NewData.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e392c1d2-f07d-4abe-9a87-906b351f2219",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from collections import Counter\n",
    "from mycolorpy import colorlist as mcp\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38913cf1-4650-4da1-a928-b00f83855b98",
   "metadata": {},
   "source": [
    "## Goodreads10k"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b550d06e-e59e-4bea-95f4-2b1489641959",
   "metadata": {},
   "outputs": [],
   "source": [
    "location = 'data/goodbooks-10k/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a343290d-713f-473b-a454-c23bdcb261f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "g10k_ratings = pd.read_csv(location+'ratings.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d1d57bb4-2695-47dd-b11c-371d2f25dc12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([5, 4, 3, 2, 1])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g10k_ratings.rating.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f77a8196-a329-4d64-9948-5c62c904f646",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\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>user_id</th>\n",
       "      <th>book_id</th>\n",
       "      <th>rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>258</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>4081</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>260</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>9296</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>2318</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   user_id  book_id  rating\n",
       "0        1      258       5\n",
       "1        2     4081       4\n",
       "2        2      260       5\n",
       "3        2     9296       5\n",
       "4        2     2318       3"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g10k_ratings.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6f19d6b9-688d-4ef9-94cc-85c511ffc6eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "g10k_books = pd.read_csv(location+'books.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "fb1d1eda-80b5-4a1c-bff8-2faaf91dbb0e",
   "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>book_id</th>\n",
       "      <th>goodreads_book_id</th>\n",
       "      <th>best_book_id</th>\n",
       "      <th>work_id</th>\n",
       "      <th>books_count</th>\n",
       "      <th>isbn</th>\n",
       "      <th>isbn13</th>\n",
       "      <th>authors</th>\n",
       "      <th>original_publication_year</th>\n",
       "      <th>original_title</th>\n",
       "      <th>...</th>\n",
       "      <th>ratings_count</th>\n",
       "      <th>work_ratings_count</th>\n",
       "      <th>work_text_reviews_count</th>\n",
       "      <th>ratings_1</th>\n",
       "      <th>ratings_2</th>\n",
       "      <th>ratings_3</th>\n",
       "      <th>ratings_4</th>\n",
       "      <th>ratings_5</th>\n",
       "      <th>image_url</th>\n",
       "      <th>small_image_url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2767052</td>\n",
       "      <td>2767052</td>\n",
       "      <td>2792775</td>\n",
       "      <td>272</td>\n",
       "      <td>439023483</td>\n",
       "      <td>9.780439e+12</td>\n",
       "      <td>Suzanne Collins</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>The Hunger Games</td>\n",
       "      <td>...</td>\n",
       "      <td>4780653</td>\n",
       "      <td>4942365</td>\n",
       "      <td>155254</td>\n",
       "      <td>66715</td>\n",
       "      <td>127936</td>\n",
       "      <td>560092</td>\n",
       "      <td>1481305</td>\n",
       "      <td>2706317</td>\n",
       "      <td>https://images.gr-assets.com/books/1447303603m...</td>\n",
       "      <td>https://images.gr-assets.com/books/1447303603s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>4640799</td>\n",
       "      <td>491</td>\n",
       "      <td>439554934</td>\n",
       "      <td>9.780440e+12</td>\n",
       "      <td>J.K. Rowling, Mary GrandPré</td>\n",
       "      <td>1997.0</td>\n",
       "      <td>Harry Potter and the Philosopher's Stone</td>\n",
       "      <td>...</td>\n",
       "      <td>4602479</td>\n",
       "      <td>4800065</td>\n",
       "      <td>75867</td>\n",
       "      <td>75504</td>\n",
       "      <td>101676</td>\n",
       "      <td>455024</td>\n",
       "      <td>1156318</td>\n",
       "      <td>3011543</td>\n",
       "      <td>https://images.gr-assets.com/books/1474154022m...</td>\n",
       "      <td>https://images.gr-assets.com/books/1474154022s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>41865</td>\n",
       "      <td>41865</td>\n",
       "      <td>3212258</td>\n",
       "      <td>226</td>\n",
       "      <td>316015849</td>\n",
       "      <td>9.780316e+12</td>\n",
       "      <td>Stephenie Meyer</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>Twilight</td>\n",
       "      <td>...</td>\n",
       "      <td>3866839</td>\n",
       "      <td>3916824</td>\n",
       "      <td>95009</td>\n",
       "      <td>456191</td>\n",
       "      <td>436802</td>\n",
       "      <td>793319</td>\n",
       "      <td>875073</td>\n",
       "      <td>1355439</td>\n",
       "      <td>https://images.gr-assets.com/books/1361039443m...</td>\n",
       "      <td>https://images.gr-assets.com/books/1361039443s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2657</td>\n",
       "      <td>2657</td>\n",
       "      <td>3275794</td>\n",
       "      <td>487</td>\n",
       "      <td>61120081</td>\n",
       "      <td>9.780061e+12</td>\n",
       "      <td>Harper Lee</td>\n",
       "      <td>1960.0</td>\n",
       "      <td>To Kill a Mockingbird</td>\n",
       "      <td>...</td>\n",
       "      <td>3198671</td>\n",
       "      <td>3340896</td>\n",
       "      <td>72586</td>\n",
       "      <td>60427</td>\n",
       "      <td>117415</td>\n",
       "      <td>446835</td>\n",
       "      <td>1001952</td>\n",
       "      <td>1714267</td>\n",
       "      <td>https://images.gr-assets.com/books/1361975680m...</td>\n",
       "      <td>https://images.gr-assets.com/books/1361975680s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>4671</td>\n",
       "      <td>4671</td>\n",
       "      <td>245494</td>\n",
       "      <td>1356</td>\n",
       "      <td>743273567</td>\n",
       "      <td>9.780743e+12</td>\n",
       "      <td>F. Scott Fitzgerald</td>\n",
       "      <td>1925.0</td>\n",
       "      <td>The Great Gatsby</td>\n",
       "      <td>...</td>\n",
       "      <td>2683664</td>\n",
       "      <td>2773745</td>\n",
       "      <td>51992</td>\n",
       "      <td>86236</td>\n",
       "      <td>197621</td>\n",
       "      <td>606158</td>\n",
       "      <td>936012</td>\n",
       "      <td>947718</td>\n",
       "      <td>https://images.gr-assets.com/books/1490528560m...</td>\n",
       "      <td>https://images.gr-assets.com/books/1490528560s...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   book_id  goodreads_book_id  best_book_id  work_id  books_count       isbn  \\\n",
       "0        1            2767052       2767052  2792775          272  439023483   \n",
       "1        2                  3             3  4640799          491  439554934   \n",
       "2        3              41865         41865  3212258          226  316015849   \n",
       "3        4               2657          2657  3275794          487   61120081   \n",
       "4        5               4671          4671   245494         1356  743273567   \n",
       "\n",
       "         isbn13                      authors  original_publication_year  \\\n",
       "0  9.780439e+12              Suzanne Collins                     2008.0   \n",
       "1  9.780440e+12  J.K. Rowling, Mary GrandPré                     1997.0   \n",
       "2  9.780316e+12              Stephenie Meyer                     2005.0   \n",
       "3  9.780061e+12                   Harper Lee                     1960.0   \n",
       "4  9.780743e+12          F. Scott Fitzgerald                     1925.0   \n",
       "\n",
       "                             original_title  ... ratings_count  \\\n",
       "0                          The Hunger Games  ...       4780653   \n",
       "1  Harry Potter and the Philosopher's Stone  ...       4602479   \n",
       "2                                  Twilight  ...       3866839   \n",
       "3                     To Kill a Mockingbird  ...       3198671   \n",
       "4                          The Great Gatsby  ...       2683664   \n",
       "\n",
       "  work_ratings_count  work_text_reviews_count  ratings_1  ratings_2  \\\n",
       "0            4942365                   155254      66715     127936   \n",
       "1            4800065                    75867      75504     101676   \n",
       "2            3916824                    95009     456191     436802   \n",
       "3            3340896                    72586      60427     117415   \n",
       "4            2773745                    51992      86236     197621   \n",
       "\n",
       "   ratings_3  ratings_4  ratings_5  \\\n",
       "0     560092    1481305    2706317   \n",
       "1     455024    1156318    3011543   \n",
       "2     793319     875073    1355439   \n",
       "3     446835    1001952    1714267   \n",
       "4     606158     936012     947718   \n",
       "\n",
       "                                           image_url  \\\n",
       "0  https://images.gr-assets.com/books/1447303603m...   \n",
       "1  https://images.gr-assets.com/books/1474154022m...   \n",
       "2  https://images.gr-assets.com/books/1361039443m...   \n",
       "3  https://images.gr-assets.com/books/1361975680m...   \n",
       "4  https://images.gr-assets.com/books/1490528560m...   \n",
       "\n",
       "                                     small_image_url  \n",
       "0  https://images.gr-assets.com/books/1447303603s...  \n",
       "1  https://images.gr-assets.com/books/1474154022s...  \n",
       "2  https://images.gr-assets.com/books/1361039443s...  \n",
       "3  https://images.gr-assets.com/books/1361975680s...  \n",
       "4  https://images.gr-assets.com/books/1490528560s...  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g10k_books.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "6f4a3ca0-40c8-487d-8631-9ffd8feb4eff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10000"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(g10k_ratings.book_id.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "943d5b53-1a85-4e73-8ca7-fd741a5d9f25",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "53424"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(g10k_ratings.user_id.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "966b62fa-efb6-41d4-ac16-a2ac850b4286",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5976479"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(g10k_ratings)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2b0f66b-15fe-41df-aa9a-595e25273682",
   "metadata": {},
   "source": [
    "## DBC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "85a696a7-a586-4f33-8c17-7e6d70ced7ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "location = 'data/hack4dk2017/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6ec86b36-713e-49f4-8d03-4b424780ed46",
   "metadata": {},
   "outputs": [],
   "source": [
    "loans = pd.read_csv(location+'udlaan.csv.gz', compression='gzip')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ebc455f0-f2c8-4205-b873-0edfdf00ecb1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "238609626"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(loans)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "aa5b306a-2932-4373-adad-16aaecd25f5b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\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>laaner_id</th>\n",
       "      <th>biblioteks_id</th>\n",
       "      <th>materiale_id</th>\n",
       "      <th>koen</th>\n",
       "      <th>foedselsaar</th>\n",
       "      <th>dato</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>782000</td>\n",
       "      <td>870970-basis:27889107</td>\n",
       "      <td>k</td>\n",
       "      <td>1973-01-01</td>\n",
       "      <td>2015-03-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>782000</td>\n",
       "      <td>870970-basis:27873251</td>\n",
       "      <td>k</td>\n",
       "      <td>1973-01-01</td>\n",
       "      <td>2015-03-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>782000</td>\n",
       "      <td>870970-basis:28489595</td>\n",
       "      <td>k</td>\n",
       "      <td>1973-01-01</td>\n",
       "      <td>2015-03-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>782000</td>\n",
       "      <td>870970-basis:51267699</td>\n",
       "      <td>k</td>\n",
       "      <td>1973-01-01</td>\n",
       "      <td>2015-03-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>782000</td>\n",
       "      <td>870970-basis:51267699</td>\n",
       "      <td>k</td>\n",
       "      <td>1973-01-01</td>\n",
       "      <td>2015-03-04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   laaner_id  biblioteks_id           materiale_id koen foedselsaar  \\\n",
       "0          0         782000  870970-basis:27889107    k  1973-01-01   \n",
       "1          0         782000  870970-basis:27873251    k  1973-01-01   \n",
       "2          0         782000  870970-basis:28489595    k  1973-01-01   \n",
       "3          0         782000  870970-basis:51267699    k  1973-01-01   \n",
       "4          0         782000  870970-basis:51267699    k  1973-01-01   \n",
       "\n",
       "         dato  \n",
       "0  2015-03-04  \n",
       "1  2015-03-04  \n",
       "2  2015-03-04  \n",
       "3  2015-03-04  \n",
       "4  2015-03-04  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "loans.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "078b63c2-d991-4546-b8d7-5fc00de38766",
   "metadata": {},
   "outputs": [],
   "source": [
    "loans.columns = ['user','library','item', 'gender', 'birthyear', 'date']\n",
    "loans['item_processed'] = loans['item'].str.split(':').str[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "81b92078-66e3-4e07-a8ac-0aa632022dd9",
   "metadata": {},
   "outputs": [],
   "source": [
    "unique_users = loans.user.unique()\n",
    "unique_items = loans.item_processed.unique()\n",
    "num_users = len(unique_users)\n",
    "num_items = len(unique_items)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b2351ea5-5108-46a2-82cf-0274f8d65d5a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1650073, 607874)"
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     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_users, num_items"
   ]
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  {
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   "execution_count": 13,
   "id": "3fd76a8a-a56f-44ab-af6f-4e7b75c30a96",
   "metadata": {},
   "outputs": [
    {
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       "   user  library                   item gender   birthyear        date  \\\n",
       "0     0   782000  870970-basis:27889107      k  1973-01-01  2015-03-04   \n",
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       "\n",
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       "4       51267699  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "loans.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "995098f0-56f7-4039-b58c-03a5420d6c5e",
   "metadata": {},
   "outputs": [],
   "source": [
    "books = pd.read_csv(location+'materialer.csv.gz', compression='gzip', low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "46e80d0f-be60-4044-be6e-407dd20eabcd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "len(books), len(loans)"
   ]
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  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "4492b16a-e24c-4bb9-8d55-2de429577405",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>125030-katalog:000000002</td>\n",
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       "      <td>Horace Parlan</td>\n",
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       "                        _id language               creator subject-term  \\\n",
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       "2  125030-katalog:000000003      NaN       Frederik Lundin          NaN   \n",
       "3  125030-katalog:000000004      NaN         Horace Parlan          NaN   \n",
       "4  125030-katalog:000000005      NaN        Thomas Metcalf          NaN   \n",
       "\n",
       "                                               title   type  \n",
       "0  Koncert i Copenhagen Jazz House den 1.4.1995. ...  music  \n",
       "1  Koncert i Copenhagen Jazz House den 27.1.1995....  music  \n",
       "2      Koncert i Copenhagen Jazz House den 26.1.1995  music  \n",
       "3      Koncert i Copenhagen Jazz House den 29.4.1995  music  \n",
       "4  Koncert i Copenhagen Jazz House den 16.3.1995 ...  music  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "books.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d0c4b50-e644-4764-8acb-6ca2b2a0a005",
   "metadata": {},
   "source": [
    "Remember to remove what is not of type book!!!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "49cc5848-51c0-4732-b6d9-5950b2bc8127",
   "metadata": {},
   "outputs": [],
   "source": [
    "real_books = books[books.type=='book']\n",
    "real_books.columns = ['item','language','creatir', 'subject', 'title', 'type']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "1b7b6189-76e3-4eb1-9a15-18f746c56500",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_14696/4266023033.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  real_books['item_processed'] = real_books['item'].str.split(':').str[-1]\n"
     ]
    }
   ],
   "source": [
    "real_books['item_processed'] = real_books['item'].str.split(':').str[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "1db87193-5d18-46d8-b376-76766fafaaeb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4153488"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(real_books)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16af6e12-60d8-4afc-a63d-d9da7468d744",
   "metadata": {},
   "source": [
    "Move on!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "fb8bce18-e0c0-4fec-b0c4-f8f30a10e5df",
   "metadata": {},
   "outputs": [
    {
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       "                          item language                  creatir  \\\n",
       "5483615  870970-basis:00010006  Engelsk                      NaN   \n",
       "5483616  870970-basis:00010014     Tysk              Uwe Johnson   \n",
       "5483617  870970-basis:00010022     Tysk             Vollmer Hans   \n",
       "5483618  870970-basis:00010057   Fransk             Henri Troyat   \n",
       "5483619  870970-basis:00010081  Engelsk                      NaN   \n",
       "...                        ...      ...                      ...   \n",
       "7055031  870970-basis:80111703    Dansk                E. Müller   \n",
       "7055032  870970-basis:80111711    Dansk            M. Mackeprang   \n",
       "7055033  870970-basis:80111975    Dansk       Fr. Jürgensen West   \n",
       "7055034  870970-basis:80112262    Dansk                      NaN   \n",
       "7055035  870970-basis:86131617    Dansk  Skoven i Skolen projekt   \n",
       "\n",
       "                                                   subject  \\\n",
       "5483615    [ \"Encyklopædier. Konversationsleksika\", \"03\" ]   \n",
       "5483616                    [ \"Tysk skønlitteratur\", \"84\" ]   \n",
       "5483617                               [ \"99.37\", \"Kunst\" ]   \n",
       "5483618                  [ \"82\", \"Fransk skønlitteratur\" ]   \n",
       "5483619    [ \"Encyklopædier. Konversationsleksika\", \"03\" ]   \n",
       "...                                                    ...   \n",
       "7055031  [ \"nationalfølelse\", \"Schleswig-Holstein\", \"na...   \n",
       "7055032  [ \"Preussen\", \"1910-1919\", \"1800-1899\", \"Sønde...   \n",
       "7055033  [ \"1880-1889\", \"valg\", \"1870-1879\", \"1890-1899...   \n",
       "7055034  [ \"Andresen, Mathias (f. 1858-1916)\", \"Tysklan...   \n",
       "7055035  [ \"undervisningsmaterialer\", \"træindustri\", \"6...   \n",
       "\n",
       "                                                     title  type  \\\n",
       "5483615                            Chambers's encyclopædia  book   \n",
       "5483616                 Aus dem Leben von Gesine Cresspahl  book   \n",
       "5483617  Allgemeines Lexikon der bildenden Künstler des...  book   \n",
       "5483618                             Etrangers sur la terre  book   \n",
       "5483619  Encyclopaedia Britannica. Micropaedia : ready ...  book   \n",
       "...                                                    ...   ...   \n",
       "7055031  Hvor vejene skilles : billeder fra Nationalite...  book   \n",
       "7055032  Nordslesvig under Fremmedherredømmet : taktik ...  book   \n",
       "7055033  Statistik over Valgene til den tyske Rigsdag i...  book   \n",
       "7055034  Til Vælgerne i Flensborg-Ꜳbenrꜳ Valgkreds : Un...  book   \n",
       "7055035                                    Skoven i skolen  book   \n",
       "\n",
       "        item_processed  \n",
       "5483615       00010006  \n",
       "5483616       00010014  \n",
       "5483617       00010022  \n",
       "5483618       00010057  \n",
       "5483619       00010081  \n",
       "...                ...  \n",
       "7055031       80111703  \n",
       "7055032       80111711  \n",
       "7055033       80111975  \n",
       "7055034       80112262  \n",
       "7055035       86131617  \n",
       "\n",
       "[1107877 rows x 7 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "real_books[real_books.item.str.contains('870970-basis')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "915e1123-c762-421e-92bf-10249c8ba89e",
   "metadata": {},
   "outputs": [],
   "source": [
    "real_books = real_books.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "ff750eee-402d-4677-b873-5f12def8fe97",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th></th>\n",
       "      <th>item</th>\n",
       "      <th>language</th>\n",
       "      <th>creatir</th>\n",
       "      <th>subject</th>\n",
       "      <th>title</th>\n",
       "      <th>type</th>\n",
       "      <th>item_processed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>125030-katalog:000019542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Anon.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Concerto, anonym, G dur</td>\n",
       "      <td>book</td>\n",
       "      <td>000019542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>125030-katalog:000024265</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Herman Sandby</td>\n",
       "      <td>[ \"Orkestermusik uden soloinstrumenter\", \"78.4...</td>\n",
       "      <td>Sjællandsk Folkedans</td>\n",
       "      <td>book</td>\n",
       "      <td>000024265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>125030-katalog:000024276</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Karl Ottó Runólfsson</td>\n",
       "      <td>[ \"Orkestermusik uden soloinstrumenter\", \"78.4...</td>\n",
       "      <td>Draugadans úr Skugga-Sveini : Op. 7 nr. 4</td>\n",
       "      <td>book</td>\n",
       "      <td>000024276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>125030-katalog:000024396</td>\n",
       "      <td>NaN</td>\n",
       "      <td>August Enna</td>\n",
       "      <td>[ \"Orkestermusik uden soloinstrumenter\", \"78.4...</td>\n",
       "      <td>Poeme Lyrique</td>\n",
       "      <td>book</td>\n",
       "      <td>000024396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>125030-katalog:000028057</td>\n",
       "      <td>Flere sprog</td>\n",
       "      <td>Carl Nielsen</td>\n",
       "      <td>[ \"Operaer\", \"78.81:2\" ]</td>\n",
       "      <td>Saul und David. Oper in 4 Akten von Einar Chri...</td>\n",
       "      <td>book</td>\n",
       "      <td>000028057</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       item     language               creatir  \\\n",
       "0  125030-katalog:000019542          NaN                 Anon.   \n",
       "1  125030-katalog:000024265          NaN         Herman Sandby   \n",
       "2  125030-katalog:000024276          NaN  Karl Ottó Runólfsson   \n",
       "3  125030-katalog:000024396          NaN           August Enna   \n",
       "4  125030-katalog:000028057  Flere sprog          Carl Nielsen   \n",
       "\n",
       "                                             subject  \\\n",
       "0                                                NaN   \n",
       "1  [ \"Orkestermusik uden soloinstrumenter\", \"78.4...   \n",
       "2  [ \"Orkestermusik uden soloinstrumenter\", \"78.4...   \n",
       "3  [ \"Orkestermusik uden soloinstrumenter\", \"78.4...   \n",
       "4                           [ \"Operaer\", \"78.81:2\" ]   \n",
       "\n",
       "                                               title  type item_processed  \n",
       "0                            Concerto, anonym, G dur  book      000019542  \n",
       "1                               Sjællandsk Folkedans  book      000024265  \n",
       "2          Draugadans úr Skugga-Sveini : Op. 7 nr. 4  book      000024276  \n",
       "3                                      Poeme Lyrique  book      000024396  \n",
       "4  Saul und David. Oper in 4 Akten von Einar Chri...  book      000028057  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "real_books.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dce50037-80bb-48b5-ba23-a9af389fa9a6",
   "metadata": {},
   "source": [
    "##### Merge!!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "bd14f2df-480d-44fd-8b62-7c95cd778ea1",
   "metadata": {},
   "outputs": [],
   "source": [
    "loans_with_info = pd.merge(loans, real_books, on = 'item', how='inner')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "9db3cafe-9d38-4af2-a390-f6e9363f1bef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(238609626, 181670838)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(loans), len(loans_with_info)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "150e8e57-82da-4589-8ade-c46d358cdc39",
   "metadata": {},
   "outputs": [],
   "source": [
    "unique_loans_items = loans.drop_duplicates('item').item.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "2df69f8d-3c65-4684-af4d-588bbf9ca096",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "607885"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(unique_loans_items)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "6993afe5-1093-4a58-af45-35d2f712aa8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "books_in_loans = real_books[real_books.item.isin(unique_loans_items)].reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "a1b4da85-9195-44c2-8317-6ab3633e3d45",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4153488, 412742)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(real_books),len(books_in_loans)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f446975-ea1f-438e-9ff8-3c2822d99ef7",
   "metadata": {},
   "source": [
    "Out of the 4.1million books, 412,742 have participated in loans."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "1428650c-2bac-41c2-be8f-921f52cd4f5b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
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       "      <th>0</th>\n",
       "      <td>150008-academic:ebr10306242</td>\n",
       "      <td>Engelsk</td>\n",
       "      <td>Rainer Crime Concern</td>\n",
       "      <td>[ \"Juvenile delinquents -- Rehabilitation\", \"E...</td>\n",
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       "      <td>ebr10306242</td>\n",
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       "      <th>1</th>\n",
       "      <td>150008-academic:ebr10595446</td>\n",
       "      <td>Engelsk</td>\n",
       "      <td>Frederick Murphy</td>\n",
       "      <td>[ \"Public health administration\", \"Community h...</td>\n",
       "      <td>Community engagement, organization, and develo...</td>\n",
       "      <td>book</td>\n",
       "      <td>ebr10595446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>150008-academic:ebr10660579</td>\n",
       "      <td>Engelsk</td>\n",
       "      <td>Rachel A. Powsner</td>\n",
       "      <td>[ \"Electronic books\", \"Medical physics\", \"Nucl...</td>\n",
       "      <td>Essentials of nuclear medicine physics and ins...</td>\n",
       "      <td>book</td>\n",
       "      <td>ebr10660579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>150008-academic:ebr10660927</td>\n",
       "      <td>Engelsk</td>\n",
       "      <td>Donald Rayfield</td>\n",
       "      <td>[ \"Electronic books\", \"Georgia (Republic)\", \"G...</td>\n",
       "      <td>Edge of empires : a history of Georgia</td>\n",
       "      <td>book</td>\n",
       "      <td>ebr10660927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>150008-academic:ebr10828172</td>\n",
       "      <td>Engelsk</td>\n",
       "      <td>Joel Elad</td>\n",
       "      <td>[ \"Electronic books\", \"Computer networks\", \"Bu...</td>\n",
       "      <td>LinkedIn for dummies</td>\n",
       "      <td>book</td>\n",
       "      <td>ebr10828172</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412737</th>\n",
       "      <td>870970-basis:55094896</td>\n",
       "      <td>Dansk</td>\n",
       "      <td>Ejler Nielsen (f. 1916)</td>\n",
       "      <td>[ \"Enkelte lokaliteter uden for København\", \"G...</td>\n",
       "      <td>Træk af Gørding sogns historie</td>\n",
       "      <td>book</td>\n",
       "      <td>55094896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412738</th>\n",
       "      <td>870970-basis:55095000</td>\n",
       "      <td>Persisk</td>\n",
       "      <td>Sa¯diq Hida¯yat</td>\n",
       "      <td>[ \"Iranske litteraturer. Persisk litteratur\", ...</td>\n",
       "      <td>Complete works</td>\n",
       "      <td>book</td>\n",
       "      <td>55095000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412739</th>\n",
       "      <td>870970-basis:55095183</td>\n",
       "      <td>Tysk</td>\n",
       "      <td>Harriet Beecher Stowe</td>\n",
       "      <td>[ \"83\", \"Amerikansk skønlitteratur\", \"Engelsk ...</td>\n",
       "      <td>A key to Uncle Tom's cabin : presenting the or...</td>\n",
       "      <td>book</td>\n",
       "      <td>55095183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412740</th>\n",
       "      <td>874310-katalog:DBB0605044</td>\n",
       "      <td>Dansk</td>\n",
       "      <td>Ivar Cornelius Petersen (f. 1946)</td>\n",
       "      <td>[ \"Naturvidenskabelig teknik i alm.\", \"undervi...</td>\n",
       "      <td>Naturundersøgelser</td>\n",
       "      <td>book</td>\n",
       "      <td>DBB0605044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412741</th>\n",
       "      <td>874310-katalog:DBB0634737</td>\n",
       "      <td>Dansk</td>\n",
       "      <td>Charlotte Drejdal Dyekjær</td>\n",
       "      <td>[ \"Sygepleje\", \"pædiatrisk sygepleje\", \"pædiat...</td>\n",
       "      <td>Pædiatrisk håndbog i sygepleje</td>\n",
       "      <td>book</td>\n",
       "      <td>DBB0634737</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>412742 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               item language  \\\n",
       "0       150008-academic:ebr10306242  Engelsk   \n",
       "1       150008-academic:ebr10595446  Engelsk   \n",
       "2       150008-academic:ebr10660579  Engelsk   \n",
       "3       150008-academic:ebr10660927  Engelsk   \n",
       "4       150008-academic:ebr10828172  Engelsk   \n",
       "...                             ...      ...   \n",
       "412737        870970-basis:55094896    Dansk   \n",
       "412738        870970-basis:55095000  Persisk   \n",
       "412739        870970-basis:55095183     Tysk   \n",
       "412740    874310-katalog:DBB0605044    Dansk   \n",
       "412741    874310-katalog:DBB0634737    Dansk   \n",
       "\n",
       "                                  creatir  \\\n",
       "0                    Rainer Crime Concern   \n",
       "1                        Frederick Murphy   \n",
       "2                       Rachel A. Powsner   \n",
       "3                         Donald Rayfield   \n",
       "4                               Joel Elad   \n",
       "...                                   ...   \n",
       "412737            Ejler Nielsen (f. 1916)   \n",
       "412738                    Sa¯diq Hida¯yat   \n",
       "412739              Harriet Beecher Stowe   \n",
       "412740  Ivar Cornelius Petersen (f. 1946)   \n",
       "412741          Charlotte Drejdal Dyekjær   \n",
       "\n",
       "                                                  subject  \\\n",
       "0       [ \"Juvenile delinquents -- Rehabilitation\", \"E...   \n",
       "1       [ \"Public health administration\", \"Community h...   \n",
       "2       [ \"Electronic books\", \"Medical physics\", \"Nucl...   \n",
       "3       [ \"Electronic books\", \"Georgia (Republic)\", \"G...   \n",
       "4       [ \"Electronic books\", \"Computer networks\", \"Bu...   \n",
       "...                                                   ...   \n",
       "412737  [ \"Enkelte lokaliteter uden for København\", \"G...   \n",
       "412738  [ \"Iranske litteraturer. Persisk litteratur\", ...   \n",
       "412739  [ \"83\", \"Amerikansk skønlitteratur\", \"Engelsk ...   \n",
       "412740  [ \"Naturvidenskabelig teknik i alm.\", \"undervi...   \n",
       "412741  [ \"Sygepleje\", \"pædiatrisk sygepleje\", \"pædiat...   \n",
       "\n",
       "                                                    title  type item_processed  \n",
       "0       Children and young people in custody : managin...  book    ebr10306242  \n",
       "1       Community engagement, organization, and develo...  book    ebr10595446  \n",
       "2       Essentials of nuclear medicine physics and ins...  book    ebr10660579  \n",
       "3                  Edge of empires : a history of Georgia  book    ebr10660927  \n",
       "4                                    LinkedIn for dummies  book    ebr10828172  \n",
       "...                                                   ...   ...            ...  \n",
       "412737                     Træk af Gørding sogns historie  book       55094896  \n",
       "412738                                     Complete works  book       55095000  \n",
       "412739  A key to Uncle Tom's cabin : presenting the or...  book       55095183  \n",
       "412740                                 Naturundersøgelser  book     DBB0605044  \n",
       "412741                     Pædiatrisk håndbog i sygepleje  book     DBB0634737  \n",
       "\n",
       "[412742 rows x 7 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "books_in_loans"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7c41ad5-0b01-4af4-9934-d112022ced7b",
   "metadata": {},
   "source": [
    "Fillna..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "6e738729-2bb4-44ba-b883-7124022d3d38",
   "metadata": {},
   "outputs": [],
   "source": [
    "real_books = real_books.fillna('')\n",
    "books_in_loans = books_in_loans.fillna('')\n",
    "loans = loans.fillna('')\n",
    "loans_with_info = loans_with_info.fillna('')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "1d0fd4ad-91a6-488c-9c2f-370c18b745c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs = [real_books.copy(), books_in_loans.copy(), loans_with_info.copy(), real_books.copy()]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30ca29a6-28fa-46e7-ad1a-07cc16195f58",
   "metadata": {},
   "source": [
    "##### Save!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "22ec4f54-06a4-43fd-b00e-5c7b14db9574",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "9555c56f-8b9d-421d-8353-8f2944a1731f",
   "metadata": {},
   "source": [
    "##### Analyze!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "76867cf6-1570-4f83-bf78-e5bfbd7d9a8a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['#b3e2cd', '#fdcdac', '#cbd5e8', '#f4cae4', '#e6f5c9', '#fff2ae', '#f1e2cc', '#cccccc']\n"
     ]
    }
   ],
   "source": [
    "color_map=mcp.gen_color(cmap=\"Pastel2\",n=8)\n",
    "print(color_map)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "b14d24ee-889f-480d-b335-674188e17612",
   "metadata": {},
   "outputs": [],
   "source": [
    "for df in dfs:\n",
    "    # replace empty string with \"unknown\"\n",
    "    df[\"language\"] = df[\"language\"].apply(lambda x: \"unknown\" if x=='' else x)\n",
    "    # flag as \"other\" if neither male, nor female, nor unknown\n",
    "    df[\"language\"] = df[\"language\"].apply(lambda x: \"other\" if (x!=\"Engelsk\")&(x!=\"Dansk\")&(x!=\"unknown\") else x) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "70d6b181-2ae9-4b70-b8e3-1fa9dbbe13c6",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "colors = {}\n",
    "i = 0\n",
    "for language_value in dfs[0].language.unique(): # books contains all languages.\n",
    "    colors[language_value] = color_map[i]\n",
    "    i+=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "529e1265-6cad-45be-9f7a-38343877ec82",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'unknown': 155375,\n",
       "         'other': 832343,\n",
       "         'Dansk': 1875835,\n",
       "         'Engelsk': 1289935})"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Counter(dfs[0].language)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "e5813778-b61a-4fe2-9344-3a370a8f69c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs_names = ['Unique Books', 'Unique Books in Loans', 'Books in Loans', 'Unique Books']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "351dae1d-4150-40c3-90b3-5050cf37d6ce",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Z3btu3Tr8+uuvLn1rq5l7rVQlBi+1ZMkSl2T0/Pnzq00gXy4oKMilFEl+fr7Te6DRaPDiiy/WOpZMJsOUKVOc2nQ6He644w6UlZVVu09JSQm+/fZbJCcnY9myZbUeoyF4Pfk/vJ4kopaEM56p0WVmZjqtDlxYWIjt27cjLy/Ppe/EiROdFvDw8fHBM88843JyNG/ePPz222/o378/SktLsXbtWpf6bXFxcZg9e7bLfpffJf7666+xc+dOJCcnw2g0Yu3atSgvL3fq4+fnh7lz59b5Nc+dOxc5OTlYtGiRo81ms2HatGnYtGkThgwZ4mjPysrCG2+8gRdffBExMTHo2rUroqOj4e3tjfLycmzbts3l0brLT3haq8s/O9UJDg7GK6+8AgB47LHHsGjRIqeZGRcvXkTXrl0xYcIEBAYGYvfu3Th+/LjLOC+//LLTYjV9+vRBSkqK42tRFNG3b1+MHz8ePj4+2L9/P06cONGwF3gVrFYrFi9ejMWLF8PHxwc33HAD2rdvj4CAAFitVpw6daraVcSvl88MERERtX7PP/887rzzTqe2P/74A+3atcPo0aPh5+eH06dPIyUlxWXtjRtuuAETJky4luHW6Oabb0aHDh2c1hWxWCwYPnw4xo8fj6ioKBw4cAAHDx6s03gymQw33ngj1qxZ49R+5513YurUqVCr1Vi7dm2NM4Uv9+KLL2Lp0qVOCf3ff/8dMTExSE5Odiy+WFpailOnTiEtLc1R9u7ee++t0zHqgteTlXg9SUStgkTUAK+++qoE4Kr++Pn5SZmZmS5j2u12acKECfUay9vbWzpw4EC1MT788MP1GkuhUEi//fabyzhbt2516Ttz5kzHdlEUpdtvv92lT2BgoHT8+HFHv5deeqne79Wnn356Vd+fmTNnuoy1detWl36X94mPj2/QeHVxtZ+dy2Pbtm2bpFKp6jXGHXfc4RLPzz//XOt+SqVSGjlypEv74sWLncY6f/68S5/k5ORq34fk5GSXvufPn3dsz8jIqPd7NHDgwKv6nhARERE1V7Nmzar3OZG/v7906tSpasdrzPM1SZKkxYsXu/R59dVXXcbasmWLJJfLa429S5cutZ5zSpIkbdiwodaxFAqFFBQUVOtrkCRJWrlyZZ3iq0tsdcHryZmO7c3xepKIqKFYaoPcon379ti8eTPat2/vsk2hUGDVqlV44okn6lQnrFOnTti9ezf69u1b7fb//Oc/ePPNN+Hp6VnrWFFRUdi0aRMmTZpU+4u4jEwmw9KlS3HjjTc6tWs0GowdOxbnz5939KvPmE899RQeeuihesdzvbjxxhuxY8eOaj9Ll1MqlXjuuefw/fffu2y77bbb8PTTT9e4r0qlwtdff41hw4Y1KN76qs/nBaisHfjTTz81UTRERERE7vH111/j1VdfrfMCdj169MC+ffvQuXPnJo6sfkaMGIElS5bU+Drkcjnefvtt3H777XUab+zYsXjiiSdq3O7r64sffvgB3bt3r9N4U6dOxR9//IG4uLg69QeAdu3aITExsc79GwOvJ+s+Jq8nicidWGqDmpxSqYSPjw9iYmLQo0cPTJw4EbfddtsVf3GrVCosWrQIjz/+OL7++mukpKQgMzMTGo0GarUa4eHh6N+/PyZPnoypU6de8YRCJpPhhRdewL333ouvvvoKf/75J86cOYOysjIolUqEhYWhT58+mDBhAv72t7/V6YSiJp6envj1118xdOhQnDp1ytGen5+P0aNHY+fOnXj11VcxZswYpKSk4ODBg0hPT0d+fj70ej0UCgUCAgLQvn17DBkyBDNnzsQNN9xw1fFcL/r3748zZ87gp59+wm+//YYDBw6gqKgIFosFQUFBSExMxPDhw/HAAw8gPj6+xnHeffddJCcn46OPPsKBAwdgNBoRERGB4cOH48knn0SPHj0wb968a/fCUHlSffbsWfzxxx/Yu3cvTp48iYsXL0Kj0cBut8PHxwfR0dHo2bMnpkyZgttuu63JF3YhIiIiutbkcjnmzZuHhx9+GIsXL8b27duRmpqKsrIyWCwWBAQEIDo6GgMGDMCUKVMwbty4et/Av1ZmzJiBPn36YMGCBdi8eTOKi4sRGhqKIUOGYM6cORg8eHC9zjkXLVqEQYMG4dNPP8XRo0dhsVgQGxuL8ePH4+mnn0ZMTAw+/vjjOo83cuRIZGZm4ueff8bvv/+OAwcOoLCwEHq9Ht7e3ggPD0enTp0wYMAAjBkzptoFIBsTryd5PUlELZdMki4rgkVEREREREREbjNv3jzMnz/fqW3x4sWYNWuWewIiIiK6Ciy1QURERERERERERESNiolnIiIiIiIiIiIiImpUTDwTERERERERERERUaNi4pmIiIiIiIiIiIiIGhUTz0RERERERERERETUqGSSJEnuDoKIiIiIiIiIiIiIWg/OeCYiIiIiIiIiIiKiRsXEMxERERERERERERE1KiaeiYiIiIiIiIiIiKhRMfFMRERERERERERERI2KiWciIiIiIiIiIiIialRMPBMRERERERERERFRo2LimYiIiIiIiIiIiIgaFRPPRERERERERERERNSomHgmIiIiIiIiIiIiokbFxDMRERERERERERERNSomnomIiIiIiIiIiIioUTHxTERERERERERERESNiolnIiIiIiIiIiIiImpUTDwTERERERHRFclkMqc/Hh4eCA0NxQ033IBZs2bh559/ht1ud3eYdbZkyRLIZDLMmzfP3aEQERG1Wkp3B0BEREREREQtw8yZMwEAoiiioqIC6enp+O677/Dtt9+iQ4cOWL58Ofr37+/mKImIiKg5YOKZiIiIiIiI6mTJkiUubWfPnsWLL76In376CSNGjMCuXbvQs2fPax4bERERNS8stUFERERERERXrX379vjxxx9x3333wWg0Yvbs2e4OiYiIiJoBJp6JiIiIiIiowd5//334+PjgyJEj2Llzp9O2tWvXYvbs2ejcuTP8/f3h4+ODHj164M0334TFYnEZ69IazNnZ2Zg+fTrCwsLg5eWFvn37Ys2aNdXGsHv3bkyePBnx8fHw9PREREQE+vfvj+effx56vb7Or0Mul6NTp064ePFi/d8IIiIiAsDEMxERERERETWCgIAA3HzzzQCArVu3Om2777778PPPPyM4OBg333wzhg0bhosXL+Kll17C+PHjIQhCtWNeuHAB/fr1w/79+zFq1Cj06tULhw4dwuTJk7Fp0yanvmvWrMGwYcPw22+/ITIyErfddht69eqFsrIyvPPOOygpKan1Nbz44ot4+umn0adPH+zcuROxsbFX+W4QERERazwTERERERFRo+jZsydWrlyJ06dPO7V//vnnGDNmDLy8vBxtOp0O06dPx++//47ly5fj73//u8t43377LebOnYsFCxZALq+cN7Vo0SI8+eSTeP311zFmzBhH3/feew+iKGLlypWYOnWq0zgHDhxASEhIjXGLoohHHnkEX3zxBUaMGIHVq1fDz8/vqt4DIiIiqsQZz0RERERERNQoQkNDAQDl5eVO7bfeeqtT0hkA/Pz88MEHHwAAVq9eXe14bdu2xZtvvulIOgPAY489hqCgIOzduxdWq9XRXlxcDAC46aabXMbp169fjYlkq9WKu+66C1988QUmT56M9evXM+lMRETUCDjjmYiIiIiIiBqFJEkAAJlM5rItIyMD69atQ2ZmJgwGA0RRdPTPyMiodrzhw4dDpVI5tSmVSrRt2xaHDx9GaWkpIiMjAQB9+vTB6dOnMWPGDLz88svo06ePU8K6OgaDARMnTsQff/yBWbNm4auvvoJCoaj36yYiIiJXTDwTERERERFRo6iqoxwcHOxokyQJTz/9ND744ANHovlyOp2u2vaYmJhq26tmJF+6MOGbb76JEydOYM2aNVizZg2CgoIwdOhQ3HLLLbjnnnugVqtdxlm0aBHsdjvGjx+Pb775ptqEOREREV0dltogIiIiIiKiRnHkyBEAQJcuXRxtP/74IxYuXIiYmBisXLkSubm5sFqtkCTJkTiuKSFd24zlS8XGxuLgwYPYuHEjHn/8ccTGxmLNmjV44IEH0L17d5SWlrrsc/PNNyMgIACbNm3Czz//XJ+XSkRERLVg4pmIiIiIiIgarKKiAhs3bgQAjBgxwtH+yy+/AAA+/fRTTJ06FVFRUfDw8AAAnDt3rlFjUCqVGDNmDP7973/j2LFjuHDhAkaOHImMjAy88847Lv179+6NjRs3wtvbG3fffTdWrVrVqPEQERFdz5h4JiIiIiIiogabO3cuDAYD+vXrh0GDBjnaqxYarK5sxk8//dSkMcXHx+O5554DAJw8ebLaPgMGDMCGDRvg5eWFu+66q8aFDomIiKh+mHgmIiIiIiKiq3bu3Dnceeed+Prrr+Hj44Ovv/7aaXvHjh0BAF988YVTSY0dO3bg3XffbbQ4PvjgAxQUFLi0r1u3DkBlKY6aDBo0CBs2bICnpyfuuOMOrFmzptHiIiIiul5xcUEiIiIiIiKqk1mzZgEARFGEVqtFeno6zpw5A0mSkJiYiO+//x433HCD0z7/93//hyVLluA///kPUlJS0L17d+Tm5mLnzp2YO3cu3nvvvUaJbf78+Xj66afRo0cPJCYmQpIkHDt2DOnp6QgODsbTTz99xf0HDx6M9evXY9y4cZg2bRpWrVqFCRMmNEpszYEkSbDZRdjsIqx2ATabCKtdhCCIkKTK7dJf/VD5X2WbhMo/kBz9KscDFHIZFAoZlAo5lAq509+VChkUl/2diIiuL0w8ExERERERUZ18++23ACprKfv7+yMqKgp///vfceutt+KWW26BQqFw2adjx444ePAgnn32Wezbtw+//fYbkpKS8Pnnn+OBBx5otMTzRx99hA0bNuDQoUNYv349gMpZzk899RSeeuopREdH1zrG0KFDsW7dOowfPx5Tp07Fr7/+inHjxjVKfE1JFCVYbQKsdhG2qv/bBVhtfyWabQLsdhHVL+F4bciAvxLRMngoFVB7KuDlqYRapYDaUwmVh+tnh4iIWjaZVNPywURERERERETUrNgFEUazHUaTrfL/ZhvMVsHdYTWYQi6D2lNZmZBWKaH2VMLLUwGVhwIymczd4RER0VVg4pmIiIiIiIioGbLZRRjNNhhNlQlmg9kOq63lJ5nrQy4DPD2VfyWjFfD1VsHXywNyOZPRRETNHRPPRERERERERG5mF0TojTZHotlgtsFmF90dVrMkkwG+Xh7w81HBz1sFH28PyDkrmoio2WHimYiIiIiIiMgNTGY7NHoLKvQWGIw2t9ZgbsnkMsDHWwV/bxX8fDzg4+XB8hxERM0AE89ERERERERE14AgStAZLKjQW1Ght8Bq44zmpiCXyxwzov19VPBWK5mIJiJyAyaeiYiIiIiIiJqI2WpHha4y0awzWsEr8GtPIZfB31eFIH81An09WR+aiOgaYeKZiIiIiIiIqJGIkgSdweqY1WyxXl+LATZ3cpkMAX4qBPurEcAkNBFRk2LimYiIiIiIiKiBDCYbSitMKKswwy7wMrslkMtlCPBVISTACwG+KpbjICJqZEw8ExEREREREV0Fm11AaYUZpRozTBa7u8OhBlAqZAgOUCMkwAs+Xh7uDoeIqFVg4pmIiIiIiIiojiRJgkZnQYnGBK3eCl5Qtz5qTwVCArwQEqCGykPh7nCIiFosJp6JiIiIiIiIamG1CSguN6FEY4LNLro7HLpGAv08ERHiDV9vlbtDISJqcZh4JiIiIiIiIqqGJEnQGqwoLjdBo7O4OxxyIx8vD0SEeCPQz5O1oImI6oiJZyIiImpREhISkJWVBZ7CEBFRUxElCaUaEwpKjLDYBHeHQ82Ip0qBiBBvhAR4QS5nApqI6EqU7g6AiIiIiIiIqDkQJQkl5SYUlBhgZTkNqobFKiArX4fcIj3Cg70RHuQNpVLu7rCIiJolJp6JiIiIiIjouiaKEko0JuSXGFi/merELkjIKzagoMSAkEAvtAnxhlrFFAsR0aX4U5GIiIiIiIiuS6IooVhTOcOZCWe6GqIEFJebUFxuQpCfJ9qE+MDX28PdYRERNQt8HoSIiIgaRUpKCmQyGWbNmlXt9lmzZkEmkyElJcXRJpPJkJCQAEEQ8M4776Bjx47w9PREbGwsnnvuOVgsdV/IKScnB126dIFMJsOCBQsc7QkJCY5FgL766it0794dXl5eiIiIwEMPPQSNRlPteKWlpXjmmWeQmJgItVqN4OBgjBs3Dps2bXLpm5CQALVaDbPZ7NQ+Z84cyGQyxMbGuuwzbdo0yGQyHDx4sMGxEhFR/YiihMJSI05kluBigY5JZ2oU5ToLzlwoQ9qFchjNNneHQ0Tkdkw8ExERkdtNnz4dr7/+OpKSkjBmzBjodDosWLAA9913X532T09Px9ChQ5Geno4vv/wSzz77rEufZ599Fo8++igiIyNx8803Q5IkfPHFF7jllltcFirMzc1F//798d5778FqtWLy5Mno1asXNm/ejLFjx+KDDz5w6p+cnAyLxYK9e/c6tW/duhVAZVI8MzPT0S5JErZt24aAgAD06tWrQbESEVHdVSacDZUJ50ImnKlp6IxWnDpXhgt5FbDZuTglEV2/mHgmIiIit8rKysKJEyeQkZGBNWvWYM2aNThy5AgCAwOxfPlynD179or7Hz58GEOHDkVBQQF++ukn3H///dX2W7p0KY4fP46NGzdi1apVSE1NRYcOHbBjxw5HgrjKww8/jHPnzmH69OnIyMjADz/8gD///BMpKSnw9vbGM888g6NHjzr6Dx8+HACcZnOXlZXhxIkT6Nq1q8u2kydPoqSkBEOHDoVCoWhQrEREVDtRlFDgSDjrmXCma6JEY8aJzFLkFxsgirxxTETXHyaeiVoIUZJgs4swW+wwmGwwmm0wme0wWewwW+2wWAVYbQJsdgE2uwi7IEIQRYiixNlxRNTs/fvf/0ZERITj67Zt2+Kee+4BAOzYsaPG/bZt24YRI0bAZDJh7dq1uO2222rs+9prryEpKcnxdWhoKB5++GEAwPbt2x3t586dw++//w5fX1989NFHUKlUjm1Dhw7Fww8/DEEQ8Mknnzjaq0s8b9u2DZIk4dlnn4Wnp6fTtqq/JycnNyhWIiKqXYXegtRzpchhwpncQBQl5BbrcfJsCcoqzLXvQETUinBxQSI3EUTJkSS22UXY//r//xLHEgRBhCBW/r+xbpDLZIBSIYeHUg6VhwIqpRweHgqoPORQKSv/7+GhgPyvGqNERE3Nw8MDI0aMcGnv2LEjACA/P7/a/X777Tfceeed8PHxwbp169C/f/8rHmfMmDF1OsbOnTsBAOPGjUNwcLDLPjNmzMDChQudEuJt27ZFXFwc9u7dC7PZDLVa7Ugujxs3DgMHDsS2bdsc/au2VSWsrzZWIiKqmdUm4GKhDuXauq8XQNRUrDYR53IrUFhmRGwbPy5ASETXBSaeiZqYIIqOmckmi93xd7vgnlnIkgRHsttottfYT6mQQeWhuCRB/VdyWqWAt9oDCjkT00TUOCIiIqotN+Hn5wcANS4wOHXqVNjtdqSkpNSadAaAmJiYOh0jLy8PQOVCf9Wpas/NzXVqT05OxtKlS7F3714MHz4cKSkp6NKlC8LDwzF8+HBs27YNmZmZaN++PbZv3w4/Pz/07t27QbESEZErSZJQVGZELssbUDNkMNlw5kIZggPUiAn3hcrD9RyIiKi1YKkNokYiShKMZhtKK0zIKdQhI7scxzOKceRMMc5cKEdWvg5FZSbojDa3JZ3rwy5IMJrtqNBbUVxuQm6xHufztEi7UI4jZ4pw8mwJzudWoKjMCL3JxpN6IqqVKFb/eLNcfnWnI3fffTcA4Omnn4Zer6+1/9Ue53KyGp4IubTcRlV956q2S7fVVt+5MWMlIrre6I1WnDpXiouFep6fUrNWVmHGycwS5BbpIfCzSkStFGc8E10FQZSgN1hhMNtgtthhtNhhsQi4nk4XzBYBZouA0r/qlMlkgJenEj5eHvBWe8DHSwkvT2WNCRoian2qaiHXlAS+ePFiox5v8eLFEAQB33//PSZMmIB169bBx8enweNGRUUBqFz0sDoXLlwAAERHRzu1V9VrTklJQY8ePSBJkiPhPHDgQEedZ5PJBKDmMhtERFR/dkFETqEeJRojAJ5/UssgSkB+iQElGhPiIvwQ5K92d0hERI2KiWeiOpCkytm/Wr0VFQYLDCYbuF6fM0kCjGb7X+U7KpMqchngpfaAj5cHfNRK+Hh7QK3ijx2i1ioyMhIAkJ6e7rKtrKwMhw8fbtTjKRQKfPfddxBFET/88AMmTpyItWvXwtvbu0HjDh06FACwYcMGaDQaBAYGOm1ftmwZAGDYsGFO7e3bt0dsbCz27t2LpKQkyGQyR3JZrVY76jwz8UxE1LhKNCZcLND9NWuUSWdqeWx2EWdzKhAcYEFchB+UCj75REStA3+aEdXAYhNQXG7E2RwNjqUX4/T5MuQW66E3MulcV6JUWcOsqMyI83lanMwsxfGMEmTla6HRWfj4I1ErU7XA3okTJ7B69WpHu8FgwIMPPgitVtvox1QoFFi2bBnuuOMOpKSkYNKkSY7E7tVq164dJkyYAJ1OhyeeeAI2m82xbc+ePfj000+hUCjw6KOPuuybnJwMi8WC7777Dl26dEFYWJhj2/Dhw5GTk4N169Zdsb4zERHVjclsx5nzZbiQp2WpAmoVyirMOHW2FFqD1d2hEBE1Ciaeif4iiCI0Oguy87U4mVmCExklyMqvXAW7JdRkbimsNgHF5SZkXtTgSFoR0rPKUVhmhNla80KHRNRyvPrqqwAqF/4bOXIkbrnlFrRv3x7Hjx/Hrbfe2iTHVCgUWL58OaZOnYotW7bglltugdlsbtCYn3/+Odq2bYvvvvsOiYmJuPvuu3HTTTdh2LBhMBgMWLBgAXr27OmyX1W5DbPZ7DKjueprs9mMIUOGQKnkEyBERFdDkiTkFumReq4UepOt9h2IWhCrXUR6VjmyC3ScqENELR4Tz3RdM5ptyCvW48yFMhw9U4zMixoUlZtgtgruDu26IEmA1mDFxQIdTmaW4uTZysU1jGZeQBC1VLNnz8bixYvRuXNn7Nq1C/v378ekSZOwZ88el5IVjUmpVOKHH37AlClTsHnzZtx6660NSj5HR0fjwIEDmDt3LpRKJVatWoVDhw5h1KhR2LhxI5566qlq97s02Xx54rmqznN124iIqG4sNgGnz5civ8Tg7lCImlRRmRGnzpXCwJsrRNSCySSJRQPo+mKziyitMKFUY4bJwlm2zZWnhwKB/p4I8lPDx4uLFBIRERFd78q1ZpzL0UBiHWe6jsgARIb5IDLUh9dERNTiMPFM1wVRklChs6BUY0aF3gJ+6FsWD6Ucwf5qhAV5Qe3JR9OJiIiIrieiJOFsdikqDHwqka5fPmol2kYH8HqIiFoUJp6pVTOabSjRmFFWYWKd5lbCz1uFsGAvBPl58o4/USOxiwJMghW+SjX/XRERUbNiMtuQmlkIyD3cHQqR28llQEwbP4QFefGcjYhaBCaeqdWx2UWUVZhRojGxlEYr5qGUIzTQC2FBXlB5KNwdDlGLJEkS9HYzFDI5vJWe7g6HiIjISX6RBheLjJDLea5HdCl/HxUSovx5HUREzR4Tz9QqSJIEjf6vUho6ltK4nsgABPh5IjzIC34+Kt75J6ojo90CQRI5y5mIiJodUZRw+mwBTDa5u0MharY8lHJ0iA2EjxefBiCi5ouJZ2rR7IKIojIjispMsAuiu8MhN/NUKRAW5IXQQC8oFbxQIaqOVbDDItrgpVBByRlkRETUzBiMFpw6VwwZS2sQ1UouAxKiAxDsr3Z3KERE1WLimVokq01AQakRJeUmiPwI02XkMiDIX43wYG/OACD6iyCJMNotkIsybNi0ASoPFcaPHguFgslnIiJqHnIKypFXYmJpDaJ6igz1QVSYD59iI6Jmh8uhUotisthRUGJAWYWZ5TSoRqIElFaYUVphhrdaiagwXwT6sX4tXb/0NjNkAE6fSMXBI4dht9sRFBTIpDMRETULkiQhNSMfZruCSWeiq5BfYoDZYkdCdAAUciafiaj54IxnahEMJhvySwzQ6CzuDoVaKB8vD8SE+8LPR+XuUIiuGbNghV0UUVZYjHV/bITVaoWHhwduHDwUXTt1dnd4REREsNrsOHrqIuQe3u4OhajF81Yr0SE2kIsOElGzwcQzNWtGsw15RQZo9Ew4U+Pw91EhOtyXJTioVbOJAiyCDXaLFT/9vBJmiwUKuRwd2rXHTckjONOZiIiahbKyCpw6Xwy1l5+7QyFqNTyUcrSPCYSvN693iMj9mHimZslktiO3WM8ZztRkgvw8ERXuCy9PVhyi1kOUJBjtFsgkCVu3puDCxSxIogRPT0/cc8dd8PbibDIiImoe0jMvoEgjQO3t6+5QiFodmQxIiPJHSICXu0MhouscE8/UrJgsduQV61GuZcKZro2QQDWiwnzhycfRqIUz2i2QJAmZaRnYvX8vbHY7PFUqTBo3HlERke4Oj4iICAAgiiL2HzwOwSMQnp5MihE1pYgQb0SH+3LRQSJyGyaeqVmwCyJyi/QoLje5OxS6DslkQFiQNyJDfeChlLs7HKJ6sQg22EQB2jIN1qxfC4vVCqVCgUH9BqDnDd15oUFERM2G3W7Hjj2H4RUQBaWSZQCIroVAP0+0jfaHQs7rHCK69ph4Jrcr1ZhwsVAPuyC6OxS6zsnlMrQJ9kabEG8oFTwxo+bNLgowCzZIVjt+XLUSJrMJMpkMcdGxGD9mLJQKlpEhIqLmw2KxYPueIwgIjYecCTCia8pbrUTH+CBe4xDRNcfEM7mNyWJHdr4WOqPN3aEQOVEoZIgM9UGbYG/OFqVmR5IkGOwWKCDDzl27kJ6ZAVEU4enpibun3g4/Xy7QREREzYtOr8fuA6cQ0ibe3aEQXbeYfCYid2Dima45QZSQX6xHQanR3aEQXZG3WomEKH94q/koKDUPJrsVIiRkn7uAlF3bYbfZ4eHhgfGjxyIuJtbd4REREbkoKS3FoRPnERLO31NE7sbkMxFda0w80zVVrjUju0AHm51lNahlkAGICPVBZJgP5Jz9TG5iFeywiXYYtXqsWrMaVpsVCrkCvXv0woA+fTkzn4iImqWcnDycOV+MwJAId4dCRH9h8pmuFatgR5o2D/4e3oj3DXV3OOQmTDzTNWGxCsgu0KJCb3V3KERXxcuzcvazjxdnP9O1I4gizIIVkiDil99Wo6KiApABbULDMXnCJHh48PNIRETNU0bGWVwo0COISWeiZsdLrURSXBCUXFidmoAoScjSFyNdmw+bKEAlV2JEZFd4yBXuDq1RJCQkICsrC0yn1g0Tz9SkRElCQYkB+SUG8JNGrUGbEG9Eh/lCLucMU2o6kiTBKFghhwwHDxzAiVOpEEQBnipP3DH5NgQGBLo7RCIiompJkoTjJ1ORW2xGeATLaxA1V16elTOfPZh8pkZUbNYitTwHervZqb2dXzi6BMa4KarGxcRz/XDJe2oyWr0FWflaWGwsq0GtR2GpERqdBQmR/vDzUbk7HGqFzIINoiSiICcXf2zdApvdBg+lB8aMHIUObdu7OzwiIqIaiaKIffsOoKjCjui4Du4Oh4iuwGSxIz2rnMlnahR6mxmnNbkoNFdUu/2CrhjxvmHwUXpe48jI3TjjmRqdKErILtChRGNydyhETSosyAsx4b5QsD4aNQKbaIdVFGAxGLHy119gsVqhkMvRtXMX3DhoCOs4ExFRs2a327E1ZTs0RqBth67uDoeI6kjtqUBSfDCTz3RVbKKADG0+zuuKIeHK6cUo7yD0Dml7jSJrOpzxXD/8yUKNymyxI/VsCZPOdF0oLjch9VwpKvQWd4dCLZgoiTDYLbDZ7Vi3dh1W/PcnWG1WBPr7474ZM5E8eCiTzkRE1KzZBQGb/tiCYo2VSWeiFsZsEZCWVQabXXB3KNSCSJKEbH0Jtuan4pyuqNakMwDkGcuhszVdriglJQUymQyzZs2qdvusWbMgk8mQkpLiaJPJZEhISIAgCHjnnXfQsWNHeHp6IjY2Fs899xwslrpf6+fk5KBLly6QyWRYsGCBoz0hIcFxPffVV1+he/fu8PLyQkREBB566CFoNJpqxystLcUzzzyDxMREqNVqBAcHY9y4cdi0aZNL34SEBKjVapjNziVO5syZA5lMhthY19JX06ZNg0wmw8GDBxsc65Uw8UyNprjMgJOZJSytQdcVq01ERrYG53MrYBf42af6MdmtsAh2pB4/gW+XLUVBUSGUSiXumnI7Ztw5HZ4qPopGRETNmyiK2Lp1G0o0FnTs0svd4RDRVTBbBKRdKGfymeqkzKLHzsIzOF6eDator9e+6RX5TRRVw0yfPh2vv/46kpKSMGbMGOh0OixYsAD33XdfnfZPT0/H0KFDkZ6eji+//BLPPvusS59nn30Wjz76KCIjI3HzzTdDkiR88cUXuOWWW1xmT+fm5qJ///547733YLVaMXnyZPTq1QubN2/G2LFj8cEHHzj1T05OhsViwd69e53at27dCqAyKZ6ZmelolyQJ27ZtQ0BAAHr1cv3dXZ9Ya8Maz9Rggigh7VwRjFYAnJVH16nSCjO0BivaxwTA15u1n+nKLIINgiSipKAI6zdvgtVmg1KpwE03DkfnpE7uDo+IiKhOJEnCzl17cLFAg+69h7g7HCJqALO1MvncqW0wlCwlSNUw2a04rclFnqn8qsfIN2mgs5ng5+HViJE1TFZWFry9vZGRkYGIiAgAwPnz59G7d28sX74c8+fPR/v2Na+1c/jwYYwbNw5arRY//fQTbrvttmr7LV26FMePH0dSUhIAoKSkBIMGDcKOHTuwdetWjBw50tH34Ycfxrlz5zB9+nQsXrwYKlVljmHnzp0YO3YsnnnmGYwYMQI9e/YEAAwfPhzfffcdUlJSMHz4cABAWVkZTpw4ga5duyI1NRUpKSno0KFy/YWTJ0+ipKQEEyZMgEKhaFCsteFPE2oQvdGCw6k5lUlnouuczS4i7UI5CkuN7g6Fmim7KMBot8BsMmPZ8uX4bf1aCIKApA6JeGjmfUw6ExFRiyFJEvbu3Y/0c7m4oddgd4dDRI3AbBVw9mIFa9eSE0EUkVaRh635qQ1KOldpjrOe//3vfzuSzgDQtm1b3HPPPQCAHTt21Ljftm3bMGLECJhMJqxdu7bGpDMAvPbaa45ELgCEhobi4YcfBgBs377d0X7u3Dn8/vvv8PX1xUcffeRIOgPA0KFD8fDDD0MQBHzyySeO9qpk86VlRLZt2wZJkvDss8/C09PTaVvV35OTkxsUa10w8UxX7WJ+GU6dK4VMwdmdRFUkABcLdTibo4EgsvTGtWYymfDKK6+gY8eOUKvViIqKwuzZs5Gbm1vvscrLy/HEE08gPj4enp6eiI+Px5w5c2qsa3Xs2DHceOONUKvViI6Oxrx58yD+9RkQJQlGuwU2wY4/N/+JOXOfwkOz7kNmegbunT4DY0aMglzOX8lERNRyHD5yDMdPn0X3PsO4FgFRK6IzWpGVr3N3GNRM5BrKsLUgFRnaAoh1qONcF1WznpsLDw8PjBgxwqW9Y8eOAID8/OoT5b/99hvGjRsHDw8P/Pnnnxg1atQVjzNmzJg6HWPnzp0AgHHjxiE4ONhlnxkzZgBwToi3bdsWcXFx2Lt3r6POc1Vyedy4cRg4cCC2bdvm6F+1rSphfbWx1gWvcqneBFHCibRcFJbbIJe7TsknIqBca8Hpc2UwWepX84quntlsxsiRI/Haa69Br9fj1ltvRWxsLBYvXoxevXrh3LlzdR6rpKQE/fv3x7///W8olUpMnjwZfn5++PDDDzFgwACUlZU59ddqtbjpppuwf/9+jBkzBn5+fpg/fz4WLFgAs2CFVbQh/Uwaliz7DukZ6fj1vz9j3M03Y9G778PLq/k8ZkZERFQXJ06k4sCRk+jZbzhvnBK1QiUaEwpKDe4Og9xIYzVid2EajpRdgFmwNfr4zWnWc0RERLXlJvz8/ACgxgUGp06dCrPZjLVr16J///61HicmJqZOx8jLywNQudBfdaraL59cdXmd55SUFHTp0gXh4eEYPny4o86zJEnYvn07/Pz80Lt37wbFWhc8S6B60f1VWsMisDw4UW3MVgGnz5WhtKL53M1tzV5//XXs3bsXgwYNQnp6On788Ufs27cP77//PoqLizF79uw6jzVnzhxkZmbitttuQ1paGn788UecPHkSjz/+ONLT0/HUU0859f/8889RUlKCb7/9Fr/99huOHj2Krt264p133kFRfiG+XboUO/fsBgCcPHIMFrMZn/7nP436+omIiK6FM2np2LH7AHr2G17thToRtQ45hXpodPVLMFHLZxFsOFaWhZ2FZ1BmbbqbD/kmDbTWa3udLNbwRPLV3kC9++67AQBPP/009Hp9rf0b60ZtTU8ZXVpuo6q+c1Xbpduq6jsPHTq0xt/jjXlTmYlnqrPsvDKcZmkNonoRJQnnc7W4WKhjrbQmZLVa8fHHHwMAPvnkE/j6+jq2PfXUU+jevTu2bduGQ4cO1TpWfn4+VqxYAZVKhf/85z9QKv93o+3dd99FWFgYli1bhqKiIkf70aNH4eXlhTvuuAOCKEJSyjFt2u3QaDT4+rvFsAsC4mJjMXzgUHy//Hs8//zzNd7BJiIiaq7Onj2HDZu24IY+N0Kp9HB3OETUxM7lVsBobvzZrtT8iJKITG0BtuSn4qKh9JocM0PbuLOeq2oh15QEvnjxYqMeb/HixZg+fTp27tyJCRMmwGBonER9VFQUgMpFD6tz4cIFAEB0dLRTe1W95pSUFEd956qE88CBAx11nmsrs9HYmHimWomShONnclGkYWkNoqtVWGpE5kUNBIF1n5vCrl27UFFRgfbt26NXr14u26dNmwYAWLNmTa1jbdiwAaIoYtiwYWjTpo3TNk9PT0yaNAmCIGDdunWO9vLycgQEBMAs2GAT7NixYwfSMtMBADaLDTPvmo5bxk3AnDlzEBMTg2effbYhL5eIiOiay8rOxm9r16PTDQPg5e3j7nCI6BoQRQmZ2RrY7IK7Q6EmVGDSIKXgNM5U5EGQrt31ar5JA73N3GjjRUZGAgDS09NdtpWVleHw4cONdiwAUCgU+O6773DXXXdh+/btmDhxIoxGY4PHHTp0KIDK69Lq1hdatmwZAGDYsGFO7e3bt0dsbCz27t2LDRs2QCaTOZLLarXaUeeZiWdqVixWGw4cvwCryNIaRA1Vobfi9PkymK2s+9zYjh07BgA11qiqaj9+/HiTjBUdG4Pi4mIcP3qsso7z2QzHjOgn/vEYfH18sWrVKmzatAmLFi2CWq2u4ysjIiJyv7y8fKxevRZRcUkIDY9ydzhEdA1Z7SIysjUQRT692drobCbsLcrAwZJzMNrdU1blvL640caqWmDvxIkTWL16taPdYDDgwQcfhFarbbRjVVEoFFi2bBnuuOMOpKSkYNKkSTCZGlZCpF27dpgwYQJ0Oh2eeOIJ2Gz/e+pgz549+PTTT6FQKPDoo4+67FtV5/m7775Dly5dEBYW5thWVed53bp1V6zv3NiYeKYalZZpcOBENhQe3u4OhajVqKr7rNWzXlpjys7OBlD9IgiXttf0uNLVjmUTBZjsVtw47EYIgoAnn3wSBr0eHpDj8P6D6NOnD9q0aQOTyYSnnnoKEyZMwKRJk+r9+oiIiNylqLgYv6xeA5VXANp3vMHd4RCRGxjNdpzPq2DpwFbCKtpxsvwithecRolF59ZYcgylsIqNNzHr1VdfBVC58N/IkSNxyy23oH379jh+/DhuvfXWRjvOpRQKBZYvX46pU6diy5YtuOWWW2A2N2wm9+eff462bdviu+++Q2JiIu6++27cdNNNGDZsGAwGAxYsWICePXu67FdVbsNsNrvMaK762mw2Y8iQIU4lJZsSE89UrbSMczh1rhRqL9/aOxNRvQiihPRsDYrKGv4YDlWqquPl7V39jTIfn8pHgnW62k+s6jpWhbYCNqsVK1f9DK3FiE5du2DPzl14+v+exMMPPASTyYQPPvgAAPDWW2+hoKAAH374oWMcSZIafEJCRETUlIwmE9au2wi90YJeA5LdHQ4RuVG51oK84qZbbI6aniRJuKArxtb8VFzQF6M53EYQJBHZ+pJGG2/27NlYvHgxOnfujF27dmH//v2YNGkS9uzZg8DAwEY7zuWUSiV++OEHTJkyBZs3b8att97aoGu96OhoHDhwAHPnzoVSqcSqVatw6NAhjBo1Chs3bnRZ7L7KpcnmyxPPVXWeq9vWlGQSb1nRJQRBwN4DRwFVMDzVnOlM1NSiwnwQFcYbPA314IMP4ssvv8RLL72E119/3WV7ZmYmEhMTkZiYWG3Nr0uNGTMGf/zxB7788kvcf//9LtvXblyPiePGo2+/fpj98AMQRREeHh64beIt+PWXX3Hw4EEEBQXh73//Ozp37oxz586ha9euePrpp/Haa6/BZDJhzpw5WLZsGYxGI7p06YKPP/4YI0aMaLT3g4iIqKEEQcDadRtx6MgxjJ5wJ9RerOsMABpNGe6YNAzlZaWIiU3ALxv2uvT54pN38eV/3q9xjL/f9xgef+qfdTqe3WbDwf27sH3rRhw6sBu5OdmAJCEyOhZDbhyFmfc9hqDg0GrjfO/Nf2JnyiZAJsONI8Zi7vOvISAwyKVvbk4W7rwlGXfNeACPPflSneKi61fbKH+EBHq5OwyqpxKzFqmaHOgasaZyY1ErPDAqshtkMpm7Q6EmwMK95GCz2bB990F4B8TA46/VQImoaeUVGyCKEmLa+Lk7lBbN17cyeV/TYg5VKwz7+dX+Ptc0llWwQ4SEnKzK1ZBtgh1yuRxjR96EdgltAQD333+/S7L6iSeeQHh4OF588UUAwHPPPYevv/4ar776Krp164a33noLkyZNQkZGhmNBDCIiInc7eOgwDh46jKEjJzLpfIlFC+ZBU15Wp749evVHTFyCS3vnrt3rfLxDB/fg8QfvAgBERcdi8NCRsNttOHHsIJYv+Qwbfl+Fz5asQkLbDk77vfzMP7B3dwp69R0ISMD6NStRXlaKj75Y4XKMhW+/goCgYNz30Jw6x0XXrwv5WniqFPD1Zs6gJTDYLTilyUGhqcLdodTILNhQYNIg0tv1xhi1fEw8E4DKGi8puw4iKLwtFAp+LIiupYJSI0RJQmwbP97lvUpxcXEAgJycnGq3V7XHx8fXeyy7KMAuCTDpjfjvr6vw57atAICOiR3x4MzZV/yerVu3Dr///jt+/vlneHl5wWAw4LPPPsOMGTPw8ssvAwB69uyJdu3a4ZNPPql2tjYREdG1dvbsOWzZuh3deg5AcChvilbZv3cH1q7+CVNun4Ff/ru01v63Tp2OSVPuatAx5TI5bhp3C+6Z+TC6dv/fQlB6nRYvzH0Ie3dtxb/+OQffLP/dsS31xBHs3Z2CqXf+Hc+/sgAA8Porc7H65+U4dfIounTr6ei7e8cWbN+6EW++/zm8vHmDgWonScD5XC26tA+GQs7qrc2VXRSQoS3AeV0RxGZRVOPKLuhLmHhupfhTgqDXG7B15yGEtGnPpDORmxSVmZCVr+OCHVepR48eAIDDhw9Xu72qvXv32mcYXTqWWbDCbrdjzZrfsWLlT7DZ7SjMLwAAjB837opJZ4vFgieeeAKjR4/GbbfdBgA4e/YsbDYb+vXr5+jXtm1bhIWF4dSpU3V4pURERE2rtKwM6zf+gYCgcLRN5GKCVcxmE96a9wzatu+Ie+595Jodt9/AoXjr/S+cks4A4Ovnj1der1xL4sTRg8jPu+jYln4mFQAw4dY7HW233Ha30zYAsFmteP+tf6LvgKEYPa5pFt2i1sliE5Bd4N5F6ah6kiThoqEUW/NTcVZX2CKSzgBQatFBZzO5OwxqAkw8X+fKysqxfe9xhEV1gIx3K4ncqkRjwvk8LZPPV2HIkCEICAjA2bNncfToUZftK1euBABMmjSp1rHGjRsHuVyOHTt2YOuWrVi8/DsUlRRDqVRiyviJOH0yFQqFAuPHj7/iOO+99x6ysrLw0UcfuWy7vIyH0WiEnD+DiYjIzSwWC9Zv2AStzojeA0fwSaxLfPmf95Gbk4UXXl0ApbJ5TNYJC49AUHAIAKC4qNDRrtNqAAB+/gGONv+//l61DQCWffsZcnOz8cyLbzR9sNTqlGrMKNc2v3rB17Nyix47i9JwrCwLFtHu7nDqLasRFxmk5oNXudex/PxC7D+WifCodu4OhYj+UlZhxrmcCohMPteLSqXCY489BgB49NFHHTWdAWDhwoU4fvw4kpOT0adPH0f7xx9/jE6dOuGFF15wtNlEO4LCQ3HLrbfCarXixedfgCiIGHnjcDw4czbeefsdFBcX45577kF4eHiN8WRnZ+PNN9/Ek08+iaSkJEd7hw4d4OnpiZ9++gk2mw0A8Ouvv8JgMKBr166N9n4QERHVlyRJ2LptB9LTz2LoyIlQKj3cHVKzkZF2Csu//QyTptyFXn0G1nm/g/t34v23XsZb85/F1599gNOpxxo1Lp22AlptZd3WkNAwR3tEZAwAIPvCOUdb1oWzAIA2kdEAgIL8XCz+fBHu/Nt9aNfhf+cqRPWRla+F1Sa4O4zrnsluxeHS89hVlI4Ka/Vr3rQEucYyCJLo7jCokTWPW7V0zV3Iykb6hTKEtolzdyhEdJlynQXiRQ3axwRCLudMo7r65z//ic2bN2P37t1ITEzEsGHDkJWVhX379iEsLAzffPONU/+SkhKkpaUhPz8fgijCJgmwmkz44eeVGHjjUOzatRNHDx/BB2+/ix2btyI1NRUnT55EYmIiFi5ceMVYnnrqKQQFBTnqOFfx9vbG448/jvfeew89e/ZEYmIiNm7cCH9/fzz66KON/p4QERHV1ZGjx7B37370GzQC3j7+7g6n2RBFEa+/8hT8/Pzx+NyXa9/hEut+W+n09WcfvYORoyfg1Tf+DW+fhtdT/u+KxRDsdnTo2BnRMf9bx6J3v8HwVHvhq0/fQ2JSZ0iShC//8z7UXl7o028IAODDd+fBx9cPDz76TIPjoOuXXZBwIU+LxLhAPiHhBoIo4qyuEGd1ha0iYWsTBRSZKljruZXhjOfr0Okz6Ug7X4LgMC4UQtRcVeityLiogSBy5nNdqdVqbN26FS+//DK8vb3x66+/IisrC7NmzcLhw4fRrl31T3cIkgi7YMemPzZh+U8/wma3IyQkGEePHMXjjz8Oq9WKX375BRUVFfi///s/7N+/H8HBwTXGsXnzZvz8889477334Ovr67L9jTfewNy5c1FaWor169ejV69e2Lhx4xVnUBMRETWl7OyL2PznVkRExSIihk9DXurH5V/j1Mmj+L+5ryAwsObf/5eKiWuLJ555FT+u3obtB87i9z8P47V3/oPwNpHY8sdavPrCYw2OK+30CXzz+SIAwGNP/dNpW2hYOO57aA5Opx7HLaP74dYx/ZF2+gQeeGQuQkLDcGDvTmzeuAaPz30ZPj7/O1cxm1ruTElyH63BiqIy1ua91vKM5UgpOIV0bX6rSDpXyTGWuTsEamQyicVErxuSJOHosRPILTYhIjrB3eEQUR34ensgMTYQCgXvEzY2q1BZ9+zU6VPYe2A/BFGEUqHA5PGT0IZJYCIiuk5UVGix4oefUFhUjJsm3AlPdcNn4rYWBXk5uPPWZHTq2h2fL/nF0Z6Xm41bx/RHTGwCftmwt87jlRQX4q7JI1ChKcM336/FDT361L5TNUpLijF7+njk5V7E3TMexFPP/6vafrt3bMGu7Zshk8kwbPgYDBicDLvdjum3jURgYDC++O5XAMCKpV9iyZcfoqy0BMEhoZj90Bzc+bf7ryo2uj7JZECXdiHw8uRD9U2twmpEqiYHZRa9u0NpEnLIcFPUDVAp+FlqLfidvE6Ioog9e/ejSGNDbEJHd4dDRHWkN9qQnlWOxPggKJl8bhR2UYAgiSgrKcVv69fCLghQyOUYOmAQenS7wd3hERERXTM2mw0bNv2Bizm5GJw8hknny7zz+guw2Wx44ZUFjTJeaFgbTJpyJ5Yt/hR7dm65qsSzwaDHnEf+hrzci7hp7CTMeXZejX0HDxuJwcNGOrX9sOxLZF84izf++xkAYMsfa7Hw7Zdx86RpGDVmErb8sQbvvflPRETGInnk2HrHR9cnSQLO5Vagc9tgyFlyo0lYBBvSKvKQbSh1dyhNSoSEfFM54n3Dau9MLQITz9cBuyBg69ZtKNeLaNeRSRWilsZgtiM9qxxJ8UGc+dwAgiTCLgqwWaxYsbJycT+ZTIb4mFjcfNMYKBQKd4dIRER0Te3ddwAnTqSiY6cuCI9McHc4zc7ObX/Azz8Ab/3rWad2q8UCACguKsBDs6YAAN5493OEhtX+xFRsXGUpk5LionrHY7GYMffRv+PMqeMYOHg4/vX2J5DL635uWFJchK/+8z6m3TULiUldAADLlnyK6Nh4zHvz35DL5Rg2fDSOHt6Ppd98wsQz1YvJbEdukR6xbfzcHUqrIkoSzuuKkKHNh70VldS4khxDGRPPrQgTz62cIAj4c0sKSjRWJHXt7e5wiOgqGc12nM2p4MIdV0GSJFhFOyABKdu34VzWeUiiBA8PD9w99Q74NsLiPkRERC1NTm4udu3ei8DAQLRP6g2ZjDe3q6PTVuDwgT3VbrNYzI5tVqu5juNpAABeXt71isNut+PFuQ/h0IHd6N6zHxZ8+DU8VKp6jfHv9/8FT7UaDz32v0R61rlM9B80zJHAlsvl6NK1B/bv2VGvsYkAoLDUiABfT/j71O+zSdUrNFXglCYHBrvF3aFcU+VWAwx2C3yUnu4OhRoBE8+tmCiK2L5jF/KLdejWc5C7wyGiBtIarMjK1yEhiivN11VVwvlc5lls37MLgiBAoVBg/LixiI2OcXd4REREbmG1WrFlyzYYDAYMGDIKam/XxXAJOJBaUG371dZ4liQJKX+uBwAkdan7k6iSJOFf/5yD7Vs3omOnblj06TJ4edfvxvnRQ/uwfs1KvPz6B/DzD3DaZjY7LwxnMhkhq8dMaqJLXcitQJf2ISwT2AB6mxmpmhwUm7XuDsVtcg1l6BgQ6e4wqBHwJ0ErJUkSdu/Zh/RzuejaY6C7wyGiRlKiMSG/xODuMJo9QRRhFezQlmuwZNl32LpzOyRJQr9effDgzNlMOhMR0XXt4KHDyMg8i/aJSQiPauvucFqV8rIS/PT9NzAYnBf+MhoMePtfz+Hk8cMICQ3HyJvGO21PPX4Y0yYOxSOzp7mM+f7bL2P9mpVIaJeIj7/8wSVxXBtBELDgjRdxQ48+mDT5Lqdt7Tok4dD+3SgqzAcAFBXm4/CBPWjXgesC0dWx2kVkF+jcHUaLZBPtSC2/iG0Fp67rpDMA5BjL3B0CNRLOeG6FJEnCgQOHcPTEGfQfOpaP5RO1MrlFenh6KBAcoHZ3KM2OKEmViwfa7Vj56yroDZVJ+vCwMEyeMAlKro5MRETXuYKCQuzctRd+fn5ol9SrXjWCqXYmkxHvvvEiPvngDXTp1hMhYW2gKS/FmVMnUKEpg59/AN754CuoLyu1YTabkHU+E1aLc8mObVs24MdlXwEA2kRE4cP3/lXtcWfd/zgS2iVWu+3nH5bgbMZpLPlhvcu14cz7H8OT/5iBGbePQY9e/XHsyH6YTEbMuv//rvYtIEJZhRmhgV4suVFHkiQh21CCtIo8WEXB3eE0C0a7BRVWIwJU9StLRM0Pr8BboaPHjmP3/kMYMGw85HIulkXUGp3Pq4DKQw5fb57MVbEKdsgA7Nm3F6fTzkAURSiVStw5ZRoC/OtfniQlJQUjRozAzJkzsWTJkkaPl4iI6Fqz2+34c8s2aLVaDBg8At4+LN/V2AICg/H3+x7DyeOHkJ11DsePHoRcIUdUdBwmTr4D0//+EMLb1P3xcW2FxvH3fbu31dhv0uQ7q008a8pL8fnH72LytHvQuWsPl+1Dk0fj5dcW4tuvPsaOlE2IjIrBY0++hMHDRtY5RqLqZBdo0aVdCOScCHdFJWYdUjU50NlMtXe+zhSYNEw8twIySZIkdwdBjSf11Gls2LQVA4aNg9qLC2YRtWZKhQyd2wbDU3V930O0iQIkScLF7Gxs3rbVUcd59IhRaBefUON+S5Yswb333otXX30V8+bNc9nOxDMREbU2+w8cwprf16Ftu/bo1mc4J6kQUZOKaeOLiBDmJapjtFtwSpOLApPG3aE0W/4eXrgxorO7w6AGur6zFa3MufMXsHHTFvQeOIpJZ6LrgF2QkJGtQae2wdfl4h2CJEIQRRj1evz06yoIggCZTIYbunTF0IGDWWaIiIjoEsXFJdixYxe8fbzRvlNvJp2JqMnlFRsQ7K+GyqN1/bxZuHAhdu7ciRMnTqCoqAhmsxkRERFITk7GM888gxtuqHnxULsoIFNbgHO6Imz672p8OHd+rcd7cuF8jJw20fH1+VPp+PyVBUg/lgq/wACMvXsK7przQLWlk7b/thHvPvYi5i/9CL2TB1/dC3YTrc0Ek90KLyWf8m3JmHhuJfILCrDm93Xo3GMQ/PyD3B0OEV0jZquAzIsadIwPum4eY5MkCTZJgCSIWL12DUrLywAJ8PPzwx233gaViicmREREl7ILArakbEOZphz9BgyDjx+vF4io6YmihJxCPdrF1G9BzObuzTffhMFgQPfu3R1J5tTUVCxduhQ//PADVq1ahYkTJzrtI0kSco1lOK3Jg0W0AQAi42OdEsqXMur02LsxBQDQpV9Pp/Z/Tn8EJoMRvYYNRO75LKxY9AU8PFW4/dF7ncYwGYz45vVFGDh2eItLOgOAQiaH1mZi4rmFu/6myLVCZWXl+G3NWoS0SUBYm2h3h0NE15jeaENW3vWx6rFNtMMuCjh8+AiWLF+K0rIyKOQK3DFlKu65/S6oVCrs2bMHt956K8LCwuDp6YmEhAT84x//QF5enmOc4cOH4957K0/M5s+fD5lM5vhTXVmNsrIyPPLII4iMjISnpye6deuGb775psY4L168iMceewzt27eHWq1GcHAwJk6ciN27d7v0TUlJgUwmw6xZs1BQUID7778fMTExUCqVWLRoUYPfMyIiouPHTyA19TRiYmLRJqaDu8MhoutImdYMncHq7jAa1erVq1FeXo59+/Zh1apVWLVqFdLS0vDJJ5/AZrPh/vvvh91ud/QvtxiwqygNR8uyHElnAOjavxeeXDi/2j+9bhwIAOjctwci4mMc+2xYvgraMg2efH8+Xv7mA/x7/QrEJ7XHz59+C7vtf2MDwI8ffgWdpgL3vzK3id+RxuOlUCHeNxT9Q9tjTHR3tPFqXTctrkec8dzC6fUGrPl9HUxWoHfX3u4Oh4jcpLTCDJWHAtHhvu4OpUnYRQEiJBTkFWD95o0QRRFyuRwjhiWjU2JHR79ly5Zh1qxZEAQBQ4YMQWxsLA4fPoxPP/0Uq1atQkpKCjp16oRx48bBbrdj165d6NGjB3r27OkYo0MH5wtyjUaDQYMGQa/XY9iwYSgpKcH27dtx3333QRRF3H///U799+zZgwkTJqC8vBxJSUmYMGECiouLsXHjRmzYsAHLly/HnXfe6fIai4uL0a9fP9jtdgwdOhRmsxne3lxMg4iIGqa0rAzbt++Cp9oTce06w8PD090hEdF1Qi4DIkJ94OPl4e5QGtWQIUOqbf/HP/6BhQsX4uzZszh16hQ6du2E05o85BrL6n2MlFXrAQAjbpvg1H7uVBpUak8MnTQaAKBSeyL51nH4bsEnKMotQFRCLAAg91wWVn/zPe54bDbaxEbV+/jXiiRJsGmNyMu4gGj/EEwcNd7dIVEjY+K5BbNYrVi7fgOyc/Jw0/g7Wc+U6DqXX2KAWqVASKCXu0NpNKIkQpBEmIwm/LhqJex2O2QyGRLbt8eoG0c4/dy7ePEiHnzwQQCVsxBuueWWyjFEEXPnzsWiRYswY8YMHDhwAM8//zwiIiKwa9cuTJ48udrFBausXr0ad911F5YsWQJPz8qL9V9//RVTpkzBa6+95pR41mq1mDp1KrRaLZYtW4a//e1vjm0HDx7EmDFjcP/992PkyJEICwtzOs66deswZcoUfP/991Cr1Q1+74iIiERRxNaU7SguKUHHpCSEtYl3d0hEdJ0I9lcjpo1vq6vvXBsPj8oke55Vg9z8UxAksd5jFGTn4vShY1CqPDBs4minbfoKHXz8fJ2ug3wD/P/a9r+nYD9/ZQFCI8Ix9eGZV/MympRoE2Ap08FSqoW5TAvJJkBXWooMRQnMQ0byWqiVYamNFkoURfzxxxacOHEKQ0ZMgIeKMxeICLiQr4XBZKu9YzMnSRJsogC7IGD9xo34/r8/wi7YoVKpMOvue3BT8kiXm21fffUVTCYT7rjjDkfSGQDkcjnefvttREVF4eDBg9i1a1e9YvH398fHH3/sSDoDwOTJk9GtWzdkZ2fjwoULjvZvvvkG+fn5mDNnjlPSGQD69u2Ll19+GXq9HsuWLXM5jqenJz766COeaBERUaNJTT2NEydSERERgcjYjpArrq8EEBG5gWhDUkIQ2sUEXHdJ56VLlyItLQ3RbeNhCfW6qqQzAKT8sg4A0G/kUPgG+jttC4uKQEWZBvoKnaMt51yWYxsA7F6/BUe278UDrz4Nlbp55IrsRjP02UUoPZKJwl0noTmVBVNhOSSbAADw9fWFpqIC2bk5bo6UGhtnPLdQR44cw4GDh9B3UDL8A0LcHQ4RNROSBJzPrUDndiFQyFvmUxB2sfLk42TqSew/dBCiKEKhUODW8RPRJiy8xv127NgBAC4JX6AyqXv77bfjww8/xI4dO2p8PK46ffr0QUiI68/Zjh074uTJk8jPz0dCQgIAYNOmTQCA2267rdqxhg0bBgDYv3+/y7bevXsjOpp1+omIqHGYTGbs2r0HCoUCIaHhCAptvo9aE1HLZ7NacCb1IHTlRUiK/xuA1r8g3LvvvovU1FQYDAaknkrF6VOnEdwmDE9/9AYUDbjRl/JLVZkN17ITfUcMwYblP+ObNz7A7BfnICvtLP787xp0uKEzgsJCYDGb8fVrC9F35FD0H33jVcfQUJIowlphgKVEC3OpFoLJtc63xWJBhVYLnUEHQIZA/wAolUxTtjb8jrZAF3Ny8efWbYiJa4/ouI6170BE1xWzVcDFAh0Sovxr79yMCJIIUZJQUlyMNRvWQRAEyOVyDBkwCN27dqt1/6rFA6uSwJeras/Nza1XXDExMdW2+/n5Aag8YapSNfu5tsR2SUmJS1tcXFy94iIiIrqSo0ePISc3D3FxsYiM68iyfETUJERRRElhFgouZiI/Px82mw15eQVISvJzd2hNbuPGjfjzzz8dX4fHROLJD/6FDt07X/WY6UdPIvdcFvwCA9B35DCX7QPGJKPXjQPxxw+r8ccPqwEAHp4qxwKC//1kMcqLS/H695869pEkCTaLtclnPwtWGyyllSU0LGU6SILzjG9JkqA3GFCh1cJsNsHDwwNBgUHo0e0GJMTFIzY6BgH+LesalmrHxHMLo9cbsGHjH7CLwA29h/AEkoiqVaIxIcBPhSC/5l+2QZQkCJIIq9mC71dWltSQQYa4mFjcfNMYyOWNUxXqan9e1uf4olh5cjVt2jT4+PjU2K9Tp04ubSyxQUREjUVTUYG9+w/A19cXAUFh8AsIdXdIRNQKVZQXIS8rDcVFBSgpLUF4aBgGDxqAtm1bfz15UZLwxS/fI70iHxqNBllnMvHDh1/ihdsfwD3P/AN3Pn7fVY27dVVlmY2hE2+Ch6r6RRlfWbwIf678HZnHT8M3wA8jp05EbGJbFGTl4JfPluK2h2YgMiEWFrMZX857Hym/rIPFZEZsYjs8/Nqz6D6431W/7svZ9CbHrGab1uiy3W63Q6vTQavTwi7Y4ePlg6iICHTqmIS46BhER0ZBpWr9s+OvZ0w8tyCCIGDzlq3Iyr6I0ePvgNKD/ziJqGZZeVr4tPNotrXVpL8SzgCwJWULzmdlQYIEpUKJ6dPuhI+3d73Gi4qKQlpaGrKystC1a1eX7VWzkZuynEVMTAzS0tLw/PPPo0+fPk12HCIiois5cOAQSkpK0bZtAiJiOrg7HCJqZcxGPfKyz6C4MBcFBYXw8vJC8rChGDCgHwIDAtwdXpMrMmlxSpMDvd0MAPAN8EPXAb3w6rcf4pnJ92L5e5+i140D0bGH6zXJlQh2O3b+/gcAYMRtE2rsp/TwwNi7p2Ds3VOc2r+Y9x4CQoNw+2OzAQBL3vw3/vhxNe6e8wDik9rjv58swWuzn8Tn235BcJuw6oaulSSIsGj0jmSzaHFeX0iSJJgtFlRoK2AwGCCTy+Hv54cbunZDh7btEBcTi7CQUE6ivI4w8dyCHDp8FIcPH8WAwSPh4xfo7nCIqJmzCxIu5GmRGBfY7H6xC6II0W5F5rnz2L53N0RJhEKuwPjRYxETdXWJ4WHDhmHr1q1YsWIFxo93rodmtVrx3//+19EPgOPOut1ub8ArcTZ69Gj8+eef+OWXX5h4JiIitygoKMShw0cRHBwE/6Aw+PgFuTskImol7HYbCnMzUZh7AQUFBRBFEV27dMaQIYMQG9P61yrR28w4pclBkVlb7XalhweGTRqDzBOnsX/z9nonno9s3wtNSRki4qLRuW+Peu17cMtOHPhzB174/F14qtUwG03YsPxnjLhtPO564gEAQNsuSXhg6C1Y+91/MeOZf9R5bMFshbmqhEa5DhAlp+2iKEJv0FeW0LBYoPb0RHBQMPr27O0ooeF7hadBqXVj4rmFyMrOxtaUbUhon4TIWM5aIKK60RqsKCozok1I8/hFL0oiBFGAKTsVyuIMlBaaAAD9evZB3169GzT2fffdh3fffRc//PAD7rrrLkyYUDlLQBRFvPjii8jNzUWfPn0c9ZejoioXWUpLS2vQcS/10EMPYeHChViwYAHi4uJw//33O5XqsNvt+PPPPxEdHY1u3WqvW01ERFQfkiRhz9590Ol1aNe2LSKied1ARA0nSSJKi3KQn52BwqIC6LU6xMbFYOiQweiU1LFBC+m1BDZRQEZFPs7riyFBumJf/+BAAIC2tLzex9n6S2WZjeFTXBcVvGJ8Fiu+mPceeg4bgME3jwQA5GflwG6zI7FHF0e/iLhoBIQE4WLGuSuOJ0kSbDrjX7OadbDrTa7HtNlQodNCq9VClCT4+vggPjYOSYkdERcdi6iICC4USACYeG4RdDodNmz8A4ACXXsMcnc4RNTC5BTp4eejgre6+hph10JVWQ17WS6MGfsQ6CkHlHL0jfTBwDE3Q+lZv7Ia1YmLi8Pnn3+OWbNmYdKkSRgyZAhiY2Nx+PBhpKWloU2bNli2bJmj/8CBAxEeHo6VK1di+PDhaNeuHeRyOWbPno3BgwdfVQyBgYFYvXo1Jk2ahIceegivv/46unXrhqCgIBQUFODw4cPQaDT45ZdfmHgmIqJGl5WVjdRTpxEeHo6AoHB4+7b+R96JqGnpKkqRl52G4sJ8FBcXIzgoCDffPBa9e/WEl1frXqNEkiRkG0qRVpEHq1i3pyRP7D0EAIiIr36B8pqYDEbs27QNADDitvolnld9sRTFufl4ZfEil20Wk9nla5nMdQ0b0S7AUvbXrOZSHUSb8+uVJAkmkwkVOi0MBiMUCjkCAgLQt1dvtEtoi7iYWAQHBjW7J23J/Zh4bubsgoA/Nm/Bxew8jJl0JxRK9yWOiKhlkiTgfK4WndsGQy6/9icCdlGAZNZDk7odIQorVJ7/O9FRyQEUpQOxPRvlWDNmzED79u3x9ttvY/fu3di3bx8iIyPxyCOP4KWXXnKq76xWq7F27Vq8+OKL2L9/P7Zv3w5JkjB06NCrTjwDlQntEydO4IMPPsDatWuxbVvlCWRkZCSSk5MxZcoU3HTTTQ1+rURERJcSRRF79x+AxWJFlK8v2rC2MxE1gMVsRH52GooKclBQUABPlQoDB/bH4EEDEBIc7O7wmlypWYdUTQ60NufZvqcOHIXJYESvGwc6P9los2H9sp+RsmodVGpPDJs0xrHt9yU/4vdvf8SgsSMw8/nHqz3envVbYDGZkdT7BkS1jatznEW5+fjvx9/g1vv+hpj2CY72yIQYeHiqsPP3zbhl9t1Qenhgz8atMBtNiOvYrjJmk8VRq9mqMVReOF5CFEVodTpUaLWw2qzwUqsRGhKCQf0GID42DrFR0fDy8qpzrHR9kkmSdOXnBMit9uzZh3UbNqFXvyGIa1e/+kBERJcKD/ZCXIT/NTueIImQ7DZo0/fBz1QERU1Jb5kcsi5jIPNsHuVAiIiIWqKzZ89h+YqfEBQUhMiYBCQk9nR3SETUAgmCHUV551CQew4F+QWw2WxI7NAew4YORnx8XKuf0WqyW3FKk4N8k6ba7Zv/+xs+nDsf/sGB6HBDZ/gFBUBbpkHWmUyUFZVA5emJOQvnOSWev1/4OVYs+gIjp03EkwvnVzvuy3/7B47u2IeHX38OE/5+R53jfeuhZ5F25AQ+3fozvHycnyL95o1F+OXzpYhNbIeotrE4sm0vlB5KvPftZ1CLctiNFpfxrFYrKrRa6PQ6SJIEP18/xERHI6l9IuJiYtEmPLzVl1ahxsUZz83YufMXkLJ9J8LCIxAT38nd4RBRC1dUZkKArycCfD2b9DiiJEEURZjzTgN5pxHoIQeuNNNaEiHlpULWtn+TxkVERNRaCYKAvfsOwm63w8fHG6Ft6j5bjogIqCylUF6Sh/yL6SgqLIBGU4GoqCgMHTIQXbt2gbKVJxsFUUSmrgBntYUQr1DHuduAPrj9sdk4ufcQLpzOgLZcA6WHB8JjojB4/ChMmn03ohJi63XsssJiHN99EEoPpVPCujZHd+zD7vV/4pmP33RJOgPAjGcehWQXsPWX9cg/n434tgm4/a47odTbUFVIQ5IkGIxGVGgrYDKboFR6ICggAIP6DUDb+HjExcQiwJ9lm+jqccZzM1VRocXyFT+iqLAIN46+Ff6BYe4OiYhaAQ+lHF3ahcBD6VrXq6EkSYIoSRAqCqFL24UgVf1mQ8g63QSZN09qiIiI6istPQM//LgSIaEhCA4OQ8cbrr5kFBFdfwy68r/qOOehsLAIAQH+GNC/L/r26Q0fn9b/VGKOoQxnKnJhFmzuDqVR2AxmRwkNW4XBZbtdsEOn06FCp4PdZoO3tzfCQ8PQKTEJ8bGxiI6KgqeqaScr0fWDM56bIbvdjo1//Inc3Dz07D2ASWciajQ2u4gLeRVIjAtq1HEFUYRoNaAidQeCZaZ6J50BQMpPhaw9L5SJiIjqwy4I2Lf/AERRhLeXF0La1G+mHRFdv6wWMwpy0lGYn42C/AIoFAr07dMLQ4YMQnhY689DaKwGpJbnoNzqmpxtSSRBhLXCAHOJFpZSLQSz1aWP2WJGhVYLvV4PyGTw9/ND106dkdi2PeJiYhEWGupUs5qosTDx3AwdO34SJ0+mIiY2FjFtO7s7HCJqZSr0VpRVmBEc0PBVqEVJgijYoM88BG99LoIbsnhhRT4kQxlkPq1/sRIiIqLGkpGRiXPnLqBNm3DIFUoEhUS5OyQiauZEQUBxwQXk52SisKAQZrMZ7dolYNiQwWjfvl2rr+NsFmw4o8lFjrHM3aFcNcFig6X0r4UBy/WQBNFpuyiKMBgMqNBpYbaYofJQITgwCL2690DbuHjERsfAz9fPTdHT9YSJ52ZGo9Fgx87d8FR7om2HbvBQNTwxRER0uYuFOgT4qaC4yrvakiRBkERY8zMh5ByHf211nOs6bv5pyDoMafA4RERE1wNJknDk6DFIkgS1Wo3gsGjIW3kdViJqGE1pQWVZjaIClJWVo02bcIwbcxO6d+8GDw8Pd4fXpARJxHldETK0BRAksfYdmhFJkmDXmxyzmm06k0sfu92OCq0WWp0WgijCx9sbMVHR6JTYEXExsYiKiGz132Nqfph4bkYkScKOXXtQXFyMLt268zE5ImoyNruI/GIDYtrU7y63JEkQIUHUlkB7eieCVBLg0YiPZGkLIBk1kHkHNt6YRERErVRuXh7On7uAkJAQAEBIOK8fiKh6JoMWuVlnUFKUh4KCIvj6emPE8BsxoH9f+Pm1/pmvBUYNTmlyYBRcy1A0V6IgwFqmh7m0MtksWu1O2yVJgslshlarhd5ogEIuh7+fP3p174H2Ce0QFxOLkODgVj+DnZo3Jp6bkcyz53D06HGEh4chtm1XyGSsr0NETaew1IiQQC94edbtV4EoiZCsZpSf2okgUXtVdZyvyDsYsshOTDoTERHVUWrqaZjMZkRERsAvIBSeam93h0REzYzNZkFhTiYK8y4gv6AQkCR0794NQ4cMQlRkhLvDa3I6mwmp5TkosejcHUqd2E1WWP5KNFs0ekCUnLaLogidXo8KbQWsVivUnmqEBAdjQJ++iI+LQ2x0DLy9+LuAmg8mnpsJs9mMbdt3QBAEJHToAm/fAHeHREStnAQgu0CHpPgrLzQoSRJE0Q7D+aPwLM9CsEIGNOZdc99QyCI6QebfpvHGJCIiauW0Wi1OnjyFgAB/yGQyhLSJc3dIRNSMiKKI0sLsv+o4F8BgMCA+Pg7Dhg5Gx8QOrX4hOatgR5o2H9n6Yki1d3cbSZJg0xodJTTsBrNLH6vVCq1OC61OB0mS4Ovri/YJbdGxQyLiYmIR0aYNlAqm96h54iezmThw8DAunM9Cuw4dEBHdwd3hENF1QmewokxrRrC/az15SZIgQYK18DwsFw7DTyUHFI2XcD5fqIElMB5deic72kSzHbZ8HaCQwzOON+CIiIhqciYtA+UaDRIS4qHy9IZfQIi7QyKiZkKrKUZu1hkUFxWgtKQUoaEhGDniRvTs0R2enp7uDq9JiZKELH0x0ivyYZMEd4dTLdEmwFKmcywOKNmd45QkCUaTERVaLYwmE5QKBQL8A9C/T1+0i2+LuJhYBAYEsIQGtQhMPDcDBQWF2LN3H/wDAhDXrhsUShZ7J6Jrp6zCNfEsShIkQznKU7cj2EOAStV4MyJytVacKjThzPlcqL3KEX/DQHgpPGHN00Eo+2uRDLkMqkhfyDyaboGkupyozZw5E0uWLGmyGBrTrFmz8O2332Lr1q0YPnz4VY0hk8kQHx+PCxcuNGpsRETUuGw2G44cPQq1Wg25XI6QNrFMQBARzCZ95cKBBbkoKCiAl5cXhg4ZhEED+yMwMNDd4TW5YrMWp8pzoLO7zhp2N7vR7JjVbK0w4PJp2IIgQKvXQavVwma3wUvthbCQUHTqmIT42FjERMVA3cpvGlDrxMSzmwmCgJTtO6HV6tC9Z18EhrT+GktE1Dx4KOWIDvdFSMD/ks6SJEG0WVBxZhf8beUI9mici1hJkpBTYcWpIhPKTQKMRgOMRgOCfYNhO68BzJcdR5RgK9RDFdP0s55nzpxZ47ahQ4c2+fGJiIjq69y5C8jLK0BERBvI5AoEh0a5OyQiciO73YbC3LMozD2PgoICCIKAzp2TMGzIYMTERLf6G1MGmxmnNLkoNFe4OxQHSRRhrTDAUlI5q1kwuS5qaLFYUKHVQm/QAwD8fP3QqWMSEtu1R1xMLNqEhbf6kijU+jHx7GYnU0/h9OkziIqKQnRCZ3eHQ0TXAZkMaBPsjcgwHyj+OpGRJAmiJMKUdQKKkgwEKuSNUsdZlCRc1FQmnCvMAgwGPUqLChEVGo27RtyNcN8woIYJCbYiAzwi/CBTNu3JVkuZ0UxERARU/s4+duIkJEmCp6cngkIj+cQk0XVKkkSUFeUiPycDhQUF0Gp1iI2JwpAhg9ClcycoFE339GBzYBcFpGvzcV5XDKkZVHIWrDZYSitLaFjKdJAE0Wm7JEnQGwyo0GphNpugUqkQFBiIHt1uQEJcPOJiYuHv5+em6ImaBhPPbqTT6bB9xy4olUpExydyFWoianLFBTno2TUekW0qT2gq6zgDtpJsGDP3I8BTDiganugVJQlZ5RacKjRBaxFg0OtRWlyEuDZxGDPqHoR6B9c+iCDBXmKER4Rvg+MhIiJqLQoLi5CZeRbBwZW/S0PDuagg0fVIry1DXtYZFBXmo7i4GEFBgbh53Gj06d0LXl6u67e0JpIk4aKhFGcq8mAV7W6NxaY3OWY127RGl+12ux1anQ5anRaCIMDb2xtRERHo1DEJcdExiI6MgkqlckPkRNcG5+y7iSRJ2LVnHwoKChEZGYnwyAR3h0RErZjJqMPZ0wewY8sa7N+/D8Bfs5xNFSg7uAYeFw9WJp0bSBAlnC01Y+0ZDfZm65FXUo6s82cR4OGLGWP+jskDJtct6fwXW5EekuT+2QtVZDIZEhISIAgC3nnnHXTs2BGenp6IjY3Fc889B4vFUu1+x48fx6RJkxAYGAg/Pz/ceOON+OOPP5CSkgKZTIZZs2a57CNJElasWIGRI0ciKCgIarUanTt3xrx582A0up7U1qS4uBjPP/88unTpAl9fXwQEBKBjx474+9//jv3799dpjJMnTyI6OhoeHh5Yvnx5nY9NRESN79TpMzAYDPDz84WXjz/U3rxBS3Q9sZiNuJBxFKeP7cKZ06nQ63UY0L8fZs28B0OHDGr1Secyix47C9NwvDzbLUlnSRBhLtWiIi0HhbtPoeRAOnTnCxxJZ0mSYDKbUVBUiLPnzyE79yIkSUT3rt0w7dYpePje+/HgzNlIHjwUbeMTmHSmVo8znt3kwoUsHDp0BKGhIQiLjIOHqnX/ciAi97DbrCjIzURh7gUUFBRApVJBoVBU1nFO3wtfczGCFQ0vqWEXJZwrM+NMkRkGqwCdtgJlpSXoGJuESWMnIsDT/6rGlSwChAoLlIHN62fk9OnTsW7dOgwfPhxJSUnYsWMHFixYgNzcXCxbtsyp7549e3DTTTfBaDSie/fu6NKlC86ePYtx48bh0UcfrXZ8URRxzz33YMWKFfD19UXfvn0RFBSEgwcPYv78+Vi/fj1SUlLg5eV1xTh1Oh0GDBiA8+fPIzY2FqNHj4ZSqUR2djZ++OEHtGvXDv3797/iGHv27MGECRNgNpuxevVqjB8/vn5vFhERNRqDwYBjx0/A398fMpkMAUHh7g6JiK4RQbCjKO88CnPPoaCgAFarFR3at8OwoYORkBDf6us4m+xWnK7IRZ6x/JofWzBbYa4qoVGuA0TniTGiKEJv0KNCq4XFYoGnpydCgoPRt2dvJMTFIzY6Br4+Ptc8bqLmgIlnN7BarUjZvhMWiwVRUZEIi2zr7pCIqJWRRBGlRReRfzEDhYWF0Ov1iIuLxZBBAxDvI8B85DcEKBtex9kmVM5wPlNsgskmQluhQXlpKbokdMHkfrfCT9XwWVj2In2zSjxnZWXB29sbGRkZiIioXBD2/Pnz6N27N5YvX4758+ejffv2ACpPQmfNmgWj0Yg33ngDL774omOcr7/+Gvfff3+1x3j//fexYsUKDB8+HCtWrHAcx2q14h//+Ae+/vprzJ8/H2+//fYVY125ciXOnz+PW265Bb/88ovT4iTFxcUoLCy84v4bN27E1KlT4eHhgU2bNnGxRSIiNzuTloHS0jLEx1eW1wgIauPmiIioqUmShPLSfORnp6OosAAajQZRkREYMngQunXrAqWydad1BFHEWV0hzuoKIFyjJyElSYJNZ/yrhIYOdr3JpY/NZkOFTgutVgtJkuDr44uE2Dh0TOyIuOhYREVEtPrvDVFd8F+BG5w4eQrnzp1HdHQUgsNioOJsZyJqRDpNCXKzzqC4qAAlJSUIDg7G+PHj0LNdG5jPHYC3RQY0cME+myAio8SMM8VmWOwiNOVl0JSXonv7npg68Db4KBuvZr1QYYFotkOubppfWVeaHfLLL79g8uTJLu3//ve/HclgAGjbti3uuecefPzxx9ixY4cj8bxlyxakp6cjMTERzz//vNMY9913HxYvXoxdu3Y5tdvtdixYsAA+Pj744Ycf0KbN/5IKKpUKH330EdauXYsvvvgCb7755hVXui4uLgYAjBw50qVfWFgYwsLCatz3xx9/xIwZMxAcHIyNGzeiR48eNfYlIqKmZxcEHD163PH0kqeXDzy9OIOOqDUz6DXIyzqD4sJ8FBYVwt/PHzeNGoF+ffvA17f1//vPNZbhjCYXJsHW5McS7QIsZX/Nai7VQbQ5l/GQJAkmkwkVOi0MBiMUCgUCA/zRt1dvtEtoi7iYWAQHBrX6medE9cXE8zVmsVhw4MBBqFQqeHp6crYzETUai9mAvOw0FBfkIL+gAGpPNQYNGoAhvbtBzD0Odc5FqFUNOxGy2EWkl5iRXmKGxSZAU14GrUaDXom90G/wHfBSNs2NNFuRHp5xgU0y9syZM2vcFhfnumCTh4cHRowY4dLesWNHAEB+fr6jrSqpPHXq1GoTxHfeeadL4vnw4cMoKSnB6NGjnZLOVby8vNCnTx+sXbsWGRkZSEpKqjH+Pn36AADeffddtGnTBhMmTIBfHVbK/uyzz/Doo48iPj4emzZtQocOHWrdh4iImtbF7IvIyc1FWFgoAM52JmrNbFYz8i9moCg/CwX5BZArFOjTqyeGDBmENuGtv8ROhdWI1PKLKLMamvQ4dqMFltLKhQGtGgMguZbQ0Op0qNBqYbNZ4eXlhdDgEAzqNwDxsXGIjYqutfQd0fWOiedrLPXUaeTm5SMmJhpBYdFQeXK2MxE1jGC3oTDvHApzzyG/oBCC3Y6kjokYNrg/Akz58MnZC4W8YQlns01EWokJGSVmWO0iystKoddq0TupD/oO7Qu1wrORXk317CVGqKL9IVM0/pq4S5YsqVf/iIgIKBQKl/aqhO6lCwxWJaFjY2OrHau6xPaFCxcAAH/88UetMyZKSkqumHgeNWoUnnzySSxatAh33303lEolevfujdGjR2P27Nlo166dyz45OTl45JFHoFarsXXrVsTHx18xBiIiujbOX8iCzWaDWl15/cD6zkStjygKKM7PQmHuWeQX5MNsMqNtQgKGDRuMDu3btfrZtBbBhjMVebhoKG2S8SVRglVr+KuEhhaC0XVhcIvVAq1WB51eBwmAn68vOnbogI7tOiAuJhZtwsOrvRYgouox8XwNWSwW7N9fOdtZpVIhnLOdiagBJElCeXHuX3WcC1BRoUV0dCSGDh6I9sEKSLmH4O0hBxqQdDbZRJwpMiGz1AybIKKspBhGgwH9OvVHrxt7wVN+jVZhFiTYS43wCG94zeiGulJpi8YgiiIAoEOHDhgyZMgV+4aEhNQ63sKFC/HQQw9h9erV2Lx5M3bt2oX9+/djwYIFWLFiBaZOnerUPzw8HF26dMGff/6Jp59+GitWrGB9OiIiN7Pb7TiTlg5v78pSVipPL3j5XN3CvUTUPGnKCivLahQVoqysDOHhYRg7ehS639ANKtU1Oud2E1EScV5XjAxtPuyS2Lhj2+ywlOpgLtXCUqaDZBectkuSBIPRiAptBUxmEzyUHggMCMSgfgPQNj4ecTGxCPAPaNSYiK4nvJK8hk6dPvO/2c6h0VB58pEMIro6em058rIr670VFRUhMCAAY8eMQp+kWFjOH4RXkQR4XH2C1GAVcLrIhHNlFtjsAspKimE2GjGw62D0aNsDHrJr/+vDXtw8Es/1ERkZCQC4ePFitdura4+JiQEAdOrUqd6zsWuSlJSEZ599Fs8++yzMZjM+/vhjPPPMM3jkkUdcEs8qlQpr1qzBhAkTsHLlSsjlcnz//fec2UFE5EZ5efkoKSlFaGjlDUeW2SBqPUwGbWW5vMJcFBQUwtfHB8OTh2FA/77w92/9N5gKTRqc0uTCYHedfXy1bHqTI9lsq3At12EX7NDpdKjQ6WC32+Dt5Y02YW3QKbEj4mNjER0VBU9V0z7RSXS9YOL5GrFYrdh/4CA8qmY7R3G2MxHVn9ViQv7FdBTlZ6MgvwBKDw/069cHw/r1BApS4ZVzAF4eVz++3iLgVJEJF8otsNnsKC0phtViweBuQ3BDXDco3ZBwriIabRCNNsi9G/ACr7GqGcu//PIL3nzzTZfHI3/66SeXffr164eAgABs27YNZWVlCA4ObtSY1Go1nn76aSxcuBD5+ZU3LsIvqxXo5eWF33//HePHj8dPP/0EhUKBpUuXMvlMROQm5y9kwWq1Osps+AezzAZRS2e3WVGQk4nCvPMoKCiEJEm44YauGDZkMKKiIt0dXpPT2Uw4pclFsVnb4LEkQYS1wgBzSQUspVoIZtfFCM0WMyq0Wuj1eshkMvj7+aNrp85IbNsecTGxCAsNbfInG4muR0w8XyOnT51BTk4+YmKiEBQaxdnORK3E6dRj2Ld7O1JPHsGpE0dQVFhZ0/dAakG9xzp0YDcOH9iN1BNHkHriCDTlZYiMisFvfxyEKAgoyj+PgtyzKCgogNViRft2bREaHIA35r+Mu46nIiTAD/dPGYWXH7i92pOmHzbuxN9eXIR1H/0TYwf3dNqmNQs4VWREVrkVNrsdJcWFEG0ChtwwDF1iOkMpax4JR1uJEZ5xLedRt5EjRyIxMRFpaWlYsGABnnvuOce2JUuWYMeOHS77eHp64tlnn8VLL72E2267Dd98841LLebc3Fxs2bIFM2bMuOLxf/31V0RERGDgwIFO7YcOHUJhYSF8fX0RGBhY7b7e3t5Yu3Ytbr75ZqxYsQJyuRzfffcdT8iJiK4xQRBwJi3NsYCV0sMT3j4t53chETkTRRGlRRdRcDEDhYWF0Ov1iIuLxdAhg9ApqWOrP9eyinakV+QjS18MqfbuNRIstv8tDFiuhyQ4l+gQRREGgwEVOi3MFjNUHp4IDgpEr+490DausoSGr0/LepqSqCVi4vkasFit2HfgIDw8lPBQqRAe5bqYExG1TF9/9gG2bdnQKGO9/9bLyEhLdWkvL81HfnY6igoLUF5ejoiINhgyeCCivEV0GzgceqMZowf2QEZWHv71xX+hVqnw3L1TnMbQG014dtF3uHV4f6eks8ZkR2qRCRc1VthtNhQXF0ImAkO7D0OnyE5QyJrXia9QZoQU69+oC6vMmjWrxm1xcXH417/+ddVjy+VyfPvtt7jpppvw/PPPY8WKFejSpQvOnj2LAwcO4NFHH8Unn3ziUrfv+eefx5kzZ7B06VJ07twZvXr1Qtu2bWG1WpGWloZTp06he/futSaeU1JS8OGHHyI6Ohq9evWCv78/8vLysGPHDoiiiPnz51+xZqCPjw/WrVuHcePGYfny5VAoFFi8eHGrvyAiImpOCgoKUVRUgqCgQABAQHB4q19gjKi10mpK/qrjXICSklKEhARj4oSb0atnd3h6tu7SDpIkIUtfgjRtHmyiUPsO1exv05lgKdXCUqqFTWdy6WOz2aDV6aDVaSGIInx9fBATFY1OiR0RFxOLqIhIeHi0nKcniVoDJp6vgcrZznmIiYlCMGc7E7UqN/Togw4dO6NLt17o0q0nbh3TD1br1dUnGzg4GTeNnYQu3XoivE0k7rw1GTabFWeO70VBYRH8/XwxauRwDLihA7xKM/Dep9+gVKPD9289iTvHDIHZYsWAGc9jwbe/4ql7JsHD438/4l//aiXKKvRYOHcWAKDMaEdqoQm5WitsViuKiwrhIVdiRPcRSIzoADmaZ2JRsokQKixQBqobbcxvv/22xm09evRoUOIZAAYNGoTdu3fjn//8J7Zv347MzEz07NkT69atQ2lpKT755BOXRQKrZhdPmzYNX3zxBQ4cOIDDhw8jKCgIsbGxeOaZZ3DnnXfWeuxZs2ZBqVRi+/bt2L9/PyoqKhAREYHx48fjiSeewKhRo2odw9fXF+vXr8e4ceMcM56//vprJp+JiK6RrOxsmM1mx4xn1ncmanksJsNfdZxzkJ9fALVajSGDB2LQwP6Om0qtWYlZh1TNRehs5nrtJ9oFWMv1lQsDlmohWu1O2yVJgslshlarhd5ogEIuh7+/P3p174H2Ce0QFxOLkOBg3qwjciOZJEkNebqBamG1WrHk2+UoKCxETEw0kroPhafa291hEVETGdIrHlar5apKbVSxWS04fWIf7vv7HQgIDMSTTz2Lrl064caBfRFqK4RUlgUZgHteWoRft+6Hbtdyx8nU29+swkuffI//Z+++wxupr4WPf9Utyd2We9/ee++79BYSCAkhIQS4l/RKyk1uXtIuaSQQUiFAICGhQwih99B7Z3ux10WSmyRr1Gfm/UNe7xpp195d2bK95/M8Kcz8NHNsbGt05sw5W//5WybXJnvDbWtuZ97Hvs53LzyLz513Ju95wnT0xYlFo3R6PeSYbaydt46msiaMjP2LMlOJnZymzPY9zpbPfvazXHPNNdx6663DSiQLIYQ4tmiaxg03/o2ODjfV1VWYzBZmLliHYYw9kSSESE9NxPG078Ldtgt3hxtVVZk6ZQprVq+gtrZmwidElUSUzb5W3GH/sF+TCMcGqpqjvUH4QMpK0zT6gkH8Af9A7/uS4mKmT55KfV0dtdU1OOyScxFirJCK5xH2/uat7G1tpbq6ivxClySdhRAHpWkaXe5m3K072L59GwBmk5lzP/oRJhdo6J7XQUsMpIZ7+xQKch2DLlgL853JfYH905u//IvrqXQVs3TNBh7bESAajdDl8eC0OTl56ck0lNRjGAcJ533U3gi6qmEwjY8P3T09PQQCARoaGgZtv+2227juuusoLCzktNNOy05wQgghxjSvtxOPx0thYbKnc0FRmSSdhRgHdF2np7MtORTc48bv76O2popVK1cwY+Z0zBN8YHNCU9kecLO7z4s2RCdnXdOJB0IDVc0JJbUqOhaLEegLEOjrQ0cn15nLpIYmpk6eTF1NLRXl5ZhNkt4SYiyS38wRFIvFePmVV7FYLFitVorLarIdkhBijPL3emlv3kqnt4Pu7h7sOcnHaXMdNiYndkOHkpIarqso5dEX38LXp1CYl0w4b2tuH9gHcMP9z/Loi2/xjS9/no5AMuFc4CzgtBWnU1tUM64SzgM0HdUXwVwyPm7kbdu2jRUrVjB37tyBIYGbN29m69atmEwmrrnmGpxOZ5ajFEIIMRY1t7QQCoWoqEi218jNLxniFUKIbAsGevrbanTg9XopLCzkpBOPY9GiBTjsE7vtpq7rtIZ62OJrI6olDrpOiyeI9vT1DwfsQ08M7vms6zqhcAh/IEAoHMZsMlFYWMjSRYtpqm+krqaWwoKCCV8xLsREIInnEbR5y1ZaW9uoqqrEYs0hr6A02yEJIcaYSChIe8sWvJ42PB1uHE4Ha9esoqmqhMv+33chEYOYkva1J69ayLV3Pco3r/wrv/jqp3h3Zws33fcUi2Y0kTA7uO+9Tv7nN39j7qyZuArz0UJxPrT6w1QXVI7PhPMBEr3hcZN4bmpq4gtf+AJPPPEETz75JIqiUFpaykc+8hEuvfRSVqxYke0QhRBCjEG6rrNl6zZsNttAcsWRW5jdoIQQBxWLhpMDwd0tuDvcmC0Wli5ZxKqVKygtnfg3jXqjCu/59uKLhdLuTyiRgarmmF/hg4XQqqoSCPYRCASIJxI4cuy4SkuZNmUq9bW11FTVkDPBBzAKMRFJ4nmExONxXn7lNUxmU7La2TXx+zcJIYYvkYjhad2Ju20PHo8bTdOYNWsma1YsppJeOra8PuQxzli3hOOXz+OGex/nhnsfB8BqsXDOR8/mmT193HL73fh8Pi695BLOWncWFXlloEM0GiXHlrnhfNmg+qPomo7BOPb/rpaVlfG73/0u22EIIYQYZ7q7e2hv76CgINlmw2K1YR3n799CTESqmqCzYzfu1l24PW6ikSiTJzWxZs0qGhvqJ3weIJyIscXfRluod9B2XdOI+ZSBZLMajqW8NhqN4g8ECCpBAPJy85g+dRpTmiZRV1NLuatMBloLMc5J4nmEbN+xk9bWNiorKwADxa6qbIckhBgDdF2j29tKR8t2PF43wb4gtbXVrNxAoJYAALbHSURBVF65guklJvC8DWocwxC90Pa576r/4cZ/P8XTb24jbrCxdNkyCvPzeOP113j48af47Ccu5Itnfp5wJMyXf/odbnvwbkKRMNMbp/Krb/6YdYtXjfBXPEI0HTUQxVwoH8CFEEJMTHuam1GUEGVlZYBUOwsx1ui6jq+7g/aWbXi9bny9Pioqyll98grmzJ6F2Tyx0y2qrrEr4GFHnwdV1wCIhSMonl70vgix3iC6qg16ja7rBBUFfyBAJBLGarVSVFjIvNlzaKirp66mlvy8vGx8OUKIETKx/xJmia7rvPve+6DrWK1W8otcWKySHBHiWNfn7+7v99ZOZ2cXxUVFnHzSCSyaUoW1cwu09x3W8TRdZ29fgsrpizi1cT5KsI/uzk4cBS7eeG0LFSVlXPZf3wLg+7+7nL/+61b+5+KvMbNpGr+66Xec843P8NZdz1BRWj4SX+6IU30RSTwLIYSYsHbu3IXZbB6olnRK4lmIMSMU9NPesoVOTzsej5e8vFw2bVzP0iWLyc2d+LM72kO9bPa1EVZjxINh3DtbCLp7yDPZMH1gcGIikSDQ10egL4CqqjgcDqorK5g2ZRp11TVUV1ZhtVqz9JUIIUaaJJ5HgLezk507d1NUXAxAiQwVFOKYFo2E6GjZite9lw63hxyrleXLl7J68RwK+pph7yuHdTxV09ndG2WzN0wwqhLsC9Dd6WVS9RROOeEUXn7tVR5/4T/8/efXYs+xo4RDXH/3zZx78ll856KvAjB36ixmf3gl19xxE5d97lsj8FWPPNUXBgqzHYYQQgiRcdFolNa2dnJzcwe2ScWzENkXj0Vwt+7A074Ht9uD0WBg/vy5rF65YmAI6EQWiIXY7G8nHosRbPHw7itvEPT3UVVRSaEtOX9F13Ui0Sj+gB9FUTAYDRTk5TN31mwmNTZRV1OLq6R0wrcgEUIkSeJ5BGzdup1gMEhZmQuL1SbTp4U4RqlqAm/7Ltxtu3B3uInH40ydPIm1K5dSawmit78M+vBaagAkNJ1d3RE2d0YIxVT6/H56ujuZWjedM04+nXxrHtFYlG/9+jI2LlvLhzacAsDu1j3EE3EWzpw3cKyG6jpKi0rYsntbxr/u0aLHNVQlhskpFRJCCCEmFm9nF4oSwuVKDic3GI3YHfL4uRDZomkqXe5m3K07cbvdhEJhGhvqWb16BVMmT5rwfYh1XScQDxMIBwlv7+CFl1+i1+ej3FVGWX0DmqYR6AvgDwSIRqPYbDZKiotZPH8hDXX11FbXkOuc+JXgQohUknjOsGg0yltvv0Nubi4Gg4HCkiq5kyfEMains42OvdvweNz4fX6qq6tYtWIZsyodGN3vQyLGcP8yxFWdHd0RtnSGicQ1Ar5eenu6mdk4mzOXnUmeZf9F3G9uvoaWjjbu+PVNKccJR8Ip/zzeL5JVX0QSz0IIISYcr7eTWCw28Pi5w1mAYZy/ZwsxXvl7PMl2eV433d09uFwujtu0gXnz5mA7RlpEqJrKnm07eeaF52hpa6Uwv4D6mloCwT527dmNruvkOnNpqK1j6pSp1FXXUlVRMeH7XAshhiZ/BTJs587ddHZ2UV2dHCZYVFqZ5YiEEKNJ7x8KuPmdl/B6vBQUFHDC8RtZOqMeW9c2fv+rW/n9bQ9y5oZlXP6l84Y8XlzVuW9zL9GEhq+3B19vD/MmzeOsFWfjNNsHrd3rbuOKG3/LF8+9mKn1kwa2N9U2YrPauPux+/j8xy/CYrZw31MPoYRDzGiamtlvwChTfRGozs92GEIIIURGdXS4MRoMAwUs0mZDiNEXDvUl2+V52vB0uHE4Haxdu5rlS5dQUHBsXH/quk5L616efv5ZtmzbSiwex2G3E+gLEFQUCgvyWbxgIU0NjdTV1FJcWCSFd0KIQSTxnEG6rvP2u+8CYLFYsDvzybHnDvEqIcR49uzTj3L9n65E0zTisQiJeByAK37+U+wOO/m5TmYUJbDlegHo8gXY2txOR1dvyrGuu+cxbvjn42g6BCPJ43h7fHzz+z9GTSRw2J38/vtXsHzm4rSxfOeqH1KYX8C3+/s47+PIsfPZcy7gNzdfw4rzTmRybSOPvfQU+c48/vvsCzL3zcgCLRRHi6kYraahFwshhBDjgKZpNLe0YHc6BrY58wqzF5AQx5hEPIanbSfutt24PW50TWfW7JmsXrWCmurqbIc3anp6e3n+5Rd57a038Hi92GxWCvILKC0uYdqUqdTX1lFbVY3dbh/6YEKIY5YknjPI29nJ7t17KClJDhUsKq3KckRCiJHW093Ju2+/nrK9tXXvwP+/+Fs7iUQTRGIxcqwWAHoDwZTXNHd08dK72wdtSyQS7GnZf6zzvvHfKGGFeCJBTXklG5au5evnf56de3dz7xMP8Jef/J5cR7L1xjvb3ucbV3yf195/k6L8ApbOWcSethYead3Dgulz+OlX/x9lxcnekXc8ci+f+d8v8M/f3MxxK9Yf9fdlNKmBKMZSx9ALhRBCiHGgp7cXvz8weLCgsyCLEQlxbNA1jW7vXjr2bsfj8RAMBqmtrWHNqpVMmzYFk+nYKHRQVZWXXnuF519+EZ/fj91uZ/mSpUxtmkxdTS3lZWXHzPdCCHH0DLp+GJOtxCE9/8KL3P/AIzQ1NWAwGpk5fx1my7HR80mIY5Gv2017y1a8Hje9vb2Ul5exasUy5tUWYvRspmzNuSiRKHMn11FVlrwh9f6uVrY1t2Mxm7nzl5dy2trFhOIaW7xhdnZHiKsaPV2dhBSFpTOWsqBpIbFIjIr108h1OJk9eQYVpeXEE3He3vYee91t5Dvz+Pfvbx00PDAQ7GPOR1YRDClsWraW7S272N68kx9+4Tt849NfHPR1BEMKC89Zx8IZ87j1l9eP6vcwE8ylDmyNRdkOQwghhMiI9zdv4ZZb76C+vg6j0Ygtx8G0uauzHZYQE1qfv4v25q10ejvo7OyiuLiIFcuXsnDBfHJycrId3qjSdZ3b7rkLh91OY309dTW1FOTLzS8hxJGRiucMSagq77z7HnZHDgaDgfyCUkk6CzFBhZUAbc1b6PS04/F4yc11smH9WlbMmYy9Zzu07gbgnl9/m0UzmsixDf5b8MfbH+KLP7+O//rxH7nnul/T4k8QT6j0dHUSCYdZPmsF8xrmYTEk/0QbrQYe/fM9LJm1YNCADlVV+dGffsGvbvo9X/nZ//DMXx8Y2HfDPTfT7evhxv/7A2cffwaRaIS1F5zKlX/9I18+7xIsZsvA2p9ffxW9fh8//9oPRvC7NnLUQDTbIQghhBAZ4/V2AgwMAJb+zkKMnGhEob1lG53uvXS4PeTYbKxYvoyVK5ZRXHxsFjYYDAY+9uGzpFezECIjJPGcIa17W/G4vZS6ko+tFxRXZDkiIUSmxeNRPK078LTvoaPDjcFgYO7c2axdvpCyuAe99eVB61fNn572OJ/80PH89KZ/0eb28uSbO3HmWIlHo6yYvZo5dbMxGwY/umY2m1kxb0nKcUwmE9+/5Jv8/tbreGPL2/iDAQpyk4NO3t72HnZbDmcddzoAObYczjnxw/zgDz+jpaOVSbWNAGxv3sXvb72eb37mS9RX1R719ygbDGYjekLDYDZmOxQhhBDiqDW3tGC17r9p7ZTEsxAZpybieNt3427fhbvDTTweZ9rUyaxZvZK62tpjPul6rH/9QojMkcRzhmzbvoNYPD7wGE5eQUmWIxJCZIqmaXR7Wuho3Y7H7UFRFBoa6lizcjlT8jV07xugqQx1eeaPJNjsDdPcG0PrXx3o6WHTxjOZWT0Dk+Hwe6UZDAZMRhMGgwHrAVXMvj4/+bn5gy4aC/MKBvbtc+kV36e6rJKvfepzh33ubNA0DdUK9pJ8TPlWTLk2STgLIYSYMBRFwevtxOl0DmzLceZnMSIhJhZd1+ntbEv2cfa68fv8VFdXsXrVCmbOnIFZehcLIURGSeI5A8LhCO9v3kJeXh4Adme+tNkQYoII+DqTbTW8brq7uiktLWHjhrUsaCjF7N0C7tCQCWdfOMF7njB7/THi8TgPP/Iobo+H2qpqvnPet7GaLEMcIT1d1/n1X/+AEg6xbvEq7Dn7J0rXlFfz+Ev/wdfnH0g4b2/eObAP4N4nH+Dxl57m9l/9hRzb2Oxdp+kavnAfXYqPLqWXN959i3UnbmRZ3fiszhZCCCEOpbOzC0UJUVm5/+lJm81+iFcIIYZL6eulvXkLXm8HXo+XgoICTjzhOBYvWoDDIYOqhRBiJEjiOQN2795DT08vNTXJZE5eQWmWIxJCHK1IOEh7y1Y63W243W7sdjurV69k1fzp5Pp3QevrQx6jJ5TgPU+Ia277Ny17W+nr68Pb2YXb20mlq5x//PTPh510/v5v/w9vTxcBpY/3dmxmV2sz0xqn8Pvv/XLQuhNXbeSGe27me7/5MT/58v/y/s6t/P3+O1gwfS7lJS7CkTD/c9WPOGnVJk5Zc/xhxTCSBhLNwV46lV56Qn4SmjqwXzdC8+49LFu5PItRCiGEECPD6+0koSawWJLXByazBZP5yG5QCyGSYtEwHXu343W34O5wYzabWbx4IatXrsDlks/uQggxkiTxnAFbt20DGBj6JW02hBi/Eok4nradeNp20+HuQFM1ZsyYxroVS6ikB73t5SGP0aXEec8TpqMvTiwa5ZXXXmfHrj0D++sqa7j2sqtYMGPuYcd375MPsKu1eeCfZ0+ewXU/upqG6rpB605dewKblq3jpn/dyk3/uhUAm9XGz752GQBX3PQ7PN2d/Pv3tw68Rtd1orHoqFY/a5pGbzgwUNHcHfKjHpBo/uBai9WCu72DkKLgOOAxZCGEEGIiaG1rx2Ta/xHNapMqTCGOlKaqeDt2427bicftIRKJ0tTUwNrVK2lqapQ+xscwPeQDXcfgPDYHSAoxmiTxfJTC4Qi7du0hPz/Ze81oMuPILchyVEKIw6XrGt3eNjr2bsPr8RAI9FFbk+z3NqPEBJ63QUscsq2GJxjnPU8IbzBBNBKhy+vBaXNyz+9vpqGkHn9fgPd2bOFn11/FSZ89m//32W/xrQu/fFhxvn33cwB0+Xp4c/Pb/PCPv2DN+afwu+/+gvNO++igtXdeeSN///cdvL75bYryCzj3lLOZ3jiF3W3N/ObmP/GVT36WppoGwpEw37ryB9z24N2EImGmN07lV9/8MesWrzrcb+OQ1IFEcy9dwWRFs6praddqmkY4HEYJBgmHwoBOTo6douJiTGZ5+xJCCDGxJFSVva2tOOz7W2tImw0hjoyvu4P2lm14PW56e3spLy/npBOPZ+6cWQNPFIhjh66p0OdF93eA3w3xMOSXY5i8OtuhCTHhGXRd17MdxHi2c+cu/nrzLVRVVWKxWCgoKqd+yrxshyWEOAzBQE+y35ung87OToqKili+bAlLplRh6dwMUeWQr+8IxHjPG6ZLSRCJhOn0uCl0FrJ23npqi6oxfCBdHU/E2Xjhh3hz6zs89Zf7WDRz/hHH7g8GWHbucXT7enjjzv9QU1415Gs++vULeHfHZl6//SnsOXYuveL7/Pmuv/I/F3+NmU3T+NVNv2PL7u28ddczVJSWH3FsAKqm0hsK0Kn00qX46An50Q6VaA71J5rDIdDB7rBTUFhIfWMDldVVlFeUU1RSjEkGvwghhJhgfD4ff7rmehxOB7m5uQCUVTVSUTMly5EJMX6EFD/tzVvp9LTj8XjIzc1l8aIFLFu2hLz+3ytxbNBjYfB3JJPNwU744FOVRhOGuadjMMrnCiFGkpSMHaXW1jZUVR24ayptNoQYP6KRULLCuWMvbrcbq9XKsqVLWL14NoXBZmh99ZCvb/PHeM8ToiesEg6F6PJ6KMkv5cOrz6KqoCIl4byPxWzhrONP540tb/PAM48eVeK5IDefk9ccz5/vvIknXvoP55/x8UOuf/i5x3nw2cf4+8+vxZ5jRwmHuP7umzn35LP4zkVfBWDu1FnM/vBKrrnjJi773LcOKx5VU+kJ9Vc0K730hAJDJJpDBIMKkVAIDAbsdjsFRYXMW7SAiqoKyisqKC4pxmg0HlYcQgghxHjT1xckGotRWFQ4sE1abQgxPPFYFHfrdrwdzXR0uDEYDMybO4fVq1dQWVEx9AHEuKfrOoR6+6uaOyDsP/QLNBWCXZB/dIU2QohDk8TzUdB1ne07dpJj398PNVcGCwox5qlqAm/7bjxtu3C73cRiMSZPamLdyqXUWvrQO14F0j8Mous6e/0x3veE8UVUQopCl9dDeXE5Z6/7KOV5ZQdNOB+opLAYgK7enqP+ekoKi/qP1X3IddFYlG/9+jI2LlvLhzacAsDu1j3EE3EWztz/pEZDdR2lRSVs2b1tyHMnNJWekL+/dYaP3rAf7SAP0miaRkgJoQSDRCJhAOwOB8XFRdQvXkBFZSXlleUUFUuiWQghxLEn0NdHPB4f1AZAEs9CHJqmaXR5mnG37sDj9hAKhaivr2XNqlVMmTJJriknOF2NQ6C/hUbADYno4b0+4MYgiWchRpQkno9Cd3cPnV1d5OXlAWCzO7GO4lAuIcTh0XWd3u4OOlq24vW48fn8VFVWsGrFcmZX2jF43gc1njZtrOk6Lb5kwjkQVVGCQbo6PdSU1vDxjefich7eTadnX38RgKaa+qP+uvYdq3GIY/3m5mto6Wjjjl/flLIv3J8IPvCf012oJ9QE3SH/wDDA3nCAg3VsSiaaFZSgQjgSxgA4HE5KSkuob2qkorKC8opyCouL5EOBEEKIY15fXxCDwTBo4Jk1R3o8C3Ew/l5vsq2G1013dzeu0lI2bVjHvPlzsVmt2Q5PjBA9GuxvoeFOViwf5OnKYfF7oCZzsQkhUkni+Si0trUTCoVxuVwA5Em1sxBjlhL00d68hU5PBx6Ph/z8fI7btIFlM+rJ6d4G7YG0r1M1nWZflPc9YfqiKkqwj+7OTuorGjjxuE9RYk8/CfmFt14hGAqyadm6QUnVeCLOdXf9jVsevAu7LYezjj9jYN+fbv8L19xxI2esP4kffuF/BrY/9OzjFOYXsHzu4kHnCEXC/OKGq3n29RcpLynj+BUbDvr173W3ccWNv+WL517M1PpJA9ubahuxWW3c/dh9fP7jF2ExW7jvqYdQwiFmNE0lrib2VzQrvfSG+tAPUg2uqmp/64wgkXAEg8GAw+mgtKyU+sYGKqoqKSsvp6i4SKaICyGEEB/g9w9+LNxgMGKx2LIUjRBjVyQUpL1lC52eNtxuD3a7nTVrVrF82RIKCwqyHZ7IMF3XINi9fzBgtC9zB4/2oUcVDDZn5o4phBhEEs9HobmlBQMMJJWkv7MQY088FqFj7/5+byaTiUUL57Nm2XxKwm3Qlr6Ps6rp7OqJstkbRompBPsCdHd1Mql6MqeecAqFOYe+qN25dzef/dHXKSksZsH0ORQXFNHt6+W9nVtwd3nIsdn40/+7ctAwwG5fD9ubd+Lu8g461mvvv8lPr7uSqrIK5k6ZRX5uHp7uTt7Z9h49AR8Fufn89fI/kus4+AXTd676IYX5BXy7v4/zPo4cO5895wJ+c/M1rDjvRJpq63n8xf/gdDiZvWge97//n0MmmvdVNEci+xPNrjIXDU2NVFRWUlZRTmFRoSSahRBCiCF0dXdjOaBK02qzy/unEAdIJOJ42nbgaduD2+1GVVVmzpjO6tUrqa2pznZ4IoP0RAwC7v4WGh5Q4yN3smA3SOJZiBEjiecjFI3F2L17D7n9bTYMRiPOvPSVj0KI0adpKp0dzXjadtLh7iASjtDU2MCaVctoskfQPa+nfSwroens7I6wxRshFFfp8/vp6e5kWv0MzjjpdPKtecM6/+oFy7n0gi/x3Bsv8u6OLXT7erBaLNRV1nLmxlP43McuZFJt47CO9aENJxMMKTz/5ku8tvktev0+7Dk5NNU0cOFHPslnz/kMFaUH70325MvPcO8TD/CXn/w+JTkdU+P893kX4Q328uCTj7Bj7y4a6hs472PnoluNHNjrWlVVFEUhFFSIRiIYjAYcDieVtbU0TJlOcWEelZWlFBRKolkIIYQ4HLqu09PdO6g9gDVH+jsLAcmK125va7KYxOOhLxCgpraG1atWMGP6NEwmU7ZDFBmghwP9LTQ6QOnhYDN3Mn7eUA+GkrpROZcQxyKDfrDmnOKQ9jS3cNNf/05ZeRk2q5W8glIapy3MdlhCCMDX40m21fB66OnpoazMxaqVy5hXXYDJuyXt0Im4qrOjO8KWzjCRuEbA10tvTzezGuewfMZyci0T4y54LBGnO5Tsz9wZ9OGPHPxRNTWRTDQrwSDRaBSj0YjD6aC8spr6yVNxFpaCOYd4Ivk2UlnqpLosd7S+FCGEEGLCCAYV/vCna7FYrBQU5ANQUl5Hdf30LEcmRHb1+btpb9lKp6eDzq5OigqLWLF8KQsXzMdul/lK45muqRDsTPZq9ndALJSdQBzFGKcfvGWhEOLoSMXzEWpraycejw9UJUibDSGyL6wE+i9Mk/3ecp1O1q9bw4o5k3D07ID2PSmviaka27sibO2MEE1o+Hp78PX2MG/yfM5ecTYO8/ge6hNLxPv7MyeTzf5I8KBrk4nmIMGgQiwWxWhIJpprGxqp25doNtkGEs1xgMT+e5fB8Ag+AieEEEJMYH3BPqLRGLm5+2/g2mzj+xpEiKMRjYSSA8HdrbjdbqxWK8uXLWXlimWUFBdnOzxxhPR4ZP9gwD4vaIlshwRhH7qmYZBh50KMCEk8HwFd19mxcydW2/5hH9JmQ4jsScRjuFt34GnfTYfbA7rOnDmzWLd8EWVxT9o+ztGExtbOCNu7IkQTKr7eHgL+XhZMWcSSVedgN43PCopoIjaQZO5SfAQOkWhOJBIowWRFcywWw2g04sx1Uj+pidqmqeQWlKAfmGjWGZRo/iAlHEfXdWmzIYQQQhymQKCPWCyGdVCPZ2m1IY49qprA274Ld9tu3B0dxONxpkyexJrVK6mvr5PrzHFG13UI+/Ynm0O92Q4pla4lY3TKDQ0hRoIkno+A3+/H7faQ39/fGYMBm10eLxditGmaRrd3L+6923F73CjBEHV1NaxZuYxpBRq6903Q1UGvicQ1tnSG2dEdIZbQ6O3pJugPsGjGYhavWYzNaE1/sjEqEo8NqmjuiyoHXfvBRLPJZMThdNI4ZSq1TZNx5JegG63E1WRyOTZEovmDNE0nFEngtFuO9ssSQgghjinBvuSNYuMBFXcms3xUE8cOXdfp7WqnY+82vB43Pp+fqqpKVq1cwexZMzDL78O4oasJ6PP2DwZ0QzyS7ZCGpvRI4lmIESJ/vY9Aa1s7waBCSUmyvUZOjnPQRaIQYuQFfJ39fZzddHV1U1pawoZ1a1nYUIzZuxU8YQ6shwjFVLZ0RtjZHSGuavR0dRJWFJbMXMaCtQuwGsdHsjQSjx5Q0dxLX/TgvdAS8TiKohAMKsT7K5pz83JpmjaNmsbJOPKK0YxWEgcmmtWja/sfDMcl8SyEEEIcpr5gED4wesdoko9q4tig9Plob9lCp6cdr6eT/II8jj9uI0sWL8TpnBhzViY6PapAwJ1MNvd1ph3iPpbpoV6kll6IkSFXM0egZW8rsL8iIcch1c5CjJZIWKGjZSudnlY6OtzY7TmsWrmC1Qumk+vfCW0tg9YHowm2dEbY1RMlnlDp6eokEg6zYtZK5jbMxWIY238Gw/FIf6LZR1ewl+Ahhm7E4/GBiuZ4PI7JZMSZm8uUGTOorp+EPb8IzZDZRPMHBUMxyovl0WAhhBDicHR396RUOBuNpixFI8ToiEUjuFu34e1ooaPDjclkYtGi+axatYIylyvb4YlD0HUdlO79gwEjgWyHdHSUnmxHIMSENbYzLmNQQlXZuXPXoDuvOY68LEYkxLFBTcTxtO/C3bYLd4cbVVWZPm0a61Yuoooe9PZXBq33h+Ns6YqypydKIpGgu6uTRDTG8tmrmFM3G7NhbH6YC8Uig1pnKLHwQdcmE81BlKDSn2g2kZuby9RZs6iun0ROXhGawbI/0awBZDbR/EHBkAwYFEIIIQ5XV3c3tgPmxwAYTWPzWkWIo6WpKp3uPXS07sDj9hCJRGhqamDNqpVMmtQkfZzHKD0Rg4Cnv4WGB9RYtkPKnGgQPRHDYB5fbReFGA8k8XyYfD4ffX1B8vL2Vznb7ZJ4FmKk6LpOT2crHXu34/W48fsD1NZUs3rFMqaXmjF43wFNHXg0qkeJsqUrxl5fjHgiQZfXg65qrJqzmpnVMzCNsYRzKBYeNAzwkInmWKy/dUaQRDyByZxMNE+fPYfK+iZycgtHPdGcEmNCI57QsJil/ZAQQggxHPtmMFgsg1tVmYzyUU1MPL5uN+0tW+n0uunp6aWszMVJJxzHnDmzBg3XFGODHgmAv7+FRrCb0f5sMapCvZBfnu0ohJhw5GrmMPX2+ohEIrhcpQPbpOJZiJERDPQkL0w97Xi9nRQWFnLSicezZEol1s4t4N7fdsIbCLO1M0pbUCUej9Pl9WDCyJq5a5lWORUTYyMRqsTCySRzMJlsDh1i2EYsFhuoaE4kEpjNZpy5TmbOmU9FfSP23AJU3UJCy16iOZ1ILIFFqgWEEEKIYYnHE6iamtJqwyAzZMQEElYC/df1bbjdHnJznaxft4bly5aQlyefp8cKXdegrzPZQiPQAYcYXD7hKD2SeBZiBEji+TD19vSi6zqm/kffTGYLFqttiFcJIQ5HLBqmo2UbXney35vFYmHpkkWsXTyHgmAztL0+sLajN8hmbxRvJFkR3On1YDGa2TB/I1PKJ2HMcsI5GA0NGgYYjkcPujYW7U80K8lEs8Vixpmby6z586mobSQnt5CEbkbtTzRHVRgLieYPikZV8qTNsxBCCDEsiUQcTdOwHpBoNhpN0m5ATAiJeAx363Y87XvocHswAHPnzmH1qhVUVVZkOzwB6PEoBDr6k80e0BLZDikrZMCgECNDEs+Hqau7Gw64CLRLtbMQGaOqCTo7duNu3YXb7SYWizFpUiPrVi6jzhxAd7/GvkTr3q4A73Yo+DUrsWiUTq8HuyWHExadSKOrAWOWLhuSieZk24zOYC+RRPpEs67rxGMxgv3DAFVVxWKx4Mx1MnvhIspr6slxFoyLRPMHRWLH5sWqEEIIcSTi8QSqqg0MLgfp7yzGP03T6Pa0JPs4e9wowRD19bWsXrWCaVOnDPp5F6NPD/nA359sDslgPQCU3mxHIMSEJInnw6DrOm1t7eTk7K9wljYbQhw9XdfxdXfQ3rINr9eNr9dHRUU5q1cuZ06FHYP3fVDjGIBmr5/X9/oIGx3EYxqd3mbycnI5Zdkp1BfXYRjlhHNfRBlU0RxJpB+yoev6oNYZqqpisVrIzc1l7uIllFfXY3Pmj8tE8wdFYmq2QxBCCCHGjXh/xbPRuD/ZbJT+zmIcC/g6aWveQqfXTXdXN6WlJWxcv5b58+amDNEUo0PXVOjzJns1+90QP/hcmWNWIoKuxjGYLEOvFUIMm1zRHIZwOIzP78eeYx/YJolnIY5OKOinvWULnZ523B4P+Xn5bNq4nuUz6snp3godQQB2efy8tNODaisgETfR6W2m0FnIGSvPoKawetQSzoGIMpBk7lJ8RA+VaD6gdYaqJrBareTm5TN/6VJcVXXYHAXEdRPaOE80f1AkKhXPQgghxHAl4olk4tkkFc9ifIuEg8k+zu423G43dnsOq1auYOWKpRQWFmY7vGOOHgvtHwzY1wm6FIcMKRoCR0G2oxBiQpHE82Ho6e0lHB48WNBuz81iREKMX/FYBHfrDjzte3C7PRgNBhbMn8e6JfMoibZB+2voOuzy+nl2cytaTj4Y7HS2tlBaUMpH1pxFZX7FiCacdV2nL6rQecAwwJgaP+jaaDSKElQIKcmK5mSiOY8Fy5bjqqzF6sifkInmD4rGVXRdl96UQgghxDDEE8nEs+kDPZ6FGC8SiTjetp2423bjdrtRVZXp06axds1Kamqq5ZpwlOi6DqGeZPsMfweE/dkOafyJBSXxLESGSeL5MPT2+IjFYlit1v4tBmySeBbisGiaSpe7GXfrTtxuN6FQmMbGetauXMokRwS96w10TWdXZx9PvLUL3ZqL2ZpLl8dNRVEFH133McrzXCOScNZ1nUAkeEDrDN+hE82RCIqioASV5FAgm5W8/Hymz5lLaWUtVnsecc2IpifTyxM10fxBug6xuIrNKm8xQgghxFAS8Tiqqg7qeWsyyXuoGPt0XaPH20ZH63Y8bjeBQB+1NVWsWrWCmTOmY5LK/RGnq3EIePoHA7rhIPNlxDBFlWxHIMSEI1c0h6G7pwcwDNyxtdmdMhRBiMPg7/HQ3rIVr8dNT08PLpeL4zatZ0FNPibvVnQlxp7uCI+9vpWIbsbuyKenq5MaVy0f33AuLmfp0Cc5DLqu448EB5LM3UovMTV9mwhd14lEIihBhbCyP9GcX1DAjLkLKK2sxpKTLtF8bIpEJfEshBBCDEc8kUh5UkgqnsVYFwz00N68hU5vB15vJ0VFhZx84nEsXLQAh90+9AHEEdOjwf7BgB0Q7AZdy3ZIE4YeC2VpRL0QE5dkBQ6D2+3BYtn/LbM7pNpZiOEIh/roaNmK192K2+3B6XSydu1qVs2ZhKN3B3pHC83+OI+8uoVAKIYjN5eQz0dZnouTjzuJYntRRuLQdR1fpI9uxUdnsJduxUdcO0SiORxBCQYJhRR0Tcdqs5FfWMCs+QspqajGYs8jrhrQdNA4thPNHxSJqchDakIIIcTQEvEEBoNhcOJZKkXFGBWNhOjYu41O9146OtxYrRaWLl3MqpXLKS0pyXZ4E5KuaxDs7h8M2AHRYLZDmrik4lmIjJPE8zAlVBWP14vdnjOwzZYjiWchDiURj+HZ1+/N40bXdGbPnsm6ZQsoT3jRO96gPWzkkZe34u7qweHMJZ6IU5br4sxlH6LQdnSpS03X8IeDg4YBJrT02eFkojlMMKgQDilouo7NZqOgoJDZCxdTXF6NxZ5LTDWg70s0ywy9g4rE5JsjhBBCDEc8kdrWy2CQpyrF2JG8Tg7i63bjaduF2+0mFosxeVITa1avpKGhXvo4Z5ieiCUHAwY6IOCBg7T/ExkmiWchMk4Sz8Pk9/tRlBB5efuTzZaBXs9CiAPpmka3dy8de7fj8XgIBoPU1tawduUyphao0P0enQkbj7y8h+bWNsxmM2CgrrSOFTNXkm89sps6mq7hC/cd0Drj0InmcDjcX9EcQtd0cuw5FBQWMnfREorKq7HkOCXRfIQiMSn/FkIIIYYjEU+9wNAOcv0ixGhIJOKEgn5CQV//f/yoaoKenl58Ph+VlRWsXrmC2bNn9l/Hi0zQw/5kstnfAUoPx8JsmDEnpsiQdCEyTN4lhqm3p5dIJILLtb/HrNlsy2JEQoxNff4u2pu30untoLOzi+LiIk45+XgWN5Zi7t6FrzeHJ952s33bDqLRKGazmRn1M1k+fTm5FudhnUvTNHrDgYFhgN0hP+qhEs2h/kRz+AOJ5iXLKS6rxGzLJaYiieYMiMg3TwghhBiWeEISzyJ7dF0nGlYIBX0o/cnmaGRw1aeiKLg9HvLz8jlu0waWLF5Ebu7hXbeLVLqmQl9nsqrZ74ZYKNshCV2DeASs0qdciEyRxPMw9fT0ounaoMm8ZotUPAuxTzSi0N6yv99bTk4OK5YvY82C6eQpewn19fDkdj/vvPMM3V2d5NjsLJm1jKVTl+IwD++NXdU0fOEAXUovnYqPHsWHepBhGpqmHdA6I4SOjj3HTkFxMfOWraDIVTEo0awCB5krKI5APKGhajomo1QLCCGEEIcSj8eTFyMHkMSzGClqIk5I8RMK+lH6q5m1g1wEx2Ix3B1ujEYjC+fPZ/WqFZSXl41yxBOLHg/vr2ru84L8ro89MUUSz0JkkCSeh6mruxvjB+abSuJZiOTFq6d9F562XXS4PSTicaZNm8L6FYupMgeJxwO82Brm1Veexutux2Qys27xRpZMWUKO6dBPDaiaRm/Yn6xoDvbSE/IfMtG8r3VGWAmDQSfHbqe4pIQFy1ZS6KrAbHMSSyQfWpNE88iLxhI4cizZDkMIIYQY0xKJBPoHHuvWVElGiaOn6zrRiDLQNkMJ+omGDz2YTtM0IpEIfn+ASCRCY0MDq1evYMrkSdJ+4Ajoug4hXzLRHOiAkC/bIYmhRBXILR16nRBiWCTxPEzd3T0pPZ3NZkk8i2OXruv0drb193F24/f7qa6uYs3KZcyocICm8357nBdfeJbW5j0YDAbWL9rEwskLsRnT/+6omkpPKDDQo7kn5Ec7VKK5v3VGOBwCHewOO0UlpSxcPoNCVwVGq4N9M+4k0Tz6ojFVEs9CCCHEEAwGA4YPVDzrUgUpjoCqJg7ozZz8X3WIC+B4PEEopKAoISKRCGDAbs+hoCCfE47fyLy5c7DKbKPDoqsJ6POg+90QcCdbN4jxIyYDBoXIJEk8D1NfMIjFsj+BYjCaMB7QdkOIY4nS10t78xa8ng68Xi+FBQWceMJxLJnRgM0Ee7sVXnjuP+zasQ0trrJ24QYWNM7HahychIwnEnQFe+mNBOgK+egN+dH09EM0konmEMGgQiSU7H9mdzgodpXSOHUmBSVlgxLNiYH/EtmiqjIQRQghhBiK2WyGD1Y8S+JZDEM0oiT7MvclhwBGhqhm3jdcOxQKoSghNE3DaDTidDqpqqqgvq6OsjIXZWUuSkpKMMvn3WHTowr4O9ADbujrTPYKFuOSHgshtf1CZI4knochoapEwpFBE3ul2lkci2LRMB17t+PtaMbt9mA2m1m8eCFrli2mpMBJTzDM0888x3tvv0ksHGH1/DXMrZ+LxZD83VE1lfYeL3s72wgkQoSJH/RcmqYRUhSUoEIkEgaSieZSl4vGaTPILy7HaLVLonkMUzW54BZCCCGGcuBnjH0k8Sw+SFUThJVAf1/mZEWzmjj4tTQk27goSgglpBCNRAHIsdnIzc1l0qRJVFdVUlbmwuUqJdfplFYah0HXdVC6ky00/G6IBLIdksiUIX6vhBCHRxLPwxAJR4gnEths+/vRSn9ncSzRVBVvx27cbTtxu91EIzGamhpYu3oljY0NRMNhXnz1FV576XkiwRAr56xiVu0sTEYTMZPKNk8z72x/n7bODopLS3Dm5qae44BEczgSxoABh8NBWUUFDVNnkFfswmiRRPN4ompS8SyEEEIMxWw2AdLjWQwWjYQGEsxK0Eck1HfI9bquE4lEkolmRUFVVUwmEw6Hg4rycurraqkoL++vZi5Oe8NDHJqeiEHA09+v2QNqLNshiZGgyYdMITJJ3m2GIRKJkEgkcDodA9sk8SyOFb7uDtpbtuH1uOnt7aW8vJxVJy5n7pxZGA0GNr/7Ni8/9zRBf4AFUxYxqXYyua4iekIBXnnzBXbu3ImaUCl1lVLbUD9wXFVVCSkhlGAwWYFhAIfTQXlVJfVTppNfXIbBnCOJ5nFMWm0IIYQQQzObLSRHH++nyVNDxxRNVQkp/kFDANXEoZOaiURioGVGsjcz2Gw2cnOdNDXNorqqKtk2w1VKbm6uVDMfIT0SAL87mWwOdvPB31UxAalS8SxEJknieRjC/YlnabUhjiUhxU9781Y6PW14PF7y8nLZsH4ty5YtIdfppLWlmRefeQp3Rxt5uXls3HQK9dOm0N7WwdPPPMKeXXvQdZ1SVyl2hwNVVekLBPpbZ0QwGAw4nU4qqqtpmDqdvCIXBrOdWCJ5MRcHSTSPc1LxLIQQQgwtWfE8mK5r6LouycIJKhYNJ1tm9PdmDoeCHCqhmaxmjqKEFEJKiEQiMdCbubzMRV1dLRUV5bhcpZSWlAyaTSQOj65r0NfZPxiwA6IyaO6YIxXPQmSUJJ6HIZIu8SwVz2KCiseiuFuTfZw7OtwYDAbmz5vDqlUrqKyooLenm0effpzm3TuxWm2s3XQCk6fOoGVPC/fedS8te5oxGKC4pISEquLz+fC6PRiMBhxOJ5W1tTRMmU5uYWl/RfOBiWZJVE4k0uNZCCGEGNrBWh5omorJJB/XxjtNUw/ozZysaE7Eh6hm3vdkYEghHI6ADjabldxcJ7NmzqCmumqgN3NeXp7coDhKejwKgY7+ZLNHEo/HOlX+/QuRSXIlMwyRcPLRJaPROLBNEs9iotE0jS5PM+7WHXjcHkKhEPX1taxZtYopUyZhNBrx+3q5/547MJnMrFiznsZJU9izq5m7b7uLvc3NKEEFuyPZkqbT24kz10lNXQP1U6biLCgFcw5xSTQfM6TVhhBCCDE0s9mMruspFc6aKonn8SgWDQ+0y0hWM/eBfuhq5mg0iqIoKP3VzMnezHbKSksPqGZ24SqVauZM0UM+8Pcnm0M92Q5HjCXSakOIjJIrmWEI9/fMOpC02hATib/Xm2yr4e2gq7ubslIXmzasY978udis+3/W8wsKWbVuI2XlVezauZM7/3EHe1v2Eg6FcDidlJWXU1FdTe2kqTgLS8FoI65KovlYJa02hBBCiKGZzWaMRiOapmEy7W+7oWkyYHCsS1Yz9w0aApiIRw/5GlVVUZQQoVCIcDiMruvJ3sxOJzNmTKO2phqXy0WZy0V+vlQzZ4quqdDnTfZq9rshHs52SGKskop3ITJKEs/DEIlEUjpuScWzmAgioSDtLVvo9LTh7nBjdzhYu2Y1y5ctobCgIGW9wWCgoLCEu26/E3+PD03XmDpzBrVNU3EWlKAfmGjWAal4PaZpkngWQgghhmQ2m/oTzzoH5J0l8TwGxWKRZJK5L5loDocC6MOpZg6Fkr2Z44lk+zmHg5KSYurr66goK6OszEVpaQlWq3zGzCQ9Fto/GLCvE3T5nRLDo6sJDPLEiRAZIb9JwxAKhfjgfebk9GkhxqdEIo6nbQeetj243W40TWPWrJmsWrWC2prqQ77W5nAydc4iHHlF6EbrQKI5Jolm8QHS41kIIYQYmsVs6U88qxz48SxZOZuXtbiOdZqmEQ4FBvoyh4I+4rGhq5lDoTCKohxQzWzF6XQybeoUamtrcLlKKStzUZCfL9XMGabrOoR6ku0z/B0Q9mc7JDFeaXGQxLMQGSG/ScPQ19eXMvTDaEqdPi3EWKfrGt3eVjpatuPxugkG+qitq2HVyhXMmD5t0OOd+0RjCfqUOH2hGH2hGLG4hjm3TBLNYkjS41kIIYQYmumAiucDxaLSCmA0xWORgXYZoaCfsBJA1w9+Ez1ZzRwjFAqhKArxRBwDBpxOB8XFRdTXz6OivIwyl4tSV+mg9nUic3Q1DgFP/2BANyQOfXNAiGFREyC1hkJkhCSeh6EvGEwzbVruTovxpc/fTXvLVjo9HXR2dlJcVMTJJ5/IwgXzsdtzBtZFYgn6lBh9oThBJUYsIVWr4shIj2chhBBiaAf2eD6QJJ5Hjq5phEODezPHY6lzfQ6kqiqhcJhQf39mXdexWq04nQ6mTp1MTXU1ZWXJ3syFhQVSzTyC9GiwfzBgBwS7Djm8UYgjokqfZyEyRRLPQ9B1nWBQSZN4FmJ8iEZCdLRsxetuxe12Y7NaWb58KStXLKOkuJhINEFnb2igqjkuiWaRQaqmYTIasx2GEEIIMWZZDpZ4jkjiOVPi8WiyZUafDyXoG1Y1cywWGxgCGIvFMBqNOOx2CgsKmDd3NhUV5ZSVuXCVlmKz2Ubxqzn26LoGwe7+wYAdEA1mOyQx0WnxbEcgxIQh2dQhxOJxYrFYSuJZ7mCLsU5VE3jbd+Fu2427o4N4PM6UyZNYsXIV+YWl+EIxWrs6JdEsRpSq6pgk7yyEEEIclNliwWQyon5gmGAsJonnI6FrGuFwcKAvcyjoH7J6XNO0/pYZIcKhENq+amaHg8mTmqitraHM5cLlKqWwsACj3FQfcXoiCn4PeqADAh5QJREoRpEMdxUiYyTxPIRYNIqqquTkSIMfMT7ouk5vVzsde7fh8bjRNCMzZi+kcdJUTBY7voiOz92X7TDFMULabQghhBCHZs/JIScnByUUGrQ9Fgkd5BXiQIl4jFDQh7JvCKASQD9E0kjXdWLxOCFFQVGS1cwGgwGHw05BQQFzZs+isrKCMlcpLlcpOTk5Bz2WyCw97Ae/O1nZrPQAch0pskQKDYXIGEk8D0HT9OR03JQ/PPKHSIw9StBHj7eVeCJBYWkdU2atwGpLXizrQEKGvYlRJn8phRBCiEMzGAwUFxfR6/MP2q6qCdREHJNZCmD20XWNSCh4wBBA3zCrmcOEQsm2GZqmYbFYcDodNDU2UFdXi8tVSlmZi6LCQqlmHmW6mkBvfzfZQiMmN1vEGGGQvwNCZIoknoego4OemjyRG2BirNE0DZvNQW3T7GyHIsQAg1H+WAohhBBDKSkpYcuWbSnbY9Ew9mM48ZxIxA7ozewnrPjRhngEfl9vZiUUIhaNYjAYsNvtFBTkM2vWDKoqKnC5SnG5XIMGbIvsMJjM6ImYJJ3F2GIwZTsCISYMSTwPRdf7H/CR5IkY24xGI0ajNdthCDGIUe7SCSGEEEMqyM9Puz0WDWN3pt830ei6TmSgN3OybUZ0iHYjmqYRDocHhgDquobZnKxmbqivo762BleZi7IyF8VFRVLNPEbFXNMx+jow64lshyJEkvytECJjJPE8BF0H0FMqnHVdWhYIIcRQjFLxLIQQQgwpN9eJridb/B04xHyoNhLjWSIRH0gw70s2D6eaed8QwGg0hsEAdrudvLxcZs6YTmVlOWVlLlwuFw67fZS+EnG4dF3H19NNW2sLLbt3sWfXDkpsOh9dMTXboQmRJK02hMgYSTwPIXkBmH67EEKIQ5O8sxBCCDG0vLw8zGYziYSKxbL/I9pESTzruk40rPQPAUwmmaMR5ZCvSVYzR1BCCqFQGE1VMZvNOJ1O6upqqKutpbysLNmbuagQk0kejR/r4vE4b7zyIju3b8Hb0YGiBDEajeTm5ROxFLCjK8LkUml/IsYASTwLkTGSeB6CPjBJd3D2RNe10Q9GCCHGEaOBQVVbQgghhEgvLy8Xq9VKLBadEIlnNREnpPgPGALoR1MP3UYhHo8nezMrCtFYDANgt+eQl5fHjOnTqKyooKzMRZmrFIfDMTpfiMgor7udZ554lGg0QklpGSWuskHtT97oUCjPs5Bnk5sIIssk8SxExkjieQjJyuY0rTY0STwLIcShyGBBIYQQYnhyc3OxWa3EYjGcTufA9lh07A9c03WdaEQZaJuhBP1Ew8FDvkbTNCKRyEBvZnVfNbPDQW1tDXW1NZSXl+FylVJSXCzVzBNERVUN02bO5q3XX8GZm5vSc1vV4KW9QTZOypc5ISK7jPI3R4hMkcTzsKS+6UmrDSGEODT5wCCEEEIMj81qJS8vl67unkHbY9FwSt/nbFPVxAG9mZP/qw5ZzZxItsxQQkSjUQBycnLIy8tl6pTJVFdV4nKVUlbmGpR4FxOLyWRizcbj6WhrxdPRRmV1bcqaLiXB1s4IM8qkR7fIIql4FiJjJPE8BJPRhMGQmmiWVhtCCHFoMlhQCCGEGL7ikmLaO9yDtum6TjwWwWrLXhIuGlFQ+vYnmSNDVDPruk44HE6pZnY4HFRVVVJfX0d5mStZzVxSglmqmY8pBYVFrNlwHPfdfRvBvj5y8/JS1rzjDlGZZ6HQLukKkSWSeBYiY+Qv+RCMRiMGgwEtJfEsFc9CCHEokngWQgghhq+kuJhEmsrhsBIYtcSzqiYIK4H+vszJZLOaiB/yNYlEAkVRUEIhouEIGAzk2Gzk5eUxZfIkqqsrcblclLlcOJ2OMVW9LbJj2qw57Nm9k9deeh67w5HSSkXT4cW9QY6fXIBJridFNhgl8SxEpkjieQhGkxGDwYiuDU40a5qapYiEEGJ8kFYbQgghxPDl5eViSNPiL6QEKCguH5FzRiOhgQSzEvQRCfUdcr2u64QjEUL9QwBVVcVkMuF0OqisqKC+rpbysjLKylyUlBRjNsvHzYlAiyRQgzFMeVaMtqP/d2owGFi9fhMdrS2421uprq1PWeMLq7zvCTOnUgZJitFnkIpnITJGrgSGYDKZMBgMKRXOiVg0SxEJIcT4IBXPQgghxPDl5eah6zqapg0auhZW/Bk5vqaqhBT/oCGAaiJ2yNckEglCoRCKEiIcCYPe35s5N5dJTY1UV1cN9GbOdTqlmnkC0FUNTYmjKjG0YAw1GINEss2kMddKzvTSjPx7zs3LZ82mE7n39n8Q8PvILyhMWfO+N0xVvoUSp+WozyfEsMlgQSEyShLPQzD1t9r4YOI5HpfEsxBCHIrknYUQQojhy811YrVaicfj2Gy2ge0hJXBEAwaT1cz7hgD6CIeCwMHbBeq6TiQSQelPNKsJFaPRgNPppLzMlezNXF5GmctFaWmJVDNPEFokgaYkE8xaMIYWjh/0x0QLxoi7g1grU/syH4lJU6axYMkyXnjmKRzO3JSfKZ1ky40TpxZilgtLMVosOdmOQIgJRa4WhmA0GjGmSzxLxbMQQhySVDwLIYQQw1dQUEBOTg7hSGRQ4llTE8SiIWw5zoO+VtPUA3ozJ5PNifgQ1cyqOtAyIxyJ9FczW8nNzaVx1kxqqiop6x8CmJeXJ9XME4Cu6YOTzMEYen8183DF2wKYC3IwOo6+CtlgMLB8zXraWpppb9tLTV1Dys9ZX1Tj7Y4QC6sP/vMvREZZsjfMVYiJSBLPQ9g3XFDVB78hS8WzEEIcmiSehRBCiOFzOh0UFxfh8XgpLCgYtC8UDAxKPMei4YF2Gclq5j44xPBzXdeJRqPJIYBKiEQigdFoxOl0UuYqpa6uloqKcsrKXJSWlGCxSGuDiUCLJgbaZQxVzTxsOkR395Izw4UhA9d6DoeTtcedyN23/g2/r5fCouKUNdu6IlTnWynPk59LMQok8SxERknieQhGoxGr1UowpAzanohFshSREEKMDyaZBi2EEEIMm8FgoLammj3NLSn7Ar1eEvHoQEVzYogimIFq5pBCJBxB13VsNhu5TiezZk6nurqKMpcLl8tFfr5UM08E+6qZtWBsoD+zHj+8aubh0kJx4u19WGvyM3K8+sZJLF6+imcefwRnbi4WizVlzUt7g5w0rQCrSa4vxQiTVhtCZJQknodgMBjIz8/D5x881EMqnoUQ4tCsZvlgIIQQQhyO8rIyDLqe0tPZ3+vB3+tJ+5r91cwhQqEQ8Xgco9GIw+GgtKSE+vo6KsrLKXOVUlpagtWamtQT448W/UBv5lAGqpkPQ7yjD1NhDqbczPw8LV25htbmPezZtYO6hqaUmyGhuMYbbSGW1eVm5HxCHIzBKhXPQmSSJJ6HoaCwgPiu3YO2JeIxdE3DIBV9QgiRltUiE6GFEEKIw1FSWoLFaiUWiw3q83wgVVUJ9Q8ADIfDoOtYbVacTifTp02hpqYGl6uUsjIXBfn5Us08AeiajhaKD2qbocfVbIdFdHcv9lllGWm5YbPlsO64E+n8u5ve7i6KS10pa3b3RqkpsFJdIDdPxAiSVhtCZJQknoehID8fVUt9Y48nYlit8hiGEEKkY7XIjTkhhBDicLhKS3A47IRCYWw2W381cwwlpBBSDqxmtlNcXER9/Twqy8txuUopdZVik2rmCUGLqYN7M4dio1rNPFx6JEFsrx9bfWFGjldVU8ey1et4/KF/48zLw2ZL/az9cmuQk52F5MiTdWKkSOJZiIySxPMwOOx2DKTexU3EopJ4FkKIg5CKZyGEEOLw5OTkUFZWxubNW/D7fGi6jtWarGaeOnUytf3VzOVlLgoKCqSaeQIYVM28rzdzLPvVzMOV8CqYi+yY8tNX6B+uhUuW07J7F9u3vk9946SUn/FoQufVVoXVDXkZOZ8QKaTHsxAZJYnnYbA70t/xkj7PQgiRngGwSCWKEEIIcdjmzJ5JKBSirraWiooyyspcuEpLD9p6Q4wvWjxZzTxQ0ayMzWrmwxHd3Yt9dhmGDAz+s1itrDvuRDzudro6vbjKylPWtPpj7OmN0lAkvxNiBEiPZyEyShLPw+BwODAYDKiqism0v4IvHpPEsxBCpGOxGKUKSwghhDgCC+bPY/68ufI+OgHoeprezOOomnm49JhKrMWPrbEoI8crq6hk5bqNPHzfPUTC+eTYUxOBr7UqlDnNOKzyhJ3IILMNg0GKZ4TIJEk8D4PDYcdisRCPJwYlnhOxSBajEkKIsUvabAghhBBHTpLO45MeVwcSzKoSQ1PioI3zcuZhSnSFMBXmYC7KTLXovAWLad61k83vvEVdYxNG4+BkYFzTeblVYX1TfkbOJwQg/Z2FGAGSeB4Gh92BxWImnoiTw/7HeaTVhhBCpGeTxLMQQgghJrCBamblgGrm6MSrZj4csT0+TLlWDBm4DjSZzazddAKejjY6PW7KK6tS1rj74mzvijClVHryigyR/s5CZJwknochWfFsJRGPD9ouiWchhEgvxyZvL0IIIYSYOPTEAdXMwWOrmnm49IRGtNlHzuSSjByvpNTFqvWbeOCfdxFSFBxOZ8qaNzsUKvIs5NnGX9FDKBzlkRff4t/PvMpzb26huaMTk9HI5NoKPrJxOV/75GnkHmTe1I3/epI/3fkw7+9qxWoxs2zOFL530VmsnDf9sONQVZXf3voAf7n3SXa0usm157B+8Sx+8NmPMaOxJmV9t6+Pr/zyev79zGsYMHD6usVcdelnKC5IHfi4u83D7I9+ja+ceyqXf+m8w45t1Fkd2Y5AiAnHoOu6vFsOwx//dB2+gJ/ysrKBbTZ7LtPmrMxiVEIIMTZNqimgKF8qBoQQQggx/ui6jh5O9Ceao6hSzXxYbI1FmEszk8BTVZUH772Lt15/hfrGSSktNwBKHWY2Ts7HOM5a1Fx3z2Nc8pM/ATCjsYZZk2oJKGFeeHsrfUqY6Q3VPPnnH1FWXDDodV+74i9cfcv92G1Wjl8+j0gszhMvv4OOzu0/v5QzNywddgyapvHRb13BP598mcI8JxuXzqHbF+A/r2/GbrPy+DU/YOnsKYNec9IXfsyjL77F2oUz0XWdZ97YzAkr5vPg7/435fhnfv1nvLFlN+/f9Ruc9rH/2cBQuwCDqynbYQgxoUhJ2jDlF+TR2d09aFssoqBpWto3PyGEOJbZZNCLEEIIIcYJPaEN7s0cjEk181GItvgw5tswZuB60GQysWbj8XS0teJub6OqpjZlTVcowdbOCDPKxld/XovZzH995Hi+8olTB1UWd3T2cvpXLueNrbv52hV/4e+Xf3Vg32Mvvc3Vt9xPSUEez914OVPqKgF44e2tbPzvy7joh79n/eJZFOalVoenc8O9T/DPJ19mSl0lT1/3Y8pLCgG46/EXOedbV/Cp//0N7935G8zm5L/LV97bwaMvvsUlZ53AH7773wD894//yPX/fJxX39/B4pmTB4790PNvcN/Tr3LLT78+LpLOADgKhl4jhDgskjEdpsKCgpRWG7quEw0HsxSREEKMXTlWua8phBBCiLFnX2/meKdCdHcvoXc8hN7oILq9m3hHH1ogKknno6XqxHb3ZuxwBYVFrNlwHLquEewLpF3zjjuEL5zI2DlHw6dPX8+fvndJSjuLSlcRv/3OxQDc8+RLxA7IQ1z59/sA+N7FZw0knQFWzJ3GJWedgK9P4YZ/Pj7sGK76+78B+NmXPzWQdAY4a9NyTl+3mB173dz79CsD29/cuhuA809fP7DtMx/a2L9vz8C2WDzOV395AxuXzOacE8bRU+J2STwLkWmSeB6mvLw8tDRdScKh9G98QghxrLJajBiN4+tRRyGEEEJMTHpCI+GPEGsLEN7aReiNDsLveYnt8ZHoCqFHxleycrxQA1Hi3swVaU2bNYe5C5fQ6fWgqqltTzQdXmwJok6QmwbzpjQAEI3F6fYlv4/hSJQnX3kXgLM2rUh5zVnHLQfg38+8Oqxz7G7zsHl3K3ablVNXL0w9Xv85/v2f/cfz9SkAFB1QUV2UlztoH8Cv/3Yfu9u8/OZbFw0rljHBlovBKMUzQmSa/FYNk8NhJ10aJaz0gWvUwzlsu3du4/prruLVl54l4PdR6ipj9brj+e8vXEph0eDhD/fdcys/+t+vHvRYx5/8IS6/4pphn/va3/+SP//hVwfdf/5FX+RLXx/cDyoajXDVL37Aow/9i2g0zJJla/jm9/6PyqrUR6uCfQHOOnUVi5eu4v+u+NOw4xJCjAypdhZCCCFENui6jh5JDBoCKInl7IntDWDKz8GYc/TXhgaDgVXrNtHeuhd3WyvVdfUpa3wRlfc8YeZWjv8BcbvaPECyHUdxQTKxu7W5nWgsjqson5ry1AGOC6cnexO/vb1lWOd4a1szALMn12GxpP472ne8d7Y3D2yrrSgFYFtLB9Maqvvjahu0b6+7i8tvuJsvffwUZjalfn4fs+yF2Y5AiAlJsgPD5HAk37w+2NM5pIz9iudXXnyWr3/xU0TCYRqapjB3/hJ27tjCHbf8haeffJgb/v5vyiuqUl43Zdospk6flbJ99tzUu6HDMW/BUmrqGlK2z5g1N2Xbr376fe65429MnzmXwqISnn36UVr37uGWe57EZBrcK+xPv/sFkXCIr3zzsiOKSwiRWTnS31kIIYQQo0BXtYEEs6Yk/xd1YlS8TgiaTnR3LznTSzFkYPBfbl4eazYez723/4OA30d+QWHKms3eMFX5FkqdlqM+XzZdfcv9AJy4cj42a/JraXF3AVBTlpp0BnDacyjMc9IbCNKnhMlzHrrn9V53JwDVZcVp99f0b2/uXwewftEs7DYrP772duZOqUfXdX587R04cmysX5TMHVx65U3kO+1cdsk5w/1yxwSD9HcWYkRI4nmYiouKsNlsRKNR7Pb9f8AjoT50TcMwRgcMRsIh/vdbnyMSDnPx577OJV/8FpCsBrj6Vz/i5r/8kZ98/+v89s+3prx2/aaT+O8vfDNjsXzorE9w+oc/PuS6rk4P/7rnFlat3cSVf7gZg8HADddcxR+v/hlPPfYAm048fWDtjm2bufPWG/n8l79DWXnlIY4qhBgtDvv4vtAXQgghxNgzUM2sHFDNPM56+h6LtGCMuDuItTIvI8ebNGUaC5Ys44VnnsLhzMVsHpzS0IGX9gY5cWoh5nHa+u2BZ1/nhnufwGI286PP7f/8HAxFAHDk2A76Wqfdhq9PoS80dOI5GD708fYNBOxTIgPbKkqL+N7FZ/G/v7+FptM+N7D9Z1/+JOUlhTzx8jvc+dgL3PTjLw86fygcxWE/eNxjgvR3FmJEjM1s6RhUUlKM0+EgFAoP2q7rGpGIcpBXZd8Tjz1AT3cn9Y2T+a/PXzqw3WAw8IWvfJeq6lpefP4ptm15L4tRDrZz+xbURIJTTv/owJ3xMz5yLkBKnL+8/LvU1DbwifMvGfU4hRDp5Tok8SyEEEKIo6OrGmogQqw9QGRbf2/md73EdvtIdIYk6TyOxNsCaKH40AuHwWAwsGLNBuoamuho3YueZg5TX1TjrY5QRs432rbsbuP871+Nruv84iufYt7UhmyHlOJ/LjyL+3/7Pb7wsZP54sdO5qHff59vfvpMEgmVr/zyetYsmMEnT1kLwNX/uJ/K4y8ib/V5VB5/Eb+79YEsR38I0mpDiBEhFc/DZLFYKC8vY8fOXSn7wkoAuyMzd3Azbct7bwOwYNHyQS1CAMwWC3MXLKW9bS9PP/FQ2rYa2RAI+ADIy99/x3Hf/9+3D+Dh++/h9Vde4Hd/vg2zRRJdQowFZpNRejwLIYQQ4rBpB/Rm1oIxtHBmEpViDNAhuquXnJkuDBmoQrY7HKzddAJ33/o3/L5eCotSW0Vs74pQk2+lPG/8fE5s83Zzypd+Qm8gyNfOO50vf+LUQftzHckK5FAketBjKOHkvjzHoaudAXLthz6e0l8RnefMSdl30soFnLRywaBtV99yP1ub23n1778A4O4nXuRrv/oL552ylrOPW8Fdj7/AV355A3WVLs5Yt2TI+EaVyYrBOvT3TAhx+CQ7cBiqq6vYvGVryvZwKABUj35AwxAOJ+/05uenf2ykoLAIgO1b30/Zt/m9t/nNFT9ECQYpKXWxeNlqFi1ZecSxvPrys2zb8h6xWJSy8kpWrtnIjFnzUtZVVNYA0NK8kxWrNwDQvHtn/77k9zmkKPzmih+y4bhTWbZy3RHHJITILKl2FkIIIcRQdFVDU+KDezMntGyHJUaQFo4Tbw9grclMO4P6xkksWb6a/zz+ME5nLharNWXNS3uDnDStAKtp7D/o3ePv46Qv/Jjmjk4uOGMDv/za+Slr6vqH97V6u9MeQwlH8PUpFOXnDtlmA6C2wgVAm7cn7f7W/u31/esOxd3Vy4/+fAefO/tE5k5pAODXf/sXTdXl3PjDL2I0GjltzSKee3MLV9x079hLPEt/ZyFGjCSeD0NJSfJOqq7rg4YjhMfwgMGi4uTggY6O1rT721uTE2/dHXtT9j379KM8+/SjA/983R9/zcIlK7j8imspKR36zeeDHvjXnYP++U+//Tkbjz+Vy/7vahxO58D2qdNnUeoq5x9/vZZFS1dRVFTKb3/9EwwGAyvXbOqP5Vf09fn5+rd/eNhxCCFGTq70dxZCCCHEB2iRRLIvc39/5ky1XRDjS7wjiKnQjik3NUl8JJasXM3e5t3s2bWTuobGlAGGobjGG20hltXlZuR8IyUYCnPql/6P93e18uGNy7j2fz+bdhjjtPoqbFYLnb0B2rzdVH9gyODrW5JPZ8+dUjes886bWg/AuztaiMcTWCyD00P7jjdnSv2Qx/rWb/6G3Wblhwf0pN6yp51NS+cMPHltNBpZNGMSj7/8zrDiG1XSZkOIETP2b/2NISUlxdhsViIfeBQlHOpD18fmHfoFi5YD8NzTj+HrHXxn1Ovp4OUX/gOAouzvU13qKue/v3ApN9/5GE++tJ2Hnn6HX/3urzQ0TeH1V17ga5//JKqqDjuGmrpGvvLNy7jt3qf5zys7+ffjr/Pjn/+BsvJKnnj0fi77ny8OWm+z5fDlS/8fHW17OffMDZy0bg4vPvckHznnfKZMm8me3Tu45W9/5oKLv0xFVc3A6yKRcNoeX0KI0SMVz0IIIcSxTdd01L4osY4+Itu7Ud7oIPyOh+juXhJeRZLOx7jo7l50NTOfnW22HNYddyJOp5Oe7q60a3b3Rmn1xzJyvpEQjcX58Nd/zsvv7eCEFfP5x+VfxWQypV1rz7GxYclsAO587IWU/Xc99iIAp61ZPKxzN1aXM6OxhnA0xv3Pvp56vMeT5zht7aGP9+wbm/n7A//h8i+dR2Gec9C+D7bxUMJRjGmS6tlmkMGCQowYSTwfhpLiYux2B6Hw4EEFuqYRDY/N4QXLV61n+sy5hEIKX77kE7z39uuEFIW333yVr3z2EyTU5FCOA/s/r1i9gf/6/KVMmzGb3Nw8SkpdrN1wAjfd+hB1DZPY/N5bPPbQv4Ydwymnn80nL/gcTZOnYXc4Ka+o4qTTPsJNtz1EQWExTz3+IO+89dqg15x82llcd/N9fOL8SzjrY5/mZ7/+M9/+/s8AuOLy71FRWc2nLvw8AI888E/OOH4xaxY1snHFNP74m5+haWPzRoAQE5nBAA6peBZCCCGOKVo0QaI7RLTZR/g9L6HX24ls6SLeGkD1RaSFhhhEjySItWbuieGqmjqWr15HsC9ANBpJu+aV1iCR+Nj7OVRVlU9890qeeOVd1iyYwV2//CbWIWYXfe280wH4v+vuYntLx8D2F97eyrV3P0phnpMLz9w06DUvv7udmR/5Msd/9gcpx/vqeacB8J2r/4a3xz+w/e4nXuS+p19lcm0FHzpEWwxVVfnyL65n+ZypXHD6hkH7ZjXV8PRr79PW3xqkzdvNf15/n1mTag/5NWaFM7VPuBAiM6TVxmGwWq1UlJexc9du+MDfpXAoQI5j7D3CYzAY+MVvruern/skm997iwvOPWVgX3GJi//+/KX88eqfDRrkdzAOp5OPnXcRv/y/7/LCc09y4qkfPqrYSl3lnP7hj3HzX/7IC88+wZx5iwbtnzt/MXPnD767+sQj/+al55/myj/8DavVxub33uJ/v/U5lq9azzf+5ye8/soL3HDtVRSVlPLxT158VPEJIQ6PM8cyJisYhBBCCJEZuqaj9bfL2NefWR+DCT0xtiW8CuaiHEz5qUPrjsSCpSto3r2L7Vvfp75xUkqbimhC59U2hdUNeRk5X6b8/raH+OeTLwNQUpjHF37257TrfvnV8yktygfguGVz+fK5p3L1Lfez8NxLOW7ZXGKJBI+9+DY6Otdf9oW0Vcdbm9uJxFKfNrjwQxt58LnX+eeTLzPzrK+wcclsun19PP36+9htVv764y9jNqevwAb4052P8M6OFl78609Tvu/fuuDDnPHVn7Lkk99m5bxpPP/WVpRwhG9/5ujyCBlnsWPIGVs/G0JMJJJ4PkxVVZVs3rotZXtICVBUWpWFiIZWWVXL3+96nKcef4C333iVaDRC0+SpnHTqWTz52AMANE2aNqxj1dU3AdDd6c1IbLV1yeN1DeN4kUiYq375A9asP4HV644H4O83/gmHw8lPf/1nnM5c1m08iS2b3+ZvN/xeEs9CjDJpsyGEEEJMLFo0TW9m6WwnMiC624d9VhkG89E/hG2xWFh33Il43R10eT24yitS1rT6Y+zpidJQbDvq82VKb19w4P/vS0Cnc9kl5wwkngGuvPQzzJvawB9uf5DHXnobq8XMpmVz+N+Lz2blvOmHFYPRaOT2n3+Dq295gL/86wnuf/Z1nDk2PrJxGT/47MeY2XTw6uSu3gCX/ek2Lv7wJhbNmJSy/9Q1i/jz//scv7jxn/z7P69RX1nK5V/8AietXHBYMY64/LJsRyDEhCaJ58NUWloCuj6uBgwCmM1mjjvxDI478YxB299+8xUAFi1dOazjBAI+AHIcjozE1dd/PLt96OP95dqr6enu4uvf+fHAtj27d1DfOBmnc3+1+azZC3j9lRcIBvvIzZU7l0KMllxHZgbFCCGEEGL06ZqOFjqgmjko1cxi5OgxlViLH1tTUUaOV1ZRyYp1G3jkvn8SDofSfr58rU2hLNeMw3rwCt7RdNklH+OySz52RK+94IwNXHDGhqEXAusXz0Z97c6D7jeZTHztk6fztU+eflgxlBbl0/XkjYdcc+GHNnHhhzYdck22GfLKsx2CEBOaJJ4PU0lJCTabjWg0Sk7O/keDwkoATVUxHmQQwFjU1enliUf+TUFhMRuOO2XoFwBPPno/ANNnzDnq8+u6zlOPPwjAtJmHPl5ryx5u/ssfOP+iL1BTO3iqbiQSHvTP4f5+2+kmAQshRk6u9HcWQgghxg0tph6QZI5KNbMYdYnuEKaiHMxF9owcb96CxbTs3sl7b79JfeOkQXOMAOKazkt7FdY35clnRbFfnivbEQgxoclwwcNUUlKMw2EnFBqc7NR1jWCgO0tRHdqO7ZtTBi143O1c+qVPoyhBvvrNy8jJ2f9m/5c/X42vd/DXkojH+fMfruCxh+/DlmPn9A9/fNB+r6eDs09bzdmnrR60vbeni9v/cQOKEhy0PaQo/OxH3+bdt1+npLSMjUMkvn/1s/+l1FXGpy/+0qDtTZOnsXvnNrZufgcARQnyzFOPUlFZPagKWggxsnKsJswZeFRSCCGEEJmnazpqMEbcHSSyo4fQW27Cb7mJ7uwh4QmiKZJ0FtkR3eNDj6sZOZbJbGbtphMpKXXh9XSkXeMJxtnRHc3I+cQEYC/AYMlMr3EhRHpS8XyYbFYrZWVl7N7TTDGDHwsK+DrJLxp7/YFu/ssfeerxB5k+Yw6lrnJ6erp46/WXicWiXPTZr3HamYMf7/nDVZdz3R9+xYxZ8yivqEJR+ti25T06vW5sthx+9LPfUVZeOeg1iUSc5t07Us4dDof45f99l99f+X/MnD2fElc5vt5utrz/Dn5fD3n5Bfz8yuvIOUSrjWeeeoRnn36MX179l0EJcoBPfebzPHz/3Xz2M2exeNlqtm1+B4+7jf+57BdH8R0TQhwu6e8shBBCjB37qpk1Zf8QQEksizEpoRHd4yNnSklGDldcUsqq9Zt44J93EVIUHE5nypo32xUq8izk2cbP08pihOSNvfyNEBONJJ6PQHVVJdu2bU/ZHvB1ZSGaoa3fdDLdXZ1s3/oeb73xCvkFBaxYvYFzP/VfLFq6KmX9xZ/7Ou+89RrNu3ewZfM7oOuUlVfykXPO59zz/5uGxsnDPndBYTHnX/RF3n37NVqad/H2m69iNBmpqq7jtDPP4RPnX5KSxD5QLBbl1z/7fyxftYH1m05O2T9l2kx+efWN/Onqn/HsU49SUlrGF7/2PT5yzvnDjlEIcfSkv7MQQgiRHbquo4Xig3szxzJTQSrEaFB9EeJdISylmZkjNGvuApp37+Tt116hLk3LDVWHF1uCbJqcj1FabhzTDDJYUIgRZ9B1Xe59H6Z33nmP2++8m/r6upQ3sSmzlmN35h/klUIIMTHNnlRCjk3uZQohhBAjTY+rAwlmNRhL9mbW5COdGOdMBuyzyzFmaPCf3+fj9r/dgN/XS1VNbdo1cysdzCzLTH9pMQ4ZjBjmnYHBKJXvQowkach5BCqrKnA47ChKKGVfwNeZhYiEECJ7bBaTJJ2FEEKIEaSGYkR29hB6203oTTfRHT3E3UG0YEySzmJiUHWiu3vJVF1cQWEhazYen5zF1BdIu+Zdd4jecCIj5xPjkLNEks5CjAJJPB+BkuJiysvLCQRS38Ak8SyEONYU5duyHYIQQggxsak6ak8YPSotNMTEpQWiJLxKxo43beZs5i1aSqfHg5pITTBrOrzUEkSVmzfHJGmzIcTokMTzETAYDEybOoVINHUablgJEI/JlFwhxLGjKF8mQQshhBAjyei0grSiFceAWGsALZKZKmSDwcDKtRupqq3D3d6Wdo0vovKeJ5yR84lxJq882xEIcUyQxPMRqq2pxma1EomkJpn7/FL1LIQ4NlgtJpx2S7bDEEIIISYkJajQvHsPr73yKr5IX7bDEWLkaTrRXZlruZGbl8fajSdgNJkI+H1p12z2hulS4hk5nxgnTFZwFGY7CiGOCdKU8whVVVVSVFRIIBAgJ8c1aF+gt5NiV02WIhNCiNEjbTaEEEKIzOrp7uHdt95hb3ML3V1dKIqCmlBZPXMJS6bMy3Z4Qow4TYkRdwexVuZl5HhNU6aycOlynn/6CRwOJ2bL4KIJnWTLjROnFmI2yaMFx4TCSgwG+XctxGiQiucjZDabmTJlMoqS2oOqL9CDpkn/NSHExFcsbTaEEEKIjNry3vs89tAjtLe1YTKZqaispKGpkZhZy3ZoQoyaeFsALZSZKmSDwcDy1eupb5xER1tr2mrqvpjGWx2hjJxPjH2GIikUFGK0SOL5KDTU12EwGEiog5PMuqaiBHqzFJUQQowOq8UobTaEEEKIDCsqLsZmtVJeUUFBYQGW/urMLsWHKsUt4lihQ3RXD3qGBv/ZHQ7WHncitpwcfL09adds747g7otl5HxiDDNbIW/sDBZ86qmnMBgMXHDBBdkORYgRIYnno1BTXU1eXi59gdR+awGf9HkWQkxsRXlS7SyEEEJkmqu8jByHnUh48MAzTdfoVKS4RRw7tHCCeHsgY8era2hi8fJV+H29xGPpE8wv71WIqfJ0wYRWWI3BMHqpsBtvvBGDwcAPfvCDUTunEGOJJJ6PQm6uk4b6evr6JPEshDj2FEmbDSGEECLjioqLyC8oSNvSz9PXnYWIhMieeEcQNRjN2PGWrFxN46QptLftTdtyIxTXeL1NWm5MZNJmQ4jRJYnno9TU1EgikUh504rHIoRDMnlaCDExWS1Gch3SZkMIIYTINJPJRF19HSElNfkliWdxLIru6kXPUBWyzZbDuuNOwpmbR093V9o1e3qjtPql5caEZM6BXFe2oxDimCKJ56NUW1uNw+FASXNh6Ot2ZyEiIYQYedJmQwghhBg5ldVV6LqOpg1OtimxMH3R1EpoISYyPaoSa81cy42qmlqWr1pLMOAnGo2kXfNKa5BIXFpuTDjFNRgMhowc6oUXXuBDH/oQLpcLm81GQ0MDn//852lvbx9Ys379ej7zmc8A8MMf/hCDwTDwnxtvvDHlmD09PXzuc5+jsrISm83G7NmzueGGGw4aw969e/niF7/IpEmTyMnJobi4mNNOO43nn38+Ze2BvaTdbjcXX3wxNTU1mM1mrrrqqqP+fghxMOZsBzDeuUpLKSsrxe32kpvrHLSvt6udippJo9o/SAghRkNRvi3bIQghhBATVlVNsrglHArhzM0dtM/T102ezXmQVwoxMSW8CubCHEwFmSl+WLB0Bc17drF983vUN01OSUZGEzqvtCqsaczLyPnE2GAors/IcW6++WYuuOACVFVl1apV1NbW8vrrr/PHP/6Ru+++m6eeeorp06dz0kknkUgkeO6555g3bx7z588fOMbkyZMHHdPn87FixQqCwSBr1qyhq6uL//znP1x00UVomsbFF188aP0LL7zAqaeeSm9vL9OmTePUU0+ls7OThx9+mIceeoi///3vfOxjH0uJvbOzkyVLlpBIJFi9ejWRSASHw5GR74sQ6Rj0dI2NxGF55tnnefiRx2hqakzZ1zB1AfmF8iiHEGLisJiNzJ1SmrFqASGEEEIMpus6f7v+JrxuDxVVlYP2uXKLWd24IEuRCZE9BosJ++wyDObMFHZ5PW7uuPkvJOJxXOUVadcsq82lsVgKLiaEnHyMM48/6sPs3buXadOmEYvFuPvuuznjjDMA0DSNb3zjG1x11VUsXryYV155BUgOF/zMZz7DZZddlnbA4FNPPcWGDRsA+PjHP86NN96IzZb8mfvnP//Jhz/8Yerq6mhubh54TSAQYPr06Xi9Xm666SbOO++8gX2vvvoqJ5xwAvF4nF27duFyuVLO8+EPf5h//OMf5OTIU6xi5EkpbgbU1lRjsViIppmM29PZloWIhBBi5BTl50jSWQghhBhBBoOBSVMmEYmktgHoVnpJqIksRCVEdulxlViLL2PHKyuvYOXajYRDIcLh9AMFX29TCMXUjJ1TZI+hJDPVztdddx3hcJhzzjlnIOkMYDQa+dnPfkZVVRWvvvoqzz333GEdNz8/n9/97ncDSWeAM888k9mzZ9PS0sKePXsGtt9www10dHTw1a9+dVDSGWDx4sV8//vfJxgMcvPNN6ecx2az8dvf/laSzmLUHHbi+cCeNAaDAYvFQmlpKXPmzOGCCy7grrvuIpEYPxdCN954IwaDIe2dp+GqqqqkqKgQv8+fsi/g6yQRl8EEQoiJo1jabAghhBAjrro22Xsz/oHiFk3X6VR6sxSVENmV6A6T6A1n7HhzFyxi+uw5uNvbUnqqA8Q1nZf2KsiD4uOdAYrrMnKkZ555BiAl4QvJpO5HP/rRQeuGa9GiRZSUlKRsnzp1KgAdHR0D2x555BEAPvKRj6Q91po1awB4+eWXU/YtXLiQ6urqw4pNiKNxxBXPn/70p/n0pz/Nueeey6pVq0gkEvz1r3/l7LPPZsaMGWl/wCcqq9XK7Fkz6evrS31D0nV6u9rTv1AIIcYZR46ZXIc122EIIYQQE15ldRX5Bfn0BfpS9nUEOrMQkRBjQ3SPDz2emSpkk9nM2k0nUlLqwuvpSLvGE4yzvTuakfOJLMkvw2DJTIXvvuGBDQ0Naffv297WdnhPv9fU1KTdnpeX7DMeje7/GdxX/bxq1aqU4lCDwcCSJUsA6OrqSjleXV1mEvBCDNcRDxdMN4Fz586dfPe73+X2229nw4YNPPfcc4Oap09kU6dO5vkXXiQUCuN0Dm7M3tPZhquyITuBCSFEBpUVy+AJIYQQYjTYbDYamhp587XXKS4dXAXX5vcyr2oaJqMpS9EJkUUJjegeHzlTUqtDj0RxSSmrNxzH/ffcQUgJ4nDmpqx5q12hIs9Cvk1+58YjQ2nqPK4RO9cRtiQ0GodfF7qvOv/ss8/G6Tz4sNnp06enbJMWG2K0HXHiOZ1JkyZx2223kZeXx/XXX8+FF17I66+/nslTjFlVlZXU1tawZ09LSuI5GlFQ+npx5hVlKTohhDh6FrOR4gxNEhdCCCHE0Ooa6nn9ldfQNG1QUiKhqbj7uqkuKMtidEJkj+qLEO8KYSnNTFHEzDnzad61kzdffZn6pkkpSUBVh5dagmyanI9RZp2MLzYnFFRl7HBVVVVs3bqV5uZmZs2albJ/XzXySLazqKmpYevWrXznO99h0aJFI3YeITJhRIYL/upXv8LpdPLGG2/w7LPPDtp3//33c+GFFzJjxgzy8/NxOp3MmzePyy+/fNCjA/sc2IO5paWFT3ziE7hcLux2O4sXL+a+++5LG8Pzzz/PmWeeSX19PTabjYqKCpYuXcp3vvMdgsHgsL8Oo9HI9OnT2bt37yHXGo1G5syeRTyeSNsbqttz6NcLIcRY5yqyy4W2EEIIMYqqaqpxOp2EFCVl316fOwsRCTF2xFp8aNHMzJcyGo2s3nA85ZVVuNvTt0joDiXY4s1cf2kxOgyuyRkdjL6vf/Itt9ySsi8Wi3HHHXcMWme1JtsUZnIW2vHHHw/APffck7FjCjFSRiTxXFBQwMknnwzAk08+OWjfRRddxF133UVxcTEnn3wya9asYe/evXzve9/jlFNOQVXT92ras2cPS5Ys4eWXX2bTpk0sWLCA1157jTPPPHOgsfo+9913H2vWrOFf//oXlZWVfOQjH2HBggX09PTw85//PG2fmw/67ne/y6WXXsqiRYt49tlnqa2tHfI1UyZPoqAgH1+aIYO+Xg/xmPSFEkKMTwYDuIqkzYYQQggxmoqKiyirKCOQps+zp6+LmBrPQlRCjBGqnuz3nKHBfwWFhazZeDy6rhPsC6Rd864nTG84cwlEMcJMFihpyOghL7roIux2O7feeiv333//wHZN0/jud79LW1sbixYtYtWqVUCyQhpg69atGYvhkksuoaysjF/84hdce+21KcWPiUSChx9+mHfffTdj5xTiSI1I4hkY6O28efPmQduvueYa3G43zz33HLfddhsPPfQQzc3NnHbaaTzxxBP8/e9/T3u8m266iU996lNs27aNW2+9leeff54rr7wSTdP4yU9+MmjtFVdcgaZp3HHHHbz44ovccsstPPjgg+zYsYOXX3457aTQfTRN45JLLuGnP/0pGzZs4IknnqC0tHRYX3NeXh4zpk/D709NPKPr9HS2Dus4Qggx1pQU5GAxj9hbhhBCCCHSMBgMTJ0+jVgkkpJc03Sddr83S5EJMTZogSgJb+oTAUdq6oxZzFu0hE6PBzVNhaqmw4stQVQtM8luMcJKmzCYMtphlrq6Oq655ho0TeP0009nzZo1fOITn2DmzJn86le/ory8nJtvvnlg/fLlyykrK+POO+9k/fr1XHjhhVx88cU8//zzRxxDYWEh9957LwUFBVxyySU0NDRwyimncN5557Fp0yZcLhcnnXQSO3bsyMSXLMRRGbEswr5kbW9v76DtH/rQh7Db7YO25eXlceWVVwJw7733pj1eY2Mjl19++aBeS1/84hcpKirixRdfJBaLDWzv7ExOeT7uuONSjrNkyZKBqaAfFIvF+PjHP861117LmWeeyYMPPnjQtQczY/pUTCYTkUhqdXO3txU9TRsOIYQY68qLDz60QgghhBAjp6GpEYfTiZKmXaC02xACYq0BtEhmqpANBgMr126kuq6OjoO03PBHVN71hDJyPjGCDAYMrkkjcuhPfepTPPPMM5x22mls3ryZO++8k3A4zOc+9zlee+21QUP9cnJyuP/++zn++ON58803ufHGG7n++uvZtm3bUcWwfPly3nnnHb71rW+Rn5/P008/zT//+U+am5tZt24dN954Y9qcmBCjLbO3fg6w7458ul4627dv54EHHmDHjh0oioKmaQPrt2/fnvZ469evH+iNs4/ZbKaxsZHXX3+d7u5uKisrAVi0aBGbN2/mU5/6FN///vdZtGjRkBNCFUXhtNNO49FHH+WCCy7guuuuw2Q6/Im19Q31VFdX0eH2UFM9uIF9Ih7F3+ulsKTisI8rhBDZkue0Ys8ZsbcLIYQQQhxCaZmL6roadu/YRe4HimK6FB+hWASHVYb/imOYphPd1UPODFdGevnm5uWxduMJ/PP2vxPw+cgvLExZs8UboTrfSqnTctTnEyOkqBaD1T70uiO0cuVK/vWvfw1r7eLFi1NaxO6zfv36Q7aLufHGG7nxxhvT7quoqODnP/85P//5z4eMYajzCDFSRiyTsK+PcnFx8cA2Xde59NJLufLKKw/6A9/Xl9q/DJJTO9PZV5F84GDCyy+/nHfeeYf77ruP++67j6KiIlavXs0ZZ5zBJz/5SXJyUi/MrrrqKhKJBKeccgo33HDDEb9hmU0mFsyfS/O9/0ZV1ZTkdbd3rySehRDjSnmx9HYWQgghssVgMDBtxnS2b9mGpmkpBTWtfjdTXQ3ZCU6IMUJT4sQ7glirDu+J5YNpnDyVBUtW8Px/nsDhdGK2DE4w6yRbbpw0tRCzSYZvj0WGsinZDkEIwQi22njjjTcAmDlz5sC22267jV//+tfU1NRw55130tbWRiwWQ9f1gcTxwRLSQ1UsH6i2tpZXX32Vhx9+mC996UvU1tZy33338V//9V/MnTuX7u7ulNecfPLJFBQU8Mgjj3DXXXcdzpeaYtq0qRQVFdLr86XsU/p6CSlpekALIcQYZLOaKMi1Dr1QCCGEECOmcVITefl59KUZMri3V9ptCAEQbw+ghjIzcNNgMLB89TrqG5pob9ubNk8RjGm82ZG5/tIig3JdGByF2Y5CCMEIJZ79fj8PP/wwABs2bBjYfs899wDwxz/+kbPOOouqqios/XcOd+3aldEYzGYzJ5xwAldffTVvvfUWe/bsYePGjWzfvj3tYwgLFy7k4YcfxuFwcO6553L33Xcf8bnzcnOZO2c2fr8/7RuUp3XnER9bCCFGU3mxIyOPLAohhBDiyBUUFtDQ1Ijf15uyLxBV6FZ8ox+UEGONDtFdPegZGvxndzhYe9yJ5OTY8fX2pF2zozuKuy+Wdp/IHkO5VDsLMVaMSOL5G9/4BoqisGTJElasWDGwfd+gwXRtM26//faRCGVAfX093/72twF49913065ZtmwZDz30EHa7nY9//OMHHXQ4HLNmzsBhd6AoqXdA+/xdKH2pF41CCDGWmIwGSgpHri+aEEIIIYZv6vRp6DqoCTVl387u1ixEJMTYo4cTxNsCGTteXUMTS1asxu/rJRZLn2B+aa9CLKFl7JziKNnyIF/amwoxVmQ08bxr1y4+9rGPcf311+N0Orn++usH7Z86dSoA11577aBK4GeeeYZf/vKXGYvjyiuvxO1OfeTsgQceAJKtOA5mxYoVPPTQQ9hsNs455xzuu+++I4qhsrKCpsYGurvT3xl1S9WzEGKMKy2yYzJKtbMQQggxFtQ3NVBQWIjf70vZ1+73Eo5HU18kxDEo7g6iBjP3+7B4xSqaJk+l4yAtN8JxjdfbpeXGWGEomyxPbAoxhhxx4vmCCy7gggsu4Pzzz+fMM89k5syZTJ48mdtvv50pU6bw1FNPMWfOnEGv+fKXv4zT6eQPf/gDs2fP5txzz2Xt2rWsW7eOz372s0f9xezzwx/+kOrqahYuXMjHPvYxzjnnHKZNm8ZvfvMbiouLufTSSw/5+pUrV/Lggw9isVg4++yzuf/++w87BoPBwLx5c9B1Pe2dUaWvhz5/aq9pIYQYCwxAmQwVFEIIIcYMh8PB1BlT6QukVnPq6OzuactCVEKMTdFdvehqZqqQbbYc1h13Es7cPHq6u9Ku2dMbY69Pbv5kndUBJfXZjkIIcYAjTjzfdNNN3HTTTdxyyy0888wzmEwmzj//fO6++242b97M4sWLU14zdepUXn31VU4//XS6urr417/+RTAY5JprrsloxfNvf/tbPv7xjxMKhXjwwQd56KGHMJvNfP3rX+ftt99mypSh+/2sXr2aBx54AIvFwllnncVDDz102HFMntRETU01Ho837X5P247DPqYQQoyGkkI7Nosp22EIIYQQ4gCTpkzGZDIPDGY/0J6eNlRNHvcXAkCPqsRaM9dyo7K6huWr1xEMBIhGImnXvNqqEInL72A2GSpnYjDKZxghxhKDnu5ZEZEx77zzHnfcdQ+VlRXYbLaU/Q1TF5Bf6MpCZEIIkZ7RALMnl2KVxLMQQggxpiQSCf7xl7/hdnuoqq5K2b+oZiZ1RZVZiEyIsSlnagmmgpyMHCsej3PvHf9g2+b3qG+clLadQ3W+hTWN+Rk5nzhM9gIM0zdJmw0hxpgRGS4o9ps+fSoN9fUHrXp2t+5I2ydKCCGypazYIUlnIYQQYgwym83MWTCPWDSKqqYOGdwlQwaFGCS624eeocF/FouFtZtOpKCwiC6vJ+2atkCc3T3pK6LFyDJUz5aksxBjkCSeR5jFYmH5siXouk4kzSM5kVAf/t70SWkhhBhtJqOBilJntsMQQgghxEFMmTaVouIifL29Kft6wwF6Qv4sRCXE2KTHVaItvowdr6y8glXrNhIOhwiHQ2nXvN4WQoml3hgSIyivDEN+RbajEEKkIYnnUTB12hSamhoP3utZqp6FEGNERakTs0neGoQQQoixKjcvl1lzZtPnD6T9DCFVz0IMpnaHSfSEM3a8OfMXMWP2PDztbWhp+qrHNZ2X9wblM/4o0QFD9ZxshyGEOAjJLowCs8nE8qVLMBgMhMOpb3jRiIKvuyMLkQkhxH4Ws5HyYke2wxBCCCHEEKbPmoHD6UAJBlP2tfo8hGKZS7IJMRFEm33o8cxUIZvMZtZuPJ4SVxled/rP8Z5ggu3d0nJjNBiKajE4CrMdhhDiICTxPEomT25iyuTJB696btuJLlOohRBZVOXKxWiUvmhCCCHEWFdeWUHjpEn0dPek7NPR2drZnIWohBjDEhrRPb6MHa6opJRV6zeRiMdRlNQbQABvtYcIRKTlxogyGDFUzcp2FEKIQ5DE8ygxmUwsX7YYs9mMoqT2gopFw/R0tWchMiGEAHuOmdLCzEz8FkIIIcTIMhgMzJ4/B4PBQCwaS9nf3NMuVc9CfIDqixDvUjJ2vJlz5jN7/kK8HR1ph32qOry4N4gmLTdGjmsSBpvMpxFiLJPE8yhqbGxg6tTJeL3pq5697TvRNLkjKoQYfXXleTIFWgghhBhHGpoaqaiqpLu7K2WfVD0LkV6sxY8WTWTkWEajkdUbjqO8qgpPR/oisp5Qgs1euQk0IkwWDBXTsx2FEGIIkngeRUajkeVLl2C1Wgmm6ccWj0XpdMsFohBidBXl2chzWrMdhhBCCCEOg8ViYd6CeUQjkbTVllL1LEQaqk50ty9jg//yCwpZs+F4dF0n2BdIu+Y9T5jecGaS3WI/Q/k0DGb5DCPEWCeJ51FWX1/HjBnT6OzsSvtm523bRTScucd/hBDiUAwGqCnPy3YYQgghhDgC02fNoLSsjO4uqXoWYri0vigJb+Y+c0+dMYt5i5bQ6fGgJlITzJoOL7YEUTVpuZExVgeUTc52FEKIYZDE8ygzGAwsW7KYnJwc+vpSq551XaN1z/sZuwMrhBCHUlHixGY1ZTsMIYQQQhwBh9PJoiWLCAUVqXoW4jDEWgNokXhGjmUwGFi1bhPVdXV0tLemXeOPqLzrSZ31JI6MoW4hBqN8hhFiPJDEcxbU1FQza9YMurrSVz0rfb30dKZ/wxJCiEyxmI1UlMowDiGEEGI8mzV3NqXlUvUsxGHRdKK7ejNW8OXMzWXtxhMwm80EfL60azZ7I3QqmUl2H9NKGjDkl2c7CiHEMEniOQsMBgNLlyzG6XTi8/nTrunYu514LDLKkQkhjiW15XmYjDJQUAghhBjPhlP1rEjVsxApNCVOvCP1KeQj1Th5KguXrqS7u5NEPH2C+aWWIHFVnm4+UrrZhqF6TrbDEEIcBkk8Z0lVZQWLFy2gp6eHRJoLRE1N0LZncxYiE0IcC4rybBQX5GQ7DCGEEEJkwFBVz5s9u7IQlRBjX7w9gBqKZeRYBoOB5avXUd/QRHvb3rTV1MGYxlsdMtPpSBnrFspAQSHGGUk8Z9HKFcuorammo70j7f6ArxNfj2eUoxJCTHQmk4G6yvxshyGEEEKIDBmq6nmvz01PKP2TlkIc03SSLTcyNPgvx25n3XEnkZNjx9fbk3bNju4oHX2ZSXYfS/SCKgyFVdkOQwhxmCTxnEVOp5P169diMBjSDhoEaG/eTCIhfaCEEJnTWFWAxSx//oUQQoiJ5FBVzwBvt2+TAeZCpKGHE8TbAhk7Xm1DI0tWrsHv6yUWS59gfrlFIZbQMnbOiU4zmjHWLch2GEKIIyCZhyybNnUK8+fNxev1ommpbzyJeIyOlm1ZiEwIMREV59sozLNlOwwhhBBCZNhQVc+94QB7fe4sRCbE2Bd3B1H7ohk73pLlq2iaPJWOg7TcCCc0XmuTlhvDZapbgMEibQKFGI8k8ZxlBoOBtWtXUV5ehtudvq1Gb1cbff7uUY5MCDHRGA069dJiQwghhJiwZs2djau8jC5vZ9r977p3EFcToxzV+Pbbv1/Lud+6mHlnraZqwwyKVzUx44xl/NdlX+HdHakzeVo97Vx7501c8sOvsfCc9eQtqyV3aQ3/ee35Izr/tuad/O4ff+aC//0Ccz68itylNeQuraG5fe9BX9Pt6+XC73+Ryg3Tqdowg4sv+zI9/t60a/e0tVC6ZhKX/f6nRxTfRBLd3YuuZqYK2Wqzse64k8jNzaOnK/3vY7Mvxl5f5pLdE5WeV4ahuC7bYQghjpAknseAwoIC1q1dTTweJxQKpV3Ttud9tDSVC0IIMRy6rjOlrhiTSf7sCyGEEBOVw+lk6crlRCKRtI/4RxMxtnXuGf3AxrFf3vhbHn3hSYryC1m3ZBUnrtpIjtXGLQ/exZrzT+HBZx4btP7eJx7g67/4Hn+//w627dlx1O1Nrrvrr3znqh9y5yP3sruteVivufD7X+T2h//J3KmzmD1lJrc+eDcXfv+Ladd++8ofUFJQzLcu/MpRxTkR6FGV2N7MtdyorK5h2ep1BPv6iEYiade80qoQiUvLjYPRDCaM9YuyHYYQ4ihIBmKMmD1rJrNmzcTd4Ul7cRKLhvG07cxCZEKIicBVlEOeUyZACyGEEBPd7LmzaWhqwNORvq3Gjq4WgtH0xS4i1W1X3EDrY+/x1F/+zS2/uI5bfnEdb9z5H379rf8jnojzhf/7JonE/iryhuo6vvDxi7nhR7/lzTv/w6Zl647q/LMmTefr53+em392De/f+yJT6icdcv1r77/J4y89zUUf+RQPX3MXj1x7Fxd86Fwee/FpXn//rUFrH33hSe7/zyNc/pX/h9PuOKo4J4pEp0LCnz5JfCQWLFnO1Bkz6WhvTf85X9V5uTX9vCcBppq5GKzysynEeCaJ5zHCZDKxYd0aiooK8XamfxSn072HkJK5O7BCiGOD2ahTV1GQ7TCEEEIIMQosVivLV6/EZDKhBFMTWpqu8657exYiG59WzFtCji21t+x/n/1pmmrq8fZ0smX3/pk8p649gZ9//Qecc9KHmVzXhMFwdOf/9IfO5Udf/C5nbjyVusqaIde/ve09AM479eyBbZ86/eOD9gHE4jG+ecX/Y93iVZx1/OlHF+QEE9vdi56hwX8Wi4W1x51IYWERnd70N4PaA3F29WQu2T1RaM5SKG3MdhhCiKMkiecxxOUqZc3qlYSUENFo+l5Pe3e9Iy03hBDDpus6U+pLMBqP8lOPEEIIIcaNpsmTmDF7Jl6vN22VZUegC0+fzJA5WmazBQCLZew8VeYL+AEozC8c2FaYnyxA8PX5B7Zd/fdr2dO+lysu/fGoxjce6HGNaLMvY8dzlVWwct1GIuEw4YO01ny9LYQSk8/5+ySMFkyTlmM42js3Qoisk8TzGLNgwTymTZtCe3tH2ovEaFihdfd7aV4phBCpKkocOO2WbIchhBBCiFFkMBhYvmoF+fn59Pb0pF3zZtsWEjJo8Ijd8sCdbG/eyeTaRibXjp2qzJqKagB2tOwa2La9eeegfa2edn75l6v53McuZEbT1NEPchxQe8IkesIZO96c+YuYMXseno42NC21mjqh6by0N3jUPcEnAk0Hy5RVGMy2bIcihMgAc7YDEINZLBY2rFtLa2s7PT29lJQUp6zx9bixuwtwVdRnIUIhxHhhNUNNeV62wxBCCCFEFrjKy1i0dDFPPvoEBQWFmMymQftD8QjveXYyr2paliIcX6762x/ZvGsbSjjE1j072LxrK5Wucv7yk99jMpmGPsAoWfv/27vv8Lbu+178b+BgD2KQGNxbpKi995YsWR5xare+WbVvmvtkOH160+v4pml6789um/ZxZjNum6Suk9iJ7Iw6jmO73kOWJWvvzT3AAYDY+5zz+4OyEoUgRckgAZLv15OEJPDFwUe0FeC88Tmf79I10Gt1+KcffQvzG+ZClmX8079/CwadHhuWrgEA/M23H4HZaMaX/8df57nawpbsDEAwa6BQf/B/voJKhY1bd6C/rxeD/R64y8pHrRmMZHDJm8Ach/4DP990JrqaoTIW57sMIsoRdjwXoPLyMqxdswrBQADpdDrrGk/XRUTDw1NcGRFNG7KExupiXp5GREQ0iy1dsQzuslIMDgxkvb/N1wNvhOcUE/Hqgbfws+d/id+8/jzOtV1AVWkFHv/772PJ3IX5Lu0arhInHvrkX+HY+ZNo+dBqzLtrDU5cOI2/+dQX4Cp24M1D+/DMa7/DP/zll2E2mq4+LpbIXXfvjJGRkOwI5OxwtuISrN+8DZl0GtFo9g0FT3hiCCVm78iNqMoCbcW8fJdBRDnE4LlArVyxDLW1tejt7RvjchsZnZdPIJ3iJgRENFqluwh6LS9qISIims0MRiNWr1uDdDqNZCL7HjJHe88hI83eoGuifvf9pxA52IOe187gpR/8GvWVtdj1mXvw6H98J9+ljfLF//6XeOZfnsCn//R+fObP/jt++92f4wt//jlkMhk8+PW/w9rFq/Dfbr0bAPD9p/4dtbsWw7mxEbW7FuNfn/6PPFdfWMRAAumhaM6ON3fBIsxfvBSDHg/ELHs3iTJwoDsCaRaO3IhmFDC2bMp3GUSUYwyeC5ROp8OO7VtgMhkxODiUdU0mnULn5ZNZZ0QR0exVZFDCVWzMdxlERERUAObOb0HDnAb0e7I3tERTcZztb81DZdOT1WzBuiWr8J/f/imWNC/E3//gazhy9ni+yxplx5ot+MYX/wFff/DvsXXVRgDA/3v6MVzqasU3vziyoeCzb7yA//3N/w/bVm3E01//D2xftQlf/Mb/wfNvv5zP0gtOqjsIKZmbeehKpRLrt2yHu6wMA56+rGv8sQzODc6uDvSMJEPTtAFKFfemIZppGDwXsKqqSmzbugXJZBLhcDjrmlgkAE/3xSmujIgKlUJOobG6JN9lEBERUYFQqVTYuHUzTCYz/D5f1jWtvm74ooGpLWyaU6vUuHvHHZBlGS/sfSXf5VzXgHcQ//Tv38L/uPvPMb+xBQDwnSd/gNryavzw/34bt228BT/4v99CTVkVvv3Ev+a52gIjyki2D+ds478iixUbtt4CQEY4FMq65nR/HMPx2bP5Z8IxF1qLI99lENEkYPBc4JYsXohVK5djcHAIqVQq6xrfQBeGvZ4proyICk06FcfCOaWc60xERETXcJeVYvX6NYiEw0gls59THO05y5EbN6jYOrIRvHfYn+dKru9vv/sP0Gl1+MqnH7x628XOy1jcvABK5UgsoFQqsWTuQpxvZ2PTH5PCKWQGczdyo7G5BYuWrYR3cABiZnTALAM40BWBKM38kRtBlQ1F1ZzrTDRTMXgucEqlEls2b0Rz0xx09/SMOVajp+MM4rHsXdFENPOl00k0VlmhVnOuMxEREY22dMUy1Dc2wNPXm7VzM5KK49xAWx4qm77eOXoAAFBXUZ3nSsb37vGDeOrF/8QjD/wNrGbLNffF/2hTwVgiBoWCMUE2qZ4QpHg6J8dSKBRYu3ErKqqq4enrybommBBxqj+Wk+crVGFRgGUe5zoTzWR8RZkGdDodbr31FricLvT2ZZ8DJUsSOi8dh5jJzQshEU0fkiTCqpdQYrfmuxQiIiIqUGqNBpu2bYHRZMKwL3uH7mVvFwYjhd+9O1X2nziEV/a/Mar5J51J41+f/g/sefHX0Gt1uHvHnR/oeQ6fOYYlf7oJt33u3g90nGxEUcT/+tpXsHL+Unz89j+75r7m2ibsPboffYMjV8/2DXrwztEDmFs3J+d1zAhSbkduGE0mbNx2C1QqNYKB4axrzg8lMBSdmef4SVGGcd5WKAUh36UQ0SRia9w0UVJcjF07t+NXv34GPp8PxcXFo9akknF0tZ1GTeNiXmpPNIso0iHMnd+c7zKIiIiowJWWl2H1ujV49b9egclshkarGbXmcPcZbG1YCZ1am4cKC0trdzs+88hfo9hqx5LmBbBbbPAFhnGm9Tz6vQPQabX4t//zLVS4yq4+pt87gI889KmrP1/sGNm48QuP/i2KjCYAwM512/Clv/ifV9fEEnFc6mxFMpUcVcPx86fwhUe/fPXn7v6R7tiPPPQpaDUj//zuu/MjuP+uj2b9M/zo1z/FmdbzeOvx3406R/xf9z2Ae/76Pqz/891YvWg5Dpw4jGg8hgfv//yN/JpmFSmaRtoThqasKCfHq6lvxNKVa/DuW6/BYDRBrR69ud57XRHsnGOFWpg55/hpUYJYtQp6Q25+j0RUuBg8TyNzGhuwccN6vPzKa9Dr9TAYDKPWhANDGOxrg6u8Pg8VEtFUi4e9WLdibr7LICIiomli6YrlaG9tQ9vlNlTVVI8KI5OZFA51n8G62sVQzvKRC+uXrMaD9/8l9h07gNOXz8MX8EOjVqOqtBJ3bd2Nz977SdRX1l7zmGQqhUOnj4061oX2S1e/n1PdMOEaQtFw1uOdvHjm6vfbV2/O+lhvwI9//OHXcf+HPoolcxeOun/X+m34f1/5Or75k+/jxb2voqq0HI98/m+wY82WCdc3G6X7whAsOgjG0R/c3CiFQoHV6zehp6sDPV0dqKyuHfV3MpKScMITxfIK0wd+vkIgSjKCljlwuqryXQoRTQGFnKvrRGhKZEQRzz33Ag4fOYrq6iqoVNk/O6hpXIwim3OKqyOiqRQLD2PV4lpotexIIiIioonr6+nFL558CkpBCXuWKykBoMlZgxYXm1mIslHoVdC3OKFQ5qYLubujHb9+6gmoVWrYxvg7uanWjNKiDx5255Msy+iSbKhdsS3fpRDRFJndH2FPQypBwI7tW1FbW43u7p4x50t1Xj6JSCj7nCgimv4SsQgWzi1n6ExEREQ3rKyiHCvXrUYoGEIqOXq8AwBcGOzAQNg3xZURTQ9yPIN0byhnx6usqcWKNesRDA4jlUplXXOwO4pURsp633RxMahA1dLN+S6DiKYQg+dpyGQyYveunbBaLPD092ddI8sSOi4dQzwWnuLqiGiypVNJ1JaZYC0y57sUIiIimqaWr1yBprnN6OvpHbV53vsOd59BPJ2Y4sqIpod0fwRiOPsHNzdjxep1qGtsgqenO2uDWTwj4UhvNGfPN9XOD8ZRvXoXBG4mSDSrMHiepsrKSrFjx1ZIooRAMJh1jSRm0H7hCJKJ2BRXR0STRZJEWA0iystc+S6FiIiIpjGNVoNtO7ejxOVEf58n65qUmMahrjOQ5OndZUk0WZLtw5DF3Pz90Gi12Lx9J0xmM3zeoaxrOgMpdAdyF3ZPlVZvDO7lO2EwGPNdChFNMQbP09iC+fOwZvVK+H1+JBLZOxEy6RTaLxxBOssOyUQ0vUiSBEU6gLlzaq+/mIiIiOg67CXF2LpjGxRKBQLDgaxrfLEAzg20TW1hRNOEnBSR6s7dyA13WQVWb9iMaCSM5Bjn+Id6ooinp8+HQT3DMZjnb4a9xJHvUogoDxg8T2MKhQKbNq7HwgXz0dvbN+YsqFQyjvYLRyBm0lNcIRHliiRJiAV6sGxRc75LISIiohmksXkOVq1dg8DwMJKJ7M0qF4c60RccnOLKiKaHzFAUmWDuRtIsWbEac+bOg6cv+55OKVHGoZ5Izp5vMg2G4kDNSrjLKvNdChHlCYPnaU6j0eD223ahubkJ3d09yGQyWdcl4hG0XzwGUcx+PxEVLkkSMdR3CWtXLoJSyf/bJiIiotxRKBRYs34Nmlua0dc7/rznQJz7xxBlk2ofhpyjjf9UKhU2bdsJq9WGoYHsezr1hdJo8xf2/PVANImIYz6q6pvyXQoR5RETjBnAYDDgztt3o66uFl1d3RBFMeu6WCSAjovHII1xPxEVHkkS0XX5FDauXQqNRpPvcoiIiGgGUms02LpzB1xuFzy9fVnXiLKEA50nkEhzhB/RH5PTEpKdgZwdr8TpwrrN25BMxBGPZd+z6WhvDNFUYZ7bB2NJePTVaJi3ON+lEFGeMXieISyWInzozttQUV6Grq7uMTsVouFhdFw6BkkqzBcoIvo9SZJw8cwhbFizBGaTKd/lEBER0QxmL7Zjyy3bIKgEBIaHs66Jp5M40HkSIs8liEYR/XFk/PGcHW/+4mWYu2Ax+vuyX4mQkWS81xXJOo4jn3zhOFplF1qWrc13KURUABg8zyAlxcX40Iduh8PhQHd39nlQABAJ+dFx6TjDZ6ICJkkizp86gHUrF8Hlcua7HCIiIpoFGuY0YvW6NQgGAkjEswdow/EQDnefLbiwi6gQJDsDkNK5Oc8WBAEbtu5AidOFwX5P1jWD0Qwuegtn5MZAIIrzCSuWrN0MhUKR73KIqAAweJ5hSt1ufOjO3SgqMqOnt3fs8DnoQ+flE2N2RhNR/kiSiPMnD2DD6iWora3JdzlEREQ0SygUCqxatwbzFy6Ap68PmXT2zcn7QoM43X95iqsjmgYyElLtgZwdzmYvxvot25HJpBGNZN9Q8KQnhlAi/01lPb4wToUNWL11JwRByHc5RFQgGDzPQNVVVfjQHbfBoDegt7dvzPA5HPCii+EzUUF5P3TeuHYZQ2ciIiKacmq1Gttv3Yna+jr0dPeMea5w2duFVl/3FFdHVPjEYALpoWjOjjd3/kLMX7QMg/2erPs5iTJwoCsCKY9XIbQPBnDML2DjztuhVqvzVgcRFR4GzzNUQ0M97rxjN3Q6LXr7PGOGz6HAENovHEEmk72bgYimjiheCZ3XLUdNTXW+yyEiIqJZymgyYtftu+FwOtDXM/ZVlCf7LsITGpri6ogKX6orCCmZycmxlEol1m/ZBnd5OQY82Tf/9MczODeYu/nSN+JSnx/HfQK27b4LOp0uLzUQUeFi8DyDNc1pxB2374ZWo4bH0z/mG8ZoeBitZw8ilczPCxURjYTOF94Pnaur8l0OERERzXIlTgduue1W6PQ6DA0OjrnuYNdpDEX8U1gZ0TQgyUi2D+dsFnqRxYoNW3YAkBEOhbKuOd0fhz+Wm7B7os52e3Euqsetd90Dk9k8pc9NRNMDg+cZbm5zE+64bTdUKgGe/rHD52Qiistn30Msmv1FjIgmjyiObCS4aQNDZyIiIioctfW12HrLdmTSGQz7h7OukWQJ+ztOwBcNTG1xRAVOCqeQGcjdyI3G5hYsXr4K3sEBZDKjA2YZIyM3RGlqRm4cbx9Ae8aKXXfeDYPRNCXPSUTTD4PnWaClpRm37d4FQalE/8DAmOFzJp1C67lDCAV4uRzRVEmlkjh3Yh+2rF+B6iqGzkRERFRYFixeiPWbNyAcCiESDmddI8oS3u04Dn8sOMXVERW2VE8QUjw3Yy0VCgXWbtyCiqpq9Pf2ZF0TSoo41R/LyfON5+AlDwZULuy8/S7o9PpJfz4imr4YPM8SC+bPGwmfFcpxZz7LkoiOi8fgG+RGIUSTLRoO4vSRN7F142pUVVXmuxwiIiKiURQKBVatW4Plq1fAOzSERCKRdV1GEvFu+3EE4tnDaaJZSUZOR24YjCZs3HYLVBo1goHsVyGcH0pgKDI5ezhJsow3TnchbK7C9t13QqPVTsrzENHMweB5Flm4YD4+fNedMBmN6Ozsyroj7vt6O87B030xZy+QRHQt35AHp4++jVtv2crQmYiIiAqaIAjYvG0r5i9cAE9vH1LJZNZ1aSmDfe3HEEpEprhCosIlRdNIe3L3gUxNfSOWrVyDYZ8X6XT2gPlAdwRpMbfn8sm0iF/vvwihdC623rIbarU6p8cnopmJwfMs09TUiD+958Nwu13o6Owc84UKAIY8HehuPQVJkqawQqKZr7vjEi6eOoA777gVlZUV+S6HiIiI6Lo0Wg1uuf1WNLfMRW93D1KpVNZ1KTGNd9qPIZzM3Wxbouku3ReGGM3+d+ZGjVyFsAlVtfXw9HRnbRaLpiQc78vd30F/JIkn3j6H8nkrsWHrDggqVc6OTUQzG4PnWaiyohx/9qd/goa6OnR2dY15uRwABPz9aL9wBJnM5FyqQzSbyLKMc6cOobvtFO666w5UVpTnuyQiIiKiCTMYDNj9odvROLcJPV3dYzaxJDMpvNN2DJHk5M+aJZoW3h+5kaON/3R6PTZt3wWdwYBhvy/rmlZ/En2hDx52tw2G8eTe81i0dgvWbtoKQRA+8DGJaPZg8DxLlRQX4557PoyFCxagt9eDSGTsy+Gi4WG0nj2IVDI+hRUSzSxiJoOD77yMWGgQ99z9YYbORERENC0ZTUbcdtcdaGxqRE9XNzJjhM+JTBLvtB9FOMHOZyIAkOMZpHtDOTteZXUNVq3dgFAwMOb4m4PdESQzN3cFsyzLOHB5AL890oaNt+zGyrUboFQyQiKiG6OQOcR3VkumUnjlldfx3sFDsFqtsNmsY65VqTSombMEBpNl6gokmgHisQj2vfE8KsqduP22W2G18O8QERERTW+hYAjP/edv0N7ahoqqKqjGuPReI6ixpmYR7Aa+/yECAF1zCQRzbjblSyWTeObpJ9F26SKqauugUChGram2arCm2nxDx02LEn53uBWeqIQtt+xGy4JFWY9NRHQ9DJ4Joihi7zvv4q2334FGq4HT4RjzRUWhUKK0ag5KXFVTXCXR9OQb7MOBd17G4kXzsXPHNuh0unyXRERERJQTgeFh/PbXv0FXeycqq6shqLJfgi8oBayuWgCnuXiKKyQqPAqtAP08JxRCbrqH+/t68MsnfwwZQInDmXXN2moTqqwTC7tDiQye3nsGWqsDO3bfifLK6pzUSUSzE4NnAjByGc3RYyfw8iuvIZ1Oo7y8bNxPNM3WElTWzodKrZnCKommD1mW0XbxFC6cOYKNG9Zh/fq1UHEeGhEREc0wfp8fz/7qGfR296CyumrM+a8KhQLLK+ahwuqa4gqJCo/KYYC2xpaz4x0+sA+vPP9buMvKoc3S6KIRFLi1yQq9evywu9sfw6/ePYvaOS3YtusOWKzWnNVIRLMTg2e6xoWLl/DCiy9heDiAysqKcTcOUKk1qKxbALOFnQtEf0jMpHH0vTcQCnixc8c2LFq0gJemERER0YzlHfLit79+Bn09faisqhqz8xkAFpU1oa64YgqrIypM2sZiqKy5uRoyk8ng2V/+HOfPnEJNXUPWc48ysxob64qyPl6SZRxp9+LtM91Ytnot1m/eDo02N+NAiGh2Y/BMo/T09uK3z72A3r4+VFVWQq1Wj7ve4a6Bq6KBGw0QAQgFvDiw92VYiozYvesW1NbW5LskIiIiokk3NDCI5599Dt2d3aioGv8cotlZi7muuimsjqjwKNRK6Oe7oFDl5jzaOziAXzz5OFLJJJzu0qxrVlYYUVd8bdgdSYp47tAl+BMyNm7fiYVLlrNphohyhsEzZeXz+/Hb517A5cutcDodMJvH34xAbzCjqmEhtDrjFFVIVFgkUUT75VM4efQ9zJ3bhN27boHdnrvL54iIiIgKXWB4GM//5ndou9yKsopyaMfpmKy1l2NRWRMDLprVBLseunp7zo534ughvPjsr+FwuqE3GEbdr1ICu+ZYYdKOXJXQ5o3hN++egd1Ziu2770BVDT8QIqLcYvBMY4rFYnjzrb04dPgoBEGA2+0at6tZqRRQVt0Mu6N8Cqskyr9oeBjHD7+NYZ8Xq1atwNbNG8c90SIiIiKaqSLhCP7ruedx7sw5uEtLoTfox1zrNhdjeeV8qAXVFFZIVFi09Tao7KND4pshiiKef+aXOHX8CKpr67OevzuNKqyrMWPfZS8Onm1HY3MLtu++AzY7R2gSUe4xeKZxybKM06fP4rXX38SQz4uK8vE7FwDAYnehoqYFgmr8ER1E050kifB0X8LRg/tgMOixfetmLFmyiGNniIiIaFZLxON45cWXceLocZQ4HDCZTWOuNWkMWF29EGZeOUmzlUoJ/XwnlOrcbEQ+7Pfhl08+jnA4hNKy0fPUZVlG0O9FOBLB0pVrsHHbLdBqczNrmojojzF4pgnxen146eXXcO78eVisFthttnEvi1NrdKiqXwCjmaMGaGaKRYO4ePoQ2tsuo7y8DLtv3Yma6qp8l0VERERUENKpFN549XUc3n8QFpsNFqtlzLUqpYAVlfPhLiqZwgqJCodg0UI3J3f//p85eRzPP/ML2OwlMJp+/8FPOpVCX283TCYz1m3ZjsXLVrJphogmFYNnmrBUKoUD7x3CO/v2I5VMoqyiHCph/E9lXeX1cJbVQqHgixnNDJIkYaC3FSeP7kc6ncaiRQuwZfNGWC1jn0wRERERzUZiRsQ7b72Nd9/eB6PJBHvx+LNsW1z1aHLWTE1xRAVGU2OF2pGbzn9JkvDSc8/g6KH9qKqphyAICAaGMezzorZhDrbccivcWbqhiYhyjcEz3bC29g68/PKr6OrpQanbDaNx/BdHncGM8upmdj/TtBePhXHp7GG0XroAp9OBLZs3Yv68FnYJEBEREY1BkiQc2v8e3n79LSgUCrhK3eNeOVlucWJpRQtUytyMHSCaNpSKkZEb2tzMPA+HgvjFk4/DNzQEAFCpVFi2ei1Wr9/E0RpENGUYPNNNCUcieO31N3Hs2AlotVq4XM7r7khtLXajtHIO1Bq+yNH0IssSBnrbcfLofiSTCSxYMA/btmyGzWbNd2lEREREBU+WZZw9fQavv/QqwqEwyisqIKjGDpaLdCasrl4Io2bsjQmJZiKlWQNdU8l1z60n6uK5M3jhN7+CxWrDpu07UdswJ2fHJiKaCAbPdNMkScLxEyfxxhtvYzgQQEVFOTQazbiPUSoFOMvqUOKuZpcoTQvxWBit54/i0oVzKCkpxpZNG7FgwTwI1xkzQ0RERETX6uvpxUvP/xd6urpRWl4GnW7shhSNoMayihbOfaZZR1Npgdo99oacN0KWZXh6u1FkscJkLsrJMYmIbgSDZ/rA+vsH8PIrr+Hipcuw222wWq3XfYxGq0dZdTOKrI7JL5DoJqSSCfT3XML5M8eRSCQwf14Ltm7dhJLi4nyXRkRERDRthUMhvPLCyzh7+gzsxcUosowfhtXaKzC/tIGjN2j2UAD6eU4o9ep8V0JE9IExeKacSCaT2PvOu3jvvUNIpVJwl5VCe53uZwAwW0pQVt0ErS43mygQfVBiJo1BTwd6Oi+gt6cXNpsVmzduwKLFC6+7mSYRERERXV86lcI7b+3FwXcPQK3RwOEcf2yfWWvEisp5sOjNU1glUf4oDWroWhwci0FE0x6DZ8oZWZbR1t6Bve+8i9bWNuh0OrhczuuO1FAoFChxV8NZVgdByM1GCkQ3SpIk+Ae70d/bin6PB9FoDPNamrF16yY4HezMJyIiIsolWZZx6vhJvPHKa4hFYyirKB93lJlSocA8dwPqiysZxtGsoC4zQ1PO8RhENL0xeKacS6fTOHnyNN55dz8GB4dQXGyHxWK57htElVqL0spG2ErKpqhSohEBXz/6ey4hFBxGX58HFosFmzasw9Kli6FS8cMQIiIiosnS1dGJV154CX29fded+wwATpMdyypaoFNrp6hCojxRALq5DgjG619JTERUqBg806QJhULY/94hHD16DLFYHG63G3r9+G8kAcBgsqKsuhkGIz/dpckVCfnh6b6IUMCH/oEBSKKEOY2N2LZ1E9xuV77LIyIiIpoVAsPDeO2lV3H+zFmYzGbYi4vHbVrRCGosrZiL0iJelUYzl9KghrbOxlnPRDStMXimSdfd04u97+zDhQuXIKhUcLtdE5qVW2R1wFlWB4PJMgVV0mySiEfQ330Jw75+DA4OIR5PoKqqAmvXrEJzcxNnORMRERFNsUwmgyMHD2P/2/sQi8VQVl4GlXr8wK3KVor57gZoVewIpRlEAajLiqAuNXGsDBFNewyeaUqIooizZ89j77530dvbB6vVArvdPqEXUpOlGK6yOhjNtimolGaydCqBgd5WeAe64fcPIxgMwuVyYc3qFVi4YD60Wl6ySURERJRPPV3deP3lV9HZ3oEShxPmovE3FNQIaiwobUSVrXSKKiSaPEqDGtpaG5QGdjkT0czA4JmmVCwWw6HDR/DewcMIhkJwu1wwGo0TeqzRbIOrvB6mIvskV0kzTSIegXegC/6hXgQCAfi8PthsVqxYvgzLli6ByTSxfweJiIiIaPLFYjHse3Mvjh4+AgUUcJeVXnfD8hKjDYvLm2DW8n0dTT/JdBLnBtqw+JY1Ez4/JiKaDhg8U14MDAxi7753cebMOciyjNJSN9TXuZTufQaTBQ53DYpsTl56RGOSZRnhgBfegU5EQn5Eo1EMDAzCYDBg8aKFWLVqOYrt/BCDiIiIqBDJsowLZ8/hzdfexNDAIErLSqHT68d9jFKhwBxHDeY4aiBcJ6gmKgSyLKMr4MHByyfQ1dOFD//ZPViweGG+yyIiyhkGz5Q3kiTh0qVW7N23D52dPVCrVXA6HdBoJjajTaPVo8RdDVtJGQRBNcnV0nQhZtLwe/vgG+hCKhlHIpHEwMAABEHA3OYmrF2zCuXlZfkuk4iIiIgmwO/z481XXsf5M2ehMxhQ4ii5bvezSWPA4vJmOEwc1UeFKxAP41jPOVzouIxkIoG581qwded2WKzc44iIZg4Gz5R3yVQK585dwMFDh9HT0wtBJcDpcEx43q4gqGB3VqDEVQW1RjfJ1VKhSsaj8A52YXioD5IkIp3OYGBgAJlMBg31dVi7ZhXq6mqve6JCRERERIUlk8ng5NHj2P/Ofvh9PjjdExvXV2V1o8VdD72a5whUOFJiGmf723Cu9xI8fR7Yi4uxbtN6LFi0EIKKm5wT0czC4JkKRjqdxvnzF3Hw0BF0dXdDoVDA6XRAp5vYG0WFQgGL3Q1bSRlMRRPbuJCmN1mWEQn64B3oQjjoBQAkEgl4vT6k02lUVJRh7erVmDu3CSoVu+KJiIiIpjO/14d9e9/B2ZOnAYUSLrfruu/xBIUS9SWVmOOogZpXSVIeybKMzmEPTvZeQE9vD9LpNJpb5mLT9s0oLinJd3lERJOCwTMVnEwmg4sXL+Pg4SPo6OiEJElwOEpuaJMFlVoLa7EbtuJS6I1Fk1gt5YMoZjB8ZZxGMhEbmeccDsPn80MQBFRWVGDx4oWY19I84Q8uiIiIiKjwSZKES+cvYt/be9Hb3Qub3QaL1XrdphONoEaTswa19grOf6Yp1x/24mx/Kzo93Rj2++EuLcXq9WvRMn8eu5yJaEZj8EwFKyOKaL3chiNHj6G1rR3JZAp2uw0WS9ENdTNr9UbYikthLS6FRjv+hiRUuGRZRjQ8jICvHwF/PyQxA1EU4fcPIxQKwWQyorGxAYsWLkBtbQ1UAt/AEREREc1UsWgUB/cfxNFDh5GIxeEuK4VmAqP6DGodWtz1qLC4eIUkTbqhyDDODbSi19ePgf5+GIxGLFm2FMtXr4TJbMp3eUREk47BMxU8WZbR3d2D4ydO4dz58wiFwigqKoLdboNwg+GiwWSFraQUFrsLKtXENjGk/JFlGbFIAAF/P4L+AWTSKQBAMpnEkNeHVDKF4mIbFi1cgHktc+F0OngCQURERDSL9HR1450396L10mXo9XqUOB0T2tPDqjNjXmkDnCb7FFRJs40/FsTZgTb0B4cw0D8AMZNBY1Mj1m3agFJudE5EswiDZ5pWvF4fTp46jRMnT8Hn9UGr08Fms0Kv199Q4KhQKGC2lMBaUooiqwNKJbtjC4Usy4hHQ1fC5n6kU8mrt0ciEfh8fiiVSpSXl2Hp4kVoapoDk2niY1iIiIiIaGZJp9M4dewEDu5/D0ODg7BYrbDZJ7bni9NkxxxHDRwm2xRUSjNdMB7G2YE2eEJDCAwHEBj2w11WhrUb1qG5ZS7HahDRrMPgmaalSCSKs+fO4+SpU/B4BpBIJmAymmC1WaHV3Fgns1JQwWJzwmJ3wWi2QeCmI1NOkkREQn6EhgcRCgxd7WwGAFEUMTwcQDAUhNFgRENDPRYtnI/6ulpuGEhEREREV4XDYRw7dBTHjxxFKBCEvaQY5qKJjemz6Yswx1GN0iJeQUc3LpSI4vxgG3qDg4iEw/AOeWE0GbF0xTIsX7USRjbKENEsxeCZpjVRFNHn6UdraxvOnDmLIa8PmUwGRUVFsFotNxFMKmAwFcFotsNUZIfRZIWSs4InRSadQigwhFBgCOGgD7IkXr1vpLs5ikAggHQ6DZvNhoUL5mH+/Ba4XZzHR0RERERj83m9OHzgEM6cPIVYPA6n0wnDBDcqN2kNmFNSjUqre0IjO2h2Gwz7cNnbjYGID9FoFN7BQWh1OjS1NGPFqpVwl5Xmu0Qiorxi8EwzRjqdRldXNy5ebsW5c+cRCAQBABaLBRZL0U29cVQoFDCYrDCabTAV2WEwWTiW4yYlE1FEI0HEwgHEIgEk4pFr7pdlGdFoDIFAAKlUEkajERXl5Zg7twlNTXNgNnHzDSIiIiKaGFmW4entw8F3D+Di+QvIiCJcLje0uutvQAgAOpUWDSWVqLGXQ80rIukPiJKI7sAAWr1dCCWjiMdiGBwYhFqjxpymOVi+eiXKKyvYLENEBAbPNEPF4nF0tHfiwsWLuHS5DaFQGCq1CjarFSaT8abfBCgUShjN1isd0TbojRZ2QmQhihnEoyFEIyMhcywShJhJj1onyzJisRgCgSASiQSMRgPKSkvRMrcZtbU1KCkp5hs2IiIiIrppkiSho60dB989gPbWNiiVAkocjgkH0GqlCrXFFai1l8Og0U1ytVTIEukU2v09aPP1ICWmkUgkMDQwCKVSifrGeixfvRLVtTU8fyEi+gMMnmnGCwZDaG1rw7lzF9DZ1Y1oNAqdToeioiIYjYYPFBwrlMJIEG2yQqs3QqczQaPTz7qu6GQidjVgjkYCSMTCY66VJAnhcATBYBCZTAZ6vR4ulxPzWuaitqYaLpeTb9aIiIiIKKfEjIgL587j6KHD6OnqhiwDxSUlMBgNEz5GqbkENcXlcJnYHDGbBONhtPq60R0YgCRLSCaSGBocBCCjpr4OK1avRG19HRuSiIiyYPBMs4YsyxjyetHa2o4zZ8/BO+RFNBYDAOj1ephMJhgM+py8YdBo9VeDaK3eAK3OCK3eCJXqxjY+LCSSJCGdSiCVjCOVjCOdjCMRjyAaCULMpMZ9bDqdQSgUQjgchizLMJlMqKgoR2NDPaqrKuFwlPCNGhERERFNOjEjoq21FccPH0N7WxvSqRTsxSUwmU0TDpMNah1q7GWospVCr2YX9EyUzKTQExhA17AHgcTIOUw0EoHf54dSqURldRVWrF6J+jkNELgnEBHRmBg806wkyzKGhwPw9Pejt7cPbe0d8PuHEYvFAQVgNBhgMhlhMBhy2s0gqDTQ6Y3Q6gzQ6o3Q6kzQ6gxQq7V538RQliSkUolrwuU/DJnT6eTEjiPLSCSSiMaiiEVjyGQyEAQBRUVFqK+vRX1tLSqrKmC1WCb5T0RERERElJ0kSejp6saJo8dx6fwFRGMx2Gw2WKzWG3r/7zIXo9pWBre5BAIbKaY1SZIwEPGhc9iD/rAXsixDkiQEhwMIBgPQ6w2oa6zHwsWLUFNXC0HFwJmI6HoYPBNh5E2G3z8Mj6cfvR4P2traEQgEEI8noABgMBphMhmh1+sn7bI6hUIJlVoNQaWBSqWGSqWBoFZDENQQBBWUSgFKQfiDryooBQEKhQKyJEGSJMiyBEkSR36WJciSOHL71Z/f//7KGklEOpUcCZdTiZuqOyOKiEVjiEajiCcSgAzodJqrmwNWlJfB4ShBWXkZDHp9jn9rREREREQ3T5Zl9Hv6cer4CZw9dQbhUBjmoiLY7LYb6mTVCGqUW5wotzhRbLRCqWAIPV0E4iF0DfejO9CPlDiyL00mk4Hf60M0GoHFasW8BfPRsnA+3KVujlkhIroBDJ6JshBFEV6fD/39AyMd0W0dCAZHNsBTKBTQ6nXQaXXQ6rTQabWzZkyELMtIJpOIRqOIRmPIiBkoFUoYjUbYbVZUVVXC7XbB4XDAUVIMtVqd75KJiIiIiCbE5/XizMnTOH3iFIb9wxBUAoqLi6E3THwONDASQpcWOVBmccBptM+ac4XpJBgPwxP2ojc4iFAicvX2RDwOr9cLMSPC4XRg0bIlaG5phsVqzV+xRETTGINnognIiCK8Q94rozk86O/vRzAYQiKRQCL5+xEUGo3mahit1eqgUgnT7hNxWZYhiiJSqRRSqfSVrymk0mlAlqHVamEyGlFRUYby8jI4HQ44HA4UFZmn3Z+ViIiIiOiPxaJRtF66jFPHT6G3uxvJZBJFRRZYbNYbnuerVqrgLipBucUJp8kOYZZtQl4oJEmCNzoMT9gLT8iLePr3V3tmMhkEhgOIhMPQaNQoqyjHoqVL0Ng8BzodZ3gTEX0QDJ6JblIymUQgGEQwGEIwGEQgEMTAwBC8Xu/VQFrMZCBDAZVKgE6ng1arhUajgUolQBCEvHU/ZK4Gy6mrAXM6lQJkAApAqVRCo9FAo9HAYNDDbrehpLgYDocDTqcDJcV2aDTTd6NEIiIiIqLrkSQJfT29uHD2PM6dOYdgIABBEGC12WA0GW+46UJQCnCbi+EyFaPEZINRwzF0kymVSaM/7EV/2IuBsA8ZSbx6nyRJiITDCAwPAwBsdjuaWprRMKcR5RUVnN9MRJQjDJ6JciwjigiHwiNh9JVQesjrxeDgECKRKNKpFDKiiEwmc+0DZRlK4feBtFKphFJQQlAqR+Y6X7lNluUr85qzfJWkq5tg/PFXAIACgDwSLI+E4GoY9HrYbDbYi+2wmM0wmUwwmYwwmUwwm03QarXsZCYiIiKaxibyXu6+++7Dj3/848kvJgfuv/9+/OQnP8Ebb7yBzZs339QxFAoFqqur0dHRMaH10UgUbZdbce70GXR3dSMWjUGv16PIarnpfWAMah2cJjtKTDY4jDbo1NobPgb9XkbMwB8LwhsLwhsZhj8WhIxr4454LI5hvx/JVBJmsxm1dbVoamlGTV0tdNyPhogo51T5LoBoplEJAmw2K2w26zW3y7KMaDSGWDyGZCKJRDKJRCKBZDKJRGLk+/c36EslU0imkkglR0ZcSKKETDoNSZagUCigUCihVCogKAUoVUqo1WqoVQJUahXUKvXVr2q1Cmq1Giq1GmqVChqNBmaz6ZpwWa/TMVgmIiIimgXuu+++Me9bv379FFYy/RhNRixYvBDzFy3AYP8A2i634cK58/AODmHA0w+tTgeL1QKDwTDh99axdAIdw33oGO4DAJi1RjhMNjiMdpSYrNAI3C9lPMlMCr5oAL5YAN5oAMF4ZFTQLMsyEvE4QsEQ4rE4tDoNSsvL0LKgBXUNDbDZbXmqnohodmDwTDRFFArFlbDXeEOPkyQJmUxmpEs6nYZSKVwd1ZHPcR1ERERENL1Ml47mQqZQKOAqdcNV6sbKtaswODCIro5OXDh7HkMDgxjsH4BGq4XFYrnhcRzhZBThZBRtvh4AgFGjh1VvhlVnhkVvhlVvhlY1O8fdiZKIcDKGUCICXywIXzSAcDKada0kSYhGIggFQ0inUtDqdSguKcHKtY2obahHaVnpDc/qJiKim8PgmajAXZ23DAC8/IuIiIiIqCAIgoDSslKUlpVixeqVGBocQldHJy6dv4j+Pg+GhgahVqlhMptgNJmgVt9YB3M0FUc0FUdvcPDqbXq1Fla9GRad+epXvXrmjMaTZRnRVByhRAShRBTBRAShZASRZGzcx2UyGYRDIURCYYiSBKPJiOraGjQ0NaK8sgJOl5NhMxFRHjB4JiIiIiIiomu8PwO5tbUVX//61/HYY4+hs7MTTqcTH/3oR/HII49Aqx09k/jkyZP427/9W+zduxeiKGLJkiX4u7/7O6jVamzZsiXrLGlZlvHUU0/hRz/6EY4dO4Z4PI7a2lrce++9eOihh2AwGCZU89DQEL7xjW/gt7/9Lbq6uiAIAlwuF1avXo3Pf/7zWLly5XWPcfr0aezcuRODg4P48Y9/jI997GMTem6lUgmX2wWX24Xlq1bAN+RFV0cnOtrb0dvdi/4+D0QxA7VGC5PJBKPJCJXqxk/H4+kk4ukkPCHv759boYBBrYdRo4dBo4dRo4NR8/uf1UJhnfZLsoR4OolYKoFYOj7yNZVAOBlFKBGBKEvXPYaYERGNRhGLRpFIJKBUKmEuMmPBkkWoqatFRVUFLFbrjAnkiYimq8J6BSIiIiIiIqKC8dGPfhQvvPACNm/ejKamJuzduxePPvooent78eSTT16zdv/+/di+fTtisRgWLlyIlpYWtLa2YteuXXjggQeyHl+SJHz84x/Hnj17YDKZsHz5cthsNhw+fBgPP/wwXnzxRbz55pvQX+fKv3A4jFWrVqG9vR2VlZXYsWMHVCoVurq68NRTT6Guru66wfP+/ftx2223IZFI4Nlnn8Xu3btv7Jd1hUKhQInTgRKnA0tXLkc8Fke/px8DHg862jsw4OlHX08vJFmCVjsSRBuMxpvuyJVkGZFUDJFU9q5gjaCGQa2DRqWGRlBDLaihUamgEd7/+drvFQoFFFBg5D+KKz/j6m1Kxciov4yYQUYSkZFEpKUrowGlK7dd+T4tiUimk0hkkoinU0hkkkhmUjf8Z0yn04hGoohGRzZrVyqVMBqNcJe5UVVTg9LyUlRUVkJv4BWiRESFhMEzERERERERjdLZ2QmDwYBLly7B7XYDANrb27F06VL87Gc/w8MPP4z6+noAIwHy/fffj1gshn/8x3/El7/85avHeeyxx/CpT30q63N84xvfwJ49e7B582bs2bPn6vOkUil87nOfw2OPPYaHH34Y//zP/zxurb/61a/Q3t6OO++8E88888w1+6AMDQ1hYGBg3Me/9NJLuPvuu6FWq/Hyyy/ndLNFvUGP2vpa1NbXYvX6tYiEIxjw9MPj8aCjtR3eoSEM+/2QZRkKhRI6vR56vR56g/6muqL/WEpMIyWmc/AnmRpiRkQikUAikUA8FkMmk4FKpYLRaERtXQ0qq6vhdDnhdDthMpvZ1UxEVMAYPBMREREREc0C4wV0zzzzDO66665Rt3/nO9+5GgYDQG1tLT7+8Y/je9/7Hvbu3Xs1eH799ddx8eJFNDY24ktf+tI1x/iLv/gLPP7449i3b981t2cyGTz66KMwGo146qmn4HK5rt6n0Wjw3e9+F88//zx++MMf4qtf/eq4m2oPDQ0BALZu3TpqncPhgMPhGPOxTz/9ND7xiU/AbrfjpZdewqJFi8ZcmwsmswkmcwPq5zRg3cb1CAVD8Hm98Pv8GBoYRF9PL8KhMALDfoiiBKVSAa1uJIzW6rRQq9UzYoNxSZKQTCaRTCSQiCeQTCWBq+G7DgaDAVW1VaioqIDT7YLD5Zzw2BUiIioMDJ6JiIiIiIhmgfvuu2/M+6qqqkbd9v5c5j82Z84cAIDH47l62/uh8t133501FL333ntHBc9Hjx6F1+vFjh07rgmd36fX67Fs2TI8//zzuHTpEpqamsasf9myZQCAr33ta3C5XLjttttgNpvHXP++f/u3f8MDDzyA6upqvPzyy2hoaLjuY3JJoVDAYrXAYrWgrmEkxJdlGeFQGH6fD36fH96hIfR19yIYDCISDiOVGhlVoQAgqFTQaDUjm5FrtNBoNRAEoSC6gGVZhiiKSKfSSKVSSKdTSKXSSKdSAGQACmi1Wuj0OpRVlMHldsNWbIfNboPFaoXFYoGg4oaARETTGYNnIiIiIiKiWeCPN/W7HrfbnXXu8PuBbjKZvHrb+yF0ZWVl1mNlC7Y7OjoAAK+88sp1g1Kv1ztu8Lxt2zZ84QtfwLe//W185CMfgUqlwtKlS7Fjxw588pOfRF1d3ajH9PT04LOf/Sx0Oh3eeOMNVFdXj1vDVFEoFCiyFKHIUoSauloAIyFuNBJFOBxGJBxGJBxBJByG3+fHsM+PSCSCSDiEpC8FURShhALyyCOhVAoQhCv/VQkQBBUElQCVIEChUI7Mcr7y+x+Z6Tzy3R/eLksyJEmEKEmQRAmSJEISJYhXvkqSBFEUIYoiZEkeScVlGUpBgFqjhkajgcFgQFm5bSRYtllhtVphtdtgtVqh0Wry8JsmIqLJxuCZiIiIiIiIRpnscQ6SJAEAGhoasG7dunHXFhcXX/d43/zmN/HpT38azz77LF599VXs27cPBw8exKOPPoo9e/bg7rvvvma90+lES0sLXnvtNTz44IPYs2dPTmYqTwaFQnFlRIcJQOmo+1PJ1EggHYkgHA4jGU8gmUwhmUwgHo0jGosiHoshHouPdB+nUkhkREjyyD8DyIAMGZDlkcD6yv/IV74qFAooBQGCUoBSqYRSGPmvVq+DVquBVquFVquDwWSA2WyG3mCA3qCHwWCAwWCA0WSCTq8riE5sIiKaOoX5qkpERERERETTRmnpSBja3d2d9f5st1dUVAAAmpubb7gbeyxNTU146KGH8NBDDyGRSOB73/sevvjFL+Kzn/3sqOBZo9Hgueeew2233YZf/epXUCqV+PnPf561y7vQabQa2LXFsJeMH9C/P/4ilUwimRzpjoYsQ5ZlSLJ89XsZgCxJV78XlEqo1Wqo1Cqo1Rqo1CqoVKpp+bsiIqKpw+CZiIiIiIiIPpD3O5afeeYZfPWrXx3V2fqLX/xi1GNWrFgBi8WCt956C36/H3a7Pac16XQ6PPjgg/jmN78Jj8eDwcFBOJ3Oa9bo9Xr87ne/w+7du/GLX/wCgiDgiSeemLGBqkKhgEo1EhobjMZ8l0NERDPc9N8Kl4iIiIiIiPJq69ataGxsxIULF/Doo49ec9+Pf/xj7N27d9RjtFotHnroIYTDYfzJn/wJ2traRq3p7e3FE088cd3n/81vfoMDBw6Muv3IkSMYGBiAyWSC1WrN+liDwYDnn38eGzZswJ49e3DfffddHQNCREREN48dz0RERERERLPA/fffP+Z9VVVVeOSRR2762EqlEj/5yU+wfft2fOlLX8KePXvQ0tKC1tZWHDp0CA888AC+//3vQ6O5dhO5L33pSzh//jyeeOIJzJ07F0uWLEFtbS1SqRQuXLiAs2fPYuHChfjEJz4x7vO/+eab+Jd/+ReUl5djyZIlKCoqQl9fH/bu3QtJkvDwww+Peu4/ZDQa8cILL2DXrl342c9+BkEQ8Pjjj0/6nGsiIqKZjMEzERERERHRLPCTn/xkzPsWLVr0gYJnAFizZg3effddfOUrX8Hbb7+Ny5cvY/HixXjhhRfg8/nw/e9/f9QmgUqlEj/96U9xzz334Ic//CEOHTqEo0ePwmazobKyEl/84hdx7733Xve577//fqhUKrz99ts4ePAggsEg3G43du/ejb/6q7/Ctm3brnsMk8mEF198Ebt27cJPf/pTKJVKPPbYYwyfiYiIbpJClkf2qSUiIiIiIiKaDJ/5zGfwgx/8AE899dSEgmQiIiKa/hg8ExERERER0Qfm9/sRCoVQU1Nzze1PP/00Pvaxj8FsNqOnpwdGbmpHREQ0K3DUBhEREREREX1gFy9exJo1a7Bw4ULU1dUBAM6dO4cLFy5AEAT84Ac/YOhMREQ0i7DjmYiIiIiIiD6wwcFBPPLII3j99dfR19eHaDSKkpISrF27Fg8++CDWrFmT7xKJiIhoCjF4JiIiIiIiIiIiIqKc4va8RERERERERERERJRTDJ6JiIiIiIiIiIiIKKcYPBMRERERERERERFRTjF4JiIiIiIiIiIiIqKcYvBMRERERERERERERDnF4JmIiIiIiIiIiIiIcorBMxERERERERERERHlFINnIiIiIiIiIiIiIsopBs9ERERERERERERElFMMnomIiIiIiIiIiIgopxg8ExEREREREREREVFOMXgmIiIiIiIiIiIiopxi8ExEREREREREREREOcXgmYiIiIiIiIiIiIhyisEzEREREREREREREeUUg2ciIiIiIiIiIiIiyikGz0RERERERERERESUUwyeiYiIiIiIiIiIiCinGDwTERERERERERERUU4xeCYiIiIiIiIiIiKinGLwTEREREREREREREQ59f8D9jLNZbSyt1MAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1500x1500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=2, ncols=2,figsize=(15,15))\n",
    "for i in range(len(dfs)):\n",
    "    j1 = np.divide(i,2)\n",
    "    j2 = np.mod(i,2)\n",
    "    dfs[i].language.value_counts().plot(kind=\"pie\",autopct='%1.1f%%',explode=(0.1, 0.1, 0.1,0.8), shadow=True\n",
    "                                      , startangle=30, ax=axes[int(j1),int(j2)],\n",
    "                                      textprops={'color':'black', 'fontsize':15},\n",
    "                                     colors=[colors[v] for v in dfs[i]['language'].value_counts().keys()])\n",
    "    axes[int(j1),int(j2)].tick_params(labelrotation=0)\n",
    "    axes[int(j1),int(j2)].set_title(dfs_names[i],fontdict={'fontsize':20, 'weight':'bold'})\n",
    "    axes[int(j1),int(j2)].set_ylabel('')\n",
    "plt.subplots_adjust(left=0.1,\n",
    "                    bottom=0.1, \n",
    "                    right=0.9, \n",
    "                    top=0.9, \n",
    "                    wspace=0.9, \n",
    "                    hspace=0.2)\n",
    "\n",
    "fig.suptitle('Language Distribution',fontsize = 20, weight=\"bold\") \n",
    "fig.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c3f151e1-3bc7-4a7f-8ec5-3ea123f5604b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.18"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}