6 - content-based filtering - metadatas.ipynb

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    "<center>\n",
    "    <h1 id='content-based-filtering' style='color:#7159c1; font-size:350%'>Content-Based Filtering</h1>\n",
    "    <i style='font-size:125%'>Recommendations of Similar Items by Metadatas</i>\n",
    "</center>\n",
    "\n",
    "> **Topics**\n",
    "\n",
    "```\n",
    "- ✨ Create Sequential Texts\n",
    "- ✨ Word Cloud\n",
    "- ✨ Lower Case\n",
    "- ✨ Remove Break Lines and Special Characters\n",
    "- ✨ Calculate TF-IDF\n",
    "- ✨ Calculate Cosine Similarity\n",
    "- ✨ Deal with Duplicated Titles\n",
    "- ✨ Create Search Function\n",
    "- ✨ Recommendations\n",
    "```"
   ]
  },
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    "# ---- Imports ----\n",
    "import matplotlib.pyplot as plt             # pip install matplotlib\n",
    "import mplcyberpunk                         # pip install mplcyberpunk\n",
    "import numpy as np                          # pip install numpy\n",
    "import pandas as pd                         # pip install pandas\n",
    "import seaborn as sns                       # pip install seaborn\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer  # pip install sklearn\n",
    "from sklearn.metrics.pairwise import linear_kernel           # pip install sklearn\n",
    "import string                               # pip install string\n",
    "from wordcloud import WordCloud             # pip install wordcloud\n",
    "\n",
    "# ---- Constants ----\n",
    "DATASETS_PATH = ('./datasets')\n",
    "SEED = (20231227)\n",
    "\n",
    "# ---- Settings ----\n",
    "np.random.seed(SEED)\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_colwidth', None)\n",
    "sns.set_style('darkgrid')\n",
    "plt.style.use('cyberpunk')\n",
    "\n",
    "# ---- Functions ----\n",
    "def generate_metadatas_sequential_text(dataset, features):\n",
    "    \"\"\"\n",
    "    \\ Description:\n",
    "        - iters each dataset row and features parameter's elements;\n",
    "        - if the value at row[feature] position is different than a single hyphen:\n",
    "             - the value gets all spaces replaced by underscores;\n",
    "             - the value gets all commas-spaces replaced by space;\n",
    "             - sequential_text is incremented by the resultant value and by a space at the end;\n",
    "             - sequential_text is stripped and appended into sequential_text_list;\n",
    "             - at the end, sequential_text_list is returned.\n",
    "    \n",
    "    \\ Paramters:\n",
    "        - dataset: Pandas DataFrame;\n",
    "        - features: list of strings.\n",
    "    \"\"\"\n",
    "    sequential_text_list = []\n",
    "    \n",
    "    for index, row in dataset.iterrows():\n",
    "        current_sequential_text = ''\n",
    "        for feature in features:\n",
    "            if row[feature] != '-':\n",
    "                current_sequential_text += row[feature].replace(' ', '_').replace(',_', ' ')\n",
    "                current_sequential_text += ' '\n",
    "                     \n",
    "        sequential_text_list.append(current_sequential_text.strip())\n",
    "    \n",
    "    return sequential_text_list\n",
    "\n",
    "def transform_duplicated_titles(duplicated_titles_list):\n",
    "    \"\"\"\n",
    "    \\ Description:\n",
    "        - passes through each element from the parameter;\n",
    "        \n",
    "        - if title is into 'title_count' element:\n",
    "            - 'title_count' is increased by 1 for the current title;\n",
    "            - current title is updated by adding a number to the end;\n",
    "            - the number addition starts from 2, that is, from the first repetition of the current title.\n",
    "            \n",
    "        - if title is not into 'title_count':\n",
    "            - title is inserted into 'title_count' with count equals to 1;\n",
    "            - the current title is returned as is;\n",
    "    \n",
    "    \\ Parameters:\n",
    "        - duplicated_titles_list: list of strings.\n",
    "    \"\"\"\n",
    "    title_count = {}\n",
    "    result = []\n",
    "\n",
    "    for title in duplicated_titles_list:\n",
    "        if title in title_count:\n",
    "            title_count[title] += 1\n",
    "            result.append(f'{title} {title_count[title]}')\n",
    "        else:\n",
    "            title_count[title] = 1\n",
    "            result.append(title)\n",
    "    return result\n",
    "\n",
    "def get_recommendations(dataset, title, animes_indices, cosine_similarity, number_recommendations=10):\n",
    "    \"\"\"\n",
    "    \\ Description:\n",
    "        - gets the index of the anime that matches the title;\n",
    "        - gets the pairwise similarity scores of all animes with the chosen anime;\n",
    "        - sort the animes based on the similarity socres on descending order;\n",
    "        - gets the scores of the top 'number_recommendations' animes, excluding the chosen one;\n",
    "        - gets the animes indices;\n",
    "        - returns the recommended animes id, title, score, genre, is hentai flag and image url.\n",
    "    \n",
    "    \\ Parameters:\n",
    "        - dataset: Pandas DataFrame;\n",
    "        - title: string;\n",
    "        - animes_indices: list of integers;\n",
    "        - cosine_similarity: NumPy array of floats;\n",
    "        - number_recommendation: integer.\n",
    "    \"\"\"\n",
    "    index = animes_indices[title]\n",
    "    \n",
    "    similarity_scores = list(enumerate(cosine_similarity[index]))\n",
    "    similarity_scores = sorted(similarity_scores, key=lambda score: score[1], reverse=True)\n",
    "    similarity_scores = similarity_scores[1:number_recommendations+1]\n",
    "    \n",
    "    recommended_animes_indices = [index[0] for index in similarity_scores]\n",
    "    recommended_animes_scores = [index[1] for index in similarity_scores]\n",
    "    \n",
    "    recommendations_df = dataset.iloc[recommended_animes_indices][\n",
    "        ['id', 'title', 'score', 'genres', 'is_hentai', 'image_url']\n",
    "    ].set_index('id')\n",
    "    recommendations_df['cosine_similarity'] = recommended_animes_scores\n",
    "    \n",
    "    return recommendations_df"
   ]
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    "<h1 id='0-creating-sequential-texts' style='color:#7159c1; border-bottom:3px solid #7159c1; letter-spacing:2px; font-family:JetBrains Mono; font-weight: bold; text-align:left; font-size:240%;padding:0'>✨ | Creating Sequential Texts</h1>"
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>score</th>\n",
       "      <th>genres</th>\n",
       "      <th>is_hentai</th>\n",
       "      <th>type</th>\n",
       "      <th>source</th>\n",
       "      <th>image_url</th>\n",
       "      <th>metadatas</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>cowboy bebop</td>\n",
       "      <td>8.75</td>\n",
       "      <td>award winning, action, sci-fi</td>\n",
       "      <td>0</td>\n",
       "      <td>tv</td>\n",
       "      <td>original</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/4/19644.jpg</td>\n",
       "      <td>award_winning action sci-fi tv original</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>cowboy bebop tengoku no tobira</td>\n",
       "      <td>8.38</td>\n",
       "      <td>action, sci-fi</td>\n",
       "      <td>0</td>\n",
       "      <td>movie</td>\n",
       "      <td>original</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/1439/93480.jpg</td>\n",
       "      <td>action sci-fi movie original</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>trigun</td>\n",
       "      <td>8.22</td>\n",
       "      <td>adventure, action, sci-fi</td>\n",
       "      <td>0</td>\n",
       "      <td>tv</td>\n",
       "      <td>manga</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/7/20310.jpg</td>\n",
       "      <td>adventure action sci-fi tv manga</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>witch hunter robin</td>\n",
       "      <td>7.25</td>\n",
       "      <td>mystery, supernatural, action, drama</td>\n",
       "      <td>0</td>\n",
       "      <td>tv</td>\n",
       "      <td>original</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/10/19969.jpg</td>\n",
       "      <td>mystery supernatural action drama tv original</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>bouken ou beet</td>\n",
       "      <td>6.94</td>\n",
       "      <td>adventure, supernatural, fantasy</td>\n",
       "      <td>0</td>\n",
       "      <td>tv</td>\n",
       "      <td>manga</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/7/21569.jpg</td>\n",
       "      <td>adventure supernatural fantasy tv manga</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "                             title  score  \\\n",
       "id                                          \n",
       "1                     cowboy bebop   8.75   \n",
       "5   cowboy bebop tengoku no tobira   8.38   \n",
       "6                           trigun   8.22   \n",
       "7               witch hunter robin   7.25   \n",
       "8                   bouken ou beet   6.94   \n",
       "\n",
       "                                  genres  is_hentai   type    source  \\\n",
       "id                                                                     \n",
       "1          award winning, action, sci-fi          0     tv  original   \n",
       "5                         action, sci-fi          0  movie  original   \n",
       "6              adventure, action, sci-fi          0     tv     manga   \n",
       "7   mystery, supernatural, action, drama          0     tv  original   \n",
       "8       adventure, supernatural, fantasy          0     tv     manga   \n",
       "\n",
       "                                                  image_url  \\\n",
       "id                                                            \n",
       "1      https://cdn.myanimelist.net/images/anime/4/19644.jpg   \n",
       "5   https://cdn.myanimelist.net/images/anime/1439/93480.jpg   \n",
       "6      https://cdn.myanimelist.net/images/anime/7/20310.jpg   \n",
       "7     https://cdn.myanimelist.net/images/anime/10/19969.jpg   \n",
       "8      https://cdn.myanimelist.net/images/anime/7/21569.jpg   \n",
       "\n",
       "                                        metadatas  \n",
       "id                                                 \n",
       "1         award_winning action sci-fi tv original  \n",
       "5                    action sci-fi movie original  \n",
       "6                adventure action sci-fi tv manga  \n",
       "7   mystery supernatural action drama tv original  \n",
       "8         adventure supernatural fantasy tv manga  "
      ]
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   ],
   "source": [
    "# ---- Reading Dataset ----\n",
    "animes_df = pd.read_csv(f'{DATASETS_PATH}/anime-transformed-dataset-2023.csv', index_col='id')[\n",
    "    ['title', 'score', 'genres', 'is_hentai', 'type', 'source', 'image_url']\n",
    "]\n",
    "\n",
    "# ---- Generating Sequential Text for Metadatas ----\n",
    "metadata_features = ['genres', 'type', 'source']\n",
    "animes_df['metadatas'] = generate_metadatas_sequential_text(animes_df, metadata_features)\n",
    "animes_df.head()"
   ]
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    "<h1 id='1-word-cloud' style='color:#7159c1; border-bottom:3px solid #7159c1; letter-spacing:2px; font-family:JetBrains Mono; font-weight: bold; text-align:left; font-size:240%;padding:0'>✨ | Word Cloud</h1>"
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   "execution_count": 3,
   "id": "7f244fca-88fc-4ffb-a393-cf8bebefe971",
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aZbApFCqmT7+ByZOvwc8vqFaKASQJJMlKZWUZixZ9xrJlrVOFCDa3+Z13/oeuXXvVvmJzMW/YsJT33vuPy/29vX2ZOfNWRo6chp9f4DlPnhJWq0RZWTEvv3xvvUR3lcqD6dNvZNKkq/HzC7C7ti0WKzk5p/nuu3fZtWtDq974FQol48fPZsaMGwkMDEMUbce0WiUKC3NYtOhT1q9f6hAOViiUzJ37Cl269EKt9kCpVNt/TPfc8xznTi8z8ySPP34dRmPzQ9KtxeDBY7n11idqP1fbeZaXF/Poo9dQWlrY4D4REbE88cTbtaEdD5RKJYIgEBbWieee+8xh299//4avvvqvw2uCINCz5yCuv/5BYmOTkMlk9t9vdXUFa9b8ws8/z7cnOnfQwYWLxE8/fUVcXBemT7+WMWOmsmPHZlau/JV9+3bY0wNaSmFhXr17XFFRAQaDjpCQunwzM506xSGTybjssqsYPXqyw/Z1yfwajSdKZX2DLS8v2yH3zBl5eTn1vPFWqxVJsiKKtuu5DrlcQa9eA7j00nHExSXi4+OLSqXG3z/Q4b7T3pSUFFFT47oSXhRFkpN7MnLkRDp3TsLPzxbS9vHxa7EMUmuTl5eLj48PSUnd+fnn70hJ6U3v3v05cuQgVquV0tISXn/9eXt+mtVqpbi4kK5duzkYP6Ioc8uQtVisgIQkSQ6/z9DQcP7zn1d4991XOXRoH8OHj2b06LPqFOdq6537sz5wYA/l5aXcfffDFBbm88orz1JTU41CoeTpp19k9+7tvP/+GwQFBfPSS2+37MNqBs0y2EaOnMo119xDTU0Vy5Z9x+nTx7BaLQQHh5GY2JOEhGTy8jJbdaIWi4XvvnuH0NBO+Pj4MXToBLp06emWy9/T05t7732egQNHYzTq2bdvCydO2HIB/PyC6Ny5G6IoqzdnmUzOtdfey7Rp11FWVsySJV+Tnn4clcqDvn2H0b//pdx//4v897+PsW/fllY5T1EUmT79Jq6++i4MBj1//vkLqan7AIHk5D4MGzaR229/GpVKzfLlP9h/dFarlf37t5GVZXPde3h4MmbMTJRKJevX/+7glSsrK75gcv92795MVVUFPj7+xMQkMm7crFoDqvGbUE1NFVu2rEQut1X5RUXFM2jQaKqqylm7donDuaWm7q23f48eA3noodfQaLzYtWs9+/ZtxWDQEReXxMiRU5kx42Y8PDz5/PNXOgpaOrjgKSoq4Omn72HgwOFMmzaboUNHMWbMFPbt28E777xAWtoxt8ZxZrw0dL+wWMxYrVLt9Wq7D6vVtty4kyePcurUiXr7AJSWFjuE9+poSoqLzbBz/ZAslyu4446HufLKm8jLy2bnzr/Izk6nqqqSAQOGMnXqbLeP2VRst7DG72NmswlXz/mCIHLllTdx++0PUVFRzo4dm9ixw3bPTEjoynXX3dGqc24pVVUVGI0mIiKiyMxMJycnk0GDhrF06SJyc7MpKyslOTmFNWuWI5fL8fLytnvQEhK6EBubQE5OFsOGjeTw4QPNrhj19vZBLpeTmnoYvV5Pnz4D3NIe9fHxITQ0nLffnkdFRTmVlRW10RsFQUGhHD58gPLyMi69dAwajWez5tYSmmywCYLIJZeMQSaT88svn7F06TcOlq0o2pJCW1M2Amxu7aNH93L0qG0BDgoKo0uXnm7tO27cLAYMGEVNTRUff/w827evrZeI6+GhqVdy3qPHQCZOvJKKilJefXVurZZXXW7FUm666REmT76Ga665h2PH9reKRyYuLpkZM27CYrHw8cfPs2XLKvuTxsaNv3P48E7uued5rrzyTg4f3k1Ghu2maLGYWbFioX2cwMBQhg4dj0wmY8WKH0hLO9Lg8c43RUW5FBXlAtC5cwqjR89wuU95eTELF35k//fQoeMZOHBU7esfOC1m0Wi8uf76B/H29uPHHz/il18+s/8WNm36g/37t/H4428yevQMtm5dzaFDO1t2gh100A4YDHo2b17Dtm3riY6OZ+bMa5kx41oee+wlHnzwBrRax3tTQw9EGo2m0RCPt3f9sJunpzcKhZyammq7QVdebitu2rFjM99881G9fVoP9yIaiYnJXHnlTaSlHeOJJ+6gqOhsWLc1dfca+jwVCiUqlapF44aFRXDjjfdQVlbK3Lk3kZV1xr7ejhkzpUVjtwVms5ns7AzCwiKorq4iNfUwl146hry8HGpqqnnttee46665zJp1LZJkZffu7Xz44ZuYTCb27dvFnDn3EhQUQk1NFfPnv+v0WBaLxf67rqmpwWKxYDIZ0el0ZGams3v3dl5++R0qK8vJzEy3f0cmk5mamrPXg8lktI8TFhaJ2Wzm1lvvQZIk/P0D+Oyz91m7diW//rqQe+99lJKSIrKzMzl9uv3TiprlYas7caXSliN17sVjtVooLW04x+p8oNF4MXr0dERRZOXKhWzZsqreh2zT0KlweE0URcaOnYlK5cHy5QsdjDWwuVRXrfqZUaMuIy4uidjYrg16c5rKyJFT8fLyYffujWzbtsbBLWy1Wtm6dQ3Dh09mwICRjBw5ja+//q+T0Tr4O9279yM+vhv5+VmsWLHQwXCXJIlDh3Zw7Nh++vQZyuDB4zh0aBd137unpzcBAQGAgCRZKSjIt4dwRFFGcnIKI0eOJzo6DpPJyPHjR9m06U8yM8/U+82JokjnzkmMHDmehIQuSJJEdnYGO3du4cCBPS2qoK4bPyAgiC5dkunSpRuRkdH4+PgiiiJabQ15edmcPHmM1NRDFBTkNetJ1laC78O5XgSttsahoq4leHp6ERAQ6DC+yWSkoKB+eO7vqNUeBAWFuB0ukiSJ4uIC9Pq2TxNQKJRERkbTrVsP4uMTCQkJR6PRYDabqagoJysrnePHj3DiRCqVleVNWhTMZjOnT5/gnXdeJDy8E/37DyEwMNi+IBkMBiTJire3b719ExO7N2qwJSQkoVAoHUKWnTsn4eGhIS3tmP0+dfz4EbTaGvr1G8zChZ9jNLoX4mwrOnWKRa1Ws2fPVgdjTRRFEhK6ON3XarXaO/M0htlsxmw24+nphSg65ltFR8c3WYvy74SGRuDj48uuXVvqFT507pzUorHbio8/fhuZzBbSXLduNTt3bqOiwra+Hj68n7lzb8fb2weLxUJVVQVWq5Vdu7ayb98urFYLnp5eVFVVYTQa8PHxxc/Pv8Hj5Ofn8tJLT2MymXjhhSeprq4mOzuTrVs3YTDoefnlf+Pj41drkGnRaGz5lLt3b3Pw3m3evI6dO7cil8u5556Hee+919izZwcAM2ZcxaWXjmHt2pX88MNXLF++BEEQqKyswNPTq96DUFvTZINNkqzs2bOZ3r2HMGPGzWg03qxf/xs5OekXTJjtXEJDIwkNjcJg0LNt259u3/w8PLxITOyB1Wrh1KkjqNX1WxxptdVUV1cSFBRGp04JLTbYlEoVSUm9ATh4cEeD4Tiz2cTBg9sZMGAk3bv3q3cT7cA5KSkDkMlk9qKGvxexCIJAfn4WgiAQE5OIXC6zfw/jx0/liSdeAGw36vvvv5E9e3agVKq4+ea7ufHGO/H29rEbCZIkcfPNd/HRR/9l8eIf7DcIpVLF9dffzk033YWfn7/D9jfddBebNv3Ja689S35+bpPPz2Y49mD27OsYMmQkwcEhyOWKeoaLJElYLBbKy0vZuXMLP/74NQcO7G5SCHjYsFH8+9+vOCxox48f4Y47rmmVyqmbbrqLG25wDPls2vQnTzxxr8t7Tb9+g3jjjfluV0mazWYeeug2duzY3Oz5usLDQ8Pw4aO5/PJ/0aNHH7y8vGtb89X/boxGI7m5Wfz553IWL/6erKyMBseUyxV0796LzMwzVFVVYDaba/WigggKCqa6usrhu8jLy6K6uopBg4YTEdGJvDybvlRcXCLTpjUeHkxO7smoUZNYv345ZrOZoKBQrrzyJgwGAxs3ntUxO336BNu2bWD48LFceeXNLFnyAzqdFkGw9biMioqloqKM/PycFn6a7lFWVoLFYiUqKhaVSoXBYEAmkzNkyEiGDRvb6H5Wq5WiogLUag1JST3IzDyN1Wq1GyJ160hlZTkFBbkkJCTRo0df9u/fiSTZvHfXXjsHhULRovlXVpZjNBoJD4/E09ObmpoqRFEkJaUPU6Zc0eA+57Z/rDu+XC5HoVBitVoc5g8wevREkpNTANiwYU29Yo6mcq4RYzIZKSsrcXjfaDTUe6gzGo124/7ch6Z+/QYxbpxjLmQdP/30Hfv37wawVyNbLGZqawQwm82Ulhbbt68TNj73WGB7iLH9LmTodDp69uxDZWUFvr5+jB07kY0b19o/r/Lys0WGlZWOTp72oFketrVrlxAeHs3YsZczc+bNjBs3i9TUvWzc+Af79m25oIRKAwJCUShUVFSUUlyc7/Z+3t5+eHn5IIoybr31ca6//sF62wiCSEBAMIIgtPhJCkCpVOPnF4TVaqGwsPEbWkFBDpIk2btEdBhs7iGKIqGhtorUXr0u4a23FjW4XZ33QaPxcsh7UCgUdpFOq9VKYmIye/fu4l//upU77piLQuFoGAmCQHBwGI8++hzV1dWsWLEEURS5+ea7uOOOhxrcXq32YNy4qWg0njzyyB0uxSPPxaZPdR+XX36tg+HYEIIgIJfLCQoKYdKkGYwYMY5ly37h44/fdPBEOGP37m3U1FQTFhZhf61bt15069aTPXu2O9nTNd7ePowdO9mhgs9isbBhwxq3HgxlMjkajafbVVx1QsttRZcu3Xjwwae45JJL633vf8cmbq0iLq4zc+bcx5QplzN//tv89ttP9a51pVLFY4+9iJeXDxkZpygvL0WlUtO5czLBwaF8+eV7tWr4NvLzc1i5cgmzZ9/I++9/T2rqIdRqNV26pHD48F6Cg0MbnFNq6kEeeOBpLrvsKioqyuxe20WLvuHQobP6dSaTkffeexl//0DuuutRpk27kry8HORyOSEhYQQFhfDCC4+2m8GWmnqIQ4f2MGLEeF59dT7Z2RlERESRmNiNDRtWMWXKrEb3Xbv2DyZPvpyHH/4/Ro+ehF6vx8vLm6+//oADB2yGgl6v45dfvuWxx17k5Zc/5ODBPVgsZhITkykszCMr60yL5p+dnc62besZNWoSb7zxGadOHScoKITu3XuzY8dmxo79e/9bgWuumUO/foPx9PQkJCQCQRC54oobGDJkFFptDenpaXz00ev2oo/Roycwa9a1tQUARS022FqT9evXsGFDfakTsDmPWhOLxcIbbzzP5Zdfw/XX34Zer2Pp0l9Yv36V653biWYZbHq9li+/fJ2tW1czYcKV9O49hP79R9Cv33DS00/w88+fsGPH+nZXAW4IpVKFKAqYTMYmeQCVSiWiKOOs0G/D++bn20qrnbVocRe53FayLUk4NcJsF5pUu/1FK6XX7giCiFJpK/m2WMyNfqdlZSWUlZVQVNR46M1WNp5EcnIKt9xyT6OLsCAIeHhouOuuh9i5cwsJCV24+ebGt6/bZ/DgS5k0aQY///ytW+cWFRXDc8+9wYABQ5tcOWZ74PDiyitvoGvX7jz77EONJoyfS2FhAVu3bmDmzGvsx1OpVIwfP5W9e3e0KL+jZ89+xMQk2P8tSRJ5eTlue8BsVWNWJKm+B6s9EQSBoUNH8cwzrxIeHtXkuQiCQHh4JE899RIxMfF88MHrDpWfer2Wzz57m+HDxxEZGUNcXCJGo5FDh/awdu0fbNu20WFhs+XGvk5W1hmGDx9Lp06xlJeX8sUX77Ju3XJmzLiWzMxT9eaxe/dWvvjiPaZPv5pOnWLJz89lwYLPWLFicb3rKDc3i8cfv51x4y5j8OCRBAeHYTabSEtL5aefvqrX6aCkpJiFC7/g2DHX/X7Lyor58ccvOXHiSL3fV1VVBT///I2DrEl1dSXPPvsgV199Cz169KV//8EUFeXzwguPcOLEUYqK8snKSm/wWAcP7uapp+7h1lvvIyIiujYcn0tNjWOu8/Lli6murmLixBmEhUWi1+tYuXIJv/76PRMnTEehVGGxWAgMDKKsrBSdroZffvmO0tJil5WQRqOR119/hvT0U/TvP4SePfuRl5fNm28+x86dm8nKSufYsYPn7CFRUVFmNxSPHTtcb8ySkqKLSM5Gate55uRk8d57r7Xb8ZpKs1d7i8XC0aN7OXbsACEhEQwaNJoxY2YQF5fE/fe/zPvv/4ctW86/ZWow6LFarSiVKnurCXcwGg1YLBbMZjMffPAsx48fdLp9a3i5TCYjJpOx1tOiaXQ7Dw9PQMBoNGI2d3jX3EWSrBgMOiRJYuvWNXz11RtObwZWq9WpFlzXrinccMPt+PkFUFRUwI4df9WWqHdnwIDB9lCkLbyawLhxUxg1aiKenl6YzWaOHNnP4cP7kclkDB48kpiYOPuCLooyLrtsNr///rPLvKqwsAjmzXuP3r0HOBgEkiSh1+s4cyaN06dPUFRUiNVqxd8/gLi4ziQkdLUnk9fNs1evfrz66oc88sgdpKfXX7j//nmuWPEbU6fOqs1ntTF8+Bg++eStv7WdcR9BEJkwYVq9cNLmzWvdzo9LTT3EM888jJ+fP35+Afb/+vj44u3tQ3x8ooNGWFsxaNAwXnjhLYd8OkmSsFqtFBTkkZZ2jOzsTLTaapRKFeHhkXTunERUVAxyudz+vdjC6LdhMhn58MM37EaS1Wpl/fqVbNiwyl6tWRfubswDodXW8PPPX7N48Xf2Nkd1D7Nff/1Bg/uIosiOHZvYteuv2rCg5PQBuKKinEWLvuHXX79HFEUkCXs47u8UFubZW2G5oqiogA8+eKWRY5bxySdv1Hs9Pz+Hd955EZlMToB/AN4+Ppw6dRKA+fPfbPRYkiSxa9dfXHLJIH788XtKSoobPAeLxcz69SvYuHE1MplYq/tWW4RRUURhYT4Wi5mwsHAqKyuoqanm00/fcut8wfYAOX/+m3zxxbu1D5tWuzOkoe/rjz8ajhx0cPHTYveM1WohPz+L3377mvXrlzJnzhNceukUJk++hh071p33bgQlJfkYjQY0Gi9CQ6MoL3dvEamsLKOyshRPzxj8/UPaRZPLYNBTUJBDaGgUkZGxjW4XGRmLIAiUlBS0q8ryxY7VaiU315YLFBoaicGgb1HeZUpKb1JSepGaeoinn76ftLTjSJKESqXmjjse5NZb77OH2URRZM6c+wkICMRoNPDBB2/www9f2L+/Tp1ieeedL0hMTLYv0p07JxER0YnTp082Oge12oNHHnnWwVirWzA2blzN119/wrFjh9HpdJxbNKNUqoiOjmP27OuYMeNqe6jXZoh259//foWHHrrNZbX3wYN7OHXqBMnJPQCb4RcR0Yn+/QezevWyZn2uwcEhDB48wsH4NBj0rFr1m9tP28XFhSxd+lO912UyGRqNJ598spCePfs2a37uEh0dx9NPz6tnrKWnn+LLLz9k06Y/KS0tcYhECIKAt7cvgwYN4/bbHyQpqbt9X7lcwfXX386xY0dYvfp3h2OdayS4i8ViaXKxidVqbZIYb3OO0VoMGDCIfv0GotVqMZtN/LbkFyZNnkZGxhlOnTrJ0KGXUlpaQlhoOJlZGSiVSkaMGE1ZaSlLflvE8OEjiY/rTHR0DCaT0WEtGzVqLEldu1FdU01VVSV//bWRyy67HJkosvjXnwkJCWXkyDGEhYWzfPlSunfvyfhxEzlz5jQWi4WJE6cSH5/A/v17+euvjW6dT4fEUAet07eklsrKslpBVwsBASFN8mi1FQUFOeTkpKNUqhgxYqrbeSo6XQ2HD+9CEASGDZvg4EFoK8xmk13PrW/f4Q162dRqDX37DgfgwIFt590gvtjYv38rJpORhITuxMQ4rxJzhVwux2w289ZbL3Hy5DG7MWEw6Pnmm/kOhpZN2DcChULJn38u57vv5jsY21lZ6fz449cOBolG4+mykm3KlMsZM2ayg3FjMhn55JM3eeKJe9m3b2ftcRwNHaPRQFraMV577Vn+85+5djmGurkOHDiE666b41K7qKammj///MNh3jKZjAkTLmt2TtigQcMICQlzeO3EiVSOHHHu5XYHi8WCXq9v83QNhULB3Xc/TGxsgoOxtnv3Nu6++18sXryA4uL63WAkSaKyspw1a5Zx3303smvXVofP1hZef7i2erYDZ0RFRpOVlWlrNu4XgCCK7Nu3m/DanMsjRw5x9dXXk5LSk9zcbK699gZOnUqjW7cU+vYdwKCBg1n443fotPUfiuNi40nPOI1KqSI6OpaZM2ZjMpmwWq1MmDCZqVOms3Tpr2RlZQICx44dQSaXo1AosFoljh07yoH9exk/blI7fyodXMw02WBTqdT06zecgIDg2hyvc9/zoHfvIchkMoqKcl0YE455Nk3L7ThX4NF5vo5er2X16p+xWMyMGTODKVOuw9PT275PXY5RTEwXNJqzCc6SJLFy5U9UVJTSu/cQrrzyDnx8/B32UyrVREbG0rv3ELdE+dxh8+bl5OVlkpiYwrRp16NSna1OVanUTJ16HV279qSoKI9Nm/5olWO2JnVdL+r+330V8Zb8Htzn+PED7Nv3F15ePtx225PExnatNSxsc5XJ5Pj5BdKnzzB8fBouJz+XtLRj7N9fX6utvLyULVvW1/MIGY1GFi36rkG5g337djkYcaIo0qlTXKPHDggI4oYb7kAuP+solySJJUt+5PPPP3BL5d5isbBmzTLeeedlB+V5QRC56qobiY/v7HKMtWtXOsjiCIJA//6DCQ+Pcrnv35HL5UyYcJlDdafVamX16t8vKm9y376DHAxpSZLIysrg//7vkUYrPv9Ofn4O8+b9m+Jix44fCQmJjB8/rdXn3BB13Wsunpyns1isFiorK6isKLf3srRYrPZbksViQSaKtVWTNrkVmUzG+g1/kp+fW2vc69A3ILFjMpuprKyksrIci8Vsb4eUduokO3dsQxRl6HRatLXGniRJSFYrggAhwSFcffV1yORy5C2sIu3gf4smh0TVag133PEfZDI5WVlp5OZmoNPV1HoDupOQ0A2ttpply76vZ7AlJ/ehf/8RaDReaDRe9rBfSEgkDzwwj+rqCnS6GioqSlm16ieHRWD48EnExyfb901MtIVgevQYyMMPv45WW23vZbpmzS8Ooa4NG34nPj6ZsWNncdNNDzFu3OVkZp7EYNDj5eVLWFgUvr4BPPvs7aSnn22ie+bMMb766g1uvfUJZs2aw5AhE8jIOFF7vt4EB4cTFtaJEycOcujQzto2GS2juDifzz9/hXvvfYGrr76Lvn2HcfLkISRJIjGxB1279kSnq+Grr95wu4dqW+Ll5cvEiVfi6xuARuOFj48/Pj4BiKKMq6++m1Gjptu/mz17NjtIn0RGxjFy5FQ0Gm80Gi+CgsKQyxV4evpw113PUFFRilZbTU1NNWvX/uq0ctZdjEYDX3zxOn5+wSQn9+aFFz7n9OlUSksLkckUBAaGEBbWCbXag6eeutFlr9jDhw/Uhhsbem8fNs/WWeOzoCCX48ePNrh9UVE+1dVV9spIWw/bsAa3BRg5cryDBwdsSbOffvpOk3IqJUni999/YfToSQwfPsYeGg0ICGLWrH/x+uv/53TBTk8/xb59u7j00rH2ufj7BzJ8+Bh++OELt+cB0KlTXL1cvIqKMjZsWN2kcc4nMpmcK6+80UEKyGq18s03H5OR0bQm4mlpx1i58jeuu+62cx4WRSZPvpwlSxa2uW7c0aMHuO++6+x9Ky8mKirKqamuprS0BLlCQWBgICNHjCY4OIQePXoRER7Jol8WEhkRRUJCZ35d/BMDBg6murqKPXt2cib9NHNuvQuzyVQvrFtaWkJNdTVl5WUgiOzatZ0pky8jOak7Z86cZtOmddxwwy3IZXIOHdrP8GEjCQuPYOLEqWxYvxatVktcbDyZGS2rInUHuVxOQEAQvr5+gE2OoqSkuMnRGZlMhlyuqJWdcWwrptFoCAwMxsPDE2utoVxeXlZvu8ZQKBT4+Pjh6+uHUqm0i+LaijS0Tu8/NvkSJZJktT8Ie3p6ER4eidlsIi8v10HXsi5XVKlUUlxcSHl5mVsPJHK5Ah8fH3x9/VEqVVitVnQ6LeXlpdTU1LR61WqDc2jqDgaDnoMHd9C37zC6detHr16XIAgiFosFg0HLsWP7+fXXL9i79696+3bunMK4cY5l1HULYrduZ/NJdLoatmxZ5WCw9e8/gj59htbbV6lU0bPnIPtr2dmnWbfOsT2RwaDniy9eIz39OOPHzyY8PJqoqDhAqH2K0nLmzLF6lZ6SJLFhw+8UF+czc+YtdOnSk0GDRiMIIlar7ekrPz+L7dv/bNUQy549m3nttblcddVddOnSk6QkW/9UvV5Hauo+fv55PgcPOpdNkCQrVVXlbZ5D4uXlw7hxs2oLIaidpxa9XktkZByRkWc9RJWVZQ4GW3h4NOPHz3ZYnKuqygHsBjnYFrsDB7Y1arCZTCYqK8uorq5068LLz8/i1VcfZPr0Gxk8eBzduvWz34hMJiMVFSVs2/YnZWXFTseRJMlpNWV+fh4mk8khnJ6ZeaZRqQ6DwUBVVSWhoeH213x96wucgu0G93dPlM0r/Fuz9NsMBj0//fQNgwePsCf7C4LAqFET+PTTd+tpKZ2L2WxixYolDBs22iFnb/z4qfzyy/du37QBRowYh4/P2XOuCyO665W6EIiM7MSAAUMcftf5+bmsXbuiyWNJksT69au46qob7b+jugrlyMgYTp067mKEllFZWc6ePdva9BhtxaZNGwCJ/Qds9xxJkpj/qS1J32q1cvToYSwWCwcO7LNL9ezZu8tetPHTTwtqq/YlLrlkKDExcfZxtm3dTMY56vlWq5WPPrYVBZjNZjIz09m1e4dd80wmk7F1m63C2WQy8d57/7WP1VaIooxBg4byr3/dSkpKr9rrSqCqqpKjRw+yYMGXbNu20W2R7pkzr+amm+6koqKMuXNvp7AwH19fP6644l9MnjyDiAjbg67VaqG6uoqsrAwWLfqeJUt+bHA8uVxOQkJXRo8ez6BBw4iOjsPb28euF6fT6SguLmTXrq38/PP3nDhxtMHPq0ePPjz33BuUlBQzd+4cYmMTePLJF+jSJRmz2cz+/bt55ZVnOHMmjaioaB5//DkGDhyKQqGgoCCfr776mEWLvmtwnZTJZMTGJjBy5DgGDx5BbGw8vr5+tXO0otfrKC0tZs+eHfzyywIOHdrXpt9pkw02vV7Lhx/+H76+AQQFheHl5YNMJsdo1FNSUkhRUW6jN+jVqxe5FcaTJInqakdRuvnzX3IrJ85qtTR4fINBz4oVP7JhwzJCQ6Pw9w+qFcrTUlJSQGlpYYP72dTvd5Kauo+QkAiCg8NRKJQYDLbzLSmxNUBuTeracL300r2EhUUTFBSKJEmUlBSSn5/p1gJYVlbC00/fjCAI9T7L1qSwMIdHH73GrRDm30N0Bw5s4/77Z7h1HGfafvv2beGBB2Y2+t03RElJAV9++TqLF39OWFi0vaedTa8vj6qqSpdPTFarlcLCPCdzrq5nsOXkZDVq3NeFYM6lIcFmgJCQMJKTU/6WmG9gw4bVzb5h7N+/i7y8HKKjY+2vhYVF0q1bD7Zs2eB03+3bN5Ofn0tkZCf7a9269aRz564cPepe7plNg26ygxFqsVhYsWJJi4pD2ps+fQY6qLNLksTBg3ua3QEiI+M05eVlDt5WjcaTrl27tbnBdjFTd/2eez001MP03Mbh5yb2n1vIsWvXDvbtO6s3ZzDoHfaLjY1j9OjRTu+D5WXlLP39N4A2L8SQy+XccMPt3HXXQ3h6eiEIgn2+anUII0aMZeDAIXz66XsObZqc4ecXQEJCF3Q6LX5+Acjlcl588S0GDRqKIDjK52g0ngQHh7Jp09oGxxIEgVtuuYc5c+7Fy8tRw9T2mSpQqz0ICAgkMTGJ8eOn8eKLTzZYyOTh4UFCQiJRUdGkpPTi8cefp3Pnrvb5DB8+GrlczpNP3s///d8bDBlyKZIk1Vbvx/HYY8+Sm5vF5s3r6o09e/b1PPDAE3bvpOMcbb1z/f0DiI9PZPz4qbz++nP8+uvCNjPamlUlarVaKCsrcmgo7g4Gg67Zxk1NjfsCos7Q6WpITz/uEPp0B7PZRG5uhr3KsD0wGg1kZp4kM7PxKsHGkCSry3Bea2C1Nv84Nm9WqesN22gcSZIoLy9xu3L471gsZrvCdkPYmjs7Gn3ORGltT/aOhkljOnsJCV0dPFF1Y6enp7mYdeNUVFRw/PhhB4NNLpfTp89AlwZbSUkRmzev5aqrbrTfKDUaT8aMmeS2wZaU1J0uXbo5vJaTk8muXVubdB7nm759B9brsHDkyIEmVVeeS2VlBVVVFQ4GmyiKDjp1HbQtRqPB6cNg7969efed950W2qSmHmX1mlUNGo2tzYQJl3HvvY/i4aHBYrFw6NA+1q1bSUFBPt7ePvTrN5Bhw0Zz550PktHEsKxCoSQ2Np4rrvgXgwYNo6Agj/37d5OefgqLxUJoaDjJyT2IiIhi+/aGdRMlSSIt7RgqlRqDQU96+mkOHtzLqVPHKS8vR6PRkJLSm9GjJ+DnF0BQUDCPPvoshw8fIDe34VQgtdqD++57HEEQePXVZ1EqlVx//W0EB4fSr98lPProM/Tu3Y9Fi77nwIE9DB06kvHjp+LhoeHyy69hy5YN9a7RtLRjKJVKjEYjmZnpHDq0l5Mnj1FWVoJKpSY5OYXRoycSHByKr68fc+c+zcGDe0lLa5sHqQ7V1VYkOrozM2fe4nY7nHOpqCjh22+blnvUUqKi4pk169Z6xSPuUFlZxrffvt2kcFdrY3tqBHcbQdc9ZbYWVqvVaS852xOt47/r2qM0vo/jv222j2O/XoD4+C71jLmcnEyqqx1FPZuCJFk5efIYY8dOcXhaTkxMRiaTOfUKSJLEqlVLmTHjKgev4KhRE/nqq49cnrcgCIwdO8VhX1tKwmrKylpu1LcXSqWS+PjEeq9XV1c5dIRoCgqFst5nb8tvbLgrQQf/2wQGBnPXXQ/VhietLF68gDfeeMGhldLChV8xdOgoXnrpLRITm9aTVBRF7r33UaKj4/jpp2/59NN3yc/PtRs7dR1bOnWKJSOjcS3H7dv/4v33X2ffvp2kph5Gq61xuD+L4rf89tvP/Pe/HxMUFEJERBQjRozlhx++bHReCQmJ3H77tfaWVdXVVfznP/NQKpVMnjyThQu/5pVX/oPJZGLdupV06ZJMQkIXkpN74OXlXa/d1MGDe/nggzdITT3M4cP7qa6ucpijIAgsWrSAt976lKioaAIDgxg/fmqHwXYx4O3tR+/eQxyq9tyloCC7WYZTS/D29q2db9MrlYqK8tp9vuciiiK33vwE6ZknWLPGtVCkSuXBjTc8zO49G9m7t3X6RVqt1iYbrK1l4EZEOKrmS5JUW9nWstBhTo7j02udHIlcLncZxjly5AAnTqTSo0cfe+FCbGw8vXr146+/1jvd19fXjxEjxjmck06nZdWq353sdeGhUnk02N7p8cef5+GHn2n2uBqNp1uvddDBiBFjiY2NRxAETp8+yTvvvFrPELFYLGzevJavvvqEhx56uklV+aIo0rlzV5Ys+YlXXnmmXg6cJEnodFpOnGi4uKoOrbaGTz99t9H3rVYru3dvY8mSH5kz5z5EUaRnzz6NGmyCIHD8eCpHj57tmLFt2yaqqqrw9fXDYNCzdOnPdg9neXkZx48fJT4+ET8/f3x8fOt9TkajkS+++LDROUqSxJEjB1i48Csefvg/iKJIjx69awWpW78I4YI02OKDB6GQeXA8f8P5nkqTOHHiII89dg3uS1mcxWIxYzS2bcXX30lLO8Jjj11Lc+ZrtZpbPXevaQjExSWh07sn9SCXy4mKiudkWv1WLS2hOWKlrUFgYFC91yoq3Kt2coZNpsDi8NDh4+OLQmFrnO0MrbaGNWuW0aNHH/trCoWS8eOnsWXLBqdz6917IFFRMfZ/S5JEauohTpw40oKzaX80Go1D/1M4Kx3U2jTnwbCDfzaiKHLppWNqu0tIrF79R6O5k5IksWbNMubMuQc/v4AmHaeiopwvvvjA7YKF5iJJEnv37kKSrAiCjICAoEYjJZIkkZFx2uGhuLS0lKqqSnx9/aioKCczM91h+zrJHLlc7iDr1VT279+N2WxGqVTi52dTSfifMdg6BfRGKddwPH8j7oa7zheiIEMpP3szriq3haQMphok2r7MtyWYTEaKihpPmv8nUVNTxcvz7sVkar0Q7rlJx+2JrTm4ut7r7uiuuUKv19c7J3mt4Kc7rF+/iltuuRd//wD7XIcMGUFwcCiFhfkN7iOKIhMnXlZPT27VqqVtLlvR2iiVqo7+vh2cNzQaT3vCvdlsZu/eHU63LyzMJzs7s8kG24kTR5ssUdNcqqoq7PckW/u1xlNbiosdjVOr1WI3KsvLS+vdI+seQkVRbNEDUFVVld1Ak8lkiGLb6IhecHcWAQGFrO27CrQWUf496B87uy7ZCACzRc/6Yx9RpW9eVdjFTkhIJH36DMPPN4Ds7DPs2/8XWq1jbpVSqSI5qS8JCd1RKlUUF+dz8NB2B+kOuVxBl8SedOnSE7VaQ1lZMYeP7CQn52ySrCAIdOnSix4pAwFIPbaXY8f22ysxRVEkLi4Zda0AcW5eRpOLZZxxvgRFGwphtM5cJOo/JLnfTD4rK4M9e7Yzduxk+2vBwWFccslwli79ucF9QkPDGThwqMMxSkuLG60wu5CpW1DORZIkDAZDqz9xNyS+fD4IDQklNi6OHTucSw110PZ4enrZu2Do9Xry8pxrVxoMBgoLGy+EaoyMjDOt1ipLEAS8vLwJC4skNDScwMAgvLy8UKnUqFRqoqPj3Bamr6lxXGfq+vYC6HS6Bir0z81Hcz62p6cXYWERhIVFEBgYXDtHD1Qqm65be3i82+wIAiJSgzd/54iCHLmowiJdDGX8AhF+3fFUBTjcpI1mXat1PrjYSE7qwx13PENRUR4lJQUMHDiG4cMn8/4H/7HLi3hqvLltztN0696f06ePYjDo6N1rCFpttd1gUyrV3HjDwwwaOJoz6cepqamkZ49LEAQcDLYeKQPp3q0/mZkn8fULYuqU6/jiy1fZ/NdywFZlOXzYJGJjupKY2INvvn2TVavr95i8mGhIuBJolfZpCoWy3m/XYrG4fXO2WMysWPErI0eOt9/ARFFkwoTLWL58SYNinUOHjiQoKMT+b0mS2LHjL3JzLz6xVrPZVM8wMxqNPPPM3FZPRHZVyNFeTJ06lQEDBnYYbBcAHh4eKBRKwCY94srr7k4hVEPU1FS3+AFREESSk7tz+eXXMnjwcEJDw1GrPez5r83BmRhwnSZe0+YokJDQhcsvv4Zhw0YSHh6Fh4emRXNsCW1isIX6JNKz0xTKarLZl/EbFslEXNBAIvySXe4rCCI+HqGUaVuuat/WyGVKgr3jzssXdyGiUnlw7TX3c+jQTr759r+YTEbCw2N49j+fMHzYZFas/AGAUaOmk5IygDffeoxjx23eMJXKw+FiGzRwNEOGTOCDD59h376/sFjMKJUqJKvjBeft7ceLL91NTu4ZFAoVD9z3EiMuncrWbauxWMyYTEa+/ua/eHv78dIL37h+jLpIaKhy8u8yH83B29unXpWzTlfTpGKJnTu3kpOTSUxMPGC76fXuPYCYmLh6QsN1OW7nXkNms5kVK5a0eb/PtkCn09WTbRBFkcLCfJdJ2C0lMCAQL29vgoOCGDhwECtWrsBqtTBl8lQOHznMX39txsvLi7i4eE6cOO7QoUMURZKTkiktKyUvz5Ym4e3lzdBhw+japStWq5VTp0+xa9dOiopsHmovLy8iIyKZPHkqINGvbz/bZ6DXc+xYqkOIqGfPXgy+5BJAYNeunezbv8/hISA6Ohqz2UJVVSWjR40hISGe/IICVqxYTnl5OYmJiRgMBjIyHGWVgoODCQsLJzX1aEdzdGxiuWfboVnd8uo2p1CppcaaXC7nmmtu5q675trDsQaDnpycLAoL8ykrK6Gmpga9XktAQBBjx052a51tzYiHKIpMn34lDz74FMHBtgdKo9FAXl4OhYX5tm4XNdXo9Vo8Pb2YNGl6m6dDtMnoYb5JhPl0xc8jgqO5f6I1lhPkHUd88CVtcbjzhrcqGC91/eTv/1XCwjrRqVNnlv3xLRqNTQzRoNdSUJBNSvcBrFy1EFGU0a/fCA4c3E7qsX12nbJzCxgEQaR/vxGkpR1mf62xBg1XWB5N3UtObjoAJpOB9MyTDBwwCplMbt+vTt9MusDzIZtCXl6OXfwRbEZRcHCow3k3h5CQsHrVp8XFRU1aDMvLS9m4cQ3XX3+7fSwfHx9GjBhXz2CLjo4lJaWPwzEzM0+7zL25UNHrdVRUlBEUFGx/TS6XN1g52tpMmDiRu++8h8zMDLp06cqsWVeQn5eHr58fDz/0CNOmT8VgMLDop1944snH+WXx2erqhPgElv62jIcefpDflv6Gl5cXn3wyn27J3Tl69AhqtZo5c27jgw/fZ/78TxBFkfvve4CxY8aRkpKC2Wzig/c/AiA9I52bbr4BvV6PKIrcdefd3HvPvRxNTUUA5j74EJ/M/5i33n4Ti8WCIAg8NPcRPD09EQTbXKqrqwkKDmb//n2Ul5dz262307tPH6bPmGbvzykIAk89+TTdunVn+oxpHQYbtntknZEmlyvcyj2t88i1J6NHT2Tu3KdQqz0wmUwsX76En376htOn06ipqXLwhg0aNIwxYya1+xwHDhzKk0++YBdVX7t2BQsWfMnJk6m1OWsW+xyTk3swbtzUi9NgO1W4DQGBSn0hOtNZd6vJouNQ9kqMlsYr+0RBTveIsW0xrVYnxCcBudi2+XYJ8d2QyeWcOOGe+Kg7REbGMXrUDJb98V2r5nP5+QWiVntwy81POHjLPDw8OX7igL3nm59vAKmpexrtJCCTyfD3DyY75zRmF8ZHRUUJ54bdJavFoQH9P5XTp09gtVocbhBRUdGo1ep6eRxNIT6+S70n2fT0U03qO2grGPid2bOvP6c6UmDMmMksWPCFQ5hmyJCReHt7O+y7bt3KeuX1Fws6nY7s7AwSEro4vJ6YmMyKFUva9NiiKBId3Ykbb76eiIhIlvz6G4989w2Lf13MmtVr6dO7Dwt//IFt27dy9dVX89vSJXYjZ/z4CWi1WrZs3QJA165JjLh0JJdfMZMdO7YjiiL+/v72vDmr1cqbb/2XDz/6gO+/+4GCggLuf+Be+3t1xSK9evZi7tyHePjhh/h92VIA/nXtv3jppXms+XMNBw7sB0AmE5k2dRrPPvcM9z9wHwaDAU9Pz9oejRK/LF7E1ddcQ5/efexzDAwMZNzYcXz08UcXXXFKW6HV1lBdXYW3tw8eHh4uve6277VpBQctRalU8q9/3WLXXPzllwW88sozjXrxz0c1tEwm49prb7Z3YVizZhlPPz0Xna5h20Uul7fLmtMmn0S1oZj9WUvrvW40azlZ+BdGszODTUZsYL+2mFYrIxDq08X1Zi3Ex8efwMAwrFYrWVlpGAx6ggLD8PMPIjv7NDKZDIVCSXl5CUFB4VRVlaFQqIgIj6Gyqpz8/Mx6Y+bmplNdXYlKaas0lMsVRHfqjF6vJS8/k9DQKAoLcxFFgcDAMAoLcwgPi0btoSEzM63RxdtkNGI0Gvjsi3nk5DhWEBkMeiwWCzKZFZPZhErVcMsloLanpwGVUu1S7LYtSqcvBtLSjlNdXYWv79kWSKGhEYSHR5GWdqxZY3p4aEhK6u7wmiRJHD68v8ljHT9+hNTUQ/TpM9Ce75GYmExiYjKHDtl6OyoUSkaMGMe5sjI1NdWsWeO6fd2FitVq4ciRA1x66VgHw7d37/4olao2F5ouLCyioKAQQRCorKjk0OHDaLVaKsrL8fPzw2Kx8MMPC/j4o09I7JxI6rFU1Go10y+bzspVKygpsXX9qKgox2g0MnPGTHJzc8jJybG/V4der8dkMmGxmDGbTQ2KNk+cOImK8nJ27d5lN8x379mDZLUy+JLBdoMNIC8vj4U//GD3oFVWnn3Y339gP6lHjzL7iivZum0rkiQxZPBQNBoNK1Yub+2P8aKlurqKvLwcwsMjUSiUJCYmc/jwgUa3r2uS3p74+voTH5+IIAjo9TqWLPnR6XXxd83J9sDT04uuXbshCAImk4lff/2xUWMNICwswmmXi9aiHTPjJUwWAxar8yd1q2TFbD1/6vnuopJrCPSKbvMfkiCIxMZ2JTIijvHjZhMcHMH48bMJCgxj8qRr8fLyZfSomcjlCsaPm41K5cHUKdcRGBhKUGAoDWmsSZKE9Rzv1sgRlxET04WBA8eQ2LkH/fpeSkREDNHRifTqOZjOnXswaNAYOiekMHLEtEbnmpefSY22Cn+/IHsbr7q/khJbJZLJZCAj4yTJyX3x8GhY98ZiMXP6zDESOnfHx6d9n/4uFvLycjh58piDMavReHLJJcOaPWZCQhd73lkd1dWVHDy4p5E9Gkev17Fq1VKH+Xl4eDBy5Dj7vzt1iiE5ucc5OTc247CtVMLbi+3bNzto1gmCQHJyjwY7ILQ2tmpUC1arhNlswmAw2OVn6qQGtmzdQl5ePtOnzwAgKSmJLl268sviX+zf1+nTp3ny6SeYOGESa9es492336N37z5Nut/ZErYTiIuLZ/WqNfy1eSt/bd7KLz8vRqPxxNfX0ftTUFiAtpFFUa/Xs/DHHxg/fgKhoaHIZDJmzpzJli1byMio/1D6v4rRaGTfvp32dIlRo8Y79VAlJiY59P9tD5RKlV2s3WQyOS16UCiU9R5+2gNbONkWKnbVglAmkzFixLh2EZJvN4MtvXgPB7KWYbW6yjOQMJi1SNKFnXDsqwlHo/Rr8+NISBw5sptt21cTHBxBbExXTp9OZcfOtWg0Xuh0NchkMjp3TkGnq6aqqpy0tMPExnatDRQ6z9uSyWRERMSwbfsa9u/fQufOKRxN3UO35H4kJ/fj6NE9JHXtRWBgKL6+AajVmkYvnvLyYlav/pkZ029m4oSr6NKlFz17XsL0y26ic+cU22wkidVrfiIoMIzbb3uaXr0G07Vrb0ZcOo3u3frbx9qwcSkKuZK77niWvn2H06VLL4YOnUi/vpc26fML8A+md++hDBwwGo2HJ50TujNgwCiSkvpc1HpZRqOB1at//1srF5EpU2bVa6bsDqIoMnXqFQ4Cr5IkceDAXrKzm9c/d+PGPykrO+uVEQSBYcNG248xaNBwvL19HI63cuVv57XdWWtw7NhhTpw46vDdeHl5c+WVN7T5b07ibDs0W9e2+td/ZWUlixb/zIwZM/H19WXqlGmcPnOaAwfOemKsVisLF/7A+IljeeGlF+ialMSvvyzhsmnTmzYfSSL1WCo333wj199wHdffcB3XXncN4yaM5etvvnbY1pW3fOWqlSDA2DHjiIiIYMiQofy06KcWd/f4p7FmzXK02ppaDcSRDB8+usHtNBpPbrzxjgY1HduSmpoqu8yTWu1R7yGxDlEUmTbtcoYOHdHuBpter7Ubko21mwNqjeIJjB8/pV3m2G4rVlFV4z3F/s6h7BXIRAUXsmhuqHdnRKHtPz5BEAgPjyY0NAqDQU9xST49UgYQFBiGKIrodVqOpu5l0sSrWb58AQCnz6SSl5/JpIlXc/LkwXoLoEKhRKlQolJ7AAI1NVWEhXUiIjyG0tJCcrLPcOnwKVgsFvILsigszKWyqpyDB7ZhOSfR8u9IksSyP76lurqCkSOmcdm0GzGZjOTkprN339l2UGlph3n73SeZNvV65tzyFDKZjPLyEhYtnm/fJifnDG++/RjTL7uRm254BLlcQVVVOX8s/77uYBw5uofsbMfQa05uBocP78Jqsd38o2O6MHb0TBAETpw4iEbjxYjhU6mqriAzMw2ttqqlX9F5Y+3aFdxwwx1ERp719CYn92DatCtYuPCrJlVMde/emylTZv6tWtPEkiU/NLtZdW5uNjt3bmHixOn2cePiEomP78Lx44ftiux1FBUVuGxhdTGg1dbw668/0L17T7uBJggCU6ZczpYtG1i79vyH8H77bQl33XE3I0eMZOLESfz448IGQz6FhYV8++03LFnyK198/iU333wLvy9b6mBcnVv8ci6SJHHsWCrDhg7jTHo6RUWFLZpzXl4+q1auZNasK1Ao5Ghratiy5a8WjflP5MiRg6xe/QczZlyJRqPh2WdfIygolE2b/qSmphq5XEFsbDzXX38bo0ZNoKamul53jrakqqqSAwf2Eh4ehVwu5+67H6K4uIC0tBOYTCYUCgWhoeHMmHEl//rXrZjNtpB7c1ooNhedTseePTtITExCEERuvfUeMjPTSU09hNForC0kCmHy5JncdNOdiKKI0WhEqWzbAo4L0sVQobuw1fdFQUaob9vnrwHk52eh8fCke7cBrF27mMKiHPz8AunX71LWrVuC0WQgI+M4VouV9IwTgEBi5x4EBYWxbfsazGYzcvnZH5EkWUns3AOLxUxS195UVpSydt2vDOg/Ep2uht17NmI0GTh4cDtmswmz2cTefZvp338kgy4Zy5Eju6msLGt0viaTkTV/LmLDxt9RKlVYrVYMBkfBQkmSOHp0N8eP70Ol8kAQREwmQz3D8tSpI7z9zhO1Xj0Rs8mIobZ9l1Wy8v2Cd+odf/v2NWzfvsb+7/37t7B//5bmfvwXNAUFeSxY8AUPP/wfu2Egl8u5886Hycg4w7ZtG90y2qKiYnjqqZcc1M4lSWLPnh1s3ryu2fOzWi0sX76EsWOn2KvVPDw8GDRoKBUVZXTv3svheFu3bqSw8MK+9t1l5crfuOyy2fTuPcBuzGg0njz99MtYrRY2bfqzyW3KBEHA19eP5OSe7Nu3s0WdLU6fPs2WrX9x5513ExQYyPIVjnmDnTpF4+vjQ3pGOkajEY1Gg1qlprSs1OE3JUkSBQUFJCZ2ITg4mIqKCmQyud34W7p0KbfNuZ2HH3qYt995m8rKCpu0SGwcR44eaTDvrTEkycrCnxby7dff4ufnx4qVKygtrS9v87+O2Wzi3XdfIT6+Mz179iUkJIxnn32VsrISKisrUKs98PcPRK1Ws3v3NjZvXseDDz7VbvOzWCx8/fUnDBgwmMDAYFJSevPFF4vIzDxDTU0Nnp5eREZ2wtfXl6KiIl555T/cc88j9Qp52hJJkliw4AsuvXQMERFRJCR0Yf78BWRmnqGqqgoPDw2RkVH4+QVQWVnB888/wdVX30jv3v1dD94CLkiD7UJHrfDBTxPZLi7Q3Nx0cmtlK+rYt+/sU6XGw4vevYdy6MhOuzTGjp1nFeIjImLpnHA2kby0rIjDh3dyNNUxL2nNn44N1PedY+SYTEa2bVvdpHmbTAaXbaAsFku9Dgh/x2q1utzmf5nFixcwbNgoBg8+GzYICAjk5Zff5cMP32D58l+prm7Yi6hQKOnffzBz5z5dL5esvLyM999/Da22pkXz27t3B5mZZ+xJxgADBgyhtLTYwUA0mYysXPnbP6aIpKqqkrfeeol33vkCP78Ae+FFcHAo8+a9x2+//cSiRd/V9j5suGNBXQuygIBAunTpxpAhIxg8eAQeHh5cddXEegab0WCkqrISkLBaLVRUVNiNwqqqKvT6s9ejxWLhh4U/8P23C1i+Ynk9fbOUlBTefusdqior0Wp1+Pr5Ul1dzTP/94yDwWa1Wvnmm6/5dP7nrF75J5VVlaSnn+G22+dgNBpJO5XGAw/ez4svvsy0qZeh1+tQqdRUVFZwxezL7QabVquluqrK5QPGgQP7OX3mDH169+Gxxx5x+/v4XyM/P5dHHrmTuXOfZuTIcXh4aAgMDCYw0CY3o9Np+eOPxbz55kuEhIRhMhlrc7acf/6tpXN28OBe/v3vuTz88H+Ij0/Ey8ubbt162t83mUzs37+H//73Bfbt28XIkeOc5oC6mlZz5p2Wdpwnn7yfxx77P5KSuqPReJKUlGJ/32Ixk5p6mHfemceWLRtISupOr15tWzDZYbA1gwDPKNSK9nMhO0OUySgrK+bkyUMNvt+QwdfBP4fq6irmzfs3b7/9uV2SQxAEAgODeeqpl5k9+3o2bVrL0aMHKS0txmq14O3tS3x8IkOHjqJv34F2dXGoa6Ok5733XuHAgd0tnl9FRTnr1q2032wFQaBz5ySHMJokSZw+ndYqx1Op1Pj7B6BUqtBoNGg0Xmg0nnh6eqLReOHl5Y2vrx/h4VEO+9lEMq8iOTmF6uoqamqq0WprHP50Oh1Go4GSkiK3DMt9+3by+uvP8dRTL+Hp6WX/bry8fLj22luZNm02J0+mcvz4UXJzs9FqqxFFEY3Gk4CAIMLDo4iKiiY8PAofH19726u6htV/5/dlS1m3bi16vZ6srCymTJ1EaWkpZrOZ2+64rV6j7pMnTlBVVcXPP/9YT8Pszz/XMH3GZcRER6Oq9awdOXKYsrL63vW/tvzFhEnj6NatO4IgkJGRbg+jS5LEqtWr2L1nN927p+Dr40tZeSknTpywC/BKksTLL7+ETC5zqaWmrxXlFUWRQ4cbvud1YCM7O5MnnriP5OQUBgwYXJs6AdnZWezatZXU1EOYTCYqKsqYO/d25HI5qamHGx3vzz+Xk5lp6zKTnt6yPqKSJLFx458cPLiPAQMG0717L/z9AzCZTBQU5HHo0D4OHtxrlyiaP/9d1q5d2eC1d+JEKg89dDuiKHL8uKM4tcGg55VXnsHLy5uystJ6v6/ff/+Fw4cPYLFYyMqqn6u7a9dWbr11Nv36XULPnn0IDAzGbDZTVFTAkSMH2L9/t12CaMGCL9i3bycVFRWYTG2TV9nuBptK7oWnyt+mX+bEQWU06yi/QLsdhPp0QWjPAlsnVFdXcOTIrvM9jQ7OI2fOpPHkk/czb967DkabXC4nObkHSUkpWK0WzGYLICGKslrdoPo9L3U6LR999F8WL17Qar1J16xZxrXX3mLPkwkNDSMwMNjh+GvXLm/UE9gURowYx7//PQ+VSo0oyhBFEVEUkclEBEFs1Csuk8mYMmUmU6bMtJ+3rdrSav+ru1HPmTO70Ub2DmcuSSxb9guCIPDII8/YPW1gM1x9fHzp1+8S+vVrHUFxnU5n715gsVgoLDxr2JWWltTbfuKkSRQVF7H5r8313jOZTBw7lsqxY6luHTszM5PMzMarNUtKSti0aWOj71e4qbsXGhrKyBGjeO+Ddzu019zAZDJy8OBeDh7c2+g2Wq2W9etXuRwrPf0U6enu56K7Q1lZCatXL2P16mVOtzt16kQ90e06SktL+PPPhvNCLRYLW7c2/rs7efIYJ086l0GqrKxg/fpVLj+jrKyMBo2+1qTdDDZBEOkSOpzk8DFoVH6IgvMS2PyK4/x59D0utMIDmaggxKdzRzuqDi4ojh49wAMP3MJjjz3PkCEjHJqQC4KATCZ3WqEoSRK5udm8887LrFq1tMn5Vc5ISzvO4cP7GTTIJjkiijKUyrPXf3V1Zasl4tfl57Tk+qzb1/aZOb5nNpubVL5vtVpYuvQncnIymTv336Sk9EYUGzccXSFJEnq9rtmh48DAIAYOGEBMTCz33XMfr7/x+gWfByYIAgMHDiI0NJSrZl9FZWUFS5b8er6n1UEH7U67GWwRvsn0i7kcUZRTrS9BayzHWx2MUu5BWU02MlGJlyoApVxDVukBjuVv4MIw1gRkotzuGQz2isdPE+58D0HA1yMMWStXkUpAtb64WTp1MlGJtzoIwYlbUwJqDCWYLOf/yVUmKPD2CHY6XwCtsRyDuWV5Vv8U0tNP8cgjtzN58kyuueYW4uMTG/Sk1VGnz1VSUsTq1cv4/vvP7CGP1sRoNLBy5W8MGDC4QWNn377dnDmT1urHvVCQJIndu7dx113XMnnyTC6//FoSErqgVKpcGm42b5+EXm8gKyudv/5ay4oVv1Fe3jwjKzQ0lIfmPowoynjv/ff49rtvmjVOeyKKIlOnTGXUyNGcOn2KO+++s56Ibwcd/C8g0C5WkcCQztcTH3wJR3JWczR3DSaLnr4xlxPm25VVh9/AKlnwVgfTJ3oGGqUvG4/Pp9rQvhelgIhcpsJD6YO3Ohh/TSR+mgh8PcLQKP1QyjV2KQ9nN1qbMK0t/NSaSJKVdcc+Ir+i6Ur2GqU/E1MexkPpvFXJ/szfOZLbtAKDtiA6oDfDEm9GEBoPPVusZjYc+4j8yoZd5a1NYmIygwYNpS6Wb+uBt7hR4UcfH18mTpxxTqm3xLZtmzl1qmFhWFGUMW7cFIe+k9nZ6WzYsKbB7Z3h6+tH376DGDJkBElJKQQFheDhoalVF9dTVlbCmTNp7N69je3bN5OXl92mCf/+/oFMmDCtwdL8Awd2c+jQvlY5Tnx8okMBRmtjMOj544/FLSrG8PLyJjm5J4MGDaVbt56Ehkbg6+uLUmlrc2c0GqmpqaasrITMzHSOHTvE4cP7OX36JDU11S0KVQuCgEKhqO0m0jy5lvOBTCZDJpNhsVha1fvbWsyYMZPvvl3gVO0+NfUoI0YOp6rq4pUS6uD80i4eNlEQ8fUIQ2ssIzVvrd0jYrYakYlyJMmKxWqiXJvLzjMLmdD9IbpHTmDH6R9oS3tSKffERx2Mr0cYfrXGmbc6GLXCG7lMZffuNPXmLwhCq3vXAKySxaXHqTF0xnIKKtOIDx7k9HxiAvtyPH/jee02ISASG9Qfmah0MleJcm0eJTVtr3Jet8iVlRWxfftGgoKCCPD3x9PLi+nTp9sXEpPJhFarpbKyktLSUsrLy1i96jeqa6qxWBrXr6vDarWwalX9lm7NoaKi3J53oVAo8fDwsBtLFosZvV6P0WioJ7zr4eFBgH8AwSEhBAcH4+Pjg1qtRhREjCYj1VXVFBUXUVCQT0lJCdXV1W4ZemVlJSxc+FWrnJszTp8+yenTJxt9XxAEAgICSExMpFOnaDw8PNBpdeTm5XL69GkKCwuaZRAIgoCfnx8JCQnExMTiqfHEYDRQUlJCZkYG2TnZ9pZL1dVV7Nq1hV27tiCKImq1B0qlyr7Y235LRgwGfas3NJckyaEqVRAElAolfv5+BAcFExoaip+fPx4aD2QyWxGAtkZLaVkpBQX5FBcX1yZVt6+x11qGmiiKeHp6EhwcTER4BEHBwXh5eiGTyTCZTFRWVVJYWEheXi7FxcXo9fpWq4zsoIOW0k4hUQG5qMRo1jqE28wWAzJRiUxUYrbabiI1hlKKqk4T7tsVpczDaaP4ltIzajJdwoYjE2wL2T85L01CIr1kt80QcmJM+mkiCPDsRGHV+QtReaoCbIUdTr2YkFm6r83CtyqVmtjYGPr3H8DAAYPonpJCZEQkAQEBKJXK2id+0cEDKEkSVqvVvrhotVpKS0vJzcvl5InjHDx4kEOHD5KWlkZ5eXm7eQpMJiMmU8PSEUqlktjYOIYNHcbQocNISUkhPDwCLy8v5HK5wznWnZ/ZbEan05Kfn8+RI0fY/NcmNm3axKlTpxo9TmuiVKro1bMnsgZa7pw5c5qCgoIG94uNjeW2Obdz2WUziIqKRKlUIghi7TmZKCkpYevWrXz51Rds3rzJbaMkLi6Om2++lcumTSc6uhNKpQpRFJEkqfaz0pGWdpJlfyxj4cIFpKen2/e1ydbUtFg+pSnY5EWCGTBgICMuHUm/fv2Ijo7B398fhUKBTCZzEDSu+86NRiMlJSWcOXOa7Tu2s2HDeg4c2E9FhXsFA+cLQRAICw1j+KWXMn7ceHr37kNERCQajQa5XGYP05/7+66qqiIzM4MdO3ewetVKduzcQXl5eaPHMBqNrW7YiaJI9+7dXYralpSUcPJk+0QZnCEIAt26dbf3jG2MysoKUlNTOwzhZtBOBpuEyaJHrfBBFORYsN0IdcYKVHINGqUvBvNZrS29uQal3BOZTAFtuKYpZCrkYtsqE19IFFWeolJXgJ8movFqOVFBTGDf82qwRfp3dymbYrRoySptvKlxcxBFkZiYWKZOncq0qZeRktIDX19fe9WlKwRBQBRFe+8+jUZDUFAQXbp0YcSlI+zejby8PA4c2M/adX/y11+bOX26cS2utsLX14/x48dz7TX/YuDAQfj5+bk8z3PPT622yWckJSVz+eWzqKioYPv2bXz3/besWbO6TcM+oaEhLF78G35+fvXee3neS8yb95LDa7a2W9N4+aVXiI+Pr3eOdeG2iIhIZs26gkmTJvPDwgU8//z/2aUnGkIulzP7iit55plniYmJBRwf+gRBQKlUolQq6devP3369OWmG29i3ivzWLDgu3b3Usnlcnr27MV1/7qOiRMnExUV5TTHsY66z0elUuHt7U1sbCwjR45i7oMPcTLtJIt/WcTCHxeSkZF+QS3CgiAQH5/ALTffyuWzZhEVGeVQjNPQ9uf+voODg+nbtx9zbr2N48eP8+1337Bw4Q8NdmyorrZ50Z317WwOd955Nzdcf6PTbQ4dOsjESeOprGy8J2d7EBoays8//UKnTs57k3744Qc88eRj7TSrfxbtYrBZJSuVugL8PaPwUgdRVpMFQIUuHwGRmMC+lGvzkLAiExX4eYRjlcxI0j9DRPNCwWjRkVW6Hz9NRKPbCIJApH8KB7OXOxjR7YUoyIkJ7IszzRdJkiisNT5b5ZiiSPdu3bnttju47LLpBAcHu22kuUvdeGq1mri4OGJjY7nssulUVlayd+8eXnjxebZv39Zqx2sMjUbDjOkzuffe++jRowcymesF2xl15+Xv78/EiZMYO3Yce/fu4e2332TFyhUOTdBbC1vVq6zBxbFnj54IgmA3HERR5Npr/8Ubr7+Jj4+Py3MVBAFPT09uuflWYqJjuP32OeQX1JfwUCgU3H//Azz15L/x8PBw6zMURZHo6Bjefuttojt14tXXXmkXQ10QBLp3T+HBB+cydco0fHx87K+3ZEy1Wk1K9xRSuqcwZ87tfPX1l3w6/xMKClvnumwJ3t4+zJlzG/fcfS8REY0/oLqizuhOSUnhlXmvcuMNN/HKqy+zdOlvDt9dRUWFQzeX1sBqtfLjwh+4+qpr0Gg0jW7XvXsKQ4YMZeXKFa16/KYycuQooqOjnebx1dTU8OuSxReUYX8x0U5iYhK5FceQiQoi/brZX63Q5VGhyyM5YgwD46+ma9gIBidcR4hPZ8q1eRjNzW+90kHDZJS4DiN6qQIJ9W1cVbot8dOEE+gV4zwcikR68e7awo6WERYWxvPPv8jy5auYM+c2QkNDWyS74C51T/N+fn4MGjSo1W/2DdGjRw+++3YBH330Cb1790EuV7S6UapQKBg4cBBffvk1n3z8KXFxDTd2bis6d+6Mp6en/d8jR47ilXmvuWWsnYsoiowZM5ZXXnkNDw8Ph/cEQeDmm27h6af+47axdu6+arUHDz30CDfecFOb/868vLx48IG5LPt9Odde868meYzdoW6syMhInnziKX5buoxx48Y7hFTbm8TERL795juef+4FIiNbpyNN3fXarVs35n/yGa+9+gYBAWc7dVRWVraJWOru3bvZu2+vUwNHoVBwzdXXtrp3ryko5ApmXX6F0+9dkiT2H9jHgQOtGxn5X6Ldrqr8imOkFWyhqOqsQrLJoudg9gqskoUuocMZGHc1cUEDMVp0HMlZjVVqG7XgOswWIwaztkl/RrPO5dOBJEkYzbomj+3OsVtqpFTo8imudi7dIAgisYH9z4s4cHRAb5uoshO0hlLymlEpey51C/JvS5Yx98GHCAxsmXZXS9i9Zw8HDx5ss/FlMjlXXXU1vy7+jYkTJ9XmbrXdudYZJVdeeRVLfv2N8eMmtNsCHhERSVBQEGAL0cx7+VUCAgKadb6iKDJz5uXMnn2lw+uDBw/hmWf+D7Va3ezPUaVS8eSTT5Oc3M31xs0kOjqGzz77gueff5GQkJA2/32LokjPHj359pvveeCBuahUzq/jtqB//wH8uPBnxo+f0CYGjCAIeHh4cNttt/PF518RGWnrmKHTae2q/K2JVqflhwXfOy3sEQSB0aNHt/vD0bnExccxePAQl+oJvyxaZO8z20HTaTeTXG+qYsfpH5D+VvWZVXqADce0xAcPRK3wodpQzJminRRXt61iMMChnBW1em/u46UKZFTSXchljee+ma0GNp34lCp9cQtnWB+tsbxF+1slM2eKdxPum9SoZIYgCIT6JOKpCqDa0Prn0BgKmQedAnq5vOizyw6jNzU/X0OpVHL77Xfw1JP/tudunS8sFgs//bSwzVTblUol99/3AI8//iReXu3bTk0QBBITu/Dll1/z1FNP8N3337Z5oYWXtxdxcfFkZGRwxx13kZKS0qLvV6FQ8MD9D7Ji+XKKiovw9fXl+edeaLYRWIcgCISFhXHP3fdw3/33trqkSkpKCp98/Cl9+vRt19+3rUG9L//37HOEhoTy/Av/Z6+ObWv69evHV19+TXx8QrsYp+PHT+CzTz/nlltvRqutoaqqmnDnEp3NYsXK5WRnZ9nzJBsiICCQGdNn8Pobr7X+BNxg0sTJ+Pv7O92mqKiIFStbRyD7f5V29aH+3Vire7Wg8gQFlSdoN1m4WvSmKvSmpidHN3we57wvSVQbSqjSN9zz73yTV34UrbEcT1VAo9uoFd5E+qdwvIkGbUsI8orFxyPU6TYWq4mMkj1Ot3GGWq3mySef5v77HkClci1c2tbk5uWyatXKNhlboVDwyCOP8dijj9k1vtylzotcJ64LZ3OemhJSq8tve/31/6JSq/j888/a1GhTyBUkJ3cjIyOjXsjx3HOqm9u5/21s/l26dGXylCl8/fVXXHnl1QwadEmDbb3O9by7O/aUKdN4479vcOZMy3oznktKSg++/uobkpO7Nen37fj5SEhS/fNwdzyFQsHdd98DSDz7f8+0SS7jucTFxfHRh/ObbKw19ju3DeG6CGfEiJG8+d+3uO/+exrVY2wp+fn5LF26lHvvvc9pwcSsWbP5ZP7H7V584OHhwfQZM12GQ9evX0dmZlY7zuyfxwXW/L0jEbE90BoryCk/SmLIUJeabGmFW7BY26OaTSAmqK9dmLghJEmiTJtDSXXztNeUSiVPPvEUcx+ci0LR9Opgq9WKXq+npKSEkpJiSkpKqKysxGgyIhNlaDQaAgMDCQgIJDAwEC8vLxSKxvPEJEli1cqV5OXlNet8nCGKInfccRePPvIYKpXarX2sViulpaUcPXqEAwf2czLtJAUFBVRX20I9nhpPQkJDSIhPoGfPXnRPSSE4KNhpkjHYFhNvb29efOFlaqprWPDD922adNy7d2+CAgMJCwuzFyBUV1ezYcN61q1bS3pGOoIg0KNHT2ZfMZtu3bo7XWzkcjmzZ1/JmjWrufOOOx1CbZIkUVRUxJo1q/hryxZyc3NQKBT07tWb2bOvoksX5/I0wcHBjB07lk8/nd8q5x4TE8v8+Z+5baxZrVbKy8s5diyVAwcPkJZ2kry8PGqqq7FYrKg91AQFBRMbG0vPHj3p2bMnYWHhLsONdfmMd951NwWFhbzzzlttJszs5eXFa6+94bY3tU5uJSMjg527dnDgwAGysjKprKxEkiS8PD0JCQ2lc0JnevXqTffuKfaUib+PLwgC06ZdRlFR0TkC2a2LJEks/PEHbrrp5kYlMwRBIDk5maFDhrW7F6tHSg969ujpdBuTychPP/3YLrm6rYVN87R5qRwSVtrCnrnADLYO2geJjOLdJAQPsmvQ/R1BEAj0isbPI7xdxGk9FD5E+LpeZDJK9jZL1FcURW65ZQ733/+g28Za3VN3QUE+W7ZsYd36tezbt4+8vFwqKiowm831nszrhDkD/AOIi4+nV89eDBp0Cb169SY8PByF4qzmn16v56eff2yThWzixEn8++n/uJVHZLVaSU1N5dtvv+aP5cvIzMx0Wb2oUCgID49g3Nhx3HjjTfTp09epZAKAt7c38+a9SlZ2ltNG4C1BEARmzpiJJGHXQjt2/BiPPPJQPW21FSuW8/XXX/HqK68xe/aVTo22vn368eADD9GlS1f7a1arldWrV/Hv/zxFamqqw/f4xx/L+Oabr3n33feZMGGiU8/I2DHj+OKLz1vsefTx8eG/b7xJ7169XaYVSJLEsWOpfPf9d/zxxzIyMtJdaonJ5XKCg4MZOXIUt9x8K4MGXeJSFkSlVPH4Y09w+NAh1vzZ+h1UBEHglltuZeKESS7vHXU6a7t37+KDD99n3bp1lJWVOr3+lEolUVGdmDJ5CjfddDNJScn1DDdRFLn11jlt6q0/fPgQ27ZtZdy48Y0eR6FQcM0117J6zap203gUBIHp02c4rWKVJIkTJ06ybfvWdplTSxCQ4aeMIkTdFW95KApR3Syx+pNVGygytL42XrvFIEN9EvHxCOVM0S6nC66AQIRfd6yShbyK1PaYWpPwVocwtdfTKGSNL4RGs47lh15pNdmJtkAhUzO++0MEeHZy6gE6nLOSfZm/tfl84oIGMjTxJkQnraj0pmpWHnqNymaEmkdcOoIFC37E39/fbc/DiRPH+fyLz/ntt1/JyclptmEliiKBgYH07NmLCRMmMmbMWBLiE9i3by9Tpk5uddHUuLg4fluyjM6dO7tcuMvLy/ngg/f4ZP7HFBc3L1/Rx8eHa66+lscee4Lw8HCXxzxy5DAzL59BdnbzwiPR0dFs37bLZc6MJElkZmZy5VVXcPBg45VpgYGBLPp5cYOhznPHslqt9gpiSZJYsXI5t912q9Pm6XGxcfzxxwpiY+MaHTs9PZ1hwwe3qD+mKIo89eTTPP74k069X3Xf+Xvvv8unn86nuLhxnTlneHl5cc3V1/L00/8mJCTU5Xd++PAhLps+lfz8+hIpLSE5OZk/lq0gLMz1766mppq33nqTDz78gIqK8iYfKzg4mHvuuY+777oHLy+vJhtoLW1NNXv2lXz+2Zf2h76GKC4uZsyYkZxoJyFdf/8A1q1dT9euSU6vnZfnvcSLLz7fLnNqLgrBg2TfSURp+iATbA/1zTXC95X+SJa2+ak7jdFuZYDRgX3p3ekyVPLGLXEbAt0ixtAv9nKX1YIdNB+TRU9myV6n2wiCQJR/TxQyD6fbtRRBEIkN6ueiMb0t17E5hRxBQUG8+OI8t4w1SZKorKrkrbffZNLkCbz//rtkZWW1yAtmtVopKipi7do/efzxRxkzZiRXXnUFL774fKsbawqFgieffNotYy07O4tbbrmJea+83GxjDWySBvM//YSrrr6CQ4cOOvXSCIJNDf3JJ59yuvC0BhaLhVdfnefUWAObUvzrb7zmNM+qTvut7jPNzs7myScfd2qsAZxJP8P333/ndJuQkBCXYqOuGDRwEHfffa9LYy0rK5Obbr6BV1+d12xjDWxCsZ99/inXX/8vl4K5dTpwd911T6tWC8tkMu6/7wGXxhpAVVUVDz/yEK++9kqzjDWwJc2/8MJz3Hf/PZSVlba7lti6dWs5dcq5oHlgYCDTZ8xonwkBl1xyicu8wcrKSn77bUm7zak5CIh09RlHjOdA5OLZ3OY6b/Tfcx3/nrNqe8+K0aqlzJiF1lLeJvM8f2I5jSBhxWDWolb4IHfixeqg5WSWHnDZ+svHI5Rg77YtF/dWBRPi7fyilyQrZ4p31+YGuI8gCNx22x306dvHLWMtJyeHOXNu4dln/9Pq3oC6Y5SXl7N69SrWrlvb6uOPHjWGWZdf4dJYy8/P59Y5t7By1YpWCclKksTu3bu54cbrOHr0iNPFTBRFrrryakaPHtPi4zrj6NEjLP71F7e23bRpI4ePHHZrEbZarXzx5eecPNl4z9JzWb5iudNKSbVaRUJCZ7fGagiNRsOTT/27wc4Pddi+8zxuufVmVq9e1Wrf+ea/NnPX3Xe6NFxFUeSmG2+mS5cuLT5uHd27pzB9+kyX17XRaOSll1/g+++/a3Go0FbV/SOPP/4YOp1riafWpLS0lEW/LHJ5zCtmzcbX17fN5yOKIrNmXeH0wUuSJHbs2M7x4y2TYWprvBWhdPLshyDY0iiMVi35+iOcrFpHauUKKk25AFSa8jlRtZaTVWvJqNlOqSEDi2SyeXDNxWwv/pytRR9TYjjVJvO84Aw2GxIyQdao7EQHrUOlvpDCylPOF1dBRqyLzgMtJSqgB0q5p9NtqvXFFFQ03c0fHx/PnFvnIBOdJ8ZLkkR2Tja33HIjv/++tN1yQFoTjUbDgw/OrSf0+nf0eh1PPf0EmzdvavU5HD9+nPvvv9elx06j0fDIw4+2mdSIJEn8sfwPt/tcVldXs/bPNW5tW1payqJFP7m9WJ8+fYrc3JxG3xcEkfgWaGhNnDiJS4df6tRw0ev1PP30U2zZ8lezj9MYGzdu4O133nR5zQQHB3PTTbe0mpDt9dff4NRIhdrfwR/L+PTT+a12TUuSxI8/LeSbb75qlfGactxffvmZsrLGjWNBEEhKSmLIkKFtPp+IiAhGjRzl9Pu0Wq389POP7d56r6mEqLsiF2zFWVpLCTuLv2J3yXccq1xFWtUGKmoNtmpzIccrV3OscjUHy39lW/F8dpd8R425GE95EJ29RiDgfK1pCefBInJ+sXoo/fDTRGKy6LG2S3Xi/y6SZCG9eJdTr5UgCIT7JaNRts0Tm0xUEh3Qx+k2kiSRVXawya2yBEHgxhtvJjy88VZcdeNXVlYyd+4DbP5rc5OOcSFx6aUjuOSSwS69az8v+pnFi93zPDWHbdu38c47bzldIAVBYODAQYwfP6FN5mA0Gptc2LB121a3FvW9+/aSkeG+TmR1dTVnzjgXq46MimqWIaPRaLjzjrucVihKksSvvy7ml8WLmjy+O0iSxBdffM4RNzyUM2bMJCwsrMXHDA0NY9rUaS4/s5KSEl559WV0utbtmmMymXjr7TfJyGx7vdBzSUtLY/36dS46Hyi59pprXVZvt5Qxo8cSGur8u8zOyWbt2taPJMhkMry9vfHz88PXx7eFDwECvopIwNZG80TlWkqN6Q7rokWy2SJ/L9KzSCYK9KnsLV2IwVpNuEcKnb1H0FYOjjYz2ARBRlL4KPrGzKRvzExCvONRyFSkRE2wv/b3vwFxVzI66W58PcIoqjrzP9Oa6nxqgeVVHKfG4DycoVH6Ee6b3CbHD/CMIsDT+WJlthrJKHaeb9cQoaFhzL5itsvP12q18uFHH5z3XnwtQS6Xc+MNN7msCi0qKuKtt/7bpk+8kiTx5VdfcPjwIZctdW69ZY7bsiNNoby8jJNNTLxOS0uzS5g0hiRJ/PXX5iY1brdYLE4NPEEQCHWRuN8YgwZdQv/+A5zuW1ZWyttvv9mm33lpaSnffPO1y1y2qMgoRo0a3eLjXTr8UnuXgcaQJIklS37l8OHDLT5eQ2RlZbHg++/aNSxqNpv57vvvnH6XgiAwcuRo4uMT2mweSqWSyy+f5VJ7bdWqlRQ00Iu3uYSFhnH3Xffwy6LFbFy/iW1btrN48RIHuROFQkHXrl1JSkp2S2pFRMRDZjP6TFYtxQ2EM8812BrqAFRuyiKjZgcgEOM5EE95YPNP0ulc2wgB8NNEEB80iG7hYwnwjEYmKukSeindI8Y3+JcUNooAzyhKa7I4lL2iyflKFyOCINKrZ9u7rxtDb6oip8zVk3GdRlrrP7FFB/RBJjr3DpRWZ1KmzW7y2GPGjKFTp2in29RVLX744fsXZRi0jvi4eIa7CIvVeVpOnGj7CrLS0lI++/xTly11Bg4cRM8ePVr9+Lm5uS7zqv5OaWkJpU7CTWBbMPfv39f0+eTlOr3G3K1ePhdRFLnqqqtRqxs3eG2L5iqOph5t0tjNYeXKFZSWOq90FUWRyZOntMj7I4oikyZPdjmGVlvDd99/22b6b5Ik8cviRZSXl7fJ+I2xZctfHDni3AgNDLR1PmgrEjsnMnDgIJdh+EWLfm41g3b48EtZ9vsfvPH6f5k4YRLdunUnLi6eTlFRDikvKqWKTz6az6aNmxkzZqwbIwv2AkejVYvJWr/rTJ3BJhdUjbZszNcdxSKZUIpeBCrjmn6CbtBmOmxWycKO0z9wQLGMAE0UPaIm4e/ZiZMFmxv1nFklM1X6YgoqTzSrA8GFhlKppmePIZSVFVJeUUxi516cTDtIdKdETGYjubln6JLYm4CAUPYf2AJIiKKMHimDa1/bREJ8D8rLiwgKikCpUJGZdYKAgFAsFguHDm9thZuRRHrxHjqHDG203ZYgCAR7x+OtDqFC13oir0q5hij/Hi4XqvSSPU0W75XL5Uy/bIbLqjSLxcKHH37QoirJC4ExY8cSEOBc5kKr1fLDwgVttoD9nT/+WMajjz5OtBOj2dPTk2mXTWfX7l2teuysrKwmq+vr9XpKikuc5pNptVpOn256VwJXhoyXlxcymaxJDw3BwcGMGjna6fVjMpn48aeF7fIwkpWdxaHDhxg5ovG8JkEQ6Ne3PwEBARQVNa9K1c/Pn4EDnBsLkiRx6NChNu3RCzav7P79+xjpIperNamqquLHHxfSu3cfp/e3WVfMZv6nn7idx9kUpkyZ6rSwwfb5H2Tv3taRtkhJSeGzTz8nulM0NTU1nDh5gorycoYNG15v2+qaarZs3cKgQZcwedIUVq5c0WKj0WS1FZgoZZ7IBHmDfc51lnLMkh65qMRb0fKwf0O0aQ6bJFnRGSvIKT9CVukBzBYDqblrOZj9R4N/h3NWkVGy5x9hrAEEBoSiN2hJz0glOCgStVpDZEQcPt7+HDu2l8DAMAoKs9Drz0o7iKJIcFAElZWleGp8UCnVxMenIJPJkZCIi+tGTExXvL18kclax94urXHtwVLKNHQKcK5m3VRCvDvjrQ5yuo3eVElO2aEmjx0WGuYyVARw6tQplv3xe5PHv5CQy+WMGzcBV3kTR48e4dChtl3AziU/P5+NGza4DJONHTsOT0/nRSdNQZIksrKzmnyTNhpNVFY6X9xKSkqcJn03RnV1tdP5KJXKJjcr79evPxERzvMzs7Oz2L17d5PGbS5Go5Hdu1wb3mFhYXRuQVVsYmIi4W407Vy79s82bzRuNBrZsGF9mx6jIX5b+hsFBY3rfAqCQHJSEkOHDmv1Y3t5eXHZZdNdGsy/LF5ETU3LZYtkMhkPP/Qo0Z2i2bd/H5fNmMbYcaO5+967G81N3LlzJ1arld69e7tMuZCQMFlt4yhENXKhvuNCb7G1+1KKnqhkPg2PI1mRJNvDsErWNsVU7VZ0UK7N/Z8IcZ5LaVkhGg8vYmOSQQCdrobyihIKirKxWEwUFmQRGtKJmppKvL398PH2x8vTZojJZDIUCiVmi5nCwiyKi3MpKsohKzuNrKyTFJfkYzbXt/Kbg9lqJKNkj8uFNTqgT6tp4wkIxAT2RXASZpUkya0cu4bo0bMnQUHOjUFJkli+4o8mh84uNIKCgunZo6fLG+jGjRvarRF33THX/Lkai4t2NJ0TOrd6vk1BQUGTDTar1eLy8ykrK23WIqTX653ORyaXI7qoZP47I0aMdBoWlCSJ/fv3U15W1qRxW8KRo0dcbqNSqejWPaXZx+jVq7fTMDDYPIttURHbEDt37mhSTmNrkJWV6dJzpFAouebq1i8+6N2rN926dXe6TWlpCX/88UerHC80NJSRI0ZSXVPNI48+zNatW9BqtVgsZhrT/c/OtnnYQ0ND8fR0rv0qYUVrLkOSJBSiBx7y+pEKrbkUK2bkgopAVWyD48hF9TlFCW3jbW231lQltXlpRsv/RiEBgMGgY+euPxt9v6KylO07ViGTyYmKTKgV5hSpqi5HoVCSl5/JmfT26faQVXqIlMiJqBUN96oD8POMIMArmsJK9/SnnKFR+hPu17g6NtjC6rYq1qa7swcOHOTSY2E0Glm5cnm7C2C2NomJiQQHBzvdxmKxsHXrlnaa0Vn27dtLZUUlAQEBjW7j6elJv379Ws37J0kSJc0McbsKoxYXFzfrQamujVljiIKIKLp/k1epVAwcMNDldrv37HZpMLcm2dlZGI1Gp8UvNu9P84uYevfq5dJzXlZWxvETx5t9jKaQduoUFRUVLq/B1sRqtbJgwXdcddXVjbaFEgSBkaNGkZCQ0Gp5q4IgMHPm5S7zJjdu3Eh6uvPKaHcJD4/A39+fU6fSOHBgv1v7VNdUYzab0Xh4oJC7EuiWKDdlE0VfROQEquIoMzoWCWktJegtlWhkAcR4DiJfdxSD1bFAKVidiEK0SSoZLG0TJWw3D5veVMnx/I2YLPUT+v7XsVjMZGQe5/SZo5w6fZgdO1ezffsqh1BpW1OtLya/4oRzL4CgIKaVNNnC/ZLxUDTsWq6jTieuqchkMpf9FAHy8vM4cqTtk7Hbmh49erjsGlBZWcnxdig2+Dt5eXnk5DgPtwuCQN++/VotB0iSJMqbqWbvKteruQr3rvIGm3rqdQ3ZXWlgpbZDscG5lJWVuVWNGh0T3ayuB0qlkoTOiS63y8rKbDfPeVlZKXl5rZfb6y579u5h717nkZHAgEBmTJ/ZascMDAx02hsXbA8nP/38Y6vlTSoUCmQyGVqdzu1KZ6VCiSiKmExmtx5YSgxnsEhGW8W2Ohnxb/IdRqvOXj3qq4iiT8BVBKoSUIs+aGQBRGsGkOQzHhCQJCvlxqYXyblDhzLtBYjF4t6PrDWRsJJevNseg28QASL9uqOWtyw+Lwpyl4afJElklex32YmhITw9PYmNjXW53bHU1Ga3qblQsAlluvZWFBUVUljY/r1t9Xo9aWlpLsPtyUnJTc7hagxJkprdr9GVN7eysuqC8MhGRUXh79+41xJAp9ORk9O4YG9bUFOjdcsDGRQY1KzWZGq1msiISJfbpaenN7nopLno9XpycttmgXaGTqdjwYLvXVZiz2rFzgfDhg0nJibW6TanTqXxVyvqWVZUVKDT6QgMDMTHx/lDfh1JScl4eHiQn5/nVgpDtamQclM2kiThowjDW/53b6lEZs0uzJLN4RSs6sIlQbcwIvRBLg25n17+s1CJtuhUjaWUYoPzFmLNpd1ConWIggy1whuFTO20d6TJaqTG0PxmyB00nYLKE1QZivFRhzT4BCUg4KUOJNQ3kQwXfUidYWt31XgzbKjtdVradPkEAB8fX4KDQ5xuI0kSqalHWy0P8HwhiiJxcfEuvVNZ2dnttoCdi8Vi4cwZ11WV4REReHl5UdZK+VZtlaun1dZcEAZbfFy8SwPXbDYTGxvrMt+rNQkJDkEmc+0H8PbxQS6XN/k36evrh6+v60XbVX/T1sRisZCXm9sux/o7K1auIDMzk7i4xmUkkmqLD5Yvb1lOmUwmY9blV7jMm/x92e+tdh2DLcyenp5OUlISkydN4bvvv3X63fr6+nLLzbcgiiJbtmxxSzTZitlmkFmNZNbspMpUWG+bcmMWp6u3kOg9ClGQIUOBTHb2oUOSJCySkeMVazBY2yYk2q4GW5hPV1Iix+PnGYVcVDpdZAoqTrLu2Ic0llTYQetjMNeQXXqAbhHjGt1GQCQmsB+ZJfubXUTSKcB5Q3lJkiiuTqdc27wwQ0hIiMv2TIDbvSAvZNRqNSEucmfq+ki2d2J0HdnZrr0P/n7++Pr6tsqN3mq1tolxKknSeTF6GyKqUyeXIUVfX18WfL+wXQ1MQRDcSnL3UKtdtotrCD8/P5fXtiRJ5LZziNJZxWbbHjefpUuXcP/9Dza6nioUCq655lpWr17VogfU6E7RLrUeq6ur+fXXxa36m6uqquKbb7/mlXmv8uKLL6FUKlm69DeH35kgCKhUKhITE3nisSe59NIRFBcX8+1337g9lxztfnK1B7DScHRLwsrJqvVYJBNxXkNQi97URYkkrFSbizhRuZY8XdtV4rebwRboFcPwLreiVnhjsugwmJ2XuRvM7Ze/1cFZMkr20iVsBApZw0nDgiAQ6pOIlyqQKkPTdZTkooroAFf5ZRLpxbsb1Lpxh8CAAJfhFovFQm7e+Xkqbk3UajU+Pq7DHUWFzdO8ag0KCm0Vm86+cw8PD3zdOA93sFqtbeY5vVA8suFh4S69qoIgtFqYubWRyeQITSiyqMPb2xul0nmlutVqpbSkfaMzJeep0lySJH78cSE333xro+FCQRAYOWIU8fEJnGhBIca48eOdFlZIksTu3bs46kalcFP5+uuvGDRoEJfPnMU7b7/LIw8/Sl5eLh4eGkRRxocffkxoSAhJScn4+fmh0+uY98rLHDrsviSUhNWle8gqmUirWk+Odh9+yk6oZT5YJQs15mIqTLmYrG1bhd9OV7NAYshQ1Apv0ot3cShnJVpjhdN8KUmy0OFda3/KtDmUVGcQ6pPY6IKgVngT6d+dY/kbmjx+oFc0fhrn2lFaYwW55c1Plvb19XO5UJlMJsoucjkPsCVhu6NhVl7eftIOf6eiosLlU65MJnPZyNtdrFZrm6rbn28EQSAwsG1a37QXzS0wsQkMO/csSpKVyqrKZo3fXKqrqlw+lLQVR44cYevWLU6LAQICApg5YyavvvZKs46hUqmYOXOWyyKXn3/+qU280FXVVdz/wH3k5ORw4w03Ehsbay+6USgUzJg+w35tZmdnMe+VeXz73Tdtdh/QWcrR6crbZGxntIvBJgoy/D2j0Jkq2JuxhBrjxb9Q/lOxWE2kl+wh1KczzooCYgL7crJwSxM7EAjEBPZDFBr/2UmSRG75EbTG8iaM64iXt+uiCIvFQpWLvpEXA0ql0q1+ea0hYNlc9Ho9VqvVaahMEAQ8PVtHbFKSJOfFMy0Zu01GbTruJl//07BJWLjqDSy1q94ggN6gP28Gm9Fk5Lvvv2XMmLGNRhZEUWTWrCv4+JOPmtX5ICkpmX59+zo9v7y8PFavWdXksd2lrKyMp//9FN99/x1TJk9h4MBBREZEoFZ7oNNpyczKYvPmTfy+7HcyMzMuiIer1qbd/OUyUYHeVIXe/M/oYvBPJqfsMLqoyWiUDYeoBEEgwCsaP48ISmoab2r9d9QKLyL9u7vQXjOTXryHliyNajeaibdVnlN7o1Ao3AotGU1t1/jbFWazyQ1ZCwGFsulVg43xD7xX2xEEoV0LCS4klArXDydAmza6bwizyXReDYT169dxMu0k3ZK7NbpN165JDBs6nD+WL2vy+JdNuwwvr8Y1OiVJYs2a1W0ub2KxWDh8+BCHDx9CLpfb7n+CgNUqYTIZL+p+0O7QLrIekmSlxlCKUubRakr5HbQdWkMZeRXHnN6A5KKK6MDeTRo31KcLnirnUgTl2jyKq1smuOiusre1naVT2gJBEJxWW9chWc/fYiJJ7oUSm6PL9b+IIAiIraxef7Hg3m9Eard+uXVYz+P1BVBaWuqy0bpCoeCaa69tcl6jj48PU6dOc7qNwWDg50U/tevnbjab0el0aLVa9HrdP95Yg/Yy2LCSUbIXtcLb1o6ojdo2dNA6SFhJL9qFVXJ+AUQF9EQpc972ow4BkdigfghOfnKSJJFZuq/F4sru3jSa2groQsRisbhlDLV2e5qmIIqiW6Eii/mff8NtDSRJQmpng+RCwT19SqHdjf/mdGNpbRYvXkRpaePFFnXFBwkJTWsD17//ALp27droNSxJEkePHnGrj+zFglxQ4SkPwl8ZQ5Cqc5P/6jTZWn1ebTJqA2SU7CXYO4E+0dPxVgeRWbofraEMi9RwyxarZMH0P9TG6kKjqOoUlboC/D0bFqkUBAEftU1PLafcdVWQpyrAaSEDgNGiI6vkQLPnbB/HjfCfKIqo3Mj9utAxGt0LA5zPEJqyVqncGZIkoTd0dEFxB0mS3JJoSU9P55NPPsJ0gVS2nktVVaVb+lh/x2R0L2e2OaK8LeF85K79nbS0NNauW8vsK65sdD7+/v7MmHE5r746z60xRVHk8pmzXFbm/rpkMVXVbZfupFarMZlMbnvR6kKlpiaGqtWiDzFegwhXp+Ah96vtDdr073Z/2c9ka5uvVdoY7WawxQb2J9ArGoXcg24R4+gaPgqzxdBocnBhVRobj3/KhZPm+7+F0aIjq3Q/fpqIRi9+UZARE9SPnPKjuPqewv2SUTnpkCBJEkWVp6jUt1zPqNqNYgKZTIanV+skuZ9PjEYjOp0Of//6DYvPxfs8JqlrPD1dejysVivVbXjD/6fhzm+8rKyMT+Z/3CzD6ELFHeFiQRAa7a/ZVigVznVF2wOLxcL333/H9MtmNNrLVRRFZl1+BR9//KFbxQchISGMHTvO6bmVlZXx++9Lmz1vVwiCwP89+xwR4RF88NEH7Nix3en2crmcl1+aR6+evXjr7TdZsXKFW8fxlofRJ+AqfBWNr3luz7mNoojt5jf29QjFWxWMyazDaNZisRgREBAFWSN/Hfks55uMEufhSUEQCPdNxqOR4oQ6REFGp4CeTreRsHKm2HUY1h0qKytdhkXlcrlLI+diwGAwUOWGhEGgk+brbU1AQKDLG6DFYqG8rLx9JnSRI0mSW30yPT09z2sovC2oqq52eW2LooiPd/s+oGg0mvNusAFs3brFpfZY165dGTZ0uFvjjbh0JJGRjbcCkySJv7b8xalTTe/57C5eXl5MGD+BK66YTe9evV1ubzabqa6qYvjwS7nyyqvd+l7kgooe/tMdjDVJsmKxGjFZ9U3+s7ZRlXq7edgO56ziWP5Gt7e3Wk10eNfOLxW6fIqrzxDum9zoj16j9CXcpyuni3c0Oo6nKoAgL2eNqiVqDGXkVxxrhVnbEnBNJiMyJ90U5HI54WHhrXK884lOq3Nr8Q4JCUUUxXZPxgYIDwtzuU11dTWVzez/+b9IfkG+SxkJb29vPD293PLGXSxUVVVhMBichjxFUSSgnXXq/Pz8LgiDrbq6mh8X/kDfPn0b9WrXdT5YtXqlUyFouVzO5bOct6Iym838/NOPbSooHRISSlhYGFqtlq3btrq1z67du7FYLHTv1g2NRuNS1ihY3YUApW2NkiSJMmMmmTU7a8VwdU3OUTRa20ZGqd3cWEaLDq2xzO0/vfmfc5O5WLFKZs4U78a54SwQHdQHwYlHNNw3CZW8cXFXSaqVEjG1zoJdWFiAXu9asqNzYmKrHO98YjKbyMrKcrqNIAhERES0e15P3bE7RUe73K6srJTKyqbrQ/2vkpmZ6TI06OnpedEL7P6d8vIyt0K8ERHOxblbm+AQ572L25Olvy8lP79xeQ1BEBg5cqTL4oO4uDiGDhni1BDNyEhnw8YNzZ2qW/j7+6HReFJSUuK2bEhOrq13cmBQEBoP1+HxEHVXBEQkSaLQcJydJV+Rqd1FhSkHraUUnaWsSX8WqW1kZTrijh04Ja/8KFpj4wupIAiEeCfgpWp4YRAEGVH+PXGWuGmRbGK9reVRLS8vp8RFaxpBEOiW3O2iDxlJksTx48ddLt4REZF4nYecPZlMRkJ8ghvN6bPaXez0Yub06VMuvRoajYZoN4zli4mKigrKy8udbiMIArExzjz6rU97G4jOyM7OYsWKFU7vCf7+AVw2bbrTcSZOmIS/f+OpFJIk8ccff1BSUtzsubqDQqFEJpOhN+gxGt3TztTpbDIfKqUKmdz5PV5Ahpc82Kbnhpm0yg1t5iFrKe1usMlFFRF+3enVaRqDE65jUPw1eCh8z3lfiUruhShc3AtpcypLLkRsbaKOOL34VXJPwn2TG3zPU+lPkLfzm2dZTQ6l1e4L8LqiqqqKzEzX4yV364avb+v0rzyfHD58yGX1VGBgIFFRndppRmfx8fEhLi7e6TY2WYCjF0yfzouBjIwMl4aLTCajZw/nuaMXG3q9nuycbJfbxcXFoXJDQLs1UKlUREVGtcux3MFqtbJgwXdOPZGCIDDz8ll4ezcsP6FWezB9+gyn922tVssvixe1uWCwQa/HZDLh5enldjGJt7c3crncrSp6AQGFaPutGCxVVJlbXvjWVrSrweaniWBU0l2MSrqLnlGTSQwdRlzQQJTys7lGkf4pTOrxGLFB/dtzak3ACi4SCgVB+AcVTbhuxC4IAp0CejVoZIf5dnERDpXIKNmL2dp6LmSz2czBQwdde53CI0hKatjQvBAI1MSiqM3DC9TENKp5dzT1KFUu8r88PDzo2bNXq8/RFTExsYS5yGGTJIm9e1u/BP6fTGFhAenprgWmL7lk8AXbAL45mEwm0k6e+H/2zjo+ijt/4++ZdcnG3UMIBHdtodBCKaVGvb26XfWu7ld3u15/V7mruwtVWiju7sTddbOu8/tjk4UQ2U1IAu3x9MWLMjs7853Zkef7kecJuF5ycgqRkQPTaKPX60lOProimVu3bWXz5q510QRBIHtoNhMmTOz08+yhQxk1anS3hG3rtq3s2rXzsMcaCDW1NRhbjERFRTFixMigvjNh/ETUajU1NdVB2fK1NQl4JFe377ojjQFjFVplGMcNvoLY0CzM9jqK6zfTbK3ssF6TpQK1Qk9K5LhuRVaPFLySN2AHiCDI/lSODvXmYpqt3dUOCETqU9EdkhYVEEmKGNVtfZvDbaa88fC11w7Fxg0bAs6sVCoV87oxTD6SUMlDSA4bTUrYWFLCxpJgGN7leayoKCcvL69bgioIAjNnzBhwQdGpU6ei0XTd/AG+rt7t27cN0Ij+HHA4HKzfsD7gbz569BjiYgM3ffyRsH379oCTsfDwcLKHdm3T1JdISUk96moF7XY7H3/8UbfPQJVKxcIuDN3nnTK/2xIKr9fLl19+jt3e/9qJtbW17Ni+HaVSya1/u5WIAB3vKSkpXHPNtQiCwLr16wLWPEp4cXhakCQJmaBEFAa+1jdYDNjTe1D0VMK0ieRWr+SX3S+wKu8tqo0dZ0pWZzMWZxOhmljksqOP9Hi87oDRIJkgR6f640tGtMHlsVPasC1gWjQudEi7ZVpVGNH69C6/I0kSNcY8TI6+r4HYtn0rTU1N3a4jCAILFpx2VMp7uD12jPYaLM4mLM5GChs34OiiEcdms7F8xbJutycIAtOmTScyMqo/htspFAoFc+fOC0gSc3L2B5XCPoYDkCSJ339fGjCNHBsby6zZswdoVAOD7Tu2B3wJy+VyZsyYMSDjGTdu/IDrvgWDXxb/QklJ1/eVIAicdNJJREdHt1uu1Wo5Zd4p3U5ka2pq+OWXX/psrN3B5XLx1ttvYbfbmTVrNu+8/R7HTT+uNe3pE+VWKBSEhYVx8tyT+eD9jxg+bDhNTU189NGHAcm9hJdGp+88qWR6QuTR3a5/JDEghE0UZMSFDsHuamF3xeIuXzzgC0k6XGZUch1y8ehTond7HDjdgYujo/Rp/T+YAURp43acnu6POyl8RLsoUExIJmpFN4bBrdprXYknHw7Ky8vZvr17kgkwePBgTjllfp/v/3DhkVyUNG2iyVZGi6MWm6u52/V/+eWngC+xpKTkAXuJAQzOHMykiZO6XcdnGv3bn0rcdaCwefNmSktLu11HFEUuuvDigFHOPxIKCwsCdkYDnHjinH5vtJHJZMw+SglxbW0N3333TbfPwKSkZKZNnd5u2dAhQ8nuxkRekiSW/r6E8vLAv0Ff4ZfFP/PW22/i9XqZO2cui777gZXLV/PNV9/wycef8u3X37FqxRo++/QLJk2chMPh4PkXnmNbkJH7KttunF4zInLS9NOP2ijbAEXYBFQKPXaXqVuyBoDU5ssmHJV1+x6vC4sjsO5VfFi2v/7ozwCTvZbaloIub35BEIjUp/kbSAQEksJH0t2PaLbXU9OS1x/DxeVy8d2ibwMSNplMzk033nLUpTQAQtXxDIuZQ0rYOBIMw1HKuq4F3LFjBzsD1JPI5XIuu/TyASnGFgSBCy68iLCwsG7XM5lM/PjT9/0+nj8jGhsb+OmnHwOmRadMmcrsWScO4Mj6F0ajkXXr1gY87uzsbCYGmDAcLhITk5g6pXvpiyMFSZL47PPPaGnpWlhbJpOxYMFp7aLgJ540B52u62eN0+nkiy8G1ujd6XTy0MP/4PEnHqOmpga1Ws3QoUOZM2cup592BieeeBKZmZkolUpKy0q56+47+L9/vxL0GM3uWvJMy/HiIV4znGzDPJRi1+fgSGGACJuEy2NDIVMjCxA1U8jVaJXhONxm3J7+0TI5HEh4abSWB3xYhGriWwnLnwNeyUNx/aZuBQTVCr0/sqhShBAdktGtYXBZ487ABP4wsHjxYiorO9ZJHgxBEBg5ciQ33HDTUSfxoVdGUdmyB5BQybrvnLZarXz88Yfd1qwIgsBxxx3PrFmz+mG07TFo0CAuuvDibteRJIl169ayd+/efh/PnxGSJPHJpx93+0IGX63S3ffcS1TUwKXD+xOSJPHjTz8ETAer1WquuPzKftUfPP2004mNje237R8u9u7dw5o1q7udaE+ffpy/VEKlUjHnpDldbq9NRmjD+u7tofoDFouFZ597hhPnzOa2O27lk08/YeXKFazfsJ4VK5bz4UcfcNPNN3LSnNn8983/4nT2jD8Um9eS0/IbXslDhn4606KvJSvkJKJUg9DLo1HLQlGJIUH96a8I3YC0D3klD3WmQrLjTyQ5fBQFdevpXHNLIDViLCGqSArrN3Zri3QkUduSh5QwB0Ho+vSJgoxRyfNpMJf0iT/m0YAqYw4WRyMh6s4f/AIicaFDKG3cRqQ+Fa0yrMttub1OShr6tzOwoqKcr7/5iptvuqXbGbAoitx4w01s376tXz3xeoo6SyGZkdPQKiOoNecFJLffffctN95wM1lZWV0er1qt5t577mPTpo0Btep6C6VSye2330lCQveefE6nk7fefrPHD9ZjOIDdu3fxyy8/c95553d5rgVBYNzYcdx11z088MB9f4rzvW7dWgqLCska3PW1LggC8+adwtSp01i5MniXnWARExPDlVdedVRG19rgcrn48KMPmDNnbpfENSEhgTFjxvDbb7+SkpLC8OEjuj2m7777BuMRErn2er0UFORTUJDPG2+8jiiKyGQyPB4PXq+31xIjkaoM4tUjCFHEIgCCIBIij2OIIQ4JLx7JiVfyBO14sLt5EZW2vm+mG7Cmg4LaddhdJiakncOY5NOI1KeikKkRBAG1wkCELoUxyacxLm0hTo+N3OqVHK3WVA3mUsyOxoBRNoM6lumDLydce/Ro9BwO7K4WKpp2dTtbiw7JaNXay+6yq1GSJBotpTRZA+spHQ4kSeLtt9+kpqZ7wiwIAgaDgX++9DKzZs0+ah7AEl6MjhrqzAV4vG5Esfv5VW1tLW+88VrAKNv48RO45577UCr7vkZUEAQuuOBCzg/g4SdJEuvWr+P335f2+Rj+l+ByuXjl//4VsMFGJpNxzdXXcv1fbzgijhd9jcbGRr7+6suA6+n1eh76x8MBOwt7CplMxo033MSQIUOPmudFV1i+fBm5uTldfq5QKDjhBF/UffKkKYSGda1NaTQa+e67b/t6iL2CJEl4PB6/1trh6MElaEaREXIc0erB/iygIAitEl0yFKIGlUyPWhYS1B9ZN8Gcw8GAETajrZoNhZ/g9joYmXQKJw+/ndSo8chFFTOHXMPJI25nZNIpSJLEluKvqO9DIdW+hsNtprRxe8D1BEEgSp/Gidk3MSppPgZ1LGKQP6QoyFDI1KgVIRg0scQYMkkMHxH09/sLxfVb8HhdXX4eoo7CoIklNmRwt96hJQG201fIy8vjnXfeCljLIAgC8fEJvPXWO5x77nnI5QPzUhNFscuC8AhNMkpRjdXVhMNtCqo545NPP2bz5k3dPrxkMhlXX3UNN910c5++vAVB4JR583ni8ScDFrlbrVZeeOG5oDSSjqF7bNu2lXffeyfgNa5SqfjHPx7mzjvu6rZGqa+hVquZPHkKf//7bX3WTSlJEh9/8jG1tbXdricIApMnT+HBBx9Cre6bmmJBEDjrrIVcf/0NRz1ZA2hqauLLr77o8voQBIEpk6eg0WiYMXNmlxqibSUMuUHo4P3xICFJffenvzCgb//ypp2Y9taSFTuD+LChvgJ10YsoyLG7TNSa8smpWkG9uZijNbrWhvzatQyKnoxG2b1SviAIaJShjE4+jez4EzHaqmi2VmF1NuP2OJCQEAUZcpkShUyNUq5FJde3/q1F2dotKxMV2JxGftj5JM4jqAjfFhmL0qd3+rCSy1Qkho9A30XaFMDuMlHetLs/h+mH1+vltddf5eSTT2Hs2LHdPmAFQSAuNo7XXn2D44+fwUsvvUBRUVGf34AymYyYmFimTJ7CGWecyf6c/Tz99JOdjEdErQhFQsIreRBtZQFFHZubm3n4kYf49NPPCQsN63I9tVrNA/f/g7CwcF544TmMxsNLcSiVSi644EIef+zJgNIhXq+Xjz/5iOXLu5ciOYbg4PV6efmfLzFzxkzGjRvfbYpQo9Fw7733M3bsOB5/4jF27drZL8XjarWa9PQM5syZy2kLTmPs2HGUlZfx9ttv9dk+Cgry+ejjD/n7327tVjpGFEWuvOIqHHYHjz/xKGZz7+tm5XI5Z599Ds8/9wJ6fcgfgrABfP3VV9xww01ER3UuWZGZmUlaWjrjx03o8pg8Hg+ff/4ZLlf/T7QDQRTFoM69JElBXd/F5g3U2vuuAc7oquizbR2MAQ/XGG3VbCr+AoVMhVoRgkxU4JU8OFwWnG4rEgPXeXI4aLHVkFO9glHJCwK6GrRdWCqFjhhFJjGGzF7t82h4OLi9TkrqtxLVhb6agEh2/CwUss47ESVJosq4P6hO275CXV0d9z9wLx99+Anh4eEBSZtWq+WqK69m3snz+Oyzz/jiy8/IycnptUikTCbDYDCQlpbOpEmTmTlzJhMnTCIuLhaZTM6rr/270++5PHZkohyVXIfH60EIsm169epVvPLKv7j3nvu6VbnXaDTc+vfbmDBhAk899SQbNqzvcX2TKIpkZQ3h1ltv49xzzkOtVgdMhe7avYunn37qmBVVH6K2rpa77r6TTz7+lOjomG5Jm1wu59RTFzBlylS+/vorPvzoA/bs2X1YXq5qtZqoqCiGDs1m+rTpzJhxAsOGZWMwhPrJVF8/vSRJ4vXXX+P0005n0KDMbo9ZqVRy4403kZ6RzqOPPsK+fXt7RFQFQSAlJYWbb/obl112+RHx5T0cFBQW8PvSpV3WOhoMoUyffhzJyV3b15WVlbFs+e/9OcxuodFoOP644znhhFmkJKegUqkCXlQ7d+7k8SceCzjpNrmrMbmr+3C0/YMjlF+TcHnsR21TQXCQ2Fe1jKiQDBLDhh8VZGqgUNa0kxFJJ3eqsearSexGe03yUFy/ecCJ+cqVK3js8Ud46slnUKlUAX8vQRBISkrmtttu55prr2Xvnj2sXbuWrdu2UFhYSH19HTabHbfbhST5iItcLkOlUhESYiAuLo6kpCSGDs0me2g2Q4YMJTY21p8SCuZ6MTvr2VezBLfXZ3gcbMGrx+PhX//6J9lDs1m48Oxuow9yuZwTZs5i4oRJrFq1ks+/+Iz169dRXV2N0+ns8FJre+FHRkYyetQYzjprIfPnzycqKjrgMUmSRG1tLbfffiuVlf0zA/1fxrp1a7n33nt4+eVXAhIKQRCIiorimmuu5eKLL2bf/v2sXr2KrVu3kJ+fT319PXa7DbfbjSRJvuJuUYZSpUSr1RIVGUV8QgKpqWkMyx5GVlYWaWnphIeHI5fLB+x5WFZWyhNPPs5rr76BWt29XI1cLue0BaczZfJUvvrqS7748nP27t2LydTSIZUlCAIymYzw8AiGDRvGggWnceYZZ5GQkNDhfpIkicLCAqKjozEYjk5vYo/Hw4cffcCZZ57ZqayPSqXi0ksu6zJlLUkSP//yU8AUdH8hKiqKf774MqeddjpKpTLo60urOfoEjQ8Hfx6TuSMAl8fGhsKPOX7wlUSHDPqfIW1mez3VxlzSosb3+LstrXpuAw2v18vbb79FTHQMt99+Z9AF94IgYAgxMGXKVCZPnoLX68XpdGC12bCYLTicDiSvhEwmQ6lUoNXqUKvVKBQKf31Yb6+LSG0qTbYKXM6eT2zMZjN33Hk7kZGRnHDCrIBRRb1ez7x5pzB37sk0NTVRUlJMUXER1dXVmM1mJK8XjVZLdFQ0aWlppKWlEx0djUKhCDo10dLSwp133s7atWt6fDzHEBg+3a1PCQsL49FHH0er1QY1MdHp9EwYP4Hx48a3Xt9ObDYbZrMZl8tH2mUyGXK5Ao1Gg0ajQS6Xo1Aogk5N9Se+/vorpk2bzlVXXh3QVUMQBGJiYvjrX6/n8suvoKyslLy8PEpLSzG2GBEAtUZDVFQUKckppKamERsb2yVJkCSJqqpKrrzych597AlmzpjZT0d5+Fi3bh07d+7sVJtOEAQmTuzcVxR8bipffflFvxu9dwZRFLn9tjtZuPBsAGpqqikoKKDFZAo4nh07tg/ACAcOA0rYBEFGhC6JKH06GoWhW49Js72evNrVAzi63sHiaGRV7ltMTD+fpIiRCIIYdOrqjwoJL8X1m0mJGIMoBq9dJkkSpY07Ajom9BecTifPPPsMkgS33npbwPTdoWibdWs0WjQaLZER/Su2a3ebGRI1E5OzHq/kpqRpiz/aFgxqaqr56/XX8t//vMXxx88I6uUtk8mIiooiKiqK8eMnHO4hAG1kzchdd9/JV19/eUQe+v8r8Hg8/Oe/b+B2u3n00ccxGAxBX+MHrm8fKevrzsr+gtPp5NFHHiYjI4PZs04M6njb6vmysoaQlTUk4PqdQZIkzGYz9953D5u3bGbfvr3MCOI+O1KwWMx8+uknjB8/oceewjt37mD7ESI/kZFRLDxrIeAj5w8+9CDl5WVBpbT7uwlgoDFghE0uKhmbehaZMVODMkavbsklr3YNR3vzAYDF2cTqvHfIjJ3OsPgT0akijtqbtq9Q05KLyVFHqCZ4Y2mfJ2n/aq8FgsNh5+lnnqS6uop//ONhIiMjj9rfymirJMfV2gwgSb3qqi0tLeXyKy7lpZdeZsGppw24OLAkSVRXV3PHnbfx7bffDKg6+v8q3G43b771X6qqq3j2medJTU09aq/xvkJ9Qz033nA9b7/9LlOnDozzgNVq5eFH/sFXX32J1+tl7949SJJ0VJ/r739YxK233U5SYvBSU16vl6+++vKwahwPB0mJicTExFBXV8s/HnqQoqLCAdmvTFAQoogjXJlCiDwGlahHEOR4JCcOjwmTu5omZylmVz1eBqYed8AIW2rUBIbEzsDtdVLWuAOjrbrbjjezvYE/Allrg9vrYH/V75Q1bicjejKpkeMI1cT5ZTh6ehMfmBVIuL1ObE4jtS35eAdACiMYONwWyht3YkgIXuW73lxMs7WqH0cVHFwuF2++9V/27d/HE088xfhx4486lwOAEFWMTx4FEQmJvPpVPYqwtaGqqorrrruGO++4m+uu+ys6nW5AXiper5ctW7Zw5123s3Hjhj/VTPdoh9fr5fvvF1FQkM/jjz3JSSfNGdDaskMxEL99SWkJV1x5Ga+88ionzj6x39K1kiRhNBp56OF/8Pbbb/p1D/fv34/b7e4XfcO+QkVFBT//9BNXX31N0Oemvr6On37+sZ9H1jXUGg0KhYLyigrKK/pXuxNARE6cZhjp+umEKhKRCQp8p+rA+Wq7nt2Sg0ZnCYWmVdQ78vu9NntACJuASErEaCS8bCz6lKK6TX+YbtCewuJoZFf5z+yvWka4NokYwyAi9WkY1NGoFHrkohJRkPtTpxISkuTBK3nweF24PA7srhYsjkZa7LU0Wysx2mqwOppwemwcTSR2X9Xv1JmKgl6/xV4TUJZioCBJEqtXr2LhwjO4+upruebqawMq8/fXONyuzs+J0V6N1dWEIIikhI1FJihw03PCBj7By4cf+Qdr1q7mHw8+zMiRI/v1hdbU1MS7773DP//5InV1dX2+j2MIDnv37uWSSy/mggsu5Jab/05mZmaP02GHgzZx08LCQj744H1stv6N0pSWlnLF5Zdy9z33cuUVV/X55ESSJPLycrnn3rtZvPiXdhHj0tISjEYj0dGdS2ccDWiT1LnooouD0uKTJInly5dTUnLkdFEtFjMOhwOxVci2P6EUtWSHzidJOw4RWbedxwAKQU2MKotIZRrFlnXktCzBI/Wfk8jAEDZBRKsMx+xopKxx55+WrB0Ml8dOrSmfWlM+AgIyUYFCpkYh0yCTKREFsTVy4sXrbSVrXgdujx2P141X8nA0kbPOYHU2U9q47UgP47DQ0NDAs88+zRdffMYll1zGueecR2pqKjJZ1zfr4UKSJBwOB/n5eXz77Td8+NGHna6nVYYSpk70dd7KQzjc68HtdvPzzz+xadNGLvnLpVx55VWkp2f0WXRRkiSam5v55Zef+b9/v8L27duOpUCPAlgsFt56601+/PFHLrzwQv5y8SUMHpzVbxG3NpJWX1/P2nVr+Pabb1i2/Hfq6+v7fF+dobGpkfvvv5ffly7lrrvuYeLEiYd9rG1Rtc+/+IwXX3iektKOBKa+vp7q6qqjmrABbN++jU2bNvrdDbqDy+Xi8y8+69Y9pb9RVlpGeXkZyckppKSkktdPwr1yQc2osIXEa0YiCIJPw01y4/CYsXtbcHlteCUPMkGBQtSikRlQiFoEROSiigz9DERBwd7mH/stRTpgKVGv5MHrJyL/W5Ba05purxObq3uj5mMYePja8gt59NGHee21fzNz5gmctuB0Jk2eTFxsnD/F0ZsHflvo3OPx0NzcTH5+HqvXrGbJkt/Ytm0bLd148rk8dmwuI4Igo96yGoenb1wB6uvreemfL/LxJx8xf/6pnHPOeYwdM5bQ0FC/HUtPjs1ms5Kfn89PP//E119/yb59+/pVY02SwCt5uySDvuW9I7cBhTZ7mdpr226XYx6AlGF1dRUvvfQi7777DscfP4MzzzyLqVOmER8f3+trvO0a8Hq9mEwmSktL2LJlC0t/X8LGjRuorKw8Ii97t9vN4l9/Ye26NZw8dx6XXnoZEydO8jdhBNvZ7PF4qKqq4pfFP/Puu2+zY8eOLo/HZrORl5fH8OEjOv3c6z06JuB2u52PPv6I448/HpmsawogSRL5+flHvKu7qbmJd959m0cffZy777qb22+/rR+8TAUGhRxPvMb323m8Tqrseyi1bMbkqvKRtdZAk89rVI5K1BGuTCFVN5lIVQaiICNVN5lmZxnl1v6p1RYYkDCOwOSMC0mNHMcvu5+nxXb0C9Qdw/82RFEkMjKSIUOGMnbsOIYPH05GegaxsbHo9XrUag1KpRKZTOZ/GbvdbhwOOzabHZOphdraWkpKisnLy2PP3j3k5eZSXVMdtACvWm4gI3IKMkGBxdlAUePGfolOK5VK0tPSmThpEpMmTmbEyJEkxCe0dguq/Q91t9uN3W7HbDZRW1tLXl4eW7dtZdOmjeTm5mAymfpkPHK5ks7ep16vF4/HjVqlZuKkSV2KAns8HrZs2YLF0nNF+2HDhhMb23VdZlFREcXFwZcBtCEqKooRI0Z2SRSsViubN28aUHIjiiIREZFkZ2czftx4RowYyaBBg4iKivZd4xo1CrlPuqPt3DscPskPi8VMbW0tZeVl5OXm+q7vvDwqKsqxWq1HXb2iUqlk0KBBTJ9+HJMnTyF7aDbR0THo9XpUKhWiKOLxeLDbbbS0tFBRWcmunTtYtXoVGzZsoKamOqhocVbWEBITEzv9zGKxsGXL5iMarWpDXFwcK5avJiUlpct1JEnimWef5pFHHhrAkXUOvV7PE48/yeWXXcHGjRt4/8P3/RNej6frCZrD4QgqsquTRzE9+nrUshDcXge7mxdRZt2KRODfSiYoyQo5kUEhMxAQaXFVsbbuDVySraeHGRADRNggQpfM7KE3UmsqYFPx59icfc2Qj+EY+g9tgrFqtQa9vk1rTYlMJvoiPl4PbrcHh8OB3W7HarXgcrkOy5Q4OXQ0LY5aWuw1pEdMpqplLzZ3/943cbFJXHfdg8TExPH9D+9RULALuUyOBHjcbuwOO2azGYvFgsvlDsrftCcwGMK5/bbnCA3tKCmxb99W/vvmU3i9R/6F92eET/xZjlarRafzXeNyP2Hz+I22bTYbVqsNp9OBx+P5w6W9RVFEqVQSEhKCXqdHqVIhigIejxe73TfZMpvNftHgPyMyMzP5femKbtO3LS0tzD35pCOuZaZWqXnsscc5/rgZjBgxAplMhtfrbX3OWrslwKtXr+KSy/4S8HccpJ/BsNBTASg0r2av8YeghcrBR9omRl5CtCoLCQ8b6t+lztH3qdt+SYlGh2QQpj1kliFJlDfvZlD0FCJ0yVQbc2ix17T6aXaEzdlMedOu/hjeMRxDjyFJEi6XC5fLhck0MGltk7OepNBR2HVmlDJNa9NJ/2Ls2OMZNWoqAIMHj2fx4m8G9KXlE3I1EBERg0KhQi6XI4q+esL6+urDVjhUyDWE6xOIDEklVBeLRhmCKMpxe5xY7U00miuobynGZK3rcfmGgIBOHdFOm1CSJCz2xj4pBdEoDSjk7VXqbU4TLnfw14UoyNCoQgnTxRGmTyBEE4VaaUAuKvBKXtweO1ZHCyZrLY31FRgtpTjdR0bOob/Q9rK32+3/sw0xCxacTmRk1zqSkiSxceMG9u3bO4Cj6hwKpZLTTzud5GRfNLBNOqVNL7A7hIWFBdy+gECEKg0Aj+Sk3LqlR2St7Xtlli1EqwYjICNcmfzHIWypkeMZlnBiu2W+h74ECBg0MRg0Md1uo8qY02oQ/uec4RzDMQSC2VFPYeMGFKIKm7sFuUyJx+2iP+8Jh9PmfyDarL03ye4tWlqaePyJ69FodKhVWqKi47nl5sfR6QyHtV2tKozBidMZFD+ZUG0sMrGjQ0PbM8rptlHTlMfesmVUNOzF6w2uHk8QZUwffinx4Vn+ZV7Jw5Ltr1LZcHgvPpmoZPaY64k2pPmXebxuftv2CtVN3b8YBARCtNEkRY0kJXo0kYYUVAodotB5Y42/7tLrwmSrp7hmCznlqzDZ/jfJzZ8NOp2esxee0223sNfr5fMvPuuxt3BnkMlkh5UGttttPPLoI73yb62oKA844RSQoZGFIQgCDo8Zq6e5V+M0uWvwSC7kogqtvH9Ep/uFsDWYSyioXX9Y2zDaqjhG1o7hfxmJoSMJVcfRZC3HQCzhmiRqzfnUmPunSwpg48ZlxMWloFZr+eGH9wc8JeTrNG2gubkBgIbG2sNqYBAEkbSYcUwYfBahuvjWZd216guoFDqSo0eTEDmMoprNbM79ulUXsnt4vW7KaneQHHWgVk2SJAbFTaKyYR+H8zyLDEkmOjQdheyA6LixpYSGltJuvxeuT2Rk2skkR49CozQcdJxdo+1zuUxJuD6BMF08g+InsyHnc4prth7WcRzDkceECRMYMaLzxog2VFRUsHTJkm7XUSgU6HR6TCYTOp0Wt9vtdy/S6fTExsaRk7OX4cNHsWfPTkRRRKPRYrVa0Gp1NDc3B1VS4XK5+PiTj4I/wF5AFHxRcY/kQuplNNwjufw1xjJB0WdjOxj9QtiK6jdSVL+xPzZ9DMfwPwNJ8lLWvJ1o3SBkooLips1E6dL7dZ9ms5GPP/5Xv+5joCAKMkalz2NMxgLkMlUXEbUDOPhzQRCQy5Rkxk8lXJ/Iyl1v02DqnhwBlNbvZKzTiFYV5t9OYtQItCoDVkfv6w/T48YjFw8IskqSRFH1Zlye7htYIkKSGZwwrVsLue7OQ9u/QzTRzBh+OR6vi7K6nb04gmM4GiCKIuefdz4qVdduQ5Ik8euvv1Bd031z4Jw580lISGTfvj0kJCSyZctGRo4cgyRJ1NRUk5iYRGFhPhkZmeTn5zJ79hzy83Mxm82ccMJJrFq1jMLC/L4+xF5A8guSKwQ1oqAAqed6lwpR4xfKd3l77v8cDI6Zvx/DMRylaLSWkhY+AafHhsfrJjVsHA22wKThGHxpwOGpJzF20BnIZQdmu5Ik4fLYqTcWU2ssxGyrx+N1o5RrCNXFExc+mDBdHEJrulAQBCJDUjhh1LUs2f5/GC3dv8QstgYqGvaRGT/FT3x06nASIrLJr+pd1qEt4ncwkXK6rZTUBtZALK/fRbOlknB90kHaUh6sjmaazZU0mSsx2xtwue0+vUxVGNGh6cSGZaJSHBCdFQQBpULHxKxzqDMWYXf2TUfwMQwsEuITmDPn5G6jrA6HnS+//CJgM4lerycnZy9NTY24XE7q6g5Ew5ubm9BoNLhcTjweDzqdHplMTk1NDRMnTsbtdqPT9TzF2R/w4sXibiRcmYpSpsOgiKXe0fNykAhlKiJyn8esu7YfRnqMsB3D/wBEUSQ8PJrExHQiwqORKxQ4HQ6am+upqa2gsbEOl6vzGZXBEI5eb8Bms9LU5Kvh0etDSUsbQnR0PEhQW1tBcUkuFkvwzQhyuYK4uGSSEtPR60NxuZzU1FZQXlaAuXU7Zmc9u2t+8X9HIao7taaSyeRERsaSkJBGeFgkMpkch8NOU1MdNbUVNDfX43J1XouiUqmJiIjtVEajpaUJszn4Y/I1DIQQG5NETGwSOq0er+TFZGqmqqqU2toKnM7eOTX0FIlRIxg36PRDyJqX8vo9bC34jnpjSaeuG0q5hpTo0YzLPBODNsZP2sL1CUzP/gtLtr/abRG+hERB1Xoy4iYia7OlQyAjfhKF1Zt61XwQF56FQXug5leSJKqbcgOSRwCHy0JO+SomDTkPs7WBsrqdlNRtp9FUhsNl6TQlJQgi4fpEJgxeSEr0KH+aSxAEIvSJpMaMJad8ZY+Poz8hCCKhITEIgogkeWkx1x3rJu4EJ588j/j4+G7X2bVrF5u3bA64rV9//YnExGQqKsoQBAGTqYXdu3cAtC4DrVZHaWkxMpmMdetWExkZybZtW4iMjKS0E/HhYNB2TwarpRe4i1miwVFAknYMInIy9MfR5CzrkWOBRhZGqm4y4LOranD0XPonGPSYsPkeyjrafLVcLicOx4GHsFKpYtTI0YwbN5EQg4H6+jq2bdvCvn17On1pCIJAYmIykydNJSU1DbfbTWlJMdu2b6a8vOywW8YVcgVh4REkJSWRnJxKbEwc+pAQZDIZLqeLlhYjtbXVlJWXUl5eRnNz82Hd6G3SD22QvF4s1o6Cpz6drygGDRpMRnomUdHRKJUqXE4HjU2NlJWWUFiYT1V1JS5X3/uHCoKAwRBKamo66WkZxMbFo9fpEUQRq8VMVXUVBQV5lJWVBFlDJGG1Wnv1e6lUaqKjo0lMTCY5OZXoqGi0Wh0IAg6HHWNzE1VVlZSXl1FRWY7ZbAq6tio2NomzzrqKCeNnYDCE+zsOJUnC4/Vgt1koLy9kxYofWLL0qw7jX7DgEhac+hf27t3MM8/eyuTJszl74TUkJKQilysAX/doZWUxX371X9avX9Lt9SMIAllZo1m48CqGZY9DrdYhiqLPosrtorq6lJ9/+ZRlyxbhdLYPqx8aZhdFkWHDJnDqqRczdMgYdLqQVteC1uPzuLFazRQV7eeN/zxGTU1HH74hWaO5665/dpIyk/jkk//j+x8+CHiOBUEgc9BwTjjhdEaNmkJUVBxyudJf1Oz1+vStCgr38tVX/2X37o39WhunUuiYMPgsFPKD7kNJIr9qPWv3ftQt4XK6beRXrafBVM7s0dcRrk/0vxziI7PJTpnFjsLufRVrmvIxWqqJCPEZbAuCQGzYYAzaGJotPfPSFRBIj5vor7GBNlK4MWjyl1+1HoujmerGHGzOwARckrw0mspYuestThxzA/ERQw+KtImkRI8mt2J1n0u6HA5USh3HT7yI8NB4tOowPv3hQZpbjul9HgyNRsP551/QrbOJ1+vl888/w2IJLNLd3NxEc3NTu2UlJQeIyv79vkabrVs3+ZdVVVUAUF1d2aOxA4SHh3PKvFOYOmUaUVFRiLLAFms7d+7kyaeeCPi8qbXnYPU0oZNHEqMeyvDQBeS0LMHhDXS/CITIYxkRdjp6uW9SVe/Ix+Tqn2uvx4QtMSGJ99//wvdCBX788Vsee/xBAOLjE3jg/seYM+eUdu22VquF35b8wlNPPUzFQeatSqWKSy+5kuuuu4nY2PiDCnW91NfX8+mnH/Dqay9jNvcs/K5UKsnMzGLmzBM57riZZGUNJSI8AoVC2WVXlNPpoK6ujm3bNvPtd1+yevVyrNaet7MfN30mTz75gv8FWFdXw6WXnUdTUyPge8mOGjWWv/zlCo4/biYxMbHIZIfapkh4PF6MxmZ27trO559/xJIli/vEh08URYYPH8l5517MzJmziY9PRKXqvL7HF6VpCoqE2e02rvvr5eTkBNcNp9PpGTFiFLNnz2XK5GmkpWVgMIR2agklSRKSJGGzWamqqmTt2lV8883nbN+xtVsyGROTyF13vkRa2hBfmNpspKWlCY/Hg1arQ68PRa83MHToWErL8pGWdLyp5XI5KpWaxMR0Fpx6Meeeex2CINLYWIvNbiVEH0pYWBSpqVnceMOj6HQhLFnyVacPCEEQmD7tZK666l4MhnA8HjdNTXVYrCZUKg3hYZEkJ2dy1ZX3kJqaxXvvPY/D0XkthEwm57TTLuGcs69Fo/Hdiy6XE7OlBa/Hg0KhRKPRYzCEExER02WkzGxpIT9/N3p9KDpdCFqtHr0+1L+PYCCKImeceQVTp8wBwOl0+I7LYkIulxMWFoVWq2fkiEmkpgzm+RfuYM+eTQG22nukx00k0pDarvC/vqWEDfs/C1qioslcztp9HzFn7M2oFFrAR56GJc+isGoDJlvXYpxOt5Ximi1+sgc+EpkSM4bmop4RNp06goSI7Hb3hNnW0KOuU7vTRFF1z8+33WVmW+EPxIQNQi47UD8XEZKEQqY+quQ+7A4TP/z+TxJjh3LaSbfDYQvA/Pkwbep0JkyY2O061dXVfP/DogEaUfBISkzirTffZvr044KyDWx7Z/gm1YFh97aQb1rByLDTEQU5qbrJRKkGUWXbRYOjCKunEbfXgYSEIIgoRQ06eTQx6iHEqrNRiXr/dnJbluANQnC3N+gxYZPJ5SQkJKLXhwAwbtxElEolOp2eF1/4N8cdd0KHk6nT6Tnj9LOJiYnl+uuvoKGhHrlczs033caNN97qt0VpgyDIiImJ5cYbbyUyMop/PHR3uyheVzAYQjlx9lzOOecCxo2b6B9jMF1RarWG5OQUkpKSmTdvAevWr+aJJx5i796eacGpNRoSE5P9s5iIiAgSEhJpampEr9fz17/ewhWXX4vBENrNuATkcl8E7oSZJzJ92gyWr1jKY4/eT1FxYY/GczBCQ0O5/vq/85eLLyc0NKzb8+LTudGi0WiD2rbVakWpDHxzxMcnsGDBWZx5xtkMGTKsU7LY2VgA9PoQBg8eQmZmFmeffT6LFn3NCy88RU1tZ7MZgXnzLiAtbQgul5Ovv36T5Su+p6WlCUmSUCiUREXGkTVkFGPHTGf58kXdzsKiouM5//zrKSjYxyef/h9FRftxu11oNDqmTp3DBeffgF4fyoUX3ERu7k5KSjp2cg7OHMmVV96DwRBOWVkBn376b/bt34rdbkMuV5CaOpgLzr+R4cMncNKJZ1NVWcL3P3xIZ115M2eexvnn3YBSqcJmM7Ns+fesXbOY2roK37jUOmLjkhg5cjL19dVdpmsLC/fx+BM3IJPJkMnkjB1zHH/721M98hf1eDz8/vu3REbGsnnzCnbuXE9NTTkOhx1RFImOjuesM6/i+ONPwWAI58wzLicnZztud99HjuUyJVkJ0xGFA7NvSfKws+jnoKJLB6O6KZei6k0MSZrhj7Lp1BFkxE1iR9FP3X63uGYLI1LnolT4Jq6CIJAeO569pUtxe4JPtSS1NiwcOBaJsrodPT6W3qLOWITJVke4/oCuplKuRaXQ4XRbCTfEY7E1IwgiIbpIPF43LeY6PJ72v61apUevjejwuUKuJtQQS1NzBZ6D5FPUKj06bTiNzRX+SJ5SoSFE59MOa7HU43K1n8xIkte33WNNrB2gUqm5/vobUKvVXa4jSRLfLfqWsrKyARxZYIiiyK233saMGTPxer0UFhaSk5uDAJx44klUVVexc+cOdFod6RkZJCclYzK18NgTj7F48S9BR/PLLJvRy6NI109HFGTo5FFkhsxiUMhMvJILj+RGQkJERBTkrZ2ggj9j4/Ra2N30HUZXz6OHweKwa9gSE5MJCwvn8suvZfr0md22zE+ZPJ0rr7iO5194kpNOmsd1192EQtH1S14mk3HOOReyctUyfvzxu4BjueSSK7nj9vsOy+hXEASUSiUzjp9F2n/Suenmq9m2bUuvtgWgVmvISM+kpLiIxx59lrPOOq9LS53uxjPnpHkkxCfw1+uvoLgXpC0iIpJnnnmZuXNOafcybruY23zzBKF9ZCWYmUzr/wUcg0Kh4JGHn2bevAXdagAFgiAI6PUhXHDBJaSlZXDzLddQc0hHk1wuJyvLJ69QVlbAt9+92y7F6HDYMJuNFJfksGTJ1wHTOzJRRlNLLf/37wepqjpQe+Fw2Pjll08RRRmXX3YHoaERzJ1zDm++9VS7B4VCoeScc64lNDSCpqY6/vnyvRQX72+3nb17t/B//36Ah/7xX+Likpk//yJWr/nFXzvXhoiIGM45+xpUKjVWq5nXXn+Udet+bRcJNRobqa4pY8eOdQF/Q7fb5SdPPmLX8zfe9u1r2bNnMw5HRxHX0tJ83n7naVJSBpGenk1GxjBCQyNoaKjp8X4CIVyfSIQhud0yo7WW8oY9Pd6WJHnJrVhDZsJUf4RJEATSYsezp2QJbm/XxKvJXEWtsYDEyOH+8x8RkkRkSCo1zXlB7V8U5aTHTeTgaJHH66SwF9Gy3sLlttNibU/YRFGGXKZCFOWcdNw11DaUEBc9CKVCg1qlp7Imh9/W/Aen0xeBy0ybxNSx5yKKIoIgw9hSzbL179LcUo1GbeCsuXfz66rXKak40H06cdTpxESm8+2vz+CRvCTEZDFj8iWoFFoEQcDutLB8/XtU1/VPl6EoyoiPy0Sl0lBZlYfd3jc+vkcKc06aw+zZJ3b7LDAajbz//ntHnXNFWFgYp8ybjyRJvPveOzzy6MM0NDSQmJjIurUbWLN6Nddcd7WvxjIigksvuZQ777ybsWPG8d577wa9Hy9u9rUsxu4xkRkyE6Xoy1yIggxRkHVKlnyRPC9GVxV7jT9S7+jfrtfDJmzh4eFMnzaDCy+4BEEQaGxsoLy8FLlcTlr6IDRqjf8iEUWRc865gO+//4ZbbrkDjUaLJEnU1dVSWVmOWq0hLS2jXdRFqVRy8UWX89tvPwcU8Vu+bAk3XP83QkPD2i331Qe5MZlaMBqbaWkx4nQ60Wg0REREEhUV3SFdKggCKSlpPPboc1x62bk0NgbWYeoMgiAwfMQohg0fycKF5/vJUptyfmNjPQ2NDVitVlRKJRERUURHx6BUdhzP8OGjeOgfT3DjTVf1KF2rVCq5556HOHnu/HZEyev1UlCYx5LffmH7jq00NTUiIBAVHc34cZM46aR5JCcn+4uO22C326iurqa2tpryijLKykooLCxoV7/QGVwuF7/+9jNzDxlHG7FxOp0Yjc0Yjc2YTCa8Xg96vZ7IyGjCwyM6hMJFUWTq1OO4884HuPfeW9vV+kmShLfVFqotUnhoTdiB8xA4fC1JEps2raCqqmOXpiRJrFr1I6fOv4i4uGTGjJmOTmfAbD4g45CcnMnw4RMAWL3mF0pKcjrdT21tJRs3LeP00y4lKiqeoUPHsm7dr+3WGT9+BjExiUiSxIoVP3Qga52Nr7/h9Xo6JWttMJmM7NmzhbS0oWi1enQ6Q78QttjwwR3kL6qbcnG6evfCbTSXd4gwhenjCdFG02Su6PJ7XslNQdUGEiOH0Ua4ZKKS9LgJQRO2MF08MaHp7VK7DS1l1LcU9+pYegcJxyHnTkD0RzBlMgVDMqby07J/UdtQTHRECqefdAdpiaPILVpPRFgSs6ZcwcYdX7O/YC0KuZLjJ/2FWVOvYNGS5zFZ6qmqzScrYxolFbsACZVSR0bKBLbt+QmP141GbeDE6VezN38le3KXIwgiU8aew+ypV/LFz492iLT1BcaMPolTT7kJuVzB7j0r+Oqb54IWUD7aEBMTy333PRAwuvbDD9+ze/fR5y6UEJ9ATEw0NTU1PPPs09TW+jownU4nLqcLjVbrF+atra3lpX++RGhoGH+75e+sX7+Ot95+M+h9eSUXBeaV1DlySNFOIkY9BI0stFWu48C7R8KLR3JictVQYd1BhW07Tm//k/rDJmwqlZp77vkHERGR/PTzIp5/7klKy0qQyUSOP34WTz31ItFRMf6HTlxcAvfd9zDDskfgcrl4//03efOt16mrq0EulzN37nyeePx5DAZfHY0gCIwaNYbExGSKigq6Hcv+nH0sW/YbZ5xxDgAWi5l9+/awes0KNm/eQFFRIU1NDTgcTmjNRYeEhDB06HAuvOASTj751HYXtSAIjBw5mjPPPJe33369V+dHEATOO+8i9K0F4ZLkK85fvPhHvvr6U/bt20tLSzNer9cfORo6dBgXX3Q5J598aju9HEEQmDnzRE46aR6LFn0d9BhOmHkiC886tx1JcrlcfPDh2/zrXy9QX9+xBXnRoq954z//xz13P8jpp5/dLipXWVnBZZefT3l5WavfXvAzsiVLfiE/P5chQ7KRJImmpkZ27NjK6tUr2LZ9C+XlZRiNzf6Ij0wmIyI8knHjJ3LZpVczceKUdmMRBIHTFpzJ559/xMaN6/zLPR43e/duZfjwicTFpXDD9Q/z1VdvUli0r1epOEmSyMnZTlfRJ5OpmcLCfcTFJRMeEU10dEI7wpadPRa1Woskedm9q/ui+9KSPCRJQhRF0tOGtCNsoigycsQkBEHA5XKyavVPR92MuCuYTM0AiKLQoyhz8BCICkk9ZJlEbXPvywhcbjuNpop2hE0hUxOuT+yWsAGU1+/BYm9Cr/Gl8QRBICV6FNsLvsfuCiwbkBoztl3jBEBhzaYepVT7AoHu7+Ly7ZRX+4SBq+vyMZpqCQ2JAyA9eQwOp4W9eatwue04nBa27v6Js+fdR0RoAnWNJewvXM3MyZei04RisTUTHzMYpUJDUfl2ABJistBrIzCaaomO8P2+zS1VjMg6gVB9DPVNfS91kzloPCqV79ynpoxAo9FjsTT3+X76GyqVigfuf4DRo0d3G11rbm7m1df+fVgi1f0FfUgIKpWanJwcqqsPZFI8bp+3rV6va+em4PF4+PCjD7nm6mu54PwL+PDDD3D0qDtdosVVzW7jIhQtGrTyCLTyCJSiFhEZHsmF3WvC4m7A5mnGK/V9aUdXOOynpiiKJCQksWv3Du6773YaGg4U4/7660+kpqbzwP2PtouyzZrlK07+9tsveOrpR/z1aQ6Hg++++4qJE6ZwySVX+r9jMBgYMiQ7IGHzeNx88OE7ZGVls3TpYn78aRH5+TnY7V3PwBwOO6tXL2fjxrVceOGl3H/fo2g0B6KCMpmMM884m08+eQ+brXdejjHRsYDvpV9VVcmD/7iLpUsXd3pzOBwO1qxZyaZNG7jqyuu4447725E2hULB+ef/hV9++SEo2xClUsmll16FSnWAiEqSxI8/fcdTTz3c5TFJkkRFRRkPPHgX0TGxTJ82w39O0tIymDt3Pm+88UqPzgP4Oos+/uQ9zjrzXL797iuWLl1MeXlptw+KCls5FZXlrFixlHvufoiLL768HWnTanWcfvpCNm5cz8GE6tffvmDMmKkMHjyKCRNOYPiISezbt5XVq39m5871NDfXBx198njcNDR2HRHy/ba+VKlSoSIiIpqion3+z1NSBvv/f/78izj++PldbisqKs5fM3WoCbpMJichwVdQ39LS1GnE70hCrw8lMTGNhIQ0IiNi0GpDUKrUKJUqBmUMO2jNvi8KFwUZBl1MuxeTV/LSYj0cTSQJo6Xab9fVhnB9QsBvWh3NlNfv9tfAAYRoookLz6K4dmu331XI1KTFjGsnt2J3mSit3d6ro+gMgiAilymRy1QoZCrkMhVyUYlMlCOKCmSiHJlMgUHbtUE4QIu5jrb7TsKn89Y2OQzRRWG1GduRTJu9BQnQqH21eeVV+/B63CQnjCCnYA1DMqZSXr0Xs8XXqBWij0Kp1DJp9JlIbZMTQaC2objHno/BwmIx+p8NNrsZt3tgSXJfQKlU8ve/3cqll17ebQmKJEl88snH7Ny5YwBH1wO0/g6HZnocTgcWq4XoqBhUKlW7rFNNdTV1dXWkpaUTEhKCo6F3ckIuyYbRVYHR1f3kbKDQJ9NcSZL49JP325G1tuU//fgdf/3rzX7S0vbgMhqN/PfNVzs0E3i9Xn797WcuvPBSf32bIIhkDR7CL7/8EHAsmzdv4JxzT6WlpWeq4k6nk48+epfBg4dw2aVXt/ssMzOLxMRk8vN7bwnks9xp4s67bmbFit+DGI+Dt95+nezsEZx11rntBCxHjRxDQkJSULVsKSlpjB07oX2XmdnEG6+/EhQBNRqbeeP1V5g4YYqfOAqCwMKzzuOjj97BbO65wODHH7/Hp59+iLUTuZPu0NLSwjPPPsrQ7OFMnDC53TmZNHEKWq223TYbG2t59rnbOPPMK5lx/HxCQsIYN/Y4xo6ZRn19DRs2LmXJkq8oLy8MSNwkyYvD3v35auvEFATQ6UL8ywVBwBAS1krCZIwZMy3oY5YdEolSKFRoNL6OJIvV1G0aciARFhbJKfMuZNq0uURHJ6BQ+NKSbTUePsIj9rq2NBjIZApUivZinF6v57BFXq2O5g7LtKrwIL4pUVC1gcyEaX49OEEQyYifREnd9m4jV1GhaYTp42kjtpIkUdWwv9vu1EAQENCoQluFcQcTaUhGpw5HpdAjlyl9v09rEbWAAK3/DniU3dw7docZpUKDKMrweHzHq5CrEBBwue2t65goLNvKkIxpVFTvIyl+OL+vfct/fhxOKzZ7C4uWPI/N3v639Hj6JyK0YdMiQkIiUat0rFn3JQ7H0dMRGwyio6O56857uPrqawK6GhQVFfHK/718WH6f/YlmoxGbzUZkZCShoaHU1flqeq1WK7W1tYwcMZKEhATy8w+qHxPaGufU/RTNPzLokyOxWCxsOCgddTBqaqspyM/zE7Y27N+/p0sCVFRUgNVqaVeLlpCQFNRYPB5Pj8laG9xuNx9++A4LzzrPn5IFX5dramraYRO2995/k1Wrlgf9HafTyXvv/Zd58071y6iArxt2yJDsoAjbsOwR/m7ZtnHk5O4nN6/zGqrOsG37Fiory0lPHwS0drylZ5Cams6ePT2veegu4hkIRqORDz98h/HjJraLssXHJxIeHt6BBDY21vLuu8/y229fMOP4U5ky5SRiY5OJjo5nwal/4fjj5vP9D+/z448fBRZ1DdSAcdBs/9D6wzaZF7fbxYYNS/3iuIGQk9N+1nuwYKQv2nDkW+KiouK59e/PMHToaCQJ6uoq2bdvGyUluTQ112G3WXE47cyYsYBZJ5zeb+OQiXJkYvtHmkdy4fEeXsrCRywk2siTT/Vfg4AQMMJTZyyiyVxBVKvMiCAIxEcMRa+O6JZ8ZcRNRCa2F/0tqNrQS+0zgciQZIYmn0BK9Ci0qrB+J89tKK3czejsucRFDaKiZj+CIDIodSIWWzNNxgMSJ7lF61gw+1ay0qfictmprDnwfKqqzfWJDyePY3fuMrxeD6IoR6XUYPMcQsaFdn/1GvX1ZXz2xeMI+KK0RwqiKKLT6bDZbAHTlSqVioSEBE6eO48rr7ya4cOHB2zucrlcPPvs0xQXF/fhqPsWVVWVVNdUk5KcwpCsIX7C5na72bZtK8cfdzyX/OVSHnv8Uf85GjlyFPHx8dTV1eLsQjT8j4g+IWyNjfVUVXXeyupyuSgqLmTq1OP8yyRJYsfObV1KdZjNJlpaWvyETRAEwsJ9oqf9rV5dXFxIYWE+Y8aM9y8TRZG4uMApkO5QU1PNJ5980ON6o/05+ygpKSY7e3i78bSRp0BIS8vocNMW5Od2qe/VGUymFsrLS9vtU63W9JqwHS62bNlAS0sL4eEHohxqtZqIiMh2On9t8Hq9lJUV8NHH/2LRovcYPmIis2efxcgRkwgNjeDCC24CCb797p0uowWCIKJWaTr9rA1arS+6I0lgO4g4er1ebHaLX8z2m2/fobAweB2tg+F2u/wC1Gq1FrlcCRy5KJsgiJx99jUMHerzEPx92bd8+um/aWqq63Auh2WP72IrfTcW8ZC0CZLkN2TuLbyS5yC65oMoyHwEPkBk1uWxU1SzmSjDgdo6jTKE5KhR7C3rPNKuURpIOshAHqDFVktVU/CTrDbIZSpGps5lRNocVAp9lzqU4NOtklr/9koevF43XsmDUq5pp8PWE1TX5rFz32/MnXE9NXUFKBRqIsOSWL7hPewH2f/UNZTQYq5n/MgF7MlbgcN5IKLV3FLD6i2fMnXsOWSlT8PuMKPThNJiqWfxilfxSh4SYoaQEDeEyLBElEo1Y0fMp8VUS3n1Xqrrui+l6QqS5D3i06Ho6Gg+/uhTXC4XVdVV1NbWYjQasVmtuNxuZKJISIiBxKREsgZnkZWVRUREZLuJXVeQJImvv/6Kzz7/dICOpndoaWlh7Zo1DL5sMAsWnMaatWv8z5Yff/qRa6+5jptvuoW4uHjWrl1DVFQkl192JVqtlp07d9LSMjASOAOBPiFsNbU13UZN6uoOrf2RKCzoulPK4bBjPyTVo9PqEEWB/q6vdjgclJeXtSNswGH5nkmSxJo1K6ms7Hke3GazUlxcyNChw9qlAGNiYgN804fwiIgON25DDztevV4vTYcoWgNERkT2aDt9hYaGBpqbG9sRNlGUoVEH1owzmY2sX7+ELVtWMmHCTK695gEMhnDmzj2XZcu/o7m583Mjk8kJj+i+lic2xhcFdrtdNDW3j55UVfrq2xQKFTExiYdF2Orrq0lKysBgCCc8PKpdc8NAIyQklLFjpiMIAjU1ZXz88Ss0N3ceOWoT+O0vSJIXbwcCJSDQewkZAFEQO0RsvJInIFlrQ0nNNkann4JK4Tt+QRBJj5tATsXKdtpjbYiPGIpec6B2UZIkSmq3d+jWDAS5qGTKkPMZkjSjnZNFW5ra4mii0VRGo6mcFmsdNqcRp8uKy+PA6/Xgldx4vR6mD7uElJjRHbYvSR62712M0VRz0DJvu2VeycOG7V9TXLGDuKhBuD0OVmz4gOaW9gLCbo+TtVs+IzZqEHnFh3quSuzJXU5VTQ4JsUNRqbSYLY1U1eb53R5kMjkCAo3Nlazd8rn/PIviHzsdJhNlDBqUSWxscM/7YCFJErt27eShhx88rIzHQECSJD774jPGj59AYWGhX/cMYOPGDXzz7TdceMGFXHrJpVzyl0v877vm5mZee/3Vo7KRorfomwhbQ323J8V6iM2FJEFlFxE5ALfb02F78m702voSkiRhMnVk5IeTB/cRthW9Smd4vV4aW10SDoZWG5ygrbwzAdReyDx0Pls7MmriHo+ng92XIAg9Ent1uZysX7+EoUPHsuDUvxAeHk14eHSXhE0QBAZnjmTVqs4FU7VaPenpQwEwtjRSW9v++t63bytutwu5XMGE8TPYuHFpr7o7PR43Obk7GDNmGhqNlnFjj6esrHcRhL6AVhuCXu8rHq+sLPF3gh4KhUJJWlpWv47F43V3SH92libtKRRyNe1a+iUJl9sedPTFaK2huimXlOgx/vvIV6OWSENLez9FQRDJiJvYjmS6PY5eORUMTTmhE7Lmpb6lhF3Fv1LZsBe70xQwrdtVSlmSJPYXrO52mSCIhIZGEx2bRFRsAiH6CLJHTsXtdmI2N1LfUEF1TQENDRWUVe2hrKorvTyJRmMljcYD95UoyoiKTCIpaSgx0Wno9T7pH5fLgcncSENDBV7BjVKpwensOgqtUmoYMmRKl+SuxVRPYeG2Lr//R4MkSZRXlHPzLTdRWnp0NS11hVWrVjJn7ok0G5vbLXc4HNx9z51YLGZOP+0MQkNDcblc5Ofn8cxzz7Bi5YojM+B+wmETNh/BMXWbqjy0mNHjcXdbZyZJEpK3/UPEl+oYGILQ1zIJTqeDnJx9gVfs5vuHIljboE4jY5FRPdq/TCYjMqLjd5qaOxLJgUHH66MzHDwT63Qr0oGCaa/X223RrSAIjB8/g+8Wvdupftjo0dOIj09FkiT27duKydT+vOfl76awcB9ZWaOYNGkWK1f+wM5dG7odvyiKnV6LGzf+zoJT/4Jeb2DevAvYtn0NpaXBaXv1Ndxul7/wW6PRI4oinZ3GkSMnk5k5ol/H4vG4cDjNcFAgTxTlqJV6OAyJJI0ytMMym8NIsPWDkuShoGoDyVGjEFo9QRUyNWmx4zoQNr06irjwrHbaa3XGYhpNHVP93UGnDmdE6pwOkbWimq2s3fvBgDgl6PXhHH/cBYwaMQudLqzTeiqfHqWDhsYKNm76nk2bfyTweRVISMjkuGnnkTlofGsTTvsUYFua1+l0UFGZw2efP4bF2vk7R6+P4IzTbkWl6nwSnJu3kaKiHUeVd2pvIUkS1dXV3HDDX9m4sfvnz9EEt9vdgay1ob6+nltv+zvPPf8sUVHR2O02ysvKMfXQ0vKPgD6JsFltPXsaut2eAFZT/VM5IJPJ0Wg0qFQqNBoNarXv/5UKJUqlCoVSiUqlJCkppU/3azabqW+oC7xiV+jkdARLXfPycvB4PP7okyAIDBmSjUajCVqmJDw8gpSUtHbLHA47pSXFQY4iePg8MNv/RkqlCqVS6f+j14dgMBi63U5ERAwLF17Nzh3ryC/Yg6mlGZe/Nd9nRTZyxCSOmz4PgKqqEurruzbslSSJ2NgkrrryHt7/4CVqa8vxer3IZHKGDh3LXy7+G3K5HLvdym+/fdmBaNlsFr786j/c+vdn0OkM3HjjY3z22ats2boKi6XFvy21Wk1UVDzDho0nJCSMzz9/vcNkqLQ0n2XLv+PU+RcTE5PA7bc9x2efv8bu3RuxWs14vV7kcjkajY74+BQyM0fy++/fYrV2/wATBAHxoCilKBMRBLHbF5XJ1Ex1TTl6fSipaVmMHj2VrVtX+Y9foVAyatQUrr7qXhQKVY9EfA+NmgqCiCiT4emi2cIreTBaa4gJG3RARkgQCdHGUN3Ue0IbqovtEGE2Wntm7lzZsA+zvQGDNsa/LDV6LDuLfsHlPnAfJkZm+wimHxKF1Rt73DiREJGNXt1eEsZkq2fD/k97SNYEZL2oX9NqDZyz8B4GZYzF97SSsNstuNwOJK8XuVyBUqlBJlOgUKiIi81Aowkh0LNfEARGjzqJeXOvRacL80/KfMTP7r+PfB6SAkqlGqfThq0bpwKXy0FZ+T5C9BGoVDoUCiVKpQaFouvuyj8iJEkiNy+XW265iVWrVh7p4fQpPB4PZWVlR52tVl+jTwhbMD6fB8MXzej/vLJarSY1NZ2xYyYwatQYMgZlEhMdS2hoGGq1GplMhiiKHf4cqvdyuLBYzL3WcDtc7NixjaamRqKiDtRfZWUNZfTocaxfvyaobRx//Czi4uL9/5YkiZLS4sPyNW1DSIiBwZlZjB03gZEjRpOSmk5UZBQGQygKpRKZ2NVv1D1lVSpUHH/cfE6eey4tLU3U1FbQ1FiH02lHrdYSE5NIYmIaCoUKm83C11+/2S2hsVrN7Nu3lYkTZzFkyGiKi3MwmZoJD49m0KDhaDQ6PB4PP/38Cfv2dZ4+2bZtNR999DIXX/w3oqLiuP76h2hsrKOhoRq3241KpSY0NAKDIQKVSs227Ws6bUz1ej188cUbREXGMXnybJKSMvj7356msbGGhsZaPG43arWGsLAoDIZwbDYLa9b80uH4MjKymTFjAVqt3vdHoyc8ItofvZ0z51xGjpyC3WbBajNjtVrIz9/NypU/+ImXw2Hjt9++JC01C41ayy03P8HOnRuorilDpVKTnjaUQYOGYbNZ+G7Ru5x+2qVdnuPQ0EhOnX8RBkM4Wq0ejVaPThfil0gZPHgEDz7wOja7BZvVgtVqpqGhhh9+/LBV3kSi3ljM4ISDZVMEog3p5FUEd60fCrlM1U40F3z2UI2mntWj2pwmSmt3MDz1JH9BeJgujmhDGpWNvui7IMhIjWkjOD5YHUbK6nZ2sdWuEROWwaFp3NK67ZjtPatflYlyNMruJ0edYfzYU/xkzdhSx8pVn1JUvAOrpRmv5EWp1BAaGkNS4hAyB40nIjyBPXtXBdzu0CFTWTD/Jn80zGIxsnffKnLzNtLcXIPb40Kp0BAeHkdqygjS0kaxbftv3boUtJjq+eCjB5DJ5MhEGQqlmonjT2XWCZf0+LiPRkiShM1mZdGiRTz62MMUFXXvSHO0o83xJpgu50CZkz8a+oSw9fyESP1qlxMeHsH8+adz1pnnMmzYSPR6fdA/cH/A6XL1i9F1MKioKGPFiqUsXHi+//g1Gi23334vN9xwJXV13YuKpqcP4qYbb+3gP/rD9992WusXHARSUlJYeNb5zJ9/Gunpg1AfZGHWF7DZrZSW5pGZOYKwsCjCwjqmdD0eN8XFOXzx5Rts3Ni9Np4oinz++WtUVZUwe/ZZjBkzvd3nZrORn37+hG+/fafL8gCv18viXz+npraCc86+hoyMYURFxREVFddhXHV1lezZs6nL9LzZbOTfrz5EUfF+TjpxIZGRcURHJxAd3b6b2e12UVNb3un1l5Y6hNMWdP1SiolOIOaQ7W3atIxVq35sd/+uWPE9kRExnHrqxeh0BqZOndPumEtL83jv/RcoLy9k5owFhISE0VkkJTQ0glNPvRh1J80jkiSh0xn89l5taGys5bclX/r16Kqbc3F7HK11Z76ITFxEFgq5pl0kK1iE6eLbRcUATLYGWqw9tdWSKKzexNDkGchlvsiNKMpJjR3nJ2x6dQTRh1hRVTTsxWLvWemBgNgq3XHw/ST1OK0KoFWFEaLpWXORKMoYPNjngSpJXpYsfYftO35rt47NZsJorKW0dDcbNn6HTheGydQ9mdTrI5hz4pV+slZbV8K3371AeUVOhyhwRWUOu/esQKXSBiV66/G4/Ib0Nrv5qHM1OFS4OZj1wSeDtGr1Kv77nzdYsXJ5UGLrRyMUCgVTp0zlxBNPIjMzk9DQMF99doBTsnXrVu5/4L4BsecbCPSNcO5RYo0jk8k4cfZcbr/9XoYOHR4wEnOw8fnBf4ui0KdRNsnrwRtEzVV/wOPx8OZbr3HCCSe1a/eePGkar7/2Li++9DTbtm3BZrP6j18QfNo/U6dM544772fw4CHtXiK5ufv55NP3ezUetVrDxRdfxnXX3kR8fGJQreed/R3otzUaG3jiyRtJTh5EamoWsTGJ6PWhyORynE4HDfXVFBTupaBgDxZL4FoHUZTh8Xp47/0XWbZ8EaNGTSEuLhkkiYrKYnbuXE95eVHAOhev18vWravYu3czGenZDB48kuiYRBRyBXa7lbq6KkpK8ygtzaOlpanbB43VauLLL//L0qXfMHjwSNLThhAWFoUgithsFurqKikuzqWkJLfV1L09du3eyHPP3xbw2A9GU1NdBxLpcjn54ss3WL9hKaNGTSY+LhVRJqPF2EhBwV727tuCydSMKIr865X70Wp01NR0JA/1dVW8/PK97dKygeB0OrBaD8hDNJurqG8pJj5iCG1P8zBdPPHhQyit296jYwWBQfGT/QQLfNdfWd0unL0gfw0tJdS3lBIX7nO9EASBpMjhKOVanG4r8RFD26VD2/xIe6zmL+CvlTsYvdGjS44e5e9uDXr3gohapUMQBDweD83N3ZNbX01zYEHgEcNnEBWVgiAI2GwmFn3/T8rKu68N/qMJ3h6KpuYmnnjiMcaNG09GRgbx8fGEhBhQq9UolUp/lsjj8eByubBYLDQ01LN//35Wr1nFyhUryMvPa+ez/EeDTCbj/vse4Jab/4ZG45NWCpaAuV1/ng5R6CPCdjRAJpNzxeXXcMcd96HTddQb8nq9WCwWqqsrqagop7KynIbGekwmE1aLBavNis1mxWaz8dfrbmbKlOld7Knn8F1bR47h7969i1deeYF7733Yr3otiiKTJk3l3Xc+Jb8gj9zc/TTU1yMIEBUVw9Chw8jIGIRSqWpfAF1Xy0MP30NNTc9qeAD0+hAefPBxzjv3Ir+LRRskScLr9dLSYqSysoLyijKqqyppamrEbDZhtVp9v5HVioTEIw8/RXx8Yhd78sFut5KXt4u8vL7RivM1AXgoLs6huLjnmljtx2Zj776t7N3XvUVRYEg0NdWxcePvAaOEh6KurpK6uq67tXsCr9dLSYmPHHa3zq5uGi2sNjMbNy07rHF4vC5yylcTGzbYX3AvCjJGpc/zmcC7g3+BR4Ykk5kwtd2zxOm2UVB1qOxEcHB7nRRVbyI2LPOAVZU2iihDKlVNOa3SGQf21WypprY5v4utdQ1J8hm2t4/KCGhVYT3ajk4dzrCU2QRfMeuD1+uh2VhLfHwmMpmCsWPmUFWdf1jkSSaTkz10GqIo+jpRc9ZRWtY7aZw/Emw2G/998z8IgoBCoUClUhESYkCv16HRaFHI5YiiiNvjxm53YDQ209zcjM1m+8N4DAdCeno611x9LSqVinXr17FixXJqa4MTxK2oqAia3LU9L/pb6/Vw8KchbAtOPYO77noAjUbbjmB4PB527NjKN99+wbp1q6msrMBqteD1erv8IRcuPG8gh97vkCQv73/wFlqtjhtu+Ds6nc4fadNotIwcMZqRIzrqLLXfhkRRUSEPPHgHa9cGrjU5FDKZjL/dcgcXnH9xuw5XSZKw222sWrWcRYu+Ztu2zdTW1eJw2P3FxIdCr9djPUI1gcdw9KOkdiu1xhnEhg32X+ex4YMZl3kGm3K/wuMN/KDXqsKZmn1hu/otSZIoqt5Mg6n3UgildTsYk7EAjcq3XVGQkxg13NcsEZrR7tlVXLO1V5G8Nv/Tg9EWzdtTsiSoSJtKoWfK0AsJ08X3uFRBkrzs3rOcrKxJyGUKxo6ZS0R4Aus3fkdh4VZs9p7b2Wk0IcREp7Zu30fY/gxdm8FCkiScTidOpxOT6c/X/dgdIiMjCQkJIT8/n/MvONfvdNDXmDHjVMaNO55Vq35k9+6N2GzBTzCys8cxZ845CMCq1T+zdWvP35HB4E9B2GJiYrn11rvbkTXwFfu/+NIzfPzxuz30vDwytW79CafTyb9ffYnde3Zw2233MnrU2KCLNhsbG/jp50W88forlJQW92r/48ZN5C9/ubIDWauoKOOhh+/l999/8yv4H8MxHA6cbhubc7/mpLE3oVL4JieiIDI8ZTYqhZZtBd9jstZ1mmoUBRnRYRlMzjqvXbepJEm0WGvYXvjDYREFk62eysb9Pq211m3HhWfRZCr3kzgAl9tGcc2WXu+nqjEHj9fVzqEgLiKLIUkz2F+23C84eygEQSQyJJmJWeeSGJkNHEg/9YS47d23htSUnxg/bj4ymZy0tFGkpAynvqGcffvXsHffGmpqivx1Y4Gg10f4a9dcLjv19T2vxzuGPybKy8upqqpCEAW8nv4h6aIoMnXKSUycOIvJk2bz0j/vZv36JUF/32JuYdLEE1p1KUPZsWNdvzRW/ikI20knzSM9fVC7B4rb7ebll5/jzTdf62GIU0DxJzKLPRgej4fq6iocrcrWbWnIyspy5HI5KpUar9eL3W6jsbGR4uJC1m9Yw6pVyykpKe51qFgURc4/72L0+vZuEWazibvv/jsrVvYslScIQueCwMdwDK2oasplc97XTBl6ATJR0ernKmdwwnQSI4dT0bCH6sZcTPYGvF43cpmKMF0ciZHDiIsYgkKmbkfWHC4L6/Z9gsl2eLP7Nk/Q9NhxCIIcQRAI1cUxKH6KXyxXkiRqmgtoNlcF2FrXqG8poaYpj4TIAw4poiBn8pBziQnNIL9qPS3WGlxuO6IgQ6XUEaZLIDVmDElRI/11ay6PndLaHWTETwrKCL4NbreTnxe/QXlFDtOnnUNMdCqiKCM2Jo2Y6FSmTj6L0tI9bNryI3n5m3C5ulcaUKt0/smey+3E7jgMYb1j+EOhsrKS++6/h6eefJrnn3+B1994ncLCAux2e8C0r8fjCcrJQasNISVlcGt9pIXCwp7pptbUllNVVUZm5nDS04diMITT1NT3kcA/PDMRRZGZM2Z36GLMz8/lk08/6DHJkMl83mx/RkyeNI2XXnqV5OTU1gvTyn/+82/efe+/B7TaJFrrIWzY7fY+6a7R60OYNKl9LZAkSSxZspjVa3quRK1SqVFruvf1PIb/dUjsL1+JXKZifOYZyGUqf3pUpw5ncMJ0BidMR8JXGnGwMPeh16ndaWLtvo8oq++bWsjqphxarLWEtqYb1Qo9SVEjDhBEJAqqN+CVej9D93idbCn4jghDMmpFiP/Y5TIVmQlTGRQ/GZfH7pO7EETkoqI1Gif4tc3cHgcbc76ksmEvSVHDUStDejQGt9vJtu2/kpOznqFDpzJm9BwSE4egVKhRqbRkZk4gPX0MRcXb+fW3t6iq7rpeTxAPEk5vtdY6hv8NSJLEDz/+QHRMDI8+/BhnnHEmzc3NtBhbcLmc3Rr3bNi4gVv+dlPA91hYWCQGg8/qsLy8kMbG7tUTDoXT6aC0NI9Bg4YREhJKVFTcMcLWGVQqn9baodi4aR3Nzc093p5Opyc+ofti9j8iEhOTefrpl/xkze1288orL/Dqay/3u9daVFR0B3cFSZJYvmJJrzRy4uLiCdH37OVxDP97kCQPu0t+xWJvYMLgszFoY9r58QIIdC0N0GbjtGH/Z1Q15dJXjUMOl4WS2m2MSo/3j+Xgrk6LvYmK+q4smoJHTVM+a/d+xNTsi9AoDe2OXRBkqMTOuz8lScLmNLIx90vyK9chCjKMlpoeE7Y2WG0tbN22mJ27lhEXm8GI4TMYln0cYWFxyOUKMgdNIDIyiU8/e5TKqs4Fjt0up5+kiTI5CvmfS9T2GLqGXC7ngfsf5MYbb0Kj9k3UVTEqYqJjAnwTqquDi1IbDOF+oeSKiqIey3BJkuTvfJfJFISHd+873Vv84QmbXC7vkGoDqKgopzcP2MGDs0iITwi84h8MF110KZmZByxv8vNzee/9twbEGFer1aJUtn/Aut3uoG+mQzFxwhQ0muC8VA8XJcW5rF33K263C7O5c925CROmEtFq3dXQUMeWLV13Eep0ekaOHMfOnVuwWnue1klKSiEzM5u1a5d3aln2vwJRFJk8+Xh/NLyqqpxduzoKFkuSl8LqTdQZi8hOmc2guElo1eEIdNRl9NuUSR5aLDXkVqwmt3INdmffF3kXVm8mO2U2CllH4lFevxOro2vrvuDhc0kw2xoYl3k6cRFDkIu+mraujt3ltlHRsJdthT/4bbM8kpea5vxWMV7fdnsDt9tJecV+yityWLPuK8aOmcv0aeeg1RgID4tj1gl/4ZPPHutU5NZqNeJyOZHLlSgVavQhETQ09ky8+Bj+mMjIGMTVV12DWqVm/fr1fPf9t5SWlOBwOAJeifX1dUFliZRKlT9LZ2zpneWiuVU6SRRF1Or+yQD94QlbWx3WoZCJPa9xEkWRhQvP77eTfaSgUqmYMWN2u4d0bu5+Wlr6308Q6LQjVxDo1FswEPT6EM4885y+GlpArFj5AytW/tDl54IgMHr0BEaPHs/o0RPYt28327Zd1GVtxZgxE3nhhf9yyy2XsXFjz9X3J0+ewS233MPChbNpaAgctg8LC8fhcPSo4+mPAFEUmThxGllZ2YwdO5mVK3/j3ntv6nJ9k62ejTlfsLv4V2LDMokNzyRUG4dKqUcUZLg9DqwOI82WSmqa8qgzFvdIAqSnaDSV8fPmF5GLig6fNVuq6EsZoFpjAb9t+z8iQ1JIiMwmMiQZrTocuajEK3lwum1Y7A3Ut5RS3ZRDs7mqQ1PC7uJf/Y4LkuTthXDwwZAwmRpYuepTjMZazjrjDuRyBclJwwgJicBo7Hhdmy1NmEz1aDR6XxND6khKSvomRX0MRzdCQ0PRarUUFBRwwYXnUVN7ONdeFzhIekvsBXc4FH3tltSGPzxhc7mcNHdicJ6enhHQ/PtQTJ48jTNOP+eIOSL0F+RyBeFh4e2WJSQkotVqsFj6v3jXZDJhs1nRag9ExeRyBakp6axiedDbEQSB8867iFFBdrgOBCRJ4u23/w9RFHnxxbdQqdTdrr9793YeeeQO9u7t/5eNIAj87W/3s3z5Ylas+C3wF/5A8KX0n0ahUPDmm18G+S0Jq6OZoprNFNVsRhDE1kJ6n9elJHl7LlLbS3glT6801noLj9dFrbGAWmNBa3SxrSZM8v3XapbeFSyOJiyOjs/Zw4NEfsEWbLYWQkIiUShUXRqwOxxWikp2Ed0q7TFyxAls3vLTUedI8GeEgIBSoaW/1RO8XjcuT8cGgcKCAvbt24tWq8XVT45BVpsZt9uNUikjKiqux9wBfP7V4AtQ2Hrorx4s/vCEzeFwkJ+fy9ixE9rVaEyZehwJCUlUVARnBjty5BiefOIFQkND+3O4RwRut4um5iZSDxLSHDNmPI8++izvvfdfSktLsNms3daTeb1Sr7tEGxrqqamp9jstgO83OuWUBXz51afY7YG1pkRRZP7807nt1nuQH0YXryjKiQnNICFyGKHaGGSiEofLTIOplPL63bRYe1ZsCgf0/rorhG4zMrdYTPz22w9dpqIFQSAsLAKdTk9Li9Gv4n/o+RcECA0Nw2AIa+3qrW/3+wmCQHh4BOPHT2HduhX+c9bT39HXXelTUtfp9ISHR+J2u2hoqOugni4IAgZDKAZDGA6HnYaGunZjksnkrdFWb4fvyWSydudEEARCQ8MJCTFgs1lpbGzoMG5JknC7Pb1ujPERtADHj0CoPp6kyBFEhCShlGtxex00m6uoaNhLQ0tJlxIZRyt8BK3/xiyKMmSiHJc7cMreEBKJQuGb5LhcDhzdmLRv3/Ebo0fORq3WEROdxuwTLmXxb//B6ey+C7A3L99jOIAQbTQnj78Vpbx/M09ldTtZtfudDpOmhsYGrv3rNTzx+FP886WX+eCD9ykqKsJqs+J2u7ttOnA5nTQbmwPuu7GxDpvNglKpYlDGMHS6kC5LYDqDQqEka/BIwJf6r6/vubB8MPjDEzaA5a1emQe/yBMTkrj77gd56KF7aGrqOiet1+s55ZTTuf22e0hMTAZ8DPlIeo/2NRwOB6tWLmPM6HH+ZXK5nPPOvYgFp55JXV0NJrMJj9vDobNsSfJ1wDQbmykvK2Hnrh1s2byBsvLSoBsGbDYra9euJDt7eLvlU6cez5VXXsdbb72Ow9H1Qzc6OoZLLrmSq6+63l+z1FNvPQCN0sDkoeeTFjseuajs0A1odTSzNf87cipW9XkX2tixk7jpprtRKJRIksTDD99OYWF7VwClUsWVV97I3Lmn4Xa78Xq9eL1e3G4XGzas4tVXn/ePdcGCc1iw4GzCwiLweDz8/vvPvPLK01itFqKiYrjyypsYPnwMycmp3HzzPVx66XUAbN26gRdffCzocQ8ZMpwbb7yLn3/+hosuuorY2AQEQWDbto08++w/qKvzpScUCiUXXHA5CxdehMEQisvlYsOG1bzyytPU19ei0Wh56KHn2bdvF++991q7fZxyylksWHA2DzzwNxob61Gp1FxyybWcdtq56HR6nE4Hq1f/zquvPtdpNL2/IBPljEg9mZHpJ6NW6DtcL6Mz5pNXsYZNeV/3yqf0z4rw8DhOX/B3cvM2UFi4ncamKlwu+0GEW0AuVxIbk8rJc69BpdIiSRLlFTmYLV3/vhUVOWzdvpipk89EFEUmjD8VgyGSteu/oboqH6fLAUgIgohCoSLUEE1SUjbh4XEsW/Y+7iA13wRBRDgoLeabtMjweLqPQv5ZIQgiGmVIjy3KegqlvC2K1/4cq1QqFp51NqEGA7NOmMWZZ5yFzW7DarXidrm6JeNr1q7hyquuCEjYjcYGKiqKCA2NIC4uhUmTZvP7798GPfbsoWPJzPR1ejc01FBb2z/1lX8KwrZq1XJycvYxbNiB1nhRFDnzjHNITx/E5599xPbtW2horMfr9aLRaElISGTcuImcPHc+w4eP8pO9lhYjixZ9zQUXXNLBPumPjPc/eJsZM2YxevS4dlEunU6HTpcR4Ns+tDkPNDU1snTpYl5/4xVyc/cH9b0vv/qMc865kLCDUrMKhYI7br+XiRMm8/U3X5CTs5eWlhYEAUJCDKSkpDF16nHMnXMKqanpfluawqIC9u7ZxYIFZwZN2kRRzuSh55MZP7XT77TJPUwZegE2p4mS2sO1jGqP3Ny9vPzyk4wdO4kbbrij06aJ446bxUUXXcVDD93G1q0bGTQoi+eee4Mff/yKL7/80P/QMRhCmTv3NF588THKy0s5/vgTufnmu9m7dyfff/8FdruN9etXUlJSwJAhw1iy5Ed27NgM+IpwewKtVs+UKTNITc3gtdeeZ8+eHWRnj+S++57koouu4uWXnwTgzDPP56qrbubVV59nw4ZVxMUl8ve/38899zzO/fffgt1uo7a2mjPOOJ+vv/4Yk8lXVK9QKDnzzAswmYwYjU2AwPnnX85ZZ13Eyy8/wf79u0lLG8Rddz2KKIo89dT9veos7g2GJM5g/OAzEFv10g6GIAgo5RqyU2bj9rrYlPPFgKVTj3aIopyU5GFkpI/B6bJjammgqbkaq9WIx+NGqVQTFhpLVFSyPwVqNjexctUn3YqNer0eli3/gFBDNNlDpyOTyRg6ZBqZgybQYmrAZPJFYZUKNTpdGFptKEqlisrKPJav+BA6uWxiYtIYOmQqapUOtVqHSqVFqdQQFZnkXycxIYuLL3wEh8OKw2nDYbdgd1hoaKhg954VR7WV0Z8BSqWSc84+l+TkZP+9r1apUQcoPwE6lAJ1BZfLybp1vzF06FhkMhkXXnATtbWV7NmzKSDZS04exOWX34la7Zt4bN22ulPv5r7An4KwNTU18tI/n+GfL73ut10CH2kbM3oco0eNxW6343Q6kCQJudznydZGyNpC5maziccef5BVq5Yzd+58YmPjjtxB9TGqqyv5+63X8+wzLzNx4pReRQ/boo6RkVGce+5FTJ8+k388dDe//vpTwIt6795dvPvuf7npptv85FgQBJRKFSedNI/Zs+dit9twOp0H+eapkclk7QRMy8tLueOOm9BotJx88qkolcrudutHTOgg0mPHBzxuuUzFqPSTqWjYjdvTd84LZrOJHTs2o1AoujxXo0aNp6aminXrVmK329ixYwu5uXuJiIiitrZ9iP2tt15h7drlAHz9dRVnnHEeo0dP4Pvvv8BsNrFy5RLS0jJxu13s3r2d5ct/7fXYRVHgu+8+4+efvwWgrKyYuXNPY/ToCchkMtRqDeeddxlLlvzIl19+0OorWsgrrzzFc8/9h5Ejx7J58zp+++17Fi68iNGjx7N6tU8sOT09k+zsETzyyJ14PB7CwiI499xL+Pzzd/n11+8BKC0tYvDgoVx88TW89dYrVFX1f3egWhnC8LQ5yDppCjgYoiAyJPE4cspXYbT0Xuj2zwSP24XNbiZEH4FKqUEVlURUVFK7677tmStJXmpqivjl1/9QWhZYysRmM/HNdy9QV1/GhPHz0WlDUShUREYkEBnRsbtfkrw4XV3rSaYkD2POiVe2W3boM0KrDSVr8KQO26iozGHvvjXHCFs/w2q18pdLLkKp6rmUi9FoDDodvnrNz5x00kJSUgYTGRnLnXe8wG+/fcnqNb9QU1OOy+Vo3ZaAXC4nMiKWCRNmMn/+RcTE+KTAmpvr+fXXL/stBf+nIGwAv/32M888+yh33/VgO/P3NpKh1WrbFb0fDEmSqK2t4bHHH2DRom+QyUTy8nKIiYn9U6RFDYZQ5p18KmeddR5DhmT3yTYFQSAhIZFnnv4nTU2NbNy4rtv1vV4vr73+LyKjorjg/EuQy+XtfiOZTIZOp0fXRdRdkiT27t3NPffeyrZtm4mNjaOxsZ64uOAkWJKjRyITA5M7QRCICEkmRBNDk3lg7W+amxvR60MICTFgt9vQaDSEh0dSUJDb7gFgtVrIydnt/7fL5cZkakGr1fZLvY7H42HnzgMRR0mSaG5uIi4uEVGUER0dR0JCMm+//e923bE5OXux222MGDGGzZvXkZu7j7y8fcydexpr1y7H6/Uya9Y8mpoa2bzZd/0kJCQTGxvPxInTSUpK9W8rNTUDgyGUiIioASFskSEphGiiAq+Iz3czPjzrGGFrRVNzFe+8dxeDMyeQkjyc8LBYNBoDCoVPvNjtcWG1tlBfX0pu3iZy8zZitQYvY2K3m1n6+zvs2LGE7OzppKWOIjwsFpVah4CA2+3EamuhsbGSkpJd5OZvwu3ufPLVbKwlN3dDr+rp6xsq+rUW8Bh88Hg8bN+xvd/309zcwHvvvcDf//40ISFhGAzhLFx4NaecciGNjbU0NdXjcNpRyBWEhkYQGRmLTndA39DpdPDpZ69SXl7Qb2P80xA2j8fDe++9SWlpCbfdejfDho1sRwo6gyRJ2GxWVq1azksvPcPuPbsAX1H25i0bmD59xkANv18gCAITJkzmgfsfZfTocX6dGUmSMJlaqKqqpO4go/VDvo0oE1Gr1ISGhhIREUlERBRKpbId0YqMjOKuOx/gssvPC9hxarGYeeSR+8jJ2ce119xIUlJywBZqSfLS1NTEd4u+4tVX/0lVVSXga2TIydkfFGETEAnTxQdcrw1yUYlBGz3ghG3x4u855ZSzeOaZ19i+fRODB2cjl8v55puP263Xud1K/6bjOnY9tflL+mpMlEplhyJdl8uFw+FAr/fVHTocdhYvXsQVV9xIVFQsFouJ2bPnsWLFrzQ3++pM9foQBEHskBorKSmksDDPv15/I0wXjygE194vCALhIX8+se3eQpIk6upKqKsrYe26r1HIlcjkCv+9Lkm+ukxXa81Zr/dRX0rdqlJWr/kMhULdal0lIHk9uD2uVm/i7refn7+Z/PzNvRrDMRw5tGVhdDqfZZnL5cRqtXZohOoptu9Yy//9+0GuuvIeYmISW4M9erRaPUlJnZcO+d6nzXz22assXfpNvza49JiwNTc18sKLT6M8qL5r67buL/j1G9by1FMP+//tcrmo7UZLxe1289bbrxN1kDp+eUV5wNCz1+tl6dLFbN68nuOmn8CJJ84lO3sEUVFRfmN4h8NBi6mFqsoKtm3fzO+//8auXdtxONp3NH333VdYrVb/xGv9+tXd7rsNubn7eeaZR9sRxcbGRpzO3qfXfv3tZ6qrK9st27svcPpg+vQZvPzP14mJOdCm3NTUyAcfvM2i77+mvLwUp9PZ7QXWFv0KCTEwOHMIf7nkCuafcnq7tObYsRMYN3Yiq1YvDzgmu93Oe++9yeLFP3Li7JOZOXM2GRmZhIdHoFKpfFZAdhvNzc2UlhazceM6fv/9NwoK89rVLrndbl5/41+sXbsSAI/X26UxvSCIKBXaoKOlbesPNGprq9i4cQ2DBmVhMhlZvHgRmzatoaamY+RmIJveJKn7/dlsVux2O2FhEe2Wq1QqNBpNa22aD6tWLeXqq29h8uTjqKwsIz4+kV9/PaBzZzL56pwWLfqcpUt/7vNjCRYqpa5H0XWVoqN499ECgy6GQUkTySlZjdXeF4K8PYGEy+3otmM0MTqb1PjR/n8XVGympiF4yROv14vD8cfUGVQr9YwafDJyme99arLWszt/6VFVD+mVvDhcFkRBhiCI/r8PxUBko+RyORMmTGThWQuZOHES0VHRyBVynA4HVVVVrFm7lm++/Zo9e3YH9BntDJIksWnTcsrLCzll3oVMmjybiPCYTpUJvF4vJlMTO3du4IcfPiC/YE+/dyP3mLAZW4z897//7tF3tm/fwvbtW4Je3+Px8NlnH/Z0aH4YjUZ+/Ok7fvp5EWq1Bp1Oh0Kh8IXLPW7sdjtWq6Vblf+8vBzy8nJ6vO/Cwnxefe3lXo+9M6xatYxVq5b16DtxsfE88vDT7chaY2MDt/ztOlau/L1HF5bL5cJut1NXV8uOnVvRqLWcdNLJ/htUqVQyddpxQRE28N0UVVWVfPjRO3z8yXtotTq0Wi1ymRwJCZfLjc1mxWazdnvTrVq1nFWrgtlnAMbRxRgHGrGxCcybdzoPPvh3v6ju4YzD4/G1vAfShjtc1NZWU1iYy9SpM/j552/899WoUeNRKpXt0qlVVeVs3ryWE0+cT3l5CQUFueTm7vV/XlFRSmVlOTNnzmXFiiXtLGIGUp6hp/s5mr0t0xLGMG30BRjNNRRWHH3RJEEQUCn1hOqjSYoZToulvkeE7Y8OhVyJXhtJStxImk3V7C5YBkdRqtVsq+f7DU+hlGtQKnSo5FqUCi1qhR61Uo+6tYNUpdChbP1MIVMhExXIRDlymbJPhGQjIyJ58MGHuPiii9Hr9R0I4uDBWcyYMZPrrr2O1994jRdfeqHXOqNVVaW88+6zfPX1m6SmZJKYlEFkRAxKlRq324XR2EhlZQnFxTk0NNQMWB3jnyYl2hnaUp5/NpX3YHDmWecyePCQdhf1O+/+p8dk7VBYLBa++vpTTjxxjt//UBAEMgdl9eqF6vV6MZtNmM19b//j34fkxe40By0F4pU82IK0BoqKimHkyHHo9SEkJCSjVCo57bRzMZlayMnZTUVFGaIoY+zYSURHx5Cd7etInjXrZJKSUmloqGXbto14PB7MZhMNDfU89NDz1NRUIUkSLS1Gli37hZ9++rrHUdqmpgaqqys488zzqa2twu12Y7fb2L9/d+Av9wB2u4133nmVf/zjWf7619tZs2YZCQlJXHvtrSxd+jN79+70r+v1evn552956KHnGTp0OO+9117SpaXFyDvv/Js773wEu93O6tVLkSSJ1NRBqNXq1jo5DwkJSQwdOpKQEANRUb4Z8GmnnYPZbGb37m1+uZHewuZoCfp6kSQJi31gUrW9QXHlNkRBRmV9zyegA4Hy2r2U1+4lJiKDs2f/40gPZ0Bhd5pZs+MTZKKcM0+4F1E8+l7JkuTF6mjG6mjudj1BkCG2RuBkogKFXIVKoeO44ZcRHdrR77snCAkx8Mor/+bMM87E6/VSUFjA7t27qayowOF0oNPpSE1NY+SIEcTFxXP3XfcQGhrKffff2+vsliRJGI0N7NzVwM5dGw5r/H2Fo+/qOIbDhlKh5MTZc9tZP5nNJn7+6fs+iVCUlZXgdDrbWXj59NE6augcHZBoMJWQHjchqLUdTnOrPVBgJCenccYZ5wEC1dW+YvjZs+chSRLffSdRUVGGXC5nzpxTiYtLQBBE1qxZzuDB2WRmDqGmpordu7cjCG4uuOByrFYzq1YtwWKxIIoiyclp3HHHQ9jtdn755VuqqspZs2ZZOx9RSfKyffvmDvVdZrOJ5557mOuvv53HH/8XTqeDn3/+tkeEzWhsYtWqJX4Zjjbk5u7FarX4I6ArV/7Gk0/ex8UXX81pp52DxWLm999/5t13X22tJTqArVs3sGrVUtRqDcuWLe6wz59++hq73cb551/OjBkn+puCvv/+C38ka/DgbE4//VwEQaCgwEdETjzx1NZ6EuNhE7YmcwUerwu5LHCjiiR5qTUWHtb++hMtljq25x659HLQ+B8Wt/0zKLxJkgeP5MGDC5fHjt1lwmJvwuXuXtg4GFxx+RWcftrpNDQ08Ohjj/D1N1/T3NzkL5NpK92Jj4/n6quu4eabbuHKK6/i99+X8tPPPx32/o8W/OkJW2bmYI477jjeffedoL8jCAKXXXYZv/76K5WVlYG/cBBEUeSKK67ghx9+oKamHzzPgoBOryc1Na3dssbGBqqqe3YsXaPNzucAfMWeR+8jp7RuJ6PSTwko/ihJEsW127DagxNo3bZtI9u2bex2HafTwdNPP9DtOoMHD+Wii67mjjuu8XdMgk9Md9CgIYwYMZpffvmWtWuX++U82uDxeHjllac73e7GjavZsWMTarW21TLFF22WyxUECh55vRIFBTnccce1HT777LP3DlnXy5IlP7Jq1RLUai1utwur1dLpBMFkauGhh27rcr8ej4fffvuB5ct/9Xd222y2diR1xYrf+tVuq9FURqO5gmhDWsDGpUZzOTVNef02Fh8E0hPHIZcpKSjb2MFdISoslbjITArKN2Fz+Jo/UuJGEab3SRNJeCks34zF3tzp1iMMiQxOmUpEaBKiIGKyNlBVl0NR5Va/vE1MRAbRYWnklq5t9xLWacLJSBxPafVOjGafU4hCriYpZhhJMcMx6KPxej00GMvILV1Hs6l/u2n1mghS4kdRVLGVxJhs0hPGoVRoaGypYF/Ryg77Vyo0DEqaSHLsCBRyNQ3GMnKK19BkOvC8TIkbhVZtIK90Ax5v+8L28JB4kmKHU1S5DbO1AfDVwSbFDGNQ0iT0mnDMtibyyzZQUbfvqE6fH40wGAxcesmlSJLEA/+4n/fff6/Dc8XneuKmrKyMxx5/FLVazS03/41LLrmMxb8uHjDtxv7GUUPY5HI5Wq0Wp9OJ3W5Ho9Fgs9nQarU4HA5kMpnfgUCj0fjXA9BoNLhcLjQaDXa7HZfLhUwmQ6vVEhkZwdAhQzpN17XtQ6fTYbPZkMvleDweNBoN69evp7Gx0T82URT9GlpWq7XTZQBarZa1a9fS3Nzc4bu+F6bNv1yn87Whu9yuPvX0VCqVHYRZ7XZ7n120Kcmp7fTPJEmitq7mqJ4gN5kq2Fu6jNHpp3TZmSpJEnXGInYU/jjgRb9yuRK5XVdMfgAA1mJJREFUXI5arfFfq6IoIzNzKPHxCfz4Y0mvt+1wONo11RgMYTzxxMtERsZ0+729e3fy1FP39ei6OXRfhwOXy4nR2HdaeD3at8fO9oJFzBx5DUq5plPSJkkSNmcLG3O+wOHqb09eiZjwdEYPPpmG5lIaWw5ImwiCyMRhZxIVlkJ++YHJQ3hIPKnxozHoYwnVx9BgLO+UsEWFpXLqcbfhctupaSxAQCQ2YhBJMcOorNvvJ2xp8aMZO3QBpdU72xG28JB4Zo67nF/W/stP2GIjBjFrwlUYzbU0m6tQyjWMzppHVso0Fq18hhZLzwSce4KwkHhmjL2M9ITxRBgSqGksxONxMSJjNhmJ41m04llM1noAlAotJ026lsTWY3U4LQxKmsiQ1ONYsvENKmp99ZXhhgSmjjyPZlM11e3q6wTGDJlPesI4iiq3+ZYIAmOyTmHCsDOoby7FaK4hKiyFrJSprNv1Gbvyl3I0T26PNiQnJZOamkZZWRk//BA4S+R2u/nwow+56sqrGTlyJCEhIf738R8dRwVhk8vl/O1vfycpMZGwsDBefOlFzjnnXF555V88/9zz/Oe//2VIVha7d+9m1qxZxMfHExoWxtNPP0VhYSGPPvoYdbW1JKek8OOPP7Bs2TLuu/c+wsLCUSgVWMzmDvtUKpXcd9/9/POll3jllf/j2eeeZerUKSxbtozx48Zz/vnn8/db/05hYSGTJ0/m8suvoLm5mbi4OF588QV0Oj2XXXoZzcZm4mLjeP6F59i1axdnLzybs88+m5tuvonS0lKOP+54LrzwQlpaWoiNjeOZZ5+huLiI++9/AK/Xy/Tp03n7rbd4/4P3++x8ut3uDu3NBoMBjUaDxdLxXPQECoWC+fNPP+QFJrFv326O5oeQhJfthd/j8TrJTp6FRhXaavztg8ttp6R2G5vzv8Fsbxjw8RUV5bF69VIeeOBpduzY0moxFU1W1jB27drG4sWL+mxfNpuFd955FVUAIUqj0dirTqs/C0prd7Bq9zuMyzyDMF2cv2YTfEbVtcYiNud9RXVTbjdb6TsUlG9kTNY80hPHtyNsBl00iTHZ7Cteid1xoBZ0R95iduT9ypDU6Zw0+bout5uROB6FXMV3K572R59kMgUaZUiXEblAqKrP5etlj2Gy1OPxuhEEgayU6Zw06VpS4kaxu2Bpr7YbLGQyOZGhSfyw6nkaWyoRgMyUKcyZfD1pCWPZle+Lzg7PmEVK3CiWbHyDgvJNSJIXrTqMedNu5vgxf+Gb5U/gcFooqtjKxGFnMChpUjvCplWHkho3itLqnVisvgl+dHg6E4adwe78JWzc8w0erwuFXM2sCVcxafhCSqt3YTQfmezLHxEGgwG1Wk19fR0tLcE5CNTUVGOxWAgNDQ3KEaGv0BYM6K8mhKOCsLndbj788ANiY2M5bcFpHH/c8bjdboYOHYpXkhg+bBipqWks/nUx73/wPjExMZx15lnMOH4GhYWFpKel8e0337Dxny/h9XoZO2YskZGR3Hb7bZx++hlMnTq1wz5dLheCIDA0OxuXy8WI4cNJS02jrq6OTz79hKlTp/lbedUqNQq5nAcffIB5807h5Lkns2XLFkSZyIMPPsD8+acyd+7J7Nixgw8/+pBp06b5Nc/UGg2SBPc/cD9nnnkWc+bM4ddff0Wn03Hbbbfy0osvsWVr8B20wcBms1JbV0NMTKx/WVRUDJMmTuWnn3v/4hdFkdNPP7tdhyiA2Wxm/fq1hzXmgYDb42RbwQ/kVawlOiwDgyYGmSjH6jRS21xAs7nyiBl52+02HnnkTsaPn0JW1jBUKhW5uXt5551/s3fvzk5013oPl8vF1q1HRxHt0QwJiaKazVQ27ic6NI1wfSIKuQan20pDSwn1xmJcnr6JJgaDxpZKqhvyyUyaxM68xX6pjNT40chlSvJLO/tNpYApOIfTgkKuIj4qC4utEZfbgcfjwmzrfSOFx+ui2XTAnUOSJCrr9uN029FpgrMLOlzkla33E1sJqKzbj8tlI1Tvey7KZUoGp0yhrqmYooqt/vNktTezO38pJ02+jvioLIort2Gy1lNWs4f0xHFs2bcIu9M38U2KGYZGHUpu6Tp/VD4zaRJIEnsKl/nTpy63ndzStQxOmUJC9JBjhK0HcDgduN1uNFotCoUiKK01rVaLUqn0+Y0OUDo0KiqOG254BFEQeflf99HU1PdR5KOCsCUkJPDoI4+ydt1a9Ho9ZrOZ/Lw8Zp0wi/Xr15GRMQiFQoFWq+Weu+9lzdo1PqmO1rSc2WyhsKjQ/0NGREZSU1OD0+mkrKyUiRM6FptLkkRRUSGzZs1ixcrlDBs2DEEUMRo7dgdKQEFBAXa7naamRpRKX2TCv6yxEVV21w4C+QX5OBwOGhsbSU/zhXbDQkO59557sdlslJWV9cFZPACr1cbWLZsYPmykn1jJ5XJuvfVucvP2k5/f84iAwRDKBef/hVv+dme7ZgNJkli9ZmVQnqJHByTM9gbM1T2PoikUKkJDY6ivD/73iopMwthSj8sVmHDZbFZWr/7db9t0DEcHHC4z5fW7Ka/v2+7ansLrdZNbupaZ468gOjydyrr9yEQFmcmTqW0qpt5Y2qvt5pWtJzV+NDPHXc7wQbPJK1lHQcUmfz1Wb6HXRhIXmUl4SDwqpQ61KgSFTDVg7jGNxvaOGB6PG6/kRdYaBVEpdeg1ERRXbutQl9bYUg4SRBqSKK7chiR5yS1ZR0biBOKjh1BUsQVRkDE4ZQrNpiqqG9pqGAUiw5J93sUjzmm3Xa06DEEQ0Wva6xUeQ/eoqqyisamRtNRURgwfwcZN3dcMA8ycMRODwcCePXswmfrH1/NQ6PWhDB06FiTJzxH6GocvjtIHSEtLw+l08tVXX+Ny+TSc8vLymDJlKps3bUan02G320hKSsJitfDNN1+31tW0peDap+LKy8tIz8ggJiaG0aNGd2ninpebx5TJU9iwYQPR0dE0N/m6TpRKJTKZ2Pr3AXeAQ9E2I2v7RBAElArfd5RKZWt4VEI6JK3kU/l2s379et59790+jZ60joyvvv603YUqCAJDhw7j3Xc+5bJLryYxMRmFQtnpw1MUReRyOaGhYYwYMYq//vVmPvv0O+677xFCDaHtvD3r62t55ZXnO3QC/hmh14czeuQJyMT2DhoyWWf/9t1aI0fMJCQkotUi7ai43Y7hD4zS6l3YHSYGJ0+mjRxEh6eRV7oOj6d3Ku9Wu5Gf1/6LpRvfwOm0MmXkOZxz4kOMGDQ7yGu24zMkK2Uq58z+B1NGnEtYSAKS5MXuMCExcCl2TwAvYFGQIYqyDmTN9103EhIy2YF3R2X9flosdWQlT0UQRAz6GBKihpBfthGny1ebLAgCCpnvZa1S6lArQ/x/vF4PheWb20UejyEwautqWb58GXp9CE89+TRZg7O6JP0ymYwZx8/g3nvuA+Crb77ss5raQFAp1chl/RsDOyoibLt27aKmpoa7776b0tJSysvLKSwqJDc3h/z8fLZv30ZjUxPbtm1j1gmzuOvOuygtLaW4pLjVY3Jvux8lJyeHlStWcPfd91BQkM+ePZ0rEOfm5ZKTm0NRURHbd+wgPz+fsLAwrr/+BgyGUK684koWL15MbV0dRcVFADQ1NVFUVEhDYyPFxcUHlhUXExkZyV//ej1arY5rrrmWn376kYaGBkpKfTPfxsYGiktKyMzMxOV2MXnKFGJiYti/fz+vvtozMeJA2L59Kx9+9C7XXXuTn3QKgkBqajqPPvoMf/vbnRQW5lNaWkxTk8+JQZTJ0KjVhIaGExcXR0JCEjExcWg0mnYSIYBfI+zRxx5k164dfTr2oxlxcRnMnHEBDoeVDZt+YNTIWUSEx2Gzm9m46QeyBk8iPn4QLqedDZt85uVymYKJE+ZTVrafqur+85k7hj8/LLZmSqp2kBo/Bo3qGzISxuNyOyiu2n5Y23W57eSVraewYjNRYalMHnkO00dfRF1TCTWNvmv24InpwVAp23dea1QGpow8nxZrPYvXvoLFbgQkDLpostNnHtY4+xIutx2X245GZUBAaNdopFH5LNIstmb/MofTQmHFZoalz0SviSA1fjSCIFJYscm/jiR5sTlM2J1mlm78jz91ejCOhCj3Hxkej4d/vvxPZs48gWnTpvPjDz/z/Q+LWLduLZVVVbhdLtRqNWlp6cyaNYuT584jLCyMFSuW8+mnnwzYOFUqNTKZrJ3Yd1/jqCBsJpOJRx59pEMn522334YkSbz9ztv+ZQ89/FCH9Z57/rl2//Z4PLz73rv+9VQqFaeffgZ6/YEHi9crsWrVSu6443YkSeLf//4//2dPPfWk///btrttm0+tfefOnezc6RMC3dpae7Zjx3Z2tJrTPvHE4x2+u3GjL4S7ZcsWtmzZwu2338FPP/7I4l8XM23aNObOPbk3p61beDwe/vWv5wgLC+Pccy7y+6q26dX8P3tvHR5Jdt5t36egGdRippE0Gp7Zgd1ZBi/bXkM29nqNMVPexHHgc5zYiZ3Eb94kTuI4ZkjMu6Zl5t1hZpBGzNxq7q6q749u9YxW0C2NWtLM9n1dC5Kqq05VV516zgO/p7CwiMLCIq666popE0iqkEU8nNzMV7/6Nzz73FNvqAlozDvISy//kjfd8gEqK1ZTWFDJ08/+kK1b7qa+bjO1Net54qnvsapxO3UrrgAB27a+mXMth+jpXb5aXVkuFQzOtO9kZdU1VBSvo6p0Ix29R/Elqh4vFk2P0TfczL4TD/G2G/8/cpzFSYMtEgkiCRmr2XVBlaegNL+BCzViLCYHdqubM+07JhUt5LkrMClWlgvhaIC+oWYKc2uxWdwXjFVQUbwOTYskz32Cpo7drK+7laqSDdSWbqZn8Awjr5MJ6eg7TnXpJoryVtCaqBzNcnEcPXqET33qE/zHv3+D6upqPvmJT/GJj38STdPQdR1ZlpOOCV3XeeHFF/j0pz/JyEh68kwLgcU6t3Z282FZGGwTTKetshDbaZpGR0f7pKo4wzAI+AMzhDrnb4Ck89mHH36Yj37ko1x//fUEQyF+8IPvz/t4s+Hz+fjSl/6KkyeP87GPfpqysoopnjJIvwecpmn09fXy8MO/5cf/8106Oxc29+5SQE/kwei6hiwr6Hp8wtC0uMjqxN9isQgmkxVZVolEg+S4C5Ekga6/cYzbLJmhf7iZEW836+tuxe0oZNfRB6fMO6piwWUvQJFN5LrLEAgKcqqIaRFiWgSvb4BYomBiXd2bCEcCDI11EI2FMKk2VtfcQCwWYcR7Xousb7gZw9DZvOot7Dn+W2KxCGWFq1hRsW2S6G0o4iMQGqO8cDW5rjJCET/5OZVsXfP2KXI5kqSQ4yhCUcwUeKoRQsLjLKEor45YLIIvOEQ4khnJFMPQOXTmSd583Z9x7ab3ceDUo0SiQcoKGllX9ybOtu9ieKxz0meGxzrpGz7H6tobcTuKePnA/0ypCGzu3M2qmuu4ftP7sZgcDIy0IoTAacsn31PFkTNPJ2VgHLY8rCYnJpMVs2pHkmRK8xuIxIKEI/6Myp9cajz9zNO89Z4384lPfJI7br+TkpISVFWNy3HpGoHxAGebzvKLX/ycn/7sp4yOTjbWhBCYTGZ0Xc9ICo/N5mC69ICFZLlK01/2SJKEEAJd1zPuoRJCUFJSxl13vYXbbruLlQ2rcLnc0za0vRBd1wgEAgwM9HPs2BFeeuk5Xnn1RXp6ut9QXrUJ3O5Cbrn5fQwNdaMoKq+8+iBbNt+BOWGYvbbjN6xefS0uVz6qYmLnrt+zbt2NnDq9k9rqDYyO9dPUfCD1gbJkScHGhju5ovFuxnz9PPLKvxCJTm6/V1G0lhs3fwhZVhMNuyV0Q8cwdKKxMM/t+W4yUf6aDe9hVc0NSEKgGxpCyIQjPvafepQT515M5upKQmbzqreyoeE2JKGg6TECoVEOnn6cKxrfwo4jv0h6lBqrr2P7+nchS0rCSIxy8NRjVJWsp2+omf2n4ukCOY5i7rjmj7GoDoQkxXPmDD258Nlz/Lecan1lTtemJL+B27d/lhf3/ZDWnvMeLrPJzjtu+htaug+w6+gDid/GBYm3r7sXuzU3Ma8ZNHfuY+fRX02SSZlg4twCoTEeefmfCYSmFqq5HUVcveE+ygtXIyXkYHRDo3foLE/v/CbhaAAhJG7a8mEqitZMaqhuGDq6odE/3MJTu76Jrs/c83q5IwmZO7f8GaV5MxflTdDSu5/nDv13yjxHIQS5ublUVlZRXFyMyWTC7/fT2dlBR0fHtJqmqmri3ns/wZXbbiYQ8PHAA9/i4KHXkn+3WGy8973/B5vVMfeTTFBaWk1Dw3pCoQB/+rl30tfXmfpDcyRrsL3BMJlMFBYUUVlVTUVFFQUFhTidLlRFRdc1IpEI3nFvvDNCTze9vd309fXg8/ne0JpcMNH+REWWFaLRCLoeQwgJs9lKNBpG02KJRtY2orFI3OummBLJ4AJFUYlGF08GIsvliyQpqIoZXdembf0jSTKqYmH6Fb9BNBpKSthIkoLTlofdkoMsq0RjIcZ8/cmOCRcS9xQV4LTnoesaI95uQhE/ZtVKVAtP8jY5bXm47IUYGIz5+vAHR1AVc1yVPlEQIISESbXOME6IxcLTFgXMem2EjKpaiMZCU7xfZtWGpseSx0/+3mTH4yxFkVV8gWHG/P0zyqFM7N8w9GSxwbTbSQpuewF2qyfRb3aU8cDgpOIQVbHM2D/U0DUisZn3fymQCYNtPlRVNfBP//RTrBYbhmFw+sxh/vZv/yjpaXO5PPzHv/+enJy8iz5WMOjPmMG2rEKiWTJPJBKhs6uDzq4OYG4r1zc68fYnEWKxyAW/0wmF/JO2CYXP/3x+WyNrrGVZMHQ9Rjgys+dF17W0Q4m6HmPM15eWNphhGHj9/Xj9/ZN+H36dhw9gPDDE+OukQSa0487vT085zvycShqrr08rdaO99whtPYdn3Od044R4QcF5aY7Z0Y30rq2uxxgZ75mS43YhC9FnM0tqdF1D17TzkaFZIkTLOXqUNdiyZMmSJcuyRZbUZNVmKiYkNbJcXkiSdFERnu7uNn75y2+y7cqbCYUCPPLIT2bMYzt16iBnzhyZ8zGqqhrYsGGqSP9CkjXYsmTJkiXLsqVvuJlndn9rqYeRZYlQVZW/+/Lf4/P5ePDXD3L27NyF3zUtxqOP/ZQnn/oVhqHP2h95x46nefSxn875GDfc8OaswTYTAimeTyQpiYRNAYhkwqamR9G06KI38b7UEAhk2XTBdZQwMDAMA12PoemxRA5J9jpebggEkpR4hqT4dz+hR2UYOroeI6ZHL+mk5yyZRxIKiqwiScq095CW+OfynUMEsiQjSyqSSFyDC8TFJ95JE9diMcWDLwfy8wu4793voaCggDNnzszLYJsglUaaYRiMj4/Oa9+BgI9M3+OXhMEmEJhVB257MXmuSjyOMly2QqwmJ6piRZFNkypxYlqESCxAMOxlzN/L0HgHQ942vIF+otryzxmQJGVSY/LXE6/2ml9/NEU247IVUuCqJs9VhdtehNXkwqRYkZPX0UDTNWJamEgsSCjixRvoZ8TXw7Cvg/FAP6GIb9H7bsYNjMzfsrqhpey/eKkhEJhUO25b0YzPkCwpTNQhaXqMqBYiHA3gDw0zMt7FoLeNofF2QpGplXMXy8RLbaE5f06ZI1Njv1jSeV7mmtAvhITV5CLXWU6+q5pcZzkOSy5m1YGqmJEkNWmw6XqUqBYhEg0QCI8w6u9lyNvO0HgHvuDgnI+9HJAlBYvJhctWSI69hBx7MU5bQWIOtaEo5ngnFM5XfGpGDE2LEI2FCcf8+EMjeAP9jPl7GPX14AsNEYmFuHwN2oujpLiYnJwcRkdH2bd/X0aPpesaPv/8WlkFg4GMyzYta4PNYnJSmttIVeEmCnPqsJtzEqu49Cfg8vy1QLwqyRvop2voBK19+xn0ti3LCUOVzdy84RM4rQUzbnOuby8Hmh5Ke58CgdteTE3xVqoKN+K2FydyPUTa13IiEVM3YgQj44yMd9E9fJLuoZOM+rqJ6ZlvTVWS28j2Vfdn9PVrAMfanuZ058sZPMriYVJslOSupLroCopy6rFbPMhSvN1O+s/RCoyiLfECi6iPcNS34O+WtoFD7D3zGxZyxxaTk9s2/XHGxVr7Rpt59fiPl503vySvke2N75lx8acZMV488n1GfKmr2UyKjbK81dSWbKMoZwVWkwuRjGykh2EYGBhEY0FGfd20DRymte8AXn/vsrt2EwgEFrOLfFc1pbmNFOaswGUrjGumifMdZObKxLXQtAi+0DADo+doHzxC7/BpgpHF6X15qWAym1EUhZGRkSnaaguFYRhoWoxIJILfP78FaTgcRNMyG41Ylgab01pAQ9k1rCi5CqctH4E0r4cCSIZKVcVCnquSXGcFqypvon+0mZPtL9AxeDQpILkcEELCZSsix1Ey4zb5wX7SVWRx20tYW3UrNcVbsKiOxDHmfi0nPiMLFYclF7vZQ3n+WmJamBFfF/vO/o6uoeNz3u9cUBULHkdpRtWkDcPAYnJmbP+LhUV1sqL0KhrLryPHXjLnl+vriXfJkLGZ3djM7gUcaZzB8fk1Lp8NScjkOEowq/bUG18EgfBoRvc/X0yyNfG8TJ+sbxg6ec7yWQ02VbGyongbqytvxuMomxTumytCiES0xE5hTh2FOXWsq76dtr4DHGt7hhFfN8vDyySwmlwXLHTqsJlzLurcpxwhcS2kxJyWYy+hrmw7vuAQrX37Od35CqP+XpbH9Vhaxr1eQqEQsixPK/y+EAQCPv7t63+BLMm0tc0v5BoOh95YBptFddBYcSOrKm7CbvFk5MU80Zy3NHcVxZ4GeofPcPDcI/SOnLlkwmBWkxtJkmfNLVIkEw3l17Gh9i7s5oW/lhP7ixvCVRlvyZElPSQhU1m4kStWvBWPsxwp23A+y4wIPM5ymFZ1QlCYU8vW+ndS7GlAkuSFPXJivrCanKwsv57Kwo0cbX2Kk+0vLFnaiiyp5LuqWFFyFZUF67FbchfUSJuNuAEn47IVsq76DupKt3Oq4yWOtT0b92i/gWnvaKe5uZkVK1ZQUVHJ8PDwgh9D02KcOLH/ovYxOjrI44//HCEkAvP00qViWRhsAkFJXiPbGu4l31XFXEJ18z6mEMhCoTRvFQU5NZzseJHD5x6/JB4Os2pHkUxEZjDYbGY3V658NzXFWy4oyMgcgdAog96F95BkmRtm1c7murexsvw6ZMmUNaKzzIoQglxH2ZTG55KQWVl+HZvr3o7F5FyUudhmdrO1/p0UumvZefLn+MOL1wNSVayU56+lsfwGinLqUOSlfXbi1yOHTSveQmneanac/BlD3rYlG89SMz4+zjf+6z/4xn9+k49+5KN87s/+lEgk8yk4c8XrHeGnP/uPjB5jyQ02WVJZU/UmNtbejUmxLfqDIoTApFhZX307he5adpz4KcNp5HQsJWbVhqqYicSmikC6bEVcv/ZDFHsaFuVaGoZB/1gz4cjyN3QvZ+wWD9eu+SAV+WvT0qvKkgXAaStEUSxEE4r6sqSwoeZuNtTehSypizofS5JMddFmLCYXLx79Hr7gwjS0nw2TYuNNmz5NiafhotMGFhohJIpy6rh146d56dgP6Bk+vdRDWjIeePABioqK+dM//RyhYIj/+u//oru7i1hs9hBkvEr38gkrL6nBpipWtjXcm/AIyGS6mms2hJAo9jRw6xWf5ZVjP6Z7+OSSjSUVsmzCrDrwhyavQt22Im7a8HHyXdWLOvF0Dh7LlqovIVazmxvWfYTS3FXzToCejuX08sqSGWzmHKwmJ9FYECEk1lXfycYVdycLUxYbIQTFnnquW/NBXjj8bUIZjnhEtRDB8NiyM9YmEELgsOZzw9oP88zB/2IoA7meyx1Zltm6dRv9A/0cO3aMT33q09x7772cOn2agf5+orMYbcePH+Nf/+1fLhujbckMNpNi4+rV76Wu5Mpl4xEQQuC0FnDTho/xyrEf0z5weKmHNC2SkLGaXJN+Z7fkcsO6jyy6sRaO+ukdSa+ly8USl0+IIQwJEkm78MY2LBTZzPbG98zJWJvQhgpGxvEG+vAG+gmER4lqYTAMFNmExeTEaS3AbS/CbvbMuTp7hiNjGCQkH2JEY0HC0bjMQd/IWRY+wdpA06PxfpLZ+2Va1ITMjzfQz4qSKxPG2tIGXoQQlOWt4oq6t7Hr1C8yKpliGDonO16kqnBTovfq8mPCaLt69Xt55sB/ZtyIXW7YbDZ+8L0fUl1dnfxdUVExRUXFKT/73HPP8q//9i8ZHN3isiRPpiKbuarxXfMy1gzDiPdyi/oJhEcIhL2EIz5iehQBqIoZi+rEZs7BZslBVaxzSrwWQmA1ublu7Qd54ch36R5afp42SchYzecNNpNi5epV91OYs2LOL23diKEbery32kTlkpATScapcwlHfF34QkOzbrNQ9Iyc5pHd/4RZtSf+cWBW7VhUBxaTA7PqwKTaUGUzqmJBlS1xTSQhJUWBL6+XtWB15c3UFG1O67wMI27AdA2d4Gz3DvpHmwiGx9GN6VeokpBRFSt5zgpqS7bFw1WqI+1rqOlRwhE/wYgXf3iU8cAA48EBxoOD+IJDhCLjhKP+uFGVgZdyMDLOE/v+DUviPjGrdswmR+LniXvGhipbzt8vspq8VxYj/3OpEULC4yjFHxpla8MfoEgmUkU6Ju6jUGQcf3iUYHiMSCyApseQhIJJsWAzu7FbcrGYnPMKrQoh0VB+LZ2Dx2gfODT/E0yDgbFz9AyfpqJg/TxkSnQ0LUoo6iMUGScU8SXvacPQkSUVs2rDanZjM+dgMTkS4rpzvR6CopwVrK66hQNND/NGqh7VNI0DBw/Q1TX3VKVjx49lYERLx6IbbEJIbKy9i/rSa9I21iY0a7yBfjoGDtM5eIyR8S5CiQdj8s0bNzoU2YTV7CLPVUVlwXrK8tYkSrNTPyhJo23NB3nm4H8xPN4xv5PNEEII7GZP4v8lNq54C5WFG2c5t7hnIxoLMurvZdDbmhSvDEbGicZC6HosXoghmTCrduyWHNz2EvKcleQ6y7BbcqfodxmGQdfQiUVTwo/GQgyMtczw1/iYJCEhJ9T7ZUlFVSyYVBt2Sy5Xr3oPNnPOoox1Mch1lrG++va0KvgMw2DE18meM7+ha/D4jEbahcQXRj66h0/SM3yKE+3Ps6Xu7VQUrE+U18/+LA2MtfDike8TjHjRtMiia20Zhp7i2RWJe/78/aLIZkyKFbNqZ9OKt1CSu3LRxrtUVBduprJw06zV5BNG2pC3jdb+g/QOn8YbHCASDSaM7clzsCQkTKoNt62I8vy11BRvxW0vjs/OaRorimRi04o30ztymkgixy4TaHqMkx0vUpa/GlnMHAo+75n2MjzewcBYCwPeVrz+fkIRL1EtjK7HEldi8vWQJQWTYiPHXkxZ/hqqC6/A7Siek2SVEBKrKm6kqXsX3kDfRZzxpUUgEOB9779//np3l0k4FJbAYKsp2szaqvReMhC/4GOBXo61PkNL3740VNYT4oxaiGgghDfQT2vvPhzWPBrKrqWx4gasJnfKL38iPHrN6vfxzMH/IrTMxAztllwAqguvYHXFzdN6EScmmBFfN809u2gfOIw3MIA2B5HbuEK+Fbe9hNLcVVQUrCPPWYkim9H0KN1DJxbsnC6OCWFfDV3TiE44bBISe2a1l2gsDJdJb2ghJNZV3Y7ldaHx6TAMg57hU7x87IeMzzOR28BgeLyDF458l831b2dN5S0pn+ECdy2leauWsQhxfDKPaeFptBgFDeXXLsmoFhMhBEWe+uT/v56JiEbP8CmOtj5F78gZYlqq+SP+mbjHaZy+0SaOtz1Lfdk1rK+5I635d2I8+a5qKgo20Nyzaz6nlzbdwycZGGulKKdu0tji5x/DGxige+gEHYNHGfK2E4yMz6HbTNzYDUbGCEbG6Bk5zdHWp6kt3sqGmjtxWPPTNkasJjf1pVezv+l38zjLS5eLafyeLoqiYre78HqHUxp5TmcOa9dspaysmmgsSsu5k5w5e4RQKHMLC1hkg81lK4y73WVTWttreoym7h3sb3oIf2j+2isGBuPBQfY3PURL336uXPmHlOWtTunhi7uh67hixVvYeeqX824HlQls5pzE9XzntNfTMAy8gT6OtDxJS98+wlH/vI5jYBCOBugfbaZ/tJmjrU/hcZRRU7wFj6OMEV/XxZ5KlnngcZRSVbQp5URvGAbDvs6LMtYuJKqF2Hf2N1hUB3Wl22c9viRk1tfcQcfAkWUrLptl5pw+wzAIRX0caHqIM12vXpTAeCjqSxp81635ILnOijSNNomV5dfR2rc/o51pYlqYUx0vUeiuBSTAIBAepXPwGM09exgYa5m2Kn++hKM+Tna8QPfwKa5d/T5KchvTNtpqirdwrO3pec/pWaZn3bptfPQjf82hQ6/xxJO/oqOjadrtVjZs4KMf/Wuqq8/rE0ZjEY4f28v3vv9P9PRkToJl0bL9JSGzacVbcVoL0roxY1qEA02/57UTP70oY20ycS/Bc4e+xanOl+PJyCkQQtBQfh0V+esWaAwLg8dZyvZV78FlK5pyPTU9xtnuHTy+91841fnSgj7Ymh5l0NvK3jO/5rlD38poqCLLzNQWb8Ok2FJuF9Mi7D396wUx1i7c576zv8Ub6J91JSqEwG0rYkXJlQt27CyLg2EY+EJDPH/425xof27BusEMjLXwwpHvMObvTStUJYSgwF1Djn3mzi8LRfvAIYYSoc4dJ3/GQ7v+gZeP/ZiuoeMLaqxdyJi/hxeOfJfekdNpXw+XrYA8V1VGxvNGZtu2mykuruD2299F3YrV025TWFDKZz7zFWprVyHLSqIDjMCkmtm48Ro+85mv4HTmZGyMi2awleatoqZ4S1rGmqbHONj8CEdanszIqioSC7Dr1C850/1aWt0NFMnEFXX3YE60dloOuG3FVORPTZKNaREONj/Cq8f/N+PFAHMJrWZZOFTZnFaCdDzH8DhdGQhb+0JDnOh4nlTJz0JI1JVuR5XnX4EnSTKqepnEsi8BDMMgGBnjpaM/yEjKw4ivm52nfpG2EajKFsry1yz4OF5POOrnuUPf5PG9/48T7c8nHAWZz38KhEd57cTP0vZCS0KhxHP551YuJhaLjZUNGxBC4PWOcPzE1CbzkiTx1ns+SFlZDRBvZ7Vnzwvs2Pk0Xm9cYqtx5UZuvultGRvnohhsimRiffWdiQqk2TEMg+aeXRxtfSqj5dwxLcye0w/SM3wm5cpGCEGeq5L60qszNp65MmHZX4imRznY/DCHzz2WNaYuY1y2Ity2opTbGYbOma5X0yowmA+tvfsJhlPndubYS8hzVcz7OKsaN/Oue/84Y30Es0xG06OJufFUxo7RNXScc7170vYqxUOGmf/+x4ODS9Iaa8TXyfG2Z9NyIAgRbxu2XOSwLgdcLg/5+XGZkPb2swwP90/ZprS0mmuvuQOI9w399nf+nn/+5z/hX/7l8/zb1/8Cn9+LEIJrr70TiyV19GM+LMo3XpLbSJGnPi3v2ligj31nf5fRfIUJwlEfu0//ilA0dd8vSUisqrxpiv7ZcsEwDE53vpJxQzfL0pPvrkaRU3uc/OER+kanz8NYCPzhEfrHmlNuJ0sqJbmN8z5OXm4xQohFSTx+o2MYBud699LcsyfDx9E50f5CssNCKjyO0rRSAC5lmrp3ThFDnwmnteCivNZZJpOTk4/ZbAXgXMupaTsoXHfdXbhccXWGPXueZ8eOp9F0DcPQOXp0DwcPvApAaWlV0vhbaDJusElCZmXF9WmJMeq6xpGWJxYwZy01g942Tne8nNZKz20rpLpo8yKMam4YhsGgt40DTQ+hLZLERpalI8+ZnrdqeLwzoy3DDEOnd6QprWenwF0zb49Ab187drsLRVka9f03DgbBiJfD5x7PmFf2QoZ9nQyMtaZ1/1hUJ45EZfzlij88StfQifSuhymuLZhlYbBa7ShK3Ebp650qBWS3O7nqylsQQhCJhHj6mQfRtPPPiK5rnDx1AACTyUJhQWlGxplxg81tL6Y0jQoYwzAYGu+gpXdq7DizGJzsfCnNZsOC+rJr0vJuLCaaHuVA00MEl5n0SJaFRwgJp62QdArKhsc7M659NurrShnGiSdKF6WVEjEdXd3n8PnGeOfbP8m6tdtZ1bgl+Y/T6ZnXPrNMxTCguWc3o/6eRTmersfoHEpP2FSRVRzWvAyPaKkxEjmDqZ9ZWVKxmJZPTvWlzoW6kqHwVK9vQ8MGSkqq4ilbzSdoOjv1vh0c7AMMZFnG4XBnZJwZl/WoLNiQtiv7bPdrGavGmQ1fcIjW3v2sqXrTrIalEII8ZwX5rip6R84s4ghnxjAMuodP0TV0fKmHkmURkISMzewmHTX6xWie7Q+PohkxJGbXZDOrNlTFOq/8oIb6jdRUrUI1mVm1csskI/TB3/wXJ07unfM+s0wlqoU4272DxVTR7x89h27EZhWsjSNwWC53gw2GfV3EtEjKNlmSkLIetgUkEgmj6xqSJGGxWCf9TZIkrrv2zoSH32DHzqcJR6bOY7HY+bxxWU5PZ3auZNRgkyWFioL1aW0biozT3r9UvTsNmnv3sLLietQU3jNZUqkq3LRsDDbd0DjV8eKi5PxlWXokSUkrd8VAX5Seg5FYEEPXSGGvIUsmTIqFwDzUIY4c3cHJU9N73iORhZGbyBKX3FhsXcXx4ADRWAjZlDrcbTVnxmuxnAhFvERiwdR9TYW07CI9lzJjY0NEImEURaW8rHbS30qKK9l0xbUIIRgZGWLfvpem3YfFPOGYMohpmUkpyGhI1GHJI9dZnlY4tH+sedF6Uk7H8HgHY77UoQAhBKV5q5ZNwud4oJ+e4dNLPYwsi4QslPS6hBigaZk34g1dS6vI5Xx/2rmjaTFCoQChUIBwOEg4HEz+nI6WYpbUGIZBx8DRRWszN0EkFiSUpk6kWb28iw4AIrEQ0TTkTgTxZyrLwjA83M/QULzd18aNV5OXF6/CV1UTd999P25XLoZhsG/fi/T3d0+7j3ihQbw4KhjMjKhxRj1s+e5qTIo19YaQSLZcuiqwmBamZ+Q0ea6qlAam21aE01aw5D1G4+HQk0sSRs6yRIh4r9x0WJTenSL5r9k3E6Q97ulwONxsv/IOamvXYug6Z5uPsHvP0wQCqSu8s6RG06NLEjXQ9RiRNAw2IUSio4vgcm58bhhGmgstQTrPXZb0CAR87D/wCuXltZSWVvNnn/sXDhx8harKeq5MFBv4fGM89fSD09opQgiqquIt3mKxGKMjmUlHyajBFm/zkY5QbpT+0XOZHEpa9I6cZU3VrSlfLIpspsBVvfQGGzrdQ5nTSsqy/DAMDT2dhY0ARcp8VaUklLRW+rqhz1tuxmqx88H3fQFZUWg+dwxJSGzedCP1K9bz45/8YzYsugAEwqN4A1O1pzKNYehp9CaN88bwKBlZWaYl4umnH2T79lspLCilsXEjjY0bAZKSQs899ztaWk5O+1mLxUZd3dqkYTc03JeRMWYsJCoJmVxXZVraa8GIl/HgQKaGkjYjvm6isdRJ0RPtUpaaaCzM8HjnUg8jyyKiadG0XnACCfMiVJGZVXtaoU5NixKNzc+wqq/fCMC3v/PXPPrYj3j40R/w39/5Ak6nh8qKrOL7QuAN9C+Jp96Yk4FyMT7aLFlmp6enje9+96v090/O44xEwrzyyuP8+jffm1ELsqqqgZKSSgzDoLX1NF7vaEbGmDEPm6pY067q8QWHiESXPqwXDI8SinjTypXIcZQiCWVR9IpmIhgZIxgZW7LjZ1l8dEMjEB4l11mWcluXrTDj43FY85DS0FiMxILzNgjcrlz6BzonVWYFgz5GRvpxOnLmtc8s5zEMg1F/75KmpGTJshw4cOAVvvSlD7Nl642UllYTCPg4fnwvx4/vJxqdecHZUL+egYEeDMPghRcfmqTRtpBkzGCzqI60dWLGgwPLwg0c0yL4QsO47alVih3WPFTFTDi6dAZbIDSaVoJqlssH3dAY8/dSlrc6LQkaIaSMvojzXVUp/R4TEiPphr5eT09fG9dcfTeFBeUMDfcihKC4qJKSkmqefObn89pnlskshwjHGwmBOJ+PmvivQCDLprSiUlkyR19/F4899rM5feaJJ3/BU08/AGS2cj1jBpvN4k6ru4FhGIwHl6469EJ0Q8MfGsYwjJQPjUmxYlYdhNOscMoEgfBoWqrYWS4v+seaWc3NKbfLc1ZiM+dkrHOILKmUeFam9YIZ9LbNe1HW2nqSpuaj/J/P/isjI/0IIchx5/Pyqw/T29M6r31muRCDQJotkbK8HoEsKaiyGZNqT3YgMCs2TKoNVbagyGYUWUWWTCiyiiSpyJKCLKmJf5Tz/5VNON8AenOXG9Ho4vTuzpjBZjW50k4SDYZHMzWMORMIpxdiVGQTFtWBl8wkF6bGSOhsZQ22NxoDo+cIR/0pPdhWs4vy/LWc7nw5I+PIdZaT56pMuZ1haBfVSDwWi/K7h77D/gMvUF5eh65rtLWdoqu7JRvGWwAMwyAYyVbbpoMim7Cbc/E4S8l1VuBxlOG05mM1uTEpViQpLrszm9c560HLMl8yZrCZVQfpVIgaGIQiS+elej2hNCcuSchLqjRtGHEpkkygKCoFBQUUF5fgcMS/x0AgwNDQAIODA/j9/jl59lTVhM1mIxDwE41mBX4vlvHgIANjLZTnr00x+QtWVdxIa9/+BfcES0JmVcVNaYl3jgeHGBhruajjaVqMltYTtLSeuKj9ZJmKYehpFVu9UTGrDgrdNZTnr6PIU4/LFm+8LoSUNb6yLCoZNNhs6d3MhkE0NrV311KRfvGDwLTEQo4LLRoqSTLXX38jH/6jj7Nh4xW4nC5UNS4NEYvFCAYDdPd085d/+afs3bsrrX16PLn88z//O5s2bmbvvt381V/9KWNj2UKJi0E3NJq6dyTy2Gb2YgshyHNVsabyTRxsfgSDhfNGVRSsp7Z4a1qi2K19+y+q60JlRQONK6/gmeceyHrUMoBuaIsumLvckYRMrrOCutKrqCzYiNOahxBy1kDLsqRkzGCbS9uMmL448d90mEtidKo2VplmIYVRhRDc+wfv5itf+b84nc7kxDThSTOZTJjNZgzDYGgw/QTlrVuv5M473oyiKBQWFvGrX/2MF198bsHG/UalffAow75O8pyzS+dIQmJdze2MhwZp6tqxIPdMgbuG7Y33pfWMByNeznS9elHHq6pcSVnpimy+ZoYwDCOltp/NZicWi132mndCSBS6a1lbfRvleWtRFUvWSHuDoKpmFuqrjkQiZCJdKWMGWzql/hA3OrRltLrT5iDTkU5RxaVCaWkZn//8/4fT6QSgtfUcjz76EE1NZ4hpGm6Xm6rqGiQh6OxKXzBYUdTkhCeEyFhT3DcakaifY61Pc93aDyGL2e9DVbZw9ar7sZncnOh4ft7hL0nIVBRs4KrGd+Ow5qfhXdM51fESo/7eeR1vgnHfKEKSECKeCpBlYYkb8ZMvbFlZNUIIcnPz0TQNjyefoaF+wuEgmqbR1ta0NIPNIHazhw21d1Nfuh1VsWYNtTcQdruTz//Zv+BwTPSrvbCjxsR9YEzz+9dPSIJwOMi/ff0vGB5eeCHqjFkcYk6avMtnFp7LKl6IjLZiXVSuvfYGysrifV97err50B/dz8mTx6dsJ0nSjOKB03HgwF4OHNhHY+Mq9u7dzcGD0zfxzjJ3Wvr2UVu8lYqCDSklPkyKlS3176CyYAPH2p+le+hkIq8t9f2uSCbyXJWsqriJ6qLNKGlID8T7A7dwvO2ZtI4xG2fOHGLjhuvYfMVNNDUfnZQKEAj4iMWWj4f+ckFWZMZGR2hoWEsoHCQcDuF0ulEUlUjkcst3E5TmNrJ91XvwOMoW1VA7/74xkv+fzY1bfGRZobq6kZyci6/QDQb9qKppAUY1lYwZbHPJNVlO+tVzeVDSahF0ibBh/UYkScIwDF599SVOn56+BcdcjDWA3t4e3vu+e8nLy6Ovrw+/f/65TFkmE9Mi7DnzGzzOchyWvJT3riTJFHnqKcypZTw4SN9oEwNjrXj9fYSiPjQ9imHoSJKCSbHisOSS56qk2NOAx1GGIpvTej4MwyAQHmXnyZ9fVO7aBPX1G6ipXsUVG2/A7/eiXWCw/fKBf+fY8fTyKbOkT3vbOcDgxRcf5/UehcspNC0QrCi9iqsa341Fdc7bULrwmmh6vBtJNBYkHAsQiQWJxkJEYyFiWpioFiaW+CeqRYhpYTQtQkyLIITM1avvx2Z2z3K0LJlh7vf2hfdLLBbF7x+nu7s1Y6kDGTPYND29akCBSDt8uhjMJcx5OSXqFhYWJf+/paV5zobZbIyNjTI2Nrpg+8tynhFfJztP/oIb1v0RJiV1oY8QAiEU3PZiXLYi6kuvibcH0qPxBYgR30aSJvcITfdFZhhxuZnXTvyEgbGF6Q/cfO4oP/jR30+MhAs9doODPQtyjCyvJ36NF7qwablRW3Il16x677xCoIZhoOlRAuFRhsc7GR7vYMTXxXhwiGB4jKgWQtOjaLqGkaYGoVm1p/3uzLJwBAN+vvPdr6KqqfNyFVnGbndRXFJBfd06qqoaMJnMNDcf59vf+Qo9PW2Ew5nxQmfMUopq6Q9YkTPjPpwPcymWuFy6DAghUNTzjcJDocvjvN4otPUfZOfJn7N91XsSbdXSe/EkcwsRSAtQQDPhWXvtxE9o6z900fubwOcbw+fLVhZnWViKPQ1sb7xvTsZavEBDY9TXQ1v/QToHjzHq7yYSC2YrmC9horEIu3Y9O+fPmc1W1qzZzAc+8Hnq69fz7nd9im/81xcvPYMtEg2k1TEAITApSyuPcSHpj8VYFv1P50PcgyJhsViwWKw4nU6cTlfy7y63i9LSaXpVGjA4NJCogJme/PwCTKbpDXBd1xkY6EfTLu9V++JjcLZ7J+FYgO2N78GZRkHAgo/AMBgYa2HnyZ/Rv0CetQkUxYTJZCYQyIq7ZlkYLCZnPAxqSi8MahgGBgYDo80cbXuarsHjRJaRHFWWpSEcDnLgwKt4vaP89Re+ydatN3LnHffx6998j0uqSjQUGcdARzB7VaBApN1zdDGwmpxpbacbGuHY8hH8TZeqqmo+//kvUFpSiseTi9udg9PpxGY7LwL8iY9/lg998GNTPhuJhHn/B97FwYP7p923JEl8/evfZNvW7dP+fXR0hHf+wd10dqZfZZolXQza+w/h9fexuf7tVBZsQJbUjBtuhmEQjvo53fkyR1qfIhTxLvgx1qzexuYrbuTH//uPCxqqz/LGZVXFjfE+uGk+H1EtxNGWJznW9iyR2KW5UM+SOZqbT7B37wu86U3v5Kab7uGppx9gfHx0wY+TMYMtEB5D13WkNGQcllOCZbpjiWlRwsuoQ0O6FBQU8ta3vH1GLxiA2WzGbJ4aIguHw8jy7LeMQKCqKqqqoijntxVCoGkxJOnyqaxdjoz6e3jxyPcoy1vD+po7KPY0LLjRNpGYG4r6aO8/xPH25xj2ti+oLuCFuFy5RCLhrLGWZUGwW3JZWX49aXXiMQwisQA7Tv6M5u7dCyo+neXywTB0Tp48wJve9E7y84spL6vh5KmDC36czBlskTFiWhhFVmfdTgiBw5KfqWHMCUnI2C25ab3gorEgoeilF6Jpb2/jy1/+ApJ83nASCO6//wOsWrUGgKeeepxXXn1xymc1TaO9vXXGfeu6zl/+1Z+Sn1eA0+XC5XJTX9fA5z73l9MagFkyQzwRemTezdanIx4S0olEg4z4umjvP0TbwCG8/v6Mv8Q6O5tYt+YqTCbLZSgpkWWxqSrciCPNeV43NPaf/T1N3btYDPmpuGLC8lFNyJI+o2PDgIGiqOTlF2fkGBkz2MJRH8HIWFrhTqetAEko6HMQrc0EimzCbslNa1t/aCRjvTwzSX9/Hz/68fcm/U4IwXXX3Zg02Pbs2ckPfvCdee2/q6uTrq7O5M81NSv44z/+s6zBtkhIQqa+7Bq21L8dq8k97UtpIow56u/BrNpQFSuKpCZ1BQ1DR9NjRGMhwjE//uAIo/5uhsY7GB7vwB8aXlSx6+HhPny+Md7/3r/k1Kn9RC/QXTvbdJjh4b5FG0uWSxtJKFQVXkG63rXOwWOc6nyZxdIKjVdnZ6MQlyJWa7zgSwhQUkSi5kvGDLZYLIzX30+OvTTlSsZhzcOs2ghmIP9lLtjMOWnnsI0FepdVh4YsWWTJxKYVb2Fd9W0z5q8Zhk7P8Gn2nHmQIW87smxCllQkIU0y2CaMtpgWSXjqlk57q6qqkcLCciRJYvtVd04ay+joQNZgy5I2NrObPGdFWt41TY9ytPUptEVsnajIZmRp9qhUluWHEIKGhg1APNIUCGYmXSpzwrkYDHhbqSzcmHJbi+rAZStccoPN4yhDUSwpt4tXxLVmfkBZsqSJJBQ2193DuurbZtQ11PQYpzpeYt/Z3yYTp/VYkCjLu9rt6LGdnDixZ9q/ZRdNWeaC216MSU1PCWB4vHPBtATTxaI6UJVsNOJSY+XKDVx37V0IIYhEQvT1ZaawLqOKtf2jTeiGlrLXoSypFOasoG90afvTFXnq0uq6oOlRBr2tmR9Qlixp0lhxPWurbp3RWNMNnRPtz7H3zG8uOWFOw9CJafE8OVlWwDAmdTvIkiVdXLbCSYLQM2EYBr0jZ4hpi9v2zG0vSmt8WRYWSZIoKamck4i/LMs4nTmsXbOFW255Bx5PPoZh0NZ+lt7eztQ7mAcZNdiGxzsJhMdwWlP35yrNW83xtmcXNFF6LiiymRLPyrRc5f7QMGMX2dA6S5aFItdZwaYVb51xsjEMg67B4+xveuiSM9YmyM0t5pYb30l19SoMw6D53DFeePE3jI4NLvXQslxC2C2eNKumDUZ8XRkfz+vJd1eTLTpYfOx2F1/862/hdqeXww4JwXlFnaScEImEeOSRnxAOZyZqkVGDLRQZp3+0KWVFjhCCAncNDmse3sDCd7hPh1xHOW57Scrt4iuvJsKXqGhulssLISTWVd2G1eSa8RmLaWEOnXuE6CUq9Omwu/nQ+7/AyOgAu3Y/hZAkVjdu5f3v/Su++4O/JRTKPotZ0sOkWNPabqJrx2KiyGaKc+qzjd+XACEEFosNq9WeeuNpMAyDQMDHb377fXbvfm6BR3eejBpsBgatffupKdqCSOHmtagOqgo3cbT1qUwOaUZqS7am1SLLMHTaBw6ylEnYWbJM4LQWUFG4YdZJftDbxsBYyyKOamFpaNiIzzfG//7ka8S0uIdw1+6n+NTH/5GqypWcPrPwekdZLk/SDzcaix4OzXVW4HakdhpkWXgMQ8fnG0NOQzf2/GcMNC2G1zvC6dOHeeGFhzhz9khG9SIz3nW9e/gU48FB3PailNvWl17Nma5XCUcXV5DWbslNGJWzr2wMw2A8OEDvyNlFGlmWLLNTlFOHRZ19VTjobbukk/NtNiejYwNJYw0gGg0zPj6C1bp8uqRkWf6kn3IjklXTi4OgvnQ7irR8+mq/kfD5xvn7r3xizgZbNBohEBgnHA4lBcUzScYNtlBknJbevWyovTtlWNTjKKOmeCunOl7M9LAuPDIry69LW3+tpW8/ocilJ5ib5fIkz1VBqpyXS7Xn7QSdnc3ceN3bqKpqpLe3DSEElRUNlJbU8OjjP17q4WW5hEi7/6cQWNTFWwx4HKXUFKd2GmTJDIahMzDQvdTDSEnGDTaAM92v0VB+Xcq2T0JIrK++g86Bo/hCQ4sxNHKdZayquDGtbcNRH2e7d2R2QFmyzAGryZVyG7s1l7hRd2mG8ds7zrDvwAt8/CN/TzgUQAgJRVF54qmf0j+QmWqsLJcngfAYhmGkNIwEIq2o0EIgSyoba9+MRU1PAzTLG5dFMdi8/j6au3extvq2lF42l62QzfVv59Xj/5PxijaTYmVbw70zKsJfiGEYtPTuY8zXk9ExZckyF9Ixwcry1uCyFSxZQc/FousaTz3zCw4ceomSoip0Q6er+xzDw/1cqkZolqXBFxzEMPSUOdVCCApz6hBCwjAy2XpN0FB2LTXFm7PetSwpWRSDzcDgePuzVBddgdNWMOu2QghWlFzJmL+Xwy1PYGRI5kOWVK6oextl+WvTMtaCkTGOtT2bsQbXWbLMh1AaYtMOSy7XrH4/r534Cd7ApdkVwDAMxsaG8PnGkr+z2RyEw0E07dLNz8uyuIwF+ohqYcxSavHcwpwVuGyFGZVwqizYwJb6dyCl0CrNsjgoikppaTUraldTXFKBy+lBVU1zMqYj0TC/+MV/4fWOLPz4FnyPMzAeHORwyxNcveo9KcXpZElh04q3YBg6x9qeXvCEaUU2c8WKt7K68uY0+7YZHG97jlF/1ruWZXkxPJ46JCiEoCxvNXdv/XOaunfSNnAYr7+XqBZC1/WMN2+/WFTVzF13vI8N66+dpHkE8MCvv8HxE7uXaGRZLjX8oRHGA/2Y3dUpt7WoDlZX3MSu079acC+bEBK1xVu5qvE+zKo9611bBhQUlPKB93+OjRuvwWazz7voJBj08/vf/+jSNtgAzna/Rnn+WqoKN6W8QWVJZXP923DaCjjQ9NCCaeI4rflsbfgDaoq2IEnpKl6f5WT782TDLzOjqiorVtTjdLqw22zY7HacThfVVTWoavw2s1gs/OEfvoeO9nbGfeMEAn4CAT8+n4/m5ibC4dASn8WlR99oE+GoH4tp9gRpIQQOax4bau9mbfVthCLj+EMjBCPepOGW7v1tYKDrMTQtSijqJxgZwx8awRccJBAeSyR2L9yz0lC/gc1X3MhDj/yAsbHBSXvu7W1fsONkufyJaWG6h0+R56pKnccmBA3l19EzfJrW/gMLNgaTYmNt9a2sq74DVTZnjbVlgMlk5qMf+QJbttyAEALDMDAMA13X5zQ3AkSj0YxVjC6qwRbTIuw+/QA5jlLctqKU+WyyUGksv4GinHqOtDxBW//BZA/EuWIxOakt3sraqttw2QrTekgmQqG7T/+K8DyP+0ahpKSUn//sN+Tl5SHLyrTl0VarjT/73F8lf9Y0DU2L4fP5+MN33cPx40cXc8iXBd5APx0Dh6krvTqte1oIgSKbcFjzcKTRgWQ6ppuMDEMnpkcIhMcY8rbTPXSCrqET+EJDF+2dyM0t5vjxPew/8MJF7SdLFoDWvv2sqrgprZ6dqmzhmjXvR0gyrX37L+peliWV0rxVbKi5myJPHZIQZLsaLA/KSmtYu3YrQghCoQCv7XiKY0f3MDTcTzQagTkYYLquMzIykJFxLnrg3BvoY+fJn3HT+o9hVh1prXI8jlKuX/shRvy309p3gK7BY4z6e4nGgjPq6khCwaRaybGXUlGwjurCK3DZi9IMgcaJaRH2nP71JS06mi4+3zgjI8MYhkEoNHdPl2EYRCJhAoG5G7bhcPiiVyQCgRAykpAQQkKSZGRJRZFNKLIJq8mdljAygNOSR76rmpgWIaZHiGkRdD2GYWjoho5h6OjG3FZdmcIwdA63PEFJbiP2FB1FForpjiGEjEmyYlKsuG1F1BZvIRTx0Tl4lJOdL9E/em7e+ah9fe2sbtyCSTUTiYYvdvgTIz5/rwgZISRkSUncL2YU2Yw1zao9k2qjIKeWaCxMTAsT0yNoWhTjgnvFMJZ/6PmNwqC3jd6RM5Snkb8shMBqcnHD2j+iLG81J9qfZ9TXnbaemxASNnMOpbmN1JVeTbGnHllSpz2uYRhEtRDdQ6eoLFifVgRoqREJvboL594L512TYk27u4TF5KAgp4ZoLBSfe7UImv7650jLSB65252L2WwB4KmnH+QnP/k3NG359StekkzHzsHj7Dr1S65e/V5U2ZLWQyOETK6jnFxHORtq7iQY8TIeGMQfHiEUGSemhQGBKpuwmFzYLR6c1nysZheSUIgfIv2XmaZHOXTuEZp6dl7UuV4KGIbBF/76zzGb4ytOn2/uOnPd3V285S23IqS5x/0Nw2BkZHjK760mF1azG1W2oCqJf2RzYhKwYVKsqGp8QlATL1lVNqMo8f9KQkGSZCQhJ/6b3u2+suIG6suuQTc0dF1DNzQ0PUpMCydeypH4/2shIrEgkViQaCxIJBokqoWIxkKJ/8a3CYTH0ioOmC8jvi52nPwZ1639EJY0FkGZRiQ8B1azi7rSq6ku2sy53r0cOvdo2pWqxcVVrF+7HQBJUigsKOeTH/8HmpqPEr3AaDt85DX6+juAeG6q05p/wf1iTvy/NfniMClWTKrt/P2iWJIGmiIp8RdP4p6R02wEne+q5u6tf4luaHGjXtfQ9FjceNPCRLX4PRO/J4LJeyZ+30y9X8JRP77gEMthQXA5oulRjrY+RbGnIS0vmxACVbHQWH4DtcXbGBhroWf4FMO+TgKhESKxILqhIxDIkorF5MBu8eBxlJHvqibPVYnF5EwYNzM/m7oR40DTw7T07aUwpzalDFamMCk27JZcVMWCSTajJOZek2zFNDHfJuZgNTHXJude2YwsqUiSnDDi0n+Oij313L31LxLPkZ54jqKJZyc86Xm6cM6NxIJEtWD8+Zl4lrQw4YgvbXkw7/gIkUgYi8VGd3frsjTWYIkMNjBo6t6FLKlc2fiutC3wiZtdkU04rfk4rfkZGZ2mRznS8iRHWp/KcEn38mFsbPSiPq9pGgODC+sG3rjiLTSWX4dAin/3Qko56V0sQggEAilNb9yFTHgJDYz4fWMYGOic6niZnad+vtBDnURb/yFih7/D9sb7yHGULrnRNsHEy66h7FqKPfXsOvVL2geOkMoYcTpyqFuxPvnz0HC8Uq+qcuWk7ZrPHU8abOX5a7lh3YcTCzSR+C6l5DgyRTzMrALqnD8bv2fi+TIGOoZhMDzewWN7/19iEZolE/QMn6KpeweNFTemfW8IITCrNsrz11CWtzrh9dGSBoYQEgIJSZISLbDSn6t0XeNo69Mcb38WDINRX/eSGWx1JVexrfEPk/OuSMy7kOnnSEo7CvJ6pnuOBsZaeHzvv6AbqYsWOzrOcfDga1x11ZvYuuVGXnnlcYLBxe24lA5LVktsoHO682ViepSrGt+9LDwDhhHvH3fw3CMcbX0K/RJu53M5EA9RpV4BLxcm7l9B3LicIFVV9MJg0DV0guePfJurGu+jNHfVkj9PFxLXWCzixvUfY9epX3K269VZQxtnmw7T1Hwk5X4vDKVLQkaRzXNKe1hqJryR8a8qHgKT5/nSypI+uqFxoPkhcl2VFLpr5/ysTER9JC4ubGkYBrqhcbztWQ40PZx85/SNNlGS27gkz7AkySjS3KQslprpnqO5GH/RaJgf/PBrGBhsvuI6Pv9n/8pzz/+O1tbT+HxjxGKxtJ03hmEQDgczUniwpOIvBgZN3TsJhEe5etX95NhLluwmMQyDQHiE3acf5FzvnjeMZy3LpY+qWCnOqae6eDMlnpU40myzttgIITApVrY3vptoLEhL375Zt1+M3nxZ4rwRr3QgPMYrx37ELRs+uWReaU2PcPjcExxueXySUHzfyFl0Q0PO6rMtGkNDfXz/+/9E6P4AN974VjZs2E44HCQQ8MX1HnUtrQclHA7yf//5TxgaWnjNy2VwNxh0D53gqf3/ztaGd1JddEUypLEoRzfi4avu4ZPsOfMgQ96sTECWSwOTYqO2eCuNFTeS6yxb1OdmvsRDpFaubHwXI75uRv3Lv3/fG4HlfddkjhFfF88f+TbXrfkQBe6aRX3vBCNe9p75DU3dO6YUMQz7ughHfdjMOYsynixQU9PIxz7619TVxYtRJEnCZnNgs82tp2ww6EdR5p4ekQ7LwGCLMx4c4KWjP6Ct/xAba+/G4yhlLjkA88EwdLyBAY62PkVT906iWlYHLMvyRwiJ8vy1XLHiHvLd1fPK65uP92qhnkUhBA5LHpvr7uGFo9/Lph5kWVKGxzt55uA32NrwTmqLt81YxbkQTDgIeoZPsefMrxn0tk67XTA8xoivO622iVkuHqvVwcc+9kVWNmxI/i4UDhLwjyd01dKPuGWy+8qyMdggnuzf3LOLrqHj1JVcxcry6xNhUmlBb1pd1xgL9HG26zXOdu8kEF54ReIsWTKBIpvZWHs3a6relFaF9URepj8cF7b1BYcIRX3EtMicw/4TFV+qYsGk2uJVvCY3NrMbk2pLyGOkn8BdUbiBopw6eoZPzWkcWRaeN2JI9EIC4VFeOf4/tPcfZn3NneS7qhZcVkPXNUb9PRxve5bmnt2zOgh0Q6NvtInS3FULOoYs01NRUUttTTzv1+/38thjP2PP3hcZGRkgEgnPaa40DCNjBQvLymCbIBQZ51jbM5zt3kFJbiO1xVspyqnHZnYnjDdI14k/4UnQDY1AeJS+kbO09O2nZ/gU4ejyqwIxDINAZAwlmDphMq4of/lyXt7g0iYSW5j7zKRY2b7qPdSVbJ91ETNRKTXi6+Zczx46B4/iDQwQjYUWUAssXjcmyybMig23vZiSvEaqC68gx1GaVuK/IplYWXYdvcOnF0RbKaZF8IeGkxVtlyrB8FjqjdIgpkfwpXE9orFQxno2p0MwMp7Wcx6O+jJqWOp6jJa+fXQOHac8fy31Jdsp9KzAojqYa7QnWTFu6AQj4wyMNXOudy+dg8fSfu/0DJ2ivvTqGb8/Tc9MFXE0FsIfmiqzdKkRDHtJdylisdiSbe+eePJX/PJX/70sc2gFl8DiSiCwmF3kOSsocNeS6yzHZS3ArNpRFAuypCRLj4WQ0PRI4qYbYczfx/B4BwPeVkZ8XYQjvmXfwD0dzwnEPZIL3Wd1OSFLatoaPssZTY9NSiieD7KkcFXjfTRW3DirMTTRnePwucc5271j0RclZtXBmqpbWF9zJ2oaFb7+0Ai/3/n3C9J6Ll4leulXWE4IqF4sQsioaVwPg/hLeqleBelW9uq6RkyPLMKI4khCxm7JpcBdQ2HOCnIdZdgsHkyKFUU2JfU9Jyo9NS2a1NEbDw4y4uticKyNYV8HgfDYnD3aAmlWnbiYFklbwHcuSEJJyNRc2uiGnrY0TmFhGf/0jz8hN7eQ7373qzzx5C8zPLr5cUkYbK9HIJAkBVW2xB8cKZ5sXZa/ius2vh/d0IjEAjy56z/oGz7HJXiKb2hkYUKWVGJ6GN2IIQsTuhHDQEeRzIlJ20ARJqTXbWegowgTUf28N0kW8ck1pgcxMM5vJ5mIamEM4pOeIpmRhJzYn3bBZ2Wi+tK90AAay2/g6tX3I0szT6SGYTAW6OXloz+kb7RpEUc3GSEkNtbezRV19yT0qGZG1zWePvifdAyklvDIkmUpEUJCkUyoiiUpDguAYaAbelLkNZ5ukBlF/unHJbj9tj+krKwWgHMtJ3nxxYeWpYdouTJxDd/3vj+ltfU0//pvf87wcHoi34vJJem+MDAS3qUoXOC48DiLkRUFVZhQFRUhZLLG2qWFy1xEfe4NRPUQ/sgQzSM7aMy/hfaxA4xH+lhTcAdnhl7CJFupy72OqB7CFxng3MguVhfcljTmQ7FxTg8+j9tSQq1nO7qhEYyOcWboRdYU3I5ItCPS9CjH+h8nx1JKrWc7UT2MN9xD6+gePJZKajzb0A0Nf2SEpuGXl6S9kNOaz8bau2ft1DBRdbbUxlp8LDrH256juugK8pyzN9kWQiLfVZ012LIsewxDT6joL6/iNCEEmzffwMYNVwPw2o6nePHFh8m++9LHMAyeefY3DA318Z73fJYvf+l77Nv3Em1tZxgZHSQY9BOLpdfUXdd1urtbicUuLqoyHZekwZZl8REIJnT8M4lJtgPQNroPX2QAMBKer3jIRJHMCCFhVhwYGLSN7mM80g8YmGQ7raN7GAl1sLX03VhVN7WeqxkLdeOLDLIy/2Y6vIcwKXZaR/cyHGxja+l9mGQbZsWBZsRoHd2NLzIIwIrcqxkKtBKIjrIy/2Y6vQcJxhYmv2guNJRfj8OanyJMbnC09aklN9YmiMQCnOvdR56zatbthBDk2EsWaVRZsmTJMhWLxcr73vunrKhbQ25eEU6Hm/Ly2ni4W9fQ9fR7RweDAf7iL++jv79rwceZNdiypKTQU8vmlW/BGxhg57EHMirDMBRoQTc0Kt1XENMjnBp8JvGXuJL1hJdpwN+MpkepdG8mqgc5NfgcBjoxPRTPJzFiSEJBlazIkgmz4qR1dA9RLYCmxwjFvIm2MjGEEPT5ThPTw1TnXEkoNsbZoZdRJSuKZMasOGgZ3ZUIiy4uZtVObfGWlDmN3kA/Z7teW6RRpUf/SFNa4p/xfr9yRvJxsmTJkiUVJpOFq6++nZycvEm/n9BjmwuapmVMiiVrsGVJSXXJRmrLtjIw2ookpIwGBZ3mYkyyjaFgG2XOdQghEYyNUupcg92Uh8MU7x/rMhejyhaGg22UOtfEe/gJhTLXeuyhfCShEIp56fWdxGkuYCzUjSypMyb/51hKkYXKSLCdQns9AH3+U1gUF95wL5JQLrpwYD7ku6pwWgtm3cYwDNoHjhDMYIP5+eALDRPTIikLR+JFNhJkDbZp8XjyWbt2C4WFpYyODtHZ2ZJY8cPQUH8y10aSZAoLS6mvX0NhYSm6rtHd3caJE4cYHx9N7i8/vwhFUYlGI2zf/iaGh/vZu/dl8vIK2bbtRoaG+tiz52Wi0QsTtgXFxWWsXbsVjyeP4eEBjh3bR1/fwnsRsmRZbKLRCHv3voDN5rzofUUiYUKhwAKMaipZgy3LrEiSQmn+4vW0i2oBTJZ4iOz4wBPohsa5kV0UO1ZiGBpH+x8lovkxDB23pQQMg2P9T2CgoekRvOE+FMnEsf7HiOlh2sf2k2erxq7m4YsMoqPT4T1AODYOGLSO7iWqBZGEgtNcFM+/GngSA53W0T3kWWuwqR58kYElyV8ryqlLmbg/IcS53Ihp4bS8sUJIvHG19menrm4Nn//817DZHHR1teJyeaisXIFhGIyODvHLX36Hxx+PV7Rdf/0dfPzjX0BVTfh8YyiKitudS3PzCf7pn/6Mvr5OAN7ylvtZvXoTXu8YK1euw+Xy8NOffoOtW6+nuLgCtzuX733vazzyyM+BuJfhppvewoc+9DlMJjN+vw+n000w6Oe73/0ar776NNl8qSyXMsGgn299++8XbH+Zam2ZNdiyzIrdkkOuq3zRjheMjdE+dmDS72J6iE7v4df9Lm6MvZ6xUA/jkfM93Ax0BgPnGORc8neDgfP/PxCI53wFosO0j03WHtINLfn3pUAg8DjLUm6n6VHG/L2LMKK5k06lXFwDLPvCfz2yrPDe934am83B3/zNx+joaMZqtfOZz3yJTZuu5u/+7lO0tZ2/P0+fPspPfvKfHD26l+HhQRRF4a67/pD3ve+PufPOe/nxj78OxD1xjY0b+eY3/55vf/sf+PKX/5v77vskP/7x13nllaf44hf/g2uuuY0nnniQWCzKqlUb+cQn/ppdu57n5z//JuPjY+TnF/OZz/wtn/rUF2lrO0tHx7mZTiNLlkuCS6F/+NyCs1necOTnVGExza2X2lLRNX6UsDa+1MNYMISQsJs9Kb2bkVhwWYooK7JpVhmSCaLa3JTE3yhYrTZqaho5c+YYHR3N6LqO3z/Orl3P43TmkJtbMKkSraennccf/xUdHefw+72MjQ3z+OMPMDTUT3V1wyTl/lAoyIEDrzEw0MPp00eJxaLs2vU8w8P9tLScJi+vCFmOyyXddde7iURC/O///ge9vZ34/eO0tZ3lwQe/j9udx9VXv2kpLk+WLG84FszDJkkKVrMTpy0fm9mNopgwdJ1wNIAvOIwvOEwkOv+4riKbcNkLcdsLURULUS2M19/PmK8/KY5nABjGjNEVWVKxWdzJn0PhcaJpCutNYDY5MCmW+PEMHX9oNK2XjapYcNkLcNryMSlWND1GIDzGmK+PYNib9gvLZslBlpQpxxZCwmZxk+Moxmp2IYRMNBrAGxjA6x9MW0AwjkCRVSwmJzWlmxMhq7h4q9OWT0ybWbwyEBqbIddLYLfkJF8a0ViIUMSX1ljsVk+ySjQSDc4oBtvvP4OqWHDa4nluoYgvIQh6fl9Ws5McRzG2xFii0RDjwSF8gUHC0SBz8fRIQsZu9eB2FGExORFCEI4E8Pr7GQ8MXnTOmxASqmJNuZ2ux5ZlP067JTctAc5QxJctOJgGXdeIRiPYbHYkSU7mrTkcbgxDJxyevghGUVSsVjsmkwmLxUY0GsFkMk8y/MPhIIFA/PkLBn34/T4CAX/ib2EURUWSBFarnZUr1xMOh7jiimsm9UgsKCjBMHQqK+u4RCU9k8iygseTn5jrDMbGRohEUhcZWSw2nE43IDB0neGRAXR98r0shITHk48sK8RiUUZGBpJ/UxSV/LxiioorcNhdGBj4xkfp7e1kaLgvYz0pAVyuXMxmS+InA79/PHlPTOBwuLFa7WAYjI4NEY1GEuckcLk8lBRXkuMpQJEVQqEAAwM99PV3zjuHS5ZlcnIKKC4qx+XKRZZl/IFx+vo6GRzsIRKZ+T1mMplxu3MBQSQSZmxs+u4ZVqsDh8OVPO/R0eHX5WuSPEePpwBZVtB1jZGRQXRdQ5JkPJ78+PsjEmb0guOoqomCglKKCsux2R0Yuo7XO0JvXwcjIwNo2sXNcxdlsAkh4bYXUV2yiaqSjeS6yjCrtriQbcJqmlCA9gWHaOk5yPFzz+H1D6TY83kkSaGmZBPr6+6gIKcSRY7LOhiGTkyLMOTt5GjT0zR37UXTIrOGYBy2XO657q+wmBwYwOEzT7Dn5G/TH4uQuWXzRykvXA3A0FgnD7/6z0Rn8W7YzG5WVV9PXcV23PYiFFlNTgqarhEKe+kcOMGRpqfpH2lhtklPkU3ccdUfk++uIBwN8PuX/pExfx+5rgo2NdxJRdF6rCYHUiLJe+IaDXu7ON7yPGc7ds5qbJUVrKI4r4E8Vzk5zhIc1lwsJkdyove4yrj35r+fcYy6YfD4jn+je3BqPpVJsXDX1Z/D4ywG4ETrS7x6+KczjuXCz91z3V/isOYCcKT5GXYde2DG7Rsqr+bqdfchgD0nfsehs48D4LTls6HuDmrLtiSMXhkQGAnBS19gmFPtr7L/VGr9IllSqCxaz5ramynKXZHsownx8F40FmZwrJ0TrS/R3LlnjsbyeeLtp9JwggsBy7BBdGHOilm14yYYDyw/gcrlQDAY4NVXn+Kee97HO97xQQ4e3El+fjH33PM+zpw5SnPz5OfM7c7l9tv/gG3bbiAnJw9VNSHLMrm5BfT2dk7aNhaLXdA+KW4cXrhonGj/ZzZbcDrdOBwuPvShP50yxvHxUSKRcELxf8EvwaJRVlrNF//62wkDxuDf//P/4+DBV1N+7sorb+FDH/iLeA/KwDh/87cfZGiob9I2druTL37hv8nLK6Z/oJsvf/nDBEN+1qzewt13v4+G+nVYrfZkayRNixEI+Dh95jCPPvoTTp46uOAe6MaVG/nEJ76MJye+uO3paee/v/0l2tvPTtrune/4KDff9DYMQ+c/vvEFDh58lfz8Eu6+6362bb2JnJx8FEVFCIGu60SiYXq623j+xd/z0kuPpG24ybLC2rXbuPVNf8DKhg3Y7c6kh1fXNUKhIO3tZ3nuhd+xe9ezhMJT37lVVQ381V/8J4qi0tZ2hq/+46emNbrfds+HuOP2dwHxgq3v/+AfefW1J6Zs5/EU8Pdf/iFOZw4Dgz186csfxu/3kusp4Mtf+j5OZw5t7Wf46j98Ek2LsXHDNdx91/3U1q7CYrElnBMGsVgMv3+cEyf28cijP6H53PF5ixpflMG2bsWtbF31tqR3YYILByNLCrKkkKuW43GWUVu6hef2fYfeobPT7XLy4GQT21a/k/V1tyFLavIYhmEkvA8WinPrKNhSTXFeA02du9F1bcaqtHH/IIOj7QmvkaC2fCuHmp5M2/PndhRTWrAKk2rDMAw6B47PaqyV5DVw/cYPkJ9TmXzxnr82cS+Ww5bHysprqSreyL6Tv+No87OzeBsEqmLGpNpQZDMuewE5zmJuvOLDOKy5CCEmXXtJkjFJVopyV1DgqaYot47XDv90Wq+iEBLbVr+T0vzGxM9TDQBJSJjUmT0+E6uPmZgYO4CSRqgsccrJZuOGYaT8nCwpmBRrfAVoj1dXFnpquWXLx8h1lU85LyFkJEkmx1mCWbWRylizmJxsX/cuVlZek7wnL7zmQsiYTXZK8xspzquntuQKXj78E/zBuffmMww9rR6PqmxBlc2EWD7hYEU2UVW4KeV2hqEz7OtMud0bEcMwePDB71NZWcd73vMp7r77PsLhEKdOHeKXv/w2fv/5qmCr1cbnP/811qy5gsce+xUHD+5geDiuY/jlL387naPNOAZd1zl16hBf+9rnk16+C4lEQpe8qr6QJKxWGxZLfJ5JtyWeIqvYbHaEkNB1fdoFlhACi8WGzeagsKCU3LxC1qzeyn3v/jRW69R0E0VRcbk8bNl8A6saN/G/P/k3Xnzp4QW7xitXbuQzn/kHCgtKAejqauG73//qFGMN4h4jm82BYRhUVdYzMjLIZz79FSor6qZ530hYLTZqa1dRVVVPQ/16fvDDf5ritXs9NpuTd/3hJ7n5prdjNlumfY/Z7U4aGzdRX7+eK7fdwo9+/M8MDHRP2s/QYB+6rmGzeSgprcLhcDE8PNlgUxSVlSs3YLXak8dpqF8/rcFWVFhObm4hiqIyOjqYND6FJLBY7dhsjriHMSef6669i7fd8yHM5te/HwWqaiInJ4/t229j9eotfO8H/8CePc/Pek1m4qIMNq+/Pxmy0XWNYNjLqK+XMV8f4WgARVbJcZRQ6KnBpNriIpmOYm7Y+EEeeuVrhCIzv2AEgo0Nd7Gx/k4kSY7314uF6R9pYXisA02PYbfmUOipxWkvYG3tzThsubOOVzc0znbuorpkE0LIeBwlFOeuoL3vaFrnW1O6KfFSj4f0mrv2zrhtSf5Kbtv26aRnKKZFGfF2MjjWTijiQ5HN5LrKKMipRlUsWEwOtq97N0JIHD77ZMpkbSEk6iquorJoHQ5rLpoeZWisg8GxdiLRACbVRkFONXnuirjRLBRWV9/A6HhP0us0CcOga+AkgZD3gmNAUe6KSSHGroGT007acXQCocUXlp0Ju9WDx1nKm7Z+Eo+zBN3Q8PmHGQ8MEImFEuHTPByWuLHb0Xds1v2ZVRs3bf4wtYkwsWHojAeG6B9pYTwwBBg4bXkUelbgsOYiSwq1ZVsxqVae2v3NWe/36TCMeEpBKlTFgstWxHhwcE77zyTl+WspcFWnkX8XYsjbvkijuvQoLa2irm41//mfX2Lv3pfRtBjBYGCKx6W2dhWbNl3No4/+nB/+8F+Tf3c63XPWkbqQYNDP0FAfOTn5hEIBfL7lJR1zqWE2W7nzjvu49po7sVhs+HxjnDl7lK6uc0QiYTyefFau3EhpSTWSJGG3u7j/Pf+HtrYznGs5edHHb1y5kc985qtJY629/Szf+OYXaWs7k/Kz69ZeyfarbqWyoo5YLEpb2xmaz51gfHwUi8VKdXUj9XXrMJnMyLLCtdfcQXd3K7/97fdnfJ+ZzVb+6EN/wXXX3p2cK0ZGBjlz5jA9ve1oWozc3ELq69ZRUlKFoihs2XwDLmcOX/+Pv5zkzRz3jdLf30VOTj52m5OC/JIp7aVcLg8lJXEx77jjR1BT04iiqFM6E5SX16IocQdBW+uZacPTdruLe976QW684a2oqomxsWHOnD1CT08bsViU3NxCVjVeQWFhGZIk4Xbn8qEP/DkdHU309Mx93rsog62r/wSd/ceIxsI0de6mb7iJQNg7KZ9GkhQKcqq5YdMHKMipQQhBXk4l1SWbONX28oz7LsxdMclY8wWGePnQ/9DedzSZGyQQWM0u1tXdyqb6u6gpuSLlmDv7jzMeGMTtKEKSFFaUX0lH37GUBpIim6kt3QrEv+i+4SZGvNNrENktOdyw8QNJY83rH2DH0V/Q3neEaCzMxGpWllSK8+q4dsN7yXdXocgmtqx6O33DzfQMpX6AVlXfgEAwMt7NjqO/oLP/xKTwm6pYaKy6ju1r34VJtSBJMmtX3MLp9lcJhidPvAYGe078dlL6nxASt2z9OCsr85Pn8ezebxOLzRziW6z+eengthdx/cb343EW0zfcxP7Tj9AzeIZINICBgUCgKhY8zlJK81fSP9oy476EkLhi5VuSxlpMi3Ck6WmOND01JZfQbvWwpfEeVlffiCTJlBeu4YqVb2Hn0V/M6frohs54cJBio2FWw0cSMhUF6+kaOp7+xckgdouHK1bckwzNz4RhGIz6upaVobncWLlyHQ6Hi9HR+IJAkiRsNjvhcGjSC8ZisSJJMsPDg5OMufXrryQ3t4DOzpnv7dkIh0Ps2vU89933Sa677g6efPLXk/avqiY0LTbLIi7LhUiSxC03vwMh4NDhHfzs5/9BZ+e5pDEghMDpzOGd7/got9/2LmRZxuXycOut9/Ld733lorxsja/zrLW0nOQb3/winZ2pK3yFEKxduw0hBEPDffzkp1/nwIGXCYXOR5hU1cTmK67nIx/+Ai6XB0mSueXmt/P8C7+flLd34T5vv+0PufaaO5EkCV3XeG3H0zzw4Lfo7+9K5gIKIbDbXdx04z38wTs/htVqp6FhA++7/0/55re+lMw/i0YjtHc009CwAUVRKS2r5vSZyeoCpSVVuJw5xGJR2tvPUlu7mqKiclwuzxTjrqqqAYjPUzMZy4qi8qZb3gnArt3P8stffZPe3o5JY8/Jyee+d3+GG65/C5IkkZdXzE033sPPf/GNlNd9yvHm/IkLiGphnt7zTaKxmau8dD1G33ATLx38MW+99i8xm+wIBBWFazjd9sq0LzAhJNavuBWzGm9TFNMivHzof2jpmSz3YGAQCI+x98TvUGQTG+vvSrmiD4a9tPUeYt2K2xBCUFm0DpslB39oZNbPFeRUkeeuiMfUDZ2zHbvQpk30FqxdcSt57kqEEATD4zy37zvT5nVpepSugZM8v+97vOXav8BmcWNWbWxquJu+3edmTSQXQiAQ+IMjPLP3WwyMTJ2Qo7EQx849h8tekLg24LIVUOipoa338DR7nfxtTPedGoa+rIyy2chzlwPltPYc4vn935vGSIVw1E/v8Fl6h2cP0efnVLGm9mYm8t6OND3FrmMPTglfG4aOLzDEq4d/htXsorZ0C0JIrKq+nlNtLzPsnUv4z2B4vCPlVkIIaou3cKL9ebyBvpTbZxKz6uDqVe8l11mRlnZfa9+BJRAkFq/798Qdvfzu61OnDhOJhPnbv/0vAgEfhgGaFqW7u53f/vbH7N37Ulw4ub2ZoaE+brvtHfT2djA2NkJDwzpuvfVtk0Rz58Njj/2SjRu385GP/AV1das5deoIkiRRWlpJff1avvWtr2ZlPdJk4ploajrKf//3305KWIe4ceD1jvDLX/03NTWraFy5MW4srdmKzeacFAafman3cePKjXz2M/9AQcJYa2o6yje++Tf09LSlPXZJkggG/Xzve1/lwDT5fdFohN17nqOwsIz73/N/EEKQm1tE3Yo17N334pTtCwvLuPuu+5NOmQMHXuH73/8HAsHJIVTDMPD5xnj0sZ+iaTHe997PoSgK27bdzM5dz7B7z3PJbVtaTiaN2sqK+inHXLFiLbKsMDIywO49z1FTswqHI4fSkqpJBpuiqJSX18YLycJBOjubp70mE9/n4SM7+c53vzLl+zEMg5GRAX76s3+ntnY1lRV1AGxYv53f/PZ7MxYOzcRFV4lGounJCQyMtNI/0kJF0VqEELgdRYmw0tQcHYfVQ3nh2uTF6Bw4TlvfzM2hdUPjaNMzNFRcg92ak3IsZzt3s6r6RlTFjN2SS3nhGk63z55guqJsG4psAiAQHKF9hvHYLG5WVl6TjI+faX+N7sHTs+57YLSNc117WVN7C0IIygpW4XYUzejBm8AwDI6de25aY+38Njpn2newtvYWVCWuKJ/nrpzBYLu8EEJiPDDEq0d+OsVYm+OeWFV1A2Y1nvcw6uvn0NknZq1sjGlhjpx9iqriDSiyCYvJQW3pljkabNA30oSmR5P33kzYzB621L+dl4/9aN5FDheLy1bI9lXvoSJ/XRrGmkEgPEpL31QtvYXGJNtwmgtwW0pxmgqxqm7Mig1ZxAuAdEMnpoeJxPwEY2P4IsOMh/vwR4YJxcbRjaWpwC0uLuf97/8TOjtbOHp0H+FwECEENpuDbdtu4HOf+0c+//n30tl5joGBHr75zb/nve/9DJ/97JeJxWL09nby/e//P8rLaygqKk2+yPr7u2luPpmsWIv/fOqCn7tobj6Z9BKMjg7xta99jj/4gw9z5ZU3c9NNb8EwdMbGRjhx4iDj48snDeJSQNNi/O73P5pirF1IMOhj9+5naVy5EQCX24PHU5CWwRavpDxvtDU2buKzn/5q0lg7dfog//XNv5lzr0vDMNi79wUOHd6Zcpu33fMhnM4cJEmioqJuWoNt+1W34fEUxB0bQT+/+e33pxhrk/et8/wLv+fqq29nZcKLduub/oD9B14hFosX07W3n01WRZeX1SLLcvK+FkKivj4+Nw0MdHPi5AGi0TAmk4WamlUcO34+xSmebxjXwBwZHWRoeOaFcCQS4re/+/6s343XO8L+/S8lc/9y84pwOj2Ewz0zfmY6Fk04Vzc0Rn29VBStjR9YNsdL1acpc83PqcZqjreIMAydc137U8oWjAeH6BtppsZyRcqXxcBIK0Nj7RTlxi9eXfmVnO3YOeML2GJyUFWyMWmEtfcdxR+c3iNXnFuXDIVqepSmrj2kXrkbdA6cYHXtzQgEJtVKkWdFSoMtEgvOmkc3wXhgkFDEh5qQI7FbclJ+5nLAMAyau/Yw5ru4KkSzaksuNAzDoKPvaFq5eoPeDvzBUdyOQgDKCho5cHpuPTNHfJ2M+LopcFfPup0QgpqiLYQiPvad/c2i6rIpspmaos1sWvFWXLbCtDxrhgFnul7LWDhUIHBbSqnxXEmJcxU2kwdZxPNRZhvf+cpJjbAWwBcZoGnoNdpG92VknDMhhOAd7/gQ1dX1fP7z99PfPznB+vDhXfzd332HmpqGZEhr167nOXx4Ny5XTtJTEwoF2bv3pWQVH8Cjj/6Cxx77ZdIge+SRn/Poo79I/vzQQz/l4Yd/NkmeYmion+9+92v8/Of/jd3uxDCMhBTIeDYcOkf6+7s5eSr1QqWjoxnD0BFCRlXN2O2p2yYZhkEoGEjex40rJxtrx0/s5Zv//SUGB+dmKEA8T33nrmemyJa8npHRQbzeEZzOHIAp/TkBVMXEpk3XJH9uaTlFa9vsjg2AUCjArl3P0lC/HiEEK+ribdi6u1sB6OvvwucbIze3kKKiMixmG/5APHfYZrNTWRHvEtLR2UxPTxtj3hEKC0qpq1szqdghN7cIlys+/p6e9lkLJzo7z3Hu3ImUY2/vOC9ybTZbsVptKT/zeha108GFK//ZJs189/mqypgWZWCW3KIJDENncLQtrTy2mBbPuZsw2EryGnA7ChkZn/4mLslfidsef+lqeoyzHbtmDAsW5zUkxx4K+xgdT0+BfjwwiK7HkGQTIPA4S1N+xhcYYjwNiZSYFp2UMCmnoY11OWAYOp39x7nYUJfLXpg0wsGgb3h69/jricVCBEJxg00IgdOWj6qY0yokmCCqhWnq3kG+6/wzMROSJLOq8iZy7MXsb/o9/WMtaVWZzgeBwGJ2UZ6/lsbyGyhw1yAJOU1jzWDE18WJ9ufIRBjSJNtZXfgmajzbMcnWpERFOkyMXwgFq+TCojhpG828F3C6cZSUVODzefF6R6f8Pf4SNKbIJgSDfoLByTqFhmFMyn2KVx+T9s8X7md8fCzrUbtIOjqb8PtTa1CGIyF0XUeSZCQhkrIfqQiG4t9/ff06PvuZCWPN4PDhXXzrO1+ekquVLoGAb5LRMROapk3SS1OVqdEBpyuHkpKqpJF0tunolKT/mTh79gixWDRewWq1U13VkDTYxsfjhQe5uYW43Xm4c/KSBlthQRkeT/w93tp6Gr9/nJ6eNgryS6ioqMNisSWfnfKyGlTVhGEYtLScmnVR0tJ6Oq3QZjgUTBrgsiQlpKXmxoIZbAKB2WTHYc3FZvVgM7tQFSuKbEKRVRTZRFn+qrT25bTlJyfOSDSYdjhrLvpuLT0H2dz4VqxmF2aTneqSTdMabEJI1JVfmQjfGoyMd9E3PNNNK/A4S5JjV2SVbavfPkOu22SsJmdSy0sIkfQwzoYvOEws7fyfC6Qn3iB9G2N6lPHAxXtw3I7CSQKwtaWbyc+pTPk5gcBhO7+6VBULimyak8EG0Nyzm5Xl1+NxlKU0iCQhUZq3mgJ3DR2Dx2ju2Un/6DlCUd9FaTkJBIpixm7OJd9dRVneGkpyV2K3TIgap3dPxau9g+w582sC4dF5j2cmLIqLKyveQ7GjMT0NuxTE9DAD/vQM9IVE13WOHz/Ae97zSe6998Ps2vU84XAIm83J6tWbeMc7Pkhz8ylOn545VSTL8qS/vzu9Z3GS1Zz+rB0M+iktreaTH/9y0rN25Ohuvvmtv0kUr8wPn8+L359epfskh8Y0A3e7crElJU0MentT5+pOMDwyQCgUQFVNCCFRXHx+Lo7FYrS1n2Xlyo2YzRaKiyqSxlx19UrMZguxWJSOjmY0LUZb6xnWr7uKvNwi8vKKkt7qioq6pFRLa+vsfZrTDS1Pk62f5hmf56INNlWxUFm0jrryqyjMrcVmdiXybeZvFFzYCimqhdG09IySuXRS8Pr76Ro4yYqybQDUlm3jaPNzU/J/HNZcygtWJ1cCzZ17Zww3SZKM5QJDy2J2sm7FrWmP6ULSWU2FI/5LW60ywxi6lsxtuBisZhfJFHUhUVu2ZV77SVsI93UEI14OND/Mjes+jCyZUhptQghMqo3a4q3UFG0mEB5leLyTofF2xvy9+MOjhKO+RLGQFve+CBBIyJKCIpsxKVbMqh2bOQenLR+XrQiXrRC7OScRWhdpedNej6bHOND8MJ0DC29oyELlitJ3UOxYNa+xTcd4uB9feP4vuYvhkUd+htvt4bbb3slb3/q+5O9DoQCHDu3il7/89rTetyzLm1S6ZBeL1Wrnkx//UjJpfsK7mq4Hayai0XCy08HFYrc7k3Izum6kWUwRJxIJEw6HcDrPd1w4j0Fr6ykMw4hX6JfXcuDgK4CgoWE9AH7/OL19cQOxueUEhmFgsdioqKijs/McQkhUVdafLzjomr2gZsKDtxhclMGW767kmg33U5rfmBQaNAwj3t1AjxGLhYlpUXQ9iqbHsFnciZff7FwoB2AYGnqangHd0JJyDakwDJ2zHTupLd2CJMnkuyvJz6mcIugbryKNt7OKRAOc6545l0UIaZLg4vkwxDyMqjQ+Ej/fLLOxEBWtsjxZtHliz/MZzXxp6zvACXcNa6tvT3utLYRACBmHNQ+HNY/KwvVxVXtDS4S99MSzZSS2lxBIic9JSc/ZQhk/MS3CoXOPcbzt2YxUGlfmXEG5a32KHLV4gUFYCxDTwhjo5w1VyYIqmROdWuIvk35/E5qxMC+pueL3j/Pd7/5fHnzw+3g8cUX5SCTMyEg8RyibO7YMmMejkSoH7GK57dZ7sdvj79kJrbF1a6/kvnd/lh//z/+bt9EVD60vzD0nyZPTJ7Q5XJOJuWuC1zs32trPEotFMZnMVCSqMk0mMzU18YVcb297snK6o72JcDiIxWKjbsUadu58GqvFRlFxOQCjo4MpQ8iZ/j4vZN4Gm8dZyu1XfZYcRwkQH/TgWDst3QfoH2nG64+Lk8b7HGrohsY169/D2tpbUu77wqqsuFci3adibsG+roFTeP395DhLUGQTK8q2TjLYZElhRfk24lIOBj1DZxmdIc8NAEOf9OWN+XrZe/J3aRucF5JObtobAYGUfHkuFfG2PUZitaqz58RvGPPPPQ9E06Jp9k+dZgyGxoGmh7GYnNSVXp3srTo3BEKAnEa7qIXEMAzCUT/7m37HqY6XMtI3VJUs1OddjxBT80IMw8BAp9/XROvoXoYDbYRjPjQjmuyaIoSEIkyYZBt2Ux5uSzEeawVd3tnFlDONYegMDw8kuhZkuRhMsh2zfD7RO6T5iGoXV5yjyAoXE01aaCY0y0KhAC+/8hhWqz2pc3bzTW+jr7+TRx/9yZIb+5FIOLn4FQJMqjntz8qyMslIe337qYGBbsbHR8nLK6KkpDLZaaAgvySpqTZhtA4N9zE03E9ZaTU11Y0osoLT5cGTU4BhGHR1tUzSmpuWRfSazGvmFkJiS+M95Dji+VqaHuPg6Uc5cOaxWcOS6Vrn4cj5pFlVNqNIJsJM3/D7QiZCNekSiozT0nOAjY64flt1ySb2n3o4+VLNcZZQ5FnBRD+z2SpJIf5iv7AxeUyLcK5r35wbzGc5jyKbZm13tRiEwuPEn0qBkSg66Ohf/Bd5VAux4+TPiMSCrCq/8ZIoHjEMnUFvG7tPP0DP8GkyNbvl2apxW0qmXdzphsbx/ic5Pfgimj6NdyExpChBgrExxsI9dI8fYzm9iLNcLIL1xW+mKmdz4meDw72P0jT0ykXt1ZZG5eZi09fXyfd/+I8cPboHm82By+lhw4btKIrKH7zjYwwM9LBz59NLOkavdyRZOCCElGjanh4WS7yFGJzXObsQn89LX38nubmF5OUWYbXaKS6uSFQ365w9e76zUTDop7OjmfKyGkpKKrE7XBQWliZ6ysYLChbTg5aKebku7BYP5RfIHHQPnmLfqYdT5pBNyEqkwusfTFrfJtU6KS9sNpwpWlNNR9MFzbld9kKK886L7VUWrU/2vvQFh1O+pA0MRsd7kmO3WXIwm+xzHtMbgjS9plazE1VJf/WVCbz+/mThiCRk3I7iJRtLNBZi9+kH2HHy5/hDI8uyh+NEVaI/NML+pod4cv/X6Rk+RSaXosXOlcmindePpXv8GKcGnp/eWJsVg+Uopptl7qiSmQL7ikTfXQuKZEG+8H553XMkSenNT0WFU/sTLzXnzp3gyJF4X22fb4zv//AfaWs/m8zV+uD7P099/folHaN3bJiR0XhBmBCCivIVaX+2uKgCkyluS2iaRnf3ZPHfeBeDeGGg3e7E7c6jumolkiQTCgcnteEyDIOm5ngzdpfLQ35+CUWF5ciygmHotKQoOFhs5mewWT2TCgM6+o6lFOuUJRW3vSit/Q95O5LeOEU2UZBTlfIzAkG+O/V2U4411s7ASGs8SVHIrCjbCghkSUn0HE1or/UeTkt7q2fobHLsFpODotz0b8TLGYPJ4WKTYiUdD0auuyKlaGymGfX1TdLdqyhcsyAViPNF12Oc6nyRx/f+C2e7dxCJBZeF4RbPX9UZDw5w6NyjPLrnaxxsfnjOPVTniiRkcq3TV+3qRoymoVeXTPw2y/LAaS7Ebpp5QR+NRZMCqwBOp2fGbScwm63UVDcuyPgWktfPBH19nXz3u19J5mJ5PAV8/KNfpKiofPEHl8Af8NHcdCw5bzU0bMBmS88xs3btNmQ5bmyPj4/QNk3T+nMtcV00k8lMfn5xss3U0GAfg0O9U7bVtBiKYqK8vDbZazQYDNDdNb+WbpliXm8dSZInZYtFY6k1SPLcFYlWQakZGGlNhiWFkOKFAdOsni/EanFTnFc359VOTItwtnN34liCsoLVWM1O3I4i8t3xl4CmRxPbpH4p9gyexhccTo59dc1NS25wXAwXVuiqsjnl9zDzfmKT8rcm8gZnQxIytaWbWerQVCjio73vaDKPraxwDQU51Us6JoBRfzevHPsRT+z9V053vpzwuC1ubspEkVEgPEZb/0FePvoDHt71j+w7+1u8gYsTLE4XRTJjM+VO++wHo2OMBOem6J7l8iPfXpsUTp4On887SdOuvn5tyndJQ/06yspqFmyMmeRs01F+9ON/Jhj0xVsyVtbzkT/6/3A43EsyHsPQ2bHrGWKx+EKqpKSSTRuvSfEpyM8r5sptNycdKceP75u2T2lHRzORSBhJkikprqQ0YYS1tZ+ZkpPW092Gz+dFCEFVZX3SkB0e7k96AZcL8zLYwhE/Me18eCHXVc5sL1Wzamfb6negKta09u8LDtHZfzxpfVcUraWyeGYXrkCwqvoGnLb89E7gdbT1HkxqvTmsuRR6aikvWJMMhw6NddI/kl6vPH9olFNtLycE8gTlhWvYWH/XpOrR2ZAlJeF9Wg4Y+ILDye/BbvXgds4vHKgbGkNj7eeVpF1llBXMvjqtKt5AZdGGZRByMDjR8gKhiA/DMDCrNq5dfz8O61QF7+kRmE0OMmF46oZG/1gzrx7/Hx7a9VVeOvpDmnt24w30E9MiU0RT54+R3JemRQmEx+gbaeJ4+7M8f+jbPLTzKzx76Juc7d5BMLK4wqom2YYqTZ9u4YsMXXRieZZLG4FEob1u1iyMgN9LV1dLclF2xRXXU1k5tRflBB5PAffe+0lMpqVN15gLe/a+wAMPfptoNIIQgvXrt/Oe+z6LOoeE/4Xk2NHdnDp1AMMwkGWFP7z3E8mqzumwWu28612forAw3jIqGPTz1DMPTJtjNtDfzbhvFICamlXk5cWje2ebjk1Z1I55h+nr74znsVetpCC/GCEEXd0tU4Spl5p5FR34AkN4/QPJZugryrbS1Lmb7oGTk8r1hZDIdZVz1Zp7qSreEP+bMXuXA4hb30ebn6GqeCNmkw1FNnP9xg8ghERH39GksTgh1ttYdR1XrHxz4rPGnF/w44G4gVhfsT2uwVK8Phm+nWhvlI4XMTF6jjY/Q0XROopz65Elha2r3kaOs5ijzc8w7O1C06JJ+REhJEyqFactn5L8lVSXbKSt5zCHzj4+p3PIFL1DZ9ENDVkoqIqFK1e/kxcP/ghfYJjzHse49IMkpER59vQGQmvvIdbU3owim5AllWvXv5doLEzvcFOy9dhEa66a0s1ctfZdqIo5YfwubaXo4Ggbh84+wZWr3xlfteWv5O5rPseB04/S2X+CcNSfnAiEkFAkFZslh/ycKqqKN2C35PD4zn/PWJ9PAwN/aJiz3a/R1L0Dk2rDaS0g11lGjqMMl7UAuyUXk2pDTVx/SVISUh4i8WzGQ5q6EUPTY2hahKgWJhQZJxAewxccwhvowxvoZzw4RDjqW4LG7VNRJNOMC6JQzJsRCZEslw5mxY7HOrtTIabF2LnrGdas2Yosy+S48/jMp77Cz3/5Dc6cOXJBH1cnDQ3reds9H6K+bi2hUACLxbYMFpWpMQydp55+kIKCUu68491IksxNN95Df383Dz/yP4ueXB8KB/nFL/+LP//zr5PjzqOkpIrPf+5f+d3vf8DhIzvx+cbiC2SzhcrKBt765vexadN1ySLAp59+gDNnptdz9Pm99PV2kJdbxKrGTTgcbmKxKOeap7aQikYjtLacoqF+PeUVKzCp5mQ16XJINbmQeRlskViQk60vcs36+xFCxmp2ccdVf0xb72EGR1uJaRGsZhcFOTWU5DdgMTkIhEY51fYKGxvuSktWoHe4icNNT7Kl8R4kScZpy+e2bZ9mYLSVobEOND2KzeymIKcat6MIA4Nj556nofJqzOrcenRNaLKtKN+GLClUFW/CpFoRQhAK+2jpnltrmmB4nBf3/5Bbr/wUea4KZFllZeW1rCjbynhgEF8g3qFAlhQsJic2iwuryZWs+useODmn42WS3qGz9A+fozgvLiRYVbyRt9/wRXqHzhIMeRGShEmxYjU7MalWnt/3fUZ900uf9Ayepr3vKDUl8X6vOc4S7r7mz+gfPsfIeDe6oWEzu8nPqcTtKEYSMh39R1FkM6X5Kxf5zCdjYHD47JM4rLmsqbkJISTy3VXcuvWT+EMjjPsH4xXCQmBWbFgt7ni3D9WKQMy56fvFjjUc9ROO+hn0tgIkFgcyiqwiTxhsiVZScYONhMEW12jT9BiaHkXTI+iGnpi4ltfkNYEQ8ozSLzE9wnIdd5bFwW0pwaKk1v/cuetprr3mDlav3hKf66oa+Pzn/pXh4T7Gx8eQZQWXy0NOTh6yrDA6OsiDv/4O73/f55JVi8udWCzCAw9+i4KCErZuuQlZVnjH2z9M/0AXO3Y8tejjOdt0jB/+8Gt85MNfwOXyUFJSySc+/iXGxoYYHR1C02I4nG5yPYVJb6amabz66uP89vc/mNHI1LR4x4PVq7ckPXLDw/309LZNu31T83FuA3LcecljtLWm7m262MxbkOlE64vk51SxsvJahJCwmp2srLyGlZVT49Befz8vHfwRw+PdrKq+HlsazccNQ+fA6UcxKVbWrrgFWVJRlfiLuySvYdK2mhbhcNNTHDr7BGUFq+ZssAF0D55mzNdHrqsMl70gMQaD7qH47+fKkLeDJ3b+B9esu4+q4g1IUtxDlesqT4SQpztnA8PQiC6AOv9CEYkFee3Iz7h126dx2QsQQuC2F+KyFUzaTghBNBaatUNDTIvw6uGfYjW7KM5dgRASZtVGeeEaygvXTNqXYeh0DZzkxf0/ZN2KW5fcYIN4D9rXjvyM8cAgmxruwmJyJhcTs4Xj4+2YQiyl4WBgYBgxIrEYLGJj+MUgnk87k4cja6y90Smw16WVe+v3j/Od736Fj330i6xatRlJkjCZzBQXV1KcyASZWLj09LTxwx//X1paTvG2ez50yRhsEO+08MMf/V88ngLqVqxNVo4ODfVx+vShRR6Nwe49zzE+Psp77/8TampWIUkSubmF5OYWTt7SMPB6R3jyqV/y6GM/TRmubGmZ6HgQX8x1dbfg803fUaGt/QzhcAiLJZ6OFAr56eqe3rhbSuZtsEVjYV4++D/0j7SypuYm3I6iuCI8AjDQ9BjBsJe23sMcOvMEo74eJElhYLSd4jxTWiHGmBZmx7Ff0jt8lvV1t5HvrkSRzYm+njoxLcLgaBuHm56kpftAXGTS24nd6kmInabv4g1H/TR37cFuvT35O8PQOdO+Y95Cn2O+Xp7e800qi9bTWH09RZ5azCZ7InwTv066oaNpUfyhEfqGz9HSvX8W+ZD4i3+iF+WFeYSzYxCZ1+fi9A438diOf2FTw5upKFqH1eRIaKPFQ2mGrhHTIoz6+ojGZg/5ef39PLHz66yrvZW6iitxWPOS941BPD9qPDDImfYdHDv3HKHIOANjbXFtPiGIpWhTpumxuLyMEInqyYVNwo9pEQ6cfpS23kOsqr6ByqL1OG15yJKaDNtOeKjC0QAj3i7a+45wrnv/nK97lixZLg5JKBTa06/U7+lt5//9659x5babuXLbLZSWVWO3u5CERCgcYGCgh4MHX+WVVx5jcKgXWVY4eOg1KspXEAz5p+0ioGkxzjYdY2AgHnkYHOydss10BIJ+Tp48gCwr6IY+YwskwzBobz+bFJ/t6jpHqoXK0FAf3/nuV7j/vj/GbI4bKdddexdtbWcmGUK9ve2cOBGPMPX1daQVIjQMnZaWk4SC8f309LSn2N7g+Il9/MM/fZotm29g27abKS+rxe5wIQlBMBRgcLCX48f3sGPH03R2nUtrHE3Nxzl2fG9C3Bj27nsRTZu+Wryvr5ODh17F7YpXEg8O9jA6Or1YdTQS4cyZw9gTVa2jaRYm+MZHOXnyAEJIxGJRQuG558fFrYaLxKRacduL4y8uWU0mJXt9/QTDk3NILCYnFrOdmupVHD35atr9zRTZhMteiMtegKpYiMbCeP39eP39k16EFpMjkfcEgfBYMjcqHVTZjNnsSK7V57OPmRBCxmZ24bIXYDW74w+hrhGOBvAHhwmERglHg6T6OmyWHOSEkGw0Fk5bOd9uyUkK0EZioUnixOmfg4TN7MbtKMJqdiFJclK93xccJhj2ziHXL16M4nYUYbd6UGQTmhbFFxxmzNc3SYBYkU1YTE6EgEg0NOlvybEho2DBrNhQTCoaEQxDxx8azWjlpFm14bDl47DmYkroDEa1MIHQKL7gCKHweEaU/RcKq9VKRUU1Z85MDsPn5uZz221389BDDxAMzuyRW7NmPRUV1Tz55MOZHuqM5ForuWXFn0ybx9Y09Cr7uh5YglGlhyRkZBHPwRNIcX1Cw0BHQ9djaEZ0Wd8/EE/qj+cRqslOE0YiFzKmR5ZUUsWu5nJr/Z9hUSZLRhiGwaGe33F68MUZPytJMjarHZPZghCCWDRKIOibYpTF89cmWtdNP9dcmIM7l/QCSZISrdNUBArSBfeIgZ5oAxnFIH6PGIl/p5t79frc4NeP/8Jzm9t+RSLdQkISChJyPHXhgkWtYWhoRiwx/vPHff11j0YjBAK+efVCnct1n8u5Tt5v+u+X+X5uggXpUROJBhkYbWFgNLVmSSgyjpANrr3ubs6c25/2lxDTIgx7O1PmAoUivnm3/4lqYaKBDCWFGxr+0Aj+0EjqjWchEBqd1+f88/zchcQNoIs/hwnCUX+8+jbF7mJaBF9w5gbcbqqoEtdipxChyUSC4/QYh+hm36SJIBOEowHCY+0Mjc2+ilwuqKrK1q1XU1xcwiuvvEBZWXnSkK+vb6SwsIiBgT7Onj2NJAlU1YSm6Vx11TWEw2H27t05qa1Na+s5Nm3aihCCoqIS1q/fxJkzpzCZTHR1dVBSUsbgYD8NDauwWCzs2vUqkcj8PI3xyV9GlkyosgWTZMWsOMizVc9YlGKWHXisFXM+lmHoeMN9C2psCCTMigO3pZhcawVuSykOUz4mJV7lKgkFgUAnYexoYcKaH39kmNFQF8OBNkZD3US0ha1cUyULDnM+k8PKBuPhAWL69POhKlnJtVVS5Ggg11qBVc3BJFuRxERPaY2oHiYc8+EN9zEYaGHA34wvPJjhZ1IgCRmzbMdm8lDmWotZnl683KrmpL43dDCC8de8hAmHYk++NaNaCF9kIC0DLP2Xs0CVzDjMBXis5Xis5ThNhVhUJybJiiSpSEJKyunE9DBRLUggOoY33MtwoJ3hYDvB6Fha1znVuOaauyoJGbspjzxrFbm2SlzmIiyKC1W2xPNmkRNy1HFDM6qFEvf4EN5wH6PBLrzhPgIBL745NIS/EIGEy1I8bRhcNzS8ob6kgTvfc0113WyqB7PimPZvgego4dj8tCkXt6ngNEiSTHVVI319HfgDXux2F+VldYTDQTo7m9D0GCXF8QlZ02MYuoHJZKazqwlJkikuriLHnc/Y2BDdPedm7JFmsdjx5BRgsznpH+iksKCcgcEuvN5hbDYnZaUrUBSV7u5zjHmHMJksFOSXoWkxPJ5CentbGUm4SO02FxUV9cly6PaO03i9w+Tnl1GQX0oo5Kej4+yyykW7XLHioVHcgwV3slJLxcoKbkEzwvRyaGkHuMzIzy+ktrYOq9VKKBSkr6+Xa665kQMH9rB585UcP36Yzs6OSXIgbncOa9du5IUXnp6y6rzw59tvfzMvvvgMb3rTXRw7doi8vHzq6ho4dGg/11xzA+FwmNHREY4cOTjrGAUSubZKbGoOFsUV/6/qwqI4sShOVNmKKplRJHOyynWmHLZy93rKXGvnHEaI6kGea/p3xiMX28NTYFNzKHI0UOZai8daiVV1Ioi/TGatLkzIhhXYazGMzehGDH9kmC7vUVpGduMN97MQOXoF9hVcXfWh1xVuGOxs/186vYcnD0m2UZ2zhdrc7bjMRcnClemwAE5zAXm2amo824hoQfp8pzkz+BJDgbaLNtwEAkUyY1acOM35uM0luC0luCzF2NQcTLIt8dKefnwN+TdSn3f9vI/f7z/Dyy3fXRADVJWs5NmqKHOto9BRh92Ul9SNS6cCNRcwjLUY6IRjfgb8TZwb3kW/v2lRPJyKZKHUuZpqzzbybFWY5LgwerrVs4YRl/OYGP9YqJte32l6xk8yHu6f0zlIQmZT6dspsE0NhWtGlJdbvsNgID2ZrvkgCYWt5e+m0D5VFkY3NF5r+wG9vvl1UFhSg02SZK675q3k55fy6OM/JMedz7vu/RM6Os/idHrYsO5annjqf3nz3R+mr6+d+rqNnGs5RkV5HT/9+T8jJIkrt97O+PgIN994Ly+/+nsOH3l12mMV5Jfyjrd/it7edooKy+nuacGkWvjFA//KmtVXJVqMSNx6y7v5wY/+Docjhw994IucOn2AYNDH7bfezw9+/HdEwiHede+fcK71OBXl9bicHn7683/GZLKy/co7CYZ8VJTV09PXxhNP/s8iX9E3Hrk0TDLWIJGELmSKWE+fcXTa1dQblfFxL4WFReze/RrBYACXy43JZEKWZWKxKN3dnQQCfhRFwWSyYDZbGBsb5eWXn+PWW++ipaV5kvCk2WzGZDKjquqkZs6nT5/g/e//KOfONREMBvH7/ezfv5vW1tQTpUmxcXXlB7Gpk9Xm5yOdMNHYfa5oxswv+nSQhEK+rZpqzzZKnKsSIbn0X2CvRwiBLFRcliKc5kKqPds4O/QyZwZfmtELNoedIwl5kkfCMAxyrKWTDLY8WzWbSt5Onq1qTucyEWoyK3Yq3Jsodq6ieeg1TvQ/Q1SfXwFMjqWMdcV34zQVYFFdKJIpaXCmM66J6mguQi5owuiePwKnKZ/KnM1U5GzEaSqc1QBOuTchEMhYVRcV7k2UutbR7T3Gkd5H8V30wmOGYyIodNSztugu8mxVCKR5Pqcisb/4+C2KkyLHStYU3sZQoI0T/c/Q75/a0WA6NCNK++gBiuz1U559yZCp9mxhMNBCpgqSXOYi8m3VU1I0DMNgPNzHUGD+xQxLZrAZhsH2q+7E5czjkce+TzgcZNvW2+jqbubxJ/8Hk8nCxz7yVfLySsAw2LHzMTyeQvbtfxZJSLhcubS2neSFF3+NOycfq9VBVeWqGQ02gOHhPl586Tfc85aP8tzzD/DOt38aWVY4dPhl8vJKcDpzqFuxgZycfGKxGJFImMef+DHBkI8Pf/BL5OeVMJbwyL3y6kOUldZy2633M+aNh+uef/FBcj1F+H1jrF93LZIkL6vGsZcjNjG9eK1AYMGFjEosa7AlqaqqpbOzg+rqFYyNjeJ0uvD7fRQWFnP06CH8/nh+YHFxKV7vKNXVtZw9e4ri4lJ27HgJAKczLpGg6xrV1SsYGRmitLSCp556lPXrN/Hcc08yOjrC7t07aGlpYnBwAI8nF5fLRTSaOgVCJMJal4K21XQokpmt5fdR5lqDLEwLfh5CCKyqi7VFd+I2l7C/+8EFD5MKIXBbSplIcy5zrWNL2R9iUVwXdT5CCEyylcaCm7Gb8tjX9at5jd1u8lDiXI20xPqMF0N93nWsLrwNi+LMyD2iCJUK90bclhJ2d/yU4eDCpm1IQqY+73rWFN2OKlkX9ByS0RLZSqGjnubhHXP6fLf3OP7CERymye8HIQSlzjXY1KcJREcXariTKHevR5lByLtj7PC8FymwhAab0+lhdeM2zrUcTyZxOh0exsbixk80GiEaCWG1OtB0jWg0QiwaIRIJoxsakiRzxaab2Lj+Os42HcJqdRBOUXURiYTQtBjhcDDezFuAyWThbW/9OMGgj/7+DhRFSVrlPt8okUgoIcsQRZJkfL5RgiEft97ybnLcBZw6vQ+AiooG7r7jg5xpOoiqmOPJopfoC+dSQlyEF+SNyOBgP5FImFAoQHt7K17v+a4EPT3nWzh1drbT2Xl+gn/22ScAqKmpo6YmHmoYHh7k4MG9HDy4N7ndM8+c1+Dbvfv84mnv3p0LfzLLFE2PouvRjBhrFyIJmcqcTcT0MPu7f73goS+nuQBFMpFnq2Zr+bsxy44FOx8hJCrc/3977x0cSXbfeX5eZlaWLxRQ8K6B9t5N93jL4XCGnBkORcpRlERxpVVoFburO+0/u3u7d3G3d9rQXcTuxV3ELSVxRSNSlESJbujt+JnunvbewntX3mbmuz+ygAa6srphCg10T31mEGhUZWW+qnyV75c/991HwcpyfOgbH0it14wRQ1dXt+muEIKQu4mHOj7Dm71/RTJfGaklgWBr/dPsafqYnXu5iu8hmZtgLHnlzhvOI2vEGYydZlv9MyVj87pqaA3t5tpUeefOctEUD22hPY6qGgUrU5JisOT9r+jVKyCVivO1v/u/eOEjv82Dh5/jvSM/Zmj4Grt2PozuchMIhPF4fERjsxOs1H25e9cjHD/5S86df5ePvfBZlEXKP80nEAjT0tzF5//q36OpLh5/7ONzz0lZ2iO9UMiRSERJJKJcvHyc4eHrAGzZtI+h4eu8/sa32Lf3cTZvLi+ltR7R8NAtnkGj2IeGKL3y9XUfTszI6bKRqywxTNa+E/96YmxshG9/e/lVkz091+jpuVbBEZUikZjFCsPFYHvknBcNS5rLqrK0K9eWFzKRWFyffof2mv24VGfZHyklpsyTNZJkCjEyhRh5Mz2nKuJxBfHr9fhddXa4r8yCKIRCV+1hxlJX6I+eWNZ4y+HVaoj4NnCw9VMlxposVilmC3GS+SnShRkKVhYQ6KqPgB4hoDegq+U9L0IodIUPM5G8Rm/0mOM25ZBS2obxHQyF2UKVW8cg51VZLpeVGpmjictEs4PUeTc4fkazhQV5M03WiJEuxMgZSUwrD0JBV3349ToCegS36i8b+reNtmZ2N32UI4N/u6R2V+WYDVeqirM+qz2/C2QKMdKFGTKFOIaVxZIWilDRVR9eVw1eLYRbC6IpLpzC7FJKBmKnl+WF7Yu+z8a6R4r5dPMRbAgfomf6KKasbJ55pFho4bQoTaZukMitTF95bQw2KUml42QySb77vS/wa5/8VwwOXefCxWN0tG/htz/zb1EUhTfffpVYbIpMJoklJZlsCssyyWYzGGaBU6ff4NFHPsaO7YfJ57Nz2mFOmJZJNpvGkhaZbAppWWQySRLxaQYGr/Lrn/rXpFJxxscHMS0TyzJJZ5LMGorZTBLTNHC7fdTURGhsaGf3rkdIpxN86zv/jUtXjvOJl/+Q3/i1/4F0OsHMzPi6k7W4HT4aaGb/XKJrQo7Sx5vr3mCb4hrtPIIu/XNfdiklFgYj8uS6H3+VUvJGmjd6/mJRzU7B7mT/UMdnHHOKBmNnuDD+kyWPQWKRLiy/Gno608946gqtwd1zQtUSi0whxmS6h7HkFWYyA6TztqFjSYv5N6UCgaroBN2NbAgforv2MLrqd1zYVUVjW/2HGI5fwLAW31bnTuiql4faP4PXFV7w3TJlgdHEJXpmjjCV7iNnpIqJ9zel6lSh4dPr6KzZz6bIY3i1GsexK0Jle8OzDCcukDcX32poInWdn1//v++4XUtwB3ubX3Z87srk6/TOLM1QnI9h5VZUcGBYWa5Pv0tdWycg5taLvJlmJjvIePIqk6keEvkJ8kYKSxpzbTts7NQBr6uGluAONkcep8bd4vg5CyFoC+0l4n17xQn3qqKzs/EjjmE/KSU5I0Fv9BgDsVMkchMUzGzx5mf+emhLGWqKB6+rhrCnjUb/Jur9GwnokbkbsIKZoT92+yKlcsSyI0ykrtMa3LUwx1kIar3t1Pk6mUhV9uazo+bAXKX0fCxp0Rc9seIWPRXpw7YcPB5fMXlZousepLTmRGk9Hr/doyxnx3rdbi/5fBbd5SFfyOFy6RhGAcsy8Xjsku183u6y7/H4CATCJcdLJqLk8hkKhTy67rb3p3vJ5dIoiorH46NQyAHC1vqU4NY9c83t3G4vhUKeRx7+GD5vgDfe+jZCCH7tU/+ao8d+yuUrx9F1D5qqkc1l0DQX+XzlLp6rTSeP0S0+NDexE3KUk/KLWPeAhyrCVrrEk3ipQ6CQJcagPMIop1a9rUeVtWe99mFrCe7k8Q2/j2HlGEtepT92gsnUDbLGzRvBxSGI+DZwuP03yy7IlmXwZt9fMZJYuqxda2g3j2/4/TsayFJKUvkpTo1+h+H4uUUvPjWeVh5s/zR13s4yXlCLIwNfpS/6/pLHfic6ww/wSMfvOPQbu3MftruBW/XzoU1/QkCPMJMZpD92gpHERVL5qSUv7h4txL6Wj9MVPuTobZNScn36neL3YfnLfoN/M093/4sS75qUknhulCMDX1t2vpxL8RD2ttEa2k1rcBex7Ajv9n9l2Tfe7TX7ebTzsyVzW0rJjel3OTb091TKBPJoIZ7b/Kf49bqS55K5SX52/b+SXWY7j1nWLCQ6v5vyfMNGSkkms7CP2qzhlstnSrbPZm/elVmWyaaNu9m0sTQcef7Ce/T2XVy4v6IxZlkmaYcu0vM7Ec++JpmcYfu2Bziw7ykCgRr8vhBj4/1z45p1sObz945nR6BQI5zd8vcCU1whKvtwEwAU8iQxuL/kl6rce4wnr3Ji+J+YKIZCln/zIJlK93Jk4Gs80fXPHb1VQqg0B3csy2Bb1AikJJmf5N3+Ly95MY5lhzky8DWe7PpD/HqkdOwIOmr20R898YG7wcqZKU6PfhfTKjCZ7rHDncska8Q5MfRP6KqvxKsEtmep0b8Zl+qhYC7/+tjo3+ToRTJlgZMj315RcUPByjKRus5E6joXx3+KIrQVRUnGk1eI58YIe1oXPC6EoCW0E994eEWe9Pk0BrbgdYVLHpdSMpw4v2JjDdZBH7ZKc+nycS5dXppY+1I4e+4dpqfHiERaiMWneO/oj0neJhR7L+DCT4CmtR7GijDJkWZ1mh5XqbIcTFlYcnXb7ZjJDHBl8nX2Nb/MrTkyQggi3g0oQluVBP6CleX9oX9Y9mIcz41yceLnPND2ayWFQnaIqhO35q/IonavMRwvJ0W4dApWhnOjP6De141bK20Y7NPD+F11RM0hh1cvjpDH2cubyE0wmbq+7P3eSiUqn/Nmmv7oCWqaSsfs1UK0hfZwdeqNFR9HoNBZc8CxCG62zUgluHdrotcIy7IYGLzKqdNvcPHSsXveWAMI0ISLe0e8uEqVDyoD0ZPFkGops2oDlUZKSc/0e4wvsVLvVgbjp0nnpx2f82gB/Lpzi54qSyOaHWY8ddUxh1oRLgLuhmXvWyDKzrGckcSw1l8KzUD0FDmz9DsjhMKG8AOoir7iYwTc9TT4NzoWTcxkBpjJ3F6habFUDbYqhEXXLV3Oq1Spsh5JGzGi2SHHxVhXPWX7P62ErJHg2tRby66anSVnJJkok/CuCI2AXr+i/VeSw4cfQlGWf03ct3c/+/cfrOCIFo/EYizhbFwLBD6tZgX7pmwxna56UR1CpWtNMj/JaOKS47hrve1EvBtWfIzW4C70MhJo/dGTmLIyhuz6+3Sr3FUUNGroWElT9ypVqtwlpDSJ58ZoDmwveU4RGloFvAULjycZS16uWP+u6XQ/XeHDjiE1r2v5hsRyqa9voK4ugiIE+Xye1tY2hoYHObD/IIFAgGPHjpBM2t6Zrq5uujZ009vXg8vloqmxiRs9NzBNk4A/QCqVZOu27Vy+fJHRsVH27dt/19/PLLHcKBIT4bDEu9SVGPWSrOGs8Rl0NxL2tjGV7l3B/iuPxKJn5igdNTe7IMyiCI2u2kNMpK4t+4ZELTYodiJrJCoa8q4abB9w3ITwUV9tQFulyj1CtlBeFNupUnZlSIbj51fsXZslXZhBYpW0YLEVEO5+WkYgEOD5j7yAoihkMhl8Ph/dU91IKUmn0+zZs493330bgB07djIxPs4jjzyGIhSuX7/Gjh07qQnVoGkaqqoRDocJBkO8//7Ru/5e5pM305iWiaIunA9CiLK90xbLdKafbvlQidGtKW72Nb/Mu/1fIWPEyrx6bZhK9zCTGSTi6ypp8dES3InPVUuq4ByuvxNhbxthb5tjOHQsebliRQ1wz4ZERZmfe4X1M/4gbWg4N/esslqsj3O/dO7Vcd9fmLctKqjsOSmYWaYzAxXcX6ZsSG2lhsRymJycJJlMEo/HOXXqBCOjI5w8dZJCocDG7o1MTU2iqiqqqpKIJxgdHSUei5FMJtiwYQNXr15B1930D/Rz9doVxsZGuXjxPN3dG+lo78TrXZvcYLslSLmK25XNkfHkNceCACEEDf7NPN71BzQHdiy6j+LdwLDyxebMpXPPowVpq9mz7H131Owr8dyBfQ76oscrdrMD94CHTUFDJ4iPCD7q8YpadAJoeFBQsdtRmhhkKZAiI2dIM0maSXIk1rxxqkBFJ4CPevw03DJ+DYrjN8lTIE2OBFk5Q5ppskQpkK7oexAIFFzoBPBQS7PYi5OOhoqLEG1YLK/iLEeMHCur+PISwcXyk6gzzFBg8c04VweBjh8/jQRoxivqcBNExRartjAokCZLlKQcI8EIWaIVn7cqbvzUM/9iLTFJMl72WCo6PhoI0YpPNOAmhIYbgSh+5zLkiJOSkyQYIcNkVVnirnD3WmdmjFjZENhyuLVB8HzWIo82mUzwN1/9MiAxTZMzZ09jmiaXL19EVVUikXqefvpZQHL+/DnGxkYZHRtBSommucjlsgwPD2FZFlJKzp8/Sz6fZ3h4iDNnThd7ja4FlTQTFpLIjTOcOO8Y2hZCUOft5PGu32c0cZnr028xkbq+aNWS1WQofo4dDc/h12sXPD5bfHBj+t0lj1NX/cXm2KXPJXJjTKZ6VjLkEtalwWabOM3Uic2E2YCPCBoeQBT/d75DuDlFJQUyJBljQl5gkst3feF2EyLCFurFdgI0oeG1L0i3GT8UEzqFvZgWyJBmkhj9zMgbJBnDZPETSqCi4cZNDT7q8Ism22ikrmg0urFH45BPQh37xG8vW5ynl9fplyvTatsoPkSEbct8teSq/CEjVFauZ7HM5gY2iX2E2YBO4Lbn3z7vEoMcCYYZk2eZ4goGlWm+HKSFPeLTC0JRFnlOyi+RYqFcigs/TeyhSezBR719Y3HbcYNFgRQTjMtzjHFuHRjK9zICIRT7mykUBLYusf1bwbUKhQXlSOdnMCta+bf+1F8M4+b7y2Zvft8KhQJDQ4MMDQ3esr19E2ua5oK/ATKZzILnVg8xb36UzhO3Gli1NBeJxcXxn9Ho34zPVetotGlCpy20m5bgdmYyg/RG32c4fq4ouL42cyBTiDEUP8uWyBMlYw572oj4upasWdrg7ybgjnCr13JWUmslQu9OrCODTeAlTD07aBS77rhQOO9BFD8326tRK7upFV208xAD8h3GOLfqHjc3IVrFAzSxFzche1xLaEg7u61Aw00QnQBh2UWHeJQZrnNBfnNRXi8PYbaJl+e8VMrsqV7k52mPY3lfeYlEyEpcLGz5kuUgkVCRMSwVQYg2NognCNOFwuKEkWc/bxdeauVGakU3SUbpk28xxZWKNBS1dRVvfp5C6nipm2ewCerZSrd4Bh8Ni5ors+9NRScoWwmKVpo5QI/8BVNcZT0u0GuNQKApbryucFELsh6vqwaPFkJXvWiKG1XRUISGItR5v+1/l9MnXQ0yRuID18x2vaAKFx4tiE+vJaDX43PV4nWF0FU/LtWDKlz23FBuzg117rcLTVm9eRLPjXJi+Js82P6bZSXThBCowkXE10XE18Wuxo8wmrjMQOwkk+meivRZWxqSvugxumsfLCm8UIRGV/gw48mri/ZN2g2fDzpK4lVC6N2JdWGwCRQ28CQt4oDtiahQx/3ZRdBPA1t5ET9N9MhfrorckkAhwrbiYlfazXv5+7WNUEVqpJledIhSw0MNHY4dqausDgoarRxmg3jM9qgucw7MztsALezgVxjhJL3y9VVQb7C/G5NcQqDQzkNsEE+iCn1Zpvrs+/XLBnaIX6FH/pJhjq1icObeQaDg1+toDGyhObCNsKcNr6sGVXHNeUbWI0vR96yyctyqn4ivm+bgNiK+Lvx6BJfiKd5olYqjryVD8bO8O1DgQMuvEHI3lR3b7ONeVw1dtYfpDB8kmZ9gKH6W/uhJYtnRu5a6NJMZYjLdS3NgW0nxQXNwBz69jlR+alH78rrCNAW2OBYbTKZ6Viz07sS6WM0lFppwV9RYuxUhVNrkg1jCoFe+VtG7RgUXneIxOngYRbhWxRVtkmdCnq/4ftczEgspZ8+TmPu1HitaVXQ2ig/TwoG5MMVKEQgUodEmD+MVdVyRr644L/CWA+CnASEV2jhMl3jaFl1e4diFsDM3N/IhDJlhjLMVGe69iCJU6n0b2Rx5jMbAVtzFXk3raeG9HZUNh1YpR0BvYGPdQ3TU7Lflu9axEX8TyWjiIq9nR9jR8GE21B7GpXhuO27b66YRcjcTamhmc+QJxpPXuDH9LuOpK6ue62ZJg96ZI7ahdYtnzKMFaQ/t5fLkLxe1r5bgDjxasORxiaQvenzFQu9OrAuDDWBEnqJJ7HVMMrfDWxKTPHmS5EiQJzWXz6XhwUMID7W48DoK34ri3UmbPEyUXmZwbuC4VBQ0usUztHF4UeLJdolBAZMsFgYSiYKKihsV3TEMLJHEGSTJ4i12C4M0kwh5+zG5CaKJ0pwYSxrF5PfleUcKcuXu7h75C4Y5jgsvLrxoxd8ufHP/1vDio87xnN8tFDQ2imdp5WDZcUgpMcmRJUqWGAUy9o0KbtyE8BBGxw9iYU7hrIe1Tm5im3iFS/Jb5CuUHyYQeIlQx+aiZ61UzNl5zDpuwnipxYXPORyCQBEuunmGuBwmw+LuWu8ngnoju5qep71mr+21XPcLcCmrsehUuYmmeNgceYyt9U85asTeC6QLUU4Mf5Pe6PtsrX+a1uBONMV9R8MN7Ga7dq7bDqbSvVyZfJ2RxIWKNZp1YjRxiWRukpBnoRyjEILO8EGuT7+DYd1e5lARKh01+x2v9+n8NGPJyxUd8yzrxmBLM8E0V2mUexBCFI0bkzTTxOgjKntJMkaeFBb5WwyJYqIlQerYRCuH8NPoOGFUodPBI8Rk/7IrIOcft4NHbmusSSmxMEgwzLS8RpxhssxgkscquoEFCiraXDVpiHZCtOElgooOSMbk0vLv0kxxUn75jtttFS/SxG7H15+RX1t21d/KP1vIME2GW3rjzJ1227Dx0cAB8Xtr2JpE0M5DtJQx1qSUZJhhlJNMyitkiRY/Gzn3ertu10cNHbRwgDAbEKglLvta2c0m8REuy+9VLKzvo4Ft4qViUc/8MU8zKk8xSfkxuwlSzzbaOIwHh+RjBG5qaBcPclX+iA9SPltzYAcPtP0qAb3+jovwbJsLiYVp5TEtA1MWMK08hixgWsWf4r9D7iZqyug5Vrl38LlqeaDt12gJ7rxjru7NVihybh6Y0rDnyLy5MTtPNEWnKbBt2TnAS0ViMZXu5b3+v6HW287GuodpC+2Z80AtxuvW4N9UTPy/zLmxHxbbyVT+mpEzU/THTrLL/bxD8UEr9b5uRpOXbruPkLuJOl+pQkIlhd6dWDcGm8RiWJ4gIrZhyCxTXGVCXiDBCOYdRb1t4y5LlGGOMykvs0k8R6PcVbKICgQ1dOCnkQTDKxpzHZvoEI+WNdYsaTJDDwPyHeIM3taIMYAcCRKMMCbPFpfwCHViMyHamGGporpyEZ8bZY1AiV2xuBr5fpVBFlu6FFhLQ6CGDjrEo47GmiVNxjlLj3yNHOVaI9hzN0+CCS4wJa/QyB42imdwSX+J0dYgd5JghEHeq8j4VaGhElgw5jHO0Ctfv+OYs0QZ5AhT8ipbxYuEZVep0SYEDXIHA7xLlmhFxrzeaQnu5KH2z+DWyqd4SCkpWFni2TGmM31EM8Mk8xNkjSQFM4Mh80hpzXnl7QXbQiLZ3fQxajwtd/dNVakoXq2Ghzt+hwb/ptvOEUsapPLTTGf6mckMEs+NkSnEKZhpClYOS5p2es+8eSKxqPN20rBpE4qorPLFnZCYTGf6mB7q59LEz2mv2UtnzUFqPC12usUiDLeW4E7qfJ2cH/sx16ffwbpt38Hl0R89wZbIE7i1hXJStvLBYcaSl28bXWoL7XWs1raF3k9WfLyzrBuDDSDOEBflt0kyUszVWd5CnCfJVflDXMKuFL11kii4qKV7RQabhpdu8XTRA7YQWQzf9sk3GeLYsoweiwJJRknKUQTqmveTq1KKik6XeBoNT0nel5QWw7zPDfmLJZ1/C4NRTpKTcXaIV3DhX7BvRah08Cgz8jopJir0Tm6OeYijxcKcxV8kM0xzWb7KXvFbeImUfBYu/ITpZpTVu5CtF4J6Awdbf7WssSalJFWYpmf6CIPx0yRzk6sa/qmy/lCExr6WV8oaa1JKDCvHUPwMPTNHmc4MUDCz3FseakkyP8mliV9wbept6ryddIYPFFUFwtyugEIIgUcLsr/lE3i0EOfHf1jx0HwiN85Y8koxrHlL8UFgO349UlaOTVM8tDs02rWF3geZqWCj6ZJjr9qel4HEZIrKxH4NsvTJN6gR7aVGlYAgrcW2D8v7EjSxhwDNjpPOwuCG/BnDnFj2/udTNdbWJxG2UkOHY5XQNDfoka8t20M5w3VuyF+wlY8hbqn01fHTLh7hivxexYpn7DFfp1e+vqxwdpYo/fIdtvGSYyPmWtHFqDzFvbXoLA2Bwo7G5wjozlXilrQYiJ3kzOj3Fl2JVuX+ozW0i46afWWNNbtlxj8xnrx2X7RUMawc46mrjKeu4dVCtAR30FX7IBHfhtt63RShsr3hGTKFGa5Nv13RMc3qi7aF9pQI1ru1AO01e7k08QvH10Z8nYTczmt/f/TEqt6A3aPSVIsjwTBJRkset5Ota1Ec+qcsBg0PLeIAThIfUkpGOMEIJ7mfF6cPOgoarcI5b80gS698bVEh6dsxzjmmuV4i5SOEoJ5tdq+0CmGP+fUlNWa+lalivtutCGG3D1HW1/1hxQl5mmkP7S27EPdHj3Ns8O9WbKytxyrpKotDFS62RJ5wbLckpSSZn+Cd/i8xllxp70XnhuhriyRjxLgx8x6v93yeN3v/kqH4OQwr7yhXNqt7urPpeYJ65a51s0ykrhPLDjseu7PmYNk+dh01+x3PX9ZIMJxY3U4O97XBZmEQY9DxhGh4HMOZi6GGTlsw/VbPCpI0U/TLt++LO6Mq5QnQRJDW0lAokimukmBkxcewMBiURx09XhoeGsXOFR8DZr1rVx1vbpZCgQxxhhxzP1z4FxQ23I+0BnfgUh2q3KUklZ/izOj37lh9thhU5e7mJVWpHAF3A3XezjIeWJOzoz8gll35tUNVNNaz1q8p84wmL/NO/xd5p++LzGSc12mw8/266x6u+BgMK0tf9P2Sx4UQ1HhaqPd1lTzn0YI0B3eUEXq/Qjq/PAH5xXJfG2wAGel8NytQHTsUL4aI2Iqj7p2EEXmCPMll7bfKvUOd2IxCqeCvlBbj8iyV8q7GGSyRjgL7ohJh67JvOuYjsRiT5ytwkyFJyXHHt67iWsNK3tVHIG6bQN4fO0G6MFORYzn1fqpyb1Dn7XT03MyGQocTFypyHLfqX1fi6+WwpMFw4jxv9v4lo8lLZT1tbaHdqyLJNhg746iVqwiNzvAD3Gr0Nvg34XPVlmxvSZP+Cgu9O3HfG2xGmbCUYHnNTVXcjnlLAAXSTFYoB6/K+kWg2q03HOZAjnhFvGuzWBSYocfxQualFh+RFR8jT3LFFdOzlKssFaj3dUhUVXR8rjrH5yTWkjUKy6EIrWyOXJX1T8jd6CgUDjCZ6sGwKqMdHHI33XmjdUTGiHF86BukCs4eKp+rFp9eaiitlFRhhuH4ece0k+bANryu0M3HUGiv2edQYCZJ5MaZSFemt+vtuO8Nttt7DZZ+0fNQM6cReit2dWtsyfuscm/hwouXesfnUoxTqLCEVEwOOM5jBZddPLNC0kxWTPaqXA6cfYN0/15uVKGV6BPOYlr5ouj1yvG5wgTdlc/nuX+5ncfj7hu9bi1Q9riJfGWkjAQKEX93RfZ1N0nmJxmInXK8OVUVHY/mvO6uDElv9KhjoYDXVUOTf+vc3x5XqKwXfTB+moJZaenAUu7fK+gq4aUO1SkUhiQmB6u5ax8APNTgcsjHkkhSjFHpYpMMU47VpkIIAqJ5xftPM1m5atN1tkDeNYQoq3JhSQvTqkwvqabAVnTVV5F9fRCwrPIV9muhs3y7Y1ZKlsmvR4j4nCMA651oZgin66cAVKV03a0E0+kBptJ9DoaioK1m79yNZoOv29FoLFhZBmKVF3p34p6KUShoqLhx4ZmTJ1LR5ySdVOFCQSv+2P+uRMhoPl5qHdsWIKVjrlGV+w83Nc75jxIyMlrx4xXIUCDtmLTvoRaBsmyDSyLJyMrkVn2QkdIq2ytKESpaBRYbl+JlY90j3NeGb4UxrBwS50/M56q528PBvI1RVpkcLUFX7WHcauDOm65DRFHk3onV0rU1ZYHemaM0+jctOLYQgnpfF15XDelClJbQLsdwqC30PrYqY7uVdW2wKWh4qSNEByHRip9GdAJoeFBQi5bvbS5ec3rhlbvAuUXIcX8W5m06w1e5n3BTLulbkq+kOHsRkzwGzrktOv5iY+VlesiknXtZZWWYVoG8kQa99AZRVVz49DriK7qoCzbWPUKtt/2e9JysFVkjiSWNko7/QgjC3nYUoa1KJ/1yZIwYUkrHc1iJvLNabzub6h69Z+dIrafN8XHTKpAzVq+YbyRxgWR+mqB7YaqLWwtQ5+3EsHLU+0qb8Evsdj13S3N3XRpsOkEa2EGj2ImfJrsSTlTW8FouTuL0YDe3rXTuUpX1iSbKzQFZ1rBaCbYarXPxjIYbBWUFAU25ot5rVWxMaZDMTzoaVAKFluAORhOXWG64vDW4k52Nz90TlX/riawRI2+k0fTSauqwp5VabztT6d67Np54djZlolTCrd6/EV31kTeXdwPlc9XyQOuvrmoV8Ww4frljvB1+Vx1toT2OxmbGiFesytqJrJFgMHaK7Q3PLlQ+QKExsJmcmSwqNCwkXZhhdJWE3p1YVzlsKm7aeYgD4vfYLJ4nRAeacCPE+mkCqJRpo2BhVkTwvMr6R8VVxrErsVZJlaLc3FpJexqYVWStKmmsHMlEqrzeb2fNQcKepReICBQ6wwc53P7pau7aMsiZaWK5EedenIqbXY3Pr0q7iHLMZAeLMlOlBN0NdNU+yHJC3jXuFh7p/F0ivlI930rSFNjGs5v+hN1NHyXsaa9YHqBHC3Kg9ZP4HTzUUtrfrfwqJ/X3RY9TsBYeQwhBrbeDRv+WkvcqpWQ4vnpC706sGw+blzo2ixeoY6OdwHubSTv/yyexxW9npcAtjOKPicRAxYOHmopN4nKVbnaydVXZ4INBGbHm4n+rwe1Cniutvlzt3kEfFMaSl8mb6RJB6VltxMPtv8mxwa8TzS6mhYog6G5gW/3TdNUeRhU6QogF1757Nex1N5HSZDh+nubA9pLnhBC0BHdwqO3XbbmwMi0lnLHXqKWmIqTy00xl+mgObHf0xO5qfJ6ckWIgdmJRYTZd9dMZPsCOhg/jc9XO7XN2nlR6jihCIeRuZlfjC2yrf4ZodojRxCXGkldJ5MbIm5klfSa66qMpsI0dDc9S63Vul2VYeXpmjrDa62ssN8p48lqJly+gR2gN7SwZmy30Xhn5ycWyLgw2LxF2ik+W1eaUSJB2Lk+GGVKMkZITZImSJ4VBFpM8FkbReLv508xetoiPVXC0zifHNjCrF9APAuUuSPYlfHWc1rfzolUrk9cHidwEQ/GzdNc+VLoYC0Gdt5Onuv8FPTNHGYqfJZWfspPiizlNqnChawFqPW20hHbSEthRFJGH2WuLJQ2uTr1JV/gQHtdqtDm4/xiKn2V7w4fw66V98oRQ6Aw/QL1/I0Pxs0ykrpPKz2DKPCBQhYamuHGpHtyqH48rhNcVxueqYTh+getL1Li0pMH1qXdo9G9GFQsLUYQQ6KqPw+2/QVtoN73RY0QzQxTMzJzxpigaLsVD0N1IU2ArbaE9BN2N9rVnnrE2kriAIlSag6WGaiUQQuBSPdT7NlLv28jORoOskSCeGyeWHSGRGydTiJE3U0XpKQshFDRFR9f8BPQItd4OIr4NBPR6u+1POUm32HEmUz2r8j4WHsukZ+aobZzNM408WqikOlRKSTQzyExmcNXHNZ81N9g0PGwRHy1vrElJhmnG5BkmuUKG6SUJalc6RFUuNKWgLlubtMq9hX0xx8E+F6vSHFYgHFvJwGwovhrSXA9ILC5N/JymwDb8Dk0+hRB4XTXsaPgwW+ufIm+kyJtpLGnalaSqB7fqQ1XcCxbgWSxpcHnyl1wY/wk1nhZaqgbbokgXZrgy+Tr7Wj7umAMohMCv17El8iRbIk9gSXPeTZAoGhNKyTmJZZcn5TaSuMBw/LzdhNXBsNeETkfNftpr9pI30+SMFKZVmNPWdKt+NMWDIlRHiaTJ9A2ODf09bcHdNAW2raondnbfqnDh1+vw63W0BLcjpR3xktIqOlzkXOTM/iydDbTS99LDudEf3rWb0vHkVWLZMWq9N4sfyquXnLy5Ftwl1txga2YftTjH3S1pMMJJ+uRbq1J9txzKFRYI1PteK7GKTYGU4+MC4difbaUIFNQysk4m2aqHbR0Rz41xauTbHG7/TVyKx/G6Nrsoa7qOjzt3b5dSYkmTy5O/5PzYjzFlgYnUDcewWhVnrk+/Q8S3gY6aA2U/M/txgVqmn16lMGWBU6PfIeCuJ+xpKztHBCoeLbjoIgI71+saRwb/lkwhylS6F9PKo6l3XxJudvwss0hm1vA8MvC3ZIy714y+YGXojx4n7Gm97XcrZyQZip+7a+OaZU2LDjS8tIiDjn3NpLQY5CjX5E9WZKxVulghLxOOOT/2klq94/0gYLdvcQqNC/RVmAMqellDME+yWjSwzhiIneL40DfIGYmygtaLRUpJzkxxauTbnBv7wVxH9snUjbvWSuB+wLByHB/6RwZiJ9fF55bKT/Fu/1eYSvdWZI6YlkFf9H3e6f8yqbytn53MTy4xL+/OmNKw88ZXOOZySCkpmFmuTb3J231/TTI/sSrHuR0DsVO3bSFiC71fXnWhdyfW1MMWpBUvdaXN6JAkGKFfvrXixchJoHslZIg6VWWDEPhkPVNURjOwyvolSwyTQqmYuSg2Vq7wtWy2SbQTGaJVD9u6Q9IXfZ9kboLdzS/S6N/sGL667R6kxJIGY8mrnB//EVPpPuZPrHhulKwRd8zLquJMzkxydPDrTKZ72Vb/1Jz261K9lJUyVuK5Ud7q+wI7Gj5MV+2D6KpvQb7i4sZh61henPg5/dETCySWClaO6XQ/IbdzutFyGE1c5MjA1+iufYg634a5CtuV7H/28yxYWcaTV7ky+ToTqetrdl1L5acYSVygq/bBMpE/k77oiTUp1lpTg61GtDsnaUsYk2cq0tPKLSrbk8aWCTJKcooEghrRzoAUVKtF729yxCmQKjHYBMLOxVyB8oATPuqd5dCkJCmXl0dzP5EzU/RGjzoWZtyNZOVyTGX6eKv3CzQFtrCh9hD1vm48WrCYR+VcXDWrOzqZukF/7CSTqRuOOoc5I8W1qbcIzmu2KqW5rOai6fwMvTNHcQq4zGQrm1SdNZL0zhxDOITK7kY/NMPKcWXyNQZjp2mv2UtbaA817hZ01XubLvt29bdh5cmbaZK5SaLZIQZjp1Y8nqyR4NTIt+mZOcqG8CFagtvx6xE0RS87Fqt4nmeyQwzGzjCcOE/OsbWEpC96vGhY3NzXTGZg2eM1rDx90eMMxE4T0Otp8G+i3t9N2NOKRwvhUj0oQise7TadHpBYskDOSBHPjTGWvMJI4iLx3BhyjT2gEklv9H06ww+gOrTySOTHmUiXb+GzmqyhwSbwUud4Ti0KxFj+pJp/DB/1FS3etCtTk7Yn5RaCtOEmWFU8uM8xyJFg1J6/t+CnARf+iuZchkWnY9qARYEEIxU7zr1KKj/FscG/W+thOGLKPMOJ84wkLsxVxwX0ejxaCFXREQgsaaITYCJ7lWR+kkwhSsHKcbsbP4nFxYmfVWSM0ewQRwe/XpF93YlkfoJjQ2t/rmYLEa5NvYVHC+HX6/C5avFoQVTFhUDBkiaGlSVnpsgU4uSMBFkjgWHllh1WbWrsAGBs/Ob6JpFEs0NER4c4P/4j/K46Au56vK4wuuJBCHVuLFkjQSo/TbowQ85I3fHGcDR5idHkpWWN9XZY0iCeGyWeG+X69DuoQkNXfXi0IG4tgFsL4FI9aIrb9i4Xb2JNq0DezJA14mQKUTKFeLEVyNqHqeejKa6yXsPB2Jm7IvTuxJoZbAKBhscxx8wkXxG5HBc+AjRVNI+tQIYEw3hkuOSE6vipYzMjnKjY8Vafcm1Kqk1KyiOZkddpYIfjHKihgwkuVORIKm7CdDvO4QwzZJiqyHGqrC4SSc5IkjOSxfDmTbxKmL3BX2M8+UMMWXmljPsHgaqqmGblGpRb0iRdmFnVLvrzeeWVf44A/vIL/4tjaNWwcsRyI8Ry99KNmMSUBTJG7K4WCKwWdrPqBxyjfwUrWxHP6nJZY6WD1W1AWkv3KhQCSCblZcolnbeKQ7i4dzqSl2sJYef+rSshjHXFDD3kcQg/CUGT2Lsi9YH5hNlge4lvQUrJNNeqslLLRBMe/GoDAbURtwguuDi7lSC6CKCg4VMi+JRImXYtArcSsvehBLn1eqbiwqdEAIFLeAmoDfiUurl9CQRuEaBB34ZHCRFUGwmqzQTUxpLF4nbj/aDQ1bWdFz/22bUexopQhIKirF37J1Vx4dHXThje76kthp6XhtsVuGvVrn49QlNgq4OHTTKV6lmhJvDKWDMPmyxqGEpkifdAQSvbd2qxqLhpE4dYDT/RDD1kiOKldsHYhRAEZCNt4jC98g3uhVy2AhnHc+DCiwsPZhkNyw86WWJMcZUWubBNgEBQSxdhNjDDjRUdQ0WnXTzouDib5BiXlfHifdBo0ney2fcMKq65xaM38y592XcB2Oh9Al34kUhqtFZU4SZhjHI+9V2ylu1B0ISbzd4P0ahvZ/Z7PpI/x43065jFPpEhrZWd/pe4lvklG71P4laCCAQXUq8ylr9ISGtji+9DBNQG3EqInYGPI6WFIXOcSvw9eWnfEDTqO9jifaaodmCPty9zhN7s0pq2LgUhBG63F0VRMYwC+fzyPX9u3YOquTBNk3w+UzZp3+32oaoquVzG0Yu2c8dhmps6SxQfloqiqLjdXizTIFfmfamqhq57EEA+n8Mwy/f+VFXN3p9lksstfH/25+gDJLlc+TCay6XjcrkxCnnyhdW75vo9YSI1nfSMHC+7ja758HvDzCQWo8ixNA5sfZn3L32TbH5puZab2g4zkxhhZKry4d1baQvtxq2WGrWWlPQtUoFitVjDHDZp53o5VFyquPFRT4blls0K2nmIEKVCzJWgQIoxeZouni4ZuxAK7fJhu9kv51jvRltWRu1/3PI+NDwEaSPLve/iXh0kw/I4DWJHSWhfwUW3eJqUHCNfpmfbnRG0cIAaNjg2x5ziGinW7k7vXkUVOpt9H2I8f5G+zHsA+NQIBXkzBUOg0qjv4GLq+1xK/RC3EmBP4FNs8T3LueS3kEi6vY/ToG/lTPIfSZlTBNRG9gQ+gSFz9GTenNuTT62jw3OIS6kfkjancSsBMlYUgLgxzMnE39HuPkiX91GOx79CQWbnVF3ANto3e59honCV3sw7xfHW2dutEq0t3bz04u/R3r4Zl0snk0lx5OhP+PkvvoFhFGhu6uSlFz/Hq9/76wW5WOFwA5/6lT/i57/8R3p7LxIK1vHyS59j86a9eLw+CoU85y8c4dXvfZF02s7xfOLxj6PrHjweL4cPPYvb7WV8fJBvfuvz9PXboto7dhxi/74nOLj/KYQi+OM/+jOQMDE1zDe/9XkMY/GN1NvbNvHKx/+Aurom8vkcqVQcKS2Ghm7wnVe/gJRw6IFnePKJV4hE7OrK6ekxfvDDr3Dh4rG5/WzetIe9ex7jxMnXePmlf0Z72ybyhRz/8I3/l7PnbMPf6/Xz0oufY9/exzBNk7Nn30HTXAuMUUVROXzoWZ55+pOEQnWkUnHeePO7vPPuD1YU+vV76vB7wwS8Eabjg0STI7hdPurD3cRT43PbaapOS2QbusvH6NQVDDPPjg1PE/I3MDB+jv6x04QDzaSyUXL5JE11WxifuU7Q14CqaISDrUzH+4kmRwl462mq3UgsNc5kbGFV8yyqotFUtwUBDE1cpGBmCXgjNNVuIp6eYDLaiwQawl2EfA2MzVwnmZlCFKusdZePSKiD0akrq1KlqSluOsMHHe2GdGGG0cTqG4y3Y0396uUq3ASCRrFrWW5/gUILB+gQjy7L9bpYRjhFminHSaMKnc3iBdo4VLHO9ypu1DLC8yshxUSZhE9BizhQ8bYo9xNJRhnldMl1SQhBkDY2i+fLtuO4PYIGtrNBPOnYmd0gw4B8t9rOYxnMerACaiO64qcgM0SNflLm5ILt0tYUI7mz5GWKhDnGYO59Iq5NuIQPTXho0fcwkH2fqDFAQaaZMXoZyp2kzb0fVdz8ngqh0Jc5wozRR04miJsjFKTtaZFYmDKPJQ2klBgyjynzC8LckvnjDRTHO0DKXL3+VBLJ2PgAX//7/8rn/+I/cPr0W3z8pd9n65b9AMTi03R0bOHwoWcXvG7vnkfZtvUA0Rl7bJY0SaUTfPvVv+K//cV/4Kc/+zsee+RFHn3kplRgR8cWPvmJP6S9bRN/+/X/wpe+/J/xuH38xq//CS6XHQIrFPL0918hkYwSnZng9Om3OXXmLa5cOYllLf474HK5+a1P/ym5XIbP/8V/5G+//l+oq21ECIX3j/9irk2GoiicPvMW//2L/4m//tL/TqGQ4zOf/jf4/TfTa2prG3n88Zf4xCt/yKnTb/JXf/2/8v0ffJmR0dn8RMHzz/0WDx7+MN999b/zpa/8GZpLZ8f2BxaM6eCBJ/nVT/4xR478hL/4y//I2+98n1955Q859MAzi35fTkRqOtjV/WGy+ST7t7yIRw9imAWktOhs2js3xj0bn6fG30Q2n0QIBcsyKJhZMrk4seRocft9hPwNCEVla8djqKqLtoadbN/wJLl8EktK3HqAA1teJJNPsK3zcSKhDsdxuV0+3C4/XncNO7ufwe0KcHDry2TzSbpbHqA5spXmui1sbD1MJp/gwJaX8OhBQOJ2+di36aOYlrFqLTUivi7CntaSx6WUDMXP3lWhdyfWtK1HnEEMMiU5X0II6uU2Gtm1JC+VCx/t4mHaeXDVDY08Cfrk62zj48Uy5oVhMU142MRzhOlmUL5LgpGyslbOCFx48dNEndhELRvpk28wSWUt/DSTZImV9MMTQhCWXXTyKP28vcSxf1CQDMh3qBVd+GXTwtCoEDTIXajCww35M1JMsJh5rOKmhYNsEI87KmdIaTEoj5Kk2s5jOVgYXEx+jy2+D3M49FnixigDufeZyF9ZcOOSs5IL5nzanEYTblyKF1MauBQfaWthwUfSnMStBNGEe06yxpJGyXZLHm/q+8Xx/i5xY5TB3HEm8pdXTZJsZKSX73z3C3N/j08M8tBDH6G9fTMXLh4jk0ly4sRrHDz4ND/9+T+Qy6XRNBeHDz3L2XPvEYsXG7cmY3z7O385t5+Bgasc3P8UGzq3LQhr5vJZ/vGb/x9TU/ac/tkvvsFnPv2nBINhpqfHuHbtDNeunWH/vscxjAJvvfN9lhO5CAbDtLZ088MffZWJySEAzp0/wpYtexkd7Z/b7uixhdW3P/rx1/iXf/znhMP1pFI3OwD4fSHeePM7nDj5OgDXrp2Ze87nC/DQgx/hzTdfndvf2NgAe3Y9PLeNy6Xz4Wd/g+MnXuO1N75l62YOXGXL5n08+cQrvH/8lyvyso1NX2N48iJt9TsI+CJMRntJpCeoDbYAtrcrHGjmrbNfpWDcDNcm0pNYlsl0orSly/xr3ODEBYYm7bSMhnA34WALbfU78OhBQv5GpuL9Ja/PFdIMjNuf0+Edn6LG30g6G2No8gKmZdAc2YKUFgNjZxieukRLZCshXwMAu7o/TO/oCcZnVqelhhAqm+oeRRGlZpFh5eibeZ+1jpitqcGWJcoMPTTInSUuSEW42MwLuGUNo5wuJniXflgCBZ0gETbTKh7ATxMI22iS0g67uvAuuOutFBNcJEALHfLhkrYLtmaaRr3cRp3YSIIRZuQNEgwXG6/m5y64CgoKLlx48RDGJxoI0oKfBnQCxQR2WbFE9vkYZJjiCu3yYcfwbieP46OeIXmUJONYFObubmYNPIFSzDt0o+FGJ0CKlYQDyyHmGZW2YJPtwXIOe6voqLjtztzYd8+zvytFniRX5Y/ZJT6FS/pLjLY6uYmgaGGc80zIC6SZxCA35x2z35GKmyBhumgW+wnRaj/jGAq9yiBHKvoePmjEzRFOJv6WgNZMq76X3f5X6FXf4UbmjbltbM/4vDC30OZpI9rz6VbvuSo0+3l50+sjWXmj1YQ5ysnE1wlqTbTqe9nlf5k+tZHrmddWtN/yCGprG2hv20Q43IDPG8Cte9G0mzfBx0/8kmee/iTdXTu4dPk4LS1ddLRv5nvf/+KC9xsI1NDevplIXTMej49wuJ5sbmEHgMnJYWKxm0ZtOh1HUZQFx6sE+XyWbC5NQ0MrQiioqkok0kwiEcWad85UVaOpqZPWli4CgRoaG9oRioKqLDzfmWyK3j7nG+iamgiBYA29fRdvbp9JMj4xNPd3IBCmqbGDaHSCjzz36QWvjdQ143Z750LHyyHkb0TXfHj0IPl8GhAoimpreYpi2xIzTzjQRCw5hiUtDDOHZZnoLi+q4sK0ChhmAZ8njD8bx+uuKe7dbuw8SzafJJYc5VL/myhCIZ1zTqVxaR4C3jpAUChkyOTjeNwBdJfPDr1mZrAsg5pAM5OxPjx6kGwhiUBwqf8NGmq6qK/pYjLWu+zPpRwNvo20BEsr/21lgytEs0NlXnn3WFODTWIxKI9QKzaW5AGJYmVVN0/TykHiDJGSE8V2HxIVHbcI4acBP422l07cXNCllGSJcVF+k27xIWrpWpXx98k3cAkfzXKvYwhWCIGKTpgN1NCJxMLCwKQwd0dvmx4uFLRiGNh5sV4tRuRJGsXuonG48BwIodIgdxIRW8kRKxqbOWaFzlVcaHjmQrYqOgKFs/Lr5JeRdK8TJEQbGu45A1ATnjnjSyv+tv92zR3TiQ3iMVo5iIWJSQ6TfPEnhzH7W+aKf+fIkyJG35JDjTH6uCp/xFbxIpr0lBhtOn7a5GFaxUFyJMkTLxZ7WKjo6ARwE7Ib8QrBrQUgYJ//OINclT+qFoKsGIGFSdwYIm4MI5E06Tvoybw1d+79agRd8ZOz4oCgVuskZyXIySRSWiSNcepc3Yzmz2PfTCnUubpJmuNLbs1hYc31qio3XolJ3BgmboxgYdKk7+BG5s1V6F8leOThF3j5xd9jfGKI4ZEe8rksirJwbCOjffT2XeLw4We5fOUEBw88xeTk8AIDZuuW/fzWp/+UTCbFwMAVkqk4ilq65BQK+VW9vs2STMb56U//jo++8Dts2bwfl0unvr6Fv/nq/4ll2Z+jrnv49V/9l+zccZievotMTY2i627n76Rllc2f0zQXilAWFBBIKSnM+9ul6Wiai3C4ga4NN99/IjHD0PANLHNl59bt8rF/y8cYm7lGIj1BQ7iLruYH8OgBNrc9zLWh9zh74yds7XgUIVSuDx1hMtbHRKyXlsg29m56nrM3fkrv6Al2dX2IcKDFzh2TFsn0FNnczcKBRHqSvtFT7Ox6BsPMcb7nFxQcGt+PTl+luW4bPneIi32vk0hPMTB2lgObXySdi3G9/w2ktNje+SQHtrzE8ORFEqkJEulJkpkphicvsqn1IWYSQ5jW4nMX74RL9bK76aNoSmklqikLXJ16Y11Imq25+HucIQbku3TxlGP3ayEUPIRxU0ODw+udkgNtz1qMy/K7xBkkziBhWZq8XQlM8lyTP8IUOVrlA47u1PljFahFz9DdF+QtR5pJ+uVbbOI5hMP4baPThY96xxYTt7KSi28t3WwXr5Q+IZamC2sb/L6yLVYksqTgJUeM4/ILy+oBOMFFkLBFvFDiaYPZc6/hJYyX8JL2LaUkSi+X5avkqkUgK8ItAmzzP0/MGCZnJdAVP4361mJI9KahrggXO/0fYyx/Ca8Sps19kOuZ1+ZCnTcyr7M78AlMWSBuDFPjaqPetYVzyW8vOVSZNMdQhc4m71NEjQEECmP5i1gU0IWf7f4XiBsjZK14cbzbmSqsjnRPwB/i4y99jhMnX+db3/lLDKOAx+3j8OEPL9jONA2OHP0Jr7z8BzQ0tLF/7+O8d/Qnc5WQqqrx4sc+y8zMOH/xV/8z2WwaIQQbOreVHvSuOYslk1MjTE6OcPzEL0mnEwwOXScev1nctmXzXh5++AX+2+f/PRcuHkNKyebiY0shk05iGAVqQjebayuKis8XnAurZjJJMpkkR47+hF++9s3KvMV5jE1f41L/Ta/xRLSHiehC5Y9ocoSjF/9pwWO5fJJjl24+lkhP8N6Fv1+wTf/4GRYi6Rs7Rd/YKQB0l499mz+Gpt70kk7G+jl346cl45z/ulnO9fysZJtZzt74cck+VoIiNHY1Pk+Df6Ojo2QkcYGJ1Moq/ivFmhtsIBnkPVx4aZOHyxo8wl6x77w3KUkxzhX5PeLYLsy4HEAKa1VCimAbbdflz0gyygaexENpU931zjAn0GWQDh62K3LWuG3uan9+jvNpRQuHZIIL5GWSzeIjBGTLit+DLIYdxjhDj3yNQsVDzB88DJkjZU5S79qEKtwYMkd/9hhDuYXNrmPGAGP5SzTrdvHTlfRPGc6dmnt+snCN04l/oN1ziHbPA2StGKcT/8CM0T/vWFmiRj8Wt/cExIxhLiRfpcW9l6DWTNqcYqJwGUuCIfMkzQnqXBvRiuMdzB5nMHeC1bB0NJcLt9vL5NQohlFAINi6dT91tY0l256/cJSPv/z7PPn4xwkEw5w69ebcc0IoeL0Bhoauk8vZnpaWli42bNjG1aunlzW2TDZNXW0jmqYtqTJ0Prt3P4JlGqTTCQqFPJFIM5ZlkUxGAfB6A0jLYnp6DCklmubi4IGnUJfYOy0Wn2J4pIcD+5/i5Kk3yeezNDdvoL1tE5evnAQgmYpz/sJRHn7oeU6depOZ6ITtkdc9aJprQb7cUokmR0hl7k4zYCfyhXSJcTY/VWC9oKs+djY+x5bIk44RsryZ4uL4zxaEf9eSdWCw2Ym1N+QvyDDDBh5HJ7gsQV6LAuOcp1e+scATkWIcgww6q9cwUGIyymmiso828SCNcpd9vCV6hkr2K+2OdSkmyBKt3IBvPQ4mvbxOVsbYwON2w+EVjv2DSIx+zsiv0y4epFkeQKfU23Yn7HNukWCEAfk2U1ytVoRWCJMC1zOvs9BadzZ8RnJnGM6dLrvNjNHPTLK/uK/S5xPmKMfjXy27//nHH8mfZSR/ruRYFoVibt2dx1sJEoko5y8c5YXnf4vmpg48Hh+RSAvDI70lnvN4fIazZ9/lqac+wfnzR5iYvNm3yzDynDz1Bs8/92kkYBoF2ts3Mzzcs3A/0lqQPwYgpd3z6lZOnXqD3/vdf8cf/eF/IhafJhGf4dXvf3HRifkul04iPk3bAx/is7/77wBQVZV0OsmXvvxn3Og5z42e88TiU3z2d/4t12+cp6mpA5AkktEFlYlSypJxz6dQyPP9H3yFz332f+Jf/fGfMz0zRmNjB2NjA3OGi5QWr37/i/z+5/4j/+Z//H8YHLqGoqjUR1p47+hP+MlPly8XNr91x1pRyZDlUnFrAVyKh4KZxZSFYu6p3W9UVVx4tBCNgc1srH2YWm+7o7EmpcXVyTeZXoH2aqVZd0rlXiK0iAPUsw0PNQjUsgve7MKWJ0mUPkblSWIMlCxuApW94rcI0T73WIE0J+UXV0n3U+ChhghbiYitBGhEw4tAuePiPfueTHJkiBKnnyl5jThDdy13yUMtzWIf9WzHS62dW3ebcc+Ww1sY5EmRZorr8qekWXrrgUZ2s028vILRL58cMU7IL2JQGZ04L3U0it3Usw0fEbtyuYwRPHveC6SJM8iYPMcMNyp2zsNsYLf4jRIvs8TkvPwGM1RGJL2OzewSv8qt7kuJxWn5NySofDPOSrPT/zI+tZbj8a9+IA1lnzfAgQNP0dTUQTQ6yalTb6K5XBhGgenphb3/amoiNDdvYHJimKnphZXLLpfO7l2P0LVhG5lsirPn3iWZjOHzBRkZ6QWgsbEDt9vDwMA1Zpciny9Ia2s3fX2XF+R8KYrC1i372brFblbd13+Z02feXrTn5rlnf4PDh57li1/+P4gWixy8Hh+f+73/wMTEEF/56p8D0NTUwf59T+DzBRkcvMq5c0dobOpgdLRvLuQbDNbS1NhOT+/FsgajQNDRuZU9ux4CITh79l2SqRgej4/h4ZvfN58vyM4dh2hr24yUFsPDPVy+fIJE0etXZelsrHuE/S2foGBmKFhZLMuwc0VRcKlePFpwLl+tXFrVWPIyb/d9kYK1NrqhTqw7g20WFz78NBKgCa+ow4W/WJVlKyTkSZGVUdJMkGKiWJFY/q3oBBfkjUksskRX/YJslxwE8BHBRwSPqMGFHw03tiCubegYZCmQIivjZJkhUxSZv1M4ZTXR8OAlMncOdAJo6ICCLBZO5EmRlwmyRItjTmCQXfbnquLGTbCyb2SRSEwyRKn0V0JFx0sdAZrxiQhuQsVCCYFFgQIpMjJKignSjJPnzqLOS0XBhYcQTnkFWWIVm2cqelk5uCzRe6I9zE7/S/jUug+swXav0dmxlXD49rm1k1MjfPylf0Y2m+ZLX/nPc4+rqsYf/9GfEYtNzRlsVe59NtU9xqG2X19WWoqUknhujLf7/vuaylA5sW4NtipVqlRZCwJqE6pwETNK+1BVWV8IIXjh+d9m+7aDt93u/eO/wKXpfPSjv8PPfv4PjI8P4vH42LnjMNu3HeQLf/2/zeWWVbn3Wa7BJqUkkR/nvf6vMp3pu/ML7jJVg61KlSpVqtyzKMqdU00sS6JpGocPPcvePY/h94coFHIMj/Ry7NjP6B+4cldai1S5OyzVYJNIpLQYS17l1PC3iOVGVnmEy6NqsFWpUqVKlQ8M9iJuL31VI+3+ZFPdoxxq+3VmU0DK5amB3Wctmh3m+tQ7DMROYljrt89l1WCrUqVKlSpVqtw3eLQQTYGtBN2N+Fy1eLQALtVjK5ZIi4KVJVOIEs2OMJXqIZYbwbDyd97xGlM12KpUqVKlSpUq9ykLJQ1nTZ5KyxTeDaoGW5UqVapUqVKlyjqnnHhdlSpVqlSpUqVKlXVC1WCrUqVKlSpVqlRZ51QNtipVqlSpUqVKlXVO1WCrUqVKlSpVqlRZ51QNtipVqlSpUqVKlXVO1WCrUqVKlSpVqlRZ51QNtipVqlSpUqVKlXVO1WCrUqVKlSpVqlRZ51QNtipVqlSpUqVKlXXO/w9H7cC/kBxDNAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ---- Plotting Word Cloud ----\n",
    "metadatas_text = ' '.join(animes_df.metadatas)\n",
    "\n",
    "metadatas_word_cloud = WordCloud(\n",
    "    collocations=False # only consider words as unigrams, example, 'Dragon Ball' is considered as two words: 'Dragon' and 'Ball'\n",
    "     , background_color='black'\n",
    "    , colormap='Purples'\n",
    "    , width=2048\n",
    "    , height=1080\n",
    "    , random_state=SEED\n",
    ").generate(metadatas_text)\n",
    "\n",
    "plt.figure(facecolor='k')\n",
    "plt.imshow(metadatas_word_cloud)\n",
    "plt.tight_layout(pad=0)\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11f317e0-1dd8-4fd2-8405-0b53c379ac22",
   "metadata": {},
   "source": [
    "<h1 id='2-lower-casing-and-removing-all-break-lines-and-special-characters' style='color:#7159c1; border-bottom:3px solid #7159c1; letter-spacing:2px; font-family:JetBrains Mono; font-weight: bold; text-align:left; font-size:240%;padding:0'>✨ | Lower Casing and Removing All Break Lines and Special Characters</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "851cb657-e1d9-4b7e-9c64-bb40e38e8e35",
   "metadata": {},
   "outputs": [],
   "source": [
    "# ---- Lower Casing ----\n",
    "animes_df.metadatas = animes_df.metadatas.apply(lambda metadata: metadata.lower())\n",
    "\n",
    "# ---- Removing All Break Lines (\\n) and Special Characters (\\t \\r \\x0b \\x0c) ----\n",
    "animes_df.metadatas = animes_df.metadatas.apply(lambda metadata: ' '.join(metadata.split()))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "581fbb44-fa87-4463-afb0-731cc33d03c2",
   "metadata": {},
   "source": [
    "<h1 id='3-calculating-term-frequence-inversee-document-frequence-tfidf' style='color:#7159c1; border-bottom:3px solid #7159c1; letter-spacing:2px; font-family:JetBrains Mono; font-weight: bold; text-align:left; font-size:240%;padding:0'>✨ | Calculating Term Frequence - Inverse Document Frequence (TF-IDF)</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a34f1ada-dfbf-402b-a26a-f5b5dda3f727",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "- Number of Animes: 23748\n",
      "- Number of Words to Describe the Animes: 43\n"
     ]
    }
   ],
   "source": [
    "# ---- Calculating TF-IDF ----\n",
    "tfidf_vectorizer = TfidfVectorizer(analyzer='word', norm='l2', stop_words='english')\n",
    "tfidf_metadatas = tfidf_vectorizer.fit_transform(animes_df.metadatas)\n",
    "\n",
    "print(f'- Number of Animes: {tfidf_metadatas.shape[0]}')\n",
    "print(f'- Number of Words to Describe the Animes: {tfidf_metadatas.shape[1]}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "701e18e6-5c7d-40eb-aaf3-d94461659f4b",
   "metadata": {},
   "source": [
    "<h1 id='4-calculating-cosine-similarity' style='color:#7159c1; border-bottom:3px solid #7159c1; letter-spacing:2px; font-family:JetBrains Mono; font-weight: bold; text-align:left; font-size:240%;padding:0'>✨ | Calculating Cosine Similarity</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "eb2ac191-7443-43f4-96d1-0aa5eebea6c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# ---- Calculating Cosine Similarity ----\n",
    "cosine_similarity_metadatas = linear_kernel(tfidf_metadatas, tfidf_metadatas)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8a6850e-a21d-41d6-bd88-3befb013f7e8",
   "metadata": {},
   "source": [
    "<h1 id='5-dealing-with-duplicated-titles' style='color:#7159c1; border-bottom:3px solid #7159c1; letter-spacing:2px; font-family:JetBrains Mono; font-weight: bold; text-align:left; font-size:240%;padding:0'>✨ | Dealing with Duplicated Titles</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a03f933c-4a59-49d7-8b28-1f68426a5fbe",
   "metadata": {},
   "outputs": [],
   "source": [
    "# ---- Dealing with Duplicated Titles: Getting Duplicated Titles List ----\n",
    "duplicated_title_indexes = animes_df.title.duplicated(keep=False)\n",
    "duplicated_title_list = transform_duplicated_titles(\n",
    "    animes_df[duplicated_title_indexes].sort_values(by='title', ascending=True).title.to_list()\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "dfa22e44-afa7-49dd-8c21-35f1250f7226",
   "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>title</th>\n",
       "      <th>score</th>\n",
       "      <th>genres</th>\n",
       "      <th>is_hentai</th>\n",
       "      <th>type</th>\n",
       "      <th>source</th>\n",
       "      <th>image_url</th>\n",
       "      <th>metadatas</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>39783</th>\n",
       "      <td>5-toubun no hanayome</td>\n",
       "      <td>8.08</td>\n",
       "      <td>comedy, romance</td>\n",
       "      <td>0</td>\n",
       "      <td>tv</td>\n",
       "      <td>manga</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/1775/109514.jpg</td>\n",
       "      <td>comedy romance tv manga</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38101</th>\n",
       "      <td>5-toubun no hanayome 2</td>\n",
       "      <td>7.66</td>\n",
       "      <td>comedy, romance</td>\n",
       "      <td>0</td>\n",
       "      <td>tv</td>\n",
       "      <td>manga</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/1819/97947.jpg</td>\n",
       "      <td>comedy romance tv manga</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55658</th>\n",
       "      <td>awakening</td>\n",
       "      <td>-1.00</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "      <td>music</td>\n",
       "      <td>original</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/1632/136466.jpg</td>\n",
       "      <td>music original</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54618</th>\n",
       "      <td>awakening 2</td>\n",
       "      <td>-1.00</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "      <td>music</td>\n",
       "      <td>mixed media</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/1535/133770.jpg</td>\n",
       "      <td>music mixed_media</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55351</th>\n",
       "      <td>azur lane</td>\n",
       "      <td>-1.00</td>\n",
       "      <td>slice of life, action</td>\n",
       "      <td>0</td>\n",
       "      <td>special</td>\n",
       "      <td>game</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/1421/135967.jpg</td>\n",
       "      <td>slice_of_life action special game</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48365</th>\n",
       "      <td>youkai watch 3</td>\n",
       "      <td>6.21</td>\n",
       "      <td>comedy, supernatural</td>\n",
       "      <td>0</td>\n",
       "      <td>tv</td>\n",
       "      <td>game</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/1682/118273.jpg</td>\n",
       "      <td>comedy supernatural tv game</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10495</th>\n",
       "      <td>yuru yuri</td>\n",
       "      <td>7.57</td>\n",
       "      <td>girls love, comedy, award winning</td>\n",
       "      <td>0</td>\n",
       "      <td>tv</td>\n",
       "      <td>manga</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/12/75173.jpg</td>\n",
       "      <td>girls_love comedy award_winning tv manga</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12403</th>\n",
       "      <td>yuru yuri 2</td>\n",
       "      <td>7.82</td>\n",
       "      <td>girls love, comedy</td>\n",
       "      <td>0</td>\n",
       "      <td>tv</td>\n",
       "      <td>manga</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/8/75174.jpg</td>\n",
       "      <td>girls_love comedy tv manga</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30902</th>\n",
       "      <td>yuru yuri nachuyachumi</td>\n",
       "      <td>7.77</td>\n",
       "      <td>girls love, comedy</td>\n",
       "      <td>0</td>\n",
       "      <td>special</td>\n",
       "      <td>manga</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/2/75992.jpg</td>\n",
       "      <td>girls_love comedy special manga</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23225</th>\n",
       "      <td>yuru yuri nachuyachumi 2</td>\n",
       "      <td>7.85</td>\n",
       "      <td>girls love, comedy</td>\n",
       "      <td>0</td>\n",
       "      <td>ova</td>\n",
       "      <td>manga</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/2/73281.jpg</td>\n",
       "      <td>girls_love comedy ova manga</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>126 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          title  score                             genres  \\\n",
       "id                                                                          \n",
       "39783      5-toubun no hanayome   8.08                    comedy, romance   \n",
       "38101    5-toubun no hanayome 2   7.66                    comedy, romance   \n",
       "55658                 awakening  -1.00                                  -   \n",
       "54618               awakening 2  -1.00                                  -   \n",
       "55351                 azur lane  -1.00              slice of life, action   \n",
       "...                         ...    ...                                ...   \n",
       "48365            youkai watch 3   6.21               comedy, supernatural   \n",
       "10495                 yuru yuri   7.57  girls love, comedy, award winning   \n",
       "12403               yuru yuri 2   7.82                 girls love, comedy   \n",
       "30902    yuru yuri nachuyachumi   7.77                 girls love, comedy   \n",
       "23225  yuru yuri nachuyachumi 2   7.85                 girls love, comedy   \n",
       "\n",
       "       is_hentai     type       source  \\\n",
       "id                                       \n",
       "39783          0       tv        manga   \n",
       "38101          0       tv        manga   \n",
       "55658          0    music     original   \n",
       "54618          0    music  mixed media   \n",
       "55351          0  special         game   \n",
       "...          ...      ...          ...   \n",
       "48365          0       tv         game   \n",
       "10495          0       tv        manga   \n",
       "12403          0       tv        manga   \n",
       "30902          0  special        manga   \n",
       "23225          0      ova        manga   \n",
       "\n",
       "                                                      image_url  \\\n",
       "id                                                                \n",
       "39783  https://cdn.myanimelist.net/images/anime/1775/109514.jpg   \n",
       "38101   https://cdn.myanimelist.net/images/anime/1819/97947.jpg   \n",
       "55658  https://cdn.myanimelist.net/images/anime/1632/136466.jpg   \n",
       "54618  https://cdn.myanimelist.net/images/anime/1535/133770.jpg   \n",
       "55351  https://cdn.myanimelist.net/images/anime/1421/135967.jpg   \n",
       "...                                                         ...   \n",
       "48365  https://cdn.myanimelist.net/images/anime/1682/118273.jpg   \n",
       "10495     https://cdn.myanimelist.net/images/anime/12/75173.jpg   \n",
       "12403      https://cdn.myanimelist.net/images/anime/8/75174.jpg   \n",
       "30902      https://cdn.myanimelist.net/images/anime/2/75992.jpg   \n",
       "23225      https://cdn.myanimelist.net/images/anime/2/73281.jpg   \n",
       "\n",
       "                                      metadatas  \n",
       "id                                               \n",
       "39783                   comedy romance tv manga  \n",
       "38101                   comedy romance tv manga  \n",
       "55658                            music original  \n",
       "54618                         music mixed_media  \n",
       "55351         slice_of_life action special game  \n",
       "...                                         ...  \n",
       "48365               comedy supernatural tv game  \n",
       "10495  girls_love comedy award_winning tv manga  \n",
       "12403                girls_love comedy tv manga  \n",
       "30902           girls_love comedy special manga  \n",
       "23225               girls_love comedy ova manga  \n",
       "\n",
       "[126 rows x 8 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# ---- Dealing with Duplicated Titles: Transformin the Titles ----\n",
    "duplicated_animes_df = animes_df[duplicated_title_indexes].sort_values(by='title', ascending=True)\n",
    "duplicated_animes_df['title'] = duplicated_title_list\n",
    "animes_df.loc[duplicated_title_indexes] = duplicated_animes_df\n",
    "animes_df.loc[duplicated_title_indexes].sort_values(by='title', ascending=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16152b89-da99-4afa-87b6-b33fb357049d",
   "metadata": {},
   "source": [
    "<h1 id='6-creating-search-function' style='color:#7159c1; border-bottom:3px solid #7159c1; letter-spacing:2px; font-family:JetBrains Mono; font-weight: bold; text-align:left; font-size:240%;padding:0'>✨ | Creating Search Function</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d51189ee-f547-4308-b799-f6cd29fdfc9a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# ---- Recommending Animes: Reseting Animes DataFrame Index ----\n",
    "#\n",
    "# - in order to the index follow a sequence from 0 to 'n', being 'n'\n",
    "# the total number of animes.\n",
    "#\n",
    "animes_df.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "aff72d52-9c35-420e-8d5b-784c4f714a5e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5667                                                           steins gate\n",
       "6397                                  steins gate oukoubakko no poriomania\n",
       "6547                              steins gate movie fuka ryouiki no d j vu\n",
       "9642                       steins gate soumei eichi no cognitive computing\n",
       "10512                                                        steins gate 0\n",
       "11193           steins gate kyoukaimenjou no missing link - divide by zero\n",
       "14118    steins gate 0 kesshou takei no valentine - bittersweet intermedio\n",
       "Name: title, dtype: object"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# ---- Recopmmending Animes ----\n",
    "#\n",
    "# - search animes titles that contains a given string in order to use it\n",
    "# in the next cell to get recommendations.\n",
    "#\n",
    "animes_df.title.loc[animes_df.title.str.contains('steins')]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60441920-0a6c-4f48-b32f-52b878e82fcb",
   "metadata": {},
   "source": [
    "<h1 id='7-recommendations' style='color:#7159c1; border-bottom:3px solid #7159c1; letter-spacing:2px; font-family:JetBrains Mono; font-weight: bold; text-align:left; font-size:240%;padding:0'>✨ | Recommendations</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "fba47c56-7e82-41f7-a3d7-75adf1d72930",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\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>title</th>\n",
       "      <th>score</th>\n",
       "      <th>genres</th>\n",
       "      <th>is_hentai</th>\n",
       "      <th>image_url</th>\n",
       "      <th>cosine_similarity</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>30484</th>\n",
       "      <td>steins gate 0</td>\n",
       "      <td>8.53</td>\n",
       "      <td>suspense, sci-fi, drama</td>\n",
       "      <td>0</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/1375/93521.jpg</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32188</th>\n",
       "      <td>steins gate kyoukaimenjou no missing link - divide by zero</td>\n",
       "      <td>8.25</td>\n",
       "      <td>suspense, sci-fi</td>\n",
       "      <td>0</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/7/77324.jpg</td>\n",
       "      <td>0.841148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5682</th>\n",
       "      <td>phantom requiem for the phantom</td>\n",
       "      <td>7.94</td>\n",
       "      <td>suspense, action, drama</td>\n",
       "      <td>0</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/8/22470.jpg</td>\n",
       "      <td>0.833026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38749</th>\n",
       "      <td>blade runner black lotus</td>\n",
       "      <td>6.25</td>\n",
       "      <td>suspense, sci-fi</td>\n",
       "      <td>0</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/1657/120783.jpg</td>\n",
       "      <td>0.822432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54040</th>\n",
       "      <td>tousouchuu great mission</td>\n",
       "      <td>5.72</td>\n",
       "      <td>suspense, sci-fi</td>\n",
       "      <td>0</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/1895/133256.jpg</td>\n",
       "      <td>0.822432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33012</th>\n",
       "      <td>island tv</td>\n",
       "      <td>6.31</td>\n",
       "      <td>sci-fi, drama</td>\n",
       "      <td>0</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/1951/95080.jpg</td>\n",
       "      <td>0.782886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34620</th>\n",
       "      <td>kono yo no hate de koi wo utau shoujo yu-no</td>\n",
       "      <td>6.58</td>\n",
       "      <td>sci-fi, drama</td>\n",
       "      <td>0</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/1009/100450.jpg</td>\n",
       "      <td>0.782886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23281</th>\n",
       "      <td>psycho-pass 2</td>\n",
       "      <td>7.40</td>\n",
       "      <td>suspense, action, sci-fi</td>\n",
       "      <td>0</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/1197/100616.jpg</td>\n",
       "      <td>0.751805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39491</th>\n",
       "      <td>psycho-pass 3</td>\n",
       "      <td>7.45</td>\n",
       "      <td>suspense, action, sci-fi</td>\n",
       "      <td>0</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/1406/104344.jpg</td>\n",
       "      <td>0.751805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46095</th>\n",
       "      <td>vivy fluorite eye s song</td>\n",
       "      <td>8.41</td>\n",
       "      <td>suspense, action, sci-fi</td>\n",
       "      <td>0</td>\n",
       "      <td>https://cdn.myanimelist.net/images/anime/1637/115052.jpg</td>\n",
       "      <td>0.751805</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                            title  score  \\\n",
       "id                                                                         \n",
       "30484                                               steins gate 0   8.53   \n",
       "32188  steins gate kyoukaimenjou no missing link - divide by zero   8.25   \n",
       "5682                              phantom requiem for the phantom   7.94   \n",
       "38749                                    blade runner black lotus   6.25   \n",
       "54040                                    tousouchuu great mission   5.72   \n",
       "33012                                                   island tv   6.31   \n",
       "34620                 kono yo no hate de koi wo utau shoujo yu-no   6.58   \n",
       "23281                                               psycho-pass 2   7.40   \n",
       "39491                                               psycho-pass 3   7.45   \n",
       "46095                                    vivy fluorite eye s song   8.41   \n",
       "\n",
       "                         genres  is_hentai  \\\n",
       "id                                           \n",
       "30484   suspense, sci-fi, drama          0   \n",
       "32188          suspense, sci-fi          0   \n",
       "5682    suspense, action, drama          0   \n",
       "38749          suspense, sci-fi          0   \n",
       "54040          suspense, sci-fi          0   \n",
       "33012             sci-fi, drama          0   \n",
       "34620             sci-fi, drama          0   \n",
       "23281  suspense, action, sci-fi          0   \n",
       "39491  suspense, action, sci-fi          0   \n",
       "46095  suspense, action, sci-fi          0   \n",
       "\n",
       "                                                      image_url  \\\n",
       "id                                                                \n",
       "30484   https://cdn.myanimelist.net/images/anime/1375/93521.jpg   \n",
       "32188      https://cdn.myanimelist.net/images/anime/7/77324.jpg   \n",
       "5682       https://cdn.myanimelist.net/images/anime/8/22470.jpg   \n",
       "38749  https://cdn.myanimelist.net/images/anime/1657/120783.jpg   \n",
       "54040  https://cdn.myanimelist.net/images/anime/1895/133256.jpg   \n",
       "33012   https://cdn.myanimelist.net/images/anime/1951/95080.jpg   \n",
       "34620  https://cdn.myanimelist.net/images/anime/1009/100450.jpg   \n",
       "23281  https://cdn.myanimelist.net/images/anime/1197/100616.jpg   \n",
       "39491  https://cdn.myanimelist.net/images/anime/1406/104344.jpg   \n",
       "46095  https://cdn.myanimelist.net/images/anime/1637/115052.jpg   \n",
       "\n",
       "       cosine_similarity  \n",
       "id                        \n",
       "30484           1.000000  \n",
       "32188           0.841148  \n",
       "5682            0.833026  \n",
       "38749           0.822432  \n",
       "54040           0.822432  \n",
       "33012           0.782886  \n",
       "34620           0.782886  \n",
       "23281           0.751805  \n",
       "39491           0.751805  \n",
       "46095           0.751805  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# ---- Recommending Animes ----\n",
    "animes_indices = pd.Series(animes_df.index, index=animes_df.title)\n",
    "\n",
    "get_recommendations(\n",
    "    dataset=animes_df\n",
    "    , title='steins gate'\n",
    "    , animes_indices=animes_indices\n",
    "    , cosine_similarity=cosine_similarity_metadatas\n",
    "    , number_recommendations=10\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e1dabf99-06be-4889-bcd5-68fda8c0898a",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "<h1 id='reach-me' style='color:#7159c1; border-bottom:3px solid #7159c1; letter-spacing:2px; font-family:JetBrains Mono; font-weight: bold; text-align:left; font-size:240%;padding:0'>📫 | Reach Me</h1>\n",
    "\n",
    "> **Email** - [csfelix08@gmail.com](mailto:csfelix08@gmail.com?)\n",
    "\n",
    "> **Linkedin** - [linkedin.com/in/csfelix/](https://www.linkedin.com/in/csfelix/)\n",
    "\n",
    "> **GitHub:** - [CSFelix](https://github.com/CSFelix)\n",
    "\n",
    "> **Kaggle** - [DSFelix](https://www.kaggle.com/dsfelix)\n",
    "\n",
    "> **Portfolio** - [CSFelix.io](https://csfelix.github.io/)."
   ]
  }
 ],
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