Rich Output.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Rich Output"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In Python, objects can declare their textual representation using the `__repr__` method.  IPython expands on this idea and allows objects to declare other, rich representations including:\n",
    "\n",
    "* HTML\n",
    "* JSON\n",
    "* PNG\n",
    "* JPEG\n",
    "* SVG\n",
    "* LaTeX\n",
    "\n",
    "A single object can declare some or all of these representations; all are handled by IPython's *display system*. This Notebook shows how you can use this display system to incorporate a broad range of content into your Notebooks."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basic display imports"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `display` function is a general purpose tool for displaying different representations of objects. Think of it as `print` for these rich representations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import display"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A few points:\n",
    "\n",
    "* Calling `display` on an object will send **all** possible representations to the Notebook.\n",
    "* These representations are stored in the Notebook document.\n",
    "* In general the Notebook will use the richest available representation.\n",
    "\n",
    "If you want to display a particular representation, there are specific functions for that:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import (\n",
    "    display_pretty, display_html, display_jpeg,\n",
    "    display_png, display_json, display_latex, display_svg\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Images"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To work with images (JPEG, PNG) use the `Image` class."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "i = Image(filename='images/ipython_logo.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Returning an `Image` object from an expression will automatically display it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "i"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Or you can pass an object with a rich representation to `display`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(i)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "An image can also be displayed from raw data or a URL."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<img src=\"http://python.org/images/python-logo.gif\"/>"
      ],
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(url='http://python.org/images/python-logo.gif')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "SVG images are also supported out of the box."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg height=\"115.02pt\" id=\"svg2\" inkscape:version=\"0.43\" sodipodi:docbase=\"/home/sdeibel\" sodipodi:docname=\"logo-python-generic.svg\" sodipodi:version=\"0.32\" version=\"1.0\" width=\"388.84pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:cc=\"http://web.resource.org/cc/\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:inkscape=\"http://www.inkscape.org/namespaces/inkscape\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\" xmlns:sodipodi=\"http://inkscape.sourceforge.net/DTD/sodipodi-0.dtd\" xmlns:svg=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
       "  <metadata id=\"metadata2193\">\n",
       "    <rdf:RDF>\n",
       "      <cc:Work rdf:about=\"\">\n",
       "        <dc:format>image/svg+xml</dc:format>\n",
       "        <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
       "      </cc:Work>\n",
       "    </rdf:RDF>\n",
       "  </metadata>\n",
       "  <sodipodi:namedview bordercolor=\"#666666\" borderopacity=\"1.0\" id=\"base\" inkscape:current-layer=\"svg2\" inkscape:cx=\"243.02499\" inkscape:cy=\"71.887497\" inkscape:pageopacity=\"0.0\" inkscape:pageshadow=\"2\" inkscape:window-height=\"543\" inkscape:window-width=\"791\" inkscape:window-x=\"0\" inkscape:window-y=\"0\" inkscape:zoom=\"1.4340089\" pagecolor=\"#ffffff\"/>\n",
       "  <defs id=\"defs4\">\n",
       "    <linearGradient id=\"linearGradient2795\">\n",
       "      <stop id=\"stop2797\" offset=\"0\" style=\"stop-color:#b8b8b8;stop-opacity:0.49803922\"/>\n",
       "      <stop id=\"stop2799\" offset=\"1\" style=\"stop-color:#7f7f7f;stop-opacity:0\"/>\n",
       "    </linearGradient>\n",
       "    <linearGradient id=\"linearGradient2787\">\n",
       "      <stop id=\"stop2789\" offset=\"0\" style=\"stop-color:#7f7f7f;stop-opacity:0.5\"/>\n",
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       "    </linearGradient>\n",
       "    <linearGradient id=\"linearGradient3676\">\n",
       "      <stop id=\"stop3678\" offset=\"0\" style=\"stop-color:#b2b2b2;stop-opacity:0.5\"/>\n",
       "      <stop id=\"stop3680\" offset=\"1\" style=\"stop-color:#b3b3b3;stop-opacity:0\"/>\n",
       "    </linearGradient>\n",
       "    <linearGradient id=\"linearGradient3236\">\n",
       "      <stop id=\"stop3244\" offset=\"0\" style=\"stop-color:#f4f4f4;stop-opacity:1\"/>\n",
       "      <stop id=\"stop3240\" offset=\"1\" style=\"stop-color:#ffffff;stop-opacity:1\"/>\n",
       "    </linearGradient>\n",
       "    <linearGradient id=\"linearGradient4671\">\n",
       "      <stop id=\"stop4673\" offset=\"0\" style=\"stop-color:#ffd43b;stop-opacity:1\"/>\n",
       "      <stop id=\"stop4675\" offset=\"1\" style=\"stop-color:#ffe873;stop-opacity:1\"/>\n",
       "    </linearGradient>\n",
       "    <linearGradient id=\"linearGradient4689\">\n",
       "      <stop id=\"stop4691\" offset=\"0\" style=\"stop-color:#5a9fd4;stop-opacity:1\"/>\n",
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       "    </linearGradient>\n",
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       "    <linearGradient gradientTransform=\"translate(100.2702,99.61116)\" gradientUnits=\"userSpaceOnUse\" id=\"linearGradient2990\" x1=\"172.94208\" x2=\"26.670298\" xlink:href=\"#linearGradient4689\" y1=\"77.475983\" y2=\"76.313133\"/>\n",
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       "    <radialGradient cx=\"61.518883\" cy=\"132.28575\" fx=\"61.518883\" fy=\"132.28575\" gradientTransform=\"matrix(1,0,0,0.177966,0,108.7434)\" gradientUnits=\"userSpaceOnUse\" id=\"radialGradient2801\" r=\"29.036913\" xlink:href=\"#linearGradient2795\"/>\n",
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       "    <path d=\"M 110.46717 132.28575 A 48.948284 8.6066771 0 1 1  12.570599,132.28575 A 48.948284 8.6066771 0 1 1  110.46717 132.28575 z\" id=\"path1894\" style=\"opacity:0.44382019;fill:url(#radialGradient1480);fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:20;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1\" transform=\"matrix(0.73406,0,0,0.809524,16.24958,27.00935)\"/>\n",
       "  </g>\n",
       "</svg>"
      ],
      "text/plain": [
       "<IPython.core.display.SVG object>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import SVG\n",
    "SVG(filename='images/python_logo.svg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Embedded vs non-embedded Images"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By default, image data is embedded in the notebook document so that the images can be viewed offline. However it is also possible to tell the `Image` class to only store a *link* to the image. Let's see how this works using a webcam at Berkeley."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import Image\n",
    "img_url = 'http://www.lawrencehallofscience.org/static/scienceview/scienceview.berkeley.edu/html/view/view_assets/images/newview.jpg'\n",
    "\n",
    "# by default Image data are embedded\n",
    "Embed      = Image(img_url)\n",
    "\n",
    "# if kwarg `url` is given, the embedding is assumed to be false\n",
    "SoftLinked = Image(url=img_url)\n",
    "\n",
    "# In each case, embed can be specified explicitly with the `embed` kwarg\n",
    "# ForceEmbed = Image(url=img_url, embed=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here is the embedded version. Note that this image was pulled from the webcam when this code cell was originally run and stored in the Notebook. Unless we rerun this cell, this is not today's image."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Embed"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here is today's image from same webcam at Berkeley, (refreshed every minutes, if you reload the notebook), visible only with an active internet connection, that should be different from the previous one. Notebooks saved with this kind of image will be smaller and always reflect the current version of the source, but the image won't display offline."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<img src=\"http://www.lawrencehallofscience.org/static/scienceview/scienceview.berkeley.edu/html/view/view_assets/images/newview.jpg\"/>"
      ],
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SoftLinked"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Of course, if you re-run this Notebook, the two images will be the same again."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## HTML"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Python objects can declare HTML representations that will be displayed in the Notebook. If you have some HTML you want to display, simply use the `HTML` class."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import HTML"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "s = \"\"\"<table>\n",
    "<tr>\n",
    "<th>Header 1</th>\n",
    "<th>Header 2</th>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>row 1, cell 1</td>\n",
    "<td>row 1, cell 2</td>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>row 2, cell 1</td>\n",
    "<td>row 2, cell 2</td>\n",
    "</tr>\n",
    "</table>\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "h = HTML(s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<th>Header 1</th>\n",
       "<th>Header 2</th>\n",
       "</tr>\n",
       "<tr>\n",
       "<td>row 1, cell 1</td>\n",
       "<td>row 1, cell 2</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td>row 2, cell 1</td>\n",
       "<td>row 2, cell 2</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(h)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also use the `%%html` cell magic to accomplish the same thing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<th>Header 1</th>\n",
       "<th>Header 2</th>\n",
       "</tr>\n",
       "<tr>\n",
       "<td>row 1, cell 1</td>\n",
       "<td>row 1, cell 2</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td>row 2, cell 1</td>\n",
       "<td>row 2, cell 2</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%html\n",
    "<table>\n",
    "<tr>\n",
    "<th>Header 1</th>\n",
    "<th>Header 2</th>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>row 1, cell 1</td>\n",
    "<td>row 1, cell 2</td>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>row 2, cell 1</td>\n",
    "<td>row 2, cell 2</td>\n",
    "</tr>\n",
    "</table>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## JavaScript"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Notebook also enables objects to declare a JavaScript representation. At first, this may seem odd as  output is inherently visual and JavaScript is a programming language. However, this opens the door for rich output that leverages the full power of JavaScript and associated libraries such as [d3.js](http://d3js.org) for output."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import Javascript"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pass a string of JavaScript source code to the `JavaScript` object and then display it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "js = Javascript('alert(\"hi\")');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "alert(\"hi\")"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(js)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The same thing can be accomplished using the `%%javascript` cell magic:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "alert(\"hi\");"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%javascript\n",
    "\n",
    "alert(\"hi\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here is a more complicated example that loads `d3.js` from a CDN, uses the `%%html` magic to load CSS styles onto the page and then runs ones of the `d3.js` examples."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "$.getScript('//cdnjs.cloudflare.com/ajax/libs/d3/3.2.2/d3.v3.min.js')"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Javascript(\n",
    "    \"\"\"$.getScript('//cdnjs.cloudflare.com/ajax/libs/d3/3.2.2/d3.v3.min.js')\"\"\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "\n",
       "circle {\n",
       "  fill: rgb(31, 119, 180);\n",
       "  fill-opacity: .25;\n",
       "  stroke: rgb(31, 119, 180);\n",
       "  stroke-width: 1px;\n",
       "}\n",
       "\n",
       ".leaf circle {\n",
       "  fill: #ff7f0e;\n",
       "  fill-opacity: 1;\n",
       "}\n",
       "\n",
       "text {\n",
       "  font: 10px sans-serif;\n",
       "}\n",
       "\n",
       "</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%html\n",
    "<style type=\"text/css\">\n",
    "\n",
    "circle {\n",
    "  fill: rgb(31, 119, 180);\n",
    "  fill-opacity: .25;\n",
    "  stroke: rgb(31, 119, 180);\n",
    "  stroke-width: 1px;\n",
    "}\n",
    "\n",
    ".leaf circle {\n",
    "  fill: #ff7f0e;\n",
    "  fill-opacity: 1;\n",
    "}\n",
    "\n",
    "text {\n",
    "  font: 10px sans-serif;\n",
    "}\n",
    "\n",
    "</style>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "// element is the jQuery element we will append to\n",
       "var e = element.get(0);\n",
       "    \n",
       "var diameter = 600,\n",
       "    format = d3.format(\",d\");\n",
       "\n",
       "var pack = d3.layout.pack()\n",
       "    .size([diameter - 4, diameter - 4])\n",
       "    .value(function(d) { return d.size; });\n",
       "\n",
       "var svg = d3.select(e).append(\"svg\")\n",
       "    .attr(\"width\", diameter)\n",
       "    .attr(\"height\", diameter)\n",
       "  .append(\"g\")\n",
       "    .attr(\"transform\", \"translate(2,2)\");\n",
       "\n",
       "d3.json(\"data/flare.json\", function(error, root) {\n",
       "  var node = svg.datum(root).selectAll(\".node\")\n",
       "      .data(pack.nodes)\n",
       "    .enter().append(\"g\")\n",
       "      .attr(\"class\", function(d) { return d.children ? \"node\" : \"leaf node\"; })\n",
       "      .attr(\"transform\", function(d) { return \"translate(\" + d.x + \",\" + d.y + \")\"; });\n",
       "\n",
       "  node.append(\"title\")\n",
       "      .text(function(d) { return d.name + (d.children ? \"\" : \": \" + format(d.size)); });\n",
       "\n",
       "  node.append(\"circle\")\n",
       "      .attr(\"r\", function(d) { return d.r; });\n",
       "\n",
       "  node.filter(function(d) { return !d.children; }).append(\"text\")\n",
       "      .attr(\"dy\", \".3em\")\n",
       "      .style(\"text-anchor\", \"middle\")\n",
       "      .text(function(d) { return d.name.substring(0, d.r / 3); });\n",
       "});\n",
       "\n",
       "d3.select(self.frameElement).style(\"height\", diameter + \"px\");"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%javascript\n",
    "\n",
    "// element is the jQuery element we will append to\n",
    "var e = element.get(0);\n",
    "    \n",
    "var diameter = 600,\n",
    "    format = d3.format(\",d\");\n",
    "\n",
    "var pack = d3.layout.pack()\n",
    "    .size([diameter - 4, diameter - 4])\n",
    "    .value(function(d) { return d.size; });\n",
    "\n",
    "var svg = d3.select(e).append(\"svg\")\n",
    "    .attr(\"width\", diameter)\n",
    "    .attr(\"height\", diameter)\n",
    "  .append(\"g\")\n",
    "    .attr(\"transform\", \"translate(2,2)\");\n",
    "\n",
    "d3.json(\"data/flare.json\", function(error, root) {\n",
    "  var node = svg.datum(root).selectAll(\".node\")\n",
    "      .data(pack.nodes)\n",
    "    .enter().append(\"g\")\n",
    "      .attr(\"class\", function(d) { return d.children ? \"node\" : \"leaf node\"; })\n",
    "      .attr(\"transform\", function(d) { return \"translate(\" + d.x + \",\" + d.y + \")\"; });\n",
    "\n",
    "  node.append(\"title\")\n",
    "      .text(function(d) { return d.name + (d.children ? \"\" : \": \" + format(d.size)); });\n",
    "\n",
    "  node.append(\"circle\")\n",
    "      .attr(\"r\", function(d) { return d.r; });\n",
    "\n",
    "  node.filter(function(d) { return !d.children; }).append(\"text\")\n",
    "      .attr(\"dy\", \".3em\")\n",
    "      .style(\"text-anchor\", \"middle\")\n",
    "      .text(function(d) { return d.name.substring(0, d.r / 3); });\n",
    "});\n",
    "\n",
    "d3.select(self.frameElement).style(\"height\", diameter + \"px\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## LaTeX"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The IPython display system also has builtin support for the display of mathematical expressions typeset in LaTeX, which is rendered in the browser using [MathJax](http://mathjax.org)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can pass raw LaTeX test as a string to the `Math` object:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$$F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx$$"
      ],
      "text/plain": [
       "<IPython.core.display.Math object>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Math\n",
    "Math(r'F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With the `Latex` class, you have to include the delimiters yourself.  This allows you to use other LaTeX modes such as `eqnarray`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "\\begin{eqnarray}\n",
       "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
       "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
       "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
       "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 \n",
       "\\end{eqnarray}"
      ],
      "text/plain": [
       "<IPython.core.display.Latex object>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Latex\n",
    "Latex(r\"\"\"\\begin{eqnarray}\n",
    "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
    "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
    "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
    "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 \n",
    "\\end{eqnarray}\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Or you can enter LaTeX directly with the `%%latex` cell magic:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "\\begin{align}\n",
       "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
       "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
       "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
       "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0\n",
       "\\end{align}"
      ],
      "text/plain": [
       "<IPython.core.display.Latex object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%latex\n",
    "\\begin{align}\n",
    "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
    "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
    "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
    "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0\n",
    "\\end{align}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Audio"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "IPython makes it easy to work with sounds interactively. The `Audio` display class allows you to create an audio control that is embedded in the Notebook. The interface is analogous to the interface of the `Image` display class. All audio formats supported by the browser can be used. Note that no single format is presently supported in all browsers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio controls=\"controls\" >\n",
       "                    <source src=\"http://www.nch.com.au/acm/8k16bitpcm.wav\" type=\"audio/x-wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Audio\n",
    "Audio(url=\"http://www.nch.com.au/acm/8k16bitpcm.wav\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A NumPy array can be auralized automatically. The `Audio` class normalizes and encodes the data and embeds the resulting audio in the Notebook.\n",
    "\n",
    "For instance, when two sine waves with almost the same frequency are superimposed a phenomena known as [beats](https://en.wikipedia.org/wiki/Beat_%28acoustics%29) occur. This can be auralised as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio controls=\"controls\" >\n",
       "                    <source 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rLudBZKiidaExYN5ht2MwZbYo76z9sX22SDv0ARhGigvhELgU7Niim4Jd+17D31legV0H2r+XApNvDqjJloRifvV5enQaL3pq/Sc/pBliGuDOILWhDCLF5U+oj6yncTM2C7uHATvGfsunUI8VE9jYW8UeCN9Z37We4J1nWtzXmpO/ju+J0cSQfxU5izRbb2xq4KcVpCMh2iCE4GYg+OJxJPuoPywcsO/10ftYQNkGaMue0JQVJdj22+7ePJ9WH/gfJ92xWycX41PEj28KCgT//zr5pjRrL3Bq2ScDJAYh86BWIDBgveIyZLsn/qvdsLR1mzsoALBGCMuIEIcVItj92/9eFh+33+EfVt3k214YG9Q9T2aKfsTwv2Y5yzSI74ZrJqcH5AIh5yBBoBRgmyIKJI4nzmvrMED1qHr3AEJGHwtjUGhUyxjtW/beFZ+/H/AfbR3B24EYQ9Rpj5WKr8Uh/5b6ObS0b62rCKdjpBch9OBHYBJgkSI4ZHVnrquFsFZ1ebqFgE9F64sxEDiUntiF29UeOp9r3+Ufap3IG4/YWxRIj/vKnAVTf8w6cbTtL+XrfydWpEUiHKCn4CpgoCI9pHCnn+utMDT1D/qUABfFr4rxz/fUXphHm5rdxd9+H7/fDx33G0pYYRRaD9iKw4WEAAW6sjUy8C7riWfgJIviXmDioFygyCJaJIBn4quicBz1Kvpjv9xFasqlz6aUClgy2wfdt172X0DfGt2PW3AYFZRdz+vK5YW0gAL6+rVE8IgsJyg/5OqiuaE3oKihCOKNpOTn9uulsA61C7pz/51FHkpNz0WT4xeIWt0dD16UXyfejZ1QWwFYOJQTj/TKwgXjgEO7CzXi8PEsWCi1ZWGjLiGmoQ5homLYJR4oHOv3MAq1MnoFv5tEykoqDtUTaNcIGlpcjl4YnrVeJ9z6Gr2XiZQ7D7OK2EXQwIb7YrYMMWks22kAJi+ju6Iu4Y2iFKN5pWwoVKwW8FF1HzoZf1bEr4m7jlXS3Jay2YDcNN1DnimdqVxNGmVXSNPUD6eK6AX8AIx7gHa/8a9tcGmfppSkYWLQYmXinyPyJc6o3mxFMKK1EvovvxBETolCjghSftXJWRCbQxzV3UTdEtvJWfiW9lNej1DK8MXkgNO75Hb98gOuFqpS50/lHqOKYxbjQaSBJoXpeeyCMP71DboIfwiEJ8jADa2RkFVMWEqauhvQHIgcZJsvWTcWUhMaTy7KsoXKARv8DbdE8uTujSsZaCBl8yRcI9+kO2UmZxEp5y0NsSZ1T3okvv/DvAh0TMYREdS8l2+ZmpsyW7NbXxp/GGHV29KHTsHKrMXsQST8e7eU81JvUyvyaMWm3aVFJMAlDGYhZ/CqZe2n8Vk1mToEfvaDS8ggTFLQRFPa1oCY5Ro+Godagxm5V7iVFFIlzklKX4XKgW48rfgss8twKCycqf6nneZEpfcl86bx6KOrNi4Qsdc16nooPq2DGAeEy9QPqFLoFb4Xmpkz2YUZkNieVvvUe5F1jcWKCkXkgXb843iLtI8wyu2Xqspo8mdZpsQnMKfW6anr127H8mC2A7pQfqUC4MciiwtO/xHlFKkWvBfUWK2YSVevFewTkdD3TXZJrMW6AX79G/kxNRzxuq5ia+gp2miDKCZoAmkQKoLsyW+NcvW2ZTp9Pl3Cp0a6SnlNyVES04LVipbg10EXbVZsFMoS15AqjNvJR0WKwYW9lrmcNfNydi97rNarFSnAaVypaGocq63ti7BhM1X2zvqu/lfCa8YMid6NB9AykkxUR1WaFgEWPZUWE9YRzU9QDHYI2UVWQYp90voMNpIzfPBirhTsYSsQaqYqoWt77KqunfECdAE3QPrmPlQCLsWaSTwMPA7FUUbTMtQBVO6Uu1PuEpEQ845oC4UIowUcgY0+D/qAd3f0DbGV72GtvWxxq8GsLKys7ffvv3HxNLe3u3rivlLB8UUkSFMLZs3MUDMRjxLX00pTZ1K0kXuPio2zCslIJITdAY0+Tbs39+P1JzKUsLvu6K3jLW4tSS4urxUw73LstXj4Pjsk/lRBs8Srh6RKSUzITtKQXJFe0dXRwtFqkBaOk0yxCgLHnUSXwYo+ivuyOJV2CLPdceIwYe9jrupu9a9AcIGyLbP0tgS4yXutPlkBdsQwRvCJZEu6zWaO3Q/XEFIQTo/RjuLNTkuiyXHGzgRMwYO+x3wt+Us3MPTvcxOx57Dx8HUwcPDgsfyzOTTI9xr5XPv7fmFBOwOzxjkIeQpkzDBNUY5CjsCOzE5qDWFMPIpJCJaGdoP7gXk+wryq+gQ4HvYI9I6zeHJMcg0yOjJO80S0kXYoN/r5+LwPvq2AwMN2hX5HSIlHyvEL+4yiTSJNPMy1i9LK3olkB7HFlsOkAWr/O7zoOv/40XdpNdH00zQyM7Ezj3QJtNk19TcSeOR6nDyqPr5AiML5hIHGlEgkyWoKXIs3i3kLYcs1CniJdQg0xoOFL0MGQVf/cn1k+705x3iOt1w2djWhdV+1cDWPtni3I7hG+db7R30LPtOAk4J9Q8RFnMb9B9zI9clECcXJ/AlpyNPIAYc7hYzEQELiQQB/pj3gfHr6/7m4eKv34HdY9xc3Gndft+K4nDmEutI8On1yPu1AYUHCg0aEo8WSBoqHSIfJCApIDYfVB2VGhEX5hI2DicJ4QOP/ln5aPTg7+XrkugA5kDkXONZ4zPk4uVV6HbrK+9V89H3ffwxAcwFKQomDqcRkhTTFlsYIBkfGV0Y4Ba5FPsRvQ4aCzAHIAMJ/wv7RPfR88zwSu5c7A/raupu6hrrZOxA7pzwY/N/9tX5Sv3CACMEUwc5CsEM2Q5zEIURChIAEmoRUhDBDscMdgrhBx8FRgJu/6v8E/q697D1A/S+8unxhvGX8Rby/vJF9N31uPfF+fP7MP5oAIwCiwRWBuEHIgkQCqgK6ArQCmUKrQmwCHoHFQaOBPUCVQG9/zj+0vyW+4v6uPkh+cf4rPjL+CP5rPlf+jX7JPwk/Sr+Lf8kAAkB1AGBAgsDcAOvA8kDwAOXA1MD+AKNAhcCnQEkAbIATAD2/7H/gP9j/1v/Zf9//6X/1P8GADgAZQCJAJ8ApQCXAHYAQAD3/5z/Mv++/kT+y/1X/e/8mvxc/Dr8Ovxd/Kb8FP2n/Vz+Lv8YABMBGAIdAxkEAwXRBXsG+AZCB1MHKAe/BhkGNwUfBNgCaQHf/0T+pPwO+475NPgL9x72efUi9SD1dvUj9if3e/gX+vD7+v0kAGACmgTCBsQIkAoVDEUNFA54DmwO7Q37DJsL1gm3B0wFqALe/wP9Lfp19+/0svLQ8FzvZO7x7Qrusu7n76Hx1/N49nP5svwaAJQDBAdOClcNBhBEEv0TIBWjFX0VrRQ3EyMRfg5bC9EH+gPz/9r70ff282nwSe2u6rDoYefO5v/m9ees6RnsLO/O8uf2Vvv7/7EEVAm/Dc8RYRVZGJ0aGBy7HIAcZRtvGaoWKxMKD2QKXgUdAMv6j/WU8AHs/eeo5B7id+DB3wXgReF545Pmfuod70306fnF/7MFhwsRESYWnBpPHh8h9CK8I3AjDSKcHy0c2Re+EgMN0wZeANX5avNR7bvn0+LD3q3bqtnO2CLZp9pT3RXh0eVm66rxbPh6/5wGnA1DFFsatB8hJH4nrymfKkUqoCi6JaYhgxx2FqsPWAizAPn4ZPEx6pnj0N0F2WHVAdP80VzSINQ/16PbK+Gv5/7u4PYa/2sHkw9SF2oeoyTKKbYtRDBfMfswGC/CKxEnJSEsGloS6gkdATj4fu81557f9thy0z/PgsxQy7jLuM1D0UHWjtz6403sSPWm/h8IaRE7Gk8iZilGL8AzrTb1N4s3cDWwMWcsvCXfHQ0ViAubAZH3ue1f5M7bStQOzk7JMcbRxDzFcsdky/bQ/9dK4JnppfMg/rgIHRP8HAkm+i2RNJc55TxdPvE9ojt/N6YxQiqKIcEXMA0rAgb3Fuyy4SzYz8/eyJHDE8CDvu6+VcGnxcXLg9Ol3Obm+PGH/TYJrxSVH5MpWjKlOTg/5kKQRCZEqUEpPcc2sy4qJXMa4A7MApT2luov37rUicvmww2+L7psuNS4ZrsSwLTGHc8M2TbkRfDd/JsJHRYCIuwshTaAPp5ErEiKSiVKf0epQsc7DDO6KCAdlxB+Az32OenY3HvRfMcqv8e4ibSRsvGyqrWousfB0sqE1Yzhje4j/OUJaBdDJBIwdjodQ8NJMk5FUOlPH036R6BASDc4LMYfUBI/BAD2AOit2nDOqMOsusOzJa/3rE2tJ7BwtQO9psYR0uve0uxb+xUKjxhXJgEzKj55R6VOc1O9VW1VhFIYTU5FYzuhL2IiDBQNBdz16+ax2JzLE8BytgWvB6qip+un4KpvsG24nsK1zlXcF+uH+i0Kkhk8KLk1oEGRSz9TbFjsWqxaqlf9Uc1JWD/vMvAkxhXoBdH1++Xj1gDJvrx9spCqNaWYos+i3KWoqwe0vL51y8/ZXemn+SwKcBryKTg41ERiT45XF13QX6JfjFylVhdOJEMgNm0nfhfNBt31L+VG1Z7Gq7nRrmimsaDcnQCeHqEgp9ivBrtUyFvXqOe9+BQKKht3K306xkfpUo9bcmFkZEpkJmELWypSxEYwOdgpMRm7BwD2h+TY03fE3LZwq5CigJxymYCZqpzbouOrf7dVxfvU+eXL9+YJwBvMLIY8ckojVj5feWWjaKFocmUtXwBWMkocPCws2xqwCDn2A+Sc0o3CU7RdqAqfpJhelVOVhZjeniyoKrR8wrPSU+TT9qMJMhzwLVI+10wPWZhiKGmKbKJsbmkFY5dZbE3hPmcufByrCYb2ouOQ0d/AEbKZpdqbIZWkkX6Rs5Qsm7ekDLHMv4bQuOLX9UwJghzjLuE/9U6qW51lfmwXcEtwFm2QZupcblB8QYYwEB6oCuf2Y+O10G+/GLAnowKZ+pFFjgOON5HJl4ehJ65IvXbOLOHY9OIIsBymLzJByVDzXUhod29Gc5dzZnDKafZfNVPoQ4YylR+oC1n3RuML0D2+aK4HoYSWMI9Gi+aKFI64lJ+ef6v0uobMr9/Z82cIvBw4MEVCVFLpX5lqEXIVdoV2W3OxbLhivVUkRmU0CSGmDNz3SuOQz0m9Aq07n2CUxoypiCmITYv8kQOcF6nRuLnKRN7b8t0HqBybMBpDlVOLYY9sSnSBeBB583VBby1lBFgsSB82aSKjDW74beNFz5K856vEnZmSvopvhs+F5IiYj7aZ8abkthLJ79zh8UUHdhzPMLJDi1TXYiduInaIejh7K3h4cVJnCFr/SbM3tCOaDgz5r+Mozxm8FqujnDCRGImahNqD3YaOjbqXEaUttZLHsNvs8KAGJhzVMAxEN1XOY2FvlXcqfPt8AXpUcyVpxFuYSx455iSMD7b5DeQ5z927j6rWmyWQ14csg0uCOYXiixGWeaOxszzGitr/7/EFuhutMCpEmFVwZD1wpHhkfVZ+c3vRdKNqOF33TF46/iV1EGr6h+R3z927U6pgm3iP+oYmgiSB+oOUir6UKqJxshPFgNkb7zoFMxtbMA1EsFW8ZLpwT3k2fkl/gHzvdctrYV4YTnE7+iZTESX7GuXfzxi8X6o+myqPgoaJgWWAIYOmicKTKKFusRjElNhD7nsEkxrdL7VDgFWzZNlwlHmfftJ/JX2tdptsPV/7TlM81yclEub7xuVx0Iy8tKpxmzqPb4ZUgRGAroIZiR+Tc6CssE7Dxtd47bgD3Bk3LyRDCFVXZJtwdHmffvJ/ZH0IdxFtyl+dTwU9lCjoEqv8iOYq0Tm9T6v3m6iPwYaJgSaApILviNaSDKArsLXCGte87PECEBlqLlxCSVSnY/9v8Hg2fqh/O30BdyxtCWD8T4Q9LymcE3P9XucK0h2+MKzPnHKQeIcmgqWAAYMoieiS95/ur1HCkdYR7CoCMBh4LV5BRlOmYgdvCHhlffR+qXyXdu1s9l8YUM49pik9FDr+R+gO0zW/Va35nZiRkYgqg46BxoPDiVWTMqD0ryHCLdZ662MBPxdjLCxAAFJVYbRtvnYtfNd9sHvJdVJskl/vT+I99ynKFAD/QOk01IDAvK5xnxeTDIqWhN+C84TCih+UvqA/sCjC7tX36p4APhYsK8g+eVC2XwlsE3WOelJ8UHqZdFpr3V6BT789IipCFcL/SOp71fzBYrA3oe6U54tnhpiEh4YkjEOVnaHQsGfC19WL6uD/LxXXKTU9s07KXQZqCHOLeGZ6iXgGcwhq1V3NTmU9JSqjFX4AXOvf1qbDRrJHoxuXII6biLeGgIjojcSWzqKosd7C6dU26ib/FhRlKHQ7sUyWW69noXAmdhR4XnYScVpoe1zSTdI8/inrFTQBe+xe2HzFZrSfpZuZtZAxizqJ3YoMkJ+YUKTGso3DJdb76XX+8xLYJok5dkoaWQdl321gc191z3O+blJm0FqRTAU8rikZFuABoe332XvHvbY9qGyco5MnjiCMnI2QktOaJKYqtHfEi9ba6c39yRE0JXY3A0hbVg9ixWo8cEly4HALbPFj1FgKS/86MiksFoICzu6n26HJSrkdq4qf6JZ4kWWPvJBylWCdSKjUtZnFHNfV6TH9mhB6Iz41XUVaU8teV2e9bNVukW37aDlhiFY9ScA5iigiFhgD/+9r3evLCbw9rvOif5ojlQeTOpSvmESgvKrEt/XG2tft6aP8aA+tIeMyhkIcUD5bl2PmaAZr5mmRZSpe7VMrR0c4tyf7FZ8DMvFA31bO976ZsaKmZ54lmQOXEphGnH2jfa34uYvIxNgj6iP8NQ7PH2kwgT+kTG1XiV+8ZN5m4WXPYchaBVHURJU2tya2FRcEZPIl4d/QEsIttZWqmqJ4nVabQpwzoAini7BwvFnK2tl46rP7Aw3kHdItUjz1SFlTMVtAYGFihmG3XRRX0007Qqo0iiVRFX4ElfMW44PTVMX2uMeuFqcbovufxqBzpOOq47Mqv2DMHdvt6lX71AvtGyEr/DgTRQlPk1Z4W5Rd2VxOWRJTVkphP4gyMiTNFNMEwfQS5T/WvMjwvDWz1asHp/Ckm6UEqQyvgrckwp3Oi9yB6wr7qwruGVsogzUCQX9Ks1FoVnpY3VeXVMROlEZHPC8wrSIpFBUF6PUV5xDZRcwXwdq31LA6rC6qvarhrX6zaLtexRHRJt427NL6iAnoF4El6zHHPMFFlkwTURhTllKVTy5KjULvOKEt/CBjE0IFBvcd6fLb7M9mxbG8DravsbOvKLAHsze4j7/UyLrT7d8L7bD6bgjeFZciNy5kONJAQEeAS3JNCU1MSlJFRT5bNd4qIB9+ElkFG/gn6+PerNPaybbBfrtgt3m11rVxuDS998OEzJbW3eEB7qP6XwfUE6EfayrfM7c7t0GyRY1HO0fBRDZAvjmPMeonGx13EVsFJPkx7d7hg9duzuXGIMFJvXu7w7scvnDCm8hs0KPZ+OMY7636XAbKEaAciiY9L3U2/zuwP25BMEH4Ptw6/jSMLcUk7BpQEEUFIfo57+LkbNsf0znM7sZkw7XB68ECxObHeM2I1N/cOuZP8M/6ZgXFD5oZmiKAKhExHTZ9ORs77Tr2OEk1BjBWKXEhlRgJDxcFD/s88evnZN/n16zR48ytySHISMgfypTNidLX2EngpOim8Qj7gATFDZAWnB6uJZArFjAgM5g0dzTAMoIv2yrwJPIdGRaiDdIE7vs48/bqZuPB3DrX+dId0LnO1c5u0HPTzNdU3d3jNOsd81r7qQPNC4UTlhrMIPYl8CmeLOwt1C1aLIspgSVdIEkadxMdDHQEu/wr9f/tb+er4d7cLNmv1njVjNXp1oHZPN384Zrn5+2y9MT75QLgCX0QjBbdG0kgsSP8JRwnCifKJWkj/B+gG3oWshB5Cv4Ddv0S9wTxeuue5pPid99e3VjcaNyL3bbf1eLM5nzrvPBk9kb8MwL/B3sNgBLmFo4aXR1BHy4gHiAXHyEdURq+FoYSzQ24CG8DHv7t+AP0hu+X61To0uUk5FPjY+NP5A/mkejA64DvsvM0+OH8lQEsBoIKdg7sEckU+xZyGCcZFhlEGLkWhBS6EXIOyArbBsgCsv64+vf2jPOR8BvuOuz76mPqduov64bsbe7T8KPzxPYe+pX9CwFpBJQHcwrzDAEPjxCWEQ4S+BFYETUQmw6ZDEEKqAfjBAkCMv9y/N75i/eI9eTzqPLc8YPxnfEm8hbzZPQC9uL38/kj/GD+lwC4ArQEegb/BzkJIAqxCukKygpZCpsJmQheB/UFbQTSAjIBnP8Z/rb8fvt4+qn5F/nD+Kz40fgs+bn5cPpI+zn8Ov0//kL/OAAbAeQBjgIVA3cDswPKA74DkwNMA/AChAINApMBGwGpAEQA7/+s/33/Yv9b/2b/gf+p/9j/CgA8AGkAiwCgAKQAlQByADoA8P+T/yn/tP46/sH9Tv3n/JT8WPw5/Dv8Yvyt/B/9tf1s/kH/LAApAS4CMgMuBBUF4QWHBgAHRgdSByIHtAYIBiIFBgS6AkkBvv8h/oH87fpw+Rn49PYN9m71HvUk9YH1NvZA95v4PPoa/Cf+UwCQAskE7wbtCLMKMgxaDSAOfA5mDt0N4gx5C6wJhgcWBW0Cov/G/PL5Pfe89IbyrfBD71Xu7e0T7sfuB/DM8Qv0tfa2+fn8ZADfA0wHkgqUDTsQbhIbFDEVphVyFZUUERPwEEAOFAuCB6UDnP+D+3z3p/Mi8AvtfeqN6E3ny+YM5xPo2elU7HTvIvND97j7XgAVBbUJGg4gEqcVkRjEGi4cvxxxHEMbOxlnFtkSqw78CfAErf9a+iL1LvCm66/naeTy4V7gvd8W4Gvhs+Pf5trqhu/C9GT6QwAxBgEMgxGMFvMalB5QIQ8jwSNdI+MhXB/ZG3MXSRKDDEwG0/9K+eXy1exL53Tid95324zZydg32dXamd1x4UHm5us28gD5EQA0By8OyxTVGhwgdCS5J9AppSovKm4obiVCIQoc6xUUD7cHDgBV+MbwnukV41/drNgh1d7S9tF00lbUkdcO3K3hROih7473zP8bCD0Q8Bf4HhwlKir6LWowZTHhMN8uayueJpogjRmrETEJXwB798jui+YG33TYC9P2zlnMScvTy/TNoNG71iLdo+QH7Q32cf/oCCoS7xrxIvAptC8ONNk2/TdvNzA1TjHmKx8lKx1IFLcKxAC89uzsoOMj27jTms37yALGyMRaxbbHy8t+0aTYCOFp6oH0Av+ZCfYTxh2+JpQuDDXvORY9Zj7SPVs7EzcXMZQpwyDmFkkMPQEZ9jLr3eBt1yzPXMg0w9+/eL4Ov5/BGcZbzDnUdd3L5+vygP4vCp4VdCBbKgUzLjqaPx5Dm0QFRFxBszwrNvUtTySDGeINyAGR9ZvpRt7p09bKV8OnvfW5X7j1uLW7jMBXx+PP79kw5U7x7f2pCiIX9iLHLUA3FT8JRepIl0oCSixHKkIeOz8yzicdHIMPYwIk9Sno2tuX0LnGjr5XuEi0grIVs/+1LLt2wqfLedaZ4qvvSf0JC4IYSyX+MEA7v0M4SnZOVVDFT8hMckfrP2w2OyuvHikRDwPR9NvmnNl6zdbCBLpKs96u5axxrYCw/LW+vYrHFtMK4APulfxOC70Zcif/MwQ/KEgjT71Tz1VIVSlSiEyORHk6ky45IdESygOZ9LPljdeVyjK/vbWCrrqpjqcQqD6rArExuY7Dys+H3Vvs1Pt5C9MaaSnINohCTEzHU7xYAluHWktXZlEDSWE+0jG2I3kUkQR69LDkrtXpx867vLEEquKkgaL1oj2mQqzWtLm/mMwR27PqB/uMC8QbMCtXOctFKVAfWG1d6V99XylcB1ZETSJC9TQkJiAWZAV19NLj/9N4xa24Ba7TpVigwp0lnoKhwKewsA+8hcms2A7pLvqFC48cxiyrO8pIu1MoXM5hf2QlZMBgaFpOUbZF+TeAKMIXQgaH9BnjgtJCw9G1maryoSGcVZmlmRGdgaPDrJK4k8Za1m/nTPlnCzUdKi7CPYJLAFffX9tlwmh8aAplhV4dVRpJ2TrGKl4ZJwew9IbiNtFKwTyze6dknj+YPZV4le+YiJ8TqUa1xcMf1NflY/gzC7cdXS+bP/RN9llCY5BprWx+bARpWGKtWEtMkz31LPEaEwjv9BbiHdCPv++wrqQtm7eUgJGikR6V2pukpTCyH8H+0UnkdffqChQeXTA3QR1Qm1xOZutsPXAocKts4GX6W0ZPJEAJL3kcBAlC9crhNc8TvuuuMqJNmIqRHo4mjqOReph5olOvpL74z8jigvaNCk4eLDGTQvtR7V4Baepvb3N1c/pvF2kCXwZSiEL/MPMd+Amp9aHhf87WvDGtCqDHlbuOG4sHi4CObJWWn7GsWLwRzlXhjvUdCmYeyjGxQ5BT62BZa4lyQXZkdu9y/GvAYYlUvUTWMl4f7Qoh9pvh+s3Yu8KrNp6dk0yMeohJiLmLspL+nE6qPLpMzPPfmfSdCVweNjKPRNlUlGJVbcd0sXjyeId1i24xZMtWv0aJNLYg4Aup9rXhps0Zu5+quJzQkT6KPYbthVGJT5Czmi2oU7iryqXep/MNCTIecjIvRdZV52PzbqN2vHoce8B3wXBUZstYjUgXNvoh0QxA9+7hgc2ZusepkJtikJSIZYT1g0mHRo65mE+mobYwyWzdufJvCOkdfzKQRYlW5GQycBt4YHzgfJZ5nHImaIVaI0p+NycjvA3k90bijM1WujqpvppSj0+H9IJkgqOFmYwRl7mkKLXex0vc0PHGB4MdXjK0RfBWi2UTcS55nX0+fgp7GnSjafdbf0u7ODwkoQ6T+LvixM1RuvmoQpqhjm6G64E7gWKES4u+lWuj6bO3xkTb8PASBwAdDzKbRQxX22WUcdx5cn4zfxh8OXXLaiBdoEzMOTUlfA9L+UvjKc6IugGpHZpPjvOFS4F6gIeDW4rBlGii57K9xVnaGvBWBmMclTFHRd9W1mW2cSR63n6/f8B8+HWca/1dgk2uOhImTRAK+vXjuM76ulOpTZpcjt6FE4EjgBODzYkclLKhJLLyxIvZT++UBa4b8TC4RGlWfGV6cQd64X7hfwF9VnYVbIxeJk5hO88mERHQ+rbkcc+lu+2p0ZrIji2GRYE1gAWDoInRk0qhobFYxN7Yku7MBOEaJDDwQ6xVzWTgcIV5e36af9p8UnYzbM1eiE7iO2wnxhGY+43lUdCJvM2qqZuQj+KG4IGygGCD1YnfkzChYLHxw1LY5e0DBP8ZMS/xQqhUzWPpb594rH3pfkx863X3a75eqE4wPOcnaxJj/HnmV9GivfOr0py1kPmH44KXgSKEbYpJlGehYrG9w+nXSu04AwsZGS69QWFTe2KXblZ3dXzOfVZ7InVga19ehE5JPD4o/RIt/XbngdLwvlutS540knOJTITmgkuFaIsNle6hqLG+w6XXwexuAgUY3ixWQNhR2mDrbKt12XpMfPp59nNvaq9dHE4tPG8oexP1/YPozNNwwAWvE6AMlE6LHIachNuGxYwtlseiMrL2w4fXTuyoAfEWgyu+Pg5Q7V7naqFz13hiejd4aHIiaa5cb03aO3ko5BO6/p7pNtUfwu6wJqI7loiNT4i5htCIhI6nl/GjArNkxJDX8evmANAVCir4PAhOtVyOaDlxcnYTeBB2eXB7Z1xbfUxQO1woNRR4/8Xqvdb8wxKzgqS9mB2Q5Io6iSmLo5B7mWulF7QKxcLXq+srAKMUdSgGO8ZLNVrjZXZurXNhdYVzKm56ZblZRUuOOhYobhQuAPbrX9gDxnC1JaeRmw2T2Y0djOWNIZOomzancbXpxR3Yf+t5/28TxybqOExJcFfnYlpriXBNcppwfWshY8ZXyEmTOaYnjRTcAC7tGdozyAW4DKq0nlSWK5FgjwCR/JUtnlGpELcAx6LYbuvR/jQSAiWoNp5GaVSfX+lnCm3bbk9tdGhwYIRVBkhgOAsnkBR/AWvu6duHys26M60hou6Z1pQAk3mUM5kIobqr9LhPyFLZeOs1/vQQKCNCNL1DI1ENXCdkM2kNa6hpEGVqXfRSAEb0NkYmeBQVAqzvy93+zMW9lrDXpdmd2Jj7lk2Yw5w4pHCuHLvXyS3an+um/bMPPSG7Ma5Aok01WBVgB2XnZqhlVWESWhhQt0NRNVUlQhScAu7wvt+Uz+rAM7TQqRCiLZ1Mm3mcqaC5p3Kxhr2WyzPb5Osm/XEOQx8XL3M96kkbVLlbimBsYlJhRV1oVvFMLEF1Mzkk7xMUAy/yv+FG0jnEBrgKrpCm0aHwn/mg4qSLq760MsCNzWXcR+y2/DENPB1YLBE6/UXCTxZXwVugXalc41hvUoFJYD5jMfIifBN8A23zy+MR1a7HC7yAslWrwKbjpMqla6mpr1G4HsO6z8LdyexY/PYLKxuBKYo24UEwSzFSrlaHWLFXM1QsTstFVTscL38h6xLQA6b04OXy10bLPcAtt1qw9ashqueqQa4RtCm8R8Yc0krfau0N/MAKExmXJuMymT1oRg1NV1EmU25SOU+gSdJBDTifLOIfOhISBNj1++fl2vvOmsQOvJq1bbGlr02wX7PAuEPArcmz1P3gK+7V+5EJ9habIx8vKjlvQbFHwEuATeZM+EnQRJg9ijTvKRoeaRE+BAL3Gero3czSG8kewRG7Ibdrtfi1wrixvZ3ETc1819niC++z+20I1xSSIEMrlzRKPCBC70WbRxtHdES+PyA5zzANJykceBBWBCH4OOz34LTWvs1YxrrADr1tu+G7Zb7iwjLJI9F22t7kDPCn+1MHuRJ+HVEn5i/9NmA86D99QRNBsz5wOm003Sz8IxAaaA9XBDX5Vu4P5K/afdK3y5HGLsOnwQbCRMRNyADOL9We3QvnLPGx+0cGnRBjGk4jGiuMMXU2sTkpO9Q6uDjoNIQvuSi9IM8XOA5BBDr6b/At57neVdc30Y7Me8kTyF/IWcrvzQPTa9nz4F/pbPLS+0gFhg5DFz4fOCb+K2YwTzOlNGI0iTIsL2gqZSRSHWkV6QwUBDH7g/JN6s7iQNzT1q7S8c+tzunOoNDE0zfY1t1z5NjryvML/FoEdwwjFCQbRSFXJjcqxyz4LcItKyxBKR4l5B++Gd4SewvPAxf8jfRt7evmOuGE3OvYidZt1Z3VFNfF2ZjdbOIa6HTuR/Vc/HwDcQoFEQUXRBycIO0jICYmJ/smoiUqI6gfOhsEFjEQ8AlyA+z8jfaJ8AzrP+ZH4kDfPt1O3HbcsN3w3yLjKufn6zLx4PbF/LECdwjsDeQSPBfSGo8dXx82IBIg9h7uHAwaahYmEmMNSAj+Aq79gfie8yzvS+sW6KblCuRM427jbeQ95s/oC+zV7w/0lvhG/fkBiwbaCsUOLxL/FCIXiRgtGQwZKhiQFk4UeREoDncKhQZxAlz+Zfqq9kjzV/Dt7Rns5+pf6n/qRuup7JzuC/Hj8wr3Z/rf/VQBrwTUB6wKIw0nD6sQpRESEvARRBEXEHMOagwMCm4HpgTMAfb+Ofyq+V33YfXF85Py0PGB8aTxNvIu84P0KPYM+CD6UvyP/sUA5ALcBJ0GHAhPCTAKuQrqCsQKTAqHCYAIQQfWBUsErwIQAXr/+v2b/Gb7ZPqb+Q75v/it+Nb4NvnH+YH6XPtO/E/9Vf5X/0wALQHzAZsCHwN9A7YDygO7A44DRQPnAnoCAwKJAREBoAA8AOn/p/96/2H/W/9o/4T/rP/c/w4AQABsAI4AoQCkAJMAbgA1AOn/i/8f/6r+MP63/UX94PyO/FT8OPw9/Gb8tfwq/cP9ff5U/0EAPgFEAkgDQgQoBfAFkwYIB0kHUAcbB6gG9wUMBewDnQIpAZz//v1f/Mz6Uvn/99/2/fVk9Rz1KPWM9Un2Wve7+GL6RPxV/oMAvwL4BBsHFQnWCk4Mbw0sDn4OXw7MDcgMVwuBCVUH3wQzAmX/ify3+QX3ivRb8orwKu9H7uvtHO7c7ifw9/FA9PL2+vlB/a4AKQSUB9UK0Q1uEJcSOBRCFagVZhV7FOkSvBABDssKMgdQA0X/LPso91jz3O/P7E3qa+g758nmG+cx6Afqkey973bzn/ca/MMAeQUVCnQOcRLrFccY6hpCHMEcYRwgGwcZIhaFEkwOlAmBBDv/6fm19MjvS+ti5y3kx+FH4LvfKeCS4e7jLec36/HvNvXg+sEArwZ6DPQR8RZJG9gefyEoI8MjSCO3IRsfhBsMF9QRAgzDBUj/wPhf8lns3OYW4i3eQ9tx2cfYTtkF2+HdzuGy5mfsw/KV+aoAywfADlIVThuCIMQk8SfuKagqFio6KCAl3SCQG2AVew4WB2r/svcp8AvpkuLw3FTY5NS90vPRj9KO1OXXe9ww4troRvA7+HwAywjmEI0YhB+TJYgqPC6OMGkxxTCjLhErKSYNIOwY+xB3CKL/v/YT7uPlcN7116bSsM4zzEXL8cs0zv/RONe43U7lwu3T9joAsAnrEqIbkSN4Kh8wWTQCNwI4TzftNOkwYiuAJHYcgRPmCe//6PUf7OLiedoo0yjNq8jWxcPEe8X8xzbMCdJM2cfhO+te9eT/eQrOFI8ecSctL4Q1RDpFPWw+sD0RO6M2hTDkKPofChZgC08ALfVP6grgsdaMzt7H28Kuv3G+Mr/swY3G9Mzx1Ejesujf83r/JguMFlEhISuuM7M6+D9SQ6NE4EMMQTk8izU1LXMjkhjkDMMAjvSi6F7dGdMmysvCRL2+uVa4G7kJvAvB/cer0NXaK+ZY8v3+twsmGOgjny74N6c/cEUjSaFK3EnWRqZBcjpuMeAmFxtvDkgBC/Qa597atc/5xfW967cMtHeyPLNYtrS7KcN/zHDXqOPJ8G7+LQybGVAm6DEIPF5EqUq1TmFQnU9tTOZGMz+MNTwqlx0AEN8Bo/O45Y3Yh8wHwl+51LKbrtismq3esIy2fL5wyB7ULOE279D9hwzqGooo+zTaP9NInU8CVN5VH1XJUfRLy0OLOYMtDiCVEYUCV/N85GvWkclUvgy1A65yqX6nOqigq5qx+rmCxOLQut6g7SL9xgwTHJQq1DdtQwNNSlQHWRNbXVrnVspQNUhnPbMweiIrEzoDJfNm43rU1cbiugCxfKmUpG+iH6OjpuCsqbW6wL/NVdwK7Gf86gwWHWwsczq+RutQq1i+XfxfUl/CW2VVbUwbQcgz2CTAFPsDDfN34rvSVMS0tz2tQqUEoK2dUJ7soWWojLEbvbnK/9l26qD79gzzHRIu1jzKSYhUvFwlYpZk+mNVYMBZblCkRL42JSdSFsgEDvOt4S7REMLLtMapWaHHmz2Z0Jl+nSukp62oudTHvNfm6M766AypHoYv+z6PTNhXfGA3ZttoUmidZNddNVT/R5I5XinfF54FJ/MK4dPPCsApsp6mxJ3glyOVopVdmTig/qlnthHFjtVd5/T5www6H8cw4kAMT9ha52PyaclsVGyVaKdhvlcnS0E8gCtlGXwGWPOM4KzOQ77Rr8ejhJpSlGKRzJGOlY6clqZZs3bCeNPc5RP5iAylH9UxiUJAUYZd+2ZTbV1w/m86bCplBVsZTsg+iS3hGmAHnvMz4LfNu7zCrUKhnZcfkf2NT44UkjKZcaODsATAfdFm5C34NwzsH7Ay8UMpU+FftWlXcJJzTXOIb19oCF7SUCRBdi9QHEgI+PP+3/bMc7v+qxGfEZVLjveKL4vyjiaWkqDorb+9n8/94kP30wsPIFgzGUXHVOdhE2z7cmh2PXZ8ckFrwmBPU1FDRDGxHTIJZvTt32fMa7qHqjad4JLXi1OIb4gsjG6T/p2Kq6q74s2k4Vj2XAsPIM4zAUYYVphjFW4+ddp4zXgUdc5tMGONVU5F8DIBHx0K5fT+3wnMo7lcqbGbDZHFiRKGEYbDiQ2Rtpttqce5R8xd4G711QrtHxM0qUYeV/JkuW8ed+h6+HpNdwNwUWWJVxdHeDQ/IAYLdfUw4N3LG7l9qIKamY8XiDeEGIS6hwSPvZmSpxm40soq34b0PgqsHyc0EUfWV/Rl/XCaeJB8v3wled5xIWdBWalI2zVnIewLEvaB4OHL07jqp6uZhI7OhsOChIIUhleNFpj+paK2g8kO3qPzmglLHws0OkdDWKBm4nGxedB9H36aelxznmiyWgNKFDd3IswMvPbx4BTMyLijpyuZz43phbeBWIHShAiMw5axpGW1X8gK3cby6gjMHsEzJkdkWPVmZ3Jjeqh+Fn+qe310xmnaWyNLIzhvI6UNcfd94XXM+7iopwGZeo1rhROBlYD0gxeLxpWuo2S0Zscg3PLxMQgyHkoz1UY6WPNmjXKuehd/pX9UfD11mGq3XAZMBjlKJHUOL/gl4gLNa7n3py6ZhI1ThdmAO4B+g4aKH5X2oqCzmsZT2yjxbwd+HacySEbGV5tmU3KTehx/yn+XfJ51E2tJXatMujkJJTkP9Pjm4rrNFbqPqLGZ7Y2ghQmBS4Bug1eK0ZSMohuz/8Wk2mrwpwaxHNsxgUUKV+5lu3EUerh+hX90fJx1NGuMXQ9NPTqoJfAPvvm+45vO+LpvqYeatY5ShqGBxYDFg4mK3ZRvoteylMUV2rrv2wXOG+YwgUQGVu5kxXAveex91n7oezl1/GqCXTNNjzomJpgQjPqs5KLPE7yVqrGb2Y9oh6GCqIGEhB6LQpWiotSyW8Wo2RvvDQXWGswvS0O+VJxjc2/nd7d8v332enN0amonXRRNrTqCJi8RW/ut5c/QY70ArCudWJHiiAmE9IKqhRSMApYkoxSzV8Ve2Y3uPgTMGY0u4UEyU/phx209dhx7P3ydeUxzfWl9XLJMmDq6JrMRKfzA5h/S576srfSeMZO8iteFqIQ2h22NG5f2o5izh8U42RLucQOxGCwtREBlUQpgwmszdBx5WHred8NxNmiDWw1MTDrMJiQS9fzi55DTnMCZrwqhYZX2jAmIwoYniSaPj5gYpWC07sU52aztpwKIF6wreD5aT89dZ2nLcbl2DHi7ddlvlWY4WiNLyzm4Jn4SvP0R6R/Vf8LDsWuj5peMj56KQIl8iz+RXJqLpmy1isZh2V3t4gFTFg8qfzwSTUpbuWYHb/RzXHU1c5BtnGSeWPVJEzl8JsISfv5M6srWjsQntBKmvZp9kpKNIYwzjreTgpxNqLy2Xsex2SbtJQEUFVcoWjqSSoBYumPqa9FwS3JNcOpqSmK0VoJIIzgYJuwSN/+P647Yx8bDtv+o453FleOQYY9KkYyW/55eqlC4acgq2gjtcADNE4cmDjjbR3JVbWB3aFJt224Hbedno198VMxG/TaLJf0S5//Z7GnaJsmUuSysVaFimY+UAJO+lLyZ0aG9rCm6q8nM2gTtx/+AEqIknjXxRCVS1lyxZHppD2tlaYpkplz3UdJEnzXTJPMSigAo7lncqMuWvJivEKVQnZGY+JaOmEWd+KRor0O8JcuY2xztKP8wEakiCzPXQZxO+FicYE5l62ZpZdZgVlkmT5ZCCjTyI84SIgF571reSs7Hvz6zEKmLoeecR5u1nCShcKhesqC+1syO3FDtmP7fD6AgWTCRPtpK11Q8XNBgcmIYYc1ctlULTBlAPjLmIosSqwHK8GrgCtEiwxq3Ua0Qpo2h6Z8woValN6ydtT7BvM6v3aLtF/6ODokejC0iO+RGeFCUVwRcp11zXHNYyFGoSFw9PDCwISsSJAIa8ofi5NOkxiq7z7HZqn2m26T9pdepS7AjuRrE2dD73hHupv1ADWccpiqON71C3UuqUu9WkFiAV8tTj00ARWA6BS5QIKwRjAJm863k1dZJymi/hbbkr7WrGKoWq6WuqLTuvDTHKtNw4J/uR/33Cz0aqifYM2k+DEeATZZRL1NCUthODkkUQSg3myvGHg8R4QKs9Nvm2tkOztDDb7sqtS+xm694sLyzTLn6wIrKrtUP4kvv+/y0Cg0YnSQFMO05CUIeSPxLik2+TJ9JSUToPLYz/SgTHVMQIwPq9Q3p79zv0V/IicCouue2YLUethe5Mr5GxRjOZNjX4xbww/x6CdoVgSEYLE012TyGQihGpkf3RiNEQz9+OAwwLyY2G3gPUQMf90DrEeDn1RDNzsVZwNe8YrsDvLK+V8PNyd7RStvH5QHxofxKCKYTWh4VKI0wgTe+PB1Ah0H0QGo+ADrbMywsMSMzGX4OaQNJ+HTtPeP02d7ROcs3xvvCnMEjwonEt8iMztfVXt7e5wryk/wnB3QRKhsAJLErBTLLNuI5Mzu4Onc4hDQBLxkoByAIF2YNawNm+aTvb+YQ3sXWxdA9zE3JCch5yJbKTs6A0wLan+Eb6jLznfwRBkYP9hfdH8AmaiyzMHszrzRKNFAy1C70KdcjsRy5FC8MVgN1+s7xpek54sDbbdZm0sfPo87/ztbQFtSk2FreCuV97Hj0vfwKBSANwBSwG7whtiZ6Ku4sAS6uLfkr9Ci4JGkfMhlFEtoKKgN0+/Hz2+xp5szgLNys2GXWZNWw1ULXDNr23d7inOgC79z19fwTBAILixF9F6oc7SAnJEEmLifqJnkl6SJSH9IajRWvD2cJ5wJi/An2DvCe6uLl/eEL3x/dR9yG3NbdK+Bw44jnU+yo8V33RP0uA+8IWw5HE5AXFRu/HXofPSADINMeuBzFGRUWxRH5DNkHjAI+/RX4O/PT7v/q2+d85fLjRuN744zkbeYO6VfsLPBt9Pn4q/1cAuoGMgsTD3ESMxVHF54YMhkAGQ4YZhYXFDYR3A0lCi4GGQIG/hP6XvYF8x7wwO3569bqW+qK6l7rzuzL7kTxI/RQ97H6Kf6dAfUEFAjlClMNTA/FELQRFBLnETAR+A9MDjoM1gk0B2oEjwG6/gD8dvkv9zv1qPN+8sXxgPGs8UfyR/Ok9E72N/hO+oL8v/70ABADAwXABjkIZQk+CsAK6gq9Cj4KdAloCCQHtgUpBI0C7QBZ/9v9f/xP+1H6jfkF+bv4rvjc+EH51fmS+m/7Y/xl/Wv+bP9fAD4BAwKnAigDgwO5A8oDuQOJAz4D3wJwAvkBfwEHAZgANQDj/6P/d/9f/1z/av+H/7D/4f8TAEQAbwCQAKIAowCRAGoALwDi/4L/Fv+g/ib+rf08/dj8iPxR/Df8P/xs/L78Nf3R/Y7+Z/9VAFQBWQJdA1YEOgX/BZ8GEAdMB04HFAebBuYF9gTRA38CCQF6/9z9Pfyr+jT55PfJ9u71W/UZ9S31mfVc9nX32/iI+m/8gv6yAO8CJwVHBz0J+QpqDIINNw6ADlcOuw2tDDMLVgkjB6gE+AEo/0z8fPnO9lj0MPJp8BLvOu7q7Sfu8u5J8CTydvQv9z36if34AHIE2wcYCw0OoRDAElQUUBWpFVkVXxTBEocQwA2CCuIG+wLt/tX61PYK85bvlOwf6kvoKufI5irnUeg36s/sCPDL8/z3fPwnAd0FdQrNDsASLxb8GA8bVRzCHE4c+xrQGNsVMRLrDSoJEgTJ/nj5SfRk7/LqFufx457hMuC63z7gu+Er5Hvnlutd8Kz1XPtAAS0H8gxjElQXnRsZH60hQCPDIzEjiSHXHiwboxZdEYELOwW8/jX42/He62/muuHl3RHbV9nG2GfZN9sq3i7iJOfp7FDzK/pCAWIIUQ/YFcUb5yATJSgoCiqoKvspBCjQJHUgFBvTFOENdAbF/g73jO966BHig9z/16nUn9Ly0azSyNQ72OvctuJy6evw6fguAXsJjxEqGQ8gCCbkKnsurjBqMaYwZS61KrIlfh9KGEsQvQfk/gP2X+085dvdd9dE0mzOD8xEyxLMds5h0rfXUN775X7umfcEAXgKqxNUHC8k/SqIMKE0JzcEOC03pzSCMNwq3yO/G7oSFAkZ/xT1VOsm4tLZmtK5zF7IrsXAxJ/FRsijzJfS9tmI4g3sPPbFAFkLpBVWHyIowi/6NZU6cD1vPoo9xDowNvAvMSgvHywVdwpi/0H0bek53/bV7s1ix4XCgL9uvlm/PMIFx5DNrNUd35rp1PRyAB0MeRctIuUrUzQ1O1NAgkOnRLhDuEC8O+k0cSyVIp8X5Au//4vzqud43E3SeclDwuW8i7lRuEW5YLyNwabId9G82yjnYvMMAMUMKRnYJHUvrTg2QNRFWUmnSrFJfUYgQcI5mzDvJREaWg0tAPLyDebk2dfOPMVgvYO307NwsmiztLY/vN7DWs1p2Ljk6fGU/1ANsxpUJ9AyzDz5RBZL8E5oUHBPDUxXRnc+qjQ6KX0c1g6vAHXyl+SA15fLO8G+uGOyXa7QrMetQLEgtz2/Wcko1U/iavAK/74NFhygKfM1rUB6SRNQQ1TnVfFUZFFcSwRDmzhxLOIeVxBBARXyR+NM1ZHIer1ftImtL6l0p2ioB6w2sse6ecX80e/f5+5w/hEOUh28K904T0S2TchUTVkfWy1aflYrUGNHaTyRLz0h2xHjAdDxHuJJ08TF+rlHsPmoSqRhok+jDqeErYC2vsHozprdY+3H/UgOZx6lLYw7rUepUTJZCl4LYCJfVVu/VJFLEUCXMosjXxOSAqbxHeF50TTDvrZ5rLektZ+dnYCeWqIPqWyyKr7wy1Tb3+sS/WUOVR9cL/09xkpRVUxddmKnZMpj5V8TWYlPj0OANcgl4RRNA5bxQ+Dcz+HAyLP4qMagc5sqmQCa753bpJCuw7oYyR/ZX+pR/GgOGyDfMDBAmE2rWBRhjmbvaCFoKmQlXUlT30ZIOPQnYBYUBKDxkN9zzs6+G7HGpSidhpcNldOV0ZntoO+qi7dhxv/W5OiF+1IOuyAuMiRCIVC1W4ZkT2rgbCRsH2jvYMtW/knsOgkq1xfjBMHxBN8+zfq8t67louGZ85NJkfuRBJZHnY2nhrTQw/XUcOey+iUONCFJM9hDX1JtXqFntW12cM9vw2tvZAxa6ExqPQcsRxm6Bfrxnt49zGa7nqxXoPOWu5DijX6OjJLumW2kt7FowQTTBebY+eENhyExNEtFU1TQYGJqvXCvcx9zEG+gZwldmk+9P+otqxqXBknyXd5vyxO60KoenmCU4o3Zil2La4/mlpOhI68rvzDRp+T5+IgNtiHkNH5G+VXeYsdsZ3OHdhB2BHKAar5fEVLjQa8vAxx3B6zyQd7WygK5UKk7nCmSaYsxiJuIpYwwlAOfyqwcvXrPV+MY+BsNwCFkNW5HU1eWZM9urnX9eKF4m3QLbSliSlTZQ1QxSx1ZCCLzSd5wyjK4HaivmlCQU4nuhTyGPIrQkb6csao/u+bNF+I295wMpyGxNR5IYFj3ZXhwk3cOe8561XY/b0dkQ1adRdcygh47Carzct48yqK3N6d6mdeOoIcPhEGEM4jIj8ea2qiVuXbM6uBU9g0MbCHMNY5IH1n/ZsJxE3m5fJd8rXgZcRZm+FcsRzQ0pB8bCkH0vt45ylO3nqadmL2NU4aYgquCi4YcjiGZSKchuCvL0t929W4LESG2Nb1IkVmwZ6xyLnr8ffl9I3qYcpJnZ1mESGs1sSD3Cub0KN9nykO3U6YZmASNa4WJgX2BR4XLjM+X/KXmtgnK0d6d9MIKlyBwNa1ItlkJaDVz43rXfvN+NXu6c7toj1qiSXg2piHNC5j1sd/EynO3U6bsl6uM6YTjgLiAaITZi9CW+aTltRHJ6d3L8wsK/x/8NF9IkFkKaF1zMXtJf4R/4Xt8dI9pbVuFSlo3gSKbDFT2V+BPy9+3oKYWmLKMzoSmgFuA74NHiyiWQKQgtUbIHN0B80oJTB9bNNRHHlm1ZyZzGXtRf6t/J3zfdAtqAFwrSw84QCNgDRn3F+EGzIi4NqeWmBmNGYXTgGmA3YMVi9iV06OZtKjHa9xC8oIIfx6PMw1HY1gKZ5BynHrvfml/BnzgdC9qR1yTS5U44SMZDuX38OHnzGy5Fqhsmd+NyYVpgeCAMYREi+CVs6NRtDrH2tuQ8bQHmh2ZMg1GYFcKZptxuXklfr1+fnuAdPtpQFy6S+s4YyTEDrX44eLxzYi6PKmVmgKP3oZngsCB7YTUi0GW4aNKtP3GaNvs8OIGnxx8MdZEFla4ZEpwcnjzfKl9j3q/c21p6luhSw45xCRgD4j55uMhz9u7qaoQnIGQVojNgwmDD4bHjPyWXqSFtPPGGNtZ8A4GkBs5MGhDiFQUY51uyXZZeyx8OnmccoZoRltFS/84AiXqD1z6/uR10GK9WKzbnVuSMIqZhbqEl4cajhCYKqUCtRzH7NrX7zoFcBrTLsdBuFIiYZdsv3RbeUd6f3cYcUVnU1qnSrs4HCViEDD7J+bs0Ry/Sa70n4yUaozKh9GGhInOj32ZRabCtXrH5Npp72gEPxlNLfU/p1DjXjtqVnL4dv53YHU0b6tlEFnFSUM4EiXGEAD8XueC0wbBeLBYohOXAY9dikyJ1YvikUObr6fFtg3IAtsQ75kDARinK/Q9Wk5bXIpnkW81dFF13nLxbLljflehSJU34CQUEcz8o+g21R3D4rIEpe6Z85FRjSuMh45UlGGdaakLuNbIR9vN7tECtxbmKcg700uLWYdkc2wScUJy+29Qam9hnlU5R7E2iCRLEZH98ekF117FhrX2pxidPZWikGmPmpEil9afcKuUudXJs9uj7g8CZRULKHI5FEl4VjZh/miTbdVuumxUZ9BecFOORZc1CCRpEU7+SOvr2MfHX7grq4+g3JhNlASTCpVLmqCixK1huwvLSNyR7lcBCxQZJvY2IUYjU5pdNmW8aQxrHGn/Y9xb9VChQ0Y0XyNuEQH/pOzo2lXKa7uerk+kzZxQmPuW1JjNnb2lZLBvvXbMBd2a7qoArBITJFg0/UKST7dZHWGPZepmJWVSYJZYME5yQcAyjSJYEaj/BO733ATNpr5MslWoC6GnnEib9pykoSupTrO+vxjO7N2+7goASxH7IZkxqz/HS49VuVwQYXJi2WBRXABVIUsDPwMxkiEmEUEAZu8X39LPDcIztp2slKVNoeifbaHOpeisgbZNwu/P+9797nj/6Q/UH70uMDzHRyhRDVhDXKpdOVz+Vx1Ry0dUPBIvbSDYEMwAx/BE4bvSnMVMuiKxYqpAptikNaZIqvGw+rkaxfrRNeBa7/T+iQ6hHcgrjziVQ4ZMHlMsV5NYS1deU+9MMERoOe0sHx9tEEcBJvJ847zVT8mWvuG1cq95qxOqSasOr0S1t70kyDnUl+HU74L+LQ1lG7woyzQ1P6xH703RUTRTEVJzTnlIUkBBNpQqqR3kD7EBgPO85dHYI80Kw9S6vrT2sJavprAdtNy5tcFpy6vWIuNs8CH+1gsiGZ0l6DCsOqBChkg0TJBNkkxCSb9DNDzfMgooCRw9DwgC0/QB6PjbE9Gmx/i/Q7qwtlq1R7Zvube+8sXnzk7Z1eQi8dT9hwraFm8i6yz/NWU96EJdRq1H0EbPQ8Q+2TdGL08lQhp4DkwCHfZK6i3fHdVlzEjF+r+kvFu7KbwCv9DDasqb0iDcsOb28Zr9QQmSFDQf1ygwMQI4GD1PQI5B0UAePo05RTN4K2UiVBiVDXsCXveT7G3iOtlB0b7K4MXLwpXBRMLRxCTJGs+C1iHfsejo8nb9BghKEvAbsCRGLHoyHjcPOjs7mTozOB00ei54J08fQBaTDJQCkvjZ7rTlad041lbQ7sshyQLIlsjWyq/O/tOa2k3i2Or582f92QYGEKcYeyBFJ9Ms/TCkM7Y0LzQUMnkufSlIIw4cBxR0C5gCufka8f/opOFD2wrWINKgz5zOGM8O0WvUFNng3qLlI+0n9W/9uQXIDVsVOhwxIhMnvCoTLQguly3FK6UoUSTtHqQYqxE3CoUC0fpU80vs6eVf4Nbbb9hD1l7VxdVy11XaVd5R4x/pkO9y9o39qQSSCxAS8xcPHT0hXyRhJjQn1iZNJaYi+h5oGhUVLQ/eCFsC2PuF9ZTvMuqG5bXh194D3ULcl9z+3Wjgv+Po58DsHvLZ98L9qwNnCckOqRPjF1cb7R2UH0Eg8x+vHoEcfhm+FWMRjwxpBxoCzfyq99jye+616qDnUuXb40LjieOs5J7mTumj7IPwzPRc+Q/+vwJJB4kLYQ+yEmcVaxeyGDUZ9BjyFzsW3xPzEJAN0gnYBcIBsP3B+RP2wvLm75Tt2+vF6ljqlep36/Ps/O5+8WX0l/f6+nP+5gE6BVQIHQuBDXEP3hDBERYS3REbEdkPIw4KDKAJ+gYtBFIBf/7I+0P5AvcW9YvzavK78X/xtfFY8mHzxPR09mL4fPqx/O/+IgE7AysF4gZVCHsJTQrHCuoKtgowCmAJTwgHB5YFBwRqAssAOP+9/WT8N/s++n/5/Pi3+LD44/hL+eP5o/qD+3j8e/2B/oH/cwBQARICswIxA4kDvAPKA7YDgwM3A9YCZwLvAXUB/QCPAC0A3f+e/3T/Xv9c/2z/iv+0/+X/FwBIAHMAkgCjAKMAjwBmACkA2v96/wz/lv4b/qP9M/3Q/IL8Tfw2/EH8cfzG/EH94P2f/nr/agBpAW8CcwNqBEsFDgaqBhcHTgdMBwwHjgbUBd8EtwNhAugAV/+5/Rv8i/oW+cv3tPbf9VP1GPUz9ab1cfaQ9/34rvqa/LD+4gAfA1UFcgdlCRoLhQyVDUEOgQ5ODqkNkgwPCyoJ8AZwBL0B6/4P/EH5l/Yn9AbySPD77i7u6e0y7grvbPBR8qz0bveC+tH9QgG8BCMIWgtIDtMQ5xJvFF4VqRVLFUMUlxJREIANOAqRBqYClv5/+oH2vfJR71rs8eks6BvnyeY753PoaOoO7VPwIPRZ+N78jAFABtUKJQ8PE3EWLxkyG2ccwRw7HNUamRiUFdsRig3BCKIDWP4I+d3zAO+Z6szmt+N34R7gvN9U4ObhaeTM5/bryfAi9tj7vwGqB2oN0hK3F+8bWh/YIVUjwiMYI1ohkh7UGjkW5RD+CrEEMf6s91fxZOsD5l/hnt3h2j/ZyNiC2Wvbdt6P4pjnbO3f88D62wH4COEPXRY7HEkhYCVcKCQqpirdKcsnfiQMIJYaRRRHDdIFIP5r9vDu6ueR4RjcrNdx1IPS9NHL0gXVk9hc3T3jCuqR8Zj54AEqCjYSxBmYIHsmPiu4Ls0waDGEMCQuVyo4Je4epheZDwIHJv5H9avsl+RJ3fzW5NErzu/LRcs1zLvOxtI42OreqeY872D4zwFAC2oUBR3LJIEr7jDnNEo3AjgHN140FzBTKjwjBhvxEUEIQv5A9Inqa+Es2Q/STMwUyInFwcTGxZLIE80n06LaS+Ph7Bv3qAE5DHoWHCDRKFUwbDbkOpc9bz5hPXQ6uzVZL30nYh5NFI0JdP5W84zoad4+1VPN6cYywla/br6Dv5DCgMcuzmnW89+E6sn1bAEUDWUYByOmLPY0tDuqQK5DqESMQ2FAPDtENKwrtSGrFuQKuv6J8rPmlNuC0c7IvsGJvFy5ULhyubq8EsJSyUXSptwm6G30HAHSDSsaxiVIMF85wkA0RotJqUqCSR9GlkAQOcUv/SQIGUQME//a8QHl7Nj7zYLEz7wet5+zbrKYsxW3zryXxDfOZdnL5QnzuQByDskbVii1M409kUV/SydPbFA/T6lLw0W4PcUzNShhG6wNgP9J8XbjddaqynPAIbj2sSSuy6z5raaxuLcCwEbKNdZ0457xRAD1DkAdtSrpNn1BHUqFUH9U7FW+VPxQwEo5Qqc3XCu0HRkP/v/U8BPiLtSTx6O8trMTrfCobqecqHKs1rKXu3TGGdMm4S7wvv9cD5Ae4izjOSxFZE5CVY9ZJlv5WRBWh0+NRmg7bC79H4oQiwB88NjgGtK2xBW5k697qAakWaKEo36nLK5at8XCFNDi3rzuKP+mD7cf3S6hPJhIY1K0WVFeFGDtXuNaE1SxSgQ/ZDE7Iv0RKAFA8MXfOdAXwsy1uqsxpGyfk522ns6ivalQsz6/Ks2s3ErthP7UD7UgozAhP75LFVbWXcNismSUY29fYlihTnZCPzRqJG8T0wEf8Nrejc62v8qyL6g3oCSbHpk2mmaekKV9r+G7XsqF2tnr0/3oD4whNjJjQZxOelmmYeBm/WjrZ7FjblxYUrxF+zaHJt4UigIY8BjeFc2VvRCw8qSSnDKX/pQJlkuap6Hjq7O4tMdy2GzqF/3hDzoikzNkQzBRjVwgZaVq8Wzua6RnM2DSVdFIlDmQKEkWSwMs8H3d0su0u6GtCKJEmZqTN5ExkoCWBp6IqLe1LcV01gXpUfzCD8EiuzQkRXpTTl9CaBBuinCab0ZrrmMNWbNLBzyCKqwXFQRX8ArdxMoVun6rcZ9Oll2QzY2zjgqTsZpvpfCyzsKO1Kbng/uKDyEjrzWiRndVumEKax5xxXPqcpFu3GYFXF5OUj5bLAUZ5gSa8L3c7Mm4uKepMJ20k3+NwYqRi+qPq5eaomKwmcDD0lLmsPo8D1sjbTbeRydX0GN2bcxzoXbddYRxuWm2Xs9QcEAXLlMavAXy8JfcSMmctx6oRZt4kQGLFojOiCSN+JQNoA+ukr4W0Qvl2PnaDm8j9jbYSIpYj2WEbxh2GXlveBx0QmwdYQNTYEK1L5MblQZf8ZXc2cjDtuOmspmZj+eI0IVthruKmZLLnfururyIz9Pj/vhjDl4jTDeQSZ1Z9mYycQF4LnueelZ2dW45Y/hUH0QyMcMccAff8bfcncgttvald5gajjCH74NwhLKIk5DXmyeqFbsdzqziI/jaDSsjbjcGSmNaBWiBcoV523xofC94T3AGZapWqkWLMuAdSghw8vzclMjXtVillZf8jN+FdILZggmH5o4ympeopLnWzJnhSvdBDdUiXjc7Stpaumhvc6R6In7MfaZ5znGCZhhYAEe/M+keIQkR82LdvcjDtQelDJc/jPOEYoGpgcSFlY3fmEynari3y5vgdPaZDGAiHTcwSgRbF2n8c1x7/37Ifrl68HKrZz9ZHUjKNNwf9Qm/8+fdFsnutQSl25bii26EuoDhgOOEoozgl0imarfAyrTfpPXlC8shrDblSeFaHGkodK57c39cf2d7tXN/aB5aAEmsNbYgwQp69IrenslYtk2lA5fni1CEeoCCgGiEDYw3l46lpLb0yefe2/QlCxkhDDZcSXJayWjzc5h7fn+Gf7B7GXT9aLNaqEliNnYhhgs/9UrfVMoAt+KlgZdLjJmEpICNgFKE2Ivklh+lG7ZUyTXeG/RcCkwgQDWWSLhZIGhecx17H39Gf5J7HnQlafxaEkrqNhkiQQwL9iTgNsvjt8GmVZgQjUeFOIEBgaSEBIzplvyk0LXjyKDdZ/OMCWUfSTSWR7RYIWdrcjx6V36efg17wXP0aPlaPUpDN54i7wzf9hfhQcwAueinfpkyjlqGNILegVyFkYxGlyalxbWiyCvdv/K2CGceKjNcRmlXzmUacfd4J32MfSF6BHNraKhaKUpsNwQjkA229yDidc1Wulap+pqxj9GHmIMlg3uGf437l52l+rWSyNXcJvLdB1Qd4zHrRNlVKWRtb053kHsRfNB45nGJZwpa00ljN0kjIQ6Q+D3jzs7huwirx5yLkaqJYoXShP+Hzo4KmWOmcLa0yKLcnfECBy0ceDBGQwVUNWJnbUV1k3kwehl3Z3BOZh1ZPUknN2sjoQ5r+W3kS9Cgvf2s456+k+SLkYfnhuiJfJBxmnanKLcKyZHcJvEoBvUa6i5uQfFR818Ia9xyMnfqd/90iG67ZOJXZEi4NmkjDg9E+q3l6dGQvzGvSqFHlnyOI4pfiTSMipIwnNmoIriTyaXcxPBQBa4ZPS1nP55PZl1VaBZwb3Q/dYFyTGzQYllWSEcUNkMjZg8a+/vmpdOuwaKx+6MkmW+RFo07jOKO9pRGnomqXrlRyt/cdvB9BFoYcisyPRBNkVpPZfZsTXEzcqNvsmmPYIJU60U8NfYiqQ/r+1ToftX5w02086ZSnLqUZpB2j/CRvpeyoIas3LpFyz/dPvCvA/sWjCnTOklKeFf6YYBpz23JbmZsvGb4XV9STEQuNIMi1A+1/LfpcNdsxi+3LqrNn1yYEpQPk1uV4Jpzo9CunLxtzMbdH/DpApQVjidMOE1HHVRZXrVl92kCa85obmMOW/BPa0LrMugh6A92/SLredkFyUS6qK2So0+cFZgDlyCZWp6GpmSxnb7KzXTeGPAtAicUeyWiNR9Eg1BwWpphymXiZtxkyV/RVzZNSkBzMSYh4Q8t/pHsltvBy4q9X7Gep5GgbJxOmz2dKqLrqUK038Bdz0vfLPB8AbYSVCPWMsJAsExDVjJdSmFtYpRgz1tGVDRK6T3HLzsgwA/Y/gPuxd2czvzAT7Xtqx2lE6Hsn6+hTKadrWi3X8Mj0UngWvDYAEQRHiHsLzs9pkjUUYJYfFynXfpbhVdtUOtGSjvmLSgfhA91/3bvA+CU0ZjEc7l5sPCpB6bapHGmvqqcsdS6HcYe03DhpPBCANIP2h7nLIw5aUQqTY5TZFeSWBBX7VJKTF1DbTjSK+0dLA8CAOfwTOKk1FnIx71AtQSvQqsUqoGre6/jtYO+F8lL1cDiC/G8/2IOjBzLKbo1/j9ISFpOB1I1U9xRCk7fR40/VjWLKYoctw6AAFTyn+TL1zvMSMI9ule0wbCUr9mwgbRvunPCS8yq1zfkjvFH//cMNRqbJskxaTsyQ+tIaEySTWFM4kgxQ347BTIUJ/8aJg7tALzz+OYD2zvQ8MZqv+G5frZXtXW2zLk+v6HGuM862tXlLvLk/pML2hdaI7strjbuPUZDjkawR6RGd0NCPjI3fi5sJE0Zdw1GARz1VelL3lTUvMvExJ+/dLxYu1K8Vr9MxArLWtP53Jvn7PKU/jcKfBUNIJcp0jGAOHA9fUCSQapAzj0XOa0ywiqXIXQXqgyMAXP2s+ue4YPYp9BFyozFn8KRwWnCHMWUyavPL9fk34bpx/NY/uUIHxO1HF4l2SztMm43Ojo/O3c67De0M/Et1CaVHncVwAu+Ab/3D+765MTcrdXpz6LL+cj+x7bIGcsSz3/UNdv74pbrwPQx/qAHxBBXGRYhyCc6LUUxyzO7NBE01TEcLgQptyJpG1UTuQraAf74Z/Ba6BLhyNqp1dzRfM+YzjPPSNHC1IXZaN885srt1vUg/mgGbw72FcMcpCJtJ/sqNS0MLn0tjytUKOgjbx4WGBARlQngAS76ufK762rl9N+C2zXYI9Za1dzVpNeg2rfexeOj6R/wCPcl/kAFIQyUEmgYcR2KIZUkfiY4J8EmHyViIqEe/RmcFKkOVAjPAU/7AvUb78fpLOVu4abe6Nw+3KvcKN6m4BHkSegu7ZbyVvhB/igE3gk3DwoUNBiXGxoerB9EIOIfiR5JHDQZZxUAESMM+AaoAV78P/d28iXubOpn5yvlxeM/45njzuTR5o/p8ezb8Cv1wPl0/iIDpwfgC60P8hKYFY0XxRg3GeUY1BcPFqYTrxBDDX8JgQVqAVr9b/nI9YDyr+9p7b3rtepX6qLqkesZ7S3vuPGm9N33RPu+/i8CfgWSCFQLrw2UD/YQzhEXEtIRBRG4D/oN2QtpCb8G8QMVAUP+kPsQ+db28fRu81fysvF/8b/xa/J78+b0m/aO+Kv64fwe/1ABZgNSBQMHcAiPCVoKzQroCq0KIQpMCTUI6gZ1BeUDRwKpABj/n/1J/CH7LPpy+fT4tPiy+On4Vvny+bX6lvuN/JH9l/6W/4YAYQEgAr8COgOPA78DygOzA34DMAPNAl0C5QFqAfQAhgAmANf/mv9x/13/Xf9u/43/uP/p/xsATAB2AJQApACiAIwAYgAjANP/cf8D/4v+Ef6Z/Sr9yfx9/Er8NvxE/Hf8z/xN/e79sP6N/38AfwGFAogDfQRdBR0GtQYdB1AHSQcEB4EGwgXJBJwDQwLIADX/lv35+2r6+fix96D20PVK9Rb1OfWz9YX2q/ce+dX6xfze/hEBTwOEBZ4HjAk8C58MqA1LDoEORQ6WDXUM6gr+CL0GOASBAa7+0/sG+WD29vPd8Sfw5e4j7urtP+4i74/wf/Lj9Kz3xvoa/o0BBgVpCJsLgg4EEQ0TiRRrFagVOxUlFGwSGhA+De0JPwZQAj7+KPou9nDyDe8h7MXpDugM58vmTueV6JnqTu2f8Hf0t/hB/fEBpAY0C30PXROyFmIZVBt3HL4cJRyuGmAYSxWFESgNVggzA+b9l/hx853uQuqC5n/jUeEN4L/fbOAT4qnkHehX7DfxmfZV/D4CJwjiDUATGBhBHJgfAiJpI74j/SIpIUseehrOFWwQewooBKX9IvfT8OvqmOUG4Vrds9oq2czYn9mh28Pe8eIN6PDtbvRX+3MCjglwEOEWrxyrIasljig7KqIqvSmRJyokoR8XGrUTrAwvBXv9yfVV7lznE+Gv21vXO9Rp0vjR7dJE1e3Yz93G46XqOPJH+pEC2QrdEl4aICHsJpUr8i7oMGQxYDDgLfYpvSRcHgEX5g5HBmj9jPT56/LjuNyD1ofR7M3Ry0rLXMwDzy3Tu9iF31nn+u8n+ZkCBwwoFbMdZiUCLFExKjVqN/433zYSNKovyCmXIkwaJxFuB2z9bfPA6bHgiNiG0ePLzcdnxcXE8cXiyIbNutNQ2xDktu3694oCGA1PF98gfinmMNw2Lzu8PWs+NT0gOkI1vy7GJpMdbROiCIX9a/Ks55vdiNS7zHPG4sEvv3K+sb/owv7H0M4p18zgbuu/9mYCCg5QGeAjZS2WNTA8/kDXQ6VEXEMGQLg6mzPjKtMgthXjCbT9iPG+5bHautAnyDzBMbwwuVO4o7kYvZvCAcoV05HdJul59SwC3g4rG7ImGTEOOklBkUa5SaZKUEm9RQhAWjjtLggk/xctC/j9w/D34/bXIc3Mw0G8vrZus3CyzLN6t2C9VMUYz2Pa3uYq9N8BlA/eHFUplzRLPiRG40taT2pQCk9CSyxF9jzdMi8nRBqADE/+HPBX4mzVv8muv4e3jbHvrcysL64RslS4y8A1y0TXm+TT8n4BLBBpHscr3DdJQrxK8lC3VO1Vh1SOUB9KakGxNkQqhBzaDbn+k+/h4BPTmMbQuxGzoqy1qG2n1KjirHqza7xxxzjUX+J38QwBphDLHwYu5joGRg9PuFXLWShbwFmeVd5OtEVkOkUtvB45DzT/KO+T3+7QrMM1uOOuAqjHo1aivaPzp9iuObjQw0PRLOAX8IgAAxEFIREwsz1/SRhTMlqTXhhgs15sWmNTzUnzPS4w6SCaEL//2u5u3v3O/cDftACrr6Mnn46d8J5Ho3GqObRVwGfOBd617vb/QhEUIugxQkCyTNVWXF4KY7hkWWP1XqtXtE1aQfwyCSP8EVgAqO5z3UDNjr7QsWqnrp/bmhaZcZrjnkmmbrADvajL7dtU7Vb/ZhH7IoozkUKcT0NaM2IsZwVpsGczY7FbYlGVRKs1GCVcE/8Aku6h3LrLX7wLrySkAZzklvSURJbKmmai3azfuQrJ59n166n+bxG4I/U0n0Q8UmBdtWX2avxss2skZ3Ff1VShRzk4FSe4FLIBl+7422nKcrqQrDChrJhGkyuRbZICl8qeiKnsto7G9deb6vH9XRFNJCs2bEaQVCpg3mhmbpdwXm/DauhiClh6SqI6+ygPFm8Cte5420/Jx7hiqpGesJUFkL6N7o6Nk3mbdaYttDjEGtZJ6S/9MxG5JCo39UeXVp9irGt5cdVzr3INbhJm/FoeTeM8yipdFzQD7O4g22vIX7eCqEecD5Mija+Ky4tvkHaYpaOmsQzCWdT/52f88BD+JPM3O0lRWL1kHm4rdLR2o3X/cO1oqF2IT/o+fiyiGAAEOu/u2r3HO7bwplWazJCgigKICImqjcWVHaFZrwvAs9LB5pj7lxAcJYY4Pkq7WYNmMnB8di95NniWc3RrDGC3UeRAFC7ZGdAEnu/k2kXHWbWtpbuY6I6BiLmFpYZBi2mT3p5IrTm+LdGQ5cb6KRAUJeQ4/krWWvBn5nFpeEZ7Z3rQdaVtJWKoU55Ciy8CG6QFFvD+2gHHu7S6pHqXZI3GhtSDp4Q3iWOR7Jx4q5i8x89w5PL5pw/oJA05e0uiWwRpOXPxefd8M3yqd39v8GNXVSVE3zAaHHgGoPA82/LGX7QWpJOWQYxxhVeCDYOOh7aPSJvqqSq7hM5h4x75FA+YJAM5tksfXL9pLHQTe0B+mX0ief5wa2XEVnhFDzIfHUsHPPGd2xXHRrTAowWWgIuChEOB24FHhmWO9pmgqPO5Z81m4kz4cA4mJMY4r0tNXCBqvHTPeyB/l343eiFylGbqV5RGGTMQHhsI5/Ef3GvHbbS5o9GVIIv6g5eAEYFkhXCN9pidp/O4ccyB4X73vg2VI1g4Z0stXChq63QjfJd/LX/neudyamfKWHhH+jPpHucIoPLA3PHH1bQApPWVIYvZg1WAr4DnhNqMS5jipiy4pcu04Lb2/wzkIro34ErAW9hpuXQRfKV/Wn8ye05z6mdgWSFIsTSpH6wJZfN/3abIe7WTpHGWhIsfhHyAt4DPhKOM9pdwpqG3BMsB4PX1NQwXIu82G0oHWzBpJ3SYe0h/HX8Xe1VzFGitWY1IPDVPIGgKM/Ra3ojJXrZxpUWXRozLhA2BKYEdhcuM95dKplO3kMpp3z71YwsvIfc1GkkEWjFoNXO5eoN+d36Vevxy52etWb1ImTXYIBoLCfVP35XKfLeZpm6YaI3dhQeCBILShVSNUJhvpkO3Ssrv3pL0igouINU030e4WN9m5HF1eVV9aH2teUNyY2diWa1IxzVCIb8L5fVc4MzL1LgIqOqZ545Th2mDR4Pthj6OAZnhpnK3NMqU3vPzrAkWH4oza0YmVzllOHDNd7978XtgeClxhmbJWF5IxDWOIVYMxfZ+4SnNY7q9qbmbwZAriTKF8oRtiIiPCZqgp+K3T8pZ3mTzygjpHRoywURPVUJjMG7EdcR5EnqtdrBvUWXjV85HkDW3Id4Mp/e14qzOJ7y2q9ed9ZJli1+HA4dSijGRaputqJK4nMpA3uXy6AepHIYw5EI2U/1g0Gtbc2V3z3eXdNdtxWOwVv5GKjW/IVQNifj941HQHb7vrUKggJX8jfCJeYmZjDmTIp0HqoK5HMtK3njyBwdZG9Au1UDdUG1eGmmVcKN0J3UecqBr4mEwVe1FkTSjIbcNaflV5RbSQ8BmsPeiYJjwkOGMUYxDj56VMJ+tq7W6z8t53h/yKAb7GfwsmD5JTpNbEmZ0bYJxHnJFbw1pqV9iU5pEwzNiIQYORvq55vnTlsIYs/SlkZs9lDGQio9Lkl+Yk6GhrSi8t8zM3tvxTgWQGAsrMDx6S3NYuWL8aQVut24NbB9mG11JUQZDwjL8ID8OHfsp6PfVFMUCtjWpEZ/hl9yTIJOxlXqbS6Tfr9y90s1F367xewQcFwEpnzl1SBFVE18vZi1q82p6aNhiOlrlTjJBjTFwIGAO7Pug6QzYuMchubes26LWm9+XEZdymeyeVadostC/Ic/l35jxrwOhFeEm6DY9RXBRJVsRYgBm1maNZDpfCFc4TB8/JDC9H2oOs/wf6zjagMpxvHew7aYboDacWZuKnbSir6o6tQPCpNCr4Jvx7gIhFKwkEDTWQZRN8VamXYBhY2JLYElbh1NCScw8hy7jHloObv2h7HXcac3vv2+0QaurpN6g9Z/2oc6mV65TuHTEW9KZ4bjxOQKdEmYiGDFCPoBJfFLyWLFcn122WwdXuU8GRjw6tyziHTAOHf4l7sPeb9CXw5241a+CqdOl4aSzpjirSrKxuyPHRNSu4u/xkAEZEREgBC6HOjlFyk35U5hXjFjRVndSoUuGQm83tCq5HOsNv/6p7x7hj9Nlx/y8pLScrg+rGaq9q+2vhrZTvw3KYNbq40Ly9gCWD7Ed2CqnNsNA4EjATjlSMFOjUZ1NQkfFPmk0gChpG4sNUf8q8YPjxtZWy4nBqbnzs5CwmK8Qseq0B7s0wzDNrNhN5bDybAAXDkgblyemMiI8wUNMSZhMkE0tTH1IoELEOikxHCbzGQ4N0/+m8u/lEdplzz7G4L6DuU+2WbWntiy6yr9Tx4vQKNvX5jvz9P+eDNgYRCSJLlo3cz6gQ7tGr0d1RhtDvT2HNrMtiCNWGHUMQQAc9GHoa92P0xfLRMRIv0i8Wbt+vK2/y8StyxvU092H6OPzjv8sC2YW4yBUKnAy+zjEPadAkkGAQHs9njgSMgoqxyCTFr8LngCJ9dTq0eDP1xDQ0Mk8xXbCkcGQwmvFBso+0N7XquBc6qf0O//ECfMTeB0KJmktXTO6N2E6QDtSOqI3RzNmLS4m2h2sFOwK5wDs9kbtQeQh3CTVfs9Zy9PI/MfZyF/LeM8D1dHbrONV7Ij1/P5nCIIRBRqwIUkony2KMe4zvDTxM5QxvC2JKCUixBqhEv0JHAFD+LXvtueC4E7aS9Wb0VrPls5Sz4XRHNX42fHf1uZx7oX20v4XBxUPjhZKHRUjxSc4K1QtDi5hLVcrASh9I+8dhhd0EPIIOwGM+R/yLevs5IvfMNv81wXWWNX21djX7doZ3zvkKOqv8J73vv7VBbAMFxPcGNId1iHJJJkmOiepJu8kGyJGHpEZIhQlDssHRAHF+n/0o+5d6dTkKeF33s/cPdzA3FPe5+Bj5Kzone0O89P4wP6kBFQKow9qFIUY1RtFHsIfRiDOH2IeDxzqGA4VnBC3C4gGNwHu+9b2FfLP7SXqMOcF5bLjPuOr4/HkBOfR6UDtM/GL9SP62f6EAwQINQz4DzETyRWvF9YYOBnWGLUX4RVsE2oQ9gwsCSsFEwEF/R75fvVA8nnvP+2h66fqV+qw6qzrQO1f7/Px6PQl+I77CP93AsMF0QiKC9wNtw8OEdkRFhLGEe4Qlw/QDagLMgmEBrQD2AAI/lj73fiq9s30U/NF8qnxgPHJ8X7ylvMH9cP2ufjZ+hH9Tv9+AZEDeAUlB4sIpAlnCtMK5wqlChIKNwkcCMwGVQXDAyQChgD3/oH9L/wK+xr6Zfns+LL4tPjw+GH5AfrG+qr7o/yn/az+q/+ZAHIBLwLLAkIDlAPBA8kDrwN4AygDxAJTAtoBYAHqAH4AHgDR/5b/b/9d/17/cP+R/7z/7f8fAFAAeQCWAKQAoQCJAF0AHQDL/2j/+f6B/gf+kP0h/cL8d/xH/Db8R/x9/Nj8Wf39/cL+of+UAJUBmwKdA5EEbgUrBr8GJAdSB0UH+wZzBq8FsQSBAyUCpwAT/3P91/tK+tz4mPeM9sL1Q/UW9UD1wvWb9sf3QPn9+vD8DP9BAX4DsgXJB7IJXAu5DLkNVA6ADjsOgg1YDMUK0QiKBgAERgFx/pb7zPgq9sbztPEI8NDuGe7s7UzuO++08K3yG/Xs9wv7Y/7XAU8FsAjdC7wONREyE6IUdhWlFSoVBxRAEuIP+wyiCe0F+gHn/dL52/Uk8sru6eua6fLnAOfO5mLnuejN6o/t7fDO9Bb5pP1VAgcHkwvUD6kT8haTGXQbhRy6HA4chBolGAEVLRHFDOsHwgJ0/Sf4B/M77uvpO+ZI4y3h/d/D34bgQeLr5HDoueyl8RH30vy8AqMIWA6tE3gYkBzVHyoieiO5I+Ei9SADHh4aYhXyD/cJngMZ/Zn2UfBz6i7lruAX3YfaFtnS2L/Z2dsT31bjg+h17v707fsLAyQK/hBkFyIdCiL0Jb4oUCqcKpspVCfUIzQflxklEw8MjATW/Cb1u+3O5pfgSNsM1wfUUtL/0RLThtVK2UTeUORA6+Dy9vpDA4gLgxP2GqYhXCfqKyovATFdMTkwmi2TKUAkxx1bFjIOiwWq/NHzR+tP4yncDNYs0bDNtstRy4XMTc+W00DZI+AK6Lrw7/ljA84M5RVhHv4lgCyyMWo1hzf3N7M2wzM7Lzsp8CGRGVwQmgaV/Jry+Oj53+fX/9B8y4nHSMXNxB7GNcn7zU/UANzW5Izu2fhtA/YNIhiiISkqdDFJN3c73T1kPgU9yTnHNCIuDCbDHIwStweX/ILxzebP3NTTJcwAxpbBDL95vuO/QsN/yHPP69em4VrstvdfA/8OORq2JCIuMzapPE5B/UOeRClDpz8yOvAyGSrvH8AU4Qiv/IjwyuTR2fTPgse9wN27CblauNi5er0nw7PK6NN/3ibqhvY9A+oPKRycJ+gxujrOQelG4kmgShlJWEV3P6E3ES4RI/MWFgrd/K3v7eID10rMGMO3u2G2QrN2sgS04rf3vRPG+89j2/PnTPUFA7UQ8R1SKnY1Bj+0RkRMiE9lUNFO1kqRRDA88jEmJiUZVAsf/fHuOuFl1NjI7L7ytiixvq3RrGqugLL0uJfBKMxW2MPlCfS5AmERkB/WLMw4EkNYS1tR6lToVUtUHFB7SZhAtzUrKVMbmgx0/VTusN/70aDFALtxsjWsgKhwpxGpVq0jtEO9csha1ZnjwPJaAu8RBSEnL+Y73Ua1TylWA1olW4NZJ1UxTtZEXDkcLHkd5g3c/dXtUN7Ez6TCWLc4ro2njaNZovyjbKiIrxy53sR00nfhcvHpAV4SUSJEMcI+Y0rJU6pa0F4XYHNe8FmvUuZI3jz2LpYfNg9V/nXtGt3Czee/9bNKqjOj6J6OnTCfxKMpqya1b8Gnz2DfIfBoAbASciMqM2BBok2QV9xeS2O5ZBljdV7wVsJMOUC2MaYhhxDe/jLtDtz2y2q92rCqpiqfl5oVmbKaZJ8Ip2SxKb71zFfd0O7YAOQSaCTbNL1DmFAIW7ticmcIaW9nsGLwWmhQakNYNKcj2BF2/w3tLdthyi67Ca5ao3abm5bxlIaWT5sqo9utD7tiyl7bgO05APwSNCVVNtdFQ1MvXkRmQmsAbXFrnmarXtRTbEbaNpclJxMZAAPtddoDyTS5hKtdoBmY+ZIlka6SiZeTn46qJbjyx3nZM+yQ//gS1iWXN7BHolUBYXRptm6fcB1vO2odYgFXPUk5OXIncRTJABTt6Nndx363TKm2nRaVs4+1jS+PFpRGnICnbrWmxanX7Orb/toSTyaiOERJs1d+Y0lszXHfc25yg21DZe5Z2UtyOzYptBWCAT7thNntxgu2Yqdkm3CSy4ykigyM+ZBHmbak7rKBw/HVreke/qMSnyZ2OZRKdVmkZcFuhHTAdmJ1dHAaaJVcPU6BPeEq7xZEAoLtSNk1xt20yKVrmSeQRYr0h0eJNY6ZljGiprCIwVTUeOhZ/VQSxyYSOqBL6FpxZ9pw2XY+efd3CnOfavZeZ1BkP3AsHhgLA9ztNNm0xfOzfaTKlz2OIoioheSGzYs+lPafm668v9TST+eP/O4RyCZ5OmhMClzlaJNyynhYeyl6RHXPbAxhVFIZQeEtQBnXA03uRtloxU6zg6ODlrSMY4bBg+SEw4k5kgaezqwfvnPRNObC+3MRoiapOuxM3Fz+aexzVnoMffd7HneobtViAFSdQjEvUxqlBNHuftlTxeyy2aKWlY2LCoVBgkmDGYiNkGScQqu1vDTQKuXz+uUQWCalOixNXl2+auJ0fHtYfl99mHgncE9ka1XtQ14wVBt0BWjv2tlxxc2yfqIElceKGIQqgRSC0YY7jxKb+ql/uxrPMuQl+kYQ6yVsOilNkV0ja3d1O3w7f19+rnlLcXllkVYIRWUxQhxCBhDwWNrDxfGydKLMlGSKjIN7gEiB7IVFjhKa9qh/uiXOT+NZ+ZYPXCUBOuVMdF0va6l1kny1f/d+YHoTck9mcVfrRUYyGh0MB8fw99pGxlWzt6LtlGKKaYM2gOSAbYWtjWWZOqi4uVnNguKR+NgOrSRmOWBMCl3hanp1gnzFfyd/rXp8ctJmCViVRv4y2x3RB4vxttv6xvqzSaNolcOKrINbgOmAUoVzjQ2ZxqcrubbMzuHP9w4O4COaOJxLUlw6aul0DHxrf+1+lXqGcv9mWFgFR4szgx6PCFvykdzdx920JqQ6loOLVoTqgFiBnYWZjQuZnKfauD/MNOEW9zoN9iKhN5tKT1s9afhzLnuofkl+F3oxctVmXVg4R+wzDx9ECTTzid3syP21TqVil6SMZoXhgTCCT4YejmCZvafGuPXLteBm9l0M8iF9Nl5JAlrqZ6ly7Hl8fT19Mnl8cVVmFlgtRx80fx/uCRT0md4lyle3v6bfmCKO24ZBg3CDZocDjwyaKqjvuNnLVODC9XoL1iAuNedHblhDZvxwRnjoe8l76XdncH5lg1flRiM00B+LCvr0wd+Iy+m4d6ivmv2Ps4gIhRiF4ohHkA6b4qhXue3LE+Ar9ZIKox+5MzlGk1ZKZPNuPXbvee55O3bzbk9kpFZdRvczAiAbC+P1/+AQzbK6c6rQnDKS7IozhyaHworrkWic6Kn/uTLM8d+k9KgJXB4eMlZEdlQCYpJs1HORd613KXQgbcpieVWVRZkzEyCaC872T+K8zq+8saw+n7+UhI3DiZiJBY3tkxmeOavnuqjM8d8t9L0IAx1hMEFCGFJuX9ppDnHRdAl1tXHvau9gAlSNRAozAiAIDLj3sOOK0Ny+Lq/4oaGXeJCzjG6MqY9Llh+g16wPvFDNFODJ89MHmhuDLvw/fU+PXM5m7G2xcQNy4W5jaL5ePlJFQ0kyzR9iDKD4H+V30jjB57H7pNaaxpMCkKOPrZIFmXqiwK53vSvOW+B48+0GJBqILIo9p0xqWXJjcmo0bp5urmt8ZTlcL1C9QVQxdB+oDIT5m+aA1L/D2bRCqFmea5eskzeTDpYZnCil9LAevznPxuA98wwGoxhyKu86mUkCVshfo2Zeat1qIGg8YmJZ1032Py0w9h7ZDGL6Ieii1m7GAbjLqymiY5uulyWXyZmEnyiocbMFwXrQV+EY8zIFGhdEKCw4WEZZUtVbgmIwZsNmOWSnXjpWNUvwPdIuUx7yDDj7runb2ELJXLuSr0Cmq58GnGqb251Eo3irNrYqw+7RDeIK82AEihUBJkc15UJ0TptXFF6wYVNi/F++WsNSTEisO0UtiR3zDAX8QOso2zjM5b6Ts5uqPqSuoASgQqJVpxWvQrmNxZTT6uIW85kD9hOrI0EyRj9XSiBTXVnhXJFdbFuEVgBPHkUrOYYrmhzbDMb81eyG3U3PmcLLtzavGamjpe2k+aa2q/2yk7wsyGzV7eM6894CYBJGIR4vfjsGRmZOYFTGV4JYjlb9UfRKrEFvNpUphBupDHv9a+7y333SdcY1vAy0N67hqiKq/qtjsC23JsAFy3bXFuV58zACyhDUHuIrkDeEQXRJIk9mUihTZVEsTaFG+T15M3MnSBpdDCH+APBp4sTVdMrNwBq5k7NjsJ+vS7FXtaK7+MMYzrDZZebT85IBNw9YHJAogTPXPExEqEnETIlN9EsVSAtCBzpLMCIl5hj1C7j+kfHp5CDZks6OxVq+Krkktl+13baQulnACMhh0Rjc2udJ9AMBqA3VGSslVS8DOPU+90PlRqpHQka8QjU92jXnLKIiXhdyCz3/HPNu543cy9J1ysfD9L4gvF27rrwIwE3FUszf1K/edOna9IYAIQxOF7ghDysMM3M5FD7OQI9BUkAlPSI4dDFPKfYfsRXTCrH/oPT26QbgHNd7z13J78RQwpTBu8K8xXzK09CP2HHhMuuH9RwAogrFFDketCb3LcozBDiFOj07KjpVN9gy2CyHJR4d4RMYChEAGvZ/7IrjgNue1BfPE8uxyP7H/siny+HPiNVv3F7kFe1Q9sb/LQk+ErIaSCLIKAEuzDEPNLs0zTNQMVotCyiQIR0a7RFBCV4AifcF7xTn89/X2e/UXdE7z5fOcs/E0XjVbdp84HPnGu8194T/xQe6DyYX0B2FIxsocitxLQ0uQy0cK6wnECNuHfUW1w9OCJYA6viF8aDqcOQj3+Daxtfq1VjVEtYP2Dzbft+y5K7qQPE1+Fb/awY9DZkTThkyHh8i+ySyJjknjya9JNMh6h0kGacToQ1AB7gAPfr+8yzu9Oh85OXgSd643D3c2NyB3ijht+QP6QzuhvNR+T//IAXKCg8QyRTTGBIcbh7XH0UguR85HtMbnhi1FDgQSwsXBsUAf/ts9rTxe+3e6fnm4OSf4z/jvuMW5TnnFeqP7Yzx6/WH+j3/5gNhCIoMQxBvE/kVzxflGDcZxRiVF7MVMRMkEKgM2AjUBLsAsPzO+DX1//FE7xftheua6ljqvurI62ntku8v8iv1bPjX+1L/vwIGBg4JwAsJDtkPJBHkERUSuRHWEHYPpQ12C/sISQZ3A5sAzf0h+6v4f/ap9DjzNPKh8YLx1PGR8rLzKvXr9uX4CPtB/X3/qwG8A54FRQemCLcJdArYCuQKnAoDCiEJAQiuBjQFoQMCAmQA1/5j/RT89PoJ+lj55fiw+Lf4+Pht+RD62Pq++7j8vP3C/r//rACDAT0C1gJLA5oDwwPIA6wDcgMgA7sCSQLQAVYB4QB1ABcAy/+S/23/XP9f/3L/lP/A//L/JABUAHwAmAClAJ8AhgBZABcAxP9g/+/+d/79/Yb9Gf27/HL8Rfw2/Er8g/zh/GX9Df7T/rT/qQCrAbECsgOkBH8FOQbKBioHUwdBB/IGZQacBZoEZQMGAoYA8P5R/bX7Kvq/+ID3efa09Tz1FvVH9dD1sfbk92P5JPsc/Tv/cQGuA+AF9AfYCX0L0gzKDVwOfw4wDm0NOwyfCqMIVgbHAwoBNP5a+5L49PWW843x6e+87hDu7u1b7lXv2fDd8lT1LPhR+6z+IQKZBfYIHQz1DmQRVxO6FIEVoRUZFecTExKpD7gMVgmbBaQBj/17+Yn12PGH7rLrcOnW5/Tm0+Z3597oAevR7TvxJvV1+Qf+ugJqB/ELKxD1EzEXwxmTG5IctBz2G1oa6he1FNQQYgx/B1ICAv24953y2u2W6fTlEuMK4e7fyt+h4HHiLuXE6BztFPKJ90/9OwMgCc4OGRTWGN4cECBQIoojsiPCIsAguR3BGfQUdw9zCRQDjvwQ9s/v/OnG5Fjg1txe2gXZ2tjg2RPcZN+84/vo++6P9YT8pAO5CowR5heUHWgiOybsKGMqkyp3KRUnfCPGHhUZkxJzC+kDMfyF9CLtQuYc4OLav9bV0z7SCNI508nVqdm73tzk3euJ86b79QM2DCgUjRsqIsknPCxgLxcxUzEPMFItLSnAIzIdsxV9Dc8E7PsX85fqruKb25jV1NB3zZ7LW8uxzJrPAtTI2cLgveh68bj6LgSUDaEWDR+VJv0sETKnNaE37TeFNnIzyS6rKEch0xiRD8YFv/vI8THoQ99H13zQGMtIxyzF18RPxovJdM7m1LLcneVj77n5TwTUDvUYYiLRKgAysze8O/o9WT7SPG85STSDLVEl8RuqEcsGqfuY8PDlBNwj05PLkMVNwe2+g74YwKDDA8ka0K/YguJH7a34WQT0DyIbiiXdLs42Hj2bQR9Ek0TyQkY/qDlCMkwpCR/IE98HqvuI79fj89gxz+DGQsCMu+W4ZbgRuuC9tsNpy73Ubt8p65P3TQT1ECcdhCizMmM7T0I+RwhKlUrfSO9E4j7lNjQtGCLnFf4IwvuX7ubhEdZ2y2jCMLsIthqzgLJAtE+4kb7WxuHQZdwK6W/2KwTVEQMfTStTNr0/QEehTLNPW1CTTmZK8kNmOwUxGyUFGCgK7vvG7R7gYdPzxy6+YLbHsJKt2qyprvOymLlnwh3Nadnt5kD18wOWErYg5C25OddD70u/URlV31ULVKZP00jDP7o0DiggGloLMPwV7YHe5NCrxDW61LHNq0+oeadSqc+t0LQfvnbJf9bV5Ar0qAM3Ez4iRjDiPK9HV1CVVjZaHVtAWatUgE31Q1I47yo1HJMMhPyE7A7dnc6gwX+2ka0dp1ejYKI/pOqoPrADuu/FqNPE4s/ySgO5E5sjczLOP0JLdVQeWwdfEGAvXnBZ9lH6R8c7ui1BHtEN7PwR7Mfbi8zUvg+zmKm7oq6elJ12n0ek5asWto3C6dC94I/x2gIcFM0kajR6Qo5OR1hXX4djtGTTYvBdMFbNSxY/bDBCIBIPZP2+66var8pJvOiv7qWrnliaGZn5muufy6deslK/Rc7D3k3wWgJhFNMlKTbkRJBRyFs9Y7NnBWkoZydiKVpqTztCAjM1IlQQ6/2I67rZDMkAugytlqLwmliW85TNltmb86PdrkO8vsvY3AzvywGIFK4msTcMR0ZU+F7NZodrAG0qaxJm313NUjNFeTUXJJURgf5w6/XYoMf6t3yqkJ+Ml7GSJZH2kheYYaCXq2K5WMn+2sztLwGSFF4nADnwSK9W02EEagBvoHDVbqxpTGH0VftHzTfnJdISJP9z61rYbcY4tjqo35yDlGaPs413j6aUGZ2QqLS2Fsc52ZHshwCBFOMnFzqPSspYWGTfbBty43MncvNsb2TbWJBK/TmhJwoU0v+S6+rXcsW7tEemhprWkXuMn4pTjIqRHZrLpTq0+sSL113r1f9VFD4o9jrpS5VahWZdb9d0xnYcdeNvQ2d+W+5MBDxDKTsViADL66TXsMSDs6SkhZiHj/CJ7YeOiceOcpdLo/ixCMP21TDqGv8PFHAonDv+TA9cWWh8cTB3R3mxd3hyxWnaXRJP4T3KKmIWRgEc7IfXJsSRslKj3paYjcmHnoUph1+MGZUTofKvQsF91A/pWP6yE3koCjzOTTld02k7cyV5ZHvkebJ09GvtX/tQkD80LH0XCwKF7JHX08PksVGikZUKjAaGtIMnhVWKFZMmnyiuqr8i0/vnkv0/E1soQjxYThJe82qYdLV6Gn20e412zG21YaVSEEF/LYoY0wID7cLXt8N8saGhoJTeiqqEMoKLg6qIaZGFnZ+sQ77n0fXmyPy2EhcoQzyeTplet2uTdd57aX4dfQd4S28uYw1UXkKpLocZnQOV7RnY0MNYsUKhCZQVirSDF4FUgmGHF5AznFirD73P0AHm/fsbEq4nDzygTtBeIWwrdqB8Tn8gfh55cHBXZDNVd0OvL3MaaAQ67pTYHsR4sTOhzZOuiSaDZoCFgXuGII8zm1SqELzczx/lNPtuESInqDtfTrZeL2xgdvt8y3+7ftN5OHEvZRNWW0SPMEobMAXv7jHZn8TasXSh65Oqif+CH4AfgfmFho6EmpepSLsPz1LkbPqxEHUmDjvcTU5e5Gszdu183X/tfiJ6pHGzZa1WBkVIMQsc9gWz7+7ZUsV+sgOiZJQIikCDQYAigdyFSo4qmiGpubprzp3jqvnmD6clQzoZTZhdP2uldXl8hn+1fg16sXHjZf9WeEXXMbUctQaE8MvaNMZgs+CiNZXHiuiDzYCOgSSGbI4lmvSoZbrxzQDj7vgQD7wkSTkXTJVcQmq1dJ57xX4VfpJ5X3G+ZQdXr0U8MkUdbQdf8cTbRceBtAmkXZbmi/aEwoFjgtKG7Y51mhCpTLqizX3iOvgwDrUjIjjYSkdb72hnc116nH0MfbF4rnBCZcZWqkV0MrodHAhE8tncgsjdtXul2pdkjWqGIIOgg+WHzo8cm3epcLqBzRfikfdHDZQi0DZfSbFZR2e6cbd4C3ybe2x3nm9wZDlWZ0V/MhIewAgv8wbe6clztzWnrJk/j0CI5IREhV2JDZEZnCqq0bqOzc7h8/ZZDFshVTWtR9NXTWWxb692E3rDecJ1MG5IY2FV50RaMkseVwkg9Erfd8tBuTWpz5t1kXmKDodPhzmLq5JsnSercbvKzaThY/ZnCw0gtDPERbJVAmNObUd0t3eGd7RzY2zKYT5UKEQGMmUe3wkT9aLgKs1Du3erQJ4ElBGNnIm/iXeNp5QVn3CsT7w2zprh4/VyCqse7zGoQ09TamCUaoBx+XTldEVxOWr2X89SKkOBMV8eVwoI9g3iAc94vfqt/qDplgaQi4yRjBaQ/5YToQWubb3UzrLhc/V+CTgdCDBcQa1Qh12GZ11u2nHicXZus2fOXRVR7UHLMDYevgr89ofj99Dcv7qwBqQgmlWT2I/DjxWTspllo+Ovyb6jz+zhFvWLCLcbAi7hPtBNXFomZOJqXm6Abklr02RSWxFPcUDjL+odEQvt9w/lC9NtwrWzU6eonfyWgpNTk3CWvpwKpgyyZcCj0EnizfSdByka4Ss7PLpK7VZ4YBFniGrDasFnnGGFWMRMtj7KLnodUAvZ+KLmOtUnxea246p7ofaahJc+lyWaIaAAqX60PsLW0cvimfS0BpEYpiltOW5HPVN/XO9iW2arZt9jDl5nVS9Kvjx+LecceQu++T7ogNcHyEq6sq6YpUCf25uBmzKe2KNFrDa3VcQ603Hje/TSBfIWVCd7NvFDUE9AWH5e22E+YqhfLVr7UVNHiDoBLC4ciwuc+uDp3NkLy969vLL5qdejg6AXoJOi4afXrzW6qcbQ1DzkdPT5BE0V7yRoM0dAKku+U8NZC11/XR5b/FVETjJEFzhSKlAbhgtv+4frStwuzp/B/baarrWoeaX+pESnOay0s3i9OMmX1i3lh/QsBKUTeSI2MHI8z0b+TsJU8FdyWEZWflFDSs5AazVzKE0aZws2/C/tx95t0YfFcrt4s9etuKoxqkOs3bDYt/zAAcyO2EPmsvRrA/0R9h/qLHY4QkIESoBPj1IbUyJRtkz8RSo9hjJkJiUZLwvx/NfuUeHF1JTJFcCOuDizO7Crr4qxyLVBvMDEAs+12n7n9/S3AlUQZx2HKVk0ij3URAFK60x+TbhLqUdyQUc5aS8mJNcX3Aqd/X3w4+My2MHN4sTWvdS4/rVptRa397rrwMDIOdIK3d7oV/UTArIO0BoRJh0wqTh0P0tEC0ehRwtGWUKpPCo1Fyy6IWUWbwo4/h7yfeax2wvS1clNw6S++7tlu+K8ZsDSxfvMpdWM32Lq0fWAARUNNRiLIscrpTPnOWE+8kCIQSFAzDykN9QwkygjH84U5wnD/rfzGuk932zW6c7tyKXELsKawerCEcb0ymzRQtk64grsZ/b+AH8LlxX4Hlwngi41NEo4pjo4O/45BTdmMkgs3SRgHBQTRAk8/0n1uOvV4uHaGtSyztDKkcgDyCfJ8stM0BDWD90R5dbtGPePAPMJ+RJdG94iRSlgLgwyLTS3NKczCjH1LIwn+iB1GTgRhQih/8/2Ve5z5mbfYtmV1CHRH8+bzpbPBtLW1eTaCOEQ6MPv5fc0AHIIXxC8F1Me8iNvKKorjC0KLiIt3ypUJ6Ei6xxiFjoPqwfy/0n47PAV6vbjvt6S2pLX0dVb1TDWR9iM2+TfK+U169HxzPjv/wAHyg0aFL8Zjx5nIislySY3J3QmiSSJIYwdtRgrExsNtgYtALT5ffO37Y3oJ+Sk4B3eo9w/3PHcsN5s4Q3ldOl97v/zz/m9/5wFPgt6ECYVIRlNHJUe6h9DIKIfDh6XG1EYWhTSD94KpgVTABD7BPZV8SftmenF5r3kj+NB49LjPOVv51nq4O3m8Uv26/qi/0gEvQjeDIwQrBMnFu0X9Bg1GbMYcxeDFfUS3g9ZDIQIfQRkAFv8fvjs9MDxEO/v7Gvrjupa6s/q5euS7cXvbPJu9bT4Ifyc/wcDSgZLCfULNA75DzkR7RETEqsRvRBTD3oNRAvDCA4GOgNeAJP96vp6+FT2h/Qe8yPymvGE8eDxpvLO8031E/cR+Tf7cP2t/9kB5gPEBWUHwAjKCX8K3AriCpIK8wkMCecHkAYTBX8D3wFCALf+Rv36+976+PlM+d74rvi6+AD5efkf+uv60vvO/NL91/7U/78AlAFLAuECUwOeA8UDxwOoA2wDGQOyAj8CxgFMAdcAbQAQAMb/jv9r/1z/YP91/5f/xP/2/ygAVwB/AJoApQCeAIMAVAARALz/V//l/m3+8/18/RD9tPxt/EL8NvxN/In86/xy/Rz+5f7I/74AwQHGAscDuASQBUcG1AYvB1QHPQfpBlcGiAWCBEoD5wFkAM7+Lv2T+wv6ovhn92X2p/U29Rf1T/Xg9cf2AfiG+Uz7SP1p/6AB3QMNBh4I/gmcC+oM2g1jDn0OJA5YDRwMeAp1CCIGjgPOAPf9HftY+L/1Z/Nl8cvvqO4I7vLtau5x7//wDfON9Wz4l/v1/msC4gU8CV0MLQ+TEXoT0RSKFZ0VBRXGE+URbw90DAkJSAVOATj9Jfk49Y7xRu5860fpvOfq5tnmjucF6TfrFO6K8X711Plr/h8DzAdODIAQQBRvF/EZsRudHK0c3BsuGqwXaRR6EP0LEwfiAZH8SPcz8nrtQumv5d/i6eDi39Lfv+Cj4nLlGumA7YXyAfjN/boDnAlED4QUNBkrHUogdSKYI6gjoiKJIG0dYhmGFPwO7giKAgL8h/VO74bpYOQE4JfcNtr22OTYBNpP3LffI+R06YPvIPYb/TwETgsZEmYYBB7EIn8mFyl0KogqUSnUJiIjVR6RGAES1QpFA4z74/OJ7Lflo99/2nXWptMs0hTSYtMQ1graNN9q5XvsM/RX/KYE4wzMFCMcrCI0KI0ski8rMUcx4y8HLcYoPyOaHAoVyAwSBC77XvLn6Q7iENsl1X7QQM2Jy2jL4Mzqz3DUUtpk4XDpO/KA+/gEWg5cF7cfKSd3LWwy4TW4N983UzYdM1QuGSicIBUYxA7xBOn69/Br54/eqtb6z7fKCscTxeXEg8bjye/OgNVm3WbmO/Ca+jEFsQ/GGSEjeCuIMho4/jsVPks+nDwSOccz4SyUJB4bxxDfBbv6sO8U5TvbdNICyyTFCMHQvpK+UMABxIvJw9B22WDjNu6k+VMF6BAIHF0mlC9lN5A95EE9RIVEt0LgPhs5kjF9KCIezxLcBqX6ie7l4hbYcc5Cxsq/P7vFuHO4TrpJvknEIcyV1V/gLOyh+F0F/xEjHmopfDMJPMxCj0cqSodKoEiCREo+JjZULB0h2RTlB6f6gu3g4CLVpcq7wa66tLX3so6ygLTAuC6/nMfJ0WndIuqS91AF9RITIEYsLDdxQMlH+UzYT01QUU7ySU9DmjoUMA4k4xb6CL76newE31/SEcdzvdK1a7Bqreis7a5qsz+6OcMVzn/aGOh49i4FyhPaIe8uojqYRIJMH1JDVdJVxlMsTyZI6T67M/Am6xgYCuv61+tT3dHPucNsuTyxaasjqIanmKlNroG1/r59yqXXEuZV9fYEfxR1I2Mx3D1+SPRQ/FZlWhBb+VgrVMtMEENEN8Ep7ho/Cy37M+vO23jNn8Cqte6ssqYno2yiiKRtqfew7boEx9/UE+Qs9KsEExXjJKAz1kAdTB1VjVs6XwVg5V3qWDlRCkesOn0s6hxrDIL7r+p22lbLxb0tsuyoSaJ6np+dwJ/PpKesC7euwy7SHOL98k0EiBUmJqc1kEN1T/hYzV++Y6pkiGJmXWtV00ruPSEv2x6cDen7SupJ2WvJLLv7rjilMZ4fmiKZRJt3oJOoXLN/wJfPMeDL8d0D3RU8J3U3CEaDUoNcumPuZ/1o22aZYV5ZZ04JQaoxwCDODmH8BepJ2LnH1bgTrNahb5oalvqUGpdpnMKk5K96vR3NU96Y8F0DExYmKAs5PEhEVbxfUWfGa/ls3WqBZQ1dw1H3QxU0lSIBEOj83ul210DGw7Z4qceeBZdvkiuRQ5OpmDWhpqyjusLKhtxm788CKxbkKGc6LEq4V6BijmpEb5twiG4YaXZg41S2Rl82WSQyEX791OnO1gHF9rQspw+c9ZMgj7eNxI87lfGdpan9t4rIzNo37jMCJhZ1KYk71kvcWS1lcG1kcuBz2XFdbJRjw1dDSYU4CSZfEiD+5+lS1vvDb7Mwpa6ZQpExjKGKoIwhkvma5qaKtXfGKNkN7YsBBRbbKXM8Ok2wW2Fn9G8jdcZ2z3RLb2VmYVqaS4Q6oieFE8z+FeoC1i7DLrKFo6aX7o6iieyH2olfj1GYaqRPs4zEm9fq69oAyhUXKiI9WE4yXTxpGHKAd0l5ZXfgceVouVy6TVo8ISmkFIL/Xerb1ZvCM7EroviV+ox3h5qFdYf4jPqVNqJNscvCKdbR6iAAdRUpKpk9ME9jXr1q3HN5eWh7mXkZdBJryV6eTwQ+hSq4FT4Avure1UHCf7AjoaaUZ4uwha6DcoXtiveTSqCHrzjB1NTC6WL/CRUSKtg9wU9CX+FrPnUNeyF9anv0delsj2BEUYA/zCvAFgABNusJ1h7CEbBuoK6TN4pQhCmC04NCiUySq54ArtS/ndPB6J3+hhTTKd89DFDOX6tsPXY6fHJ+1nxvd2huB2KrUstA8iy5F8YBw+ta1jLC6K8KoBOTaYlXgwyBm4L4h/mQWp26rKK+iNLQ59b97xNvKa89ElAJYBht2Hb/fFt/2n2IeI5vMWPQU+NB9i2iGI0CZOzR1nzCBLD3n9SS/4jFgliAyoEQhwGQWZy3q6S9ltHw5g/9RBPmKEs91U/0XyptEXdcfdp/d34/eVhwCWSxVMdC1i54GVUDGO1s1/vCY7A2oO+S+Iicgg6AYYGMhmWPqZv4qty8ydAk5kj8iBI6KLI8VE+NX+Fs53ZSfe9/rH6RecZwj2RMVXRDjy86GhoE2+0p2K3DBbHDoGWTU4nbgi6AYYFshiePTZuAqku8I9Bt5YX7vRFsJ+g7kk7YXj5sWnbffJt/d35+edZwwmShVehDITDmGtsEre4G2Y/E6LGfoTWUEYqAg7eAyoGxhkaPRJtQqvO7pc/N5Mb65RCAJu06j03WXUJrbHUGfNx+2n0GeYhwoGStVSNEiTB5G5YFi+8C2qLFCbPIol2VL4uNhKqBnIJch8OPkJtoqta7U89G5A/6ARB2JcQ5T0yHXO9pHnTHerV91HwpeNtvKmRxVSNExzDzG0oGdPAa2+LGaLQ8pNuWrIz/hQWD1oNriJ+QMpzJqvS7K8/a42D5FA9QJG4400rvWkZocnIjeSZ8ZnvodtBuXWPqVOdD2DBRHPQGZvFM3E3IAbb4pa6YiI7Vh8iEeIXeidmRKZ11q068Mc+K47v4Hw4RI+42HEkPWUpmaHAcdzF6kXlCdWdtPGIZVG5DuzCTHJIHXfKX3eHJ1Lf8p9Oav5ANivCGf4e2i3GTdZ5rrOa8Zc9Y4yP4JQ28IUc1L0fpVv1jBG6zdNd3V3c6c6BrxWD+UrdCcDC2HCQIWvP33pvL3LlDqkidT5OljHuJ64nvjWeVF6Csrbu9yM9E45n3JwxRIHozDEWBVGFhSGvscRp1unTQcHxp+V6YUcNB9S+6HKcIWPRr4HrNGLzLrAqgNpaaj2mMuoyJkLiXDaI3r86+WtBQ4x73KAvUHooxuELZUXleN2jJbv1xu3EGbv5m2VzoT5FASy+dHBkJWPXw4XrPhL6SrxajcJnqkrWP6Y+Ck2OaVqQLsR/AHdF+47T2KQpIHXovNED0Tklb1GRNa4JuXG7faiZkZ1rvTSE/cC5eHHoJVfaE45nRH8GUsmmm+5ySll6TdpPYlmid8aYps67BENLO4132LQmtG00thD3WS9RXImF7Z61qompcZ/Zgo1etS3M9ZC39G8cJUPcl5dTT5MPOtQCq06COml+XXZeHmsKg3amOtXrDNNNA5Br2NQgHGgUrqzqBSB1UJV1WY4BmjmaAY3BdkFQkSYk7KCx5GwAKRfjP5ijW0MY8udat9aTanrabnJuOnnGkF606uIPFidTW5Oz1QwdYGKUorDf6RChQ4FjiXgBiJGJPX5hZL1FVRmI5uirRGiMKM/mC6JPY4MncvOmxW6l0o16gMKDponKonrAsu8jHDtaQ5dT1WQajFjEmizREQflLWFQkWjFdaF3LWnBVg01CQwA3HSkFGi8KGPo66hDbEc2owDO2A65WqFSlFKWUp8Gsb7RgvkfKxNdu5tP1eQXpFKsjSzFiPZNHkU8gVRVYXlj5VftQjkntP2Q0TycVGSQK8/r0657dX9CdxLK66LJ8rZOqQ6qNrFuxh7jWwf/Mqdlx5+v1pQQuExUh7y1aOf1CkErZT7NSCVPbUD1MVEVYPJAxUyUAGAAKwfuw7TrgyNO4yGC/Brjhshewu6/OsT2247yKxe7PvduY6Bv23QNzEXQefCouNTk+WEVWSg9Nb013SzlH1kCEOIUuKCPHFsMJgvxp7+DiRtf0zDnEV72BuNu1drVUt2K7gMF7yRTT/t3j6WX2IwO7D8ob9CbjMEw57j+aRCxHlEfRRfNBGjx3NEYr0SBqFWwJNP0g8Y3l1tpN0TnJ18JXvtq7cLsavcjAW8amzW3Wa+BR68r2eQIIDhoZWyN9LDs0WTqrPhJBfUHtP288IjcxMNQnTh7qE/oI1f3Q8j/odt6+1VrOgchexA/Co8Ebw2nGb8sG0vfZBOPj7Ej34AFbDGcWth8BKAovnDSOOMQ6LzvPObI28jG2KzIkoRtHEm8IZf549PPqIeJE2pnTUM6QynXIC8hTyUDMutCa1rHdxeWX7uH3WgG4CrMTBhxyI78pvS5IMkg0sDR+M8EwjiwKJ2IgyxiCEMgH4/4W9qbt1OXb3u/YPtTo0AXPoc68z0rSNtZd25bhruht8JX45gAgCQIRURjVHl0kwSjgK6QtBC7/LJ8q+yYwImcczxWcDgcHTf+o91Xwiul941reRtpg17vVYdVR1oLY39tM4KXlvetk8mT5hgCUB1YOmhQvGuserSJZJd4mMidWJlMkPSEtHUUYrxKWDCsGov8t+f3yQu0n6NPjZODz3ZDcRNwM3eHeseFk5drp7+559E36OwAXBrML4xCCFW0Zhxy7HvsfPyCJH+IdWBsDGP8TbA9xCjUF4/+i+pz19vDV7Fbpkeab5IDjRePo42Plp+ef6jHuQfKs9k/7BQCqBBkJMg3UEOcTVBYLGAEZMhmfGFAXUhW3EpcPCgwvCCYEDQAG/C/4pfSC8d3uyexT64PqXerg6gPsvO3676nysvX8+Gz85v9OA40GiAkpDF8OGRBOEfYRDxKcEaQQMA9ODRELiwjTBf0CIgBY/bT6Sfgq9mX0BfMT8pTxiPHs8bvy6/Nw9Tz3Pvlm+6D93P8GAhAE6QWFB9kI3QmKCuAK3gqHCuIJ9QjMB3IG8gRcA7wBIQCX/ij94fvJ+uf5QfnY+K34vvgI+YX5L/r9+uf74/zo/e3+6P/SAKQBWQLsAloDowPGA8YDpANmAxEDqQI1ArwBQgHOAGQACQDA/4r/af9b/2H/d/+b/8j/+v8sAFsAgQCbAKUAnQCAAE8ACgC0/07/3P5j/un9c/0I/a38afxA/Df8UfyQ/PX8f/0s/vf+3P/TANYB3ALcA8sEoQVUBt0GNQdUBzkH3wZIBnUFagQuA8gBQwCr/gv9cvvr+Yb4UPdT9pv1MPUY9Vj18PXe9h/4qvl1+3T9mP/QAQ0EOwZICCMKuwsCDeoNaQ56DhcOQg39C1AKRgjtBVUDkgC6/eH6H/iK9TnzP/Gu75buAO727Xvuje8n8T/zx/Wt+N37Pv+2AisGgQmdDGQPwBGcE+YUkhWWFfEUpBO2ETQPLwy8CPUE9wDg/ND45vRD8QXuR+sg6aPn4ebg5qXnLelu61nu2vHX9TT6z/6DAy8IqwzVEIoUqxceGs0bpxykHMAbABpuFxsUIBCYC6cGcQEf/Nn2yvEa7e/oa+Ws4srg19/c397g1uK45XHp5u328nv4S/44BBcKuA/uFJAZdh2CIJcipCOdI38iUSAfHQIZFRR/DmgI/wF3+//0ze4S6frjsd9Z3BDa6djw2CnajdwM4I3k7+kL8LL2sv3UBOMLpRLlGHIeHiPCJkApgip7KigpkCbGIuMdDBhtETcKoQLn+kPz8ust5SzfHtos1nnTHNIi0o7TWNZt2q/f+eUa7d30B/1YBZANbxW3HCwjnCjaLMMvPDE4MbQvuSxcKLsiARxgFBIMVQNw+qXxOelw4YbatdQq0A3Nd8t3yxLNPNDh1N7aB+Im6v3ySvzCBR4PFRhgILsn7i3FMhg2zDfPNx82xjLdLYUn8B9VF/YNHAQS+ibwpubc3Q7We89Yys/G/sT2xLrGP8ptzxzWHN4x5xTxe/sTBo0QlRrdIxwsDjN+OD08LD45PmI8sjhDMz0s1CNJGuMP8gTN+cjuOeR12sfRdcq6xMbAuL6kvozAZsQVym/RPto/5CXvnPpMBtsR7hwuJ0ow+jf/PSpCV0RyRHlCeD6LON4wqyc4HdUR2AWh+Yvt9eE817PNpsVWv/W6qbiFuI66tr7fxNvMb9ZS4THtr/ltBggTHR9OKkM0rDxGQ9xHSEp0Sl5IEUSuPWQ1cSshIMoTzAaM+W7s29801NbJEsEuumO117KhssS0NLnPv2XItNJv3jvrtfh2BhMUIiE8LQM4IUFNSE5N+k86UAtOekmpQso5IS//IsEVzAeO+XTr7N1g0TLGvLxItROwRq37rDWv5bPruhDEEM+X20XpsPdoBv0U/CL3L4k7VkURTXtSaFW/VXxTrU52Rw0+uDLQJbUX1win+ZvqKNzAzsvCqLiosAqr/KeYp+Opz642tuG/hsvO2FHnofZFBsUVqSR8MtI+SUmOUV9Xjlr/WqxYplMSTChCMzaQKKYZ6gnV+ePpkdpWzKK/2LRQrEum/KJ9otak9am1sdu7G8gX1mPlifUMBmwWKibLNNtB9UzAVfdbZ1/0X5ddYFh3UBZGjTk8K5EbBQsY+k3pJ9kjyrm8ULFEqNuhSp6vnRCgXKVsrQS408R2033jbPS/BfIWfifhNqNEWVClWT5g8GOaZDdi11yiVNVJxDzSLXMdJQxu+tfo6tcqyBK6Ea6HpL2d7JkxmZabCKFgqV+0sMHt0KDhSvNgBVcXpCi+OChHclM5XTJkJGjuaIlmBmGOWGBN0z9OMEkfSA3W+oLo29Zpxq+3HqsbofSZ45UIlWyX/pyVpe+wtb5/ztHfJvLvBJwXnClhOmlJPlZ7YM9nAGzsbIpq6mQ3XLRQt0KtMhIhbQ5P+03o+dXjxJG1eagEnoSWM5I3kZaTQpkOormt6LsvzBDeAfFuBMMXZyrKO2RLvFhnYxNrgm+QcDRuf2ibX8xTbUXtNMoikQ/Y+zboRdWXw7izJKZDm26T4I7AjRiQ1pXPnr+qSrkAymHc3u/fA8oXBSv4PBlN6Vr8ZfptpXLXc4ZxwWu1YqZW8kcJN28kshBu/D3ovdSGwieyHqTbmLWQ7YupivSMvpLbmwWo37b2x8bav+5CA7UXdivsPYdOxlw4aIRwaXW/dnt0rm6CZT9ZQ0oBOf8lzxEQ/WDoYtSwwd2wa6LMlluOWonyhy2K/Y81mY6lqbQSxkLZpe2bAoQXuyulPq5PUF4aaq5yyndFeRJ3QnEAaJNbXEzQOnYn5RK9/Z/oMtQUwdqvCqEYlWGMK4eehceHl43gll2jrLJYxNfXk+zqATcX1iskP41QiF+ga3d0x3lme0h5enMraqBdPE51PNQo8hNy/vjoLdSywB6v+5+/k8qKYYWvg8OFjIvflHSh6rDJwofWi+sxAdIWxitqPyVRbWDKbN11XnsifRp7VnUBbGRf4E/tPRYq9RQu/2rpUdSJwKquQJ/DkpWJ/YMngiOE4Yk1k9efZq9pwVXVj+pyAFUWjSt3P3ZR/2CYbeB2jnx2fod80XaAbdtgRVE1Pzgr6hXw//LpntSYwHyu154kksSIAYMIgemClYjikYaeIa45wELUoemw/8EVLStMP4FRPmEKboB3V31hf4597HembgRiaVJMQDos0BazAJDqEdXewJSuwZ7gkVaIbIJRgBaCrIfpkIWdHq08v1LTw+jq/hoVpyrqPkZRK2Efbrx3t33jfy1+pHhyb95iSlMvQRotpRd5AUHrqtVawfGu/J75kUyIQIIEgKqBJYdLkNScX6xzvoTS9+ck/l8U/SlUPsdQyGDYbZR3r336f2R++Hjhb2Zj51PdQdQtaBg+AgXsZtYLwpGviJ9tkqWIfIIhgKiBA4cJkHWc5Kvgvd3RP+dg/ZQTLymKPQZQFGA3bQl3P32ofzJ+6Hj0b5xjP1RUQmguFRkBA9jsRNfuwnOwZKA7k2GJIIOogA6CRYclkGmcsKuFvV3RnOaf/LkSQSiOPARPEl88bB12aHztfph9dHiqb35jT1STQtQurBm/A7ntQtgCxJaxjaFjlH6KKoSZgd2C7IefkLGcxKtjvQXREebk+9IRNCdjO8JNwl3patB0KnvIfZV8m3cCbwxjF1SYQhcvKxp3BKbuXdlExfayAqPhlfuLm4XxghOE94h2kU2dIKx8vdjQn+Uw++AQCiYKOkJMKFw/aSNzh3k7fCp7Xnb7bUVillNiQi4vkBonBZ3vldq0xpO0wKS1l9aNb4eyhLGFZoqrkj6exazPvdfQSOWE+uUPxiSFOIhKRVpBZxlxgXdIell5vXSYbCphzVLxQRkv2RrOBZzw5ttNyGq2x6bcmQ6Qp4nYhraHOYw9lISftK1fvgLRDeXk+eMOaSPXNpVIHFjyZLRuGXXwdyN3uXLXarpfuVFDQdcuBRtoBqHxTt0Pyni4E6lUnJ+SPoxiiR6KbY4slh6h7K4rv1vR8ORP+dsN9iECNWxGrlVSYvdrUnI1dYl0VHC6aPZdXVBZQGcuFBv1Bqnyy972y7u6oasan4iVNI9NjOmMApF2mAujbbAzwOPR8eTJ+NEMbyAJMxBEAFNmX+NoL28Zco1xkG1DZt9bt04xP8gtAxt0B7TzW+AAzjC9bq4rosaYhZKYjxWQ9ZMam0ulN7J5wZnSEuVT+McL1x7vMIRBFFAxXH1lsmugbjJubmpyY3ZZyUzNPfos0RriB7/0++Eq0NS/eLGEpVScLpY/k56TRZcXnt2nSbT7wn/TVOXu970KLx22Lso+7ky2WMdh3mfMantq8WZLYLxWk0otPPwrfxo+CMf1qeNx0qPCu7QhqTCgK5o/l4KX75ppob6qo7a6xJXUt+Wc97YJextiLOY7kEn4VMZdt2OgZmtmHGPOXLRTFkhQOs8qChqGCMz2YuXS1JvFM7j/rFakep6Vm76b754Qpe6tQrm0xtrVPeZd97QIvRn0Kdo4/kX7UHxZQl8hYgVi8V7/WF5QVEU5OHIpcxm6CMr3JedL17nI3bsascOoFqM9oE6gRKMHqWmxJrzpyE/X5eY097kH+BdwJ6w1PULDTO5UgVpRXUxdc1rgVL5MT0LmNeUnuRjZCMH47ujZ2fjLtb9utXGt+6czpS6l6adNrS61TL9Yy/PYsecg98YGLBbaJF0yTz5USCBQeVU2WEVYp1V0UNVICD9bMyom3BfhCK/5uup43FXPt8P2uV2yJK1zqluq26zesTm5s8IAzsXaoOgk994FXhQzIvIuOjqzQxdLLlDTUvNSkFC/S6dEgjuYMEAk2xbRCJL6iewl383S38evvoK3jrL4r9CvFrK2tom9WMbe0Mbcs+lA9wIFkBKAH24rADbkPthFpkouTVxNM0vFRjdAvzefLSkithWpCGj7V+7e4VzWKcyTw9u8M7i9tYi1lbfRuxnCOcrx0/Pe6ep09zMEwxDCHNUnpjHrOWZA5kRKR4RHk0WJQYg7wTNyKuYfbxRoCC/8IvCf5P7ZkdCfyGTCDr69u3+7Vb0twebGU84310zhQuzC93ID+g7+GSokMS3ONMc68T4uQW9BtT8PPJ02iy8TJ3gdBRMNCOj86fFm57HdE9XOzRfIG8T0wbDBUMPExu3Lo9Kv2s/jve0p+MICNw02F3IgpCiQLwA1zjjeOiM7njlcNnsxIiuEI+AaeRGZB4/9qPMv6m/hqtka0/DNU8pbyBbIgsmRzCrRJtdU3nvmWu+r+CMCfAtsFK4cBCQ3KhcvgjJgNKY0UzN1MCUshybIHyAYyw8LByX+XfX47DblUd5/2OnTsdDuzqrO5M+R0pjW2Nsm4k7pGPFG+ZcBzAmlEeUYVh/HJBApEyy6Lfwt2SxeKp8mviHiGzoV/Q1iBqj+CPe+7wHpBuP43f3ZMden1WjVdNa+2DTctuAg5kbs9vL8+R4BKAjiDhgVnBpFH/EihSXxJisnNiYcJO8gzBzUFzESDwygBRf/pfh98s7sw+eA4ybgy91/3ErcKd0U3/jhvOVB6mHv8/TL+rkAkQYmDEwR3RW3Gb8c3x4KIDogbx+0HRkbtBeiEwUPAwrEBHL/NPo09ZnwhOwT6V/me+Ry40rjAOSM5eDn5eqE7pzyDve0+2kACwV0CYQNHBEhFIAWJxgMGS0ZihgsFyAVehJPD7sL2wfOA7f/svvg9130RPGr7qPsO+t56mLq8uoi7OftL/Dm8vb1RPm2/C8AlgPPBsQJXQyJDjgQYRH9EQsSjRGJEAsPIg3eClMIlwXAAub/Hv1++hn4APZD9O3yBPKP8Yzx+fHR8gj0lPVl92v5lfvQ/QoAMwI5BA4GpAfyCO4JlQrjCtoKfQrRCd8IsQdTBtEEOgOaAQAAd/4L/cj7tPrX+Tb50vis+ML4EPmS+T/6D/v7+/n8/v0C//3/5AC1AWcC9wJiA6cDxwPEA6ADYAMJA6ACKwKyATgBxQBcAAIAu/+H/2f/W/9i/3n/nv/M//7/MABeAIQAnQClAJsAfQBKAAQArP9E/9L+Wf7f/Wn9//ym/GT8Pvw4/FX8l/z//Iz9O/4J//D/6ADsAfIC8APeBLEFYgbnBjkHVAc0B9UGOAZhBVEEEQOpASIAif7p/FD7zPlr+Dj3QfaP9Sv1GvVh9QD29vY9+M75nvug/cf/AAI8BGgGcghICtoLGQ35DW8Odg4KDisN3QsoChcIuAUcA1YAff2l+ub3VvUL8xnxku+E7vrt/O2M7qrvT/Fx8wH27/gk/Ij/AAN0BsYJ2wybD+0RvRP7FJkVjxXcFIEThhH4DukLbgiiBKAAifx6+Jb0+vDF7RPr+eiM59nm6ea/51bppeue7iryMfaU+jP/6AORCAgNKRHTFOYXShrnG7AcmhyjG9EZLhfME8QPMgs6BgABrvtr9mLxvOyd6Cjle+Kt4M7f6N/+4AvjAObJ6UzuZ/P0+Mn+twSSCiwQVxXrGcAduCC4Iq4jkCNbIhYg0BygGKQTAQ7iB3QB6/p49E7unuiX42DfHtzs2d7Y/9hR2s3cYuD35GvqlPBF90r+bQV3DDATYxnfHnYjAydoKY4qayr9KEsmaCJvHYYX2BCYCf0BQvqj8lvrpeS23r7Z5tVP0w/SM9K906PW0tos4Inmuu2I9bj9CQY8DhEWSR2rIwMpJi3wL0oxJjGDL2ks8Cc2ImYbtRNaC5gCs/nt8Izo0+D/2UfU2c/bzGfListGzZHQVNVs26vi3OrA8xP9jAbjD84YBiFMKGMuGzNNNt03uzfnNWwyYy3vJkEfkxYoDUYDPPlW7+LlK9111f/O/MmXxuzECsX0xp7K7c+71tXe/efu8Vz89QZoEWQbmCS9LJIz3zh4PD8+JT4lPE84vDKWKxMjchn+DgYE4Pjh7WDjsNkc0evJVMSHwKO+ub7MwM7Eosoe0gnbIOUV8JX7RQfNEtId/Cf9MIs4az5sQm5EXUQ3Qgs+9zcoMNgmTRzaENUEnPiN7AfhZNb4zA7F5b6vupG4nLjSuia/eMWZzUzXR+I37r76fAcQFBYgMCsGNUs9vEMlSGJKXkoXSJ1DDz2fNIwqIh+6ErIFcfhb69jeSdMKyWzAs7kWtbuyt7INtay5dMAxyaLTd99V7Nr5mwcxFS8iMS7XOM5BzkieTRdQJFDBTf5I/0H3OCsu7iGcFJ0GXvhM6tXcYtBXxQm8w7S/ryetEa2Br2W0mrvpxA3Qsdxz6un4ogcvFhwk/TBtPBBGnE3SUolVqVUuUypOwkYtPbMxrSR+FpQHY/hf6f7asc3gwee3GLCvqtmnr6czqlWv77bHwJPM+dmS6O33kgcLF9wlkzPEPw9KI1K9V7Ja6FpbWB1TVEs7QR81XSddGJUIfviU6FXZNsunvgu0tqvppdWilKIopYGqd7LNvDbJUte15uj2bAfEF28n8jXcQshNX1ZcXI9f3l9DXdFXsU8fRWw4+ik3Gp0Jr/js59nX9Miwu3ewoKdzoSCexZ1koO2lNq4BufrFwNTf5Nz1MQdbGNMoGDiyRThRTVqqYBxkhWThYUNc01PTSJY7gSwJHK0K9Phm54zW68b8uC2t2qNOnb6ZRpnsm5+hMqpltePCRNIS48r04gbRGAkqAzpFSFxU612kZFRo2mgyZm5guVdVTJk+8C7RHcELTPkB527VHcWMti+qZqB/mbGVG5XEl5mdbab/sfS/489Q4bTzgQYlGRArtDuSSjNXNWFIaDRs2Wwxak5kXFugT3NBQzGMH9cMt/m95n7UicNitH+nRp0Ilv6RSJHvk9+Z7KLQrjC9n82c353yDgZZGegrKj2ZTLtZKWSSa7pvf3Dbbd9nul6xUiBEeDM4Ie8NMvqZ5r3TMcJ/siClfprskqeO0Y1xkHaWsp/dq5u6esv43YbxiwVtGZIsZD5YTvFbxmZ/buFyyHMscR9r0GGFVZ1GizXTIgUPvPqU5irTFcHjsBKjDpgtkK+Lt4pOjWCTwpwpqTe4eMln3HHw+gRjGQ8tYj/QT9ddCWkPcal1snYidApummQZWOdIezdZJBgQVPut5sTSNcCPr1ah+JXOjRiJ/oeHiqGQH5q3pgi2nMfs2mHvXAQ8GV4tJUD/UGlf8Wo+cw54Onm5dp1wFGdpWvtKQznJJSUR9/vj5ovSkL+Eru2fPZTPi+aGqIUgiDuOzZeJpBC06MWI2VfuswP4GIEtrEDmUadgfWwLdQ56XnvveNVyPmlyXNdM4johJysSpfw0537SJr/Crdme35IzihiFt4MahjGMzZWkolKyXsQ92FXtAQOaGHgt+UCFUpJhrW12dql7HH3DerF0E2s0XndOVjxdKCgTW/2f55zS975HrRie3pH6iLGDLIJ5hIWKI5QIodCwAcMP117sRwIiGEUtC0HbUipigG59d9x8cn4yfC12kmyqX9pPmz19KRkUGP4i6OTSAb8UraqdOpEliLGCCoE9gzmJ0JK4n42v1MH/1XPriAGTF+os5UDqUm1i9W4heKh9YH87fUl3uG3TYP1QsT58Kv0U2v696FPTQ78prZCd85CzhxqCUYBogk6I1pG2noqu18AQ1ZfqxQDuFmYsh0CzUl5iDm9geAt+5H/cfQN4hW6tYd9RlD9bK9EVnv9s6erTvb+DrcidCZGnh+uBAYD6gcWHNpEDnsmtDsBD1MvpAAA=\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "max_time = 3\n",
    "f1 = 220.0\n",
    "f2 = 224.0\n",
    "rate = 8000\n",
    "L = 3\n",
    "times = np.linspace(0,L,rate*L)\n",
    "signal = np.sin(2*np.pi*f1*times) + np.sin(2*np.pi*f2*times)\n",
    "\n",
    "Audio(data=signal, rate=rate)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Video"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "More exotic objects can also be displayed, as long as their representation supports the IPython display protocol.  For example, videos hosted externally on YouTube are easy to load:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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\n",
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"400\"\n",
       "            height=\"300\"\n",
       "            src=\"https://www.youtube.com/embed/sjfsUzECqK0\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x7f37b00f5470>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import YouTubeVideo\n",
    "YouTubeVideo('sjfsUzECqK0')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the nascent video capabilities of modern browsers, you may also be able to display local\n",
    "videos.  At the moment this doesn't work very well in all browsers, so it may or may not work for you;\n",
    "we will continue testing this and looking for ways to make it more robust.  \n",
    "\n",
    "The following cell loads a local file called  `animation.m4v`, encodes the raw video as base64 for http\n",
    "transport, and uses the HTML5 video tag to load it. On Chrome 15 it works correctly, displaying a control bar at the bottom with a play/pause button and a location slider."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<video controls alt=\"test\" 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      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import HTML\n",
    "from base64 import b64encode\n",
    "video = open(\"images/animation.m4v\", \"rb\").read()\n",
    "video_encoded = b64encode(video).decode('ascii')\n",
    "video_tag = '<video controls alt=\"test\" src=\"data:video/x-m4v;base64,{0}\">'.format(video_encoded)\n",
    "HTML(data=video_tag)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## External sites"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can even embed an entire page from another site in an iframe; for example this is the Jupyter home page:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"100%\"\n",
       "            height=\"350\"\n",
       "            src=\"http://jupyter.org\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x7f37b00f5dd8>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import IFrame\n",
    "IFrame('http://jupyter.org', width='100%', height=350)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Links to local files"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "IPython provides builtin display classes for generating links to local files. Create a link to a single file using the `FileLink` object:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<a href='Using Nbconvert.ipynb' target='_blank'>Using Nbconvert.ipynb</a><br>"
      ],
      "text/plain": [
       "/home/takluyver/Teaching/jupyter-intro-xfel-jan17/Using Nbconvert.ipynb"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import FileLink, FileLinks\n",
    "FileLink('Using Nbconvert.ipynb')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alternatively, to generate links to all of the files in a directory, use the `FileLinks` object, passing `'.'` to indicate that we want links generated for the current working directory. Note that if there were other directories under the current directory, `FileLinks` would work in a recursive manner creating links to files in all sub-directories as well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "./<br>\n",
       "&nbsp;&nbsp;<a href='./Custom Display Logic.ipynb' target='_blank'>Custom Display Logic.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./nbdime.ipynb' target='_blank'>nbdime.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./.gitignore' target='_blank'>.gitignore</a><br>\n",
       "&nbsp;&nbsp;<a href='./Notebook file format.ipynb' target='_blank'>Notebook file format.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./Typesetting Equations.ipynb' target='_blank'>Typesetting Equations.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./Notebook Basics.ipynb' target='_blank'>Notebook Basics.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./Index.ipynb' target='_blank'>Index.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./nbdime-before.ipynb' target='_blank'>nbdime-before.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./Updating Displays.ipynb' target='_blank'>Updating Displays.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./nbval.ipynb' target='_blank'>nbval.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./Widget Events.ipynb' target='_blank'>Widget Events.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./Widget List.ipynb' target='_blank'>Widget List.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./Beyond Plain Python.ipynb' target='_blank'>Beyond Plain Python.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./Using Interact.ipynb' target='_blank'>Using Interact.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./Using Nbconvert.ipynb' target='_blank'>Using Nbconvert.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./Rich Output.ipynb' target='_blank'>Rich Output.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./Widget Basics.ipynb' target='_blank'>Widget Basics.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./Nbviewer.ipynb' target='_blank'>Nbviewer.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./README.md' target='_blank'>README.md</a><br>\n",
       "&nbsp;&nbsp;<a href='./Working With Markdown Cells.ipynb' target='_blank'>Working With Markdown Cells.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./nbdime-after.ipynb' target='_blank'>nbdime-after.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./Running Code.ipynb' target='_blank'>Running Code.ipynb</a><br>\n",
       "./.git/<br>\n",
       "&nbsp;&nbsp;<a href='./.git/description' target='_blank'>description</a><br>\n",
       "&nbsp;&nbsp;<a href='./.git/ORIG_HEAD' target='_blank'>ORIG_HEAD</a><br>\n",
       "&nbsp;&nbsp;<a href='./.git/HEAD' target='_blank'>HEAD</a><br>\n",
       "&nbsp;&nbsp;<a href='./.git/packed-refs' target='_blank'>packed-refs</a><br>\n",
       "&nbsp;&nbsp;<a href='./.git/config' target='_blank'>config</a><br>\n",
       "&nbsp;&nbsp;<a href='./.git/index' target='_blank'>index</a><br>\n",
       "./.git/hooks/<br>\n",
       "&nbsp;&nbsp;<a href='./.git/hooks/pre-rebase.sample' target='_blank'>pre-rebase.sample</a><br>\n",
       "&nbsp;&nbsp;<a href='./.git/hooks/applypatch-msg.sample' target='_blank'>applypatch-msg.sample</a><br>\n",
       "&nbsp;&nbsp;<a href='./.git/hooks/pre-receive.sample' target='_blank'>pre-receive.sample</a><br>\n",
       "&nbsp;&nbsp;<a href='./.git/hooks/pre-applypatch.sample' target='_blank'>pre-applypatch.sample</a><br>\n",
       "&nbsp;&nbsp;<a href='./.git/hooks/update.sample' target='_blank'>update.sample</a><br>\n",
       "&nbsp;&nbsp;<a href='./.git/hooks/pre-push.sample' target='_blank'>pre-push.sample</a><br>\n",
       "&nbsp;&nbsp;<a href='./.git/hooks/commit-msg.sample' target='_blank'>commit-msg.sample</a><br>\n",
       "&nbsp;&nbsp;<a href='./.git/hooks/post-update.sample' target='_blank'>post-update.sample</a><br>\n",
       "&nbsp;&nbsp;<a href='./.git/hooks/pre-commit.sample' target='_blank'>pre-commit.sample</a><br>\n",
       "&nbsp;&nbsp;<a href='./.git/hooks/prepare-commit-msg.sample' target='_blank'>prepare-commit-msg.sample</a><br>\n",
       "./.git/info/<br>\n",
       "&nbsp;&nbsp;<a href='./.git/info/exclude' target='_blank'>exclude</a><br>\n",
       "./.git/logs/<br>\n",
       "&nbsp;&nbsp;<a href='./.git/logs/HEAD' target='_blank'>HEAD</a><br>\n",
       "./.git/logs/refs/heads/<br>\n",
       "&nbsp;&nbsp;<a href='./.git/logs/refs/heads/master' target='_blank'>master</a><br>\n",
       "./.git/logs/refs/remotes/origin/<br>\n",
       "&nbsp;&nbsp;<a href='./.git/logs/refs/remotes/origin/HEAD' target='_blank'>HEAD</a><br>\n",
       "./.git/objects/pack/<br>\n",
       "&nbsp;&nbsp;<a href='./.git/objects/pack/pack-0b2f8f607a9c3801a23b37ad917969d3bc7c490d.pack' target='_blank'>pack-0b2f8f607a9c3801a23b37ad917969d3bc7c490d.pack</a><br>\n",
       "&nbsp;&nbsp;<a href='./.git/objects/pack/pack-0b2f8f607a9c3801a23b37ad917969d3bc7c490d.idx' target='_blank'>pack-0b2f8f607a9c3801a23b37ad917969d3bc7c490d.idx</a><br>\n",
       "./.git/refs/heads/<br>\n",
       "&nbsp;&nbsp;<a href='./.git/refs/heads/master' target='_blank'>master</a><br>\n",
       "./.git/refs/remotes/origin/<br>\n",
       "&nbsp;&nbsp;<a href='./.git/refs/remotes/origin/HEAD' target='_blank'>HEAD</a><br>\n",
       "./.ipynb_checkpoints/<br>\n",
       "&nbsp;&nbsp;<a href='./.ipynb_checkpoints/Rich Output-checkpoint.ipynb' target='_blank'>Rich Output-checkpoint.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./.ipynb_checkpoints/Using Interact-checkpoint.ipynb' target='_blank'>Using Interact-checkpoint.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./.ipynb_checkpoints/Index-checkpoint.ipynb' target='_blank'>Index-checkpoint.ipynb</a><br>\n",
       "./exercises/<br>\n",
       "&nbsp;&nbsp;<a href='./exercises/WordFrequencies.ipynb' target='_blank'>WordFrequencies.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./exercises/ImageCompare-Solution.ipynb' target='_blank'>ImageCompare-Solution.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./exercises/ImageCompare.ipynb' target='_blank'>ImageCompare.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./exercises/fourier_moon_denoise.ipynb' target='_blank'>fourier_moon_denoise.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./exercises/InteractBasics.ipynb' target='_blank'>InteractBasics.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./exercises/University_of_Sheffield_coat_of_arms_new.png' target='_blank'>University_of_Sheffield_coat_of_arms_new.png</a><br>\n",
       "&nbsp;&nbsp;<a href='./exercises/MonteCarloPi-solution.ipynb' target='_blank'>MonteCarloPi-solution.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./exercises/Wallis-Pi-solution.ipynb' target='_blank'>Wallis-Pi-solution.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./exercises/University_of_Sheffield_coat_of_arms_old.png' target='_blank'>University_of_Sheffield_coat_of_arms_old.png</a><br>\n",
       "&nbsp;&nbsp;<a href='./exercises/Wallis-Pi.ipynb' target='_blank'>Wallis-Pi.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./exercises/circle_integrate.png' target='_blank'>circle_integrate.png</a><br>\n",
       "&nbsp;&nbsp;<a href='./exercises/fourier_moon_denoise-solution.ipynb' target='_blank'>fourier_moon_denoise-solution.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./exercises/WordFrequencies-solution.ipynb' target='_blank'>WordFrequencies-solution.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./exercises/MonteCarloPi.ipynb' target='_blank'>MonteCarloPi.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./exercises/InteractBasics-Solution.ipynb' target='_blank'>InteractBasics-Solution.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./exercises/circle_integrate.svg' target='_blank'>circle_integrate.svg</a><br>\n",
       "./exercises/.ipynb_checkpoints/<br>\n",
       "&nbsp;&nbsp;<a href='./exercises/.ipynb_checkpoints/Wallis-Pi-checkpoint.ipynb' target='_blank'>Wallis-Pi-checkpoint.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./exercises/.ipynb_checkpoints/MonteCarloPi-solution-checkpoint.ipynb' target='_blank'>MonteCarloPi-solution-checkpoint.ipynb</a><br>\n",
       "./exercises/data/<br>\n",
       "&nbsp;&nbsp;<a href='./exercises/data/moon_denoise.png' target='_blank'>moon_denoise.png</a><br>\n",
       "&nbsp;&nbsp;<a href='./exercises/data/moonlanding.png' target='_blank'>moonlanding.png</a><br>\n",
       "&nbsp;&nbsp;<a href='./exercises/data/HISTORY.gz' target='_blank'>HISTORY.gz</a><br>\n",
       "./images/<br>\n",
       "&nbsp;&nbsp;<a href='./images/nbviewer_download_link.png' target='_blank'>nbviewer_download_link.png</a><br>\n",
       "&nbsp;&nbsp;<a href='./images/WidgetModelView.graffle' target='_blank'>WidgetModelView.graffle</a><br>\n",
       "&nbsp;&nbsp;<a href='./images/nbconvert_arch.png' target='_blank'>nbconvert_arch.png</a><br>\n",
       "&nbsp;&nbsp;<a href='./images/nbconvert_file_menu.png' target='_blank'>nbconvert_file_menu.png</a><br>\n",
       "&nbsp;&nbsp;<a href='./images/nbval_cell_tag.png' target='_blank'>nbval_cell_tag.png</a><br>\n",
       "&nbsp;&nbsp;<a href='./images/dashboard_files_tab.png' target='_blank'>dashboard_files_tab.png</a><br>\n",
       "&nbsp;&nbsp;<a href='./images/ipython_logo.png' target='_blank'>ipython_logo.png</a><br>\n",
       "&nbsp;&nbsp;<a href='./images/dashboard_files_tab_new.png' target='_blank'>dashboard_files_tab_new.png</a><br>\n",
       "&nbsp;&nbsp;<a href='./images/python_logo.svg' target='_blank'>python_logo.svg</a><br>\n",
       "&nbsp;&nbsp;<a href='./images/animation.m4v' target='_blank'>animation.m4v</a><br>\n",
       "&nbsp;&nbsp;<a href='./images/command_mode.png' target='_blank'>command_mode.png</a><br>\n",
       "&nbsp;&nbsp;<a href='./images/jupyter_logo.png' target='_blank'>jupyter_logo.png</a><br>\n",
       "&nbsp;&nbsp;<a href='./images/edit_mode.png' target='_blank'>edit_mode.png</a><br>\n",
       "&nbsp;&nbsp;<a href='./images/WidgetModelView.png' target='_blank'>WidgetModelView.png</a><br>\n",
       "&nbsp;&nbsp;<a href='./images/menubar_toolbar.png' target='_blank'>menubar_toolbar.png</a><br>\n",
       "&nbsp;&nbsp;<a href='./images/dashboard_files_tab_btns.png' target='_blank'>dashboard_files_tab_btns.png</a><br>\n",
       "&nbsp;&nbsp;<a href='./images/dashboard_running_tab.png' target='_blank'>dashboard_running_tab.png</a><br>\n",
       "&nbsp;&nbsp;<a href='./images/dashboard_files_tab_run.png' target='_blank'>dashboard_files_tab_run.png</a><br>\n",
       "&nbsp;&nbsp;<a href='./images/FrontendKernel.png' target='_blank'>FrontendKernel.png</a><br>\n",
       "./nbconvert_templates/<br>\n",
       "&nbsp;&nbsp;<a href='./nbconvert_templates/Nbconvert templates.ipynb' target='_blank'>Nbconvert templates.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./nbconvert_templates/makeitpop.tpl' target='_blank'>makeitpop.tpl</a><br>\n",
       "&nbsp;&nbsp;<a href='./nbconvert_templates/Stock display.ipynb' target='_blank'>Stock display.ipynb</a><br>\n",
       "&nbsp;&nbsp;<a href='./nbconvert_templates/nbconvert_template_structure.html' target='_blank'>nbconvert_template_structure.html</a><br>\n",
       "&nbsp;&nbsp;<a href='./nbconvert_templates/foldcode.tpl' target='_blank'>foldcode.tpl</a><br>\n",
       "&nbsp;&nbsp;<a href='./nbconvert_templates/README.md' target='_blank'>README.md</a><br>\n",
       "./nbconvert_templates/solutions/<br>\n",
       "&nbsp;&nbsp;<a href='./nbconvert_templates/solutions/hidecode.tplx' target='_blank'>hidecode.tplx</a><br>\n",
       "&nbsp;&nbsp;<a href='./nbconvert_templates/solutions/hidecode_selective.tplx' target='_blank'>hidecode_selective.tplx</a><br>"
      ],
      "text/plain": [
       "./\n",
       "  Custom Display Logic.ipynb\n",
       "  nbdime.ipynb\n",
       "  .gitignore\n",
       "  Notebook file format.ipynb\n",
       "  Typesetting Equations.ipynb\n",
       "  Notebook Basics.ipynb\n",
       "  Index.ipynb\n",
       "  nbdime-before.ipynb\n",
       "  Updating Displays.ipynb\n",
       "  nbval.ipynb\n",
       "  Widget Events.ipynb\n",
       "  Widget List.ipynb\n",
       "  Beyond Plain Python.ipynb\n",
       "  Using Interact.ipynb\n",
       "  Using Nbconvert.ipynb\n",
       "  Rich Output.ipynb\n",
       "  Widget Basics.ipynb\n",
       "  Nbviewer.ipynb\n",
       "  README.md\n",
       "  Working With Markdown Cells.ipynb\n",
       "  nbdime-after.ipynb\n",
       "  Running Code.ipynb\n",
       "./.git/\n",
       "  description\n",
       "  ORIG_HEAD\n",
       "  HEAD\n",
       "  packed-refs\n",
       "  config\n",
       "  index\n",
       "./.git/hooks/\n",
       "  pre-rebase.sample\n",
       "  applypatch-msg.sample\n",
       "  pre-receive.sample\n",
       "  pre-applypatch.sample\n",
       "  update.sample\n",
       "  pre-push.sample\n",
       "  commit-msg.sample\n",
       "  post-update.sample\n",
       "  pre-commit.sample\n",
       "  prepare-commit-msg.sample\n",
       "./.git/info/\n",
       "  exclude\n",
       "./.git/logs/\n",
       "  HEAD\n",
       "./.git/logs/refs/heads/\n",
       "  master\n",
       "./.git/logs/refs/remotes/origin/\n",
       "  HEAD\n",
       "./.git/objects/pack/\n",
       "  pack-0b2f8f607a9c3801a23b37ad917969d3bc7c490d.pack\n",
       "  pack-0b2f8f607a9c3801a23b37ad917969d3bc7c490d.idx\n",
       "./.git/refs/heads/\n",
       "  master\n",
       "./.git/refs/remotes/origin/\n",
       "  HEAD\n",
       "./.ipynb_checkpoints/\n",
       "  Rich Output-checkpoint.ipynb\n",
       "  Using Interact-checkpoint.ipynb\n",
       "  Index-checkpoint.ipynb\n",
       "./exercises/\n",
       "  WordFrequencies.ipynb\n",
       "  ImageCompare-Solution.ipynb\n",
       "  ImageCompare.ipynb\n",
       "  fourier_moon_denoise.ipynb\n",
       "  InteractBasics.ipynb\n",
       "  University_of_Sheffield_coat_of_arms_new.png\n",
       "  MonteCarloPi-solution.ipynb\n",
       "  Wallis-Pi-solution.ipynb\n",
       "  University_of_Sheffield_coat_of_arms_old.png\n",
       "  Wallis-Pi.ipynb\n",
       "  circle_integrate.png\n",
       "  fourier_moon_denoise-solution.ipynb\n",
       "  WordFrequencies-solution.ipynb\n",
       "  MonteCarloPi.ipynb\n",
       "  InteractBasics-Solution.ipynb\n",
       "  circle_integrate.svg\n",
       "./exercises/.ipynb_checkpoints/\n",
       "  Wallis-Pi-checkpoint.ipynb\n",
       "  MonteCarloPi-solution-checkpoint.ipynb\n",
       "./exercises/data/\n",
       "  moon_denoise.png\n",
       "  moonlanding.png\n",
       "  HISTORY.gz\n",
       "./images/\n",
       "  nbviewer_download_link.png\n",
       "  WidgetModelView.graffle\n",
       "  nbconvert_arch.png\n",
       "  nbconvert_file_menu.png\n",
       "  nbval_cell_tag.png\n",
       "  dashboard_files_tab.png\n",
       "  ipython_logo.png\n",
       "  dashboard_files_tab_new.png\n",
       "  python_logo.svg\n",
       "  animation.m4v\n",
       "  command_mode.png\n",
       "  jupyter_logo.png\n",
       "  edit_mode.png\n",
       "  WidgetModelView.png\n",
       "  menubar_toolbar.png\n",
       "  dashboard_files_tab_btns.png\n",
       "  dashboard_running_tab.png\n",
       "  dashboard_files_tab_run.png\n",
       "  FrontendKernel.png\n",
       "./nbconvert_templates/\n",
       "  Nbconvert templates.ipynb\n",
       "  makeitpop.tpl\n",
       "  Stock display.ipynb\n",
       "  nbconvert_template_structure.html\n",
       "  foldcode.tpl\n",
       "  README.md\n",
       "./nbconvert_templates/solutions/\n",
       "  hidecode.tplx\n",
       "  hidecode_selective.tplx"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "FileLinks('.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rich output and security"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The IPython Notebook allows arbitrary code execution in both the IPython kernel and in the browser, though HTML and JavaScript output. More importantly, because IPython has a JavaScript API for running code in the browser, HTML and JavaScript output can actually trigger code to be run in the kernel. This poses a significant security risk as it would allow IPython Notebooks to execute arbitrary code on your computers.\n",
    "\n",
    "To protect against these risks, the IPython Notebook has a security model that specifies how dangerous output is handled. Here is a short summary:\n",
    "\n",
    "* When you run code in the Notebook, all rich output is displayed.\n",
    "* When you open a notebook, rich output is only displayed if it doesn't contain security vulberabilities, ...\n",
    "* ... or if you have trusted a notebook, all rich output will run upon opening it.\n",
    "\n",
    "A full description of the IPython security model can be found on [this page](http://ipython.org/ipython-doc/dev/notebook/security.html)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rich output and nbviewer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Much of the power of the Notebook is that it enables users to share notebooks with each other using http://nbviewer.ipython.org, without installing IPython locally. As of IPython 2.0, notebooks rendered on nbviewer will display all output, including HTML and JavaScript. Furthermore, to provide a consistent JavaScript environment on the live Notebook and nbviewer, the following JavaScript libraries are loaded onto the nbviewer page, *before* the notebook and its output is displayed:\n",
    "\n",
    "* [jQuery](http://jquery.com/)\n",
    "* [RequireJS](http://requirejs.org/)\n",
    "\n",
    "Libraries such as [mpld3](http://mpld3.github.io/) use these capabilities to generate interactive visualizations that work on nbviewer."
   ]
  }
 ],
 "metadata": {
  "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": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}