spacy_tutorial.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>.container { width:96% !important; }</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Expand the notebook width to use more of the browser window\n",
    "from IPython.core.display import display, HTML\n",
    "display(HTML(\"<style>.container { width:96% !important; }</style>\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# An Evening of Python coding: Introduction to spaCy\n",
    "\n",
    "### Eric Kelly (cardinal-innovations.com)\n",
    "\n",
    "### April 21, 2020"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Installation\n",
    "\n",
    "https://spacy.io/usage\n",
    "\n",
    "Go to the link and choose your options, then just run the commands that were generated.\n",
    "\n",
    "For my linux machine, I made a conda environment, activated the environment, and then installed spacy and the English model in that environment.  My options look like this:\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# spaCy is a Python library for Natural Language Processing\n",
    "\n",
    "If you have a bunch of unstructured text, like the text from a book or an article, you can apply NLP techniques to convert the text into a structured format suitable for analysis with code.\n",
    "\n",
    "NLP can help in understanding the meaning of the whole text, the relationships between entities in the text, and so on.\n",
    "\n",
    "Examples:\n",
    "* Summarize a book\n",
    "* Find the subject of an article\n",
    "* Extract specific entities or values\n",
    "\n",
    "### spaCy was designed to be fast and easy\n",
    "\n",
    "Other NLP tools: NLTK, CoreNLP, TextBlob (NLTK), scikit-learn, ..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Let's start using spaCy as we learn the concepts\n",
    "\n",
    "1. import the library\n",
    "2. load an English model\n",
    "3. create a document container from some text\n",
    "\n",
    "### Simple sentence: \"I love coffee\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import spacy\n",
    "\n",
    "# Instantiate an English model (try \"en\" if model does not load)\n",
    "nlp = spacy.load('en_core_web_sm')\n",
    "\n",
    "# Pass the text to the model to create a doc container\n",
    "doc = nlp('i love coffee')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Some NLP concepts and how spaCy handles them"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Tokenization\n",
    "\n",
    "Text needs to be tokenized, and spaCy does this for us.  Tokenization is a segmentation step...\n",
    "> _\"Given a character sequence and a defined document unit, tokenization is the task of chopping it up into pieces, called tokens.\"_\n",
    "\n",
    "(words, sentences, punctuation, etc.)\n",
    "\n",
    "https://nlp.stanford.edu/IR-book/html/htmledition/tokenization-1.html"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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CIyPA0jYCeWNbYOUa3kwtLUU/L9ua7hXWuUnJ9thnkXUtaPfY3XlrLyyw1UsG7IZf3mw5ls159WFDoiWCiWOvSM4wQ00/a2RKa/QoVE+NsVVdfnjXuZE7qrvNQ8BtfZnnkr+x8GCq+zpLDICVwWc9nJrXA9UsBISAEBACQkAICAEhIASEgBAQAkJACMx0BKrVQTcseawmD8vDJmMsl+OIM1JLS8l6yt221Xab26577WRlj91Uc4PEvPaF9sg9j9ufb3nQrUbu/VRoGYbB97JLG5VhZIqUD9emuIBVing/NNqYcaaDOZP7z5K57D35DnP+IGE5zA+5q83kZ1PfhYAQEAJCQAgIASEgBISAEBACQkAICIHmI1D0jcQwKmWGJTcRDYXiwcbA0rl57QusUi/bLnvuYBtvvcCqBV82R6zvvrr97uqbrHdFXwoqXvcN4aq1tDWZm5lwgsmWyvE9GZnSuryhwN9+OzWYzxf9ejg8Nf9h1cL6EcgVfHvBIcsgLy8ZmZ41FK6/oO4IASEgBISAEBACQkAICAEhIASEgBAQAkLAESgUc27vqQzZfPJp6RxOLdgYyuWyld2GVB7wlW1tNTvwZftYocO/V8serqfNaj15u+2mO307uSy4t/tDDWOa7EpDNosUqgmjUnjHhGfT2h5OeiNTg0C8lzAyhVdTdn04bvvUdE6tCgEhIASEgBAQAkJACAgBISAEhIAQEAIzAgGWyxGfu1Qqpv6yXI5ULPrOcW4oail2pONApcfaFpRs5z22T8vh2lvabaCnbLfeeKv1rfQy7veCbaJW93hM/sELJmxIyUpBsKcUEHzIcYmo4BieUmQnpSlFIJ/zyO0e+T2L1O7BuTySO++lnvN1j2wZqCQEhIAQEAJCQAgIASEgBISAEBACQkAICIFREHAzkhuICI2UxXd2O1FyOEqBu327uHJ1tbW2utdSudVtQjXbde/trNTVb9Vc2VoLndbWs7HdufhuNyxhZ8LYVPVd54pWHXSDUzIqZV5Oo3RDt4WAEBACQkAICAEhIASEgBAQAkJACAgBISAEZjMChOpJG8HhpeSGJ+I07bxol7SL3GBt0O9V7Y93/CktmRveac5tSwV3jBqyMaU40kpCQAgIASEgBISAEBACQkAICAEhIASEgBAQAnMYAZa8saoN41KE7Nlll52sfV6rr6aqpV3ulz693J545GnL10pWjJ3mGsJ5y8g0h/+A9OhCQAgIASEgBISAEBACQkAICAEhIASEgBAAgbrHV8KLiQ3HMDgNDg5Ye1eHbbn1lh7IiQhLBetsm2eLr799yJXJTUpufCLWU25odzIZmfS3JASEgBAQAkJACAgBISAEhIAQEAJCQAgIASGQjEwsmcPQVHWjU7kyYM/faVurlyp+veY7zbXYI/c+YoNrHKwUm8ljRXtw8EgyMumPSAgIASEgBISAEBACQkAICAEhIASEgBAQAnMcAbyXCATOrnMYm4rFglWq/bbpZhtZe2erG55y1t/bb0VrtaVPLvd8vrucY5bPeVCmmgJ/z/E/Hz2+EBACQkAICAEhIASEgBAQAkJACAgBISAEMgSwE2FkCmMTx5wblqxYt+dttalH+DZr8ThMbYV2u+9P91uB7ek81DeGpnpdRib9HQkBISAEhIAQEAJCQAgIASEgBISAEBACQkAIOAIYmEgtLS0p8Dexllg2h2fTllttbgMDA9bV0Wnda3rtwfsfsrwbnWKhXG5onVyx5lfyuUG/U/JATaSqH9ssly9b3belw1KlJASEwPgQyPt6VX6otXrZK6j7b80twbggYuqtZh6FEVSNfI1WY37U3FMaPwKNGLJLAvji9sk7SLslNKwdHn8rKikEhMBcRKCWdz53Tin4iKperSV+GRgs27x586xvoC9dV2oeAoViq/X29lqp6A77ra1p8JvLZXI0tl1uXuuqWQgIgZmMAIt7is4djAVrrgxzbC21OI/44NxTXuPDpr5eX4A1hH3F8kUPMF303cz8HSBH2bms5jF/lKYOgQKuTP7fYLWcdKacv696te6qa9met83G5uLXxzn91pJrs57lfda/YtBaN2FJncdwyrekjvvCub9NsVXd397RFSEgBJ4LAmnQ64IqjzKSfqRuanLe5LzQWnKFpN+DqaVoaYlsuZ53xSTn+SlTq2fC7rm0qbzPIlCpVXwYUU3GurwLMBgzGfP8Xw6r+7Px6QSbEBACQuA5IVDzgJhwdqlU9CCY1WTA7ujo8Bm+/mzb37L4+zkB+hwz9/X1WWdnp9V8AoFzFEZmV9va2oZnYZ9jlcouBITAHEGA8R/GJbi7VChae3ubrVmzJnEKwY5RqJWah0B/ueyYt1qr487OZeUBJgl8nE6w6UEm5ZvXtmoeHwLJSWJIcWrr7LBKdzYG4lJfn8te68je4VD1f2tk8grSj0va1/jegEoJgQYESi0F/y1lHjT8pqou0JjxzrmFo+6ugoVStjVk+r2F0T6zhWS/QZHshP6e2jra3MWzmj5p5wMMTP6JbTnxJlMSAkJACIwHAZ97tRaf+a65MZtxU7Gl6Lut5NMuLDWfYCjl/3aINZ52VGbdCLT47Hdff0+aRGhry2ZO83nnfA9ACse7m9m6C+qqEBACcx6BXD3vxqUWG+jr90gy2WAbQ3V/v3tn+BIhqcHN/RPpnN9p5XK/ld0bFQUIvQj8fQrevZh8rJ5jBYjSdEMgDE3z53fZMz3Lh41Kq1atsoVbt2eyd0j0rnMEhPcFKVkUlYSAEBg3Arkcbrjh/llM0fhrhRR/P9VZHcyswJmX09DvzX+c1dqzS7vG3bgKJk8xUt4XC6dlcj41gpGJd1IpZ9tyCiYhIASEwHgQKLm/eJ1tfX1GtsWNHLj7r1q9ymdn263uXFPxGAZKzUPAbXtuXOId1K3flRUMfQvmLbByf7ePX93opCFs88BXzUJghiPQ1tJqPd091tU13zmkakuXLvVds9qTJySeNUrNRaDfPZdIxZa8R67wiXefgE+z7a4DseQqPzRJIFtEc9/DeGrnnXQt6LClTyxzWev6rBts16xa47rVFknPjTRsZEJIx4sMI9N4GlYZISAEnkWAQS+JH2F40WTHoetYe5ku8d9kxAoiP0vllCaOADiCazIsETPFjXtp6ZwbnVhKpyQEhIAQGC8CxNhb09PjRiWP4+FxCx5fssTuuPM2e2rJ0/bMUp/hK423ZpUbCwL5Sj7FYmpxQ9Nuu+1mLzvkpbZsxTLbdOEmzvm54UmGsdSlPEJACMwtBHp6+pJBCc+lVg9fsWCjBdZX7rPrb/pt4vE17iWp1DwEkkeML1XkuGDefNtp+x2dx/ewzZ+3hZX8fVS1XLF54E9CzW0drW4S9LhmuaIbCfPW4wHAwyMwqh/Rk2kS+qAqhMCcRiAzHPmWjnjOsAzVbUeFglvtUzygurX4AJnraUkX8ZeGXAyTZ1PD2tc5DeIEHr5a990Q/F9+aNkKXgcVfxdpuZzHUWGZi5IQEAJCYDwI9Pf3ppgSzMT+6tfX2uLf3+IxPVZ5VZnxo1rWbPh4cB1rmbZch61csTIpiMtuWmKLb7vZ3vX2d9nK1Ss96HrBFZVsCd1Y61M+ISAE5g4C2QYNrhi7I0ZPX48tX/WMnfHD0z2KQs2XyxWtXMs84ecOIhv2SVmuyEYNTLR3L11pjz/1qN159x12wP4vskN8wsCq2YqPRieYDdvDud3aaLiX2jw4e9KhWvw9FlJMpuTVNBz7Za3A38mhwpXg2IVJvsZz+w9MTz9xBPhNYTliVjXnho5SiR9g1VasXGZLly+1G266MS21wHuQH3TKPXSUi+jE8WdzPnYKwZBXSIEd223zzba0XXfd1XbYYQff+UCuBhNHWTUIgbmJAB405Uq//fLa6+yGW3/nxo0VtulmmRcNgajZxEGpeQj0lXuSga/QmvMBbo/vdNNrZ593lr3nxP/jwWQ7UlBfJSEgBITAuhDo7l2TDNQDPv5e07vKfvCjM3zHLI8L5FYn7pVKvn2WUvMQIHxFCpbqZgqfcGcDh6eXLbHb/nC7tXZ12L6L9h9eYdW8TqjmkRAYydBU9JiIbECXXqHrreUBNzjFIhwPFcNk2zo9mbS73EiQ654QeC4IsFSL/FmwaX6IS5cusRsW/85uuWWxtW/ckQxMsbNco/eSjEzPBef15cVLrJ6CCRaLLfbMmqX24GMP2X2P/tm23XY7e9ORb1pfQV0XAkJACIyIAHE7+t2wcePiG6zusfYWbrzAVvesTlzjDpSWq8nINCKAE7yZL7FLqCuEfd0Zx7vb/prebrv4kovtxBNO8tplZJogxCouBGYtAgT37nVv1Bb3Rr3iqiutklYT1DxO02pr7+q0eln83cyXXy4PWmdXe9oRtMeDr3d1dFpHV96WLnvGrvv1r5ORSWnqEVifoQnZm/TUISNTnQ2WPDXmL6b7dV9PlwLi8gPzJSR+yOU9IFdlnmdXdPepf8XqwUxFoJ6rutt+yYNMV33GNWfdlR678BcX2vJlS63U4dteO8li+C3EjLf/WN3nKXtcjY8n4bW7cWnIexOsi75OsdhWSIOIe/50l/3MvZuOeeXR1lmcnwRd3gP3EpMdwyB0mFx5lYSAEBAC60CgWCzY72+91cq5AeeLqrX6zmbFaou1OK9Uaj6GSrN5Ss1CgMFsxWdPWwsdTtg5q1YG0lKXJ555wpb7rjcL2hY2q2nVKwSEwExHwJXdFp+AXPLMk/bQ4w94DD2P3enP1FJst5zHe8u+zfSHnL79b/HdtQcHyimOT6vv0hrxoPGQ6e1b7R5Nt9pLX/JyW7O61wpuo2AjJTifT953BUyDdKWmITCao0PB8S/UWSo3OBTnFgWW5XP4L2VjH5lpm/Z6VLEQeHbpKTGAWLJ122232fLlyxOZsoZVaWoReOjhB+yBBx7wd1NOFvmIncU5AcKVhIAQEALrQwAe7/HA3+H9HR6p5B9tgLa+OnV97AigbATW4B0fJgxWr1499oqUUwgIgTmHAPwBZ69Zs6YhTEzG3cEtcw6UafTAcDhcToqNkUKu6v1Moxc1QldkZBoBHN0SAhNFIAiRLR2JdXb77b/32BF9aTAMaSpNLQIY/B546ME0M4JRifcSwkvLhqf23ah1ITDdEYAruru7UzfhczgDHhF3bJg31yhHeRdhZELWYvxTEgJCQAisD4EYn2Nkahz7xY7E6yun6xsGAWQrk/OhK8XYXLrThsF/MlqRljsZKKoOIbAeBIgFFLMlNXfNXe7bK7e0sjw1U0jWU0yXNxACxZaCLX3m6bTrXygpKIksX6z51qpKQkAICIH1IQC/s3FD4gz/BIfEcX3ldH1yEAijErVhWMK4FzPek9OCahECQmC2IgBXwOF4y3AkhSEjjrP12WfKc/GOwugXnsKNvD9TnmOu9lNGprn65vXcGwiBbAlWtTroyki2HWoYniTENtArGKEZhBcuuXUP9sg7Ssohy4oJVqckBISAEBgBgUbDEtnCg0ncPgJok3grcA6+bvwuDp9EoFWVEJiFCIRRmkeL8AhwiPh7erzsMCY1vpPgdXkLT493NFov1rm73GiFdF8ICIGxIQA5siqu7q4ytXrFjRceqLSCMcOXV7A0S7vfjA3IJuWq1dh9rpJ5IRDmMa3Rr/p7ChddBf5uEvSqVgjMeARCGckGwdksOOcycGyYVxsz27SWllDU2c01i7MiJWTDvAO1IgRmKgJ4P+bdaz08ZRqfQxw+9W8VDudTd15HX8oNbZAU8jb2SJr6nqoH60NAnkzrQ0bXhcAkIAAZRqyfLFZHJZFmuOZOQhOqYgII1PNuBCwVfTfNTDFkl00GF/WqL7uQfWkCyKqoEJj9CBAvAi7PBsJMKGRDqnUpLbMfjQ3/hImrhzwPYtabXoTxb8P3SC0KASEwkxCIMToGJ00QTK83F/xOr9b2YApZO716rN6sjYCMTGsjou9CYBIRCOWDI6SYZk78WCqVhrfrnMTmVNW4EKiluCoRYBClsVFhGVd8xokBAAAgAElEQVSVKiQEhMCsR6BxEoGHjYGvZsE3zKsPrg45G7zNe4jlLxumJ2pFCAiBmYZAcERMFASHi7+nx5vk/cDlwevh2UTvxO/T4x2N1gstlxsNId0XAhNAAM+YZGAqFqzSw85DrU6Y1RRoEEOTO/aPWHsYp8hEfnamQyBCvBhFSG1tbdbb25uO5MeQRQoFqHFWd+0ZXvK2tLSkchhaOjo6UhsLFixI27pC7uGJFTM9oUhRhhQCgCP10y/Oo94wrJGfvocxJ/oS5aiLurkefY82UkNNSHl3wzWHq5AveZ/9HXmw75zvBMh7yfm7UxICQkAIrA8B+GxwcHCIt7KlF/Ua/JWVgM/g1ZhYCA6F197+9rfb4YcfnriO72vHBGnk2Tgn79VXX20//elPh2fdaR8ObW1tTdxN6uzsTOd77rmnHXLIIXbAAQekfn76059OMeg4R57Qt3nz5tmqVasSX1M/bYV8oV/IFfKTop/Bzxxph/YieC55uL62YhAGoZAHjby/PnxHu57VRcB15+phryYmdEqpr0pCQAgIgfUhkMaa/i/GrCydS5wyxnVYb37zm+2II47IxvhDY/LgT+oJTm/0eOX8xhtvtB//+MeJZyMfRzgcHqVccPHOO++cOPzAAw9M+T/xiU8kvuY8+Jjj2voB9cGxpOBjjqQoG32Fw0N/oK729vakU8DZ1EPdJK51dXWl+qKf6UaTEm1HnxtlCs2l52tSu6p28hCQkWnysFRNQmDSEYDs2cazUfiEAhACIsgeRQClgQE/wgHBEcKNjoXQaTQaUW9/f3+qf/78+cPGqmeeeSYpHxA7dSB4aA9hE4IxBBt5QrHgXigrISDC2BSCiTpCAQlhx714Hs4py7PwHEpCQAgIgZmIALwIt8Kh8CzcBx/yHZ674YYb7De/+Y0tW7Ys3YfvTz75ZNttt93stttus7PPPjs9Nvfg49e85jWpPIP9GPjDm/Ak12iL+0wQcP/uu++222+/3b761a/aJpts8ldLt+kD7a1cuTLlRS4gQ+hzcC+KBwoNbUd+jFRMRoTciAmJMEaFDKAeeLxReQlFgWOcz8T3qj4LASEgBBjH3nrrrXbZZZclo0sY2oPDb775Zjv//PPT2BZOZmzO5AJcHeNxuBeuJAWHw43wLZz8xz/+0R555BHbcccdbbPNNkvcu3z58r8y4sPblAnjFHUHn8eEL31DNtAXOBxjUcgh6ozJEvIw/t9oo41Sf+B32oPHFy5cODz53Nhv/SUIgfUhIA1ufcjouhCYBggwkD/uuOPShxRGoxAiYfyJriJoSAgUlJeLLrpoWJCEwYY6SPGd46JFi2z//fe3gw8+OAmhf/u3f7O//OUvSSghrBrL0nYoNpzziRT9Q7BxTj4UFlLMtnMtjEghqLjHs4Sgoz3aDeE73IBOhIAQEAIzBIFQFOA8DEAcGbiHkQWOfeCBB4YNURh0gl9RSsJYxEQDZR577LE0GbDxxhunSQT4ExlBGTiT9oJ3gQj+RjmgLPlCGaEcMiIMW3GfPsYkBPWFcYtz2ujp6Rn2ckUx4TvXaSdkD+WpOwxsKDSUJw+ygPu0E95RM+RVqptCQAgIgb9CAO576KGHEodjsA9+D/6Di+HpMNpz/uc//zkZa+BAODKM8cGRlKFeDFKUC0M//Ml1OJkUPBuTGGFMijE0x7hHOe5TlnowMHFOWxiT4HHyM5nA9U033TTJKfq5YsWKlIfryCd4n34F3+tPQgiMhICMTCOho3tCYIoRgMiZvbjpppvSbAnfYxbk7/7u79JyiMWLF9uZZ545PEuBMDn22GPTwD4EAcKP6ySOXOfDdYTLn/70J7v//vtTfcx4IwwRUAinxjoQbHxIXKeuMDhxDaEV18mHQKN++sKR/OGZFfVzLWblo4/UQdvUrSQEhIAQmIkIwH8oEWFs4hngQgb5cN2SJUvSY6GUxL0wBKG0UI4BfSxjxusIAxMcCjfGd/JQDh4NTg6FhPZCWeE8jFNhOCJ/GH/iHIUCYxZ5SOHtxDmGL/rw9NNPp34Fd1MH5WP2mzp4dpQk6uGcY7RBXcH3qRElISAEhMAMQoBxKl6oYbQJAzqPwDn3MeBgMILL4W34EaMN/EyCA4Oj4dIYl1Mu6oNnyR9j7/AapV2MQM973vOSdxI8TV7agL/hagxHfEcWIVPIR3nuU2djO3A0cgUu5wjHkw/Zwr0Yz9NPnkf8PYP+WKeoqzIyTRHwalYIjAUBBA4CAmUEYQbZh7AJoYUw4DyMONzH3RVBgrAIJQBFBqEQikgoMLG8DgEVikcIQIQa9YfRJww/1BPCkOegLvJxnTxxj/a5xycMVAhGBFYYn8hLPo6kUGzGgo/yCAEhIASmKwIxEA8OhhvhSPiZZRSkxkE9SgADeRJ8HTPRYaBhsuEPf/jDMB8z08xSBhQJ8oZygCEp+JhjzIJTDwoOM9LIB9pAKQl+DmMUfcRIRH9j5ptroYTQf5QPOBulhTzwO3kwQHE/DGP0jT7ELDrnKDbhYTVd3536JQSEgBAYCYGf//znaXwO98KFfBi/xlgWToxlaXApnAiHh3EGLoSDkQ/wJEYhrvEdToUzMUxRJxxNomzIlViCh6GJthqNV8gA5AnjbOqKelj+Rr2UDc6OuhvH6bSF8YryPCN6QsgF7vGM8RwjYaR7cxsBGZnm9vvX009zBBA2DPwRIpA9AgjBgMBiwI8A434YdhB2EP/jjz+elsCFcsG1EISUCyMQwguBQ4q81I8CgBAKQUL5EJwcqSM+3OOcFG2EwYvrMYtDuYjnwXXaIR9tkULQRb08q5IQEAJCYKYiAKeiRATfwtPwHcYhrsf34FYUA/gYToUf4UT4HV6FD1FSMNBwPOyww1JA72222SYpEPAmXq2XX355Ui6onw/1BJciT5588sl0n4CyJ554YjpHvvzv//6vEUOEMnA2AW1ZPk1f6QPergQcD4Vm3333tbe97W0pL7x+1llnpQC1W2+9dSrz1FNPpb4Qd4ryyKqYWKD/ITNm6rtVv4WAEJjbCASfwdfwKJwGf8K3nMPvcDj8Dg/D45SB55EDL33pS+0Vr3hF4sbwSrrzzjstjFcx4Qpv8wnjEnxKe3vvvbeddNJJyeDPsj34llh+lKMPRx99tL34xS9OfIwsIj4fHE4fqAN+f9e73pX6xkQ2MuCggw6yzTffPPH6E088YVdccYX9/ve/T89AGfoRkyVz++3r6ceCgIxMY0FJeYTAFCGAoLrkkkuS4EKQhTEJAYMQie8IEGYbEF6c33HHHXbXXXcNKxch7KiDD2XDYBVCEOERA/9QemJ2nPIIrugDR4Qk7TEDg/DhnMQ9hBj1UYZ7YRiLdeZRVyhToRBRZyhEPAf1KAkBISAEZiICaysYPEMsXeAcjgxjPoYXeJdrJLgPLoQHqScM/+RjqfQLXvACO+ecc1LgWfgTo8873/nOdP2LX/xiqosylKWuRg6Gf++9995kMKI8sftCEaLND3zgA7bDDjvY6aefnu5jOProRz9qn/nMZ+zzn/98MiDdcsstqY6vfOUrqW6UGTykuLbLLrvYPvvsk4xYBK0l9hT9xls2ZAl9DiVqJr5b9VkICIG5jQD8BW8y9g3DDojA4fAoRyYNwkspjDOM3+HYvfbaK23u8Lvf/S6V32OPPezd73534nJ4FllBon44nPEyY3Lq5Ttc+/DDDydj0KWXXpraol369C//8i+27bbb2ne+850UPBzDEW1+6lOfss997nMpH5MK99xzT+JwvJbgbOp78MEHbbvttkv9Q6bwHe9Uxu/0KZ419IS5/Vegpx8JARmZRkJH94TAFCMQXj0IpVhuELMQYSRC8MTsM/cgfoRAlGXG+2Uve1kSIigDDPTZQvW6665LSy1QYkjMhnOfFAINgcJsB7sabbnllsOzJQgt+hMz3i960YtSLCcUGmZirr322hTjCaGK8oGgop8IqmuuucZ23XXXJFApzwwMsyXMwNB3niuMYlMMv5oXAkJACIwbATg4DD2hAITxPQzo8Z28YQyiQZSJMMjAiRHbAz6OWHx4CaGAkBejD8sl3vSmNyXjzmmnnZbkQKPhKiYr4PV/+Id/SLPXF1xwQeL9kBeHH3548nL61a9+lQxMJPKxvI9Z79e+9rX27W9/Oz0X5eB8EsoMHE/65S9/ae973/uS0sKuSMgZDFChnIShTUpKgktJCAiBGYhAjMnDSzP4Gh6HT+FGxu5wNN5G4aXKmBgOZ3MexsrwN/fgcJYbv/nNb06fH/7wh8PGf8bp8G1sAgGXslMd3y+++OI0boZ/4VS8o/BwhcMZj9MPDP14Or3jHe9IHk4/+tGPEuJhlEK+fPOb30z9DVn14Q9/OI3T8ZjCIIXuwLPSBnVSVkkIjISAjEwjoaN7E0bAF3fZYNWDyBXxnPGBbNkDyxXd2LBqid1y581WymdbJ4ehBOLkHIIO8ptwJ6awgmq+lp6HDwPrUmvRDUIE8PPZhmw8PmLvwAAsEF5hfAlhEkoB31FUEBKxrAJlAqF0yimn2O67724XXnihXX/99Uk4sIscwgnD0Je+9KUkAKmLOmiHT8ymk5/ZEoQiCscvfvGLJFwQQqztRggxy33GGWckYYZgQ3lhJoZZb5QTXHQxOH35y19OsykvfOEL08wLxqbtt98+CTBm5v/5n/85LbugfQRduB2PCNAEbxbqLtwHy3bNjVcPK0h4XqFAJQWomi0DnGAz4y7O30+p4LuKlAmyaFYruAHRfzO+Z5QdfOBLvY/P7uw37kZUUAg0CYGc81yt4kH8ByvWuaDDfnXjL61nwHdKg99dNuSzMGzDXjZhZJ4p/F/NV2xF97L0fHAm/a/nnPMLvhub/2YbjTChAHCEQzkGr4ehJiYHqAcMSJyTFz4nPwoE1+BjjrRLeTiLeB8oEHA7Ckqj3CAPig4c+/rXvz6V+/73vz9siKI92mAJHvXiDRvtw8WPPvpokkFwNm2hSFEnfUbRiRTPx4w4RiY4v9F4Rt2UmYyUz2exSqhvYKB/2KBXrvbZH++7w5586rHJaGbK6vDohlYo+aRL3RW6WtH22mkv22KzbdJ7LTCRVJWn75S9nDnQsAdW8PGH/505h1cqvmy3vdUeeuxBu/Oe262jyzcm6MuW/8ZYLcbsMVaFC6ZzKtezeEiElygU4OVnN8MZC0eFvsKYkWdt1Fli7B58Rx4SMiE4HI7le8gG6sOrCQMTy9bwVAVb8iTZMsSdcDfGfq6zTBl+jdUN5HnJS16S6mQ1Q7wD8jKWh7Pxdo2+wvvB2SGvQscgP0YmJi9iiR75aYM8zU5Llz9tv7r+6tQM7aLfbAi9YLKeq573VR2u//Je847/QN+gbTJ/Ux+7H2xl/+3k8rN//D45kn6y3ojqmZUIBBkFSQ76gBx3ewgW4gqFgodvJL4YcM9kUDAkhbLAc0DmYcDJBt4TE8IhzIOA+Q6mYIdhCHfXX//618nABDkzOOUcJeGtb32rveENb0iCDMGDkCIhaELwMGvxlre8JRmwrrzyyqRMUBb33/322y+51DJbgjDDiIZX0s9+9rNkxEIIMluCQYp6qJPlGd/97neHl4zQ35NPPjn1FeMTM/O0RdoQQiyXqzsufa6c3TBsaAsFEBzjXaUOTUGq1HyZohuVMmW8ZuW6L3vJFW27LXeyg/Y/aHgAMQVdU5NCYFQEYjBa9985y8LYvvnxJY+6UcZjsvnfca32bDBT8sKPfOAp0obggFEfYoQMyaA0pFwEz3Ok/2EUGqH4qLeCz+HkSMx0UzcG/FiKDHbwbygr5MXzlKVq4b2ETMCb6JWvfKUdeeSR9tnPfjZxHnKIwXv0l4kC2iVvPBtHuJvE9taUIf9UJ/oRYwaeIZ6f5+JvDeV4ZicmozwuV2XQOls7bdPOTW3z522dnpP3WvLJOyUh0CwE+B3VffDBbwwO4m+OCUImFBP31TPvGcZM5OHvMn6TMY5sVt8mpV5/tugnnE3/+cSEwUTbCENVyIbQgeBw8Fq6dGkae3Of73zAD1nJmBkDPXgzhg75yJHx8lFHHZU4nPz0F1kQXE79PAcepEwix0QE9+lTbNow0edrdvlHHnvElixbkuQpz0MCrzCGBb7N7sdE6q/Ws8miHL8hH/PsvvPu1rfXvul8LqS58ZRz4U1O02dMysLQOAgihRxafXAaAgvPHrLEvWo1m+HN+Zjah+ouyGb2ILHuViaeFYJECMTSCV5XkOZEX10IrjDKgSUD7pjNIGBr4zpq2iOQH7MlCCvWhFM2DEi8M+rkiKEIZeK//uu/UjcRfAw0SAQt5BlitoQ6MFQ98MADSagRl2NYyRya+SAuRwT/pg7qQnkhX8yWhMKDcGxUrlKjk5zK5f7hXZBoC88gFF+EfUuLK8H+byoTfagOImDdI8R/Cy0+q9jfT4yVLJ5JKONT2Ue1LQTWh0Didf/bTZ4vrpBU3PMCHnR1xOfIfebXvVpJ6e/YT5ntqzMo88E/3OL+POurelpcZ8ALp8FjKALwH/zFYD4Ui4l2NHgdPDhniTEJYzzXaA/84MuYSKBtPE050j+4jT7hxQrvUw/L4lgCR1BYlBrqoG74nuf69Kc/nY58534oXrQZsmuyZNh4MeK5YizBM/EMgVHj8u/x1j/V5VDi0zP6byImP5Jc4mfBzENtZo+PphpftT8yAvy+kwHEyTmNY+FtH6slw4iPz7lW8UnjzEDid91zw93ukucdzD7dx+88T4yNeRb4g+dt5NyRERr5bozNOWbjy0yuwc2kMMjBrdynLyTwJRHignhIcHwkJmNPOOGElJ8JA+LmMS4nTxgDMSJRB6sJuEb7vMvwOOV7eq9+bzqnrvmdf7PSouj8x/tJOmIiwmmcnJ9LpSx0Cb+F6pDnKStZCum3Nfv5W0amafz3OVu6lojM/6tUsp0WYo0EpBekzhFFJLxHIME0U+fkO5NTMg4MkTnPEs/Es/OMLoYn/HjgS30ILFIIJGakafuxxx5LAikMEuDMLDVKEUoFwQFZzkaeuEZ9uPRiZPqnf/qnpKggAOl/DOapn3zLli1LAo36WbMdOwchILlPf3iv5IlYHPQ5YolwL5QDjpTZUIl3ErM7IbB4PhLf3UF5Q3Vlne1Uav5O6YL/HfFu5i3ocqXPL/kyunIZN2pR+DqB08VpgQAcV/blqFb0Qa3/zZLSANH/puuujAyWMy8arsfAl98dHMBnug8iY4Y4PZP3F16Dw/hMxgAezoRPGzkSrIKzwAweJWEMAi/u0RfuhVE/8h977LEpdtLf//3f26te9aoUAwQlhnZiCRxleR6WL2NcQlbA5Ri1eKbwnuIYBq/UgSlIIVsDe77zLHxCqZuCbk1ak/4L8PdIIGE3vrooqLo84H0zeYWShfKvJASahUDiFB+3V/3DMB5FOfiBJcFpjOR/oPAgfBBjt5nC3/AZzxjjY54D7g5ZxPWJpMCHdqKNGIfDUWBG4lrwdoznwZA8jXKE74zJ4XBi3h166KEpHAUxUhmbM9YOmQmHE/ybpYA8V3iq0iZGqJmQkDk8R2AQ+kHoOpMhY5uJQzK0+sQ1Y/WWttY0sVZzA2yjB3cz258OdUtDmQ5vYZb3IQaCobwzUw1ZJiL3HyCzHxv7ml+WX0EiYVja0AaHZryGSjlb9oHAgBgJ9OePmClak+ClFQKF+uM8Btdrz3hHHoQR2IfBJ2avQ+DybgjMTYBAEvE7iN2BwgLpM1tPnjBmffKTn0z3qD+UKwwiCDWemX5RhvdP30KQh+GKPCHMqZO6Q4g045001slsHM+NQY12SfR3eNDROrVLQugTbrWrV66yW3+/2AbKHj9r6O8HHOfCTEiz/wZUf/MQaPOBVcVjE/lCgLTsh98an7rHOuN39sJ9907Lr+AOOKlxYD3dB5CgRkg0NiyIoNahVExUOWl8I428BL8yG83MNb9/+DI4NrANgxdLJeBhEvnB9sc//rHdfffdaavq4447Li1rZmehjEsy3mOiAO8m+BkvU8pyxAhF+9TPecy6N++vZ/SaQ6aBN9jznQ+YEFtq4003Gr2SaZzjjlvvshWrljvuHvvKI/HxvkN+Eu+M35GSEGgWAvymsnFl9rti0o3vaXzmkwR4om659RYpxg/8TYqxU/B5s/o2GfWynBa+wBDD8trgbZ4xOHEi7cDJwUnPYpltsgO/MvYO7yK4NcbsgSUb5UQd9APuJbwFRiXCUrDJA0YnYidFGcb3GKIZcxPWgjopxzvjOkvp4HMMTWHkmsgzNrPsFlttnmJC8S5CZ+Qd8YzoF9M95dxT6XFf7sgOftnvIQsBwDsl1hmOF7M9ycg029/wFD8f5FauDPhsCC6o2Zb2eDJBGonEh9bSbbn5VvbqI49OxMGPkQ/nMcCe4scYd/OQCRjwPHj8LF68eHjgn5StIcE83gZikB0KGYIMzBq/g3MoIrTDeWAbhh+MR1xDcUD4YGBiidz73//+tOwO49h9992XlIvwdgqFioDeBIUN0qdO7tGHaKdRINA+ApUPgjbuUW9gRT8nU1FbH77ezbSs5Pjj35D6G/iBWSgr6yu7Qa77b4WB0J/vuTcNLHoGPF5VLVPIB13xKDCdrSQEpikCycvGf2OFnP/e3cjEb54AsrEM6OCDDkk7mQUHxG8uuDF4bJo+XuIIYiMxaIc7eD54K7hkov0GF3gRPgrlDc/U3XbbzTbbbLMUrwNlIoxPbMKAgQgZQLwP+gHH4pEEd+O1hGJx9dVX2yGHHGLPf/7z0+QOAcNJDN7JS7ssd37Yg3dTP5+YnKAvyIkNwc+j4RfKE31BrsS4gu8EP0dBmcnpiUefstXd/rdV9Tlxn5wL+cSR7yxFVRICzUIAXsEbA56DS/jwm+PDOJ6/w+223d6OPuqYZAAN/uMYY8Bm9W0y6oUn6CdxSwnzEP0O/SP9ziaQwI1EfWnCcGiSFV4lXip8zTmGIDiWUBLE0mNMSv4nn3xyGNdk2PPEOJzz3/72t2nXaHiaSVJ29CTBgZRjV09WG7BKgfz0gXbgf9qC52OiOBWchmmXnRalvy1kV+CXdEp/hlj5Mg27Pdwl/Ah+87tfp1i1A3h017K/N56FcJTTQYY2Gz9JqGYjPMfrDyMGBAfRMVCFIOLDj41zyBziY3AbP7wQUiHcZuKRZ+C5GZSHAIPYQ7hN9M8jjEzU0yjQaJcZEjADV85pn8Q7IMVyNma8MSzRr6iDrUyJtXTZZZelOpgxCW8l6qYOPjwHZB+BBMkbsTC4H8/MO452EYLURVnyco92Q2GIMmkg0+QUnlP8HaLM8XfKM8QzTvXfXCiXLIzoT8vjClZsyRRO+qYkBKYzAvyNhvdF+ttNu4xiXMcjxmM0+e+O3zl/51yPQXjIgan+/Y3WfkwS0N8wlPFMfIJLJ/J+qCPqiXM2bsB4hxEFbOFVZAyz1lwjsYECvBqcH/jSR8ogj9hxlDrZeCH4m+ehLPyM4sJ12iJflKX+tZ9vXc860QmUseCWBusuj/gbCvzBgj7z7KO9v+l+n+eK56OvnNfYDCIp+ppgGMvfiPKMHwH4mA+/7xirx28ufl/cZ4zJ7z04J65N998Xz0If+T3F2I++cy2MOuNHLytJveAX9XN+8803p/EmKwbwFAU37mMEgsNpH8M/eeFq8oZBiDxgz7ULLrggnbMMGv6nHniQHeqojyXRGKzgf7iDOkL3YjJiuifeD7IoJg/oL88BPjzHdP/7ynSYLNRF1T3/eJ+ZrGpLzzQXkrSUufCWp/AZG+NFhMIcpM6PjaVAraU2V6E9gKAvLevvHUjnLUVfv+o2kRn/caKPATDPTYI4Q0BPxquJAT71kmgHImY2g3bYoQKijkE/ikMocQhSXIXDwMJ1yuJ1hbBlxpsZcbwN2FIVYud61E97zLw0eiEhBEMJoW+RHwEXwiEMTvQrcCEv/QUvzmmr2ansS3mKRQybGG7wXuLZEGS4JrtX3RT/DQ560G+EExiBI31iudyg/1a0VK7Zfx2qf6IIBOfwuw7O47edKcvZ7kTsnoh33uCAG2f4u2YJgwc8nurf3ljaD+6Fz8IYE4NHnnGiCQ6EN8GR+mjvxhtvTDOjBx54YJrJjllwvh999NGJry+++OLEGfQFjg/ZwDkfJgaIx8QOryR2GSU/9aOgIBPwlPr4xz9ur3vd62zRokVp+dkxxxyTdgEdbalFvPeJPv9o5UMhjL8v8OIZUHp59rG8w+mch+fnfUUMD77HOCre6WgY6b4QGC8CYVBqLA9PBFfA1fA2/M1YnnE7fM7uoQN9bjiZ4vHTaO3zHGEE4hnhkTAGTQZ/Bw8GXrSBnGBFA55TbJ5D8G7GwbTHRjxw7NNPP20XXXRRusZ4GBkA18EFeCDBb/QV73Z2+kMGsAs07VA/G/s87B5SW2yxReLwQz12EysSdt9997RM+uCDD071TPvkf1f8baWwI35Mu4X6EZ1xtHc7He5XfAUP7621NXOg4O+h4r+N0AGnPf6T0MHmuwpMQidVxcxFIO+zbWx1mgibMbcHrGRTlDRoJqKx32OLR2LjsPKnkPcA1exM4QPF2B565j49/ifZbD3PEMoVgmCsKYQgAgViwghEPeFFRD0IIWY7YoYDQUQ5lAVcaffZZ58kjEKYkpd13NTDbAl1UTYMP5SNmRXKnHXWWfbhD384CTFmYFhah9BDScEl99WvfnVSVihPuRjg0zcIlvwoLPEMKDhci9kV8oUCFbPs5CF/s1PO/VkZwONZkffYYOz+wNGhSdfTbilTmhBS2d8L8Tf4TRTokx/p5xTHJZ9SZNT49Ecg73yeBlpO7nA752HA5Qjnw/d1/1IoMeB3Q4r/XQ9W3ViQHDWyOB/T9UlDiYiZcDgVng7D+mj9Dt5jWQO7vnFkZhujfSgFTBbAwSzLQ4GAq1nKfMQRRyRvI4xAcC7xO6666qpkhCKuEjzOcozjjz8+8S+JYLE//elP05ILFCQi2L8AACAASURBVI6tttoqyY999903TUb84Ac/SEvwvva1ryUFiIkFZAV10T5BZlkajYxhuQfGKRJ9RpmhbvqLrGCpGs9HH+FzlCbkA9eQY2EQGg2jke5TF30LWYH84BqfZIRhsDGTk3N+qeTP5PLJfxnO/9mOREkRHgo1MJMfT32f3gjEcswwvPjwPY3b07bsPizJ+e+LuExpgxJPcZ53L9WMG2fG7y/pJ57g76R7+O+L42gpxuLwL/z51re+NXEqfEidcDjeSkzannHGGcl4xLgXzjr11FPtqKOOSsb7GI9j+IHDr7vuurR0jvq32267xKfwPuU++MEPprhMLH1m8pf2SBio8GY699xz00QDsfYwKMHDwdOsWsDAxSQFdSEDkA/0lfo/9alPpbqZZEAe7b333qluJjOYWCCmH9wfxv2Qf6PhNN77SXd03TD2Nyi2ZLvPEoIl25l2+v99gRHjmaQNOub8ZhjS5wh7MV5gZlA5GZlm0MtSV+ceAhAUg2WEGAN1DEQIHoQYZE9CIYnArhhvEDQIDYxMzDozw43Q+NWvfpWEA8oJM95PPfVUWg7HgD/qalQCaAelhhkXgtsS3PGkk06yM888My1zoz4EJIamD33oQ8nQhHCjz5tsskk6v/XWW1Pf6Bf1odBgjKKPXIN0SRxpi3s8J3U0GqHm3pvXEwsBITDdEQilJBQT+jsW5SSeC16Hv+FYDEfwL1wI53OELznC++GNCrfDlVdccUX6hAJIvjDkcw6vYxhi6TNlqIsE11OGWB0oFaEooWTQDoYajFR4sV566aWpHP0i0QfO+RAo9wtf+EK6Tv08C+Xp+3nnnTe8XJv66BfB0TfyDT64D8/TB+RRM1K8l2bUrTqFgBCY/QiMhceD9+A3jD5wOHxOgn+D6+A9DEgxGUEe+JINGIilRHl4mfvUyXd4kwRPY/SPyWPqjUlaJo/hYAxSlGXsTN3hTYvBKHQFykedcc4mEAQN51mj3ZAnTGycffbZw7oB7TbqGpw3i7/jrysZZYaMflyjb3zG8m6iDh2nFgEZmaYWf7UuBEZEAGHDwJ4jA/gddtjB3va2t6XZCwQKguFQd4XF2MPsBIN7AsMiwCBitjp9zWtek2Y5OCKImFVhpgThhvGJ3Sb4UC+zMQjGU045xb73ve8lQxTL4Zgxob79998/CS3iedAewg+DFYYsZmVol5nuMEzRHsFlmRVBYPAsH/3oR5NxCyXlve99b6qb52M2h/XjCDYEGopUCMURQdJNISAEhMA0QKBxQDyW7jBQp0x4L8GRDKLhSRQBPnBjeHZyzsAenozleeRHDlAPykUoKpQlLwYd+JS6OYdTyYfSw33KUX+jEkJeJhIoR33kif7Ed/pC4gjvc4y6MEJFnylHH5kJp14S36k76hgLVmPJQ70k+sFHSQgIASEwGgLBF8Efo+VvvA+HBcfCe/ArvA7vUS98GVzKNbiXMTZtwZuRLyZVyc95TDhwHgYdyoQRiXaRE3xnggAZEPmCV+FgErxLvZGoB0MV5aJ9rvGh/8iFaId64WruIad41mYbl6Kfje+F9ht5nfPxvK/n8m6Vd+IIyMg0cQxVgxBoGgIIhxAcCCRmS3CzhVxj5gHCR6ggjLiOYKEcQooyGIQuueSSYUWDvBisyIdxiXOuxSxMKCMxA8LyB4xOKDbUH8IHwYOAYitVlklA+pSlrmifNpiJYQc6+kd+7ofAO+2009J36kbo8SwhhCOQYdPAVcVCQAgIgQkgEAPzGOzG97FWCQ/CiXA5ie/wNpzIJ/gQbiVPKBXkCb4PQxH3uU4KAwt1U4bvnJNiWTPlYuDOOffTEjNPcHsYukL+hKIR9ZAP+UJ9lON6KEgYwJABjX0jP7KGPM1UUkI2xjtJD6QkBISAEBgDAsHhwaEjFYHHgqMxzsB7wXlhBIEjuQ5HBm8Hz5O3cTzMOSk4MjgUbuecOhvzw71h9GnUB8gbY3Dyh/wImRKTt3B7GPvJz3U4Gi5n/E+f6Qv3uB6T11yL5xsJn4neW1u+NtYnfp8ouhumvIxMGwZntSIExoVAEHyQPQIhZkFC2ISy0DiLgsCJ5Q/MIFOGawgVyDl2DUKYICy4jiChfr5zDE8i8mAEYjYGxQbDEXXETAsPFrMfoVxQB0Iq+kj7CCnKUQfPRb2c0y7LMzin3TA2NSoz4wJPhYSAEBACTUSgcRDMeaNi0ni+vi5Enhj8w9GhEHDkA7+H1xL8GIpJzILTLuVDmQglJwxXtB1cCieHHIh8weVwMgk+Jg8fuJ62qTuukz+UGJbAwf2hoNBfuJ66+TSew+8hM7geMm192IzlemDeiDXXSHEcSz3KIwSEwNxDoJGzOW/kjMZ760MGDgvuDg5u9PShjuBeeDLGvY31cR3+Im8YfKgj5ABtxP3oE/cjf8gDOBh+5zr3GdNH3bTLdfiXY/A7nBxyIvoP5zPBQB1ci8mF6AN1cT0mFdaHzWRcj35GXcHzPENgMRntqI7mISAjU/OwVc1CYMIIhKEHQULiCLkjUGKmOYQa1yDhEAqhAHCfe1GePGFcipkVBAv5EGjcC4FImZgdpz1In++hkER/QnGh7WgLIdc4+I9ZENoJIUk58tA+7VKGurkewnPCIKoCISAEhEATEAh+a+S559IM/M5AP/g9uJ06GgfYcCrcGgN7eJo4HAy0w+BDHdEPlADKU4a8JPIiE0i0SV54mCP34F24ne+UJU9wOHVzjbpoL/qLUsP3mBho5G7yh0ISfE5e2qI8MiYUsNSpSU7jfSeT3A1VJwSEwAxAIHgwujoW/oDD4Mzg21hFQB3B1dwjNXIrvBxGd7gxxsOMkeHM4PtGYzznwdPBz5QLT6kwEtEu9YfBie9Rf5SPMTplOKff1Ik8apQxMQlM/2mHPPE8lAnZEphN9pF3EPJoLO9jsttXfRNHQEamiWOoGoRA0xAIkofYw9uIawiLUAAQEgg7BAneQvEdoxACCwWAI/cZ3CMsiMdBPQgK7pMoFx+ECecIxhCkeEZF8EIIP5Qj+kZ/+JDoV/Q7lJO4Tp1hPCIPiX7RRiguHGk3BGHKpCQEhIAQmGYIBJ/FADgGxXQTPhxtYAwXk8gH5zFoh/9CCWmsJyYA4GzKhYIQkIQRqNGIQxnywbXIAOqOPtJeKA6hwDTej3qon7pJ9Is8obhwTr2hGFEPeaONkAmBA/m4Rp8iX/R/PMfGdhrbol8hT8ZTr8oIASEw+xEI/oDH18VZwSnrQyIMMnG/0egC/8BxwUVhBIKLyQf/xoRwjKXpB/moN+5TN/VEX4KL4zt1NXJ78B51RF6eLTiaco1yge+xCQ/jcNrnfkwqMz7nGnXQz+ByrjU7Nfa5sa3oQ7PbV/0TR0BGpoljqBqEQNMQQGBgtOEYRpkQHGEQQkjEmm8EA98RDGEkCtdXlBMShqKYuUCYIFhIIQQbhSNtcj2MWOGpFEYgBFnk514IIvrAOWXpB+2EsKUM93gOPpSjPgQK+UP5iXxNA1cVCwEhIAQmgEAoJxyDl59LdZSBq8MoH1wNf8KFHOFN+JJzjELwI/fgzUZFAv6knuDVuAd3h0ygnqgrZEvIEcrFPa5Rhk9jIg9cTr4INhtKTnA+/SIf3znSr3hO6g3FYTx4rY0t/VhX4tloR0kICAEhsD4Egg/jSL7glODC9ZXlOhwG1wQHcg3egXtJcCD3SOTjexiZgqtjbEweZAHtwqGkqD94NDg16ooJ4Bg7Rz+i7yE7KB/j++BpygYHh24RhiPKI2fIC2cjd6JvtEH+GPunjjYp8Vw8A/3kE32nubG8nyZ1S9U+BwSyNTTPoYCyCgEhMD4EIEhIPAa/kDXX1v40Cj6INRSQaLXxPmVJEHHMQoRAQjiEQGsk6lACKBd1RR3kI9HH6FcoUJGX66EocOQ6eUghtCJvXI983KeNuB7KTGDCPT5hnGp81vGc0x7lSIEVR67TdrQTfQevEMZRLhVWEgJCQAishQAcvmjRouFBMNwRHBp8MxJo5AnjPPlC4QjeCn7kHnzE/eB1ynItOJPvtB/X4x7Xgu+C0+JIWc4buZG21u47eaIM7Udfol6O0W7IAOohb3yPtqI/3J9oin5SJynaQAHafvvtJ1q9ygsBITDLEYBD2LUZrorJ0xiDjvbo5GvkwOA7rgcfci14PNqI+9S/rrExdQZvNh6jzkbeW7su6mzMF+WDw4O/Q1ZE/nVxfuQFl5AT8cwcJ5p49kZ5EPIz2tpll12Sl1UY5OIZGg1zE+2DyjcXAU31NBdf1T7HEYC4g6gxAvGJgHxhAIrBO1CRn08M2imrNH4EAuOY4Wn8Ds54dCHoQmDGuwllrlFhGn8vVFIICIHZisDee+9tl19+eVJQmO2FTxgYN84Uz9Znn+rnCqwbN7JAZh566KF/Yyib6r6qfSEgBKYXAoz3iF20zTbbpM+jjz6aDPmM+ybDiDK9nnb69YbwHrGLNPKTc1ZaIDvx6t1uu+2Gl3SjJ4WxjrE770lp+iMgDXb6vyP1cAYjwCAYQQYpQpqbbbbZsCcTQVi5jvUewuTDd8gUYwhEC6nqM34MYsld42xRYMyfFUohgiyMehzD6CcD0wz+4anrQmADIACvsPPm0UcfnYxM8DYGpljusAG6MKebQHbGssEAAqURI1MsD5/TAOnhhYAQWC8CcAQcgrHjHe94Rxr78Z2lwOEdud7CujFhBOBucGYcznnoQVT8rne9yxYuXJh0ohjHxwR8TNxPuAOqoOkIyJOp6RCrgbmMAAQag10UkH322ccee+yxNEuyySabJHINA0e4iAaRzmXcJuvZwTLceyNGCd/5gDeC7cUvfnESdAiuWHJI+7wXeZJN1ptQPUJg9iHAoBgeeclLXpK44+yzz04zr3CNuKP575sJnMCbSZyNNtrI3vOe9xieTXB6o5dw83ujFoSAEJhpCIQxaeONN7ZPfOIT9vWvf91WrFgxvLnCTHuemdRf+BkOR0dCXjLm5j288Y1vtB133DF9j7F53I9xOd9lCJz+b1tGpun/jtTDGYwAJMjMKttNc86M9y233JKEGJ9YUgFhNnrbkDcMJDP48ae862GwQ5iBNUcUwFgO9/KXv9x23XXXJMy4F4IszimvJASEgBBYFwLwBgNkeGKPPfawz372s/ab3/zG7rvvPuvu7pahaV2gTeI1Jm7gaoxK4A+fw+F8YuniJDanqoSAEJhFCDDZyFibyUY2z2GlwWc+8xm7/vrr7Y9//KMtX758Fj3t9HuUMBTB4SyVY1XBEUcckQx8ETu2UTcKjybyy8A0/d7nunokI9O6UNE1ITBJCECWCCpmWTEioXh87GMfs29961v21FNPpVYgTggzZr9RWGTkmJwXEEspwDc8mlAMGUwQ7PGoo45KCkkYk2LJC/l5XzIyTc57UC1CYDYiAHfA23ALy+b4fswxxyT+Dg+b2fjc0+WZMCSF9ymYM3kA7syOI3PhcyUhIASEwLoQgLtJMQEZvHGoL7flA6coNQ8Bxtdh5ANrvqMjMWnAMQJ+NxqUIlYWXB/nzeuhap4oAjIyTRRBlRcCIyDAIJdBLwYL1n0jzCBSDE033HCD3XTTTek6sygQKQaQ8KoJo8gI1evWKAig9IEjmCOw8Crbcsstbd99901LF/FCCI8DcCeFYSm+j9KEbgsBITBHEYAj4BU4Bh7nO3Ek8FyNGHtzFJoN8tjIU/BHzhJHhXMCx6KkxK5EG6QjakQICIEZhwCGDTiD+KiM0eGTWL4FpzB+VGoeAoy1wRysY2KXJc/Lli0bDvjdqBM1Tgjr3TTvvUxmzTIyTSaaqksIrIUAJIo3DQoIR5QRlA8I9eCDD7ZDDjkkzYRDpAi5MCxRLiz7AnX8CASuMWOCYOLDda4xuIjgj3zHIBjLLHhHmskaP/YqKQRmOwKxxBmDBu7+cDtGawweMnJsmLcfSiFH5CccjtISS9E3TC/UihAQAjMNAcaBjL8bvR7h9AhE3ehBM9OebSb0l/E1vA3mGPvAO3ac472EHsT9MCrF9fBymgnPOZf7KCPTXH77evamIwCJQooQIoSJEkIKQ0ecB4E2CjXyK00MgbVxprbwUALfEGzxHlBOeGfkkYFpYtirtBCY7QiE8ZoJBBQTEoaOWHY7259/qp8P/OF45CbHkJnB4VPdP7UvBITA9EUgxt0RozPGhnC4DEwb5r1hQCIF3rwT3kfj+DvkLPnincW72jC9VCvjRUC+gONFTuWEgBAQAkJACAgBISAEhIAQEAJCQAgIASEgBIYRkJFJfwxCQAgIASEgBISAEBACQkAICAEhIASEgBAQAhNGQEamCUOoCoSAEBACQkAICAEhIASEgBAQAkJACAgBISAEZGTS34AQEAJCQAgIASEgBISAEBACQkAICAEhIASEwIQRkJFpwhCqAiEgBISAEBACQkAICAEhIASEgBAQAkJACAgBGZn0NyAEhIAQEAJCQAgIASEgBISAEBACQkAICAEhMGEEZGSaMISqQAgIASEgBISAEBACQkAICAEhIASEgBAQAkJARib9DQgBISAEhIAQEAJCQAgIASEgBISAEBACQkAITBgBGZkmDKEqEAJCQAgIASEgBISAEBACQkAICAEhIASEgBCQkUl/A0JACAgBISAEhIAQEAJCQAgIASEgBISAEBACE0ZARqYJQ6gKhIAQEAJCQAgIASEgBISAEBACQkAICAEhIARkZNLfgBAQAkJACAgBISAEhIAQEAJCQAgIASEgBITAhBGQkWnCEKoCISAEhIAQEAJCQAgIASEgBISAEBACQkAICAEZmfQ3IASEgBAQAkJACAgBISAEhIAQEAJCQAgIASEwYQRkZJowhKpACAgBISAEhIAQEAJCQAgIASEgBISAEBACQkBGJv0NCIFZjEA+n7darZY+raWW9KS5XMFq9YJVrWT5fNHq9ZxVKrV0XiqVbHBw0KrVqhUKhVmMjB5NCAgBITC1CAwMDFhra2vi53yhZHXLW7VmNuh8bM7TcHW97ledx3O5nJ9X/Zw+1/x7PXWe+3xIxWIxcXd84h5czjXqCZmQ1ZfzUnnnem/b5UCcIws4p61qddDPvT/+qVQqqTxyApmhJASEgBCYrQjAg9Vq3fnZEkdyDu8FX8KhJDgRfiUF18a94O/gaO7HmByOP+fcC+2ww4+0ffY90F515Ktt+fKVhlxIXO7tcv9VRx5je71gv3R8/PEnh7i/lji7WGxJfYoxPLzNdfqO/OATfc44G14vpg/9INFXzqPP8LzG/wkapQkiICPTBAFUcSEwnRFAWJBQZJ544gk74YQT7IADDrDddtvNdt99d3vhC19ob3rTm+zee+9NAqanp8cWLFiQypTL5en8aOqbEBACQmBGI9De3p4MNygoV155pX3sYx+zF7/4xYmjf/KTnySDP9zNffgYhYHzUFLgbJQBlBzqIT/nHR0d1tbWls5DecAwFPU8ex3jFMpKNSkuxWLe1qxZlQxLXEMxQtnJytZTnf39/akd2lASAkJACMxWBODBUqngHJtz/u23lpaitbe3pnP4MU0ODHFvGGXgWHgyDPKZMb+extdcC2MTvH7OOefZl7/8ZfvqV79ql1/+v+nekiVLbKONNkpj8Z/85CL7/Oc/b1/84hftl7+8NvE31zMjEhMPdTdI9bmMKKXPs5MBjN2ziYHBwYHUf7i9ra0lnff0rEn9pw+N/Yvn6erqsr6+vtn6WvVcGxABpquUhIAQmKUItLS0JMGEYrD55pu7UDvHhceAHXDgi623f8DO+fGZdtBBBw0rOgjHZ555JikQMSMzS6HRYwkBISAEphQBFJTe3l6bN2+evepVr0pc/PWvf91+8IMfJM6Gv5nVRvkIgxSGpvb2lqRsoDhwH0UB7obrOe/u7k5lMA5RBwoDfB4Go7WVI+5TjvILFy5M57SPUpQpIXhRZYoS7VCeNlC6lISAEBACsxEBOBN+DYM9nIhhBh6FD7mPwZ3ENfiSyYAw7IfhnzLwMFwaXk/U9d///d+2xx572AtesGdq4x//8R8T/y5dusw23nhjO/XUU9OEw/7775+4+b3vfa9tscUWqZ6BAeRDW+L48HyKyYfOzs7hvsyfPz/JGDie+/STa/Q7DEnUEc+EXKGPXFMSAhNFQJ5ME0VQ5YXANEYghEgYjDgiBDki1BA0fGKGBeHCLAYCJ4TnNH48dU0ICAEhMGMRYPCP8sHAHsWBGWx4F2UARaFWy5ancS9mxjmuXt3tSkBryhvGI5QePigcTBLwoe7gcZQG8mIcIg9ygJl6Zrq7ujrSDH1nZ7utXLk8zY4zE97ZOc/7kC3JQy6gGFEukxPyZJqxf3jquBAQAqMiAD/Ci5UKhqNKOucIP+IR1GjgZ6yNIYgJA3gWwxIpPD65D9/Dx3DpAw88kLyWyE9e7r32dcfYNttsZZtuuonddttt9tRTTw2Px+Hcd73rZJcT9dQOZegLfezoaEueSXA2Hk14KsHrnK9evdL5miV9LOXLPJr6+3tTfmRMVk/tryYi4Hh0ACUhMFEEZGSaKIIqLwSmMQIoGQg8lA+UExSNWCqBIsPSOARlV1dnyrd69erhmRa+KwkBISAEhEBzEGCAj4cSiYE9Cgh8DPeiSJAw7DDgh7fL5UqavW5tbXdlg9geloxNEUMJL1UMQ/39Za9nMB2J2UF+8hHvg/vz5i1IZaiLOgYHWYbRl4xXG220ibdNHKiiKz79qR3OqRtjF33hqOUUzfmbUK1CQAhMFwSy+EbEOQquhC87Orp8PJ3FZoIbG3mWc3gT/uUeS9uI4QSPwrvU1d3daytWrPL7hWREYmze2pZNAmBs6vdVBsuXL/f884fH7nitMj7fbLPNknyIeEvwO9zNd3ge7m5v70x8T1scuUY+8tAv+s9zwOHInVg2h/yJ85A/0+VNqB8zEwEZmWbme1OvhcCYEEAZYJYc4xKeSwgpzrNZ7KoLuhXJdXb58hVJ0OGiG55NY2pAmYSAEBACQmBcCDCQX7NmTeLkMN4wMcAEADzMdQb9mZdSLnkmhQEqGZ/8ftXzdjvHD7iysNHGG9ka91Rqda4vEEvJ83Ofz4qVK22zzZ9HlFdb7W3m3GjVX/alIB2umNRr6VhqdYWlrzcdB6uu+AwtDcHARX86OzOFKLyqxvXQKiQEhIAQmAEIeLQ6y/ZD8KXEzpFwIp9KzbfNcY6El+Ft+Bqu5gg34pGaeNufsd8nDfgkvvVjzct0umFpmRuRSBh6MqNRtlw5lj0PlqvpXi7HxgxZsPCW1mKahGD8jjGq2FJKHG75nMcQ96XTgz5RMdTHPl9OV654bD2PTV4oFYfP6Tv3KBNL5OgHHlfUK26fAX+YM6iL8oebQS9LXRUCzxUBhB7uuBiTNlqwMAk+ZlkQKN29fcNxPjA0kReFJwRPxAN5rm0qvxAQAkJACIyOAIoJxiKMOAPupcSkAAnuzbi6Ny1pWLVqTeJx8p577rn2s4svsUcffdTj6vXYtttua0cccYSddNJJaSKBOjlfvHhxUkie97znpQ0ePv7xj6cJBa597nOfs7vuusvuvvvuFGj8P/7jP2zHHXe0Nat77AceD+rSSy9NSzVcvbFDDz3U3vXuk+3AAw90pYe+4gGVTVSM/oTKIQSEgBCYmQjkc0X730svtwsuuMBuvfXWxK184ORDDjnE/t8XvpAmblkRsNKN+BdddJFddtllaSkcY+5dFi2yF73oRWlDBzxWMUo9/PDD9pnPfMbuuOMOcx8nu+KKK2yR58sXanbUUUfZhz/4Efv0pz9rtyz+fQLt6quvtp133tl3HO2z1772tfbtb/134nk8kr78pa94wPDL07gd49B+++2X2oLvS0UClLuXknur0pdvf/vbHjz8l2kDIOTNy172Mvv79/1digmVDFZuLMOYxb2QQ/RXSQhMBAF5Mk0EPZUVAtMcAYQEs+UIQQQJwgMhgkBEUEUMj/Be4l4IQxQaJSEgBISAEGgOAvAuBiV4OAb3XOMc/oWj4e3YbegjH/mIfeE/vpiUjWuuucZuvvlme9/73mdnnXVWMiw99thjqb4zzjjDXv/61ye+R+FAwdhuu+3SzDh1YlR6z3veY9tvv6P98Ic/th122Ckt/zjllH+0733vdPu///dDbqS61X70ox/Z73//e3v/35+SdiCNmXuUGi2nbs7fhGoVAkJgeiDwb//2eTfafNy23npbu+qqa+yGG25KfHnYYa+0G2+8ORlxGC9juP/Xf/1X+/d//3c78sgjPe9V9oc//CEF6v75z39uxx13nP3lL39JBip4+Lvf/a595StfSWPzo48+xu68885kxGKXuW222ca+//3v2ze+8Q1zpyM75hju3273339/uk8ZViecfPLJPiHwQ/vQhz5iv/71b9P5n/98v8uBd/rkwT1pCR8TAmvW9Ni73/1/nMvPsve//xS76abFduaZP7Jbbvl9quOhhx5K/UJWcITjMVgpCYHJQEBGpslAUXUIgWmKAIIDoRTxmOgm5ygaHAn+x1pvAgZmW1gTe6NvWOhM08dSt4SAEBACMx4BtyWlhBdpLp/NGhNDg9hLHAk4m7ydXIm57Mqr7NJfXGFvessb3bPoROua12LzutrsuGNf68ahU+zRx5+wr5769cTrVS930olvtZovtbjuut/Ykqef9tURdZ/V9g0dXDEiRsfZ551vx77uaGtvI25I1c469xy76ZbFdvzxx/v115ivvrA93UD1oX/6qK1cvcq+f/rpafmHL74bWsKXxYya8S9BDyAEhMCcRACDCp9sCbJvouDLytLSMzfOXHX1r+zcC85P3kGf++ynbdNNFlh7S8F23GFb+8Ap70/86KPpVP7nl1xml15+pb3prSfYO52bCcTNGPu1R786GYEefuwJO/Ub38omE5yH2zwgd1oCl2c3UPPvrdbR5nFR64XE90wUIA/ypbxzdcU63JDVUvQl1R7DibhK4NcsVgAAIABJREFU5573E7vltjvthLe+0Y1aR6SA5HvssZu39aFkgDrttNMyryT3jrrwwgvdSHWXve51r7PXHXu0tZTqtucei+xjH/modffV7NT/+o57UXkQcV9Xh65AG/7FvJtKQmDCCMjINGEIVYEQEAJCQAgIASEgBCYXARQODFDMlF9yySVJcXnpS1+aFAg8nvigGOC1xKw6SyfwgEJJYYkFS9y4f/bZZ6eOkYdlEexq9Kc//cne/va3J8WH69ddd11qi5lzPKnSrLablFhOgeHqxhtvTHmZuOC7PJkm912rNiEgBDYsArFEDP6D7zjCtfDg+eefn7jzDW94w/DGONyHg4ldCnfG8jKWyZH3Fa94ReJH+DctVXPjEUuZufaTn/wk1U0Z6qCNsSbqjvzUde2116air3j5Yb5KYX7iY+7vu+++if9vv/32xPOcs3yP9JrXvCbxOu3TDzxcy+V+++Mf/+jfPfaTG7WSrPG4TiwH1EqGsb4d5RsJARmZRkJH94SAEBACQkAICAEhMAUIoKiE0nLLLbckRWaXXXZJRxSVMPSwHHrLLbdMXqjEAyGhULz9hLcmLyUUjeQt5QoKysP5559rLzv4ENtkk02SgsKSj5tuuimdL1y4MNWDooRz1dZbbOnt5NJyDxQXZrqzJSKDU4CImhQCQkAITA4CjcabMMBgGOLD8jWM6nvuuafvBteTuDYMNHDpO97xjmTk55z4Shipdtttt8SvlIM/ubf55psnow18fd999yXjEx/aGy2FUZ8jCf6mzttuuy19h7/XrOlOvEz7CxfO976XkgwgH9dYZkf5CJnBOfy96aabpuvLli5JdZE/NpmITSfSDSUhMAEEFPh7AuCpqBAQAkJACAgBISAEmoEAygNL2wZ9l6Bsp6FcUhYyT6Isvl7ydkrbZPsyB09sfc1MdYsvjTvqqFd5HI+t7E/33GNXX/NLXwp3bNo6m+DhX/va11J+yq/2uB0oRygtJ5xwglUGfcciT+xKF8YsFJPenjVJEQnDF0qakhAQAkJgJiOAQWjAd1zLFYqJ27p9h84Ud86XzxEPDw7s7+/1jRCcc32dHMaZzCCT900ZMu6EC6mHTXUqvjMcy+Dqfi3vHA6vPvzgQ7Zs2TIr+bK2MB6NFbOM27NJgvBgdZOTnXjiicnQRX18kAv0i/729fmu0r68D3lQ8+Vv8HpLa966felze7t7KvVVfAleIT0nBi+MU71uTKPsoNfDznXi97G+IeVbHwIyMq0PGV0XAkJACAgBISAEhMA0RQAloFDwoK3+DyUjlrlxjO9vfvOb7dRTT03LP1gK97vf/S7tMsdSOhLGKwxIpKc9dtOtNy+2rbfaIilblSHFCUWlva0lGbKom3bjOE2hUbeEgBAQAuNCIIw2jZ5OePoUPS5SzXmWI8aZLo+Jt75EHc1OxFvafvvt00QBPL5gwTw3Kq209o7W1DQTB5mHVj7tGLrTzttZ1ZfD1X1SorWlw/zg5XxDIHdZ7XGPqM7Odjew9SZvVgKGZ/Fam/0Uqn82IzC6v95sfno9mxAQAkJACAgBISAEpiECzExj7EGJCEPQqlWr0vIIDD4oPqEQ4b1EQkHgHjPcGIaO9YCv5L/55lt86cSDdt5553lQ8BPdLFVLM+/MXLN8gzgjzNoTrwnlhLaJAbty1XIPertRyhuKEzP6a1atnoaIqUtCQAgIgeeGQMRaCm/Qrq4uNyB1JX595plnEh/iIYTBBl4lH9+5Di+HtycczG6gmWEnW15HHXgwkQ+PJsqTnosRCmMX+TNDly9Zdj7nexWPI++L24o8oHfBetwDa/68ThsccENStZaeISYG8M7CEAWvU7a3t88/PVav+U5y7umEJxP9p588V2Dx3JBUbiHw1wjIyKS/CCEgBISAEBACQkAITDMEwrCDEnTAAQekgT9xPTiiCJAwQq1YscKefPLJpOywBTZKCcs2KLf11lv7DkSvtgFfcnfa9/7Hg8Leaa985SuHlSTqQClatGhR2pnoHl9aN2/evKSMlPsHbOH8BbZ69eqkHNEW12gnjF7TDDJ1RwgIASEwJgTgPTiND5zJB0MLn/333z8Zc4jNBN9imIED4T7O4Uf4mXsE0ebevffeO7ycOOIu4R0Kr8LXxNOjTMRrGq2T9Iu2oo+c02cCfJOIzUSfMR5xD8MXRi52imaHO87ZKII8BPhmsoKEbKBOt0SleFHE3CNPLIVOAcr92ZWEwEQRkJFpogiqvBAQAkJACAgBISAEJhkBFBeUCgb/bEGNovLb3/42KQQoDCkek8+UX3DBBUlxOPbYY9MxdhaiLJ+3ve1tSalgeQXGqh122CEZoFCQaIP6Dz/88FTu9NNPTzPvmbcUgWYzZQolhvbIG95Uk/y4qk4ICAEhsMEQwFAEl2L04Tz4jQ6wzJh78CEGfHiWfCSM7vAs97nO7p5wKTt0wpNwK3kx1lx99dXp2hvf+MbEnZSJZWxjfVDqbjQ0wdXUecYZZ6S6MHzB1+FlxQQAfeR5XvKSl6SyPAfGLuRBeFtRjmsk8oDBwKB7Z3V6XCk/VxICE0VgxpsqiwOtVm9bY4M1P+Zz1pbvsoG+bit0rPK1p/OtkMt7XIGBzH0xn7l7x/d8ji16Fbhyon9EKj99EWBJhHvNptTW1mFr3GU27zE8EFrVuOH3EEYInpjJQIAhtBCISjMXgbxzIu+Q91kYCmrJoIiUZrIGfReU9jZb427TpbZWH1j4Vr7+t8HsA67YOdbLKAkBIdAUBLLZY9/u2r2MWLXA75VxDJ+KL2FwFvbfoC+P8N/kMUcdab859nVpuduOO+6YlKCWYmuKtfHtb33Httt6K/vnj/9TWjqR/eaz3z7cfsD+L7Qdn7912iHupBPfmrasTks6Snk/d0NWvWLvPvkk++kF5/ts/H329necZMcdd7xtu82WSWF6/PHHbeedd/Ytul+WlKe8B4ytehklISAEpg6BXN1jr/kPPgwELHmqundKb2+3bbTxAiv3sZw2l5ZPtXocoVzRPRH991x3z5WSB7WGJ+ABxgeMC3JDGwjwPe5N3dM1v2WenZSWBjvPVgd9zOPf8QR69VGvTMajiy66yI59wxvTbnJwIONi4jHh8fnBU/4hxbc7/rjX2jVXX2EXnnue7bbzLr7BwvFeS94uu/wX9v995cv2/C03t0//yyet5nizkQPj77yPv9w/yutzDvZ3Qr3esOuseKn2Oe9732p4j3oe53CWuzE+J7397W913v+53XXX3fbGN51gb3jD622nnXaylStXukHs8eSVethhh/lSuEIKDv7Tn/7UHnnkEV86/QZ7y1veku6T96kn/5J2z9tvv/3SbnMYrPzPJ+FQ9ADnBAxXEgITQWDGG5lyHj2/XC9b1X+YrS2tviZ1lXW2eowB/6EQELPmgzesuliUB2uuQPmPtaUwFFvACdW5VEkIzFoEssCtWXDCxx57zD76sY8lJYLfAwL25JNPtr322ss++clPphkPZqiZ3eB3wgxHCLVZC9Asf7BKpZoNXvw5nzU2Eby3mAaVhZa89bhRft78TlvVvcaV3QF7YtlK23qzLdzYhBFeSQgIgWYhgLIRM8bXX399MiAROwml8bTvfsduvvF39r73vc+29+CuLGv4whe+kJZm/PznP7dvfvObvnRtMC3BOPmdJ9q73/3uNNZJxiOvF0WRc5QTyuLNdM455wwvn+B+NqOe7ahUq1WTQvW9751uP/vZzzxY+NdswHdU2meffexFL3qRbbHFFsnABI9kM+sYoDUJ0ay/DdUrBEZDAANExScLM6/DjEvqfg1DEstqt9x6u2RcKroxqlKtWMGNDsn70SX7oBuX3dLh4wD/PftkfBEji/+2Y2yY8g1NSI3Wj9l6/z+/+P/s8Fe83M466yz7/ndPS4/J7p5w4ite8YoUYwmPIeLg/ed//qcddNBBdvHFF6edO5m0xSh10kkn2Qc+8IFh7oSj+R5eT+S///770zLnL33pS7b55pvZBz/4weSxyju45pprEmfvscceif+JmwcP/+AHP7Azz/yRXXHFFfaNb3zD391g8lA98sgj0yQEwbxr/s5bfJe4Cy44z7797W/bVVddZf/zP6clmbD77rvbIQcfZFtttVWKx8c15A6yIi2VDsPXbH25eq4NgsD/z957AMhVlf3/z+xO2Z5N74XeIRAQFEFEBaSGJl1EUSwookiVJqBSpekrFlCx0CIdaYJIEQi9Q4D0kF62z87M7u/7ee6esK//PwmvIWZ3c064zOyde88597nnPL30eiWTVEdWSuP2nbNCSckqdWRzyppf4G8phqWWLZXKrK09b/0G1PrGN/2NtlhK/dgiBPo0BFJa5wgEKI+GDh1q1//hD24tgXdAmdQhLz+EDQgKBwQUwQNGI7gD92kA9fGH4z0Xix0ubLIW8JSg4Vad5BRIyyuhzJY2LrYZs6e7W/jYUet62V08KDwpZGwRAhECqwUCeBngUcBe3GmnnVyYQLDLZOSZ7d4Fyf5LPE+TsI6jjz7aOMDRWQkh7G1wNkleE8GgzHM0kVcphHjQF/dgVCB/B0IpggplqvkNfJCVkY5+vv71r9lxxx3nAo57wrr1ndwdlX5dyEvCnN0bMrYIgQiBNQaBTsk4HR1SEmlPt7fLK1H0nH05e9Z79t7ihaLno23IoMHyYFdVSBmdMLLjsVSUcimbzrrCCTyBhw24BL6Q/R5Cr9bYg/WAgeF/9tl7T/v8Hrs5TENSbPBkcF5AwcTfQZF/0EEHiY+uS96F4BlC0+Cn8YACR19xxRUOc/IeBfwKvuV7o6q8XXbZZY6XGZNPcDX38RkiDuDVjzvuqzJCHLs8/15BRkLeoXub6tOUgom5ZXNp+84Jx9v3TzrR32voNyPvdq5LPLkSry5+pzEfxo4tQmBVINDrlUzl2jyf2m1n23TjLazQavb6S6/b04++YM3KnF9TW6+k+UKmhQ4pmPrbDjuO91wDU96YacUWxeJqQ0oCXxX4xXsjBHo0BBBOcIuFIEHUUDoQetEuN9w2WamxVIeKF8HThU8ITyQwPfrVfqjJZTNJkkpLJSFyrAGYUtZFtqJSYXJNNmvOdHt36hR3pc+K6Rg5crivFSykMVruQ4E5XhQh8B9BAOaevUjLSDgsStAD/ypOQp9J6Aa/E1rRLuYfxp+GgqmfwjQQOBIFULV/r6xMlFMonLjWBYwuAQUhlPFCwm5+Q9hwRRHCBHES+szpenB/Pt+WeD104QyEHMby+XTRh6hk+o9ee7wpQuAjgwD7kf0alBJlItrV1bWudJ65aJYtWDTPhg4ZYuuOHmf96/rL+C4lgtgBlB7Baymte7gfz3dC5ukTL/bgZfmRTbaXdQQOTRTwCU6ElwafEiKHsj4lDzDwIviQT+CW5DlqcR6K8yEaIHiUBp4cPFx05b4UfYI7Byr7cpRDavzOGFSLa2tTiKP64/dqvTfOl0sZmMsmInyJd6bbKmuSgg3hvYKfs/Jk42+MDiE6gbmlugyO0I3wvhP+MFEs8dwewhdbhMAqQKDXr6C8QuDWWX+kvfjym/bC069Z8+J5VlaqtgH9h1hTixKi5WTla5YlTpuyoW2xjVp3mD3/7BuWLilppoQq8XSxRQj0XQiIkPTrX5+UNBUTAdGDQIWwimpVoMC6AiFE6IAQQowgShxBqOm7AOrbT5Zvb+2qhpKy1nyLGJqMcGKFLVq6yGZNmWXvLZyr9yyGRbgQr4mx667nzBHx+JkyWdY6krLofRtK8ekiBNYMBBBWYPwR8Nh3tArhYph+hA4UwoS8ulVakiF7FaGkoiIrXN2wXBBEMKSaEPgbnM39wbqOdyIhEe7F3dXeF0iT0DqEEYQklFTcx3iMUygkNKBT4TY0zjPP9nbKYEcvpuUAjV8iBNYABEqi2ekM+1Q53bqUGkyDvTt69GibuXiG551dtGShDOwLbEC/gbbBuPWtX80ARXe0WqbLexF8kJXCgvxABYWABGXyGnikHjUkyhsU/HzSEqWO8J/wcFp5raSpcXyZKO4THiot7zDQNTx1UvUtwZPAt7W12WFbW5t4nZaLzwKPE64Gv817RPnHfRiB8TxfuHChK3tQGvKOOci9BW3IZMqXh7mh3KIvxqcP8DnX8G779at1Pp8Gn5cYJCo1l04P9WNc6BDrhuuZI88UvJp61EuJk+lVEOj1SiY2c01dpb3+yluWb8HKJgarM60NKi2sjH4kvEtnFT5XXrTFy+bZJz47wcpvUz6SkhCCmDdX/8YWIdBHIQCxgFBAcKork7KlECj2DQQJYSS4zobSrBDNhJDllgs+fRQ8ff6xKquT6iEwK1W1lf7OX53yklFWF0+JNooiyD6WTuWkVMrZsCEjrK66Tk4NKeW3k0ArJX1sEQIRAqsHAk1KuO/Wa+FhGgoiBIyWpmZPxJqXF3ZQ9AcFD94FCAKcb29PKgu1tqrktPoI+TT4HWEDpRNh0uQNAaeD4xFmguWaPgO+x7jA9Qg0XBs8GoICClqC4ES//M515AGJLUIgQmDNQIB9TkuU0GRCIC8TFSlTyt0z0MbKe2nq9He7Qq3StnDJAoXGL5Oyqb+NUb6muup6xwngA5TZeMuwx+kXPLG2e7LkVCwHfBu8lHIy0IEHg6dQRUUSbsbvKHbgtYNnENcB20TZkxh4wdkJ3kw8QoEzyiM8pMCzwJ5QZ4wPwcgb3gH9Mhf6DF6q4GiUQYyVpMZQiHOXwYC5BIPD0qUNvk7olz6qqmq6DAYFpw3cz7XBew38HhVMa2ZP97VRe70EwUZUxjptzAZVUlDMcR4XRZRIykXiib4VFqKQETZWsZNEd2hyxbipKgvCdmwRAn0ZAoFAYa1ISaEK4YAhYd9ArEK5awQbzrNP+B4IZl+GzdrwbE2ynFXXSbmY7rQ3prxqjz39mE2bOVXFEtok0YrBqc16hSmhRNtg3Y0sV15tzY2tOpqsvl/12gCi+IwRAmsMAiHcLOBpx70KYx2i8BZwcbBcI4wgZIC3EQSCcgjLcyLUJOWnE+UQyV6T8tkIDvweLOHcF5RWPHT3kDks3eB9Gv0EOhEEG4QZr1TVZbTgfGwRAhECaw4C7NFCIQnXCsZCPkPl4BFDRlpdZW2XQkHK6XJ5KaXy8mB+z55/7QV7TTzB/CXzlNk2kY/apLRGKYKglJPctLY38GN3ZQ34mb/BweBYvH+Cko7fwJvgyYBHuRYFHgc4GDzO4fKojmAEpq9wcH/wJg3j8R4Yh994v9wbPpkL3mfcwzhJURfCIRPPJ67lPpRZ0A/uA9czjzAmBgboAkaGoBzjM7YIgVWFQK/3ZKrQ5pT63TKyxEsHr81fqcTeVEsh63fi1l1KCWnKIr/OuqPRPMl5FHdAuZ57TqakJOSqAjLeHyHQEyEAoYCYQOz4HhRJ5XL17ZAVOi+iCNGBCEHQIFh8D66zEM3Yei8EOoUDX3rlRZs1e4aU7Il7dTpL0k9i/KVUbKNscblV5mrlNj1I7uASMsuxYuWd4aBUeWwRAhECqwcCiQdCUngBAYFErG4l17YD91ZI4cQ+RGhBIAhCCfg8SfTd5jg7WK+ZJcIMAgdCCZ5G/I3gGBRT4HcafXBfUHBBJ8D7/E3YDOF5NTWEbiQhs4kQm4TihPtXD1RirxECEQIfBgIoBpqlRM4oZE4Cj+OHchnWaXyvr+4n70aFZpXarbWgUC3xADkVFeiQsqm9M29zF821eQvnKVxrkK03bj0b0n+wvJi78JFCwTDKr92NnEqJ52aiMEoKLeD1BXzBvUEZA/4Eh/M3eBSvoYB3+QSfg0N5Z0H5FHjywKMH5T5/g4cT+mDL++Fd0AfX8Tvjeb4mXY8Xa14VAzs7i8txfVrhPIwBG4/nui5zhVRdXf1yuYAxMETQL30wV+YPzYmGhLV79X8UT9/rUUiFqsk1TCvaZ3bfyjqrZ1kDlRYq5NHUIYughKeshKa2jnlWN7jMttxiG1v8njTLHULK5XIf7EqG+1EAMvYRIdATIaBqti64dJLEWUwIhCQRFvQpjz++0wLRgiAFN+moYFrzb7Q8Ja9MeQ90UmrY5T69UB0UM3BJVLnl5JsghiFhPGAwFfVmjfkl9u6st+yRfz1gM+a+q4KaEiilPCoq4TvXlqeoMJNWToZqa20r2jpj1rX6WrloKw9ASQr6osbqrFAyUC2g1XlYhxhjPQvrFEaJ1imjAWWVYX4SS20iDMNQwZyxLmHUnLkjeaUO0sNw5LHqSjFG5Ryq5gArPPjEXonBltCuHBSEUPs4Os89/M5nm8IMUqr0Ffrk+kJXzj5KAftWkddXQed1k+CeKAUu+tkl9sVvfNk+ucfOdt5F5zu8UAioO9MOcwavTGHc5D9Icisr1KkqZ1dd+z/22YP3tvsffyiBcdfzMx9/xh6g4ONd8DxegQhYa07MD9g7HlnJ+ijrSHCM7LZu3AFqUmEk7zodFdi+n9VY56z/5esRbC38HKzmwJvfw3UIGImSSLmbXIBAwElCJUJ/IZSN+9gvrKmgqOJcoAX0nQgiieDiewOco4PcS+y75Bz3YIVv94Pvsa1eCBTA24JzeafwPFWR9Y6FHf1dgr9Xtv9W9ntKubbASWgT8IDovi4+DP0vU1h1Wrn76KfYrjUqPiOsFdZqSsasonLAgJO1eq0gI69XLRUqAacwJuvLPTO0nEAxncLd4L6M8Es2nYQCFRTWLTZGRmKFIJVJoaJ9AxwwMPMdPMtRrj5yyjtYUL6hdOZ9ugA9YA+w5hnL90Hhv+CJJ1rKvLVrRDOgaSiC5KGow591JfhzZb+3q5+MlCDAuKRIjZQAAO3sYusMh+UtNhhv+WaNJz6hIlNlHaK3afEVKb2rDnk1pdIlW7B4tj35zKP21POP28KGuVae1bvU2vN3SVYRaJ0YixRrUIxIuRRQKWDfx5uWsOM68hhhmGXV8p09iSKePRL4lqBgAiQhTI7v4NbEwyip+he8kHwPQ0O76D44PfzNd67jGg7uD/iaPtlbYeyA11EOMS/mzDyZLzmZwt/hNz55Bn7rPh5jJF5siSEhKpiAY2yrCoFer2RqkNDw8LPP2frbbWAHHDHRtvzYZlZTX2n1KtmZqaq1qhF1tsu+n7JDjt7PUjVmjz1xv2/YllahzdSQVYVfvD9CIEIgQmC1QSAI80EZyEAwIEHJomrEUqwoVl/Ko7QSSza2LLNXX3vZJj872d56+y2fV2Bi/v8m2arQuOGDhitHwwDEDBcWOtrFOBXFrOAMKmlgdR4wQIQ0l0u5ExgpquNglU2YJgkOwtdB4EE44HmCIrQky12ZeN2MlD6dWOhwEZdgLBugn3NFlfrKdPWBtx590DoI95GAgmCEgFMlWtIpwaOoMtAuuGgeMIuMF46iFFTMxfV7Yh6xAJ522mlG2eLuQgzjVFQmFlCSNPMsXI91kLHIg/DM5MnWJLf1fz7yiAs8hElxH3PGQkrfa7oBvXKtCVd2SjgpKNdhohRM1srK1gaedLxjEpy60NnFVK9oTa7pZ47jRwj0FAiwT8AbCHwofBPhkdAb7ScVa1jZ/lvZ71YmPK9+giDKcwdcy35daRPubmvPu8Korr7WctVSCjFPaVAKUoC06re0lCDNwmvQLfCae9kJ16KowAsHI0q2QiGgol/oXKlqWtDz5nV/o3KWpYVHs+q3WdUO07puWXOT959C4Y3yCoWV/m7RWNJ5+ZjSTiVGA+EbxqWhlAUPg//5Hs6v9BlX4QJyv+ox3GtYVg3BGcO38prheeSKmlV/hyvqIyN44Ykzbtw4x708N2sKmsjfvGPWFjQWWkf17acmP2XPvficLVy2QHSZdyOFtpRkLSocwnqRvklrRNMXfY0tQiBCIEJgRRDo9eFyNZ39beqr0+yVJwfb5p/Y1EZvNFRETJYKIcaUGNyUkHtrS0EhQBmb+to8m/2Okh13VotoSQAwWbRj2OmK1kf8LUIgQmANQiDxFnjfWhaEjpSYvZSEg9a2Rqvt308KiSZ79c0XbcasGZqtBHspbTrREsGBr6Bh0Rw1YqTVKl7fvd26FAHq2hUDwdNiBV2s0k+47zNGUYohmN4OlDtdSjSEHZQuuJ0jaIXKWYT78BsMcxYBAksgih+eHGFM17qApHN4z+SbWz20CKURY2QkZCxbtsyrKLa1JNX3eAj36ND9VPeiocjqkOKqwnP3SViRhbxMVuIi3j0aMwkpIvlxIgS68knDMn+UMwhTabdco63r8PF4T9xbW1VtXz76S/b3R/5hXzr8SOW/6mfLFi+1+rp+Eo7aLd/aplLFEti6PF1WCcircHNKnmY8b7YCbzk8V3jGxDPShRXWyApau9y5ECbxOnAvuq7LuytNV3B7/ClCYK2GgOMScowKD6BQEaaxgvZRGR5I2n8ZeTatSsMDxhW/KNvBaV3eTL63hcyCwumDxsD7EwURypvFS5e4sgIlzttvv223336bvfzGKzZ16nQ7aP+D7LivftVqVFSCsu2uQNeYhOcwvudWVUN5jyKpXM9dUp9X//wKe+HVF+zdqW/bnnt83k4/6YdWTWUu9VGQgSGLtyc4Vjiqpk4l2lHSy9v093/4vd140012xvdOtU996lOJAQNPJ82PA7qCh/fqbiTJD7DksyiPQ2h3CU9b0QvKy6/OVlCYnDCvjRw13OYsnGVFwaxcz11GKJxauQCeV9jccuWTYMPcCKNb0rTE3sq8ZZtsvLkN7D9ItFBMgRsNWHvQysRDZ3XOP/YdIRAh0LshsPqx7GqGT9uiZUpsW2n/vPsxmzVtmm2w5QY2ZuN1JFsp34zJat1cZcvmN9gjk1+z15551zLFSifQpfIWT35bUZ4kulzN04zdRwhECEQI/J8hAENMDD3lzJ25kyLIlSFiHQmH6ZCr+3MvPm2zZs2S67uy0kkZUJQXUnsx8YhBObKiVte/TkJC1pY0LnXvJcIxvOGpQ7XOldy/or4/zG/xd7uDAAAgAElEQVQIBDwP7vj9aus19yQsCAacI+QK4zuWVmCAQIL11eGBNVtCSkuXMopcAikJHRk9kyuhuvLVkMgcLyJ0bo2yhFMyuLW5xSpqpLDSmHl5KNFPVlZfFCNtba3Wf6DKCsvDqAPLOmOKsfbwBAlBBEA0t7Yol1VSBhhhya3ygFuwK0hplpNnUqeY/JCYlUpgNPIItkgBtcsuu9ondvqklSnMZNniJbI4J5UAq2qUcL1L6PswMFyd16SyZdawaLFlCgrJUK4HYOQKIkItcFhYsY4p8TRoJ1RRHmIIPLrJPQ+4P4laXJ3Tj31HCPRqCODhiHICpxHCX8BLTa3L3HgKrm4pyqtnFRr4l/4Jt8RJpb5+gHBWkpjY8bLoz4pajpwvUoqXyz2zVopyQpHzwm0bb7ihjT3+23bz3/5qP7v0ctEr0S8pjlrAz8IfeNKgLGqSkp8xMl3eRh2aC3SoSDiZ/p3w3e/YXffebT+78hLhzNYkXxlhcMIj1RgbRAcKghHKOAwG5cL99PGIvENJbvzYY4/Z9ttv78oscCoKsJD82JVr+rc6mxsYXDEvY7c8gdw7FwtOV2ttXb3jMwywL69MKk+Ch13ZJbiFsC1gwvzcW048BBVpMQg0tCy19mylPffKM9avpr+NHjHaBg4cKBqY9z4qKiucxsYWIRAhECHwQRDo9UqmzjpZRYSns6n+9u5LLTbjtddFMF+SbCV32EyHNSuxLWW4WxsbrLaiRpXmlEQNQUbV5cpkZdAfHwSbeD5CIEIgQmCNQgBm2plhMXW4gTjTL+8RmNWZM6fb29Pe9DCttHBcm8K8mpWkF4ab62BwYR5X1BbJJb7tDVVMyYfcK4nShz7zeUIcktCyFfWxKr8lCqYyhesNtK02He+hBC5UIYho7q6U0N+EWfDZvVIWf+fFDMPo5mqrrUH5pNLyOuK+goSeNlnprVVerZLQ6mXlblG4BWEUHQJhi64lL0GbhKJsViWBxTCXa0z6KpeiKSflSlO+WeFhJauW8gcvpHYx4YR+tCnvE+Pg3UPl0iXNy5L3I0AsD8VQnpLmNlWeyeo9uHeTmHgpC/G8KvJO9ToJy0Nx01+JWZvbG12Jxm+E0jFeXkJV2X/B2r6i97dg6Tx78fUXJFhQOEAeFISnCO7kowrvZ0X3S7vk1+PBhMJwyZJF/ncIWVzhvfHHCIG1HAIoksI+A/e9LY+eBinJCdv1pL5SYKxSk7IXQwRj1Nf2ty0321L7tNrpB+cSJckHj1AUTgVvobhpaVChCCnCsuQ+0i1p9YEKpVpepG40wEtU+B0FE/2C58ADReFT8L17Gel6nDehe/zN92oSL4tnx+unRt6dZULg4M72ljbhUXkwySsU4wJKLPf4En45/hvftPvuu8+OPOzIxKAgIwTeocFQwbN5/qgV22A++ME/5C9pKZQ68AaVRn3+gjk2fdZ00ZEkxw/P3NHlUfQhu/u/X9aFf7OV8jZToSPH4Xr28H6drwDmgjcNzycUTFwTCgSgHOP9LmtYav379xcdbXWlXUPTMuc9YosQiBCIEPggCPR6JVO1W46z1tig7PhiyMnvMXhIvZfmJgFeQ1NejO0ShR70k4WEPB/S4oswlSmUhKpz5apIF1uEQIRAhEBPhABMYUbJT2FICeVSdJsYRClJFHb1+luv6w8SfiZePYFxTJJUJmELRSVaXVHzBJViPlF2lKeTalR5WSpTlC9WYmbKHa/W1qV8KYmxzUnRQ7gGFVJcKCExrKQAZ8b1tyuTpGxCATN37lx78skn7UeXXOAMMyXfjzzySLdcv/qqyjLPn2+bbrqpfeXLX7Udtp7gSjnPwSErw52332r33nGXNcxbaIs7mmzEsJG22Uab26knnyJYdtrNN91od/7tDnv73Sm243Y72WUXXWxLJRAtXLjQfn7NLxS+8bJX5Dn3rDPt8zt93qpUgQs4h8osv73uWpv81DP23py58mZK2zbbTrAjv/glGzV0hCcmR3I67yfn26tvvWFz1c/+e+1jp37vZBeUYPlr+9VZS1OzJ7BFyFqTraq20hVMxQ6FDipxLSGYnmSa96IcIysrnoGSkrAKjtZ8ktgayz6C18oE2DX53HHsCIGeAAH2iCt1JfSj70cBAE0AXxPyJN/KVZomSfxxv0ThUpAihDBr8G2BIgie027F3bs3kXAz80NfEpTsjaqICL5N5+S91Iq3FUnnk2INRZTOOgg/FoL3I03Ym1wck2fV1YRiuQKGZMTyJtXfThN04LGEcgOFFg3lG3QMShdoxBabbW4Ttt5GCa4zTivwXCXsmhDmkNCYHHjkjVqdzceSd1C5lE2EObbKcAGtQ5tWLtrnOr7V2NKi6UVVim1szos+ybO2K1454F7gyBz5m/eekSyFNxNw9lxNLA99ZvQeCT5/b94ch2dDU6PT4qCcWo2PELuOEIgQ6MUQ6PVKplSzCE2mYENH1djHP7edrbvlGP3dZaEAoUJD5LH66nMz7R/3PiU3/ZRViKC1lZaJtsWETL147capRwisFRCA+QtHyblS5QnKEtoFk554NcEkwjCicIFRR+nhIRArkBJcmJAHE9egzIGRL9M5chchdJCzosvAufrgnEHgSHJqoBwLOjGUE55RSfMI1lYEGJRF5FMix9Kuu+5qG0/Y3CZOnCgBp8weevhhGzFihB12+OE2WUm1UUKdcfaZduPv/2jD6wd67o7Lr7zCbpx0i5124vftMzvubHlV0bn9ltvs0X887hV3CJ84YOL+tvEmG9jXv/0NeS0pNEAwIbSD+8//yY/til9caZNuvcU9nbyEsX4Hhk1NLfb8iy/YxL32s8M1h4Lg+a/Jj9l9f39QlXuetV9e/XMbOWS4hI5OO/vss+22u++0i666TJ5VhG3otN5dVkIeQhP9uTcZScjXYMOCXWiTd5zCLcqoXOOCH2uGZOxSNq0k+auH+ZDgVp8sxaRCT/JArL/YIgQiBD4YAihq2CfgwGBE8ITfIGYpfPHqWZVGfiD3TuxihZOKVIkSyIslrIRHJuwXRQMhvnnhSvcmZc7y8sxVKby5a3JJbqmkVDp4DYNCq3ALVddShL/pmTAupIRTciTFVjggXp2Froll5ImTkxdTo0KOUb6Xk9hbY0E7KqtVQVo4CpyZlwLOZEz2fHtKAM5YKJhQLqGx529+IycTuI1nX50N/Ei2wLS0NeVU4dPfRKSjyCHkGo/Q1dk6U8LVgm05Ccg9dA883BWiLroTCmG4kq5LiUfxD3A2tBBPMTzbWH+ex0rwq6+vl8FlvsOPNRlbhECEQITAB0Gg1yuZ8iI85dUdtt+xB1pugDTy5c1ekaKk6nEVZfXytRViVH6ODT8+0tbZdKL9/so/WetSuYJmBgpJEh+9mi31HwT5eD5CIEIgQmAlEEDAcGuoGL/ESiyPEjGD9QP62yabbGRTp7/rjB4WXOSOxBJMsljXZXygkBAE/JzKQWfF8MOAFiQkZMXgY82kP0pTo2BZna1YjvWcUImk+hj5QIJQhTUdRddyGGgiwIC5BqUaSrFKMcgk677s0ktdCQW8Dla1tx/84Af2pCqPomw6eO/9JLB02H0P3G+jx46x3T//ecuJ507Lm/Xoo75o09+eJk9XCW2CWRneVVLupCXAUPUOYaVCHlYotlpIyq0xSgI2paN1tehIm4+L8LLNNtvYYYcd5u+iXPfsuscuVtOv3iZNmmRXXn21XfijxPOqXEIY4XfuqKRnIA8UVYLa5M1UAU0Tk4+yqXw1J4Zd2butKKuUQhP4KpdJqVW5UvAwSHuYIALeylytCkoqS3Jw3i/CC++S9ZsIzL2e/VgZ+OLvEQKrDAHwGXsGAd9LpxOC26m9Q+45eeqsSit0kruPHjBkJD0FZQR7lFyAK2oof5jfspZGu+ueu+3W22+3hYsXedgViosqFdihuibXBBzphgLlS7rnnnvsrr/f5Z4xLU2tNmTwYPv8brvbPnvta0NVHdpxvHIClcCL8mZqEX267vrr7PFHHrd5771ndf1rbML47eyIw4+00SNHJbneNNmzz/+RvfLKS/be/Hl2wJ4T7eSTT3ZjADgd/IOyhM+04OmV8FZj65S3J55LVOhEwUSIY4owR3micUBrV2cryfs0IxpWJToKPQm4F4MOCeUdLno3HImxKTFSMScShJPg26utqqGsGzZsmOd/nDJlxQas1flMse8IgQiB3gOBXs/lNUvDvsdn1lfVijb7110v2Nsvv2sNCxQaUVYrLCklUkYx3BUdtuU2Y+1ju02wHXfcyh7+20uqTtGiktHK27F6vWV7z0qIM40QiBDocRDopNwOig8JF0UpOwiXI6mQopds1MBxfsxftNBmz55ui5ctErOoHxTmhuBAInDSEnkog5hqVwpIKYIiKimpLEZRuYfGb7G18gINUCJmFDx4qOh+WT+p/IaP03+rBWs6ghRMsHtUaa604JH179bYnEI98rLWDpTSpqNFHjdlOct2KExDoVlbjN9KYWuP2+LFC61dAllBz9XaouqiZSqNLVjllAcqW8x4tbmTTjnZFR/pzoyuUei1FGwFwaaka7PAX+ZnAlP4niW5rOaWLpATJUmOC7xJgNsha3yZFGUIf6WCkqOW0nbUwYfbnXfdao8/86hyLzVbdVaWYV2Xk7eWekIz6O+nTO/Hc5SgfJKSCSXVmm450c/P7rzHfzwNX3J6RyjNCE+fOX2Oh1rwXsmdEluEQITAB0NAqM3xUuIwWGZbbLCNbbnJ+C48nSTi/+C7/4NfunRKeB6hKFpZa6eCpio3nymP0Uf/+bgddehRduC+B9iggf2VeLvBJv3tVvvV735nnVIyiyyJxrRbm0K8T/7R6fb6iy/aN7/6LdvtM5+Tp0/WnnjqCbvg4gvswYcftKsuu9IGCT+XpMDPSKmGQu2Vl162zfbd2L5yxDEeLvivZ56S0eABe/Rfj6kK3ZW23qh1bEBVjZ1/2lk26d7b7cKrL7Ey5SrsRJEkOEJPPA2T5uI07r+Af/AkwjuMBO7jRo7z46NswSspMS4FOp94ojndN+UGVLhiRU3GJj/3pC1tXJLAwzDeJEpL5uP4WDQoVSaeQco98LbSwXtOwkH9B9uIoSOl+BvuCsNFsxdbZzs8RuKB+1E+T+wrQiBCoG9B4L8nQawmuMkGbxuO3tzum/S8TX5stpIPZmU9UZUiLMxyEW1pXGjFlg57/J+v2oO3Pa4wiK1kneaxlRRcpa1jixCIEIgQ6K0QSEl4x+q7ySab2cYbbCJr4yCFUEhAkMLIpODAUgmziWcNjDWWSZQ45Ihwi7gYytmzZ/tvMN9cG0IzsG739pZRHop2PTOeWXh2bbLRpp5b6cSTT7KHHn3ES2WTSBfPsHyhTfAoeMLTtHL7ASvgQVU6QgMIuQA2wCx4j7lySNeEg79p4TzW/KFDByuko9otydOnT+8KQ0zyXvR2+Mb5RwhECKzdELjjrjvtYYUq77LLLnbMMcfYiOHDPWQu5EECN+KFFQwGDz30kL0oBdNnPvMZ22uvvTyZdJVw7o477mjHHXeczZgxw375q2scx+LJSpJzlNTbbDXe9t9/f9vtc5+z/fbZx8484wzbe++9HS//4n/+x3FuI3nt9JnQur6vxP6g5+xOh6pVQZXwtqbWZhW8UJSH6JdeiSu/Qq5C6BT3eL49GVRymSrBvsK22+ZjttnGm3tlubqaWr1XGUaAL0qo3s8erN0bNz59hMB/AQK9XsmUKV9kFYPL7Z03pkqKqvTEqk1tqmBTrmSDGVVBUOLV8g657KYH28svTrOsMoUrpZ0LWdVVdf8FEMchIgQiBCIEVhMEyAwtBVJVrsrGypK79Zbb2VabT7ARg0cp2wPlmgvLE2nD+GeVywIGs1hs0/lmn9TsuXNk4VzqyVeL8sYJiiaUMr2xBQabubeKHrRKCEHZVpWrtO9/90QbO3Yde/udd+yMc8+2fQ6YaFdf83NP5J2pyrn1Hi8qKuuRo4p8RE3LGrzENhXqqJdE/xmF1KVUWAKvI5h2mP3A8AdhivFJgMv1hNL1V4lv8kmF63KyCscWIRAhECHQWyFAcQaURijiUTKhiADXuiJCODEt5RDemYSokVScTNK33XabvJwabZeddrZKVZvDy4dGEvGdd97ZjR2PPPaoLVI1M2gRdKtD19Af1enahZMblpJTNWVHKDSZsR5//HEpmJp8bPAvnysL5e2tMO8+7+CBBJwC3eNcOJJE8UWF1U9zmkaId64ySe7d3Er+LAxQXYm/FdJHSqsyGafGDB9jn97xMzJgjbD+dfL4VQJxcvD9L3q3knxdfQG+8RkiBCIEVg0Ca94ff9Xm7/kzpJ5XWJzKbXdUW0lunBmS64mwFcT8Z8uqbSFCQn2VlVfhCkolC4VCtBUUMiKMKot1bBECEQIRAr0RAiiCiiA1x2tpMe1VNmzwCKuTNyeeM2/NfMMtvTCYKEP0n3voUPGGMASMkVgz58ybbQOVHJvyylUqCY3nD4xrb28kiPUKeqpIJF8t23T9De2aq39hj/3rSbv/gb/bC89MtjvvvsOeef4Z+/XPr7Fq5SAizJBy2Xg0ca8n9xYgmqQwqhGMEW6WLl3q1eSAeak8yU/x//Vo6pRXbYW1dLYnuaIKykXk8Y5JCAzeUbFFCEQIRAj0VgigOHrppZd8+ptsvLErj2oqkkTReCIFpQRKD/AjdGXKlCnuvTR06FBXBBVkCMF7huxInEch37CsyeYqp1Id6S6Eb7mXMC5y5lXlKrxSG168o0aNci+pXGfOPXLrxqlAg1pC61acT6q3wrz7vINiqbuC6X89l3IyLV622JY2KUxOdA1P3bxCyWme7Fu5AHFLIsdgtartrT9uIxs7epxVKOdeC1X85O0kqcmvQfkHzEmWnlQGlHGl2EstUX3h5cdniBDoBRDo9VJEPj/QFixssi233dQ6M0qKK1tzqVRn+UYRrfacqgOVWc0AWTXKF9qWW4+ypVI4EUrSqbwmaQkgsUUIRAhECPRWCHgyUeUPQnmBq3s7ynOFCdfIS3PYkBG2/YQdbMN1N7L62v5i1pWDQdZKricHBg3rMLqkBQvm25KGJZ7omuZeTHhJ9eIG493W1Ez2CRtQ18+yglW7QqT7V/ez3Xf9rP3sokvt+uuvtxEjR9r0WdPtr7f/VVWSqvTYJYVSN1te1veQA6pdVY0QlAgTgNnGOu8ViwCTYBi8mYIFOZzLS6hCsEoUfXkbNGiQ5wYh/AMBLLYIgQiBCIHeCgE8M9tLRVfAD1bi7lop3oNnEoohlPV4MaE4Kgjf4VUKPgRfVkmpgYIIZQceT+BFPoPyfu78+a7oB5eCy4OXEvfrpI/D97q6Olf2L2lY5pEMXIe3U0599/UGXP7dg4m/g2dTMVWwGbOnysih3FmCUYBhSQYPjpQSyNdV1ynUfmPbYbtP2IbrbCANnehmS7tVyjuaKqLwFiQJTz4TjyneSQHjVmwRAhECEQIrgECv17KkOqts2rSptuOuE2yQhKqpb860JfMaJSAoK5PKY7e2dtq49UfZehtvY+tvONyefuJVIctQNQkmPwYWr2B9xJ8iBCIEejAEKDFNqWHQWLmYercIwwCK+UaJUa7KbSPl+j586AjPyzBzzgxXKBVIrI0Xjiyd3NeiBKuz586yTdbbVPdTkSaj+7Et93xFU/fwtH9/VVi9861tnqtDRll76623bcx6Yy1XIWWSwuEGDxxiXzv2OPvh2ae5JRyvLhJu91NoG4x6Q3ODVdVWWVHKKfHeDtN8e6uXze5U4lNXLilZalAuMT73lXvScqrmmU19Z4rn/yNXyZiRoyQUSNmVV+EJlfiOLUIgQiBCoLdCoCAFE0oN8CU4EPyZy8jzE48ZKXw8xE0VS/lOg674Pa2KMpCifpmSg9fX9EsUT8LHnV1eoUFxQjQC1wf8Cr5NE6kg2tUuGkbOJuiYh+MJ76Kg4hrHwSDfPt660z6+BwUTj83fSxoX29wF80SUkmIaFP4gZyMKuAop+UjoPXDgQBmh6tHbycspgWlK3krwEORtwvOZ36BnnfoC3eS96g/xHb3eT6GPr5D4eBECaxYCvV7JVFZotueenmrDRg6wjTZfzzbaYqwoWQAqYSEiNFTglIAw6433bPLjLyrmuE4WaRFEykav5hKia/b1xtEjBCIE+jIEYCRhqGkwfu2qXgajCeONEqNQEA4kz4KUHkMGDrP6+gHKC7TEZs6eZXPnzVEeIuFH3OXFmM+bN9eGS1Hfr6reGXSC6VBh9eS2IgVTgEmNcimVcM0S43z2Ty+wP/75euX4IHQtY/1qKlS4SMogeXeRqBbYtSvRbDZbYVmFDBCyMX/hAstW1ggWCEyyuEs4QvlEBT5gn1HINQITMGM+7qGk8zDleDLdf//9fv6zn9lNlmRyW6CUUmbA6MnUk5dWnFuEQITASiDQXwqKvBRLaXnIzn9vro0bPjYxXkjJ5LmUhOuC1yf4EXxZX1/vnk+EHPdfZ7C1UTVVygoUUFy/aNEiKTvyNnr0aA8FL8/KAxelh/AleJR+O6U00Vdrk3JpyRJ54KpvQu3wxG1aKtyscdamcOR/p4PB0DRz9gySLHn4G/Do1Huprx1gI4eMtOHDRivHVWLowMM5KxhjMEmMS1LmAWfVVCWROu/HFX/QSsEa5R4V//Ceji1CIEIgQuCDINDrlUw15TW2VNWCJv3lMdt8Qqutv8UAG7vhIK8uB/ortM+yRe+l7dUnZ9nU16ZYqRXhibKievSUEuBFHPlBayOejxCIEOjpEIDRk8ICNRM8YFYMOQ2ms6Dk3uVWrfMoPqQiUdnnjKrDDB48XJbngbbO2HXt5XeeVU4Mwg5aPYfTggULrH6dxLKckeKlt7buIQQNLc1WVqnQaTHZs+bPtR9fdLF98bAjbeiAIfaOvIxu/PON7s21z577uOIHYWeDDTawYcNG2PQ50+x0VTHabIvx6iNjs3X9y2+/7gw4ll7gDA1BSUdIHIITMJQqSqArswcfut/++te/2gYbbmBf/OIXvX/uIVFuCMXrrTCO844QiBBYuyEAPgNXTpv+rs2cOdPWG7Wu52XK5aQwEl2q6Er6Db4jSXhJSqP111/fnn/+eZv33nu2nsK08m2tVqfw7qaWRlvavNQ9T2vkkUTOpqCYCrgShVMpn1QLLc+lbdHcRV5MYfDQQTZ23Dj3pCLEDiUTOLqvt0DneE7oCn8HQwf0ab4KWuAJRnLvyspqJfQebaNHjrUK5apNyQhSknuue3xJuZcnP5MaycBp3ANjkSiX6JsIer1F0bpO+Iky/Y4RP7YIgQiBCIEPgECPx8KZYot15GqstaS8I0KGqaLcYpVINSUXXOnYra2jURr4eutUnqW3nnrZpjwtTKgmp9DEmtHlsguirFRVBWFQ1+anZNkvFWUhKUsQ6wfAJ56OEFitEAiu3cHqB2MAg8QBA4cVMDBOTASGCotdsNJ1F6a5lntQFtTU1CShP8QIuQpClUPEHLCHGKulpUn7QbkLxJQRb49gzX0VCiPiOuZBrgRcpXFFdyZRjAjzCgwf3/k9catOrJRYtsKz4FGtS/yexHsjqXoCE4glk/M0rg9zYx6MB6PE98A4cV0i0L+vFe7OYHlHa2HDQUd2xuVP/r7SnLOyJKeUXJprBGpP8+2ad1mXlWchW9Pfdt7qs7ZoySJ7a+qb7p3z7sypNmTYUBtcP0R5GdpkrEze0ZoCLe+YNcra5ntYl+RMevPNN+3n1/3SUvkOW7p4mR1/0ol27LHH2nrrrWdXXXWVPfXUU8pvnrF77rmHxWPHf+ObduB++9orr79mxx1/nK+zGtGWCVtvo9+OVyjbOCnclNdPj1xqL9oFp59rl/7icnvutVfsnTkzbcKECfaJXXax4eusY7/73e/s8qt/blNee8tOOukk23G77e273zrBXnvzDTvh1B/YkmVLfd4jho20Lx31JTvsoC9YtZKyF7Wv0kq4XkI5VZRAoHBFqv2wbyvSla4wzGiPeg4N5X6KNpA1tfL+O+MGjwvWd2iscaoXgu9KwqEhjwo4NOBRcCM4k2vAn6wfz0WjNcf54BUSBEbCNRN8zopKQolQipYrPIm/Qx9hHgktyDptYK+Bs7vTI/ZiMoeCzykJ002eIFFqi0dDKu3iw7iG8RsaGpw2MUf64/m5jr+ZfzgX6AH3xdZzIZDV2tvhYx+3aTNm2vU33mjb7bijpeUdS1VP8istVqQBfEZeSaRFgPx976F8eC89/5z946nH7JM77OyhWw35Rlfi33fHQ8LVadtph09aP/EiKJwyJfFDImO1uVr3bGottCnMeZAtW7TYbrjzRivJ+2b/ffe3ckXklel7WlU724t5L/xTJm9VCj5Q6CKtscuVZxDZoB1lv7xSezuCJbef84zyQsJzluiM6roaa2tssdffeVkFL9pt8IDBCosbpc+hyoNV5fkWU+6BJMVRSOzNTu0i9f9rz4kYOg1S38l2ViJwDFtcKxnKczeuxQ0FHngNXgI8Rp4xcBj0u1Ln4dO98IgMeY4DqyqXG6dQulKJCpzLuwu4PeBK7oVfD7iQz8AzO7+gfnn3XA/+Bh/DV4Or+RtlL9cwL/qisjDXEq5PP4FvD7Qj9EU/FIpJeP4kRQDXMz59+cHU6Us8CvcHesN8oUlOw9QPLaynQGOgCYFuuSIztj4NgR6vZEplhTDFOHWiDFKy7pwQXJlV2NIlzVbTf5A2S4tekCz1+lfqit3mjZHctkwuoDkpo8q0gVtb85ZvShRK2Uox+9ogylwC3YstQmCNQcAJkNY3SBnkDZIOiiCQNL+R2HLx4sXOhAdXcxA21wUEznUIBlxLkk2IXqJ0Ii+CkmxW1ThhQWCAeHBNY6PKAEuIoC+UVxCnRDBAJpeAI6ICEeBaiFQggsyLexiT3xEa6DctL5m2thYfl2sZj98DQaQPngHixzw5z3WMQ398QlIga94AACAASURBVCSBCX8jBCV9JDlveEmByK2xF9bHBgbmQ4YMsUGyBL+n8Dms0XNmvaeI46z1q008mtbkI/P+3dKqxppkvXCw5lAmXfrTS3w9sy4Cs8Mzff873/P8HDBy5JBol7DSqcqj3/768QnTJos4v+HXSn+sNyy0YS1WKqxt7OgxdtWlV/i4rGn2aFB2HXrAFzwPSUHCuzNjqrJziM5RbYm9l6us8L5yCkdobWxSaW8ZSrQ/qY7UKs+qjPojPKEkLUKzfnfhvkueLnZj5jR0bH0cAuDEsK5dUNF6AkeyvsCx4EHWEniXdZLg3STcMuwN7gcHcx3rPuyVpqYWv48+2Uv0BT3gPvAsOVegG+/je0JuE28Q+mQtMw/2FtdwhL3G79xPX9wDLaEhzJSXJ8/k+cf0G8/IOJ4AWvuIxp5LrlfOHtEG5gYN4jMIJEGo8gtj63EQQMlx9FFH2d13321vvzXFTvj2d2y/ffa1gf3qbfq7U+2Rxx9RNEGicCJ0O6sIgt0/t5s9/fSTdtcdd9v6w9az/Q88wIoyVj1830N27bXXytNmpJ188snLjVueYFprd+rMGVJmzbCBMrK9KMX/c09NtlsnTbLtZCSYuM9E4VgpoZTwGx4io7xQhDyzRml8oldBOPY17JXSEq+fHgfU/8OEeK6wJyGTpFEEd+BRW2gv2TZbTVA1vmrRyzpVnqVSX2Lwo6iH83rkVYrtP4ZAwMfBCAsOBq/Winfie3VVreM954nFb/i5rrxhnVrXaa3TghLY03iX3Mv14MDA/9N3MPSCS8Hx4VzC4ydKnqBUAr+CT+GR6Ie/+Q4OZw/m5AHI7+DaoGiiX9aD8yFqeL1RXTDQl+54mHNuoOvqn0/6CzSEa3nGwL9zfaAdjAcNYC5t2qukGoitb0OgxyuZWtqV7yInTa8hJGghd4h5kRUeb47GvIjJgFZ31x09drS76BK7jQVl4cLFNkMEae678xXjLXfafsOU8C7j8d+FNiVv7ZDAW6Wqc9GRqW+v8B7+dBAMiAuI2QmRvgciwW8QAhRAIG2IDwgbpA5BSSwOef+N7/QRrM48NogdYsE5L7+u+zgSTyGsIon1IwgmMPZLly5Rf7WuBILwwKhBLOiLMSAOHEHZwznmgnWCufEMQZHV3auJe+iXZwgCB+cYk3uwcKNA4/npOyi1AoEKrzGMG56vh7/eHj+9bFpWZilgKqsrbUD9QDHqUpyoQl211g3VZ9Z0Y92FxlpgvbFeWQesUcpbcw4lLOsIxU1eTFudGOu2JjFYMjyw5sv0nCUpm3IVOc/n0aF+XdhVXqWUvlNJjr5QLjFmYPIwULCviqIZKSmEWuUByDgDa+qtrVnCMEK0DBhYiLmuRUJ9pQwbVSq9vURlowvFxNCBV1i1rmkX/alT0nC8xtpkka8REzpmzLhEiNe8ySlCUltNRkZOwhHWrCfZmn7/fX18cCzrGjzoQp9aULYEHM9vgZEHLya4tNqv5R76QDihgT/5mwbtCEYM9gwHY5VLwA7Xacn6NfxNYw1z0C/Xs7egF4zJuqdvzkFzmB/XcSt7BrzOnnqfXiQKJgQizjEG8w84nE9oRfd76T8o2brPyycXW4+DQFG4r1LGpVtuuNGuuOpKe+LJJ+2qK65wj47tt93OdvrETvbq86/aPXf9zaa+NdUuvvAipzWn/OB022abbe2+u+61a379K6uU9w34/JCDD7YDJu6vnHlFrQPxLgql2277j9mJJ55oTz8z2c4652xbMG++8Lyqoun6Y4861g4//HApUhK+Bse8TFYecVKesBZZYy4gs6b93/seGGHN9zig/h8mxN7hGfnkOdmb5Pvr16+/bbhhxhN6w+eRU6lDiiUSsgceK+zD/8Nw8dJ/gwCwBKeCtzrFH4C7wHGB34Z3B4/hgQc+DTw+v/frLx5CihxwaaIYTTx/6CNRCIkP028oDOmDflnT/A7epK9AK/iNa7vj8aCYYtywTrrTGa4N64ZnCLx9wvdnnX6Ea8J83BjXteaYA+sN3j3w/lwfaADzRAYoyKsxrLVAQxK4ve+BHxdW34VAj1cyoTRKydW1JMEnJ0FB0oLcbuWZlG6w3fbdyTbZcR1fyDSvhMAX/W9UaoiNt43Nms2mvTnH7rjhHksVclZeylkmJ+ZLwkRT61IJCbHCT99d3r3jyQICBpFDEILCifNYHghFgFGoq6t3QkPoA5a6xCqRcwIFkud6kLgTMFmfUehAALiP7xAFiASEgUTQGVUeCwSI88FqTV8QNj5L8otmTJS6/J4wMYlHSSK4mIheEpoX+oL5C0JFmTwKuZ8wPManTyw3WLuD1Ya3xD30zznu5TqI5r8LJb3jjfaeWQLnDlXgLOTl3qx3Vask2a3lsmBJkd8u5oDk1muyBYaGtcX6TtZkafm6wEuJ8zBENNYLjb3EWg3WOu5njZFUFuaHRslsgg1R6iCCYN3lIKQNJogwNj7pi8/A/IW/6VMT8vHTOjgfmLjW5hYp6qRU0vzw8GtubfAxb7/zdttjz90tK0Frjqr+LJ63yDbZcCPPj1Eh7yeYUReOZPfM4OnEnGLrsxBAeQRuZt0GAaVNe7G/cCqhcri3sa7AndAF1jP4HVzJ+gv4kjUTBBBoAI1+uYc1Ca0IyqMATJRCnCM0gn3G/mAcGueD1RulFB5JCKrwWJwvlRT+pF3TrrBSxmMehULe7+M7e4Jn8gT6Lgy1u6IMAYbf2JuMRWUr5hmMD8wjCEc8d2w9GwKEBLmiVBjr9FNPczzph2g866BZa+AbX/mGK/Hx2ISP4PpKrYu9d9/b9tljb/f+DLwD99BXSfdDeVBgVfYfqDDnibbv3ntLCa+0GV1riyiFlFx3WlUZteRpL7RmpUShOmitjCVEL5Cg2mlH15pOoJkoZpgna7E3N+f7tD8TXkz0SK1T7lrIStUDMBTp2TtF5yAjOpJQqUQ5LZKTnO/NAFjDcwffueKddaa5sKYw7MITg8dq5dEXeIiMwjPBbxxu7BWPAG/fIgMUeDLget4l7xV6AC/MtaxT+uE84yWRCOQ+y/k4zINrff/oGvArfwflFbQBGUJdLDcU0E+gCUF2AJzMiT7AyRWEnuo6aAhGYlqLxsMzjnEDTxbmwd/QEeQO5gt/lZO8Ta7Q5uYmv9/3v+hY2PN+MrY+C4EebybNlLVbUZb2uupBWpyyFGsrt1Xm7egTD5GCaTT70olOuSokNSxqsgWzF9qS+cqH0SwGRbu+PVuycVuMsKO/c5hl+skbo7bcN19BJVQryhLBpM++3fhgPR4CINqA6APSBVHzPTD8wWIB4qYFBJ0QHnPkH9zDYaz4mzAJhFuIgRNBER0IUIL4k0TF0AAITyh7zzgQo0SZVC5CVu19QDQRLIgb55P7uAfCCDFlLPppbGx2oheIF4QJQQGi4+MqfLWksCKIJkSM50H5hACCsAIxguDSN2OhTAsCPc8aGMJAqMPfPf4l9+AJAl/eGe+jXIJkaxfMwzvsCVNnf/DOmVMQDJivMz61dWKytYYlcJB7oyilTPhOzohWVYrrRDjW74uXNahKXJX/jV2CAyUVnlxYIRmHxj4IFje8ori3QlZ1vnMwTkHXc66iukbLWgyZxmnXuZz6L0tLsarrGIewuHbtqUrtpZIE9H88/qi9M2OazVYlv3vvu8922fnTtuH6Gzn8CS3FwwpPK1qMZOgJq2/1ziFYulnX4N5y4VuU6+Bg9mbAn6xNroF3CRZr1gxCI8I1+B9cCi7G6Ab+BHeHw9dTl7cDfUFf6C8v4x33ggOWLl2s65PfwMn96vr5PmAutDCHIOzwGzjbUbv6Zv584uFEhSpoAn83NCRGEOZOxUv64xqeg+dHGYXQhFAT9ndUMK3edfdR9S77r/IeKfRSvACGYGV7ccRaK7yMMQmPzhblB2pXaAzvGM8NFEjCyPJ2wgNbClFdnxXNR/HUrLXSpCOttVOE1xBfUFS/KpBmFcqvlFIIWL5Jwq34CMbiX514HOehtBXwBC0p9G6BEl7Dd6DE7MBIQKJqLVTWY1jLVEfr7Q2+afnz6IvDAdom2AH/lPJbYTjhueGXIHFO5/rAs/eEdwffgLEq8CPgXXBaq3CdAO60H6UMIfAsUHgY3kOCC6ucL+dcTtE6AY8m76nM+WPwaMh3FxT18ODwxvDl/M4nOJzr8jJQ8Dl37nzHzSiJaPQtKdmr6HI+GTNRJjEXcC8N+SHQGZRcgWYE/ssrSbpBmusUCARvI4VRYkgOBgU9uxo0JvDvS5Ys9XG5F1hF/O4gWitaj/dkKiuXVVcbt3GZtL01CoHoXGwTD/681QxU+ENHm73zz/fs5ZdftanvTJMlvvx9DamQKEzMuB3G2PgtN7V+w6rtgCP2tT//5lYRoiSJMQRS+y62CIE1BoHA9EBYQL6hYYFYqKqJp552hr300kuO+BOLdMGRNwwUuXS2224723///W2LLbZIPDTUz6uvvWZnnnmmvfvuuwojWqp7i+7ZBPEjJI3G56c//Rk76MD9bfPNN3dhJZRVZxwECIhcmQgWc7nhhhvsscces+nTp3s/MCr0ufX48bbHHntoDhN9/q0k6lScNcTnjTfesNPOON3mzV3g88B7auONN7Y//emP6j9tVdrPCNUQ4yeVpPkKudlPmTLFBRDKyRMG+5tfX+PPHRQAgVHsrnRaYy+vDwxcUsU5YJuXkiTAGCUgTABrs4snX2NPylrn/XMEwTi8e+bb3Nrk82xVxSEYNhi+YgeJUPVMSr7pQRJal/yWL8nirqTbLnToH1Z4GHIYLvqgf8LruJYDr6IyKYboDzgVtY9ySmLLOkcB3CkCsrRpmQvolTWyzKGgzaPc1f6pQNHU5owdDlPkFUTIGjNurH33eyfJqFyy7XfYwY7/6resvlqKMs2DfUbS2qz6Iz9Uh5jJKAyssaX3XxkYRh58h4fHT356kd100002f/588SXJmh87cpjw9Kfthz/8oStngtKHNXbuuefa3x/6h98Prt5ss83s1FNPddrAb+B/lE78PmTIoOWeTewf1ju4FAXVzjt/0v7nlz/3pLSvvPqqnXfeBfbSi6+44h/aEcI5GBOcP3jwYNtBa3fPPfd0+lNCeFc/lQoDffbZZ+3iiy71pPzQiSCkcG/YZ8OHD/cKY/Txta9+xeHM/MH5ITQkzC8aEv4ry/A/HoTcpuBhChaEcEnPgSelkieY1lrrEC4L3m1BuEYQbhfNIUkdOLtDwjr56Qizoz9WFA08TCNRN3g3K+VTWh4hPiYKFo1PsmsVSbObbr7Rjvni0W54njVrlgu+m2+6adJHVw4icDxzYr59obk3ElROtAj4lEnuYa+FvY0SxPeSFG+07vsJhUiMxl71VQCsWVcoep577jnh8Z+6TAoPxfl1113Xbr11UrJ+pWgpar3Cfz/wwAP20wsvde/qGTI8jRgxwnneq66+wpWjNfIqxzDbLAUQuJQqtY8//ri9/fbb/jd7AxkA3v9zn/ucH/DSBY07ctQIV+7fd//ddv31f7JXXn7NFVLMZ6xSy2y62cbit3/mlYWhPeDf559/0S677DJ7/fXXbeGCxY7nR48ZbldeeaUtWbLEzjr7XFXjfccVTG3yckduuPXmG/y3IFfAw7zyyit20UUX2dSpU62psc361dc6vr/kkktUMXJwlxyTeL0mRpJVfwexh54LgZSEPJckEsYDt9Jye+qhF+2p+5+3XHutrK9JfP+aeoRChxJ8ZwbJAqJQhBrlmBmesi9+8yDLN3TY7bfcY/PfIOQNKzwa+/fDf2DOUdg3dcryJw+mXXbf3jbeehO78dq7bMEsuYTn5cYnN9OCBIie3SC2CVOIEo0kiMIjFHuwwcMG28c/v0XPnr4IIMIYc4b48454L69Medn+es+krpPmyPUb3/iGMw8sSWdOhLz7OpMJYwDiT7Zh8twQD57dLcha2yhrDjnkECdak5ToEuQPE/Xoo4/aH/7wB1fonH322X5NUMLAaDzxxBOqtvU1h+Ef//gHGzZ8iAuyC+YvUuWtyfbLX/7SslII/eAHP/Dy6olV4n1PJOb0t3vvtzNUwh3h5utf/7oEkp1tpBJzMu8XX3zR/nrLrXbnnXfaOuuO9aSdCCHMn/xoWEcystA88fiT6v9LUgAnAtXRR3/RLrjgPGtSXhosK8yP/hBCIHAozegbprVTQg5rgt9p3eEU1koP3wCrND3fO2I03nz9Lb2vXyjGK9lDIwaPsmOOONYV8KvSUCxmyWGhtUVLmKUk71HiS79q/a/K3MJ8ePccQfDsvgYSxrqrwg6IRS0oZPnMyquooanRGRvWIudIVosAwieNdeTCjGhGsLzxnXGCcMx1rNOETiYCugtOQs/smzBmyL3AvLg3WJHJS5Cm/Lb2elZhcYzP91y5vsuSWCsBHWEJ4apT46BkykkQ6+3CkC9P4XxgXUq123U3XCcvrpmJAKp1/eVjj3HlSNjLAff7i1kLWofCe7ISPFAE4cWEVfioLx3jypoxY8bYXbdNctyLUjPkyGDdcKCgapciEpx83HHH2YEHHujXch1CA7j04IMPcQEA3IwSh3A31h7rHPpy9933Sih42f5yw/Va70m/KJfefOMdO/TQw7TeO1zxheKKe+j3tttuc6MDe+bUU0+3Y4452nF9SbwUY1NJafLkyTr/Fe/z9ttv9/O8W/qgfP1vfvMbF5aGDxvi9AMFLPvFFQworXRtbGa//sWv7PW33xBekMJb5Rj2+dy+tuUm4/VeEs/HNc0f8T55b4F+890V/V30xL1GwXkyKiFcuwJEwi4KDt4xKJv1yPqC/je3tiTGMr38sAZYE+BYmhsNuviFpF8ljdce6lRY98knn+Q8EILs8Sd8x0aOGW2XnXeJe057KLSaewvCc4nuOT7v5csMT0X2C8pgaLnjT0e6KJ4wsEDjOJ8o1fiF0klBuMd48qFaF99eEj548tl/2YP/vN8VhMCPqqtHHnmkd8OYzGdt4M14XtZvqAynx048kQX/V6WsP+yww2R8qnYlzDeP+7qdcsoPknUsGLKO8TIiZyN4GtxNMnznRWQIY416+HEqa/fee6/96Ec/8j2FjLT77ru7DEBDNgAXg0M32mgj++1vf7s8UoC+5PLnxoLbbr3LzjnnXBs9erTdd9+9fp4qoOxVDBHsPz7haaa+O93HePjhh23smBEejkpfGJyffPJpO+Tww6xOic2hWcd/41iXH5gbtIc9GfYYc9t3nwMc31dVJ8V8oAdct3jxQlek4Z3V1xuKwZsn3cRqcV5+0w02tQP2OkAFL8XTrln2epVBP3/afHvyoddFmRTWL555zJZDbe8jdxIXqzxwLvDja9rDWwoXQPJaiKEpdLbY+PHrebLuh25/xOa9KkZdskG7sv0pJZopsM46EMKyUlRkFV5R3mGDO0Zb59KMPf7gv6x1cYttve14a1M+Ae1dty7HFiGwJiEAQg7CLEw734PFFyULSJ+/QeIw6lTUQljYUaWCv//979uFF17oBADPJRLddxeEkzjppDIRBGjQoEE2btw4F0ogVqcqhwIMHpYKvKa4l7Hoj+/33fc3O/74450A3ajyxEepisyGG27oTAQNK/Z5551n559/vr0hJchBBx3kBIa5YpGGmBSLSX/0efTRR/s5iCJCSCivTX8QJwgrvwMH5sX8+RvGtDsz3f0Z1+S76wtjw2zjoYNCiXfAe6L6FJ4+PcGLhjXA+gh7Irx71grfsdQWZBF3a7joBMIE+RE4ByNX0mdOf3t+pC7rOuEanCNBd1jrMFJY2WkoeljDjFFsl1eU+qF/+mU8xqiQYo7+8sqrgCKL81xbKWtm9+tSgqk6U5U5Fa/Q/DAUdLSKgMnzqkahJDwD1vvWrpw7cK2c45mjla8v7LAVPwO4DpyJIBzwHIIySpu3prztVuGQr4j9yboAJ7I2wZEPPfSQ41q8ilA68Rvn6ZfrWUskxQdv40GE5RtBA4/SjTfZ0LbffnvHs0HxxH4INCfQHYwK3APt2WSTTeyss85yjynmdfHFF8u7daaPRXgd/XAfYdR859m4l2Ps2LFOfw5Wcudf//rXLmRgxb/00kt9TPrg3rD+ecbYejYEUGIQopYnfx+4S0oH3mEQNDmHYrNVeb94x45jXTBPPE/5nTWLwpN7qBDH+3fBVjnpJIOL7xfO1XfGKZOyCrqExyljcw/0Crw5ZPgwN14de+yxtuWWW9rJp5zk+yqs7aC0CusKZX5vb9Ap4A1eSGPY6KKLPGMSZpUon/w5PXRD5EvXJkdvf/o1P//OLl6YmYBHOVi/zjuI3h9+2BGOl39z3bVuOOj+O3uBPHe8w7BGUbYH/Mt94Pfvfe973sett97qhl5wKXuG61jnyAAXXCDvU0U8BGM0cwi8TcjtBH7trrjlb+YQqr0xN+bCeTeQie8J8gCpMfjOuPSN/MA+/NWvfuU0inNhLSKn8PyBVnFfkG24hgrUeE9h8I6t70OgxyuZskWFJ6S1GVKq6iPPqgEbjLUZbyywqVNmicioVHRRgql8ZdNSCZaLwuFomxIBK1Ocd0Y4tSkrYRei1Vxrzz32jg0ZV2F1SgCeLuZlWe7lZoy+vz77/BMGQgBi5+BvjkAMlOnCkXV5uYQHES2sxdmcCFNBilIxV7jIIjiA5O+6665EUEFBgFVaCp5yeW+0dFkiPHYcAbpdFbByKfvCgftJ2VqlXDVNHq6mYdVPEr+PheGHZ56nc2k76aSTbITCNqoVEtTSvExhRsrFIWaP/ksdrXbwF/a3T+68k82Vi+15P75QnSRhq+0KV5KJ0d8hlrbjj/+WjVO4EM926qlnqMSurDaaU2dJXiXlClPSpe3Kv0AMKyVgW7pCobg+wIPn5Ijto4EAuS86PYcLfHpCDvw7kkDCk340A/2HvcCUJILK+2Vw6Wr5/tBS8MSnWKb1iWXIw9xImo0CjUfSd6qKwjj5fWKOCK9ow/qrT5RKMEWMw14LSqWQVJz1xn3d92eYV5m8k/BAcgHIK9slhovAZJW4V32TwDuFgknDMyZeTQhKeOphTWaf+ti6gAPFFWF6sfVtCLRJEQNT7jkxtMbKtQZ33elTNmb4SEtr/91401+1bqWg1G+sS/A669Fpgs7/+c83KFx5T+svb6UycHeHcHJRVQ8VUtSBlwLKURROwtUZeR4go4NvrVO5mKQ0HT1qeNKn1mVFWooeVZTsIN8NwqpCTl3Rydj0LeOc0twKT5fZF6QogjY0yfNk8mTRDs2pTYoCaEyFvFhJJp5WqeyMqjmiCOD+oizzgW4QGjLhY9uha7Xnnn9Z1yS0zz3eXMjBKh75s56++v19SWnPe/d1KVwKHga/gYeh+7Ss3ich2eRgAgVzTRKGnBgzgrIKnMjaRokP/mUPUDGOw71CUfKrBR4JXEouwTItpJOP/77dduPtdv+dD9j5p59n6wwc97/nBn7V/nLcjT9Pl3dTT4fxiudHGoWu8EE9jz+S6Bueb6XORGGLssAPJQDX2/Hf8ZDulDdLbKsGAbCy42bWlXhy6HlaixXeF/x5wreOtfXGjvFBzjz3PGuRV1Fa3ssod1AIdpZanOemwFWH9hL3d4iHADcvbWhTuomzHBee+N3v2nrraj2LjwGXE4EALYB/5nO/ift4WPWMWe/ZT35ykcbXOKIBLAjfn5pLBxpgKXyd49E+Yu/SN/gZnOsMn/Zwue5rl3yc0nPA09CoSsjGZT9ntH6+eORhNn7zTa2YytnJp50l3ibJ/USf9EdLiT7kgQcpCuC1NM+0xoemgO8ZO7a+D4Eer2RiwefFnHSIKZKuVJYOVeWZPVtW4U6VhK6xNnkrrejAxwlkCtJtbFbYhJge3SrriIhjTMjU91d4L3/CYN2G6Q9CMsxcYilJmAQswlhC5syZ4wQvIHksEzB/WPOC1QBi6IoarX0sIVgOy0WAiLWmTxcIdM3NN9/s7rDcu+uuu/rYWMy7WykALZYNLBUTJ070e//2t795aEewhnAf/fI3c7v88su9/xkzptvVV1/t885mFHak+TBHvKYgwIxFLpDYIgQiBCIE+ioEghcHuBq8iLIJvExZdkIsH3zwQQ9Rgyl3bx8xL+BZcCoh0y+88ILtt98+rkgKFnESrNIXLSjkEdxpfDIWamSuHzdunHslBQ+o5DcSwEpJJNwN3g7Wa+aA8h+cDW4eNWqU43Ryb3hlX7QHatwTaJQLU+qHsaAd4W/OoWjy8DrRj+4K3HC/dxZbhECEQIRAL4UAePriiy90nE0IXeB5Q5VF8CC4OhzgXb6Dz8nBBC/Nd8LX+I3v3AMODjJA4OkPPfRQv/7+++93fBuSea8K6Jh3MGowNgc0BPxPig7mQNgznlTQiazka65nflwbW4RAj1cyJUIvFbXEhElVVKXP92bNtg5ZLlqWtVu1PJ1WdGi9uxYVhm3R0iWeTC0t178Um4XSnrFFCPRgCEA0giKnRRUlOslvIsQOs05VCb5DZFDOBLdYPjkPkYGBR0hBQHHGXzmQCqrQEjwvsF5wnlxKND5h8h9Vkm+IGWEVAwf2Xy6c8Bt90pZbcETQCMFDQJk3b57itp/0OUPouB6CwxjkZSBsg1h12m9/+xubOn2ae5wkz5EQT+YahCa/MLYIgQiBCIE+CAG8gUI4ATiQRlL4fffd1xUwhLrdfc+9ruxf2rAs8RDBE0MWZhT6CCuf/OQnhWuTcCX6AC8H5T20gb9dkSM8m8YjVlbuhH4k1XW32moL/xvhgevA1eDyoJgisbcrq3Q0yhAAbie5LEIPufeYA9dzDeMFmoQ1neqm9B2ejd+hC/Q9f/5CT3JOAtkwT2gO/QRFWh985fGRIgQiBNYSCBDJuamSz3/9q1/zsPhf/uJ/bLacJKjEjHE14ELwYVDKgPv4/pSiC/gd/EhePXBkUMCDg7kHvBo+CX2Gd8bY/MwzzyQ4exXhDC5mLnwyF88Tq4ZscInZpgAAIABJREFUsc0229iXv3S0Ioc6PJ3Gs88+77SG+aBs4jliixDo8UqmTrnWESqU0uJlkeOO19TQLJfsajFhyrNR1rjCo6R4iXSZqv/o+qLKO4qDszbl0SB/RmwRAj0dApSlxoLsXkliwAMhIucFAgEInVxMeAERW80RLMMh2SpCAEQCAoU7O67sVIhoVUicW0rk7UQFDO4jRwbjvPPOVHdvJ5fTokVL/H76627ZgOgxPtfzG4IQxBDrOsQmHMwdYpgQqA6F333Pqx3hPnv2Wedq3KK8DJu82hwu9rQQttfT30+cX4RAhECEwH8KAXAkuBG8SkgCQgLfKdKw0847Cg8mXqXwPgH3g2ubVcb997//vfLcHeXnwe00KhxxbVFhbzRXYInhrxZudgFFYUrg7QcffMir2TG2CzxYobsEF+7jGuYRLO3JNfJ8rauXgJHkLiOhLVWOqG6EIikYFcgFg/KMZwPnJ3Qoye/hkyLoTvMisezQoUPtC1/4wnKvKfoJc0FRFluEQIRAhEBvhQD4E7z77W9/Szh9qELYyu1b3/qWESZdppB48G/A/+BbcCV/g/tInA3fTR48cqbCR9MXBzgf3pvf+QTXco58rfDgKKgCvVgV2DF/cDWNeTEORmz6Zo7f+kaSI4p5nH3OOV7RjgThXBdbhAAQ6PFKplQq8bxoa5W7dYWSAmrGWNFaCi3W1gkTosoRKzxkOVNsP27m2ouuZKrQZq0SQyXWLK6CCIEeDYGgyGlpbltOZMiXhHcSiP7vf/+7W7thzKnwAeKH6NCCBxGfSQhbEjuOgiknYeb22++0vIQAKlV8epedpSSqSizPUsYiPKTVJ0orxqF/wuf4jiAUCBzjMEcaBBIhgSMkq+U8BIhzeFtxLYSLEqcQy3+JGF73u9+58EL/wVrDZyRUDtbYIgQiBPooBMCN4MOgoEHxDu7joNACJeLffPNNe16K+6SimNIDCD+/9tprtnDJYttnn32WhyYkiqokaSs4GpxL/wgJGCFQ/oCX+XxXIW559QNeBw+HOSBIMDbKIVc6yYEJ+tF/QH/h45ToQqNyAua8mlG78ueMHz/eE4gzDtfT6C8oqDgPvQkCCp9PP/20nu1of+ZTTjnFtt122+WhIPzOfLsr1froq4+PFSEQIdDHIQAPCy6rlmLmZ5dcKkeHdk9NcdNNt7iiCRzNNR4KLbwJ7gs8/4IFC5zPRrkUknPDf3N9UMAHXp9P+ggeqMgHHwX/zFzA5UGJBZ1gbObB0a+uRoUgfuh0hXDAP//lL8kbJR1NzCnZx1f3h3u8Hq9kItafzPamMJ92JStramm3fsP6WcVAxXtWyUpWoSTDKzjS9cobU6c+dNQOlCeGkmJ2KPFliiSCJGeKLUKgB0MAogOCh8iA3PlOFR+I01+E0E8//XQnYueee65bMPgOIQjCQk5JuiEAxFAnlmrl29C91177O7v08p9JuVOrSj/XeN8oeWjcT0LXEB/OvUEICpYNPgOBgwhB3CBytKAsQsAoaT4FPcMAeVMtkjWGahwkht16/JZ25BGHWYWI7+VXXe0EqqY6KZPN3GkfBZH0jmKLEIgQiBDogRAArwYGHqYdvJ6RtZsQ/+22m2Drr7++M/kIJeBcPITAq9ddd50UTPt5qJrnfhVdCHmRku8kYtbhiVZTntMDhdDHPraDVyS6/PIr3SgAfQHfBoUUY9EYi364F5tFs7y/g7ECunPeeRf42D/84elKOt7f+6Dx6XgfrynZMOlnjz32sK222sq23nqCrPKb2THHHONKspNPPtmrpEI38IKFTnE9lvJAW3rgK4tTihCIEIgQ+FAQAJ9x4KW6uRJlU1kzrSIf8N5TZ8x0XBfwLNdBD8B9wcjKJ+ehDd1pRRi8+3Xg3mSsJEXFR8E/g8fh7Wngf8bjkyPM89O77CKjwREecXHF1T+3119/fXnkxYcCUryoT0MgKf3Ugx+xkG9WBSyYK1UN0iLOVmftgCP3EiOjSUtH1JlZiTdSSUwPl8AD6bMzq7K6ZPAvyVqYkqCsZOKxRQj0VAiA4IPwgRvfLrvsKguB1rAsIlXy7Bs/Ybx985vf9PhoiApEa+mSRe41BNEJHkfk7QiChFsiFB++vQSOc88+y4YqdA3ihDCBkIG7K4x/sZDk8oC4IYwglNAf3/md8TqkrCWkg0b/KKQ4z7y5LpdL8ivxG+fIyxT6oDTrAw89bjNmTrWzVXnj2muvdSLGeFxf37/OK2PEFiEQIRAh0BchEPAzeI8jNHAoRoH999/fiyXce++9dsYZpzneJXTiwYcfsj/96S/y0m5PcLeEgaQPwhuUs0mV5aAbNPDpNddcY8OGDbNGWbjxYuXeEhWGRCM48KDKqfJXScYF5sTY0Al++/RnPyP2CYYrwfHgZs6deeaZCqdez5oU6kwlMOYMHcEoGJRNReHvX/7ylzZq5HDH6fSJ5+0bb06RceO39uMf/9iOPvIo+96JJygfoAwprSpdL54ttgiBCIEIgd4OAU/WLaVS4oGUklH4VPvHo/+0uXPn2hmn/9D++LtrHFeiYEehUyVjMpU4SWWBsj7QBDxRE+ODFFDKx8c9tO7XBMUPODjQk1CN8T+FI/IAtIDxCirAxXgYBBiD753yZm2QAeKEE06whx75p+ebOvOcc23STTc63YktQqDHezLlKsj7ogz3mmlnmax+UgqlspKGM7K4Zcl832Wx+4DPQlqJynLN1oaGSd7c0sG60oryv8WOHv/4cYWu5RCASHUnJFiR77rrLvvHP/7pyf1QzGy99dZdSiKFUoiRx8LMfQgLEAmSef/qV7+ye+65x2677Ta3KLvSqLrKxo4d64opCAKEMFgqhg0d7iXWqfJGCwor+uR67ofQIFi4Qkr3I/ww/ujRo/1v+uJ3iB+f9B+SkeN1VSEvq7POOsuVT0888YQnDyzDLK+GkgyBI7YIgQiBCIG+CgFwKAf4NCh1EtyJd1LJDjroIMejhC/fcccdTgv4XHfd9W3ChAn+NziZEtUBzyZKo+Q837mfAg5UcyOJLPduttlmxDn7vQg3fOKBCi4O4W7gdbyjyP1EpSOODTbYwPE/gsbo0SM9DJtWVVWx3AjB3+D7IGSQ+JZcIeNUyY7vJKg94ogjnB7hqfWb3/xGZbd/4jQr0KJAW/rqe4/PFSEQIdD3IQDPSx7hxCBbdF4ZxbpKnttzLzxvt9xyy3IDLtdwwLODt0eOHOm4mDyp4GVwffBocuVVl3dTogBK8uehjIIODB8+3Pta1ca4wTjNd/h38DpHwPH9amucX8fowLnnnntORX1+uzx8elXnEO/v3RDo8Z5MnSVVxepE2JQHRVaeEY1pm/T7B9yuVu6KpcTC9kGvoaxDHhUKjyvPqWJJR7sddPRu1lJqspqMFExpNuGK7/+gfuP5CIGPAgJh/cLkg6C7K5T425U7naoM1KH8GkraOmrUCKvrV+MWhE55NMk1zzISMDrlnZf1MIsOZ/yT0DgpYyXANEh42GzzTay6UrmUFCJ63o/OsQMOPlSlTh+0G26+wQ4+cH8XJjqwfmexWJRs0403sLffmWLTp07zHVJVUa08UEvVh9x7NRZjqt6E/4aANG/efCduzB+vKk1DCfd1jeacQpjRs3AEwpjArsx2+dR2tu9ee9qk2263iy+6TOVeL5YyOXHNretXxbaPLUIgQiBCoE9CIAgWwTLNQyaKI/9mAwdU2Z57fM7x482TbrODDzncrv/zX+wrXtVHynt5knZQNU6Kn0wGL9OiCyQdeKTKIg5+9tQAwr0lpQrIZip1X1F9yiNWxU/EQukz8VIFrxdlrWYuogbLUwpsuN668n6Sd6sKRvz0wvM1h8Ps/gcetBtvutUOPWii5XS+paXVw6Bz7qmKp3jesmlRCHLGgsNFA8D9+XyrCygoqbjmwIMOth+/8Zb99Y477dTTzhCtIN8Hle0U9i2DQzHi/z657uNDRQj0JQg43w6v3dTsaSv4G7yLzRRjbVpRM+BgFP477/gJ22+fPb066EWX/dx++tOfJp6i8ix1hFwmWVV4cnPx4G/J43PqjOliplOWp+BCCvwuPl7hdxICdDmhdfJcSmXlHbVA1yQhbZtturErt2RC0HXKQ5xVQnGFLyMbJHKGfpHzRlppaIpSZBGlQO48vK7a8i0+/xBOzWcSRl2m1DSMrRx+ohGkvshKXmhpE+7X+V12+qTtuftudq9owyU/u9wuG3O5P5fTHtEo+kyXp30caBTnY+v7EOjxrjwlcSksxrQ2TEZhPNNfXWJLVO1q/nsLbfaM2Tb9nZkrPGbPnGVzZs6xae9OtYXzFtqiqQWrq6m1rCrWraorYd9fHvEJVzcEsFQE4hNcY/kbZREHLSVUjdKouwWB+xJmPLkOa0O4B4Qf3GU5RwhbU2OLkr+2OKO/ySYb2Ve/8mURIZNS51KbPm2m99XW2u5HLldpn/3sZ1159OaUt2zJ0gZPNF5b28/aiwVrlxKKORYlAeREvFBKvfLKKwptK0gZVeEV6bBsF4p5n3Pwggrzx0qNJYbzaXkUkpuD5OMQsvPOO8+VVQmBi+62q3v9xf4jBCIEejIEyuzQQw91fEjVTizE4GJye5RU0ARcD/OOBZtP6ITnQ9J3cHSbGPqsjAt8LyccTr8hVHBf/YBBiUVavNW9994vgUhiiIdKKyeSrgcPBzpCv1ixyef01S9/xdqkVLryyitlXJjn9ID+kJEKogmMVdlV/TSNcJRv099YwZs0PhX0spov9KTaBg0Y6DQJOoXXbOLJlCS/hf7EFiEQIRAh0FMhAN4KnkTgPRRMnIO/hc+lSENIM+FeTcKxNDz44cvxUL3wwgsdpy/H3WVJDtaPf/zjjhsnT57sipmaGqWPkJEYPJxJ5yzfVnCeOczh2WeftZbWJvcqItdd4L3Bo8wLXL5g7nxXSmWkqEpLBkapRSEIZAPmSf/IA+Bz8sCiDKIf6EbwcA0587gGGhGSkvNc5IbFaxX6c45ScbiyTUd47uClxbnY1g4I9HglExsDBRPythS39syT2khNeWtXtbn2VmlUU9osKzgo5ZvWpirktfGb8/avx59SGI5yvkgr3FUtfe140/EpeyQEIEy0gIz5zjn+Zu13Ut5HDYUOChmUQZxzBVNXOjKIGZbhIBCAyFE6uSIoL28jueZCeNzCLcsGv51wwrdt3fXGWuOSJiVvPVsMfoMY/Jrl4Qq77babjR4x3IWXBx54QCWw65KyqyJI7roLoVLujaKsNbge3XTTTT7+F75wsMpSD3ZCWNFlAQnCD79DkCBW4ZklzXg43+mnnOrniFXvr8TmuAhXKW9UbBECEQIRAmstBIQfSdg9ZuQox6/nn3++7bPnXs60V2STUAYEEXAsdCAo9IEXf4OrEQRkFnB6Ib2UCxkok9rkyZSRQeHJfz0tL6lb1EdSOrtROB9+q0Lh1NAQ7i/q2n79+nsuwO985zuqKLeRwqPn2wnf+74LOQhTQUiimi90o6q2LpmXvMbb2kjqLfxfpyISyiPFPOl31uyZUlJJmaV5DVeJ7yVLlng/jCuyFVuEQIRAhECPhUDAr2GC4D3468Dngufgd/nkfKE9SQEBP45BNZdJ2yx5KnG9e28KZ4NjCV0mH9/AgQMdF955m6p5ipdHBsAIkOsyHMA7cy2RCITeMc7++8u7VHg/8RyVckrFfcZvveVyenD33fcoN1+r5oUCKIlcwIDcIpmYIj2k1Nhxx530SGXOx4PfUShxgJtRoIXzyADJ+OU+HgqmU076vntMdU+1EZRh3M8zgvuD7NNjX26c2EcCgV6gZEoEcIRRU7LuOTPnyq9DHhBilKoq2ZiJJ8cHffKALOqqXJVlUxmbNmWqV5WDKauRi3lsEQJrEgIQBdaiM9VdCieEiaB04hyWBqwR5VrzCXOO9SJJ0s3vEC+QNtdwH3sBawPXQrxg3PkdIsA1NTVVUhJ12sUX/sSJ0XPPvmC3TLrVmkVkEDxki3ZBgISznXLdvfyqK+3d6dN8TPokKSFCRZs+EVzI1fH0k0/Jg2lDO/744z2cLqfQCawqECbGhShBaLCKMAfO8Z29mc2lba+9Pm+f2mVnz73WLkKM5ZvniC1CIEIgQmBthYDTBqmIjj1WnqdS0tTI++eAAybqOx5CiadRQiMUWiZ8Cp4Fp3JfEuIgOqEQuurqWq9qhKUajyOUTAreUB8Fe/WNN62utt7zVOYQYDBGSMFTwlO1StZtCUkIB929pa782WWiRymvEveLa37lVvA8oXq634URhVVjKHAFlLxjGR9DSVOjhKzOpEpeW1tRCWJvtn7yLD9QIduMUyd6xXNA0+gztgiBCIEIgZ4KAfAteMpxpnAd38G/gZfvzsOCQ+F7CSsG11Hxk4I8tKIidsDZLVLOgD/pj0b6CELO8BolqTaeouDsxYuXqjJztRuH4fHJ1frUU08qx916dtxxX9W5muXyQJADDpg40cclPG/ZMnlOycDAPJkT+DabqbDr//Ane+Thf9rhhx/uv/E83B+UZ3yHruAZRV88Hx5ZfM+7ISFthxxyiH3qkzsqZFtpPnQefO7PrefCYyt4P0X+vqeu6o92Xj1eyUQsJ40KVvwjD5N7JrUnC1x8l/7+4IOF3K4Ewp2yrqXLCJFLKa9MtXtHsfhjixBYkxCAsNCCkin87eu2SxkDUgdB84l7LUQFZA7ChwjwG8ic84G40SfXk7upqiKxatAnVmz65fymituGmBA3DuGZM2eOCyH0DZHbavwWnlgci8SBBx7oCWCnTZvmAgcNAeOsc85W1aMzPCHstb/5rXKI1Pu4Lph0EV7mjKcV8wwEh7kwBsSN7E7M+4xTT7Ghgwb6vYSydn8WHzC2CIEIgQiBtQgC4PhsOmOf/vSnLaeqQuuOHWPbbrutvFMT4xm/e/iEmHjwNriTT3AwtIS/UUw9//zzjrsJb5s/f77NmDHDpk6dai+/9Ipy893v+Bnm363tuhe6UpDg09i4LPmuc2GMttZm23DDDe1rCrnmHhJ3E6oRaBgCCTQiqXCalcfTIpullAVL5TW7aOEye/21KfbXSXfYxP0OlOA0U32t78aJrJ6BsbkXIwn9xBYhECEQIdBTIQDPDT+N5w68rRsFxMs6763PtCIOUAyBp1GwgFedr5fQynHOOWfZoEED/FpyHdEfOBj+GHz78e0/5vgV76E999zbbr55kuNvfqM/cPjZZ59rp5xyivPz1133WxsyZIiuT6rVEU0A/871JObeVvlSUf5DT7773RPtt9f+zv5yw012+c+utD322MMuueQSO/F7J9gnPr69K8N4jiAP8AlORqnEeeYYntUjjvR7w7IlPtcLLrjA8T/ngxILWsE5GjQryBE99d3GeX00EOjxib+7ooWQwn1BszBdCGVTapEru9oKIUHJdDY/QUkeXqTQHu4vcU59lMldMbYIgTUFAdZgaBAoD5HTOdYsxOgLSrL68ssv6xIpWLVW99lnn//X3pkHSXrW9/3Xd/cce0i7OlZCWq0uJCRFHAsyEkaAhCMQkBC74mDiW9hUmcSpVNkk/6RiVzlVrlD+I5iCJFUQ4pgk5SSuFHEKgrCNTSEhQEjaa/bQrrT3rHZ3dmb67n473+/v7We2tZqZHnant6/vs2pNn+/xeZ/39zzP78RAlbOnYNn+5V/8paXYbw5eHHzoPsvBh9V7OJjUkJSPXkXMsXTfW+5xF9wnnngCCp84x8bv/s4/t6e/9Q179dhRVySx+s9n/8Xv2M63vwM5lhr28EPvsh/AQsLKbwyb++pXv4KFwmt+7+3YscO233abfeWrX7bHPvB+DBzl2AsJx1KqFG3frn0o0/qv4rwdOJedO3fanXfssC984Qu+qAlWEp7/1PSE3dC6wT71qU8huSyqb6B1slmCpCciIAIiMCYEKGc5X7l2y2aX/awKV6vHodBEwDGCIQqc/HMSz/CK733vWTca7N+/H4Y1eDRVqnGicHivumGtPQfi9IneTUxQ+1Pv3AnPJINsP2v/+vd/z0PoOHdKwjDHxcftkPWf+MTP2+MfeMznYEls95/+9mfsm09/G7kxX7GnnnrK7nnzXX6M//lP/tReeeUVX0jkkjl4Xn0cRxovvDjGUfZfg1xMrHj3W5/5DXvyySf9HFmiu1ikV27Zz0lGwDHp5DpNERhSAowSYDVnKlLojcSKz6yU+cKPX4KMTLmn0s0332yf+9znfO5LmUglUqjQfNPNN9pv/OZTiCr4Q/89ZR9bBgmymfcuhZDod7/7Ifvbv/0OvJX+mxsE/viP/12cwBsertdu3uJGhy996UtQQn3IIxQ4JgRvIea+Yy6n2Ghdtv+EuToTjv/F//2GPfPcs/b0099y5RDz470T8/N/+7k/9GrVVExRMcYHt0eD8mc/+y+9gjQVasz5tH37dvujP/oc0mNc7wZkrl04NlBu37TtBvtnv/1P7Pd+/9+4Qmrjpmt8rRLL+YyfI9/nb9RGmwDmF669aWtgkTASznnPfvsFe/abz1uuhvwpqT4nX8RkhhOTqNH2XMINEXtkwK8JnzXp+71q47nFpXrD5Iqu5txmGpbBBrY72I1KiFg7noHQqkNThkP3fAVbb9hqP/XE/YN9+FCOtKAI5DF7lRloDSlXdh14yf7nX/yP9pvmnjCf/vSnl5Qsfs0xC+bfUW68/TrPMTynoOYjCy8kJuijMD4/f8HzFTGhdhWWiklYexmiQMHOgYCTd8ZH09Lg3krYdhqVfyjc6TXEvBpsFO7uBYXkf1W4tDLOO4X7itun4ieB5Gf8rluzWcUO2+Ggx+vB3/l1wUKFf6kEZkW6+bkLniOEx8Lf8Li5nzzCVDlg8X0ftHDtOUjxeNz6gT5dRmJYDj6MM+d36MXE13F1jItKuFHuByudm987YD2zd7998YtfwKqQt0zCtm292X7lF37d822picCgEvDuif7Ke7mZqNmX/+uX7fjpo+6Jw379q7/+K644Ccr1S+XhoJ7X1TquGhREGzdvcrnOSp2UyYvzC24RXkDIAw0PlMNc5FDGMkEsWQYLNOVo7BU0v+TpxM+ZUy8OX1j0BUYZi58ELgpDqefnF1EpiUUZUKABoRkbJhF6AQUWc4bQq8rHk0I85mRzKCoBBRerylGm8zhpjWdINccj/o7HwHxMwWjAY2PoHMcGqJ7i8QXHz8/D8dJQwrFg3Bch/+EL/972HtznuRThE2Afefyj9sA9D+JacRyOPSeuVl/UfsaYQHve3sR85Jkffs++9Z1vwu6JuSvk+Nvf/nb75Cc/6XDCvD3I81En5nNsyEkqjqgkzyFMmPKQc3bmTaXSiHKM8plyk4mFKaf5ujOFBb/DFua99EC6gHlzOs8JH9a6qE7HzwJfhlDH8+c4BQZnyZNTBZe/bBuRD69YXPAE38zxxN9xDs/1AI+1gXUkq+Gx+By3G6IMam0FP4+Vv+FnfHDcaWEwD+sKft89snDO4b2wHb7m97kf0MH5J7xiHUPsFrHGoHGDYwPZjYMh4bvf/S5yHv53v46c89x757328Q9/HMYdrHWGfPo+e2TWnvn2XoxMkTWgj7nlgevtyU++x687K9R63/UeOcCNEyi2MOlhR478Bkmi0hVLuOMUVnmwLDuVSezQvCl5c1MocBu0CKqJQD8JBKUS+6crbdr9nQORK3kwIad1ggOST9ohwPmgxxIHME7s+Tq4svIvrSVs3CY9mVzxw+1gkcL9UQnlCiZskwq/KMI2cS/Q44kDAr8fGpVAvkDEfcfGAYsKXw4uPsmFwpaDCY8nhO3xHmM1uwTyfnCxcA1C6MLxcFDhefE4uc0w0Ia4bh5nUC52Kt+WDkhPREAERGBMCIQKRJSXlK+0nFN+BpnPOU0YAzplJ7/LRq/XublzUEpNuWzng/I5idVhkcm5YahgslfKfoZv8D1+ZxIKf26P+wplr1NY6FA2c3+U3fE8CnlI4BXL/TEnxzSUVK7g4sIC40KzWcWYg7EDpbdrdYwJSSxoClRIYVGF92hQyKHqHccFbpPn44s0nC8faiIgAiIwqAQ4R+U8O8yZKSv5nLKLzynPKNfCnDwYgPkZF+GxcioOSwvGAr5HpT/lLOff9HBqRrFhOMyJ+Rmt9kEBRENvMDBT5rOSJ4+BspjfbbFqFhSEiwh/psKfBgU6W1C5RdnNdTLXGXEO17O+7QiVQDlWcJ/cDsccPuf2+Jrn7euK9pqC50057uMR1iYcAwIXnncIkaOyiecf1hSDem11XOtDYOBHcc/X0uGtFFu2cOOibG4Kibxj95iVYdD6U0fYj2vWqbZF43qZroxIY7zyD/WJCFxFAhTUYQAJFl3unpZjehVBSYzsgBDo7feYdDuVjnMcufcPBH6whoTX8TaRhBD3DxVFHjOK/QTrARW3odEileF3oEDCdN8Hh85BIBxb+A09oPw5tk0LyZJFwr0LsZDAooXHSws3B0x6MPm92h6Uw4KCau5g0fBj7GghH9vr3tQLERABERgTAu4V2lb6U8E/CUt5kMs0GrDxNRcDXKTEHkOx9Rmi1hcBVCRxvKBHNHPyBUOGGwqgBIq3wf/jcxgG2Ph9LnBakPNUPnHwiP/5xxDj7bEDi5ewCGHicFaWC2MF5T09ptiYqiCTLvhfPsLvOYbwHDvHvjCOheOM96j/i4AIiMDgEbgop+iZT2cl+h1CcZ+l3MTcG39StOai0agalOecjtOBiXPnIPNC9AI/o7zlkjUDryg2FtRh4/aYygIJNCBIqeiJZbgr69vRCpTzWBJg3h/P91k8iMtoVoNren5iyPk69wKnjbYBmWuLWClFryW8gIzvPLb4FOh9FEc3xa9jVxwqxtiCUo1y38+BRgb85aFzfs/t0kuKYxrn/WqjT+D1q7rRP1+doQiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIQA8ISMnUA6japAiIgAiIgAiIgAiIgAiIgAiIgAiIgAicTwaeAAAgAElEQVSMGwEpmcbtiut8RUAEREAEREAEREAEREAEREAEREAERKAHBKRk6gFUbVIEREAEREAEREAEREAEREAEREAEREAExo2AlEzjdsV1viIgAiIgAiIgAiIgAiIgAiIgAiIgAiLQAwJSMvUAqjYpAiIgAiIgAiIgAiIgAiIgAiIgAiIgAuNGQEqmcbviOl8REAEREAEREAEREAEREAEREAEREAER6AEBKZl6AFWbFAEREAEREAEREAEREAEREAEREAEREIFxIyAl07hdcZ2vCIiACIiACIiACIiACIiACIiACIiACPSAgJRMPYCqTYqACIiACIiACIiACIiACIiACIiACIjAuBGQkmncrrjOVwREQAREQAREQAREQAREQAREQAREQAR6QEBKph5A1SZFQAREQAREQAREQAREQAREQAREQAREYNwISMk0bldc5ysCIiACIiACIiACIiACIiACIiACIiACPSAgJVMPoGqTIiACIiACIiACIiACIiACIiACIiACIjBuBKRkGrcrrvMVAREQAREQAREQAREQAREQAREQAREQgR4QkJKpB1C1SREQAREQAREQAREQAREQAREQAREQAREYNwJSMo3bFdf5ioAIiIAIiIAIiIAIiIAIiIAIiIAIiEAPCEjJ1AOo2qQIiIAIiIAIiIAIiIAIiIAIiIAIiIAIjBsBKZnG7YrrfEVABERABERABERABERABERABERABESgBwSkZOoBVG1SBERABERABERABERABERABERABERABMaNgJRM43bFdb4iIAIiIAIiIAIiIAIiIAIiIAIiIAIi0AMCUjL1AKo2KQIiIAIiIAIiIAIiIAIiIAIiIAIiIALjRkBKpnG74jpfERABERABERABERABERABERABERABEegBgXQPtqlNisBPRCCVSlkURZZIJKzZbFo6nV7622g0fqJt6cs/GQEyX621Wq3VPtZnvSaAy5NMJv1+4H1Sa9YslUj7vcJrk8A/NREYdgLsy0HWsL+H15I/vb2ykv+95bseW+f9EEVNnyPxeZD9fM0xQU0E+kWA8pl9kH2SfbNer/vfMJ+X/O7tlZH87i3fK90617K8Fzpld9imy3H8G/UmJdOoX+EBPz8OSmy8GXnTdU6ayuWyZbPZAT+D0T68boPYaJ99/8+Og1AYpMKELmpEvgj3AQzP1URgWAmERUiQ+zQqhDEhLF6G9dxG4bgl//t7FSn7aWCIWjDCtWLla7yAT7n81yK+v9dn3PdO+UB5Xa1WLZfLLSmc2GfZNyU/+ttDxL+//IPTBNexzWbLmo2mcY7jSqcxsQ8rXK6/fXDs9z45Oek3HG+8MCiFG3NiYmLs+QjAeBPgfZHJZHwCF6whXFzQWlir1cYbjs5+JAiEhXSQ/5wY88E+riYC40wg3Av8G5SuvE94z6iJQL8JcC7CR+ibnLuH6APOW9REYJwJ8F7gPcEHG+8TKpw4txmXKB15Mo3zHTAA5x6US2EBHSwgtI7wPQ1Uvb1I3SyhsoT0ln+3rYfQId4ntBZmkpi4RfEinPdGC9YRNREYVgJBYUo5RNnP/u79ur2Qlvzp7ZWV/O8t3yvdOvt/uEa8N/jge1HE8NIr3bp+LwJXRoDRBpTbXDzzEfpqMBxLfl8Z326/lvzuRqi/n9NRInicMuSZZjNeM8rxVCZlTXiojnqTkmnUr/CAnx+VSdTshgGKA9bU1JRrefmQxa63F7DbJED8e8u/29Y5QPGe4HXifWGQ2JVS1RVOvD9SCeXk6MZQnw8uAfZh9m0+gsUvXkTH3q0hjG5wz2C4j0zyf7CvHxckroD1BcrFEKRUisqmi3nMBvssdHSjSiCfz/v8nX2UntWU4TQSBBneTb6MKperdV7d+Gr+frWuxPL7KRaLVqlUfB2bTiP1CwzEvEc470knxsNTW0qm5fuG3r1KBMIiIghDLqppHQnKJ4VMXKULscJuug1iK/xMb68TgXq9ZplU1gcpPiqliuUyeePkTk0Ehp0A5TwXKJT7YWHCc6LcD4uXYT/HYT5+yf/+Xj3Oj9wS3ozlf/D0TiKhB/SyS54j/T1K7X1cCYS5OuUEHxf7Jzw12gV9xpXNIJy35Hd/rwINw5yrh3WuezC1E+VT0ZRMj76RWEqm/vbBsd97rOFN+4KCGt8NGzZYqVTyiRUtIso7M/ZdZKwBeOJ7WD94n/B+mC/Nu5JJTQRGgQDdyYMVPEyIg+ceJ2N8riYC40qAi/ighI0aFzPFxh5Oox9qMa7XfVjOe3p62hfNlNPMGxkMBZy387mMxMNyJXWcvSAwPz/vc3feI7Ua8g4349zDXN8aPJkULtcL6tqmCHQQ4EDECdOhQ4fs85//vA9MHKC4+AjKJgETgXElgNpCCJPAJK4eeYgcE+XzfqFC1itW1LUIH9e+MQrn/bWvfc22bt1qi4uLS3k9uGAJxgf2dTURGFcCxblFnwflJ7iAf301Od4b8lQY154xGOfNufpzzz1n58+ft4WFBe+PnSH+g3GUOgoR6B8BemtzfrNhwyarV2MlkxvPmE91DErMuSdT0D7TBddgHAmuXRrA+tcxR2XPzWQdNxP6FMrvplJIWpxpWb1Zt0arbikkMW4g8VkD+QYMj6PHj43KaQ/ReSA2GLHCdSgraHWiQMykOJmNX7daKWPan2CVomWVHjUeU0w3fi0Ce3qtcRksm89YpV4y1KmwbCKHtEwJXIO0VRtlPIenk5oIDCiBVCtjSciPSq1kuSnk7kAJX6SH5YBgtUbFLixEeMwP6NGP/mGlMQbXalBY53N+svPFeSsUChizY+uripj1tw/UGyWbmkaVXXiz1itNH3OTaVjAYXTIpvOYO1X7e4Da+0gTaGF+nmjREMxwTcw7suh/mH9wnpifyMCDKTYC7D94YKQ5DOrJtZLI1xlhgMX6KgejY7F4wVJpVKJkgRgOvGico9NoE4oGcO4evCM1f+/tlXWniSacJqanrFwr497x1N+W5hpqBLy0ufxjH/J/HfZAnlo6RU/bJNPIxi1WKF38ov9QC8je9sAx2DpqTlgyk7So1nRPjBSeZ7KZWMGEgUp5i/vbCaIIpTSZVBQXgpOJFKylnMjW6xcHplql5q7QzA9kqGqTxuDF69bC84sO/P09j1HdOzIdWAP3TiqRsXwuj8mCWa3M6wB9LSYSVEKpicCgEqDMz+WgaIICu4l+nITsaCLsJ5VJWC5dWFqkDOrxj/px0bKayeasXKxYYTJvGyY3uEGhVC25B6Xke397QCE7CfsbEn9jPIapx+U/F4ycmtOLJKmEF/29QCO+d1dMuJIpXg+yz/F5Ns0KoJidaI3Y1x4Q1SAQMBlPYVwtoyDMxMQUxlTmOYznjWkopCnDUwjN4nw9grKQzxNwKEkyXIsGfrWeEQBljKJYLAFzAkraNBwteMtwTs97C5K8Z/u+GhvmXMH1ROhknU5JeHupvUHJxE+kXLoal2c89kGLRy6T9QRnGWomkq2lqnHZTM6ihixx/ewJSSgqeI0g71wbncvmrV7DNYHgSGGASkLplGg13JKagU46yTj7JhI84rU7JGgZ0tPLl0H+pWq14p61nA5QqZRJZm0iO+Wut2lM9tREYFAJUMGUhlGBRoZyuWj5TAFVVWDFa4d5pjtnI4N6EqN8XJArGUr2iZQtLM67gSGBcXoiO4FxGguSIZ8ED/ula8JDIWLFLmiT8pMTPpHnnJ6h0rHnseZPw36NB/n4PZ8M5AG91/m8CBnuSibIcXpXw3wwyIc/8seWxzywCq9Gpk1gJFKzjorcmCRWK3Wbnt4Mw04sH1yhgevHMC1WpuTrBuaPKU781XpGgGNpROUe7MItrJtyWPOilIM7XExNbIBsxwdD3IJiiX+XlEyQD2E9SV1T2pVQHVonKZiG+IoP4KFzcGrC9Z79ih4wTVrhUHr31jdttyefeBJKDZni+nnZ3K223TwJXSKyb//1XyLG/owrAx977HHbvHkzBqSmV0mI8F6jPVhxohtRAaXWMwLJKI2QUkwGkDiwlcS9A9xJLDwKuQkMUlMIQ9Iio2fwteErJkAFdrMtI6amNtgjjzxqbyu9A55MbbmPsGm1/hHIIPx2sbxo5WbZ/uo7fwmZX7NrN2+xx973uNV8EdK/Y9OeMRzDoOBViOgJiMXkzTducywMceQCRmtE9ZJeEuC8vR5dnONxDnjfPffZtVu3xNFYWECr9Y8Aw8/TMAw3eB0SDfvm099ADrdFK+Sn7Wce+7uWh5cqFUuUH0HRFBQClCshNU7/zmDE9+xpYjB3h44lVtgifCwBI3EeBU9w7UbNRt/p2UTZQd3SG1b4oQMufXnE+4BOr7cE6KzJvEve4ThjhXWU5Xiv2XgNHpswgdIg1dsrsPrWK5Wyh8L5RBahjBXEDZcXi+7dRIVTuVS3h3beZ8X5RQjGSR+wKBu4cIwViHK3XZ3wFX7K+Ai0JOLsY/YMa8RthAGqWCxeXKxf4W70cxHoBYFMLu391uU/Zlo33bDNn3PixcULPTTU+keAoRPMjfXcC8/64oThMAyZ3nLtdS7vaXVV6x+BBrwSaPvxsRZjsudBxPwJN9DSorF/R6c9jzqBDKIQKL9pgAxzP4Zkbb/pVswXkVoBXqlq/SNAT5h0CoroRNPmFs4aq5kViwtWyCKvHtpdO94Sz+Xx3PO5tT2awhHLqaS3147rK8pu5reI+aeN6Ud4HaqMIMG8fpgbFWexrog52+Jz9LkeTip4Nr1hBkHNEyeAS65Pw0xAx953AvRi6kwkz35F90HeaI0GkkyrHHtfrxG9YSgEF4qLvvg7duyYnbswh2uG0LlC1vbt22fvfuhhy6SRkwmW7SaUgnm8z9A6uuTK3ba3l88X4xiMmHST91ImE3sD8pq5Alcx9b29ANr6FREI8wj+pSKbOd0YcktFaRpWPuUUuyK8V/zjarPquZj27t3rsiWLMDlWMzvy8mF4LDzgCg61/hHg+ErP75aHuSDdAO4fjtNcpKiJQK8JeN4v9DX2vc51YQvFYah4kvzu9RVYffsFJP8v4RrBX9hmZmbw5cgLBTDv4Z49e+z+O9+GQj6xNyTzAKXdWBkrBDiHZJ4mtd4R2ISKclS+sBo08+p5onaugbF+GnYFE6lxbeJKJh+XYmNIoMl8smxLSqbg2sT3g2td79Bry+NCIAxMHjbBlPNoFG5efr3JOO9xITGY51lxZV+sjU4gnHHfzB4MRHCtTbP6UxXWkXN2+vRxWK5ug5IJgxTkQwKTXhaixPTXkweq9Y5ABCUS7yGGmqIkhT8vlksu3CmzaR1RE4FBJRC8mIKhIXgxUUGaYDJSyY++XroEXPdPnTplx08dt2aiGssTCPeXdu9yJZOUGX29PD7W8l8ImUu0lUtcuLDJGNzf6zPqe+c8na1z/h6UTgkUjfHoBLW+EaBHO5OwU1e0BwbhOjybeEXqSAj+yrFXbWFhwdNdcPxlHqAgz4P8kHzv7aVjtIErYTrm6rwW5N+AJ3d6yD252adC43kynJZ9qlN1uWzeTX5Jg1dvO9+4bD1Mjni+rjnHzeYVKujyTXGIPDNq/SMQK/vimO0q8jzshkWbSdqT6SYGqoZVGkU7dOSA3Xj99VgWQtkBpUa1XsbiEK6RWQhLhtWp9ZAAEq23XZxruB6hUhevm3uGqInAABMIfZeH6BNaejJBknAccKMDLHtq/SPAwg8zKD/OkOkS8rvxmhQKk/bKK68gUXsZud/y/Ts47ZmOCUue4GFe7pN43D98qIlALwlwrh4XA0DhF3pPe99jzSx4Y2AOGEWa//WSf9dtQz7wmiyiaMPxE8csQmGlQr6AfHqxIfL48Vch29PtlBg0ImAWD8UgDcssJROUTV33oy9cFoHgZBFktYeceuJ13EPw5B725mlVOpqHBjIcDo3GET5L023dEvwiYr256MfzTZs3YIGJTOgJZj6Pf9CxHT0VgTUT8IUFGv8GT6bXe18M/422ZhgD+EVWimM50zIURzOHdqOiXARrSBODECRCCnHdcKDZvW+vPfzQe9zzoIbBKQMX3QYmFxHcP/meWm8J+IICu6BSjy7qvJekYOotc219fQhwEhsWxZT/TPjtBQbQZAVfH8arbYXJoVnS2sdcKPhC3oS6VyPCUjHbsj0zL8FwwMUkwqAha1gFMIcQiwNHdtnfuWunf4/u/ZQ5nETSAEmFdzyOy0i0Gv8r/owRcmDPxcqliiUZgq+YrjbQhUDod6GvBaWEmwbo1a7qcl0I9vbjFgoD1KKy7dr7Izi6U1KkrYI8qjQacC3/w93ft7vvu8urucb5teILl0VC8DpkfpIe8mo9JRAUTPzr62FM5lsoFw1VU0/3ux4bT6aQjw2hlwnkaeR4X6kUPeF/IT9li8Wy1RZQgALKyqblEApYtQ2bYs9HZI31SCX4K1w8y+UGrOXeW48D1zZEQAQGgwAXfhya6Blz4MABd6kN9z0/42MeLrcMqWg242oU1F7HGvrBF5KDQVlHIQIiIAL9IBArgVxBgUVhqHLDI+GE99SpE15AgAokfoeLSMp2vmY+PioCg2Kb40JQGLqCqm2x7MdZaZ8iIAIiMPYE4LlEmX3kyBGfqwclYGwIqCHVxWk7d+4cMMXGHr4f5vVKtTD2vacrAHot0mGW470bCdu52arVCirDZ5G/sYY+FxtBUBrApjdswDbjdSG+6k2rxK6Y9QURGF0CdHnmwFNGVbmXX3657coZu+O71h2tAtfb/Ydm4EkDV0gMaqFpkTG6/UJnJgIiMPwEqDiinA5eMHzOYgFwcPKQ55kD+61YKfl3ksgPwe+5AQGPw1i4LCzM4z0qqi7K/VgRRQ93eTENfw/RGYiACAwrAeZsOz9/3o4ePdo2/MaRR2Huvri4iDC6oy7fYxkfz+1DVMmwnreO++oQaKHgEBVNTJUSvNLZt6pVRLlBuTR/oezFoDiX4Npw4+ZNmCrEc4UQA7eikkkLyKtzEbUXEegnAVqqE6mEHTx40EpQJoW8WZ1aax4fvZw4oLEioIdtwd1TOup+XjntWwREQAS6EGAOLEwKYyXTRU8k5uWoNWq2/8DeJe8lbin2ZorLXdOb6eDLB+Lce+1E05xoBrd//lUTAREQARHoDwEGKh04MGNVFOlJIZyJhgKKaspmeiolM0k7cOiANWAoaKIUYHif6/vg9dSfI9deh4FAgvnXGC7fMf4nkEsqhTQp8+fnrVam53PGQ/InpietMIVwOfYtVp5szw9WVDINAwAdowiIwJUSiK3RL770Y1cwhbAJT86L5OysExChCsKZM7N2+rXTHloXL0QwaMF9Uk0EREAERGBACcAwEHsyxd5MzNHE0qD8c/bsGTs5e9Kf0yspQqWiFHIvUK7T2ykFY8Kumd3ItRCH2rmyCiKf2+A2Q26tAT1zHZYIiIAIjDSBqFVHztRdnu4iJGHm/DyUlqec3n/oIDxSL7iigMoAGotDrq2RhqOTWxcC7ENcF7LPcG5Ax+aJ3JSdOjGL5ynvew2r2403bzGkCHOfZyqi6P/EJiXTulwGbUQEhpMAvZjmFubsxKmTLkTC4ESFE72V4gUKKkHh3979e9wywgWIl7YdgeoIw3nVdNQiIAIisDYCLO4SPNN9Aoi5Xx0y/NCRQ1AUNWCpjC3f3FpI7M1JJQ0Kx08dt7Pnzy0tTPidMCbEYXRrOwZ9SwREQAREYH0JnL9wzk6dOe3eppy7M+deHI0QL/BpQKCC6eTpU0tRClQ2xZ4pIaBpfY9JWxstAu5wgPVfwvMw8oFOFSXtzMmzloCntCVQJQpF4m69/ealoPow3yCJNyiZgvZptDDpbERABFYisH//fg+Di6vY0ELNhQfLbMZuklQ+0fWWiWB9IIOlhJ91CpKVtq33RUAEREAE+ktgSckE2Y00C6gSU7KZ/Xux8IhzLfDzEFbXKftr9SpC6vb5oiRsg5POkAy8v2elvYuACIjA+BLYN7MHJx8rjZj6ArYDVP+KK4C6MQC5crL5nO3dtxtqgji8mfP3MIcfX3I68zURoIUK/cv7EnpQ7AGXsPPnLtjc2cV2VAucDvJJu2X7Nvc7YGzMqkom7liLxzXh15dEYOgJMFZ7ZmavC48GcnTk83l3jQweTSE3ExcZJ2dPeSUiyoegbBp6ADoBERABERhRAiEvQqeSiadaq9XsxInjbvmu1SpLZ8/qopT1HA8YVpdMJ+zw4cP+XlA0hXBpw6JGTQREQAREoD8Edu3d7YYCzsfj6IM471JQJHEuz/dpIC6Xi21Dclz2i8YENRFYjUCqrZhkV2Ff4jyCa8Lzr11Af6piigC3JITTT0xmbcN1E+4Vzdxf3pZyMrnHHKpGIaYubvhWooov5PBXiR3bUPr2hxdVSr++4R/+HcNsTaHAPsRBhWFu5WLJ8tkCVM7QSJdQmWL2uFXgycRWrzctk8ouWbXT6SxkBYLlWjV4Mxniv1+weqOERQjqDWiQGv7+oTMQAREYXQL0bOfSAvn1mKyTk0bojexHL/zAWllYtDEfzGQw10OjEokeqxwrXKGE6V+EeeGRo4esVFt0b1c2fqdRa1ouyXmjmgiIgAiIQC8I0DuJWW6aUc2yGeTLqyNPKpN749/s2RMIZZ5te5WiMihkeRrz8qiJJOD4y6pgHuqED/L5jP3wR89i/s98eiE8WkqmXlyz0domPJ3R//hIpJkqpYH5Q9IOzRyyAnREnCdUo7I98MgD1kpjPoHsTFlP8shsvnE4pnrZaPUInY0IvI4Ak/yFinG0UtPiUZicQLhExZVPhw8fipO6YeXBxUWwUsehE0gAC+01BzU2ChRWmaO6ms85eKmJgAiIgAgMJgHK85C0k/K9BkURx4Djx4/7+90af1OpVb36KBsXL/x9Lpdzbyg1ERABERCB3hAIHkmcb3O+nsllXe7SWLx779417ZS/LUOGH4PnKhvHAM7v1yL/17QDfWlkCdSZ6BtzCFajZUMSFTt75rzNnV9AfzSEycHQBE+mHTt2+OdUM7G/4b+lZExSMg149wju7gN+mDq8ASXgGmiaLigA2u6LXCAw7xKTBe7evdst1CHHUlAyBYVTsGpTUcV2/PhRm5ubcwHCUAs1ERABERCBwSTAanGU6WlYIYNMPzt31o6eOOoyv1vjb/jYvRdFH2CIoMxnhSKGaGhu0o2ePhcBERCByydAb1LKaXqPcvHuFb4wd2chnjgf0+rbDvKbsprh0RcW4ypz3I4ClVZnp08RzJbC/AFjvq8hEeWSSmRt70sHLKpjLhBlrNIs2a133GKbrp8ELnpMs7/GfTXw6z7LEGkREIGhJuDhchisGCJHYUFLSBKLjiJitE+ePAEJQq+kWBkVezBdDJOlcomWax+UoM1uIU/Hnr272gsUqqvVREAEREAEBpFAbDyIK4LCFm4pKIcOvnzIPVmpKOrWuLCh1ZzjxGJxHgqmRlvRFCcB7fZ7fS4CIiACInB5BIIiP40UFgw/CrmXTp06YXPz57pulCFzoXBPqVqx/Ydm2qF0cfGerhvQF8abANaLXANWUSgki9Qps8des+OvnrZCfhrzAKwlk2V753t2utNBUGiioy45NhCelExD0IVkMRyCizSgh9h2Ylq61alpZtgcjdh7UV2o3uDzpLvickAKgoKLC4baxX9jxRQ11RQ4e2f2WaVe8ThdNREQAREQgcEkEDWQwwOLExoWmMeDFnAaCYJlvNtRM5cT5x/8/T5UIaVrfAi14HihJgIiIAIi0DsCjcbFZN4McUvnMvbSnhcx++6eriJEJtD7iaHOu3btckNxPN/X/L13V200tlyDUYlrQmZzjKot2/U8ikRZzt+rRyXbfs/NduPtm5CrKawGY5VSEn2MoXNsUjKNRl/QWYjAsgSCqyMHmxCDncEgxXKmu32xQfdGhtKFAQtRt+2cSxQkHIxCxTnuIELit/n5CzY7O4sEHVpkLAtdb4qACIjAABCg3HcvVE4UIdfPnn/NTpw+idweSN7NetddmodnYAxIIbSaCxuOG/SCXauSqsvm9bEIiIAIiMAKBLzKJ1qINEjDyEuF/4ED+1G3p3tOPRZ74G9dhmeSLvvn5+fakQgr7FRvi0CbAJN81ypV21DYYC/ve9VeOzGHxN9ZFAJZsNREwx56L7yYsAxMYU7A5iGY7snEt+P1oZRMQ9KdlvNm8jhJNRFYhUDoN2GQYp/hwMXFxqkzp/yXVDCF/Bwh7pteS6GFhYp7PLWgsYaWmgoq9b9VwOsjERABEegzgWQrzsXk3kewZs/MzCx5p65Ffie8Ukzczpw5Y2fOnF7ydu3zqWn3IiACIjDSBMLc25fskMWcux87dszOXTiHOfva1n8u5+GBSl+TRlS3GSio4jDqtf1+pAHr5FYlkEIexgiedLMnZm1m1wHLpqa8AnkrUbP7H7zdtt221WqtuntJsyWglKKDXZz+N35PSqZVEQ/mh2uZHA7mkeuorjYBDiZB0RSqzJXLZR+oKtUySqPW3coRlEydz3mstISUSiW3XPtrDHLcHqvMMQGsmgiIgAiIwOASoExnowX84KH9Rmt4XDW0+/QvVKZjLpAGjBGsSsft8bXmIYN7zXVkIiACw0+AcrZzbk7Ze/iVl10G2xqUTGE+z3m752LFemA/wp7DmDD8hHQGvSTQqKGSLOYLP3zueSsuVCydyvkaMJNP2Xve/xC86eApnU5Zw+pxeBz1lrBLxUqm+MgSWDDGa1B8WIdGCrpSmz9Vsq99/s8tMZ+3Vg4/bv+CHZSeDnzN51x4qgxiLy8xFdBgzsTMuD6ZJMpXlms2UchZsVa0W++82d766D29PQBtfagJ8F7lYiA84vKScTnU+F7m/RyHyNFovf/l3fa/v/7n1kxCC41BbNu1N9k//oe/aNaARtvLUiLSloIFVQf4jxWH1ERABERABAaXQJD7HA/Ccx4treMoBmN/+mdftaOnjsQnEKXsIz/zMTmhmt4AABEjSURBVLv7jnvh0Pr68YPzvmAFl5JpcK+3jkwERGD0CFB+U0EUZLjP6xmiBHvBD1581v7fd77pc/SkZey+u++zD73/I75eD2t4fp9KAj6C8mr0KOmM1koggXUeo+ZTmAfEOXnxF/oGaJOg26lZopG2l57bYwdfPGITySlLpCObq8/ahz/xAbt3551xx+uyM3dPoA6JHnXcEW1brCbiPRedNSxO+T0+D4omdnJZs7rQXYePXaGHql51JOCiSxqFQ7EMz5JCyqY3Tq/DHrSJUScQBpjlBhre91Qy+YIB93sYgKjU5IOKZHpAJdwjKv4O+2EyiYGqhWRwa0g+OOp8dX4iIAIiMIgEgiIoLCouHQt8dYKJZpD7PIcEtE6U+ZwHMml4ZwvbC3/D9gbx3HVMIiACIjDMBChfL12D83Wns0dQMnGuTjlOJUGiXcQnl8v56XfK6c7tSX4Pc++48mOPmrHCkV5uzL3LnLtNJJevlhZtamrK9r30Mh77bLqw2Zp1vN8s286H32b3vvVu6H+qmCfE/Wu1I0nHCX+ZogkWqvY3C5NZm9o0bQulirWgNQ0TCn7M51Q0sXOyo3d+ttqO9NnlESDfJdZMtIwJYQLWRVaJuWbL5svbqH41NgSWuz+DBSP+jFaO+M73wand31gZINSeCPc8FySu5Ubz36o4xdj0I52oCIjA8BG4dBHxRus1ZXosz8N3qVaifHfFFGaG4f3ObV263eEjoyMWAREQgcEmsNz8PcjmcORUMjG6oPO7lM988L1L3+fvJL8H+7pfraNLwOOtiZxLDKE/N3/eNm/cYIVMwVJR2g7uPmj7njuEWnIF6HqaVmwu2rbt19mjTzzktqkMHA3W0pIsUx6URt75WD0Ejkzb73qT1VM130boqOyYQYPK9944YVnLLvWdn4QAGbMKjF8DJm+DYq8wNQG3s8imNxd+kk3pu2NI4NJBhgg6Fw2d93QYmMJ3wutwz4fX4Td8X00EREAERGAwCXTK7NWeh/CLS2V9eH3p+2EMGcyz1lGJgAiIwPATCAqilWR3kNudc/fOs+bnneF1l25n+AnpDK6EAIKkLIPKsdVmxTZu2mDVCjyZKmYHdh+2F57dZ+lmzvKpPFxa6ja9NW8f/HuPGnROVqosrnm3UFvEzcvNufYTAXp4euebb8PeG0tu1MGdmp1+pQ695r3qi2smUGfpSVgUyZ3CgkrBar1iW67bbFl4nKmJwGoEVrpXw+DU+dswoAXFVOffS/exnPLq0u/otQiIgAiIQP8IXCrLlzuS8B0atPhYTrZfup3wveW2p/dEQAREQATWh0CYl1+qIOLrS+Vypyzv/KzzSPh+kPXrc4TayrASqNbmrVYv2kQO+bdrLculJuz7f/Nje/GHByxZn7QUFFAVaJ1S+cj+wS981LbcsgG5uxs2MTGBolFxQZFu556MUJL8YmvnZkFIzNZt19jWN13jnjNM7h0rOC56L8mS1Q3t+nxO9p4TB4KBcZMJJOSqN8q2467tlsgoXml9KI/uVlZSMoWBi2fe+ZyvO+/tMFB1EuocyEaXnM5MBERABIabwGryP8j95eZy4b1Lx4ZAY6XtDjctHb0IiIAIDBaBTlncOfdeySDAow/yudNwEM5qOXk/WGeso7laBCYnJ5ESCfU9yk2rzTft21//Kzv+yqzl05NYF6IIXOM1S0417Od++eO26YYNcZ5euD9RH5RKds/HxPNIJhNpOjB5Y2wn4/GZ8SeNiKx3vOsBC4nDqOygwqlz0bnSBORqARqH/dCLKZQbjnm3bNubbrLrbrgOV6kxDgh0jutAYLmBhf0pDEbd/vIQwjbCdykP1ERABERABAabQKd855GG1+Go+boz9KLz/c7vXzpODPZZ6+hEQAREYHgJhDl3OIPO9fdKcnm50ObO7XTK+uEloyNfDwK1assmshvt5OHXoGD6ayuerVgDFewr5QVLIpJt8qa8/fxTPwsF06SloVNqRlX3YEqyJO0afVzwTSR+xFoR602feMRKJr5hdvcDO2zX00fswoULViqV/JxWs36tx0lrG68nQCXfIi44M7/To4kC5J577kEHgDaxVUUR+YyQicCKBGjJuHSgWu7Lfl/jv2D5SELj7BXm2gkE+RtXSrUly9L7FBhqIiACIiACA0eA8jy05caBWO7HyWE7jYZhMdNqGxIu/Yzb5HsyNAzcJdcBiYAIjCiBIMPD3065HGQyU9/4vw75vJz8Xm48GFFsOq0VCJw9W7SZF39ks0fOIME30u80WpbFnIHV6/n48Cc+YtfeiCr2mEbADOVbSSPhdxSxf62w0UveTvN78Iryxgpz3Jr/lv+DCup9P/ewfeVLX4ZH04Sl6ojZb2JigbJ3SYRt1aK6ZyGP3fbibPYR4vV4OGGSEm/IN692GQSSjaRN5zZZqVZEjiyzW++6ya65aaO1kJQ92YQCYakm4GVsXD8ZeQKxl+Iq0gCV5VDEkipqKJRwP8NzLkriHsbiItmkdRt5wAxujS3kBUuiEAAqHCaaSASHcpbpbGRRuzLdyIPUCYqACIjAkBEIXurxYb9xHKBMb0XIx4DSxYlGxlqsXpuo4jXzPXIe98YKMmGb8d+LSqwhQ6PDFQEREIGhJBAW+BGEMJM3G+Q3Eyy3sCakzEZFL18ZLie/wwmvVUkwlIDG5aBRaf6irgVruPYQ3wppkFo5X9M1m3UPcQupd2ZPn7ajrx63V3efQbV6qHowB4Aix5qJitUzZbv9gTvtPY+92/LXXnRiYY9Kt0PkOmxXXUlDjbR6u2Zbzv7+P/qo/a8/+bpVqk1XeBQKWVuszNlEAeXv6lhoQtnUwEklEliwpmOlEy1cPClNQVbn2+3TEhJzoVagRemGbd660d720P1WbZUti8U+3dZcQaAmApdJoAWFUgsKJBdKEFANDFb1Bp4nE5bNZi1TwJsphspC4dSsQmDhI3jUsbUSWJhQE60mAiIgAiIwdASY5zGZyWJyCaNCFqkTUEWmyQULzI91zC+yb9RLDd056oBFQAREYBQJcOGPFbhHGNDem4bA9ldYe1cj5PClBkFtZAkksrj+1LXgEbyKQ66uFtZwUb1sdehtshms57BUO3PyjB3cc9JmTxTxGd6A/iYBjVEG/WaxWrTMZMLe+/gj9uAjb8a6b32wdV8hZut2233b7F3v3Wm7v3/IiudLVqwUbXoSYVyLC5ZuK5VScKFio2KpWmfMHiuVwBoGBZTa5RNI4OLnJtOWyqXt3T/9DijzSvAqy1q5WvEQuqixtgzvl38E+uUoE0Baf8iSuKpQMo1RCvdxAvG2tSYWGgiZq1RKUC6XbTIz7Rpv3t+0miRCGN3rTeWjjErnJgIiIAIjRSCN8sTQKPk5RYk65pxVCnl/TXnfWqo/PFKnrZMRAREQgZEgkE7C2QPGgBZck+rNmlUbVctn8pbKMN/yGhPnjASJ8TuJRr3e9mSClxGiyxJtzVCTUShwFkhhEJ+Dzub4K+ft9NFzVrpQtiR0MkkYkxL8m5hy7+WFxgXbcd+t9uiHHrEN1+etguJi6VR6XdLxdFUycbrBZE8Pf+CtngT8e09/3xecF84v2OQEwrYwIYkQatOk2x7cHDJQLrmXDTwjlly2xu/ar9sZZ7MITULS9Xc9vNNysDgWUGpwbn4Rbm8FK1+A5hqs1UTgcgk0YP7wcQj3cROhE/VSA/0M4RNWxAOei4XN1qqij0VQIrfSLsTo6ISIXfwPv0FsrpoIiIAIiMDwEUjB+7xaRpg0/rEiMcwN8GAtoJwxDA5Vus9Lvg/fVdURi4AIjAMBSucGJvA1rLejOhwSMHfHrBxhTRlrVLEur0h+j3I/aGFdRi+mRgNrt2rDyuWqLS6UbGFhAQ4CNZt99Zw7BHhIHdd50CXE/QOeTUiBVGqWbPN1G+19jz5sd731Fk+RVEPalEx2/XI9Y/+rqzo9wxI6MLytsBBN2OmXT9t/+Y9/ZrnUtdaopC2fyOAE4pPAShShNlU/YXoyUbMWaZJyZX0cC/tUGnzTTVgZkfW9VkaY4jQSsdf8b525mtRE4DIJtLDIyKTgcQjPpRSqB5ytnbZDJ/daKo9sXwyNW5ywt+x4l0WLLApQw/uwmjSRu8MFVxULEw1il4lePxMBERCB/hKAV2oGZYwPzD5ni80K5hpYrFQq9qbpt9rmyY0cFtREQAREQAQGkEAKa296raTyKZstHrfj51/GPB5zd+TUu2bqers+s30Aj1qHtF4Esh5BdjEpEZ0AuDZjehP+TcNyhO4Bh4E4zUkCCbw8gBKhdIxced+TD9ptd2637Cb8Dl5PVEDR4MTsKUyFlEEE1ZW2rlvgztJQGNXqiNfDt6+7daP91u/+pj373V32zN88j3zkU+0QGiQIZrIxrDmpXErTqwm5W8pw51K7fAJIe8MeAQ1lzfKFghWgEGiWIpvObLLaAhb9rCuoJgKXSaCVgEtklIEWvGK1RsXjeifgJReloRlHDqYt01uQABweTEwoyAxMdVQ4RCwvVUsphFI0lfj7MsnrZyIgAiLQXwJJFG6pYz6RSeaR+LuCmUbKCvlpLyqSabBmcX+PT3sXAREQARFYnkAGc/AI6WkYKpeC8TePyJdWGqFQ9ZTVKwiXaidqXv7XenfYCaDAPNQDcUgk9S+emwvKIjf9Q8mUzDAxfNaq0DQtIv9ibipnt92zzd72zjfbTbdv9Txe/HITaVOaKNrG1CnMrc3fe/qUdWhdlUz0YKpWqwiVK2B3CIFjAilovR754IN2/8677Tv/57t25swZmzs7D3estE3kp+D1lLNapQ63rQXPG6R2+QSySLxcgWWRCrskFAJVcK1DcbdxCh4lUAy4u4maCFwmAQqWJFxrM1lorxGOmcLglGA1AmqyoQ2vNotWq1WskJ7C/Y2+hveYlymFxLCxUnl9BNFlHr5+JgIiIAIicJkEssjHFKU4MaWjOlMcwLOpBe90D8OH0ZBWQzUREAEREIGBI0A9QAt5keEJghDnduEeRLvkUGGOOZkYUaQ2wgTgeUylEHMnRvBqY+GOiEomjN+89sXqhBUmknbnXVvs3ge32w23bDEmC2dVei7nqNNhATGu5bLQL7Ta5en4h7qG/MSVh811VTJhVwiNY0eFmxXUXjV41uS431zdNt2QtI/+0mNWhUfN6WOv2cljZ+zEq6/ZudNz1sJiNTc55WE4apdPoNJAOFyGyZhbVkL29xSebwTX83OzUPwh7haeJ2oicLkEmgnqsOOQ2DjctYGY3Bbeg2UE+b+8eiGqyzUQqmlIKpiEl2IqDWUUlM0NvGaeJjUREAEREIHhI4B5pEUFWL2Z8DsFJRPmGbUGLOHMq4m5m1LuDd811RGLgAiMB4E60lXU4aXSgucpZTXsxR48xQpzzK0T4aE2ugQiGPvTUDAyrC0/gbiyTRO2+dpNtnnLJpuanrCtb5q26U3TXimuBV0B8+wm4UTgaXg9ATiizthp+AYeNCm1Wgiaw5P0xPo4sHRfIcIrKVQpp1ELKVnarf0EW8htztotm7fZLfdvG92rqTMTgTEgcPjwYfuDP/gDeCPCwl1v2R07d9iv/dqvuqY7zsMUW7Y7n48BFp2iCIiACIwsga98pWLPPPMMKtLEyb5/9jMftDvuuGNkz1cnJgIiIAKjQCDMxZ9//nn74hcPQHHAwj1N++nH324f+9jHRuEUdQ7rQID5mODf5FviKo5pkJZah8My8zp1Vwyt/YDkS7d2VvqmCIiACIiACIiACIiACIiACIiACIiACIjACgSkZFoBjN4WAREQAREQAREQAREQAREQAREQAREQARFYOwEpmdbOSt8UAREQAREQAREQAREQAREQAREQAREQARFYgcD/B3FQ2CtMEswLAAAAAElFTkSuQmCC"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### \"I love coffee\"\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### spaCy likes to be helpful..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'nominal subject'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spacy.explain('nsubj')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "List of annotation descriptions and reference links to original sources (Universal Dependencies scheme, OntoNotes):\n",
    "https://spacy.io/api/annotation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Part of speech (POS)\n",
    "\n",
    "POS is a category for words that play similar roles\n",
    "\n",
    "POS list for English: noun, verb, adjective, adverb, pronoun, preposition, conjunction, interjection, numeral, article, determiner\n",
    "\n",
    "https://en.wikipedia.org/wiki/Part_of_speech"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Syntactic dependency (DEP)\n",
    "\n",
    "DEP gives the relationship between tokens\n",
    "\n",
    "\"I\" is the _nominal subject_ and \"coffee\" is the _direct object_.  They are connected by the _root_ \"love\"."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's visualize the tokens using displaCy\n",
    "\n",
    "To plot a dependency tree with displaCy, we will also need to "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" xml:lang=\"en\" id=\"c186b7d081b04d008748d703aa86ca56-0\" class=\"displacy\" width=\"575\" height=\"224.5\" direction=\"ltr\" style=\"max-width: none; height: 224.5px; color: #000000; background: #ffffff; font-family: Arial; direction: ltr\">\n",
       "<text class=\"displacy-token\" fill=\"currentColor\" text-anchor=\"middle\" y=\"134.5\">\n",
       "    <tspan class=\"displacy-word\" fill=\"currentColor\" x=\"50\">i</tspan>\n",
       "    <tspan class=\"displacy-tag\" dy=\"2em\" fill=\"currentColor\" x=\"50\">PRON</tspan>\n",
       "</text>\n",
       "\n",
       "<text class=\"displacy-token\" fill=\"currentColor\" text-anchor=\"middle\" y=\"134.5\">\n",
       "    <tspan class=\"displacy-word\" fill=\"currentColor\" x=\"225\">love</tspan>\n",
       "    <tspan class=\"displacy-tag\" dy=\"2em\" fill=\"currentColor\" x=\"225\">VERB</tspan>\n",
       "</text>\n",
       "\n",
       "<text class=\"displacy-token\" fill=\"currentColor\" text-anchor=\"middle\" y=\"134.5\">\n",
       "    <tspan class=\"displacy-word\" fill=\"currentColor\" x=\"400\">coffee</tspan>\n",
       "    <tspan class=\"displacy-tag\" dy=\"2em\" fill=\"currentColor\" x=\"400\">NOUN</tspan>\n",
       "</text>\n",
       "\n",
       "<g class=\"displacy-arrow\">\n",
       "    <path class=\"displacy-arc\" id=\"arrow-c186b7d081b04d008748d703aa86ca56-0-0\" stroke-width=\"2px\" d=\"M70,89.5 C70,2.0 225.0,2.0 225.0,89.5\" fill=\"none\" stroke=\"currentColor\"/>\n",
       "    <text dy=\"1.25em\" style=\"font-size: 0.8em; letter-spacing: 1px\">\n",
       "        <textPath xlink:href=\"#arrow-c186b7d081b04d008748d703aa86ca56-0-0\" class=\"displacy-label\" startOffset=\"50%\" side=\"left\" fill=\"currentColor\" text-anchor=\"middle\">nsubj</textPath>\n",
       "    </text>\n",
       "    <path class=\"displacy-arrowhead\" d=\"M70,91.5 L62,79.5 78,79.5\" fill=\"currentColor\"/>\n",
       "</g>\n",
       "\n",
       "<g class=\"displacy-arrow\">\n",
       "    <path class=\"displacy-arc\" id=\"arrow-c186b7d081b04d008748d703aa86ca56-0-1\" stroke-width=\"2px\" d=\"M245,89.5 C245,2.0 400.0,2.0 400.0,89.5\" fill=\"none\" stroke=\"currentColor\"/>\n",
       "    <text dy=\"1.25em\" style=\"font-size: 0.8em; letter-spacing: 1px\">\n",
       "        <textPath xlink:href=\"#arrow-c186b7d081b04d008748d703aa86ca56-0-1\" class=\"displacy-label\" startOffset=\"50%\" side=\"left\" fill=\"currentColor\" text-anchor=\"middle\">dobj</textPath>\n",
       "    </text>\n",
       "    <path class=\"displacy-arrowhead\" d=\"M400.0,91.5 L408.0,79.5 392.0,79.5\" fill=\"currentColor\"/>\n",
       "</g>\n",
       "</svg>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from spacy import displacy\n",
    "\n",
    "# Outside of jupyter, use displacy.serve()\n",
    "displacy.render(doc, style='dep')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### spaCy likes to be helpful...\n",
    "\n",
    "If you do something wrong, you might see a helpful error message.  In this case, if you try to plot the dependency tree in the style of entities for a sentence that has no entities, you'll get this error message."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/eric/miniconda3/envs/spacy/lib/python3.6/runpy.py:193: UserWarning: [W006] No entities to visualize found in Doc object. If this is surprising to you, make sure the Doc was processed using a model that supports named entity recognition, and check the `doc.ents` property manually if necessary.\n",
      "  \"__main__\", mod_spec)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div class=\"entities\" style=\"line-height: 2.5; direction: ltr\">i love coffee</div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "displacy.render(doc, style='ent')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "()"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "doc.ents"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's try a sentence that contains entities instead."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "doc = nlp('Apple is looking at buying U.K. startup for $1 billion')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<text class=\"displacy-token\" fill=\"currentColor\" text-anchor=\"middle\" y=\"309.5\">\n",
       "    <tspan class=\"displacy-word\" fill=\"currentColor\" x=\"50\">Apple</tspan>\n",
       "    <tspan class=\"displacy-tag\" dy=\"2em\" fill=\"currentColor\" x=\"50\">PROPN</tspan>\n",
       "</text>\n",
       "\n",
       "<text class=\"displacy-token\" fill=\"currentColor\" text-anchor=\"middle\" y=\"309.5\">\n",
       "    <tspan class=\"displacy-word\" fill=\"currentColor\" x=\"225\">is</tspan>\n",
       "    <tspan class=\"displacy-tag\" dy=\"2em\" fill=\"currentColor\" x=\"225\">AUX</tspan>\n",
       "</text>\n",
       "\n",
       "<text class=\"displacy-token\" fill=\"currentColor\" text-anchor=\"middle\" y=\"309.5\">\n",
       "    <tspan class=\"displacy-word\" fill=\"currentColor\" x=\"400\">looking</tspan>\n",
       "    <tspan class=\"displacy-tag\" dy=\"2em\" fill=\"currentColor\" x=\"400\">VERB</tspan>\n",
       "</text>\n",
       "\n",
       "<text class=\"displacy-token\" fill=\"currentColor\" text-anchor=\"middle\" y=\"309.5\">\n",
       "    <tspan class=\"displacy-word\" fill=\"currentColor\" x=\"575\">at</tspan>\n",
       "    <tspan class=\"displacy-tag\" dy=\"2em\" fill=\"currentColor\" x=\"575\">ADP</tspan>\n",
       "</text>\n",
       "\n",
       "<text class=\"displacy-token\" fill=\"currentColor\" text-anchor=\"middle\" y=\"309.5\">\n",
       "    <tspan class=\"displacy-word\" fill=\"currentColor\" x=\"750\">buying</tspan>\n",
       "    <tspan class=\"displacy-tag\" dy=\"2em\" fill=\"currentColor\" x=\"750\">VERB</tspan>\n",
       "</text>\n",
       "\n",
       "<text class=\"displacy-token\" fill=\"currentColor\" text-anchor=\"middle\" y=\"309.5\">\n",
       "    <tspan class=\"displacy-word\" fill=\"currentColor\" x=\"925\">U.K.</tspan>\n",
       "    <tspan class=\"displacy-tag\" dy=\"2em\" fill=\"currentColor\" x=\"925\">PROPN</tspan>\n",
       "</text>\n",
       "\n",
       "<text class=\"displacy-token\" fill=\"currentColor\" text-anchor=\"middle\" y=\"309.5\">\n",
       "    <tspan class=\"displacy-word\" fill=\"currentColor\" x=\"1100\">startup</tspan>\n",
       "    <tspan class=\"displacy-tag\" dy=\"2em\" fill=\"currentColor\" x=\"1100\">NOUN</tspan>\n",
       "</text>\n",
       "\n",
       "<text class=\"displacy-token\" fill=\"currentColor\" text-anchor=\"middle\" y=\"309.5\">\n",
       "    <tspan class=\"displacy-word\" fill=\"currentColor\" x=\"1275\">for</tspan>\n",
       "    <tspan class=\"displacy-tag\" dy=\"2em\" fill=\"currentColor\" x=\"1275\">ADP</tspan>\n",
       "</text>\n",
       "\n",
       "<text class=\"displacy-token\" fill=\"currentColor\" text-anchor=\"middle\" y=\"309.5\">\n",
       "    <tspan class=\"displacy-word\" fill=\"currentColor\" x=\"1450\">$</tspan>\n",
       "    <tspan class=\"displacy-tag\" dy=\"2em\" fill=\"currentColor\" x=\"1450\">SYM</tspan>\n",
       "</text>\n",
       "\n",
       "<text class=\"displacy-token\" fill=\"currentColor\" text-anchor=\"middle\" y=\"309.5\">\n",
       "    <tspan class=\"displacy-word\" fill=\"currentColor\" x=\"1625\">1</tspan>\n",
       "    <tspan class=\"displacy-tag\" dy=\"2em\" fill=\"currentColor\" x=\"1625\">NUM</tspan>\n",
       "</text>\n",
       "\n",
       "<text class=\"displacy-token\" fill=\"currentColor\" text-anchor=\"middle\" y=\"309.5\">\n",
       "    <tspan class=\"displacy-word\" fill=\"currentColor\" x=\"1800\">billion</tspan>\n",
       "    <tspan class=\"displacy-tag\" dy=\"2em\" fill=\"currentColor\" x=\"1800\">NUM</tspan>\n",
       "</text>\n",
       "\n",
       "<g class=\"displacy-arrow\">\n",
       "    <path class=\"displacy-arc\" id=\"arrow-145d9aea84a54d6aaea5deb926fec52d-0-0\" stroke-width=\"2px\" d=\"M70,264.5 C70,89.5 395.0,89.5 395.0,264.5\" fill=\"none\" stroke=\"currentColor\"/>\n",
       "    <text dy=\"1.25em\" style=\"font-size: 0.8em; letter-spacing: 1px\">\n",
       "        <textPath xlink:href=\"#arrow-145d9aea84a54d6aaea5deb926fec52d-0-0\" class=\"displacy-label\" startOffset=\"50%\" side=\"left\" fill=\"currentColor\" text-anchor=\"middle\">nsubj</textPath>\n",
       "    </text>\n",
       "    <path class=\"displacy-arrowhead\" d=\"M70,266.5 L62,254.5 78,254.5\" fill=\"currentColor\"/>\n",
       "</g>\n",
       "\n",
       "<g class=\"displacy-arrow\">\n",
       "    <path class=\"displacy-arc\" id=\"arrow-145d9aea84a54d6aaea5deb926fec52d-0-1\" stroke-width=\"2px\" d=\"M245,264.5 C245,177.0 390.0,177.0 390.0,264.5\" fill=\"none\" stroke=\"currentColor\"/>\n",
       "    <text dy=\"1.25em\" style=\"font-size: 0.8em; letter-spacing: 1px\">\n",
       "        <textPath xlink:href=\"#arrow-145d9aea84a54d6aaea5deb926fec52d-0-1\" class=\"displacy-label\" startOffset=\"50%\" side=\"left\" fill=\"currentColor\" text-anchor=\"middle\">aux</textPath>\n",
       "    </text>\n",
       "    <path class=\"displacy-arrowhead\" d=\"M245,266.5 L237,254.5 253,254.5\" fill=\"currentColor\"/>\n",
       "</g>\n",
       "\n",
       "<g class=\"displacy-arrow\">\n",
       "    <path class=\"displacy-arc\" id=\"arrow-145d9aea84a54d6aaea5deb926fec52d-0-2\" stroke-width=\"2px\" d=\"M420,264.5 C420,177.0 565.0,177.0 565.0,264.5\" fill=\"none\" stroke=\"currentColor\"/>\n",
       "    <text dy=\"1.25em\" style=\"font-size: 0.8em; letter-spacing: 1px\">\n",
       "        <textPath xlink:href=\"#arrow-145d9aea84a54d6aaea5deb926fec52d-0-2\" class=\"displacy-label\" startOffset=\"50%\" side=\"left\" fill=\"currentColor\" text-anchor=\"middle\">prep</textPath>\n",
       "    </text>\n",
       "    <path class=\"displacy-arrowhead\" d=\"M565.0,266.5 L573.0,254.5 557.0,254.5\" fill=\"currentColor\"/>\n",
       "</g>\n",
       "\n",
       "<g class=\"displacy-arrow\">\n",
       "    <path class=\"displacy-arc\" id=\"arrow-145d9aea84a54d6aaea5deb926fec52d-0-3\" stroke-width=\"2px\" d=\"M595,264.5 C595,177.0 740.0,177.0 740.0,264.5\" fill=\"none\" stroke=\"currentColor\"/>\n",
       "    <text dy=\"1.25em\" style=\"font-size: 0.8em; letter-spacing: 1px\">\n",
       "        <textPath xlink:href=\"#arrow-145d9aea84a54d6aaea5deb926fec52d-0-3\" class=\"displacy-label\" startOffset=\"50%\" side=\"left\" fill=\"currentColor\" text-anchor=\"middle\">pcomp</textPath>\n",
       "    </text>\n",
       "    <path class=\"displacy-arrowhead\" d=\"M740.0,266.5 L748.0,254.5 732.0,254.5\" fill=\"currentColor\"/>\n",
       "</g>\n",
       "\n",
       "<g class=\"displacy-arrow\">\n",
       "    <path class=\"displacy-arc\" id=\"arrow-145d9aea84a54d6aaea5deb926fec52d-0-4\" stroke-width=\"2px\" d=\"M945,264.5 C945,177.0 1090.0,177.0 1090.0,264.5\" fill=\"none\" stroke=\"currentColor\"/>\n",
       "    <text dy=\"1.25em\" style=\"font-size: 0.8em; letter-spacing: 1px\">\n",
       "        <textPath xlink:href=\"#arrow-145d9aea84a54d6aaea5deb926fec52d-0-4\" class=\"displacy-label\" startOffset=\"50%\" side=\"left\" fill=\"currentColor\" text-anchor=\"middle\">compound</textPath>\n",
       "    </text>\n",
       "    <path class=\"displacy-arrowhead\" d=\"M945,266.5 L937,254.5 953,254.5\" fill=\"currentColor\"/>\n",
       "</g>\n",
       "\n",
       "<g class=\"displacy-arrow\">\n",
       "    <path class=\"displacy-arc\" id=\"arrow-145d9aea84a54d6aaea5deb926fec52d-0-5\" stroke-width=\"2px\" d=\"M770,264.5 C770,89.5 1095.0,89.5 1095.0,264.5\" fill=\"none\" stroke=\"currentColor\"/>\n",
       "    <text dy=\"1.25em\" style=\"font-size: 0.8em; letter-spacing: 1px\">\n",
       "        <textPath xlink:href=\"#arrow-145d9aea84a54d6aaea5deb926fec52d-0-5\" class=\"displacy-label\" startOffset=\"50%\" side=\"left\" fill=\"currentColor\" text-anchor=\"middle\">dobj</textPath>\n",
       "    </text>\n",
       "    <path class=\"displacy-arrowhead\" d=\"M1095.0,266.5 L1103.0,254.5 1087.0,254.5\" fill=\"currentColor\"/>\n",
       "</g>\n",
       "\n",
       "<g class=\"displacy-arrow\">\n",
       "    <path class=\"displacy-arc\" id=\"arrow-145d9aea84a54d6aaea5deb926fec52d-0-6\" stroke-width=\"2px\" d=\"M770,264.5 C770,2.0 1275.0,2.0 1275.0,264.5\" fill=\"none\" stroke=\"currentColor\"/>\n",
       "    <text dy=\"1.25em\" style=\"font-size: 0.8em; letter-spacing: 1px\">\n",
       "        <textPath xlink:href=\"#arrow-145d9aea84a54d6aaea5deb926fec52d-0-6\" class=\"displacy-label\" startOffset=\"50%\" side=\"left\" fill=\"currentColor\" text-anchor=\"middle\">prep</textPath>\n",
       "    </text>\n",
       "    <path class=\"displacy-arrowhead\" d=\"M1275.0,266.5 L1283.0,254.5 1267.0,254.5\" fill=\"currentColor\"/>\n",
       "</g>\n",
       "\n",
       "<g class=\"displacy-arrow\">\n",
       "    <path class=\"displacy-arc\" id=\"arrow-145d9aea84a54d6aaea5deb926fec52d-0-7\" stroke-width=\"2px\" d=\"M1470,264.5 C1470,89.5 1795.0,89.5 1795.0,264.5\" fill=\"none\" stroke=\"currentColor\"/>\n",
       "    <text dy=\"1.25em\" style=\"font-size: 0.8em; letter-spacing: 1px\">\n",
       "        <textPath xlink:href=\"#arrow-145d9aea84a54d6aaea5deb926fec52d-0-7\" class=\"displacy-label\" startOffset=\"50%\" side=\"left\" fill=\"currentColor\" text-anchor=\"middle\">quantmod</textPath>\n",
       "    </text>\n",
       "    <path class=\"displacy-arrowhead\" d=\"M1470,266.5 L1462,254.5 1478,254.5\" fill=\"currentColor\"/>\n",
       "</g>\n",
       "\n",
       "<g class=\"displacy-arrow\">\n",
       "    <path class=\"displacy-arc\" id=\"arrow-145d9aea84a54d6aaea5deb926fec52d-0-8\" stroke-width=\"2px\" d=\"M1645,264.5 C1645,177.0 1790.0,177.0 1790.0,264.5\" fill=\"none\" stroke=\"currentColor\"/>\n",
       "    <text dy=\"1.25em\" style=\"font-size: 0.8em; letter-spacing: 1px\">\n",
       "        <textPath xlink:href=\"#arrow-145d9aea84a54d6aaea5deb926fec52d-0-8\" class=\"displacy-label\" startOffset=\"50%\" side=\"left\" fill=\"currentColor\" text-anchor=\"middle\">compound</textPath>\n",
       "    </text>\n",
       "    <path class=\"displacy-arrowhead\" d=\"M1645,266.5 L1637,254.5 1653,254.5\" fill=\"currentColor\"/>\n",
       "</g>\n",
       "\n",
       "<g class=\"displacy-arrow\">\n",
       "    <path class=\"displacy-arc\" id=\"arrow-145d9aea84a54d6aaea5deb926fec52d-0-9\" stroke-width=\"2px\" d=\"M1295,264.5 C1295,2.0 1800.0,2.0 1800.0,264.5\" fill=\"none\" stroke=\"currentColor\"/>\n",
       "    <text dy=\"1.25em\" style=\"font-size: 0.8em; letter-spacing: 1px\">\n",
       "        <textPath xlink:href=\"#arrow-145d9aea84a54d6aaea5deb926fec52d-0-9\" class=\"displacy-label\" startOffset=\"50%\" side=\"left\" fill=\"currentColor\" text-anchor=\"middle\">pobj</textPath>\n",
       "    </text>\n",
       "    <path class=\"displacy-arrowhead\" d=\"M1800.0,266.5 L1808.0,254.5 1792.0,254.5\" fill=\"currentColor\"/>\n",
       "</g>\n",
       "</svg>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "displacy.render(doc, style='dep')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"entities\" style=\"line-height: 2.5; direction: ltr\">\n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Apple\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       " is looking at buying \n",
       "<mark class=\"entity\" style=\"background: #feca74; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    U.K.\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">GPE</span>\n",
       "</mark>\n",
       " startup for \n",
       "<mark class=\"entity\" style=\"background: #e4e7d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    $1 billion\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">MONEY</span>\n",
       "</mark>\n",
       "</div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "displacy.render(doc, style='ent')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Access the attributes of tokens\n",
    "\n",
    "The tokens can be accessed by iterating over the doc object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Apple\n",
      "Apple\n"
     ]
    }
   ],
   "source": [
    "print(doc[0])\n",
    "print(doc[0].text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Apple\n",
      "is\n",
      "looking\n",
      "at\n",
      "buying\n",
      "U.K.\n",
      "startup\n",
      "for\n",
      "$\n",
      "1\n",
      "billion\n"
     ]
    }
   ],
   "source": [
    "for token in doc:\n",
    "    print(token)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Apple PROPN nsubj\n",
      "is AUX aux\n",
      "looking VERB ROOT\n",
      "at ADP prep\n",
      "buying VERB pcomp\n",
      "U.K. PROPN compound\n",
      "startup NOUN dobj\n",
      "for ADP prep\n",
      "$ SYM quantmod\n",
      "1 NUM compound\n",
      "billion NUM pobj\n"
     ]
    }
   ],
   "source": [
    "for token in doc:\n",
    "    print(token.text, token.pos_, token.dep_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "text       part of speech  description     dependency      description                    lemma                is stop   \n",
      "Apple      PROPN           proper noun     nsubj           nominal subject                Apple                0         \n",
      "is         AUX             auxiliary       aux             auxiliary                      be                   1         \n",
      "looking    VERB            verb            ROOT            None                           look                 0         \n",
      "at         ADP             adposition      prep            prepositional modifier         at                   1         \n",
      "buying     VERB            verb            pcomp           complement of preposition      buy                  0         \n",
      "U.K.       PROPN           proper noun     compound        compound                       U.K.                 0         \n",
      "startup    NOUN            noun            dobj            direct object                  startup              0         \n",
      "for        ADP             adposition      prep            prepositional modifier         for                  1         \n",
      "$          SYM             symbol          quantmod        modifier of quantifier         $                    0         \n",
      "1          NUM             numeral         compound        compound                       1                    0         \n",
      "billion    NUM             numeral         pobj            object of preposition          billion              0         \n"
     ]
    }
   ],
   "source": [
    "print(f'{\"text\":<10} {\"part of speech\":<15} {\"description\":<15} {\"dependency\":<15} {\"description\":<30} {\"lemma\":<20} {\"is stop\":<10}')\n",
    "\n",
    "for token in doc:\n",
    "    print(f'{token.text:<10} {token.pos_:<15} {str(spacy.explain(token.pos_)):<15} {token.dep_:<15} {str(spacy.explain(token.dep_)):<30} {token.lemma_:<20} {token.is_stop:<10}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Lemma\n",
    "\n",
    "Lemma is the root or base of a group of words.\n",
    "\n",
    "Example: \"be\" is the base of \"am\", \"are\", and \"is\"\n",
    "\n",
    "The goal is to remove tense and other variations of the word and represent it in a common or standard form, which may improve analysis.\n",
    "\n",
    "https://nlp.stanford.edu/IR-book/html/htmledition/stemming-and-lemmatization-1.html#2378"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Stop Word\n",
    "\n",
    "Stop words are the common words that are sometimes removed from the text before analysis.  You can choose to remove them or not.  You can also add or remove stop words from spaCy's list of stop words if that is helpful to your analysis.  spaCy's default is to remove a list of stop words (labeled 1 above).  spaCy's default list of stop words is here: https://github.com/explosion/spaCy/blob/master/spacy/lang/en/stop_words.py\n",
    "\n",
    "https://en.wikipedia.org/wiki/Stop_words\n",
    "\n",
    "https://nlp.stanford.edu/IR-book/html/htmledition/dropping-common-terms-stop-words-1.html\n",
    "\n",
    "To see the stop words, use `nlp.Defaults.stop_words`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'two', 'thereupon', 'unless', 'keep', 'across', 'him', 'latterly', 'several', 'sixty', 'did', 'how', 'anyway', 'be', 'became', 'being', 'nevertheless', 'get', 'regarding', 'something', 'beyond', 'hers', 'what', 'we', 'above', 'himself', 'back', 'latter', 'five', 'side', 'say', 'not', 'our', 'nowhere', 'sometime', 'through', 'nothing', 'why', 'may', 'and', 'please', 'thus', 'was', 'any', 'here', 'hundred', 'these', 'about', 'off', 'further', 'thereby', 'alone', 'all', 'really', 'front', 'been', 'same', 'he', 'would', 'yours', 'much', 'wherever', \"'re\", 'or', '‘ll', 'give', 'sometimes', 'by', 'somehow', 'his', 'thereafter', \"'m\", 'hereafter', 'upon', 'as', 'either', 'make', 'however', 'amount', 'noone', 'an', 'besides', 'next', 'someone', 'hence', '’d', 'full', 'hereby', 'are', 'once', 'am', 'move', 'though', 'me', 'per', 'quite', 'toward', 'if', 'almost', 'whatever', 'last', 'wherein', 'their', 'anyhow', 'more', 'due', 'mostly', 'whose', 'among', 'bottom', 'everyone', 'others', 'it', 'take', 'can', 'first', 'show', 'themselves', 'while', 'might', 'which', 'whether', 'namely', 'is', 'on', 'never', 'becomes', 'becoming', 'made', 'moreover', 'few', 'three', 'until', 'when', 'whereas', '‘d', '’ll', 're', 'even', 'empty', 'nine', 'only', 'have', 'but', 'everything', 'anything', 'formerly', 'in', 'into', 'twelve', 'whither', 'otherwise', 'could', '’s', 'elsewhere', 'hereupon', 'most', 'therein', 'whereafter', 'onto', 'behind', 'myself', \"'ll\", 'each', '’re', 'along', 'such', 'she', 'since', 'down', 'thence', 'over', 'without', 'up', 'during', 'used', 'at', 'go', 'so', 'become', 'yourselves', 'n’t', 'part', 'with', 'although', 'various', 'except', 'i', 'four', 'because', 'meanwhile', 'neither', 'ours', 'ten', 'therefore', 'former', 'whoever', 'after', 'this', 'will', 'own', 'yourself', 'amongst', 'forty', 'call', 'out', 'anywhere', '‘m', 'against', 'perhaps', 'done', 'were', 'eight', 'they', 'anyone', 'beside', 'within', 'whereby', 'mine', \"'ve\", 'just', 'no', 'another', 'for', 'eleven', '’ve', 'its', 'you', 'afterwards', 'under', \"'s\", 'ever', 'seemed', 'some', 'thru', 'rather', 'top', 'very', 'whom', 'enough', '‘ve', 'around', 'now', 'put', 'ca', 'do', 'yet', 'together', 'beforehand', 'else', 'nor', 'see', 'your', 'there', 'does', 'fifty', 'herself', 'using', 'my', 'a', 'third', 'between', 'again', 'also', 'us', 'should', 'well', 'her', 'where', 'seem', 'then', 'name', 'whence', 'had', '‘re', 'six', 'itself', 'less', 'none', 'them', 'ourselves', 'below', 'somewhere', 'throughout', 'must', 'already', 'nobody', 'serious', 'cannot', 'too', 'to', 'whereupon', 'herein', 'towards', 'indeed', 'from', 'twenty', 'every', 'still', 'fifteen', 'n‘t', 'doing', 'of', 'whenever', 'who', 'both', 'always', 'other', 'often', 'has', 'seeming', 'everywhere', 'than', 'the', 'those', 'via', \"n't\", \"'d\", '‘s', 'whole', 'before', '’m', 'least', 'that', 'one', 'many', 'seems'}\n"
     ]
    }
   ],
   "source": [
    "print(nlp.Defaults.stop_words)\n",
    "\n",
    "# If you want to change the list, use the following methods, \n",
    "# but note that you will need to save your model and reload it in the future.\n",
    "# https://spacy.io/usage/v2#migrating-saving-loading\n",
    "\n",
    "# nlp.Defaults.stop_words.add(\"across\")\n",
    "# nlp.Defaults.stop_words.remove(\"above\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Save or Load your Model\n",
    "\n",
    "If the default model works for you, there is no need to save it.  However, if you have modified the model, be sure to save it and reload it next time you analyze similar text.\n",
    "\n",
    "Save the model\n",
    "\n",
    "```python\n",
    "some_dir = '/path/to/directory' \n",
    "nlp.to_disk(some_dir)\n",
    "```\n",
    "\n",
    "Load the model\n",
    "\n",
    "```python\n",
    "nlp = spacy.load(some_dir)\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Examine an Article and find Named Entities\n",
    "\n",
    "Source: https://www.techinasia.com/yellow-messenger-banks-20m\n",
    "\n",
    "Let's use a larger model ('en_core_web_lg') to help interpret the article."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('yellow.txt', 'r') as ft:\n",
    "    text = ft.read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "nlp = spacy.load('en_core_web_lg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Global demand for conversational AI systems has become urgent and vast. According to research from advisory firm Gartner, one in every three companies worldwide has already integrated the technology into their operations.\n",
      "\n",
      "India-based Yellow Messenger, a startup that provides businesses with an AI chatbot for customer engagement, said it has raised US$20 million in series B money to capture more of the growing market.\n",
      "\n",
      "The new funding round, which was led by Lightspeed Venture Partners and Lightspeed India, bumps up the company’s total funding to US$24 million, according to a statement.\n",
      "\n",
      "Yellow Messenger looks to use the fresh capital to fuel international growth across Latin America and Asia Pacific, as well as new regions such as the US and Europe.\n",
      "\n",
      "In addition, it plans to invest further in product innovation, which includes improving its bot’s multilingual voice capabilities and expanding enterprise integrations. Currently, its chatbots are available in over 120 languages, including Bahasa, Bengali, Cantonese, English, Hindi, and Thai.\n",
      "\n",
      "The startup is also looking to launch a developer marketplace for virtual assistants, which will enable third-party developers to create, launch, and distribute their own chatbots to Yellow Messenger clients.\n",
      "\n",
      "Through a partnership with Facebook Messenger, the company said it has recently been appointed by the National Health Authority of India to provide state governments with chatbots to help with citizen engagement amid the Covid-19 pandemic.\n",
      "\n",
      "Raghu Ravinutala, CEO and co-founder of Yellow Messenger, said that at this time, the startup has seen a surge in global demand from the banking, healthcare, food and beverage, retail, and ecommerce sectors as a result of the crisis. In response, the company has deployed special chatbots for enterprises tailored to drive business continuity.\n",
      "\n",
      "Yellow Messenger was founded in 2017. It claims to have been growing 5x in bookings year on year since its establishment. It has over 100 clients globally, including companies such as Accenture, Flipkart, Grab, and Xiaomi India.\n"
     ]
    }
   ],
   "source": [
    "doc = nlp(text)\n",
    "print(doc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Print the sentences"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Global demand for conversational AI systems has become urgent and vast.\n",
      "According to research from advisory firm Gartner, one in every three companies worldwide has already integrated the technology into their operations.\n",
      "\n",
      "\n",
      "India-based Yellow Messenger, a startup that provides businesses with an AI chatbot for customer engagement, said it has raised US$20 million in series B money to capture more of the growing market.\n",
      "\n",
      "\n",
      "The new funding round, which was led by Lightspeed Venture Partners and Lightspeed India, bumps up the company’s total funding to US$24 million, according to a statement.\n",
      "\n",
      "\n",
      "Yellow Messenger looks to use the fresh capital to fuel international growth across Latin America and Asia Pacific, as well as new regions such as the US and Europe.\n",
      "\n",
      "\n",
      "In addition, it plans to invest further in product innovation, which includes improving its bot’s multilingual voice capabilities and expanding enterprise integrations.\n",
      "Currently, its chatbots are available in over 120 languages, including Bahasa, Bengali, Cantonese, English, Hindi, and Thai.\n",
      "\n",
      "\n",
      "The startup is also looking to launch a developer marketplace for virtual assistants, which will enable third-party developers to create, launch, and distribute their own chatbots to Yellow Messenger clients.\n",
      "\n",
      "\n",
      "Through a partnership with Facebook Messenger, the company said it has recently been appointed by the National Health Authority of India to provide state governments with chatbots to help with citizen engagement amid the Covid-19 pandemic.\n",
      "\n",
      "\n",
      "Raghu Ravinutala, CEO and co-founder of Yellow Messenger, said that at this time, the startup has seen a surge in global demand from the banking, healthcare, food and beverage, retail, and ecommerce sectors as a result of the crisis.\n",
      "In response, the company has deployed special chatbots for enterprises tailored to drive business continuity.\n",
      "\n",
      "\n",
      "Yellow Messenger was founded in 2017.\n",
      "It claims to have been growing 5x in bookings year on year since its establishment.\n",
      "It has over 100 clients globally, including companies such as Accenture, Flipkart, Grab, and Xiaomi India.\n"
     ]
    }
   ],
   "source": [
    "for sent in doc.sents:\n",
    "    print(sent)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Global demand for conversational AI systems has become urgent and vast.\n",
      "Global\n",
      "ADJ\n"
     ]
    }
   ],
   "source": [
    "sents_l = list(doc.sents)\n",
    "print(sents_l[0])\n",
    "print(sents_l[0][0])\n",
    "print(sents_l[0][0].pos_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualize the entities in the article"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<mark class=\"entity\" style=\"background: #ff9561; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
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       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">LOC</span>\n",
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       "    Bahasa\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">LANGUAGE</span>\n",
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       "    Bengali\n",
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       "    Cantonese\n",
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       "    English\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">LANGUAGE</span>\n",
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       ", \n",
       "<mark class=\"entity\" style=\"background: #ff8197; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Hindi\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">LANGUAGE</span>\n",
       "</mark>\n",
       ", and \n",
       "<mark class=\"entity\" style=\"background: #c887fb; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Thai\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">NORP</span>\n",
       "</mark>\n",
       ".</br></br>The startup is also looking to launch a developer marketplace for virtual assistants, which will enable \n",
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       "    third\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">ORDINAL</span>\n",
       "</mark>\n",
       "-party developers to create, launch, and distribute their own chatbots to \n",
       "<mark class=\"entity\" style=\"background: #bfeeb7; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Yellow Messenger\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">PRODUCT</span>\n",
       "</mark>\n",
       " clients.</br></br>Through a partnership with \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Facebook Messenger\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       ", the company said it has recently been appointed by \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    the National Health Authority of India\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       " to provide state governments with chatbots to help with citizen engagement amid the Covid-19 pandemic.</br></br>\n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Raghu Ravinutala\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       ", CEO and co-founder of \n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Yellow Messenger\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       ", said that at this time, the startup has seen a surge in global demand from the banking, healthcare, food and beverage, retail, and ecommerce sectors as a result of the crisis. In response, the company has deployed special chatbots for enterprises tailored to drive business continuity.</br></br>\n",
       "<mark class=\"entity\" style=\"background: #bfeeb7; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Yellow Messenger\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">PRODUCT</span>\n",
       "</mark>\n",
       " was founded in \n",
       "<mark class=\"entity\" style=\"background: #bfe1d9; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    2017\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">DATE</span>\n",
       "</mark>\n",
       ". It claims to have been growing \n",
       "<mark class=\"entity\" style=\"background: #e4e7d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    5x\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">CARDINAL</span>\n",
       "</mark>\n",
       " in bookings year on \n",
       "<mark class=\"entity\" style=\"background: #bfe1d9; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    year\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">DATE</span>\n",
       "</mark>\n",
       " since its establishment. It has \n",
       "<mark class=\"entity\" style=\"background: #e4e7d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    over 100\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">CARDINAL</span>\n",
       "</mark>\n",
       " clients globally, including companies such as \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Accenture\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       ", \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Flipkart\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       ", Grab, and Xiaomi \n",
       "<mark class=\"entity\" style=\"background: #feca74; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    India\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">GPE</span>\n",
       "</mark>\n",
       ".</div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "displacy.render(doc, style='ent')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Entity descriptions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "entity                                             label      description\n",
      "Gartner                                            ORG        Companies, agencies, institutions, etc.\n",
      "three                                              CARDINAL   Numerals that do not fall under another type\n",
      "India                                              GPE        Countries, cities, states\n",
      "Yellow Messenger                                   PRODUCT    Objects, vehicles, foods, etc. (not services)\n",
      "US$20 million                                      MONEY      Monetary values, including unit\n",
      "Lightspeed Venture Partners                        ORG        Companies, agencies, institutions, etc.\n",
      "Lightspeed India                                   ORG        Companies, agencies, institutions, etc.\n",
      "US$24 million                                      MONEY      Monetary values, including unit\n",
      "Yellow Messenger                                   PRODUCT    Objects, vehicles, foods, etc. (not services)\n",
      "Latin America                                      LOC        Non-GPE locations, mountain ranges, bodies of water\n",
      "Asia Pacific                                       LOC        Non-GPE locations, mountain ranges, bodies of water\n",
      "US                                                 GPE        Countries, cities, states\n",
      "Europe                                             LOC        Non-GPE locations, mountain ranges, bodies of water\n",
      "over 120                                           CARDINAL   Numerals that do not fall under another type\n",
      "Bahasa                                             LANGUAGE   Any named language\n",
      "Bengali                                            LANGUAGE   Any named language\n",
      "Cantonese                                          LANGUAGE   Any named language\n",
      "English                                            LANGUAGE   Any named language\n",
      "Hindi                                              LANGUAGE   Any named language\n",
      "Thai                                               NORP       Nationalities or religious or political groups\n",
      "third                                              ORDINAL    \"first\", \"second\", etc.\n",
      "Yellow Messenger                                   PRODUCT    Objects, vehicles, foods, etc. (not services)\n",
      "Facebook Messenger                                 ORG        Companies, agencies, institutions, etc.\n",
      "the National Health Authority of India             ORG        Companies, agencies, institutions, etc.\n",
      "Raghu Ravinutala                                   PERSON     People, including fictional\n",
      "Yellow Messenger                                   PERSON     People, including fictional\n",
      "Yellow Messenger                                   PRODUCT    Objects, vehicles, foods, etc. (not services)\n",
      "2017                                               DATE       Absolute or relative dates or periods\n",
      "5x                                                 CARDINAL   Numerals that do not fall under another type\n",
      "year                                               DATE       Absolute or relative dates or periods\n",
      "over 100                                           CARDINAL   Numerals that do not fall under another type\n",
      "Accenture                                          ORG        Companies, agencies, institutions, etc.\n",
      "Flipkart                                           ORG        Companies, agencies, institutions, etc.\n",
      "India                                              GPE        Countries, cities, states\n"
     ]
    }
   ],
   "source": [
    "print(f'{\"entity\":<50} {\"label\":<10} description')\n",
    "for ent in doc.ents:\n",
    "    print(f'{ent.text:<50} {ent.label_:<10} {spacy.explain(ent.label_)}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Improve the model\n",
    "\n",
    "One of several options: start with pretrained model and continue training with new data specific to the project.  This will push the model in the direction that helps the predictions without the need to make a huge training dataset.\n",
    "\n",
    "#### spaCy likes to be helpful...\n",
    "\n",
    "See step-by-step guides and code examples here: https://spacy.io/usage/training\n",
    "\n",
    "More examples and code snippets: https://spacy.io/usage/spacy-101#lightning-tour"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "https://spacy.io/usage/training#example-train-ner"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded model 'en_core_web_lg'\n",
      "Losses {'ner': 7.118844249256654}\n",
      "Losses {'ner': 11.107813135469769}\n",
      "Losses {'ner': 8.745673401281238}\n",
      "Losses {'ner': 14.736164212226868}\n",
      "Losses {'ner': 5.0930669559165835}\n",
      "Losses {'ner': 6.959456860669889}\n",
      "Losses {'ner': 7.290158496180084}\n",
      "Losses {'ner': 4.798211799934506}\n",
      "Losses {'ner': 8.544850718986709}\n",
      "Losses {'ner': 9.808804122221773}\n",
      "Losses {'ner': 8.236316859722137}\n",
      "Losses {'ner': 7.933806814311538}\n",
      "Losses {'ner': 8.6347374424804}\n",
      "Losses {'ner': 9.648479722440243}\n",
      "Losses {'ner': 4.750107342377305}\n",
      "Losses {'ner': 0.33442628161992616}\n",
      "Losses {'ner': 4.814998884452507}\n",
      "Losses {'ner': 4.08441180549562}\n",
      "Losses {'ner': 4.000605963170528}\n",
      "Losses {'ner': 7.6869559762999415}\n",
      "Losses {'ner': 4.219804003834724}\n",
      "Losses {'ner': 5.7494849727954715}\n",
      "Losses {'ner': 5.676537957690016}\n",
      "Losses {'ner': 3.996034004725516}\n",
      "Losses {'ner': 3.1310989499179414}\n",
      "Losses {'ner': 3.683252577331757}\n",
      "Losses {'ner': 3.6610784861259162}\n",
      "Losses {'ner': 5.301109535503201}\n",
      "Losses {'ner': 4.9525566367738065}\n",
      "Losses {'ner': 2.715449842387443}\n",
      "Losses {'ner': 7.883019259024877}\n",
      "Losses {'ner': 0.4694980712629331}\n",
      "Losses {'ner': 2.4512517324183136}\n",
      "Losses {'ner': 0.290709927541684}\n",
      "Losses {'ner': 2.6199443268269533}\n",
      "Losses {'ner': 1.3849976296769455}\n",
      "Losses {'ner': 4.129210279788822}\n",
      "Losses {'ner': 2.705864570918493}\n",
      "Losses {'ner': 0.18660893429569114}\n",
      "Losses {'ner': 1.7489647193579003}\n",
      "Losses {'ner': 1.4315405806358967}\n",
      "Losses {'ner': 2.0698049994592793}\n",
      "Losses {'ner': 4.797542156142299}\n",
      "Losses {'ner': 0.06645233265589923}\n",
      "Losses {'ner': 2.5374095790321007}\n",
      "Losses {'ner': 2.3610081243768946}\n",
      "Losses {'ner': 0.9197468274372724}\n",
      "Losses {'ner': 3.0831703402800485}\n",
      "Losses {'ner': 1.792510544074048}\n",
      "Losses {'ner': 2.8323332448217116}\n",
      "Losses {'ner': 1.2016415313100879}\n",
      "Losses {'ner': 0.3893110554326995}\n",
      "Losses {'ner': 0.8121316590659262}\n",
      "Losses {'ner': 3.020052748584135}\n",
      "Losses {'ner': 0.014557881528162397}\n",
      "Losses {'ner': 5.813625403628521}\n",
      "Losses {'ner': 0.009265708643852122}\n",
      "Losses {'ner': 1.967037046139012}\n",
      "Losses {'ner': 0.5539648124995438}\n",
      "Losses {'ner': 3.764281012048741}\n",
      "Losses {'ner': 3.715599317589316}\n",
      "Losses {'ner': 3.713104609429138}\n",
      "Losses {'ner': 0.1929587801987509}\n",
      "Losses {'ner': 1.3756539106084564}\n",
      "Losses {'ner': 1.1604139785267762}\n",
      "Losses {'ner': 0.0005371986126192496}\n",
      "Losses {'ner': 0.8730570792658199}\n",
      "Losses {'ner': 6.1601691282121465}\n",
      "Losses {'ner': 0.06751051644818062}\n",
      "Losses {'ner': 0.6483131690929365}\n",
      "Losses {'ner': 2.564953226381675}\n",
      "Losses {'ner': 0.835289056729243}\n",
      "Losses {'ner': 0.7971797015343327}\n",
      "Losses {'ner': 0.257289662047242}\n",
      "Losses {'ner': 3.0695758750532036}\n",
      "Losses {'ner': 0.015354297455118626}\n",
      "Losses {'ner': 1.9385690805654434}\n",
      "Losses {'ner': 1.6416864926121328}\n",
      "Losses {'ner': 1.16185994905703}\n",
      "Losses {'ner': 1.3251820213338483}\n",
      "Losses {'ner': 1.2196931359643752}\n",
      "Losses {'ner': 1.2547212698700605}\n",
      "Losses {'ner': 0.38348980596398974}\n",
      "Losses {'ner': 0.5091249234795888}\n",
      "Losses {'ner': 2.461523165926262}\n",
      "Losses {'ner': 1.5294416524186758}\n",
      "Losses {'ner': 0.04789092497836833}\n",
      "Losses {'ner': 0.035320577411141585}\n",
      "Losses {'ner': 0.3103942288189767}\n",
      "Losses {'ner': 0.00012134787638753974}\n",
      "Losses {'ner': 0.005729845860201976}\n",
      "Losses {'ner': 2.2008358075127603}\n",
      "Losses {'ner': 1.3897732502798408}\n",
      "Losses {'ner': 1.3826174575430044}\n",
      "Losses {'ner': 0.30322825526786445}\n",
      "Losses {'ner': 0.05251378987878423}\n",
      "Losses {'ner': 1.9828944824150336}\n",
      "Losses {'ner': 0.008241941050599166}\n",
      "Losses {'ner': 0.19699436875670584}\n",
      "Losses {'ner': 0.6385026936787881}\n",
      "Entities [('Yellow Messenger', 'ORG')]\n",
      "Tokens [('The', '', 2), ('co', '', 2), ('-', '', 2), ('founder', '', 2), ('of', '', 2), ('Yellow', 'ORG', 3), ('Messenger', 'ORG', 1), ('said', '', 2), ('some', '', 2), ('things', '', 2), ('.', '', 2)]\n",
      "Entities [('Facebook', 'ORG'), ('Facebook Messenger', 'PRODUCT')]\n",
      "Tokens [('Facebook', 'ORG', 3), ('developed', '', 2), ('the', '', 2), ('service', '', 2), ('Facebook', 'PRODUCT', 3), ('Messenger', 'PRODUCT', 1), ('.', '', 2)]\n",
      "Entities [('Yellow Messenger', 'ORG'), ('India', 'GPE')]\n",
      "Tokens [('Yellow', 'ORG', 3), ('Messenger', 'ORG', 1), ('is', '', 2), ('a', '', 2), ('startup', '', 2), ('in', '', 2), ('India', 'GPE', 3), ('that', '', 2), ('provides', '', 2), ('businesses', '', 2), ('with', '', 2), ('an', '', 2), ('AI', '', 2), ('chatbot', '', 2), ('.', '', 2)]\n",
      "Saved model to /home/eric/spacy-intro/ner_model\n"
     ]
    }
   ],
   "source": [
    "import random\n",
    "from pathlib import Path\n",
    "from spacy.util import minibatch, compounding\n",
    "\n",
    "\n",
    "# training data\n",
    "TRAIN_DATA = [\n",
    "    (\"Yellow Messenger is a startup in India that provides businesses with an AI chatbot.\", {\"entities\": [(0, 16, \"ORG\"), (33, 38, \"GPE\")]}),\n",
    "    (\"The co-founder of Yellow Messenger said some things.\", {\"entities\": [(18, 33, \"ORG\")]}),\n",
    "    (\"Facebook developed the service Facebook Messenger.\", {\"entities\": [(0, 8, \"ORG\"), (31, 49, \"PRODUCT\")]})\n",
    "]\n",
    "\n",
    "\n",
    "def train_ner(model=None, output_dir=None, n_iter=100):\n",
    "    \"\"\"Load the model, set up the pipeline and train the entity recognizer.\"\"\"\n",
    "    if model is not None:\n",
    "        nlp = spacy.load(model)  # load existing spaCy model\n",
    "        print(\"Loaded model '%s'\" % model)\n",
    "    else:\n",
    "        nlp = spacy.blank(\"en\")  # create blank Language class\n",
    "        print(\"Created blank 'en' model\")\n",
    "\n",
    "    # create the built-in pipeline components and add them to the pipeline\n",
    "    # nlp.create_pipe works for built-ins that are registered with spaCy\n",
    "    if \"ner\" not in nlp.pipe_names:\n",
    "        ner = nlp.create_pipe(\"ner\")\n",
    "        nlp.add_pipe(ner, last=True)\n",
    "    # otherwise, get it so we can add labels\n",
    "    else:\n",
    "        ner = nlp.get_pipe(\"ner\")\n",
    "\n",
    "    # add labels\n",
    "    for _, annotations in TRAIN_DATA:\n",
    "        for ent in annotations.get(\"entities\"):\n",
    "            ner.add_label(ent[2])\n",
    "\n",
    "    # get names of other pipes to disable them during training\n",
    "    pipe_exceptions = [\"ner\", \"trf_wordpiecer\", \"trf_tok2vec\"]\n",
    "    other_pipes = [pipe for pipe in nlp.pipe_names if pipe not in pipe_exceptions]\n",
    "    with nlp.disable_pipes(*other_pipes):  # only train NER\n",
    "        # reset and initialize the weights randomly – but only if we're\n",
    "        # training a new model\n",
    "        if model is None:\n",
    "            nlp.begin_training()\n",
    "        for itn in range(n_iter):\n",
    "            random.shuffle(TRAIN_DATA)\n",
    "            losses = {}\n",
    "            # batch up the examples using spaCy's minibatch\n",
    "            batches = minibatch(TRAIN_DATA, size=compounding(4.0, 32.0, 1.001))\n",
    "            for batch in batches:\n",
    "                texts, annotations = zip(*batch)\n",
    "                nlp.update(\n",
    "                    texts,  # batch of texts\n",
    "                    annotations,  # batch of annotations\n",
    "                    drop=0.5,  # dropout - make it harder to memorise data\n",
    "                    losses=losses,\n",
    "                )\n",
    "            print(\"Losses\", losses)\n",
    "\n",
    "    # test the trained model\n",
    "    for text, _ in TRAIN_DATA:\n",
    "        doc = nlp(text)\n",
    "        print(\"Entities\", [(ent.text, ent.label_) for ent in doc.ents])\n",
    "        print(\"Tokens\", [(t.text, t.ent_type_, t.ent_iob) for t in doc])\n",
    "\n",
    "    # save model to output directory\n",
    "    if output_dir is not None:\n",
    "        output_dir = Path(output_dir)\n",
    "        if not output_dir.exists():\n",
    "            output_dir.mkdir()\n",
    "        nlp.to_disk(output_dir)\n",
    "        print(\"Saved model to\", output_dir)\n",
    "\n",
    "\n",
    "new_model_dir = '/home/eric/spacy-intro/ner_model'\n",
    "train_ner(model='en_core_web_lg', output_dir=new_model_dir, n_iter=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"entities\" style=\"line-height: 2.5; direction: ltr\">Global demand for conversational AI systems has become urgent and vast. According to research from advisory firm \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Gartner\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       ", one in every \n",
       "<mark class=\"entity\" style=\"background: #e4e7d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    three\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">CARDINAL</span>\n",
       "</mark>\n",
       " companies worldwide has already integrated the technology into their operations.</br></br>\n",
       "<mark class=\"entity\" style=\"background: #feca74; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    India\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">GPE</span>\n",
       "</mark>\n",
       "-based \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Yellow Messenger\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       ", a startup that provides businesses with an AI chatbot for customer engagement, said it has raised \n",
       "<mark class=\"entity\" style=\"background: #e4e7d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    US$20 million\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">MONEY</span>\n",
       "</mark>\n",
       " in series B money to capture more of the growing market.</br></br>The new funding round, which was led by \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Lightspeed Venture Partners\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       " and \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Lightspeed India\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       ", bumps up the company’s total funding to \n",
       "<mark class=\"entity\" style=\"background: #e4e7d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    US$24 million\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">MONEY</span>\n",
       "</mark>\n",
       ", according to a statement.</br></br>\n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Yellow Messenger\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       " looks to use the fresh capital to fuel international growth across \n",
       "<mark class=\"entity\" style=\"background: #ff9561; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Latin America\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">LOC</span>\n",
       "</mark>\n",
       " and \n",
       "<mark class=\"entity\" style=\"background: #ff9561; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Asia Pacific\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">LOC</span>\n",
       "</mark>\n",
       ", as well as new regions such as the \n",
       "<mark class=\"entity\" style=\"background: #feca74; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    US\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">GPE</span>\n",
       "</mark>\n",
       " and \n",
       "<mark class=\"entity\" style=\"background: #ff9561; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Europe\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">LOC</span>\n",
       "</mark>\n",
       ".</br></br>In addition, it plans to invest further in product innovation, which includes improving its bot’s multilingual voice capabilities and expanding enterprise integrations. Currently, its chatbots are available in over 120 languages, including \n",
       "<mark class=\"entity\" style=\"background: #ff8197; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Bahasa\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">LANGUAGE</span>\n",
       "</mark>\n",
       ", \n",
       "<mark class=\"entity\" style=\"background: #ff8197; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Bengali\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">LANGUAGE</span>\n",
       "</mark>\n",
       ", \n",
       "<mark class=\"entity\" style=\"background: #ff8197; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Cantonese\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">LANGUAGE</span>\n",
       "</mark>\n",
       ", \n",
       "<mark class=\"entity\" style=\"background: #ff8197; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    English\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">LANGUAGE</span>\n",
       "</mark>\n",
       ", \n",
       "<mark class=\"entity\" style=\"background: #ff8197; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Hindi\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">LANGUAGE</span>\n",
       "</mark>\n",
       ", and \n",
       "<mark class=\"entity\" style=\"background: #c887fb; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Thai\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">NORP</span>\n",
       "</mark>\n",
       ".</br></br>The startup is also looking to launch a developer marketplace for virtual assistants, which will enable \n",
       "<mark class=\"entity\" style=\"background: #e4e7d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    third\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">ORDINAL</span>\n",
       "</mark>\n",
       "-party developers to create, launch, and distribute their own chatbots to \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Yellow Messenger\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       " clients.</br></br>Through a partnership with \n",
       "<mark class=\"entity\" style=\"background: #bfeeb7; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Facebook Messenger\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">PRODUCT</span>\n",
       "</mark>\n",
       ", the company said it has recently been appointed by \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    the National Health Authority of India\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       " to provide state governments with chatbots to help with citizen engagement amid the Covid-19 pandemic.</br></br>\n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Raghu Ravinutala\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       ", CEO and co-founder of \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Yellow Messenger\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       ", said that at this time, the startup has seen a surge in global demand from the banking, healthcare, food and beverage, retail, and ecommerce sectors as a result of the crisis. In response, the company has deployed special chatbots for enterprises tailored to drive business continuity.</br></br>\n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Yellow Messenger\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       " was founded in \n",
       "<mark class=\"entity\" style=\"background: #bfe1d9; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    2017\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">DATE</span>\n",
       "</mark>\n",
       ". It claims to have been growing 5x in bookings year on year since its establishment. It has over 100 clients globally, including companies such as \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Accenture\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       ", \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Flipkart\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       ", Grab, and Xiaomi \n",
       "<mark class=\"entity\" style=\"background: #feca74; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    India\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">GPE</span>\n",
       "</mark>\n",
       ".</div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with open('yellow.txt', 'r') as ft:\n",
    "    text = ft.read()\n",
    "\n",
    "nlp = spacy.load(new_model_dir)\n",
    "\n",
    "doc = nlp(text)\n",
    "\n",
    "displacy.render(doc, style='ent')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Results\n",
    "\n",
    "The training helped the model correctly identify Yellow Messenger as a company, and Facebook Messenger is correctly labeled as a product.  As with any data science project, your model should be tuned for the task.  Other ways to improve the results include defining rules that spaCy would use to handle something like labeling Yellow Messenger.  This might be best if your retrained model begins to fail on other labeling that was previously working well.  In other words, don't retrain the model, just make a rule for Yellow Messenger."
   ]
  }
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