SanFrancisco_Crime_Classification/4. San Francisco Crime Classification from a top ranker.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# San Francisco Crime Classification from a top ranker"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "본 notebook은 Yannis Pappas 커널을 참고하여 작성했습니다. (https://www.kaggle.com/yannisp/sf-crime-analysis-prediction)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Science Life Cycle\n",
    "Data Science Life Cycle은 아래의 단계로 구성되어 있으며, 본 경진 대회에서도 아래의 전체 Life Cycle대로 진행할 예정입니다.\n",
    "1. 데이터 품질을 향상시키기 위한 Data Wrangling\n",
    "2. 탐색적 데이터 분석 (EDA)\n",
    "3. 현재 Feature들을 기반으로 추가적인 Feature들을 만드는 Feature Engineering\n",
    "4. (필요 시) 데이터 정규화 및 변환\n",
    "5. 모델 성능 측정을 위한 훈련 데이터, 테스트 데이터 생성 및 파라미터 조정\n",
    "6. 모델 선택 및 평가, 결과 예측을 위한 모델 생성"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from shapely.geometry import  Point\n",
    "import geopandas as gpd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.model_selection import train_test_split\n",
    "import seaborn as sns\n",
    "from matplotlib import cm\n",
    "import urllib.request\n",
    "import shutil\n",
    "import zipfile\n",
    "import os\n",
    "import re\n",
    "import contextily as ctx\n",
    "import geoplot as gplt\n",
    "import lightgbm as lgb\n",
    "import eli5\n",
    "from eli5.sklearn import PermutationImportance\n",
    "from lightgbm import LGBMClassifier\n",
    "from matplotlib import pyplot as plt\n",
    "from pdpbox import pdp, get_dataset, info_plots\n",
    "import shap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "train = pd.read_csv('data/train.csv', parse_dates=['Dates'])\n",
    "test = pd.read_csv('data/test.csv', parse_dates=['Dates'], index_col='Id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count                  878049\n",
       "unique                 389257\n",
       "top       2011-01-01 00:01:00\n",
       "freq                      185\n",
       "first     2003-01-06 00:01:00\n",
       "last      2015-05-13 23:53:00\n",
       "Name: Dates, dtype: object"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.Dates.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(878049, 9)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "훈련 데이터는 2003.1.6.부터 2015.5.13.까지의 범죄를 담고 있으며, 총 9개의 features가 있습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Dates</th>\n",
       "      <th>Category</th>\n",
       "      <th>Descript</th>\n",
       "      <th>DayOfWeek</th>\n",
       "      <th>PdDistrict</th>\n",
       "      <th>Resolution</th>\n",
       "      <th>Address</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>2015-05-13 23:53:00</td>\n",
       "      <td>WARRANTS</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>NORTHERN</td>\n",
       "      <td>ARREST, BOOKED</td>\n",
       "      <td>OAK ST / LAGUNA ST</td>\n",
       "      <td>-122.425892</td>\n",
       "      <td>37.774599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2015-05-13 23:53:00</td>\n",
       "      <td>OTHER OFFENSES</td>\n",
       "      <td>TRAFFIC VIOLATION ARREST</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>NORTHERN</td>\n",
       "      <td>ARREST, BOOKED</td>\n",
       "      <td>OAK ST / LAGUNA ST</td>\n",
       "      <td>-122.425892</td>\n",
       "      <td>37.774599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>2015-05-13 23:33:00</td>\n",
       "      <td>OTHER OFFENSES</td>\n",
       "      <td>TRAFFIC VIOLATION ARREST</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>NORTHERN</td>\n",
       "      <td>ARREST, BOOKED</td>\n",
       "      <td>VANNESS AV / GREENWICH ST</td>\n",
       "      <td>-122.424363</td>\n",
       "      <td>37.800414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>2015-05-13 23:30:00</td>\n",
       "      <td>LARCENY/THEFT</td>\n",
       "      <td>GRAND THEFT FROM LOCKED AUTO</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>NORTHERN</td>\n",
       "      <td>NONE</td>\n",
       "      <td>1500 Block of LOMBARD ST</td>\n",
       "      <td>-122.426995</td>\n",
       "      <td>37.800873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>2015-05-13 23:30:00</td>\n",
       "      <td>LARCENY/THEFT</td>\n",
       "      <td>GRAND THEFT FROM LOCKED AUTO</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>PARK</td>\n",
       "      <td>NONE</td>\n",
       "      <td>100 Block of BRODERICK ST</td>\n",
       "      <td>-122.438738</td>\n",
       "      <td>37.771541</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Dates        Category                      Descript  \\\n",
       "0 2015-05-13 23:53:00        WARRANTS                WARRANT ARREST   \n",
       "1 2015-05-13 23:53:00  OTHER OFFENSES      TRAFFIC VIOLATION ARREST   \n",
       "2 2015-05-13 23:33:00  OTHER OFFENSES      TRAFFIC VIOLATION ARREST   \n",
       "3 2015-05-13 23:30:00   LARCENY/THEFT  GRAND THEFT FROM LOCKED AUTO   \n",
       "4 2015-05-13 23:30:00   LARCENY/THEFT  GRAND THEFT FROM LOCKED AUTO   \n",
       "\n",
       "   DayOfWeek PdDistrict      Resolution                    Address  \\\n",
       "0  Wednesday   NORTHERN  ARREST, BOOKED         OAK ST / LAGUNA ST   \n",
       "1  Wednesday   NORTHERN  ARREST, BOOKED         OAK ST / LAGUNA ST   \n",
       "2  Wednesday   NORTHERN  ARREST, BOOKED  VANNESS AV / GREENWICH ST   \n",
       "3  Wednesday   NORTHERN            NONE   1500 Block of LOMBARD ST   \n",
       "4  Wednesday       PARK            NONE  100 Block of BRODERICK ST   \n",
       "\n",
       "            X          Y  \n",
       "0 -122.425892  37.774599  \n",
       "1 -122.425892  37.774599  \n",
       "2 -122.424363  37.800414  \n",
       "3 -122.426995  37.800873  \n",
       "4 -122.438738  37.771541  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Dates - 범죄가 일어난 일시\n",
    "- Category - 범죄 유형 (이 값이 Target variable임)\n",
    "- Descript - 범죄에 대한 자세한 설명\n",
    "- DayOfWeek - 요일\n",
    "- PdDistrict - 경찰 관할 지역 명칭\n",
    "- Resolution - 범죄 해결 여부\n",
    "- Address - 범죄 발생 주소\n",
    "- X - 경도(Longitude)\n",
    "- Y - 위도(Latitude)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Dates         datetime64[ns]\n",
       "Category              object\n",
       "Descript              object\n",
       "DayOfWeek             object\n",
       "PdDistrict            object\n",
       "Resolution            object\n",
       "Address               object\n",
       "X                    float64\n",
       "Y                    float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "object type, 즉 string type은 카테고리형 데이터이기 때문에 추후 인코딩이 필요합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2323"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.duplicated().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2323개의 중복행이 존재해 제거해줘야 합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_gdf(df):\n",
    "    gdf = df.copy()\n",
    "    gdf['Coordinates'] = list(zip(gdf.X, gdf.Y))\n",
    "    gdf['Coordinates'] = gdf['Coordinates'].apply(Point)\n",
    "    gdf = gpd.GeoDataFrame(gdf, geometry='Coordinates',\n",
    "                          crs={'init': 'epsg:4326'})\n",
    "    return gdf\n",
    "\n",
    "train_gdf = create_gdf(train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AngBGAcgl+WNlny8GIO+PhoYGioqKoKKiAnd3dzx69Agk0bx5c6irq+Pq1aswMjKCvb29EHhkZWWhQ4cO6NSpE7755hvY2tqia9euWL16Ndq0aYOioiIMGTIEEydOBPA8YZi1tTWA5wHFnDlzoKamhgsXLuDUqVP49ddfcfr0acTGxiI3Nxc3b96EtrY2/vjjD6xfvx6HDx9G165dhds3JSUlyMnJQV5eHlRUVKCqqgplZWVheWZmJhQKBTw9PdGiRQu0atUKHTp0eOWXD0ncuHEDu3btwpEjR5Cbmwt1dXUhJ8jLSb2UlJSgoaEBLS0t1K1bF82aNYOnpyfatWv3UbaUhIeHo2PHjkhNTYWPjw8OHTr0vqtUaaWlpQgLC4NcLoezs3O1jWqpSUVFRQgNDUVISAhu3LiBGzduICYmBqamptDU1ERqaiqePn0qbK+trY28vDwAgJOTE65fvw59ff1qr2NwcDAePXok5L85fvw4Hjx4IHTytrS0hKamJqKiotC4cWNYWFhAoVCgRYsWmDZtWoX7fTEMv169etDT0xP6dj179gzXrl0T8vCsXr0aAwcOrNZj/LtFixbh999/F86PL847ZmZmcHZ2hpOTE5ydndG0aVM4OTkhJSVF6If0KaupAKQzgAUkW0okkoUQA5CPRk5ODu7evStkyLS2toaNjQ3Cw8Ph4eEBU1NT9OjRA8XFxcjOzsbJkyeRnZ0NAGjVqhUuX74MAGjYsCHc3d0RGxuLpKQk2Nra4sSJEwCe347x8fEBSZw8eRI//vgjVFVVcf/+fQQGBsLb2xuLFy+Gra0tFAoFSMLBwQEdOnRA7969kZqaihs3buDs2bPIz89Hbm6u0Jzr4OAAExMTaGtrC0FDUlISdu3ahQ0bNmDcuHFv9HqQRGJiIkgK2UbV1NSEZGZyuRyFhYXIzc3FnTt3EBQUhM2bN0NdXR2bNm1C69atP7qr7MTERFhaWgJ4Htx9Cn1ePjQXL17EV199hbi4ODg7O6NZs2aoX78+8vPzERsbK4wCsrGxgYuLC2rXrg1HR0fhYWVlVW23zQoLC+Hn54fg4GA8ffoUoaGhcHFxgbOzs5Bvxs3NDV5eXtDU1ISmpiZiYmJQVFQEd3f3d/oSVigUiIqKEvLpHDx4EAsWLMCkSZOq8Ahf7/Lly2jdujVGjhyJqVOnori4GJGRkcjOzkZycjJiY2MRExOD27dvo2XLljA3N8eePXvK7adOnToIDw//IG9vVpeaCkC2ArhB8pf/BSAjAWQDCAEwg+SzCp4zDsA4ALCxsXGPj4+vsvqIXi80NBTdunWDp6en8IWuoqICGxsbWFhYCF+4GRkZMDc3h4GBAdTV1bFr1y5cuHBB2I+6ujqcnZ3h6OgIfX19aGtrQ0dHB4aGhvjyyy8rvBLbtm0bbt68CYVCAalUimHDhgktHdnZ2cjJyYFMJsOECRPwxx9/4NmzZ0hNTYWOjg5MTEwglUqhqqoq9FHJyckRmqW1tLQglUrx+PFjaGhoYO3atTVypZSWloa1a9di7969aNasGTZt2vTRzLdy9+5ddOvWDS8+f7GxsbC3t3/Ptfp0ZGRkYP/+/Zg0aRKkUini4uKQm5uLb7/9FocPH0atWrXg7e2NHj16wNXVtdqvqAsLCyGXy4Ur/Pz8fNjb20NFRQWrV6+Gvr4+PD09q72VJTk5GbVq1RI6nHt7e8PS0hJjx45Fw4YNazTIl8vlCAgIwMGDB+Hv7y9c+GhqaqKkpARKSkpQKBQwMjLCqlWrkJaWBn9/f1y7dg2hoaFCDpjx48dj3bp1H90Fyruo9gBEIpGoAUgE4EoyRSKRmAJIB0AA/w+AOcnRr9uH2AJSs17037C2tsbWrVuho6OD4uJixMfHIzk5GSUlJSguLsb9+/exf//zbj7/+c9/0LlzZ+FerqGhIZycnIRx/yUlJbhz5w5OnDiBuXPnomnTplBWVsbevXuFhEsHDhzA4sWLERUVBUdHR8jlckRGRmLZsmUoKirC+vXr0apVKxgbG6OkpATp6ek4evQo9PX1ERwcjAMHDuDs2bNIS0vDnTt3ADwPaEJCQvDw4UNERkbCwsICjRs3xurVq4XREMbGxujatSv69OmDunXrVtvrmp+fj0GDBiEvLw+///57tZ+k38XevXuF3Bg//fQTgOedifv371+uQ6+oeuTm5gqvtb+/Pzp16oQ9e/Zg9uzZGDNmDL766qs3HpH04rbFm+as6dKlC0JDQ5GdnQ0VFRWUlJSgtLQUmpqayM/PF6YsqKkvzydPnqBbt27Q0dFBRkYGYmJihM+yVCpFUlISSkpKhBYYXV1dDBs2DN7e3kIrjKqqKkaOHImrV69CJpPB0NAQEokEmpqa6NKlC7y9vWFkZPTGdQsODi6XrXjcuHHYsGFDVR3+v8arAhDhjfquDwC9AJx8xTo7AHf+aR/u7u4U1QyFQsHp06ezXr16jIyMLLc+OTmZS5cupZOTEw0MDKiurk57e3taWFgQAJs2bUobGxt27dqVfn5+7NChA5s2bcp27dpRVVWVTk5OxPPgkwD48OFDFhcXs3HjxsKyW7duMSwsjGvXriUA2tra0sHBgQEBASRJf39/tm/fnsbGxuzRowcjIiLYunVrdurUiXv27GFgYCAbN25MKysrmpubc/HixTx48CDv3LnDVatWUSqVUlVVlXZ2dtTX16eamhqVlJQIgLdv367W17e0tJSTJk2is7Mzb926Va1lvY38/HyuWbNG+F/UqlWLCxYsYHBw8Puu2ifl0KFDNDQ0ZPPmzfnnn3/y7t279PLyoru7O2/cuPFW+zx16hStra2prKxMc3Nzuru7c+TIkSwtLWVQUBAdHR15+vRpkmRxcTEzMjKYlJTEtLQ0mpmZ8fr165TL5VV5mFVGoVAwIyODCxcuZGBgIOPj45mYmMjIyEiGhITw8OHDdHFxoYmJCXV1damsrExlZWUqKSnx5MmTvHjxIo8cOcLDhw9z+/bt7NOnDw0NDRkeHv5G9UhKSuJXX31FFRUVWltb08bGhmpqarS0tOSqVau4c+dOHjt2jIGBgYyMjGR6ejpLS0ur6VX58AEIYUWxQUUL3+YBYB+AUS/9bf7S718D2PdP+6iuAEShUDA6Oprx8fFUKBTVUsbH5ttvvyUABgYGlntNNm7cSAMDA9rZ2dHLy4v+/v589uwZSTI2NpZLlizh6dOnGR0dzd27d3Pw4MHcvXs3AwICqKurSwC8fPkyMzMzOWjQIHbs2JEKhYIlJSX08PAQvvR+/vln5uTkUKFQMCQkhPXq1eOQIUNoYGDAhg0b0szMjL/99hsfP35Mkty6dStbtmxZ5uSYl5fHRYsW8cGDB+WO0c/PjwCopqbGOnXqcMGCBZwzZw5btGhBHR0dfvbZZ/zrr79YUlLChISEKj9BHDx4kFKplL///jsLCwurdN/v6vDhw2UCRG9v7/ddpU/OrFmzKJFIuGbNGmFZ9+7dOXPmzLd6LyoUCp48eZLm5uYMCAhgcXExHz9+zJ07d1JVVZV//PEHBw0aJPzPW7duTS0tLUqlUpqamlJfX19Yl5WVVZWH+l4VFxczLy+vwnXZ2dm0sLDg8uXLhWUxMTH89ddfGRUVxZKSEkZGRvLixYtMTEykQqHgvXv3OG7cOOrr6/PYsWMMCAjgnj176Ofnx4ULF3Ly5MkcMmQIu3TpwqZNm9LBwYEGBgZUVlZm586dGRMTU1OHXmnVfX6q1gAEgBaApwD0X1q2C0A4gNsA/nw5IHnVo7oCEH9//zIn2yVLllRLOTk5OTx//jzPnDnDFStW0MPDgw0aNGCfPn145MgR/vXXXzx9+nSFLQ41zd/fn127dqWNjQ1lMhmXL1/OmTNnslOnTgTAZcuWUUdHp8zrNn369H/c75UrVzhlyhTm5+eTfP7hd3Jy4ubNm4VleXl5PHz4MPv160epVEpXV1dqa2uzfv36NDY2Zu/evTly5Eh27NiRJiYmPHbsGEny1q1bVFZWJgD6+vr+Y11yc3MZFRXF4uLiCtft3LlTCFAMDQ3ZqFEjHj58mA8fPqySK8CJEydSQ0NDeP26devGq1evvvcgeN++fQTA7du38/r16xw5ciStrKxYUFDwXutVEzIzM+nn58cVK1bw559/5oIFC/jFF19w7Nix3LZtG6Ojo2vs/zNu3DgCYIMGDbhixQo+efKEixcvplQq5dy5cxkXF1fpfd27d4+enp50cXHh77//Xmadtra28B7s3Lkzhw8fTgBs2LAhs7Ozhe1KS0t58eJF9ujRgwkJCVV2nB8yuVxOX19fGhkZcerUqdy3bx9tbGzo4+NDCwsLqqqqslatWmzWrBmNjY2ppaVFKysrurq60tzcnHfv3q10WcXFxVyyZAmNjY3p5ubG2bNn09/fn0ePHuXevXu5adMmrlq1isuXL+f69et58ODBN3oPvI3S0lIh8HyTY3lTrwpAPolEZKGhoZgxY4Yw9frUqVPh7u7+zvstLi7G3r17ceLECURGRiIyMhL169eHqqoqateujYEDB0JfXx+3b9/Gzz//DJlMhpSUFERERKBhw4bQ1dVFZmYmrKys4OzsDDs7O+jp6UFXVxe2trbCeP969erB0dHxje/nZmVlISIiAjExMWjdujUCAgLw119/YciQIRgwYAAUCgXOnz8PXV1drF+/Hs7OzmjQoAEaNWoECwsLJCUlwcLC4rVlREVFwcnJ6bXbnD17FosXL8aNGzeEobA9e/aEs7MzkpOTceHCBZiZmeHBgwfw9/fHwYMHhedevXoV/fr1w7x58zBx4kSMHTsWmzdvhq2tLT7//HNYWVnB0dERDg4OkMlkkEql5Tp+pqenIyQkBB06dCgzRwUApKamQl9fH2pqatizZw927tyJu3fvIjMzE82aNcP8+fPRrl27N3rdXxYQEIBhw4ZBRUVFmHXW09MTgYGB76UTWkREBNzc3CpcFxQUBE9PzxquUfVJTExESEgIIiIiIJFIkJ+fjw0bNqB9+/awsrJCQUGBkK2zSZMmyMvLE/o6bd26FcOHD6/2kQpZWVm4e/cuJk+ejMTEROTn5yMrKwvA8wR4f5/b5lU2bNiAZcuW4cGDB+Xq/OjRI7i7u2P69OmYN28eQkNDkZWVBalUikaNGlX5MX2MoqKicPDgQZw/fx69e/fGhAkTQBLFxcVlOvxmZGRAKpW+03xQcrkc169fh7+/PwIDA6Gurg4dHR3hoaGhgczMTKSkpODy5cv44YcfMHr0a7tPlhMSEoLS0lKYmJjA1NRUyAnz4ov/Rf1jYmLg5OSEJk2a4PDhw/94vn9bYibUKvb06VP07dsXADBy5Eg4OzujUaNG0NDQ+MfnpqenIz4+HtnZ2ZBKpUhISEBkZCQeP36MnJwcZGVlIS4uDlKpFNra2rh9+zbS0tKQn58PLy8vNGjQAO7u7ujevTuMjY1RVFSEI0eO4MyZM8jMzISRkRHCw8MRFhYGFxcX2Nra4vjx45DJZPj222+xYcMGFBUVoaCgALGxsRg9ejSCg4MRHR0NmUyGtm3bol27dnB1dRUSegHPc4VYWVmhTp06wiiVjRs3Vph3IS8vD8+ePYO2traQF+PlLz9nZ2fs378f3bp1A0kYGRkhMTEREokE5ubmWLJkCXr16oWkpCSh/Llz58LX1xeBgYFITExEcnIyHj16hPPnzwtZTF/kMtHX14eWlhaysrJQUFAAV1dXREZGolatWvjuu+/Qt2/f1wYAWVlZOHr0KGbNmoWffvrprRNy/fjjjzh06BAmT56MjIwMBAQE4NixY/j999/x+eefv9U+38WNGzcwbNgwaGtr4/r168LyDz3pWGXl5eVh27ZtWL16NTIzM2Fubo6cnBz06tULqqqqGD58OOrVq4f4+HjUq1cPmpqacHV1xbVr11CrVi3Ex8cjJycHtra2wtwmPj4+sLS0hImJCWQyWY0MT5bL5WUCiQEDBuC///0vHB0dYWFhAQsLC9SpU0fIb1NYWAgDAwMsXrwYkydPLveZtLGxgYeHBzQ0NLBnz55PagTGx2zp0qXYuXMn+vTpg+TkZDx58kTI1mxiYiIk1cvMzBQurm/fvg0fHx80bNgQaWlpwoXPi4BKVVZUnn8AACAASURBVFUVzs7OqFu3LlxdXdGqVSu0bt263MVZVfqkA5CrV69i7ty56NatG3x8fCrM0vlPMjMzMXbsWCQkJKC4uBgxMTHo3bs3Nm/eXCMnpJycHBgYGGDevHkwMDDAlStXcOrUKZiYmCAnJwdubm7o2bMnTE1NkZaWBicnJ7Rt21YIiF6kMZdIJCAJf39/aGlpIS0tDffu3YO7uzvat2+PJ0+e4MyZM7h06RLu3buHqKgo6OrqQl1dHfn5+VBRUUFmZiZ8fHzQvXt3YehrVlYWsrKy8PjxY9y8eRNpaWlC+nVtbW04OjpCWVkZly9fxmeffYaffvoJ8fHx6N69O1RVVaGmpgZ1dXVkZGRgxIgR8Pf3x8aNG+Hj44OLFy8iMTER48aNg5GREZ4+fQpvb2/88ssvMDAwEOYEGTZsGFJSUnD//n1s2rQJUVFRCAoKEq5YsrKy8PXXX2Pbtm0YOXIkunTpgk6dOlU4PXhCQgJmzZqFkydPwtHREcHBwW/1f8vKysLmzZtx+fJlpKSkoLi4GKGhoXj48CHs7Oze5S1Rafn5+Xj8+DHCwsLw119/ISAgAAYGBujduzf69OkDd3f3j/4LKTU1Fb/88gtWrVqFnJwcjBo1CpcuXUJsbKyQudbc3BwqKiqQyWR48OAB+vfvL4xYqFu3Lu7duwdra2uYm5tj7dq1MDU1xW+//YZTp04hNTUVqampyMjIQOPGjdGzZ0/06NED9evXL/faBQQEQE1NDba2trCysnrlRUlRURGuXbuGCxcuYNeuXbCxscHWrVuRnJwMuVyOmJgYnDx5EiYmJoiJicGRI0ewa9cuWFlZ4cmTJ7h9+zYuX76MiIgItGzZEteuXYOWlhbU1dWxfft2IYuwQqGAnp4eTE1NERcXBy8vL2EiONGHLScnB6dPn0ZYWBgsLCxgbW0NNTU1KBQKpKSkIDExEQCgr6+PmJgYbNmyBY0bN8aZM2ewceNGjB07FiSRn58PJSUlIUdSZGQk7t69izt37uDMmTOIi4vDrVu3arwFpMo6oVbFo7r6gPz2229s2rQpv/rqK1pYWNDV1ZU//PADk5KSKr2PzZs3C/0FJkyYwLS0tGqp6+vIZDJeunRJ+LugoID3799ndHR0tZUpl8v56NEjXrp0ibt37xbuJTdr1owdO3Zkly5d2L17d7Zp04YDBw4U1s+ePZvr16/nuHHjKJVK2axZM9avX5/e3t709/fnyZMnuWPHDm7YsIEA2KlTJ9rY2BAAO3ToQKlUyqdPn5apy+TJk3nkyBFmZmZSS0uLt27d4u7du2lhYSF0VCWfd8ZzcXHhkCFDyh3PsmXLaGBgQH19fXp4eFBXV5ddu3ZlcnJyme1SU1M5depUuri40NjYmD4+Ppw5cyaPHTv2Vn0EFi1aRAsLC37xxRc8f/78Gz+/ssLCwvjll18K/Y9kMhnV1dXp6OjIHj168JdffmFsbGy1lV/THj9+zDFjxlBXV5dqamrU1dVlrVq16O7uThcXF0ZFRXHWrFnU1NQkAPbt25fLly/nqVOnyvwfzc3NaWVlRT8/v9eWV1RUxFOnTnHKlCmsVasWra2tOXnyZCYmJgrbaGlpEQDt7OwIgC4uLiwoKOCzZ88YEBBAX19ftm3bltra2nR3d+fQoUOFz42RkRE9PDzo6enJ3r17c/369Zw4cSJNTEy4fPlyFhUVlatTamoqt2zZwh49egivw65du8psExwcTBUVFbZo0YJeXl7vvR+SqHokJyfzl19+4aVLlyrs+/YqjRo1YkhISLXVC9U9CqYqHtUZgAwcOJDk8y/US5cucfTo0ZRKpfTy8qKfnx+3b9/OP/74g1euXHllB8Rnz57xyJEjbN++PRs0aMCDBw8yJyenWupcEWNj4zIBSE1LS0ujl5cXP/vsM7Zr145dunRhnz59OHz4cH733Xds27YtVVVV2b9//zK9zh89esRDhw7R399fOPm2b9+eQ4YM4ciRIzlu3DiWlJSQpNAB9t69e6+sR2lpKX18fGhubk5HR0fevHmzzPri4mJ+8cUX9PT0LPdcmUzGXr16UUtLi7NmzWJeXh6bNWsmvD8qEhcXx//+979ctmwZXVxc6OPjw9OnTzMoKEjoWPs6x44do46ODp88efKP274thULBVatWUSaTcenSpQwMDGRoaCiTkpI+2CGV7+rChQs0NzfnN998Q2dnZzZr1oy//fYbMzIyKtz+22+/Zd26dStcl52dTXt7e5qampZb96oRAgqFghEREZw1axZNTU2FkSvz5s1jo0aNeOLECSGwOHz4MA0MDNi2bVvOmzeP/v7+zMzMFPYVHx/P4ODgdz6fZGdnlxsRdvfuXdavX58DBgygp6cnPT09KwxkRJ+uxo0bv5cA5JPJtVxcXIyIiAg4OzujVatWaNWqFVatWgU9PT1cvHgRw4YNQ3Z2NqKjo6GkpIR58+ahX79+wu2VlJQUXLx4EUFBQSgqKkJYWJjQB2T79u0YMWJEjRzH+2wqNzY2LpMB9e9IIjs7u1ziLWtra2EOmG7dur22jISEBKHPx6soKyvjjz/+wKVLl9CwYUOMHTsWRkZGMDMzw8OHD+Hv7w9HR0f4+vqWe+7OnTtx8+ZNDBo0CJ9//jlWrFiBR48eYcWKFeW2zcrKwq+//ork5GT07NkT/fr1w/Tp07FixQosWbIEgYGBWL9+PUaNGvXa+jo5OaG0tBRxcXFV2sRZVFSEmJgYHDp0CAcOHICqqiqCg4NRq1atSj9/y5YtePjwIRQKBUaNGiX0hwgPD0fjxo0RGxuLP/74A8nJyUhKSsKVK1feKmlTVSKJ9evXY9GiRdi1axeWLVsGFRUVnDx58rXJ01xcXJCTk/O89/3fPkd5eXlITk4u9zl+sZ2Kigrat28PNzc3uLm5wdXVFZqamrh37x4SEhKQkpKCL774Avn5+ZDJZLhz5w4SEhLg4eGBmzdvYurUqZg9eza++eabCutmY2MDGxubd3xlICTjeuHIkSMYNGgQCgoK8PDhQ/Tu3Rvbtm17p06UIlGVqSgqeV+P6moBeZEPAgAnTJjAFStWcMeOHczIyOD169f5119/kSSPHz/OH3/8UUiW5e/vz6SkJHp6elJbW5s9e/bksmXLeObMGXp7e9POzo4SiYR9+/atlnr/nZGRES9fvlwjZX0MCgoK2LdvX1pZWbFJkyYcOXIk161b98px9jExMbx06RIvXLjA48ePc+7cuQRQpvn8ZevWraOenh7nzp1LW1tbDho0iBEREUxKSqKPjw9dXV3LXMW+Sk5ODi0sLDhx4sR3usINDg7m/Pnz2bt3bzo4OFBNTY12dnacMmUKL1y48Ma5IwYMGEAAtLe3p4+PD83MzGhmZkYnJycOGTKEdevWZefOnblhwwaeOXOGysrKHDFixHvNaZKXl8cRI0bQzc2NkZGRbNasGe3s7MrdQnvZ/fv32bVrV+rq6lJbW5vW1tZcsGBBudsQwcHBVFJS4rlz54Rl4eHhwnDZ3bt38/vvv+fQoUPZqFEj4fYcABoaGnL58uXcu3cvx44dy+nTp1OhUFChULxRU3hVO3fuHCdMmMA5c+a8l9vGoo/D+2oBee9Bx8uP6gpA9u/fTwBcsWIFhw0bxhkzZrBjx46sX78+ly1bJox/trS05NixY7l48WKGhYWRfN6cv3DhQpqYmHDatGk8c+YMIyIieOnSJUZERPDYsWMcMWIEBwwYUO33VY2MjHj16tVqLeNjkZOTw379+tHT05NNmjRh27Zt6ejoSDs7O86YMYMnT54s84V85swZGhkZsWXLlmzdujU7dOhAiUTCRo0avbI5OjU1lUOHDqWRkREHDRrEbt260dLSktra2pw/f/4bfRFnZGSwT58+HD169Fsd79atW2lqakpfX1/u27ePd+/eFW5bva158+aV6XtQVFTEu3fvvvJ9fPbsWaqoqHDevHnvVO7bunfvHt3c3Dhs2DDm5uayXr16tLW1LddX6GUZGRnU19enn58fnzx5wjt37gjJ8P5+q+b777+nrq5uha+rm5sbb926xZ07d9LAwIAeHh6cPXs2Bw8eTKlUWqlAVCT6UCgUCu7Zs4cBAQH08/Ojurp6tWaH/qQDkOLi4nIniJKSEh44cIDTpk2jqakpTU1NaWhoyISEBCG978tSUlL41Vdf0cvLi7Vr12bz5s1pYWFBd3d34SQuBiDV6/r16/zyyy/Zv39/WlpactCgQezevTtnzZpF8nlQ0r9/f8pkMlpZWbFu3bpctmwZi4uL6efnR319fVpaWlJXV1dIyW5oaEgPDw+uXLmyTKfkoqIihoeHU6FQMD4+nitXrqSxsTEvXrz41leSISEhtLW1ZW5u7hs/t2PHjty3b99blfsq6enpHDx4sPD+XbVqFW/evMn09HQqFAomJSXxwIEDnDJlChs1akR9fX0uXbq0xhOWJSYm8quvvqKhoSE3bNjAu3fv0s3NjQC4aNGiVz4vKiqKgwcPpqmpKW/evMnevXvTxMSES5YsqbA/zoMHD2hmZsaRI0eWWzdq1CgaGRkJr9X58+e5YMECdu7cWehLJBJ9LEpKSspkQX7bzvWV9UkHIP+kqKiIiYmJzM/PL5P5EwB79uxZbvvff/+dM2bM4HfffUcLCwtqamrS1dW12uv5qQYgBQUFvHr1KvX09LhixQru3buXN2/eFDI6AuCIESNoaGhIHx+fMuneAQgdWjMzM/n48WNmZWUJHTNLSkp46tQpYduwsDAqFApGRUUJyyZOnMgrV65w8+bNFXZsrSyFQsExY8awSZMmlR65FBkZyaFDh9LFxaVM1sqq5Ovry86dO7Nr1650c3Ojvr4+1dXVaWBgwG7dunH58uW8fPlyjd56yc7O5v79+zlw4EAaGBhwxowZTE1NJUk6ODhw6NCh3LdvX4WtV1evXmXfvn1pZGTExYsXc+nSpZTJZFy9evU/BgqWlpa0tbXlmTNnyq1LSEjg9u3b+cMPP1TNQYpE75FcLufYsWPZo0ePak+9LwYglRQeHs5Tp05x4cKFtLOzK3OFpVAouG7dOpqZmfH777/nlClTGBwczJSUlBqpm6GhIYOCgmqkrA/FkSNHaGFhQWdnZ06bNq3Muhf32P/8808uXbqUJ0+eLBN43LlzhxcvXuTy5cv59OlTLlq0iL179+bs2bO5efNmHjlyhN999x137tzJ6Ohozp8/n7a2trS0tOSIESO4ePHiMvtTUVHhxIkT3+l4FAoF/fz8aGxszIMHD7522/Pnz1NbW5uLFy8W5uKpKbm5ue9lqGZWVpYwrLZLly7csGFDuc+XhobGK/t8LF++nHZ2dvTz82NOTg6DgoJoamrKR48eVar8lJQUNm/enEZGRu98LCJRVcvNzeXEiRPp7e0tTCj4JkpLSxkcHMwlS5awf//+Qv+mlStXVkNt/48YgFSBVatW0c3N7bVDRN/Em15RfmoByPLly1mrVq1K5824du0a7e3tOXr0aKFfj1QqJQAePXqUSkpK3LVrF5csWcIRI0awS5cunDlzJrt160aZTMYlS5awtLSUUVFRXLt2LUeOHMmWLVsKAUheXl6VdSgMDQ2lkZHRa99LaWlpVFFRqdGh3u/bwIEDOXDgwFcOpSVJPT09+vv7l1uenp5OIyOjMp2QXyyLj4//x7JjY2PZqVMn6uvrc//+/W93ACLRO8jIyOCuXbu4aNEijhgxgkOHDhWG+sfHx/Pzzz9n27ZtqaKiUulZtuPj4zl37lx269aNBgYGdHV15bRp07hz507+9NNPnDVrFh8+fFiNR/XqAOSTGYZbFZSVlZGYmFhmboC3ERAQIAxHjY+Ph42NDQ4cOICgoCDY29ujf//+kMlkVVHlj9bmzZuFDKKVHbrapEkTxMbGlll2+fJlREdHo0ePHqhduzZcXV0xdOjQcs+9f/8+vvjiC6xatQq6uroYNWoUtm3bJqwvLS2t0oy3jRs3xsqVK9GyZUv4+PhAU1MTSkpK6NevH1q3bg0A2Lt3Lzp16gQdHZ0qK/dDp6mpiebNmwvp+ysyfPhwjBs3DgkJCWWWx8XFAXg+vPgFQ0NDKCkpIS0trdww19LSUuTk5CAnJwcbN27Ef/7zH3h5eeHRo0fQ09OruoMSiSrh2LFjGD9+PDw8PODq6orWrVvjyJEjGDduHAoLC3Hy5Eno6elBR0cHY8aMQYMGDco8X6FQICYmBg4ODlBSUsK1a9fg5+eH48ePY8SIERg7diw2bdpUbdlO34YYgFTCtWvXhEm6HB0d4eXlhdmzZ0MqlaKkpASDBw+u1BwwhYWFWLt2LWbOnAkAOHz4MJSUlPDnn3+if//+mDlzJq5cuYK5c+fC1tYWrVq1gr6+PnJzc+Hk5ISMjAy0b98eZmZm6Nu3L5YvXw4lJSUoFApcvHgRXl5e/4rx/UVFRZg/fz7OnDnzzh8WV1dXuLq6AgB69OiB7du3VzgBl4uLCy5cuICnT59i3759uHr1apn1KioqOHr0KHx9fbFr1y7Uq1fvneoFAKNGjUK7du3g7+8PksjLy8PQoUNRv3592Nra4sCBAzhx4sQ7l/MxcXBwKBdE/t39+/fRrFmzcsvd3d2FIGLhwoWYNGkSAMDb2xsdO3bElClThJTVISEhCA8Ph7q6OrKysqCuro7Ro0dj3bp11XJcIhHwPB/V3yfLzMrKwtSpU3Hx4kXs3r0bbdu2FdZ5e3tj6NChUFJSgpaWFmxsbODj44MGDRrg4sWLOHDgANzc3BASEgJ/f3/I5XIYGBjA1tYW0dHR+Oqrr7B27doK5+v6EIgBSCXUrVsXY8aMweXLl9GxY0eMGDEC33//PdTU1HD8+HHcv38f48ePR0lJiTDniVwuR2lpqdBaEhYWhq5du6JBgwZo27YtFAoFVq5cifv378PDwwOTJ0+Gr68v9PT0UFJSgrCwMFy5cgUFBQUwNzfH/fv3YWdnh7i4ODx48AA//PADDh48CHd3dwQEBKCkpAS1a9cW5of5mKWkpEBJSQkODg5Vts/c3FzcuXOnwnlfXlBRUYGpqSnatm2LNWvWoLCwUAgsAwICMHbsWIwfPx7du3fH+fPnYW9v/871srOzw8SJE4W/p06dij179qCgoAA7duxAw4YN37mMj0mdOnWwadOmcsuPHz+OdevW4dmzZ4iNjX3lXCbdu3fHihUrhIm1JBIJNm/ejPnz52PatGl4/Pgx0tPTkZ2dDYlEAmtra2RlZaG4uBhNmzat1mMT/XtFREQgPDwcKSkpSE5ORkpKCkhCT09PmBjzxIkTuHTpEjQ1NdGtWzds374daWlp+Pnnn7Fjx44KZ6MuLS2FhoYG7t27h23btqF58+Zo0KABrK2tkZeXh86dO8Pf3x/t2rXDnDlz4ODggLNnzyIgIAB//vnnO7fWV7uK7su8r8eH3gekIr6+vpTJZDQ0NBTmf3gxp0nr1q2F7W7dukVlZWVu2rSJQUFBXLhwIf39/d84JXJhYSG3bNlCCwsLoW+Cn58fT506xbp161JFRYXDhw+v6sOsUampqXR2dqa6ujp79+5dJfucP38+DQ0NK9UXQC6Xs127dtTU1OTcuXM5btw4Ghoa8sqVKyTJtWvX0sbGplrn4Pk32LlzJ7t06cJevXqxZ8+elcpbkp2dTT09Pa5fv56xsbE8efIke/bsSUdHRy5atIgAGB4eXuFzJ0yYQG1tbc6cObPCDrS//vor9fX1+c033zA5OZmZmZncs2cPAXDLli3vfLyiT09aWhrHjBlDMzMz9u/fn5MnT+aSJUu4adMmbtmyhT///DMXLVrEGTNm8L///S+LiooYGBgozCtmYWHBZs2a0d7evlySyUOHDgm5fwoLCxkVFcXatWuX64z/MYDYCbV65Obm8saNGywoKGBoaCh/++03/vbbbwTA+Ph47tu3j/369aOOjg4dHBxoaGjISZMmvXO5xcXF3L17N4cPH05PT0+6u7uzbt26BEBNTc0Kcxl8bIqLi2lnZ8cLFy5QLpe/U+Kt/Px8zp8/n2ZmZpXucPXkyRMOHDiQS5cuLTPZHUlu2LCBNjY2lR5d8akJCAigpaUld+zYIQTK06ZNEzoHv8758+c5YMAAmpub08vLiz/88AMjIiI4f/58DhgwQMj78jK5XE6pVFrh6Jj4+HguWrSIe/bsYadOnQiA5ubmnDp1Knfs2EEVFRVxbhTRG5HL5dywYQNlMhmnTJnyxqPUCgsLKwySHz9+zCZNmtDQ0JCOjo7CRQ9JTps2jQC4c+fOd65/TRMDkBrw9OlTfv/99zQwMGDLli3Zp08fNm7cmEuWLCEA1qlThwDYr1+/aqvD9OnTaWJiQgD09fWttnJqyr59+6inp0ctLS1qa2uzTZs29PX1rdQXWUV++OEHdu/evUrqtnLlStapU+eNU6B/Crp3786dO3cyIyODXbt2FWYhfjHtQWUdP36cderUoYGBgZAOXSaT8fr162W2u3btGp2cnMo9Pykpiebm5pwwYYKQnK5du3Y8cOAAmzdvTisrK2poaLzXSR5FH5fQ0FA2bdqULVq0qPRIlMpITU1lmzZt2L17dyYnJ5cLUJKTk4UJMT82YgBSTbKysnj48GF+//33NDQ0ZOfOnWlra8u6dety0aJFQprorVu3cu7cuVU2hPdVSkpK+NNPPwlXnRYWFvz666+rtczqFhsby+zsbGZmZjIgIIAzZ86kmZkZhwwZwrNnz75RZtGNGzeyZcuWVVKvAwcOUFNTkwEBAeL05n8zbtw4Dh48WMiaOnbsWMpksjdOeNSkSRNu3bqVCQkJBMAOHTpw5MiRtLOzo1wu57FjxzhkyBC6ublxzZo15Z7/yy+/CFeTL4IYLS0tfv755zxz5gyTkpLYuHFjmpmZcd68ebx58+a/dvZg0bvJysrilClTaGJiwi1btlT5+2T+/PkcNmzYKy9orl+/Th8fH7Zp06ZKy60JYgBSxcLDw+nr61suc6pUKuXYsWPfe5PuN998Q09PT06YMIHKysqMi4t7r/Wparm5ufzuu+/YokUL6uvrc9iwYfT19eXy5cu5ceNGxsbGltk+Ojqa48ePp5mZ2Sv7ELypF/1x3Nzc2K5dO/7++++8d+/eJ/0FduzYMW7dupXHjh0jANra2pIkZ8yYwYYNG3Lo0KFvFKw1b96chw8fZo8ePejp6Sl8xpSUlNirVy8aGxtzzZo13LJlS7kTd0lJCRcuXEhNTU1+/fXX3L17Nzds2MANGzbQ29ub2traVFdXp4uLC4cNG0ZjY2NqampST0+v3C23j0VaWhpXrlzJMWPGcPny5QwMDHzfVfroKRQK7t+/nxYWFvziiy+Ynp5eLeU4OzuXa9l7WaNGjThnzpzXbvOhEgOQKpKamkqJRFIm6Jg8eTLPnTvHlJSUD2JOiIKCAubm5nLt2rXU0NCgubn5O09c9iFLSUnh2rVruXDhQs6ePZsNGjQQJkyLjY0lAOrp6XHatGmvTXD1tkpKSrhmzRr26NGDdnZ2rFOnTqU6u/6bpKamcty4cVRRUSEAGhgYsFGjRgTALl268Pz588zLy6ObmxtHjBhR6dfnxx9/pJqaGgHQ1dWVY8aMoba2Nj/77DOuXr2a165dY3p6Onft2sUhQ4bQ0tKSjo6OHDt2rPD51NHRoZKSEhs0aCAkklu/fj3V1NQ4fvz4MuW9mCNj3bp1Vf4aVZXS0lImJSXx5s2bDAgI4Pjx41mvXj3q6OhQTU2Nzs7O7NOnD93d3amrq8szZ87w3LlzZRIf5uTkcNGiRYyKinqPR/JxWLBgAQHQ0dFRmLDt3r17jIqKEi42kpOTGRwc/E7l1K9fv8JEkxEREZwxYwYBcOvWre9UxvsiBiBVJDc3l4MGDeLKlSt56tSp997S8XelpaUEQCUlJbZr145r166lqakp9+zZ876rVmNmzJghpNAvKChg69atOWrUqBopW6FQcPr06Wzfvj1PnDhRI2W+bzdu3KCxsTGnTZtGZ2dn4Yt/9erVPHr0qNB5LiUlhU+ePOG4ceNe2w/nyZMnPHHiBBcuXMiuXbsSAG/fvs0vv/ySAGhlZcW+ffvSwMCA9erVo56eHnv16sVff/2V0dHRPH/+PKdMmcKRI0eyc+fObN26NZs0aUJdXV2amprSxsaG2tra3LVrV4Xlb9iwgQDYokWLD+rz/dtvv1FdXZ1KSkrU0tKisbExra2t6eXlRT8/P4aFhZVrfbOwsKCZmZnQL2zTpk0cNGgQNTQ0CIBeXl41nua/Jj19+pR//fUX9+/fz3Pnzr1V62R6ejrPnTvHFStWUCaTsUOHDjQ1NaWVlRXbtWvHxMREOjo6EsA7zakydepULl++vNzyevXqcfr06bx27dpH27oqBiCfCIVCwbZt2xIABw0aRPL5vUMtLa0ys73+m509e5bOzs7Cl0dCQgINDQ1r7MskOzubP/74I2Uy2Vt3lv2YJCUl0dDQkE+ePGFRUREfPHhAFRUVXr58mXp6emzQoAHr1KkjXIEXFhbS3t6e8+bN48mTJ4X9JCcns3nz5jQwMKCNjQ21tLQ4evRoHj9+XNjm5bT0d+7cIYByM1e/Snh4OJWVlblmzZrXtgjevHmzzAzBH4ohQ4YQQIUz+VaGjY0Nrays6O3tzfDwcEZFRbFu3bp0cnKq9snIatrhw4epq6tLFRUVmpub097enkZGRlRXV6eDg8NbzywdERHBXbt2MSsri6WlpfT19aWBgQGNjY2ppKT0Ti0Uhw4dYqdOnUg+v5CcN28e27dvT0tLy4++o7sYgHxCXgxfBSCMOpg5cyb19PQ4ffr091y76qdQKNijRw9OnTqVJSUlLCkpoYmJCSMiImqsDgUFBWzcuDEDAgJqrMz35dq1azQ2NmZ8fDxPnTpFHx8fduzYkZcuXSIAbtu2rdxzbt++zUGDBlFFRUU4uY4YMYKTJ08Wbh9aW1u/CMdoTgAAIABJREFUtty8vDza2Nhw8uTJlarnnDlzCIB79uzhhg0bePTo0XJfvHK5nBMmTCAAGhkZ0c7OjvXq1WNaWlrlXoxqsnfvXgKgh4dHld7mlcvlbNCgAVu3bl1l8xy9ytatW2tsjp1hw4YRQLn5tpKTk/njjz9SW1u7Svr5KBQKymQyzpw5k7/88gu//PLLt95XZmYmdXR0mJuby6tX/z975x0WxfX18UPbhWV3WdouLL0K2EBQQUFFQLFgiYBoUFGEEENQsVASNXZFjYZEgyWKvStK7DW/xGgQowZ7LNgLKlIEKTvf9w/DvK60pakx+3meecTZO/femZ2de+bec77nd9jY2GD//v3v/d5rDJrUACGibCLKIqJzFQ0RkR4RHSKiv//5V7e2epQGSONRXl6O77//HleuXGH3bd26tdEiQD50Hj58CG9vb7i6umLo0KHo1KlTk0eq5ObmIi0tDRMmTGAjLmbOnNmkbX4IJCQkQEtLCxwOB23btkVSUhLy8vIQFRXFziRUFX47ZMgQmJubY+3atWjevDmICP3790ffvn1BRAqlvQ8MDISpqalC/Tx06BAEAgGbkMvExAQaGhrQ09ODRCKBpaUlRCIRtLS0EBUVhRkzZmD37t1QV1cHn89vFL8emUyGzZs3w9LSEurq6lBVVYWTkxNmzJghZyDfuXMHV69exZ07d8AwDHx9faGhoYEePXo0uA9vU1xcDHNzc4SEhODbb7/F//73PzAMgxcvXuDJkyeN0sbYsWMhFAphaGgIoVAICwsLdOnSRS5xYGNRcT5t2rSpduZg6NChsLe3b3BbP/zwA0xNTeHj44MVK1YgODi4QfX5+voiIiICEokEKSkpDe7fh8K7MEAM3tqXRETx//wdT0Rza6tHaYA0LZ9++ikkEgkcHBwwYsSIBjtNfegwDIPU1FRMnjy52vTtitZz+/ZtnD9/HmfPnsWFCxeQk5PDGjQFBQVYt24dxGIx/Pz80LJlS1apNjMzs7FO54OGYRi5N3OGYbBo0SLWAPHx8UFCQgJCQkLQvn17tGvXDnp6ehCJRNDQ0AARwdzcHL179wYRQUdHp9q2cnJyEBUVxU57Vzi9tmrVCt9880216+QFBQVQV1fH3Llz2X2FhYX466+/sHv3bixcuBDJycmVfHe2bduGdu3aQVtbm42iqasxcuLECWRmZsLBwQEGBgaYNWsWcnNzkZubi/nz58PV1RV8Ph+Wlpawt7eHlpYWaww1a9YMpqamICKoqanVqV1Fefz4MQwMDGBoaAiRSAQ+nw8NDQ1wuVw2S3RVlJWVYf78+WjTpg2kUim6dOmCwMBA/P7772wZmUwGTU1NbNq0CTKZDJcvX8bOnTvh7e0NBwcHXLlyBbdv38bq1asxadIkpKSkKPTW/6YT6Ju4u7ujc+fONS6zFRUVwcTERCEjtybatGmDY8eOwdLSEocOHYKOjk6DnjW//PILPDw8PrropfdhgFwlIuN//jYmoqu11aM0QJqWdu3asQOCg4MDdHR0EBoa+sGF6JaUlHwwUTuFhYUYPHgwDAwM0KJFC5iZmUFDQwM8Hg8aGhrQ1taGlpYW2rdvj4yMDPz0009o1aoVe51//PFH/PXXX/9a57H6cvz4cfYa2NraYtSoUYiMjER0dDQ2b96M6OhoODk54dNPP8XNmzfRo0cP8Pl8eHh4sAZFdVTMkKSnp6O0tBSFhYXsWryWlhYr4X/z5k3k5OTg2rVrePDgAVxdXSEWiytJXitCXl4exo4dC1tbW1hbW7PKxr6+vti6dWuNx54+fRqamppQU1ODra1ttfdCWVkZlixZgqSkJPb+Ly4uRmJiIqZPn469e/c26W/15cuXkMlkkMlkyMjIQFlZGU6fPg19fX1IJBJMnToVEydOREFBAbKzszFkyBCIRCLY2dlh5syZ2LNnD8aNG4fQ0FBoaWlBLBbD2toazs7O4PF4cv4+wGsDwt/fH5qamuBwOLCzs0OnTp3g6OgIHo+HwMBAuWtVVlaGs2fPYtasWTA1NYWGhgaEQiEcHR0hlUoxatQoeHt7g4gUSpPw448/wsDAAF9//XW9QlsZhoFUKsWtW7fg4uKCzMxMxMbGIiIios51fexUZ4CovP6sYaioqNwiotx/HjhLASxTUVF5AUD0RplcAJVybKuoqEQSUSQRkbm5uevt27cb3B8lVfPy5Us6fvw4TZ8+nR49ekQCgYBu3bpF6urq5O7uTk+fPmWTeDU1Nd13f/zxBwmFQjp37hxZWFi8lwy/+fn5NHr0aEpNTSUiovbt29OrV69IX1+fjh49ypZLTk6m6OhoUlFRoT/++IMCAgLowIEDdOHCBVq/fj0dOHCApFIpvXr1iv7+++8ak+F9bFy/fp1UVFTo0qVL9OzZM8rMzKSUlBTS09Oj/v37U1BQEHXp0oXU1V/nxNy3bx8dPnyYli1bRuXl5eTq6kotWrSg+fPnE5/PZ+s9ffo0denShXr16kUJCQm0efNmatWqFUmlUrp69SpFRUWRlpYWlZWVUXl5OXE4HCotLSVVVVUqKSlh22sIGRkZdOvWLZo0aRIVFRXRvXv3qi3bqlUrevHiBaWmppJAIKC2bds2uP13zYQJE+jkyZOUkZHBXkcfHx/66quvqEuXLqSioiJX/sGDB3T//n26c+cOXblyhfr168dmpX6bsrIyUlVVJTU1NXbfxYsXKSgoiLKzs0lDQ4O0tbXpxYsXpK6uTlZWVvTll1/S0KFD6ddff6Xg4GByd3enkpISsrCwoAkTJpCDg0Ot5/Ty5UuaNm0a/f7773T27FmysbGhHTt2KJwE8++//6YuXbpQdnY2GRkZUWhoKO3cuZPu379PWVlZ5OTkpFA9/wVUVFTOAHCrtL+RDBApgAcqKipieu3v8SUR7VbEAHkTNzc3ZGZmNrg/SmonLS2NvvrqK7p16xaVlpaSTCYjKysrioqKemd9ePuhVcGrV69o06ZNdOPGDVJRUSGJREKmpqZUUlJCrq6u9Pz5c/r7779p2LBhFBMT0+gGypMnT8jKyoqKiopIRUWFJkyYQH5+fnT9+nUaNWoUrV27ltzd3ens2bPk7u5Opqam9PDhQ5JKpTRv3jwaP348W5dMJqNLly5Rq1atKCgoiLZs2dKoff3QadasGenq6pKtrS1dv36dpFIp7dixo9bjLly4QGFhYfT48WO6fPmynAFCRPTNN9/QvHnziGEYsre3p7y8PHry5AmpqqqSv78/+fn50fbt2+nIkSMkEono+fPnpKOjQ2PHjiVHR0fS1dWlhQsX0v79+0lPT4/atGlDU6ZMoY4dOyp8bsXFxdStWzcSi8W0ffv2Ksvk5+eTvr4+TZo0iSZPnqxw3R8aa9asoVGjRpFAIKCuXbvSnj17aMyYMRQdHU0GBgZN0mZ5eTk9ffqUCgsL6e7du2RjY0Pm5uZyZSZMmEDr1q2jy5cvU15eHt29e5c6dOhQ52fCixcvaNSoUZSZmUmXLl2iv/76ixISEujGjRv07NkzysrKIlNTU7Y8ABozZgy9fPmS5syZQ2ZmZiQQCGjFihX08OFD6tOnDxkbGzfKdfgYqM4AafRIFiL6hojGk3IJ5oOnoKAARIQBAwaAiODh4fG+uyQHwzB49OgRNmzYgMmTJ2Pu3Lno06cPBg0ahBkzZsDKygo6Ojro3bt3owkqZWVlsUsHpqamcl7748aNqzbiYuvWraxYVteuXeHu7g5HR0eEh4fD0NAQycnJEAgEH124Y22MHz8efD4f7du3r5MuSnx8PAQCAQQCAftduLi4oGvXrjAzMwMRoWvXrmz5xYsXszLrKioqkEgk6NmzJw4fPoy5c+eCw+HAwcEBHTt2ZH1P+vTpAy8vL4hEIvj7+0NdXV2hUPXy8nIsWbIEHA4HWlpaWLBgQbVlGYbBN998Aw0NDejo6MjlnGnqqJOGsnnzZowZMwY7duzAJ598An9/f5SVlYFhGGzYsAEuLi7gcDjo06fPe+vj8OHDoaqqCnV1dWhqakIkEqF58+a4efNmnevKy8uDgYEBVFRUwOVyERERgfbt28PExERuKYhhGIwbNw6tW7fGkydPIJPJWMG7/5oAoaJQU/mAEJE2EQne+Pt3IvInonkk74SaVFtdSgPk3RMXF4fExERMmTIF06dPf9/dqRMMw+DEiRMIDg6Guro6nJ2dGzTA3759m80mbGBggO7du0NTU5P9/ODBg+zgl5aWht27d7NKq9euXcOpU6dw7NgxHDp0iA1BrdhcXV1haWn5wQ86TUFxcTHS0tJgYmKCZcuW1Vq+QghsxIgROHnyJM6cOcMaFxXXs8LvZuTIkejUqRMEAgE0NTWRk5Mj5z909+5d1umzAoZhWAfiwsJCtG7dGp07dwYRQSKRYM6cOYiMjJST3M7NzcXChQsRGRkJMzMzqKmpgYiqFI6qiry8PIwbNw46OjpYsGAB2rdvD3V1dbi4uMDNza1S6oAPAQMDA3h4eMDExAQikQjHjx+vVObevXsQCATYsWPHe+jha4qLi5GQkAB7e3tYWVmxInIN5c6dO9DU1KzkH7JkyRK4urqyqso5OTnsfWlkZNTgdj9GmtIAsSai8/9sF4noq3/26xPREXodhnuEiPRqq0tpgLx7tm3bhn79+r3vbjSYDRs2sA+B+uZKKC8vx8KFCyEQCFBUVISCggJoaGiwbz/l5eWwsLCQMywqHniGhoaVHGdzcnKQn5+PK1euYOHChThz5kyDz/PfzN9//w0TExMcPXq0xnITJkwAEcHGxgZSqRSampoQCoVo164dTp06hfz8fIwdO5ZV86yIONLX14dAIGDTmWtqaoLH42HAgAE1hmB/9913bF1qamrw8vKCi4sLVFVVweFwwOVy2Uie7777Drt37wYR1SlMMjs7mw1LjoyMxJ49e5Cfn4+TJ0/C398fqamplY4pLi7G3r1734sa6+rVqyGRSGp1ns7LywOXy30vb/4ymQx79+6Fs7MzTE1NsWjRIuzatQvp6emN8lubMmUKHB0d5fYdPHgQhoaGctFtFerTFaHkSirTZAZIY25KA+Tdc/z48Y9GG+TVq1cIDAyEpqamQpEJffv2hZ+fH3x9feHr6wtLS0twuVz8+OOPAF4/WFq0aAFzc3M2ERr9o47Zvn176OvrsxEbCQkJyoy4ChAYGKiQCqWfnx+bk+XXX3+VCwPdvn07xGIxm3eGiMDhcNgw0oqw3ilTpqB3797Q0dHBhQsXqo2syszMZOuxsbFhM1hLJBIQEWJjY2Fubi5neEZFRSn8fV+4cAFGRkYYOnQoGwnCMAy8vb3Z/C0VkTl5eXnw9vaGiYkJOBwORCIRm2yxqSXTt27dCi8vL5ibm0NTU1OhfDi5ubnQ1dWFqakpWrVqBW9v7ybTr8jIyIC7uzsGDx6MgQMHQiAQwMDAAEOGDGm0HE8rVqyAg4MDWrduDS0tLbmIqWXLlkEikeCXX36RO+b69evQ0NBAcnLyv16xtKlQGiBKqmTt2rUICQl5391oVEaNGoWePXtW+ZlMJkNYWBh4PB7CwsIwceJExMXFIT4+HpMnT2bD9+7du4fk5GRYWFiwyy5qamrw8PCAi4sLpFIpwsLCsH79+iZJcPex4unpWeVU/tuMHDkSdnZ2SE9Px2effYaffvqJXRL59ttv0atXL2zZsgVhYWFyWiMbN27EggULQEQIDQ1FeXk5goODQf9k0S0uLmbbOHbsGGJiYrBixQr0798fQqGQTTYGvM5JU2HkSKVSxMTEYMmSJXBxcYGxsTFGjx6tUGZUT09PjB49mv1/xZISEeHZs2e4evUqa8wcPHgQAoEAe/fuRW5uLhiGwfHjx9GlSxdoa2sjISFB4WtdVzp37gw7Ozvs3LlTYXl74HUiwn379mHx4sWIi4uDWCyGiYkJoqOjG7V/JiYm8PDwwKBBg9CjRw+cPHmy0Y1+BwcH9O3bFwsXLmSXlWQyGSZOnAhbW1tcvXq10jFJSUno168fmjVrhsDAQKxbtw6jR4+u0zX82FEaIEqqJCEhAV9//fX77kajsm7dOtjY2LD/37p1K4yMjGBmZgYjIyOYm5vLDTRvcvfuXbi5uUFXVxdDhgzBgQMHwDAMdHR04OHhgRYtWmDv3r3/OV2P2sjJycHEiRPh6OgIf39/BAcHY9CgQayGxeTJkxEVFVWtUFNOTg7S09OxdOlSHDp0CIcPH2azTk+fPh19+/aFmZkZysvL8eTJE7i4uMDd3R25ubmIjY1l/UKmT5+O/Px8iEQiCIVCHD58GI8fP4aPjw9UVVWhoaEBkUgEXV1dCIVCdO/enTUGqhLme/r0KQ4fPlzJd+fq1av48ssv2bw1ISEhmDJlipyTaQWZmZkwMDBgB6+XL1+iW7du8PX1rVT2yJEjkEgkVV7jkydPQkdHBzY2NjA1NYVYLIauri78/f3lcuRUR4UfS3UOmleuXIGWlla9HDjfpKSkBBs3bgSPx6s0W1BfsrOzoa6ujsDAwEaprzqCgoIQHByMW7duAXgt3T5o0CB4enpWMjbLysqwefNmuLu7Y/369cjPz8eiRYvg7e0NXV1drFmzpkn7+m+iOgOk4QHxSv7VrF+/nnbu3Pm+u9FoyGQySk1NJSsrK2IYho4fP05jxoyhR48e0cGDB4mIqE2bNqSvr1/l8Z9++ikFBARQYmKinF7EgQMH6N69exQQEEAcDuednMu/CalUSs7OzrRmzRp6+PAhvXz5ksrLy+nGjRtUVFTEajmUlZVRmzZtyMzMjEpKSigsLIy4XC6NHz+ePDw8yMzMjDZt2kR37tyhuLg4iomJofXr11NpaSnp6enR8uXLKSoqijIzM2nkyJH0xRdf0KpVq8jLy4vi4uJo9uzZNGnSJBKJRJSfn0++vr7E5XKpXbt2xDAMPX78mJ4/f06vXr0ie3t70tTUpK5du5KdnR21a9eu0nnp6+uTj49Ppf329vaUnJxMAQEB1K1bN7pz5w4ZGBjQt99+S1paWmRmZkbGxsYUFxdHnp6eZG1tTZmZmWRvb088Ho+2bdtGLi4u5ODgQElJSeTr60vq6urE4XBIJpMR0esQ3sGDB5ORkRHNmTOH3N3dKTMzk3799VcyNzcnkUhEMpmMJkyYQG3btqXLly9X6ueQIUPoxIkTZGBgQLdu3SKBQEDx8fFsO6qqqqShoUGampqko6NDMpmMzp8/T1ZWVvW+FzgcDoWEhNDt27epT58+ZG5uThwOhyQSCZmZmdHTp0+poKCAWrVqRXFxcZXCeEtLS2nfvn107tw5Kioqoj/++IP+/PNPCgsLoxkzZtS7X9UBgPbs2UMBAQHsvsOHD5ObmxtlZGRQaGgo/fTTT6SlpSV33KJFi2j16tUkEAjo6dOnxOVyqaSkhE6dOkWWlpb/Kc2felOVVfK+NuUMyLunXbt2Vebp+LeyatUqqKmpwcnJCRwOB7q6uhg5ciQuXLig0PEVabUbIqf8X2TQoEEgIgQHB2P8+PHVzjDl5+dj3759SEhIQFxcHGxtbSEQCNC8efMqy1+6dAlEBHV1dWRlZcHW1hYRERHIz8/Hixcv0KdPH7Rq1QpDhw7FgwcPsH//fhgaGoKIWJn2ik1LSwsAWDVRHx8f6OvrQygUYv78+XLtlpSUYMOGDYiMjETv3r3Ro0cPjB49usqEhgzDYMGCBXB3d8e9e/ewc+dOxMbGsstD7du3R1paGuifRHgVyGQy9O/fn+2fmpoahg0bBj09PUREREAoFKJbt27w8fEBj8er1hl1x44dICK52YbU1FSIRCI2UmfmzJkYOHAgXrx4gaKiIly8eBEPHz7EnTt3kJGRAV9fX3A4nEZV8WQYBjt27MDSpUvx7bffYvTo0ejfvz8iIiIQGxsLT09PaGpqokWLFmjXrh2GDx8Oe3t7cLlcGBsbw8vLC35+foiNjcWpU6carV/A6/tw586dSElJYSXvK8J5L1y4gFu3biEtLa3GJbYePXogJSUFLi4ucHZ2hqGhISwsLHDv3r1G7evHACmXYJRUxRdffIHk5OT33Y1G4+LFi2zeEUU0HW7cuAE9PT25gYqIPjh5+g+dxMRECIVCODs7g4jQpUuXGsszDIOVK1ciMjISBgYG1U5Xnz9/Htra2mzisLy8PIwYMQJSqRSDBw9GVlYWO7hzuVxs2rQJ5eXlCAoKgr+/P4gICQkJGDFiRKVQXnV1dVhYWKBly5YgInTs2BHh4eGIjY2FlZUVfH192ciKn3/+GV999RWMjIzQrl07TJ48GUuXLmXD1yv8hLhcLvz8/BAaGopmzZqxbWlqakJLSwt6enpyxtnChQtBRPD19YWqqirU1NSgo6PDLj1V+DgYGxtDKpXC2tq60gtDXl4e3N3dYWhoCA8PD3h5eUFNTQ3q6upQU1ODpaUlxo8fXymx3Nq1a+Hu7g59fX24urpi+fLlyM/Pr/N33xCys7Px3XffYc6cOXB3d0dSUlKjJcArLy/HqVOnKmXEvXbtGtzc3Nh7wdnZGSNGjEBiYmKdwuS//vprNpHh+fPncenSJaXfRzUoDRAlVdKtW7daI0Y+Vh48eCBndMTFxSl9O+rJvn374OXlBQDQ19fHvn37aiz//fffQ19fHz/88EONInIDBw4EEcHExAQnTpxg92dlZSEpKQk6Ojr47LPPkJubi06dOoGIoKGhgaioKCQmJoLD4UBPTw8uLi5s1NKbG5fLhZmZGaRSKVxdXbFs2TLMmTOnWkfZ0tJSHDp0CBMnTsSIESMwadIkxMbG4vjx42AYBjk5OTA3N4eqqio7AxMQEIDdu3fj8uXLWLlyJRuhA8hrSLRo0QL79u1jtU/ejNq5d+8e0tLS2Iict8nOzkZKSgoCAgIqnWNFNM/atWsxY8YMWFtbQywWg8fjISEhAevXr//oojd27doFa2trCIVChIaGAnj93cXExEBLSwvdunVDWVkZ7t69i8mTJ0NPT08ugZ4ifPHFFxg+fDi+/PJLfP75501xGh8NSgNESZVMmzYNMqLXt8Kb20cMwzDYunUrdu7cCSJq8vDGjx2GYTBgwABMmzYNiYmJIKIanSL//vtvGBgYKCS+9cMPPyAiIgLOzs5VLhXm5eXBz8+PDZP28fEBEWHNmjVQUVGBmpoarl27JicMVzEg9evXD2KxGOvXr8fu3bsbLZppzZo1rCFERFi5ciW2bt2KadOmscslFaGqN27cgK6uLhITExWK6CgqKoKNjQ3Mzc0rJdU7f/483NzcWPXYik0qlWL69OlwcnJi+3Pq1Ck5g+5jQCaT4fr16xg3bhzs7Oywfft2EBFCQkLg4+MDgUAAHo+HiRMnAgB+//13aGtrY9CgQbhz506d2xszZgySkpJw+fJlWFhYNPLZfFwoDRAlVSIjAlOVAfKRGiFFRUVyD+c3pdaV1I/79+9DJBIhLy8PCQkJUFFRqbF8eno67O3tFZptSk9PZ3U+qovOKC4uZr/P8PBwNtR2xYoVEIvFuHv3LhiGAdFrddUKoqKiGkUx823y8/MrzUJoaWmxSzFvL3l+9dVXMDQ0VCiDK/Ba72batGng8Xjo3bs37t69C+D/Z4vGjBmD4cOHIygoCC1atIBUKoWlpSVEIhGcnJwabYnjQ4JhGAQEBEAqlaJ79+549uwZli1bBiKCmZkZtmzZgsePHyMiIgJ2dnYAXi9BERGWL19erza7du2K1NRUJCUlwdPTszFP56NDaYAoqZrqjI+P1ACpyHtDJJ9LREn9KS4uhqmpKSIiIjBhwgRwudxqyzIMg4EDByI4OFjh5a7Lly/LzQ48ffoU3bt3R2BgIHr06AEigoqKCjw8PFgRsQqmT5+O3r17AwBGjx4NImJz0kRFRaFXr15NIiAnEokwc+ZM+Pv7Y9CgQXj8+DGMjIygoqJS5eyQtbU1Ll++jMjISFa239vbu0bn6b/++gv9+vUDEcHc3By///47PD09ERkZiYKCAvj6+oKIMHnyZACvB1w+nw8rK6tGP9/3DcMw8PX1RUBAAI4cOYLy8nIsW7YM+/fvl/t+bWxsoKamhrCwMNbXhogUNv6A174lM2bMgK2tLU6dOgUjIyNcv369KU7ro0FpgCipmv+YAXL37l32oaN0GGs8KpY4WrduDSKqMhLg3r17aNGiBaytreWWvRiGQX5+Pu7du4dbt27hypUrmDdvHubOnYt9+/Zh2rRp8PPzQ1RUFNLS0uSUSwcPHgxVVVWEhIRUGbmUm5sLkUiEy5cvs8dUqJHevn0bLVu2xNKlS2s9vwofCZlMBplMhuzsbBQWFqK4uBi7d+/GokWLMG7cOLRt2xYdOnQAEcHPz0+uDplMhuDgYOjp6WHs2LF48OABZDIZHj16BBMTExgaGsLOzg6zZ8/G9u3bER4eDi6XC5FIVG3Cux9//JE9Lz6fz/q1EL0WXrOyskLXrl0xadIkCIVCVnm1KkGtfzu5ubmIjo6GlpYW3Nzc4OzsDD6fDz6fz94b27ZtY5ei+vbti5KSEnz33Xfo3LlzrfXPnz8fS5Ysgbu7O7y9vZGdnY1du3ahV69eTXxm/36UBoiSqvmPGSDA6/DLZs2ave9ufFScOnUKUqkUzZs3h6+vLxwdHZGRkYFOnTpBIpHA2NgYfD4fs2bNAsMwOHfuHCIiImBvbw8ejwdtbW0YGxvD2NgYhoaGGDVqFL744gsQESwtLZGcnMwOtMDrWZAlS5awkS5ZWVnV9i0uLg6mpqYgIvz5559yn507dw58Ph9isRihoaFYvHgxTE1NYWNjg8WLF+PIkSOYOXMmOBxOpSUVdXV1qKurQyqVwsDAAESEXr16YerUqbCzswOXy63SELt79y5CQ0NhaGgIdXV16OrqwsvLC9u2bUNRUZFc2VevXmHPnj3Q0dGBubk5Fi9ezH524cIFcLlcJCYmYteuXdi7dy98fHzg7+/PJsmbPn06NDQ02CUgFRX2d8dzAAAgAElEQVQViMViaGtr49KlS/X+vj9UGIbBL7/8gs2bNyM+Ph5qamrQ09PDlStX2DL5+fnQ1NRklVrLysqgo6NT49LUmTNnIJFI0KlTJyQnJ7Ozd1988QUSExOb9qQ+ApQGiJKqqcLwYD5yAyQzMxMtW7Z83934aGEYBp06dYKuri5CQkKwceNGHDt2DFevXkVcXBzatGkDQ0NDzJkzB1lZWXKhn29mqgVeP+Ar3jA/++wzhIWFVWrv7WWXqjh+/DiSk5MxZMgQ7Ny5E+np6Wz0zfPnz3Hnzh1MnjwZAQEB2LdvH06dOoVu3bqhVatWMDc3x9ixY9n8NPHx8ZDJZMjLy2OzL/fp04dd6qmgS5cukEqlVWqHVPDq1SuFloAePnyITz/9FM2aNcMff/wBJycncLlcDBo0qMbjwsPDIRQK8dtvv8ktefn4+EAikSA8PLzO0R8fOlevXkXbtm3h5uZWrVHh4eGBXbt2AXh9z1X4ClVw6NAhzJw5E8OGDUNISAhatmyJFStWVKrH19cXq1evbpoT+YiozgBRKqH+1wGIVFT+/7//bGUlJfSx6X0yDEO//PILzZ07lzw8PN53dz5a7ty5QxcuXKClS5fSqlWraPny5ZSdnU03b96kdu3a0ZIlS6h58+bE5/MrHavyxr1IRFRcXMzua926Ne3Zs6fSMYooTnbu3JnMzMwoJiaG1q5dy+5/9uwZ6enpka6uLk2dOpXdn5ubyyrnEhFZWVmRuro6qaio0KxZs0hFRYWEQiH7+dWrVykqKkquza1bt5KVlRWdOnWKnJycquwXl8utte9EREZGRvT8+XN6+vQp9ezZkxwdHen8+fNyar1VwefzSSKRUMeOHVmVYD6fTzNmzKCUlBT66aefaNOmTXTgwAHq2LGjQn350Pn000+pZcuWtGLFClJVVa2yjKamJuXl5dH8+fNp69atZG5uTsbGxlRcXEzTp0+nTZs2Uf/+/cnMzIxycnJo2LBhFBYWRkePHqXnz59Tbm4upaWl0Y0bN+QUVJXUkaqskve1KWdA3j+vXr2Cu7s7NDQ00L17d+zcufOjyPJ6+vRpBAUFwdHREdOmTXsvKc7/C9y6dQsdO3bErFmzKn22fPly2NraKlxXeno6tLW18dtvv+HRo0fQ0NDAli1bGtzHc+fO4cCBA9WqtQKv34rHjRuHdu3a4fvvv4dMJoONjQ2ICEeOHGHLZWZmolevXtDW1pZLdAcAX375Jdq3b98o91peXh44HI7CzpK3bt1CVFQUOBwOq/OzePFiCAQCWFtbs6qdiYmJmDp1KkQiUYP7+KGwceNGWFhY1BjdEhYWBj09PQQFBeHIkSN4+fIlq7pLRHB1dYWmpia0tbUhEAiQnp6OAQMGwNHREZ988glCQ0OxZs0aFBYWvsMz+/dCyiUYJXWhuLgY8+fPh5GREYYNG1ZtKvN/A2vXroWRkRESExMrrbEraRwKCgoQFhYGXV1dTJ48ucr75dKlS+Dz+QrfS3PnzoW5uTmKi4tRXl6OwMBAGBsbY8WKFXj+/HmlAb86SktLG2xEp6SkQF1dHb169UJRUREyMzPh6ekJPp+Pfv364fHjx5WOWbx4MXR1deWm9uvL77//DiJSeLkkNTUVRIThw4ez+06ePAmhUFjpul25cgUcDuej0sM5evQoHB0dFVY2jY6OZqXr397atWsHNTU1hIeHV1JVVaIYSgNESb0oLCxEixYtIBKJYGRkBCKCqamp3Fvgh0p+fj4GDRoECwsLnDx58n1356Omd+/eGDZsWLViXjKZjH3DVFQ1MicnB23atIGVlRVevnwJAJBKpZBIJKy0eYcOHbBw4cIqjZHbt2+jZ8+e4HA4EAgE8Pb2xtmzZ+t1fkQEbW1t6Ovro3///tDW1oZQKMTEiRNrDCfu27cvNDU1ERER0SC10TNnzkBLS0uh0OUHDx6Az+cjPDxcrjzDMOjYsSNsbGxw+/Ztdn9MTAyICBs2bKh3/z40GIZBt27dMHXqVIXKBwYGwt/fHw8fPoRIJIKxsTF8fHywcuVKFBQUID8//6OYCX5fKA0QJfVm2rRpICKcOHGCVZokIujr66NTp05YsWIFDh48iP379yM+Ph4WFhawtbVF27ZtFXIQbApKSkrg6emJ8PBwdvBS0jRkZ2dDJBJV+7aZlpYGZ2dnCAQCmJmZsWGwipCTkwMXFxd0794dbm5uMDIywsWLF8EwDIqLi7F37154enoiMTGx0gDv4eGBr7/+GsXFxXj27BmmTJkCIyMjCAQC9O/fH/PmzcPGjRuRk5MD4PWgdfToUSxbtgyHDh1iB5yLFy+y93zfvn0hEAhgaWkJTU1NcDgcaGtrw9vbu1pJ+UuXLkEsFuOHH35Q+LzfhmEY6Onp1Rhx8eDBA8yePRs9evSAWCyussy8efPA5XKxY8cOdl9QUBBUVFTe22+1qbh37x5MTU2Rnp5ea9kXL17A3Nwc48aNg6urK8rKyhSeYVNSO0oDREm9KSkpgZ2dHfbt2wdnZ2fY29tDIBAgNjYWsbGxsLGxgZGREYyNjdkMnlu3bkVwcDCEQiHWrl37zvucnp6O9u3bK3O7vAOSkpIQGRlZ5Wd//vknrKys0KVLl3r7QmzcuBFcLhdGRkZVLnXcuHEDjo6O0NHRwYABA7BhwwaUlJTAwcEBR48elSvLMAxGjBgBExMTxMbGok+fPhAKhejQoQM6duwIe3t7DB8+nDU4vL29weVyoaamBqlUimfPnkFbWxt+fn64ffs2GIbBxYsXMXToUGhpaWHIkCFV3nNubm5sQr36kpKSAh6PV2XuphkzZkBNTQ1isRh9+/ZFWlpapTIMw6BVq1aIj4+X25+VlQWhUIgePXp8VPogxcXF6N+/P77++muFynfq1Al8Ph87d+5s4p7991AaIEoaxO7du+Ho6Igvv/wSkydPxnfffYdPPvmk1uM2btwIHo/HTvmePn0av/76q0JtPnr0CI8ePQLDMOxDfcWKFeDz+TAyMkLz5s1haGgIHx8fZGRkYP78+Th8+DAAYPPmzQgICKjn2SqpCxs3bqx0Lzx69AgJCQng8/no2LEjG65aH+7cuQMOh1OlY+vbba5atQre3t7Q1tZGhw4d8OLFi0rlRowYAX9/f/b/r169wr59+5CWlsbO4ty8eRPp6ek4ePAgpkyZAoFAgKFDh+LatWtsltu3/QEuXrwIe3t7WFpays2GvHz5Eh4eHiAiWFhYYMyYMTh06FCdr8OWLVvA4/GQkZEht7+oqAh8Pr/WmaWYmBgYGBhUmSU6NzcX3bp1g5aWFiQSCVxdXf8Vy6w1kZWVBVVVVYWvdVFRUZVidkoajtIAUdIgGIZB9+7dYWtrCyLCqlWrYG1tjd27d9d6bHBwMExNTdGvXz9oamqCz+fD3t6+2jfiQ4cOwd7eHrq6utDV1YVAIICpqSmWLVsGFRUVtG3bFvfu3cP58+dx//59zJ8/HzweD4MHD4ZEIsGuXbvw7Nkz6OjofHTTyh8aL168gI+PD8aMGYOHDx8iLi4OOjo64HK5sLGxUdjYrA2xWMxKqCtCdnZ2tbNfbxsgVVFeXg4iwt69e1FaWgpVVVVIpVLo6urCx8cHf/zxR5XHvXr1CjExMeDz+QgMDER0dDQ8PDzA4/Ggrq6OSZMmISYmBhYWFnWe4u/UqRM0NTXh6+uLLl26oHXr1jA3N4empibMzc1rXGrcv38/BAJBtfl0gNeOrpqampg3bx7GjBkDPp+Prl274vLly3Xq55UrV5CUlISUlBSMGDHivTqwjxs3Dv37939v7St5jdIAUdJgCgsLER8fz8o99+3bF3Z2drW+NRQVFWHu3Llwc3PDyZMnUVRUhA4dOlQaBK5fv47IyEhIJBLs378fMpkMpaWlePbsGfbv34/BgwcjODgY27Ztq7atU6dOwdDQEK9evUJkZCRGjx7dKOeuRB6GYfDbb79BKpUiOjoa+fn54PP5cHZ2Zr+7xsTR0bFKIaj6sGrVKjg5OdVarmIZ5siRI+Dz+YiIiMCPP/6o0LkdOnQIoaGh6Nu3Lzw9PaGtrQ0ul4uff/4ZwGvnVEUdJCt48uQJdHV1IRQKERkZiYkTJ2L58uVyKp9VcfnyZejq6mLGjBk1lhs4cCAMDAywceNGlJeX4/79++ysyKBBg1jfmwpkMhkyMjJYIbmysjKMGzcOPB4PzZs3h4WFBZsA8PDhw+98ObS8vBwxMTH46quv3mm7SiqjNECUNAqff/45VFVV8cMPP8Dc3BwTJkyAkZFRnTNK3rp1C3w+n5WMvnjxIsRiMSZPnlzlOr+i5OTkQFtbG2VlZTh37hxsbGyU3uuNzLp16yAQCGBsbMzOgN24cYOVSW8KpFIpu7zWUFJTUxUyQN7MOaOmpoaYmJh6t3nx4kUMGzYMvr6+yM/Px927dyEWizFu3Lg6+V3cuHEDnp6etc7glJWVYfjw4ZBIJODxeNX66LzJy5cvMWHCBIjFYlhaWmLZsmV4+vQpMjIy4OPjAz6fDx6PBysrKzZkVSAQQE1NDdbW1rC2toZUKpWTeK9wPtbS0mJ/6++K4cOHw8rKqs4zOEoanyYzQIjIjIiOEdFlIrpIRKP/2f8NEd0nonP/bD1rq0tpgHz49O3bF0SEmTNnIjAwEH369MGePXtgaGiI8+fP16muffv2QSQSQSaTYfz48Zg0aVKD+1deXg47Ozvs2bMHDMPA3t4eJ06cwIYNG/D5559j6tSpSoOkAVy7dg36+vrIysrC2bNnMWrUKIwfPx4mJiZQU1NDbGxsk0Qd6evrV/J9qC+KGiAAMGTIEPB4PDx8+BA2NjbYtGlTvdstLCxEr1694O3tjcePH+Py5cv46quvYGBggB9++AF3797F6tWr0bNnT/Tr169aXY41a9aAiGrMlBsSEgKJRII9e/bgl19+qVM/ZTIZkpKSYGFhAQ6HAw0NDcTHx+Ovv/7C2bNnMWjQIDYPzg8//IDZs2fD0dFRToyttLQUS5YsgVgsBhFh4cKF0NDQwNOnT+vUl/qSnp4Oa2vrKjMPK3n3NKUBYkxEbf75W0BE14jI6R8DZHxd6lIaIB8+MpkMW7ZsgVQqhZOTE+zt7TF9+nSsWbMGAoGgTnklZDIZ7O3tYWdnBwsLC4wdO7ZR+rh//35WO2Lo0KFYsGABm4iLiBptIPuvcezYMYjFYixZsgTPnj2Dubk5hEIhJBIJbGxswOVyYWtrC6lU2qgOjNeuXYOWllaNA25dqIsBkp2dDT09PeTk5ODPP/+EgYFBgwbRV69e4ZNPPkFUVBRSUlJQWlqKc+fO4ZNPPoFIJIK3tzdatmyJNm3ayCWee7PvQqEQenp6NSbgmzNnDvh8fr37+SZnzpyBra0tdHV1oaGhATU1NQgEAnA4HOjr67OZZ998gfjpp5+go6OD5cuXsyG/FYZcU1NYWAgLC4tGmzFT0nDe2RIMEe0iIj+lAfJxwzAMEhIS4OTkBDMzM+Tn58PLywtBQUF1SnP/9OlTJCUlgYjQvHnzRutfREQEPD094eDggGPHjiE/Px/Hjx9HQECAUheknrRt25b1vxk/fjy4XC7at2/PDkDBwcEAgEmTJkFbWxtDhgxpFHXNK1euQFtbu16RI1VRFwMEAGJjYxEaGgoAbFK6hsyiLV68GObm5iAiuZDakpIShIaGgsvlYuDAgeByuTA2NkaPHj2QmJjIKvoGBgZixYoVSElJwcKFCzFx4kRERUXJZd5lGAa6uroYM2ZMvftZFTk5OVi+fDlUVFRgb28PNTU1xMfH45tvvmFfPhiGgbu7OwYOHAjg9YuGt7c3TE1N30kKhKioKISGhqKkpAQrV66US3ao5P3wTgwQIrIkojtEJPzHAMkmor+IaCUR6VZzTCQRZRJRprm5+Tu5GEoah7S0NDg4OMDd3R2ff/45cnJyEB0dDWdn5zq/Jbq5udVJoKo2KtbAhw0bBplMhlWrVoGIsH379kZr479EVlYWdHR08Pz5c1y4cAFCoRB2dnZVlj1z5gyICDweD7q6unKiV/Xlk08+gZWVFdauXdtgZ8a6GiAFBQUwNzfH9u3bUV5eDqFQWOPsQ22UlpaiWbNm0NDQwMaNG5Gfn4+8vDz4+vrCzMwMRIT+/fujvLwc2dnZ2LFjB7755hsEBQXBzMwMffr0wfDhwxEREYEvv/wSs2bNwpgxY2Bra4uCggJcuHABP//8M7755hsIhcJ697M6Dh48CCLC4sWLMX78eHh7e7OhycXFxbh06RK0tbVZY2PPnj0QiUQN8u1SBIZhkJycDHt7ezx//hy9e/eGurp6rc63SpqeJjdAiIhPRGeI6JN//i8hIjUiUiWimUS0srY6lDMg/y5KSkowc+ZM1lEvISEBDMNg4sSJsLS0VHjKnGEYqKurN2mehQoZ8E8//bTJ2vhYuXnzJiQSCZYtW4Zdu3ZBW1sbzs7OaNmyZZXlr169Ch0dHQBAcnIydHR0EBAQ0KDp95ycHLRs2RKGhobo169fpdBORXN+AHU3QAAgIyMDRIQnT55g0aJFEIlEWLduXZ3qeJPbt2/D2tqaNdRUVVUxYsQIODk5sXoh/fr1w6JFixSeRerbty/8/Pygra0NS0tLWFpawt7evtGjT3799VdwOBzWH+b69esgIojFYgwfPhyGhobo0KEDW37BggXQ0NCAhYVFg/RgauL+/fsICAhAy5YtceXKFSxZsgSenp5o3rx5JTE6Je+eJjVAiEiDiA4QUWw1n1sS0YXa6lEaIP9Ozp49yxoh9+/fB/D6IW9mZqZQIq6CggJoa2s3uB9Pnz7F/Pnz0aFDB9jb28Pf3x/h4eH47bffAAA7duzAqVOnGtzOf42wsDBMmTIFAGBjYwNHR0eoqamhR48eVZZ/+fIl1NXV2YEvNzcXnp6eEAgE+Omnn+q9fPHgwQMEBweDz+dDS0sLvXr1wqlTpzB8+HCoqanB398fp0+frrWe+hggRUVFICJWRyMrKwt6enp48uRJvc4FALZu3coKnC1duhQ3btwAj8fDkSNH8OLFC6SmpqJ///7o3LmzQsb506dPMXLkSIhEIvz000/17pci2NraIjk5GS9fvpRTjq343b0525Gbm4vvv/8eRkZGGDx4sJz+yc2bN3H69GlWrt/DwwOpqakKaaS8fPkSGRkZmDdvHvT19TFp0iR21qVHjx6YNGkSzMzMGpSDR0nj0JROqCpEtIaIFr213/iNv8cS0aba6vq3GyDp6emNMt38b2TTpk1YtGiR3OAyffp0dOvWrdZjr169CjMzswa1XzHt/+bWtm1b9OrVC1KpFCYmJujatSuys7Mb1M5/jSdPnkAqleL06dO4desWOBwOrK2tsXr16hqP09bWlgvHBF7fI3p6evDy8qpREOttCgsLMWnSJPB4PHh4eCA7OxtZWVnw8fGBhoYGNDQ0kJGRgcDAQPD5fHh5edUY+ZGamgoLCwvs3r27Tpu3tzeIiD33IUOGIDk5WeHzeJvS0lJ89913CAkJgYODA9TV1UFE2Lx5M1umvLwcHh4eCqkOV3D8+HEQEa5fv17vvtVGYmIirK2tERkZWel3V91vbPPmzVBVVUVubi4ePHiANm3aQEtLC4aGhrCwsEBYWBgGDx4MDQ0N9qXhbRiGwe+//w4jIyOoqKjA2dkZgwYNqqSFMnv2bHA4nDprrShpGprSAPH858b7682QWyJaS0RZ/+zf/aZBUt32bzdAFi1ahE8//RQjRoxAly5d5BJa/RcpKSmBRCKpddahtLQUUqm01gia8vJy7N+/H3FxcRg8eDAGDhyIpUuXAgACAgJARIiPj0dubi6WLl2KMWPGoFmzZtDR0YG9vT0mTpwIsViMxYsXN0qK9P8Cbm5uICI2SoPL5UJHRwdz586t8TgbG5sqlyiKi4vRs2dP8Hg8fPvtt7W+nW7fvh16enqws7OrUlW1sLAQ6urq7Bt3QUEBhg4dCqFQiDZt2mDfvn2VfoOpqanQ09ODlZVVnTcul8s6S48fPx4zZ86ssf91QSaToX///ggMDJQ7Py8vLyxatEjheq5cuQIiwsaNGwG8Xu5ZuXJlozyL5s+fjzZt2kBVVRWWlpbQ09PD8uXLMXv2bBARrKysql3yuXnzJkxMTKCjo8MaKzwer5Kx0a1bN9bQtbe3R0hICHbv3o2hQ4fCzs4Otra2mDt3bo1LK8XFxfj888+rlOJX8u55Z1EwDdn+7QZIBVu2bIGvry+ICDo6Ov/ZhGjl5eUwMjJSSMFyzpw5CA8Pr7HMsGHD0KpVK0ydOhVr1qzBgAED0LZt2xqPqUgWNnjwYLRt2xb9+vVjjZXPPvusSd8SPwaMjY1BRPDx8UHPnj0RHR2NmJiYWo3KLl26ICEhodrP9+/fD4lEglatWlXpnPj8+XM2mWFV4ahv0rNnT9ja2srtKy4uxqhRo6CrqwsHBwds27aN/R3WZwmmgvv374OIUFZWhmPHjsHMzIzNpttQSktLwefz2QH59u3b8PX1xYABA+osZ37+/HlIpVK4uLhAT08PfD6/2my9isIwDFxdXbF48WI8fPhQLqLlzz//BBFh5cqVNdZRWFgIgUAAHo8HiUSCYcOGsT4jp06dAsMwiIuLg0QiQVJSEru8a2ZmhilTpuD06dP/6Ze6fytKA+Q9ULFObGhoiL///vt9d+ed8+LFCxCRQuvyDx48gLm5eY1LWNbW1qyqYVFREXR1dfG///1Pob6Ulpaia9eubIZTExMTEBE8PDwwcOBADB8+HCNHjkRkZCS2bt36XvNXfEjk5+fDwsICmZmZdTouPDwcQUFBNZYpKytDq1at0KxZMzZ7a3l5OdLS0qCvrw9XV1eFIicqBqmqHBzLysqQkJDATvObmJhALBbX2wB58uQJRCIROwhWCImdPHmyXvUBr2c+fv31VwwZMgRisZjd3759e/Ts2bPe+YxevHiBEydOoLCwEL6+vti/f3+9+3js2DH4+fmhbdu2KCwsrLJMUFAQ3N3dq5ypunv3LubNm8dKyS9ZsgQMw6CsrAzff/89TExM0LlzZ8yePRsuLi7sOa9evRrW1tbQ1dWt1bhR8uGiNEDeExoaGiAiJCUlve+uvBcWLFgAGxsb7Nixo9Y3lwMHDsDOzg63bt2S2//w4UMkJSXB1NSUNQzu3LkDIqrT29Cff/6J+fPnY/v27Vi1ahXS0tLY6eqKbfr06Wwo5Jo1a+p8vh8j7dq1q7Oa5syZM+Hh4VFruZKSEkRHR0NDQwPdu3eHQCCAgYEB5s+fr3BbW7ZsgZWVVY1lZDIZZs+eDXV1dQwdOrTeYbQMw8DS0hJ//fUXu+/nn3+GVCpVyNmxIrT26NGjWLFiBT777DPo6upCT08PPj4+7MxSRdRNY724dOvWDXv37q3XsVOnToWlpSVWrFhRozNseXk5fHx84OnpWekzf39/mJqaYtGiRYiKioKamhr27NkD4LVvEBFh7NixEAqF7O//l19+gZmZGXbt2gV9ff13LuWupPFQGiDvia1bt2LLli3/2WlDhmGwZ88e2NvbIzIyEr/99lu18sgMwyAxMRFisRheXl7o06cPLCwsIBKJEBQUxObMGDJkCFRVVeHs7KxwP86cOQMul4vWrVtj9OjRKCsrw7Jlyyo50A0cOBCdO3dm/79t2zb27x9//LFRrsm/jaFDh9b57XP16tVwcHBQqKxMJkN4eDj09PRq9S2pivj4eHTu3FmhsrXNsinCxIkT4eHhgT///JPd165dO6xfv77aYxiGwezZsyEUCsHn8yGVSuHo6AgVFRW5pary8nLs2rULYrEYEyZMaDTRvNGjR9f52jIMg1mzZsHe3l7hNPUFBQWwsbGRy5K9fPlyEJFcGDafz8fOnTuxb98+jBw5EnZ2duDz+XIva8ePH4eRkRFatGgBFxeXOi1lFxUVwcPDAy4uLnB3d//PPn8/FJQGiJL3yqNHjxAfHw9nZ2eYmZmxuVqqQiaT4dtvv8W6detw7do1lJeXw8HBoZKxUJe38mvXrsHQ0JA99vLly8jOzmYzlgYFBYGI0KJFC8ybNw/p6enYtGkTzp07Bz09PfB4vCYPbfxQCQ8PR0pKSp2OOXr0KKRSaZ2OsbOzk4sAUZQePXoonCjOysqqXm28ybx586CjowNzc3P2Hj558iQMDAywa9cujBw5ElOnTsWUKVOwceNGHDx4ECkpKRCJREhPT5era/r06WjWrBmA1wN+y5YtIRKJGn25YcuWLejTp4/C5Z89e4bBgwejdevWdXbYXr16tZwj7YkTJ6CpqSnnb8XlcsHhcCASiVhH8QEDBrC/z8zMTDAMg4MHD2L37t0KheW+yY4dO9CpUyds3LgRRNSkGkNKakdpgCj5YPj555/h5OSE5s2bY/LkyThz5kyN5WUyGYgI5ubm2L9/P3R1dUFEdY7vZximRt2GmzdvKpNXvUWF8uecOXOwcOHCWr+rCv7+++86qXDKZDIYGxvLSZMrQoVj5PTp0xUqb2tr2yABsdmzZ0NfXx/Tpk2Ds7Mzfv75Z/az1NRUdgBt37493N3dYWtrC21tbaioqFR5btevX4eamhpcXV3B4XDg5OTUJE7rt2/fhkQiUWgmoLS0FE5OTvjss8+q9feoiV27dsHX1xfAaz84b29v9OrVC0ZGRuwSanJystyMyNy5c+Hi4sImuzQ3N8ft27fr3HYFU6dOZXNLOTo64sSJE/WuS0nDURogSj4oGIbBsWPHEB8fDxMTE3h5eWHu3Ln48ccf0aZNG5iamiI6OhpPnz5FfHw8G7qXmJgIIoKNjQ3i4+ORnJyM0NBQhIWFYf78+SgqKnrfp/ZRkZ+fDyKCgYEBWrZsCR6PBz8/v0rXubi4GAUFBays+OPHj0FECkdexMfHw8rKqk4DXl5eHnr16gV9fX2F2snKyoKZmRlSU1MVbuNtvLy8EB8fD+D1IPrJJ5+wg4JMl+AAACAASURBVDrDMBCLxQgLC5M7RiaTVbuU0rFjR3h7e2Pp0qV4/vx5k4lmMQwDIyOjSnoZb/L8+XOMGjUKxsbG8PX1rffyT2xsLLp06YK4uDjo6+ujV69eGDJkCExMTLBgwYIqjzlz5gx4PB4OHToEW1tbEBH09PTq5dxbWlrKhuTPnTsXRkZGdZ5BUdK4KA0QJR8sxcXF2Lt3LyIiIjBo0CAcPHgQV69eRXR0NOzs7KCuro4NGzYgIyMDN2/eZN8yY2NjERkZiQULFmDKlCnw8PAAEdUpI6+S6ikvL8f48ePRt29fdl9eXh5sbW3Rt29ftGzZEvb29rCxsQERsaJgHA6HzZT6djTRpk2b4O3tjZCQEHTu3BkikQhaWlrgcrlYvnx5nfo3bdo0mJmZKSTvfeHCBWhpaUEsFjfo/jA0NMTx48exaNEi3L17lw3tfvLkCRiGASmQbfn69ev47rvv0KFDB5iamr6z5IizZs2qMZFeUlISevTo0eCsw7dv38bXX3+NL774Anfv3mVFAtXU1Gqc1Rg/fjwcHBxQUlICPT09TJgwARYWFnWOSKv4Hq5fvw6xWMz6jil5fygNECX/Sioy5R46dAjFxcWIjo4Gh8PB/v37IZPJUF5ejpMnT7JGiZqaGpYtW/a+u/1RcODAAXY9/k1yc3Ohq6sLHo+H2bNnY+7cubXOQOTl5aFFixbQ09NDeHg4iAimpqY4efIkHj16VK9lh+bNmyMxMVGhsoGBgejUqVOd23gbLpfLJl4jImhqarLOk2fOnIGbm1uVujfl5eW4desWYmJiYGhoiBEjRiAtLe2dhnuXlZXB2dkZO3furPLzyZMn4+uvv270dgsKCtjf5tv5gK5cuYKEhAT0798fRkZG0NDQQKtWrSAUCnHy5Em0aNGiVoOuKoYOHcp+RzExMVi8eLFyefU9ojRAlPxrWbduHTstq6amxj5YmjVrBlVVVRARevTogZKSEhgbG+Ps2bPvu8sfDZ9//jl4PJ6c8+/evXsREhKCgICAWn0Krl+/jpCQEIhEIvj5+bGzFbNmzYKxsbHc1Linpye0tbWhpaUFFxcXnD59GikpKSgrK0NBQQGWLl2KmJgY7Nq1C+Hh4Wy6ekVk3TU1NREdHd2ga5GTk8NmV929ezfu37+PS5cuYcWKFdDW1gYRYebMmQgICADwesBPT0/HkiVL4OHhwUZzKZpcrin49ttvERUVVeVnGzZsQHBwcJO027FjRwgEAri5uWHlypXYunUrXrx4AYlE8n/snXdUVFfXxp8BKUPvQwcVbKAiYq+oKBr01YARjRqNr4rRF2s0lsQSK5YoxlhjF3s0JjbEgsauUazBiF1QQbCCAjPP94eZ+zmhI0Xl/NaatZh79zlnn5nL3H3P2YW1a9dm37592axZMxoZGdHb25uWlpbcu3cvBw4cyJkzZxZ4vDNnzmRxWrewsCi2YniC3BEGiOCD5+nTp5w5cyYDAgJoZGREbW1t6unpSU82GRkZ1NbWLvRT5f3798ts1tqcGDJkiMbqkrro25IlS6ivry/lcng7K+bb1KtXj1WqVGFYWJiGsZKZmUkHBwc6Ojpy8eLFPHXqFHV1dRkbG8u4uDj27NmT2tradHBwoImJCc3Nzeni4sIWLVrQwsKCbm5uNDU1pb6+Pjt16pTrHBISEgjgnQsR9u7dO8dw31OnTlFfX58AaG1tzVmzZrFWrVr09PRknz59uGbNmvfi2jpy5Ai9vb2zPbd58+YcCwy+K9u2bSMAWlpaUiaTUU9PjyNGjKC5uXm28u7u7ly/fj3DwsI4bNiwAo8XHR0tXbdv16sZN26clMxQUHIIA0TwUZGRkcEmTZrQw8NDMkBu3LhBPT29HG+GOfH69WvJubVv3778z3/+w/PnzxeH2h8cx44dIwDWr19fWtaWyWTStoNMJqO7uzu1tbWlyAc1ixcvpqGhYY5Jv86dO8eOHTvS2NiYJiYm7NGjRxYZlUrFkydPMioqSjJglEolVSoV9+zZI91YcuPBgwe0sLBg165d8z3vyMhI6unpSQbt3LlzaWhomGM0xevXr6XoLBMTE4aEhHDBggVMT0/PVp+xY8fmmWK+OHj16hVdXV2zraPSsWPHYtu+PHbsGJ2cnKivr08nJycOHjyY/v7+1NbW1sj0eu7cOTZs2JD6+vqMiYnhqFGjOHXq1EKN2bt3b5qbm3Pnzp2Mi4uTImzKlSsnasSUMMIAEXx0qFQqDhgwgHZ2dpw0aRIDAwNZq1atfLV98eIFp06dytatW2ts5agrksrlcgYFBeUZlXHr1i0mJSUVxXTeW/r3708TExM6OjpST09PqgB79+5dbt68mWPHjuXJkycJQCPE1c7OTrrJnj9/nps3b+batWu5bNkyLlmyhN9++y319PTYpk0bWlhY5NufQ82qVavyZYCQpK+vL/X09PLd99vGjVKppLm5eY6+EyS5fft2AqCWlhbNzMwkozg9PZ2xsbEMCwujn58fAdDc3Jw2NjZF4pNSGH755Re6ubllMY68vb0LnHI/v6ijqdTRKWq6d+8u+Z2cPn2aANikSRPGxcUxKiqKdnZ2BU4hP23aNK5YsYIqlYoTJkyQxm3btq30d1mtWl5aCANE8FGSmZkp/agDoKGhIe/fv59nu3bt2rFDhw4MCwtj8+bNaWVlJf34Xb58mUlJSfTz86OxsTGrV69OT09Pbtq0iZ9//nmWveWClEr/UImMjKSWlpZ0M1DXL1H7X6gjD2xtbdmlSxeamZlJjpnkmyV1e3t7Vq5cmc7OzjQwMKChoaFU5bVr166S70R+SElJoVwu59y5cymTyXJ1VAwICKCtra2UZfPGjRts0aIFR40apSF3+/Zt/u9//+PTp09Zs2ZNNmnShCYmJjQ1NaWnp2euWygpKSn08vIiAHp4eLBevXr09vamjo4OnZycGBISwnXr1hGAVP+ke/fu+Z5vUdOwYUONbKVXr17N1uG4qLhy5YpkoL2di0edn6RSpUoEQBsbG86dO5effvopXVxcuHfv3gKNo95uU5cBWL58ufRA8fb/7LtG+ggKhjBABB8tvr6+0jbBoEGDCIC3bt0i+cZxcOTIkRw5cqRUV+PevXsEIIU/VqxYka1btyYAtm7dWuo3OTmZx48f57lz57ht2za2bt2aQUFBjI2N5ZYtWyiTyQiA//vf/0p+0qXAhg0baGlpyR07dtDGxkZyGFXf/Nu2bUu5XM7GjRuzevXqrFevHuVyuZTDRZ0YiqS0HF61alUqlUra29sXKAIjNDRU2gYCwN69e2crN3fuXBoZGfHu3buMiIigQqGgt7c3mzZtSkNDQ3p4eEgJsIyNjWlmZkYjIyM6ODjw+fPnjIyMpK6ubr5rslSsWJE9evTg5s2bGR0drbEdmJGRQZlMRvLNNasuwFcaLFy4UGNLqnLlyvT39+cXX3xRLGHB6oKB1atXz+Kj9fjxY86ZM4cAePHiRdarV48DBgwocE6fxMRE6XpQ1+p58uQJGzZsKB0fMWIEPTw8st2CEhQfwgARfLS8fv2aM2fOZPv27TWecj755BONqBkAHDRoEB0cHPjVV19J7dWGB4AsT8W5kZGRwXXr1tHFxYWXL18ujqm9d0RFRdHExITNmzdneno6u3fvTh8fH16/fp07duygqamphvyCBQu4fft2tmnTRsNH5KuvvmLjxo2pra3Nnj17slq1avm+8b1+/ZrW1tacPXs2zc3N6evrq3E+Ojqa5cqVo4mJCS0tLaX05xEREdTV1aWWlhZjY2N5+vRpjhkzhqNGjaKfnx+/++47pqen8+TJk5Jfgrqic34dSG/fvi1V3p08ebJG3osffviBVlZWTExMpImJSalGZDx8+JCmpqa8d+8eBw4cSABs3rw5K1euzG7duhX5eAsWLGDt2rWpUCj4+eefZ6uPnp4eHR0dOXr06ALXbnn69Kn0P/7vbL0LFy4kAK5atYr9+/cnAOrp6RUqy6ugcAgDRPDRo15+VVcgrl+/PgGwa9euVCgUUt6GLVu2aLRTR2Dcu3evwD98GRkZNDAwoIGBAfv06VNgB9gPkerVq0vRL+oaOqampuzcuTP19fWzbTN//nxWq1ZNer9u3Tra29tTJpPRw8ODP/30U77Hb9CgAevXr8/Xr1/z7t27NDMz46pVq3jkyBEuXbqUZmZmDAgI4LVr1zRqgKSmptLT01PKK5MX6vwVBgYGBYpgUSqVXLBgAatXr059fX3WrVuXISEhNDAw4MGDBzllypQcV2xKkrCwMOro6NDFxYWPHz+mkZERb9++TScnJ548ebJIx/L396c6SaC5uTkfPnyYRWbWrFmFrtirLiz570Rnaj8xXV1dAmDjxo15+fJl1qxZs1D5RQSFQxgggjLBy5cvuWvXLk6dOlV6Itq4caNU1dbKyirbdlpaWvz++++5atWqAmfKLFeuHOfPn88OHTqwT58+RTGN95q1a9eyfPnyXL16NQ0MDKRy6gCyjWQhyZo1a/Lrr7+W3i9evJhVq1Yl8KYA4OLFi3MdU72VduLECcrlcsbFxUnnKlSoIN1gXF1dOXv27FwNyWHDhtHY2DjPcMxbt27RwsKC5ubm+fIryo6UlBR26NCBADh58mS+fPmSCoUix8igkmbz5s1SkThra2smJCRwxIgRBXYIzosTJ06wWbNmtLOzY506dThv3rwirVAbFxeX7ZaN2plY/VDy22+/cdu2bbS0tMy1erGgaBEGiKDMcezYMW7dulUK2+zUqVOWOh1qZsyYQVdXV1apUoVGRkacMGECDx8+zN9//z3XrYFmzZoReFOZNzY2lsCbFPHqJ+bswjA/BtavX08zMzNaW1szIyND2uMfOXJkFtmUlBTq6upqfI6//fYbFQoFy5UrJ61YREREZMmUSb65iVhYWNDZ2ZkA2LNnT+nc8uXLaWpqyr///rtA+V969OhBMzMzxsfH5yqnUqkYFBREGxubQmXSPH/+PI2NjaVieTNmzMgzb0lp0ahRI65evZq9e/fm2LFji2WMXr16UV9fXwrfLgqn13379hEAvb29s1S9PXnyJFu1asXTp0+zRo0a3LFjh2QsHz58+J3HFuQPYYAIyjx79+5lzZo185T79ddfaWNjI0VOzJkzJ0dZPT09zpgxQzI4Hj9+TEdHR1pZWVEul1NLS4uOjo4MDAws8mXt0ubly5ds3749vb29efnyZY4dO5ZyuVzanlHz6NEj6uvr88qVKyTfOAGPHz9e2t7w8vKir68v27dvTxcXF965c0ejvbOzM7/66itmZmZmCXl2c3PLscBZbqSnp7NWrVr09vbO08FUqVSySZMmbNu2bYG2YmJjY2lmZiY538bHx+e7cF5psHv3bsrlcrZt2/adKtGSb/KN/PLLLzxw4ABv3LghFdlTb2upX7q6uoyJiSn0OPv376dCoeCePXtYp04d+vr6cseOHdmurixatIiWlpbU0dFhp06dinQFRpA7wgARlHl+++03NmzYMN/yr1+/po6OTq6pvkeNGkUAkoPlqlWraGRkxFWrVvH8+fO8desW5XI5+/TpQ3t7e06YMOGj+uFTqVRcsmQJra2tuWrVKtaoUYNffPEFhwwZQi8vL8kRVL3VMmDAAFpaWjIkJIR//PFHls9i5MiR0irVq1evuHz5chobG2d5slVTvnz5LEvpSqWS48ePZ1BQkLSdlpaWxl9++YXDhw9n1apVpaylAFizZk2+evWKSUlJGiGiauLj41m+fHnK5XKuX78+14q1r1694vDhw9mkSROamppKvh5KpZLt2rUr8q2Noqaork112K2Pjw8dHBzo6+srpd23trZmeHg4jx8/zlWrVuUZ4pwdSqWSX3/9tUZ01YsXL6Rw/Jx8sW7cuMGFCxd+VP+DHwLCABGUeaKjo2lhYZHvH5+EhATq6OhIN7+kpCTWrl2bEydO5Pz589m+fXvK5XJppeTcuXP09vZmly5dpDFiYmJoYGDAtLQ0xsfHs1y5csVWb6M0OX78OJs2bSrlehg9ejRPnTrFx48f8969e1y5ciXHjBnDadOmZVnheJvk5GS6u7uzRo0aBEA3Nzfq6upq+Hy8Tbt27VinTh2SbxyC79+/z/DwcFpZWbFTp040MjJihQoVWLt2bRoaGtLHx4fffvstly5dyqdPn/LixYt0cnKSQqodHR0ZFxfHpKQk3r59m5GRkXRwcGCDBg341VdfUVdXl7a2tlIYZ3x8PAcOHMg+ffrwyy+/pEKhoIuLCydMmMCIiAhJz0mTJrFhw4Yf7Zbcv1GpVOzRowfbtGnDFy9esHPnzgwICODLly85fvx4aatOpVLR1NSUiYmJBep/6NChGisptra2Ur0odaI8wfuDMEAEZR51PYqC5BewsLCQimGpQ/0MDQ3p5OTEPn368OLFi1QqldTT0+PZs2cZGBhIJycn3rx5U+rD2tqaGzZs4LVr12hgYEAtLS3++eefRT2994JHjx7lukKQH1JSUnjy5Ek+e/aMJDl79mxaW1tnuzqRlpZGY2NjhoeH08nJSQq7/vLLL6W+1qxZw27duuVYCyYjI4OXLl3i69evpZwyurq6lMvlVCgU9PT0pKenpyQ/fvx4GhgYUC6X08TEhDVr1qSRkRH19PS4bNmyLE/zERERdHZ2LrQj64dKRkYGP//8c9asWZPx8fHs0aMHa9euzd27d9PKyopXr16lUqmkrq5uvkKSVSoVb968yR9++IFOTk4cMmQI/f39WaFCBa5du5YAeOTIkRKYmaCgCANEUKZZvnw5ra2tuXXr1ny3ef36NYE3FU7VtG7dmk5OToyKipKOXblyhbq6uszIyGBaWhqtrKwYGhrKMWPGSIWwZs2axeDgYPr6+vLrr78ulrLnHzP16tVj165dOWbMGH7zzTccN24cx40bx6VLl3L9+vXU0tJiw4YN+fTpU+rp6XHFihWFGufly5cEwAcPHkhOrTdu3KCBgYGGE+rr16956tQprl27lsnJydTX12dkZGSW/tTXnToxVllDHQYbHBzM9PR0Tp48mVWrVuWgQYPYqlUrPnz4kLVr184zCookO3XqRIVCwXbt2vHy5cu8d+8eDQwMuHLlSj548IAKhUI4lr6nlJoBAsAfQCyA6wC+yU1WGCCC4uDx48cEwPXr1+dLfteuXRwwYICUVdXFxUU6FxYWlm3mTSsrK65evZq///47XVxcpCX9Ro0a0dDQkDKZjJaWlrx+/TpPnjxJGxsbRkdHF+U0P1rS09MJgHXq1KFcLpf2+dWpu9X+HEeOHOGePXtoY2NT6LEiIyMJgL/++qvG8SpVqnDatGnZtrl37x4NDQ01jiUnJ/OLL76gu7u75HxbVnn27BnbtGkjbUGNGjWKRkZGNDU1pY2NDWfNmkVra+ts/XzOnz9PAAwMDKSxsTEfPXrEAwcOMDk5mRMmTNBYmRo7dqxGhFR2W60nTpyQ8n9cv36dADS2ygTFQ6kYIAC0AcQBqABAF0AMgGo5yQsDRFDUnD17ln5+ftTS0qK7u3u+cnyo04S3aNGCtWrVor6+PqdMmUIvLy/K5XKNfBZqwsPDpSX54OBgLliwgGvWrMlxjL59+3Lw4MHvNLeywtmzZ6UwS319fS5evJiHDh2iqakptbW1GR8fz82bNzMzM5PTpk1jvXr1CjWOuqJtWFiYxs3r/PnzlMvlUr6Mf3P//n0NAyQ6OpoODg4cNGhQoUJ3P0ZUKhWbNm2qcbM/ePAgTUxMaG1tTQAaVXHVNG3aVMrxUqtWLdrY2NDGxoblypWjkZERN2zYIMlu2rSJAPj999/zzJkztLe3p5eXF//73/9y+PDh7NOnDwGwc+fOJN9kplXXLMpue09QdJSWAdIAwN633o8GMDoneWGACIqawMBAfvrpp3z06BF79eolPUE3b948x2RQNjY2BCDt2S9YsICVK1dmhw4dJE/+d0F9Q/35559569Yt4ZGfBwcOHKCtrS1/+OEHhoeHS9/B+vXr6ejoqCE7YsQINmvWrFDjrF27lo6OjhrfR3p6Op2dnRkSEpJju/j4eBoYGJB8Uy/HxsamwBVcywIRERFs0qSJRr6WVatW0cbGJscMqC4uLjxy5AibNm3Kzp07S/lU0tLSNHxt0tPT6eDgwNDQUMkQye5laGjI5ORkaWz18eyMH0HRUVoGSBCAZW+97wHgx3/J9ANwBsAZZ2fnYv8gBGWHO3fu0MzMTCPt87Vr1/j7779LT1HZ7T3Xr18/S32RouTx48fs3Lkz69SpQwMDA3bt2pWTJ0/m+fPnhTGSDV9++SUnTZqU5fi+fftoaGgo3TyUSiVr1aqVbTK0/BAcHMyAgAA+ePCA9+7d482bN3nw4EECyLWd2gCJjIykjY1NmfX3yItXr17R39+fnTt31rjO/fz8JEfvf9OkSRONqr05kZiYKNUhWr9+vZS/Z8+ePZw+fTqrVavGFStWaDig37p1iwAYEBBA8k3dny1btnDw4MGsWLEiu3Xrlq+xBXlTWgZI52wMkPk5yYsVEEFREhwczMDAwCzHVSoV27Zty/r161Mul3P+/Pka5y9evJilqFpxERQURD8/Pw4ePJguLi709PTk3LlzhSHyFhUqVMjRX8bZ2ZlbtmxhRkYG/f39qVAosq0zkh+cnZ2pr69PIyMjGhoa0sTEhKampjQxMWFQUFCOybnS0tIkvxRRZTV3Xr16RU9PTw0fmylTphBAtlFK69evZ5UqVXLc/iLfGPQ+Pj7S1kpQUBA/+eQTmpqaauR7+XeROpL85ptvuHz5cpJvygMAoLOzM0+ePMnFixdTLpdrbKPFxsYyOjqaT548KfRnUBYRWzCCMke3bt1Yp04dDb8PlUrFIUOG0NzcnAkJCYyKiqKhoSEXLlzIQYMGceLEiYyIiHgnR8aC8Pz5cylsValUMjo6mrVq1eKgQYO4devWbFOTlzV+/PFHaelepVJxx44dNDAw4MaNGymXy3nx4kUuWrSICoWi0KXk1SHWFSpUIP5V/TYhIYHNmzenXC7nyJEjs4SMHj16lNbW1h9lfpfi4Pfff2flypU1nE5nz57Nli1b8o8//tCQVUfR5OYvtXfvXjZo0IAqlYoZGRm0s7NjXFwcjx8/TnNzc7Zp00YK6c4NpVLJxYsXs2bNmqxTp46UV+TkyZNMSkpiUFAQFQoFGzRoQDMzM3711VeMjo7OV99vk5SUVOYq8ZaWAVIOwA0A5d9yQvXISV4YIIKiRL0Uq/YJmDp1Kq2trWljY6PxRDV48GBWqVKF9evXp7u7OwGwUqVKpaT1/2dX9ff3p5mZGWvUqEE/Pz/6+vpy8eLFBap58jGQkZHBli1bcvDgwVy6dCkB0NzcnK6urvzkk09Ivil2p/YPKAwzZswg/qmWbGZmlq3MqVOnWKVKFZqZmUkVlZ88eSIiKQqISqVix44dOXDgQGmlLy0tjSNGjKBCociSy2PTpk10c3NjaGgoN2zYwB07dvDIkSNS2xUrVjA4OJjkGx+cevXqMSoqigAYHBzMatWqafhuPX/+nD///DPXrl3L2bNn097engqFgr179+bNmzc1kpwZGRmxU6dObNGiBUNCQiTDISEhgWPHjqWZmRmNjY35+eef8+DBg/nKgaPue8mSJUXyeX4IlGYYbjsA1/6Jhhmbm6wwQARFyZo1a6irq8u9e/dy+/btNDEx4ZYtW3JN+6zOwOnv71+CmuZMRkYGT5w4wb179/K3335js2bN6OnpmWcl14+Nx48f08vLi15eXjQ2NtY4l5ycTHNzc27cuLHQ/ScnJxMA+/TpQ3Nz81xlx4wZQ4VCwfv373Pq1Kns2LFjocctqyQnJ7NGjRpZ6vh07949y4355cuXXL16NcPCwujo6MjmzZuzfPnyNDExkbZv1D4kcXFxxD9VkQFw+vTp0iqGmqtXr0pGQK1atTScVB0dHXnr1i1aW1vT3d2dAQEB7N69O7t06ZKt4b9//37a2tpy7ty59PLyorW1NXv37s3Y2Ngc537jxg1Jv379+r3Lx/jBIBKRCcoUt2/fln5U6tWrR09PT6lmRHZcv36dX375pdQmO6fH9wGVSsVly5ZJkRZlyVfk8ePHVCgUrFWrFp2cnBgYGMjOnTvT1dWV9erVK3A9kX+jpaVFmUymkWQuOzIyMtiiRQvK5XICKJKKrmWRW7duUaFQcMyYMdIKhZeXl5SnIy82bNggXQNvVzVesGABAbBBgwYaxsXbafDPnz+fJQruwoUL/O2330i+WXUJCAjgyJEjpbT+CxYsyBJWfeDAATo4OEjvb968ySlTptDKyirbyB61EaMO/wWQryywHzrCABGUKS5fvkyFQsFff/2V9erVo4eHR445GbZt20YDAwP6+vpy+/btTElJKWFtC05kZCTd3NxoaWnJFi1afBA6FwWxsbHSD3eVKlVoZWXFNm3aFEnf1apVk1K454cOHTqwf//+RTJ2WSU+Pp6BgYH09vbm48eP6ebmluvqQX4YNGgQFQoFu3fvznHjxknXy61btwrc17lz5/jbb79xw4YN7NSpEy0tLTl16lTp/KFDhzQMEDV//PEHLSwspJXKVatWcfny5QRAe3t7SacJEyZI2Xc/tmrZbyMMEEGZ4tWrVwTAffv25Snr5eXFIUOGlIBWRYtKpWJCQgIDAgIkT/6yQJUqVWhkZERdXV2WK1eOOjo61NHRYf369d+p38aNG/Obb77Jt7yDg0OZ2worDlQqFUeOHEkdHR1qa2vTxsaGXl5enD9/vrRq8fjx43zn6ti/fz/9/PykJGVhYWGcNGlSoVYLAVChUEjv4+Li6OzsLKV8j46Opr29fbZtv//+e9ra2rJ+/fpSjaK3fUu2bdsmzV99PKeiix86wgARlCmUSiVHjRpFGxubXEMjd+7cSW1t7Q+6iNWyZcvYtWvX0lajxFA7ot6/f58vX77kixcvGBcXR319fSlUz3zdwwAAIABJREFU9vr162zXrh0rVqzInTt35muZe8aMGbSyssp30Th/f//3xlfoY0BdLHLChAk8cOAAK1asSFdXV/r6+koVp729vblo0aIS0wlAlq3bmTNn8quvviJJHj58mHZ2djm2Hz16NAFw+fLlXL16Nf/73//yp59+yhKttXXrVgKQnODv3r2bbWr6DxVhgAjKJPv27aNCocgxg6mbm1uhM2e+L5w+fZoeHh6lrUaJ0qBBA+7evVvjWI8ePVi1alWGhobS1NSU9erVk7Jf5sdQUKlU/OSTT/if//wnXzpER0ezYsWKhdJfkJUnT55w3bp1tLGxYeXKldmtWze6uLiwUaNGnDVrFtPS0hgdHU1ra2t26tSJw4cP1/DjSEtL0/DzUKNUKgsdnp2ZmakR2fLs2TN6eXkxMDCQqamp/OOPPzQMkNOnT3PAgAEcOHAgDx8+zCVLlrBy5cr5qgd08uRJHj16lADYsWNH4p+aU9nN6UNDGCCCMkvXrl1zTKU9cOBAjYJWHyKLFy9mjx49SluNEmXq1KnSU6iap0+fsmnTpvT19WXXrl2lZFFLly7N01AYMmQIFQoF5XI5jY2NOWLEiDxzsKxfvz7fxoog/2RmZjImJoZLly5lREQER4wYwYoVK9LY2JgeHh60srIiAJqamhIA582bx7Vr10qOnf7+/mzevLlGXhd1WP3169c5ZMgQ1qxZkwDy7fCqJjw8nLq6ulIdIk9PT8kAOXz4sOQjMmXKFDo4OHDLli1ctGgRnZycClQXKDMzU3KKr1+/Pq2srAqcb+R9QhgggjJLSkoKLSwseOPGjSzn1JVyO3ToQPKN81hOP0rvGmVRHGRkZLBRo0ZcuXJlaatSonTu3FnDGTA3lixZwmrVquUqY2hoyHXr1vHevXvcuHEj69evT319fcrl8hzzi9y8eZMWFhZMSkoqsP6CgvP48WNeuHCBJ0+e5I4dO/jll19y+vTpTEhIkHwoTE1N2aRJE7q4uEjHFAoF9+7dy5EjR1JLS0s63rx58wJHoCQmJvLgwYM8d+4c09LS2KFDBxoaGrJ+/fps2LChxkrboUOHaGtry5iYGH7xxRcEUOBQ8aVLl7Jt27YEwG7duhWo7fuEMEAEZZpvvvkmyxOzmlGjRtHAwIDu7u7U0dFh48aNpXNXrlxh9erVaWRkRG1t7UIv5RYHmZmZ7N69O/39/fOVAOljYtq0aezVq1e+ZGNiYqivr8/ExMQcZaytrbOke9+5c6d0s1InHvs3PXr04KefflqmwqHfR1JTU/n69WspMdy/Q2+3bNkiHRs2bFiRFZ9TKpU8ffo0Dx06xI0bN2rUmiHJjRs30tramuPGjaORkREBcNy4cflOJjht2jQCoJWVFS0tLT/Y/3NhgAjKNA8ePKCFhUWO9Tz++usvrly5kkFBQTQxMWHt2rVZt25dyuVyhoSE8OrVq9TW1n5vyqsrlUp269aNrVq1eq+MopIiKSmJCoWCMTEx+ZIHwLp169Ld3Z2fffZZluvA0NCQd+7cydLOysqKHh4ebNKkicbxv/76i+Hh4VQoFATAP//8s/CTERQpr1694rp16zhixAhp1fLIkSP87LPPNGrQ5ERCQgJPnz5dIKNywYIF7Nu3b7bnzp49y9GjRzMwMFAyggpiAD18+JAbNmyQVm0+RIQBIijzjBkzhr17985VJjo6mv/5z38ol8vp6+vLy5cvk3zjoFiuXLkcy4aXNGvWrGHt2rWzPHGVJTp06MCtW7fmS3bo0KEcPnw47ezsCIC6urps3bo1GzVqxPDwcALIEnWQkpJCHR0dhoWF0cTEhJaWlnR3d6eDgwP19PTo7u7OGTNmsFatWjx69Gi+9EhNTRWrJe856mukTp063L17N//++2/GxcVx9+7d2X53SqVS8j/JK4LqxYsXOTrE58W+ffs+2FwhwgARlHmePHlCGxsbnjt3Lk/Zr7/+Oktkybx582hoaMgmTZpwxowZxaVmnty7d4/29vZZCneVJe7fv0+FQsG//vorX/Kpqal8+fIlW7VqxZ49e/LcuXMMDg5m1apVNXI0LFiwQGqTlpbGcuXKsVatWuzWrRvPnj3LxYsXc8eOHRpPsC1btuSePXvy1EGdmyY0NLTgExYUOzExMaxduzYdHBwIgHPnzpUKz6mrHb99fajZv38/q1Spwk6dOnHcuHGloPn7T04GiBYEgjKCqakppk+fjj59+iAzMzNXWScnJ6Snp2scCw0NRWRkJJo1a4ZZs2bB2dkZQ4cOxcmTJ4tTbQ3u37+P2rVrY9CgQWjUqFGJjfs+kZGRgfbt22Pw4MGoXLlynvInT56EoaEhTE1NERUVhUqVKsHLywvr16/HlStX8OjRI3h4eAAALl++LLX79ttvUalSJTg5OSElJQVeXl7o168f2rdvDwsLC0nO3t4eCQkJeepx9uxZGBsbIyIiAn///XchZi4oLpRKJRo2bIhu3bohKioKr1+/xuDBg3Hs2DE8ePAAERERsLe3R/ny5bO0PXHiBGrUqIHp06cjPDz8zZO9IF8IA0RQpujVqxf+/PNPXL9+PVe5lJQUKBSKLMcbNmyI77//HnFxcRg/fjxiYmLQrFkzHD58uLhU1uCXX35B06ZNMXr06BIZ731k27ZtMDQ0xDfffJMv+SdPnsDJyQkZGRkgibFjx2qct7CwQFRUFBYuXIgBAwZApVJh3759mDdvHhITE2Fubo4DBw7gf//7X7b96+npISMjI1cdIiMj0ahRI4SHhyMwMBA7d+7M32QFRc7FixfRpUsXeHt7Y/ny5QCACRMmoHz58ujTpw+qVKkCXV1dSV5PTw8LFy5E7dq10bZt2yz9PXz4ED4+PnB3d0daWho2bNiAlJSUEpvPh4wwQARlCplMht69e2PKlClZVjje5uDBg7Czs8vxvLGxMfr06YMDBw6gWrVq+Omnn4pD3SxkZmbCwcGhRMZ6X9mxYwd69OgBmUyWL3mlUpmnrK2tLUJCQjB69GiYmZkhODgYQUFB+OKLL7B+/XpUq1YNK1aswO3bt7O0tbe3R2xsbI59P378GLNmzcL//vc/9OrVC5UrV8bVq1fzpbugaNm3bx9q1KiB8+fPY9q0aZg5cyZ69OiByZMn4+eff4apqWmWNufPn8f+/fuxcuXKbPs0MzPD48ePIZPJ0KNHDwwdOhQBAQF4/vx5Mc/mDQMHDsTkyZNLZKyipswYIEqlsrRVELwnzJ07F8+fP0edOnVw7NixLOdJ4tChQwgJCclXf0lJSbh582ZRq5ktcrkcqampJTLW+0h6ejoiIyPh6+ub7zaZmZnQ0sr9p06lUmHJkiU4duwYAgICEBMTg4iICMycORPjxo0D8OZGc+fOHY126mvFy8srW123bduGRo0awdPTE7NmzYJKpcKkSZOwZMmSfOsvKBouXbqEzz//HJGRkYiNjUWbNm1w8OBB1KxZE6GhoXB0dMy2nUKhgL29PUJCQnDu3Lks59PS0qTra9myZYiPj8ft27dx6dKlYp2Pmg0bNuDbb7+FSqUqkfGKkjJhgKxbty5by1ZQNjExMcG2bdswevRodO7cGb17987yZGtnZ4fz58/nq7+BAwfi8uXLcHBwgI2NTa4rK+/Ko0ePNPwPyhoxMTGws7ODm5tbvtsYGhoiOTkZSUlJ2Z5PT09Hz549MWrUKNjY2CA6OhqVKlVC//798ejRI+jo6ODatWt48eIF7O3tpXYkMXv2bDx+/BjBwcEafY4YMQIKhQLh4eEYNmwY5syZA11dXSiVSjx58iSLvKD4ePbsGUJCQlC9enUEBgbCz89POmdra4sRI0Zg3rx5Gt/t29jZ2eHcuXOoU6cO2rZtiwkTJiAtLQ3Am2tg+/btCAoKAvBmhVVLSwtNmjTBlStXin9yAK5duwYAmDhxYoHb3rp1C1999RVkMhnu379f1KrlTXaeqaX1Kq4omBs3bjAiIqJY+hZ82Dx58oRjxoyhhYUF+/fvz2fPnjEtLY329vacM2dOvvrIzMzksWPH+MsvvxBAvnNTFIbAwECuX7++2Pp/31EnB7Ozs6OLiwunTp3Kn376iT/++CPnzZvHOXPm8Mcff9TIcKlSqdilSxc6OTlxyZIl/Omnn/jw4UOSbyJTWrRoQQcHB544cUJqs2vXLrq4uHDQoEF8/vw527VrJ1Uvff78ORcsWMCqVavSy8srS06RpKQkWlpa8tKlS1n0v3r1Ko2MjJiSklIcH48gGzp06CBFOT169Oid+kpISGCLFi1oYWHBjRs3ct++fXRzc8uSJXn79u20trYusTou06ZN46ZNmwrU5tSpU/z0008JgBUrVizWVO8QYbgCQc4kJiayWbNm7NixI4cNG0YTE5MC59hQqVQcNGgQraysikXHV69e0dnZWaMAV1nj9OnTNDQ05Pbt2zlhwgR6eHiwZs2arFWrFr29venj48MKFSrQ2NiY1apVY/369dm4cWOamZlRT0+Pcrmccrmc5cqVY8WKFVmlShW6urpmm8wtKCiIffr00Th2+/Zturu7s2PHjjx06FC2eSF27txJX1/fbPVfvXo1u3TpUjQfhiBPMjMzKZPJeOTIEe7du7fI+o2MjKSHhwfNzc1zzJJbs2ZNHjt2rMjGLEquXbsmGWXfffddsY8nDBCBIA9SUlL42Wef0cLCgubm5ly3bl2B+4iPj6e+vn4xaPfmqapRo0ZlOpHV69evWb16df7www+5yh08eJCLFy+ms7MzAdDJyYmBgYEsX748J06cyJYtW9LJyYmhoaE5ZqWsWbOmxjhRUVF0dnbOc2UsJiaGbm5u2X5PX3zxBefOnZuPmQqKgj59+rBly5bF0rdKpco1Nbqvry+XL19eLGO/Ky9evGBwcDDbtWvHq1evFvt4wgARCPLBlStX6O7uzmHDhtHMzCzXrIU7d+6kl5cXHRwcaGpqSisrK5YvX16qvFnUTJ8+nYMHDy6Wvj8kbt68SRMTk3xtYwwYMICdOnXKcjwxMZEmJiacMGFCjm0rVKggbXdFRETQ2tqaO3fuzHNMpVLJChUqZClqmJaWRnNz8zyzZQrejWfPnvHvv//m999/T0dHx1IrVXDkyBE6OTnR39+f169fLxUd3hdyMkDKhBOqQJBfnJyccO/ePbRu3RoymUwjH8DbqFQq9OrVC76+vli5ciXOnDmDiIgIPHr0CHp6ekWu182bNzFnzhzhvAjA1dUVbdu2xapVq/KUVSqV2UbAWFlZYe/evZg9ezYCAgKyjSBIT09HcnIyMjMz0atXL+zduxft2rXLc8yMjAyoVCqUK1dO4/jvv/8Ob2/vHJ0dBYUnNjYWu3fvRu/evaFQKODr64tr167h8OHDMDAwKBWdGjdujOvXr6NVq1aoWbMmIiIiiqRfkpDJZOjQoQMSExOLpM9SIzurpLReYgVEUNoolUrKZDJeuHCBcrmcDx48yFbu+vXr1NPTy+J8NmTIEDZt2rTI9WrdujVnz55d5P1+qBw/fpzOzs55Pt326dMnV5+LCxcuEAA3bNigcXz//v2Uy+V8/PgxMzMzWb58+Xz7EAwbNowtW7bMsgUTFBTEZcuW5asPQf64c+cOmzVrRjs7O1avXp0zZsxgXFxcaauVhWXLltHKyqrInI87d+5MADQ3N+fZs2eLpM/iBGILRiDIm9evX1NXV5cZGRmsXr06p02bxuvXrzMoKIijR4/m0aNHOWXKFLq5ubFRo0ZZ2o8aNYpubm6cPHlyvpbr88P169dpbGzMpKSkIunvYyE4OJj9+vXL8fzIkSNpY2PDzz//PNd+Zs6cSV1dXdrY2HDr1q1cuHAhjY2NGR4eLsmsWbOGLi4ueeoUHx9PU1PTLJFQL1++pImJifgOi4jt27cTAM3MzDh9+vR8l7cvTbp06cLPPvuML168eOe+MjIy2LdvX8mRdO3atUWgYfEhDBCBIB/ExsayYsWKJMkJEybQ1dWVtra2bNy4MevXr0+ZTEZra2uam5vT3d2dCQkJGu337t3LRo0asXr16jQwMMjTWTIn0tPTeerUKW7fvp3m5uYMCwt757l9bDx9+pQWFhY5+lQ4OjqyZ8+eefpc/PHHH3Rzc6NMJqOjoyMNDAzYpk0bDZnExEQCyNXpkCQvXrzIypUrZzm+fft2tmjRIo8ZCfKLjo4OAWT5/3uf+eOPPySDISfH54KgUqm4ZcsWAmD37t2LQMPio1gMEAAzAfwF4AKAbQDM/jnuCiANwPl/Xovy058wQASlzc6dO9m6dWuSb6JiKlWqRC0tLen8mDFjeOnSJSqVSrZs2ZK2tra8fPlytn0NGzaMTZs25d27d/M1tkqlYmxsLLt06UJjY2PWqFGDfn5+nDdv3rtP7CPF09Mzx7wrjo6Oea5CrV69moaGhgwNDZWeovfs2UMzMzMNY+Phw4d8s2OdO69fv6adnV2WUOkBAwZw1qxZebYX5I1KpaKXl1e+KhC/b6i383IK3f1YyckAeVcn1H0APEnWAHANwNsVsuJIev3zyl9Oa4GglLl27Rrc3d0BvEndbGBggFq1aknnp0yZAg8PD2hpaSEqKgrt2rWDt7c3XF1dsWfPHo2+fH19cfjwYTg7OyM5OTnXcXft2oVKlSqhWbNmqFq1Km7fvo2YmBhERkYiNDS06Cf6kWBiYpLnZ5sTcXFx+Oqrr7Bq1SrMmzdPchpt06YNypUrh0OHDgF485B2/PhxAMgz3bWuri78/Pxw6tQp6VhmZiZ+/fXXfDmwCvLm0qVLSEhIQPPmzUtblQKjra2NJUuWICQkBOvXry9tdUqddzJASEaSVNc1PwEg+2T6AsEHQmxsLKpUqQIA6NmzJ1xdXXOtdPvzzz8jNTUVvXv3RpcuXVCjRg1ERUUBAAICAvDy5css0RD/Zvz48Rg4cCAWLlyI+Ph4jB8/Hubm5kU3qY8YHx8fnD59OttzKpUKkZGR0vtLly7h5MmTAIBjx47Bw8MDvr6+CAwMzNLW3NwcCQkJ+Pnnn1G9enWMGTMGkZGRedaUUeu0ZMkSnDp1CseOHUPPnj3h7OyMqlWrFnKWgrexsbHBq1ev8OjRo9JWpVC0atUKBw4cwNdffy2MkOyWRQrzAvAbgO78/y2YlwDOAYgG0CSXdv0AnAFwxtnZuViXgQSCvGjRooUU7VC+fHlu3Lgx323T0tLYrFkz+vj4SMd27dpFExOTHH1BIiIiWLFiRSYmJr6b4mWUTZs2ZfHXUGNvb099fX3ev3+fkZGRNDAwoImJCR0cHCiXyxkcHJxtuxYtWtDU1JSurq6sVKkSo6KiCpT8LT09nXPmzKGLiwtdXV05c+ZMxsfHF2p+gqzcuHGDAOjh4VHaqrwTf/75J21sbD4IB9p3BYX1AQEQBeBSNq//vCUzFm98QGT/vNcDYPnP37UB3AVgktdYwgdEUNpUrlyZV65cIUkC4K+//prvtikpKTQ1NeXmzZulYyEhIXRycqK5uXm2bdq3b18gI0egyfPnz2lgYJBt2ny1Q2lAQAANDAw4depUvnz5klu2bMkxRfaJEyeora3NVq1aUUtLi+3bty+0bkqlMkuYtuDd2bVrFwHQwsKitFV5Z1xdXXnt2rXSVqPYyckAyX1t+M0KSavczstksi8ABABo+c9AIPkawOt//j4rk8niAFT6Z6VDIHhvefDgAWxtbbF7924AyHP75G3Cw8Px7NkzrF69GmfPnsWFCxdw6NAh6OjooEGDBtm2MTMzw5MnT4pE97KIkZERvLy8sGfPHnTq1CnLeT8/Pzx48AA7duxAy5YtASDbLRc17u7uMDMzw6FDh0ASlSpVKrRu+dmuERSc1q1bw9XV9aPwjcrMzERmZmbegh8p7/QfIpPJ/AGMAtCBZOpbx61lMpn2P39XAOAO4Ma7jCUQFDcnTpyAmZkZXr58iS5dumDRokUFchz87rvvcOjQIdjb2+PEiRM4c+aNvT158mTs3Lkz2zZ3796Fk5NTkehfVvn2228RGhqKrl27SnvqJKFUKtGvXz+cOHFCMj5yQn0TsLCwwPXr17F//364ubmhV69exa2+oIBoa2tj5syZ2LRpE9LT00tbnXciODgYixYtKm01So13NdF/BGAMYJ9MJjsvk8nUn2RTABdkMlkMgC0AQkgWzlVdICghwsPDMXz4cEyZMgXVq1dH//79C9xH06ZNsWjRIujr60NLSwtnzpzBoEGDsn0anjt3Lv7++280bdq0KNQvs/j7+yM0NBS//PILevXqBT8/P9StWxepqamoUaNGrm1fvXqFhg0bQl9fH40bN4ZKpYKxsTH2798PAKhcuXJJTEFQQNq3b4/09HRs2LChtFV5J6pWrYqUlJTSVqPUyP/6cjaQdMvh+FYAW9+lb4GgpMnMzIS1tTV2796NKVOmFLqf+vXr4/Lly7h27Rrs7Oyyldm3bx9++OEHHD16FIaGhoUeS/CGESNG4JdffkHLli3x7Nkz6OjoIDo6Os86IM2aNUO5cuWwYMEChISEIDk5Gd999x0uXbqE6Oho6OjolNAMBAVBT08P3333HcLCwtCzZ8/SVqfQREVFoUmTJqWtRqnxTgaIQPAx8fz5cwBviokVdml33bp1Uqjnjh070LlzZ1hYWGjIpKamIiQkBAsXLoSLi8u7KS0AAMhkMsyZMwdBQUG4evUqTExM8tXO0NAQZ86cwZAhQzBo0CDExMRgx44duHLlSr77EJQOlSpVwr1796BSqT5Yf5uoqCjMmDGjtNUoNT7Mb00gKAZOnz6Nu3fvIiMjAz169ChUH0uXLsWwYcOwatUqTJw4EeXLl8eaNWvU0WJITU1Fly5d0LBhQ5GYqohp0KABPvnkEwwZMiTfbaKiotCnTx/s3LkTvXv3xueff46VK1cK4+MDoEqVKrC1tcWmTZveqZ/nz59j165dWL58OebOnYvo6Ogi0jB3UlNT8eLFC1hZWZXIeO8jwgARCP6hfPny+Pvvv2FmZlag6Je3+fvvv9G6dWv07NkT8fHxWLBgAUJDQ9G9e3fcuHED9erVg6WlJZYvX17E2gsAYM6cOVixYgVSU1PzFsabSJUffvgBKpUK/v7++Omnn9CqVa6Bf4L3BJlMhhEjRmDNmjUFanfp0iXMnj0b3333HVq0aAF7e3vMnDkTR44cQVxcHP773//C3d0dXbt2xblz54pJe2DTpk1o3Lgx5HJ5sY3xviMMEIHgH7S0tNCkSRPcvXsXSUlJheojNTVV44mme/fuiIuLw9atW1GlShV06NABK1asEL4FxcTZs2cBIN+f79OnTzFx4kR0794dW7Zswaefflqc6gmKGG1tbWhra+dLNioqCo0bN0arVq1w7do1kMTQoUPx4MEDHDx4ECtWrMD8+fNx9epVbNu2DXXq1IG3t7eUkh8AoqOjsXr16nfWe8uWLfj666/x7bffvnNfHzLqxGHvBT4+PlSHLgoEJcnjx49Rvnx5JCYmokGDBqhbt26Bw+POnz+P+vXrIzExEcbGxtLx1NRUGBoawszMDLdv3xbL+8VIRkYGdHV1kZCQAFtbWwCAUqnEvn37EBsbi+TkZLi6uuLixYs4f/48/vzzT7Rr1w7Tp0+Hs7NzKWsvKAjJycmoW7cuPv30U4SFhUnHSWLv3r24desWnj9/DldXVyQnJ2PmzJkYNWoUevToAX19/XyNsXTpUowfPx4nTpzAuXPn0LFjR+jr6yMtLa3Qej9//hwVK1bE77//jrp16xa6nw8JmUx2lqTPv48LJ1SBAG+cR9u2bQtdXV1oa2vnGT2RHc+ePYOuri4++eQTNGjQAL6+vrCxscG2bdvg4OCAo0ePCuOjmNHR0YGuri68vLwwffp0/Prrrzh8+DAqVKiAunXrwtzcHJGRkbC1tUWbNm2wadOmMr0H/yHz4sUL3L9/H69fv8bTp09hamqK3bt3Y/LkyUhJSUGjRo1gaGiIo0ePwtraGsOHD0ffvn0LNEbfvn1x9OhRfPHFF7h+/TqAN6Hbt27dgqura6H0njx5Mtq3b18ixkdaWhq6deuGgQMHvp9bi9mlRy2tl0jFLigNlEol3dzc+McffzA6OpqmpqZ8+fJlgfvJyMjgwIEDaW5uzp49e7JZs2Z0d3dn7969eePGjWLQXJAdmZmZXLt2Lf38/PjDDz/w/v37pa2SoJhISEhg3759Wa5cOerr67NChQpcunQpnz9/XmRj/P333+zYsSODgoIIgAA4dOjQAtUHUpOSkkJbW1up3ENxk5GRIekcGBhYanVnUNhaMCX5EgaIoDTYt28fa9asSZVKxdmzZ7NixYrv1F/Tpk05b968ItJOIBDkRUZGBl++fFmsN9iHDx/yyJEjbN++PQGwe/fuBTZCxo0bx969exeThtlz5swZ6uvrEwD37dtXKMPpXcnJABE+IIIyzfPnzxEQEIDAwEA0bdoUjRs3xtKlS9G1a9dC97lnzx5079690I6sAoHg/ebVq1fw9PTE+vXrUadOnXy3q127NsLDw9GoUaNi1C4rBw4ckMoRVK5cGX/99VeJjp+TD4iIghGUabZt24YTJ06gR48eSEpKgpmZ2TsZHySxbNkyBAcHF6GWAoHgfUJfXx+dOnVCWFhYFofUhw8faoTvPnr0CAsWLMCECRPw559/lkp6/xYtWki/a7GxsZg9ezbmzZuHjh074s6dOyWujxphgAjKNObm5mjevDnMzc1RuXJlPHr0KN/Vae/fv4+UlBTcvXsXJ0+exOLFi9GkSRPcunULs2bNKmbNBQJBaTJx4kRoaWlBoVCgSZMm+Oabb7Bo0SLY2trC29sbx48fx+LFi1GlShWcOnUKGRkZOHLkSKk5PTs5OWHSpEk4efIkYmNjceTIEfz66694+vRpqegDiCgYQRmnXr166Nq1KzIzMxEaGgoHBwfo6urm2e7FixdwdHSEvr4+LCws4ODgAHd3d4wcORL+/v756kMgEHy4GBiq2baLAAAgAElEQVQYYOPGjUhOTsa5c+dw8OBBbN26FVFRUTh37hw+++wzmJub4/jx46Ve1HDp0qUICwvD6dOn4ePjg+TkZHz//feoXr06PD09S00vYYAIyjS//vorvL29QRJ79uzBn3/+ma8Q3HLlysHQ0BDx8fEitFYgKMNYWFigZcuWko8FALRs2RJDhw6FTCYr9To1JCGTyaCjo4Nly5bBx8cH8+bNQ40aNTB+/HjIZLJS000YIIIyTVRUFPr164cLFy7AwMAAVatWzVE2JiYGK1asQOvWrfHgwQO8evUq31kYBQJB2WDLli2YP38+AgICYGtri/Pnz8PY2BgTJkwocV2WLFmC/v37Izw8HOvWrUO3bt3QqlUrXL58GevWrctSKLOkEQaIoEwTExODcePGIT09Pc8nlQULFuDWrVs4ffo0bGxssGHDBhgaGpaQpgKB4EPgzp07OHr0KCpVqoRTp07B29sb3377LcaOHVuiJRguXbqEr7/+GgMGDEBoaCisra2RmZmJfv36Yfv27aVufADCABGUYZ49e4bY2Fi0bNkSJiYmeP78ea7yPj4+2LJlC1JSUnD27Fl4e3uXkKYCgeBDYeDAgViwYAH69+8PHx8fXLx4EdOmTYNSqSwxA+Tly5fo1q0bwsLC0K9fP2RmZiIlJQVdunSBj49PobO4FjXCABGUWdQ5ZxITE/HkyRO4ubnlKu/j44OUlBQ4OTmJrReBQJAtenp6CA4OxowZM9CvXz+pOnZ+68+8K6dOnUK/fv1Qp04d9OvXD4MHD8aZM2cQHR2tUaPqfUCE4QrKLJaWlqhQoQL09PQQFhaGq1evYuPGjTnKDxo0CEuWLMGdO3dQs2bNEtRUIBB8SIwbNw6pqano27cvJk6ciEmTJhX7mFFRUejUqRM6duyIYcOGYdSoUfjyyy8xf/58jB8//r0zPgBhgAjKMDt37oRKpYKNjY2UpGfp0qVZ5JKSkrBr1y5cuXIFnTp1Kmk1BQLBB4ZcLsfOnTtx69YtfPfdd3BxcSm2sVQqFb799lv07t0b7dq1w7Vr19CjRw8EBwfDzs4Ox44dQ9u2bYtt/HdBbMEIyiynTp3C9OnT0aVLFwBvfjQaNGigIXPixAl07NgRnp6eGDp0qKicKhAI3iumTp2Kffv24cyZM1AoFACAX375BZmZmZg8eXKphwHnhjBABGWS8PBwnDlzBkuWLAEApKamQqlUon///hpys2bNQt++ffH999+XhpoCgUCQK9u3b8fDhw8xZcoUBAQEIDo6GosWLcLWrVvfa+MDEFswgjLKgQMH8PDhQ/Tt2xfAm5owVlZWcHR01JDr378/li5dis8++wz79u0rDVUFAoEgR3bt2oWVK1fCyMgIYWFhePToEWJiYtC8efPSVi1P3mkFRCaTTQDQF0DiP4fGkNz1z7nRAPoAUAIIJbn3XcYSCIqSDh064MKFCxg7diwAYOTIkRg2bFgWOT8/P5w/fx6ffvopDh06BD8/v5JWVSAQCHLExsYmSybWD4Wi2IL5gaRG5S2ZTFYNQDAADwD2AKJkMlklksoiGE8geGfCwsKwevVq1K1bFwkJCXjy5AmaNWuWRe7GjRvo1KkTZDIZQkJCSkFTgaBg7NmzB3/88Qfatm2LBg0avPfL8IKyS3Fdmf8BsIHka5I3AVwHULeYxhIICkxycjLc3d2RmJiISpUqoVmzZvDx8dGQIYlhw4ahY8eOOHfuHJycnEpJW4Eg/7Rt2xZTpkxB48aNsW3bttJWRyDIkaJYARkkk8l6AjgDYDjJFAAOAE68JXPvn2MCwXuBpaUlHjx4AAsLC6hUKkyfPh0qlUp6Wrxy5Qp69OgBlUqFDRs2lGrBJoGgIAwcOBC3b9+Gvb09/P39S1sdgSBHZCRzF5DJogDYZnNqLN4YGUkACOB7AHYkv5TJZAsAHCe59p8+fgawi+TWbPrvB6AfADg7O9e+ffv2O0xHIMgf33zzDe7evYs1a9bA398fUVFRWL9+vRSS27lzZ1SuXBmTJk3Kcwn7wYMHOHz4MORyOeLi4tCvX798VdQVCASCsoBMJjtL0uffx/NcASHZKp8DLAXw+z9v7wF4e73aEUB8Dv0vAbAEAHx8fHK3hgSCIsLe3h43btyAlpYWIiMj4efnh0mTJmHfvn2wsLDAnTt3EBcXh/Hjx+dqgBw4cCCL89fNmzcxb9684p6CQCAQfNC8axSMHcmEf952AnDpn793AIiQyWRz8MYJ1R3AqXcZSyAoSj755BNMnDgRzZs3x48//oiff/4ZYWFh2LJlCx4+fCjJbd++HZ07d86xH11dXSgUCrRv3x737t1DvXr1MHDgwJKYgkAgEHzQvKsPSJhMJvPCmy2YWwD6AwDJyzKZbBOAKwAyAQwUETCC94mKFSuidevW2LRpE6pXr46BAweiS5cu+Omnn+Do6Ijhw4dj6NChuHDhQq4GSOPGjfHgwYMS1FwgEAg+DvL0ASlJfHx8qK5QKhCUBCtXrkTv3r2ho6MDPT09aGlpYf/+/bCxsUG1atVgYWGBGjVqoG/fvqhVqxacnJyEQ6pAIBAUgJx8QESAuKBM06tXL9y8eROff/45lEolWrZsiWPHjiE+Ph5paWl4+PAhIiMj0bFjR7i4uGDPnj2lrbJAIBB8FIgVEIHgH+Lj47F582ZcunQJW7duRUpKCgAgICAAJiYmqFy5MsaOHQttbe1S1lQgEAg+HHJaAREGiECQDSqVComJiTAxMYFcLi9tdQQCgeCDpdBhuAJBWURLS0sqbS0QCASCokf4gAgEAoFAIChxhAEiEAgEAoGgxBEGiEAgEAgEghJHGCACgUAgEAhKHGGACAQCgUAgKHGEASIQCAQCgaDEEQaIQFCEJCUl4cmTJ6WthkAgELz3CANEIHgHSCI2Nhbr169H8+bNYW1tDXNzc5w7d660VRMIBIL3GpGITCAoIElJSdi2bRv279+PjRs3apxzdnbGZ599Bg8Pj1LSTiAQCP6vvTsPb7LKGz7+PV0pbaF706T7Ai2LLRTLUhVhZBWHV3FDvdBhWB6Qa9yGR1EvcFDhHQeFwVGHV9FH0UF0FEQBKQ4gIFoWCy2FFtrSJXRP26QLtGly3j8oeRAoO0lpz+e6cjW5k9z5/e7cSX499znnvjmoAkRRLpOUkhUrVvDiiy8ihKCmpoYRI0awePFiYmJiqKiooE+fPupsuYpymYqKipBSEhkZ6ehQ2vXpp5+i0Wi46667HB1Kp6MKEEW5BLPZzMqVK3nrrbdwc3Nj27ZtvPPOO3z11Vds2bLFdnK6gIAAB0eq3CyklOzZs4fvv/+e/fv3c+zYMQwGA927d0ej0TBs2DBeeOEFgoKCHB3qeY4cOcKpU6cYMGDAVa+jurqav/71r3z00Uc4Ozuj1WqZN28e999/P05O5/cMaG1tZePGjezYsQODwcDBgwdJTk7mxRdfJCoq6qKvZbVaMRqN9OzZ84LrPsNoNKLX62lqasJqtWIymSgrK+Pxxx8H4MCBAyQmJl51zsr5VAGiKBfx888/M3XqVHQ6HW+//TY//fQTd9xxB97e3gwYMIDW1lZ1dlzlspjNZrZv305DQwMff/wxBw8e5IEHHuDxxx+nd+/eBAYG0tjYSGlpKYsXL2b06NEsXLiQcePG4erqatdYW1paKC4uxtfXl9raWoqLi2lqauLkyZPMnj2b6upqlixZwrBhw/D09KSiogJPT088PT0xmUxYLBb69u2Lh4cHNTU1nDp1ipKSEvz9/Vm7di3Lly/ngQceIDs7m4CAANLS0njllVdYsGABkyZNws3NjdbWVsrKyigqKiIjI4PY2FgmTpxIXFwc06ZNY8uWLQwaNIjg4GBcXV25++67SU1NJSoqCi8vLyoqKvjXv/7Fhx9+iJSS1tZWdDodUkqKiooQQhASEkJISAh6vZ66ujrCwsLw9PTEyckJLy8vtFot7777Lp6enowfP54HH3wQd3d3mpqaaG1tpb6+nubmZtv6nZ2d8fDwwMfHh9tvv73dgko5TZ0NV1EuIjg4mEWLFnHPPfcwbNgwUlJSWLx4MREREY4OTenApJTk5OSwadMmDhw4QPfu3Vm/fj3h4eEEBgaSlJTEc889h4+PzwWff+rUKdasWcN7773Hr7/+SnBwMI888ggTJkzAy8uL7du388EHHxAcHEy/fv2IiIggLCwMf39/3NzcGDx4MG5ublcUc2trKxkZGSxbtoz169fj7++P0WjEx8eH8PBwPD09AZgyZQq9e/dm+fLlZGdn09jYiEajobGxkaamJry8vHBxceHgwYOYzWb8/f1xd3dHp9NRXV1NcnIyr7/+OmFhYedts61bt7Jr1y7bj7lGoyEiIoJ+/fqd93gAk8lEcXEx9fX1bNiwgT179qDX6zGZTPj6+jJ+/HjmzJlDWFgYDQ0NnDhxAiklUVFRSCkpKyujtLQUrVZLZGTkRQ+f7tu3j61bt2KxWOjevTsuLi54e3vTrVs3AFxcXLBYLJw8eZKamhqeeeYZnnvuOebNm4e/v/8VvRedTXtnw1UFiKKcRUqJ1Wq1tWoMGzaMp59+mpiYGFJTU/nqq68YNWrUFX+5Kzen48ePs3r1aiIiIpg0aZLtx+ZcVVVVbNq0icOHD5OTk8Ovv/4KwNixYxk8eDAmk4kxY8bQp0+fK47BYrGQm5vLJ598wvbt22lsbCQ5OZmpU6fS2NhIbm4uhYWF6PV6DAYDZWVlDBkyhI8++uiy+iPl5eXx8ssvs2nTJlsn6ieffBI/P78rjvVsra2tODk5ddkWgG+++Ya3336bvXv3otFoGDRoELGxsURGRhIeHk5cXBx+fn5kZ2dTWFjI2LFj6dmzp6PDviFUAaIol7B06VIWLVqExWLhiy++YPfu3axatYr09HT8/Pz45ptvWLRoEXl5ecyZM4cFCxZ02S/Xzq6lpYXvv/+eadOmcf/993PkyBFKS0sZNmwYzc3NTJ48mbFjx7Jp0ybmzZuHXq9n1KhRJCUlER8fT2JiIrGxsQ7pkNzY2EifPn345JNPGD58+AUfY7FYKCsrIzMzk5kzZzJr1iymT59OYGCgnaPt/CwWC9nZ2WRkZJCfn09RURGFhYUcO3YMk8lEYGAgCQkJ7N69m7vvvpvbbrsNjUZDSEgIcXFxnaL1RBUginIRTU1N+Pr6kpWVRUlJCY8++ihGo5HDhw+f18mtsLCQyZMnc9999zF37lwHRdy5lZeX8+9//5sff/yRvn37Ul9fz1NPPUV4eDh1dXV88skn7N27F1dXV2699VaKiorIycmhtraW5uZmnJ2d8fPzIzg4mICAAObMmUNoaChwulOi1WpFSklLSwulpaUUFhZy+PBhNm/eTEZGBtXV1QwYMIDXX3+dUaNGYbVaSU9P59ChQ1itVlauXElGRgZRUVEsW7aMu+66q0O0in399dcsX76cAwcOcODAgd+MLlmxYgVLliyhqqqKpqYm/Pz86NWrF7Nnz+bhhx92XNAKAJWVlaxdu5Z9+/ZRWVlJeXk5BQUFTJ06lTvuuIOxY8fetP3NVAGiKBdgNpspLCzEYDBw9913YzAYAFi5ciUvvfQSkyZN4h//+Md5/8kWFBSQmprKyy+/zJNPPumI0DsMq9VqawmSUrJu3Trq6uoYMWKE7QfQYrFQXV1tK/R8fHywWCzk5+fb/issKChgz549ZGVlYbVaGTFiBOPGjaOwsBCz2cyHH37IyJEj+fnnn0lNTWXMmDFYLBY+/fRTUlJSGDJkCH5+fri7u2OxWDAYDJSXl3P06FE+/PBDtFotx48f5+TJkzg7OyOEwNXVlZCQECIjI4mJiWHMmDGkpKSg0+ku2brV1NRE9+7db/TmvWxms9lWBK1evdpWVJhMJv72t7+xatUqvvrqK6Kjo/H09OwQBZNycVlZWaxdu5YNGzZQXFxMnz59cHd3RwiBl5cXcLrviZ+fH6GhofTp04chQ4Z0uJYsVYAoHUJWVhY7duwgICCAoKAgevTogUajsfW212q1dmm2NplM/OlPf+Ljjz+mV69etLa2MnPmTP77v/8bwNZRzc3Njblz5zJ9+vTz1lFQUEBiYiImk6lLzv1RWlrK1KlT2bJlCy4uLkycOJGqqiqKi4u59dZb2bx5M9HR0dTV1VFSUoKPjw/du3enurqaIUOGkJ6eTmBgIHFxcURERBAZGUlycjJJSUkEBQWdt02PHj3KL7/8wi233EJSUtIVxVpZWUlpaSmxsbF4enp22vfr+eef54033iA9PZ2UlBRyc3MZPXo0w4cP55VXXiE6OtrRISpXQUpJYWEheXl5mM1mLBYLDQ0NODk5YTabMRgMlJSUkJmZSXp6Oj179uTRRx9l0aJFHWJfb68AQUrZYS7JyclS6ZzKysrkzz//LCdMmCCBdi/33HPPRddjNBrljz/+KK1W6zXFo9frJSBTUlLk0KFDba8/f/58OWnSJDlgwAAZExMjX3vtNTlu3Lh21xMTEyPT0tKuKZabidlslnv37pUvvfSSDAwMlAsXLpQnT56UdXV18u9//7ucP3++3Lt3r5RSyuPHj8s9e/bInJwceerUKds6jh8/Lj///HNZXV3tqDQ6rYkTJ0pADhgwQCYkJMgePXrIlStXOjosxY6sVqt84oknpLOz8zV/T14vwD55gd/8a2oBEUKsAXq33fQB6qSUSUKISOAIkNt23y9Syv+61PpUC8iNZzKZWLx4MVFRUQwfPpxevXohhKC2tpaNGzcSFRVFVFQUPj4+5OXl0bt37+vSVLt06VKeffZZtFotDQ0NuLm52YasRUVFccstt+Dj44Ovry+TJ0+moKCA/Px8SktLEUKQlJSE2Wxm2bJlVFdX4+vrS1JSkm3EypQpUwgKCqJnz55oNBq6deuG0WjktddeY+DAgURHR1NfX098fDw6nQ4hBKWlpezYsYOmpia++uorSktL8fDwwMXFhaamJgoKCggLC+P9998nJSXlgnmtXLmSVatWsX379mveRh1VdXU1S5cuZdu2bWRlZREeHs64ceOYNm0a8fHxjg5POUdFRQUlJSW4ubkRFxeHh4eHo0NS7ERKyUsvvcS3337Lxo0bLzh02RFu+CEYIcSbgFFKubCtAPlOStnvStahCpCrI9vGs586dYrg4GBaWlqoqqrC398fPz8/hBC0tLRQXl5OZmYm99xzz2+e/9Zbb+Hs7MxTTz113rrnzZuHh4cHsbGxuLu7k5WVxbfffotOp+Odd94hNDT0dCV7iWY+o9FI7969mTlzJr169SI1NZXIyEiMRiNpaWn85S9/oaysDKvVilarJSoqipiYGEJDQzGbzWRmZtKtWzeGDh3KtGnT2LNnD0ePHsXV1ZWqqirWrFlDY2MjtbW1VFRUEBoaitFoZMKECZSXl2MwGPDy8iI7O5vo6GiioqIoKysjIyMDrVbLwIEDCQsLQ6PREBQUhE6no3fv3mg0mnZzamlp4dVXX2XTpk105v3W39+fmpoa1qxZw5gxYzrtUEFFudlYrVaOHTtGeno67777LseOHSM2NpbvvvuuQ/UDuaEFiDj961MMjJRSHlMFyLU7+0ddSklJSQk1NTW0tLRQV1dHWVkZhw4d4sCBA2RkZCCEwNPTk/Lyctzd3QkICKC6upqWlhbb3BZBQUG0trZSU1ODi4sLnp6etln8zp5p0WKx0NzcTFxcHIMHDyYwMJC8vDxaWlqIj49n7Nix7Nixg3feeQetVkteXp5tCGJISAiDBg0iIiKCxsZGSkpK0Ov1ODs7U1ZWxpdffombmxvp6en8+c9/ZsGCBdd927W2tpKXl4eHh8d5E4ZZLBY2btyIyWQiODiYpKSkK5pCvbW1lWXLlvHee+9RWlrK7373O1asWIFOp7veaTic2Wxm69atzJo1i+PHj5OZmUn//v0dHZaiKJzugzZjxgyOHTtGUlIS06dPJyUlhcDAwA7R7+NsN7oAuQN468wLtBUg2cBRwAS8LKXc2c5zZwAzAMLDw5OLioquOZ6b2dtvv83ixYupqqpi1KhRtomGADQaDS4uLvj4+BAcHEzfvn1JTExk4MCBaDSa83Y6KSVNTU04OTnh5uZmG8J1Znl9fb1teWtrKxaLBYvFgouLCx4eHrZe1u3JycnBYDAQGxtLWloax44dQ6/X88svv9imZtZqtYSFhWG1WmloaKC0tJSSkhKMRiPjx49nw4YNN2ZDXgctLS0cPXqUo0ePUlRUxL59+9i2bRsJCQm8+eabxMXF2WaHvNlZLBYKCgrIyMhg7969/PLLL2RkZNC3b18ee+wx7rvvvk5ZZCnKzaalpYVZs2axbt06nn32WZ5//nlcXDr2WVWuugARQvwAXKgd+iUp5Tdtj3kPyJNSvtl22x3wklIahBDJwDqgr5TSdLHX6sotICdOnGD//v1MnDiRe++9lw8++IDNmzcTHBxMXFwcoaGhHa6qvRb19fV4eXnZPSeDwWA72VRjYyONjY04Ozvj6uqK1WqlqamJzz77jB9++IHCwkIiIiKIj48nIiKCxMREhg8fTkxMzE31XlRWVpKVlUVhYSGlpaW2GTObm5sxmUyUl5dTXFyMRqMhKSmJ5ORkBg8ezODBg+nRo4ejw1cU5Szz589n//79fP7553h7ezs6nMvSXgFyybJJSnnRcxALIVyA+4Dks57TDDS3Xd8vhMgHegFdoro4cx6Ghx9+2HbIpLKyErPZzB/+8Ac8PT0xGAzk5uZy8OBBdu/ezYkTJxg6dCiPPfYYDz74IH5+fkyePNnRqdwwjvrgnHu4pV+/fri6utLS0oKTkxPu7u6MHDmSL774gl69erU79XZHJqXkyJEj7Nixgy1btrB161YSExOJjIwkNDSUxMREAgMDcXd3x9vbG41G85tzfSiK0nHt2rWLe++996YpPi7merTb3AXkSCn1ZxYIIQKBGimlRQgRDcQBBdfhtTqUgoICnJycCAoK+s2ERG5ubtTX15ORkYGXlxc+Pj7079+fhoYGZsyYYZs4Ji4ujv79+zNt2jQGDBjQ4ZvRbnYtLS2sWrWKFStWUFVVRW5uLocOHWLnzp3cdtttdo9HSsmKFSswGAwUFxdTV1dHdHQ0ycnJjB8//rImubJaraSlpbF//35ycnLIy8sjNzfXdjbOu+++m5UrV7Z70jNFUW4ur7zyCpMmTSIgIID+/fsTFBREUFCQo8O6KtfcB0QI8T+cHmb7z7OWTQIWAq2ABVggpfz2Uuu6mQ7B/POf/2TWrFkEBQVhMpkIDw/noYceYs6cOeTn5zN9+nRqa2u58847mTNnDrGxsXh7e9tmsVPs78zZLvv27cupU6doampCq9WyZMmS30xZbQ9Hjx5l+vTpNDU1MWzYMHr16oWPjw8FBQXs3LmTvXv38vXXXzNixIiLrmf58uW89957/P73vychIYG4uDhiY2MJDg62UyaKotiD1WqlpaUFs9nMl19+yR//+EfbfUuXLuXpp592YHQXp2ZCvc5KSkqYPXs2Bw4cYMKECRiNRlavXg387+RuBQUFfPfdd7z77rsYDAbq6+txcnLC398fHx8funXrRrdu3YiJiSE5OZmUlBSSkpJuymb/jk5KiZOTE6NHj2bhwoUMHjz4uqzXbDbz7bffMmTIELRa7SUf39jYyKpVq5g/fz4vv/wys2fPvmDL1/r161mwYAEZGRkXXd+8efPYsmULCQkJSCkxGo1UV1djNBptw7E3b97MkCFDrjpHRVEc66OPPuKZZ57h5MmTuLq6EhAQQGxsLOHh4bbD/Xfeeaejw2yXKkBukEOHDrF582ZKSkrw8/MjPDycJ554ot3HNzU1YTAYqKuro7m5mZMnT5Kbm8u+ffvYsGEDer2empoafH197ZdEF2E0Gvn888+ZO3cugwYNol+/fvj5+REYGEhMTAy9e/cmIiLigucAeeCBBzAYDMTHx+Pm5oaXlxceHh6sWbMGV1dXfv31V3bs2MHtt99+3nPXrVvHW2+9RUlJCWVlZYwaNYpXX33VNp24lBKDwUBBQQE5OTkcPnyYn376iV27dnGpz2dDQwPr16/HYrEA0LNnT/z9/XFycsJkMvHaa6+xa9cuVq1axWOPPXYdtqKiKPZ0ps/Htm3b6Nfvima26DCuuhOqcnH9+vVrd6d45JFH2LFjB8OHDychIQGTyURtbS2NjY3ccsstJCQkkJ+fz6FDh0hPT6euro777rvvpj3jYUfXs2dPZs6cyWOPPca2bdvIz8+npqaGQ4cOsXbtWnJycmhqaiIlJYXExET69etHeHg4vr6+tuHF27ZtO2+9I0eOJDQ0lAEDBlzwddPS0ti5cydhYWHceeeduLu78/rrr1NVVUV5eTl6vR43NzciIyOJj48nISGBF154wTb7qtls5siRI5hMJtuZXGtra9Hr9ZSUlNjmWqmqqqK2tpba2lq6detGQEAAGo2G5OTkm/YYsaJ0ZTt37uSOO+5g4sSJdj9MbA+qBeQGmjFjBu+///5vlo0cOZIpU6aQkZHB0aNHiY2NpW/fvqSkpNC/f3/VEdXBysvLSU9PJysri0OHDlFaWkpdXR21tbVUVVXh4eGBRqMhNDSU2NhYdDodgYGBjBw5kri4uAuuU0rJ4cOH2bJlC3q9nhMnTlBRUYHRaMTJyQlnZ2ecnJzw9vamR48e+Pj4oNVqCQ8PZ/v27axdu5bw8HD8/PxwcnJCCIGvry+hoaHodDrCwsIICwsjKCgIX19ffH19cXd3t/OWUxTlemtsbOSzzz5jw4YN5ObmMnfuXO65556b7h8KdQjGgVpaWkhLS2Pfvn385S9/Yf/+/QwcONDRYSlXSEpJdXU1JSUl5Ofnk52dTWZmJllZWZSWlvLQQw+xYMECTp06xc6dO8nKyiIzM5PMzEyEEERHRxMZGUl0dDS9e/cmMjISV1dXnJyckFJSX1+PyWSirq6OEydOUKlIKE4AAAg5SURBVFxcjE6nY+7cuWr6c0XpwqSUbN68mRUrVrB161YiIiIYNmwYgwcP5tZbb6VXr17X5ZxdN4oqQK6Q1WpFCHFdR6xMnTqVtLQ0tm3bhlarVfMudCI1NTUsW7aMJUuW4Ofnx8iRI0lMTKR///4kJiaqUSmKolwXZrOZjIwMdu/ezZ49e9i3bx9FRUWEhIQQHx/PG2+8Qd++fTvUofwuX4Bs376dDz74gJiYGKKjo0lPT0ev1zNixAgiIiJYv349GRkZ1NXVYTQaMZlM6HQ6hg8fTmpqKoMHDyYiIgJfX98LdlK8HM8++yxff/01VquVqqoqoqOjmTx5MoGBgfj7++Pv74+3tzfOzs62i5OTEzqdTs1IeZMwGo306NFDDbVWFMVuzGYzxcXFbNiwgVdffZXa2lq8vb0JCAggNTWV1NRUKisrbSfmDA4OJiYmhpiYGGJjY22tsTdKly5AtmzZwujRo1m+fDmVlZUcO3aMgQMHEhkZaZtye8KECdx+++34+vri4+ODt7c3BQUF/Pjjj+zevZu9e/ei1+tpaGggMDAQnU5ne/NCQ0Px8fGhZ8+etr9nzj5bVlZGVVUVbm5ueHp64uXlhZeXF56enmRlZZGXl0dzczMGg4HKykpyc3Opqqr6TfyPPvoon3766XXfLoqiKErnY7FYbP3WNm7cSHZ2NhqNhuDgYPz9/SkrKyM/P992OX78OGVlZRc9+/e16NIFyOrVq1m3bh1r1qy55nU1NzdTWVmJXq+3vXknTpzAaDRiNBqpq6ujrq4ONzc3QkJC0Gg0BAYG0traSkNDAw0NDTQ2NlJfX09FRQWFhYW2CcoqKioICAhAp9Oh1WrRarWEhIQwZcqUTtkDWlEURXG8gQMH8v7775OcnHzpB1+FLj8M92oPm5zL3d3dNupg6NCh17w+q9VKeXk5ZrMZrVZ7Q5vBFEVRFOVcjjpk3GUKkI7KycnpsmbQVBRFUZTO5Po0CyiKoiiKolwBVYAoiqIoimJ3XeYQTHl5Of/5z38cHYaiKIqidCgmk8khr9slCpD4+HicnZ1ZtGiRo0NRFEVRlA4lOjoanU5n99ftEgXIgAED+OGHHxwdhqIoiqIobVQfEEVRFEVR7E4VIIqiKIqi2J0qQBRFURRFsTtVgCiKoiiKYneqAFEURVEUxe5UAaIoiqIoit2pAkRRFEVRFLtTBYiiKIqiKHanChBFURRFUexOFSCKoiiKotidkFI6OgYbIUQVUOToOOwsAKh2dBAO1JXzV7l3XV05/66cO3TN/COklIHnLuxQBUhXJITYJ6Uc5Og4HKUr569y75q5Q9fOvyvnDir/s6lDMIqiKIqi2J0qQBRFURRFsTtVgDje/3N0AA7WlfNXuXddXTn/rpw7qPxtVB8QRVEURVHsTrWAKIqiKIpid6oAURRFURTF7lQBYkdCiAeEENlCCKsQYtBZyyOFECeFEAfaLv88675kIUSWECJPCLFcCCEcE/21aS/3tvvmteWXK4QYc9byTpH7uYQQrwghTpz1fo8/674LbovORAgxti2/PCHEC46O50YTQhS27ccHhBD72pb5CSG2CCGOtf31dXSc14sQ4kMhRKUQ4tBZy9rNtzPt8+3k3qU/7xclpVQXO12ABKA3sB0YdNbySOBQO8/ZAwwFBLAJGOfoPK5z7n2Ag4A7EAXkA86dKfcLbItXgD9fYHm726KzXADntryiAbe2fPs4Oq4bnHMhEHDOsjeAF9quvwD81dFxXsd87wAGnv2d1l6+nW2fbyf3Lvt5v9RFtYDYkZTyiJQy93IfL4QIAXpIKX+Wp/fYT4D/c8MCvIEukvtE4HMpZbOU8jiQB6R0ptyvwAW3hYNjut5SgDwpZYGUsgX4nNN5dzUTgY/brn9MJ9q3pZQ7gJpzFreXb6fa59vJvT2dKveroQqQjiNKCJEhhPhRCHF72zIdoD/rMfq2ZZ2JDig56/aZHDt77nOEEJltTbZnmqPb2xadSVfI8VwSSBNC7BdCzGhbFiylLANo+xvksOjso718u8r+0FU/7xfl4ugAOhshxA+A5gJ3vSSl/Kadp5UB4VJKgxAiGVgnhOjL6UMP5+qw46avMvf2crypcj/XxbYF8B7wKqfzeRV4E5jKTZ7zZeoKOZ4rVUpZKoQIArYIIXIcHVAH0hX2h678eb8oVYBcZ1LKu67iOc1Ac9v1/UKIfKAXpyvi0LMeGgqUXo84b4SryZ3TOYaddftMjjdV7ue63G0hhHgf+K7tZnvbojPpCjn+hpSytO1vpRBiLaeb2SuEECFSyrK2w42VDg3yxmsv306/P0gpK85c74Kf94tSh2A6ACFEoBDCue16NBAHFLQ1VdYLIYa0jQCZArTXknCzWg88LIRwF0JEcTr3PZ0597Yv4DPuBc70mL/gtrB3fDfYXiBOCBElhHADHuZ03p2SEMJTCOF95jowmtPv93rg8baHPU4n2bcvor18O/0+38U/7xelWkDsSAhxL/A2EAhsEEIckFKO4XTP6YVCiFbAAvyXlPJMR6ZZwP8AHpweCbLJ7oFfB+3lLqXMFkJ8ARwGWoEnpZSWtqd1itwv4A0hRBKnm1sLgZkAl9gWnYKUslUIMQfYzOkRMR9KKbMdHNaNFAysbRtB7gL8S0r5vRBiL/CFEOKPQDHwgANjvK6EEKuBO4EAIYQeWAD8Xy6Qb2fb59vJ/c6u+nm/FDUVu6IoiqIodqcOwSiKoiiKYneqAFEURVEUxe5UAaIoiqIoit2pAkRRFEVRFLtTBYiiKIqiKHanChBFURRFUexOFSCKoiiKotjd/wdFi7Bsb+vbbAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n",
    "\n",
    "f, ax = plt.subplots(1, figsize=(9,9))\n",
    "ax = world.plot(color='white', edgecolor='black', axes=ax)\n",
    "train_gdf.plot(ax=ax, color='red');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "캘리포니아 지역의 범죄에 대한 데이터인데 엉뚱한 곳에 찍혀 있는 데이터가 있습니다. 어떤 데이터인지 확인해보겠습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>Dates</th>\n",
       "      <th>Category</th>\n",
       "      <th>Descript</th>\n",
       "      <th>DayOfWeek</th>\n",
       "      <th>PdDistrict</th>\n",
       "      <th>Resolution</th>\n",
       "      <th>Address</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>Coordinates</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>660485</td>\n",
       "      <td>2005-12-30 17:00:00</td>\n",
       "      <td>LARCENY/THEFT</td>\n",
       "      <td>GRAND THEFT FROM LOCKED AUTO</td>\n",
       "      <td>Friday</td>\n",
       "      <td>TENDERLOIN</td>\n",
       "      <td>NONE</td>\n",
       "      <td>5THSTNORTH ST / OFARRELL ST</td>\n",
       "      <td>-120.5</td>\n",
       "      <td>90.0</td>\n",
       "      <td>POINT (-120.50000 90.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>660711</td>\n",
       "      <td>2005-12-30 00:34:00</td>\n",
       "      <td>ASSAULT</td>\n",
       "      <td>INFLICT INJURY ON COHABITEE</td>\n",
       "      <td>Friday</td>\n",
       "      <td>BAYVIEW</td>\n",
       "      <td>ARREST, BOOKED</td>\n",
       "      <td>JAMESLICKFREEWAY HY / SILVER AV</td>\n",
       "      <td>-120.5</td>\n",
       "      <td>90.0</td>\n",
       "      <td>POINT (-120.50000 90.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>660712</td>\n",
       "      <td>2005-12-30 00:34:00</td>\n",
       "      <td>ASSAULT</td>\n",
       "      <td>AGGRAVATED ASSAULT WITH BODILY FORCE</td>\n",
       "      <td>Friday</td>\n",
       "      <td>BAYVIEW</td>\n",
       "      <td>ARREST, BOOKED</td>\n",
       "      <td>JAMESLICKFREEWAY HY / SILVER AV</td>\n",
       "      <td>-120.5</td>\n",
       "      <td>90.0</td>\n",
       "      <td>POINT (-120.50000 90.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>661106</td>\n",
       "      <td>2005-12-29 00:07:00</td>\n",
       "      <td>NON-CRIMINAL</td>\n",
       "      <td>AIDED CASE, MENTAL DISTURBED</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>TENDERLOIN</td>\n",
       "      <td>PSYCHOPATHIC CASE</td>\n",
       "      <td>5THSTNORTH ST / EDDY ST</td>\n",
       "      <td>-120.5</td>\n",
       "      <td>90.0</td>\n",
       "      <td>POINT (-120.50000 90.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>666430</td>\n",
       "      <td>2005-11-30 11:25:00</td>\n",
       "      <td>OTHER OFFENSES</td>\n",
       "      <td>TRAFFIC VIOLATION</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>TENDERLOIN</td>\n",
       "      <td>ARREST, CITED</td>\n",
       "      <td>5THSTNORTH ST / ELLIS ST</td>\n",
       "      <td>-120.5</td>\n",
       "      <td>90.0</td>\n",
       "      <td>POINT (-120.50000 90.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>844995</td>\n",
       "      <td>2003-06-11 08:49:00</td>\n",
       "      <td>OTHER OFFENSES</td>\n",
       "      <td>DRIVERS LICENSE, SUSPENDED OR REVOKED</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>INGLESIDE</td>\n",
       "      <td>ARREST, CITED</td>\n",
       "      <td>JAMES LICK FREEWAY HY / CESAR CHAVEZ ST</td>\n",
       "      <td>-120.5</td>\n",
       "      <td>90.0</td>\n",
       "      <td>POINT (-120.50000 90.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>845842</td>\n",
       "      <td>2003-06-09 09:25:00</td>\n",
       "      <td>OTHER OFFENSES</td>\n",
       "      <td>DRIVERS LICENSE, SUSPENDED OR REVOKED</td>\n",
       "      <td>Monday</td>\n",
       "      <td>INGLESIDE</td>\n",
       "      <td>ARREST, CITED</td>\n",
       "      <td>JAMES LICK FREEWAY HY / CESAR CHAVEZ ST</td>\n",
       "      <td>-120.5</td>\n",
       "      <td>90.0</td>\n",
       "      <td>POINT (-120.50000 90.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>852880</td>\n",
       "      <td>2003-05-02 01:00:00</td>\n",
       "      <td>SEX OFFENSES FORCIBLE</td>\n",
       "      <td>FORCIBLE RAPE, BODILY FORCE</td>\n",
       "      <td>Friday</td>\n",
       "      <td>SOUTHERN</td>\n",
       "      <td>COMPLAINANT REFUSES TO PROSECUTE</td>\n",
       "      <td>3RD ST / JAMES LICK FREEWAY HY</td>\n",
       "      <td>-120.5</td>\n",
       "      <td>90.0</td>\n",
       "      <td>POINT (-120.50000 90.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>857248</td>\n",
       "      <td>2003-04-14 16:30:00</td>\n",
       "      <td>ROBBERY</td>\n",
       "      <td>ROBBERY ON THE STREET, STRONGARM</td>\n",
       "      <td>Monday</td>\n",
       "      <td>BAYVIEW</td>\n",
       "      <td>COMPLAINANT REFUSES TO PROSECUTE</td>\n",
       "      <td>GILMAN AV / FITCH ST</td>\n",
       "      <td>-120.5</td>\n",
       "      <td>90.0</td>\n",
       "      <td>POINT (-120.50000 90.00000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>871198</td>\n",
       "      <td>2003-02-05 12:00:00</td>\n",
       "      <td>LARCENY/THEFT</td>\n",
       "      <td>PETTY THEFT FROM LOCKED AUTO</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>SOUTHERN</td>\n",
       "      <td>NONE</td>\n",
       "      <td>SPEAR ST / THE EMBARCADERO SOUTH ST</td>\n",
       "      <td>-120.5</td>\n",
       "      <td>90.0</td>\n",
       "      <td>POINT (-120.50000 90.00000)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>67 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Dates               Category  \\\n",
       "660485 2005-12-30 17:00:00          LARCENY/THEFT   \n",
       "660711 2005-12-30 00:34:00                ASSAULT   \n",
       "660712 2005-12-30 00:34:00                ASSAULT   \n",
       "661106 2005-12-29 00:07:00           NON-CRIMINAL   \n",
       "666430 2005-11-30 11:25:00         OTHER OFFENSES   \n",
       "...                    ...                    ...   \n",
       "844995 2003-06-11 08:49:00         OTHER OFFENSES   \n",
       "845842 2003-06-09 09:25:00         OTHER OFFENSES   \n",
       "852880 2003-05-02 01:00:00  SEX OFFENSES FORCIBLE   \n",
       "857248 2003-04-14 16:30:00                ROBBERY   \n",
       "871198 2003-02-05 12:00:00          LARCENY/THEFT   \n",
       "\n",
       "                                     Descript  DayOfWeek  PdDistrict  \\\n",
       "660485           GRAND THEFT FROM LOCKED AUTO     Friday  TENDERLOIN   \n",
       "660711            INFLICT INJURY ON COHABITEE     Friday     BAYVIEW   \n",
       "660712   AGGRAVATED ASSAULT WITH BODILY FORCE     Friday     BAYVIEW   \n",
       "661106           AIDED CASE, MENTAL DISTURBED   Thursday  TENDERLOIN   \n",
       "666430                      TRAFFIC VIOLATION  Wednesday  TENDERLOIN   \n",
       "...                                       ...        ...         ...   \n",
       "844995  DRIVERS LICENSE, SUSPENDED OR REVOKED  Wednesday   INGLESIDE   \n",
       "845842  DRIVERS LICENSE, SUSPENDED OR REVOKED     Monday   INGLESIDE   \n",
       "852880            FORCIBLE RAPE, BODILY FORCE     Friday    SOUTHERN   \n",
       "857248       ROBBERY ON THE STREET, STRONGARM     Monday     BAYVIEW   \n",
       "871198           PETTY THEFT FROM LOCKED AUTO  Wednesday    SOUTHERN   \n",
       "\n",
       "                              Resolution  \\\n",
       "660485                              NONE   \n",
       "660711                    ARREST, BOOKED   \n",
       "660712                    ARREST, BOOKED   \n",
       "661106                 PSYCHOPATHIC CASE   \n",
       "666430                     ARREST, CITED   \n",
       "...                                  ...   \n",
       "844995                     ARREST, CITED   \n",
       "845842                     ARREST, CITED   \n",
       "852880  COMPLAINANT REFUSES TO PROSECUTE   \n",
       "857248  COMPLAINANT REFUSES TO PROSECUTE   \n",
       "871198                              NONE   \n",
       "\n",
       "                                        Address      X     Y  \\\n",
       "660485              5THSTNORTH ST / OFARRELL ST -120.5  90.0   \n",
       "660711          JAMESLICKFREEWAY HY / SILVER AV -120.5  90.0   \n",
       "660712          JAMESLICKFREEWAY HY / SILVER AV -120.5  90.0   \n",
       "661106                  5THSTNORTH ST / EDDY ST -120.5  90.0   \n",
       "666430                 5THSTNORTH ST / ELLIS ST -120.5  90.0   \n",
       "...                                         ...    ...   ...   \n",
       "844995  JAMES LICK FREEWAY HY / CESAR CHAVEZ ST -120.5  90.0   \n",
       "845842  JAMES LICK FREEWAY HY / CESAR CHAVEZ ST -120.5  90.0   \n",
       "852880           3RD ST / JAMES LICK FREEWAY HY -120.5  90.0   \n",
       "857248                     GILMAN AV / FITCH ST -120.5  90.0   \n",
       "871198      SPEAR ST / THE EMBARCADERO SOUTH ST -120.5  90.0   \n",
       "\n",
       "                        Coordinates  \n",
       "660485  POINT (-120.50000 90.00000)  \n",
       "660711  POINT (-120.50000 90.00000)  \n",
       "660712  POINT (-120.50000 90.00000)  \n",
       "661106  POINT (-120.50000 90.00000)  \n",
       "666430  POINT (-120.50000 90.00000)  \n",
       "...                             ...  \n",
       "844995  POINT (-120.50000 90.00000)  \n",
       "845842  POINT (-120.50000 90.00000)  \n",
       "852880  POINT (-120.50000 90.00000)  \n",
       "857248  POINT (-120.50000 90.00000)  \n",
       "871198  POINT (-120.50000 90.00000)  \n",
       "\n",
       "[67 rows x 10 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_gdf[train_gdf.Y > 70]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "67"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_gdf[train_gdf.Y > 70].count()[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "총 67개의 데이터의 좌표가 잘못되어 있습니다.\n",
    "우선, 중복행은 제거를 시켜줍니다. 그리고 67개의 outlier는 평균값으로 대체합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "train.drop_duplicates(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "train.replace({'X': -120.5, 'Y': 90.0}, np.NaN, inplace=True)\n",
    "test.replace({'X': -120.5, 'Y': 90.0}, np.NaN, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "imputer = SimpleImputer(strategy='mean')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "for district in train['PdDistrict'].unique():\n",
    "    train.loc[train['PdDistrict']==district, ['X', 'Y']] = imputer.fit_transform(\n",
    "        train.loc[train['PdDistrict']==district, ['X', 'Y']])\n",
    "    # fit은 train 데이터로 해주었기때문에 transform만 적용\n",
    "    test.loc[test['PdDistrict']==district, ['X', 'Y']] = imputer.transform(\n",
    "        test.loc[test['PdDistrict']==district, ['X', 'Y']])    \n",
    "    \n",
    "train_gdf = create_gdf(train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 날짜와 요일"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "train['Date'] = train['Dates'].dt.date\n",
    "train['Year'] = train['Dates'].dt.year\n",
    "train['Month'] = train['Dates'].dt.month\n",
    "train['Day'] = train['Dates'].dt.day\n",
    "train['Hour'] = train['Dates'].dt.hour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "year_series = train.groupby('Year').count().iloc[:, 0]\n",
    "g = sns.barplot(x=year_series.index, y=year_series)\n",
    "g.set_xticklabels(g.get_xticklabels(), rotation=45);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "연도에 따른 범죄수입니다. 2003년부터 2014년까지는 범죄수가 거의 유사했지만, 2015년에 급감한 수치를 보입니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "month_series = train.groupby('Month').count().iloc[:, 0]\n",
    "sns.barplot(x=month_series.index, y=month_series);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "월에 따른 범죄수입니다. 8월, 12월에 범죄수가 가장 적었고, 5월, 10월에 가장 많았습니다. 날씨가 안 좋을 때 (더울 때 혹은 추울 때)는 범죄도 적고, 날씨가 좋을 때는 범죄도 많다는 것을 알 수 있습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "hour_series = train.groupby('Hour').count().iloc[:, 0]\n",
    "sns.barplot(x=hour_series.index, y=hour_series);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "시간에 따른 범죄수입니다. 예상대로 모두가 잠든 새벽 시간에 범죄가 가장 적고, 18시가 가장 많습니다. 아침부터 18시까지 점차 증가하는 추세를 보이는데 12시에 유독 많은 것을 볼 수 있습니다. 점심 시간, 저녁 시간 등과 관련이 있지 않나 추측해봅니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "palette = sns.color_palette()\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "date_count = train.groupby('Date').count().iloc[:, 0]\n",
    "sns.kdeplot(data=date_count, shade=True)\n",
    "plt.axvline(x=date_count.median(), ymax=0.95, linestyle='--', color=palette[1])\n",
    "plt.annotate('Median ' + str(date_count.median()),\n",
    "             xy=(date_count.median(), 0.004),\n",
    "             xytext=(200, 0.005),\n",
    "             arrowprops=dict(arrowstyle='->', color=palette[1], shrinkB=10))\n",
    "plt.title('Distribution of number of incidents per day',fontdict={'fontsize':16})\n",
    "plt.xlabel('Crime Incidents')\n",
    "plt.ylabel('Density')\n",
    "plt.legend().remove()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "하루동안 발생하는 범죄 건수는 정규 분포를 그리고 있고, 그 중앙값은 389회입니다. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "weekday_series = train.groupby('DayOfWeek').count().iloc[:,0]\n",
    "weekday_series = weekday_series.reindex([\n",
    "    'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday',\n",
    "    'Sunday'])\n",
    "\n",
    "with sns.axes_style(\"whitegrid\"):\n",
    "    f, ax = plt.subplots(1, figsize=(10, 6))\n",
    "    sns.barplot(\n",
    "        weekday_series.index, (weekday_series.values / weekday_series.values.sum()) * 100,\n",
    "        palette=cm.ScalarMappable(cmap='Blues').to_rgba(weekday_series.values))\n",
    "\n",
    "plt.title('Incidents per Weekday', fontdict={'fontsize':16})\n",
    "plt.xlabel('Weekday')\n",
    "plt.ylabel('Percent of Incients (%)');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "금요일에 범죄 건수가 가장 많고, 수요일, 토요일, 목요일 등이 그 뒤를 이었습니다"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "category_counts = train.groupby('Category').count().iloc[:, 0].sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Category\n",
       "LARCENY/THEFT                  174320\n",
       "OTHER OFFENSES                 125960\n",
       "NON-CRIMINAL                    91915\n",
       "ASSAULT                         76815\n",
       "DRUG/NARCOTIC                   53919\n",
       "VEHICLE THEFT                   53706\n",
       "VANDALISM                       44581\n",
       "WARRANTS                        42145\n",
       "BURGLARY                        36600\n",
       "SUSPICIOUS OCC                  31394\n",
       "MISSING PERSON                  25669\n",
       "ROBBERY                         22988\n",
       "FRAUD                           16637\n",
       "FORGERY/COUNTERFEITING          10592\n",
       "SECONDARY CODES                  9979\n",
       "WEAPON LAWS                      8550\n",
       "PROSTITUTION                     7446\n",
       "TRESPASS                         7318\n",
       "STOLEN PROPERTY                  4537\n",
       "SEX OFFENSES FORCIBLE            4380\n",
       "DISORDERLY CONDUCT               4313\n",
       "DRUNKENNESS                      4277\n",
       "RECOVERED VEHICLE                3132\n",
       "KIDNAPPING                       2340\n",
       "DRIVING UNDER THE INFLUENCE      2268\n",
       "LIQUOR LAWS                      1899\n",
       "RUNAWAY                          1894\n",
       "ARSON                            1512\n",
       "LOITERING                        1207\n",
       "EMBEZZLEMENT                     1164\n",
       "SUICIDE                           508\n",
       "FAMILY OFFENSES                   488\n",
       "BAD CHECKS                        406\n",
       "BRIBERY                           289\n",
       "EXTORTION                         256\n",
       "SEX OFFENSES NON FORCIBLE         148\n",
       "GAMBLING                          146\n",
       "PORNOGRAPHY/OBSCENE MAT            22\n",
       "TREA                                6\n",
       "Name: Dates, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "category_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# OTHER OFFENSES를 제일 아래 두기 위해\n",
    "category_counts = category_counts.reindex(\n",
    "    np.append(np.delete(category_counts.index, 1), 'OTHER OFFENSES'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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MZM+ePRw8eDDP3YQL6saNG8TExDB37lwaNGggybzQKpLQCyGEEKLI0tfXJzAwkNu3b5OWlkbt2rX5+uuv6dmz51u9z/Lly9m5cycWFhbMnz//rbYtxLsmS26EEEIIIYTQYvIuJiGEEEIIIbSYLLkRxdbJkycxMjIq7DCKhOTkZAwMDAo7jCJBxiKLjEUGGYcsMhZZZCyyyFhkeNfjkJycTJMmTXI8Jwm9KLZ0dHSwtLQs7DCKhOjoaBmL/0/GIouMRQYZhywyFllkLLLIWGR41+MQHR392nOyhl4UW1FRUTRo0KCwwxBCCCGEFsucmf83EvrXtS8z9KLYUqlUtGgl768WQgghxJs7fuz3wg5BEnptkLmFdU5cXV2pW7cuS5YsUcrGjx/PH3/8QZkyZVCr1UyYMEF5n+6LFy/45ptv2LdvH/r6+hgaGjJq1Cjat2+PnZ0dpUqVUrbSbtGiBZMnT2b8+PEcOXKEX375BX19feLj4+nRowe7d+/Gzc2Nb775BnNzcwBWrVpFTEwMM2fOBGDIkCGkpKTw5MkTnj17Rnx8PNWrVwdg2rRpLF26lLFjx2JlZQVAbGwsw4cPJyQkhMjISEaMGKHUBxg3bhxt2rTB0tISMzMzpbxv375s3LgRyHiXcOXKlTE0NMTc3JwFCxa8lc9BCCGEEKIokoRei125cgW1Ws3x48d59uwZJUuWVM6NHTsWBwcHjh07xtSpU9m3bx8A33zzDXFxcYSEhKCvr8/9+/f5448/lOvWr1+PiYlJtnvp6uqyZcsWja3MDQwMmDhxIjNmzGDDhg3cu3ePoKAgtm7dCsDz5895/PgxW7ZsATJ2dly7di0rV67Mdx+bN2+eY31DQ0OCg4M1yvr06QOAp6enxpcEIYQQQoj3mby2Uovt2rULV1dX2rZtS3h4eI51rK2tuXv3LgBJSUls3ryZKVOmoK+vD0DFihVxdHTM815eXl6sX7+e1NRUjfJ27dpRqVIlduzYwZw5cxg5ciTlypUDMhL4li1b/pMuCiGEEEKIPMgMvRbbvXs3a9eu5erVq/zf//0fzs7O2eocPnyYTp06AXD9+nWqVq1K6dKlX9uml5eXsuSmW7dueHt7A1C1alWaNm1KcHAwn3zyicY1EydOpGfPntSqVQt3d3eNe3fs2DHPfvj5+WFoaAhkLAnKvD/AiRMncHNzU479/f2pWbMmz58/V8qrV6/OsmXL8ryPEEIIIcT7SBJ6LXXmzBnKly/PBx98gKmpKRMnTuTx48fK7PiCBQtYuHAh8fHxBAUF5bvd1y25ARg+fDi+vr506NBBo7xKlSq0atUqW/nJkycZO3ZsnvdctGhRtjX0mQqy5EYIIYQQojiSJTdaKjQ0lKtXr2JnZ0fnzp1JSEhQ1slDxhr6/fv388UXXzB+/HgAatWqxe3bt0lISHije9aqVQtLS0t2796d7ZxKpdKYWY+JicHU1FRZ2iOEEEIIId4NSei1UHp6Onv27GHnzp2Eh4cTHh7O8uXLCQkJ0ainUqnw8vIiPT2dw4cPY2RkhIeHB7NnzyYlJQWAe/fuFWime/jw4axduzbPer/++iu2trYF65gQQgghhCgwWXKjBZKSkmjXrp1yPGjQIKpUqUKVKlWUshYtWuDn58e9e/c0rtXR0cHX15fVq1dja2vLl19+yX//+1+cnJwwMDDAyMiIzz//XKn/8hr6nF75WK9ePerXr8+5c+dyjfnw4cNMnjz5jfuc6dU19L6+vjg4OPzjdoUQQggh3heyU6x461JSUujTpw/btm0r7FByFR0dzcBBQwo7DCGEEEJoscyNpWSnWPFe0dfXL/LJPGQsXSoKu7sJIYQQQnslJydjYGBQqDHIGnpRbGU+RyAyvvWLDDIWWWQsMsg4ZJGxyCJjkaW4j0VhJ/MgCb0QQgghhBBaTRJ6UWzJKzWzvMs1f9pGxiKLjEWGNx2H5OTktxyJEELkTNbQi2JLpVLRsm2Hwg5DCPGe+uO3g4UdghCimJAZei1mbm7OvHnzlOM1a9bg7++vHAcFBeHg4ICDgwM9evTgxIkTyjlPT0+6d++uHP/vf//D09Pztfdas2YNDg4OODs74+rqyo4dO5R27O3tcXV1xcPDQ2MdnZ2dHfHx8UqsY8aMUc6lpqbSqlUrfHx8ANi2bRszZ84EwN/fn8aNG/PgwQOlvrW1tUY8+/fvx9zcnCtXrihlsbGxODs75zZkQgghhBDvHUnotZi+vj779u1TkuaXRUREEBQUxE8//cSePXuYMWMGfn5+xMXFKXXi4+M5dOhQnvfZuHEjv//+O1u2bCEkJIQNGzbw8ttOFy1axM6dO+nXr1+299ZnKlmyJJcuXeL58+cAHDlyROM9+q8qX758rhtYhYSE0KxZM8LCwvKMXwghhBDifSYJvRYrUaIEvXv3Zv369dnOrVq1ijFjxmBiYgJAgwYNcHd3Z8OGDUqdIUOGEBAQkOd9Vq5cybRp0yhdujQAZcqUoVu3btnqNWnShLt37762nXbt2nHw4EEAQkNDcXJyem1dDw8Pdu/ezaNHj7KdS0xM5OTJk8yePZvQ0NA84xdCCCGEeJ9JQq/l+vfvz65du3j69KlG+eXLl2nYsKFGWcOGDbl8+bJy3KRJE/T19Tl27Nhr209ISCAxMZGaNWvmGcvhw4fp1KnTa887OjoSFhZGcnIyFy5coHHjxq+tW7JkSbp3784PP/yQ7dyBAwewtbWldu3aGBsbExUVlWdsQgghhBDvK0notVzp0qVxc3PLMfHNiY6Ojsaxr69vnrP0r17zKj8/P9q1a8fq1asZMGDAa+tZWFgQGxtLSEgI7du3zzPWgQMHsmPHDhISEjTKX57dd3R0JCQkJM+2hBBCCCHeV5LQvwe8vLzYunUrSUlJSlmdOnU4e/asRr2oqCjq1KmjUda6dWuSk5P566+/lLIJEybg5ubGp59+SunSpTEyMiImJua191+0aBG//PILzs7OyoOtr2NnZ8eCBQtyXW6TqWzZsjg7O/PTTz8pZQ8fPuTYsWNMnjwZOzs71qxZw+7duzXW9AshhBBCFCeS0L8HjI2NcXBwYMuWLUrZ0KFDWbRoEQ8fPgQydnHbvn07/fr1y3a9r68vq1evVo7nzp1LcHAwq1atAmDYsGHMmDFDmSlPSEggKChIow09PT2+/PJLTp8+rfHmmVf16NGDESNGYG5unq++eXt7s2nTJlJTUwHYu3cv7u7uREREEB4ezqFDh6hevTp//vlnvtoTQgghhHjfSEL/nhg8eLCSvAN07NgRDw8P+vTpg4ODA5MnT2bhwoVUrlw527Xt27dXHp7NSb9+/bCxscHDwwNnZ2cGDBiAoaFhtnqGhoYMHjyYNWvWvLYtU1NTvLy88t0vExMTOnfuTEpKCpCx3ObVdfpdunRh165dAFy9epV27dop/+zevTvf9xJCCCGE0EY6almrIIqp6OhovD71LewwhBDvqfdxY6no6GjZQfj/k7HIImOR4V2PQ27ty06xothKT09/L/8PVwhRNCQnJ2NgYFDYYQghigFZciOKrcxlPAKNHX6LOxmLLDIWGd50HCSZF0L8WyShF8WWvr5+YYdQZMhPpVlkLLIUlbFITpYv30IIkRtZciOKLZVKhU0H+8IOQwiRh8iDews7BCGEKNJkhl4IIYQQQggtJgm9KLD9+/djbm6uvG8+PT2dr7/+GmdnZ1xcXPDw8FA2otqyZQsuLi64uLjg7OzMgQMHlHZSU1OxsbFh8eLFGu3b2dkRHx+vHEdGRuLj4wPAtm3bsm1e1b17d9zc3OjQoQOtWrXCzc0NNzc3bt++/U76L4QQQghRlMiSG1FgISEhNGvWjLCwMEaNGkVYWBj37t1j586dqFQq7ty5g5GREXfu3GHFihVs376dMmXKkJiYqJGoHzlyhNq1a7N7926++uordHR03iiebdu2AbB582YuXrzIpEmT3ko/hRBCCCG0gczQiwJJTEzk5MmTzJ49m9DQUADi4uKoVKkSKlXGn5OpqSnlypXjwYMHlCpVipIlSwJQqlQpatSoobQVEhLCwIEDqVq1KqdPn/73OyOEEEII8R6QhF4UyIEDB7C1taV27doYGxsTFRVF165diYiIwM3NjXnz5nHu3DkALCwsqFixIh07dmTChAmEh4cr7Tx//pyjR4/yySef4OzsrHw5EEIIIYQQBSMJvSiQ0NBQnJycAHB0dCQkJARTU1P27NmjLJvx9vbm6NGj6Orqsnr1ar799ls+/PBD5s6di7+/PwARERHY2NhgZGREly5d2L9/P2lpaa+975suxxFCCCGEeN/JGnqRbw8fPuTYsWNcunQJHR0d0tLS0NHRYezYsejr69O+fXvat29PxYoVOXDgAK1bt0ZHR4dGjRrRqFEj2rRpw8SJExk1ahShoaGcPHkSOzs7AB49ekRkZCRt2rTB2NiYJ0+eYGJiAsDjx48pX758YXZdCCGEEKLIkhl6kW979+7F3d2diIgIwsPDOXToENWrV+f48ePcvXsXyHjjzYULF6hWrRp3794lKipKuf78+fNUq1aNhIQE/vzzTw4ePEh4eDjh4eFMnTqVkJAQAGxsbAgODgYgLS2NnTt3YmNj8+93WAghhBBCC8gMvci30NBQPv30U42yLl26MH78eIyNjUlJydjN0crKigEDBnD//n3mz5/PvXv3MDAwwMTEhBkzZrBv3z5atWqlsVNrx44dWbhwISkpKYwYMYLp06fj6uqKWq3G1tYWV1dXpe727ds1Xn/5888/Y2pq+o57L4QQQghRNOmo1Wp1YQchRGGIjo7G2/fLwg5DCJGHwt4pNjo6GktLy0KNoaiQscgiY5FFxiLDux6H3NqXGXpRbKWnpxd6oiCEyFtycgoGBvp5VxRCiGJK1tCLYitziZDI+NYvMshYZCkqYyHJvBBC5E4SelFsvbyGv7iTn0qzFOZYJMuXTCGEEG9AltyIYkulUtGqk3NhhyGE4tiBkMIOQQghhBaSGXohhBBCCCG0mMzQF0GWlpaYmZmRmpqKrq4u3bp1w8vLC5VKRWRkJCNGjKBGjRo8f/6cTz75hHHjxgHg7+9PyZIlGTJkiNKWnZ0dW7ZswcTEhPv37zN37lxOnz5NuXLl0NPTY+jQoXTu3Fmp3717dzZt2oSDgwMNGjRQdnbds2cPBw8eZN68eUpdX19f4uPjCQoKUsr8/f35+eefMTEx4cWLF4wYMQJn56xZ8DVr1rB582ZKlCiBSqVi8ODBuLu7k5KSwsKFC4mIiEClUlGnTh2mTZuGgYEB3t7eANy/fx+VSqVsOLV582ZsbGw4deoUAFevXmXOnDlcu3aNEiVKYGZmxpQpU6hYseJb/oSEEEIIIYoOSeiLIENDQ2VjpQcPHjB69GiePn3K559/DkDz5s1ZuXIlz58/x93dnU6dOtGsWbNc21Sr1Xz22We4u7uzePFiAG7evEl4eLhSJzY2lsqVKytry8+ePculS5eoV69etvaePHnCuXPnKFmyJDExMdSoUUM55+3tzZAhQ7h27Rrdu3fH3t4ePT09Nm7cyO+//86WLVsoXbo0T58+Vd4nv3TpUhITE9m7dy+6urps3bqVkSNHsnnzZmUscvrCkik5ORkfHx/Gjx+v7D577Ngx4uPjJaEXQgghxHtNltwUcRUqVGDWrFls2LCBV7cMMDQ0xNLSUtmlNTfHjh1DT0+Pvn37KmUffPABnp6eyvGvv/6Kra2tcjx48GBWrFiRY3t79+7lk08+wcnJibCwsBzrfPjhhxgZGfHkyRMAVq5cybRp0yhdujQAZcqUoVu3biQlJbFt2zYmTpyIrq4uAB4eHujr63Ps2LE8+wawa9cumjRpoiTzAK1atcLMzCxf1wshhBBCaCtJ6LVAjRo1SE9P58GDBxrljx8/5vr167Ro0SLPNi5dukT9+vVzrXP48GHatWunHHft2pVz585x/fr1bHVDQ0NxdnbGycmJkJCcH+SLioqiVq1aVKhQgYSEBBITE6lZs2a2etevX6dq1apKop+pYcOGXLp0Kc++QUb/GjRokK+6QgghhBDvE0notcTLs/MnTpzAxcWFjz/+mA4dOlCpUiUAdHR0crw2p/IZM2bg6uqKh+HdUTkAACAASURBVIcHkPFO9rt372osnVGpVAwZMoSVK1dqXHv//n1u3LhBs2bNqF27NiVKlODixYvK+cDAQOzt7enVqxejRo3KNY7czqnV6lyvEUIIIYQQktBrhZiYGHR1dalQoQKQsYZ+165d7Nq1i40bNyqbvxgbGyvLWzIlJiZStmxZ6tWrx7lz55TyadOmERgYyMOHDwH4888/adq0abZ7u7m5ceLECW7fvq2UhYWF8fjxYzp27IidnR03b94kNDRUOe/t7c3evXtZunQpY8eOJTk5mdKlS2NkZERMTEy2e9SsWZNbt26RkJCgUX7u3Dnq1q2brzGqW7cuUVFR+aorhBBCCPE+kYS+iIuPj2fatGn0798/22x17dq18fHxYdWqVUBGoh8eHq4kxvv27cPc3BxdXV1atWpFcnIyP/30k3L98+fPlX//9ddfNZbbZNLT08PLy4v169crZaGhoaxevZrw8HDCw8PZunVrjuvou3TpQsOGDdm+fTsAw4YNY8aMGUp8CQkJBAUFUbJkSdzd3Zk3bx5paWkA7Nixg6SkJFq1apWvcXJxceHUqVMcPHhQo08XLlzI1/VCCCGEENpK3nJTBD1//hw3NzfltZVubm4MGjQox7p9+vRhzZo1xMTEYGFhQf/+/enXrx86OjpUqFCB2bNnAxlLWpYtW8bcuXNZvXo1JiYmGBkZ4efnB8Aff/zBF198keM9evbsSUBAAJDxJpxbt27RpEkT5XyNGjUoXbo0f/31V7ZrP/vsM0aPHk2vXr3o168fz549w8PDAz09PUqUKKH0a/To0cyfPx97e3tUKhUfffQRy5Yty/eSG0NDQ1asWMGcOXOYM2cOJUqUwNzcnEmTJuXreiGEEEIIbaWjfvXVKaLYuXPnDpMnT2b16tWFHcq/Kjo6mkGjxhR2GEIoitpOsdHR0VhaWhZ2GIVOxiGLjEUWGYssMhYZ3vU45Na+zNALTE1Ni10yD5Cenl7kEihRvCWnpGDw//eBEEIIIfJL1tCLYislJaWwQygyMh+sFoU7FpLMCyGEeBOS0ItiS1+SJ4X8VJqlsMYiWb5gCiGEeEOy5EYUWyqVitYOHoUdhhAAHN2ztbBDEEIIoaVkhl4IIYQQQggtJjP0WsbT05Nhw4Zha2urlAUGBnLt2jWGDh2Ko6MjtWvXVs4NGjQId3d37Ozs2LJlCyYmJgBERkaydu1aVq5cybZt2zh79ixTp04FMt4Bv3r1atRqNWq1Gg8PD4YMGcL48ePp0KEDDg4OSvuxsbGvvWemzz77jNjYWJ49e0Z8fDzVq1cHMja3ytx8ysrKSmlv+PDhhISEEBkZyYgRI5T6AOPGjaNNmzZYWlpiZmamlPft25eNGzcCcOPGDSpXroyhoSHm5uYsWLDgnw+8EEIIIUQRJQm9lnFyciIsLEwjoQ8LC2Ps2LFAxq6rwcHBb9z+oUOHWL9+PWvWrKFKlSokJyfn2V5e91y2bBmg+SUiv5o3b55jfUNDw2z37NOnD5DxpeflLwlCCCGEEO8zWXKjZezt7YmIiFDe0BIbG8u9e/do1qzZW2n/+++/Z+zYsVSpUgUAAwMDevXq9VbaFkIIIYQQb5/M0GuZ8uXL06hRI3799Vc6depEWFgYXbt2VXZUvXHjBm5ubkr9KVOm0Lx5cwC8vLxQqTK+wz179oyPPvooW/uXLl2iYcOGBYopt3vmh5+fH4aGhgC8ePFCiRHgxIkTGm37+/tTs2ZNZTddgOrVqyu/AgghhBBCFDeS0GuhzGU3nTp1IjQ0lDlz5ijnclv+sn79+mxr6N+Gf7rMZ9GiRdnW0GcqyJIbIYQQQojiSJbcaKFOnTpx9OhRoqKieP78OQ0aNHhrbdetW5ezZ8++tfaEEEIIIcS7JQm9FipVqhQtW7Zk4sSJODs7v9W2fXx8WLhwIXFxcUDGbqo//PDDW72HEEIIIYR4e2TJjZZydnZm5MiRLFmyRKP81fXsHh4eDBw4MN/ttm/fnvv37zNo0CDUajU6Ojp4eGRtvjRt2jRliU/VqlVZvHjxP75nbl5dQ+/r66vx2kwhhBBCiOJOR61Wqws7CCEKQ1RU1FtdriTEP5GckoKBvn5hh6EhOjoaS0vLwg6j0Mk4ZJGxyCJjkUXGIsO7Hofc2pclN6LYynz1p8j4j4TIUFhjUdSSeSGEENpDEnohhBBCCCG0mCT0otjSlxlRhfxUmiVzLJLlFxwhhBBaQh6KFcWWSqWijXPfwg5DFFG/h2ws7BCEEEKIfJEZeiGEEEIIIbSYJPTFkKenJ4cPH9YoCwwMZPr06cq/W1lZ8fTpU+V8ZGQk5ubmhIeHK2U+Pj5ERkYqbdrb2+Pi4oKDgwMzZ87kyZMnGvfYv38/5ubmXLlyRSmLjY3N8V3648ePZ8+ePQBERETg7u6Oq6srjo6ObNq0CQB/f3/Mzc25fv26Rj/Mzc353//+9yZDI4QQQgihdSShL4acnJwICwvTKAsLC1MS65CQEKysrNi/f79GHVNTU1asWPHadhctWsSuXbvYuXMn+vr6jBgxQuN8SEgIzZo1y3bv3Lx48YIpU6awYsUKdu7cyY4dO2jZsqVy3szMjNDQUOV4z5491K1bN9/tCyGEEEJoO0noiyF7e3siIiKU1zbGxsZy7949mjVrxo0bN3j27BlffvmlRqIMYGFhQZkyZThy5Eiu7evr6zNmzBhu3brF+fPnAUhMTOTkyZPMnj07W7u5SUxMJC0tDWNjY6Xtjz76SDnfqVMnfvnlFwBiYmIoU6YMJiYm+W5fCCGEEELbSUJfDJUvX55GjRrx66+/Ahmz8127dkVHR4eQkBCcnJxo3rw5V69e5cGDBxrX+vr6EhAQkOc9dHV1sbCw4O+//wbgwIED2NraUrt2bYyNjYmKispXrMbGxtjZ2fHJJ5/w1VdfsXPnTtLT05XzpUuXpmrVqly8eJGQkBAcHR3zOwxCCCGEEO8FSeiLqZeX3YSGhirLbcLCwnByckKlUtG5c2dlHXum5s2bA3DixIk87/HyJsShoaE4OTkB4OjoSEhISL5jnT17NoGBgTRq1Ii1a9cyceJEjfOOjo6EhoZy4MABOnfunO92hRBCCCHeB/LaymKqU6dOzJs3j6ioKJ4/f06DBg04f/48165dY/DgwUDGTqo1atSgf//+GtcOHz6cgIAASpR4/Z9PWloaFy9e5KOPPuLhw4ccO3aMS5cuoaOjQ1paGjo6OowdOzbf8Zqbm2Nubo6rqysdO3Zk3rx5yjk7OzsWLlxIw4YNKV26dAFHQgghhBBCu8kMfTFVqlQpWrZsycSJE5XZ+dDQUEaNGkV4eDjh4eH89ttv3L17l5s3b2pc27ZtW548eaKsj3/VixcvWLx4MVWrVsXCwoK9e/fi7u5OREQE4eHhHDp0iOrVq/Pnn3/mGWdiYqLyJh2A8+fP88EHH2jUMTQ0xM/Pj+HDhxd0GIQQQgghtJ4k9MWYs7Mz58+fV9adh4aG0qlTJ406nTt3zvEh1uHDh3Pnzh2NMj8/P1xcXHB2diYpKYnly5e/tt0uXbqwa9cuAK5evUq7du2Uf3bv3q3UU6vVrF69Gnt7e9zc3Pj222+ZO3dutnicnJxo0KDBG4yCEEIIIYR201G/vNBZiGIkKipKvgSI10pOScFAX7+wwyhU0dHRWFpaFnYYhU7GIYuMRRYZiywyFhne9Tjk1r7M0ItiK/O1nSLjPxIiQ+ZYFPdkXgghhPaQhF4IIYQQQggtJgm9KLb0ZQZWUVx/Kk2WX2mEEEK8B+S1laLYUqlUfOzuVdhhiEJ0ZMf6wg5BCCGE+Mdkhl4IIYQQQggtJgl9MTdnzhwCAwOV4yFDhjBp0iTleN68eaxbtw6AwMBArKysePr0qXI+MjKSZs2a4e7ujoODA/Pnz1fObdu2jVatWuHm5oaDg4PGfTK5urry1VdfaZSNHz8eW1tb5aHV+Ph47OzsuHDhAm5ubri5udGyZUvs7Oxwc3PD29ub9PR0vv76a5ydnXFxccHDw4OYmJi3MURCCCGEEEWaJPTFnLW1NadOnQIgPT2dhw8fcvnyZeX8qVOnaNq0KQAhISFYWVmxf/9+jTaaN2/Ojh072LFjBxERERobRjk6OhIcHMzGjRsJCAjg9u3byrkrV66gVqs5fvw4z54902hTV1eXLVu2aJSZm5sTHBxMcHAwdnZ2jB07luDgYAIDAwkLC+PevXvs3LmTXbt2sWzZMsqWLft2BkkIIYQQogiThL6Ya9q0qZLQX7p0iXr16lGqVCkeP35MSkoKV65cwdLSkhs3bvDs2TO+/PLLHDeagowdWy0tLbl79262c+XLl6dWrVrExcUpZbt27cLV1ZW2bdsSHh6uUd/Ly4v169eTmpqar37ExcVRqVIlVKqMP2lTU1PKlSuXr2uFEEIIIbSZJPTFXJUqVShRogS3bt3i1KlTNGnShEaNGnH69Gn+97//YW5ujr6+PiEhITg5OdG8eXOuXr3KgwcPsrX1+PFjrl+/TosWLbKdu3XrFsnJyZibmytlu3fvxtHREScnJ0JCQjTqV61alaZNmxIcHJyvfnTt2pWIiAjc3NyYN28e586dK+BICCGEEEJoJ0nohbLs5tSpU1hbW2Ntbc3JkyeVY4CwsDCcnJxQqVR07tyZPXv2KNefOHECFxcXPv74Yzp06EClSpWUc5nXderUiYEDB2JgYADAmTNnKF++PB988AGtW7fm3LlzPH78WCOu4cOHs2bNGvKzmbGpqSl79uzhq6++QkdHB29vb44ePfo2hkcIIYQQokiT11YKZdnNxYsXqVevHqampqxdu5bSpUvj4eHB+fPnuXbtGoMHDwYydlitUaMG/fv3BzLW0K9cuZKrV6/Sr18/OnfurLzX3NHRkalTp3Lq1Cl8fHxo164dlSpVIjQ0lKtXr2JnZwdAQkIC+/bto2fPnkpctWrVwtLSkt27d+erH/r6+rRv35727dtTsWJFDhw4QOvWrd/mUAkhhBBCFDkyQy9o2rQpERERlCtXDl1dXYyNjXn69CmnT5+mSZMmhIaGMmrUKMLDwwkPD+e3337j7t273Lx5U6Od2rVr4+Pjw6pVq7Ldw9raGldXV3744QfS09PZs2cPO3fuVNpcvnx5tmU3kDFLv3bt2jz7EBUVpazdT09P58KFC1SrVu0NR0QIIYQQQntIQi8wMzPj4cOHNG7cWKOsdOnSmJiYEBoaSqdOnTSu6dy5c44Px/bp04fjx4/n+MrITz/9lG3btnHw4EGqVKlClSpVlHMtWrTgypUr3Lt3T+OaevXqUb9+/Tz78ODBA3x9fXF2dsbV1RVdXV0GDBiQ53VCCCGEENpOR52fBcpCvIeioqJo0KBBYYchClFySgoG+voaZdHR0cqSseJOxiKDjEMWGYssMhZZZCwyvOtxyK19maEXxVbmxlUi4z8SxdGrybwQQgihjSShF0IIIYQQQotJQi+KLX2ZnVVo40+lySkvCjsEIYQQokiQ11aKYkulUtG2x7DCDkO8od+2fF/YIQghhBBFgszQCyGEEEIIocUkoRcKS0tL3NzccHV1pVu3bpw8eRKAyMhIfHx8NOqOHz9e2S3W09MTe3t7XF1d8fDw0HjAMjExkWnTptGpUyfc3d3p3r07P//8MwCxsbE4OzvnGEtqaio2NjYsXrxYo/x19xo9ejQ//fSTUu+vv/7CxcWF1NTUfzgqQgghhBBFmyT0QmFoaEhwcDA7d+7kq6++YsmSJfm+dtGiRezcuZN+/fqxYMECpXzy5MmUK1eOffv2sWPHDlavXs2jR4/ybO/IkSPUrl2b3bt38+qbVXO614QJE1izZg3x8fGkp6czc+ZMpk2bRokSsqpMCCGEEO83SehFjhISEihbtmyBr2vSpImyY+uNGzc4c+YMX375JSpVxp+aiYkJw4blvW49JCSEgQMHUrVqVU6fPp3nvSpWrMjgwYNZuHAhGzduxNzcnObNmxc4fiGEEEIIbSPTl0Lx/Plz3NzcSE5OJi4ujvXr1xe4jcOHDyu7yl66dAkLCwslmS9IHEePHmXmzJk8ffqU0NBQrK2tc70XQN++fenduzeRkZFs3bq1wLELIYQQQmgjSeiFInPJDcCpU6cYN24cISEh6Ojo5Fj/5XI/Pz+SkpJIT09n27ZtOdYPCAhgz549PHjwgN9+++21cURERGBjY4ORkRFdunRh+fLlTJgwAV1d3VzvpVKp6N27N2fPnqV8+fIF7r8QQgghhDaSJTciR9bW1jx8+JD4+HiMjY15/PixxvlHjx5pJM2LFi3il19+wdnZmZkzZwJQt25dzp8/T3p6OgC+vr4EBweTmJiY671DQ0M5evQodnZ2eHh48OjRIyIjI3O9VyaVSlXgXwSEEEIIIbSZZD4iR1euXCEtLQ1jY2M+/PBD7t27x5UrVwC4efMmFy5cyLYZkZ6eHl9++SWnT5/mypUr1KpVi4YNG/Lf//6XtLQ0AJKTk7M95PqyhIQE/vzzTw4ePEh4eDjh4eFMnTqVkJCQXO8lhBBCCFFcyZIbochcQw+gVquZP38+urq66OrqsnDhQiZMmEBycjIlSpTg66+/pkyZMtnaMDQ0ZPDgwaxZs4Y5c+Ywe/ZsFixYQOfOnTE2NsbAwAA/Pz+l/tWrV2nXrp1yPHDgQFq1aqWxi2vHjh1ZuHAhKSkpud5LCCGEEKI40lHnNl0qxHssKiqKBg0aFHYY4g0lp7zAQF/vrbcbHR2d7den4krGIoOMQxYZiywyFllkLDK863HIrX1ZciOKrVdn/IuzlzcD0xbvIpkXQgghtJEk9EIIIYQQQmgxSehFsfXyOv3irjB+Kk1OefGv31MIIYR4H8lDsaLYUqlU2PYZWdhhFFuHN31X2CEIIYQQ7wWZoRdCCCGEEEKLSUJfBAUEBODk5ISLiwtubm789ddfANjZ2REfH6/Ui4yMxMfHB4D79+/j4+ODq6srjo6OfPrppwDExsbSqFEj3NzccHR0ZOrUqaSnpxMbG4uzs7PS1pkzZ+jfvz/29vY4ODgwadIkkpKS2LZtm8bmTUFBQTg4OODg4ECPHj04ceKEcu5N4nvVnTt38PX1pUuXLnTq1Imvv/5a4+HV18UJcOjQIbp3707Xrl1xcHBg/vz5b/YBCCGEEEJoEVlyU8ScOnWKgwcPsn37dvT19YmPj+fFi7zXGn/77be0adMGLy8vAM6fP6+cq1mzJsHBwaSmpuLl5cWBAweoX7++cv7+/ft88cUXLFmyBGtra9RqNXv37s22o2tERARBQUH89NNPmJiYEBUVxWeffcbmzZupVKnSG8eXSa1WM3LkSPr27UtAQABpaWlMmTKFpUuXMm7cuFzjjImJYdasWaxcuZI6deqQmppKUFBQnuMmhBBCCKHtZIa+iImLi6N8+fLKA5smJiZUqVIlz+vu3buHqampcmxhYZGtTokSJbC2tub69esa5Rs2bMDd3R1ra2sAdHR0cHBwoGLFihr1Vq1axZgxYzAxMQGgQYMGuLu7s2HDhrcS37FjxzAwMMDDwwMAXV1dJk6cyLZt20hKSso1ztWrVzN8+HDq1Kmj9LV///55xiWEEEIIoe0koS9iPv74Y27fvo29vT3Tp0/njz/+yNd1/fv3Z9KkSXh6ehIQEMDdu3ez1UlKSuLo0aOYmZlplF+6dClfGyxdvnyZhg0bapQ1bNiQy5cvv5X4coqjdOnSVK1alevXr+ca56VLl7LFJoQQQghRHEhCX8SUKlVKWbduYmLCf/7zH7Zt2/ba+jo6OgDY2tpy4MABevXqxd9//023bt2U9ew3btzAzc2Nvn370qFDB9q3b/9WY86M4U3jy6RWq3Ns63XlQgghhBBCEvoiSVdXFxsbGz7//HOmTJnCvn37ADA2NubJkydKvcePH1O+fHnl2NjYGBcXFxYuXIiVlRXHjx8HstbQ79ixg1GjRmW7X926dYmKisozrjp16nD27FmNsqioKGWZy5vGl6levXrZ2k9ISODOnTvUrFkz1zjr1q2b7VohhBBCiOJAEvoi5u+//+batWvKcXR0NNWqVQPAxsaG4OBgANLS0ti5cyc2NjYAHD16VHnbS0JCAjdu3KBq1ar5uueAAQPYsWOH8jYdgODgYOLi4jTqDR06lEWLFvHw4UMltu3bt9OvX7+3El/r1q1JSkpix44dShvz5s2jW7duGBkZ5RrnkCFDWLlyJVevXgUgPT2ddevW5av/QgghhBDaTN5yU8Q8e/aMr7/+midPnqCrq0utWrWU10aOGDGC6dOn4+rqilqtxtbWFldXVyBjpnzWrFno6uqiVqvp2bMnjRo1IjY2Ns97VqxYkSVLljB//nwePHiASqWiRYsWdOnSRaNex44duXv3Ln369EFHR4dSpUqxcOFCKleu/MbxvUxHR4dly5YxY8YMli9fTnp6Ou3bt+err77KM85KlSoxceJERo8eTVJSEjo6Om99aZEQQgghRFGko1ar1YUdhBCFISoqKl8PA4t3IznlBQb6eoUdRjbR0dFYWloWdhhFgoxFBhmHLDIWWWQssshYZHjX45Bb+7LkRhRbL29YVdxFR0f/6/csism8EEIIoY0koRdCCCGEEEKLSUIviq3MzbsEBf6JMDkl792LhRBCCPHvkIdiRbGlUqlo7/lVYYehlQ79uKSwQxBCCCHE/ycz9EIIIYQQQmgxSeiLGHNzc8aMGaMcp6am0qpVK3x8fACUXWQh4531np6euLm50bVrV6ZMmQJAUlISo0ePxsXFBWdnZ/r27UtiYiIA1tbWAMTGxmJubs6PP/6o3GvmzJkau9KuW7cOBwcHXFxccHV1Ze7cubx4kX2phaenJ/b29ri6utKnTx/+/vtvjXI3Nzfc3Nz4/PPPAfD398fW1hY3NzccHR0JCQlR2jp9+jQ9e/ZU+uTv76+cO3DgAC4uLkpMBw4cUM6NHz8eW1tb5UHX+Ph47OzsCjz+QgghhBDaRpbcFDElS5bk0qVLPH/+HENDQ44cOUKVKlVyrDt79my8vLzo1KkTABcuXADghx9+oGLFiixevBjISPz19LK/UaRChQr88MMP9O7dO9t68o0bN/Lbb7/x888/U7ZsWVJSUggMDCQ5OTnHthYtWoSVlRVBQUEsWLCAFStWaJS/ytvbmyFDhnDt2jW6d++Ovb09enp6jBs3jm+++QYLCwvS0tKUjaLOnz/P/PnzWbt2LTVq1CAmJobBgwdTvXp1LCwsgIwddrds2aJsdCWEEEIIURzIDH0R1K5dOw4ePAhAaGgoTk5OOda7d+8epqamyrG5uTkAcXFxGl8CPvrooxwfADUxMaF169bKzqwvW7FiBdOnT6ds2bJAxgOkw4YNo3Tp0rnG3rx5c27cuJF7B1/y4YcfYmRkxJMnT4CMmfVKlSoBGQl63bp1AVizZg0+Pj7UqFEDgBo1ajBs2DDWrFmjtOXl5cX69etJTU3N9/2FEEIIIbSdJPRFkKOjI2FhYSQnJ3PhwgUaN26cYz1vb2+8vLwYOnQogYGBSlLs4eHBqlWr6N27N0uXLuXatWuvvdenn37K2rVrSUtLU8oSEhJ49uyZkjwXREREBGZmZsqxn5+fsuRm/vz52epHRUVRq1YtKlSoAGQk5Q4ODnz22Wds2rSJ5ORkAC5fvkzDhg01rrWysuLy5cvKcdWqVWnatCnBwcEFjlsIIYQQQltJQl8EWVhYEBsbS0hICO3bt39tPQ8PD8LCwnBwcCAyMpJevXqRkpKCpaUlBw4cYMiQITx+/JgePXpw5cqVHNuoUaMGjRo1YteuXRrlOjo6yr8fPnwYNzc37OzsOHnyZI7tZCbuJ0+eZNy4cUr5okWLCA4OJjg4WKM8MDAQe3t7evXqxahRo5TykSNHsnXrVj7++GNCQkIYOnQoADltaKxWqzXiBBg+fDhr1qzJsb4QQgghxPtIEvoiys7OjgULFrx2uU2mKlWq0KNHDwICAihRogQXL14EoFSpUnTp0oXp06fj6urKoUOHXtuGj48Pq1evJj09HYDSpUtjZGRETEwMALa2tgQHB1OvXr0cH4qFrMR9+fLlVK1aNc/+eXt7s3fvXpYuXcrYsWOVmXiAmjVr0q9fPwIDAzl//jwPHz6kbt26nD17VqONqKgo6tSpo1FWq1YtLC0t2b17d54xCCGEEEK8DyShL6J69OjBiBEjlHXxOfn111+VBDsuLo5Hjx5RpUoV/vzzTx4/fgxASkoKly9fplq1aq9tp06dOtSpU0dZtw8wbNgwpk+frizjUavVGkn329KlSxcaNmzI9u3bATh48KAyu379+nVUKhVly5ZlyJAhfP/998TGxgIZb+lZuXIlgwcPztbm8OHDWbt27VuPVQghhBCiKJK33BRRpqameHl55VrnyJEjzJ49GwMDAwDGjBlDpUqVOHLkCNOnTwcgPT2d9u3bY29vn2tbvr6+uLu7K8f9+vXj+fPn9OzZE319fUqVKoW1tTX169cvUD/8/PwwNDQEoHz58gQGBmar89lnnzF69Gh69epFcHAwc+fOxdDQEF1dXRYtWoSuri6Wlpb4+fnh6+vLixcv0NPTY8yYMTnucFqvXj3q16/PuXPnChSrEEIIIYQ20lHLYmNRTEVFRdGgQYPCDkMrJae8wEA/++tL3wfR0dE5flEsjmQsMsg4ZJGxyCJjkUXGIsO7Hofc2pclN6LYytyESmT8R6Ig3tdkXgghhNBGktALIYQQQgihxSShF8VWTpttFVev/oSX/Jq3GQkhhBCi6JGHYkWxpVKp6DBofGGHUSQdXDevsEMQQgghRD7JDL0QQgghhBBaTGboRb5YWlpiZmZGWloa1atXZ8GCBZQtWxaAS5cuMWvWLO7evYtarcbNzY0RI0ago6PDtm3bWLBgAVWqVCE1NZU6deowf/58jIyM8Pf35+eff8bExITk5GRsbGyYNm0ajk8l3gAAIABJREFUKpWK8ePH88cff1CmTBkAjIyM2LRpk0Z7ycnJ9OnTB29vb3777Tf8/f3ZtGkTOjo6pKWl0b17d6ZNm0bTpk0Lc+iEEEIIId4pmaEX+WJoaEhwcDAhISGUK1eODRs2APD8+XN8fX0ZNmwYe/fuJTg4mFOnTvHTTz8p1zo6OhIcHExoaCh6enqEhYUp57y9vQkODiYsLIyLFy/yxx9/KOfGjh1LcHAwwcHBbNq0KVt7GzduJCAggNu3b9O2bVuqVavGli1bAPjxxx+xsrKSZF4IIYQQ7z1J6EWBNWnShLt37wKwa9cumjZtStu2bYGMmfSpU6fy/fffZ7suNTWVZ8+eUa5cuWznXrx4QXJyco7nXqd8+fLUqlWLuLg4ACZMmMDKlSu5dOkSGzZswM/P7026J4QQQgihVWTJjSiQtLQ0jh49So8ePQC4fPlyts2ZatasybNnz0hISAAgLCyM/8fevcflfP+PH39cV0qpLG3IhuZYLe0j2qeZM6EhV+T0WchpKIfZCjkVKh9ibIyYw2Jf25yilI3PFmOOY+1QsmnMWbFG0rnr+v3RrzeXUjkk6Xm/3dy26/V+v1/v5+tVbrfn9fZ8v14nT57k+vXrvPrqq3Tu3Fk5Nzw8nKioKK5cuUKHDh30VlsJDQ0lLCwMgKZNm/Lhhx/q3efKlStkZ2djY2MDQJ06dfDy8mLQoEHMmjULCwuLJz8BQgghhBDPGHlCL8okKysLjUaDs7Mzt27dom3btgDodDpUKlWJ1xaWyBw6dIjmzZuzbt065Vhhyc3hw4fJyMggJiZGOXZvyc29yfzu3bvp1asXLi4uDBs2jOrVqyvHPD090Wq19OvX70kNXQghhBDimSYJvSiTwhr6ffv2kZubq9TQN2vWjPj4eL1zL168SI0aNTAzM9NrV6lUdO7cmR9//LFI/4aGhrRv377YY/fr2bMnMTExbNq0iYULFyolN1CwFGVpXzCEEEIIIZ4nktCLh2Jubs6sWbNYv349ubm5uLm5cfLkSQ4fPgwUPMkPDg5m9OjRxV7/008/0bBhwyLtOp2OuLi4Yo89iKOjI3369GHjxo2PNhghhBBCiOeAJPTiob322mvY2toSExODsbExK1euJCwsjB49euDm5oaDgwNDhgxRzt+9ezcajQY3NzdOnTqFj4+Pciw8PByNRkPv3r3Jz8/nnXfeUY6Fhoai0WiUPzk5OUVieffdd4mIiFDq9YUQQgghqhqVTqfTVXQQQlSEhISEIi/0igLZublUNzSs6DAqRGJiot7L2VWZzEUBmYe7ZC7ukrm4S+aiQHnPQ0n9yxN6UWUV98S/qkpMTNT7XFWTeSGEEKIykoReCCGEEEKISkwSelFlGRkZVXQIT0xObm5FhyCEEEKICiIbS4kqS61W03l0QEWH8UTsWzuvokMQQgghRAWRhF6UGzs7O5o3b658XrFiBZcvX8bHx4cGDRqQlZVF586dmTZtmt513t7epKamsnnzZqXN39+fTp064erqqrQ5OjoSFxfHpUuX6NmzJ40bNyY7OxtTU1M8PT3p27dv+Q9SCCGEEKKCSUIvyk3hZlT3unz5Mk5OTqxevZqsrCzc3d1xcXGhdevWAKSlpXHq1Clq1KjBxYsXadCgQZnu1bBhQ3bu3AkUbGw1YcIEtFotHh4eT3ZQQgghhBDPGKmhFxXG2NgYOzs7kpOTlbY9e/bQuXNnevXqxe7dux+p3wYNGuDv78/nn3/+pEIVQgghhHhmSUIvyk1WVpayKdT48eOLHL916xbnz5/njTfeUNpiYmLo3bs3vXr1Ijo6+pHvbW9vz9mzZx/5eiGEEEKIykJKbkS5Ka7kBuDEiRO4ublx7tw5xowZQ+3atQG4ceMGFy5coHXr1qhUKqpVq8Yff/xB8+bNUalUD3Vv2S9NCCGEEFWFPKEXT52TkxO7du1i165dfPnll8qmRrt37+bWrVt07dqVLl26cPnyZWJiYgCwsLAgLS1N6ePmzZvUqlXrgfc4deoUTZo0Kd+BCCGEEEI8AyShFxWmUaNGjB07ljVr1gAF5TZr164lNjaW2NhYtm/frtTR//vf/2b37t3K7q47duzA2dm52H4vXbpEaGgoQ4YMeToDEUIIIYSoQFJyIyrU4MGDWbduHRcvXuTKlSu0bNlSOdagQQPMzMz45Zdf6Ny5MwkJCXh4eKBWq2nYsCFz585Vzr1w4QLu7u7KspVDhgyRFW6EEEIIUSVIQi/KTVxcXJE2Z2dnvSfrxsbGHDx4EED577127Nih/P+ECROYMGFCkXPq16/Pr7/++iRCFkIIIYSodCShF1WWVqt9bnZYzcnNxcjQsKLDEEIIIUQFkBp6UWUV1uM/DySZF0IIIaouSeiFEEIIIYSoxCShF1WWkZFRRYdATm5eRYcghBBCiEpOauhFlaVWq+niHVKhMcSGzazQ+wshhBCi8qvUCb2dnR3NmzdXPq9YsYL69etz4sQJFixYQHp6OgAjRoxg0KBBACxfvpwtW7ZgaWlJbm4uPj4+9O7dW+njs88+Y/PmzRgaGqJSqWjTpg1+fn4YGhrSpUsXTE1NUasL/mHjjTfeYNasWfj7+3P8+HHMzc3R6XRMnz6dNm3asGTJEvLz85kyZQoAly9fZtiwYezYsYOaNWsSHR3NxYsX8fb25vvvv+fjjz8mMzMTnU5H586dmTZtGgCbN2/ms88+A8DMzAx/f3+cnJwA6NKlC9u2bcPS0hKAY8eOsX79elavXk1ERAQzZsxg586d2NraAtC7d29WrVrF+++/T05ODrdu3SIrK4u6desqczhs2LCHGifA0KFDSUlJwdjYGABvb29cXV2L/Ix69erFmDFjGDp0KFOnTmXevHklxlE4NhsbG0aMGIG/vz8A69atIyMjg4kTJwIQGRnJ2rVr0Wq1GBgY4ODgwLRp06hZs+Zj/Y4JIYQQQjzrKnVCb2xsTGRkpF7b9evX8fPzY8WKFdjb25Oamsro0aOpW7cunTp1AmD48OGMGjWKv/76i379+tGjRw8MDQ358ssv+eGHH9iyZQs1a9YkJyeH8PBwsrOzMfz/Lx1u2LBBSZ7vNXXqVFxdXTl69CgBAQHs3bsXHx8f3N3d6devH02aNCEkJIT33ntPSTIPHjzI0KFD+eOPPwgKCmL16tU0adKEvLw8Nm/eDMC+ffvYvHkzX3zxBZaWliQkJDB+/Hi2bt1K7dq1S50jKysrVq1axUcffaTXvnXrVgAiIiKIj48nICBA7/jDjLPQ4sWLcXBwKPVn9DBxFDIyMmLv3r2MGTOmSFwHDhxgw4YNrF27lrp165Kfn8+OHTu4ceOGJPRCCCGEeO49dzX0mzZtom/fvtjb2wNgaWnJlClT+PTTT4uc++qrr2JiYkJaWhoAq1atYs6cOUoSaGRkxJgxYzAzMyvz/R0dHUlOTgYKktnp06czZ84cvv/+e+7cuUOfPn0A0Ol0JCYmYm9vz9q1axk3bhxNmjQBoFq1anh6egKwZs0apkyZoiSx9vb2uLu7s2nTpjLF06lTJ5KSkjh79myZx/Cw43waqlWrxqBBg9iwYUORY6tWrWLq1KnK030DAwP69+9P48aNn1p8QgghhBAVpVIn9FlZWWg0GjQaDePHjwcgKSlJSeYLtWjRgqSkpCLXJyQkYG1tzYsvvkh6ejoZGRk0aNCgxHt6eXkp9wwPDy9y/ODBg7i4uCifO3bsiIWFBdOmTSMwMFBpP3XqFLa2tqhUKs6cOUOLFi2KvV9SUlKRYw8aT3HUajWjR49m9erVZTq/0MOOE8DPz0+55p9//gH0f0YajYbdu3c/VBz38vT0ZNeuXdy+fVuvvbifuRBCCCFEVfHcldzodDpUKlWRc+9tCw8PZ8uWLVy6dIm1a9cWe87BgwdZvHgxt2/fZvHixbRq1Qp4cClKaGgoixYtIjU1VSmXKfTOO++QlZWl98T44MGDdOjQ4SFHXPx4SjvWu3dvwsLCuHjxYpn7f5RxPkrJzcMwMzNDo9GwceNGpVb/fr///jtTp07lzp07fPDBB/Ts2fOJ3FsIIYQQ4llVqZ/QF6dp06bEx8frtcXHxyvlLFBQQ79nzx6WLl3K1KlTyc7OxszMDBMTEyXpbd++PZGRkTRr1ozc3NxS7zt16lT+97//8d577ykvbhZSq9XKC6aFDh06RNu2bR8Yc6EmTZoUOZaQkKCMx8LCQikZArh16xa1atXSO79atWqMHDmSNWvWlDqO0pQ0zqfBy8uL7du3k5mZqbQ1bdqUhIQEAGxsbIiMjKRDhw5kZWU99fiEEEIIIZ625y6h9/T0ZMeOHSQmJgLwzz//sHjxYkaPHl3k3O7du9OiRQt27NgBwJgxY5gzZ46SIOt0OrKzs8t8b7VajZeXF1qtloMHDz7wvNu3b5OXl6ck3qNGjWL16tWcO3cOAK1Wq6xqM3r0aBYvXqyUsCQmJrJjxw7eeecdAJydnZUn4Pn5+URFReHs7Fzknn379uXIkSOkpqaWeTyPO87yYGFhgaurK9u2bVPaxo4dS2hoKNeuXVPaJJkXQgghRFVRqUtuilOnTh0WLVrErFmzuHPnDjqdDi8vL7p06VLs+ePHj8fX15eBAwcqpTEDBgzAyMgIU1NTHB0dee2115Tzvby8lKftNjY2hIaG6vWnUqnw9vZm7dq1tG/fvth7Hjp0iLfeekv5bGtry4wZM/D19SUzMxOVSkXHjh0B6Nq1K8nJyQwePBiVSoWpqSmLFi2iTp06APj4+DBnzhz69OmDTqejffv2you39zIyMmLo0KGEhJRt3fUnMU64W0NfqH379vj5+ZUphgcZOXKk3kvBHTt2JDU1lXfffZf8/Hxq1qxJs2bNaNeu3WPdRwghhBCiMlDpdDpdRQdR1cycOZMBAwbQsmXLig6lSktMTGT8sogKjeFZ2VgqMTEROzu7ig7jmSBzcZfMRQGZh7tkLu6SubhL5qJAec9DSf0/d0/oK4OyPiUX5Uur1VZ4Qp2Tm4eRofw1FEIIIcSje+5q6IUoq5ycnIoOQZJ5IYQQQjw2SeiFEEIIIYSoxCShF1WWkZFRhd07Jzevwu4thBBCiOeL/Hu/qLLUajVdJy6qkHt/t3xKhdxXCCGEEM8fSejLQVhYGNHR0cqGUvPmzeNf//oXQ4cOJSUlRdnl1NrammXLlgGwc+dO1q5di06nQ6fT4eHhwahRo9DpdISFhbFz505UKhV16tQhICCAZs2aAdClSxfs7e1Zvnw5AN988w379+9nwYIFREREEBoaipWVFRkZGTRo0IDx48cru94C5OXl0bZtWwYOHIivr6/SXhhr9erVMTQ0JDg4GDs7O3x9fWndurWyDv4vv/zCrFmz2LFjB9Wq3f11ys3N5eOPP2bv3r0YGRlhbGzMxIkT6dixI7dv3yYoKIiffvoJgFatWjF79mzMzc25dOkSPXv2pHHjxmRnZ2Nqaoqnpyd9+/YFUMZUt25d5V4ffvghjRs3Zv78+Rw9ehSVSoWRkREfffQRDRo0eOI/XyGEEEKIZ4kk9E9YXFwc+/fvZ8eOHRgZGZGamqq30+zixYtxcHDQu+b7779nw4YNrFu3jrp165Kdna1sFrVp0ybi4uKIjIzExMSEH374AW9vb2JiYqhevTpQsBPumTNnlCT/Xj179iQgIACAo0ePMnHiRDZu3KjsNHvo0CEaNWrE119/zQcffIBKpSoS6/bt2wkNDeWzzz5j+vTpDBo0CFdXVywsLJg3bx6BgYF6yTzAxx9/zPXr14mOjsbIyIgbN25w/PhxoGDZzmbNmilr2y9btoyZM2cqX24aNmzIzp07Abh48SITJkxAq9Xi4eFRZEyFoqOjSUlJISoqCrVazbVr1zAxMSnzz00IIYQQorKSGvon7Pr169SqVUupz7a0tNR7mlycTz/9lKlTpyrnVa9enYEDBwKwZs0aZs+erSSn7dq1w9HRkaioKOX6kSNHsmrVqlJje/PNNxk4cCCbN29W2qKjoxk2bBj16tXj559/Lva6li1bkpycDMBLL73EyJEjWbRoEV9++SU2NjY4OTnpnZ+ZmcnWrVuZPXu2Mg8vvfQSPXv25Pz588THx+Pj46OcP378eOLj47lw4UKRezdo0AB/f38+//zzEsd2/fp1ateurWyGZWVlxQsvvFDqnAghhBBCVHaS0D9hbdu25erVq/To0YM5c+YoT6UL+fn5odFo0Gg0LFy4EIAzZ87QokWLIn2lp6eTmZlJw4YN9dpbtGhBUlKS8vntt9/m1KlTnD9/vtT47O3tOXv2LFCwi+uRI0fo3LkzvXv3JiYmpthrDh48iIuLi/L5P//5D0lJSaxbt44pU4rWgp8/f5569ephZmZW5FhSUhJ2dnYYGBgobQYGBtjZ2XHmzJlSYwbYvXu3MocajYasrCzefvtt9u3bh0ajYcGCBZw6darUuRBCCCGEeB5Iyc0TZmpqSkREBCdOnODYsWO8//77+Pr60q9fP6D4kpuHpdPp9Epj1Go1o0aNYvXq1XTo0KHUawvt27cPZ2dnTExM6N69OytXrmT69OlKsu3n50dmZiZarZaIiLs7qqrVagYNGkR8fDy1atV6rNhLa78/Zii+5MbKyopvvvmGI0eOcPToUYYPH87HH39MmzZtHio+IYQQQojKRp7QlwMDAwOcnZ2ZNGkSs2fPZu/evSWe37RpU+Lj44u0m5mZYWJiwsWLF/XaT506pdTAF9JoNJw4cYKrV6+WeK97r42JieHIkSN06dIFDw8Pbt68ybFjx5RzFy9ezHfffUfv3r2ZN2+eXj+FL/wWx9ramqtXr5Kenl7kWLNmzTh16hRarVZp02q1nD59usiYShpvcYyMjOjYsSPTpk1j7NixfPvtt6VeI4QQQghR2UlC/4SdPXuWv/76S/mcmJjIyy+/XOI1Y8eOZdGiRVy/fh0o2MF048aNAIwaNYrg4GCysrIAOHz4MCdPnsTNzU2vD0NDQ7y8vNiwYcMD73P8+HG2bNnCwIEDSU9P5+TJk+zfv5/Y2FhiY2MJCAggOjq6SL+TJ0/m559/5s8//yzTHJiYmODh4UFISIiyG2tKSgqRkZFYW1vz2muvsXLlSuX8lStXYm9vj7W1dZG+Ll26RGhoKEOGDCnxngkJCUqdv1ar5ffffy913oUQQgghngdScvOEZWRkEBwcTFpaGgYGBlhbW+s93fbz81OWraxVqxbh4eF07NiRGzduMGLECKX0pHBFl6FDh5KWloabmxtqtZratWuzcuVKpY97DRgwgLCwML223bt3c/LkSbKysqhfvz7Lli2jSZMmRERE8Oabb+ptrtS1a1cWLVqkJOGFjI2NGTlyJOvWrWP+/PllmofJkyfz0Ucf0atXL6pXr46JiQmTJk0CICQkhKCgILp164ZOp6Nly5aEhIQo1164cAF3d3dl2cohQ4Yo83HvmAoFBgaSnp7O7NmzldgdHBxK/RIghBBCCPE8UOnuL1AWoopITExkwsro0k8sB8/axlKJiYnY2dlVdBjPBJmLu2QuCsg83CVzcZfMxV0yFwXKex5K6l+e0IsqS6vVVlhinZObh5Gh/PUTQgghxOOTGnpRZd1fWvQ0STIvhBBCiCdFEnohhBBCCCEqMUnoRZV17wvB5S0nN++p3UsIIYQQVYv8u7+ostRqNS7vf/xU7vXt0veeyn2EEEIIUfXIE/pKaP78+YSHhyufR40axcyZM5XPCxYs4LPPPuPSpUu8/vrraDQa5c/OnTuV806dOoWNjQ0HDx7U69/Ozg6NRkPv3r2ZNGkSmZmZAFy7dg1vb2+6d++Oi4sLwcHBSh36sWPHsLGxITY2Vuln7NixehtVFfL39+ebb74pdmzh4eE4ODhw+/Ztpc3d3Z3ExEQA8vLyaNmyJZGRkcrxfv36kZCQwI0bNxg7dix9+vShZ8+evPvuu6XOpRBCCCFEZScJfSXk6OhIXFwcULBSyz///ENSUpJyPC4ujlatWgHQsGFDIiMjlT/u7u7KedHR0bRu3ZqYmBi9/o2NjYmMjCQ6OhpDQ0O++uordDodEyZMwMXFhb1797Jnzx4yMjJYunSpcp2VlRWrVq16rLFFR0fj4ODA//73P73x/vTTTwCcPn2aRo0aKePPyMjg4sWL2NrasmzZMt566y2ioqLYvXs3vr6+jxWLEEIIIURlIAl9JdSqVSsloT1z5gzNmjXD1NSUW7dukZOTw59//lnqOqg6nY49e/awYMECfvjhB7Kzs4s9z8nJifPnz3P06FGqV6+ubPBkYGDAjBkziIiIUJ7g29raYm5uzqFDhx5pXBcuXCAjI4PJkyfrfcm4d7xxcXEMHjyY06dPA/Drr7/y2muvYWBgQEpKClZWVsp1tra2jxSHEEIIIURlIgl9JVS3bl2qVavGlStXiIuLo2XLlrz++uv8/PPP/Pbbb9jY2CgvfF64cEGv5ObEiRMAnDx5kvr169OwYUOcnZ35/vvvi9wnLy+PAwcO0Lx5c86cOYO9vb3ecTMzM+rVq8f58+eVNm9v7yK71ZZVdHQ0vXr1wsnJiXPnzvH3338D+v8iERcXh5OTE4aGhqSnp+v9a4SnpyczZ85k6NChhIWFkZyc/EhxCCGEEEJUJpLQV1KFSW5cXByOjo5KWUrh50L3l9w4OTkBEBMTQ69evQDo2bMn0dF3d0zNyspCo9Hg4eHByy+/TP/+/dHpdKhUqiJx3N9e2H/hF4eHsXv3bnr16oVaraZbt25KnX39+vXJzc3l+vXrnD17lsaNG+Pg4MCvv/6qN9727dvz7bffMnDgQM6ePUvfvn1JTU196DiEEEIIISoTWeWmkiosQ/njjz9o1qwZVlZWrF+/HjMzM6Us5kHy8/PZu3cvsbGxrFq1Cp1Ox82bN0lPT8fMzEypob9Xs2bN2Lt3r15beno6165do2HDhty8eVNpHzduHGFhYVSrVvZfr9OnT/PXX38xcuRIoGDTpwYNGuDp6QlAy5Yt2bNnD7Vr10alUtGyZUt++uknfv31V1q2bKn0Y2FhgZubG25ubowdO5Yff/yRHj16lDkOIYQQQojKRp7QV1KtWrVi3759vPDCCxgYGGBhYcHt27f5+eef9RLc4hw+fBhbW1u+//57YmNj2bdvH927d+fbb7994DVt2rQhMzNTWSUnPz+fBQsW0LdvX0xMTPTObdeuHWlpaUqde1nExMQwceJEYmNjiY2N5YcffiA5OZnLly8r4w0PD1fG1rJlS3bu3Ent2rWpWbMmAEeOHFHq+dPT07lw4QL16tUrcwxCCCGEEJWRJPSVVPPmzfnnn3/417/+pddmZmaGpaWl0nZ/Df3GjRuJiYnBxcVFr7/u3bvrld3cT6VSsWLFCr755hu6d+9Ojx49qF69Oh988EGx548bN45r1649sL/AwEA6dOhAhw4dGDRoULExdevWTXk5tlWrVly8eFEpr6lTpw5arVavvCghIQEPDw/c3NwYPHgwAwYM4PXXX39gDEIIIYQQzwOVTqfTVXQQQlSExMREJn66t/QTn4BnfWOpxMTEUldGqipkLu6SuSgg83CXzMVdMhd3yVwUKO95KKl/qaEXVZZWq31qiXZObh5GhvLXTQghhBBPnpTciCqrcJfbp0GSeSGEEEKUF0nohRBCCCGEqMQkoRdVVuHmW+UhJzev3PoWQgghhLiX1AGIKkutVtNtyqPtalua/y3yLpd+hRBCCCHuJwl9JWdnZ0fz5s3Jz8+ncePGLFy4EBMTE732+vXrExoaqqzXfubMGYKCgkhOTkan06HRaPDx8UGlUnHjxg1mzpzJ1atXycvL45VXXsHPz4+pU6cCcPXqVczMzDA3N6dWrVoEBwczbtw4pk2bxuLFi4GCpTLr1KmDsbExNjY2vPnmm8THxxMQEKDEPXToUKZOncq8efPIycnh1q1bZGVlUbduXQBWrFjBsGHD2LZtG5aWlly7do25c+fy559/otVq6dSpE1OnTsXIyIhjx44xbNgwwsLC6NKlCwBjx45l5MiRODs7P80fhxBCCCHEUyclN5Vc4a6u0dHRGBoa8tVXXxVpf+GFF9i0aRMAWVlZeHt7M2bMGPbs2UNkZCRxcXF88cUXACxbtoy33nqLqKgodu/eja+vLzY2NkRGRhIZGUmXLl2YOnUqkZGRhIeHK3G0b99eOadFixYsXryYyMhIQkNDS4x/69atREZGMmnSJHr27Kn0Ub9+feUcnU7HhAkTcHFxYe/evezZs4eMjAyWLl2qnGNlZcWqVaue1LQKIYQQQlQaktA/R5ycnDh//nyR9pYtW5KcnAzArl27aNWqFe3atQPAxMSEgIAAPv30UwBSUlKwsrJSrrW1tX0KkZfs6NGjVK9eHQ8PDwAMDAyYMWMGERERys6wtra2mJubc+jQoYoMVQghhBDiqZOE/jmRl5fHgQMHaN68uV57fn4+R44cUUpRkpKSsLe31zunYcOGZGRkkJ6ejqenJzNnzmTo0KGEhYUpXwQq0pkzZ4rEbGZmRr169fS+wHh7exMWVj418UIIIYQQzypJ6Cu5rKwsNBoNHh4evPzyy/Tv31+v3dnZmVu3btG2bVugoHxFpVI9sL/27dvz7bffMnDgQM6ePUvfvn1JTU19rBgfdL+S4rjXg2K+v93JyQmAEydOPEKUQgghhBCVkyT0lVxhrXxkZCSzZ89WlmIsbN+3bx+5ublKDX2zZs2Ij4/X6+PixYvUqFEDMzMzACwsLHBzc2PRokU4ODjw448/PlaMFhYW3Lp1S6/t5s2b1KpVq0zXFxdzeno6165do2HDhnrt48aNk6f0QgghhKhSJKF/zpmbmzNr1izWr19Pbm4ubm5unDx5ksOHDwMFT/KDg4MZPXo0AEeOHFHq0tPT07lw4QL16tV7rBgcHByIi4vj+vXrAPz222/k5OSUud82bdqQmZnJzp07gYJMX0NTAAAgAElEQVQyogULFtC3b19MTEz0zm3Xrh1paWmcPn36sWIWQgghhKgsZNnKKuC1117D1taWmJgY3N3dWblyJcHBwcydOxetVotGo2HIkCEAJCQkEBQUhIGBATqdjgEDBvD6668/1v1feuklZsyYwZgxY9BqtdSoUYMlS5agVpft+6RKpWLFihXMnTuXlStXotVq6dixIx988EGx548bNw4fH5/HilkIIYQQorJQ6XQ6XUUHIURFSExMZNL6/eXSd2XbWCoxMRE7O7uKDuOZIHNxl8xFAZmHu2Qu7pK5uEvmokB5z0NJ/csTelFlabXacku8c3LzMDKUv15CCCGEKH9SQy+qrJycnHLrW5J5IYQQQjwtktALIYQQQghRiUlCL6qswiU+y0NObl659S2EEEIIcS+pCxBVllqtpvv0deXS997/jiqXfoUQQggh7icJvSjWP//8w/DhwwG4ceMGarUaS0tLAE6fPo2trS35+fnUr1+f0NBQatasyaVLl+jZsyeNGjVS+hkxYgTu7u5s27aNDRs2AAU7vE6ePBkXFxf8/f05fvw45ubmqNVqAgICcHR0BCAvL4+2bdsycOBAfH19lT737dvHxx9/jFarJS8vj2HDhjF48GDOnj1LYGAgaWlp5OTk4OTkRFBQ0FOaMSGEEEKIiiEJvShWrVq1iIyMBGD58uXUqFGDUaMKnjo7Ojoqx6ZNm8amTZvw9i5YLaZhw4bKsULXrl1j1apV7NixA3Nzc+7cuUNqaqpyfOrUqbi6uvLDDz8QEBDArl27ADh06BCNGjXi66+/5oMPPkClUpGbm8vs2bPZtm0bVlZW5OTkcOnSJQBCQkLw8vLCxcUFgN9//70cZ0gIIYQQ4tkgNfTisbRs2ZLk5OQSz/n7778xNTWlRo0aAJiamtKgQYMi573xxhtcuHBB+RwdHc2wYcOoV68eP//8MwB37twhPz8fCwsLoKAOvnHjxgCkpKRgZWWlXG9jY/N4gxNCCCGEqATkCb14ZPn5+Rw5coT+/fsrbRcuXECj0SifZ8+ejaOjIy+99BJdu3alTZs2dOvWjS5duhTpLzY2lubNmwOQlZXFkSNHmDdvHrdv3yYmJgZHR0csLCzo0qULnTt3pk2bNnTq1InevXujVqsZPnw4Xl5eODo60q5dO/r160fNmjXLfyKEEEIIISqQJPTioWVlZaHRaLh8+TL29va0bdtWOVZcyQ3A2rVr+e233zhy5Aj//e9/SUhIYOLEiQCEhoYSFhaGpaUlISEhQEGdvLOzMyYmJnTv3p2VK1cyffp0DAwMCAkJ4ffff+fIkSOsX7+ew4cPs2DBAjw8PGjXrh0HDx7ku+++46uvviIqKqpcV7MRQgghhKhoUnIjHpqxsTGRkZHs27eP3NxcNm3aVOo1KpWK119/nbFjx7JkyRL27t2rHJs6dSqRkZF89tlnyhP6mJgYjhw5QpcuXfDw8ODmzZscO3ZMucbGxobhw4ezfv169uzZo7TXrVuX/v37ExYWRrVq1fjjjz+e4MiFEEIIIZ49ktCLR2Zubs6sWbNYv349ubm5DzwvOTmZhIQE5fPp06d5+eWXH3h+eno6J0+eZP/+/cTGxhIbG0tAQADR0dHcuXNHL7E/ffo0r7zyCgAHDhxQ4rh+/To3b96kbt26jztMIYQQQohnmpTciMfy2muvYWtrS0xMDE5OTkVq6D08POjatSsLFy4kJSWF6tWrY2lpydy5cx/Y5969e3nzzTf1SmW6du3KokWLmD59OmvXriUgIABjY2NMTEz473//CxSsihMSEkL16tUBmDJlCrVr1y6nkQshhBBCPBtUOp1OV9FBCFEREhMTeW/j4XLpu7JtLJWYmIidnV1Fh/FMkLm4S+aigMzDXTIXd8lc3CVzUaC856Gk/uUJvaiytFptuSXeObl5GBnKXy8hhBBClD+poRdVVk5OTrn1Lcm8EEIIIZ4WSeiFEEIIIYSoxCShF1XWo65Pn5Ob/4QjEUIIIYR4dFIXIKostVpNj9n/99DX7QkaUg7RCCGEEEI8Gknon6KwsDCio6NRq9Wo1WrmzZvHp59+yqVLl8jIyCA1NZX69esDEBgYSIsWLVi0aBH79u1DrVbTpEkTAgMDsbKyAsDR0ZG4uDi9eyxfvpwtW7ZgaWmptH3++eckJiYybNgwwsLC6NKlCwBjx45l5MiRODs76/Xh7+/P8ePHMTc3R61WExAQgKOjo167Tqdj+vTptGnTBiioRy8pVjs7O5o3b05+fj6NGzdm4cKFmJiYKO2FevXqxZgxYxg6dKiyzKWhoSHBwcHY2dkxYMAAcnJyuHXrFllZWco6802bNqV169a88847APzyyy/MmjWLHTt2UK2a/JoLIYQQ4vklmc5TEhcXx/79+9mxYwdGRkakpqaSm5vLihUrADh27Bjr169n9erVyjULFy7kzp077NmzBwMDA7Zv386ECRPYunUrKpXqgfcaPnw4o0YVXb3FysqKVatWKQl9SaZOnYqrqys//PADAQEB7Nq1S6/96NGjBAQEKDu+Ll26tMRYC3eXBfD19eWrr75ixIgReu33W7x4MQ4ODmzfvp3Q0FA+++wztm7dCkBERATx8fEEBAQAcOPGDQYNGoSrqysWFhbMmzePwMBASeaFEEII8dyTGvqn5Pr169SqVUup27a0tCxxF9PMzEwiIiKYMWMGBgYGQMEmTUZGRhw9evSRYrC1tcXc3JxDhw6V+Zo33niDCxcuFGl3dHQkOTn5kWJ1cnLi/PnzZY6hZcuWyr0e5KWXXmLkyJEsWrSIL7/8EhsbG5ycnMp8DyGEEEKIykoS+qekbdu2XL16lR49ejBnzhyOHz9e4vnnz5+nXr16mJmZ6bW3aNGCM2fOlHhteHg4Go0GjUbD0KFD9Y55e3sTFhZW5rhjY2P1SmIKHTx4EBcXl4eONS8vjwMHDih9ZmVlKbFqNBp2795d4r1K8p///IekpCTWrVvHlClTyjxGIYQQQojKTOoRnhJTU1MiIiI4ceIEx44d4/3338fX15d+/fo98Jriymp0Ol2J5Tbw4JIbQHlqfeLEiRL7CA0NJSwsDEtLS0JCQvTaFy1aRGpqKps3by5zrIWJe2EM/fv3Byix5MbPz4/MzEy0Wi0RERElxgsFL7kOGjSI+Ph4atWqVer5QgghhBDPA0nonyIDAwOcnZ1xdnamefPm7Ny584EJfcOGDbly5Qrp6el6T75PnTpVphr4kowbN46wsLAS68sLa+WLa+/evTsbN27E39+fiIiIMsVaUuL+IIsXL8bW1pYPP/yQefPm8cknn5R6TeELx0IIIYQQVYVkPk/J2bNn+euvv5TPiYmJvPzyyw88v0aNGri7u7NgwQLy8wvWPd+5cyeZmZm8+eabjxVLu3btSEtL4/Tp0490vVqtxsvLC61Wy8GDB8s1VkNDQyZPnszPP//Mn3/++Vh9CSGEEEI8j+QJ/VOSkZFBcHAwaWlpGBgYYG1tzbx580q8xtfXl4ULF9KjRw/UajWNGzdmxYoVShlLZmYmHTp0UM4fMWIEUFBDHxUVpbQXrqRzr3HjxuHj4/PI41GpVHh7e7N27Vrat29faqwPcm8pDkD79u3x8/PTO8fY2JiRI0eybt065s+f/8gxCyGEEEI8j1Q6nU5X0UEIURESExOZ/MXJh77uedxYKjExETs7u4oO45kgc3GXzEUBmYe7ZC7ukrm4S+aiQHnPQ0n9yxN6UWVptdpHSs5zcvMxMjQoh4iEEEIIIR6e1NCLKisnJ+eRrpNkXgghhBDPkjIl9IUvOgrxPCnc5Oth5eTJ3wchhBBCPDvKVHLTrVs3evTogYeHB02bNi3vmIR4KtRqNa5ztzz0dd8EDiyHaIQQQgghHk2ZntBHRUXRqFEjZs2axcCBA9m8eTPp6enlHZsQQgghhBCiFGV6Qm9mZsbAgQMZOHAgP/74Ix988AH//e9/6dGjBz4+PlhbW5d3nE9EWFgY0dHRyuZD8+bN41//+hdDhw4lJSUFY2NjAKytrVm2bBnBwcHUqlWL8ePHK9enpKQQGBhYpO/Nmzfz2WefAQXz5e/vr+zKen//3t7euLq6YmdnR/PmzZU+VqxYweXLl/Hx8aF+/fpK+7Rp03jrrbewsbFhxIgR+Pv7A7Bu3ToyMjKYOHEiZ8+eJTAwkLS0NHJycnByciIoKIhjx449sL8Hzce9/P39OX78OObm5gB4eHgwbNgwbt++TVBQED/99BMArVq1Yvbs2Zibm3Pp0iV69uxJo0aNyM3NpUWLFoSEhGBoaAjAr7/+ysKFC7lx4wYqlYrWrVsza9Ysvv76a+Lj4wkICGD58uVs2bIFS0tLsrOzcXZ2JjAwELVajb+/P506ddLb+OreexYaMWIE7u7uZf8FEUIIIYSohMqU0Ofn57N//34iIiK4fPkyI0eOxM3NjRMnTjBmzBj27NlT3nE+tri4OPbv38+OHTswMjIiNTWV3Nxc5fjixYtxcHDQu2by5MloNBr69OkDwNatW9m5c2eRvvft28fmzZv54osvsLS0JCEhgfHjx7N161Zq1679wP6L2z318uXLODk5sXr16iL3MTIyYu/evYwZMwZLS0u9YyEhIXh5eeHi4gLA77//rhwrrr/S5uNexe0aO3PmTJo1a0ZoaCgAy5YtY+bMmSxbtgwo2Ok2MjKS/Px8RowYwddff02fPn24ceMG7733HkuWLMHR0RGdTseePXu4c+dOkfsOHz6cUaNGodVq8fT05Pjx4yVuVFV4TyGEEEKIqqRMCX337t1xdnZm1KhRtGrVSml3dXXlxIkT5Rbck3T9+nVq1aqlvAh5f0JcHDMzM95//31lA6hJkyZRs2bNIuetWbOGKVOmKH3a29vj7u7Opk2bmDx58hMbQ7Vq1Rg0aBAbNmzg/fff1zuWkpKClZWV8tnGxqbEvh5lPgqdP3+e+Ph4li5dqrSNHz+ebt26ceHCBdTqu5VcBgYGvP766yQnJwOwadMm3N3dcXR0BAo2qLr/y8L9cnNzyc7O5oUXXihzjEIIIYQQVUWpNfT5+fn07duX+fPn6yXzhWbNmlUugT1pbdu25erVq/To0YM5c+Zw/PhxveN+fn5oNBo0Gg0LFy5U2nv37k1aWhrp6ekPLN9ISkqiRYsWem0tWrQgKSmp2P7/+ecf4O4uqRqNRinrAThx4oTSrtFouHDhgnLM09OTXbt2cfv2bb37DR8+HC8vL0aPHk14eDhpaWkl9lfafNwrNDRUufb3338nKSkJOzs7DAzuLt9oYGCAnZ0dZ86c0bs2OzubX375hfbt2wNw5swZ7O3tH3ive4WHh6PRaGjXrh2NGjUqdbOGCxcu6I2zsnzZFEIIIYR4HKU+oTcwMODYsWNMmDDhacRTbkxNTYmIiODEiRMcO3aM999/H19fX/r16wcUXxIDcO3aNa5fv45KpeLOnTuYmpqW+Z4qlUr5/7KW3EDxJTKFzMzM0Gg0bNy4UanJh4La9nbt2nHw4EG+++47vvrqK6Kiokrsr6T5uNf9JTcXL17UG1shnU6ntBcm1+fPn6dHjx7Y2toWO56SFJbc5ObmMmnSJGJiYujVq9cDz5eSGyGEEEJURWVa5aZVq1bMmzePEydOkJCQoPypbAwMDHB2dmbSpEnMnj2bvXv3lnpNSEgIEydO5O233+aTTz4p9pwmTZoQHx+v15aQkECTJk2eSNz38/LyYvv27WRmZuq1161bl/79+xMWFka1atX4448/SuznUeYDoFmzZpw6dQqtVqu0abVaTp8+rYy5MLneu3cvP//8M9999x0ATZs2fejfHUNDQ9q3b8+PP/74UNcJIYQQQlQFZUrof/rpJ86cOcPHH3/MggULWLBggV5ZSmVw9uxZ/vrrL+VzYmIiL7/8conXfP/99/z999+4u7vj4+PDt99+q1dGU2j06NEsXrxYKaVJTExkx44dvPPOO090DIUsLCxwdXVl27ZtStuBAweUl1qvX7/OzZs3qVu37gP7eJT5KGRtbc1rr73GypUrlbaVK1dib29fZMWjOnXq4Ofnx6effgrAkCFD2LlzJ7/88otyTmRkJNevX3/g/XQ6HXFxcTRs2LBM8QkhhBBCVCVlein2888/L+84yl1GRgbBwcGkpaVhYGCAtbW18rIrFNS4F5aw1KpVi9WrVzN//nyWLVuGSqWiRo0aTJkyhXnz5rFx40a9vrt27UpycjKDBw9GpVJhamrKokWLqFOnziPFWljzXqhwmct7jRw5kk2bNimfDx06REhICNWrVwdgypQp1K5dm7NnzxbbX/369Uucj9KEhIQQFBREt27d0Ol0tGzZkpCQkGLPdXFxYfny5Zw4cQInJyeWLFnCwoUL+fvvv1Gr1bzxxht07969yHXh4eFERUWRl5eHjY2N3hekwMBA5s+fD0C9evX48MMPlTKfQoVLbAohhBBCPM9UOp1OV9pJt2/f5pNPPlFKHv79738zfvx4ZW1yISqjxMRE3t/y20Nf9zzuFJuYmFjqS8dVhczFXTIXBWQe7pK5uEvm4i6ZiwLlPQ8l9V+mJ/QzZsygWbNmfPzxx0BBicT06dMfWFMuRGWg1WofKTnPycvHqJpB6ScKIYQQQjwFZUroL1y4wPLly5XPEyZM0CttEKIyysnJeaTrJJkXQgghxLOkTC/FGhsb663pffLkSb0lE4WojAo31XpYOXn5TzgSIYQQQohHV6Yn9HPmzGHatGmkp6ej0+l44YUXWLBgQXnHJkS5UqvV9AzZ+dDX7Z5Z/AZjQgghhBAVoUwJvZ2dHVFRUaSnpwMFmxsJIYQQQgghKl6ZEvrPPvusSJuZmRktWrR47t5qtrOzo3nz5uTl5WFgYEDfvn3x8vJCrVZz7Ngx1q9fz+rVq7lx4wYzZ87k6tWr5OXl8corr7BmzRoAzpw5Q1BQEMnJyeh0OjQaDT4+PqhUKiIiIggNDaVu3bpkZ2czePBghg8fDsDy5cvZsmULlpaWZGZm0rx5cyZPnkzTpk0BGDp0KCkpKUq5k7W1NcuWLdO7Ljc3Fx8fH3r37g2Av78/nTp1Upa9zMzMxN3dnRUrVij9rlq1ipSUFAICAvTmIjk5mfnz53Pq1CkMDQ2pX78+M2fOxNramt9//53g4GBSUlLQ6XT069ePcePGAbB161Zmz57Nrl27aNasGQCurq6Eh4djZWVFhw4deOGFF9DpdOh0Orp37463tzdGRkYcPnyY//u//9Nb497Pzw9XV1dcXFzIzc1l6dKl/O9//6N69eqYmJgwadIkli5dSn5+Prdu3SIrK0tZg3/VqlXUq1fvif+eCCGEEEI8K8qU0MfHxxMfH0/nzp0B2L9/Pw4ODnz11Ve4urry7rvvlmuQT5OxsTGRkZEA/P333/j6+nL79m0mTZqkd96yZct466238PLyAuD06dMAZGVl4e3tzZw5c2jXrh2ZmZlMnDiRL774Ak9PTwB69uxJQEAA//zzD66urvTo0UNJOocPH86oUaMA2L17N15eXuzatQtLS0sAFi9ejIODQ5G4C6/766+/6NevHz169MDQ0LDIeSYmJkyfPp25c+fy+eefc+XKFbZv305ERITeeTqdjvHjxzNo0CBldaOEhARu3LhBnTp18PHxITg4mDZt2pCRkcGECROwsLBg8ODBAFhZWbFq1So+/PDDYud506ZN1KxZk/T0dGbNmsWcOXOUdeVLsmTJEm7evElMTAxGRkakpKTw008/KfFv3bqVP/74g5kzZ5balxBCCCHE86BML8XevHmTiIgI/P398ff3Z/v27aSmprJp0yZ27NhR3jFWmBdffJGgoCA2bdrE/cv1p6SkYGVlpXy2tbUFYNeuXbRq1Yp27doBBQl0QECAslPqvWrVqoW1tfUDd0nt2bMnbdu2ZdeuXWWO+dVXX8XExIS0tLQHntOpUydeeOEFoqKimD9/Pu+9916RPQUOHTpEjRo1GDBggNJmb29P69atiYyM5N///jdt2rQBoEaNGsyaNUtvjC4uLpw6dYrz58+XGK+ZmRlBQUF8/fXX3L59u8Rz09PTiYiIYNasWcoLrXXq1Cmy6ZYQQgghRFVSpoT+ypUrek97DQ0NuXLlCsbGxo+8Ukhl0aBBA7RaLX///bdeu6enJzNnzmTo0KGEhYWRnJwMQFJSEvb29nrnNmzYkIyMDOUdhEJXrlwhOzsbGxubB97/tdde4+zZs8pnPz8/NBoNGo2GhQsXFjk/ISEBa2trXnzxxRLHNXPmTEJDQ7lz545SnnOvM2fOFBlHoaSkJFq0aKHX1rhxY27evElmZiYAKpWKUaNGsXr16hLjADA3N+eVV14pNfk/f/489evXx9TUtNQ+hRBCCCGqijKV3PTu3ZtBgwbRtWtXAGJjY+nVqxcZGRk0adKkXAN8FhS3mW779u359ttvOXjwIAcOHKBv375ER0ej0+lQqVQl9rd7926OHTvGuXPnCAoKonr16mWO5UElN+Hh4WzZsoVLly6xdu3aUvupV68ezs7O9OjRo8z3LlSGzYUB0Gg0fPrpp1y5cqXMfZY2d0IIIYQQQl+ZntCPHz+eoKAgzM3NMTMzY+7cuUyYMIEaNWo8sEb6eXHx4kUMDAyKfeJtYWGBm5sbixYtwsHBgR9//JFmzZoRHx9fpI8aNWooqwP17NmTmJgYNm3axMKFCx9YcgNw6tSpMn1pGj58OHv27GHp0qVMnTqV7OzsUq9RqVSo1cX/CjRt2pSEhIQHHrt/jOfOncPCwgITExOlzdDQEC8vr1K/YNy+fZurV6/y6quvYmFhUaRc6NatW0p50qVLl8jIyCh1bEIIIYQQVUWZEnooeNnTzMyM4cOH88orr3Dx4sXyjOuZkJqaSmBgIJ6enkWeHB85ckQpL0lPT+fChQvUq1cPNzc3Tp48yeHDh4GCeQsODmb06NFF+nd0dKRPnz5s3Lix2Pvv2bOHQ4cOFVsS8yDdu3enRYsWj/1uQ7t27UhPT2fbtm1K2y+//MKJEyfQaDQcO3aMo0ePAgUr5zxojAMGDODAgQPcunWr2Pukp6czZ84cXF1dMTMzo3Hjxly5coVz584BBV+GkpKSsLGxwczMDHd3d+bPn09ubi5QsBJPVFTUY41VCCGEEKIyK1PJzSeffEJ8fDznzp3Dw8OD3NxcpkyZwldffVXe8T11WVlZaDQaZdlKjUbDiBEjipyXkJBAUFAQBgYG6HQ6BgwYwOuvvw7AypUrCQ4OZu7cuWi1WjQaDUOGDCn2fu+++y79+vVj7NixQEHpTFRUFJmZmTRr1owNGzYoK9xAQQ194bKVtWrVIjw8vEif48ePx9fXl4EDBwIQGBiorCBTr149Nm/eXOo8qFQqwsLCCAkJYdWqVRgbG1O/fn1mzJhBjRo1lDEGBgai1Wrp27cv//nPf4r0Y2RkhKenZ5GNyApX/NFqtXTr1g0fHx8AqlevzsKFC5k6dSo5OTkYGhoyf/585V83fH19Wbp0KT179sTY2BgTExPee++9UscjhBBCCPG8UunKUBCt0WjYuXMnffv2ZefOgp013dzcHmr1FSGeNYmJifhG/P7Q1z2PO8UmJiY+d3tKPCqZi7tkLgrIPNwlc3GXzMVdMhcFynseSuq/TE/oDQ0NUalUStmJ1DCL54FWq32k5DwnLx+jagblEJEQQgghxMMrU0L/9ttvExAQQFpaGlu2bGH79u1665MLURnl5OQ80nWSzAshhBDiWVKmhH7UqFEcOnQIU1NTzp07x6RJk2jbtm15xyZEuXqUPRTk6bwQQgghnjVlSugXLVrElClT9JL4wjYhKiu1Wo1m4cO9BxI5za2cohFCCCGEeDRlWraycAnGex04cOCJByOEEEIIIYR4OCU+of/iiy/48ssvuXjxIm5ud59M3rlzh1atWpV7cKJ4dnZ2NG/eXFlas2/fvnh5eaFWqzl27Bg+Pj40aNCArKwsOnfuzLRp0wBYvnw5NWrUYNSoUUpfXbp0Ydu2bVhaWmJjY8OIESPw9/cHYN26dWRkZDBx4kS9a7Ozsxk3bhytW7dmwoQJSjyFevXqxZgxYxg6dCh37twhIiICgN9++43Q0FA+//xzjh07xrBhwwgLC6NLly4AjB07lpEjR+Ls7MzQoUNJSUlRlui0trZm2bJlnD17lsDAQNLS0sjJycHJyYmgoCAyMzOZNWsWf/zxBzqdDnNzc9auXYupqelT+ZkIIYQQQlSUEhN6Nzc3OnTowJIlS/D19VXaTU1NsbCwKPfgRPGMjY2JjIwE4O+//8bX15fbt28zadIkAJycnFi9ejVZWVm4u7vj4uJC69atS+3XyMiIvXv3MmbMGL217++Vk5PDxIkTsbe3Z8KECUXiuV9qairff/89HTt2LHLMysqKVatWKQn9/RYvXoyDg4NeW0hICF5eXri4uADw++8Fy05u3LiRl156Sdm5+OzZsxgaGpY6ZiGEEEKIyq7Ekhtzc3Pq16/PkiVLeOWVVzA2NkalUpGRkcGVK1eeVoyiBC+++CJBQUFs2rSJ+7cUMDY2xs7OjuTk5DL1Va1aNQYNGsSGDRuKPZ6fn88HH3yAtbU1fn5+Zepz1KhRhIWFFXvM1tYWc3NzDh06VKa+AFJSUrCyslI+29jYAHD9+nXq1q2rtDdu3PiRXnoVQgghhKhsylRDHxsbS/fu3enatStDhgyhS5cuvPvuu+UdmyijBg0aoNVq+fvvv/Xab926xfnz53njjTfK3Jenpye7du3i9u3bRY6tXbsWAwMDZs6cqddeuLtu4Z/du3crx1q2bImRkRFHjx4t9n7e3t4PTPj9/PyUPhcuXAjA8OHD8fLyYvTo0YSHh5OWlgaAh4cHa9asYdCgQSxdupS//vqrzGMWQgghhKjMyrTKzUcffcTmzZsZMWIEO3fu5OjRo8TExJR3bOIh3Pt0/sSJE7i5uTz3pnYAACAASURBVHHu3DnGjBlD7dq1AZSNwe53b7uZmRkajYaNGzcq9euFWrVqxc8//8y5c+do1KiR0l5SyQ3cTdqLe6rv5OSkxHy/4kpuPDw8aNeuHQcPHuS7777jq6++IioqCjs7O7799lsOHTrE4cOH6d+/P5s3b6ZJkyYPjEsIIYQQ4nlQpif01apVo1atWmi1WrRaLW+++SaJiYnlHZsoo4sXL2JgYMCLL74IFCTJu3btYteuXXz55ZfKz8rCwkJ5ol3ozp071KxZU6/Ny8uL7du3k5mZqdf+xhtvMGPGDN59990yl/EAtGnThuzsbH755Zdij48bN+6BT+mLU7duXfr3709YWBjVqlXjjz/+AAre7ejevTtz5syhT58+fP/992XuUwghhBCisipTQl+zZk3u3LnDG2+8gZ+fH8HBwVSrVqaH+6KcpaamEhgYiKenZ5En8I0aNWLs2LGsWbMGKEj0Y2NjSU9PB2Dv3r3Y2NhgYKC/UZKFhQWurq5s27atyP169OjBqFGjGD16dJEvByXx9vZm7dq1xR5r164daWlpnD59utR+Dhw4QG5uLlBQN3/z5k3q1q3LyZMnuXXrFlDw4m5SUhIvv/xymeMTQgghhKisSszKz58/z40bN1i5ciXGxsZMnz6dXbt2cfnyZWbNmvW0YhT3KaxZL1y2UqPRMGLEiGLPHTx4MOvWrePixYvY2tri6enJ/2PvzuOqqvb/j7/OQREVu6il6XWonDg4K35Ni1RCRSBwqlsa14G+Ig5dS0Qqh0zt65SWpoiJqWVd00gUcMjhWpGSmFkqXqdyujkUXg1l5vz+4MfGI4NIKiLv5+Ph4+Fea++1P3uhj8fnLD5nrwEDBmAymahZsybTp08v8LqhQ4eyatWqAvteeOEFfvvtN4KCgli2bJkRTy43N7d85TVdunQp9M05kLNKP2LECJu24OBgo+ynevXqLF++nLi4OKZPn06lSpUAGDduHA899BBxcXG8+eabAGRnZ9OlSxd69uxZ6P1ERERE7hcm642vRrlOYGAgr7zyCs7OzjbtP/30EwsXLmTx4sV3PECROyUxMZHQ9cdu6Zr7dafYxMRELBZLaYdxT9Bc5NFc5NA85NFc5NFc5NFc5LjT81DU+EWu0J89ezZfMg/QsmVLzp49e3uiEykl2dnZt5ygp2dmYV/B7uYnioiIiNwlRdbQp6WlFdqXmpp624MRuZvS09Nv+Rol8yIiInKvKTKhb9myJZ999lm+9jVr1tC8efM7FpTI3VDcjafSM7PucCQiIiIiJVdkyc3rr7/OqFGj2LBhg5HAHzhwgIyMDN5///27EqDInWI2m+k/5+b7KawN9r4L0YiIiIiUTJEJ/YMPPsg///lPdu/ezdGjR4Gct5V06tTprgQnIiIiIiJFK9bL5B9//HEef/zxOx1LmWKxWGjatClZWVnUq1ePWbNm8cADD3DmzBm8vLxsdlIdMmQIvXv35urVq8ycOZNvv/2WSpUq4eTkREhICK1bt+bcuXNMmTKF48ePk52dTdeuXQkJCSEzM5Nu3bqxdetWqlWrZow5YsQIfHx8SE1NZdasWdSuXdvoe+edd3BwcDDiyMjIoEWLFkyfPp2KFSsSHx/PiBEjqFevnnHN+PHj6dy5s/Fcua/E7NOnD4MGDcJstq3Ocnd3Z+nSpTz22GNG2/Tp06lVqxatWrUqdPy2bduyb98+oz0yMpIDBw4wadIkFixYQJUqVQgICAAgIiKCNWvWUKFCBcxmM0OHDqV37974+/sTEhJis4tsUc8kIiIicj/T7lAl5ODgQFRUFJCTOK5atYqgoCAAGjRoYPRdb8KECdSrV48tW7ZgNps5ffo0x48fx2q1MmrUKF544QXCwsLIyspi4sSJzJs3j/Hjx/PEE0+wdetW+vTpA8Aff/zB3r17eeedd9i4cSNeXl5MmjTJ5l5nzpwx4sjKymLIkCFs3LgRX19fIGeTqfDw8CKf6/fff2fs2LH88ccfvPzyyzbneXt7Exsby6hRo4CcN8Zs3ryZTz/9lDNnzhQ6fnF9+umnfPvtt6xduxZHR0f++OMPtm7dWuQ1f/aeIiIiImVRsXaKlaK1adOG8+fPF3nOqVOn2L9/P2PGjDFWu+vXr0/Xrl3ZvXs3lSpVol+/fgDY2dnx+uuvExkZSUpKCt7e3sTE5NV6f/nll7i5uVG5cuVixWdnZ0erVq1uGuONatasydSpU1m1ahU3bldwY0x79uzhr3/9K3/9619v6R6FCQ8PZ/LkyTg6OgJQrVo14wONiIiIiOTRCv2flJWVxa5du+jfv7/RdurUKZudUydOnMjly5exWCzY2eV/7eHRo0fzvTXI0dGROnXqcPLkSdzc3JgwYQKXLl2ievXqxMTE4O/vb5wbGxvL3r17jePVq1fbjJWWlsb+/ft54403jLaEhASbGBcsWECDBg3yxVa/fn2ys7P5/fffefDBB412Z2dnzGYzhw8fxtnZmZiYGHx8fG46/o27yl6+fBl3d3ebeyYnJ3P16tUC4ylKcZ9JRERE5H6ihL6EchPTs2fP0rx5c5544gmjr6CSm23bthU6ltVqxWQyFdpub2+Pu7s7mzdvpkePHhw+fNjmfgWV3EDeB4uTJ0/Ss2dPm03CbqU8pbDNhHNX6Rs3bsz27dv5xz/+cdPxry/pgbwa+hsVNB83o5IbERERKY9UclNCuYnpjh07yMjIYNWqVUWe36RJEw4fPkx2dnaBfTcmtcnJyZw7d85YYfbx8SEmJobNmzfz9NNPU7FixZvGmPvBYsuWLfzwww9FfqgozOnTp7Gzs6NmzZr5+nx8fNi4cSPffvstzZo1K/CcknB0dKRy5cqcPn36townIiIicj9TQv8nVatWjQkTJrBs2TIyMjIKPa9Bgwa0aNGC+fPnGyvev/zyC1u3bqVTp06kpKSwbt06IKeMZ8aMGfTp08eok+/YsSMnT57kk08+wdv71t6LXqtWLYKDg1myZMktXZeUlMTkyZMZOHBggSvmDRo0wMnJiXfeeeeWY7qZYcOGMWXKFJKTk4GcDzg3lhKJiIiIiEpubgsXFxejjtzV1TVfDX2/fv34+9//zvTp05kxYwbdu3encuXKODk5MW7cOEwmEwsXLmTKlCksWrSI7OxsunTpwquvvmqMYTab6dGjB5s2baJDhw4297+xhn7y5MnUqlXL5hwPDw8WLFhAQkICkL/ePCgoCE9PT6OUKPe1lX5+fgwZMqTQZ/fx8eGdd96he/fuNu2FjV9cAwYM4Nq1a/Tr14+KFStSoUIFmzgCAwOpUCHnn2+bNm0YOHDgn76niIiISFlkshZWIC1ynzt48GC+LyMXJD0zC/sK+b/MfD9JTEzEYrGUdhj3BM1FHs1FDs1DHs1FHs1FHs1Fjjs9D0WNr5IbKbfS09OLdd79nsyLiIhI2aaEXkRERESkDFNCL+WWvb19kf3pmVl3KRIRERGRktOXYqXcMpvNvPDuxkL7Px3T6y5GIyIiIlIyWqEXERERESnDlNCXM23btjX+vnPnTnr06MF//vMfFixYQEREBAChoaG4u7vj6+tLz549CQkJ4fz588Z17u7ujB492jjetGkToaGhNvcJCgrib3/7m03bggULcHNzw8/PDx8fH2Ojq6Lar4/Jzc3N+CJrUlIS7u7uxti//PILgYGBeHh40LdvX/z9/dmzZ8+fni8RERGRe50S+nJq165dTJ06laVLl1K3bt18/SEhIaxfv55Nmzbh4uLC3//+d5u3whw4cICjR48WOPaVK1c4dOgQV65cybfb6+DBg4mKiuK9997j9ddfN3bOLaz9enZ2dqxduzZfe1paGoGBgTz33HNs3bqVyMhIJk6cqJ1mRUREpFxQQl8OJSQkMGHCBMLDw2nQoEGR55pMJgYPHsyDDz7IV199ZbQPHTqUxYsXF3jN5s2b6datG97e3sTGxhZ4TqNGjahQoQKXLl0qVjvAoEGDWLFiBZmZmTbt69evp02bNjz99NNGW9OmTenbt2+RzyYiIiJyP1BCX86kp6czYsQIFi5cSKNGjYp9nYuLCydOnDCOe/XqxaFDhzh58mS+c2NiYvDx8cHb25vo6OgCx9u/fz8mk4kaNWoUqx2gTp06tGvXjqioKJv2Y8eO4eLiUuxnEREREbmfKKEvZypUqEDbtm0LLF0pyo0bCpvNZgICAggPD7dp/+233zh16hTt27fn0UcfpUKFChw5csToX758OX5+fsycOZN3330Xk8lUZPuNhg8fTkRERL54rjdy5Eh8fHwYNWrULT2jiIiISFmk11aWM2azmXfffZchQ4awePFihg8fXqzrEhMT6dSpk02bn58fS5YsoUmTJkZbbGwsly9fNspfkpOTiYmJoWnTpkBOrXxAQEC+8Qtrv1HDhg2xWCxs3Jj3usnGjRuTkJBgHC9cuJCffvqJWbNmFevZRERERMoyrdCXQ5UrV2bx4sVs2LCBNWvWFHmu1Wpl5cqVXLx4ETc3N5u+ihUrGnXtuWJiYli6dCnbt29n+/btfP7554XW0ZfU8OHDWbZsmXH8zDPP8P333xtvxwFITU29rfcUERERuVdphb6ccnJyYunSpQwcOJDq1avn6581axaLFi0iNTWV1q1bs3LlygJ3Vn322WcJCwsD4MyZM/znP/+hTZs2Rn/9+vVxdHRk//79ty32Jk2a4OLiwqFDhwBwcHBg8eLFzJgxg7fffpsHH3yQqlWrEhQUdNvuKSIiInKvMlmLKkYWuY8dPHiQ5s2bF9qfnpmFfQW7uxhR6UlMTMRisZR2GPcEzUUezUUOzUMezUUezUUezUWOOz0PRY2vkhspt65/r35ByksyLyIiImWbEnoRERERkTJMCb2UWwV9JyBXembWXYxEREREpOT0pVgpt8xmM39/f0uBfStH9bjL0YiIiIiUjFboRURERETKsDu2Qm+xWGjatCmZmZnY2dnRp08fBg0ahNlsJj4+nhEjRlC/fn1SU1Pp1q0b48ePByAyMpIDBw7Qs2dP5s6dy+rVq40xMzMzeeqpp1i3bh1z586la9eueHp64u/vz9WrV4mMjAQwNhX66KOPAPjxxx+ZPXs258+fp2rVqjz00EOMHTuWZs2a2cS8YMECqlSpYrPBkbu7O2vXrqVGjRo0a9aMIUOGEBoaCkBERATXrl1j9OjRLFiwgM8++4waNWqQkpJC06ZNGTNmDI0bNwbA39+fCxcu4ODgAORskDR//nyb6zIyMhgxYgQ+Pj42cYWFhbFp0yYAjhw5YmzS1K9fPy5fvlxkzLk/h1ze3t4MGzbMZvzQ0NBizWXuz61evXoAVK9eneXLlxc4b2fOnGH48OFER0cXOL+hoaF89913VKtWDch5N/4///lPIiMjef3111m3bh3Ozs4A+Pj4sHjxYurVq8fVq1eZOXMm3377LZUqVcLJyYmQkBBat25drGcVERERud/csYTewcGBqKgoAH7//XfGjh3LH3/8wcsvvwyAq6sr4eHhpKam0rt3bzw8PGjfvr1xfYcOHTh37hxnzpwxEshvv/2WJk2aUKtWrXz3S0pKYufOnXTp0sWm/bfffmPMmDHMmTOHdu3aAZCQkMDp06fzJfQ3Y29vz5YtWxg2bBg1atTI13/9bqexsbEMGjSIDRs2GOfOmTOHli1bFnrdL7/8Qt++fenZsycVK1Y0+oOCgox3qrdt29aYV8hJkoty/c+huAqbS8j7ud0OISEheHp65mt/+OGHWbx4Me+++26+vgkTJlCvXj22bNmC2Wzm9OnTHD9+HCjZs4qIiIiUdXel5KZmzZpMnTqVVatWceNr7x0cHLBYLJw/f942MLMZT09Pm11GY2Nj861e5woICDA2OLrexx9/TO/evY1kHnKSUg8Pj1t+jgoVKvC3v/3NZmfUwnh5efHEE0+wYcOGYo//yCOPULlyZa5cuXLLsd1Ohc3l3dK1a1eOHTvGiRMnbNpPnTrF/v37GTNmDGZzzj/d+vXr07Vr11KIUkREROTecNdq6OvXr092dja///67Tfvly5c5efIkHTp0yHeNt7e3kdCnp6ezc+dOevQo+MuKbdq0wd7ent27d9u0Hzt2DBcXl9v0FDBw4EA2bNjAH3/8cdNzXVxcbJLS4OBg/Pz88PPzY+bMmfnOP3jwIA0bNqRmzZq3FNPy5cuNcf38/Lhw4YLRl5qaatN3/QekwhQ2l5Dz243csf5s0j9r1ixjrLFjxxrtZrOZl156Kd9vAo4ePYrFYsHOruD3w5fkWUVERETKurv6lpvrV+cTEhJ45pln+Pnnnxk2bBgPPfRQvvNbtWrFtWvXOHHiBCdOnKB169b85S9/KXT8oKAgwsLCCA4OLvScZ599luTkZJ544gkmTJhg02cymQq85vp2R0dH/Pz8WLlypVEPX1yFldwsX76czz77jDNnzrB06dJbGhNsS30gp4Y+V0nLUAqby+KW3BRnLgsruYGcuvmwsDBOnz5d7JhVciMiIiLl0V1boT99+jR2dnbG6rOrqysbNmxgw4YNfPrppyQmJhZ4nZeXF7GxscTExBRabpOrU6dOpKWlsX//fqOtcePGHDp0yDhes2YN//jHP0hOTs53vZOTU75yl6tXr/LAAw/YtA0aNIjPP/+clJSUIuM5dOgQjRo1KvIcyEnIN2/ezLx58wgJCSEtLe2m19xpBc3lrXBycuLy5cs2bZcvX6Z69erFur5ChQoMHTqUDz74wGhr0qQJhw8fJjs7u0QxiYiIiNyP7kpCn5SUxOTJkxk4cGC+ldtHH32UwMBAm8Ttej4+Pqxfv57du3fbrDwXJigoyGaVe+DAgXzxxRd8//33RltqamqB17q6urJ9+3Yj2d+yZQvNmjXLV+Lh5OSEp6cna9euLTSOzZs3ExcXd9MPIdfr0aMHLVq04Isvvij2NXfSjXN5K3LfJrRr1y4A/vvf//L111/bfPH5Zvr06cOuXbtISkoCoEGDBrRo0YL58+cbv+355Zdf2Lp1a4liFBEREbkf3LGSm9x65tzXVvr5+TFkyJACz33++eeJiIgosLyicePGODg40Lx5c6pUqXLT+3bp0sXmDTQPPfQQ8+bNY86cOZw/f56aNWvi5OTEyJEj813r7OzMwIEDGTBgACaTiZo1azJ9+vQC7zN06FBWrVpl07Z8+XLWr19PSkoKTZo0YcWKFTaxBAcHG2U6ua98vNHIkSMZO3Yszz33nPHFzz8j9+eQy83NrciSpOvdOJdFCQsLs/my8FdffcWsWbOYMmUKM2bMAHKerUGDBsY5s2bNsqnDX7Nmjc2Y9vb2+Pv72/wMpk+fzowZM+jevTuVK1fGycmJcePG/elnFRERESmrTNYbXzsjUk4cPHiQ5s2bF9iXnpmFfYWCv3x7P0pMTMRisZR2GPcEzUUezUUOzUMezUUezUUezUWOOz0PRY2vnWKl3EpPTy+0rzwl8yIiIlK2KaEXERERESnDlNBLuWVvX6nA9ozMrLsciYiIiEjJ3dX30IvcS8xmEy8tzv+GnKXDb30XYREREZHSohV6EREREZEyTAn9faZt27b52hYsWEBERASQs1vvokWL6NGjBz179uTFF1/k8OHDhV4fGRnJW2+9ZRyvXr0aT09PPD096d+/PwkJCUafv78/PXv2xNfXl379+hW6WZi/vz8//fRTgX3Tpk3Dzc3N2DzKarXSsWNHY5OqCxcu0KxZM5v7Pv7441y6dIkTJ07g7++Pn58fvXr1YuLEiUXOlYiIiMj9QCU35cyqVavYt28fUVFRVK5cmW+++YagoCBiYmJu+p7/HTt2sHr1aj755BNq1KjBwYMHGTlyJGvWrOGhhx4CYM6cObRs2ZLPP/+cWbNm8eGHHxY7tuzsbLZu3UqdOnXYs2cPHTt2xGQy0bp1a3744Qe6dOnCvn37cHFxYd++fbi6unLixAmqV69O9erVCQ4OZtCgQXh45JTM/Pvf/y75RImIiIiUEVqhL2c++OADJk6cSOXKlQF48skncXV1ZcOGDcW6dty4ccZmU82bN6d37975NtgCaNOmDefPn7+l2OLj42nSpAkvvPACMTExRnu7du2MnX737dvH4MGD+eGHH4zj3N8qXLhwgYcffti4rlmzZrd0fxEREZGySAl9OZKcnExKSorNbq0ALVq04NixYze9/tixY7Ro0aJY13799dfGSnlxRUdH4+3tTffu3dmxYwcZGRlAThnQvn37APjxxx/x8PDg119/BXIS+nbt2gEwePBgBg0axEsvvcTy5cu5cuXKLd1fREREpCxSQi/cbLNgk8lU7P7g4GCeeuopli5dyosvvljsGNLT09m5cyceHh44OjrSunVr4uLiAGjVqhWJiYlcu3aNzMxMqlatSv369Tl58qTNCn2/fv2IjY3F09OT+Ph4nnvuuSI3jxIRERG5HyihL0ccHR2pXLkyp0+ftmk/dOiQsfJeqVIlmyT48uXLVK9eHYBGjRpx4MABm2sPHjxIo0aNjOM5c+awbds2fHx8bL5MezNff/01ycnJ+Pr64u7uzt69e4mOjgagcuXKNGjQgM8//xwXFxcgp6Rn586d/P777zz22GPGOLVr16Z///6EhYVRoUIFjhw5UuwYRERERMoiJfTlTEBAANOmTSM1NRWAb7/9lmPHjuHp6QnA//zP/7B+/XoAUlNT2bhxIx07dgTgpZdeYs6cOVy6dAmAxMREvvjiCwYMGGBzj4oVKzJmzBh++OEHjh8/Xqy4YmJimDZtGtu3b2f79u1s27aNuLg4UlJSgJw6+hUrVtCmTRsgJ6FfuXIlbdq0MX5D8NVXXxllOhcvXuS///0vtWvXLvFciYiIiJQFesvNfSYlJYWnnnrKOB4yZIhNv7+/P1euXMHX15fMzEzS09OJjo6mUqWcXVPfeOMNJk2axEcffYTVaqV379506NABgKeffprz58/z/PPPYzKZqFq1KrNnz6ZWrVr54nBwcGDo0KFERETw9ttv5+sPDAykQoWcf35t2rRh9+7dNiv6VapUoX379uzYsQMvLy/atWvHypUrjfKa5s2bc+7cOZ599lnjmri4OKZPn248y7hx44y374iIiIjcr0zWmxVQy33r6tWrjBo1ipYtW/Lqq6+Wdjh33cGDh2je3CVfe0ZmFhUr2JVCRKUnMTERi8VS2mHcEzQXeTQXOTQPeTQXeTQXeTQXOe70PBQ1vlboy7GqVave0nvi7zfp6WkFtpe3ZF5ERETKNtXQi4iIiIiUYUropdyyt69UYHtGZtZdjkRERESk5FRyI+WW2Wwi6IPt+drD/te9FKIRERERKRmt0IuIiIiIlGFK6KVAFosFPz8/fHx8GD58OFeuXAEgPj6ewMBAm3NDQ0PZtGkTkPNazL59+xp9P/30E/7+/jbnT5s2DTc3N7Kzs4GcnWo7duzI5cuXAbhw4QLNmjUjISHBuObxxx833n8P4Ovra/NmntWrVzNmzBjjODk5GQ8Pj3ybaImIiIjcb5TQS4EcHByIiooiOjqav/zlL6xatarY1yYlJbFz584C+7Kzs9m6dSt16tRhz549AJhMJlq3bs0PP/wAwL59+3BxcWHfvn0AnDhxgurVqxs71h4/fhyr1cqePXu4du0aAM899xznzp3j22+/BeC9996jX79+1K9fv2QTICIiIlJGKKGXm2rTpg3nz58v9vkBAQGEhYUV2BcfH0+TJk144YUXiImJMdrbtWvH999/D+Qk9IMHD7ZJ8HM3lALYsGEDvr6+PPnkk2zfnlMDbzKZePPNN3n77bf56aef2L17NwEBAbf8rCIiIiJljRJ6KVJWVha7du3C3b34XxRt06YN9vb27N69O19fdHQ03t7edO/enR07dpCRkQFA27ZtjRX5H3/8EQ8PD3799VcgJ6Fv166dMcbGjRvx8vLC29ub6Ohoo93Z2Zknn3ySwYMH88Ybb2Bvb1+iZxYREREpS5TQS4FSU1Px8/MzatufeOIJIGclvCA3tgcFBeVbpU9PT2fnzp14eHjg6OhI69atiYuLA6BVq1YkJiZy7do1MjMzqVq1KvXr1+fkyZM2K/Q//vgj1atX569//SudOnXi0KFDRu09wMCBA6lduzaPP/74bZsLERERkXuZEnopUG4Nfe4qem4NvZOTk00CDfDf//7XqG/P1alTJ9LS0ti/f7/R9vXXX5OcnIyvry/u7u7s3bvXWGGvXLkyDRo04PPPP8fFxQXIWenfuXMnv//+O4899hgAMTEx/Pzzz7i7u9O9e3eSk5PZsmWLcQ+TyYTZrH/WIiIiUn4o85EiVatWjQkTJrBs2TIyMjJ45JFHuHDhAsePHwfg7Nmz/Pvf/8ZiseS7NigoiKVLlxrHMTExTJs2je3bt7N9+3a2bdtGXFwcKSkpQE4d/YoVK2jTpg2Qk9CvXLmSNm3aYDKZyM7OZtOmTaxfv94YY9GiRTZlNyIiIiLljRJ6uSkXFxecnZ2JiYnB3t6e2bNn89prr+Hn58fLL7/MtGnTqFatWr7runTpQo0aNQBISUnhm2++oWvXrkZ/lSpVaN++PTt27AByEvrTp08b5TXNmzfn3LlzxvGePXuoXbs2tWvXNsbo0KEDx48f58KFC3fq8UVERETuaSar1Wot7SBESsPBg4do3twlX3tGZhYVK9iVQkSlJzExscDfspRHmos8moscmoc8mos8mos8moscd3oeihpfK/RSbqWnpxXYXt6SeRERESnblNCLiIiIiJRhSuil3LK3r5SvLSMzuxQiERERESm5CqUdgEhpMZtNvPzhTpu2+UO6lFI0IiIiIiWjFXoRERERkTJMCb3cMV9++SXNmjUz3ll/5swZWrVqhZ+fH15eXoSEhJCRkQHkvNZy7NixPPPMM/j4+PDCCy9w9epVAM6dO0dQUBA9evTAw8ODadOmkZ6eDkB8fDzNmjVj+/btxn0DcgBlFwAAIABJREFUAwOJj4+/y08rIiIiUjqU0MsdEx0dTfv27YmNjTXaGjRoQFRUFBs2bODcuXNs3LgRgJUrV/Lggw+yYcMGoqOjmT59OhUrVsRqtTJq1Cg8PDzYsmULmzdv5tq1a8ybN88Y8+GHH2bx4sV3/flERERE7gVK6OWOuHr1Kt9//z3Tp08nJiYmX7+dnR2tWrXi/PnzAFy8eNFmw6jHHnsMe3t7du/eTaVKlejXr59x3euvv05kZKSxw6yzszPVqlUjLi7uLjyZiIiIyL1FCb3cEVu3bsXNzY1HH30UJycnDh48aNOflpbG/v37cXNzA6Bfv3588MEH/O1vf2PevHn88ssvABw9epTmzZvbXOvo6EidOnU4efKk0RYUFERYWNidfSgRERGRe5ASerkjYmJi8Pb2BsDLy4vo6GgATp06hZ+fHx07dqRu3bo4OzsDYLFY2Lp1KwEBAVy+fJn+/ftz/PhxrFYrJpMp3/g3tru6ugKQkJBwpx9NRERE5J6i11bKbXfp0iV2797N0aNHMZlMZGVlYTKZGDBggFFDf+HCBfz9/dm2bRtPP/00AFWrVqVHjx706NEDs9nMzp07cXZ2ZsuWLTbjJycnc+7cORo0aMB///tfo3348OGEhYVRoYL+WYuIiEj5oRV6ue02b95M79692bFjB9u3b2fnzp3Uq1fPqJcHqFWrFsHBwSxZsgSAvXv3cvnyZQDS09M5duwYdevWpVOnTqSkpLBu3ToAsrKymDFjBn369KFy5co2933yySe5cuUKhw8fvktPKiIiIlL6lNDLbRcTE4OHh4dNW48ePfK9icbDw4OUlBQSEhI4ffo0L774Is888wx9+vShRYsW9OzZE5PJxMKFC9m0aRM9evSgZ8+eVKpUiVdffbXAew8fPpxz587dsWcTERERudeYrFartbSDECkNBw8eonlzF5u2jMxsKlYof59zExMTsVgspR3GPUFzkUdzkUPzkEdzkUdzkUdzkeNOz0NR45e/zEXk/0tPT8vXVh6TeRERESnblL2IiIiIiJRhSuil3LK3r2RznJGVXUqRiIiIiJSc3u8n5ZbZbCL4o6+N4zn+bqUYjYiIiEjJaIVeRERERKQM0wq92Gjbti379u3L17569Wo+/PBDABwdHQkNDTV2Z/X39yckJIS33nqL9PR0Ll++TGpqKrVr1wZg4cKF/P3vf6dq1aqYzTmfITt06MCECRMIDQ3lu+++o1q1alitVl577TU6depkM27Lli1xd3enefPmLFiwAIBNmzbxr3/9ixkzZgDw1VdfMX/+fJKTk6lUqRKPPvooISEh1K1b985OmIiIiEgpU0IvN7Vjxw5Wr17NJ598Qo0aNTh48CAjR45kzZo1PPTQQ8Z5a9asASAyMpIDBw4wadIkm3FWrFhBjRo18o0fEhKCp6cnu3fvZtKkSfl2hs114MABjh49SpMmTWzajxw5wrRp0wgLC6NRo0YAbNu2jbNnzyqhFxERkfueSm7kpj744APGjRtnJOPNmzend+/erFq16rbep23btja7yd5o6NCh+Tanyo0vMDDQSOYBnn76aTp06HBb4xMRERG5Fymhl5s6duwYLVq0sGlr0aIFx44du6VxBg0ahJ+fH35+fixfvjxf/9dff51vh9nr9erVi0OHDnHy5Ml88TVv3vyWYhERERG5X6jkRkrMZDLd0vmFldzMmjWL2bNnk5SUxOrVqwu93mw2ExAQQHh4OE899VSB51y6dInBgweTmprKc889R0BAwC3FKCIiIlLWaIVebqpRo0YcOHDApu3gwYM2JS5/RkhICF9++SX/+Mc/CA0NLfJcPz8/EhIS+PXXX422xo0bc/DgQQCqV69OVFQUzz33HNeuXbst8YmIiIjcy5TQy0299NJLzJkzh0uXLgGQmJjIF198wYABA27bPcxmM4MGDSI7O5uvv/660PMqVqzIoEGDWLFihU18ixcv5vjx40ZbSkrKbYtNRERE5F6mkhuxkZKSYlPOMmTIEIYMGcL58+d5/vnnMZlMVK1aldmzZ1OrVq1bGnvQoEHGayubNWvGrFmzbPpNJhNBQUEsXboUN7fCN3l69tlnCQsLM46bNWvGG2+8QUhICFevXsXJyYm6desyevToW4pPREREpCwyWa1Wa2kHIVIaDh48RPPmLsZxRlY2Fe3K5y+tEhMTsVgspR3GPUFzkUdzkUPzkEdzkUdzkUdzkeNOz0NR45fP7EUESE9Pszkur8m8iIiIlG3KYEREREREyjAl9FJu2dtXsjnOyMoupUhERERESk5fipVyy2w28donccbx/w14ohSjERERESkZJfT3OIvFQtOmTY1jb29vhg0bhr+/P6dPn2bHjh3GBk8jRoxg165d7Nu3jzNnzuDl5cWjjz6K1WqlSpUqvP322zz22GPEx8czYsQI6tWrZ4w7fvx4rl69yvvvv29z/3//+9+Eh4dz5swZPvvsM6M9KyuLo0ePEhsby2+//cayZcsIDw+3udbf358LFy7g4OAAQMOGDZk/fz4LFizg/fffZ8uWLTRs2BCA5cuX83//93+sXbuWli1b4u7uTtWqVY234nTo0IEJEyYQGhpKXFwc27Ztw97enqSkJPr3709YWBghISEA/Prrrzg6OlKtWjWqV69e4K60IiIiIvcLJfT3OAcHB6Kiogrsq1atGnv37sXV1ZUrV65w8eJFm/4GDRoY1/7zn/8kPDycmTNnAuDq6povAQfo3r278ffVq1ezYcMG3NzcMJvNDBw40OibO3cuzs7ONGrUiN9++63Q+OfMmUPLli3ztTdt2pSYmBhGjBgBwKZNm2jcuLHNOYXtLGtnZ8fatWtt3oPfrFkz41lDQ0Pp2rUrnp6ehcYlIiIicr9QDX0Z5u3tTWxsLABbtmyxScZvlJyczAMPPFDssX/++WcWLlzIrFmzjFXyXHv27GHjxo28+eabJYobwMPDg23btgFw+vRpqlWrVmDyXpDcjaUyMzNLfH8RERGR+4VW6O9xqamp+Pn5GceBgYF4eXkB0KlTJyZMmEBWVhaxsbG89dZbNhsunTp1Cj8/P65evUpqaqpNyUxCQoLNuAsWLKBBgwYAZGRkMHbsWMaPH0/dunVt4rly5QqvvfYaM2fOxNHR8abxBwcHGyU3nTt3Zvz48QA4OjpSp04djhw5wrZt2/Dy8iIyMtLm2us3ourTpw+DBw8GoE6dOrRr146oqCi6det20xhERERE7mdK6O9xRZXcmM1m2rdvT2xsLKmpqTY18WBbchMbG8vEiROJiIgACi+5AXjvvfdo0qQJ3t7e+frefPNNfH19ad++fbHiL6zkBsDLy4uYmBi++eYbVqxYkS+hL6zkBmD48OEEBQXRtWvXYsUhIiIicr9SyU0Z5+3tzbRp0+jVq1eR57m7u5OQkHDT8eLj49myZQsTJ07M1/fFF19w9uxZo+79z3J3d2f9+vXUrVu3WKv912vYsCEWi4WNGzfellhEREREyiqt0Jdxrq6uDBs2rMDV9Ovt3bvXKKkpzOXLl3nttdd455138iXYp0+fZt68eaxatYoKFW7PPxsHBweCg4N55JFHSnT98OHDCQwMvC2xiIiIiJRVSujvcTfW0Lu5uREcHGwcm0wmAgICCrw2t4bearVSsWJFpk2bZvTdWEMfFBTEyZMnSUpKyvdl18DAQHbv3k1KSgqjRo2y6ctdyd+1axdPPfWU0f7ee+8BtjX0Bb1CsqgPItfX0Ddr1oxZs2bZ9Ddp0gQXFxcOHTpU6BgiIiIi9zuT1Wq1lnYQIqUhMTGRlfuSjOPyvLFUYmIiFoultMO4J2gu8mgucmge8mgu8mgu8mguctzpeShqfK3QS7mVnW21SeIzsrKpaKevlYiIiEjZouxFyq309DSbYyXzIiIiUhYpgxERERERKcOU0Eu5ZW9fCcgptREREREpq5TQS7llNpuY/NluldqIiIhImaYvxcptERYWRnR0NGazGbPZzFtvvcUrr7zC2rVrjd1e4+PjWbZsGeHh4URGRnLgwAEmTZoEwLp161i6dClWqxWr1Uq/fv0ICAggNDSUrl274unpib+/PxcuXMDe3p6MjAw6d+7MmDFjeOCBBwCwWCw0bdrUiMnb25thw4bd/ckQERERuYuU0Muftm/fPv71r3/xxRdfYG9vT1JSEhkZGcW+fufOnaxYsYKIiAhq165NWloaUVFRBZ47Z84cWrZsSXp6OnPnzmXEiBF8/PHHQM5GVYVdJyIiInK/Uq2B/GkXL16kevXq2NvbA1CjRg1q165d7OuXLFlCSEiIcU2lSpV47rnnirzG3t6ecePG8Z///IfDhw+XPHgRERGRMk4JvfxpTzzxBL/++is9e/bkzTff5Lvvvrul648ePUqLFi1u+b52dnY4Oztz4sQJIG9X3dw/sbGxtzymiIiISFmjkhv506pWrUpkZCQJCQnEx8fzyiuvMHbs2ALPNZlMt/Xe1290rJIbERERKY+U0MttYWdnR8eOHenYsSNNmzZl3bp1ODk5ceXKFeNLsZcvX6Z69er5rm3cuDEHDhygU6dOt3TPrKwsjhw5wmOPPXZbnkFERESkLFLJjfxpJ06c4JdffjGOExMTqVu3Lh07djRWzLOysli/fj0dO3bMd31gYCCzZ8/m4sWLAKSnp7Ny5coi75mRkcE777xDnTp1cHZ2vn0PIyIiIlLGaIVe/rRr164xbdo0rly5gp2dHQ0bNuStt96iYsWKvPnmm/j6+mK1WnFzc8PX1zff9V26dOG3335jyJAhWK1WTCYT/fr1K/BewcHB2Nvbk56eTufOnVm0aJHRl1tDn8vNzY3g4ODb/8AiIiIi9xAl9PKntWjRgn/+858F9r3zzjsFtvft25e+ffsax/369SswiZ8xY4bx948++qjIOBITE4sTroiIiMh9RSU3Um5lZ1uZ8tzjZGRll3YoIiIiIiWmhF7KrfT0NAAq2um/gYiIiJRdymRERERERMowJfRSbtnbVwIgUyU3IiIiUoYpoZdyy2w2MS3yOyqo5EZERETKMGUypchiseDn52f8OXPmjNE3bdo03NzcyM7OWz2OjIykWbNm7Nq1y2j78ssvadasGZs2bQLA39+fn376CQB3d3eSkpKMcw8fPoynpydpaWlGW0BAgHHt9fbs2UO/fv3w9PTE09OTNWvWGH3z5s3Dzc3NiHvevHkAvPDCC/Ts2dNo//LLL8nMzMz3nEuXLjXOf/bZZ41xf/jhBwYPHgzA1atXeeWVV3jmmWfw8fFhwIABpKSkFDne1q1b8fPzw9fXFy8vL5uYRURERO5Xem1lKXJwcDA2XrpednY2W7dupU6dOuzZs8dmM6amTZsSHR1t7KoaExNT7I2VnJ2d6datG0uWLGH06NFs2rQJk8mEp6enzXnnz59n3LhxhIWFYbFYSEpKYujQodSuXZunnnoKyPkgkJt8X+/dd9/FYrEYx5mZmVStWrXA5wS4ePEicXFxPPHEEzbty5cvp06dOsaHhePHj1OhQs4/14LGS09P58033+Tzzz+ndu3apKenc/bs2WLNi4iIiEhZphX6e1B8fDxNmjThhRdeICYmxqbP1dWVH3/8kYyMDK5evcqpU6dsEuibGT16NNHR0Rw+fJh58+YxefLkfOd8/PHH9O/f3xi3Ro0ajB07lg8++ODPPVgBAgICCAsLy9d+8eJFateubRw3atSIihUrFjrOH3/8AYCTkxMA9vb2PProo7c5WhEREZF7j1boS9H1O5vWq1ePhQsXAhAdHY23tzceHh7MnTuXjIwMI5k1mUx07tyZb775hj/++AN3d3ebUp2bqVKlCsHBwQwYMICXXnqJ+vXr5zvn6NGjPP/88zZtLVq04NixY8ZxREQEX3zxBQDjx4+nc+fOAIwZMwYHBwcgZyOoKlWqcPXqVZsdXIOCgozfCri6urJ582YSEhKMFXiA/v3789JLL7Fx40Yef/xx+vTpQ8OGDQEKHe/JJ5+kW7dudOrUiW7duuHl5YXZrM+sIiIicn9TQl+KCiq5SU9PZ+fOnbz22ms4OjrSunVr4uLi6Nq1q3GOt7c3K1euJDk5mfHjxxMeHn5L9+3evTtTpkxhwIABhZ5jMplsjq1Wq03b7Sq5ARg+fDhhYWGMHj3aaGvRogVbt24lLi6Ob7/9ln79+rFmzRrq169f6HgzZszg8OHD7Nq1iyVLlrBr1y6mT59e6H1FRERE7gdavrzHfP311yQnJ+Pr64u7uzt79+4lOjra5pxWrVpx9OhRLl26VOKyErPZXOjqdePGjY0v1uY6dOgQjRo1KtG9bubJJ5/kypUrHDhwwKbd0dGRnj17MmXKFLy8vPjqq69uOpazszNDhgwhIiKCLVu23JF4RURERO4lSujvMTExMUybNo3t27ezfft2tm3bRlxcHCkpKTbnvfrqq7zyyit3JIYXX3yRtWvXcvjwYQCSkpKYO3cuL7300h25H+Ss0ue+rQYgISGBK1euADm/tThx4gR//etfC70+OTmZPXv2GMeJiYnUrVv3jsUrIiIicq9Qyc09JCUlhW+++Ya33nrLaKtSpQrt27dnx44dNud26dKlWGP6+voaK/G9evXitddeu+k1Dz/8MDNmzOD111/n2rVrAAwZMqTY97zRjTXvXbt2zfdhxN3dnfnz5xvHJ0+eZMqUKUDOW3+6devG008/TVZWVoHjvfTSS4SHhzNhwgQcHByoUqUKb7/9doniFRERESlLTFar1VraQYiUhsTERD5P/IMJff+ntEMpdYmJibf0tqT7meYij+Yih+Yhj+Yij+Yij+Yix52eh6LGV8mNlFvZ2VYm9P0fMrOyb36yiIiIyD1KCb2UW+npOTvmVrDTfwMREREpu5TJiIiIiIiUYUropdyyt68EoJIbERERKdOU0Eu5ZTabmBmVoJIbERERKdOUyZQDFosFPz8/fH196dOnD99//71N//Lly2nZsiV//PGH0RYfH0/79u3p3bs3PXv2ZODAgflenXm9nTt30rdvX3r16oWnpyczZ84EYMGCBURERNic6+7uTlJSkk1suX+WLFkCQEZGBnPmzKFHjx74+PjQv39/du7cme/6AwcO4O7uzqFDh/jtt98IDAzE19cXLy8v/vd///dPzpyIiIjIvU/voS8HHBwciIqKAnJ2op07dy4ff/yx0R8dHU3Lli358ssv6du3r9Hu6upKeHg4kPOqpJEjR+Lg4ECnTp1sxj9y5AhTp04lPDycRo0akZmZyerVq285tuu99957XLx4kejoaOzt7fntt9/47rvvbM45fPgwL7/8Mu+++y4uLi5MmjSJzp07M2jQIKNfRERE5H6nFfpyJjk5mQceeMA4PnXqFNeuXWPMmDHExMQUep3FYmHEiBE2HwRyLV26lOHDh9OoUSMAKlSowMCBA0scY0pKCmvWrGHixInY29sD8OCDD+Ll5WWcc+LECUaOHMmsWbNo1aoVABcuXODhhx82znF2di5xDCIiIiJlhVboy4HU1FT8/PxIS0vj4sWLrFixwuiLjo7G29sbV1dXQkND+f3336lZs2aB4zRv3jxf+QzA0aNHGTp0aKH3X758OevXrzeOL1y4kC+2XIGBgTz22GPUqVMHR0fHQsccMWIEs2fPxtXV1WgbOHAgr7zyCh9//DGdO3emb9++1K5du9AxRERERO4HSujLgevLWvbt28f48eOJjo7GZDIRGxvL+++/j9lspnv37mzatKnQ1fWSbio8ePBgAgICjGN3d/cCY8tVnFKZTp06sWbNGp588kns7OwAcHNzY+vWrXz99dd89dVX9OnTh+joaGrUqFGiuEVERETKApXclDNt27bl0qVLJCUlcfjwYX755ReGDh2Ku7s7MTExREdHF3rtoUOHjLKa6zVu3JgDBw7cthgbNmzIr7/+SnJycqHnTJo0CYApU6bYtDs5OfHMM88we/ZsWrZsyZ49e25bXCIiIiL3IiX05czx48fJysrCycmJmJgYRo8ezfbt29m+fTvffPMN58+f5+zZs/muO3z4MIsWLSpw9T4gIIDw8HB+/vlnALKzs/nwww9LHGPlypXp168f06dPJz09Hcgp07l+Jd9kMjF37lx+/vln3nvvPQB27dpFSkoKkPNdgVOnTlGnTp0SxyEiIiJSFqjkphy4vk7darUyc+ZM7OzsiImJ4YMPPrA5t3v37sTExNC6dWsSEhLo3bs3KSkp1KxZkwkTJuR7ww3kfPn09ddfZ+zYsaSkpGAymejSpcstxwY5ZTPBwcGMGTOGd999F29vbypVqkTlypV5+eWXba61t7dn0aJFvPjiizz44IOkpKQwdepU7OzssFqtPPvss8YXZkVERETuVyZrSQujRcq4xMRE1h+5yng/15uffJ9LTEzEYrGUdhj3BM1FHs1FDs1DHs1FHs1FHs1Fjjs9D0WNr5IbKbeys62M93MlMyu7tEMRERERKTEl9FJupaenAVDBTv8NREREpOxSJiMiIiIiUoYpoZdyy96+ksptREREpMxTQi/lltlsUrmNiIiIlHnKZqTELBYLfn5++Pr60qdPH77//nsAzpw5Q6tWrfDz88PLy4uQkBAyMjIAiI+PJzAwEIDIyEgef/xx/Pz88Pb25uWXXzbeI79gwQLc3Nzw8/Mz/ly5coX4+Hjat29P79698fT0ZObMmQAcPXqUnj17kpqaasQ3bNgwYmJi7uaUiIiIiNx1SuilxBwcHIiKimL9+vW8+uqrzJ071+hr0KABUVFRbNiwgXPnzrFx48YCx/Dy8iIqKoqYmBgqVqxIbGys0Td48GCioqKMPw888AAArq6urFu3jnXr1rFjxw727t1LkyZN6N69O2FhYQBs3bqVzMxMvL297+AMiIiIiJQ+JfRyWyQnJxsJ9/Xs7Oxo1aoV58+fL/L6zMxMrl27xl/+8pdi39PBwQGLxWKMPXLkSDZt2kRiYiJz5sxh0qRJt/YQIiIiImWQdoqVEsvd5TUtLY2LFy+yYsWKfOekpaWxf/9+3njjjQLHiI2NZe/evVy8eJFHHnmEbt26GX3Lly9n/fr1ADzwwAN89NFHNtdevnyZkydP0qFDBwAqV67M+PHjGThwIEOGDOGRRx65TU8qIiIicu/SCr2UWG7JzaZNm1i6dCnjx48nd+PhU6dO4efnR8eOHalbty7Ozs4FjpFbchMXF0fTpk2JiIgw+q4vubk+mU9ISOCZZ57hiSeeoGvXrjz00ENGn7u7Ow888AADBgy4Q08tIiIicm9RQi+3Rdu2bbl06RJJSUlAXg39li1b+OGHH9i2bVuR15tMJrp168aePXtuei9XV1c2bNjAhg0b+PTTT0lMTLTpN5vNmEymkj+MiIiISBmihF5ui+PHj5OVlYWTk5NNe61atQgODmbJkiU3HeP777+nQYMGxb7no48+SmBgIB988MEtxysiIiJyv1ANvZRYbg09gNVqZebMmdjZ2eU7z8PDgwULFpCQkJCvL7eGPjs7m4cffpgZM2YYfdfX0AMsXLgw3/XPP/88ERERnD59mvr169+OxxIREREpU0zW3KJnkXImMTERi8VS2mHcEzQXeTQXeTQXOTQPeTQXeTQXeTQXOe70PBQ1vkpupNzKzraSmZVd2mGIiIiI/ClK6KXcSk9Po4Kd/guIiIhI2aZsRkRERESkDFNCL+WWvX0lldyIiIhImaeEXsots9mkkhsREREp8/TaynLOYrHQtGlT49jb25uAgACeffZZXnvtNTp06ADA0KFDefbZZ1m2bBnp6elcvnyZ1NRUateuDeS8UvIvf/kLU6dO5fvvvwegXbt2TJw4kWrVqnHmzBm8vLx49NFHycjIoEWLFkyfPp3du3czZ84cIGd32Vq1auHg4ECzZs3o168fy5YtIzw8HICtW7fy3nvvkZGRQcWKFfnHP/6Bh4cHAKGhocTFxbFt2zbs7e1JSkqif//+bN++/a7NpYiIiEhpUEJfzjk4OBAVFZWvffLkyUyYMIHIyEg2b96MyWSiV69e9OrVC4DIyEgOHDjApEmTjGtefvllmjRpwqxZswCYP38+b7zxBvPnzwfydo/NyspiyJAhbNy4EV9fX9zc3ADw9/cnJCSEli1bAhAfH2+MffjwYWbOnMmyZcuoX78+p0+fZujQodSrVw9nZ2cA7OzsWLt2LQMGDLgDMyUiIiJyb1K9gRSodevWtG3blvfff5+5c+faJO4FOXnyJAcOHGDEiBFG28iRIzlw4ACnTp2yOdfOzo5WrVpx/vz5YscTERFBYGCgsXlU/fr1GTZsGBEREcY5gwYNYsWKFWRmZhZ7XBEREZGyTgl9OZe722vun9jYWKPv1VdfZcWKFTzzzDM0bNiwyHGOHTuGxWKx2SnWzs4Oi8XC0aNHbc5NS0tj//79xsp8cRw7dowWLVrYtLVs2ZJjx44Zx3Xq1KFdu3YF/sZBRERE5H6lkptyrrCSG4CEhAQcHR05cuTITcexWq2YTKYi20+dOoWfnx8nT56kZ8+eRqlMcRS0oXFB9xw+fDhBQUF07dq12GOLiIiIlGVaoZcCXbt2jdmzZ7NixQouXbrEzp07izy/SZMmHDp0iOzsvNdAZmdnc/jwYRo1agTk1dBv2bKFH374gW3bthU7nsaNG3PgwAGbtoMHDxpj52rYsCEWi4WNGzcWe2wRERGRskwJvRRo4cKFeHp60qhRIyZPnszbb79NWlpaoec3bNgQFxcXFi1aZLQtWrSI5s2b5yvXqVWrFsHBwSxZsqTY8QQEBLBkyRLOnDkDwJkzZwgPD2fo0KH5zh0+fDjLli0r9tgiIiIiZZlKbsq53Br6XG5ubvTu3ZutW7capTgWiwU3Nzc++OADRo0aVehY06dPZ+rUqXTv3h2r1UqbNm2YPn16ged6eHiwYMECEhIScHV1vWmcFouF4OBggoKCjNdWjhvUmefzAAAgAElEQVQ3DovFku/cJk2a4OLiwqFDh246roiIiEhZZ7IWVJwsUg4kJiYW+IGgPNJc5NFc5NFc5NA85NFc5NFc5NFc5LjT81DU+Cq5kXIrO9tKZlb2zU8UERERuYcpoZdyKz09jQp2+i8gIiIiZZuyGRERERGRMkwJvZRb9pUqqeRGREREyjwl9FJumU0mldyIiIhImXdPvLYyLCyM6OhozGYzZrOZt956i9atW+Pv78+FCxdwcHAAct51Pn/+fKZNm0b16tUZOXKkcf2FCxeYPHlyvrFXr17Nhx9+CICjoyOhoaHGaxJvHD8oKAhPT08sFgtNmzY1xli4cCFnz55lxIgR1KtXz2gfP348nTt3plmzZgwZMoTQ0FAAIiIiuHbtGqNHj+bEiRNMnjyZK1eukJ6ejqurK1OnTiU+Pr7Q8Qqbj+uFhoYSFxfHtm3bsLe3Jykpif79+7N9+3YAjh49ytSpUzl//jxWqxU/Pz9GjBiByWQiMjKS119/nXXr1hm7tfr4+LB48WKbeIqao3PnzjFlyhSOHz9OdnY2Xbt2JSQkBHt7e+PZ6tevT2pqKt26dWP8+PHGmDt37uS9994jJSUFq9Vq9C9YsIAqVaoQEBBAaGgo3333HdWqVSMtLQ0fHx/jlZn+/v6EhITQsmVLY8yi5lNERETkflbqCf2+ffv417/+xRdffGEkphkZGUb/nDlzbBI3gDFjxuDn54evry8Aa9asYd26dfnG3rFjB6tXr+aTTz6hRo0aHDx4kJEjR7JmzRoeeuihQsd3cHAw3sGe6+zZs7i6uhIeHp7vPvb29mzZsoVhw4ZRo0YNm77p06czaNAgPDw8APj3v/9t9BU03s3m43p2dnasXbuWAQMG2LSnpqYSFBTEm2++yZNPPklKSgqjR4/mk08+YeDAgQA8/PDDLF68mHfffbfAsa934xxZrVZGjRrFCy+8QFhYGFlZWUycOJF58+YZiXvus6WmptK7d288PDxo3749R44cYerUqYSHh9OoUSMyMzNZvXp1gfcNCQnB09OTtLQ0vLy88PPzo379+oXGWdjPR0REROR+Vur1BhcvXqR69erY29vD/2vvzsOqqvYGjn8Ph1FQA1MgDUtDRcghtTQHuICIMoum5jVReTXHV8ShnLp6IYd4tTRE08y6r1ftJg6AUwqiOaCYpSgWTqAmaDiiCMI57x+8bDkdQLSU6fd5Hp/Hs9baa6+zzj7n/M7it/cGrKyssLa2LncbCwsLQkJCmDt3LnPnzmXChAnUq1dPr93KlSuZMmWKEmQ7Ojri7+/P2rVr/9LnYGhoyIABA/j666/16q5du4aNjY3yuGXLluX29STzMXToUL7++msKCgp0ymNiYnjjjTfo1q0bAGZmZsyePVvnzqwuLi6cPXuW8+fPV+xJlnD48GFMTEwIDAwEin5YTJ8+nejoaHJzc3Xampqa4uDgQFZWFgCrVq3i/fffp3nz5kDR3BX/yChL8R1q69Sp88RjFUIIIYSo6So9oO/atStXr16lV69e/OMf/+DIkSM69ZMnT8bPzw8/Pz8WLFiglHt7e3Pnzh1ycnLw9/cvte+zZ8/i5OSkU+bk5MTZs2dL7f/mzZvAo7un+vn5KWk9AMnJyUq5n58fGRkZSt3gwYOJiYnh7t27OvsLCgpi6NChBAcHs2bNGu7cuVNuf4+bj5JsbW1544039P6acPbsWRwdHXXK7OzsuH//Pjk5OQAYGBgQHBxcoRXtP85RWlqaXv8WFhbY2tqSnp6uU3779m3S09Pp1KkTUJQK9MfXpCwLFy7Ez88PZ2dnvLy8aNCgQbnty3t9hBBCCCFqqkpPuTE3Nyc6Oprk5GSSkpIICQkhNDSUvn37AqWnxABkZmZy/fp1VCoV9+7dw9zcvML7VKlUyv8rmnID5ad0WFhY4OfnxzfffKPkmwMEBgbSrVs39u/fz549e1i/fj1bt24tt7/y5uOP3n//fUaPHo2Li4tSptVqdZ5jWby9vYmKiuLSpUvltist5aa0/kuWJycn4+Pjw4ULFxg5cqSS4vQkilNu7t27R1BQED/++CNvvPFGme0l5UYIIYQQtVGlr9BDUcrGW2+9xYQJE5g1axa7du167Dbh4eGMHz+e3r178/nnn5fapnnz5qSkpOiUnTp1Skn3+KsNHTqUjRs36qWdWFtb069fP6KiojA0NOTXX38tt58nmY+mTZvi4ODA9u3blTJ7e3u9533p0iXq1KmDhYWFUmZoaMjw4cNZuXLlkzzNUvvPyckhMzMTOzs7oCi4jomJISYmhnXr1pGamgrAa6+9prft45ibm/Pmm29y7NixJ9pOCCGEEKI2qPSA/vz581y8eFF5nJqayksvvVTuNomJiWRnZ+Pv78+YMWPYvXu3ThpNseDgYCIiIpRUmtTUVDZt2qR3Eulf5YUXXsDT05PvvvtOKdu3b59yUuv169e5detWuecIPM18vP/++6xevVp57OPjw7Fjxzh48CBQlEIUFhZGcHCw3rYBAQEcOnSIGzduVOg5AnTp0oXc3FzlROTCwkLmz59PQEAAZmZmOm1fffVVRo0apfxoGDFiBCtWrODChQsAaDQa5SpEZSkoKODEiRPKjwUhhBBCCPFIpafc3L9/n7CwMO7cuYNaraZp06bMnTtXqZ88ebKSwmJpacmKFSv4+OOPWbJkCSqVijp16jBlyhTmzp3LN998o9O3m5sbWVlZDBw4EJVKhbm5OZ988gmNGjV6qrEW52gXK76EY0nDhw/XOen2wIEDhIeHY2JiAsCUKVNo2LAh58+fL7W/Jk2alDsfpbG3t6d169acPn0aKEoZWrZsGWFhYcyZMweNRoOfnx9///vf9bY1NjZmyJAhhIeHV3geVCoVkZGRzJkzh2XLlqHRaHB2dmbSpEmlth84cCBffvklly5dolWrVkyfPp3Q0FByc3NRqVQ4OzuXut3ChQuJiori4cOHdOnSBQ8PD6Vu1KhRGBoWHb7t2rVj8ODBFXp9hBBCCCFqGpVWq9VW9iCEqAypqak4ODhU9jCqBJmLR2QuHpG5KCLz8IjMxSMyF4/IXBR51vNQXv+VnnIjRGXRaLUUFGoqexhCCCGEEH+KBPSi1srPy8NQLW8BIYQQQlRvEs2IWsvYxERW6IUQQghR7UlAL2otA5VKVuiFEEIIUe1JNCOEEEIIIUQ1JgG90PH7778TGhqKm5sbffv2ZcCAAXz//fdKfVhYGN27d0ejeZSqEh0dTcuWLTl06JBS9v3339OyZUt27NgBwJAhQ+jVqxd+fn707t2bDRs2KG1dXV31roMfHR2tXK5z6dKltG3bluzsbKW+ffv2FR6zEEIIIURNJgG9UGi1WsaOHUvHjh3Zs2cP0dHRLFq0iMzMTKDoJlC7d+/G1taWo0eP6mzbokULYmNjlcdxcXG0atVKp01ERARbtmxh3bp1REREkJ+fX+GxWVpa6tw8q6JjFkIIIYSo6SSgF4rDhw9jZGTEoEGDlLLGjRszZMgQAJKSkrC3t2fQoEHExcXpbNuxY0dOnDjBw4cPuXfvHhkZGWVeK/X+/fuYmZmhVqsrPLbAwEC2b9/OrVu3nmjMQgghhBA1nQT0QpGWlkbr1q3LrI+NjcXLy4uePXuSkJDAw4cPlTqVSsXbb7/NDz/8wJ49e3B1ddXbfvLkyfj4+ODp6cmYMWOeKKCvU6cOffv21bsb8OPGLIQQQghR00lAL8o0Z84cfH19CQwMJD8/n8TERNzd3bGwsKBt27YcOHBAp72XlxdxcXFs27YNLy8vvf4iIiKIiYlh7969rF69mitXrjzReN577z02b95MTk5OhcYshBBCCFEbGFb2AETVYW9vz65du5THH330ETdu3KBfv37s37+fnJwcfH19AcjNzcXU1BQXFxelfZs2bUhLS8PU1JRXX321zP1YWVnRunVrfv75Zxo3blzh8dWrVw9vb2/+/e9/V2jMQgghhBC1gazQC0Xnzp3Jy8vTCZgfPHgAFJ3kGhYWRnx8PPHx8ezZs4cDBw6Qm5ur08ekSZMICQkpdz+5ubmkpqZiZ2f3xGMMCgpi/fr1FBQUPHbMQgghhBC1gazQC4VKpSIyMpJ58+axatUqrKysMDMzY/z48cybN0+5jCQU5bR36NCBhIQEnT6cnZ3L7H/y5MmYmpqSn59PQEAATk5OSp2vry8GBkW/L3v37k3Lli1L7cPKyoqePXuyZs2acsc8efLkp50GIYQQQohqRaXVarWVPQghKkNqamqZV+KpbWQuHpG5eETmoojMwyMyF4/IXDwic1HkWc9Def1Lyo2otTRaLQWFmsc3FEIIIYSowiSgF7VWfl4ehmp5CwghhBCiepNoRtRaxiYmFGpkhV4IIYQQ1ZsE9KLWMlCpUBvIW0AIIYQQ1ZtEM0IIIYQQQlRjVSKgd3BwwM/PD29vbyZMmKBc2zwzM5PRo0fj4eGBu7s7YWFh5OfnA5CUlESHDh3w9/fH09OTBQsWKP1FR0fTqlUrzpw5o5R5e3tz+fJlAO7evcvUqVNxd3fH3d2dqVOncvfuXaXtxYsXGTVqFO7u7vTt25chQ4Zw9OhRpe/OnTvj5+eHp6encvnEknx9fZk0aZJO2QcffICrqyt+fn4EBARw/PhxpXzHjh06bdu3b09eXh6enp788ssvSvnKlSuZPXu28njEiBFkZWWRn59PeHg47u7ueHh4MHr0aDIzM/Xm19fXl4CAAH788UcANBoNYWFheHt74+PjQ2BgIJcuXQLg3r17zJ49G3d3d7y8vBg8eDA///yzTn/F/7744gsAhgwZQt++fZX9njx5kiFDhui8XiW3O3jwoN7cubq68u677+qUFR8bJYWFhdG9e3c0/58ys3HjRqVfJycnfHx88PPzIyIiQm8fQgghhBA1SZW4Dr2pqSlbtmwBIDQ0lPXr1xMUFMS4ceMYNGgQUVFRFBYWMmvWLBYvXsy0adMA6NixIytWrODBgwf4+/vj7u5Ohw4dALCxsWH58uV8+umnevubMWMG9vb2LFy4EIAlS5YwY8YMlixZQl5eHqNGjWLq1Km4ubkB8Ouvv5KSkkKnTp0A6NOnD7Nnz+bmzZt4enrSq1cvbG1tATh37hxarZajR49y//596tSpo+x36tSpeHp68sMPPzB79mxiYmLKnBMTExOmT5/OnDlzWLt2LdeuXWPDhg1s3LgRKLp50u3bt7G2tmbBggXcu3ePnTt3olar2bhxI+PGjeM///kPKpVKZ37379/PokWL+N///V+2bdvGtWvX2Lp1KwYGBmRmZmJmZgbAzJkzadKkCbt27cLAwIBLly5x7tw5vdfrj27cuEFiYmKp16Mvfr0e5969e1y9ehVbW1tlnyVpNBp2796Nra0tR48e5a233iIwMJDAwECg6EfB119/jZWV1WP3JYQQQghR3VWJFfqSOnbsSHp6OocPH8bExEQJ0tRqNdOnTyc6Olrv7qSmpqY4ODiQlZWllLm4uHD27FnOnz+v0zY9PZ2UlBTGjBmjlI0dO5aUlBQyMjLYunUr7dq1U4J5gBYtWuisPBeztLSkadOmXL9+XSmLiYnB19eXbt26ER8fX+pz7NSpExkZGY+dix49etCwYUM2b97Mxx9/zLhx46hfvz5QtOL95ptvkpubS3R0NNOnT0etVgMQGBiIsbExhw8f1uszJyeHevXqAXD9+nUaNmyo3NDJxsaG+vXrk5GRwc8//8zEiROVupdffhkXF5fHjnnEiBFERUU9tl15evfuzbZt2wCIjY3Fy8tLpz4pKQl7e3sGDRpEXFzcn9qXEEIIIUR1V6UC+oKCAvbt20eLFi1IS0vD0dFRp97CwgJbW1vS09N1ym/fvk16erqygg5gYGBAcHCw3orw2bNncXBwUIJfKPqx4ODgQFpaGmfPnqV169YVGu9vv/1GXl6ezl1Nt2/fTp8+ffDy8iI2NrbU7eLj42nRooXyeOHChTqpKCVNnz6dxYsXc+PGDfz9/ZXy/fv30717d9LT07G1tcXCwkJnOycnJ9LS0oCi1fziFKGZM2cqP2Z69+5NQkICfn5+zJ8/n9OnTwOQlpamN0clFfdX/K84+AZo165dmT8mkpOTdbYr60dNr169+P777wFISEjA1dVVp744yO/ZsycJCQk8fPiw1H6EEEIIIWqDKpFyUxwgQtEKfb9+/Vi3bh0qlUqvrVarVcqTk5Px8fHhwoULjBw5koYNG+q09fb2JioqSskL/+P2ZfVb0tixY0lPT+eVV17h888/B2Dbtm0kJSVx4cIF/vnPf2JiYgLAiRMnsLS0pHHjxtjY2DB9+nRu376trKovXLiQqKgorKysCA8PV/ZRnIpTrH379sr/ra2t6dy5s97q+I8//sjUqVM5f/78Y59PyRSZ48ePM23aNGJjY7GxsWHHjh0cOnSIw4cPExQUxGeffabX1x+Vl3IDMHr0aKKiopg8ebJOeUVTburXr0+9evWIi4ujefPmmJqaKnX5+fkkJiby4YcfYmFhQdu2bTlw4ECF/noghBBCCFETVYmAvrQA0d7enl27dumU5eTkkJmZiZ2dHbdu3VICxAsXLvDuu+/Ss2dPnVviGhoaMnz4cFauXKnT7+nTp9FoNEo6iUaj4cyZMzRv3pzs7GySk5OV9pGRkZw8eVLJt4dHOfTHjx9n1KhRSmpMXFwcFy5cUFaUc3Jy2LVrF/379wf0A/eKMjAwUMYKcOnSJWxsbDA2NsbOzo7ffvuNnJwcnVX606dP661sQ9GPhZs3b3Ljxg0aNGiAsbExzs7OODs78+KLL7J7926GDh3KmTNndOboSXTp0oXPPvtMOYn2afTp04e5c+cyb948nfL9+/eTk5ODr68vALm5uZiamkpAL4QQQohaq0ql3JTUpUsXcnNz2bx5MwCFhYXMnz+fgIAA5cTNYq+++iqjRo3SCdyLBQQEcOjQIW7cuAFA06ZNad26NcuWLVPaLFu2DEdHR5o2bYqPjw8//vgje/bsUeofPHhQ6hjbt2+Pr68v33zzDRqNhh07drB161bi4+OJj49n2bJlZabd/Bn79u2je/fuANSpUwd/f3/mz59PYWEhAJs3byY3N5fOnTvrbXvu3DkKCwt54YUXOHXqlHLegUaj4ZdffuGll17Czs4OJycnlixZglarBYqu/LN79+4Kj3H06NGsWrXqqZ+ju7s7I0aMoFu3bjrlcXFxhIWFKXO8Z88eDhw4oHdehRBCCCFEbVFlA3qVSkVkZCQ7duzAw8ODXr16YWJionc5yGIDBw7k6NGjOuk1AMbGxgwZMoTs7GylLDw8nIsXL9KzZ0/c3d25ePGikgJjamrK8uXLWb9+PW5ubgwYMICoqChGjx5d6n7/67/+i+joaPbu3Yu1tTXW1tZKXadOnTh37hzXrl37s9Ohozh/vlhoaCgmJib06tULDw8PduzYQWRkpJJyUzLnPSQkhAULFqBWq8nOzmb06NF4e3vj6+uLWq3m73//uzJHv//+Oz179sTHx4dZs2bRqFEjvf7KujSks7Oz3lVm/phD/8fLdZZkYWHByJEjMTY2Vspyc3P54YcfdFbj69SpQ4cOHUhISHjyiRRCCCGEqAFU2uIlWFEt5OfnM3DgQKKjoyt7KNVeamqqTopWbSZz8YjMxSMyF0VkHh6RuXhE5uIRmYsiz3oeyuu/yq7Qi9IZGxtLMP8X0Wi1FP7/jamEEEIIIaorCehFrZWfl4f6KU76FUIIIYSoSiSaEbWWoWGVuMiTEEIIIcSfIgG9qLUkoBdCCCFETSABvRBCCCGEENWYLFGKSnHz5k2CgoIA+P333zEwMFAuc3nmzBlatWpFYWEhTZo0YeHChdSrV4/Lly/Tp08fXn31VaWfYcOG4e/vDxTdTCsgIIBVq1bpXNZTCCGEEKImk4BeVApLS0vl7sBLly6lTp06jBgxAii6YVdx3bRp01i7dq1yHwA7Ozu9uwoXi42NpUOHDsTFxUlAL4QQQohaQ1JuRJXWrl075W625dFqtezcuZP58+fzww8/kJeX9xxGJ4QQQghR+SSgF1VWYWEhhw4dwtXVVSnLyMjQudtscnIyAMeOHaNJkybY2dnx1ltvkZiYWFnDFkIIIYR4riTlRlQ5Dx48wM/PjytXruDo6EjXrl2VurJSbuLi4vDy8gKgT58+bNmyBQ8Pj+c2ZiGEEEKIyiIBvahyTE1N2bJlC3fv3mXUqFGsXbuW9957r8z2hYWF7Nq1i/j4eJYvX45Wq+XWrVvk5ORgYWHxHEcuhBBCCPH8ScqNqLLq1q3LzJkzWb16NQ8fPiyz3cGDB2nVqhWJiYnEx8eTkJCAh4cHu3fvfo6jFUIIIYSoHLJCL6q01q1b06pVK+Li4ujYsaOSQ18sMDCQ06dP4+7urrOdh4cH69atUy5pKYQQQghRU0lALyrd+PHjdR4fP35c5/Hy5cuV/584caJCfbq5ueHm5lZum4KCggqOUAghhBCi6pKUG1FrSUAvhBBCiJpAAnohhBBCCCGqMQnoRa1lbGJS2UOoMhwcHCp7CFWGzMUjMhdFZB4eqSlzUajRVPYQhPhLSQ69qLUMVCo2HT1X2cMQQgjxnAV0al7ZQxDiLyUr9EIIIYQQQlRjskJfyTIzM5kzZw7nzp1Do9Hg4uLC1KlTSUpKIiIiAoCMjAwaNWqEqakpLVu2JDAwkNWrV7NixQqlnw8++AAXFxc8PT0ZMmQI165dw9TUFICmTZuyZMkSli5dyrfffouVlRUPHz5kzJgxeHt7lzquDRs28NVXXwFgYWHBBx98QMeOHQH0+h89ejSenp44ODjQokULpY/IyEiuXLnCmDFjaNKkiVI+bdo03n77bVq2bMmwYcP44IMPAPjyyy+5f/8+48eP5/z583z00UfcuXOH/Px8OnbsyD//+U+SkpLK7C8qKorY2FgMDAwwMDBg7ty5tG3b9k+/RkIIIYQQVZkE9JVIq9Uybtw4Bg0aRFRUFIWFhcyaNYvFixczbdo0unfvDhQF0FOnTuX1118HICkp6bF9R0REKO1LCgoKYsSIEVy8eJG+ffvSq1cvjIyMdNokJCSwYcMG/v3vf2NlZcWpU6cYO3Ys//nPf2jYsGGZ/Rff4bWkK1eu0LFjR50fH8WMjY3ZtWsXI0eOxMrKSqcuPDycoUOHKteX/+WXX5S60vo7fvw4e/fuZdOmTRgbG3Pjxo1yb0YlhBBCCFFTSMpNJTp8+DAmJiYEBgYCoFarmT59OtHR0eTm5j7Tfb/yyiuYmZlx584dvbqVK1cyZcoUJch2dHTE39+ftWvX/qVjMDQ0ZMCAAXz99dd6ddeuXcPGxkZ53LJly3L7un79OpaWlhgbGwNgZWWFtbX1XzpeIYQQQoiqSFboK1FaWhqOjo46ZRYWFtja2pKenk6rVq3K3DY5OVnnjqlXr17FxcVFeTx58mQlJebtt99m2rRpOtufOnWKpk2b0qBBA72+z549i5OTk06Zk5MTmzdvLrX/NWvWYGlpyYMHD5QxNWnShMjIyFLHunTpUuzs7AAYPHgwvr6+BAcH6+wvKCiIoUOH0r59e7p160bfvn2pV69emf117dqVyMhIevXqRZcuXejTpw9vvvlmmfMnhBBCCFFTSEBfibRaLSqVqsLlJf0x7aQ4D71YWSk3a9as4dtvv+Xy5cusWrXqicZbckwVTbkpbawlWVhY4OfnxzfffKP8QAAIDAykW7du7N+/nz179rB+/Xq2bt1abn/R0dEkJyeTlJRESEgIoaGh9O3b94meoxBCCCFEdSMpN5XI3t6elJQUnbKcnBwyMzOVFey/WlBQEDt37mTx4sVMnTqVvLw8vTbNmzfXG9epU6do3vzZXOZr6NChbNy4US/NyNramn79+hEVFYWhoSG//vpruf2o1WreeustJkyYwKxZs9i1a9czGa8QQgghRFUiAX0l6tKlC7m5uUoqS2FhIfPnzycgIAAzM7Nnum8PDw+cnJzYtGmTXl1wcDARERHcvHkTgNTUVDZt2sS77777TMbywgsv4OnpyXfffaeU7du3Tzmp9fr169y6davcnPjz589z8eJF5XFqaiovvfTSMxmvEEIIIURVIik3lUilUhEZGcmcOXNYtmwZGo0GZ2dnJk2a9Kf7LpnjbmlpyZo1a/TajB07ltDQUN555x0MDB79tnNzcyMrK4uBAweiUqkwNzfnk08+oVGjRk81lj/mvBdf5rKk4cOH65x0e+DAAcLDwzH5/7u5TpkyhYYNG3L+/PlS+2vSpAlhYWHcuXMHtVpN06ZNmTt37lONVwghhBCiOlFptVptZQ9CiMpw6vRpHFu3ruxhCCGEeM4KNRrUBn8uSSE1NRUHB4e/aETVm8xFkWc9D+X1Lyk3otbKL+X8gdoqNTW1sodQZchcPCJzUUTm4ZGaMhd/NpgXoqqRFXpRa/30009KSo8QQgghRFWWl5dHu3btSq2TgF4IIYQQQohqTP7mJIQQQgghRDUmAb0QQgghhBDVmAT0QgghhBBCVGMS0AshhBBCCFGNSUAvhBBCCCFENSYBvRBCCCGEENWYYWUPQIhnbd++fYSHh6PRaOjfvz8jR47UqddqtYSHh5OYmIipqSnz58/H0dGxkkb77Fy9epWpU6fy+++/Y2BgwDvvvMPQoUN12iQlJTFmzBiaNGkCQM+ePRk3blxlDPeZc3V1xdzcHAMDA9RqNdHR0Tr1teG4OH/+PCEhIcrjS5cuMWHCBIKCgpSymnxMfPjhh+zdu5cGDRoQGxsLwK1btwgJCeHKlSs0btyYTz/9lPr16+tt+7jPleqmtLlYsGABCQkJGBkZYWdnx7x586hXr57eto97L1U3pc3F0qVL+fbbb7GysgJg0qRJODs7621bG46LiRMncuHCBQDu3r1L3bp12bJli962Nem4KOv7s0p9XmiFqMEKCgq0bm5u2lrKfBIAAAp6SURBVIyMDG1eXp7Wx8dHm5aWptNm79692hEjRmg1Go32+PHj2n79+lXSaJ+trKwsbUpKilar1Wrv3r2r9fDw0JuLw4cPa0eOHFkZw3vu/va3v2mzs7PLrK8tx0WxgoIC7dtvv629fPmyTnlNPiaOHDmiTUlJ0Xp5eSllCxYs0K5YsUKr1Wq1K1as0C5cuFBvu4p8rlQ3pc3F/v37tQ8fPtRqtVrtwoULS50Lrfbx76XqprS5WLJkiXbVqlXlbldbjouS5s2bp126dGmpdTXpuCjr+7MqfV5Iyo2o0U6cOEHTpk15+eWXMTY2xsvLiz179ui02bNnD/7+/qhUKtq1a8edO3e4du1aJY342WnUqJGywmxhYUGzZs3Iysqq5FFVXbXluCh26NAhXn75ZRo3blzZQ3luOnXqpLeaVvy6A/j7+7N792697SryuVLdlDYX3bp1w9Cw6A/57dq1IzMzszKG9tyVNhcVUVuOi2JarZbt27fj7e39nEf1/JX1/VmVPi8koBc1WlZWFjY2Nspja2trvSD2j21sbGxqfKB7+fJlUlNTadu2rV7dTz/9hK+vL8HBwaSlpVXC6J6fESNG0LdvXzZs2KBXV9uOi7i4uDK/mGvTMZGdnU2jRo2Aoi/xGzdu6LWpyOdKTbNx40Z69OhRZn1576WaYu3atfj4+PDhhx9y+/ZtvfradlwkJyfToEEDXnnllTLb1MTjouT3Z1X6vJAcelGjabVavTKVSvXEbWqSe/fuMWHCBKZPn46FhYVOnaOjI/Hx8Zibm5OYmMjYsWPZtWtXJY302Vq3bh3W1tZkZ2czbNgwmjVrRqdOnZT62nRc5OfnEx8fT2hoqF5dbTomKqo2HRsAUVFRqNVqfH19S61/3HupJhg0aBBjxoxBpVLx2WefMX/+fObNm6fTprYdF7GxseWuztfE46K878+yPK/jQlboRY1mY2Oj82firKws5dd0WW0yMzP12tQUDx8+ZMKECfj4+ODh4aFXb2Fhgbm5OQDOzs4UFBSUuuJQE1hbWwPQoEEDevbsyYkTJ3Tqa9NxsW/fPhwdHXnxxRf16mrTMQFFx0NxatW1a9eUkyBLqsjnSk2xadMm9u7dS0RERJlByOPeSzXBiy++iFqtxsDAgP79+3Py5Em9NrXpuCgoKOD777+nT58+ZbapacdFad+fVenzQgJ6UaO9/vrrXLx4kUuXLpGfn09cXByurq46bVxdXdm8eTNarZaffvqJunXr1sgPYa1Wy4wZM2jWrBnDhg0rtc3169eV1YQTJ06g0WiwtLR8nsN8Lu7fv09OTo7y/wMHDmBvb6/TprYcF1CUbuPl5VVqXW05JooVv+4Amzdvxs3NTa9NRT5XaoJ9+/axcuVKoqKiMDMzK7VNRd5LNUHJ82d2795d6nOsLccFwMGDB2nWrJlOKklJNe24KOv7syp9XkjKjajRDA0NmT17NsHBwRQWFhIYGIi9vT3r1q0Div6M6uzsTGJiIj179sTMzIyPP/64kkf9bBw7dowtW7bQokUL/Pz8gKJLr/32229A0Vzs3LmTdevWoVarMTU1ZdGiRTXyT8bZ2dmMHTsWgMLCQry9venRo0etPC5yc3M5ePAgc+fOVcpKzkNNPiYmTZrEkSNHuHnzJj169GD8+PGMHDmSiRMn8t1332Fra8tnn30GFK2qzZw5k5UrV5b5uVKdlTYXX3zxBfn5+UoA07ZtW+bOnaszF2W9l6qz0ubiyJEjnDlzBoDGjRsr75faeFz079+fbdu26S0C1OTjoqzvz6r0eaHSlpbcI4QQQgghhKgWJOVGCCGEEEKIakwCeiGEEEIIIaoxCeiFEEIIIYSoxiSgF0IIIYQQohqTgF4IIYQQQohqTAJ6IYQQNU779u2faruTJ08SFhZWap2rq+tT31Rr9+7dnD179om2OX36NDNmzABg586deHl58e6773Lz5k0AMjIyCAkJUdrn5+czePBgCgoKnmqMQojqSwJ6IYQQ4v+9/vrrzJw58y/v92kC+uXLlzNkyBAAvvrqKzZs2IC/vz+xsbEAfPrpp/z3f/+30t7Y2JguXbqwbdu2v27gQohqQW4sJYQQosZKSkri888/x9LSkl9//RVHR0ciIiJQqVScOHGCjz/+mPv372NsbMyaNWs4deoUq1evZsWKFdy8eZPQ0FBu3LhBmzZtKHnbli1btvCvf/2Lhw8f0rZtWz766CPUajXt27fnvffeIyEhAVNTU5YtW0ZGRgbx8fEcOXKEqKgoli5dyt69e1m/fj1qtZrXXnuNxYsX64w7JyeHX375hVatWgGgUqnIz88nNzcXY2NjkpOTadiwIa+88orOdu7u7vzP//wPvr6+z3xuhRBVhwT0QggharTTp08TFxdHo0aNGDRoEMeOHaNNmzaEhISwePFi2rRpQ05ODqampjrbRUZG8sYbbzBu3Dj27t3Lhg0bADh37hzbt29n3bp1GBkZ8Y9//IOYmBj8/f25f/8+bdu2JSQkhIULF/Ltt98yZswYXF1dcXFxwdPTE4AvvviC+Ph4jI2NuXPnjt6YU1JSaNGihfJ43LhxBAcH06hRIz755BMmTpzIokWL9Lazt7fn5MmTf+X0CSGqAQnohRBC1Ght2rTBxsYGgFatWnHlyhXq1q1Lw4YNadOmDQAWFhZ62x09epTPP/8cABcXF+rXrw/AoUOHSElJoV+/fgA8ePCABg0aAGBkZMTf/vY3AJycnDhw4ECpY2rZsiWTJ0/Gzc0Nd3d3vfrr169jaWmpPO7atStdu3YFYNOmTfTo0YMLFy6wevVq6tWrx4wZMzAzM0OtVmNkZEROTk6pz0kIUTNJQC+EEKJGMzY2Vv6vVqspLCxEq9WiUqmeqj+tVktAQAChoaF6dUZGRkq/BgYGFBYWltrHF198wdGjR4mPj2fZsmXExcVhaPjoK9nU1JT8/Hy97XJzc9m0aRNffvklw4cPJyoqipiYGGJiYnjnnXeAopNjTUxMnuq5CSGqJzkpVgghRK3TrFkzrl27xokTJ4CinPU/Xh2mU6dOxMTEAJCYmMjt27cB6NKlCzt37iQ7OxuAW7duceXKlXL3Z25uzr179wDQaDRcvXqVzp07M2XKFO7evcv9+/f1xpeenq7Xz6pVq3jvvfcwMjIiLy8PKPrhkJubC8DNmzexsrLCyMjoieZDCFG9yQq9EEKIWsfY2JjFixcTFhbGgwcPMDU15auvvtJpM3bsWEJDQwkICKBTp0689NJLALz22mtMnDiR4cOHo9FoMDIyYvbs2TRu3LjM/fXp04dZs2bxr3/9i0WLFjFjxgxycnLQarUEBQVRr149nfbNmzcnJydHJ3UmKyuLlJQUxo8fD8CwYcMYMGAAdevWZdmyZUDRScDOzs5/2TwJIaoHlbbkaftCCCGEqBLWrFmDubk5/fv3r/A248aNY9KkSTRr1uwZjkwIUdVIyo0QQghRBQ0aNOiJUmfy8/Nxd3eXYF6IWkhW6IUQQgghhKjGZIVeCCGEEEKIakwCeiGEEEIIIaoxCeiFEEIIIYSoxiSgF0IIIYQQohqTgF4IIYQQQohq7P8AJePRRmKnRakAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with sns.axes_style(\"whitegrid\"):\n",
    "    f, ax = plt.subplots(1, figsize=(10, 10))\n",
    "    sns.barplot(\n",
    "        category_counts.values / category_counts.values.sum() * 100,\n",
    "        category_counts.index,\n",
    "        orient='h',\n",
    "        palette='Blues_d')\n",
    "plt.title('Incidents per Crime Category', fontdict={'fontsize': 16})\n",
    "plt.xlabel('Incidents (%)');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "절도의 비율이 가장 큽니다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Police District"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "샌프란시스코의 Police Distirct를 불러와 train 데이터와 merging시킵니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Downloading the shapefile of the area \n",
    "url = 'https://data.sfgov.org/api/geospatial/wkhw-cjsf?method=export&format=Shapefile'\n",
    "with urllib.request.urlopen(url) as response, open('pd_data.zip', 'wb') as out_file:\n",
    "    shutil.copyfileobj(response, out_file)\n",
    "    \n",
    "# Unzipping it\n",
    "with zipfile.ZipFile('pd_data.zip', 'r') as zip_ref:\n",
    "    zip_ref.extractall('pd_data')\n",
    "    \n",
    "# Loading to a geopandas dataframe\n",
    "for filename in os.listdir('./pd_data/'):\n",
    "    if re.match(\".+\\.shp\", filename):\n",
    "        pd_districts = gpd.read_file('./pd_data/'+filename)\n",
    "        break\n",
    "        \n",
    "# Merging our train dataset with the geo-dataframe\n",
    "pd_districts = pd_districts.merge(\n",
    "    train.groupby('PdDistrict').count().iloc[:, [0]].rename(\n",
    "        columns={'Dates': 'Incidents'}),\n",
    "    left_on='district',\n",
    "    right_index=True)\n",
    "\n",
    "# Transforming the coordinate system to Spherical Mercator for\n",
    "# compatibility with the tiling background\n",
    "pd_districts = pd_districts.to_crs({'init': 'epsg:3857'})\n",
    "\n",
    "# Calculating the incidents per day for every district\n",
    "train_days = train.groupby('Date').count().shape[0]\n",
    "pd_districts['inc_per_day'] = pd_districts.Incidents/train_days"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "각 district별 하루 평균 범죄 발생 건수를 시각화합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Ploting the data\n",
    "fig, ax = plt.subplots(figsize=(10, 10))\n",
    "pd_districts.plot(\n",
    "    column='inc_per_day',\n",
    "    cmap='Reds',\n",
    "    alpha=0.6,\n",
    "    edgecolor='r',\n",
    "    linestyle='-',\n",
    "    linewidth=1,\n",
    "    legend=True,\n",
    "    ax=ax);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10, 10))\n",
    "pd_districts.plot(\n",
    "    column='inc_per_day',\n",
    "    cmap='Reds',\n",
    "    alpha=0.6,\n",
    "    edgecolor='r',\n",
    "    linestyle='-',\n",
    "    linewidth=1,\n",
    "    legend=True,\n",
    "    ax=ax);\n",
    "\n",
    "def add_basemap(ax, zoom, url='http://tile.stamen.com/terrain/tileZ/tileX/tileY.png'):\n",
    "    \"\"\"Function that add the tile background to the map\"\"\"\n",
    "    xmin, xmax, ymin, ymax = ax.axis()\n",
    "    basemap, extent = ctx.bounds2img(xmin, ymin, xmax, ymax, zoom=zoom, url=url)\n",
    "    ax.imshow(basemap, extent=extent, interpolation='bilinear')\n",
    "    # restore original x/y limits\n",
    "    ax.axis((xmin, xmax, ymin, ymax))\n",
    "\n",
    "# Adding the background\n",
    "add_basemap(ax, zoom=11, url=ctx.sources.ST_TONER_LITE)\n",
    "\n",
    "# Adding the name of the districts\n",
    "for index in pd_districts.index:\n",
    "    plt.annotate(\n",
    "        pd_districts.loc[index].district,\n",
    "        (pd_districts.loc[index].geometry.centroid.x,\n",
    "         pd_districts.loc[index].geometry.centroid.y),\n",
    "        color='#353535',\n",
    "        fontsize='large',\n",
    "        fontweight='heavy',\n",
    "        horizontalalignment='center'\n",
    "    )\n",
    "\n",
    "ax.set_axis_off()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Address"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "범죄별로 발생 지역을 시각화해줍니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "crimes = train['Category'].unique().tolist()\n",
    "crimes.remove('TREA')\n",
    "\n",
    "pd_districts = pd_districts.to_crs({'init': 'epsg:4326'})\n",
    "\n",
    "# geometry containing the union of all geometries \n",
    "sf_land = pd_districts.unary_union"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
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      ],
      "text/plain": [
       "<shapely.geometry.multipolygon.MultiPolygon at 0x1fd817ea208>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sf_land"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "sf_land = gpd.GeoDataFrame(gpd.GeoSeries(sf_land), crs={'init':'epsg:4326'})\n",
    "sf_land = sf_land.rename(columns={0:'geometry'}).set_geometry('geometry')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 18 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(3, 3, sharex=True, sharey=True, figsize=(12,12))\n",
    "for i, crime in enumerate(np.random.choice(crimes, size=9, replace=False)):\n",
    "    data = train_gdf.loc[train_gdf['Category'] == crime]\n",
    "    ax = fig.add_subplot(3, 3, i+1)\n",
    "    gplt.kdeplot(data,\n",
    "                shade=True,\n",
    "                shade_lowest=False, # False일 때, 0에 가까운 빈도를 가진 구역은 진하기를 표현하지 않음\n",
    "                clip=sf_land.geometry,# 주어진 구역만 시각화\n",
    "                cmap='Reds',\n",
    "                ax=ax)\n",
    "    gplt.polyplot(sf_land, ax=ax)\n",
    "    ax.set_title(crime)\n",
    "plt.suptitle('Geographic Density of Diffenrent Crimes')\n",
    "fig.tight_layout(rect=[0, 0.03, 1, 0.95]);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "시간대별 주요 범죄 발생 건수를 시각화해봅니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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>Hour</th>\n",
       "      <th>Date</th>\n",
       "      <th>Category</th>\n",
       "      <th>Dates</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2003-01-06</td>\n",
       "      <td>ASSAULT</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2003-01-06</td>\n",
       "      <td>FORGERY/COUNTERFEITING</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2003-01-06</td>\n",
       "      <td>LARCENY/THEFT</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2003-01-06</td>\n",
       "      <td>OTHER OFFENSES</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>2003-01-06</td>\n",
       "      <td>ROBBERY</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>430787</td>\n",
       "      <td>23</td>\n",
       "      <td>2015-05-12</td>\n",
       "      <td>WEAPON LAWS</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>430788</td>\n",
       "      <td>23</td>\n",
       "      <td>2015-05-13</td>\n",
       "      <td>LARCENY/THEFT</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>430789</td>\n",
       "      <td>23</td>\n",
       "      <td>2015-05-13</td>\n",
       "      <td>OTHER OFFENSES</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>430790</td>\n",
       "      <td>23</td>\n",
       "      <td>2015-05-13</td>\n",
       "      <td>VEHICLE THEFT</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>430791</td>\n",
       "      <td>23</td>\n",
       "      <td>2015-05-13</td>\n",
       "      <td>WARRANTS</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>430792 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Hour        Date                Category  Dates\n",
       "0          0  2003-01-06                 ASSAULT      3\n",
       "1          0  2003-01-06  FORGERY/COUNTERFEITING      1\n",
       "2          0  2003-01-06           LARCENY/THEFT      3\n",
       "3          0  2003-01-06          OTHER OFFENSES      3\n",
       "4          0  2003-01-06                 ROBBERY      1\n",
       "...      ...         ...                     ...    ...\n",
       "430787    23  2015-05-12             WEAPON LAWS      1\n",
       "430788    23  2015-05-13           LARCENY/THEFT      5\n",
       "430789    23  2015-05-13          OTHER OFFENSES      2\n",
       "430790    23  2015-05-13           VEHICLE THEFT      2\n",
       "430791    23  2015-05-13                WARRANTS      1\n",
       "\n",
       "[430792 rows x 4 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# as_index=False: Hour, Date, Category를 index로 지정하지 않음\n",
    "data = train.groupby(['Hour', 'Date', 'Category'],\n",
    "                    as_index=False).count().iloc[:, :4]\n",
    "data"
   ]
  },
  {
   "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>Hour</th>\n",
       "      <th>Category</th>\n",
       "      <th>Incidents</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>ARSON</td>\n",
       "      <td>1.052083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>GAMBLING</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>PROSTITUTION</td>\n",
       "      <td>1.686649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "      <td>ROBBERY</td>\n",
       "      <td>1.329282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>ARSON</td>\n",
       "      <td>1.023529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>851</td>\n",
       "      <td>22</td>\n",
       "      <td>ROBBERY</td>\n",
       "      <td>1.451967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>865</td>\n",
       "      <td>23</td>\n",
       "      <td>ARSON</td>\n",
       "      <td>1.080460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>879</td>\n",
       "      <td>23</td>\n",
       "      <td>GAMBLING</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>887</td>\n",
       "      <td>23</td>\n",
       "      <td>PROSTITUTION</td>\n",
       "      <td>1.843091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>889</td>\n",
       "      <td>23</td>\n",
       "      <td>ROBBERY</td>\n",
       "      <td>1.416509</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>94 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Hour      Category  Incidents\n",
       "0       0         ARSON   1.052083\n",
       "14      0      GAMBLING   1.000000\n",
       "22      0  PROSTITUTION   1.686649\n",
       "24      0       ROBBERY   1.329282\n",
       "37      1         ARSON   1.023529\n",
       "..    ...           ...        ...\n",
       "851    22       ROBBERY   1.451967\n",
       "865    23         ARSON   1.080460\n",
       "879    23      GAMBLING   1.000000\n",
       "887    23  PROSTITUTION   1.843091\n",
       "889    23       ROBBERY   1.416509\n",
       "\n",
       "[94 rows x 3 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.rename(columns={'Dates': 'Incidents'}, inplace=True)\n",
    "data = data.groupby(['Hour', 'Category'], as_index=False).mean()\n",
    "data = data.loc[data['Category'].isin(\n",
    "    ['ROBBERY', 'GAMBLING', 'BUGLARY', 'ARSON', 'PROSTITUTION'])]\n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('whitegrid')\n",
    "fig, ax = plt.subplots(figsize=(14,4))\n",
    "ax = sns.lineplot(data=data, x='Hour', y='Incidents', hue='Category')\n",
    "ax.legend(loc='upper center', bbox_to_anchor=(0.5, 1.15), ncol=6)\n",
    "plt.suptitle('Average number of incidents per hour')\n",
    "fig.tight_layout(rect=[0, 0, 1, 0.95])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "도박은 새벽부터 다음날 아침까지 많이 발생합니다. 매춘은 저녁시간부터 밤새 많이 발생하며, 이른 아침부터 저녁까지 꾸준히 증가하는 것을 볼 수 있습니다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Naive Prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Category\n",
       "ARSON                          0.001727\n",
       "ASSAULT                        0.087716\n",
       "BAD CHECKS                     0.000464\n",
       "BRIBERY                        0.000330\n",
       "BURGLARY                       0.041794\n",
       "DISORDERLY CONDUCT             0.004925\n",
       "DRIVING UNDER THE INFLUENCE    0.002590\n",
       "DRUG/NARCOTIC                  0.061571\n",
       "DRUNKENNESS                    0.004884\n",
       "EMBEZZLEMENT                   0.001329\n",
       "EXTORTION                      0.000292\n",
       "FAMILY OFFENSES                0.000557\n",
       "FORGERY/COUNTERFEITING         0.012095\n",
       "FRAUD                          0.018998\n",
       "GAMBLING                       0.000167\n",
       "KIDNAPPING                     0.002672\n",
       "LARCENY/THEFT                  0.199058\n",
       "LIQUOR LAWS                    0.002168\n",
       "LOITERING                      0.001378\n",
       "MISSING PERSON                 0.029312\n",
       "NON-CRIMINAL                   0.104959\n",
       "OTHER OFFENSES                 0.143835\n",
       "PORNOGRAPHY/OBSCENE MAT        0.000025\n",
       "PROSTITUTION                   0.008503\n",
       "RECOVERED VEHICLE              0.003576\n",
       "ROBBERY                        0.026250\n",
       "RUNAWAY                        0.002163\n",
       "SECONDARY CODES                0.011395\n",
       "SEX OFFENSES FORCIBLE          0.005002\n",
       "SEX OFFENSES NON FORCIBLE      0.000169\n",
       "STOLEN PROPERTY                0.005181\n",
       "SUICIDE                        0.000580\n",
       "SUSPICIOUS OCC                 0.035849\n",
       "TREA                           0.000007\n",
       "TRESPASS                       0.008356\n",
       "VANDALISM                      0.050907\n",
       "VEHICLE THEFT                  0.061327\n",
       "WARRANTS                       0.048126\n",
       "WEAPON LAWS                    0.009763\n",
       "Name: Dates, dtype: float64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "naive_vals = train.groupby('Category').count().iloc[:, 0] / train.shape[0]\n",
    "n_rows = test.shape[0]\n",
    "\n",
    "naive_vals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "submission = pd.DataFrame(\n",
    "    np.repeat(np.array(naive_vals), n_rows).reshape(39, n_rows).transpose(),\n",
    "    columns=naive_vals.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Category</th>\n",
       "      <th>ARSON</th>\n",
       "      <th>ASSAULT</th>\n",
       "      <th>BAD CHECKS</th>\n",
       "      <th>BRIBERY</th>\n",
       "      <th>BURGLARY</th>\n",
       "      <th>DISORDERLY CONDUCT</th>\n",
       "      <th>DRIVING UNDER THE INFLUENCE</th>\n",
       "      <th>DRUG/NARCOTIC</th>\n",
       "      <th>DRUNKENNESS</th>\n",
       "      <th>EMBEZZLEMENT</th>\n",
       "      <th>...</th>\n",
       "      <th>SEX OFFENSES NON FORCIBLE</th>\n",
       "      <th>STOLEN PROPERTY</th>\n",
       "      <th>SUICIDE</th>\n",
       "      <th>SUSPICIOUS OCC</th>\n",
       "      <th>TREA</th>\n",
       "      <th>TRESPASS</th>\n",
       "      <th>VANDALISM</th>\n",
       "      <th>VEHICLE THEFT</th>\n",
       "      <th>WARRANTS</th>\n",
       "      <th>WEAPON LAWS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <td>0.061327</td>\n",
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       "      <td>0.001329</td>\n",
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       "      <td>0.000169</td>\n",
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       "    <tr>\n",
       "      <td>884258</td>\n",
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       "    <tr>\n",
       "      <td>884260</td>\n",
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       "      <td>0.087716</td>\n",
       "      <td>0.000464</td>\n",
       "      <td>0.00033</td>\n",
       "      <td>0.041794</td>\n",
       "      <td>0.004925</td>\n",
       "      <td>0.00259</td>\n",
       "      <td>0.061571</td>\n",
       "      <td>0.004884</td>\n",
       "      <td>0.001329</td>\n",
       "      <td>...</td>\n",
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       "      <td>0.061327</td>\n",
       "      <td>0.048126</td>\n",
       "      <td>0.009763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>884261</td>\n",
       "      <td>0.001727</td>\n",
       "      <td>0.087716</td>\n",
       "      <td>0.000464</td>\n",
       "      <td>0.00033</td>\n",
       "      <td>0.041794</td>\n",
       "      <td>0.004925</td>\n",
       "      <td>0.00259</td>\n",
       "      <td>0.061571</td>\n",
       "      <td>0.004884</td>\n",
       "      <td>0.001329</td>\n",
       "      <td>...</td>\n",
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       "      <td>0.005181</td>\n",
       "      <td>0.00058</td>\n",
       "      <td>0.035849</td>\n",
       "      <td>0.000007</td>\n",
       "      <td>0.008356</td>\n",
       "      <td>0.050907</td>\n",
       "      <td>0.061327</td>\n",
       "      <td>0.048126</td>\n",
       "      <td>0.009763</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>884262 rows × 39 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Category     ARSON   ASSAULT  BAD CHECKS  BRIBERY  BURGLARY  \\\n",
       "0         0.001727  0.087716    0.000464  0.00033  0.041794   \n",
       "1         0.001727  0.087716    0.000464  0.00033  0.041794   \n",
       "2         0.001727  0.087716    0.000464  0.00033  0.041794   \n",
       "3         0.001727  0.087716    0.000464  0.00033  0.041794   \n",
       "4         0.001727  0.087716    0.000464  0.00033  0.041794   \n",
       "...            ...       ...         ...      ...       ...   \n",
       "884257    0.001727  0.087716    0.000464  0.00033  0.041794   \n",
       "884258    0.001727  0.087716    0.000464  0.00033  0.041794   \n",
       "884259    0.001727  0.087716    0.000464  0.00033  0.041794   \n",
       "884260    0.001727  0.087716    0.000464  0.00033  0.041794   \n",
       "884261    0.001727  0.087716    0.000464  0.00033  0.041794   \n",
       "\n",
       "Category  DISORDERLY CONDUCT  DRIVING UNDER THE INFLUENCE  DRUG/NARCOTIC  \\\n",
       "0                   0.004925                      0.00259       0.061571   \n",
       "1                   0.004925                      0.00259       0.061571   \n",
       "2                   0.004925                      0.00259       0.061571   \n",
       "3                   0.004925                      0.00259       0.061571   \n",
       "4                   0.004925                      0.00259       0.061571   \n",
       "...                      ...                          ...            ...   \n",
       "884257              0.004925                      0.00259       0.061571   \n",
       "884258              0.004925                      0.00259       0.061571   \n",
       "884259              0.004925                      0.00259       0.061571   \n",
       "884260              0.004925                      0.00259       0.061571   \n",
       "884261              0.004925                      0.00259       0.061571   \n",
       "\n",
       "Category  DRUNKENNESS  EMBEZZLEMENT  ...  SEX OFFENSES NON FORCIBLE  \\\n",
       "0            0.004884      0.001329  ...                   0.000169   \n",
       "1            0.004884      0.001329  ...                   0.000169   \n",
       "2            0.004884      0.001329  ...                   0.000169   \n",
       "3            0.004884      0.001329  ...                   0.000169   \n",
       "4            0.004884      0.001329  ...                   0.000169   \n",
       "...               ...           ...  ...                        ...   \n",
       "884257       0.004884      0.001329  ...                   0.000169   \n",
       "884258       0.004884      0.001329  ...                   0.000169   \n",
       "884259       0.004884      0.001329  ...                   0.000169   \n",
       "884260       0.004884      0.001329  ...                   0.000169   \n",
       "884261       0.004884      0.001329  ...                   0.000169   \n",
       "\n",
       "Category  STOLEN PROPERTY  SUICIDE  SUSPICIOUS OCC      TREA  TRESPASS  \\\n",
       "0                0.005181  0.00058        0.035849  0.000007  0.008356   \n",
       "1                0.005181  0.00058        0.035849  0.000007  0.008356   \n",
       "2                0.005181  0.00058        0.035849  0.000007  0.008356   \n",
       "3                0.005181  0.00058        0.035849  0.000007  0.008356   \n",
       "4                0.005181  0.00058        0.035849  0.000007  0.008356   \n",
       "...                   ...      ...             ...       ...       ...   \n",
       "884257           0.005181  0.00058        0.035849  0.000007  0.008356   \n",
       "884258           0.005181  0.00058        0.035849  0.000007  0.008356   \n",
       "884259           0.005181  0.00058        0.035849  0.000007  0.008356   \n",
       "884260           0.005181  0.00058        0.035849  0.000007  0.008356   \n",
       "884261           0.005181  0.00058        0.035849  0.000007  0.008356   \n",
       "\n",
       "Category  VANDALISM  VEHICLE THEFT  WARRANTS  WEAPON LAWS  \n",
       "0          0.050907       0.061327  0.048126     0.009763  \n",
       "1          0.050907       0.061327  0.048126     0.009763  \n",
       "2          0.050907       0.061327  0.048126     0.009763  \n",
       "3          0.050907       0.061327  0.048126     0.009763  \n",
       "4          0.050907       0.061327  0.048126     0.009763  \n",
       "...             ...            ...       ...          ...  \n",
       "884257     0.050907       0.061327  0.048126     0.009763  \n",
       "884258     0.050907       0.061327  0.048126     0.009763  \n",
       "884259     0.050907       0.061327  0.048126     0.009763  \n",
       "884260     0.050907       0.061327  0.048126     0.009763  \n",
       "884261     0.050907       0.061327  0.048126     0.009763  \n",
       "\n",
       "[884262 rows x 39 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "submission"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "train 데이터에서 각 Category의 비율을 test 데이터에 그대로 넣은 것입니다. 모든 row의 값은 동일합니다. submission했을 때 score는 2.68015입니다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Methodology"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Data Wranling"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2323개의 중복행과 67개의 잘못된 위도, 경도 값이 있었습니다. 이는 이미 위에서 처리했습니다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Feature Engineering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "def feature_engineering(data):\n",
    "    # object type -> datetime type으로\n",
    "    data['Date'] = pd.to_datetime(data['Dates'].dt.date) \n",
    "    # timedelta type -> int type으로\n",
    "    data['n_days'] = (\n",
    "        data['Date'] - data['Date'].min()).apply(lambda x: x.days)\n",
    "    data['Day'] = data['Dates'].dt.day\n",
    "    data['DayOfWeek'] = data['Dates'].dt.weekday\n",
    "    data['Month'] = data['Dates'].dt.month\n",
    "    data['Year'] = data['Dates'].dt.year\n",
    "    data['Hour'] = data['Dates'].dt.hour\n",
    "    data['Minute'] = data['Dates'].dt.minute\n",
    "    data['Block'] = data['Address'].str.contains('block', case=False)\n",
    "    \n",
    "    data.drop(columns=['Dates', 'Date', 'Address'], inplace=True)\n",
    "    \n",
    "    return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Category</th>\n",
       "      <th>DayOfWeek</th>\n",
       "      <th>PdDistrict</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day</th>\n",
       "      <th>Hour</th>\n",
       "      <th>n_days</th>\n",
       "      <th>Minute</th>\n",
       "      <th>Block</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>WARRANTS</td>\n",
       "      <td>2</td>\n",
       "      <td>NORTHERN</td>\n",
       "      <td>-122.425892</td>\n",
       "      <td>37.774599</td>\n",
       "      <td>2015</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>23</td>\n",
       "      <td>4510</td>\n",
       "      <td>53</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>OTHER OFFENSES</td>\n",
       "      <td>2</td>\n",
       "      <td>NORTHERN</td>\n",
       "      <td>-122.425892</td>\n",
       "      <td>37.774599</td>\n",
       "      <td>2015</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>23</td>\n",
       "      <td>4510</td>\n",
       "      <td>53</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>OTHER OFFENSES</td>\n",
       "      <td>2</td>\n",
       "      <td>NORTHERN</td>\n",
       "      <td>-122.424363</td>\n",
       "      <td>37.800414</td>\n",
       "      <td>2015</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>23</td>\n",
       "      <td>4510</td>\n",
       "      <td>33</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>LARCENY/THEFT</td>\n",
       "      <td>2</td>\n",
       "      <td>NORTHERN</td>\n",
       "      <td>-122.426995</td>\n",
       "      <td>37.800873</td>\n",
       "      <td>2015</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>23</td>\n",
       "      <td>4510</td>\n",
       "      <td>30</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>LARCENY/THEFT</td>\n",
       "      <td>2</td>\n",
       "      <td>PARK</td>\n",
       "      <td>-122.438738</td>\n",
       "      <td>37.771541</td>\n",
       "      <td>2015</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>23</td>\n",
       "      <td>4510</td>\n",
       "      <td>30</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Category  DayOfWeek PdDistrict           X          Y  Year  Month  \\\n",
       "0        WARRANTS          2   NORTHERN -122.425892  37.774599  2015      5   \n",
       "1  OTHER OFFENSES          2   NORTHERN -122.425892  37.774599  2015      5   \n",
       "2  OTHER OFFENSES          2   NORTHERN -122.424363  37.800414  2015      5   \n",
       "3   LARCENY/THEFT          2   NORTHERN -122.426995  37.800873  2015      5   \n",
       "4   LARCENY/THEFT          2       PARK -122.438738  37.771541  2015      5   \n",
       "\n",
       "   Day  Hour  n_days  Minute  Block  \n",
       "0   13    23    4510      53  False  \n",
       "1   13    23    4510      53  False  \n",
       "2   13    23    4510      33  False  \n",
       "3   13    23    4510      30   True  \n",
       "4   13    23    4510      30   True  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train = feature_engineering(train)\n",
    "train.drop(columns=['Descript', 'Resolution'], inplace=True)\n",
    "test = feature_engineering(test)\n",
    "train.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Descript와 Resolution은 train 데이터에만 있으므로 예측하는데 필요없는 feature입니다. 분석을 위한 feature가 되기 위해서는 train 데이터에도 test 데이터에도 모두 존재해야 합니다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Feature Scaling"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tree-based model에서는 feature scaling이 따로 필요없습니다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Feature Selection"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Feature engineering 후 총 11개의 feature가 남았습니다. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <style>\n",
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       "\n",
       "    \n",
       "        <table class=\"eli5-weights eli5-feature-importances\" style=\"border-collapse: collapse; border: none; margin-top: 0em; table-layout: auto;\">\n",
       "    <thead>\n",
       "    <tr style=\"border: none;\">\n",
       "        <th style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">Weight</th>\n",
       "        <th style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">Feature</th>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 80.00%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0590\n",
       "                \n",
       "                    &plusmn; 0.0004\n",
       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                Minute\n",
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       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 80.47%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0570\n",
       "                \n",
       "                    &plusmn; 0.0006\n",
       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                Y\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 84.31%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0417\n",
       "                \n",
       "                    &plusmn; 0.0010\n",
       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                X\n",
       "            </td>\n",
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       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 88.77%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0259\n",
       "                \n",
       "                    &plusmn; 0.0007\n",
       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                n_days\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 90.52%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0203\n",
       "                \n",
       "                    &plusmn; 0.0009\n",
       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                Block\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 90.81%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0194\n",
       "                \n",
       "                    &plusmn; 0.0003\n",
       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                Year\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 91.28%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0180\n",
       "                \n",
       "                    &plusmn; 0.0007\n",
       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                PdDistrict\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 92.29%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0151\n",
       "                \n",
       "                    &plusmn; 0.0007\n",
       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                Hour\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 94.45%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0094\n",
       "                \n",
       "                    &plusmn; 0.0004\n",
       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                Month\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 96.70%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0045\n",
       "                \n",
       "                    &plusmn; 0.0006\n",
       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                Day\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 97.90%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0024\n",
       "                \n",
       "                    &plusmn; 0.0003\n",
       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                DayOfWeek\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "    \n",
       "    </tbody>\n",
       "</table>\n",
       "    \n",
       "\n",
       "    \n",
       "\n",
       "\n",
       "    \n",
       "\n",
       "    \n",
       "\n",
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       "\n",
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       "\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "PdDistrict_le = LabelEncoder()\n",
    "train['PdDistrict'] = PdDistrict_le.fit_transform(train['PdDistrict'])\n",
    "test['PdDistrict'] = PdDistrict_le.transform(test['PdDistrict'])\n",
    "\n",
    "Category_le = LabelEncoder()\n",
    "y = Category_le.fit_transform(train.pop('Category'))\n",
    "\n",
    "train_X, val_X, train_y, val_y = train_test_split(train, y)\n",
    "model = LGBMClassifier(objective='multiclass', num_class=39).fit(train_X, train_y)\n",
    "\n",
    "# 하나의 column을 섞어 성능을 구했을 때 성능 감소량이 그 feature의 중요도임\n",
    "perm = PermutationImportance(model).fit(val_X, val_y)\n",
    "eli5.show_weights(perm, feature_names=val_X.columns.tolist())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Permutation Importance: 이미 훈련된 모델에서 어떤 feature가 중요한지 판단하는 지표입니다. 하나의 feature를 섞고, 나머지 feature는 그대로 둔 채 성능을 평가합니다. 성능의 감소치만큼 해당 feature가 중요하다는 것을 의미합니다. 같은 방식으로 모든 feature를 섞어가며 해당 feature의 중요도를 측정합니다. 위 도표는 feature의 중요도를 순서대로 나타낸 표입니다.\n",
    "결론적으로 Permutation Importance는 특정 feature가 예측 정확도에 얼마나 많은 영향을 미치는가 판단할 수 있는 지표입니다. 하지만 예측을 더 정확하게 하는 방향으로 영향을 미치는지 더 부정확하게 하는 방향으로 영향을 미치는지 (즉, direction)은 알 수가 없습니다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Building Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Loading the data\n",
    "train = pd.read_csv('./data/train.csv', parse_dates=['Dates'])\n",
    "test = pd.read_csv('./data/test.csv', parse_dates=['Dates'], index_col='Id')\n",
    "\n",
    "# Data cleaning\n",
    "train.drop_duplicates(inplace=True)\n",
    "train.replace({'X': -120.5, 'Y': 90.0}, np.NaN, inplace=True)\n",
    "test.replace({'X': -120.5, 'Y': 90.0}, np.NaN, inplace=True)\n",
    "\n",
    "imp = SimpleImputer(strategy='mean')\n",
    "\n",
    "for district in train['PdDistrict'].unique():\n",
    "    train.loc[train['PdDistrict'] == district, ['X', 'Y']] = imp.fit_transform(\n",
    "        train.loc[train['PdDistrict'] == district, ['X', 'Y']])\n",
    "    test.loc[test['PdDistrict'] == district, ['X', 'Y']] = imp.transform(\n",
    "        test.loc[test['PdDistrict'] == district, ['X', 'Y']])\n",
    "train_data = lgb.Dataset(\n",
    "    train, label=y, categorical_feature=['PdDistrict'], free_raw_data=False)\n",
    "\n",
    "# Feature Engineering\n",
    "train = feature_engineering(train)\n",
    "train.drop(columns=['Descript','Resolution'], inplace=True)\n",
    "test = feature_engineering(test)\n",
    "\n",
    "# Encoding the Categorical Variables\n",
    "le1 = LabelEncoder()\n",
    "train['PdDistrict'] = le1.fit_transform(train['PdDistrict'])\n",
    "test['PdDistrict'] = le1.transform(test['PdDistrict'])\n",
    "\n",
    "le2 = LabelEncoder()\n",
    "X = train.drop(columns=['Category'])\n",
    "y= le2.fit_transform(train['Category'])\n",
    "\n",
    "# Creating the model\n",
    "train_data = lgb.Dataset(\n",
    "    X, label=y, categorical_feature=['PdDistrict'])\n",
    "\n",
    "params = {'boosting':'gbdt',\n",
    "          'objective':'multiclass',\n",
    "          'num_class':39,\n",
    "          'max_delta_step':0.9,\n",
    "          'min_data_in_leaf': 21,\n",
    "          'learning_rate': 0.4,\n",
    "          'max_bin': 465,\n",
    "          'num_leaves': 41\n",
    "         }\n",
    "\n",
    "bst = lgb.train(params, train_data, 100)\n",
    "\n",
    "predictions = bst.predict(test)\n",
    "\n",
    "# Submitting the results\n",
    "submission = pd.DataFrame(\n",
    "    predictions,\n",
    "    columns=le2.inverse_transform(np.linspace(0, 38, 39, dtype='int16')),\n",
    "    index=test.index)\n",
    "submission.to_csv(\n",
    "    'LGBM_final.csv', index_label='Id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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