week6/C1M6L2_final_project_V3.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Final Project - Word Cloud"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For this project, you'll create a \"word cloud\" from a text by writing a script.  This script needs to process the text, remove punctuation, ignore case and words that do not contain all alphabets, count the frequencies, and ignore uninteresting or irrelevant words.  A dictionary is the output of the `calculate_frequencies` function.  The `wordcloud` module will then generate the image from your dictionary."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the input text of your script, you will need to provide a file that contains text only.  For the text itself, you can copy and paste the contents of a website you like.  Or you can use a site like [Project Gutenberg](https://www.gutenberg.org/) to find books that are available online.  You could see what word clouds you can get from famous books, like a Shakespeare play or a novel by Jane Austen. Save this as a .txt file somewhere on your computer.\n",
    "<br><br>\n",
    "Now you will need to upload your input file here so that your script will be able to process it.  To do the upload, you will need an uploader widget.  Run the following cell to perform all the installs and imports for your word cloud script and uploader widget.  It may take a minute for all of this to run and there will be a lot of output messages. But, be patient. Once you get the following final line of output, the code is done executing. Then you can continue on with the rest of the instructions for this notebook.\n",
    "<br><br>\n",
    "**Enabling notebook extension fileupload/extension...**\n",
    "<br>\n",
    "**- Validating: <font color =green>OK</font>**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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    },
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      "Installing /opt/conda/lib/python3.6/site-packages/fileupload/static -> fileupload\n",
      "Up to date: /home/jovyan/.local/share/jupyter/nbextensions/fileupload/extension.js\n",
      "Up to date: /home/jovyan/.local/share/jupyter/nbextensions/fileupload/widget.js\n",
      "Up to date: /home/jovyan/.local/share/jupyter/nbextensions/fileupload/fileupload/widget.js\n",
      "- Validating: \u001b[32mOK\u001b[0m\n",
      "\n",
      "    To initialize this nbextension in the browser every time the notebook (or other app) loads:\n",
      "    \n",
      "          jupyter nbextension enable fileupload --user --py\n",
      "    \n",
      "Enabling notebook extension fileupload/extension...\n",
      "      - Validating: \u001b[32mOK\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "# Here are all the installs and imports you will need for your word cloud script and uploader widget\n",
    "\n",
    "!pip install wordcloud\n",
    "!pip install fileupload\n",
    "!pip install ipywidgets\n",
    "!jupyter nbextension install --py --user fileupload\n",
    "!jupyter nbextension enable --py fileupload\n",
    "\n",
    "import wordcloud\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "from IPython.display import display\n",
    "import fileupload\n",
    "import io\n",
    "import sys\n",
    "import re"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Whew! That was a lot. All of the installs and imports for your word cloud script and uploader widget have been completed. \n",
    "<br><br>\n",
    "**IMPORTANT!** If this was your first time running the above cell containing the installs and imports, you will need save this notebook now. Then under the File menu above,  select Close and Halt. When the notebook has completely shut down, reopen it. This is the only way the necessary changes will take affect.\n",
    "<br><br>\n",
    "To upload your text file, run the following cell that contains all the code for a custom uploader widget. Once you run this cell, a \"Browse\" button should appear below it. Click this button and navigate the window to locate your saved text file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d95752bdedc84bd6a691cbbdd5232fc3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "FileUploadWidget(label='Browse', _dom_classes=('widget_item', 'btn-group'))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# This is the uploader widget\n",
    "\n",
    "def _upload():\n",
    "\n",
    "    _upload_widget = fileupload.FileUploadWidget()\n",
    "\n",
    "    def _cb(change):\n",
    "        global file_contents\n",
    "        \n",
    "        decoded = io.StringIO(change['owner'].data.decode('utf-8'))\n",
    "        filename = change['owner'].filename\n",
    "        print('Uploaded `{}` ({:.2f} kB)'.format(\n",
    "            filename, len(decoded.read()) / 2 **10))\n",
    "        file_contents = decoded.getvalue()\n",
    "\n",
    "    _upload_widget.observe(_cb, names='data')\n",
    "    display(_upload_widget)\n",
    "\n",
    "_upload()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The uploader widget saved the contents of your uploaded file into a string object named *file_contents* that your word cloud script can process. This was a lot of preliminary work, but you are now ready to begin your script. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Write a function in the cell below that iterates through the words in *file_contents*, removes punctuation, and counts the frequency of each word.  Oh, and be sure to make it ignore word case, words that do not contain all alphabets and boring words like \"and\" or \"the\".  Then use it in the `generate_from_frequencies` function to generate your very own word cloud!\n",
    "<br><br>\n",
    "**Hint:** Try storing the results of your iteration in a dictionary before passing them into wordcloud via the `generate_from_frequencies` function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_frequencies(file_contents):\n",
    "    # Here is a list of punctuations and uninteresting words you can use to process your text\n",
    "    punctuations = '''!()-[]{};:'\"\\,<>./?@#$%^&*_~'''\n",
    "    uninteresting_words = [\"the\",\"a\", \"to\", \"if\", \"is\", \"it\", \"of\", \"and\", \"or\", \"an\", \"as\", \"i\", \"me\", \"my\", \\\n",
    "    \"we\", \"our\", \"ours\", \"you\", \"your\", \"yours\", \"he\", \"she\", \"him\", \"his\", \"her\", \"hers\", \"its\", \"they\", \"them\", \\\n",
    "    \"their\", \"what\", \"which\", \"who\", \"whom\", \"this\", \"that\", \"am\", \"are\", \"was\", \"were\", \"be\", \"been\", \"being\", \\\n",
    "    \"have\", \"has\", \"had\", \"do\", \"does\", \"did\", \"but\", \"at\", \"by\", \"with\", \"from\", \"here\", \"when\", \"where\", \"how\", \\\n",
    "    \"all\", \"any\", \"both\", \"each\", \"few\", \"more\", \"some\", \"such\", \"no\", \"nor\", \"too\", \"very\", \"can\", \"will\", \"just\"]\n",
    "    \n",
    "    # LEARNER CODE START HERE\n",
    "    words_frequencies = {}\n",
    "    word_list = re.findall(r\"[a-zA-Z]+\", file_contents)\n",
    "    word_list = [word.lower() for word in word_list]\n",
    "    for word in word_list:\n",
    "        \n",
    "        if word not in uninteresting_words:\n",
    "            if word not in words_frequencies:\n",
    "                words_frequencies[word] = 1\n",
    "            else:\n",
    "                words_frequencies[word] += 1\n",
    "    #wordcloud \n",
    "    cloud = wordcloud.WordCloud()\n",
    "    cloud.generate_from_frequencies(words_frequencies)\n",
    "    return cloud.to_array()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you have done everything correctly, your word cloud image should appear after running the cell below.  Fingers crossed!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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1Vxx+k9nTvkNm6nySE6bSZ2lApTSg1SQjk6rYvPMB/H53pB+gX5EPVuhHXw/2HwznOxgvE0YJGNUZmDRZ1McyBx0dEQMWB/ad0d78fjyNnbgONaMuzgRAv3haTCUwHOmler7zyCxM6aOzScpVEk79dja7322jqXzsy0c4uuL45RTmfC1tTMecfn0e87+RwT2nrh/T+c75QRGnXJCOIXl08f/jIhiM8DCLgYHZtYAQnqnKVP2RMUEa1r9Eyfm3U/3Ow1Hd+T0B3vnJdg5/NuC8/eLf1SSXxHHxI0vQJ6uRq6IHuMEMZeqxd7mp29hO0Yp0MmcnfGlKoGy2nOISOS5XEJVKoLbGj8cTZPYpcior/JSWyqg46MPvg29fo+Wpx+0cqh74HfsOdiD6RfQ5pqi+k+ZlRbV5zC5USVpkannYAQuQsjgnSrZnfys+mwddtpH46an0Hoht3x6v/Gh45S1bOKz46tsG+ttd7hk2kOJQ/Qf09NWQmTafOH0WBl0aDlc3ja1bcHsGVg12Zwfb9j5CXuZpJMaXoNem0tlTQUPLBmz28QcJ+Pwudpb/i4yUeaQmzSQpvhSvz47Z2khXT0XYZDRRmDDJYgZVCg5vD8IQrhoA16HmyNjDWDKVjeHXmqnRN/dQCAKkl+i55dl5o1YAg/nuc/PImDK+0MrbXl4wJgUwGG28gjO/VzCy4CDSpxhOrgIAnF2NJE9bRvq8c2N+bu+oJ2PB+Sj0IVuyQh9P9tJLcFtiL3c3/P1ghALop7Pawgd3Dx8P3o/XObSZp2F76LwJeQYM8iRytGUopSEFlaebQ4E+lOSTqy0LHyNVasLXDyG/x1jIL5ThdgexWkR2bPOyZ5eXc76mwm4LMmOmnM4OkbnzFVQeTb4brAAAvFY3betDkxyZZsCko8+Np+jKU6LO5+5yIEglTLlpYYTNvfBbc6JkA24/h57bCcCcX6/CUDBohi9AQlk66SsKh5SP4Kj8eIgV7DeaSLoe82H2Vb7Ihu1/4pMtd/PFnr9zqP59fP5Ip7XHa6Oq7l027fwLyiUvU179CjZ7K4suz+GGZxcAsG7zL9l98GkAzvphCaq0Huqb1of7qGv8lHWbf4nZOrCKFUU/TW1b2bH/cT7deg+bdv6F6paXccoPRuXlfNVMmJVAj+MIMqliWM++t23khAlv64CMPCXa7DAUGdMMXPVQGSp95E9i7/XSfcSJvccLAuhMCnLnRPcrU0r49oNlPHTRVjzO0f+RjakqkvNjx4lbuzz0NruwdXuQK6XoExVkTDVEya36XgFSuYQPHjo86vOebJw9LdR8+ET4fb9TuGX7e+G21h3/JSgO/FZNm9+MeD+Y/W82DHmu+i0d2Lvc6JKGd5oF/ENPIHrqQqYVY5YWQZDgE93EK9IRkOAJOFBIIvuWqbQkTjsVQRBwdjZiaaxEIldizJ2By9yBx9wJCJgKyrC3N+BzmJFrjQiCgCCT4zF3YrMGKSiSUVXhw+kIXVtVhR+DQWD3Ti9FxTICgVCeRWKShPxCGXU1kYrg4CObiJ+RyqrXr8Zc3YlMq8BYnETLpzVkriqO+V3zLppJ6ql52JvMqOK1tK6vIXl+NqrEyPuwds1etBlx5F44ndOe/iZdO5pQxqtRp+qR65Q0rz1E66c1Q8hfhqfXFSE/OBHty2bG6jR8rgDth2wExSDBYBClVoa104PH4adoSSKVnw1MQLa+dITS05LD75MLdMRnaZAcXd0a09RkTo/jyJ4+bN0e4lJUCBIBmUpCd30o5DcxV0vGVAP73m9DY5Sz6PIcBIlAc7mFqs87o/roz88xZag5tLELXYKSzBlxdNTaw32eDCaMEojXZNFk3jusjOgcOaxusIwgHd48MJjvv7ow/Npp9vH0rXto2D10lqpSK+Pqv8+iaOHATDAxR8Nd7y7hj2duRAjKCIg+lDIdHr89Zh/n/aiY5dfkRrTZerw8d/teGvYMfW5BgCVXZHP+z0rDFpcVN+ax7OocHvz6Froaho9wefLGoWfOq79fyMqb8iPafrvsc2zdYw9pHGpAH+rzWPIBn4hULsHjGN7v0VFlRpeUOuZr7Kf3aKipPlmNxduBhY6Ycg2OfQD43Q78Lhs+uxlLY0X4+s0N5aTPP4/ewztxmztQGlNIO2U1la/9GX1GKLhBZUyh9/BONq7v4Ei9n7o6fzih7r3/DMxUy/cNfOe//DF2tI+7x8nHFz8X1S5IhJhKYEwDcRD2P/A5+x8YpSN7DPLmqs6oaznzjlJ2vdkUbs+YFoelw42928PiK/PY/0Er9qP3YeZMI9llJrY8P3JORmKuluZyMxf8ahrP3LyTORdm4PeKpJUa2PtuKx2HbRze3M01T8yjfmdv1PGLLs/B2unm4LoOCheGVkQX3j2N3mYny67L58MHqjBmhKwHSfk69r7TQmetndNvKsDa5WHf+204zT7sPV4s7W6qPu9k0RU5lCxNiuhj5feK+Nd3ttF+KPS3LliUwO63WzjrhyXsfaeFjprY48jxMmHMQX7RS0HikmFlJJqRw6Mk2gEzx3icKB6Hnyeu2zmsAuiXe/HOfdh6IiODjGkqcsrikEkUGFQpZCfEThhJztey9KpIc5Xb7ufJG3YNqwAgZG7f9EIjb91bGdEuU0r4xt1TYx6TZBgIkyxOXYFEGL2C/Crx2Ebn9NbGxzZvKbSjm+f0rxIkMRzjQ3KM3yM4yO+BIJBQPI/2XR/hdVrCEUphGUHA4wly+NCAAoh5/RnpJH77mygy0lFkZqBfugR5chL6UxejzM1BVViAbuH86AP/j2b8pU0xoNLJmHdpNroEJad+Jx+NUREhM/eiLPRJKtKnRTvEY9Hd4GDK6cm8dfcBAER/EIlUQGdSjHBkCK87EIrQA+RHA0X2fdDGO7+r4B/f3ELdjpDi8HuPjjeCQDAIr/1sP3vfHTBhBsUgwtER1+sMRPURPj4WJ/HvOWGUgBj04/AOb+5RpI8ceTBYxtc59nozH/29lpbK0cVYO/p8bH6hMao9Z5YRmVRFQfJSWs2x09dX3pwfUakT4L9/OURr1ejju7e+0kT5x5Ez1sIF8RQsiIylVyuMxKnTSTIUkWwoxqAZn//hq8DSGloG99cQioXKoCCpODQgJBVGmsuMmQNRMlLZ0Ld7/0M+nN/gWBxdjSRNX0b6/Nh+D4+1h4wFX0MiG91gEwtvSyve5ha8La1o58wi6HYjUakIWCyoCvKQmYx4amMnXP2fQ4CDa9tQx8mJz9RQvaGTpn19JOZEmqkScnVUftJO457RRe9IZQJZM42cdlMBSq2MI3v6mHtRVnj2Hpeq4sw7iknK06JPUmLKVIffn/n9YirWdVB2bhrn/KiU+EwNAKXLkjj/l1O56HczkCmi7ytTppoL75nOnPMHMp+bD1hY/O1czvpBCfs/aBuxjy+LCWMO6rAdIl6TRbZpDk19e2L6BtTFmQhSybAzfHVpdvj1YCfxaOhpcrL5xbEds+e/baz+fmFEW9aMOA5rDHTaDmHUZODwRCo3rUlO2epI00VnnYPtb7QwVt5/4DAzVqVEtC2/OofabQPLWn/AQ5AgKrmBYDDIobZPjts5FVdYhqloNvrsUtq++C9ShYrkOSuwNlRy5KPnUBqTSJl3JrqMAmRqHe3bP6Jz1ycAqJMyKb7sh+x75Ifh/tSJ6RR/866INoDW8j7Spsdz2h3Tee17m6PS7QEW31iK9Gh9lYsfWcIb398aLjg394qBv402ceiVpDErNNC4zKPP+XB1t1D7QbTfo3WQ38PeXhcO9es9tCNCbqx4W1qRqNUoC/IQna7wbyF6jj/7eKLQHyFZt62H5TcUok9U8tGDVSy+Kg+JVGD7miPUbevmjNtLSMzRsn3NyNUBlt9QwJof72PR5TnknmKiekMX/752e8S9tPahQ6x96NCQ75+5aSdSuYTA0RIOL9+5F7lKit8rEhSD7H479Ozuf38gI/rd3x0M35cArZVWnrk55DwP+MSoPp6+cUfEdff3+dGD1aP67cbLhFECyfqQuaLHcQSV3IDLNxBuGQyICFIJUoMG3fzSIbOBldnJ4fBQANu2yphyQ7H73bZR187vp7fZhaPXizZ+YLanT1TQat4ZKhAVg7LVqVHx+Ntebx7zuQG6G6Pt/yVLEyPe+wIuGrt34Au4omSPB0PuVNq3fUjawnPpq95J3TuPU/CNW+GjUNy/z2HhyNoX8DuslHz7p7i6W7EdqcTV1YyzPfLhNU2Zj7s3Oqyw8sMmTvlWAXmLU/jmE0vZ9FgFLft6Ef0ipmwdC75THFESwpCm4Zo1K2mv7EOulpGQNxCxlT0vKar/fnLmh5yAoylDMZiR/B6jLTew+p+rSShNQCKTYGmwcPClg9S+H4r8sa7fCIBj1x6QSEIRcoIwhlIG46d0mpzMbBnrPjix904s1v41lGvT1+Kir8VF7Rfd4WfilTsHCjQe3tRF7dbuUT8v9Tt6OeuHJSjUUna9FQr/jTWZGInAMTV8fO7h//YBf5CAP1JmrH18GUwYJaCSGfCLHpze3qhVQM11D5D34M3I4vVk/OhSvG291N3694iHQFWQTu79NwIhpdH4q6dxVQ1dSuBYvK4AHz8anVNw6ko1LkeQXV+Esgy/9xMjj94XaWZqO2yncJAJxpSuRi7VYNJkEiRIpzUyt+HsOyLLGHQ3OtnwzMCgmH7pQlpf/QJdcRryBB3qzHhczT0E7B6s5SN/p2PNTBDKVlxYeC1f1DzF9KyvcbDpveMu2e1zWOmt2Eba4vPo2PExPocFr7kbANHnRfR5ST/1AhT6UBy7Ni0P25GQYq556xESpi2k5+AXGPKmkTjzVCqf+W3UOVr29vDPsz/g5g/OJnteEpfPi5245vcEWHPTJuJzdZz1qzmkTh2Inf/g7l1MOTuL3IXJ3Ln9Qj5/+AA7XwhFtaRONbH67jmklIbMTZ89cGLrsoyGFX9eQeqcgZVhfHE8S+9ZGlYCEfSHSI+gAIIBMaYT+LHnE8nOkxHwwwtP2Xn1OTvvb07l5WccfONbWgxxAm+94uT1F+386o8myk5R4PPCrT+O4xtntCMGICtXxs/vNYb7Of+0kPK++kY9Wr1AVo6MeYuUXHRmB5a+6FW7VhLHEvVAldPOQBN73Z9Ff9VhBvmxTJjqd/bGdPhOEmLCKAGzq5lUw9SYA1PA6qD5T6+Q9asrkOo1KNLiKXrmR/ja+wgGROTJccjij9qCRZGOx98bkwIAaD9sj/lcTS1T4vUEUWsFJJLQ+6jr80UeKEgEAqIvZlSQKV0dFYbaURsZ/uUzO0haNR2ZXo3f7iYoipi31VJ8z0UxlYDH4Uc5ggPUqM3E4go5qQKiD4lENqraKsMy6Ac7tohe9hnfQhWfStOna3B1NVN40e2RhwYCJExbTM/BL4gvnYe9sRqfI3YSjaXVSXetlcSC6PBYAHu3m7fu2EpreS/Ne7pp3tND2UV5mDK12Hvc7H+7AbfVS+7CZGRKKSt/VMbiG6YgkQsotQPx9bUb2qJWAsXXL6Tm2R2IvsgZW+bqKTR/OLaV5lAkTkuM2a7QK/DaTlxJEokE/v5nKxXlXgxxEtZ8kEJluZf0TBkqlcDXV7STmCzlP5+l8Mj9Fr53dTf3PhBPTbWPZ5+whfv4y2MJ/ObHfeF+ZsxWUL4ndJ2XflvHTVd0cd895pgKAMAddHDAswm5oKJEETtw4nhQCVp8QQ8Bxl7+Y6KgKkhHnhSH6fwleFu6aX/07ZN2rgmjBCSCjEOd0bOBftw1LRz52b9Ju+1C1CVZSPUapHpNhIyvy0z74//FsXvs8fI9TbGXu0ExiDFeQnKajKAY5OHfj84ZFRC9mJ3RNv7EHE1UW+cxoV9da8sHlvtH/1dnJWDeETv7ubPOQdaMyEiJY60FFmcbmfGzSTfNRCHVHL8CGAF9zhTatryHoy0UwqeIi3bqq5LS0ablYcidSuO6l4bt76mL11F6ZiZFK9JJKYlDbVTSXWvl8Get7HuzPqLeT2+DLWpGf+jTVuq3dJC3OOQ/URujnbUf/2lfVFvhlfOofXEXHKMEim9YeMKUgEIX23Gs0J1YJZCeKeOhJyP/Djl5oSHg5WdC92B3Z4DGhqFNFOmZMopK5RH9PHyfJay1UERwAAAgAElEQVQEtm/xUF0x/L0VCPpp9Yec2SdDCSzRXEC5eyOdgbFNBGOh1su46sGZpBRq0ZkU+D0ili4Pr/66gvoRIggzSvXc+eZC3v9bDeseDz0HhfNNzLsgnbLVKQiCgL3XS9MBK7v/28b+jwfyFBRpCfjNdjr++Q6G02YhUSoQPSe2Rlk/E0YJ6JSJeANOnN6hB1lvaw9HfvZvdHOLSbl2NVKjDgSBgMWBu76N1gffIOgbn/b3DFE07NVnbajUEjpax9avSm5gavpqAHYfGdhRyZAUvZKwxypAd0wtEdHjo+O92HkU9p7o4zUmRURhO7fPQpetBgGBA81DVzc8UXitPeizS7DU7kOiUCFIoqMfrPUHyVj6dUS/D0vdgWH7C4pBnM1mOrd42fYPK0qtFL83SMAvsuj8ZBor7AT8In5vEKlcoGC2gaZKO7W7B1YX/7lrGxc+uJDchclR/fcesWNpGX1CjsIwvlLHsfDavcjU0Y+ix3JiHb6CAKsXt3GsG+N3f43HbhtcKn1oU4sghDJ2Y/UD4HB89WXVpSdoWFtwUQbn/6gItWFgtShTSFDpZdz2wjwOfNrFK784OGLtrpQCLVKZwMX3TGHBNyL3STClqzClq5h5ZjI/X/AZbltonHHXtZJ83Tk03/s8Eo2SoP/k+Q4mjBJwevswqjOGVQL92HceGraG0HgYSglY+kT8PsgvlodDdWurR55Fq+Vx9NjrEQQJgiAJm0uONQUBo8ow9nQOXW/E7Yg+XmOQRSgBtSKOxu4dUXIni6Z1r5B5+sVMueqX+F12eg9G14Tq3r+JggtvoefA1sgY+yEIikE0BhluZ4CuJjdiIEjuDD3mTg9Fcw2se6YFMRDk63fm0XrYQc50fYQS8Dh8rLl5I0WnpbPgmmIIgrXDRd2mdqo+iqwXJFXJSTxafydlcR4B76DaR1IJ9sZoG7N2wSx8Hd14G0J9yRKMBP0BAhYbEp0G/crFCIKA+T/rIpZpXQe6yDk9usSJz3liV2stTX6uuUXPvx8NmXaKp8hpqB3+d7fZRNKzBnJKWpr8NNb7uebmgX4UCgGv98vZEvbL4uzbC1h1cyhpUgwEaa6wYukMZe6nFemIS1EyfUUSt780j39cswtr59AKO7VAx9d/XhpWAC6rj8Pb+tAnKMieYQhHEH3rD9N4+rbQatTb2kPrg68B0PvmpjFtljVWJowS6HWOLTTzRDNUokZOvpyf/jGeg3sGBtRH/jSyorK4WpHL1Kjlxgh7eax44LHEpscilgKTKyOTwUQxwJzcy+iyHabNfBB/4PhmmZaafVhqQjfs4LDOqhf/BICzs5FDax4ctg/RF7qGvqrRKSeJTMDe56NoXhw7/9tFar6GglMMOC2hDe3FQJDUfA3NVQ40Bhl1e2IoziAc/qw1Zh2iiHPJJaQtD4WXzvr1WVF9bL3t9Uh5jZqAxYYswYi3oRlZognjRauRqFV0P/4yEoUCiVqFaItebRx4/kCUEhBPQrVIUYQZsxV8uDUNmRwaav3cdk33sMe89ryd+x5N4MOtaaxe1IYowh3X93DXr+PC/XxtWTucHEsFADJBzgLVOaglOsRgAIvYTb3vAL2BgWiyRGkG2fJS9JJQgMYsVWSV4I8dz486EGLmmclhBQBwz/INUav1X32yFFOaiuQ8LVc/OJNHr945pLM6Y4qejCl6vO4Ab/+hmu1vtYZl9QkKvvXH6ZSemsCMlclkz4ijsdyC1KAlYAtF/knU488zGQ0TRgmcSAoNCwiIPurtY9v3Nxaz5ivxe4M01PrwekY/29EqE3B5Lbi8kZVFY4WEjeTUHQl1jNWFzxN5Hr/oJoiISh6HXKpGJlFSmr6KvUdGv5tW+oLzaNvxAfHFc3F0HkEqV+LoCEU1xeVOR6GPR59ZTOP6V4gvnotMraP1i/ei+pHIFcjUegq+/j2OrH0BR3vDqM7fsN9Gw/4Bx217nZP2usgQ2Vht48Fn87D3d2tRp+rZftc7Q25+0o/odBGwOTB+4yycuw6gKi3AVX4Ix5ZQiQ7R5cbX1kXAYouK7Ok60MUz858Z1XXJ4uORJ8RjOO00up5/AdHtjilnSC0EBKztNSg0BlT6JJIK53P3r3ahjkvG2deGtaMGhSaOxbMGrie1dBlXX7KHhLxTQluoJuRx+QUfkjHzTNKmmnFZ2unsbuXXvzCRVDif2s0vkbfoMjqqNvHsEy0oNHHkLbqM+q1rwn3ok/No3vchmWWr6W3ch7W9lpg1vWMwR7WSRGlGxCBukCQwX70aAYGPHS8A0B1ooTsQ8sGdqb2Kve7PxuUTmHNuKt++fwYAfo/IPadtiGnuuXflRlbekMu5Pygib46Rn72/hN+ftWnIfis+7+bJW6LzQ2w9Xp64cTcX3z2FxZdlcuYteTz53b0ErA40M/LRzimi67mx77U8FiaMEsjTzUEjiyMQ9CMT5CSpctnXtxabrwufODBrXZx8GdWWLfiDXqbGnYZSqkZAQrurhnr7bqYbV2BUpCESIFM7lU0dLx5XKGQgAB+9ExpUFMrRp24HgyIJutBswuYeyOqNdUMpNMdXwiHW8ceeR6OIZ9+RNyOSxDosY90DIUjSjGWoTMn0HtqJJmkgJ0NpSAintvtdduQaw5CDuzoxg/zzb6Rz1yeYDx2/oj6ZbL11dEpSlhiPbskcfO2h/XId2/eReN2lqErz6X3uLYJ+P976JkyXnotr7/h3vdNMm4o8KRmpVosiMwN3TexgAW1CFm0HPwu/VmpNSBVqrJ21qONS0CXlYO2oweu0hMpaHHt8fCZeRx8eey8SqQyf246l7RDquOSI/gD8bjvOvtAA7HVa8LvtMfuwtB/C2j70fg/HopPEkSjNwClaI55hq9hDi6+GLHnJqPsaLSWLBxzelZu6h7X373q3nXN/EAr3TshSk5yvpbMutl9pz3+HL63dX+9LEycn6eqjK89gEJlRS9JVZ9L17Edj+RpjYsIoAQCFRE2iKpu9vR9i9raTrimh2tIVUzZPN4cWZwWNjnIkghSVVIc7YGdnzzvMMJ2B3dd7QlYCOze7cTpFrObQ8lyjlaDWCLicwysWX8CFTBK9Y5OlI9oME8tZPBb0idHHO82RN6/NHV2iuc18cMzn6tr/+VHHYTC8CgDo3P85gkRC5771CBIJQTGA5Ujs/h1t9ZQ//rMxn3si4+/uxfyfdQSPRnAEvT66HnsxIkzL29hK50NPHdd5gh4vPW++OaKcuaWS1Cmn0VG9EaUunv4KMRpjGhA82hYiuWghnYe/QG1MRZeUC4KEvqZy4tKKCfg9+FyRYbOD+wMQJNJwH/3vgeg+xpjcFi8NlTfpFaOL+dnF8W34MhJZMwbCkJvKh6/7b253Y+vxok8ImWtyy+KGVAJNFcP31W8hkCkkWNaNrjT6iWJCKQG7vxd9IBGrrwu9PBGZMLQtrNl5kGnG0zEokmlxVNLnHf8mEMNROEXOVbfE4XSI/OGnPVx7axz+APzl18Mnn3j8Dlot0REvnTFKwqYURO8CNRZilaLuf9608ZmklJxKW+V6dAnZuCydyJVa+loOYsqYhkJrxNnXiq1r5GqMliMVUfkAEec8msikzyyhp2r7yNm0Y0GA/CWpFJ6WRvr0eDQJSjTGsSvPv8x7a0zyeZfOxlzZQV955P2VfcEMGv8TWRcqGCuE75iB73ijPOx79pDwjW8gKOT0vP4GQX9sf5LL3I7b0kkwKNJeuQFBkNBeuT78mRgYmCR01e4It9dsHKhIau9qCM3Ag0Fayz8GCM/4B/fXuOud8MDf/x7A1lkX0Udf0/ARYMeiEkL3daasiExZ0QjSJwZ9wsA9Zeka2W9m7fSElYA+cejxyjqKvvrxtnQjSKWhydYYtgkdLxNKCfSbKvoHGgEhypTTrxi63Y1s7HiBZFUexXGLcAfs7Os98UsmlVrgsfvNtLf4OX21Bq1eQkfryA+yVplAvDbk7GvqHViROHq9WDo8xKUM3GwphbH3Exgtx26BORhnXyvOvlZc5naCAT9uWzeppcsAUOoT8HscaBMyR6UEHO0jywBYG09M/Pxgrn3tDJKKRlc18kSSe3EZlX/fGNWe/605UUrgyyDo89H73nsEfb6Rs4aDYszXgxUADF36YliFf8xn4+ljZELmRZvYi+0kzfyPRTnItDqaPby9roHvrdJFr/zDcmPYYwRAO6cQiVqFdUN07sqJZkIpgVj4RS+npV6DGAzQ42nC7g/dDNOMp5OizkcMiviDXhrtAw9knW0Xs+JXk6MrY33708d1/nXvOUnLlCFXCKx52sYbz9uZccrIM1B/wINaHnvQeuePVVz50MAOVaZ0NaffkMdn/xrdIDsSkduUirRXhwYxty0UCdJetQEEgfaqDRHhqxCqd3Iskq+w6rQgEbj+7TOJz4leLXnsJzfhDUKbsPts0c5XhWHksuYnAtPSFfRt/BTT0hVI1Ro8HW3Y9u3CuHgZ5i0bMC1ZTt/mz9GXnYK76Qi+3m4SzzwvLPd/mVZ/DbnyqUiRccCzeUzHjrdUemeDk/SS0L2WFCOx81iScgdkuhpO3MYvvk4z6T+8BMPymQA03/v8Cev7WCaMEui339faQkvTbvcRut0hm3OsgbzH08RBc+wMY4e/j82dL5+wa2trHlhyG+Ml7NkWOyJjMB6/ncbenTFLR1Ss78Jl9UUkoSy4OIMNTzfEHISHY/BN2E9/ffMwsWaM/ZtYHzNTc1ujB1ZNnDymL2OsJK6aiej10/v56B2jpasyIhRA1dpm9qypo+1A75dSfKtnTwuFV83DXN1J4Oi+vFKljN59J8f8eCyCTI5hznwCDjt+ixmJKlL5+G029LPmQjCI6A39jTztrVFy40EilZBclkz6gnTii+NJnpmMTC1D9It4rB68Vi/OTiflz5XTdaCLgPfE/j3sopnOQBPJ0iwkSBEZ6F+ChERpxpARQInSTNr9DWM+55F95rASyJ4Ru0xJP6Z0FbpBhSMbR/AhjAXPkQ7qv//ICetvOCaMEhiOpY9cyMZbT17tjLFwydV6Hrt/5H0KVHI9aXHTAGjo3hZh1vJ7Rba83BSxg1dClobFl2ez8bmRS+MO5pw7o3eP2vzi+NPlHeZoJZBWoqft0Nh3NdLkp+Cs60A/PYuAIzRASdVyTIuLcTX2IJFLcbf0Inr9yE1aBLkMb2dkpErh8oG9Dz7+0152vxyKhlGnZCFRu5EolMTPWkrPrvUE3E589tDxiXNPp3vn0GVIRkv1k1tZ9MhFnP7K1ViqOgiKEFeazPY7R3c/LvvtMvJX548sGINn5j9D72cfRdYAOZp5bd6yAQDb/t1RNUJs+3eH5Y7lsg8vQx0fme0cKzy17PoySr5egiYpepIhkUmQqWRok7WYCk1kLM7Aa/NSuaaSijUVI2Y6p8hykKNEJoQmQTohjnz5DPz48Ae94ZISAAc9W1CpzmCZ5iJsYi/+oA+loEEniUMmKFjriN5VzR/0ki7LRyeJwyFakAoy9rrXD3tN4fOt72bRpaGot5IlCWhNchx9sVecp5w3cG+a29101J7Ynb8kKgXKvNRQHbSTWDF2wmwq049cpyBtWT6JczIQpKHLC3ginV/ajDgUcaGZTlxRqPhWQlkahoIE1Mk61Ck60pblo8se/R7DQzF7gYrH1qTw8HPJPPxcMqu/Pjr7vUKqQQyKSKXK8K5Sg9nwzJGo8LPV3y8ke+bo7d6Lv5XF9JWRJRBaq20cWBd7a8TREGtTm1nnjG/bxpQL5qLKTCD3jnNIOje0mblp6RQCTi+5t61GlZ1I/PLQTmhply5Cqoq2qaZOD0WxNO/tCSsAAIJBAj4P7q5W3F0tuLvbwgpgNCxbHLp/lIrhw34djX1suvZljvynPFx+uPmDSmx1I+93fcIYPADEchTGGiDG4FAcvOk8QNayLGbfODumAhgKhV5B2fVlXPLOJRScUzCs7EzlMqYqF1KsOAUAjcRAoWI2pYr5TFeeGiHrC3rY7voQV9BGnCSJJFkmSokGs9jFQc/WmP3vcH9EV6AZpaAhVZaLURJdJmQoKj/vChd0lCkkXPiz2GGopnQVK67LDb///LnGEzpOS/Ua0n5wMZrp+aR+9/wT13EMJpwSWPCHsxEkApo0fcybO64wkSnXz2fOz1cgU8spuHgmumwjs396Onlfn07S3Exm/fg0/A4vs34Uu+zwWFCqBP7+hz5uv6qT26/q5KO3R2f3s7o7UCsM9NjrY9ZicVp8vPvnyM0iFGop1/1zDvnzTFHygxEEWHx5Fhf+ojSiPSgGefOeiuO6GWPtYzpleRLTzxj9g9SP6Augm5pB38YqPK0hE1Xv+gqsexuwV7fSt7ka46IiBKkEZZoRV2N09qr2aLRG9drIsg5IJGgzCgiKIjKtAWV8Msr4ZNTJmSgTUlElpqFKygi9Toqs15KSLOV3vwj9xn+7L2GoSXMYd7eDw09tY+fP3mPnz96l+oktY/4tJjKG7AGzR9m1Zay8f+W4+5KpZSy9Z2mUYgG46CoDM+eq+NjxPIlX/Ie1jufQX/Q27VNepTL5ZQyXvE1jwRp+8Zck8ksUzF6g4rxL9UydIyP5gk20Fr6JsPI/xF+4Fv/0zXgTQyuGrDw5F3/HQOnM0L1iE/vY4/6Uz52v8bHjBdY7X426lqEIBuG1eyrDGb2nnJcWjv4ZzK3PzQuXgGk7ZGfLK8dfrG4wmmm5mN/fRs9r6xFdXgT5yTPaTDhzUO+BdlrXx06AAUick0HTR9WYpiQTV5SItb6Xostns+2nH6AwqdGmG2j6oJquXc0kz8867uvZudnNqq9pmD1fhSAQzhcYiZyE+Tg8vWTHn0KfI3ZJjJ1vtbLvg3b+sPuMcJvGKOeWZ+cBYOv20NPowtbjQSqToE9SkDU99kph93ttvPKTcoJB0CZl4/c48Vi70SRm4XOY8blsZC44n776fTg6j5Ax91y6D23DY40ceIPBgc3dB3P1w7Pwe0WaD1qxdXnw+4LIFALxmRr0CQp0CQokUoE1vzjAzrdC9vLe9QdJuWAeNX94E4lKQfyppYiDavAE/QGaHl9H2fO3Un7D4zG/l9fhR6mT09cYqZxc7Y242kO/a8fG6Kzk5g+HrkqqkAv09olccYkOrVoYdtIsSATyLz+FnAtmoErW8enFT+PuspO6vID2z4e+T/vpruhGk6RBaVSiMqpQximRDLPNZSxkcg0yuQq3c+iw5JmLb2b/ln+G36fnLaa1fnTKquj8Itq2t7Hqb6tirlohVMfIXGtGqpSiNCrRJmmHlAW4astVfPTdj2jfPZAkJYrg8wXJK1ZQUKqgaKoi3JZbKEcmE5AI0NsVIOAPkpwuY+tnTnq6AmTmysnOl2OKl7DmKSuXXWvA0hegZLqU5DRZ+NgTQd2uPu6asY5ppydxyd1T+M3G2JPJmm29vPjTAyfEX3Ysti8qUOamYjpvEd1rPht3YczRMOGUgCpJx+yfnAYSgfKHNqEwqtHlmJh64wJqX91P4/tVzPrRcvxuHz3lbSARiJ+egq2xD1mnHW368M6csbJwuYrUDBmbPx3bzkpmZzMWVysquT4qAmcwPrdI1cZuSpdG15TXJypjJoIdy443W3j97tAKILFkAX63A7/HSVLpIrwOM/H5s2jf9ykyhTqiUJsmIQO/207AG+nofut3VVz8m+gN62UKCbmzR29isx1ownYgNEMSXV66Px4o79z8VMheHxSDWHbUhn0GUX10utCnqNElnbiqnU0tfj761IVUAjfeMXztnLzLZpN7cRmN7xyg6OqBDd0LrpgbpQSUaRnHHk7FKxVUvBLpCNdn6sMKQRmnJHNxJnln5kUdCyBXaEjLXYIgCNjMTfR2VKFUx6E3ZmHtbcDrCZnvRDFykBitAgDIXZkbMuEcM4h2V3RTv7aexg2N2JojzYQqk4q0eWlM+9a0mPshCBKBhT9ZyNuXDfhO/vOyNVx59N4fhpJAa6u94TaJFMQAVJV7EEU4UjtgLl37tj1CWa95asAJW33AGz72RHLwsy4Ob+3lOw+XkV6sQ2uS43OLWLs8vHFvFYe3nbyNapQ5KRjPnIt1UzmchDpSg5lwSmD37z9BqpAS8AUgCH6Xj7UXR4ZH7bh7oJZGz95WevaGZp5+l4/G9wdKIRx8LLbNcCxUlXu56U4juYXy8BLxN3eObA+2uFopTl1Br71hxFjpp7+7hzNuzo+5+fxIeBx+Xv3lQGauKi6J5uptKA2JKPQJdFVtRSKVo4xLwue24+w5useBAH31+1HoTFFKYNtrzWhNclbfXhhzWX+iiF8+lfhTS2h68tMhZeq3dJA+I56cBUnse/PEhNAmJkh57OggMm2KgoOVQ1c/yzpvGuV//oTOLQ0RSkCbFa0MdbPmoC0uxVl7GIlCgTw+gZYnH4uSszXbIgZVqVw6pBKQSBXI5Cp8XjsBf+g686acQ3vjdopmXUL17pfw+0aOVhsOXVp0+O2m32yi5v2aIUv8uPvc1K+tp35tPVdtuSrm6saYZyRjYQYtX4TuuViD9OC2/texVmYjuTjGqgDkWgVfW3sdAJ/f8jY9+9uiZKRKGSte/CZPXPRCRHvBRdMj9vAeipYqGz+c+vGormfLmma2rBkweXqOdNDx5Ptk/PibqArSqb3hL6PqZzxMOJ8AEAo1myCVaVMzZLz8pJXf3NnNb+7sGZUC6OdQ+6d02+tGlBMDQdY+WssDF2xh34fto9o6z+sKsPnFRv58bmT8tLW1hvRTzgbA1naY1LKV6NIKcPW0IEikJJYuHCQ99Hk+faKex6/dRVP56J2tY6X38wpqfv8Wno6hz1HxfhNBMUjxigxM2ceXWd1PclIohvzsVRruunV4R7w6RY+jMToaTCKLjkN3N9TR/cG7dL/3Np1vvoqnNXpTobHicZlx2btwWNux9IQKr8nkKhLSpiNXaNEaolcfx4ujw0HNf4dWAMey4VcbhvxsymVTTtBVxUZlSCKlaDG6xBwyZpxJcuEidIk5JBcsQBufhSkjtKLVxmeSv/Ay1MZQkIPP4eXDYwb3KE7e/GdE1FNyyPvbrXQ9v5baGx84qeeacCuB40GRmYEyLxdvSwui3YGquAhfeweyxAR8HR0E/QEMy5bg7+3jt9db8ba346lrGLZPu1Vk7mIVC5cPmCN+/f1IE8KTN56YpJzOOgcv/HA/+kQlM1Yls/jyLOJSVCjUUsRAELfdz4F1ndRu76VyfVfMfQiszVXYWg8RFEU81m5srYfD5Ryatw2k97fs+C8AXvvQM5ra7b08fNk2smfGUbo0kTnnp6OJk6HUyvC5A7isfroaHLQfttNaZaO10jZkmNyjfzXxyON2zj9HTUdngMpqH9OnKvj3s3YuulCDXidQWe2juFCO0xXkjbdDBbV6G2xsf+4wC75TzAX3L+CVGzfithxf3eKKKi9vPpdCdY2P626LXZuqH2ezhbjSZBzNkYrAWhN9nK+nm4SzzkWQy5EolChSxhdVdSxBggjCwIjU2bKPzuaTkwjmsXr48JYPx3RMwycN1L5fGzMqKPWUVCRSyUkpjQ0glavwuizok/IQAz46a7aSVrqctqrPSZt6OsGjZjJnXytOcyhzvp+RNpsPuP0jK4qThKvyCC1/fIn4C5cg0apovX/NSTuXMNwuQl8WgiCckIvQnjIbiVqNt7EJZUEeotMFooir+hABa2j5bTr/XAJWK9b1GzGcthTr+uiSACcTQaEg6D2xxdeNZ52B+aN1J7TP8aApmYIyIwNBFhlN0bv2fe7+eRwvvergjNNVPPYvO7fcoGPGNAWP/9vG4oXKcJtKJfDBWjdVx2zcc+EDCyk5Y2DW67Z42fVyLY5uNx6nn+AoNx4Xa6KrOVbXDJ95nDQ/m8Kr56PPT0CqkmOr7WbT9a+MeC6pVodu+WwkBi2emiZce6pibg5SfEExi3+xOKp9cPx+v/LuL88gkcpDfoAxPr+x8gT66T3cy7tXvktQDFKYcyYOZydyuRqP147bYyYpfkq4TSpVUt+0nuz0xTS2hvwP5z51LknTk6L6/eK+L6h6Y6wVawf42/oyvn9adPmEcPvgPIljtmUdsg1QJ+s4+60rY5qDvvbhtch1ofDuN5dEmvQKLppO7RuhOkgyjZwlD5yH6Auw9ccf4Hf7yFpVRMnVc9BlxuFst/Px5S+HFU7+VBUXXpvAx6+ZSctW0FjroavVx8Iz9FTtcTJljoa6CjdJ6XLUOglHqj3kTVFhSpSx/VMb2UVKPnlzYEISDAaPe70yIVcCMomS0/JvQSYJOUU/PHRf1OdnFN4BwLamF+lzhWxpjl17QkkyooinsSl6o12g7933w21ftgIAUJcW49w/tkJa/xcwnb6S+FVn42kPPUzy+AQEqQTr9lBlyXv/ZEEU4fDRENTH/jWwYthX7gu3zZwuZ/UqVVgJXPiXhSTk66M2mVfFKVhy89hNDfeVhUpDS6VEzK6Ho2t7I13bQ5FIgkQYcQbZj3HJMsxbNqJdXIaqKAdlfib2DTvxtY89xyBLPY1UdSHbu0MVRMWAj9K4U6myhGrYSwUZcxMvoMfTTJvzEA7/2GvtVL9RHf5udmc7MqkKs7URu7ODsilX0Na5J9xmNETvhNa5vzOmEtCmHl9trBGJrJMyurYReHf1U8hUcs7/5PohZeRaBYsfOBefzcO2X3xEwBsgZUEWs3+8nD33f05fZSe6bCPF355N9XOhigh1FW5qK9wkpsk5sN1B65HQhFCmEFh2bhwNhzwUzVSj1kp45ZEuLr45kdf/2c3FNyciBoPo4k58DZcJqQT8ood1NQ+hlhtYnndLzM8/r38s5mcRHqRhyiV8JYxy0BkrE2E1p5+3iM431mDbFSr7IchkJF96Ob7e0IA32twlrw8e+eeA07Rk1Ym3eWekyfjvqym0tgXQagSWnxftFByK4RRA+jU3RrxXJKfgl9mwb9xNwOZAkEF0oGgAACAASURBVEpQTS8clxJodOwnWTXgPE5UZdPpHnCUp6qL8IteLN4OnIGQjyVFXYDZ24YnMPImO2JA5MinA9nq7V37I6La9hx8FiDcZrWH/B39qwCAvsOxFY9CH1oZypUS1FoJ//hiDvffUM2+zy2YUhQoVBKuuSeH1FwVAX+QO1ftj9nPl01wmJtWrlWw5K/n4eqws+M36xD9IdnSa+ZS+0Y5TWsPA2BvsjD7rmVhJTAYlzN0TGaBkoIpKnZtsKMzSKnc5WTK3FCinqXbz8qLjCiVEqRSAWvviQ8VnZBKoJ/hBrevauAznnUGcatXIUhDGll0uej4x79IvPxSHHv3Y/5gIHIp42d30fLHkFc/9Y7vochIR6IcVKp27Tr63gvZX7WnzMZ45kpkSYn4+8zYt3yB5ZP14X4sn36OqrgQzdQpuCqr6HntTURXKCpEolCQdM2VaKZNRfR6sG3aivn9gYqq/X0jk4X6/WxDeFTOffgvNN/9O4xnn4Vm1gwQBBp/9IuI76tbtABpnAFBKg1/X8+RyNwHmcGAuyE0KAlyeaja5ccfkn79zVg2j37FdawZ6GSwaJ6S19528PsHzPz+l6b+xeNx0/r0ExHvE846F8tHA989GBBx7Tsxe2P7RA8lhiVs9/TvLRBEDAb+H3vnHR5Xda393znTq3ovlmVL7t0Wxg2DMb2XEEIJJCEJIRdySQJJSPIFctML7QYS4BIugUDo4GCDG8YdNyx3uUlWb6Ppfeac748jzWg8I2lky8Tk+97n8WPNPvu0mXP22nutd72LqKx8fwaVlYgUZHLmEmrtHxKRBndBdtZ2EnAoz1PJ1Itwth3G09VA0cTFtB1Yhzl3FLIsIQgihsxCfPZWBFGFMauYzsOKIRhILqLPCJSPM5BTpGPvRifjZ1vYv9mFoyvEL96ZzLM/qqd+nxdThpqx08wcrR1ZCYaRxtxfX4KxwMz6e96JGQCAjDE55EwpZNxtMxP6i2ox1u/d5xMnAc3Hgvzx+4pRFVUCUlTm8B6Fkr7qDQeCCH0Ew2P7To8JlgpntRH4LJFZPQPH4eTyb/1hnjML6/nnceL+H2CZfy7Z115J8yO/QvIOPdPqeOpZBI0aw7hq/PsVqeU+LXjDhHHkfPEGbP94g9CJJjQF+eTcfGPMCADk3HgtzrUf0/Xiy+Te/iUyLr4Q+ztKkpTlvAXY330fx/IP0Y0eRc4Xro8Zgf7HlgNBcm6+EVQqnCvXxI6dd+dteHfswrnmI1TmOAOn737bHn2ScGcXo37/ywHvN+r1oLJaCdu60ZWUEmioRw4GUJlOj9Gz4+X0K1Gli+bWCHq9wLe+amXqZC0atUCwX6F0XZYRGZmQ3U/O9MFXImFPCM+JHqRwiiD9ti3kfvMLiEZFoqLzj8k6N6cKZ6gjoUqcI9SBVZNPT1AZTPINozGpM9GKBqyavFj7QOipixMEpGgYS34lnq6GWJs5r6K3WJBE+8GPKZp0PiDQtj9O7w15Uhsaram36MokE6VVBj7433au+kYx5eONeBwRyscZ+e6f4/UCXv1981lvBJxHbVhGZTHlnnnUPhYvK6nSqznw7DZOLE9UA+hvKAZDKmZgf4Z5NM3Y13Dwb2kEdFn5qHQGwm47Eb8XtdECskTY60KXlU/Q3olKp8dcWkU06MfbehxRqyNjzBQCPR0E7clVuAB0FaOUWIMs492xi5wvXIe2sIDAsaH563IoBLKEHIkgBRNnTJmXLMW9fhPeHYoRCnd1o920NaFPsKk5NrB7d3yKfnRFbFug7gjujcpsLNzRiX5MXLDs5GNrN23FMv/cBCMQOHwU1/pNsf1Pvt++NkGjGfB+A8ePYRo/kUD9cfKvvwnnlk0Yq8YR6hi8rN5QWPPbkddT/2RnkG27gtx6o5nfPOZMMAAA85+9CQRYe/1fOefx64Y8XqDLw44fLMPT5EadmZ2wzbN+B9qyQlCJCCoR+Qwn/vQhIoU44Pg47f72Y3FXjqjSEPI6MGQWYsgsxphVQtjvisXYcitnEfI5EUU1uZVz6D6uuAAHHOh6iehl1QZGTTTx8q8aueG+UsZMNbFng5NIRObe82rTokafLdjz+CaaPjzMoj9dg6vBTv07Sq6O86gN6+hs/J1ntxHrj39LI1BQs5Smla9QetHNBLpaiAS8yJEIjsOfkj2xBnfTYQx5JXTtjKtMylIU57G9FM2/AvuhHQRsyYNXz5vvkHvbzZT/6hEiDgcdTz+XlgEYCrqKUfgPHEKdGeesezYnGoHA4fiMWPL5EqSCw52JdMVQa6+PWxCSju3ZvDX52EdSz7b77nfUY79F9gcGvd+Of7wc+7vxD78GwLn5sw+8p4NLLjSyYpWPF//h4ZEfZbFtZ5BQOD4Arb0hLl0uRyRWLPnToMczV2Qz76kbWXnZXwh1xOMLuZddRSjSRaipg1BDy2kbgB22dwf87I3YOeiM8/VbfAdRCWokOZpWje3OPXHj37In7tI8vlmR3+irKHY6mFBjZfsqO5GwzIq/tvON31Ty5YnbeeCSPfznn8YyaqIJlVrg/iW1BP0S9z4xloJRerIKtPz0lQm88PAJGg/5BmwfDqbdv5Ax108G4Lynr0GKSPTsbWf9t99l4tdrqPriNFQ6ZXi85uNv4G6ws+bLiRpE9kNdvLvkWcbdNoMrP/wK677+FmvvfJ3CeaNY/Mx1ZFTlIkckdv5iLS3rhs4XSgVBVIEsn2ZxnsHxb2kEoFcnX5YAAVmSEHpVwlQGE3IkjEqXSJNLLNM3cABXW15G4w9/mtQuBYKIhiGkDSQ5dh39EWppRVNUSMRxaolZmoJEcTdtSbHyhyyf9rG15WV0/OkvBI4MrZMzXFxwpYW1y5JVSwfDtbdnsvhyM/fdlCgo9/UHc1m7zM3RA4PruFSUq5k1TXFPiALMmj64LEfENzSdV45IiFoVaqsV/WiFKy+IIrqSUrxbDmCaMwnrhefQ+cTAekZnAlE5/SBi2HvmYzEPXh4v/LR5mY3NyxTfuFNXxLNvKDkVrtXxicMT96aenAzUPhzU/nEDtX9MPUk58Mw2DjyzbcB9++ihfaj726fU/S3uSm7ffIL2zYNLwuddfBX2zeuIuOPyF6VfvhtD+Wgibhfda5fj3rOLzKLxqDR6uhvOXIGgszJjeKTha60na9I5FC28Cq01G29rAxpzBqVLvkDphTchatKrVavKzkKTm5NyW6C+HtOcmRjGV6MpyCfjwvOT+sjRKKY5s9Dk56HJy0VlVWiPjhUrMU2fSuYlS9EUFaItLsI0a0ba96evHotl4Xw0+XmY587BNHN6bFv/Y/cd1zxn1rDuN+o89WIZZfd9L/73aC1LrrIwboqyijEYRRZebKasMp5XsOhSM9YsJeieV6gmt0CZpxhNyqP69osOQoH4zLaiSsu8JaYhlUD74HRJyDKUFKkoyFfxo0d6ElYBJ2PTN4ZWoDQWZ+Bvd4MgIqrViGo1yND5xqvoJ1QSaurAs3F3ehf4L0LEf+YEyvqgz9BRMDUPtS6R5qgpLsC1ekOCAfi8QNTq0eUWosstQpdbNPQOvciatxiVyRL7LKhUGCurkCUJTVY2RdfdgqFiDEFvD2rtyOlmpcK/5Uqg8UPFNdG0Ml5d7PhbTyuBrd5knaaVryCo1L2f5VhQuG1TsiJlH6IuN+H2Diqe+D1IEuFuG/Zly/HV7sX5wWpUFgt5X74V1Cr8e1NXz1JnZ1H84HeRfF7sy1bg2bYD3979dDz7V4V5tHQJshQl3NGp5D2kge6XXsU0czrZV1+BFA7hXB13c/U/tnXJYsIdnQnbB0Pf/Zb8+EFAcTv13W+60OQXAGC2itz7szz+/uceCkrU1O2FxZebeeUvdr77i3weuquVwjINPrfED35XwM/vbWfWAiOhoMzaZW4KStTUH06clZeP0XLX93N55yUHNecZWf1u6lWFzqxBrVcGHnt3gKefd9FjT2957WsdegXVtf0E629/CVmS8ezdg350JVIwQNhhR/IHETQqVJmWIY/zr8RIVwVLhRl3TqZjTxdjL57Jpt9tj7XLgSAZly9BDoY+V4ZAl51P0UU34G+NM+U61g88fvRHxGkn2B53sVmnz8F9oJb21/+GrriM8q/dS9a5i3Cs+ICCseeSXToFqVf88dDHz47ofZzVRkAQBp7e9W07uY9VlUO5dgINwf2IgoiIChERg2jBKzkxazKJEsEruTCLmTjlTrzS0DNdQaWi6P7/wLfvAO6nnwW1GtOMaeTd/iUaH/wJUiBA99+GLmnZ+ps/pmz37z8YYw2djD6aaR8cK1YmUFF9tXsHHJhLzZPQNOkJ/GUViFr8oS7ytIW0q0yYNNlID/0NfciLVluAWZONI9SON2xPuF/Pcy8gh8OY5syK3a8ciWAYPQZ/veImMk5IVh0VRFWMSut1S9htUeYsMvHW/yoZj2vec7Nrk4/ZC4zkFatZsNTE/z7RQ0WVlqk1Q89+Zs038sGbLrav93HO4oFVXi99eFYs2/g3095M2wCcDH2uiWggQthzkstJVijLKqOJ/Bu+iP/YEUS9HuusGjrfPHPp/iMNlc7ApK//gj1P3g9A1U3307b5n3iaDmMsKGfUpV8GUYXzaC2t698e9vFbdrTTuLGFjAprjAoJEOnuQZWVccbyaM4UdDkFdG1ZhffEkWHvG+xKLPyUOWc+LX//H2RJItB8An/zCfSlFfgcbdQu/91IXXJKnNVGwB92JmULD7XNFbURkgLISJjELHySC71ooTvSTFD2Y1Flo5LVCAjIyFhVOekZAb0OTV4u3kAAORpFk5uLcdJEwu0dyJEIGbpCdGozJk0WoqDimH0rFZmzaXDsYHRmDQ3OHYyyzkAlapRtGbPQqk14QooOkSPQii88dNnK4UIQVISlICpBTVSOkKkrAmQ0og69ykQfvxyh9/vQ5itGoN/9SsEgyHLC/QIEmuMzoKLbv0r9//lhQoJNnwEAKCzVEAxIiCJ89f4cfvNAB6Fg3A0jAG++4ODbP83DaBJ58wUHBSUafvC7AsZN0fHBGy6KyjRc8UUr5WO0fO17OfzjWTs/ebyIybP0VFYnF/7og7Uo/QpZJ6PsiklMuGcB9a/txnGwA0GAjAkFhOx+TrydmNQkGvRIwSCB5kZEvQFrfiH6iZUxdpD7w82nFByumnUTzq6jFI9dSHfLXlqPfkxe2SxCARflE5ZS+9ETTJz/NVqPfEzpuCUc3PoC0dNUFj0ZKp0Rd9Nh7Ae34209tSCn84SLjDILx1edSGACST4/gbrj6MdWDLq/trQU07Sp6MrL0eTnIxoUt6Lk9xPpthHq6CBw7BjeT4fnetMUFGCaOgXDuGp05eXIkkTU7Sbc1o7vwAHcWz9JuZ+/vQnTqCoyJ8+JtTn2bU/Z92SodHFiR/4VN6ArKiHiir//kt+HqrgMjd7CmJovoNaZ2LfqCcaccxPHPhnZicVZbQROFUeCO5GR8UrKUt4ZjQu+NYXiGiauqA2ZNPm7Xh+dz/6VzMsuJvOyi4k6nfgP1OFYodA2swwlhKNBZGSikhJkC0Y8FFsmEoy4kWUJrdpEKBKvTOYOdqIR9UTkUGyfkUaTOz5Q9Rm+PnjCPQltrmBn7Pvof78ZFy1BUKvxbNkWu18AORy/ZikQQDpJE0mORGJ92prCPP7TLtRagUBvpmRfUPiZ38R/n2d+0x0zDu3NYe6/pRmVSiDc67d/9nc2nv1dPNnmgTta0Gji21NBZzr1x7zy5pnsf+xjWj6MPzedWxpY/Pfbk4xA2GbDsX4tpomTkQIBOt9+HdGoRdTrUednnTI7SBBFupo+JTO/Gnv7QSQpiixHMWeVolLrEQSR7ubdODqPkJFfhc6Qge9UjEAsAVMAZERtPFbmbjyEqNVReO7lhD0OGj/8W8pDDIZZd02lfU8XJbMLWPWDuNtHW16KoNMiBQYO6hd+4+sYxqcu9SjqdKgzM9GPHYN1/jx8s2bS+eJLQ2p0qaxWsq+8AvOsmQmrEKH3mJrcXIxTJiNoNLg2bkpSGwi7HQmDvtqUfi0TfekoMmvmKxPImecQsiUy/NQZWUR9Xix5o2mt+5ic0ikASJGR1R2Df1MjkA4lTuk3vJfSf+gw/kOpMz4bHDuTBtk2z6GEtiO2DbG/G5xKtP/kffrj0g/uQtObaLPxnrfoSaF53ofqL8+m9KJxrL3l5QH7pDpP/7aTv4/B7vdk1D/8UMp2x4Y4Vz0SkYlEBv9t+q8OQMnklYbQ6hnMAIASEzhVGAutOA4m12w2FCT7+AVRJNjeRrBNqW8hanVEepxEek5fjluWpRhNML98Niq1jqaDq8jIVXJCpGh67LbBEA0FkUJBTMWjEQQRXWa8WIwhvwzn0VqCPR2MvfG+Uzr+8bWNNKxrwpRvTHAHqbKsyP7ggCoA2sLCAQ1AKqgslrREGov/8zsJtOyBkHPdtegrR9P18isnsQgTkT1zAZ0blqd1jVIoRP7l1ysfZJmuFfHiO2qLFV1+Id5jdXhtjZRNuxy11kBexWzUupGRU++Pf0sj8K/C0IPs4NtPxopLnsVQaGHp67ePzAX+C9CzMr2X4kxCZzl1I+DvdJM5Ph9voz2p/WToKyrRZGXj2qnQC3OvvOaMxAQCXhtl45egM2QgqgZ2gw0fMi3r3qD84ltxNxzEVR8nN2RPOgfr5XcihYI0f5R+zd7+0GfqmHvvTFp2JNbMkLx+BLVqwBhg3q1fiv0damvHs2MHodZWoh4vKoMedV4+utISDNVVqHNycG8aupiUOisrwQBEvV4827fj3bUbQa1GnZ2FYcIETDOmI4gipunTEVRqOp5XckgKF1+F6+h+8hdcHDMMupyCtI1A47OPkTHrXARBwLV3F4HmOKVUX1pBsKMN1+7tBH0OmvasUOoiCALHPhlavXa4+FwYgYsu07NtSwiHXaKwSIUkgdks0NERRaMRuPUOI4Ig8N+Puv+l+nBnBJ+jLMqzFSdTEoeDhjdrmfSdxejzLTgPdYAgkDmhgOOvJjO3RIMBKdjPDTNCD+Ph7Qrh4MjOuEE5uLlRieX0nqO7WfGDn9h3ekbXXrcTe10yJ73lozc43XSxQ++mLlQTbu9EO6qU4LFkbr2urAxtiRLU9+3dR8cL/5ss9HTkKH0mWVtUSLh7CIE+QSD/9ltjH337D9D18t+R/P3IBfX1eHbuwrF6NaUPPgCAccpkMs5bhPPj9bSvew/z6PF0rPtnrNZ1wcLLBz9vP4S6Ouj64J2U2zwH9+A5GHc1RkI+nB1HEQC9OQef8/Sy8E/GWW8E7vmOmT895uH2r5hoqI+QkysSCsL4SWree8vPkboI3V0S7W3RtN65bG0xNdnXpH3+sBSkPXCMFv8hHOHEL/+S97/K9h+twFbbylUb7mHHTz6gdd0xsiYXcs5vLueDy/+HyhunMfr6KRgKLPjbXay5Oe6uOf/Fm2ldd4y655WZ47iv1FC8eAwf3T40ywgBxt1ZQ8U1k7HtbsHbPLDL4RfvT6OkKh4c/dO9h9n+gfKijClYhICA099Kl+sIJl0OESmI1VBEt/vYaWcqVv7idxx/6PsDbr/ztQvJHxefkfVJPffhwdrrT+v8p4uGN2ppeEORrtBmGlDp1HTvaEw5mHn370XUajFWVSOFwnS+/fppnTurdDJ6Sw7uznp0lhxlpizLiGplZRONhFBrDHh6mjBY8pBlGduJ9GjF/wosfLCG5m3tyJJMw7qmWLscCqPOsCLl5xBqaErYR5Mfl6b2HTw4pNJfqG3oAbLoP+5BV1EBQNufniZwdODks3B7B46Vq8i8aCkA2ddcjaDR4Fi9Bk+9EicSBBEE6Ny0YshzDxfZpZOJhoM4O4bPQEoXZ70R8LiVt81iFfB6ZDIyQaWG7Oz40lGSQByiFq6AwDjLPCpM04Z1fo2oo8w4kRxdKeu7EqsMOeu6sI7NxVbbirfZQdbkQlrXHSNjbC6OQ52Mvm4K475aw94/rsdxqIOsiQVUXDuZhrdPv55A2SXjqbp1Jnv+8DFqg4YJ3zwXf8fw9Uo0Kh2hiI9or8rk6Px5WPQFdDgPolHpabUPnBOgr0hdF7cP/SmiAyFr1Mj7ONODgLlgFBpTJt6OekJep1KoJRpGY7AgqNSEPIkuoJBjYBpqH6RQCN+RkVEKtTfvi0k3e2yNKetj9G339bScUWmBkcDh91OzikKNLYQaW9CWFSdtCzbFM8OzLr2EUEuLot91ihCNBvS9BiBitxM4NnQmvHvbtpgRADBOmYJj9Ro0lkzKrr4DUacn4nEiarQcf+nxtK9Fk5VDxowadMWlqPQGGp97QrlGvQGV3kDE7UStM1Ewdh5aYyZSVCFZ2BpHNvHwrDcCb7/u50c/s2IyCezaEaK9TcWv/pBJ/1jhvtow3/+xhbWrBmZETLAupNw4+ZSvo9mXnPzlONRJxlglg7jhvQMUL1KCdBnVeTgOdVL95dkcfXkXzSsVRUFPo4OL371zRIzA6Gun0LL6CI3vK7kFeTXlmEqGDnKdDG+wh0DYRY9HWYqLggpPoIsu91FyzIMP8iXf/I/hX/hJaNvbQ/mc5EIkZxqiSoU+s4Cwz0Xlkjs49N7jZFVOx3ZkO4XTLqDrkKKvVP3VuXR9cgL7vvRrDowkEgb2FEvdvu1nuwEA6NjbnbLdetF5AGhLi+h+PtHnHe7sxH+oDsP4cagsFoq/cx/ePXtxbdhA4Njwqar60aNjTKDAseNpuewith4iDgfqzEwAdKWKe8pYUkHX5pXoC8vo2vwhBeddGdsnQ5tPtraUoOSl1VeXdMyM2eeSf9l1KSdJxooxFN/8FTreew25J0p37+pOVJ16bGswnPVGwOWS+MOv3AR7WSMtzVHuuNmWsCo8sD/M128fuJJSjrYsyQC4I920+g/jDHfij7qRZAmNqMWoysCiySFLU0SWthiVoEZGotmfXB7PcaiTqltnIWpUNC0/yPiv1CBqVGSMzeXwizuovn02jkOJiqS6bCP6XBOBbm/S8YYDU3kmzavjM053ve2UjIAsywhJbJL0fdknfvXIgNsElUj5Az8edP/3frCNObdVkVlqwtE08Hey8r8+JXKKWa2XPTI7qU2SosiShDG3DJVWoVlmjppMz7Gd6Cw5BBwKI6jihml07zj1mee/A0znTkU06Ik6XPh2HcI4czwRuxvr0nNxLd9AqDmZPZUKFzwyP1Zb4IP/jGetu1YqDDJNcUHK/bpe/QflP+vV6xIETNOmYpo2lXBXN+1/eYaILf0iPZq8+IQj3JHedQOE29tjRqBPoyTsdqDLKSTs6iFn5kL0+XHZcYsmj3rPLoqN41Mer+CKGxRRy51bCXa2UXDFDbFt3iMHkQIBzBOm0PLSc72tZy42eNYbASBmAPqQyi04GE1wlGlKwuejnu0c9SQndQQlL56Inc5gA6DMiqdkLEGSo4SkZJVCx8FOzBVZZFTlYj/QgbfFSUZVLpbR2Tjqegf/FF6qaCA1zUxtGKal73fLUvjUZoIufyvVRUvINJZyuH3t0Dv0gxQIEHEOnuA2GKUOwNsdYN2jQ8tQfPrG8VN+D1IZgZyqOag0Oto+XYmlcAwIEHB0kD9xIc6mfpnbMoTsw1Oo/HeDOicT5z/XY71kvvK5IAd/7WFCjW1pGwCAQ+8dJacqC0ElJFBENSWFhFvaYQAqcNTpxLVhI5b58xIEGDV5uZQ99EMCx47h2rQZ7569Q8YM+os8Rn3p/65RX7Ir0NdyAn9HM3I0SubkOXRtWRXb5gnbqDDPIBhNPbGRJYmm558k0Kq4u/obATkaJdjVjjavkKziCUQjQVydituqfNplNNaOLOPuc2EETgdaUU++riKhLZUBSAVJjlLrWDngdn+XB9unLcz48YWs/dLLHH+tlpk/uZCunc0Eurzse3wDcx65hD29MYHMCQXs/vXamOxA59YTjL5uCi1rjlC4YDSjrp6kCJH1g6BWHnpRlUifO/Dfm5hy/yLCniCiWmT0DVMJ2oY/WLn87ew4Hg9W72mMMxbc/sFf8Pqf/WjI4x//8QPDvqZUKM6YgoxEOOJHqzbi8LWgUenRaSyYtNn4w04CYRf5lmo8wS40KgMnbMrv7O70Y8lPlKGwHd6GoFKDIHB4hVJIvOvgZopnXkzDhjgLZ/0dLzPz4Uux7WrGvr8dKRg3at07/99YIcjhCAgCrg82Kf+vUGpPuD7cPMSeieg+1IO7VRkU+1NEBbUaRJFwe+o6HgC2t97G9pYiVSFotZimTcNyzhz0Y8agHzsW/dixsb4N339w4MlHP/dPujWmlb7JbZYxE8itWYIUDtD64evkzr2QjHHTaFvzFhZNLmZNNs5Q6nfIW7c/ZgBSQQoGUOUXYcouRaXRY7DmK4H/xpGvr/FvbwRONXEmXTgOdlIwrwKAnv3tmEozaf5QcdMcf2MPUkRi3Ffm9LKD3Ky5OR5crvvfHehyjCx69kbaN9az948fM/ZL8bJ0V6z5JqJW8RnOe0LRPP/n+cqA1bj8IMZiK5PumU/ntkb2Pb6BqlvTUwf9PCIiBTHrcnH7O9GqjUSlEHmWKiJSABmZTtcRZoy6gVb7XtQqHQ5f/AULesJJRgBAjiYOFKXnXE3ztmUJbRe8ficAmRMLk/Zfft6Tw7oHlU6F1qzFVGhCa9aiMWnQmrUUzUmtPll9TTUhT4iwNxz7P+wJ4+3yJq2KtKUl6EZXEGppQZ2VhajTEWprR1tShMpiSdCaGi68W/YMXsA9TZz7n7PoOqBUMDvwZtyVKWjUWC9QVhnpCMjJoRCe7dvxbN9O1uWXYT13LqIpXsw+57pr6X4tNTOr/+y//z5DQTQmS4+Iai0dG5YTdtuxVk1BpdMT7pV+8EUUtl6Ovgx7qDVpX11hccpAPyjFm/SFJYS62mk/shFRpSXkG3lJmT6cVUbga9/JZNtGP84eiVnz9BzeH6K4TE17awRZhqrxWrLzVDz3qNrjGwAAIABJREFUWPwL0aBFQiJKassflgJE5BBqIZ5UY1BZ8EeHp2M/EOpe2E7dC8qM03PCznsLEwuQNLyzj4Z3UgeCI94Qu36+OqGt6YN4EOmfS/484HllSebgM1s5+Ey8QEzTiuS4xWcGUSTrvAuwzp1Hy1NPEHE6sMycjRQK4d13+oXDLbo8utxHybOOpb5LSQY6YduWkHG9s0EJKgqCkJB9GnQlSnJkXnYuwcZ2JG8Aw7hygg1tSMEwba0foZtWgsFQSbCpk0BdI6suT6wbnC4qL66k+ppqTAUmNGZlsBfVw1Nun/ejeSnbZUkm7FMMQsgbIuwJs2WZQLitHV15GaJOh+PD1WRceD7O1R+llDUfDqKukamS1bSljeNrTiQZsD4p6VOB/f3lOFevIfPii8g4fzEAlrnn4Fz3MeHO5JVFuD0+M9cWpo5BpIK2sJ+h7nU5BWwdFCy8lGjAD4KAPq8YKaSs8oOSD5u3CZM6K+XxNNm55F5wKd0ffZDgwhJUKvIuvhqV2YJtw2oiQR8qdZTMovFEI0HcXQ2MdHzgrDIC0ShMnKpjz84g3R1Rptfo0WgFsnNVaHQCf3vayW13JwY/x2tm0xFtpFNKvbSSkbEFmyjQj4m11WRfw17nGnpSWOiRxuVPXcTWx3ZgO9wzdOfPMTIXnEfG/IW4Polna8pRiazFSxKMgN6cS1bheNy2E5izy/DaW3D3nKC4ejGth9fF/u/Dc9coM1h7tx+jNouG7kQxr5RZ2CfNroKek3WZZPz76sm9ZSnBpk50lSWos8xE7B4EjQr7uxvJumYhgbrGZMXQNGEtt1I4K3n1MBIQRAGtWausKlBms6E/1yIaDASPN6CrrAAg6vFgrpmNoDkzrJLhIrc6i7wJSvnNT56M5zOcrpS0FAzS894yBJUK66KFIAgYxo9LaQQCDQ3I0SiCSoW+snLA2Xh/aHJzUWXEdYFCrcq4Eexuo23tOwiiipC9C0FUYSiuAGC0eQbucDda0chhV7LbLNTdSfaiCzFPmoa/QfH3F1xxA4bKKrQ5eQRam3Du2IJaZ2RMzRdxdhxBrdGTN3oOx7edWsb2QDirjIDfq1jEabN1uJwS0ahMxKv8QPbuKJdfb0an6y/0JJAjFNJBY8rj9aHeW5tgBAwqCzXZ19AdbKLe+ym20MC+uXQx+oJR1K9Nznh8/1unvgz/PMFaM5fON/+B7+AB1BkKiyLU0YYmL7HqWU7JFFrqFGaI1mDFmjcad8/AVZhs9fEVW9jip3j+FFrercVSXYAUjiBq1JReM43G13firVdYIpaqfDImFeE+2oVzXytt++1o++sHCQKWRdMInmhHNBoIHG5EU5hNuL0H05zxWM+fQdT5+akRCyi1J0QRJCnGo/ds3Z7WIPdZYdvTu1NOYiM9DkSLOWXG8HDg3b1bMQIo+kGpIIdC+A/VYZw0EVVGBobqavx1yRTO/jDXzEn47Nsfp4uHnT0IgtgbsJbxNSsD+gnPHtzh7gH1yZpfeIqCq2/CVDUBbY7CWMqYo6z8PIf20fHOq8iRCNaiibQf2YizXXGfVcy8eohvYfg4q4zAq8/HJZ17n+cE9G+r0SzFImahQs10zSIAjkf3czSSHDhxhNtp8NYmJYrl6srI1ZXhjTjY1vMOwRQMoHRhKf5XJT2dHVBnZhHuSlRCRJaTeNB+dyfF1efh6q5HrTUiyzJGayGmjCJMmcWx/72O5FVasNuDqFaO5znWhRyVEFQinmPdMQMAkL+4Gm+DDeu4Apz7Wtn41AE2PhV/cR3v99OW6X2oAkcVUQR9dTmudbvjA6cApZdMYNS1UzGVZiLLMr5mB5u++dqZZO2dGlIxY84SAwBQMruQlu3JGb3asmIkrw/dqFJCjS1DMnwGgiqjnxaQZ2Aj7vzoI4yTlPoX2ddcResfHh2UxZZx3qLY33IkoiiKwqDJYq7wwEFugIjbRctLz6LNK8BYWY0mI5OI24nv2BGCnfGcFJ+9hdIplyBFQqg0ejT6kS9OJAyk3PdZQhCEU7oIERUX6m5id3j9gO6gk5GpKWRuznWD9glEPdR7P6XJf0DRZ0kDU2+dxJ6X9ie13/CPq9j4q62071YeiiW/Oo+2ne0ceKMOlVaFMc+IuyX9+MTXfjOW+VfnMUi9HQAeXPopHSeU5LkfvDSJ8TXx5WyfbETxWAMLr8tny7JuGg96yS/XUz7BxI4PbZRPMNF40Ev1bCuHd7goG2fE545SMclEy1E/7fWJlDnztJnkXXcjzs0bkcMhtAWFmKdMo+3F5/EdSl1lbaRwcgwAFJeJPIT6aDq48J2vcegvm2hekVjw58L3vsbqq55LaDPmKcHDgCOAPkOHr9uPIceA3+ZHY1Sj1muwlJjp3NvFpJsncnxlPX6b8j1OunkiTRubcDWNTKxqIOhHF5J95Vx6lm1F0KjRjcon4vDg2X4Y85xqRL0W0aAj2NiJflQB6iwzzg17MU0Zjf9IC9mX1WB7dwtRrx9LzXjsK7aTuXQmgfp2tEXZsX39h5KZUwVT4qqk/RPHTDXTkbx+InYHxqkTcX4QzyEovPubGKqrCLW2ETh6lFBbGxGbDSkQQI5KaIuL0I8Zg2nGdESdIn3tP3yY9qf/Muj3IOr1jPrVL2KfJZ8P9/YdeHfuApUKdVYWxom9AnK9E5nAseO0PfV0zEgZSyrQ5RQiS1FUWj3mMZM48frAcbwzAVmWT5v5clatBD4LOMLt7LIvZ7RpBlna1KwMvcrMBOtCKs2z+KjzhRE9f917R1jwg7nkjs/h8PtHaf908BlDf4yebGbBtell1z787lSe+d5Rdq3uwWNPrlVQVGnghvvLyS/Xs2VZN2XjTVx+VzEb3upEb1Sx9PZC3n+mla/8cgw/unQ3F3ypkNwSHSv+p5U7Hqnk8bsP4ffEDaSndheS30fWkovQl48i2NZK+0t/PeMGAJJjAMCIGAAAlUGDfX/y7FWlS/azj72sEq1JS9vOdjIqMpDCUaxlVmpf2EtGuZWxl42hIYXLcNw1VeROyKFp45mnnAbq22P/sq86l573tpB95VwAZRDXael+fT05183H9tYmcq6bj8qgI9LjJtjQQaChg2Cj8swKvasyx6pd5Fw7H0Gtovv19WRfOTelERgoY1jQahERMJYX49+fWnJDW1yEtji9Gr5dfx9aaVMKBAi1tsWOKRqNZJy3KGHW3x/+usN0niReN1iewJA4i9x0/88ZAYDOYAOdwQasmjzKjZMo1FehFpJfap1oZFbW5dQ6VhKRR6boS/OWVl6/8V1GLSplzrdm4u30sfah9UPuN2qiiQdeTC7hOBD0RhX3PFnNn/7jMC5b8lJ30rwMNr3dxbjeFcLMC7NY/XI7R3e5mbook0hIpmqmhe0f2JhxQRYdDX6O1bo5sMXJpPkZZBfpaDmS6D7zHT6E7/Chs+oBP110bq4nZ1pJkpR055b6pL7RYBSPx8uoxeU0rD1BydxiOvd2kVGufMet29po3Z4sP5FRbqVzT/qTgZFCxO4mY/FUoh4/GedPQ2XUE/Uqq8eo00vG+dMQtRoME8uJepSZtzrTjLZEmdHrRxeiryxCV55HxOZClTE45XKgjOFwSzuawjzCbZ0YpoxXXEK9CJ44gX5M5ZAaVADIMu5t24k606vf0Pbkf5N16SVKEtogx7cvX4FzzdqEqnm9J4y5kRx7t6V1zj7kXng53asGrkdcesfdyJEILS+NbD3hVPhcG4E+ZojA8Kh3fXCFu9jnXMdB1ybmZF9JpiaZzZGnG8Wc7Kv5pOftQV1D6cYE8ibkYDti5/jqE9iPO7n6r5cOuY/epOLep8ZhMCc+qFJUZt8mJxve6AQBMnI0VE41M+38LEwZalQqgW/8oYr6vcn+0WBAQmdSoTMo353fE8XYe/yAN0rHiQBVMy2s+J9WvvD9UXzwfCuZ+XGa7aB5NiNoAAyZWvyO06+mJIgCSx6YxupfD098q2vbCSb+xyJya8rxNPQgqEXMo7JxH+9m7G1zEtJQol4X/m4fhpoiug/aENUCZfNL2fbkTnKqs2MrlqzKTAqm5iGqBA6+WUfr9naqrxpLyyenz1aruv0BnEdq6dzy4YB9epYptGLXhn1xg32S4Xas2Z3Y1vuDd760JtbW+oSSWBiob0/Yt+/4J2OgjOFgfSPB+l5yx+5El6p9+QpcGzaSddmlaPLzlBwIg0FhPAkCEZuNcHs7geP1eGv3ELEPLB9zMqRAANvb7+D8eD2m6dMwTpiArmIUciRC1OMl3N6G7+Ah3JuHrk8w0pACAQxlFZ/JuT7nRkDCJ7spVlXglu1EiRCUh1Z6PBlROcxW21tYNXlUmmZQqB+bsD1Dk0+V+Rzq3ANnSBZMz+dL/7yegDPIW7coFv7av12BtdTCef9nPn6bn62P7aD6irFUnF+OFJEIe8Ns+MXQD9jV3y4lp1iX0HbigJenv3OY9oZk0TyNTuTPu2tQqQR0BjEhHtCHXat6+OYfqlBplJd741tdfPmRSiYvzOSVXzYgiAJjZ5hpr/czeoqJE/u9CUbgZIh6PVkXLEU/ajSiXp+wrenR3w55jwPhpr8s5NW7NhBwnboh0Fk0XPO7uVScmz9sIzDmS7MI2rxYKrKxVGTH2s1lmUl9P75NSQQ88bHiCmne0krzFmVg79wbD5rbjztY+8N4xbXmLS00bxmeWr9Kb0CORpHCp2kgUyWBnbxtOP0GgbPRjdakxVpiTsgYHgpRt5vufyTSIsfp51AXUPJzNIIOtaAlIp1aPCXS04Nz7Uc4136U0F723e8THkbJyJGEFA4hGk69NvZwcNYEhi1WkZ//dx7v/N3Nug98GIwCv/+fAt540cXHH/ooKFZz9wNZvPeqmy/dlcGa970svdLEy884ufM/Mvn+1zp58Jc5se0/vbcLj/vUlRW1op55OV9Ar4rP8Hc7PqQ9kCg9azl/HsbZU+n4XXoBoawbr8D++sDLwJPxpR9VcNEdcV9oNCLzw0t209k4dA3ZLz9SyflfTE6I6V9PYKRQ8dOf0/nqy4o7aACUzL6clh3vkzd+Hs7mQ2SOmoS/pw1321Gyx8wCZFwtdUQCcb2VvnoCj857l5B3cB2iVBh9bgFf+POC2OeT6xWcrfjqN0wYTSJP/jHFwCYIjP/6z2hd/QauY4m6S+msBP5VWPBgDd0HbRRMy+Pj/9qakl1lEM0YRAsV2sns8X+MgMBkwwJkWaLWvw4ZmQxVLtW6OWz3rUAvmqjQTiIkB3BEO+mJDL/gSsHNt+DZU4t3f2JSZ9l3v493zx56Vp3+dylqtRgr4yUyrdNn4dqdXLxH0KgxVU3AOm023sMHaHn5uaQ+/fFvFRj2uCXs3VH271aSc6bM0rNlnZ+PVih+5wUXGrFYRRZfYiKzt5bAqmVetm8KULMgSEGxKmF79SQtu7aeQrHtXoSkAMe9u5hojQeKTOrk2Z/7o80YpsZ99eq8HLRlxQTqjiF5fUmf+6ApKURyuYm6B1bOFFUC51yem9C28a3OtAwAwHt/ambh9fmoNWdWOgNAUKmJONJcisd8SQKm/FG4245izC0l5LEjiKkfyRufWsDrd28k5EvfEMy+dSwXfHdq7LOn+9Sfh7MJE+/5JaJGR/lVd8ba9j16f+xvUa2h9NJbsFSMx91wiLa1bxLtrXiWMW4m+edciDYzl7DbTs/erXTvUGbAKp2BCd/6BXXPPULV7Q8AArZP19OxecWA+9p2fpy2jHXzJ200bmxBl6FLyegCyFOXYRIz0Ao6rKpseiLtnAjtxxt1xdy/zmg3EoprNiB58UouApL3lAwAgoChqgrPnpHX5OkP0WCk6IZbEDTx1bR5wtQB+0uBAN1rPpvSrGeNEZBlePj+bp59s4i7rm8j4JcwW+O+fr9XYtUyL8vfVPzbl99gTihKLghCwvaRgCeSmOUrMnhwSltahPWSxXg27yD3ji/gePfDhM9dz/0dZBn9+LEYp02k57Vlgx5vfI2VjLzEgPVHr6av2mjvCHHoEyeTFyQbr5GG78A+zNNm0LPqgwH7+HtaKZ51KXprbq9Sp4zOrLhYHCf2Yi2uJuJPnPl21jnJH5dB6fQcbvjv+bz+rY2EA4PTdlUakYsemsHUaytibR0HHbx57/AEz85W1D33X0y4++c0Lf8b7uPJ7Kvs6Qvp3vkRTctfpuzSW4ics5T29cqzVnLhjbSueR1fexO67DxKlt4UMwJ9KLv8yxx75THUBgtyvzhYqn0FUUXXtkTpk4GQPymHgim5RILRAdlbUTnCwUBiTCFbVYwGHR2R1MlkMqnk0IdGybe+jba4GFGro/DLikG1r1lNz4fxCmGCRsPon/8SORrBX1dH19tvIgUCjPntH2h69A+E2uJxHG1RMYJKJNicTFePOB0c/dVDGMpHYxw7HnP1RALtyS5AORwm3NONq3YHEbcrafuZwFljBIrL1Nx+dwYnjissnL07g1x9s4Uf/TqHR39uZ9UyLz/9fS4Tp+nQGwQ+/SR5Vjf/fENs+28eshEOnZ6rq78rCBgymcwwfRLujzYTPHYCTVFB0md9VSWa0iI0Rfl0PvnXIc8/ZnpysPnE/uHVIahd5zhjRiD7wotjf0dcTjIXnY++cgyBY4nl+npWK8vpnuOfIogqZEkZWLoPbY1VS/K0H8fb0ZA0q3zlrvV88ZmFFIzPpGxWLtc/OZ83vr2JSDC1ITBm6bj2j3MpnRlfQR1a2czyn+wY0nh8XiBFlNWyHIkghZNlLfwdjXRuVoyx49AujEXx4kC23RtxHNoFQMjRRc+e5JiUt+kIwZ5OgiQyllLtmz11XtpGYNufho7HtIePM0E/F5Wg5oB/C1nqfERBpEhTiVNSKKZlmvGYxAyqdLM4EtyJK9pNtW4Omao8DgeTXSwDoe25ZxDUGip+9ggdf38J34EDSaKCGfMX0PzEo6gzMsm/+RaylizF9v4yAo0nyJh7Ll1vx92L1tlz6F727oDnk6NRfPVH8dUr78dg7KDPEmeNEWhtivD7n/YQiSgDtyzDz7/bjVYnxGb8D327C71B+dyfrfWn39gH3K5XmQlGvSk1ZoZCqWFCwmd3ZHA/uhwIxvTKRYM+6bMUCCC5PETdHgxTJ+Dfc3Cww1E+IZlyN9wQzon9qVdGVjEHs5BBUPZjFCx4ZRdhQmQKeTjkLjKFPNxyDxJRylXjaIgcxCMnKhmapiRmYId7bKiMpqR217atSKEQarOFUE83muwcIi4nqETURitRvw+12ULE44ZIohEIOEO8etcG7tugVG0aVZPH9Y/P4837Nqc0BF9+5QKsRf0CajK8+8AnA2b3Tpik4dvfMTO7RktWdjLLrLosTuksKVXxrXvNzF+kQ6sT2LYlyFOPezhcl+yi6ut7zQ0GnE550L4TJml46fUc1CrYvy/MU497CAbBmL7IZQL87XGOfjToQ6WLB+rzapaQV7MkoX/XJ6tihhnA15Z6xp1q35FGlCiHgzuQ5Kii+xVpwxZJpNUeCe7kSL/B3hW1scs3fHkWKRRC6B0o5HA4Jv7WH4GmJkIdHYQ6OvB8uitWmtK1eRO5116P7f1/IoWCCKKIecbMQY3A2YqzxggAMQPQH6GTCsoE/IOPgidvrzBOpcI0PX48yUe9txZPxIY/6iEih4jKYfSiGZM6k2xtMUX6KjRiIsNlr3MN9lDqEoOdjyvBmz7xK0GjxvnP+Oyo/+fg0YZBr78/pp2XWoFwODi8000oIKHVJw5wAsoyOlPMwya1kyMW4pVdgIxJsPZulXBJPQTFQEoNlHRZP9rcfEStDuvUWYRsXUihIMbySmRJIuJxE/V5MY+bRMRpx1m7I8nSBVwhHpv/Hl/48wKKp2RTcW4+3912Db+b9TZSr9E4967xLLpnUoyy6e708+a9m+k4OLAE7zMvZLN4iY5vf93OPXcpE4mf/zqDm24x8vBDTl5+UVn56fUCK9fnUVCo4r677Tz0gMJDnz5Tw2vv5iLLcOkFXbS3RdPqO2NC3Hf9z1V5VI9XJxib679g5Kc/t/LkowO4NiUZkGMVrpI2p1gd9MFZ9ylNy/824HYAOZI6Jyadffug02cQCfuJRlOzl7Jzqpk68yusW/WDpG1RefgEAGkAjZ7TRf9VreT3x5hv7l070eQXUPzNb9H8xKMU3HJbSjfQQEi1CjBllmDNrcTWXEvR2AX4XO0YrYX4XO2otSZUah3Nh9JbdQ0HZ5UR+CygFY2Ms5w7rH1a/XW0+AcXmeoPORwZ9HO60BpOLf/hZAR90SQj4JRsuOiJrZAcUm8WaK80c3+J5qOR3UOvpAQBy8zZZJy7AE1OLmFbF86tm3Hv3E6oWzl299peX2sKYahgR+ugy5ygJ8xr39ioGIKpShzhmt+dwz9/vJ2LfzKTiZeWxfq27evhrfu2DBkInjFLgySRUJt67eoAN91iZOKUeCzmsiv1FBap+OD9AB+8H++7e1eYvz7n5Z77zNx2p5Hf/dKdVt8+TJ6qoXq8muamxBXNm6/5uOWOgemBshQl5Ogma8Jsgt2tyLLinkkH1upp5Ns6cB7dgyAI6HKKcNbtOuV9BVHEcXBHUt+aed/j4L5X6e5MllI5qyDLisbVAAZ1MLi2bCJr8fnoK0ZjnDCRzn+8clqXIogikZAXa14lXmcbao0+9r/b1oAlp+K0jj8QziojcNVNZoIBmUN7Q8yer6duXwhRhHMWGXj20TNXVGEwNHhrOeTe9C8590gh6JdIJTuVUoa5t63/tnRcadlLLiJz8RI8tZ/i2b0LbXEJedfcgCYrOzlYfIpCZ0FvmH98cwNfeGoBJdNzqLqgmG+tvAxdP4XQA8ubWPGznQPGDPpDpRaQpMRT99HuDYZ4oPGcc5UcjfUfJc+w160JcM99ZuYt0AHutPr2Ydp05bo/2ZLcd+e2wfn/zR++SvEF1zH21u8TCXipe/bhQfv3ofHd58k7Zyl5NRciS1GC9s60jUCqfbu2r0nZV3WGiqKPNORolLDNhnnWbILtbUjBIFFXegHZiNOJ98B+cq+6BjkcTqKYDgaV0UTUlxjf8/Q04bW3xOJigiAiy1Lsf4/9zMiKnFVGQKsTEEUwWQS6O6LMqNEhiEp266mi0bcflaCh2FCNKoU0xGCwhVo+9wYAIOQ/M0vl/rDOnU/XO2/g3hFPn/cfP0rOpVcOyhgaLkLeCK/dvZEbn5pP6YzcBAOADMt+mH76/r7aMHPna5kzV8vWTcqgO3+RMojvrY27RAoKlVliW2uyYWlrVb7bomJV2n37kJOn7NPVkfz72GwSmkGovb7Weo6+9Iek9iMvJrroOrd8mJAz4K4/gLs+tZ5TNOhPoJqejMH2/Tyj87VXyb3mWsr+83t0vfkG7p3plZ8FcG7eSPHX78a1dcuQ9bT7Y8z3H+b4Hx9JYgD1J0b0/Z0uBfdUcVYZgb5Z2fQ5eqWegARuu0Rhyalfpi/qZL/rYw66N5KpKSBLW0yerhy9aEYlaFAJagRBJCT5CEZ9uCM2XOEuOoL1BKKfL035gfBZJASKOi2BEw0JbYETDYjakZ8RhnwRXrt7E/dvTdRWf/eBTwbYIzWe+KObOefk8MTTWbz4vJf8AhU33mzkREOE119JZoKlksoYSD5jOH1T/TrRCJwltWDSRnbuOErL52M2K8mNk6fdlrD949U/ShrQDMYcKsdeQmZ2JWq1nmDAyfYtjyXFEvSGLEaNvoCsnCq0WguRiB9Hz3EO7P174jXkVFNUWsP+2pcS2ssrFlNZdQn1x1aSM34/erOaza+1cMFXyln7fD2hd//MqLnZmDKD7AWmXphHz/I/M3FGBu1zssgpN9BxbCsNf0hMHJOCynW6dya7xAZDoL3lM6OADoWzygi89VL6ad9WUzHnTPwG3kA3m/cOXetVkqP0hFrpCbVyzJPeDyYIIqOLFqHVmCjLrwFgzc6fI0nJFl8QRErzZqNRG2P9B+qbLiIhCbX29OMC2YW6oTudJrreeZPSb38H/5HDhG3daPIKMIytwrFhPVkXXEhfxNa+dhhKi4Mg7I/wm+lvcv79U6m5vQqAK34xh0Mr0w/O1R+P0GOX2LM7xLNPewkGZX76w2Txsddf9TNvoY6bbjGycX2i6+aLtyq++7ff8Kfdtw/r1gT49nfMXHalnkd/m/jsX7BUx+aNp6+Z9Fmip7uOnm4ldrZ46a/ZV/u3IWMCY6ov58Cev8feE70hi4UXPMKubU/hcip6QqKoYe6CB9i/5+/UHehHycwoZ+H5D7Ntyx8JBtITjQMoqjLT3eSjcKyJonEWSsZbqDonC58rzP513dz19DT+et9epi7NQ5Yhs0jHwY+7cXXHfw9Ndg7a4mIKbr6Fjr+/lDQBGgpS4OxJXDyrjMDZBlmWON66DlFUx4zAYH2bOhVXRDr904GjK0xuyekN4GqNgN6UhgIjkD8ljyufvyyp/eOfbuDoiuOD7pu1eAlRlwttQSHaAkWIL+p0YJ6SmBV5shGY9/XxaV1bH2QZIoEoQU8Yd7ufulXNqLUiM784BpVWHPJ4m5+Jy1rMmqMlL0+kpSmKSg0MQKr5cLmfhuNmLrpUz2VXGli+TBnwp07XcMdXTfj9Mi+94E27bx/27A5z9EiEsVWJr+HV1xmYNUd7ykZgyq2TqLlv9rD2sR938NZNnz298fCBtxImSgG/wtKyWEtjRiC/cCpdHfvo6kiUyHA5G1GpdZSUzeP4kRWkC489xLZ32pElmZcfVIxUyyE3giiQX2Hk4HobkZDErvc7EoTu+qP0/u8ih8PYP1qLZ/enSduHgqF8NJrMbMKOocvOqkUtenVcw8gTSi3Jfar4/0bgLEbjQe9pG4HC0YYhC9CMBBr/8OtT2m/hPZNG9DqGOl5/I7BlY5AD+8Lc/hUTt39FIeX7vDJNjRFee8XPSy94FaMTgW9/w87/vpLDY09l8tVvmPB6Zeaco0WW4Xv32mlpVmIAJ/fIlICvAAAgAElEQVRdcpGOvHxVQt/++PEDTl54JZs3luXS3BShYrSa8RM1vPnaqVe5+zwhFErtclWr4xTtzKxKemwDs/OysscOuC0Vdr7fkTJjWZZkwoEom/4Rz+QdSOiu/sc/GtY5T4Zj+2ZKbvs6ncvewNdwdMB+Jk02k/KW4gjGKcSHbUNLzw8H/98InEW45fslbPpnDw0Hldlj40EfMy/MHmKvwVFS9dkoEfaHaDAg+Yev5vpZwmAU+MFPrFSOVbP9k5AyiMtgMgvMmK3lJ49YMZsFnn5SGaQOH4pw9SXd3H2vmfOX6CguEVi5IsAzT3nYvzeRV9+/701fMuJ0SAP23bUjxJeus/HiazlUjVOzf2+YO2/poaM9yuVXGT6z7+OsQ7/4iU6fQWAQd49eP7yMeI9t4BVWT+tn46YRBAFRb6D0zm8hBQOEHT3I0eQAcPClZRyzb8HmH7yO+ungrDMCapWO0vw5FGRPxqDNQCVqsHsa6XLU0W7bQziSOLjIsoRK1FJZspjygrlEoyEcnkaOtXyE25eY3CWKGgqzJzO2dAlatQlJjuAL9NBpP8jx1nVn7J7Kqg2UjtUTCkjsXOukoFxHxUQDB7Z6cDsilI7VU1CuS5qxH69NjpGUjTPSVJf+LHHKojOvG9SHjHPnk3XBRagsFiJOBz2rPsS9Y3jB2s8KD/7Yyo03G7nnLjurPkh88fPyRDbsKODq6wwxIwDQ2RHl4YecPPxQvG/V6EuAZPZTZ0eUZ54Yw8MPJdIvNWpD0jO8b2+YmROSxc9SKoj+P4rTlUA8lTyAM4nMuQtjf4s6PbqC4pT9OoMdTM5bil5tRepNomvzDKzUeyo464xAzcSvY9LnEo748Pg7AYEc6xiyLBV02JJ5uLIsMXv8HVhMxTjcJzAb8snLHEeOtZJPDjyLxx8XXCvOnc6EUVfgDzpweBpRiVosxkIsxkKOt37Mmagcnleq5Yv3F/PP/+ng5u8W090W4uq7Clj3Vg/f+u0oHv9OPTd/r4SVL3cxfZGVje/FfYT7NzvxOiOYMuI/03k3FfDSI8lVrVJBoxOZccHpZx2nA2vNXLIvuQLnhnUEmpvQl5WTe+U1iBoNzi0bB9xv+U+Hx6oYKcxfqCUSgTUrk2d+NptEwC9jzYwPHDqdFQERi7kYr68Tn7+bnKwqunriL6TZVIDJmE80GsLjVZ67vJyJsf4ajZHSorm4PS109xzmTFWqb93exs4/f0pmRQa6DD2GLB26TD36TB1q/eCvfMaCRXhqPyXqdqMrLiHq9RJxOhBUKlQWKxGHHXVWFhG7XanpK4posrJj/c4EAn4HOn3GwNsDiedNJSan1aZX9OmzQsOT6blPRWTaPIorTBTOzHB91hkBkz6Xo81rqG9Lz+9lMRay7/hbtNniUrAZ5lJqJtzFzHG3sX7372PtzZ3b+b/snXd4XOWZ9n9nzvQ+I416lyXbcpF7wQZjg2mmBUiAACGBfJtNQkKSDdlks9+mbHp22YS0TYEQCASSEEzvLtjg3otsybZ6Hc1oep8z3x9jlfHMSCNb9uewe1+XL+u85z1lZs55n34/XQPpOcAzK6+nqugS2vqmvibA3hUh6ItT1aDlp19oZdm1Fra84OTgVg/183VUNWjZ8foQB7Z4WHZNqtYejyX4wT1H+fb6uSNWwpV3F1E7T8/3P3qEyDj1E9PmG3jo8YaRzmHnG/k33UrnT35M1J6sDg4cO4p3/17Kv/AQ7m1bsS5fjXPbRizLVjG0fTPWS9bgfH8DXX2VSKEgiXiceCiA/0SqlqMuz0PUqZEbNXj2niIRl9DPKENpM+B8twl1eR62qxvp/N0GNJU2gu12lDYjuvpifEe7iA5lJtx7+IdefvJLCwdbitiyOUxne5x8m4yFi5UUl4h0d8W5+8OjXFFWc9Lv3Nu/l2nVV3Gi9U0cQy3Mm30v+91tAFSUruRUxwZmTLuB/YefAMDuOMq06qvo7d+PPzBAJOpj0Dl+9blcpaNgxgoCji5cXU3k1y5KVpOGAwRd/YQ8Ayh1FnT55fgGWokGvSnbjuNOHMezBxxv/P06bLPzs+4HyLv+JmKuIQSZiG//XlRl5RgXL6P3D0mKFNPylcgtFhyvvoR6Ye3IvJhn1G1jK5g1JRXDzU3Ps+rK7xCPRxjoOzgybjSVE49HOXJwNB3U7W5n7oJPYLFOY8g57GsXKC2/JOfr3fqXmzFXjQqd9Vf9kc/eZ0ImE9i1P8Srb/tZu0pLKJTg3e1Jq27GNCVmk4w8q8ibmwJEowkqSuUsmqfmb6+kxz2Gq+hzQbd3VPmtt146zsyzw8VlI51GZdElFFpn5UQPmyDBwFAqEZs/mIyeK+W5MXCFIm5E8fykUYpygepZWuoatdzymWI2Pedg1S15fPxfy7CVKDm+x8fKG63c87VSCsrT76HzmJ9Nz6bSR1fP1vO1p2ZRWKVOmw8gyOCffjfzggkAgJjLhbqsPGVMXVZOzJXU0lSFxaiKSon7vBjnLiLmHV0s4uEQCrMloyZZdNsy1CUWtNUFWC9rQKaQo67IIx4a9a0nEmCcV0X+NY2oCk2UfWI1MV+Iqi+sQ9Rl/l1feznEx2538O6mMHMbldzzcR3LVqjoaI/zw+94uGGtfSTYO4yJ0n0FQcBmnUFTy/qM+0ZudgLI5ArkCg3x2Gi6kqWykXg0RNWy21DprZQvWEc8HKD6ktsRleq07bOBsrAIdWU1hnkLCRw5jKjVJVs4+rworHkj82JDQyhLSgh3Jv3UY+eNzImFKCxewMKln2Pm7NvTagYmg0QiTiTip2HOR1m49AFmzrmDeQv/D/MXf5rjR/4yklEEnP7OBOYuuI/GhZ9kVuPdLF3xZXq7c7M4dQXaFAEAoNUImIwioXACnz+peA25JL750Oh38pUHLEyrVjC3QcVHbtRTVa7g+1/PZ8gtYTKe/Xto1ZSxpOR2FhXfxqLi2yg2zJz4oEniorMEuuy7KbMtYm7tRwiVu+kZ3M/J7g1Z54cjXuJSaqBn2HcmZEiL0agsNFTdiEZlRi5qEGVyZDI5rT1bpvaDnMaHPl3ELx5q49ThANfcY8PvifOTB1tRqGREw8kH6nv3nUCuEIhFMy8Qf324g4VrrRjzR6uHqufo+d5r8ziy1cWW5+xIUgKDRUH5DC3zLregMSTTQt32KM27PSy+Ni/juacK7ve3kH/TrcjNFsJdnajKKzCvWo3jtSRRVu/6ZFFPuK87pXft0I53ybt0Lb6Wo+jqZxG2p/rGBbmIc9MRNFUFGOZVIUXjJOISuroiPLuTXd601QVoyvNo+eZfKLhxEaJehWXFdORGDdraQrwHMwfVdmyLsGPb2aVhqlUmSouXoNPaqK1aS1fPdgz6EkBAp7XR0pq5G5XH10Vt1VWcbMvOehnxuwh57Hj7RrvYOVv34eltwVhcj7msAVGpwVI5F7lKh9ZamrY99thcEenvo/+pP4xsB9tbR7h1XFs349o62hLT/txou0fn22+MzBvG/t2/pnra1RiMpegNRUSj55YosGf7I1RUrybPNpMCQzHRaJDBgSMM9B9Mm3ui+WWKSxZjMleTkGJ4PF10dWyluHTitNnSpem++c6eGM0nI3T1xtj8fvJz7NofIjyGql6hEPjT817mzFCx5lIt11+lw2yScct1OiQpMXLcWCgseZjmL0FVUoao1tDxu0cAkKk1iGoNMa8bmSDnuGMz7nDyvTgflsBFJwSa2l6iz3GI6uLLyDPVUFOyCpXCQEvXm2kBNSBNAIyH0vwFzKi6nmDIidPTRjjqIRYPYzXWTOVHSMGR7V6uuD2f5dfGUWlHhdKwABhGNgEA4HfHeOSB43zl8YYUIjhRFJi7ysLcLGyjkZDELz5/HEuh8vwLgffeBUnCcsVaRL2BuM+H883X8GzP0MjlDG3YuW0jSks+Q9s2ps+FkXQ+QYD8K+cg0yrpeWorgpj8LqIuPzGXH9OSaUjBCM7NTTjeOZTxXACf/qKB7VvCdHfFWX2Vmmef8HPLHVpCIWg/FaOmTs7BfRE0GgGNRmDf7ghX39zM47/2MWOWgns+uYuvf9HNyba3ONk2Wvdw5Phf8fp6KCtZhtlUSW9/Mih8onV0wff6evH7J3YFnMnaKo3huY/HIjjb9jF4clS7VeksKdtTgkwcTznO83l7ObTv8ayHOB3NGRlEgYzj4bAHlzlAy5YfkLfwMuQ6I+FYL6bp84h4hlAaLagLywgP9uIjyIGmJ4m4Bic875koWVKccVySspK2jiB+2nAUBPD5JZ5Z7+PJv2SuCjYtWk7BdbcgiOk1PNqqWkruvI/+F//M4J7UBjsdnsn1yM4FF50QABjytjHkbUOjslJmW0hV8UrM+nK2H/nvES1/stCoLMysuh5BEHn/8M9T9slF9Vl1JsoFTbt8NO06d/qJE3u9/Md9TfzL07nl1fvdMX7+uWaa93gpqDg798Bk4d62Ffe2rciHXTs50lUkYrE0CyAbwr1DFN+5AmWege4/JDXTmMtP56MbqXnoBtp+8ipV/3Q9uunFyFQK2n/+OoloqlsnHodZjUr27faN8PMolAKCDCQpgdEkI+BP8KHbtdj7JfbtHlU0jh2J0nQ4M9VyadFiYvEgokw5IgAyQUpMTG7nH+ykbME6uva+krbP2bqP6hV3oMuvQCYqaNvxHKbSmSnbZzZH+SBgLEV2aKAHUa1m6PBOKm6+j471j4EgQ1SrkSLhcem0x0M2IbB7f4gf/Vs+yxdq+JfvDfLdr+UxfZqS73w1j1/8Pj199dn1Xn7/0yKWzFfx5W8OplgNAIXX30YiFsO1ZzvhgV4Kr79tZJ+/pQkpFEI/cw7uPdvTisVgarPGLppG8+Ptryu7kqriSznR/Q6tPcmA8Xi0ETKZnCsW/l8A3tr1DQCqilZQV34Vdtcx9reMUr6KMiUr5nyOnsH9nOjOzIg49ny5UEEMzz9X2ohsKKxUs+yGfGYsMVJSq0VvkRPwxOhtDXF8p4ftLw/S3TL5YqNzqRj+IEGUJ7l7PqjIFBj+/1UxPBUobliNTCan+/BbFM24jL5jyTWifP46gq4+5Cotfcdyc/fev+vetLFHF/8hw8yJoVIaMBur6R9Md1mV3/dZOh/7xch2/bcepvkbo+R9xR+5F/30WXge/i0xKZy1TuAD1Wh+GGZ9BS5fJ2PT52yWZDDEF8i9v+6Z8IXsI+cfhlxUMbPqBlRKY7bDLkr0t4d44edd/H2+shc/PsgCYCLMnaXky5+xYNAL3POZAW65XsdHbtLz8K9c7N4fxmKW8Z2v5fHY0x6++I9m7vlMP27P+WepzYb86oVEA27k6tEU0OKZq/AOtBIY6kGu0OC1t/1/ubfC/NlEopmVsbh//DaxMpWKRDyOQlRTbmz8n1UnsHjm/cTiIYJhF5GYH4WoQafOZ9Ddgt3VfNbndbhP4A30YdAWMbf2w4iiCpOuFEEQOdWzCSFDolRx/jx06nwU4qg7ZXrFtQTDLmLxUEq6aXH+PFQKPXJRPTJ/esW1xGJBovFw2vz/xf/ifEBUaxGVaiKeiTlpMuHGq3X86nE3i+apWLk0+Rz/+QUfG7YEaZiuZPVKDWaTjA9dpyPfKjJvtipj0PNCYbBtb4rbse/Yu6P8+46Okb9zgUwxtdl0Q572jOsKgKqoJCVBYiwEhQJ1USkRex+JRGJk0f8fUyfQP3QUo7YYnToPvayQeDzMsfZX6LLv5lyKaxIJid3Hfk9t6WrKChYTiwVxek5xsnsjkZifysL0POK60ivSrIQy26KR841d1Mebm2n+WFxT9nm2D/wZuUxFrWExRqUNENjveBV7qC1tvlFZQK1hMRZVCXJByQnPTtp8e1N8zQvzb2TP4Isj28sKPkJPoIkOXzJgqpCpuaLkH3i965Es39goMnkMRZVI6ZISZn+0AWO5AaVBiVwtJ+qP4u70MHRiiL59/fTu6cfXe34ouVUmFbaGfPKmW7HWWzGVG9CXGFDqFSTiCeKROCF3mP59/ThPDNF/YAD7kcGMvDFTgZLFxcy8bTqFjQWoTCqi/ij7Hj1I8wvNRAOZzQuZQsa062pZ8vmFKDQKgs4g3m4fbZs6OPKndO5+Q8UMvB3JRUGhNyMIAhpbGe5Th5CrdeTNWYkgCAQGOvC0HUVpykOTX4q/+ySx0PjaJ4DHK2EyyDAZZHh9EgU2kXB4NDDv80v8eb2PJ/8yNX7psuWlFC8qIq/eirHcgMqkQlSKxIIx/AN+3O0e+g/aM34XQMaHMxMn/0SQKWRUX1F1Nh8hKyzGSlyezG4chTWf/DXXMrjx9ZTAuiCK2K6+CVFvwLHlbVze3BvVnC0uOiFw8MSzOc3z+HtG/P1nQpJiGffF4iGOd7zG8Y7XyJu/kvwrr8D/678AZIwHvHsgvWlHNkxmbiZUGRZQqKnFFe6l238UjdzEwvwb2WV/Hkd4tKNQoaaWedZrkYgzEGwlKgWpNy3Hpq5k1+DzI4JArxjNBpIJIkaFDb/CCSSFgEExfrHQWMTHdOlSGZU0fmIu9TfWoTIq0+YqDUpsDfnYGvKpvzFJ8dz5XhdvfiFLvEUUktmFk1iYDaUGKleVs+TBRQiyzC5RQSYgU8hQ6BQYSkZdBUFnkBOvnmLnTyefSXPFDy+nak0lkCQWe+Kyp4hH4iOf49pfXpUyX2VSsexLi5lzVwMbvraZgUOpLSCN5Uau+OHlWOtGs7t0hTp0hTqKFhQSsAdofbst5Zh4aNS9YCirw1w3n4F9GxGVagS5AlGlJhb0IUUjaPJLsM1fw9CxnZRfcQftb/5xwoDpE896+cWPbAQCCd7fNURtdWpTgz+v9/HoTwtYPF+FViPjs/9sTwt65gJdoY6598yi4fbMee+iUkRlUmGts1J9ZRX1N9Ry6KmjnHr9VFZSt8lAY1Uz7bparPVWrNMsmKtNyOSZtfZMcYKJ8NTaZ4hGgxj1pXh83Wn7I4MDWC+7Ev2sRoJtyXTewutvQ1NThzLPRqinE/fubdi0tcQTEZzB5BpQn3cpzY6pTWe/6ITAMOTGpJajKi7Dd2w03a/srn+g66nfAAKa8krkRjPBzjZiHheCXEEiFkWuNyCIcqLuoewXuMhgVOTzRldqgPvqss/RmHcNG3p+OzI2P28dLZ7tnPSMdtBqcm3h8uJPcEXJp9jQ81viiSga0YBJWYg70k+5bjbxRIwS3UyOujYTT0Qp1tbn3NDb35/UIO/fee9ZkbiUryjj/l33Yj86yJsPvk3INboQzVmdjyCD/W8mF8ix9RNj8ZH1t2AozdQkc3LQWDXMuXsWc+6eRevbbWz4l81nZWDKRIFp19VwfH0L02+uY+XXs1ek6gp13PDYdbha3Tx/14sIgsBNf1iHZdr4lB5rvr+K2DdW8PydL+LpSmregYFUzdJ5bBe+rhbU1mJCzl7CQwNEAx583SewNV7GUPMevJ3NaIuq0OSX4O8dn3LE5ZG46x9HY29PPDuq8R85lsyS+uinzi42py/Ws/Y/16QIvVxhrbOy6psrWfXNlUjxBLse2c3hpyfX5ey+HR/LqjScD0iJGP0DmTX5YdoIpa0QbU09Q+9tJOZ149r5HuGBUc4zk6EQuUyFTmEFEvT5cu91nisuyophAF11Hba1N5CIhBHk6S2WBLmIMr8IKRKh9MMfB8A4ax4A1hVXICjTtdSLGY5wejOUqBRCLqR/DkcotddoAglnuBtRkGNWFo2MD1sDJmUR3uggAsJpV1PSEvBGc2tOHvFFmHnb9HNm8bI15LPq25emnKd5xxCXfbSUK+6v4IYv1GQUAEBWd8q5oPrKKpY+uPisj7fWW1HqlSz67MKc5purTdStq2XuvbMnFADDkKvlNN6X7Mmg0JspXraO4mXXodBmTmYIDHRgm3sZxcvX4Ty2C+v0xZSuvBmlwYK/ty2nawIYli5FVVae7BV9x50p/58tbnx83VkJgDMhEwWWfnExix/I7Xv//4VIxMfc6XeOm34esffj2rEF+5svMbTt3RQBANDu2UebezedngN0eg7iCedON5ErLlpLAMB37DD+U81oyioJdrWn7EvE4yDFUZeUI1OrQZChnz4bz6E9KCx5ROyT01Zq7vgciXiM9vWPIkUj1H38Kwzu2kjxmltIxGN4247R+85zxMNJwrG8BZeRN/9SFEYzUbeT5se+D8DMz36Hjhd+j7/rJLP/6WE6XvoDnuYDaEuqqPzQJ2n6xb9mvH4kniG4lkhkXHjDUrpvd3hMLSZdH1IijkGepKE2Kwuxh9owK4swKQoYCvdgUOTR7W9KO08mGEoNLPtShiY5CWh55SShoSBhTwSlXonWpmHadbVZz1W2vJQ5d83i0B+TnDJBb4z//vQhauabiISy588fevJwUoBkQdQfxdHsxH5kkLAnjKgQURqUWGrNlCzOnPsNMPuuBtrf7aBv7+S127x6KzNuqUdtTlJTnHyjFU+HB4VOQfWVVegK0mm8Z354BqaK1AW8d3cfffv6KWwsyJinXntVNdt+vIOoz0Xv9tG6Aeex0RhTyJlcPIL2bk69/Bsg+Y60v/kEgiifdN2Ad8cOzJevxrVpI5HubiI93SP/nw2M5UY01uz1Ku4OD/ZDdoJDIaSYhMqkIq/eSv7MvKza+9x7Z7Pr53vO6n4uBORyNQeOPYVKZSIUPjtyvWg8yNiqFJWoIxyfOLYzGVzUQkCmSj40UiS9KtjUuBiZUoVj8xtoK2oQBAgPDmBecin+lhzNxNNBJZlSTTwcpOOlx1OaRRdfcSsnn/ovFAYL5dfdRWzZWvo2v4R13koKLrmG3neeI9jfiaaoAuu8FTj3v0ewvwu1rQR/10kiQ3a0JVV4mg+gtpUQ7MvOCX5mhejkkfqi+GJOdAoLCpkKrdyMO9KPWVmMUVmIRjQgCgo8OVoCa/9zTUrmRMQXYf+jBzn5+ikCg+nC68gzTSz89ALKlmemx238xFya/nqcWCj5XUeCcY69P342y6k3W1n4mQXoi0b5oLq2ddPxbifd23vwdHuzunWm31zHvPsbU44di/mfbOS1z2SnccgG22wbefVJQTvY5GDTv46SHu7+5V7W/scaSpelfgfD8wFCrjBvf3kD/QdGtbtMriVRJVKyuJiOd1MtwGxIxONnbE/eitIvXJhCBncukKvlXPkfqzPuO/Knoxx++ii+vswLm9KgZOat01n02QUZ9xctKMxZgD9/54vjWrOlS0tY+sV0y/Bvd0w+GTvsiVBQZMGgK84YExiL8WiuE2dUY1eaFtDs/B8SEwDQ1c1EmV/AwBvrUZitmBYsR5lfSP6a6/CfPE7epWuRG83ITrt+3Hu3UXH/g7T+/Ps5nV+KRZEp1VTd9ilan/k5CSn15Qn2dxJ29BN29ONq2ou2pBqAguVrGdy1AVdTUgsJOweY8Y/fSgqBvg7UtuSL7zy4HWPdHAA0BWUE+3Pvfzse1KKeYCy1HF0lS2qdoXgyE8cTsWNWFo0EgF2RfsyRAayq0tP+RXIWAmMFQOfWLrb8+3sEndmbbww2OXjj82+x4B/mMf//NKbtVxmVTFtXy7HncvdvSvEEh58+yrIvLWawycGxvx3n+PqWnI49vr6Fto0dXPmj1RQtKEzbX7K4GGudFWfL5NIqZaKATCMn5Arz+gOpbTPj4Tib/m0Ld715e8ZjE1KCN7/wNvYjqdQGx9e3ULW6krJLUt0uRfMKchYCUwHf3tHUS/eWd1P+nyyWfnExlpr0vhauVhfbHx4/bTrijXDg8UNUX1lF3vT0BkuX/dsKnrv9hZTkhWwYOjW+Nn4mcdzIcSfPUosfJzBsnLcIy4rVKPMLxxUCgz94mGmWFSMJHzql9X+OEJBiMdx7t+NrTroNoi4ngxteYXDDqDnc1Z5KkmW78gY6Hv0pUji37kBKcx6FK65BabSkCQAAf+do27d4OIB42jKRaw0E+1NfSLnOgKjS4DzwPnWf+Gech7YzuHsj5oaFaIorMc1cQMtjuQmn8RCRgizIu4HtA8/ijyUfzmnGpRRr6+nwHRzJJOr2H6FM10C1YSGDoXYCMRcd/oNU6OdQrZ+PNzqIJzI5/+LjK/+Y08s2jL2/2c+RZ5u489UPIypTOVKWf3kJx547zsyVVgLuGO2HMnOs6EQTVkUpntgg7r/FefVvW/HEBrEqSlHLdBQoK+kIHaVYVZu0bmIO9KIZd2wAUVBQoZ7FYd9mwu4wr3zqdWqvqeHyf093Ky341Dx2f/Uw8UQcb9xBmWoGPeFmpIkstAT87fb1hD3pWTehoezP4Ysff4XBJkfGfe99fxu3v3RbyljVmkp2PrJnJO+9qmo1bW0bKS9fgYCAIMiQEnE6O9+jvHwFsWiQSMSHwVg6Mq+zcxJU6VPEJHDtL69Kc8dFAzFeuOcl3B2Zf/NMWH/3SxTMsXH9765NcQ8ZSg3c8dJt/GndX5Ci2X8rbdW0kTaOtivXMbjx9TSLaarRa8/O81P0oY9if/MlXNs2k5Ak6v7tx7R8+yEU1nwKb/gwMoWCrif+GykSYWdwNGNSLT/35IgzcdEGhr1H9o0IgFzR89c/5NS4eRgxv5fejetpf/5RrI25843HAj40RRUpY1Gvi3g4SNTrQopEMNQkU98Cve0Ya2chRUJEfeduXh9wvI5MELmk8E4ardcw07yKacaleCIDNLtHydo80UESJMhXVeCKJM1lf9RJPBHFqirL2QoYi8kIgGGE3WFa32pLGx9Ox2va6swqAADkgpKw5EcnmokTJypFRsZCkn+kGEcrM9IVOgYkUAgqYoko3pgTbyx1oW19qzWjFWOts1CoqKZSPYt6zWJ0MtPEAgBwtbvHtYoypb4GncGsAgDA1+cnGkjlJ9LakpZeIiGh1dqIx0ddpOGIl3DYQzQaoLhoAXK5mlgsRCjsTpl3vvDon20Zx22z8jPGYw49eXhSAmAYA4fsdL6Xbk2rLWqqVldmPU5hsaIpr0Rf35XH3FcAACAASURBVIB++izUJRVZ514ohHu7GHpv44i7JxFN/t5R5yA9z/4eRZ4N66qrMChtzLKtpcq8CKumjKg09e0vL1ohcCER7O+kePWH0FfW5zTfvuMtbItXY565EJW1AHPDIgbeH6UODvZ3Ypo+P/l3bzum+kaCfVNjyjvCnWwbeBZ7qJ18dQXlutmc8Oxgh/05YonRFz6eiBKIuREEGe5IkpwtQQJPxI4gyPBGJicExmtSMhG6tvdk3SfKBWRidketWV50elGPoJHpCUm+kTGdaMYoz8MozyeWSL5EAgKRRAiropgE0oibbBhSPMHAwXQLSG1S0Ro6yIngHpqDuzgezK0t5tCJZBqyqq4SZXVZ2v5MMRP74cG0sTMRdKS+7KJSRKFNGu6BgH1Eq+/sfI/+/gP09e+nr28fff37aG19B52+kPz8GSnzckFljZxrbxr9zsor5Vx5rQaTRUZhsYitMGnRVdfK0emSv1s4lNlqqL+pLm0sGohx9M9nT3vQ/EJmF+Bw/UYmSKEQolaP3GhGrjcy8NaLU2YFlC254ayOizhSnwEpMmpJSqEQgZPNGGY14o3YOWp/m2DUTZVpMZeV339O95sJF6076EJj4P3XKb/hXk49/VPCzvHdJI69W0jE4xRcck0yO8gzRPOj3xvZH+zrwFDTAECgpw2lxTYSP8iEbFW7G3p/l3HcF3Ww3/FqyljtNDl33mngO/8+mte9pe+JtGN32P+a/YONg5Nv5NbSMhMGj2Zf9Bouy0OtF9n1YubgXnvoEAICNZp52KMd2JSVtAb3IyCQIMEhX5JJ1BNLXsMds+OJOUYC7S2BdJ+z47iTystTtUGFTkEsEUElaNHIkiZ3UJq4KnY4f19ZWQJSgkh7T0oFqL/fn5YlNJFvGiDkCmEsTzX9FTrlhKmyw4SQHR1bcq6WHYbBKOOfv2nm979Kfqb6mQo+8WkDL/wlwLf/w8o7rweJhBO8/mKAGz+s45XnA5w4nplRVSYK1FxZlTbe+V5XRtdZruje0UtCSqRlDJUuLUaQCRktr3gwgHP75nNqf6k2FyAqNUR8Q2jzy3B3HMVYNh1Xx6i3Qqkzoc2vIOTqJ+ROriFKvYVEPEY0mPosyQ2pGWJjG/JA0kshN5iwqMuYXXA1/b5mjjs244+evTKWDX//QkCAwgXFlCwro3JNNQqdAoVOSUJKEPGG8bS7cTY7cBy1M3jEjq/HiyJPj2PfVvyDTYgaJaJORUzs5MSfvk/UmQystjz+o5TLDLz/Roq27zzwPs4DSfdL7Yx1qXO3vcnAtmS2Sdg5wOH//BIToaZGzpy5clpPxTl4MEpxscjcRgX790Xo70++zKWlIpFIArtdQhBgwUIFJSUiL72YqjVOny7n+PGpzas/s3L1TMi0atQ1RQQOp88LDGZnNHV0BalbOn7ueIIEraGDaGVG2oIHR8ayzx9DG5BhXtideRGSC0ryFWUICFjkRRzwZ29mNIxhTT/c0o6i2JbGrR/1py+SudBoZHK9iWMC9PrKepTmfCJDdqRohIQkIVMoUZrzCTuTAlVfNR3vyaOo8goJ9rYTHhrf+vN5JZwOiUtWqdm1LczqqzQ88wcfB/ZEqK2b3FJhm2NDaUivcel6/+xSTIcRC8VwtbnTAs1KvRJThRFXW2aX67n2Py6auwZvTwsVl9zKUOsB3B1HiYcDlC6+geZXfwmAoaSeiN9FxYrbOPnWY4gqLaWLrkNUqmnd9EfikdH3VFVYjCCKIxZJuK8bUacn7k8+G+riUqRQkKFQF3t7n8esLqHavBiFqGJf34vpN3gO+Lt2B1VeUc2Hnr+dtb+4jln3zEVfakBlViNTyBBVIpp8LYULi5l552xW/vtq1vzX1QAYZie1wPy1c1EWmjDOryYejlLz0I3IlOM/7Dp9EXm2majUyYfQml/P4EAyJVVnKEYmSx6vVCW1OJXajK1wzsh2JhiNMr717wbsAxKlpUlze+WlSgIBiZ8+YkatFigrF/nq1wz8+D9NGAwCSqVAfZ0cv390kUskYMVKJXd+ND0//VwQdATHXbjkZj0lX7qVgnvWJgeEVC1tIu115e2lPPjEfD7z2/RMomFIiTi++NAUpNJCJMPCDBBJBOkMN9ERPkpA8mQl/xqLkDMpBOT5FgJ70mNYw7QSY5HJRZR2XIYg51haA6U5H01ROQpzHtqSKnQVdSgMZvxdJwn0tKErqyERiwIJRLWWeA78+okE/OsXnbzyfFJo+3wSBkPymnqDjFg0wXAPFEve+N9NyaLMtRl9+86eCXgYriyW1HgFeIaZc5EbTVTc/3mKbrpj0tcUZCLOk/sIDfXh6Uq6s/z2zrT0W29PC357O0q9GXNFA6JKg1ytQ5uXmu0lU2vQ1Y/2BvEdOUDFJx/EdtUNlN71STSVtQS72jCqCqixLMGsLsYXddDuzt6n4mzxd2sJ3L198r6xXQ9vAxjpSKUwaUb2efa2Yl5Ug6rEQrAts8ak0eVTXn0ZCqWeQ3seA8A52MycRfdzyPkooYCDGY130LT/aepn3cqQowVr/nRCQSflNas4dfxVXM50Xn6PR+Keu4aYPl3OQ18x8NprSY1hy7sRVq+OUlWVtAo2bQrz3F+TC8hHbteg1ghseCeM/PSvaCuQsXq1ii1bzt7czoRTGQK7YyHIRSR/iDhgurwR96YDOZ+7p9nPd6/Pzf8+ZRgn8yUZazBxKrQ/J4HjtwfGPacUSz/HMA3HuLcYTz9urAvEeeB9GOdrtu8ctWJC9p60fPNskMsFujuTC9tTjyYFv0ol8OufJgO5MlmyleI3HxqlZPnMx9LdfdOuS+/W5+7w4O0+d+K5bDUFtoa8rBaraeEy9DNm0/HoIxTe8OEULTxXJBLSiItNqTNjm3kJanMBpYuuY+Do1rT5g8d3oC+qJhTw4BtILXYd2zsAwH/iGINvv4yqqBTf8SP0rX9mxCo4NPD6pO5zsvi7FALZiJ72/WIX7lYXEW+YhARKo5K8mflYp+djrDQxsDcZILVd3Yi2pgBl4ahJWfGpK1FY9VkFAEDQPwiCQPOR5zLuj8cjxCJBCksW4LQfQ5JiDPQdoL97/KrG8gqRz35Wh8eT4OTJUc3iG980UFAgcuxYjLa2OA//l4nly5X8y9c8tLfF+fyDeoqLRX70w+SLNWiX+N53vfzkETPvvD11giDkClE2J0mO1nUovagqOujG/tQ76BdNn7gH3xmomG3AUqym/aCH+/5rFg9/dPKajkwhw1xlxlxlpGBuAWqLGqVOgUKnQFSJqAwq5GoRUSkiqkTkqsyPvUqmoUo1F1d8gGJlLU2BbRNee9htE/f6UZQVEWmduBZkvFTG84FcBQBALJYgdobhNswiCklvl5QD2Z+uML0wz1RhPCsytlwhqrMvZz1/fXIkddy59Z1JC4DWTU8B0PbuMyNj3btfpXv3aGzO0ZKMP3XvGk1jP7XhyayU0WfCe+QA3iO5K1BThb9LIVC8NJ2/ZM8jO2l6Or2vbPd76Vk5x776NIIoIxE7XYBRV0znYxvT2hCeCUEQ0RtLqahdw6njryKXayipWIZWZ0OpMhAJe+nv2cPMxjvZ/d5PkKQYM+Z8BKOpHJmooOXI8xk7jXV2xPnXr3tQKgUCgdGH5fvf8xE5zdAYCiX4zKddyGTJF3HHjgif+PgQsVgCSYKTJ2IjQeHPP5A0l42qAirNi2l37RppTzfgP0G1ZQmtQzvJFVF/lEjIixSPZn2gowMuhl6dvEZvq9TiGYxw2d1l/Okbx1FqRCLB3F7QBZ+aR+nSEvKmW9PqEM4GKkGHM9aDPdqJTmZCQDahNSDFkt9FtsBwJpwvKuuLCVPxe0z6mopxrilJ6KbNQAqHCHa2XbB7Aqas5uJ84e9SCBTMK0rZth/szygAsiKRGBEAAFIkNqEAAKioXc3xg89iNFdislTjtB+jtfl1WptHzTX3UBvbN40WhR3d/xQyUZFc/Md5GGKxpBY2jHA4MSIAxmLs+pJp/1h4wgN4w/14wgNYNWefGx0NxggO9aI22jJ+BnVtCQqbiWBzN6Vf/jDt//JozufuPOLltq/X4XVG6G3xI8rHZ6mTKWTUratl1p0NGatQzwWe+CDl8hnUa5bgjPXk5A4azsbJFhj+X1w4COM8OsW33k2gtQWZSo1p/hL6XsiNsn4YRlMFRSULsPcfYsh5irz86ZittXS0bsRWOIdwyI3ZWotMJiIIMoJBJwFfP47Bs2P9VObZ0DfMxbklMwX7VOLvUgiYq1Nf/o6Nbed0Pufm3LiGXM6TFJcvRUrE6evOnY9eimcORI6HF1+Y2qKQqBREozCjV+ZjUNkwqgqQEhIyQTYhM6EUiYMAojIzAZiyJI/YkA/LuiX0/fdLyNRKpFBuRUoDbQF+/6UjhHxJCykeyy7YShYXs+JryzCWn792oL2RUygEVe4HnBYCkfaec2ZZ/V+cP7h2bsF/MtmZsOCamxHk8hSesFww5DjBkDPJUuAYPIZMJkejzUetsdLTtQOZTI5WX0A8FsE1dAqtLnMRXS5Ql1WSf+W6/xUC2aArTs20cTRNXHwzFXA7W3E7zz5f/kJgzkI1tTMUtByNUDNdScvRQ6y9TI9W30HTgRauXqem5eg7ePomJ2SU2uyZF54thxB1agJH2iZt+urMCu7+3gyObx9Co5fz2i/bMs6byJfsbBmie0cPLS+fwNPlHbe6edadDSz7UjpRmFZmxCjPoy8y+d9YtBhJhCcv7CcLmVqDqrgUUaPFd/QgglyOsXERxkXL6Pz1TzDMmY8gl+PZtwtlQSGRgXPPxpkqOFucnHg1PTFiys5/Inv/kJjfR96qq5DCIQY3vTFpAeBxp5I/CoIM++leAR53x+j2GH3K581eJDkR5KaptXLHvdYFu9JU4kyN6yL3uV1INC5R8cdfubnjkyae+Z2bu/7RhEIh8PjPXHz6n62cao4wY66Sg7snJwTCfidKTXYNPBGX0M2fhhQME2zKzpZ6JuqWmNn8x+4RFtFMTWWysZEmpATNL7Zw+KmjWfPDJ4My1XQAjJok6V5zMPee0PEhD2JFdsrqqYIUDqGrm4Fre5JELBGPk5DiSTp1mQzf0YMU3f4xvAf2TFoAyPUGRLUWZDIijgE0JRVE3S6inuTial1yGb6Wo0SGBlEXlRIP+Il6cs+/DwyGRijEz8RHHyrj/ZedtDVlrynJdMzTP86NlDE65MTXdBAQUBjNhEPn1hf5zEK88QrzSu68b9LnV9rSiQ7PF/6uhIAgE1BbNRc06FS6opySZWVYZ+RjKDWgMCiJB2P4erw4mgbp2d5F93udGVMBR+77tNA6W1klyARKlpdRflklFaurkGsVp4vhIvh6PDT/tYme7V2E3WGGBiWuvVWPYyDONbfosffFsViTGTsnmiLojTIO7Zl85pDOUkosEsgYGBYNWoofuAn/oVZErWpSQqDrmI91n6smHIyjMcg5+m4qp45MFFj+0LKMx7766TfOqg9ANkxm0T8TxmsvRVlezOBv/jxl95MRiQSeA3sovv1eOn/7CMb5i5GpVMQ8bgSSQiFiH8C8/FKG3ts8qVPnr1gLgoyoy4EnFASZiG31dfS88BTmectQF5fjazmKafZCEokE2vk12De/RjyQnrKZqapXY0l3s5VN01BYoUIYk1S29GoLx/f6cNmjCALUzdcz2BPB2RfJesxEKL3zPkJdo8+l/e2Xcz/4HKGfMfuCXetscFEKAUudFUudFa1Nh8amJb/BhsamQ5Onydhg4qpfXz/hOf+89kki3tzJtGRyGdM/3MDCB5em7RMVIlajCuuMfOo+NIOQM8hzNzyTMbcbYOFqIyG/xOEdPu55qJg//aSPWHR0IR1b83D4DwfY/6vReEPpinIWfWEZhgx+cE2eBk2eBtucQhJSgs1feZtX/tIxkkE0/P8w3nrRh0yEDISpE8Ld34K5ZGZGSaadXcXQqzvxH0j6SwWFnEQ0N3N7sCPI2492MHdNPiFfPE0IVKyqSKNPgCQH0NkKgLGVt2NhlhdMnkX0NDyvbUFRev61N4XFinHeIiKDSb9D1OnAevnaETp1AM+ubZR/6sFJC4GY34sUCRNoP4m6qAyF2YqoStbSKPNsBLuSbjJ1URlRzxDRIQeCmHkJCTpDaPM1KWNqS3pM6Y5/KuWtpwdovNTEey86sZWq8HlifOp7VfzsS6eIRhKUTVPzsa+X86+3NlFSo0455qkf5mYJON59i8Cp3KjHx0NhgxVrjRFTqQ7/YAjHSTeJeIK8aSbsx10UNlgY6vDRuTP12fQe3IvnQO5xRGPjIgxzM/dQmGpclEJg9r2NVF6ZXmxyoWCsMHHpd9dgqUvnL88EtVXDNb+7gS1f34CvJ7UYprBcSd1cLdGwhFono27u+NW8Y/Or539mEbM+lr2KdiwEQcBxLBkbGV74MyWqnI0AAAh57HjE9DafAKHWPmx3rkYKR5Bp1fj3Tu5l6z7mo/tY5ork6gz8MwCHn0p1K1Q1Gimp0/H+X3u54r4K3nmsg+r5Jkqn69n6TCpVgcqUOfBbqKhGIVMRkYIIyHIWAJAkkBubcTYRlPk2pHAYTVUt3kP7cj4uOuTEufGNkUZLwbaT9PyxPcXHnUhI+Jtz6xqXDQpLHmP9roG2FkyNS/GfasbbfBhddT1SJJzGeTMMV6srTQjoCnWoTKoU2o7Nzzs4sMXDvFXJYrSFV5goqVZjsMqpatDStMtLPJZAaxCRiQJzVhjTjpkIhtnzMc1fgsJoRjr9PXkP5/6dj0UikUBtVCJJCQ49d5L5d9UjyAT2PnmcRR+fgaXSiCQl6DwjAzvU04n/RO7EecrC4v/ZQiART4ybS32mNZBL3nUurhhDmZFrf38jSkPqIhEY8NOxqY3Bw3aCjgAaqwZLfR4Va6owlCY19LyZ+dz8t48QcoV4/b4XR4RBf2eElx8fRKURGOyNsnvD+A+ubW5Sm6y/ZWaKAAi5QvTv7sHRNJh0i1nUmGut5M8pQKFVcOj3+wiOw9EzFchWdBTtc9L365dR5JmQAlNXpCZXy6lZW5U27uv1setnqQV4eWUaYpEExdN0lEzXUTZDT2G1lmiGlpXZYgxjmUPlQmaBlw2JSBRFsS2nYjFIds0TlCqiQ9kppbPhzE57ZwY5Y24X/c8/g2g0EPfkXqGrNPYiN6hRGAzIdS68JwbwHGmm9Ia5KK06wo69aEqVSGEvKksP3hN2DPU24v4Iok6JrjIPz9FeAl1DHPrjkYw00o0fn8POn45qxFfens/0BXrK65ICY8OfB7n7n8voagnSss/HjIUGVt6YR8ATRwC2vujg8w/XpBwzEbyH9xE4eZx4MPl+yFQqdHUz8bdMXlAONA0x2OxCiicXlH1PJTOOBJnA7sczL/JtP/vBpLu0xVzOC5ZufFEKga3f2MTWb2zKuv/6p2/BXDOarfLWp19h4EB214AgiiP53FnnyAQu+cZlaQJg3y93c/SpQ2munra3TrHvl7uou2kGCx5YjEKfNMfVZjWXfGMVb336lRHhFPDF8ef4LmptOsy1FhZ+MemGchy1c+A3e+nZ0ZWxfaJMLmPZ1y+l893c/fBng7zK+QRcvZQ0rKG3aVNKIExZmk/Rp64n2JJcAO1Pvj0l18xEQAbgH0gXdnte6R9hkXzyn5Mvd9cxX5rCoDarsE7LbOHJBBGVkLTUipQ1tIZyr94UlAoExSReJ5lI+DwXLakb6vBvz70CW1CIxAMRRLWCsMOHeU4pgkyg/U+7qLxzMT0vH6L81gUorVr8bQ6M0wtxHewmHowiahQoDCriwWSGVO/uPmLBGHJN6ndSt66WPb/aN8Kp9P37W5ArhBT36FM/6iISlkhI0LTLy4/+wUf0dE2M3x3PeMxEKL3zfqRwiL6X/kLeZVcSGejjzEjG8MI+ETLNG08RHXbdAeTVL0aKxxg6md0Skau0hDs6af7Wl3Oaf674uyaQyxWahhnoF84fd07DXXOwzUn16SbiEkeeOJDV108CWtYf4+3PvZYyXNBYSMPdc0e2F15u4NIbckv5kilkrHn4akSFyLFnjvD6J1+iZ3sX5atrWPvYLZjr8lLmSzGJ97+1Geex85smK5MrsJQ14O49jtpYkLJPVWbD8dd3sT/59pQJAMjMnwOM9CZOm5/hRTxzrOaq6qz5/GaxgDLVDGyKcgxibq7AYSjLThcwjlexNHa+rRCFNR9RP/WdooYR7Ztk4yApcdraS6AwqJMV0EMBiq9uSCFW9J20I2qUuA/3IIgyzI2lCKKMqDuIuTFZzR+PxGnb0J52CbVFnebiO3MxDweTAmDkc2QoipyMAACwv/Mq/a88h2HmHGQqNUM707l+MjG+ng+IchVq0/A7JKArrMJSMw8AuUqHbdal5NUvwVTRMDLfXDVnzDFTi4vSEphqxBxO1HW1486Z9bG5aWP7/3t8zp9hZKpTmPOJeRx5IqlJ9ndGmLNMn9O5ALSn4wK7f7J9ZKxzwyk6N5xKEwIXCkFXHzGNEXPpTHqbNo2MG1fORqZWYr56EfJ8I4lIDM/Ww1NyzbA7nLR+zlhXVcZJFHONgagUafz4nKz73XE7rtgAEnEcscnleMtMp3/fHFPAos5B1OXJRijeA7k9Z5OFqrKMSEd3zm6F7pcOjvwtCMKI9Tz2787nkpbFWO5+z7EkJ5e3ZSBFcB/96zGmrUt/7xY/sIDOrefWV2CysC5fRTwURBAEVIUlqEvKCPWkuu6yUYxPNcw1jVimLeDUm4+RkGJozEVEA6cJ+uQKRKWaWNCHFI2AWoe5ppH+AxsoX3kbp958jHh0agtJPzBCQFlcREKSiPZnrn41rFyOtnEOiWiM/l/9Nv34M9xA/j4fx57Jvb2l/WD/iD8fSDODr/loHsuvNhEJJ/jWJyYumPG0n3ve+1RCkMlQ6S10H07V9AWlnIQk4dl6aGR7qiDFE4Q94bRArqXWjKgUM9I0j4dFn1kw0qYxE+SCkkJlNb74EJ745Cwr9/pJVnZKEqJWR6ijbXLHTeYSweBZ+5XHuk8zuVIzWl1nWG72w4N0betJi8FobVpWfn0573x1U0YX5/nAwOvrEUSRiMOOIIpYV16RJgRGGGHPM4ZO7kVtKkShNxNy9ZOQ4mht5Xi6jhHxuwi57UT9Lry9J8gzLGbo5F68PS0YS6ej0JuJD/VN6f18cNxBcnlWARDp6aX34Z/heu3NjAJAoUsPAr7z4BvET/MJWWuTrhxzVfZiqXcefCNtUTJVJY9rPx7igauP83/vOcV3PjlxNWo8EueVjz0/4Ty5RsGNL90DgL7MxI0v3YOhwoQgEzBVJ2MmolrOza9/HI1Nx1V/uA3LjGQpu9Kg4vq/fXTCawwjW8Wwe8P+5L9NB5H8YQxLZ+Z8zlyw79GDaWOiUuTWv9yc8zkWfXYB9++8l9l3NYw7T0BAJdMkm9vLz2/hlxSNIDcYUeTln7dr+Hdmb3R+ofDG599i76/T76NqTSX377yXwnln5+LQ5muov6mO+3fdy6w7x/9dAaIuJxFH0j2WiMdxbE5nww0NZdawr//ttVNamySd7kEgIKAvrMEybSEyuXLE4g0MtFMwexUli9elzB8+ZqrxgbEEBIUc4+WX4tm0JW2faDSQ/9GPINPp6P3PR9IKnvJnpT6IQUcQT/toJWTjPTNxNA+hzdOw4xf7M2pBsWAUxxE7BfNHye1scwtwt7nIK1Lw1V9WoTWI+D1xvnLr+CmUzuODOTV1t860EfUlM0V8XW76d3dTtLSclo7D1Nw0k30/eZ+KK2qx7+8laPdjqrWy8odXT3jeTIgEhgj5MmvH2oZKij5zI95tRxl44q2zOn82tL7VyuIHFqS9hIYSPeZqE67WcSwmASpXVaS5gKSohCxDrUCCBLFEFBliWm/iqYbCYk2mDR7L3do8V8hEAW2BDlGVvqCJChFDqYGIL0LUHx23+HGy2P/YQQrm2Ci7JJ399/rfXkvPrl5a32mnd1dv1gb0tln5mCpN2GbnU7KoGHO1Kev1Fn+kgoQE1nItAy1eNGYlrp4A+ZU6RKWMTb8+wSX3VJNIwOE3e/EOjO9eKZxXwLrfXsP7P9jOYNME2VxC0l2ZzbXkaE4WJI4N9J58s52EFB9ZkwKObk68/huA5PhpdO86PwVuHxghoCwqyigAAFQ11bg3bEbXmFwMBIWcRGQ0CJQ/O1UIeNpSS+EPP3scR/PQhNkD7jbXGUKgkBMvNjNzoY5nf9bPtDkaVFoZggzGa//qPJZb2mAikcga5Ky4qo4Dv9hB9Y0zOfpY0ueciEu8/KGnzorKWGsphUSCgLM7rUQ+cLSdru//Cc30cqw3XULfL6eu/V1gMMix545n1PZueeYmOt/rontHL65TLsLeCBqrGl2BlsLGQkqWFKf1941H4rz22Te5/rfXpp0vLAUmlRF0LvAdPYSmqpbiOz6Ov7kJ987cGsFng8aqYcYt9Sh0CpR6JUq9An2R/vR2cuxMF+VYGMsNfGT9LSPbQWeQiC+apBE/LRh8fX4ivgi9e/ro3Z27SyIhJdjwtU18bPNdGfeXLC4eSSeN+qO42t1IMQmFRoFCK0dpUE4qDpQ4/Z72HfegNijo2D9E4TQ9kgTxwOiiGnBFqF5o5eBro/GfgUN2CuakE7/ZGvK56YnrcbYMMXBwAE+3D1EhQ66RozIoUZnVaPM05Dfk4R8I8JcP/Q1BoUSmUiGq1UTdbkStlrjfh6jVnf5eku+RFAomew4nEsg0GkSNlmD7heMo+8AIAdFkzGoJRNo7sNy4DplGg37JInw7Uyv3dEWpDTDcZ/jjZQpZTuljno7U4/SnawgGe6OU16kY6Ipy2U1m5HIhY8bDMLKZpWdi6JgduSbpytKXmShcXMbRx5OBO8ehPupum4XaqqFvZ7KngrfTzYy759H0RFILMU/Lw3UiN4Hjs7ehNhZk5EhRVxdhWbeURDROpGvqzafjEAAAIABJREFUs5T2/vZARiEgyAQqLi2n4tLynM4jxSQ2fv1d+vePz5p6IaCbORsSCXqefgzlFLiEdIVaFnxq3hTcWRIaqwaNNXMevlwtn5QQgGSL0Z5dvRlrB8ZCoVNgazi372P3c6M9RGQyAUlK0HPUnaL8vP9kKzJRSHuv3//RDm743bUZrSUAa50Fa934PbGHocy3YVq0jIhjkEQsSrinC+P8xSgsycyzUHcnCms+UiiYtAy7O4k6By84F9oHRghEB+xEenoxrV2D551NKYVNsSEXQy+9hnZ2A2SgnTgzKBzxpppylmoToaEw0UCMgCM78VTkjGyH4Tz34/v8nDoSIBpN0N8VHlcAZLo+wPLvrEVfZkShURByBtn7n1txnXCw9aHXuWH93UT8Efb86F28p91YJ54/yiXfvYqjv98zEnzb+pU3mP/gcq5//i5kchmedhebHnhp3HsZhn+oG/9Q5ibhodY+en/+Qk7nORtEvBFCrjBq89llBUFyEdrw1Y10bTt7ZsepRNznRVNZgzIvf9L0Dn+veP2Bt1j46fnM/djsjPQv5wPDXdAyWb+ZFDvHMQdbvvM+l3/70nOmBtdU1iQzfOJxpEiYUFcHSlsh4f5eYNS/n4hGCff3kohEiDoH0dbWA+dOcZErPjBCQFAq0M5uINh0HHlhAdHeVE1FCgQItpzI+LueWZQUC6bmoXu6vBTOOc0s+Wp2My16xnHDJmwiAXKljPp5Go7vy62/rLU+qS2ISjnmWjPNT+1DrpEjRSWkqMSsOxs48vRhwkMBXrr5j1RfVYPOqqKgsZDixSX07OzmvYdewVBqxDanIJllY1DR9PgezNVm7IftaZbLxYwXPvYya36w6qy0REezk43/8m6KhZeJ4OxCQlVcSsRhR1Rrcm4/+PeOhJRg9y/20rahneUPLc3odpksWt9uo3v71Ar2k6+fIuwOs+rbl56T4uHasRUSCUxLVxBoTlYTe/btyswoOeYZcO+5sD23hYkqaS/ITQjCpG7izIrhNz/1MgMH+lGWlxLpTNdWtXNnI4XChJozS9crHrmG4iWjQasDv97Dod+PZjTMuq2OwGAQlUHJ8Vdas/rUK6+o5tLvrhnZ9vf5eP7mZ1l+jQm/O86yq5PBrD/8sJdwcNRSGUsgB7DzR+/R/LfkQ1N9VQ2CKEs+IAKcei1J0rbgs4s4+Ury84gqOYXzi2h65ggz75iFUq/E3+dDikv07uwh6AjScOcsEAQGDvRjLDcixRO0vXX+uN3PJ2SiQMmSYho/MRddgRaVUYVCp0CKSrg73Hi7fdiPDNKzuxf74QvTa+JsoSouJdyb2cL6nwCFVk7xomIK5tiw1lkwlBgwlOqRyWXEgjGigSjRQJTuHb242904jjuxH7bnXN07FahaXUnBXBu2WflobVpUBiUKnYJ4OE7YGyE4GMTX78fd7k72s+jMnarjXJFIJM5Zk/nAWAKGSy9BVVnB4B+fSRnXLZiHTKXCsPIS5BYziWgU/97UlLUz3ThybWrKaPeufpR6BcZS/bhB1WH//Mh5T2funDgY5GNfKUZnFAn64ikCYCK0vnkqpTBnGPt+tSdlzHk86dtvylLbcPRPo+OOY47sVdDnAFGtoe6h7447p+XHXyeeA5e7UmdBn1eO195KNOhFqTURCbjRmIqIBt10besh0J2fsp9EAlGhJhJ0IyrUIMiwlM9hqPMQcpWOwvoVCIKAz9GJqzu3bnKWMg1DXcn7XXBzKbGIxMFXe1PmXPfQDF79cWbemGz7LCtXA6AqLKbvuadT9glyOdO/9qOR7Vy/s1yhNKpQ6FT4e5OZOGVXTqPr7RNTdv7JIBqI0fFuJx3vpvcCv1jQtrGdto3p1c8XAmpTAba6pXTuzs1tezb4wNQJBA4ewf3WhrRxQaEgIUn49+wb2T4TYU8qIdeZmQiudg8DRxwceGp8FkCl8czYQvK89p4IT/5HL3s2efjpVyb/sOdChzCp852lAFCgRLwAeoNKZ6Vi3jpikQA1y25HVKipWnwLKp2VsrlXE4uGUOmsKftNRfUYCmrJr12MUmfBVFRP9ZLbiEdDiAo1MlGBXKlBiseQYrlVhv6/9s4zzI3qXMDvjHpZSdu0vXjXvWMbY5tibDoh4FBDAnESYgKkcJObRsqF3JDkQgophJ4EUoBACN1gY4q7jRvu9u56vb03rXqZmftjvNLK0u5q3eJgvc/jx9LMmaPR2dH5zvmq2aFj9pJiJi50RnfwBrOWKRfHggLHnZvD/vdVQ7M9z4ijwMSUi/PIGRPvbJA3LgNLVkzt2LvufXrXvU/P2sRn9mSitxupvH4apZ+YQP65ZSCoi5fChWPIKI2lNim6sAJjtupZZXJaMedZ486fDHI/OYfxD94y5PuPA+asmMbBnKkayQ0Z2WSWxTIWmDILMGUW4CiZEnetyZGP1ph65oFU+dgIAW2WI2mwmGfzFjwfblX/bd6CZ3Ni4RB3Y7xu3FY6tA/ycNjL46/zNMd8nj19Ers3esgvTZ4U7T+BCZpZZAtD58xXZJlAa5NqDDsOMosno9GbyCqZjtZgwZJVRNuBNUy65C7qtr4MikJm8eS488noqf+I/rZq9GYHIV8f/v5OfH2t9LcfSuk+dEYNkaBMyBez9Uy9LJ+AJ4LBqgpDvyvMRV8dB0Dl/GyW3DeFgCfCknunYrBqURSonJfN2dcV4+uLuSUbS8vJPH8xxuLSYx2mY0Jj0KKz6pGDEpJPvZ+ixZVEvGFmfmchOosec0EGIXeQWfcsQmfV45xTzFnfWRg9byzJxjKxCF2WFfvcsSCAZVIxmRdMRpej5kIylTsxlTuxzxuHoFWnGceCCWRML1PVm4A+14YuMyYsO1/fihyMJH2vy8lAl61OgMaSbDQm9XeUeeEUzONGH9hnzSnFmKHalyyZRepOEsjIHYPeciTQUmtAZ8xAGE31mhHIm3QeRrsTQRDJnbAAc1YhRTMvRwoHELXqIrJy4a3Y8sequ9kj2ArGkTt+HpHgyDbF0fKxUQfp8vKIdPckTZ1rnjIJORgkUH2k6IlGgyLF/IW79sQLD/uYY1vxDEQIx/pVIxSLKgzceX8xVR+pYel/ebA14dr/BLKFPDoYeicjh4LUPfVrAASNFo3Zgs7moOyLd4/qc6RIiO76HXTVxlx5i2dcjqerDmtOGb2Nu5EiIeq2/Ct6PqfcjiCK6AyxlVI00nJAa6rICCkmeANwtQVoq3JTu6Unemznmy0c2tRN3lgr7TUemva4kEKxndWut1o5tKmbsQtycOQbyZ+QgbPCyjN3xbslG5wF9K59D9usuaMyDGsy7RQ9+AMAWu/7NeHm0blq+js8uBtc+Ds9dO5QDapN79TQsbUJ59nFmJxWcmcXkVHqwGA34hinTpRN7x4io8yByWklc8l83DvrKPnK5fSt24/7ozpMpTmEez1U/OA6Dn7jacbcs4Su5TuIuP0gK4hGHQgC+jw7yu4G9Hl2ipZeiGgxUvfgK0je4XdntrPGIIci9K7eR/bF0+l5bw+hLjeRHg96pw1fdeq/KefYcwgHvUSCPnLGqFXSnM55NO58G0HUUDLjCg5teBaTI5+cijnUffivhD7y7vkq+pICAvtr6HrkL3HzyXDIUgRrbjkmex7B/i4cJVPpOLgeT0cd9qKJuJoPEAl4aN+vurob7U5MmQUY7XlUv/tUyt9xNHxshIDs8yH7EvWmotmMvqQY0WhEl+cEWcG9YVNcm87d8ULA4DAy/Uuz2PVU6ml4yy+piMsdBFDz2kHOv8qB0SISCSk0HQom1M8djtyJ81EUBX93MzqzHYM9l/bd7+OccgEhdzeRkB+dKYPewzvJE0qYqpnHPmkLBsGECQutSh1zNIvZLK3ErfSxSHstB6Rt9NODjWwmambzfuQlADKFXGZpLmSXtJ4QQbKEPBrlKiKoE6kGLXqMiGiiKiEFecjCK4oUIeJ2IQdHn+yq85BakUPU6pGlMCgKTTvfTmgz+HxX3XYQBLoOq4Fx/r7Y5DjwuqNmE4KoQRA1cZGYw3Hu58opm5XJiocOAhAZmPAFAXu+kXM+XUruGAuX3j2ernpv7PyRNu1Vbt761UFuenAGq5+qpa1KXaS4tm4EoH/7UdVHTgG9+9qZ+pX5ZE8rYO9jm5BCg7zaBKh7fT/TvjKf/sM9dO9px1xgi7URQNCK9Ly3h4yZY3BtOUTmwsmIRh2uD2twfmougkYk1NFPx6uxXbelIo++9TF1asb0Mlzbaul5d3dK96xE5OgOQmtX1VSSN0DE5aNw6UL61h8c9nqNzYqutAip10XI58KaOwZ/XxtBby/2gvEEPD1IIT+WrGK0+lh8hKv1IMkSHBkq1B2cafokDOPKCRxIbXfZc3gHeZPOx5pbzq6X/w9BFCmffz1Z5TNp+FB1sx6cJgLA39tK47Y3qDj/s7TueQ9/74ldRH5shIBv1x6ct38R//4DuNdtjK6sZJ+P/jXrEPV6Ir2pF8Uet2QC+/62a8i0xUcz8aYpCccUWUFnEJEisOZ19bN1htS3lgOxDta8MURC/rgwY1fjfiov/gKH3nsmekxGolWpw6iY0Ql63EofAcWHCQtu+qiTD9CqqAYuL27McmzVrEEHKAQJ0K/04FLig8ikI8JARoq+HoxzwWUokTCCVkfHhhUpf8fhkCPDq5USzqewmk518h/g6TtiK/jtr8S8eNqr1cl85W+qWPmbqoTrVvxanZQGjML/+M6piUROhb6qLjZ8683o+wGj8J5HY4uj3Y9sRA5JKLJC/fIDce2OTrIdbO0j/+Zz0WVnIBqTqzs9+5sovftKBEGg8fF36F29j7L//iQZ08toePgtdNkZ5Fw+E2NJNlq7GdGkj74vXHohXW/voOwbV2GqyEOfp6pu9PkOsi6aRqCpJ+lnDsa6cB72qy/Fu2Eb3X/+B67WKhRFJuDuwtNZh4ICikLbgTXRLLmerqGNwcHaBvTFBfi27SZwMHUvO3d7Le72+PaHVv8VUaNlQNhUvfNE9FzA1RE1Cteu/XvKnzMaPjZCwDxtCh1PPY0uNwdtpoNIT2/0nOz1QUTCNHkiSiBIoDbR17+/wRVnCzDlmJl8y/SUdwNHp54YyL3y3ksjP6BD0VU1yF94kMqgY+8ajHYnrqYDKINWDWFFnRQlJBRF3V7LyIho0GOgX4m/F5fSjQETQfx0K600y4eZq7mY/fJWWuV6ZFKfMCNeNz07N+CYcvaxft3TEil8aqo7nWrkEb6XNMzip+4XalqQ+l/HPFYO3deMEpGjz2jNj+K99FCg6dGVyOFIdGF9+OcvR5/rUFsfLU9/QMvTH6gnXb7490D1Pc8iaMS4Mp6tz65FDoxcB8A4eXz87QxaUA31ejjaf/7wsOenTtGxZ2/q9QmOXv2fSj42hmHJ48U6dzbh9o44AQAgWszkLP0sOmcuxvFjk16/4+FEg/G0L6YWhp81ITHH/8EXU3NBTJmjVrmyFKbzwIajGw16Fd9eJFkYvBBd1SsoHJC3sS7yBpXiVOZrLkdPYmHwoQh0tpA7d3FKOveySWbueLCCzDw9l3xWFZ4Lrspm8aedjJ9l5aKbnVz39eTG3jSnJ0pYGnEnJociiZqV0cQpKUpCHedUBACAfkxqqUWOl7vusHLXHVbuvP3Ee/GcLD42QkBfMHRlJ+O4sbjXrKP/g7X0vf1O0jKAjWvqOfRG/LZeEAWm3XYWonboYar85HgufvjKuGOuuj4+enTrEFecGEKe3lH9gAL4sAvxG3m7kEWEcEK79ZHliIJIgVie0I8w1CMjCMhSBNEwsuCo3++jbp+P3vYQmiPZPJ2lBt57voMJczJ497kOQoGP5wo8zb8HQXPiUkEPxyOPeXjkMQ+/e+TUBYwdL6edOmjcxV9Ca7Sw/43fUn7uTdRteCGlyS7U1IzWmZu0re+jXeiLCnFcfglyIDBkttGN96/lo8e2cckfrsRWpqqGZiybxYxls1K694g/wurvrqL1w9MzAjREiPM0n8AomPErPhqUmNDLFQqpFKdhEqwEFR/18kEa5HihuEV6l4nibKYK5xAmRI20ixalDgBdRiaizoAcTs0H/+2n2+L+f+UR1VPl9SdaEUT1/2SYSsbgvORqTEVlQ/YtBwN0r1tFz+Y1ceoyAIeQi03IokGONyQODnRre/NF+rarhtuyL3wdU3H5sN/FtWsrra8+O2wbAMes+eRedJWaKiIJ7n07aXvrJSSfBzkYGFmgHrEZaZ055NxxK9pMO4LJgOILEG5tp/MPzyR1lkhAFDHPnoZpxmQMY0oRbVZkr49QfTP+j/bg+3DniN4vhrHl5H33LgBcr7+D67V3QBAwTZ+E5dw56IsKEK1mJJebUH0Tgb1V+LYk71fQaTFOHo9p6gT0ZUVoc7IRDHpkf4BIeyfBmnq8G7cRbkueCFCbnYlxynj0JYXoSgrRF8dcSC0LZmNZMDvpdf1vf0DfS8sTh8dqofihe4f87k133xsd57vuUHcAUybp+MrdvUNeYz57Rtx4CxoR/+6DKY/3ieS0EwJtez+IBk7IUhhRoxvRQAigLypEiUSSutsJGg36wgLkUAhBHH5F4O/y8faXXufcey+g6LzUfbj7G1ys/eH79FallpXzRNOuNNIuNaKxZ6AY9IQ7uhG0GraN2YfU3Q894L1hIlu27CJY24Amy4HU04eg1YJGpMfQT3/uAYKHG9EX5yO5vXDUM9yndLFJSm70DfV2ostwIPmO3495KLVs5tnnk3fZkhHr+IoGI7kXXYV1/BSa/vFHJH+sYlSG4CBMEAEhQWU2gDZDzf5qzC8aUQAAeGtGVv05L7mGrHkLh22TMXkGxsIS6v/8OySfd0QhIAdDZCxagOOGq+J2t0KGBUNGBYU//Q5dj/2NwMHhPVcK7vsmuoJ4m5ZoNKDNzsQ8ayr2T1xE9zP/JFidWnpjjd2GxmYl566lGCrjhbVoNqErcGKcMh7v5sTi6YJWS9Evf4RoThSUGr0OjT0Dw/gKbFdcSP+K1Uknbcu8WdiXHFvdjOPlkcc8AEyYMPTUaqgoJef2xLTa5llTj2m8j5fTTgjkjpuHxmAiu3IOWqMlJQEAEGptQ5udlXQnYJo0AU2mA//e/an15Q7y/rfeofySCs77yaKR2/cHefPWl1MqBHOyybhoAaGGVmS3F8FoQNBosF97Od1PPY9oNqmCEshYPJ++f76FxpGBxpaBZcFsfNt2gaKgK3BiXTiGvpdXIntSm9SNziK6tryHY/Kck/K9shcsJveiq+KOeWsP4m+qR/J6EHQ6dI4sMuecGz1vKhlD6dKvcfixB6LH+pQu8sXSIQUAgNZqR2dzUHzz7UeOKAQ72gh1dyD5fQhaHbbJMxC0R6LRDw3vnph1zsI4AaDIMr7ag/ia6pD9PkSjiewFixENRnSOLEo+czuII2tqTdMnkfkZtcJapKMbydWPoNehK8pH0GoRrRZyvrKUtp/8lkhn8sWJacbkOAEge7xEOnvQZNnR2FVhqM3LxfnNZTTe+f0R7wlAY8/A+e070OUf6VdRkP2BuIk9sPtA0t+qEonECwBFIdLRheTxoXPmIGYcCS4TBGyXX5hUCATrGnG/H28vy1i0AIBwWweB/clTZARr6pIel31+On75OKLVjGi1IFotOEYQMgZ98oWKacZkcr4ci4IeGG9FlqMCc2C8u598Dt/21Fxoj4fTTgg0b1+OvWQygihSt/b5pG3e+Exi8IahtIRIV/IHPdjQhOPKy9Q4AUVJyC80FHXv1BLoDVB8Xik5U3OxFtvQW/VqgY0WNz0Hu2jd3EzzusZoKcpj4W/z/njM1yYgivi27Uab7UBXUoA2OwvRrK4oJbeHUMORjItH/f4C+6oJ7FdXjKLNSqSzJ6ntZICMDJHiQg2CAPsOhAl2tZIzeyFh78nRheYujre7eA8doPHZJxLaBZrrybv82ugq2pAbH7shEUlQcx2NzpFJwaduQWvNoGfTano2vk/EE1/xqu3NF7CMGY+xoGTYvD46eyY5i+IL2NQ9+SuCHfHqrr6t63FeugT7jLMx5MXX5B2KrCMCwLd1J12Px9wHRaMB21UXY7tsIaLJiP2TF9P9p38kXK91ZpP9pZsBCLd10vvcK+oEeWRyNlSUkvnpq9GPKUXQatEVFxBuGtlHXZNpR5fvJNzWQf8b7+LffQDZ50fQ6dCXF2OeMx3/rqEXZEowhHfLR/i37yFw8FCsAJQgYJo6gayl10cFlGgyIvvjY1ECe6sI7I3/Gw8IgVBtI73PvjLid4hDlhN2U0MJgS8staDXq95BX/uveJf0gfEWdNqUxjv7Szfju+sMFAKRkA9/byvutkMImtRvz1BeBhoNwcamhOLa2qxM+t9fg2fbjlEV3hb0WrJ+uAwf0AAQgP1X/xQl9O9z50KA8p99EZ3TzuFvPkHElWSlfuSh0uZmx3nrCBoN1oXn4Fm9mVBjC45PXYZn7YdHLolJBdFqRgkEkVzJJ/RxlVp+80AWW7er+v97f+ZCkWW6tq3GlH8S0iAIAgwK3fdU76P5hT8lberatZVQdyeln/uKqupCVbO496l++nYhBx16GpWqIXcDlooJgFoHuOOd5HUSlEgET/U+PNXDq4Kyz78UURfznZd83gQBACAF/LS+9hyCKGKbllxnnYAg4Fm3hZ5nXow7LAeC9P3zTWyXqbsP8+zpdD/9YsKzn3nzNYhGA5HOHtofeCRh1xesbaD9F4/j/O/bMVSWkf2FG2n7yW9HvC19aRGBPQfpfPQvcRX8lHCYYPXhEdUczd++P2FiVztQ8O8+QNdjf4vaHwzjxgwrUE41b68I0NomMW5s4tw1MN5ASuM93CLsRHLaeQeZs4vJLJ8BQMnZV6sFmFOgf806+t9fnXSSD9bV49mybVQCAEAJRdi35Mfsv3H4zJj/DpSwlDQRXN8/3wIg0tWLe+Va+lesofN3TwPQ+4838KxWYw98H+6k7+UVRLp6CdY24N8RyzLqenkl/W8lH8vrrjGz4BwDoZBCVU2EXUd8oaVQgNy5i9FZbSf6q1J8UyzVdt+2DTQ9/1Rc0aCj8TfXU/PQvVGjcNF1S6OGZK/iQkQcVh0EEGxvoer/voczbxoTJ1+HVmskr+As8vJnMn7iEgwGO5mZFUyeciMABUVnM3nKjZjM8e7CjrPOib5WJIlDv79/2M9teeXvuPfvGrbNAJ61mxMEQDIEvQ7jhMq4Y7YrF2GaOlH9zB8+OKTaTwmHaf+/P6jBUaVFZC29PqV76/jtH+MEwGhIKgAGEaypw79TFb4DkbunC/d8N4MvL7Pw6RvNcRq9weMtuT0pjTeQ8ngfD6fdTuBYbQJnDArU3ZN8FXwqMBoEIhH45yu+6HsArdmKHIkQ9iQvFH7MCALm0oroW/f+1CJvpYAfb20V1nFqWUrzmHH4m+vJEDKpk/cPaxgGcO1U40Y62veg05nR6kxkZBQSDPQR8PeQYSvCaMpEq1P112ZzDi5Xw7D35G+sRQ6N7D3lrT1IxqTpI7YL1gyf3liJSAha1RFCMMQvpgyV5bE3KSyOgtWHMVSUYhw3ZsS2p4Ko98wpcv1MlT/+2cvefWEiRykLBo93qHb45wRO7XifdkIgFZtAmn8ff3/Bm7QwkjG3CMnvxZRXjL9t5Ic8VQy5+XFeMoHWppSvDbQ1xYRAaQXdgEdxUSZOpF4ePi24r3FAZRH7kl2d+8jMGosUCWIyZcV5KfX2HKKgcA49PUOXBUymBkpGqCu1GsiRrpGi0QdXroo/o81OrU5u9LPa1eI8mpyjk0acHESTEeOUCejLi9EVONEVOBH0OgSdTv1fe2KnLn1pAbbLz8P1+gcYJ1USqm8h0tOHedZkws3taJ3ZhFs6CNYM/2zv3JV89zN4vMPtIxc6OpXjfdoJgaCnh47960ZsZ5pQzJgHbqPrhTV0vbIB580Xknn52YS7+3F9sIuuf61LqrsXjTrGPPAldPmZIMkEDrfRs3wL/euTF2MZDaJRR9bV87GfOwVdfiaBmpakfZvGFjLml8voemkdXS+upeK3d6DLtiEHQvj2NdD5/AcEahOzQ0589nuI5ljNgurbf0u4IzEfkmlsIUXfuJaar8SHtgt6LZNeUDNQ7lvy4/h7NxvIvGwO9vOmYCjJJdLnIdTSg3vLQVyrdyF5Ylv0yy4y4fHKrNsY5L577Pzsl/34Wg5jn3AWgc6RS/0VTbmY5r2rsGaVoDPbMGXk4u/vRAr76e+Iz6uis8Uys0o+z6iKq4S6O2P92NUf00g7gAEirph/bHOTqkIL+Htx9dUDCoqiIAgijfVqzElPdxU93cMbnEM9qbkPh12ppRpRRlCbDEcyF8zhGFDRCBpNUmPsiSTr1uuwLJgT3cWcCkINrYTqWxCMBqS+fgwTygkuX4Og1aDJchA4eJhI+7G7fw8e71T+bqdyvE87IZBZNg1vZwMVF36OgKuDuvWJXg2DMY4tpPwnS9EX5+CvasI0vpjcTy/EPKmE+h//DQYVX9E6LJT97+fQZtvwH2xCNOgwTSimeEoZ+zbsTZYsMGUG+jaUOpG8AfwHmzBPLqV4Shl9MytoeeT1hP5NlYWU/WQpsieAr9OFsSyPjLkTsM6spPbbTxKsj18Rtv1pBcbyPDIvm4OgO3E/ENFsoOIXy9AXZSO5/fhrWtA5HVhmVmCeWoZr7Z5o27JSLbNm6gkEFawWkVkzVTWDEg7RvWMNluLKoT4mykBRl4zcMUTCfhRFoa9lP+PP/3yCEBBN5uhrKTC6H8LgDKaaI/1YBXtCoFgyhhI2x5JnJno/odTuXw6lpgIdzi4y8sWjfNhPUTlmXWEe1gtidhTZHyBYU0fw4CFkrx85GEIJhbBfdTH68uIT/vnG8eVq4JcsoyvIRVdaiLS3BiVwnGppZehdWVJOYfnr004IRIJ+nJPOo37ji2RXzlHTBQ9jF7DOGou/uoXqZb8D2mheAAAby0lEQVRB6vehczoo/+nnscyoIOuKs+l5M5aqt/Br12AodXLgpp8hB9Vtmy7bRsmPPkPWlXPj2o6Wgb771+6h5eHXkIPhaN+OS2YRqGtP6N8ys4KIy0vV0l8CIBr1lNxzE5YZFeTecAFNv/xnXPu+VWpwjX3hdDS60a3khsO+cDr6omw8W6tp/PnzUYOzvjAbY5kTqT8WbNXfLyPLCjnZIoUFGn74ExehsIKjoAyN0YzkHzmuoPXg2iP/r4kG95lsTvpaE1U0gz1rlMjoDI3KoOI2AyolPUYqxCnUyiPs/EY5waeCHE7t/o+3KE8qSF4/mqzU62aIpiMqOVk+eatSUYz60CuhML0vvI53/ZaEfEEQc/k8kfSvWK++GBRw2v3kyIb3VBg83tGxHIZTMt4Dn3VSez8GfD3NNG1bjr+3jc4DG0ZOJxwIcfg7T0YnqnBHH4e+/ggokL8s5p+dc+MFWGePo2/VjqgAAAh391P7X4+Rv+wKzFOGTkUwEgN9N/3qpWj/A30Hm7qS968o1Hw55nInB0I0Pag+dLYFk4/5XkZLuF1VfZgmFpMxb2L0eKilm/6NqvvdLXeqaTTyy3Ss3x1hT6uCVycy6RwTE6bquXReFULzem6++jA3fnEUHkJHfmz+/g7aq49OiAfhQWoZ7Sg9j7QZsayw4T51K28SLESIIJzKpdbA/ZgtIzcitms5mXjXD0qYmEJgmvU8NTusd1PqNTZGi/3KxegK85ADQRq/9iM8qzclFQAAuuL8k3Yfo94lpcDg8bbMH9kF+FSM9wCnnRCQQn4G9CZBz8i60Ui3O0HNIvtDRPrjV6SGItV1L9g8tFHGUOoc8lwqDNV3qKkraf/hHndCFkQ5fMSOIZ66ScqzvYbeFdvQWE0Uf/sGcj+zCF1O/IRbXxNm8gwD0+cYybCLyBL0u2SsGSIajUBfj8zMuUZq9ofYvS21/EGpEO6N6WE1ZgsaU2oTKYA+OzbeA8KkUa6mUR46RuBkonOkZuTTWk5+Bkrfjj1RryDzzMRaGIPRFeWjH6O6Yvq27xm27fEw4MGkBIPDeiwZxpZHg8VGi8aecUzXHS+Dx1u0Dv8Mn6rxHuC0UweNluikeRRKMH5yHSh2MVzq2YG6pcd8L0P0LQdDSftXUkyDeypoffQNXGt2k3PD+eTeeAE5152H6/2dtD/9DpLHz9p31J3Wvp1BRDHxN3pwbwgpcuIn1lBPJxGPG61V/fEaC4rx1o6s0x9oO8CAt8/RNRVOJQZnarVw9bkncZV7BKmnD+/mj7DMn4XjxqsI1hxG6vcktBN0WrJuvQ5QUy6czMCsgdKwGrsNMcOC7E5ULQoGPZmf+dQxf4a+tAjBoEcJnlrX88HjDWqls5HGGzglgXCn3U5gtIgGXfLjR1U4kn3BI8eTtweQfMe3gh2q74F7Od7+j5ehxmoA3956Gu77G90vr0cJhnFcfBblP/9CghE62SLtZAiA6H3VxdwuMybNSOkajdGEecy46Ht/fWrl/4ajcGomn//rBXzh7wu5e9XlnH2zGr9QMNnB5/9yAbe/tJixFww9gZvLxsbZOIZsNygu4mTS++LrSH39aLMzyfvuVzBOnRDn9qovL8b531+O5rTpefrFk6IqGSCwL/Z3zr71+mh07QCGyjLyj9T2Pdb7EDMsZH/+RkRLEpVbCmqx42FgvIGUxhtZPqnjPcB//E5Al21TVSeDvIBEswGNLf6PHGxU3QUNxblD9jWgtjlWhupbX5RzQvpPFUWSEfSJf1qdMzVDYPszq+h+ZSNlP/08hpJcbAum4FqdWhTryaB363psU9UVlG3aLLrXriTcP3yp0MxzFkYzxgY72/E1HH9Gxku/O431T1VRvbqNmx9bwJbnatGbtdz0+3m89qPt9DV5+dzT5/OXL6yjp15d5cnhUHTiF7RabNPn0Lct0fYxgKjTpxQodiKQ3V46//AM+T/4GlpnNs67b0P2+Ih0dqPJtKFx2Ac1lgkeGj447XgJN7fh37EX01lTMJ01hcKff4/goXoklxvjhAq0eervK9zUimfDNjJvvGqEHmOEDjdEVSzmOdMxzZhE6HAjgl6HaLGgcdjo++cbuN9L/NsYJ49DNBkRTSYEkyHBsGtfchmy24PsDyL19CEHAoSb2xLSrgyMt/Pu2xLGe3ACObWxTM9fE3OknQxOGyGgz3JiKRuLt64aa8VE/M1q3c+s2efT8uZzQ14n6LVUPnQH9ff9lUivJ+odBND25FvRdl3/Wo9hTD6Oi2bS9sTyBO+g9qffwbun7pjv37V2D46LZiIadLT8/tU47yBDcc5x9z8aAofb0OXayV92BW1PvR1dTZTf//mk7R2LZxBq7cV3oCFmX9GK0bxDsv/fu4PxNx6OTqaiTk/l3f+D93AVjX97LKGtbdps8q+4Li7A7PDjD3Jc/r9HWP3wfpY8MIeO6n7e/bXqXVQw2UHQG6F2g+rOW7e5k8rz8qJCoO7JXzHmy9+O5sHKv/J6/A21BDvj40AErZac8y4h+/xLjvs+R0OorpGGZd/BNH0S5jkzMIwtQ1eYh+Tx4tuxh8Cu/Xg37Yhmnz3ZdD7yDJZ5szCfMxN9aTHGqRNQQmH8O/fR+9Jy/B/tU59nQcB+1UUp99v2s4cRdFosC+ZgnjUNXXEB+jElyF4/Um8fgf3VQ0ZgO7+xbNi+k3kq9T73SlKBEqprpOkb9yWMN4LwbxlvOI2EgMZgJOLpxzZhGl2b3gNAEEUCHcMXaPFXtyCa9Ix7/G781c2Yxhcj6DR4dx2m9+346l6tj76BPi+TcX/6JoFDrQg6LaZxhQhaDbWvbkzo275oBoaiHDTW2ISSf9vlhDv6kLyBuP4H+radNwXLWZUEDrVinlyKoNXgWr2b7iT9jwbb/Eno8rPQ5dii6iXnZxYR7nET6e6nd+U2tcTfILI+MZeMuRMItXSjzbTSv2Ef1rMq0WbFG8ds50/DelYlkjegBp/JCobyPASNiGd7De4tqengBxBEEdFgRDQYEzx6DM4Cwm4XciCQkjvpAG2v/4PCT90S3T5bxoyn5LN34G86jOT1qlkuHZlknn1+3HWR/r4TtqXOqchg39vNrHhgV1SmtOztRW/WUnluHr2NHsbMc7L2iVjQWKi7k641K8ldFMuCWn77t6KppCWfF43BSOa8hWgt6t/Fe7gKnS0TfXbizlLqddGw7Dsp3W+qqZ9B1T0fj/45WFOX8n2NhHfT9pG9YhSFpruHLvSSjJJxBnKN1Wx7aNOorivd8TTTP1WOIims/t0e9i1vHNX13915HQ/MeCnu2PGO94nktBEC5uIxSAEfwe4OsucuxNd4GH9rA1rLCF4Askzd9/5I7s2LyLxsdixi+KV1CQnWZF+Quh/8mYpf3o55YglKRMJf1Uzvim1JJ4q8Wy5Cmx0/YWZedsS9S1bihMBA31lXzcNx4XTME0uifbvW7DruhWj2p87FND6+7q79wpjawLV2D1I45s/f+NPnyL72XIxj8jFPKiXU1kPLw69R9uNbE4RA96sbkP1BjJUFGIpyouPiWrObvpXbUrr3gk/ehKm4HNFgihZlSUbp0q9GXyuRMFIggBwMIPk81D/9+yGv69+7A0WKUPipW6MpAywV47FUjB/ymmBHK43PPTnyzaeKADOWlDLx4kJcLT5e/MZmvN1B/vHVjVx2z3SMNj3Lf/IR3Yfj1QDd61ahszlwzFZXjIIoYhk7CcvYSYn33NlG84tPk/+JG5MKgQGm3DmfplXVuKpHVjHqbQa0FgO+1n5Kr5yIHJJoWjV0eouPK2ddlE3AN/qU72ffMo5HL3+LQH8IYQSvvbyJDhzFFg6uOj2rCybjtBEC3VtWx4I0BDEarNOx+s1hrxP0WiRPgLYn34pT/wyFEpY4dPejKd1T1W2/jnsv6rWM/+mnqfvdWwQaVdfFki8tpvGp96J9d7+8nu6X1w/ZpyHfgb+mJSFtwwBanZXqzz5E2NuPqDOg0ZsQBIGeRzbj66wn7O3HYMvGlFOEp+UQkYAXvTWTjNxK/GI7wT5VLeHeUoV7SxUZgoNycSIdch0aRYP1vgPUKS9zruZKNkhvUSCWk7+7mLqda8gXJ/ORtC6h7nAq6HPz0efkjdxwEIJWh9aqA2sGimPkXDbuA7upe+pXOC+5BkvlxCHbyeEQvZvX0L3+3ZQStqVC6exspn6ihF+dvxwpLHPFD2cw7ZMlbHq6hrYDLp5Zmrxk6QBty18i2NVB7qIrEPWGpG1cu7bS/va/kIMBQl3tQ/aVf255XESpKc+KEpYJ9PhAgKyp+ZicVprfrUFvN1Jx3TQQBPr2q8+GxqSj4IIK3HU9eBqS21aW3F2Ks8TI+Ll2RBH+56odZBcZ+cyPKsguMODtj/DSr+rY9UEvY6ZbueXeSmxZOjQ6ga1vd/Ps/bU4y4zc8j+V5JUbkSSF71+6HbNNy72vzOTdv7ZwwY35bF/Zzb8eUtUwRouG6/67jNmXZuNzS/zspl34+iNcdlsRZZMscffi6Ytw/vV5XPO1UsIhmdcebmTjqx2YbVrOu87JBTfmY7FpWfvPdv71UD3feGoylTNtRMIyF9ygPqc/uHw7X/jZOMbOUhdFGq3A9y/bjizFr3o8XQEC/ao3kSIPvyIat6iQkO/fmGr+GDhthAAQW40PjtYcaSs/yLrumHY2ciRC//7EsnXHi9ZmwnHOOCRfkGCr6nNun11B36bYispUrq7cDPkOXFsPYchzYB6XT7C5F291K1qbiZxLpuGtaqXvw5qkK+yM4nEoUoTemh3oM7Iw5xZjK5lE94FNlC36LM0bXyVv5mK6D35I6YWfpu7dv1FywQ107Hyf0vOvp3bFn5AGpSfIFYpolGvoU7rIEQqQkbELObQrjeQK6s6iTWmkR2knW8nDKJjxKK4TPn4nimBnO43PPoGxsJT8K65Fm2FHY7Yih0NIXg89mz7AfXA3kjfR/e54MGcakEJydBJwjrNRv2U0hn6F3g/X4N63g8Jrb0WXmYPWYkUOBom4XbS+/nxccrxgV2LuKICMskzkiEzeOaU0vVONuSCDyV+eh86iZ+uP30EOSWSUZxHsVlVtGoMWnUVPsM9PxB9G7zBStKiS6r/vYOa3F7Lpe28R8Sa6Sy66OZ9ffWEvT3yrCmumDk9fhP99YxJ//F41e9f14Swz8r1np/HAZ/dw+W1FrHupg/efbUWrF8nM0yOIcOdvJ/L0D2qo3+vBbNNSMSODtsN+cooM6E0afnjFdh7eNo8Nr3TQdtjPTd8bg9Gq4ZvnbSGr0ICvPzaZvv3H5rh7ATi4xcW3Fm6hoNLE95+fzsZXVSE30Lc9V89P357Fhlc6eOhL+7jt/8bRVO1jxR9jq/Q/f1/9/QoC3Pbg+DgBoLdoue53C7AXmln26qUAPL9sLe4OP8teuwydUYMUkln32D72vtGALd/EnFvGIoVlZlxbDsBTn3oHOSIzd+l4ZlxbjiFDz66XD7Pm93vJLLVyyfdnklVqRZYUnvikWrp17tLxGKxaHMVWSufm8qfr3sHfd/JcWk8rITBx2Tn4mvuRQhEEjQiKgiIrR7ZgAp1bGwn2+IbtwzF9LpLfQ86CS2h86U8UXHY9fTs3kz33Qppe+yuKFMFSNp7c8y7l8DO/AaBy2Xfp2rAK174dQ6YLiPT78RxoxlzhRImobVzbahl//024f6jmNyq761IOfOfv+OtUT6TCm88l1OPBs7sx2oe3qpW+zcnL24GaD0YQ4l3VPC01uJuqsJVMIqNwLD1V23A3VWHJK8ecXUhP1RbczdVkFE9AZ81E6ollq2yQq5ikmUOeUsJBeQcSEUrF8eyU1nOB9mpq5N3IyshbZNFixrb4PIL1jfh3H8A6fzaIIsHqw4TbO6n/02/RZjnQl5dES+Lp8nLRlxYR7ugiVN8UPR+sqYv6hKeK4+JZSG4/waZOQs1dBFoa6N63Ev/+BiJ9HrXq1IRiwp0uJK8HQ1keoZZulHAEXa6DcGcfuhw7xnFF+Pc3gEY1fBsrC6N9HvjJN4f8/AOrWjiwKpYc75mla9EYdcz45Y20vLoDjcVAx3sHyLt4EqFuL2W3zmf7V//OtJ9fR9MLWyi9ZR57fvQKOeeW4t79RvS9qcBOyU1nM/auOez/WTtaq5Hi62cT7vNz4P5vJiwUsqbmU//mfnoWqm6kObOKaN/UQOPbqt2m9BMT0Rq11G+oV4uXd3hw1/cS6PHRtaOZ0oKJNCw/QOe2JpxzSzDnWemvTYyd2PFuDw37VUHi6VV3hn6PxN516s6hoz7A/o0upl3g4NG7D6LVi8y5PIeLP1dAb1uIl39TT2GlicYDah++/gi1O92YbeqU88YjjUf68ZNVYKDtsJ+Zi7P41RdVg3tPS/wO7uh7sWbq+N/Xz+KO6Rvx9kUw27SIGiGub1dnKK7/oVj0mQImL7DzyNfj05aEvBGeu20Ny169lCevWRl3ztPpVx0nFIWrfno2+99qpL/NT/V7LXTW9PPhMzG7kKgV2fnS4eixzz9/EbtermPZq5fi6VIXbKIOplxVyt43jtQRKM/g1W9vHvKeTySnVZxAqC9Aw/L9NK+qpvmdKppWVtG8qpqmlVU0rTw4ogAA6N+3HW9dNf6WBnQZDjRGExkTpqExWzDlFaNIEqaCEjQGY7RaleT14Nq77bjzxchHZS2t/eXrdL+3h8rvL4kdHKFIurftMNkTz6Fo/tXRY7bSSRQtWILOYqf74BayJpxN8YIl6K2ZeNrqhu0vQpjd0kaqZdXFs1fpZKekqqvWRF6jRT5Mm6I+eNXyriF3AaJejxIJxyXSMs+eTtYt1yIajWizM3FceyWyz6+605lNZN50DVK/G22WI+589tIbUsqfMpiMBVOQ/UHyv3wVotmAzulA8vjJ/+o1iGYjglaDoTiX4u/cBICxooCMearOXTTq0Tkd5N56cfQay4wK8u/8ZFyfo8U2pZCeDw/Tubaatrf3IIcl5IiMdUIeGoseQRTo/OAAvTsacO9vxehU1Q6D32cvGEvzqx/Ru6MB+7Rigp1u/E29eA93Jt0ptqypZepXF2ApUu0uzatqyF9Qxqx7FiPqNHib+8lbUMaUu+ZHr+k90EHlDdOZfMe8UX/HwRjMGqaer6rtnGVGJs93sHddH+VTrSiywta3u/jLvYeYfmEmnU0B2usDXP6lmB1Lqx9+utm9ppcrl6ntM/P0w7Y3WjRRJcGFN6cWXOdzS+QUxf+dz7ooi7lX5vDEf1el/PM3OQysvH8Hz35xNa+kOFEHPYMqrCkKCCBHFB697C0euWQ5j1yyPCoAQBVAp4rTaifQvComPUfSvQ2FPNi1ShBw7duBa0/MgOuYPpfOdSswl1RETRCydCw6cBvOT8zCVJJN8dKFND2zOqFN+devQPIGCDTFVlp518zBOqmIpj9/kLTfkLuH6jceRRBEFFnCnFtMT9UWXPX7opWy6lb9BVGjRT7yvrdGVX+1bH4jri9jXhFZZy+kZ8tqBK0WRZYJtDaSfc4iuje/H21nKirDkFNAoKMZjdEEioK3Lt5wGOntI9TcRqAqFnTl2/IRunwnmiw7xgljEU1GzGdNBVkhUF2L7PZgmjKB/vfWYz5ravS8aLWgLymK62sk+tftxrurFvOMCnTZdszTxqAvykabYcZYkY9vbz2KJKuTuSji3riPgq8twb1hL8HGDjKvPAeNxUjGvEloM9QYkv71e+L6DPpSy+M/gByIoLXGJpX8y6agMemp/8tGHNOKQRCQQ4N3WUcvAAQkXwitRTXcSr5BeuchDJBhd5B9j29CDsdmrC3/sxJBFFBkhe6PWti0tx1FiqmuXFVdbPyW+mwMvm7vo6PzWPvdHfv47I8q+Pz9Y/G7I/zl3kO01vq59b5KZl2SjRRRCHglnvlRDYoMv79zP5/+/hh+8cEcNDqBey4e3uPnuZ/VcuN3x/CrtWfj6Yvw4C27iYSSz8xdTQHef7aV+5fPYv2/2uloGDnJ2gfPtfLlhybwiw/m4OmL8OMlH7H0/rFEQgr3vToTgF8u3UNv+/CqF71Fi6dT/byzbowP7At6wtgLR8795Gr20dPg4ZwvjGfTH9VdnEYvIg3xfU8mp5UQCPamnivef7BpSOPqYDLGTsZUWIqo1dO64p+EervJW/TJlCI3jybQ2E3D46sACHX20/T0BzQ9/UH0fNUP49Ne1z+yAkGriUsnUfWjF0b+IEVBOaKiUaQIiiRFBcAAsjTySiHQ3kygvYlAezNZc9XgqUBronubqaicng9Xkz1vMXIwcCRFchLvkaN2MUo0ZYeAEgzi3bIT76Zt0fNdf34eXWE+ubffgmfd5oTzoyGuNoSgJttrf3J59JB98VmIJj2RHjfCkfOSx49t4XRc732EHAjRv24Prg+O1BpePDOhz9Hi2tdMwSemMf6blyKIAm0r91L22XkYcq3DRqYPpm3FHsb/1yVIgTCuvaqu2n2wjYovL6R7Q3IhOXgiH2DwokkOJ6r3kl0zHE//oAZbnpH5t1bw/h8OojdrcfXI/GLpXswOPQF3GEEjoDdpePWRZnZ+GKBuazflc7LZtVy1lXQ2Bvj9nUe5Qfrhtgkxx4n/vTZWKc7vlnjmh4mq0sE6/MG88EAdLzxQB8BbT6ltBtsRju6/tdbPfdd8FHf+v+aPPnOwq9nLXSuvJOSNsPu1OvoaY67OO16o5eoHzuHOFVcScAX5843vJu1DkRX+dfcGLvr2DO5ccSUarcDjV61A4tQLAUE5BWHJI96EIJzUmxB1euRIOGZkHpQq9uNO1tkX0LNlDbbJsxAEgUB7M9nzF9Pz4WoUSULQaNBn5yGIqg1Gn5WDokDXuhUJfeV943aCdY30vfwW1gVzUMIR9CWFeDZtJ9LZTc7nb0TyeOl98Q00Dhv2yxch+wOIVgs9z74cPS/o9fT8/V+jCoixnTeV/nV7yL31YvpX7yLU1otz6SWIBh1tj7+JaVwR2TdcgGgy0PCDP6FIMqZJpRR+4zoO3f4Qgl5H4deWEOn3Ihp0+PbVo4QicX0GG0a3ExhA1GvVHFYKiDoNcuT4w/0FrWbIDJqnipxyK8UzMmk76GL2dWV89FojYxfk4ig003nIjRRWMNq0bPr7Ycafn8fut5qZdkURu9/6z3GP/E9HUZTjzjR5RgiBNGnSHDtHr5kGVE9p/v2cCCFwWhmG06RJc/px9DoxLQA+XqSFQJo0adKcwZwW6qA0adKkSfPvIb0TSJMmTZozmLQQSJMmTZozmLQQSJMmTZozmLQQSJMmTZozmLQQSJMmTZozmLQQSJMmTZozmLQQSJMmTZozmLQQSJMmTZozmLQQSJMmTZozmLQQSJMmTZozmLQQSJMmTZozmLQQSJMmTZozmLQQSJMmTZozmLQQSJMmTZozmLQQSJMmTZozmLQQSJMmTZozmLQQSJMmTZozmLQQSJMmTZozmLQQSJMmTZozmLQQSJMmTZozmLQQSJMmTZozmLQQSJMmTZozmLQQSJMmTZozmP8HziZCTRJkB1cAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Display your wordcloud image\n",
    "\n",
    "myimage = calculate_frequencies(file_contents)\n",
    "plt.imshow(myimage, interpolation = 'nearest')\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If your word cloud image did not appear, go back and rework your `calculate_frequencies` function until you get the desired output.  Definitely check that you passed your frequecy count dictionary into the `generate_from_frequencies` function of `wordcloud`. Once you have correctly displayed your word cloud image, you are all done with this project. Nice work!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'Project': 84, 'Gutenberg': 84, 'EBook': 3, 'Hamlet': 114, 'William': 4, 'Shakespeare': 4, 'eBook': 6, 'for': 197, 'use': 24, 'anyone': 5, 'anywhere': 2, 'in': 486, 'United': 15, 'States': 15, 'most': 74, 'other': 30, 'parts': 5, 'world': 28, 'cost': 5, 'almost': 10, 'restrictions': 2, 'whatsoever': 3, 'may': 77, 'copy': 12, 'give': 41, 'away': 25, 're': 6, 'under': 8, 'terms': 24, 'License': 10, 'included': 3, 'online': 4, 'www': 10, 'gutenberg': 10, 'org': 11, 'not': 325, 'located': 7, 'll': 80, 'check': 4, 'laws': 10, 'country': 8, 'before': 21, 'using': 6, 'ebook': 2, 'Title': 1, 'Author': 1, 'Release': 1, 'Date': 1, 'November': 1, 'Last': 3, 'Updated': 2, 'September': 1, 'Language': 1, 'English': 3, 'Character': 1, 'set': 29, 'encoding': 1, 'UTF': 1, 'START': 2, 'PROJECT': 4, 'GUTENBERG': 4, 'EBOOK': 2, 'HAMLET': 365, 'etext': 2, 'prepared': 2, 'Dianne': 2, 'Bean': 2, 'TRAGEDY': 1, 'PRINCE': 1, 'DENMARK': 1, 'Contents': 1, 'ACT': 10, 'Scene': 20, 'Elsinore': 11, 'platform': 6, 'Castle': 30, 'II': 12, 'room': 28, 'state': 22, 'III': 8, 'Polonius': 38, 's': 252, 'house': 9, 'IV': 8, 'V': 6, 'remote': 2, 'part': 29, 'hall': 6, 'Another': 11, 'plain': 3, 'Denmark': 27, 'VI': 2, 'VII': 2, 'churchyard': 2, 'Dramatis': 1, 'Person': 1, 'Prince': 2, 'CLAUDIUS': 1, 'King': 74, 'uncle': 12, 'GHOST': 15, 'late': 11, 'king': 25, 'father': 70, 'GERTRUDE': 1, 'Queen': 35, 'mother': 42, 'now': 70, 'wife': 9, 'Claudius': 2, 'POLONIUS': 87, 'Lord': 16, 'Chamberlain': 1, 'LAERTES': 63, 'Son': 1, 'OPHELIA': 59, 'Daughter': 1, 'HORATIO': 111, 'Friend': 2, 'FORTINBRAS': 7, 'Norway': 13, 'VOLTEMAND': 3, 'Courtier': 6, 'CORNELIUS': 2, 'ROSENCRANTZ': 50, 'GUILDENSTERN': 34, 'MARCELLUS': 36, 'Officer': 2, 'BARNARDO': 22, 'FRANCISCO': 9, 'Soldier': 1, 'OSRIC': 27, 'REYNALDO': 14, 'Servant': 3, 'Players': 6, 'Gentleman': 4, 'Priest': 1, 'Two': 4, 'Clowns': 2, 'Grave': 1, 'diggers': 1, 'Captain': 3, 'Ambassadors': 2, 'Lords': 3, 'Ladies': 1, 'Officers': 1, 'Soldiers': 1, 'Sailors': 4, 'Messengers': 1, 'Attendants': 8, 'SCENE': 21, 'Enter': 65, 'Francisco': 2, 'Barnardo': 8, 'two': 19, 'sentinels': 1, 'there': 63, 'Nay': 24, 'answer': 14, 'Stand': 3, 'unfold': 3, 'yourself': 14, 'Long': 2, 'live': 15, 'come': 72, 'carefully': 1, 'upon': 44, 'hour': 8, 'Tis': 30, 'struck': 6, 'twelve': 5, 'Get': 5, 'thee': 58, 'bed': 14, 'For': 78, 'relief': 1, 'much': 49, 'thanks': 7, 'bitter': 3, 'cold': 6, 'sick': 5, 'heart': 31, 'quiet': 5, 'guard': 3, 'Not': 15, 'mouse': 2, 'stirring': 1, 'Well': 14, 'good': 83, 'night': 37, 'meet': 8, 'Horatio': 45, 'Marcellus': 11, 'rivals': 1, 'watch': 16, 'bid': 5, 'make': 49, 'haste': 13, 'think': 46, 'hear': 33, 'ho': 11, 'Friends': 2, 'ground': 10, 'liegemen': 1, 'Dane': 6, 'Give': 21, 'O': 115, 'farewell': 6, 'honest': 10, 'soldier': 3, 'hath': 56, 'reliev': 2, 'd': 285, 'place': 10, 'Exit': 38, 'Holla': 1, 'Say': 6, 'piece': 6, 'Welcome': 5, 'thing': 19, 'appear': 7, 'again': 33, 'tonight': 11, 'seen': 22, 'nothing': 27, 'says': 8, 'tis': 44, 'fantasy': 3, 'let': 59, 'belief': 1, 'take': 25, 'hold': 24, 'Touching': 2, 'dreaded': 1, 'sight': 9, 'twice': 4, 'us': 72, 'Therefore': 8, 'entreated': 1, 'along': 3, 'minutes': 1, 'apparition': 2, 'approve': 2, 'eyes': 22, 'speak': 54, 'Tush': 1, 'tush': 1, 'twill': 2, 'Sit': 1, 'down': 31, 'awhile': 10, 'once': 17, 'assail': 1, 'ears': 9, 'so': 152, 'fortified': 1, 'against': 20, 'story': 3, 'nights': 3, 'sit': 7, 'yond': 1, 'same': 13, 'star': 6, 'westward': 1, 'pole': 1, 'made': 30, 'course': 6, 't': 93, 'illume': 1, 'heaven': 39, 'burns': 2, 'myself': 12, 'bell': 2, 'then': 42, 'beating': 3, 'one': 44, 'Peace': 3, 'break': 5, 'off': 21, 'Look': 15, 'comes': 23, 'Ghost': 11, 'In': 41, 'figure': 5, 'like': 77, 'dead': 30, 'Thou': 14, 'art': 16, 'scholar': 2, 'Looks': 1, 'Mark': 6, 'Most': 13, 'harrows': 1, 'fear': 20, 'wonder': 4, 'would': 69, 'spoke': 2, 'Question': 1, 'thou': 93, 'usurp': 2, 'st': 17, 'time': 44, 'Together': 3, 'fair': 21, 'warlike': 5, 'form': 16, 'majesty': 5, 'buried': 6, 'sometimes': 3, 'march': 5, 'charge': 14, 'offended': 3, 'See': 5, 'stalks': 1, 'Stay': 5, 'gone': 14, 'tremble': 2, 'look': 25, 'pale': 6, 'something': 12, 'than': 40, 'on': 140, 'Before': 4, 'God': 32, 'might': 30, 'believe': 16, 'Without': 5, 'sensible': 1, 'true': 24, 'avouch': 1, 'mine': 29, 'own': 38, 'thyself': 4, 'armour': 3, 'th': 49, 'ambitious': 3, 'combated': 1, 'So': 47, 'frown': 1, 'angry': 1, 'parle': 1, 'smote': 1, 'sledded': 1, 'Polacks': 1, 'ice': 2, 'strange': 9, 'Thus': 10, 'jump': 2, 'martial': 1, 'stalk': 1, 'particular': 10, 'thought': 11, 'work': 55, 'know': 78, 'gross': 4, 'scope': 3, 'opinion': 1, 'bodes': 1, 'eruption': 1, 'Good': 27, 'tell': 39, 'knows': 3, 'Why': 53, 'strict': 2, 'observant': 1, 'nightly': 1, 'toils': 1, 'subject': 4, 'land': 5, 'why': 9, 'daily': 1, 'cast': 6, 'brazen': 1, 'cannon': 5, 'foreign': 1, 'mart': 1, 'implements': 1, 'war': 2, 'impress': 1, 'shipwrights': 1, 'whose': 21, 'sore': 3, 'task': 1, 'divide': 2, 'Sunday': 1, 'week': 1, 'toward': 6, 'sweaty': 1, 'Doth': 4, 'joint': 2, 'labourer': 1, 'day': 22, 'inform': 2, 'least': 2, 'whisper': 2, 'goes': 12, 'last': 13, 'Whose': 11, 'image': 4, 'even': 16, 'Fortinbras': 14, 'Thereto': 1, 'prick': 2, 'emulate': 1, 'pride': 1, 'Dar': 1, 'combat': 1, 'valiant': 2, 'side': 2, 'known': 8, 'esteem': 1, 'slay': 1, 'seal': 9, 'compact': 1, 'ratified': 1, 'law': 15, 'heraldry': 2, 'forfeit': 1, 'life': 35, 'those': 19, 'lands': 4, 'stood': 5, 'seiz': 1, 'conqueror': 1, 'Against': 4, 'moiety': 1, 'competent': 1, 'gaged': 1, 'return': 12, 'inheritance': 1, 'vanquisher': 1, 'cov': 1, 'nant': 1, 'carriage': 1, 'article': 2, 'design': 1, 'fell': 7, 'Now': 29, 'sir': 63, 'young': 15, 'unimproved': 1, 'mettle': 1, 'hot': 6, 'full': 20, 'Hath': 8, 'skirts': 1, 'Shark': 1, 'up': 38, 'list': 6, 'lawless': 2, 'resolutes': 1, 'food': 2, 'diet': 2, 'enterprise': 2, 'stomach': 1, 'doth': 23, 'well': 63, 'unto': 4, 'recover': 3, 'strong': 4, 'hand': 20, 'compulsatory': 1, 'foresaid': 1, 'lost': 8, 'main': 5, 'motive': 5, 'preparations': 1, 'source': 2, 'chief': 3, 'head': 26, 'post': 2, 'rummage': 1, 'e': 11, 'en': 15, 'sort': 3, 'portentous': 1, 'Comes': 1, 'armed': 2, 'through': 10, 'question': 15, 'these': 41, 'wars': 2, 'mote': 1, 'trouble': 2, 'mind': 14, 'eye': 15, 'high': 2, 'palmy': 1, 'Rome': 2, 'little': 18, 'ere': 10, 'mightiest': 1, 'Julius': 2, 'graves': 2, 'tenantless': 1, 'sheeted': 1, 'squeak': 1, 'gibber': 1, 'Roman': 2, 'streets': 2, 'stars': 4, 'trains': 1, 'fire': 12, 'dews': 1, 'blood': 19, 'Disasters': 1, 'sun': 8, 'moist': 1, 'Upon': 15, 'influence': 1, 'Neptune': 2, 'empire': 2, 'stands': 4, 'doomsday': 3, 'eclipse': 1, 'precurse': 1, 'fierce': 1, 'events': 1, 'harbingers': 1, 'preceding': 1, 'still': 16, 'fates': 2, 'prologue': 4, 'omen': 1, 'coming': 7, 'earth': 24, 'together': 9, 'demonstrated': 1, 'Unto': 4, 'climatures': 1, 'countrymen': 1, 'Re': 5, 'enter': 7, 'soft': 6, 'behold': 1, 'Lo': 2, 'cross': 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'Volunteers': 1, 'financial': 1, 'assistance': 1, 'critical': 1, 'reaching': 1, 'goals': 1, 'ensuring': 1, 'generations': 2, 'created': 2, 'learn': 1, 'Sections': 1, 'information': 4, 'page': 2, 'non': 1, 'educational': 1, 'corporation': 1, 'organized': 1, 'Mississippi': 1, 'granted': 1, 'exempt': 2, 'Internal': 1, 'Revenue': 1, 'Service': 1, 'EIN': 1, 'federal': 2, 'identification': 1, 'number': 3, 'Contributions': 1, 'deductible': 1, 'principal': 1, 'Fairbanks': 2, 'Alaska': 1, 'mailing': 1, 'PO': 1, 'Box': 1, 'AK': 1, 'scattered': 1, 'throughout': 1, 'numerous': 1, 'locations': 2, 'North': 1, 'West': 1, 'Salt': 1, 'Lake': 1, 'City': 1, 'UT': 1, 'Email': 1, 'contact': 4, 'Dr': 1, 'Gregory': 1, 'Newby': 1, 'Chief': 1, 'Executive': 1, 'Director': 1, 'gbnewby': 1, 'pglaf': 1, 'Donations': 2, 'survive': 1, 'increasing': 1, 'licensed': 1, 'accessible': 1, 'array': 1, 'outdated': 1, 'Many': 1, 'particularly': 1, 'maintaining': 1, 'IRS': 1, 'committed': 1, 'regulating': 1, 'charities': 1, 'Compliance': 1, 'uniform': 1, 'paperwork': 1, 'solicit': 2, 'confirmation': 1, 'SEND': 1, 'DONATIONS': 1, 'contributions': 1, 'solicitation': 1, 'prohibition': 1, 'accepting': 1, 'unsolicited': 1, 'donors': 1, 'approach': 1, 'offers': 1, 'International': 1, 'gratefully': 1, 'accepted': 2, 'statements': 1, 'treatment': 1, 'swamp': 1, 'Please': 1, 'Web': 3, 'pages': 1, 'current': 1, 'donation': 1, 'methods': 1, 'addresses': 1, 'checks': 1, 'credit': 1, 'Professor': 1, 'Michael': 1, 'Hart': 1, 'originator': 1, 'library': 1, 'shared': 1, 'produced': 1, 'network': 1, 'volunteer': 1, 'confirmed': 1, 'necessarily': 1, 'edition': 1, 'PG': 1, 'facility': 1, 'includes': 1, 'produce': 1, 'subscribe': 1, 'email': 1, 'newsletter': 1}\n"
     ]
    }
   ],
   "source": [
    "dict1 = calculate_frequencies(file_contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.ndarray"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(dict1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "words = [\"Hello\", \"HOLA\", \"yeAh\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'list' object has no attribute 'lower'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-117-fcde631c42c8>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mwords\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlower\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m: 'list' object has no attribute 'lower'"
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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