ex02_선형분류실습(직원이직여부예측)final.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "100d449a-a50a-4af2-864a-6c26ca44f2ce",
   "metadata": {},
   "source": [
    "### 문제정의\n",
    "- hr 데이터를 통해 사내 이직률 확인\n",
    "- 직원의 이직 여부 판단 -> 정보가 없는 직원의 이직률 하락\n",
    "- 이직률과 연관이 있는 사항들을 지속적으로 모니터링, 개선"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a6c9d0a7-a653-479b-95fe-9f6f09a02f91",
   "metadata": {},
   "outputs": [],
   "source": [
    "# warnings 제거\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1c500092-19b0-468a-82e9-a783ad041668",
   "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>Age</th>\n",
       "      <th>Attrition</th>\n",
       "      <th>BusinessTravel</th>\n",
       "      <th>DailyRate</th>\n",
       "      <th>Department</th>\n",
       "      <th>DistanceFromHome</th>\n",
       "      <th>Education</th>\n",
       "      <th>EducationField</th>\n",
       "      <th>EmployeeCount</th>\n",
       "      <th>EmployeeNumber</th>\n",
       "      <th>...</th>\n",
       "      <th>RelationshipSatisfaction</th>\n",
       "      <th>StandardHours</th>\n",
       "      <th>StockOptionLevel</th>\n",
       "      <th>TotalWorkingYears</th>\n",
       "      <th>TrainingTimesLastYear</th>\n",
       "      <th>WorkLifeBalance</th>\n",
       "      <th>YearsAtCompany</th>\n",
       "      <th>YearsInCurrentRole</th>\n",
       "      <th>YearsSinceLastPromotion</th>\n",
       "      <th>YearsWithCurrManager</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>41</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>1102</td>\n",
       "      <td>Sales</td>\n",
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       "      <td>Life Sciences</td>\n",
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       "      <td>No</td>\n",
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       "      <td>279</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>1</td>\n",
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       "      <td>Yes</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>1373</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>Other</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>33</td>\n",
       "      <td>No</td>\n",
       "      <td>Travel_Frequently</td>\n",
       "      <td>1392</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>80</td>\n",
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       "      <th>4</th>\n",
       "      <td>27</td>\n",
       "      <td>No</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>591</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1</td>\n",
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       "      <th>1465</th>\n",
       "      <td>36</td>\n",
       "      <td>No</td>\n",
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       "      <td>884</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>23</td>\n",
       "      <td>2</td>\n",
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       "      <td>2061</td>\n",
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       "      <td>39</td>\n",
       "      <td>No</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>613</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1</td>\n",
       "      <td>2062</td>\n",
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       "      <td>7</td>\n",
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       "    </tr>\n",
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       "      <th>1467</th>\n",
       "      <td>27</td>\n",
       "      <td>No</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>155</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>1</td>\n",
       "      <td>2064</td>\n",
       "      <td>...</td>\n",
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       "      <td>80</td>\n",
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       "      <td>2</td>\n",
       "      <td>0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1468</th>\n",
       "      <td>49</td>\n",
       "      <td>No</td>\n",
       "      <td>Travel_Frequently</td>\n",
       "      <td>1023</td>\n",
       "      <td>Sales</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1</td>\n",
       "      <td>2065</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1469</th>\n",
       "      <td>34</td>\n",
       "      <td>No</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>628</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1</td>\n",
       "      <td>2068</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1470 rows × 35 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Age Attrition     BusinessTravel  DailyRate              Department  \\\n",
       "0      41       Yes      Travel_Rarely       1102                   Sales   \n",
       "1      49        No  Travel_Frequently        279  Research & Development   \n",
       "2      37       Yes      Travel_Rarely       1373  Research & Development   \n",
       "3      33        No  Travel_Frequently       1392  Research & Development   \n",
       "4      27        No      Travel_Rarely        591  Research & Development   \n",
       "...   ...       ...                ...        ...                     ...   \n",
       "1465   36        No  Travel_Frequently        884  Research & Development   \n",
       "1466   39        No      Travel_Rarely        613  Research & Development   \n",
       "1467   27        No      Travel_Rarely        155  Research & Development   \n",
       "1468   49        No  Travel_Frequently       1023                   Sales   \n",
       "1469   34        No      Travel_Rarely        628  Research & Development   \n",
       "\n",
       "      DistanceFromHome  Education EducationField  EmployeeCount  \\\n",
       "0                    1          2  Life Sciences              1   \n",
       "1                    8          1  Life Sciences              1   \n",
       "2                    2          2          Other              1   \n",
       "3                    3          4  Life Sciences              1   \n",
       "4                    2          1        Medical              1   \n",
       "...                ...        ...            ...            ...   \n",
       "1465                23          2        Medical              1   \n",
       "1466                 6          1        Medical              1   \n",
       "1467                 4          3  Life Sciences              1   \n",
       "1468                 2          3        Medical              1   \n",
       "1469                 8          3        Medical              1   \n",
       "\n",
       "      EmployeeNumber  ...  RelationshipSatisfaction StandardHours  \\\n",
       "0                  1  ...                         1            80   \n",
       "1                  2  ...                         4            80   \n",
       "2                  4  ...                         2            80   \n",
       "3                  5  ...                         3            80   \n",
       "4                  7  ...                         4            80   \n",
       "...              ...  ...                       ...           ...   \n",
       "1465            2061  ...                         3            80   \n",
       "1466            2062  ...                         1            80   \n",
       "1467            2064  ...                         2            80   \n",
       "1468            2065  ...                         4            80   \n",
       "1469            2068  ...                         1            80   \n",
       "\n",
       "      StockOptionLevel  TotalWorkingYears  TrainingTimesLastYear  \\\n",
       "0                    0                  8                      0   \n",
       "1                    1                 10                      3   \n",
       "2                    0                  7                      3   \n",
       "3                    0                  8                      3   \n",
       "4                    1                  6                      3   \n",
       "...                ...                ...                    ...   \n",
       "1465                 1                 17                      3   \n",
       "1466                 1                  9                      5   \n",
       "1467                 1                  6                      0   \n",
       "1468                 0                 17                      3   \n",
       "1469                 0                  6                      3   \n",
       "\n",
       "     WorkLifeBalance  YearsAtCompany YearsInCurrentRole  \\\n",
       "0                  1               6                  4   \n",
       "1                  3              10                  7   \n",
       "2                  3               0                  0   \n",
       "3                  3               8                  7   \n",
       "4                  3               2                  2   \n",
       "...              ...             ...                ...   \n",
       "1465               3               5                  2   \n",
       "1466               3               7                  7   \n",
       "1467               3               6                  2   \n",
       "1468               2               9                  6   \n",
       "1469               4               4                  3   \n",
       "\n",
       "      YearsSinceLastPromotion  YearsWithCurrManager  \n",
       "0                           0                     5  \n",
       "1                           1                     7  \n",
       "2                           0                     0  \n",
       "3                           3                     0  \n",
       "4                           2                     2  \n",
       "...                       ...                   ...  \n",
       "1465                        0                     3  \n",
       "1466                        1                     7  \n",
       "1467                        0                     3  \n",
       "1468                        0                     8  \n",
       "1469                        1                     2  \n",
       "\n",
       "[1470 rows x 35 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "# 데이터 불러오기\n",
    "data = pd.read_csv('data/job_transfer.csv')\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ecf0ee9f-546a-4489-a1c9-250212fbf42f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1470 entries, 0 to 1469\n",
      "Data columns (total 35 columns):\n",
      " #   Column                    Non-Null Count  Dtype \n",
      "---  ------                    --------------  ----- \n",
      " 0   Age                       1470 non-null   int64 \n",
      " 1   Attrition                 1470 non-null   object\n",
      " 2   BusinessTravel            1470 non-null   object\n",
      " 3   DailyRate                 1470 non-null   int64 \n",
      " 4   Department                1470 non-null   object\n",
      " 5   DistanceFromHome          1470 non-null   int64 \n",
      " 6   Education                 1470 non-null   int64 \n",
      " 7   EducationField            1470 non-null   object\n",
      " 8   EmployeeCount             1470 non-null   int64 \n",
      " 9   EmployeeNumber            1470 non-null   int64 \n",
      " 10  EnvironmentSatisfaction   1470 non-null   int64 \n",
      " 11  Gender                    1470 non-null   object\n",
      " 12  HourlyRate                1470 non-null   int64 \n",
      " 13  JobInvolvement            1470 non-null   int64 \n",
      " 14  JobLevel                  1470 non-null   int64 \n",
      " 15  JobRole                   1470 non-null   object\n",
      " 16  JobSatisfaction           1470 non-null   int64 \n",
      " 17  MaritalStatus             1470 non-null   object\n",
      " 18  MonthlyIncome             1470 non-null   int64 \n",
      " 19  MonthlyRate               1470 non-null   int64 \n",
      " 20  NumCompaniesWorked        1470 non-null   int64 \n",
      " 21  Over18                    1470 non-null   object\n",
      " 22  OverTime                  1470 non-null   object\n",
      " 23  PercentSalaryHike         1470 non-null   int64 \n",
      " 24  PerformanceRating         1470 non-null   int64 \n",
      " 25  RelationshipSatisfaction  1470 non-null   int64 \n",
      " 26  StandardHours             1470 non-null   int64 \n",
      " 27  StockOptionLevel          1470 non-null   int64 \n",
      " 28  TotalWorkingYears         1470 non-null   int64 \n",
      " 29  TrainingTimesLastYear     1470 non-null   int64 \n",
      " 30  WorkLifeBalance           1470 non-null   int64 \n",
      " 31  YearsAtCompany            1470 non-null   int64 \n",
      " 32  YearsInCurrentRole        1470 non-null   int64 \n",
      " 33  YearsSinceLastPromotion   1470 non-null   int64 \n",
      " 34  YearsWithCurrManager      1470 non-null   int64 \n",
      "dtypes: int64(26), object(9)\n",
      "memory usage: 402.1+ KB\n"
     ]
    }
   ],
   "source": [
    "#데이터 정보확인\n",
    "data.info()\n",
    "# 1. Dtype 2. Non-Null -> 결측치 여부 확인\n",
    "# 2. 결측치 없음 확인!"
   ]
  },
  {
   "attachments": {
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IikilUvzRhdJ/SMThcDx79gwpBtQGrr4ZGRlhPYHW1tbq6+vz6ZtwOPzkyZNIJILKBAAcHR2pVKpsNlugvhkYGJiamkKDMolEoq2tDWG/Qt+43e6XL196PB68dgDAtfrG4/FUVlYi3yOaprVaLTTsKS5DRUVFTn0jlUrXc4XOzs5r9U0qlZJKpfj43erqamtrK2r8wcGBUChEHFD6j43QNN3R0TE5OVlZWYk3/hb6xuVy1dXV/djukNoJAUKAEPhbELiZvkmn03K53OfzWa3Wzs5O9CChKGp1dbWurq6kpMRwGfx+/8nJycDAQHFxsUajMRgMGxsbMP/Z2dny8nI8Hu/o6ODz+XBcw+/3Ly4uQmQ0TRuNxo8fP7a1tRkMhtHRUYRyamqKJQVSqdTY2BiPx2tra9ve3kZNgoccXQaapqenp2tra+Vy+cXFBSoNepCwDsH3orjRaCwqKjIajSgFRrj6JhaLFRcXK5VKp9N5dnb2ZaTp9evXyCeGa785OTl59eoVq1ifzyeXy9PpdIH6hsfj4W5ANE13dXU5nU5Y7BX6ZmFh4dOnT21tbawGXKtvFhcXh4aG8KMcDkd5eTlK+R7jU5FIpLm5ORqNoloSiQRyxwEAaLXa5eVltJdhGJvNJhaLa2trcf0HM3i9XrFYXF1d3dnZyTVGokIAAMlkcnh4+PPnz+3t7YeHh/guAIDZbPZ4PMfHxwKBoKOjA2k+lA3aulwul06nGx8fR+k59U08Hu/t7a2rq5NKpdDNCOUHAAQCgVevXrGG5PAMJE4IEAKEACEACdxM3/h8PrFYnEwm/X6/UChE3pEURZnNZj6fX1lZaboM4XD49PR0bGzs48ePQ0NDJpPJarVCJWGxWMrLyw0Gg9Fo3NzchHrFZrMJBALYJpqmJycnS0tLNRqNyWRCugcAUFJSghsbAoFAU1NTR0fH+vr6wsICj8fr7OzEHRrm5uYkEolUKh0aGjKbzXq9nsfjoREBhmEaGhr0ev3VV4PD4RAIBAcHB2VlZVtbW/hoDlffwBGi9fX1gYEBg8EwPz+PCzKuvslkMh8+fNja2sJl1uLiol6vp2m6EH3DMMzHjx9Z07JGR0dXVlZgv/Lpm7Ozs5aWlqOjo4aGhrm5Odw6da2+GRsbw88LACAYDOImrnz6RqfTuXKF4eHha+03wWBQKBTi5xcAsLy8XFNTk06nT09Pa2pqkIGEYZjR0dHW1tbl5eXt7W2tVsvn89Gp393dLSoqGhsb29nZmZqa6u3t5eoSSM/pdNbU1HR1dW1vb09PT/N4vN7eXpyVXC5XKpUqlWpxcdFqteKeT7AEmqZVKpXNZru4uGhsbEQt5Oobp9NZV1dnMBjMZvPMzEx9ff3o6Ch+vaXT6aKiIlzLwirIX0KAECAECAEWgZvpm5GRkYGBAYZhstmsWCxG021goT09PazxqUQi0djYiAZKYLYvvrePHj1aWVnBn+i4voESgeVaAY9l6RuZTKbX69ETJZFINDc3I+dfAMDc3Fx9fT0ynyQSiYaGBuQJyzDM0tIS7s/BosMwzMbGRllZmcPhYBjG6/U2NzdPTEygxxtL37hcrv39/b29va2tLbPZvLCwYDQae3p6FAqFXC5PpVJcfQMAcLvdlZWVIyMjbrf74OBAp9NVV1fDydWF6BsAwIcPH9BTE3bBaDQuLS3BeE5943A4Pn78uLa2RtN0MBiUSCR9fX3oGX+tvsHLh7WEQqGnT58iMjn1jc1mUyqVnbmCSqViGYRY5wIA4Pf7pVIpUtUwQzab5fP5ZrO5oaEBn5u2v79fWlqKDDPZbFYoFMIMDMPo9Xp8GJFVJqo6Ho9XV1ePj4+ja8zv9z979gx3cpfL5WVlZdD5CR2IR6C+2dvbo2l6aGgI/Ua4+qalpWV2dhb9Ls7OzmpqaljT7Gtqan6ecVu8myROCBAChMBPReAG+oaiqOLiYmQzn56ebmxsxDtTuL55/vw5emDAEm6hb+Lx+OPHj3FzDgBgaWmpvb0dtWpubq63txdtUhSlUCjMZjNKuTrS3d3d2tqKG2ASiURXVxdaf4Wlb/r7+0UikUQikclk9fX1z58/n5iYMJvNR0dH0HKQU98AAEKhEByVEAgEo6OjCE6B+qa+vh7nQNN0d3c3muDN1Tcmk0kgEOBDddls1mg0IgvHtfpmYWGBJUcODg7evXsX/hoGBwe5/jdX0752r9/vl8lkXC1it9vLyspKSkqQugIAiEQiaPygv4bNzU2VSgVrMZlMNTU1gUAAP4TbAJvNVlpaigQHzDAxMSGXy1GiXC6/uqdI3wAAYrHYq1evoEBh6ZtIJFJSUoIEGayrp6eHNc2ex+NtbW1xm0pSCAFCgBAgBHACN9A3u7u7Dx486O/vH7kMarX6t99+Q6YRAEDh+ub169d4IwAAt9A3drv92bNnyOQAC9zf38cdMFn6Bs5kQQM3rDZwN/Mt34eGOQYHB3GVgJdgsVgqKipgyt7e3vRlEIlEuI0Bz58zXqC+6enpmZ+fRyWk02mRSIRODVffeL3enD4cqF9TU1NXGCQAAE6ns7q6GukwaBGpqqrq/hpqa2vxp34gEFhbW1spIJyfn6OOsCLBYLCtrY11xgEA0MqCn9ZsNltRUdHU1KTFgkgkEovFUNAkEonBwUE4uGmz2fKpnJWVFaFQyGoGHNFDzZDL5biGZmWGPl4qlQpNntrZ2eHz+ZFIJJlM4qOlm5ubtbW1LPU2Pz9fXV2Nysxms+/fv0eeVSidRAgBQoAQIARYBG6gb2QymVKpxOe+VFRU4P6Sf7G+sVqtz549S6VSeJesVmtNTQ1K+UZ9AwDIZDKbm5sbeYLZbEaaAFUKI7i+OTo62rwMarX6e+ib4+NjHo+HHFOGhobUajV6ZnP1DWphnm5trK+v4268rK7BZ3Zzc3NfXx80Y7hcrrKyskgkkvoaRkdHccPD2dnZ+Pj46P+G58+fd3V1/W/a6BXOJeFwuKmpiavM0ul0S0sLWnQRjm+Wl5evrq4G/zfgJ4thmGg0Ojs7+/r1azh6yO3mysoKPj8LZoCuxLfWN3DdoLm5uWQy2dDQgJpkNpvr6upY+mZhYeHz58+oYaFQ6PXr16yxSLSXRAgBQoAQIAQQgUL1TSAQqKiowEdqAACbm5sCgQCtrmswGGQyGSoaAJDP/+Za+w1FUa2trdvb23hpLP/iSCTy5MkT5EwDcy4tLeFt+HZ9k0gkhoeHe/OEiooK7vO4q6trdnb26OhoYGCA1f75+fmFhQWUmMlkzGazyWSampqamJgYGxsbHBzs7u5WqVRisbixsXF/f7+Q9Ytpml5YWGhoaOjr61OpVM3NzeFwGNWST98MDQ3l6VZvVVUVGt5C5bAiiURCIpGo1eq+vr7GxkbWoElO/xtWCW/evGGdPlYG1iaskft05+obAEBbWxuXP6tAuJlOp2tqamw2G3ev1WqtqKhAZiqYYWpqSi6XI7ffm9pv4Px/Pp8fCoWEQiHSN8FgsKysDPcTZximt7dXp9Ohhnk8HmQURIkkQggQAoQAIcAlUKi+2d7eFolErOOz2WxVVRV6RI2OjvJ4POSXACfW8ng8r9eLH2ixWK7VNwzDSCSSiYkJ/ECWvoF5+vv70ZOGYRjW8m7X6pt0Oo3sHKy6Ctlk+d/AQ1Qq1eTkZM7DQ5cB7aIoCn0CYnNzc3t722azud3u8/PzSCSSyWTi8Xgh+gYAAN2frVary+VCihNWlE/foGZwI9f638BDUqmU0+nc3d29uLjAz3u+7zOwKrqpvqEoCk6/YpWTU9/s7u4WFxfnHD2Ey2qjBsMLCXcZRuXHYrGqqqrp6WmUEg6HX79+jfuw30LfUBQFVzQWi8VI3zAM09zcjLzC4ZS0uro6XECbzWZc7qBWkQghQAgQAoQAi0Ch+qa7uxv38EClKBQKNE/Y5XK9fv36+Pg4eRkAANCfd2BgIJvNomGFQvQNAGB0dPTDhw/xeBx/o2XNnwqHw+/fvx8bG0skEj6fr6ampqWlBQ0cwPlTuG8Ey/+GYRiWmwjqV4GRm+qbAotF2Qr0v0H5c0a+n77JWR1M/B72GwDA6uoqmn+Eas+pbwAA3d3dlZWVx8fH2WwWzr2CWgGaFfV6fTAYpCjK6XSWl5fn8/txOp1PnjyZnJzMZDInJyeVlZVisRhVDQC4hb4BAKRSqcePH7PWL3Y4HK9evVpeXk4mk6enp58+feru7kbynaZpnU6HHPzxNpA4IUAIEAKEAItAofpmamoq56uw3W5H+gYAMDU1JRQKRSIRWgbt9PRULpcLhcLR0VH4xuzxeLhLzni9Xpa1Jh6P63S6lpYWqVSKDBL9/f243AEAeL3ezs7OlpYWkUg0MjLCcseB1hHUZ4ZhlpeXkXsmwzD9/f05dRs65OpIPn0jEonm8gTWOM7V5RN9w+ITiUTev3/P8n3OZrMmk4m1DAGU18vLyxKJpLW1tb29fWZmBmnfcDg8MjIikUhEIhFcSQ+Zc1g1AgDOzs46OjqEQqFYLF5YWGDlXFhYuHpGHlyGgNVmAMDu7u7Y2Bi6tmG9LpdLpVK1tLSIxeLZ2VncHScSibS2tuIjj9ymkhRCgBAgBAgBSKBQfVMgL4ZhUqkUy1+BoqjbfdIZllbI+NGtP2lOURR6Py6wj3i2gYEBruw7OjpaX1/P57p7o/fvVCql1WpZPPEGFBLP6Ql09YGTk5Pc5/HVh7D2Qr8iViJrUyqVckUJKw93c25uDk3z5u7lpsDLL+dZpigqlUrl3MUqB36W/BtPBKvMfJv5LvuJiQnWcn/5SiDphAAhQAgQAnesbwhQQuAvIDA1NfXXSI2/oC+FV2E0Gq+e1FZ4USQnIUAIEAL3ngDRN/f+FJMOEgKEACFACBACvxwBom9+uVNOOkwIEAKEACFACNx7AkTf3PtTTDpICBAChAAhQAj8cgSIvvnlTjnpMCFACBAChAAhcO8JEH1z708x6SAhQAgQAoQAIfDLESD65pc75aTDhAAhQAgQAoTAvSdA9M29P8Wkg4QAIUAIEAKEwC9HgOibX+6Ukw4TAoQAIUAIEAL3ngDRN/f+FJMOEgKEACFACBACvxwBom9+uVNOOkwIEAKEACFACNx7AkTf3PtTDGiaZn3E8do+ZzIZ1lckrz6Epmn8S5BXZ0Z7Y7HYTRuGjoWf4C7k01H4Idz4tzSAWxqeYjab9/b28BQSJwQIAULgryGQSCQWFxe//Q7517T2O9VC9M13AvtNxV5cXFit1hspjCvqOzs76+3tzVlaKpXyer2hUIj1MxgeHr7Rly89Hs/4+PgVbci5q6+v71sUgFgsPj4+zllygYmpVKqrq6uQD7gWWCDKFg6H379/z/32KsrwC0ZSqZTFYvk7fjjs5OTEarX+zKcslUpNTU2lUqmfuZE3bdvh4eE3/sBvWuPfIv/m5mYkErm2qdlsVqvVbm1tXZvzHme4gb5JJpPeryEcDqfT6Tt8MIRCoYGBgXg8/kNYMwwTDoe/du5//p+fn7Oe/X9BC81ms1arLbDecDis+BrkcrlMJvu6pfD5fAAAp9PZ0NDA0jfRaFShULx69aq+vr6srKy8vNzhcKCuiUQi7p2FYZhAIDAzM9PR0WEymUKhECpzf39foVCgw/NFTk9PN7FQU1PT3d2NJWzi34+MRqMdX4NWq/0a7ejp6YHlv3r1ymaz5asLpq+vry8uLuJ5zGbz8PAwTEkkErW1tdwnrtVqncgf3G43XmDOuMlkwj9ynslkfD4f94RGo9Fb2L1y1pgzMR6P/8/VjG389c/CYDDY0NCQSCRyNhVPpGna7/djjf3/oz9EMs7OznZ0dOAtvDqeSCRQi+/8Vpmz6mAw+OjRo0AgkHNvgYnZbNbn86GW45FvLLnABrCy9ff3T09PsxKv2IxGo3ibYfwOH1JXVP1X7mpqanI6nYXUuLe39/btW3SXLuSQe5bnBvpmfn7+999/l10GsVjc0tLS1ta2u7t7J/iOjo6MLCYAACAASURBVI54PJ7L5fohfCmKmp6elnwNDx48qKqqgltSqbSQO/LdNvtG+iadTu98DZ2dnUql8uvWDmw5V9+k02m1Wj01NQUfrgzDuN3uysrKk5MT2BGuvqFpenR0VCgUGo3GjY2NsbExoVA4PDwMSyhQ39jt9rGvYXR09NGjRwKB4GvCf//jRqNUKrX1NbS2tg4NDcGt3d1d2MhC9M3ExMTg4CB+dqampqRSKUzJp290Op1Wq53NE7jKDy8fDpzJ5fKzszOU7nA4nj59Ojo6iv9YaJrWaDQ7Ozso251Htra2vl7Ukjdv3hQXF6PNAm+Rd9ikwvVNIpEwGAyoqY8fP+bz+XBTLpffYZMKLOqm+sZoNH748KH9MrS1tTU1NYlEIrvdXmB1t8h2J/omEAh0dnZCzi0tLQ8fPmxuboab/f39t2jVNx5yI33DMIxWq0X3bXTxhEKhb2zGDzzcfhlYDShc31AUVV5e/i02clbVf7vNm+mb4uJi5jJks9lYLLa7u1tVVXUnb1Q0TUejUfzu/xejpGma+hpevny5tLT0dYv6i1sCALiRvsGbZzQae3t78ZSc9ptQKCQWi1mWA5VKNTMzA4/l6pv9/f2SkhLcZhONRoVCIfzxFKhv8Iatra29e/eura2tEPmoVqtXV1fxwwEA30/fdHV1bW5usqorfNPv96vVatyzx+FwCASCiooKj8eDyvkL9A3DMOgylkqlOp0Obf71v7XC9Q0A/3UaQ00tKSlxOBxoEwH8yyK30Dd6vZ6+DJlMJhqNzszMvHz5Epfvd9v4O9E3+NXi8/nevn17fn4OsXNNj3fb/pyl3ULf4Pdt2PKcJf9dEnt7ewcGBlitLVzfAABWV1d1Oh2rhF9n82b65v379yw0DQ0N+LhGMpnErf0MwyQSCfy3wTBMNBq9uLgIBAL4A4Cm6VgshheeSqUoioLpFxcX4XCYe0dGpQWDQbxeAADc5fP5AoFAMpnES6ZpOhQKXVxcBINB1jMeZnv58uXKygp+CAAgmUxSFJXNZv1+fzAYhI1hGCaZTAaDQZ/Ph7efpmnuWFs2m2UlJhIJv9/PbeGt9U17e7tAIGCB4tpvUqmUXC43m83xeDybzabT6dPT04qKiqOjI9hrrr4ZHR1lGUIAADMzMyaTCQBQoL6BuHw+3+TkZG1tbSQSmZychJdQJBJhnUGcf11dXWdnJ54C9U1jY6NSqeRKH5RzYmLi+fPnH7Dw7Nmza+0336hvnE6nWq3GDeMOh6O5uXlhYaGzsxP9HPLpm2QyGQgE/H5/PB5nncpsNptKpSBG/2XIeQGj7uMRmUzGZZjJZFKpFPxF+Hw+dArS6XQoFPL5fOFwGBXCMEw8Hkfth+kMw8RiMTwxnU4HAgGfz8dq/430DaoUAFBaWsq1NsFKU6nUxcVFJBKBoODvDtLDdTN8H8PLBADAvuOJsVjM5/Nxbwu30DdoFBWV/+zZM4vFgjYhN5/P5/f7WWOFFEXBFHirxO+T6NrAewcACGLjUzlvPhRFxWIx1uWEGsONBIPBd+/esQQZbDMAIJFIXFxcoLtZPuzpdJrVTngjxS9ahmEikcjFxUUoFEKXH2zPLfQN974Ni4ItRw8FvAGpVCrn5QoPhHvhj5GiKPxRQtM0q3eZTAYxQUgpigqHw/AqxX8m8FfMMEw2m4UZWL+XeDyuUqn0en3kMqBzh+ubRCLBunhYz9xgMMjj8fBLCDXsV4h8k75hGKapqQl/Je3r68Md8VKpVHd3N36L3NjYaGpqUigUSqVSKpV6vV5IORAIiMVinPjY2Jjdbp+bm1OpVHK5XCAQzM3N4Rlomp6dnZVIJGq1WiaTGQwG9PNgGMZisTQ2NkqlUpVK1dbWhka+stns4OBgQ0OD4jLo9Xpcl8Dyc+qb4eHhg4ODsbExkUik1Wqz2Swc1ZLL5SqVSiqVNjY2IhN0OByWyWSskhcXFwcGBuBlyjDM1tZWa2ur6jIoFAp8OIOlb1Kp1MjICO6bgnNAcY/H09DQ0NTUxHrec/UNAOD8/Fyv13d1dfVchs7OTrPZjIri6pupqSnue4DRaIQnpRB9Ay+GgYGB/v7+mZkZ6CJH07TD4RgcHBwaGurt7c3p8G+1WhsbG2tra/ErDeobk8l0cHDAugujXgAAJiYm+vr6MlgYHx//3vpmZmamr68P3Y8AAA6Ho76+PhaLtbS0oEuRq28Yhtnf329ubpZKpTKZrLW11WKxsMoxGo0Oh0Oj0ajV6qampo6ODjwD3ndWPKe+MZvNk5OTGxsbYrFYLpdDkhaLRXkZWL+7TCaj1+v39/fxkk9OTqRSKbrJejye9vZ2hUKhUqkkEgluG79bfSMWi+12e3d3t0QimZiYgI/Y4eFh+HuUSCQNDQ1ovPXk5ITH4+EPJwDA+Pj4FyMi7AtN04uLi2KxWK1Wy+Xyrq4u/NF1J/rm9evX6Id5cXGh1+tlMplKpRKJREqlEv91n5ycGI3Go6MjsVgsEonQZe92u2HvVCpVa2sr7nwWxPRNIpHQaDQsjxmz2azT6Qq8VKBg4uqbRCLR2Njo8/k0Go1YLF5aWoJaZ2RkBGEXCARoAHd/fx/91tA1o1ar0TMilUqNjo6KxWJ4kx8YGMCVxx3qm3A4LBQKrVarWCyWyWToRc7tdqPLtb29Hd3A4Ruy0+kUCoUSiUShUEil0t7eXnyczuv1arVa1C8AwM7ODu51B8Vcf39/e3u7Wq2WSqWTk5MofyKR6O/vD4VCBoNBrVZDlw90xQIABgYG3r9/X15eDn+M6CeG65vJyUmDwYDKhDV2dXWhy4lhmKqqKtbFgOe/3/Hb65t4PK5QKNrb2xF3AIBIJFpfX0fIEolEU1MTDre8vNxqtaYvwxenBHQT8Xq9Hz58QAcCALRabVFRUW9vbzweT6fT29vbT58+RacNADA1NVVZWen3+6FqVqvVyJQXi8Wqqqrcbjes6PT0FLXBYrG8ePEC+nWmUqnj42O8/bABOfWNXC5vbW0dHBxMJpNQDjMMMzg46Pf7YS3T09MlJSVwF03TIpHIaDSiHjEM8/79e3SDs9vt5eXlx8fH8NilpSXcP5elb46Ojv71r38dHh6i0riRQCDw9u3bzc1Nn8/3+vVr3G0+p76BQwDJZDIejycSCfy2As8juknBus7Pz3///Xf0bAYA+P3+0tJSePMtRN9AJ25olmO1n2GYTCaTSCS4bz9er/fJkycHBwf7+/tv3rzBW/XTjk8NDg5OTU3hfXQ4HJ8/fwYALC8vl5aWwtc4rr45Pj4uLS3d2dlJpVLpdNrpdJaUlODjvxaLpbi4WCAQ+Hy+dDrt9/s/ffqEWwXwSlnxnPpmZmamrq5OqVRGIpF0Og2ffxMTE0dHR6gNf/755+npKSzNaDTW19fjJWu1WiR8A4FARUXFl58YvKoPDg74fD56pt6tvvn48WNzc/Pa2lo6nYYvNuFweHp6OhqNptPpVCrV29srl8uhFS2bzb558wb9+uDTq7i4+ODgAPZlcXERzneD1yEU/aib365vrFbrgwcP0DvM/v7+wsJCIpGAFg6VSjUxMYGqOzw85PP5VVVV8Cyjq6WqqmpzcxOxLS0t/WJlgUfh+oZhmK6uru7ublQgAIDH47GuSXwvN57TfhOLxZ4/fy6TyeA9HGKPxWJTU1Pw+kmlUv39/RKJBGL3+/1Pnz7Fn9k+n+/Zs2eo2X19fQKBIBKJZDKZWCwml8vxc3SH+uaL0f3hw4dKpTIYDKbTaYjU5/OVlJRsbW1BpPv7+3w+H6EIhUKVlZWzs7PwhxCJRFpaWpqamlCGo6Mj1m9haWmpuroaZWAYRiwWKxSKWCyWyWQCgUBtbS2SUNFo9Mvh7969293dTV2GgYEBiUSCDk+lUhKJxGAwJC8D+h3h+sbr9RYVFaGnGwDA7Xa3trbiBpumpiZkR0CF/yKRm+mb33//XX4ZGhsb37x5A/0JcJvb1foGujvh92tEOae+aW9vRyf1y1jVmzdv0GMb3knx0+b1ev/973/DV7RwOMzj8dCvCNUCAJibmxMIBPjYAb4XxvPpm48fP7J0AH4sRVFv375FCmB9ff3169co/+Hh4Zs3b5D60Wg0uBCMxWJwvAYWyNI3NE27XC5UFF4pAACKP4lEgrxn4Cv1yMgI9K1j6ZtIJDIyMjI6Ojo8PDw4OKjRaLSXQalUtre3z87OMgzDtd8AAHZ3dxsbGw0Gw9TUlMFgqK+vR6+/1+qbQCDQ1dUFX0TQ3/r6+tbWVrQJI6jMZDJpsVhaW1sRqO3tbYlEMj09DS+5AvWNWq0+woJer0fvlPn8i7u7u7Va7fRlMJlMY2NjJpMJbk5PT+M2Cda5gJs9PT3Ly8v4LofDUVFR8cXmlM1meTye0WiEzhks/2K9Xo80OnwGj42NVVdXo1+BxWIpKyvDFTn0KMfryhfPp29+//13OM8u34F8Ph/NQfN6vb/99hv6CX/xmXv79i0SnVNTU7j7F03TSqVyY2MDlnzn+gY9R3O2PJVK1dXVIffS8fFxoVCIfvgbGxsVFRXwCR2JROrr65GGAwB8GVx78uQJevu6hb5pa2uDbv5wvl5VVRUcyc3Z1I2NjcbGRrQL3iuQ2Qam6/X6jo4O/Gar0+nQZRbE7DcAgIODgz/++AO9LZyfn7979w5/OUR15YtcoW/wS5R7OEVR1dXV6N4rFov1ej3K1t/fj3595+fnPB4Pv5itVuunT5/wzIXPn4L+xS0tLf1fw8DAADqnUN/gbwIMw4yMjAwNDaHqKIoSi8Uoz8TEhFQqhVcIzLO6uooPMlyrb2w22+fPn3GpsbKyAt9zAADRaLSmpgafjGmz2VgeIDKZjEsb1zcAgNbWVlwUqtVqXCsDAKRSKS4xUX9/hcjN9M2bN29OL4PH43E4HLOzswKBAM1nKcR+I5fLoZ0Q3bIh5Zz6Br/4AACVlZXz8/MwPzTjx7AQjUYfPHgAb7WZTEaj0TQ1Ne3s7KA7Gjzw4uKitLRUrVajS597mvPpG+6lhspcX18fHBx89eoVevilUqmXL19CYz7DMAOXAebPZDLNzc1utxtrfqy5uRmRZOkbbgvxlGAw2NnZ6fF4cKTxeHxlZeXLfY3rX5xOp61Wq81ms9vtDoejqqpqamoKroKTTCbhDTSnvgEAhMNhu92+ublps9nwYcdr9Q1FUaFQKPi/oampaXZ29n/TguihcnJyotfr0Ssv7HIwGFxbWytc3+zt7XV2dn694/33f2dnJxrozKdvTk9Pt7+GxcXFJ0+erK+vf03YRsZt/Czg8b6+PlQFTEf6Btq9ampqzs7OuPYbPp+PDzoAAE5OTh48eICeTBaLBX/FBAAYjUb0aIRmMPgyiowxqGH59E1NTQ3Kg0disdj29rbxcioQumMyDNPQ0IAMk2azubGxEV14CoXCbDbjV/Xg4GBXVxcs9s71zcLCAt5gFD85OVleXu7p6fn06ROSbolEoqKiAl5ONE3Daw8e4na7m5ub8WZ/MQK9ePECvavcQt9UVVXBodg///xTIpGwxAqsl6Koo6OjhYUFiURSUlKC2n94eMgyDHzxFnr58uX6+jreyMnJSXQiWPqGoqjPnz+ji3BxcRE3D6OKrohcoW9y9gUAcHp6urKy0tvbW1ZWBu880Jzw6dMnOFIfj8crKyvR4TabTSqV4j06Pj5++vQpepG7hf0GX29ia2sL3aO+WNlfvHiB2zkoimpvb9/b28MbgNvtBAIB6wK7qb6ZmpqC/g+oCqfT+ccff0DNFI1G6+rqcHn3ZTDh+fPn+EkpRN9YLBa1Wg1viV8s8S9fvmSpGZFIxLqL4lXc7/jN9A1LXQIALBYLj8dDjK6238D315mZmWfPngkEgtPTU3RnLETfVFVVzc7OwrpWV1cfPnz4mBOQHyJN08vLy2/fvq2rqzs+Psbfe7LZbG9v77NnzxQKhd/vR21Avcinb0ZHR1EeGDk9PW1qanr79q1er9/c3CwrK0MaBQAwNDTU1dUFHb6am5vRq2Q6nX78+PGjR49YzUdvujfSN7Al+NwH6n9DKBS6YjZQU1PT9vY2HLit+RpKSkrQSzmryzk3r9U38KhAIDCNhYqKCpVKhRLQ7Rhmxv/C9ZHhkzuTyWSzWYZhpqen0WsinpkbZy4DNz2fvsFzfnFdf/XqFX4bwvfmjBuNxpGREXwXrm+gKDEYDDRNa7VafH44HLLED/ziT/qf//wHDaNw9c34+LhAIICHnJ+fFxUVPfga0Os73JtP3+C/X5gzHA5rtdqnT5+qVKrl5eXW1lZ88Uan08nn86FXcmdnJ7KuwTcQ7q8S+Sjcub5hOZMyDLO3t/f58+fy8vKBgYGdnZ3a2lqkbwAAarUaWge9Xm9JSQl689nf3+f+GB8/foyGEm6hb5B/8dLS0ufPn5FChYRpml5fX6+oqKirq4PG1LKyMrgLAHB4eIjOKUyMxWIPHjzgsjUajfD2xdI3AIC9vb3GxsZMJkNRlEqlQn1BtVwduULfsN4MGYaxWq1VVVVlZWX9/f17e3s1NTW4Zb2hoQG+5tntdnx8Z2lp6d///jfrHvj48WN03d5C37AuCdTHL24ML1++RHIHPonKy8u55x3J8aKiIvSyCsu5kb5hGKanp+fBgwesDqKbCVffnJycPHv2DLUZAFCIvgkEAgKBAIrClZWVqqoqvAQAQF1dHf4rYO2935vfqm/cbjc0vENM1+obmC2ZTE5PT3/8+BHZbG+qb7a3t1tbW689N8lkcn5+vry8fHR0FJc40AQ9NDRUXV3N9WspUN94PJ66ujrcA7SyshLXN+FwuKmpKRKJwAEj9F6SyWSgC0W+9t9C3zidzv7+/r5cQa/Xj42NsWRcNpudn5+HJln4M2YY5uJraG5uxvUNtL6EQiE40cDr9brdbqvVajabFxcXFxYWCtQ3oVBoJU8YHh7+448/cgKx2+19fX2dl0Gn03V1dXV2do6MjBQobgAA29vb3LMMXSNzru+HN+MW+mZzc1On0+HXG0vf+P3+uro6j8fT3d2N65u6ujpWO/1+/4MHD9Dt6Wp9wzAMdD2Bw/msM16gvkkkEgKBAK2NBGUBrm8AAHBWQTweb2trQ6odAAB9fnF6ePx765utra2Wlhan0wk7TlEUj8dD6AAAm5ubGo0GALC0tIQPmhweHra0tOBNZcW/Rd8wDNPa2oqPs9A0PT4+Dn9isKlWqxW/i3L1zZfZT3/++Sdyy2U1jzV/Cu5lGKa5udnj8SQSiba2NvzRzj2cm1K4vtnd3W1ubj44OEDXW319Pa5vpqenoSXeaDSiMXTojatUKrlVo5Tvqm8oimptbb3CFltRUYFPuYBzrfHxKXj/R62F1xXuf2M0GrlzTlH+u9I3NE13dHTMzc3BHqGXZFhRMpmsrq5mzXRBbbj3kW/VN3t7ew0NDQiTUqmETvUwJR6P83g83CqIckLbD3ImuKm+8Xg8JSUlBZ42n89XXV2dc03r4eFh3GMANq9AfaPRaLq7u9GvGr6/4vqGoiiZTOZ2u8cvA8pJUZRQKGTNQ8HJ3ELfJJPJr+KE/X99fZ27fnEsFnv48CGcbso1TgwMDOAPBq/Xy+Pxampq6urqBAJBS0uLUqns6+szmUwbGxtut7tAfQNn1395ZnPD1tbWn3/+iUOAcTgmvbe3Fw6Hk5ee3YlEIhAIzM7OFhUVoVc97oF4yvDwMH5Zol3ZbHZzcxMXImgXitxC35ydnanVanzknqVvGIZZWFj49OmTXq/H9Y1EIuGaxJ8/f45aeLW+QW3OGSlQ36yvr1dVVSHbRk59Mzw8PDc3d3h4qFQq8W4aDAaujRM15nvrm7a2NpweV9/4/X4ej0dRlFarxe0ZFxcXlZWVLBMLajYA4Fv0DQAAupWgX1ksFhMIBLg6v1bfAAAaGhq4dyrUyOD/+t/A9LGxsZmZGYfDwVqtAB11RaRwfSMSiZBZHRbI0jfHx8dtbW0AgPb2dvyt6ejoqKamBt0VuY35rvqGYRidTneFz7VYLGYtyMmy35ydnbGMJXNzc7i+WV9fv6KDhegbuVze19fHIsPyvwEA2Gy2t2/fwrs0/nuEtkCxWHwFZFbh92zzZvqmuLg4cxnS6XQsFvN6vQ0NDfjFbTQadTrdl9kKNE2Hw+Ev8vzdu3dI3wSDwcPDQ+RjOzIyUltbC++kN9U3DMNoNJq2tja49AUcA0LvKLFY7ODgAFYE54rz+Xy4usCXuUjn5+fwIoB3Ota7KRzq5to55XI5696t0+mUSiW0ykB/l5cvX+L6Bq4QMzg4WFtbi8by4QW0urpaV1fn9/vhoyudTqPGoxdN9FTLZrN2ux33U7vRVcjyL4bHRqPR3377DTm73KhAbuYC9c3+/v7bt2+b8oT29nZuyf39/fnegYqLi1m0uYfDlHz6hpv/9PR0fX19DQvT09PPnz9fXFzE0v4bvUJaRaNR1uoALH0DfYfr6+tLSkpwfbO3tweHVGiaZhjG5/M1NDTgA0B/gb4xm81lZWXwwkin03a7vbi4mPUbsdlscMorSzW63e5Pnz4dHR2h3xdu3eHqm+Pj40I8A3Kuf/Px40fWj1QsFk9OTn5x84fLnExOTpaVleEynWEYhUIxNzfHsmcwDGMwGAQCAVpkK5lM4r/Hubk5NMrGvWa4KUajEY1PwaEQOOEf3uvi8Tifz4eD5vA+2d3djQ/9c+030N5cUVEB1zkEAECTKnqYhUKhR48esRZKcDqdcMY7ckOGTXW5XKyc3C4Urm8kEsnY2BjCbjKZSktLcftNKpVqbm6GRjJ8in4mk5FKpXq9Ht6Z4RI1+B1pcHAQGfi5LWSlQP9i1iWB8nDHp+CqDaWlpcfHxxBjNpvFRafdbq+urobf56EoKhAISCQS3M4XDocrKyttNhscPXe73Z8/f66srESVJhKJqqoqo9EIew1X+kEECtE3vb299fX1X+bWwBsCLBnCRLXAm8nHjx91Oh1rrjgAQKVSFc4QL/N+xG+mbx49eiS6DG1tbXC+/tzcHHovAQBcXFzU1dXBNWnkcvnS0pJUKkX6xuPxSKXS9vZ2vV6v0Wh4PB7yprypvgEARCKR7u7uxsZGnU4HlxVHDhzn5+dyuVwikXR1dXV0dNTU1GxubjIMQ9P0xsZGa2urXC43GAwKhUIsFuN3QHhSC7TfeL3empoasVjc1dWlUqnGx8f5fD7riXtyclJeXl5XV4fuRLCKVCo1OTlZX18PV3CSSqXoo0gAAI/HA+e3w8xer/c///kP7ml/o4vvp9I3+LhAIb0wm82fPn1iPQVpmt7b23vx4sW1t2lYReH65ujoaK6wcMXrPk3TBoMBXY3wTooPQKDT+uzZM1zfpNPpmZmZmpoalUqlVqsbGhqGh4dxU8pfoG+SyaRQKGxqatLr9SqVqr+/X61Ws/RNPB6vq6srKirC5QtccWBjY6O+vl4qlfb09CgUCuT5CACIxWL19fX4s1YoFOJ+tfmuhwL1jdVqrampUSgUOp1OrVabTKaWlhbWr/vLXNznz5/jqyzCSmOxWG9vr0Ag0Gq1XV1dEokEfyrs7Ox8/vwZN/nkaypMZ+kbuNzUixcvoKMbTdNzc3OfPn1SqVRw9mJfXx9+eeTUN3B8pLGxUS6Xd3d3y2Syjo4OJMLg5M3x8XH8PpNOp5ubm9++fYuyweZ9/PhRJBJd3YXC9Y3dbq+pqZHL5RD79PR0c3Mzrm/A5VoeL168QF7qqOqLiwuFQtHU1NTZ2dnR0SGRSPD75+LiIo/HQ5P10FE5I7fQNzRNr66u8ng8uHyaXC7XaDTI1JFOp4eGhiorK+FqbTKZTKlU4twYhpmbmysuLlYqlbD7cNlSvHnQM0EoFMJHnlgsRh6ihegbj8cDy1epVAipWq3mfg1tc3Pz+fPn8AJDDbi4uHj69Cnr7KO9v0LkBvoGLr8b/xqSyWQmk0FXA4QF7Sg2m83tdsOFVlnzODKZTDgc3tnZcbvdSMlCBYpvwmnPyGEFFs5aHBneT6PR6N7e3sHBQSwWw58EcMVSq9XqdDphS1ALU6mU3+/f2dk5OztjVQHzJBIJvCiYmE6nuZnj8bjVanW5XMlkEno/sA6EQHKaXuAup9MJB1/wGxNN0x6PB71MUBR1fHzMrR027Nq/V+ibF/kDPufw2ioKt9+8f/9enD8gvYtqpGl6bW2tuLi4sbGxt7d3ZGSkq6sLviehORooc77I0NDQH3/8ka+vuLLMV8JN051O55s3b9DFQNM06/KGBcJFsfHC4VXhcrkODg5Ya3/Dt3b8dQLaBlgpeGl4POcFDBdExrPBn57L5drb24vH43DNbvzihJlTqRT+qo2XkEqlTk9Pt7a24PItaBd08ELTZwAAx8fHuD0f5WRF0LQ+PD0nunA4vLW1dXJyApmwbj7wjhGPx3P+lOBS6Var1W63R6NRdO7gUW63u/DrLZvNcqvAb19wwejd3d2Liwu4HAt+EmmaxjdRrxmGgWx3d3fhOi747TcajbrdbmT0hUcZDAY0HxuVs7+/n9NWijLAG3IikcDLR4msKuC6Vtvb22gtMS52iqLgtYRXAeNwed/d3V2Xy8VaHZuiKIfDccWLBKu0Kz75DH9WrO7Aw1Op1MnJydbWFlzJDC8TLhppt9vPzs5SqdTa2hqub+CFEQ6H9/f34ZrXaOFpvBBoFtrc3PR4PPAxAffCs4nn5C6IDACIx+P7+/terxdhj8fj+DcDYAk0TcPV4PACh4aGbvo+iR9+D+I30Df3oLe/ZhfC4TDLUQ7equCy3/n+cm/QV9ALBAK4HSJfzkQiYbsy5HvVSKfTBwcHq6ur8/PzZrPZ4/GgX3u+uvD0LxPW8nUzEonkfJbgh98urlAo0HJNtyvh3h+1vLzMtaj/5L32+XzreQLLN/yHdyQSiVRXV+OCEv7wJycncX/nH97OQhrgcrnyUF9nzecqpLTb5WH539yukO901MjI55/iRAAAIABJREFUiFKpxO+KiUSio6Mj52vVd2rDT1gs0Tc/4UkhTboPBKLRKGv45j706u76EIvFOjs7kZHy7gr+viWdnp7mG8C8YsbA921TntKnpqa4n1u32WwDAwNXeI/lKewHJ9tstnzYbz1wf9Mu/bT6xuVyPX36lCVkoc/QTft4z/ITfXPPTijpDiHwtyGQc7zgb9P6n7Wh2WzWaDTy+fzy8nLumBr+iv+z9uAnbdfa2tq143p/cdOtVmtzc/ObN2+4Fvq/uCU/Z3VE3/yc54W0ihAgBAiB2xCgadrpdG5ubuZcEeM2JZJjLgkEg0HkHfyTIAkEAhsbG6zpFz9J236GZhB98zOcBdIGQoAQIAQIAUKAELhLAkTf3CVNUhYhQAgQAoQAIUAI/AwEiL75Gc4CaQMhQAgQAoQAIUAI3CUBom/ukiYpixAgBAgBQoAQIAR+BgJE3/wMZ4G0gRAgBAgBQoAQIATukgDRN3dJk5RFCBAChAAhQAgQAj8DAaJvfoazQNpACBAChAAhQAgQAndJgOibu6RJyiIECAFCgBAgBAiBn4EA0Tc/w1kgbSAECAFCgBAgBAiBuyTwg/VNKpX6230JpXD8q6urOb+xzDBMJpOB3w3GSzs/P7/Rt+Jomj48PCzkC2qwxng8zv0QtNvtZn24BDYJft4256eb9/b2rv1sEOpjOlfgfnke58CNZ7PZra0tsrQ8lwxJIQQIAUKAEMhJ4Ab6hqKoxGUo5IGaszIAgNPpDAQCaK/FYhkdHUWbV0fS6TRsQCKR4D6nrz72e+y1WCxLuQL63tvDhw9PTk7wqhmGcblcXV1dnZ2dXV1dOp1uZ2cHPbbHx8f7+/vx/DDOMIzX67VYLDs7Ozi9bDYrk8m8Xi/3EDwlnU5PTEwolUqNRqNUKpeXl1GNAICenp6BgQE8PwDA6/Xq9XqlUqm6DDabDf9UEJ/P397eZh3C2oxGoyqVSpkndHR04B1BxyYSCbvdfnR0RFEUSgQAxGKxkpKSdDqNJ5I4IUAIEAKEACGQj8AN9M3i4uJvl+HBgwevX78WiUQ53/vz1QTTP3z4YDAYUJ6lpSW9Xo82r46IRCLYgN9+++3hw4fFxcWzs7M3EjrhcBh/tF9d3bV7TSbT0GUYGBj48OFDT08P3Nzd3YXHcvXN0dFRVVXV4eEhNGpcXFzweDyUP6e+yWQyUqm0qKhIrVZLpdJ3794NDw/D8gvRNzRN19XVqdXqSCSSyWTOz89ra2t7enpQ77j6hqKoz58/Ly0twUY6HI6ysjLUSABAIfqGYZhchpv/L00mk7GUHwDg9PT0zZs39fX1b968UavVmUwGNZLoG4SCRAgBQoAQIAQKIXADfTM/P19cXAxHlJxO5/j4eElJycDAwI3MOS6XCx/auJG+aWlp0ev1qcsQCAQsFgufz9fr9YVLnLdv315cXBTC5UZ5stksn88PhUKso7j6ZmpqanZ2Fs+2tbXV1NQEU7j6JpvNdlwGBDkYDPJ4vMnJSYZhCtE3ZrP58+fPOKJYLFZRUYHkBVffGAyG7u5uXAju7e2pVCqUUoi+wfvIjctkMtZI3PHx8du3bx0OBwAgk8nodLq5ubnQ13BycvL+/Xtiv+GSJCmEACFACBACOQncTN+8f/8eL+Xi4oLP56+treGJN4rfVN+whm/Oz8/r6uoK/EwuwzDPnj37Hvrm4uLi5cuX3I+4cvXN4uIiqwtzc3NfrDIQGlffXFxcNDU14ZYMAEAwGKyrq0smk4Xom4mJCdxgBisSi8X7+/swztU3fD5/dXUVP4/n5+dSqRSNGX27vhGLxefn56gKmqahoEEpX07Tu3fvhEJh+2VobW19/Pgx0TeID4kQAoQAIUAIXE3gm/QNAGBtba2qqgrVwTBMOByemZkRi8V8Pn94eJj1TFpdXcX9RXB943A4jEYj7ucBANjY2Dg+Poblt7S0sMRBPB6vq6tDnhwURR0dHfX39/N4vLa2NqfTiUrzeDy9vb0PHjxQqVR6vR5pMoZhfD5fV1cXj8dTKpUejwdZKQAAiUQilUqh3uWMMAyj0+lKSkqmp6dZGbj6JhKJNDQ0aLVam812eHg4MjJSXV0dDofhgVx9c3JyIhaLWcXCIadIJFKIvrFYLNXV1bj9JplMVlZWIvMJV9/09vb29PTgHOx2+x3abxiGEQgEuCpNJBJCoRCdLNhfPp+/tbUF42R8inUNkE1CgBAgBAiBqwl8q745OzsrLi5GIiYcDmu12pGRkc3LIBaLu7u78YerTCbDPTlwfeP3+1+8eMHy6WlsbEQpXH1zfHxcW1sbjUZhJ3d3d+Vy+czMjNVqnZmZKSoqslqtcJfX6zWZTI8ePRobG1tcXITjIACA3d3dxsbG6elpq9W6uLjY2NiIDgEAlJaW6nQ6ZLfgoqRp2mw2l5aWulyuxsZGs9mMywKuvgEApNNpi8UyPj5uNBpXVlbwxzxX38Tj8ebmZmRrAQDQND0+Pi6Xy2maLkTfpFIpqVSq1Wp3d3ePj4/NZnNbW9vIyAhqJ1ffxGKxtrY2o9F4cHDgcrnm5+dZbbjWfnNycuLIHzY3NysqKvb29pxOJ7w2QqGQRCJh6RutVmsymSBzom+41x5JIQQIAUKAELiCwLfqm0gkUlZW5nK5YB00TeMzooPBoEAgQPYJAMAV+gYAoFQq8elUJycnAoEAuZ7g+oaiqJ2dnbKysoGBAfSohq45sCUMw/T19UkkEtT5WCz25MkTfHyKYRihUGiz2VCe7e1ttVqNNldXV61WK+u5i/YCAMxmc3V1td/vh3OOeDze4OAg0kMsfbO/v7+zs7O1tWU2m1dWVqanpwcGBrRabWtrKxyv4eobAMDBwcG7d+96enqcTqfNZlMoFOXl5dCHqRB9AwBIpVI7Ozvd3d3t7e39/f0ulwtXnFx9AwAIh8Ozs7NarRaeEZ/PhyAX4l88OTmpzR/UanV7e7tWqzUYDPBqyalvNBrN1NQUpE30DX7VkTghQAgQAoTAtQS+Vd8kEomKioqdnR1WTel0OhQKuVyu+vp6+PiHGa7WN8fHxy0tLUjQyGQyNFcIANDS0vL8+fOKy/Dw4cPS0tLp6Wn8uQurYBgmFov5/f7Jycnq6mqkTrj6JhgM1tfXR6NR6ms4PT1tbW1l9SXnJvT8FYlEaHQM2mYGBgY6OjrgISx9A2dcq9Xqjo6Opqam8vLymZmZ7e3tk5OTRCLBMExOfQOHyYaHh1taWkQi0fT0NNJPBeobaPWB4o/7d2Njg3v6AADZbJabGaaYTCY0vJUTDgDgi7dTMplE8FnZWOvfwPEp3M2IYRgej2cymc4vg8vlws2ErNLIJiFACBAChAAhwCLwrfomEAh8+PABf8YHg8HJyUmVStXT09Pb21tWVubz+VCtV+ubVCrV2toKp/bEYrFHjx7hTrstLS0dHR3+yyCVSnFLDyrf6XR2d3drtdre3l6ZTFZZWYlsFVx9s7q6+vr1a4lEAp1Y29vbhULhx48fUWlXR5xOJ/5Ihpnhcx3GxWIxPlkML81isSiVSpiytLQ0ehkaGxtZDkb4Idx44frm4uJCr9ercwWJRMLyJoYVbW5u5sr+37T29na0xg+3VTAllUo1Njbixjw85+TkJK56oX/x/Pw8ygP9i3U6neEy6HS6J0+eoGFQlI1ECAFCgBAgBAiBnAS+Vd+4XK6ioiJUdCgUqq6uHhsbSyQSFEXF4/GmpqbC9Q0AYGxsrK+vj+u5DO036PEPR22Q5w1swO7ubllZmc1my2azNE3v7u5eq29EIlEqlcr8b0DduTaSSqW2t7dX8oTl5WVki2IVhesbt9u9fxnUajXqICt/zs3C9Q2cTJ7NFQwGA3d9P2jyyZX9v2kNDQ3Xru8Xj8f/+c9/4kOTeBfkcjlyq4Lpx8fHDx8+hHKWoiidTgdHHunLEIlEyPp+OEASJwQIAUKAELiawLfqm76+PtxhZXJy0mAwoFGJZDJ5U31zcnLy4cOHeDyuVCo3Nzfx1uP+NzRNw1Ee9E6fTqcfPnyIu+Jeq28CgUBdXR1LJOE1XhtPJBLz8/MjecKDBw/QMjOoKJ1OZ7FYTk5OuFaTmZmZsbExlBMAsLS0ZDQaR0dHh4eHh4aGent7oXVKoVBA41Ah6xfDgTOPx+PMFeRyeU59Ew6Hc2X/b1pNTU2B+mZkZMSUK/B4PJa+AQDs7OwIhUKDwSCXyzs6OnBpSPxv8KuCxAkBQoAQIASuJXB7fUNRlNFoLC8vPzo6QtV0d3fj06Q9Hs+Nxqeg2UAoFI6MjIhEIjS0BMvH9Q0AIBKJvH//Hs30DoVC//f//l/kPkxRlMFgwO03FEX98ccfh4eHqLU0Tbe0tJjNZpTCisCvRLESC99k+d/AA+VyOWozq6hIJMJaJNDtdlsvg91uPzg4cLvdZ2dngUAAfkmqcPvN0dFRS0tLThnW09OTU6yYTKbGxsZ8h1zrfwPtN2tra9A0xfrb3NzM1TcAgFAo5HQ6PR4Pkq0QEdE3rEuFbBIChAAhQAhcTeBm+ubly5fb29sWi2VwcLCmpubt27e4uEHziQ4PD30+38zMzIcPHyoqKq4Yn9rZ2VEoFCwvFqfT+eeff3Z1dSE7EOwDS98AALa3t/l8PnTyYBimrKxMqVReXFx4PB6FQtHc3IzrGwAAj8cbGBgIh8NoDZ79/f23b9+aTKZAIAA9h9bX1xGyoqIijUaD/HlReoGRm+qbAotF2QrXN06nUy6XowMLiYyMjHR1dRWSM2eem45P5SwEJRJ9g1CQCCFACBAChEAhBG6gb+CHIbu6urq7uycmJiwWC9d7NJ1Oz87OisVijUYzPT0di8XW19fxL4Svra3hC9eGw+Guri6us2pZWRl3+GZxcXFvbw/vVTqdnpqaQk4eoVCop6dHKpV2d3fv7e3FYrGpqSl8gtXZ2VlHR4dcLjeZTCjd4/H09PTI5XI0FxpV0dfXt7S0hHKi9AIj+fRNe3u7MU9YW1tjqb0r6rqRvuHz+ct5wtraGn6OYI0jIyMCgSDPEcs2m+1q2Qf1jclkylmCQCDIab/J11mib/KRIemEACFACBACOQncQN/kPJ6byDBMJpO5+uGHH0VRFEtAxOPxsrIyNNKEZ742TtM0a+4x6xCKonIKiJxths6trBIK3xQKhfjMMnjg6enp3t4ea7wGbXI/nX1FdRRFjY2N5ZuihR8YiUTm5+dn84SFhYVYLIbnBwC4XC6TyZTniNnd3d2rT3E2mzUajVNTU7ncb0xzc3M3cntKJpNarTbniWM1m2wSAoQAIUAIEAIAgLvXN9+INZvNyuVyjUbzjeWQwwkBQoAQIAQIAULglyXwE+mbVCo1NTXV0dGR81vcv+wZIh0nBAgBQoAQIAQIgZsS+In0TSQS6ezsnJ6evvaTljftJMlPCBAChAAhQAgQAr8UgZ9I3/xS3ElnCQFCgBAgBAgBQuD7ESD65vuxJSUTAoQAIUAIEAKEwI8hQPTNj+FOaiUECAFCgBAgBAiB70eA6Jvvx5aUTAgQAoQAIUAIEAI/hgDRNz+GO6mVECAECAFCgBAgBL4fAaJvvh9bUjIhQAgQAoQAIUAI/BgCRN/8GO6kVkKAECAECAFCgBD4fgSIvvl+bEnJhAAhQAgQAoQAIfBjCBB982O4F1JrNptNp9OF5ER50uk062NeaFfOCEVRN60iZzn5EimKymazrL3JZPJGjWQdfrtNiqKSyWQhx66uru7s7BSSk+QhBAgBQuBXIEBR1MTExN/uC4BE3/y8F+fy8vL4+HjO9iWTydPT00AgwBIKvb29+OfZcx6LJzqdztHRUTylkLharS6wFovFwv0OfHNzM/eL8dx6z87OuF8nhdni8fhNP7/qcDja29u5tbBSQqFQcXGx3+9npf+tN+Px+OrqKutS+Vv3iNV4i8VSyFdmWUf94pvpdHplZeVv98T6xc/aD+y+Uql0Op0/sAG3qPoG+iYWix1eBrfbHQwGo9Ho1V+QvkVrbncIcxlud+wdHnXT54fT6VR+DVKpVP7/2HvvhzZ2rV343933vO9OT3Z2EggltIApBtw77qYYMMX03nsz1QUbG+OCjbs9M7o56Is+ZcaAnXbY545+AI1G9VF7tNYaWa3++qSlKAoAMD4+3tnZSathOBzWaDSVlZUikai5ubmhoWF/fx/GBwDIZDKPx0NLQpKkx+OZnJxcW1u7vr5GkQEAh4eHxf6UKUEQr169Ojo6opWCHnO5XPqrm56eHhkZ+fqUhrKckpKSe5KjfNRq9fj4OHrEPfv7+319fXgI7vd6vRcXF3gIAGB3d7empoYWyHycmZkxGo0oPJFIuFwuOOw9Hs/19XUikcABRDEfs+fq6orH4zEFaffUmaKo6+vr1dXV7e3tQn4vJRgMQpR8Pl80Gv2dKFEUpVAozs7O7mnOP+JVsQsIAIAgiHA4vL6+vrCw4PV6i4I9Go22t7fH4/FfDc7l5SVzCN3c3BR4RvrV1Ssw/3A4DEe40+m8vLyMRCLpdPoftxQU2Ni80dbW1sxmc95XjzawCH6zuLj48uVLk8lkMBhUKpVEItHr9X6//z/eNpfLtbm5+Z+tRjabHR0dLWq439zcnHx1CoVieHj469MJbAuT32QyGb1ev7CwgE5dXq+3sbERiUOY/CaTyfT19Uml0rm5uZGREYlEcnx8jLAqlt9QFLW8vFxdXd3X13fXfnl4eGj+6uRyuVQq/fpk3tnZAQAUzm8GBwdv8rnV1dV7+M3Q0NDAwABqI/QUwm/S6bRGo7m8vERpNzc3y8vLTbdOr9crFAqBQDAzM1NUR6Pc/lOe7+A3NpuNw+GMjY1pNJqOjo4Ha65UKpuamkwmk1arValUYrF4YmKiQIXgg5nfH+G/g9/E4/FiJanZbHZsbKy1tbWnp6e/vx/Cfnh4eD9c6O1v4zdNTU34mgMrMD09zePxUGUev6erq6u2thYuBVqtViKRSKVSu93++Gv+s2oYCoW4XO7vmdQ/q87F8ZuKigry1mUymWg02tPTU1dX9x+n4TMzMzqd7mch8n353NzclJWVfccJDBanVquXlpZoRTP5zc3NjUKhoB2GjEbj9PQ0TMvkN1tbWy0tLXBQUhRls9mam5vR9lwsv9nb22tsbAyHwx0dHXfpzjKZTD5O8u8wWPPC+c379+8/53Pl5eW/gt+Ew2G9Xo/Du7m5KRAI4JiHtkoOh+Ply5c2m43WWY/5sVh+QxCEUqlcWVkBAGSz2Q8fPjyo/VEqldPT0yRJQjsnr9fb1NQkFAp/qXUXxPy/g994vd7Kyko0MQsZTl6vt7m5ORKJwFTZbNZutzPFt3dlxfKbu5DJG97V1WU2m9FSkEqlFhcXm5qa8kb+rwykKEqtVm9tbf2DWlc0v6G1Ta/XDw4O0gLT6fTl5aXH4wmHw7QZG4/HCYJIp9N+v//i4iISidA4AUVRsVgMJaflnEwms7fO6/UGg0EYube3Vy6XB28dFCpQFBWPx0mSzGQyfr/f5/OhDT4Wi3k8nqurq7zih2g0enFx4fP5kskkXnQ2m4Uh8XgcRsB3wWw263Q6379/HwgEgsFgLBbD0z7oJ0kSngxoMZn8JpvNGgyGpaWlaDSazWZTqZTL5eJwOEgdQ+M3uVxOpVKdnp6inEmSbGpq2t3dhSGF8BsIptvt7u/vFwqFXq8XABCNRhUKhUajOT4+jkajNE0lQRAHBwcKhYJ76xQKxd7eHooD+c2DWsXv1k9ZLJb+/n7UZOgpRH7jcrm0Wi0+MDY3N4VCIS0rsVhstVrxwHg8DpVisViMNuATiYTX6807FwAANzc3Ho/H6/XSxhsAIJPJBINBj8fj9/uRuA4WmslkoI223++H3QHDKYq6ubm5uLjwer243gHxm1QqBWcW/hZvCMpfIBDc3NzAjv7w4UMikWBGw0OUSuXMzAweks1ma2pqmKvhzc2N99bhdUilUsxZE4/H8cMiRVHBYNDtdl9dXeGA3MVv4vG4z+eDiwytU7LZLFTlxGKxvPOdoiho+wUN3fx+PyRqFEVFo1GPxxMMBvHGQj9JktfX1263+/LykkbsUqlUMpkkSRKuMJeXl2g6AAASicT29vbHjx/hIoa3mlkKCtnb21MqlbT1E72FnkwmEwqFPB4Ps0p5+Q1JkneNOpIkA4HA+fk5QoNW1l2PhchvstksjUOn02l8hMChSJJkMpn0+XxoDFAUFYlEYI/QehkAkE6nUXNwwAEAqVsHk19cXNB6hNkWyG/w8GAwWF1djW8EJEmGw+G8aMP6w8lOaxc8RQQCAY/HEwgE8LENAICTGu/lXC4H5yasDNwEKYpKpVIXFxe4uCGTyVxdXcFsac0nCAK+CgaDtFe5XA51NK0yo6OjGo0GB+GR+3+U35ycnFRVVeGN9Hq9IpFIo9EYjUahULiysoL3TW9v79LSklwu1+l0KpWKx+PhqqVcLjc5OSmTyXQ6nUajaWhogBoNlP/MzMze3l5HR4dcLh8bG8tkMmNjY9XV1eXl5epbB81OM5mMxWLx+XwGgwEWpFaro9HowcGBWq3W6XStra1I5gEzJ0lyZWVFKBQajUa9Xq9SqXALVqfTOTU1tbOzo1Qq9Xq9QCAwmUyo7z0ej1wuf/r0KazDwsICzDOdTvf29kYiEVT/vJ7FxUWRSCQQCFwuFx6ByW8AAKFQyGq1Qi2hyWTq6enBP/ah8Zt4PC6Xy/EZCAAYuHWwoEL4TTgclslknZ2da2trcF719PSEQqFcLndwcNDf369UKmnd5HQ6FQrF+fl55tadn58rFApkm1ZSUtLS0iKXy5kiK7z5381v+Hy+SqUiSTKVSo2NjQ3eOrlc/qD9zfz8fF9fH75K5uU3UqkU5/RHR0disViv1xsMBplMhpoJAPD7/dJbZzKZRCLRxMQEnvnOzo5EIjEYDFqtVqlUooWJoqiTkxOFQqFWq/V6PZ/PN5vN+J53eHi4uLgItY24tdDq6qpQKFSr1RqNRiQSIV57dXXF5/PdbjfMUCaTiUSiaDSKo437KYrSarXb29s3NzcdHR3z8/P427x+Jr8BAMzPz6vVahSfoqi9vT2hUGgwGPR6fWtrKxLv22w2iUSCYkJPR0cHstNKp9P9/f1SqdRkMnV0dJjNZkQgmPwGyim5XG5HR4dGo+Hz+bRVyG63DwwMLC4uKpVKk8kE+winLIlEgsPheDwevV5vNBolEolOp8vlcsvLy9BOrqmpaXFxkVbh2dlZmUxmMplUKpVGo8E3oaWlpYmJieXl5Y6ODr1ez+Vyu7q64GAgSXJ1dbW9vf3FixdwAWFqc2gFwUen0/n58+d7qKfT6ey4dXDJMhgM+M7K5DfJZHJwcFAqlRqNRqVSaTQaURMoirJYLO3t7UajES6htE0xbw1hYCH8xuFwtLa24rNje3vbYrHg2XZ0dOzu7kqlUp1OJxKJ9Hp9MpmcmJiAoNXW1q6vr+M52Gw2pVIJx3xbW1t/fz9asQEAq6urU1NTExMTSqVSq9VyOJyhoSE8Al40AIDJb0KhUFVVFcI/m81OT09LJBKj0Qh3KPwzhZ2dnba2No1Go9frZTKZ2+1G+UejUaPRKBaLdTodHGk41ctkMiaTCQ+5uLjA9RW5XK6npyeZTHZ2dsrlcqSaj0Qier0ewgVrhaoaiUQ0Go1CoTCZTDKZbHR0FG/4yMhIe3s7HMYqlQofM5ubm58+fUI1f/yeH+U3wWCwoqICrZXxeLy1tXVnZ4e6dbFYrK2tDe/murq6srKyUCgEI5ydnZWXl6MTczqdnp+fh3ZbFEU5HA4Oh4PmGACgp6ensrIS5g/BpSiqu7tbp9PBDGFgKpXi8/l//fWXw+GA4Wq1ms/nt7W1pVIpiqLOz8+rqqpw4rW9vV1eXg7NbymKmp+f12q1qP+Ojo7evn3L5XIzmQzkyxwOB1m9wJ3s/fv3JEniE+zLseCPP/44Ofn/7GlQbrjHbre/fv0amme+ePECpzh5+Q1MCxuFNxmG0/jN9fW1UqnExy4AYHl5GX1JVAi/gWcIvF0fP37E5yezGlNTUzTuMj8/j2QeJSUlBwcHuVwOxx/HBPrVanVLS0tfPieVSu/ST33pnZcvX7a3tycSiWw2e3JyYrt1Q0NDD/Kb4eHhyclJvCZMfhMOh58+fYoEYB6P59WrVy6XC4IA9XcoB5PJZLVa4atcLofrDs7Ozp4/f+7z+eDbxcXF+vp6mJCiqO3tbbfbDV+RJNnc3Ix2egDA5uZmZWVld3c3jABT2Wy2t2/fOp1OGOhwOJAh0dXV1adPnz58+ADlqblcTqvVjoyMoHoyPWtraw0NDXw+n9aPzJgwJC+/cTgcbW1taORcX1/X19dfXV3BGrpcrtbWVrjmfjHcfv36NY5PIBB48+YNXFgoiurp6eHxeNlslqKobDar0Wig+gwOTpp9sdfrraqqOjs7gwUFAoHKyko8c5vN9uLFC6FQCKU4BEH09PSUlpaiqsZisefPn3/+/Pni4oKiqGQyWVVVJRKJzGZzLpejKGpnZ+fJkyf40rS1tVVfXx+NRimKIkmyp6dHLpcjuEZHR9++fWs0GuECEggEnjx5gq8Mu7u7lZWVtAUEJc/ryWQycrn8zZs3d9ncHB4enp6eQhBIkmxpaVlbW0NZMfnN5OQkFAjBJN3d3Wg62Gy2V69ewV2WJMmizC4L4TeHh4fv3r1D+AMAFhYWVCoVqu0XKdfr16/r6+shgLlc7tOnT3V1dWh+2e122maxsbHh8XhgW5LJZHl5OX4UnJiYePHiBTSahF1cUVGBL7940Xn5ze7ubl1dHYq2v7/f3t6ONq/R0VGDwQCXuEQi8fTp062tLViZcDiMnzmNRqNW++9vSqCDBx60NqbTaYFAgB+2IRdE5WazWbFYDEk8zAG+kkgkJpMJjiiSJBcXFyElzeVyMpnMYrHAyOl0WigUooaHw+GqqirI9eEWjAoCALgQpbTvAAAgAElEQVTd7rdv36K64a8ep/9H+U0ikairq0MHjs3NTdSpcOmxWq24pITH4zkcDoQFVKAMDQ2hEJqHx+PhC5PJZMJPhDAy5Dd4wlQq1d7ejs6vkK3X1dUhIpVKpbhcLlLrpNNpuVyOf4Jxc3NTVVWF1q+joyP8eAFJ1djYGCrU7/dDfoNCYPM9Hg+NXqAI0Wh0YWFBqVSiep6cnGg0mtHRUXhYp/Gbm5ubgYGBwcHBgYEBi8UCjwKdnZ1Q4LS8vEySJI3fxGIxhUKBTrqw6NHRUWQG/yC/SSQS5+fnzm/du3fvVlZWvg1zIo4LANja2sIFIQRBmM3mjY0NWIEC7W+cTufq3Q71HcITejY3N1tbW7u7u2kmMoXop/r6+paXl/EMNzc3P3/+vHbrlpeXh4eHuVwuVMPDr1cMBgN+js/lcs3NzahotVpNyxBmnslkBALBF5UEKuvLzl1aWoqPQPQKADA6Oop/Sra5uVlXV4ePq0QiUV1djQSHeFoAwNXVVWNjIxrMkOOKxWJaNPRIkuT6+vrTp087OzvxY7rT6cSFHCg+ACAvv7m4uOBwOGjTUqvVU1NT6BEAoFarkbhLpVJ1dXWhPPv6+pAk3O/3t7e348P45OSktrYWRmbKb/r6+mhH/7m5ufr6elS0zWZrampCjwCAeDz+8uXL/f19mCfkNzin7Ovrq6mpQdsSQRAvX75EEWKx2Lt37/DuS6fTVVVViAeMjo7W19fjXcblcvEFZG9vr1j7G6jXmJmZ4XA4fD5/eXmZqeNDeAIAFhcXe3t7Uatp/IYgCC6XizgxAMDr9SoUCriZra6uVlRU4F2A53y/v7q6uqWlRfatq6mpwe2LC+E35eXlSOAHABgaGlIoFGhJJwiira0Nrz+tVmazGZ9EExMTcrkcJYdjmCaHxnPo6uri8/lwKZifn+/u7uZyuWjAEATR0NCAxgNUjUkkEsgIg8Hgn3/+iauSUc5+v7+urg6nL5FIpKmpCY2cAvkNjQvu7+9XVVXhUh9UosvlEovFOEdZXV1Fc81utzc3NzPV5TB5LBZ78+YNmgUoz0fr+VF+E4vFampqEGXp7u6enp6OYW5+fl6v16P259XCtLS0oAjQEwwGV1dXzWZzeXk5yhwA0NnZyVzE8/IbPp+Py412d3dFIhEqhSAIoVC4t7cHQyKRiFAovLq6wioea2hoQLzt6OgIyTxgkuHh4Z6eHpRhXn6D3ub1nJ6ejo2N0bRX8Xh8Y2MDriM0fpPL5c7Pz923zuPxcLncubm5cDgci8XgmYb5fXgmk5HJZEjxAashEonQpvsgv/F6vf39/T3fOoVC0dnZ+W1YD8IK7hbwE4OFhQWoBdBoNEjOWSC/yQva/YGJREIkEl1cXNhsNpFIhC9ehfCbwcHB2dlZvIjNzc3q6uqxW1dXV9fc3AxPhDBOPB4XCoU+nw8fNpChwgg7Ozt1dXWjo6Oo7TA8EAg0NTVFo1E8IZ/Pp43tdDp9cHAwOjra2NiIKCmU3+CnCACAy+V6//49vn3irUD2Nyhwd3eXOenQ262tLYFAsLe3x+Vy8UnU1taGbzAo/l38xuPxIBrxRe7y7t27o6MjvMnd3d1IEub1emtqauAOHY/H6+rqfD4fLOL4+FilUuEJLy4uXr9+DacJk9+0tbUhiglz8Pv9L168QBTcZrO1t7fj9QcAcLlcZDIP+Q3aYwAAMzMzzc3NeJKKigpkXfRl8H/8+PHm5gavJI/HQ5NidHSUZsil0Wh6e3tRht/Hb2DySCSytbXV2NjY2tqKQEM553K5o6Oj8fHxtrY2KCeAr2j8Bi4pcD2BrfB4PNC4Hs7o+vp6uVyOnzZREfd7OBzO6urq1bfOYrEUy29qampwirC0tNTZ2Yn2aZIkRSIRs3qZTGZvb89qtdbV1UGhBaztxMQE7WoMo9HIvKwLNa2rq6u5uRnqu0tKSqampgKBACrd7/eXlJQEAgE0AK6vrxUKBRxCJEkajcb6+nrcGAPmPDU1RWMbJElqNBokFCiQ39BkeLpbhyqPeyDNRfWMxWL7+/scDgfGyeVyPB5PLpfjEnqU/Orq6q+//sLXVfTqcXp+lN9cXV2Vl5cj44C2trbXr19/+Nbhw4jJbxYWFsrKyiA6FEXZ7XapVFpbW2uxWKDED+c3XV1dTIF5Ifxmb28PP7DCyYDYejAYfPXq1fv377+t+Ac0aJj8xmq14sfN7+A3sMnwqxxop0L763A4kGiHOXrEYjHkZ+l0uv2rq6qqos3w2dnZjo4OdAq/uLj49OkTOoc9yG9Qv5D3Omb1KIo6Pj4eGRmxWq2Hh4fo1FjI9+Fut1v5rZPL5UKh8Nuwfz+h89OXbEmSHB8fN5lMUHKm0+lw26NC+M3k5CRuWAOZBNqWoJoDn/bX19eVlZXMYYO2SQDAxcWFQCCoqKiYmZlB+u/z83PaSIOPiHdCWV11dTX8sG5gYAAn05ubm/jKDgDY29vDReW07mDym729PdpujZLE4/GKigo46YaHh3t7e+HgOT09bWhouItC5ZXfnJ2d8Xg82PXRaPSPP/74+++/aQ3He1AgEMAZd3x8jJ9GVlZWnj17Rkv44cMHeMpk8pvq6mokb4ft+mKs+urVKyRfyctvFAoFkvow+c3c3BwNsaqqKiSSXFlZefr0Ka2G1dXVaP4y+Y1er8c564/wG9hGKCWtq6tDmy785vzTp08KhWJhYWF6elqtVqO3NH6zuLj45MkTWhNqa2tR/FwuNzIy8u7dO5VKRVtk0ODJ6/lZ+ikav1ldXcVnAUmSYrEYr1gkEvnyncHHjx91Ot3KyorZbO7v70cLEZPfmEwmXH9Hawuyv6EoamRkhMPh4Nv81tbWv/71Lxp6nz59wgUze3t7NTU1nz9/3tvbQ2nVajXzkjOLxYIsbArkN2ikwWpzOBx8FcLbYjabX758Sasq4jcAgGQyiToaKtBR8i93rZWWlqLHx+/5UX6zu7uL7AYAAHq9nsk/cBSY/GZoaAgxD5/Px+fzbTYb2o+lUulv4DfX19d8Ph9tP3iFof/X8Zv9/f3e3l5zPqfVanHdB6xJNpudnJzM5XIdHR1wM6AoKvTVMU8wsVhMLBb39vY6HI79/X2VSoU20cLv91teXu6+w3V1deW15IjFYszKwyY8KL9JJBKOb93a2hoUE34b7EAn8ng8Pjg4yOfzkQIllUoZbi9qghKIQviNzWYzGAxo7NH4DTTNxu15Y7FYe3v7/UoBSLYcDodWq+VyubDCfr8fX1Bo4y2Xy+l0upGREZTzysrK/fzmi60Jbj5Cy7AofjM/P9/S0gJ3tWg0KpPJzGZzMBjEP7uj5X+X/GZoaAit3V9ufXz79i1ussbMZH5+HqqqrVYrLso6ODhA8nNmKia/aWlpQYITGD8cDr948QLJovLym7q6urm5ORi/WH5js9nuX/d/A7+Bisi3b98ieW1XV1d/fz/SSx4eHt7Db87Oztrb2+/irwj2SCQyOTnZ0NBwlyQPxUSewvkN4lJ57W+K5TcymWxsbAydvaenp38Kv4GfPX769Am/B+vLsefjx493qXUQFJlMZmtri8fjIWNEq9WK22nB5cJoNCLd5ffxG4VCga8YqAIAgOnp6XsMQlDMm5ubqampiooKpOWAaQUCAYrz+D0/ym+EQiH+ecX8/LzBYEAcmdl+Gr/JZDJ4DiMjI/gQBAAUwm96e3tpyx+0L0bLGTzgIhYFz/oikQjJbxKJRFtbG879aTV/kN9cXV19+PABsXJa8nse0+n0v2+GyecGBwfR9oByiMfjz549SyaT8XicWdzw8DB+YoCp0un03NwctMw/PDzEF5EC5TexWOwrg6L/X1lZyWtR73K53r59i6qNe/JWEo/A9Pt8PtrpmRZndXVVqVSipRy+zWQyy8vLUAldCL8JBAI6nQ5f4mn2xYFAoLa2Fm3S2WxWJpPdc+bDK5nL5eBl0/B7YA6Hg6SDeDR4fmptbUXUDQDwIL+5vr5+//49bVNH2RbFb5aWlnCjmUQi0draWlZWRtOIocyhhym/gTdC4Sa0XC6Xpv6jZeL1euFXVAqFAtdEuN3uxsbGu1YVJr9Rq9VIvA+L2NzcfP/+PcqByW9CodD//u//oj27WH4TCoWePXuGBgatXdCCCgkC4Vua/GZ/fx/eLsZMe1cIksKiCMFg8O3bt8jqoqGhAXEdeJi5h9/kcrmamhpcJYeypXngt1Q0fT0tDv5YCL85Pz9/+/Ytzg/Gx8dpNiVF8Zurq6u6ujpcL/wT+Q0AwOl0VldXo8X2y9cSJSUlNCEKDgLuPzw8rKyshCFOp7Ourg6f7PF4vLm5GQkg4RaJ98vp6Sm+GEL7YlrR09PT9fX1eQ1lTk5O+Hw+vgvgdcP9FEXh0gdoH0K7BgKP/wj9xfGbsrIyeJEDvKy6vb1dJBLhFiThcBhaXUFkCYIIBoP4NtzS0jI5OQmvCclkMqurq62trQjr6elpnU4HTdBjsRg0antQfjM/P9/Q0ABtUGBWxfIbeFxoamq6vLyEOSSTSSQJAAA8yG9isVhFRQX8qQQkAMhmszs7O/ikLWoEjOf7fYZ4PP7kyZPvzpNWgQL5DS0V/miz2WgXBMC3Lpfr9evXeMwf8T/Ib9DWdVcphfCbRCIB7xFAmdD4DQBgcnKyvLwc4X9wcFBWVvbl9iM4yOHNTzA5/AwK/SDGl+uaSktL0WBeXV0tLy/3eDxwtKRSKbSjp1Kp5uZmr9dLUVQmkzk/P+fz+fhpjKmfAgBAmbnf76coiiCIQCCA1DFF8RuodNvZ2YFfXsTj8fn5+b///lulUnm9XjS2EUTQo1Qqx8fHU6lUPB4PBAJbW1vV1dXd3d14fKfT2dra+kU3BwPhBT94hHQ6LRKJDg8PJRIJvjRns1mdTmc0GuHXSfDOEsRlKYpSqVQ4kXI4HNBSiiAI+LGPQCDATR9sNtunT59OT09hKdFoVK1W48foYvkNAMBqtULxIXXr4vE4zi0elN/4fL4PHz6g7oOoXl1d7e7u4usnDrtEIhkcHPzCadLpNEmS8Xh8aGgItyvicDh2ux1+cebxeGQymUajQYvtzc0N7fcZ+vr6enp6bm5uYBPgmQuWeHh46Ha7IfWH320NDw/DV+l0end39x7hdyH85svFZu/evYPrZzKZhPeG/wi/ub6+rq6uhtZI6XT67OysqakJPzx/t34KdYFOp0MgQAstlUoVCoXgxEkkEuj6N7/fb7PZ4Md6FEXNzc3h1m9yuRzOHXiHDbxlAM0LgiCgOU4ul8tms5eXl0KhEP8UNC+/yeVyHA5nenoabqapVMput8MpA40U5+bmYH1IkgyFQmi6HR4eulwu1NF8Ph+ZYSSTyZaWlrt+ExDB8qg8xfGbJ0+etLW1tba2ikQiuVwOTYnx9lAUBZXufD4fWpiq1Wq0EgEAWltbtVqtWCyWy+V8Pp/H46EzEwAgHA7zbp3m9lb4mZkZuVyOtgT4kR5T/xWLxZqammCekMZ+B79Jp9MzMzPwXhatVgtvK0FNe5DfQKVsVVUV/hkINJvH648yLMTD8huE0oP8BsW8y1MIv6EoanBwED/6M/lNKpXicDjotzgIgtjY2Ghra4M/VyIWi/F7TUZGRoRCIbzticvljoyMoL2KIIjFxcW2tjZ0n4fZbIYsjSRJi8XS2NioUqkUCoXZbB4aGsJvLMzLbzKZzMjICBzA0FwJWYcUxW/gb3XBiqnVanhdjd1un5ycbGlpucsAU6lUlpeXt7W1tbe3SyQSjUazu7uL1mjYKQRBrKyscLlciUSiVqsFAsHg4CBSH8A4s7Ozb968YZ4Rr6+vu7q6uFyuWq1WKpVisRiXfg0NDfH5fIRtLpdbX1/ncDhSqVQmk3G53PHxcfQWAGCz2T5//tzT0yORSFQqFZfL7ezsRNpAAMB38BtontLa2govLhIIBPjHYg/yG5IkFQpFa2urSqVCS9z4+Pj//M//0I7maIQHAoHOzk5oeieRSFpaWtRqNZIoAADGxsY4HA4cRfDLD6PRiPhNMpmkSdTglfQtLS0wiUgkgroJiqL29/fFt85gMEgkEqVSiQiN3+9/+vQprk9ENYSeQvgN1H3U1dXJ5XKJRGK1Wg8ODn6E38DNorGxUavVKhSKgYGB0dHRn8tv3G53XV0dkqykUqnh4eGWlhaFQqFSqQQCweLiIkTb7/drtVqhUKjRaOBNJTgd9/v9KpWqvb1dqVS2t7fL5XKakfjJyUl1dbVIJJJKpfBmBFwWmJffwG8OJBIJj8eDldFqtYia+Hw+hUIB7+ORyWRSqRR9d3Z0dCSXy0UiEbz2SSwWo1Q2m62Qn2qh9f5/9rEIflNURePx+NnZGb5kwOTwt6PhLz7iQjmUOUEQbrcbHl5R4IOeXC7ncrmQYPbB+HdFIEnS6/V++RoFXw3viswMv7m5cblcaFmHt6CiR2b8+0Pu4jdPnz59dre7y+olb1m/VH7zr3/9665qNjU14WK/vHXDA38Kv0FfFOM50/xut/uL5V2xXQav1j05OaHt1jDzQCDgdDpxtRcqlKKoy8tLh8PB1DVcX1+fnp4yw1HavB6SJF0u1+Xl5YMCrbzJUSBFUX6//wsaOBS5XC5vA1GqAj3BYBCfJgWmgp9D2+12KOTAUxEE4XQ68arCt1dXV3lXEpvNBj/eSSaTJycn6PCK5/l9foqi3G43EssVlQlJkvDCZdR3FEW1trbiJth5MwyHw3cNsGg0+uXurrsaeHNzgzY2lDNJkvCSYlQN9CqZTB4fHzNn7vj4+NTUFIr23Z54PH56evp9ay+zUGiYeHJy8rMyZBaRNwReIM5EjyAIl8vl8/kQxcSTZzIZp9N51/wiCOL8/DzvjolnwvQnk0mHw5F3AECxFhIy4WlTqdTJyQn66Q/4qqurC7fFweM/Wv+v4jd3NZhmf3NXNDYcAODxeHDhFsQE/loC/nUfzV/UZI5EIkiL8X2YX19f45J/lAlJkrSK4Y/JZJI5/1FapieZTKIPiZlvCwkJhUJ3yR5oyTs7O3+wLFqG7ONjQ4Bpf/PYagjrc35+/vh/0TAWi2m1WqRdfZxIsrX6QQTgJ+64PdMPZvh7krP85vfgzJbyj0EgmUwy5Y7/mNqzFS0AgX8Ev8lms0NDQ/d89FBAQ39HlOHh4e3t7bwyid9RPFvGb0GAoqgfV4/8lpp+U8jv5je0n974pi7sA4sAiwCLwK9HAP5k2K8v50dLKErG+aOFfW96ltl8L3Jsul+OwO/mN+fn53epGH95W9kCWARYBFgEbn+NAX1/y+LBIsAi8N+KwO/mN/+tOLLtYhFgEWARYBFgEWAReDwIsPzm8fQFWxMWARYBFgEWARYBFoGfgwDLb34OjmwuLAIsAiwCLAIsAiwCjwcBlt88nr5ga8IiwCLAIsAiwCLAIvBzEGD5zc/Bkc2FRYBFgEWARYBFgEXg8SDA8pvH0xdsTVgEWARYBFgEWARYBH4OAiy/+Tk4srmwCLAIsAiwCLAIsAg8HgRYfvN4+oKtCYsAiwCLAIsAiwCLwM9BgOU3PwdHNpe8CBT7WwcEQRR7C3gymQyFQnlLLzwwEokU9btdhef8O2MmEombm5vCS/T5fLTf70ylUsxfT7wnw1QqFQwG74nAfBWPx4vtr2w2W1St4A8r/uDlv9lsttimRSIRGp7M5rMhLAIsAr8NgSL4DUmSua/urvrlcrlQKPSDK8tdmf+6cIqivrbs////m+8dJ0mS+QPIFEUxA38dDsXmnM1mfT6fl+H8fj/8ueyVlZXh4WFatvA3lre2thYXF9fX1+12O/p528vLy+bmZlp8+JjNZsPhsN/vj0QieNesrq7C34LOmwoGhsPh83zu6uoKAECSpEajubi4yJsDQRDhcNjr9Xo8nkAgcM/t2/A3t/13O1r+FEXt7+8HAgFaOHw8PT3d2trCX1EUlWQ4BB0AYHl5eWRkBE9yv7+xsZHW6vX1db1ef1eqZDKJIw8A2N/fF4lEd8XPG76wsKBQKPK+uivQ5XJptVrmW/hbs1dXV4FAIJlMogipVKqlpeUHqYbL5WppacGXMoqi0gyH02K9Xn98fIyqwXpYBFgE/rMIFMFvjo6OeLeOz+drtdrx8XHmOcztdldXVxdyiCRJ8p6t4jeDcn19DZuG/52fn/+d1VheXp6cnKSVGIlEuru7aYGP5/H6+tpisfTdupaWFqlUCv0jIyNQDJOX30xMTKhUqrW1tcPDw62tLbPZbDAY4GC4i99cXFyoVCqNRmMymZRKpclkCofDEIdC+M3+/v7wrTObzVVVVdA/PDy8urp6P79xuVwdHR06na6/v39wcLCrq0suly8tLUH2RuuIXC7Xe4fr7OysqanBN0sAAEVR3d3dd+2I4+PjtE09nU7z+Xzpt85isaBqPMhvksnk3t7exldXXl4+Njb29Wkjk8ncz2+6uroQ7LDQvPxmeHhYe+sMBsPy8rJOp4OPBwcHAAAmv0kmkwaD4dtm/ftJLpfv7+8DAO7iN7OzszKZzGQyGQwGkUi0uroK6VeB/KazsxNWDP0dHx9HfJHJb66vryXfOqFQODo6ivBn+Q2CgvWwCDwGBIrgN4uLi2VlZfF4PBKJbG9vK5XKP//8c2trC1+1E4kEWmXub57T6eRyuffH+W1vLy8vW1pagsFgFHO/mX6ZzWaVSkVrst/vr62tpQU+zseOjo65uTla3Zj8JhaL/fHHH/F4HI+p0WiOjo4AAHn5DUVRLS0t29vbKMn4+DjCqhB+gxL6/f6Kigp8xN7Db4LBYG1tLawYyiESifD5/O7u7qLkatFotLS0lFYu5Ddzc3P5REvncPdF5QIAEomESCS6Z1g+yG8ikcjw8HD3HS6RSNzPb1paWi4vL/Eq5eU3wWDQd+t6e3tXVlagX6fTQfq+uLhIk99QFBWLxeDMGx8fF4lEaBZCGUxefjM3N8fhcKLRKKxPOByura1dX18HABTIby4vL2Hd4N/z83OpVIrgZfIbvOHQv7u7i4u7WH7DhIgNYRH4DyJQHL+pqKjA67q/v//58+fDw0M8sED/6enpXZqIAnP4idEuLy95PN4PCrR/sD7/aH5DEERLSwtN3gAAYPKbSCTy5MkTtC1BMYZWq4WjKC+/WV5eNhgMOJ9IpVI8Hg+KiIriN4eHh69evTo5OcE7K69+KpvNlpSU0MgNTJXL5VQqlcPhwDO5338Pv5HJZHmFPs3NzTQ8f5zfwEpCPdr6+vrs7Ozq6urFxQUiXj+F3yAoenp6bDYbfNRqtcvLy3nlNyg+fCuXy/GQvPKbZDL57t07v9+Pxzw/P9doNNlstkB+g6cFAHg8HoVCgYYZy29o+LCPLAL/OAR+iN8AAKanp3EFfDKZPDg4QMslACASiYyMjKjV6rGxsUQiAQE6Pz/v6en5+PHj7K1D6xRJkg6Hw2q1otUQB3Rraysej0ej0bm5Ob1ev7CwgL+F/nQ6vb6+bjQaLRaLx+PBI5AkubKyYjQaBwYGvF4v/up+frOxsRGPx51Op1arXVxcRCtgIBAYHh7W6/Wzs7M0gUQ6nYZbo9fr7evrs1qt0NQjm83u7OxoNJrZ2VkkCYc1KYrfbG9vG41Gs9l8dnaGow2XaY/Hg3DY2tqCQvtAIGC1Wjs7O2mwwNJ9Pt/g4KBOp1tfX6dlSHvEcUN+v9/f2tpaXl5OU00y+Q1FUSMjI3w+//DwMBKJQFTlcjm0n8jLb7q6upiaO61WC/UdhfMbiqJ6e3s7Oztpxhl5+Y3D4aisrLyr7YuLi9PT06j50EMQBNLWQT0d+msymV68eEHLrVj91M/iNw6Hg8fjLS0tHR8fLy8vc7lcJHi7n998+vTp/Pwcb3Ve+Q2KIJVKkX0Pj8eDjJCpn0LxAQDz8/MymQwPyctv/H5/SUkJLVokEuno6EjdOloX02LmfRwfH+/v70evWH6DoGA9LAL/UAR+lN9cXFyUlZUhq0O/38/j8RADiMfjzc3NEolkaWnJZDKh/W99fZ3P5799+9Z065xOJwAgl8t1dHRwOJzBwcHp6em6ujqtVotvCdXV1ZOTk3w+v7Ozc2xsrKKiwmAw4BHS6bREIuFyuRMTExaLpbS0FG6BAIBoNCqRSNra2ubm5oaGhmpqavCj+f38pqKiYmZmRiAQjI6Obm9vU7duc3Pzw4cPBoNhenpaIpE0NzcjlgYACIVCPB5vb2+vtbV1bGzMaDRyOJxAIGA2mxUKxezsbH19fWdnJz5oCuQ38XhcKpV+/vx5YmJicHCwtrZ2bGwM4Q8AsFqtarVar9er1erJycmampqxsbHDw8P29vbh4WGTyfT69WvmLlVfX2+xWBYWFtra2hQKBbKa3NjYePv27f3fNJEkOTQ0NDMzMzg4aLFYUNq88hvY5LOzM51Ox+VyFQoFzqjy8pvt7W2NRoNnG4/H29vbIV0ukN8QBHF4eCgSiWKxmFarHRoaQvwyL79xu92lpaU4sHhnzd06PAQAkMlk6urqoNH0ej5Hiw/5zfb2diyfGxwcZMpvamtrp6enF766tbW1eDyO1FsDAwMP2hdTFFVVVYUP/nQ6zePxoC3dPfzm+vr6+fPne3t7eCv29/f5fD6sPt5BAICbm5vPnz9DkOPx+OfPn2GEhYUFqVSavHX45IXZ9vf3l5eX40Xk5TeZTKakpMTtduMx7Xa7Tqf7PvlNOp0uLS11OBw3NzeRW7e/v0+zL06n0/vfOngkQHVg9VMICtbDIvAYEPhRfhOJRKqqqnw+H2wMjd/s7e2JxWKk98GNE3d3dxsbG2kQHB0doV3n6urqzz//RDkDAKqrqwUCAbIAOD8/f/PmDbJxJklSoVCo1WqkQQ+FQuirisHBwYGBAUS8bDYbMuCAZh+NjY1OpxN9CRQOh9HiW1FR0dbWRqMvLS0taJOgKGp4eFgqlaLtMBQK1dTU9Pb2xmIxSN3UajU0IoFxXC5XaWwQIEYAACAASURBVGkpEmgBAMxmc0NDw+K3zmq1fvz4EaFEEERfX59MJkPiosvLy8rKSvxDG6vVCokdLMhut7948aK7uxuqhEiS1Ol0SqUS5en1esvKyhwOB2xvKpVqbm5eWVmBEY6Pj2Uy2T1f56ZSqcHBQZVKdXNzk0qlTCaT2WxGH9bS5DeZTObi1rndbqfTeXZ2tr+/v76+Pj8/Pz4+vr+/n5ffQOLb39/vdrtDodDZ2Zler+/r64M1LITfhMPhoaEhiUQCd8RkMjkwMKDT6XZ2dnK5XF5+QxBEbW0tzbwMlphMJuVyOVMMlslkhEIhGn4I4bs8FEXNzMxotdq89jByuXxsbAxPm0gk6urq5ubmlr+6zc3NeDw+8NUJBIIH+Q1Jkq9fv6YR1o6ODijRvIffTE5O1tXVfRldaF7A76c+ffoE609jGyMjIyaTCdbf7XYLBALoX1hYKCsrM906ND3hq1wuJ5PJnj9/Thtvee1vtra2Wltb19fXA4GA3+9fXFzkcrlQy/kd+il4cAoEAkNDQz23TqFQ0PiNz+draGgYGxubxBw6QQEAWH6DD1fWzyLwH0fgR/lNKpWqr69Hpzoav3E6nc3Nzfgujhqcl9+gt9BTWlq6ubmJAqurqxcXF9EjRVHv3r07OzuDIR6P548//kA7K4oGLTxoBCUWi7W3t6M4l5eXT548+fjxY9lXZzQa0TcyFRUV4+PjKDIAYGZmxmg0IrYE5UPl5eVILhIKherq6vAIY2NjIpEI7Q3JZBKPD/lNeXl557dOpVK9e/cOFR2JRJqamnDjFQDA3NxcXV0dytlqtQqFQvSYzWb//PNPfBVeX1/HbZZNJlNPTw+KDwDY2dlB5O8LyAgHVA3k8Xq9jY2NVqsVberZbHZra6u+vv709JQpv/H5fO23js/ni0SikpISiUQCP+FxOBzJZDIvvwEAJJPJqamptrY2yHE3NjZQrQrhN93d3UtLS4hnAwAIgggGg7Ozs3fxG9inHA5nYmIC0VaKok5OTmpra8fHx1EgQqNYfgOJ7606Jf8fmkTkZ+mnxGLx5OQk6vGjo6O2tjY4Se/iN1/49MePH4+PjwUCAV6r/f19gUAAa4+P9pubm9LSUjQZV1dXh4aGIFALCwsSiSRx61Ad4Cuv16tSqcxm8+DgIEI1r/wGTuqLiwu9Xl9TUwOlodfX1zDDYvmN3+9vbGyER5rMV3d6esrkN2q1Gm8+XkmW39DQYB9ZBP7jCPwov4HyGyRTofGbbDbb3d0NFUaXl5f4cpaX3xAEcXFxsbS0NDQ0pNPpnj9/vrS0hDCqrq5GcgUYWFlZiayb19fX37x5gyLjnnQ6XVlZOTMzs/LVzc/PV1VVQeEKlN/cY19cUVGxtraGZ4g+BsEDm5qakB0D5Df425mZGdywIJfLVVZWIgkQ5DeIVaCEtO+n/H5/W1sbvk/DypeUlCDSY7VaxWIxyuGLCdSzZ88QSgAAm8326dMnuBuRJNna2trd3f0VmH//HxkZwZWMeFY0fzQahbpFWjjcIwAAu7u7CBNaHAAAn8+HzDidTjudTrvdvra2Vl9fz4x5T0gh/AYOvGg0inZcWoZerxcJDvFX19fXZrOZz+drNBr4DbNSqUSUGo8JAMhms42NjTqdznDrxGKxXC6HfvgXcj6Y6ubmxl2YQxX7WfwmHo93dHTob51Go+HxeEgWlZffkCQ5Ojra3d1NUdTExIRMJkMnlrz2NxRFTU5O4upXtVptt9thw++yvyEIwmw2z8/Pp1IpgUCAjgp38Rsa+PhjUfwmHA6LRKKNjQ08B1goy29omLCPLAL/LAR+lN94PJ6ysjJ0dKPxG3hCdblcQ0NDLS0tRqMR7c1MfkOS5MDAgFqtXl1ddblcoVCoqqqqcH4D5d550Y9EIhUVFfPz82vfOiQDeND+hsZv5HL57OwsrSwej4cUCr+I30D5B8IQVuDL3bvv379HeroH+c3h4SHiN7lcrqmpqbe391tg1k5OTnAySmsp7fH6+vr0Dre3t4f2TloqnN/c3NzMzc1NTU319/dXV1czY94TUgi/gckXFhbw22JQniRJdnZ20kzO0Vv4vXE4HA4EAvF4nCm2QTEpisI/ORaLxWaz2Yc5RAsAACcnJ/0MV1tb29XVRQtGFwDm5TeZTCYQCMAJ+OD34aiq2Wz26uqqurp6d3cXF0jk5Tc7OzsCgQCqtFKplEaj0Wq1UEOal9/4fD6hUAgN6gEAPp+Px+MhjWpefkNRlNVqFQgEMNr6+npbWxsio3n1U6gtTE+B/AZK4xoaGiYmJnAQYIZM+2Kfz8eU35AkGYlEoOiI1U8x+4INYRH4DyLwo/xmdnYWadYBAEx+g9oWj8c/fPiAFD1MfrO5uVlWVoZOq9DgpnB+c3h4+H/+z//Ju/1QFNXU1IQYAKoS8hTLbwYGBmgi9FwuV1VVBa8jg/bFdXV1KH+o0vpx+U0oFOJyuUgZBPM/OjoqLy9HXK0ofgMAYNp54NUuxL+9vS2+w9XW1iLFBJ6VSqWKxWIGgwEXaUBZVEtLCx4zFAodHR0dHh7u7e3BK4+Hhoa0Wm1bW1tlZWVHR8fCwgKPx8OT3OWfnZ3t6urKMlw6nb7n/uK7cnswXKPRTExMPBgNj9DU1ESzjMHffqFHHz9+VCgUSqVSIpG0trZ+/Pjx2bNntbW1UHr3IL+h3dPd0NDgcDii0ajL5drZ2dne3qbxG5Ikx8fHX716RZPSabXaL6Xnvb84m81WVVWh80A6nX737h2uZWbyG4IgxsbGysvLEQeCH4q/evVqZ2eHoigavyEI4vz8/Ojo6ODgYGdnZ319fXp6uqenRyaTcTic9+/fb25uPvj9FEmSIyMjlZWVLpcLBxn5mfzm8vKyurpaq9UqlUqxWNze3l5RUfHkyZM3b95YLBaCIFh+g9BjPSwCjwGB7+c3JEkeHR1xOBxcyULjN+l0Giccer3eaDTCZttsNtpNaxaLBb/4KxaLlZSUFM5vYrHYu3fvlpeXccEDPNdSFKVQKGi6LRz9YvnN2dlZW1sbvhzbbLba2lp0QP9F8ptUKiWVSvGLlTOZjEgkwu84LpbfrK+vV1RU0Cw6ETgURdHERehVIR6afTFKwuPxaF+Sw1fJZBK/xw8A4HA4+vr6+vv7BwYGhoeHJyYmlpeXDw4O3G53JBIhCKJw+c3MzExlZaUqn6utrUVfMgMAYrFYoAAXCoXguZ+iqFQqBW1K0F+FQmG1WtEj9OD0HaGBPPfzG4IgbLfu8PDw5OQEyjiR6LSQ32c4Pz/X6XRqtbrj1onFYpVKZTAYLBbL1NTU3t4ejd/kcrm5uTmkfUb1zGazMJApvyEI4uDgAM56kiThF0b4lGTyG7/fr9FokLQGlXJ2dra9vU2SJI3f5HK5paUlOCoGBwetVuvMzMzm5ubp6anf70/eugf5jc1mMxgM95x5mPwmnU7v3jqbzXZ8fGy326+urvAOZfkN6jvWwyLwGBAojt+Ulpb6fD6Px7OysqJWqz98+LC2toaLdmn8xmAw9Pf3w53s8vLy5cuX6CR3dXX1119/nZ6ekiQJP6PY2tp69+7d+fk5SZJ2u10ul3/48KFwfgMAODo6qqys/PLlNkEQsVhsYGAACQ9OTk6qqqrm5uYymQxFUXa7HV51CvugWH6TzWYNBkN7eztUDdjt9s+fP+Mq/F/EbwAAp6en79+/n56ezmQyyWSyp6enoaEB/w6lWH6Ty+XUajVSKMTj8aGhIaSs2dnZqa2tvUeocP8gLpbf3J9b3reF85vZ2dmenh6S4QiC0Gq1OL+Zm5uTFuA0Gg3UwkQiEaVSWf+te//+/cePH78NqzeZTPh8obXofn5Di8x8fFB+QxBE/NYlEolkMplOp3F6BACg8RtmEbQQJr/BI8CLBHEGAAUz+DEGWgrfz6Fp/AYvIq+/EP0U/DW9vMlhIJPf3BMZvmL5zYMQsRFYBH4nAkXwmy8fIX+8dWVlZSKRyGq1Mo/goVBIp9OhRTOdTnd1dZWVldXU1FRVVeGCB3g3YGlpaVlZGfqo1WKxlJSUVFZW8vl8t9vd09ODn+ZFItHu7i6ODp/Pp10je3R0VF9fX1paWl5ertVq8Y3f6/U2NTWVlZWVl5c3NDQgXRIAIBgMwpsz8MyRH5nBohBoV2SxWMrKyj5+/AhJFX5IjUQiUqkUj7+2toZLWQiCEAgEeOXHx8d7e3vxJFDPJZFIaIHBYJDL5X65dqikpEStVuNiJHhDGvouFyasqalB1p0AALvdLhAIcLkaQRCjo6NlZWWVlZXl5eUmkwlZXn9hgR8/fkQmILSaPPh4F79pbm4+PT29vMPRFHD3l1IUv9HpdEGGCwQCCoUC5zf3l/jr3v5qfvNgzX8uv8lbHFN+kzcaHvgr+A2ef14/y2/ywsIGsgj8gxAogt98d6tyudz19XXeI1oikUBbKTzJxW7dd5cFM4lGo3n3SPhLN7FYDOciP1JWNpv9cvX+z8qt8JpQFHVzc4PUYYUnvCcm/IFuWjd9uS7lR0rZ39/Pe830wMAA1C/QbGnhI5Ie3VNb9Gpvb89gMKDHezxHR0c6nY75Ywhms5n5y5H35PPrXmk0GuaZofDidnZ28AsUCk+IYtpsNnTYQIH3eM7OznDWfk9M9GpnZwe/JhiF3+Px+XxIEHtPNPQKGlQhizQUXpTH5/Pp9fqipvbw8DDNUKmoEtnILAIsAj8Xgd/Bb35ujdnc/kEIEASRVx3D0BF9E1DUpkIQBI2T3YUPVEnk7nBFFXpXET8YDpWn353JXWgXniFBEEXRApIkCwQf1aHYIuAPoBZVK3iXNCrx+zzf0bQvv1mGi0W/r1w2FYsAi8DPQoDlNz8LSTYfFgEWARYBFgEWARaBx4IAy28eS0+w9WARYBFgEWARYBFgEfhZCLD85mchyebDIsAiwCLAIsAiwCLwWBBg+c1j6Qm2HiwCLAIsAiwCLAIsAj8LAZbf/Cwk2XxYBFgEWARYBFgEWAQeCwIsv3ksPcHWg0WARYBFgEWARYBF4GchwPKbn4Ukmw+LAIsAiwCLAIsAi8BjQYDlN4+lJ9h6sAiwCLAIsAiwCLAI/CwEWH7zs5Bk82ERYBFgEWARYBFgEXgsCLD85rH0BFsPFgEWARYBFgEWARaBn4UAy29+FpJsPo8UAZIkH8NvLzxSdNhqsQiwCLAI/JciwPKb39ex2Ww2nU4XVV4qlSpqb87lckX9HtD19TUt/3Q6XVQO8OeB8v6aaVEt/UWRSZLs6+u7urr6Rfmz2bIIsAiwCLAIPE4EfiG/oSiqv78/Go0+zpb//lotLS0NDw/nLTcWi7nd7kgkQmMbSqWyKABtNtvU1FTeIpiBuVxOKpXSqMn4+PjKygoz8j0hPp/PYDAU9cuC6XT6+Pj4njwBANlsNnWvK4SH2e32hoaGvL/xeX/pv+it7db9osx/erYnJydnZ2co21gstrS0RBui6O3/O55EIjE9PY2395/VrXjNf5t/ZWXl9PT0u4vb2to6ODj47uRswv83ESiC30QikQOG83q9dwFHUdSzZ8/cbvddEX5iOEVRzP11e3vbYrEUsgv+lJq4XC79V6dQKDo6Or4+6eGWMDExYTKZ8LIoinI6nRKJpKmpSaVS8W4dvgo0NTVdX1/jSQAAqVTq6OhoeHi4s7NzcnLS4/EQBAHjbG1tWSwWWnz8MZPJBAIB/627uLiora11uVzwMRwOAwD6+vpoa3c6na751n38+BGP43a7hUIhE3+8XJr/8vKypqbm/p1yeHi4GnMvX758+vQpFlBtMBho2dIeSZLs6elZXV3Fw3O5XDQatdvtiUQCDwcA3NzcMAVaeJxYLIZmgN1u93q9sVjs/lbgySG893cQLf4PPmaz2cvLy52dncnJyePj43A4XFRtR0dHJyYmUB0uLy95PB4abCj893uSyeTFxcXi4uLCwoLH4/kO/hqLxVwu1/yt83g8NJZ/f4tCoVBdXR0ep6+v73d2K1407qcoKhwOHx4eTkxMLC4uXl1dFTUr0dg+OTm5uLi4vr7+iX0tFotHR0fx2hbl12q1ZrO5qCTfHTmbzZ6ensbj8cJzsNvtDoeDObmCweDx8XFRo+uuQn+1nj2XyzmdTjQGDg4OXC5XUePnrpr/B8OL4DeLi4uvXr2yfOu2trbuqv3v5DeRSIQpdZibmzMYDMxt7K4K/2B4PB53fnUdHR0jIyNfn5wwZya/icfjSqXy6OgIDiOKohwOx+fPn1GdmfwmkUjIZDKj0bi1tXVycrK0tCSVSkdHR2EOD/KbQCBgtVotX53BYOjv74dPc3NzefkNACD5rRsaGhofH9/Y2Oi8dTKZrFh+c3x8/OrVK4/HA5F58G8ul2tvb6+oqCiKrcZiMZVKFYvFUP6ZTGZoaKi5ufnJkydHR0coHHrUarVQKLyniJ2dnerq6uHh4aGhod7eXp1OJxQKDw8Pafnc89j3GzfCVCrV09PD5/N7enrGx8c7OzsFAsH+/v491aO9epz85vr6WqvVGgyGmZmZycnJpqam8fHxonbis7OztrY2lUpltVpHRkaUSqVarb6n32mwPE5+Q1HU7u4uj8fr7+9fXFwcGxtrbW0tXOZBkuRff/3V09MzNDTU399vNBpFItHs7Cxzz6ahUeDjP4jfrK2tPX/+fG9vr8CmURRVWVlZUVERDAbxJBRFicXiDx8+OBwOPPz7/Nvb2+fn59+XtpBU4XC4qakJbQcWi2VpaSmbzRaS9tHGKY7fVFRUUAx3V9t+J7/xeDwajYZWE5Iki1r1aMl/5FGtVi8sLNByYPKbYDCo0WhoY6ixsdFut8O0TH4zNTXV0dGBtyuVSnE4HKfz3yzqQX4DBV0EQSQSiZOTk83NTa/XS9w6yJCY8htaKwAAY2Nj4+PjsVjs6tZtb28Xy2/UarXZbK6trS3wkGS32/l8PpfLvYdPM+vp8/lMJhOOFUVR6XT65uZGIpEw+Y3D4djb24M4MHMDAOzs7HR0dMBXFEURBLGxsfHy5cvCzap+J7/R6XRSqRRJmEiS9Pv9gUAgb9PyBj5OfmO32xcXF5HMJplM1tfXX15e5m0CMzCXy1VVVW1sbBAEATfvbDZrs9kK38gfJ78BAPh8PlzHvb6+LhQKmQjkDSFJsqamBgpx4Srh9Xqrqqrw40HehAUG/lP4TTab5fP579+/L5bfyGQymqj46uqqoaGhra3tp/Cbnp6ezc3NAtH+jmiBQEAgEMBJgTb578jnUSUpmt/cX/tsNntxcXF8fOzz+b4oAp4/f47rpwKBAE1SFwwGabs7QRB+v//s7Oz8/DyZTOLFZbNZv99/enrqdDqRhAMAEI1Gt7a2BAKB79ahIpLJJJyueCaJROL8/Pz09NTv9+Ph0B8KhUiSTCaT5+fnZ2dnzOTMJMwQgiBqamp0Oh3tFZPfJJNJtVq9sbERiUQymUwsFtvc3GxpaUGY0PgNRVEGg4G5MZvN5o2NjUL4DazS8vKyUCg0m81Wq1WpVEokEpfLBV/19fWJxeKJiQl8LqnV6v7+/oGvTiaT4eytcP0USZJer1epVPb29maz2eHh4Y6OjvuloIlE4uDgQCAQ2O32q6srPp+/vr5+c3NDwzbv49zc3ODgIPNVNpuVy+VMGJkxaSE4v4GvEonEixcvEHowkCTJUCjEHKh36adSqZTb7T45Obm8vETbNgAgl8vRNEqRSARnhDACrZLw8YsC7vXr1/eoj1FV4XRzuVzMnawQfkNRFJyVzAkLJX8ul+v09PTi4gJOT7zv4GQ/OTk5Pz8vXHxCay9FUVKpFB0JaG9pjxRFdXZ2arVaHGdaHPgIO+X09BQuZXicAvlNKpU6Pz8/OTnJqycKBoNnZ2dOpxPC4vP50KyHa5rD4bDb7Uz1NF6T+/12u72xsfH+OOgt5Dd4cblcTiwW7+zsoDjwY4JAIGC/dXlNA9PptNvtPj09pQ1msVg8NjaWy+XgaLm4uGAeJEiSvLq6Ojs7c7lcaBmHpefVT8Xj8XsW83A4TJJkIBAoXNmUy+W0Wq3FYqmuri6W38zOztJOU8vLy1artbGxkcZv0un05eXl6empy+XCOx229Pr6+vT01G63o7mfzWaDwaBMJpuYmPD5fMFgEIfu5ubG4XDA3Qrn6NlsFs5or9d7enr64ID3+XwymQzPAe/3f6j/Z/KbWCzW0dHB5/O7uroUCkV3d/fr169xftPe3k4bNCKRCF+Cs9msxWJpb2/X6/UqlaqpqQmpMBwOh1AolMvlJpNJKpUqFAq0UM7MzHwhnh8+fOi4dWiz2d7eRqdt2D1er1csFisUCqPR2NbWZjabaSdvuVy+s7PD4/F0Op1cLudwOLhI0OfzdXd3M7cBWt/Pzs5KJBKhUIjbZgIAmPwGAHB1dWW1WnU6nUql0ul0g4ODPp8PZUjjNwCA3t7epaUlFAF6Ojo6ILAPym/g0llbW4vO8SRJ2mw2nU4HZ1pfX5/BYIDKV1TK+/fvj46OPF/dxcVFLBbb2toy3zqVSvWg/CaTyRwdHZlMJqFQuL6+DjczgiA2NzcFAoFGozk8PMQFLQAAt9s9NjYmFAoNBoPH44FHCr/f39PTw+PxhoeHaasGqi3yGAwGqHRDIdDzE/nN1dXVq1evcM4BAFhYWBAKhd3d3RqNRiKR4CyZKb/x+XxCoVAqlUL9kdlsRjhEIhGFQoE2/lwup9FocCsEl8vV2dlJax181Gg0arX6/tUqk8kMDw+3tLTA6dbc3Hx2doYneZDfZDKZgYEBHo/X1dWl1WoVCkUkEkH1iUQiSqWys7NzYGCgpaWltrZWq9Wur6+jCFarVSKRdHd3KxQKmUyGZjSKUIiHoiiJRIIPhv7+/rvUcLFY7MmTJw/atl9cXLS3t0ulUoPBwOfzu7u78bNWIfzG7/eLxeKOjo6enh6RSISPQ4qi1tfXuVyuxWLp6uoqLy8XCoVarTYUCsH2npycCAQCo9FoMpmam5u3t7cLwYEZZ21tTSaTofDLy0uj0YhGFwqHHia/SSaTPB4P1QouViqVSiwWm0wmaC9I+zLR4/G0trZKJBKTySQWi/v6+tD+DR+7u7uVSqVOp6uurh4fH8cHWy6Xm5ycFAgEXV1darW6tbUVP4Iy+Q2+mLe2tvb29tIWc4VCsbW11dLSolKp0D5CazXtcWlpqbq6+ubmpqqqCt+qIpGIXC7HxxieEOqndnZ2ZDIZomUEQXR2dp6fn9fV1eEJHQ6HTCZTKBRdXV18Pp/2hcfu7m5jY6NarYarAVQv+v3+rq6u0tLS5ubmjo6OoaEhNBoPDw9bW1sNBgOMb7PZUMUuLi5GRkZWVlb4fL5SqaSBg6Ihj9vtVqlUeI+gV/Cspdfrad2NR3ic/uL4TXl5eRpzaOwCAAiCaGlpkUgksINJkpyamqLZF5eXl6+treFA1NTUIDoCGQCXy0Wdd3BwgJZLm82GH9EUCgW+UNrtdqlUiucMAFheXm5tbUWBmUymrKxsamoKkt94PF5bW9vf34/36Js3bzgcDhoKPT09XV1diCzPz89/+PAB5x8oc+ihKOro6Oj9+/fhcPjLcfbNmzcnJycoOY3fQAUHQRC5ry6bzWYymXQ6nUqlIN1m8puzs7O///4bno1IksxmsxsbGzU1NZB1FcJvzs7OWlpa8FbH4/GOjg4oEsurnyorK2Oe1S4uLvZu3eTk5IP8ZmFhobGxcX5+Hh8zCL3V1dWGhgbaOt7V1TU4OIgvryh+LBYbHR1VqVQoJK9HJpPR8oTRfoTfwJUC9lEoFJJKpf39/XjpOzs7FRUVSM4/NTXF4XAQ2jR+E4/HKysrh4aGYIRYLNbe3t7d3Q0fU6kUj8dDDDuZTPL5/KqqKpTb0tLSwMAAXjr0EwTR3NzMtEijxVxdXW1qakL8aWtri8PhoBkHALif31AUNTk5yefzUZ+OjIwMDQ2hUnp7e9FjLBYrKSnBt5nFxUU+nw9HHUVR3d3dDxIylDPuIQiira0N10/9/fffd1n7OhyOf/3rXzQ+iucGAEgkEm1tbePj4zCcIAixWGy1WlG0B/lNPB6vqqpaXFyESUKh0OfPn9EMCoVCTU1N6HF9fV2j0aDjdSaTqaurQx8Z+P3+yspKdBpBdbjHk8vl0un06elpU1MTvmZubW09e/YMl3zjmZAkWVVV5ff74QIfj8cHBgbkcjkabAAAl8uFK4gHBwd7e3tRJtFotLGxERkRZ7NZh8OB6JRYLH737t3mVw2L2+0uKyvD23VwcNDe3o4W/7m5OZVKhWCh8Ru4mE9PT6OJU1tba7FY8NqWlJS0t7ejwYnqeZcnEAjU19fDBYfGb77Y5j958gT/qALPBPKb09PTzs5OtOAkk0mlUhmPx6urq3F+Y7PZjo+PYT0zmcynT59QtslksrS0FG2R8Xgc7yyZTIbQg6V/OfWVlpaiDdRutzc1NaHtxul01tbWtre3oy7A68z0O53O1tZWsVhcUlJSXV09OjqKVgYAQDAYfPr0Kc6fmDk8wpDi+M3z589VmMM/Rd7b26uoqMBlG0z7m/v5TSgUevv2LU3mcRdkKysrRqMRvS2E3wwPDzc3N+PD/fr6uqmpCZ9j5eXl+Fi8uLgQiUSom3O5nM/nu2u4XF9fT05OqtVqlIPT6TQajf39/XCY0vjN+fl5b29vX19fb29vT0+PRCLp7Ozs6urq7u42m81Qe8LkNwCAzc1NSP/7+/sNBoNGo0EysEL4TSaT4XK5q6urqVSKIIhgMDgwMGCxWGC78vKbt2/frqys7O7u7uzsbGxsLCwsjI6OomYWop/C1x3UazQPikNRVDQaDRbgIpEIms+03AAAfD4/70n9R/hNWVmZXq/XarUikaiiooLL5aKtCG6NdXV1JycnqDLZbPbDhw+Io9D4zcLCAp/PRw0HAHi9XmR5DW9YQBKak5MTi8XC4XAQ8kajMa+gIhaLwS/jno+UQwAAIABJREFUUDWYnlwuV11djdufEgSh0+nwSX0/v0kkEkKhED/S+Xy+5uZmVBYUCKFHs9mMMo9EIjTldTqd5nA4NAtNlPYez8rKilQqRWcSAEAgELiLwayvrz979gwHnJnzzs6ORCLBF4rz8/Py8nKku3mQ3ywuLtLMAYeGhtC3k2dnZyqVCi0j6XRaLBajzA0Gg9lsxke12WxeXl5m1vOukLGxsc+fP//5558LCwuIHwAAMpnM5eXlXW0nSfLVq1cKhUKn08lkstra2rKysrW1tbviAwCOjo54PB6qxsrKilwuR480j1gs7u3txdvV3NyMZgpBELW1tfj2SZKkRCJBo4vGb4aGhnA9PgAAskZ8/Lx7946mXPu/7J33XxpL2///3Ocu39w5OenFxF4oAhZEiihgAwsYxV6woGKvWFAUBSmC9LbtmyfznHlNFjBgSXLnzPyQzM5Ofe+689lrrllYXWId6vV6KGpZ+oaiqLOzM/QeQ8sCfXNycrK/vw9fHTc2NgYGBmiaZukbtCDDMCaTCdrYQqHQ+/fv4V83KydL31AUpdfr5+bmYDYgxKHAOjs7KykpQRUSzJk14vf79Xq91Wr1eDyHh4dyuRwa9UF+1hJq1kp+tcTC9M2nT5+CSEDZjY+Pd3V1ocMrVN+sra19/PgR/QNAawPxVCp1cHAwOjoqEAhkMhnM8F19Q9N0XV3d7OwsLMIwDPBvR++nqqoqqBXAg1IikUCTI1o2M26z2UwmE+vBmkgk9vf3wVOGpW+SyaTX6/V9DZeXlzU1NV6vNxKJAOMNeKxk1TdgHvV6vS6Xi+XAlI++YRjG4/HodDo+n19ZWVlfXz8zMwMvZVZ9o9frR0ZGxsbGJiYmTCbT6urq8fEx1LLf1TdgSf4ijwDqBKsezd8GHo9XWVn5bdr/rgHBbmReEblcjhqZYYb76JuWlpbQ1xAMBn0+3+bmZnFxMbSUAHN0KBQKI6G+vh6+eKH6hqKonp4e+JYPu8fn8+ES5N7e3vv378HN0NnZubu7OzIy0t/fDzI3NjaidgtYQzQa5XA4cPKA6WjE6XQWFxezloSWl5fRP6vb9c3NzY1YLPb5fHCsbre7oqIC/r00Njairyv9/f3T09OgD3t7ex8+fGCBkkgkwE0e7eft8WAw+Pz58/y3sG1tbT158uT2h0xfXx80QoDWKYqqrq4GLm5gKr1lfzhFUb29vRaLBWIJh8NLS0s8Hg/UdnZ2hm4RSCaTzc3NUN+8fv16c3MTLWsymVDr0e1AwGcO3G737u5uU1MT64l3S1mKosrLyx0ORygUCgaDwIGssbGRZZ4Epnq73T41NSWRSEpLS2GdXV1dCwsL8JAVyfQvlslkUJ17PJ7Xr197vV448FAopFKp4IsBqm9omhYKhayhURQllUqhMYNhGNbDnNUf1uHOzk5jYyN8erP0DSsz6xDqm3Q6XVRU5HQ6GYbh8/ngzServkmn07u7u8PDwzweD5pYaJr+cqE/ffo0Pz+feYuy9E0qlQJuZ5BYOBzu7e2F1wt8eSSzHlbn0UNUywaDwbu9b6AV/vR4YfoGvZvRroM/aSh+walC9c3o6KhIJEKrRePRaBT4CnR0dCwtLY2Pj6PvCt/VN+AjLuj7AdA3arUa/o1l/klcX1/nr29Ab9PpdCxHOD09Rd/10dHF4/Ha2lrwfnB5eSn7K1RXV8MHH5o/VzxPfQOLozc0SFxbW2NRAulgLSydLVxfX6+srGRWBVsBAgiVJiKR6MWLF2gKiGeVI6Aek8nU1tYG68wn0t7ejvpBwyL30Tcsjy6GYfb29rhcLhCIVqv1zZs3Vd8GDocDzSSoviFJUqFQZKoQlUo1NjYGehuPx//880+Hw5FOp9+/fx8Oh10uV3V1NfiwTX19PTQuwtEBJ9CGhgbWBIBmAFbAiooKaEUAZ3d3d9GZ+3Z9Y7fbnz17VllZWfVtgFp5ZGRkaGgImAk9Hk9paSlcLpmfn3/y5Mm35arq6+vRBSzQpVv+jcfjra2tUO3dkhOeury8/Oc//4l6RMFTMCKXyzNvG4lEAj/Oebv9BlzW4uLiqm8DfF7d3Nw0NTWBz/Ykk8mlpSWVSgWuYywWe/LkSUlJybdFqxYWFm75+4I9Z0WcTmd5eTlcCGOdZR1m+t8AH7h//vOf0CiSTCYXFhbEYrFSqZybm5ufn+dwOLCe5uZmdPUKpoNIpr6Ry+Xw2bu7u/uvf/2LdS/V1tZCZwBU3ySTyYqKCpaopWlapVLBPzTwMIfFWZ1hHd7c3Lx69WpmZgb4TZ+enn78+HFiYsLhcOSjD6C+AUu6nz9/vry8LC4uBmVZ+iYajY6OjvJ4vO7ubovFMjMz09DQgP4Znp6eisXimpoas9kM/5QYhmHpm3g8Xl1dXVZWVvVtgB+sOjs7UygU+fSfRQMcEgTR2tqadS7Imv/XTHwYfUPTNGstFqgHlv9NaWkpfNMFOFD/m+Xl5ZKSkqx/xgRB9PX1GY1G6Bywvb3d2toKmX5X31AUJRQKWY8t4JkIn7kPom92d3d7c4S2tjbUnAg6f3NzMzs7m0gkJBIJeMYRBBH8K9TW1qL6JpFIAHuP2+12Op3n5+f7+/srKyszMzNGo9FiseSpb4LB4MDAgD5HQA1akPDR0VFXV1dnttDe3s5yFYSlckXcbvctWhaWWltbg8aAO+ibiYmJrC++ufSNy+X68mjLegeCLmXunwJbhMrLy8GUeX5+XlFRAfufGUH1DUVRWq2WtaeUYRihUIgadVpaWsbGxg4PD4EzGU3TIpHo4uLi89cPF2U2AVL0er1IJLrl6XZxcVFSUsKyfq2srKA7im/XN0D9Q4eJzJ5cXFzU1tb29PQAb31UBG9vb7958yazSP4pNE0PDQ11dHSgc8N3iyeTyZcvX0IXh6z5e3p6WK9qFEVxOBxY6nZ9Q1GUTqe7ZaYnSbK3t1cqlWq12vavARrhwEdoHmpSAW5YqJ9i1vGCxKz6JpVK/etf/wJPSIqipqamNBqN1+sFfyPn5+d8Ph/W2d7eDu2OMBFGbtc3LpfrzZs36HQOC4IIqm8oihIIBKyHOVjPQp9dVVVVeeobj8djNBo/I+HVq1cKhWJychJd4GN1CR6i+iYajTY1NXV3d0NTFkvfAI89+He3u7vL0jfAmff4+Bj45sNWWPomlUpJpVLUBRvmBJH76xuVSnXLCyeruV/z8GH0Ddgzgmr5rPpGKBRCXypg5ywrK4MWRZfL9ezZM2DcY8GKRCISiQSKG/AlElTf2O12uVzOKsXyL+7r60PdjcGCdE1NDXy4PIi+IUkylSOMj4/DNXjYVbvdDmZEdL0fntXr9dBkyjCM1Wot/RoqKyu5XG59fX1HR8fY2Nj6+jrYUZmnvkmlUo4cQaPRoNcI9oQkScSz/JvoycnJd/2LYT0gkqe++eJGAP2L76BvHA4H6h4O+5BL3zQ2NgoEAqioYH4YyapvDg4OoE96JBIpLi7O6vQDKkH1DcMwMzMzrPv25ubm6dOnqOY+ODhobm42GAzQCWNwcNBisRQXF+cyB4Jdcn/++ecte+BJkvzw4QPaVWCFRXfU365votFobW0tvECQEowYjUawVy6RSLBu7+vr6//5n/9BN1fCUnlGDAZDbW1tnsYJtM7FxUWJRJLLl4JhmLW1NYVCgU5sXzwP3r17B0d6u74BThW32Br9fn97e3ssFgO/PsLSZzKZrLe3F+3wnePJZJLH491yD6A1Z9U3TqfzH//4B1jETCaTrAmVpW9mZmZYXkdo/bfrmy/m4Xfv3qHWF7QswzCovmEYpre3t6GhAc2TTCY5HA463+evb8BsBXZogn8rKip2dnZuedVBm0b1DcMwGo3m3bt38LKi+iYQCDx9+hR9Zc2qb0Dll5eX1dXVsCGlUolKVZIku7q6sj6rQZF76pt4PF5XV4c6p8Ke/BdFCtM3xcXF0W8D/AHIQCBQWlo6PT0di8Vomr6+vjYajX/++Sf6CBsZGZFKpbFYjCTJy8tLtVpdWloK9Q3DMDqdTq1Wg33/qVTq9PQUrL/GYjGxWHxyckJRFJibFQoF6ijgcrl4PB7oDHxnZembcDhcWVm5sLCQTCZBDxUKBbod97v65ubmBrjl3u0Cs/xvQCV2u728vPxuFWaWylPfZBaEKVn9b+DZrJHv+t9klspT31RXV6OTSkGLF2COV6vVqIGBIIhYLBYKheRy+fb2NphjYPdsNtv29ja8f2A6jACrYSKRiMfjkUgE+N+UlJSgVsmlpSUOhwMs2zRNg69TwBqGhobQLSd+v7+6utpsNoNOBgKBtra29vZ29MEKTI81NTVwIIeHh1+2lb5+/Rqdg2ETMGIymerq6g4ODiKRCDAKLi0toQrbZDK1traCz2mkUqnt7e36+nr04Ts1NTUxMQEr9Hg86O8zUBQ1Pj7e0tLi8XgAtJubG7iWwTCMSqWam5uLRqNgImf1dmxsTCaTeTweMKPc3NxA17d0Or26uopqL9gHhmGSySQQN1dXV/BphL76b2xs3HKrUBQlkUj6+vo8Hg/Yruh0Ojs7O6FjZiQSEYvFS0tL4HkSCoW0Wi161QKBQE1NDXqfsC5rIBDgcDgLCwugVwRBXFxcQIXndrubmpo8Hk88Hk8kEslkEq0K+D1sbm6C/KlU6vLyEq5C+v1+k8mEvulBMslksre3F1xumqYJglhcXKytrYXt3tzcWCwWtC1YFqxpVlRUXF1dJRKJWCwWCAQODw+bmpoGBgZAtnQ63dLSsrm5SRAE+HCRTqdDPRaur68FAsH6+jrgFolEDg4OYM9v1zcMw6ysrMhksqurK/BDBJFI5OrqCv4haLVaVPaFQqHKykqz2Yw+zA0GA1QVmetTBEFsbW3l6eDF8r8BvziWa7Jn6Zu9vT30JQHVN9Fo9Pnz5+CD9alUymazNTc3Q/uN1+tdX18PhULgGq2urtbV1cFrBFYwwKcXARa73Q62CADI4HtLMH+mvolEIvPz89BlG+YEf1Pt7e02m+3LHi6apqPR6OTkpFKphK8BBEEsLS3d4XUCbeXHxwvTN0+ePOF8G7RaLURgt9uFQiGfz29qampubl5ZWSktLUX1TTweb2xsBB5VarXabrfLZDJU30SjUb1ez+VyxWJxXV2dVCoF+oaiqPn5+crKysbGRolEAgzIGo0G8komkx0dHTweTyKRQIM/S9+A/Y0KhUIgEEgkEh6PNzw8DO2EoCqWSxrL/2ZlZQXszYbtFhTB+gbiuoO+gWXzjxAE0d3djVr7V1ZWuFwuh8N58eJFaWkpl8uFXhH5VPtFEr18+ZL3NdTW1oLvJFmtVnTOIElyaWlJJBI1NjbKZLK6urrR0VH4mF5bW2MZeC4vL8E9KZVK+Xz+4OAgOlWDXrW1taH7kq6vr8vKym55VwalSJJcXV1taGjgcrkikYjP52s0GtQ+mkgkxsbGOByOWCwWiUT19fU2mw0dy9bWVk1NDdQK4XC4oaEB9XeJxWKTk5NcLlcikYAnNfSkZhhmZ2envLycw+EAYiKRyGAwQPMYQRATExO1tbXgcVFXV7e4uAhAgVeR4uJi+GxBr87c3NyTJ09KS0t5PB58GjU1NcE87969QycYmA4jNzc3wL9eIBDU1tbW1dXNzMzAmZim6cvLy+bmZoFA0NTUxOPxWGbUVColFotbWlrgbJp5WZ1OZ2tra21tbUtLS319vVKphIbYZDLZ0tJSU1PD5XJ5PB6fz5dKpVBdgX1JTU1NQqFQJpOJRCKdTgfdwDc2Nv75z39CHws4ImCBANteOByORCIRCoXgq5gwz87OztOnTyF/mA4iFEX95z//qa6uBl1qbGxUKpUWiwWOkabp3d3dqqqqurq6pqYmjUYzOzsrEAhgPTRNn56eikQi8IAVCoVDQ0OQ6nf1TTqdNplMfD4fPOQFAsH8/DxsfX19vaysDJ1Nzs/Pv/swR9engLnx9uVjOBaWvjk9Pf3HP/4x++32FJiZpW8oikKlPKpvgMkW7JMQi8UDAwObm5tQ34RCIYPBACY+mUxWX1+PPrvOzs44HI5UKtVoNOCtj6Kow8PDhoYGkUikVCrr6up0Oh38+83UN3a7/fnz55kehGAtZXt7G0yLEomEz+erVCpUCYVCoSdPnrB8niCBXzZSgL7JZwzALuJyueADnVWKJEmn0wlfyllnwSFJksCNn3U2FovZ7fZcf580TYMtRfACs4rDw3A4nPXDkTBDrghN036/P9fQcpWC6TMzM+grCEj/sq70+vXrtznCx48fc73FwmrRyNbW1u1PdjRz1vjg4GCmk1DWnDDx4uJCLpd/FzvMDzZwsczL6FkYf/v27Zs3b3KweYtOpbAIK7K9vd3Y2HjnS8aqLf9Dmqavrq4uLi7QJx0o7na7M1+DwuHw6ekpfNXOv6F8csZiscvLy1wXiKZpp9OZ1SQAPvmP6q14PI6+kIDWgTnW7XajTdA0rdFodnd30+k0MHcBR2xoDwBlgZhglWUYJhAIvHv3Lqu++e6Qw+FwrqcEWpamabfbfcuzKBqNXlxcwCkWLUsQBDAnw8SslxX8CgrrJcrhcHxZwkin08lkMh6PX19fj4yMPHv2DF0oB9bH8/NzqA9gQ9PT09D9HCaikVAodHJygtrhwFlgw0Nz3iGeSqXOz8+h3spaQzgcdjgcWbllzc9KdLvdWWeQ6+trqBFhkYIe5sDgAcsWFHE6nXceEauhSCRit9tz/bGDj7y7XC70rwnUEI/HbTYb+vcI0m9ubk5OTvK558HaK6s/8JCmafBx6swmGIZ52N9bhY0+auSB9c2j9vW/vXK32505N1AUFbs1FPRHFQgE4Nv23XA5nU5UtudTSTQaPTg4KEhDgJ9A/27lt4KJZUqHzArT6bRMJit0RJn14JRCCdjt9traWtbdOz09fYtjCmwilUoZjUaWEoJn/9sjOp0OdaQAqwPFxcW3eJ/AIft8voaGhjwXWWApHGEYJp1OG43GXDaYvwMi8Lt7/+0uwwVdKaxvCsKFM//3EYhGo7lelf77BvPf02PgOI+aLlKpVEtLSz6fXDs8PDSZTJmmi/+e0d/W0+7u7unpafR9wGq1VlZWftdYRRBEf3//2dlZ5pv9be3hc18JOByO8fHxv+2jgKbp+fn5nZ2dv9XNg/UN/uvHBDCBRyHQ09Mjk8nAl6/NZjP4hEw+Vjd07n+Unv3USj0eT319PfC92NzcHB0dbWxszNPs+nuTeezL8jen9zccPtY3j/03hevHBP6mBAiCOD09tVgsCwsLGxsbWZ0q/p5oQqHQ9va22WxeWlra399HrVx/TyB41JjAYxDA+uYxqOI6MQFMABPABDABTOBnEsD65mfSx21jApgAJoAJYAKYwGMQwPrmMajiOjEBTAATwAQwAUzgZxLA+uZn0sdtYwKYACaACWACmMBjEMD65jGo4joxAUwAE8AEMAFM4GcSwPrmZ9LHbWMCmAAmgAlgApjAYxDA+uYxqOI6MQFMABPABDABTOBnEvg99Y3dbs/nM2I/EzxuGxPABDABTAATwAQejcDvqW+6u7t3dnYeDRquGBPABDABTAATwAR+aQIF6BuKolJfw6//Ex7gF3p/19+v+aVvKNw5TAATwAQwAUzgFyBQgL7Z29vj/xXkcrnRaPT5fA87BJIkH0SUJBKJ1tbWB+/eww4W14YJYAKYACaACWACj0SgAH2zuLhYXFwci8VCodDe3l5XV9fz588tFgtJkg/VOavV2t/f/yC1mUym8fHxB6kKV4IJYAKYACaACWAC/10ECtM3paWl6PCOjo54PN7+/j6aeJ/4xsbGQ+kbm81WV1d3n87gspgAJoAJYAKYACbwX0rgXvqGYZiFhQWxWMwavNvt1uv1ra2tJpMpGo2yzjIMEw6Hh4eH5XL5xMREMBhkGCadTm9tbbW2tgqFwqmpqfn5eZAOygYCgcHBQYVCMT09HQ6H0QrT6fTCwgJFUTs7O1KpdG1tDZz1er2vXr1KJBJoZhzHBDABTAATwAQwgb8DgfvqG5fLVVxcDJeoSJI0m82fPn0aGBgwm80qlaq+vt7r9UKUNE1vbW2VlpZ2dXVZLBadTieXy2maTiQSMzMzdXV1HA5nYGBgdHTU7/czDENR1NraWklJSW9v7/LyskajEQqFHo8HVhiJRF69erWxsaFUKufm5o6Pj8GpRCLx+vVrl8sFc+IIJoAJYAKYACaACfxNCNxX3wSDwYqKCigjnE6nQCC4uLgA+EiSHB4elslkFEWBlKurq6qqqoODA5qmgXwJhUKQ9fT0NGt9yul0VlVVnZycgPwEQUxNTZWXl8fjcVAK6Bu1Wh2JRGA9IFJRUQHlDusUPsQEMAFMABPABDCB35jAffVNIpHgcrnwYzOjo6ODg4NAiwBqoVDo7du3DocDHM7Pz3d2duYCmqlvZmdne3p60PwkSb548WJjYwMkAn2TVcfU1tY+oG8Q2gccxwQwAUwAE8AEMIFfmcB99c3NzU15eTlcMFKpVEtLS6wBV1VVLS4ugsTe3t4vC1isDPAwU9/09PQsLy/DDCDS3Nw8NjYG4kDfuN1uVh6SJN+/f39+fs5Kx4eYACaACWACmAAm8NsTuK++uby8LC4uhstPCoViZWWFRY3P58/OzoLErq6u1dVVVgZ4mKlvOjs719fXYQYQUSqVQ0NDIJ5L3wSDwZcvX97c3LDK4kNMABPABDABTAAT+O0J3FffTE9Py+VyiMlgMExOTsJDhmFSqdT79++Pjo5A4vj4uNFoRDOg8Ux9Mz4+Pjw8jOahKKqsrAwadXLpG4fDwdrNjlaC45gAJoAJYAKYACbwGxO4u76hKGp7e5vL5aK+L1artbGxMZlMAmQ0Ta+vr9fU1MB92oeHh1wuF/UFhnuvGIZZXFzs7OxEUzLzW63Wly9fXl9fgyZy6ZuNjY2urq7f+MrhoWECmAAmgAlgAphALgKF6ZuioiKn0+lwOBYWFuRy+du3b3d2dlA5kkql2tvba2trfT4fSZJ7e3vl5eWHh4eweYIgNBpNVVWVw+GgadrhcDQ3N0O543Q6uVxuOBwmCAL8yhVJkp2dndXV1U6nk6Ioq9VaXl6+ubkJK8yqb0iS1Gq1JycnMBuOYAKYACaACWACmMDfh0AB+mZ3d5fzNXC5XJVKNT09DXUJyosgCKPRyOFwqqqqRCKR1WpFt1MxDEPT9NTUFIfDqampEQgE8It8DMMQBDEwMFBZWSkQCKBZiKZpk8nE5XKrq6uFQuHe3h7aXDweF4vF4GM5MD0QCCgUiqyfFoR5cAQTwAQwAUwAE8AEflcCBeibghCk0+lIJMJSNmgN6XQ6FApBx2R4iqKocDgM17NgejqdDofDmflhBjQyNzc3NjaWZ2a0II5jApgAJoAJYAKYwG9A4LH0zc9FMzg4yPoZh5/bH9w6JoAJYAKYACaACfxIAr+nvvmRBHFbmAAmgAlgApgAJvCrEcD65le7Irg/mAAmgAlgApgAJnBfAljf3JcgLo8JYAKYACaACWACvxoBrG9+tSuC+4MJYAKYACaACWAC9yWA9c19CeLymAAmgAlgApgAJvCrEcD65le7Irg/mAAmgAlgApgAJnBfAljf3JcgLo8JYAKYACaACWACvxoBrG9+tSuC+4MJYAKYACaACWAC9yWA9c19CeLymAAmgAlgApgAJvCrEcD65le7Irg/mAAmgAlgApgAJnBfAljf3JcgLo8JYAKYACaACWACvxoBrG9+tSvyWP1Jp9OxWKyg2qPRaEG/UUrTdDwev+VHVfNpPRaLEQSRT86fmCcWi91zmD+x87hpTAATwAT+DgQeUd/QNN3b23tzc/N34HiHMc7MzJyent5S0Ov1Tk9PkyR5S578T21vb8vl8qz54/H4xcXF9fU1a86uqalxuVxZi2RNDIfDnZ2dqVQq69k8ExUKxfHxMStzMpmM5w75IDo/P9/e3mZVCw4TicTa2lo+lYD8BEFoNJpIJJK1NpyICWACmAAm8CsQKEDfXF9fr2aEs7OzXMOgafqPP/64uLjIleEB02mazrQ0rK2t6fX6ZDL5UA3RNL2zs8NicHBwAOp3Op1qtdrn8+XZnFAoXFhYuCXz0dGRUCjM05jh9Xp7enq6vwaVStXS0gLi3d3d6XSaYZi1tTWRSMRqzuVydXR0NDY2dnd3q1SqhoaG5eVlqHI+fPiQefkSiYTVah0eHu7p6RkZGdnb24OCJhgMtrS03A58f39/4q8wMDAwPj4OjmBD9fX1VquV1c/u7u7aHOHVq1eLi4us/JmHJpNJrVZnpjMMEwqFmpub4ShgHq/Xu7CwYDQaV1dX0Z+jJwhCKpWGQiGYE0cwAUwAE8AEfjUCBeibxcXFV69eTX4b9vf3cw3pR+qbQCAwPz/P6sny8nJfX188Hmel3/mQJMnq6mqDwYAyWFlZARU6HA6VSuXxePKs/2H1TTKZdLlczq9heHhYo9GAuNPpBMovq77RarUrKytQGvr9fplMdn19DYaQqW+SyaRWq+3s7Nzd3T07O9vd3e3u7tZoNMD4kY++cblc+1/Dzs7OH3/8sbKyAg4DgQBoNKu+uQWpWq1eXl6+JQM4ZTKZuFzuQrYwMTGRqW9OT095PN7c3Nz+/v7o6KharYYCCOub79LGGTABTAAT+OkECtM3paWl+ff4R+qby8vL9vb2/Pt2t5wkSdbV1eWvYG5v5WH1DdrW0NBQR0cHVC3gVFZ9I5fLvV4vWra3txeu42TqG6vV2traiuanKKqqqmp9fZ1hmHz0DSwbi8WeP3+eae4qVN8olUrQOqw5a8RkMtXU1ExlC0NDQyx9QxBEc3Oz3W4HVVEU1dvbu7a2Bg6BvgkGg9DQlbVFnIgJYAKYACbwEwk8sL5JpVJ2u317e9vhcKTT6WfPnsF1B4Zhrq6uWC6ubrcbvhYDCgRBXF5e7u3tHR8fR6NRFE0ymQSnDg9j9jycAAAgAElEQVQPUe+HQCCwuroqFosdXwNsIhaLsSZvhmHC4fDx8fHu7u7l5SVaOYh7PB6SJKPRqM1m29/fZ82+t+sbkiSdTifLjSOdTl9eXu7s7NhsNtZIs+qbYDB4eHi4t7fn8/lsNptQKASrS5ldzZVCkiSXyxWLxSiiXOtTRqNxeHjY5/PF4/FIJLK7uyuTyaDFK1PfLC8vz8zMsJoeHx8fGhoqVN/s7e09e/ZsZ2eHYZhoNDo7Ozv6NXz8+DFzfQptcWJiAmagKEokEkEhgmZjxQtan3K5XEqlEq3h+PiYy+WCFIIgKioqWltbOzo69vb20Gw4jglgApgAJvCLEHhIfRMOh2UyWWNjo8FgaGlp6ezsfPnyJapvhEIhtA2A8YvFYqfTCVmk0+ne3l6RSKTT6VQqVVVVlcPhYBiGpmmbzSYSiRQKRV9fn0KhaG5uDgaDoODMzIxYLP7w4UPb13B+fg7SNzY2WMaGy8vLhoYGpVLZ29srFAq7uroSiQRsnWEYmUy2vr4uEAg6OztbW1srKyvRufN2fXNzc8PhcFBHDYqi9Hq9VCodGBhoaWlpampCnTYy9c3JyYlAIGhra+vv7xeLxd3d3ai+8fl8MpksqyxDh7C2tsbn8/V6vdlsZqVn+t/EYrHFxUWNRiOTyVpbWz9//oxer0x9s7GxMTg4iFbLMEx7ezsQPfnbbwiCkMvlY2NjnZ2d6a/h8vLy7GvgcDhQvrAaAocKhQKuRUYikcrKynwkoMlkEgqFW9mC2Wxm2W9sNpvBYEBbj0QiL168AL5QBEE0NTU5nc5wOMzSrGgRHMcEMAFMABP4iQQK0zefPn0KIQG+6DMMk06nBQKBSqUC7qUURS0sLLD8i0tKSlZXV9HRVlVVQTlC0/To6KhYLIaa4/DwEAqCo6MjmJNhGLVabbFYYFWnp6cKhQIegsjy8nJ9fT1M/NLbT58+zc/Pg2WFWCxWW1ur1+vRdZxXr17V1dVBD9nPnz/39PTADCRJikSiy8vL5F8hnU7DRQq/3//u3TvYYZqmJycnW1tbQW00Tff393d2dsLaWPrG6/U+ffoUuvfGYjG5XI7qm729vXfv3rEEIhwdiJyfn/P5fK/X6/f7uVzu8vIynIBZ61MURf01iGQikYjH49FoNBwOB4PBQCAAVFqmvrm+vq6trT0+Po7H4wRBJBKJnZ2dd+/egV1yeeobmqbX1tZaW1vT6XRnZ+fc3BwqUFjrUyRJpr4NMpnMZDKBtGQy6fP5UqkUeiFYTMChzWbrzh3MZjNqeAMO1Gg9FEU9f/4cDBP736BkcBwTwAQwgV+TQGH65tmzZxokmEwmOKrt7e3y8nJ0RSnT/+Z2fePz+V6/fo3aS2DlmZGVlZXu7m6Yno++GRoaamhoQKfSUCgkEAjQNazS0lJ0R5jL5ULf7EmSLC8vl0qlqr/CwMAANNiw9I3f73/+/Lnb7YadTKVSIpHI7/eDFFTfUBTV0dGhVCqhWmIYhrV/iqIol8uF9h/WDNbdpqam2tvboce31+sdGBjQarXAdZelbzweT19fX29vb19fX09Pj1wu7+zs7O/v//z58/Dw8MbGBk3TmfqGYRi73d7e3t7V1aXT6YBgADa2PNenIpHI1NSUTCYDZPx+f09Pj06ng+KVpW+2t7d7vw0cDkcikXyb1mswGFC1jZK5Qzyr/ebly5cAPtY3d0CKi2ACmAAm8IMJFKZviouL0a+QQNsAwzBjY2NarRbtfaH6ZnV19ePHj+gEj9YG4qlUam9v7/PnzxwORyaTwQzf1Tc0TQuFQriuAQrSNC2TyVBFVVVVhX7xxefzSSQSaE8iSVIgENhstuBfIRwOQ3sMS99sbm6WlpYGg0HE4PW/+5DhAhCqb2KxGJ/PPzk5gSPK1Dfoqcy4y+WamZlhfV6PJMnLy0swK7P0DUmS4a8hEomEQiGNRnNwcJBIJNLpNEmS4Cpk1TfAVheJRILBYCQSQfXWd+03yWSytbVVrVaHQiF4oQmCODk5OTo6AoNi6ZtEIoECzBUPh8OwQhacq6ur9/mFvr4+UPby8rKtrQ2t5+TkpLKyEqQQBMHlckdHR00mE9R2aGYcxwQwAUwAE/jpBArTN7n2T1EU1dfXNzk5iY6nUH0zNjYmFArRGtB4MBj8/PmzRCLp6+tbW1ubnJxEPUC/q2+SyWRVVRXLsYOmabVajbqIsvTN9fU1S9/csn+KpW9MJtOzZ8/qvg0tLS1w+xWqbwKBQEVFBWr9KlTfAFYEQeRSALd84I6iqO7ubmC48vv9arUaeDK9ePECqjH0WuSKf1ffMAwDNDFYdcpaD0vfwDwURQUCgfPzc5vNdnR0dHp6enl5mc93hGma/naBKxWJRORyOVjYQk/BTw2lUim5XH54eAg0E0EQfX19S0tLoDMEQXA4nIGBgdHR0du/0Ag7jyOYACaACWACP5jAw+gbhmGGh4f1ej3a+0x9U1paijrNMAyD+t9YLJbi4uKsb+HpdFqr1U5OTsI9Qdvb26jv8Hf1DU3TIpEo034jl8vRKeoB9c3W1tb79+9RIKw4qm8ikQiXy2X5DrPWp1jFsx5eXl5qtdqsfiZKpVKn07FKRaPRubk5iqIMBgOQMl8cTSKRCDDtvH//HtU3qVTK4/G43W6Xy3VxcXF6erqzs7O4uDg+Pt7f3z85OZmPvgEdcDgc09PTrM6Aw6z6JhQK9fT0dHR0jI6Ozs7Ozs/Pz8zM6PV6lUq1tbWVtR5WotfrhZa5ZDLZ0tIC/dNZOcGh3W7n8XjT09MHBwefP39ub2+HZjy8PpWVGE7EBDABTOCXIvBg+mZxcbGqqgpVJxRFsfyLRSLRDLK7OJ1Ol5aWQscLt9vN2k8OSUUiEYlEAl13GYbZ2tpC9Y3dbs/88QGWf7FerxcKhWgPk8lkTU0NNKgAvQVnQYZh7mO/8fv9//73v1F9AIcDIqi+IUlSIpEMDAygeQ4PD/P/fjFaMGuctT4F8vh8PtQFm1Wwo6MDegsxDOP1ej9+/Pjp06fS0tLq6mqhUKhWq0dGRtbX1y8vL1OpVP76xmq1dnZ2spoDhzc3N+i6J0js6ekZHx/PzO/z+UpKSli6MDMbwzATExNw+SmVSimVytv1DcMwiUTCYDA0NjbOzs5Cl3OGYbC+yUoYJ2ICmAAm8EsRKEzfFBcXgzd7+C9cIAgGgxUVFaOjo5FIhKZpt9ttMBj+/PNPdIKfmJhoamqKRCIEQdjtdo1GU15eDvUNwzAGg0GpVH6ZR2maTiaTVqsVuKTEYjGxWHx4eEiSZDKZPD4+lkqlqKBxuVw8Hi8Wi1EUBTfCsPRNJBKpqamZmZlJJBIURbndbolEMjg4CPM/rL4Bc6pUKr26ugI/H+Hz+VB3DTBxwrthf3//1atXe3t7BEGk0+nDw8OmpiZ0/1QwGJyYmEAFByybT+QO+iafatE8D6Jv0AphvLW1NZeI0Wg0qGiGRVgRVN9QFGW321HPIVbm2w+xvrmdDz6LCWACmMCvQKAwffPvf/+75NugVqvhq63L5aqrqysvL+fz+Q0NDVtbW2VlZai+SSaTEomkvLycx+OpVCqn0ymXy1F9E4/HjUZjRUUFj8erqakB4gB8/2ZpaamkpITL5QoEgp6enrm5OY1GAwmmUqnu7u6ysjKBQAB/jYilb8AHBpVKZWVlpUAgqKqqmp6eZm26ecD1KfCiPzMzU1NTw+fza2treTzeFx9qaEAaHR2tqKiA0zZFURsbGxUVFTU1NVwut729Hdhv4DRstVqfPn2a53IMJAMj/9X6BvziBOtiMQyzv79fVVWF7oCD42VFUH3DOlXoIdY3hRLD+TEBTAAT+PEECtA3+XSOpulAIOB2u+EszipFUdTV1RX8sSHWWXAIdv3AfdcwTywWczgcUE7BdBChadrn87ndbrihiZUBHkYikYuLC+hMCtMfKULTtMvlAkYpVhMej4c1Z4OxQzcjVn6v1/vd0bGKwMPNzc2mpiZ4CCKBQKCurq40RygrK2N5LLGKsw5DoZBKpcpcXWJlYxjGZrNVVlbmaLa0ubmZVSSdTo+OjpaVlSkUCr1ePzQ0pNPpamtr6+vr0e9DskqhhwsLCx8/fszVYmNj4+33JFoVQRCtra2Z9yeaB8cxAUwAE8AEfi6BB9Y3P3cwuPVbCASDQdSTGuQE64Donn9WvCAVmE6nz87O8lFgFEWBjwqymgOH0JOXNZxUKuV0Om0228HBwdnZmc/nyyWjWQWBLS1rW7DF/Kuiafr8/LwgMpn9wSmYACaACWACj0oA65tHxYsrxwQwAUwAE8AEMIGfQADrm58AHTeJCWACmAAmgAlgAo9KAOubR8WLK8cEMAFMABPABDCBn0AA65ufAB03iQlgApgAJoAJYAKPSgDrm0fFiyvHBDABTAATwAQwgZ9AAOubnwAdN4kJYAKYACaACWACj0oA65tHxYsrxwQwAUwAE8AEMIGfQADrm58AHTeJCWACmAAmgAlgAo9KAOubR8WLK8cEMAFMABPABDCBn0AA65ufAB03iQlgApgAJoAJYAKPSgDrm0fFiyu/FwGaps/Ozu5VBS78MwhEIhGXy/UzWsZtYgKYACbwfwR+dX1DkiS+Vo9KIBAI3NzcZG2C/iugZ8EvgOb/a02gLKgJrSefuN/vV6lU+eS8Jc9fg8j+/y0Fv3uKpmmPx5PrB19zFb+5ucn/tzxzVXL/9Ow4kNSsTdA0TVFU5tVPp9PHx8cw3ePxcDgc/MeblSFOxAQwgR9DoAB9Q1FUMiM89q8MajSaUCj0Y1jk2UoymfR6vbl+AzLPSn5YtmAweHR0dJgRTk9PwWxkMBiMRiOrP8lkcmdnZ2pqanJycmpqanNzMxaLgTyBQOD58+cFTeo0TS8tLV1eXrJa+e7h3Nzc5OQkzEbTdDAYdOcOmb/pHY1GBwYGjDnC+Pj49fU1rD9rxGq1Ln0blpeXwT1JkmR7e3suC1MsFnO5XJk/BW80Gg0GQ9a2WIk0TWf9+6Ioyu12n+YO+egnm82m1+tzgDGurq5CsQJ7dXl5OTU1NTg4aDQaFxcXUdo+n+8f//gHKmjUavX4+DgsiyOYACaACfxgAgXom62trbKMMDAw8Kg95vP5fr//UZvIv/J0Ot3d3V1eXl5WVlZRUaHValOpVP7F758T/Ox2QfU4HA6j0Tj0NdTW1srlchCfnp4GP/SdVd8MDQ319fU5HI6rq6uLiwtwCPLfQd8QBKHRaFZWVgrqOcMwDQ0NFxcXsFQ6ndZqtW1tbe3Zglgs1uv1MDOI+Hy+58+fX+YILpfru0Lt+Ph4DQmrq6vPnz8Hiy+59A1N02tra9XV1VKplMPhzM7Oor3KR98QBHF6eqrVahUKRTqdRouD30K3WCyGHEEsFo+OjrKKZB5OT0/L5fIcYC4zZZ/dbudyuWtray6XC9xUtbW1UL1l6pvr62sejxeNRjObximYACaACfwAAgXom8XFxU+fPkW+Dd+dHu45hl9H31xdXVVUVKjV6qurK5qmr6+vW1tbOzo60HfWew72u8Wvr6/b29szJ7zvFgQZ1Gr1wsICK3NWfVNfXx8MBmHOWCwmlUpBu3fQNzc3N3w+XyKRFCQHj4+PJRIJEFWgJ6lUSq1W51pNW1lZUavVsM8gAvQNK/E+h06n8+nTpwAF0DcnJyesJZvz83ORSARsPOFwuLq62mw2Q3NIPvrGZrPV19dXVVVVV1cXBI1hmImJiXzsQ9PT011dXXmiIEmyvLx8Z2cHzd/T0wOta5n6hmGY7u7ug4MDtAiOYwKYACbwwwgUpm9KS0t/WM9AQ7+IvonH483NzSMjI6i2oCgq11z7SJS8Xm9bWxvah4IaKisry7S3Zeobmqbr6upQs1kkEmlubgYTbaH6JhAIyOXy2dlZ7deQ/wt9b2/vxMQEOsCfrm8IgtDr9ZAh0DdSqbS7u3t1dRV2VaVSra+vw8Pr62uFQgEHno++AWW9Xq9YLP4V9M3Nzc379+9ZUv74+Fir1QIBmlXfmM1mk8kEOeAIJoAJYAI/ksBD6hvgl3B9fT0wMKBSqY6OjhiGoSjq4OCgtbW1q6srHo+jY7u6utrf30+lUmazWS6X63Q6p9OJZmAYJlPfJJPJiYkJmUzW1dV1enoK8xMEMTIywvI8CIVCm5ubMA9FUfv7+0qlUqFQ7O7uwnQYsVqt4OzW1hZqOTg6OuLxeGgKLIJGCIJYWVmRSqUqlSrzzfXg4ODw8BDNv729fXV1BVPOz8/Pzs4IgjCbzTKZTKvVoi4OR0dHBoOhvLzcaDSOjIyg7izQNgCryoxcXV29ePFCqVTCiRbkydQ3DMNMT0/X19cfHBz4fD5gRzEajaCVgvSN1WotLy83m80kSRIE8fnz57q6usy1j8zeMgxTXl6+tbWFnrqzvsnwPvq/hKOjI7jCgjaUK261WiUSCZzmgb7Z39+PRCLQkEmS5MePH9ELR5JkV1eX2+0G1d5f35AkOT8/r8kRampq8rTfcDickRwBNTgxDJNOpz98+MDaEjUzMwM9t7Lqm4ODg87OzlwwcTomgAlgAo9K4CH1DYfD+fz5s0qlmpmZmZ6eLi0t3draGh0d7ezsXF5e7ujoePv2Lfrct1gslZWVLS0t/f39Kysrnz9/Li0t3djYQGdrlr7xeDyNjY0ajWZ5eXlycpLD4UxMTMD5RiKRwGkYUFtaWoI+GQRBGAwGqVS6vLxssViampoMBgOULIlEoqenRywWLy8vA40yNjYG0U9NTcG3dpjIikQiEblcLpPJlpeXZ2dnRSKRVqtF3ZB1Ol1PTw9aqqWlBfVKmZqaUigUKpWqv79/eXlZrVYLhUJIbHt7u6enp7S01Gg0jo6OQn0zNzdXVFSE6iS0CRCPxWIKhcJisRiNxsnJSdQkkFXfUBRls9kGBgY6OjoMBsPBwQEElY++SSaTZrNZrVbLZLKTkxPYH4Ig1tbWBAJBd3d3Vn0Jc6ZSqTdv3rD07h30TTQaNRgM3TmCTqdD/Xtg65mRSCSysLAgkUhQSZ3V/8bj8ZSWlkJcQOL39PQ4HA5Q7f31TSqVkkqla2trezmC1+vNHAIrxeVyzf0VvjhjFRUVTU5O/pUwx/ozZBhmaWmpsbHx6OjI7/d7PJ6VlRUOhwMVT1Z9c3Z21tbWhv45s/qADzEBTAATeDwChembly9fjiGB9XrN4XBaWlrgko3JZHr79u3q6irQH6lUqqSkZGlpCQ7GYrF8+vQJnWD29vbq6+vhVp1M+41arR4ZGYFPTI/HU1dXd35+Duq8urqqq6tD38iVSiWcR81mM3o2HA4XFRWB6Yqm6YWFBYVCAZsOBAJcLtfj8YCau7q6Mj1X4EDAHNbV1aVQKKCNKhgM1tTUzM7Owt5+V99MTk7y+Xw4qZMk2dDQAMxgcIDQDwa2fnJyotfrb9lllkwmOzs7BwcHKYoKh8NdXV1qtdrn84EaWPomGAyenp6enJwcHx8fHBzs7OwsLy+DXTNarXZ9fT1PfXN4eOhwOFAhBTucSCTA1h+YkhkJhUKvX79mFb+DvsmsudCUYDA4MzMjFov7+vogNFBJVn3jcrnKy8vhRQf3Rm9vL7xLH0rfsOxwhY4LzZ9MJrlc7u0V0jS9v78/ODio1Wp7enrGx8dRSZ1V31xdXanVahQF2iiOYwKYACbwqAQK0zfPnz8fQMIXgYJ2jsPhoPLl9PT0+fPnUDEwDKNSqYaGhmARi8UiEAjgIcMw8XhcJBKh6xeo/SYWixUVFbHeTUdHR7u7u2ElUqnUbreDw1gsVllZCfxkCYKoqak5OjpCPvBB9/b2Tk1NMQyTTCalUqnb7UbPqlQqqGlkMhnqUQGbgxGfz1dUVAS1HUg/OztrbGyEJpx89I1Op4N1MgzT0dGBisirq6tMfYPmz4x/WQF8+/btwsICalHY39+vqqoCUoylb7a3t+vr6xsbGyVfw4cPH7q6uubm5sBaFUmS+egbKr9wy8x3c3Pz9u1bVoZUKqVUKsvKyir/CqWlpRUVFeDow4cPrNWQ+fn5njxCX18fvEYsgF98h4uKijo6Olh3HcgGFp6gcAGJqVSqqKgIylyGYUiS7O7uhqaOh9I3wWCQyBGgRZM1HHCYSCTa2trkSJBKpa9evZJIJEja/0bn5uZYNYDv32Re3lAo1NrayrpeHo8H6xsWQHyICWACP4xAYfrmdv9ilr5xOp0sfaPT6eBqEcMwmfommUyKxWK48sKy3xwcHFRVVUFHB8BodXVVJBJBXjMzM1BCjY+Pd3R0gFOBQKCkpGRgYGAYCWKxGKw6RSIRoVCo1+uRk8O1tbWDg4OguE6nY+3yhS2CyMnJSUVFBSsxlUoJBAIoeu6gb7Ra7cbGBqz2DvrG4/GwrA6gtkQiAWaj+fn5LzvjYBNoJJVKqVQqUDwQCGxsbKyvr8/NzX33+zejo6OsD6vo9frPnz+zEjOnT9h6PB5//fo1qnQZhqFpOhqNBpAgEokuLi5gAiqmGYax2+1beYTt7e1cLtsEQSSTSafTCXeTOZ1O2KuLiwu73Z4pJhoaGlBHK7A4CGu4v75Jp9Ng0Q2IN61WKxaLgVkFpHwxnbJMXxAs0FsnJye2PAJL1ZEkub6+jv6NwPjQ0JBOp2Ppm4uLC5VKxUpEe4LjmAAmgAk8HoFH1DdfPm52B33T0NCA2r1R+83Ozk51dTVrKlpfX+fz+RCQ0+nk8XjAm7WsrMxms4FT19fXxcXFNpvt/NsAZp1IJFJfX2+1Wr89eQ7nJJPJ1NvbC6rK+u/x8XFVVRXrVDqd/un6BnTJ5/Pt5Qjr6+uooESHgOobv9+/tra2urpqMpm+q2+urq5cSLi4uFAoFCsrK0ja/0azCi/QgS92gqKiokwfbbR7NE2LxWLon4Seetj4wMAAtKINDAxAOTg2NgYtfGiLOzs7SqUS3KgURbW3t4PFQZDn/vqGpul4PB76K7jd7qamJrfb/VdCKBaL5akq/H7/9PS0TqdTKpXt7e1Go9Fms+UqS9N0IBBgXURwaLVaWd/3YxjGZrNl7thHQeE4JoAJYAKPR+DX0jeRSEQkEkGDB8t+A2ww6L5lmqanpqagkQb4Okil0pWVldPT0+rqavikTiaT1dXVx8fHWVEmEgmJRILqKlY2UNst78Rut/vDhw/oqgTDMB6PB3Un0uv1rC+OyOVy1L94cnKStT51f/sNGMj+/n4OF9vuqqoquAsGjvr8/Lynp4cgiKmpKZZnD9gqfAsKWAmMgHUcuG4I02+PKJXKWww8wJzzXX3zxafk06dPLLvO7e1mngXrmGAiV6vV8/PzIE9HR0fWT/Sm0+mBgQGpVDo2NiaXy1taWlCj4/31DauHsVhMLpez7j1WnsxDkiTHxsZqa2tHR0etVuvFxYXNZltaWpJKpfX19XC3F6tgLBa7yRbsdnumvllZWcnnS4OsJvAhJoAJYAIPQuAn6xsul4t+gd5sNisUCnQyQO03NE03NTWZzWY48ng8LpFIrFYrTGEYxmq1crnc0dFR1rc3hoeHGxoasnpaUBQ1NjamVCoz1xpAzcDzo6OjA50pSZJcW1sD7szpdFomk/X19UE3F4IgJBLJ8PAwTDGbzWKxGI73y8aiT58+FaRvgGDK1BZor1AU+cRZ/jegyOnpqUajyVo8nU7v7OzAQWXNw0q8m76xWCyoco3FYtffBp/PJxQKz87Ovk2+hoQZholEIi9evLgPH4ZhdDpdS0sL2EnN5/OBvkkmk8XFxZ2dnSyDIhh7Op0+Ozvb2Ng4OTlh3VT31DfJZDL8bfB4PE1NTR6P59vkMKtd1kXZ29sTCARZrV/Ly8s9PT3w3QAWJAiit7dXr9eDT2Cj/xoMhubmZtZdMTg4iH6dAdaDI5gAJoAJ/AAChemboqIi+7fB7XbDhxrL/yaf9an/9//+X1tb2xdn0lQqNT09/fLlS5aJpb6+Hl3F+PJbP58+fVpbWyMIwu/319XVaTQa1gRD03RNTU1lZSVq6QFfta+trW1tbQ2FQjRNu91umUwG33pjsVhVVZVMJgPWo6urq+7ubvQRHw6H+Xy+SCSyWq3JZPLw8FAgECiVSiiYgGHDaDSm0+lwONza2lpSUgLrZxgmkUi8f/9+c3OToqilpaWmpia1Wl2QvgmFQnw+H/h8QBU4PT396dMnuOuq0JumUH1TaP3A4aOrq6tQ+w1BEDweD37QyGQyVWaEkpKSjLRKuBP7ofRNf3//+vo6/TX09fUBfdPf3w82E8E10DzJfFff0DTt9XovLi62t7f5fP7p6enFxQUUIoODg+8ywosXLzLS3rEcn1ndA59IYCWCw/Pz8/b2dvh3DfMAEe/z+XK4NRMwJ7joPB4P+iqhp3AcE8AEMIEfQKAAfXNwcNCYEQwGAzQn9Pb2om6Vfr+fZZlfWFhAN1hZLBYej2exWOrr6wUCgUKhgHtM4MjBj/nBQ4Zhzs7OpFKpQCCoq6sbGRmB0zyaZ3Z2trGxMfNUMpk0Go0ikai+vr6pqWlpaQl91ycIYnBwsK6urqGhQSKRLC8vo/oGLH6Nj4+LxWIulyuRSCYnJ9HiDMPc3Nx0dnYKhUKRSGQwGFjCi2GYzc3Nuro6gUDQ29sbCoVWVlZQPbe1tcXy55ifn0e/H0PT9MbGhlAorKurgyRXV1clEgnLFRSlcXs8l75pamrayRH29vZYi1a3N3E3+w3DMAaDgbVH7/aGMs8C+83KykqOoezkMwH39vaOjIyAPe1KpdJkMoEvFaXT6fPz87q6uq2tLdadkNkTmPJdfQPMJKw/tbW1NVjDg0QSiYRcLjcajcfHxy6Xy+v1ut3us7Oz1dXV5ubm7e3tzFaAvtna2jrJEdA3iomJCY1Gw/oLyqwTp2ACmAAm8EgECtA3D94DuH+KJMlcHpEkSWbKFLCTPFM9wB4ODg6Oj4/neramUqloNJr5egqKp1KpSCRyi22foqhoNB78M94AACAASURBVJorA/D9zNpnWP89l0uSyWQ8Hoejo2ka2pAggfwjWfdPhcPhpaWl+RzBbDbnIwtgHyiKmp6ezuXSAbNlRs7OztDN/5kZvpuSTqeXl5cXcodMSZ1Z5+bm5tDQ0OjXMDAwcHR0ZDab4ddifD6f2WyGKj+zOCsFgGUl/pTDaDS6s7MzOjo6NDTU398PdheCX3rP+tdBUZTFYhkbGxvPEeC3miKRSHV1Nfx81E8ZHW4UE8AE/uYEfgl987DXwO/3Z3769mGbwLX9GAIkSd7uYvxjuoFbKZSA2+2+p+Gt0BZxfkwAE8AEWAR+K31zdna2vr4ukUjGxsageYM1YHyICWACmAAmgAlgAr89gZ+pb2w2G/wW34OAnp+f1+l0u7u7+TtDPEi7uBJMABPABDABTAAT+KUI/Ex980uBwJ3BBDABTAATwAQwgd+GANY3v82lxAPBBDABTAATwAQwgf8jgPUNvhUwAUwAE8AEMAFM4HcjgPXN73ZF8XgwAUwAE8AEMAFMAOsbfA9gApgAJoAJYAKYwO9GAOub3+2K4vFgApgAJoAJYAKYANY3+B7ABDABTAATwAQwgd+NANY3v9sVxePBBDABTAATwAQwAaxv8D1QMAGapgv9giJJkgV9UfoOTRQ8jMcpQBBEQSN9nF7gWjEBTAAT+LsT+NX1ze7u7i2/VfnbXz2SJPf29uBPOf4i443H49PT01klDkEQga8BPUtR1NLSUkG/cO7xeAYHBx91vCRJBoNBr9cbiUSy/pzk3VofGhq6urq6veza2tp9fhL19srxWUwAE8AEMAGGYQrQN+l0OpgR4vH4o3IUCAR+v/9Rm8incoqiIpFIZs5kMpn/D0dnFv9uSjKZFIlEDofjuzkfNkNPT093tgB6EgqFFApF5sDNZnNpaSn/aygtLV1aWgK9Ikmyu7v79PQ0s5PRaHR1dfXz588LCwso4ZOTEz6fn5n/QVIikYhWq33+/HlJSQmXy/3w4UNRUdHU1FSu34RHG93f3+/v70dTxsfH19fXYQqPxzs8PISHWSN1dXW/wl2dtW84ERPABDCB34NAAfpmcXHxP//5T/23YWJi4lFB8Pn8X2Em8Hg8JSUlw8PDrKWHsbExk8n0eASSyaRAIPjx+mZra2vza+js7JTL5SC+ubl5c3PDMExWfWMymRobGwOBAKDh9/tFIpHZbGYYJpe+2draEovFBoPBbDYbjUahUDg5OZlOpxmGyVPfbG9vy3IEiURSWloai8VYV+f8/JzH401NTaHS3Ov19vb2NjU1wf6zSsHD5eXlpqYmeMgwTEdHx/T0NEzJ1DcOh2Pv21BRUbG4uIimFWTcgm3hCCaACWACmEAuAoXpm5KSEuLbkM8rb66280n/dfRNU1NTcXGx3W5Hu/276hs4xqmpqY6ODngIIln1jVgsttlsaE673a5UKmmazqpvvF5vWVnZxcUFlIyRSKS1tfXk5CR/fUOSZDJHuL6+fvv2LUvf0DQtkUjm5+dho7DDJEn29PR8V63eQd9Yrda5b8PU1NTs7Cya9uMlLBw4jmACmAAm8FsSKEzflJaW3kIhnU7TNE1RVDKZTCQSUPqQJJlIJJLJJGtSoSgKuJ2m02mQIdMNIlPf0DSdSqXi8XgymYRNgF6lUilWE5luqqAziUQCdRCBg8p11uPxKBSK3d3dlpYWdF2GpW8ymwNjhPWDyR6YNBKJBOwwHBSwXsD80H4DqMbjcVYGmDOdTsfj8UQiwWJIkiT1NSS+BhYfWDxrhKIonU5XWlrKqjOrvtHr9d3d3alUCjSXSqW6u7uHh4dz2W+WlpZaWlpY7S4uLs7MzOSvb1jF0cNgMPj27VuWmwtBEBwOJ+tKGcMw8/PzRqPxdkTLy8vPnj2rQcLLly/1ev3lX6GioiLX+lQ6nY7FYuFw2OPxhEKhWCyW9SZER4HjmAAmgAlgAncj8JD6RqvVnp6ezszMdHV1KZVKrVabSCQuLi4MBoNGo2lsbJyZmUEnj4ODg6GhodXVVa1Wq1ar5XK5Xq8PhULoSFj6Jp1Or66utrS0tH0NWq3W4/GA/BRFtbS0HBwcoMUdDsf4+DhMcblcvb296q9Bq9W63W54imGYy8tL0BONRqPT6VAvUY/HI5FIKIpqa2vb3d2FpVj6JhgMDg4OohLEarWiixder3d6evrq6kqv16vV6ra2tuXlZYqiVldXdTqdXC5XKpVou0DfWK3W0dHRzs5O5dewvb2NYmQYZn9/v7OzU61Wq1SqwcFB1B95YWHh5ORkeXm5paVFpVIBcZZKpVZXV1nDh4OCEb/fr1Qq6+vrFxYW0Baz6ptEItHf39/X1zf2NfT19fX39wN5kdV+s7KyIpFIYFsgMjs7Oz8//yD65vr6+t27d6gYBU2YTKampia3242OiCRJm80mFAqPj49ZXWIdLi8vi0QiPxKUSqVIJNL/Fd68eZOpb2ia3tvb6+zs7Orq0ul0/f39Op2uo6Ojp6fn7OyM1QQ+xAQwAUwAE7g/gYfUNxwOh8vlLiws3NzcBAIBmUymUCg6OjocDkc4HLbZbE+ePEHXdywWyx9//NHb2+vz+cLh8PX1tUwm0+v1qFWGpW92dnYEAoHL5QqHwzc3N+Pj41KpFDpSjI6OajQa1NhgNBrhikMkEikvL19ZWQl/DUtLS8XFxXD+83g8ZWVlGxsb8Cw6+3o8nvr6eoZh9vb2hEIhbIKlb7xeb3NzM7rha2lpqbOzE14nh8NRXV0tFArPz8/D4bDdbq+tre3s7BwaGvL7/eFweGhoqLW1FeYH+qa4uHh1dTUYDIbD4a2trdevX4NFHJDt5OSkqqrq+Pg4Go3e3Nzo9Xq0hv7+/tbW1r6+Pr/fD7Xj9fV1cXHx7RuUEomEWCyen58PBoO1tbWoqsuqbxiGoSgK7Ejyer2hUAhSyqpvIpFISUnJ0dERHGwqlWpoaAArNXn638CyDMNEIhHUe8blcr1//x69l0BmgiDMZjOXy1WpVJOTk4uLiyMjI2KxuK6uzmq1wj6jNaPxO6xPMQxzfn4O/KgSiQTQVTRNJxKJ3d3dyspK9IZB28JxTAATwAQwgTsTKEzf/PHHHwokTE5Oog1zOJzBwUH4Wry9vf3HH3+4XC6YRyQSTU1NwUOLxfJl9wo6AwWDQR6PB6dhhmFQfUNRFJfL3d7ehjWkUimZTAZ3r6RSKYFAcH19DTJQFFVfXw8UFU3T3d3dPT09sCxN0zweb21tDUzMer0e9ZUmCKK2thbOvh6PRyQSgaUWhUIxNDQEJsI76JuamhooyAiCaGtra29vh72y2+3FxcXwENpvYArDMN3d3a2traADqVSKy+VubGzADF9W+t68eQONQP39/ZlmDIqiTk9PYTdgWRChKMrhcLS0tPT19YFWXC6XVCqdmpoKh8NZ/YtXVlZmZmamp6cnJiaGhoZ0Ol13d7dKpZJKpW1tbVn1DTDSCIXCoaGh5eXl8fHx6upqk8kEWryDvpmbm0Ol5M7OTkVFBWto8DCZTO7t7ZlMppGRkYWFBbvdjt6HMFtmZHl5ua6u7gYJSqUSNdFl+hczDGOxWPr6+jJroyiqpqYG3maZGXAKJoAJYAKYwN0IFKZv3r9/f4IE1gIHh8OBW4IZhnE4HM+fP0cdPDs7OwcGBmBHLRaLQCCAhwzDJBKJ+vp6dC8Jqm+8Xm9JSUkwGESLmEwm1FzR1dW1ubkJMtjtdoFAAF6O4/F4ZWXl+fl5HAkDAwMjIyMMw8TjcalU6nQ6kZPxjo4OqHigvmEYxufzgaoYhrmDvhGLxbD/NE3rdDpU83k8nnfv3kG3DOh/A4swDHN6esrj8QDYy8vL8vLySCSC9lwkEu3s7IAi/f39er0eLf7deDqd7uvrYy2yRKNRs9kMPIgz7TcHBwebm5tbW1vb29tarbahoeH8/Bx8WoYgiFz6hmGYm5ubnZ2dpaWlzc1N9Ha6v76Znp5GLXAMwySTSUSW3BZFVxhZuKxWa3Nzcx8SwP4ymC2rvgG3otPphNlAxGazVVRUoBvjWRnwISaACWACmMDdCBSmb273L2bpG5fLxdI3Op0OnWsz9U0qlWpubkbdP1F9s7a2VlNTw3rP3t7erqqqgoPf2tpSqVTgUK1Wj42NgbjH4ykqKnr69OkfSPjPf/4D9FYoFCorK2OdffLkyefPn2FxYL8BhxaLpb29nSTJ8fFxuP7FMEw+61OovmEYpqenB9U3Pp/v/fv3cNUsq74JBoMVFRVgq/be3t6ff/6JjOn/otCm1d/fPzQ0BLqd/78syLAgMM6lUqnt7e1ceRYWFtra2kCRvr4+oVD4RWW+efMGvaywwlyR++sbrVaLimmGYcxm88evoaio6M8//3z//j04/Pjx48uXL1+/fg0PURshq4fAhZz4NkCbJcMwWfUNTdPb29tFRUVSqXRmZmZlZWVqaqqpqamsrAz737AI40NMABPABB6EwK+lb4D9xufzwbGh+ubk5KSiooK1qmKxWBobG2H+YDDI4XACgcCXj9IWFRXBb+cEg8HS0lKwvAIzw0g0Gm1qakLXxeApEEHtNwzDxGIxqVRqt9tNXwPM7PV6JRIJ6k6R6X9zf31zfHzM5/OB6y5wvoEdyIzcTd8wDHN1dTWaIwwPD5vNZmhkgo06HI5QKLS0tAS3lAcCAbfb7XK5lEolqm9IkoxGo5FIJBwOB4NBkM3hcNhstr29vd3d3aOjo0K/78dan7Lb7XCRDvYQRNLptFKpRG+z8fFx8KkeVs5ch06nM9eiUlZ9A+pJpVIHBwezs7MfP36cmJg4PDyEQjZXQzgdE8AEMAFM4G4Efi194/f7+Xw+qjNQffNlh/nHjx/RL4VQFNXf3w+tLAzD0DRtMBj0ev3W1ha6/ZgkSaFQODs7mxUTmPC2traynmUYhqVvaJre2Njg8/nz8/Oo/eb6+rqpqQndkzw/Pw8ne7Bmd39909XV1dbWBmwGgUCgqKjo8vIyV8/vrG9isdh5jrC/vy+XyzPnZpVKtb29HQqF0JUm4N40MTGBrs64XK7W1laJRNLc3Ax2jXV1dQ0MDExMTJjN5r29vfvrm1xAGIa5v76xWCzoXYe2tbS0BFU1mo7GRSIR9BJD03EcE8AEMAFM4KEIFKZvSkpKyG8D8AYFvbnD+lRFRUUwGKS/hlQqpdFo9Ho9WmdtbS06WxgMhi8Os8A9gqIot9vN5/PBSg0kEggE3r1719nZub+/DxMZhrFarR8+fPB6vUAZUBQVj8fhysLW1lZxcTHoDJiSUZnC0jdASDU0NIhEIlTfhEKh2tpan88HvnPj9/tLS0s1Gg3shsPhuIO+MZvNcMhnZ2fPnj07Pz+HdRqNRpFIFIvFwFjAJ3zg2az6BqBD7Uwwfz6RTP8bUEqpVELnp3zquSXPd9en4vF4+7dBIBBUVFR8m/a/R6jzL/M1PKq+AU3Af2OxmCcjcLncw8NDVnKmXoSV4AgmgAlgAphAoQQK0zd//vlnx7dhamoKOmPeQd+8ffu2o6NDr9cPDw83NzerVCp0iy/DMI2NjajPcjAY1Gg0SqVyeHi4v79fJBKtrKygegiMv62trbq6OnM1CvicGgyGycnJvr6+trY2KGIIgpiYmGhoaDAYDNPT0319fd3d3VD9ZOobhmH8fv+bN29QfQM8cng83tDQUH9/f0dHx+joKLpp6276BnRmZGSkr6+voaGBtZKSSqX6+vpkMpnRaJyYmOju7jYYDLDnWfUNEF6jo6OF3i4g/6+gbwiCOMovoHYj0P8fqW+Oj48RX+TbovBLTne7KLgUJoAJYAKYAEqgAH0Tj8ddGcHv98Op9Pr6GnWOIQjii1cvKj7Ap2Vg8xaLpba2NhKJnJ6erq+vO53OzFdYl8vF+up/Mpm8urra2Ng4Ojq6ublB64c1r6+vazSaTAcRiqICgcDBwcHKygr4Ag3sPDDJ+P1+q9VqsVjOz8/RXS0kSaJmJNiQ3+9HN4gxDJNKpRwOx9ra2sXFBfjIMiqz0uk0S8CFw2G0BpIkoYUJdomiKJ/Pt7W1tb+/HwgE0D6DnhAE4fV6wY9GgV1gsIfhcBgdCEgnSfL4+BjtGMyfTySXvpFKpUVFRVU5QtYN0rma+679JlfBfNIfRN+8f/8+x0CrChppPh3Gef4/e+/ZkEiy/32/3f+ePefs7KSdnXGcMYxZARMooiQFzBGMKGIAFcwBc5YgOTfdXdcc6966a7sBcWactFUPtLq64qebrm//KjQhQAgQAoTAQwk8QN88NOt74/PXT92bJJcINE1LpdKlpaVcIpM4n0AgkUjY7Xb++qloNBrI7HAZd2+hXq8XbmR8b8xPiMAwzNraGl6f4+Pji4uL3LOiKCoYDAYyODzn3PMkMQkBQoAQIAS+IIGfTd+wLGu1WsvKyvhGiy9IjWRFCBAChAAhQAgQAt8zgZ9K34yNjdXV1b19+5ZMZfie7zlSN0KAECAECAFC4LEJfEt94/F48K8afX5T9/f3V1ZW8OXln58nyYEQIAQIAUKAECAEfjgC31Lf/HCwSIUJAUKAECAECAFC4IcgQPTND3GZSCUJAUKAECAECAFC4AEEiL55ACwSlRAgBAgBQoAQIAR+CAJE3/wQl4lUkhAgBAgBQoAQIAQeQIDomwfAIlEJAUKAECAECAFC4IcgQPTND3GZSCUJAUKAECAECAFC4AEEiL55ACwSlRAgBAgBQoAQIAR+CAJE3/wQl4lUkhAgBAgBQoAQIAQeQIDomwfAIlEJAULgZyLg9XrJXuc/0wUlbSEEcAJE3+A0/hF+lmUjkUgwGMQ/9v6ztpyiqL29Pf4X12F76TvHORsMBm9ubh4E5OLiIh6P55KEZdm0X7z3+/0PLTSX4lCc09NTzhfZYrHY8fExipCLh2GYy8tL/ndVc0kL48Risd3dXX78VCpFZXWca8TP4RNCGIbp7+/f39//hLQkSe4EWJaNx+OPcQVzr8N3HpOiqEQi8Z1X8kes3gP0DU3TcZ5LpVJfpNmBQODy8vKLZPWjZBKLxZxOZyAQ+PxffiqVOjs7SyaTubR9Z2dHIBDI5fKpqalc4j8oTiqVOjg4+Gof0KZp+vDwcDOdu729BQD4fL5nz57xu2SPx2M0GvV3bmRkZHd3F93Ji4uLSqUybavdbrfD4Tg6OuJ8A0Qqld77+XGGYba2tvR6fX9//+TkJCf+3NxcZ2cnp9BwODw+Pm7I4CYmJjjxMx2yLKtWq/f29vAIJycnZWVleAgAIBqNHhwc7P3dXV9fw2iJREIsFme/uAzDeHkuFArBm/zy8rKgoIBTaDKZnJ6eHsCcUqns6elBAQaDwePxcFLd3NycZXbZKwmzur29bWtr4wtT+s5xisvlMJlMfv5vOZeCssdJJpMul4sjZ7MngWcTiURa8Q2VZy45pI0Tj8fVajVeH4/H86hqPm01OIGpVMrpdN7e3qZtMicyfphMJvlJaJrGH78sy+7v74dCITxhFv/CwkJPT0+WCLmfYhgGPcqyp2IYBq8zisyybNpwFOEH8jxA39jt9j95rru7+4u01mAwFBUVfZGsvqtMUqkU/wHKsuzi4uK7d+/y8vLevHlTWlr6oJfIZDLJydPj8RQUFCwvL9/bdoZhysrKxsbG4vH4578xUBTF+SWcnJy8efNmZmbm3pp8kQgURc3NzUGZMjAwkJ+fPzAwAA9PTk4y6ZtwOCyRSFZWVrxer9/vv76+bmtrW1lZgVVKq28ikYhKpSovL9fpdEqlsqKiYmlpCTXhXn3DMIxGoxGLxYeHhx6Px263V1RUHBwcoBzS6purq6uWlpbT09NznrPb7c+fP0fJ03pmZ2eL/nJPnz7Ny8uDR6WlpVtbW2n1jcfjMRgMg5irq6tDT95c9E0gEPjzzz9FIlEt5lpbW+HNllbfsCwbCoX8mMvLy1tdXUUBgUCA/8iuqalpaGhQpHNKpRJe/bRYUKDZbB4fH8cVid/vn5mZKS4u/vjzRNGgx2QytbW1ce52PA7DMLW1tT6fDw/8yv5kMtnb2/v+/fuysrLXr1+Pjo5SFJVjHRiGef369cbGBj++VCpF9wD/7L0h0WhUKBSiV4JUKqXRaEpLS+9N+EgRaJo2Go1v374tKysrKCiQSCRerzf3slpaWhwOBye+zWZrbm5GgS6X6+nTp7m/QI6NjUmlUpT8czxqtXpoaIivwPh5ulwuoVDIv6UvLy8bGxv58X/EkAfoG9glR/7uPr+PhNRub2+Pjo5+RILZ67y1tdXV1cWJs729XVlZCR/BsVhsdXW1sbHx6uqKEy3Toclk6uvrw8+mUqnd3V2O6MEjIH8kEsnLyzs7O0Mhn+OxWCwcKUNR1OrqKv6u9jn5PyhtMBgsKSmJRCJ4qrT2m+3t7f7+frxjOzk5aWlpgQn5+iaVSvX09PT19aHewuVyVVRU7OzswCT36pvd3d36+nrcjHR0dPTy5ctoNMreObPZzLffXF1daTQaPBVq2vX19YsXL9BhWg9N0xRFRSKRi4uLw8PDo6Mjp9MZj8cpimIYJq2+4eTDMExzc7Nard69cxsbGxUVFdlNIz6f7+XLlwgUzLCurg7enGn1DV4oRVEWi6WwsLC7uzv7s6W4uJjfzeBZZfezLCsUCnErGsMwY2NjYrH47du3RqORk7yjo6O6uhp10pyzAACGYQoLC6HVkH/2K4TQND00NNTd3Q0rGQwGRSIRUu33VoBhmN9++41vufT7/S9fvuzo6Lg3h0wROPoGAHB1dXV6epop/mOHb21ttbW1QU2TSqW6u7vb29v5AjpTNaqrqzc3NzlnFxYWqqqqUCDLsjabze/3o5Dsni+ib1iWXVlZefXqlVarzUXfUBQlFArn5+c5dbNarRqNhhP4gx4+TN8UFhb+oO38VtVeW1vT6XSc0isrK81mMx4YjUZz/4GNjY1x9A2eVXZ/KBR68+YN39qfPVWmsyaTiaNvMsX8CuFbW1tv377l2L3T6pv9/X2tVovrht3d3ba2NlhJvr7x+/1yuZwzXWljY0MgEECRdK++MZlMnCsOACgqKmpoaJDfufLycq1Wy6H0mfoGAOD3+zUazdDQkNlsnp2d7enpQdcrF33jdruFQuHs7Kz5zhmNxuLi4sfTN6FQaGBgQCaTuVyu3t5euVx+c3ODy1Ccz2fqG6/Xm5+fz9FhMP/u7m6+volEItl/Nd9c3zAMc3Nzg7dodXVVLpfj0LL4GYYpKSkpKyvjjKp0d3eLxWK++M6SFedUNBoViURZpCEn/mMfcqzOXq9XJBJxft1Z6pCLvsmSPO2pL6JvoD3GZDLlqG8AAJOTk1VVVZyfmFarXV9fT1vPHy7wS+qb+fn5QCDg9/tHRkaEQqFer0c4otHo/Pw8R1Te3t6azWYYeH19jYvicDi8vb0NADCZTAKB4PDwEGbFsuze3l5bW1ttbe3k5CTnwgAAbDYbRVFHR0dyubyhoYFjbo3FYh97QYZhVldXJRLJyMgIlNjRaHR4eFggEMzOzuLdHiw0HA53d3cLhcKenp5AIIAaBQBwOBwejyeRSIyOjgoEgv7+fvx3YrPZZDJZaWnp0J1Dv/Di4mK+asazTaVSW1tbKpVKIBDgj9pkMrm0tFRdXV1ZWTk0NKTX62F9ksmkxWLBFVI0Gh0aGqqpqZHL5efn5zBziqJGR0d///13rVY7NDSEWppMJs1mc+Od297e5lN1uVxarbaiokKv18PHXzwen5ubq62traurGxoaMhqN0GZDUdTU1BTHfgMDa2pqFAoFf07r1tbWxcVFNBqdnp6ura3VarV8kym/Sjgu6JdKpZWVlVarFT+VVt8kEgmZTKZUKk9PT51O5+LiYmlpKaoYX9/c3t62t7dzauV2uz+OMEKG9+qbhYWFyclJvGIAgDdv3hwcHMTunNFo5Ovgz9c3U1NTMzMziF48HkdGiFz0TV9fH3775TI+da/95o8//mi6c+jnwLKs0+kcHBz8888/p6enYW1Zlt3Y2MjPz1er1ScnJ+heRQw/U98sLS3hL9woWwBAWn2DR0jrv1ffJJPJoaGh6upqrVaLG2tpml5aWsJ/MldXVxaLBZVCUdTS0lJ2axaKjHuOj49ra2vxkCx+hmEEAoFarR4bG0PREonEf/7zH7PZzBffwWBQp9MJhcLBwUGOJIITuQYHB0UikVarPT8/r6urw5+ch4eH+Gyw6+trToe6vb2ND9n7/X6r1UrT9NbWVl1dXX9/P3xuRyKR8fFxoVCIVDuqee4en89XV1eHP7fR7yVtJjnqm8nJSY4xz+12q9XqysrKrq4u2CNsbW3BssbGxlpaWhKJhMViqaurU6lU2d8i0lasu7t7ampqdXU1d33j8/mePn3KWUJYW1vrdDpREYlEwmQyVVdXy+VyzhzZ09NTh8MRDAY1Gk1jY6PH44Fz6ThG9LOzs7W1NZTh1/R8SX1TUVHR29vb0dExMzNjt9sbGhqam5vhgymRSEgkkq2tLbxtKpVqYGAAhthsNtwmdnNz09bWptfre3p6lpaW4N3Msuzw8LBYLJ6fn19bW9NqtQKBALcwAwDg3aPRaJaXl+fm5kpLS3GJc3t7C3vQvr4+u93e19fX2Ni4vLysVCpnZ2dXVlaEQuH09DSqJHzICoXCqamp7e3tyclJsViM3w09PT06na6trc1oNMK3JbVajXSGzWZTKBSVlZUzdw5d9dnZWYFA4HA4OIIPlkvTdHt7u06nW1paWl1dbWpqkslkEGMymbTZbDU1NSKRaGZmxmw2w8diOBzGX0EoimpubtZqtZubm1arVSKRwCmiFEVNTEw8e/ZseHh4ZmYG5nl+ft7Y2Dg0NLS+vj4/P19dXY3fizRNT01NVVVVTUxMbG9vj4yMwOG2WCy2uLhYX18vlUpnZmasViv8QUYikT///BM3olxcXAgEAp1Ot7GxYTab6+rqBgcHYdGwvVqttrW1VaPRjI2NZNK5bQAAIABJREFUra6uqtXqkpIS/OddU1PT0tLCkRfoGsGhAbvdXldXd3193dLSgo++pdU3AIBkMrm2tjYyMjIwMDA9PY2/mvP1TSQS4fy2U6nU8PAwUiT36purqyso02HD4/H4xMREXV0d4pBp/o1IJIK2H/Pf3fDw8LNnz3AIfD/LsmNjY3Nzc+hUPB6vr6+HN/DJycmLFy90d44/ayQSiczMzLS2tno8Hsdfbmtrq7KyEr80KGfkuVff5Ofn7985ZGkIBAI9PT2bm5uoC1cqlbCSFEUdHBwMDQ3xh6I+U9+MjY2pVCpUbdzzGPpme3u7rKxsYGBgc3PTaDSKRCJ0XeDcLHzy3MDAwJs3bxAfr9crkUiy3P945XH/5uamQqFAIbu7u69fv86UD8Mw1dXVe3t7hYWF6ELYbDapVLq2toY/nBmGWV5erq6unpmZ2d7eHh0dbW5uxuXL0dFRdXV1b2/v2tra/Py8VCp99eoVHmFsbAw9+QEAdrtdrVajegIAOjs7h4eHUcjJyUlRUZFer+/t7d3Y2Ojv7xcIBHt7ezqdzmg0rqysCASCT5shFI/HjUZjZ2cnemj7fL5Xr15xuhVUEwBAjvrm1atXuIY7ODioqamxWCzHx8d9fX1v376dmpo6OjpC+qaqqqqrq2tkZGR9fb27u/v169foBQAvPZN/e3u7sbExGAza7XaOvmlubs4Cp76+Hp9tdnR0hN9sfr9fKpX29vbu7OwsLCyIRCJ83qHJZFIoFD09PVBXQY0oFos5PYhGo1ldXc1U80cNf5i+ef78ORSe8C9ncLeiokKhUKCr4vV6nz59ipQg1ICoMX6/Py8v7+NLMAzh65uCggKj0Yg6AADAxsZGSUkJ6opSqdTMzIxCocB/sfn5+TabDemG+fl5fAb07e1tYWGhw+GAdxXDMI2NjR0dHajOe3t7+DSxcDjc3NyM7B/QnoT/8LRabXt7O3r3gqZOpGMAAFartb29HbUaelKpFJz7KZVK0S2Ox7m9vUUNDwQCT58+xYWzTqfjjE9x9E0wGBQIBKhWiUQCvZHwx6cSiYTf74cRWJa1Wq0fPnxAlfnIKj8/Hw0TMAyDd29QJ6HIAACOvonH4w0NDWNjY/jD+uXLl/jtrtVqhUIhuhMSiURhYSGa2gIAWFhYgG9veEG4f319vbGxEVbS4XBUVlbOz8/DEvn65uLi4uDgwOFw7OzsbGxsLC8vz8zMQLGiVqsvLi74+oZl2dXV1bKysunp6cvLy6Ojo66uroaGBvTaeq++YVn24OCgubm5rq5OqVQKhcLOzk501wEA0uqbRCKxv7//98VM//8R/oKL08D9Lperqampvb19YWFhdna2tbV1cHAQXuuTk5Pi4mL/nUM3G0zr8Xiam5tVKlUwGIxGo2N/Ob1eX1BQgN8AeFnQf6++4a+fAgCg+xNm0tbWhp4b/CJgSHFxscVicWVw2SsJAOjp6RkfH0+b+RfXN36/v6qqanNzEz6XWJY9PT198eIFEuILCwv4QJJSqWxsbET27OPj4/b2ds41SltzTuDg4CBufvN4POPj46gj50SG+iYUCtXX18OOmaZptVp9fn6+traGz7+5vb2FL+swB4ZhDAYDDhO+gqJrent7W15ejt/tn6Bvnj17trGxASufTCarq6slEgnqC/b393/77TfcBsNpHf9wZ2ent7dXJBKNjY3hdYvH46Ojo7ga46QtKyuTSqX9f3f19fUccyBH38DbFTKhKKq+vh5/Bo6NjRUUFFxeXqIIBQUFHFM0pxr4odvtfv36NZzAytc3S0tLcDAET4L8NpsNn34kk8nQtGiGYVpaWgwGA7pnLi8v379/j3CZTKYnT55wTP7Ly8voxQ8AEA6Hm5qaUBJU7tfxPFjf4ItV7XY7XsuKigrcrAoAeP36NXoK+3y+f//73+ixBd8MUHK+vkGTG1AcoVA4OjqKDiG72tpa/F6sqanBX0YPDg7QvAoAwO3trVgsRvNwWZbVarU2mw3leXV1VVdXhw6Pj4/lcjlcEMjcuaOjo6amJhRBp9PhyaPRaF1dHer2MukbmDwQCGi12pcvXyoUCqQwUM4AALgg/6NMeffuHXrYAQDu1TfxeLyqquro6AhXfjBnvr5BJVIUFYvFdnZ2fv31V/QghsuRUByO5159AwdB0JMOJp+dnZXJZChQq9VyXi8kEkmOv+1YLNbR0dHY2IhfdIZhtFotHB7l65uRkRGpVCqTyeRyuVgsLiwsnJiYsNvtcIcYuLSNP8sSABAMBru6uqqrq+vr62dmZnC29+ob2HCWZQOBwPHxMb/3XVlZGRkZ4eD9UodHR0cCgaCvr8/pdLIsC9c/88enWJZ1uVwfZ1q8e/fOYrGgC4Sqkcv4VCAQ+OOPP/5atvX//c+yfury8rKb50pKSlQqFSeY84xWKpWVf7nCwsLnz5//dfS///feP52dnbilFrXxMcandnd3xWIxXgQAQKFQ9Pb2wsCPb1Dv3r2DvYjH42lra7NarWjC+9jYmMlk4iS/9zAWi1VWVqLn7b3xob6JRCJ2ux2KYK/Xq1KpGIbh6Jv19fXOzk74PIR/d3Z2UANDoVBZWRm0uMNC+fOLP0HfvHz5Em8C3EEAhYTD4V9++SX3xsK3poaGhvz8/I6ODtwkj/LM5CkvL5fL5Xg/aDAYJBJJFn0Ti8V+++03fFASrldARfDn37S2thoMBhQhi4eiqI6ODnQz8/VNlrQAgFAo1NDQAF+GY7EY3kff3Ny8evUK7hqALndNTQ2aLmIymfjr4Nxut0gkQnL85OREqVSi99vslfniZx+mb7LPL+brm4KCAvxFvLW1FQoUmqY7OzvxPpuvbxobG/EnLEVRb968wXMDAMAHLn5bc/TN0dFRa2srosbXN729vbhAcTqd+Ii1yWQqLy/vwZxCoSguLkYZcvRNLBarr6/HtWpa+w1KzrLszc1Nb29vVVUVvqAgkUjY7fbe3t7BO/fq1StcSt6rb1iWXV9fl0qlcrncZrPhPXFafeP3+81mc39//+DgoFqt/r//+z9ooE6lUm1tbWk3ZINNuFffbG5u4nIQpnI6nUKhEPXxfH3T1taWfX4SAkjT9MnJCTLX4eHwFxUOh6VSKT8CjHl+fo4GKfb39+fvnEqlSqtvUOZ8T476JplMondQTiaXl5e4NTsUCi0sLMBhzex/s1yd7e3t9fX1tbU1m80mFAq7u7vHx8f1er3BYLDZbAcHB5z9b2iatlgsc3NzSCyyLJtIJMLhMOx6KYrq6elBrwecJsBDuHtk5O8Obe/GXz8VCoXg4qx7/yILH79ch8Px0Eum1+v5c0pgzl/cfmO1Wvnzc+fn55uamuCdmUwmS0tLoYAbupsM7vf7//jjD/gbaWxsxLcS4DefHxKNRiUSicFgyHTn85MgfRMOh5VKZSQSgWNPLMty9I3BYIDjQei52NbWhnb3WFtbE4vFeH/2GPqG89D4uOXPL7/8ghu5+Q1MGxKPx+fn58ViMW50TxsTBX7a+BQ0KsNMksmkQCDARz/4+qajo2NwcBAVmsWzsbGhUqngokiGYWBPmkql8N4zS/JkMtnW1gZNiWtraxUVFSjhzs7Omzdv0FWGnuLiYjTlw2Qy4eYAWEoqlVKr1QsLC/BQp9Pl+DDPUslPPvVV9Q1UD7FYLBKJtLS04HaXe/VNMpn8888/OU/zRCLR2NiIq+8vq2/grE+Px3OLOfT0h6YUXB49VN/Ay8YwzOjoKLJh0DQtk8l0Op3L5fo43JNMJktKSh6kb6DBPxaLHR4e1tXVvX//HvUNfH1zfX39/v17k8nk9Xqj0ejp6em//vUvqG8oipLJZFmerffqm42NDf6+Dm63WyAQfBF9AwHC5fHr6dza2prVakW/WM7vBNc35+fnG3eus7PzoZ1ljvomFAql3VCOPz4Vi8W2t7fX/u6qq6v7+vr+HraGD55yWjc9PT0yMjI6OgpnGa+urp6fn9/e3vr9/mg0enx8zNE3+DiR3+8fHh4uvnOVlZXv37+HT2S0Ux+nLM6hz+dDYwf4Kb6+gWfj8Xg4s7t33OET9M3c3JxIJMLrhvxfXN9YLBb+JhGLi4v4K1x/f39HR8fH7a3fvn0Lf61CoXB3dzcYDBYUFOTe+0K7b19fn1QqxUUGal0mD9I3qVRKp9NdXV319/fD5y1H34zcOeyJ+D8veiouLS01NTWhEQ041xjf/wYA8Pn2G51Ohx6YcDrdp+mbj4MMFEW1tbXhD9hMiGD4p+kbp9MJ952KxWKDg4MNDQ04os/RN6WlpU+ePEE70z179uy///3vn3/+ic/oyt6iqakpvV7PsqxOp8NTbW1tlZaWci601+tFL8xp9Q0AYGdn5/Xr13D/wLdv3+IddPaafPGzX1XfAABaWlrOz88PDg40Gg1+ge/VNwCAmpoaziKUcDhc9/eZ+V9W3+zv78vl8iyPiU+z3/BfqjY2NtA42tzcnFAoxAstLS3Ff346nQ5ZtuENwZl/g98lDMN0dHTIZDJYKEffMAwjkUhmZ2dRkqurK6RvGIbp6+tDw7EoDvLcq2+Oj4+rqqrwCw0tw2jGNACA8yoGAMjdfgNrAqfrDqRzWq323//+NzKWoppPT09brdbb21s0zROd4owfwxGrubk5s9lsMpmMRqPBYIDz6GUymVQqjcfjueubpqam3d3dI57r6+vDB61RZXCPVCrFbwP8VBa/0+nEDYooJn98Cp1yuVwNDQ0zMzMoIcuy5+fn7e3tfX19mcQiSg6nqaW1rrvdbplMhsf8uI4slUpBk4AgnSsvL6+srORfQTyTT9A3H2fco+VveFaZxqdmZ2fVajWaeMtJkn3/m93dXY4Vk2XZ9vZ2vIc+OzsrKio6OTkpKSmBmc/OzhoMhvn5efRk4BfKD2EYxmKxNDQ0oE6IHydtCNI3cFS9t7e3rq4O6iqOvrHb7TqdLtNtcHV1VVNTgyb/5aJv1tbW8OlH8L0Rn+Z4cnLCGZ/6gvqGZdnOzs4sTzkOrk/TN4eHh2KxuKOjA64s5kj2z9E38GM7wb/c/Py8UqkMBAJ4D8JpAufw+Pi4oqIiEAg0NTXhqa6url69esWpKp42k75hGCY/P393d3dlZaW+vh5P8pX9X1vfGI3Gubk5hUKBmz3gum58iv7NzQ3+cgOhrK6ulpeX41af+fl5OD8GUfuy+iYYDNbV1WV5Rb5X39jtds5ekMfHx729vch6AWve19eHlmXCvhO1yOPxvH79Gu/YhoaGOI8Djr5JpVL4g9hqtdbX10ORwdE3cKYOaiDcluqXX35ByTc2NoqLi1E/B193UN0mJyeHhobwJ91HgxO+fioajdbW1uKzB0KhUF5eHv6WcK++oWka1QcVnaOHP/8GJhwdHeVvSANPBQIBfP0XAGB9fd1ut6+urq6vr29ubjocjrOzM7fbHQqF4OMgd33T2Ng4Pj5u5LmWlpZMwyWopZ+mbxQKRdqWBoNBfCkEKgUAYDQa0XA+Hh6NRsVicZbnHYpsMpnS6huWZfEHKIqfxXN9fc3RN9FolPNOubS01NzczAm8vb3NUhbDMOXl5ciuiVcgrf1meHi4sbGR87PFUzGZ9/fz+XxVVVVoJiLc4O7ly5doSwIojwQCQVdXF3oOeL1epVJZV1eH//bhhAm8XNwPN4Cora1Fn9TAzzIMk+V3hOsbn8+Xf7cVOEzO0Tcul0sgEHAWP6OCUqkUp7FOp7OgoAB/hnDsNw6HA9+Fxe12l5WVfaa+iUQi+HMJVQ/2Nbj8ikQitbW1aK43nPaQKe0nr5+qqqridHl4le7VN8lkMsvNjGfFn3/zcWoH5w0Tjw8f6R8+fDCbzRqNBm84RVESiWRwcJD/Qg5zyKRv4Jo4jUbDXzTNKfqxDx+mb/Ly8jhvntfX16jx986/AQAcHx/X19fDnVvxtuVivwEAwJUFwWAwmUxOTU09ffoUf0ZAGw+ylAIAPnP+DQBgcXHx999/39jYoGk6lUpNTU3hz6l79c3p6WleXp7L5UokEvCNKh6PC4XCkpISq9UaiUS8Xq9Wqy0sLET2/M3NzT/++OP4+BjO7KuoqCgoKMCfcUdHR8XFxV6vF21UxdE3ExMTNTU1cDT64/et8vPz0dsJR98AAFQqlUgk+jjeD60g5eXlaP4NHLCQyWQFBQVwweTu7u7HuZzIWu5wOKqrq6Gcgj8hjr4BAJydnf3+++9wKZzH4xEIBBKJBL/09+qbDx8+NDY2Znk047lx/J+gbzg55HKYu75pbW1NO38l7fopTtGfpm/kcnlafcPJHD+cm5vjGErh2XA4LBaLs5tSYMxM+gYvJUc/X99MTk6+zcG9e/cO/6nyi9Pr9TiZSCRydudaW1t7enrOzs6ur69z7FSgQMnLy7Pb7fgTEm38v7Ky8uuvv9psNpqmz8/PP3z4gHQMqtjw8PAff/yBdEMymZRIJL/99hteB6vV+uuvv3J2i4E5wHVMr1+/Pjs7Oz09RdVAddje3n769Gkmuw6ubwAAHs//9jKBOXP0DVTA//nPf3Z2dqBmMhgM+IJqk8n06tWro6Mj+HXboqKiFy9e4O+lHH0TDoeLioqGhoaSySTc6bupqelz9I3H4/n999/xNV8IMlw6JxAItra24O7eLS0tMpkMKQCv1/vkyRP0yocnhP5Ps9+o1WqRSLS/v391dXV9fY0LLDhgxxnHx+ffpFKpDx8+lJeX5/IM5Ouburo63HbAbxEAYHR09Pnz5/jPAUaLRCJv3rwZHh5OpVI0TW9vb6tUKqSBsugbAADsudIW99UCH6BvDg8P23hubGwM/Qz0ej3nGwv9/f2cN4l4PD40NMR/Ozw9PcXXXgUCgampKcQR4UgkEjMzM3B/MK1Wy3/9+nidUO8LAHC73fjgSzgcNhqN+PNiZWUF/1RNMBjkf7Zwf39fqVQ23zm0JSCsktVqxecFJ5PJyclJ/AWXpmk4fw0uBYep4ETOjo6O+vp6sVjc19eHnkEwgtlsFovFLS0tQ0NDXq/XbDbjrxcAgPHxcYlE0traCn+HiURiYmICtYthGLvdrlQq4UKhubk51CfF4/Genh781wV3LxSLxa2trbOzs36/X6VSoV87lDgLCwstLS0SiaS9vR2/xHBjw4aGBpVKBa9FIpHo6urCn2UAAJfLpdPpJBKJVCo1m82cy2q1WvGpdgAAs9mMT/rp7u7W6/WodehmyMWTRd+oVCprBofvxZJLKbnrG4lEsra2tsNznZ2djzQ+JZfLlUpl2oaurKzgLwOopX6/X6FQGAyGzc3Nk5MT+HmH5eVlrVY7MTHBuXwoFe4xmUwtLS1pC7VardllB54PAICvbzgRPvnw+voa312C/3zr7e3l3MlZymJZlvd0bFteXka4Tk9PVSoV/Nnie1igPC8uLvCNWBiGmZubw7t5AMDFxUVFRUVa21gymezv709bB1jE2dlZa2trpt8Ry7Kjo6Npe9CzszP84Qxz29nZUSgUzc3NUql0dHQUf6SkUqnFxcWWlha48fHFxcXMzAz+VNzc3MRf2AAAp6enMpmssbGxq6vr4uJiZ2cH30PF4/Fwfh2ch0YqlVIoFOhmjkajKpWqqqoK9U0IMjRXLC8vt7S0NDQ0NDU1GQwGvPKhUEgmk/F7FpTD6OgofyLzwcEB56J0dXWhvg/O0RYKhW1tbS0tLc3NzQKBoLKyEq2w2dzcxI3cAACLxYIWkMNLU1BQgK+kQfXheODFQncdAGBkZIQvXDipvF6vRqNBFcbP+ny+vr4+sVgslUq1Wi2+ocne3l7aFyGYnL8OBs/26/gfoG++ToVyKQUaDPBLmEuqz4nDsiz8cM+nZZLJupgpT7huJe2PE1YA1gdXIfyK5V5nGBNpIH5WcJJELBbjM2dZNhaLZa8JFEnxePzeaGmLhpaztKfuDYS7LyATI4p/c3Njy+x2dnaywEeZIM/w8HCWByKKBreZnk7nJiYmOLtfolTIMzo6ilZmosB7PScnJysrK2nbura2lqn/DoVCBwcHMzMzBoNhYGBgfHx8YWHh8vIyU+/IqYbb7U5bIgzEJTInIf/Q6/V2dXXxryA/5kND4MJafNXuQ3N4aHyGYWKxWPYf2r15ajSae1e/p82EZdlP+wGmzQ2arLL89uGwMv+JkSm3h8bPlA8M39zcbG1tzVI6TdOxWCzt/Zz74qPsdUBnr66u4Icv4O4MqVQqEolMT0/L5fIcb4ZQKFRaWppleBSVxffQNP35P5/EncvCk1+uUqnEX1P5Eb5CyA+pb74CF1IEIUAI/PQETk5OvvkjOHfIcHpcfX192iHO3PP56WPe3NxUV1entUZ8k7YvLS2JxWKOOLDb7d3d3bkoD7jcOMv0nW/SqOyFnp2d1dbW4oax7PEf6SzRN48ElmRLCBAChMCXJEDT9Obm5oMsi1+y+B8nr9PTUzSN6XuotcvlKi4unp2d9Xg8sVjM5XLNzc2JxWLOrINMVfV4PPgkikzRvpPw3d1dk8lUVlaGtsn5hhUj+uYbwidFEwKEACFACPz8BHw+X39/f1VVVUFBQWNjo9FozHErqR8OzdTU1MDAwM3NTS6mqcduHdE3j02Y5E8IEAKEACFACBACX5sA0TdfmzgpjxAgBAgBQoAQIAQemwDRN49NmORPCBAChAAhQAgQAl+bANE3X5s4KY8QIAQIAUKAECAEHpsA0TePTZjkTwgQAoQAIUAIEAJfmwDRN1+bOCmPECAECAFCgBAgBB6bANE3j02Y5E8IEAKEACFACBACX5sA0TdfmzgpjxAgBAgBQoAQIAQem8D3rm8WFxfxD7M9Ng6SPyFACBAChAAhQAj8BAS+sb5JJpNra2ucD3PgWIeHh7+HbZ7xKhE/IUAIEAKEACFACHznBB6gbxKJBP9rwyzLBoNBfCfm/f39sbGxHJsdDAZramrw5JyEDoejra2NE0gOCQFCgBAgBAgBQoAQyELgAfpmcXGxsLCQk1ckEikvL7+5uYHhLMtOTU1VVVXl+BG4e/VNLBarra11Op2ccskhIUAIEAKEACFACBACmQh8YX0DAEgkEqFQKFN5nPB79Q0AYHJycmBggJOQHBIChAAhQAgQAoQAIZCJwJfXN6lUKh6Pc8qLx+N+vz8QCITD4cido2kaAID0DU3ToVDI5/Px025vb5eWlmaZo8MpixwSAoQAIUAIEAKEwD+cwJfXNxsbG93d3TjW3d1duVzedeeEQqFSqezp6XG5XFDfCASCcDg8PDys1WplMllLS4vb7caTu93uFy9eRCIRPJD4CQFCgBAgBAgBQoAQyETgy+ububm5uro6VJ7T6czPzz85OUkmk4lEYnx8fGBgIBaLwTnFwWCwurq6qKhod3c3ducGBgZUKhVKDgCgafrly5cc0YNHIH5CgBAgBAgBQoAQIARwAg/TN0+ePGn5u5NIJE+fPkXziwEAHH1jtVrlcjkq8vLysra2Fh0Gg8Gqqqrr62sU4nA4CgoK0CH0fPjw4fLykhNIDgkBQoAQIAQIAUKAEEhL4GH6Ji8v7+Lvbn9/v7CwMIu+sVgs7e3tqOzr6+uamhp0iObfoJCLi4sXL16gQ+h5+/YtXgTnLDkkBAgBQoAQIAQIAUIAJ/AwfXPv+nC+/eb8/Dw/Pz8UCrF3bmlpSalUohrw9c3l5eWzZ89QBADAxynJz58/9/l8eCDxEwKEACFACBAChAAhkInAo+sblmVVKlV9ff3k5KTBYGhra8MtMbnom5OTk7y8PIqiMrWBhBMChAAhQAgQAoQAIYATeHR943Q66+rqbm5uzs7Ozs/POVvj5KJvlpaWZDIZXmniJwQIAUKAECAECAFCIAuBR9c3W1tbIpEoFotRFJVKpWiaxneyuVffMAyjUqlsNluWNpBThAAhQAgQAoQAIUAI4AQeXd+EQqHy8vLGxka5XK5QKFQqVV9fn8PhgJW4V9/c3NzU1taSwSn8mhE/IUAIEAKEACFACGQn8AB9Q1EUf5M9lmUjkQj+gUyKoqLRKCr18PCwvr7e5/O53W6n03l4eNjb2/vy5cuzszMAAMuyeGQAAMMw+BiW2WweHx9HuREPIUAIEAKEACFACBAC9xJ4gL65Ny9+BJqmdTodlDLoLMuyhYWFq6urKCSLp7+/H+50nCUOOUUIEAKEACFACBAChABO4HH1TSqVUqlUm5ubeJEnJyfv37/PcT9it9uNG4fwfIifECAECAFCgBAgBAiBtAQeV98AAHZ3d1+/fm0wGC4uLs7Pz0dHR9+/f39ycpK2NiSQECAECAFCgBAgBAiBzyfw6PoGAODxeEwmU39//9DQkNVqxafXfH4DSA6EACFACBAChAAhQAhwCHwNfcMpkhwSAoQAIUAIEAKEACHwqASIvnlUvCRzQoAQIAQIAUKAEPgGBIi++QbQSZGEACFACBAChAAh8KgEiL55VLwkc0KAECAECAFCgBD4BgSIvvkG0EmRhAAhQAgQAoQAIfCoBIi+eVS8JHNCgBAgBAgBQoAQ+AYEiL75BtBJkYQAIUAIEAKEACHwqASIvnlUvCRzQoAQIAQIAUKAEPgGBIi++QbQf7giI5HI1dXVD1ft77/CyWRyd3f3+68nqSEhQAgQAj8cge9d3zAMEwgEvu0nqKLRqMPhYFmWf3UZhkkmk6lUinP29PSU8110flo8JBKJnJ6e4iGf4D84OPB4PHhCmqY5FaNpGo/gcDhSqRQektZvNBotFkvaU58TGI/HY7HY5+TwfaaNxWLxeDyXulEUJRAILi8vc4lM4hAChAAhQAjkTuAT9U04HL64uLi9vc29pE+LGQ6HGxsbI5HIpyXPJVUikbBlcLDcs7MzgUDAEQoURa2urvb09AwMDPT19Y2NjeE0WltbOV9NhzVJJpOnp6dra2vHx8eJRAJV7+TkRK1Wo8N7PWazmd+DSqXShYUFPK3FYjk/P0chFEXNzc3hwqumpiYcDqMIaT3AbZ60AAAgAElEQVSBQKCqqsrr9aKzsVgsrSpKpVLJZJIDCqXie8xm88zMDD/8E0JYloVqKYa5eDyee2U+odBMSaanpxcXFzOd5YSvrq42NDSk5cmJSQ4JAUKAECAEcifwYH1zenpaVlb25MmT58+f//bbbzKZ7N4OMvfa8GMGAoGioqJHLSIajY7+5dra2urq6v46GvX7/QAAvr5hWXZiYqK5ufn29hZ2q8vLyxUVFcgakVbfeDyeqqoqkUjU29tbX19fXFx8fHwMm/xQfSMQCILBIAcXX99otdr19XUULR6Py+Vyt9ud+Mvlom/0en1vby/KhGXZJ0+e9Pb28o1qCoWirq4O108oVVqPwWAYHh5Oe+qhgbe3t3l5eU/+7goKCh5VGWeq5NDQ0NTUVKaznHCGYUQi0edb7zjZkkNCgBAgBP7hBB6mb5aXlysrK+fn5wOBAMuyPp9vZGRkbGzs8SB+BX2DV95qtfJ7XL6+iUajcrmco7pUKhV6a+frG5/PV1JSYrPZoCxgWdbhcFRUVFxfXwMAHqRvksnkhw8foLkomUx6vd7bO9fQ0MCx37S3t4+MjOz+5dbX10tKSmpra8V/uaqqKk4rcBoAgEQi8eHDB5/Ph8JZlv3ll1/EYjHnO6nBYPDFixcSiSR3SfEF9Y3H43n27Nn19XUUc7FY7JvYbx6kbwAAFovFaDQiwsRDCBAChAAh8PkEHqBvrq+vX716tbu7i7+4p1IpfJzl8yvEySEYDD62/QYvcWBgoKWlBQ9Ja7+BhhB8yi1FUWKxGBlL+PpmcXGxo6OD091OTk6aTKaH6puDg4Pnz59D28/V1VV3d7fmzuXl5XH0jVqt1ul08385k8nU0NAQCARQA++131xcXFRXV6P4AACWZaHd7vDwEA+fnp6Wy+Wtra3fUN9Aexteq2/if6i+uby81Gq1nKlR36TmpFBCgBAgBH4aArnqG5Zl2+7cvS1nGObw8FChUNTX1+v1es5ohd1uD4VCFxcXOp1OKBROTk4mk0k8T5Zlb29vu7q6RCJRZ2fn4eFhcXExx1SQTCYnJydra2vlcvn+/j4uGhwOh8fjcTqdLS0tra2tKOd4PI7LMhSOe2iaFggERUVFnOL49hsAwM7Ozrt370wm08XFxf7+vlwuV6lUKDe+vjEajePj4ygC9Njt9tHR0QfpG4ZhhEJhW1tbX18f3nAAQC7jU01NTVardesvV11dnd1+Y7PZZDIZXm2WZX///fexsbHOzk4UTlGUUCg8PT1tbm7G9Q1FUbu7u93d3SKRSKPRcPQH337DMMzOzg68eUZHRzn3BiqO74H2G07+eLRUKrW0tNTc3CyRSObn5/H5LgzDLC0txePx1dVVqVTa09Nzc3PDsmw4HDYYDCKRaHh4mCPiKYra3t7u7OwUiURarRaXjAAAvr6haXpra0sulzc0NIyPj1MUhdfN7XY3Nzfn3lg8LfETAoQAIUAIpCWQq76JRCLl5eUnJydpc0GBFEWNjY01NTXZ7fa9vb2RkRGFQoFLHIlEotFoOjs7V1ZW1tfX4eMeJWdZdm1traysbHx8fGdnZ2lpqa2t7enTp7jguLq6EgqFw8PDDofDbrdLpVK73Y5ygF2mQqGwWq3b29swPBgMvnz58ujoCEXjexKJRHd398DAgN1uFwqFLpcLxUmrbwAAfr9/cXFxbGzMaDTu7e3hXSZf3xweHlZUVOAdYTweb2lp2djYyF3f0DQ9Pz/f2Njo9/vlcrnRaMQ7Rb6+0Wg08/Pzvr+c0+mEvfXUX+5efWM2m/v7+xEKaL/5/fffHQ5HcXEx0kZnZ2cKhSIUCnHGp0wmU2dn59LS0s7Ojl6vr66uxmdh8/XNxMREW1vb2tra3t7e4OBgS0sLTgyvBsefXd9EIhGtVtve3r61tbW9va3VagcGBtD1omm6vLy8o6NjeHh4Y2NjcnKyqqrKbDar1eqFhYWNjQ2pVNrf34/sKyzLTk1NdXd3Ly8v7+zsDA8P19bW4tKKo28YhjEYDAqFYn19fXd3t7+/Xy6X47e03+9vbm7mSChOA8khIUAIEAKEwIMI5Kpv3G53QUEB3pumLebs7EwqlSJBQ9N0d3f36uoqiiwUCk0mE+paDg8Pm5qakB0iGo3W1NTs7e2hEJfL9f79e9QZJJNJuVy+tLSEjDHHx8eFhYUoQ4PBwDfApFKpmZmZLD0lRVE9PT0KhQKaeVZWVurr6x0OB6w2R9/E43E4oWVra2t9fX1lZcVkMg0PD2u12ubm5vHxcZqm+fqGpumxsbGqqiqr1Xpzc2O32wUCQWdnJ3yVz2X+Dcuy8/PzEokENiQQCHR0dMjlcrSyia9vBgYGRCLRX5NtxI2NjTKZDMEEANw7PjU5OTk/P48uH9Q3T548cTqdarV6dnYWnjKbzYuLi6FQSCwW4/abaDSKLg3DMG1tbTabDeXG0TdOp7O+vh4JBYZh+vr6rFYrip/FA/XNysrK3l9uf38fxbdarV1dXagmkUhEKpUipUXT9Pv373d2duBdB02VcrkcNeTm5qahoQFfsBaNRpHcYRimpaUFiWm+/eb8/LypqQnNB2cYpqura21tDVUvEom0trbi+aNTxEMIEAKEACHwaQRy1TeXl5eFhYVIdiSTSZPJ1NXV1dnZ2dHRgcrW6/VGo5HG3MLCwsDAAIogkUjwhdNOp7OhoQGJlbOzs7q6OvxBz5lf7HK5GhoasOxpiqJev359c3MDizAYDA+d7+z1euvr6ycmJlCPBQBwOp2NjY2bm5v8+TehUEihUKjV6o6ODp1O9/79e4VCYbFYHA6H2+2GeoWvb2D1Tk9PdTqdSCRSq9VIP+Viv6EoSqVSqdVq1OlCqWG1WpFi4OsbWCiT2RkMBpw2ukzIMzExgSZNw0C4fsrlckHZB0WDRqO5urri6xtUgUgk4vV6tVotkkQAAI6+gbOh8Yu7vb09ODiIKpPFA/UNXJ4munNisRjFb21t3draQjmnUqmenh54cQEAcFwS6SoAwMjICD7hNxAINDQ0INWOsqVpGrZLpVItLS2hcI79RqVSwbsLVWBlZQW/S6PRaGtrK1p8h/IhHkKAECAECIFPJpCrvvF6vUVFRegdlKbp4+PjjY0Ns9n89u1bVHxLS4tAIFBjTiQSyeVyFIGjb9xuN65vzGazRqPBdQZH35ydnRUWFmLZ/8/7/PlzpBUMBgPeg6Jys3iSyeTZ2RmSbigmRVGwJh6PZ2hoiB8BxpTL5XCMKZVK/TXsM1VTU4PLOJRnJk8u9hun04mEIMyHYZhEIoEqZrVa0y4zHhoaghOQ+X/HxsayD4vMzs5yFAbSNyzLNjc3n56eBgIBmUyWSCT4+oaiqM3Nzc7Ozt7eXjiOgy+c5uiboqKimpoa/OI2NjbqdLpM0PDw7ONThYWFYrEYz7m0tNRsNsMc+PpmYmIC1zehUIizCVMymVxfX0ftEggE+Mxujr4pLCwUCoV46XV1dfiS+0Ag0NzcnF1o4o0lfkKAECAECIF7CeSqb+LxeGVl5dbWFidHt9v94cMHFCiXyy0WC7bF2v+8+KhWdn0zMzOj0+nwXpyvb5qamjj5x2IxlOQT9A2svNfrXV1dTbvPHxz1QG3keJC+oWn6r4XYu/X19V9c36ByU6nUxMTEx2nXT58+ffXq1bNnzyoqKqxWK3+3YpgkkUjEMzihUIjm0KD8cc/y8jI+TRuNT8H5SQsLCzMzMyMjI3CbPr6+GRkZkUqlLpcrmUzSND06OppF3xQWFs7Pz3MuLmcqLl433J9d31RVVe3v73NyRsNVD9U3LMv29fW1tra63W7YroGBgSz6pqioyGq1ckrH2+XxeJqamvCfCd404icECAFCgBD4BAK56hsAgF6vLy8v5zyFOfrGYDDwVwnh1cqub/b29pqamnCLAkffuN3u2tpaTh3w/D9Z31xeXo6Pj6Od/XCPVqvl718cjUbz8/Pj8bjFYoF72ODV0Gg0+Kb7kUhkZmZmampqcnJyYmJidHR0aGiop6dHo9EoFIqOjo5c7Dcwf6fTWV1dPTIy4na7oeWGpumLi4vOzs7m5ua0Yxwej+c6gxMIBNn1zenpqUAgwJuG7DcAgJubG5VKlZeXBzfI4eibWCxWVVWF750zNjaWRd9oNJqBgQFkjsILvdefXd+0trbi8104uT1U3wSDQZFIhE9jGhwczKJv2tvbR0dHs7Tr6uqqo6MDN1tyakgOCQFCgBAgBB5K4AH6JhqNFhQUjI2NoRdfAIDL5SouLkalnpyc1NbWpu1lYZzs+iYQCFRWVuJy4ejo6KOJAvXByWRSqVTyt+BDFcikb3JZH44y4Xg484vh2Ugk8vTp00wthW/2KJ9kMulwOHZ3d/f29vb39w8PD8/Pz10uVyAQgMan3PWNXq8fGRnhd5YURYlEInwpGSq9vr5eo9Ho07l759/EYjHOfG1c3yQSCalUihaQc/QNXK6FEFEU1dTUlEXfOJ3Ompoazie0UCsAAOFwmN9wGCG7vllaWmptbc2U9qH65uLiQiKRIBWeTCY5OytyxqfOz89FIhE+vwdvFADAZrNNTExkqh4nMjkkBAgBQoAQyIXAA/QNAMDr9ZaWliqVyq2tLa/Xu7e319DQUF9fj0qiafrjK3h+fv7HPegikYjb7e7v78ef7Nn1DcMwo6Ojb968cTgcfr/fZrNVVlZy1oe7XK4//viju7vb5/NFIhGbzTY0NIQqkFbfhEKh3377jbMfHUpyr+cT9M29eXIi5K5vjEZjd3c3/12foqgPHz583JWHkzMAoLCwEF9MxI+QPaS3t9dgMKA4uL4BAIRCITRxhKNvWJYtKSmZm5uLRCL7+/uVlZU1NTW4vllcXOzs7MTbYjAY4DYE8OYZHBxE38+6uLj417/+lel7Vdn1TSwWk0qlIpHo6uoqGo2enp4ODg6iaj9U31AUVVJSYrFYwuHw3t5eaWlpZWUlbr+ZmZkZHBxEY6YMwwwMDFRWVsKvrrpcrsHBQTQjnmVZsVh8cHCACBMPIUAIEAKEwOcTeJi+gRLHaDS2t7fLZLLOzk6LxYL6CVgbhmFsNptWq1UqlR0dHRaLBR9OWlhYwOVOOByem5vD31xTqdTi4qJarVYoFCMjIy6Xy2g0ondlWEQkEoEbiqjV6qGhoYuLCwRid3eXv89NLBZrb2/Ht7RB8XPxZNE34+Pj0xkcPj51bym56xufzyeTyeDmK/v7+8fHx3t7e4uLi+3t7b29vfisDlRoYWHhyMiIPYPLYi+BOXg8nsrKSjS1nGXZ/v5+ZFFDpcCPOczPz+OX++DgoL29XaFQDA8P39zcwL0QURK4xB2tbwcApFIpm80Gh+00Go3VakV3VygUkslkXV1dSDegfAAAkUhkYGAA2YrwU9CfSCRmZmbUarVSqezq6tra2kL5MAxjMpnwtA6HAxcciUQCbxfLsnt7ezAreIseHx/jW0Pd3t62t7fjA1gURS0vL3d0dCgUCo1Gs7y8jG7p3d3dmpoaHBq/8iSEECAECAFC4KEEHqxvYAEMw1AUhesSTsEMwySTSdSFcM7ee0jTND4Kljb+x5Xh2euAp8o09xaPk8kPrVCcxtI0vbe3t5PZ4fNOMuWMwp1OJ27YQOFpPfF4/Pz8fH5+Xq/X9/f3j42NWSyWm5sb3BCCJ7RarbOzs3MZHDIk4Ek4/pGREbQKnXPq3kOaprN8VDyVSvFvkkw3z+zs7OTk5L0lZomQvTJZEvJPZf9YeiqV4twwAAB+uxiGqaur+xzrGr9iJIQQIAQIAUIAAPCJ+oaw+0cR8Pv937wPdjgcEokEN/79BJcgFotxtk/8CRpFmkAIEAKEwPdAgOib7+EqkDrcT8DhcKQdFLs/JYlBCBAChAAh8M8jQPTNP++akxYTAoQAIUAIEAI/OwGib372K0zaRwgQAoQAIUAI/PMIEH3zz7vmpMWEACFACBAChMDPToDom5/9CpP2EQKEACFACBAC/zwCRN/88645aTEhQAgQAoQAIfCzEyD65me/wqR9hAAhQAgQAoTAP48A0Tf/vGtOWkwIEAKEACFACPzsBIi++dmvMGkfIUAIEAKEACHwzyNA9M0/75qTFhMChAAhQAgQAj87AaJvvosrTFEU/zNMWWrGMMy93+fiJE8kEpk+UMWJmekQfj4p01l+OMuy6CuS/LNpQx7KIW0mnxCY5QtZn5AbSUIIEAKEACHwzQn8MPrG6XR+8icevznleyswNTV1dnbGj8YwjN/vv7q6Qp/RhnGOj4/NZjM/fpaQ/v7+09PTLBHuPXV2djY0NHRvNBQhEAj09fU9SIcZjcZcvrtOUZQns8M/SI4qk8XDMMzw8DD6QHqWmOQUIUAIEAKEwI9C4AH6JhqNOp1OTsMYhnG5XA/qwzg55Hhot9vr6+tzjByNRi/+cm63OxQKJRIJ/vecs+T2oMhZ8oGnVldXO+5ce3u7XC6H/o6OjpGRERihs7Nzb28Pz4dhmL29verq6qqqqqampuLiYrVaHYlEYJytra3+/n48PvTH4/Ht7W29Xj84OGi322OxGGpIU1PTzs4OP0naEKfTyf+S5d7enkwmw+N7vd7uvzudTme322Ecj8fT2NhIURRKwjDM8vLy8PDwyN8dqmRnZ+fh4SGKn8lzdnZWUlLyIZ179+7dq1ev+Akpijo7OzMajXa7nSMWGYZpbW29vb3lpyIhhAAhQAgQAj8ogQfom8XFxcLCQk47I5FIeXn5zc0NJ/yLHz5I31gslqKiIo1Go9Vq1Wq1TCZraWnhCIgsNWRZdnNz8wu+0Hs8nv07t7q6WlJSAv37+/vIoMLXN0dHRxUVFZeXl7DvTyaTc3NzjY2NUEqm1TfBYLCtra23t9dms62urg4NDUml0uPjY9jSB+mb0dHRtbU1DiK+vonFYjuY297eVigUFosFJuTrm1Qq1dLSYjKZ1v7uUEE56hsUn+85OTl58+YNJzwSiXR3d7e3t8/Ozvb19UkkEp/Ph+IQfYNQEA8hQAgQAj8NgZ9W32g0mlQqxTAMTdPxeHxlZaWwsDCZTOZy5ViW1Wg0uQyU5JIbHuf29vbDhw8c+wEAgK9vTCYTZzCIYZgPHz7AjjmtvpHJZOPj42iSDcuyu7u7arUahjyGvsGbBgCgKEqhUFxdXcHwTPrG5XJxEqLDz9c3BwcHBQUFKEPoWVtb6+/vhxwYhlldXVUqlTs7O7t3bnt7u7GxkdhvONDIISFACBACPzSBx9I3cDDr5uYmHA6j0QdIKpFIhMNhnFo0GsW7/GQyGY1GaZp2u91o8Au33zAMEwqFOBNy4/F4NBqF2VosFq1Wi3p6AEAsFvvw4cPBwQEql6bpYDDovHMoIeyk/X6/VCrd3d31+XyRSASvfyQSubm5cblcsVgMZZW75/j4+M2bN0tLS5wkfH0D7Tdw5k0qlQqHw/Pz842NjbBRfH3DMMyzZ8/cbjeeczAYlMvlUNU9SN/o9Xr+bCe+/QYvCwBwc3Mjl8vRIJrH4xEKhU6n0+v1QrMTtN9k0TcajUYulw8MDGxsbODYOQVlObTZbPxxTJVKtb+/j1KFw+GqqiqFQgEHCtvb26urq4m+QXyIhxAgBAiBn4DAo+ib3d1dqVSqUqna29tbWlrW19dxUktLS11dXXjIyMjI/Pw8Ctna2hoeHp6bm5PJZL29vYFAAACA6xuaplUqFT6NlGVZvEvm65t4PF5SUoImoPj9/r6+PoVCodVq29rampqaUKd7dnb2URvl5eU1Nze3t7ebzWakk3Z2dlpbW7VabUdHh1KpRElYll1fX19cXERNyOQZGBgYHh4uKirCK5/WfgPHyHp7e7u7u7u6unp6evR6PRpVSatv8vLy0IAXrIDP55PL5XAGzIP0jVKpHB0d5bQiu74Jh8MikWhtbQ3pEo/H8/bt266urqGhIVjze/WNTqebmZnZ3993u90oH041sh+Ojo4ODg5y4jQ0NODyhaIotVoN7ysAABmf4uAih4QAIUAI/AQEvry+OT09/c9//rO1tcXcucPDwxcvXqBZIACAqamphoYGnJ1SqdTr9SjEarXm5eXp9XqappGRBtc3AAClUrmxsYGSBINBgUCAhp/4+ubg4CAvLw8ZXZxO58rKCsyfYZje3t6BgQHYobIsm0qlJBLJ+fk5XoGTk5MnT55cXl7CdlkslurqalgB2EF++PAB1Setx2q1ikSiaDS6tLQkFotxoxHffoNypmk6lUrRNI3393x9AwCYmZlpamrCl2SPjY319fVBhg/SN+Xl5VKplNOKLPomEAgIhcLh4WG8knB8KpFIoIuYVt+kUqmLiwuPxwN1Xvb5xYFAYHJy0pDZlZWVSaVSg8GwtbWF6l9eXo6sSlDQ6HQ6NP5I9A0CRTyEACFACPw0BB6mb548edL6d9fc3Pz06VM0vxjOwOC8+k9PTwuFQiQ+ctE3+fn5yDoCWXP0jd1ub2trQ5fh+PhYLpejQ4vFUl9fb7fbV1dXl5aW9Hp9bW0tmveKoiGP0+nElQHDME1NTaj/AwAkk8mWlpbV1VWUhKKogoIC1Bn7fD7cQoCiQY/b7R4fH29uboaNYhjGbDZ3dHSsrKzAgRuOvtnZ2TEYDKOjo3AlVGtra3d3d2dnp0ajaW9vj0QiafUNAGB4eFihUIyOjo6Pj6tUqo6ODrQMKnd943A46uvrRSLRxcUF3hC+vmFZNhgMrq+vSyQSvvmKP/+Gpun+/n61Wq3VamFb5HK5VCrV6XRw/Oje+TfhcHhpaWkhB3d0dIQqX1tbi0xfAIBUKqVWq1EI0TcIFPEQAoQAIfDTEHiYvoGyw4W5k5OToqIipG+CwWBNTQ1umQAAfLQovHv3Dq0tz0Xf1NTU4JYAzvgUAMDn85WWlqJRnomJCZPJhK6KxWKpqKgYHR01GAzv37/XaDQ3NzdomAlFAwCcn5/Pz8+3t7cLBAJk3eHrG6/XKxKJgsFgGHPNzc1zc3N4bpn8NptteXkZt6ywLOt2u202G6wVR9/4fL6Tk5PT09Ozs7P19fX//Oc/19fXfr8/Go1mWT8FAKBp2uVyHR0dHR4eXl9fw8iwVjnqm1gsVlBQsLW1ZbPZqqqqEBMAAF/fzM/P19fXDwwMnJ+fIyMNgsDXNwCASCTiu3N+vz8UCsViMTzhvfoGZp5MJtHoEioOeiiKur6+5gTKZDJ8e6FoNFpfX9/f32+4c3q9XigUZpGnnNzIISFACBAChMD3T+Bh+ube9eFut1soFOLdKkRQVlaG3qdz0TdCoZDDjmO/AQB0dXX19vYCAFiWbWxsPDk5QUnw8amFhYUXL15wJFcqlbLZbBUVFXV1dZOTk3a7vaGhAfXlfH1zdXX19u3bP3luYWEBFXqvh8rsHA4HMrRw8nG73b/99htEarfb6+5cSUlJT08PJ2b2w1z0DUVRnZ2dKpUKZqVWq3t6epDhja9vjo+P/X4/PoqH1yGtvoERWJZNJpOhUMjn893c3Pj9/nA4nEwmj4+PQ6EQnkla//HxsU6nS3vq/Pz8xYsXnFOzs7PT09Mo8OzsrLa2dn5+fvHOLSws1NXVEX2D+BAPIUAIEAI/AYEvrG/8fn91dTW+pRs0KhQUFKBlw0ajkbPChT//Jhd989Fo9O7du1AodHl5KRAIcOsIrm8oihKJRMPDw7j9ZnFxUalUOp1OaCXy+XwSiSSLvvF4PAKB4DOv99jY2GAG19nZybc6OJ3O/f3929vbP//8E+qbeDzuvXMLCwt9fX2oPizLQruI1+v1eDwul+vi4uLg4GB9fd1isUxPT5+fn9+rb8Lh8MDAgFwuR2vZYrFYe3u7TqeDy7L4+gZWYGFhAZ/sgmqVRd9sbW11dnbqdLre3t7BwcGenh6dTtfR0bG9vY2bc1BWHM/x8TEcp4vwnMPh4Osbr9crk8nm5+fPzs5WV1eFQuHu7i7Kk4xPIRTEQwgQAoTAT0PgC+ubRCIhFovRDrYQ08bGRnFxMbKgWCyW8vJynGBzczNnfnEu+oZl2ba2NrvdrtPpJiYm8AxxfQMACAQCZWVlaBANACCVStFaKjjalV3fxGIxoVCY+w6BeGWQPxgMBjI4tVrNz9xqtcJV7l6vlzNad3Jygq84S6VSw8PDlZWVVVVVAoGgrq5OJpN1d3dPTk6urKx8nOIdjUbv1TcjIyNKpZKzq2EsFhsdHXU4HGnHp2DTtFqt0WhEzUSeRCLhcDj4eiUejwuFwvPzc/TVJ/ilKpfLJZFI0Dgmyofvgcvsy9O5wsJCvr5hWdbv9+v1eqlU2tHR8dEah9eK6Bs+YRJCCBAChMCPTuAL6xsAwOrq6tu3b6+uruCwhdPpLC0txef2np2dvXjx4ubmBlodzGbzq1ev7tU3q6urtbW1HNxHR0dKpTIvLw/NFYUROPoGTrzt7OxEKkEmky0tLcHd/7xe79DQUE1NDbLfsCzb0tIC12ehjnBlZSU/Px+2C04qwnviy8tLztpsTlWzH3Lm36BWdHR0ZE+Y+9l79Q1u30qbbSb7TSZ9kzYTAMD29rZarUbXAo/W09ODb1SDn8L9Dx2fwtPy/UTf8JmQEEKAECAEfnQCX17fpFIpOKFBoVAolcr6+vrp6Wm872RZtqurq6qqSq1Wt7W1zczMGAyGe/XN+fn5u3fvVlZWcOLRaLS2trapqQkPBADw9Y3b7cb3v9nY2KipqVEoFO3t7Vqt1mQytba2In0DAFhaWqqqqtJoNAaDAQ630TQNp9PK5fLOzs6Wlpa+vj7YSTMMo1KpqqqqONXI/fB70Df31vZL6ZtoNCoSidB8LFguy7KHh4disZizbi5trYi+SYuFBBIChAAhQAggAg/QNyzLImMGSg93E8EPoT+VSl1eXp6dnfHnGsMZwV6v9+joCG7rwt45lEmmguCXtFE0tNCXP7KTNgeGYXCbQSQSgTsUw0ZxmsaybCAQ+DiZAw2rwXJpmr6+vj48PMQ/XeDToaMAACAASURBVAkACIVCnE2Z8Xre68+kb3799ddnGdy7d+/uzRaPcK/9Bo+c1p9F3/z3v//NUM1nVquVn9vR0VFBQcGHDx+0Wu3IyIhGoyksLCwoKMD3SeKnQiEfo7179w5Oteb8raio4I9PoYRpPcR+kxYLCSQECAFC4Icm8AB98x228/b2ViKRfI6w+E4adXh4yF8/BT/LgC1I/5sX37Aul1ZsbW1xRvFySYXH8fl829vbeAj0ww9u/K1y2AFnsjlKzjDM+fn55ubm0tLS1tYWf3o1isn3JBKJ09PT4wwOXwrOT8sPgR/qQrOq+RFICCFACBAChMAPR+AH1jcMw3R0dOj1eo7p5Ye7BqTChAAhQAgQAoQAIfBlCfyo+qavr6+8vLyhoYEzfvRl6ZDcCAFCgBAgBAgBQuBHJPCj6pvDO5d2cs+PeBlInQkBQoAQIAQIAULgCxL4UfXNF0RAsiIECAFCgBAgBAiBn4wA0Tc/2QUlzSEECAFCgBAgBAgBQPQNuQkIAUKAECAECAFC4GcjQPTNz3ZFSXsIAUKAECAECAFCgOgbcg8QAoQAIUAIEAKEwM9GgOibn+2KkvYQAoQAIUAIEAKEANE35B4gBAgBQoAQIAQIgZ+NANE3P9sVJe35uQlcXV2RbZ9+7ktMWkcI4AR8Pl8ymcRDiD9HAkTf5AjqJ48Wj8eDweCDGunz+TJ9WyptPqlUyuPxpD2VYyD86Onj9e7JZPLy8pLzuY9wOBwKhXKsIYxG07Tf78c/5vqg5Fkih8NhgUDwIOxZciOnCAFC4PsnYLVa5+fnv/96foc1/ER9w7IsTdO5tyeVSg0PD2f/huJD88y99LQxjUbjyspK2lM/XyBFUW6328lzbrcbdpY2m62zs5PTcJZlfT7f7u7u8vKyzWbb39/He/ry8vLd3V1OEgAATdOBQMDj8QQCAVyLXF5elpWVcdQDJ3kkEuHV8X8Bfr+fYZhUKqVUKl0uFyfV1dXVfmaX+xc8PB6PUqnkqAe9Xt/T08MpER4mk8lAIBCLxThnvV6vQqFIJBJ4OMMw/swuFArdq4dYljWbzSMjI3i20M8wzL3J06bKfjn4SR4pJB6PRyKRBz1SAAAsy+I3GF43mqY/p2mnp6dKpRJlyDCM1+vl3Bjo7FfzpP4fe1/+l0iuvf3vfu/cd2a6p3fbfaVdUAEXdgEFBAVxF3dx33cF9x3ZZJO1qvL2NZ/JJ10FiI49031v8oOmUsnJyZOq5MnJSZFMBoPBaDT61L5OCSxFUbicRCIB37Ism9Pf3/9S42f2Ty/9ELga0jSdso3cnH89hYUbFMiavCiKcrvd6R5Org5LS0sp32uY0+12V1RU4GMvVwJJSYnAM/mN3+8fHBzMfgRJJBISieTo6CilEjDRbrebTKYMGV72llartVqtLyvzb5MWj8ef9D77fL6hoSHLQ2hubm5oaIDxgYEB+KPiKfnN5eVlS0vL1NTU1tbW5ubm8PBwa2urx+OBzUzJb1wul06n02g0RqOxra2tvb0d5c+G39jtdqiY2WwuKSkxGAzwcnZ2NpFIpOM3EolEr9dPpgoCgSDlb57jPbW7u7v6ECYmJmpraxcXF+El/F36dPxmd3dXKpWqVKqmpqaNjQ1cYEp+EwgE+Hy+Xq83pAoDAwOPjoaJRKK1tfXq6grVxTCM1+tdWFjQaDTc35+fnp5eXV3F5zBUEEa2t7dXVlYyZGDl/x6XPp/PZDLJ5XKxWNzW1uZ0OrOv5eLiQiqVcvmlz+fT6/Xr6+vZi2Ll3N7eLioqQolOp7O2tnZ+fh6l/M2RRCIxMTEhfwhisdhms2VPtu7v7/v7+7kbHAMDAwcHB6ghi4uLDQ0NXq8XpWSOyGSyFxk/k8mkwWBwuVyZq4N319fXu7u7uTkXFxcnJye56d8jpbe39/z8nCXZbrf39PSgRLvdXlpa6nA4UErmyNDQkFQqTZeHYRiDwTAwMJAuA0lPh8Az+Y3T6RQKhY+OyKjWbPjNzMxMWVkZKvK9Iz81vzGZTNm/PCwkU07YKflNS0vLysoKXtxmsyFLKZffxGIxsVg8NzeHikxPT4tEIniZDb9BBROJxMePH1n7Wen4jVwu397eRmVRhGEYk8mU8hbKAwAYGxvregharba0tNRkMsFLONanhOvw8LC4uBhSw1AoxOfzcdqRkt94vd78/HzuNINrkjkeCARUKhUuwe1219TUvH///tWrV1zj6Lt37yQSCcuMhFcxPj7e09PzD/Kb29vb4uLi8fFx2Kjx8fG6ujpcw8zxnZ2dV69ejY6OsrJtb2+/efNmcHCQlZ79JYvfxONxm80Guzt7IS+Vk6IovV5fW1sLFQgEAl++fGG9mBnquru7q6+v57JAoVC4sLCACgYCgYWFhexp00vxG51O98cff5yeniJNMkQcDscvv/zCssgmEomGhoZHX/MMYp90q6amZmtri1Vkdna2uroaJd7f3w8PD4fDYZSSOZKZ3wAAgsFgWVlZNBrNLIfcZSFA+A0LkJ/jUq/XP5vfyOVykUjEmtVS8huZTLa6uoojYrPZpqamYAqX35yenmo0GnyITCaTEolkc3MTAPAkfuNyud6+fQsLIgW+E79B8s/Ozurr61mEoL+/XyqV7u/vo8UuwzBmsxk3C21ubjY2Ng78GTo7O5uamlhy/jq/mZubS7mGSyQSzc3NXH7jdDozL4v/cX7j9XoPDw8R/tFoVCgU2u12lJI5srOzI5FIcnNz8UcOANDZ2VlTU/NX+M3Ozg5uv8msxt9wl7VztLCwgJYNj9aeJb95VA4rw1/nNwzDrK+vFxcXy2SyLPlNMpn8+PEja1CC1rXsNxNYDXnqZTb85qkyH+U3AACxWHx2dvZUyf/j+V+S39A0vbi42NHRMTAwwLLgQfvNycnJ3d3d5OSkXq/nrhW49pulpaVIJHJ3dzc1NWU0GvHt3mAwyNoUAAD4fD6Hw4HP3Nvb2yaTqbu7++DggPUC4PabYDC4v7/PynBwcHBxcYGej1gsNjs7azQarVYray/A4XD4fL5QKDQ1NdXb23t8fAxLnZ+f9/T09Pb2cl13GYaBezFdXV1o4oSlYrEYNK2fn58PDAx0dXXhagQCgZWVlerqapPJNDMzs7u7i6xoeMOR2qxIMBgsLy/n8/ksL5aU/Ob09FQkEi0vL3u9XpfLNTEx0djYiHYQuPxmcXGRu4vc3d0NZ5on8ZuVlZXKykq1Wo13yvfmN4ODgx8/fmQh09/fX1NTY7VaJyYmIJhQDfwZ8Pl89fX1F3+G7e1tuVz+4vxGLpfPzs6yOhQAkI7fcHOyUh7lN16vd3R0VKvVzszM4M0JhUL428cwzMFDQPKj0ejS0hLed+hW5ohOpxsaGsqcB93d2dnp6uqqqKjY399HibFYrK6uTq1Wc/mN0+ns7+83GAwbGxvorUEFb25uBgYGOjs7V1dXt7a2iouL0S2KotbW1nCzwfHxMWuIW19fx82NZ2dnNzc30Wh0cXHRbDbv7u5CaU6nc3BwsKurKzP1RFWnjGxsbNTW1qa8xU3Mkt9Eo9GdnR1815um6f39faPRaLFYoOF2ZmYGmRBkMtnw8DDs6I6OjomJCS6kXGXwFPTWtLS0ZMlvAAC9vb16vR4f67a2tnQ6HS45FApNT0+3t7ePjY3hzy0AAPbj6elpe3v7wsICRVGBQMBut7Oe1YODA1b/IvnZ8Jt4PD4/P8+q+u7uzmq16nS68fHxmYdwfHwMGzI0NCSTyRKJxM7OTmdn59DQEMIZ1dvW1pa90Q6V+h+PvBi/8fl8QqGQz+ePjo52dXWVlpbi29WQ34yOjvL5fJPJND4+zufzGxsb8SeAy2/ev38/NjZWV1fX2dk5ODj46dOnvr4++EDc3d2VlJSw1qwtLS1oUItEIhqNpqysbHh4eGBgoKKiYmhoCH+IcX7j8/nq6uqgvwV8IKLRaEVFBXIY8vl8TU1NUql0enq6s7OzuLgYfyGlUqnFYhEIBJ2dnT09PW/evFlbW5ucnKyurrZarWKxuLi4GJ8OaZq2Wq1VVVWjD6GgoGB0dBTp5vF4cnNzh4eH+Xz+wMCAXq//448/0DL36uqqo6MjPz9fLBa3t7dPTU1B277b7X737h3aPEr5WDMMMzY21tPTMzc3Z7FY8FVvSn4DAHC73WazuaGhobm5ub+/H7e4cvnN1dUVawMFTr3QDTl7fhMOh+VyudPpFIvFuNk5Hb+RSqWTk5NXnHB5ealSqXBDS0pYoKfq1dVVaWnp2NhYQ0MDPpNx96cSiYRCocAN/tFoVCAQoB78TvtTpaWlKdvynfjN4eFhWVlZa2vr9PS0WCzm8Xg3NzcQQJ/PV1JSgnw17u/vm5qa8vPz0ayzt7dXVVWVDu106TRN4yZD6G+k0WjS5d/Z2TGZTEtLS0ajEVU9OTnZ0dFhNBrRUAD7d3V1taysrLe3d3Z2VigUms1mVISm6fn5+Xfv3rW3t09OTioUCh6Pl5+fj+q9v78vKirCtyD1en1vby/KAAAoLS1dXFxEKWazub29XaVSwXGmsLBwenp6Y2Ojrq5ucHCwtbX19evXCE9UKptIPB63WCx47SsrK8XFxag5LCFZ8pvb29v6+np8WoXuaMvLyxMTE3l5ebW1tR0dHWiQlMlkWq22qamptbV1ZGSktLRUJpPh9IilBuuSYZj+/v7e3l6GYRQKBT6cer3eDBtwgUCgtrYWXzF2dHQsLS0h+V6vVygUtra2zs7Otra2FhUVoSUZAKCwsNBmszU2Ng4NDa2vrzMM4/F46uvr8Vc+Ho+XlZWlsyNmw2/u7u5+++03fEPT5/OVl5f39fVtbm6KxeLc3Fyj0QgVAAAMDQ01NDQYjUapVDoxMdHQ0FBQUIDvRAMA+vr6kO0cNZZEMiPwMvyGoiiDwWAymVCXnJyc8Hi8y8tLWD3kNwqFAi1x4ElXfLmfkt8olUr0lBweHpaWlkI3coZh2tvbtVotal4gEPjtt9/gkEHTNLT4obfR5XLxeLy1tTWUH+c38XhcqVSiNRYAwOFwCIVCNGSYzebh4WFUdn19vb29Ha1XJBKJSCRC6/6vy4Lc3Nzx8XFYnKIooVCIj337+/sSiQS9osFgsLGxEXE1j8fz+++/j4yMoMHCZDJ95TRIGQCAVCpl7U95vV6pVIqvqpG2MJJMJm02m1Kp9Pv90WgUjr9OpxOKZfGbZDLpcrmur6+vrq7Oz89PTk7sdvvGxsbCwsLU1NTX8Y6maS6/icfj7e3tZrP59PTU5/Odn5+bzWadTgeBypLfeL1ejUZjtVqTyeTFxYVCoZibm4NkIh2/gacP+tIE9MixAMEvd3Z2GhoaoDFsaGhIqVQik0BKfiOTyXBqnkgkhEIhmhvS8Zvc3FyXy+VPE/D+xXVD8Y8fP6IXCiV+J/vN7e3thw8f1tbWIGlLJpNjY2O1tbXwhYJEBBlabm5uLBbLx48f0YQ9PDyM0wtc2wxxv9+PqgAAJJNJq9WacksOCoGL3UQiIZPJ/H4/hKKiouLi4sJgMOAKnJyclJWVIYICBx/0Bp2fn1dWVqLFDEVRX316CgoKkKrP4zdlZWUHBwewW/f29l6/ft3T0wPnUZqmpVKp2WxGVWQTOTw8nJmZ0el0vb29aGQDAOzt7alUKjRcsETd3d0VFxfbbLaFb0NpaSnuf8PiN36/v6ysDHXo0dFRSUkJTgJkMlltbS0yLcP86JKlA/dyb2+vvr7e5/Nx+Y3f79fpdCmpPACApml8p4am6draWvRe0DStVConJyfhc8swzMzMjF6vR2N1YWFhQ0MDGqvhM9PS0oJ7ox8eHtbU1KDlCkv5ysrKzs7Ob7FcaG1txf1vuPymtrZ2dHQUPgz39/d8Ph/nT1/X3nl5eVtbW7DS+/v7nJwcfLYCACwuLr6IQzerOf/dly/Db8LhcF1dHVrPwQWT2WyWy+UQPshvkBECJm5sbFRUVKB5IiW/wR87hmFwm835+fnHjx/RqbnZ2dm6ujr0AAmFQpy2AwDm5uZKSkrQLILzGwCAzWaTSCSoswcHBxFZjsVi5eXleOuCwWBLSwt626VSKe7kGIlECgsLcftzb28v/mhWVVXhCw4AQE9PD/I18Xg8nz9/xu09BwcHMpkMcceU/AYAEI/H072TLpdLKBR2dHQguOLxuMPhqKurg6M8i9/c3d21tbU1NjY2NzdLJJLq6ur6+vr+/v65uTm73e5yuRiG4fIbAEA0Gp2dnW1qaqqoqGhqasIN2tnwm+Xl5aqqqo2NDWhbYhgmFAr19/eLxeJgMJiO36Bee0YkGo2KxWJoLoLFaZq+vLxsbm6G+6FcfpNMJlUqFT7BhMNh3B8iJb+5u7vLzc2tqKjgPYTc3NyioiIY5/F41dXV6EVI14o3b96k5Grfw34zODjY1NSEP04URQkEAmROm5ubKy8vh6pubW3ZbDaDwQDPsCQSCbVajaacdM3hpq+srLCsNclkMt20DQCA/IZhmI6ODshODg8PoW8Zzm+gmzl6nWG9w8PD7e3tMN7f348ffgEAsPyLn8dvWltb0WgTj8f//e9/4wPg7Oxsc3MzF4QMKRaLpaSk5NWrV6zNIJqmcVssS8Ld3d2nT590Op3x25Cbm5uB32xublZWViL9GYbJz8/HrSwymQxnkACAxsbGlB+MYOkDAPj6daj8/HzYZVx+AzkHqppbfGBgYHx8HKYfHh7W1dUh+vJ1xyc/Px9/lSD9RYvJwsJCfKyGQpaWlnB2MjY2hg/XLAV4PF5TU9O3WBrr6+txCSx+89XL4vfff8ffiI6Ojq6uLiR5aGioubkZb7JEIkHrB5hte3u7v78fz4OKk0g6BF6G33g8HpFIhFvs4U5nXl4e7A/Ib9AKCWrjcrkKCwuReSYlv0GzPizy5csXfFu0rq4OktxEIiGXyxEj9vv9QqEQn4EAAHBJCtd5AAAWv3G73R8+fIDKwOUpMqgcHBwUFRUtLi6u/BlmZ2fr6+uRfKlUit43qGdJSQk6Fw1P6KCdtWQy+euvvw4PD/8p7D//1Wo1cq2A+1PohQQA3NzcNDc34y8t136TroNh+t3d3cnJCTdPPB6HIyN8ebgZYMrc3BwcFCiKurm5OXsIxcXFWQ5nUEg2/Obs7AznkbAgACASicDv35jNZhxYn893nEU4OztDxhUkE0U2Nja4kyj6JsfMzMzY2BjKDD/wo9Fo0OMBALi4uODxeNo/g0KhEIlEeH/hxWFco9Hg/mTcDNyU/Px85NqF331xfsMwjEaj4R64NRqN09PTsOpAIPD+/Xu4Du7p6bHb7aenp0qlkqIouL2ImDSuaoa43++vq6tDr3CGnOgW5DcAgNXVVbjTMTAwAH0UcH4Tj8dlMtno6Cj+xnV0dCBKqlQqWWvlF+E3uHUZAPDrr7/i3be5uSkSiXAGidqVOeJ2uxUKhdlszrLs8/anPB5PWVkZ6sRAIPDhwwf81eP6F8vlcu7BIm5bKIqyWCxWq/UrZ2IYhqZphUJxcnKS/cy9u7uLqKFKpRoZGUG1TE5OlpeXL2MBnntHmhcWFnK9WMLh8KdPnyB7oyhKpVLhXAQJh5Hn7U8VFxejZ4yiqKamJvQqwf0p1vlwrVbLOgk/MTHBGohYipFLLgIvw2+urq4aGxtZU8ju7u779+/hzJGS39ze3hYWFiJDxTP4zerqqsFgoCjq9vZWIpGgN8Tn8wkEAtxZBAAQCATevXuHzCosfsMwjFwuh7QdSkPNWV9fLywsnJubw22SKysraNHwJH4TiUT+9a9/DQ4O4tIWFhaQYt+D38COj0QiR2nCzs4Oi33izwriN7FYbGlpafwh5OTkvDi/gZVeX1+nUfNobW0N9QsA4PDwcPjboNPp8vLyvk0bnpiYSEmbUBvhAeD+VMFisbBINrT2dXR0wAmGYZjOzk6r1er8M9jtdoVC8eL8prq6mnVyBOr/4vyGoiiFQoHvqMKKurq6cB7f0NCwtLTEMIxQKITfa5ZIJD6f7/LyknWMDuGcLhIIBAQCAdyUTJeHm474jcfjqa2tDQaDXw8bwykZ5zfRaLSxsXF4eJj1xqEtyObmZtbE/Dfwm62trefxGwCAy+XKy8vDGTYXHJTyPH4DAIBfnwqFQi6XSy6XsxjVs/kNXEk2NDTI/gw5OTn19fVarRatGJHyKSOBQKC8vBwe6cjJyUHcBRKFiooKVkdvbm6ilzElvwEA9Pf3t7e3MwwTDoclEkkGTZ7Hb3Z2dgQCwenpaSwWs9ls+D5slvyms7MTrYFTwkISuQg8k99cX1+LRCI0wYdCIYFAwHombDYbMtml5DdwfwoJeQa/CQaDUqk0HA5vbGzgbDcYDAqFQtwEAgA4Ojr69OkT2uVh8RsAwNnZWXV1NXQiwdcE8PORLLaEQ/kkfvN1I+nTp0+4rw8uCgDw/fjN+fl5c5pQUVHR1tbG0iSRSJjNZq/Xu76+jn/VBmarrKzE+U0wGDw4OHA4HLu7u5ubm3C3WKfTNTQ0lJSUKBSKo6OjR79fDCVbLJaUajY1NX369AnfO2cpDH0RnnGyNxQKFRUV7e7u7nGCSqXifr8YmgTq6+snJiZEIlFDQwNuvEy5P8VS9Rn2G7PZjNMLJDAdv5mamoL8A+VkRTKcn+rs7LRYLKz8KpUKtznNzs6aTKbT09OmpiaYs729/fj4eHh4GH99WEK4l/ALb62trdxbmVMQvwEAtLS0DA8Pd3Z2wvEE5zcURbW1tbEYDC5Zo9Gw9osf5TcGgwHfX0jpX5zZfvNX+A3DMMXFxXhf4M1hxZ/NbyYnJ+vq6j5+/JiTk8M9uPBsfkNRlPfb0NzcvLm5yToDz2oF67K1tXV0dHR7e/urKy5+a319HXdCwG/BeDp+k0gkqqurfT6fzWZj9SxLyPP4jc/n4/F4VVVVv/76a0tLC2uu5J4P59pvWlpaMswaLCXJJUQgW34TDofxjSG73S6TyZCBNBaLNTU14R5h9/f3AoEAmeAgv8EzRKPR+vp6/BTAM/hNMpnU6XTHx8c6nQ7v+3g8rlarcQN7IpFQqVT4MUIuv4HfGIBmJ3wSZRhGIBBkcN19Kr/p6enR6XTptsyz4TcymQxvL+zLWCyGLFhPfb5Z/jewODzAggxLLJkrKytobxEAcH19bTabu7q6LBZLX1+f1WqdmZnZ2to6Ozvz+XzJZDKb/SlWFazLbPxv9vb2ns1vuLtUcGHH5Tdwl2pra2t0dHR5eZnVlVx+c39/H/o2KBSK6enpb9NCkUgkQw/CD3yjlw6Bk47f1NTUtLe3s3RDpQAAGfjN1tbWx48fkW0V9m9paSly0YWfY2hpaTEYDDabDYqdmpqamZkRCATIdRemZ9AhHA6bTKbW1lbcLIeUTCaT3Paiuzi/sdvt79+/R2c2cX4DAIDOeSmrgNa4lpYWhDzDMLOzs4WFhagirv8NPPCCMlxdXb1//x63eJnN5qfyG2RjQGJhJBaLXV5eIvXgVvvnz5/RGAW3blml0OXz+E0sFuPxeGg3H0lDkUf5Tea+Q3JS+t+gVSjKxorY7fYvX76YTCbWZlMwGCwtLUWWOVYpeH6KVQTlMZlMGxsbPB6P9cEOlAFGnsdvRCIRfDzwfkSSH+U3FEXV1dWlG4qRHBJhIZAtv/F4PHV1dfPz8+FwGHra4+yBYZiNjQ24xZhMJkOhkE6nk8vlyDYD+U15efni4mIikQgGg0ajsaamBh9xnsFvoFe5QqGorq5mMeKTk5PCwkL4adR4PN7X11ddXY08ggEAJpOJ5VQIAJiamqqrq2tsbGQ9hTs7O1++fNna2oIvrcPh2NjYQHmeym/u7+9FIpHFYoH6wA/8IP2z4TeQRuA+xW63u7KyEh9hWT2d+fIZ/CazQO7d/zJ+w20gSmHxG8jCRd+GkpKSqqqqb9NEJpMp3SQHnZBaWlqQSwT8qqnT6by4uKivr9/a2oI/1IUeS5/PxzJhIg1hZHx8XKvVXl5eopP119fX8J1NJpNtbW0NDQ03NzcMwzgcjtLSUvwrBtCX/CsvQV5rAICDgwOxWPz582f8vZ6enob7Vqzaof5SqVQkEp2eniIdrq6u4PSWSCS6urqMRiO3IEzB+Q1FUaurq+glYvGbaDTa0NAgl8uhg3YwGBwcHESjgdfrra6uNhqNodB/KObc3Fx1dXXm8+FfTwj+9ttv8MAd/P5KRUUF/vY9ld+sra3V1dWlPH8UDAZlMhn8/T6apv1+v0wmw4/Eb25u1tfXo35nwfU8fpNIJPLz82dmZm5vb91ut8/nY7H/zPwmkUjU1NSMj49noKdQTy6/8fl8EokEeauwmgMvKYoqLCxMycDW1tYqKysdDgekfdvb27iodPYbAMDu7m5jY2NBQQGatlJW/Tx+I5VKW1paLi4u3G63x+PBzb3Z7E9tbm42NzezuiCleiQRRyBbfgP3d/h8/sePHz99+mQymbhrsuPj44qKiry8vJycHIPBgHdhMplsb28PhUJqtTo/Pz8nJ0etVuODIABgZWXl6+OFK/flyxeWv6FEImHtOvv9fh6Ph58zRxK8Xm99fX1eXt6nT58UCgVrrN/Z2cnJycFNSgCAq6srHo+X0hXX4XCUlZXl5+fn5eVVV1fjHxJsb29HC0dYu0gkwm0bc3Nz6OtwMIPf71coFJ8/fy4oKMjPzx8bG0NLlru7Oz6fj0ZquN2u1WpRBgCA0+mEQ3BTUxOc8K6vr/Py8li1ICgejaTjN2q12m63u9MEFqSZa/nx+Y3X673jhM6HkLlprLssfsO6++xLmqaNRiO+J9jf35/7bdBoNNkPgvPz89+Wzi0sLMS9Gb6eaP06zRcUFJSUlHCdkGiaHhgYEAgEqEV+v18kErF+qHV+fv79+/cpvbu+LhLy8/NZOuTm5kJTcTweb2trQ2cwUS0ocnBwwDpjgm719/ezDkwxDPPVBzk/P//r/kV+fj6LSrrd7urq6pycwZcj0AAAIABJREFUnNzcXI1Gc3h4iG98wA8rI3sJrMVms31+CGKx+ObmpqOjAzfxWq1W1vKpuLgYpy92u12j0aDpf3Nz8927d+kcLILB4Ndffs3JycnLy/v8+bPFYsFHg8XFxaKionT9HgwGVSoVa7AFAKjVavx0qsfjaWlpQfSaoqi+vj44mOfk5Hz69On9+/ednZ2oXoPBgMzzEBCDwYCGa4qi4AlKJBB1DSsCj7/h/rzwV0e4O2KsgvAzQkgfdJdhmM3NzdLS0vyHUFtbi4/n+BlAVARG4FTyqA8vfpAFSVhdXZXJZOgyEAgUFxfj1q+vK4fPnz8jPN+9e1ddXY2+R2yz2dBpPiikp6cHnfOiKIrP53NfQFQdiaRD4An8Bp76DoVCGR5ZmqYDgUCGDPDEbwZflnSKPi+dYZhgMJiuumAwyH09MlcUCATSSctcMOXdaDTq9/vRGJcyT7rERCLh9XrxpUYwGHyeKLh24R6JpChqbm4O7jp1pQr4+dJ0eqL029tbuVz+bA3hllBPT09mT+GTkxP8nD+qPXMkGo2aTCZzqqDVavF1eWY58K7f7+/u7uYuALIpmznP/v4+Poxmzvwid+PxOOsxe4ZYrVaLT+3ZS4jFYvgTnn3BdDnj8bjH40n31odCIS4PSCcKWtTwdUiGnNnc6ujowAkHt0gkEvF6vdzRlaKoJ6nNlcxNWV5ebmtri0QiyWQykUjc398fHR19+fIFPyLOLYWnXF5eom9f4enZxJFpLZvMKfMwDOP3+58kB35P+UlFUlbNTfR4PNXV1VdXV/AkfywWc7lcJpOpra0tm/HQ4XBIpdJ0/JVbHUlBCDyN36BiJPJfhgBFUSkHfXiAk04T0pnEU4JD0/RfH4Xj8XjmSp891sNxPJEqPHVkYRgmJZgpYXlSIk3TJpPpewzBT1LjSZnn5uZY1scnFf8fybyxsSESiX6cnuXz+azDevF4XC6X44aWDF0Dt+C5PoIZivzjtxYXF1kuUy+l0uLiolgsZknb3d39etgzG36ztraG+72x5JDLDAgQfpMBHHKLIEAQ+EsIxGKx9vb278T2/pJmP1LhRCLR39//19n/C7apr69PKpXe3t7GYrF4PO7z+ebn51UqFe51kKG6tbU1tFeVIduPcIuiKKfTabfbhUIh/oGiF9Tt7OwsPz/f4XCEw+FEIhEKhU5OTuAH01+wFiKKiwDhN1xMSApBgCDwYghktre9WDU/uaAfDaVYLDY2NqbRaJRKpUql0uv1Y2NjmbeG8R740ZqD68aK39/fWywWnU63v7//VEstS1S6S4ZhdnZ29Hp9S0uLQqHQarVdXV3QAzpdEZL+IggQfvMiMBIhBAGCAEGAIEAQIAj8QAgQfvMDdQZRhSBAECAIEAQIAgSBF0GA8JsXgZEIIQgQBAgCBAGCAEHgB0KA8JsfqDOIKgQBggBBgCBAECAIvAgChN+8CIxECEGAIEAQIAgQBAgCPxAChN/8QJ1BVCEIEAQIAgQBggBB4EUQIPzmRWAkQggCBAGCAEGAIEAQ+IEQIPzmB+oMogpBgCBAECAIEAQIAi+CAOE3LwIjEUIQIAgQBAgCBAGCwA+EAOE3L9kZDMPEYrEnfbszkUg86RcEGYb56z/wCX9r6SVbTmQRBAgCBAGCAEHgR0Lgb+I3FEUtLS35fL4fqe3/0cXtdj/pR7Az6+/3+y0WS8pf20kmky6X6/r6mnV3cnJybW0ts1j8biAQqKio+IvfEV9fX5+fn8fFAgCCweBt+vDXSRWrOnJJECAIEAQIAgSB74fAM/lNPB6/urrK3lCRSCQkEsnR0VGGlgQCgbOzswwZvset/f39hoaGLCXTND04OKh7CPCXWWBcr9fv7e0BALxer0qlisViuMBkMjk9Pc3n88VisUKhqKys7OzsDIVCME9PT8/MzAyeHwBA0/TNzc3k5GRXV9fg4ODu7i76WTufz/fbb79lNvm4XC6omE6nUyqVra2t8LKjoyMYDAIAZmdnR0ZGWJUODw/z04TS0tLe3t7su5slmVwSBAgCBAGCAEHgb0bgmfzG6XQKhcLMsyzekmz4zczMTFlZGV7qb4g/id8wDHN1dXXyEKxWK5/Ph/GTk5NAIJCO3ywtLTU3N9/d3cHmRKPRsbExs9lM0zQAICW/WVtbk8vls7Oze3t76+vrnZ2der0eWlCy4TfRaBQqdnR01NjYODMzAy/Pzs4SiUQ6fpMB7Z2dnf7+fsJvMkBEbhEECAIEAYLAD4UA4TdPsN/gPTc3N1deXo6npOM3Wq3WZrPhOaPRqFwuj0ajKflNMpksLCy8vLxERZLJpMVigTtK2fAbVDAej0ul0uXlZZQCIyntN6w8+OX6+rrVasVTSJwgQBAgCBAECAI/MgIvyW8YhnG73ScnJxcXFyx3DWi/OT4+jsfjNzc3x8fHLpcLGjAQOo/ab5LJ5M3NzcnJyfX1NbRDAABgpSynFpqm/X4/Lj8cDp+fn5+cnNzd3eF2iCfZb5CqNE13dXW9fv2a5VGUcn9qa2tLJBJdXl5Go9FYLOZ2u3t6egYGBqAaXPvN6enply9fcCUBAGtrayaTCQDwJH7j9/v5fL5cLseheIb9ZmJiYnp6GjWfRAgCBAGCAEGAIPCDI/Bi/CYWiw0ODgoEAr1er1arJRIJ7kwD+c3GxkbbQ9Dr9UKh0Gq14rN4Zn4TDAZ1Op1cLu/s7FQoFGazGbqkMAyjVCrn5uZwoG9ubjo6OhAHury8lMlkOp2uo6NDLBZvb2+jzCx+E4/HrVbr0tISypAycnd3p1AohoaG2traUC3p7DcMw2xubppMJq1W29bWZjAYpqen7+/voWQuv3G73SUlJSwnnrm5uf7+/qfym4WFBZPJxOPx8CY/g98Yjcb19fWUUJBEggBBgCBAECAI/IAIvAy/YRhmfHycx+Mhs83CwkJ5eTk65gP5zatXr/b39yEKTqfz06dPq6urCJQM/IaiKKPRaDabER9qbW1FM+7MzExdXR2qC276oP2UQCDw66+/ogn+7Ozs48ePiF6w+I3f76+qqhIIBEgrbgS2ZWpqimEYlUo1OjqKqubab2gsUA8h+RASiQS0OXH5DQCgubl5eno6mUzC0uFwuKGhAfLFLO03DMOcnp6WlZU5nU6v18vj8c7OzhB6rP0pn8/XmzGUlJSo1ere3t6DgwMuICSFIEAQIAgQBAgCPxoCL8NvotGoQCBgGWykUmlfXx9sMOQEOzs7ePuHh4fr6+uRk3IGfuP1epubmxF5AgDs7e2p1WooLRaL8Xi8i4sLdFlcXHx6egp3r8xmc2dnJ16vSqUaGxuDKSx+wzCM0+mEh4zwIjDOMMzW1lZra+vQ0BBkJ4FAoLu722g0Hh4ecu03DMMsLS319PT09vZ2d3dDy1MnFpLJZEp+4/P5tFqt0Wjs7e21WCwymWxhYQGyqGz4TTAYnJiYUCgUDocDan5wcKDX6/v7+6EfNIvfhEKh5ezCzc0NFxaSQhAgCBAECAIEgR8NgZfhN4FAoL6+HucfcBMEnYeC/IZ1Pvzy8rKoqAjOuACADPxme3tbo9H4/f7gn+Hg4KC+vh6h2dHRgU5Zr66uVlVVQTYQi8VEItH5+fmf5f7zf3h4uK2tDZZl8RskMGWEpumJiQnWwXiKom5ubiC74tpv7u7unE4n/KzM5uZmdXW1z+cLh8OxWCzD+SkAQDwed7vdV1dXNzc3gUAAmV6y4TdOp3NqagodQYdtub+/39vbg33E4jcwg/8hwDjrbzQa9fv9rERySRAgCBAECAIEgR8WgZfhN2dnZ83NzSyXEbvd/u7dO+iekpLffHX1zc/Pd7vdEJ0M/GZ4ePjt27clJSWlWMD5zcHBgUqlgl+OEYvFi4uLUKbf7//y5UtxcTFW7j9Ri8UCMzyJ38AiDMNE0gS/37+3t4e2q2B+9Pfi4qK+vh5uOU1MTIgfQkFBwZNcd7PhN7DGRCKRRs3I+fk5fj4L5rdYLN3d3UhbPLK/v9/d3Y04Fn6LxAkCBAGCAEGAIPADIvBMfnNzcyMSidDWks/nEwqFyKkFtnNxcbG4uBhOiin5jcPhKC0tRV+uy8Bv1tbWdDpdOt4AAPD7/SKRKBKJOJ1OPp+PjlNFIhGBQOByudJB/wx+EwgETGmC0Wjs7u7GPY5hvUdHRxcXF9fX1xKJBJpt7u/v7x6C0WjE+U0ymfT5fB6Px+VyOZ3Oy8vLw8PDjY2Nubm50dHRkZGR09PTR7/vByuFR65Saop7LyFkLBYL/AAgbuuC8dXVVcJvEFAkQhAgCBAECAI/PgLP5DcXFxdNTU2IcNzf31dXVyNLDHR8aWlp0el0EIKU/KatrU0ikSCMMvAbt9tdW1vL2v9CBWF1HR0dExMTy8vLuBGCYZi2tjZ4shrPj+LP4DcMw0TThJubm5aWFpYdCwAwNDQ0MzND0zT31sLCwu7uLtLn9va2vr6+tLS0vLy8qqqqvr5eqVR2d3fPzMzs7+97PB63250lv0kkEmnUjE5OTnK/X2yxWN68eVOYKuTk5BB+g/qIRAgCBAGCAEHgx0cgW35zfX2t1Wpvb2+TyWQ0Gu3p6cFPM9E0PTQ0pFQqPR4PTdOJRGJ1dbW6uhq5gEB+YzKZ4GdvEonE5uZmQUHB9fU1wmhmZqakpOT+2wBNRIlEQqfTQfdY5iF4PB4kHEo4PDzMy8trb2+Hrr5I7NXV1YcPHzY2NqBRJx6Pn52dIcuTw+EQCoUoczKZ3Nragr7JKDH7CNf/BpYdHBzEjTTZC+TmzH5/ilsWpaT0vyH7UwgfEiEIEAQIAgSBnx2BbPlNIpEYHR2tra0VCoW1tbWNjY2sTZ9wODw4OFhTUyORSIRCoVgsxs8SQ34zPz/f0tICM4hEItxuAf2Lf/vtt5pvw8rKCoTY5/MZjUb4tbrm5maxWHxycoKjT1FUUVGRUChEDsvo7uHhIaxUpVI1NDRoNBq0KXZ7e1teXo6OUwWDwaqqqubmZlT2SRHCb54EF8lMECAIEAQIAgSB74RAtvwGVs8wzM3NTYajNBRFXVxccBkG0h5KYHEjdPfRSCKROD099Xq9z/B1DQQCh4eHiNmgukKhEO5s6/V6uQ40KHPmiM/n02g03E2owcHBP/74432awP2dhwy1+Hy+V69eIftThpwZbkFvHlaG3t7ewsJCUapQWVnZ19f3DMxZVZBLggBBgCBAECAI/D0IPI3f/D06/by1xOPxo6Mj5JaEGpJIJMLpA8svG5VKGYnH4/Pz86zfW0iZM0Oiy+XifsnG7/efpQ8ZSG2GisgtggBBgCBAECAI/CMIEH7zj8BOKiUIEAQIAgQBggBB4DsiQPjNdwSXiCYIEAQIAgQBggBB4B9BgPCbfwR2UilBgCBAECAIEAQIAt8RAcJvviO4RDRBgCBAECAIEAQIAv8IAoTf/COwk0oJAgQBggBBgCBAEPiOCBB+8x3BJaIJAgQBggBBgCBAEPhHECD85h+BnVRKECAIEAQIAgQBgsB3RIDwm+8ILhFNECAIEAQIAgQBgsA/ggDhN/8I7KRSggBBgCBAECAIEAS+IwKE33xHcIloggBBgCBAECAIEAT+EQQIv/lHYCeVEgQIAgQBggBBgCDwHREg/OaZ4FIUdX19/aSfnPT7/U/6qSkAgMvl+os/NeX3+7k/KfrMNpNiBAGCAEGAIEAQ+EkQeCa/YRjmST9hnUwmu7u7r66uMsBC03Tiz8D9icoMBdEtr9fb2dkZj8dRyrMjNE3f3NycpwqhUAgA4PV6X79+zdKTYRiv17u2tjb7EFZXV91uN+JAGo1mfHycqxLDMD6f7+rqyu12s5Svrq7O8GPsAIBQKJRKx3On0wl1MxgM6+vrrEr9fv9a+nB0dMTKTy4JAgQBggBBgCDwcyHwTH7j8/ksFgtrds/Q8kQiIZFIMk+cOzs7dX8GgUAgl8ttNls0Gs0glnXL6XSKRKInFWFJQJfxeHxycrLnIZjN5vLycrPZDC+Pj4/T8RuXy6VUKmdmZhwOx8HBwfz8fEtLC2J1KfmNz+fTarVSqdRoNLa2tiqVyouLC6TGo/zm5OQEatXT01NWVqZWq+GlzWaLxWIAgJT8ZnV1VS6XL6UKHR0djY2NSAESIQgQBAgCBAGCwM+IwDP5jdPpFAqF2ZtwsuE3MzMzJSUl9w/B6/VubGx8+fJFIpHAeTobcF+Q3+DVhcNhHo/H2lpKab8ZGhqamprCyy4vL/f29sIULr+Jx+NKpXJ4eBjZeLa2tkpLS8PhMCzyKL/B66qoqNjc3MRTMvCboaEhVk54ub6+TvhNSmRIIkGAIEAQIAj8RAj8WPymrKwMxy6ZTNbV1R0eHuKJGeLfid/s7+8XFBS4XC686nT8ZmJiApEVAMDCwkIGfuN0OlUqVSKRQJIZhuns7ERFsuc38Xj8zZs3w8PDSBSMpLPfEH7DAopcEgQIAgQBgsB/EwIvyW9omp6dnW1tbe3q6jo9PcVhgvab09NTn883PDzc0tIyPT3N8jWZmZlh8RsAQHt7++LiIhJFUdTu7m57e7ter9/e3kbpMJKS3/j9fqvVqlarrVYryxSEExGWKPxSpVLxeLy1tTU8MSW/cblcIpFofHz89iHMzMwIhcIM+1MnJyednZ0sD+LFxUWFQgHryp7f2O32iooKsVjM2p4j/AbvNRInCBAECAIEgf8RBF6M37hcLoFA0NjYaLPZ+vv7KysrbTYbAhHym4GBAZFI1NfXNz093dDQIBKJ0EYMAIDLbxiGaW5u/mo+gXKSyaTZbK6trR0bGxsfH6+qqmptbcW3jbj85vz8vK6urqura3FxUa/XV1dX397eQmnxePzDhw89PT1ISW6EYZi9vb2KiorT01OZTObz+VCelPwGABAIBKxWq1KpVCgU/f39d3d3qAh3f8rtdre0tOBNSCaTGo1mYmIClsqS39zf37e0tBwcHHR2ds7NzeGEKR2/aWtrg05CB9+G/v5+sj+FuoxECAIEAYIAQeAnReBl+E0ymdTpdL29vWir5fz8nMfjISsO5DdtbW2IItzf3wuFQovFgoDD+Q08UjQwMFBfX48owtTUVE1NDboMBoNSqXR4eBhN5yx+Q1GURCJZXV2FVTAMMzU11d3dDfPH43GNRrO0tJTBimO328Vi8cnJCU3TS0tLQqFwc3MTeh2x+A1FUTc3NxcXF2dnZycnJ4eHhzs7O8vLyzabzWq1Dg8Ph0IhLr9JJBJ9fX1KpXJ3d9ftdp+dnXV1dSkUCsR4suE3oVAIgk/TtMfjgS7Gfr8ftjolv3G5XOPpA9eJB/URiRAECAIEAYIAQeCnQOBl+E04HK6trUXMA7a8u7tbIpHAOOQ3LE+anZ2d8vJytJ8yMzPzyy+/5D6Et2/f/v77742NjUhmIpH4/Pkz66jz7e2tSCRC33dh8Zu9vb2amhrcCdrn86nVarRLRdN0OnITiUS0Wi1u72EY5v7+Xi6XQ5MPi99Eo1G1Wl1fXy8SiRobG6urq3k8Xl9f38LCwuHhod/vZxiGy28AADRN2+325ubmwsLC2tpadO4J4paZ3zAMs7W1VVBQsLCwgM6yJZPJ+fl5Pp8PqWRKfvNTPJpESYIAQYAgQBAgCDwbgZfhN9DvBPEMqM36+npubi40lkB+wzof7na7CwoKkEVnZmamoKAAfs3FbDZrtVqcfLhcrnfv3iGzBKwiFAo1NDSgL8Sw+M3g4GBVVZUNC8PDw01NTcg6AoWk/JtMJre3txFpQHmSySSkR4FAoLq6GpmOUAYY2dnZ6erqAgAwDHN6err/EKBrDitn5svM/AYAcH197fF4uEKi0SjUzWq12u12lCEQCOzt7e1kEVKKRXJIhCBAECAIEAQIAj8yAi/Db66urhobG5ElBjZ4Z2fn/fv3kCKk5DdOp7OwsBBZaPD9Ka/Xy+fzT05OEHbX19dv375lUZNQKCQSiRDpYfEbi8UiFAq3vg2Hh4dc1oJqYUWSyeTJyYkjVdjb25ufn8cZGF4W8RuaptfX16cfQlVVVcrv++EFWfFH+Q3M73K5Uun4n7S1tTXEIAEAbrd7enp68tvw6dOn7u7ub9Mm8c/wsLQilwQBggBBgCBAEPjBEXgmv7m+vm5oaEBEIRQK1dfXB4NBvLUTExN8Ph+mpOQ3q6urPB4P7R/h/AYAMDk5+fnzZ3TG6v7+/uPHjzjjAQD4fL7GxkbkpMziN8vLy/X19elMLLiq6eL39/cdHR0tqYJYLP66m4YQgBIoijKZTLe3t8fHx6wP4QAA2traJicnUV3RaHT7IWxsbKysrMzPzw8PDxuNRqlUWlVVJRaL4/F4lvwGfkgwlZotBQUFrJNfSAEUycnJuby8RJckQhAgCBAECAIEgZ8dgWz5TTAYxL1n9vb25HI5og7xeFwikeDOMaFQqK6ubmFhAQIE+c1XZxGEVyQS4fP5+FdYWPwmFotVVlYODQ3BWhiGaW1tVavVyIWZYZiBgQGDwYAYEovfBIPByspK1qYYUgAAEI/HWQQFv5s5zvK/gZkpimptbUUHwlkSDg8Pb25uUGIkEhkcHBwaGrJaraOjo5OTk0tLS3t7excXF3d3d7CZWfIbJJMbycb/hvAbLm4khSBAECAIEAR+agSy5Tcej6empsZms4VCoZubm+rq6unpabzl29vb+fn5i4uLiUQiGAyq1eqWlhbEHiC/KSwsnJmZicfjgUCgra2ttrYWmWdSng/3eDw8Hg+d6I5EIjwer7e39+vR7mg0+vUjeAUFBdfX10gNaEbC97AWFhZ4PN7x8TFN08lkcnl5GX01Jx6PFxUVDQ4OouJPijyD3zxJPsxM+M0zQCNFCAIEAYIAQYAgkC2/AQCcnp42NTUVFRWVlJT09fUhOwoC8ezsrL6+vqysrKSkxGKx4O7GyWSyq6srHA4bDIby8vKSkhKDwcDy19nY2FAqlUgajAwODuLf9wsEAmq1uqSkpLy8XC6Xs3bEAADNzc2zs7NICMMwa2trlZWV5Q9BoVAgC0o0Gi0tLR0cHEznQ4OEpIxk4DfLy8tnacLt7e2TqiP8JiX4JJEgQBAgCBAECAKZEXgCv4GC7u/vcaMLSzrDMKFQKHOG+/t7nPqwJGRzeX9/Hw6HUxKFeDyOjn8jUQzDBINBFp0CAESjUbS3hTJnGQkEArW1tWiHDpaiaXpra2sofVhaWkI2rWwq0mg0yLsom/zcPCMjIw6Hg5uOp3z1JWL9+gR+l8QJAgQBggBBgCDw0yHwZH7z07Xw+ymcjqkw6cNTlUlXRfZyMnzjBwmhKColWUQZSIQgQBAgCBAECAI/FwKE3/xc/UW0JQgQBAgCBAGCAEHgcQQIv3kcI5KDIEAQIAgQBAgCBIGfCwHCb36u/iLaEgQIAgQBggBBgCDwOAKE3zyOEclBECAIEAQIAgQBgsDPhQDhNz9XfxFtCQIEAYIAQYAgQBB4HAHCbx7HiOQgCBAECAIEAYIAQeDnQoDwm5+rv4i2BAGCAEGAIEAQIAg8jgDhN49jRHIQBAgCBAGCAEGAIPBzIUD4zc/VX0RbggBBgCBAECAIEAQeR4Dwm8cxIjkIAgQBggBBgCBAEPi5ECD85ufqL6Lt/xwC3N9T+5+DgDSYIPC/hMCzfxXxfwmkrNpK+E1WMP33ZXrqb4tSFHV/f/8kHFL+1umTJNA0/Rd/ivVJ1cHMwWAwkUg8o+D3KOJyuQwGw/eQTGQSBAgCPyACFEWNj48Hg8EfULefTqW/id9QFDU7O+vxeH5kgFZWVgQCgUwm+1+gzz09Pbu7u9zuYBjm7u7u/Pyc9YKdnJzU1dVx82dIsdlsVqs1Q4ZHb/n9fq1W+2i2l83Q0NBgt9txmQzD3Nzc7GcM3+PZpmm6q6trfn4eV4bEvwcC29vbq6ur30Pyf4fMSCRisVj+/sXGfwd6rFbE4/GBgYFAIMBKR5c2m02v16NLEnk2As/kN7FY7Pj4OPsfnU4kEhKJ5OjoKLOikUhkf39/ZGRkdHTUbrdneAK4chiG4f7a9sjIyNraGjczN+Xg4ODjx482m217e5t796kpLE0SiYTVat3Y2HiqnGfnPzg4MBgM7Q9BIpFoNBoYHxkZiUajAID29vb19XWWfLvd3tzcLJFI9Hp9Y2OjXC4/ODiAvexwOIqKilj5AQCBQGB5ebm3t9dsNo+NjZ2dndE0DbMNDw9bLBZuEZSSTCanpqagYm1tbU1NTTDe3t6+tbUFAPD5fBKJBOVHkZycnPLy8kpO4PF4Hz58QNnSRba2tmZmZuawsLCwgKxTPB6P9QzQNL20tIR00+v1JSUlX758QSnt7e1csnh6emqxWAbThM3NzXTqofS7uzupVIrvT9E0HQqFzh4C6+1jGObi4iIcDqPi3MjZ2VkoFOKm/50pwWDw4OBg8iGcnp4+aS1xdXW1v7/P1dbv929ubv6V2be7u1un0yHJZ2dnLS0tLIqP7v4NkUgkcnx8bLPZRkZGtra2MncrSx+3231zc8NKBADs7e3Bdx/estlsU1NTrJGKWwqm+Hy+N2/e3N3dpcuQfXo4HD44OMimXoZhDg8P3W43SzjDMAcHBy+iDEsy9zIcDh8eHqIxDWXY2dnBp6fNzU2j0YjDi3JyI/f393l5edfX19xbMCUYDL57947b8HT5SXo6BJ7Jb5xOp1AozH5syobfRCIRmUymUqmmp6dtNlt7ezufzz84OEinOiv96uqqp6eHldjf37+4uMhKTHk5MjKiUChS3npqot/vHxwcxEvF4/G+vr6lpSU88bvGw+Hw5Z+hqKhofHwcXrlcLviucvnN/f19ZWXl6ekpVIxhmOPjY7VaDWfElPzG7/er1eqBgYH9/f2jo6OVlRWFQoHWwY/yG4Zh3G43VGxpaenVq1d/qnwJx450/KaystLlciU5we/3C4XCR4GVSCQ9PT3rf4a1tbXm5mY0JXD5DUsgRVFCofBRa9YJ5YXCAAAgAElEQVTs7KxIJEpn9MkwuqHqtre3e3t78bF1f3+/ubk5JydHLBazZohgMPjmzZuZmRlUnBuRy+V7e3vc9L8t5fLysqmpyWKxLC4uzs7ONjU1Pck6ZTKZ/vjjD7/fz1J4ZGTk3//+9/n5OSs9+0sWvzk6OpLJZD6fL3sJL5jz7u5Oo9HodLq5ubmVlRWtVtvW1sbq7gzVjY+P9/T0sOgvACAvL+/q6goVhMvILMfwl+I3DMOo1Woej5clY9PpdEqlEukMI36/v6SkxOl0stK/x6XD4aipqcHXGLCWd+/e4UuU5eVlnU6XZaMe5TcAgP6H8D1a9D8l8wfiN1artbq6Gr3GcFMg+4d4a2ursrKS1Xncl5yVAV329vb29/ejy78SOT8/FwgErKpZl39F/pPKMgzz/v177rTH5Tenp6fV1dW4nvF4XKvVwp2XlPxmYmJiaGgIL3J9fZ2TkwMHzUf5Dd6QnZ2d//u//4vH43hiOn5TVVXl9XrxnDAeDodFIhE3nZUil8txcwtN0zqdLkt+wzCMVqs1m81NTU1dXV1421m1zM7Otra2shKfdGk2m6EdC5ViGIam6dPTU6lUit4UdHd+fj7zmu+f5TcMwywvLx8dHSHQDg8Pi4qK0CVqSLpIV1dXbW0ta/HAMExbW9u7d+9ekN8AALLXKp22z06PxWLX19dIgVAoVFtbi57PR8VmyW+Yh/CoNJjhpfjN/Px8YWGhQqHIkgocHBx8+vSJlXl3dzebZUyWTcucLUt+86QHJht+k0gkhEIhazzMrCq5y0XgJfkNwzDX19d7e3tHR0e47Q4AAO03x8fHsVjs7Oxsd3f36uqKNUCrVKrOzk6uinhKLBa7vLzc2dmBotAtv98/MjJSWlp68RCQndDv96N9B/gIut3uvb09u92OL858Pp9Op9Pr9RcXF0hzhmG8Xu/R0dHu7q7T6cSX0bBeiqIuLi52d3dPTk5gLdB5ZXZ2trKy8uLi4vLyEqX7fD6kFVIb2ur39vZub29ZaMTjcbfbzTBMIBA4PDy02+3P21m4ubn5+PGjVqtlyefyG4qiGhoaFhYWAoFALBbz+XyLi4tarRaa/VPyG6PRyNrKYRimpKTk4uICAJA9v2EYZmBg4P379zjtyLA/9b35jdVqdTgcOLdOJpNut3t1dbWtrc1sNkej0XA4DPenNjc3fT4fC14AwF/nN3w+H5nT0DMDADg/P0/Jb/A8KeOP8hu/339wcLC3t+dyuXAJgUAA36xJJBI3Nzd4k4PBINesgktIGQ+FQqWlpbe3tynvchM7OzunpqZKS0vx9bTb7VYoFMXFxVx+4/V69/f3HQ5HSt08Ho/dbnc4HHd3d729vfj+VDwexw1syWSSRS9isRhuCwEAOJ3ORCIRiUROT08PDw8hXAzD+Hw+u91+fHyMw8VtWoaUZDKpUCi4u8npimTJb4LBIBrroCiKoq6urnZ2do6OjuBAilqN+E0wGDw6OrLb7SkhTacSTHc6nVVVVbu7u1KplEVZ0hWkabq0tJQ1yAwNDY2OjuJF4HO7v7/P4vewRQzDOJ3O3d1duKXl8XhYQ3Eymby6uuKO8ACALPlNJBJhPcYMw3g8nr29PYfDAcG8urqCfAXxm0gkcnZ2xn3dYNOEQiGrOXiTSTwbBF6M30Sj0a6uLj6fbzAYNBqNUCg8Pj5GGkB+s7a2plAo2trajEZjbW0ty4g6NDRUWlqaYRbf3d0ViURKpdJisTQ1NalUKrTEmZ6erqmpefv2rfohoJGuv78fHxe2t7dramra29s7OzsFAgHayx8bGyt7CGq1GvrrhEIhs9lcX19vMBj0en1NTQ1ujQQA+P3+lpYWgUDQ0dGhUqmkUqnf74cOJXV1dR8+fFCpVBqNBoJAUZTJZGLtte3u7lZXV6vVaqPRKBAIhoeHEVwAgLOzs+bm5v39falU2tHRIRaL+Xw+PscsLy8rFAp8oMeLwzhFUWazeXJyUqFQnJyc4Bm4/AYA4Ha7h4aGNBqNTCbTaDQjIyPITJKS3/T09LA23SKRSF5eHhz7suc30E7jcDhkMhnOR9PZbyorK+F0kvg23N3dCQQCvJkp44/ab9Rq9eDgILKdRCKRjoewtLR0eXlJ0/TCwsLJyUkymTw7O5udndXpdH19fay6/iK/icfjubm5KQe478Rv9vf3BQKBRqMxGo18Pn94eBiN+HNzcyaTCTXw6OiorKwMudMxDGOxWNC+JMr2aCQQCJSUlKBnLBQKGQwGJJZb3Gg02u32pqYm9OZCT7Lx8fGKigr01sOCy8vLAoGgs7PTYDA0NjZeXl4igTRNz87OVlRUtLW1GQwGsVhcV1eHe7Kfn5+Xl5ej/B6Ph2XaPD4+Zrmj1dbWbmxsqNVqvV7f0tJSU1MTCoWWl5clEonRaKyqqmptbUV4IsnZRILBYF1dHWKcNE1PTU2NjIykK5slv+EKGR4elsvlcATIy8tTq9Xd3d1wjIX8ZnFxETrJSaXS0tJSxH7SacJKNxgMExMTfr9fLBbj/GZvbw8Hn1Wqr68PnylompbL5TjvPzw8bGhoMBqNJpOppqYGd0gIBoP5+fl2u10sFuv1eofDAQCwWq1zc3N4LQcHB3V1dWg2wW9lyW+2traamprwghsbG42Njf39/SaTqaSkRKlUdnR0wE6E/GZnZ0elUmm1Wo1Gw+PxDg8P8eIAAIlEcnZ2xkokl09C4GX4DcMwIyMjfD4fTU7Ly8vl5eVo9oX85sOHD2iOd7lcubm5+OyYSCSqqqqqq6tPTk6i0Sj3aVtaWkKTNHQWwX2HZ2ZmuPtTRqNxYWEBIZKfn49G4bu7O6QeAIC1PxUIBObm5tCSa2dnp7GxEclJJpNarVahUMCNGOjaidwb19bWWPtTyWRSpVLhxomvo21BQQHyOPZ6vTweb3l5GVVxdHT0xx9/SKVSuMaiKEogEODuugaD4ePHjxmO7dA0vbm5KZVKk8nkwcFBfX09biVi8RuKouJ/hlgsFo1GI5FIOByG6/JYLJaS3xwfHzc1Nfl8vkQikUwmI5GI1WptaWmBrciS30Sj0fb29rGxMQBAT0+PyWSKRCJoVE3pX1xSUvIpTcjPz0cYpos8ym9Y60W4K4SkMQzT09PD4rvoUUHZZmdnNRoNlT6gnCkjPp+vsLCQtdCEOb8Hv3G5XG/evEEPJHw9p6enYUfY7fbCwkI0Pc/MzEilUnTEIxwOC4VC9O6nbE7KxPPz84qKCnTr9va2rKwsw5k7o9G4t7e3srKCJrxIJPLq1SuXy1VeXo7zm/39/ffv36Ml9fr6+pcvX1AffX0TCwoK0Bzp8/lqamrwKfb4+Pjt27e4Yp8/f0bNBwB8NQD/9ttvKMNX23B+fn5FRQUkZzRNK5XKysrKjo4OOER4vd5Xr16h0Q8vmC5O03Q4HPZ4PAaDwWQyodqTyaRarc7g/jU+Pt7Z2fnVHyv0bWD53wwNDXV3d6Par66uampq4MqEYRilUjkwMIDu+ny+f/3rXxKJBPIShmEkEonBYOCO0qgIK+JwOBoaGsLhMJffjI2NvX//Pt1HGW5ubpqbm9FYHY1GhUIhWulFo1EejweJC1yhFRYWIsur3+//v//7v9bWVtza5HA4xGIxUo9hmN7eXu76BGZwOByVlZUej+dbLENv377FR4CVlRUej4dker3eN2/ewAeMYZjx8XE0KgIAIL/58uULegIHBgbKyspYYGq1Wi7pQVWQSDYIvAy/iUQiAoEA7krAWhOJhEKhQPMx5Df4BA8AGBsbq6urwx3c4vH45OQkn89vaGiYnZ1F41HKlnR3d6vVanTrUX5D03ROTk46/0oWv0FiYcTr9VZVVaHnz+l08vl8fAmC53+U3zAM093dzfKG3tra+vDhAzJffd3je/36NV6FzWarra1FFd3f37Ms5OgWtJb39PRotVqYh6bpvb09nU43NDQEp0wWvzk4ODD/GUwmk0wma29v7+rq6u7u7u3tPT4+Tslvksnk8vKyUqns7Ow0mUx6vd5sNqOh51F+Q1HU9va2Vqu1Wq2QHd7f34+Pj+v1+o2NDZqm09lv8JY+Iy4Wi9va2kb+DMPDwwKBAC1Guf7Fdrt999ugVCr7+/u/TdvFjQoAgMXFxcrKyq6HYDabdTqdyWSCl11dXZOTk5k1v7q64g55sMiL8xuaplUqVXt7O3rCAQDHx8e1tbWQXsMRGVlkLRbL5uZmfn4+tLff3NzIZDI0AWduF37XarXiUyxN07e3t+nmOQAA5DfQqx0+MAsLC0qlMhaL4fwmFouJxWL8TU8mk2VlZfDYP03TarV6enoa14TlX/w8fjM1NYVkbm5ufv78Gd8EF4lENpsNZXg04vP5Ghoa3r9/39DQwFrG+P1+1tYSLm18fLy0tFTFCZ8/f8ZHDBa/6erqwk105+fnPB4P9YXP53v9+jVe/ODgoKGhIUsHEafTmZ+fD2drLr+JRCIp7ZSwUeFwuKmpCRn5bDabwWBAD5vRaOzs7ESXcKWKOgLyG7SmhQKhPQxxoEgkIpVKERXGkYT7U+/evVMoFCw4/9//+38Z+M3c3By+2PZ4PL///jtaAMO3CX8+r66uXr16hQZ/qENXVxfrQxUs3cjlowi8DL/x+/0CgQCfjAEA8/PzpaWlUAPIb1iW5+vr66KiItaLyjBMOBze2dmpqKioqqpivdgAgEgksrGxYbFYSkpK8M2IR/kNAGBycrKoqGh6eprLnFLyG+jjPDU1pVQqX79+jR7Q1dVVrkcLwvpRfkNRlEQiQeQdFqQo6vfff0eE/ejo6M2bN0gmAGBzc7OkpARPyRDf39/f2dlBix6YEzoNwDGLxW9isZj/IQQeQlNT0/HxcTQaTSQScOxIyW+gS1MkErm7u/P5fMFgEGerj/KbRCIxPz9/e3uLD0/QhwkON9+J31xeXkLHC8ef4ejoCI3UXH4DT7//Sf/+8x+OqniK2WxGRgWIdjwe9/0Zrq+v8/Lyzs/P/0zwsR57WAT/6/F4CgsLkVb4rRfnN+FwmMfj4esTWJ1AIEDbOmq1Gi1XlEplOByuqqqC9tTt7W2z2YxzI1zbdPF4PM7n8/EpM11OlA75DbSeXl9fUxQll8tvb29Z/Mbj8QgEAkgC4PMcCARkMhnklBRF1dfX4+41AIAX4Tf4PHp2dpafn4+b3yCPR215NELTtN/vd7vdPT09AoGA9S5nKA7tN2FOyGy/GRoa6ujoQGJPT095PB56nZH/Dcrg8/nq6uqyMdolEgmVSjU/Pw+fEC6/QTJTRmia7ujoQCckSktLcWKRl5e3traGejkQCMzOzqJtNb/f/8svv7DIE8MwfX19KpUKVudyueRyecoXDfKbqqoqn8/HgjOz/WZ1dRXf33S5XL/99hvqQchv8CcwFAr9/vvvLD31ev2TDH4p0fsfT3wZfgOdRVD/QUz39/ffvXsH35CU/Mbn8+Xn53MZDCweiUQUCoVcLkdrCL/f393dLRKJ4GZ/V1dXfX096r9s+A38cEJTUxOfz5+ZmcFHHxa/SSaTm5ubSqVSJpONj4+vr6+XlZWhl3lwcJA1mSE1AACP8ptkMikSifDnGxYvKChAO25cfrO1tVVcXIxX9Gg8FosF04Td3d10yAMAZDIZtGc4HA6VSqVUKr9CXVBQ8GiNeIZH+Q3KnEbHoMfjQU4wAIB4PN7T09P4beA9hG/TGjs6OliLIVQXjNA0jXqTdYvLbyCNS7/R9J87mWf3SCRSWFiILFusGlNexmKx3NxctGzF87w4v/F4PEVFRfjrAKsTi8VoTbK7u1tZWZlIJA4PD+EnlQcHB8fHxwEAXV1d+NYqrmq6eCgUqqmpwV180uXE0yG/gWunrq4ul8sFT6ix+M319XVhYSGfEyD/SCaT1dXVrIf/xfnNxcUFi9/odLoMW294M1lxiqKMRmP2n7HO0v+GZb+BpPDi4oKiqGAwKJVK8S0bLr+5u7vLkt/s7u5WVVXt/RmWl5erqqrW1taydy5ZX1+HB6acTuerV6/Qg/p1D/3t27fl5eWsrkb7qpDfcF8il8uFPjRgs9kGBwfTvb9Z+t+w9qe+rl4KCgq2t7eTyWQ0Gu3v78c/PsLlN+Fw+Pfff0cuVvABkEqlrDUw68Egl48i8Ex+c3NzIxKJELu/u7sTCoUs+83CwkJpaSl8blLyG7vdXlZWhh5Wrq6RSOTLly/w6YTbrsPDw6iWycnJp/IbWAVN0/D7Fvgzx+I3u7u7jY2N5+fn0NITCoWqq6vRjLi0tKTX67lGICj/UX4D7Tes15uiqNevX2ew3zyD36yurhrTBLFYjOpCyPv9/vX1dXjgFlpQEokEJB/r6+ssh8pAIHD7EK6vry8uLg4PDzc2NmZnZ61Wq8lk2tnZyZ7fdHR0pFRTp9PhW5AMw9zf37PIECzLSgyHw+kGLNhYj8eD9z5CAACQkt/s7u62tLQo0oT29nbuGIrLfAa/AQBUVlayHhIoMx2/WVlZyaxGuvNT0H6DTDVIc6FQiBITicSXL1+ur6+RD/7l5aVWq00mk6y9aVQ8XSQajULH3nSL5nQFEb/x+XxFRUVLS0vQbYvFbzweD5/PT/cAUBRVW1uLtidgXZn5zdePLX3+/BkNd+n8b3D7zQvyG7hkysvLSwcLK/15/AYAoFarZTKZWq2Gzjf4yPxX+M3JyckQFiwWS3FxMfdoAqsV+OXXn0zJycnxer1jY2P4MTeapvPz8/ElEF4KngL55ZdfUr4USqUSbmMJhULkvsMqnv35KRa/gRbBuro6jUbT0tLy9btN+NomS34jFArT7Zpx9SQpKRF4Jr+5uLhoampCE3wkEqmqqsLpJ8Mwcrm8vb0d1pqS38DXCWZgGIY72MViscrKSmjJPzk5+f/snfdfGsv+///cz/3cc+/J55TcnBRjjA1FlCIiIgJiAbsIdixYsGHvXQQRBJRetsw3H+eR+c5nFwkYk5wkMz/o7OzslNcuu899z3tm37x5g/eBwzd2ux03CcKcHP9i/HCPx/OPf/wDXXY430AHUnzlMQ7feDyeqqoqNFyFFwsA2NjYkEgk+JgLx7+YZdmenh7Ocju7u7u//vorsjo8if2G0zB8kzM+BXc5nU6j0Yi3HB3idrvxOwsAwGKxFBQUvH379v379wKBQCqVGgwGq9W6tbXl9Xopisqdb1AtnEggEMjoX4xnM90HPCWX+IflCTiXEzqKM8qG0uF6IRn/NjY28gd30IFwUDVf+w0AoKOjY2dnBy8HxjPyjc/n+6//+q8s02oAAA/xDcuy9fX1+PAEdOGqqKjAV4k1Go2rq6vPnj2D7xjRaLS5uRkOZCAjK7+1/JSenh40OsDfmyUF8Q0AQKPRFBcXQ0bn8E0ikZBKpchXmlMgwzAymQz3fvjk+NTd3d3bt29xKba2tvj+xV+Ob+x2e1VVFacjD20+jm98Ph9cdCAjF34O33Dame/4FDxcq9WOj48rFAr8KQMAgFOQOFWgzYfsN9ATWaVSXV5eFhUVZbl6H2e/ubu7++OPP1KpVMZFhnLhG4ZhJBIJjpioUySSuwK58o3H49Hr9S6XK51Ox2Kxnp4eNMYJrfdWq1WlUsF1YlKp1MLCAu6BC/nGYDDAZW9SqdTKykpRURF6i/L7/XV1daOjox6PJ5VKURR1dXVVX1/f398PKer6+vqvv/66vLxkGCaVSu3t7UmlUtx+c3Bw8M9//jMUCrEsi960cL65ubmZnp6+vb2FX3KYmpoqKChAiIbzDQDAarV2dXV9mO0MvVxHR0dfvHiB7DfJZBK6I8DSEonEzs4Ouv15PJ6SkhK/348+GcHhG7iEiUAg2NjYgL8Bl8sllUrn5+fRmfsk35yenk5OTmb5ZaKiMkby5ZuMhWRP/Hy+ycX/5sn5JnunMu7l8E00GrVarWNYGBoaevPmjcViwdL+N5rdf3BtbQ1fPhGar6LRKJwjHQqFotEouoBZlp2dnc3+wtfY2Li6uorbutAl/eGXVVBQsL6+Dj2uoHspxx92dXVVpVJVV1dDESiKMhgMLS0tuF8qnL2ML+KHKxYKhVpbW+vq6jweD2oGMrYlEgm73Y4cvfEDYRznm4uLi46ODth+Dt8AAHZ2dgoKCg4ODuAPJBKJ4O/odrtdLBa7XC6aphOJxPb2dkVFBY7vHP9iiqIkEonFYkmlUolEYnd3V6lUfibf7OzsLC8v81/qAAAOh2NwcBC6WsNFxerq6tA8UJZld3d3sxgtHsc3m5ubcrn85uYmdh/gfQmdgk/yTSQSmZyczGgpQYXACJ9vXC7X3NxcRq5Cxx4fH797947/thMKhaqrqxcXF6GSyWQSTr9FdT1kv6FpuqWlpbGxEZ8mhqpDkcfxzfn5+fPnz91uNxSTMx04F76x2Wy9vb2oGSTyOAVy5RuKomZmZoRCYUVFRVlZmVKp5FzK8XgcrkIhFosrKio4/rOQb9bX19VqtVgsrqysrK2txcdHWJb1er2tra1VVVUVFRWwopGREXT/pWl6fHy8qKhIIpFUV1ebzWar1YrzTSqVqq+vLy8vr6mpQcsb4HwTiUQGBgaqq6tr74NMJsON/xy+8fl8UqlUIBBIJJKGhoalpSWRSIQaA5eea29vLysrk0ql8OaIpiDCCRrQpAGNQHy+YRjm9PRUJpNVVVWJxeKqqqrZ2VnccPJJvjEajb/++iuCqnxPP+Gbh+w3+SoJ3ZVw+006nT47OzvNIXB+RJyqA4EA7vmYTCbFYnFpaWlhYeFvv/1WWlpaVlaWlwdifX39mzdvSrCArxN4cnJSV1cnFAolEolQKFxaWuI8fT0ez9u3b/GZRxMTE/igKgCAoqg///yT89ks2C+GYQYGBv77v/+7oKCgrKwMtUIqlcKKvF7v27dvs5igcL5hWRbBPZ9v4IRBiUQiEokUCoVIJMId5hKJxMjICPTREQqF3d3dvb29WeaHw9lkxcXFlZWVMP/+/v5n8o1arX7z5k1G9+pIJDI8PCwQCODNQSAQTExMIJCFy/2JRCLO1YI2H8c3qVRKIpG8f/++7D4IBIL6+nrkffVJvrm8vPzll1/gcCFqScYIn2+sVutvv/2GOpjxqA/3xsLCQny2Hcp2dnbW0NBQUVEhl8uFQqHBYEBW+Sz2Gzjd5I8//kD3bVQgHnkc31AU9QHFCgsLkZg1NTVLS0vwDv9JvonH4y9fvkRDw3h7SDwvBXLlG1gopJAsUz/gepHo8uI3BZbAcRTHs8G1Jt1uN7LB4Huj0Sg04eCJeNzr9XI8B/G9AACapl0u1/X1dfafEzRKeTweaIbhFII2U6nU5eUlx7H6w6deGIbxeDw+ny/7Swlc3vShpTNRLRkjqVSKY6rNmO2hxO7ubv4roNvt/uBkU1hY+O6BkJe/28TEhNlsfqgBuaQHg0H+12c4Bw4ODuKOkJy9D21eX18XFRU90Mt3tbW12cmDU6xWq/0SNyOapg0GA2cxHk7VT74ZCAT4a4vnVYvf79fr9fwfxScLgSuGZ//JfLIQPANcQ9bpdCISwvfCVWs5DIdn4MRh/kf0i1MO2tRoNFkuG3incrlc/DthJBJ58pELu93e0dGRSqXi98HtdptMprKyMvylC7U8Y2RxcTEXvuEfm0wmszxT+PkzpkQiEafTmdfZWV9f/+TtJWNdn0zc39+H/prJZDIej/t8voWFhdevX6P127KXsLi4iK/Qkz0z2ZtFgfz4JktBZNf3pYDL5eK/uDAME4/HoU0149/cb3bQgSPj62nuQqVSqU/eEa6vr7OMaDxUV/aecuzJDxWC0s/Ozh5yxkJ5HhdxuVy4h/XjCvmaR6VSKbPZPDMz84SY8jXb/3XqYll2c3NTr9c/OaY8rv2pVOr333/n/I58Pl9NTU2OP3m4KNEnf62Pa96XOIphmLa2Nnx1+6eqhaZpfOIhKlapVGYfj4Y5aZoeGhrKYgJABZLIJxUgfPNJiUgGosA3UwAuB/XNqs+/4rm5uZmZmYz2kvwL+2GPcLvdra2taCroN+8nTdP/8z//g68rAyfht7a25sipLS0tJycnOcLQN+8vnBglk8nQfI4nbBLLskqlkmPKury8rK6uzsUqzLJsXlaoJ2z5j1cU4Zsf75ySHhEFvpkCOT4Ov1n7/h4V/w1VOjw8FIvFw8PDKysri4uLnZ2dTU1N2cf6cS3/hj3Cm4fH9/b2VCpVRUUF8i7C9z5J3O12V1RU9PT0LC4urqysDAwMSCSSL1fdk7T5hyyE8M0PeVpJp4gCRAGiQH4KBAKBnZ2dlZWVjY0N+PnY/I7/TnKHw+GLi4svYbnBBYDzHB0Ox+rq6vHxMTHJ4OJ8tTjhm68mNamIKEAUIAoQBYgCRIGvpADhm68kNKmGKEAUIAoQBYgCRIGvpgDhm68mNamIKEAUIAoQBYgCRIGvpADhm68kNKmGKEAUIAoQBYgCRIGvpgDhm68mNamIKEAUIAoQBYgCRIGvpADhm68kNKmGKEAUIAoQBYgCRIGvpgDhm68mNamIKEAUIAoQBYgCRIGvpADhm68kNKnmx1AgGo3m9RGuH6PXpBd/QwWCweCjP6/7N+wOaRJR4MkV+KH4hr0PT67R37NAiqKcTmdey4ZG7kPu3WEYxu/3f/JDpNkLvL295X/oinPIzMzM0y63dXd394W+7DM4OMhZeZ3Tly+6+VNd4RmVzOuCz1jCd52Id39vb29oaAhP+a67RhpPFHhyBfLgG4ZhUqlUxp9TKpX6zKcg/PD4Z36ksK+vb2lpiaMRwzChUCgQCHxf38ShKOrk5OQoU4Cfrbm+vn727Bn/gy8+n89ut0/eh7m5OZfLhU7Z+Pj4yMgIRx/4pXS/3392dnZ1dYVjQSwW02g0Wb4GD4+dnZ21/d/gcDiQ2iaTifMV8XQ6Db9RjP5WVlZeXFygzXg8jg7ntxalQPzyer38a89kMu3s7KCcMLK3t8f5wg7KcHl5ubq6irAg+DgAACAASURBVDYfivj9foVCwW9bJBLx+/38L1Enk8nP/MIo3hKWZScnJ/n9wvPkFU+lUvzrBwBA3Ye8isox8+3t7ed8ONDj8eT1tVGKolL3IWM3YZt9Pl/uXyHIsZtfKFssFtPpdOirVXd3d42NjWjzC1VKiiUKfL8K5ME3W1tbQqHw8PCQ09tYLCYQCKanpznpeW1eX19XVlaOj4+jo2iajsViaDOXiEqlwksAANze3ur1+vfv35eVlVVUVFgsFvwhlE6n8c1cqkgkElnulbmUkGOeRCIxPDxsvg9dXV1CoRCCgtlshp/5zcg3V1dXSqVyeXn58j5sbm4qlcqLiwtYaUa+CYfDra2tcrm8q6tLp9PV1dUdHR3B/Dnyzf7+/h4WbDZbWVkZEhY2GxYI/46NjUn+b3j9+rVIJMLTFhYW8EP48UgkolAo5HK5RCJRqVQcE1FGvrFarQMDA/yiAADr6+vd3d0Zd+GJq6urg4ODeEokEunq6iotLS0rKysvL+/p6cEv2r29vdevX+Mp+LH5xhmG6enp4RN8vuXA/CzLlpeXZ9S5s7Ozq6vrya9zmqa7u7urq6sf12AAwPn5eUVFRY6HsyxrNBrL7kNVVZVer7fb7Zxl8hmGEQqFjY2NFEXlWOw3zBYOhwUCAXrfYFl2YGBgamrqGzaJVE0U+DsrkAff2O32ly9f9vb2InsA7Njc3NyrV6/6+vo+p58URa2treFPqb29PaFQmFeZHL5hGEahUHR3d9M0zTCM2+1uaGgYGBhAr/tWq3V4eDj3Kmiabm5uzuUbsLmXmUtOr9fb2NiIiAEekpFvpqam7HY7Xuba2lpDQwNM4fNNKpVqbGw0mUzo/n58fPzixYvLy0sAQC58g9cF48PDw8+fPy/+GP7880+O/QZmY1k2Ho8Hg8Gbmxufz3dzcxMIBOLxOOfq4pcPAEgmk01NTWNjY3Cv1Wrt6+uLx+PJj6G3t5dv57BarU1NTTuZwsDAQGdnZ8a68ESj0Xh8fIxS0ul0W1ubWq2G1+3NzY3BYNDpdChDJBJZX19Hm58ZeVq+YRjml19+UavV6OcAmxeLxf744w+1Wv3kfAMAcDqduID5CpIX3zAMo1Qq9/f3Y7HY1dWV3W6HKIz4ANZ+cHDwOU3Ktwufk5/DNwAAt9v9+vXrL3GmPqed5FiiwN9Egfz4Ri6Xa7Va3FUinU4rlcqBgYHP5Bu+HJubm5WVlfz0LCkcvjk7OystLcVbS1EUfnczm8358k1jY+PX55vl5WWRSIR3BACQkW9sNtvk5CQu0dLSklqthil8vjk7O9NoNBykmJ2dNRgMj+Mbv98vFArPz88TH0NPTw+fbyiKWlhYMBgM8BQMDw+PjIyYTKbOzs7l5WW8/RnjJycn7e3taFcymdTpdM3Nzd0fQ0VFRUa+kclkU5lCS0tLR0cHKjBjhGVZmUwWDAbRXr/fL5FI8AECiqK+nMvnk/PNy5cvZTIZp8Hj4+N1dXUtLS1/w6fmxcVF7vYbyDe4M3gsFuvq6qqsrORYcdAJ/ZtH+HzDsuzz58+fcAz0b64AaR5RIC8F8uYbg8HgdDpRHS6XS6PRzM3NcfgmlUptbGwYDAa1Ws1/Ys3NzcXj8fX19YaGBviCS1HU0tISgo+Dg4Pm5uZXr16N3gefzwdrpChqZ2eno6NDpVJxDBUAAA7f7OzsCAQC3KEENTuRSDgcDpFIJJPJRkdHp6amED1EIpH5+XmdTqfX6/f399EhTqdzYmKiqKior69vdHT06OgIYoHL5VpZWUHZAAAHBwecUbzNzU21Wq3RaBwOB+d1GT/wobhUKi0rK8Pv1A/xjd/vr6mpGRgYcLvdXq/XZrNVVVUhjwc+3+zt7fX29nLqdbvdSqWSYZh87TfpdLqlpYXjfmvi+d/AgYb6+vpIJEJRFJSRZVmKorxeL26B5zQMbdpsNs7AitVqHRkZgQ7UcMwoI998zviUx+OpqqrCL6ebmxuxWJzFaSwcDq+traFmp9Pp3d1diqICgYDFYlEoFIuLi/zrwe12t7S0qNXq4eFheP1DA8NDfHNxcdHe3t7U1GS325EdDlX6UOQDvhQWFnZ1dVksFpQnnU6XlJSsrq7qdDqcb1iWPT4+NplMKpXKYrHgIgAATk9Pofmtubl5aGgIlra/v+92u30+n06ng9Y1eN75xpKzs7O2trampqalpSW+Gh6Pp6enR61Wj4+PHx8f527T5fMNACCRSPz555/z8/Ooy7u7u6hJZ2dnKI4yLCwsXF9fo81oNGqxWKAlGN2X4F6apqEX18nJSWNjI+7r5vF4+vr6VCrVyMgIZ7zy9va2t7e3oaHBarVydsF3jKGhIZVKZTKZLi8vKyoqQqEQagwAoLq6Gu8OvovEiQI/uQL58U1tbe3i4iKOMouLi9P3AU+kKKqpqUmv18/Nzc3OzpaXlw8MDOC3yzdv3gwODmo0mpmZGZfLBe87FRUVcFgE+kMolcqXL18O3Qev1wvdHnU6nVarnZmZsdvtIpGoo6MDL5bDN/F4vLS0dHJyMuNdY2ZmpqysTCKRDA0NTUxMQL5xuVx1dXVdXV0LCwtWq7W4uBg9nw4PDy0WS0FBQU9Pz9DQ0MHBAXwwz8zMiEQi/DIyGo09PT0whWGY/v5+gUBgs9mWl5ebm5txP1boVYN3AS8HAEDT9MLCQnV19c7OTkNDA+4ImdF+AwCIx+MzMzMGg6GtrW18fBy3N/D5BvrrILaDInd1dUEvk9z5Jp1OQ1OQ2WxOp9Pd3d01H8OrV6/49pvT01OVShUIBDimI6/XW1lZiYCMowbaNJvNW1tbaBMAsLKygjQHADzkf2MwGHyZwvT0dFdXF14gP76xsSGXy/EGx2IxuVw+MjJye3uLp6NjLy4u6urq0GY0Gm1sbJyfn29sbLRarXNzc5WVlTMzMygDwzDz8/NlZWULCwtbW1sNDQ2VlZXDw8MP8U06nR4fHxcKhTabbWVlRaPRdHd3Z7mcUEUAAIZh3r59u7Oz8/LlSzT0eXR01NDQ4HQ6NRoNKoeiKIvFolQqrVbr4uJiU1OTSqXCf1Ome4QVi8Xj4+Pb29uwFqPR2NHRodfrJycnNzc3oVP22NgYfqNIp9MjIyMikWhmZmZ5ebmpqam/vx81kmGYpaWl4uLigYGB5eVlk8kkEonevXuHMmSPZOQbAIDZbG5tbUXnq6WlBVW6ubkpkUjQLgCA3+9/9uwZvCBZlt3d3S0tLe3q6lpeXh4YGBCJRDhGJ5NJsVh8cHCg0WhsNhu6RJeXl4VCodlsXlpa6urqamhogDY/hmEcDodAIBgZGVlbW+vs7GxqasJtSycnJwKBoK2tbWlpaWxsTCaTPX/+nMM3RqMRJ9TsmpC9RIGfSoH8+EYqlfr9/tLSUvQjNBqNFxcXU1NT+G0LWhfQq9j19XVxcTH+oH3+/Hlrayv+FphIJHC+AQDY7Xb++NTV1RV6Q725uXn58iVEH3jOOHwDADg+Pq6rq6upqZmbm8Org/n1ej1nfCqRSODt3NzcbG5uRjVSFCWVSjnjU9n55sPNqLCwEFm8ODNT4H0Nv59yLr6lpSWlUgknadvt9rq6up2dHZifzzcXFxdnZ2enp6dHR0f7+/vr6+vz8/NWq9VkMlkslru7Oz7fUBQ1Pj4ulUodDofP5zs5Oenq6pLJZPAemgvfRCKRhYWFpqam5ubmDw9L+KRksNDX18fnm1QqNTc319LS0traarFYrFbr4OCgXq9vbm7mGGY4gsDN/v5+/LkCAFhdXcUHmDLyzfr6uk6n68kUWltbbTZbxrpQIqRGtAkjLperqalJKBSOj4/jA1VwL59vJBKJxWJBQLmxsYH7297e3lZXVyOrQCgUqq+vR/Yhvv3m8PCwoaEBWT3j8bharUbu5JymcjYh3/j9frFYvLGxAafCDQ8Pr62tOZ3OpqYmxDcsy/r9fjRrjKIohUJxdnaGCuzu7haJRPgPBwBgNBpLSkrwbAAADt9Aakftj0aj9fX1V1dXsORgMCgSiZC3OwBgY2OjtLQU1Zs98hDfbG5u1tfXI6TD+SYUChUXF+MCjo+PI/e1cDgslUq3t7fhD5Bl2fX1ddzcCPmGM+QXCAQqKytxSzDC+uvra5lMBqcLwFeLjo4OZIxJp9MKhWJubg6dCJfL9e7dOyQX7P7MzEwurmPZtSJ7iQI/pAJ58w0AQK1Ww4dQKpWSy+XxeJzPN1AslmUZhqFpuqKiAh9eefXqFXrPgzlz5Bu8WIZhSkpK8BsHn2/gXfvDKMCbN29evXp1enqKwwSfb9A5hi33+XxKpRKB0SP4JpVKlZaWzszMoJsUqiJ7JBQK1dbWqlQq9CwEAIRCIZlMBgeA+HyjUqnEYrFMJlMoFBUVFUVFRUNDQ8vLy+fn59FolGVZPt/ANlxfX3/wJy0oKBCJRLOzs0iiXPhmcnJSo9Gcn59/eF6ymcL29vbu7u5DnY1Go2dnZ+/fv19bW8NNAg/lh+lWq9XhcOB5ZmZmhoeHIVbRNM0HIDzz4+KTk5P8sTxY1N7eXnFx8b/+9S/OCAufbz68guPddLlcBQUFqD1Op7O2thZtUhSl0WgQIvD5pqenhzM2Ojo6ig+LoKL4Ecg3wWBwd3dXq9WyLJtMJtva2oLBIIdv8GPh76K9vR3ny66uLs6gJOQb/lxuDt8YjUZk5IC1mM1mNAVyenq6ra0NvSblO3/qIb5xuVxisRjBKM43AICOjo7W1lbYmGQyKZVKoYEZviw1NDQgzoP3FrFYjDzeIN9w7my9vb06nQ79pnAxFxcXTSYTnrK+vq5QKGCKz+cTiUSonQAAvv8NAMDhcEBvObwcEicKEAUAAI/hm+Pj49raWoqiRu4DAIDPN7FYbGtra2hoaGBgoKur6927dycnJ0jx169f469l/PGph+w3yWRyd3cXFcvhpIx8AyuNx+M2m00oFA4PD6M7Zka+CQaDKysrg4OD/f39er2+pqYGvUA/gm+gd4JSqdRqtUtLS/gEMaRGxkgqldrc3ORTEZrTHgwGxWIxPwMsbW1tDXngHh4ert+H5ubmHB9+sJBc+AbmDAQCo6OjA5mC0WjE5xAFAoFNXigqKrLZbJxkHOxgLejv9vY2GlOAL77t7e0NDQ2dH4NAIMAfwLFYbD+3wDHOoRrhEFhjYyOegscpilpdXZVKpQaDAV1gn+Qbj8fz8uVLVM7t7W1NTQ26SCKRiFwuR+/rfL5RqVStra3wZwj/NjQ0oMczKjZjBPENy7Iqlcrv919fXxsMhnQ6zeebdDp9fHw8MTFhNpu7u7tLS0vxYdbu7m5kdUB1GY1G/pR7Dt/U19cbjUa8/QqFAl23ra2taIocLPYR86fw1ypYyMrKCo4pHL754KtbWFgI7ZeXl5dKpRL1aGpqqre3l/OL6+np0ev1MA/kG2SshYnV1dWI2FBRMNLf3w/ddJACbW1t79+/h3uXl5e1Wi0yHj/ENyaTCf8tcKogm0SBn1mBx/ANnHd9fn7+6tUrODLN4RuaprVabX9///n5eSAQiMViVVVVn883NE23tLR0dXWdnZ35/f5oNCoQCPC3pSx8A8/x5eVlVVUVemDw+cbj8dTV1dlstsvLy9vbW7fbrVAoPpNvoE/M0dGRXq8XCAR7e3u5X3DxePzg4GA3U9je3l5eXs74XggAwPlmZ2dn6T5oNJovxDfpdNrn811nCob7SVKoy1dXV/wJTCMjI5OTk5x0zrweVAK0YykUCvQgOT4+bmho8Pl8oY+hs7MT55tAIDAyMgJ9ueBfk8n0119/DQwM4InDw8Onp6d4RXj85OSkuroaf33H98L4h9HSwsJC5F2eL98wDDM5OVlVVeVyue7u7jo7O41GI6IlPt80NDRMT0+f/t/wSe8l2FTENwCAwcHB7e3t4eFh6LPP4Ruapi0Wi16v39vb8/l8kUjEYDA8Fd/Mz8//3+b/r6sybKFGo0GmEZjyJHzT1dWFEAoAwOEblmWVSiUk8pmZGRywxsbGTCYT5xdnMpmamppg8zLyTZa1wbq7uy0WC6f76Kq22WwtLS3o7D/EN/X19XzjGWwP+UsU+MkVeAzfAACmp6e1Wi3yneTwzdjYWHNzM/7LFIlEn883NptNLpfjLzQVFRVZ+IZzJ4KcIZFI0Du6Xq9H0z3gddDe3o5PywoEArgDREb7zfz8vEAgwC8jg8GA+7riu1ZXV3F/C3xXxvjNzU1PT097pqBWqzOuX9zR0bG9vX1ycsJf+GtychJ/lWRZdm1tzeFwLC8vLywszM7OjoyMdHd3a7VamUwmkUhyt9/QNB0KhW4zha6uLr7/TTAYzGKeySgFJ/EDiBQWFvb39/f29paXlyOkgNky+t/gJYTD4T/++AORK77roThFUUKhkOPdyc9cVVWFXHny5RuWZWdnZxUKRV1dnUAgGBwcRI5u0COYs76f0WjkjNPx2/NQCs43e3t70CoDfWg4fBMIBKRSKT5Q0tXV9SR809raiv9+OU013Qf8V/z5fHN7e/vrr79CfyNYHYdv4LtBT08PwzAajQa/a+3s7Oh0Ovz+wzBMQ0PD6OgoLCoj37S2tnZ1deG9QN2cmZnJ4hp8eHhYX1+PXwAZx6cKCgo4Fz8qn0SIAj+5Ao/kG7fbXVBQgMaYOHyjVqtxO4HP5yspKcHvFLmMTzkcjpcvX+L3hfb2dtzi/QFTCgsL8fsjbr+haZr/Ou71esViMXqydt0H/Aqor68/ODhAKbu7u1KpFD0FaZoWi8W4RzMAYHd3988//0S3Ia/XW1paiviGoij8jd/lcuELeHDcjVG9uUT4/jfwKK1Wi48H4UV5vV58pisAYG5uzmazzczMzM/PLy4ubmxsHB0dXV1d3d3dURSVO9+4XK6GhgZzpmAwGNAcNNSYkZGRRz+YUSG3t7ebm5urq6sIWNGuL8E3AACdToe8MeCDELl7w6rhNYkcVPPlm3A4XF1djVxfUXdghG+/WV1dbWhowJ+4+CEsyz5UFJo/BYEmFAqJRCKNRgMP5/DN4eGhVqtFlzH0e30SvllcXFSpVA+1/+joCEI26tTa2lpxcTHahOPa+CYe5/vfBINBtVqtVCrxGvl8c3t729TU5HK5OM5SwWCwpqYGuQPD5QpLSkrQbyoj35ycnFRUVCCjFFQeDnKdn59XV1c/RMzhcFgoFOJr20BvLWR+hhadfDEdl4jEiQI/tgKP5BuKoj782NBQNIdv5ufnhUKhz+ejaXp5ebmqqqq8vDxfvvF4PP/4xz9OT09pmoaEsbKyUlRU5Ha7WZbd2NgQi8XFxcU43xgMBrR8Psuy0K0YLgaTSqX29vZKS0uhFyo8qTs7O9XV1ZFIJH0fAABdXV1tbW2JRCIWi42OjpaWltbW1iK+gQNzDoeDYRjkdJxKpX7//ffR0VGKovb395uamlpaWhDf7O/vV1RU7O3twceDxWLBnS6FQiFn5nzuV9sj+Cb3wmHO3PkGTg6HMvL/ousENeBJ+AaVxo98Ib6Zmpqam5tD1Z2cnLx//76np+f09DSZTF5eXkql0o6ODgTl+fJNIpEQi8W9vb1Op9Pj8Xi9XnSZQW9Wi8WCjENwHefGxkaRSOT1elmWvbu7g/PzYQs//DQKCwvxNQVQyzl8w7Ks2+1GD04O39ze3paVle3v7zMMc35+Xl5eDtfIQaU92v8mkUgoFAqJRAIf/8FgEB8ASiaTKpWqtrY2EAgkEonFxcXi4mJ8frjf76+qqnpoTSOGYerr65eWli4vL7e2tvr7+4uKijo6OjjMx+cbiqJaWlpqa2s5kytZlp2YmIDvZvB7eRUVFbiVNCPfsCzb1dUFp8VBAeVyORwGhYtHFBQUnJ6eMgwTj8eHh4fR+WIYxmw2FxUVXV5eptPpg4ODD2Prv//+O85DcBIiOhEkQhQgCuAK5ME3e3t7DzmybWxscBwMTSZTZWWlTCbr7e2NRCJjY2No2icAQKvV4u8lAIBUKtXR0YG/5QAAbDabSCSqrq5GKwQODQ0JhUKpVNrZ2RkMBkdHR3H/wYuLC4VCgdtXLu6XPhOJRAKBQCKRLC4u4q9uLMvCqa11dXVw2Pv29ra5ubmiokIul4+Pj4fDYavVit8QDw4OpFJpTU3N6OgoGoC7uLiQyWRCoVCr1V5cXGxvb6OnIMuyBwcHjY2N8ONK7e3tuFuJWq2emJjgP/7xM/RQPAvfmM3mvQeC0+lEzX6oZJSeF98olUr3A8Hj8aC3f1g4XK34IZff4+Pjx2mCWv6F+AY++BG+wAXyu7u7JRKJQCCoqamZmJjArxafz4c/fROJRH9/PzL1AQCCwSCymkBH6ZGREYlEIhaLq6urRSJRSUlJVVUVshkcHh7iM3rgIaOjo2KxWCKRSKVSq9WKzu/FxUVBQcFDk9dYlm1ubka2TCQdAMDn842MjKBuMgyzsLAgEonEYrFOp/N4PGtra/g6eLOzs/xapqenZ2dn8WLhNH7OjYKiqOHhYdT+qakpVC+0TxgMhqqqqurqaqPReHl5iU9hi0QiTU1Nb9684dQCN1mW7e/vh787uCwhXFyRk3liYgIfkoZ7t7a2ZDIZQg38kLW1NZlMBj+Xxpkul06ne3t70fR+dFQqlbJarTU1NSKRSC6Xb2xs4H1cWVmRyWRisbimpsZkMuHT6+D6QNXV1VVVVRqNxul09vb2ogyJREKtVqNrA1VHIkQBogBUIA++yUsyhmGi0Sh+K8/rcJQ5kUjghXxYjzwWi+EvtSgnjCQSCXR/R7vS6XQ0Gs34yITtxJ++NE2Hw2E8BZUDI6lUCk63xtNhFXgKHoffWuJ/XOlzxqeCwaBEIuF3am9vb3p62vZA2NrawgkPbyQ/nkwmzWYzup/yM6CUm5ubvvt1bsyZwsjICJoTBA9xOp22+3GxmUyB89iAh+T1d3Z2Fk2rznhgLBarra3FL62M2TiJcIFmfAQTZqBpOhqN5i4sp1i0eXZ2ZjQa4We9aZpOp9PBYFAmk+FL+8RisYxXOFwMGhUF0cdoNOIDavjefOPQqIk/mPMtIUv+dDodiUT4/YKHwK+KZTx8aWkJrU+TMcOXSISn+6HWPlQjRVEP3YVomoZW5IzHptNpZELGMzidTtz9HN9F4kQBokB+88OJXkQBosDV1dX09PQX0sFms3HmwrAs29HRwVklJcfaNzc329vbcXtSjgd+L9kCgYBCoeCg8/fS+M9v59HRUZbpfp9fPimBKPC9K/Cl7Dffuy6k/USBr6/AyclJbW3t/v5+KBRKJBI+n89ms4nFYs64bY4Nm5iYyMX2lmNpf8NsbrcbuXL/DZtHmkQUIAp8WwUI33xb/UntRIH/rwBN0/v7+y0tLVKpVCwWw0+t4Q5b/z8riREFiAJEAaJAVgUI32SVh+wkChAFiAJEAaIAUeA7VIDwzXd40kiTiQJEAaIAUYAoQBTIqgDhm6zykJ1EAaIAUYAoQBQgCnyHChC++Q5PGmkyUYAoQBQgChAFiAJZFSB8k1UespMoQBQgChAFiAJEge9QAcI33+FJI00mChAFiAJEAaIAUSCrAoRvsspDdhIFiAJEAaIAUYAo8B0qQPjmOzxppMlEAaIAUYAoQBQgCmRVgPBNVnl+0J3Mfci9cyzL5vu1HYZh8j2E3x6apr/QB4/4dZEUogBRgChAFPiRFPjO+GZrayv7kvN7e3s/8Ad3nurKOzo62t7e5pcGvwN6c3MTi8VwsAiHw7Ozs/xvefJLQCm7u7tLS0toM0skEAisr6/Pz887HA63243XMjg4yPnANcMwoVDo7oEQCoU+H6qyNJXsIgoQBYgCRIHvRYE8+CadTj/0/AiHw/l+ivlxAgkEArfbneVYiUQSDAazZEC70ul0OBxGmz9SxOfzdWYKfX19EBfm5+fHx8c5XY5EIhqNpri4uK6urqSkpKGhIRQKwTw+n0+n02VEh5ubm9nZWYvFsrq6iqPJxMREV1cXpwrOJsuyc3NzlZWVNpttZ2dneXm5rq5uYGAAZauoqOB8eikUColEoqIHwvv378kXB5F6JEIUIAoQBX5mBfLgG7vd/uuvv87Pz3P0urq6+uWXX/r6+jjpn7l5enrK/zJwaWmpy+XKUnJ1dXWOfONwOP76668sRX2/uyKRyOp9cDgcNTU1w8PDcHNjYwNiKJ9votFoTU3N/Pw8RVEAAJqmHQ5HeXk5RJyMfMMwzOjoaF1d3fDw8MzMTEdHh0wm297ehoafXPgmGo1qNBpEUQCARCJRWVnp9Xqh+Hy+yX5SWltbj4+Ps+che4kCRAGiAFHgZ1AgP74RCoWtra3pdBqXpr+/XyqVPjnftLW17e7u4hUBAAjfcATJvplOp9Vq9cbGBicbn2/Ozs5kMhknW11d3f7+PgAgI9+sra3V1dXhDHp+fq5Wq6FVLBe+icViTU1NiGYAAKFQqKKiwu/3w5bkyzfNzc3EfsM5iWSTKEAUIAr8nArkxzdyuby5uRk3kMD3/tnZWT7fMAyTTqdTqRQ0CXD0hWMZLMvCPJyxD4qiNBrN1tYWdR/QsZBvUMmcowAAyH7Dsiy/XtxPlm+/gd6s8MCHmo32ptNpfDgGtpCiqFQqlXEXwzDsfYB5UMtRX/ilAQDQXpQfSZFLJBwOV1dXG41GTmY+3wSDweLi4uvraygCwzB+v7+goADCR0a+0Wg0drsdL5miqPb2do/HAwDIhW8AALu7u0VFRW1tbWNjY319feXl5biBMF++USqV2c17eGtJnChAFCAKEAV+YAXy5huz2by+vo4UOTw87OzsnJmZ4fBNMBg0mUw6nU6r1Wo0mqWlJdztN5FIWK1Wj8czNDTU1tamUqlaW1tvb29hsQzD9PT0FBYW1tXVGQwGk8mEqistLd3a2hoYGIBHNTc3o3d9mAfxDbQNXF1doWMBAGdnZ5OTk5Ak+HzT1tZ2fn4+MzNjNBrVanVDQ8PZ2Rl+OMuy6+vrer1eq9U2eBNZBQAAIABJREFUNzd3d3ej2imK2tzc1N4HnU7X3d2NmyUAAIuLi4eHh+vr652dnRqNpr293ev1RiKRsbGx9vb2+vr6gYEBDuLc3t4ODAzo9frm5maj0YhbJm5ubnLx3t3e3m5paSkuLr64uMA7wucbAMD+/n5ra+vg4KDVaoXnZXNzEx6VkW/0er3NZsOLpSiqtbU1R76BpEhRVDQaPTg4WFlZcTgcx8fHTqfz+PjY4/GwLJsX39A0XVlZia4ivGEkThQgChAFiAI/mwL58Y1MJtvb22tsbEQyjY6Orq+vT01NcfhGq9WaTCa/3x8KhVwul1gsxt/1o9FodXW1UCjc3d29vQ/t7e3Dw8OwWJZlvV6vXC5fWFjw+/24ueivv/4Si8UnJyfB+6DT6ThYgPiGZVmtVtvd3Y2aCgBoa2ubmZmBKXy+KS4uFolEc3Nzfr//7u5uaGiovLwc95ve2dkRCoWHh4d3d3fBYHBmZub6+hqWtrGxUVFRcXx8DHdZrVaZTIZPQTKbzeXl5b29vT6fLxQKjYyMKJVKOHh0d3fndruFQiE+kBSPxwUCwfj4eDAYDIfDm5ubFRUVqDGzs7PPnj3jDBTiPYWDSlVVVWdnZ4eHhxKJxOfzoQwZ+QYAEI/Hb25urq6ufD4fPk8tI98cHR1xeOLi4kKpVEaj0VzsN/v7+6WlpQKBoPI+lJSUKJXKtra2gYGBqamps7MzPt/s7OzMPByGh4dfv349OTk5OzubSCRQZ0mEKEAUIAoQBX5CBfLjG6lUmkgkiouLod0CMoTX6+Xwze7ubnV1NT476eLiorq6Gg2yQL7BhxK2t7cbGhrQCaAoSqVS8f1v3r59e3BwgLJdXV3V19ejpz4+PgUAcLvdyEMW+q6+efMGWhcAABn5ZmhoCEFJKpV68eIFmq4Vj8efP3++vLyMakcRhmEUCgU+4zqVSimVSnyOktlsVqlUqHC32/3XX3/t7e2hQgYGBrRaLdqcmprCORIAoNPprFYrzBCJRHBzDjoKRlKp1P7+vkgkQq11OBz19fUbGxvQisbhm0AgYLsPk5OTVqu1t7e3q6urtbVVrVbLZLK1tbWMfAMhRiaTTU1NLS8v9/f3l5WVobOT4/gUbHAgEGhoaIDixGKxg4+hvLwcnz/lcDiGcwgjIyM4nHHEIZtEAaIAUYAo8DMokDffAAAGBwf7+/sBABcXFzqdjqIoDt80NTXhg0oAgGg0KpFI0GhONBpVKBT4UMLx8THu3/oQ33D8i29vbxUKRTweR6cK2W9gilqt3tragvHFxUWZTIbGgDLyzcrKCioKAFBUVITm4+zt7T179gwfZUM50+m0SCTC7UwAgPn5+eLiYpTHbDbjM5+DwWBBQQGugM1mq6mpgfkpitJqtTs7O3EsTE5O4gCESuZH3G53X18fIjmYwefzjY2NwUZy+CYcDjscjtXV1bW1tY2NjWfPns3OzrpcrkAgEI/HWZZ9iG8YhnG73Q6HY35+fnNzEyfaR/NNOBxe+hjKyspwvgEAsCz7wTEInURO3yORSHabFic/2SQKEAWIAkSBH1WBx/BNJBIpKyuLx+NNTU0OhwMAwOGbgoKChYUFXDKaptVqNcwMcYfDN6enp1KpFB2SF9/gL+scvllbW4OrsLAsW1tbu7a2hqrIhW9KSkoODw/hIdPT0+Xl5ehwPHJ9fS2VSvFmAACOj4//9a9/occth2/u7u7evn2L883c3JxQKITFxmIxiUTy22+//Y6FZ8+eKRQKvN6H4rgbNZ4HWY9cLtf5+Tm+C4//+eefcG8gEJDeh6qqKqlUisxveOaH4nnxTSqVOjk54RfldDqRgHBvIpEoKCjAJ23hR3V0dCAexdNJnChAFCAKEAV+NgUewzfQkWVpaenVq1fQ0YHDNyKRaGJiApcymUwqFAo0pMK333whvrm5uVEoFBRFXV9fi0QifEZVvnyzvLz86tUrvFMoDieR4dYLAMDm5ubz588RUuTFN8lkUqlUcgwwqLocI7u7u6MPBLPZjLgNlZZOp09OTj7MaHv16pXT6QQAUBTluQ87OztqtRrnm3Q6Hb0PkUgkFAoFg8Hr6+vLy8uTk5O9vb3z8/Mc+SYSibS1tTU+EMrLy5HND7YzkUi8ePHC6/UmMwW9Xs/vF+ogiRAFiAJEAaLAz6PAI/lma2urtLQUjlLx7Tdms1mr1eIw4ff7KysrkaPMJ/mGpunGxkY0tITOR8bxKdxwwrHf0DTd3t6+srKyurrKGTLLl29cLtc///lPzqwo2DCKokQiET5Xi2XZvr4+3KMoL75hWbazs9NisaCOPyLi9/tPHwj9/f24bxAs/Pb2ViAQpNPpw8NDjn9uMBi0WCz4qNDW1lZjY6NKpWpsbNRoNM3NzZ2dnWazeWJiwm63n56e5sg32ftVVVXFGZ+CfFNXV6fKFEpLSwnfZJeU7CUKEAWIAj+JAo/km0AgUFlZiSwWHPtNOp0WCATQGAAXw7Vare3t7ciY8Um+AQC0tLRAIkFH8df3g/43ON/U1NRw/GAODg7evXvX29t7dHSEn9R8+QYAoFKpOjo6oAsOy7KpVAp+7oBlWYvF0tHRAZGOZVno2oy3JC++gb5Nv//+O/oeE6wOSZFIJDiGDbxrn4xz/G9g/mAwWFJSwhkP+mRRD2XIkW+i0Whpaem7B0JFRUUgEMCrgHyDj+vhe9va2gjf4IKQOFGAKEAU+GkVeCTfwA8xItU4fAMAWF9fl8vl0E6g1+sbGxvRVOpc/G8AABsbG2/fvh0dHR0aGkKmoE/ab+RyOWdhGJqmS0pKZDIZ56H4CL4Jh8MajUan042Pj1ssFpVKheoKBoMtLS1qtXp0dNRsNisUirm5OaQPACBfvgEA2O12uVze29trs9nMZrNOp4NTr+Gu3377DR8wwuv6ZPzvwzfhcPjFixdwRUT4VXPOX05fCN9wBCGbRAGiAFGAKJBRgTz4JhaLcQYLUImRSITj8skwTDAYhOu2XVxc4FOc4LK8fr8ffzynUilO4TRNX15eLi8vHx0doZERr9eLGxhomubMprm8vOTYaQAAcLU6VAhsdjwex0eUAADX19ecdl5fX6MxNXTU5eXl0tLS7u7uzc0NXmYqlXK5XA6HY3d3l9Mq+OUB/ENLNE17PB5cgWg0ii9RA6u7vb09ODiYn58/Ojr6MOUKVXd7e7u/v4/MOehE5Bh5iG/+/e9/V1RUwAVp+H85ppTsdeVov4F80/1wwKfQw0n+L1680Gg0rZmCQCAg9pvs54XsJQoQBYgCP4kCefDNd6rIB0ApLCzEF6f5TjvyhM12Op38+Uosy95lDYiucmnJ8fExWv44S36Kog4PD3ceDhzqZRgmS/6DgwN8sDJLvWQXUYAoQBQgCvzYCvzgfMMwzMTEhEgkwq0+P/YZJb0jChAFiAJEAaIAUeBH5puenp7a2try8nLOqBM560QBogBRgChAFCAK/NgK/LB8w7Ls1tbW8vIymuT1Y59I0juiAFGAKEAUIAoQBZACPyzfoB6SCFGAKEAUIAoQBYgCP5sChG9+tjNO+ksUIAoQBYgCRIEfXwHCNz/+OSY9JAoQBYgCRAGiwM+mAOGbn+2Mk/4SBYgCRAGiAFHgx1eA8M2Pf45JD4kCRAGiAFGAKPCzKUD45mc746S/RAGiAFGAKEAU+PEVIHzz459j0kOiAFGAKEAUIAr8bAoQvvnZzjjpL1GAKEAUIAoQBX58BQjf/PjnmPSQKEAUIAoQBYgCP5sC3xnfJJPJ7F95TKVSj/6q9t/83F9fXweDwYyNZBiGpmlOx9PptNPp5CRmPBwlhkKhh6pAeWCEpulkMhmPxxOJBEVRaG8ymby8vESbMMI/ZXjK7e3t9fU15xD+JpM15NVNAMDNzQ3+OXd+dfyUVCq1vr6Of/KdnydjCsMwqVQKAJBOpz0eT75NzVgmSSQKEAWIAkSB7ArkwTfwkZbx7pxKpfCHXPYqP2dvY2Oj1+vNUoJer8/xucUwTPJj+Dt8fdPv92f8ivbx8THsb1tb28TEBKfv0Wh0eXl5eHh4ZGRkeHh4dXU1kUjAPH6///379/DJyjkqFoudn58fHBz4fD78gT0/Pz8+Ps7JzN+8uLgwm81DQ0OD96G/v39/fx8iy8XFRUVFBX4IwzD9/f34J8Ci0ej8/DxCnOnp6dbWVvyQjHG73W56IPT19R0cHPCPYhjG5/NdXl5++IY8Z6/ZbLbb7ZxE/iZN09TH4Pf7hUJhLBb7mEDh0sFjaZo+OTlZWFhYXV29vb2FiS6Xq7e3l2XZQCDQ2tqa8YzwqyYpRAGiAFGAKPA5CuTBN2tra0VFRbu7u5z6otFoQUHB2NgYJ/0zNxOJBP/5UVpa6nK5spRcXV2dowVie3v7zcdQUFBQXl4+MDAQiUSyFM7ZlUgknhCMTk5OIC4MDg5WVVXpdDq4abPZYL18vqFp2mg0Dg0Neb3eQCDg9Xr7+vpMJhPM/xDfrK6ulpWVaTSazs5OiUSi1+vREzcXvvnACoWFhcfHx/F4PJVKxeNxn8+HuJPPNxRF/fHHH+hhD20nCoUCHp5KpaxWay58c3t763sgDA0N8bEsnU43NjZWV1eLxWKJROLz+fDTlwvfUBQlEAjefQxv3rz517/+VVhY+DHhXWNjI14mwzCDg4MqlWp2dnZoaOj9+/eHh4cAgPPz89bWVsI3uFYkThQgChAFvrQCefCN3W5/8+ZNT08PevOGjZuZmSkoKOjr63vathoMBj5LPSHfOByOFy9exO9DKBQ6Ojpqamqqrq6+u7vLsSM6nW5+fj7HzHll02q1a2trnEP4fBOPxxsbG3HTSCgUEovF0MaWkW8ODg6EQqHb7YaFp1Ipk8mkVCqh+S0XvvF6vW/evMEtIgzDtLW1nZ+fAwAy8s1vv/22u7t7+TFsbW399ttvgo/h9evXufANRw18c2pqanJyEk9Jp9Nqtbq/vx9eq8vLy11dXdFoNPYx9PT05GK/wcucnZ199+5dFvOhx+NRq9WxWAwe5XQ6ZTJZJBIhfIPLSOJEAaIAUeDrKJAf38jlcq1Wi3+RO5VKKRQKi8Xy5HzT3Nz8pfnmr7/+wlWmabq+vn51dRVPzBKvr6//Qnzz7t07zgMbAJCRb5RKJW5z8vv9EokEPtT5fMMwTG9v7/b2Nt6pVCpVVlYG6SQXvoGFtLe3r6ys7O/vOxwOo9HY29sLMSsj3/z73/82mUzjH0NfX59SqUTGuRzHp/A2c+KDg4Nzc3N44vHxsVqtRiCeSqW0Wq1KpTJ8DAKBIK9zd3l5KRQK29vbzWZzxiFaAIDFYpmZmcGbYTQaz87Ozs/Pq6ur5+bmRkdH1Wo1spbhOUmcKEAUIAoQBZ5Wgbz5xmg0XlxcoEZcXl5qtdq5uTk+35ydnbW1tdXW1losFvx1Hzpabm9vp9Npt9vd3t4ulUpXVlbQ04hhmImJidLSUo1GYzabrVYrqq60tNTtdrtcrvb29rq6uqWlJbQLRtD4VDgcHh0d5dQbiURWV1fhk9XhcHD4BgBgNpvxgTaapnd3d9va2iQSCe77kkwmZ2dnCwoKFAqF2WweHBzEB6p2d3c1Gk19ff3c3BznWcjZ5DQebl5cXPznP/9paWnBy8zINwzDWCwWiUSyv7/v8/n29vZqamrQI5bPNxRFtbe3ezweTr1KpXJrawsAkAvfAABYlr25ubHb7UNDQ7Ozs4FAAJ27jHzzxx9/BINB9mO4ubkRiUT7+/uH96Gzs/Mz7TcajWZzcxPv1OzsLMc8Y7fbm5ubkeuMyWTiZMAPx+Msy66srAgEgqOjo3g83tzcLJVK+RoCALq7uzkXZG9v7/Hx8fn5eWVl5fj4+MDAgEqlInyDy0viRAGiAFHgCymQH9/U1tYuLy93d3ej1tjt9pmZmenpaQ7fTE9PSySSqamp1dXV7u7umpqas7MzdFQ0GlUqlQMDA3q93m63LywsVFZWOhwOmIFhmPHx8dLSUmixwF/NCwsLjUajVqudn5+fnZ0tKSnhMATiG4qihELh9PQ0qhQAMDw8PDg4CCGDzzcMwzQ0NKysrMBDaJpuvQ92u311dbW+vr6xsRGyUSKRmJ2dffXqlVqtnpiYmJqaguM7qVTKYrHU19cvLy+vra3pdLru7m7EWKOjo2VlZX6/H28SJ353dyeVStfX13t6eiYnJ/FnId9+AwBgGObo6GhoaKi7u3t4ePjs7AyhBp9vWJYdHx8fGRlBeQAA19fX7969g636JN8EAoGFhQW73T4/Pz83N2e1WicmJmCZg4ODa2trGfnm999/v7y8DH8MH2xFhYWF/f390F1YJpNl55toNHqVNRQXFy8vL19dXaGhusHBwf39fVzb/f39qqoqlJKL/835+fnw8LDBYBgYGPB6vclk0uFwUBS1trZmNBr7+/unp6dxW+bu7q7BYECnLBgMKpVKv99PxqeQ7CRCFCAKEAW+mgL58Y1UKg0GgyUlJWiSjsFgcDqdU1NTON94vV6hUOh0OmE3WJa12+0qlQo9VqPRqFAo/IAIyESxuLio0+lQtymKUqlU/PGpV69eTU1NoXJ2dnaamppQIQAAxDcAgPX19ZqaGoQXDMOUlZUdHR3BWnC+YVnW7/d3dXVVVVUFAgHUDK/Xi+aF3d3dPXv2DJ/8XFFRwRnjODg40Gq10WgUlpBKpXQ6HRz6AQAcHx+Pjo6iZzCqBUWi0ahGo5mYmGAYJhwOt7S0tLa2IndpDt8EAoHj4+Ojo6P9/f2dnZ21tbW5ubmRkZGenp6WlpbNzU0+3wAAbm9v5XJ5a2vr0dHR9fX1/Px8dXX10tISZL5P8k04HN69D3t7e/v7+69fv97c3HS5XG632+l0+ny+3d1dgUCAegQAoGm6qKhIpVJpPgaVSmU0GnMfnzo+Pu7KGpRKpcFg6OrqQpec2WyGvr2oJYeHh3jDcuGb29tbj8eDrp+7u7uqqiqILwzDhEIhl8uF9gIAKIrq7Oxsa2tbX1+fmZmpqqpaWFhgGIbwDToLJEIUIAoQBb6aAnnzDQAADkgBAOLxuEKhSCQSHL4x3ge8D6FQqKqqCj3ao9GoQqHA59QcHh7K5XJ0yEN8w/EvDgaDdXV1qFgO38DN09NTWOzR0VFRURHiFYfD8Y9//KPwPnyY4PPs2TO1Wo2/jqPGwJnksVjs7du36+vrKJ3PN83NzXa7HV+oxWq15jgOsra2BsvHx7DW19eFQiFEAQ7fOBwOhUKhUqnUavUHdiwoKDCZTAsLC0dHR8FgkKbpjHwDR5dmZ2flcnl5eXl7ezu+9swn+Qb1HUaKiorgSTw7O1MoFFKp9MPk8A+KcrLBzY/DU9z/W1tbU1NTGQ/BExmGwZXBd7Esi5AXpttsNs5Q0dLSklKp/OheHOvt7c1+Xq6uriDJob9LS0slJSUbGxsoZXd3d39/H4EahLnV1dX29vb+/n4EyoRv8JNF4kQBogBR4Oso8Bi+OTs7k0ql6XTaYrHAebkcvhEIBGhWM+xGOp1WKpVoyIDPN6enp1KpFPU5R765vb1VKBRoxgqfb6xWK/SnYVm2ra1tdHQUVeFwOJ4/f359H2w2m1KpxN/FUbM3NjZMJtPAwMCHRVz+85//oNErAACfb0pLS9VqdR8W5HL5yMgIqjRLxOPxIFMNng3R28TEBH9SFcwZDocbGxth+71e78J9GB8ff2j9G7x8PJ4v38BJSXgJgUBgcHAQT4Hxu7u70dFRc6ZgMplwauQfC1NmZ2eRJYyT5/j4eGdnB0/c3d1taWlBKXCoUalUdn8MlZWVHNsbygwju7u71hzC1NQUbj7kFAI3g8Hg6uoqy7LRaHRhYQHnoYz5SSJRgChAFCAKfL4Cj+EblmWVSuXp6emLFy/gI5nDNyUlJbOzs3jj0um0SqVCD6GvxjeXl5cqlQoAEAqFBAIBGjkCAODjU9AQxZk5RdO0Tqdrb293u93hcDiRSJSWlmbnm7KyMrvdDpkJ/cUrxTXJGPd4PJsPhJWVlYxurQAAnG/8fv/6fbDZbF+Ib+LxuFwuLy0tLSwsLCkpKcVCSUmJWCzmd42iqJubG2+mMDg4mN3/BpamVquXl5f5JQMA4NQkfFcikaipqUH5T05Oamtro9EoXA4gHo9/0n6DlwYASCaTNzc3V1dXoVCIYyvi5IxEIuMPh+XlZcI3HMXIJlGAKEAU+BIKPIZvAACzs7NqtbqhoQG2icM3ra2t3d3d+GhCOByuqalBoz+f5BuaphsbGxEPoZ5zxqc+ab9JJpMNDQ1ut3tvbw9/oefwDQBgY2OjoKAAX/vYbrdXVVXhb+dlZWU43/BtABqNJrtVAHUkY4Rl2a2trd4HQklJCT6HC5awv7/f1dUVj8cnJibwpgIAAoGAUCjEE51OJ/QLhi7h4+PjJpPJYDBoNBq5XL64uJiv/Ybfi8vLS876xTAPTdO3t7eBTGFkZCRHvuns7FzLFNrb23HLHKzx5uampqamp6enr69PJpNxFjjOxf8GABCJRKxWa2Njo0wm02q1ra2tKpVKJBIZDIbDw0P8CkdSRCKRyQfCwMBAQ0MDckBGh5AIUYAoQBQgCjy5Ao/km6urq7dv3yLXFg7fOJ1OkUiETxTa3Nysr69HL76f5BuWZbVaLd8tI1++AQDY7XalUjk6Osoxz+D2GzhlXa1Wt7e3o9fr/v5+vV6PFA8EAi9fvsT5RiaTDQ0NoQwQklQqFX+cC+ZhWRYNNuFH5Rjn+N/Ao7a3tx+Cg3Q6fXx8jDQHAHg8nuXl5ZWVFYfDsba2trW1dXx87Ha7g8FgPB5nWTZHvkmn02NjY92Zglarff/+Pb9HXq8XrhRg4QWj0cgZzeQfDgBQq9UGg2ExU2hpaeHzDQAgGo0eHh5ub2/jlyIsPBe+YVnWYrGMjIwEg0FcRoqiTk5Oqqur8YUSMraZk3hzc9Pc3Ez4hiML2SQKEAWIAl9CgUfyDX3vvoreXzl8AwDo6+urqqq6ubmhKGp1dfWvv/7CjTGf5BsAwMjISElJSSqVwtev+yTf1NbW3tzc4EqlUqlff/21traWs/Ish28AAIlE4t27d+h7T9vb28+fPz89PWUYZnt7WyQSvXv3DuebsbGxmpqaeDweiUQgFSWTSY1GU1NTA31L7+7uLBYLcqM2m83FxcWcDwXgTc0ez5dvspeWcW+OfBOLxXQ6nd/v//j9Lu5/fuEul6usrIx5IKALiX8gSslrfAod9VAkF75hGKa5ufmh74Go1WrOIOxDdaF0wjdIChIhChAFiAJfWoE8+Obo6Gh4eDhjg3Z3d/EHPzSHzMzMKJVKuOQxsvTAw5PJ5Pj4OO4X7PV6OYVHo1G4PGBjYyN65e3r68OdcGOx2Pj4ONoLABgaGuK/ynd2dvLXVTs9PTUYDJzuQPMGSpyZmZHL5Uqlsre39+bmZmpqCu9IKpXq7OyUy+VqtRq1KplMjo2N1dfXw8lNCwsLaIRocXGxpaXlLufvP6BmwMhDfCOTyRwPhI2NDTQmyCkt42bufKNSqTY3N48fCGjqEKrF5XK9f/9+/4FwdHSEXwzoKDyiVqtNJlPGArq7u/knHT+WH8+Fb+AgplarXV5ePjk5cbvdHo/H6XTu7e0NDw+rVKq8PKvgh7eI/YZ/LkgKUYAoQBT4EgrkwTePqJ6m6UQikcvbecbCWZbN+JXNjJlhIk3TOO7ARJlMhlb1zXIsfxfLstA0wd8FUxiGicfj+OAFTKcoip/Osiy/bQ+VzE+fmJjgDLEBAO7u7lZWVpYfCKurq7hHEb9MTsr29jaHUzkZ4GY6nZ6enoaL+01kCicnJ5wDw+Hw2NhYprz/mzY7O4usXJwD0ebKysrQ0NBYpjA8PIysbih/9ojdbuevrsQ/hKbpq6ur1dXVsbExs9nc19c3NDQ0MTGxt7eXL9xAJ/fR0VG0QgG/OpJCFCAKEAWIAk+lwJflm6dq5eeUs7+//+zZs0+aBz6nCnIsUYAoQBQgChAFiAJ/KwV+ZL7Z3d212+11dXW5LK/ytzorpDFEAaIAUYAoQBQgCnyOAj8s37AsC+f4nJycPHqA7HOUJccSBYgCRAGiAFGAKPCtFPhh+eZbCUrqJQoQBYgCRAGiAFHgmytA+OabnwLSAKIAUYAoQBQgChAFnlgBwjdPLCgpjihAFCAKEAWIAkSBb64A4ZtvfgpIA4gCRAGiAFGAKEAUeGIFCN88saCkOKIAUYAoQBQgChAFvrkChG+++SkgDSAKEAWIAkQBogBR4IkVIHzzxIKS4ogCRAGiAFGAKEAU+OYKEL755qeANIAoQBQgChAFiAJEgSdWgPDNEwtKivvKCqTTaf73v7K0gWVZ9MXTLNnwXfR9wFO+bZxlWf5HrPJtJMMw/K+hURSV12KY6XQ6r/zfVjdSO1GAKPBTKUD45qc63Y/sbDwe39nZeaon2fn5Of8DnI9sGQD9/f1XV1cZD4/FYjc3N5wPYUYikZaWFj4fZCwBJu7v76+trWXJ8JV33d7eTk1N0TSN17t0H/CU7PGLi4v+/n48D8MwNpvt5uYGT8wSpyjKarXm9QFXWJrf78/rs/ZZ2kB2EQWIAkSBhxTIg29SqRT/XsaybDgcfqon30OtROl3d3fr6+uBQAClfKeRRCIxPDzs8/k+s/3RaJTznIvFYslkEi+WoijOMx7fm0vc5/PV1dVxKsrlwIx5+vv7u7q6Mu7iJy4tLbVkClNTUzBzTU3N0dER58CbmxupVPrq1SuRSPTq1SupVIoe24FA4NWrV3zTBQDA6/XOzc05nU7O9Tw/Pz8yMsKpgr9ZX1//+8OB/xG0dDotEAh+eThcX1/zawEAXF9f6/V6DqKZ7kPG/BkTd3Z2JBIJvoum6fb2dqfTiSeiuM/n83q9aBMAkE6ndTrdI67hvr6+paUlvCgSJwoQBYgCT65AHnxjt9t//fXX7e1tvBGRSKS8vJzPPXiez4/TNL3CFq2RAAAgAElEQVSysiIWi+VyuV6vr78POzs7n1/ytyrB6/XKZLLPvMvTNK3VavEzkkwmJfcB79fIyIher8dT8o1/Q75xu91bH8Pbt2/Hx8fh1sXFBewFn29Ylm1qalpdXUWYsra2plarYf6MfBMOh41GY2Nj4/DwcEtLi0ajwRk6R76Jx+PhB0J/f7/D4eDInk6ntVqt1+tN8UIikSgqKvJ4POiQQCAw8DF0dnZKpVKTyQQTRkdHAQC58I3T6ez7GPR6fXV19cetvrm5uex8Mzg4aDabUXs+h29qa2uHh4fxokicKEAUIAo8uQL58Y1QKNRoNPF4HLXj6/DN2tqaWCw+OTlJJpPQf+Lk5GRvbw8147uLsCx7d3fHeQXPtxcsy46MjJhMJnSgx+PR6XTPnz/H7f81NTU2mw3leUTkG/INau2H8/7q1Sv+SefzDU3TCoUCv0oTiYRcLodqZ+Qbm81mNpuhXw7DMNPT00NDQ6jqHPkG5edEWJa1WCwbGxucdGj/CAaDnHQAAMMw79+/x/kmlUp5HgjQrJIL3yQSCd8D4e7u7uvwzdraWlVVlVKpzNhxvhQkhShAFCAKPE6B/PhGqVQaDAbcF4HPN6lUijOQkUgkcA/QdDoN3RgTiUQoFEKDKTRNR6PRcDjMeep/YJq3b9/ilT7U1UQiAd+f+aMPNE3jlSYSCfhyDysNhUIcn1PkfZlOpyORSDgc5pcJAEgmk+FwGO8FbBvLsjA/Kh91E2XgyALToSaRSIQjAsuycBenJWtra3K5HAmys7MzOjoqk8mQUSeVSj179gxZO2BO2KlQKIR0QCUwDAMhMh6Ph0Ih2Aw+3ySTSfycsiwL80ciETwdFZtMJkOhUCQSSafTAwMDuY9PoRK8Xu+vv/46PT2NUmCEzzcsyzY0NJyenqbTaZqm0+n06elpQ0MDzM/nG4ZhmpqacJjw+/21tbWoos/nm/7+fj6Z5cU3sDHBYLCvr6+iouLdu3disXhpaQldliaTqb+/n70PqOUZI36/32g0lpSUvH37tq6ubnt7G/5gs/ON2WzGSfoR9pt0Or26uvru3Tu/37+ysvLmzRun08m5V2RsMEkkChAFiAKPUCA/vpHL5WdnZxUVFejdi8M3DMMMDg6enp6ipqRSKZVKhY/cLywszM3NraysGI1GvV6v0Wjcbvft7a3FYjEYDPX19e3t7bFYDJVgs9nKyso4fID2wghN09vb2w0NDc33QavVnpycoOEJAMDe3t7KysrGxobBYGhubtZoNIeHh6lUamRkxGAwqFSq1tZW/I0/EAh0d3efnJx0d3cbDIampiadToe7JkSjUZvN1tLS0tbWptFompubcW+JcDg8MDAQiUTMZrPBYGhsbNRqtUg0CEZarRY5hcBX9pWVlebm5ra2tpaWloGBgUQigbp5eHgIC2lra9PpdOfn53CXy+UqLCxEcDY+Pr6xsTE+Pm6xWGCGi4uLP//8E2UAADidzpaWFq1Wq9frdTodxy/E5XK1t7efnZ3p9XqtVnt2dgYA4PANFAcflIReMq2trTqdbmBgAD99UHztfWhra+vu7m5pacH55vLy0mb7f+2dd1vbyPr33+6WZFM2SwohgElCLzYlgLGNK8Y23abXUEy1qQYMBFONce9N0vw4zLNzzUqyMZBzDue5Zv6A0WiavpI1H91zj/QdFx8dNYqk02mtVtvd3S2Xy1m+RFy+AQAcHR0ZDIaBgQGTyWQ0GuGphLVx+YaiKIlEEg6H8eaampqQDeyRfAO54ezsDNUPI3B+yu12pzkhmUyy5qcgTyiVyvn5eci4LpfLYDDMzs7C2vr7+ysqKnp6enDLE6tFAIDP56usrFxbW4vFYul0+uzs7Nu3b/Pz8wCA7HzTdhvwCnP3v/H5fBaLRalUarVa9DPZ29trb2/v7u7e3d1lnVO8FRInChAFiAIPU+B+fFNdXc0wTE9PT3t7O6QHFt9QFCWVSjc3N1Fv4vF4fn4+TgaDg4OfPn3q6+sLBAKxWGxycrK4uFipVO7t7UWj0UAg8PXr1/HxcVSDWq3u6OhAm7wRh8NRVlZ2cnISvQ0bGxuVlZWsAbiwsFClUvn9/lgstr6+XldXJxQKrVYrbFQikSCXVQCA0+ksKCioqqpyOByxWCwSiUxMTOTl5aFR0OVyDQ4Oer3eWCwWjUZHRkZUKhXqm9frraysLCsr293djUaj4XBYextQhmg0WlRUdHFxgVKWl5e/fPlyeXkJrVBdXV2IUVKpFDTJRKPRWCx2enqKnDoTiURRURGkEACARqM5Ozu7vr5ua2uDRGg2m799+4ZacblcAoHg+/fvkUgkFosdHh5+/vwZ9889ODj4+PFjR0eH0+mMxWLw8Rrnm1QqVV1dPT8/j/Bxa2tLJBI5nc54PB4Oh9VqdVdXF2rx6Ojo7du3FosFnpqDg4OCggKcb7q7uz98+MAd/lENAACLxfLt27dkMjk5OdnS0oLDLi/fAACSyWQoFAoEAiyLF5dvUqkUq04AgFwu39/fh314JN+k02m5XI4jPqw2lUqVl5e/e/fuPV/4/fffEQrA/MFgUCaTIYMNAODs7EyhUMC9/f39HR0d19fXuOcQ3IX/XVpakslk6NwBAPx+f1NTUzqdzsI3FEUVFRWVlZXhyqdSKZlM1tPTMzo6urq6iteJt8gwTG1tLfRcxjsPAIjH45ubm2KxuLOzE0dwvDiJEwWIAkSBhylwP76pqqqCI0dNTc3e3h4A4GF8U1NTg25nwWDwl19+wT1tp6am0OwAwzBCoXBycjL74UmlUtzFhKKonp6e7u5uVGp5ebmpqQndgv1+f2lpKc5h8/PzLS0tKL/T6fz06RN+N2cYpqSkhDs/Aoucnp4KBAJU3Ov1lpaW4uPT9vb2p0+fUAYW34RCIaFQiK9zvr6+/vPPP6FVI5FIiEQi7gAJa2traxsbG4PP942NjZFIJJFIiMVin88HYRT1GTqCaLVa1A0AwNzcXHFxMTrSg4OD3377zWaz4XkQ3yQSiY6ODr1ejyahotHo27dvcUKKxWJlZWVwlE0mkw0NDSy/VNb6qWg0egNVvPMUDMP4/f7FxcWWlhYoZjqdHh4elkgkqIcsvnE4HBO3YWxsbHh4WK/Xd3V1dXR0yOVysVi8urrK5RuKosRiMW5zomm6tbUVnb47+ebk5GQ4czCZTFVVVT09PWNjY6hOXN4c47FYjGVnstlsOp0OFs/F/wYAYLPZampq0OlmGGZzc1MulzMMk4Vvdnd3W1tbdTod/pOBfGMymWZmZjY2NtCPi3s4WXbBzHdm4NZJUogCRAGiQHYFHsI3AAB4T6Rp+mF8I5VKUbdomv7tt9/sdjtK2dzcrKiogCNoLnwDyQM3EQEAdnZ2cOBYXl7Gx/VoNFpbW+vxeFCj0OSDNp1OZ1FREdqEETjZhCcyDHN9fb2+vt7b2/v69Wv0eOr1esvLy/Gcx8fHL1++RCksvnE4HC0tLdDCAf/e2Ffy8vLgQdE03d3d3draarPZWH45AIDZ2dnm5mYAwPb2tlKphC9/U6lUDoeDNTmYSqVaW1vR3BbszI1nzKtXr5CDzsHBwYsXLxC+wDyIb6ampiQSCWJTAMD+/v779+/D4TDe+aamJmhSurq6Ki4uZs09sfgGacKNMAxjNptnZmZwUxwA4PLyEi1HYvGNx+PZ2dmx2Wy7u7sbGxtCodBms11dXQUCAehXxMs3EokEN3tEIhGRSISkvpNvAoHAQQ7h8PAQ2f+4B3tnCk3TIyMjUql0aWlpc3NzYmKitbUVGZly5JtkMgnnhVdWVra2toxGY11dHTz7mfgGTg7abLaDgwO5XI5INJf5qZtfN1xY7rorBAKBOxUgGYgCRAGiQO4KPJBvEolES0vL9vZ2OBwuKytDw0+O81M439y4d7D4xmazlZeXo9vonfNTPp+vuLgY924BAFxcXLx+/Ro9p7L4JhaLCYVCnG+2trZwIuHlm4WFBalUijp2eXkpEok+f/7c09MzOzv77t075DHD5ZuTk5M//vgDnRgW39hstufPn3PfhILsIjRNr66ufvjwoaqqCjfzwLe2FBUVxeNxpVJpNpthExMTE5OTk4FAQCwWI+qKx+P19fVobgt1RiAQIC+cg4MDnMNgHsg3Dofj7du3AoEADfwAgPn5+V9//ZXV8/fv3x8eHkI/mIqKCtQQjOTON6yCvJsWi8Xv9/PuikajMpkMutFsb29X3YbS0lLW+28Yhunu7sZfN3B0dISvqL+Tb2DruRsh4vG4XC4v/mcoug3/TCtubGzEaRLOnA4PDxtuPW/Q5Z3j+nDUTzixlZ+fb7VaUbcz8c3KyopEIkkmkzRNQ/c1WE8ufBMMBgUCAeug/vzzz3fv3rESNRoN70kkiUQBogBR4GEKPJBvAAB2u/3jx4+Xl5cVFRU438hkMnwpLK//zb345k7/4lQqVVxczLL8Hx4efvjwAd27fwrf9PT06PV6KPTOzk5FRcXu7i7EHa/XW1BQ8GC+OTw8FIvFd57CZDK5sLBQWlo6PDyMMIthGOh7lJ+fjxyWbTabTCa7urpSq9UIR5LJZFNTE75QCPo15+XlIZDKxDdlZWVfv3798eOH0WiUy+WozpuJCXzejXUIp6ennz9/ZiU+gG8sFstghtDZ2ckltlAoBB2n1Go15Jt4PA4tCHa7ncU3AACHw9HU1LSxseF0Ovf398ViMb7cKUe+6e/v39raYh0s7yacd2NZNIaGhqRSKSvR6/WiaxierN3dXQSseOU52m9QkZ2dnZqaGrjQLxwOezyeSCTCer9fPB6fm5srLy+/cWOHBcPhsFgs1mq1fr8/F75BzeGR3t7eXJZD4kVInChAFCAK3FeBh/MNnDTRarW4Jy/DMCqVCi7HgF0Jh8Pv37/HJ48GBwfvxTfQ1IEMDLxHWF1dzRpapqenm5qaUObH880NTxQWFs7NzcGVJhqNxmKxoPofyTcul6uioiLHyQu3211WVoYbLTQazcjIyNevX9FY6Pf7S0pK9vb24Jph2E+KojQaDVpxAxOPjo5evXqFZgcy8U1paSmc2IrFYpWVlWh8ur6+5nrC4rIIBAL87IPbLyrg/sUoc5aIz+e7zBDKysoQnKEa7HZ7R0cHTdMejweBINwbDAZbWlpYRhGGYc7Pz6HjvMFguGF3vFSOfCOVShcXF1Ef7huZm5u7048+lUp9+fIFtzuiVtZvA9rkjZjNZo1GAxct1tTUvH79uqamRigUSiQSrVbrcDhYfGO32xUKBcvxKx6PLy8vu1wuwje8IpNEogBR4Iko8HC+gU+TDQ0NeXl5yH4DABgaGmpqaoIf3otGowMDA7///js+wt2XbwAAa2tr5eXlZ2dn0EieSqVOT0/b2trQg+zKyopYLI5EIgzD0DTtdruFQiHuaPIAvikoKDg+PoZNpFKpmZmZjx8/QgsNBAWz2UxRFMMwiURifn7+5cuXD7bfwCmSlpYWeAjQiRstmk0mkycnJ3BIZhhmb2+vsrISrV6GPsIVFRUsN16RSNTe3r6wsIBfaru7uyUlJdfX1zRNw29rfPv2DV9RnIlv8O8znJ6eNjU1IRozGAz4su1kMol6DgDQ6XQikQgeF0VRFxcXAoEA55tIJHJ8fIzzBN7hO+Ms/xuYf39/H1/Odmcl2TM8Kb4pLCxEVrrs3ebuvbi42Nzc3N7e3tvb+/HjB3x1MsqWaX4KZWBFCN+wBCGbRAGiwJNS4FF8AwBYWlr6448/cL5xuVxlZWUymayrq0uj0SwtLRUWFj6SbyiKMpvNIpFIKpUaDAaZTCYWi5GHKQAgFouZTKaGhoaenh6DwdDY2Dg9PY3mUAAAD+CbwsJCg8HQ0dEBZ2RaW1uREy70Xy4vL9dqtX19fXq93mQyvX///sF8AwAIhUIGg6G5ubmvr89kMqlUKrTuyefzKRQKlUplvH3HmlAoXFlZQaYaOL3y8uVLXGQAwNTU1Lt373DHbWh5mpubE4lEer2+r6+vtbW1p6cHFyoXvkmn03q9Hq3hTyaTBoNBLBb39/cbjUalUjk9PY265/f729vbGxoa+vv7O29DV1cXzjdGozE/P5/lVJT7j4TwTe5aZc9J+Ca7PmQvUYAo8L+lwD34Br5QhHV46XQ6EAigwQzujUajdrv96OgIvs02FArhT+fxeBx/vodv4MCH2HQ6jRsnYJ0Mw0QiEZfLtbW15Xa7o9Eoq1GKogKBwP7+/tHRUSgUYq0ASiaT+CoehmFYb9pNpVJ4o9C/OJ1Oezye9fX18/NzxC6wPzRNBwKBnZ0dh8MRDocpigoGg6hLNE3jtUGwwGeUGIYJBoO4LDCPz+fb2dnZ29vz+Xz4HEoikfD5fDabzW63c48OHjtqHfYwlUrBl+7DTfQXmm2Ojo62t7f9fj+rD+l0Gu8nOljWKUskEngKLMXbc7hw/erqan19/erqKpFIpFIp/FxEIpFM68NRn7NEMvFNfn7+rcMuz5/S0lK07ChLzWhXjvabtra2N2/eFGQIIpEIVcgbyXF+qrCw8OPHjzxHdft+Gu5UHW9bvImEb3hlIYlEAaLA/6gC9+Cb/9EjfFi3eddPPawqUurfqsDy8jJr6RwkRfjdjCBf4H4DJHsPz8/P8VdyZ8oMX28YzhBwpOOt4fz8HHdq5s0D3zjFd0z/SrvvcbGaYBhmd3eXxeWsPPgmTdNbW1v4e4PwvVniBwcHLJ+eLJnJLqIAUYAo8DAFCN/w60b4hl8XkkoUIAoQBYgCRIH/BQUI3/CfJafTWVxczL+PpBIFiAJEAaIAUYAo8LQVIHzDf35isRj+Knr+TCSVKEAUIAoQBYgCRIEnqQDhmyd5WkiniAJEAaIAUYAoQBR4hAKEbx4hHilKFCAKEAWIAkQBosCTVIDwzZM8LaRTRAGiAFGAKEAUIAo8QgHCN48QjxQlChAFiAJEAaIAUeBJKkD45kmeFtIpogBRgChAFCAKEAUeoQDhm0eIR4oSBYgCRAGiAFGAKPAkFSB88yRPC+kUUYAoQBQgChAFiAKPUIDwzSPEI0WJAg9SgPsJtgdVQwr9RxXg/QDff7QHpDGiAFHgPgoQvsmmltvtZn1+Mlvu28+Ysz7DmT0//Mom61Og2Yv83L00TXM/3nSvJiiKur6+zr0ITdOXl5f3PeRwOIx/gfXO5hKJRDgcvjNb9gzX19f3ajR7bfjexcXFra0tPOVJxeGHtO7VJYqi/v/7pFQikcC/xuV2u00m071uCPfSkGQmChAFfq4CD+SbVCqVTCZ/blfurC3LoEhRVDKZZH1A+84KM32CMZFIwLL5+flut5tVTywWu7y83NnZ2draOj8/x78vODg4ODs7y8oPN5PJZDQaZd0cE4mEWCzGP8TNWxYmMgyTSQGGYVK3IVNxVtlwODw+Pk5RVCgUqqmpyVQKT2cYJn4bWCI7nc5nz57hOfE497vr0Wj0l19+wYcNlD+VSoXD4VAohPRHuzQazcnJCdq8M7K5uWkwGO7MBr/EGY1GE4kE67gAAK9evTo/P8croSjKYrHg33XH99rt9tPTUzyFN55KpZqamnAaoGk6ljVw6zk5OVlbW7NkCHd+DTQWi11zAkLz9fV1k8nEFQQAQNN0psvg999/5/YTpfBeusxtQHmi0Wgoc2D9dlApPHJ2dra6uppBFQv34+o0Tfv9fpvNZjabd3Z2vF4v3s/t7e2+vj5Ufzweb29vx08c2kUiRAGiwBNU4N58c35+bjQaZTKZVCrt6emx2+2898Gfe6her3d5ebmzs5OLAhRFbW5uarXajo4OvV5/dnaWe3+MRmPPbdDpdA0NDV1dXXATfcaZyzcul0ulUvX395vN5sXFRZPJpFQqkQkkE9+sra11dHRotdru7u6rqyskTo58k06nHQ7H8PDwxMQEKosikUhkbGxMq9VqNJqZmRne71SfnJzs7e2hIj6fT6FQpNPpHPkmFouNjo523IaxsTHcqpGdbzQaDQsRePmGYZgfP34oFIrOzk6dTqdSqTY3N/GRhsU3gUBgcHAQniz8b19f38XFBQAgR75xu929vb1arValUlmtVqQPjHD5Jh6PC4VCnGjxIl1dXdPT03gKb3xubq6jowM/uouLC4VC0dvb28cJ3d3djY2NuOCwTq1W29nZOZshoAuYtwMAgB8/fgwMDPT/Hfr6+j5//oxMSpn4JhqNZrkMsvBNMpkcGRm5vLxk9WdhYQH/OUxOTnIE+H8Jzc3NuQBub29vR0dHBlVmt7e38Q7QNL2ystLW1jYyMrK4uDg+Pi6VSi0WC8rD4hsAwNzcnFarRRlIhChAFHjKCtyPbxwOR0lJyfDw8NXVldvtXlhYKCoqWl1d/bceodfrLSwsfPfu3S+//OLxeFhtra2tVVRUnJ+fh8PhjY2N2tpabh5WEbSZ/DtcXV1JpdJQKAQT0JMil29GRkaWlpbQ4ETT9PT0tFqthnXy8s33798rKipcLlc0GrVarTU1Nah4jnwzOztbUFDw6tWr6upq1HkYSafTjY2Ner0+EAgEg0GlUmkymVh5AAAWi2VychKl35dvNBrNwMBAJBIJhUIajaa1tRVBZHa+kUgkLJMGL99cX18LhcKjoyNoG7i6uhKJRGdnZ6jDLL5JpVJOp/PiNuj1+vb2dhi/uLiAeJcL3zAMU1tbu7KyEo1GnU5nZWWlw+FALfLabyDfHB8fX/IFuVx+J99QFFVQUAAhDLV1cHBgMBii0SjXiON2u58/f861GGm1WoQjqJ7cI9CeR/8dwuFweXk5enjIxDdqtdpoNMLLQK1Wi8Vi/DLIwjcMw/T19TU1NeE9TCQSNTU1N79ulJhMJhMZgkwmuxPaAAC9vb3r6+uowuyRQCDQ3Nzs8/nQUZyfn5eUlKAnBC7fhMPht2/fPn7qM3vHyF6iAFHgpyhwD74JBALv37/HR3cAgN1uFwgEuSPFgzvt8/ny8vJYDSWTSZlMhg9LfX19ZrP5vq2cn5+XlpZyn8tZfMMwzMDAAOu7mysrK9++fYMtcvkmEAiUl5ejmzjDMN3d3SMjIzB/jnwDM8/Pz3P5xm63V1dXI2ByuVyVlZVoE+nwGL5xOBxVVVXopp9Op6uqqpA1KAvfMAyTn5/PkgvyzfHx8fX1NZqHmp6eZpmmLBaLWCxG/WfxDUoHAIyOjnKnonLhm6mpKdyOcmNnKiwsHBkZmfg7PH/+nGV8gnwjkUjkfEEgENzJNxcXF9zv0h8cHPT29qJRFj+6cDj8xx9//HS+wZuAv+LW1laUuL6+3traury8bLPZ0DS0w+GoqanBL4Pq6ur9/X1Yyul0ZuEbAMDNjGRhYeHR0RHMzzAMZHHeo0Y9QRGFQvHT+cbpdKrVapZtTCgUooa4fAMAaG5uxm08qIckQhQgCjw1BXLlGzgwNzQ0sG4HNE0bDIampiY4pl5eXjqdTvwgGYbZ3t7G/S2CweDCwoLJZFpeXmbduI+Pj0OhkMvlGhoa2tjYwOvh5Zt4PN7c3IzoAQBgNpt5DRh4Vdz4zZxLfn7+8fExaxeLbwAAR0dHDQ0Ny8vLXq/X5/NZLJbGxkYEWFy+2draYhm0z87O3r59C+V6PN+sr6+3tLSgbkej0crKSvQgjtKXl5dHR0fR5r3sN2q1empqCpUFAKyurg4MDMCULHxjtVpLS0uVSiU+hkG+UavVOp0OmXa6urp2dnbwJq6urgQCAUrJwjcjIyN6vR7lhJE7+YZhmOLiYnTiYKnm5ubh4eG9v8OLFy94+YbLwbB4LvNTOA2jPj+Mb6amps4zBLfbjWuOGuKNJJPJtrY2NKgDANbX18Vi8dra2t7eHvqFqlQqFr2trKwYjUZY5518Ayd39Ho9NI6enZ3l5eUFAgG8S6urq5MZQllZGd5DvBQe7+3t7erqWs0Q9vb2kGkWAOByuRQKBQI4AEAqlaqoqECGQ16+6e/v7+rqwhslcaIAUeBpKpAr38RisYqKCrvdzj2Mi4uLV69e+f1+AMD29rZUKsXtB5eXlx8+fECuixcXFyUlJUqlcnJyUigUikQi3NgrkUgmJycFAoHBYGD5Q/DyDUVRWq32+/fv6G7e19e3srKCOllXV8e6KaNdKHLjVFhQUGA2m8vKyvCbHQCAyzfwSbSrq6uysrKiokKn0+F0xeWbhYUFVgcoinr27FkwGAQAPJ5vLi4uioqKkAPQ1dUV18YDjRxarZamaavVOjo62tfXB1E1F/+byspK9NgNRfN4PEqlEpJuJr4Jh8Nv3rw5OjoSi8Wjo6PokuCdnxoeHmbNch4eHopEInSOsvCNWq1uaGhAOWHkTr6JRqNv3rxBgzcsNTg4uLy8jKrK5H8TCoUovqDX61nnGlWFIqOjo93d3WgTRh7ANxMTE5WZg16vZ13JrBbhJsMwHo+nsrKyt7cXnSDIN1z/4oqKCtZl4Ha7VSoVJIZc+CYSiTQ1Nfn9fpqmtVrtzMwMq1cNDQ1Go3EhQ4A/GVYR1ubOzk7X38FgMAgEApVK9XfCv7yj8DMej8fFYrHFYkmn0zRNp9PphYUFZIuFdzPcvxi2tbKy0tzczGqXbBIFiAJPUIFc+cbj8QgEAq5hAA7SL1++hMYPr9dbV1eHP+DOzs4iAwZN07gHH8Mwvb29379/R7o0NzfX1dXxrlDg5Rv4EFZfXz8wMHB5eXl8fKxUKvGHQqlUuri4iOrnRk5OTpqamiwWC8Mwk5OTUqkUX3vC4hv3bbi+vr66urq8vDw5OTk4ONje3rZYLJubm4lEgss3MzMzCwsLeLsMw7x+/RquqX483zAMs7S0VFdXt7KyEolEhoaGeBdwqdXqmpoaiqL29/eXlpYmJye/ffuWi38xwzACgYDlGRoMBuVyORwqePnm4uJCIpHAASwYDEqlUqPRCD1Jefnm8PBQIpEgV9NgMKhWq/ETl4lvUqlUbW1tUVERmjeBUt/JN36//927dwiLYamJiYm5uYk49fUAAA2aSURBVDl0srh8k0wmNRqNwWDo4QvNzc0sSkNVoQj0TEebMPIAvmHVcN/NZDLpcDjGx8dhn3G44eUbaO5iXQZ+v1+hUKDLIPv8FFx7NTIyMjQ05HQ6W1tbcVMK7L9YLM7FiTjHg6VpWi6Xc9c/4sVdLpdWq9XpdAMDA11dXazHFV77zcXFhVAo5HYer5bEiQJEgaegQK58c35+js8XsLr+/v176O1IUZRSqUSDRCqVUigUaN7Hbrc3NzfjT5YOh0Or1aJhBk4QoE28lUx8k0gkWlpaGhoavnz5kpeXx7IwJRIJ1oQaqjOVShmNxtbWVrQEjKbpHz9+yGQyNPnC4huZTCYWiyUSiUwmEwqF1dXVAwMD09PTFovF4XCk02ku37AmhsDtO3KeP38ODVqP5xsAwOXlZUlJiVAoFAgEzc3NrJEetiiRSFQqFVofe6/5qfr6etbk0fn5ObQGAQC4fGM2m0tLS3E/rUQisbq62tvbCwDg5RuKolZXV798+dLS0iKVSr9+/To+Po4/amfim8PDw/b2do1Gg9tdclk/lUql8vLyWLze09OztraGrhAu39ywaSgU8mYIPp8PeRShSliR7u5url/wwcFBUVGRWCxu44Rv3779+uuvuBQul2syt8DCEdSTZDIpl8tbWloWFhZw6yPKwOtfLBKJbDYbygMAODs76+zshGyUi/0GAHDjP1dYWMhrvAEAPIZvLi8vWczZ3d0tEAg0Gg0rHX+AgS8I8Pv919fXfr8f1xkA4HA4uM58oVCotraWlROXhcSJAkSBJ6JArnxzfX1dXFzMe/umKOrFixfIdm21WgUCAbzrBYPB1tZWNANlNBrb2tr2sWA2myUSCQKa1tZW7g0FKsXLN6lUSqfTQTtBIBBQKBT19fXZn9iQ7gzDjI2NoYkzlH5zOHCuDQBQWlrKOwAAABYWFjo7O2Epv9/vuQ1dXV0s84ndbheLxfjz8dbW1ufPn2HBx/PN8fFxbW0t9Hmy2+1VVVVjY2NIT3j71mq1q6urTqfz69ev8Fzci2+MRmN3dzde59DQ0NjYGDwELt/AoQLpyYpEo9FXr16hSwLfm06nj46O9vb2WNgBAODlG5qm9Xr9+vq60+lsa2vD5y/utN8AAGpra/E5UIqivnz50tjYqPg7PHv2DPe/iUQi/txClod7o9HIcmYCACSTSScWGhsbx8bGsAQnLr7L5frbAfqO/6xVWkhqhmHC4XD0NsDEVCqFbK7xeByu9UP5YWRgYKCnpwfvyeDg4Pj4ONybI98AAPr7+z99+sT7I21paZFIJPA1BEqlsq2tDcbhX5YHOqt7fr8/g9cNO5n7Okqr1WrhC2tra8gXBzV3dHRUX1+P64B2kQhRgCjwpBTIlW8ikUh5eTmCGPwYrq6uXr16hTggFou9ffsWPiQtLS319PSg0V2j0dTW1o79M6ysrKCbxX355sePH2q1Gn+WGhwcVP+9WhvvZKZ4KpW6vLw8zRBWVla4AASrwvlmdnZ26DaIRCIW3yQSiYaGhqWlJXiM4XC4paUFLT56JN9QFKXT6VBt8Pm4oqICpdA0bTab6+rqoM3MZDJ1dHTEYrF78U0wGIQr8OGBn52dCQQCNIfI5Rtcar/fv7Ozs7y8bDabrVbr6elpIpHY2triNapFIhHeYY+XbyCeKhSKWCxGUdTY2JhEIkGIkwvfHB4eNjQ0wCI0Tc/MzIhEopOTk7O/w8uXL3G+WV1dZVkCtFqtSCTq7u5mpeMzpLgaAIDJycmOjg5WImtTIpHgPmSsvT9rc2FhYXBwENZmt9uR+7nVapVKpdxWgsFgZWUlEuT09LSkpASxQu58s7OzU1ZWhv9mUVtwivn4NoyPj3/58gXG4V/WwgVUihsJBoObm5vz8/OTk5Nzc3NWq9Xj8aCbDDf/4uIir8+PwWDg+t/Mzs5KJBJuJSSFKEAUeGoK5Mo3DMMoFAreH7bJZCotLUUQAwAwmUxwiUFVVRVu056ZmZHL5VkkuC/fjI+Po7XWsNqTk5OvX79maYK1y+v1arVacYZQWFjIWpEOANDpdIeHhxaLBS3Uommaug0mk4nFNwAAn89XVlam0+mWlpYaGhpwz81H8k0ymZRIJIgs4aF1dXUhwjObzeXl5WjxWjKZ7OjokMvl9+Ib6GhZVVU1NTU1Pj5eUlKC+Il3fgp2g6bpzs7OkpKS7u7uubm5xcXFsbGxhoaGmpoaZCpgnYvNzU1kEmPtYtlv0un08PBwQUEBIgmKooxGY0lJCVwSlQvfMAwzOjpaX1+/srKi1WpLS0uRULB11vwURVGpf4bz83O5XB6Lxf6ZnMoylG5tbdXV1bGOjrWZC99MTk7m/qIXVv1wc2pqCq0DstlsaCD//v27UCjkLbK1tQUvg7GxMe5lcKf/DawzC9/gjW5tbfF6yuN5uHGGYYxGo0Ag6O3tXVlZ2dnZWVtbGxoaKisrw98FwC3Im7Kzs9Pf38/apdPphoaGWIlkkyhAFHiCCuTKN9DPAzq44Lfvy8vL0tJSll0nHA43NDTcrOcsLCzEvW08Hk91dTV65uPKcV++WV9f12q1+HTAwcEB/sEB+jZwG8oxheV/A0s1NjayXoSKajs8PERrnlEiACASiczNzfX399tsNtx08Ui+SafT7e3tyL0JunBqNBq0andjY4M1SZFMJgOBwH35hmGYs7OzkZGR0dFR1mN0JvvN8PCwVCplWb9oml5dXc3Pz+d9fLdarYjMcPUAAKzvT+3t7UkkEhaOAACsVit83U4ufHOzPi6dTu/t7fX29k5PT3OnzFh8w+oSAODq6kqlUuEnlJuHleLxeD5+/IgOH36ZAU4Vob+tra1zc3NoE0ZYU8O9vb0sv3VWQ3duTk1Nffr0qfk2VFZWwjX2NE1LJJKKigoEjng9DMOcnp6OjIzA6TN81yPtN+l0mvViv7W1tcrKSlbind9gmZ+fb2lp4QJ0PB5XKBSI4fCeAwDa29t1Ol03J8jlctZkIsMw+Ft/WPWQTaIAUeBJKXAPvgEALC4uVldXLy4u+v3+UCi0ubkpFApZFhR4eBqNpqamBk3Po2MeHBxsaWlxOv/lUpBOp7e2tvAZbl6+CQQCbrf78PDwzZs3drvd7Xajm28oFGpubv7+/TscYwKBAFq2A1tUq9V3LmlBfeNG7ss33Bqyp+TCN6lUyn0bhoeHS0tLYRxSI8MwZrO5sbHx5OQEQqfVaq2urkbLxTO1fl++yVRPJvsNwzAqlYrllQwriUQiv/76K5pIwmvOwjd4NsglrPGelSFHvmGVYm3+O/iGpun6+nr0biev19vZ2Sn9Z/j69atQKPxnmpS18vyn8I1er4eWp83NTTj22+12iUQyNTXFNUOyxGFtPoZvaJr+/v07JC30t6qq6v3792gTRpRKJctayerG4OAgd9k5zLO2toa/MRIvWFlZeXh4CH9ZrL8sVIKvt8Cf2fB6SJwoQBR4Ugrcj28AAAcHBzcv5H3+/PmzZ8+Kiopw7xn8wG6WK79584Z7I6BpemJi4vXr13/99deLFy/q6upwe4BMJmMthIELgJ//M+DvO/F4PCKR6PXr1/n5+X/88cfk5CT+PF1YWPgYY3ImvrFarawnS7SJt44LwhvPhW+Ojo7+efT/2kKOsQzD3HTm3bt3Hz58+Ouvv8rKylgGG952/X4/NDzk8v4b3hpQYib7zdraWkFBwenpaSqVSqfTFEWl0+lwONzZ2cl6Tz+qymq1KhQKpCQrci9hnyzfAAD29/ebmprudThIIhSBL1ZgSYQ2U6lsc2SwkqmpKZxvent7vV6vUCi8uLjw+/319fXHx8e4pRY1zRvJnW92d3dramqQBYu3tgcnHhwcFBQU7O7uJpNJdNWlUimHw1FQUJDpvcM1NTUulwuiHvcv6gzDMCaTifvMhjKQCFGAKPCkFLg338Dewy/9PvhIbt5x5/F4uCuZH1xhJBLxeDzcMSMejz/mTlpbW8u1hUxMTCiVSnWGMDs7i8+XZT+iZDKp0+kerwNFUV6vNxAI5DggpVKp09NThmEikYhMJsveyex73W53SUkJbx6bzabX6w0GQ/9t6Ovr6+jomJ6ezqTPycmJQqFQZwj463B4m8MT9/f3h4eH8ZQHxEtLS9EreXiLezye/v5+7lXHmxklMgwjl8tZr05Ge3OMWCwWpVKpyhCGhoZYhgdutRsbGxKJRH8bVCrV1NSUWq3e29uDl5DT6ZRIJNyLn1sPTIHrKzPt/U+mn5yc9PT06HS6/v5++A1Rw21gvTkC71J7e7tWq4VScP8iS2EoFGpvb+c1PeK1kThRgCjwRBR4IN88kd7/u7vh8/m4gzE0RaQzBG7+LJ2E71PJEUqy1PPgXTRNP/J+DVE1UwcoiopEIoFAAE5ooqGCNz+cssyg67/eMMtbijcxmUxyF5nz5syS6PV6s59NiqLC4fADTp/dbs/lawNZ+oZc2qFjO/dvlrJwVzqdxl18kskky1kqkUjkfmjZL4M7O/NzM9A0ffMagmAw6PP5AoFAJBLJfh5jsRguBSuORHC73WazGW3+3D6T2ogCRIGfrgDhm58uKamQKEAUIAoQBYgCRIH/sgKEb/7LJ4A0TxQgChAFiAJEAaLAT1eA8M1Pl5RUSBQgChAFiAJEAaLAf1mB/wNAi3K8arYdXQAAAABJRU5ErkJggg=="
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"
    }
   },
   "cell_type": "markdown",
   "id": "5bc5606d-4641-4ffa-b879-284213a74988",
   "metadata": {},
   "source": [
    "![image.png](attachment:5fa64edc-8f7c-4873-b969-e6fb2f8380d7.png)\n",
    "![image.png](attachment:94b6fad3-c135-46c8-85e5-233758fcd308.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f08bbc3-d5ba-4cba-a9b7-9d741d1a3f14",
   "metadata": {},
   "source": [
    "### EDA (탐색적 데이터 분석)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "803b79c0-a2ce-4439-93f0-091e61619d19",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Attrition\n",
       "No     1233\n",
       "Yes     237\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 직원들의 이직여부 확인\n",
    "data['Attrition'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "55e21018-2cbf-4164-8621-1beb6457fc3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "16.122448979591837"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 우리 회사의 이직률 확인\n",
    "# 이직자수 / 전체수 *100\n",
    "237/(237+1233)*100\n",
    "# 약 16% 정도의 이직률"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "52242729-ec47-48d0-8af7-7396c26104f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 정답테이더 -> Attrition(이직여부) -> 숫자 데이터\n",
    "# 이직한 사람 -> 1, 이직하지 않은 사람-> 0\n",
    "# 성별, 나이대에 따른 이직률을 알아보기 위해 데이터 변경\n",
    "import numpy as np\n",
    "# np.where(조건, 조건에 부합하는 데이터 변경, 나머지 데이터 변경)\n",
    "data['Attrition'] = np.where(data['Attrition']=='Yes',1,0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2bd657df-85a7-4047-bd6c-b6e77711f27b",
   "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>Age</th>\n",
       "      <th>Attrition</th>\n",
       "      <th>BusinessTravel</th>\n",
       "      <th>DailyRate</th>\n",
       "      <th>Department</th>\n",
       "      <th>DistanceFromHome</th>\n",
       "      <th>Education</th>\n",
       "      <th>EducationField</th>\n",
       "      <th>EmployeeCount</th>\n",
       "      <th>EmployeeNumber</th>\n",
       "      <th>...</th>\n",
       "      <th>RelationshipSatisfaction</th>\n",
       "      <th>StandardHours</th>\n",
       "      <th>StockOptionLevel</th>\n",
       "      <th>TotalWorkingYears</th>\n",
       "      <th>TrainingTimesLastYear</th>\n",
       "      <th>WorkLifeBalance</th>\n",
       "      <th>YearsAtCompany</th>\n",
       "      <th>YearsInCurrentRole</th>\n",
       "      <th>YearsSinceLastPromotion</th>\n",
       "      <th>YearsWithCurrManager</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>41</td>\n",
       "      <td>1</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>1102</td>\n",
       "      <td>Sales</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "      <td>Travel_Frequently</td>\n",
       "      <td>279</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>1373</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>Other</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>Travel_Frequently</td>\n",
       "      <td>1392</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>591</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\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",
       "      <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",
       "      <th>1465</th>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>Travel_Frequently</td>\n",
       "      <td>884</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>23</td>\n",
       "      <td>2</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1</td>\n",
       "      <td>2061</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1466</th>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>613</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1</td>\n",
       "      <td>2062</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1467</th>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>155</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>1</td>\n",
       "      <td>2064</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1468</th>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "      <td>Travel_Frequently</td>\n",
       "      <td>1023</td>\n",
       "      <td>Sales</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1</td>\n",
       "      <td>2065</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1469</th>\n",
       "      <td>34</td>\n",
       "      <td>0</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>628</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1</td>\n",
       "      <td>2068</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1470 rows × 35 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Age  Attrition     BusinessTravel  DailyRate              Department  \\\n",
       "0      41          1      Travel_Rarely       1102                   Sales   \n",
       "1      49          0  Travel_Frequently        279  Research & Development   \n",
       "2      37          1      Travel_Rarely       1373  Research & Development   \n",
       "3      33          0  Travel_Frequently       1392  Research & Development   \n",
       "4      27          0      Travel_Rarely        591  Research & Development   \n",
       "...   ...        ...                ...        ...                     ...   \n",
       "1465   36          0  Travel_Frequently        884  Research & Development   \n",
       "1466   39          0      Travel_Rarely        613  Research & Development   \n",
       "1467   27          0      Travel_Rarely        155  Research & Development   \n",
       "1468   49          0  Travel_Frequently       1023                   Sales   \n",
       "1469   34          0      Travel_Rarely        628  Research & Development   \n",
       "\n",
       "      DistanceFromHome  Education EducationField  EmployeeCount  \\\n",
       "0                    1          2  Life Sciences              1   \n",
       "1                    8          1  Life Sciences              1   \n",
       "2                    2          2          Other              1   \n",
       "3                    3          4  Life Sciences              1   \n",
       "4                    2          1        Medical              1   \n",
       "...                ...        ...            ...            ...   \n",
       "1465                23          2        Medical              1   \n",
       "1466                 6          1        Medical              1   \n",
       "1467                 4          3  Life Sciences              1   \n",
       "1468                 2          3        Medical              1   \n",
       "1469                 8          3        Medical              1   \n",
       "\n",
       "      EmployeeNumber  ...  RelationshipSatisfaction StandardHours  \\\n",
       "0                  1  ...                         1            80   \n",
       "1                  2  ...                         4            80   \n",
       "2                  4  ...                         2            80   \n",
       "3                  5  ...                         3            80   \n",
       "4                  7  ...                         4            80   \n",
       "...              ...  ...                       ...           ...   \n",
       "1465            2061  ...                         3            80   \n",
       "1466            2062  ...                         1            80   \n",
       "1467            2064  ...                         2            80   \n",
       "1468            2065  ...                         4            80   \n",
       "1469            2068  ...                         1            80   \n",
       "\n",
       "      StockOptionLevel  TotalWorkingYears  TrainingTimesLastYear  \\\n",
       "0                    0                  8                      0   \n",
       "1                    1                 10                      3   \n",
       "2                    0                  7                      3   \n",
       "3                    0                  8                      3   \n",
       "4                    1                  6                      3   \n",
       "...                ...                ...                    ...   \n",
       "1465                 1                 17                      3   \n",
       "1466                 1                  9                      5   \n",
       "1467                 1                  6                      0   \n",
       "1468                 0                 17                      3   \n",
       "1469                 0                  6                      3   \n",
       "\n",
       "     WorkLifeBalance  YearsAtCompany YearsInCurrentRole  \\\n",
       "0                  1               6                  4   \n",
       "1                  3              10                  7   \n",
       "2                  3               0                  0   \n",
       "3                  3               8                  7   \n",
       "4                  3               2                  2   \n",
       "...              ...             ...                ...   \n",
       "1465               3               5                  2   \n",
       "1466               3               7                  7   \n",
       "1467               3               6                  2   \n",
       "1468               2               9                  6   \n",
       "1469               4               4                  3   \n",
       "\n",
       "      YearsSinceLastPromotion  YearsWithCurrManager  \n",
       "0                           0                     5  \n",
       "1                           1                     7  \n",
       "2                           0                     0  \n",
       "3                           3                     0  \n",
       "4                           2                     2  \n",
       "...                       ...                   ...  \n",
       "1465                        0                     3  \n",
       "1466                        1                     7  \n",
       "1467                        0                     3  \n",
       "1468                        0                     8  \n",
       "1469                        1                     2  \n",
       "\n",
       "[1470 rows x 35 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "cdaa9180-cc0c-4466-8225-89e04969e01d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Age\n",
       "35    78\n",
       "34    77\n",
       "36    69\n",
       "31    69\n",
       "29    68\n",
       "32    61\n",
       "30    60\n",
       "33    58\n",
       "38    58\n",
       "40    57\n",
       "37    50\n",
       "27    48\n",
       "28    48\n",
       "42    46\n",
       "39    42\n",
       "45    41\n",
       "41    40\n",
       "26    39\n",
       "44    33\n",
       "46    33\n",
       "43    32\n",
       "50    30\n",
       "25    26\n",
       "24    26\n",
       "49    24\n",
       "47    24\n",
       "55    22\n",
       "51    19\n",
       "53    19\n",
       "48    19\n",
       "54    18\n",
       "52    18\n",
       "22    16\n",
       "56    14\n",
       "23    14\n",
       "58    14\n",
       "21    13\n",
       "20    11\n",
       "59    10\n",
       "19     9\n",
       "18     8\n",
       "60     5\n",
       "57     4\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 연령데이터 확인\n",
    "data['Age'].value_counts()\n",
    "# 연속적인 데이터 카테고리화 하여 데이터의 특징을 부각"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f2b39202-327e-4ae4-a7a7-ca5bb4a75431",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 연령데이터 3개의 카테고리로 묶어주기!\n",
    "# 30대 이하, 30~40, 40대 이상   -> 구간화, 카테고리화\n",
    "data['Age_gp'] = np.where(data['Age'] <= 30, '30 이하', np.where(data['Age'] < 40, '30-40', '40대 이상'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "cd251a0e-99c5-46fe-b2a9-9d0f8351fcbf",
   "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>Age</th>\n",
       "      <th>Attrition</th>\n",
       "      <th>BusinessTravel</th>\n",
       "      <th>DailyRate</th>\n",
       "      <th>Department</th>\n",
       "      <th>DistanceFromHome</th>\n",
       "      <th>Education</th>\n",
       "      <th>EducationField</th>\n",
       "      <th>EmployeeCount</th>\n",
       "      <th>EmployeeNumber</th>\n",
       "      <th>...</th>\n",
       "      <th>StandardHours</th>\n",
       "      <th>StockOptionLevel</th>\n",
       "      <th>TotalWorkingYears</th>\n",
       "      <th>TrainingTimesLastYear</th>\n",
       "      <th>WorkLifeBalance</th>\n",
       "      <th>YearsAtCompany</th>\n",
       "      <th>YearsInCurrentRole</th>\n",
       "      <th>YearsSinceLastPromotion</th>\n",
       "      <th>YearsWithCurrManager</th>\n",
       "      <th>Age_gp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>41</td>\n",
       "      <td>1</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>1102</td>\n",
       "      <td>Sales</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>40대 이상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "      <td>Travel_Frequently</td>\n",
       "      <td>279</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>40대 이상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>1373</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>Other</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30-40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>Travel_Frequently</td>\n",
       "      <td>1392</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>30-40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>591</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>30 이하</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\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",
       "      <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",
       "      <th>1465</th>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>Travel_Frequently</td>\n",
       "      <td>884</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>23</td>\n",
       "      <td>2</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1</td>\n",
       "      <td>2061</td>\n",
       "      <td>...</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>30-40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1466</th>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>613</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1</td>\n",
       "      <td>2062</td>\n",
       "      <td>...</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>30-40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1467</th>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>155</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>1</td>\n",
       "      <td>2064</td>\n",
       "      <td>...</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>30 이하</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1468</th>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "      <td>Travel_Frequently</td>\n",
       "      <td>1023</td>\n",
       "      <td>Sales</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1</td>\n",
       "      <td>2065</td>\n",
       "      <td>...</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>40대 이상</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1469</th>\n",
       "      <td>34</td>\n",
       "      <td>0</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>628</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1</td>\n",
       "      <td>2068</td>\n",
       "      <td>...</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>30-40</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1470 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Age  Attrition     BusinessTravel  DailyRate              Department  \\\n",
       "0      41          1      Travel_Rarely       1102                   Sales   \n",
       "1      49          0  Travel_Frequently        279  Research & Development   \n",
       "2      37          1      Travel_Rarely       1373  Research & Development   \n",
       "3      33          0  Travel_Frequently       1392  Research & Development   \n",
       "4      27          0      Travel_Rarely        591  Research & Development   \n",
       "...   ...        ...                ...        ...                     ...   \n",
       "1465   36          0  Travel_Frequently        884  Research & Development   \n",
       "1466   39          0      Travel_Rarely        613  Research & Development   \n",
       "1467   27          0      Travel_Rarely        155  Research & Development   \n",
       "1468   49          0  Travel_Frequently       1023                   Sales   \n",
       "1469   34          0      Travel_Rarely        628  Research & Development   \n",
       "\n",
       "      DistanceFromHome  Education EducationField  EmployeeCount  \\\n",
       "0                    1          2  Life Sciences              1   \n",
       "1                    8          1  Life Sciences              1   \n",
       "2                    2          2          Other              1   \n",
       "3                    3          4  Life Sciences              1   \n",
       "4                    2          1        Medical              1   \n",
       "...                ...        ...            ...            ...   \n",
       "1465                23          2        Medical              1   \n",
       "1466                 6          1        Medical              1   \n",
       "1467                 4          3  Life Sciences              1   \n",
       "1468                 2          3        Medical              1   \n",
       "1469                 8          3        Medical              1   \n",
       "\n",
       "      EmployeeNumber  ...  StandardHours StockOptionLevel  TotalWorkingYears  \\\n",
       "0                  1  ...             80                0                  8   \n",
       "1                  2  ...             80                1                 10   \n",
       "2                  4  ...             80                0                  7   \n",
       "3                  5  ...             80                0                  8   \n",
       "4                  7  ...             80                1                  6   \n",
       "...              ...  ...            ...              ...                ...   \n",
       "1465            2061  ...             80                1                 17   \n",
       "1466            2062  ...             80                1                  9   \n",
       "1467            2064  ...             80                1                  6   \n",
       "1468            2065  ...             80                0                 17   \n",
       "1469            2068  ...             80                0                  6   \n",
       "\n",
       "      TrainingTimesLastYear  WorkLifeBalance YearsAtCompany  \\\n",
       "0                         0                1              6   \n",
       "1                         3                3             10   \n",
       "2                         3                3              0   \n",
       "3                         3                3              8   \n",
       "4                         3                3              2   \n",
       "...                     ...              ...            ...   \n",
       "1465                      3                3              5   \n",
       "1466                      5                3              7   \n",
       "1467                      0                3              6   \n",
       "1468                      3                2              9   \n",
       "1469                      3                4              4   \n",
       "\n",
       "      YearsInCurrentRole YearsSinceLastPromotion  YearsWithCurrManager  Age_gp  \n",
       "0                      4                       0                     5  40대 이상  \n",
       "1                      7                       1                     7  40대 이상  \n",
       "2                      0                       0                     0   30-40  \n",
       "3                      7                       3                     0   30-40  \n",
       "4                      2                       2                     2   30 이하  \n",
       "...                  ...                     ...                   ...     ...  \n",
       "1465                   2                       0                     3   30-40  \n",
       "1466                   7                       1                     7   30-40  \n",
       "1467                   2                       0                     3   30 이하  \n",
       "1468                   6                       0                     8  40대 이상  \n",
       "1469                   3                       1                     2   30-40  \n",
       "\n",
       "[1470 rows x 36 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f9cc17cb-6469-4bc9-ad05-35aa2f459fe3",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>count</th>\n",
       "      <th>ratio</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Age_gp</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>30 이하</th>\n",
       "      <td>100</td>\n",
       "      <td>386</td>\n",
       "      <td>25.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30-40</th>\n",
       "      <td>80</td>\n",
       "      <td>562</td>\n",
       "      <td>14.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40대 이상</th>\n",
       "      <td>57</td>\n",
       "      <td>522</td>\n",
       "      <td>10.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        sum  count  ratio\n",
       "Age_gp                   \n",
       "30 이하   100    386   25.9\n",
       "30-40    80    562   14.2\n",
       "40대 이상   57    522   10.9"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 연령대별 이직률 확인\n",
    "# 이직률 = 이직자 / 전체수 * 100\n",
    "# 30대 이하 이직률 = 30대 이하 이직자(Attrition sum) / 30대 이하 사람 수(Attrition count)\n",
    "df_gb = data.groupby('Age_gp')['Attrition'].agg(['sum','count'])\n",
    "df_gb['ratio'] = round(df_gb['sum']/df_gb['count'] *100, 1)\n",
    "df_gb\n",
    "# 연령대가 어릴수록 이직률이 높은것을 확인"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "941f4c45-0d0b-455c-841e-62cab5f1e576",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>sum</th>\n",
       "      <th>count</th>\n",
       "      <th>ratio</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gender</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Female</th>\n",
       "      <td>87</td>\n",
       "      <td>588</td>\n",
       "      <td>14.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>150</td>\n",
       "      <td>882</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        sum  count  ratio\n",
       "Gender                   \n",
       "Female   87    588   14.8\n",
       "Male    150    882   17.0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 성별에 따른 이직률 현황\n",
    "# 성별 컬럼: 'Gender'\n",
    "data['Gender'].unique()\n",
    "df_gender = data.groupby('Gender')['Attrition'].agg(['sum','count'])\n",
    "df_gender['ratio'] = round(df_gender['sum']/ df_gender['count'] *100, 1)\n",
    "df_gender\n",
    "# 여성보다는 남성의 이직률이 조금 더 높은 것을 확인"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6134e82f-f99c-4ef0-bf94-15e5172f423a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th>sum</th>\n",
       "      <th>count</th>\n",
       "      <th>ratio</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Department</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Human Resources</th>\n",
       "      <td>12</td>\n",
       "      <td>63</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Research &amp; Development</th>\n",
       "      <td>133</td>\n",
       "      <td>961</td>\n",
       "      <td>13.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sales</th>\n",
       "      <td>92</td>\n",
       "      <td>446</td>\n",
       "      <td>20.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        sum  count  ratio\n",
       "Department                               \n",
       "Human Resources          12     63   19.0\n",
       "Research & Development  133    961   13.8\n",
       "Sales                    92    446   20.6"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 부서별 이직률 현황\n",
    "# Department\n",
    "data['Department'].unique()  #부서가 몇개 있는지 확인\n",
    "df_depart = data.groupby('Department')['Attrition'].agg(['sum','count']) \n",
    "df_depart['ratio'] = round(df_depart['sum'] / df_depart['count'] *100,1)\n",
    "df_depart"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38b0de0c-b1bd-46e3-a216-83e9f18380df",
   "metadata": {},
   "source": [
    "### 가설1 : 업무만족도는 높으나 인간관계로 인한 이직률이 높을 것이다"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "2b5fc604-3826-4a7f-b95d-43302f68a4b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RelationshipSatisfaction</th>\n",
       "      <th>JobSatisfaction</th>\n",
       "      <th>Attrition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
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       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   RelationshipSatisfaction  JobSatisfaction  Attrition\n",
       "0                         1                4          1\n",
       "1                         4                2          0\n",
       "2                         2                3          1\n",
       "3                         3                3          0\n",
       "4                         4                2          0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 인간관계 만족도와 업무만족도의 상관관계 확인\n",
    "# 인간관계 만족도 : RelationshipSatisfaction, 업무만족도: JobSatisfaction\n",
    "# 숫자가 클수록 만족!\n",
    "data[['RelationshipSatisfaction','JobSatisfaction','Attrition']].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "638b1bc8-6cb9-4d7c-8050-e371b1919771",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <tbody>\n",
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       "      <th>1</th>\n",
       "      <td>66</td>\n",
       "      <td>289</td>\n",
       "      <td>22.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>46</td>\n",
       "      <td>280</td>\n",
       "      <td>16.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>73</td>\n",
       "      <td>442</td>\n",
       "      <td>16.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>52</td>\n",
       "      <td>459</td>\n",
       "      <td>11.3</td>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "                 sum  count  ratio\n",
       "JobSatisfaction                   \n",
       "1                 66    289   22.8\n",
       "2                 46    280   16.4\n",
       "3                 73    442   16.5\n",
       "4                 52    459   11.3"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 업무 만족도별 이직률 현황\n",
    "data['JobSatisfaction'].unique()\n",
    "df = data.groupby('JobSatisfaction')['Attrition'].agg(['sum','count'])\n",
    "df['ratio'] = round(df['sum'] / df['count']*100 , 1)\n",
    "df\n",
    "# 업무만족도가 낮을수록 이직률이 높다!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d58aac7e-fea5-4210-bcaa-961205a5c137",
   "metadata": {},
   "outputs": [
    {
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       "      <td>20.7</td>\n",
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       "      <th>2</th>\n",
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       "      <td>14.9</td>\n",
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       "      <th>3</th>\n",
       "      <td>71</td>\n",
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       "      <th>4</th>\n",
       "      <td>64</td>\n",
       "      <td>432</td>\n",
       "      <td>14.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          sum  count  ratio\n",
       "RelationshipSatisfaction                   \n",
       "1                          57    276   20.7\n",
       "2                          45    303   14.9\n",
       "3                          71    459   15.5\n",
       "4                          64    432   14.8"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 인간관계 만족도별 이직률 현황\n",
    "data['JobSatisfaction'].unique()\n",
    "df = data.groupby('RelationshipSatisfaction')['Attrition'].agg(['sum','count'])\n",
    "df['ratio'] = round(df['sum'] / df['count']*100 , 1)\n",
    "df\n",
    "# 인간관계 만족도가 낮을수록 이직률이 높음"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b145a754-f23f-4584-9ff4-11a8def370e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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></th>\n",
       "      <th>sum</th>\n",
       "      <th>count</th>\n",
       "      <th>ratio</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JobSatisfaction</th>\n",
       "      <th>RelationshipSatisfaction</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">1</th>\n",
       "      <th>1</th>\n",
       "      <td>16</td>\n",
       "      <td>54</td>\n",
       "      <td>29.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>15</td>\n",
       "      <td>57</td>\n",
       "      <td>26.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>22</td>\n",
       "      <td>91</td>\n",
       "      <td>24.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>13</td>\n",
       "      <td>87</td>\n",
       "      <td>14.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">2</th>\n",
       "      <th>1</th>\n",
       "      <td>15</td>\n",
       "      <td>53</td>\n",
       "      <td>28.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>57</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>13</td>\n",
       "      <td>81</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10</td>\n",
       "      <td>89</td>\n",
       "      <td>11.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">3</th>\n",
       "      <th>1</th>\n",
       "      <td>16</td>\n",
       "      <td>85</td>\n",
       "      <td>18.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>11</td>\n",
       "      <td>94</td>\n",
       "      <td>11.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>19</td>\n",
       "      <td>133</td>\n",
       "      <td>14.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>27</td>\n",
       "      <td>130</td>\n",
       "      <td>20.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">4</th>\n",
       "      <th>1</th>\n",
       "      <td>10</td>\n",
       "      <td>84</td>\n",
       "      <td>11.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>11</td>\n",
       "      <td>95</td>\n",
       "      <td>11.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>17</td>\n",
       "      <td>154</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>14</td>\n",
       "      <td>126</td>\n",
       "      <td>11.1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          sum  count  ratio\n",
       "JobSatisfaction RelationshipSatisfaction                   \n",
       "1               1                          16     54   29.6\n",
       "                2                          15     57   26.3\n",
       "                3                          22     91   24.2\n",
       "                4                          13     87   14.9\n",
       "2               1                          15     53   28.3\n",
       "                2                           8     57   14.0\n",
       "                3                          13     81   16.0\n",
       "                4                          10     89   11.2\n",
       "3               1                          16     85   18.8\n",
       "                2                          11     94   11.7\n",
       "                3                          19    133   14.3\n",
       "                4                          27    130   20.8\n",
       "4               1                          10     84   11.9\n",
       "                2                          11     95   11.6\n",
       "                3                          17    154   11.0\n",
       "                4                          14    126   11.1"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 인간관계, 업무만족도 두 컬럼의 관계 확인\n",
    "df = data.groupby(['JobSatisfaction','RelationshipSatisfaction'])['Attrition'].agg(['sum','count'])\n",
    "df['ratio'] = round(df['sum'] / df['count']*100 , 1)\n",
    "df\n",
    "# 결과 해석\n",
    "# 업무만족도가 높은 직원은 인간관계에 따른 이직률 변동이 적다(영향을 덜받음)\n",
    "# 업무만족도가 낮은 직원은 이직률에 인간관계 영향력이 큰 것 확인\n",
    "\n",
    "# 우리의 가설: 업무만족도는 높으나 인간관계로 인한 이직률이 높을것이다\n",
    "# 우리의 가설이 잘못 설정 -> 가설 수정 -> 결과 확인\n",
    "# 업무만족도가 이직률에 미치는 영향이 더 높구나! -> 직원들의 엄무만족도 향상을 위해 힘쓸것! "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35dc9471-79de-431f-ac86-6aafb11d508d",
   "metadata": {},
   "source": [
    "### 가설2: 근속년수 대비 같은 업무를 한 비중이 높다면 이직률이 높을 것이다!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "321cd6bd-bc9c-4889-bf92-d86afa24c0ae",
   "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>YearsInCurrentRole</th>\n",
       "      <th>YearsAtCompany</th>\n",
       "      <th>Attrition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1465</th>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1466</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1467</th>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1468</th>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1469</th>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1470 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      YearsInCurrentRole  YearsAtCompany  Attrition\n",
       "0                      4               6          1\n",
       "1                      7              10          0\n",
       "2                      0               0          1\n",
       "3                      7               8          0\n",
       "4                      2               2          0\n",
       "...                  ...             ...        ...\n",
       "1465                   2               5          0\n",
       "1466                   7               7          0\n",
       "1467                   2               6          0\n",
       "1468                   6               9          0\n",
       "1469                   3               4          0\n",
       "\n",
       "[1470 rows x 3 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# YearsInCurrentRole: 현재 역할에서 근무한 기간\n",
    "# YearsAtCompany : 현재까지 근무한 기간\n",
    "data[['YearsInCurrentRole','YearsAtCompany','Attrition']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "6bcb3642-38ee-4594-bc74-645d3be00279",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       0.666667\n",
       "1       0.700000\n",
       "2       0.000000\n",
       "3       0.875000\n",
       "4       1.000000\n",
       "          ...   \n",
       "1465    0.400000\n",
       "1466    1.000000\n",
       "1467    0.333333\n",
       "1468    0.666667\n",
       "1469    0.750000\n",
       "Name: Role_Company, Length: 1470, dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 근속년수 대비 한가지 업종에서 일한 비중\n",
    "data['Role_Company'] = data['YearsInCurrentRole'] / data['YearsAtCompany']\n",
    "data['Role_Company'].fillna(0, inplace=True)\n",
    "data['Role_Company']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "2e5ca44f-98fe-4a69-b6a3-f0bb28b47ec0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "49be6eee-089a-40cc-a3f6-6638fb10bfe9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Role_Company', ylabel='Density'>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Role_Company 분포 확인\n",
    "# distplot : 데이터의 부포를 확인하는데 주로 사용됨. \n",
    "# 히스토그램과 커널밀도추정을 함께 그려서 데이터의 분포를 확인\n",
    "sns.distplot(data['Role_Company'])"
   ]
  },
  {
   "attachments": {
    "5218c3d5-e779-4eb4-bf45-cff727ae3338.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "e8754e90-2309-4acd-aed0-c1a93a70337b",
   "metadata": {},
   "source": [
    "![image.png](attachment:5218c3d5-e779-4eb4-bf45-cff727ae3338.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "75964841-bfc6-4586-b965-127b83548cdc",
   "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>Role_Company</th>\n",
       "      <th>Role_Company_gp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.6 초과</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.6 초과</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.3 이하</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.875000</td>\n",
       "      <td>0.6 초과</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.6 초과</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1465</th>\n",
       "      <td>0.400000</td>\n",
       "      <td>0.3~0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1466</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.6 초과</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1467</th>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.3~0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1468</th>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.6 초과</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1469</th>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.6 초과</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1470 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Role_Company Role_Company_gp\n",
       "0         0.666667          0.6 초과\n",
       "1         0.700000          0.6 초과\n",
       "2         0.000000          0.3 이하\n",
       "3         0.875000          0.6 초과\n",
       "4         1.000000          0.6 초과\n",
       "...            ...             ...\n",
       "1465      0.400000         0.3~0.6\n",
       "1466      1.000000          0.6 초과\n",
       "1467      0.333333         0.3~0.6\n",
       "1468      0.666667          0.6 초과\n",
       "1469      0.750000          0.6 초과\n",
       "\n",
       "[1470 rows x 2 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 카테고리화\n",
    "# np.where()\n",
    "# '0.3이하', '0.3~0.6', '0.6 초과'\n",
    "data['Role_Company_gp'] = np.where(data['Role_Company'] <= 0.3, '0.3 이하', np.where(data['Role_Company'] <= 0.6, '0.3~0.6','0.6 초과'))\n",
    "data[['Role_Company','Role_Company_gp']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "a4826a1c-e98c-427f-9fad-723a0204a85d",
   "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>sum</th>\n",
       "      <th>count</th>\n",
       "      <th>ratio</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Role_Company_gp</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.3 이하</th>\n",
       "      <td>89</td>\n",
       "      <td>323</td>\n",
       "      <td>27.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.3~0.6</th>\n",
       "      <td>38</td>\n",
       "      <td>321</td>\n",
       "      <td>11.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.6 초과</th>\n",
       "      <td>110</td>\n",
       "      <td>826</td>\n",
       "      <td>13.3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 sum  count  ratio\n",
       "Role_Company_gp                   \n",
       "0.3 이하            89    323   27.6\n",
       "0.3~0.6           38    321   11.8\n",
       "0.6 초과           110    826   13.3"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 근속년수 대비 같은 일을 오래 한 사람들의 이직률\n",
    "df = data.groupby('Role_Company_gp')['Attrition'].agg(['sum','count'])\n",
    "df['ratio'] = round(df['sum'] / df['count']*100 , 1)\n",
    "df.loc[['0.3 이하','0.3~0.6','0.6 초과']]\n",
    "# 근속년수 대비 같은 일을 짧게 한 사람일 수록 이직률이 높은 것!\n",
    "# 가설 수정 -> 근속년수 대비 한업무를 길게 할 수 있도록 권장"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8595d535-7886-4f51-8254-2d3765340ea6",
   "metadata": {},
   "source": [
    "### 가설3: 야근을 많이 해도 급여인상률이 높다면 이직률이 낮을 것이다!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "22adeb82-0424-4afa-9823-068e94c8d04f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sum</th>\n",
       "      <th>count</th>\n",
       "      <th>ratio</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OverTime</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>No</th>\n",
       "      <td>110</td>\n",
       "      <td>1054</td>\n",
       "      <td>10.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yes</th>\n",
       "      <td>127</td>\n",
       "      <td>416</td>\n",
       "      <td>30.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          sum  count  ratio\n",
       "OverTime                   \n",
       "No        110   1054   10.4\n",
       "Yes       127    416   30.5"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 야근 여부에 따른 이직률 현황\n",
    "# OverTime\n",
    "df = data.groupby('OverTime')['Attrition'].agg(['sum','count'])\n",
    "df['ratio'] = round(df['sum'] / df['count']*100 , 1)\n",
    "df\n",
    "# 야근을 많이 한사람은 이직률이 높음"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "eda3b80f-019c-4520-8a0e-1315354a4a52",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sum</th>\n",
       "      <th>count</th>\n",
       "      <th>ratio</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PercentSalaryHike</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>41</td>\n",
       "      <td>210</td>\n",
       "      <td>19.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>33</td>\n",
       "      <td>198</td>\n",
       "      <td>16.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>34</td>\n",
       "      <td>209</td>\n",
       "      <td>16.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>24</td>\n",
       "      <td>201</td>\n",
       "      <td>11.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>18</td>\n",
       "      <td>101</td>\n",
       "      <td>17.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>14</td>\n",
       "      <td>78</td>\n",
       "      <td>17.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>14</td>\n",
       "      <td>82</td>\n",
       "      <td>17.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>13</td>\n",
       "      <td>89</td>\n",
       "      <td>14.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>9</td>\n",
       "      <td>76</td>\n",
       "      <td>11.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>7</td>\n",
       "      <td>55</td>\n",
       "      <td>12.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>5</td>\n",
       "      <td>48</td>\n",
       "      <td>10.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>12</td>\n",
       "      <td>56</td>\n",
       "      <td>21.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>6</td>\n",
       "      <td>28</td>\n",
       "      <td>21.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>6</td>\n",
       "      <td>21</td>\n",
       "      <td>28.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>5.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   sum  count  ratio\n",
       "PercentSalaryHike                   \n",
       "11                  41    210   19.5\n",
       "12                  33    198   16.7\n",
       "13                  34    209   16.3\n",
       "14                  24    201   11.9\n",
       "15                  18    101   17.8\n",
       "16                  14     78   17.9\n",
       "17                  14     82   17.1\n",
       "18                  13     89   14.6\n",
       "19                   9     76   11.8\n",
       "20                   7     55   12.7\n",
       "21                   5     48   10.4\n",
       "22                  12     56   21.4\n",
       "23                   6     28   21.4\n",
       "24                   6     21   28.6\n",
       "25                   1     18    5.6"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 연봉인상률에 따른 이직률 현황\n",
    "# PercentSalaryHike\n",
    "df = data.groupby('PercentSalaryHike')['Attrition'].agg(['sum','count'])\n",
    "df['ratio'] = round(df['sum'] / df['count']*100 , 1)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "1d41207a-c704-4448-94be-404d61d892dd",
   "metadata": {},
   "outputs": [
    {
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       "      <th>OverTime</th>\n",
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       "      <th></th>\n",
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       "  <tbody>\n",
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       "      <th rowspan=\"15\" valign=\"top\">No</th>\n",
       "      <th>11</th>\n",
       "      <td>19</td>\n",
       "      <td>149</td>\n",
       "      <td>12.8</td>\n",
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       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>18</td>\n",
       "      <td>139</td>\n",
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       "      <th>13</th>\n",
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       "      <th>15</th>\n",
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       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>5</td>\n",
       "      <td>60</td>\n",
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       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>3</td>\n",
       "      <td>55</td>\n",
       "      <td>5.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>4</td>\n",
       "      <td>40</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>22</th>\n",
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       "      <th>23</th>\n",
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       "      <td>5.3</td>\n",
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       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>8.3</td>\n",
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       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"15\" valign=\"top\">Yes</th>\n",
       "      <th>11</th>\n",
       "      <td>22</td>\n",
       "      <td>61</td>\n",
       "      <td>36.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>15</td>\n",
       "      <td>59</td>\n",
       "      <td>25.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>20</td>\n",
       "      <td>65</td>\n",
       "      <td>30.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>16</td>\n",
       "      <td>56</td>\n",
       "      <td>28.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>6</td>\n",
       "      <td>21</td>\n",
       "      <td>28.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>6</td>\n",
       "      <td>23</td>\n",
       "      <td>26.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>5</td>\n",
       "      <td>16</td>\n",
       "      <td>31.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>8</td>\n",
       "      <td>29</td>\n",
       "      <td>27.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>6</td>\n",
       "      <td>21</td>\n",
       "      <td>28.6</td>\n",
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       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>3</td>\n",
       "      <td>15</td>\n",
       "      <td>20.0</td>\n",
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       "    <tr>\n",
       "      <th>21</th>\n",
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       "      <td>12</td>\n",
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       "    <tr>\n",
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       "      <td>6</td>\n",
       "      <td>15</td>\n",
       "      <td>40.0</td>\n",
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       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>55.6</td>\n",
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       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>55.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            sum  count  ratio\n",
       "OverTime PercentSalaryHike                   \n",
       "No       11                  19    149   12.8\n",
       "         12                  18    139   12.9\n",
       "         13                  14    144    9.7\n",
       "         14                   8    145    5.5\n",
       "         15                  12     80   15.0\n",
       "         16                   8     55   14.5\n",
       "         17                   9     66   13.6\n",
       "         18                   5     60    8.3\n",
       "         19                   3     55    5.5\n",
       "         20                   4     40   10.0\n",
       "         21                   2     36    5.6\n",
       "         22                   6     41   14.6\n",
       "         23                   1     19    5.3\n",
       "         24                   1     12    8.3\n",
       "         25                   0     13    0.0\n",
       "Yes      11                  22     61   36.1\n",
       "         12                  15     59   25.4\n",
       "         13                  20     65   30.8\n",
       "         14                  16     56   28.6\n",
       "         15                   6     21   28.6\n",
       "         16                   6     23   26.1\n",
       "         17                   5     16   31.2\n",
       "         18                   8     29   27.6\n",
       "         19                   6     21   28.6\n",
       "         20                   3     15   20.0\n",
       "         21                   3     12   25.0\n",
       "         22                   6     15   40.0\n",
       "         23                   5      9   55.6\n",
       "         24                   5      9   55.6\n",
       "         25                   1      5   20.0"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 야근과 연봉인상률의 상관관계에 따른 이직률\n",
    "df = data.groupby(['OverTime','PercentSalaryHike'])['Attrition'].agg(['sum','count'])\n",
    "df['ratio'] = round(df['sum'] / df['count']*100 , 1)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "1b0e6c6e-2837-4cf2-b207-80e95ebf7117",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9.440000000000001"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 야근 No 직원들의 평균 이직률 확인\n",
    "temp = df.reset_index()\n",
    "temp[temp['OverTime'] == 'No']['ratio'].mean()\n",
    "# 야근을 하지않는 직원의 연봉 인상률"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "86ecdd12-844b-48c9-8786-f61a4669ea9b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "31.94666666666667"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 야근 Yes 직원들의 평군 이직률 확인\n",
    "temp = df.reset_index()\n",
    "temp[temp['OverTime'] == 'Yes']['ratio'].mean()\n",
    "# 결과 -> 야근을 많이 하는 직원일수록 이직률이 높음 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "f313ef61-998f-4361-84f9-591561203a56",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 야근 Yes 직원의 데이터 분석\n",
    "temp = df.reset_index()\n",
    "over_yes = temp[temp['OverTime'] == 'Yes']\n",
    "over_yes\n",
    "# 시각화(막대그래프, 연봉인상률(X), 이직률(y))\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.bar(over_yes['PercentSalaryHike'], over_yes['ratio'])\n",
    "plt.show()\n",
    "# 연봉인상률의 20%까지는 이직룰이 조금은 감소하는듯 싶으나\n",
    "# 21% 이상부터는 이직룰이 증가(핵심인재의 이탈)\n",
    "# 연봉인상률이 높은 직원의 야근시간을 줄이는 것이 핵심인재의 이탈을 방지하는 요소"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f9299a2-4995-4027-b622-3e83194b3ff1",
   "metadata": {},
   "source": [
    "### 모델선택 및 하이퍼 파라미터 조절\n",
    "- 데이터 타입별로 구분(숫자/ 문자)\n",
    "- 문자형태의 데이터는 인코딩 (숫자형태로 변경)\n",
    "- 데이터 정리(불필요한 컬럼 삭제)\n",
    "- X,y 분리\n",
    "- train, test 분리"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "ea6289b4-6650-4aa0-8e19-4a0c1879df6c",
   "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>Age</th>\n",
       "      <th>Attrition</th>\n",
       "      <th>BusinessTravel</th>\n",
       "      <th>DailyRate</th>\n",
       "      <th>Department</th>\n",
       "      <th>DistanceFromHome</th>\n",
       "      <th>Education</th>\n",
       "      <th>EducationField</th>\n",
       "      <th>EmployeeCount</th>\n",
       "      <th>EmployeeNumber</th>\n",
       "      <th>...</th>\n",
       "      <th>TotalWorkingYears</th>\n",
       "      <th>TrainingTimesLastYear</th>\n",
       "      <th>WorkLifeBalance</th>\n",
       "      <th>YearsAtCompany</th>\n",
       "      <th>YearsInCurrentRole</th>\n",
       "      <th>YearsSinceLastPromotion</th>\n",
       "      <th>YearsWithCurrManager</th>\n",
       "      <th>Age_gp</th>\n",
       "      <th>Role_Company</th>\n",
       "      <th>Role_Company_gp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>41</td>\n",
       "      <td>1</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>1102</td>\n",
       "      <td>Sales</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>40대 이상</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.6 초과</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "      <td>Travel_Frequently</td>\n",
       "      <td>279</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>40대 이상</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.6 초과</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>1373</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>Other</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30-40</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.3 이하</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>Travel_Frequently</td>\n",
       "      <td>1392</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>30-40</td>\n",
       "      <td>0.875000</td>\n",
       "      <td>0.6 초과</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>591</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>30 이하</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.6 초과</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\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",
       "      <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",
       "      <th>1465</th>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>Travel_Frequently</td>\n",
       "      <td>884</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>23</td>\n",
       "      <td>2</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1</td>\n",
       "      <td>2061</td>\n",
       "      <td>...</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>30-40</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>0.3~0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1466</th>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>613</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1</td>\n",
       "      <td>2062</td>\n",
       "      <td>...</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>30-40</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.6 초과</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1467</th>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>155</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>1</td>\n",
       "      <td>2064</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>30 이하</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.3~0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1468</th>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "      <td>Travel_Frequently</td>\n",
       "      <td>1023</td>\n",
       "      <td>Sales</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1</td>\n",
       "      <td>2065</td>\n",
       "      <td>...</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>40대 이상</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.6 초과</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1469</th>\n",
       "      <td>34</td>\n",
       "      <td>0</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>628</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1</td>\n",
       "      <td>2068</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>30-40</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.6 초과</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1470 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Age  Attrition     BusinessTravel  DailyRate              Department  \\\n",
       "0      41          1      Travel_Rarely       1102                   Sales   \n",
       "1      49          0  Travel_Frequently        279  Research & Development   \n",
       "2      37          1      Travel_Rarely       1373  Research & Development   \n",
       "3      33          0  Travel_Frequently       1392  Research & Development   \n",
       "4      27          0      Travel_Rarely        591  Research & Development   \n",
       "...   ...        ...                ...        ...                     ...   \n",
       "1465   36          0  Travel_Frequently        884  Research & Development   \n",
       "1466   39          0      Travel_Rarely        613  Research & Development   \n",
       "1467   27          0      Travel_Rarely        155  Research & Development   \n",
       "1468   49          0  Travel_Frequently       1023                   Sales   \n",
       "1469   34          0      Travel_Rarely        628  Research & Development   \n",
       "\n",
       "      DistanceFromHome  Education EducationField  EmployeeCount  \\\n",
       "0                    1          2  Life Sciences              1   \n",
       "1                    8          1  Life Sciences              1   \n",
       "2                    2          2          Other              1   \n",
       "3                    3          4  Life Sciences              1   \n",
       "4                    2          1        Medical              1   \n",
       "...                ...        ...            ...            ...   \n",
       "1465                23          2        Medical              1   \n",
       "1466                 6          1        Medical              1   \n",
       "1467                 4          3  Life Sciences              1   \n",
       "1468                 2          3        Medical              1   \n",
       "1469                 8          3        Medical              1   \n",
       "\n",
       "      EmployeeNumber  ...  TotalWorkingYears TrainingTimesLastYear  \\\n",
       "0                  1  ...                  8                     0   \n",
       "1                  2  ...                 10                     3   \n",
       "2                  4  ...                  7                     3   \n",
       "3                  5  ...                  8                     3   \n",
       "4                  7  ...                  6                     3   \n",
       "...              ...  ...                ...                   ...   \n",
       "1465            2061  ...                 17                     3   \n",
       "1466            2062  ...                  9                     5   \n",
       "1467            2064  ...                  6                     0   \n",
       "1468            2065  ...                 17                     3   \n",
       "1469            2068  ...                  6                     3   \n",
       "\n",
       "      WorkLifeBalance  YearsAtCompany  YearsInCurrentRole  \\\n",
       "0                   1               6                   4   \n",
       "1                   3              10                   7   \n",
       "2                   3               0                   0   \n",
       "3                   3               8                   7   \n",
       "4                   3               2                   2   \n",
       "...               ...             ...                 ...   \n",
       "1465                3               5                   2   \n",
       "1466                3               7                   7   \n",
       "1467                3               6                   2   \n",
       "1468                2               9                   6   \n",
       "1469                4               4                   3   \n",
       "\n",
       "     YearsSinceLastPromotion  YearsWithCurrManager  Age_gp  Role_Company  \\\n",
       "0                          0                     5  40대 이상      0.666667   \n",
       "1                          1                     7  40대 이상      0.700000   \n",
       "2                          0                     0   30-40      0.000000   \n",
       "3                          3                     0   30-40      0.875000   \n",
       "4                          2                     2   30 이하      1.000000   \n",
       "...                      ...                   ...     ...           ...   \n",
       "1465                       0                     3   30-40      0.400000   \n",
       "1466                       1                     7   30-40      1.000000   \n",
       "1467                       0                     3   30 이하      0.333333   \n",
       "1468                       0                     8  40대 이상      0.666667   \n",
       "1469                       1                     2   30-40      0.750000   \n",
       "\n",
       "      Role_Company_gp  \n",
       "0              0.6 초과  \n",
       "1              0.6 초과  \n",
       "2              0.3 이하  \n",
       "3              0.6 초과  \n",
       "4              0.6 초과  \n",
       "...               ...  \n",
       "1465          0.3~0.6  \n",
       "1466           0.6 초과  \n",
       "1467          0.3~0.6  \n",
       "1468           0.6 초과  \n",
       "1469           0.6 초과  \n",
       "\n",
       "[1470 rows x 38 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "189ade97-a96d-4498-bd87-0cfa89d2a2a8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "int64 False\n",
      "int32 False\n",
      "object True\n",
      "int64 False\n",
      "object True\n",
      "int64 False\n",
      "int64 False\n",
      "object True\n",
      "int64 False\n",
      "int64 False\n",
      "int64 False\n",
      "object True\n",
      "int64 False\n",
      "int64 False\n",
      "int64 False\n",
      "object True\n",
      "int64 False\n",
      "object True\n",
      "int64 False\n",
      "int64 False\n",
      "int64 False\n",
      "object True\n",
      "object True\n",
      "int64 False\n",
      "int64 False\n",
      "int64 False\n",
      "int64 False\n",
      "int64 False\n",
      "int64 False\n",
      "int64 False\n",
      "int64 False\n",
      "int64 False\n",
      "int64 False\n",
      "int64 False\n",
      "int64 False\n",
      "object True\n",
      "float64 False\n",
      "object True\n"
     ]
    }
   ],
   "source": [
    "# 데이터 타입에 따른 컬럼 분리\n",
    "for i in data.columns:\n",
    "    print(data[i].dtype, data[i].dtype == 'O')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "55ff70e5-3556-4235-a0d6-494dd93f1498",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 숫자타입의 컬럼과 문자 타입의 컬럼을 각각 리스트에 저장\n",
    "numeric_list = []\n",
    "categorical_list = []\n",
    "\n",
    "for i in data.columns:\n",
    "    if data[i].dtype == 'O':\n",
    "        categorical_list.append(i)\n",
    "    else:\n",
    "        numeric_list.append(i)   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "d6a364ab-a432-43f2-9ab6-90265e64f83f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 모델링을 위한 데이터 분리\n",
    "# 문제(X), 정답(y)\n",
    "# 가설 확인을 위해 만들 컬럼들은 삭제\n",
    "X = data.drop(['Attrition','Age_gp','Role_Company','Role_Company_gp'], axis = 1)\n",
    "y = data['Attrition']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "79eea8fe-4a28-4f46-8a28-450b4bf3b587",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 레이블 인코딩 - \n",
    "# BusinessTravel : 출장빈도 -> Non-Travel, Travel_Rarely, Travel_Frequently\t\n",
    "# 출장이 많을수록 이직률에 영향을 많이 미치지 않을까?\n",
    "# 출장이 잦은 데이터에는 높은 숫자를 매칭\n",
    "\n",
    "# 딕셔너리를 통해서 각 데이터에 숫자 매칭\n",
    "BT_dict = {'Non-Travel':0, 'Travel_Rarely':1, 'Travel_Frequently':2}\n",
    "\n",
    "# map() : 값을 매핑해주는 함수 같은 키값을 밸류로 변경\n",
    "X['BusinessTravel'] = X['BusinessTravel'].map(BT_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "5d2cc052-fa34-4858-badc-2b7fa1e2f29e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       1\n",
       "1       2\n",
       "2       1\n",
       "3       2\n",
       "4       1\n",
       "       ..\n",
       "1465    2\n",
       "1466    1\n",
       "1467    1\n",
       "1468    2\n",
       "1469    1\n",
       "Name: BusinessTravel, Length: 1470, dtype: int64"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X['BusinessTravel']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "cb71b5f2-109e-414d-b3c9-ffd782fc2867",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 나머지 컬럼은 원핫인코딩 진행!\n",
    "# 원핫인코딩 - 우선순위가 없을 때 사용\n",
    "X_one_hot = pd.get_dummies(X, dtype = int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "9c8068ac-3ca9-4dad-ad68-d8b9a238acad",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 데이터 분리 도구 불러오기\n",
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(X_one_hot, y, test_size=0.3, random_state=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "7128ea11-9ceb-4e59-bd34-5edcb514839b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1029, 53)\n",
      "(1029,)\n",
      "(441, 53)\n",
      "(441,)\n"
     ]
    }
   ],
   "source": [
    "#데이터 크기확인\n",
    "print(X_train.shape)\n",
    "print(y_train.shape)\n",
    "print(X_test.shape)\n",
    "print(y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2217dea-47a0-4c19-9fc8-a951a9212fd7",
   "metadata": {},
   "source": [
    "### 모델링\n",
    "- 모델 객체생성\n",
    "- 모델 학습\n",
    "- 모델 평가"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "e37666dd-5716-4475-88ac-9af3d84985c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 모델 객체생성 LogisticRegression\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "logi_model = LogisticRegression()  #객체생성 시 ()소괄호 사용해주기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "292c8878-aa17-4159-b4c7-1540ab64957f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "LogisticRegression()"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 모델 학습\n",
    "# 모델명.fit(학습용문제, 학습용정답)\n",
    "logi_model.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "f20a5954-0574-4894-836f-b18c4ef254d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8253968253968254"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 모델 평가\n",
    "# 모델명.score(테스트용 문제, 테스트용 정답)\n",
    "logi_model.score(X_test, y_test)\n",
    "# 정확도 (accuracy )"
   ]
  },
  {
   "attachments": {
    "1161027a-c424-4dbb-9813-677db21b4292.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "9da9e366-eeae-4208-8ecc-054d94ba16b2",
   "metadata": {},
   "source": [
    "### 교차검증\n",
    "- 모델의 일반화 성능평가\n",
    "- 일반화 성능 측정 방법: 모델이 데이터에 대해 얼마나 잘 맞추는 지 한번에 평가하는 것보다 여러번 나누어 평가하는 것이 신뢰성이 높다.\n",
    "- 방법 : (훈련용데이터 내에서) 훈련세트와 테스트세트로 나누어 여러겹 학습 및 평가\n",
    "- 최종 평가전에 평균 정확도 확인\n",
    "- 평균적인 성능을 확인하면, 한번 평가하는 것 보다 일반화에 대한 판단을 할 수 있다.\n",
    "- 과대적합인지 아닌지를 확인하는 과정으로써, 과대적합을 제어하는 것은 아님!\n",
    "- 일반화(어떤 데이터셋이 들어와도 평균적인 성능을 보임) 정도를 확인\n",
    "![image.png](attachment:1161027a-c424-4dbb-9813-677db21b4292.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "0f065464-cacf-41c2-a837-6ceda89d47af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8454842529007814"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 교차검증\n",
    "from sklearn.model_selection import cross_val_score #교차검증 도구\n",
    "# cross_val_score(모델명, 학습용문제, 학습용정답, cv=5)\n",
    "result = cross_val_score(logi_model,X_train, y_train, cv = 5)\n",
    "result.mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e1ae865e-e0db-4009-9d54-b1afabc32a15",
   "metadata": {},
   "source": [
    "# Support vector machine(SVM)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "a548525c-7742-4460-b82f-299bef61bbd5",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.svm import LinearSVC  #분류모델\n",
    "# 모델 객체생성\n",
    "svm_model = LinearSVC()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "0daf852b-f1da-4deb-9012-9d8199c7e95f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LinearSVC()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LinearSVC</label><div class=\"sk-toggleable__content\"><pre>LinearSVC()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "LinearSVC()"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 모델 학습\n",
    "# model.fit(학습용문제, 학습용 정답)\n",
    "svm_model.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "a2be0eb3-78bf-4d2a-af5e-a5b80edf1217",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8253968253968254"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 모델 평가\n",
    "# model.score(테스트용 문제, 테스트용 정답)\n",
    "svm_model.score(X_test, y_test)\n",
    "# 분류평가지표: 정확도 accuracy -> 0~1 -> 1에 가까울 수록 좋음"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "22e7a0b2-9cfd-4799-a3e5-9fa54de662f4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.83980583, 0.24271845, 0.84466019, 0.84466019, 0.84390244])"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 교차검증\n",
    "result = cross_val_score(svm_model,X_train, y_train, cv = 5)\n",
    "result"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc7ebff2-7b19-4863-8d32-e382827a8db7",
   "metadata": {},
   "source": [
    "### 평가지표\n",
    "- 정확도(accuracy) : 전제 데이터중에서 정답을 맞춘 비율\n",
    "- 재현율(recall) : 실제양성중에서 예측 양성의 비율\n",
    "- 정밀도(pricision) : 예측양성중에서 실제양성의 비율\n",
    "- f-1 score : 재현율과 정밀도의 조화 평균\n",
    "- classification_report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "bb36512a-f70f-476c-97dd-ce6963e6b0f1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.83      1.00      0.90       364\n",
      "           1       0.50      0.01      0.03        77\n",
      "\n",
      "    accuracy                           0.83       441\n",
      "   macro avg       0.66      0.51      0.46       441\n",
      "weighted avg       0.77      0.83      0.75       441\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report\n",
    "# classification_report(실제정답, 예측정답)\n",
    "# 얘측 -> 학습모델.predict(테스트용문제)\n",
    "\n",
    "#logi_logi_model 예측결과\n",
    "logi_pre = logi_model.predict(X_test)\n",
    "print(classification_report(y_test, logi_pre))\n",
    "\n",
    "# support: 각 클래스의 실제 샘플 수\n",
    "# class 0: 대부분 정확하게 맞추고 있음\n",
    "# class 1: 매우 낮은 결과값 확인 -> 모델이 class가 1인 경우에는 전혀 예측을 하지 못하고 있음\n",
    "# accuracy 0.84로서 보통수준이지만, class 1인 경우에 많이 오답을 예측 -> 평군점수가 낮아진것 같음\n",
    "# 결론, 모델은 class 0에 대해서는 잘 예측하였지만, class 1에 대해서는 예측성이 낮음.\n",
    "# 이는 데이터클래스의 불균형문제를 해결하거나, 모델의 성능을 개선해야할 필요가 있음."
   ]
  },
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