{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Jupyter Notebooks & Python Tutorial\n",
    "Shawn Rhoads, Georgetown University (NSCI 526) \n",
    "\n",
    "This tutorial has been adapted from the following resources on Jupyter Notebooks and Python:\n",
    "- Luke Chang's [DartBrains](https://dartbrains.org) \n",
    "- Adam Pritchard's [Markdown Cheatsheet](https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet)\n",
    "- Eshin Jolly's [Jupyter Tutorial](https://github.com/Summer-MIND/mind_2018/tree/master/tutorials/jupyter)\n",
    "- [NumPy Quickstart Tutorial](https://numpy.org/devdocs/user/quickstart.html)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Interactive Coding!\n",
    "We will use Jupyter Notebooks to interface with Python. Rather than keeping code scripts code and execution separate, jupyter integrates both together using the concept of cells. Two main types of cells are **code cells** and **markdown cells**. Cells pair \"snippets\" of code with the output obtained from running them and can contain plots/figure inline alongside code required to generate them\n",
    "\n",
    "**Code cells** contain actual code that you want to run. You can specify a cell as a code cell using the pulldown menu in the toolbar in your Jupyter notebook. Otherwise, you can can hit esc and then y (denoted \"esc, y\") while a cell is selected to specify that it is a code cell. Note that you will have to hit enter after doing this to start editing it. If you want to execute the code in a code cell, hit \"shift + enter.\" Note that code cells are executed in the order you execute them. That is to say, the ordering of the cells for which you hit \"shift + enter\" is the order in which the code is executed. If you did not explicitly execute a cell early in the document, its results are now known to the Python interpreter.\n",
    "\n",
    "**Markdown cells** contain text. The text is written in markdown, a lightweight markup language. You can read about its syntax [here](https://daringfireball.net/projects/markdown/syntax). Note that you can also insert HTML into markdown cells, and this will be rendered properly. As you are typing the contents of these cells, the results appear as text. Hitting \"shift + enter\" renders the text in the formatting you specify. You can specify a cell as being a markdown cell in the Jupyter toolbar, or by hitting \"esc, m\" in the cell. Again, you have to hit enter after using the quick keys to bring the cell into edit mode.\n",
    "\n",
    "In general, when you want to add a new cell, you can use the \"Insert\" pulldown menu from the Jupyter toolbar. The shortcut to insert a cell below is \"esc, b\" and to insert a cell above is \"esc, a.\" Alternatively, you can execute a cell and automatically add a new one below it by hitting \"alt + enter.\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10\n"
     ]
    }
   ],
   "source": [
    "# This is a code cell\n",
    "#Put some code here and get some output below!\n",
    "x = 10\n",
    "print(x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "<font color=red>This is a</font> *markdown* **cell**!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Notebooks of the Future\n",
    "Not just for code:\n",
    "- Markdown, HTML, LateX integration\n",
    "- Slide shows (like this one!)\n",
    "- Keep your notes alongside your analysis routines\n",
    "- Embed images, videos, anything (it's all just HTML + javascript)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### HTML Integration:\n",
    "<table border=\"1\" style=\"width:100\">\n",
    "    \n",
    "<tr>\n",
    "<td><center><b>Var1</b></center></td>\n",
    "<td><center><b>Var2</b></center></td>\n",
    "</tr>\n",
    "<tr>\n",
    "<td><center>Cell 1</center></td>\n",
    "<td><center>Cell 2</center></td>\n",
    " </tr>\n",
    "\n",
    "<tr>\n",
    "<td><center>Cell 3</center></td>\n",
    "<td><center>Cell 4</center></td>\n",
    "</tr>\n",
    "</table>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### LaTeX Integration:\n",
    "Compute the following:<br>\n",
    "$$\\sum_{n=1}^{5}n$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Inserting images from web:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
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RK06DC5KUAYFEBpmGHyssV4MTGE8HGph7fC1PBKyCrkIDERYZSCqOYFIQRxW9XHEKRYUCwrRkEheHpBImqZPDWAl+UAStZAMLqUoHxtVVQhIi5yvi275pb23u7YPxtVYAA/Bm8vlnQQAh+QQFDQAAACzWAAwAKwAgAAAGwcCAcEgsGo8BgXLJZCKfUGFzuoxajVTqdSvNNrlb7xdsFTvJUXMVDVUr2W03/OkWgCMPGLMTI9a5EhdZB0N/W4EYFDQeIiNKBghdamAWfUQLShuSZnNCExgCmklydw8ZM6gzmZtiYJiPTaKGVw4GSjAfFiIPq6OTW6+EQxMZoaxeXJgnJEQlvbNWmJBDgc+kV68MMQM1gta/V8RLtkyy17QuTBQWxebgXBEiIitH0J2F5/fHWfpF9vr/7gXsNHBOnSAAIfkEBQ0ABAAs8wAMAB0AIAAAAkiMjyjL7QmPmy1Gii3EVCc+eQpYiQZZmihjnqvQBi/czrFdv7eer7vfQ/2EQdLQWAQdlUnO0tnMRDvTUPUhAgBwHsCAKwJ7ZgUAIfkEBQ0ABAAsAQEMAB0AIAAABr3AgHBILAqOyGSyyCQqn8imFAqVNqlPKxOr1Bq5Ue8QHBYHyEezEC1QBwxoSavz0hQdnY7nHL8IDCREAAVHFXxkARxHKUQSGQIUDYdgARMYAigKQyVHG2toAQkjfwhDEEcqn4iJRwdCE48MkpNcry6YLAGcAp6qlAEDpwYIwX+pvrUBACatlrhjoMqwmMwCrtCrQqdIw07RQrtHmd7ZAY5IjOS/QwtHJ4HqyWZsbvRq9vPfYvj7+l78WgawCQIAIfkEBQ0ABgAsEAEMAB0AIAAABqDAgHBIJAqOyKSyyBwqn8lmE0qVMqlQaxH7LE46sMqWGyVOMILNmHz0oglrdlFCo8XiZK2R3Q7IOh02Nh13e3xCBUpqhnJ+dS1Hi058Al4uaXhcbpiMeWZokkKUlUMAZ5yTh6UTGaiilJuhAaNerbK0ZjNpAACpchIrwTJoKMErDbOwiVgMLLQcXCgKuHrJqtXUetla21bdTQPfU7DV1mxBACH5BAUNAAcALB4BDAAdACAAAAbMwIBwSCwKjshkssgkKp/IphQKlTapTysTq7RyKJ2GkLuUFgQGxJh8tC7QpDXbejbEA+w2caARvu1yZEMmGEcUHn93eQIBAy1UgHh5ASVILyIjSJGLEiFHKUIDEEebeRMuAgwgQxOFpWwORxtEEpmvZJUCBLS2inm5u0O1cIFcubPCvcVYrQIoCqwZxJJsEhdHakIcpL5zbwInMQMmmt1kANaQagCLQsNIKI8U5lxEESIiK1eTWk78/cuoABzSbiA1QQPZ/QNYEOCARUEAACH5BAUGAAQALCwBDAAeACAAAAbEwIBwSCwKjsikssgkKp/JphRKlTapUCsT+9QauVHvEBwWB8hIsxB9VJ/ZRBkMSfE44QEJBLrRrPEFSC8iLUgpf2gBDkcnMUMOGAIUDW+JC0eHRIECKpVkAXsCBjAzpaVHFZ5gEiNgqWwCrEcfFhYitbUeJKpcCSECJ7tWsAGbqcNwJUcMlEIAeSuIn7LAHiwSEYUMILxYzxMuVAws3VVCEoVKMHblWUQSIvErzdJgbsRq+GaRiflsz2b0eRkAa4AZDbCCAAAh+QQFBgAcACw7AQwAHQAgAAAGu8CAcEgsCo7IZLLIJCqfyKYUCpU2qU8rE6vUGrlR7xAcFgfIR7MQLVCf0UPHSGCgHxROOMAEZTTGcA5IKBYPSASAZAEFRwQaQoJ0CGtoEhkCJyREjAIVlGQTGAIoLEQlRxufYBOXqaaoqlyhAq5Dp7SxWLOkr7hvoKIUfwEAAQtHKblUCSHIQ5ZHKspVtwJ3ERdHvL9gAQkQVNLTWd6GSQyaid3PIu0rW3BqbG7z8vFiAPX4+mL8WgNsggAAIfkEBRMABAAsSgEMAB0AIAAAAkiMjyjL7QmPmy1Gii3EVCc+eQpYiQZZmihjnqvQBi/czrFdv7eer7vfQ/2EQdLQWAQdlUnO0tnMRDvTUPUhAgBwHsCAKwJ7ZgUAIfkEBQ0AHAAsWAEMAB0AIAAABrvAgHBILAqOyGSyyCQqn8imFAqVNqlPKxOr1Bq5Ue8QHBYHyEezEC1Qn9FDx0hgoB8UTjjABGU0xnAOSCgWD0gEgGQBBUcEGkKCdAhraBIZAickRIwCFZRkExgCKCxEJUcbn2ATl6mmqKpcoQKuQ6e0sVizpK+4b6CiFH8BAAELRym5VAkhyEOWRyrKVbcCdxEXR7y/YAEJEFTS01nehkkMmondzyLtK1twamxu8/LxYgD1+Ppi/FoDbIIAACH5BAUGAAQALGcBDAAcACAAAAamwIBwSCQKjshkssgcKp/IZhMKlTKpT2sRqywOTDAKLHMQcpfDAUS5MZ+PRMfR8KLZPO43sXSsXN8CRBxHKn9vEi0dHUiKimUBgAITXG2QgBImNDQZR3WaeJZ6QwsCJySGZ0SkBqdbgKoCrKhcsKazWLCyRACRua1Gr6Oxv07BQqvEeanCusCiQgWxCLdUtcmhy1rKtNrbuN3Y3N294OTaA+ba6VqRQQAh+QQFDQAEACx1AQwAHQAgAAACSIyPKMvtCY+bLUaKLcRUJz55CliJBlmaKGOeq9AGL9zOsV2/t56vu99D/YRB0tBYBB2VSc7S2cxEO9NQ9SECAHAewIArAntmBQAh+QQFDQAHACyDAQwAHQAgAAAGqsCAcEgsCo7IZLLIJCqfyKYUCpU2qU8rE6vUGrlR7xAcFgfIR7MQLSgCrGxZZ34kREZ10BpdAG/2ZH0CKA8YRwwWhyxnaAsCBioBjgKRfScNjGSOBiSSAiedHI8ImWCbnX2cASWPnWynASatq7Ovs6yqrKClXLC4nb+8WL63tY3FucaayMDKYKmkutGjwlSiu7rNFK5oatVVamze4uHdZgDkYujmYgPpYmxBACH5BAUGAAQALJEBDAAeACAAAAbFwIBwSCwKjsikssgkKp/JphRKlTapUCsT+9QauVHvEBwWB8hIsxB9VJ/ZRBkMSfE44QEJBLrRrPEFSC8iLUgpf2gBDkcnMUMOGAIUDW+JC0eHRIECKpVkAXsCBjAzpaVHFZ5gEiNgqWwCrEcfFhYitbUeJKpcCSECJ7tWsAGbqcNwJUcMlEIAeSuIn7LAHiwSEYUMILxYQhMuVAws3VVCEoVKMHblWUQSIvErzdJgbsRq+GaRaM9msP7EwBpgZoA+LxpgBQEAIfkEBQ0ABAAsoAEMAB0AIAAAAkiMjynL3QmRmyxaSm3EU0PueApYiQdZmgG6qAYruCsrwzXt2jmu6j1v8gWBImGR6DEmkRplk3mBbqQf6gjlAjgjWuuhi1UNYAUAIfkEBQYAKAAsrwEMAB0AIAAABsDAgHBIJAqOyKSyyBwqn8lmE0qVMqlQaxH71Bq5Ua8QHBaTkeLxWZAOrNkBySPZQXzPgckF6nGuBxBHBh8WI0h2bmsTGAIGiIBHG2pnHJFEE0cMIIlnBUcVRBJ7BiScZAuNiEIShqSmYKgnpUMSIY2lb6gCoLStdrlHB0IAABMZAhQNr1wlmcpClQIEGstYrEcUJAkmSLxvAQ5UBAqTZEIOe0kH1OVgRBEi8c9+eGnf9mtt91oA1VViA/Z5EajlTRAAIfkEBQ0ACQAsvQEMAB0AIAAABsbAgHBILAqOyGSyyCQqn8imFAqVNqlPKxOr1Bq5Ue8QHBYHyEezEC1Qn9EBWeclGiFRDSe8QKUgxntIBh4WLkcoLGtwC0cGfwETF0cqimQBjAIbRBxHmm+WmBVEExiZlWCXAo6jpQQan6iMJyREDkcMiWypAqJDpKawXLsHRCWdp8KYDA0AAQMQRynIWLsCKCQSLUcnecHUmFDS01QBfCc0pY0eeqCq2CLwIF/tBrRWuoz1Wrp8q/eLAmZZGaBLTUEzB8WwCQIAIfkEBQ0ABAAsywEMAB0AIAAABsHAgHBILAqOyGSyyCQqn8imFAqVNqlPKxOr1Bq5Ue8QHBYHyEezEC1Qn9FEGQxJ8TjhAQkEutGs8QVILyItSCl/ZAEORycxQw4YAhQNb4kLR4dEgQIqlWABewIGMDOlpUcVnlwSI2CpbKxHHyIWtBa3HiSqWAkhorpWbAGXAqnBcCVHDJRCAHkriJ+xAiceLBIRhQwgu1RCEy5UDCzdVUJ6TzB25VlEEiLwK8zRXG7CavdmkWQD+Hhm+bwMCKhFA5sgACH5BAUNAAkALNoBDAAdACAAAAajwIBwSCQKjsikssgcKp/JZhNKlTKpUGsR+9QauVGvEBwWk5Hi8VmQDqzZsk6n0cIcYTHnOlCgGhBqZ3xIBh8WdgIEgWQBC0cnJEITdgwNbnuOAgdEEAIGkW+NRxVEjpCXgo5/pZ6AoaqRQ7CojLOynqCYAqe3n7Rgor69kQa6wkKzoX3Hwa57HLuxyNG/XG2hadhme9ncWgAA2lYAA+Ja5lZvQQAh+QQFBgAGACzoAQwAHQAgAAAGosCAcEgsCo7IZLLIJCqfyKYUCpU2qU8rE6tkTjqwipEbLU4wgs2YLCgCzgLCmsyU0GixOVerxw5lHTaBHR59VEIABUpqTmxtQjJ3LUeMQ46PQ28uaYZVZpuVQpdeoJ1ZZhmcjWxucKEBo2Zor7FEE6m0jl6zpl0BEivBMmgowSINsLoBilgMLLELXCgKtXzJrNaiytnVfN1WAN9W4lPbfAOXQQAh+QQFDQAFACz3AQwAHQAgAAAGocCAcEgkCo7IpLLIHCqfyWYTSpUyqVBrEfvUGrlRrxAcFpOR4vFZkA6sBZJWx1ODHQ0vlnM9wVAJGmpnExlIKBYtdyqCZH1HG0MLRymMYBMuAhQNQw6PlVyODHpChAIHn1iXAgREjpBufJivpIWvb6qzAa6oVLitsrxQvkPDt8DEx7d+ubuwg7W/ArZrbW/V1GnW2dhm3FYAA9paAM5k12dBACH5BAUGABYALAUCDAAdACAAAAbiwIBwSCwKjshkssgkKp/IphQKlTapTysTq9QauVHvEBwWB8hHsxAtUJ/RQxPmOPPIOq/GGj5oUQ0Ie2QBJUgEIhBIBiSCYBIhRwdDBUeLjVwTGQIUekITc5ZvZA5HG0QSIwKhbIUCpkOoqoyiYK2vQrGraKSup6m6ZJ8CDCBDwsCOqQIVQwuVs2wBHEgvEX7Pl1gACYlQyFwBAAMmSDMfqSid0UMDCQkBCejFtODwRbwoCtlUARIXFB9WSJBzhNm+KgkuQCGgYQyfB5qQnPBABMA6Ie4iRGBiEY6ZjoPMDGATBAAh+QQFBgAEACwUAgwAHQAgAAACSIyPKMvtCY+bLUaKLcRUJz55CliJBlmaKGOeq9AGL9zOsV2/t56vu99D/YRB0tBYBB2VSc7S2cxEO9NQ9SECAHAewIArAntmBQAh+QQFDQAFACwiAgwAHQAgAAAGvcCAcEgsCo7IZLLIJCqfyKYUCpU2qU8rE6vUGrlR7xAcFgfIR7MQLVCf0QCJqIVBUj4gJzpQolJIY3t9Bh00Ig91AgSBZAETFnlDExkCJ4BvjVILAgaXbEIDIh0zJzAzR51rexMXVJaqZAMQSC8eIiKtqZhgE3V/AEIAm7psvQIbRBIjnJ5oxotDHKjNZJNHLywSD0jEe5tUBgiwYAEJLUov26+7XENytw1Xe2qf9PNm9fj3XgD5Yv5aBrAJAgAh+QQFFAAEACwxAgwAKwAgAAAGw8CAcEgsGo8BgXLJZCKfUGFzuoxajVTqdSvNNrlb7xcsHLRmL1ZR7CQHJCMBA7RmK93vi5xOtN/xMjQeGnV2eFB+AmAOHY2NLwqFbGAlTAZzkmJgETQ0Dxhyan1+eAlxKKJDiXhwoZlerHGYo4ZuraivWbECuLSTtrKpXbVkt8JJpMC8x6vKDMzJxcG5WlEARhJ6varRYMbUU3gTGXvgY1cRFh4WegIbWN1RBU0nJPDEVgtMKPb3v9Zcmh06InCgOSZBAAAh+QQFDQAEACxOAgwAHAAgAAAGpsCAcEgkCo7IZLLIHCqfyGYTCpUyqU9rEavUGrlRrxAcFpOP4vE5HTgLJK2OhziJV9TkCUawoe/7bWd6fHQZhIF5hoBCg4BujX6Hj3+RjoKUQxMuhACTh4yblomHAAETinhgEhcCKCwBAAAlR6KqIwInJLADELSpXLxHKCQRLUi1XAGzVMhYQiZJJxaszVRDEiIiKxpXa2lubODf3mbkWgPi5WThZ0EAIfkEBRoACQAsXAIMACsAIAAABv/AgHBILBqPAYFyyWQin1Bhc7qMWo1U6nUrzTa5W+8XbBU7yVFzFQ1VK9ltN/zpFgRknZdotEQ1hngdMUYmHR0kSXIFWRQIQiVKBBpEEhkCBoh1AYtKBh4WLkooLAESFwInjkOQAgRdagELnaoTpwIqQrICB0MDEEq4ibC6G0QcSsUBExgCKCBCywIMz8JmsUoVRNHJvsBCx7tDmrIGqtCRkwGsxRJ8mOJysieIQw5KDKSlpxQN9q1E47Bps5QsFzZd2eANU8JrFTJtSmCE4gcw3r0GAAJ0E5CCyMaHFReKIiGhhZITf4iwumTulTVdVDoWMSVKQRFNi07QYNbJg5BCjERCKJEZ8uUlkiKSUjNCcx4Wi++sgCtYVMy1qEgiWDDp7SmsReWgcALp1ajTJ7oMHLB5RJMVoFfczilrdS5dL0EAACH5BAUNAAUALHgCDAAeACAAAAajwIBwSCwKjsikssgkKp/JphRKlTapUCsT+9QaudGhxGIhXcFIYulYOaMFarYbHRe0mYa3YLDodFxHMH5+MUJ6AhIXXCmGegEWNDQjRx2RkSQAAYd1d0OZm0NrdnNgnKRcpluOoXKqb6lfr0MORwenWEQTgAS3VUO6Ry8iww2NskIALU93oMgJJhlJzKtexnTV1qXYmtTVzV4A31rh3ePiVgOHQQAh+QQFBgAEACyHAgwAHQAgAAAGxMCAcEgsCo7IZLLIJCqfyKYUCpU2qU8rE6vUGrlR7xAcFgfIR7MQLVCf0cNJC3M0vBpOeKA2e84QY3ATSBQWFhdHFHhvZAEQRxsKQgOPAilraBMZAooAQgATdCgajGAOmwIwM6sUfQIoLKVcJWAMsWy0ryKGux4WIh6YZA6QXmyhr7FWbBIjRxVEnhEgwmABuQIvKwMRJjCW1VxCC1jQslhDMi5KdiTh6EQRIvMRX41qbG75+HpiAPteAPzrFxCgFw1sggAAIfkEBQ0ABAAslgIMAB0AIAAABpfAgHBIJAqOyKSyyBwqn8lmE0qVMqlQaxH71Bq5Ua8QHBaTkeLxWVAESNfsgKTVqcwxR4onABdOjjAZSgwgfQETLkkdNB0ChIaIRycIAQAAEx4akIkCFU14Z36JFA1Ta354KAqmoYd4G2+nrgKwrGR+grVXshO5sa0Tr7+3s7pbvInGX61mss3MXobPxFpu0loD11raVnBBACH5BAUGAAQALKQCDAAdACAAAAJIjI8py90JkZssWkptxFND7ngKWIkHWZoBuqgGK7grK8M17do5ruo9b/IFgSJhkegxJpEaZZN5gW6kH+oI5QI4I1rroYtVDWAFACH5BAUGAAUALLMCDAAcACAAAAagwIBwSCQKjshkssgcKp/IZhMKlTKpT2sRq9QauVGvEBwWk4/i8TkdOAskrY6nBjsaXizneYKhEjRqZBMZSCgWLXYqgWB8RxtDC0cpi1wTLgIUDUMOjpRYjQx5QoMCB55UlgIERI2PbXt9rqOErm6psgGtp1C3rJe1e7++AsCCwkO9r4KxrMzKjLSs0c9cbG7Wa2nX2tlm3VYAA9veZNhkQQAh+QQFBgAUACzBAgwAHQAgAAAGu8CAcEgkCo7IpLLIHCqfyWYTSpUyqVBrEfvUDgHcpVcYjo4DZeQZnRas226hYyQw1A8KZzsAMEEZDWR7DkgoFg9IBIJpAQVHBBpyRwYIbGkSGQInJESOAhWWZRMYAigsRCVHG6FhowKrqKqsXK6wQ6mvs1iuprG5cBOZgEIAAQtHKbpUCRDIAM+YRyrKWX5HeBEXR71wAcxU09Rd3i1KDJyLZUQSIu0rW3tn3fLxY/NaxfdaA/pa/VZwggAAIfkEBQ0ABQAszwIMAB0AIAAABqLAgHBILAqOyGSyyCQqn8imFAqVNqlPKxOr1Bq50aHEYiFdwUdi6Vg5o9VsNxguaDMNaMFg0em4jjB9fTFCeQISF1wphXkBFjQ0I0cdkJAkAAGGdHZDmJpDa3VyXJujWKVbjaBxqW+roq1zQw5HB6ZURBN/BLdVQ7pHLyLDDYyuQgAtT3afyAkmGUnMql7GstWZ1NXN29paANzf4Vbg3lYDhkEAIfkEBQ0ACgAs3QIMACwAIAAABv/AgHBILBqPQoFyyWQin9Bhc7qMWo9U6nUrzTa5XO+Xa5oxSFCxk1sQGBBptRK8cKOf8jnbHpfT+QEDGkZ5AkQyMEsUHkVtJyIdGEood0l5QhIQVBuDQnVUb11+AW1KLyItSylDpUoHFhlKDA2Wfg5KJzFDDpIUtAGfoQETF0oVtWrASqtEpSpCpRtEJUrSAYUBmm4wM93dxp7gQxOSBMhiEiNqx8oCz+OSDCDXeemuIhYiHvgWHnd1woRMmDSvUIIQAk5UQvKJncByg7CVqgAAyqcD06qd8xKAmoBZRSSsGPLJl5AB2phhs5fQAwsJNVpgkBduEgkJqRLewTbMRRY/mqS8OOQZAOcUGIzCnaARS4mBpBuzhBRBdcU8JBKoirgqKhmYK0S/9vEqdqyYimXx5EGbFsvatkgKDYDrVk4QACH5BAUNACgALPsCDAAdACAAAAbAwIBwSCQKjsikssgcKp/JZhNKlTKpUGsR+9QauVGvEBwWk5Hi8VmQDqzZAckj2UF8z4HJBepxrgcQRwYfFiNIdm5rExgCBoiARxtqZxyRRBNHDCCJZwVHFUQSewYknGQLjYhCEoakpmCoJ6VDEiGNpW+oAqC0rXa5RwdCAAATGQIUDa9cJZnKQpUCBBrLWKxHFCQJJki8bwEOVAQKk2RCDntJB9TlYEQRIvHPfnhp3/ZrbfdaANVVYgP2eRGo5U0QACH5BAUGABwALAkDDAAdACAAAAa7wIBwSCwKjshkssgkKp/IphQKlTapTysTq9QauVHvEBwWB8hHsxAtUJ/RQ8dIYKAfFE44wARlNMZwDkgoFg9IBIBkAQVHBBpCgnQIa2gSGQInJESMAhWUZBMYAigsRCVHG59gE5eppqiqXKECrkOntLFYs6SvuG+gohR/AQABC0cpuVQJIchDlkcqylW3AncRF0e8v2ABCRBU0tNZ3oZJDJqJ3c8i7StbcGpsbvPy8WIA9fj6YvxaA2yCAAAh+QQFBgAGACwYAwwAHQAgAAAGscCAcEgkCo7IpLLIHCqfyWYTSpUyqVBrEfsMmDKUmJW7XBwrYzIyYBagpep1+93ExAXss9Uez7uHEi0dMGh3eHNCEiNHDA0Bhn5oEhdHKI6Pd5GTlSBOmW0flAIoLEafSgylpn1tSXRCkK1IJySran4bARCVCp6sehMuRwe+twV6ASVIKrCnf0JtjZh9x88BikcEGpAcyEIOfCqQWsVk5OVc58196uPn7lYAA/Ba9GlxQQAh+QQFDQAEACwmAwwAHQAgAAACSIyPKcvdCZGbLFpKbcRTQ+54CliJB1maAbqoBiu4KyvDNe3aOa7qPW/yBYEiYZHoMSaRGmWTeYFupB/qCOUCOCNa66GLVQ1gBQAh+QQFBgAPACwzAwwAHgAgAAAG18CAcEgsBjCCpHKpNDqHzGjz6ZRKqVUrE2vUbrlE7xIcFifJULMALVSv2e5Jp1N5yjueeJLwdCQ3bhIjAgwgTiZJFW4BBQIGJE6NBgiLiAJ1ExkzBwGChCCLDkicJUkoChNIGwGLEhkCfI0CJyR+l6xqAQMQAigNF0oVHI4IuGZCwwYWGBQtAhu8FA3GYkK2M7B+Bth81F5CmUopruIA3lpCCSFJkwC8SSptuUILpiwBpQLS8sdC+ZwBUvVSwK8anHloFh3slzCXOTKLHoKJ2PDYADAX3QQBACH5BAUNAAQALEMDDAAdACAAAAajwIBwSCQKjsikssgcKp/JZhMDhUqZVevVmF0WTbBOg9tFMgtHBLksOAsMpHWZKaMdFPLuNp8VSlodNoIvY05sR0ITVEhwfFV+DzY0F29xhodMC5WOWkSajZdsmZuhc0WaJ5ZCh4inpKuso6CwmEVoqZxPoycIAAC0ogERKysRLUcexCsgrG2KXRXNARMZ0NJ7wKbY19ux2AHce+FXA+NX5lLNQQAh+QQFBgAEACxRAwwAHQAgAAAGssCAcEgsCo7IZLLIJCqfyKYUCpU2qU8rE6vUGrnRYc3i0VzBx2HiImCAzuihZCRAvbdowXBARyngYA4dg0iDgy9/AXkCJVxuQosTNDQPRycfkzRlkHl7IXWJX3FCc3UsgFxydAyneKMBpSitomCqpqhYtrK4VGqfJyS8VUMFAgYIwllDC0cUHiIiK0OLRBMuSo+KnUMAER0YSLvar17jteWc5F7U6Oap7ezlAPHl9FoDi0EAIfkEBQ0ACAAsYAMMAB0AIAAABqvAgHBIJAqOyKSyyBwqn8lmE0qVMqlQaxH7nHRmBy1XOcEINuIxcpI5p9UCttsKP5bng4FmW5dvajBHBi8sTn1mUAR7AXVxiAIoFi1IKkKNd3MBBUcpln0uAhQNQw5HaIyHAgyFQnJhqHAToAREd6eXoKetZmgAuJkBsnO/usG5nrHHQ8K3n8DMyGq2tbzRY361yo1aRnXchnDf1lzisGrfAAPb3xrr3+7cjUEAIfkEBQYAAwAsbgMMAB0AIAAABqLAgHBILAqOyGSyyCQqn8imFAqVNqlPKxOrZJpgnYaRGy0WBAbEmCxgng2kNZkpox0Ucq42jxVKWh02gi9iTmxtARMYSXB8VH4PNjQXaHGGbEwLlY5VRZqNl3Oem6F6oyeWQ4eIRJ+pQquZpKqHbrOwtadqpX0BESsrES1HHsArIAGxilwVybUTGczOmHu01NXTotix2Nmm1QDc4OJ74bnbh0EAIfkEBRQAAwAsfQMMACsAIAAABq3AgHBILBqPAYFyyWQin1Bhc7qMWo1U6nUrzTa5W+8XbBU7yVFzFQ1VK9ltN/zpFkhaHU8NpjS8WGh1ExhZBBpkghlLKBYtfSqIboNKG0MLSimRahMuAhQNQw6UmmaTDIBCE4oHpGKTBESqApVgibOxhLRcgrm4t7WSvUOTumHBv6nCu5KKxbLFV7zIAcStXs+xzdZZc0h13Uff4EXi40Pl5klyVgDLaunn6/B1QQAh+QQFDQAEACyaAwwAHAAgAAAGr8CAcEgkCo7IZLLIHCqfyGYTCpUyqU9rEavUGrlRrxAcFpOP4vE5HTgLApEHDGnoxL7kxIV6cJ4lexQfFhYdSAhqZAEWd0QLRxuJYFITGAKRbWtwDxkznjOQklwBj1SYbg5IMB8iFg+hAG6lfUMTGZeiWI8nJEQloZlkjwaIQoDAskcUMQMRe8hnlVinZwAOz8oWt9SKQhEiIitTmmbkXm5s6F4AA+paAMGTae7nZ0EAIfkEBQYABAAsqAMMAB0AIAAAAkiMjyjL7QmPmy1Gii3EVCc+eQpYiQZZmihjnqvQBi/czrFdv7eer7vfQ/2EQdLQWAQdlUnO0tnMRDvTUPUhAgBwHsCAKwJ7ZgUAIfkEBQYACAAstgMMAB0AIAAABqTAgHBILAqOyGSyyCQqn8imFAqVNqlPKxOr1Bq5Ue8QHBYHyEezEC1Qn9EBSQvmqcGQL9YYPsFQCRprfBlIKBYdSCqCZAF9RxtDBUcpi2CNhBQNQw5+kG+Mjih6QhOEB5VcjX4ERI6ebJcCnqSdqFiqsq2Er4O5Q662VLizsbygtb/IBnzItL6wpb6kLs9warDX1mbY29peANxaAODeWgPhWhpsQQAh+QQFDQAoACzFAwwAHQAgAAAGwMCAcEgkCo7IpLLIHCqfyWYTSpUyqVBrEfvUGrlRrxAcFpOR4vFZkA6s2QHJI9lBfM+ByQXqca4HEEcGHxYjSHZuaxMYAgaIgEcbamcckUQTRwwgiWcFRxVEEnsGJJxkC42IQhKGpKZgqCelQxIhjaVvqAKgtK12uUcHQgAAExkCFA2vXCWZykKVAgQay1isRxQkCSZIvG8BDlQECpNkQg57SQfU5WBEESLxz354ad/2a233WgDVVWID9nkRqOVNEAAh+QQFBgAEACzTAwwAHQAgAAAGssCAcEgsCo7IZLLIJCqfyKYUCpU2qU8rE6vUGrnRYc3i0VzBx2HiImCAzuihZCRAvbdowXBARyngYA4dg0iDgy9/AXkCJVxuQosTNDQPRycfkzRlkHl7IXWJX3FCc3UsgFxydAyneKMBpSitomCqpqhYtrK4VGqfJyS8VUMFAgYIwllDC0cUHiIiK0OLRBMuSo+KnUMAER0YSLvar17jteWc5F7U6Oap7ezlAPHl9FoDi0EAIfkEBQYABAAs4QMMAB4AIAAABsTAgHBILAqOyKSyyCQqn8mmFEqVNqlQKxP71Bq5Ue8QHBYHyEizEH1Un9lEGQxJ8TjhAQkEutGs8QVILyItSCl/aAEORycxQw4YAhQNb4kLR4dEgQIqlWQBewIGMDOlpUcVnmASI2CpbAKsRx8WFiK1tR4kqlwJIQInu1awAZupw3AlRwyUQgB5K4ifssAeLBIRhQwgvFhCEy5UDCzdVUIShUowduVZRBIi8SvN0mBuxGr4ZpGJ+WzPZvR5GQBrgBkNsIIAACH5BAUUAB0ALPADDAAsACAAAAb/wIBwSCwajwGBcslsIp9QYXPKjFqN1Ox1K81OuVvv1zRjkMBIsbMgMJzRWPUysGi/4UT5vO7GF/VKdHYAAQMafoACgiciLUsod0MSDxkCGAIoCHmAglQzmkMTF1QeQ4mdbR8iowIMDUIDEEoGHxYjs6CndW2gEpUCFUITuEIJsgIbXXqdyUMmSs0c0EQTlwwgSZy7waFKBIRswEQSt326SirUSijYfKBC5AInZ+cG7wEO6+124yHy9NqUcBNWicChbeNuCdB0TsABIiWmdXoYqhKFVw0vwjqWQkhEARqFSBNgMNuyXZhISHDEL4AEVgxWJHgmUJkcVFMG4rs0hYACOZtqFj3gKZAQkQislhw4BFRMEQkiomJDEiGqiFeblvlJw2nrkVNe48gxEFbszbJZz6Jt6mWtKUBBAAAh+QQFDQAcACwNBAwAHQAgAAAGu8CAcEgsCo7IZLLIJCqfyKYUCpU2qU8rE6vUGrlR7xAcFgfIR7MQLVCf0UPHSGCgHxROOMAEZTTGcA5IKBYPSASAZAEFRwQaQoJ0CGtoEhkCJyREjAIVlGQTGAIoLEQlRxufYBOXqaaoqlyhAq5Dp7SxWLOkr7hvoKIUfwEAAQtHKblUCSHIQ5ZHKspVtwJ3ERdHvL9gAQkQVNLTWd6GSQyaid3PIu0rW3BqbG7z8vFiAPX4+mL8WgNsggAAIfkEBS4ACAAsHAQMABwAIAAABrDAgHBIJAqOyGSyyBwqn8hmEwqVMqlPaxGrDJgylJiVu1wcK2PyMWAWoKXqdfvdxMTZZ6tdjXcPJS0dMGhxAn1vEiNHDA0BhYcBEhdHKI2Od3OSlCBOmEcfkwIoLEaeSQykpXxtSXRCj6xIJySqZH0bASFHBAqdq3kTGUcHvrZzQiVIKq+mdG2Ml3wFeUKJuxqw1EIOdgYqj1rFXOHiWOTMfOfgWgAA61YAA+9a82lqQQAh+QQFjAAEACwqBAwAHQAgAAAGkMCAcEgkCo7IpLLIHCqfyWYTSpUyqVBrEftkJhKaLTdKLB034vGxaBagjep1+ZxWs+nw+N1dH+/fTnECf31chHl2c3yIfooVhVhFE0ePjIZEEzAZlYF6Wp2JnwGCg0QyNDQeGgCgjUMFRwwglpFEC7GzrZdDtwIoLLRVoqOCw8SeoqTGyqIDzFoAGs+f01qkQQAh+QQFDQAAACwAAAAAAQABAAACAkQBACH5BAVdAAQALAwADAA7BEAAAAb/wIBwSCwaj8ikcslsOp/QqHRKrVqv2Kx2y+16v+CweEwum8/otHrNbrvf8Lh8Tq/b7/i8fs/v+/+AgYKDhIWGh4iJiouMjY6PkJGSk5SVlpeYmZqbnJ2en6ChoqOkpaanewSqq6ytrq+wsbKztLW2t7i5uru8vb6/wMHCw8TFxsfIycrLzM3Oz9DR0tPU1clP1tna29zd3t/g4eLj5OXm5+jp6r/Y6+7v8PHy8/T19vf4+fru7fv+/wADChxIsKDBgwi99UvIsKHDhxAjSpxIsWKshRYzatzIsaPHjyBBYgxJsqTJkyhTqlxJbCTLlzBjypxJs6Y9lzZz6tzJs6fP/58XnQAdSrSo0aNIH+JMyrSp06dQozpbKrWq1atYszKlqrWr169gw3bkKras2bNo08ojq7at27dw414TKreu3bt488Jiq7ev37+Am/INTLiw4cMrByNezLix44aKH0ueTLnyu8iWM2vezDka5s6gQ4sefesz6dOoU282rbq169eEWcOeTbt2W9m2c+vebRU379/Ag/9kI6C48ePHUSlfzry58+fQo4dCTt249OvYs2vfzr27dyjVq38fT768+fPo0wcKT129+/fw48ufTz8Ae+T18+vfz7+/f0n3JfffgAQWaOCBCIIRoHUJNujggxBGuN+CxUlo4YUYZqjhchQKsP/hhyCGKOKIhnRI4okopqjiimKYyOKLMMYoI4wuzmjjjTjmWJ4CPaSgwhU16ijkkEQWKcoKPCSZZANVBGnkk1BGKeUhAChpJRErpPCEk1N26eWXYLbRQ5IVkKDkjwFUmaQTXIbp5ptwxjmFkkIMoGQFAYzJA5pMtCnnn4AG+uaYfN5gJZ1sUijooow2KiULGhChp5IkbKmoo5hmqmmOMSSZQqWWLrjpqKSWaqSfpqaq6qohosrqq7DGeqCrstZq663w0Yrrrrz2mp2uvgYr7LCjAEvsscgmC+Clyjbr7LONGAvttNRWG4e01mar7bYKMsvtt+CGywW24pZrrrnknqsF7rqrBgEAIfkEBQ0ABAAsKQAsAB0AIAAABqLAgHBIJAqOyKSyyBwqn8lm0wCFSplV69WYXRIdmVms2PUOS8cKuYwsogVqLltQnFhopPV8K2cHEi0dgoJjfWUBEhdKcU5zdAN3NCNpen5Eb4xCjnSXlIZdbp6Ne51wlYelmQGboaafWa2qrKmnoLSvVbG1sEMAmLu5t6OWQwuimo4SFsstRwYIwFATGEobWI4TGUgGHgBFA7N8q47iyKTim0EAIfkEBQ0ABAAsNwAsAB0AIAAABqrAgHBILAqOyGSyyCQqn8imFAqVNqlPKxOr1Bq5Ue8QHBYHyEezEC1Qn9EBWadDIpo6r8YaXhAYEER9f3tkAYJ1Qwt+iGwBigaIQo+McJNElm+FmJKLhGCOnYmhjYeXo5V+gKKQnlwBJUcVQwkjp4WwAgcAQg5HrJmfvUcHAzIZvpSFErVQg8CuARMXSS8PAifJn0IDESIieltwao3j4mbk5+Zi6OvqWgNsQQAh+QQFBgAEACxGACwAHQAgAAAGwcCAcEgkCo7IpLLIHCqfyWYTSpUyqVBrEfvUGrlRrxAcFpOR4vFZkA6sBZNWx2OaHSme73mCob6caxMZSCgiLUgVant9AhtDHEcoCm6BLgInJEMSF0cIlIsCDCxEBZeZb3yNRaUCKp9kgqpEEEeJqH0oo0MLAgYkAKiDDA2aI72ngYyJQiVHw69gqUceGjKDAgeKsIxPKMTQXLEoxkgd3+BYqY4RIiIrAHqwg45Wt7JS9vT4gfNWA29pNABMM9DMmiAAIfkEBRQACQAsVAAsAB0AIAAABs7AgHBILAqOyGSyyCQqn8imFAqVNqlPKxOr1Bq5Ue8QHBYHyEezEC0wA85oWacTY5rmJDi5dCRoiBIuAgZ5bBIXgwhEfAIba2gBHEcHQwMQRyqPZAETGAIoIEKdAgyhemABlphCkgKUmqgBjBsAEiODebBcQhIZAhQNDn1OkEILRxXHAhXEm6JHML7AzbGpIUmO1LtDjIlfzry+nwrf1UKXAilbxbyIJ7naWESt2eW7ERYtSJnrmwXYUgxAUmbgBTkmANi4ScjOywCFatgEAQAh+QQFDQAFACxiACwAHgAgAAAGpcCAcEgsCo7IpLLIJCqfyaYUSpU2qVArE/vUGrnRocRiIV3BSGLpWDmjBWq2Gx0XtJmGt2Cw6HRcRzB+fjFCegISF1wphnoBFjQ0I0cdkZEkAAGHdXdDmZtDa3ZzYJykXKZbjqFyqm+pX69DDkcHp1hEE4AEt1VDukcvIsMNjbJCAC1Pd6DICSYZScyrXsZ01dal2JrU1YeZ1QDf2OJ6A+TNXgOHQQAh+QQFBgAEACxxACwAHQAgAAAGxMCAcEgsCo7IZLLIJCqfyKYUCpU2qU8rE6vUGrlR7xAcFgfIR7MQLVCf0cNJC3M0vBpOeKA2e84QY3ATSBQWFhdHFHhvZAEQRxsKQgOPAilraBMZAooAQgATdCgajGAOmwIwM6sUfQIoLKVcJWAMsWy0ryKGux4WIh6YZA6QXmyhr7FWbBIjRxVEnhEgwmABuQIvKwMRJjCW1VxCC1jQslhDMi5KdiTh6EQRIvMRX41qbG75+HpiAPteAPzrFxCgFw1sggAAIfkEBQYABAAsgAAsABwAIAAABpfAgHBIJAqOyGSyyBwqn8hmEwqVMqlPaxGr1Bq5Ua8QHBaTj+LxuQiQngVCSatTkWOOFE/gLZwcYRlKDCB8ARMuSR00HQKDhYdHJwgBAAATHhqPiAIVTXdkfYgUDVNrhoEoCqWghncbbqYTrrCsE4Gvq2B9s7lcuwK4V7G8wrWIwVumZspehWIGzFrOVpXTUgAD1lbatGBBACH5BAUNAAQALI4ALAAdACAAAAJIjI8oy+0Jj5stRootxFQnPnkKWIkGWZooY56r0AYv3M6xXb+3nq+730P9hEHS0FgEHZVJztLZzEQ701D1IQIAcB7AgCsCe2YFACH5BAUGAAkALJwALAAdACAAAAamwIBwSCwKjshkssgkKp/IphQKlTapTysTq9QauVHvEBwWB8hHsxAtUJ/RAVmn02hhjrCYE16gGhBjfEgGHxZ3AgSBZAELRyckQhN3DA1rcI0CB0QQAgaQb4uYFUSNj5ahnYBDjX+nYIydn0Ksn2ywnqSxrlywpqu6oK+0ubjBvMO/xbZ9xbOpu1gBHAK+zr62athm2mLcXgZwZgDeVuPhYuaLZgNsQQAh+QQFDQAoACyrACwAHQAgAAAGwMCAcEgkCo7IpLLIHCqfyWYTSpUyqVBrEfvUGrlRrxAcFpOR4vFZkA6s2QHJI9lBfM+ByQXqca4HEEcGHxYjSHZuaxMYAgaIgEcbamcckUQTRwwgiWcFRxVEEnsGJJxkC42IQhKGpKZgqCelQxIhjaVvqAKgtK12uUcHQgAAExkCFA2vXCWZykKVAgQay1isRxQkCSZIvG8BDlQECpNkQg57SQfU5WBEESLxz354ad/2a233WgDVVWID9nkRqOVNEAAh+QQFBgAEACy5ACwAHQAgAAAGssCAcEgsCo7IZLLIJCqfyKYUCpU2qU8rE6vUGrnRYc3i0VzBx2HiImCAzuihZCRAvbdowXBARyngYA4dg0iDgy9/AXkCJVxuQosTNDQPRycfkzRlkHl7IXWJX3FCc3UsgFxydAyneKMBpSitomCqpqhYtrK4VGqfJyS8VUMFAgYIwllDC0cUHiIiK0OLRBMuSo+KnUMAER0YSLvar17jteWc5F7U6Oap7ezlAPHl9FoDi0EAIfkEBQYABAAsxwAsAB4AIAAABsTAgHBILAqOyKSyyCQqn8mmFEqVNqlQKxP71Bq5Ue8QHBYHyEizEH1Un9lEGQxJ8TjhAQkEutGs8QVILyItSCl/aAEORycxQw4YAhQNb4kLR4dEgQIqlWQBewIGMDOlpUcVnmASI2CpbAKsRx8WFiK1tR4kqlwJIQInu1awAZupw3AlRwyUQgB5K4ifssAeLBIRhQwgvFhCEy5UDCzdVUIShUowduVZRBIi8SvN0mBuxGr4ZpGJ+WzPZvR5GQBrgBkNsIIAACH5BAUGAAkALNYALAAdACAAAAbGwIBwSCwKjshkssgkKp/IphQKlTapTysTqwyYZgySlrssCAxiKzm6OKena0GgjR7H525AYKDZ3tsnIi1IKG8BcXJtUDMIQ4h4RwYfIhdHDA1Cj4oGjQESGUcVmX9HG0QmpaNrkKJDE0cEeppHKkQTGAIMIIeknEQORyi7swKtQhMuAgR9xAdEJam8q4oUmHsQRymqZJAChRKDbttc3U/GsycPuEgVeuNYRRIi89aOd1pO9/jvVPv2q/4APPInjRvBgfsGIAoCACH5BAUNACEALOUALAAcACAAAAa8wIBwSCQKjshkssgcKp/IZhMKlTKpT2sRq9QauVGvEBwWk4/i8TkdOAuEkkeyg/iSA5ML1OM8DyBHBh8WI0h1bWcTGAIGh39HG2pkHJBEE0cMIIhkBUcVRBJ6BiSbYAuMh3CFo6VcpyekQxKrpG6nAp+yq3W2RwdDABMZAgwNrVglmMZClAIoGsdUs0cUJAkmSLluAQ5UBAqSYEIOekkH0OFcRBEi7ct9d2nb8mv08VoAAPP4A/te/lrcBAEAIfkEBQ0AFAAs8wAsAB0AIAAABrvAgHBIJAqOyKSyyBwqn8lmE0qVMqlQaxH71A4B3KVXGI6OA2XkGZ0WrNtuoWMkMNQPCmc7ADBBGQ1kew5IKBYPSASCaQEFRwQackcGCGxpEhkCJyREjgIVlmUTGAIoLEQlRxuhYaMCq6iqrFyusEOpr7NYrqaxuXATmYBCAAELRym6VAkQyADPmEcqyll+R3gRF0e9cAHMVNPUXd4tSgyci2VEEiLtK1t7Z93y8WPzWsX3WgP6Wv1WcIIAACH5BAUNAAAALAEBLAAdACAAAAa1wIBwSCwKjshkssgkKp/IphQKlTapTysTqxRyKJSYlbsMFI6VMfkoPAvS07VAuECr13R7HB+ov4cSLR0wYnJzfXoSI0cMDQGGeX8SF0cojo9ykRWTlSBDkIgCH4sCKCxOmaFIDKeofH5IGHCfqbBIJySuZJEbARCVCrSvdhMZRwfCu6FwJUcGKkKgbrN+jZh804CUAgQaoBx6Qg4YRyqgWslc6Lrq69Gp7ufr8uj0VgP2Ut5yQQAh+QQFVgAEACwMACwAEgFAAAAD/xi63P4wykmrvTjrzbv/YCiOZGmeaKqubOu+cCzPdG3feK7vNOH/wKBwSCwaj8ikcslsOp/QqHRomVqv2Kx2y+02q96weEwum5Xgs3rNbruL6bd8Tq9L4/a8fm/H8/+AgWF+goWGh0yEiIuMjIqNkJF8j5KVlm6Ul5qbYhQAAJyhomOeA6OnqFiZqaytQquusaywsrWitLa5l7i6vZC8vsGHwMLFgMTGyXnIys1yzM7Ra9DS1WTU1tld2NrdqhUC4eLj4zzm5+g25Ovi6e7v8Cbs7PH19vcW8+v4/P38+uT8CRyYDmA5gggTqjMYTqHDhy4YNoRIsSIJiQIsatzIAWYjx48gJ3gMSbJkgJEmU25EqbIlRJYuYyKEKbNmP5o2c9bDqbNnQYk+g8LjKbToDaJGk8pAqrRpC6ZOo6KAKrXqCKpWs3rAqrVrBq5ew1IAK7bsA7Jm0ypAq9Ys27Zi38L1Kneu1gQAIfkEBQYAPAAsDABMAJsEYAAABv/AgHBILBqPyKRyyWw6n9CodEqtWq/YrHbL7Xq/4LB4TC6bz+i0es1uu9/wuHxOr9vv+Lx+z+/7/4CBgoOEhYaHiImKi4yNjo+QkZKTlJWWl5iZmpucnZ6foII3OqQ6OxqhqaqVOKWmqKuxsrO0tbaAo6U7AGM4vjhLv8BdvGnFRsJZwsNGAMKwzcvHizc7OtBlODs5zE7TYK2u2E8J5ebn5gNCJjMMJLdHCSIiFiINSRLzFisKSAkR9DzcQwKwHr8sHGB0GPimhIAZEAUc0DMhwwwPZCaMgFEB3huNFDra4tDunUcouX4RsebKVTcoOVq+FBKuVI5xVFieGpKrpS7/nFB04ozpskpPm9iO2pwGQKmpmUsAiCvCEigTHDegoiRlFQxRrUWkksqRDQfRrkoKCFjLtu1aA+/UGkBgqYYFD2ibmHArAAVDIRrdGsBYxAQGtwT+BpgAwYBbkVbk0oXjsO0Giocvj5mQ+aRdvGk4C9DcSYIFCyaNSF4VoV7eJblw+iwaBQBLmUWcvrrSc6cQ3T+Nktrhe8ht2lGAX+M5m+uQmj5vQBFLSvpK51LOWomNJmWTo6+1cJeilq9gugsEwK0k4YIABiCscDAvgALDivRTEElv/sT9DPRNFJl6k72Rjwh7jUYRgKSFMcFaBHjU3nvxoSFag5tUBlkR6a2X/8qE8G2HHRFY3UDUDjek2E9yw+EAwInQUEdWTdZRoc1wxZWY4o6l1CgFdbsx95RZpYRXhE009chcVi72lEMx4XDjy20rNgHkcsaN+MSLWkoxnhneRUUUKWB18SUUNdCgpgUPrEWBBWrS8ME9HaYmiQQh9FXhFPgJkNgAMriwFmn8nYCXBBCsdYJJovnZAKCHKSgEf4NpgKiidkohg5ws0IEfhnVcSIYEasYg4Qh6pkEqDaZ6oiESdaoC4p5TnFlElFXYRqYQ1NWYy5O/FVnFbcR9YwRLVWbnSnEBlMKMklBECQ2uSdQEC1ZhseRjVLhlieV0Me0i4rdlhKnElduGYf8rn4KCGkCHkw2gDiQDoIpCslFUhkKnQlQWYQASoCoAZBPO1e9a+w7hrxB4rkWwewIUuIiodSQwL8UnlVFvX/hmjMWrR8ArhLyfDJDnveNqYGySOpBl41hCtlzMV7wiR1MOOAOLRErWMIvMcOM0lTNYuVRjyjFRFuPkytXCTATQSehKrhG/bnmcb1In5Qo3JOZsU843fHOjs7mROeZNRxzFNTJj6hB22Tp0g/MO3YRjNLNmcXP2ODj7ogvRXfLZmWoCnLDCA5Gi0GoRMsDAFgWERSFBBx14YIKghUdOhAMAunlAxxK0UHnokTKAkQOUd8BW6h280LESCw8hWogBryX/MX8ixQ7YYbQLfLvDUoTegQ3Ev6AYww9gXp8NKwQvQgeR1vcBrURgbIQMlDdgguPqGU9E449rDvDz0VMwvRETqL5WBxEwKEQNlC8+hAmUZ8oE9sTb0IH8QmC/UAuRogD/nOA/O9HPe0OQQPIe94LmFWECAGQLAr2AOsqtLnWuI8LkKgfBAGJEBgzYnxHo14HU4I94ImRc6xoQwfcMMDAQioDoBrgE03RgBo87XwJbAAMP1KBzBngBv4gAP7YY4HNDGAAJMaeQ1C2uQ4eLFAxoCD43ia9/2QvUWmYwQSYIz3Kdg9wRHCCw+iCxCMKrAARx+J7Tpe4trMvgVqZGIqfV/8ppQNoJdWBxlG3VxGdDEMuTiCOuJJgrkLfRiiDFUpxRbKNmU3kCtVjmMiTsUQlF2xKOdiWEqnirWwGAjk+Y1balxMwnLzkO2YigG2aZq2ek5ApRkqWcKl1pazsLnBSsNwT+mEd+CUgUXzZgJNlFzy0vKIx57PPAw6BAeWuBT2Xow4DjwQ5Cm8NmABKQp4glUZiTcYA2hSBOPwmBm2tRwTcJtEsMOOYtEgMMxNziriVM0y0UsN9i2pUEuaivLSK51DChcc+25HNzx7TMwfyULAlgTp9pQYwRfMkXGi5BLTOQ2GrkaR4M1SChhYunFgrKFt7RCj8omGc0QeAvbEgAQP+LGkJ52PIvIsyUL+ocggPc2dF8gbQ+qeHMTwmAjfnwpZoMUylfIEPRthggpwwTJj3HIRcbLPUJjRqmMo+qmAf1pXNskSZ9TMoiOj7Hjl7iZClRwUhUiLKSLAuSEcKlMqhZUljZWuVcd1MKVu6KS5F8AkuYMdhqsQSuR6CZN5zVM1h4MgBjykoieZKiHu3obUI4G1agFYA+jk0HVYoskUhRpXBso7JoDZNQqPKKTJ4yK7oohtRaNtq4pU2XUfjUEWZqgA9YIFI1DcBMXyCCFrBFP1Dok5+KyxbIlLMvbKLpA8EqgA7QAAbtAMEE4vSWD8QJNE+Y0MA4Ol4hGNUv63D/00BeCrzFQAy5ATjvQBKEVMk9gHiO8xARjNpbenTgBPW8pgE68AERIG6c1eMnrAz6ggWKZLjMXQt8K2NdAwM3gWE0sEIB5p4TSKwEhwkuAWlgA+NKaj9sOYFvMSfiJsSql+pJDX8LbAHVNWinbjoN95jZhQk8gAYHVvF3saHc6tIAevAp2IcRXAPimRhUvuytBVicQIEN5sCDytf6CozlmioXBTV+C1SfC+YuDwFONBCYdeOUmiivGMEQNrEA4DspBjsYq9FDQYTLGwAyRxfB+2yLdUeAAfhsF8iH6e2Qy9qVSabVtnbTTlsD0DNHhzK2R7BbABjJtM6iFZF6raPb/zbdM7/a1mgmwm3TNjmWb9wSkKI2qyWrQrOsbVqvREEsZOUaa2ZYK1ik9dYwqMOMXA8h11BClpCAsVpRz2g4pt5BlVoEyZYJCZDraueJURxjwACIx+U8weI4Vx9rJqFRpDEqAVZUHqKS8zAerl6kDAYY8AbAZByzwkfdBINIvQAawVwdG+OtUylyTwD/HkLA14JdeF7hxTZl5xAi4MDkWuCkMLXfBBS8WwlWSQTvCPe4D8PjCXgA44UzSWXqi+MTG1VA926MAKC6S/dxCFOAERSPnwDxd3VbCBsVAsWJIEw5DkCYdO7CxlCGhEYRfDGgefk6Z34EXvo85Tl/z0AqU//ySAW46SevXsZ3l+U6z1mmEIIFjumtsPZOFOeBBreYC15ubo+mSqjBaufSjTB2p/3dIU2wADDwdJNDY+mve0K2KSmcuHHak4L0dNws/UegQN4UsO4kJ/O6+essh5GmdhG0HzvHluDklmUi9nT6alpeeLJqgcTrsYmTy1GHHthwhT3sIVnIxhJBsZI3Gq+BPQzS717yLrukt3Cy+OQO7uYSIbrEF+CYpJeH5kzAj37ZK4B3sFe/wnX7YiKFfTTmiQFDpIJRDdpV6krYCOt/XPv5ckUp9BzoEveCyB7I8bfn2/9Jxx/lh2L0hjsRd2KzUyEJWAVWxx8wFwCJwnZO0HP/EMcfImVMdSc7AIICxSQ5qIJ+58ZGGyJvFEJ2KEA9WQcq5fGAG8UfdFYeX/cEGyUaO4djmsFeMYV2fLZQIwhj0Yd29FYeAageNMcfTCc4P8dh3fZ9dlIeG7Jx4mcEtQOCjddonzZHo9UPlyczMGNpQqAySKBYk5ZpdnUEskU1nDSGkqcAudAPsucEvdE2Q5Eik4UEh1UbRQJYzOYcwEdqXUJIYWgThEQcnHRIkSd5qeQcanhp1gZsrmCHpLBskghqyVeGu0ZHzad32+aDG5IeOShV2AUREbGD2edM6WdcMYUfVLhQDaKK5pZU/0cFMwUD/QZ34+cYBkCLbPGAckYB/zAQRkEVRg23Fg84BfcXft2zAuknBQPwPBBBAQOncf0HfT0oBMKUi6I4ipABKDckim/xDgEngZVBGkeXTuZFjFYAhVAmfmqRgzyXhD6nX770AcpoBC0Xit6YKl9QOwnTdDi0c0VQjlQXX+hYdc/HiREXU+G4ZJvYBANQY9n4jd7WF0MkGgIiGv3IikUAMv7XiVgHgWyBjzMQKR5Jirm1geknF+8wO+k3joIHkFJoL8vIaKuma4o3FtXhh583HHTFiDZZk09jCklAFOnSBI42HMfwKzlJaapGhk9xbJjXabkAa81mNc5hWky5HG3IWuSiK4A0W80xDIYoLFvpeWz1af+T5BQz0XoBoAFpGWyxJzNCYAqI1YfA1oFNZ3M3J4EiUzv0EYVLAIUiVh6moltE4JIYeIRHwI8z+QQixzAm5m7oZAAEwC8ywBY5VU4G0CoCJZndJETvwxYWNYHwSHZtMQMHgJfuRR/uiIEBZoBSqFSCIRITIJuKQhd+yZAN4pJ+CVFOYJgE+DsS6GLwCHFC5Rap2XZ/+R6NmQVT2JyBppgb6RiXIV4XGGjryJdLKDB2gphYZZsfKRrBZZi85J08uGDaaTDiRR8uUJLViGebeH3jt4nmiVKJxzAymTJASQVH4RtbCC1eiEnDYSI48zU4oWyP1jJeUx1ooxSO1ZRoaHv/1YYWdglYmXcueDVLr/eHHFpIXMkky4ADfKQlk3YmgMVW1oBYb+kT46AcWGKiUHOIUGlbcKOa6HOQMAZ+seKXB3Aap+EBIuABeYdV0yhMHVGeZUd2MciYVeCCYtdtNPgXRqUZQvik6xGl+5WkxviRD6Q67/R3TyCQQXQaIoAqw7kYevl2rZlAENOjQuqjp/EOAolwZOo7ACMwNGee7GUfONZiuYWj8Wgnx3hRxQmP6cMX7hYA+hKkcPqjYcCkTedOXzch/lFOfpqCbwd+KnmnXKqoWsoEYmoDb2qmkwGc86kZpuqp9AmYdaaj20mMjfqjTdip2oYhRnqqG6mlVodG//lZhft5R6skFcQBC1ujNEsJh80RWJRkoy7qHEcxbKRHEyqxVzTKK9oxlJ13iRd6LggaJRtarTo5DoRkeRA6lnJ5SFl5lkfjbEJCFsjmeWFJfKyVfL4nJMwHoU2wqxTYbei0plQAhRkZqPMZsPU5jTFJkVUgTDRXOzHVp9iAmAqrQajSsGCqkU1amkQwAK0BVgN4biQnqBi7q62qT5firyR4UDmKmxPbnZ+KO7DJgGk6sgTom+gpnPajsRYwTzlVGcVYBvyIgq65BC7LqkqaqbO6HpPJsg2pBDQIsh5iPRSDkbRinqr6nvuKtIlisoQDftoWsLGCkS2pq4DKqwibBP8AMQ8VZ2pW2IhTUBOVxJaX+C2VdiuEhDZ+lQODuCw+Y5e5QYgvMQp4m7c44lZIwjI7EBY2k1nZeq2BCK5jYqO3NiJrFXxHApezB2voGqE+Qi2uNQQx+oad6x29EpeT5wuo5TKdG0rEUYlaEq13iQWpin+u6iEvm44kxxC1YzBY6oN0JrIKlycwCQW3WmXshGOKCbHil7t0UU4MkCxUGwWDagTD+5sHWTAat4GJF71OyLTV6x4esr0+iCFeVYvB+6cNebU0ewQcmQBmSrMmRps4FLDndgEZAAPuYAXohLJVF7Pow3Df9orqaLQR973ixx8x2EzblruMcpDk+b/clnT/5dSzMpujJgG+hMq1J5mBnBpv+AGQTqqBS0sE/UqzMxUiNco0ASpYaagtMXMtlsiI+EppxfIzTVmHSwBtnkdYx1pt4Ip7ouYbLoK4mzeVkBu53yJKhDsiv/INZXkrb0gTLTyj1mFa0GA0OkOUQVmtYVITYvlplzSVobWUqme49yprzre06LtQ9ZVAaZuvmONc0XQP7Ot23EdzsUs43iSLCIZjqbgWGCAxwkSle4xzfUJzgWwFnmg/EoAvRvWekWpO8yORZKu10btyXeVA4kkECeIh6samnzqnIZxc/LuvWpsE3qmZqbHIRdDIsGiSEUA9jXKm0Dt414mrSjCnBvB1/w1YqB5iyRMZygYJyen1c1A7OOjEZ+KFfZkcMoWag/pyyXuZvoGJORPmGEi1cPBVxyR4wBaoBL4kv5IHhqyUIieyI2XSuKcmezLiDCzsxE9shi+MfEtgw1GDlKbmeI8rxNkKwznQD5V3a9vwC+DhiChyWVmhSSMClg/6lD0xE1OZDJ80DJvlG73RDzDiLXQjedVKI+xchuZCxJc4E6XQD72xafmsk27jDJyltrA7tmmshPXhASwgATUAQCb8m8qDF1r0g6oqERoQARATsL7rg5CDtloGISQgAQmSbw2jHjIdAVK1szS1AqaBOSjjl4PxD1EtBRS3AlC9Fh6wAmIdH/8B01vKqNQOp4mjMdNRpk/lYTp38RebupgCAzkzLUMYcIJoSoxsbUSM0jkvAAIRUEagMk2y3AQSINYrcJl9Idb2ILtOK81F8FwHACh+jZ9mPdMm4BhPN00NpLHbQ4p9gsGzXB/zIAJtHMD2ZEQildhiLQMh5tgD8dLi1UMiAFYHTIIIN9NtIsmmijHT9DlAjTDL2CfENQ8MQdt1LdMSIEMGcNMCy4A5rQE7DXNLLdxBnX5DbXaGYtTQV7Z+BUiqlLhWMt49LErx/M/cMnxZmXr0PGvDZ95QQd5xi0o8vCxanKxsywTKF1dYgt5jcXqjFCPmHSTKUTfNYbeKO0rdYC7/UkMW75xJylEjYLksQJGJOL20c92qBVJkbaHX8Gkea7xwFYXAB+xVBgW0SQDKbfF0DgBNbVFTLM7aOgXj0pVbyzle6ylRpW0espxV7Jh/6GPjK2V2Pl4g8UdP6BPU90mofwmCQRePtYwETc0XHuKXiPrdbNRcCCzk7OIWIF60gdk50omM1NQpUb5/ffaXuW13Vl6qDPx8JO5UNCRnxwWEwtnhRF6CeJ6Oez7iUuVUyjy2/OcWa2zk4JwSvgCv9j0FpQQVbwUUf9RpcakzZ8XeXNnD8Dx8FQ4VQKIVTqHg9W0TDa7fP7npXXkb06JKmNUMhGjPv8fgQqIUa8nqxqIU/9IGNwheHekNM0UDSpFboEiBDKNVxLJjsATZmomsQXbOcPXHtIJCAGXkKEWQAL0dVtcLzBMHPWwBzkugRAlVQkUQAf/0FuID7mCeKeQuGM8+5svZEQOAZUb0AU3uD9e+Fg1Gq7Iz7R5J2jvkFhggRud07wjXJq251GvxAYIiwd2UdFCQ5GDeD/Oh7PqefdNOAAZvEvGeUL3VMTLgfkGUKUsd5lUQATDwpUKN7NL7fvC3nCgz8SDbmoPd7b3tyP7QVC+Ain+9bap9Ts1OAdeZACZAXZAB8yjWmqHDFz10c6Xsxn4y7QtR7U2lv8eu7UJ3Q92+jN88k/1p7EY5rdUC9v+PANFXIAxM4wxiLwdmrwxpT+xlsvZhv+hiwB1tH3loD+mmVwcHgtqvyL0KcrZtrEGnHfhu8A+n/Yp7vwJWYfjIjQ+D7/VOkPj1XkOHjwaJb0173/d7r+IMM3aBoLGN7/ho2+RnKwIRgAQz1bFtQKmSrQXlgAocCQWZ75yDfwaX7yD8BPiij9py0PUe8/vAL6BmHOxXkfeNcMfBn/xkMKUn4ZccWAfMTwYDgA0CqfrKP+RWf/3av/14kIm6cuqYsN3cP/5R0BrXbv2r0HLojwbmzxZTvgUO0QGmP/PgTf7ow7/2n//6zwZNvOngfwniv//7XwSB3uah4LBzcFNt/jH/R77/N5r9+7//+/8F3n+Fm4D8+7//SUApcrT/ZkApckQGDlCLg4cB4r7/95/9+7//+7//+7//+7//RqCxEdD3+7//+7//+7//+7//+7//+7//+7//+7//+7//+7//+7//+7//+7//+7//+7//+7//+7//+7//+7//+7//+7//+7//+7//+7//+7//+7//+7//+7//+z/3y0Lp+7//wY/E+7//+7//+7//WOD7YkD2SED2W4ANlE4GZG8FyxD3QYwE0uAIjgT5KEEc57wGSDwF6IAO6bAOJQH8QJAQWSyiRgCZTEqGnpVCqRQSjVFlhHq0brlKDqyj7Y7J5WhpZpgJ/zAH8xsen2Rmnvg9ORnBKnj/HzBQcJBroiOjj1BxkZFjhoGEUXKSkutGRwdHUwmz0zPzL+cTZwvnM0eDcAdzJxXp8tOzFRBgVWdnS9ST9A9WNsrXEzXKVpYXDsDTNcl2OQ7n5rgX07lSCVa6Kxkzx1pJU7f6rUCg3Py8/CSS3ADB+/2uxsJD/M4EAx1FDEkP3cAuiokM+fYFmHAhXyRB7NzBK1MC3QaHgCbgk/iuooCLEzlSkkevo0GLIUmWkUBEoRV2KUu2HPOxHhxY4orFymamVixQ33TOCuTLZ4BgsYLiAVqtZqebZoYqS9K007KcOrshK3aDGDU/4X5q5YiNaf+not5m+iGHDu0MdwsEGGDpEp4EhAxABOKAthwFMXPwCnCT5C5evXnwoR0ciCHcJSJEmCi3UXGhkRgfR7ZsEiGFuh0nVL7cEqKARFbYuv0cWa4Aul11iIN2Q9eOG7NjjoG1AweA2FI7dTOFCSsgHMWCvp593FZwP79ZAbimVHdUPL1TMVd+KZqmG7ZwIUmWI/twpcg+OWuGJ3pr1rUpgS2jC9PS9l7j0bBv4UFeC/ZpfDhS+q3TGJFgBAFQ2MwPvgQgoIEBZCjsrwDOooAeCSDIS6GMFmzwQc8GuFAACmIYoIaBNBJEhv5YOC0jyAQU6cR3JLBvhRdtTO3AkGakIQb/GzsKbbQoAPSxJAINRNCPsrj4rao/bOFlGx2u48Y5oaRzUpYquxBlByhCkcW8+JLoRLk3TNmhOG7GYI49XeTbIkoxmaEPGS61TJJOeNwbYyo1HVIykAlciFHIthoaYAAiBxmgQBS89CM0FFZEIjQCkJAghHJGM7IdJBwoJ0dKy7HUoHI69RQfBgpSFI4WX0wgURhdZJVWQgbI1NFadb0DSC5KOzTWXSdh1MBH8VRvST+XU9aXHKp007tdosAhh2qd7QKbVbrr4rcd7gwAANiqfXO7TJpLoltXmv2WDCazGisrZJPVocky4rzFlamcCSYHaaittjdrb/hWvPGeywS+/2GiCFeYpQoG7ts9A7DWX+C4ceZfaqmLYlzmcMM2zwQni4KcE1Z4oDAUerRCBhjModAPCTrowAOBTAUoCgdMFOCEA4y9tAUYPJighZftcGDmDkxNuoMXfiajUiUyWs1IARpC4qxEoibsSBhJTQJEFfCQoIUObDj7hVUDkOCBQfOyocY7mOigsBA/QFLqgWZNQoaZG5DBbQPSVkKGnU/A+VIRDnn5bisMMaeDGta4qO8OVlbChJkDJKNvG8ymmeWZTy5MRD8qZynzwZdo++UX4pa6hbpVnwTpmZdO2mklyKaZbHMYsKPyy5PIvIOUKj+7gyCRqLyB2PMSnp8Cy+kgAv/PoTdJ8bopaHyJoD2oweW2XphUiRqUNtXnJAYg3m0wkr6cLZMfWEMAGK4PwAKE8kKcb78LN3V2ZSAazUxAv8NtQWfmMED6orA7D5CtML8LQO3OJwCm5S4OgLKCu6YhpWiJBQpRUpcnyhQAj8VkG87SFhmgtbBiyCeF2wgKLIITpy49Q1kmzKEVZMgeiZEhSi0MwHmQkBQ56VAnrHAGfIShJagcsYg6yQZUiuKePi2RGlx5ShJv+EGqWCJkeODL3tjSF+ElAEQRYc8WNIQWFzkGLaqKQkY6oD/fgSA0fdFMHLbmqVEhIQGZEoDYkPAhQ4lqQUpwAD5IFRoXZU2MGDD/gAKvlgc7nmNvUNPj5lzFBXZU0BwpuFQaMbmMPKKDAixJoALNcZFKOUMCg1LHHc7SSpX0RQD3IwM51KKExPDjkrYsX93McYJKLuKUcSSfQQaFgp2Vgy6v1N1ATIO1tpjja0k4yyTPYQDhOYB+6MBAJrtQAmK+LCUVOeeonBEYdMhxbcFEx2jKiBfhWWidG6jGWUCpqVatsxwvCMg1zwFPrqHAbQJYQzRxqZplhkVeG9xhBuXERPX0EIm9mZZYYsIlDSQDTbXBqAsNZoVwjNRKO0nKGkm6k6mU8Bu2qJcVfPE0bTxJW64gInyi8cKnzIZMxxlYEhIGDTJtkUwFCwpP/2HTiUcxp1/NOhgvuIMUatDwYMA5oRfppTEoIpWlAhyZLxX4AQsUJpu1fIEIilYOUcphZyhgqzlG8ylQ4QetcwyngWigNAawYAL2yQ/PPsAfkMBBAiYCSD8E8NYABEYfSIAjPFMjGmD6MwCOLJRfxvaAs1EzQIExwAeG0IETkLOcbekAaVH2R8fprQv1bMsHbDCoRKh1rm5NQmg6QIQHmOhrid1faz2TGmMqoY9wqMHZ2jqreo7WAm7L5huGlITqPtZUpLWA0iCzSP1YIHyHYURg7ZMO/tDgsPxIqAVpAAMM0MW4lUxuimjQ3Ftm96yujWc6alY31G6Bt0Ug7tcUZP+g7ZqDkBM0Bwrwqt/90EB6HThvSp5rVumSNaAiGGxjN5uXF7BOeWMQ1IJza1k/3nXD0x0x5Nr7XhCQd7AnKCwNbJDeN2hwo/QCBFh+09SLKnGIt+AgusTCLiRiBaTeApmOeehTiXowJzMUU4+1CAePJawa98IXTWMBUz41Ayz6AldJdTHTiW35yTvJ6Agx8agnefEYZSYqlZDAnEdd4mPaUjJPdCxDJzp1TEL2jkyRuueDhZUMndxsNflyGLue4HIJFK8ZNLQRyHrpLARwhXdPxQ8DXm0C6b1VsQLhXYWezwCaTkIC2oqBDoSzkqamQPgW5IqM5AqQgvwvGe5STbL/djoAEXhdqyyApBHPco5j7bA+kyCCSDw60vg4zAQssI9jKyQ08DS1pcsRoQ/hQ5eUHpRz05GhQU3aDNcNwHV/iQRhKwFEGDQkhysRSFIXInCgBkkZvR02Nip73eXmx0AOk22FbPsOoTb2QJBdaevq1pq1RtUhkYtZ0gicmarRgl1Ld+JJ13MDj3J2q9zG7QVhmp0ntprU8p0HUePKpjIJY50nKvNM+Pk8KUypJna4VSvk/FxceHOTS8qJLUf5z6BoDhEpegunLMwmWxiKmYEYFfEo+TywqJcIOYYmMHpwqq/IIQe1roSR5lQJQqShTMXhniqXHalV4fqcIir2uicI/7YX5yzYKL6ASTo24gmmNGiXgBDTCBfZSABRkFYcYt1l6q+CCIz2ClLgUFrBndcUr4JGA0dC+UHd1gQ2I37lOIA//N5C+vtmBX/xU5UxSGfZSEb2CKPV/EHRqI9QAC40+jKo+7plPKbUpG3tgaiaEkaKPL7L0Xqu3X5qeOMHwPkN775bXEKeWQjFaS8G714E8SyBZMVNrPfd/7KMgM/+IJVQRlyLjGcpEa4AIhF+DDO+MI5fQqMeegcc85nqbqzNdAEKgI5edG7IlOCjuKCFkiwm0kUbwEXq5KQWQgqpFAAWCnDmluwWiKPtfOyrTAg84ANetEE6oOU8hAhcmK6IvP8uF3oDTWJQTiRG53aOY7QCpZCoSZqiHnbqiGjQT/ws7ULm/yLp81AvSOJHIdIIBmbACZ0Q+8TKQJapZCLh1pZJs7im9rgAR/ovDtoqRNwrL0DNRE4ABnbm/MwBBsQwRCjMHMwKDI/wDkJv/QRnBbwQDgZAcZyQAkzE1/Ig77Zg/KyACZ9wBvJPfbJnBvrQVCIBjSgOkTZi3ggpMHbPCMmt/LIv8airLVgi+N7wDq3A1JrQEEEFDwdB+U5xatQmACYRCSqxEAIRCdsv/gLA3o5rt7QvD7erFDtx4KaQa/7iCsnPRXplC2CPrJCtEJ/QbZIwChNuIJbPmlIJRiSFGPP/JkSkT3f4bz24peYEkF6AYwVxkBU8SgdxiMmQAMheEOzuIAGDLqXgjgXLgDniDB65DM1K4ajeQMy6JcjUIwPjxRmiTBz6JIl4AQi3LCCTID1SISdmasia4iYgEAAiss3Mjs5qEKluogihUQ4DDthKr7JwSf+Y75HKoUfG6Ax0kS/ebwuMxBr/ANpGKeXsTQDGZ3kKg5Bmcm3aCgVcYSTdKBDosI3KYQYOANGkRp4wDhvJaRC3EZcwAAMS4SD6YpY4Rb50UbNS4w8v0fUqqfTiAPh8cfrOCSlzsaEo4BQFASZVER9cciVPhFM2xyBkEQnCUvTcYS6vUQ6Wsha9pimn/+8IsxAt9Q8vQVIvpYckaTETxcguzyIl7ZIwMw4uG4gbd2wDE9D/wCSKfoyEaC4dIUo2RpBMFMbodCDmyEDrqgUEqyUVhkKnNnAC23Ec724I1Uwf87HqvIIAsy5P5lFbjCw5NIE4iZPNjAWjNGgqQqjnmEUnquGJvEI5gUwjkUAF7S4puyD3Hu4Ph6RqzGoIioAILIAuTTIKFk9W4hIyttMK2hIQ0m+afLEzeGYfAuMi4BMQydIWPe8m4agk0+0v50hpuCnl8hBEBGc8CwQXie8j71I/oVIAzIoKiMADyLMV0+gFqMBlOqVqBG8yjasB7Gq6vLJQuvNBzWAlaPEPH/8HHZAvUhhjPMcz3FDxMtnILhuI4EJUv0xPDtUtRfcSLXdNCebNAGqMCArkVFSSay5CSYM0Lg3zQb1Teg5gQmPUEwMU/lwEPbdzMkfsv9wTM20TNAMQoiiwA12hiezOyzgwieqOSYysDKJTOoIBSgDtG4zTpG4BOauMHd9kzHTzyy5SB30TN8VMCWKwB2XTBo2uKn7IAIvCInVsN27zIO0uG4IwOA8NH7NTMj5yLE3jETeRIpppmYZkGJ10SckATP3A3/bPF70L+SJR8ZoPKrtyACQgAVIBGd/zRIcUC3bG+URM2q60K9PTV3rVFjNFVOeI4Ii1/pCUJSYz4ERjVyn/gvqiFFnH4DDpcACwwI52UhcnYlV59L9gr1odZ9xcT/x8MQGglS/fgPacVTDXczJuDUmk1RjVVUUdUVnLc18DJVWQxFTfEgtZMl3HYFytIAIYQwSGDay8MTTdUaNAc8/gYxm0JRuGA01MU+xiEE1kYSyus+tWYYroxWNBtjomVgfvJE5uQgUN9ev8VAhx4krOzCmw6jR/JgcsEB/9NB4BUE2jgDrXMWgttTaVQ4aggTi3YwcaVRyJjMlkyFjmMaU41UY/MkW5UyHOdVRDRAyMZJa6jzEBr0m5sF8BAT1dtVO8yyWzMG0vBUmHbwkYTm7hgA634G0pbayAFBsr00GL/zXi/jP3gPQp7XOOygEGzo0VW+VGP9VfAczi2jVbkaCtqJJgKW0NZ21xzeAWy5M9D7d+FFc7r/UPs/YpZU8O9tZdjfUXmTRHxzZnuu1YTbSanjK2JnfwvFZt3SEjTmAf8HNeyeAWN7eWbk9T54VMzWDoXgqpkAUC+UxRo8jQoFZMaxM3u6BmA8BgmBcji87u6uV5cwPq5GQTbhBN4JSHapY5tIJN4i5iBDXH6q4iC20ZWuh5U0phdKFMhm5R7ex7xxcgibYB9xGJ4KUjU9dTsbWasq0gJMBhBagZ0VKObHJT9EfwPpdkIBEPMk2R8CFs8cEABA9ELoKDk+DR6PIRE/9pKLH0Un4mMP6TR7MJjooVbOnybjMLmho4bjIim0RLIeCIwEzERUZNmAC2R8vhSpdVkwjFrnxNAlwYsypL/YINbzTE92hJg5OtQVeNlFCrbB2U/v4VhzVOvSYHgWW4EYM3VZPV4iqr9Xh4duV1jA3qUhz2huE1gk9sggXJsdyYQXdN+LR1wfoPx8JlNmLjOHyWHUHBF3iDSgoGptaXpXLwf8fAyQK1iqDDYlvqejOqXypyY0AqPI6iY8ODO9YUTmrWIGNT0HyBI1mhOA/VYIzKJ0h5kzvzY27jGKyjIqtqI5v3o65zKkjBlq+kZUH5aYEheqWQjBRYISqLQlhAAiL/oGi2UG/NgR5KRHYRyS8UIAL0JyZb9/f2hzEeeIktaAUSIL9IrWr+gQUiII0IKY8IYAVOAq28pCLkamG/1Q+EbQXguRycYAVWoC4IZLTuUAJmuG5jsdsaQAKea3MmpEKrTYzbU3oOR5qpOQPkSEEOQJo9j9HQCgQiQDFnJY96KWYGegU6BAVUWguUsKLfwK78wkEU6JlH4KA/epIWNI9cp1ttRnkUBHDFkpwbllm3GC2zeG1UWgZAxaUddEFB8pn1h0JEIKGElGtuUpo3jNFkUdHyyGe+2RSP+iYZVgwcF275K6Njx3ilOlDOgR7+Z+/G2C/eGZyX6YuPsagfuJ7C/3mLxsIgRwE9jOh615ej0qwExxde+FfovDeVdTOwQ7BlFzkWvETLpMXujIhjdzOiJBk0Y2Gz/5QzB42L2EwnysSwe+NOLKroJIbQsjdooxNp29Q2D5jksFaByVCPtHF0+8KgUhgtoGc+d83yVIO3uWDe0KLTTE0oC4mUugnU1skAYLgQGsqygvIcRnSc++KKizITs/Zq8eL2akm5rybzIqI93cZvUTQtV6RkwFKpVVWQyjut8WK6ZGuetDi+5WC9jPuPTcJEKpO8lUkT4dvXZrq57RaXknSsFA24u+l+4hDisi8kIXHF4ghJ2i1B+tt3xODBFUi4T0+/76jD/NpSy/8XXFjbsd/AohzmFOrBY9CXIemMzxK7kOBDkWNoYVr8sUPQ7hom7TTbWLxKFm4gO+eOtOnjYSCGCyqwyG7wEz5GTQV7WpJiqJT5E35GYqzjHsc0Hqn8gwBmY6bFq6wWXT/yLjYRprsHLYQm4RhJMQ2kIBJgw0Bl+PJ6CyKADYExDtanv1HgLUgaHY4yCtbnnIpHd54b0nDvmdCiDwaAuMoqNbuAzs8BAz4sW1kU+9acCyU8RHCG1dDhBYpmEzskuwbCEmeV3vzgvPMBCtI8iR+XjeKcAPID2SD9nEbraWRAnl7gLfLIxPt5z/3aS82Aj7eg1c8hV2CdFjdR0KdnsKj/OwoSAL9H/S/LtthXTcIpoG4TwGboCjCwdRMtJI74h9M3fEHiPLKkoM5VI0AwOAoioAMI1MT7mpBH2xpieU2IU1jwQN8FoTjhtDj9dOBlnBECnhD+fUlQvBT4XRsUfj7Uw+GFVscg/rOXuSOYoJw3Vztha2GNmgsZ1pxdIgE+vgpCvpxjouTNmgtXIOXFVeQnHXsYg+MlQeMbVm1ufnNv/rjrkoVrpVtpHmFjfgxMnhVrKVjhwrhkfRESIFfHWNrbk+VRUeQ54uZXoOat9UQ+fuTXpuotIxhsvN/HnuzL3uyxfI2+EXoxXljg/ezfHu5Pw3DjPi7A2cy9Ye7fYQCc/2Heop7uWwLP/17wB5/wC98abPshDf/NkVrxG9/x4QALNmyhH/8OTC3pSyICPGDDLp8RIIJmIuDZg53yQ8LtR9/0Tx/1+x3x1f70Sz/1X7/wyRurYT9nGOnuKUH2JyKZ0mHyaX8SXN/3g1/4hz/i2aM6aT/wiV/5x76MBEfml99Hmh+D4AFpyqEwEB36KyH5s5/7u9/7vx/8w1/8xx/uuzUCsp7801/915/929/93x/+41/+55/+69/+7x//81//95//t8C6zaH/+7//+7//+7//+1/8/78c+r//+7//+7//+7//xf//y6H/+7//+7//+7//+1/8/78c+r//+7//+/+///u//8X//8uh//u///u///u///tf/P+/HPq///u///u///u//8X//8uh//u///u///u///tf/P+/HPq///u///u///u//8X//8uh//u///u///u///tf/P+/HPq///u///u///u//8X//8uh//u///u///u///tf/P+/HPq///u///u///u//8X//8uh//u///u///u///tf/P+/HPq///u///u///u//8X//8uh//u///u///u///tf/P+/HPq///u///u///u//8X//8uh//u///u///u///tf/P+/HPq///u///u///u//8X//8uh//u///u///u///tf/P/Yvxz6v//7v//7v//7v//F///Lof/7v//7v//7v//7X/z/vxz6v//7v//7v//7v//F///Lof/7v//7v//7v//7X/z/vxz6v//7v//7v//7v//F///Lof/7v//7v//7v//7X/z/vxz6v//7v//7v//7v//F///Lof/7v//7v//7v//7X/z/vxz6v//7v//7v//7v//F///Lof/7v//7v//7v//7X/z/vxz6v//7v//7v//7v//F///Lof/7v//7v//7v//7X/z/vxz6v//7v//7v//7v//FPwgAACH5BAUGADwALAwAEAC9BHwBAAb/wIBweNMZdTvNcMlsOp/QqHRKrVqv2Kx2y+16v+CweIk7IpXjtHrNbrvf8Lh8Tq/b7/i8fs/nFo87AG84hDhShYZpgn0BiGCIiU4AiItOiGiMYTg7O3U3nJFVAKNuZWaYVwmqq6ysQhwzDCR2raqombi5QhMjMwd0vDMvCjzFxsfIyco8JjAdDbnL0tPU1dbHutna29zdY3+FSztm5KFWADnlluQ5t1oA42dE5ORJXPBGgU3pZuZXf2baMUFHzx/AIzewAAB0i587Kjhu4KikxSEdcFQWGskRh5DFLAUEiBxJUqSBWQsEGEBQR8KIkgIqMKphwcNDOylFpmBSQuSG/y00RdykMgGDgJ9zigpgACJNyJXRrkmdOo0bTZvesmrdyrXJn1v46BnxRyWeOjJi7XUBqDbAQXpts7C9ZdYs2SlvGYoTqyPhEH70/IoyK1hIvKFQ8MWVawSxGox49cb5qiUkzJJQU55seQGmTD4SOqOAxifnUtJCeh7VkqAzUy4TMqxO6mIpC6dGZ+Giyrs3D26hMTBA3bW48eN7KC+ZdOMGvx3NbyhgPJagPCEadXA01bcLdySVIkaPfoTjlu9x/+yYCNixk/KCuAsGODHAczTyhah3PyR74/6HaTHOYhnNowN/YkAmBWA63PXYf1nUQMOEFjwgEgMWTEjDB9Bopv/bHANkSIMFLYj02R4uCYDCbaWRdGIAqiGFRYooNLWFUjLGEZttaciwIYtNUESHb0ReA5xrNiKn5JJMsqHcOtp1cUQk8cy3ERr7bWFdPo7xM90TQu5jRlvZRYIQFqa0ZYp59o21V4P6bbQEP4VJ4V93QwSYxYBhTlHJk5O5aSc5NxQ5FaA3GpXjEJqxFMAAA9ih2ot5DPASCl/uYdppQ8SohaUqZprFjhsUk0Ckbyi1Ih59NunqACGE6uoXxcxqa1eIohXlefksAlAOi8Rj5pRM4JDDsTe02shY+RzSq1fHrgcFOHwOsSaW8F2xJhNcGtbYn4J6qSuwg42JRlioHCT/bX/HAtZuDjfcskk+0oLboLsPHZQDWcaaES8TCtp3bCimZGntwPgyMfAnxD6R66iKOpHSCSs8YJQAFMTQGxeTLiFDBx18GIAJHbxA2gQtdOCBCbJh7MESJYAcQxMkh+wAyB2YhHPJogYgQwYGiETBy018/MzPIglDXBSbxtSpTwEsIsECM4yEgsg3gzzSzsMwIQMMIw29BI4yqKQS0UzU8JJJB/QcgAQPtKwiAhSpCqTRLyRZhQQt2GBDBzaY7ATcVQttwwpRDGV0AyybJDjfKo9dzImLt3AxDDMPAbkHNYAt0gtAGrm52iOBvtzII83gwceCXxHBA56r1EHmQmSd/7PsOHe9RAS5u33r78B785U0227xR7JR16VEdmgwWOd3N2kEbLNR8ONPWHBKIicSbR0vyJ0IClG8+HIKYX0l4gagJ3bdZlSeoOpD2GZB1vJ1BCoMZhsnXzhgY1Y/AEuLBo6hoHjExSHp2IEC7IUEcmTqTgFxmPxgI5tFCaFpqdMYVaSADJ6YaAlPEVmjdnExmMiobAIgACokIJuTqOYyS0mSBCAAEwxsABUAsEwHguaiKuQEBkapUWqgtovOeOZpMIyh5mhYEhuiQSmXueESTHCZ4fRnAkYsyYt2xAAWUVEkaLPCBDDjqLHJjSQWfEIHn3K7HuJobBETgmVgYgAVDP8BioUbiQqFYKQxwnCPQhhAiS4DFSuEBoa/GCIMMUCBpb3wNcHrQgcjSclvnIF45dMCZP53oKg9a17lKRYgWuWQhXBiKMxzgl0kUcpn7S8R+Quft7JnnUiox0BqWZ8nJxiFMlUrfp2cX19A2aDvkccI4ynMryJypv0hE3p/QYhzjpAp7qznV0vYZPuGwCXvGeiZBjyXAfdFHyc8DAs4qsQyPnAMAgRgg1vo2BBCuAQP7UJuKBDBIJ32NiOWEUYicecENmQxAZxAQzTAihxLp8+R7KSeJKHACx5QNUpBIScbGORnPPUoJhrgAxZYmwAcNVAaWMigH9CQQgMwxxeI4KT/AngoFFXU0A/WzmoV0uMQBuBRkI7AGGVUVVO+yE8qGONtNPBbC0X2CpN8QAQWyFkaqbApCnzABrWRyRvvWBsZmeajFqhNCu+Iz6iOxI7vtEYAZooCs4oErQD9nAiYqBKmSuGQVvVASJMxgQdMSCQnSOmEVqpIFQGpkohNbB7OuaxdadJNBQuQRuwxoPGRb5u6Sogp9fEEy74pe6LszmQxgZGCfcQKoNyBuyjiLgC+UlfB9NP9rDfL5TVsfmzCzoAekqZETKJbAADIl8Li23xkih9sQm79jJApjAyoE6EF1mQZmKl8FDeT6gkTY8VYQXUi4wQkMIbQGgDPKChDkS+y/yej6ho1KMqIAyLBVFMFkMiOvnUJCbiU7xyQNNo5wCiNhKhPMmUBuz4Bo36UL0eVspJkLApWKhpgMvhrUP8CGBruHQJ8DbvQFKLhvypBgHhDLIQEMFFGqlLAhgVAOzUmowkTs2sBJhkBxGnBNMNYhAhmQaqxdXW9BtXNBGpjxbVeTEaWeahUdrQaQeTkoSmibzI2cwULtDgAG15UAmIlXyi8cFWKDbOY5TC83zTBs/9wE58kKydweNaaD7nfLjmrSvgxYZUDkXN2summXumyCnkhkFiUuU2zIIh5owWmEv6Q20QDCDzmRGZ/3IIEQwQ3k401D6OX0z5d0nZ/DNOOO//AIYj1bdpA5kllnnhJ6djCpmqLQkZ9A0DDk5Q3C/K8IHvXS2WlgFdznel10Ios1CXQ6LBAfiiQ4RqAnHQ5Cxil9QdLgIwsw1GJmnsJJJmQZGxYxo47KuTbljruXXf4M9a+44VspKqTGsCiNzY3r//ZBWf7rsd3jGOzRTLrp7AEAEoJcO3iuGSjnAA1IC7VMRhwDAYbGJ0YUEaKuhiFR+ptzBjPeBgYi2Yr/EEB4mKzdvCxHUxHTQqQgccpO4vZgWiAFAGkpamZ+/H5ybLVSGAQJrB3rGYKARCE+N+hA3Q+otsZXcvZrRMAw4mmV/a1/Snfp6PZScWgoniXJkef4mH/IFsefRyppl40CbTdKmx1CNMICXhvjYVc75vKuu61bMC80F/bVwBo3fCs33YpZAvBozOAwQwGX7j02rQyUKOwCntyDMu8KEVw5zuPmuBRZBTeyJNfKFSUQnEkIsXxxn6J3EliAGV7Qb0gLN0KEnB6nTzh7Gv9sa6LytIg3zPzSvnFVOzGVfredDZCgPzDoxCBFgie8ETMNoejIAEWqCLjtdK49LVQK46bPM19Abv5/jNZi6wp+lMYn6PFhCc0YVrsrT71n50Fv+d8Lx4CaSxov0OPQ8t5WwGq+aNdHT/oNoGT9NNq9cE+8qB/q1Z1JrctgpAX/pAm+IFdzJV04DEK/yYXMPvzcl4wZMDHR9IwQlPBMYf3diK0a7BXeyzmeZIXeZJHd8qXRLSXE8yGBdHGU2/FUSOkfHYXfH3XBIfkglolGwQgKqC3I+4EM0R0gzpIgiUUX34XbyqIeSNhAAZwADcHZJSyCLCngV5FYvNGQmNFVquxe0B4bUjBUUn4hFKwKSUkcTs4fW74hmJgDNbnWNQhZ4q2Sw3zfWYWGUjgHD2HTPG3BNT0WNrxLuUhEG/RPBHocZIWdfIQFqJyauLzP/1CIGCiJ15iEYiSPqvmf3f2TJAQEdiiA6IyXa2GQxahEc8DgfUXc4BwCsUAKKYoPQpTHTFXhU2ghUxwDAaADP/29IEc9GJx9SL0xGtCpm9RA3rB1xmNpHg82IahJxJPZQHUWI0eIDLFGG+zoRoEYIO2pzmxkoOS13nR+FHJoFc8ZhRFOARMpFXIGFdIEWPleIwwsXdbgHpjczs85GFOyFRYiIy6GHfYSIIVRIZpdQ1ZKHuMhwzCd15PQGECAAMgtTICwIbLhwVsB4caeStyyGrLlVtYcBDXZQ/+wVnHA34oZz92+JHKEgV50YoiSYAKVCzhQH6WdoDLA3YU0XGCeB2yBSFrkn92dofiwAlPcFp9EjAkB3U4OWdXx4oJ4X6fBYCJoJTlM1m3KCRlRxSyh3bGEHkekpFW8EWGJ24ieHv/LJiN+xYTOWFRxyYkW/aNUqCWLoaSa4kU+SUSFnIMbRmNIxWNLFhi4Th8mMeCMFiYh+WNtAd5JCUb4AWRMdiPUDAAEWABchOZVCVvZvSFu9CV+FiMWViQuweQClmRDCl6hAlj/GYNxyYJG/masClBsZUMPAkR5WEMa7IIgLFApTaU86JaWqlaTacdgLAYwlI9nABacSKcyQkIAsEdbJKbnHZbVHeTtdVYdJZpLnl9ibGSnLRojchNvJQDK+cV8BMmWVcYxXOSR6VnSmcg8zEO/cMDVbJ/EUEIzVE+xzMuujVB67eVUxCQXlkMYFlXYlkFyoheQ5CXvXZhymeWfgQD/7UhcPgVKxRgYH05BXRZl0wQbYXli/y2mRQaAHF5oU6QoE7ARR8Sl5sRcMTxZLN3AMggG8QWRLeREyOKkTyAj1DQjk2ADQdmoHuofHRnhp+phBuII1SBb16ocDxgFMMxZanZofK2kMgQlwfnmgHgABkwAxkQmG0ApMYhprEZPHMIkic3oC9GXAcYn0awXDpwVJflk1HgSrpiiQeonFCAfsDkW/U5nUOJW7BlW3ZGJ1DAHQ4SJOtDf0rggKTAMGhacx3kgGf2TZhgqPJHWhvxfuEZALcFGYi6PyCZaPdBdX5RJstFdh4JcRt4kDywGbUSlsAoBbHRYlH2IqpRXxBJUv9idSKqUWSBFCsjMVWWQW+KBKzBZ2PGaFRDOnsyEmVEpBoUumFBSKVmiURRegwSYGMaGFNDQGEBFpfeGnwtg1bSihrU+kRQygIAEGWAtAVqRzdMIAE9s2HwNgU8ioO6YWLJh4+yagw5oqSjmaRxFGXKlhNoeFFc2E+mmQzFWnFWc3FbMUlKYigWe7EYm7EaG4usFh0G1Bw54DspWWnCdC7d91udOqfZCSYtl35SgGe99J7bVx0AARauBVvPmS1hIS39Aj+fIBHMtKnnsJLCVHUGZAjlFHPrUZOzlD3MpBZsMR01e4AzmbTyFy+ppamglSVTd4BSWx5KUKp42BcoW37/fMZ/WsCkrvqqI2hrsxoFCeYBERABayOOEHkACSADF2N3M2UTSON7HmQSxjp7QyMCIqCsUXYCHsACElADlrNtZ3mPyRdXRNSDF5oARGVROOoBhou4azM0jFt8KoJhYjWFGlADYlVfL9Q2EWBEQsSwKkICmDsSJ8J7a9UyplcFNbYCEcBEHrACwNsULvFRK8C4X1RILamaCUuDsTtDw7qs0LtVgkAqS1qQYPheI/EBomsSUypgGUOZRrQMOaG4ndsEX9aEZZq+ilUEi7ElAcisTXuzUVMGnEQgcPaTghaoEqi/eUan2CO/BKi/+XOz9BdBVFcPsqRqcxpMBXwlQQIX/8uTPPYjYS9pZ/RLD+SCHQNsZwEDf54qP74iaRUMWhAkGbf4BSWoef/UKAfKBDNVEoviEksYhSLGAy9MEshKrvElst06Ett2wz6sN/7GBR66jM/7ezARhHw1w8DKZDBBAU0BxOO1oHRFesz2QiVRrV74upSrAhS7i8Yww6QnE9CaxfC6sOabREiGxjeYhYqypACZfPxKSIPrYmdEEstww5BLuWCqvn5cSW4mKhvMv1OQP/zCDhRrTe4zcqGFpwecqLpllORHnY7Iv3nRDhTxvylbwIEoCkQLTGryP9DRKj1rpzM7Jl4HHWdBBqL8L65oXDFHMAixTYuwLcezyhL8h/8OTJOnBRvveEHFMIJr97aT2TglQYW5mEUCMFHfqCoiZQDP8ATCmrtMQLckwYJ8AxMM4AEgKo4yGKJTNKzHEAF3TIXKAAB0W0LYvE8jAQNEsyMvMAIlFM34xc4Y44+tu4QvgAo78mwmSABfnKJ3rEWPQlEicQxtI7nezAREpRKWCXzyuF58a71NWr1JStGPYgIXY1XatjRT4ABiBVgWMA28o84sIKcQ2cdysAxvIIx/DIfqgovawrSdRdO/gwgXSwmJodOWUAjJOwaO8AWTYNNnRghRENRggtRO8h9EvZRDfcingAcbK3GGa7gSu1MRYLgefburkdWHCwWHtNBZIAH/Vb0CW80qXi0CZ30FZN25a+3VysqDZU18Vb3Wd9DWhyuyadDWKyDTfDAAz5eXXOw65fvShn3Y3wRpiL3YjM2HiGFKaHpm5ODXipXCT5BujZ3Zbsh6S0Bh/qzZoB3aoj3amr1dtEjamzlVQ1CZMFXHqP3aTOISEsm7Gh2CsH3buJ3bun0rpp1zuG3ZqXfElfTTu72RZWwSKjTVyr3czN3czv3c0B3d0j3d1F3d1n3d2J3d2s0b7CthyyA92+3SaxveCInR442wwwDdfUDe7N3e7t3cA/AAIe0y713f9n3f+J3f+r3f/N3f/v3fAB7g1uBdAl7gBn7g/d2uc4vgDN7g/w7+4BAe4RI+4RRe4RZ+4Rie4Rq+4Rze4R7+4SAe4iI+4iRe4iZ+4iie4iq+4ize4i7+4jAe4zI+4zRe4zZ+4zie4zq+4zze4z7+40Ae5EI+5ERe5EZ+5Eie5Eq+5Eze5E7+5FAe5dMd08Vd5aHNqFae5Vq+5Vze5VSgLsTtHURNk0atCJmg1FwACTtdCENxCc59B5/gyGtAv5AcJHCA5Wk7AhRgj0zyfFJgC0tEeDMg1nfQE4SHAXwOC7KwJF5tASsgsglQmRag1lAg6ZRe6VV91U/g5/iV1dTYvV1gAjOQMd4gAZy+BWmt6WRNjY8+BYCdAA/R1r+r1wFg6a0+OP9QpdVM8Oq1wOm8zgqMywKU/SiALtc1cetTFAtTGulQ9btD4emOTuslduqaY7ic69HBwOf41euwLte57tG/Xgs3gTJeCgOLrgWVee0bNxZlHr+4fAWGDCVgCwYGxEBpEeaSYEBL9+7/wEmdHDX5sy5n6y8KYcISLOeHKhFe0Mtw0LXd6dt33rMyDdxNcBWIIQGfngcomos2asQ0zAiqcWQnqplxgPEFloEiZRJhJAS1TRIEwFS8UBJXw4NVbABX9gQJCjfzLQD0nDY1QdkbrwsvBG/WfJHGVsUnyND1yHyui2wNLQCInqIpLxLG2vLI/SU9TEefMUeXEZg1cDsq7fH/gfn0U8htJD82U382uTj1BrDyDH0xL/L0ASUyFC95URTOSTyQSTTYSMy9o6LMsfsFuQKAlFwFhG8OL4nwfFieRVsPij8tBq/JhLydfIEK9kNog3YF2FMYSJcFDB+Sq7rUeiqbjP8GACrQrfoEh5TDgXuvcMBFdm0Z9TUAVY2ajIDxLzW50EsHbjcqA+16GgZDFCrFI9qDBA23skGhWByFgZkiUFxvtp0LPUwpnXPNfmf8PQRkMEHN2j/YXE8Se+fE2a/9OHwyLshP3y/zd6PMYb+WKiLEiARRCeuFdw+Gl6HtTkyMMJSDAgoEAeEwIBkJkEnkhlhQKk+kofOpZLCI/4EBBMn40GiN7Hg8wVQFFDGZTb7pdJox7nbLwXf1m6LdfsNx6PDkhADgdHICcA5v+hwVD3V2CBX1LHfgEh/ZDA93sv52cADu4Cg3hQ5z5BbhGoX+dHA0SA8JWxGFSuNQAzpthwAweXsL7yaLx/5Ok5sD/nA2d3X4nJuXrc0EmB6NBFBA+kqQKqzNhxaQDvomMtLWspwMpM7rydq3ydLn7ZvHBcqZSyfghAcNErgQpKdNAIEGA2ScyaclIYUYA2q4myiEioEYEVogidJn4LohJTAUXAEyScAh3lDAczbQZT+bRBKSI/JPCQos8UR+rEjPQZIXICSEFMBvTNEkV4Y4Ff9wFKFIekWOLPUQIcKDDDV5ElgpooVPIRIsgFFrQenIADXUrtVoMkCJGU/MspH67WcAqVTbXt139R4GFBZWRsgqQMUUkQarEpTpuCWRBQZeiOBqIgkBQhNcbCTj7UTauDEsY9YcgTMSz0LgxqVhYe4YCRcEMAjnbEtQjBq5mcPGppUma4eipXI15E8OALBs8ZA+nXp16roiIeszTIN179+nfSIyLPmvV71aaYe0w3ip5EKGVSuVQzp2Hecf/QI03lSzWjueE66/mx6BJr9I7iOwj+Ga0YabAQZgZogBjkChGjb+qUlBdtyhgLAxSmJjsA3rcVCfpRAQAkISycjQHAn/QtDpLNwMSLEuJPK6sSEhGLLRLyTUOEujxgJgKIU28PGQCAcOOIUKDSn85sKZZGSxHp6q1BEGEXCDiggJhuQxiSMDoCK4ABIi88vF+KLszDRPsqoNbwSgC5V/COgjAdwE8PEfFLjMra8s6MSxLzNxQkLNEbWQkIzeADorIZe8qXEMLCPtwyndeAyNmwQGsK3CKTfZdDcyEjjCUkIzwCDPbM44wUcHzmBgsmQYnCMTc9ILMBbn4NtPOUneEwKHHJAFNhgioMEjwCwCTE9CO5AtFhRAMAFwiOII+fXZTYrLIltC4mNW2D+m7MS4/IYZZAjuzPWkPEWSVSXZG5jBoV1R/66VZZdV3IgkB2uNneaGb58RVpdqiWgllFOOveFYVZipFhd+2ci1GNC2qQEGJDDry4EOSAaZZJJf4GOABUjWCIaTO0BNCBk6eCGCDpLo4EMhbkaZVDI4WKIPMBUScamdhXDgY5AP+FkIC5ZO44WrJCBLCQo+ODULE0EkaIUH7hIABpm/NOGMM1DwkQiPwxagAw92G8AEkkMTm2QbYs6i55pJpVNtmoTAkwh8ONXm1SESItIpFAgJ2jVHA3DcTjaeTPpkk09OecnFDGg6C8DPaoFksotUCokXZErqbY8lemHQZG5r6IEsHWAANZheX7xxiV6jQm2nXiPCcdra5AgJIv+TflwICAzIVC8cnW4jgRidbxH6qGzHCgMvxxjenRx9X1L5ANI5QYQOJNL5kX+48buJLIvADQXQ54zRLY5fIF6rNb/RehMYUdSGP12IZh1Y2glgtjOoJYECU+PRGQ63vOMNoSutMhnplDEgMoTLGn94hX6IAYwAGCwLF4OcIdgTgHH1wT1kaBfBCpEJYexAPR6MYSSiR5xdbWuHI4TDlEpRDXgFw12b6AQNFTZEHyIoQc/BBRM1uEQEKSthUJRFFqaBnH4hSD1VfE+7TlEKDQQxXkzcwYVAKLCMRXFjdatC8DD1BE7FDg1VokIVZHWpp/jPNu5wCxscd6bPHY0MrZH/42QmwKYkBCeOQEIaPgQphIGgAXlF0sgTNMSBtinBRnSso5oCt8csTG+CKuLCqgQXFdeEUjRlklGIiiSRd4zGj0gbnEYC0sin9MWQVpAJ6OjEgKvsJQl5FBMSNtkQyD1iIAigH6Eq9DpYMuQdsWNKp4rHI3cQYAJ3yYs1CYMPsxAOBAPgyq0cdyQJcGWZQ5hAF271PgGAkn85GtwZNsAxL1UqnN/7ySSfQAG1nWieQkgVEnzUm1WhA6GVY0et1vDOOm6AEN6wFTtRoc94Gq96d6wCBsJJvSdwg32DzJQnnzC5eC2Tg84wkAoRJIcjOnGKJfQE5MQ40+mM4YiOeiHC/3yRUyW+NIvtdGESFfYwX8SCEMc4hTDY2AaoyqKIQ9xFHXZRDQDoAQ+WwM+vBLEc6DBCXyKUosTadaGLhTUXzBHWMLoIUwDZ0K1k9USApooItsJQY73gGI7YkgQiTQAMD4gVGL5gkKeBISsdAIMNaCCYJHTOAnyyp46yyYbWRPJLNBqoZQiZBakcZnarfMliMmOBIzByKR2wgAUMa9qtuYOzkzTAByzAuwkl5LaqTYKPiOY2D8DWHT4yTVZQEJcP8YR7Q3BcTITQGlsJSUaJlFFJ5WmSypGSk4UUGofGR1gaxPYEH3gAGBT7I8CWdkeUKQcdoftAwFYWntpMwmFwtv+UxiTAdEvxb/OKlrx8PLOe0tQJd38LwD/GUjK7JQgCtPHNIxhTvkHSxgt6yQC1OcF8nGsSSdQB3gUXeAwKJUGEf6LgcIpkDbb9gAjqNt3RGNJHz11Da4Kkynw4lA0R4NPh/voNqynqLCI1ykYp+GMk1XJtYFAKBdTyAXgUKrWrZaUgYWkEDMDgBR4QwWIqudI2tPQa+3EYvHoaADyQGRLO2uByZjiJnfZrXfwBBAAQ5jBf4CFe0XCYGJNxsX99qxTsSWtdi4ULoxLRFC2EKS9+caH5jIGG2uLpmnk4oFhciDw3PKMxejifWxziQga6qU1zkZ4yXgjTe+5hKIDa14z/1i04VKBnlCwkDvgxNIBFqluYmctH/i3Ueq0c5DUpEzxa9VpHHiGCDOgyAQtojWMjZnBt5WTJWTJ4VZAKjuGIMAARvE5HGsoCTy4bgATwFgZu/J1EZpBfAwQvwpTgLjcA15oDUG9nlfrs4GJ8K1w7jQrKPsNCaQJfrSWEANWAFJkYEpyBqJNPdew1acRA4NNmlnw60bf9pPDMf1D4H+sgXF9EDrIUUfMJGHAJQPEi7PgxG2jfHU009VgnbYPDvTsBGT0Gsio6augyMwBwQYew7pzJUm0Y73j1OrVJFFzlr4d7LhYKpYQZmLsdM5ClMNsQSDZwjLM6mgHpoC3fXBs0/yvBsQAGxR4wYry5rS69c7amKtNdQYPNJiSDu+IM1ABIx9GU1iK0gDFTRM8U0LiCooSyFYmvFjGvi75hHLj1aDk0hwhp5k9c7YMfL451XZyvIn48r8Qlvgcaw6AiooM1d9OT/vKnUP1YLV+YbfsFn9Dk+Ll3LUmbB2CzwO+CzFkZQVHRvGvILgKTe65u6tFzE/v4LNdMaicuGDPu8uWUtpWPoeDHaSk8L8Mlx9S9KuRY286TwSKFzxhxRsnaqWQDHWXs+3QTbcFKeTkSPuDHBiVJZMJw5EAb2A94oguyIIsGbIABHTAMhMBxAkLjzuIImuvpVGD++O3p4otOmIJopv8LxdABbdaAjvghyAAlUBrs6QRgBl6MvVSKlRhnTrIizEjsS9xhBGsF5XBkN1AQ6IYPuyijM86vCugpneKP62QJoQCO2egoRWInf3yLxbamCv7tAkupDDwFVaZvyapkHHoPDDlrq6Iq0+qsGNCFjNBMhjAhEdhM8PqsEFaI7uau83xBCKZFWDyvihSADc9wQezl1C4PEeDqPH5BFMrKrBxhquxjFOCl8GKPGeoQizyh0l5orIoFqjThpd6lP1DI0ozl1ZjIpzQtqRTG1T6oEpdoD+9wY9CmL7RhciyK3HwO6nitJrDvJVhAAhJgaFQFB28x/I7tQ0iQ/NpnwpBMRSz/oANm4Bk1wvl8zdieribKhx54DCtCiyFQYCuWyUWGphd/8fyaxwBg4JLsJOgoAAYkQknibyoCC/6eDgF8hzQ+hE6EkfzyT//ILcK0hggHImwoIHeSAAae8SANRdu4B5KSIcKqwQK18bKaqR6zYuVc5rXciCkcyh/dSSMY4LUqLgXrJniGLv4MAHlaI77CbVI05fhskOM2slZOBR9yAyQnSwirB9ye7QGjxvxiqRxhIGqiDW0ecteSAm/Oxnk4xp7CpwimpAYkghZbwAZaQJbMTcC+jwup0Rvc0WgAMB6Hrys+ZgZgAMDKTtZGse7K7D7ECtCOCNDYrBB0qO4SAO/W/yhBmoHMsiVebCjviiE93qPQAmQ+ouXw2syKcs8vVQ1e0EVcogiqdsA78sqKkuMNMMbTNu+HOs8teygtjSMWDHNb6rClGjMY3vCG6swT6yr3jjCCdjEibZH8rrLjKIzBgicZ8GSZDooxHIFR3GkMkXFGBIUdKu4JrI3sToTYrE/4iI2fivC+kAYcnYG7COAnZCBM1OsEZCYpxgelRir+bKD36GS5cKSdpHP50u01AbIKNESXdmkaXZO2ikHpEG78cMekbEBonJP4LM5SnOLbvmdKeukJRHIL+XMiBiKCrOn6OmQZqWAGN86e/rMjpYQIBlQJmGIgKkmislK06sYkqP/zJ2pAsNSNC2bARyDSoErrBCIKgqYkG7Og+8YgAVY0nh4USbrQNuQnNoVzonjtBb+TCKgjENssDXsBNLWjDSMhOeJSECUBWezAXiSE1OzuSeslE/CligCv8VCBrmrP1aghXtZFX17o9qRKhIII0HKlFl4xW75jGCQmEOSUDrpFMxkNGbjUPvROLYu0rmJqi6CoGtaUz/YshYhAEnEPVkSDIfknA41vNjksnNAG+doAUmZTwNauDXzTvgQJu8SJRyEFM4bry5hvGjlLHgiDUTZ1P6MrmYiNlS71ERBQJuLO1p5QAK6CRmVpA1qjAntCDEhDbSAlH6Pv5oZza4Dzyp7/0wrJD1Be61lFwAM8AJvOhGtq4FmxFVvh5q864AFtoG5eZlr50aTqy9+iYjE6LDfCgQoowFujxgZQJyoqjgJItXDOgP10BN+IbOOkcSDKDpte1feai10fsGSQoGbgwQEuiV4xcDeWU8d8sil+kMHwVewYolsfEFzfplJZ8tqyoGN1L92SDmQpNGB/kxo/1RFodLJ4VUYcAMBgALcsoPiWJVHn0ki7dEkxE0wlwVdc4TocATQRk87kMGitKBIy8/B+IV/klAwQVUnrLA4dUxQbUYSKgzFTUfPEhYbYIE/lbhNl6BkwwVrckhVJczng6lvaBYoqM2t3KPDErF9YE1kX/zVZYVPXcHEJb4kaH2HZRNagSNZoRuwYlVUb8XW20iBVQ+ueqHFTVTVLzJVQhkyZHtUcgOcUsCtx1sQAnG8AfFEOQAegButeZWJxKNWVXO4l0zMWb1HiQozhLoQIxy5ZTcQ7q6BGusnihk8LM9CjBmsHJyMBWOAXxWlddVcAMGCghJd4J1UhZQK7Jm7Y7pFPiPVAb9NYB1YJmvDnRml4i2RiXSknQ+N6r7BNlu16S4rl0OBf0aS6/Am0eHN21bUPAtd6l+k1iyw3lnFCPrca489OGDWDXrFhOjPQVAENAwSuOC1ry4o9mOENcsDQ1paGKDFrsQiJrOUGKi2CJxgZcP/BOFSt83TWEq/IzljBzdAQWsR0DICW0eJgMP/US5UjrjjYUVTTacVqFA1VhtVsQIporM7DQMzjTukgEOpgh2R4EQw10kwzqtBSVuXzZAWJlKxNfHSOoOxEdv0iA87xb+vXiv9WeOBnVuGXTPARSZKVVSk0UxkK2R73iu3rcJcEeEUrxNrAAQ7yshZnSjIXclUlC58vtKSCtSgXccaPCBJgBVaAR6l4ZwhQnhZFJ2gy2hISjRdVPrMODXD3AoKyk9kRZDJApe7TijcCT3Io7kzAHMkyKNsGBsAOkL7LfYJTRxTUs4xvH0cpK2JVGzvUBFa5k9tmBl655jbiRmd57Hb/MBz8lo+FZgIu4JeDUglCuQ9icvcOqoqTzxFgdDdjNYA7y0D/h09s5Bpb9y5ZKoedwTCRKIiHSNFQTRIsj/IK0xTq46gs+O/gQG35sBRETz8IZvbaDBl+AQeog5/HjEpRYWl9AQCeiBfcmfQe2E5RLa4Y2k8pwdGkpa6AhU3xo9M0MS1LGKBdDRmU6hEv7zwyWm4VtVqjWJ4A2WMJKscs1fj6R/c6dAy+OOcmR+mcJ7iQx8a+ZAXkK4JaQxq1zNocN7T+gf2eixASYDJE0H84hhjJr6YZl9gSghsKbklixZb4S7aCy4yzApS04abJIDZsiTk/i7vUxJm30KF4gkjo/8TcIiCiWhqmEyAC1imvI4Cv8xrJIHIAYoQB+kYjxHpfyWDZ4vceAlRTDg55/DXpvlDbrskpDjchIFTA5DgLcM2oljKHeE+/eE2m4SQAImBnqCDXOAardxd+KUUESEWxA8JIdGy6ThtxJ6JqXochNMSylxF/JxBHUkeo2YCnD0cegItPztKJsaqr6gCGjJZYpEiEn5ShGUFXULgPINMVcZYOQ5MTWDEWRmEXmMGfsVuvDhNgpMjPdoH18sCIKaYX/HIIpoFcME28BVgRA8HOroihLdNn3YW8P1G68Ruk8QUyawgVJYEPEHWqoiEW8BQPtOqnFlH0bLZBaNdun64gRP9ABIh7b6eiw0UAHiZp6iLjcNHNFm0VDHFZfkPcAsSVJ5rGx8C3/SjAAzzXAmaAG/BhBlxHAthLGts3DYbLA1pscTsuBPnEQxLAkFxiHAAlAsyp7bQyxDt8MpjrdeikIFggAnKCSMJiBdBCItbODN4mAlhwscNXALYiIRZsxbX5kJ/uxjv8w2VcAWjcqsP3//SXlaZiBczJBD5mtjOcb4uBwGKjtG7LAcmmI9qceyUJa1aCvciXcSO2AMpr0juDEiRqKhrAy5PgKioCxyPCjk9WyHntX2sAssjrC2wAg9wpNCJ2ATK9Kzb9R008MIznMDycvvaVjgoir79cU6vknXz/3MNtHUjsOgkMogY+1HjeZtIlginM4NhXYHIPN7LBq+xo8sbNiTaADAM6QDNIdQsHwnY0oAYqbrkHeG0RBLq1293vTC6VmIskxIS+gwfu9Fuew6PbIBOrFp4dk4kIJq9gKItwKNOgqPSgSDzkmxGfaNQWXkLSSD3SCGnHim0JeOKDAeFTUTVdrw/rqhGEVvKaWN5Br4rmlnGrVcM7XZSAApN+FAlz7vfImNjh+BE8an55mkDDDI/Xd+YJ9JG2NyCQG7QWipg6I3Yn6wn+rb/gJ8ubYnvlkSLqaKHUF35sNydJdxNgdGvcyCVLtI4qicfoKHhgTgkIvW4NvRcIbOeV/yA4tr4m4P4bfrt5hwDqhZtcn4CsXaB52gYDDtdxKr1kibXuWxubVNIFfUme0MAlEL8hLkTpq56gXOLlCZRssr6+GF/m5UuTw4wmqxemE7sJJeLbqJ7rkTfov3a/B5xtvUMasmMU8AqkM8FRLibf9R0184wV7bmEtfv2oSWLYMi83cDdB2b4mUj0Gvo+uqM6Av4Op0o7GNrdD0YuGyY8EKbk88Ct8uDd58D6Y43g+yXRkINQUS0RPAj8iSAT1la9G2ZiBjij7tqbKSi/KhmRfVntGQoITjSMoGioBJLKgKMoQLGWyUXxIJVOMgJK4+pVmmZOaDLRchZPJO9khBackP/lM/r1gK/Zbqecg19SqS05aKEdaAzCvGHAIHwlmBQWySk1FZFdRew5zVgtDZgQoaHkJUlAvFHEeJ2iGawCVn1dUQlQfkXAiD5FldU6MZROTS5NEBmoKMm4vBm85GUJbBQzT89eLxUQx745WZuiOqlKlewWvfTOGj8pLJW/oXuFut4mtb11dC0lhNdLORBhkI5WN29fJjBD0U7JuzoLlQSiIcaIhyUyLnQz4AHRkggdmlW8ViuZqRbmLgmLRmDTE30B5k285EjJhBaSnHQQlgQgL2zRvul5M4OSBJYCGMDqiFGcBS1Al9zQIVXHDo7Yrl7DoRUHtq04eIANGxYr2bL/Zst6Pfsl7SwAbL14tapW7du5S+rC1Zp16zW3fO2SjaoD0d8lAKTmCIA3CY6pUuUCjnw2EAkJIi6DmBuNi0hZkpdYvrwCW2gRo6+UdvkZa4TLIlTva31Z5+ovpVdAVpJA9mvbsnFf4525mBbOtcveXs07wvHmV4V7GcAbtlrprql/4p1bSWrn3q9Yv4wd9HVWvIHbdo3ebmkRA738hj99Vvv338mLZrVC9PYk8a8KJtUOANxXoIEHIpigggsyuJpg/SUBwA46JNaVY4M1KFktM0XmhzTXSJDBDIJkWKKJJybIARFPodiiiy/CGKOMM9JY4xUAEGijjjvy2CODD/aF/5iPkVFhAIeASRDBCsPNouR4Q0IZpVkSrLCklFdimaWWW3LJYI5dghmmmAgC2daEFY4phTZGptmmm2/CGaecc9I5o1h34pnnEnmKdQWffwIaqKCDElqooYcimqiiizLaqKOBRlVVkDrcICdlj2Kaqaabctqpp5+CGqqoo5Jaqqmnopqqqquy2qqrr8Iaq6yz0lqrrbfimquuu/Laq6+/AhussMMSW6yxxyKbrLLLMtuss89CG62001JbrbXXYputttty262334Ibrrjjkluuueeim66667LbrrvvwhuvvPPSW6+99+Kbr7778tuvv/8CHLDAAxNcsMEHY/tlnQsz3P+www9DHLHEE1NcscWkRWCBBR7os6hl+52GTQIjA7abCBqv8JASA4zcsssJXLGbxr2lB3JwM6/3BcswG/hyywN84rPLkIXmAc1BCz0y0ScbrfI1HMyAAmyWoey0XaDAkHUGnlzctddfgx222GO3acFJBLik8FUyvIH2NSXwodY9IFFTUNxgnE0d22i4jYVRApDkBdzbfDd4RqVoY3dPLxVESjaKH5WOCc1wfY02JCYRhgGGSDZAOAaAziLZo5Neuumno46l2jD+koo+q88yeTcoMImFJP5ctU5B30wAuS1KeNiNcZk3Xns03eAeAEJ3F6444pBjkrjwzysevd0p3Cj/RZHUd1O5WpYI8AINNoSUuvn3wX6++uuz336CuqM9gAyFiH6N7i9EsPeHN0r/+1nGoMACK4iAJpxAEglYgAYKpEEC7/AH5YkifjIQBe+YEb78iYJrEliKADxAwEj4g0D9S95qBhfABdLAA0yqgQIT2MKlcK0AzjBNBGQnAAJwJAIofGERrAG+F4BAAnTA3BfWlIcfNkCIaaBNWQZHQvdBMYpSnCIVq1jCS6RjcCxKXxI8pJBhHIU6hiNcZDxHxisMjgAMweIabwi8SyykFsYZHAWYiMY3PFEyTjxLAtzApllYggFP6qMA/pg4oCQOe+DhyPbAiMgiKHIuHgqcFStp/8lLYjKT50tjMQJSuwA0RRzPKEM4SLK8IlAyABu8oQMpAQDLtMCCW/jAJyP0JS3Spx9tVCNNtCDIACQgBKi0hyxJUkqsrBIFrSSPScRByxvJQBFpKF8S9mgWE1oNNH48EjngmITEUdISOFyCCSxIAQ/cwQB5AOcgijBOmjTzHKoRYgc+UoR61tN7mtwnP/vpz3+GiZOVcGcx/uZG5WlBnd/kHDcQUItbGM4cdcRGLSJ5BZ78cicEHej+okGi/lkhGgwAwSsj8CQqYAABiYOo3SbKHTq8YQNWcWKSniQFXdrPl08KhyJXiTkALA8TA+ifK9ZQlEKmRAuYCEANbpIGDv/1TnH1AyhVq2rVq2L1QCGaBIHmRpRNvOBkMJiBNdZBBvD1sJ0feqg7CtmBD4jgARbkJStsyE0lAKAWldtqB+2xFEWaNQpo/dA6XhCGMSBAbTyZxkrbaoC3xjWCSwhH+OLqhEiOsQjn9IkWiJiJpRAALGzobB6OSsR1zNEJYd2EQk2b1AdG1QABtIA0MyqBByiwEOJTIDWz6tvfAje4wh1EISgwVnfO1AhJCYAMPBENqa2SAiJIqyncIAi20sQCxiOt9gwQEwFYVApb/WMliquLc3BkeSON7nQJu4vNoeEWR+UMdu2hXeI8kCevqAQRUlsQAmSzi9S13QxiAgM7BsD/Q0CpbwAGx6ajgjcJZkQqGFlahJmEgwC9mHB4A0CZ4YI4xCIesSaDJw6X8AOS6iCCGh9qiW94SJEMLmIhuUlUugruErkx8eaGtzw1eqgCuNTdEy5zgc2dwCVBXqj/OvPHihpmJNUUAAwY+ABJ6LO6Z7RHN1KpzWG+8QnDgbBC1zFSmjBDoR6+xJiXUmZmDA+CN4RMI0ls5zvjOc9kOwMRsiYKl0YXwesgAE/UiEuEsqPCUhiACDpQ4AIfQycysIENJEG76OD0cZo9LwZcOugIsLjBaT3eO1cZYTl/MQCN/YQFHP1oI+ThcwUe6wxEIYcENOBLrdgCEy1xadS0wAYd/5Bl8gJpPAsyQGMcVOiLv6xm3SXbAsteA/ho/erFQYTCet42t7vtbThZ4gSwUOITELFKgahDqdZdAy5TfIKZ5JWME+DgGzy7hKZ6BgtESPI/DFgSHcvZuH8YciEoqWBgooK8DJ633VpL70U0+Qoevauq8z2LBDiQ31dInD5NXG9HCFTLmLNhRkDuO3THQs3fXjnLW+7yGiUSv4J4rn1oYg5FDlkUlKZ0cckXgAk7Y2Z7oDh/sQ2RFRHk1PbgLpFPnfMtqObpAtj5sIsAgw5UBOgvEHqNVbmHA2jMaGG3AIIrHvGld/0qE/ZHNMg7iE1IV5hnDrnXtb2TC/zZA3LPjP8JTzb2sBNE5S8fPOELb3jnHJM7fjSqGzLKhl2kmuNyhtw0NiOMyxGdy0ZX5VK8nHiRO+KUiTZ7SHXaVvf6rvIBEUYj3V32WcyYcXMmS6bBgNyLJyAKZu5CCTYHFEIKgDa5h1lUz9xsstT58MpfPvObf1MyHvXBe/CyboSZdkIiQ3kjmEHWui8JCoQU6YqHQ+ZR/UkT1rL2EHZEii9chunX3e1D3v5Yuy8KA2xNzkCJ/jq3fJVVuh0wWV8eaVo9BJP/ecHBIVqqKQ8z2NsSKGBgId8DOV8FWuAFelst4BhPkIgXzVPIeAgF9AIdnRThDBo5wZp/0EY4MGAShEOWLUD/qHGUmnkIyg1ORtXCNxyg0iUdJZwg3mjbDaaNKp1GAuRMgi1Rv0EdaoiA0xxPPfBEnAGSKBzQUnCIhzzgThzDAe1BPQBABNRS8mHgGJJhGQKXgxHACiCQKKTaKZ3TAKwh70RQBNQABXVGkx3PAbCABPyCmmkDDAjQCljAJoTX8VBcQ6ShBEyQNymPN2DQgN1PA0RAOGSh2fmgFswAOpCbtkHYCXjAHkbAGZyZMRgADZhGozmBPuXg483QAMGUFK6iFyzACXzAADnQ7IGRuIECGiAOBdRiBDxABCXXOayAdNAWDw6D4JnhMjJjM2KS58BXEdzfkfBENwAFyY2BTTFY/+s0w0wQFd84jYe806JRVjei4OzUjsdd1h3eAje6AlQ51RhkRtONAmwcD/XRoxNkH34Bzhe4Y0uAxsPpI4cUwEkAJDcUhD+sSfk5Y0M65EOaDiichONgQTmekf64k01Z4j7A1DncAYlEU0YcghS0HwlJ5BtQpEWYQ9+Q00n0FkFgwC1gHDx8pDBsojiEBMN1wweoDIGYUM3VhEGmZBstFTmcRDz4DRp0wBlgTkOoFguszjJ0wyhJgR9UYhniCERq5VYeBxdxicmIB4ioR3rkR2R0h23sB39IBlgeDROWZXT8RoCRxVnSh3pQR5Koh1zOpWu4RxnNR5PMxiyER1vCR/95cOVhImZimo5XKmZjOuZjQmZkSuZkUmZlWuZlYmZmauZmcmZneuZngmZoiuZokmZphhjCoGZqquZqsmZruuZrwmZsyuZs0mZt2uZt4mZu6uZu8mZv+uZvAmdwCudwEmdxGudxImdyKudyMmdzOudzQmd0Sud0Umd1Wud1Ymd2aud2cueo+IVWQEhcdCeh/BzJkGQCQEiGZIwFmIZeXokEhIB3eddVIgfTEOZVQU0wlIUJXJ1G5lkWwMBL1kZ+vh6MzNsMCGiWnEKBCcAMuJRRMmgnREYkqMJ4ggqO5MCF6ABXSMEN4ImHWiigrFnEQViBIsi8mYMzaMCuIBO90Sf/VmDjUTDkLNTAxqRniSAQ2dFIjtpRIMyoEizky63DVElGkNYGj3rHkIqJqRnBIQrALhDpVaxUiHpKAEyIhlLKEmQoloIoleLJiMqXdf2ogdRh8egKWTDaZSyeWVok80wJRjgejFiTjMyp9tidlKZdyynpd4ihHqmYc+wpmKSpCKypWzpQlFLUJHipp0gFDmDoVHBEYwhJAATIii5qnzAY/xFIjjAmoP5ZDOxGMI5UrkhBp66ZMp6F9LxAEokAKhAgK7jBr8VIncopAlLBDJhoEkyaHmLFjfrWT9xHn0YGra5GoI6JsHbS/tjFQ12qpmwphybBlXKoYORAnnRps/JA/6YWKqcySOLE6QRsBKm2hT/e6f/Ymi0xV64uWqy6Z4YQq4u864jOxAAAjfMlQL0aa3MUybzWK2DEq1rcqz2IX5ogay8p61wwK7Y+ypWqjGBMq1T0ZFgAgMJmK/Stmy3VAB2EhQp5SttxU6IIUYA6gDSFTy8gigzUUwPMjxGsKnfI1RggWMFihQZ+hgPgkxHUk7C9gALgySiQgKl6QQ2QrAB0AK/+nAnUUyFcHT4tVwAUUCqqTE1gXRj8CVaAQj1Z0NLWU1IEwgq0wAxsDgw0rRDtnA20LGq8bBq8QMicxW3J0gmsrWEoTzwRbceIRQtgXVBqVkWgbAdwkxl0ABBZhP8keCKwYd0mbpZZAKOI4GzT9m0DfK1mNa3y2JMBEIAIOMVc3Bbhru2XXM4KPMBEjIMy1FMpAADStuwALEDSWh0+dcDkYsUEVC4B1IAYPMXTVsFCyG4HJM/u8m3KRu4TwO5zPMDQvi7slavtHKxarJoq4a3YFgPdni1o4K0HbCIDeMB2bqnKbG8SQKphTMiAUKy2ahsAqOOFecpP+smh5OPtBcChrIk9xZdfFUSCyixpdOFnGI5YAAMICMqrXsH5CsBMMGlBWNT5So3NCQCftO1S8Akl/GMRLFfToapOxpRmCOTylqkrvBsWXMJNYADtHBpHnZkqtak0yIVZOVUJt6j/3VTONzrBcgHEnRjE/8TjwUZwP34TBrhdI60Sn5wdVgwWGgDF+f6SMWAAjg0C0q1JQQwvfWSwAGRZxaFqsiIqO2pZGClBDcjSQHrwE6yw/2anYEiKW3wvAGypXBwGVVgqtpKvmvEVClzGlQ2wpyjg+hbK8TyBBcAUSRxK69CiDSgCEkyYAHzAIDoBxQmrqRriZ0zAAu3bByzQRkgYZR2ydQVg7hSCHIsADTBDKVjABzzAHnQACpUC+ARQMG7U5D3BnQCwErjQHqDAAtlAKfThIc8VaDwApWEEqnrIDMBVqy0vWXiIAQTzRwBFVO3xMS4hmjkBBpTyRwjEZqiGh8SQ/2qJAExZlOgRLQ10QAj7J3dgBAyEFaEmcrYZAS67U46YmnQ9QDRecVWm88l8BI5JjzFbQC4nI+tpWyzfkyk38N6q8oChsgUEo1gcFQufIxLccj6v8lxihC96ACK7H0FcZb5OBjFAWAILrNVpTCF8qzlEMzhr71TswJXqwEM47F1A6vharLb9oIT1Zac0Lx4Piu58Q8y9r6H8ws4qgQiswToYCYFA4zCfKhN55Z3E6VoKUwva3J1M2AYgihbQFQAwmn3Ea+K8E0/MwEzgdJg59VX4pK0mYSN2GnYIa+IciZLMhZH6B9tq9YbxVN2QXwB0FSU3L/9pIRwkRRS6xCl1sP89UHJZWEBSEIgCigWJLI9x7I0g4Ug1xvPj/BGBRAA/wxac6YMYFslY2HWdAm0bZRRkK0GGcYR+OcLlMJERjahim55ZCJBdo7PofJg6VAORTIKpyarZbcCG0cE2W1BgK0+4bqeAOEalKAEZc4SEtLTCvjE0UPUXdErsKYGhoJZLLFai1EJYI+HBmlkYJu+90mt4i/cAWCoRFKVkJDRUBvCANaIWl0VMv43/jdflbYNHlQIAquvpJY9eTVaephxtbMhqFAn1dXScDZpVnFLyjHChcYROo3PgJHhzdNXA8neEqDaYalpkA6l/J13lJNxMaDZY6IRnZzQPHpIpkFbPIoH/7CBBFkhoQneBXmVlAHy4Iw/sf9tPbQOGXllfUVJzsqIAghdCBVDpGlPFSU8FmgSASePADaD0YLg0iRaq7qCAB6lMdCPgThMKzSmwVCMKlHlBTeN34OkEQkTjd4kBFHD5kcaqetuplCev/bChB0HIu0pgG5VVQAwEas9FvG4jBeL4mzvDCtRcWUhPLdpHNVpbBlAAGxFTM6NGcWT2n9K4ETzatfkgMyz1NQBK8TYoBUzEN9QXAPB5+x3JCBu6ahG6LJIRnx81INxJG71yzKACcItaR+n56U0DT1gBNgErhufIbCsuDVibHZJ5jht1WXAjynHUpxeYiJh3OuwelW5p/w7kiKRu6HFj6XJjq5gXqtkZwRPkAU1Tuk0LCnz/BHaDWeAdiV7bqTIqs+KM1O4dx1GddzK2+7eTRUeiRI4FcQMu76Hla0EKwBPH97+f6pEgq7Dm40jKzUkYgMPfurwzyQSAhXYrmmtlseL4oHm3a6Lajaj7tw/38qmzN1kg8RtIfMKnHIjf6WaL1pQhPDJtk64/+lNoEVhQNakvkQPcyb62fIkX0gVbdPktj4Yn3fyeHhqYw1KZFc9aqJE37KQyxpY26g5QbFho61m3ZJdpuab4gZ5Mdx7f+JCq+7sBihrcSQj0SSx4FgItkAvt0EZ4bL23OasTEXzGOTZEgtd30/+/H/3fl5WOj3aWH/x+v3ycI6vsdsM4mgXjtw1H3KDficBET7QI3EnmAhJBidP4GXLl+91E6yjaIf1FOQEMwBU6DZgYqrapURKqv7f8OsE4ara2XfgUiPjfz7p4wR+e37zg/1zCNQAHVYAfPFniV/HmWx1cWZZR10LZBf6OP3NZy7wch13lA16XUykOnIkUSKqSe0HWa/1L33uSwBQOdQrciH0SUHfZr4i6J3/C4sldubpaQNjug8jd96CzjSkQBIRDiaglQBI0Q2EJWWEOJxgBisV0CjbCiUvAuA4LAgMpekYHslD0gmweusvtdzowiFguSIHK/hfC0+PzC3BA2gL/DJjS+pPYO2lwE2ALSICoA2RMVLQbEzhgmshoFJKDM62TCBE4QVVD7DwDABDcQyoMOGXa1SVD4AkWHh6SeZJFkxhpfc1KZLTCig3gCLYQoDh6wWRoSJ2Ly5SdPACQIuVkGnP920Sma8SsUhg6LNWk2hje5+/3/wcYUOBAggUNHkSYUCAOHTp2mBvCUEeOPzca3gigUONGjh09fgRZcA2TR1XCoHFAhQGIkPz6pDHY5d4idAl7nSEnihQFb1E44HoXZRKBoH8uYXsVzkCoc9h6FpWiEkQUe0yjyOTJC0kKLl6yCln1C2rVNDd9gRMqDg2tAJ8qQRVzbBGVaJrQAZrk/2HPVyFuhUBE4w5uKnZDnCl91ctvuJnIzPWrZLbXSCEJ+NVDYhXqpLeTnnlt4JKrISQzBBA4ZMA00W+J1Spy4wrw4TM/X9oZNW8wZ5qZo1aZaldLS+LFjR9H3g9AQx04mORoSDGNxOYZk1/Hnl37wSwolgixhyJ4gqdcSIkv3hZJN1EeNMTMJ8qLPoRmpTkdYlvJmSyagzISYLQAzLEgKWTGMAABwAxbL7R99kOGvAUlIGWlq7xgLYoEWAmQCFJuk4kSzL4oDxmZMkwLrbMM9KUwkuhhwra3ZJEAxvzkKknEKCIIjov4/kiJj8a6K1GCFXRqrCg5ECBimXsky8SEJP+aSlKRGn0KJjK1JvMNvMt8PG3ABZHRj8pENtzqnGAKyW0rCvmwCkoVFfmESbBuSYdBUBxZZs53eIOFjEKUkYuJCMrLjb7tFmW00ZAC2IE553CAriHnhLhhGIuie89RTz8FVaM2CVghDzgZ7ECECPBwcov0ADzBgwgieOALlgpKVJR8bHqNiFsYCGYSHa+iQoAXRBDBg6I+MbZUGZaZEZlJKPAA2SOtu4UCEiwLZlhZnEBBVlYRGTPEY5HtMQtQFIjgw7pCFMA9GT70z0QvjEVWhB6hdDGCFUqVx4N/V5hKGQM+WIEFCUyg4gQ7kXnk4IQXRiJBPZsVhBQB56qSJA7/gSLJyVgVjuAIC8HMU0kkKIhhgBpueXLLTEYFIQInO0ZDmBEkVlhKsVrTChx7QGFBBgy+7A1fZEtUpM0Xar6ZE3UPYCGCW+pCEwkm5bltRa1c7GTaGDR4mY+UOVZa2TM+odYCD5jGq9Bpe1L3hRXwMAEGbzcJtW+/+w6AOuaYk06IHPrZYcC/F2e8b9uEXPkpdSEXgMn0DCkW8pVimk/X4RBC8OEzgqScABuZAIDZ9XqU5RKXvH1nAsrZE6KGo/s5vZPJhUxwTPUgF/AoygWIgcrZ4ZZF9UJDD9pOAHnnAwpChz8bkOlLT2v4vX/843G+jNf8KcEGa5P6uCwOx+Eh/3w2/53rIUeReaXsVEYgdSiPVpHHKedEeMpz8YVJAsUX+X0DGB7pmPJOhiQh5e8PiwlAjiAkLPx5TlGNw2AGWzKgSg0OI0wQHKeso0ESlrA47EMCBl5QHgfoDXIosNPlFrGPzHSKIDJJR6J45SdD8eMA30kDCusSFBQiAYaDsVnmhggAB8CshkVpIQ2P6LsEmMA00WMCt4SkLc8R4GZVQF7rrNjAG4EtNnAo3/CgMIAHZA5OuesEG6/Ih6XAUQb3EtILhGEenJkpDRI4AuRgoDY+Vu8dTdyiBe4ihJ+YkRlMYBgdP0CKegGCjW7MzOnO+DVUTOAC+3jAPrI4RiwWxf8YkqRkFin4BRIsqD98RIGNGukasHUCkXyggCJxFkkjnkQULiyULGTkua7JAJgVe8ErdGhCZjazIAPCQTRxMJAlONOa10xIBKyFvARoc2nJGYI5imAtGzJzhAEZjB26aS1fphMQ3hRBGDuxzqW5M4L5upYFAxCBPdrTn+7DJxyDMk4RrECgQ4BnBP5pJXzK85/ezGc6Cco6uBDUoOnEw6M6MVFH4HOh/oToR0XaiYRi06QnRWlKVbrSgYRzpC+FaUxlOlOYjo+mN8VpTnW6U5721Kc7ZWlQhTpUohbVqIxy6U+VulSm6jRXTYVqVKU6VapWNadHxWpWtbpVrhrVql//BWtYOWZIsZbVrGdFa1rh0lW2ttWtb4Vro9Q6V7qO9Kl1xWte9bpXvvbVr38FbGAFO1jCFtawh0VsYhW7WMY21rGPhWxkJTtZylbWspfFbGY1u1nOdtaznwVtaEU7WtKW1rSnRW1qVbta1rbWta+FbWxlO1va1ta2t8VtbnW7W9721re/BW5whTtc4hbXuMdFLmN9JrrkNrevuamkc6U7XeoeVwIQMM0MZsDFnOYmljnNWwccKlkTUAAGxevEBEYAAwf2dQAWgEF8ZxDd8I7XqhyggHhpOgBMoK+6/wVwgHebo4qxKKaAQkMN3AZEeyLIwD2VgAUKJFUI4qOPeuUv/+Sq5+CoRnjCdOrVS4NEVgGX2MQnHu0A8tWnB4/0TUOMwiMwIJ6FFpCplIEqgjUxDcEO7QU0sAEhozCGGbR4pzh+YIhHmmEeotjJT4ZyZjmM0yxsLMbLQIF9ZSEDGnzgoD1FMlN17Aga0AC9gg0zGrj8gXYqNc1q/gAN2gzTV0bZznfG82OnTNOj+PcMA8Dyl/f65p9WWLI/wQAAz0ropeZmgXmGdKQlvVNAdsADNXChAV7QZmPygQFCTpGBJfCAOZ6AVOTDEIPB0wFW84HVrH6BAibQgg44UAIdGCRYWmADXttghWmYtZAsrepOrwzUcTQBq+8Fg1d34Mzg+eIBBP8NiBp0QNhU08qwKl3rYnSA16x+thCSfaybdcDImgikEd1DkkjShbkyYHUDWlAslpGE1tZGQrM1A8he+xpu8BbvvJDZgErbwAsG8IDPDHDmIswblx94ygCS3YF75ffVzy64DTrw6zOMWolJAXgD2oiE83riZ5NGecpV/s/nwQ+I1x0ehEIdGCeabTC0icLuNAcC2YUJJdPoOR2Zy0jtPQzm/FO19WoOPEgOj3ZB4cAchSS6xUyPgHT0ebYpV0tkFLFiD/Pk8ISsPCGdOejt4wLk/Hw+fDew5cODg85XBoccYTKYEzCNAZCgvqss3VtkJ0QQg7lywhfe8MD+UBUs0Pb/hzHrWOm2MtBqw4cPiGDxGCBx9wbPhTKP/AQfeECZ3VMSGvMHRw+wAQ1I4acsGCCXIhj5w9L9eD5EHhAmiLOTUFDmMqNiaCiwQK2mNNA9GAD4sKeC6HiToywzgcs2CGTKKHgAXQowKOp6vQ0wgL4Mk+EDFnCSf4X1eQvcK0OjLvMtfix6koTeBhcwAA8pSIEXPMALFcjNwW72AXyzwQkG6IDKG7mss4Ay0z3eo4FXQL/3i7+k6D4DoAHw44OHEZaDsYBiQZH7yLzD48AOxDMA4YRJGI0gmYEzC5LvkbwhO7l9iqigMLQoADTdiIL+YhH7aJGkmB7TIYIWgAN7OAET/6QCFPyWzRMCeYg18KCCtWsaKkARFfMlzmA+imoK6fs6PoIdK8ETG5GABAQT7pOHENw7NAINnFCyoKlBs7GRAmEEoljD3mCKCbAA1smNWmI0MySWn+k+TviEwsgNIQyUDfTAQBTEEpvDpxixVOgQrUg0MpS/FXSnMbsy62s6EekCDAgFQnk6xKCKBjG5RIyLrnmHN3sTR7pCC8tAMhSAD3ASApgzlEHFdLANQByRTPQJHuOYk8mJIeivobNBRjxDGdSnXLkrOuA7PWkvO4wRW2QEXOySInREVxzEaJRGFIOGk2AEpuAaCtCubdy8XnS8hLEnSAwZSawHKgiF7pA17v9BRj2JLmckORjIAG4sRUV4s2rUwP8olnCJgKQLIE9rRWjMtrewKd1pRjSoMEIBBx3bJBVssnUMyMC4C3cgFE5QsQ7YxiuakzrUxPvxFoSEA4V8pDMYxmkkyZJsLgBow9/YgvdRI1+ESMr5ocF4wXEEg44jBaL4hDKwB9uzD0ZjyQoqinpUxz9cFugxt+yho3C7ikX6GtFZQ360gzpcEo/JhKmcH5eMm0YsRYncg5Vchmfwu5A0xrB5jUkQHY80oOZBA5wzybZ0S+FCSaYcqwhyEuqzPA+QMLcxkF5chC9KAqiEDSJski9oswyDgQa4mQr4CSU8C+Yapj+qSwnDy7z/fBuoqEe5JMqiICU6AqBVEkuRHMob9BwY0x/B7IvPREuv2UiHLIsQW8g7XMmupMtG6D5jkTAR6BPm0sgUJAwFZDHe7EW2fMvhJM7cGh+UjI+sObe44DomEIR7MQBFQ4ZDtANCIU1GwoATuIZs0AJM8MOeTJM0QJPmvDkitEc9kcWOKxk+kDnPCAB50MHACE0dw6HrC8/W7MjcBM7P5M3WbEQeypWS8MpGYATu6s/dVE3GeAuEtBM5YRGfcSB4asHipNAKFa27istSEMc0eEwQm8emuUnAHE8WsYfVsIeb9M+kQMdOPEYoKsjf+B4RtKcTfAreaJPoGskA0gzhpEcj//qyXOSjr3BQRhw6rJw50GyEsBjQLbCp1ByRdmRNIO0N2tmzBL0fxvwdW7HQLeXSzqpPKeicQKFFI1nLFwWL3OnQoEATLD3NynlJN4EZ22sR5noT2DmUJuBEUZhQWciNU7QEeRCQNpFO6ymS89gXuVCXQc3RT6Cd7mtRmxy8Ox2gp9CP7xjSI/2D12TNrkjSr5xNJmXCSZyTlIwbOsxTavjL/fQTR0MeYbnOLoXVWHWsL4XGHBkZCVjPRwOTtAGLnUGYnpnA8vREeKAWaxmCrLEYeYhOQ/mXCAiYgQmOx1mhbjoCuhMZDyCZIyi9/7iXc4mni5E2q+kl+0QBVRmXmf9AsED6CiP5l1NCgYHpCVclgaOLBJVBghdYFWd10wi6mm0RFi1RERvkS38BGCQQmH85VADtnIn81KShGgmowKRwmnwpD4LV13iB1tlkpSoqJSu1wTqDB3KU1ZEl2cOyqfGBl50zyPDRWOwZjBf7x5TVUkSksSyo17TTHjJgg6OjnE7CI5WFinTrWP+BnEEFBLlLPo6sBAlaAsDzx34EyoHiGt55mKGBHxuxMau80iJ9O8ipBBtTyYZlWKhVu6ET2kIBEKkjAx2xWiGJT/Xws9hgLiZ7MFf9x5LF27zNq2EcRkCinFwLIiW6gktSOy97RJBJgwjoAMFlRzAZorDL2bf/4KWK0a8d/Ntji5DN9JYEOFsDfYcIOCYjcsy7+xA/2B/K+a7YoAE3etQ/MIGfxQACYJ1bghMG01RNJbrmTKOoxV0+ukRPHVvOhZz6409L0NxKaBO9i1raRQLDLSNaSgp78FPGEFm9td7rNSyL0rI/Cih/8q5p2yk8oFju3aabsih3oqdvlalT4Ch3Et+CQh542t60Iqj5tSf5daddxN795V/qkhI2jTKtNUmZgNL+NeADRuDH4ssEZuAGduAHjiqwheAJpuAKtmCREuAL1uAN5uAO9uAPBuEQFuERJuESNuETRuEUVuEVZuEWduEXhuEYluEZpuEatuEbxuEc1uEd/+ZhD6agbe1hzLJa8gziIobhH5bCfbrNi0IiVfGAJAYLj/qnAUiABGAwKq7iLM5iFgBMWcBiqIQnKI6QPLAA9UUDMjZjDdEmCVuBLqYrK2KA5VwoKyq5eapiN/anEpgjADbiPlZhOThYkVy6DcDjjvuihVMzNyIA+02GqzkJp12Pu1W6cSWJqTWA1k2DC3yhEoFcPkABZQpdMsDcdviQ73HSd1CwdZPJZ5SpmRwdm5spI4kAVmhIP7blE+7dALAdpxNjyGzJSXyhXiZLuugRSCbM3fBk1vlJDMDkWhwevuha/MDZ4SngO7zP2eTjRp5ZuFjgl3JlZyYRnOrmWyZnEf+2QQBhmW6yP1310IVbT3EAEHw1GluEIsYVgghAwDIbhD2BC6uFsT2UFXkgYmDDwAYYgFMqhe77QZf5EE4YBRRAmFm5GaOVT097ilOmESxj5E1dX9McgtrcV5oa53Im6Q62wU9oPilQZRop3V0VENv4rgCiRYj5oppUJycp0o36oiGqUzYpFjmNSkoOFNZgBP8Kkpn+aA5p5pYTEEIpRmSIwZjm5kwYgEI+3A/9jVO5qZEu6a62YPsIkZw+JCP6jsfZj6xhkw9ZVkN5tSPkUAGYgfKr3vuQ6kCYOGezA9vQJZsmjdMoa/a0ajzNukXwAgshVXek6MxMr8SbWScdNSH/+WQmcABWy7Rmc+tiSDxqSYsTEIG2i+wYsz9XK1IHSLw6yp6lvbe3yIIP0BsgBjjFLZZkEgVaSzgX0LtYsQOu9urdfmDwnOugcE+0wQ9GKAzV8Q91YWcwIQC8O2Y7AFRD7til1ALvOongfh6ktgPplezhE84NbVOgRlLzwpHfXAS/qwS587Qe8Vuko97MUQ2n9DtQ+1+WVdBejRwmkAcEyG+O3Dqws7t7TVHeFnAOto9Y9CfeyJrSYJKeo7G2zRN1eVW6Pc+X5LrryZ8Mc5gJ9wuizWaS+BA2UC9EpedPiK7H1hp7aQURoIsrQMsHjMCbcR7e27syS72VdjwjqL1P//S+6juZB/y+8KtaTw4+9nzI6UlpsKgQELCNjalA6ruX0nueck23/NHtAbdy/rWPb/6TY/CZA+CQBfeCLCsJzqZnCJ+zV3K0fzRw6CZCNF/x+rYNLy/DNCCd+AJsx7WRrMkTN5ijGQBvkTw4EvALtCzqQshDGGSFuh6RH6yHnYjXKoygD+9COzn0NoWQIClGKLwaijqMp2QM9IHctOYx/YCjKr/yU9db+/Dud/gEFfCuAYAEMzgRVKUEe3jwimHnN2GPCY/EUgyLzdN1b5hwOXD184jBWn5ryIFmSRfsxlCe6cWNhkGAIIkltFxznAViTJwzGc22QghuwU6Ea1+E1f+J9M+EIHJwZFSUnlhnDFgEuiREhTrdyzlH9Xq3XlX3aGnRmtBJgFuQdQwJEqLgUQlQmARYWR1ZRii2h+S2BAkgj6RbjIRnDASoE4xWhHSLL3qjQMqzAKHNExngNb0xDSDWhHshge5TAbQ8SPK271dV1ovULrmgz1D9nQX9TV7HuVWigDYbczg497v7Eeq+H8/tT3s3+uvN8mteZQGwgVhwalmnAjtnBx4FEh773jQg8bGw+jC3kUnQvk6l95zbO/Q6OgghMP7JbnpBcQEwA+kdUbg9S5afzes8+1+eBADqOQsR4Kefy3tERD6YgWihdhao6izIEAH29IH8BKU09aP/d/wKLXB6hgvVYY/pWXA3Gg2q70QY6DVg8jfp7vC1IbleKzcb8AbK9wYGZfVrzj9USIABPA0IrXrg4FMvYIesiQFaNgO5pUoVsU6ej8y8LGO8/MgVZPCp0NSwmIORzHk+KJZa8kxcenQVYfArGEh5iJbGf/ztf0vfflXgFhJR3/XEi+msP5CcLY2k8BmZW330nwMK8ulwPtZ8SWPEHsdaGgCHX4JVr34gCAiHROLEJRCQhI4kYSQwLBfJClECNSCuUBSrGEhAokswkSqwDicZAUETQKuFCahgO8EIvMRScjOEBji2pzCElZSoKKAiJGekBxiQt/cVSAZGJWXG2en5/wkaKjpKWmp6ipqqusra6voKGys7S1tre4ubq7vLm0p1UrbWxsjq9zdk/BYWknSyFWbXSOSQMTPDR2QyA8PNjZREwRC8XNU50GI9MyfEQbHd/S0QvtR0LJQMt6ZXXkS4XpfkmRkJSJx5YrMHhChKwIRIuKCoIZoDRtpQaEAkATMK44YU4NdpYh97ItcguTjpJMZLAlKwtHIkCUUhE8BZuGnBQwuSMkcKkIQQpcMsAi9t6oU0qdKlTJs6fQo1qtSpVKtaTaqpY4CPAhispOkhnygJw9QgajmEAzhLxrwWMdZV4SeEDAwVqSd0oJ00oBCisBuAbBKXge0Q1pdonRCuBP+m6Wk4cKebIRFWgCH0d6GeowHgYmr7Va0bsY6iFEWWBMVXh5ZLy1s5gBBhvKFTw9EIEiEx12rgShMtaU0St2gYyI09mOa+OfXcFsl6Nbr06dSrW7+OPbv27dzjYCpCScAJDxEiPIhbiqsA8pIhT9pHIEKNfcFRp7Z0UA8KuWfscTrL11x6OLdYEgaQR4h7yiUGBlwErCCBBftkNkkGKJAnAkRJSLOVATBYIMIKFux1WF+bBQPgJg8NR0ICaATYnzweiBDiIXaMx4IENbSAgXGu7UGCBO2ttGJXQZrA4D2JHKBABBpi4x2MxTWAHIwOadjIiyiQMIFkQoW3ngYyDDP/03PfdYdmmmquyWabbr4Jp5q/aBVAPYskVAqAiiiG5J37NZgIlJ1QQiBNw3CoV5L54XmIhoso9p6iQ1R5pxaI3bmOencSAJiJpvn0aZ13OtHpgor4SFM8i6Cq6aPTjOoGfmLAiihXcxRJQEwKukbRiwYqqtudhRpFZ5zGHotsssouy2yzV6HhwQqtGbHXkqSNVa0AMZghwz5RdLDaEHYKygklFIqrH35mzArSoHpwWoQEhCShjhnBQhrAACZ4m9o48i5CwbZEyABDpQdcO1cbChbpngOOyoSwEBF04C0D6gp5JwUepCUPDd4eCIbDixxcRALnKcKRmVaGR0NqpXbm/4R3BrScCMgmuVGtavGuEMEYnDkLdNBCD0100Ua76eufYEhAY4gRjxJB0/wt3fS0cEZN49SnJIC1COEesgKNKzzNddVPy9L116YwLbbaDjXtdgBpd8J2jbZkVbfWlACCtdX2GXja0YIPTnjhhh+O+CdJq5t4446/Muei9XFip3jFPo555ppvznnnnn8OOlZn2tvG5KGfjnrqqq/OeuuuC/2Rpe7+9Hrttt+Oe+667847KZEPWnrvwg9PfPHGH4988sovz3zzzj8PffTST0999dZfj3322m/Pfffefw9++OKPT3755p+Pfvrqr89+++6/D3/88s9Pf/32349//vrvz/9///7/D8AACnCABCygAQ+IwAQqcIEMbKADHwjBCEpwghSsoAUviMEManCDHOygBz8IwhCKcIQkLKEJT4jCFKpwhSxsoQtfCMMYynCGNKyhDW+IwxzqcIc87KEPfwjEIApxiEQsohGPiMQkKnGJTGyiE58IxShKcYpUrKIVr4jFLGpxi1zsohe/CMYwinGMZCyjGc+IxjSqcY1sbKMb3wjHOMpxjnSsox3viMc86nGPfOyjH/8IyEAKcpCELKQhD4nIRCpykYxspCOtyLSceO0qCUgA4iYwghmUqS8dgAG+YDGABCCskpOqpClFyYlKni0VJoABuHinDXG4jgMzkCX/CLtEgQxkwJbRwaQmlTIAC3Ajl6YTQitfaawJdPKT9usTygLnFFs5JUIWuNwsapCTiMWkmOWKhC38oi5jSMJXieiA30rgzVjEzpqgoCY7BRc7aJ7uF/LUHzbD4orKBeQp99RmOntBKf8UoQAYkN0t3NmKfnqKm/T716iYqRS6xG0XxoBoLFaEKvAIVEC0q4W5wskTWG1SnLL4yAze6YmKYg46rUMDSht6gR5NdBRVYgANaPCBmeYCo1ozVEd7YScb3HRjZlhnLlS6Cp56qjH7U88LGsC0EWDAokgpSVOQutMu9DQlP23nTQVGi4/6ZJxOuAmPFEXSWMgAp4wrBVYb/8dS1mminvhTKisQkdGnSIAZeUUMQ23xVk7UwAYfaOssAnsKRCjNExL46v7CoxgRvFQXCNmVUhBbiwF04WVclcQABrBKyrbBYmPlzRo0FJy0UgWzhmMpaFU3VyF8tn8DYMa5VCEYpkZlABC5rV9l+9pciAZRT2EtKTRbiAUKop0PGMYeTiODDrwgAlJNAjID0wLpMk6ZHdgkEYAzMOlSt5wdMU8G9mGADoCVCDXogCJg4AFL6KsDHfiGK+mrXvCcNQlPNYUD8Gsg/ErXLjE5QA0Kxl/GRdcGDM6vGSIAA2/B17CLElRapWkfZcCsq7jNLoNt0N/wgmu/AZvUAug7jP/70pe44zUQk0wRXQdng74o2u9zixDjcZhAuqsRUgcqIIEODIMBRBUFFSggAor1a2nZBbJkZDQN97qYwPT9JHeLvCP0dretBEuExrhF3waYQEMGCPFcqlwu+m5MEyt4wAzAsd4hdBkcRRZCjBuwXxjEORQx3vOOO4CiB+hBP/7Kbp25S9VOWMBRFHhBRxyAYAFoslM+9kAN7FBmdd35ZALQM7ci/WV7PXkP+PwvfQOM3xdw1hMxRjAFBOyvBcQDBdC885gMZGZQmFrK6U01gdtgYASXuadzhvLasitlAQh4k0L6MIjV5uMKdMnLdW5vzSYs2z9/gwEC3rMndo1q+qr/OrwflrGdAbyHFhNAa8UOtfbOYtEJPExSrUqEQQqzoSKAd2kQ+Vm9m4GieS9J37AqQ5FgVaL53OkExAWFZ4Qll5iMSsMFUoRuvysAfoVqFGK1jyQwrKQ9rES1qwDTxisehUUI7OCjKpFoVqVTHDuBNASxHE0EbiWjemR0lICBc4ezVU68iF8zIG5N9vDz1xhzVG6hxMWn8WZJvHwRRXHoIjZwrdh1wACuWirljkFORazX6op4gVgKwPVRNfwT+DBCQcog71EV+ej12dspMDmq+pgg7af6ytEnLpaw02vso04E1ovgzEUs4eGKwEBeRPHvRAQj7pjKxLcqLwrGJ8Lx/ysxucXFQnbDhxYMf8+7ERbxM+HswVEDkgstR/UMlt+pRA4fVdrzinZFTE49GvdP6P8weufphq5VmpkFmLHPHxngABb4BjZIjggMQLNPk3vRCZjvfEsgAgYvuMleOCQYZc+ouQY1wU3tgIKb3nTy+6CA98ER8zWovxkfUD8+uZoaCzy5KDJgsGRMVyQXIgLNdQelAE6lFSXrsG8b9lekIAEP8AI2cAEGkHrqYQAf0HwxIwQWcH6poX40EAzjYgGCpoGjsCI/k1bFh4HIV4Cl8TNxVSGK0AE0AAV95QkvcoEZ2BWrESzKRgMU4yMiSIKTgVdb1SdWEH4oQCMnUxROJf8CT0Z7vtJobmYldFODRlgOOIiB33BxT/YCT5gIh6GFOvh07aQw45CC84KBmPYM2wQJHBYKAPKFI/JTQpgIuiVxe6B/icAh1reFJbgVifCFUAgq7veEerAEE/AANECCJ1B/QxV87HVTkgED6pdTskUIObgXp6EpU/hmiUYTN0WCF2h/+QAmKLCHyReI/AWGyeGAi0gDGvIC9ncFECiBFEgnPTiDEeYjSUgjNuACMyAQHEiD1oVT60cKEzB/4vGB92dnQvV/KoMCQ8gAGYgNTkiI2UMoExUez8AuwYEGsoMQBiANlfUV9YACCHOCp4EG90Z5HGIBcSYaZeJ0RDAAItD/VqxFCOOWL7KxNbbFWX8Hjq4IHkhgOvU4KfhogHpAAVOTVo8QBs40ByTnCjAYJZARE8PCWoyRDw6wGXRlBlZVJeX4kXRACAP5gjy3D/c2Cc4ICuEYexqyDuFhUBOATxzJBCXpM3QST5FycfeIHx4pHmDlACoRIwLAjwFQTZA3OjtnKe0Id6O1EnhBlEZ5kXBnlaMgkoRAkqFSJUBhkBUBh7UXBeslA2XCFWbHBGmHlf7BFWLYDG0If0zQDETJkERiB/DiECBoj5vVCghRTJQgO185UIIIGEtZCsjlWz71U29Jl0MpLhYRf5ZnWZaXeqbCkjYJBxPwZj+pkG/RLqiA/xuLSXr/5IJZkm8fcQIYUQ8nQJSSqY1tQC4E11VHhyrLNQTUt3MwAnI+UYa4yQ4bBR7/ZHdkiS9BwYPvEolcUAmkIx7nKJwxeJDvwgoH6HE/Yg3eopcMKAsWaVWBaFAhhy+CoSC9GQqEEnFSGZy1CXQuOA4wCFmqAJwBoJvCEJoOcYZEIE1HyFUuoVgKAZg3SJCuUSv3gQr8GRP+CRE+8p07WXFRmG9Rskk+A5KliR4x6BwLGCk+4oY304BggBtVeAX5OQSSoQYxkRf1MJACMKGh4pgxIg3NMVN4RWELOZYaapurgQakmSc1aFiUkKL28KIssXahYJEh2ZSpcp8L8v+hGwaKjNUFNfpb/bEJkaMWVTqgq1ik0dNxQtcuJ1gGEMmk4jJzgQGb8cIM5Gh5K2Oa5gED6fBmPxUeFxIBZ4NZduIO6UABBtqjzUl6sokfAWqh05ka0bKcw+mnIUdWo+JdFNkK3tkuqtkRmNWl3HlcXLmeaPmlWRCmowOf6ukL7YIQFwekakMoIEU7QkkRxuAFgjqn5IEwmfimGZBLcboOYupfPcGqLCCouCqpQjAvb7oN1cAPmnCrNnepETqPL8Gcm9ChY+qAUJAy3dQVqAoU+sEfgpqA+omsmVgNcMoPxuBdiUJa1Wmau7kOiJCSIppYUWov2GqfM8EVBgCn1rD/pEaapJaZi0gwLJcCX3XaCcZlgu6aMBwGHUblB5uQiXDqDvfKpbI5UbFlI99BT2+oYXv1KY7aGVxHcUZRFE6XD4InUPW2JWaAWZqnCDwKpYlqsW8YmOeKcoEyWYhRrorqGjDAYN+gIBq7CpAanhZJqWGJgKRAUuoaDKpZdZzqnlQ6DuayakYWoTTRngtCmsV5nSvSGFwBDPVwGJrCdSV7JbAiKbiaJxCRtQDHtS5YFNChJw+ltlRaoYBCO2Dqsc2aiEKrpE16Bb1Vo89qs1xFqv8ksW/btpgnsGE7m3cHszKTtJ7qsNHKsjcTuHOLc3uCCkdKmfuaXJxAsnRyuHFI/7CSYyabgCSbkLBBki2Ydz3DJ6ALo7TeoSBHByXLiqlFUFtL+jtSiyd28iFLuFEmkHS74RP4wqoigBM5ASJ1NrCRC63NK5bcZAKqErULAag+QRgQyS4Ux7Py2ZQwqHP2cZx4+7cOKJn1cHG5GxhpWgbfKzNNGzzcG545OqV/ymEkhRwX4SgVcKVFsS93Ig1F8gHGe7zG+57IegrI4RX5u79LSyz4JgABfLzJ26kpeZntBBEXYb5Ma7eRUnfie57VWy4enFZ+a7UwyLZ2wHwD7AGIKRpUhbGJawraqsGHoL79UZlr46P2Ir4BehYQjBMisMIzO8Otq7kNCLyo13Cf2/9OoTs71fcZTywFPRzBOCHEyANvAmol6voMuCrDMYECEMa86GhYXPy+3ynDhxABT9axTmoGKgoLivWjpum38zsQaQwfh2qd4mlajMkh2xuqqee9TUmp6TK0vlMFuIqrANGCg9u+LtuzoooEFHfGiGFh9nClwkQBO7EBY/B4DpHGd3gbY3DDo1vF2RAFmLwTLzAGzmHCmDArFTzEjWwKcoDIm/opJOzBS7yDs1PJHUXC7yvLSzsroxxytDcQfPuXi4uriMCSwYxbTOyhjowbsPzH74S+0dxOn1ymw3tX0PyuBgvFi0cGuEHM2YMGZRgjm4ScvFLIAUAICGbM7nyv3/n/kAZsqZQDqmTKot8Mw/9oz/bZwWNptd82IJOJb3mFVLgqGhTix5fbvaPDvqKyz6SXlVESz57SsI9nxlaJVQDxMwN9CvQsUCCNGBrtivXQmU1gr+hMs3JBtl5KzaGA0m7QBAbQBrrVykdhnvoayxzHkG9m0hPtUygBx9cJucJL0UrHEjMx0CXsuDr9uBumsib5z6hA0hIqliYd06OAG9NakLVZxlE9y/mqMtA0x58glIv1mONqCl39TmcMHacLM1jKrmagDT7H1snzd7RnAc9gDHkhGhrGFc5RJbRXOZZlm0E3JZhYrBtXJMEhAeEiGGoNuMd8nxEQdKDQk4PqdgIN/8xDkACSLZuZbdnaAtrIpwZkHK7R+ci70sotSMenTZDht6WeEFCT89e1MRohVyb18NGLa8hKXdjPm0qobZ+7ESwpEH5CHdrxMlpyARrg4TeYy3HOpdyOApcpCRnRfQXTktOlfNugqdQBENhwwMxlQJilsNA91hohehg1h9xyDMyBfBTcDTaHUBZFEAHhwsipcNYbRiCB3SnUPdawTdxTik673N3V/JLiYdbAHRgR4NyMIrmtwBUVesa/Ktd+0BD2TRN+s4pjqTxOxTMyAAWEEYAtIpG7CSTT9pzxshfoPKRrCiQOJRTFEQMD4CSGhxodQB46bgcH+Q1fmDV/8wIroP/jwlTXDS4jYgPQnQ3Z0rICMpAaUj5yeyACEQDkrI3FB1IemLa+obmjhvDXNyVUhCVUBi030tIzSRAt0qIQrdzMMYiUcPM3TLLjzJt5NXMaRSIOLqIodnIACdAtgOPI3NsvGGPPVx1yLNokGlKuIWop89LHnfbjLQbZdqAxOfLJeUXgoRCiBZiJHLLZDHwWm840O9GQDMzqbsXn8QLpLfIialAlW6LNIn4QQ+YBAxAhPwUXeP4k6VmbgvvUBqfp8SUBdpxRL/dUOg4B4RklGuPkVp3LgfEksi4pzozo0m43HHzoRYLqyk7aAgrLlcEzhPDmK5Ctnw2adLrlcBgeRC7/AuMeEnQ27awhLVS+B1YOnuJsuphw6sj+hC7QVy+it8PDLrOHLhMHGEO3CPH8cg23zl6KcMdteo1+J9BUeFYisktesCnbeXL8T5E3HF+AsgZOvRVfcYqhG41w8ifnKWJrBaUOu4FTb3OQ8ItQ25+QhC+jT3cIGBhrex8L4UwJK8rL6GEAAb2H1Dtq8nOJ8ZKWBNInlkw3NTQf0qmhEH2ymk65thvneYEiFzTf3yY4DIv586TyN3dy8K9y8UoPK2DV1CN/chWrpFZ/CPOiCNDueTaoGSKe9m5QKhHt3xqnM94+v3m4KvTOuTC/IDPAd5brvOKdcpsHTTdv1Yb/FSRf/609yeFbkLBtGLxTy+JtPzyJt2SUMW8k45QeI/khMxxf851r6vrZTg0RYQHADMaLQGuppA2vb2cC52ipAGHegg1djLdT5yeGAGmLgAEwELeRsQgncKwiulyBD3DJOPoMohYKcs0RqSr/QE5ejQr++GAQ4S2sf1pldx6xy+5jTQG1HwWQMskZUXgUcBri6lPbKTJAIBAKUYjAESlpDYczD/K4EJxIUOsVGygJD8dJRoBSIKVUaLmaXDINlOeRM01H5Vk7NIQRpLKRC1PgRcPKhOnEAmzj7m5ibeikAipBioliLuBLQBEpczMgzoysTg1QwO2qELCj4SpiRI+IZdGu0//OYQTwYNAKbdb3yBU2TBbTRROqlhTw9PcK9JITrHQo0ivRLgKmtCgrwURaqLoZKngIhfhz2lyhd8vMfU6plDnpL3wcP19/n7+/P0FEwBXorEQIKIIVLwEGSEg4uAtLnGNWJuihkDCLFIYOA4LoI/BOAoMBMfYbKSKCP5X5RB6Epo+jiBUradbMF3OmPwl/Qn0kmWXAyJI2s8T02A+nv5YBX0LBOZRo1CNPpV6RAKYnlpNQpwqEqPNgTqthq2KhCvTk0bLjtq4te9atzaUI49a1AxcZLDF2+fb120+jkVlXhQiGItFTxoWG/zZ2/Bhy5HyIJVe2fBmzMyGJM3f2/Bn/dGjRVbcIUTEa9WiNTZEAtIBLAAGzK1Z8xbI6dW7du6VGsPBAiIHTvIkXv+wbeGHjy5k3d+4cghACtp9Xr1lgMSM2jPNhN8DdenjxlbEPkT0efXpf5Terd/8efnw7EAwIl3//9kLWXowJgAEen17wG5DAXygx4IUxClywuAMTZBDCCCWckMIKLbwQwww13JDDDj38EMQQRRyRxBJNPBHFFFVckcUWXXwRxhhlnJHGGm28EcccddyRxx59/BHIIIUcksgijTwSySSVXJLJJp18EsoopZySyiqtvBLLLLXccssSZvhyBgw4c2uCDmAQ57IJLjhznwlGoKAL9dyk4EEu/+28E8884avBAg+ok6q0IcZcq6KJMCt00CP49BMLREFb9M9mCr1Iz0otvRTT0XYSgAGuoprAAhFSSbSqQs87tD2z/mBALWSMITWyTVFoNZ9MzskU11x13dUtCULglFYyX+1LAhpoiKGzYo8tChdWGx3WMwlwmbWfQhkgiNdstd2W2ysS+HUvvhz1cIBpFaQI2gEGiLSxcsM4Vx9bse2W3nrttdOBDvQNTl9965zqAT306ADAccbF4hYmDoD3iFQEcMKEDl4oSYYObLBBX2StqHiVFmChQONmIp44i4g7SEOGizG24Q0k8t13oX4lVnCCV2uAYQYhXph3MBE8HoKCD/+CneXlDvi1eGanAhZADxSgsRYdjklGQgZthDih5SM4bqCFnMMIGYkBHkAa7HvNPhttEAOd5lpO7AEEzVqvwcJhJjoNO7ppGIKiAK9T5VvvGcpexLuCo9s7APb+PmLteY6qWZ3p8Gkc6P2yKEGYUpz14m0m0IS64SFaliBvQP5VHJDh6qEm7dZdf53CCR4w9mpjbaCB0QAGyNuAD14bomBfkrHCAXN+Mw+JQF8QATb9oEiZhjXGpGQh36U51ZfS4p7qj1sDqOFi6SkydukTPjAW910yIcICoxdS/ZctMOiABhGWjg2fCci/+nxjc989OL5rnmFs5RGHoYk9y3MEH+j/EEAL9Ad7AZAW62BXQQteED4DABfDvKCH7xwBgIaqlR4GVR7JBcABHjTCBAUQpwAcqCkHE8UorOWpRpGwUYuzhgih4K5wUQQWL5ghAyXlgZJkIivN8OGfCvVB3eXNE4USwwGhULwphCyFpkgIJUKRibsloXnbw+AYyVhG3UzQe1agDCeIYMNFyHAqWLkEJSLhRYw0MYY4VEgLoXC44Fmle7JYQBuqoL0rwBGMw7ihFl2mw30EBibNGtoavSCEzUkxOQKIW3mIeITyVIMSLgyAH53yq3uYEZWpVGVm0MizTzoFF4iTGw8xoYe2Ja89VkzMBGWZF1rS8Qyj+EV0qMDC/0hAEoi0nMq0eCZFdGRClL8YgAg6ACav9bIZrcTCKxOJuPVRsI9NsKbXQHlKOiRRJAloALtW2U53vpMo2rwCMpfpvHjp0ZecKY0i9glLe1JkbsF0Ih0G6os4CKdQgdAgp6ACuUTJM5nYQ+Qb/5C5q1nuLs3iWRkYw8s0JNQcBGGhOjRJUMZ4B6PwVOlKWcoPiAYzK776Z/7wyYmaaqE9/exmHn85U9w0I4spCBQK1IS/Q940kWlERkAxwdRZhDAQFgjVHwqaTWbmRwCXIJ09QToEUbLwACKQqgfE2qctzhSlLVXrWtk6jpfOEE28/CMjkOpMKPRTp/XEZgd72suf/v+CMASIzgtgAAMLmNNVypRgIBeZmInSAgyWEGhKzXLVeSJWrnylghUFoLoEHA6jf03cTNtaWtOyNQG4kOxl+RgNRsYLDD/cIaWGWEtg2ZS0O5yeT3N7BwAaQA8IiI7X4McJaHkrOqsFqAgfmwUZTjCJv/isMIPZ2tkmRF4vFAJtR1vSO4hWtLsD0+BOW17zXrBwWCjNF9MRGw4CFhfoNKU4JNCf0xhzhnu17W79Sl2DDqFTEnntcklVHgDJsLmLxF4q9OsLelZxuxiRyAntysITrncoExALeGc6UjGeF8QhNhsl3AAS7hGBBN4Apz7K4wazMs6rCvCDJYkh4BdEwBH/spQAbVYgg6bx+Kz9bbAdAiWbLMYGIjumjQyIQBu6VLfEMnGtY5HKCGnsTAKZHPIiuEhWKdfTFCmmIl+9tz4GshBrLJAAjg2wOQ7H9G0fFvGc6cyrCWgOI5wFBAHeKymLVuOzFl1IyKarN8OgDhBtS68oqjqL9UViU9btrjooQJCu3na/+QyQoIMzV1pYlL16ZgKfcUut0L2Pr2w7yqJN6pQ41xnWseaVK5igVAd0LhDs/IWbhoABcSTAEduFxgAcNoMPNEvCJH3XCzGQFQE1I7WjoAT8BDwN2QYgG7V+HFOHJ91gBwI40W2GK/xm6/549Su2gpcJlcEEGLTsGTC9/8S3Vixre987W22pS1KAkoAEBCDamztRTNwYFX0jJSwFx/fCGd5wK/wbwu51+MQpXvG0+SpoK4jAmC3ecY9/HFeRfph5dA1yk58c5U4S27nrk7WUvxzmMVcSANacEpnfHOc51/nOed5zn/8c6EEX+tCJXnSjHx3pSVf60pnedKc/HepRl/rUqV51q18dRByYAQMoqxt/z8LfSR7ul8TdGMyBSdJI0DrXmeMQqQ6kG2V9slakKgLLpQXaEO+hQaTadX6YAAYgG42/9b4PvPeh7gofgARY8Ce3e2AFfQZG3SNfFLH+pIdqJvzm9T4AznO+5GD/+lj6JAIOmmDrKW3J2//ZJYHSm170hU9CQPr0EjfNIJpY+Ly/BzCWy79k94RvvHNbQIEMZIDt+vBNqBTes7dL/heH923YXUr7uYct+NS3gtstUHmfiGBoSFi+TNjp+QSEnh/Z/4r5g/9wvkOeOp5n/O59D3noR8MJrSh981uU1llA6g5czwL8Liq4ybmahhhELjsqowQMgAlKaAGJpe/8gdfYwOUC4BtUIcNwDQWgYquGwADI6woMMMssahXoLnf2wQA/A3MQS/xg45a2r3QG7ZCaB8Xuwh6USrvYIPcwYQaZZnBMwKJIrRiUrRoQzW6wpQZgkGfuqt7qZiGiidUaxQaD4wLLBBAM4AKdELH/hLAUTkbT7oByLgoJvHDPLgEJAWxeRE0APO2QOJAAkcF9mGALfUGmQFDOFisW8gEKpQMNlS2NKhAEL/ADh4C8JuAH7UNV9lAqRgoQokjZvKuosjBrLo0N0KQPezCZHAsOcUS0imJV3MiQGsOOvosLwuYgYikO3yJURiU/tow0XDB/zg0QOqnaKuGOOI279FAI/CYPm2rAxlCRXA0DBE4fgAk0viluaqBzdJAX4caX5sFTqKcDoeDbhqCTirAU4oZ67OZxIvEIAVEtbqbWmnCHECsNs+YTk2kaHAscatG5wAGB1KEnuk29SOrQ6HEO0pDGrCCEGMBYPoD/cEsaZ2ka/zQxAHFNFkWhaQYSCdKwJ/gxDLZNHb5KIb3LuKbhw6gx/FTCER+QjYww1UohijgNnNIwG4/KUCyRoW5kHa0CXDoSpzDSL0KJEYxhFxltFcnEkbQLFgFlIZuhyzTgA7vIPBpgAHwsVUIIZAagBqQhMcojBCOAdyzHJnFJCzUuk+IGjRyStX4xMmYQTSgnBh/yamKAKsnwic7SKaESYZKwkXQGBOThnzbFAT0gAiLgATJgLM1B43zGe1wPfdAnOUKhBgbTWCzAHjyBcpwRcMCJs15gLtegJ16SjVCg+/KyeVRnKIuSK8TyDBBEJjbOPGimyrgQMwfTAjBikJYnLzPphP8iADFpQDFPcfskaR+YMgacEhZgRTEWwk+KMg65CC0psyn0rCwNJBBG0wQcEMkUpX8sIDGlwYVILDjzJiK3Cy+xMx5gQwtfky/fMqSqgpf6B31CRgJMADGPh4YyADM1jtZMYyqkUzXXYLWOTDLpcsuSIYROYDefsidhBJnUBSh+hQGgbxT9IhOUC6s00TIfw6FeUTAItC4S9CZgg75iSTBKI41K4zwSyjCyiLYIw7skABZS0rUY1AF0IZxoUnfMpR9WMDMapy9NQQQYyymkoRpMVAgYKBMGyopy0hHTiBISI2+IqDQY9DZtsxk8NCQ0FJdsFEfv0XPMUoSOVCdBKPT/QmhH56ubwINGF8GKLmluEqD3rsBCfWFMOzLaGi2w+KGJQtSWHPIOMzQC7VBHUy0lh9QcxyGLjPHhoFSCvPTEnIhEhyOhkFTYBsOU+rERYXQcSkOI7IDeXNQKnNSTFoeTvOVMxwWPXMYivLJEymAFHsBrYACL+uVo/GUMxMZi+oMCMCZjqAYGlqcDYOEEW6Ff/sUOKMks5CgLsKPsSpBpwoA1arMXXyAefMZvgib8IvSyTqBUP2ZwJKAbueEKamAOOcUDiIHY9AVWZaZsvlVfiivSGAMZMXWHnMVUrOBwhsOKUGAXqOeENEOxHrMaimZVkyYJTLVYsdVK6asFzARs/xpBGKZmKgbWA5ZwCCTTpf6AAJIDTRyAAZBFpnTQik5IwCSnXVu0uCQCEYaxuxgjY3chb/IwXu/v4Qj1cojgXCjWYsGlCTclYs3JwCLuhMrAZ8whpXSKhU7KBWlWYhchs2zrBUIWOC81KDNKOVp22RpGX6yGAmTmJR6oCT7go/QggvJGdfTSamIGbH62urYHWR9GWY8gXndhY20DZGOLILwWBDtABEupt9DWZU+sDfEVxsJAbUnuCLj2vwQgZJUKbodAbs0i2BBWgixLujB0EfLKW1j2ZuOyXrFQOmpAjzoWCQD3ecCBHk6kG1Nnb9WhbRSwFIgIIsEUwGRSgsBgy/98VSH0SxCrFBkukjH18VmUKXSboGCrUAhc7haBB2/VgSvDaGUfRnV+a0OlA2f3ljOQ8SrvDMC4gjBg8dFGdxooQC0mkQl8TW8X15IwAkAB4QRUR3qnoV7xwcBkdHV0MHqFgVIgdwc/BwwIwK7AN6uWSpG8CASCIgKgQiIgLS9LrobuAEsri1OacH1PyaMSy3t2t9O4rEePoFINQ3n3CAGQEbJaEhjbESK0Z834bwJyRnvnAx2V7RJmV1Cc1wq4yXS9qjVMKXlJiRN8dyKi126OqH4ros3U4oWZ1LnC1w42lYJlGG8W8H2nFxg7xX89xVTuF+AuMu0wtxROwDAmqFP/Blh45lSC94AWhBh8e+l+j4wkWXhsk+AHdQb9NIR6esdqjUp2aKd6bCd36BM26Ad95qCNDwBpdTBQABUVArRQg2cdQ8gAaHOAkqBRj9YCtOF2BaADPsB+9KJRnKqBqgdpT8WQBSiC44gIAgI4ZMkCbgc2CGAwocHD7LUaMRCMI+0NJpGB5Lc84gSYKrWTCUGQz5EIZecDkoMCBvN/eAeRhbeBIC0Hc3G7pAo2aAukMPNW5XO6ZqA+gsM5/0mX5pdZEniPIsGWs0N+rxLgQOt+oYsxkIgVCuUFUG8I/gNwToB5QJBF7QCcK9m/WoNxqwiHkFGmsmJSziqAbjTCisJh/wxDIlY5FdgLhdpDg7XCHk6lmXfWnCjncxmaeeORug4zeoQABmigfzBipJbndzZBlm1zguiErLxTdQo6IQ7ao5sHpHFhE2q5USMQgKhAetNoU4JGqtxHEbWilDc4K1T61L5Iprdjv9TZkoZNnBEwkWrVAxqZmG0rDKRKahPiIwOh4ObZKgZanh/GhfY5hSOLFSLNDe5nIr6ZSRMIor34RMrDiitpwHRng8QwKA9EMNanuP64T4u2ZHJ5HQvlrdfSUEojBJ/HhUClVRbU9qqMiz5KrPnKiUKoJI2KgsEPTZf2Gben0AwABvqjoMa3sBpWfZrmXCo1pu8hFQ7gV/aKr/8XiYN7aK5VMrKhCK4m0dT+VmcUJIR8tDetlA9+2KjBl1IW2p908JVSGzaqQIpK25QeuQsgJwYXujTemiXNCYKJIPxI9I9g15+SE3xPgBU0eAUJWzDs2pNdVAr8hq0puHRw5mo6Kr7CWxa/IEzM4Y76wxMKmhiEkQjxr9b2g7v5KlEIG2xkIE6W257/xgLKpkhbwxE6wLMZY7oLnJZRmwtWew5K47lzRqkWXI10iL7tBsB1CNgM12sCG5tTG8O1USO58LmZGgk8/DD+Jm8IwFvX4MxsWADmVrvzQ71R9LzRFbGm2wgwDG17Gxh/KNomwooK+8hfm0TmeQplpU/TdIb/EgN2h0om1RWBG22y7NWxsBvgWFYomzYM90iUaNhXpfeStDZ7MHtT9ECMvgkb7TU4Bux6tWaFfVIFbMVd9orLrQIGqVejImJxpMifD6ChLS2gcYtjHxttc2YTRvl2bocGLP12piaAizmb3dc0/Dy+lDtPR3cTCONuoBsdKMHUIm1vHhqgp8CfhUCSM0kTPbT1YKO4inteJIKBNFjVrdoeQqHBo5QzUCeCOpgJsnHTsZkiFoIJ4AdyBsou02ALYMB39hKGozGqBT0oJ6pSgbyDxSFQYKXb6HyCY/jcsarPjQEFFip/W7clofgAeeh8t31JO+uQ3jHdd3Ddw2AAqEq5/88NBQIi2K0aDE7dlvo004BxFyFHcnZiapUZaDzF1rdpz+iab6tr1YO9Cha6PDYhz3FKjyghG6cNdE84pmQW4zcSsRCJ8SRA9u4917nw2Fs4t1awgaELo6apmtCunu2R080yFHAe4FMNBfCSXaz84WB+nVTyYUIbiJdADwrrY/R4CHwn2E67DQ2sgf2pp6kUoXXd4mmShdIgdJPTAWB1nPYQihNskcKFuJMKWxb4OzZF2BvWArI+UyWR3bdXGhhAqt6m1a9nFyKt14NDdVj6Crj0DtaUaXUQcsLFAM+XAgL/Ecy+5d38eS5mDm87oWags7PdtuB+vlvgYnJGzjOyLP8XTQJK4gMZVAkwxhhSXzwBWcARGLxNUdbzHiTF7wFwZgYywGuiSBpOAOqtS+e7escL5w4Fg5tsZSj0Uvi/BMnVwAaC7cMcX38dsJpEnxIQgOtVURtPKNLCURJji1a81ppShbOA/0tc95YkAF6oOO1A6GSzIGVs4Gtvu4eAACIQpAJG4yQzZFgsl+GQlAgJDIhjoDTcHBfQj6UFFXADwuosPcvMhhUsPC6f0+v2Oz6vx3qt/OrVkcQTA0udlsCbXAEg1gSGAIHG3hGiJF3CyJCKndcJSZwXRaCRhKYB6KAAiiHdxNMY1GfcI5lcH2kArtGuIBXqkVgsCmgcoiKl0dT/EEGrTJsAZ4DD0ElMqTDKZIBqLFSZl4DN0AH3aXEl8/bcMZ1q4W2j4DmvN7IRovcQBmtAUqQjJWXyJDhDKtw9LKZWtTrCSNwWc1FKwdLHhZotJJC0YTGhD8qVWgakGfGYMRwBhUr8wPl3okGdh+XcjcAA70hBebrcdPw4JFA4kv4gMQAxxwEkATMzMWtVA8q1nDMO8sT0YIgBmEMjKcDyMKFCFzrhJLgq4OUicq4EylHVz11FbwPDWVRGJZIzJdEoMqTTZ5ythcAwDvyHomsXnwPjJAhHQSscmWTvNjMiA2o9cZDKCQY1QSxLIxwiEj4yYcjhPwKSjimT7+NNOaMz/7aEhNaOA7FK5dR6HMekPiuCcyEa2K3uQp+JkjFv7vx5sj7oAjAC5ktAbDnt4s0yjbqhngFCMIDFgjF1Helxqk/v7E/JWznisb5oIuLJiVwaaf+xXq+7J+39Mp0JukExkjFVMVcLA5AFMBs4QxRhGmjoJACcAC+YpAhdAvg2HBbzLReTgnFIQEV2iXVXCj07xbJiFqiJ0IQHM3pggQf7LVZLGTU08SOQNIJw2hAv2GBDB7pR0AFYC8WX2RIwLZQfTg9gYAAzly33EAVHIglFBy9A5oBeHoqgCQow9eZgcZnNxGIV02W2GC0r6QeHk+B9NkQHXirJ5BEOaFKNB5oUZf/EQ7kQiYJRR333nocOQriVAH32qRcMgM4hoiL/0HlGeQ6VSBaodY5VG3+mwQeeHGUlZYCGVWG0Co0mlbEmFpNC+mRkYzQokR8PoYDkl0PYIOY0UMBggQgemEUnHJyaGtp+vh2ha4e/grjnbfhEJKyXHUBxLEyzogCGCLZ6i52NM/54jSsbseoitI5iN2849QYQwaBmGtpAckK1WeWBG2wokVLuNnujBXJC9zDEEeuhXmL+ScQrHNuFUiKPzJ037xHS2sEIjJndM+UVC/06xz8UTBeOwx1vbDHFCCl0yp0SRNBCUpdgoXEySEWyTowZnSHUlHIOIEECk9js4ibVOij/NMa9kgdXXxuPCKd1+ZqBGmJF62saJDuWzU1cwSFApHLQqsxqh9K07GAASyfQ1VfUKTcRFgmwkACkh/6z8roRbs0NFSV3I9Rv6tRhigHZ1dJ2tH8H3ujTSCjhM2+PYsS52JQqRuKItTwZFOmhGlEqHCaB3hJbJv6Lh92T5O3im1uVITToA6vcaDxQyA2Jbw/5hAEo4eS+59irjxqA60RPA0nvEUG911a/7kl46MZDwVqcuDtydrK7JcMg8Hxhf4fprC5eRwLxZw/CieGnk2rdTDvN0zIlS/w/AAM4B4r9Zzo5cVkdMJI71eRuYIFiwwwqIwfW2atqcJgNWJQXkEgh/4xx4+OPKvxnmLBV7GX206CqOHgUoqSvfAuMVgvUkBCqkXBgFETYnQShhO7kYyCWINoN5yCBFayAhKTykMPERyHsaMVm/zCfPx7lCrHsiC3J8YkVJjACGHCxi6/KwAvzBIdZ+dBxQoTFFUwwAy6uEQbQ8BADklgS6yWHONZzINpOhYg0YeIuqoOT5DpAgS66ERoGACMddKXEwtXBdEah4c8iMoEOpIGQX3yhV6rSGwsNCGvUWs+olnE4WpAPT4PyoB0ksMNiBCiSGYHk/crAlFGa5xv3u4Qa3QgDCszAQDCI405ghMe0jFKUYIElI4tGmx8Cy462UCMvu2igGQCzlf+xRIIU9+C6BK2CbvFaRQsRcSg86Op2c3ocGhH1PAGys50QI+BOLEadK+WQbAAJ3spENKH7MZE3G2lhr4iAB0S8ECPWehAzEDMbPgpiBftJybWq4TBVZGVmJrQOIg46G58lgG6GaWEtICrEfiXkHwg6whnK8BCRls9/yjiDSFUpoVLcZZ/zu0MNaEADOarzk+vSqBmflg9pJAcsEWiUpzYoywgkgKlOjYBTvSkqWhphAGgyokxHlBybkkUYLG2JWBhgxDEmhSRes4taICUAUmgBAwd1HhTlYFCp9u2qd8icXMuaGBXq0wgRcGhAUyMSoaTULwqSgAiMOLlO6WWfcw3/QAJWIL3ZAAOxitXLDIfwVlpQcQ4LddAQMQHTvZKkG7eCBLXO8IKIdlMhgM3qhLb6TfToLTSmLUViUTVKoW02iqvJRWG50Vg4CfScL50pb8Iatj6UdlBl6IZRGxUBOe0Jf2fA5HTjcAbawhWTea2CNLZZCr2MLSf3LBr3uAFYd7K3vXe1Xz3kyaUaiWC99syQCPILPLoQQwJn2Gw+qvYQrqKqt/4sko3UF0cJAAcZ1WWAB5ZmAQyclhwAo4tL59uEJsI3nsXoxoIbnI4OeCACA+CX9TaI3/zS7YoJSc4JPMCCCJwBe/kgwAokMGGwaQ4FIojAfYSXSQ+V+AwwGjAe/8wZvBjnd70gJgGDoYCMzIVjZfl4wQpObAIYGKBTpdTdw/AagBrYQKd6eQENbAAvF8V4ZxJVFQpKHOSosUwsjOKDAT6wggiYZWj3fcGMjYyO/0ZYBkmh0558OuSxkZkGZjnBB9K8ZlAergAU0DOfocA5/kJZGNZhBAqYtQILwAAKsb1LjAMt5AEq6BGw8sCehdFP0R1AAzLQy0wecen6nsmWQ4FVfd2sWbqddYr409wSIqxjFxQGAySOQA3KZNYlxEADNajIcweVahqvWq1xljAGRPoQAxQZKzz96F4ZUO1r+9rVL+A1z4YNh2IrBNUyjoC46Ky3s5T7LOiY3AZU3f9hR9h5v0vIcgSwzU8sa5nLHKoUrPn8KuqCJoegpkF9LVAmrpq0nguA9J777LMnvgAEKE7xIzrw417rOzkUkLHOxDBO99K85j3NRS/uC4WZT3UMyPBeLMAS4Hnhig5IzgPQxzmrWBCAhA4wZGv2+pEcsk3KN+8PKZY+hqbzMxaKBvooXRwHoelDpCLyRmiqfqAXp41jRKFrQP84uZ0Dj+xMD5s5u+GzcIBPk1+W2XPEDHZf59EeHzT8N3k++PTOxhs2fWIsNrtR6akYler8yNjwOniGXl4fOeq8N7huBK1H3bBbU3ssSDL3WKxs9WNgqOvHwLjqWt6eY7N76UWHlcP/Qb4Kucd97kf/kdWqL+iN/GcKMY/Nj5x0iesbo4FisZjj+PyCH/Gub++MbOVLHfGDf97kiTmEN3LF+n4Wv68kNbr9ID753kivzePPztHAyJpYiIAboYCxC5H/51WgwRh0mXboH76kFcsogYHRgRoRYKCkTa3RQo0RCk7IWpFchUv5Q7+MCP2ZEIwkXCw84AN5AwrUE/9VX9/cBVWdHBTMwAINgAmADz+0RwR6yKTNQwAmBAq9F1XdHyUx4BF44BiAoGi4nb7JQPQJwAy8QDEAHqQ0Tx6IWYdI383EQg1ekWbVIGetAgkZWiy8wFhBz4t8niNkYIbQjXn90R6BDJTI/4Xp3UMJXMkYANq8nQUNvJEAHoEMlJrXCaFfkSELdkKrtUCZ6N90/MML9As/QMYr6MMBhI0ExJAIOgzVqOESNY8WeR0y+FfkYaEDxAUFaBx/qGA1YNIlGp8gRCAFYCGqcFdujMEnxs4jkh9qOMwbZo0c4F8s/CGezKAqYshZyJ2dOV30nYAFdBYWGGEuKuEcRSJjBBEe6uEYzIAHSM8ZKqA3lNxvsMYMfIASvIkVYocqPqI3wIAYyp85nmMASQdi6deCICDcLVLEABmLPU5+1Vdb1OM7BpA8igBdNRU+0tw61hflKcM+0tUQNdlA/mA9gpQ7mmNBPsw+RgA6Psc+Av9UKawAQj7Hif0jHWykQLoDR04kJXgkP6bSQrbKPkoWSGakcwSkCFCiXzVZW6TkF3JDPb6kzQWkfTXUjKjkHMjjTppIPfqkEA3lT54kRcrkSuYXTOaBTibkviClfAAlVOIBUN5BRN4iRs7jc/gjSzYHScJdQFrkRX7lPTZZPoqkWq6l0fnbwyhSW6wSW84lXdZlHMClXealXu4lX/alX/4lYAamYA4mYRamYQoQPDXHEB2VHfxVWh4mZALmEBFlZFamZV4mZmamZm4mZ3amZ34mAFVHPYEmaZamaZ4maqamaq4ma7ama77mOSYmbM4mbdambd4mbuambu4mb/amb/7/JnAGp3AOJ3EWp3EeJ3Imp3IuJ3M2p3M+J3RGp3ROJ3VWp3VeJ3Zmp3ZuJ3d2p3d+J3iGp3iOJ3mWp3meJ3qmp3quJ3u2p3u+J3zGp3zOJ33Wp33eJ37mp37uJ3/2p3/+J4Cm5gCQWhdhX4AeKIImqIIuaHWeHZY4IYNGqIROKIVWaGtihAGUmQ2Uo4V2qId+KIiGqGACjYiWqImeKIqm6Pzpm4q2qIu+KIyi6CN2QL5VCo12gIHGqI7uKI/26HyiXvD5qJAOKZEWKXhKwAOYWZHoFA1wqJE+KZRGqZQqp/1NqZVeKZZm6W3KppZ2qZd+KZhaJpeGKZmWqZmeqUiO/ymarimbtqmbOoeavqmczimdummc1ime5qmeXumd7qmf/imgxmifBiqhFqqhWuigHqqiLiqj8qdoNiqkRqqk5ucGTqqlXiqmZqqmbiqndqqnfiqohqqojiqplqqpniqqpqqqriqrtqqrviqsxqqsziqt1qqt3iqu5qquDuneQMGu/iqwzmqvDkGwFquxquqwCsCxLiuzhmqyNiu0RiumPqu0Vqu1Kiq1Xqu2bqueZiu3fiu4sqm3hiu5lquXjqu5pqu6Qim6rqu7vuuOtiu8ziu9nqi81iu+5muF3qu+9qu/Hii//qvADix+BizBHizCuqfBJizDNix5LqzDRqzEanAnxE6sxV4sdFYsxm4sxxqnxnYsyIYsb36syJasycImyZ6syq6saaYsy74szGamy8YszdYsYc6szeaszuolzu6sz/7sRPYs0A4t0baX0BYt0iZtxByt0jat0+4B0z6t1E5tHEQt1V6t1Fot1m5t0gYBACH5BAWFADwALA0AEAC8BFQBAAb/wIBQCBgaj8ikcslsOp/QqHRKrVqv2Kx2y+16v+CweEwum8/otHrNbrvf8LjcnIhYLKJGViJa9Z8JgVd1IiIWKxpIA4GMjQlIdXd5RUl8fitMdh59iUsAjGWOgSwDRqKNLJ1DfIZ5iqeMqkJ8Fh4rClAcMyh6Rnweh7haAxYwxjMHajzLzM3Oz9DRc9PU1dbV0dnay9fd3t/g4eLjXSYuAujovFYyGOkCBL1KJu4CFVQTF+/oBh5GE/X2pbs3hN6+dUfavesgb8iEEQJjLCkxcAxFgQIMkBhSAGM6FCyEcMBIYCNHj+pAFJzxzkAyJx0NIDCy4Fw6l1kGQEDnzsAG/3JAgwodSrSo0aNIkypdmiujQAoNoZjAiEJlkgkZKk4B6PGnEK4oCQYYKRADVCNTBSL8anOf2CMT3r39clGgxpMoKYQM0BHjCZN8UQoAKSSmwJdMFmQE3PcwFgfpOtCw4Y+p5cuYM2vezLmz589SsKKLN0ChAMRQwG6IYNorksb28GFAcSiCCIjoVMyyQKN3bwst0P39mhVeg9LFXYN9wboeYgkXDGT0EMFOhrl40WHvcrEDb98erAaI4Nu3BX2nT77oE8EgvE41aHz/jd4rZHQvQEgIvriJ4rsB3CdAfhLsJMBwVly0HWgMNuggUNtEKOGEFFZY4YMYZqghFRcRJv/ERQRMQRYBwigmAAO9UBJAXdodoaIUOrWYRBEgDtHhXiuONsSICixjIoofokMBYEywGJsYChoBwItJDIDbTEvcx4B4kEAkU2HouBaYACk02YliCPalpYFdWkGWbm5YqCYzG7Z5FDdsrCnnnHTWaeedeK55RJ589unnn4AGKuigf9bo0DlTHlFMOjO8YFICIeTGVjporqIPAQ9opyIfLbAk5AdUKnGRlkpCKmOO8PzjTqIJGIimaJIG4CqTleiDQqZHziJCCwFR8EFUQsgAQzoUVGajds080aEwSkgQ6QlQJrEslgKooOJ9BMhiQnHFmmhSX5UGOJosE/CazgsN7df/QQeRrduBsW7Gq2GymTlzjZybPSPvvvyOg60RDrhDQDMPYeSVaGG+U+YQJiJg4ltGEktkEn0tjARXQAaZ6hD/BjDBOQmnk4xoUw5QHbAMo+Pwqag+RWSBGL2gioISRAAsrbKiY/FViKIshIEESQARgsQNttcAsL0DbQBCCzDkP1l5GEANbaWz9FcBCUTqEvRi0XWbdl5mb79KfB0UvmTLQejabLft9ttwzwmdjPnozEzTAmCwngUQHewOYQJmCbDgfUFsgAEdfCDCA/WEOKMEaV2phImozX1k3Zf/rVLgAvzE1QsmeDpYtBwL/rARFCGu+APFOU7tgLums3DEJ8B7/1VWRCcRAXquX4x7L84euBElop3V8nq49dd07lwZDxYMdxSXsQQP9JaVAS+AFyebZ+ub9vcQqgn++OSXH1TAQsJQj8zHHigRJTK8xBUvc1MgguCzPKtH4f9YQCXCE1uAAUQnANv54nqkC5BNjHGuToimKnNjwP0657GqucUXEHna6RziP6gJTwjoO4FEQLiqXkRsNMxCQlq25jF9BGQtSCCLljaosSvhrUwx6k8ATseMi8hkGWI6Gn92tsMPqgFnQ4FGF+pkBTiZzwlKJErY3sC97vHgiVjMohnIwg+nycNUXFrC/Ipoj1HtSEb8a0JHrpYdHU1EHRp4BhedYjyPCf+MjBUw48c+Ugj01JEsZaLhEmJiEhPtzERooggK5MM6kTULN+FyCKNiVQlIqshECLHcXYonjz0CiCxVmQVuNpmVOtpxMLIoIoDS4EQturIbY3slFa8oy1ra0hrBYUkG1CcckzTtaUoQDQHQFyIznhIFwkjjEAYggg7MIAMz8NQqg2UDGwxLOjBcJtCQwB8BGKMeV+PKMO+oR5tkaxmWKxNWZlMilgWAmc6MpjRNYiADwECeM6gHQRKQIgDsR0gTA6GQQjWLFtiAXVpBgpQaAhYG3AE9/bnPBjZlJZPs0WkPvclGBDQDCkQTmn/DkRD+E9AnVPGWKE2pSvcVt5a69KX/MI0pnS4ygxH+8z1MsxVBHVJKdg3HjK3KSLQEuU6/kCAbDrAJahzijhNE5T4iLOi4jjm0jeixHuFaYQCCKjk8etCoORVMrnwnVIqhY6lJSICJnEqrvqDVBNLByF2MKUodBiAtHplJxLImtZHaVQonPQMSozDFlRqWX9I4rGIXe42K/eMcpDSaGLNWpqui46DVtAkFOnCPHA6oFiKI1A+RGlIkmGhrhvTgJrNGED2WsiGWFUA1D1ocGLzrnfV8AWitNBO8HQAPd9gEMEqKF+yIpqtMyKFxEZgEBySvdhBJlKHqOk3n5k0AM7jNYPTQIUOAFhi1MK0R4dDKLHjPimjT/0IsGavYxHbmQleQqXznS9/62pcHs1pFRbeaQZ+dEoXU6hJYUOK5cwDTrxrRRlwk6wv0RDJn1RqCP/URWXW0Mz17zJjGJgorAnuslEQi6VZ38pf1Jsadd53qE7Z5hLRkSwmfYMEjFrwOujJtv0cYQAMSAIAH6kGiURCxZc7LXsKaeApzKrKSqXHfJjv5yVC+E4up21tILgGMkkuAlSfQAQrskgLf5EcGRnYOryypadO8GKJCdZFEHWHKTBPtTLAMJTDqBs2k0+M9YQBmBop5ZBjAgJbQXEhkMWOwDVbZEcC4ILOOdauRevQSZIi1wTDruAFthlaPudMkCHnJhk2yFv+Z2ETxDcG9KNUGEqLM6la7OqYm6h1UTQLKdK2AGWRhAAuW0Wb/KlOcKoqcSSKwkQGoyEDIfPNZHU2Aa/VSJELaS6/9SkEhBDWMkzuVOANACYMAKC3ZnAAmtoqII5Ald+LyIhL4kMIA6fMI6DPljACAPgOgyXLRIkuaBxcrvGHHZuLdd6oDu2qzkU/UajN4HBDttSOLLYpCcPhSXk3xilscUHUhwAokYIHiJPvDQvLAADjuAuUkpzn4y3auYHUAFkjAROj41ok+sIIVLEpncMFdAjUGj413PCMfvygBIlCDuCqnHhtgQQQQim6aaLs4LaeeRuvqNA+4PAK8ShRXFGf/G4RW2+lf/0dG1rOCCOBK3UYQU8EXcAKam71xqjCRAWIwALyucgG+KvvZX8zzF6zAZCYYFnY+DerCG14MekoTwQ/P+Fp69rrCIR3n0qElvL6jKiYWJMwFcjXFZC0dJDK3inNsIIHMgHSW/wiVNh/X9CxB863fR1c7vA+tByT24S7Og/9rl0jCavdbOki6IIpdjTIjaeroBTc2f8EjxGTnYyBy4/dESyxK/+ETmr72t4+UuhNwMBPrsdfRMYO5mGY0/qX2WxJwdvwEB0EyKE5LDpDKaze67p9HQUDPbxwV7qN2/sEyarUPLxAc03RT78AAlYE589du7sZgcGEu+9AB/wF1H32FOp/3AiJFdaMRHAdWAhm4gcEyLC3hKDE0XmZwfdznDRIXBgoXcRBHXi2IZBSygttDcBeXgzq4g2tCCIWQfqzwB5VQCEJ4BUHoXz7ICVmQhP4VhOPWJLahhFAUDUfIBP5EhCtAUDWDhT2CakywhYUggjASha6wBFH4hIpAhuk3HkQYATZoBgxXFPT1hnRYh3Z4h3iYh3q4h3zYh374h4AYiII4iIRYiIZ4iIioZDy4iIzYiIDSBI4YiZI4iZRYiZZ4iYxoBKp2apj4Npq4iZ/YiaI4ihXHNaR4iqiYiqq4iqzYiq74irAYi5cYirJYi7Z4i7iYi7q4i7zYi/+++IvAGIzCOIzEWIzGeIzImIzKuIzM2IzO+IzQGI3SOI3UWI3WeI3YmI3auI3c2I3e+I3gGI7iOI7kWI7meI7omI7quI7s2I7u+I7wGI/yOI/0WI/2eI/4+AyL8AiLlgCpBAeaEAyWUSDy5DTENQW0sAlr2Hi6oH9REHgMkYhwwWcGxAW6wAAHWQ0TAAMZUJFFUSADxBJNtyLyZAAYgFZSEHgUMEKAlY8uCYuCtDwZiQYF0xIb4IBeUAO18I9gYDn8AH1TAFf7QAFA6QQ66QE8CQccZwEz2QZLSVx9UZSvUVYSyVRh5wXP1wVPCQZcwUIfSXzI1T6UhwXKRIMveZb/qRiTTxIHNYARs9FpWxBBCzkMRIhjVgAzGNFoX6gPbmaFccgdKCYHSeJpKKhGfyWRXSkGhASYkqYFibkUzFQIdukLeLBpVlCWZomWmtmJanmYawAWK1kHD+ACoSQGTdOXZ0B4VNAY6MIHEKGXS9A0pUkNg1kNtXkEYNKUQyADvSGGafOXcNgEjwkGBTADApcggZkFwxkUDKeacOEOXgkFgpSZm1mdlNiZxwkFwDlIyfcPSDkGAxApH4cGzhkFYDEXIqCbigAR4zkNt+kETLKdUvCeKSMAUDIApcAg8okZCZCfy+kF/3Gf+XkF9GkF/Vlp0cltX7CfV5CbTPCfUzCd/0oyhdZZoZGInURSA+P3LgQlLMTikcJZD1IJQsnjEim0HzDgATWQPBrIMe7CD+7SAS+QQjKwLg2wLfyALqvQfh1QlOWZBNmwMY/xohkRozPqC42kDiMKY+ORPCdidUJQdx1gAwsUoywpBBHwXAdwoi3wLubAD7DZJCawLvVgW+7CkmCyAp0iJDHwIvuBWTago+uWpAfid3c5mgKwDJuFhl8hgf13BChaAeXyoQFQoz26aF0qpyNIqIC6LhWwH/VQLFNgdiSIXR1wpYVqoxK4khfTAXFFADWQFQkam3hKfnaaMiegpvk0GFdqqEQypjo6AAuwLrVlpVXAZZERARnQNf9ZehNb+hWOGkzr4g+G2gDdxACYCgWUWg+Ik6wpk52nNKoBmCvqwln/0E0DAiwo6gEIWCwW+q1RhqFnZBekg5cEmJRvBIHzgBEaBhABERB8d0LSYRYNERPjRzfEl1C46ZlQ4G9WoCIXEQ3tmq/JaYVzdBNQ4pMYYTEHiw7t+nnngpAEqzD1aXrhsmDvsHMM+A7SehUXAA2kUgMQa2/PKQAdIH8OCwI25jEpMQul9w58VzQcWXtwCQkT63qvI3vh4gAoy7H4MLEzhBIsuZgnMVo3i3NTgD4GYwQNiwFAsm3NBZ1bEnvYBXxAugw3i5KqlJGi0bGvJyN4o2FKqzQJND//PTsl4Jq29yWuYTUYm0ClAkAk3bQe3URETUBpTKC0tME4blRBH2EBCCU5E9AbuGIAHwAesgAbM/AB1mQAnVV68pE80PejRCBGzKWchCsc5fGduMUPH8A36bCkgIoeKLAJeBot34EbBFAegCEge9s4PAV6saMpUiADh4sbkuEbgAFzhmsBsLsKk0EDGYAB+6ZvexMcE0UF+qY4gBt2oAkMJGhKsOIOktEBTgsCnMS0y/Y663F2qEF7ixQcqNkE9bM3lVopjdG7rWMpIce3KRcFy2sI7BK0niu8fUt4QmYCt4sOudsbJCCflmM/7ecarmsBexdWs4kWLcK7n4sBKkh9/zwAETCwHtpFlfsKrRAqBfyDN2vxvDcnvVUjGeILAmpbwvPFtlAbpSKAI1DFkvE2l8XVBAbCPukmuDbhGo5lBOFpaUjUGBugCkx5SpKTQyxEuQoaTCXUBU5iaVfRE/dpIF5rlY6zJMwkggqCM33Bd/UGJapBBKCEk05QoGSEINkrXk0XlUYQAXwKBVk5BGpsBDOMC59AJqoSeQ7xncokkyTkPqVzIp0UENEyAZwLBRaAqXg7xv/bY4FmPNP2gFf5BG2MpWi4Vhb1WggWYof5nvLZyEqLw1NFb04cGAKXlSYCTGUcBYUseo+8tQ8qqljwMJaTwFAsDDlkMRc1e0hpwv+6DFMoLLVfyyUvYiLO+st6KQG4QyRptEdEgz6kcposgESYhJOHfErjy8qLhp/YnM34mQgP5JtVIJtiOM0YA8OV1mxhHJgSsAzTlMxNBRjGnA3KkpyUA8dlxSSf5gzIxaDUVpTN0wAqIk6qcJ44Q1cWGEfNsDPgYpWNqZy+TEaosROjxQwWo3YRqmjQvL0/Q5UOiqoTI8bSibTU4hXGjIL8kxb3gBXIcGODoRLzPAQQLbpMGq2EicENXQWKsbiku2vNICTy0GPLELMXNRe7PNQu1cvqQB3/WHr3BE33VLCEudCVpmuogz8ZhiNcsVTg/Mt2uyVvQWgBV7bFwRKt5yn/uoYx3kwFzuxoXT2ZEOwM9VC6EYCuJSAdFUArZo06zvBAVFIAXpiuCyJIa1RSztkX2LMCZw0TOWrYClWm+EQB6mDVWaFhgGrJXpXR2DUDfAZNniIWJOMz22l2mh1NKad5H2QqyLWykOy5ii1eYxXYl+x0aebRTmDaeUbVpdU+P4E+ybAsUEvaI9kEoF2Q7/usXOvKDVp7Gygg9xRNHvXYh+LHbU3U0r022BktyOeQHOgRYZp2IN3EV2lMKQxyzcye3oxI2YZcXn3BE0N7djEl46yV5D3T5crWiH0QJVWge0QqJZDXovoifTHMTSDGAQrbk+uZ7H0a6NrKQ0l/lHBC/wl4aRbGnbExNwiCN2FBBA8ExkHmYQhGOgOOZ1O9yiF6GLJg3s8KJfibyU5NvhRW29X2n2Y0N83WGCRwH4FElUUQyVKRDgGhDUacwVGAfHPh4B9h1efQngEw3UpO3Sxzmg2Bo/twb7ihOJsQXHegntAm4gh6BOBd010LqPGdbb+90fnjmarJceWR5r2BlFixDDD9BFkdcC9D304A5TfxYPhdZlxu253zInAWBQL+V+VZnri6DzEbGveKU6giQa3gAV+T33mrIx3Ttp9bCHcQXIAB5FEgIBSAB4sz2oKuPA4W4lH8D9Zr6HGHghtNtK8d4tv9SJSEKj/RDPrdDDECA/8NAFEVQBYoHurQqlDpwACVbplOlzvQUNNUwHwo2GbedenB9ViPvOTSHiideYFMg3Wglwim8ttTcCOTpa5d7rzIHuczTVzVPZXcTr648epwHub7OlbL8+aAOruK3j7bMT8iFe59ZcR+fd6YLHCUC3gQZbVOYDI/FysStSTCadzNog9QoUzX1pSa/tE4S+vEDdsbETzThNpRIPCUwtEY3+Eh7+pG+CxEAt7LABLwPBIn4LsUEBwvsBPGk+K//u4H4AwMz93pPvFOMM/IxixA5gQQOu1E3ye3OTfWrqAYYxWex+4Kbp+Wi3bUpk45/5+mIm8jz9rfS9naC9UF9wxCqgX/244yLV00WJ+0q0Il9IbRHmRKqQVydRTvVXAfWkvzgl2YSvDnVsBi86PhVjmqC+AOHtBf3O31RVPqhJk7+50sZG7NZXlaW6BM3jLytallh0n3ZMkykA/3DfH29zEsw5QRLOE6di8FJAWySUAWepnhxx0bLPfcSH470V70tG8nHTIzDtsL/HTETBPZVtHIDrHGTmAgki3I2j4C7rAwIx1h4l3HW/N88dnqSNBrlDAi/3gRWvsESmssRWABixeAYakxKKLw1i8FEqAHmxI1obJHvTMEYKT8uoc19rJQt5oV7X/x+L+v0MIkEgAEisBwyBEIKkTlkikRKo3IoWR0rACW/zztdoIRbJhLh/f4XZaOjAYRAJCslJOMOVwPLwQGBFFyOW62tAxIlAryCANMjgj4/OjswpyWopKG8AaVLhHRHh2OMOPmGCFJo0YDJOboEkKOUojkjlSGYl1Ty14DADQzD0mXLvemLgJ5zo4OIKkEThB/76yGOA1mUR0rlSJA4rzAsorBw8XHycvNz9HT1dfZ293f4ePl5+nr7eVVCVYiFAWK0Tp4iDAgQpVHy5h5GCBBRAsBDLY9g0XmhMCGGCBKK3OARQRHKCJ2eRRApLdeAih4ECECTi9QTRwxIJEATzQmIgW8EGFBhMRCZQhEiCAChoBcPonUTLmypbUjKGb2k/+CFA0KgQQNmpx4ROfKiAE4CTigwONTFrRcBNIgwwUypNy4rhTxlVdSX0MirNgH4YgHvSu2UTHwYQULCf30vO0zuPBhL4k1cl1B0EJRbCTnaI3Uqkw1PgYrGo7gMCOtbm+Z1GQQY0ANR4+CueSSD0TBMpp/9RFA2LAJLyeEBahr6a4DA8hYyKDozHSeriLWIK31okEEzo/Cji0rAMXZAKw+7eEry+5L4XclKmW9feTWnCs9hDGE0oMFD9F91sSmOnrYF5MjqGyq5nC7x8ADEUxQwQUZbNDBByEEJ4AoyihDDSLCqvCI4EhqS8M0vvLJuA8fiiiB8TSkZiutSrqJDAv/QzQEsjA8IZGAJ5iYz0L8JErAIRIvk+7D0sAiUYAb38pQQw6J0LEMbE4k0YAYYPFwSB7f+rFCbGTkMDaSXvzQgCQQ+vAUn8rU8MzzjLysRTbCoPDCJSawUkOQVkSNTlVINKlLl4IzIpz2cjPIzJ9mPA+yNCtMdAgnbUJKqg9NipJEKu3i7ixOTsDvS+IcJQWnPutw0oA5uQkzyF/mw0a3IzXQpSYg42irwAhxzVXXXXnt1ddf0cFCBj654tGBou5kEhUtLYxPzwkM3SjWIWjSkAISwmExszAKerG7XpqBxIHXkJm2Dt/K+BY1dCtkoJi3IugAAzLUHWJcDTcwV0Ri/59iEovvTCD2sgQesJa5Oo+MlgAs30og4C2JMCJcuyaupc0ABmhhhhQ/wNGnAR7YWMOxmGBLwxleOHhbOG9SRatimD0ipVAIRc0BO0+wYOXzJiau50ReNIAGW98COcw8OoaCGebw6HkCcl8o+GdqTRA5UklfnOGDOZIhgmANZTpGLFrmQAFHiZle+q1xA8l5ZybY1TSMCZC9+hn9lBiDvCFM1jDlWgkFVvDBCS/c8MMJH8qrOhJQHDpl5FqBYdQYYkpfPiLXU3OJHJ98c1IaZ8q7z9sgpfPPQ1/Jc6QqZ+kmWwFQvKnPaac8co/1bH0F3JdwPILaJdJ9deCH2GKFf/8/bz1EzXXnHSmCVhodeOQjkWsbdIgn3vjsuffJ8dnrQFz88ckv3/zzf+1e/fXZb9/99zdHGLfw0a/f/vvxz1///fnv3///Aegg6sGPgAU04AERaIdYzC8MAXTgAyEYQQlOkIIVtOAFe5VADW6Qgx0EXkkwGEIRjpCEJTThCVGYQgd5kIUtdOEL5adCGc6QhjW04Q1xmEMd7pCHPfThD4EYRCEOkYhFNOIRkZhEJS6RiU104hOhGEUpTpGKVbTiFbGYRS1ukYtd9OIXwRhGMY6RjGU04xnRmEY1rpGNbXTjG+EYRznOkY5I7IeyXphHPe6Rj33k49PG5kdBDpKQhTT/5CERmUhFLpKRxWuHBCAwA0nOYGrvi4XZDGgCGHRgeI3kHgcoQAFM/QJaMFiVJ8MwgMrMgAIZ6BrcNtlJP2qSk/AbwHjwiEpd7pKXvfTlL4EZTF2y41XhOWBNPMOEGtjncp8zRCU5KAELWIA5LGyVRN4kzFs2ioEFwECoojnNatYBDxgY5/pqBIg6rpOd7ewfKdaRALlUwTzvu0W9lqAbVNXOEOZ8ISdOycFrPkMkozAHI2uUExrYwFk52tA/7VaqPOSye9tshjsxmlGNHq59TXOGOFj2OU4cpQlVwBPxZECDD0jvFyAlHkBRM0Du4e0ZEqABDUapR5nqCaakkIEN/5Lmwp769KYsbV8JvPBKYS6VqU116lOhGtWmrsMl5wzDTpECnnoqYQBVYIDzWIhV1Ay1hTSVKiSikMxDkhWGcyDSWeEaV7nOla51pasEWhCQGiDLAC8wqgzqNjNyoiefVSvDCf4TiLdMYBHNdEAHIPsJyEL2BQqYAGQDetmATKEFNvBsB6hThwm0wFseuBxgyyDY55kAsqqgwGQ7kNMA2OYTJNNcDTpQoYCEiKZuyCsMRimDDny2A6tirU7k9RSrYpO0ZQiIviTwAG8xCbCc1NhTcorXyB4BsjbogFLx6lnPhrZkkG3AsD5BHe3aoC0G8ABiRsmQ68rsA/gZAGs7oP+KTU42u50VL3nzKd10Ude8WhKlHf5kVwUvmMENdvCDPTgqNZkLkn1qpqLOabEKMfAZnJifksAGgoLWIZ20SNE5J1WGGVWYUhe2QzFpFTES7dMnFFrSSSqBEFTJ6AgzwM2sNATNZ6TYmLQg15N+YqRRTsBqlIpDHo5D2CblIbcaqoCEe6ziTRjpWlPgl5XhEuWtAlJDGLjMfI4mANkSoR8BhfCb4RxnOc+5waNCgQW05Bkd6eRHMyBpec4ZhcHsJLcc/gUl5nbTguXhpjf1gAL0ubwhtHkKD1joHCoZFgrwxAYZmNGeRbBoo7zFAjc1CAoaTQNnJPTOAj4S5VRhlYb/bAwBgcDbq1DAo5/S4Ec/VvEBLCCyk1JFCw+Zpg1mAIptMtoCBpnRrAZjAQ+dIro3VcULGt1QVDzAs3PYKptk9gIbWAZhuzHUB8ZTCaQKoAM0CHU+2PwBGhik3Y1mTnS7LeVlC63ZZQiOjqI97Tp4mM4FN/jBEZ5wXdbCT66wl8xGqTcKMGw4iOJQXjY30DoMoBWYXIKMzvnMcVYcFQZBki7wigi9nQBTAJC4LMPAViKMJ1/2esxyRSuK0gFgACKQnn5wLWkCpabItVBrof7wBN8iQiSQWbZJlML0NFBcbaQgOXGSTgQRkABhjIiF15NKiwOEKBZTkzk06tl0YTw9/1MVa8vEY/4Hhc+d7nW3+93hV3b86M0bNfkzMr/Bg2/Ph6KoMWskTGpUSj/NAMmINNHrWSO4D3bUJzl6h62ghXx6mznpXuxpxDqfA5jcqHkChtxlXDNxgcgOUWCRF0pTE6UmGFE499k5a+JxwIGhRQuEBO0j4+aqTgL1Jn5IdGRf+7mdBu/Nd/7zoQ99kdRLJF1D0SRnAAMPrerqAZhPXwtTu8OXVG5iCDsnzOZ7yFeTE0plwngMgP0MbJ+nEcXMQ6RHcOnQSyAXhhQDSg8W3gbr3GQAf6H9IOHwlgEUDk/k1u8Xum/80MIMWmQZTKLnOiDZZkAV6unsHjDJLmMBhf/h8Dxqbogm+lAwBVVwBevMC86kAqMlxoaPCfSmUQ7AxZ5B4xCv/JRANxihJpqhRv4MVNjP/obBSJBsrOxvxJRA/5ACUrijmqDQzQBA/QCFDb4OB+NuQKABOHqQnhDhU7xvoj4wAaWMAOdmW3QDDCzQyNKs6jDECE+vnsRwAcOQDKcMnJyQBfmwD/3wD3cJhMCBDQ3iA3himkSgPjxgnEBOtJKrQghAC9FKDkuOB4lgm9TAUCrACMCpBJWGC/OpEHcCEe2DmuoPFMmmPfbQJ0zATvIgmaBQyKqQ+cDlYMwCKRDNDjxxCsCQCJVvDm0Pw9Auw06jDdtw2XLCPkTADxz/xQOB8fR+RgJagQEJq/tWERCxMRu1cRs7SH7gAgzAQ8jkAw5TKUDq5vIwT/V40RJTzwIEAAYc4gX4YvKesQkdjnH44ts25+ymL/+Kj3JGgwwiMVOSYTx0j05oMVPcJCHTcQhx7AvxsOIasR7N8Nu6DwbNoA1jocvysAhRcRhPjwtF0BcBLQz6wSFnK3O4cSVZsiVdkpROcOjYRPiI7yPH0SZJSRRwEDw4UgyyjAA8If5eDSTtkTvAagxxMqZqxP2agx7ZBCWRQm9QBW9qgSlT0dcCKTIMbQsPMiSVaiORj7AmcgYrEvfwcE8ysgoIkQITkgq+ySOtsgyx7ivnYPIq/677CI/ySuQl+bIv/RIbs+n+vGHdaGwCFCsOs7IHPQYAchE1tKrw8rJlcOEW7pHoJuZfKBMb2kAbpAH2eMQNwMcnum4LHIkHOMNVVAEd7SABsEQCtGDYaCosLi8wsW7ylg0q6yAzx4ETJu5fTGFa7vIMuw8azfLbMHIteU8UlAAxqokJScEB80Zm8OM3SbI6BZA7PGdW8OkvubM7vZPurBBM6OBVUkI0HOKkkAcndMI+eJExeqPIThE3lUIlXIdaOCMxUCSZ8mIv+uIvIoJCqIMg+GILyNMDzHMvUaPcnuMrsoMsPkLoIAEgroK2tMKs+GMK/kI5uOMvGqAYonC0jv+gU1ADQBtAQAVAGF5FJg4jCYWxJCmyd/QiAsbDL/SCLs5QPJGzEnmPDDhCAqCtOT3kOXgkL0RARvuzRp3iIaKCRYNzqxBQLwHwO6V0SqkUzrrAAF7vETSsXYTu/wIjBoHicy4pAEniQyjARuWGN/EDy8AMFVCkUYKj3IYEQkkBAGJmQCzlQ9bsAI0EAzhE4xBiIKGwXc4CyDQEN1/sTVUsOGpQTXAE+MTwUc4SLpCQSyY1T4xRLbFOSpQFCo+CTSGmSGzkUSc1UpeNorSTTKt0VVm1VYUpPMMTr4ZE25bAsG4RZFxRLI4yPfamDiIABqymXp50+nBkS9t00o6mlvj/gFm0QLXeAgAcRmCU4GvaBVve5ReOJRyYpDEDoAZnwVDvRAiahgaChlbtIByARkOUFS+O7AaV5md2UcagyVhDlWcyjGt0FBVawRt8xG8copIcpsmwgV5Z9F4qxF3lNW2mhu/M0Cw26mEhNmLtQRf+RayEJ3lu54PKZlcTCHpYwnMuFn50h3ZS53GIZ6dqggSUp3Y8VnJ8VS5gbpFaJ2aJ53ScaUMkNmd1dmdtSBHAyVV1kRyBtn3Cc2iN9miRNmmVtkWXtmmd9mmhNmqbNlKltmqt9mqxNmv5cDi1tmu99mvBNmzFdmzJtmzN9mzRNm3Vdm3Ztm3d9m3hNm7ldm7p/7Zu7fZu8TZv9XZv+bZv/fZvATdwBXdwCbdwDfdwETdxPwfItlNxXzJDxNFxJXdy745xhS5AeGJ3Psdx6JQhVqA+gWcAEiABikF0R/d0UVcSf8F0XYxzaUcCMNdkuQURPSd07GMFHqhqwiaTYIDleiQBWEB1awdyg5Fyjfd456wmaHQJqjAGUUZ48+k6BMDMwkAG1IRmX+zURmdQ00VVSQHXWIrFPmFPJcICjibXioHM0uVgjiwPzFVUPMQplyFy7WCZTOtm9ZF9dFCByGArgecNjDR/kXeACfjB8KAnlaAGpITGcqN9QZHIuINOefUp8IN7b1FztJNHYIxFcZHL1v80zTCAHkFVHZcPFyDyZ5XhAjACe+USfiQwTlJLgmfqRgu4hm24rlJWMlEiBhpHut7qbkI0BowUDnFiYTSUhLHVW0anBmig1BrNAhzBf+2gUfFpPlhuiOlXhxdmAPqma5ZNlFrDZQTwzvahBgxFNXUYJfDDDinHD374Lbh2fV54CTiuQtB4hgWYdnjFhSCkbjPqhtUnXiUVO+PgftFEFSqBsSozCjzuQnMnWhp3Wg2i8JRBeuslM5uj8nwC/Rh0EWhhY7zw4Y7PDpaNJim1Mtm4aDqOY63uLgYAeheXElNxIwoojvV4V/j4QdTnWgG5l1NQkGMBhUXkKaaFQgYSPAT/oBosRq3ihbKOMgqCjR190ijpGL86QDWhuS3qpUYIYAuMGZZF9QW1eRuccwjGA42vkX+5dB1fIrr4pAM45LG2ywBgq7KWALVkhlab5iKUqwlawErgmUb4pPFwx6y0y5SK8gOKAp+OSwQMZV2XJSBstSKCNo8/5zDt9h28U0K6E6N9wqPvNoeLMpLh2C3KNLXWoOwQwUncb90QVDIJoB9/L6LKJLNcEGHqJflOWjqpwpOJQG9GYRXneJARlWYoAFlyrBdJwoGxAcTWeQoU9Q/MBVzhc6llsAhmjEdoSsd4BJfy8U+NJJTFk1SIcn1I05fROq09iORcD3jwBpmNSaYT/+ofRRX/Uikfuc4LSPr+Kqmm7/oQRCJK0RCuL/V7r4EW6EndUE/zdLoJpIKSAecEROAW2RgZDdFQhGECFK0M5G2hDBkp30NLjgLaDFEV5mTfLtvffjpdLEDUzuTWPkKD3aoBooCkgAzYYs077KwhONhFm9Yd1FrBzjq4u0eQ56OogVgK+uEAWiFcpg8EdEOy6TosIhkBZboO2roJruOUrFuvRwdvlnsaizdv4rduulkLLglHkFkzFkAoP+F9Fai9SOCa5pcQ1G4I2I6rOk4cVi7ivMAuiw6RjQ8yLKXhvmBaVi449IPMhk0ru1WvpzrA94bhUu/kyLKjjeGj2+GXQP9agzYczoa7kHiZdkpHe0Kce0YcHnppxOmK5IYaKZDpkupYAOx7Y37QClYRDWBP0m7hQq5bu+3vVah380b5x2O8bAaAGcf7Ez9Bja9zQMJCMyBlTUjp5mrEbNg4u5vjrZYhkv0uJKuhJrRC/7RcPDPiFn5G42riA7SX6KRgGXpSzD/RG0RCrG9hq2w5cNGVuEuzHuDpxIVJxT2owytXyvYXgzeE8BBiD5jMAIDSBUUVNySgAUb3JhPZrSC0Rt6YWiSANZtpoGKBSGoCAbpEGmnYDhxiY2AABpZjyuKCWTTjp8YtXWi2zklg2VSAjXUwldcxkuEvA4B1kmzi8Jhw13v/8ccjPVMsxKii+w4HhNiZb0x/opLyHHD3nM8RiND7UtvrjuSO262PwAbkrr7v76hRghDSeYqLj1glKjGHWUv1GkdqwgaKUaklokamBKob6wiNhMMcQBXisoQxgZsToBfr0N4rscHXEQmnAvBggfUO3hdo0wkNdQZW5cpZ4JU54RTEsKBipZyRcs2qHdtJnkrFChDZuvhO/jnbZQ1GUsIUG4k/7gg26bOcC8BSUZgRTGbEq8rYLbSA7EJG0ie+nQ+8LTgI5kVegNLUXZpzzhcsJQbE215P+N4Sj/yiTRmnyT7uMFEUGU/ilY2LluI/ZGpszFrC8me+/ixo0/NetOTh/z7u9YjkOEGwY7kzmjKlX+TkvpzoVYxE/Gk59x01LLgMCAHIlPm/eUSeYPb9XrHq6XggYuXFFdnuReXmIqMDDP5qTD1RutyowtH2iF0nZ/KEGd27ixLq5G48LDxNogzvS/866bxsfk44T13ucX+XgZsluf2sSM7oaiehTGLjYwWZCdwg1GoMJIkAWKpqjhrYta8MYGB37VMOM2aSgqRqVn3V568MZgAquvU2VhtWTnlV3H4dxRommKHwnhubML8StYxNvvLtFn8ezTIp5T/159KoUxoIMgJKI2AMLASC1DEpqAQmGOXhOJkNLVptS7kxOqvHktcoHRaNkpHAQDo22/9vOL1uv+Pz+j2/7/8DBgoOEhYaHiImKh7xNDo+Oi5KJkJW8kxi2llucl5mfoKG0j2KliImudVBTDGkmXlo/EkIPamxLR1xKFGwGJEJtNL9CqC44p0xKNQ5TBHhrSnV6k24ECur0UIFQOPCnSlpwxUoEcAxC5zM1SVAkAMYRagfjVv3naX6RssF/AYb6QogEAsOKgR2+hnbtiIOGiMD2nX75ewfOWUJQihhgk2JCobahnUMAPCLNyXBnEx8mNFMtiMOTCZEss8UzZo2a0KiVAlTzps+fwINKnTopE5GPRFNqjQRKnlmpqDzIEFECwwMQACiZ8BDBIjprNAiEEEGVJL/cIah6DVtCgqsdJyYtcNNWh5qxNwaoXeCK0R8VqDSHRONwAoJFqCiuEatg4gIIm4JUPEuwDgKFkSssABZI5976uamknBBCQoSCR5EC8eQggcRmI+I3uWBhYQIVa+CiVZaQhd0aWITM+2E7rADGiKMJqZWJl0nrVQG3sbGQMfhu3ufSPNNACwZtMS8nbl0PPny5kf1PK9+Pfv27t/DT5rk6zJ9+nDLSm5fdQAT9knjJRhpyx3DVoBRVBNZHnPxZ8cZbcEB3H51bNcgdP8ZYNBTGKpGTxv2EXBNZ1NkeFY0+Lz0X0Ai/mUfflHQ8h9+w/2n2jAgiigBRP/FIA44sCVH/8AESvg1DxXMqRjOdi4emFuR8UGpyCZR4rQTlVdimaWWW3JZihMerLAQHRN08J9xgUiAUTQn9FiHDPa9EFMAKSq3xwRCJEbHOWnlcVFqduLJ4jY7ttEgjH/WMYAJgJEmj472UdDmETLAgOGZftyJjqPJ0TenflQIekQEkNUJW2/6wOBBHCc8ANhWdSDH6KVHnOaiUwCp9o0FpIX6Szmo0MBortUQQCoBCUmwQlfiddmss3CQIsqUz1JbrbXvpXftezS+GKFrmA00iGOuNQnbt2JWO64I5f6RgLpyKuTaCuHS4e659ILy7iFTycvuNt/CG4C+d/D7GijzkVDwgUMK8P/FuOiaeKKG5x11lLYXY5yxxhtz3PFPNPLpscgja1lQXdXEdceN6VTcsssvwxyzzDPTXLPNN+Ocs86ckNyzzz8DHbTQQ2fcVF1CbLCz0ksz3bTTT0MdtdSREF211VdjnbXWWxMyTokFNsy12GOTXbbZZ6OdttpEIXx02GvDHbfcc9Ndt91345233nvz3bfffwMeuOCDE1644YcjnrjiizPeuOOPQx655JNTXrnll2Oeueabc96555+DHrroo5Neuumno5666quz3rrrr8Meu+yz01677bfjnrvuu/Peu++/Ax+88MMTX7zxxyOfvPLLM9+8889DH73001NfvfXXY5//vfbbc9+999+DH77445Nfvvnno5+++uuz377778Mfv/zz01+//ffjnz8g0erfv///b45/AEzeZAZowAMiMIEKXCADG+jAB0IwghKcIAUraMELYjCD+ANAATXowQ+CMIQiHCEJS2jCE6IwhSpcIQtb6MIXwjCGMpwhDWtowxviMIc63CEPe+jDHwIxiEIcIhGLaMQjIjGJSlwiE5sYvqlYoDUBG0oCEmC1CYxgBuCx0whgYKhFDCAB+ApAFY8QxiqicYxGqKIaDWECGHRginQzwQwY4BS4caCOd8zeBGyQARjAwI7sWYMWfzIAC8BgBhQopB3eGMdrkcmLu/OPfWAw/zGl0OOLNAGAYSywx0/UIIpqPEPKTva2TNglZPl4G42i0QGI8aMMkhgHBj7Zh07aUmheu2Tcdgk8GYgyESkyQDR4+ZNQwsJBUyhlKS4kyzr4UhS4RAQy2+iNZebuUSriTFLOMJGg/EKTk4hNt1rEzDsw7JyJYJgqY8lKFR1JQOrsWhuM+Ydwbs1odNNn7xIwmnIOAjoUoAFB5ViK2BRDmaesCZ1e8AAaqMoO0QwFPg3hT2D4y5y581CcpsIGcfokDESp6EHZACEKIc0PEiCopOrQwUHYhQEE+gVJ6EEALnyIOM9UhAwISqBAkBQPL/UYP+VW1N1BA6CCSGpGbwKNhP+idKE0CeodZGCDD4QKE1RdKhuUSoeV0qCltGNYdESQSz0M9RCZosAn02oEtxZiq58YgEmzSkqHDMCafYArpqrRTprmhi4TSI5ZAFseud6Br9rSZ157WU+87o6u9diXEMqxlAFgJE8UwmYABtDYUgAkJEpB7B8GMBrNGs+me5AAyHgpgw68IAJlUsIj1dAC2P6UTB3YIhxGAofXMqYLbHFKBB5QKSJ1QKxGqMGpBLBbtSiqAx2gBQM6YAPpinUCVYlGnALhAOnO1rngfYFipnCAGhxXAC/46Wtt4N4OfJG5+nguIFI5U1k6oQIF9NVADLuvFrjXvd21RANa4IhImXH/AdJNEBzBK1bknOgAWdUDcJVrAul+plUCYItrMQyHC3fXVKnSLlRY84f5UEU3d+RNB6Sy3SFE1AgOSK8WFXPbL0YyxjXoAGBS9dMAUGpNMf4tbBvgHe4aNArSxfFtVTWfFbQACwKAgXKBnF4K8Ae4DdDwEKpMYezW4cIdyLAQ2NJSFg9ZAksmhAX0Q4EXEJdUEo5Qk9FLpPUSOY4vRrCb0rsXdDYXBcn8rnSRO94J44FSHbgFBcA75gg9AAsctoOWTUALA4SYD4SerQEcTV6WNAy9UsYzHYIsm6XeNryO3iJvAmyDTEdoySRWQqrgsGN9CBq6Ymawo718h00bWrqf/56Udd+bZfCyZVTkOJCpYZw5boB0sCoasofscwINcUO0FJGqGkbTKcrA89pAgidvAfKfOUgoSbaOkcT2ukp44idTKhKIj/TBTHPb56wU8ut93xmYX0DVv4YgK5HeULEZtCnd/+EmJe0DVT/wN0JCwIe07YOBDj3WSF/b0HSJGQ2v2qGV7b4mMdiNUSM0/D5FYJhll4EFkuQRQ5fUpn02gC96hBdRawnIr8sgciUgnM7zDle19RH0e5KDXhKoBsU/pfO7goXbnSEVd3urIn9EASpSHgzR4UmdCBEqGjanQ8r18YYbWRzkdyi6EkikjorbZ8h5QUcHtv6jPqCdSRsaOv9swr5MvToInuTwhscL7iAhdCBB0ZgIvvWBbapPCOKCP7nGxU4Htgtg62Zhh4rGXrlGTDyX0DHABzRDpIk5oREHsECCQiZwbtiTkikbjhZF0Hq1XJQCpbdAeEU7C9J4wAIPqMbELEDQW6CAoAR9++KDf9xvdoagqEHHB5SfzKwroREWOJW2rUqD3mzgpb93bvAfkIGN24PfESNJfgnyTIEHAhI0cO9oUsGJ0oflCBao/i06QIPq04A60AkKCN9gAEJsoJ9hjR4NmJ4SoB6zFJW80RYNlInahQeRfIDtwQTJ6QYNdFUvDGABDp5oYMBJkd2PjB8KuEaUFQlHpdhKuN//iXyADbiAAYBUtwGDnFASFAzHCZRegrQcuCnBC7xgNyAJ6VlA/uVHxq0SSVxI6UGGhthFXGTKPBHMLWAAEZqeWYTg9PGcGSgeAe6IaA0HEirh3A1hEXLTMMDAZdjAFLzBBEifEvig9QFeHdTA//UGAygfDaTBAjYg+gnhLjhUNdygFcxhGwAgRA2EXZAG70WDaLngqXATH0jAQ9HAxL2A9UHa/AnBt7WIK3ngyQGHoImA+QlA8R3fBBKUDeibNyRiHRLU9RmB94HfBaIAlzHAYZQKPWShGlpOI7DCFN2DQQAAdJiFE4jboSjIoXxTiqDAGCEgLznB18ibaFmAWPnW/1MYQBAOgAj8GD4NFUQMG3RUYh9IFmp5Q4IkIwyOCWeRHAEU0Df+2DSonzwFljYkQMNxBvydwkxUAssIY0NEDBQMlU0NxDkI4h6IlENAREgUo0M+U1FFIFRs3ATQIkOenhkkR65AxTJGQTIhpIwZXjs8ydx9RaZ4Izi6BB1KyjlA33B4XgB4Uh+MAyjOXYmghBTuQhqkCJu4RDOkgTLOATIkmdUJAHhAR0icwzIiIxguFNQhHTq0lAyAx0jOCYlIIVSAR29wBlFuyEQ05UsKpS14wXLwhjykI6L9QRUq1Nc8ZQyql4jUJCBg1mSNSYK8AENoxFgGJUEGwlGFHLNEHf9VWkEyncFKhuPdFcJdqiM6oczlPRY9dERlvIFfylhZUs4jtFMdbOOGzMgzAcBnZpKRRMcqBWFgxcVnKpRZJCYfBNUjVEN2xOMd1kFS1eMZ0GZmSp1UtkhqCoJ9dQLtSVpF4KMk6FMlbFE7gOQqGeRXfaI8lGZbsoJbIINbsCbD+ANFMss3aFtg7pTAfYOh/F4L/sgOIggGVAFTIcgX3oETVKITaJsTPKYfoOdgFRI5YUVD5qSG0EN8ckRgLScT2gNbaEd1bhsVGmh7KqjU9YmanCNsfOIlTWem7GZWnhJ/BgBz+qc7BhZTbuCCmFQ9BoJv5sJOXWcM1ieajKiDVAP/W/0l+3koc3ynHwhmHbTNZgWoQgHnQTAmITwViZLc7O1D2+iCTs6ofH6eI3SmZAYGNODDAvSEVJ4DvcUG9KmBmtSolEaLW4qK+c1AmJZFYaZKBFiTXJ1D5oXpmg4Ii5Zgbp6fTLUIb4FaKcmboJkpTFWDnB7nzyWlMOwUUwDkcGoKoJ4m9v1VoO7BUm7bVf4olGoIdxaJNx3l2v3oa0Yd1pEcnzYhhlYBwCkA1DkinoYKRKzpqf5o+w3COXwBqHqpqqLkHPRFBpyqlGkDrIIbTuoBo4pEPDGHanBDHEZm1FnhbbLBhepoor4NMixHpoAHruZoXyQSqkrDL9CpsZbK/8ClFI4+6nTIA3wiQpC6KDA0q3kZwY5MK5seKh/caHicJPZpKgfi6Zn+6CCIqz1KldF4zdkVKrrWar1CziPEa3g0J5TOgcn85kCkyWP5ozvRm7teUmIOhJ8uFNuVho8eat65iJA+wwfyqDds6ztKncW+osgq6xc4wpS5VzXMQHM2rCEkJ6EKolyZ6MvmAWAZbBygX87KRJFEoF+xpUY2oxmYBF5kyorWbBn8Xjl4CAmkCGc0F219BuRFXj4C6WgwLR06LQwirJMYxFzA060SaNdKXtggoDqQLTSkZMhiX7F+1WkJadIu6xQEoVROVM9+rdPViHOuVouqFdvq7Mx5a/8MHmLfZus6umfbboPe6oMLFC63vivB7tHRIhrJYuzjduzhQma+7oN/pAIZuAHYWtzFLenE2dOqOApGRGmhWkGbNuqGtkGN3uWh5mgAAAA7gWA0tKEIeMD0pQwd/YcxyRXAicBlRNEWyN0t+a3INigzmegRmIDiEUmNTgOe9BsTpKw+QkQ0Huci8JPMOgXNAq7NPoO3NUCKBGHtboPqzsFNfivrQqXb5gHZQqMrPO+GpAxgqQQMNABkVMCRXhLw6sPXcEMGtoYWBF9dOknJ2oFKEIH/AvAC+0ho3MLqHTAC16WkMrCE+gb6ut+3LawAxCE8Km5bWi/Y5K8sTeGQ6uz/+4ZGcpRe8UaRa9QlrhhukwYnCaNuhLDvB29w5uLwCmsUN6zeFmgB7/5wCwvt5OpwmNndjhbkvizvMQyrEpPBV4BuwlSwERtxEhMOtM1vt2YcrvrmFQBDBJywnrBFPZIxNj3CAbwDJJQSJ9kG1xmqoaTItQLpFFtBFZfwmADuV9Vx0lHn4eLTJoyfaJGvIADA9zqCz4oHB9HsGq+fIOTXdFotbExHpKLDJVWkg9ropVZWuNwvovYbzGGAAewKDHTBBrQDlv7LqdCbn+gq5HrxiZ7AKnfBC7zyUELgPnBeLSvxMANCfkGrGItbGQeyHiRVwDzIKeMvC+ekC79BMJ/V/y9E6FfxMUw18a9GyLF6MmHa6zYzKMiGjTUjpzhzq66WsiDLsqCQlkqRc15y7ufuQxbT8i0zjhP0KENs0Vr58p9279zNwHFFKER8kYYaltFUAjNNBjQeSB4rFA4PAjrvW1T6sUbtwTlYoDZjlCVUACSoBkBo1iIHQiOLxyNAcpEAgES/FKXGYDavBQYkUg7G4D8LwUSQVAIMLrHCrK+6ExUuszMaA7jOCa0FxEvMAN3mAUe7Ba7iQbv2QYpgAQG8hAEwtQTvsBCClAbn8JRhQUwCNUBLx10MtCXeAvWCmlh3gzJn6C/jAyarDK/oAS1Xqtswk4aSNTEXgp/A6EU3L/8aYi67qvMFTu5Q/xqCmgNQVzRz6psQW/E974Nc5wEdwUAG6HHhkFUl1mWKEMFkAMTDOgdWHCNEpMAmaK2OehVKFEFpc60DBoAjEBatIMtpLUxlycUtNEgENBUe0IM9eWn8tuY6tDYHm6AlJodo+Yk0kHFLBPUkzMclPTI1i2w5vNRyGyQn0YJa7yqhpIxnu0Jo95evKqQ8QPYgOMcfmjbintNyc0Yig1pGjJ8RSgCy4IlbIMRXwZJUd4biVcB8Pytcz0F+Rwi6kC1/44EzpbBNb5uVHuscxOUfUNLDKcQaqUk4wPcf/7FXuxOFRwG6yBt/8LaTnm59LTOB92pA0Iv/+hYC2fq0Rk94QkwALJ1YYfvwcN9BAsi4bQNy4tLT1+1cyuxrLNlzKlBSvCYLNFle43CUsoiAEGgDcNjRPuqcdSSMVyALZDATZcvlbmB5YDFADGhADehHYREDVwyAsnHbNxAhuQiIeq1Amr/RDMi0HqBEaxiMhkN2soQJWRBDmKxAGpABnqb5LcivEVQCV4yKIxxsvZK0AjzCQLnX/FH6XQvMCjQGRHBFmGjAdN+4OavXt+BFcSgAhJHrIAyDIEq5aTRcONDJAbCAn8OvhguCh3g5HRrDeRtqUpZ6cpzUcoubhygyMTRGoT8TN+wFbdRxtyB4Xe+IQfQFGQq4WcKY/7K3gAuE5krf8o3wUimyOqJAR2ksi6ICimwMgGFkgJmDiqmfVHCXs1ZrNTewhrWb9bapVwOkeZlQo2zICyHc76pTeb06gT5f4F70ezS/uLzPRm3chqXzNRxEQJiMO5iEidF2cz4wRpyruZ1CRZuvyyDoxbkUeJ+zBaAXQdtkMZG/gcLTezl5yKH/DeepG0nOm4j4Kel6ps61yGe/p+BxhiN23psHr0TtLUPMfInKyIFGJTxi3sf1gsYSqD2YXDTEGFR7pzt5XYkrlOBBwd26+CDqnMzzCJDSQn1CfYjAhprInDTTU9gyLx6IvX20FH32AiVdKNSnIgfKSIAMeYsDiP87XajXd3Ifw5tb3O3dykLZhwqd4IjQ15wgpOnjr1HYEYmkpBPbHz4TSqDeqQHlRz3Qh2iJXnzk6wPa+0hzFsKSMHgZw+PmR4NV9LalLiT2Zd7Rt/ONbN3ss91gF+biuULTm4QC+NIVGwToSuHUF62TgvLhLErKAoM8OIDTzdmq0EDV6klPQi54DBWwCIuesJtlhKwDQB4KnO4+2l2WSe8Q6rNsAUbIuDtkN57DKYP4/4cl2etsPYJqQDVzfAEQOARDYvFECiSVS2ZgkilGBZUAh8dDKheCYzNhmhWpysQjysg21evRMLV2XKIHDXPSJr7MXeXEJdhYE2zi4KIJIxr/W/IDHCw7S0sqGTpIehJAUVBygJFCQWiSaJGi8GDa4htUnRSodMIQINBMQo2sXRIlNaXlsu1VHYRwg/sr+qhbMjGy+AsEVrsbgh1SDEgYNYq8dLaE4i5MDbhVyi3CYNhNhirqaGiKgDEgQmF5hvYWjIv6mF0at1cVYQQiTPWcNFuEjxy2IqUAEvrV5JKURH0UquHkCZSaLwSnPGQicBomEEoKURyS6dakLizTlCsCI10SCXKogcSZU+dOnj3tJRARdIXBd0FFuGNSYAgJCUZLrjnpatEfCkjXbDHA1OmaCEIddQ1qlSfYoz7NNgEAYE0CsmJ1NvV6Vu7cZwDgiljh/7NmRK5G3SoZAPYvXSZ3n+68m5cnW7+DEg8mTDfx4cjkoJyAnKTtGrgrkOk1qjhU6MpqHgsKLDRzaUGbWVc+/Zou47CybQuKbWdev9u9ff/GqTQc7nUbl5zkdlVAVuDNnT+HHn0ncunVrV/HDrFRdu7dvX8HH/41KwEqxJ8PLzzSaAs2CZheEYGyGqzr0d/Hn/9sBAtmhhjXL0ABq+PPv/IGRDBBBRdcUJhYPmMwwrmEA1CiKCoESSkDMJSwQw+lU4qI5D4kscRBQhxiRBNXZLFFF5cY5QTzXqTxFC44tGgIBnAE6J8afwQSmC2We4G3II/Mb0gDikSySSefhDJKKf+npLJKK6/EMkstt+SySy+/BDNMMccks0wzz0QzTTXXZLNNN9+EM04556SzTjvvxDNPPffks08//wQ0UEEHJbRQQw9FNFFFF2W0UUcfhTRSSSeltFJLL8X00RJmMGAGTqWybQIYYKjGujsYKBWgCTrIANQP75iByUxnpbVWW1mswQIPICyNvBR9mwAWFaULdjs1+NsVGmG/yzXZnYplYL5bp6W2Wmu52yta2ySwQARljA0Vlveym2CIcUORQ1uJlu2upnOkfahYeq6lt15772VNgjbUvY2RYUuT4AEaYsCWBhpEK0wOFOD11zt9MVkNmEvmxbdiiy/GeI0B2sgEWIT/thwgBEyMtOTjAQbgFbqNR+YJWqIyhjlmmWl1oAObhzDAZptlpekBWGBBwT6QGoajAyIMOIBkMIYoxQQbXhBLBpttsKGDVKVupwV5BICB4IdM6ADqNcDuIAupqbZ5pgBqvnkIncOehZEDauhkiBdetqcphgSY4QN4VWHb6OXe5jmAgMMAukKXlcC6A8pkWIcLtbFuoAVEKPB6iQEW0DnzmT8HPfQufZWC3wlsiiLVeH9V49szrBoAxSIM2HAJ2QV4oQkUtx5iBs+B0RBHYZgL4PYRST/jKUYoIiDlVVCiQOhBkC/CdNSJwKCaiQ361oB0EnBw9uaVuL2I3/e6SXT1/9dn/8kJDPaZiw8EpsGDWQYI/4P2iOBR4ouWEEJK+jONc5HnBSIInwAAJAODYUNFQ1qO/opxrmewQnV7oZgMbEADB9rhAfPr3QcMVj9kFEuADJkRQCaRMwsM0FxD+6B/TjBCEiYBfzijgQXwULuSkSQArqsGig7IkDfwYggnkOALcYE61bXPiU+EoodW1rF1LWcjIWNdToo1rBCNb22wqN3DWkG+Iwpti00YEh/KJQAGRGwR7LIDHPvwsSZMkWQHyWKIiqgqC1DmEsOxBxapGEcr2tBB3GBEJk7ykU0cMXMBrIoR1UgVsUhAZALIXhQ1uUlODuhhFGMCdfqgo7/5D/9cNIEC8ZIQIipAyyrFAuQrTikOSixheP1LWEHEYQAYuMOCEqFjYUZwDrxZAhaRTIID5LgTVOCSMxwrZhWyKEt1yUuGv9NjUoYwoyGB6pa4CAHimthJcpbTnM/5ZDRZucTlSE9iy6Tmy1gRiAAm52GxJJo/0rdKvjxDGEcQIxWwgqF8ClOXEoECKIvlqmcMwAId8JSncOZOx+xLnfs0XBuItzwi7JGMQ4ABBSKKiDEMKYj9tEYEEtAA553TpS+FKWHSSZ9CkkOjFB3EGQl5vF/NExc3hUYwecFDfhL1GSdRgQk3cMM2AnOWNIGmsmKRkKfm9HrZyEm2otnMn7bTmFH/AKXhriqFktaUFydwZkzVula2ZjWqaOynBIaHU0FsA6Gn9KlPySEHVU5llvWxnVcBEsAUkAcFp3tqQbsa1j7IUaeBdNCSPNAtjaY1FCJjwFbjKrKNToN3oELfAbrVQhFM1gJZAKwWBNtW1rbWtc/AoGYZCVWzDg2e8pJnT6f5sL7O8a+rpWVvVSEBbwjjBRk4gQUw6tt/zfSuyXnsMy4RPX0KF7YKk201eLuRP5IggAdKQgJEFsvq+sK6r0VvetkKPgFQF65jzBEycTIxIxVLvrQUwBugdRhGWFexwTUvXTX3zzAgQBiISKFf/yVelH4Vuv97J7h4K2AvCMO9NoJv/zfaixTc4le+6xxEaocaiQFYLgMzGKd6Vbxi9g1UDaxoahJO4kWc7AUzTGDwbIm7zYwOw4j+haeIAQySRcIABIu8L3MF4eLnvrGqaygWBbtHYbgaVQmskO+MSwi0eojRi6xAgVskIBoh+0iMs2VxmtUsuiGVIi5iZRoJvlCRnTgIHaVFiuuSFgGbUGyRL4gAQ1Q55hWsQAZAK3RZigdcIVdQRF8012cIbWhxFXoFbmmzB94c3ehKrBgHYEHAjkZlDJ9A03jZq46YAsQcUcyErhBjKUItghacAyllBu6ZU7xmXve6XiYkAr+Uybw7qmok6WOvFAyQuWQr2zgh4l316v8RPH2idWjroEJoA4uS9r6Mo6R0sJP/teRjz86yTq3eYYYtBVk01oeSwBl3I5e8ogKIybRdrq/1vW9riWQelOHzHFoaLxiMhNkGYlqFBuC6vu3LKhCkSMd85KNnJKANfBhSghcZcSP5OyUGKeh/VXGNKOihwQCJAETn8bKAF4EOVB3koqdKk72BNB3g8EU4coxmfvfc5/hyjWwSg5oEJMAaHCtll+7ixrkEHTGhYfrPpT51qoeXCQGMedW1vnWuy6wmFPjACiTA6q6X3exnp9eZj0ZjtLfd7W+X1AAeUDemqQ3ud8d73gtllwhEQO9/B3zgBT94whfe8IdHfOIVv3j/xjfe8Y+HfOQlP3nKV97yl8d85jW/ec533vOftxIHZoCGDhUdGEWXdDg7NYMLR6cEGODUDDDA0CqMntSqUAtwmkLaYrOFtJnhT7dWQ5ak49joOO5KC2+PExNkAHPikYDpx7IVrvweGANAvWlE0K0VFFszusJLS3dfG80V3fznP34ABsCCUKM/ASwYOEDMr31ddb8JYCD9yJNvAc/gZvv89z7AkL7CCApd+QtYoT3jc78BYA/hqyP3Oz8NuIIJpMAKtMALxMAImCxF44ndA8CeIL7ry763KEAP+Iv1az/0g78GtL++CIqkC77wGwTsS4D48wkIHEEbwsEBDK/k84D+/2MCGsRB9vjBALSIGbA7ZBEBv6sTrgKGZok/bjmt5wAxKPs4mrgeK3sO0uEi4LoNKVw+O8CDo7E7Eyg3AnCLaCiCoAmFBFq2ZygAeVAEUYsCNFQDKOSJKvQO8lAdurnCNpyd33ECm9gaNuSMPsMbiKsliRhDnBFEM6zDuCm31OEnbsuskMADfhkbOlMC18EZV9EQijqdcvMeRpQCu1sCPkyGiNMGeGIC6rmRTlQ2Q6xElKAHDMTFXKxANZyHMHSCRlwOVIStRnxD3MADxnoGT8QkASibbbNFoliVUwTEo1EdXnTEQ0yJ4kMMYHy0HuK2MbBGIpiJbyOrVZyDCIOuq/+iRQbJPe6gONNIl6T7pea4hBhTjvwCDKMAquqAi28ZlkazjXnUiYmQAo/auIZ4pUncMHYqx5yCAnuExUvsKgrQxhDLN+zgqFKpgUZERvShRHeTBiJIMtXKRmc8R6pqSJKkN1n6xlqkCIkMgBq4HmRESTQrn0UcsZxSSHCZiGjLMDsoBptEiVTotCaAxRl4NuzBKpcsHRDQxafEQHJkmqiryZN8CEuiiHGCIE20h5vkC6/8Q6nESTiLgkzyq5TEsHeTKW7MojVqSZaUAkTitn3ySmF0N0RSyJFsky1ASmB4GK58xYu0jW5yyIWsMl8sjaIcMntIC7MQyJxIo12RqzL/+qpYaIABODTWuaH2ioEBqIF1SI4QOYEYCDTKXLKxfD1TEzuGKJVPokqa4rnsSKBqQB5kFE0PiAAH4YPNHE3PBE2MWEOi+K4XAIFySAX08Z6+s4AMoM08iA9aoxhuoSH4Mc0amM4cWgepqM1oUoLZbCS7KU5sSAWATAgU4L++G8MUyjQNmMyT804tWJIljAAD8SK7mh4BoiEPOIwFOIED6jvX8SLrnM7lTBGoNFAK3EzM8cxiGLfTlBwFaM8bewjRJE1ssK7vOii0WLL4/E8iCNAcoiECzbDIZE/dTANoI00Ttakjws35ZE6MGAmaNAsxsoDpzBzprNERkqEsCBbz/3zO9KSJHB0hCxDPLBjO4lTRulKIBO3Mz5ymNwmRK2JANbCj+4zNUIGC1nuvBCRPDe0XCBsqKb2NxwQJrNQxm9gIMGOBxmSFcTEh4wigGNsx8DIhj7KDLI0EB3i5jyqVKmUmwawO0mnO9hIBiyoMbKvMIioWoho2e6SJS/pDmQtNHwsAGMuCdlzRn3S0mVuLyroykBKBdOHOSv1ISbUlSk0tlGkoBxkDM51DTw1MMQAcWKgmdkmAKY3VXQuAxlSLOC0li7OiAxXWRYXTqbzKS5pDNF0DTLWM9KnTUOBI7mxMe/BVQQBWBXrUfdouVOIxltwjLKMrM41UyeAYIzRKJf/SGFa10typxORwEDu1hinVKWLdhGN6TTFBhRWwHJB6JJ3BGcLRhIWzmWlggKnpgMzBmpQjgmZ8B50pHKh40kM9ucUMhfhJnDWwALqjgBd4CRHogKAEu79RzHw1kOdbArt4gMjpAA6pgQ4YiQ4ANRtaABToAJso2M4JQrI5WIPCVpIcgzb1K22JMiZwkBkJIC+CILY7jojd1W0bg8D5V5u5AgWoQIQLGkw1qYWwGc+ZgFrLg0pqAZnwQ7sZVb+UAwLwj2pwAAYgGOf6ThRAhkUaH0agoAAo2lAaAgsIA1CKUgCKtCS423xICXNdghxLMTDrh7W9ArfNJQKowr79TqT/5QKPnQaG9VJS3Q4xAoXGzFp2IoDOxQ1llaUNkIFiMAALFMh2ZFZwqq1YzQRhncAkyFiR5NivqtvADYD5pLuc8RzN1afY3B+mqd21SYm49VBeKQQDINCw0l0imIGdHS5YfbHBVQvfbUwQwzoNUAu5RQZ1BYaTYIYMzd25OxrotQOvtZtKQjolWF0vQNbneTLD/SgAOdrPiEZzEQGFuITbXY4ECwAZ0Fi77BJFNB94s8SS8EiK2COvPIHY/VRwc4zLoChRoil8GqspwNRwzKJJuEAtDbf3koK+7IMLLpWD5B8snMvWZCIcu6QUuiEeOlq/nTm94lMjcgVg00sbE5p2/5yIn51LmEQstOxcMcq/mMQAC2zgCQwWhVTaHvkP0DUoxiJMuGwqGjYi7RGWejSIe9KGP5gXLQ4MldKON5CAvrNBalqNbGKC6n2r90KAIb6pCkwogyDghFODdlTjHDOOF66QKGWl1eVhoOEwKHhKCyrjBlBdJT2HXGQl2L0CJ4DUInAGK8avVr3gDNNjwIAAWAAQDd6OKcZhsYgyLSaDS05A33JUbcLH8GphTa4pwgQAYGuqerzMQ4YycVmc8JKDChxLI0Zi43BNM25f3WCjiNFDYpZTvmrFg1q3uDTgEanC9oyCDThjLIEgA0iimXsfg8EZETIYZzEBEcKDDqChNP+4ZtFah7ACAMMq2x9i2lTTQtUSrs3EZh26wDM7IB0ylknAgA74ABGIH05VMNiMIBE9F3rWnzEE5j7bPhr4gzTI0XEeIRtYDzEygFT5ljBLgm+RU0T9RR/zKTxexKzdudbd6HcGyfqEH1hAIoGxAWfZTAHIIYX2WbLU6MqkgBbCAwpQ4qA0T8E5EJJbDpwhar6op0p+JvFFanEtJEoOkQPIvRcmgQ4znPFa5hvboqXREQBRCgoo1KNJGovU1Dud2E+6o6MeYqu+QAm95n8uhlROArtwHeM4iRjjaLFA63ybVoGwQI5CgQpUBORxiDvWDPdQ0l5w5B6zm+1rg0meJgD/6KbqvQAM2NjJoju6Tok8y+y4xmfG3o51KmmikmrcokA5ALsWCh//XYKWq1uqCoeTuOlvQSaSdkNQyOqR2JEgtLCp5rK9wgAY0J+HIoIZieXLaaG6QSa1S19VmGLO6B4eaW6sDAf7cgf0KYWA3g6nxkkhorWOIpM04lFK0hyRgVu1aF8yJUkemggVwEA2Ktu9EOE1ANrTzIoLBKMrOqQHfsPck4EDoMA+8itAEjnw/ipkolf1y2/b1RwRKCb0ZkgMxjFhgAUYkL3acoB1GJU82DJM+IxrdYas/ZYD4Cz72It4zpFirqNylSoe2kxuMKk5vWnANZf7eVdvdPFhSGCK/yCee3KHY15RKaYGAAjxEZelQfLwB64EqkZq/bbteSvVOi5JtNgxE5cxlGZc2rqxKoRi8tgIJdkI9CmVBeiUIpgJoWbGdRjNrsryfDudCgepNFAqk/hDWGy3hJAoVRME5HBkHsBc31mC/v4qI78kbrCA34kKMggfGDBd41hnR0pFV1inIV8tVkhyWn2ZQsewEfGDO+cad/qWuk22nAlK48jaqCByscQoSi/yS/+dKQaAQ7ofbCgiizaHcdqx+NYngihFbDQqPWSF2oExpFg3Z5CXfsgxZ4CkR7LXMWlumQOQK89V5bBAf2zvGJ9egYZWky4v7dgAHga3HINXITHpAf8fy3/aCAqOZVpVHnHZ1BTTtXsoSO1AyD64gtkiD2cIkaRKqAFQ5nPF9lxC8WynSQqmpqcYkg/AAwLwtmV3t7lleEhzBqehgQ2aeIq3gQcQG2liJCjuqszCwKTy4pVhjh5+4Mx9SHdQ8iFZGBT+BYJEgaCoG8zgZWzu7l5+YLg1xm41jTaW843fJ5VHCvSxNvxKDu0ugtYmSO9eWp+PTWD7DycbesNJpSyYBBjIoZQlAldx+p7d+W3ac3A/bAh3Z5Qe3UUYK48C+yaoQH3HBCza8ZOPJ0FQC/vMkZHAEbtoZbKOAo/CCrZHAZFHApcPCpuQ0B0T2t7OKdaZLlEWlzr/qAkDsIEWAmoJ9Xec1506tFLLN6KVJ0vmgOIQIXaPdmd2GRI7zXdmxyj16PiydXCkbsyilID2cwzOUu1URFflEC49nDA4o/z2dSgb8BQKWAfhInc0Gwfd30cTQgHc9L7WJwOVYqm7aq8MH0uGoABFN038woAXINIhqEA/tqLd7yrwkm8dgQxolznt2schuRy8WTcKH6krzGU8atCT1TAq4vgfT8T/iFIgkIwEJ1IgUBAoaZ6WUrk5JgWV4yQjYICOgasSZbFcngbjBKMkaI5CZRX5VB0Bpm+Dyx1A3Ph+wKHEcOfHNoTC0ueFonC0wBfAE8mTFTamVNT4aIVG0Cdj/2MD84Qy2IVFBHMqcAApGckY4EjlJ9Fi0+EigPZmmoXIlWSAcJRQGiCxJ0BB4spj24Km2QeYBdJ8jc0jMbZMyCUr8CHi9BTFFfEAM7M+A8U1kSswAyOqxFpIZOTXjDCF0FZGyiN4AlBswYNO3QwK7QSY4yIBVAclu7xR03LtyQl6T+7BEdBPyb8hAc+kgbXt0ZQ3XrT0ScgumjkH0ShksGnzyy8JsI6UiOYRjx4lKbx9oiHKQEFjeZLx2hSoEhkSCfYIw1PCnUAl4shpTSZAITtp3sqaPYs2rdq1bPs4uvpNAFx8h8xmnUXo7bB3nNa0DXAXhV9CCUIokWP2rT48ev/xADSSsm7ZCZaeTPVD8CFjuXszCXM19xhJfQCmWO6wGCtZtoXT/KoR5wi1EzHYkFPDprLlZrJsoInyuM9d3GXvPu3TRrJbkY5HZ7KMl8td6JZRRPLS6V0uzWYBBKjKOW505CMMKH/u26FoufpSUndH7aGingHqvA9vUkAz++ZkZc8dXiJoUMBUH1MERYshvxADwTWyPGXfe3DJgpgVgRQoWzz3tCYAAb9MJwd4cz1oVgIPXDKISQTQV0AzhHgRGh4mokjIgdncKElkCxLi3nsPgUOdORxucFAN0SCmY1m9uRNcfHwVRB+Q0HEnIzkE1mhPHxx6eIQMpyDW22/rlRT/TWf1wacVAPPhEWGQPt03Cn19cKCVgERgOI2GLw5YYJvQlQGQmXc91MZ9wA0h133H/cVoo44+ipZimwUEkYJ2rZYJJk+ep9YAho3nBzWLnCXpcpqyYVhJWHAqVDIGvBCGCCSZacV2WFLqGTOSnDpmahbEY1mF0mGqlklXimfOFEW9gwWuJkbjkH1vACnIeieYORSofqxUVnI7xsVrcLFQx+tdDIgQRrpheACVZpkdUYO68q4LQn4dSHQKBR0s6q2BllUbKBcmNtShDHxMwQAooTxhwwulRFAZBR4M4ZKxxgz6XFAASbKZepM1m1qCvuBhr8L57suFA4gqM3E1npkp/+pBhIjKQiR84sGBKyXfEg8MKHuTLUticgGAU2aRs2gA3oGnLYwI4IijIt/68ewTBBiMFzVhWSCCCCd6TNCxR9DpkCSrTi3ehceMcdUUFCg8kRIN36E1CuJ4XSchQWPWLK0W46yVaVnc0ca1XeQiNmDuyMLAvQvL7fAfT8Agjgf8vZkFulyL4MG6ZpnE6gJDo+WAUqHnjYcDqlAgazWFCouxwF/L9YK064WjrgddexAypL7/DrxapWaaWr/FEUvik1SmRVNBaB+x91lJ8PrcUwFLYJhL3hib2vDK58XepLpiM6aZ3kkQgVfEDavtWs2vr7jHyQgrbh4SJLBG8kAi9v93ymiw6q/20QVtb7HerDIWgGSMSjao45vHaqWeHt1HGPmBEwGwQbFv7Q8qiQvAAO6Xv4PB6QkhSwALEtAL6/CgJRfTiiyWharwOcYSwvKDfeAnsvN4YYRR8A4xTOgK7XFLOx0aDGZ08odIqOFGFTSUWYymprN1rIbLEeARjNaHG2oAajfC3uDS8kH8fWRaWfqe5IqoGo+1oVreABJLsHAlwVHEMgGRRVC8sDw8YJFNaTDiH/pCtNgJjn83IwgbMRcFOb5nGHYk2dCc1Acffg4NhwSQAKi4vS/IzJKYFNgJD1cQENQvflRKAAjHNYvWUC94rGylK8GHq3HFEjyrTF3/Gf3QSPZt4Bo3gQGXCAGBipSFZmgh26Js5Ao4Eu5TSWtXc2RIslXJSZbdY08z7qhMPEjyjy6z5SrMMoAWsKMC22zeAhF5RTdIMmDekADIGFin4Rhxj2VJQARWME2BGaYbuLxlL45Foh16BHTPcyYRDzVCzlCGHgyFQTQMAAMErYdTWnuIPAlxPrYZwQTraCjBKMCA1ABgpCMlmzmEEAlBaSV2AIqRufD0HUQ1s1IjY1ZD6QGtGbBCkpLMWTMOlEYqSdKQWzAnfTA2gRHMo6EPzYBE8TBEk5ygFK2JJXIsQasAHicBMuViF2nYFnfK0BHl0oqojqqV1w2zHOzDDUdv/wqsGYR0XPxEZ2LIwtXVGDWo8HzgRdnpEzG91aOTmytZUxM7FRX0eA9kn0GKpUnhqC0tJt3KU2SRR0vuJXmv7KxnWem9wwYQAdtMRC7+U0U2ZguGmFvKnlxbliGe5S4SvYvYyLaisZluEOdbgYUaax+rWqt3oZWhbUuBW1gUAzmrYoqKzFIoUJ0hEsJKRrLS4M1aficZ/xGrAJblHtZOIBCb9EYNaECD3k2KtH44rg9x65fkgQgf2lrBQUziru1IIgL27C9//4vCNhJrAGM4JxtOAV5EsVZLt5nM//Lpv8M044GFWpYXTvXSPiTjqSlTQgepZggId2ym3LykeI612v8j3NMPCmQEjKqbpn5GRwIikFN+WBIPGFLjSglYwRpGOrZLQKbGdgJV8wjk1WwEgGykmAMAJLCC0gqswS+DiCXM4TQ91onJvD2Gb4+BYPouOJpQigtcnnxlNhDZkWTZcYHyYybrHpgoxFCweF6gTzq/9pyNoe9JZepkFR8kAiTY5g6ptGFCrFjDX5BTopmHBgMgBrcQOUVmmfafDJPsy5/ttKdJBU1qBlBiXeM0EQXwgq6JoBTgQAEJkEGjNNY0gGNmcyUn84RUW4Bda/MwVSLEix0ywAMftAAGsByNF7BAArMTbgI93DkPNAA03WuGe1ydAHC8QRIo8EAEBhABRFH/aYep7lp5o3uc6HqABREAC2Km84IVSMDYjd5EB7zdusNA9RLeJgevlJUWgCsJ2qW2ciCoom1gaIJxg4D3CsBtgSG8sbHvghRn4WUD9ObCAOi1QW22cgJvJ+NUV0CBCCKQbxNv73+bXMAJPrACdFhtMPlxWLv144oEumIAMpCJaUMt48yeF71oOEHGPT6HfUTisi+P+ezW1+pX+3sQBTBAB2C+gog/IcH8Zre7Y6uJM7xKBE5/AhsJYg8F1OAU9xjvCZiA8pUhewb3LruHmTKFXSaZfDuU2LItkAH5YKADJxdBZSrEuBgMoAaV+XPXb65vK+SL2PPOAMemEHLIa7cL//9jdSAUDzG2dkEeqY65VzqIWR4hKuRejw3IRa6EGSwmPxtogOZD5kOTaA+VFAB949mH6odHwASieEMS6o6Oh4Ysy9sqCNZlUI/v2slweWm6zPsoeSiAINyi57zJ4+762/kdfU547KfPj36BhKbPpzZ7eQPglSfwQkqWGfN0WKV7mKKy1t6Qo/a0Bh25FWFu8hwSklWcBx3GFyCZ0hnTEYCwADUHGH9kgW6hAi1T0hQT1BlNJH9X9R5PkX9pcXGYcYHddEbUIYBjZHBohErvYWFiknuj4ygj2CIZQWG60YFPQh0kBjrGoEhf1DHUwQquACz/whTw9TFy0Ukf4SMDN/8eP9hkCqcoUvgeKQiA0IFnYBcd4wUnFcKBT3AsX2gHUCEhNYR2KrB3SuYABGMZgveBZOZEslGC3ScbbKgE1oaDxAIV5tcLcciF2YAYyRR5oZINjSVBOcgFZCOEDhZKOtiEabODW/GGc4J9zfceGJCCQcaC2zKHlaSIBIiAkQiH1LF76WeKnkUnvCJaLxE3SKQlJqAK0SELNEAwBpA0dTM1ubRyyqB/NgQtv/QHsbgKfqQmrfgEvPYds6MEL+AE2jUBxvgGqVhNpwIAEHOBBzAYkRB9ZneA38FRlrFVn9I+3GcZOtUHA2ACJehqjgEWHhYDUgZrlvFx4sFhuLR0ZxH/btByHg6Ag9gIOOORHxUiA0VIO/qAR0oDQZm1FiNIf+XQDO0oAPNIX2AokS8iTc1QgspGCOloGRKDGSujBB3AFExDYsQkYHc4CR3hhE/xEwGoQURAAxf4FF5CHQbgAX5Ejk9gjnc1Y+JEHevILKgGkgRQCkn1HgfACOfjk9ABlFjxPzWThnwHkbYIERDZe6GiGxQAeI2Vk0pgAE81ARB5AhXQDOKoBBXpQAamOpZxAlt5Ui1AkAXRO4FRUF0pFxIVj16ZNH4Scp8jTamTlW7pCQT5KvrgJwdHNfSEB9BXk/4oI4q5mBk5TRz5BB+ABR6Rl+7IIxOYBch4ip8Jmq2k/xg0Zm6MEjb6JzrfxEoo1zX6R5pkxyOq1outxJqr5g32JJvn95o+dpu1iSdQVmp+9BKqVl5eUFfp55u+U5sREJqPUpvvxwYrEJyPAm65WRbVSXZbxEWz2Zx6k5zQRZyEUZu86VUilhavKQKLFQARwDG0MJ4Qhp7q2Uq7ySPSSXYixpqmFpvT2S2qpp/nQJxSxhb5CZ6qJp9osZvCCaClCTT5qaBrQaD4qGrM6Qf35J+QgpulZp5ogZ222U7h2U72yZv9WWrc2Z0niqL9FCOMUlndkgEz4GwpKqMzOqMtSqM3iqM5qqM7yqM96qM/CqRBKqRDSqTd6T2NAmURAJ0Isf8CJlqkT/qjUDaiUEqlVWqlV4qlWaqlW8qlXeqlphgM3filY0qmZWqmZ4qmaaqma8qmbeqmObqKbyqnc0qndWqnd4qneaqne8qnfeqnfwqogSqog0qohWqoh4qoiaqoi8qojeqojwqpkSqpk0qplWqpl4qpmaqpm8qpneqpnwqqoSqqo0qqpWqqp4qqqaqqq8qqreqqrwqrsSqrs0qrtWqrt4qruaqru8qrveqrv0qr6AgDFJAK9Qisx4qsyaqsy6qpeqAUdMis0Sqt00qt1bqnWvMCNGADnmmt3eqt3wqu4fqkxiGu5Wqu54qu6WqKZLOE6uqu7wqv8XqutdABHRD/DfVar8Yqr/vKr/3qr7cqhg30rwNLsAVrsKLKbOh1CtmKXtx6sA8LsRErsY4apxNrsReLsRm7pxWrsR3rsR8Lslx6pCFLsiVrsidLoyOLsivLsi3rssGjsi8rszNLszUrajaLszmrsyQbszvrsz8LtP3as0FLtEVrtN86tJ8qoEfLtE3rtJASpqm6tE9LtVVrtX5AJzEaqlN7tV3rtV8LtmErtmNLtmVrtmeLtmmrtmvLtm3rtm8Lt3Ert3NLt3Vrt3eLt3mrt3vLt33rt38LuIEruINLuIVruIeLuImruIvLuI3ruI8LuWh7AzpAuTqwA1wbuTSKA5VLuQ+auZ+L/6yTW7k74LnAgwOniwNngbqp20qY+0pLu7q/s7pTu7qsu6Y3sAOkm364uwO2exY+5Lq+s7mcW7pqkQDHOwBkmlQwQGKGOgH00LxEmlQz8AIbWqYcIFfqJaPPy7xVir1RuKjEJ5I0OgAWwFBOJaSii7pEswOc676+uxYAkAPvSwjDW7k5ULxq0b6WOxii676jm79msb+X6wfzy7nwyxb+W7k34AcAsL/3a0QK/L+6mxYOXLl+ZMAB7Ac4cAMI3Baiq8HAo74VfL+fdroZ7DumIaY7Gi83iRb4BagtnL8wLKMy/CghOKbzZgHaG7WmqMPay2YKyUo23ErBAMRz+sMiqP8LR3yK2QKtPQrCfvDA/+vBvzvFlQu/Eky5FOwo/svFWsy5XPwXuLvFfnTFlFvFZwHGOsDARPO/F8wFa1zGamHBlNvGXLC/Icy+lgspUYx+I4wWXqzHj+LHjtIj/LejCTAGpbg9WCDEdJoSjPxaqNWd24ABkswWLXGgVEqusMTEr9TJk9RYnhXJTrqQQHenoWwWPZyi2KqtDsujhRzHN3ADBrwDtNzBY4zF8rvF2nS/AGC/d8woABDGksTBuIzL+yvMbUHMAIwH/osDvNy5bWG/OXAEosvFtpy6OLC/1nwEx4zMZMzG8RvGgyHNg6w07SvGuqwD6EzIaJwWBky51iv/wtP8KA6YiT66RkvqGOiFlnmaHPwMEf7sDSQVvMCzz2gBZHu2yVCqyq0QCexx0MHz0DzyADTwz66U0KKJyq3LShNNNCAtWVa0mDTwAda70J52F4gMxfZcv5TrzcO8v6zbzON8zTDtF/7rzkojz/x7FnnsKD1NwHMw03OwwB8M089sx0Y9z3u8zn2wv/TM1EeNxy7NFvO7A31s1Z4GyGfhvsvcHe/czhbXkZ98fikNTiFmiiL9KGz9OwOg1ik60XBdZo4iNb7j1ulX0c+xFwOQvJ+2183pKXXtOwMQXx3NzI4SvDzVwJ8V2D7KrmWR13+81XgwvDH9F8M71P6Lv0dg/8C2e8CRlAOjnQNTq77qXLqaLZy1PNppPLm9i9pcoNlx/MtX3dSyndRKk9tc8NllcdkhXNNwnM5WrcA54Ls4QNr3S9ql3QfcHNpK3bvy3NmRVNz5hNycewOl1dUBQNrHbcdzLNutLd0IydvGbb+9Wxay/BeR/DXNNAHxd2/CuZUe9gLLBw25Zgz0ajkZoBR9mTL46pX42gHVu5iOcwtoKQP12gCnh5YmEA8SYwJzwyg5+ZX0Qa8VsHaRppGJcN/LaNbTAOByIeAEzgUJfgsH7hgtcC/tYJMcaQAV+d6WETnaRDohbnX4SuJs8ACq0AF+85QlXq8vsEmMCW2eoOAPUP8TGY2P6fBQHVCRCY4abDLgd5AAJlCvPSPg80hWK4DkcsEA/0zkLHME17DgDdF7PoSOV64EPoOvEmnit+Dkk9HhBeHCKpYOOhnn/12vAY7jckKTRW5DD+4BHLsW762PdS4bqvCVfiEJLQADHlADrbjhXTLlDE4Ify7mL9IBp2AeLpzmuOBhWZ7iCiPhtNDlaNDjKf7oa0k7DQ0RKm6vIYmvCALlDSADlvAqpcBsWPA/ZgLl6tAh5EgAAq3GlY3bOoDZSH3LUz3NNc3b2N3cxFvQMN3MWW0W213V8IxRSS3cASC6bRzcOyDVRwDUbuzTl90H2I4HvU3OlsvuAVDu3P3/xrZrvxMsxj1d2zf9xjoAv7n7v8sMxmLc1bZsRBlswD0BAOL8vwi/78juDerdFs2zAZCURfdhJpThI5JkJOSygXO4jMBHHRiQOHJEJVMwhxUyAD+4gGvxiWZXlGgwh/CzdhzfFg4IHZe8SXKEWlwIJ6ey8dBBfWth89BxSBgvinv4CxGCjJlZDoOh8iq3Fu5hh0HBynBwFYeYgJAIHRLJ9FCgnTgyA0iSh/W3b23oDYcZIFh/S0P/LwtSCz4yGClfk4h9Fmg/F2hf9NFgh+uj8pLGjnBf8YvUa/eBAeL1J71j9FlPhig4yAE7ylNgjAMx9h7gQ08vsGrx2p6L7o0C/8j4/mNb7B317vCWPboCes7V3h3gDdVY7A0Z7MC527/a7vnxG++6fe67re9gzdRPnfqW69wUXO7yTMsPDAsJP/x2jMzrfr8cvMV3rMAdLO2evcDXfdsBUM20XMLPzu/D7dNOrQFkLMzPf95+EdzGLc8eDPFsYUwp0UE9R3A2gAWd4UXLiC6i4IbKYAGuEIb6OA5AIBBWAoEJjfYQnj4PpEdTLNZsr5ZwI5UWhALDx+ISEqSm7ksE6RpIWve76OiiLA/MWDrJzC1XoUpKTohOBEaIogEODoCHh6bpjgmJBkpLxobGLytPTOBjRAjjo2Mo7k6AwsPCEDVREe4oqfFrsv8yYEDNi8YCVAgh7w4FJMCsVCpXAE1JKEVqYQ2sk+wVTuIC1cZCpNcAsOiZTQu8LcACqRdl0oY84FnoK6xRvpFLCM1PoPkbOgyvyOTcoEk02AWQgUQTnBJdYGizcYecNVRoCnX5ZQSJHSEfakUpguxeF30BFtrbtqYgNS0lUXkQYSNDuACCBDCo02WakT2D+nQBNI+HFzA7cwaol0zEsnwrBTSioE2JTHM0enUYWFDCAxswvaTE9Q5MLwEX9fAh9Uflm6xIriWr5cbdoRcPxBD5qouXxX0CUGisaWEPChZpFd3QocMjHByHcxAufBhHAMM6buQ4HAXA4R1RdkBm7Gb/sebEWkLfCJBZx+ZXkxvD6QxZ8WHTADrvACBlcuTJlS87LpKb9GHEpzXfLkL7MxzWvo/X1mBZR+QArxUQh10EeuvTRZwvEl69SOjhkoVLn34ddXQp2dczNi4ePPnoyFOPDhC6cegdWibviP9auvS0Y80++Qr0LYEQBDjhl1y8KUKCXghQwDgJCJKiJANisOSAY7BQACge9JnglE0C4GCM+G5REAUVFynLRGeWIIfEVgKIUIgOi6hHJmpCbIQAjxy4w4Bf5hHAxHpGqueFwQC4aySVjAPgSRYPdANGLSYQg4wau7xDRy4MmPC0BHKJ0rcBQEHhwBqLLOIuE2tsEUUh/zYMJJKLZroDkb1OoFGME1zxzYI7qTwxRxl7bKcrN0oiAg53/ixiAiEYcGXIBe/c00ZGF6Rxjz6ZEgDSVwCoMUYIe9lgMAhbYKfQ7YqoM8YnQWHgwExP2DTTPiVa6pZcFiXs1wkrvNAoe4TMk9ISTwPAnRRCnNSIOy6NYwlDe3Wl2FZvfNVRY45TZBwsibwozmaxkBFY5mSkNtIz4hOhDTfRhQAocH6pRwUAuKAgJd8mu/K+5Nz9DTLUbHsNs89yww804VR7g2HrbHsFQEWgU88N+hquD7eENQsAOoKVE+24jT3KODzhtNOCPvMcS08D/G4rWb6XFbavuzd2cwO4nP/5S245KWjmrrf2OJbvhtdyMG5ojnFGWIfWbivaYy0qBjrpg6vla7CSYhTkWkUSZOaVshD5kYcoyhKAHYkWxVGwtFB9wx0dP/Lil7LK/npYlSTYA15PiWiEz0EF2aRGRKD2MooEBpic8soHcANHBoZR6W5gkNTp8yy37PQ2yAOQ3HINKh+N7s3doFXLYDYvq68lSt0LTXe8yVsLNd68xfLgqemc0UXLHfV2cRLdgm/c4ULLU70D8F3PIh61W4xUZzpkUFMfvyNVullgu5Hc0fLbdTcDVonsRKDOg/CC6oG0RkG3QzVE6al3XnkBvBGEAo1QyfXScjwpwM5zmvua/W7/kynt+caAeBuEi2a1Ls8Jo3hteMak6lQ95gzsFRDzmnxwMJnqVAw1T/uMCN/wPi1AJ0Aoiw3IFHEbABQIhseRIQlNeJ7xzExiOMDBa5I2GcqUUDhVm+HEfOOxmPkwCjnUWtduUxsXYkdiO9AiEaUTNB0qkYRuwBlymFgwMMoniQfamhTDuJ0UfvFiSisQCEdYDB1Vii+uExs1cASwV9BkBoEU5CAGMydvTe9TWhCf3cAnQVIpb1KLUyQoAje8YBxyj0YQAwNadao96ChTAoBBIDNAgRlccgIG6MIMutBKBsRnkZxrJPxC10gcZQGQgYQBBXYiGBKpkpWtFIC1vJW5/0My75FSiBBQatRKNAUAH6XMwC6DCSlw3G6DGjRAMAUwAwOospvJDEAEHjBKUzprH8ZrFPLIZQwqcYFayBilIClgDHcQ4VDZDJc405a9N5REeoog5zznEb41HXNvQoDBPANZCkkqk5LrowZA00bMUTEuJpzkBNuwmUhEemGU88QAUCiaFgKqJILJ4ieOwkE7b9UooMzRZzv5qYX5TbJR5RJTGxZSuA927Q0sPNhuZIO04SjMMqoRalqEukMxFvVgNoMj1IhKGSz+0DHiSaJwEkPErZ7xhVBlztEgVrEeThGr09GiGr+61S5eZ6ryUVHW3hicMxqxPEFFGQBYaEKoIf/HagajmsyoZjKV5KICk5Obnk5ajWvUTREsEWYXNJolm9oJp5Ad3h60py/lhSOTqlqnY7y0T8ZxKXafI8lkW4kBX7JWmAoUrWbTxtnUZkEiuAVFFiTL2lc2s7WudJ0x4/U70cKNUjuZwyFxBFt7Nk9R+3LuO6zpXBNFMKWN/Wz1xPSLXzkXUt3drqNUmTxY+HOf5n0ebA0KNrWIBbZEKEGIbhRRd2n3tqZVV1FGl4V5GLd43oUvayGFX4U0Qr0SHJZnIdqo0tLygY5Jaf8SvIAfsVSDjTIDaEfrLjrO8GUeTuLEULhV05gxxCrpTw5YDJ0dsBgO3/Eaa1jMm9SwOAr/eD3q1pgzxCD2jGqMCQ1hjWpY7ySNOmYFKn1cZMUWvuYGQpSylD1yVjjmGKgk601dpdBXiXGVayNOY2FhtlcthpiNIUurb97GWr3VKcHJdW9kByECC9wZzxbwgLpqhdjMIvQNxHtXQcoV2htdo5IVVS2GLNhfLdl2tTURgQg8oAo96/lGUxnIpm1R3zlbctGa/NwtPc1bS006z9rYswQ0vemONJi2g1akgqjVTHAKQHrNBUOe7WwBcmC3UTUYyFRa3QaawAAMSbFgstQ5LANn8LNtaO4BUJ1nD5Bjp9FOL/ZCXcGauuHYH5j0Mtoba0/jOtWq5qk/RJvoV8C5tt0W/xtQYuTo/xK6Ub+iNq9VQQ54m1RcpkrpTNtdr1nyeYTQbmeiCe7pcOhzvjxYt7tVnGW7plhgSQxQd9JTNeP8LONtTU2WpTpUkY8ZrzEkuZRldUU3OPU4GrgaXLvsnoMdDcVKXlqR3QDksK45zDJL4cx3DkWLjcbLVs3OaF6jxZHntY1fDCwNyRxmI9PZuWSK9DMVeY2yXfGhiqZtBGMJ6s52uNDLBgCGmWPIi1IKvQjfHq4TXo2Dcrve2WvEbks9dxO53F1lpzBOx6KuP9HkQWby6CuATXFHSs+yAdY2O4uL73CcbVKAZ7blU/JsLcWd0e2KF90hjLm7u0Hxf9K8of/ZzpyScF1dtM2koznxuXtrO/UpceHrCeP5ybPrdiztG6Tl7rUJK0qi98Tpm9LOYcevxuI1B6u7xKOdkm8MPE8kzRZzYJ+mvXiLRFzrU4suRqcT1jDg32IWW2awkn+R5qYqWgtPw2OlEZkwOKcPmEEuBZjbX83wL2pOrP1ao/+KYK+cqv+AIz0IUGFKCAKL5gBFCOd4zupGiElSLX6sZ4JeQQIUxH/EDtBoSVQcrnowT6IerdsUbh8mpUb+Rg8aIQVhIVS6J1rgLtQ6x+3qTgtyj5Fy0J9IjdTKggBG0Gt88PFUUFRcylNK8KaoofFmUIIKJ7ROKgHsSwsEIabSifP/dkRcXC4KwW15hgf0OJAvKEjWQi9VFM+P3uAJFWFO4qMsnm+fWgRmPKcE2+EORgT0aI8FFe4Nsc4O2WcMobDDokcFr0XQ/PBgjo8LaQry9uBamm/ipBD6gK4AE0776IMAjcgj9MM+xCOOVGJk9Gr8amhjBPDlDqPnEqb+xAr+ym+GdAANlSbFxOPqWgjM2g/McFHNnibM4gNqfPFQwkPN/ENpTswXqSYH5AE6CDAAoK6NxOOtPK7MQMYT7w/+zEM/KOjDmENuUsLPbmQnkicCXKdOUKB7JGAFjsu8zrFZgGLu/sYLAQwODw75jKZcmqtU3IEOpeBsHkkedsIbiOdU/2aJH98gArqHOcSLcyCtdGzpGnRr1HrhHRkSgnxBIbjngMbAI9yuuYLEDOnRCNrxG2Tw9wiDwQ5t2Upq7oaFCBeuCyONJNkxH2/Sc4riHldwcNypCBayHvXkV7THId2gGP6GSmySJQvP2/5RmcoRZuBR8ZbiNn5FBeShD+MuDCNNHY3mRkySHEthSoDy8wRAJ9uJQfbpb+pEJBmREd3FEf9wVEQFANgyCihxtXwq5OboBmxsB/oyyg4mFQFAZYzGZfhKOKCRF8uohmBOaEyFi9JiZ6JmB3CAMHfRaCLTZ44IiWxOh3JAyjQzajAu/zDTh5BMM3RDGtUsOlhOaSozPP++r8qCSMtoiD5AE424MTH5qukSw4uyEYZcKGOMSDVczCM67gYQUzau6Bt9QxBirSRyok6SoQEGIALUQE/ehgE8YAAkwAQywERY4gVWwDpNAAbmoc2gQAZ2IqbcIRUmDSy/cgVWQAaCYT5FwBW2cjpfIALw4R+NgyUOQAEioC0gaxGJTzzJMwJW4dsk7BBcQgTikx3nsz75Yj5XoAGy5AMrUrUStDwNIc5Q6kHhU5naggFIIAGKQZx2sJl05FdSgQUkoD9da3O20kFrIgY0oAbaYtEcQB4OIAEq9BCbiSLwEycVrrlOwANitAZaAANkC9h86m2KdLgutEJRYAUiwEj/vY06rfMKfs1SYmAAdrQLzq4lSPS4YFRGrwBKs2UATACcnLIj7aEBEuA6mTJAB7RAW8UtD67x5CFJl3RNnxQdz6BO7zQlRgcpJq17ImA+71QAPOBCh+FXUABFVZR+snIFIQglZVIRKhVF46K6OGxSFkJOo6ZAvMqtvGZjNC7MtooxzSg1NM8wqU4KWKaGRNNU/q+tiKzj8K9VJcY+viwxXSP+msj+tAo8tCqJuu/JYPWvTm48dMxVpQ9WnfU1VzUAM/MzhAMOnhGNvso8Ou6rDqQ5b/QAXKh+IsJ3JqsgQkmYYgQfJot+TkGYDIAkRU24mOfWYmswilLyTgcZ7tUS/1FvYNdgUxYRH+OCXkcIuCzFdRh2siggAmxrQynyuoKrC0L0DlNrX+OgX3FCDq1Fj96BLJSrlfB1cwB2JX1EHux1skxkQ1nLHj2llUqFZaHra8LpY3O2Zo9iY5nnRyzqRvAlRH6nLMhHHh+2JtIHZVsJg5Zysk61aGHrIswEZrsgYfGRRIDCZ7OzEyZLtqqWtQJmXsUFj2DLACCFJoRJ6xR2Ux0DYN1gbrMQtrRug37BVPVWZ0WsNcdVVavVXS5TcO3KZQ5EP2JVF63RrhT352SxYzzTaFoVNhf3WGX1cDsmWCs3Ymx1rACQiBLDx5IoORUBByjXPoI1NcyjqlYzPP9UtXRfVTNcxIusIzoYo0AgZje8Sug6Iwe8CuOEaGqYYyrNS/i0wATCVgg6gCEnYMBmIHlkQHm76QVoJBjgi3kFapSWi11gyw5RpHAI7k1X6RNqAiPTIgHOtg3lrN6Irwikd7KqN+EigBUIaU69d3Q6RAj5TgrgN2XlN/8UsgPslbYc4GkPYDRoR0XqISck4GxrYs9aEN/0kn14FBUAIwctmACUoHCoJEVRth8Xj1EKx4HFNoIRJXxFuAhSlJuaQh6mk7UG8R+eNnvjQHlPAIMfKAJGgIDHZx4eOBUIbxCuYH3dxQRgFgNq+HTOFgWqxy2JD3wnGCseGAZOuAxQNon/MfKDb5aWwCsQLDgZEiPyRC3CVFKFIWkGHWB6BVTWemrdKJgwdCwXE27KVKKOeRCP8ziEXLPupoxW/ViPA/mO8XiQTVeIqKGQO+Y++DiQL5CRpY5KHpkXD0NpeaCRb0FLI/R8IWTSIrSSGyECsMS2Mjk+L9lrunMwrjCPRkgCOrmURyiTRSCUebAYpaSW6y6WZ9mU7zCWNxkcXXmO5xdNFcE6GXWXPdCVffmYqeFJSPl8SfmWWTmZBWqYebCYNbkaXHmZ1UIE5MGXrxlDt1kKelmcj5mcyznIPBed15md29md3xme43mEzvUaSdNw1VmeA1nQ8hn1wC0YapGfA1qg/weaoAvaoA8aoRNaoReaoRvaocWZVh9aoteZnmvVnicaj/dZoK2BCVaA1YIWo0NapEeapEvapE8apVNapVeapVtajyta6lz6YDQ6oJvLbYNZpnNap3eap3vap38aqINaqFkapl/xon+apvl5AB6AlcApiIcaqqNaqqeaqqvaqq8aq7Naq/k5AWRUl7carMNarMearMvarM8ardNardeardvard8aruNaruearuvaru8ar/Nar/ear/var/8asANbsAebsAvbsA8bsRNbsRebsRvbsR8bsiNbsiebsivbsi8bszNbszebszvbsz8btENbtEebtEvbtE8btVG6Bs7C3P9S27VfG7ZjW7bjugbq99NmG7dzW7d3m7d/urdqwgh7W7iHm7iL27jluSQoQAQeK7iP27mfG7qjW7YjoAOq+wVqkbqtm4IcgAE2RPCkG7zDW7zHe7NZYmz3qWn56PTIm73b273fe7ABgCVaO9JW2QPXG77zW7/3m7/Ver5H0LyD+7v7m8AL3MAP3Lcpa5Pn23Xs7rYRHMIjXMInfKIlgAUSIAH4KEYzXL2Bm8I/HMRDXMRPesBH3MRPHMVT3J1LXMVb3MVfHMZ9g8VjnMZr3MbF24BnAAboO8dnoAg7XKNuXMiHnMiNm8Gxzr6JmUUAusib3MmfXLT/G8lbmwqQ4B0ukMAGNgXKt5zLu7yypXwj7dcNrcvLy9zMzxyxaYLHudeRWKuM0RzO41zO2ToIAAAh+QQFOwA8ACwMABEAvQR7AQAG/8CAcEgsGo/IpBIpEVk8osZySjUCqolENXnder9g6qQzO2wnI1gl7B0kNMbs0J2tw4/ZOxtpgnUaXXuCg4SFXyYZKCSGjI2OXhwUDIuPlWCBlpmam1UTLRQZMJOchGhlpEcDFmmgZkd9f6iyRWNqs7e4uZUmMwK+vhQIukoFvmvDQhIWFpSoNU96RBMYAhtn1NaZEy4CDCxEJb7ZC7/lHStF4RjZjQUYBs1hyszI9V7F8Pb6jvjx+/8AdT3zEE2QA2q/8tmTAe3ItGq5BkAoB/EIOQz+LM3LGIYhwSnTMBAISLJkJgkTBfQqd8yKrgkZukmpF05AS04SLnQD4TAmO/+Q2DRtE4Di25Ca4yiWcyUE6aMCBmYI21Pzpkl95BRe3ZokK0euYMNSybmzkERfDD7QsDETWU4DDHgagVnxloNfL9Z6QOLOwNRNVQm9jQuS20+xiBMLaYG3QZMRNpFgagRgchFyApgiC4xKAmQUcmlRe7FFAg0aMYRyKwpOnJBiAggsa7FSgIqjrh3JoPHBKBvOinF5DQ52OHFklo8v8Uw0tCDmoAF6NhB9blBcwJPs7k0qO5vp1ZWYRq28/KzkDn9ZlfG1yhXL6EHGpNB+SmVD3pfcZzPgswKHhgkxwAAFDRKfEnSFF4BTAWDWEl11MUhSfuZZYhyBFe6T1VQDFnL/YIZEfGhef0T9V0pMIwE0QAglOnTdgAVawoEvtxEi4hYUfrFiiyD2aFIgmKUo3gMICQADCZjI0EEHEXTwSwfNSNBCBy/4JsQYHWhGxIx1BaAkk076AmURETwAwy8zdJCaETUw9uQBRg2wwJLcCEDBkkuuOYQnRb7Q1hYO4OmLAXhSaeJQB9QAmQAGVFmEkjZEqiYSTZYDA5xfPORNaxU5yCkBd0g4iJSRRurno0s20AJCMOgpJ52++IGnnkJEsKgvB5joxZe0CmHCklE+UA4KfwnxZTy/njqElB14wCdae21BDgUihElURlKq4ckvFEQrhAO3GpDrlUtateeS3tZg/62RHlhp7JnAeEvElw3IoBOjyi6BpbnkNtugACes8EAvBrR6hAzw2imvl6m6aWSvVKg7aRG/jpkMbU/Syqy8ntjChgUJz/CCPw4kLK6uAWTrQQ0JOzoEvcL6ggLEXibcLRLPivlRoEsOWugLKFPxJbx34hmPBET+QuzBqcoQky/5TsGztT8fyk2i8Dbqbs3cLlwFsx0g1IENS2pGaqlRLzulB1J2TYS65mAawAAV18lAoTQnMfWTeAI979iSrocnNSjYCvWfXMfrIy43VsJcZAjeS9FNsCl1wlSP1zgEl4clo9MJ8VROEejLSk6RllxS5JfnRSqVwtt1lnO5EI3XpP8UWnINdTuoRODzi5BDAJA6RcWKEdOmuHVqDBF3lbVgbpKdMeigiwQiOkVrknW7L69vfjsKiE9RE+/LcqPQBKb/Im8/vTMaz0MwxI57ADdiptTq0oiZPmEBmHA7A1J4CPCYdx0OtO4XxULJ7V5QEHysa3lAiQ0SDgIR+ylFYymhyAb0cL1y5C0J44uGBGJyvvRBMAAP+UkKw4CG2/3Ef0oB356K1DryBaCDg8KgCwsCQ6UIw3b/cw4VcPiLZqDvduZyoFL4hQQgKoV/ulOKDRWolA1manvQQyE1DEA9h/QCBk/7Bf+GlxDM3ep23auCEynCv9dosAiVOyD0qEgRGy7/jhT7mQVMDKCVVGTwAxa4F/5uWA4PWOBprHlel5gzyC1l8V+DOsAhZWYUslDgBU5ImOYghAIoJO0vFjjNojpwmtMYESEUWMbTAOiFCZwmZgYoJQ0+gsJyyMZamvNSpNzUOU6KQAQPiEnxIpjIpuTGU96L0CP3gLS16CQfQEoIIJ8mpFDSYFEokGUzmkcUC8RMgl4gyyABwKCzMAqQixqkcYSwThSGUQAdeICT2jgFC35ABPdi5Z7kR8qwEYabKPDm71KmE3oOAYZrGKEvZCMCGsQkHg7DpMPS6EZuveAB3GBiEchiUF8tz34GmOZCiRBREUx0CJUL6STBWZpnFquc/ymJ5SoQeKXrXMkwjVsWi6DmBMiwA6ACHelNlWYBNxlAc/ZcKfAqJ9FfUNR2qRSBDVwwO1fSIGkhPY0NaLmFGpzGTdk8zQdmYk4BoJOm7bPowCAnhlf64gRqOQ0toxhQh/2FqSZ16hcSYAK1PC0veiEC0iIVE9LNhZ808CdPFEoUT3IDlKIUkzZb6VaAxXWW0ZDBLh+JGRQkrRsWIJxRSnrSOyJnE5oKnzS2yKGUsAMz+INQjehCnyFQEAUFEmfxYDsV2Q7BAr3i3AxZOjcRbC1HKfHb3FJC0S2QCAVBqyn0MNPcK/nEOsQdgAiEWATLPKSYikwK5PiqnuR1jhDthP+kYSeAFsTlCDbko2AjqYAZpphztqwVQgJcO4R2tvMhAPvLBLhKPyXwNhlPW0MXIDS7K30EvneQrzDYZwR8CIMuwNOub5pnAD1RkAJ/st8GdEWPIbrvCBZWLyUeAuJvvdXDwJgJZtbb3i/Udw4pwS+jWpubFQ53Azk1JsBoJQOmJDfCW1wxQl7Lvf6+Vcky+RY1TuBhaujzcQTQlZTisSPoUuFDPhbNjgXEXyLYT7kBKHEb/NMT6MGme82bQZWjHIb0WuTE2A3wnj4iQCJo2Ag5agOLvKyvAJmZUbfBR6LtJIXmUdm281GtaUH03a05skuakgtmXujmJleUX+Mzwqb/iQDD8/54uANs4gmlEWlWxyZGy/mMpWnbFgqeN8yoPhFRrMQg+83g17/TlagMkd4bD2Ei86WQQg376UxZOXfPFoJwh8s//+LZuqsGw6jNu9psI/jahIwMQt15CuYQps9JePNlaHRoHoFh3BP4tRmgwxNjC2EiDaZuF64AmxrZOwDIHqa+oq1F501buue2acFNnYQE7LS6yyJh6CA4lBZLuS7/DnhFm4sZFVyheRZPgrktDQa6nPfgBafnRQj9HFm7iNG2PaannWwbNthZ1OAeLlvFzHBOabQ0Li90l/6Vj+HMaHXUhSO7J21auiCPL6tmJCWQOdSfLhQOCg35shY1/0xkXsHHV0BaBn6dMHYAuJMRgLUi+cXNX7udApQEw8jbXMyHaAnbvUQI2tWur+PxWuYuTMcyQ1TnnFOdkMwWMr++65xhT+G+0sYVSqMOGYVYu4+pFcTh0Y1w1Wrq7wIgTfPMUBPo+hjADPBA2o0QUxi8vU43STobbK3Iovj48OQwbEwzQIFfjx2Chy9G4qkA+QBwiSmwuYnU3Ynp64YTMieQdMHBy6BKD5cpuAcYJTLoercnWMh3NwJ0SJ4p5yt958unOcTlHnQx1935Gey9971dhZuve/jY1mfwsG0kEUQgusnzc1/TfkkwFIcxHOwTDvnAffLXe/THdBWSeZKxIf+CVXlTN2aodgfL53iKZEfshIHSRT4W9EaTRxGKcAQUskYUQQHkJ3IEWGCct3Avd14dZDGtJFqcIl4wECl1kngcSDs2Z3ggSEirEwgUYnKCN3RU4BTMwWwUuHV4lnvx8F+EA4DSsnQIFxrfBYC4Fl4EJUGwATrN0xLXQx1Rkk7bE3tYKHc6MRKwRQJj+IGNlHvC8DhYdAwpNnnztYSu0YTN8ITJYIEyeGrhpBPgRQvmJ2TZEIMGqIfFQoF2mIaKNwXjVwhdKIcJJIg0J4ADuGsAQlwrFIlIFIR9hAQ3t4XpFkMcEWhA54lCd4An5j/5oIAkIIpLBIF3RBd7WGAAIIX/FRiF2pc/nngFxxcAO5VL9GNO/OKLMeeJ3AQDFvBLMXMYJiA/iAZoy5NHtecEywAF3SgPkPF03aZChsZzfPBO19hKMUF9noZM5sRyP6h513YFl+cP+QEAXRiPIqcTINY8wMOMgYhnFCaH71OOXGBgQ9g84QF2tGCQXngW0Sc5FcAlxYIIqlMjj3NPhrQMHDmFwcgfEwFAtzKRvjAV9ZgyiwJI3ugEhnSBfWR/4sGPDeCPh5Z4EsAi+YBrjaiOrjiD6cBFi5iIO0l0Hkk6jyNJHPkETkAJXMKJlVgKCldg7XST4AaQLdcN7vJ1BhmKKcmN3biUpFgfblSK0tVz/WON/0eFjTv3HS/ok4c2iydGi9oDSF7ZkbhoI9KxUxrVi5QHjDuHhMNVOGdyiAGgkAC4eT7Bb5K3J4m4LBHgMB5IIc1jll/wlOZIiPsHmEzwmL+jdt6FgwHYbFfyTJqjj2GpdC+Zc/dofdwGBsmXfO2mfJVnkkNIhUpoY6uGYXqgme4HetnAJRZgJ4zxAoyhdcnAmVcXAA73kUsAk1QwIycQWjAwnBNhcZcnDMuJf+uWmmRJX8aQfeg3m8xHjrcpHuEofaypiGUpDeV4ktkpljWxfr9ImCwUlR8YnnrmZN25BV1gmeyJaUGxnPu5B85JkJ9ImSmDnK+WhJxIiW2JXbAIl/8SSgL7xZx3iYtBQj+Y0AX/xmIytpjqmVbwAnEpwUT/1mt4dgX6eFtCNHoF1m30yQYVWlsQ+p+3Zp+8aFsEdwSWYW7OMW6QdBNcQmimWXil2E4D6WKZ0WZaJ3vOZiS90KQgWnAWBxwJoIlVNwgnmkWXiG1SKgBw5gu9sAF3YQDckGrMMz/h1qBeEWRFEGfVUKZnqoceqRCwiZDcKZY4EyvcoH+QpBlDwUpkUUyOdyCZU4DU0GL3IXsMOZTXKZogJDNWOATvaYk42qGJGmI59wVdUKk1ypgVcafu8SFWaYr52ZDlOUE7qqTht1csop2XqZ+LQIvPkw+iugR90AoXygn/8CEI7DVzQlBiNRF9ySSCNbZcwFqY5UCj3dZR96lP5tQ9gPg47JAAM9GfxyNEvAmFYGoEEcBdVQAbAsebQzmOcYA4CqUglHgvmrOckHOrEHIMRaptFkqUb+kPQ4Gm7ppG2oOMVVBWQ1cTINYFXEI+NcEU8lWQqVp/MUZmwNqlyrko/Po0sxVGFSABscMU1oqIzSFk6ioB6HCvvmqxElAkaXSSiqR/YRey9iqrYQCwhwFygBB5C0oWhmVOlDkZQ/onIKtfI0AN/MqueGejLlu0NeGnKMSyjGUV37qdU6GN5XebR9sWBRsNBXqFu1iuPlZ6iDMBLEuvA+pkDYaqDLex/4K1jtpKDWhKrwLwtAXYmMNBq3IrM+j6tRW1sLtqEky1AhEwU92jPZNAXidUOQRQi25icfehPcRVgvJpP4pARRYHGwywAgMQAWWHGyjgf5W7U0AmZqH3S9uVPKFHuX2rE/LZnPHySyxLroYGACC7AisgA72AArC7AjMRDpkbAZW7KAi6boyiehGQEoZ1q5DkZQL7ATagVTagFtJHKbAbvL7gAbVbb1WZcxCCSb8UGiWAELkSAfcSo+JTRhuVTysguGzFYQcwADKQEArbu12hNIb7ZK7GcLbTvd9rFO66OhlUmvCkeps7R/fSLSwgAZypIFerBPkrDPtLpyKLkm/VLv9NwBjVVr1hqwS2M1+AW749dAzvuAJ05L6MyUXdMgDKkAHZQE6/ACfeG3eDOLQGWrSPcwIQ/JgY0EapM1aVCwHzhRndorp7sK2eIzMUaj9WccDeqTA+7MLr6cAAM8Or4qzeuZ8R8LwpIb2wq4WN2RodoLkRwLlz8VegC65H3MMi8LWvG7syw7e2+y+kM7f58DgCHMF0RnN4m7e8ulcZRBFpxE11pCtEtJY0C8ge+r7lwEUzByGB1xSG7EModos0t8jltX+dcED6pJM29cdYqUhoMihuax/Mh0YlaBW+pYK/MLZiIEeMsjx5iIlG4DCRrJx57EHMhEjRxce2pGU7dT//xQKxW/DHx7BgOKpfsSymtNJZ3yCwbUHKbetqt0MBzrHKQeiJMBRy0AyIUWSCclHNQxhOtGwEtuwLIiFsWATCOpoQhlytw8woemLJdaHNg4TIbNQWdFTIxQNgSiPGEWRqFCRFQZOkvkrJ0IZp0APP5QDFUwDNw3VAW/QgwazJjFxhjlxy1thGmOzMKaaAP4SBBH3P51fHdnyQuWACB3SCtpU+B2C1AEMDreM1Soq04daqcvgBhWwVDuACRRKd5lcySgEDAqecvMASj4KOjRIPQdYktZFIrFsXZGSC/6HTFMHT3xHLJ6CGgDxq3yw7esrMkgidRZkRfPVON5EArmwn/z29BSVKKSZdEEf0O8KSeOVaeCeg0kViLkBMBAkwgsGQhK6Ait+SMEojDJjQNgJQJKl3f1nNo+CHbSxnlVYp2L+AATDgLVxdk4ctyQCXrEOwwuVgRaQmOxbgkGdwRqt210/9PkJpU5Mttkcz1uxiBD30JOFjuUWirmeQxZnNDUVy0jgHq+5BBLYy27kjlIno2L8Q2WwgPPU6VHeImS/6LQ9kJD3NV7UByFtgucPiGyPI1JMdDm3MnMQdKwujuA360QGRABEAuiR33r8UPlLYBNkrGSjnpc3bD+4dukeg3iGbHOYNuu3ROACg3v5nI26qH/Gx3+stGKBrt+SdMgkuGP+FVR8ALmmVe+CCEGT1jc9f0+CCYOBRIB4J3ryGMODLkeAYzgjLBuGgK2nuvQJ8F04aLn4vjhMfngQT/t77EOHEUd9rnBgcXtk5TuIv524LvqsHzFjDZEAYANMvPORM3uRHEN9OHuVgAeVSXuVWfuWNYDv+iuUg4pwJ4AT3gqavW+JGzOVmHhznbVdnvua6kOa/sOVsHudyfuUp4YFzThwI7bnb/AV5fud+vhWiQ85/fhUibg+BPuiInuh5q8NpqeiX4N+e3NulSjtf9zQT87ItqwlQC9IBsenBISKejtgeAumMQI9vhWZA+K8hTuohbh+FPmmszumezMOozp+2fh7/t97qJAEAA9Db59HrBO7rSvDqAAHqNwLsjk4cvC7sSoDsNuLsw04FLS4gpQ7tsi4Z1r4Jy84I2S7quj7s3e4Sj2cf4d5dlEF8t7DtHuLs8QHq5U54kW4I757q3z7sx87s2I7uX4YL807vXNDvzU0IAH8j0+7v117hX9bvoV4EA0/o5G4fBZ/sEg+BxD7kAF8h/d7wt3Dx9a4fiB7reJnuu1rx9kDy9cDx8j7xKp8JKL8ELd/s/H7lL0/j0q7q3G4SET/zghDxNp/yN3+XAM/z+j4LOs8JRW8E8370SH/lQj/uU9D0Pr/yUj/1VF/1Vn/1WJ/1Wr/1XN/1Xv/1YB/2/2I/9mRf9mZ/9mif9mq/9mzf9m7/9nAf93I/93Rf93Z/93if93q/93xfCAr4a+tQ6iABAx4DEBNA+OM9FyNAAa1q8vqABhlQ630/+ZRf+ZbP5gMB9WHgRIL+z4EfEG/9Ng3xqSWR+b6qppef+qq/+qyPi4Na4obg3qWmRw0d744Q+kHs0uNpEhwF+wgCmq0v9gsf/MRf/HZ8pR0rC3V9Eg9AHsetEc2fN/Q2g47vCK8/sj3pCNVv/Nw/9tu/B98f9+E/9V02qdFen3g7/rs+BcjPckQ7NxiyD89l/sTUgset/p/e/YoxGfgPBAHhkFg0HpFJ5ZLZdAYAT+mUWrVesf9ZLTW6HXa9YTESPDZrHR21gK1WvxREyQMjqHcQ3+okI9gkHS7Y2A7iikwGYTxMOl4aiGQ6bGzUPIwiOxpa6gRgYqYYHZEYO0iEIicpK4rS1gQM3BoNJ1wEDmpGBl9YnrokRDYHKT5AqFph2GDd4OTo7ARQTIkm6lB4T98eh2SQ2SgsIdU0OVE+iwZIO2LKztrd3+Hj5eed2Onvmezx9/ml9PsBBhQ4kGDBLCUGJWSDgUExIRMELRy06go1P6MUsmGgLcCAFhmTSRNSIOGMP0VIgjRgzglJA3mOQHglLeXCk0MQgtTokJZOAhrqCcn5TJhIJ0NBbhwCESS4h7UYXEP/xMapBJkZNwAdCXKGAJZCJEQUQNFgWbNn4f2jpxZtW7dvk7CFO5duXbsAJzz48CDZBxp/PWgdcFXABwu52MDMZ8TiTSIOBqGw4EwAAZy6RBA2YLSGDRofDTjeyuaE4VqVpeQkCwWsIBQOO9v4eFFIlAl/+Qoo/ZdG4KeDCFjokEyFP4SwPoh4cNqylNs0nBnwC1gwYcOIBRT/3TDA1LFEZgt4oXxQiiE1S1tgXkQC9tV34cdvIlc+XPpv79fXv39Jfv7/AbRigBCgMaQIi14SIoGrXgjqwDpEE+Kqn4RwoKsE2yPkvJCO6CnCBUiTxiIKOGJiAjYiDKAxxiBEYoBc/1DQ6kEUNxTAPOcsKJEP3Yx64sUCO6wjwY4YXKoaDThgY4bVHKjjBJaaFIBEIUCUUsQ6lBoiQzveC9BLIvybJ8z/ALhvzP6+5KKKM9MEk00y5XmzzTnhydCaI5Kk7aFqSnSujwgl6OMEo2ZbZccsVRSyx98+1HAImU5QjImwoOFlAQOmVI2xWlIMwE6HDhSUI8j0tCIKECOtws5risjTMYtQ0AbW3Ax4L6Uba9SuygOIkGkzORDDoMsv5TyrWDrFRNbBK47txR9lA2oW2rQClFZaM1Y9IqXVMvx1jxYPhIrVAHL6g1THul000VKpZGM1VNVNAtIGtlwFxCGn4RSJ9v8wuJOxPvxVsQ9epxhAhA5mSLgrHlWFcdwauc3F2x0TwvXRRBRO2N12vxsC3iISiGCABmSc1uST8UNZ5XeuXdnll5HN1oh78/BFYkmdAzdfdssll0YtJVZ3xSJoJuLeeJFI0gAVLPJjMAEQXUrfI2Sesbk92TVRLIUGPbNqo1+RNF2sEwrYU+xUoqhoj8OG2e23AWyZTrndoRtu+Ma0+263vmZ7UDkI9JaKHSP0sIieewZ6pg7/nHlxtgVvgtQKhkJhAmRSHNqIvrF+tXEfCXvBAgtEiAiBAajg12zIjcrw73UVIhgsxA4g3fbRPZDmaLAj39v3340FXvjhib9b7zD/+j51Y8XxnUJzIyslAvGfZ398xkYj3/2JQP2Q6QUYTrCgK4uhAIDwfR0OstTnTeyDAqM+Tj19xzuufkiLBiU1uyESIPB1MrTXrt4Vj4AFNOA9ynRABS6QgUdYEMPoJ7t1TWkPADPQb0gEhiqZB1agQpDQdMY63iHtCE8TQFcQQKBuaEcP7OMfpHpkm6l1LmelGhsV+gdBojnqIe6TFcAs5Q2OVGlYIzTiEAajsCLS5XgN3FsTnRhFKU5xeC7BmVA0wpE8UageYEhALv6noKuQhXtLO9vyAlClAQqMNhq0Xhrf2IQqSakBeaIj47K2oeZJzQ8JXFenkEANA1ytOxyq/8LaDifEIWwRKOarBi+2xMWcRM1TKxDhJVszEflAsS3sYBMn0SQmaxUQlM8CiB+piLJSpjIeVTqBB0QgAktmEhokkIB3ltiElDBABBbwgDaGUogIRMRfdnxBBMIjOAmsgJky6AoKVhBLbQQQjmtUwlDMxQkuVrKZbIBmBFbQJ1fCUpbQe9UMm9C0A7BAAnO0JhOq9I1YztJTxCRBAuZIFotEpYeO2tI32IlMqDnkUtl745bqx0qFLpShDXXoQ/HRBTA0bRCIilJGCHBB1oQSdpoMwANBwkKQZgRfJOGEARTCTyuCLYzp7MN3KGULIqSEEykFVUd3QkNzTmGOJL2iE/8oFhlQ6U8hGYXea4Ywlfu9NCNZQmQ1xeYeiE6Vqk+s6lXTtEos0AeVX5BobQIQgQ7U1GyBiF3JwKqHJUwAbWRJAF9O+r5zmIATM/hALhDV04ygIA5JCmP8npDDE0yTDSyEo06ARIQIoM1f51vK5zYal4+Ghw0v+EhLuyjWso3LrAk5QMl2xNdeseFqEqBsHRTRBb/CT4cfJRAao4XVqmqVqlCkrWxx+zK1RCCWIuiTO34xzyQMIAEJ+CiMbjrF4PrWC/fhrTS1sNxw5pa6vbjtPq5b3eZGMbvala1xH1MNjXqXvOU173nRm14DdvVuYRnGCiJAV9iql77bre998Zv/X/22o7t8Qxtw0LpfAQ+YwAU28IGnwA7UhWHBi3Hwg+MShQE8oBukAQd7JcvRiOaDqwj28IdBHGIR8yfAR8CwiefD1QZ/VAIRiACYVqyE+8Q4w2uhcQlHnGMd75jHPSbIjY2Qn+teF8g/9vGRkZxkJau3yO5oMhFKDI8nF6wJUTbClM1g5SVvmctd9vKXwRxmMY+ZzGU285nRnGY1r5nNbXbzm+EcZznPmc51tvOdVeml/uKZz33285/dsue3cIACDCChfIrLhOLKyConTJhcCVICDMzAAAbAgAQXOQND8ye4FljBeBUUgdExFwm8JR0Jecvb5CohATQegKlFcGgt/5gABhT4SluKC94rPFcEqx6CqEn32ysvmmq9jCWofz3qFUT5F6QjNRJzHe1c80/a0tayE6a9OWOLYLwm0LSsQxZLT1u52Z5GNhGKe+NOP3spCMO0A6udaPaIm91CIG61WUDsDrUgAzCAwaarEAEPBDu6vfTAp7PAa1+fQ9+qovdv7x3vBAS42bI8t8KVIGpYLlsJ9752FiQ+cSJEPN4gM/XBA0zyamubdAg3Ua2d8mtyClsMgj7LSplQA19qWQKjk7U7tqUEWF0jpsn4KT+QkseUHP0dPbfAz4X+XwPEXAjyTQgB+gSRk0Ljt1ZZ2CtujYRCaYkyg8jEEXTumysE/f8tOanVERbrzYeBBQJfXwljtlbLJGxpdQu4UDKo/hCJDeLuh8DoLE6jE4rUBCSri3v0runRpCrEAJhOCQmZQvnAs5Uorwi89CTfnZoCxyguPNzoB/E/75TNKIxv6qqJGsd05j1WVuC8Qj7fhEYTPuxyIObcmbB60s8UsdDw4H8FEPjdD6L3tz9p788IeWwhn3oUpXzHLkfSmPcEsasxAUoJ/24WYeBVeadkzYVHTfQNNPIJvcehaM4x2RkslkGLk4lgOZUUoYrp7tBURZgqdojAjriGI5rm6+5IS/Juvv4lAX0mKR6GUrjjCojoLbjP/Wpga1annkBiNZpm9CjIcfj/hPhAAtMmAAFD77AUovZUpPg6xvVWkFVqIAA3cBqYajVgkA0sRv0OBLHOSSfET0USDwd14n8cKwmSLiEUQ69STyRyMDIexoSG4S/iL5DqAPVC8AmCSgCnoOgSYolAZASn4AkFwAmLj5+EEAh9rwPDhQ2PYI5YcPoyoitu4gSLjyKsz7Ogp/tqJCOCcKfIRiGykInUqi54cHPwauGwyP3oYVeEzoe0RfYE4gjBRgD6D8UOggGlYI4CY/dep2mwbgBkgBNOQgpjYABmkHoCICWeRKBaK4JA7xvgi1beI0Mm0Aoq0C0II6GScAPVKAYi4CpexxRR8aVShKgCRn9eAARM/ytEFHAQPMDF6GA1hoIA4Csz/OWWeOMvJsMZw2obuTEibiIJ0RAJdpEslJEZZ+N/XALzXKADDuAasYOFxkkDPFFdznGmDOAFojECKIOLTA/0BKADuBEwOKIA9lEEpBHAhCACwJEGLEAcEZH9qsCEGOAUUzGPlqAeGw0DIO0JXAkY11FdLkr6QDIhXczquMghwVE9qIcjhdEMdQMYh0OHYmrqXMwCMmBYkBH4tiBD7AoieYMlnA4cc+MT++0D4Ovx9sdTLOAhcwPS0rEZXzFUaMOETmAFilEV+asr7WJtBgDIviixkOD/suDEkmBHPhJPeGiH3imy6MH0wBLLtsAs5f8HjboFJkglYHKiORBEMUiFgrhHWMiGfGzQSh7jA0pmjEAGRs5NjjSxIJKOGjVCBPAqAl8KDznhRvAHMOtgEBFK+lLCMW7lMhBz/WQqNbiyMdtmESmgdKDGJwMg9shiNEfLRi6JLk2IIuqFea5oMpdgkngCXFrtCOxScnIKCcbSEjenDwjJeYTEMx1Q916LjG5GCrgH+zZzc15L7urymRRxLIekN+0HJrITD0/DKXJiLfelO2OzHezkMY2TtDqOMZGQPkeDNHXQCIrzj7AGX0jl/OrD5pQAVVYgN6ABStwgGWKBGdBBDU4DBiRBDVgCE4LR7NRFrN5APgPAVZSAezD/S4DiZQ6+Dg+CLAAsoMKGQSR6DmGEgRisMI8MlDI8YXPKDgWuCABqYKwiwwMc4kE74KUYQA0o4daAVB3YAzEkJRf7Eqz2qRgs4jmvQjv2UivmaJtapS2RgO1aoSaVYUOb4Qo7AWdy0VNaoANqdCmC4RVEQUvO1ANqoBv2UTYnRRAIIDeYhAEsQQIIZHWqVAjsiEKitAh8xbA69BV08j23woyGgFS4yD6RYC85FN2qs/1Eq0Iu8oxq0FMABk9rRFIc1UpnkjCigQkSZ0uWdL4ohQDG7kMDByYsQnQu5BsSiRGX4IaOQFK3QQ264QRiYVESVUle4EpQY7QYNaworKaQ/1RxmJNtGDFFB2EGhrVCvEkrAhWt8iRRzcYfKwwWoA9wEuM+EyumUrVj/vRQq1VCIjNLDUBbx4VbCW9ZD2RNxaNEOIfVKrX9ACmH6iclDCtU2w04amBqBvU2DZUbhCH3nIgMzSEJE4I7vDAjcOUJU6VWKXLvBCFEF2k19UhoFjD5DmQEwO/rxlEn2LOf9g+xviLzFOI9CJDwpCFiFYJ82gP83iOHhgQATEgv8RMKoqQ5JI1d2M4RO2oQwUJQDo0a6oAiHLaiPOhjYy4XtwRRBjYjKrYFfeLjtjQxyjRJTXIVHYWiMoUr2Q5rCOBQiA6MSg9LeIEpNuLVIuC38sQ8Wv8sAj4uSgS0RgyzespxhyxRatX2MNGQCY1uCUrzuMLV3q4CZ5auazukFihoC69ORlSjxapQcOPvcEdDJ0qP+k4icZyVNz82NV0rcYnEdFXEc+UvELMwSu0wYLLTD9fKGxRRc3MIA1joaYaEaE9EGB7hUEAAbmmuMYbuGUuwCKqWaxTDFhvAxbS2d/N2CGZjb7EmS3B1XfylJBXic8kWL3dxELKCldzJMF7KL3GjL3hD7SzAMxCDIHlDJNypdl5qdYaib9lSIzNpj44IrExIACASO5YXO0TnMPQEITCgA5LjH9UnZV+hMIL1akzIAP63cI/Wm0bnAfpAMdaXBhADBbb/sUcQqkvyJEumwnoz8yEigmntQDSINuiWk4IND3/7qTK04jloZTp6ozr6goBb87BWIabisGkkI1gjl6kkgzDy4IHALyHA73/OBWxt9Yzs14XdM0FAd3UV94RIoHez0f4e64569wW8LTJaT0oOpoGl9TGJNpCQdv1q8InZjk9bC38Iqy9E4DTyFp8GQTHyhAVLuETgeF3DqhuuhqJQABiSgSySkFYzDjGe8zDDqAb+YjY8mDc4AqHGA1q5l13uhWAohQL40TL3eGO5ruqyiFnFo5eG4yQqkF9JQzF0d4u9M5Oktf5GudQi4pG/OIz6WBtGWBuCTo5TLw8aY4w1Amd0/xcBildBBKGWRbmw9vCViFgbtuSkzk4JUuIPPcU7mG6N5TiMdmSwOFBKPABBaeOKoVh25mg8woN6GciViDULBwRI/kE19MGVYPWEBfJr2cN0lED/CrQq/zKLC5g0vkIGZGcCfBSSF4USnfUTFWldhsSE6rAOCECiDGbujtNr3YUdEiA8OuA0XgIMHOClJFQXali8+Oe1WHljpuIAAmdRyPURT/kc+hTUBvp09YSIgLhERvMaTIgzSdFZ6TYilpjyYpZApsRxFafvNiZPYHpxYMVAlrNkZSq0WKVsH5A5LzAjyIJwvWnhZjoJPHT97PeMlhqNutbtYEKNzDOFdwgBLf9mpGBApKNKNx6BqfkAAQGOjYq1kCCvaY3KBhGwVJOGY/1zPmcSEghmqleaeizg1sp6soTE32D4AQvvFAimAl/6tRQjJ3hFkPo2srOUXfaa9ciaKz96IYL0lUMXsKP6V/LwCwUytPtgtG+tSm6CQQwhqKsHJL51MH8KRBBQYcuoXCmzbSZJGy7qJBxbQViaWhe7Qj7zcg1ojQPAV+56UxexiHSbCAD6MXy3/XTZNwN6gCZ7XbiDX905CZ5Kp/xWgtoRUFXxSc22CTZ6DTWRYmrKMAkQpUKQYsjCO07CJZgGYOZ5gNCZowX0XtPbvuHIrjp4XEZERywaKHoiBKPkJEz/YBL+wi88I8RpwJeXh6mrx6mXhntQIMFNQcBNkza4Ryn2iVWqBKnGWbYT75BhE6855hUSeBCCsC/JDTEMFVgM4KzzRG3UOqx/21u+e/KEtqgacGZLW8kZsXeVcBqcZHkzVhoQAgYMYzmA/EC6oqaKnFnPnI1SBKTc2cVNGbHh268rhlL3Ewmq5MChgcUrWMaBaK1CKFFGL82jr8glFzedlWlqYcXtL6hQAJYiQpw5FWp+95H8nDZ6t3WPpJ4ooANGpyanUyBjJBKvzlJLpsYdYkt+pWtt068HHHxHg3z8NZW6FrA0lU7z24e1PGskIN90jWokRtAfsLwxCWKAZXHG/xLSh+tgMsaQcp2BifB1uvaGhDgaG8kebp1/RIZkptwALLstw8PfOOEja0J0KKulLdGKrnfQ2y9v71Wrb0ivKOBhLipjZoACKL0nytEitFl9/MXEax0lEgPdBcHJdcECyn00NNP49pCXXJJDuG+wY8rKj3Uq4hCJrqK9A1QR++a5y5ZiFCFYH0erw7gIZGASsCOIT2MGup10udgQmNq0JqGm9OmZxgXnEsBer2ItYX6sMGBpIzU5WSSPjp2E5qg3Dv7XKExhhnqGT2DlZcd1kKZKEADdvZjtIBzpYUDpuVICJiGkU7BRgX6GO6HC1DngC2tsKIaLYupGcrGDigBeNf/mZxwg5el9liXggmpgzK8MUkleEpABpSre4ufL40dHLDYDZyUFdMcdkV09u5PB3+qdAhYmlw7oqfiv2Ln7Ab27h9cFS8vHVEnLypYT2KtpUZ5qbCgl8wvdGw8zZZsH5y6feWQStY3g2hVtQq7BmaB5Ng2a7kK/NVCv8avEBmgk3YW8/ZboXk/fi5nwPZq2otq2FggpIJUTUpYwMvtm+FvkhmTW1Z+4ny71zVWCmE9DUso6JQjJda6IjrFZS73WbJT4+hNq9UZvd3f/IcJesV6KYPgVCF6gQECGEQhUgQREYEAQAwtkJWqNJqaCU4M4OaIU1gL1ap24nFDzsoXkssn/ggPbe9ywJRcBilUn6iEJDuIRLcwMEhIlhCAR+BUhJgHu9f1p2SDhSYw4kQQ4aEZNZPCJRS0YJAoWsmUhUXSZydFZMToOFQkqSTllCmx2Gnx+qVmZiJaI2plapa4uK0MLWtZxLF8Vw/0ROZTOsZFuyR5Pq3EaR0m3ok8Hm5dxy8/T19vf4196Ou9HoVfXkVaFzZQTn0YhAWhvQBMBA+uEasZtyjAzBQ8CalRRnMIrDJEYeGHBgog9T8wUa8WvIqp+F62gY0nExDdBBnhZEZgPoYBYVq4BM4QkxZlSMhOYwKBKwAtkDoUKYtAl0MkoH59yk/PQzD9IV17662QQ6qCx/+oSihAxci1JL2lUpiRSgy3dkR5AFBNgY6+NND07bAXUqaMWWFNNrlnyQMARAQRklJHDgG8HQR1ekHOwB5aITgyGFPN5NmgvcP40YmxJuo44Aam5DvYaIC9fG98odPAQxZugE50FfBZa1UvCXGwcHGHgJzS5ABzuzG5cuzFu3XWuDkTj+ErDwFdaHPFutTtKo4lRQi/PR7arxYJeQBZAFJQgCh/Sui+kXTQRoPpLdcRPVFMJA4VkfMEgiA2Y0YcEDPeJkB832KknwHnR9dScf2RlGEBMUDCXkyhyUECZZTR0EZEAMJAUYTRoqWWXXdwUg4JxqqnETUQBapHjbt8YQP/Bb5+1g1MA69jygFJIwFdGO/fVZcFrO1FZpZVX1kFRalrCFBs3OhEUDzM+0oOcRGxQKA8ZZgm41YceetZcNqVQkNqaU8ZlUT/CHaSFmwVyFYEbjmhwBZg7RURAoaMV0pCRCQiDEQABDCBBAoVqxSEvIe4GBnuzICKeYOuFidWoFkKFR0Nh7IYNa28VFRRV5mCAQF7m+IiOcl8NsmkpUnlkqRiZymGOTIuwkMBsadg426/NIVnan3tSgoSRZjhFwCl1dHVGYyCtkqMELAzgLB+5+Bmron9MkJAfZq7LKIbwkBlFpsuSaq+1E4kZR78zEcpuKWRK0Aiw81R6aQD3alH/ixcDdxOwvHACJ6eA+2IIbLHmfNJwrPVGQd4V2S7aqmMlH7lMYViJA2wxBxOB5MbQVOTxKBA3CDKNYNzo4WbXsuvuFYFM8kcCyWJoIzpspryaVZZiWsYtTGNZtdVXV8llS8dOPaUVETnMq2kxuwqAAy5QkMEjdYgMkdDyAFXBpAKGLY5PBWMcTnqjHvvwmVtv6RISddNpcafA9SxN2GYM0MIMjwdmJqsTt00x1TBlgIFZKrYiTbxEVM7tCitsa0bXpdbtQpCypNuawzV+egaso0AX01KDIPLEBBfMAAMFMAD/7QyLU9wR56N9ztUeY5nQe+/A+7UiA173t8ybE0fL//eF0jRbxy2mcuuZbBMAX37wIGVAfBROtWIz2U6jdy4oYJSO5AQj/O77+U6kn1U8dpPjFn2DCWL8B74ldOKA2dgbAfNWDwl8Yw1ae18hdlQ/6zWiaMdhBfIK1TzzzSB6FJheL46VvTrcCwsZ9I7kLkia471vXe04D5Kal4HyPU4QMyDhBJumH2bFTh7sM8OODBcOACUOCTCD2zJSKAUGcsUvB3Ei1qo4typicSWB6xsZTgKAK3prOwEAY2kOlqbRIE5vfDAiEagYkMGZQRowcwoKFgUUFDRHAitgBgHKQa1RXa6HWpNGLOYGlHglQE4QlF8Y+/iHdhywGDcZI+ia6P8IInwxIpdbREMc6aFvzKcd82FGcORRAxrQgHrCudD7YHbIRaWraUVrh3ciIAvtwCU9CUhABCwVAV7yspdsjCXjBlO6Tw7lVKM0XSfZlZxjXsFMGuyRCpNpLjYRUk4NUd/h+HMdY86DmBvMm2RkcZX5RGBKcmCVJM/TEJARUwIiOCZvWNaYUUYEWAlYAcqc84ZPyPOY7fqXmbypnnrdMY979F4z25gOny2jnVZ4ZxQ4oAo8wmShi5SPMp15JookhmiFCGg2JBG5IxgUQ8MJAEWRyVGKvbQ0rYCUNdXDgG11MaQJHOlmapmLdGZjMz7aJhuAyp2EHJOoZWoMLw7pj2//gCwBg0JBFOKzRA8tFItkzCJX8yHIP2qBAh5IS1a/OBtJvCAtIjBOYVBAAgmAp0MietsV5LDM+KU0HO9Ji3WIViekCOIhrRFrpSygNmYwhQUScM8fHboiD1jAA6yjltaINj0JOMVUykCBCCIwgAjstEJpTYsiE3hAvDnBAyyIQEOwIg3HrEACRkCqHTgbgd84UA4G8ABr/zmGmhpQVFAREln9sRm3vkJMWplbWGXx2hes4LMmSFB2cDYmLIkzADWwASqRMAPu2iAG+kqtoHz7MAKIYAW41aB6umeIE5AkAoz9XF5esNrKbAEjJIrBAGY7Nrc81F/ws8J2aaCkLYBX/7xZ6lcBTvCBFchXEnVUDR/e2gJVmIUM9hmdBRJkTU4cYberjSt76yqmdp3ABumVb31u+S0PaKAGfqlFu+zD2/XqRwAzSKt6ByXX8eoMQ/VqDQM8UFgMtIIUtl0vTsIa3Qh4mDTtmIFqe5s37fTEyBIwbCt0y9uGbNJv7tUCA2IQY9PmOCQr9rFBqQkbkFS5tTgp1pfNOy/MWHmAYmYrLPgbgc2s5rlP7jBWyNABC4zuwPldYID1xaLRiaAmd9XOSp2xYRY74hStwTOab4aCG5sWJ+04gWolICgMlLKrql51PXK6kgsNdBCppnBgac2YWhuKGp/i1IJjOo+ZlfK1if/Q1te+NYgX2HoQlUYsElwwEFdvLTHSHPa2hK1sVi5sFYEhmgKnnYhWXGUVw7nVILYN6HKH8aoo/BejZW0cFVF7vA8hWrxWloj55Om6V8ruzMDFjnPjmtno9ihGx5uIqwJlFcvE8q3fIKdXCswJQDO4sgesmq34eBAFdyw0HrIxSWT6cNDwpIAFa2xl44TcgxBNrJ0gaxfrEOVzkrg88m2GGpz8kgIPuLncYTJBfCtH0rzdarg9cNbwjHZA//bObXKt1kx8fj4PS8z/lfBEcHM2CSGHJEOsCFuD/Nnm8A7EZ2EOYv9EYnpaxRIzGy6la3vm0Jg1q+tu94ouuiVUAwD/aL+lkEkl4AF+CY/eafCt3Y4zX3SjUeHu0TxdR+HPWEfZpO6XiBM8RKrGfoEbwky+bw3kGkwDCxEkP4gDoMwBURYEDBCw1SXQ5OiLyKACAwDaRAwvCpMaQFIS4VaYtLbPeQi+AGIARvfJI7u6nxSU/S4bzUw+7Q4x67xwIoPoveEFBxHHBqiPS+z+y95fB0TwDaDg0ySCAudH+t/8CxL7sqH3t8aAd+5nbALIiQnsnmuAks3BXm9FCSzJe7BHQdAAyCFeVa0eSKDeFdwe7mSdY81bxlFDaojDC3SA33FdJ8wA0R3AtkwAiWnclEhOEN2MxY2CaQWcBBDfCaxf6WEf/3xZl+2p4BaozwS0oJuU3wvGz+R0w7nJoJS1QE1UYBwVxx88IEjk3tDQ3v65XU8Il7n4ICjsQQfOQBDmyPUlQkgchFOAXE9Mif7VXhEsYE80oC2ETk6cHPyNzO2cAA1YFyQJH1dQ4GOxAfW93t3p4R7uGxK8lVr1TD0AEDcARQTuxG2RFjfIU3FxhVqxURYhoggYES85ot0tYnr1ExZEohHpEVllohUg4l3M3Dbs4SZiSSRGAB9WTQS0SCACAiKSjpV8ViX+wQCoFyY+Ei2qIpXMYiIqIiC6QiTyUy56opVcogiYYOkx4tAIIzQBglohox5eYioGClk5ozKmlzxc4v8wEmM2FhUwWgks/qJaJeMDqRU3fmNauCIR9CI6HuIyIqFaUaMDmqKVUGIxVkkvSmI3rqOHwOIn+sM5PiIm7WJBGuQ99BCVXAMGROAi6dlBQmRESiTcYACSTeRFYmRGauRGcmRHeuRHgmRIiuRIkmRJ1kNC7oQerUA/lt4KDKRJwqRJqiRLxmRN2uRN4mRO6uRO8mRP+uRPGmQXqRJQEmVRGuVRImVSKuVSMmVTOuVTxiTpQeVUUmVVWuVVYmVWauVWcmVXeuVXgmVYiuVYkmVZmuVZomVaquVasmVbuuVbwmVcyuVc0mVd2uVd4mVe6uVe8mVf+uVfAmZgCuZgEmb/YRrmYSJmYirmYjJmYzrmY0JmZErmZFJmZVrmZWJmZmrmZnJmZ3rmZ4JmaO7kAHQYDGQABRiiaKrmarJma7rmXoZb2XxmHr5mbdrmbeKmWKpIB6CSdeTmbwJncArncPbkoRDncdbdpMwNbX4lcyInFgHkc0onVwGFCjjndGInlSxnW14n1lBfdoJneNIDXHVABiaEDZRnaorneprBd7KnFXQnZsYnYM7nH9QncrbcKpDce/JnHdxnfwJogAYmZqHSN7wAKtGAb7rmfwroYzJog9Llg0KoRF6EhE7ohVqlhRJkU2ooH3aoUX6oKoboGI3ohq5aHpYoSaboTaIkhrpo/26u6Ivq4XzGaEfWaFe5J1y2qIzyaGveaI9K5I+6pZA+5Y4C6ZEiaZJ2JpGGpZHCp5JCaZRK6ZSSpJNS6ZViaZZaEZM2Z1ZaqZaCaZiKZI4CJZfaaGGaaUh+6YKKqXxeDZOmaZvmJJkS55r6qJy2aZzi6Z5WCbTx6Z/OaZcC6qBipOgNJaEi6lxyqZ4m6lUyaqNCalI+aqRSaqVaqmVO6qVq6qZyKpp26qeCaqiK6qiSaqma6qmiaqqq6qqyaqu66qvCaqzK6qzSaq3a6q3iaq7q6q7yaq/66q8Ca7AK67ASa7EaK6fegA4oqw7sQHQeq03iwLIyq7M+a7UKaLJKK/+1YgkOcCsOyEO3eusuauu2dmvVgCs3gOu4WoG6guQN7ECz6iEOvGu4XmS0ZiuWAMDRlEtR3g8MRCFaTkAH+GtP3g8FvMA1KiVNkBBHBuzA2iQHzMDGseV0dcBL7iFp4pB6YiS2lmsU7IC0giy94kMOhCwb2Kuy7kAOsKt9fuy0RgG2guyy7oCFkqzLXkHNLqvI4gPMLusNtGfLLmsOXAHPxuzM1gMAyOwxtezKRgEO3AAOWCi2Mu2V1KzO+mfQ1h231uzUrt0JYNtHzgWMzYPNeWXYaivZHqTZWsnL0CRObpmU1IEbLBurve2hCpndsaLYVtGafK1V1i09+GlExib/CnZkssLrFQBtzFotPSRuzl7ByUrr4VYJzEou0YKs5OYD5fZT4yrr4s6D5Sqrz+pezKJsyYCuzKorAACt6Hqssk6t6rqulUitHnIsPfAs1+7E7BqjpJWkrrTtFxjAfnJlINCdGgWZNO5B8d6DdvQfTxrnGCiF3WLR8x6RGK0a8batV+UdV1Kvv8xtQarIgSZoSequFTjtDdTsDtzA+iLsH2DrDmht6Y6usgqtvIaulZzsu17R+a5v/7Ys6+YD5Brty+YsAKQv056s0AYAzJYMznprAjdt/0pwyyowPSAt6lrB0uYD7GJu5sbu3dXuPOCsDrQv1pQvlQhb8oCk786D/wSgEg9u5T+07WLRAAzvogyvLRAZZfeWkPRWEQ/DxAvXHQ5XkRb4sFMCsRXIAA18QDnuoTTcFUme8OPSb5XArg6E6wXrAOu+76IwcJWMcAebQcuWMDeEcclocRb37M5WcRTUrOhqMRrL7x+Q7A6U8fw6LiZpMD4YMLNeyRSvWghzgxbfb90BMj6sTJhx5ACAE1zS1BSKJCP/TT5ox64UJQ+DFDvuK6slsSoOQCNAcj7Ckh96ZQmESkxWZ00eMhHYawUHMMoSMP3OTdVGgbTqrAHnQA7cAG1yLMoyp72KMfrmsucucOd+7AAHQCvPDeXWJy3Pr8qOURu7sbIiLDDT6P/llswejxHP5oDI4kAu4yw45zIZ2W8ex/I3B+0n8qwdm2zi7vLQdq7ugbM3h+4xo8w3P20499Mw5y8xr/ID7QEFDIqohKDG6a0VEJp3aV82ZNxC+0ML5Mbj6ZiCOkB54pcBoKfAHqwSdwBlKCgRyEB5NgCJwQAPZhaVhTSD5IMDmJYBfCBMQLQH1ECUseEZ+FhIWGw0WTRIWPRllE5Ioyd6uglEd0AaGEAFZNYLhuC3qPQ9VHR5WoZFb7Q/KJoAdACs6TBIl2dTk2F9fHRIVyxjoYANy4N81YQBdMALgnVqmMBldAHvlec3wEBHl+f5FcQKKJr6sYEMRJlYXQFYjzT/653fACxAXCtRT68fUO9FWrOLCOZGychXlKH1+j01flm1VB+TDNSEX2NLDlGZVC6vCH5a6kn2Sz90bsw0AXJ0xZJYme01oHE2Soi22MJ1UTsIYsN0R+8FV1P1ERxB6+W2THtYSDgxHUI1EvT04gC2Zr8HOUjAAvi2VZ8HWJsnCjwg/snuB5usNHvwFmMSyBZKHBPBCANwMmPwHcoys4qxFTgzfAKt516w0M5xMeuAAhMyOx+tPcOnL5t3fcMzFtNxPNsDB7e3NnMugLMy6d7rNMdsDlzR6SJ46yruf8csyoTwFesAymxtzZbOCIPsthAyyLqyFfxzmWhCRJDJ1dmE/wXWoKvUABGCRGKo3P/J0tzdyMwIb7+BxGDXYYznwxMqEdetQmMkTw0kwhGcQNT9gbUd3I2DC1OEkTlgU855LT4w+cpxHcAhgYJyBCRklm+yIDRsQMnoOBKQNbdoORzpy0oJJUSZwyiJnyCsX5iHC5mbg4IZncKNAdEJL8CI2xpwmweikY37A/FpQsk0zjQoMjcAOSn7+cFxXc6pXZw7EJ1/Wz81OqrkeSJsRX4u2+50HE+MHNPmJ9P9llXH3WykucdNQ2NobB38cytProB7+KKo96RArn+b73mbwdZycHResBhjuOdubQCoN4nHcx8veD0Uu+69K7zKOrJ7N3rb7P/Roiwwh/ce4+zTAu229G/P9i/UxvIWO+0aEwHPcvt8bzs6U3PTymy5c3ftXnEH27PhAjC6568VSGs3OzAblPg8AEUKBIJBvZZYWQB4DAckpRWhJVl9HIAFbAbLRQ9n+Vh2oJJ7GCyCHnQRcNeg+EixGMAHWACRo1Fatdb3/oGKoIAFzNcJJoQFXHTKUcNI3EZOe8HFh9gHaDzKLLENeHwYzcAHmNYH4Fd2SAIF0LxhLC/OO4HO9+aiXIUB0IAFJNC4JccQPAeD7RVjjRLIi/w39LkidoLBpoVpJcZXsYQFcFcCoQCCppLBhbxh6RzHpZWPOUxhxD3YR4EF6HwC8Sb/E799Ve3Fzxuhg9yHDSgFoAe0iolAlK3BBDzABxxYyO98yDRG3QvCKD3XerlGPhT8SBheVag8ywuCJzHcylv22duEzvsFybUW5gPX51tA6B+E2tMA27t9aiwWdxnFa0S9yJs9gL28jym595hAgTKJxosNLBwodVFKawG/IKzBOuX1yCted0dntOduPGMr+sZusBdKy2p/gvO3Gdirz4K/+3J3Bpvzrnt3+p97PJ9/s9eDIPd3hkezH7O/rpsBENx0ulzAeEQmjYChTiPU4Yy7oSbAHEqNuWExSd0pl01tADfcWQPQ6JHavpKPXOK8qz5Xj8Kd9J1OyisSRGIre9PC/6ozgtoBUIJSE5tESggRMCAJgBAQUEGSuOgkUDiSaNE0Kuk8iUGSOTjiFNgoDRiYTTGacOncOOLoRLE1GrgcpjyawKBVKmBNXRZgaAiQGOmMNXrGTE1O4iY1cmAWQNjtbd7u1DWaFb/N/Z40FkD+lv5V7iUIkO6Xpm3WC1u42M0TMwDbvSTSDJyL50sZMwYsgnWqgMQBK1fjmFGoFmABtF0fQyI0YqEjMIlGRmZCMvKEN1UYJ40UMLOkAJDjOB4hxzMkTp3+TCZZJSAjvgzqQGETQNAUDW8qk1zUd6QeQ43MDKwMSs0a1HYGu6E0JSoqMQlU1wkgoCbow11NneJsJ/+SpFGhPnOCPWpNrVQjp2gG2KgU4cvDDiGafYGupV4BedEekXk4Zqe1Ryxoclxslr6Xn7iZ7nu5kJ5JhFTvyQIAjGw9WMJAweH6SB4dgJIossJkh6NJtOEoGZ5FTJPgzGFHsR3gjSSEjdQYd2JEjhHeXpArvww8D/Hpa7ogsU1dem/1W4bcSIKb0fnnXqB4vwJGTXk7x6HceCOH9uQLgA5J7lttkfSQ4C/B9tCSBgUWAkgqK8Q6EWuSBOSZZIKmTjiJr7j86YUCb0I5y5SFJsSnFwtdygYJTujycJqTHNIsGQk+pAmnpXjJ6aTE9Kmxp4ngsiKBAZZksskBkrjGHhb/k6nRQiB/qdKfprAMbKcRlXTSSeqilFAMrJCIMKQITejEgKUwOwiJ02AUQBt3cnosTCepZCYrxjYT4LCk3kwCJzs3wQQivMDp5BPKDuXkBIiOGHSefJRILEMI+4RyRTG4sYyyT6TRFEfVMg0RlKZgOoKbH7sMys8YZcGTzlDnvNDGeSqd508kzjxSLCBBBIrT19ZhVQycuGLJKb5QAEEvmDILIBi6jjUvu9boOxY3OkoxMD8iotPtt0kIpM03JXh7cAkNAHgkPvAWnC8KPkppECFF+sDhDdbYuAEHOrhF4ozh2qUEuAKVK49AN1h7WF0kBh6u4u0cFtc+8PoLTr+C/7llo4l4v2CNjjIwxsKLdOXV1kFsKWxpAgyjralOHbEpSoygBIAhgxl+noGZMkmdEtGcx5LSUheV8HEznYZ8KkWUIiy6QskqUmbWxHj+mYKfhWEBSM7G5gxaFZPGx1jJuGwmyl92psDnGeIGWxoBZiC77CnJLLpVm85m1W7OCL0TExhmkBtvxaQllFqcDCBb8cUDiOABGO4OejJfYTwa5skL/ZvzVLjhGmjFl2oazs555dPZmg+dpPLEy3mRbzFmMcB0xG2CGvAck0kKdjSFrjpmiqYMCM7PqUXUcKB9/jt4hFhPZvO3CI1SJyCx3unFy6wH/XM5Q0d62rOegWmVZP/nGblehMtV7b/3pqgNjXDh/6ZcNCihA77X9O9Ngv5Dv5ahhDdNQOB1/IVAgvXHf+Epz3jWk51IkKyA6yGOEgbGwIttLA7syRYxCNicRewGZBwsgwlBaIYTFpA2OXiEcPCzsOM8B2HzmEUFloSia3mOcFASRZkmkZS8cQZrV2KUAFaCNCFSaWmg66G0zmG1tEgNIUhEAhX/MTx1ELGI01CA4L5otsJ4iinOuhSKfuE2z31xGmGzixsZQDMm9g1GUYxS4OIItqi5cXEvmZQUA0A6N6JOcmST1fpwIijybSaK1IqSH5eCvkACEimNFAMWs4hJ0B2SM7UzYx8L6TkL5fH/d5SgXkPUVjMi8QNNTxSk6s4RSbJBLnqcVEIqb2LFWJbxLEDqx5G8hxbwAeqHdwykKaWlCTalj5fJaF+23tfAy4QMEAAIVwAYqAX8JaMROQDnwG4goO/oQIRouU84BwZOK4RMW/kyoL/6kM16dSEPKXyYOV+jMBoqIFwVnBjE6BcGMbwhYLlBaG7UAAURLgigSwhXygLRwt40ARIcbIJv+ECdBb0wCSa76AUhlI4i2ukix1RGU5qYSwyJwAIi8MBLLWABD6wtCTmM2ko7BEs4KfIsVPTl+pTmOi2uMkueQ4FLZ7pUmFpjpjSAalSl6gFJ2C5taFyaGpH2i6QkVaZf/62pBCwgVbJClapn06noQHGJwJXDljY7mwA+oNSl0jQV1vtTDcpaVk1sDQYfmOkDJoO+HnWCkeLraWFhEskD0BSmM43pXa1oyU0iVgmabBZK/WIPwFrABJCr3SW418e51tUDLtVEUoIZ1FNO4qSUOCqlYsZTTeL1LJEsbV1nmorX7gqXUDwM8wrDVtAYdUsvK6bqfidcaxBXLzpRX2qfiU6BTrSErwlZIsqjiADW64HVwSgD1SOIaKLEnRhtJwLL4JyCIfQyaFAPvK6QLXyysDflZZ/H7JuDhnnQOOoBwyToeS7/duERGJsgCSWmmwHSQWIbRGG9UijRD2bQfSG9If/w/AiPpISqU7qaRO9g24uVEjandrwsT++oWOk6S5mbQhsr64JGY4n4ZSe2lFGzeok1YuNtk7kxWlGcOl9KasYz2ZqjAmCJnLR2mY50cvgOVdtEOe2wKLWtTpgcqG/YVqi6TLHrPOdhQE0Zb6CM8RGY3LlLuhgbQvVtZWBLvMq2ksZ3mexZ1uzkDk/vt1AOH/befI7Y8mWYKEnuinf5uTye40/RhRmcqStSFc7wMt1RYQYHJgmQfmw45FwNfy2WUR2Us76FSA4++VCxHawzO5jmzv7Qo17zUtOC7em0avg5QecMEAnwvbUYEBzS77rG10dwDr28+xwpGOeBxknoDRD/lK1i00cRIoSnNLHFjRfolkc1Y1YflXxZOs85NeWjyZ4tdVzgAppUdKyRpEd8bsq041LC3ElaX6buM1opq6LocTOoFuRKRCpHhkJTU4w0cJwYiTKaVXRiv9fkOst2cvwGyqyYlmdWuarLee5cYoQXZu919ZzjWx9QjcBkE33qzxGSRLyj3OZw78Th9bbpPvDs047/Gaknz+UMDDDyjQsV4SnV1b27h9zpRnzjcL1aNR7906aDl9Kxvu5rEOHA52iLXda9L0L0+7HqJoHW39i1IhLRv9+cPX/bEQM2ZU12fe6TvfZ1zngOZGB57QDoev/NyYDtHh347+v1giHhv7t1/wljHQ7TPoJD795ptWd6QGVHyI6qLKO/aV58EaDjRVAQIgmswJeIBf1OJpcUTSEzx2L2siYimZfHzVzNHLKGXRyldC2pI5I/TP2xKNs6f7eNx1tFGurpqBpK6qwTDr/IiJ41oUhKn/WpKr3EtY/ozSc/K9LbbGOYsdp29xQi14eS6Z3+5ITDZaje8zzhIhCS5hdGLd6rf5tb7w/181DJF5E3Soi/JJi/JbsEOSsM3cu5BYw9cMM+9cu9Rgo+pCM/SmAuz9GU6LOCQis01Ug09sOU5zsJDXwySIM0bHmoPZA2B5O2GwC6bzAEGmoZRYAh3vgux5OY4hi8BLE0C6ohHf8UKEOQu+rirlMDkINig8QbgxxAKH+pLzroQX25O+zQFgcrhRhkGX7JjYDqDW4CKDYABDZQIDSQAizEuxsAgH7ZQYexDhqqr61LwnfZtDFoAviwQWHDvHlIDJ1SLeWJChYYgAiAgB6qEZ7wgAEQqwxYLSJ6gRUIRAvAhldpE6qSgXTwsIY7LRGAQGtYgU6UAWHoxBUYCpDjLc54gQhoAc4IwCHijANQgAhQCyHivdhiREeMABO4HIirnufLxE0sPU8ERU0kAZlpGx9DvjZqxEDERctaDF4UAU2somkggQRgk9CpEVm0i3aIpBPwABaQAFScBpppQGJ6vhjQgBpQC6f/2JkDSIBPZIVA6r2oeEYROIlxDAVm4EZvBMfRWz/wKcQXmMeT+MUVcEcUWIEIoMdmkasGCEROUJRy1IAIgArYc0ZotD9W6MZvbAEMmCM6aYUBqMaqo4SLiAqGFMRrIaIDYAFY5CMSwaqdY7HTo4CM3MfQM0WTdMiGsAuAfMbli4BOFMRO8IBQjBYUkUZqHJwZs5JV8sCqSzSjZAASkICQRB2qc6ZVhMGyW6Bt2qet9CC8Q6AcxDuxVAJlQ7avLKcfjLuxIyCubDu440IGkhjuQqAbJKBTk0KBOiA8CC9QmzUOkgS6DMuFCq8aOiAE8sshlMsUwpgA2TWuOy+4E8yM/3qQFCRHMZOGopCAWailQNoZsokMv+GMQ7K3PRobflQlsunIt3irTsCbjsy/WNqQL4oihJjNvPmKrLkzC8GJItJFcxub1RwkN8IAFHCAHStGPPui3+yQcjAiOtoasoGHZzkJItq9OGrN1YzNCzyjL8oKWsobeBxOssmL7ey+QswbMjIx83OGvHkTbnDO06SZzSyia0HPvPEeseEMh7vP4AwJo8RN8ZwH+iwiiNiQ+OQMJZtFtVlP15OMIqIAOiLQzmxPsnkTYrybWlqc6BwbeFhQMUOL2GSU2tSIL4KH5lOfKeo+7MqCLcwnjMLLeYCwUztMv6Q7C0uYubO8bxiYGP+NvB3sD7j8USF1vCawUcLLKBpFA/zKywvyF0lQw7pkUsUMu7hMUtjYAXeqryg10vJyJ79jmRTiDQlal/PgAy1FDyoAJ8Rsj9wYMJS4zR9qNCQwAdPsgFSZAM58PsKRAdM0gBeIhqbogIm0h1Q5Aol0zibqzSJCBuYSrgHozRn4AGzYP9tMxbFpOaRbSteRgcsZmz+1PTFA1LKho0VNzxqJBTZioyOoxFoC1JcZVWFYPgdIx2ygjmsUoXcwBT3tBBioKSMIhqPhzm+IAJLiCQugrVp9AcFiswR4gD16k2AtrKM5hbzxVeWyMiWgxkOKVj/iipDkDAIQkgtwzhOwAHb/I8AOOM2iqVayudZdxYRRSEU2QwkTQFBxVbNLNSKa4EBYktZsNQV9NaJfpdM9woA71VYT4FakG6VxqNU6iTl07b1DQ4h/3SV6PVTTPABJ+NdVgC6KwxaKIUuCay+FSoaEItmUVdmS9VEDQigm5Y6XXVmSRVmCS0P3OlkXbQ2cpYSanVmX4dkhHYSgNaEn/VlKCMRnFEUBnMdNJMB5jIDU/AWEtMijPZYBSIAEWLIgMlSUkICmJVmqFYGotdqypRyoNVskENuuVY2vVVq2XVmqddokSNqETFtQaFq4vVsxSAC5Xb5DVdqUdVtNZFu5Tdm6tVsoAdu9tYa8RVq51VuV/11bxp3ZyaVca4JZytXczeXczvXczwVdy/wNNZ2Hw8ww0H0Z3kPdSkiCoJjO1YXd2JXd2aXd2rXd28Xd3NXd3eXd3vXd3wVeArs6OozC4A0y1YXdUKCADzhIqjTe54Xe6JXe6aXe6rXe68Xe7NXe7RXdNM267X09iv1cWpIc6QPf80Xf9FXf9WXf9nXf94Vf8O1eoY1fnQRR1B0Ayxkbbqzf/vXf/wXgABbgASbgAjbgAybZrI0AskXgBnbgB4bgCJbgCabgCrbgC8bgDNbgDebgDvbgDwbhEBbhESbhEjbhE0bhFFbhFWbhFnbhF4bhGJbhGabhGrbhG8bhHNbhHf/m4R724R8G4iAW4iEm4iI24iNG4iRW4iVm4iZ24ifu3cyF4imm4iq2Ys2tAajQtxKW4hPu4isG4zAW4zH+hiyWTzJG4zRW4zVmY/j1opZsY7P9Ygye4zi24zvGY+NlPREIIhQD3TpeWZgFZAIe5Asu5DxG5ERW5NeIgA5wZMJQgkZ+5JNzAAZwhSgZrUV+3kPW5E7+XPny5FCmXCISzjYLx5tJMyfmZFFm5VZ25SMmoi0mZT/2pUx+ZXO55VzW5V3u4BKwJVnWG1TeYqtdZfAt5t09Zv9NZl5m5mZm4lhm21j+2w8bZtRdZmde3WvG5m3m5h+WAG/UWgEE52+wqm7/NudzRud0JuByVud2dud3hmfrZWdljud6tud7VmNMpmVC1hc2TmZQxueAFugUdoAMoAAX2GIHAJpqnucN1uYhXuZoeuiBpuiKrl9SnuaaMYBSVgKFsIcXPNo6nuh+BuGRdl8pBmiLVumV/t9Y9mOXFoMasAEaeAB8/AAasIElYumd5umeVmSYFgOgTqIiEt/oNWmfRuqkVmrq3ZqEDuanI+rzPeqlNuCUpuqrxuo8tmoUnuqs9uqvBuuwFuuxJuuyNuuzRuu0Vuu1Zuu2duu3huu4luu5puu6tuu7xuu81uu95uu+9uu/BuzAFuzBJuzCNuzDRuzEVuzFZuzGdmyL/7am031s3zXdybbsPI6Al9JEkI7stPXZndVZoxaDhMKBYyZtkR7thOpqz+2XkbVaAOkDlIiX1QbL4b2MCbgAGGBOE+aAGUDNy37si7g5NHnYqKjMFk0hryRSfZnR0WagIz0W4yCoeuKg4SjmP6AOAFlMbFHulgUDifHK2A6PBAq2/wmYYn7TtB22uDPSvXXTPFQN5G3b3ULfGqApyW5KrARuwvaitKqBMcpo0YUwt7uM7ga7wUQPFl3DwlyhbsmokTnMurS7vqQEMAxM5f5eaPKXG8y2/GpwB7ftn13vkPpws53f+MYADCjqONvt50URjibZD9xvwhYj17EbCoiBvv99VjJimQFZQTRowZbFwy4UmCm0nzO8Md44mN1owSY3qJdRcnXJg4PiUiFvuxwIGA2ocud+8B/FchzQ8h5FC7q8cPhOBrZUcPxO2RH/KAI3cTNHi7agAZ1+DTCT54XI6CCT8RkP7EKkAH21DG74bX84KwzrWVtDi+1QhAeCbSVsw7JEiA1ybQIC6XmQJym3S8YLslxjEARPBk5HOwZaPDiPOy7A0TSnbWbz8Dpk3BPvXDuvXo9mgEq/jAFQgz3nc7+WgANsud68zk4QUOGdpgw3IL7LlhXSdCf8DXWCWdxY0pMFUkYIpxh19hIPqeK9NGqq9lMvU2Jfy4xSl3wJGSb/LJhwMtJwsksuFW8sLfI7GHJ7Gu0FugH1wJhpJzvtXjBwanciUA99z64KJ/VkkIEOsAEbcOQfGvg7rely1IoFcOR0gAGCd2SdngCBfQFDlYCDr3jFYQCCDYCEb4A+dc2Lt4YW6ACPz/gOeJOEF4GJxNdxcGR1xYSY7wBINgKR50UxMAGI9wBcz3W+5gYjY80Wq+YeP3Rvn4dp465rYq8NusHxGFmJivYwLajl/qAimI2sRPpJw6eUMUtzOTb2sZ+NaRADL9KwHAL0GPBx6boI63S3X4LItFF0GZg2d4IBW/shIIbJRHRXn4cCaM3QHJ/67AgA9U0kqAEExYRxexbT/xRO9JH5sckIYtzUrCCk/T0/P9KUdpVOSRiAy1fFUP35uwbAQDILagCWWhveblJ9LYAwBXuEGgU7bie8d3l2IBRL7MBLA/l6DUJLBf/BcLl94a27Jh2PGOIPceJSWwCAFqzDJo885QeYtg8Yo0XS6m8CYlByHEjCBGm2Pzin6Qj7kAkYNMgg7mJCMTf0l5FpG7hU7+lNAwAsu1gtC7jpEWCGDpAqb7AbIIBZLBeBgNEIKAOTjNHYoXUwDNCy8BRQXg+XoML0bpZMjGCsXDwNHotXgGIxH5+Hcfah6T2aq1nwItJiZJCyVPIUOLJGQub4CBkpOUlZaXmJmam5ydnp+f8JGio6SlpqeoqaqrrKKaOH8CihR9OAJWCIeaOj0xeJs5vjqauDE/Crc5Oz2wewu9PnfBxMdqzzDHl8E9Bs3Qs5PP24s0uMvavNvQMwWe2tqbszfu6YrTR+7QhPjpzJzatcDsA9ZuQULAEY7mC8dY/8FdvWTskwHQbt7XroUAkAhAeBLYko8WIAefg+ejy2g8zEigHIYZQXbljJJcPceZpgBg0ZNQJOwGLihEISMoi+RIJgZEPFAUhvkcFpxOeSCXyuJGJpodEEMU9zLuFp4GcTIyrIDAgBhyUZB1FjLHFgBkkACYsEHFDClFAjVnz7+v0LOLDgwYQLGz6MODBPMLn/lkmSJuxiOoGOuQUbhgMytX02LV6bLEneQ3EuIQ3cZm2mo4ydZHok44/ZPYYq9+lIaCn2ZMq8AoCD7Yy06pD8apfz/Zr4tN9L0vU63fE4cmIwO2O22Fu58Wmxyciz7jjU1jOPeN5d0vTnISOMHY0V+tQIAZZjjUriiULtVK5TvaZJSoYJAC5BFxxyPGLLeVYJUNZYVfQngAF7JUZhhRZeiGGGGm7IYYekLJZJTY8lt8kwClwHEEG3WWYMibBFch1q3fjiTGfNbdMZQC/NGAlMn+CQQw7y8DgdRjU+AmQy5ORgYyS89aHjSI7FuMR3jiijDiQApRbPkA9RKeNyknlX/5kztLV4G022ZUmaDmpKByaLMs4kYj7hgTKeTl+xt1NPEypRVHtrPTHDDBQUmoEZcUAo131G4PJInk85oROIEOpZ4KKPQGCGATBQQEEGhfLJFnkELiKhh6quymqrrr4Ka6yH2QKpJXWak2ZrwMwjZW/ppIgmbpRopoSZMPLq5Jkm5VqsNU5WNwoO8mgTLG1HjohsJd39skMwVproiJXNCTlcr7bt86VIzZ1m4pnAyrlsTOeOtuw1GhAL7rq5wqtElHZmhyd/fYY1sHqA8vlIUVkszMCBQKU1iaWRClyGqQGoIRWEBHiTqcOnLgwyGEVhiuqfsp6Mcsoqr8xyy39xMP/gJbci6WKIthn0pIylBWuzNTkks2WQkBQ0CQDKEtdtkEEzeeW1mBy9mTXrgKP00k2iyaa25Dx3EbDwuLPRnf0SSSYymZ2d2Q29zOzcdL0w9K7PZ9ZDnG02TXRudmwfyW8A/hp3dSZQ6flfqnueYHKgkBSFgghDOC5CGx48RTEkGJt8aVcWXx6fgR9rSoYERdhlgQiRP55VAEUREHrJLr8Oe+yyz047q4x7TMnM9NTc2M4tVTYkm8NQK3Pedu++IidbGg+w31uzc/aLkrSNt/FXt53b88F6ra5G4lYptZZif9N9mFOXn3MzC23W7ZvBAJS1uXmnK12Y3pOtu9uiSOr/iBqGF544hDmiVISLxOAo4T/MKYF/C6TUnuzTQIvNZRGgW0ICkPK/xcVsghFSYO0+CMIQinCEJITEWDBQluI1D3nCwkQ1wkGsLXlDNPS4B9PY160uOSMeNvmbluJRP+QIKUhAdEZ2wja+1aDrEtS7TZeK6MSiGSs33xvSjIbnCO3db4XEoRf5iqMEzWCRDNdy2nSIFyNyEC8dZ7sBDpgzxjC+pjtbBA8XOXHA/nVwYAG0iwkVhbs/StBye4REx9azOSMoSHUbTABaEAcJWwgqUjOAWAQzWMJManKTnOxkh5rSqAVW5RH5i9cndsabGzBkIr1AiU2qoRqjaaRK8cDV/x3BV74bWWt9byoXcHz3ES9OJ37bYMhsgknK1ATulwCrhmNc6T5l5Qt5wxkNK6NDLWgqx5jZomEX5aguYoHzGtcc23FYgyYulnITYylgAvnoHjOwLhZ1mWQAImCFqTgwYoWkp5/w0pRKGaFReYFg4QyGyFAqQQIrWKgTBKAemPXTkxStqEUvilHx/OEEHmhABB5AhXz+yzo3UJI1SurGErkEiQDzB5OqQbxlkc1JZtTOJLykNSJN5GcoLakX/RFEIboxM16C2py8AY+hSkuNT9Oi/LhmjWJMRJhTjd4Wd/CQN/JoIlidzhFJYpCpylSVS9Vp967pQ3NKdUlQ0h5Qi/9R1pi+aZmTYOgKViADRa1ABBEYChYy+M5JGSEQphOpwl6wggFEwAIwcErm+InJJRQUBSSIQFMSaQTKSqApJxjKAyngAdM1dKF14SgLJBCBFoT0Pz2JwQAEpJeMyna2tK2tRUv1hD88KJkrZOm8OGFFYHp1H9UkxzOM2pya9kqY4RIuJJyzSuYxSyNLbJrxmCTLoYWvbue6YfZ2oRZntvK6RwOqFs1L3LUxj17ONK53nTc/49CLJL/jIkC0Ub3q6uxc5VqnJWwRIZA1LAB/NZj/EErgkPXpDgsTVB4lUWBJKAxkAgWZACGUhVDWR8D5FJ2FI4Rg24p4xCQu8ckmUJf/NXzARpjJDBmWZxvmFjO7j4Axc9v7XpmqA7n3I6Y2JbElGf8yB9nN7z5ww5uglpW4qpxlQ8bh3SXvQ67a+h52SiJlZDQpyduNDpPfVD1hthcZR6veDvQDpmr82JRJjfGQl5djYwApiZiQ6IfzEwCYQfJwmEuACSr5hEnK4A1ZeMGfHhwJzkkCtlGxwD4TfAIamOEP9lRCBFLsOQINYmGgDV0I/iAAAgxizyYutalPjeoKScB0IljB1WBMV1CgbVhWtS3ahOzCWftF16AAAK994eLH1BrYwVaFiIZN3TT9WqZ0VlUEWB2Bvqy61TbCAuKmLQKRdgLbK/CsI57d6lSL/3vc5C43YvBGTHOr25P+td+wjkfuA6973vSut73vje98f6LdfdP3nmbgQX8LfOAEL7jBD047fkMZ4bYIMcIfDvGIS3ziFGfF14q28INjzOEV77jHPw7ykIt85CQvuclPjvKUq3zlLG+5y18O85jLfOY0r7nNb47znOt85zzvuc9/DvSgC33oRC+60Y+O9KQrfelMb7rTnw71qEt96lSverkVa4HQrkA/iDEBDDrgbYxOoAMzWCRf6DKDF3C9LxNoQQZgAAMGTIjHq6C76go1gxNgwOyFkUAI8G6ogHeCAxRAQdgXOAIYVLrgCUiAZBPQmcafLAEs8MYAGo/5zENecP9w57vVP/9BGTy00IcvjBowIPiTSWAIqacEovkCld0CBreE4LiFJjzIvo8utqUogAEIFin/UKgGWY81yyRZsQEjsoCrgoqmcN9gwWEAA8wHvfVhZ+eFAb8wtJE37BR3k8qxwvmBZEVBKZAHWkxP1aWDbfUFMwBWu673E31sYgok+9o5KAnkJ8oGW5UgiPRhtVIJDHR9B/g6uEUAK4BaXQBRFeIKH1B+KgN+nWCAqUAbDjKBqoB/pacKNIYnj9ZrpPBXracJgeUIskADbkEh+KdttGMeCwRI/pd7fGF3BegF8HEwgGABszALJrgfNYiAgnGDQ3gJEkU4CZBtAleBeMT/HwkwALA3g08TChLgBPM0PUUoGK93CrRhNHZXgqIwAL2AgpwAgp5gdwNAQWsHO2OxZ2NRQSOjLQ0hPaNwgxK1SIGihQbkHwMwhiImS3v4QYIYCmdohJ1gCylECTLQWEbQaY8gAx0Adl5HCC/QABLQAh3wAjbhAJLYHm0niTZgA5aYgpnoATXQiAbwAoH0Z47oASagiR4oCZEIdi0AaDDAgmuxe2XHEq8liboVih2Qiwu0aYPlbXkyaAYQIZPzCA6AaQfAdRLwAE6gKAgFhyzAELT4AiIljYSWdqP1XF/oCLQ4OicQjH8iAZ6IiYDGAMyoBM64BtCoaR1gA07ABibw/wfDqAntJAmXFo9r13ZZ0AGjBAARQAOYJowQVn+5ESB/AAMeUIaRaAOSmJCQQIsNIHqV6G2M+ASgBTWM1ZGG9o4USQgTKYlq1xzSaARmAAMIcDSwCHYysHuWiIma+IJjBwOL5IuSqI+fgIQQEocb1I2EglixYAOERoop6IkBaQQPSQY10AEC6QEvGDpOQGqMZFCRII2j93XgmCeoCGir+AlaaIgW4oVDBzVluRorQ4gjhHx1dVlZsAE28VdR2WAehklvyQS/twbWuJIgszEWFJdZMAO2F0kfJgDDyGgZNhQehpi1UgMWtn3jYWFzGSAWplATsHtZ4GBTyGjuuGFyKf+ItgBqWWAwY9EBhDZQ+bSYT9AoE4CYUQGEwSeE2eeaYdeanfITjgkyngdps/kIA6BakvknACYfkVCXCjYXg5kU7oBilbmDf5lhIqWZFlYByrJpdsmZBcIgjvCTBLJ7i7cJVvhPMphpO6gTofkEhBOZIHMCimieMLCZWjAUtvkEHPediHSdyFWdFBaEFhaYndCW/UCHqHCWoDegGJKgIMQTHHU1ABYIxUiAxokHR2kUElUr5KmDc/EANkADRYBJUJFZFqCd6nFYInBZV2kJPBEhH+AGx7kNuIUCFmAHAoABWGgCeVAXUfCDU/EEMwqS9GmemSUIgfYWP0qjf4CFBaX/ihaQYurhfCAAAPgoQAAgUQbwAY4TlVi4DZZQA3qwaTDgg8c4egIQBTCwWjJKo08wTyL6ASn2AXYpnq4nfIMyojUaajSoBVlqA2awm0UAA4T1pIQUWZhwoimWQa5AA5tWfSzaEx9gA0XAGBBapI/yMYPlOI2FBhNAAzYAUlrwAnpgA6PEpC46qAtGCHngBSIjlKhiMNyZlZ7gfs2hgTSoE1eapSR6BtkFm005BKOzoQ/zo4t6BFZAnmbaBtO4fSlojwhVFITFaqHFEriqpaaiAZQZahbQFAYAn5uwoN76rWaoKmcSrgU6cuU6WyIaIR3wAeD4jm3xFmYQrCyKkkqQ/zq9imfomWj1J6I6QSukpUgLUqj8VJ7joYO2YJkBABcg5ghNSAZNUa8FhQv9ugQSpSm2MB/vOAO/txdQ4RPrUFAvEIQMoAGwZQCTFGFLEAHuaq6C9H6UmTFMUBUY2wsLSzBjwTpQkbNO4JsFWKcLEqALu2cFcqMsgYkTYgH6mJ/wxAnceR5MqkD8SEg2Wq8BkDpCm4sLq4NFYQDDKANmdxaWFE8MGwAFRTj0ihVaYZUNwBClggLuAKtzWoQFsqzjEZQWk7KW9icQuxRNUSuUOZlVobO0MQBbFwly2LCIuX0NRwYri2Eiy1oECHXoim+UK1syYGGU9UAEyBPwiR9r5/9IZBsATdGtexKiaxuvphJ7nuWxwHkxAbsgsHCsf7Jpk+SwC5SDxyhPfSCi6kGeqUKeV2kpS9uru+V8Ndq15SG6GiWEYcAeRzMWGYR8B0S9Iig44he8xYkwpaJQlsCFrzuwPlusEKKi5tmombV2PDGhZBEAoetYdUVB5Ue8caFtn4ucAqSXAGsGc2qoMMooHoO4r/uAdeiGugsH3jAeGLB4OnsJ3Ilg0PeX6qEGhSkJ7+FZBORyltsh6KrBQdd2gLYGKbStMAB4laTACyaeeBhB3Wu6JtN/EXQeGPwx5YtAF2ZtWjGF+kqDlYZbhwJ4mSUH10gGERZ7ADwg+Uu3HVv/mrGaYIO1Ahu4lgZkvZRzBKVXxLZaMWNwQAXyfnSaey+sw0XRsyr7ACRsKH/AfGWYCTIMsIV6gZt7FIQAd4ZyKHxSIDScgougfI6AxPMXuVGssLs7F0FxeAkQAQnQAMYHv+yrOXfrr5X4xBrRtn/gw4byUKAzHkgANZTZOK42CaujQXYRAaM8yisQAd5gC6oYye7hBXs8FmN8iLHMIatWjPkBqx8mKBITKU6wKAGsvKebp4/ly0l8gssrb1K7fInLxBCcYUEsT2oxvT+LuN7Xxh1bpnBAlQubBSdwAIpMmy/rBfnKyoMkh/zoYWPAxU6GCchsf2F8YYQEwqCWxgt5/wnD7MdUfL5MfMvWORdFUEFaGb+E+qr3rMtd2saw4MupsDo2IcQaEcDq+gTdLIAf5sqKwoZNnAWa+wgJUBeli5WMYVQQrUgILE+a08WybGIdjG8loIwS4pgHUDpZ5zht8CeKBgl5ERY4zXE2bb4mrcMLBaKuW4bvxM5YSTi3i5WNMwRLPQQs+HpNAQavN80TRcwVE2Cw6x4jsMQByk7iF4TVJ9UAYs6LgM5kbYHiV9SIK1Fz2sMuuqY1qMb9G8zVbEJT/B80zJ25utSSw3+8DMULhRb/fNfoiBYDPNiTgIcAQLp1F7axmslG/L5MMAULE6CM4zhLfTrumMWUYALXzP+tzYi+ocy/kg2YvWCA39sy5arSKA1xOE0CF1SeNRy+WHkAYKy8MdvTwtyq9AxZNf1Ptp3QSM3GUnyeTdwgcQHZaKDLDmyeiINbHl22i7V70C2+L/uzQJncm53O6Xwjl8CFwD0gRSG5C7ZIRa0EN9wJ9kzPqB3X7ftIgteBleBhgi3AgnLHBsbbuAsHEZDDqbCwgg3esYp10/2uzStYJ71QqcWm7lBQi4fUNy3dT5BCp+3VsLLaSHfhgJHhnIRBjZC/jjLbDoK5fuQoAuDCIphHq6tP+b2vgLVHUDGvlmqnnmfbtLmhoZsqButt6sta5U3IEbQoPBGsh8nE3lvhDwP/1j8Ox1ts1tytzgXIy/oB4zsu44xz0ZdDGwmtBGttgRa94m583QB0v0UOsN1JCbBNAQoUgyse47PdxHY53sKJd6NNCVBtSHosUlP6zl9oNG8ZpdW9xvRrp/StOspI53yMMHmSgUc+h6zt6P6dlKkLSSPevRPAsu39sFmwrLftwnUqtdzZHmAh1BPFOe4LKcfarePBpZdqT/g0pJDCvUkA2xCE6ju4obAVoP3HnVwtAfrB5etnQEeO2qZOIA/VIA603WbdtIugorN+6sbuUO/s6uDru6PDfGK8baOjiBJFw+Yt5kdTFJocOuBosd7GUAiyvAnlWRLF1eCbehOW5oZU/9hk7r2KQpUcZObuLUC97p0IA+rdPe25DQmIzKzYPMTvvMOUwO9k8OunHeZ/seGUoJZmyRARrwkW390pbVQYzzKIYAAdwFcfteD4DlqnJQhU4DE88e4ZzXUra8pN4QF3tQJW4PAWY2cfoOCyWcwubjhFsXcsEAGj88+UCa2edViJtViNxRj1YQDQWAMPpSAKA41BP1AH4piUlQAs+onhfCAiigt0EWlPLAEma5gVbNcC/wiMNvVCH8RckewGXueumHVDIfUKQPXnaWc0GQFR+RO2wACudfc12KuAMNPFbASuxWikZld4pVd85W1heOdR4QGnlVqrJaygNQCr5wIboP8sQh5a4QbUA7UCfmakTCsJvLnql0rvlfCv+9oTHjDKpbUXdIGlYk/2AohYWKf0By5hcMBXilUXeqLih5tZotqpncqMHtaup3X7SO7Tj35qHH9qzBzb2Mow9dsThomtkivS0derwi98sw4ym876xky24q/pPRkAxVj6rMXPVg0yN86cjFzggEkfgr6Dn82blH0TQIARbAJFo3EiJB6PCYhAIIQKDLHixDUMSEZarpYZFl8zU2il6DSbrUbJc01FkOPTZbiwRoHGY8llzQDKgMQorw6KgcVQrm+irI6hwchBStAuLGlNkhKRQIEpz2Cur4hjCk3sS2AmtdRRiGJy7BH/McUNMM6AgGkBUcA1QPMurORX5chX4LbP+HdpNY73Sulo+BU7W3ubu9v7GzxcfJy83PwcPV19nT18oqWuY9YNfg3Go1fgpPBVWYDfWpZfaGoRK3hkgIkpMz504cTt1L5k+gAm8JcIIJMEJiCdYSJjRpwX/LAIeAEHCop5aR5syljEQa4pBzRYK4MCVBEAh3gNeBByzYecRgBsOxgAQFGbYMYkqDeFAilhWQ5s6ULkC7FuACZ0QWUkQUszUcWYkBJFAIF5Djrqs1BG6xETQAWgWMTtjZkO8CQW8Xd2Ck4jvvr6eTrlHpMJKKGcqKD0SASvKe8WiSATCs0whF+KcZBo/2WTEF/BKWPWJ68Zx5B9CpxiQGgYGa4HEch4bYwDGHFQSBVWRlYpZ1AAg/HZVt+BoUfpxG33HB1k6NOpV7d+HXt27dgliPC+go8f7yJWhN7ebUCCBAESdNnzvPv3chHGm48sXzz+MfS928c7foWhwJGOnPjIOy+/A/sYgD8R7ONvheqKgvA6A8tDDcBxGvQPosygq+UEDo8wMAIMvxMwjAZLDCeBDTeLoqpzJFjhRARtvBHHHJkgUMceffwRyCDPWe+IStJCUcgklVySySadzEaCMkaB7hQBYnwSrzIKw5LLLr38EswwxRzTjxEY+GCFCBTyiMw23XwTTiATEMGCXP+meS6BFVaoKU4jIriwz0AFHZTQQg3V8Y86CODz0EYdfbRPTQbxDdJKLb0U00w11bQ11fDZFNRQRbVO0g4oHRXVVFVdldVWx1EvghVdnZXWWm29Fddcdd2V1159/RXYYIUdlthijT0W2WSVXZbZZp19FtpopZ2W2mqtvRbbbLXdlttuvf0W3HDFHZfccs09F9101V2X3XbdfRfeeOWdl95NGwyPywk6gCGY87qi4AUkmyzBgBkMtrLehBVemGFcUxOkCh1rsMADRmFhCkFNVPJyOCicaxjkkEUeWdBE4+h3u0QZwPfij7GrxS4vJbBAhDVdJhnnnHXeGchDKIghgnr/tkzZIZb9oIGGNmzUhILKvMSN56ilnprq6aKEQoWiJD3tvAHcEzhJmJ3ukrmqzT4b7bRL+SwtPqtsGy8LWuiIgg+MNsICuk74gB8HOvhbCAP+/jvgI2TowAbEO+j38A6QaaKFDl5gWYbdGvu0G40ra3xyw+nG3PC/G5gNihlemESCyD2owXKTxhbmsNNpqWaMGjrQ64DX1d6d997dVSbGCcx4SJuOz6Lgpa7qWKLjOIgP4JBLtHJGK43DS11Ri7PRvIg1ES4itTUWDYWK29e4RVJpLK6BtsZOFYb2MN42Y0rf7b8f/3GVeSyB0cx4vxnl+4AIHiCFO1llCi+g026W/zCBB3xALHtD2gMqdoQa2MAG9aheFoJjhCpdCSUKfArXtncTPnDgEsE4hElEMMJ8QOUFNsgCQTqCAguYTwCPEwZUPPAWKHRwKc4xWQd6+IAyADB/SVTiEpm1vwCs6QCjIQQ3JuABloEIIM6ImBFkcKUiDGA0gnlF2YpwCFd8YYoBYNsJlGYkIG5PCDh5WzDW2EbQTMRjQ7FAIWrBFNMYAQ6FC8AA4EDC32AMCVk44ABEoDsmPhKSkeyVMlRQEhSAkQqd8YYoSKEGYGDjC4rABtSMQL1O1IVPfzzCIXQIx7qIxQD9UiUjcohHMSomFmvxGDUE8EZNjM8a8bMGFA4oSf9jHhOZt1IGAvJwAgSgUZOlmFMHDHawTIKvC0NThXscGUxEbgE4s5glSmBgsAxYE2WlSB+bjgCHglUTBgIJhhPFoImVIYF2RhJAOasJlJh50znCg8I9IqC9ZB4UoQm1lChsUA00IrGeyJlCXxL1z1J8waKOyIJzzLgFQFAUM3VIp0b14LRoIEKF7FRMGQ54lOY5b2xkpKUZUBBNhd4UpzkV00WCk6j6ZYOQg3gBxUQAiPqJDZQO6WYiv6lGYqpRCHcy2QFo1kMLUGyPVJSoF1cxwKvSqYceWAlnZocxl6aETlel2VVBx0uXmaB9BmilTulaV7sq6SKPq8UbxwicjJD/FYHPK1NdlnqFjW5THw0ogBBc4UmbUlEI+2BbLdPwBG2KwRdpzIQwccO2m+GyqSMK2hSAeVfTnha125nsHZxR2lEKE5rYxBo2+tfLxxo2tMrwQBfe2FFycE8ZQPRtP64ZUbPSjnslrAvYmGCke6YWutGVbjqutgzZWtcoUZXLIABSpY25IULk+ylJP6bPXR7BGd8Fb+ZusohVADO9oZlAeAdT3M2aFS7gywXKInC3L2gzAaG52numW2ADH1gbyjCAByIAh8s6AhIvYIEExGLfPlLAAwx6S1x85gH9bEFPK5BBSmgEqOvOdkReOYEHJlwDeDxXG8ntY4wk4D8MT3i0/88tSmajWTaoDecFK2CQCXaTzkMwIKyzMAYRI8AgOHwWwVGWcmpNtoaRluIigfDNZC8BhRdkon0Ehl7p4oABUXpwCoKF32uGdzd1CgHGazpq+9IcnqJwsqwGEWaWzWDINZshFS+d1JQJXWjphg8KSuOGU9bwgpZo9go4HEQ6JUPTyvCZpgLq48ewNwUhJEary23nU8F3mERgbscUoUV+maqVygViJLSYzCfVuJsu7xOihtb1rhPKHyuKw0AiAt94ZIUjCwnbHMeujorE0aL68Bra0Zb2tKldbWtfG9vZ1va2ud1tb38b3OEW97jJXW5znxvd6Vb3utndbne/G97xlv/3vOldb3vfG9/51ve++d1vf/8b4AEX+MAJXvBGqQfhCU/4AIQxghl40ToKTwDDf8WjdkwABieAOHSIDANFl0Nf/NJUyK9scJPDC9NxQAApq1OC4mQUQROr4NIE8sbYHoFAFp9ZVt1xWOsM1xwsr9QvubTz254c6Zha4S+cWYuNT+elYkZQRd38srNw7aHfcEbJR+nz6gAd5BjAQDGHzuonbT3paR9VDZA2wZS0nQYWaIDQpxMBpFmABu01tnuQPZ2S/HAeN+8G2nseWnbQU0ZI+3ilJKB4LhGeXUlJSpAmXyuLq+vyA/JG5XvE+VYJHTcDGIBBodMewuLIa6IWh3T/Mv9mQLuhC5BuPXrZ6XlXLmHikm8H4h01e0wBAPI+8v05hm+o4gvp+AdN/o6yARkeLR9V0Lf6N4dhO7R0TjGxOzqUlEoPIlrjb65oXIOn0AGApE5yMf1bVfz2t0EMTnKaPoxtwpA6fqUOKEiOMQa6TGDBB6DSBkE5jCAh/kYgYAD+5uodzCDWkKAMqEogZqCttqCAEON9HCD2MgNFEA/9PM4bGgeDOmDxisD6AuPXvqFxRsc1ZKdxMsIEJGcW0G91vMIAJCx05KEFpMADPwJxQhBlUrAF/GnxlCclgkYEvSECHqB1BEdpCrADIAEBB+fjnPAIF0b60OUK1e4bQE+i/4hpfbow17jv9NwKoOqrDpxJv4RgrjigGgSNOGCMfXSBUjThCTeh6lZKHywnFQTPe4YnBkPqfCwIDPEJETaAUSYAEGlNJ/owzcaKTVZBzbChAOgiLcRgfl5j+8RAFCTtDHaCFXwDz/4MLUiLUZbODGbg40yRwxBhi2DiGbRBKapsDWgsEUkDF2xRC3PxPLLQKMyOEFPihgaNl3qph7yCr7wBoyqDlEriDvzBAKgKEs7MlGAPCuZgAiYocD6g7WZushiAZizHlwADBR7gdmDM9ShABOLIvWKvbwLDAirsTvCOBryiA+AOICQFwyzAGGehj+qCgEgjqKDgA/RxCqRCn/9sqAJ3AY/QwGTUixtkAIM0qP4goQOuyogEIAzHgKc+wAbKAA0Ayy+K6+/qIhhRLAD8YW8sQCCKCSIz6LxWyQwGEhKk6gIiywPMAhPwAhAAhk4mgxTk0StQwB6ZoMq4rlV4URenjQtfcpzy6IsKaRySkRANwusUjBQQEcX2SpdQCSHCSGDg4BOeEgq4RlLQ8ApmboykgATgwApuDiz5xEjGKwCCb9SGICcCkhkk5Q68axE0oX4C8g54IifY5qf2J1EwQOq2UJh4aZEaqTTsQI8KgccmIo3+rhnH0gzNUivraTFPsjFIAs6UDPCQQi+9wQI+rkqmR6XqbzJKDimxRPr/lML2suM1e682x+Q2deIVchM6cnM2V48deJNQXpMZ7wuIPIsOwhFuwgGjlsPrpsKPXvKJXnK4wK6iXmczCbG0+ugxFJMiBAonYstkMgIO+oUuk3MlfqkmNMEsPUrVUtOb7kkCBOKv2MkXGCIXYG4LfZExz0EZboky+SHVKpOD1iJ+gGfU5LI5XuR7iuAJ6meWxszwIAuRzjPFcNFShHM7NFSJfrNLfDNUOPRpOtOelJHV9KmfZsAFQkI/8YKbpjIgolMR1+wO2GZRAOBq+KrGBODMigQxzGkGKIAyCDESXWkfgiqWYiu5imAaS2k1YUIKUpQC1PGQMgrPgE5JqdRJ/2U0zQpr/6hPClCAwWrCQ7GB9wJUNycTOnsUangPJMvwheZJ1WprvJoUL5QQA6ypQp9UIyRgABqA9OBERJeoTLdiUJPyvuKiFlqKdtywS4Gt+8iw1eprvNRTtkYB+KQTfMLodRw1EfAFZpirr6CABADARk1visjITueSTz2VR0FBYwSkozLLN/6Lj56TVbkUQ8GB7lboEmoqHChJIzMJMtSU6ByQKUIxJBWURl9kvCbz/1Y1G1JuT2cUUa/VUUDvOXEjvegkrUQgrKKSU2F0UkNyS5b0gwIADuYKgfSzWz1MrbwVTr1TIug0BqSIj/hzVbeOR7pVreCVYha0Lj/Svv8QKFUXs0n57MEo9GPmIhDYNcFUTRML1lg5qyopVmLxMC7UdFkLIVo1FRsmCwa+SixU85MOFVujDGUvRaaKE1mXADnX4TpfNkYDU6V8LAtQIAJy9nWksrlA1rigjPlIU0r4wRlegB3XLKP2tRPDIGYvJqOElfeybklz1Wa1ACxFVbluRgJGywu/QRmiiVbR9JCoMjohjWPnlVLrc4roNCOklSgmtkHLlgksNEdWNkPhBW+bZG8/tF1adluRS0vTATwrw2ettr4wwItWVRQsx8/UQJuqNs/cIXD44aQOtpcmoSgAoEpIiG2eTnJBK0TAImkRlKmCIztDErs885NmbBz/6M5py8Act+FNaU8RURU0zepi0bZgyZVsO1Z15XRCMatgV/VzS4GQqskoU7YU+pZVnHdktPW4wGAVDCkC+m4wCIBl0gtfbFUsZfQh8LJuFwLSKPNUVoG/rqgze9G+OqZt/ec0qksBWQqxrBUAw2NrTokT2AaIqmR8aksR5dcM0SBTTXI/vynAiFJ27xDLMnZ8GzQuSSJwz5ZtNUmm3lRNneEhNq0bxla/NPVY/UAmlncboLeEmcSEmSiFC7UdMi+FdXM3YXhWnNdl1fbHEogEutYCiowbMgtN1EQKiIGQ4ogEyI8pAyOH60FHZYLszBDD9APIhCwCVHJGa9gbSkKz/6IhjYZDOS4jJYymjxSoP7bUJEhAw3j4kKCgYmoAEg6gKEwGeSzCFofDAxQgAiDBooZLGYoUNUJMBuKIRq6XSQWgA0SgyYxYaIm3fClBCg4gAUaMuwTWrZQibTl2RvTkj+sixMQJY9MIjj3MNRLZiWNAA2pAJqonwsbDaKKBhG3khZk33qxYUmeZdclsV0vBFKVgaBz1aj1tCvysSjDgytaJR/HFHyhxdZuVVwPHN4ajfjwpDiDWFGeUWlNBoCJhK6VhKKCZflppuEzGtSRxECKBDxw1IyeWWRGoDo6Ks+JHWT3zp0QBEURJFNjWIAMnDkSZDgoRD+jHWlmZZ14Zlv/DRZbplmYNh84aUBsigBMNAFjDoA9PwIcu8wRogC5iKTfuqA8k4ywyinROUaGhU58VIwu2xGQKIyx8GXma4iIx9KMZkCTK4AUkzSEBMKQ0owkq7IdeokqCQVIgtg+oVdR0gzfOmXgXFuMYkC9iGr+YIiLqszAuUQ9AAYMd2ItT4ifsN2TbggImOgw2QkgxFIC1WmQEmhzMGinQeqCXhNnAgUEyxBG+g/TC1kDuMF3Joa1zxELmg9hKgUL249kShL6MzUV6860dpA90L0jUQwMKuJWZAEIKlYWRZbLTWq23ImeWr7LXOjvSFjWyIJ1zcfQQojw527TPxrM1gk7sJE7/LrtqjOEFGCwAAfS0a3tn3vm+CnKg3dCobdu366V28RDX1joCWoeYMvG3k1u5cyYBuhZ7lxu6o1u6p5u6q9u6rxu7s1u7t5u7u9u7vxu8w1u8x5u8y9u8zxu9z6UrHu5N1CMbJg698tRgFFevIaCfIpeanu5JWoStOIQ+aCZAxINiAlw8SmwbEkB3uoOotPZ1LwAGBElI0iMBAlUbusPABdwDCBx53VsMpphmRETBx3g/iGpPEELiEo5RJPzEiUQcJJz0PByxFSO/oQTGOYS/PxwbXPyr/zvDDYojHroPEI4FFE57nO2qSpwJBkACVpzFk1wfYSADKEC/QQlcvYPB/1/ByGOcOclDQbCcw7/B2TwMyRFCAob8xHf8qzjEwrtcFdLKxMYgPSiuHVZczgeJySecKL2DYszjzvEcstNcGziAAuQhz2lGBK48x/WRAsppyjEFdonyqm5L5ij8Q74Yl9mpeUa6HWRxkR/9OSZ9HHDSDNRCMRiDCibQYc3g6TKZtJBtSVlnFE9dFSJdHOyJgW+kIXtW1EcKJF6D0Jkg1WdCODCUCJG4LIojLK3BKyxBaYQ6Zq4ZpYiyAsn6FsfwCkLKIT19OnmjM4L9uFEjP5VxMoBiwcTrsdAon5Fg1gYBdEZSF1AmIHOyGxix3MFB1APjuT9iDX59DIbjsa9g3f9lHVkHQi6Kg9+5CDBIHaIBYxfAxt/bweXOECCmmabCgxG/3QwRQcyKPSWO7p3pvdGBytSbeOTWtxj49BZn1zpMd9Uy1w08zGZyhJG8I5s6o6CtBhBUHiKQeTT3OQ64huKTedv1QNgO4Upk8fUe+N9J2tqBxB+kbgGTHtjZLCVWIugn0Od9ujh6PuMrPkZPZqbIeYd+QRHfATC4zhfiCFS3nkfnQduDfqXRDJuH1dKHMd3ra2HV+e7X7NY8BLd8WepPiZCRButfIehDfgykmuu34eIduur6cemJWd6TgO3ZSfFd3gguvi6MZgH6vpiNC+XLwZzDHqbKCBEKI+iHVBT//ZC4NCvo/WwbJqseaaDwM0WmxMBuZSsxqyN1iXdufVdHUvvmoQOjbl2dIsyMWf0yT10DUqMvJut0Ok2zrnkDIkAGIOFmUvcLOmAFHjnclb7Ws6BHf8S8LIoL+h5l9NL6g1jwJ6fTLosxXCEgf2YA2Fg6hwMF0qSFzD8XgMDgiUQsmUogWaMxaRZnRiA4JCWmJtPSkp5I1Ys0LEAmy2YHJoxiJQcQKSU2qEUFm/IkejfzAwvDiwiRiYEUgUbSRJoAQcOAzOIen4PYGp4LisUK0UiYStmCQFefmUSnwRNWDB5G5mZEp9RngERq08cDlxdfiRQZKfBZ2AuIxJbobnCf/6KhI6SUpLIZs8BLhEyhHfBb2K/0dKsmp2eVbdMxxS5142MkXp21iHtZr9TLpkiLZR+37/c/sHodsNDw0KDMEoIWXEADdSIQkQczDCEKEIGgEzDaAriBI4dOQ2UFBBjYRclesWMlAZKq540lzJgyZ85ktmfAgIp9XCobEEIACgUAANAsGmqKsjwC0pFSGq0oVFIjV/KZwPBmzqgAfQJVULTevgD1CFSJ9csUSQRJRm5cKyVFGQ5SgiY5SuEgMLlIyyR4kCwAJQMMQPCa+DKmVaBstDLug1bNYlpgMHww4Y+PXrp+pDDAyzYaN7i8xIxhlbYMmqV4H1MJVo8pywSn1P+6NlTmceXLpB7PJRyAmQHagOHgtZkkwQCAJwcnAetbbBqyfCT8hNyT269QVLNO76R5K3Zl9Z4m0Ttr5mczoWOCjTw2ZmavAfTe3Un68MyOpWszQj3XvW3lzSXfUZ2VJUVr0tTTTWMt6QaQbKcFs9xzfUQoAG3ACZdafXxwp90u6ZWxHk3mNXgiilopdUANMAyz2AAmdNABQ0vNOOMqgN0Yxo0dvCCfBDN6YMJEonhASow35qiMBFGMEoxe5CWShpRJOBALSQfIV9UxArTigU4RPOCiFDN0sGQfU/2VyFU1dJANMX1cGYYBWjr2QI2i3IPajGSaeeOPfEQA6JbNBZj/SBTMPSZcAGyRwdZ5wzGCSALVzaKULMA0iYw0zDCXJI1SwNAjmoBhacAGhTITVgk34pWEDGQudaQZMszYwAOLxAGVXKhEEVYCLbxwEE9mVJrpb3UIMMtUkZ50SCm/5rLfb9Hxwc0sJ31HSngwgVUoH8dSG+ywYj2IGUlGKDZlf+qRdGkaL6grwAy0Mjmboe0iClSF80nxARgMRBZQSJudIEIHavyFVlgAjReMuGe1MKMaNsyYIB5dCtABmG5hKMykVSBc5FIfVPjeOwIwN43GKHQs7qXKRkrLr8d4I0E+i5T8Kn9VBpBAt+bq+xtDzEW877tWDvjNpgRMe3M+JFNg/zIpMig7w0vFsvTtvRKSoq18zEg3YtJlmKCrByC6ZYCzFLGsc7m3TdzBIj1inCLeeTelM2nQSqARaQwKHThnvlETOHnUCa5MlEyC8eQyVOZFuIFmWBY4VX8TvlcfaleVZ986BXA5aZUjTZokCxLeIT1hmJ7v2JJKd6Fw+qmFFuTJrpvYk2y9NXlbwRxDl+abUzs65a+uupgMUghxWz9iQOtx4DPMzJLYSjVshtb7Phk9FWhRxa7AZhyFwFG/PGz+ZXrBJQERous+2ABE8BxM0E1xdn/rx08TBQEmMJF9rA8Ul0kM4aYHDAGqDC/PAlnsqsWITW0vTb+rSxj4FpzbeP+nAfEDCFtEszfV4MF4Q0Me4W4HhvERTWWLUZ0YYCO02D3QcoTbIO9CJAYRYhBD6ePe5mQIjKPwsCppMF0NrWStFvZODK3RCxLgFwH5GRBDjgLi6hYWvTAo0CXw4x8wQtipRIExCUErYA/JoB/MeUF8f1keQkDHBeFMwIQ+0xseT3S4TCQMWamIxUA+wAR1MGFaJxAkEzqmu7nkY3FVqI7/HLNCRvXhcj5zytfUYIFpDW1BFLCACGzgJdpoDgaBsACWKIlBFrKJRxbo47L8M5dNctEMejmkCF7Zlgk0IQ2HbIIi+7euaB1QI7+4HArwcjkD4e6NvjxIYiwBQyltaoP/yjgK28ogAxt8IBYowEIyTgIUWh5KewfhQDa80Y9AqESEvjPABxYSIHGSxHn2lERHToAATw0Miy+BIz21objcJYZ1J7nDD/P1lKO0ZiQUQJgTt2QTIrlOlf/jVDAYyh/8dCQ4cBTaQhHUSkaqBD9JiIBGxlY8MkzAmGboKAk+uhvSCeco9IpnHSrHm2GUsQo0zahIb3OFB9TBBsDEoihAaQMXrKSZ02DICfAiEFDi6VCb2k9LL5ivpYCyBRjAIUMsEZgwROOgmzmeQD4gAqIe6k5hsGgPMXZVlmpENABFnVsOBssZBApkVLhi6wzQAbWydWjrbKRWYTirMWIUGCht/2tVnJQMNDYqqAsKxKna+BOCPpNdRppXh6zAhCgYwKiJzCNq9YZASYjRnz3xDriQJon4lAJwJjVbwXYzyWAYx4IhA0waMhcLAmzJGMmwQKmOIiXPPbVgRCQbI+STGmtWVp9miMAK+sAVFFARqRVMzVJkpUCg8ahI1E1ovnD4qwZojgEiyG3/Itg5R/bPpJ+pyHQz9CsF6OV4JzHAkk7SoaNYV3f1USzi+kcFmY7Gf6tiLxhQ8N6NADa9pOxEVM/6i1VtSVx7sGngUGA4ZQXuto0LxlXhKjT81GPBadgHh/lSnT1garb/eSrJgPIX8FIABot4geharLsKhiLHPMTmLP9WeiDMHQbEQd1NHeAaitxx0BDFbcEu0Du4DBnkopDjsY/toZPHEPc2NPACAwfT3gmrdLMH0fIELFAhpVC5yGKwlySlQEkH1KHHw6hINCGssgnvwXchfg5a6gPnLqfsSf8NMHG22rfYxgW++9IZCtZky9zG+DgzpkUsWqMfqmi5HtbkRl/1U0SDaTq1rm4QMzKsxOCtuGsVlOD4irewERTptqD2moNOGFla06yxld3Pcnq6QMnNl8pMfJVZi527Cp+PaZ1YGcFIImJS9DcMrDtdGI7cmy84D83W0k4FKPtr6gY7kvnCTzX/AthVTQtrfHiuGSAVV3fhkAZG/TcT/m3/A1ptykAMdu1FyZK+9R0lmeQmyS6gmMaUUYt0H6YTYcPQmj16QAQakXV3kJVtBdonkgWH5q8Wg6ljkpVd1NUcQbORjet1uxDfPrkEy8cHQ59QuVjcw98o0AELWAAGRQI59SDbYO4OURQWTTZQ+bVkAbTagAUWEGm+DfWmMEThviig+yYuDe1QkufyxSLT0ZV15XXdX2NgeBhmkPEnS/zYvl4lbfBdBn2b65ubVNbdqhzLyJFGxY+J1Mpx2xBPPQc4WZ7LamKxkjqS0DRpNyArX615FSUqMsy4W/ccc+1+trJhI6FyAiKQgAZ0N75M+kk2ectscLjw5wr9hphcRIEZ/xRpuRBfRlg9n4aNv3hgBfTdPUhf5VuXggWqJ8UWJtJjXdGRqQYwAAzylCBquFee5dYdASJgLXWjTFOxWHV9R6jz20twh/xwntF5z/vLaHnKVQ/GvH/Vr/TTngCpIcv6YMonWQDgTN6LyUeFHVs1IFZIIJniGVwdTI+Sycn+BIN++Fro2R27bBv1sJMY0Jj+5ZuelUILWIzOeMMWpAEMhNlSJMO8QV4fbJMNdMIAvQqcLREtFEoNaBwfyKCLFAIHekj+3NvvlVzgXdSsEGAYQM4AjIz86UIZRF941YgMCdkCGYL49UcAhhWBnEsTdoD8mdea2IoNuMgA7R9HDGEAdP/JCuqKOnTdA8GdyC0TynWFx7zEALxSBjxhEXID9oVhrx0HzxgDHLQahTSFv4VKGpjUIYqgPTCgNkTbgTwJpjAA0RWgFzhAjQBikWwPc20eKEKF2NDeU2RgKXiH8o2iGRxDqUCIpYiH28gesWGS7dXaNWVDgs1X5iVG7NAiLfaPJGBK3B0AFTGM8jkMF+SIBHADtJAXIzBPkZwH6bCRBMEAhnkBZV3I9ZziMAUbfiRGKYaEMBrCwOwU4TwKsJEdTEhip5XcPx3RKWBjwUwjaZQEeZ3Xg5jjB/ZQ7MCcWlBDpFiSVDyZ/lRetr0EO+7XbQBOLrajBpJCAhCYVDmPMjL/IyKwIxcqQw3USIIcBeIdERpinc9EAEc2RRR8GxFmni0GAz0WXiIwpBg4GkmcgDIOT0WYYiJMhDVyysPcY009SFbxDRQCA0hwzkWh5EnMQEW6TTQlzErIYT+SFgmQ19XBGUwuYRthyebcllKw294RJDBEJBeAEVsEXvEQzh2U37olQ0vSiVogWCX00yeGIl0ixuxJUDi62/Kloh5cy7kox9IAwwV2ylUQXl7uQd0BgzjBgFoNiaVtxi7eJTiyy2FOAyxxkfwYY1G0VisZoEG6XVkpy0NdG2Eczn5QFtgkxREd40o2V2W2UD0RZPEcQC4RnW16wOOxkNrUgm32Zm9m/xc62IDFwJINxA3CmUY9kQEaXckinIAHkCY1dIBwLpWodMAv9IX0XA4Z6N1attC3qVtXqthZ3VFrHhsDTKes+Ahe9AXcNA9W3WUAqGEZDOZZ8VAeXJ8XsAUMTCcsSWdPpYbOqWMJSd0VdqOcFN98ERv7qGRiToisOKd3EMYayQsoaUTeaZXuUEWDVkWOKefihYFwSmefcUwaDgPReRywHaiB9hB5cGe8td9lyCEPuRE1TCd1CsCoIMGEnii+KM4UWEDH9SZuisRfhuc/0KeXWRR7DoN7IoFaOhVqYMlD/cS2gYUI1CaQEh2erdL91aWXLlBfpkxe+ppmEl7DzOWRyv+nLDEfK6CKmRpfSNQD+n2lUfbWzhlbK0XDZEpQw6hb6imhyB0Im34DthhLPALXb7HfS7FAArTQtgnjPnAnkl5hK4RkeW4gnG5EDonTedxjl0LmX9jf4BjPHfAc4Wha6AkjASyGRoULo/IpCJgmWnqIBCQAIiSUlrnRb1QgMFZSLOpWoHrjnZoQ1b1UrSLCvK2mI24jdJHBG8TegayEoeGiW/LWjWlY/1Fa6fXUwRUPs3JpsM2pY7yqORlYqGJUoVYZVcgpb+WJZmgUApGquS5ol1Le+j3c9aRrtKKZsrzrBeUq7MWUUAYOWTCDEKnJzxyqTCRgElwOyRFpJCFT63H/xLFqIBo9hqYlALm+GGFI4jeg6ZeG7AjpaZjK0hHyxRs4mwSxjq7OZwvIXysqzYr6pV5e1LYYGM/gG9c0HQupm79gwGHsKWXuy7dx5/v5D1V2KZ/x3qrS7M3gS2psi89W2kaIizVpI8gM6klFgLKdxBEWVM5eEBzZxaswrC6e61MSqzYQyQrOwArmCQUwAKqei9XSBtZCyeJ1wArurawYQAacrLTtwpPuluKwWzZWBwYWjoKcC9u2bfZ5m9xqSo2ow0m+yrGoJJ06az7iC9tmwN5KzesYEYG2qszekVqa6f2AhbKB7M6yxInZaXfG5+ZKSOuGS3VcbSx8wgR0QI8Z/90K0snf4iU3qqzl9Us9hK7sHs+i/Iwf2u0pzMLgpkVL9e7eLoLfuljwaA5VmC3T7JaxIC5LMOzR/IMETC6fShRUdenrBh9AgKzIvu++6Cl8qiL+pahnqQ+vTp19/eUZHJGyTeKaOKMIXVWS1cFLRIBvCOivKSh4FqZp7IEA30YdnIcEgMuGHpt4LkgQegwNQSFwRAo3+Ax4nQd9vFCkZS7T+FswEd7ZRTC+kg8bkNlN5m8VZBe4Yt4uwE/q7bDq9XDreYq2ZiB9+MZr/OcifCv3omw5SVb/dMiJ/Ux1FJGAKRs3AC7/qaYdhiUzIqcIQR3OgAufXQZbdDCeXkIWW/+EprGFvzZQG5BIBKxJVm3EGx/tzVbx2BXhdBiwoFjqCLNL7FwOqbXVSTzJXAkKXpRwvqAk+1AL/aIQVczxsNYxWHLwGRTCkyCy0HQInU0WDS/yhuGgIwtuJ0uADSfACsiPXrDSFDuGCIAxfa3yNzijdHgr1X6MYpKDZPwlAp8t/Pay6MovrWFKIFwp/9hFx4mADbefEGiADJQkN/KvpyhbEvsWBXgAkE4kgihABNRBWPTXC7BA/WzBharMCtQP4EgJNZySCAytmAqTljxW7YEaPK0AC1iBL6kSgR1zMgvT9iwIAayABLinHT6GczpfP5zHAhzSJnCSAq1DBOwgp/n/7zfYq6UK85WKwHMsyAE4n0ZwoPaoXB2IBkF7QD1HwBasDMLicFSsSoVIAA0Ikjc1QXEsQvjVwDysxdQsNGbW7/HkgYRFgAhgCQh7RDsUTDo7n0qsic+1q9NpShPENBOUEUtfwk+LgKycBzXUiQZsZFBZBV8JgknrCjYzAkBbAE1r61S7BQxowgoAqgCIkE3JLSFi1EgM3UJbrw4x5gqsQFCH27B5JS9zWxh8gCNEwBu4YE6LyU4v0jdLACetKxetQAII9HfY1LDAjzh7Vk3fNCmglzDX8x98X2XpdVtjSRElBmAPzj9PNheFTY1sdm6xRRw8Qss1HSPXwUZLAIjl//DHkTTOnHRpflVBbAKWtOhjenUgbEKXoORSL0MGVLVQVxGAxQheg0JiM7ROXFY5F4GLNBke+3Ivwy7sJl2RCuXKyKrr3A9v4Adnqt//DqgYkIEzBg6aLKMUaFCGDGxt+5brBHfw2Ol8kwYFX+VxB07oanA/rVE9boh+V4Mjls79tOUGG+2yqYylKuDiBLgYLElao9DgxWvp+MZUMIoC08SDISHmCAfp4KLD0SmEXxNQ6veWjqO3hS3h3A2mfKvbldkIbQ5cnXhOZpBfI6eBFwfmOM95KLgYpPYGPoeptraLUyu18BzJ/MKTW5naPawFMbl9U2MSaEx6L/IN7YKSi/8Bo3Q5vVRrwxLOBieoNzjZktOGoeUYj1OtlnOEoekMu0k4z9D4CXf2g8D5EtIRiYkBc6A3DCLhNlLeDc1MVzIrouPZWS44nfJNi1dR3NFXZTE5eHup0OoOefQFieEHLGCayr2YVjaChUBS0FYujBvlRGvldXJSGgiR2fANBnQAtDHkJ5VsJZGMJfyi8PIFJ3HGX1B3PX6Atg6KqU+CdXjI2ZTJXKwJLNTjlj6DGHxz1ei5qpsG0vFWyilDAlCUI2FnDL2RQtKpSmkMBmBANVvduRIv9qT7SAVO7gh0M/RgoWs7xN7MFtFkU2hlNfBPtC/hYbQHxKjpIgWOrafMd6D/uUcM2wto5aXPNWlkGrQLJcaD+xlbzX3Xk1azzwnQgJ7jGSBXwl94fD0SY7goPLwrwzSmga7Tg1DyO1+ohD1sARMWPBe1Gs/LPM9ge773u7FoDCDkwpPEir2zvLEofIzkmI7FYN/wzwRAkhTMfNR5g7kPA9IvDJjjKK1MgMBnc8ndmjEM7MZn7TFC/FK04k4RwBZUYeDYfK3IESBomlzIe6fvPd5gElAjM01ohxUrhSJDBc5c6T5r19+LABj9feLn0eEDvqZc9ApoK4qk3kX3VOSfMpIsvrJtfoJasd6AflRs/nuDN+krfuaXPl8j88TSwkXfX/0gvuXvPSkj/utb/wTiT/5FsybmEzNU/L7rM8lFoyERUH5YLj7nu9rsIzP/1M/fa/7qQ4zn94Tjg1Hq00Tk95TwL39RCL/07z6KTb/2kz/vD3+4KH/tk+9FiwBrAsTtI7PlO74FVr8yLH4E8L3+i+x4A0FAOCQWiZKM4EQyEjkGwaY5pVatV2xWu+V2vV+wUOISGBphdFq9Zrfdb3hcPqfX7Xd8Xr/n9/1/wECiiSSptIiVsyoJRBDBR8hIK4lESctLzEzNTc5Oz0/QUNHRxwmMKNJU1VXWVtdX2FjZWdpa29sAQlRc3l7fX+Bg4WHiYuNj5GTlZeZm52foaOlp6mrra+xs7W3ubu9v8P9w8XHycvNz9HT1dVcB93f4ePZ5+nr7e/z86Hh+eP1/gAEFDiRYcE8/hAYVLmTY0OHDeQj7QaRY0eJFjONMuENwZwE8FCy6JBgBz1ATDgIoMKEjkV9GmDEVDoggwoOIFQoGdZhxIBCHDCgUsZowgoJPLSZgdBgKzMQMBizvKIURI50uFDrZJEigoclHd1AdcZFwwSQVB+5OTqEpwoIIqVtcypNZ1y4+GafiMRViatcaCRYsxL1SoAxhTTUsePBqxO/aKwswGEDMKfDgMIYNdMRjWECFdGBVtPEb0shHAx5WrPhCSYbaKhA4TpHwgB9fuXPf3eXdOzRCyn3JQEZTwh3/aC0fl3gqK4DB2CK6iFfRXHmTcQEpwqC2HgcscnNIBJhmAxZpEe5pJgyvkvZvkRJQ+JHPonu3b/z5vTnQS2AFIxMy2Ey499LADjws0utEgpKea+KxLWSg4QORQjlwu8Py8AxBcjYS4Dw1/KKgqSEUDGO9AotgUAkShcDOgwYiaOEdDq2wzx39ctTRmpQKTECEsVA0ZIABGgPjQiuKFKI6TwYoKasHCxGCSCNlQfILBZWk47tzEgihDM7W6BFEIsDqTgshreixxgAcOKDKDXOzb0c662zGszAfPOWAGmB454UKhZChgw7iMqGDF84Y4NAOkhBgKUI7sIqIp9yhwAMT/wOQACx3UAjz0BegK4JREiRooQMP+vwz0CwciNQdAyJFVKvHaijJHUBVbMEGXm1ItInaZnjnhBdYI+vUVP3EVVQhHFDWnQO0CmCABTqwgYxHZZ10CBmePcED9JQQoYN3UECstlOE9bSJCG6FVlohuBTjVEm7CPadGYp1bMY/WxyUKRkcFSBRUxGtsk1CETQVHgJaLNiDhS1l8wpdCDg4gH+3HYJUYJNY7islEPu3Adss1XgQ9qqoOIs4tbhRADtjlpkYeadAsR+LhzDshDw166g5eOQ7bogBPOMnuL7M4gfcAPCcQjbK/ML54iqwQ4gBRaR+p78qJ4AV1jz7EvgsLv+0jifnjfvBWgylEdJu3n42MJLTeAYcYoK24WF6iB7jEarMoTW9Naqyx34Hshr0Cno0IjQjN54KmkNa58ADqAHboMOeQFgYDHeQC+ymww5tMTyurMfp4g3ZCKP5ObmvU1Iform1rdDlMzl1m3l33nHhlDGbMUfBAn7tDsBMwJG2gAYabkWBeealsvoFEdxFegDZ3PnAAnc7eg13I5oL6ebxLHhcAMazmOCBDx445YQPmH8A+FwUH/789DV9gFezJucb1g+4hVyyo8Ltyle89LmnfO5zBwGGsLzmuaMD0KOBVIxGPX5lp0TwCKDSaoc9AHLvHWFS4PBKJgAHbhB3QPv/Gxf6FkDzvUeBDHiL0kYEuHdQ4AUPEBZoevS20qkkazkUjLJueDfMCWCC5KIAsxJUuSP0L0+jA5bSwoZDxHDKANtzVAqjE7tJlMR4NuNa7ubSOzSm8RVai9UHjHU3R52EX0DMVKYCcKUj3OptIMxQ/cA0pey9wI/TgdDNTgIWIG5hAF+CkmP0ckh3JDJ5iPEZERDRBUMOYY5DCGRj+PNHIuBxCO45wbY+eUSw2E084POL3fh4kuyh7ZPG+86KxuNELOwsTxGISyArxMdEcmoD0sLMJxt5R9gIIZZaAeYgHMWzu9FvCy07DbSIlr38pS1FWKzm6nKRhCM6c5tESADU/850uxa67EZqZGc7R/E9v0nFLycYinu8WMc+DkGUsHMOdFrJEtQNwh3PEZ9IFmCAtV0IRfQcZTLJ8iRWwVGIowRjE5gUrjF+AUXh/GQKxeM/aroIiiqUpGcYB5a1hE4IAb3bKRzUnI8JgV/gAcsHlEYAXD5RAFeUaDj9SDqwHJOcX9opJ93BOF3UTmzjMZLUJsaFmkUnCSgIkkudaEuebjCmKgQR1K4IIStctIoDbdEVXuZOtKZ1ExNogbDigVSXBkoX58Gn/5AJviK4Zy2SY0lI+RoA2SzBlqCpJIoYINc9eWFF9BlEXFs6Tjs27U8riOgWDIvYD/HzsKF0qEjxSv+E7D1qBjPIwGgDF1W/pNCvYmSCXzarT4fSzTmV1cIFKWsEBcJgtKOlwCnoE9UijGmptfukaHc7AyjQJ6ll7QJwr3nUlVrTCFSsgnKyCEXrOnKcgNsqfMjqhbOqVbzjjYQERJBBKK3ssZD0nx33ede9slZ1Y5TAl4LTIxV4TS0gXBuKvDhIxUJUTygUZ+oia0BYvQmTZPivdJYKGZVy9rNicBdCkCOaxvbzeKCkcIbACtu/yNYAT6WYXtwKPyNZDSG/Hak4TfO9k6i4HxTArFDBEFLvomJF3Q2Al6BbXXdcd4zK+aqUqlDOfE63xfVZJ3md/GQ/AOB7wfnwN/8i1g3/2/W91BUCSfqY3dmVZDnuSYHVUODgXKTswQEeD23ThETIJvlu5BIaCqmmsory0xBoBjGEWwy0A7zFA4IhNEtQkyf3UDXLcamvh43cZxXCg8do6kCd7exZFIjALYQWjAi42x0+IiDUIM40od0y6L0BWA1rooJ46GnPJiQaXiCz66IbJ2dVt1qMWZXshNU5JygHW9h2ACGV85xrIk8yx2yKsBjsa2gormhA4tmAYV4gIAsk4W1v1jObGbtelMW51kSLgAXals0SvwespWFVsz1bIyQL4Ewb/mxqvRLVHXeE3RKGJCpkgwEbc4Em2X4H4/T6xEmD+ABYCdTBKfbo4nS2/5sVwPG0skfi+Qo5Llju9iLM8jmLLhkL4R12yU3eBnOmWd15vpKP7eoeMvHzmChCmnnEeUMQCmszsnErUtWc6y34eNJ8Brqyr3Dxsv0czSJqCiLzKt0iVDxcmYU0vUGkixsyHYd0HNrtYv4FpPvx2yCTN56d872r+5a2X9xu4S5NRpWAs0XGXLvRP213iRLwp4tYQQRm/WvdnVzwg7eCA35FhE8uh9tWjjHU3WNX9aqof+nrEdKwo9QeoaAxnIIBCPp2RP2uhehbOPSARX/su6to1qy27LHB6mMNBhF9bP8vqUlECRV+MHtvu/xQepQz2INnlemTl9XQfQUJrD5wg/81QgSa7k0qhJbDgmtxBERV5TC4nNd8lLgyRY5RjeO941Rg/RRqEL95U4HkhGd/+7FDvQhEgIGXXvyHFXgAFsCzqOI0APU0DR2wKKVFeQekYaFS4RTwsBopKC4CoBWIw77aOoVL0bQ3qrIqQ4S+yx7VWA1HWBE3YgEJ8JBxU5kHZLl3iJYI8CBmkRr/AxK2sRQPAEEZwYDP4RRziRiGor7xKBUPwSurQUGlUTTVwSuw8CnkGwEDoAHKCkGdC5PpWQGaUIrPiqwc65RZe8KB85NEGr0wwA5JqsKM8iOlArJaw6f9CzcC2rEzCbsuWL/2e8OTkzF4WInxyzVb6ocrap3/MhC+vMmchsIZabkd0AA0cCvEBYuHz7HAPGslC9OUPnyH2sMCRfyLeHOdkIMciVKbsWgdxfksBTobaanEt7o1vLKlBtQCoCkDsok0fkCQSloEgflCesMXGskwvdsC8XitjrHCbpJFkOExLEu26Og+xCNGUsQ49WsyOFzGkmOrTpSgoSA6acwbArANHkuAAIEHhakwApANOhylPlSwIfCyj8GwNcs7MIgAGLCfCpHGR0OwVpyWBzCcE4iWQxQ9iEsA2SKcJsDGsVGYDBKAU4CBvVEOGujEVGuWZ4GWg0mAE7IUwii/NtGL42OLBXAreLDHIpCBJFKCF4gLMAMy6NvI8iSCgo8ssDYwx6eJJMcgAyOkArDYwNRTna1yDWP0vjCcOmScAjdkRp98MgAwL00TAebKgrYQgbrbgprACStYSqI0BkqgwL+LA6FkSjSoykqgjaHMqQBwyqLEyjvAyqkcAqeMgDsoSzxAkYB7QR4Triygm3RCxbyRnU+6xTToyZ/MS73cy3ZKiZwMAJY6giQYQbLrlKScAi87HJhUifS7S2XkS8iMTMlEowjwgAziKUQoyl/Ay8nsTM/8TLtonUhsBs4ETdM8TdRUiFTSyH14zNR8TdiMTdlkMmCbTdu8TdxMzdLMTd7sTd9kv938TeFMhyAAACH5BAUTAAoALD8CbAEdACAAAAbWwIBwSCwKjshkssgkKp/IphQKlTapTysTq9QauVHvEBwWB8hHsxAtEAMAZ7Sk1XmxipNO5xAnS0ZHKkUcRxt9YAElhUR/AgYIh1wBExkCFA1DDkcoGpFYQgVHFUOhAqOeVEIOGAIEnRIXlpioVQGNjwCKAoZraEOEAgcAEIFjvkITLgIMEZUod71kQm+lHUcpTseqSSck2dJDjUcEX+C/SKfG5tvLs+qIRMC83/ABABKVApDliAkiFjDGXfE1gRWSffwkJTsCAyERAGzU0MqiJqKZAWyCAAAh+QQFBgA8ACwMABEAvAR7AQAG/8CAcDiwwI6zw3DJbDqf0Kh0So0Cqlhrdsvter/gsHh8HZvP6LR6zW6739syfE6v2+/4vH7P70cHEAKCght+hoeIiYqLjI2Oj5CRkpOUlZaXmIsOggYdNDQVl3KZpKWmp6ipqqusra6vsLFQJYKhpKNoALiyvL2+v8DBXbvCxcbHyFEcgipvxHdXu890unzVt8nZ2trTrd3b4Iff4eESLR0dGILo6ErQZ+Pk8vP09fb3+Pn6kxOD/oMb4u2rJFBPwUYHnySUt3Cgw4cQI0pMI8HEJxeCXnyi4SHAtYkg5zU0NDKkyTUlT6pcaW+BgBMkqKRkOXAmTZJhbN6kpHNbz/+dQIO5NBAzqNGjSOmV+Zl0CNOmUPMNLUqT2NOoX65i3cq16y+tXt1M5Rm2Clhs78qqXcu2rb6xkaKlKXhWzUe3YpjWdQR2L96/ZvkC7gpXkl83hzP1tZd4sOPHXhpD3ucSJqO7ku1czUzNY5zJajn7tBtPNDLTS+6CRuZSANXPTFDHkr0abW08tJ0sBqf6Ntm/hYX1Npwqt+/jRo0jX/6rgAADCNoor6lYJnNx17Nr3z5nmWXd3LNMD39U9Hgw58k7jetMfdPcKQU+HZ41PXf7qvC738+/v///AAYo4IAEFmjggQgmqOCCDPaiX4MQNkhfE+PQNcWEXQwAjXyXPRj/mBQYpmZGiOvBcyEWGpLBoYkgepjWiSBi0ZOFmsmYy2UpwlgHADlCQaIQFaJSYTw9Asjjh1IUiZ6SClGhARVMRhYlhRdOycaRZ1gpIotWaFliklUiSQaU0HgpY4/TVGimZzqOYaZeMhEppkJmrsmZnWFaZwaeUzypZ4wjyvSmnH8uouaFfkaIlIuLrHlKnXPO4WigkeKzIqU1OmgKo3/gMamikXwKZpaehiNqp31WcSoUq8KR6Kh2vCpGq07Q2oStk6wpaxi4ctErG78K4WWwwoazKxhmHgsHsaA26+yz0EYr7bTUVmvttdhmq+223Hbr7bfghiuugjfoYK4OOyg7/y5eOJxrrrrrxitvV+W6C+8YOOSLgxT67rvHvTY60S+++kbRr797oHbDDunasbAOCCPSrr1iJGAxs4xM0AEMtqw0wQgct/IxBS8okA0HFDDw2iIah2wKBzN00IBKJsAgsyJFwDDDEe5QUm/BQ+zg7tARy5gD0QIPnQPAVAiNbqL1Dm0uwyk53TATR7tbdBZRn3sDhU6fe7UQXYfN8A7yiS2r00w3gcMNOKRUb9tm/CzTuTnMkW/WdEPRgiAnRHdJDRZ4APAE6hSSD+GGT4G4AIofwnjfTTyOAgi8SGCBBSsP4Rx0eGjOueMYRf6GDIVTTsVQgtMjeudOfN66IYD8Y/+6JOWOHbTU527d9NRaMzHx0Lp3EfXYXUtdPNdijwJA2MFzkbXUXzvlrtlQ8662WWFXDyTbXYD/xdwOC+17E8er7gX5YEhwwSApXCLBCAIwgLkUiBtAQD7u139/FI+7HR/6Zz8wWI4FvKCFADrGhODQQYEMfMIEMLI/OBDwf2dwIDkguDpBzM4Pm8jIJzpSCfYt4W03yNoObsBCk20hanGbXqIAgLcADM97wxAb2oaAQhb6UGgrzMr1XjW9vZ2LcsPLWwCiligV7iuJPPShFL0moyE6RXxbAKL6hmDCOdhtCtPTgQvh0MUuKFAQBBjjJObnvylI4BMx4B/9CiiFN9L/II6HYCMdvTCBDAiAAhh8BQedoEE4DNJHdsTjG9h4uS+FoZDgOGQUZECDDyBwTGJQYPwyUcYTmkuJXugdkKhItqmVoV7LaxLWrBiFo6UyHmHUndP8RUNz4ZAK9QJlALJWvVrqYIZHpJIQnKZGECHte+/iAgBcGYZOuuGLVoDeLdvgzCy0BnCwU2YdBkA/FBQzJNwUgDcxMYAQiNNkuBBIH8V5yVhIcgmfK8oAJlWSd/ohnON0k5/imY1p2FMLiFiGAJqBGGom8wkT0+UWJrbDJeKtDFmL2xXCVrRl5uCizltC7h7WUISaEn0XzcG+iPEzLfLwow795EGg6ZFPjlIH/wrN2jdP+rQqsjIAWARA2WjpkZDiLaQ5wAUOoFe0n01vaRTqmkgFJk1csDSkEZsYR1+Fg4tWFW+ysurwdnC+lG5RCGykwANqIcG/DQIFHvimEQZBgQ+sbAJmzcjMhgDXDnjABDMQxAxIKAQHsIMTNkAHDEq2BBl0wAaItWsTDCuzFqhDADBQ5BBMMIi9GvYFc91CBOin1wO0MwDmsGsNOsCJF3xWCHD1xwuyGQW/omMQgUUHYYfA2MQyUALosAFG9kpZsgIpAKkdxGq54FrSroMdswXrA9SRVxS8VR0oaCdjX4BBGbxPEBTgqxAY24CxCgIFMVhIBB7gR050QLIBYP/sa0zQAcwGYADs7QBGIMuO8w5hKCtoQV4NAF4nyAAGgziBdtPbARR096yKHMAC0FFeBtRXsrUNLHqXENzvNk4I4wXwIOw7hOJuOLbJ3W55/zhgIZjgsQKGpOPiKs4L95WzzzmAGkPrgRpoWACmLSw6GuBYQUTWvzfObln9gdYnKRgd87UZOyRrjsS2N7NLkMByz7qCKJ+jxjfO8RZCmw4fs6Nn292xDEbsXrAuQB3q6MDsGGtcFGwWjYFk3i+hkNDxudQj2BvmQcN4y62qS6VTg1dEwSZK3QAaXXKoVy+vN1OFYLGlNa2zRs3VVZZeCIiD1vOcNY20KwxPe0TkXVD/uag9iI0ijIUmtfJeBc2whfqXMp0073YwRl9KTaGq/moAHKAOAoRQgAHo7T9AR1dz/gNyS6jBsV9CUOA+9tiRO+Oy9xgA5/hDgNY+tgESzOJ/fJAKAv0HAzL7uGUT4FU1mK8/AvcnaR+b2tnOCIWfvezvAKAGjzVAgL8tBVroe9r/+9iywXxAEw+iZ+ZY9gYSFe9/TLiO1z02mGUHz+fEpH/L9m0ArnlsJgcC2gzPuADwiPGMb1IIDa9gE4TtD2KX/B89KwG9/wHIIUgAAv9WbaIS0PBBEKULvf33Y1vH8kGMm64iP/d9Re5xhcuq6IOIzsuPfXJnP2cQnZvAjf3R/7F+VFYAj1V6FiYwg5zbjgnWNi7XURvxtaNc5ISw86aTBlO5jxR6mw60DZUmvOb9dgl8e97TnlHL5Qme0k/gG04Zlj2uCgHVfVO89ZIpac8oWiF6TxulUSr56cEtbC7UKQu95sO4qVoHcItaL7sGt+093mtDTXUS31ZDVfvLamt71+VPj3o/v/STV0U8+g7qBYGmoH8UgHIAzthWETiW2KCF8QtEYAH6Rc7rkN3cdZOP2mejwPmDsMUEPuFdkm3Exem1AQ3Mim2ff8ACYR/CGaf/cUGw9gkh5K8FvCsAlZdbnBZQf82GfdllAX6EAdyHBeP3CZzwAef3KjKgfsZlOv/rZAAfAGMf8HHix1abc4AJWAXjZwPedQIOOEJ+UjuC8H4wpgJlsE4GFgAc8G8MBAGPNX38d3LZZoEGiEZbRj8kIwIiAGOtExz8FGwOyFkEsBE0QBXXNAPvV14qV23CBX6CcHIc94Q8KAQWcITr8AkO+BoRSAM2EHdNwHybYwMY4HLvM1geEIRRh1rkpw4k+IBDEFc2CD/yN4Uw9nNbcEYwYAEigIbEFkIA6F36Q1fqhgIWoHYIUAbXZIHklYVvlxFUKABVx3weYAHPJzgW8Amc5QmVtIRR9gDqd10rg4ICQAPV94ZW912LyAnNVgVS9gnXpREj1ED+YH4AFgqoqIL/rOgcM4ACD5BX2Qddp4UF1bR3dbc+iCdViid4DQNEsadQvuc2tgRpaPMMufQEFLULUoWN2QMxyphCxIdLwicEw/MktYRUyLSM1uiOZnFEXwQ+voQwWYNrQIR558hQfgJDuyOOkAaQu3RnAwlTZRB7YgQkdoN7fVd37cIwsmZqmkZLUwNKqLQLyTgFCWBOP/dxschG/TdGb0QVCnQCENYzgYABs4WCm7ROyCYEApVPwmJOMgkFAdQE1vYdj3N0INkz1saHWGBtYsdrFoda5RU5rXFyH7eSH1d1KNJNjTZvL9l9/Wd1+/M47vBxG4BOA2BWTrkltUKTM/U4xIaC1+dH/94UbgwUQibZYeqQgK2hk2+pfFNgAeglUEhZlEsHlFfwT1L4EtEBAOuUgES5bW75R3MVl0XxOB8oBH5JYX4kQCCZRjbXAlRhl7g4lTN5Tk5AlG3ZV9g1MxhHQigIlLKIhCIpin85lOpAbC6Zl5boiNhElYQJOIpElAnoPvpWMmVgDivzmEvgQGQpOGZJlVOZlF9QGax1Tck1OsMpLFopBEPRDNZGnX90f1GQjJXHBT9TeNCojlOTUvlCkOjoekxAj+iSSnh2jh5RBgxDaekUTN5pewFgSo82BaiUKK4mBLJXe7ExS3FwRAn1JOCzjZOnO9/pBLzEBF9koKW0jA4Kjv+axmrCp1OUZjVOMI819aB5c0p3Vnivcp9e9QUFp0CmE0JH9wQbWYU2KYdQ9jhKx5hU0T+myUjHWDml0wSt0TMAEAigs04panWm6UZ+ZJoaSJUnkFlEqTgThJhSqXQJME9SOqXz9Co2SjqaeZPrVAhbClwYkXxyAKNPEqVUSqVMcKVNgJdS2UhWJ4ycEEHIWXEDJZ2CAGaBwG48UqZm2qLHqZd0OqR+6RJJIAd3Kjhx6hmtQVA7ugSFygTASZUChKJ0iT+Jc6bddKOHOonNwJjk1prZ9AyS+gQSUKSvYW3iN5eHCZt2Cph0aoloxwygWT+T6qgaFwUOpKZ0BV2YM5j/DVAGS5qcfqqj3zVTuEqVjTQWzmEZywB94qGd5PlClOZKCnB44GmQQpM32wmWDFqh6aks6egjHrErXwSiqqYA9WIykhePUzOeFJNSvadUdDd36jpngwY+mfaPuZdK03M27yl8LCV4SnSv6zln0DgKlZc88ro7VwNN/3qtL6U7nZSR/UaGXsemy1enUcBGSQoFRAlZM/CxFKBh0WV1DPBZd/oaaApAOZqZDKScu0aGYEU/Q0qpbZSHL2k5AVepu/ZYOvOxLkCM0VVuxHhsIxuz9XOjTNCkFBiZVlcIbFQIHfuxMEABGQC0LOCSeuVz3/U/KSuntyWzizlzERQAH2cA/zpTtR/rW0PRsi8RE61hdgIwtB2TYXE7A4+Vl6bpQH5pqsHZtkJQthlAASBLjLbQGmz7HTY7tpWjs0ugQGD2BOMluB9LjLfTtUMAuJM7A/MVCiYaZWDbhxgrQcbYuBSrDiWbqwLQM4bbt99RtjpDAVRLuI4Js1HwqH+6Mnxrc5+7k+2ElcA6s0u3QE+Qu0b7c8halP6GnVDgrPAIrah3jTiVTIWneNkqF3SnS0D0DAvKBduZvaq2vSLKL6U2d3jnLrhWkNN0aZQXngVajtR6nogWGwVZav7yr8FURujZvAcrNVvDjx6xvwk5eaMGsKskkLn2BRo4TzTaOsDZP0XrBP/u9m4IdJNyymSXiqUCxDp9Czqda3PvA7w2ybSke7N+FIUUHMHidrUz925cO0dIS2ErC6mg9T5Oa30XC3cli30it0eW+6eNqLt6ibXf9VkgKXKF+xyzo8E9d2yFO7Rnd7sb/Ju1KgeJyrpSB2MZd8TMWhkf5JdhGsOJKwUc98RA/MAeDHfC28HFq7y0Kryiq5k3zKQUBMN9usVIHH3LlnO2YLs3rLjCOqQaDMQ/16QmLMJdoGKrS0h3LMhuW5SUZRnJy4wJ60nNK2d6V5DV2jue9qxSgEo5kEKex45LQEzG80lA9VNPkjzqGL78QlSuRKF4MzG+MzVR6SPBFL0Qo3j/ZZSuerYDt4LLcHMw+dKP6KJG5LrL0vusADw0GjAKCNuuXTSfBAx47PmgWyTEMDcEAuXHbMdOs/Bd1Lc54lw4RgnHR1rGL4yIcLxxwToWaozHICxBhjy7JJylIqxA37c54Ux9IgBanaiEAM0RiTI/GGDGb0yBOfq0M4xs+BzOgCjOHaE5AQ3QLtbD7AwTciABHLmYI3ZwnpuCDg3RRREcY1EDEw3QMUGIMPB++wezRQjFI+zHLruXF3ddHxDS4jzS7bzIYYw/YAyTtdoEKg2IIuBdlXvBZ3pdB4DTIuABMaFAUchG8fwE2xzCcNzBSkvHePsaYwGSNz3OOQ3Ubjyx/2Ntq8F60ShrTpaR1agLbFWAyH6ryIgLWhvNzj8XyZEcMCPqUZWMjNHjS5kcvyl1AwXxzMzckKPGneNbU12DMLfMQ0BTBZcsIldgaQCQUAvxvsp4UclkafeZjwpajhnKnuv4oEXzjJO92d9bkB2Fy9pTv6T9oeEpa+Iq2liAwo+VT5qUsXM0qy+7zkk7up4TrBadtD9t11yNvLSrsWyMumaM1YzbtLHq1l5Q3Fp93Qqt0L+GBhadyMUrOI8DE4TYbCs614qct2ctxqGLWjEcyDDd08LqGlRclCs61cgdxW3MzeosQLsNBdZGcPOMxwYdAOV9f+8s1c1ts1/p3J+F1f9gTMH3TdMErtbY2d9krd8S3rdlDZLRwdYy7AVwDcLeDc/R4c7Kbd/La9s0db5VAEXlaZCvZy5jBKCUvAOJzUUMkwNAdD060AQ0nnjvWVTpqePQw3jK6I7VGz34ycnwO8k/Lh6PjXcms3tDkNq4fCyWNnyoR8lKROW9XK0QC73iyZ9iDo3BjEJ35uWVdy5qJKIS698ZAdYYwYf4PK2iylmxGNzebNUfiOBLUOAY/MfJPcimG3CkOnaoGrwtGd0UXHBmkACBQAHK26X7jcc1jGw42yZRAOjxDeBO2qYI1BofOOLnPegJjtYjHG0alwCfuwQh9Lj3ZQBzDRekLuj47er/622Tx13nUBAc7zzhLzGpxOsEljNGFXjqN1yTUtmYcerhXlrHpj6JGM7rUvDqHQTIuc6pz47QwP3W6Z3hnU7HR2fid/3t5jjJKw4GqeY03pOfL56w1fgHl3wNw1PLFAWuvcwE6y7mv2fAdEbLrcTJ36pM8nnZhz3wKXXjpURrdFc8l61qY+NK1eO/HApR6IJDqfZFw+MvSc7Yky3xv4cwFE/bXTCqrOq1YFVeERQBmRWTUCYBVYbHZY1hc1VuHaNAQerDgY6LfNnVnGWFnAA7z7CirprysApc80zpGMdAV8DyXkBxNMvtlz71Mv+VERBn3s6sHRaa2oxGLgSkCIRx/2KH88oH8+Ae4fiu80Y7lY679We9TlGo4SQw33QuCDkPWjGP9nqP9FU5Ic5u9EU/BFf/p82GcRnM04Vl92Uf8xjXOgKF4meq8kzg9ER/ciY/p9t+3e8d4fi8+DYn+Usw+E8KHqy7MiH0gQIVow9+3FgQ4tl0+i2PRk9C7k9t7ks+yT6kQqWn2PDJRJMHU/niNLgW7z5iUtva16Ocara8oQ9qajL0n8qP48EcNTdOQyIV/Jq8HrnUEJo9sAdlNVMe/SnFVZHN2hxfLx4K8L6vaQzvj+/+NQjZUQwbaMtUzQW5L9TfzM8fkKgHBACcjngLHJGBG1GTdD6TDoEAxXKWpv8EJGcqeLEGEYgAgZxkphTPQGLBbJDY6WsVNsEEleMEMzV4NGRcplKeFtI8RERWkiRWHmX6UFYWG44ODUiSDk80A7jmIlq6MqFMj+QEDhQiLqZQQPb64Mxm47rowizwCk99C6ZOEhcbH1dkZqgoVxomXN4CJEYE4KSpUXHrIh7w9HxPDwXUFBmPJFypSBLC88zQqmQJzacFhFkkRAUYYgMwPS8FlPq2KU0MDTXQXTvioI+qBDJI/YvnRZEIfv0CSvRn7kIfNfdEYdgHUCBJiQHOzKloyZwxiMoiMNuCC4wYMgD1GUTYhRZBccPKRaNnT4KIFiL5hTsRY4CJiAMN4Wr/EAaCgTIBUh1g0eqVFZSDen5ViLEkWU/nEIEcBQsJuxdTbV51p1IRyyMxV9gU4MFYLLT6SEhwOsWbs7Fiw0IlWNbJRih/GQQe3M4s1oyWGStWwuTJDiKfQePQjASAZ9BEcAA4onrJaR07mjgZQmSHaii2AwCgHXt1gM+ifZnWAdxX6de4jwgP/UT3byg5XL/mnZs26B2pnzgfTfrz9NmcA3w/nWP66ui8m0eHfaR1dOLho+vIgRy6e9ytiRuX7xt8kvpG2nPNCPPiW++J1spTLJzEUOqjE3PG6EJCuQKQQkKefLqQsIk0RMGuWi4c6QhgAtJQHyuAsWqxqxKIUEMV/0dr0UQBVAAxLD4OY0dDb7ZDCQ0J2RpxxikYiMAWa6pxpScdL+RxOxwlFLHCGQlQAEQG7JLDgBp9JCVKflKkkJOTvklpxp6sMRHGDLvgMcwV5zJRxDfbCohCIZtEgsRkNBRRAhclhNFMExmEsgss4+yTn79eJHOgPyVs6KYAWpRUQi4bPAzHnugkSS7DTKTgIki7kPTOAEiUkMcJhgzIGws7tDLTG23pUcg1n+j0CYZMrFLIE8rAQkVhT1UMPxzeU+6093obqL7fALDNNvHkSxC+3UzBrbkcnpjNwFOeZfY2IrjtzDrsnEhvOCio1eEG5I54ljZxr63N1iO6c0K42P+EEFDadOW11z/XrkNiiR0CHC7aJHBQ9oYEE95BVoNRY/g3bGUjdzN3l02itB1ykJe8bnGoz9pvZKSsEXowDcAESzEg4EOUOpiioROcDEAQL73wJKUO6HllZiQiGEFSeHCaEQUruShrTCQGYGeGD6bxsMcEHigxDYkMuxGNxHaWcIYOHFWs6KO9+qRVBlKqJoRrkExChoSmmOGFf+Ad6OwukL4rA0sPmC6lpZMgUQsINYTBg5kerLNxzSIYpAsKLAAriQnofiHrx5FIwAQ+NzyCC86fRkKCUSJVnHGN6iHTc9BVZvJCwpGYTABJLnKA7hMqP4xoo/lOOxrUJVTdDOD/sxiFgrIHMuHHLmTunHgiuf76cssBIr31RqZH5AnnL3zrCc8lD73LIXmM4PkpAp/rRuxtLR0K+aFQ/8L2L8HgQSz2397WZ3fwrXsNBFnI+kYB0TVABS4QKghkIAJPdgQE5o2BC3QgA4VQwAMa8BQXzJYHKwgFBIWHg054jREySK8h7CuEUAlDRS7yhKKQ4xQRqEgEnLCpANiQGC1k4AASkABKuSJIPZphDxfIQxHgEIMU9KETlBiUJz5BiUMzYkVkMkUo0vAULxSB8LTohCNmMYw98uIKYkg0cjhxO2O04g65+EMekrERWGwhG82BxTcG4Ix79GEVyxhIQAYyCQES/xghEZlIRS6SkY105CJHeArjlMsX1IrgI0PYNkyizAm8ot0mQRlKUY6SlKU05SlRmUpVrvKJC2PlK2EZS1lOMZLZ0tgsbYVHG6HyHBT4QF4mkzNcDpOYxTTmMZGZTGUuM13MdOYzoUnL/oxrP9HsEat8N8o0CQB0BLikNcEZTnGOk5zlNGcY4TUAH6oTKrps1kDc6criuPOdksRkPON5Ti0e7JLb0ucpNHnKAXBDQsL450ERmlCFLpShDP3maugZ0XiyszgU/QY9LVqcRgIgo6boaENButAgRoCJITXpSVGaUpWuNJQfZY5i6NlKR7p0lDRl6U1xmlOd7pSnPfWprf9sGsagIuGhUxzqaI5aVD46Uqk/depToRpVqU6VqlW16lWxmlWtbpWrXfXqV8EaVrGOlaxlNetZ0ZpWta6VrW1161vhGle5zpWudbWrWmMay7zela999etfARvYdgqWsIU17GERm1hT7jUANaBH3xQbWclOlrKVjWteHQukNFr2kYzl7GfF6lnQjlahqQiePetJ2mWKVrWtdSZrXRtbZOJRDgwQARHBmK2ryhOVsJXtb4EbXOH2KAIdMO4LJgZF43YAubtiQAyEcqJcBte3o6yuIq87XO1ul7uLTIWUrnCoza6MCrnt7lZjmt3zrpe97d1OKiCbhO+a13TTYAB9W6v/Xvful7/9pWsJDNAVU8AXv9GNL0Pzmdh/+XCv+vXvgyHsXvi+Eb7jrW95I5xhDW+Yw2CVwD2EeIoPSyDEIq5agTtcTN6mmMUtdjEvT2zWFb+YxjW28W+tceAb75jHPfaxOa1x3x9r1cFDNvKReeqADFDABTqu0Ayg7OR5SHesRb6XlZGcZS1vuYzftbCWwPuEAVQtubo154xvU1cshzC9a+bym+HMUAIP+LTpqoENaPAAB32ABjaAbkrRHGeEqtfNgjb0eecMhUQ7IVUaYtChb1xoSE86uLBysqXNKzsMDRqeJpU0KD+N2kQWOtAKLPV2Tk1pVWfYlaFe9athHevf/7pa1rW29a1xnWtd75rXvfb1r4EdbGEPm9jFNvaxkZ1sZS+b2c129rOhHW1pT5va1bb2tbGdbW1vm9vd9va3wR1ucY/70IZsKrmLaUl0rzvCEbAAOcpcyM8E8Ny2AiG7NMjmTVIQgQm8V7/zyu8JRnOFjTwYvTRKSHUzcAIdgIEwy8qBDFiN3RX3BSgoYEUAYE5DL7DWsZIVn3X1CADyGnnGQDOyBepnB/IWuQBRbRoBJqxiHlOMsjyD8NV4ht5JUNZrdG7LfJHGNPWW4A383SOTMRI/7fwMJQOJrKUzvFYDbIMFmMfMGlgAEFN0jMXBLl8g5bYGShtvLZHwc+1sR/85pmEWzaWzwPZ8C+7zNjrFXvOtdn1mQKNpzs+h7oS5o0fkgb+ocPqenGlqhud3x7vj79X0gQxekWgfII4ON0A5QNyZaAlzBb8edrAbagqJgRIFYpCAbUz87IsPzw1uUB+EwT7opmiP1IdOHXL1qwgK/E7Pjw574d/ANIbXzO8PORukI0s48b6ofJZfsrV7zDragj4ONCD9mjsdNOgpOskbr0DLE1Ly35BX7VuIdtUsGCoSoAEN/qx586n4Gzm2sAJDD1rIi96kZqIA8XoBTyhuD7ruQFwPCZRPgbQjPfquNQzEASEvYJyFCJyvnQKGN3Ag8RTPXSqoPsSl5Kyjnzz/UDPUhQPT7gAnsOXEDwXDqPwk6TQ0sIymzuZyw5E277XEzL4q0IyaAABSJOv479sk4G3EQRPYgUvMpFhsjwUT8N92jz3mDQlGcANPToJCJmTYCD8wxhS8pTwAIPZCRudag/iA7xRaw/h6ZDYMTwuP44BeAw1vQzjK8Pvwjlzeo2RC5umucD5kQzneDjUA6ONSToWU410Eb/sCIGQKBgGLIPwQMAyfReWkMAcycDmWUAcSJNWQQAY6wAY6sQOEiRM7oAGIB/WgxgSM60dgYLk6IP72YHrER4yMqwImoAX4hAEWZxONqwFk4EfsxhJOpwNy0RxmURc7QASCJnoWYrn8/4AVm0tu8MB7vodPFCf/EInWygobf+q6tPGwSARY9MQPNEEOpMwAMbGDbslWxpBAsCU9YkNeNPD3TsafaAOPptBjhAPhtsU4YM4c4XA01tGE5OPvvskFn+8Nt48OA0DtiGPv7G5gXIMPoTA+mIUhD5FgpqP8nmU6TGYGNyY6JqYEU872PCMTNaPRvCBXZsQA/gwtLEVVkqAG1scPWiZTUGAmpSQcaiZPdGiX8ERDwNEyhgRREMfReGMAUPIpgnDdQAFXBiBCsAQUHs0MmTAde0TylKUH6/Fang7l4o45TIYgJckR8XH6IFID+FGX7vGloKI9ymzptpIqKZAEL6YN9f/jHfmuYT5DVr4Q9vhu+O7j6SrxhOrQXfSyP54F9pqPEcnFL62y6VhuOu4yICeyCLxFYNSFEsNFhFgQKmTg/VCHQVJlaizgRzLPAt7vsd7v/f4BmwQABizAAtCBKPdgfTqABjoAKeqkC07gA2xgEPSgJ+NhSUjBA3oHwybgAT4ga7iJz96vAAHARV5ABJhTAAIwFaYzaDJjKVHN2T6TBu4EANzvAWiAFOVBM8aPMf/xG5puhWKPM8RyXqySK/vxWlBoC/3RFPKRXXpPNwIIj77D8WguHntvIb9S3grR77pjBPlRK+cyXubTQA+J+rYvQCsTOPQDQ/dSCtOxPiTyOyb/Bj8iE+W45e9cTgcmZgGLD+/6MT2vCX52s3FwJOPCS2WcIEI2QFae8jwnIihRogAxYg4mBusQ43KqLhwE5UdaZgDe5pOiIBjij1doNE0O4Ah21H+GqRtXLqe0tIL0SxO78xrNjNN0Khw47xIjSA0HSETr8fv86VjmUzyspR3zzokyVD/NUvfO0T/rkx3RTy67UiD3lOfyJmHWkzm6Iy3vcmOgzkTxsQwhUgMl7wxdrlwolTvAQyETcfvwo/ggpuYU8lInslzc0edcz0WfBEZxokqRYAxwRSghLiVo1AyyYGLM5EyD1EnNAEaFc0GSYDDCIscyjUfxpEZk1S5wZDvD//TaAu6funSAwPSqzBQgq7Ka1BE1WsNKlm4fNUZN04wzR04s+ZMF1+9TwxU/9SVCR6Nk3pNceEPyxJVhcqBdq4UEv28Ev88gNVVCKSgSA4jnas4F/WljKnIu4/VaKClirMURy09gb+lg+ckc929Xs2laHeckbnBXugDKKADK/gbD4oE2oYBEAjCHeNV6cMJJhNPAzMtFYADKYHZDLCRYp0FZ/c7inpWnchahSJZaz5EL1dVYiqA/3ZQ2ls5bFQNp+WNCI9XerLJO49BdQ+g7BkRp0dUrY/AFOUNN8/VBT/Bn0w5SOVTkRs5h4y5b03VP35BEx3bexKULcwNp0Zboqv9pYMdWXFB1NLomKnCFE+4kY2t0KNNmcHYQIzCA81a2V+uBQjCPN4RVhoJmRvRADmj2MriTr3YWp6SSNCavWg8VUDMVPmFQgoL2EkEGDPUwQTb0Ko32ClPXY2RvYlFuPRwwZOg1ZNI0LuFp6Dxw6SKWNDySX5nDNKKv32JjbgmEdg80N+rDSiaJbSsTNMwxPo53msTSbiG0CidSdou0MSzXJGoU4shRBGKTfEXAOIexe8EBS3Oo6mblYi9HwKbswP7iAN4tNtGXSOUg86LLZi8X7MgRxVwud62VdRewHYVDIimzLcl28dRQtOqu+yCyTyUo37jPXiI49xB1eYtj6NT/sGurcFHpth9BkIIn8j3SkmDT1kEnVG41xkO9j2yBw2xJlSw3xly5d2+912m+FxtsFAlmFipWdn56+Ho0BWWDVGWRmGVl6G045wkoNwkSoGaB8H87K3MbCotjKSUwoCZ9AVWVdju+g5IemAr50u0yJoAkEQrV+F9pI4DSBY2zJQcCSHuXQBHd+A2/JXY7OE+Fjnb/lY7rmFxU8I/TSyHbrgkWmD/AdgMFUXvNMfG8dZHp9DWSizIlj+8w9Tqi71IX2FtLdedOtTM1Y4gro04Yw0JYtX1B1hdMeYfLJsjSJopXVewOIwGc2FFIBFdx5JNSwn8VK1qVSYtBja2IGZag//JDJgBIBxgdCxjV1o7nGtCD0VUeoYLn2GVfyxIRT4FQXc6E9fTkpgVv8y6CvLmCDVBsx7I/1A1uRxVekNdiXI843PJuSfdAz9A2/jXx1k7yvmOGC5QxlRcxay49GlKDt7eCdHgxWIcxMO8x6EGYIiCGAmp9ldUaGudKiVMfWOJKcwYTiuUlRDYayuEv5KIpq7jTxNSKseuY7QpKhKEBtkE3JfZAYE/2hO9PL1JhNhJT3UUIiLdb5i2erlZU8ZSbqemQ2mNehw/p0sUSa3Az5hVZiE+T//hdr4/5rJr7Glk5YkPmROP2zPE6LNhAK0YIDsY2KK+nN7BgxPqef7phyP+yYfNlLbM3rJ+uCdhaXUTjMLM2b+vPJSSBEiKAJUIv/8xkOhXhIrBTG3bBOo00m2DZoyIEBUggH0pvN9OBVE5gZpQCKC6sHjxALfQhKfyAKSbjiYnJpVlatmDFZoik9Ro5e93DVizyRENQqK92g/vRj00VqXmbN0xuPOI4T4c7r31hC+duPJoqlKM3NhxyjdlRgqe7Or4ygu8wPiSStjsG70JuP7T5Pz7SNfLj5R4Z8kgkwBQFVewEThhtRzIEdmz0lQunvensTDRbQ0qWQ2IbRORkUeimoJRwlli7tWNrAiI3ID5AEMn6u2v7f7rbK6VWt9twIJ5QnsF5My18IAv/MyKfOk8PEwbxaJJwI8RBwxDtdfFYSIIcxom0T3e5e17wLmHetsWnlzbKzGw5psLlmVsOhsYpNA+RWza0D/I0jW+shH7o5wheByblpnxwgWvcl4hV+1dvpwtKcyyA4QRoIBkagvP25hViiFQkRA3Iq246QHlSerpGzcBXy7DGKILmDpwfqIAu6d5YCuAsaOASCc9zyc8ZpoTwTdAHXafXdGsJXfe4xc8XjpTySolKKpBmaAWczx+O6P4Uw41MYY7cvNOF9iE9XZpm+8MPVTzonJEKXDF+MNRZvdX/KW+xl/6MKRzW3NVt/daJCdY943O3assHHNeBPdhl6XezZdfR/2rJhT3ZlX3Zmb3Znf3ZoT3apX3aqb3arf3asT3btX3bub3bvf3bwT3cxX3cyb3co0kXEoHST+kORvGmGm4GVjmR3v0ZG6kWoQwGImNZGakEYPYEMCDeQelPoIyblueJJG4AL8fhcFWsgghqEiBBGv6Ygugog6jiLf7h9fZlAd7cz6oXO86PGikcfh2Zrq7WoYC+w6iXMT2MXnsKRp6UTEuyOVeRGKWIGQikT37KQ2nrmJmcdlksIIuWAwnLetkrYj5PSlnnOZ6sQKFRSgkYZsDkcQlwbWWhh34PBkHIGOlKGYAG+AzkSakNqDOza6oi3gaYewTZ3zfs7Wvlo1qZUv8CUYrelqcSlnrWhyVXb1V16ccKVghgBfDhAQbh17GxBrze7Y2J6l9U5lN+EMpRi4IM8VOpop/e5hfIGqOBPF0xlCL/nMKBVQdHeIR+pRUaDWZVKF8ANVFzNU0e5fneqzZXii1CnLTUiQDXs3Q4AY4qNxLMZKlskSQADfh3mFz/7RcJ83kQfGNpzKigcJ8pJWT0HUSf7IcJFOJd8SXJiXpyAAaAe19fp0jEi6FABqLxJ6AAFUdxbvzgLYLR4zqpGPfABuS/E2PRdFrg4TJrDnLrZRABCEy2VyNgPCKTRlmn02gJopSY0nERGASzg+I4MDUz0VmzSUVOoFEBEe1iWzL/2ZNHGXCM1gKuUmLCrKEgJE28obAcMTWBHEk8zKzNvKzYVSY2XQmclHWQIEk0VaStMdQdOcBgRfEZgdrYiBl4mKydWd5OiG1YRuSNsRK2AEZ1eGgYAUQ8pK512CotYHneUgeYuGRReEQbTC812TSZKik2mIhhtSUyC2hXWrBTvEw7lEUZhHfAvHQ1PkQB6jCIXBNzmdg0kNCiwwtGaPQdQDJgQZln1ahxiLLLyARAhwAcKaHx0wN0WiYpSTMjC8I+Cz2kGebuSI0OemB4cGhHgpgT3gKIFFChWoJHkVBy1FWDmYEXiC5CjSp1KtWqVq9izap1K9euXr+CDSt27K0C/1GG3pIAQc+aDceQmDVgk20FCVcMDDxiVuiRXHq6IeM4jK0AAm8DDFBDeMbPi3sJC3hGizCDIgHsEh6cAkkNyHj7voHsFslktpXRHFyDAS1HQ09Lj/NLeKPUx4Q/I/PbIbUABg4zUrbcEbIAQICr+qWdBLhpy0dKsx2IGXJEO3EbSx1g++/P7crhYmG3Bq1a0YcDTPDFdmNQ4r778o4yTi+WuXrq+lKxfGSjEOO5YuZTXx49ZURQtMm2XhKd3ZaXYAKgYFIU7wXAXHSWAPddUKxVkqAeCA7GlmFkkViiiSeimKKKK7LYootVRaOJMZYo9oIIim2GRIz3fEDDG0MBl/9jK2JQ4JwENLxyhYAAgISeSShYYF9e7dm41j3YUbPjDB/EEQUBpwRiwQPGfWmEBTTQ4AsBaPbozXC9WQCPFMINhsKNawjpQJgPsFQmYlYKwKV6eRXSGyOTGcAhcCd8IEKUhVFVA5pqwIAmms45qUcHNMCAwXt6RgHlP14+GCigH8zFoVTDfWcEqBCKuYafQK1BAZc0QCLdFfuIIMKgdnCDJVSl2ajecUbU8IoarRqxoxY9/mjEYzbi2Ih6Nsq50QRojiqPpTP+yaMFv+r4F7R8HfhJHri1cpCqV02m3HCHIJGuEcAZ0Oij8tYaZyZFohEiCjRA8R5PoXogwgPYOPj/yV2DNEkrG472WnGBzOlrk5+FhvooFvq9GLLII5Ncsskno7zim/V9QAkSoJ5giwOAAHzEjvwcYYEn8/YjMbMBBEtIaLTtlaMEvlQXwF4CShUj08PVvNeIdxjX8IaVWIlzuALkyLGfwNGrtJdvzYzFQMPhNoCVIEKoAHOqxuVgBC4jB8jPmWqCQJMTzLiWAVOXDVihXw5HOCBJT8WqdWO7WnUravaskDcWWJQhsNJYdfQqRiR2pR2F/nxzzzrfEUXMp9BsWVAGPCMD4oj5h0LPAZvNud8vJCF6zjv35FzZUz/+n1aYzeBgoQwU6DN9Asj9k5UE9KN2FEKiFxq7fB9T/7hEIiRfL3/eE3dCXnEjMXdf6BA9fcrrs9++++/DHz9XMkCGgjcxUg90FCA3G+rsRyTAP8xbHv9yhzk3aMJ3dntQzdBjHGFZIkaIW4v4LtOTn8RIVVdLyRsa6MDCZO8N7DoYYA7GNGmd5V7f+yAKHDKvUbEOGrXjSnIs8aZ3WVAT3Ukh6KongF3UEDm66MMFy8WX0kEIUxdRnAyPlTgxUChTTgTNDysRI9ldjmtJ2It+Aqg+amgubPupYl8mhKkr/m95rMlgEjRXHBxSJSizyhTywEcbbgyESYQgEqYKd5jhrKZDgJijJTTHrpD85S95iVHDaNfAst1NfpKcJCUraf/JS2pFJWwxAMishIEMwCADM5jBMDiEPwxtjo5KtJkOhdabAvmlOqBSDmamWA02slJA80qevRB5xCSUTQAwGOUoKUAgFiaPfMOpoy83shcOGXIaHvoleKIwie7VjYyfA8RpUnLMZvoQiAvUXCRxsUBCfNNA/AnK6+ygjGHOwJgrZKUtoTJLhx3QlaH7ohKsZAB4EvONl8nDCQuZBzFWE5rrwmAKK/G7YxzMg0ZIQAQG0IDzZC4/6IQQL783rRWwACR6RKIwiznMCcGSm6tsDcIioIGIKUGOdhDJFiJgU5uuwKXLawpIOfjKAWkTk0IdKlGLalSUwfQyd/KfG4lDzRj/FXCPHFWeFfP5oFkxsZcDtapjZojCzwQRnODDYXvcg4jCze6ZH9QQf/CorgNOABJ6QChHCHOCA2B0VefcZts+N0Q7hvMyV9gFOa0SVqCylYwbjKAB5FqctlyunhfRajQ/94Z9UtNaTk0hZui6k4NiU3+HrKwaDVo7rYolKCjAqF8Q2suVmQ6vTSorZJiZKSxWYjsC6IQdEqDRmJ5lpHz9C16BitW/HjW5yl0uc5tblaSGJAvdmM4B4uQoD8TJA2dsZSWkh5cEWCmq5ZpiDxGrzqDWEoJVdWLQmChWX5I1VBTDrgUSZorDBsBKQ3HveTcSjYK6UZrDYElQ+9KBEIHQ/7CXtSFypZpYIC64sIXNZqv4S1XgwNFVpOBSrArcP8lWQ6aaraeFc4klN1ZXBNh1VJx4N1UwgvZyAPYFQwuqhHgFQIDi9QoApJdZH7o2lRw5MIETLDE7Wbe+2aVdJAFwjk2KF1S4TcJibWiTIk/tsPh1Lpe77OUvH9W7JABvPqFLT/VO5gATCFVoP9yY8j5oI/ccsXojy1DBpZOq8LXDnG2YZy5+0LZUVSsACXq2C75qx4iJgAUOouhqwNmbHn5QkKvYQ8wQNg/l9LOHdwlYieXPgHtAQ4PpY+OoUHahfN1nPb0oAPVqrptpibEMqam5Cp4ZF1D09FgAIGVs8vq87/8aAKMdrWFtmjnOF5FABBQDvK3Bscq3IHaj1wAy/pYYzNreNre7XTK/eYLQWeKqVFFAv1FHkKuRDuK8dOIXEK/3zi724CnB184PEqDNDHSOFwXXwe1qUX/oDgAA/NJNT8dIokoQd+IW3KFSA5Xe6ru0pre66Yf31ZEAz5Fq02jiT48xw9Tg2fnInSlWYwkADO+Djonin1OLbdR74+N41avy8PBTIhAgpsgvot/PGmqst/j5bfVd8oujLuhgejFwf1wNomN7r96eOtWrbnWrOEAdSRfQuWXdCrq5mRqAylslmPTfNztc2Vv9ZYzgbeeaB8DVQjqYAKLqF0Ku/V0RcCH/OvJkxrhbae7oAFlQugkA4GT5mG4EngT+h2EFT1rtSpB7IwYfWAlXvCq3boxvG5rDug/J80bY+4fzMh1msfO5teQfvrCUbdGmvOtKlADdwIYp2jexkRKrTJMQf56gWcLXeoB5U3s+ckPoBJ+gn6gAWdP4kLdL9KNP/uvjPnsxtDChlpB2HxzfUGxD/OriHz/5py4SuYjApqMqTBfcSAcWMLtgyQf+9ueaxrnl1EoeWAH/GaHlvTLHCyjDGrhdE9XYNLTHAbBABGQCXcmGjfSKTlDJClBbKnTNgBlDDaBD0iSgAjBgqDjEdNiPHwiPDzHTmn2Rb50ADYAUCZrcEqWd/6TdTQd+IIT43zhV3IRVhZVoQ32pzhpwQQ2KUQAmRLMNUMwxQAwQ20EwCwpOTH1NRdspYWkcC+3xnwxAAgrw3wpsl2RJgAC9X/wpnWxowwBIgAV4WMIljAjQzXRQwJiVhqrQXyVMB6QAnfRNRdGkm3zYlC8wzdHkSwsiypSswTwwm5xQT/WJhJ1UVC+s0DIpUcSolg30yCugiSnYRSDC32Tg2v9FXvmBYihSRbKJosjQ1vC5SWhQRvJdBxiZRKihDWTMwH7ZTcS4F5lBBq5FBfnQ00DgImFYBArRhRFBBlo4YXAA0NgRYAG9ioj0zDJJ4D3oRx2qAqkYltRt1N38Iv9bnIHiYN4nQpqEHNE26sEzlMcYEOChAcRs5BZbZF9UUKMiLY9Z0cchuRI6koJOBJOCbJQeRBGoFBn7bZFXodL+0KG7XAXUrFRSEMc4NNVfzJGzDKN5VcIpWpsRhRr4EEeZPKQebIzUoSDSleJIkmRJnswosAUGaF0rKEatzIf+wJyondo0DaOWNdgXRMIH5IHXXURGFNTZAVBLtoPuxZ0JOFZmyYAq3sM8MCQBjB0KKFFRqEY7YIcVsEVxldyUxdyXDIBRsMUHeBxUbNnR3UIC7EgWMICbiEFEfGEV6SBUCNcEXACBoQUAmCVbUIDu/cFUOsEppMYJdMndXEMgGN3/Zw0GAUDBCUmkO/YMUBaSULbDS06AMp4ADvVCnSRPDQJhXjnmLYAKTwKQADkdVEgQGCkjBXBIYhwlFoAlOShlOvzEWLqKeISK8dBc/TnVRnQlguXLMzaYbCoBKZrkcBJncYKFBFSMCCRfG1UMF6aIcF3FACRAAsTdFbyjWCBnr4DdVURAxURA2QVAd7JhITXnLYinCCwkPK6AdoZli2QnGwrnirzndiYBsWnnSoknfZJFfkYFdGpec6bnfGbFeaZnVFgOWfiFwu1EedJhc7ZneHonVlBUxaxSNGDAvV3FfD6ocXJoh3poyMSnUFHny3jEhn7oiaIoUZEQUXYFB2Bj/3KZUJ2l6IzSaI3a6KzZSk7F4Y3yaI+2TwI4Sibg3VdY4XIq19wUqI8q6ZIyqSgC4mPJSl416ZRSaVisjD1WaZZq6ZZyqSVNhITMwEt26ZiSqTkRA4uWaZqq6ZqyqVckALN9Z5vK6ZzSaZ3a6Z3iaZ7q6Z7yaZ/66Z8CaqAK6qASaqEa6qEiaqIq6qIyaqM66qNCaqRK6qRSaqVa6qViaqZq6qZyaqd66qeCaqiK6qiSaqma6qSep5HGzwTog/GZCKtKgomuD01BwoWaZIieaq7q6q5a0jneQzC6SA3Ul5Rm48hA43N2BW2JJNXhKq8667NCK8nEIx6yCGZEEYOBI/+KLFNhsk924li0gmu4imueqqERcteLxJqqthGaAKvKYB+3ug9wtkizeii9juu94que0t219d1zecUAHJSsXoS9YkVrhVTwvU/1zeuUEmy+OuzDlqmUvcWOPFs1nKEw1MoHqKucSMEH0EMZGAcnaM03vII4JIEiRFUCLERDIIEMHAQdZJNtKUIHJJ8MsAPMEoQT2OxSFoFCFMNSFCKwYWw6LGT11UBL4gS8UlLDQmzTIoF/Om24liZ6+GOSUhlxvCEhqMeHnJd7sCI/vhelhSBk/hCxchoz7WgrKCPjgIdcEAYtbuR51MBrkl1KIBdMWUg6Ru3e8m3fflkG2aVoEmT/iNWHBSjMMMxKU2FLKmjLA3wADPXIJcqtssxTgmIKcCTNtCxVwEVFu1VICQZAjSgMnoia6XyADUTLykCJffCPE0JJl7TDKmUb3UGJwrwBmkoF0/rt7vJu72oF4KaZfxQgGuQEqWHACa1O67zOAMSOiUaaEUAAIDifoR1bDDVO7OpV23AASzwDzMhM6hAj9OwO3twRP63NU/gYLL4ovm2P0mKF7oof/Pru/NIvcULVvDDvC9bGDOFiRrbRTnLr8+pZ2axW/3CuAT+aX0EIDMlhzglcAcWI+EraI/GHQtJOxY6l9vip/NZvB3tw+e0FApiF+JBWVAyACHQAMcnVcWye/8XSmpm2SkRZBi7l1z1kAAUUk1y5KlDpQaj5E0CNkujVm6RFERMFkwoHMdNJHu1AiAdEgMB+cBRL8RTDCBbYwDjdhYyS2lSuwR9aJ7eGUQCvLxu18No51Q6XiqwkT0e+rRHB0d1tMXts1k8xWTsSIIRoMRXr8R7zsQHPiWBpAe7q3FJa18MwpGf1wQtjK7OAypc0ciNkgr7EySR7QB4z5FW+1R5MMou1WLnEJPgplnxNcpKJKXAOpjz2cSqrch87y7X9W+fSzAEGD2gmshIL0qRhRpHQcL9Zspn6RKKFpjSE6BzWMUX2GaSt7ydsbsV+KAcTnDOvcjRLs/y8Cm3Ikf/ZyuBbsfBvleXLyejrxYgH5IHEjWbiHFPCOcfKxRvGycs5BdvIYZ+sErC6cig0JxU0T3M+63PI0J3R+IL/3vKsIIo32N4n0Ccv6lrkNWOBFZ4STYB+JjS9LF4/NHQbbScxUyRDbsR06N0qlTESJMD1KZ1Y4PPUxSfU7nNKq7SL7IUsRICVxCTGsQH8rd+xyEYpmKEFuECrqKF2GvQVesR6Oqdmge7ahWGzeYrVbnHYvIk/m44HwJ8RXitGs5S8IBeVkMAhWuDiRKYPqhMjEpsvLOtKk3VZg+q0lvMeeoaDLDRk3WM+1qPXIgFzXOslr6IdJNu8OMfq8Osdw3U9EmX/1AWVsxwlDsHWEbVHkWGAIJt1Yzs2p/pqFLQrNagsW7zAP9hYemySZZ4Umx1B3jImAkWeQqRkKdwCdLVWWlnjZUDmTHycArdzgSWlXzPl54gHWuABYQjCYz9XSfP2b8tpqmLFe1rte8aptAKoicynUm/FeR53VUyoT3MFSjOpbwP3dWN3dmv3dnN3d3v3d4N3eIv3eJN3eZv3eaN3eqv3erN3e7v3e8N3fMv3fNN3fdv3feN3fuv3fvN3f/v3fwN4gAv4gBN4gV+3dRt4git4qE5ngzu4gw/AQG3BM6fIgydAhP9pemQAhoqFCcDAFHwFq8IAGjsXq6LmgqM4oC4m/2QgAKsgODWIhMDQs4oIK7i8CMd40EdLxRmSTkJiwVhnhTpnhcKCGZGnDI/3coorOVHpVoMMB4fj9VacIiJPNzxeQV2zyMpQjyExdtORuE8BOVYIecFiAAYM6bZ1xAyEechw35K7+XJJiqWMysBYigU0gLwGZ3OjyZm861WUNCBeJ3iSCMdgb/Bg6WRRa+fGYImMeYay69U5Ag1MNvu0+Ztb+nKVGBMNwABsqHV3nqBRd5QHxmlTA8BigFa2CKFzbglLxWJBbaiX14WXCA0jK55W+qXjelFlulJci9DqwUpm6Av7LDSFQpMwgY3YB2+xJEM8xd40QUTUgz40QxmMLP96DG1LtNFCiMLQuvbIYQCBvSOr5zZLAMMXNEFowAAn2J1iyEUfvcELwK4s9EGMBITujfsq/A8N+ywMTHolKELJtmtN1EnxVkU5yIBJtAET2MBPgEFfsvbP+kJTJE85jIkUWAQAKHzJvovNOoFXgrjWykqzFQNVvBMBOoMXUEQHoHsH5INFmLsZ5HrMr+qL0iTbIstKsIUuBjvTCXb65OI0uFFUWY5F/nUAMEjO2x0khJJpzDhQnQAzkIeqGQF0kIJloDXp0oQ41q0PmQd8FGMSUP3fsdIRuREtU0MBHCXegbb+Imxc2Md/ILRonY1TAU+TY4FF2IaZ19ptMCOCubX/lRNHdVy99NXhl8v84avIlr2JAUCJGnASD8OAv/zxcAMwWWa0s2AXOrxjqtXOtjwuIDDKt7yFE/YgOniQqm+KTWC5Ap+ACCie1L+KqMhKzqCJL2yKpbiJTGAXM9QModuJYqCFjwXKuKxBXsR+h9mhAVcAALgRVE4FSMgA5XqYCMZJSRwhVTiLt0TLHAJfgqzuRfpxvsDuHCULwcyTwEUBl6CDn7ihB1T8+YPRFUhCwqgHyFhAj4xAQFgKDTQGEEhGAmIlcEQmlUtm0/mERqVTatV6xWa1W27X+wWHxWNy2XxGp9XTiUuwWU4yRPixQEwhIXTFcbAXyNsSEkBhQZrA/3hLals8WiAyQDiSI1KhnKNoQHKYKdRIGggp7FsC3CgdaMFjVBQ4QQCg9ACNajQguRMwIsQ9AiSodVCUVCopkjXl8wMUbHQM4CAyDEgUKA74o0PSDT4avp58LJK4mAbhsq5rFSBIBhgQOcSCXD4SIQmA9EXaz692A62eIH1ETvyzpolJo3X9DCLMtCnAMQEKq7lqOMVCDCX1Dhgr8oRQyDUlTZ5EmVLlSpYtXb6EGVPmSYZxFFkM4GBbtYjsvGkhRI2SooY17ew8Ig2aLoL1jCQJOo9RT0Rufl4keeUWCWsoFPTKV47Iv19Zj1B8qqQSTqzerGELINaX0qKKGKCTMP/nYBJdaT0OKSRVS6WMbcHU88rEX5LFACtKzInUY5I9e21Ccyjgo55X4gbyRbpFHchdIgGXnpla9WrWrV2/hh1b9mw2RC8zkEr4m6sZvWfAmKFIaJaoiOYUdbPOKaPknKaBkuCGbdwhwzm5Aj4jQ28iuI0LYADZyi0ECQCpAIvVOsWMaJmAE+CbAvfAPMFLBbCqWF+oQ3x1FYy9zIioSLDBbFPLFRQ8iAAUAJJRAkInllPsGrIK4gdARBAsCLVxLFOruY7MgmSvBEaBJQkBr4jggTl6w4i0tJpIQIIBGqiFNh135LFHH38EMkghszBqqnbYqYMiApfszkArihsKsyL/9xGHEqtqIWSvFfsrBB3SmFySgVLUG3M8N3zRqZ0E/MtHNxVDm8gsJJQEs8m2yuSPSi7/s4q0dXRZcsYDMeMGTBQuTELCJihcosQLG7OGAOYEIqJKDC2titBLGeuMOgvf1DQKEyIBsz05h0Q1VVVXZbVVV18dj8NM63KEIhREsCBXXS3wgAtCvIuyqOMcAjGy+pIi4qPzloAS1Ftz9QBXXHudVVEq3srHPCJiYNM+Uwl1bwlbcbVg2lxFCFYJQIxwlMsURwNVOQI9qQhRLOBdwoSACDTgkias5ZSfJe4QGEOIpOSwsXEKnrXRTx3yJb054YwiTQFgKNeDUcE9FVaP/z8GOWSRRyYZjCIb/q6ONAv7Qqzh3Ex3HA+9ZQeFCGA4lkvrvtnmnSZOHm8OfijqoFsNJ+a4NEVXDsDnBO/jVIBLGPX03TnWkyzZAABJTLRhnZAgglWIuKoKhUeEy+CYMaG04LNR5rTYxU58+CyKoZgsZRlL5rtvv/8GPHAeYYYbqzqOFgPxoLyMk1LN4lVCF5wDYYLuE8SL0hCAjWS5tod7iaTNmyADQCmCeH78sp1DfAyJNT/VZTO2FUpIvM9kNqKS1AftXAlw7qKn7r2PeD1DBB+E+ey3rdS0nkdf+YfqenpfVPgt7d6diT98E1Rw778HP3zxw8e3cHhH6j4Cxv+lWIAA8WxlXCzLtHkjmXrCY4aVJCyO78IHF65SMtC3hAiIp3xLkMXmtoK00AWAbpQ7Ql4soZY5SIpZgKmAolbgpWcQ5HeboAj+kNUOUDyQIBLsV2aeQpEUDuZrSUgA5iQIvCssD3uyS1OGXmg4iD2PYcwrTIks1ZgQSkR31KsQXMRCqEiJxBwdG18UpThFKlaRNkDj4YagoaQXrGAAEbDAHLr3BIJ9YAVgJFBD6HcosaVxQIeSACCmM5JQyYwC0RLBChjYxS9aYAgzwuK1zkQWOg6NQAdQQATm0CUKEqGLIhABCJLBRRL0UYxRSpYGarDIzSyRASSQwMY8pCRERuD/icNh1P0wFwUJrMCVMhDOCkRQwLNgoAMM+uIpsmDDnBDjAAOQwZLEQTh8KQ96SGjlK2OZR4kYUwDikGBFovXEOk6oO140pRuNJIAXQDKSSqDjGK04TnKW05znTJyIkLTOARHIFeJsQgFcIYB5zgBRdGKSvOo0MyQoZRcK3BcRKMC4etQJkLKqAgDeYiklYUNbdeLIwMCUQfstiV4ksUadcAIfJhFgTA8Fk7+O4qElli0KujBAnYCHT2FmgWCYQuZpmJSiLK7tpQGrEqBSyiTv3JRYVeJoPmO1T00BikCCIoQn4IlOpjbVqU8lJxaJucMAyGBy83qB/6AQgQ4Yyl4B/xDlK8JIqRPQYJ4CoNYS0qSJzQWAq/O0jgwC6sgLBVIKCnVDsZYIogQ8wJ31SpTrXBSopiFBrksywAyyaiUDvKCrBEIB5hTJpAPkiHh+5RcFEKWUg06QCgWtU2IccFXIwvSzx/wZaV+wCssQU53SkBtqo0FUUsw2tgWLwGlQgNkZ/Q8KDqCmWKnqQBNclJ8P5CdUlbtc5jb3qRHwZgS08EVv6hFskFyBZQt1EAl4c31KoIsXoAtJ6caku9gVb3SdAIDxWpcJ4xXBKpFZXZkkAL7yHYN9IYlf2CQgAaAIF4vQ61wCF9jAB0awTCAxA9PGQWgNTnCEYTIAy9JvqRLGcP+GNbxhDmPBpzTCFWAs2GESn+QYt4xAbs9RYha32MUvLvCHF8IkCMPYxllgaThuvGMe99jHfmuXEzLKgBr/2MhqhcFZO/DVIzfZyU+GcpSlvKov0nLKV8ZylrW8ZS532ctfBnOYxTxmMpfZzGdGc5rVvGY2t9nNb4ZznOU8ZzrX2c53xnOe9bxnPvfZz38GdKAFPWhCF9rQKJnACGYgOyH5V7uVS8CbfIMBJJbEPNyZgWbj0IFF/ygB5IrvdXO1gjIdQRbd5ZUISg2VPOaRCglwEgBQ7QFSn2ECnH7BqmcyAEcPotXuZRYko6VrJfg30u89F3/jIq1QNwGM0cpuKIz/PW1j54jX1J52F679aLficZW37jQrwbhfJ9g32VHY9hL0y6vsKqq4n4QCtqtdbOh6wALRVsIAJJCAa1O7CQOwAAwEHu4rzLrWWzB3uZQthe7KEtjl9q8W1n3vR/db3uoGo8Kv63CRMHvh/h0AGoy9b2OHHAkWx7Z2z8urVcp72o/OeLOjwIEZRBac5Do4FwA+AoFTgNGCO2ATJJArJiOhBrzithoQl8S04LPSa1hiJGAadDUcnRZcMIErduo+tcj0Gmlt5zV+fgRYEkERXIfCBKYhlRqQ9utMGLoFii6Frnx3JktcnQQe8M4mlJ1AaGfMWQ0AdnERQ1ATCG4hvpr1/46WOtFml3qhiAo8tdMWqXuHIjJPKRjE87SuCM1XnZacL+O2g78jedlpPIGBwUdOx2AbwU6FSokLnPXtiKBtcumnTStkfZ4GGDsVGL8kwFvB72RTtpIuvJBFIhbsz6iTAWYUVrLZ6/imZwL120Fs5Zshx50a6T5R4CXtt+N5RB0/Irx+qJMKj/rA1zkgeO89hrQVaUsVCw21YP8n5O1no0OmaNmYp1MDYIKkbmEdAgyDBDAH/cMCDtgp48IJ3QETRjOqJSG88rM5MtKaCEq8oxKXzKM7O2GNgko/RBgbEAw9Q1mfCzykn2m+zgKT6QAtAnFA6COs8AutQ6g8okqLCf9IQRHsEEbCJCaZwOFyvTqxpyTwJ57Cr30gQqyok4bgpQjyOt7LqFLJFB9UKwJ5ARqgAcKTAhfUHytoQgPYqemQAg20O+YRwoWwPXpZhyw0qH7aJ7bQQMypwe5oQwpcPi34PoEhQxuch0EEkUFcuyIMk4VTmEEMPiqwmA6gARsQQ8Cxq+ERuupowzRYC2XzP3aSCYKxl0sEA0VZHBdCvgFgPAPQJ7TSgDh6CNThJhCARdnKqA2IAL/rHOShCk/pJhaQgUXamQC7FzfQnDHgvyngqOF4HSbpHt15AehyBRzyQlocm2LhDBXMBkA4gRgYgE0KDSUhgDMSgRYYjiUavBT/C6O0qAEwBEMLoIGxcoShe0d3xCzLEALZE8FlnAf6OQEvAkdooDrGaKxZQiOyqYWMcp8E0MX3WJKXcQEUuLcUOw2RqkJPmYEPcEcwjCiAgAFao0gC8Rd63EgauEZ7oYjTsQKLeQFaRKm5Y77qA6YYqYKMeoEGaEgmkL/ksgVbmsibEckIgseSvMeDMT1gWqQ5dIVozEnsaQdyNEcn2Zoc3D8noAgCGMp3hIwIKMl4DAjlOIFuSrEHoJef4MqStIAnqgP6oQBvDEgkEkVZbEkJGJsfogJiJB8RGQAKawK8zLfqIDY0UIpHnJ2vIpw08K3+Ex4g8gO+TIPX6ZoosBZb/5GKEji7CBoFkvIPcdCFDfCtZrDD2pqt1mmCwYQhE7CU3/kuv6zJq5FKU0OCB0nGMKCjnFmiF9iY7lEKr3iQerCIzgQNCAIVbVyo6yDNJSLMxtG0V9vMJ7hKzXOk3ASbzExErIALcLAIeOE32IyQ/ekOiaDMOblMcJKp1QmFdekhWTA58hTNKbAw57wbpRCpKwDObFTJKIAfpBmxKdhNBZAFVQpBqkQ49LRKsnGOnHnOEeoaAI2LJ/oI/sOnP3yCxMTEKSieGksTByw2wBgmYgAqAMy3WojLAKjPshDOK5CGFhofaziAtouEF+jHBeiADggICpjRGY0oB7hRArnRDv/INUpogVvSFyKYgUocgAe40Y4EG72Yu/CCw2pyAJlCpIUIwgWpBfZ6gKsygA5QUrQZRTdoURhIqcZykihdkikFpwfYl7B0Lx2d0Ujo0R9NAq6a0VyTkATlRfDACw6NmqeQsTTxhodSAVnQHRUFJyZNO9YDHlWc0UWCgR7tUhWLBDSNEgqQChmoU3RIBqsikBMgPEztgAZIwbZMKPAiAgvwBGZsgZsEALx8IH+hQH8Zm0uQTUC1LAkiAN7Sov2cyhZKE970LQkh0NlsnMhUt8xMiwRYVRDKvBQdK2BpIsrwrEZ4AXlsvX95EIlJULY5wdC0AGPcRKSRlxMQgQ5QkAv/CYrAZIJWvRviQVZkClJzJYIeHTsgXJJbEtFrmE9w+Inu4jQCoYAPeB8DzRQNBcKLslIHWhbH8CzozFWz6K4WuKiADVdxLbd3xZ79rATgEVS28axfVdcIuhpdnS+JBdgPaENOFSjCY034JAWAydbmRCBj6Zpo5QxDHVJpaow/RUhGaAGtu0moiFcevdHk5BscJD7o+MAc/D4+bBo6XJLCCKeZa1cPlK2nYRkAyEMlKD8B+Ieoo6zq+SGk/TvLKj8R8tjZa5x90lAlOcFJIljUsaDiESn6mYQsqSvXdAzL2MlHdFIOrK1o2qcZaUIbhIy6O4LhS6tazKccQSkw6dJr/6mgjX1NvLQGyzCqj5Cfz8uZDkEARrmeDnkK04mLFLvS2QGBKsMcgCHQnxEo/GrZSKkEoQhdCiHbnv0XaxChbTUWXq0EApjd18yMptgnFf2VBjBdyQQAqlGL78Q9fYwEVuTafbpbcyiYo/m+5Wyc/eTX6QWTYmgEzD3TEXkmqslemLyd97ALyOBdQGUe8X3B0eSF5GUCXfhcszhfqNjJNMoRtAibhZO8+2wktA2s1q1dkhiAQYyYISiW4DU62wO/aii9qM1LyLIAQGihoQQMSdRIGkAIMMQsA+jgMEzI5iOActRGK0xhuHuiGhtAIUNCi5FIzDuSwlKSO7KAn8UGsf+gABsIsaB0GGyUwkK4YAIBKgum4f1UihP4AFzpKnegBBA2iBG+usJaW9yQkGh6is7zkN2UCMbDHwlAEc6lnUR0OhZ+PWtqWA2eho0kCxm2AMyqYftIP1GaEUDpphQk3kj4AAtwBQvKIVLZqZRaB204CN2tXDnREP5ZBDG+2k48UDgAXTjJmzuggHLtVEpl0eEDD0tRlEoQ4qghTNY0ZATQEHYllLzJwlupywxyticasSXa4ieakVJeOnCqB7goKBEWATfAABGqTeRDgkdLgFyGsE/UOzBcpC+cRLBTkhMoFxtwgQV+ZBA9hi0tlySGTtTg4tMJJoGKZtabhMqjhjP/jmQSxd95zRVtFjo5PuYOPLVFmmWMsotDYOQ6uANy7YCdCstSAwdJTudCaGJ2Dr88JhCCaKiVTTtEdYJsmmMHk63QjR2n7KbTiJgxZofLeVoLlkeLSGYaWGZ3rMS/eYYD+J/0xZ6lGgDAXIivDE1jnVqXpZ5yQEMIO0wT/Qlw2GERGxO6JIuNMNVQWZ5bHF7J86hvmAE0JIt8jgUkiAASUBRRaE8mcNsyxY6rugqQAo7Iwx1QAV/hoMUGFIG4BRVedZgyBBVx6gZhUITWEg4FUArp885X6Mi1aqZYtA/8aVreo4iPcGCqVmQ3uAse/mZ8DuidfoVNYJSu+KjMfAGZ/wktDmq+iYrNRPlbuFukBkPlMepr9ZgHxnYdwDicP0aCjbEOOTAu9jPOisBqy+ps0B4R4zodYxZZkghmAoncBUisJRHg2k6buPmqkTjqCGqBf+APpMGGCbAAA2LonKAXCmjtmCKbni5uxxg/Hh5raCAEhaCaCfAA5r5afdjtg17SNEZqgUoyR0pIcI2OiihsyGZB6VaI456F9QHlf9Dpun5dp2w8J7js74Crorts2HagzISDkRAE+uEH8408AAAEGM2fE10YmCRp6YCM7k1r0+jcTAERCdKr08A/Bq4x3r0Mqc2r83uKDAXg5hXqxcSKjUIQD0fxzCgyT8HiAnXaJf8oXNL8DiaZ7WmQCHQUnSPZhwoI3QY17yX4Zp5snDGS8eDcYuEI4S5FaXSWGplhtD0AXxr4ABuYxEn0cjCnlhnahFu+v6eRFKdYEcTwEiEfIUFYbHlmoDrY5YGO31WGpCfS6AtqWMD+BBzvHjL3bI9NC1E6HL2oks1lhNKDKaWYJ7YQ9Nm1uwvk1elRkRi/AMXKlcficR186ABFgaQLMt9x3uophCAHDLuEGEvZcbZQ8Z8xRtHdEs7qaryJYE8369i0lUdr9cO9zBQ18p3QKTvvQPmtdcXkB6bgTl3wl2OAgXik4eyJzZGYTy1qqUzsc90pdDfSXcbBFpk5QTcHZQP/OjvtukhLNMbcUISfa1kVNs+ly2dEsa8YSrqMFYnMrHasvY0A2YnO3ioX8Q05TKJR1NuYQWTIKegVEN5mEToWiLglWAVPELhF0t5ESKnfuCrZ0R0GyBVq+o8K6t4jJ3H2lPAMVx1+dwQKPBUMlo/tIAnpCe/242aw7ktFPrsIMND3lkKO/1Z+GfKuoe8h/AAPCEI6jwSRMu0y/2MsoWWHBA/+ek9Al6iZj8KCyuN5Gu3OtV+htQF5NYtVuAkYqNGlxqg50NCqsoGuhyzGCXqblQD/NDpOMoa0v6oNzLfWdRi79HcY7I6O9/mTK9femI8GkhkDEDhX0N69jwOrwPlF/1gRci6FoM+GwMcA+sBGGaD7tdcevD8CsDf89EatSImAy1zzoy9tIB900S22wPcNwpc/4JgPl0eNGNLflArlDO3DSaRRemJy3E9CbkJhN2Ia6dahvk/Lv7eY7BB84TCQc6/whz6gdveUd0coXYhcKXhVlzWpRiqM6O93IdzD+euhy9BYBPF+gZzs+KgsPjdPZTSIiKLLnn0gApgHJUF6ogJfY2TgfAhdIEiMBAJV4IgMAI6SIYOVjJaIlehxghFspMRtAEsMo6DIJnEWzoargQXmZEQuBAaE9Y50dJGTjAClgDclwMaXRTFkQBIw6BVgEhZJVJcAQWd3NEeYJHEhGf/ppUnA6Vn3lWUQdwSpdVdAdIB3ddggy0gVpSfwovTlB3gE0PkZ5gVGEIj0unmX8EB0UntLF8PUQkSgEaDLO/uXjBfhAitHFLcExgASnAQAwLGH5+ApEGs1QUQhfTeneDdYCA8rYqa+0Pt0YtE2aNUCSLgmINsRgLImjEMkIOG0LZUulWN25aAkjfLo2YuCT4C+XAytYdPWRwAMGCoXNcqEjRQdEh1PYGqDi48fYhqHEVtTcVzBKMtOykqgKZorclGMEttys5cZf0fgHTU16KiAJ1H6KbSFNq3atWzbrgXj6FSrJBRlmSF7z0/cAJZAttUFDM+AvgHvwL03bsMSJFn/vRZmSQTGBxEins0tu/NelrgxjW3mcvnLEEkSOQ0Z4zaJphRJYvoDsxKJ17gORqsU4WQdmDCsN0IOjCcdmX9BUeoFbWyogWKmYYmwAP25BwsKzarOPAH69OnQu1tYEWAZDBs2OsBAI6DDi32Mi3vjPXHP4nlhKOAeC2J3+fLjZHbwgIQzkbzAChurNSeAHbCxl1VrfizFTzyy1KVMZOR10EEYGK4TgDMYLLeLDEFZFFEUhMkymAAYGEhEb1f4oZEmFJBnA01EdGADe+0ARkY/P31BBAocGpaFkLLwaIUme2HGVRSOpRWBbfblFkCKy70QXSmYHChUZgE8GZwaLcbX/0pMAtBow1AU/FdlXwZgaYEI9PxohQNZ4HVdaEcs46Iv2IkpQG9ZaeLUViToR2N/MHRQRYp0YOnBfaaYUY8F3Hl31h0QPeYanYKdaFxGnnb4gJgviLjJIKOUkUimtU0yJX7ToECZd9El6WVquu7Ka6+hcnYcXe5ZYQZqmv0xHFBNsuXoY0kgacthKI1jLJleDNInrvU4qOeeGWX6YmjSCidstwNEYMFBqjBxWrJu9bWuodtkUZq1ViTAQgJyGWkmsjgFmkRHflkBQDpDWkFha0UmmxUYCelSRIAhfIuWdeX4E5ZYW2gi1rJkFtZvYHxaMUC+X1CbH6BXRTGABAloM//Hiv8GZIZGMalT7pKs1EssPesSN/AyHf/YcgKBLMMGidWGZ44toFqSSnMaQSTWDOC2RgRemgR0jDYEF1ykjlj7q1PEslgMWrZ2mQwGv35QkKl1AMDbHFfYJhUGMv/Gstskn2wRE9zXkRRckO4a9TNfRPw4zGtDfeMtwED5ZWjfRwF+Uaav+JPAxIS3tbUVO3uNFgBIix4k6SS7rM3pDTrU6r1sF7mOLksuhqvHvu7Oe+8KixtsHlTh0ZHgeam0z1ZEt5DBDDM4uxDZeIAa7S/ghBvbv4IGeT2Tmb4u27BycfbZycjnqXYS1B/ROcVHZkCBCwS4u77y0QPnmyyzsT//8eLsj7YuaOFhCRKIgNieNbzfZW9yvWkbFGS0D6ThLkLLsk7G6IAe5phgBhSYyUz6IxMGXC1hHXITJoTQNP3tYQIj6KAHKSCmDDilKjBSiKp0MqlE/Ah87RsYaBhwwHIVZoMenEkGZ4CCqzFhKAoJXAPcAYD26S4Jp1Mc5XT4iBlkAAYuBCEMRIg3I7VhOU4Bn5MkhATcte1g08CZLDanxEHgTy37G1/dFFK/IfiETHMM0Gj22CEAfoGLRYRBDPlWPna5Lzi/0JEc2WhFmsUOhaL6Xwpfp7wJmOc8HlSDAWRoR1Z5KXRuaRydegi9qQwMlWuRQH8W0TZwdMoWdXTg/1rQ5rtc6nJXnfndXo6BlmWMajeFGAQQEeTDyKVSLm60BQo/16H+uUgCD4oDNYcVAQ5tDhPCGM2SpjHDUIbLCwIrxDXN5hAFuCN8PtymLcIixo+s6gi6eM044KA+NOZCDarwCgXIMIgFVtEWEqABDTygOpQkMmB9meZQ4nAzKFCqNMbUkQTAg5PPWSwBBZRAAwqYgAiENALamKA3AGHSj1nBnyxYQkXvsAQ7pTBCyQxQX+YZE8IFVBpKktiYnkULpyVQEOI7HgO6x9CcvMdFujimBETQPQcMhQ3LmOe8cjWtbywmAldbRmAgeARH9YaroZoLWZnCPRMNNXdKPGdhsv/Jjn2mEJhIYAVJqopA97k1CnD9Uj4Amo8gTq4QdF1FGBRy1iRAZI59CSfTSpQHVCjEK3jZabh0mrUgklIuVmWF3TLbCyZgNAErSKhXPKaLBTIBqpAZWGoFm1TINq6fk1AiPcNgzdGwYZ0BMGA7lGXbXQp3uMcin57M9ALKiEBHAIhKpESAUbkQAaEyGMoMKZXMdMB2ZGpZBgW2I42wHEABEaBHteCRhRdE4FzX2FLWVnAuG3VLusm11Dh92R5YkJceeGnCm1bAAgl49iyLkdFzo5tf6ZEpIitIwAbTSikDeIAFEegLOgtAgQ+sIAKWiQjpdkOACNSAOYYYC2y90cz/4+1CufsQ734NFy4x7qY3RvlugCNwDTfiEpe6MhgnHmDQ0aDAoDSQBohFjJ64LOAEGuZw3hKapyospg+0isB9Zjo3hgxABmo4yW5eQGGIQLOnFYHRqBxC5Aylh8hBXKMh/rOCGthGFX07gAZqYN0ruGAGyd0w1WITFgKsQAIWUEMfTzqkV8DgOyuwgHxdxLEkPgQaCnlFBxj9gP7cVSZxWsGVJdclCFHQthwD87ks8ZNXTMbJLwlXPQLc4c9iY9BcTmtXwrCeUxfkyCPWJ2ZAglxYh4Eritawpx+tUI8gLG+0NnQyeK2GuCzjBDHYcpfPVhwSvVoCHCMJpU4w4QK2/wADOMNChj3gaQsviczT4jN0cVwfHbHbOFX+tCo0YYBqD4RwGG5yh+sVlhfANwImoMljeEzchCtcWlfwtdCQUtYwuNFykUCBRW3jLC6FycRvURkbBPaJeFk4Ert+3N/w8HBZMRxIlwG5JFSBXdKklOLHLJeC2xQJMS1Fpiur0CcsHgVWACqeDFRLSohuhZSDxOWRaMi+hjSIqBXM5JFwozsvdma2uJkPYklQXYlBdKVz/I3uofh0Ix6JBXJMEjM0U+KS4BWe/Y4gZ966dCXBNZVNouYpIYgqHPUJUf8unmLHBjgKDxLEFyLlYtIb3Ftti6sTa+TD/gnVqs6etUuiIP+A3zzjKD+Jn3i24pCMcp4IUmmxOJ6dcg8r6EOfhIGQnlufUK3pfX6Un2j7E+UW09B15HbDdOxnrnn73SNBM5GQPNVgl7dYHiN5hUufuL3s0pKckcFkRqniZCARAWzzB7H10IdOtAWh2jIB+S79GZ40XtCp3oF9OMAFOrdA8ESXQdSQCFihEVDVMzUAC5B9dDBeBNNbIyAmSxM9N1clJqBz6QEu2xcJM3AAEyQDIEQEYHYHtZY37LEgRvcL7hIF2Id8AdNh+fAjMYE/eOUSOfdd5aBRi8RL1kN7KvM5HKgiQCcsIJKBIvhrUsYElEdtMwd+6SE2DkhyAAIaChhbqbT/eyNhWyoIDhJAeRRQDWrkBy8AfjroEJcnBuAyAEhYccHlJ8BRXUSACgJAgaozBydAAxjgSUD4CGooCUmEOzKgfpNgZxPESmgBD9AUdDn3B1D3IQPiLv6Ha9fQJGH4gEl0B2KoIeyBgxFxYpvVIeM2IM/AFXgYeHY2guvDMrIXJFcziQQgNixEGrBliQnghS/wDJ8zaWkgE0o4AZ6gMgW4hD74EHrniL/hgw4hhE4nShpyDe5XAipDAKV3gSPxAlfThmQ4fdEojb2zf71FGQgGOmvFLVLhO091jbZwLtd4QFYGXdPojeWIB+e4AkglXCHFYnahXKV1B+FIGbCljtri/1jSd4+2gDsptVriqHD+6Cv7SDLkuFwD6WnQBWWcoFzBRY/yOI27c1HXuJBJQI7YWAbKJQK/2CEGeWJo4Y4USVDKVXoR4JH+GJIKKY0PCUn0eJDp+I5P4ZHgaJClR5C7co6ClZIQySspKVg3SSwxmRb+mJNooY5iU0DxyI5tcY4biZAiGQ7fKBgGyZFHYJAREJFZqZXTV329ck3ciAfwQIFbSZZlaZa7RE0c9JFnyZZt6ZZvCZdxKZdzSZd1aZd3iZd5qZdnuXK8EgErcGIXtQKlt5eFaZho8ZdreZiLyZiN6ZiPCZmRKZmTSZmVaZh9aZmZqZmbyZmd6ZmfCZqhKf+ao0mapXk832Saqamaq8maremarwmbsSmbs0mbtWmbt4mbuambu8mbvembvwmcwSmcw0mcxWmcx4mcyamcy8mczemczwmd0Smd00md1Wmd14md2amd28md3emd3wme4Sme40me5Wme54me6ame68me7eme7wmf8Smf8+mekCB4w7V2TJgWlORr4eN+9AmgASqgSRCOkbKOrTECY2mWHIBEinmXLEQB+SgQi+KglLlBYCSNBQcDwpicUphLCfAyNKWGKdZKIoGa0XOiYWVlcQKNA+qiL1qdHMiDpugNKZoahEYd2ThFc1kDlrKQmBl5H9KicYmjQ0p290lcA6WcmmD/fLy0MLmDbhjZSiuAKinaF2cmASeIDRUKo13qpcSpeZV3X75DQhWDVXU5DCQ6pmtRAAaAAVlHl3fDKwiXcJaInNekn3OqjXTqFtV4JP3JCDzIfV9KqIWanDwnaAVkAuPQRAu1O2VqfmcaBQKplXdRekAqCzJAAx9QlXMJqWwBR9OopMjJChLaY0HFVrvjp+moRwc0CB7QAPBWVIZKq7Wam/uDOwkgAhwiLQMwABXJFp9KoF4TqniJQofWq786l5QarLN6S16irApnp8bZQ3CaGl6Rj5pgpNGSGH5YVA7giT63TLZKruXamtF3LAdQAzbyJskiAxiSKSagHrUQgBgy/xSLgiEdwKGLmg8egEtZ+jgoIHrzClPy2gEk8BD/sa641ql1kq+okK/q8Wx6sbA9WBUtgCbrcQdZCkJ8JqVG2QIKK18vAEkOIF8GgItVsgA4oigRy6GcCA1KCIMioGZ/cDVZmgVoILB3IIH69YNlELL6eqMPkEEnIHD3gImPIjbvGn9nmIEfFbIvkFAOgCE0c3k0erH/EYsqIbPo5wetx7Qc+gjwurE1hAfPaAVM2wAdZoXB0a3VA1lpMaogqx7uokkdYKrmqrd7a5fTSnufUC+vAEjeMikXIKh4hwQDUHhNUot+A3HoigRQcyh6B3lrcUGSQAG8SrkeNjZ0KHj9Av8KqWF2lTuHvCcNVkEM0+SFXUA6YQp7fKB8Z/d4P5d5QUEpGKp1VKdPNYCB0EAnm1Oza9A44DJQvBt4dDIBaAADVKemaWFG08AzX6lEdRQhgIh4YitO6egJNQe3NcWqM3Vr88W340u+cIlvCFU4YmABJvQRceMlFhBkN2JQH0ADZzEQyWUbXAF4H5AuYWAHkDoMQhIyFlCzTWoYQEYD0EC/BoW+fhIkBIxbP0YeD3I1XiEAkwHBGwCsk+pqf2ABEBE1t/XA/4YE8EsDo9EBRFa/uJdcVANpkTAZ/CUNjmIA/GsbPwExKGABJPwRVWAUXMgWFozBGcIZ6mt/gUVFaef/imhQBV7RJ9cUG31HAdBhIwv0hCncAeRGmLRUVKZULlZVBnOCbQLgjMPGv0MBxjVqlFgULWrQemiBSWxcvnNMx2zZNwbQARpWVo4AES8cgx4DwKNhDzTcqMrmKIDTn4exG46gcW0xABODrNH2EekDXEmnbFb5sdwqIRpXVV4jU4D8rS1BT6iKb5iwV3LBeX3hCDflyajwE1tDKUjHpv6DBH+ZT7tABmJ1ehsADjkqU8DRIDeVDLrcJZV0BQ3cFnO7N4lLN6gjvv9Sxu5Tfr8CkpLbvdyrdZkTWX+wwXXszd9MXKhSh2fhMPKnVJV8MeACqT7mDVxBvcwEAgH8QDMA/wM2gQvTjKK6Uiw++IGjLL4I5yOqehHyVz45pTnDAqmN/FhxMG+NgUY+Ngyfsykf8QH0kIy7EtAbZ8X00rq2NoL98xPNfDMe+Asfpgbj+qw1pYKaKytVMRpwira/5hRQ4ymYmsQ76hAyvCsDpczg7NM/nUsF0wIDaDbkEi4nsWNnCqm2c0fK1NSWEA2UUgWaoCB3MiQkkrffq58RVWKoiXDL4LENWxF3Mhzj8qT5tReQamHnoUXOExSWSFdKKi9GbS//InFijXKToGEiyHPO49cwJD0KPbv2MNL+LBN+7TzLUS2FvTt+i3Nmg61Ak8aYAYiWGNP4ZaaAmF/Y7Ba/rP8NUMylQC3ao60WT0U1wBATVsVwSQ3KyRTHo3TJsJMZ8JAKi/zI4ecnqv22pdQuRBK3fuLVkkpxKNvNhvG1rfG2XVnX+fUYMUcMLIJO8KwsjBM7fdkgmmcAKF1mmxeu0yAWeOLYZQgFVZpgR/FPJXZoqdHTvlEzV9NDBjw5ZQwhbVjT99cM1kxU3lva9GDPz0za/w3gbYEqr7FQXVmshKvORXVDokQSly3b/qALKQBPqa3GfLDbTOkJW33hq+o9hpHFgvrGbSwuyX3h+cPcPQMLcXIp0FEdsQ0Y6/CvE+M4enLdCLGt9xC8kCdHtWIrIjA4DnmljvITO94d0mFfXd3/O2BSthnRALow2YCxlOmcqhWiOzatSEj6WNrNxdvSP/Ad4F8O5ixjzSu32sacUQnu2mgkL1leNwqiF5bwAjRhAWjQQAXuqEOZ0wxoPpxR4lI+lf1LB16eVXw+F7aE1qDxGAIDjXDN0YMlNVWtYDXeCpaAAem9FucC6GbD1Gnh4MtWDyo4HJuOFsrdK8/bw3PbLJwuqbh04EhOUNu7xev9FtRydHgd5rcO4DS955g9DYUgReCiC44VS6HW4tvSJceUIuiBAJZgIxB1f1b+FJbwn65e4VOOFqCYFhzupySidj8lPMaOVvo9OWUUD+fXJSvRz9rTww6c1WsBKkrTsNoq/+IMgCpOYegibqO5y7ka/TZi88vxvuoyiHCkfiyTXQYbFuWgSgc2Qsm47vA/7QAaC1RMvuvWl18nUU/gQuFxlech7Fde8lLhWxocA0QWHMUFbt8Kf5/afudnTiwtNbtabuEjPhcC41Dgm735BcQOEV2aUHPEHPIfLxF96BAPte7eLehV0T1gYhSP4VswCI0jByFSbQV9Ve2+gkJY3nnfhO2jZu3ozOth6awBUAP0e+P5TWkPr/akPQUY8AIeYJKl0mosfxkQcwAJIM4eg1wk+RH5FobDphA/zBMcU0zFAACI6jVk3vJqYWBSmb0MBwB/uWF9EaWDCTtGC2AC9rp4Dv/cvO5i5ZU1djsUyUUZHFJj4YZjWmzXkiZmpytkCDsQha9foD+IRz85tvfqBkADmW9XQ45rA1dwfsGn5T1HATdwjuYXHO4rg2CqYfG5d7KWAI1VVF1cBNWqkTf2JUpia8/9Pn259VHIxuUIzi2maCWo5hS7my9TA7h6ZlIBwmAS1J7z2SwJE2fnl7Ebh4sL5H/OQBAQDonFCUawIR6TwwREEJUKDLGisDCNVoaTjFbKAGGnSCl36ABHCQondK0iZgXogGTE1lz5QvxagKBoAbBujgqhb0jiKyqFj3Bq5mwJSUkRk49RAGWsb5PTbdAxc4jwhOQqyyDVVOAk0cgSU63/CZPOrhSTg1LX9xc4WHiYuNj4GDlZeZm52fkZOlp6mrrad6LDBayjoevrUsjLNvxiauOBqpUowaRxiwjPTKCjRYBCPcBBe+pgzynkVSs6csJ9W2KQWAQY8lCwKDgugDhw4gpxGfDAHRUDH0QBk3gQYoIFBqbc68Nu37tF9aQggeHB1Qka8gTALOIAhpZ+RRKgK4kvAC9DacwQ1DWgxSSdHYfISBnlxAt8p4BCglpViNMpBgxIXaINXLJIRvnAeWREG4VuuiJ5WLGCCNW4AeGtkBEl7BUoBmIpipSrWC0Ga60VNnwYcWLFixk3dvwYcmRhEkRUFkF42IAIlTH3AVBq/7MIuJhCX5acmHLlFUylpRaNzPWKzvAse+JTevYiy6OpSVihmnWR0hGsDS8sDkVwP+VQXRF64FekKChyZ5JQTkpeIg5mGX5+Gnx48ePJlzd/Hn169evZt3f/PjEvvn2Eat/EKvqUhsISAMzu1x6sohFnPvgMPBDBBBVckMEGHXwQwgglDCYCD1gSoC8iIpBtQl8SEMGCnALpkMQSTTwRxRRVXJHFFl08RApBXsxkgq0ynBHHHHXckcceffwRyPMiMeAA5XakCIYbg1ySySadfBLKKKWcksoqrbwSyyy13JLLLr38EswwxRyTzDLNPBPNNNVck8023XwTzjjlnJPOOv/tvBPPPPXck88+/fwT0EAFHZTQQg09FNFEFV1GOk4cWhTSZ0rYSsBILb0UUx+lm0GM2yywQDQjfdlsM9uuoOw33pAZIIEE/BGC1VZlTYCFVl8lJtZbhUhgs09X0BWa1DwwTRHKQCVWwXYYqPQZEyigwApdZAXWmRJmIAkR2EDkzIgRZoCOMS8osAnICVrIAAYYluVjghFgAEyyCWAYN9N67Q2grbeuaBeMF6i1Dg4poi1CBpoIqA6Y66Jg4NEA6ACkU2IUdrSLPLQwgNxhJHjADHhlyCiKF3IzgaZARN13H7XgyaM5YWqwwIN/fSGkQGuywABedjHorrUIItiL2VL/zAXjBDuY0M4YCT4NGiSkdXQA2yjw25dn8CYA696sLZXrihpoUqqTYCbWAjAT1qDuGOnCJqOQ/YhRmzAm1nCaxgtVWgQ7ooFqVAq0r5HnLD/yqPkXhdd+Ox3D/tJFKAEGs4ZmphWhCIyJqkZm0qF0+ejHAeBg4AMabMjt6PFK1xr1RE9RssYooOUVo8Nndt2Dn11XR24CIigYL2O4C6PhCGgYnngLsKO7lN+na9gLFCxYwWeLBSBLl7F7WSQPCp6PwKcRh8g8EOhFaMHtzd1RWfDExc7Db8QJp2bxTAbwLwrqo4m8GDhO8IAFyuqRMSIIUUbmctaHq0GER3+IWLGG/zcwaQAAgp/5xekeKMEmWfBQGESGBnUBQfB4kEn4KwId2heRmCWsEWiQW+CEkpwAACASj9OY9CimiAQMTkm+kAD9ajgEDHrubjrEzgfMpjlYPSAGGMycDP8gAHD5kIOTo0ng/jA1YAyAfScrhQgHIDNGBdGANHliKaKYHysG44CwEA5vTjeALh6DgIr4TAIGEI7eQaaMz8jjqb4AQPbQ0Y7j2ON5Bpk6wxRSjh304RUQCaRGLkaEXUDC+4ZRCxT4QzoE2EN/6veQTmqoA6F8gaiEYgFtMEwIUcycC4kwABOEsgMOJAIA5GOBL5Rvkd+74y8S0AKRBSCOnpHgfWJhSf8t0ogmTBycOjYmjyRtB5ZSg2UHRkkwEdkjY/iyx/hmMAkUVGVjU+hADh3gDiIpAIPxu0MLOgADB2buA7dsWABkQM0IjMAMHcCHuTrggXbQDkBn9AgSZBTBfX2jBiLqyjzrqU8ivPKXrgxlI2AwTQdiQwodiADWNCS9c4YjlAXERj/pGcoGXAhaxhha3064iAekBAU3auhJzZDSpoRSRBSYJj4a2gEbdKCAM/2Y1EQmgVDaQBsz8KcZZGkuefzSCB2QGgFqIMBHFuqqhqxTJIWwynkSgw7gat3CuiGOlj1MAIHrahhMVYlAMAGVioADvMYm0m8wAZd8YIlahRFMGn3/oWVCeYQEfOZFA36BAiJCQxVbMYG8TcEO4AMDBhYogYCZ41V8kwLhHKuUKWSziFqQoRDi18R1DQEOCNhLXwCAVhtJsiXm6ANXB9pDnQFCk0OgAz5WkQjrgSFwyqscERo3hccxwY/bmYVrNyvLX4SWClLoi2PXkAs6RC0KMxgYczebIdcmV7dUkCrZKLeGExCmBk+BSoaEqwXkaRW+U8rqMGhbH7G8g5PdjQgS9lOL/xABfHmFFRRQgdevgqRlK7teK1fLBAoceBHSyeEv/EqL5ZGBAiKw2LWqOUEknEAE/HUIYwMAxCh8wALSi8UEhueTjRCvpQ6TwgvGJ4XASWcj/yLAjgxNLAAUqzgNfbNA9/y4uCaWcBMwAEER1bqpA5jywhGBaY3BSFr1CYMiDg2jGZw33umF94wiNEHoLNYB4tGgFRMbV/fG4V/nEfkOeVjgQ9+BYxTvA7y6AJ/2LJCUAvX4x9J1hdRQbAYA1mB4LIHBmTFTAxvQgCXgwCBaZ/ABG3whBUzYiPQ+MF4VSoHPOV0LKMZFsv/GF9V84lp4jViMxT0HaFLmBAgUpr1drjXKRcgcdJADYSHY91R5y9mu92vbXwvAsxiDY5VPZbEnarZvbcWE3EgAAZJwgcSajoWJ8zK/UPChFicY2O9kOKRYgEKFk/gzHMBBh9zmY5J9+f/LxGQHzN617t3afMWKG0GQA46jhcGhLTDQSgEad+bfSvhMJG58ZX0DpcK6dNxa/NtuPQjhd/NZRSo0WI8ZJCISLRPHaHVosTYsAs3hUPe22c1qkSOB5MV+r8xzCUHpdDgAFiABcostCCaACw4dRgop7D3xFypv5i4CodKZMcj5Kubpwmw6NKKuoqq7QqDqNMZYkONt/PB8LJnLC/jm7IcvHFfEn7CY/e5Qjp3R9exllacqtJDnYETcKka3MqFF0L0x/jUgxvxDc4AdDpibaofG3jtfx7L3sIj92BCB6xjuM5W7ReIDJj+wkZmjjkhc4jPATiMzsVOVgRfuslKAjgT/HUyYWgCQq6vGdc60TodLbCLB+uZCEblwNQxAR4FjiMQYVxsMwSCs8MWO2PCJUHy3zpyCo/i2EQzyEeunBTPI3QPDUyljBKa6MEs30NWLQH4GmV9BtNV6MeiAgN4q7OsEdcAkBAH5IkigfwngAy4MP+s+CEbadiUCBqABgIX/iq3eSooG3KGE+uraMkEoCGdIjKKIYk6KooAETEwFSOwA0+eMFCauigAODAAG0GUGKKBj9i4X8I1tciHb0k7iwIFvHizY6ML77CB+PuN0DigEZWxqLOj0gEEGYAC7AsEf4Ip5kODZHE72ig5enmDfAOyODEwKm+B3oGOVFOB0tK4J/0uB2BShA9sOA1Ww+5qQc6btcliNr/pPCVpHCf5ACZRnXrqpm5YHCgnH/upE/IxhD8HPT2iLDtaQvqLABmYB/lKhdVCAZVIhD3WhFjaA9W6JKSworBLp/3YJOYzkM/zr737hM/CuClstEgjAgiZmwqiGLizphhKHZjJk8PAh8QSsiQABZ/aOLFqnU1pRwb6Oo2Jw0CDrCiyJBbooc2APESxI+3puhKiAIIDQ4YoBdtxBhfqoabDO8gQA4qqsiTLE/qKv6N6QGq+LBGrhLHrrECgpE0AxvCggQ1axZXQR627EG9lFgKQvZ0pHYd4wD5RAstZADKqIG2/NDwdSTupLIP8RJwy6ASCLzcZwLelYDQZsQCKvyQagyhuyRRjogAEk8qcyyiKDEQaHQR2LrtX0LQUkCABIzHwSBwoFIAYAAj+4SiXTRxad7VNuEmZ0zsoI5/hkLPcSL/4QKA81K/f0bQ3QR/YScQy8ca6uIAglpuVkLSwoKPbGsArpau2q8BIOaOx6B4jUQnoqgBc+bictT6BKQSgKiAx+EiDekQmf8Qwv0Gm6MICaAA7jrAlWCURyci9FAC+/zBcJUjCDAf16hLa8Chkaxd9gTu76RhQCkeDAwLOesYjyLTILwSpfyAhyLQA+xDIaACX5QB3nj+js0YeAUnKKbWqKcZl0bxddkX3/DoyTZiBotE4ccisMF5IKA1PflAAOTs4PeEhqpIAgbBMhem0uzpIufac7oo8qMXLhbFDi6Mo/8KEbQ/Ibj80ALGAGYKAeXgAKkPItz7L7RLM0884FLSYWqlKg5vGgvq8sb0sf7XIf8+EgFaxlPvE++6QwEaQ/G+Q/1YS2xAED2M74Tq0YN8k/pmYVATMNMqCbWGkInKUE04UCPEtd8KFB1RIpunMGyqab0iVd9sEAKOC0NNOt5mysSlLXmE15Vu8KGlFh1GhzJinNaCgmo2CMDgh9doXAsCIM826M7I9mdhSxGrNHTXLQeq8Rnqh19gcnI23vhnQKkaBHF3IUyNN3/6pU8gTIr9wRKGqhE29wLmxBHJKU++AN2QJBDZTCGMPsGb1wOkSF+S6y3MYTKNxTFuBTm8gTH+vzLnezD8Lw8wwlQOVrML/oLD8n+2KsehrhLJqIhVznUTInSUkyAWdJ+YLjdy4VHoSt/FCRAToiAkhAg+BAQuuS2a7yPZ1ocr7AiiwVYahPOiULP2qhR4XCMvs0h5aoG0qRNyIBfUzsLHCVMHR1kyyGivptSXHNAAgi+SKCrPSNx5pS1jTHV50yTj2kBZwrKs8QACgoD5UnTwmKDypzERrhEvJrWT+JcipAAlJiCa0IhrYVE9BNONYiWyPv3UQoOtuzHg+LT0/vI//u0mAtBl4iwBPQ1ez2M1GH4VA7KGLJyBITo5BC84IURzph6xU8oAG4x3EC8BakoHb0B3cMLQK85iDJztdAouy8D3lmUS274JRsIwucRzSMpyFBgtk25tHGCwWIpzGjYHge7dFogDDoQNwG4C4cFhWtaBbxQ81IQCQWbO/GRTWwByr4x39Cdu84gQQkoAU+LM2w45skILQiS/UUIALMtmE6UFgbwMQAY2LkIJPCFg7Qh3JiZqiciIOe0jrKAQY+AHpqwMv8rR4p6EUToGnhshFojFtUVWTuCUHXtm2nwxPyaz4CxijYMzXLVABERjOg4Nx2jGrT1hqTs1z51DfeQgb/vClVMINgDeJgbQF8XmAFNAPKppENPlZ6HvJhg5dLVgfctEApXjZwq6sIQoshpC3AWha26o1ADDR9VtWtDofSpgA4OZZFNW0NEmFFv/ciwcBTLxAP9cs+12B7aVa0bOPfwCBiuCuIaqEIt7clwYAsOnBidAewqqISoe1u5AYMGjA+NeaxaMJyJI9nZhEMlIS57AC6Nmsc7lcLHCgS9kNWwSxD4DFhUk9q+sK/6q4jzDEe99Rp0KoIQ5CEN5M+W1gGK2JCN2syH3JihdeGTyRfVCUcaEhHDUsTUs+56MkMSIIAAtDNoLf/1ldNBWwd6McOyuiAJHQIJXMn9pTZ3lcL/5qjvARAHthxCbwsCrjBI7ThJ7EjwS6XH/4lAjqAIeZJbMmXXAiBAhYQGG/isZxIV3pJC7w4LpBgBc3AAuZUgyBvFWZisyoAGW/JW/qmMxIAemKNGFIsukAtY+LSkh/rHDZ2Vx5gMnMBujbiC8aoJ0QrG10VATuCF3JvOUvhn8wAAw5mO7DDDKr42FRZk+OSuDBTQulSHIAPUOuzKdRrBrxiQmkinkyZYt+jhj1xmW+4UIaEU3KjNH7FGEpDZO+gMtyiYtuDV3bDhw/DNWaVGXBDW1Tjml3jmsn5E3ZjGiIhbGvDhAEgNHQY1z74GLo5ayk2ijSjMpA4lfrQD+C5WP/Y+TT4WTSqQ50jA6AZaaGHwDg0QaCnoZnvJKsa2pk7pFGY+KLNBHD1NBTtdaNDWqRHmj8XpaMDlqRTWqVXmqW1ZIXls6VjWqZnmqYNMwpflU9rWqd3mqd72qd/GqiDWqiHmqiL2qiPGqmTWqmXmqmb2qmfGqqjWqqnmqqr2qqvGquzWqu3mqu72qtV+gZ0QKx1YAe++auBBAfGWqzN+qzb2q2J4TPCWq3ZmhhwwK5xIBPuGq8fRK9xgIMiVq8HSa8b5AZ2oKwNo7B1YK89kRrSeq6PgZ+HZTWKgANMVJwdwwQq6rIVQ1yyiTxSUjRegxicJQOC+DwsaxK6qSjfeqb/5fquiWAH1Fq2FzsYcmC2+cCxxzoH6FoRYpusX0WuZXusDxuufZu4hcC3b1tTgSG4aVsIcCC5xXoHdhu3yVqtc+CRAMC4dcW3efu5b8C5hUGuj4kZXLuDdLsa7Nq2dcC7iYB3tECMd/IUhUGeYcaLlEYnS2HjwiNc03A83rt3hyFI08N60JG1Wzqsj3sIolu5gUG7hVuxiyDBZVvBhyG4jzu4IbzCmXu4LQgAhlu2c4AYMjzCi4DBH5sISFy62frDx/oGZqm7hyG2d+Dq5Lq9i8G8SyHDb1y817oYIvBi+mK/kyElywF5p1MXhtxq/Ds8Ing6Nts022MALAOftPTA/1faxq8AB27gBtZ7B7j8Bsi7CLxcvcf6VVr8ywMgt0W8GFpcui1oy8EczH37xeFarY9bu3NAr9e7xIGBz8c6vGf8roObzZ9bt/0aB3Jgw+UouRU8xoVhxnk8ALK8MHI8E/5czJGB0oXBvzpgBQgLyuQNpCdDzq7ZCXVBBmjgA/yZs1E6u61BbjZgd8wAeJsVPup1ta+cpTddy8W60DNhDx+8xN28zid9xYVArhe9g/jcsA3LtpVdF/6cxi9drMMb2OncscMbvIsgt1+FzvlQtos9ANbbi8poxo+B1y/WGCyd0a/bGngdGKL1Q2z2pt3onvEpVWPUes0DkGguVE8j4P/2zgIzYf2OYY883MEJftRzSddvOMsxSIIcW8SfzrF3YAgIXYLWG68/I7mdGwByAOSxWxHkurANe48qHli6HOStHdmrPdLz2teFIQduYA+yvYMeHeXB/c693ccv/rpp++NBXrpDfuZ1JdGH27ldm8+p+woyXM9xO7ppXsKrnQhCnrYdO7EVPNH1fOl1BeTBW61Z3tjZG6wwEkBOYAXGNgrcCR7YKWOMiqTyIZrEy6eoyQ0kKhvW/qhiaQla4Kck8iPXqZ8SasYOzNSwyQQqEsq/OLqoKmApN7s2QBRGSqTaiQtmSu3twbQxoSX9bQqod7buRmxDqu+fqjNS0u3Ftqb/bGKmOGY6gniKASr0tXRjUiIq6LnhCRLeiUDicVys69zNf/uFzPyF/lzc1Xy4ZSbmj33kf58POt4zfB3Ny53dhcHmdeHRc9yuIVa3qf6FHj0ATrzPc1u4m92HVFwHRL7lQRzQxxzCk17Dp77Pk/tWyH29mQL9xRqdUgnCgUCnywWKxuJNqDkym8yFQFABOI3QKBYbM04wgs2x+y2WvNksAxSQXM7nVNgcNSCYYreAsCwOIHiBAUnVoIPcTBaYEQceQ0OAGEFV4VjBn8DWoNNEhsCJYEAl1kGm01VFkcRIVKNRjYvbSV1YFEobmlooHiZqC97G3hPgpx2nWyIpcrLy/zJzs/MzdLT0NHW19TV2tva2NUCSDnATjhAR9DdOUY7Q+hKA0A7V+PoQk7wOfJU6uPsOfpX7vXBGdqxD50TfkncCmXzToUCaPIOk5O3Yk2QHDn1CblBZBlAHxT0EwaVbdyPjuocBvN1o2PLlEY05cFzcccNIQx0nR1Y0onFnQSP2ZjYsh0SIQZ4CR2r4dhPnvJPr/H0cQjNok28aOh4BwLXKFQMeFlrBYuCDhVd5uHg59ujVBioTaNB4EIWCDbo0xhYx8YGGKgEd9NIYtuZBXk6xinTchAWFhV5RVDAugeWFCD9zDCNjE+WECLtYjjl4bEH0Ws9pnJg4dCrXWQvFIv8xE8OARQDLiJqZWmMLhaMiE7BQsCD7bvCVE9RGGdxBwGrYaGcf0SwAM2o4TaAEcrII0AcRFp675Wb+PPr06tezb+/+PXxmWgfJe/rsXID6CFcqDEAQIzn1TPWVUBvxF9Ag3xjFxEggEZifgQD1xNA980gETUTJjGRfTvMMQdY/7OiDDgAjPSShRPosWNIOVVAkUUhHCaGSf0gxhlUAKvoUYBE4mLgjSDUieIQ8REgIzDc70DiSQR8ZleSD8z1zByAdfLDCSkdc4YlwXlAQnBhuLTfGEQOoggKNTug2BTLccXbHMVdol0oUoxQRSnfL6MZKAJOQCUoUehQxyWKV5Mn/hKGCbPmJGF/W5gUKIHhGgQxRlNdmFBV4JkCk1UXxgkoDtOCFdl1+hkBjfC1qqqN9amHEJK1qKYwThtbhVQARYBkfr736+iuwwQo7rHpSOlFkNOeUeM+yJAFExEU4IEvkVGT1t6w/B9noRIM4PMjUSv89qBGPEG2bSUNIRnWVgcp8tBWP4CrYVX9H/FeFU0ZQgV8A80JFT7/lHkiSkOGM+O8NI60oY1JCZBkwwDKW02w44FJI8DOVuoGCYVfYWYQfiz3CiZhwMUHnbZmsmYybxHQSHAClkdlocmIcynKmR4SSiASKGRbKKSbkvAkGo9AJHKACfBxAyLIo4xgKAHBX/4Ful5JyxQe2EIAbWwLI+lYewDgmBVh1eiqynMEIQFkwN5clwK0PEjs33XXbfTfeebtrrDgCN3OOPg+BK+GzAEzbhNwQN3nPhH0rMUjiit84JJE5JFytuUGim9IRDcFYLzIU54iU6PwO9Li9lMe0Tg799IOV6eECfHDqzt5LbcQdYpz6hLRLri+P2IbDt4wgPt0Cc3OwHUBvZXH5SFtx/InKmVxXsTKmbttmvWN2yuwWnc8nk0AIgDidm6WmomA9+mNMMopu6zuWSPNFQCF+MpBE4EUkVfMWxSGgw74+mYECGZgBAmcAKe55gU/byVlZKPAJPMEABgaEQTFO0TbO3P9pDi9YwQD1JsIRkrCEJjyhOVB3LL/JZyPtGtx/9nO4rshthqBjgj7swwwb3mMiJsnchRynuX8tSHTJeBeE6CGvGTFIheHqx0Ka5SELMYxejyPe4O6xosPpLohJ7InhyvWNND1rciuKXfGqIQERSCYPKuHO+eBoKjFF7whHC+ERsEeKRNmBf9JLhP+MQCe3ZWKQ5wvkmMrjv56tJRSekJkGbTUrOjwKOqrgUiCXcQUsYECDRtCNJVKmvjRNMo5RqAOdLNHJBxISemcwwAGMh8JZ0rKWtrzleoiHu4UtIye9Q52HnjJDZCTpBpaTCS9/5Ixi5qCZrLuB8SgCRPrgCGH/XVFm6NhREpDsh28A2A/v5LYhaZGTnO0YoxV7Qrz9lHGX/6qQEyE2xSF5s15+892/ZOkM3eSpZUbgoyvFRLKTXQADorweBK9GqzAMtGuATJ8g20BJZaRyee1LRCKZ4L8+CAAGDbCFFBYxUX/ab6FPk4MAtJNJZWzSLIaJn3jEYxwPiEAEYTBZ2W52BUEkIDDhmalxLOABDpLUDh1AadhwqdSlMrWpTt3c7gQUsWVScWDtmEcOLNIuZehuigIZ5hHlOc94pjMchiMnMjK0wq127lxFsFg2UVekbrp1dFH9D1nU0TgneMOt7UQjO/HqTonZNVt2HatBYtdOwrU1qgHb/ys1ONpPkzJvofP748nKtz6VJTQTRQ0oZi9qR1W0sgqDfClExbDZT0J0EcXxWi9e4Ac+FfWzpBhToFQSiqXhTGlMowWNvpe/OpaCsvfjafnwp1DlMmEAETjOZJ4q3elSt7p22xdZCzTVZgxFu/7QyJLq6qN+5IBASWid6+YBRRzWFYdM0le/XEdenqz3H4I9QlWpOUTc6cRFfoMrKYwoJG3mC7/x1CtZ0JgVtk6rwKcj2A0dzK8fMuY/LZFWS3jk4CRO7L5vJasup+GHkRp3oZ5ZrWiPkAA/SDATMuNtTt9E3JHNrIFqEA4nSlsFoM1qZq/4WtpcJYBDbKA0CFxLSf91SllkkG8OsuhpdJnBY9x+TLV4tANOi6vk59UPGd/x5B47a90xk7nMZsYGdh2rXV66670ftsm/JhQjfdkDslV4x4PsIctuwZcxX8GzULzVFX0YtipelKoXP6LDJmizRzfMBBIdPY8l6DnOC3bIWiFruDgDQ6/CBJ2COuJp4J0LP2Hc1jCPBLHG5XBy/ZW0Y0OcDAe8IDmD8sIJglNbE1/yExydXgcnWoXhIHm5b2roHKmX0LBwMBNCK/amErHiKJSKkWsTDnNSIAHmfGzXOq7CdyjAtT3Zurca5CfbUgnmIkTA1hmNcY8/sacbC3JXGjVbEyRAyi+fud/+/jfAExT/T5YY8x0vIWUyPHdYYDgpia/mr50R52EiQprPAQb1EE4irQYtWoqH7ldLVASTIkTlJSNfCaHRYY9FV9yJDSIYnxV+MYyg9cGaY1dHGqIkeQKDJw+RucM54iOMDzFJW8HnhzGt86PXy9Cnfnhj9TkIyxgAMxGIwAPMIKjKKjlPv+ZYBAID7Mp2gqYisDcXioGZmtpaVyuIgGY8sIK5qyFMXHl3AL5znQi08dtNGNsLQBABkB4DlAdQwOBpceMmmy9p105yx5aMjDsQIAI1MIPVFEq2knotOKD8oHNNAIPNJxveZclTKk/gARZIgO/QoXfXriMeD6DiAgagAQgl8Gy4/wW8977/PXWJJ8UpfpwUL6+mw7G6kDpHjtR2Rj4Tvgl9xIGOXB5amKH5OtbHVWWee6DC9qVOakxrV65jzSr1PdS47ntIq4jl7/UH/f5/XUhhAWh0Y2/S1a1KaCqPTuMzgBIsDANAJZnTCKAB7AaWncFqIIobeBKV4MEphEloBcC04YHfNcHuGYMRXKAb7ALZbZZu5No/Nd7pnY8ybGACckq5JQOP1V6g7EFLnQGYUeCOmaABckHy3EJxmcVqpNIcjAbwDSERFiEKnYO06Mvx5VczWN+h2QM5kEWdSV3hSFXE6YtGFB+plZdQLCHUjd9+gaFXJd1YfR/KXZ/4jd9S4P/f0EUFgeAKSlQI+q2O+knERXSIF7UhhV3MVARR7NjDnLnTHarXhTwLucwhkcRhGv7dc5wBBrxA5OHPcR3BBp7AcVwKAETAUT1GCCVAa2QBBBbDH0wgsoGNWwzAApjBWaiCA/XZIGygAHzAjCVAG90FZ+iGnUANjSyCJHZCsyGDDKAUAbRgMvBb1xjA8siAC3jBCladYVwWuPnirOCPBNSil9AeX5mAHGzWADxAAM3BWSCcEY4jOZZjr+jcFV5DOU1EzTlVOWkhr6yjeshj6DQfPbpIEtJHO+JjPprHfOxjhdHDPZZfdjHDGtWUCBCjQdbUCiwisQxAAiSABZ4J7C3/w0GKQEWeDEKi3a8AwEVy5HlEAEJGwHp8pEJS1EaKozmuJEu25Db4kkO6pEwKS/P9iqyZUVq130xmgkQegcygyU4GpVAOJVEWpVEeJRGCU4hsF1JS1AgwwJVEgDaKWVNWpVVeJVZmpVZuZTXcpOywGVfCIFJtXViWpVmeJVqmpVoGnFe201p24+jNgeqtJV3WpV3eJV7mpV6aUERe3V7+JWAGpmAOJmEWpmEeJmImpmIuJmM2pmM+JmTipSWcQWRWpmVeJmZmpmYuw2RmwWZ+JmiGpmiOZl52JhaQJmqmpmquJmuypGlGQWvGpmzOJm3W5i29pgDYpm7uJm/2pm+q/wdu/qZwDidxFqdxBkBwHid81KRyNqdzPudQJid0Tid1Vqd16mVwMud1bid3dqd3uuZrfqd4ViWujKd57qZ0nqd6rid7tqdSpad7xqd8zid9Agt81id+5qd+7uc03Cd//ieABuh/+qeAFqiBHqh5EiiCLiiDNqhyKqiDRmhHSiiFqiWEViiGsod2ZiiHRmd4bmiHhqiIjuhfZieJnmg3gCiKrqgRXiiLviiMxuhRuqiM1qiN3ug40iiO7iiP9iiZ6aiPBqmQDiktAWl7qiiRJqmSApyRLimFIqmTRqndNKmUVqmVXuk1UCmWbimXdmkmaKmXOiiUhimZ9md4limaphZpmoKpmrapm94om77pfw6AnNbpNAQBACH5BAVQAAQALAwAbAErACAAAAafwIBwSCwajwGBcslkIp9QYXO6jFqNVOp1K802uVvvF2wVO8lRcxUNVSu5gKtbwG6768+5FRAP3wMDPT0qeF1qASs8iooseHMAi5FDACsVXHM9ihWJioQBkIp+aouAOIsqAJk8nmVumYRxnJE8l3cgGp9xN7Mkn3J/RrINuH1pwEXFZHpHfGzLhUXP0EPS00nH1tXT2tDchd6O2Nvi3W5BACH5BAVkAD4ALAwAEACuBHwBAAb/wIBweNMZdTnNcMlsOp/QqHRKrVqv2Kx2y+16v+CweIk76nbKsXrNbrvf8Lh8Tq/b7/i8fs/vN4tHaHA4hDhShYZqAH5CiGCIi0+IiYx2ODuCdGU7lFWLkW1lZmldCaYDlW4THTAVqa9cq62wTqBUqzMvCrR2HDMMJLxCEyOzwlW+HQ3HzE0mMMqvAxYwMzAZB5WAhUs7Zt+dVgA54E6iR0lfAN5npIDfgaRZ60Y7tkLkZuFX7/U3TfTMpCMCz0ymKQDiMfF28AqOG/uw5JMXZxuVhEZyyCE08UsBAQIMIGjmpIYFDxSdTMAgYANJPyZRTpngQgCBVDFTXlkpgAGI/5ddJFiwEMzJAgEnRtoRSnQmS5dyIpzU6eWjSKB4mBaV8lGAUkYDIIAcC9UPoJTsCkacklYfk3MGqQa49+TdwX7wGmKxS7HtkbVS8B75NwRjXncFFV40Q1hIQLlQxhnxcraOxSn9II+pHDTD2BRYhSS40POnFJ43Q2cl7dNpy0oSWJveMsEzChaqs5QA6cpoyK10dgvoHQW1nNgYWqs5agB4bjjCiUex+tWPg7EvHtDwoM1Iyoc38u24QX7X3r8P65EynAPAucYAp8C1NwQ8+fvouMyXB4iTZO9YnKNRAP2Rko8OOLiXXyP3NcjOgIspNhc7mtXCUIVRcDbHZVIciP/ghgB2IRxIBGCYigQjCIDCbFBIoF0Mzy2V4opTSEADDTAygqKKLGbB020IxShEdE8cNUN1cxAphY04HpeicmNY5ZyQbCgphQw0fIBbJVamomETokCoxV+ODUYQEmm8YyJAHh5EVwD5mDdPm+v99YmZ/GS0BDnjDXEEKaLoxURHnpQzBKFX/OfYFl9WZARghX0D3xuNZnHUWM2FNsCMclJZyaYqdtrFm26AioKoWNSm4pYXPdflEpcWNQAqcrzah6mobjFAGlLCQepLtgLFAUgq0FJpfXpuEWgk77QnBDuUBBIODjlUO+CbogR6SD10hZcDJ1BswxAoYaYZiESPLoH/kbP0iAlnupJwK05bB1G4RD/g1mctOtbeQNEl0jKxzYEDCSxQRNQydg+H41TbiSg3XEiGwwRT5DBcgB1rxY4MPMDbExO0wBJIKMjEhAWkgUTBC86FPLIALywzRMgdeGCCZ0hxN4QDHfQMkgE996zLEjL0bEPPORLdcwMtzKBy0kOY4HRIHhQdsxYOwIDpAZ1K0AIMHtSQIkgvsDqE1y8TIPMVPPscUtAdDD1E0TbU3YF0XveMs80GgAR1ACGPBfPaVrTdwc9wyy2Eiy+j0DJLDLBa9NJEa62yznMv/cDIFPxdRQQPVIP435MTbkLcywxwegc1CQBN0EkfdcIKTfcN/4PnAchguQAUYC5E6U0/PYTqPY/8OtJKH3007sMcPlbJpIAOw8hAQ2044kEr/jvOvPsedeu9MzdlFS6PVbM8DowdEtdLeA12DZYbULbSyogsfBO6j9U7yPaTLBPxrAPJ8ToANa/V7WhXawLjBMASx7WvBTWD38/mh4W8OU8AcMsG/RpgAe4lMAAucloDgaO7o5EsAmMjQI+EoKF7hIkLgCCMYdoxlz/hgzFvMUNkMoKRHXQIXupKy1rWFYAz3MUIMoyLOPgkjx4qAWIG+9Cb8gEpgKADXo85VEEaA5eCyMND6ACFYMjUDbVE8Rtu4hA7GjIRPilAjIH4hpxm+A13nf9pTU64Tkv0WJYlmEBwgqsOMQAJkj7WYGqCO0GxhvEyQJZlRITkHYs+whIDYCA1SyhA3zAFkhksMgAJ6AohM4WFPxKSAWvjiQAQSSJ5lIB7Y0kKFiB5ykk6cgmqFNwmkbKVGrROl0iaAi0BCaUJpAyQ0vnRlkwpAMxJQCyE3AApRElI5rXomIDUoBC6AhzqgBCbhCTOpSJZQGg6cpqRDEmOYpPOjw3BKmR5wh8bCRKlsDOS2hym4KD0zEhKc3gtSCcpS5nOrzBzn6kECT1tgs6QVLN95hTcP/1Y0G+2czi4bORAZwZOkGAul4AsUaou2scAWOWCY+mNMSOJOWr60wn/XwIAuZKlhcv4RQk9XEQX3QUXUk0kIZiQSxabIMRa/FReLIQXGPGIqBoC6IX3QuITnJiov0gsAPZ6FxIBZgTzAAA/Z2gQfJqVHqkmdTBwMdBgwnMEOZ2DE82K6oewqp6FtCOGcETrGklxsANFRGPI4I0EPINKJoyIAhYQgQ08s5Udkc0DFkhRWVSJ2MiqTGY0eZ4IAurOCdzIY0j5wI22Iw8Z2IAGnC1pAMZ5gg88AGeYZOYLRGDOjVJBjyqyAGhtMrNfosACnBXAJx3AuaGkrLBW8CwNQNva0ZrsdzSwQWozCpIPqO8DnFXpyH6LMpAgl3yfBUlzb2SysPzsA5at/2ckVFXYYblzm9jZ7GfeiSn0tg6TVWDnykRAjbF8Unyw+o0QLHCjsXVgtDbYCmvtS6JMxje4oBHCOA2A3pFhksA0sNyBR0vC0063CYf1gHy9sjjS5ELE6lOKcjcXEteSt6EwG7EAIhyAEc12BNQbnxRGBIPE2gApSsHtb3eLSVWRzAIdGNlXJoxe2DqYbCLYLY1rPJYeKxYDVwkAhseGgtHSADguqlsGMHAC55i3xeklMeAaB1z/VlA7NMDZC5zLhHHyLjtOc8WZDUCD9Ga5KyhgcW5rAqQoygWqNU0XxOxF1XoguhESIoNUgUqfutDUrkCUtA7+QdWzGiJbTcVMpv/PgVOkTujScrWjFAyjASo+q6tOnatW7YiJSjPBMIlQUIjeISdolekMcsoHhISNLFh7mq5nAJOe6OHDM+lATmRkz5kEBdgpJCAEAobmJy3aEjl5bSvCmQHUZKBNaMptAJyNsCrL4t5TLcFUKblHZlV7qTIzknfLcKw2u2LbKXTlBWkgLpDv/Rr4zngI0NyAec48ZSsMANvuPo1n+miczN6EJxqEJgEWDs2GV+HhoVJJJReZgISvt4EK4EDfDGA9lpwgaQKngMzqXZQJXBYLFvibe7UJ4CH0fAjBWq14a84SmQsh5jBaRMxnPvRheMboSwg6dVXr2I2f7ctDyHmdQaL/TSHgKo8/g/nT850yDaL7Zzpu0dg2wKpvG1ykARB4ltftc5DQmOb3hroeX74zyMnMsWw/WwucI/UA25YnWT4zVIxclkt53AqyS/s4FZ71YCBeKYqXcEhGYpVifYQCUwLso8+DIGZnkYjbGP1bdWLDnELB1U4o6q1bfwS5GoJbWa1CgRyTljSQMQBcVTWzq2hF71DVXoAQU6eHcNVBmfVMiUi+pgck/UjRENlfBGIMH5QSm4aIQJeuPqvLqIPuf99HDcSNcPqox+824dp2h4KqoH5vFCghswMdrIDP9iSzgawm9MZ1SyAWV8FeqVRJaecE+mdv9IVRa4YUa8NHeUc4/z+iBAkwKxiYgbMiDxzjfwAxb7g0cYADgIAjgvNHgQ1kgRq4gkzQgU7gXhRHMphlGw+wctJhUvEXYMKleQLQdQQoKyuogcXxFHW3UQAGCkF3KT64eTzYcJeySEo4gLxkWO8lf0TIBO1HOLdwhfy3Kr5xcDpYLOw1G4iXgGCHb0+wgN3UWUUXgYVUdz0ohVnmeFu3g3F3cztWhVDwc0IAg9RFIzxBfxK4BXxYhxHHBH44M5DzEwAmOyPBHMEkeqiWJ88WJ9jnVD6kJ6NXGJY2V+sQVPFyfbWgATL1B1iUe4CgAKl4ieIgLV1kLhlRVpMIfHWVKPZCRVnEIadWfnYlKP9aZUS1Rka62C43JGvFiFPNR4tI4BiC8SZZxSHD6A3XYmrgR23nR1Bx+IA0MiQCqHZo+AQCxzszMI7jmH4j6IX0xYCLMyMe2AQgWIfSEXl3WHDruH/kY45A94YliI4PqEHhCAPVMAMZQAEkwwI0wUqrlJA90Xb9NxMkqIivAYI74hL/SI4DWZCq1DdTs0uFBkIN2QSXgjcpQkogBYZSGBIBWY7uFJIBZm8LsEm7xErEIT3kODWNZ49CZ1tJWIXyGADmVJMUMDW9wZJ1p47c6IDFIYJUmI1RQJPjGE/tw45OAE0GUJNPiVGDWGI4SQXC0XVMoExRV0iLwF6soio8x5P/U+iTY2GVI9MbXcmVelgkW9kVIilgPFFMSqkFhaiDNwiHdZkpANYru9FvkriMjIJEZtURPdQRL/QrOWSYmEgV+TApVfBo9ZBqZpV7lZkY3+cXAgFTz9eKT6UnyGdsvHd+zPYEnmkow1hXq0h+pQaZkLaMiyAY+7AsAaABiPaap2kPMiWNUbQP1SYF0FQBs3JPX1F4O9KRIHZRIfeODVhAUnkaD2l42waJVEaPHrmVp8ES+JWdi1cT+MUTUKFP+2SQv5RO/DSdxVGd++gS7ASfkpWd7RQ5Nuec68mPhlcdO0KSsMQjUXlRLjCUTFiEnOecDmhnt6R5RriVQedNBrqd/w4VSQSaZfClk3HpjnmZj0hZJAgJlV3InPV4Ua6wfgHab3nYoV+5oeA5DOI5dRFKX1fhWO3klhnanCoql7aFnV2YKRaHS+6JBXvplzrKnyMZDAD2R5kymKF3jdMHQ0p0iXSUCI2pe/6wL0iUDrbQVrUQGBlhLQSTDniRBqFGBQnzF03VDzmQLU7ApVgwVHHSEY0Sagyhmls1CYQAi51CVTGlmKGpjBAyRhSBF5jwJ7WJmvJCRHvyKAvjpOTzn4KjTe7VlyGon0vJAPzFX0MxFDozb7ZQnAEqoioRpDkJHABmoj1qhl8ZpKgKnQ9YnkemqZp6EqA0FKLlZTdCYM+1nP/tuKraSZ4WJZ+vIRwoIAKQlVibyh0JgGG5iqukFaLt2JOLg20kuVBd51gfoKkiBlkeUBR8CGA10KzOeiPBgFswkK1Rpo842KAYmqMMaqoChq2zmqzeipPiYwuFd2+qNalRYK7ZajNvCAq8qkBjk62bmliQFQzEeqKqiog3+qpLGZ6/yoV82Cv6drDH2hQBwK/C9LCG5xzSCkLUannuCayEyJ1FqGOO2D4jW6pUtqTcWZiqZqXRVosCwSyTRrOcyYvT55jhsrMA0g+5Vg+i4ghWUIuF8QngZ4yz6SxvakOAWppMq5lYhQlPgChv0pqGqYtSirSAeiYaIR7ykBaeGX3/maaozMYfxmdoW2CeJGIewvF4XUgBK7Qz6vp/+smHA0ud2vmuH9uiqboT+HiUEktxSpmVYLC3QzixrzGR20mRd/sFisuXASpLD1hmuPVJ8GeUvsGuDQuHXacqN2mhLhuW7lq6fru5ZvitDuqx+oqjcsuDocuF9SiqqhsFqFqPKIq7OShy+tmqJVudFStgJZeWUBC3cHm6W7ejVchOBViytCukKOu3X1iXsnSqAsakpsiz5jCLm0lTYfIJB/JGi+BrZMAQTksEO/AthXogoEh+kMK+TFsE6xuMgZAOAjIXgGoLM0R8ZzWzzOeksPe0nfkNShBDTIC0i8C+OsEwoLlp/0+6tJNCe6IowdC3i43RQw9BCOSRLAhcbNP4fUMlV3j0ZC9wsBbgckVBrLkyopRaf73qot+4naR7u3wbgJ77gMWEgDtRE/QndA4InQBgsmAZBsXLub5ruI07n45bxGBwxOMThTMzdk7nhZdCf0S5hwJWikOqvyCJk7lrJQlwpFjYjV8sAPBKSnQpBaxrW3rklSrBotl5iF9slLkrGtgGetW7uO4mU6qyu8dLMi0ciIRDh+dIccKLk70CxC/MoXQMjmYcBYUoxTJsdK4qulzQxTkZTLJbqUaHvTBLmI7atPFxa7Xwe+zQGO8QCaT2mBUMBdQ4m754mpkGyxVsvgExKf/9a6ZuerWTeA4tvGpQq4w21Mr/O6imqWmCQgm7V4yEYcxLOxCTWUb5srRUKoyoRlUHolYQHGtc5LVnVcJaSbpqCYb6Nxy2EAGz0W6EIwEr4MJNoM4yjJTC4X45uW0gE72o67KOJU5odwXFa5LnvEiX/JD9HM9aCHkhgc9JDKOO+9Bj05fyrAVdwcn1vDamBHeqAiRVlwamhAJa6M4p+7cKbaH39EhmrEeH5506msYrLIMt+M7Uq3mcqyrfGcd9u48qOtE8KqGqVdFOcNExPc5f4V5oXEE4c4MRsAwBTWMDLcOITI+LTNMvrSIhLdMglNTqMtEQedO+wbl6RH/uJVL/mAyRqlXSkje9Yb02Y60E2Gtv2su26nIfa0QeORDMP3sGhrDN1re+utbNmnYGPntqbnKosgkQshcFy/eLCaIms/d7cAQRD7FGoJAQa6oAXMW0FqwFI/wfIbJGhvAOwulo3BDA8JIemWAXu+DYr4YEof177+Eee3XBZyUIA0zLq40OSiC2v8ao7/HA4jyPkbOUmDROH9AAAxABYrEVRtY7AyAUGIDSZLMCyd1fKvVLKCEDOAPH9SYC3o3VILQC4i0DDSTeIsB0Obyx2BEBwQXITzAiB6ABEZAyhXbJXGhj1B0Bz6C8bCxe3i0C4O3O413e4t0AEsnE80mfL5Df1r0F/13RO999NikDegkwTsTxI6ZhZBrkWCfgASwgAexdGnPBukgsyd4VA8l9TGUhcBhwACyg3f9MXTHm3bPRxkXhWL3z4eydHKZh4185MrNF42cj3isgAySzAt7N1tiB3BHQAXP4NANQAyp+xhAO4F3YPR9eAyKjHPWG4szk3k9g1DED4st9lD3IAvNdkK/bW/To4xKa4xIgX3Q7BGLO5BBAzpk14yLAIhEg3srtUUT+E/cEDBWeUmt+6JYyvfvcPsdFAoW+ktkb6aKsF54ND/67KK1tKMWGRt8RaVMFzkVUy7eW2Dsk2EFkRo8t6r8Ypb2t6fC7BeO36TzbRbpdfEp0J/+JgQaGjeqzCQ8Fs+puQdutrRHDfCb/MEZAREesTsJ6GbnnyID9FEnVEY4LKgS7tUudlZ4I5Y70ZHSL4FLEhBsQyqBKEdCjxMlRUHILxXJsTnG0O04I2cjdCUj0B+6CgwICB5+kIaw3mU7yvrjbfnTpZHX1NxvCYQAEDaneZRrjvsk7gTMfWhY0CkjkjIPIJKPV0dNGVksXmvEF+mSCQ2P2PhbDDUIRhSkqBvHYntP3GfDnGEnKcU/nngXRTvFFYe6A9Ekme+gNr/EKD6CLc/I/E0zgfuGcFE4CH0kEv/MQ6+Af3wQNX8ZKbx4fIUuDORIlYAAVn3qUEBC8ji7B7sr/GaETbxUh6SvLjun1xPeJggJGEbHLylZHdAFG1azMg/3p19h79eEXN0AqZxrLglHN9IsXt0kvfb+9gSAquvgeoP5CMeTq7eIhv94IZyrOAd2XEkCt1WEC9KRCX4lSIXGDMgBO8lNz4qk+NpHQQoBCjcMqRh1J7jYsDaqOqrOW1tUTqt+lohFc3gUcl8yiMqDtpX/3TsD6z7POF4UCmByfj0s02p4LW0H8Q9DkiMScDgBO8V2pdKxxgkdIYEPnxit0Jd6v6YlYG7pS2BFQSJwANyM4xDEsRqm3vM9ADIA58A+v69/+hs6D6QQEKEWAGDC5BMlkp0EEODJKwckS3RSx/5EORoliYSUtaZLiAY+kBPGJhA0A3PGiiStlFhOPMYMEJ06ssCaQrogWptqKDtnAxMZgzNxMouya3BJMZqQqigDHxjiJHC7GDjQ6A1EFCuVasTgQXRcTW0dLT4lgGUtieRndbnSEdXZwXY+Ri3CWcZCZm5Ojk/2kq5Of36zjno3luLVbAajB3bDJt5mdl4/NXdvPk4N1TtPdAIRzAt6Vh4W74aUNiCCCoCU5EgiKWOFqIMEIbgatCtBwIUCLcQawSBAgARoGBrUhJFjRYkMRD+WMu7jSjUmULI+ZBHlOpMKZMLOMPCawIM5kNVfc9KmNZ884FFkCFTpR58qiQQ8mJP85NI5SV0+X+pRJlWtOoxblCduhsmtZs2fRplW7li0yef/sEcvnrN+8tmcjsrrraiMWB0kIDNk7mHBhw4cRJ1a8mHFjx48hR5Y8mTIwf8cA7NAxtzLXCVz0IpYQgoKFFRHoJAnVmXVr169hx5Y9m3Zt27dxr5QnOJxmzrmtfZa4WAKpTwTgSiYLnHlz58+hRycsTtpye9WsY6EOcwDb7dMaf4edvYh4zNWCFUsJ595mV+TBwc8WkCX1vO9xyqc+YIEmJWWk06468AZcSb7yvMMuv/C6i+bA/BrE7EH9aNPvwAgDbA4ADM9LhkOANiwQmeQwgilEB6f50KwTWVIxpQX/kWExxmhc1K7G60yk0bsbtZExO/0wBECCCF5CkMAWUcxxmgtFfI9HIp50oq0o58OMygd1THLEJvGrz8EozWvlyseAnIbEDNFMsy0s1RRTuijHZItKJbVsk5wJYVyLzdj2ZKzPxebkzs5BZwvUQ5wMdYpQNxLdKZozGUXUMUixaNQiSomSVFDoqMTUGksBAvUsUUtEhtRSFyXC02qiXNWnU1ONVdZZaa3V1ltxzVXXXXnt1ddfgQ1W2GGJLdbYY5FNVtllmW3W2WehjVbaaamt1tprsc1W22257dbbb8ENV9xw/xx3RnPRTVfddROroYMkvGBX3nnprdfee9WswTh4/7/A199/AQ5Y4IGtKbcIXsaIl+CFGW54YIPzdDicXRGGQQRSFN4L4jo1lLhCjz8WMNuNQVYw4gD31KKDDl7graWVWXZZFAZiCEACNDKGJ0yT0SJZV59LDvpkNYEW2mjHEBaAARBaSfqjY24WIOejV1yT6mqLPifrq7n21ul+4yjBAHiZdiXqqfXkMs0/t9a467cnaxtu6eQWN2m0ibgb7INw3tsxn+sGOfDA534Oz2TZLlzkqrV1uuywlXjabI/8nm1nwiUe/F7MceU8Ms8NLPhZ0G8lnTAJWJCgr1ZQT2B11vtWXPbZaa/d9qEOPLtyqtiz3fTbgX8x19+1Dl7dqP8Z2P1O468aj/mFiX9eereH0p2r6ImeXvvtj+Q+YAdmCJ8A5R1wAYYM8C7Ceu9rxz5499mPX7K7H3eD/p1CkFpmMuWGPzz/5VcWwE0nc4qB386YB8DY6K1pXdhdDWhAAxtwwQAfkGDN6EUNlSgwgB304AcXxUA5iNANBfiEEkIzsSoNLQ5Y4qBPXgicGIKQhjX02F/41cAcxuEQJxyOhKSEOxYO0XDnSgsCbbiuGSaRiYNaYhOh2BkkRpFMwXoiFbGYRS1u0YNT5KLvvhhGMYZsjGU04xnReL1Ibap7XWrjepakthZSD4hGTOMd8ZjH13jKi0GMUZliFCdTyVGAcNL/4yERmUjYgImQApzSY2ClSElOcoyR/JQ0XMVGRSVjVZasRiYpGUpRjpKUpTTlKVGZSlWukpWtdOUrYRlLWc6SlrXsStbCQgxQWuSKtrxGXXbpS2FCcTkRsIAFFLK/IuRSPWXZBzrWAUOrQXMZG3sGDh6kgeVcs5fwuMEOmpmWb+4AGjzrCg6AuZIJdAAGq+EWB9CXlWHOsy2wEAAFZuKHCaDhFnKQRz2IoJm6DKOcBctBXQrKj37kIJhxOCgxqJHLgYaTHA8dCxYkKoyEVkOgCEWGQHfgho72Y6Mx6sc/BBpMHNwAmwB5aEPP8U8HDeM358RBStUJGotI4Ji0YA4E/z0AU1eY8AQIoOdRCZM0qe0NDjWowx7qt8zLaGekHgVHVTVqmYkKNQBhCedDByoWmMoDnMZAZ1h1cIP4oNU9rfCqMdoTVrVip6NzdQJOr6pLgLxlLTKNxzAoWha+XkQ4KdQGwtyZm+JgAAVRXckhDOBTf3UTqYMSjhRCM4H/xCABEXiAC5bmz6liYaU3eGgObpDaXZJ1GWCFq1gYeta0gqgfIVVGanGbWprCQ7Z6JcJZc8CMjioTMztALTPAWtK4glM7m2EpAHCQXOzUtht4LZhmAutGjI4WLX5FBlh1QNyhDHanEcQgPBDrnOIozbEXgaxk8UXZyqppAsahgCMEkP8CLJhQaiCZQFBFa5dWANdgAoVGXO1KVj+QFaYdLet3uauNkYZzpW+ghkDt6tKsOrS2KszMhmfajwxbFzsHta03I2wW776nLhkWbIqTqhrnDCB/QmgRLt47Xx2bZTRkaEMPBaCCPyBBAEaVBnm3gY85RoPARAgLZx5azo4mFAA5sHIOsvNNHZz1xAMWC1lMa+WSOlmj2IWPPGp6DuDG4Z/Y/WVb/ZiSuoSTxLkMLmmvTNMru1gfI03oP8HK0ADjo6Q3FbFKVmxlcpJWGKb17W/FHOh/iFnLjXYFksEhgw7YgNMdSGwANM2EFtSBAucdgAlWRmQYwKwD5/3DqJXwgpv/hKEDHpgAfhkQCSJoGgUNqEISDCBrm61M18P2dBFCrYU69LoIDoAZsFndMjfIgBL3LPYc/FOGHO+Y20Phb1GL8O02ICx9AT7TmmOq5DfUZQhxxQV4XSzb7DpBLgEQ6zFWfFeChkPJ98a3pS/yUBe3B8v+vjSIp0HTDX9YwAHA6pYVyla4gpemEWVrQimOcH2ElaIyFYdF3fBSE7sso8PgTVwHmmYyN5wcJhxbElLI308YQMg229cJ9VuEGlRbCeAWBBdQcHP2hjsJ+FUCJworCEIQ/YQ+V6oUDIABCjxOAhAQwMtRaIwByHwMke3211liT59Dyer3JIE9DXtwlpcD/+Dk8GtVT9Ee9fQWzr8Vy0Vb+FK5/8jgWJhyK0yszb7LIcoXCYvM9G7mFW5XGOJtoVi4jAu8gpWlf3eybhuNWxwYg/IrHUaCRWzoR3d+uBEP7pMZDw2QotQf8shwLll6dz+gPLjSZTOMqyEDCToihUCu4K8FQIAiWCCC/ERBBCNIC82SwQMWgAEZ/MvzDtDAI48D8j1fYIPnIz0VQ/6h7w9gASLHawLIB/YHHhBBD/BG5i8QgR6SkPMAJM39/Lw6fMGef2vongZGxkIeIqgBeujT/m3tGK3utEGmzsrR7ELuTgG70E2hHizJZssB1U7lGG7RKFCt7gGcyEO2Giqj4v/N0ixQqwCLzzBDrArP4S4jrsrptOJA8ShQAzduqsJCyhbO5IoABongtPxAtnjjnzJQPNaMyyyu8YoAAulN3bpq8JrQAMnBE3ovCX5BOCTnYGRMDvhrAwQjAcpO/gLgssbuv4wByKSNCESgDZKuE5bOEIDNyDwhyP6vxpTJAbig1JrtDpsgagTgAMgO2PBP/wSRJQbQGjDtAFXuyLLqy3BK7p5wGXyD7ZzQAveuNzQuCSFPDhrxy1jsEtGjLmrK3dYNom5voXpEoN7ANx7wMtCsuUjR7x6N8VzMr1pRqtqqFpewmUhsBR9RoARNq5rhw8IJF59wLkRR3wzwEKOwDbH/oIf8sAiszgD8L2+yECKQ4ASiL/iM4bIIUBHgRZnW0PtYoYf0Au3OYKnkoIfAMAB6SMis8HGEw+sGcR5xohA/EQrtDgENsfF2g+HizjcIrgYT0Tr86hhn8EzYgyxWUBjPxBcBIroYcDOMoSCJIbsgEqzmjd+QMMr8MQB4MaAiTAZDDrDACZz27RFdcS4+kgUbkBMVijMyKjmwCxe8a8UCMhVj8aVKkavEkYeqkR1jAQvSKw5wSADC5ygpgGxU4QrT8ScFofvCkBnt8Q+gEnl2p+wEIANg4Cj9gxMQRi+iRh7pcSwtgr/W0S1wTyBRbDNIcBPlQq8ikMmY0N5iEQty/0AzUPDNfsMJQVIiWUK25iouRdIbPm+6LsMIcWo3RCok67IvL27lCsoCFRMWGzASEdEWSeog3yACJ3MJsWwUayrfnpAno/KHvFEam/HqpnH+nJIafejqkkcVbEwWWvMPdEoVxnEKplE4kEN9YscN+PA1vRLmzlEsyfI4wcEc7/Hc5jIB06kj6fIk4/KviMG0ItLK4GIYgsmirizQfnEHtRMnjPAJjSvP8OE7Z3BCwtMjG08nkazKGBPvFjOtrokZaJK7JBM/dfImXxIzT8oEiYHdVq4bGBI0RxLitIo078MNts0NjZM1BYAAEYYBRACZjslCiy0cW2EWWkFDw5FDO/8B6MBmfc5xBj7gmDygQi2g+cYNMM7xF5AzRquB3JTH3NyhOffxJAsU5ZrJ9XKUrdauycCh5NIJPBuTtOyzOu6NSP9TIzOyhfAKuBIT4aATE+ct8NASQT0TDmyyEWfyMlcuH0BqHLALraDBJtWtBAd0J9WJGYnOOBvUNQkQh54RGRaUNh8UN3/uh/jLnTSURPEgf2B0hIjTN+9PRhE1GuKw5qJBGfMxEeWSCYUUrHjDwMqhJD8To4wLUx1MBzhMSwnPJP9MLkrSwbrMtVLwJBOOFTfjLkuSpp60A580LkYL7p7QxdYTPOdNNLUqw9DNR7Hg3tT0Vm0xGDGsPCCPpZT/Vd2A9VFzsbpSzFG14U5P06fiNADoVA6Eo9xC1DSbMk+JYL0y5iu9sQ+FslCJIAEEFf+mUluBjjc8AVwTdV6ZDp8EAcDY1Mv00TC19FhXTsAiTxKPNA7EgjD9AYGmTD4EahwYzKRUVRk26rTOpCKpIZoYTz4dtuHobghA0BbTrDMPsBjGAbowExfgE0E7Nkzfre2is5yEsAYRtBapIz9962QPrDDzMbukNThuMzXh9FD3VPiqwjg+LQLqRwqR4VoN9RcGoOxyc+gCoGnjr4RUk1CVZiYmoCLWq8iKQOwCkV7JkiyWbwo8gEj0ILRW6BBxy6I0b0gJ6mQbLq7yATBn/3BW6W0CZRGOGA5UnXQiaSq3UovKLG+7doClIBFn5Qxvg+G4Wkss8lLORmtvWzITb7AUyQmgWHLRoCs97vPeUBUniWEIKjcf0wq6Vq9YS5Y9+ZbhmsGrelAsBAPlsIlu85UcJGAFcFcGgA53oQIof/ZB49D9voL+VmBITOD5wFBDvzUQpVZqitf+nlZqSKDqoI9BqVAq1Me+PCB1IqAFDKCx3HAKYuDUeu5rwTZR7fCEwPf2suvhPDEZHi6h6M4J5U0/nPBhNRF/IXcYgTQUMxNAQZHvHo1IjctVDBJmARatMDCsXguw6mLB2MpXFXgcMg7hVswhSWzl1IpJ7Qrl5v8sOXYWGfgL66SAAr7A5aZxEVYzALjuJ68PFPY07d50hbHQh6L3Ez7tsiIHHnmuhC1ha2eOhs+XXvfpE0whwDDXffm2Giiu0EAxOeQNUz4sUyUQIVV3iR9vM45QgQlWf0WvxcgjMzxQGR7uBkY2RlDRDZq0z1rMHcArsDKKBtNDolqKtKrKjEsRsEYVVGUrYCUxH1yvtiLzPBcKLhoXH6PhhRNmCHTBWoPy/45gE6aNyIDtBF7Ap5TXJwc1DkxACqig+yCLBmBYDrRACnImDMYAA3JNEOxPADpADCjAfIf467aDPIDiTCSKNNkBc72Bl3HlmriKm9LimdTMl8thGc7/zZiR1GK5gq+MWcmIme50uS1cAi1EYgWSYxZqor2swSpIuSlmOVGBhpmmOZxzFFL480bX2FiU1pzd+Z1xZWfTGVtcTpbh+Z7xWU108j0sU1uISojzOaAFOjo4N1UhdVpAdKAVeqEZuqEd+qEhOqIleqIpuqIt+qIxOqM1eqM5uqM9+qNBOqRFeqRJuqRNWqAF4piSaTFMgALuAFf2CQbqFC32aQbOkC1u7XxggA8mowS40lx1BiZGgys3+SI4wKWFIqa7EVtcpwgGIAHgoqlhw3W0znWs+qqhOjhGgAJm+qS1RQZO6KXjrC3qmTl4ygLs+RgyGUdY4h3bIn17DqAV/+PpZJgtgLhqcQKF3dVbC6MGVrScJaNPSzNnyNU1trVfnm6UpWGtvbpaFPkNE0OvgWMoz4Fa8UJE5aTsKMCCaECeEoOnRKCT+XovBiAh0EBe4aGs44CxF4fHSAFto8MTnmb5CBtdWYO/6jSxJbkaPOEFGltb4JoAihc1MgA1EUP3PsDxFqg2edtN8SIKuJUqOgJqWwNpF6OdAeK9eicbJMC8/igtzoabC0NunNH7YrOG6/oxPMFeXfMFiA/5ko9nRxs2APu3uQLtxiEBREC8yegwKPuNFjQBPKlDMducaIIUhNawe1Yt4AO7iQLHgHb2HGMAcEa5D8NnPKEKkSBjAP+gsFnDnmb6vyv7NgdgAOrbvmtFspFBBp6P+eQg1BpgEoBN1mjtBf7B2Y4tXFvABjbNBoStEWqtBlo82ConE5jPAljGs+MAxmHtnlyNCCLA/gzgAHjj1FamDhiA1Z781mbg5X7c+9ybEk7g2kTB/maAyqviAZ4KBRBgHA4b2VbmBajus/6jA6ZCGkKtxV0aZnwqDNopDLC82Bygxa8OzXU81ZLAA0TbAJ48OKDSDaBACaYcHJtcavB1Ih6A0GcABRq9Wi3iCDRhzLdNHDSt01qtFWCc2mYcJFj8P8icCCxgXyjgkkXh2ZYAZm7aZh6g2lAA/1KdEmy6AWrcb9apA2b/mj9gptPPQTnDkAvO2zXBks7J4AXu3GaM7svVpwU8DdCTABKwwF1MeXvNJgpi+Vwj9Cek3SipnQ1XAdyT4AVqdFHky4kuYt6ppV0PAiulwMap1gA6wD+Obr0etOxWY2ypULKEA+CVoDehpIWVYAbSer9e09XsaQ9+WOgUOwCc6hPGkJLHYAO6QbQtXhAw/tzZXWFEXtfq64TSu4UcXgpoAQA84XykQJXLRuSlQHIMvukifrVBYzlwPnJmIuiVwMjuWgq62tPPYet8SB7hoIUTvN/fZZSp9xP4vRNaGYVc04eucOVx2CddGYf5kFFzwbaDc6lDIgpg1BNq+4fi8OPd/6AGTojmIIILaD7ny6bixwCgmV1O7bTkWSEiTojhUbxZvu3S46D9RAC/1vH6KsgGkIAT7AkM14u9dZ3TogB4KRkFkLwO/C9pCEAEsBK1N1TST7QOErwoOV/NXRTWiw9e4Fv5XD3Wq7c04WXxlUD+VN8C4C/4nLrsDIAGLMD+/C8iQkvk3cmeNrtC36Xl4wCCaMARGAD5PsC/PH763iW0dr/3hVbwP8D+PsAR0F6tF7zZuoD3Ud/clQaZbKC4E6HyhXfIadjBk0Hk6+/hp1EGOI33Sh8IBELKywYTVAKAglDwErWaqQBVEmo+LSPBhjqh0R7C0+cB9mioA4jQ8NE2Ef/U+aIpINtcyEBJ2J1LbBnIAW4JJc0lKi4qKZr4AcxNYAigsCT2cc1xtH2IwBEkTgqhWFgcCVA0iGbYdTx0CDCABEhckHpAHZEw1t4KEM5lPokU54oobHZ+xv4FTOiRWsQKqfReY2drb3N3e3+Dh4uPb0eSn6Onq6+zt7uvjzZ1fKwoOozFzDlQqiYy+aWhIoLXKBTJqGRypqiOAV6iojmLImBKLUMH5vxr+K3OHYejGKwK8I9AwH0CBinKhGgRGyeXAgyQSDGeM06VXv57cdDkCUKjUAJY40cSBgMMFHAwcEjRPzmRAEioJ25CK4WKoI0JNgGNSCEvNETiKQdrKKr/lZ5RuhhulFUqI0tS6lnF0IaDtVo4DGAhhjklHNsGYJj3WyAhHtS01LiIbS+OTuwODHDvTj4qJvvxwZdIhto5A7YY7Ev0JKEEbAy8WIjFrgWCrTBLJhVwbpOV5AqjlNTKEqahbkknihCSSksCLwf8o+iF0h2tXEeFmpNAxMtFjzSltKNdcdfcVCJIfQaRjhDl3US/S6++F/r17dqPAwCf3Pz37N3jp59/fy8Z2yvlxZF5gVWTCEcGMZLAFd61ZA0jgl2lB2YATPYHVrD9NNg2HHUWwGlySNDKCYNxZFtmeyz2WgN9kZUGVt7ZchIvIXbkz1IB2KTQR7SgVYkYlC3C/4R36DDWSzxJoEcjd90lgVUXjJkF2DZRLqLkYP8gMhls3FC5CIRr6QHSaCMy4mRjpNhlYHmqCWCNgmtmUxgD1SWSIxWRfDQcgZWkaSOKXf1J243nZBKdbjf1hh2BQ17Viph3tjhaoKJQYmichjiYqHZNBAickRIOVyF/o5Ja6nr1LYKqqfipuio28rka61QtzLAdIS0JAMMMu+46KKAm1imEWmY96qWnkujBmxJdilqIjBv5WgeZBdGZUHaTWtYEr7u2gii1NqL0rTC+YZkIbh51WxsjGb2wAp1TUSJlj1uOpixCQzkJwAS1dlGYvNkU+ZAs1fqWSYeM6PtABrw2Af/Yl+BY6+ySyCrKJrDEtbFtr3sURgEvqBZmr5+2xbhkcteYRFItKi6SgAQJNDDbOFaclOlyiI6r6D9OuLvIZLluSwEp1WFV7FXMoeBBBDIvUigjBkcQ9QpSz7Zzu++KN/Bo/8ratddf3we22GK3OrbXEkChFJ+FbWqHbRzZ3GgltET8YI2UCmBpkQn1VRiZ3ggZzKIExXutVSo93TZzWkNn1xJLBXwvdgwJfu7NdojsRbptHADWVFVdYxaCKVZ84pOgx9jvFlyHDnqEeRtOxXUXq9m2AAdT8fA3dVf07GJ6SFkiI2zbzvEtmQ8PGtaLVi4IiQJgQHstV8wgB+/pFcr/tLiSOzPJ4sLOlontGNiL1eh2a4eChlQkgGni2B696QF2kcVK6Wbjn7/++/Mfdv//ZyMTDWGbJyzwCQt4AIHP+xsjBkA9FQiFUWqaWJc0hx3eWQ5wvstdjSJnumtdLBMoOKApTJELCyoEAC1pkuty9gdpDYZmiomH2rjQnglQww4qW0vhjNTDxfyQez1SnSb8Ba/7mSlRf7CJ9GIjBBh4QgQ/ctjdIEYKczmvTMA7EwOxKARPJPATCfSAa3CGjZAtjwldzCAHu7gIm1ykQe4RCraIRbDbiSKHTdihCEtoQhMKjGsmqJUdDBA3J54vUU30gh6FQICDJPFmrAMgJStp/8lLYjKT4oggCUxTRWzormnC2p6xKBjELmEwi97QHYRIeT3E+cw3oaOEyP5hDVeSy1e48UlcSPCzQ6ohAhZIFzCnFES5SQmXmmCMEY3IQyTS8o5/KAElBsSmDlXQRm7sRio3GMgzTYx9CxpMkrZgNEWYA43oI9kWuhjKROiLlhFIFgvKNo7JIM98dwTWAIT5izZl635aFGiVoMCcHSLGV4rkRgL82QQHRfIZLdQkRSuaH1hZtKL2zGgiPvSrbQhpfXhDwXVwN0ENZbNIO6JYOLPBymeZZUsCsoewykTLPsUPNu2DKT/0NNM9YZNlEkUURzyWjRWGI54EHaIPU+HTNf+ZqZmr+xyf5CZTOIkQp+Tp4vWowMQjns8sLY3oSXtRrmvsFKDZ8KRRjYXHQ121pX5CxcViwqtFagOpVTKnnmDZC71CZ3nxm6Q+KDGLREzmKL3wazcAu8WtWRKjHH3VZONTWU1uFJMOeIGeJNPLE51zAuHhoFzngKtj2U0u9tNRD9mmHI5s06XehNCbBHAY+dBIraOxFCB+YSIACMeCf7rMKjw5EUBEw0GZKJZNdii6S7ANoRLo01efKS8PSucKx63CL25ZOKkuda3t/Fh2B2UWtebWNsDlUeB6K0sliiNGwFCGNyFrN7kuV09QCY9NDguI0ZJWcDkDiTmaK7N30rT/CbElHl6xURAeKYJtmartSqariOq6dg7miACEmdoLmEV4Nx0+6/sWaeFgoShy2L0si1vMP8m6OMbcGIYIovaAg6aBbSfwAAskEIEWYMC/pBWppvKGU/CIYAUt8cAKmkwLFf/QJgL4wI+bUFpwPk8x4utcBH6RufO2qxjDEV+7+nmKFC8ODTVgTme2rIAuD427pOikY1YirnhQxBZucJcETEAJCXJpooO9hpvh7C3UTdWZ4fgHAxJogZCIzwNv7hYKICzlF0Sgn1EgRFFjoIEa/BMwE2hCAQ+zSnwM4DobjEqTZUDLJotATyHthY557GMg+/e8jR6ABCyAAd7uiQLH/wiPfFGwggSo2kQINleoaW0I+HXjZGcyTNRQ8Tc906PH1/EOmVfQTxMcwTbZzE4HktxPuuDtnH0RIQ1s0O5228DUtiADn7fNy4qNW8b63je/+2028W2KgVixA3OE3B0iuxdOeLOdAZp0yh8ad1NXXhdqpVWa01q5MkzZ1NuE8L0bjdp2OsV4GzTuxE09cjRCFp81iKcdYHdjxZJEKwRqmPGZg5ewNtUOIiKuHZtJgOSeOu/HCbozUnRYG7m1chvykpG2KdYtBijtwDclZJNsKjVHI6QQrl50I28c0Bd+qLPVdUR62a9tynG5DtlUdHEfs8iFFJy04Zkz20WH7W0wFP+Uw+vvvwM+8IInEpC304HOSkAidhC2amLLpm2e13YsxPdEU80cN/D1G5xwZxUToPiuExnZ0VCoDDbnFXTl7dmV6GwCftSEtiJ29OATWCJHApMHcJ3UWg30UvOdiAQ4ZghaQXQRpzqOCah+JZ7XDgNE6udCHv5ODvjnHYa51EE2odKEOe0LogB7KbftfDA84+eHYGpJNBJ+ERjB4kQWAdN3zliOR2zXO1te6DXYrDU9I64IaXLLyw9OyYDsOVJeKJW8OAAqNAEGwIDgxJT9rVvxYMcA3Nh2fAD9TJTvDd4GcuCLdSCpREAxFEPSmYsIroD99c8AJEACBMBOaZ96oE3/MQCYOIRgMUQANtTgDAKCCeKgCKKgN8Rgku3eqgShDsZKEWJDP8kgCubgqDQhfxQhCkYCEpJDDcYaOtjJemDFCfxghPFgLyCZEPagDZJDQ/mgW5nUzJjgEH5gG7rhG8Ihvw1AgiVSHNrhHVJUZpFKbgmYOySF31UUjcwfHhJiIRriIbKYLUDRCvQZIeUfIkJiJF6U2UyHBfwCzLUDq5HgZYFHF0riJ4JiKIoiFFLfHjHNKKJiKl5WyLVBH6riK8JiLMriLHrGA+iB2jAeLeriLubPeTUgLwJjMArjMG6gy0QNMSJjMirjMjJjMzrjM0JjNErjNFJjNVrjNWJjNmrj/zZyYzd64zeCYziK4ziSYzma4zmiYzqq4zqyYzu64zvCYzzK4zzSYz3a4z3iYz7q4z7yYz/64z8CZCYBlwhu4v/gUAY8ohaOAAzoRCaVwAwYwK5gQBpqVEBa5EViZDLSjB2YnKzUAAKdIhABYn6sFCYB3Ejqoh5mZGWp5Eq6pDTKF8+dzS3MiTbIHKnoUybF4HWk0Et+YEv6ZFAK5SX9wwnEQAS0xCACJWGYU0GaS7t15KoUjWBRElkN5VVaFlZq5TOmVxUwhzWVymdUFTssJZfQk4adx6jA2OvoHC2W5VaK4lrC5Vxe1mTskJQh1DagTeENwQdsIgBY4ut9gEM4QP8HGGYT2IBhdkBD3okMdIANQGYHmIhjdoCAed5idpgMKGAufsNHVAdlctZmpAtnboZhNgC4tUFoJl4HeEANdIDavADWTABfOsEPWuUcuObidMABUOUyvqUk/mb/BCddEic3cogXLJ4n3okw2NzroZTqNYzk2I6QPY4dHM579Yh/BV3bbEBIOthuvESkAcJpMUd3hl36ORzeycyaBZwr3iaOtI3Y8cdwFmd92ud9lorw1FYceEMJKEUpSNFBeZFXfILxfUEYxMUHgAENSNpmgIFEWMUDolhnWA0USEFn7sYqbJttVKjiDUjwUYCCtkJ6SoPiZUo8wIAp/MI5ZQ1gFFv/MdBAK7giftIowtTojfKb8JTUOHnDBFhAh5kFAwmQyXGGIohlHQ5UW5CY3xACT2gccfXoTf3hHpiDSRjAkwoVB3mFAphDa2SNzihcS9RFQm3XN4lkdMjHAFCH2dAnjrrpm8KplqqA6IjlxG2Ip9TWgLSHOgHMY8FXQKFAQPwURhRIzNHSjzQcm0xBX9hS7SAIemxhqPiGhO6W9sRdj2BinIajXGpqp9IiRyBAU7ARN6hpB7gAw/hOxyhn79Rkn94PjWCG8GDMSWSArqBqQkaeQnlIxmhMtChc/JRPWgQU0GwL0rHlzlWC0ninp27jU7SpNjwrs0or2fyDDQzFqNpk/7rY3LUdT29WwRW0qoP5ae0kQYxcG3RyXJSmD53onUySB7RBx2pJ53S+i8wd3ZxN66ZGVrTma78mVfCJScnMaAPhygsYkAjcQm7YkdKBq7d6WIJ1Qco4ywy8AQKREBmpq3Z0CNscgCmQEAI9lVylVA+J0AF97PkdirxgXyEVk79CIr+qpcvK7GUFH0RlKTqJJOwdHG2waJV0q03GHVSoSAFQgvJdwSDGnIj4EtmJ0yddw7L13R80izH53a3h2MyCIsymJdZyLQf+jDNkj6FWTAZJmDa8ic4aiaA1Akd4wBZcFbR1ZjQF23CQGCjVl32h0M0gT9qOZTaYRM9qqtZu7f85CG7XGm41dmXvlCnVEkBf/CF3XAcK6ElUBAlq8a2UYB125leEGWHraE10BcTmigKAzVqZZGBrGQKwBFeEjVcjSAfiiVg/Fq7/uEpwzu7h4i407ozSJCXCma6w9JhjcMfACRuviUAGtAVsDZu5NNkK+EclrICYmYt2FaqzpIKtGZTBAS3O4Jmg7FiPVdkLDllT6UgLdZuZhRvFyYIYQVol1Ni5YWfuvuTtyi8H0i8itmtC5s7XoVbmWidaPsOmUACE7Uxzag19yYL95aodaC/A0BKECRBEEWATGFx7lcl7hZwzAEDwuWv8uM28EtzA1u8Ik7CmbqTZfcPy2UH3OS3/8m3HSvRFBHRA+1UHB6dPmtAErZXf9XZmsqSJ7VXBDsMAyhKI46WUoA2gx6Umkbkw9ESPZShg9onwT7bK/ZawG1rxFdOjFTqlXp5hnHzhNXBqehRhF69DFOoHN1jhDY6DGUpvRT7jGGvxHM9xFtPxHeNxHuvxHvNxH/vxHwNyIAvyIBNyIRvyISNyIivyIjNyIzvyI0NyJEvyJFNyJVvyJWNyJmvyJnNyJ3vyJ4NyKIvyKJNyKZvyKaNyUK7gKrNyKz/DCFAARa5HKyfAHCajHMfcCMyALLsDuMFAVJ7DBMAADFyMHcsK8hFzKiuzPNpwwJHATarHSZqRR4Jk15zX/5b4je9eQ6956fGNK37UbTqsmDHHynvuDzdr8zKr8+Dda9v0hAauhzSL7xFeQJCZMUkujnnsUjgwFjhk8KjIKjxcauD9syX18zojNAfWwIJawI+UAkM3ADSnRwQsKA3IbdfIyT3jR+TBBrbOmK726DcTrmzBbXyZATBPlj1JABig9P4cdELDNAdaZZEMwAB4J8y6oMNSVjocKRsuJ+0e3/esnSrtDkjH3GPVMjqoSkCHIjnnx0vHdFT/nb6IdJTUACqghmx+XmiiA5/eBWuai2GuhGNi2rN1QF6sZmxeRQfAwEUU5mGehGIuJg7TJlebSwuwZuIxB2k62OLYM20sif8DPNsu2wUFGmY0wIBcd+RsrvCKUIzBRoMBEHEtuB6AMIIDtIJSGMD8WAwg4PUvgwNlRibtIKUr8KY4UOZpYnVoUuZgmMBihkTiEfNVYwGdpLbrUUBUOiZkJiawpDZf5vZiGIIBoMCPdUBLX0MEPAAMXN5xe8Zrm+oTKbaRLoBiIjcg47JUF+JM829esqetdLXy4O1QOUM7Z4WgxI2dSDMDQ1gNuMDHqVa9mF4D79wJ0BVg54WqMXBsl2IHB8B3syzFcOdsTEB/T4p+v95ToQjbAC423KvWjV3bpLP+GcBryiQTVA+4eMQCvlzVMFzcCInHKemHI1Z3E4aBv1VMto3/iTCYdrs4R7EFpKZLKZiopAjbmTnVOdBM+Zyuoghvx3pZeL4X24wFGPwIGSwoVwTwEJiCIWxJPAhBB9DADEsu1Z6ACNQKb2TQz5SC6xmKBYCBIUj5guZFPFCAig5BSED5CCkeItCRAdAAHAhBMHB5Q+8RufoCKawqI8jAg8ZvsSWQwsxXOASfG8ToHrzUDLXfNLRBpgjvG0QDb8mAu0GoW53EG3SLocjXjgl6/F4KA75ALjybg4A5DRgCClS0hrT4i7O6JkUJpJYnoZZpSzCmaVSTjjfseFcQ0Q5dt9hsjgOqzDhQ33aUHxxETPxqPMT3Vixr2pEAUmXQW1jGnwkY/1TT+rG3xEwIqOzE2U8QAh2VtyPBxbGUSLFpdF9DE+xIx5oS+mrMgZcmOuo5wbu+1hh4BKjsXPLa+81ghujm8DfsRYRfZ0mveqsbfCXl2yhwYWFhR5DqCXQ0O8OaUdS+qwbzpKyvRDjLiWzeLMQLuP4eyojgkwJYjiBeiUK99Cg8ubj3CIwkLC9kod6ugsmPDHm4wSXqtAOne6aCw4FoVbzze15M7XGaluXO3DVpuJZyqKf78zFBtaCU9MFLvdhgl+hA2Cioxc9QgMZcdHz9bN6m7LvCnaLYZY7dbO8gD9ZpDCGVT5isiEoqfCc1SMkQzjS/Ekhj3dbvytZ3u6PQSf971a3leOaf7snr5byrtkU8JM3SnMOgqsaSfMlzHUpnMPX4kY6+B8r4vcmQdNU2KPcRzAAFqM3AL5LLwEzET33qH3PcxWvYnwiHM/DhJ88BP+zD1gEFOGAr7NAuAUBXefXd0euhICmXfJZdJsDLk3fsLJQo/Yfa1GTj1DzleNG0CFrd2DDIJ6n6Ys6ETxvtAD2m4o0zSL/Nu2fcgeoEgYghDEbnk7QA5F7pPL3qy79Bsv7DXRApfGwJTTZTTjwQYASbQDEwERKLBYGBZDwKBCiWkSM8DCBSFbQoCU2r3pIUJbJYPOm0B4oceuVzI9wZSGwxsfAdrjQqi4MSrJgTPEv/Q1PzECmayBg02hIwXGhCgAKTevojkwK8lBo9eaI7lZtwkfQymRkdzUQ9FTWVu7wzwjX1rIsMFSiFuhROTbptsg3YDZAYCVYWBJw1cjCQgvlIMwH9rKQGDxcfJy83P0dPV19nb3d/h4+Xn6evt7/Hz9f36n37fTsWwEE3ec4EMBhzRAgBIwAgSRJlqE7AR6sYRHhFRY6EC2LkDGR1ql85VcmKCCLwzI8QjYEIBrom0QtIQAAAGDuYcBmXnd+MGDyRCU7Lky9FEaGEQoG6ktM2RmgxioAGc8zmEJNVxOrIfla1msTpdGeur3cShClWNCQ1UQf8hSy0T+5cunXt3sWb/1fvXr59/f4N91As138KPcabkDGhQaLSdElx6zIkEwMdpKSYczZYA5xERRY2Z8fUplErBVDg/FgAZiggI/NjmfAm7NOp8TwT8KTtW9SGe6tm3dPQQwGvzzUFBxIFiKpg5cQtkkAlL9CGgZEdq8zXWq87i4kK3lPsLGLRXhZxjWpAixntZQKGH1/+fPr17d/Hn3/fyEcUjxQ2yCcoImBOnAUIsC0ARApsZjqbtHiJidqKgHC1mWBJywvKsvoJt/eKWIFB69ApKS1BpDArDAu/iESALgASgACbvAjwQwAI7E8KmUBigDNBerRCiqnwUFEmCVZxUTWJBDHgxeP8iy7B//8OEtFA57x5DaTccpymK5Nm7G6itShTpjy1UEhtgo7WmmXDn9Z0Cg6GTglQQP3uxDNPPffks08/9eTviFW6pOjEF1YYIAITYJjhwzal+GCFCCwQgpUKUSBBAsuMGgVTCaKaUJM1Y2zIC1EoaESEFSQT4NBELYDBTsFmI2kVsjgqzZQTD1AggjWX46fFF0QglkFDEZ00VonggEyDGlqMDNeDSEiAGx1Z5dVXMxKKSLXfxJFgBXFlYElcEVIrAwUPIkgUt/HACbOaSg9IgFwUqWNFsMew8yrccctd4dyyygRLghZRFeGV8+CVgoEYnB01TmGJFVgT3Oz8M2ONN+a4Y4//P95TX9oIZUUUWEZxFBUJT75SwSZYhgjmy+bgAOVSYYSFAQZNZjm8P2glB44MTzRAljxgUViAGOZY2WbVrjl52UpZBhI9mQlYKjpKTjZgaSMkNBK3IcWREOqTEXJZZg7HYSIoOurkWhauKHLza0zsNvvsKsgc5m70pj75XZGEAHwUsZq+1mKnQWa8cccfhzxyyQdfS+SKQpIhaRRf0G4WqDSfovMAaibFAtCIoQEWA9yQAwAepfQigosPK0IGJEeZgfO3BKemRGUCTCsBng1gQHQ8TGgxcSNsPzl3fF+YvQMpHRgVUqqgSOCBkynQjvT3HKjUSYZlnmIpB2Y3Y+1x/8ykQ01YCNC+GMunBKTmDNu2hWeWlRodmr4zlN0oOqA9jIFDW6OggOnWUq3kYUwzypvDjCY3QQpW0IIXxGB9IkCxCKAjUcSywKroRKwVXM9UnJAAxaoEBdLxThwbJFYH6SBBfaSQhEA7BwxFIEM6wFCEc9Ah7H5CsR/qJQFBxMcHK5YOHOojAQmgCnTK4cMMVtGKV8RiFrW4xf8Zj0aRmIH6uDhGLg7AhAEYgIrER0Y2ttGNb4RjHOcTL+yhQWxyxKMFy/CCdQWQdnkEZCAFOUhCCrJu7TuZGAu5SD6dSHVrZGQkJTlJSlZyT+xrH5IYoEhLdhI+DtiUADCAgQ540f+Tp0RlKlW5Sla2cnKJioAQXTlLWtbSlrfEZS51uUte9tKXvwRmMIU5TGIW05jHRGYylblMZjbTmc+EZjSlOU1qVtOa18RmNrW5TW5205vfBGc4P9ZEcZbTnOdEZzofMYIZGGcWNIzPE89IhycSAgPteYU77SKBLeCTe6m4QDv3dERFyLIZbFhB1jaCBmIpdKEBK+Is5LnQNCS0HhPoQO4cCpgBsEAC8ySHDVU1QguoaqOZYUECeriGJc4hhWpoaewUUUIoDOCJN8UpFI1gUwmkNKcqVYdNdSqHSZUUdhNgpz5dCsKYYq+oTZWDUEGagIBV9KSuKJ5EfzpRp4KQpl7/EOpWgRpVWM0ABhlQKjhS2AiLpoOgRlVHCiGq1nqe44iL+GpNJSDWsRrhrVD9gqpGSlJVGTQ6daWHWAdQU74OdYgM7VxYf8oCkG4QruDgwAzQRCO8ntQcAyjrWdPqsUC5NA2mDEAN1ADSfAxFJ3KgjEzKYDYX1rB62OESXVTrAdaOA3kn2+wbQimFE7AOCq7Im1JlcDIE9W4VRKlBrKJmWgugdhZw0Jl8pAUsGlmrgLUDXHNPeDLjtu5EXqsD+rIqB+9KZaMT2BqK0Is44FZhAuRrwock8IBKpUxU23pD9aYFIxe2t1Od++37DBogoiCVZcXVUMtohD7D1UHATSgv/7Nk5qgKScUcpCvNaKlhgsKJtxz2kophT+RfVExAuqrLcANZ9h4SMxd2y1XwHGr8Ps+m7bvtcCSGbEFfWLQExO9TBpE7xSD3Fdm6uOCQgQ0gYnBUqFK11dj8TiFFl3aEu3ORUHhSEYmqHVQE1sJyEin2jAxdLs3vwFWZq5I3BNqGOCwzjpLFbGAzrDDCK2rGhSGoFhaDA7uv9YvJvnwEUC3uuDBbtJ4z6WgNw+JbS4BZdrczY7uRTyOV5vQjWpC3QvdkCkwunBS+VVooEBkDGToyhmSpaCaDrsL7MiXcYAGIksCM16mGhaNAQkoa0KDUTJMZlekQa1IYlg58PvWkB/9taBnfOgr4lQmzVZ0gaC/a1DkT4p2PjY4gwyIrSu5zERp9srQUgM5FHgOoG+ZsvmEaZspGxbA7QIMHjDtjyKEGlzfyDG+3NhKXLgKtdhMWdpATHfEC+D4Y4+fAtAhBA8BxcVRTXA3wk7im0NILGuBx/+UoRg1AMe8e8i1nVGYFCRDBr14r8KA9F9F80VJO3hRqnG0gAimvxihETvI2FyG+MqkQBWIwgBogaRonIoCkRAABokhrdRGYVAZkUoNid50GFlhTtCzg9a+Dqhi6/rHVRoE2NFLiBEt/1ku0fAsDDAvrOx4bsy4O9I9MrcEuQMEBpH4xJ9GxQ00Yu9fRCwn/FERqg4T/QuK9TsCi01wcIQcBybc0DuLs3elBq9QLNtiidx2dJBlovKT8mKSDkv0DlOdFpfZ+5U0TYIOfZ1XUN9gCz0wi2PRASbHHngYG1eADwhc+tHRR9x0qSirX4zrZwU6QpMOd9I/KBeY/9XFyT/txAB+AGelg+Z0SvMfwgOfCvTCbhxSdfn+B+KAoJP6GNwSHAzB/92mHki94aOcCkAUJmYYwC5Ly+YpQuQrIwB4TyITZ4JEqIb/AsDn4gJuq6wgMeAFrcRTSIYAxEIWqEcBWmxlvWBw7yIr7CpUAETFB+CdxkA6/GT8hOTwD+AANpBMVAbApKZqgC5VeSIDF/0qOhimQBZGMOVGcTrm5naIEmbiEFqQ/xem9WaiQQuM/OaiZJkGHEPQ9QAsHIlQLIwwH0uGfnkA4H/O+cphCVKhCgcjBtDFCDsyaU0kNFQSHIPM3c4hAelIJThIIIZAzL3jBMMoRt/kbBNyp67EKLbQ3MRsH0oGk70uC6NqcMRgAE+iADkASGLjES/QaULrEUbCBTXyBrJmAFugAD0gwCIsqS+REajAYaIAnFloYMREcB3ixKfOsUoSFUzShCHgARkGRDkAvZMAtwzgASWyCF0C083mZ4jip/bqdEziUatjEYBRFh7qRa/QGMHwIIAkQDumWAJAQ8QGJIXmgFyEOLP90qUhwPxgBlkq8xIPpgFAUxti5GFx8gwmsnUsUOSiQgRdTxeW5xAbgL1UbxgBwuGVDvEggigRogX4UuHO8HJ4QR4pEyHI8I1yBH+WRE6DZAnUEHwM8hSUkB0Q4vweSiTyAyDPsHwFQoJaQEy/4SHRMAubBMFecji/MRyrxAtKhlD86BE45gak7MChMwi2bRb8KAwwwElPsgErZxA7Qp1L0O96yNw7ByMBiDwT6ABFZQ0HhyTdYN3WhiqNhvTtbI40koPdIoRaYGgroyoBLyi9YStmSQTHJrhf0CbRUuzFEhVfcSDtpy7f8ACGSgeRBFW+4w748vwaRMMkYw5iEAkr/EJ8dQ5VEtEg2jJEzokqhS5BP+UQpiEp8+7ep0RwUoApp2TC1aMacKRBmoTOxUM1ja6G/ZEfjYTVo+0No28FASzY6gDjTfJ8z0s0EabLAYZVMg8AlI4OFaA3nJBJMmA0I2UGgUIaH+LTbtDcFpJm5FEEDVE2YCQ4A0LYyK4mW8C7j0rxdMyEl65onGQLsTEKBaz9TaBq3wJUMObTvRACwkQynCEfSwQwJwLp56kYQgCVnM7oRRKSDkCXykxMkIJ4xcIy+2UtbE5LeegQyQ5e7LEQwnBICcC3yYFD9KY2sYIwGKNBwCMc5wC47wy+n4M1MsM63aIlyUzVb+MpybAWY/9nB+txOLuwJBGhRM7Q01CLABqUAY/HQPiQVsCyGpmENAW2GFU1AAPTP5HzL34mv55OMCiBQBV3E6+LQU0jStAHQxBkA93wCg8COES2CuIubOojRyNEwFLCAp6RIC3i9EbgGFOg6G+CFYiOgGXi9YrNKsDQDEWg0/RqVUsOV3nw27ywtLcFTAnpS1kwgEbCBVRgNP4XLNMCNGXjEensLM7CARnMSS7UATAVD0qFBO5KECSBUITiB40PUjTqR3pMW1nEfA8g2M0gNa+mNTRAG9tNOFNSInBuEm5iNSFWk2TAZJ7EAG6AB3Ni3rrMFVnXVOrAI5vCu91iZYWm04DAZGv9UoCfVEqgxAHaVBAgpBTh9jkEbCuYIMiIw1idA1pLrQwwggixF0/GKDCagABEYLl6hxR07CD4EUlrgzqD8LnglATitUNWIjDtlVEfzghq4IxZJnCYLD+qc2NigE0zNCp7Rhl+ZQwrrRzrxLk5Sv2Z4gGJbkxfouvJiEhhIg07dknx9g20risr4ABEoyEyVlmVZk/A4kU11yx/1Q+Zg1mmgCeEghCbogKEtWhDVhJd1WI37P19N2hxZVuSsyKGcnReYp6ktUkG4WqKVve9sFaIdheAot0YhU34FojXRWm/l14o9wMgwFBG4xzZls+sUgt9gFlSxACT5jf2iWSmwWUT/tVMkeY0zJTT18LJcxL2W9MtmwMFSQ7O/3EPKGQ8JGZuQ7E03xZqfaAFbsACvAZOHFcFiZBZAOFNKOF0hkFQoS7gAiICIQiPzc1aIBUonFQBN9FKtGQVglE57e48TEYrnGrmOYAARSEq/XT8AMJmUIT/KyF2/UQXiUQAQ+x7iQq+Q/A1RkJ/D9RH8eglBcAtImNAYxBjszLyOGEqCWFsUkYUabdGhUCi9VAITZc4pWU2FZJOdk9R5/S74nRKYZIkAdheTM0Jr8Yw7E9bnVLUXGxu1iF+SPaH2GIXyEgV1PNr+89GD3AnNYcT/UyRMOsLV/YLWPcDn5d9H8AARadjU/zoYDjahAJHhZqCBTnjaOLNeSTCI3ijSCbAAHdbOvmFhOumIBdZMswoltL2c5cjPIx5gT2OQJOYMgD2CA3DikgOJt5OXUMHRGDm/2hwzzYEBL3JjsZXgbggQ1qiQXNhfv8HdrKkQRjS8xhEa2whJp8hDg2A7fliFtIBWTVjKtHNMKt7GFquODcXbLH0d0GOT4NwMHlQCaVEGkiwLPkThKKzaJtC0nmQZhMPgy1C4dAOAAPGDVWAI78HeSObDjPMvy3tF7MjS8yQgdew0MROFF4nZLRAGWrVWGrBWG2hmZmadVwSSeqXfD4lJW9bfdPPNkvMe5900mfAuJViZWMXUi/9NnjOIOeISogB5RMjUUJp7xd7YTwMGZ1EahPZD0Sm+TjpTH2a7tHjmjHmG2yYVj1P+5AuggA5Ig1A6ASlBnL11Z+B8TJAoQ9UILtU0JVNtSRQxxEx2UefEZknoZqolUSp+aDU0A5DyZzuj5ZasgArlmQOQ24elUpJGBd7tCWJOnHT5Okz12oHLTDERAIXhJHY+Vbs8BuxCNbAQBe6yuk44OONkiXkKZMaRz+0wDgA4ZIK7OXktW+04ogRoAA11Q9FtgnbOLdpI5IBNG2XzxQyYAQoQ4U3GW0tusEi4WBBWC9sVuhU4SsY4yi/wqARookaDgbMirhOcgWs4gcMehdf/YBYGSINR8QMhiQDnLIFrEIuvBGoLicW0SRmvrtBem1s5oAQDYBR8UhiJKFIYBodfftpqpg3bk8HRbhHJnr57eeA4hKBxzVihO0DWCwBrmWbZux5paeEHPIU/RukCgu1oC25tcMtb82qcnmFnTh5xXV4YqJQWrMi9ZMgVkgFnjpWMsI0lhs5mcKgSoFwvGG8beLHgAitRRrZiDAAcEzHi0Nncdg7Qyih80m17Q23uzlHJGK2SsD3MJghl5W2MGQCDVe0AF0j47hQhSkMviAohcOwCNwzaJpUKlRBSXZ552+0aBisIB3CwOG3VnmuJEGtNoATvbg0hdKkWCEUpEAL//1JuCxUA6d41zZyGGjVgPOXvypYCFleY3qtqkJHMtP5SszZl/pAQFQYHidyyhSDriNsOQyaIPPw2sj0h2k3vEXk/gxZqWDgAkELkwJ6FM/YakjNHFdmAAqmBUXASaLvhhzjsV3sC7LXyt+FqpPyuJt9rk0PC/2rN6RrSvpHkfJO751IAcqJPDS9cth5ujo6boykaaYUgtLs10/0vp83M0IUt2cWJin7yGZ9VSP8/X8uRIP5u/8oedVY7NG4G3KWKqbXrxnQAF7iG1yhmGPlDWUxggfD1n4YRVK9I+/ZyPAffagtwJnlzXL/c9mGJSncMTT9ZCHKfVGtHgQi7jzZEzf+09e2bAqrQc2zP5kxthhZBgKMhRJs+AsoWsm0mHxZ7iEaXEGWb9U4udWT/AkHrBr91U1tw9jtYY3te6+ygIC3nj63WOYabTJZ0dJGcgzSieLAcDCip0JGmAy2BS2IhoPHgZJJRAi3zW4wqsXkC7Idj0ClxGzi4tDkGdwTyAOpljkpjDexVjsb0asV00Uoe7VQzDmnRhpJC+jUwhe5gBglgg6eH+lWREAoIxRuXAhto2VO2ZsDZ+fOgnu72gGfQGWZ5gXnk2eM9Rb8qyGvIwMSJ2YL3jQS5ZeLgw6OYBYGTEAao+lDC+tTIHgy4BgPYABvscJlkyQsHD02IhDvIe3r/DKUOyPqPyEHrvraCo9Pi5cEotHszfUyPP4UDCgYPCIPsyuMXUIQploXE345c8HzaKO2AZRZndmbGTfsOM/2SQv2K1/xZVH1LNo3XB3HZtc7EuHrZp303sH1FGN0AGVqoR4OMnrZ8J2UKoe9NE6N+b4LBv5avhPtqGIFKMVsHTRt0XoOnV+El/xiHF3qKb/nO0AmNDocL//g2nLSN/6MKFYQUmI0milkgmGAEm4DxGCgITiSkcZIhIqHSgFCAYiFLgipyEDFdugKVUzLCsgDOttsIERjMR/Sy6RgSNNtu0ZnAkmDlIsAAYjXUhaJgpCSQ8hUnUPF2dHV4xNZH6XaV/8X5R8XkQEYXkBDHZGm0INd05GrQVKJIduuXhLsrAMtZORW12KgrcNAWOEiFAkLFS/Z3NCCR0OjaWQxsJBHyahXF0BDaZtK1ZykxVsYawIV99PjchfBFbd0FvKwV23XqNglskr903uI9m2UJ075r2r4JOPdmQpdwCRftq6POXxtZvjhFYmckQQMty8RRodCRI5x+SOwgbNfloydhWIhdO3ZFnpQrKJGorKjmTMY2AlumWZWzZquYS98FsMMk6bMiJ1N6S+UNZJtHDY2Ue8hHK0By5sK6mZaAD0OYXp6meYkkmUNmAUq1ZfdTq969fPvynVAoWqK7do9ZwrqqzUlx2//e0pPWYkaGGV2P5AlqaSy7ZcQuDaHID5IRd4ws5WUr+AgHfIqHCL4iaggFxgEArBZtiSsgVbTdOMhAYQaBiyuduqR3ufQRd6k1Bfj6J0E3OY+ls7RsEaSECL3bFPYku/e1j5+0XJsNj3XtTU5Oq3T3zPVzAzDq1y/UBQaDjqPVH7FOXUhvaeTEbVTBQIF9M8CgiAEZGOZcbQQlxlxLY5xAjx0CPNbfXQmk4VQb7mTCijtdmbCgfRTgJ4B+/GF0xxNDnECbdXC5oVsAmjUmwAz0oKjiDDOQMcN+CQ2BAmM3jWNJhQlFQRcnoL1x2nLD9GWgjG25BMuObmVFWmeATGf/QHXdzGHFCDBkUF+CDc6AUxSCQfXiFEgiImV3OvqHCoj0AFimgNc5uc2FCEwwQor2NQgDTvLV8RYsOfJFUKBxTVdZbnz2uSk66jTxSWdUWPoGdFqColWVfq3KaqusANYWbE7ASgA7j3A4BX7ajNgbQZ060il7mODJCp1j+ucMHRII0xV3S5Hqq2BsAOAOhLU59AcAAFAR3XQyLXvdU2IGcFtlsuAqIhlRpvcQEpchpQiukzRn2RBoGnEbBcTwisSk6DxAgwdmtdYuMpjWIQwd5T01HQH7LtKdBCvwc+NPEjSwXQIRaMxxBAPbqZQbJraR7z78vmHXvTj++t8ktT4h/4wv7qAXwDXRACiTEXbR/MYk1r4x8maFKOcGVgU7hFtdE4kjgQjj5gTMNS/rPGOdhIQcQAQTOzGJco/QPMAkHmzTnTN/RPDiI0QX9/NGWc3KrBMREOudvQrrgcRXLz0ytdIxPhU3Es6S2wUFJheuZ2jaXNG33rCgTdSVSPi88tF1VY1v4YcbwtgoMiNOJbJ4H/HVhh1Ouc3WCazw8W2JYScAz3U4PasiXV0m+2EuFxpg5m/XLYeyIFY2uE+/u4p88qzC+lpgs+L3ggjS090UBR5Iv8ImsHYhsAz45fzlr5gkzi74mRXugQUeMAbfAQpEoA6qhHfxQgNgxPHYNQzEMP9ADerc9QQyRE8EHmCDrDzjhfa9TxhRQoMBPrACFkhAbwhgT/WuJ4KtcQIzVjLHCiRgAUWURkMG8AALIjCJdyyAAh8QQQQeQAaIDIYIEZCBIl7zGfKBDHVwo5/0REAbBcJvEXjSB8y6YBgNWU+CEWgBFvDknr+16hN0k0ALPkCDDiyCBlzsHH4IUMMb+uQEEHyhImToNqdAoQMuFAEMTNGvwvFPBsKIhkT8cMJJ3KhmuXhS79oggQdgEUQo4OIHyAcrEiWCjREQAYjWoSUkaqAGijCMRGYQvRU0kQw0gw8BSCABG0pOMUMjlhI6AMEVWOCRMrkGFkDpxL8pAQUW0OT/A4SRGCXAoIWqZGUPTccKVflOAPUDQwdItcIywrAsRzSGBJcJphh+MISjvA0x7YdCSzkDjJTsY+je4YwXSNCVe8MACzO4SjKAzxno6tBDpilCYmwPjDKAxuS6cAL+UROAiruEMMQpAVdiiHexM+F2WoABigjhBDTIoCPt2R5vTqFHmXwhJ7tjs4hkgJEPDdc1DMC/0sFlAWS05RnNAp8XrAAMJnijuY6nvJjK9FWP0lJzDMKUWd3iM0VkES54iAbbVc58O9Rh7XABDKPhQmVPSeEttDkEW9yCXsUgg0JragVvKhUXMYDUM2qlLZANaSLUg4/8jBC2g3DoMrswQN9w/7o0J5TuFuviY9JoigWjwlUbW71FV7U0JQo2cxcUwJMSSMVHxK6KiiDjBanmqi66wZVzweRTUsYaou39tDfWxMU6E8aK26BxomqNyJ0QuIuGSOUWoFktGVSWVse28xJEZBcvHGbbXchksv7h7UPGJdpxbQUDiq2DU1/LockmyXilDUDYDNAF6CK3JceNLoc4IN3X1jWNDVmAvdr6GN/iFgmi/Rhaq2vdvBFJXb1xhlRzx9zuyoNUziCsSWjSI/b2kKm0fS0uNJIs0/JibDCSbW71y1xeVOaws52pgx3MrWAAMAEoukWmItABW6CKcY80QAf0BKAQOQS+cTTGXx75jv8EuLJwdTKBVAXwYcv8L3YWGANVn6NhkshJwoJJADRl05EBPODFDySGBbMGIuie1W8clIaLcYEC/kQAxQaAkxNqgYsXCDcAMsDsQ9obHq0Y8TAmwG9DfPzTjnCmxC8DgBV3MQMCE+51fKQzX7QHJTHVFxevA4AoY9gdLN9CnHjhk4Y4+ddZofia5JDqCeTcwSXHxUu/3IWdETjepuKCAok+4gtQvNxtRGYXUXbCAJ5MV6s9YWidoWNbDzAwV1CABlJtCGTzgysZzDi6sN4Ny4x36bz5FMZB3AWh4xJLAcIQLqd+cQda7Oze/LkLMa6sUxKQbPrBMDEyWLQcej3pX5//Gr+vbEM9b0EAPU1g1/Wz9pmTDd0XbLsjb8YFDAi8bl64L11NrgNCSf0iu0iaR7fgNCBRTAAn9sSdAiTOEby31Be8aDUDfbDFL47xI0mhkRlk1ZL8SKOZNg17rAAD9hLHcQ1mfHYkf8PIM7jlvhy5aBwHIjp+yLqz1NyoL1d5U9q28m3gPHk9N2rQWdXzN5hcekbXzgqwF3OhS0/VS19B1I++KolBnR0pd/kPReDwuOzcVRrDuXlb8kPqGSECY6e52bHu3LZ/Qe6A/KFRy870ktdc7U8ZuqterkO8wxx5gtdh0m+e91YBnh1FB2TNrY68l4M98k/P4NnX3nKd253r/z+MANw/D3oIYxXpUdhjgSQa+tSrfvUZB5fpWQ/72Mt+9rSvve1vj/vc6373vO+973//qh0nT2tGX93cgI/85LeK+MpvvvOfD/3oS3/61K++9a9//QNif/vc7773vw/+8It//OQvv/nP78cbo3/97G+/+98P//jLf/70r7/974///Ot///zvv///D4ABKIADSIAFaIAHiIAJqIALyIAN6IAPCIERKIETSIEVaIEXiIEZqIEbyIEd6IEfCIIhKIIjSIIlaIIniIIpqIIryIIt6IIvCIMxKIMzSIM1uIBf0WAP5kozMHDs8CFTZQmrsXA2SIRFSINgYAEWMHiXkChAB/96HJABoSZ9iGJle9FS1WZ+KGIkrDBzroIiBscOXch/ayZTCZAWbrBi26UVvoJ67jJ6bWBy6tMAYniAdGiEd4iHXOZl1NY5b/h3SahqK1NculcD6nN22qcVBTAEOah7IGQBgQgSDPZ5/sKA10AgrrIwEVVCK+Bze6E156Z+cTCITwFNZICFeYiKqViJzRVhMhU0bjBzrhBsuJcAY6BIPMYXkph8r7gqhwWJDrYWDgguPcgqjwB0sviLIME8rGAXVAUfUBZ2qiiN0+h/bNUBK6AxtwRV/NQqvBiJMJV7BHGLl+A8eyEDNPAB0Yh1dGiH3tgXwvQGYeUqDCGPt2eHrHL/jzP1FUQ1RVFAYvD4F+XockeROCVgAI9mS2SQKdTIkLuXjw1pcRl1LaggAkX0KAMwAJe3F+4Ih2Hhi783AGmwNuQoBQCAkRopfSbykKHzEhnJhfdYj9+0kLzHHtqykp9nI4xoBDFpbU4IkHuxjKH1Kw4AbsUxk743czepekrpgEwJfk6JPDwJkUGnixpFBDXwRvRDHDLQAc+WNx3QbqfWlfjBAF3ZlZ32HGNlPacRSDTRARxiAmBJPnH5bFbUAR5QA1qklX3hAGYZXWYJlvLkGlgZXcd2CS3QATagmO0GSA9QCNBFAdfoF3aJl1lJTGH3G3LwbZ0hlh2AHzAAmGgp/wOWaT0RdQIikGxeeQa3ZIqzNURksG/x5W9deZQux5qFI5ln8G/0oydc+WGuJgf1Y5cv8DF92QGdNgHZlm6AhJgeUG+GAGlAGQWj1Q5nSQ5d+SJuFgWzqCq+2QBDJkcRUY5iyDhaAQCUyHiIaZhPYAMd4ISgZ5PiB5VTaX5dKJVtMJ8hiJ6NtQsy9JHskiG7hlTSwFtwkW+pBSyjKIok4FrMtJMg8Yz2FUn9OTAT4GWmd6C4oH4CdlsDc2uU9RQCamHGtQsYsAFmsWJPhSsZOqLqtQuoE4xK1HSVBoQbdAsnoBGHpZeKgAEVUCn8sSM1MGx/pCUwMGzjqBWEggTnhv9GrlcnWcKSaaOZu4CWNhUhQmEIdNOF21ObWApJqtGGq5efyHef9JmAY/qBH+UBMZcUtJRhwUMxVvESFsBF09EB6MhFvlA60dNhsBBbAvABNUYG9MCRBJEFbWoBscRfm8FFy/RAABMwYYGoevmlpPgCNDAGpncbDyQC6bShnsAibhovsIMFFgCeR0OnNEBIhkQDvvAImCQC0LRbrxWoF5BD5xVdNJBO80CqtHSqfbMWviKFe7GpLWQBWoRDhZOEICI7K0YB8hYFlXAbOQMuNHNHBbWrsiMVhYRQSAoS5eIGP8okWDqKifUi5BSoXzRziBiujuEER7ZNKCkyEqUhOnn/pcmDpsgnr6iYrzLYr+aXFB4GQb8UDY/QSr9TJSNzZBryEQOgqLBwBXPABrFFFX4oK2azk+OxKiGJNY0FIQb7Bv8ZR4ilNX6xPRuwCRoLLGBBNcejsE5gF/l0LZcBGh/1GOCCDRH7GBR7BJNAnGzwLhzCEMLKd99Isirns8QQWznjShvQGY84GERDKEmLq3flDBVnBQLjF/tpVwewCbF1iaZiGjB1DYkBK/DVirpzPBbkDMOqF6NAGw4AXdRppnXbgP9qftOmLr7AE3HrTVG0RxxJBYoUsbAApaeCMWMACguwILTAGn1bL9zIeCIZjXAbuVSlKtdgr8pYCDzTjNuw/52+cJ6b8rLMBT6PQAcSWRtie7hRiwhOWmLacA0foA7D4XFE2kPaqgcoOkqX8keT8FdnC2YsG0mVgKbBSDChNrhqdxyVZXoftxJYi0CfKrKApA48tBeTwrV2C4B423v/6r1GmJzDdi8KgUAQArj8wZGf61WW4i9csidMoCGVcC5RexFX8J7F0g0MULlIcr9R4JMwFQ8QNAjLUwj8608mZr/j2iGZokdCAsFjFTWWNTrvGymDgcAdFA3XoJbqmIgCFEHewUkRPFbyg7wkg0RHBBpsRcIz4L8JjL2rcsKScB23AXTu0DdoSLZ8gowE86kAeTKrYhfnUK0zqn/hy71JDP9/TZNspUEFfZO2PRynV/YrSgq/iYUr8HsbKmA2A7C/92U57KoXdjBwtAIymAtTq2UARQmUhQDFj2LGDMwWlXFozzDBlXpHmVC/7QsqAtkhG4yg7/q2L2YMKKUTHDTDdsKDWkAotUDI0UW4rKY821shxnIslarDz0uke4yLrIAVr9fAf5ephBqmE4mf6yeGFlSmStyCSCyA8AEqWKV91ZuwVWwORpEVUswjCGEXKWBWrYiIYpyPZFy5fizGz1InE6BF2UW8bRwrcOzHqEHFIqYhB5CEnaqEgPgsK1pbuswwMRKUGhwaN5qMEZFtDjoi2IzN6QNp3mxqoogAaUUqpNH/qelTz+qTK5L7jr82IQ1wGVPDHmFSaJeWvj7MeKOsKSKGJSksipdYn6wM0R5oQWmFFMJnpdsMbOpry1tywXYFDGzQvODyAnHwAjAwAxYwJOQhyxZNKZQLqrHC0sYDynEnqOHytsZcjpn4x9NcGdZBZ7FoWdOpFobmJwsszk2Bsl0jXDeJhP9DB4WRjz9ZLRKQHTrjB6r80p+qF0rKXYkcW12auQibxn5oIU+U0F0qNFgQAS+sgKv8fa4M0XANnwCoCvQQzBb9ij+4R9+RvKJSerDwcQbkj+Igz4vYDWOlMCx9zCDh08lszGT9k0cQS2idz81TBcJrujCbwlvxaz/H/yTQO2ImEWahcbCd4Axto5RhlSM6PbYzPRdfYS2sLZ76/BdCDRTBETt6khwePMWaKKcvstj9lcNnoDVXpxePkJX8+GDx6X5yHdHPjXwOwJiRCy8wnUDelDL8UZ4Lqw4VNEywMDO0UV7DFA7WZK2KTdaWsAm3Ah5VINjc6M7iIledPRNEICyPAiDG+xT4AWDTOa95pQlupkHnwRhG8xHhDaZYwAc4U2CnEIzusKjaAVzq4SvEIx7geE9kIL3ziwTacnzXstgw6Wvl6sU16gTbK9Pn+jvVe0QbWi50WAN5mjx2gU/lTH3O/Xw4foc6vn1lyuO+xwWwyna/ygfBXFOXAf8nCfBnexROaRca+XRqGg4LwkoCFKaQHSQFNA4Rd03bY1tQmRfOgyEYWqNJYsOJK/C6I1BSEvRk5SpgyRoNQnQBSkY9OTFANhc+j8ZENmAAJOJKUVZvIReiE1HlpbMrsPk+8XMRyEvglDLnEMTmg4rlKoWELpXi7PCMI5lSKxUGlj69rrjZQDNdRxXDbgMXKSvWiSEsMX0GBMkKKD7Gj6TV0E3rte4qEUrOF63rdayinD2gBGVpa8XMMeTXrOErEBLMpcy5m6XrYt5f+YWgvB5DJivLNdVXpnBko+tZCdwFUlWz8tAQcntbnWE0UgVSsVtgdDuQX2VBKdqiCdpgm4D/s3c1zoHc7JEHJR4srMIFsqniDRZUleaqGKzuLsq+spTNDtaE8LbO8A2/Gbs5aHwrJ6seKwg3b8hQYVfuVaaocB3hALvGxj+YGLJwCmmLLctHqZhh8mnrDMPOGkJGyB9g3PX9GiyNbZvWBNlOYT7VEM8pXffGDwxlCyV0ZJl5C2yMCudMAegCrqjl0GfxAHtYZOY2pBKX0SBRtlYDcbeASWoWzXohhpbICt4y8LmtF9fgASuQ85lDZ978iQYf8Dqs0H6xM0Z8Z+OXjyv54w7P93AneXaveXiOPF3HCnR3fj038+apHX7XKm6Gc0Xbd9MDi1mzeV6XeSundUv4BjXn/3nqfa+rwvmN3xdkaL1SFBpee/YFB/meYuLAM+syZcMQuPd9/6C0b/u3D33lMIqtC7qmX2jqwttvEGKSG9+tV3qbi/vJr/zLz/wgEQGmCkdtwHzvlwCdCiLD3fzZr/3bz/wG8frsd624y/3jT/4gMfvl74EfpWX75wwwUKXoD//xL//zT//1b//3j//5r//7z//97//////////////////////////////////////////////pT1er//8S+Iyz+P/////iBwQLwVCAAgWQyUDEYhGtFErplBoRXY/UgOT51H7Bg0RCoxSP0ekymB04r5UJa3MFb9+/XJFH1AAnRP+c+vAICw0JTWYYSA4bkxIpYvDQ7BzbSogEDBAsk7gE/ZQmRmYOOk+RJjIoPFBdX2GpJloyYGAWZTtgKmJ7VWdae4WHiYuNj5GTlZeZm517FwwMPFZWpiYuMjVfKu8kIDINJKdkMDIJQjslsotYkgq0tY0sJUaGUNxT7bWn1R/MBfCSIiMDvw7plJgASIRAFDwTXAyhgLCegBOMDtWw4KFbIXgGMCqDF/COg4ICNiCTsCICOJDqWsSbITDABHMpYUloErKNTZTPgFpysFATp2s3g/ZEmpRpU6dPoUaVOpWqJSEXqdQgSmReoXXxSCYE29Uq1ywBRoJtV3YIg3Q+wZr/OjThXyaaSL7Gw0CBZwAh8RicVUokhZKKmw6twxC4k5CXy0be/cKBiFtljvsWgqgWZ82CnV1hCntH1c+qTweAE0DhAw0aCJP4BC1V9mnbt3Hn1r2b9zPM105GkvPABWOPQ07EiBDTYki4L6wAnD0FAJihXPMFqOGaOw0LJ+U2un4vu80OB1iK2CdAhaGK2iRXZMXyAUMlogUQSN8CHyG4q9M5LLM2KjLOkd+W+UsyKlIjwoD2kkGwEdVO8KABK2IiILalXhFtwS9Km643lewhSwsJXBuHqhBHbNHFF2GMUUagJHznHhCqS4Ujr06CEK7CkKCsCIf+msiR98j7gx2j/xJbby0tAGhwNDzee8GEISQb4AEVkRDNsi3YkStHQzYjzBN7HitkgBIdOlATjAboCIkxT1FwMCLCO6ZGzQrCSokIrEllqQHiPMVDNhIYQFDTZiRGgoI0dDHRRUVs1NJLMc1U09z29AmxUxwYgoA1hMyvjARCGMLHk9hTAoAIOoj1hTanoMwACyLq7wvRUKDVDRNi7YBLKYT8IBtdqetyiEq/SKCFF/w4lMCCPg11SDrJxMAAs/BCMyQJ6rqHJweCHcKAYDuYdSBWK5TiKhE6AAiFzMCdQQBzUAhUiho6IKIUX+3Eq4VY7xLtg4KQDQDYF+AFqAOeZunAA1wlCoaKPf/9MydSED/j19wXsgtAhlh5WtiPARaINSIBYECXywn6FbWGz6RwAAYHD3Ao4g9r0qWVkQ+qbwgYhiWTuSEktkOCv8QdKNYGWrB3NS6B1UUidHka2YatO+AZ6AYIIgJaCWzowAZ7pzFhWwGGnSUTaK+JOT8RaN7U7rvxzlvvYfbkNeQDt5XrPyN98jMtAcIDAABMtjVQis0ImKCtv6VQDUjD2JlSFEgnsDdhKka6nJAxpWWjND+FLEyCCBqQEwxPbw5LwFQytytH/MD6cgvVtNkADqb5YbKm2omQ7ErAEAr4PSOTUA0B55U4PJMTmPyvdy0wfghfykXZiiE4PuIpfDD/1Rri8vHiAe14bSyTPD8trktpJO8hPKRUbaonHsvozY1HRenDIbzDYaBSI5HbEDBQAevFw0/aYRURqKcE9F1vbxW04AUxuLe/9EVIzDoOSRLAOwHMgBM+mQfuGKWsJE0hhM0xIfdS0SfYbGE9H2oQSHzCABhuYX3CO4S0XBcAa+kQCfA4gXoykTM+WUQE26MhBrAiJQN8wALrMcoEXCO0KXJnR0UUmwiOdjmmTfE7bQmFFL2znvpZqwgWENr7kmCn96CAIggDQeqUALwDlPFJZSoCGIt3seY4wn35GVAqVtZGuTGpRgiyQGv20YHuYCQvrAgXo9iIAjfap0CCecT+/8ZIxZNsrBD4YYUFWmAOo0iRilaMo4OouLKNbYcGzIFBdxAiAxvUcllaOBwFXvCAgijwJB9YzweYI5BCnnIfzKukB96YwgxOk5rVtKZtruLDyLjCTsc7QKoEwAgTgkACN6OACHp5H+xQQTSmeOFkeomtvCSQnfdypzmI6K4RZkJ0jShdHvYRHuDJw5OvMwdItjk7T61SNbNZUxE6Yq0Hzek6zPvLpx61v5oclKHpDIBqRoWE60QQCQrKi4kCIJqUWCukJUXOFXuESI8KqVdTyB4efskw2MAlJdX5y+XG98o0qfBDXgrFeDozkpaOlBNBlcJHOPEXP/mEeYR4T0M8Qf8DjCwUCVLqjFS3GpGqUmowlWLaBtpkARL4REOQq8kQ5KIadblBNXIxqkil5sFr7pWvffUrLPYUsDqpqjQoGEA2IshWv2BJpVLAD0q3UJD2SRaG76mfYUZgjplMIaPtc+JTiUJKR/xTC8zRXShF8MY8me6gJLBWr2bXQVG0RTAF4l7o9NmqxaawsQGQbWxuFNlB2mg0fzkAOz63W15UpIF/Ac1vN9PAjA7VpdT1Cji1kSeqpiN+QuVJ3zSa27uMBCcZbSBa9nc8XkAEA6bo5G7z5BIftmGIM0zCb1NBW5ciTgnyfRyHQATgPN7DVxv9CYsQXJCxsrUMgkWvNP8aYQn/T5jCSRhTYMPbiZEgYMNfwUppCOCAbWmot4ZhgQQSIMiwmNC+QpRIQZEghwS0bgrb9EwRCqpLG8QOx50gba2IIDym1e94ujMdtUggJRXMzk45mt2ZnlQ5f82AyjMAiEAcrNgH30Whn1XhV7VBAcp5GCM2Vm73TLOZfHrxvNU9JCFkwOPvxVAAa66NmwdM3R+3kKRfXpSJGnsdU/BKAXc282LbfAm4gsHBTz70VfrCoiNDeL8fQjBSvrJSIsCgylTeXgs/5ecKj5rUpb7mnnCLir/YoJfvEaeCvZVSj5bEo4UtsBf5ewhrdcbWYIgAQFZriB+rM8O7JeVXQs3aorg4/z8JiLVjhPfkbkUZyuULy18u6z7GQNswqUqsgEs80M3WjDxxEs3G/iI8BnvGAKIdSdFuagg58HHFGtscoxr5JscWm4bLTkJvQbzvn3xFQyMBibWw7O/qzpcNwxZqtGO92GRz+956vXEB+W3glGS63ylBIWBODE7hldjUJTf5yTMFaSkcz+J3AJ5lmFtCogCJ5G0YCQW2tmMi2ABu9042IUbCAK7JjectZvaaf5hxFWoOvpjVN2nMEUFUDSEGqXqJyj1hdZ5UJLnv2WMT9sAHtS58tj3GOl68LU5we3Sgw32lWizq9reu5c7N43e8G/GNdNZd4zYaKsX/ze+8XBbga///SYPomLkK2Moo+bYuG4TEM5eeVwJax7N3/0vpzJv16Zvv+Oe9FAixb2QP5NOtqFGeetWvfjfgpbYjDreqOvvhP1htOtCtPYS+HK+lhgAgP97svoQB4gqDAIPDHSC1YO9WdNKe9GNE84JnZ/gwEH99AKYeTjYcGnINpv4+ZE7tcPdSNTWddvkglOW6vRPz+nx8J7p7cTSDeeKdJypn7XHewos/nZSZgQUwAAZiYgPA4Usc7820QDT6Sbyc7lMO0POUjfMej0UqYuPsweNmDf/kruZYrwM98ANpxP5u7PSEggg6g1dOBbuMwtk04bKEqMo+JxFsYQYTiQJwIQmyT/L/BiBqMmDcHmEGOG0GpWaEblAWckUw/mMBBe5DxmP5ZC2FkI3hZKG1zs9cGMG47s3Ipi7RzozRFi3wTAMLY0PBaI8MB0wAxGh/SiPXakKsmqAJPIA5cOKniA0ntgvKfk7iEFA89g7AJO0JaYIFhwoArGX5Hm3vzPDtgMRa7CXENKER2+/yCIHQvkAM6Szu/k4E+U4LNjES5+/zKnDukot/psS5QPAUUTEVi+HsiMvIJqCLsOVEToIXACD7LkdIxEyFxuoJi8DoNqTOCsxadhFzAmnSzG8JSABbyo9W/kPyquPHysQJDUz7dNEX700AmAR3XkI0qkpIes+LJmoK7mpO/2pCX4rkjCynGu9LVFIwvNawfgJGNMIRv/KrF3fLOAYAnIBkDWliHPNsD5ulBYpmJASnbshKhUxBcSQq0iCFCnjPE9gBJ1oIDT0hpkYQDfOCDR/QK9hBMiIgC7ixARQHALxxDTbyFy2uE8FxQCjwAkFxHxaEdZDgIfHiJFpOFXEyJ3XyH48COTwgAiKgPhznDtLiJynEOQACHWTABMVxncAAAHKooMgLDJBE8n6RLOBBk6rBAjLncqqjGakAXCAJaWhgl8qQCFrDBj5ga16DuCJhAJYyAw3K7ZDkJSqJBBKAaRakSPjAC9DOJ09sOXpst4qABCSAOfzkLhNgffoRT/8UIAKQKzsES6oaQEriY0kIc170ziJC4T84YmbMB3RE0KrsAQY+ID3U6CDprDMY0QMSIGw0ESAYBgvoTACgJQLW4wTxRAMgc4UmEjHSAh7tD++wZwhmAFoGoCUwih0WIS+LUQ95suJOpBpWoByKgDqTZzT7LhRDkRdfYAWS0wRuZh9P4jZzcyfRMz3VE9EGhI0Iyj0yZ200Z30ygY7EUWqQjgqgEp88qTTC8URqaDCwsnxsb0PWxtK8x1xKaAjjIU3WMByMTNn6jBerRS0KdAyJQnf8iH2y4PcyzD3PoU0mMh4uy8zyggAioE8ygyAJMx4u50HZx76IMw+ygUGZUjX/++4vwSIPAehy6JOCsE+EHIRL/gIfFkci0gGq8kwKqVJIFTQJQJQh2kRJH+5x5BIc1WLNqNTzuDMbwEwtaOJ+gHQ9ybRMO/AvqEFfYsNJ4CqITkRIi0ZkQsu+MmmHxjA/fOU6RhEHscsq/6xN4iweKOAAuuFBLS2RNAGCXq18zmsUtOEglojy2KGBHKB22qsjXiWznFJgAMNiKOMEaIAoFsQBEBVxKiEBomk1+sLBxsMCCKwp3+cvQtUu0AwF1gMD7DMOWMIlAPILLEDOHtFi5A8lRaF2NqA+Em0xH+guFMJBaMBe8sRZwqwv2ikA9nNI1vG8WLEQTOCBBABSk6A3/5PIDj71u+RuWIGsfI5xW+nMvVyyO5FABkrVAF6gZBZiBmggIqTRTPm1XycMeCBrC4qvDqgjFrXACmjzRAZ2U1ZnYN3UGfTA+JABYSWWHgbW6CIWxpCAYjF2YY0BMzLW8xBWTcHwSTtBDjzWEpLzCkTyFEI2D1L2CxSHGVD2CVqMY++GYiNAYRPWX332ZysMYO0UaIk2KvDuD3clHHr1mma2aJ32aaE2aqV2al1OO4n1RZqWarV2a7m2a732ay1hS6dQ88C2bM32bNE2bdX2Mqx2Ndf2FAz2beV2bum2bu32bvE2b/V2b/m2b/32bwE3cAV3cAm3cA33cBE3cRV3cf8Zt3Ed93EhN3Ild3Ipt3It93IxN3M1d3M5t3M993Px5gZ0YHR1YAceFnS1FgdIt3RPF3Vd93WJVnRJdwfiFhZw4HZxgA1wN3d7oXanoHXbwGB3Fwd8NxZ21013t3hH5AZ2wHSZgXl3gHdHBxlUd3WBVwuSE+yggFgUYWmDQjzBdSpUAQaEFTe4YAX8shG6NRJc5Bs6jQthN357QXZx18JyYHXxV3oN4X5XV3+ToHpJNweu9wt2YHSdFwlkF38N+IAbAQAKuHTphH/z9xQS2H8DAAceeHUFmAoA2IA3GA8AwHql4IEHGAlw4AYs2BBkt4Q7gX9TmDoCOBlul39ZOAn/5DUewldsUUEGNiKIdGLsbK5tmWIzbtIprJMhrNGXlM58a2dC5feJY2GFpcCBFZh0X5gNMrh/paCDZ7eGkyCBGViCFbh5lfcLwBgOQriKdSAHGjiBR9eC1Xh0K8GNu3h0MvgGRliOD4GKdYCC9XgZ6PcOzlgZpNhNdpSRhFjesmEol5AoR8h7m4GIdeNHg8sQHIw3BqD49gGSobiT26CQLeyEb4B/d+AGTPnW2EB2oxcAJBiNPVgDAJiNLSGNS5eBRdmUcfmBZbmBV5eBQzgHUBiWJfiKCViBLbiASxkHBiCBd/mCAxh3c4B2Rwd/0ZiE9xiZ/VgHvLgRArkNxJiY/6P4j3WNIVZgdUzABdIE8FCB6zT2/tpABmjgA4Y2KCQZN9ZwAyLgiIv47Soga6XCn4vz/S6ojMGWoEF4jw16GQB6mkB5CqpXlkeyEGiZd2kZjxHYgKsDABLYizOYjLFYnA2BlXsZW7DFhUP6gVH4jacAhemkeg9YpHXAoi3MoPl4dGU6AKw5pO93B7J5mw+hm58Sf2+aDRJ6pUG6EOgR+0TgLCiOUE7hoY6ROhyuKZR3UuZuny2sGbyRSMzIkpdYopNiRmXWk++gqF2lrLN6ij3QrGGhobd4dJvZEFw6R5g5CUwaCbTYVXJgr4daCkS3lJF5DYTXgLthlKP5hTX6jf8JO1n+F64PAZhNWKWhZExyOo0ZmJd7GQ5y+qKfWQlwYK8lGLT3GlswOK+/+I1DuyPcOAdSuLQN+Ab8GagDALT1t3qZl3U9e68/O4ArQbc7+IrdGvewcU4W+ipWIFzY1xMGRlglgGBEqlw0AV3UBWViJThcxjBaoGy2pueUm3xt5mMoZ32AwQSKbi7kpgMiICJm47vNRYl6pms4MVZ+5mlSSSLiFFH2QfZUxatH4zCdOzbqewi4e04OcxcOkwhYIV5bpgGQO04JYm3aJaAPqV4QvANI1tTYmqyvKbgbe40tQXYtmpZxm5bXQIyHuoPlJI1zwIE92owlO49ffIode7H/wUC2D6F6wXlOSHcNuhkAiHePPfjFNzuLrbjD1fiyxTiAx4SOTRsJiDzGA4DJcfu0dUB6SdkOaJh/2wSmq3jL4ziuqbyGD03FZEJF+E7SPi4TGGMd5DMe7qKQTPYXwaL3BuD3pIGTJyhRU4iSZ8/ARAtK7UV+yue+OWa4DmdfVUwg3kN3SsB7TsAFfaIDvJUxPJRtDOOA5symtBMbwAKrNRxxM/yiL/utPdwRujnJy4CKnZeL4xqAR31OaNiyXUfWqSODUximNUDVfTeBURkPcPwOXLrES3e3SRe2JdqAS/uDc1qCUViC2wSXXxuXfxwJmP2Ei53KbRrF7brYR5l0/9vEpVm7rqk8d/l41HccxJXAjVOaxms63IvcqLXZkKfBdYTgoGJJVHLkzJcCi1zDXFrDNbpIBsbyWyfJMB7gBWgAsSJtITTpaOoHPxiGdwQ6LNnBkhaCNeXFjZKSfCJ0JkEJgj5AmERlet8JRDdgob8gofYhV6fxlGJnwYgCBWigX7YNligGjnDNNlPLTDSdC4VkigKhXzz90zuXwyO71LlZpW2bhq0Vo/n4oUkdgjnYppte6rVAdsHcyd+d1PGY1v1agftarqFcC1Aa2/G3eYGXjzXgrpl+orcd6bedp6f+xYOds3WgTR6Yog24Tfh3l/s+RwD42d+43CsB6uve7v/xXrJpeZdVubCPOmMyoQNOU9MHCSrFqjMNEl27KlUYIIj+KW43KPPYMNW8jrgmHlYnojqQyu5MRaQ4Cr0eT0mLZKvwKYnJcTPo6CsowFV/wqBNCrkEQ66iIErSUc4poHp2BKxk6ktGSkUqaoayR2wBJRlQPoNCXT+JWjeuf4q3X62HofstaNcfv8OzHg/o17JZPN5x2sPpF+o9u45lXI9DGO2hJO/JfuuVwJq9Pt3xFwhygSGxaDwScTodDmm8LXcaInSpu+GqVycSYNUodTsAYLecVoVE79loHiOrt+eyGUgXw2r8OjoNmOn8DeXUUS3dBOYAHFXZFQoe6qgxJk7/DrFFEgUOSnZyOckYCJCWopAEMAYskB4UQQgYIAxNYAhsFNXeqg5JjAgwsICWkFYU8RqxGqDmZgicNBA52OIGTDgzRNPaLoMesQqkFBWQVks4dxORCxibFFtfzLj6AkeDuxLBynob6RKs2lJB7Ba/ZKQ+XCCFQhiRCS4EUNDGyN8gXeyc3HsVa1aAdeLGkVLxLRYzg/sKokypciXLli5friQDcyZNI8hm3qypc2dMnj55VvmUZ4mallUUQFJQpk2AKE0v6XGSc4gjTH6chJHiDYDQqql2gBWKI4clokJVhrHDRYvaO1bUVtmhAOXSSDnA4qg7BVJbQEwxvTkLadIb/7CG3DI5ZkYNXyOQpizVmoSoJCuaFDP1itgOo6WUrh6SzCsozAktZpQqJXIIOGNEWJ1gdo1gQ2pG6KEAMewdP2UltwlYWJu2g3JF6KUrmCDExiIDq+kK5tz4NAGuBqJQMLta6yKwf/PzV/3f85XgSlFgKM2WgBnu39sSTgubtpEXXz9jBivW+/e8vZOExHkvrKDeTwe+JFNNCiLYoIMPQhihhBNSyBJpWFHmUhpmzOFXJGzs8FgAUaWkBy9OHUMEJB12wUUYLD4FR4s4BAKjSoykBUoYiRWRBjJf0AVkVJwgNtcaRBYR2BF1WdakHZqlctVRbrTBRlFDkIiYZX2NCP9alkfxYmVnYlwZQGOpeFKTBCJ0MEpwRirDEWvNWWPbcNUQQY90XAzkmje+9fPQPw05U015ef6SHD/IyRnAobrgOUR5EiT0zzrLFBfOnCdt2mh4zqDwS2yOGqfSeaX4KWlqq5KypzWgGjkSpx01Rw+rqaW6KXjApWbAAWdVGKywwxJbrLHHIjvshUhkaaFlkhGZCSJYZohSXDmQNRi2QlkRq0paYIutFdu6GMVUKOWI4WE9IqIKGUjyk8kfSRG5bCoiJinGVDXi0K+//f4xZR9ioPHXvVVWS+0lVDVpsJYNS2YviJCBVeaZ7F5W00DpAIpfOpA2QxuiwOjG53+gdNz/0EORgkyqyAEgtysXtq6mKm0OvezyBgAMsF8DCRXDASkcpbxKgClZRMpHh6Z0KimjEoGdCBZ4YIHVVHuQi50CHq0rzIl+cDXVU1uwa9G5dMAqAcAm27bbb8Md941y081wxkY0u5IWPE78lRUyyvFtww1/kndKew9+2U195+Evmo/jvW7k0zayLiP4xgtkl4S1AaWHn4Al2TGYOwGllXb3Fa25Qy2M2ByQiO7hs2+hjtlnYtBxN2Jst9Tz0UV3PNugqbQ8snxO9FkQOYpas7LWxJXaS6IyQz4y1DZDF5+BhwotgAUQtXALLBF57TH1TiSd3ZyammrcfgTEmime59aZ/zOAigK6XH4pkXM9EgNEwARAE0DN6tYg+hnwQAhM4IMWyMAHashhrCsTWsY1GdwRQnN16YsSKnaTRITOMH/bwREuhoS7mKEvIKyYCMUgusWBxiq005HkLriFnOSNdKCQF2CaVLAt5OtuSqocj9ZCOYXt4YhDABLj7MaiqtSFRRvEQhb4ELgLUgJenyMi71qiD6J1zWjpwI16mDaEBPyCAucLQKbw8acw1o9lhQJONggFR2+sI1XggM5DyIcf9lUHBgIgQHHcM0jz3W+NR9Df0M6YKJE48I/GwJl1hnM8LuAsUib5Tce6g5Lu5YoLeYTgAUlpyp6cMpWqNKLusJigQP+opUaV+UNWCvc33qkidDjUXBcCUURMICGG/boJ7JAhLS5NjktRBAW8dtTFgV1mR22opSRkJAlv2RAyeajmIFaksMukYV5KnOFmvvmkhEWJYIiRi4oolwkWUTN3z3SCA15QnyFkCmopA8B3epEQqPnOfuvwVD9sMTyU7e95cqSNrfwEDuZ5o3vDmw1tGJkCVZwjJPNBVUZbgciPpqR7DAABIwbix6bxZiAElN5/ZBKBe26HC8A7mgxadU+YrQAJA3HjcbDJgVGEcpVC5UIkf8IgCtGvqAqMFzCHilSd2IsqNyjLDqaKBaVm0BCDGUQmcgAGWU5OnVuJoSQoODpyEjX/hlCoqr98aaNjlm6qkCDLVP/gVqtatZu025GNdsjLp2hOEU1gCxF38K8gGjYVWdCX3cQwFy0MQrBaUgtfNVAX0WkmLnup4Qa1REIADMZImTAsAPiak6imZCAvEEEEIvCAUqytfOUL6CkksB/7gYMCHhCBCHLaD2cIYLW8LdkQIrCCFURgPx447gp0E9M7EcEdpHhBBMJHCoiCgqIEAEEEfhE9lR5AAREAmnwYuY/9GKBmM8VudoFLgAjUgD08RYknjQYRbaiUQAA0gSBTVTxZcfJottItCyRQXQyM9AgWWS3VpGeADxRIAtKdlVMrbOELYzjD7IrdwRKHTH74cku5/2sShzfH2LGKNYgf7mENe5lixP3NqzbxJTKlRbh0Jk5xIb5lSuriLWnSMnGLWBLEuJpjTcAYrdK0jIzbObi2QEkRW3TMtJJsuR3zmIsuUSkp2JNQWs0qTlG7VfQawqoEG2Ed12WfNcgci4v8t3gJuO2qKMyP7t0KT3MmcwwAFBxhDAQa6qDTnE5AUH5Id1UouKny/kMpUsTWvvzBlUKXNITlNUrMG2UVgokLktQk2FZq0zCpS23qU8vNETjw1mAatuIdtvqXNjQLs7Ls10ncJJ5cGIxazgUiXoxlcDfICVyJnOM/HDljTKJ1jwNhk60mYcc3AFawbd3Yv8FFDIjjEv+NnjVsImI7d23hqx9yTRk5OClMRGm1WfulQ6RZ103T/Y3Q/NdPIuA5FhaY4xEiAAMvX/KMJkANquzo5knye6ORGoAJvPyBX9RxJTLw8oMzgAGeJuC1XQYGeHYKHPjhx95fVsnEU0MARhekvvVLLxFk8JBeveA3z01RAOodYP9JwLqp0S0XBm4KYQzgAQRPTXjpcqyjojrpSl86svZW4lRgVUeOk3q/iDrUf+XlbaWdOoQOWxOvu6jqYRe7VMCOINJwfWCLMPusW6mSNfFWBCi39FQmwNsVzJMMUX/QABKQgACgMThz9wbcReDpIxTet21L/FaQbml+RCDuEYAQIxL/P/iCJB6bTGdg1B2/+c+Dnh9O33voS2/6uKH2GOistWXmeXqV/L0I1VHf62tv+9vjPve63z0pSc/7tqX+SK37vYN8QQELINcC7Akq8Zvv/OdDP/rSnz71KRR8GZq1+i559MYh7Xrtgz/84h8/+ctv/lOuFZeLOT9Lgv7yUcwga+yfP/3rb//74z//+p9QAgw8+f0DYAAK4AASYAEa4AEiYAIq4AIyYAM64ANCYARK4ARSYAVa4AViYAZq4AZyYAd64AeCYAiK4AiSYAma4AmiYAqq4AqyYAu64AvCYAzK4AzSYA3a4FD5XgDm4A3yIATtYA8CYRDqoBBG3w+mkhES/2ESKuESMmHtIWETQmEUkt/3SWEV3p9SPSH4ZaEVcqFQeV4XNtVTbQUYGssWMh0Chcnc7IQZkmEbqmEY0lyEsKEb0iEHzmEd4uH53WHc7GEN9mGP5WEgCqL9DUAPVADzDWIIEtsfopIYGh0GMmIiSqKwrAAPWKIlHt70ReIkEssmviETeuKNhCIn9iAAXOIpFkEOfAT0jaL2taKDvGIRSl8sVtgXkiIn9oAlVgAJXGIFdMYltg0t3uIwEmMxyiAwjsglqoAGpIAlFpAB2aIxSuM0UmMP5mLNVOIpWmI1CoswcuM3guMGakAn5OIpKhLveSP1pWM4smM7TiAvrEA5Xv8e8a2jO9rjPeLjA9WjS+wj5ETjGsRhDPZjPhJkQRrkUh1k3QxkQjJkQ4KeJy6kQ0rkRFKk6UEkS/xjKTpVRO4fR1bkR5JgRoKk0nnkSJqkTZwk5aXkSrJkS7rkS8JkTMrkTNJkTdrkTeJkTurkTvJkT/rkTwJlUArlUBJlURql87nZqhzlUjJlU7JEUqaGU0rlVFLlEEBlKVRlVmolUV4lKWzlV4LlTnalAPSYSIblWaJlO45lWrJlW57kWhpkSbrlXIIkXNLlXeJlPq6lXOZlX/plCtrlX9qjWQpmUQZmYSJmYgriYSpmYzpmFzLmY0rmZCphZFLmZWJmDVpmZnKQZmeu4FjypWeK5mhq32aSJhmG5mkWo2mqJhemZmve4l7C5mzS5gTKZm1KIWHi5kyy5m765m/eX28C53AS5/gJZ3EiZ3JC33EqZ3M6J+4xJzG+5nNSpwZGZ3Wm4HRipxVe53Z653deWHeC53iSpymJZ3lmJ3o25HmqZ3u657Gw53vK53xKSHzSpwcOwH3iYxAAADs=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import display, Image\n",
    "\n",
    "display(Image('https://raw.githubusercontent.com/Summer-MIND/mind_2018/master/tutorials/jupyter/demo.gif'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Multilingual!\n",
    "- Python (multiple versions together)\n",
    "- R\n",
    "- Matlab\n",
    "- Javascript\n",
    "- etc (https://github.com/jupyter/jupyter/wiki/Jupyter-kernels)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### Coding with R:\n",
    "`!conda install rpy2`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "import rpy2.rinterface\n",
    "%load_ext rpy2.ipython"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%R\n",
    "\n",
    "y <- c(1,2,3,4,5)\n",
    "yy <- c(1,2,4,8,16)\n",
    "\n",
    "plot(y,\n",
    "     yy,\n",
    "     main='R plot in Python')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "We will import `x=10` from above, define a variable `z<-10` in R, store their product into `XZ`, and then output a variable `XZ` "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "%%R -i x -o XZ\n",
    "\n",
    "z <- 10\n",
    "XZ <- x * z"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "The cell below will return `XZ` in Python! Cool, huh?!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] 100\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(XZ)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "You can do this with other languages as well! e.g., MATLAB (because we like paying for licenses)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Save notebooks in other formats and put them online\n",
    "- Github automatically renders jupyter notebooks\n",
    "- [Online notebook viewer](http://nbviewer.jupyter.org/)\n",
    "- Output to PDF, HTML (including javascript)\n",
    "- [Jupyterhub](https://github.com/jupyterhub/jupyterhub): code with friends!\n",
    "\n",
    "### Customize your notebook experience with extensions\n",
    "- Table of Contents\n",
    "- Execution time/Profiling\n",
    "- Scratch Space\n",
    "- Code/Section folding\n",
    "- Look and feel (CSS+Javascript)\n",
    "- Other notebook extensions\n",
    "\n",
    "### For more...\n",
    "- [Eshin Jolly - Intro to Jupyter Notebooks](https://github.com/Summer-MIND/mind_2018/tree/master/tutorials/jupyter)\n",
    "- [Jake Vanderplas - Data Science Handbook](https://github.com/jakevdp/PythonDataScienceHandbook)\n",
    "- [Tal Yarkoni - Intro to Data Science w/ Python](https://github.com/tyarkoni/SSI2016)\n",
    "- [Yaroslav Halchenko - Intro to Programming for Psych/Neuro](https://github.com/dartmouth-pbs/psyc161)\n",
    "- [Awesome notebooks](https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks)\n",
    "- [Neuroimaging in Python](https://github.com/datacarpentry/python-neuroimaging-lesson)\n",
    "- [Google Colaboratory](https://colab.research.google.com/notebooks/welcome.ipynb#recent=true)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Types of Variables\n",
    "- Numeric types:\n",
    "    - int, float, long, complex\n",
    "- string\n",
    "- boolean\n",
    "    - True / False\n",
    "    \n",
    "\n",
    "\n",
    "Use the `type()` function to find the type for a value or variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'int'>\n",
      "<class 'float'>\n",
      "<class 'str'>\n",
      "<class 'bool'>\n",
      "<class 'NoneType'>\n",
      "<class 'str'>\n"
     ]
    }
   ],
   "source": [
    "# Integer\n",
    "a = 1\n",
    "print(type(a))\n",
    "\n",
    "# Float\n",
    "b = 1.0\n",
    "print(type(b))\n",
    "\n",
    "# String\n",
    "c = 'hello'\n",
    "print(type(c))\n",
    "\n",
    "# Boolean\n",
    "d = True\n",
    "print(type(d))\n",
    "\n",
    "# None\n",
    "e = None\n",
    "print(type(e))\n",
    "\n",
    "# Cast integer to string\n",
    "print(type(str(a)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Math Operators\n",
    "- +, -, *, and /\n",
    "- Exponentiation **\n",
    "- Modulo %\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9\n",
      "4\n",
      "8\n",
      "16\n",
      "4\n",
      "0.4444444444444444\n"
     ]
    }
   ],
   "source": [
    "# Addition\n",
    "a = 2 + 7\n",
    "print(a)\n",
    "\n",
    "# Subtraction\n",
    "b = a - 5\n",
    "print(b)\n",
    "\n",
    "# Multiplication\n",
    "print(b*2)\n",
    "\n",
    "# Exponentiation\n",
    "print(b**2)\n",
    "\n",
    "# Modulo\n",
    "print(4%9)\n",
    "\n",
    "# Division\n",
    "print(4/9)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## String Operators\n",
    "Some of the arithmetic operators also have meaning for strings. E.g. for string concatenation use + sign\n",
    "\n",
    "String repetition: Use * sign with a number of repetitions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "HelloWorld\n",
      "HelloHelloHelloHelloHello\n"
     ]
    }
   ],
   "source": [
    "# Combine string\n",
    "a = 'Hello'\n",
    "b = 'World'\n",
    "print(a + b)\n",
    "\n",
    "# Repeat String\n",
    "print(a*5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Logical Operators\n",
    "\n",
    "Perform logical comparison and return Boolean value\n",
    "\n",
    "```\n",
    "x == y # x is equal to y\n",
    "x != y # x is not equal to y\n",
    "x > y # x is greater than y\n",
    "x < y # x is less than y\n",
    "x >= y # x is greater than or equal to y \n",
    "x <= y # x is less than or equal to y\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a==b: False\n",
      "a==c: False\n",
      "a!=b: True\n",
      "d < e: True\n"
     ]
    }
   ],
   "source": [
    "# Works for string\n",
    "a = 'hello'\n",
    "b = 'world'\n",
    "c = 'Hello'\n",
    "print(\"a==b: \" + str(a==b))\n",
    "print(\"a==c: \" + str(a==c))\n",
    "print(\"a!=b: \" + str(a!=b))\n",
    "\n",
    "# Works for numeric\n",
    "d = 5\n",
    "e = 8\n",
    "print(\"d < e: \" + str(d < e))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Conditional Logic (if…)\n",
    "\n",
    "Unlike most other languages, Python uses tab formatting rather than closing conditional statements (e.g., end)\n",
    "\n",
    "Syntax:\n",
    "```\n",
    "if condition: \n",
    "    do something\n",
    "```\n",
    "\n",
    "Implicit conversion of the value to bool() happens if condition is of a different type than bool, thus all of the following should work:\n",
    "```\n",
    "if condition:\n",
    "    do_something\n",
    "elif condition:\n",
    "    do_alternative1\n",
    "else:\n",
    "    do_otherwise # often reserved to report an error\n",
    "                 # after a long list of options\n",
    "    ```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "n is non-0\n",
      "n is not None\n"
     ]
    }
   ],
   "source": [
    "n = 1\n",
    "\n",
    "if n:\n",
    "    print(\"n is non-0\")\n",
    "\n",
    "if n is None:\n",
    "    print(\"n is None\")\n",
    "    \n",
    "if n is not None:\n",
    "    print(\"n is not None\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Loops\n",
    "**for** loop is probably the most popular loop construct in Python:\n",
    "```\n",
    "for target in sequence:\n",
    "    do_statements\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "P\n",
      "y\n",
      "t\n",
      "h\n",
      "o\n",
      "n\n",
      " \n",
      "i\n",
      "s\n",
      " \n",
      "g\n",
      "o\n",
      "i\n",
      "n\n",
      "g\n",
      " \n",
      "t\n",
      "o\n",
      " \n",
      "m\n",
      "a\n",
      "k\n",
      "e\n",
      " \n",
      "c\n",
      "o\n",
      "n\n",
      "d\n",
      "u\n",
      "c\n",
      "t\n",
      "i\n",
      "n\n",
      "g\n",
      " \n",
      "r\n",
      "e\n",
      "s\n",
      "e\n",
      "a\n",
      "r\n",
      "c\n",
      "h\n",
      " \n",
      "e\n",
      "a\n",
      "s\n",
      "i\n",
      "e\n",
      "r\n"
     ]
    }
   ],
   "source": [
    "string = \"Python is going to make conducting research easier\"\n",
    "for c in string:\n",
    "    print(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "It’s also possible to use a **while** loop to repeat statements while condition remains True:\n",
    "```\n",
    "while condition do:\n",
    "    do_statements\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 0\n",
      "1 1\n",
      "2 3\n",
      "3 6\n",
      "4 10\n",
      "5 15\n",
      "6 21\n",
      "7 28\n",
      "8 36\n",
      "9 45\n",
      "Exited with x==10\n"
     ]
    }
   ],
   "source": [
    "x = 0\n",
    "end = 10\n",
    "\n",
    "csum = 0\n",
    "while x < end:\n",
    "    csum += x\n",
    "    print(x, csum)\n",
    "    x += 1\n",
    "print(\"Exited with x==%d\" % x )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Functions\n",
    "\n",
    "A **function** is a named sequence of statements that performs a computation. You define the function by giving it a name, specify a sequence of statements, and optionally values to return. Later, you can “call” the function by name."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "def make_upper_case(text):\n",
    "    return (text.upper())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "- The expression in the parenthesis is the **argument**.\n",
    "- It is common to say that a function **\"takes\" an argument** and **\"returns\" a result**.\n",
    "- The result is called the **return value**.\n",
    "\n",
    "The first line of the function definition is called the header; the rest is called the body.\n",
    "\n",
    "The header has to end with a colon and the body has to be indented. It is a common practice to use 4 spaces for indentation, and to avoid mixing with tabs.\n",
    "\n",
    "Function body in Python ends whenever statement begins at the original level of indentation. There is no end or fed or any other identify to signal the end of function. Indentation is part of the the language syntax in Python, making it more readable and less cluttered."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PYTHON IS GOING TO MAKE CONDUCTING RESEARCH EASIER\n"
     ]
    }
   ],
   "source": [
    "string = \"Python is going to make conducting research easier\"\n",
    "\n",
    "print(make_upper_case(string))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Python Containers\n",
    "\n",
    "There are 4 main types of builtin containers for storing data in Python:\n",
    "- list\n",
    "- tuple\n",
    "- dict\n",
    "- set"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Lists\n",
    "In Python, a list is a mutable sequence of values. Mutable means that we can change separate entries within a list. \n",
    "- Each value in the list is an element or item\n",
    "- Elements can be any Python data type\n",
    "- Lists can mix data types\n",
    "\n",
    "- Lists are initialized with [] or list()\n",
    "```\n",
    "l = [1,2,3]\n",
    "```\n",
    "\n",
    "- Elements within a list are indexed (starting with 0)\n",
    "```\n",
    "l[0]\n",
    "```\n",
    "\n",
    "- Elements can be nested lists\n",
    "```\n",
    "nested = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]\n",
    "```\n",
    "\n",
    "- Lists can be sliced.\n",
    "```\n",
    "l[start:stop:stride]\n",
    "```\n",
    "\n",
    "- Like all python containers, lists have many useful methods that can be applied\n",
    "```\n",
    "a.insert(index,new element)\n",
    "a.append(element to add at end)\n",
    "len(a)\n",
    "```\n",
    "\n",
    "- List comprehension is a very powerful technique allowing for efficient construction of new lists.\n",
    "```\n",
    "[a for a in l]\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lists\n",
      "['are', 'arrays']\n",
      "['lists', 'are', 'python', 'arrays', '.']\n",
      "5\n",
      "['LISTS', 'ARE', 'PYTHON', 'ARRAYS', '.']\n"
     ]
    }
   ],
   "source": [
    "# Indexing and Slicing\n",
    "a = ['lists','are','arrays']\n",
    "print(a[0])\n",
    "print(a[1:3])\n",
    "\n",
    "# List methods\n",
    "a.insert(2,'python')\n",
    "a.append('.')\n",
    "print(a)\n",
    "print(len(a))\n",
    "\n",
    "# List Comprehension\n",
    "print([x.upper() for x in a])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Dictionaries\n",
    "- In Python, a dictionary (or dict) is mapping between a set of indices (keys) and a set of values\n",
    "- The items in a dictionary are key-value pairs\n",
    "- Keys can be any Python data type\n",
    "- Dictionaries are unordered"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'one': 'uno'}\n",
      "{'one': 'uno', 'two': 'dos', 'three': 'tres'}\n",
      "dict_keys(['one', 'two', 'three'])\n",
      "dict_values(['uno', 'dos', 'tres'])\n"
     ]
    }
   ],
   "source": [
    "# Dictionaries\n",
    "eng2sp = {}\n",
    "eng2sp['one'] = 'uno'\n",
    "print(eng2sp)\n",
    "\n",
    "eng2sp = {'one': 'uno', 'two': 'dos', 'three': 'tres'}\n",
    "print(eng2sp)\n",
    "\n",
    "print(eng2sp.keys())\n",
    "print(eng2sp.values())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Tuples\n",
    "\n",
    "In Python, a tuple is an immutable sequence of values, meaning they can’t be changed\n",
    "- Each value in the tuple is an element or item\n",
    "- Elements can be any Python data type\n",
    "- Tuples can mix data types\n",
    "- Elements can be nested tuples\n",
    "- Essentially tuples are immutable lists"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 2, 3, 4)\n",
      "(1, 2)\n"
     ]
    }
   ],
   "source": [
    "numbers = (1, 2, 3, 4)\n",
    "print(numbers)\n",
    "\n",
    "t2 = 1, 2\n",
    "print(t2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Sets\n",
    "\n",
    "In Python, a set is an efficient storage for “membership” checking\n",
    "- set is like a dict but only with keys and without values\n",
    "- a set can also perform set operations (e.g., union intersection)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{1, 2, 3, 'mom', 10, 'dad'}\n",
      "{2, 3}\n",
      "{1, 'mom', 'dad'}\n"
     ]
    }
   ],
   "source": [
    "# Union\n",
    "print({1, 2, 3, 'mom', 'dad'} | {2, 3, 10})\n",
    "\n",
    "# Intersection\n",
    "print({1, 2, 3, 'mom', 'dad'} & {2, 3, 10})\n",
    "\n",
    "# Difference\n",
    "print({1, 2, 3, 'mom', 'dad'} - {2, 3, 10})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Modules\n",
    "\n",
    "A Module is a python file that contains a collection of related definitions. Python has hundreds of standard modules. These are organized into what is known as the [Python Standard Library](http://docs.python.org/library/). You can also create and use your own modules. To use functionality from a module, you first have to import the entire module or parts of it into your namespace\n",
    "\n",
    "To import the entire module:\n",
    "`python import module_name`\n",
    "\n",
    "You can also import a module using a specific name:\n",
    "`python import module_name as new_module_name`\n",
    "\n",
    "To import specific definitions (e.g. functions, variables, etc) from the module into your local namespace:\n",
    "`from module_name import name1, name2`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### os and glob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "import os\n",
    "from glob import glob"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "To print the curent directory, you can use: `os.path.abspath(os.path.curdir)`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Let’s use glob, a pattern matching function, to list all of the ipynb files in the current folder."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['.\\\\NSCI 526 Tutorial 1.1 (Intro to Python).ipynb', '.\\\\NSCI 526 Tutorial 1.2 (Introduction to Artificial Neural Networks).ipynb', '.\\\\NSCI 526 Tutorial 1.3 (Emotional Faces Classifier).ipynb']\n"
     ]
    }
   ],
   "source": [
    "data_file_list = glob(os.path.join(os.path.curdir,'*ipynb'))\n",
    "print(data_file_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "This gives us a list of the files including the relative path from the current directory. What if we wanted just the filenames? There are several different ways to do this. First, we can use the the os.path.basename function. We loop over every file, grab the base file name and then append it to a new list."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['NSCI 526 Tutorial 1.1 (Intro to Python).ipynb', 'NSCI 526 Tutorial 1.2 (Introduction to Artificial Neural Networks).ipynb', 'NSCI 526 Tutorial 1.3 (Emotional Faces Classifier).ipynb']\n"
     ]
    }
   ],
   "source": [
    "file_list = []\n",
    "for f in data_file_list:\n",
    "    file_list.append(os.path.basename(f))\n",
    "\n",
    "print(file_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "It is also sometimes even cleaner to do this as a list comprehension"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['NSCI 526 Tutorial 1.1 (Intro to Python).ipynb',\n",
       " 'NSCI 526 Tutorial 1.2 (Introduction to Artificial Neural Networks).ipynb',\n",
       " 'NSCI 526 Tutorial 1.3 (Emotional Faces Classifier).ipynb']"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[os.path.basename(x) for x in data_file_list]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### NumPy\n",
    "NumPy is the fundamental package for scientific computing with Python."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "NumPy’s main object is the homogeneous multidimensional array. It is a table of elements (usually numbers), all of the same type, indexed by a tuple of non-negative integers. In NumPy dimensions are called axes.\n",
    "\n",
    "NumPy’s array class is called `ndarray`. It is also known by the alias `array`. The more important attributes of an ndarray object are:\n",
    "\n",
    "- **ndarray.ndim**: the number of axes (dimensions) of the array.\n",
    "- **ndarray.shape**: the dimensions of the array. This is a tuple of integers indicating the size of the array in each dimension. For a matrix with n rows and m columns, shape will be `(n,m)`. The length of the `shape` tuple is therefore the number of axes, `ndim`.\n",
    "- **ndarray.size**: the total number of elements of the array. This is equal to the product of the elements of `shape`.\n",
    "- **ndarray.dtype**: an object describing the type of the elements in the array. One can create or specify dtype’s using standard Python types. Additionally NumPy provides types of its own. numpy.int32, numpy.int16, and numpy.float64 are some examples.\n",
    "- **ndarray.itemsize**: the size in bytes of each element of the array. For example, an array of elements of type `float64` has `itemsize` 8 (=64/8), while one of type `complex32` has `itemsize` 4 (=32/8). It is equivalent to `ndarray.dtype.itemsize`.\n",
    "- **ndarray.data**: the buffer containing the actual elements of the array. Normally, we won’t need to use this attribute because we will access the elements in an array using indexing facilities. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14]\n",
      "(15,)\n",
      "1\n",
      "int32\n",
      "4\n",
      "15\n",
      "<class 'numpy.ndarray'>\n"
     ]
    }
   ],
   "source": [
    "a = np.arange(15) #array of numbers 0 to 14\n",
    "\n",
    "print(a)\n",
    "print(a.shape)\n",
    "print(a.ndim)\n",
    "print(a.dtype.name)\n",
    "print(a.itemsize)\n",
    "print(a.size)\n",
    "print(type(a))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### Creating arrays\n",
    "You can create an array from a regular Python list or tuple using the array function. The type of the resulting array is deduced from the type of the elements in the sequences.\n",
    "\n",
    "A frequent error consists in calling array with multiple numeric arguments, rather than providing a single list of numbers as an argument.\n",
    "```\n",
    "a = np.array(1,2,3,4)    # WRONG\n",
    "a = np.array([1,2,3,4])  # RIGHT\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[6 7 8]\n",
      "<class 'numpy.ndarray'>\n"
     ]
    }
   ],
   "source": [
    "b = np.array([6, 7, 8])\n",
    "print(b)\n",
    "print(type(b))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "`array` transforms sequences of sequences into two-dimensional arrays, sequences of sequences of sequences into three-dimensional arrays, and so on."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1.5 2.  3. ]\n",
      " [4.  5.  6. ]\n",
      " [7.1 7.2 7.3]]\n"
     ]
    }
   ],
   "source": [
    "c = np.array([(1.5, 2 ,3), (4, 5, 6), (7.1, 7.2, 7.3)])\n",
    "print(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "The function `zeros` creates an array full of zeros, the function `ones` creates an array full of ones, the function `random.rand` creates an array of random floats from a uniform distribution over [0, 1], and the function `empty` creates an array whose initial content is random and depends on the state of the memory. By default, the dtype of the created array is `float64`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0.]])"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.zeros((3,4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[1, 1, 1, 1],\n",
       "        [1, 1, 1, 1],\n",
       "        [1, 1, 1, 1]],\n",
       "\n",
       "       [[1, 1, 1, 1],\n",
       "        [1, 1, 1, 1],\n",
       "        [1, 1, 1, 1]]], dtype=int16)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.ones((2,3,4), dtype=np.int16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.0688618 , 0.3021982 ],\n",
       "       [0.83227422, 0.58830925],\n",
       "       [0.67215902, 0.04218746]])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.random.rand(3,2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.0688618 , 0.3021982 , 0.83227422],\n",
       "       [0.58830925, 0.67215902, 0.04218746]])"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.empty((2,3)) # uninitialized, output may vary"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "To create sequences of numbers, NumPy provides a function analogous to `range` that returns arrays instead of lists."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([10, 15, 20, 25])"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.arange( 10, 30, 5 ) # array from 10 to 30 in increments of 5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### Shape Manipulation\n",
    "\n",
    "Three main functions include:\n",
    "- `ravel()` flattens an array\n",
    "- `reshape()` changes the shape of arrays\n",
    "- `transpose()` transposes the array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[9., 3., 2., 9.],\n",
       "       [9., 9., 9., 5.],\n",
       "       [8., 2., 2., 3.],\n",
       "       [6., 8., 8., 5.]])"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "example = np.floor(10*np.random.random((4,4)))\n",
    "example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([9., 3., 2., 9., 9., 9., 9., 5., 8., 2., 2., 3., 6., 8., 8., 5.])"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "example.ravel()  # returns the array, flattened"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[9., 3., 2., 9., 9., 9., 9., 5.],\n",
       "       [8., 2., 2., 3., 6., 8., 8., 5.]])"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "example.reshape(2,8) # returns the array with a modified shape 2x8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[9., 9., 8., 6.],\n",
       "       [3., 9., 2., 8.],\n",
       "       [2., 9., 2., 8.],\n",
       "       [9., 5., 3., 5.]])"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "example.transpose()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "The `reshape` function returns its argument with a modified shape, whereas the `resize` method modifies the array itself:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4, 4)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "example.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2, 8)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "example.resize(2,8)\n",
    "example.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "If a dimension is given as -1 in a reshaping operation, the other dimensions are automatically calculated:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[9., 3., 2., 9.],\n",
       "       [9., 9., 9., 5.],\n",
       "       [8., 2., 2., 3.],\n",
       "       [6., 8., 8., 5.]])"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "example.reshape(4,-1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### Linear Algebra\n",
    "NumPy package contains `numpy.linalg` module that provides all the functionality required for linear algebra. Some of the important functions in this module are:\n",
    "- `dot`: Dot product of the two arrays\n",
    "- `vdot`: Dot product of the two vectors\n",
    "- `inner`: Inner product of the two arrays\n",
    "- `solve`: Solves the linear matrix equation\n",
    "- `inv`: Finds the multiplicative inverse of the matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 9 -4  5]\n"
     ]
    }
   ],
   "source": [
    "M = np.array([[3, 0 ,2],\n",
    "              [2, 0, -2],\n",
    "              [0, 1, 1]])\n",
    "\n",
    "v = np.array([1, 2, 3])\n",
    "\n",
    "print(M.dot(v))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Other functions:\n",
    "- `multiply()`: Matrix product of the two arrays\n",
    "- `eye()`: Returns a 2-D array with ones on the diagonal and zeros elsewhere\n",
    "- `linalg.eig()`: Returns the eigenvalues and eigenvectors of the array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1. 0. 0.]\n",
      " [0. 1. 0.]\n",
      " [0. 0. 1.]]\n"
     ]
    }
   ],
   "source": [
    "print(np.eye(3))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "## Throw your notebook into slides:\n",
    "`!jupyter nbconvert \"Intro to Python.ipynb\" --to slides --post serve`"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Slideshow",
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}