utf-8''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": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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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"
   ]
  },
  {
   "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": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bfb1144f627747ef9284031443c244d3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "FileUploadWidget(label='Browse', _dom_classes=('widget_item', 'btn-group'))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Uploaded `python.txt` (1.80 kB)\n"
     ]
    }
   ],
   "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",
    "        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",
    "        \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": 31,
   "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",
    "    frequencies={}\n",
    "    text_without_punc=\"\"\n",
    "    only_words=[]\n",
    "    for c in file_contents:\n",
    "        if c not in punctuations:\n",
    "            text_without_punc=text_without_punc+c\n",
    "    words=text_without_punc.split()\n",
    "    for word in words:\n",
    "        if word.isalpha():\n",
    "            if word not in uninteresting_words:\n",
    "                only_words.append(word)\n",
    "    for word_count in only_words:\n",
    "        if word_count not in frequencies:\n",
    "            frequencies[word_count] = 1\n",
    "        else:\n",
    "            frequencies[word_count] += 1\n",
    "    \n",
    "    #wordcloud\n",
    "    cloud = wordcloud.WordCloud()\n",
    "    cloud.generate_from_frequencies(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": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CbN3zo0ibdSu/RW3jqxTmrsZszMXnt7Pz4MhMNSWpmNLCKzAbc3B5+jhS9RT+QNh6a+3yr6NW6XG4OjnV9Dp257lRIyk0KkJOL/adsXsrtg+Ok/v5q1Ga5E2lHftqowTAaAgqBVJw7Jm1oFTEzMA76raRUbiU4kU3oFRp6Ws/rcIRBExJueSVX0p6/iIOvPFj2T5FKUSDdS8N1r0IQnimL0mx13L47t9R/JVNtD6+hcLPXjrqdZZtyMHnDNBfb0dQCFjbXVHHre0u5m3Mp/a9TrRmNY6e0fcjpzsfGSEAYExSkpajIRSQMCWrsPUHCAYkxKDEQLeftlMeTEkqDJaJCYG+1w+DIJC6fi6DH5yeeZ01yPW9dSymzH64+fQxG0gSHU9ti/Tpbop+EfO//FU0mVkAlPzkYQAaHvgmiCKq5BTy/uVLKA0GGh/4ZqSNefkKdIVFGCsr6f7zU6RtvhZ1Sipd//MEvrY2ktdfStKatSgMBvwd7XT87jcTuv8Yhgd2uQH+zLJxCoCNW+5HUESvgt2dNrbdEasPT4TszEVkpVeybf9DGPUZKJWayLHt+x8mPXUOleW3xbSrKL2Bk3UvYLO3kZu1DI3aiD/gwqBLY8n8T9Hcvo3jtX8lyVwYEQC5Wcs4Wv00Xp+NvOwVLJn/KXYd+iWBgDum/6nA19Ynu1kthUR87X3oy/JkWoGnISy4FWol2jQDQaefkC+IPtuMb8CNyqAm5A2iTTVQeN086v50AG2qAVe7FX2OhZA7QMgXRGVQozZpUZu16LPM9OxqJuQPIggCYiCE295F45GXKF18M7MWXMusBdeCJLH6xoeiBnWfxyp7nQAapZ4MfTF6lYUG2z6UghqQCEkjG+ySKKHQqAg6vGhSjaM+M0Oyhiu+tgBzlo5QQOSpT26LOu6x+dlw/zw2PbiYoVZnxCT0ym8uZOltxSjVCv5t93X4nAHe+PcjVFyRy+z12ejMahQqBf+26zqe/9JuWg70c+0PlkaObfr2YnzOAK88cICWA/2jXuNU8pERAq/8dyeCAiQROhu9CApYe0M6SBIKpcDh96247EEkkUi9CSFJDG6tiimL+TzWwBinrP1Xv0BXWETev3yJxge+GaUOClqHaPnRDzDMnRfTjWnxElxVJ8n59D10PfE4psVLSFpzCd7GBswrVtD9pz8SHLJiuehilEYjIZcrpo//qygVp/dvgl5sjsT1sl29h+kfDKspWjt2kJJUzKCtkcK8NdjsrTS2vgdA78DJSJtZeZew69AvAWhu/4CivLWkp8yhq/fwVN1OFKInvu9AyB3fEk30hY9lrytB9IfoP9hO7uVlaCw6lDoVfpuXjndOkVSegb1hAEmUSCrPIHVhDtbaXko+thjfgAu/zYu7w4YkSUiSRPa6EoJOH30H2uC0trW7aQ8eZz+zKq/BlFIAgoBAWMg7re00HftH3Ou0aLJYkX0zAGqFjkbbAXJNc0nXF3K4d0QvL6iUiB4/5Q/eGHf1M8zRv7dw9O/ym+bDPHpVrF7/nYeP8c7Dx2LK67d3x5QN8+r3LrzRyEdGCED0wC6JsP0leWk7YQEwjfF1tOOuqUadloa3pRmVxULS+ksxL1kKgkD+l/91pLJSydC7b8fvLAEUagXXPX0TL3/8RTRmLX6Hj4zKTOZ9opIPvhWeOWVUZjJQ28+mxzbzxmdfRRIllBolIX+IG5+7hW3f2cpg7QCCQhjV9HKytHfvo717H/PKbiYnYxENre/T3P7BmO1sjvbIZwkJpUoLgMmQhdXeHFNfoVBh0KehUIy8dtv3Pyyrvpgq9HPyZdUwglKBoVx+FXAmne/VRT1/MRCi/c0a/PawaXbHuyOqyuHPgkLgxC+in99wHxnLC/AOugl5o81gbX31HN3yX+O+v4tybmNr2x8IiF42zfoqAN2uU8xLjVb5SMEQjb96CwBtZnjvQKnTIwaDSMEAglKFNiMbb3c7U4XSbAC16px7sE+Wj4QQyLt6Lgu+deW420lBEb/Ng3/Ig3fAhatlEGfTAO2vf7js14FRVyBdf3wcT339SMFY9rYJIAZEug92seGhsAv91m/Je1GKAZH2HW3kXpSHz+6j/2TYfnvLN95j/t0LMOWaqHr6BO07x285MV6q6v7GwFA988puSkgIxMPl6cNiyo8pF8Ugbs8gojgRl/XxI7p9KI06ktbMw7rtRNSxpPULUOg1iJ6x/VKGBUD7m4mFpJBVP50u6zswtd9jIORFr7IQ8I948KbocnEH4zvRFXxmPfUP/QNNWiYpS1fj7elAColIoeCUCQFVahLJN24g0DuI7bUdF3TPayz+zwmBn/46jWf/5OTI/sm70AsqBdo0I9o0I+bZ6WRcVATA7HsupueDBtpfO4mj4fzp7oaJqIAUikkP2IGBATQ5ubhrpj7mjC5Vx6HfHcTeEn4hA+4A+pSwJZBCNWKuV/u3GpZ/aQU+24gQcHTY2fXD7WgtWm549maeu/qZKb++YTJSKwiGfLjcvSRbCvB4ByfVX2vHTi5e8i8U56+no+cgSeYChmxNBENemtq3kJFagdXegkqlJzW5lO6+o4RCU+8k2PvXD8j+zFXkfnEzYlDEsSe8T2VZPZfce68GoO/57VN+3smgUKoQBPk9uVAw9p1ucRxhYcbVNFjDlkVpunwWpG/k1NBOAPLuXB3TxliadfqTgKP2BIaCEpQGI11vPDc1NwEoLEa8tc0oLMa4hg9KgxHj3Eo0WVkotLpwvTj0/u3cBUT8PycEzge6dBNFtyyi6JZFDBxopeZ3O3DUnz9hEBgcQAqFMC1ajOv4cUT/xAXe0Ltvk379jQR6evA0NaI0GAg5HIj+xAYlQSFE/XiH1Q5qgxpBELj4W6uRQhJ7H96FtWkIV6+LTb/fjGfAQ9VfwrNTn9WLz+aL9CMoBDb+9hpCgRCCIFDzQnXsiacQtdpIWfHVaNRG7I52jteOvHDrVv4/VCodCkHJpRd/l2DIS3X9y6P2F7YGeprSosuZlb8ep7sbqz2sY+7qPcLqpV9Br0shEPRgtbfQ1Xtk1P4mSv/Le1BnJJF23UUUfvPWyKxfcdqHZfDNg/T9bec5Ofd4MFiyKJy3keSMMpTq+Pr6nX/7ekxZk+0AgZCX2cmrkJBYlnUTx/rfpNMZ/s2krp1D72vRz1cKhv0RPB3NJFUuw3biAIJSSca6TfS+PzXhHvzNnWjyM1GlJctO1CzLVpJx/c0Iao1M61g+MkLgV0+m4/dDeqaS+z7Ri9slcfOdJq6+0cChvT5+95/hGeUDP0mhYr6G3du8kbLPf8VC6Rw1aekTs+yZKGnLC1n9+B28ffmvz6ne+kxEt5v+l14kddM1ZNx8C43f/n8ApF9/I6bFS1Do9UihIKLHS9/fnh+1L8ehgwgaDWmbr0OVmorocdPyU3lzPDmueOOLKHUjP6Ott/4Rb5+TshvK6drfSe3pAbx0cxn2Njvbv7NVth9DhoGa58N1JVHijc+dv9grnT0H6ew5KHts276fxil/KKasbyB8/Sq1Hr/gZd/R/5ZtO7wxPBblSz7OqcOTe/m7/vAWjv11pG5egaEiHyRwHmti8M2DOA/Vj93BabLuu5me3/wtqsy4ogJtfiaDL22L0woQBIxLy1Fnp2J9bTemVfNx7q2ODIx6UwYLN9wf2U+ZCO3OE7Q7T6AQlHA6htAw/e8cp+e16E13c+WIqs5RdxKlLhyLaaoEAIDCoMO17yTOHUfQFOfib4o2A868+eMjkydJIuhwgHh+Yl+dzbQSAgBfv3dkRr3uCj2f+7KF5oYAC5dpWLFax9GDPgQB6k8FuPMeM7//lY1V6/Tk5Kn45hcHeOSx9FF6PwspOmbLmQiCAAn64gkKgY1b7qd3ZyOHvv1qJD7JjQ/Ow9bjJX2WkX/8tJoNny3h6BtdFC9L4eDLnfhcQS79XAlaowqlWsGhVzroqnWQW2GhZGUqh//RyYZ7ikEQ2PdCG7kVFmYtTWHv822UzO4iLfQ81loPnSYVGz5bglJdw6Fn3yOzxETJilSOvdNFiiLIjV+bR/WWt3n/SCPOI+EXwnn8GM7jYUsG+57d2PfsTvy5ncGZAmAYszmP+hdb8fsdaDQmZpdeQ/XrL0Q+d3Tswe5oj9oQ3fbg1gmdfyrJK1mLJIl4XANkFS6n5sBfmLP0duqOvkjurNXYh1pwWtspXXgjLltnpF7j8Vconn8ttYfCKiuN1kxy+mwcQ23kFq+O1HMOteO0d5KZt4T+ruOoNQZ62sLC58x6jqFWbANNKBTyExp3bfuonsJn4zzaiPNo4kkiGr7+BADJ167GW92Cv2sAQa0kedNF+LsHSbp0CV2/eA6VxYinOrzCUaUnoZ9bhDozBSkQZOiVnRHBERywoc4Ox/4xLi7Dta864kpWecm9KFVajn/wG+wDzQlf4zAbZ32Ft5rDQlWUwoOoTmViWeZN7Oz8M10vhf1RTHNzI226Xwk/c01KOrrsPOzVx2AM5zaLIpUUVQ4aIVZY1fliLXzUeZkok0zoKmYx9OzbmC9fieO9fSMVBIH+V/+OddcoAvQ8Me2EwJk01gXo7gzxxTv7UKkERFFi1XodlmQFP/5/Q2y8LizBO1qDzK5Qo1BAUUnit9T++klO/Ow92WOCQggnBZmVhqUsA8ucTLLWlqC2xF+uZq4poeSuFTQ+HfbAPPBSB/2tLm7+7nyW35SHrcfLZZ8vZfdfW1m4KZvOajt+TwivM8hgm5vLPl/KX742snRdfVchu//ahrXLw83fm09vk4vX/qOGG789DzEksff5NgoXJUf6Hu6j7YSNV39Ww40PzuP5B4/TU+dk6xNNCT+XyaLRmMjKXEhL6wcIKJBOb4QOfw6J8T2x85ek0344PBHIW5RGx9HzF2NIqdLh9YTj4rTVbQkXSlJkI1cMBRDFEAqFimDQF1XP75XfiDyzXkp6GQGvAwQBpUpLwO+WrZeWNZdQ0Bd3gnK+UGjViB4fotcPooTo8SEFgjEzf/O6RaiSTfg7+sOWSD4JQalAUMWGGD/7ntRaE0G/e0ICIB4B0YdBHZ1/IPfWlaBQYCjOwNPcT+33X0QM+NFm5ZGZHY7l37tFfiWQqy6lUrcWAYEQIZSEhXNA8jMY6pJt46trxbRmEc4dR0i59XLs7+yNqeOul/eCPt9MayHQ3hLkxb84+d3/ZqBQCHz5032cPOrnnvstfPmBZOpqwoNJU32APdu8/OhXabS3TI3lhSRKBF1+rCe7sJ4Mf9FVP1eSuaaYxT+4Jm672f+0ku73T+HutOFzB/G7Q4iihNaowtrlZcvjjXTV2ll2Qx7phQY+eLKJueszCfhEtjwePVvT6FX43EHEkBQJXRvyiyjVCnzuAKGASMATwpCtw9rljfQxe1UaAW+I074258wwQW2WX8IPDNSeNodMx2ZvxR9whR1+/Hb8ARdOp/yLA5C/LJ3OY+GBv/zKfLqrhwj5z4/Nbk/bQYrmXInXPYDD2o42ex6dzbspmL0BSRTJLloJQH/ncdKy50fqBbwjMY/0xjSyilZgNGfjsneTnFYaqXcmQ701lC64CXNKAU5re1S9/q7jFJZfgXgONovHg3NPFam3bsDf2Y/oC6CfX4yqZxBvQydwhu17MIQ6OxVBq0ESJTyn2ki9dQOiN4AmNx3LhiURdZCvsZP0T1yFY08V3tpWgkEvYnB84VmGGXYmG/5/mGxDGYFQdLz/Uz/8e7iuSkHZt64PX7bTTt/W1wHCG7NxmKWpxBbq56h3K17RxVXmT7LH/RqVurU0+mP9AgDUWWn46sPf+eAzb8nWET3Tw9N4WgmBL386dnP11RdcvPrCiOOS1yPxmZtj3dl/88i5j6suBkJ0b62n6ZlDFN+xVLaOQqOk5K7lnHjkPS7/Qil9TS4C3hCHXunkin+ejXPAR2cNDLS6MKVrcVsDlKxIZbDdTfsJGxnFRpbdkEtakZHX/6OWjV8qw+8JceytbjKKjdz44DxOvNtDyYqR0LrDfQ/3cTYdVTau+bc5vPrw1FoApS6Vz4Y0q3ADGo2J+kb5H/9ozF6fS3KeEUmCnvMoAAB8niFOHXkOQaGMBDMDcAy1kl+6no7GHXhdA0iSyED3yah6TVXhwcTjGqDp5GuRtoM91ZFrlDYyAAAgAElEQVR6Q73hmd+wnr/20DORYwPdVVH9nTr87Dn1H0gEf0cf3b/+W1Qeh+HEPQC290b2UZz7qiMbrgDeuvYRL/n/GUnyY3t7P4JahRQIT9acg22kZM1BrTUT8CUeQFBAYG3u3QgIbCz6ctQxSRI5OSC/wpeCIurTHsOCSoXKGPYZsMxbwsBu+TZGhYVjnm14xfA4JEoi9tAArf4qKrQr2eeOTWKkXzoHbXEevlOtBHrkV7PqzCyCjgvvQzCthMCHhdr/3oEYDFF69wrZ47kbK6j57Xaee+B4VDTS5x88Hqnz/u9HZv3PP3g8KrrpP84YrF/6wUkEhYAYksgoLubln1QjhiROvheOl95d54zpo3ZHWJg+90D4fHuebUOlmfpMounL5IVAS9u2qAGs4Qxh0DCGYHjnp4fpqRo9t+65RpLZoPO4+gkF/VH3JVcv0f7kjkV9ni4ei2dZtsRL3HOmAAgXjJJXITCyWu84tYWU7DkUL7yWUwf+mvCyVUJie8efuLLofvZ3R4eFdgWGCIjRK4Hy79wIgDrZiK83PPDq82ZhKp5DwGlDl5VLPMSzvosAYWs8h2jFopTfg/TVtRHss+I+UCXrrAeQsu5SPI31F9yHYEYITJC6P+wmeW4Wactjs5Qp1EoyVhXT9W7iOr944a0lCaTT0Qr7W1yy4WvH6gMgeA5m1Gkr5DO0TWYAEwMim763DIVaQd17HdRtOXcx+sfDQPfJsSudJ5QGLZIootBpEH2BcKjuBAK4TUds/Y3UHXyOsmUfQ2/KpKd53+n9gdjfstseG37BFRjE6ouvXhym84XwpmzI7cfTGp4keTtb8bQ3I4WCuJri5zNwi3bMylR6guFNcFcovNrWCyYkSV4o+urbMF+6nNQ7NzH4v7EhJuyH9mNZuoKcOz9F/xuvEBgce+9Ln20mqSyDnp1NU2qJOCMEJsH+r/2di3/3MZLnZcccK75j6biEQCJUvT99klsUXFuJITdpyvstXpPN8ZebCfpCLLypmIEmB353EGfv9NCfTgdSLl8IgDojiaF3j2JeVkrfS/JhmKc7a25+JPLZlJKPKSXW03oYOT+BXZ1/iXw+e2/gzMlI8T9fibu5D0NxBtZ9jbQ9tR2FRkvSwpW4GmuwzF1M79bXkGOf582I5RHAAc/brDXehEMcYofrJdk2qtQktMV5BHoHZZ3FLEvDWgTj/AUY5y+Ie8/D1D/wryjUSgw5FopuqKT5peNjtkmUGSEwSfr3t8oKAUPO5AZIVaoF0e0Nq5OCIdQZyQStYZ2pQqdFaTagMOrxt/WAJIWTjSsElGYDwXMcq0STYiBzXenYFSeAvctN7qI0AKwdLkrX5zDU4qR+LCEQZ0mtNmkp//xqjLNSMeQmoTJqUOrUeLrtBBw+XC2DDB3vZOhYJ87myXkKJ4KgUlB69wos5ZkYcpPQphpQ6tWI/hB+qxtXuw1HXS8Dh9oZOCgfYqH/H/vD5ssSmBaX4DicuPlnIpzPZ7bnlQcn1d6iyaAy/UrM6owoISBKId5uGYlFdPxLT0Wi91b+8hNhIaDT4+vrIv2Sq+jdIi8AAEJS7MZ1vMF/mLE8hn1d41/herodkZhNU8mMEJgktpoe2XKVMb4n4PJHbiB9ZVFM+dEfvhVZPQQH7ZjWLiZkc6BKT8HX2IH5ktl469qwXL4C1/6qyIadccV8RLcXTUEWqoxkBv78eiR6ZOriPFb+6paYc7nbrWy766kx709QKjAWpmCZnU7uxrlYZqejSTHErb/hhc+M2efZtL50jKpfbgWg5q2Rga/kkhwat4+91AcQ/dHLckNuEiV3ryDn8nKU2tif+fAqJmlOJrlXVQBw5Htv0LOt/pw4/Rlyk5j18SXkXFYua2asUCtRGTUY8pLJuKiIkk+soOXFozQ9cxBvnzO2w9OX6DySmAA4O/x259s1HPtxdJDAiTwz+6ledt/77ISfmVwoiPEwN/VSHP4Bqga2sjhzM0d6X2NB+lWcGHhHtr4gcMaeQPgddJw6gT6vCP/A1K20x/IYbnv0P8bdpyZJh1KrouXlE2NXHgczQmCSBKzjV1O0vnxcVggUXFcZEQLq3AwEpQLd3GICXQOoM1MQvX70FbOQfH4CPQPo55cSHLTh7+pDV5JPcMCGv607bNd9muGX9Wza34gfBC/3qgrSlhZgnp2OaVYqCvX588Kee3UhlpywkClYlp6wEAi6Tt+zAKV3r6D0kyvHfd2Lf3A19vo+Dj/4Gp6uqVlNqYwa5ty7hvzrKmNyIIxF0S2LKLi+kubnj1D/5J4YQTcZLGUZI39M4plZyjNZ9fjtU/rMxoNZk8Hhvlfxh9zhpEW+To71v8H8tCuiVEUL//vTeNsH0RemE3R4KHvgeup+8goKrS7iMRyPMu1SWv3V+KTod92sSMWsTKEzIJ/EybnjCOyYupAgQXcATdLoYbAnwowQmCQTWZ717WrC2+tAlxmdPDt1cR7GgmRcbVYCnX0EOvtGlpLDweLOWFo6+g5GPvvqTs+gzziu0CjJ3lAWc35JlOh4M348nsKbFsqquM4HqUUmqk+vBvRJicVVAQiejo2/9MfXkrmmZMLnt8zOYPXvb+fwd19n8PDkI0pe8tTdaNNHT2IyGgq1kpI7l5G1toTD33ltylRWxqJUlFoVIV9w2jwzpUpLcmYZlvQSQgEvLnsX1t46QoH475iEeDpcBAQlPzqlCYe/H5M6Lape06OxodE1aZmkXXwp3q7w723o0C7Zc5RoFtIdaI4RAnqFiTna5bJCQJk88m6HrFOTO1uXbsTdOfWCdkYITBJ9llm2fLTlsSRK7P7Cc2x4/tMIyujNrIt+fRtbb/0jYuD0rG9Ylzi8pBwrI9cZZUt+cI2sWuroD97A1z89k8b01dsYbAq/NFt/Ie+II4e310npP62UHcxCngCeXgf+IQ9Blw+VSUvqovix9NUWHSt/eTP2uj52fXZi0UuzLy1j0Xc3jTr79w+58Q648A+60aQYwhFrU+VnpcbCFNb+6ROEfEHeueq3E7qmMxEUArkbK8L7O1P8zPZ88bmR328CzKrcTF75hvB5gz4cg62o1Dpyy9ZFYgrJbQoDHOx5KSIE9nW/wJLM6zCokjjUGx3kL++OVbjqejCVZ2M/1krHX/egMlkIuhyok1Lluh6TFGUWIvJWWWMN/LqCIrztreMyDw26/aOqmSfKjBCYJLoMk2y5b2D0QdY34KJ3RyNZ62dHlWuS9WSuLaF7S12clomhSdaTflGsyilg99K7c/QQEg1P7UOTPHry9+Lbl2GaFfvy1PxmOwHH+FZHrpYRv4DchWmcerdjXO0B0pYVoMuM/i7EQIj2V09S/ettMSaUmhQ9WWtKKb5rWVwrpyiVyThImpPJwgeuiisATj2+m94dDbKzemNhCplrSii4dj6G/OSY40qtKrJanCzFty9Fn22JKpuKZ5a3aS5t/0hMb52UXkJe+QZCQR+NR/9OX9vhiL+EoFCSUbCEkkU3kpI1hyGZZPNW34jZqD/kZm+XfMC9mgefD++jCDD/P+6i4697xvQYzlOXUapZBMAyw5VRFkJKQYVG0MX1GFYmmzFeVEmgvQfPydh9m/wvfhl3bTWdf3o8zpOJRlAqSF9eMKMOmo6kLpafHblax3Z4an35eIwQgPDewGSFQM5l5TGrDIDOd2rHnKX17W4es//cKytkhUD3ljr5jcwE8TkDbP7Jykjy7m2/SswUTp8TPZj17W2h+pdbcXfKe5L7hzy0vXqC9jermPfVDRRcWynf8WkrHAB1kh5BrSQw6Iq70lPq1Sz+4WYUmljduhQSaXr2cCS2lByu1iGaWg/S8sIRrnjjC7I6+iU/3Myuz/11XLNtOQx50UJmqp5Z0W2LExYCObMvAaDh8Iv0tUVH+5TEEL0tBxBDAbJLVskKAa3SiC80vlXtcPyisTyGOwMNuEU7Kw1XYw/1E5BGNrGDBLGF+uLuB4hON4HOPgwrK2WFAIC7IfF3XAqJuDtsePucU55pb9oJgfQ1s0lZVkTjH7ajMmrR5yVjPdJGwceW0/NuNVlXzKXn3WoyNszB1diH9ci5zzgVFyF+6ATribE3NAcOteFqs2IsiH4Z05YWYMhNivsyJkLuxjgbwq9PH6cnOQ4/2xCJkzRROt6q5sRD7yb0okhBkZOPvI9CqSTv6rkxx1MX5zN4uB1thpmCOy/G22UFQaD92X0yvUH5Z1fJqgglUeLYj9+m6734TklnIgZCHH7wNZb8aHOMIDAVpzH7Uys59fjEIr/KMZXPzFSUuHrFklZEKOinv/1o3DoDHccpWXSD7LFVOXdwfOBtBjyto56n4ke34TrVjbE8B9uB8KA8lsewhMhQqAef5KbOdxiHmPh+jMJiRDevGH9b/PzCvq7xrXgDDh+6dOOUW69NfSyBSTKwtxHHqR50mWbMZVkYS8JL8u63TpJ5+VzUSQb8gy4EQcAyN76r9/kge31Z3D2B/v2jJ6oGQIK2V2RmugLkXzt/UteWVJEVU2Y/1Xtek99MhLzFabj6vbj6veRUjl9X27enOeHB7Eyq/0s+neTwSk+dpMd+vB0pJKI0yOtlDblJFN60UL7/R7clLACG6dvTzLEfyed6Lr59WYwqZ6JM5pmNpfYcC5XaQMDnGNXLXJJEVGr5vRKN0oDdN7ZpZ8f/7sbXa6f96R10/DXsWOftbKVv+1sMHdhB3/b44Uz6gu2IjHPVJYXTewqq+PPs8QaQczQPTnl6TpiGQgBRovutE7iaB+jfVU/ny2ETq6DThzpJT9OTOwDofPUorc/Ehmc9HwgKgcXfv5rFP7ha9njt73YwdDwx08bm5w7LlpfctXzC1xcvD8L+r/194n2eJ3IXpFJ5XREll+RQsTG+92g8Dn7zlQnNlIati86m6JbFADgb+ujdUk3Hiwdp/bO8FcmaJ++UVcHt/sKztP4t/kx3NLq31rHtjj/FqH4ElYJLnr571NDmiTKZZ7bvyy9O6txDvafQGdNIy4vvNZuWt5ChHvnghzs7/8yC9I2k6QpQK3QoFerIvzOZ9YXLMc/Lo/i+Kyn4ZFgFpbIkk73pFlKWrsZYFKuWHeakdxcucZyrcklCaTESGozfLmn1JePr8xwx7dRBZ/8YhwMvpSwrovuNE5HNKtF3fpJ1y7Hw21eRfWms6SWEN3zbXplaZ47xkrpQfp8icA68DaeaHb+tonhNNlqTind+LC8gzxUBhy8mPLbarEVQKTDNzkKpV2M93EreTUtpf/5ATHulTh1TZqvpwVYt71CYKO5OG/17W8hcG23Fo1Aryb1iDi0TFDCJ8M2fZUVCkj/0b7H34WqX36AWVIqE4hn1NO0hNXsuZUs/hiAoGeg4FlkVCIKC9PxFlC6+mZq98o6Ny7JuRKc0kWmItXB6s/kXkc9yHsOIIq7GmnOSVEaVasFb1Yj7cK1sADlX1XEsi5fhPH4Ed+25TZ86FtNOCMRjcN/5S4oSD5VRQ96mueRcMSdunepHt8WdVcbDXtcna4miz7bg6R6/XXA8B7EPA5IoMdTiYNXnw7rm6jcSX/5aq+LrXxPB1TYk6x+hNmkJOjwkLSrA3TKANjNxNUz31slt8A/TtaUuRggAZK4tmZQQGOuZ/fK7vfi8owyQcQ6pTVr8CThSDnZV0dt6kMzCZcxZeRfBwM04BltRqrQYLFmo1GErNWuv/HM80ju+lJBnegwnL74IAN25SCrT2IH58pWk3rFRNp9A9zNPkb75RnLvvgf7gb04jh/B3xv/uwg5psbXQI4PjRA4nwgKIeLGnzw/B3NJGikLc0lZlDeqR2XbP05MyKqn7eXjzP+3y2LK8zfPp+6J8W3+KTRK2VXKZCx2zjcX3VPB+48cZc2986h5qz1hVUX/fvnNwaLV2bTsGltABJ3yIQzUZi2uNivOU91kXjmf7tdkzALjqOB6tk1NXJ/enY1IITFG3ZSyMBelTkXIO7GVcbxnNkzlMj2DfeG+m04lPrlRmxMTAgD1B5/D5x4ir2w9KrWelKyRSVYo4KW1Rj4EBIDd35fQOeJ5DCfCRJLKALh2H0NhlDe1zr/3fpSWJFAosKxchWXlqlGvof6Bf03oWifCR1oI5G+eT/7myW3ADtO3q4nqX8lvLo5F5zu1zPni2hhHkPxr5lH/5J5x6WszV5fIOpSM5iE8nSi/PA9njwevzU/AG0SpVhD0JbYp52gY2fRecld55HPhyqzEhIBLfpBTnI6j4zzVg7dLXscbL2Cgu2Py9vwQdt5ytVtjLG8UaiXm2RkJWaPJceYzk2P2PC0QVoGMRwgoZGIPxUOSRFqr3qKzfjspWRWYUwsjHsNDPbWjegxnGeIHMuxxj5hvynkM6/OKkIJBvD0dJC9Zhe3YPtl8CRNJKqPOSSfpukvwNXbgeDfWkkybLx+G/ULwkRYCU0HIE6D2sZ20vpS4d2tMH94Ae+57nrX/c1dUuTbdyNKfXMfBbyU2Y9Ek6Vn0nY0x5YNHOqj7w9SZE55LhlqdpJVYWPOFeQS8oYQFAIRny8MceaYuIjybdyY2QMbL6SsgoM9Lxjg7i/5ttbIqkMw1xQmdIylDg86koqcpnF+4sNKMtduHJMGVny3g8Jt9NB2VVwF2v3eK2Z+5OKY8e0PZhIXAmc9Mjhf+aCUUkrjvwfE5zgnxlkajEPS76Ws7RF9brI49HmcO9MMszbyeAW/0CsdxIjachcpoQlCEh0Dr4fjvhzNkjconYA2FrZGCUhCzIkW2jejxEbI5UWfIHz+XM/vxMv2sgz4kSEGR9ter2H73nyclAIZxNg0wdDw2vGz6RUUxMYbikX15uWxy745RgsVNN5beMRtbh4vuqqFxBVwT/aGojUhJlEgvS2Ll5+ZRfuXkZ10hTwBTaSbF96yj+LPrYo5r0+U9x89m/SfyuOKeAvRmFWs/noslXcMV9xSgVAsYktQERkn+E0+9Es9rfSzOfmZyZOWpSE5VojOMf1AH0CSnY8guBEFAk5yONiUzckyfFdbFK9QajPmzI+aUZ7YB0GfGD1chR/XgVkqSVo5ZL+hyEnCMvVLrCbaQqhzZK+oONrPCsIn5utUMhORXmKLHx9Bz78bNLzyd+FCsBDKuvZnki9bKHvM0N9D+xG/O6/WcenwXnW/W4O2fWj1769+Pk7Ig2vdBUAhhtdD/jG0OmyezIRx0++neWj9l13iu8dj8tB/qZ87GfEzpOpRqBaHA2FYmcpvxi28vp/1gL8kFExskz8Q/6KLjxQMRj+GzOduqKB6CQqD1hAODRUV6gY4dz3ai0iiwdvtwDPhpr47/mwp65BOyTzSUQCIGDBtvsaDTC7zwx/GrtUwFZeizCvD0tIEE+ow8zLMq6Nr2MknlSwg4bSh1RsSAD3PRHAL2Qfz2QZJmL4y0Sa5YBkgEHFaCnsR9ElTC1MXYaQlU0+QfsfhrD5xilmY+/aEOarzy76VCr8W8cRXuY3X4m6dHdrx4fCiEgKu2CikYRGkwos3ORZuTh+PoQUJu17i97qKQ4qgAJAkpJBHyB3G3W/H2OXE2D+Ko72fwaAf+IffEzzkKPR/U479/XUzcnvzN82h4at+oewPGgmSS5sY6iHW/X0fIKz94nE+yvvU5EASCvYMMPBHOCZv1wL0AeA5XY39jGwAH/nwK96APV78XR7cnIQEA4Zn62XhtPjoO9ZG3JCNhYRKPsTyG5eLvj0XtHisb7y3CkqHhyNt9KFUCaz+Wy47n5AcNuXuE8enfE+nvTJ78xQArLjGQmauipX58Vm/6rAKGqvcTdIUtW2x1x1DqjSi1BjRJaQwe340hZxburmYCzpG9ljPb6DPzCTiGEJTy95hjjLXUK7IsZcg3dQPvhJLKGHT423pIuflSen7+l1HrXmg+FELAXVeDuy7sLJK0YjWZ199K9wuTf7Dtr5/kxM/eG7vieUIMhOh4o4riO5ZFlesyzaRfVDRqTJ/cq2Ld92H0vAHnk6FnXsPf0hlZ4mvLiuj56e8ByPzap/GdasLX0MbCm4rxe4JUv9aKx5b4oCMnzA89fQr3oJe2A72TEgAw4jGsTjGgssRafMip4eR4+T9HdPADHV5qdw9F8kb/7eEGVKOEzAjF8Y1RJHjus4m3B3Im6VkqLrrUiFotsH/b+CY/jqZqMldcgd8xxMDh7ZHAcACutnoyV15B/6EP0KZmYsgtRqHRMnB0Z1Qbe8MJTEXlEaFwNnNTN8SUDXhbqR3cPq5rnWq0s8OqLteB6W+QMa2EgEqhISiOb7ZxoVEZzKh0BnxDfaAQMGQWEnBa8TuG0KZkEvJ5EAM+xIAffUYenr7RVy5tr5yg+PZlMSaHBddWxhcCAuReFTsjcrUOTXjDcKoxX7kaVUYq9te34TlagzovC19deKPN39SOuiAHX0Mbe56oIWtuMiv+qRy1XsV7D088KYcxXceGby6l6uXJ+5g463sxzEpHm2lhYGesGfBEE74MC4BhgqMIK6VO/nWdbCC50fjcN9J44j8GuOZj4w9R4R3oonPr3xEEIeIANngs7G3ttw/ibDuFJIr4Bntpe+PPkXZntnF1NODubIobVuL9tscmcFdjs970sYTrfuB8LqbMuS3xzW0EAUE5ejIfKXjunGOnlRAosiylwfrhSpidNv9iRL8PXVouUjCA2pJK5rLLaXr1D+Ss2kzP/rfx9HWQu/YGAo4hgm4nAVd8V3J3p41D336VpT+5Nqo8c20JpZ9cQcNTsREoK//t8pg4MpIose8rf5uam5wsgoAqPWwloZmVh+doDc6t+8h64F4EwHPsFM6tYfXK0ttn01dnY9ujJ8Zy4hyT8o2FdBzqo+yqApp3TU4YKjQq7Cc6sJ/oIGNDBbZj0dYm3t5z74ehTZNPTnMuz93eFOCajyfFCKvEkeKuOCSZtItybUaLK7Qq504abfvpcY8I5kxDKSVJy9kTJ6x0Ipw5sBdrFpChyueg+21Cp2MIKVGyxHA5A8GJ/a4Kv/otNBmZY1cEgtYhmn/2wwmdJxGmlRBw+qd3cLOx0CSlRdQdAF27XyO1YgVBtwNb4wnMBeUE3WN7/vXtls88lr95vqwQkHMO69/THAnupdGYKCxYR33D65SWbKSz6wCCIOB295OcNAuvz4rXa0WjMaNUavB4BsZ766MjSfQ8FBs3vecnsbO4toN9zN6QS+GKDERRYvfvJ76c3v/HaubfUMzexyYfOdU8N4eU5bPwDzgxlsaaS54PZzxtnNzO5/Lc3e0BnHaROQsS2/g+35jUqVjP0v9bfV2Y1RPLBSFHoaaCU94DEQEAECJEm/8UFbqVNPkTC3d+JsMCwNfRjqu2ipDDTtLqddj37ULQaNDlF2GsmEfrLx7G3z91uY/lmFZCQKWYnj+00ejZH+3NKCgU9B3eCoBvqJeu3a8BEHDZcXfFX9aeiSRKtL16krKzbMLjRY2Ucw47cy9AEJSo1SN6bLMpl9TUMuobXkcQFJQUX0VV9XPk563C6ewiEHARDF6YOENL75hN24E+fM4AWfPkbawT4ap/vygcxEurJK00iXd/GD+GfyI4a7txVHUiBkJYD8ZGiI0XQ2cqMZWkyZa7z2Fu32P7PGzYbCY1c1oNFSMIAoIQvScioIgpmwwaQd76SoEQ91giuGqq6Hr6j5GsgaaFS7Du3BY5ri8uJfO2O+j4/a9lndimimnnJzARJ5NzgaEwldXP3cuqZz8/rnbxl7ijL2vPpv3Vyc1ee3eN6MF9Pht+/8hssbfvBA5HByqVHpMpG5Uq/EMWBIHevhOoVKNnFTuXDJuIphabIyaiE+Ht7+5lqMXB+z86gKPbHTesQ6KI/iBiMPwiutti48o76uTDF4w3ufxomGbJCwFHfWKhEyZCT2eQwb4gR3aPL+zx+cLu6yHfFJ3cJs80D0eC4SQSwREapFi7AJ0wshLTCgaKtQtwhCae89m6fctI2lhAoY4OQOhpakBXUETSxfLm8VPFtBICSoUGaRKK4MXZ12PRZpJuSMx7czTcrYPs+ti52XRKhHhx2s+e9atN8quns52ABOHMjSfpjPKzfwJTm7BivBz48yns3W5c/V5a9/dNyqrHlKknudBMyiwzgjC5wdhckUPy4vhOZ36b/CBpHEeCldFQGTUY8mJDU0gh8ZzmiPjer3NoOuXH6Th3M9F43Huvkfq6bP7yl/jPsM66i5KkFazMvo3ylLWUp6yhLHkVdVb5cN8Toca3H4NgYZ3pVlYZr2e5/irWm27FIFio9U18hRkYiBZUCoP8no9p4eIJnyMRptkab3JmfIOeNsyaDFL1BfS7z13U0dJ715F15TxURg3Wo+3U/df7eDqtrH7hC9Q9+j75tyzFXJ5FzUNv0Ls1nEhEoVEx+74NZF0xF6VOTdDtp+etk9T9ekvc87hahzAWRqtElv742qgN34UPxoaJsNXG6hDrG8K5VBsawx6MHZ1hJ5fWth20tu2IOub1jp0aM55FymgB9hJhOJFM0BtizlX51Lw18SQaWx4KW2jUvtk66WxMrqY+DLPSMc/NAcBRndiG4OLvbWLHpyZvzrzoO/JJ6+v+sHvcUWvHw7F9HkortCy+WM++D86Nf8xYuN3xv7tBbztvt/xXVNmpoZ1Ten5rqJd3nU9PaZ8AmsxsgvYRVZ46NS2cgL4tWt2ozZPPXjhVTKuVQKt9cnHRBUGBTm2hfnDqZgFypF5UzLFv/Y29n/gj7tZBFj50c+RY+VevoPV/97H7Y49R8Y1NqE87fuXfGhYMO2/4LYMHWuh9t3pUAQDI5mlNWZSHJiXcp8qgIW157A+k47Vzn0Iy4IgfcXMyNGzromFbF6fe68Da7kKlnZhQya5MpeLqIlZ8ei6Lbo+fMCRRQp4A3k4rvj4Hzlr5UAHenthNf1NxGqmLx58c50wM+cmkr4hdhUiiROfbsXl3pxKlMhw64n9+NcXGAgnw2GMuZpd187nPjT0pmQg3fruCG2DCRGUAACAASURBVL994cKu68tizbqT110aUya6Jpe9bSymlRCYLDqVGbVCS1Hy0nN2DoVKSdMfduCs78U34KThsW0o9SO6vJ63TjKwp5GA3YugVGAqDlspWOZkYz3ajhgMMXSoBWNx+pjn6nijKsZBSFAIZK4Jx5VPX1kYM/MW/aFxpzGcCAGH/MaxuXTs+0qU7hOD4wogdyZDrU6Si8w0bOlgoH7iuZqH0WaYKfrUWjIvm0vebStk67TEiSFVcf8lk9obqLjvEllntN6djVMeuuRsXnjSylOPDtLTceGSOJ0rjCkaTGkaVNoLMwyaFyyOsiaURBHT/IXkffafSVl/ORnXhyeXnqZzG/blQyEEDGUVpG+8jqybbidpRTjudvYtd5Jx9Y1Yloy8kJ6ADYe/H8c5NDXVZVtwNo7o8qSQiKt5ZJZ05ueQLxDJR+tuG8QyLwdBIZC8IB9nw9gbVwGHj+73Yx2TMi6aBUD66f/PpGd7A4E4cfGnEk8ci5SMVZPfjxmmbsvEXf99dj/7n6hisNnO8RdiI02Ol0RyDLe+dAz/UOzegGV2BsV3LpNpMTY5l5WTuVr+mcqZC8+QOG0nbLSftFOxNjxxKVqUxCd/tYj7nl7JnT9bgCDA8ptGYnltvH82K27K476nV3LDAxXc/L2wl/4XnwqPQbd8fx5fevYiNt4fXnkuvymXq/6lNKrtMIHBAZwnjiGoRiaQtt1hL2d9yWzSNm4m6eK1SMEgg1vfPYdP4UMiBIxz5pGy9lIsS1eizQk/SPPi5SSvXodl6Ui0QKu3E5u3G5t3chmmRiPswxI9qztzlhcvTk/L/+5DUCpY+dRnCPkCND2ZmN5SLhF96pJ8BIVA+spYFUH76+cnTMTgUXnPZ7nsVxeK4U1la9vkZ8vO+l5QCGgzLVgPNsufzxug9rEdssfKP7eagmsrZY/FI31lEQseuFL2WMdb1dhP/X/2zjs8jupc47+Z2V60q96rZVuSe8UFA8b0mkBoAUK4BAikkAapNwnJDQnpPSEkJJSAIRC6MZhmig3G3ZYty7Z6L7vSanuZuX+stdJqV9pVM3bC+zx+rJk9bWfnnO+cr7zf9PqPA3z7Vznc8vUMbvn61J3wxsLaM7S0tuRG/duxfeygqk2vZNDaksuaNWFV5L+eSGff3mwaG3LZuSOLv/xlFDrn92wc3mpjwflDDKGP3rmPP1y3DWuujqwZJna90BGZ37NWp7NrQzuuPj9GqxpTqgadWYXLHrbJPPOjGn7/yW0suywPQYBdL3RQsSYjqu4gGn9xDz0bnkUJDNlzel96Hvvm15H9Q5u4tgf+jL9jeqP+TzDDcHx0v/Bvul9IHP1aZFmEKIh0OA9NW+CZp9XO8r9/mgM/2oDf5qLoqqXocuInFBkOjdWAoSAVlUmLxmpg9tfOoebejQlJvPoOdFD9s9eZc+dQ5jG1WcuSey9BN4K++MiD2+jdPkqmKEEYlGBTAsehLuof20npNdGqN0EUOPPZmzn64DZaXz44aqIWCOvL9VkmnI32CaXRPJ7QZqWQUpXHQG0nWWfPiYkYHkTrSwfpereeVX+5Gn1udFzHnDvPZM6dZ3LkgffofKcubkIXQ56FrDUzKLxoToxTwCC23fEUtt2tFH7qVLo37cfX5SD3sqW4jnYyUN1K2efP5sgvYhOdTAQ/+vL0baji4Y03feQXhBe9n//MwjXXxA+Qi4c//N5KerrIVVfbqK0NYLGInH6aljvvNHPkcA7Llndht4c3BgvOz2HPS+Hv5rL7mX9uNv0dXoLHqLydvX50RolQQOaqe+bi7gvw8Jf3EPTJvPtIEylZOiS1wDU/mcfmfzRQcVoGyy7L56nvHcBgUSOIAqGAzN8+u5OL75odqRtBnLmoyDK9L79A78vjS5k5WZwUQiBZVHe/gqLIVGSspdtVNyl304o7zyV9RRlqq541z3+eoMvHwR9vpG9PMz3vHGH+vZehMmjo39/G3m88NWZbkkHDwl9dSe2vXqVny1HUFj1z776E/I8toumx2KxDI9H26iFm3x6deSxjeXF0IWXsvAHFX/w6jb/5ScK+xoP6x2OFAIDGqqfyjtOp+MJpuBpteHtcyIEQklaF2qRFnaJDk2aIMG/u+cHGE14IiBoJ+44GbO/XoU4ZO0Ao4PCy/a5nOeW3l6OJE+Vb/j8rKP+fFfjtHry9Tvw2NxqLHk26IUawx0AJJwmCcGL7kNsfSWIesLmQfUGYwtiEkwnp6SIvbfTyzjvhnXRXl8zhw0H6HTK//pWVc8/VsX592MNpwXnZESGw79UuVl9TyOa/N8Rt190XAAH62sN2sOb9DvQpHlQagY9/p5J/fm0vap3IulvLuPBrs2g7NHTydNmj656I+I8SAnpVCkHZjySqJyUAAGp+NnoyiLq/vUPd32KP/Vs+8eeo63cuCec5sC4sRFRJdL0Z9uTwdQ/gbrGjNicXbRjyBmh7pYaij88ftYxtd8uoenpViiVpnpLxIBGltiAKmErTMZXGD3I6mRBy+zHPziWlMg9FUUiZk4+jenQyQFeTnW1ffjomW9xwaFL1EU+vZKCEZKp//nrkunPjXopuXEPIG8Dfe/LkkJ5O/PCHsXPgmWe8/PpXMGvm0HL30B1DnohH37dx9P3ooK+HvjT0eUqWli2PDp2wvc4gXmfYUP7NRWF9vd8T4g/Xxt/Q7d/UOYFvcvzwHyUE8sxzUIlqGvt2fNhDiYKntQ/JpCF9ZRn9e1pIX1lGxuoZ7Pv2M0m30fTsvjGFQDxbgKBSUXjLF9FkhvMMzPzBzwE4/P27QJYRJInSO7+LqNPjqT9C1/NPEbD1UvatH9L17L9IXXMm2pw8/N2ddD79OL62WBVIw792U3LF9AaznAgIuvw0/P1tUEBl0o6alH44BrPFjUwUNBH47R523/0Stl1Dv4GnqZejv3k5zLg5LA7iyM82TLq/kxH19UEaG2O9yQKB8LMxmcd/QlpyaR79nV7qd46fFmTJpXmsuqaQ3109SkIoUcS8YDHmBYvQ5OajMpqo+7/vIHvDpwZBpUKdnoG/c3pVcv9RQuCILWxszTKW4/Qff7/m0eDrHuDgPS9RdtOpaDJMuJts1PxkI327kw+Ectb3Yt/bRur82AUl6PLT+VasG5kSDNL0x1+iKyym8NY7OPzdr0V9nr7uPFof/Ash5wCpa84k/4ZbafztvQBknn8p7U88TMDWS/q688i95tM0/OL/Yvqo+f1buJpsVHz+tAklVjlZoDKoyb9hFf17mkmZl0/DX5Pjq9/2xaco/sRCyj99SlyOp0RQZIW2l2uo+ePbBBxxVAqjJUb6L0RDHAEwHBPRku14duIeajuebRu1vmQyk3vdjeiKSkZ8Ej3IojvuouW+3+FtnL7g1/+oWZtvnotfdpNrqqDLNbQotr50kNaXpia5g66oGG9TLIFYInRvrqV789j++znXfIq+rW/jbYj/g3/wlac559XPxdzf/rVnCHnH58etycgk9bR19LwSJrjr3vAMmuxc0s86H4CeTS/ibWoAoOvZf1Hy1e+M2lbzc/tpfi4c2KY2aSm7fhmWimx0mUZUJi1qoxY5ECLo8uOzufD2uHA322l7rZaBIz0RnXayeHnt78ZVPlnsuXsje+7eGPczbXYKnS/vx93Yi6RPfjFXZIWGJ3bR8MQuIKwim3H9MlIqsjEWWNGmG5F0KoKeAH6bG3e7g4HD3dj2tNKzbfzv2WiY6DOrLLoArSaF3UfWj1pm4+m/HfWz44mxIounGlZzEX0DozhhDENB1jJaumJdeUu/dTdKKETXU+tx7PwAFIXye34ZVWYwh0DGhZfS8sdfT83A4+A/Sgj4ZTcqUUt196bEhZNE/s23gyAQ6O2h66kwP3nOtTegMqcQ6LPT+fg/QVHIv/l2BLUG9+EabJvCC4n11NPRlZSiMqfQ9sB9yD5fpD1P/dFIuYLb7iDo6EMyjZ1QfrQdX9+B8R8X4zU1nF9HEKVRPxsLAaePQ3+K7yZ5MsPX6UBt0aPJMNHz1sSjdBVZ4ciDiZ0BRiK7UMPn7i1ixlwDD/2kjZcfPblp1z9MWEwFlOSuZs/hx1kw8yoa2t+l39lCad5ppFtm4PbZOFD3LAAFWUvJyZiP3dHA0ZbX0evSKC84E53GQjDkZd+RpzDqM+K2lwj2za/h2JH4XVCnT6977n+UEMg3z6XO/h5WXd6UcQf1vPgsvrbWqMi+zsf/iRIMkn/r59FkZePv7KD1/j+CKFJy13ewvfpyOE9xMEjHI/+I1FOnp9P61z+FhcZnbkNbUITi89Ly59+CIFD0pbvGHMtgpPC4EYfZNGjvjfJHFkQRTVY2jl3bjo11iI9d1OmQzOPPLJUIpdffgT432svpwE+/knT9ii/dg7OhlpZn/jHFI4tFohzDk8WThxcOf8VorPHwlYuGhM2VX8hBDsHtaw8QGpbgRVtQSLA/PCZRowFBJNAdjh+QzGZCAwOoUlMJ2u2IWi2yb+KBhBZjAeX5a0kx5CEIIk5PJwebNqBWGVhcfg1v7P4ZoWOZAeeVXgaCwL66pyL1LMaCSJ0B9/F1PU0GuZkL2LLndxEmY70ujZz0eWw/8ABLKm8gxZiPw9XKviNPkmLMw+GaXB5j18Hk6F0k7cTpqpPBSREslixaHPtQiVosupwp4xO3rFpD/s23Y5w9lMN38JgWcjoRtVoElYrsq64j6+NXIOr1kV2zZ4RaR5OVQ/5NnyX/M7cBIGq1YSmvKCDL+LvGnhiFF82JuZeMKiVg60UJhRA1WlQp1nA9Wcb+9htoc/ORTGYyzrsYORBgYF84nWPKkuXoS8rCn517MUHH5KkXRqJv/3bse7biqN2Lv2/8NhxRo8NcHvtMpgPJRAxPBldV7OHRX7TTetTLJ+ftjRIAANlFWqrfd9LfG8TZF9Z9p6xYiWQ2YT39DCyrTkWTl4/1jDMQddGLhnH+AqSUFMwrVk5qjIGQh3bbPrYe+DPv7Pstbp+NOSWXYHfUEwh5ybTOipTNtM6ivXdvVL3hdU4YDFsn9tSuZ2nljaRbw0maTPpMDLo0llTeAIBKSuJ3H8e6E0pyTsnBsWOJJov/qJOAQW0lJPsxqCzj4u4fC11PrkcyGCj68tep/9H34pbRz5hJ5+OPIBkMmBcsGvpghM7F39VB6wP3RTxzFFkOu24eExqajNHdOHXZZtKXxkYId7/XEK6bGn1k9NuH1AUhj5uu556k7Jt34+/toen3YS8h2+ZXKfv69xG1OjyNdbQ9+JeIgOt/7x0yzr8EbU4+/q4O2h/7x6hjmyjsu4aipjNXn0vm6lhG1LEg+704asef1SlZqEwWQCHodCTMMTxZhEIKPq+MLIPPM/Tu/vy52eSVatHqRSoWG7nyC9l84ewaOpp8qNLTcby3FUGlRltYiGvfXiSjEVFviHiYADi3b8e0dCmSKUEMQgK4vb24vUPCuqV7B8tmfxoFhQ7bfrJTq+iwhW1DiiLT6zgaU2+wTtgA+uEYtEMhP2q1EUGQMOuH5pzHa2PP4fWsmv95Nu/8GU5PN15/PzsOPhimYh9lTRlsD4hqLxFUqWkEBxLHxwT7pjdh0X+UEJhyFlFBCO/aBYH+raPTPPhamsj79M0EBxz42kcP8Q709oZtAooCgkDbP/6Kv6uTgtvvIGizEbCNvhsuuHBOXBKyQddQU3kVupxCPK31GIpn0vr0g1HlHDvex7FjhKuaLFP34+/G7c/f043tT9NnjJoK1Pz6W9PavnlGFe7WBoLO8ETtevUAXa8eH1qOQXztkvCJ4EePz2TXWw6e/MOQz7nnyGGs69YhmVNQ/P6oTYcmOwd9RQWOrVsIuZyozGa8jQ2TGotGZaQs7zTSzKWoJC0CQiRPRXvvXpZX/A+SqCEk++mw7Y9sxAbrZVkrInXCieSjhcCiRWq+fpeZvDwJs1kkLS28q87OltiyJQvngIxjQOHdd3386lcTj4twerrx+R3MK/8ETk+Yw0tAYEnljShKiObOsKrP47XR0rn92ElAYPehfxKSY3flg+0tq7op0p4kaagsuRiTIYvUlCION7+G1xe9mJvmLog4X4wFT/3kua/GgnAiuJcJgjAlgxAFFbISpCrzbA72vDap04CAgF6VQkgJEpR9qERt5H9REPGF3GhEPd7Q9Afp5J9bGZdDpvb+LdQ9sj1ybV2wAk1aJu7GwzjraibcXzhO4Emc1ZOj9h4PBk8C47EJTCcESWLW7d+n4bE/4uuZXu6WQVx0YyZnXZnOl86P/e3iCYFkYaioINDTQ6Bn/MbkJbOux+np5lDzRs5Z+j121D5Mr6MOgLyMhcwt+RivbP8+AGW5p2E2ZNPSvSNSRhRVnLX425F6g3U27fjBlJ3WT0bkXnsjxjnzAPC1t+Kpr8O6ag29r2xAlZKCsXIuKouVvi1v0fPC6PFEiqJMOjz8pD0JnPLXazEfS/gddPn44LLH0UoGgnIAWQlO+gXLN87B4e8kXVeEgEhICSAJakJKgKDsw2RIR69KoabvLYLy9CX1EFQiZdfHUhfL/hAtz0cblgZq96FJy8TbOXokazKou+d/J1UfIH9RBq27wotO3oIM2vZMjTdLwcc+TcqsoaA5X08HRx/46Zh1LJWLscxdii4rH0lvRPb7cNXX4DiyH+eRauRjJF6a1EwyVqxDl5WPNiMHQZKY8T93xrTX8/7rdG0+vvwuyUCQxBgbkagS8RyuTdoNVxRV5KbNw+FuJyd1DqnmEg63hKNifQEXaeZS7AONmAzZlOWsiarbbttHSc5qfAFXRAjIcjBSLxDyxtSxXn4ezne2QyBI0BbeKUupFkL2sL5clZWOaDQQaG5DU1pIqLePoK0PKc1KyNaHoFKhBIOoC3JRAgGCnT1oivIIDbgibUw10i8/DQQBdZYV79E2vHVtGBeUo86y0vHHZ5Nqo+OJR8i+4pOY5i5Am5sfIcZMP+eCqHK9G56b8vGPxElrGN7+ucd556q/0fFa+LicZZiBRZtLur4IX3Dyu3OZIHpVCu5gPwoyalEX+d+szsAbGqDLUxf3eDiVKL16McZCa8z9pmf3RaU0VBnNZKxch8qUQtbai6Z1TIkgiAIFSzIRJQFREph19uSSqgzHQO1e7Lu34DiU/Ckl/+LrMJVWIKrVBAf6EESBlMpF5F/4SUTNUBIcSW9EY01H9nvxtId9wD0dzbibj0b9C0zAiD3VSClJJX1+DqJaQp9pxJSfQtE5M9FnGFEZ1OgzjOjSDWhT9RSum4GkVaFLN2AutKAyqBFV4ihZ4AQKMpewbPaNpJqL2Vn7CA53+CS0v/4ZslOrOHPxt6gqvpj9Dc8iK0PxKR6fHaeni/yM6AjywXrx6gCo87JJueAMRL0O48pFWC46E9FkRFc5A8OSuYg6LaLZhCBJWC47DwDzmWEjt2Q1o5szC13FDFSpYSJHdW5WpI3pQKC7n2BPP87th5A9fryHWyPXyUIJBOh49EHaH/or7tqDyP6hjaQSDOI+fIi2f/xlzJzlU4WT9iQQ8gUJdQ1EkpvU900tt3qbqwYBAQWFXoj8Peg+Nvj3ZDmKxkLqvFxm3rgi5n7IE6Dukejvq0qx4mo6gvPIAbTpU88TNB7MXFfAjNPzsOSbQFHoPDh1maH6D+yk/0A4bWTVXb9MUBp0WfkooSBNT/0VV8NhBo2R1nnLURlMBF1D2cA8bQ00PBbmexI1Wiq+9GPaNqw/LuogURLQ6kREEbR6Mco4HA/6TCOKojD72oUYcs0cfXI/hiwjuacWo7Xo8PV7wwmGtoRTa5ZeVEHQE0Bt1uJ3+Ag4fXR+0AIj9jCyHOD9g3+N22ev4wjv7I8OOnt1R3QU+baavyWsF1VHEPDurUEyGpBSLWiK8gl22xDUKjQlBbi27CTUP4B+URWq9DREwzHPp2HTzneoDnVeFpqyIrw1RxFTTJE2pgOOt/ZExj5oh+l/c3eUG3mycNUcwFVzAEEUUWdmIft8hAYcKKHjl9P5pBUCxwPDF/jBv+Pdmy4suffSuBml6h/bgb8vOnmJt72Z1EUryVp7Ea7G6c1ElAi1m5rpb3XSeWB60gKOByqjmaBrAFdDdLR2376p9fOfLJ6oWRBZQx7dNz8mTmAknC39ZC0twN3ppP9oL8Y8M64OJ16bm6AniNfmxjojDY1FS0ppKp5uF5oULaGAjL2mm5wVhbS93XB8vtwYUPwBzGetRpWbheu9nbh3VaOdUUSofwDP3kOkXLCWkK0PRVGiAhb9zW1YP34uzre3oS7ICXM6ZYbzU4smA4rXR6g/Nt3n1A5eGft6PE3J8rRzBI2GE1IICCqRxb+4nL49rQwc7qL46iWkVOaw7dbHGDicXCINUS2x5smbOfjzV5H9IQyFVtKXl7Dv7g0EXT5MZRks+8NVOOt6aH56D1mnlZO5qozd33qO3m0No7ar16aSl7kQf9CNIoeQJA2tXTsJhpKnik2dl8fy31yGt8uJt8eFv8+NqJJQm7UYS9JQm0bP07vlM4/hOByblUxlNKNJzcTd2oBpRiWuMQzDqvRU8n7yzZj73X98EM+uqclPPCgARElg5a1zePePsfmSjwec9TVIOkP41KAouJqO0H9wJ317RyH1miQEtQbJYCTjnAsxzqri6I+S82D6xMzdY37+7aui3VJd7QPUPz82FUrXB+Go1er7Y0/JjnpbzL0PA/3PRWfN8tXW46sNx9cEWjuwPzZCJ/7yWwC4t+3BzbEdeY8df8NQhG7/069MeDymBYtw7tk14fonI05IIaAEZXbc8a/IteNQJ6c+fhOpCwuSFgLaDBPqFB1dbx/bFb8PTU8O/bgzblpFyBtgx1eeQvYF6Xi1hqW/u5LZXziDLdf/Y9R2PT47R1uGEsRPVCUkSCL63JSYxCOJEE8AwPjUQUF7P+3f/yWSyUj6rdfSe/9jyE4Xga6poyKw5BtR61WIkkB62dRHG48HR+6/h7Qlp2Gdtxxj8UyMxTPRWDPo2bopYhSeKigBP8F+PyHP2DTbH+HDhyCKx0XnPhlYVqxGk5NH9zP/Slx4gjgpDMPergFkXzBhMo/h8HT0Y9/TQsWX1pJSkR3zedriQnrfbwgn4TiGrreOYCiwos9NnClsENOtEhqOw3/bOupn3vZm1GYLWWsvwtORgLdElgm0duA9dBTFH8B78DD+5jYU39QtiDlz0yhZnUPh8iy2PzRxrp2pQNA1QNdbL3L4T3fT9OT9OGr3krFiHcVX3x7DkfQR/jugsiQ/xz9MmOYuwLJ8cpHeiXBCngQQIP+CuWSfMQtDUSradCOCNE55pcDOr/2bU+77JAWXLsBZ18ORv7xLz/v1iGoJSaeO0asPJknRWPV42qfHvWwiCPmCVP/sNdo2jb6YSjo9ffu2owQDCNLkftaM265H8fpw76rG+rFzUWVnEOofoP07P0UJJjZYLbyqnLz56Rx+o5XK84sQJZG2vR++R40iyzjrDuKsO0jFHfegzy0ipXIh/dXHL/+EqNFScNPnUKdnIEgq/D1d2N99k4Hd4XiP3Ks/jez34Ty4j9wrP0XIOcDA3p30vr4xYizU5ReSfs5F6PIKEHVDSWna1z+Is3oPuVd/Gk12TlQmuZxPXIu+uIz6X/wQUaPFuuJUTHMWoE7PIGC3RY0hmT4gnKwo45yLMM1ZgK+zHdvrG3HVDqmotDl5pK87H11hMaJWh/Pgfno3vUjAPr53QVdUTO6NN4Mk4W9vo+fZf4f5vADT/AVYTj0dbX4Bwf5+bBtfxLl3N4IkkXbeBZgXL0XU6Wn+5b0EensRVCryb/8imqxsBGloA3D02+EcG+q0NPJv/2JMewDW09diWbUG0WCg7c+/x9ca3mxp8/LJvu7TtD/wFwq/fCch5wAtv/8NoSSigRNhJAXIdOCEFAIzb1lD0RWLqH94G0fufwd3Sx+nv3DbuNtRgjLv3fQIKbOyKLtxJQt/fCnbv/gEffvbCLn9Man/Bq9HCocPC0pQpu3VQxx9+APcLWOHjmvSs0hdtApvZ2vYyGTvGdMukAi6eRXo5szG8dIbBLt70VXNxHz2aTheeiNh3YwZFjb93w7O/s4SnvvqFtZ9KzYF5YcNd2s9prJKNJb4Wc+UY3wtKoORiVOuxWk3FMRVexBfeysIkLp6LTmXXRO1ABtnVWKcWUH7+n9gmDGL1NPWEfJ5sb/1GgB5N9yKp/4ozX/5LYJaTdYln6D1wfuQPcm9t0ooiGFmRWQcqaeGx+DvbA+PK4k+JL2Bwpu/iCKHaH/iIczzFpN33Wdoffh+3Idrwovtjbfh62ij67l/oQSDWFeuIeRxjfuZhdxumn/zc5RgkPQLLibzE1fR8tuwZ1jmx6+g84lH8TU2Yl52CllXXoNz727SzjkPw+wq2v8WzpeR99nP0/yLe1GCQVp++0t0RcX4Wppj1EHW09bGbS9l2SmYly6n48G/Eezro/DOb9D8858QcoW/j8piIf2iS2j40ffR5hdMiQAAEKeZPA5OUCGgyzET8gVxNdkQJJGlv7uSoDNaVaE261CZNKjNOgRBwFCYirdzANkfVu+kLy8h/6K5tL6wH1EtERjwoSgKcjD8o7//2cdY/qerWfbHq2n+9+6wYfjUGez53+en/RRg39c25RzsntZGNNYMfD0dCJIU5fo4EQhqNS1fGAoa8+w9SN6Pv5GUEPC5Aqy4pYqBLg9r7piP3xU/10HOuo8j6fSIGh26rHCynKLLP0PI50X2eQn5PHS/81JkoprL52Asnomo1UeYFdWWNIo+cTMhnwfZ56Vr84uEfEOLYdaaC8hYeRZKMEjQ5QBBQGUwIajUOGp2070lPu24Isu0vvhPiq++HSUUJDDQjyBJqAwmut5+id5tiZ9D3HZDIXpfG0oC76zeS/l3740qI6jUHP2/sOHedegAktGEZenKiBCQ9Aa6X/x3hNSv97WNqC2p+JIWAiFa/vaHoTEcCI/BL2fZNgAAIABJREFUNGdBRAgk6iPvhlsIuV00/Sm8GLsO7kf2foL862/myA++jhIK4e/qQF9YQqCnC8fOD2h98C/jfl4AstdD3i23hxdEQUBlsUT0+T0bnsd9MEzl0bf5dVLPPAt1RibWM9bR+JP/I2gPG8CDdjtp555P74axg/zitSdIEpmXXwmCQMEdX42UTVm5GvurYSO0oFLR/cR6ZLcbz+FoT7SC2+6Y0PcGUKemTbhusjghhUDt7zcz+w6Ryq+sQ1RLbP/iE5RcuzyqzOnPfTbqetVDN+Bp6+fda/8OgKe9H0mvZuGPLyXo8uGs72XPt57DURN2w3I32/ngc49TfsupVH75TAbqeth91zP0bk+cyOMPL5TyzsYBHvv91HK6f/O3+Tz3kJ3q7RMzKk6lWkN2xBEiSfpBv/2bvUmVS1uyJuaeaUZV1HX3lpcjVNimsipSF0brR0W1BlPZEMNrz/uvRwmBvn3vYyyZhSY1A5XZCiiE3C463liP4+BuxiIx66/eQer8Feiy81GnpCL7vXi72vD1TiJnrCCQf8OtaDKyEPUGBJUKQYxWdYacI3aRI9wjlYCf9HXn0bNpA6JKTeqpa2l7KMECO/y3EwQsi0/BNG8hmowsJHNKzBgS9SEZTaitacz8YWyshqjTE3IO0PqPP5Oy5BQsy1djWb6atofvj1IXJYuc62+k/W/3EezvR1dcQv7tXxwap390O1bU65rkuxu3vWN12x+4H8/RYV5aI04Rg+SLI6ErLI57/0TBiSUEBEibk0PfoW66Nh3g6H1v42oN70T2fi9agr+6NkxuJqoltGkGPJ0DqPTqyOfuZjt7vvUcciCEqJbIWlGMp8UWVcfVaGPPt8cflr3hsT5SUv+zDYrDc9ZOF8bLE9T+yr9ofyV5L4lUSyn2vnrqHx4iwstMq8BoyMLRMrobYFHeKnKzFtHVW039Y38YtdxEkHHORXga6+l55QVCAw5kv58Z3/5RVJlEfF7t6x8k79qbMC9chuz14GmsGxFcpDAyTeHwhEUZ51yEddXp2N7cRM8rLxDo7YkZQ6I+ZLcbn9tN98bY+SMf84xSQiH6t22hf9sWtHkFFH32y7T89fd4mqIp1kvOLGbxLQsx55twdrh46oohrhxBpUJXXEKwP7wOqDMzSYSgLZwrQ5ObT8AWnvOarGwGhiVwUWQZRDFuro2RUIJBAr09aHLzcB8avxBTZBnP0bGzCo4G/YxZMQJ6qnFCCYGc1aUMNNhRQjJKSCZ7dQl1T4xNDyDpVOiOCQFdphFnU1/UZ3IgFNPe8DoAeWvLaXtjcgFWP1sflvbvv+bkyft7Of9qKy+tD4/lxruyaGvw8/ITfdz7z2JECfa97+ahX4XdPX/9VAndHQFSM06on+Okx4yis9i+7/6oe922GrptY9tKmtq2IMtB1GrDmOUmAuPsOTT+dshgq80rGHekqXnhMpyHqsP03nEERnDAgWHm0OlI1OnR5RdFFmfj7Dl4G+uwvfHyqGNI1IfryCGsy1bh72wn5E6s5/e1hY2ouuLSKCFgLbVw5o9PjzDkWkssZM7NoHt/+JStBIOEnE4ESUKTm0fq2rMS9qXIMn1vvkHaeRcQtNsIDjhQggGce4ZiMQK2XkwLFuLatw9Rrw8n5hkD9tc2kXHxxwh0duBpqMM0fyHOXTui6B5GQ8jppO3vE1OFlX7r7oQZByeLE2bVsczMoPC82dQ/vR9XSx/ebifGgrAbV+UtKxDVEs0vH0Jt1IR5UDKNtLxSS9kVC3A192E/2EnRhZVIWjWNz1XjbO6j7IoFHHpgG4qsRLU3vI51diYzrl6It9dFyox0Wl+pJeDyM/P6JRx+ODn1ypwleu66JqxG+uEDhez/wM0bzzkQpXAcwepzzHzu4npyizR847pGFAV+8kgRs+brcTtDfPmKBgQB/vLyjOl5uCMhiqhzsxCNBgSNGl1leThOoLMHxT9+LiSrlEWRqoK9vrcmNJw1hst52/1UUmUrZ1yKQZ+OJGnYtufPACysuh5bXx3WlGKqDz+FXmulpOA0Ukx5LKy6nj0HHkFBoTD3FHKzFmPrO8qRxrAuN9VSSlnROhRFZs/BRwiF4k/q/Jxl5GTMA0Gkr7+eo02vxRYSRSStLpyJTW8AQUAymZG9noiqwN/ZhnneQgJ2O5rsHKwrT0vaoDsIfXEpzv27w3rxOPQCrkMHsK5Yg3F2FaJOj3Xlmqgscv7ONgwzKyLjyPrYlTFjSNRH3ztvYJ67kIKbPkf3S88hGY1hQeN10/v6yxhmVmBZuhL3kRoCfXYElQoUBU999Gar+PSiGIr04tOLIkIAoOuJxyj94U/wd7TT9a/15N2c2EnE/sarCGo1uTfdiqjT0fzrn0epa2S3m7RzLyDz458g0NND869/PmZ7Azu3I6jVpF90CarUNNwHqhnYuX3MOkN9TZzLTPZ5p10IoCjKh/6P8PlVKb6oShn82zIzQym7coECKIXnzVYyFuUrlpkZCqBU3rJCEURBARRTcaoy87rF4TqzMhUElMXfOSvyWbz2htcBlAVfXzv0911rlcpbVigaiy5yb+S/C69NVa75fEbkumKRXhEEFEFA+dGDRUrlYr0CKN+7r0D57p8LlOKZWgVQcos0iiiF66hUgiKIKEXlWkUQUQQR5b6Xy5Q5Sw2j9qvWmxWNceg7GdMLFbXerABKTuVpkb+1xlRFUmsVlSY8DlNmiWLKKI4pN9gmoKh1JqVoySWRcuP5Z5WylOW685T52tOUU/QXRO5XaVcoS3XnRN1Lk3KUZbpzlaW6cxRJUCmAssZweXicYqqiF0yj9iOKKqVyxqXK3FlXKFXlH1cEQVQAZWHV9YrJmBNVVhBE5dSlX4tpIzdzoVJefI4CKDqtRTllwe1x+yrIWa6UFp6hAEpmWoWyZtldyuI5N0b+JfNccswVU1JuXu6FUddFn/uaYp63UNGXliv60nLFOLtKKb/754pkHP3Zjfff8egDUObfMFe56YMbov4tvnXhlPYx/J9l1oLIezPROpJOP676hvJZEx5v/k23KeX3/HLUz6di/T1hTgLDYSqyUnheBcYCC84GO+mL8nG3Oeir6SJndQmu1n7Kr11M2xtHKL6wEnNZOo6jvWQsKaD44iraNtdhLLBQfGElPbtacbX2R7WXubQgUqdzayP9h7pJm5uDbX8H9v0dpM7Nwd8fnwZCbxC58JNWVGqBonItf/9ZFzW7PPxsfTGCAB+86eTgzvCuSmcQURRoPBzehbU3+fnpo8XIctjQ993PNNN0xMev/11CZ3OA9saxj5bZFWtQqXU079pAeuki/K4+0ksW0rTj+ahyacULAOip30l6aSVy0E9q4VycPdFG76xZK9GZM2jb/zqCKCFp9chyfONWIqgELfu8YfWCUbTgkvup8W1DRo6Q7gkIzNGuZpvnJXzKkPFbUUJYxAzKNPPZ5X191D7SLGWo1Qb21jyGWqWP/jAOj4soqseM6Pb5najVBjQaE36/k9GyXTndXXh9few68CCKIkcSqYyFFF0OJWnL8QWduPy9lKavQECguW83siLjCfRRlr6CHldDpNyAr5uy9BWIgkRr/34KrQvxBqMN9CpzCrbNr+LcH00zIYgiqhQLIdfkGXSPRx+DaNrczNLbF0edBuperp9Um9lrLkKlM9C762206dl4OpqwzF6Es/EQGUvPQJOaiavlKCnlcwEB+773MBXPQmPNIOT1YNvzLulLzoi0MbyOp6OJ9MWn0bXlZSS9kczlZ0ba0GXmYSwsp//QblzNQyce95GJ2QMA+t7ZjPPA9GXPgxNIHQTQ+ELYNcvZ1Mf+370Tud+1rQlRJUbcO4ej+o9DWcQ6tzZGcaoP/2xke8PR8MwQr40iy7S9Obp9wOOWuf3C2Jf0zqtjvYq+9anYyN2vX9sc7mdYvoMvXdYwan/DIQgCLlsLGqMVrSmdrtqtiJI6plx33XZyq84g4HHg6e8ko3QJbntsUmytKR1ndyO6lEyc3Q0EvU7ctonlInAr/ZHF1iCY8eCkQrsMCTUyIQ74tqIVDAQUX5QAAJAEFXO0q2gP1o3ZR7+zhdLCM1hY9Sn8/gEOHh2du11BobNnH8sW3Ma2PX9EEESqZl6GUZ+FStLS1rUTt6eHg0eeYf7sa5CVEPtqHkNWQlTOuBSjIRtRlGjv2h3OMNXxAYvn3HhMCAjs2P/AmGN1eDtw+rqxe1ooz1hDs30XnqCDOdnn0mAPqxGMmnTqet+LlCtOXYo3OIDb38eMjFXU976Hy29nTs55kXZDLiepq05DCQYIDTgQ1Bq0ufn4uzrxdU4N2+nx6GMQfQ39vP6NzSy+NWwY7m900NcwORdt2553MeaXYS6fixIM4uvtRJuWRfe21/D2dNDzwesoskzQ6SAwYCfvrCtQFBn73q1YKhYRdDuj2hheB6C/JuxUkL5oDbbdWyJt+GxddLz5LLnrLo8SAvkZi3G4w/OvIGMJTk8napUBvdaKx9eHXmvF4WqjuTtWveQ6NP2Z7E4oITAW4gmAeEg2eUY85K0tR5tupHnj6JG5KlGLosiRNHpqSY9K1OALDqBRmXD7bejVFnwhN2pRS6q+kC7n4WHldaTqC+l2HSGkBBEQkJXkaGMVRcGUWUJP3Q4cHYfJm7sOtT4Fj6MLU2YJCCJdtVsIep2RXb8gSqh0RnzOXvTWnKhyjo7DWPOraN4Z9rwSBImsmSvoOvzeuJ+dUbBEdvxuxUGalIMaLXt8m1ELYUI8n+JBI2jRCnp8ypAOWkFhq+d5FurWxlAbD0cg4OaDvbEGtt0HHo5b/lDdkEeZoshU1z4ZU6a37wi9fdFCf39trAdSe9cu2rsmRiymEtUEZT+KIiMKEqIgIggi4ogThUrS4g30IytB6nq3EpIDhGQ/CkPvtCLLBAcGyL70SkSDEUJBAnYbLX/7fVKeLsngePQxHA1vNNLwRmLX7GRhmbUQn60TjSiGN1uiCBF6kKGTnuz3oRzL9y17fcdsHwLWyiWojCmRNuKdDiHsnjy8DQgnhRdGGNkVJYRem4pOnUJIDhCU/YT8QZyeLlSSDqenCymZJPbThP+o9JLHA6Vpp9DrqqfAspABXzcOXwcqUUu/t41MYzmSqMbhbcekzaTX3UCavgiXvzdSvrl/F7nmSkRBIiD76HU1EFKSM8YWLrqQ5l0bGHwpBUGMm0FNEEQQBBQ5ROHii2jds5H00iV0H0nMnCmIEoo8Pi5zq5RFsSrsjaITjbzv2YBa0LJIeyZB/PgUDwd8W1FQSJfymKGej4zMHt+bBBR/xDAsImGVMrGFPhxK3alGoXURA74ugiEvxWnLCMkBbO5G8i3zcPp60KiMVHdsjJTzBZ2UZ6zG7e+j39tBnmUOLr8NncpMdcfGD/vrnDTIO/uKcF5oRcHZVEvG0jMIedy0bnqCtAWr0KZm0l+7B+ucZSgBP87mI5iKZmLf9z7WOcvwdDRhLJoZaSPocUbqBN1O0hasxNV8FH9fL+lLTou0oU3Nomf7GxScdw0tGx+LGlN4rg6q8o/dG5ajZKIcZFORXvIjITBOzEhbRVD2oVOnMODros1RjV5tQRQk8lLCkzYkB1CJWvq8beSlVOEPuiPl+70d5KVU0e44SIaxjAZ78rz2pqxSnF2J9aWW/Ar6W8NukFpjKpb8CnxOG/1tHy6R2387IpN+FOEdKXfs8+lOWvSfCkGSojyaRm5sBEmFEgoCwrGE93E2UiPbiNSJKTlqG8cDHwmBj/ARPsJ/DYwmEYNJYKBfxmAUsaSKVC3Qsu1tD92dxy8T14mEqRACJwWV9Ef4CB/hI1x2nYk16wwUlar5zB0WsnIksnIl1pxtwGD8aCmbKE4aw/BIaMways4uoWBlPqkzUtGn68M6wHYnPTU2mt9toXFzE3Jgeo9pgiiQvyKPxTeHvRvURjWCIBBwB2jd1k7X3i7atndgPzLxVIvaFA1FpxWRuySHwlML0BjVIEDAFWCgzcneB/fR9HYLIf/U7YYGv1fOomyy5mViyjFizDbitXtxdbtpe7+dwy8epb/x+FBuD46naE0hGRXpmPNNaEwaAu4Azk4X/Y0OuvZ2Ub1+/GH9g6i4fDbps9JIm5mKIUOPxqyJ/JY+h5+++j56a2107Oqkc3dyyY0SIbXMyoIb51F6Vgleu5eO3V3sf7Q6KlhqEEVrCqi6spKcxdl4ej107uni0DOHad8xfhvKYL95y3NRQspx63cyUKsFzBaBhcu1eL0KzQ1B0jIkertD6A0CSQQuRyBpJFZ9YwXpM1Mx5ZlQG9TIQZn+hn66q3vo2N1F01tNBNwTc5kejhNtLsWM70RVB828qJzTvrcaAEVWeOiMRwl6wj+IpJG47tWrUenHlmGeXg+PnvdEzH2jOhWtyoxVl4debaG66+W49fOW53L+H86JXD/xsX8z0Drkt126rpiln19CSkHiiL7eQzaeue75hOWGw5RrYtFn5lN+/gxE9dg7Hf+An+rHD7Lv4WoC7vFH/Q7HnKsrmfvJKky5pkm1A+Hf7oFTHhqzTKLnDHDF05dNy3O2llqZdUk5xacXkVKYfGTme7/8gAOPH0yKY6loTQFn/3Jd5Ppvyx4EoPSsEk6/+1QkTbSXkCIrbP/DTvY+FHZdFkSB1d9cweyPzYrbfvX6g7z3i1jb0sh+dz+wlx1/2jXt/caDpJH49LvXJVX2mWufp7c2Nv3luZca2fS8C0WJDQsZjuIzijjrZ2uj7g0+c1ESqLqqkoX/Mx+tZfQ0rgA+h4/q9QfZdf/Y1DVjQRAFrnzmsmmbS/816iBBFEifFaZUNWQauOiv5ycUAAD6dD1n//LMmLKioMKszURWAjj9PUhCcgciU44xXF8SOPXbqzjzJ2cktTABDLSNn9r58icuZdYlMxMKAAifjBZ9ZgGXrb+EnMWxmdSShTHLwIqvLp+Sl3aiGHzOMPSsp/o55y0LC57Ln7iUedfNGZcAAFjxlWVc/MAFGLMmxi+UUZnOGT9YE7MQQ/h9X/aFJZHrU760dNSFGMJCO9k+k+m35MzipPudf8PcpPqeCrz8rAtZHlsAjAWtRcv5fzqXU768LKEAANCmaFl8y0IMmRP7jY1ZBi7487kf6lxKBieNOqjqygoW3byA/FPyIvf66vvp2NmBx+bF7/KTuySHghX5UYtm0ZpCbnjrWo68eJTN3w8HjDn9PQz44+fqHQvZC7Jo39HBje99Kuazrn3dePt8KCEZnVWHtdQy9KIpsOXe5BObr/r6Cio/MTvmvhyUOfivGtw9HgRJwJCuJ21WGjmLhhZ9U66JC+87jzf/922Obhw7+Gokzv/jOeQty42617Grk70P7ad9R0fkJGbINFB8eiHzb5gXtWAPoudgLwOtAziaB+hvGn9yjcHnvPKuU6i6oiLqM4/Nw0CrE2+fD61ZE/2cSf45d1f3kFEVm1Am4A5gq7VjO2LH2+dFDsgYMg1kL8gkbWY0t3vmnAyufvEKDj1Tyzs/Gj3150hUXVnByjtPAaDtg3Y6dnYy47xSLMXRKQ9L1xUz/4Z5ZFSGx2mv66NpczPpFWkUrMyPKjv32ir2/3PswKKClfmReoP9Aiy+dWFUuXX3nkHPwd6k+l32+SXsfXA/iaCEZJrebkFn1aKzatFadGjNmpFkp9OG079/KuUXRnNztW1rx37UjsfmRQ4p6NN0zLmmClGKHtQ1G67g4JOH2HJv8vEzJ8pcSgYnjRAoO6c06vrfVz+L/Wg089/+fx5Am6Jl6ecXU/Hx6B1M+YUzOPziUdo+aMeiy0USVPR6oiOHE8GYY6T0rJLItd/pp3r9QepeaaCvPpaFsOqKCsrOLUVUiXh6kyMJKzmzOEYAyAGZPQ/uY/8/D+B3xlJLrPjKMqquqowKvV/zv6vob+yn52ByqfwKVxfEvLT7Ht7Ptt/tiImVcXe7OfjkIepeqee6166J+mw8KoLRMPichwuAXX/dM+pzNuebKVyVT9m5pUk/54A7QM1TtZGdbH+Tg7e+/w5d+7tHiw0isyqDVd9YEVkcBzHzonJ2P7APZ3tydAqDAuDt/9tC7bNhfvq9D+/ngj+dS9a8Iark5V9aFlkY9j1Szbbfbo+MbcVXl0edAPJPyU8oBAYxvF+AglX5Uf0Cke+YqN9kIYcUNn0lmnRvUFd+7m8SM4NOFsMFQMgfYu9D+9l53+6YcjVPHWLlnadQsCpa2M3+2Ex2P7AXd3fiXB8n0lxKBieFOmgkap46FCMABuFz+Hj3nq1s/VnsjnDlncsRJQF3oJ9s02yyTbPINs5Mut+cRdms/mY4qUnT2y08celT7Lxvd9yFCeDAv2p44TMvseG2+DaHkTBk6Dn1W9FJU/wDfp678UV23rc7rgCAsH56w20vE/QOGbEkjcTpd8c/9sfDvOvnRF237+iI+9IOh8/hj7E/VF1ZMUrp5DH8OUP4WY/1nAdaByLPejyoXn+Aoy/Xs+G2l3ny8qfp2je6AADoPtDDC595KcYoLKpEys4uGVffdZsaohbikC8U884OCoCufd1RCzHAjj/vinIEyF6QNaF+gbhzJdl+JwNFVnC2TR0PUTLwOXw8f+OGuAIAwNEywCtffo36Vxui7osqkcrLY0/n8XAizaVkcNIJge7qHt5N4lh24Ikaap+PpgOwllopXFNISAnQNlCNL+jEF0repcBaYkGbouHwC0d59Wuv43MMLcqCKKE3ZSJKarR6K6KkRpI0SCodSkBCo0tJ2P6iWxZGqTYUWeGVr7xG76FYI9lIdOzs5PVvbh7xfS1JvUhqgypmEdn74L4xX9pBHH7xaNT1SFrgiWDwOQORZ50M1CpDTMj+WHD3eHjzO2/Rvj15L5eQP8Sb/xtLmT1eO8yBOF5MPQd74/Lm7Hu4Oua3CLgCYaF1DGqDCn3aCFK949AvELffjNXllFy/Yly/x3RDkRVe+dJrcY3OI8u9c8/WqPkNRKmiR8OJNpeSwUknBEbuTMbCjj/Fcr2UX1BGSPbjDtjxBh30e8dPiPXuj7fGeIVkFiwiNaeSrKKlqHVmsouXk126gqyiJeTOOJW03DlIqtGNUdoUDeXnl0Xdq33uyLhcEZvfaaHh9WgOlvmfmpvwNJA1LwtRNfQqyAGZtiQXxtb3Yonppgr2I/a4zzoedOoUynPWUpy5MsJhNF1wdsRuHAYdF5JByBcKq53ioGtv9O8tB2Sa340lIgRiTsOmvFidckz7x6lfUSPRs/VowixpxxOHnq6NEWCjwT/g58iG6EU5fXbauOcScELMpbFwUgmBA48fjBizkkE8/V3J2mJStFmkG0rIMc2mPG31uBaNvvr+UY7DCoocpKd1D057M+1179J25C3a696l5dBrdNRvJRT0xakXxtm/XIdKF22ieedHW0YpPTpe+/qb2A4PxSToUnWsvef0MeukllujrrsP9iQdXxFvUpnzJu8N0Vffz7+veY6QP8Tdd6dw990p/PgeC6pRrFjegIM+VxP97tYPhWphPB4kLVtbRxVsnXuin2f9aw2jql9GqseMWYmFwPHqVzJoMJUnp6I6Hujc3cW7PxkfMeL+R6NtLKJaJH322MJ+5FwCPvS5lAgnlRDoqUmsFkkGDl8XAgI6VQq9noZxLRqj7Y66mnbQXreFoH/8SeJFtRhjbJwMGjdHG7zzluWMebQceWSX1MnnT1ZpY8sGvZPXGQ9/zqII993norsnNKp6QS3psDnrsTunjo1yujCW8Trkiw5OcveMXnYks2683yJZTHW/rqPddGysnvB4phqt28a/y/Y5Yjdt2pSxXUsno/6arrmUCCeVEOirGzsPaDzEOw2oRR29nkZqet7A5om/qI+Grr3jdy1NhIyK9KQNuMnAVhsdnaw2qGPcD4fDY4tOoGPISKxbHkS8XaC3L35CnvFg+HP+6U8HaGsLseFFL4FAfIGtKDK5qfPItlZNuu/phm9g9ORBIxdYr330ZykHo5+FIE18Ok91v6aZWWSfNX4vounC8NNxsgh5Y6OFE8XsjJxL48F0zaVEOKmEgKtrHHHhx9DfGOtbqyCTZ6pidvrpZJtmhamXk4SjZfxBX4mQOiN1StuzxxGWqTNij6mD6K2JdiM1ZBow5ycXPJW9MPbIn4wOPxGGP+fT1oR3XzWHRg/hD8p+2mx7yDAfpzzNk8Cgj3gymEoqkPFgsv0aSzMxzchMXPA44XhRMoycS8CHPpcS4aSJEwDwO8dPh+CxxR5rg7KfNucBck1VpOrysGhzqO1NLkm6f2DoiCgQTjgRT50kIEYlAxm6H0sPrLXEJpSYzI8fT1jGC0QZhL2uj4HWgaiXteqKCt7/9QcJ+xoronQyGP6clyzR8OKGsXdEeo2FnNR5VDePj5pjOES1iLXEStqsVKwlFvRpOixFFtRGFZJWhUorIWlVkz61jWeBPVmFQM/bhzGUpI+WsfO4wz/G6WsqcSLOpUQ4aYRAyB+K8oNPFqMdz2RFps/byoCvi5CSfLt+V4ASdRUhJUhbsI5MqQBBEFGhwiHbkJEpUJVz0L+NHKkEmRA2uSNcDhHdsRSLbmUABQVbqANzXuxOIdmgp3iIt9NMRG/w1FXPctn6SyP0DHOvraLq6kr2PbSf6vUHY4Rp2sw0lty2MIZuYfcDeyc87uHwu4YE/m9/5yQrM3xa6+qOb2TzBV102PdTmr2a+s53k+pD0khUXjGbhTcm5pGZSsih5FfF47ETnI5+TTMykUzaKRMAao3AdXdksuExO50tAc78mAVFVtjxtguHPbHAGku9NdU40eZSIpw0QmCk21WyiGcQ1UpGSlOXYfe2kWuu5GD3a3Fqjg6f4qU9WIdRtGASrbiVAYIE6Zd7KFJVEFJC4WTrioMsqQCX0o9RsOBS+vEoLvyKB7c8QJqUE/5uUhxj0hT7V4cSeCiEfCHe/M5bXPDncyNeSqIksODGeSz49Dz6Gvrpq+9DbVRjLbWqYz6rAAAgAElEQVTGFSqNbzaNGoQzGeTlSQgCZGWKdL0Z38PKaigg3VyGXpOcas2QoeecX60jvWJsg7wckPE5fPgG/AQ9QYLeIEFPMCai9CNEIzAQXnTDCVcmLwkCfoXezqGNQflcHd1tAdTaEycOYRAn8lyKh5NGCAiigKSRxn1MjUc0p1OZ6fU00e2qw6hOS5jpaSQGE6K75H6OyNE/VFOwJuraKdtRUDgi7yZPVUZ3qJWAEl7I2oJhP+R4Jxy1YRI/TZx5kcxxuLu6h1e+9BoX/PncmPaspRaspaMbl2ufPcyWn74/LTvXT1yuZ9OrXuYvUPP2Oz6CcQ5u/e5W+lzN6LXJCYGL/35hXBWZx+alZUsL7Ts66Kvrp/tALLUywE0f3DCu7/DfBkmvJuQNTFmcQOEMDXOWGNAbRJ5/xM7WVwZYfKoRe/fkqZ6nA4Nz6cyfnIHOOuyU+SHPpXg4aYQAgEo3ASGgi/2K/b4OCnULmJ1+Or2epmlNDTdc/98WrIv7mbcvdncbb9zJQh1H8MVzd4uH9h0d1D53mFkXz0yK3KvnYC+7/rqHpreaxzvMpOEPKOTnSxQXSXEFAEBIDu8SXd74i/ZIxBMAb//gXY5sODoudc1HiA93kw1djmXKTgLNR/38+I7WyPW+bW6qd7gZZzrs44r2HR08/cnnuObFK06YuRQPJ5UQ0Fl1MaHciTCaLry5P8wRLonqSY9rsnB1xhpyJxMybsqJDTDx9ScnBOCYABrWfcAdJOgNoLPq8Dv9+Bx+HE0OuvZ1s+uvE+daTxZ/+IOTm24y8stfjc4zYzEWIMtBLIY82mx7kJXRV4fhrKuDGGhzxtCMfIRJQBCw72ya1ojhE1kADCLkC55QcykeTiohkFKYMm461ZTCWM4erTS0C8w1V9HQl9hyHxeiSLwMF4IkgaKgyMmdMOK5dE4G1rJYd9BEfCmDMGTooxhbW7a28fYP302KPXG6cPPNRkxGkf+50cgPfhj/98+xVqGSdARD3jEFAISpQ0birWM04x9hamDfceIH7U03DBl6Lrz//Mj1iTCX4uGkEgKzPzZz1Ijd0aBP08XcG04a1+Oun9BYzKtOQdBoELVaVGlpuKsPoMnNQZWWhu3p59BXVSCo1UhmE7LHi2QyokpLY2DLe6jS01CCQdx7wzzs3dU9tL7XRv6KxARVyWDxLQuirhs3N+NoThzfMDybG8C/Lvt3UvWmGxaLyGOPjj1xals3oaAkFfMx49xoIVDzdC0du5KnI/kIHyERTtS5FA8nVbBY3vLcCXsJDSLkC+8SVaIGkyYDd2BiuX8VWUbU6wna+3Dvr0ZltUb+liwpqHNzEA0GBElCNAyV8zU2EejsQpMXzTdeN4K6FphQRqLUMivW0uiTQMMbye3KClcPebz4HP4T5qVtaAhxzScNXPPJ0d1cUwx5pJlLKc48ZczQfVEtxjgL+OLYZMbC8WJ3/AgnL07UuRQPJ9VJQG1QU37BDGqfO5y4MPEX0cbNTehUKZSlLsfh66TEupT9XRvHPRbnex+E3TgVZeh/iPzd9+JGEASMixfi2rl7qBzgb23D3xbNXlq/qYFTvrQUjWkocGzJZxey+XvjU1MsuW1R1LXH5qF+U0NSdQ0ZQ4usxqTGUjR+9dt0IDVVIJTACSQQ8pBqKkanThlTDy0HZEK+ENIwnpbxemLFUyd9hI8wHCfqXIqHk+okALDo5gVJT9qlty+KuXdkQx2SINHrbqR1oBqXv3fi1MODi83wRWfE364duxKXI5zpqvqxaK738vNnxGQoGgtFawopPqMo6l7Nv2uT9qhydgwZXgVR4IL7zmPO1ZWkllmTyuk8XRgYUKg5FKDm0OgR426fDYe7nZbenQnbc/dEq5YyqjKSHosx28iyzy9JXPAj/FfjRJ1L8XBijSYJmHKMrPvpWjZ+ftOY5eZcXcmM86J3bL2HbLRsbUUjGLDocrDocgGFmelrkqaNmE7sfXg/My+aMXSCEeCsn6/lpdtfobt6bNfHnMXZnPnjaMrogTZnODFIkqh7pT7qmRky9Kz46vIx63hsXnz9Xnpr7XTt66Z+U/2kSLTioaBA4u23EqtsbM7k7Dsdu7qiwvqz5mWSUZmeMBWnKcfIOb9ahz49eYK9j/DfiRN1LsXDSSMEOnd3oUvTYSlKIf+UPG764Aac7U7+n73zDo+juvr/Z2Z71WpXvRdbbrjgXummG4OpIbRAEgIkgTRI+eVNQhJCEkghCSTkpYYQwBRD6GBj44Z7tyzL6r1v77vz+2PQSutdSSs3bF6+z6PHnpk7d+6cnXvPvfec8z2tm9vwdHkJuoLkTM+hYF5eUm6XA68eZP1v5GTgarWeUDRAj7cekKmlTwaEfWFevOwVxi+riKVXVOlVXPb0JYDM9Lj/pQOxsHO9TUf6mPSkq4Wtf9vOrqf3jOr5jWubeWL2M9y2OfVAKJ1Vi86qxVJqofyCUuZ9fzbeLi/v3Pl+0mxVR4L//MfLJZfoiEQlDlQldxO1GIoQBRGzPpeGrk3Dxn6s/eV6xl4aTzS39NlLOfROLS2bWnG1uIgEIqhNasoWl1K4sCCBWbV9R0dSV9MvEA9zoYnpt5+O2qjCmG1AZVSjNqhQGVRD2lYu//eSgQNJXiV7Oj0E3SGC7hAhT5Cad2tpWDM6f/r0WQuJBuXJRCTgxzh2Iv7WJvztzfhbRpdvfCT096WZd0xn6lcmp3TPiehLyXDKKIGQL8za767ikscvjHn8GHONVCwdOUdw65Y2Nj40kEdVIopOmYZVVwicPEqgHwdePYioEJl375y486JS5LTrU6NKHq0CEJUiYy4qOyZ5TfWZei782/msuOG/x4Sz5dZbDbz/vp8pU4aO6XB6W1ArDZh0OSMG/0lRiUgwkjBZGHNRWUJ2t2SoWlGNq8X1hRJIATqbjvILSkcuOBQEYvQKg2Gvc4xaCUjRCKJOj7+5Hm1eEe6D+xDVmmOuAAb3pZFoSUbCse5LyXDKKAGdTYujwcHbt7/LeQ+fQ1rRyDl7AepXNbD6f9bGZfcJRfxAFIWYyN55smD/8gNMvXXKqLj9QQ4K61/xpIr0Mgtn/WoR1rHxWZO8XV7s9Q6CrmBCFK0gyARsacVmTAXmBP4jQ5aeGbdPG3U2p2Sw26OMGaMkO0uBSiUkzSkgEcUfctLQldrzPvrxGs765Rmj25+VZFKvbX/fgW28jZl3TU/93i/wmcO+bWPMccPX3BDv0HGMcLL3pWQ4dZRAujz7t9c7eP3GN/nyB9eOSOnr7fKy8r7VCecDEQ+HejcgCgoC4dHnKDhReOWaFUy9eTITrh6HSj98ZHPIG6ZqxUF2Pb1nVDMG61grF//9glhid4CD/z3Enmf3prwEVWqVFMzPZ/a3Z8TttVcsHcvmR7YR8o6eAnwwHn/cw5lnaGhtDQ6ZVCZNn48oqFK2CzSsaWLFjW+y4IdzyZ2ZM2L5noO9bPrDFtq2yflie6p68PX6k8ahfIGTGMM4ZxwLXPLPi+L6EsArV684afpSMggnQyJoQRASGnF4sEXYF+aZM/4dO9ZaNJSdX0re7DysYyzoM/REw1Hc7R66K3toWtdEw5qmhIxJIBPIlafPxRuWf5j6vi2fSV7aVKHUKSk+s4j8ObkUnVGEyqCCqETQE8Ld5mbPc/toXNs0qmQl/bjqlSsSVlVPzHrmiNppzDFw5fLL43iPPvzBRzSsPrrl9iUXa0fMJ6BWGijPOZMeVy2djgPDlj0ctvE2Ss4uYuylY9CY1SjUCsL+CH67n9r36mhc25RygvLPPYaZPWsnlJJx61Ka7/1zSgOsKi+T/Ae/RdTpofGbvz3WLT3hUKgV3LL+hrhz63+zkQOvHhx1Xan2JUmSjjpo5ZRRApFghKcXPHfMnplnmohZk02np3rUKSY/TzicDfNoB+3pt0/j9K8ORCzveW4fm/+89YjrA7jnHiN6vfytP/DAZxd0k3/+OCbcPp8Pr3wq4ZptWj49O1uS3PX5gcJqpuiv91F/40+RIseGdNG4cBrW6y445ZRAwWU30bt9Ld7mgZXnBY+cR8G8gSCxE9GXjoUSOGW2g441Wl37aXXtH9U9OWMWkldxBtvffuA4teqzx0hukiPiOMwpnn7ai3oEnr/REMgdD5xKCkAzppD0q85FU1YASpG2X/yTYIMcvKguziXrnuuJOFxoSvOJONy0/s/fiXp8FP7huwCUPPOLWF11N/0MpdVM3i9uRzTqkUJhGr76y7jnaSeWkn71YtTFuYRau+j43TNEnMNvw6ZdugjzBfNQGHUE6lppu/+f8gVBwHrd+RgXTkM06nG8tY6+l4Z3Fx8MXV4xttln07ziaQouv4WezR/ha20gY955GEoqCNl7aH3nRQDSp83DPOF0vM21dK2VA0ozF1yAsWw8UhL2Otu4eCPwydiXkuH/rBI4EhzjPC/HFdmaUkxKGzWebaPa6jraNHyHR2kfCz/nK5fpeOFFL7NmqvnRUh1PPOlh7974vdFUCeQEpcj4r8+jdNkUena2sOePa/C2yNuCuWePoezqqaSNy8Lf6ebA4xtp/Wh4ZlFdtokFj12FOk3L2+c+Fndt8eu34m1xJK2v/EvTKblyCmqzBsfBLjZ889UjEc0RIer24t6wm+5/voYUCpN93820/uTR2HWl1UzX314i1N6NpiSPiF1efbX96gny7v8G9Tf/LG4lEO6203jXb9GfPp7Mu66Oe5Yq20bOD7+C4401dP75P2grikZUAKazZmI6cwYdDz9HuNuO+dxZKEx6Ii4vxoXTMMw5jbZfPUHE4UZTdmyS+1hOm0nzG//C39kKgNpiI23idOqff5Ti676BLrdIdisdM5G6Z//EmK/el1BHXN4ATs6+lAxfKIFRoK16HW3VpwbbpCgo6AzUj9rWoUnTHLHxSaFWUHRGQdy5vpoj42YajIpxSr5yi4GsbJHvfs/Od79jSlACdR3rEQUF/tDwofnjbptD1txiVl33LOVfms6chy5jzU3PEw1FmPK9s9j5wIf07W2n8NKJTP3xeSMqAV+Hiw+XPUX2/JKk1w89ty2uvu4dLeQsKKXw4gls/dFb+DpcFF02CXWalqDjxKRADLX3EGofmKWqi3Li9voFlZLAIdn90re35qielXbJQgLVjfS9LGfv82weOXgxbcki7K+sJFgvD8j219dgPGM67o+3I2jkJWHUHyTq9R9V+wbHKTS9+hS2OWfjrNqNu2Y/mowc1JYMiq/7BgCiWoNCbyTQ1QaShL+7PaG+sD8Sx2ZwMvalZPhCCXxOYVMXEJEiuMI9o1IE+XPyqFoxekMWwPSvT0NjHpgNRYIROnYOzc55Yfn3h62vy1vLtrZX8XokTj9dhc0mYrGIKJNsDQVT8PISVQpKr5rK9p+/h7/bw/5H15N37ljyzhlD83tVNL17gI4N9QDUvrCD8V+dO2KdI+Hw+sxlNsqvn87BpzbjqJaNzYee20bBheNpfnd4g7ZSyZBJdUYDhdmA5fKz0Z5WjqjTICgUCKKAdByS6agKsvAfHB2ttCrHRuY3ryXzm9fGzvUrEffaneinjaPwT9/Du3U/nX95cVR1R4MBlAZ5hq3JHGDtDdq7aX37BSq++QsO/vVnBLrbCTn7aHjxH58mxomisWahycwFQUBjzUqo29vlIa14IGPYiexLR4NTSglkWifg8/cSiQaJREJxaSEj0RCSFCEaje8ls5bej8feQvuh9UjRCFpjBp31W4iEBmZdY2ZfhxSNYu+oQoqEMVqL8Dra6G6SU0eKCiVKjZGCCeeRXTaXjcvjBy+lWs/kc79NS+VKwkEvGUWnYyuYysaXfwBAxbybMGeWgSRRs/Ul0rIryB27iMY9b9NyYFWsDZnFM+is2xJrh6hQxdqgVOuZsvg7NO97P+4ZleuewN6eOHg0eveiUyQmsB8JC38yD0eDI2Vq5dLzSphy02lkTIjfDw37wrxyzQpC3qFHrR5fAypRh1oh/4lC8s/xuX97+fa3jbzwooe+vii//W2icXhc/vmx7aCqlveT1qPLNqHQKHHVyrNgKRLF3dCLqVRuu71y4J2lqCQnBDlG6K9PaVBjKLAQcgcQB7k4t3ww8mBx5zeM9NmjTJuqYtPmIBaLyPP/8XL+eVqMJoH0dJG+vihWq0hhgYLn/u1lx874maigUlL02I9o/81T9Dz7JgClz/86tZfoz48hipCiYTjU2iXbHkaBUEcv7tXbsL+xJuGaFAjS8dC/YsclT/2c+q/8POW6A93t1P/7rwAc+sfAe0sReQvx4F9/BkDQ3kPdc4/I1z7VjYGeDuqe+SMANU/8LqHutb/cwKX/O5A/YOFP5jHlpkksX/ZaSm07mr50NDillIBSoUYUlaSZClGrjOg0FpyeVnRaK25vB53dexPvUevpathGb0viNQCjtYjM4plxA3tva/ySNRoJE/TaCQeSUxbkVZxB5dp/4nf3fHr/fqaeH+97rtIY2b/mHzg6q+lrq8SUUUJ67kRaDqyKtaG58kOa9iZnNM2rOAO1Lo3O+i1xzyg87YKkSsCsyiQqRUZcBdS8V5cQ0XnJ4xfGeJb6aux4Oj2EfWGUWiVKnRJjtgFTvgnbOGvyHAiSTM3gbh9+dr6ldXncsUJUsbj07oRyX75ez9132/n5z8ysWuUnkmTLP5XtIG+bk7AvhHlMBt42J4JCxFhspemd0bmUHi08LXbM5Rl0fjL6xCuWNJEPPgyg18tBc9nZCsaOVbLxkyAej0RXVxS/X+LAgXCCAgCQQmEiDjfaSWX4D9TLW0EpItTZixSJYJg7Ge+WfTJFeu/w/u+Od9aT/+C3sCw9C9fqrWjGFOKvrCPqHXrry/7aR9huvIRgcwf+qgYURh1huxspEEQ/YwJRr59QcwcIAqHO1JIlnQh07EpkHjAXmrn8uSXHvS8dDU4tJaDUYrOMIRB04Q86cHv7Z24SXl93LM/sYDi7aiibfiVGaxFd9Vtw98aHmqdlVxx1u9Kyx9EYN3hLuLrrEBVKop9yIEfCARydAxTYflc3JltxXBs6azcxFNKyx+G1D6aflp+RXZ58y8KszCBCGEbYZt74u02kFZkTZh+2cVZs46xD3DU81vxsLbUp0lcPRrLfD+SZmM0motMLDJWsLZXtICkSpeb57Yz/+jz69rVTfv10IsEwrStToyY/Vqh+ZguTvrUIV30vvbtbUZm1BHq8RPzD7x8/8lc34qe8v1cu0yFJ0Nsb5be/T1wZicPwA3f9/RVstywh7ZJFhJo6kEKpzTCjbh89T7xB+rWLybh1KaGOHlp++BdsN12KYf4URL0WQamg+Mmf0fWXF/DuqCLU0kXH7/9F+tXnkbb0TIKN7firZOWXcfsyjAunISgUFD/5P0S9froeXY577Q4EtQrrly9CmZVO1O2j6e6HAFCY9FhvuAhluhkpHKHt5/9Iqe0nCt2VPSdFXxoNTikl0NS2KW4LSECIzXStlvKk9+z/+HGySueQUz6PnPL5eB1t7Hr/4dh1lSYx4fhoodIYmHf1Q4nt3f8+0YjcQUP+wzvqQH6B/jYEfUPPqlQaAxqDNelzkqHZV0m6emQa6oAzwNvfeI8zf7EwgYb6SNC+o4ND79QedT2D8bdH3XzzLiP/+7+eIWOQtOo0xuaeg1KhYUftC0PWdehfW1FolJz70s307m5l8/f/SzQ0vDvp1B+eS/b8ElRGDYJS5MJ3v86WH71Fz44WJn17EXnnVqAyqomGo4TdQXY/9BGdG+uHrK/5vSoUGhUT71yAPtdM0OVn1TXPpiCJgR2Z5S/7UiqXDL7d1TR/9w9JrwUb2qi7/idD3utavRXX6nhf9Z5n34xtLQ31PN/uREXb/Y9X6f5Hcq8o18rNuFZuTvL8bbhWbxvyWZ81Tva+lAynlBIA4sjBBm919NqTewlI0QgdNRvoqNmAIb2AwkkXYMoowdVdD0A4ePT5PsNBH4e2PJbk/EDdwwXl9ZdTaU1DKoJw0Ec42EL9rjdGbI+AiEFpQS2mxjsU8ob48AcfkT8nj2m3TRk1MVrIG6bx40Y5TeP2Y2+8mjdXPWRu4X5oVWm09OzArM+NmygcDikqceDxjRx4PJFf6fAVwbsXPQ7ArgdXDvncfY+sZd8ja5Ne+2Dpk0nrA2h4Yy8NbyTfovwCpy4S+tK0bEaTruR496VkOOWUwNHA09fMwQ3PkDN2UUwJODsPwaQLjqpee0cVXkfbESuU/jZklcyiufLDIZ+RXTYPZ1dqLnGdgQac4eFzEByOlk2ttGxqZfyyCmwVVtLL0zFk61EZVKj0KqSoRNgXJuAM4O324WpxUfV6NV17u5PScxwrzJihHpE2YjQsol/gCxxv9Pclfaae02+bctL0pWQ4aWkjjhUmnPF1jJZ8FGodkZAfr6OdfasfjSsjCCJTzv8uWmMGRKP4Pb20VX9MZ91mMotnMGb2lxLqDQe9bHn9f2LHpdOXYc2bhEprIhz04rW3sv9jeeZXMe8m9Gm57Hx3IDR+7JzrMWWUsv2tX8fakDfuTDKKZ8TaUbdzBZ11A0tipcbA1MXfjXtG68E12NurEtpXajgdERFvxEmbf+Q976npF9Do2U1fsG3EsscTg91G+11ELRYxFjHc2fXFAP8FTh6knz2ZqD+IMs2AqFXJEc4tPfR9tAddWTbm2RX46joIdTkwz66g44Xkq8YjxeeaO2gkqK2ZSOEwIaccQKHNzsffIYfuq9MzUGj1+Nqb0GUXEHLZCXtcKA0mFFo9gd4uRKUSXW4R3tZ6pHAYdXoGCCLBXtnCr8srASR8raP34DiVMDfjKvwRNxqFnoPOjfQF25idsQyALn8dde4djDcvQBRUBKNecnTlVDrW0hNoZlLaWZhVmXQHGql2yUbtIsNktAoTB50bALCocygzzkAlavFHXOzqk903y4wzydAW4g072GtfFWtPMiUwfrySO+4w8s47ft59N/WAKoWoIlNfRnHadPTKNJQKDSIKwlKQPl8z9kAb7e4qvCH7iHWVp89lrHUhAO5gN+uangZApdCRY6gg2zCWdG0+CBCKBPCEeuj1NVPTNzpabwCt0ky+aRKF5imoRC0KcQTODKDH18iW1peGbDNATd8nVPeOHOw41rqQ8nTZ4aC6dx01fcNTGPfL2aotwKTJQq9MQ63QE5aChCJ+3MFu7IE2avuGdnwYDlqlmclZF2BQWY9KHslg1mSTZRiDTVeETmlCKWoJRry4g910e+tp81QRigxvfxFEASk6YOOLM1wNPnccqKv/T3MHaWw5GEsq6FjzFqaxk0CSCDntaLPy0OYU4m9vAgkUBhPmCafT/clKMuYtRhBEXDX78DRUYygZR9DRS8jRizYrH2PpeNo/eh1T+SSioSCmsacNqQRKNJNxRXqwRzqYoJvPIf8O0pXZ6EUTGtFAc+AAuepy/FEPEhLeqJN8dQW7PKvi6skyjsUd7MYb7CPHNJ4OV9UJYzQ1KNPZ1P0KAAuzrgcgXZ3L5m7ZWDfTdhl9QTlqsyfQhEllo9KxDpumiJ5AM5XOtUhSlDOzb44pgUbPHirM8+OeY1JlsKbjGeZkLMOotOIO95KvH8fazn+nlN/5hi/rueceOw/8Oo0PP/SPGDCVri2gOG06WYZyRCGRblwlaMkyjCHLMIYK6yJa3ZVUdq8asbP3Q69KByDPOIEJmeehEuPpAhRKFVqlEZuuGEEQqendkNJvKgpKxtvOpNA8FUE4NdJ/p2sLmJV39ZByVola9CoLWYYxGNUZo5Lz8ZbH9JwryDIkOpQoRXWszRW2M1hZ95dhfz8pmiSHeOzikVNXCyKciJ3NU1YJuGv2o9DqUZktaLMLCDn7EBRKtDmFOPZuIexxxcqJCiXq9EzCHhfRUABRo0WKhAm7B4ywzqrdKHQGeaXQ007axJn4O4cnBQtIPiJSBAGBHFUpnqgDAZGoFCGK/OspBTW+qIuoFKHWv4txWWcjINBk34lCVJGfdhqN9h0oRQ0l1tno1en0eZtwBboYk7GAFsdejBobOpUFncrMvvb3jpkM9co0PGF5JeUOy/7WRqU1tiXkCHZiUspJ2INRH4Gol6gURiEoEAUFE9LOQEBAJWoQEJFI/sU6Q12xOpSfJvLZ0fs2s21XUOfZQZe/fth2trZFOe00efZXXKzE45Fob0/u0aNTpjE7/9qUlEs/8owTMKkzWN+UGoW2KCgoS59DhXXRiGXHpM9DqzCyt2v4300UlMzOuwaLdsBXXEKKDZgqhS7pO4WifrwhO23uypTafiwxWln3y3lTywuEo8PnjD4aeXR76+nxDb+Cz9CXJFUAh0Mpqpmeu4xdHf8lHD06LqDR4oG3p/GjC3ce9+eclEpAbbQy+ZpEN7WWrW/RvlueSVtnnoHGmoVj/1Zc1XsxllQQ9rhw11SSMfc8Qs4+eretxTb7bJRGEx2r38RQPJCKUmPLQp9fiqjW0Lt9PdHgwDaDICpQ6g2EHKmzAOoVZhSCMmHG0Bqsplx7Or6oC0ekm6a+HfjCTiZlX8De9nfo8tTS46kHwB3ooq5Xzo9bnD6Tbk895RnzcfjacPjbaOjdMmI7FGod4y6+k57qLXTs+3jYsr6wI9aRDEp5dusKD7xzmjqLLlc9BqWFwykNbZoCVIKGfY7V5OpGirVInAF5I0529L3DoqzrWdX+ZJJ7BtDcHGHBAjUNjWEWL9ZQVxcZUgn4wg463NXkGAfa1OquxBXoJBjxEpHCqEUd42xnxm0rmNSZI7xDPAZvszgDHXR5a3EFu9EoDFh1hWQZxsRkW2CeTJe3hg7P0DxEEzLOiRvwghEvHzf+b2zgUYpqsg0VjLOdgVqhB6DLW8O2ttSiUY8HDpe1L+ygz9+KK9CJL+xELepI0+aSY6iIydqkzmSsdQGV3auGqzpBHns736PdU5Ugj8lZF8bKpCoPm66YGTnLYsfhaJAOTzWOQBuRaAidykKWvhyzRlP+AN4AACAASURBVKaGyNSXMjX7Ura1nTiSv/RsNbllo8sqeKQ4BWwCAjNulX3jByuB4wmVOR1j2XhCjj7cdcc2mnRSzoVEoiF6vQ10ug9RYJlKs30XAIWW0zGorbS7DhAIu8kzT8Lhb8ekyaTLU4s7MHJiE1kJ3EVn5Tq6q45POrrjiWQ2gSPBcG6i/dAoDJxR/FUUgjxAbWt7lS5vcr/sw/fXJSnKptb/YPcPbUjP0JcyM/fK2PFH9Y8RiCQPahv83rX2zRzsGVqBDy5b07eR6t71KbX5eNkEUoFGYeDskjtix8PJ+vBV1nDyGGtdQHn6vNjxcPIAmJR5PoXmKQB0eg6xvX3FsO0uME/mtEzZezAY8bKm4Z9EpIGgvoXLMvny/yvlgS/t5aLb8lj1nw7mXpqB3qTg8XsPcfX3itj8Tg+O7hAXfzWPqWen85OLdzL7kgyu+FYBD99WibM3TG6ZjpqdA7FE5dNM/PSl07ilYnib0rGwCZwCG48nXkmFnH307dx4zBUAwL72d6nqXEWnW54V9isAgCb7Dg52rcbua8EXclDb+wndnlrqejelpAAAIkEf+1c8dEoqgGOJVNxEAxEPHe4BzymDOvWozkbnzmEVAEC3Nz7VpUU7cvAeQJcndWbMNE3qtA+fJQ5XfsPJOl0bzzU0nDwOVyTDyUOt0JNvmhg73ted3B17MJqde+LuzzWNTyjT2eCnqcrL/o0ODu1wcWiHC2ueBqVKYPHNuTTs92DvDPLibxvQ6hXMviQDjU4eev3eKF5nOE4BnGicAkrg84fhjEyDufC/8Hc//nAEBiiBVWLq+YIbHaPfq1UrUotO7097mgo0SuPIhU5CDCdrzWFyGk4e3lD8teHkkWMcF0dSGAgn5wIbDjZdcWIbXLKnQigo9+tIWEKlEcnI16DWDgyxkYhEyyEvBWP1bFjRRUu1j4dWnc4dfxxL6eTP7nf8Qgl8gf/TGGygVAzBYpoMntDoictSVTLSKLKijcYAfjJhOFn3Ow/0Yzh5HD5RGk4e6dqjT0CTrk0keRtqRz3Z6X6P0YAvyp++cYBfXbeXoD/K/3vxtKNu25HiCyXwBf5P40S54wIIKaamS3XFAPI+9ecNwcNcSIeTx+Ez/+Hkkep23HAYzW/T3RTA7x1QYAqFQF65npbqgTbW7/XwxI9qePwH8U4D0fCJ+y5PSu+go4WlZDIli76EQqVJen3nc/+PSDDRV7l4wdVkjBs+kYizpYrq9x5POD/Yo2n/iocRBJEJS7+TUK763X/gbI3njp9x68O4Wqtp2fY2Y87/KsokpHbRcJCalU/jbEmMDp54xQ9Qag0oNXoEUfbX7jqwkcYNLw/7LmVn34hSYzji54pKNaff9Ju4sqIyfhYXCfgIuLqpfONPw7blWCNDX0KpZTZWbcEp43Pfjxm5V7C+6dmkbpSHz5KrhjEgnyjMyrvmmMq5qmc1c/IHovRn5F7BmoZ/Ji07I+eKw+5NLg9RUKJTpsWdGympUfJ6FKgVugRFlQyRiMSdM7bwyMaZ6IwKDm5z8Zsb9tFe52PRVVlcens+6dlqIiGJ2t1uNr01QPNSt9fNkz+p4fFdc+ho9PPTJbuGedLR4XOnBNIKJ1B+9s0y17jXSePGV4iGgqhNVjLGzsaQVUz5ubdQ/e4/EpaS7s56MsbNxe/oxNG0H293M5FQAJ01l6yJi1DpTJjzx43YBkNGIXnTL6S3dgfujjoiQR8qnRlDZiGu9uRGLr2tgPJzv4JSrafn0FYcjfsQVRpsY2Ziyh2DqFRTeub17Hr+Zwn37n/t97H/a0xWTrt6aBbII33unpd+TTQc7yddMOtSADr3r6V99ypCXieiUs3ka3+KUqMn4Oxm3yu/PaG2DYWoYkrWxWQbxia9LiERjgYIhD1EpTBKUYNeZTlh7RsK3d46MvRyXgedMo3ZedeyoTmeWdSizWVixnmx43Z3VZxN41gh1cG8X9Y2XSJjZr+cw9EAkWiYqBTGrEmNmLDP35IgD4s2D7u/Na6cRZuLTjUwsA8nD/E4TQTWvdrFuldlp43+QXzLuz1seVd2tY5GJL49b2vCfWtf7mTty4n5Bwbj4+WdfLx8+DLHAp8rJSCqNJQs+hIIAt7uJqrefjRu4Oqu+oSSRddhGzsLa/np9ByKp6TtrdmO39GJpzM+0MTRtJ++2h1MuPz7Q64uBqNo3jJCfjd1q59Lue0KjQ4FWmpWPo29YYBdsqd6C+Xn3IKlZDJK7cjGo0ho+CCcI32upfg0emu2x66LCiW2itm42g7R9MmAm100HKRly5sUL7wGjTmDtMKJ2BtPHFvmjJxlWHWFcecO9W2gz9eMJ9SL/zBjYKF5KpMyF5+w9g2FvV3vMTf/erRKMwBmTRbnlNwZM3zqVOY4g6kz0DliANqRQimMTMsgICTI2hPqpc19gD5fMz2+xoR7RjPzPlwec/OvJxjxHrE8wtEgUSkSF9m8YwT30OHq6sdk6/ns6U2eye5wCAhk6EowKC3Uu3Yc0bOPBz5XSiBj7CyUWvnDqF/3UsLMFaB5y5vYxs7CNnZ2ghKQopEEBdCPgKsXV9shLEWTRmyHoFCOSgH0o7dmR9xA3I/2PauwlEwedX3H8rmGjMI4JaBNy0ZUqJJuEzlbB9wuddbcE6oEDlcAld2raHBsH6L0yWNY9YfdfNLyH6ZkXRx7B7VCHwsMG4wW1172d68cMgnP0UKlGDlIqcA8OU7WI8l5tDge8ghFfHE2hOGC90bCxPSz8Ec8gIRSVFNmmokoKPCGnbR6KglLQcrMs2h072KMeQ4tnkpcoW4CYXeM5r3UPBMBaHLvxazOJF2TR5N7L76IM1ZfjXMLRcYpqEQNfYE2OnxH3uah8LlSAmmF8gAd8rnw9bYmLRP2yzNBQ+bokz6EPDLRmKBQIkWGJrDx9rbg7qgb8vpQ6K1N3on89uO7JEzluf3KtR/Cp6mrouEkKQwjA+dSWTkdLzQ6d444MCkVn137Doc/7KLWvgmzJgulqCEU8aFUaJGkKKGoH0+wjz5/c0oBX5CYwyLVLRGjOmPEMvmmgUlJKnI+EqQij71d76ZEAAjgCHSQdYxcals8lXjCdialn0O+YSL+iAdv2E5UCpOjH4sz1EVECpFvmEi3v5Fy82x29rwdu7/INJUm9258YReTrOfgCfVywL6Wieln4wp1x+oTBRGDKp3dPcdn1QefMyVgzpf3gVU6EzNufXjYsqJSLdNLDzIQG7JKKFl4DVrLwN6lFI0QCfqIhoMo1PIMSWD4EDZXy8hJw5Pe15pcy0dCqTNnHq/n9huc++HpbqKneguFcy9HEAQ6K9cjRWVPiPFL5DzBYb+btp0jB+QcKxw+q6+3D5+BSiVqKbPMPp5NShkmdSbzC2+KvcPG5ueOer//cDfWLMOYEQ3JxWnTMY2gBASEOE+bkeQMo4vBgER5vFuTWka94bCv+wMy9CWxLSGDynpErr4AxaZpeEJ9hKUgnb4axpjnohI11Dg3Y9Hkka+eSGXfanRKE3n6CTR79mFQppNnmIBBaaHKsY5S00wiUohOXy0GpYXxljPo8tXhDHXG6nOFuhK2MI81PldKoD+Fj7enmcaNI9MNRAftn+ut+VRcdAeiQokUjdBd9Ql99btwtQ0YcosXXkNGxZwR6z1SKo7R+IcfSxzpc5s2rcA2dhYFc5aSP+tSgh47So1eVq4BHzUrnz7uCmwwDnf3NKjS8Yb6hiw/IeMclOLJsRLIMY6LDXhRKYIzePSrP3sgPqLZoBo+IlqjMDDGOn/YMvApkVvUHxvYR5IzyLIeDQ6Xx7FAIOym2bmborTTATg95zI2tb44KlbTqCTvAOzpeT/ue9vT+0HMoF7rHOD48oVd1Lq2xpwjDtgHlPC+vpWxFLmlpulU9q2JkTD21ydJUQ46hqbBOBb4XCmBSNCPQq1FVKiG3NsfCnkzLkJUyOKoXfVs0n3sw2fD/9cRCfrx9rSgt+UjRSNojFYi4SDtu1fRue9jQr7PLhQeZA6aHl9D0kFkaval5BoTKQA+KwyOIRAFBZMzL2R/98oR2TaHQyDsxhFoj6NSMKkzcQUTKUjMmmymZS9JecZu97eSqS8DhpezStQwMXPxqGV9uDzSNDnyzPso5AGyk0CmoRyd0oxRncGCgps40LOaDk/1kF5sucbx5BjHoRI1bP40R0Gy+JIhU5oO4x3XX48nbE9g4T1RXnWfKyXg7WnBlFuONi0LpcZAOJCcrCsZjDnyBx1wdg9pyFQb0o9JOz9P0Nvy6T64icYNr8S2g44EgiCiFOJ94EVBiUZhkN0MpRGSCCRBujaf+QU3sqfzXcLRIApRhV5lwaYrig1KLa695Js+u2jNfnR6DlFmGVhl5pkmkjeI52YwvKE+HIEOOj2H6PBUDztTru3bxOk5S2PH8wtupMNTTa+/iWDEi0JQkW+ahHWQm2era/+Qz+5Hk3N3TAn0y7nBsQNnoINwNIhJk/mpnCckxDakgsPlMa/ghqTlwtEgwYgnZXkEIz62t73G3PzrUYgqtEoT07KXEIr4sAdacQa6EAUFSlGNVmnGqLLG3FD7/MNTyx8NOn3HP6H8UPhcKQFH0z5MueUgCGROmE/bzg9SvldUym5xyYLIQLYzGLMSeUP+L8OUUw6SRNPG10atAKZkXYxZk41K1KAUNUmzRdl0RTHmyVDERzgaJBQNEI4GaXBsTerd0e6uIsc4EMthVGcMOYA0OLZT2b0Km64o5or4WcHub2NP57ufblENP2jqVenoVenkGsfjCfWxu+OtIe0HHZ5qmpy7Y8yZgiCSYxwXJ6PBqO5dR5v7wIhKoNNzKE7WRnXGsK62DY7tZBvGpCznVOWhFNWfJoEZkMfaxieGrdsV7GJjy79ZWHhL7JxKoSNTX06mfuQcA583nFqhlCOgq+qTmPdP7rTFQ7pz6m0FKDXxrmZBt+xhIK8i4q8JCiXFi65DUHyudOZRQ6U3gyBgHTMjZjRPFem6AoxqGxqlMaV0gSqFDp0qDbMmC6uuICH6sx+7O99Oidxtf/eHMU77kdhATwQs2lxsuqJR01gYVOnMyrt62DL7uz7gUN+GYbcXwtEAezrfoabvE3yh1AjsUpF1JBqKyXo0cj4aeaTi3eQOdlPbtynlRDGeUC8trhPn6nwicdLlE9BnFFB6xvUo1Dp5f1+ZOAuQohGCHju9Ndtp3f5uwnVjThllZ90oD1JDYN8rv8XvGDC+KVRaxl1yFzprIkEUSLRufw9nazXjL/0WO565j+hhLqKDaSPad6+iZetbI753P/o9mbY//QOkaPKO2l9m25Pfizuv1BqZsPS7KNTapO6YUjRKJOQjEgywd/mv466VnX0j6aXTUnpuX91Oaj/6V8Kzp17/i2HfTYpGOPThkzibB2i502bMxd/ShCY3D1GlQpWeQcTvQ5VupWPFi8PW93nElKyLYzPv6t511No3j7gfbNHmMjP36tgseU3jP1MevE92DA4q+7zL4+yKuznQ/gFtzv1HdP/nMsewQqWJc9FMBkFUoDHZUBuSh/u722vZu/zX2MbOJnfa4piPe9jvxm/vpHHjq3EKAGR3yANv/oXs084kvWQqmrQMQMDRuJfO/etwd9TJ8QFHse99PCAqFKgNyWfFIPvzKzWGpLxARwNz/jjKzr4RZ+tBnE2VBL3OWEJUhUaP3lZARsVsBFFBycJr2f3CgLKQwmFU6VYUOj2hvl4kCaRQiGDHZz8jP9FI1+bHFECTc3fKCVzs/jaanLsotcwCZB79wwe9opkZXPfofP58zjsE3HLsxmUPzATgjR/LVAZzbxnLom9MoL3Szge/3037fnlF/KW/LyBnogWFUqTjoIP3f7OLjioH2ePSWPbwHF68awOX3j+d3Inp/O2i93B3+xFEgbO+NZHJS4qIhqPsebOJNX8d3eA2mOnzWMsD4LKrDUw5XU1puZK/Pezknh+nkVeg4O7beti3K8hj/8pg4hQ1SpXAwf1BHvwfO1X7Q6zclsuD/2PnhttMTJis4v99p5f33/QxY66GR5/N4NwZbbhd8vf/6z/JXlg/uefI3E9POCRJ+sz/AEmtNkpjyi+WAKm87AJJp7NJen2GBEgmY56k0aRJcjmTpNPZJGRX/VPiTymoJa1okBSCUhIFhaRTmCSjMl1KV+V85m07ovfRGqRpN/xKmnHrw8OWy522WJpx68PJy4mihLwCHPg7/Pg4/v1rZXFK5ZbdbJFeWFsiqTXHp20TMs6RLiz/vnRh+felNM3ovod806TYvUXmaUnLfOONxdK0K0tix9/bsEQqmZ0pAdLUK4qlr792nqSzqKX5t1VI31lziaS3qCVAmrK0SDLn6CSDVSMt+eUM6db/nC0BUva4NOnezZdJVz8yT8qfYpV0aepY3addWiTd+db5krXYKOVPsUqlc7NOOnlcdrVBWr8vT6qYoJLW7c2TpkxXS/f9wiL96o/W2PWcPIVktYnSLx+2Ss+/Kb/Dym250ppdedIZ52qltHRR2lSVL6XbRAmQXv8oR1r2JYMESGq1IK3flyfNnq+JPdOglseriuxzpHPHfVcSEKRZxV+Wss3jpLMr7pbKMuZLc0pukhaNuUPKMU+QAMmqL5IWT7g3ru2T8y+TJudfFnfuWIy/J41NQBAUqFQD+8omYx5FhWegVGrRGzIpKT4LlcpAQf48TMY8lMrRBZ8cT1zxp+F9qwt1E8nUFGNQWMjWlGJWZqARDXE8JicbhgsuTSsYn5INwNOVyB8TQzRKAhH7SbA1eTgEQW6WQnF86CUG++67Q6nntAZQDDKYhqLJ4zF2rWhg8pIBzx+/I0j9FtlFdN5XKlj/+AF89iAbnjgIApSfIbuT7n69EWe7D09vgB2v1JFVMbC1qtQo2PLcIVp29+JzDOypq3Xy9xz0hmnZ3UvdJ6OPdTje8gBorI9wsDJEd1eU3duD7N4eJDdPbvsbyz20t0bo7Yny8vNuKiYM2Kv++7KXj1f6cfRFUShh7Dj52oqXPCy5UrYjzj9Ti8MeZcvGAVdWg8YGgFmbTZ+3Gb3GilGTgdPXAUCJbQ61PRto7tvBaflLUCv09Hob8YWcsTpEQUGWaSwt9t2jkkkqOGm2gwIBB8HgQGRcZ9deVCo9SqUOtcqIz9eLKCrk6NSuvWi1FsLhExeIdDQQBQUqNKSrcugLtZOlKabFfxCbugA4fm5nR4P735rBzy7dTjSSODCr9ENvPw2GxmQ71s064XjlaTuvPJ0aLcGRIM4fHgURUucDsg3i7vGFnUnL7H69gTPvmoClwIC92cPuNxpBAoVKJL3QwNIHZ7H0wVmx8mm58mC2+L4plMzJRGNQIYggKuNnBR0HE7da9rzZSPmiHO56+wKeveVj2vYNH0CWDMdbHkBs28Zpl/8NhyTUGvm59/7cwpwFGgxGEVEEpXKgPYeqBtri90kYTLJM3lju5a7vmykoUrL4Eh1vvOyNm88YNRl0ug6iUujo8FRh1uYgikp8n9JdtNr30OU6RDc1jM06C6M2i15PPS2DUs9mGMsIRfz0eupTlkeqOGmUAEBN7Xtx/7a0bgKguWUjIC9d+q/5/aP/wD4r1Hjiw+qdYZlyttlXGXe+cIKBOx6ZwJ+/to9bfjMWa46GB67ZhaNLnm1d8NUClnyzkMZ9Hl58oJaGfbLSHDc7jcvvKaZ4kpFoVKKt1sevr9wZu+ecG3IxWJT8/st7Yvc8vH4O//llDbf9voK+9iCv/qGere90o9KI/HnzXFRakcf2DKxw7pi8IaYQuio3kDXpDFQ6EwWzl2Bv2EfI60CKhlGodWSOn49tzEzETw3VhxuUh8NrW8p46Mcd3Pe7bLo7wvzotlZuvy+DYFDid/d2EI2CTi+y7BYL19+Rjkol0FQX5MXH+3j/tYHgNFGEy2+0cPE1ZgpK1XS1hXjzBScv/lP+bkIhifnnGrjt+zaKytT0dkW44ex6QqGB3vuH5/KZvkAeFM8qrY5r5/2P5uL1RFn7vpvbvmejsFTN8ifsPPXHnrg6fvLHHOacqUdnEKmtCvDkH3rZtHogfqXRsSuWsnBh0VfY2rocV7Cb4VCSNoMK26K4VImH0yz3w9MT4OV7NnHtX+fx4cN7WfuY/M1FQlH6mj3seq2BjU/G05woNQoOrWnng9/Ks84pS4u49P4ZcWUiwURDbcgXYfm35cToEy8s4IYnF/H7OW8M+y6HY7TyEAUlReapcfI41LthSHmAvAgd/G8/NBqBNR/6+N3P5cH5sqsN3P/QQGyQ3598pdrTHeE7X+vhL09n0N0ZSbAFZJkq8Ab76HQdpNW+m9PyL6Wlb2CAd/jktkpIRKRQzLhd172R8sxF1HVvYHLeEjbUPjnkOx0NTiolMBSOV+Tct9ZcxseP7GXXK7Xc/MJ5ZFak8ecFrxPyhckcm8Ytyxfz+2kvY8zScebdkyldmINap+S1726gbl28X/b4CwtZ8I2JpOUbcLR42PCPSirfGWY7ZAhYstVcfV8py39bh0aviCmAhVdls2BZFj88awtnXJvDPU+exk8v3Ia7L8Q9T57GO4838c/vVxEJSZRPN8fd87c7K+lt9fPL92bG7gG44f4x/GDRZhZelcOtD1ZQtcmBqzfEQzfv4UcvTo0b+AcjEvJTu/Jpys+7lezTziL7tLOSvks44KXpk9foq0s9H296hoLFl5v5w086+d4D2fz5hQLWve/hqlstvPeKkx0bfYSCErPP1PPbH3SAANd9LZ0fPpRD3cEg1fvkZfh9v8/m/CvMvLPcyVN/6mHCVC1d7QMeXRlZSr73QBbPP9ZHS2OImQv1XP1VC88/NjC5+OFtrXzrZ5ks+VLylc+csw3MPtPAvx/tpaUxxINP5OF2RWJ1mC0KJp6u5bHfdOO0Rzj3MhO/eSKPc8oHFEqn9xDOQCdmTRYahYH5BTfR7jlIt7cOu78NQRAQBSVqhR69yoJFm0eecUJcO5yBjmFlWrO+g4t+Oo0Z15RSs3bgu133jyoW3zuZHS/XoUtTUzIni71vNRLyRSielUHjtm6yKtKYf9vIOTQAxp6VS8AdovuQk/ypVuzNqQdrDpZHPwbLo8GxjVAkkCCPsenzE1hPa+ypGZMPRyAgMWuelu2bgoydoOK2O00p37t+jZ//94DA6y8lvrNaacCoycTha8EfdqFS6HH6U+OFyjVPxOlrxenviK0cjjVOCSVwvNBe2UfmOLmD28rN+OxBcial07S1i6xxFnyOINo0NV9+5mwi4Shr/rAbnyPIlY8s4JVvradu/cAPOf/2CWx6soqAO8Tky0u49Dezj0gJqDQiHz7TSu3OeMqFC79WwBt/acRtD/P2P5o5/7YCppyVzobXOqnd4eSNRwaetf297rh7GvfLs39BIHYPwIbXOnDbw7z3ZDOXf6eY/AoDBz5J7UNzd9az95XfUH7OV9ClZ8dsBNFwEGfLQZwtVfTV7Toi7qDXnrWza5OPBYuNzD/XwKMPdHHxtWaKx6jZsdFHOCxx97XNsfJVu/y8uL6UaXN1VO8LMGGqlguWmfnXX3t54mF5X3n9B/Gd05yu4Ls3tLB9vZzq75NVHv66vCBOCQQDEvaeob3B0m3xdVTt8TP/HEOsjqtvs/CDm1tobZCV7oYPPZRWxLvxSlKUnR3/5Yyi2wA5mCvXOD5lmoUeXwM72oefbUtRiV2vNzDry2Pizu99sxGVVsE9H12MzxGiaUcPe/4rf0fjz89nzs1j6Trk5K2fbef6xxeO2Ba9Rc1535uMKVtL0/YeVty7ZcR7EtoqRfGHnbGgsiORx9FMGs+/RMfNtxs5VBXm5/f28Y/nR445AIhG4PXlHj58JzHYNBj2kKbLo6lvW+zY6R9ecfdDIaopTJ8RtzV0rPG5UgKnT1OxY2fqe4jte/sonJkJQF+Dm75GF/lTbbISGG+hfW8vs24cizFLxxOXv4e9SR5Me2pdLLxrUpwSePVb62Mzn0OrW/namxce8Xs0H4hnDVSqBLKKdHzt4XF87eGBWZktTzaO1+xM5OgZ6R6A1oPy4CVFIeiLoDOmZqgWECgrOheFqKTug6coyJmDUqHF4W6i136I0oKzCXQ3oEBBadH5qJQ6Wjq2MK5sCd29B+hz1uP2tlNacDbt3TtxeeJnRV1t8ozdaY/Q3hIiGgGvK4pGm9xa3dEaJuCXMFvk9s9cJG/hvPnC0H7iXk80NnjHZJM9uu5weB1NtSEmTR+Q76wz9DElBLKBec8WH2qNQDAwsMLyhvpSomoYDHewm5q+T2hzHxi5MKBQiux/pznh/I6X69jxcl3C+b8viY+2/+2s1wHoqHLwwNTXkj5j14oGdq0YHWdXMmxs/jfjbGceF3m8sdzDG8vlfnrLlfJk6IO3fXzwtjx4X3ZW/Lc4e6xsszt3Rrz78sLTErebVCoBvy9x5ezyd2AzlBIIe2LHnmBqRu8W+y6KbbPY1ZJc5scCp5QSWHqZjh07gzQ2RjCbBO6910Q0Cstf9nHgQJjSEiU7doZYepmO4iIF+fkKHvydi7u/ZcRgEKiqCvO/Tw7MCNv39zH9S2NAkFcFffUucifL3glZ4yy07OimdEEOXQcdMQUA0Lyjm2lXlaHUKAgH5Jni4KWvFJWo35iapk+GUDD+QxJEAQT489f2UbVpYGCLfJqMOplTzUj3AAT8RzZjsqVX4PX10Na1A7XKiEGXwd5qOZ9xUe48eh01lOSfyZ6DL9LcsQmLqQSnpxWPt4P61rVIUjShXLL3lyQIJtmHFQS4+Jo0br7bijlNRKUR4rx30tJlZdDdPvQsvrcr8Zoojs4D6PA6JCm+DotVweq6xDSXT/2ph2Ag/t7dnW9zsHcdOcYK0rV5GFQ29CoLAgJhKUQkGiIQceEO9lLbtyklCmSFWkShEsmblM7pV5fyzA2rR/V+nxUCEU+CPKy6IhSCKkEebe4qujy1R0wJfbRQqwVUKpg0Vc1VhocMPQAADE9JREFUXzbw5wcTJx772t6JOz7Y+VHs/x8d/HPctZUH4inwRUFBu2P/cUsgBKeYEsjJETGZRJTKCE6XxKOPefjG7QasVpFQSCI/X+78eXki73/g50BVGINBoLhIwfYdIf7zYvzMr3pVC6Efn07pvGy2PVeNvcnNt+9aSt4UK0WzMnnzR5soWyTzpvevGAAOvNfEgfeakKJDuzQO9nI4WoQCUZ667yBffWgcPz5vKwaLkonzLXzyehcBX4QLbssn4I2w4dUOolGJsqlmdq7sid3z1A8PUr3VyayLM2L3DIeOOh+RsMScJZlsf78HvVlJX/uAy5vd2cD4siXotVaa2jfhDwx4YnT2VpKbOY3Wzu1k2yZjTSslEJRXKk53C2OLL6CjZ19cudHimQ+K6e2KcM18eQZbMVnD428MuEF+/K6bq26VDcf/+mvywWG43y5VjFTHyjdcvPi/dpx9ifI2mkS++X0TkgRvvOzlrMU6GurCvL1iK/NuMVBUosTpiFJ3KExRgYKcXCUvP++h+kCIG24z8twTYDQK3HqXCZVK4OFfJQ4+kWCUSDBK/eYu/rDwzSHbedXXbKRZFWh0Im//p4/OlhBf/nYmK19z0N0e4ro7M9DqRR79eTvX3ZlBS12Aj95wcualZnIKVRzY6cNiU5JTqCIrT8XHbzuZvtCIUiWw8jUHXW0hltyYTmN1gB3rPdz03UykKHz4moNDe/2YJk9DabGiTLPg3LIRw4TJiFot/qZ6muoqcc/JZd+2lwi7naTNmIs6M5uOFS8iarRYzz6f8M5W6BCwnXsRglKFa/c2spZciefAPnz1NQQ62rCdcyHOnVsJtMqrobl3TUVjUrPxLzuxlqUx/tJSDn3YiKXIhLvDS/6sbLY9uZ/i+bkUzs1h9QNbyKhIj5WzN7qwFJqYsLScD366Ae3Cyfz0eYHiBVC8IA9RIeBscdNT40BjUpN3eiafPLYbS6GJ8ZeWsvrBLbKn/xDIMJZxeuFV7G19izbHvmG/s6PFKaUEtm0L8Z27jRw8GOaN//q45BItapXMOl5aomTePDWVB+L3XA16AZtNJCtbZNZMNavXxFPRtu/vo3RBDh89vBspKtFV7WDChUW4Onx4uv3UbWhn2tVldFc74nyiD4e11ERvnTzYCaJA8dysY/ruG1/vRK0T+cPGOXjsYQ5tc7Bhhbyc/cvt+1l6dxFL7iokEpZorvKwc2VP7J6r7yslo0DLrpU9sXuGg8cR5rmfHeKK7xRzw8/H0Nno4xeXDeREDUf87K1ejiAokKQIhxoHcqz6A3bqW9bGchR09e6PsTo2d2xBFJVEo/J2z+Byo0HNgSCzz9QzYZqWsnFqrvyKBZdjYFWze4uPte+5+cp3bGRkK9m8xkPxWDUKhTCkUjgcoggGk4jFJk8sisrVuJ0RPK4ogSG8RA7Hi/+088iLBbz8lJ2O1hAWq4LxU7X85RddpFkETGaRPz3opKsjgt8ncc4Fsl1lzDgVL//bw0VL9eTkKdi5Jcj+PR5+9EsLP793wGax9BoDne0RmhqOPop980duqnb5uOsXOdRVyYP1dXfaWLXCQeV2H35flHBIYs2bDuYvlg2mmbkqDu72c+4VaTRWBzm4289rT/XyzftzqN7jp60xxHV32njs/g4KytQ8/5ducgpVGEwKnvp9Jz0d8negTEvH31CHv7WJrEuvRFAqaX/53wDYzrkQx+YNWM88j44VL9K3fjXZy74EgHn6bLw1B7GeeR7OnVsJ9XTh3CHbIYId7fStXYUUjaJKt9K3dhVh1yC/e1Ggq7IXY468ddi0qZ3mLR0Uzctl7yuHUGgUWIpN9NY60KZrYyv+/nKlZxVgzjWgMcmxAr5eP0FvGLVRFft/y7YO0kvM6KxanC1uFGpFrI7hFABAt7uWDyp/d9S/ayo4pZTA1m1B7rgzSDgiL71raj1IkkT4U6eP62+QO/iHKwcG+m/eZeTmW/uw26P88WFLUiUwdVkpq34vG15ad/VQsTiftj1yXVuePcj48wu47smz2PbvalztXsoW5uJ3Bln/94GQ+CsfWcAnT8iBN1OuKCUtb2iaBkGhACSkSHTQOZGmSg9fGzd06sA1L7Sz5oVEr4J96/rYty65y+xQ93xvwaa442/PjPeoWPdyB+teHn5La6gBfPD5w2l9+xXAcPePhL/e38U992fyp/8UcHCvnwd/0MENd8QnTPn5Xe1c+zUL519h5oJlJtqawyx/InW34nMvM/GTPw7w8D/7oey26OyLcNn01Gh/nfYIOzf5uPluK9ZMBU57lJpK+ftraYrwl987ufUOI2tX+WlrGZBFMCARCsnbXiC7JgaDEqrDaLSMJoHW5micfeFI4fNGCQUllCoBvVEkGIjy4mM9tNYH+cEf8qja6WPL6sQMV31d4diqt68rTNAvIQgCPk80VgdA96d2nvamEM883MXVX7exZbWbbWvlbdRoOIQUiSAoFISdA6saQa0mGgx82mfiIWq0SOEwvR+vRJ2ZTcQ7aEt20Cgb6usl8+LL8RysxHtIzoktSRI5UzKoeruOzPHW2KqueUsHM2+dhN6mY8MjO7CNsRANR1GoZXtUf7m0fGPKq31tmpqQN4y324cpWz/iClIhqlCIajINZbQ7K1EqtDLRnRRFp7bgDgzvQjxanFJKACA0iLdtsD/2UHjpZR+3f91AOEScPaAf7Xt7WfCNAQNU6+5epl1TTvt+ecDwO4I8d+NHLLhzIvNvn4ghQ0vjlk62PhvvW73u0X3Mv31iLCjnzR9tHrJNijQDuokluDdXojDIhkTtxBI8Ww8gKBUoLSbCvU6kUBhlZjrhbjtSKJFPXxSVqFVGtGozLk8bCoWGSCSASqlHq0nD7etEozISCLpQKNQoRDX+oCNuID7ZMNgf/6/3DyQ/uWpeHVpBT4VyBjWdu/jlHX2EpA4EBFSCml/c2YVKUGMQzAgI/P/27jC0jTKO4/j3cpc0TZo0abvOutYW59ZXcwWLChZEp8wJQ0Sx+kLx3cR3ey995d7vzUDBV6KooDDwhZM58Y2uc4ibXUbnhmLWkqpNV5MsS7xLzhdJ2mZJB87aVZ/f50Ugd5fnEkLyu+funv/j+CE+fGuJT94uU/aLLft5eV/rBczJidULpCeP5zl5fP1JcaZeb61zdORwa9genfqNo1Otr79vNMiTT4cJBi2wLJ59McquUYfLs60j4Z97qXZAceqzG4zsdHhoooOfrnh8+nGR1w7HmUt7TSNUb8fjz3Tz1GSCrz/PcyVVO7q/PFNi6XeP7l6Hnn6Hu4dD7H8hwcjuDn6+dOv93f9whEzaXWmjYWR3BxMHYjghqzERIFArKghQuDhDeGh4ZXnuuzP0PnGAfKr17pjcubPEx8YpzV/l+o8X6T/4POHBe8ieOkF5fo6+/QfJp85TLZfrFYDX7NCy+PLNM+DDwszqn2r6dIa5bxdWbo3euW+I5XSennsTTdude3+WgG3x/Xu1cRdn32lfYXTx0rXa9TlqAbK2jfVEQz0MJsYouTl2JPZSqbr4VCl7BcDa8BDYclVETdH1yB7sWAS/VD/FFAiA71OYThF9YBSnP4mXzWF3dfLHiemmXkPDXb17qPoeXqWM6xXZ0T9OofhrPRBC5Arz9CVH6exI4npF7ECQ9ML0ps1YtNGiVpzuQB95/xqD9i6y1QxhInh42Njk/CwRK8affhkfn0RgG51WlJR7e/eN/9uCQYuq71O5RSa/eqiLr74ocfUXb93tHMfC8/75T8i2LSr1P79Gm4fe2M4HxxbJL1f+dlWP9d6XE7Twq6zsKznxGNdnU7hLi+2r2TZqd9QNTL5C5qN3a6tsG7+y2ota+9xyHPz6aQIrEGhqe2DvNjLnW2dYu1lsIEpyJE769OYVNxzuGSfsxHErN3CrJWwriFspEQklmFv+oWm8wEZUEVUI3GmNLmWb7yH26BiBcIjCNxeo5FuPZmF1cnV/zWNj+c212Ie2P8hC9gKu176t/6p2n7WxrN06kf8LhYCIiME2IgS2TBVRERHZfFuiJyAiIneGegIiIgZTCIiIGEwhICJiMIWAiIjBFAIiIgZTCIiIGEwhICJiMIWAiIjBFAIiIgZTCIiIGEwhICJiMIWAiIjBFAIiIgZTCIiIGEwhICJiMIWAiIjBFAIiIgZTCIiIGEwhICJiMIWAiIjBFAIiIgZTCIiIGEwhICJisL8AJTh8VusAs3YAAAAASUVORK5CYII=\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!"
   ]
  }
 ],
 "metadata": {
  "coursera": {
   "course_slug": "python-crash-course",
   "graded_item_id": "Z5d28",
   "launcher_item_id": "eSjyd"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}