data-science-dataviz.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# The (Data) Science of Dataviz\n",
    "\n",
    "\n",
    "## *Romain Vuillemot*\n",
    "\n",
    "<img src='http://romain.vuillemot.net/img/romain-vuillemot.png' style='width: 200px; float:left; margin: 20px'>\n",
    "\n",
    "<br><br><br><br>\n",
    "[@romsson](https://twitter.com/romsson)\n",
    "\n",
    "[http://romain.vuillemot.net/](http://romain.vuillemot.net/)\n",
    "\n",
    "<br><br>\n",
    "\n",
    "*Notes for a talk given during the [Lyon Data Science meetup](http://www.meetup.com/Lyon-Data-Science/events/227856813/)*\n",
    "\n",
    "*Source [https://github.com/romsson/data-science-dataviz](https://github.com/romsson/data-science-dataviz)*\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## [http://romain.vuillemot.net/](http://romain.vuillemot.net/)\n",
    "\n",
    "<iframe src='http://romain.vuillemot.net/projects/' width='100%' style='width=600px; height: 500px;'></iframe> \n",
    "\n",
    "*A full list of my projects and publications is availble at [http://romain.vuillemot.net/](http://romain.vuillemot.net/) with related code source and materials (usually videos and screenshots). And of course interactive prototype you can play with.*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "\n",
    "## The Globe of Economic Complexity\n",
    "\n",
    "<div style='text-align: center'>\n",
    "  <a href='https://twitter.com/romsson/status/636150555933585408'>\n",
    "  <img src='data-science-dataviz/globe-falling-sand-africa.gif' style='height: 500px'></a>\n",
    "</div>\n",
    "\n",
    "*The Globe of Economic Complexity visualizes 15 trillion dollars of world trade. One dot equals 100 million dollars of exported products. It uses Three.js & WebGL. Check it out: [http://globe.cid.harvard.edu/](http://globe.cid.harvard.edu/).*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## El Atlas de Complejidad Económica de México<br>*Mexican Atlas of Economic Complexity*\n",
    "\n",
    "<iframe src='http://complejidad.datos.gob.mx/' width='100%' style='width=600px; height: 500px;'></iframe>\n",
    "\n",
    "*The Mexican Atlas of Economic Complexity is a diagnostic tool that firms, investors and policymakers can use to improve the productivity of states, cities and municipalities. Check it out: [http://complejidad.datos.gob.mx/](http://complejidad.datos.gob.mx/)*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "By the way you can view, download or [re-compile](http://www.slideviper.oquanta.info/tutorial/slideshow_tutorial_slides.html#/11) this presentation:\n",
    "\n",
    "```\n",
    "> ipython nbconvert --to slides data-science-dataviz.ipynb --post serve\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "Want to see the source code? Fix a typo? Re-use? [https://github.com/romsson/lyon-meetup-data-science-dataviz/](https://github.com/romsson/lyon-meetup-data-science-dataviz/) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# What is data visualization?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## (pre)-Historical Example\n",
    "\n",
    "<div style='text-align: center'>\n",
    "  <img src='data-science-dataviz/example-pre-historic.jpg' style='width=500px'>\n",
    "</div>\n",
    "\n",
    "[Kish tablet](https://en.wikipedia.org/wiki/Kish_tablet) with proto-cuneiform signs dated to ca. 3500 BC.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## William Playfair\n",
    "\n",
    "\n",
    "<img src='https://upload.wikimedia.org/wikipedia/commons/5/52/Playfair_TimeSeries-2.png' style='width: 900px'>\n",
    "\n",
    "Exports and imports to and form Denmark & Norway from 1700 to 1780\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Joseph Minard\n",
    "\n",
    "<div style='text-align: center'>\n",
    "  <img src='data-science-dataviz/minard-russia.png'>\n",
    "</div>\n",
    "\n",
    "Carte figurative des pertes successives en hommes de l'Armée Française dans la campagne de Russie 1812-1813 https://en.wikipedia.org/wiki/Charles_Joseph_Minard"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Joseph Minard\n",
    "\n",
    "<div style='text-align: center'>\n",
    "  <img src='https://upload.wikimedia.org/wikipedia/commons/1/1c/Minard-carte-viande-1858.png' style='width: 600px'>\n",
    "</div>\n",
    "\n",
    "Carte figurative et approximative des quantités de viandes de boucherie envoyées sur pied par les départements et consommateurs à Paris. source: https://en.wikipedia.org/wiki/Charles_Joseph_Minard"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## John Snow\n",
    "\n",
    "<div style='text-align: center'>\n",
    "  <img src='thumbs/snow-cholera-map.jpg' style='width: 600px'>\n",
    "</div>\n",
    "\n",
    "Cholera cases in the London epidemic of 1854 https://en.wikipedia.org/wiki/John_Snow_(physician)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# E. J. Marey\n",
    "\n",
    "<div style='text-align: center'>\n",
    "  <img src='thumbs/marey-train-schedule.jpg' style='width: 900px'>\n",
    "</div>\n",
    "\n",
    "E. J. Marey's graphical schedule shows actual speed of trains with the slop of the line: the steeper the line, the faster the train."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Jacques Bertin\n",
    "\n",
    "<iframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/RZzjuma2F-E?rel=0\" frameborder=\"0\" allowfullscreen></iframe>\n",
    "\n",
    "*[Jacques Bertin](https://en.wikipedia.org/wiki/Jacques_Bertin) (1918 – 2010) was a French cartographer and theorist, known from his book Semiologie Graphique (Semiology of Graphics), published in 1967.*\n",
    "\n",
    "More details on [data visualization milestones](data visualization that we call \"milestones.) and [historical examples](http://www.t-o-m-b-o-l-o.eu/meta/histoire-de-tourner-en-rond-breves-cousues-main-du-fromage-normand-a-barack-obama-2/).\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Why visualize?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Example #1\n",
    "\n",
    "Find the minimal value for the following equation:\n",
    "\n",
    "$1.3 x^2 + 4 x + 0.6$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Let's just automatically find the minimal value using `scipy`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization terminated successfully.\n",
      "         Current function value: -2.476923\n",
      "         Iterations: 20\n",
      "         Function evaluations: 40\n",
      "solved: x=[-1.53845215]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import scipy.optimize as opt\n",
    "\n",
    "objective = np.poly1d([1.3, 4.0, 0.6])\n",
    "x_ = opt.fmin(objective, [3])\n",
    "print(\"solved: x={}\".format(x_))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAk8AAAHfCAYAAABJSTywAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n1YPFkyRJUj1YPEmSJNXD/wNYYCWZygw0zwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1122d0198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pylab as plt\n",
    "from ipywidgets import widgets\n",
    "from IPython.display import display\n",
    "\n",
    "x = np.linspace(-4, 1, 101.)\n",
    "fig = plt.figure(figsize=(10, 8))\n",
    "plt.plot(x, objective(x))\n",
    "plt.plot(x_, objective(x_), 'ro')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Example #2\n",
    "\n",
    "Find interesting patterns in those 4 datasets with eleven (x,y) points.\n",
    "\n",
    "\n",
    "| I    |       | II   |      | III  |       | IV   |       |\n",
    "|------|-------|------|------|------|-------|------|-------|\n",
    "| x    | y     | x    | y    | x    | y     | x    | y     |\n",
    "| 10.0 | 8.04  | 10.0 | 9.14 | 10.0 | 7.46  | 8.0  | 6.58  |\n",
    "| 8.0  | 6.95  | 8.0  | 8.14 | 8.0  | 6.77  | 8.0  | 5.76  |\n",
    "| 13.0 | 7.58  | 13.0 | 8.74 | 13.0 | 12.74 | 8.0  | 7.71  |\n",
    "| 9.0  | 8.81  | 9.0  | 8.77 | 9.0  | 7.11  | 8.0  | 8.84  |\n",
    "| 11.0 | 8.33  | 11.0 | 9.26 | 11.0 | 7.81  | 8.0  | 8.47  |\n",
    "| 14.0 | 9.96  | 14.0 | 8.10 | 14.0 | 8.84  | 8.0  | 7.04  |\n",
    "| 6.0  | 7.24  | 6.0  | 6.13 | 6.0  | 6.08  | 8.0  | 5.25  |\n",
    "| 4.0  | 4.26  | 4.0  | 3.10 | 4.0  | 5.39  | 19.0 | 12.50 |\n",
    "| 12.0 | 10.84 | 12.0 | 9.13 | 12.0 | 8.15  | 8.0  | 5.56  |\n",
    "| 7.0  | 4.82  | 7.0  | 7.26 | 7.0  | 6.42  | 8.0  | 7.91  |\n",
    "| 5.0  | 5.68  | 5.0  | 4.74 | 5.0  | 5.73  | 8.0  | 6.89  |\n",
    "\n",
    "The [Anscombe's quartet](https://en.wikipedia.org/wiki/Anscombe%27s_quartet)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "All points nearly have **identical** simple statistical properties:\n",
    "\n",
    "\n",
    "| Property\t            | Value                |\n",
    "|-----------------------|----------------------|\n",
    "| Mean of x             |\t9                  |\n",
    "| Sample variance of x  |\t11                 |\n",
    "| Mean of y             |\t7.50               |\n",
    "| Sample variance of y  |   4.122              |\n",
    "| Correlation           |   0.816              |\n",
    "| Linear regression line|   y = 3.00 + 0.500x  |\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Not so identical, **visually**.\n",
    "\n",
    "<div style='text-align: center'>\n",
    "  <img src='https://upload.wikimedia.org/wikipedia/commons/thumb/e/ec/Anscombe%27s_quartet_3.svg/990px-Anscombe%27s_quartet_3.svg.png' style='width: 700px'>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Why is it difficult?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Take some time finding the best way to visually represent those two quantities:\n",
    "\n",
    "<br><br><br>\n",
    "\n",
    "<div style='font-size: 300%; text-align: center;'>75 &nbsp;&nbsp;&nbsp;&nbsp; 37</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "<iframe src='http://blog.visual.ly/45-ways-to-communicate-two-quantities/' width='100%' style='width=900px; height: 700px;'></iframe>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "See the full list in [45 Ways to communicate two quantities](http://blog.visual.ly/45-ways-to-communicate-two-quantities/) by Santiago Ortiz"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Visualization as.. a combinatorial problem\n",
    "\n",
    "\n",
    "Line, Circle, Rectangle, .. (Graphical Marks)\n",
    "\n",
    "$\\times$ Position, Size, Color, .. (Properties)\n",
    "\n",
    "$\\times$ Selection, Binning, Aggregation, .. (Data transformation) \n",
    "\n",
    "$=$ Huge number of permutations (even for small and simple datasets)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "## What to optimize? How to evaluate?\n",
    "\n",
    "* Some principles allow to reduce the size of the space and directly jump to interesting points\n",
    "\n",
    "* Otherwise, **no automatic rules** to generate a visualization: each visualization has a specific role, efficiency in a given **context**.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Gestalt / theories of visual perception\n",
    "\n",
    "Humans visual system has a natural hability to generate similarity, continuation, closure, etc. among visual elements.\n",
    "\n",
    "<img src='http://www.fusioncharts.com/blog/wp-content/uploads/2014/03/597x323xillustrations.jpg.pagespeed.ic.E4Yr9kUmb6.webp'>\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Chart junk\n",
    "\n",
    "Uncessary (?) use of decorations/ornament that can impair readability (but increase engagement, memorability, branding).\n",
    "\n",
    "<img src='https://i1.wp.com/eagereyes.org/media/2011/memory-monster.jpg?'>\n",
    "    \n",
    "\n",
    "R.Kosara [Want to Make A Chart Memorable? Add Junk](https://eagereyes.org/blog/2011/want-to-make-chart-memorable-add-junk)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "##  Aesthetic\n",
    "\n",
    "<img src='data-science-dataviz/storyline-aesthetic.png' width=600>\n",
    "\n",
    "Andrew Vande Moere, Helen Purchase. [*On the role of design in information\n",
    "visualization.*](http://infoscape.org/publications/ivs12.pdf)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Graphical Marks & Properties"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Marks and properties list\n",
    "\n",
    "<div style='text-align: center'>\n",
    "  <img src='http://www.infovis-wiki.net/images/8/89/VisualVariables.png'>\n",
    "</div>\n",
    "\n",
    "Bertin, Jacques. \"Semiology of graphics: diagrams, networks, maps.\" (1967)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Marks and properties variations\n",
    "\n",
    "\n",
    "<img src='data-science-dataviz/bertin-semiology.jpg' style='width: 500px'>\n",
    "\n",
    "Bertin, Jacques. \"Semiology of graphics: diagrams, networks, maps.\" (1967)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Ranking of graphical marks\n",
    "\n",
    "<div style='text-align: center'>\n",
    "  <img src='data-science-dataviz/mackinlay-hierarchy.png' style='height: 500px'>\n",
    "</div>\n",
    "\n",
    "*Mackinlay, Jock. [\"Automating the design of graphical presentations of relational information.\"](http://www2.parc.com/istl/groups/uir/publications/items/UIR-1986-02-Mackinlay-TOG-Automating.pdf) Acm Transactions On Graphics (Tog) 5.2 (1986): 110-141.*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Ranking of graphical marks by data type\n",
    "\n",
    "<div style='text-align: center'>\n",
    "  <img src='data-science-dataviz/mackinlay-types.png' style='height: 500px'>\n",
    "</div>\n",
    "\n",
    "*Mackinlay, Jock. [\"Automating the design of graphical presentations of relational information.\"](http://www2.parc.com/istl/groups/uir/publications/items/UIR-1986-02-Mackinlay-TOG-Automating.pdf) Acm Transactions On Graphics (Tog) 5.2 (1986): 110-141.*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Example: Chloropleth maps\n",
    "\n",
    "<img src='data-science-dataviz/nytimes-2016-primaries-new-hampshire.png' style='height: 500px;'>\n",
    "\n",
    "\n",
    "New-York Times elections 2016 [Iowa](http://www.nytimes.com/elections/2016/primaries/iowa) & [New Hampshire Results Exit Polls](http://www.nytimes.com/elections/2016/primaries/new-hampshire)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Visual Mapping\n",
    "\n",
    "## *from templates to customization*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Visualization Templates (or Charts)\n",
    "\n",
    "\n",
    "<img src='http://www.excelcharts.com/blog/wp-content/uploads/2013/11/classification-chart-types.png' style='width:100%;'>\n",
    "\n",
    "Visualization templates can be seen as pre-defined and (usually) well accepted combinations. See The Data Visualisation Catalogue http://www.datavizcatalogue.com/search.html."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Google Visualization\n",
    "\n",
    "<div style='text-align: center'>\n",
    "  <img src='data-science-dataviz/google-visualization.png'>\n",
    "</div>\n",
    "\n",
    "https://developers.google.com/chart/interactive/docs/gallery"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Tableau Software: Show Me!\n",
    "\n",
    "<div style='text-align: center'>\n",
    "  <img src='data-science-dataviz/tableau-showme.png' style='height: 500px'>\n",
    "</div>\n",
    "\n",
    "\n",
    "Mackinlay J, Hanrahan P, Stolte C. **Show me: automatic presentation for visual analysis.** IEEE Trans Vis Comput Graph. 2007 Nov-Dec;13(6):1137-44.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Tableau Software: Drag & Drop\n",
    "\n",
    "<div style='text-align: center'>\n",
    "  <img src='data-science-dataviz/tableau-mapping.png'>\n",
    "</div>\n",
    "\n",
    "Tableau has a 10-12 year jump on Microsoft here and is a swiss army knife when it comes to data sources. Tableau does monthly updates as well with a big release or 2 every year. Still a much easier product to use and deploy at scale.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Raw by designdensity\n",
    "\n",
    "<iframe src=\"https://player.vimeo.com/video/75866661\" width=\"700\" height=\"400\" frameborder=\"0\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>\n",
    "\n",
    "<p><a href=\"https://vimeo.com/75866661\">Raw - Basic Tutorial</a> from <a href=\"https://vimeo.com/densitydesign\">DensityDesign</a> on <a href=\"https://vimeo.com\">Vimeo</a>.</p>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Vega\n",
    "\n",
    "\n",
    "<img src='data-science-dataviz/vega-editor.png' style='width: 800px'>\n",
    "\n",
    "Vega [charts configuration editor](http://vega.github.io/vega-editor/index.html?mode=vega&spec=bar). You borrow configuration from [existing templates](https://github.com/vega/vega/wiki/Marks). Extend them or override. JSON objects as configurations."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Brunel\n",
    "\n",
    "<img src='data-science-dataviz/brunel-geomap.png' style='width: 800px'>\n",
    "\n",
    "http://brunelvis.org/\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# *Preparatory* Visualizations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Trifacta Visual Profiler\n",
    "\n",
    "https://www.trifacta.com/visual-profiling-for-data-transformation/\n",
    "    \n",
    "<div style='text-align: center'>\n",
    "  <img src='https://lh5.googleusercontent.com/Dyia0jy4LTaRhRboLbiHHLdwxXheaO5FFkFtNMp0iC2lpbz7zG9qBHiCzfPi2XKXPtfa6pMmtScb-r8mXlqtGRrx6fltJt1tct_Nnw5Rf908m5453k-j4FCGFkYqoe7f9w' style='height:500px'>\n",
    "</div>\n",
    "\n",
    "\n",
    "Trifacta data wrangler, shows most frequent values, outliers or potential variable transformations. http://vis.stanford.edu/papers/wrangler. See also Google Open Refine http://openrefine.org/.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# *Exploratory* Visualizations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Matlibplot / Seaborn\n",
    "\n",
    "(From http://stanford.edu/~mwaskom/software/seaborn-dev/tutorial/distributions.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from numpy.random import randn\n",
    "import pandas as pd\n",
    "from scipy import stats\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEDCAYAAADDbTRuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nS1LBDHFJKpghLkkF+z/QhL6IoN8VSwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1122bde80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = randn(75)\n",
    "plt.hist(data);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWsAAAEDCAYAAADz4SVPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115129668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(data, 20, color=sns.desaturate(\"indianred\", .75));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAX4AAAEDCAYAAAAyZm/jAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115258630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data1 = stats.poisson(2).rvs(100)\n",
    "data2 = stats.poisson(5).rvs(100)\n",
    "max_data = np.r_[data1, data2].max()\n",
    "bins = np.linspace(0, max_data, max_data + 1)\n",
    "plt.hist(data1, bins, normed=True, color=\"#6495ED\", alpha=.5)\n",
    "plt.hist(data2, bins, normed=True, color=\"#F08080\", alpha=.5);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x115438550>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEDCAYAAADDbTRuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAFftJREFUeJzt3X+Q3HV9x/HncRdyUveMHU6UQgQdeJciSjCmbtHgD3DS\nHJLJ9EcuNcjh2HGsWkpVLliDChY5nBZwOi1VS06LcqnaiJJIQRkN1Wg9A5oUfJM6NQfahEz1iNS5\nBvH6x+42693u7d7e9/b7ed+9HjMZ7r63e/ua796+9nuf+37fdExOTiIiIjEdl3cAERFpnUpcRCQw\nlbiISGAqcRGRwFTiIiKBqcRFRALrmumLZnYb0Ac87u7nTPnaO4EPAye6+0/mL6KIiNTT6Eh8K7Bm\n6kYzOxW4CDgwH6FERKQ5M5a4u98P/LTGl/4auGpeEomISNNmvSZuZuuAx9z9e/OQR0REZmHGNfGp\nzOwE4D2UllIqOjJNJCIiTZtViQMvBE4DvmtmAKcA3zGzVe7+eL07TU5OTnZ0qOtFRGapYXHOqsTd\nfS9wUuVzM/tP4KWNzk7p6Ojg8OGfzeahctHbW1DODClndiJkBOXMWm9voeFtZlwTN7M7gG8AZ5rZ\no2Z2+ZSbaASiiEiOZjwSd/eNDb7+gmzjiIjIbOiKTRGRwFTiIiKBqcRFRAJTiYuIBKYSFxEJTCUu\nIhKYSlxEJDCVuIhIYCpxEZHAVOIiIoGpxEVEAlOJi4gEphIXEQlMJS4iEphKXEQkMJW4iEhgKnER\nkcBU4iIiganERUQCU4mLiASmEhcRCUwlLiISmEpcRCSwrkY3MLPbgD7gcXc/p7ztw8DFwFHgB8Dl\n7v7EfAYVEZHpmjkS3wqsmbLtHuBsd38J8AhwddbB2mliYoLh4Xu49dYdTExM5B1HRKRpDY/E3f1+\nMzttyrZ7qz79FvB7Gedqm4mJCTZs2M7u3ZcDUCxuZdu29XR3d+ecTESksSzWxN8E7Mzg++RiZGRX\nucCXAEvYvXuAkZFdeccSEWlKwyPxmZjZXwBH3f3TjW7b21uYy0PNm0Jh+hF3odCdbN6K1PNVKGd2\nImQE5Wy3lkvczAaAtcBrm7n94cM/a/Wh5lVf3yqKxa3s3j0AQLE4TF/f+mTzQumHL+V8FcqZnQgZ\nQTmz1swbTUslbmZrgHcDF7h76L8Ednd3s23bekZGvkih0E1fn9bDRSSOZk4xvAO4ADjRzB4F3kfp\nbJTjgXvNDGC3u//JfAadT93d3QwMvC7Mu7OISEUzZ6dsrLH5tnnIIiIis6QrNkVEAlOJi4gEphIX\nEQlMJS4iEphKXEQkMJW4iEhgKnERkcBU4iIigc1pAJa018TEBCMju8rjAVZpPIAkQz+b+VGJB6G5\n55Iq/WzmS8spQWjuuaRKP5v5UomLiASmEg+iv381xeJWSv9v6qMUi8P096/OO5aIfjZzpjXxIDT3\nXFKln818qcQD0dxzSZV+NvOj5RQRkcBU4iIiganERUQCU4mLiASmEhcRCUwlLiISmEpcRCQwlbiI\nSGAzXuxjZrcBfcDj7n5OeduvA9uA5wM/BP7Q3cfnOaeIiNTQ6Eh8K7BmyrbNwL3ufibwlfLnIv9v\nYmKC4eF7uPXWHUxMTOQdp64oOUVmMuORuLvfb2anTdl8CXBB+eNPAF9FRS5lUWZLR8kp0kgra+In\nufuh8seHgJMyzCPBRZktHSWnSCNzGoDl7pNmNtnMbXt7C3N5qLZRzrkpFKYfyRYK3cnljZKzWsrZ\nqilne7VS4ofM7LnuftDMngc83sydIkw2izKBLeWcfX2rKBa3snv3AADF4jB9feuTyxslZ0XKz3k1\n5cxWM280rZT4F4DLgKHyfz/fwveQBSrKbOkoOUUa6ZicrL8aYmZ3UPoj5omU1r+vAe4E/glYTvOn\nGE5GeddTzuwoZ3YiZATlzFpvb6Gj0W0anZ2ysc6XLmwpkYiIZEpXbIqIBKYSFxEJTCUuIhKYSlxE\nJDCVuIhIYCpxEZHAVOIiIoGpxEVEApvTAKyFYnx8nMHBYZYuXcK1176BZcuW5R2ppig5JyYmGBnZ\nVb6cfZUuZ5+DKPsySs6FaNGX+Pj4OCtXfoIjR0oj0XfuHGJ09LLkCjJKTs3pzk6UfRkl50K16JdT\nBgeHOXJkkMpc6SNHrmJwcDjnVNNFyak53dmJsi+j5FyoFn2Ji4hEtuhLfGhogJ6eIeAocJSenhsZ\nGhrIOdV0UXL296+mWNxKJWexOEx//+q8Y4UUZV9GyblQzTiKNkNJj6KN8gfDKDmj/ZEr5bGkUfZl\nlJwVKT/n1ZoZRasSrxLoiVXODEXIGSEjKGfWminxRb+cIiISmUpcRCQwlbiISGAqcRGRwFTiIiKB\nqcRFRAJTiYuIBKYSFxEJrOUphmZ2NbAJ+CWwF7jc3f83q2AiItJYS0fiZnYa8MfAee5+DtAJ9GeY\nS2qYmJhgePgebr11BxMTE3nHqWt8fJy3vOVmNm68gfHx8bzj1BVlf4rMpNUj8SPAU8AJZvY0cALw\no8xSyTRRZjZr7rlIe7V0JO7uPwH+ChgDfgyMu/uXswwmvyrKzGbNPRdpr5aOxM3shcCfAacBTwCf\nMbM3uPun6t2nt7fQUsB2SzVnoTD9CLFQ6E4u79KlS2puSy1nlP1ZLeVs1ZSzvVqaYmhmG4CL3P3N\n5c8vBV7u7m+rcxdNMZyjY7/+DwBQLA4n+ev/seWUqwDo6bkx8eWUASDd/VmR8s9mNeXMVjNTDFtd\nE/8+sMXMngFMABcC/9bi95ImdHd3s23bekZGvlie2Zxm4SxbtozR0csYHBwqzz1Pr8Ahzv4UaaTl\neeJmdhVwGaVTDPcAb3b3p+rcXEfiGVLObEXIGSEjKGfW5vNIHHe/Ebix1fuLiMjc6YpNEZHAVOIi\nIoGpxEVEAlOJi4gEphIXEQlMJS4iEphKXEQkMJW4iEhgKnHizJU+dOggF100yMqV7+DQoYN5x6lL\n88SzE2VfRhHhOZ+tli+7n6VkL7uPMlf60KGDnHvuP/L001sA6Oy8jgcfvJSTTnpuzsl+1bEBWIMA\n9PRonnirouzLailfzh7hOZ+qmcvuF/2ReJS50ps23VQu8FLOp59+L5s23ZR3rGk0Tzw7UfZlFBGe\n81Ys+hIXEYlMyylB5kofW055LwCdnR9MfDlF88TnKsq+rBZjOWUASPM5n6qZ5ZRFX+JQenJHRnaV\n50qvSvZJPXToIJs23URXVyfDw3+aXIFXjI+PMzg4XJ4n/oZkSyfC8x5lX1akXOIQ4zmvphKfpdR/\nACuUM1sRckbICMqZNf1hU0RkgVOJi4gEphIXEQlMJS4iEphKXEQkMJW4iEhgKnERkcBU4iIigXW1\nekczWwZ8HDgbmATe5O7fzCqYiIg0Npcj8VuAne5+FvBi4OFsIrVflJnN+/btZfnyP+KEEy5h3769\necepK8rc8wg5o8y/jvIaWohauuzezJ4FPODuL2jyLsledh9lZvO+fXt5zWt2Au8rb/kA9923lhe9\n6Jw8Y00TZe55hJxR5l9HeQ1V02X3cDpw2My2mtkeM/uYmZ3Q4vfKVZSZzWvXfohSgS8p/7umvC0t\nUeaeR8gZZf51lNfQQtXqmngXcB7wdnf/tpndDGwGrql3h97eQosPNb+WLl1Sc1tqeTs6pr8hd3R0\nJJezq6uz5jblnL1CYfoRd6HQnVRGiPMamir1fM1qdTnlucBudz+9/PkrgM3ufnGduwRYTkl7ZvOx\n5ZTK++S1iS+npD33PELOKPOvo7yGqi2k5ZSWR9Ga2S7gze7+iJm9H3iGuw/WuXmyJQ5xZjbv27eX\ntWs/REdHBzt2bE6uwCuizD2PkDPK/Osor6EKlThgZi+hdIrh8cAPgMvd/Yk6N0+6xCsCPbHKmaEI\nOSNkBOXMWjMl3vJ54u7+XeBlrd5fRETmTldsiogEphIXEQlMJS4iEphKXEQkMJW4iEhgKnERkcBU\n4iIiganERUQCU4kTZxby/v2PcMYZAzz72b/P/v2P5B2nrij7M8I88SiizD1fiFq+7H6Wkr3sPsos\n5P37H+H887dTPU/8619fzxlnnJlnrGmi7M8I88SrpXyZeJS559VS3p/V5nOe+IIRZRby2rXXM32e\n+PX5hqohyv6MME88iihzzxeqRV/iIiKRLfoSHxoaoKdnCDgKHKWn50aGhgZyTjXdzp3vAT5AJSdc\nW96Wlij78/bbr6Sz8zoqOTs7P8jtt1+Zd6yQ+vtXUyxupbIvi8Vh+vtX5x1r0Vj0a+IQZxby/v2P\nsHbt9eV54lcntx5eEWV/RpgnXpH6Gm6UuecVqe/PinmdJz5LSZd4RaAnVjkzFCFnhIygnFnTHzZF\nRBY4lbiISGAqcRGRwFTiIiKBqcRFRAJTiYuIBKYSFxEJTCUuIhJY11zubGadwCjwmLu/PptIIiLS\nrLkeiV8BPAS05bLPxW7PnlFOPnkDS5b0sWfPaN5x6ooypzvC3PMoc7oj7MuFquUjcTM7BVgL/CXw\n55klkpr27BllzZqvAHcCsGbNB7j7bjjvvJX5Bpvi2JzuWwA499w053Qfm3u+GYCdO9Obex5lTneE\nfbmQzeVI/Cbg3cAvM8oiM7j44g8zdZ54aVtaoszpjjD3PMqc7gj7ciFr6UjczC4GHnf3B8zsVc3c\np7e30MpDtV26OWvNwelILm9XV2fNbanlXLp0Sc1tKeUsFKYfcRcK3UllhBj7spbU8zWrpSmGZnY9\ncCnwC6Ab6AE+5+5vrHMXTTGco2PLKdeUt1zL3Xe/NuHllPcC0Nn5wcSXU64CoKfnxuSWAI4tpwwA\nUCwOJ76cku6+nCrl13q1toyiNbMLgHc1ODtFJZ6BPXtGy0soHdx117uSK/CKKHO6I8w9jzKnO8K+\nrJb6a72inSX+Tne/ZIabqcQzpJzZipAzQkZQzqw1U+JzOk8cwN2/Bnxtrt9HRERmT1dsiogEphIX\nEQlMJS4iEphKXEQkMJW4iEhgKnERkcBU4iIiganERUQCU4mj+ddZ0wzs7IyNHWDFireyfPmljI0d\nyDtOXVGe84VozpfdNynZy+6PDWzaAkBnZ+rzrwcB6OlJc2ZzvBnY6e7PsbEDrFy5jeqhZ6OjG1i+\n/Pl5xpomynNebSFddr/oj8Q1/zpbmoGdnXXrbqBU4JUZ8lvK29IS5TlfqBZ9iYuIRKblFM2/zpRm\nYGfn2HLKlvKW6xJfThkA0n3Oqy2k5ZRFX+Kg+ddZ0wzs7IyNHWDduhs47rgOtm8fTK7AK6I85xUq\n8dlLusQrAj2xypmhCDkjZATlzJr+sCkissCpxEVEAlOJi4gEphIXEQlMJS4iEphKXEQkMJW4iEhg\nKnERkcC6Wr2jmZ0KfBJ4DjAJfNTdP5JVMBERaWwuR+JPAVe6+9nAy4G3mdlZ2cRqryizkKPMPY+S\nM4IIM88lXy0fibv7QeBg+eMnzexh4GTg4YyytUWUWcjHBnXdAsC556Y59zxKzgiODenaDMDOnenN\nPJf8ZbImbmanASuAb2Xx/dopyizkKHPPo+SMIMLMc8lfy0fiFWb2TOCzwBXu/mS92/X2Fub6UPOi\nUJh+xF0odCeXt6urs+Y25cxGivmWLl1Sc1uKWaulnq8iSs5G5jTF0MyWAHcBX3L3m2e4abJTDKPM\nQo4y9zxKzmqpTrSLMPN8qlT35VSBcs7fKFoz6wA+Afy3u1/Z4ObJljjEmYUcZe55lJwVKb+gI8w8\nr5byvqwWKOe8lvgrgF3A9yidYghwtbvfXePmSZd4RaAnVjkzFCFnhIygnFlrpsTncnbKv6KLhURE\ncqUSFhEJTCUuIhKYSlxEJDCVuIhIYCpxEZHAVOIiIoGpxEVEAlOJi4gEphInzszmsbEDrFjxVpYv\nv5SxsQN5x6krynx2kYVgzlMMo4sys3ls7AArV24DtgKwcuW1jI5uYPny5+cbbIoo89lFFopFfyQe\nZWbzunU3ANdQyQlbytvSEmU+u8hCsehLXEQkskVf4kNDA/T0DAFHgaP09NzI0NBAzqmmu/POzcC1\nVHLCdeVtaenvX02xuJVKzmJxmP7+1XnHElmw5vQ/hZiFpEfRRpnZPDZ2gHXrbuC44zrYvn0wufXw\niijz2SsijCWNkBGUM2vzOk98lpIu8YpAT6xyZihCzggZQTmz1kyJL/rlFBGRyFTiIiKBqcRFRAJT\niYuIBKYSFxEJTCUuIhKYSlxEJLCWB2CZ2RrgZqAT+Li7D2WWSkREmtLSkbiZdQJ/A6wBfgvYaGZn\nZRlMREQaa3U5ZRXwH+7+Q3d/ChgB1mUXS0REmtFqif8G8GjV54+Vt4mISBu1WuJtGbgiIiIza/UP\nmz8CTq36/FRKR+P1dPT2Flp8qPZSzmwpZ3YiZATlbLdWS3wUOMPMTgN+DGwANmYVSkREmtPScoq7\n/wJ4O/AvwEPANnd/OMtgIiLSWLvmiYuIyDzQFZsiIoGpxEVEAlOJi4gE1vLslNkysz8A3g/8JvAy\nd9/TrsduRoRZMGZ2G9AHPO7u5+SdpxYzOxX4JPAcStcTfNTdP5JvqunMrBv4GrAUOB64092vzjdV\nfeVRF6PAY+7++rzz1GJmPwSOAE8DT7n7qlwD1WFmy4CPA2dT+hl9k7t/M99Uv8rMjNKV8BUvALbU\nei2180h8L7Ae2NXGx2xKoFkwWyllTNlTwJXufjbwcuBtKe5Ld58AXu3u5wIvBl5tZq/IOdZMrqB0\nJljKZyJMAq9y9xWpFnjZLcBOdz+L0nOf3Jl1XrLC3VcALwV+Dmyvddu2lbi7f9/dH2nX481SiFkw\n7n4/8NO8c8zE3Q+6+4Plj5+k9AI5Od9Utbn7z8sfHk/pN7Cf5BinLjM7BVhL6eix4f/9PGdJ5zOz\nZwGvdPfboHS6tLs/kXOsRi4EfuDuj9b6YtuWUxJXaxbMb+eUZcEoXwy2AvhWzlFqMrPjgD3AC4G/\nc/eHco5Uz03Au4GevIM0MAl82cyeBv7e3T+Wd6AaTgcOm9lW4CXAd4Arqt7QU9QPfLreFzM9Ejez\ne81sb41/Sa7hVUn5V9SQzOyZwGcpvUCezDtPLe7+y/JyyinAajN7Vc6RpjGziyn9DeQBEj/KBc4v\n//r/u5SW0V6Zd6AauoDzgL919/OA/wE25xupPjM7Hng98Jl6t8n0SNzdL8ry+7XRbGfByAzMbAnw\nOeB2d/983nkacfcnzGwHsBL4as5xpvod4BIzWwt0Az1m9kl3f2POuaZx9/8q//ewmW2ntEx5f76p\npnmM0h+Hv13+/LMkXOKU3hC/4+6H690gr1MMUzui+P9ZMOV3vg3AF3LOFJKZdQD/ADzk7jfnnace\nMzuxfJYCZvYM4CLggXxTTefu73H3U939dEq/Vt+XYoGb2QlmVih//GvA6yidzJAUdz8IPGpmZ5Y3\nXQj8e46RGtkI3DHTDdpW4ma23swepXTGwg4z+1K7HruRKLNgzOwO4BvAmWb2qJldnnemGs4HNlE6\n2+OB8r8Uz6h5HnCfmT1Iac3+i+7+lZwzNSPVpb+TgPur9udd7n5PzpnqeQfwKTP7LqWzU67POU9N\n5TfDC4F/nul2mp0iIhKYrtgUEQlMJS4iEphKXEQkMJW4iEhgKnERkcBU4iIiganERUQCU4mLiAT2\nfx7hSppFrymGAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115147c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data1, data2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaQAAAGpCAYAAADC0kLrAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAJhAIQEATKCQAAAm/H/RZy4EIMcRrwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11545b438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "with sns.axes_style(\"white\"):\n",
    "    sns.jointplot(data1, data2);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXsAAAEDCAYAAADUT6SnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11544ad68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = stats.gamma(3).rvs(5000)\n",
    "plt.hist(x, 70, histtype=\"stepfilled\", alpha=.7);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXsAAAEDCAYAAADUT6SnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAGwpJREFUeJzt3Xt0nPV95/H3SKMZ3caSjWXjG5iL/QVDCJddNtvsbkIO\nydImBXraQGhpaaA53UMK2ZzegJ7dprvnkNBuWBpyyIYSUijBgYaGmAMkNk7SkAv3O8Jf12ABNrYs\nXyTrLo00+8c8Ho2MNaORNHpm9Hxe5+jo+f3meWa+Gmk+8+j3PM9vYplMBhERWdhqwi5ARETKT2Ev\nIhIBCnsRkQhQ2IuIRIDCXkQkAhT2IiIREC90o5nVA/8KJIEE8AN3v9HMlgAPACcCHcBl7t4dbHMj\ncDUwBlzv7pvLV76IiExHwT17dx8CLnD3s4GzgAvM7D8BNwBb3H09sDVoY2YbgMuBDcBFwB1mpv8e\nRERCVjSI3X0gWEwAtcAh4GLgnqD/HuDSYPkSYKO7j7p7B7ADOH8uCxYRkdIVDXszqzGzl4BO4Cfu\n/jqw3N07g1U6geXB8kpgV97mu4BVc1iviIjMwHT27MeDYZzVwH8xswuOuj0DFJpzQfMxiIiErOAB\n2nzu3mNmjwLnAZ1mdry77zWzFcC+YLXdwJq8zVYHfVPKZDKZWCxWYtkiIpFXUnAWOxtnKZB2924z\nawA+DvwNsAm4Crgl+P5wsMkm4H4zu5Xs8M064JmC1cZidHX1llJzRWlrS1Vt/dVcO6j+sKn+cLW1\npUpav9gwzgrgx8GY/dPAI+6+FfgK8HEz2w58LGjj7u3Ag0A78DhwbTDMIyIiIYpVwBTHmWp/d63W\n+qu5dlD9YVP94WprS5U0jKNz4EVEIkBhLyISAQp7EZEIUNiLiESAwl5EJAIU9iIiEaCwFxGJAIW9\niEgEKOxFRCJAYS8iEgEKexGRCFDYi4hEgMJeRCQCFPYiIhGgsBcRiYBpfyxhVHXu6+Kp518jVjMx\ndfT6k1Zz2vpTQ6xKRKQ0Cvsi9uzZy/YDDSSSDbm+mo7dCnsRqSoaxhERiQCFvYhIBCjsRUQiQGEv\nIhIBCnsRkQhQ2IuIRIDCXkQkAhT2IiIRoIuq5sCWn/6C7e9259ojw4P8zkUfYs3q1SFWJSIyQWE/\nB/oHR0nXTwT7ULqb4eHhECsSEZlMwzgiIhFQcM/ezNYA9wLLgAxwp7t/zcy+BPwR0BWsepO7Px5s\ncyNwNTAGXO/um8tUe2hGRobp6+sFoL4eRke1Fy8ila3YMM4o8EV3f8nMmoHnzWwL2eC/1d1vzV/Z\nzDYAlwMbgFXAE2a23t3Hy1B7aNrfG6f9vp8BkEjEGRmDVGvIRYmIFFAw7N19L7A3WO4zszfIhjhA\n7BibXAJsdPdRoMPMdgDnA0/NXcnhSy1ekVtOJOOMDKdDrEZEpLhpj9mb2VrgHCaC+zoze9nMvmVm\nR/ZrVwK78jbbxcSbg4iIhGRaYR8M4XwP+IK79wHfAE4Czgb2AF8tsHlmtkWKiMjsFD310szqgIeA\n+9z9YQB335d3+13AI0FzN7Amb/PVQV9BbW2pEkqeX62LG0kkh0kkp36qjr5tdCTO4sVNFf1zHVEN\nNRai+sOl+qtHsbNxYsC3gHZ3vy2vf4W77wmavwW8GixvAu43s1vJDt+sA54pVkRXV+8MSp8f3YcG\ngjH5Y4/LH2vMfnQkzaFD/RX9c0H2D73SayxE9YdL9Yer1DeqYnv2HwauBF4xsxeDvpuAK8zsbLJD\nNDuBPwZw93YzexBoJ5uO17q7hnFEREJW7Gycn3Pscf3HC2xzM3DzLOtacDb98Mf0DEz8BzA+MshV\nn7kkxIpEJEo0XcI86Tw0zEB8Za492P1WiNWISNRougQRkQhQ2IuIRICGccogkWzge5tfojb+aq5v\nLNZAQ0uIRYlIpCnsyyBelyS+9NSwyxARydEwjohIBCjsRUQiQGEvIhIBCnsRkQhQ2IuIRIDCXkQk\nAnTq5VEe3fxT9hwYzLX7+vuoaVwbXkEiInNAYX+Unv40/Xlz2MRa9CSJSPXTMI6ISAQo7EVEIkBh\nLyISAQp7EZEI0LHHsCRSfOO+Ryd1nX/mGs47+6yQChKRhUxhH5KGVBsjR/Ud7u0LpRYRWfg0jCMi\nEgEKexGRCFDYi4hEgMJeRCQCdIC2gg0ODpJOj07qa2pqpqZG79EiUhqFfQX77g82s6u7Ntce6NnH\nX33+0zQ3p0KsSkSqkcK+giWTTSw6ri3XjsViIVYjItVM4wEiIhEQ+T37J37yM4hNvOd1du2nZnFb\ngS1ERKpP5MP+qTf2k2o7JdeuWXx6iNWIiJRHwbA3szXAvcAyIAPc6e5fM7MlwAPAiUAHcJm7dwfb\n3AhcDYwB17v75vKVLyIi01FszH4U+KK7nwF8CPi8mZ0O3ABscff1wNagjZltAC4HNgAXAXeYmY4L\niIiErGAQu/ted38pWO4D3gBWARcD9wSr3QNcGixfAmx091F37wB2AOeXoW4RESnBtPe6zWwtcA7w\nNLDc3TuDmzqB5cHySmBX3ma7yL45iIhIiKZ1gNbMmoGHgC+4e6+Z5W5z94yZZQpsXug2ANrawrtI\nKJmoJZGc3XHq2W5/RMuixknPRXNzgp7BiftOJOIsXZoilZq75yvM534uqP5wqf7qUTSlzKyObND/\nk7s/HHR3mtnx7r7XzFYA+4L+3cCavM1XB30FdXX1llb1HBoeGSMxnJ7x9olknJFZbJ+v5/DApOei\nr2+EkfTEfY+MpNm/v5ehoTl5ONraUqE+97Ol+sOl+sNV6htVsbNxYsC3gHZ3vy3vpk3AVcAtwfeH\n8/rvN7NbyQ7frAOeKamiMurt6+XA/v2T+jKZov94iIhUvWJ79h8GrgReMbMXg74bga8AD5rZNQSn\nXgK4e7uZPQi0A2ngWnevmDT95dMv8lzH2KS+xsUnhFSNiMj8KRj27v5zpj6Ie+EU29wM3DzLusoi\nVlND86KWsMsQEZl3OgdeRCQCFPYiIhGgsBcRiYAFPRHa7XdtpDedzLXHxmDRsuicVysicsSCDvtk\nUwvjcV3AKyKiYRwRkQhY0Hv2UfDlr93NWF1rrl2X7uEvr/tsiBWJSCVS2Fe5htRSYs0n5tqx/ndC\nrEZEKpWGcUREIkBhLyISARrGqSCvbtvJwcMTU1ru3d9Nbas+/FxEZk9hX0EyrWeya2CiXdt6XHjF\niMiComEcEZEIUNiLiESAhnGqTH//ALHYxHt0JpMhFmI9IlIdFPZVpL55Kf/w/ckf/FXXsJj6kOoR\nkeqhsK8idYl66o7TJ2uJSOkU9gvM+Pg4PT3dk/qampqJx/WrFokyJcACMxI/jtu/+4tce3hogN+7\n6IOcZutDrEpEwqawX2CSDSmSDRNz9scHekOsRkQqhU69FBGJAIW9iEgEKOxFRCJAYS8iEgEKexGR\nCFDYi4hEgMJeRCQCFPYiIhFQ9KIqM7sb+CSwz90/EPR9CfgjoCtY7SZ3fzy47UbgamAMuN7dN5eh\nbhERKcF0rqD9NnA7cG9eXwa41d1vzV/RzDYAlwMbgFXAE2a23t3H56hemYHd7+0mkZj4VaeaF9HW\ntjTEikRkvhUNe3d/0szWHuOmY02jfgmw0d1HgQ4z2wGcDzw1qyplxurrm3h6Zw9P73wn17dm0SC/\n/zu/HmJVIjLfZjM3znVm9gfAc8Cfuns3sJLJwb6L7B6+hCRWU0NTavGkvnhdOqRqRCQsMw37bwD/\nK1j+38BXgWumWDdT7M7a2lLFVpmRhoYkYzXln+stkayu+eSaG5O557xcz/18Uf3hUv3VY0Yp5e77\njiyb2V3AI0FzN7Amb9XVQV9BXV3lmZlxcHCYkXh592ITyTgjw9W1p9yXGaarq5e2tlTZnvv5oPrD\npfrDVeob1YxOvTSzFXnN3wJeDZY3AZ8xs4SZnQSsA545ensREZlf0zn1ciPwEWCpmb0L/DXwUTM7\nm+wQzU7gjwHcvd3MHgTagTRwrbsXHcYREZHyms7ZOFcco/vuAuvfDNw8m6JERGRu6QpaEZEIUNiL\niESAwl5EJAKq6wRxmRPvdvbz/+57lIbGBIMDI4wM9nD953437LJEpIwU9hGUXLyWYSATjzOSTDPY\nNxJ2SSJSZhrGERGJAIW9iEgELJhhnOHhYZ569gWITUzGefhwL3VLQixKRKRCLJiwP3z4ME+295Ja\nvDzXV7fktBArEhGpHBrGERGJAIW9iEgEKOxFRCJAYS8iEgEKexGRCFDYi4hEgMJeRCQCFPYiIhGg\nsBcRiQCFvYhIBCyY6RJk5tLj8MOtT07qO/O0U1i9amVIFYnIXFPYC6m2k/GDk/vqduxU2IssIBrG\nERGJAIW9iEgEKOxFRCJAYS8iEgFVe4D29W3b2fnOnlx7YKCfWE0ixIpERCpX1Yb99rd2805//mcO\nttLcElo5IiIVrWrDXsprz573aH9jW67d3NzECWvWhFiRiMxG0bA3s7uBTwL73P0DQd8S4AHgRKAD\nuMzdu4PbbgSuBsaA6919c3lKl3LaPbyC3c/sz7Vbarfz365U2ItUq+kcoP02cNFRfTcAW9x9PbA1\naGNmG4DLgQ3BNneYmQ4CV6H6xtSkr7o6HQ8RqWZFg9jdnwQOHdV9MXBPsHwPcGmwfAmw0d1H3b0D\n2AGcPzeliojITM10r3u5u3cGy53A8mB5JbArb71dwKoZPoaIiMyRWR+gdfeMmWUKrFLoNgDa2lIl\nP24qVU8iXRnHlxPJyqhjJqZbe2MsMaPfU7lVYk2lUP3hqvb6SzHTlOo0s+Pdfa+ZrQD2Bf27gfyj\neKuDvoK6unpLLqC3d4iR4caSt5triWSckeF02GXMSCm17+05wKOP/+ukvnM++AHq6urKUdq0tLWl\nZvS3UylUf7gWQv2lmGnYbwKuAm4Jvj+c13+/md1KdvhmHfDMDB9DKknzyTy5fSzX7Ot+D1t3Mi0t\nrSEWJSLTNZ1TLzcCHwGWmtm7wP8EvgI8aGbXEJx6CeDu7Wb2INAOpIFr3b3oMI5UvpraODW1E+3a\n2vD26EWkdEXD3t2vmOKmC6dY/2bg5tkUJSIic0vnwIuIRIDCXkQkAhT2IiIRoLAXEYkAhb2ISAQo\n7EVEIkBhLyISAVUzqUtPTzfj4+O59vDwUIjVCEB39+TfyX0P/ZCx2uZcOz7ez59cM9VlGiIyn6om\n7G//xx+QqV+Wa9fU1uljCEPUkFrKvT98Y1JfouEE6hsm5usY63t7vssSkSlUTdg3NrdSu2hl2GVI\nIF6XZNES/T5EqoXG7EVEIkBhLyISAQp7EZEIUNiLiESAwl5EJAIU9iIiEaCwFxGJAIW9iEgEKOxF\nRCJAYS8iEgEKexGRCFDYi4hEQNVMhCbVL51Os237djKZib4li1tZtVITqomUm8Je5s3AQD8PPtFO\nc+tEuK9seocrf1thL1JuCnuZV4lkA8mGply7tnYgxGpEokNj9iIiEaCwFxGJAA3jSBllGBsby7Xy\nl3NrZDLv66+trS17ZSJRM6uwN7MO4DAwBoy6+/lmtgR4ADgR6AAuc/fu2ZUp1Wgo1sKXv/mDSX31\nLasmtTv2j01aZ6B7Dzff9Pl5qU8kSma7Z58BPuruB/P6bgC2uPvfmtlfBu0bZvk4UoXqmxZT37S4\n4DpNrSsmtWOxclYkEl1zMWZ/9MvzYuCeYPke4NI5eAwREZmF2YZ9BnjCzJ4zs88FfcvdvTNY7gSW\nz/IxRERklmY7jPNhd99jZm3AFjPbln+ju2fMLDPFtiLvE6tJ8s+PbJ3Ud9ZpJ2HrTg6pIpGFYVZh\n7+57gu9dZvZ94Hyg08yOd/e9ZrYC2FfsftraUkUfq76hjliyMk8eSlRoXdNRabUnVqxl/1G7B4f7\nu6f8G5nO304lU/3hqvb6SzHjV7qZNQK17t5rZk3AJ4C/ATYBVwG3BN8fLnZfXV29RR9vaHCU2rr0\nTMstm0Qyzshw5dU1HdVS++GewWP+jbS1pab1t1OpVH+4FkL9pZjNbt1y4PtmduR+vuPum83sOeBB\nM7uG4NTLWTyGiIjMgRmHvbvvBM4+Rv9B4MLZFCWSb3BwgJ6eiUs14vE6mpqaCmwhIkerrAFbkWN4\nsWOUl97+Ra69KN7H9ddcHmJFItVHYS8Vb9Fxk6+6bUy/F1IlItVLYS8LUk9PN+n0xJw7tbU1tLYW\nvppXZCFT2MuC9M3vPMZIfEmuXTPUxU3X/36IFYmES2EvC1JDU4pk48S8O0Pdae77ly259tjYGBd8\n6ExOWLM6jPJE5p3CXqrezo6dPPDYMySS9bm+kVgjDXnr1Leu4UDeTMojQwMcOtStsJfIqMiw79p/\ngOdffp1Y3hxrw6NjNIZYk1SO7sO9/Gjrk6RaGujtGaRrfxc0raK2ceIik4YC24tEUUWG/dvv7uK1\nvfXUJZK5vsbjFoVYkVSSuiXGtoOQ6I8zMlwHNYto0J6ASEH6WEIRkQhQ2IuIRIDCXkQkAipyzF6k\n3GrrEjz682386Kkdub6Vi2u58tO/GWJVIuWjsJdIqq2N09S2blJfrLboRy+IVC0N44iIRIDCXkQk\nAhT2IiIRoLAXEYkAhb2ISAQo7EVEIkCnXooE3jswwJ0bHyu4zjm2in9/7gdz7ce3/ox39/Xl2kP9\nfVz16U/Q0tI65X38/FfP0t7RRUNDksHBYcbSaS78j2ey7tSTZ/9DiExBYS8SSLSuZbDIOt2Heye1\ne/tHGYxPfGxi7/heRkfTBe+jp2+AwfgqxmrijMTTjI4Pcbivr+A2IrOlYRwRkQhQ2IuIREBFDOPs\neHMn+/bvz7XffOst4KTwChKZwls7O/hlw8TnLHTu2wctS0OsSGR6KiLsf/XSdvaP5r1gYqcSr6sN\nryCRKQw0nM7TO/M6mtdP+ve4Jl7Hj376NMn6ic/KOuWE5Zxz1hnzVqPIsVRE2BOLUVNbGaWIFFLs\n77QpdRz7M5B/pLd21z6FvYROCStSAV597XX6+gdy7ePblmLrT821Dxw8yGtvbJ+0zWnrTmH5srZ5\nq1Gqm8JeJGR1iXp62MBL7030Ld3XMSnsX2t3Xtoz+YN2h0e284lZhv0rr7/BtjcnHng8k+HXzj2N\nE9asntX9SuUpS9ib2UXAbUAtcJe731KOxxGpBv+2u4ev/9OjuXb/wBD1S6a+6AognU7T1zdxTv/Q\n0CBQ+FPVh4eHGR0dmdTX2NhETc3UJ93t2tPFnuGJ42Xp0RE693UVDPt0Os3Q0CD19eRqTCSSJBKJ\ngvVJuOY87M2sFvg6cCGwG3jWzDa5+xtz/Vgi1SDZehJjee36+uLbvNdbx233/SzXzpBh0XHHTVrn\n3958i7raWK79/KvbGKpdnmv39x7ki1f9V5YtW5bre+7Fl+nt7c+13+p4G1rOKuGngaefe4Efv7iX\nZDLJyEj2ArLzTm3i1y/86JTbDAwM8KtnX6AmNvHGc8KalZxy0tqSHltmrhx79ucDO9y9A8DMvgtc\nAijsRaapMVX8dM50y1m80jnRrlt2HnV5t9ckmnjsJ5PPDHqns5/6xWsnViox6AEyGUgtWUOyIcHI\ncDbsa2KHC25z8NBBfrV9mFTrxM91sPetgmGfTqe5/6HHqKuf+j+a0aEBfve3f4N4XCPSxZTjGVoF\nvJvX3gX8hzI8jogU0JRaTA+LIW9kp37x/BzQHRwcZHh4KNc+fPj9bwY7dvfy9//4SK49PtTNZz/z\nqVx7dDTN2wfHWbR06poPH9zJoUOHqKubOsri8TjNzalSf4Si+vv73zds1tLSSiwWm2KLcJUj7DOl\nbjA+MshA95tlKKX8xpN1DA2Phl3GjFRz7aD6yyGdHmXTw6/wykvPTLnOjjffIrXmfDL1iVz9W194\nhl0d7bl1Xtu2g0TLCZO2S7UuZ+BAz6S+gaGJAa7hQfjy1++bdHtT6jgGDkydDZmRIf7PN79b8Gfq\nO/AO55556vv6m5vr6esbOsYW0/NK+w7qF0/8jEP93fztl/6CZDJZYKvwlCPsdwNr8tpryO7dTyX2\nZ9ddWYYyRGT+XBV2AVJEOcL+OWCdma0F3gMuB64ow+OIiMg0zflEaO6eBv4E+BHQDjygM3FERMIV\ny2RKHmIXEZEqoymORUQiQGEvIhIBCnsRkQgI7bKzap4/x8zWAPcCy8heV3Cnu38t3KpKF0xt8Ryw\ny91/M+x6SmFmrcBdwBlkfwdXu/tT4VY1fWZ2I3AlMA68CnzW3YfDrWpqZnY38Elgn7t/IOhbAjwA\nnAh0AJe5e3doRRYwRf1/B3yK7GVnb5L9HfRMfS/hOFbtebf9KfB3wFJ3P1jofkLZs8+bP+ciYANw\nhZmdHkYtMzQKfNHdzwA+BHy+yuo/4gtkz5iqxqP0fw885u6nA2dRRdNxBKclfw44N3jx1gKfCbWo\n4r5N9vWa7wZgi7uvB7YG7Up1rPo3A2e4+weB7cCN817V9Byr9iM7nR8H3p7OnYQ1jJObP8fdR4Ej\n8+dUBXff6+4vBct9ZINmZbhVlcbMVgO/QXbvuDKv756CmbUA/9nd74bs6b6VuEdWwGGyOwyNZhYn\nO53l7nBLKszdnwQOHdV9MXBPsHwPcOm8FlWCY9Xv7lvcfTxoPg1U5LzOUzz3ALcCfzHd+wkr7I81\nf86qkGqZlWAv7RyyfyzV5P8Cf052GKHanAR0mdm3zewFM/sHMys8/28FCf7d/irwDtkLD7vd/Ylw\nq5qR5e5+ZCq2TmB5oZUr3NXAY2EXMV1mdgnZ4ddXprtNWGFfjcMG72NmzcD3gC8Ee/hVwcw+RXb8\n70WqbK8+EAfOBe5w93OBfip7CGESMzsF+O/AWrL/ETab2e+FWtQsuXuGKn1dm9lfASPufn/YtUxH\nsGNzE/DXed1FX8dhhX2p8+dUHDOrAx4C7nP3h8Oup0S/BlxsZjuBjcDHzOzekGsqxS6yezXPBu3v\nkQ3/avHvgF+6+4HgivN/Ifs7qTadZnY8gJmtAPaFXE/JzOwPyQ5nVtOb7SlkdxReDl7Dq4HnzWxZ\noY3COhunqufPMbMY8C2g3d1vC7ueUrn7TWT3DDCzjwB/5u5/EG5V0+fue83sXTNb7+7byX5Qzuth\n11WCbcD/MLMGYIhs/VNPM1m5NpGdAe2W4HtV7fQEZwT+OfARd5/59JfzzN1fJW/ILAj88yrybJwF\nMH/Oh8meNneBmb0YfL3vaHkVqcZ/v68DvmNmL5M9G+fmkOuZNnd/meypu88BR8Zc7wyvouLMbCPw\ny+yivWtmnwW+AnzczLYDHwvaFekY9V8N3A40A1uC1/AdoRY5hbza1+c99/mm9frV3DgiIhGgK2hF\nRCJAYS8iEgEKexGRCFDYi4hEgMJeRCQCFPYiIhGgsBcRiQCFvYhIBPx/MxXr7uepPVQAAAAASUVO\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1152f7da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "y = stats.gamma(3).rvs(5000)\n",
    "plt.hist(x, 70, histtype=\"stepfilled\", alpha=.7);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaYAAAGpCAYAAADGJ5LWAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xt8VPWdP/7XXJNMLpBJMBcgJAQFEy5RLkIMoSAqUkBs\n1J9+XVtqFyy7W1B+2lVZ2+1aRG2/KP3VsmK1tq7WtlJZUIQKagKEAILhFkATEiA3IBlynSRz/f0x\nnMM5Z86ZOTNzJnNm8n4+HvtYMzkz+STV8z6fz+f9eb81brfbDUIIIUQltJEeACGEEMJFgYkQQoiq\nUGAihBCiKhSYCCGEqAoFJkIIIapCgYkQQoiqUGAihBCiKhSYCCGEqIo+0gMgvrlcLnR3d3u9npyc\nDK2WnisIIbGHApPKdXd3Y9uXNTCZEtnXenq6MXfqaAwbNox3LQUrQkgsoMAUBUymRCQmpbBf9/Z2\nY9eBOpjNaexrVmsvlnynwCtYEUJItKHAFKUSEvjBihBCYgUFJpWQ2kvq7OwE1dklhAwlFJhUQmwv\nCQDarlxCYtIwJCVHaGCEEDLIKDCpiHAvCfDsJxFCyFBCgSlGuFwudHZ2er1OmXqEkGhDgSlG9PX1\nYteBq5SpRwiJehSYYghl6hFCYgEFpggQy8Cj7DtCCPGgwBQBYhl4lH1HCCEeFJgiRKyag9IoIYIQ\nEo0oMIVZJJftKCGCEBKNKDCFWaSX7YQJETSLIoSoHQWmQTAYy3Zy0SyKEKJ2FJiGILmzKIBmUoSQ\nwUeBiYjOogCaSRFCIoMCEwEgfjiX9qMIIZFAgYlIov0oQkgkUGAiPlGZI0LIYKPApCAqNUQIIaGj\nwKSgSJ9ZGgy070QICTcKTApT05mlcKB9J0JIuFFgIgGjfSdCSDjR2gshhBBVoRkTCRntOxFClESB\niYSM9p0IIUqiwEQUQftOhBCl0DoLIYQQVaHARAghRFVoKY+EBSVEEEKCRYGJhAUlRBBCgkWBKUhU\nF88/SogghASDAlOQhkJdPKXR8h4hRA4KTCGI9bp4SqPlPUKIHBSYyKASLu/RLIoQIkSBiUQUzaII\nIUIUmEjEUZIEIYSL1koIIYSoCs2YZKDU8MElte8E0N4TIUMBBSYZKDV8cIntOwFAT0835k4d7bX3\nRMGKkNhCgUkmSg0fXGL7Tr293dh1oI4XsChYERJ7KDCRqCIMWGLBirL6CIluFJhI1KOzUYTEFgpM\nJOaI7VGJLfm5XC4A4AUrsdcYFNgIGRwUmEhMkrPk13blErQ6vd/XAFoeJGQwUWAiQ4ZYsNJqDX5f\nI4QMLlqXIIQQoio0YyJEBkqoIGTwUGASqD5xFp09A7zXHLZeAInibyBDQjgSKoRBTazCiNh1hMQ6\nCkwCHT0D6IfgYGfPVcBIgWmoUzKhQiyodXZ2ovxoI0yJSexrUkkXFMRILKPAREgIgk2okApqiUnD\nZJ3JEgtioczgApnpKf2ZlLZPhAYtMDkcDrS2tg7Wjwta+5UWdPU18l5z9nWjz92JhAQT+5rF0gat\nVod+a1fYXhusn6O2n6228YTz52jcTva1zo52dHd1eF33TY0NySn8GVNnpwUJpiQMH57Ku/bdLXW8\nazs7LdBqdIq9Fo7PDORnDwz0Y860PCQnh7dIZbg/PzMzE3o9zQukaNyDVCK7sbERd9xxx2D8KEII\nUbU9e/Zg1KhRkR6Gag1aYIqWGRMhhIQbzZh8G7TARAghhMhBO4iEEEJUhQITIYQQVaHARAghRFUo\nMBFCCFEVWYHp2WefRXFxMRYvXsx7/d1338U999yDRYsW4Ve/+lVYBkgIIWRokZWvWFZWhkcffRT/\n/u//zr5WVVWFzz//HNu2bYPBYIDFYgnbIAkhhAwdsmZM06ZNQ0oKv37cn//8Z6xYsQIGgwEAYDab\nlR8dIYSQISfoPabz58/jq6++woMPPohHH30UJ06c8Hm9w+FAY2MjHA5HsD+SEEKGjKF8zww6MDmd\nTnR2duKvf/0rnn76aTzxxBM+r29tbcUdd9xB1R8IIUSGoXzPDDowZWRk4K677gIATJ48GVqtFlev\nXlVsYIQQQoamoAPT/PnzUVVVBQCor6+H3W5Hamqqn3cRQgghvsnKyluzZg0OHTqEjo4OzJkzB6tW\nrUJZWRmee+45LF68GAaDAS+//HK4x0oIIWQIkBWYNmzYIPo6nV0ihBCiNKr8QAghRFUoMBFCCFEV\nCkyEEEJUhQITIYQQVaHARAghRFWo6TwhQ9wvf/lLVFRUID4+Hi+99BIKCgq8rrl48SLWrFmDzs5O\nFBYW4pVXXmHrZEq9f968eUhMTIROp4Ner8eHH34IAHjyySdRX18PAOjq6kJKSgq2bt06SL/tdRUV\nFXjxxRfhcrlw//33Y8WKFaLXHTx4EOvXr4fD4UBqaireffddAMAf//hHfPjhh3C73XjggQfwgx/8\nYDCHH9vcg+TixYvum266yX3x4sXB+pGERJTD4QjL5zqdTsU+68svv3T/8z//s9vtdrurq6vdDzzw\ngOh1q1atcn/yySdut9vt/tnPfuZ+//33/b5/7ty57qtXr/r8+S+99JL79ddfD/n3CJTD4XDPnz/f\nffHiRbfNZnMvWbLEXVtb63VdZ2ene+HChe6Wlha32+12t7e3u91ut/vs2bPuRYsWufv7+90Oh8O9\nbNky9/nz5xUd41C+Z9JSHhnyGhsbsWDBAjz11FNYuHAhVq1ahf7+fgDAyZMn8eijj+J73/sefvSj\nH+HKlSsAgL/+9a+4//77ce+99/Kuf+aZZ/Czn/0MDz74IH71q1/h0KFDWLp0KZYuXYr77rsPVqsV\nbrcbL7/8MhYvXozFixdjx44dADxP5o8++ihWrVqFe+65B0899RQ7xnnz5uHXv/41vve972Hnzp2K\n/e579uzBfffdBwCYMmUKurq60NbWxrvG7Xbj4MGDWLBgAQDgvvvuw+7du2W93+12S/5st9uNTz/9\nFIsWLQIAXLp0SXLWcsstt2D9+vVYtGgRli1bFnKbnePHjyMnJwejRo2CwWDAd7/7XezZs8fruu3b\nt+Ouu+5CZmYmgOtdFM6dO4fJkycjLi4OOp0O06dPxz/+8Y+QxkSuo6U8QgA0NDRg/fr1uOWWW/Dc\nc8/h/fffx/e//3388pe/xKZNm5CamoodO3bg1VdfxYsvvoi77roLDz74IADgtddew4cffoh/+qd/\nAgBcvnwZf/nLX6DRaPDjH/8YP//5z3HLLbegr68PRqMR//jHP3D27Fls27YNFosF999/P6ZPnw4A\nOH36ND755BPccMMNePjhh3H06FHceuutAIDU1FT8/e9/9xr79u3b8dZbb3m9PmbMGGzcuNHn7335\n8mX2pgsAmZmZaG1tRXp6Ovva1atXkZKSAq3W8xybkZGBy5cvS77/0qVLSE9Ph0ajwQ9/+ENotVo8\n9NBD7N+L8dVXXyEtLQ05OTns527evFl0nH19fZg0aRKeffZZvP7663j99dfx/PPPB/13uHTpErKy\nstivMzIycPz4ca/3nj9/Hg6HA48++ih6e3vx/e9/H0uXLsWNN96IV199FR0dHYiLi0N5eTkmTZok\nOnYSOApMhADIysrCLbfcAgBYsmQJ3n33XcyePRvffvstfvjDHwLwVNS/4YYbAADffPMNXnvtNXR3\nd8NqtWL27NkAAI1GgwULFkCj0QAAbr31Vqxfvx6LFy/GXXfdhYyMDBw9ehSLFi2CRqNBWloapk+f\njhMnTiApKQmTJ09GRkYGAGDChAloampiA9PChQtFx87MvIIlnNUwYw/2/Yz3338fGRkZsFgs+OEP\nf4ixY8di2rRp7Pc//vhj2ePWarXs779kyRL85Cc/8bomkL+D3N/R4XCgpqYG77zzDvr6+vDQQw+h\nqKgI+fn5WL58OR577DGYTCbcfPPNbOAmoaPARAj4Nyq32w2NRgO3240bb7wRH3zwgdf1zzzzDDZt\n2oTx48fjo48+wqFDh9jvJSQksP+8YsUKzJ07F19++SUefvhh/P73v2d/htjPNxqN7Gs6nQ5Op1P0\nc7m2bduGt99+2+v1nJwc/OY3v+G99t577+Fvf/sbNBoN3njjDdxwww28tgqtra1sYGSkpqaiq6sL\nLpcLWq0Wra2tbID29X7m/5vNZtx55504fvw4G5gcDgd2794tOgOUQyywBPJ3yMjIQEtLi+i4uTIz\nM5Gamor4+HjEx8dj2rRpOHPmDHJzc3H//ffj/vvvB+Ap28adgZHQUIgnBEBzczOqq6sBeJ7kp02b\nhry8PFgsFvZ1u92O2tpaAIDVasWIESNgt9uxbds2yc+9cOECbrzxRixfvhwTJ07EuXPnMG3aNOzY\nsQMulwsWiwVfffUVJk+e7HM/xpclS5Zg69atXv8nvBkDwCOPPIKtW7fio48+wg033IA77riDzYir\nrq5GSkoKbxkP8ASB2267jd3b+uijjzB//nwAkHx/X18fenp62L/Vvn37cNNNN7GfWVlZibFjx/KC\nwaVLl7Bs2TLR39HlcrE/f/v27Zg6dWpIf4eJEyfi/PnzaGxshM1mw44dO3DHHXd4XXfHHXfgyJEj\ncDqd6Ovrw/HjxzFu3DgAQHt7OwDPvzufffZZSLNWwkczJkIA5OXl4b333sNzzz2HcePG4eGHH4bB\nYMBvfvMb/PKXv0R3dzecTid+8IMfYNy4cVi9ejUeeOABmM1mTJkyBb29vexncZ/m//SnP+HgwYPQ\naDS48cYbMWfOHBgMBnz99de49957AQBPP/000tLSUFdXN+i/95w5c1BeXo4777wTCQkJWL9+Pfu9\nFStWYN26dRgxYgSeeuoprFmzBq+99hoKCgrYmYLU+9va2vBv//ZvADxLoIsXL0ZJSQn72dykB8bl\ny5eh0+lEx5mQkIDjx49j06ZNSEtLw6uvvhrS763X6/H888/jRz/6EZsunp+fDwDsDPmhhx5Cfn4+\nZs+ejSVLlkCr1eKBBx5gA9OqVavQ0dEBvV6Pn//850hKSgppTOQ6jTvYx7QANTY24o477sCePXsw\natSowfiRhMjS2NiIlStXYvv27ZEeypD23nvvITs7G3PnzvX63i233IKvv/46AqOKnKF8z6QZEyFE\nFR555BHJ7wWakEGiG+0xkSFv1KhRNFtSuaNHj0Z6CGQQUWAihBCiKhSYCCGEqAoFJkIIIapCgYkQ\nQoiqUGAihBCiKhSYCCGEqAoFJkIIIapCgYkQQoiqUGAihBCiKhSYCCGEqAoFJkIIIaoiKzA9++yz\nKC4uFu038vbbb2PChAno6OhQfHCEEEKGHlmBqaysjO28ydXS0oL9+/cjOztb8YERQggZmmQFpmnT\npiElJcXr9fXr1+Ppp59WfFCEEEKGrqD3mHbv3o3MzExMmDBByfEQQggZ4oJqFNjX14c33ngDf/jD\nH9jXBqkRLiGEkBgX1IzpwoULaGpqwpIlSzBv3jxcunQJZWVlaG9vV3p8hBBChpigZkzjx49HZWUl\n+/W8efPw97//HcOHD1dsYEORze7E7sMXAADzp+fAaNBFeESBifbxE0LUQVZgWrNmDQ4dOoSOjg7M\nmTMHq1atQllZGft9jUYTtgEOFTa7Ez9/8wBO1nlmnXurm/CL5bOi5uYe7eMnhKiHrMC0YcMGn9/f\ns2ePIoMZynYfvsDe1AHgZF07dh++gIXFeREclXzRPn5CiHpQ5QdCCCGqQoFJJeZPz8HE/DT264n5\naZg/PSeCIwpMtI+fEKIeQSU/EOUZDTr8YvmsqE0eiPbxE0LUgwKTihgNuqjek4n28RNC1IGW8ggh\nhKgKBSZCCCGqQoGJEEKIqlBgIoQQoioUmAghhKgKBSZCCCGqQoGJEEKIqlBgIoQQoioUmAghhKgK\nBSZCCCGqQoGJEEKIqlBgIoQQoipUxDWCqBU5IYR4o8AUIdSKnBBCxNFSXoRItSInhJChjgITIYQQ\nVaHAFCHUipwQQsTRHlOEUCtyQggRR4EpgpRoRU6ZfYSQWEOBKYpRZh8hJBbRHlMUo8w+QkgsosBE\nCCFEVSgwRTHK7COExCJZe0zPPvssysvLkZaWhu3btwMAXn75ZXz55ZcwGAzIycnB+vXrkZycHNbB\nEj7K7COExCJZM6aysjL8/ve/571WUlKCTz75BNu2bUNubi7eeOONsAyQ+MZk9i0szlNlULLZndhR\nWY8dlfWw2Z2RHg4hJArImjFNmzYNjY2NvNduv/129p+nTJmCXbt2KTsyEvUoa5AQEgxF9pi2bNmC\nOXPmKPFRRMUCnf1Q1iAhJBghn2PatGkTDAYDFi9erMR4iErR7IcQMlhCmjH9/e9/R3l5OX79618r\nNR6iUsHMfihrkBASjKBnTBUVFXjrrbfw7rvvIi4uTskxkRhBWYOEkGDICkxr1qzBoUOH0NHRgTlz\n5uAnP/kJNm/eDLvdjsceewwAUFRUhP/8z/8M51hJBM2fnoO91U3srEnu7EeJeoCEkKFFVmDasGGD\n12v333+/4oMh6kWzH0LIYKEirkQ2mv0QQgYDlSQihBCiKjRjIqpAfaUIIQwKTCTi6IwUIYSLlvJI\nxFGFCEIIFwUmQgghqkKBiUQcVYgghHDRHpNCaPM+eHRGihDCRYFJAbR5Hzo6I0UIYdBSngJo854Q\nQpRDgYkQQoiqUGBSAG3eE0KIcmiPSQG0eU8IIcqhwKQQ2rwnhBBl0FIeIYQQVaHARAghRFVoKS+G\n0aFfQkg0osAUo+jQLyEkWtFSXoyiQ7+EkGhFgYkQQoiqUGBSEZvdiR2V9dhRWQ+b3RnSZ9GhX0JI\ntKI9JpVQek+IDv0SQqIVBSaVkNoTCuXQLh36JYREIwpMEcakdJ+qawvoeoBmQYSQ2ESBKYKEy3em\neD2s/Q4A4ntClAJOCBkKKDBFkHD5ztrvQGlRNgrz00VnQ+FY7iOEELWhwKQyhfnpFGgIIUMapYtH\nUKAp3ZQCTggZCmTNmJ599lmUl5cjLS0N27dvBwB0dHTgySefRHNzM0aOHInXXnsNKSkpYR1srAk0\npZtSwAkhQ4GsGVNZWRl+//vf817bvHkziouLsWvXLsycORObN28OywBjga+Ds0xK98LiPFlBJtDr\nQ6XkoV9CCJFDVmCaNm2a12zo888/x3333QcAuO+++7B7927lRxcDmEy6TVuOY9OW4/j5mwei5gYf\nzWMnhESvoPeY2tvbkZ6eDgBIT09He3u7n3cMTdFcTDWax04IiV6KJD9oNBpoNBolPooQQsgQF3Rg\nSktLw5UrVwAAly9fhtlsVmxQsSRaMunE9pKiZeyEkNgS9DmmefPm4aOPPsKKFSuwdetWzJ8/X8lx\nxYxoyKTzVVFC7WMnhMQeWYFpzZo1OHToEDo6OjBnzhysWrUKK1aswBNPPIEtW7aw6eJDkZzadWov\npuqrooTax04IiT2yAtOGDRtEX3/nnXeUHEvUCXftOn9Bjwq6EkJiEZUkCkE4a9f5C3pKBsX503Ow\nt7qJ/SzaSyKERBIFJoU5nC7sqKwHENosxl/QUzIo0l4SIURNKDCFQDjTKMgzo/JYM07VWwBEV1sK\n2kuSRkumhAwuCkwhEM40nE4XNm89yX4/lFmMv+U1Wn4bHNQDi5DBR4EpRNyZBrOEp9Tn+lpeU2r5\njWYDvlEPLEIGHwUmBQU6i/EXFPwtrzHf9/U5/r5HswFC1M3tdkd6CIOOApOCApnFKBUUfH2Ov59B\nswH/aMmURFpPT0+khzDoKDApTG4SgVRQmD89J6ClNV/BhQJP6ChjkZDBR4FJRRxOF2+Gs7W8FhtW\nz0GSycheI1yaCwXNBuShjEVCBhcFpggRCwoagDfDaWmzYs3GCvz2qbmSS3Nrl82QDC7+Ag/NBggh\nakSBKULEgoJYr6OWtl6fS3MV1/aNxIKLnMBDswFCiNpQYIogYVCYPz0HW8tr0dJmFb3e6XTJ+hy5\n3wMoXZwQtUtKSor0EAadIo0CiTKMBh02rJ6DrPRE9jVm+c1md2LfsWbe9YV55pD2hKh1OiHqNxSb\nsFJgUpkkkxEbVpeitCgbpUXZWLtsBowGHXYfvoCaa6WOGMVTskOa4VDrdOWINVokhASHlvIGkdSy\nGff10qKRWPfOITZgWLoH8Ivls0Q/T6+j5wolBbusSQeVCVEWBaZBInXzAiBIEa9DS1sv+z7u+SZu\nht3NY1JxvPYKTtW1YWXZFF5KuVzzp+eg/GgjOxMrCHFpMJqFElzovBgJJ6r8QMLG17IZP0W81+u9\nAD/DbsDmwAeffYPT568CAL46cxlvrb0zqOCkkfjnoYaCC1GroVj5gdaCQhSOvYWsdBP7z9yzR0yG\nXe3FDlj7Hew11n4HNm05FvDP2X34AtuiAwBO1VsissfE/A23763Dtr11UbdPM396Dibmp7Ff00Fl\nQkJDM6YQBLL84+uwq/D1tctmoKK6iX1fLO9VCP+GjMHepwmlCgYdVCZEWRSYQhDI8g/35uV0uuC+\n9v7503NEb2q+lpBWlk3BV2cus7MmU7weK8umBLx5r4aSRMK/IWOwl9JCDS50UJkQ5VBgGkRGgw7z\np+eIzrICuaklmYx4a+2d7PLdyrIpMBp0AW/eD9aTfrQc4qXgQtTI5RI/WB/LKDCFQO6Mg3tjdjpd\nimyyJ5mMWP3Qrdh9+AIqqptkfa5YgAj3zdjfcqfwb8igfRpChi4KTCGQM+MQ3pi5iQ1i5M4ugvlc\nYVr6htWlkpl8Ss1y/C13ii1x6nXagBoeEhLLtNqhl6NGgSlE/mYcwhtzS5sVWemJbFo4d2YQSDJF\nIJ8rfn0v1mwsx2+fmuc3mIY7EUFOPT86wErI0EGBKQIWleSxVRu4T/9ykimYmcOpujbZnyulpc0q\nuoyo5JkeJRIs6IwRIUMLBSaZgl1KErsxL5iZG9TTvnDmYIrXs5l5KYlGOJwuLJiZCwBeY/VULq+T\nPMAbLH9/l3AmWNDyHhkKuru74XK5htSSHgUmGUJZSpK6MYvdVEuLRvLaXvhbjrP2O5BiMqDLakdX\nrw1/2F6DA8dboNNq2IOz3LFuWF2KNRvLJT+fEUhSh5y/i9RSnc3uxM6qBpxtsGBCrhl3SwRssfGU\nFo2k5T0yJBw40YLx47sxbNiwSA9l0IQcmN544w1s27YNWq0WN910E9avXw+jMfDSOGoW7FKSr6Kt\nYp1oX3j7IBs0MtNMbGVxX7qsdt7XZ66VKRIba5LJiN8+Nc/vLEPuLCeUJTab3Ynn36hk6/RVVDdj\n/7Fm/NfjxbJmXbS8R4aKxMRE/xfFmJACU2NjI/7617/i008/hdFoxBNPPIFPPvkE9913n1LjUzXu\nE/+4UanQ6TVsRhkAySd6sZvq63+r5rW1aG234vMjF7Fkdj77mnDmkJlmQmu7eFNBKXLTw31d52uf\nSy6xNh5MSSSpA8oUdAgZGkIKTElJSdDr9ejr64NWq0V/fz8yMjKUGptqSC0lCZ/4Ge99ehrm4XFo\naL5efNHfE32rxXvv52yDBeAEJmFq9d6vm7wC04QxqbylvGCSDXzt3fja5wq1cWEg1FC1ghASHiEF\npuHDh+Oxxx7Dd77zHcTHx6OkpATFxcVKjU01pJaShE/8jC6r3WuJjUvspjp1/AjUNnbxrpuQaxYd\ny8LiPOyorGerizNun5KFNQ9PBeCd/CCXpbMPq/7vl+jstQHw3rsR2+diBFKcX9hyAwgssFF9OjJU\ndHRcRWdnJ5KTk4dMAkRIgenChQv44x//iM8//xzJyclYvXo1tm3bhiVLlig1PtUIdSlJWCWce1Mt\nLRqJF94+yLv+5txU3H0tw04unUbD1t9jxspU7gb837x7rDb884u7YXdcL4ESyN5NjY+lOCGjQYcX\nHi+Wlfzg6zOGwvIeZR8ObUajEV8cuYilw4YNmQSIkALTyZMnccsttyA1NRUAcOedd+Lrr7+OycAk\nJPbEL6W0KBurH7qVd0Ph3lR3VNZ7fU5aSjwbZORkqpni9aiobkZFdTNb1cFX/Tyxm92mLcd4QYnh\ndF5/bWZhJt7beRpdvdIzQrmMBp1nD42zXEn46HAxSUvPQHyC78ousSakwDR27Fj87ne/Q39/P+Li\n4nDgwAFMnjxZqbGpmvCJf8DuxMFTl7yuK8gzewUlLpvdKZpEsO94C/Ydb8GXRy6ipGikV5ke7qzr\nVF0bb4+LqeqwuGSsaOaasJBs+dFGlEzJRnObeEOyfceacffMXNjsTqx85XN2+c6g12JsdgrOXugA\nQPs84UDZh2QoCikwTZgwAffeey/Kysqg1WpRUFCABx98UKmxqR73iV+Y/pxiMqDsjhux6Paxsuvd\niTndcBWnGzx7ScKnZe6sixuYAE9VhzMN4rM54c2upt7CjlsD772imnoLNn5wFM1tPbw9JbvDhRGp\nCZh3LRjF4jITLaMRMvhCPse0fPlyLF++XImxRDVmBhXITUysF9GI4XG40jEger3U07JUVYfxuWZc\n6ehjA9uEMalwOF2ebD8JniKqGjic/PAkDHwMrUYTs0/valhGo+xDctXSjriEPrhcoyM9lEFDlR8U\npMRm/PgcM650tEh+v9/mEE1muGfWGHy451s2G7Awz4ySydn4n09Ps+89e/4qewCXm+Yt5HC6eQVh\npTANCgMR6AwkkjOWYJbRlB4vZR8Sl8sBl1P8v9VYRYFpEEjdrMSehv/1gSJYugckkyp2Vjag5drZ\nJaZixLp3DnnNvNwA3vzfE+gbcPJeY1j7HSgtysb4XDM+3nuO/UwGUxBWuH8FAONGpSA7PQkry6Yg\nyWQMulWH1AyE+TyH04XKY81e5ZWA4NPhwylcM6yhkn1IxDHJD0MlVRygwBR2vm5WYmnjFdVNKJmS\njWk334C/7P4GAzZ+lhw3gJysa8dvP6wW3aOqqbdg3KgUn2MrzE/HwuI8zJs6mldDryDPDM21a1aW\nTYGle4AXPLk321BadUhVT5fadztZ146dVQ04cKJlUJbXAl1Go0QFQpRBgSnM5DTKW1ic53VDNuq1\nsAlSt1MSjei6dvCVcaJWOnFiRKoJ51t7RFPAuTdZbg09ZpayeetJANdnZRXVTQC8i9CeqmtT9GYs\ntu/Gdbb94hPVAAAgAElEQVTBMmg3f1pGIyQyhs7cUOWEN2RhUAKAsnnjMDE/jf06Kz3RK1BxHTjR\ninij9420tCjba9bDlDk6fa6dXToDPDf+iuomLCzOw8LiPDYoPf9GJTZtOS6ZFMF87o7KeuyorIfN\n7sT86Tm88RfmmeFwutjv+zMxP020GgbzGXI/JxDMgwPzu/si/P0oUYEo4aqlHRZLOzo7O+Fyed8X\nYhHNmAIU6Oa2cDkoK90Ep9MFm90Z0NN3SqIBd80Yg7tmjMGmLccAAONGD8fb22t4140dmYJzTddL\nG3ULSiNNzE/jnauSk7LOXMfMqE7WtUnugTE3Y6klPm6tv33HmvEmZ2b2i+WzRA8uZ6WZsGj2WLbX\nVCVnKa8gzyy6DxWJmQ3NsEg4uFwOxMUNreoPFJgC4Gs/hRuwmL0iwHNz+sXyWdhZ1YCP99Wjpa0X\nm7eexPZ99diwuhRJJiN7nbCSAzdrrqvXjhfePggNwN6E2zr7UZhn5hVsnTUpC+eaToqOX6wChb+l\nM6Nei54+G372RiVvJuV1nUGLH3y3gG2CuKOyXnLJjan1VyOYmTGHf80pcbzPbmm3Qq/TsuPm3vyd\nThe77Cj8OZFAiQpEaWnpGUgbkYneni7/F8cICkwBkNovElZS+OMnNWxQYYKXXqflpV8z1Rl++9Q8\n9oY7a1IWzMlxmJBrxtypo7FpyzHeUplwllJTb8HypRNReusoAGCXjbjJAVyF+ekwGnTosdquz7pG\npfr8nW0OF97dccbv38Zm9ywxhDJDcDpdsmZvwnJOhJDYQoFJAb4qbjPBi1tvjtHSZsXOqgYsmJnL\nuyFbugdw98xcFOan+9zDATzJAMJZ0C+Wz8KuqgZs33fOq1utpbMPy1/cze5hHT59CTfnprKHcENR\nU98Ovc6zbVlaNNJnRptwhliYZ0bNuXbRoORrrybaDqBSJQlC/KPAFACpmyBzo5FyvPYK6ho7Rb+3\nfe85aADJmRj35zFp3NwltYrqZli6B7xKFS2enY+7Z+byboIA8JP/+wUvsaJvwIm0lHisLJsMp9MF\nu9OFTysbAm5ACADnGjux/5jncLBUNh+Dux8zMODEjgPnRJcKxZYfucK1rxOOAKKGShIk+ly1tMMN\nLfr6eodM9QcKTAGQugn62h8yxevZm7WY1nYraurFl67Efh4AbPzgKG8mJdxXkbqp7qisF60K3mrp\nxSSMYAu1fvCPs6LjKZmShZvz0tgzTnu/bmJ7QmWlmbzOWDHZfFKYv92//foLtLb3eX2fm6jhK1Ao\nva8TrgBC55xIMFwuB1wu+5Cq/kCBKUBiN0Gpg7JiVRPEuJxuTMxPk1yOYurbOZ0un0t8NrvTawlv\na3ktNqyeA6NBJ1rFXAOgtrELtY3Hsbe6CcMTjbxqEYzCPDOefHgq7+bMnZE5nC42wy4Quw9fEC19\nxJ0pDfZMgwIIURNu8sNQqf5AgSlAUk/uwoAlVfVbzLmWLrz6xByvZa8eqw1PvlbOLqtVVDdj79dN\nmDUpG1npJt7+UWnRSNHEgZY2K558rRzmlHiv5Ik4o5ZXWeJkXbtotYj8kSkonpLt1R+K+zvb7E5e\n0oWcvR6plh+ZaQm85btYCRSB7IfRXhQZyigwBSDQJ3dP1e9aNoAwhK0lWtut+PzIRTZxgPlZazaW\ne+31nD5/lV0+izPqMCo9EU8/MhUVnBueUGu71etzSiZn4aYcM97++BTv9dsnZ+NCaw+7D2WK18Og\n13mdNxL7nWdNysLwJCPcAAry0ry+z+Xr/FRqcrzP94ZbuBIqfO2HCY8bcOsf0l4UGWooMAUgmCf3\n/JHDvAKTsN8RAF4h1a1f1mJBca7X+4QGbE7UNXdh5SufY1K+70AgdLyuHZc7+Ps6N+em4tCpS2xQ\nSjEZcO938nnp4nLr2+0/1oL9x5rxwuPFsurmcZ1uuMr7GYOdeRfOg7JiS8HCv5/wYSZaZ4hEGdzk\nh87O4ezrycnJMbu0R4FJQb6een1JMRl4iQMt7VZs2fOt7J9r7Xd4dc816LVsjbzCPDPau/p4CQZd\nvTavckapyXGoPNF6/RqrHfVN4tmEXFJBpqbegp1VDZ5miiGQGyiCXf4Se99gHpQV/v38PZCQoYVJ\nfoiLM+LgaQu02g5Yrb1Y8p2CmK0CQYEpAL6e3G12J686wtYva71aSUhJG57A9lFidFntSDHp0WX1\nZOLEGbTISDPhQqt4+3OhR++ZgDijnh33rqoGXoUEMZeveo/XsyxnZvenCvLMAc1WTp9rFw1MvjIZ\nxWZE/gJFsAkSak3h5vbDUvvZLBJeTPLDUEKBKQC+ntx3VTXwzuHIDUoAkGU2ob7Zu9wIE5QAYMDu\nkh2UACDOqGfPWO0+fAFzp47G9mslkUTHkGbCrMnZqG3kj+OmnFQcOnl9FqWB9wxDGGS46po6ResC\nSmUyMp8ZaGAINkFCqcQKqdmanFmc2AOPrzNghMQ6CkwBknpyP+OjXbk/N+YMh6V7gO0uG6rMNBNm\nFmZ6zQRe+pfb8czv9rFLRQlxOjY1vKXdikMnW3mvGfRanGmw8ALuqXoLr3cTtzjrzqoG/OUfZ3mz\nv5Z2q+RynlQmoxzcskqBdtFVmtSsC4Cs2ZjUAw/tKZGhigKTH3L3LcbnmmWlhovZV92MG8yJMBq0\nbM05f8aOTMa5pm7R77W2W7Hipd1eqeBvbTuJDavnSJ6xOnuhg/e13eHCAc6eE0NqY37J7HxoAK8l\nw7989g3mTR0dULdbX3qsNvxo3Wfs0t9XZy5j00/nBZUgoURihdSsi/ln4etiAYcCEZHCJD9wxXoV\nCApMPgSy/7BgZi72H2tm92ImjElFZ8+ArCW9uuYu1Iks5Ukx6LWYc+tonGuqkbxG2PkW4JcvYr5W\nwolvr7BB5u6ZubwDvoAn0WLNxgpsWF2qSBr0pi3HePUIrf0OvPB2FeZNy8GMggzUXuzAeJG+TWKo\nVQVROyb5gfdajFeBiM1cQ4WIPQlv/OCoaEM6o0GH5x+7DSWTszBuVAqKJ2XjpX8tQVaaSfFx2R2e\nShA6rcb/xQIn69qxq6oB/TYHDHr+//zjc4ajME/eDZ1r3/EW/PzNA+xe0uKSsV7XtLT1YtOWY5Iz\nC1+EDQfF1DZ2YfPWk/jgs29QUe3p88SMyZ9AmgGKkWoQSI0DiRLS0jNwQ8ZI3v+lj8iI2VRxgGZM\nAauobvZUYBA87dvsTrzw9kF2xlTbeAoHT7VgwxNz8PqH1dgnqJen02rgdImdaJKnUmSJTS7hjIYx\nIjUB/3p/Eb44chEffHZWtK6eFO4yldisKVhis9anH5mKr85c5s2aGMLK7jurGtiDy+GaDfmadcXa\nbIwqUpDBELshVwHCJ14u4dP+7sMXvEr+nKq3oKK6CZPGjfB6fyhBKRBxBv6syqDXSgaMfcdasO6d\nQ5g7dTQmj0sP+mcaDTpsWD0HWemJ7GsT89OwsmyKoDW8CaVFIyU/x2Z3YuMHR71mWVWnWvHW2jtR\nWpQtWkKJ6+N99di05Tg2bTnOm0HJmYUFQmrWFepsTE2YhwSxvychSqLA5APzJLyybDJKi7KD+ozj\ntVfgdLpQwFkiy0xL8LouLzsFKabQJrBJCddvfHF6DW4ryMSAnR8A7Q7fyRUn69rx5GvlojM8Lr2O\n//WEMam8ZaokkxG/fWouVpZNxsqyyfjF8llIMhmxdtkMNmC1tFmx7p1Dojc35iYotQ9mNOhQmJ+O\nudNyeMuPpvjrf0NPPcHr6fHMwwTdYIPjK8mDhM9VSzvarlzm/Z/F0g6XS16iVDSipTw/mCfe+dNz\nYOke8Nn47qMvv/Vq3+ApzdOCm3NTUTI5C1qtBnnZKfijoCvsnTNy4HC4vWrXBYIbhAYcbjS0dIhe\n528ZUawXk/B6h5P/dWfPgNd7xDLNKqqbRIOF8LqdVQ2STQOFBWsL8sxYsXQidDot7zyUsO06I1aK\nwpKhYSgmP1BgkklqH4G75r6wOA9vbxfPlON2iP220Ttg6HRauCH/CSjTnABowAbClESD157Qpav9\nou8NxzJiS7sVGz84KtrUj/s3EuvkK2SzO/HxPu+W6UwrDGFgqam3YM6to9jAwq14XilS8VyNT/nR\nsHcTbd2CY4VY5YdYb4ERcmDq6urCf/zHf+Dbb7+FRqPBiy++iKKiIiXGpjrCGYBwY74wz8wr3yOl\npc0qWnImkBtm2rAE/Mdjt7GzgxO1V7yW38KlIM+Mq139XqnwwnR0pqX8PkEaPbepoNjNTaxHU1a6\nyWcnW6Z9hrAth5zGjswYIhUc1FoWSYhS68lgCTkwrVu3DqWlpfjNb34Dh8OBvj7vTqSxSvjkfqre\nghVLJ2LOraPQa7Vja3mtVw08RrxRh1kTswCNGzqNBruqGjB36mi8t/OMV3FVMUxixcLiPNjsTvT2\n2bD/WIto5XI5NBrALePNWWkmPP/YbQCANRsrvAIIkwnH7c3Exa1ukZVuwtplM9iZ586qBpxtsMAl\nMpB7ZubxyhcJ6+wJsyUB+Ox4K9YZOFLBQWppkfuwopYgQAeByWAIKTB1d3fjq6++wssvv+z5ML0e\nycnJigxMrbhP1Q6JZal+mwMffHaWbR9h0GuRm5WMby9er9Rd39zFq4+377inTYR5WJyswAR4lsV6\nrDbRABEoOUEJ8CzZfXHkInQ6LRaV5KGmvt2rdfzZBousquotbVZs2nIME3LNqPi6iRe0uEVdC/PM\nqDrVws669lY3sbXkhBUsxAKjWJAR3mB3VNarat/J6XRFxSyKhJ9U5QemBUYstr8IKTA1NjbCbDbj\n2WefxZkzZ1BYWIi1a9ciIcE76ywWCIOAcOmuMM/MW7Zi2B0uWfs6p+otKJ6UiYZm8VJDQnu/bsK2\nvedEkxX84d74A8U945RiMuCmnOH45lo5o4n5aZ5AI7OqBDPTEbL2O1BalI3C/HSvtu0n69rZ2SLz\nGVzCwBjpIOOP2NKiG/LLGZHYJpb8wLTA6O9visn2FyEFJofDgZqaGjz//POYPHky1q1bh82bN2P1\n6tVKjU81eqw2PP7Sbl6CAXfpzul0oeZcO/YdF9/nkVukoTA/HVc6+nizKymnAyz6atRr8cg9ExBv\n1KO0aCSef2O/VzVxObh/gy6rHf3NXfjh4gLEX6toDoCXdFCYZ0bxFE+6feWxZl5RWF8K89OxsDgP\nOyq9EyEYYjd1uYFR2D8rUhv7YkuLakzQIJHhq+1FrM2UGCEFpszMTGRkZGDy5MkAgLvvvhtvvvmm\nIgNTE0+b8wrRSgg6nRbzp+dItgkHPFW8b5+cjZ4+h8/ZTWGeGfOmegozmlPicfTMJSh5vMbmcEGv\n07JP3aVFo1HbGHx6Ovdz6y524OlHp7OvSW2SL5iZi92HL4gWkeUqzDOjtGgkdlTWs+fAmJkoN2hI\n7ReJZePxxiyScBDJVhPCpUXKgCNDWUiBacSIEcjKykJ9fT3y8vJw4MABjBs3TqmxqYZYlhjgmYGU\nFo302SY82WTAyBFJ7LklvU7jdQYoKUGH/3P3zZg7dTSvyGlCnA52p7IHPz/ee+7aOLSAxnt5Mdlk\nQLdEwkYgpDbJuefC2jv72dnTzbmpmDkpC9+evwpogNzMZDy+fjebPMI9B7aybIrP/SLAfykgsYSD\nL45cxGKZ3XbDncFHGXBkKAs5K+/555/HU089BbvdjpycHKxfv16JcamK1Nkbm8PFPmFL6bbaeZv6\nwqAEACNSE+FwuPH636p5N0umL5JccvaNWtqt7H5Nptl7L3BEanzAgcmg1yJ/9HBeQ0A5N27uX0Kj\n0eCuGWNwuOYSTta1e6W+c8+BMSnpvm7UwWSPbd93DnfPzFVN11vKgCOAePIDg0mCiLUEiJAD04QJ\nE7BlyxYlxqJavtIWTtW1YWXZFLy/8ww6ZWbTJZv06OZ0p/Vk6IW+pGbtdyApQYeePnkBrdXCT+1P\niNNJ9njyxe5w4Q/ba3C45pJog7wvv7qI4SlxuHLVitJbRuG7t4/1qi1YU2/xqj4uJZhEALGuu1vL\n63gz4ZY266B2vSVEDrHkB0ZcnBFfHLmIpcOGxVQCBFV+kIGpTi2GOVS6ZM5YvCsoMwR4usmmpcTz\nNvy7rQ7RSg2BSh8Wh7ZOfimghDi97MAkFOgMTYhpCzI+18y7cXOTNGoba3DgeAtKbvEu3uqUm7MO\nzwOB3OUtqRnOopI8XrYfIWrkK/kB8FSBiDWxM/cLo9KikbzioMKCpifr2pFg1GPCmFTe61lpJrz6\nxBz81+PFXkVgQw1KANDWOYCEuOs35oI8M178lxIE3qVJORXVzfjrZ9/4vOb0+as4Xd/OK2xbkGeG\npUO8hJJBr8X4nOFeP0du8VWpGc6CmblB9UuiPkuEhBfNmGSoqG7i7d2InUnS6bRYt/J2tnrBhFwz\nb78ilNbrvnBnOW6XG4drLuH/LBiPP+86C6mjU5lpJrhdLslaeqHq7LWJJnlw7TvWgsI8M5YvnQi9\nTitZcDUl0Yj/7//9DpJMRmz84KjXYdpdVQ3QBdlvKdgEA0pMICS8KDAFydNSwZP6XZBnhtPpYp/C\nl1zL7LLZndi+tw4159pR28Q/lyTcZ1LC6fNX2WWz8TnDUXuxA8LYkJJowMLiXMlisyOGx+FKh3el\ncF9STAav0ksOpxslk7MwduRwvLvztGhliVP1FpTeOgrzp+fg1fePiH52V68NVadasbA4D4X56V7B\nnduQUCoJwVfqdbAJBkzNvd2HL7Dlgyg4kXDwlfwAeBIgXK7Rgzii8KPAJIPwxlaYZ8aMiZmou9iB\ncaOH4+DJVvZp//2dZzApPw3Ll07CK+9+JXmY1GYPby+VsxfEW1509dpRe1H8ewBwpWMARr2WLack\nR5fVLlprT6vVINFk8FnuaFdVA97bedrn0qbT6cKOynr02xy8ArDcQrgAv2Ot0+mCG579wfnTcxSf\n4URL4VW1i4aq6pHmK/kBiM0WGBSYZOAu3TDVsv9wbcbxbWMHryNsZ68N+4634GDNJZ9N+QbCHJh8\ncbrdmDAmlZfGzmVzuBBn1GLAxh9jyeQsjB01DH/57Buv8YsFnwm5Zsl6goCncOy5Jt8bt1JlnrLS\nTVgwawz7vwPj4331XmfOmKAR6MzI102TMvNCR8FdHjnJD7GUKg5Q8oNszJKPTqfl3SSl2pT76xQr\nR3KCvOcGc7IxoM/df6xFtLEf1yN33YzMNBPvtavdA4gz6mUF1cw0E+ZOHY3KY9L7ar5mUlnpiXhs\ncQFSk+NE24i0tFnx7YWrvAQKYcdaRjCdVm12J372RiXb5fZnb1RGbZdbpdvIK4U64hIpFJgUkJIY\nWGCQq7tP3hTdPCw+4M8W9lLiyjAnQKf3dNrlOlVvwfFvr8j6/Dtvy8EXRy7KrovHyEo3YcXSidiw\nuhSHai5J1h4EPAkUGgDLl07EyrLJWFwyVvLaU3VtAd2Ud1U18MZ+qt6CXVUN7NfRkplHbeRJNKKl\nvAAJ95sS4nSibSr8ZaUBQJxBG/KSnilej3///nSs3lAedLVwIUvXgOT5noOnLsn6jHd3nEFmmu8q\n89x9KabA7KLbx8Jo0GHb3jpZh22ZBAqmL1WlRB8obhNDOUtFZxq8A+qZBgtbsihaMvPUvORI9QDl\nkZP8wLTA4IrmahAUmALEvSFJFSJNjNNBo4Xfg67+gpJOC0ht0WgA5Gan4D//eSaqTrUqFpQAZZYh\nAU/b98w0k2Th2tsKMtib+cqyKUgyeWaeUq3V/RHuBQqrvQdyUxZL7x+fa+Z9TSWDQhMtwT3S/CU/\nMC0wtNrrSU1Wa29Ut8OgwBQE5obkcLpEA1NviBUUGGJBKdmkh0ajRVevDfXNXXjm9X2IN6r3P+Yx\nmcm47zvjMGBz4M//OMueuzLF67H6oVt5wYhpb9HbZ5Pd+DArPZH3lM0NFjqd1msp0HEtww/wfSNc\nMDMX+zlJFwV5ZiyYmSvzt1YPtc9KKLj75y/5IRZRYAoQk6k1MODEJ5XnBvVnpw2Lw72zx+Htj6/X\n1fO1V6QGp+st+Omj02E06HDnjDHYtOUYAO8Zkq+2Ib7cM2uMZHAR3pQL8sy8flC+ssCMBh1eeLw4\n5Kf5SKdD06yERCMKTAEI5QYqlylOB6vEjKu9cwAffu673E+4jL4hCRcv9wT8vi6rnV0+SzIZeT2b\nGL7ahgCe7MREk1F0SVDno46h8KYsrC7hb2nP39O8MOgwvwv3azWkQ9OshEQbCkwy2exObPjzEcWD\nkgbXq5cnxOmQGK+XDEyA50Zv0GsV2weSq7U98KDExdzEhQdf5dykNVqt5D6VrwK7wPWbss3uxMYP\njgYzdFHCh5Tyo43QALzZ2KxJWapNPCDRw1/ygxhhQkS0JUJQYJLBZnfi+TcqRc/TMIINFty8vb4B\np6wK34MdlAAE3Uk3IU4Ha58N//brz73OfDEzCE8LilrJM2FiWY+AJ7Vczn6J1Ew3lP0W4SxP+O/G\nybp2mJPjgvpsQrj8JT+I4SZERGMiBAUmGYS9g4SUSPuOVX0DTrZ7rxB3BrFh9Rys2VghO+kBABaX\neFLL/e3jiC0VpiQasHbZjLAuq03INcPSPTAoiQeR3ssi4UPJD0SUVAdbRpxBR4EpBDa7E18cuYj8\n7JRrzQr5ZYqGJRq9mjBmpZtw98zcoMvadPXaUVHdFPSymlhiBXcpb2J+GuZOHQ03AHNynFe1eSVR\naR8SaygwyeDrmKywkKgcRr0GNof8pniMOL0WAxFYxguXiflpmFmYiX99ZY9XN12GKV6PRSW5eG8X\nP+njnlm5AICNHxz1u48j1q02VGLZbsD15IfSopFY984hdmyW7gHcHaZ0czUfoiUkGBSYZJDaYC8t\nysa40cMlW0hIGZOVgnONnV4tKfyJtqCkARAfp2P3zYx6LR666ybEGfXQ67QoLRqJJ18rlwxKgKdd\nfH2zSKFXt0Z2hqTRoMOG1aVYs7Gc3ceSWlZjjwPYHDh74So0AG7MSUW8Ue+1RCaW7cZ8vaOy3itY\n7KxqYFuiECJXMMkPXNxEiGhJgqDAJIPU5nxhfjr6bd4VF/ztOX17sVPye7HEDX4jQ5vDhYbmLhTm\np7O9jKSy7bhOiASfM+fbRYOSVMBJMhnx26fm+dyHkUqS2HfMc0g31CWyj/fVY0EYlvPUfoiWhCaY\n5AcuJhGiv78papIgKDDJ4Hni5m/OZ6WbMLMwE8/8br/X9SmJBnT02GAPYrkumhn1gEic5qmobvb8\n39FG3D4l2/fF13Rbvf+jPHLmstdrJZOzUDA2jde4T5gUwMxouJUmmGv9nac6WdeOjR8cxeqHbvUb\nXMQeZlraesOyxMYsK3K7JweKkifUS6nkh2iYKTEoMMmUZDJeWw7yBKeWNiue+d0+0RTnKx0DQXWC\njXb+ghLXqXoLbpuYicI8c8AVyAHvOoOZaSZc7R5gD9DurW7C2mUzePs8zIzHZnfylvWY1+WQWwzW\naNBhcclY0XbxXEoGhAPXCthWVDej8kSL7NkdJU8QtYmeEDrIxHrYfH7kIm8DXercDYAhF5T8SUrw\nvsl9efQi/uOx27Bi6USUFmVjZkFG0J+fP2oYL8CdrGvHpi3HvPZ5Pt5/Dj9+aQ/vfztmJlRaNJLX\nykIKc72/9hFzp45GVnoi+7VwiU3JlhSh9DaivkhEbWjGJELsCXLtshmiFa/ltLcgQHpqAnr6+NUj\nzjV144W3D+KFx4uxeHY+bHYn/mPTfpy+1lk305yAhcVjUXWqxec5sqx0EzQyx7Flz7foElkaZGZC\nTz8yFW/+7wkc++aKz35Y/mZONrsT6945xFv6FZ6biuVsOloaVE6oyQ+MaKoGQYFJhNgNY9OWY17p\nxka9FrYoy5SLhHijFg3N4iWNauotvJuxRns9xJiHJeDO23Kg02tgTo5DbWMnWi3XZzo3pMajf8CJ\nljYrWtqsvP89JuanYWXZFLR19vOCmlhQYpysa8czv9svO62cCSRMIgcgvV/V0mYN6dyUP8EmQNjs\nTjidrmvdf31nLMpFS4PKCjX5gRFN1SAoMMnU3OZ9Y6Wg5JtWAwxP0sPS7Xvzqfqby5g/PQc7qxp4\nQaSm3uKzGkRXrx39Nn7WX5xRh0fumoDvluTBaNChZEq2z9mWUKBnnZxOF69cVfnRRrzweLGs9yqZ\nTcckQOyqasCZBotX7ygxwgCSlZ6IRSV5IWcOxvJMMBKGYuUHdc7jIkzYNhsAahu7oNfJXTAiAOBy\nw29QAoADJ1rx3O/24eO93m1EfAUKblBiDNic+LTq+pKrr+rjWWkmTBiTev3rdJPfsWalXb9mYn4a\n7E6XVzDdWdUgq/U6E0xWlk3GyrLJiswqKk+0oKK6GW9uPel3z8p7VtcLvU5LMxsScTRjEsHcMDZ+\ncJTXCJD2ksLn7IUO/xfJ1NJmZZ/QhbOSm8ekwjw8HjqNBivLprDLboB3tQYxi2aP9Yz3Wlp2zTnv\na882WLBgZi6KJ2XBnByH8bnXmwwKU9SVbEmhlpkKnasioVIkMDmdTpSVlSEzMxP//d//rcRHRpzR\noENhfrpoh1queKNO9MmdqAO3dJDD6ULlsWbsv3Zg9tvGTiyYNQYGnRa6azMFbmv2vV83sYkYgKce\n3rypo9ngVVHdzJtBMcaNHs5bImvv7IfD6cLOA+fZGaAa9l3CFUCoOaGylEp+4FJ7NQhFAtOf/vQn\n5Ofno7dXuVpkalBaNNJnOwYAKLoxHQV56XjvH2cwQAFKNm4fKqUJb7DMrGRHZT0vpbylrRd/4JST\nYoIFM8O4e2Yub89mwcxc7+Wvdiuy0kxsJ+HCPDP0Oi3vmlP1Fq+zWuEoUSQMNFnpiSgtGil5fTgD\nCDUnVI5SyQ9caq8GEXJgam1tRXl5OX784x/jnXfeUWBI6nA93dd3yZyqU5fQ0+/Ab5/6Dn780h74\nKUROrjHF63CDORFaAC5AvB5eEEqLsmVVZhAjXPoyGnRYPDsfi/0Ej8Wzx7J7WdwMPX+4JYqUSK82\nGtjByT4AACAASURBVHRYu2wGe3i4pa0X69455HNmRgFE/cKZ/KC2mRIj5FG9+OKL+OlPf6raXzBY\n/srTcJ2sa8fRs1fwTwsmhHlUsaO334n65i4kJBgwu0heaSIuqTSUwvx0yZuwWFKLkL8WJ7eOHwEd\nJ6XdFK/H3KmjsbA4DwuLPZmAcn4O4Jmx7apqCPqgrdgh8IrqJq/Dw3RYlkSbkGZMX3zxBdLS0lBQ\nUICDBw8qNaao5HS68I9DdAMI1Mm6diSbDH6v02sBJjs/M80Ep9PpVV2jIM/sc4+Em1K9fd850dnw\nvmPNkn2Teqw2/MsrX8Dpur4Iae13eJ1PEu5V7TvWLJmyvn2fJxMx0KQFqbNCJPaEY4+JITx0K2Ww\n96FCCkxff/01Pv/8c5SXl8Nms6Gnpwc//elP8corryg1vogRrtdnpiWgtV28PUNmWgJO1LX5XfYj\n4k6d83/OiHtkTKoieXtnHzb8+QgK8tLYLDjh8hizPHf3tf2iE99ewb7jLexn1NRb8PH+c4g36nnv\nA4BNW46JtrV3Ol0+s+2Yn+VwuvDx3nPsfhTgySA80xB4rUCpDDzKiIs94dhjYnAP3UqJxGHckALT\nmjVrsGbNGgDAoUOH8Pbbb8dEUAK8N4ZLi0bihbcPej35ZpgT4HZ5zuKQ4HQJutMG65KlD5csfdh/\nrAX7vm6CRqvhHXwtmZINnU7LBg8mcHADEwD8z6dn2ADkL3tOr9PgfytqccnSL3k9s7y3+/AF5I8c\nxgtMADBewRbs/hIaqFRQ9BmKB2zpHJMPwo3h5x+7jVeVOjMtAXADrVelG92RyOCmeQOemRATpL74\n6iLWrbwdRoMOpUUj8fv/PcmbCXH/mbustrJsCr46cxnW/uuHhh1ONxuUhNczhMtupng9+xkT8z2z\nOybjD7jeDVc4C+PyzsAzsRl43EDIbQHSY7WJVlWn4ETURrHANGPGDMyYMUOpj1MF4dOlcGNZammP\nqNuZ81fx8f5zWHT7WMnlOTFJJiPeWnsnnn9jP2ob5WcRCpfdrP0OlBZlsw0TmcDA7RXlr9bc9Qy8\n621YmAw8AKJFiD3XeidGDHZWHs3aiD80Y5IgdnOYNSkrwqMiStlWXodPKxv8dtAVLqslmYy487Zc\n1DYel3W9FKaZH3dGw/BXwYG5sZ+qa+OVbOJm4MkpQhwIpYIJFXgNXDiTH+SIRFVyCkwSxG4Ot950\nAwx6rewnbBI6btVrJbV3+e6XdVthBm6dkCG5jFZxtJF3aDYzzYTFs8eKFkAVLrsV5pl5mXqB3Jyl\n2r8HIyvdJLsCuRLBxGZ3YuMHR1VRNimahDP5QY5IVCWnwBSAv+w5S0FpkNw+JQuTx41AadFI3r7I\nYNFqNZI3S6NBh/96vNirKoSvQ6zchASH04U3OZ1thTdnX5l1vs7Xca8Tvn9l2RRegkVWeiI2rC6V\nFVyUqMGnZEAdaij5gbDmT8/B1vI63vLHgI2C0mBputKDgrw0GA06bFg9B4+/tMcrey83OwmWTpti\nWX1ch2suobW9B0fPXgHgvXwltyoE93rmRs4kNfi6NpBSQWL7VWLvj2T9OqmAKrX0abM7sbOqgS2W\nK3W2jMQmCkwSjAYdFswaw6ulRgZPQ3M33tx6Enu/bsK6lbfjoTtvwmbOLMNzjXjzQV9SEo2yApnD\n6caKF/ew9fyU3AsRzogK8szsWSh/VcdLi0bij5/UsFl9png9VpZNQZLJyLtO7P3Blh8K19koqfJR\nNruT1+OqoroZ+481478eL6bgNERQYJJgsztx6CSdTVJKsEVbz5y/ik/2n4NOp0VWemJIG/iA58yU\nTqvhVW+Qwr2CKbqq59TEk3uTFEscEFY8Z4JuxdFGFE/Jhp5z3oqrorqJl64uVnlCaUrMtsSCm1RN\nw92HL3idFzwl6HQ8lEQ6+YFLrFJEOJIhKDBJ2H34gldFaBK8UCqJ/8+np2FzeD4hM82ExHg96pqC\nL/oqJyiJ2b73HJvFJ3cG5StxQKziObcSuZoy1kIt9hrppcRoFunkBy5hpYhwJUNQYBJgnm6P114R\n/X7+yJSQbookcExQAqTLEQ0G7s+WmwAgljiwq6pB1t6U2M9QelltMM8UyQ1u86fnoPxoI2/WVOin\nDmIso+SHIU5O5lBGqokCUwwy6rWwXcu4lLvUBwR3Y9++7xy7mS8MNH7HqcDMgxkzs4yo9Awt2GDH\nfd/zj92Gz49cpOSHIYoCE4e/VhdZ6Sa4pfotkIibMCYVGg1wuuGq/4s5UhIN6Or1LJWkmAzosvpf\nNtFqPC0w/J3vEcvuZFq/M2WDZk3KwoyCDHxa2cCroydVLT2UZTVfD1+BzObkfn6oS55KNlIk0YMC\nUwBa2qywdPT7v5AMqnGjUjB3Wg7mTR2NHQfqcb6lC9YB6X5G3I6zmWkm3hKdnKAEAC438PKfDvNK\nE52sa8fGD47yUreNBh3umTUGbwuyO51OF+9GnJVu8iruWjIl2+cNPZiZib+HL+5sLhjBnnlS4qxU\nrFJT8oNQuKpCUGDiEHu6FRqgA7aqcnNuKn7549sBAGs37ceZ896zJa3GE0gAz16F0+X2CgJKqahu\nRkV1M68/UpUgu7Mwzww3+GWDxA4QM11xxYSrtA8zm6OAoB5qSn4QCldVCApMHJ7DnKV48rXyiG6y\nE/mudntmsLsPXxANSsD1oJSZZsJtEzN5s5fWditvf0kuU7wezz82E79674jkshgzmxGmPjPp4ELc\ndPjCPDMcgrNNXMHOMALpMxaMYJMzqI+UNEp+IEgyGfH60/PYU+d2hxsHTrb4fyOJiNZ2T3NAncb/\n5l9ruxX/W1Hn9XogQWnsyBSMGpHEHmplEhFO1bWhorpZ1mcwZ5SEN+K1y2agorqJ7XrLlC1SMm1c\nrM/YuncOKRYQgk3OoHRywkWBSYTRoPNsus7Ox47KegpMKjGzIAP1LZ24dJW/z7f/mOd/n3ijFv1+\nyka1d/ou3upP34CDdzCUSUSYPz3Hqxadw+nCvKmjRWcCUjdi5mwTd5aldNq4MHlC6YAQbHJGqGel\nSOygwORHoOm8JHw6e22Aj5lRv82FmQUZqKq5FNDnZpjjec3+NBrALZEtLrUHwwSaXVUN2L7vHFra\nevHm1pM4cKKFnQk5nC5owG91EeyNWMkZBgWE69TYK0rNyQ9cbpfD/0UyUWCSYdakLPQP2ANqDkeU\nJ+xKK0Zv0GLE8HhckZk9qdMCdgc/CkkFJTHCG5lOp/VqxldR3YT503NEm/dVVDex7zUadLDZnXA4\nXbz9JqnZEAUUZam1V5Sakx8YfVYr7ikZj+TkZEU+jwKTD8J/UXVawElJeaql1QD7jokvu5riNLAO\neEccpwuw+OnNxMWtQCD892NreS3yR3pnJDmcLtFkBWGb87XLZvD2e7LSTVhcMpYOlw4StaasR0Py\nQ29PF4YNG6ZYzTz1zw8jSPgvKgUldfNVrGFAoQdObkUI4b8fLW1W7DvWgoQ4fhDZvvccBkTOVQln\nVq//rdrr83Q67ZAKSja7Ezsq67Gjsh42u/RZNBLbKDCRmGc0aIMu3Cp05vxVdulOSp8gCLW2W7Hj\nwDkU5pmvj0nv/Z/eCR/7mEPhhs3MQDdtOY5NW47j528eQI/VNmi/9/zpOZiYn8Z+TSnrkUNLeT5Q\n4oN6zZqUiSOnL8tK9bbZlZ3qnqprAwDMLMzk9UbypbW9D4tn56P01lGiqeUpiQZPcgcH0/pcrXsf\nXP6SBuQkFchZ7gzn763WlPVoSH4Qa4fBFWhFCApMEpj/kKYXZOB8Sye6rcplnJDQZKUnQoPAzh9x\nGfQamJPjvNLO5b6Xqe6wtbxONCglxOm8Zk2A5/wSs18hDEyTx6V77Y8tLhkLo0GHHZX1qtz7YPgL\nnKEEVuFyZ7h/bzUmlERD8oOwHQZXMBUhKDCJkFNlnAyu3Kxk9A840GrpQ0tbLywdwVcreOiu8dDr\ntPj757VesxRfkk163gOKWOmqcaNSRLM3uctCYmeQ/vX+InT02Hiv3T0zN5Bfa1CIzXz8JQ3ITSoQ\n/l2UaAwZC6Ih+UFpFJhE7KxqoKCkMg0t3byvQ6lZ+NnBC2zJqaw0E9xuN1ot0oEuKUGH7829Eeea\nOr1mNdxW7RPz0zBrUhZqG/kt4LktxJkb+6xJWSielAXdtSoQAFA8KQvDkozQuIGCsdf3OtRSrkdq\n5qOUcFelINGDApOAze7Ex/vqIz0MEgS56fzcOogt7VbMmpSJcaOHo+lKL+qbvWc7PX1OfPh5rdey\nnSlezwalrHQT1i6bAaNBhwMnWnhP/eNzPUkPwhv7xPw09sYunKHvO96CyhMt7JKXGvY+pGY+/gJn\nIIE13FUpSHSgwCSw+/AFWj6IUk4XgirIeuBEq99rhEFJuGTX0mZFRXUTFhbnSVaAKJ6UJXpjZ/5Z\niLvkpca9D4a/wBlKYFXz7z1YoiH5wRcmMSKQBAgKTCSmiAUl7kyKqdp99oL3Jm0gRgxP9NpLcl77\nIUaDTrQCxPBEY0g/MxRKlNopLRrJy0I0xetRWjQSgP8AQgEmeNGQ/OBLXJwRXxy5iKXDhslOgAgp\nMLW0tOCnP/0pLBYLNBoNHnzwQXz/+98P5SMjjlLEowu3rp3YbGlYohG/Xj0b7+44DafbjfE5qfjy\n6EVZn+2rxbrb5R0A3bgeAJiUcq7apk5MGJPKtudgOtTa7E5sLa/16snEbX1RWjTSq3yRXEqlm1dU\nN/FmjtZ+BztLVIIa69SpQSwkP/T2BFbOLaTApNfr8dxzz+Hmm29Gb28vvve97+H2229Hfn70tkM2\nGnR4+pGpeOyXnyl2KJOEh7D7rNhsqbPXhp9tPsDe9PdLlCzy99lCYnX7NODvFRn0Wtg5Y2ptt0Ij\nuN5md2LdO4fY8aWYDLj3O/lIMOqx9+smtvUFd6ZSfrQRJVOy2cQJfzdwtZba4YqGs1pk8IS0cDli\nxAjcfPPNAIDExETk5+fj8uXLigwskt7adpKCksqNG5WChbPk3VjFusP6kxgv/cym12lED8MKu9La\nRQIlt3PuqXoLNm05xntPl9WO3YcuwuF08YIfd6ZSU2/B5q0n2eoIg1UJIpyVEaSCJxmaFNtjamxs\nxOnTpzF58mSlPpIQSbWNXdBpm/zObIJV1yS99OBwej+0LC4ZK3ptVpqJDUZZ6SZZQbKlrRfb93o3\nNBQjNfvhLouVFo30mRXXY7Vh05ZjAMA2QBSjluzAoSaakx/i4+Og0WhgtQaWUKZIYOrt7cWqVauw\ndu1aJCYmKvGREbWybAq+OnNZVqkZEjncBAYtAKlcPO5Zo2DkZiV7naMSfr4nocJ7eW9BcS7ijZ7/\nzMTO5awsm4JvGzu8AtaVjuAbGooti4m12AA8QelH6z5j/13/6sxlvLX2Tp/BKRxLgGo5q6VG0Zr8\n0Ge1orRoPJvwEEhLjJADk91ux6pVq7BkyRLMnz8/1I9ThSSTEW+tvRObthyD0+3Gt+ctuBzCjYIE\n54bhccgfZcaRM62wOXwvrfpKEO/qtSHZZEBCnB6Xr3oO0t6QmgAN3GxZohtSE6DRAJdEDtpevNTD\nS1oQ+/y3t9eIfq/uYgfG55qhgSd5QCxAbFg9B2s2Vvg8ppAQp8PDd42HTqdF5bFmnLrW4VbsBr5L\ncECc6QklFlA2bTnmldCwacsxPP3odMmxhAPNxqRFa/ID0wojkFJEjJACk9vtxtq1a5Gfn49ly5aF\n8lGqk2Qy4ulHp2Pb3jrZG+ZEWe1dA7isUFv7bqsdCUYtu7TGBCiG8Gsup8uN9OHxWDltMhxOFy8w\n+GKK17N19Rhim/pJJiN++9RcbPzgqFcNPUbfgBNxRj0WFudhwcxcyRu4ze7E9n3n/I5NjSilnDBC\nWrg8cuQItm3bhoMHD2Lp0qVYunQpKioqlBpbxFEViMGj03q3TFe6/9XljgFe8kEgtBoNFhbnYcns\nfPzX48UoLcqWvLa0KBulRdmiS8FSm/pGgw6rH7qVl1wghbmBMwdvuTwHxPm/Y1Z6ouSy2MqyKTBx\nEj1M8XqsLJvidwxyDIVWHSQ8QpoxTZs2DWfOnFFqLKpDVSDCLy8rGTqdBsMS43Dk7JVID0eUUa/F\nj5ZM5CUUrCybAkv3gNd5t4n5aVj90K3YffiC5OxH8udwlrOcThf2HWtGjY8lO7kWlVwPYMKzQtxl\na+b3ktpfCgSlfysnmpIfmGQHAAEnPHBR5QcSUfU+kgrCLc6gxYBEr6bEeB0cLjcGbC7YHC688u5X\ncANsoNhaXouX/qUEVada4XC6oAGg02lRWjSSDSxiGYNMjyUGEyicThfc8LTGYJbn7vazZCf2PbEk\nggXXqpRLBQtm2VpJ0XB2KlpES/KDMNkBCCzhgYsCkw/zp+eg4mijrP0EEn2yRySJFm0FgN5+/tKT\n8N+BljYrnvndfvz2qbmSfYey0kxen8v0WBK7nlF+tBEvPF4suecifN/W8losLhmLu2fm+kwioGAR\nnaIl+SGUZAeh6JgfRoDN7sSuqga0dwXf94eoh1HP38MyxetR4mOfSI6Wtl7efpGwXUpLuxVZ6deP\nTwh7LAkDBaOm3oKdVQ2SP1f4vpY2KzZvPcketvW1BzVYqE05CQXNmERQo8DYInaO6f+58yb2fJEc\nhXlmtHf1obWd/6DC1MQrLRqJj/d6Z8PdM2sM4q79nEBSoM82WID/v717D2r6TPcA/g1JuIR7ghsC\nFoHYikCVrr2wqGhFUUthdKFn2rXOVDvbyzmWVru6x2J3OmNX1545PT1zurVeqqOdntnaoo5dbJ1K\nFOqt1lZl0bo9ImhDExSsolwMhJw/MGl+t5CEkN8LPJ8ZZ5DcHm7vk/d9n9/zTvettddAM6BgXitE\n5d9kMCgxiZB6J0vYoFQAIs0XJCXEhQsSU3ioCrMfSkHNd2bXvpEUQ0Ik1ix9BAA41xuplb8cs77n\n8EXRDhRKt+PU+Tw1DO5zOLD/WKPogO5vo+FgJwsq/w6M4VD8EB4ehq6uwHVgYfurDSL30tbeQNcp\nk4CSSkrpydHY8loBZ/kMAC41t3NKomM0Kpz55zV8caIJuVmGAV/P0tqBQ9/+iChNKP7yr1MRE6kG\nAPS4BSLVFkmllP4TcyaKpY9nQa365X4hCuDIWYtkL7xQtRIVzzyMaZMMiHU7SsObGZD7Mh8Ar8u5\nqfRbPs7iB1b/ddy+iYcz4lEyM9PvYgc+mjFBuHSXlaaFXhsh2gWAsClRp0GSLgrfnG/B2y/n46+f\nnuEcg97Z3YsYjRrtnT1o7+zF8XoLjtdbkChSoCDmsyOX8OiUe/Dv7x1Fe4d4hRR/yTBRFwG7vc+1\n7yMmVK1EWJiS0/DVvX+w2PKcsyP5L6fkajjFD97wpZybSr/lxXrxQyCLHpwoMUG4dHeu8Toenvgr\nSkzDgD4+Ap3dPbC2dcLa1okjdRZ8dboZN24LW0i1dwoTirWt06tTby2tnXj30zMer2srmzUeKmUI\nzjW2ocF8E9a2/qIE9yPS/T1zyP1xvfY+QfGDUhniU6LwpUKPxWo+OrtpZKPEJOHST+InnCqVCth9\n2eAgQ+rajS7wTygROyvJE2+PYv/HRek9naw0LYqmprtOr3VvY+UcyGc/lCI68+DvGWnCVa6uEdlG\nHfJzkvGnTcdcJetiZeijCc3gRj5KTBCvVuro7EHrTe6GuQKgpMSYwR6bJbZkGxOpFl2ua++wQYH+\nk2qB/t+HRXPvQ3RU+IDv2s81tOJcQ6vkzMO9KIF/Wu2BE02c66gsbZ2c4zT8qa7zpUKPtc7fLM7g\nhhJrxQ/u3R2AwXV4kEKJCeLVSlVHGtH493Oc+1FKGnnm5o7Dp6aLrhmKJlyF/3n1UXywr160pZCD\n9/GVlttYWTiRcx+xGdBA7Yn4FWzuH19oElYNpo+NxYKZ412vJ7U3JLXc5UuFHpV+y4ulzg9i3R0A\n/zs8SKHEdBd/YCialobj9T/h+ybfloXI8NLQfFNw7MPRup+QZUwQJBNliHeNZd0H8nMNrZJJyduZ\nx4RUreA5MtN0HmcI3ix3+VLOzVLpN2szuKHGUvHDUBQ6iGFnfsiYULUSb74w1WMXaTL01Cph1/FA\nSdRp0PCjcC/xb1/+gNysRGSlaTmf5yeliDAlxt8TJ1pC7RzIs4wJguefOtmAF0sncQoiPJViz8tN\nRaZbLJlpWszLTfX4uJF8VLkz8b9YOonzfSQjB82Y3Igtfbz85K9Fu0iT4DAmx0EXF+7zmViJ2giM\nM8Tg63MtgttiI0Nxs8Mmee1Re4cNf/zrEcRHhXl8jdjIUNcBgVIb8GL9Fn9uv+P6/fJ2ZrP2+TzO\n7yYApgsAhrpqjqUZHAk8Skx38QeImu/MmDY5CUpliOvU0W5bL7441uT3mT5Eml4bAWNyLFraOtHg\n1lj1wuWfkR/v+6zVer0Lmgjhr3e0RoWbXhyz7iw/H+g1nKQ24EPVSuRNTuIkpvON11339XYjnz8Q\n7z/W6PFxci53UdVcYAWz+IFf2MA3FIUOYigx3cUfIM43XucccVA8LR2PT+3/5+mkUeKflutd+O2j\n9wIANlbWcW7rcziQmaZ1/TwiwpToumMXfMx3qVl4pIYCgVkaNCREen1Wl6fuD0NFzoKF0VY1N9SC\nVfwgVdjAF+hCBzGUmLzg7N78ty9/wCSjDr9fcD8t7w2BuovXsKwsR9AH7shZC2I0oVj8WAYuNd/k\nLOt13bEjLSlG8vgKd4YEjeB0V6fcLD2arLdcs6TMNC0UEB53YdBpUDw9HY9OuUfQfUGqy4On2Qv/\nNk/P4+1zOtFy18gQrOKHYBU2eEPhcDiCUgVtNptRUFCA6upqjB07Nhgv6RNfOoqHqkLwZOF9UClD\nsP9Yo6DjNPFftlGHimcexrufnhHsK4WEAHFRYbjezu3qkJ4cLTo7cpefk4SMVC02760Xvf25BdmC\ng/kASB7iB/T/znxxogl/P9Lomj1lG3Wiy1ae9lx8eR5vn1NO/L8lb74WIuQcM//0HzuClphmPzyO\nicREM6a73Jc+eu19OHb2J8kDAm29fdi5/wIy07SIjw53JSaFAghOmh+56hvasLHyLFrahMtkfX0Q\nJCUAMCREeUxMBp0GL5ZOhunbHyWX4C40XYeSl3gACHrU8ROBShnCeT5v94j4t3n7PN4+p5zouicy\nWJSY3Lj/oc/LTcV//e+3OFInXQ3GPy6BklJg+LJ/lzEuHsvKcnCpuV1yz8fhcGDttq9dP69EXQQU\nULiKWJwXwNae+Ulyo15qQ5+IYzVpDkf+Fj8MVMjAF6zCBm9QYpIQqlZi+e+m4GKzacDqLCKfm7fv\n4NC3P2Leb8Zh+93SbT7r9S5OBZ21rQu/X5Dd33CVdwGs1ExFakM/UNVvo+2iUeI9f4ofvC1k4AtG\nYYM3KDF5EKpWonh6OrZI7EvwJeo0lMREDOUSp+VuB++JqfGcyr2B9Nr7UHL3hNjBVFgGatmKlr+I\nFH+KH1gqZPAHdX4YwLzcVEEHgBCR71p+ThJmP8heUQffxHHxWFQ4QfS2kEFUUjsPzxPjcADhob4P\nsplpWsH3Xsr3TT8jN6u/o8JzC7I5nRLEunFXVv8fbnfaMPuhFGQbda7PS81UPN3P/fC9wSSTQD0P\nIcMdzZgGIHaBZB+vNU1MZCgyUrU4+M3lIEfnm9/cn4g/LHoQoWolCnPHofw/D3MuNvW3U3e2UYeV\ni6YIns9dt80uWq7t3q3bXX5OEl5+8tcA4PV1YxfNP2Pl4ocAAHNzU3HgRBMuNF2H3eEQXBTd3tmD\nFf9dg3f/MMurmQrNaAgJHkpMA7D12PFPke7O7to7bNi8tx4xbsdcDyRRp8GGf5uGw6fNqPnuR7Tf\ntqH1prDiLJBy7vuVazDVxkZg2+uF+OO7tbhoHvgaICnTJhuw/KkpCFUr8S9z7vO47GlMjkV6ciyn\nDNwBIDpChVtdvzRSjQhT4sXSya5YvW0LNSGVO7s69g+L6zFihwFaWjtd+0nebNTThj6Rg8VqQeed\n/j2m6MhIqNUDD9ssFTL4gxKTB75c2wT0J6gQhXczj5Lp6dDGRuC3M+/12E3Cm9NV3UWGK9HRLeyE\nYEiIxOyHUgQlz0kJUYNKTCEKhSuBzMtNxXG3ZOB+4B3Qf6GsIUG4rMavHOq6Y0ftmWZXEnDOVjzN\nnJyNTZ34xQq23j6EhyrRbRPvEkEIqyI1EYiO7P+7SdE5kJUxzqvHsVLI4A9KTB7wBzdvLJ6fgT01\nDaIHzblT3m1TM1Dyk0pKYgkrK02LNUsfwZdfX8Gnh35wxWBI0ODtl/MBCBt/rlw0BacuXOUkEF+4\nz1L4y135OcnYWHmWk0wsrZ2IiQxFu9uSn9iR54KvV6ShblaaFnmTkwQXvkp5au4EfHG8ybWcSJVv\nZDiIiYlDXHz//mZ0tG3YFjT4YtCJqba2FuvWrUNfXx/Kysrw3HPPBSKuYcP9gs1sow4l+eNRkj/e\n47t7TbgK+TnJALxLfu57M4YEDYzJsTjC64rgvqS28NHxmPNICjZWngUAvFg6GVGaUNHGnyfOWfFB\nxRysef8oGpo9z5wMOg36HA7Xia/8WQogXO4SO9fo/vE6j93CpRKGL/s8YuXXzl6HtE9ECNsGlZjs\ndjvWrl2L7du3Q6/Xo6ysDAUFBTAajYGKT1b8wY3fP83ZPsf9GGznQCc2IDt1dvdylqr4+MmO/xoH\nv7kiSEz3jx/DaZXj3sft+q07Hi8GjdKE4q2X8iVnbtMmGXD/vWM4bXr4X68UsQSxrCwHN2/bRF/L\nWfTg6TRVb/eDpJIY7RMRwrZBJaa6ujqkpKS4et8VFRWhurp6xCQmscENEA7MYgMdf0CWIjZwiyU7\n99cY6GJMfy4GdX6tB040Yd9XlzjNTJf/bopkm56BSCUIqT2jLGNCwGYxVKxARoLO9jaEqfuX/kPi\n4mSOJjgGlZhaWlpgMBhc/9fr9airq/PwiOFHbHDz9R07v/eeWELwJtmJPbf7Y3yJSexx/RcUTyby\n7AAAB+NJREFUGwXNTAebKMS+HrE9I9rzIURo3oxJSE7uX/r3pcXQcDaoxDRavkn+4vfe85QQfH1n\n7+kxA82MBnqtYM006NogQgamUCgQInZV/wg2qMSk1+thsfyy12G1WqHX6wcd1EgUzGWl4TTg03Ib\nIYRvUGk4Ozsbly9fhtlshs1mw/79+1FQUBCo2MggUHsbQshwNagZk0qlwuuvv45nn33WVS4+Ugof\nCCGEyGPQ1zHNmDEDM2bMCEQshBBCCHUXJ4QQwhZKTIQQQphCiYkQQghTKDERQghhCiUmQgghTKHE\nRAghhCmUmAghhDCFEhMhhBCmUGIihBDCFEpMhBBCmEKJiRBCCFMoMRFCCGEKJSZCCCFMocRECCGE\nKZSYCCGEMIUSEyGEEKZQYiKEEMIUSkyEEEKYQomJEEIIUygxEUIIYQolJkIIIUyhxEQIIYQplJgI\nIYQwhRITIYQQplBiIoQQwhRKTIQQQphCiYkQQghTKDERQghhisrfB27YsAGHDx+GWq1GSkoK1q9f\nj+jo6EDGRgghZBTye8Y0bdo0VFVVYd++fUhNTcWmTZsCGRchhJBRyu/ENHXqVISE9D988uTJsFqt\nAQuKEELI6OX3Up67yspKFBUVebyP3W4HAEpghJBRLzExESpVQIbfEcnjd2bJkiVobW0VfH758uWY\nNWsWAGDjxo1Qq9UoLi72+ELXrl0DACxatMjfWAkhZESorq7G2LFj5Q6DWQqHw+Hw98G7d+/Grl27\nsGPHDoSFhXm8b3d3N+rr6zFmzBgolUp/X5IQQoY9b2ZMvb29sFqto3J25Xdiqq2txYYNG/Dhhx9C\nq9UGOi5CCCGjlN+JqbCwED09PYiNjQUA5OTk4I033ghkbIQQQkahQS3lEUIIIYFGnR8IIYQwhRIT\nIYQQplBiIoQQwpSgJ6YNGzZg/vz5KCkpwbJly3Dr1q1ghyCqtrYW8+bNQ2FhITZv3ix3OBwWiwWL\nFy9GUVERHn/8cezcuVPukETZ7XYsWLAAL7zwgtyhCLS3t6O8vBzz58/HY489hjNnzsgdksCmTZtQ\nVFSE4uJivPrqq7DZbLLGs3r1auTl5XGuUbxx4waWLFmCuXPnYunSpWhvb2cqPpbGF7H4nLZt24aM\njAzcuHFDhsjYF/TExGKPPbvdjrVr12Lr1q2oqqpCVVUVGhoa5A7LRaVS4bXXXkNVVRU+/vhjfPTR\nR0zF57Rz504YjUa5wxD15z//Gfn5+fj888+xb98+5uI0m83YtWsX9uzZg88++wx2ux1VVVWyxlRa\nWoqtW7dyPrd582bk5eXhwIEDyM3NlfVNnFh8LI0vYvEB/W80jx49iqSkJBmiGh6CnphY7LFXV1eH\nlJQUjB07Fmq1GkVFRaiurpY7LJcxY8Zg4sSJAIDIyEgYjUZcvXpV5qi4rFYrampq8MQTT8gdisCt\nW7dw6tQplJWVAehP9Kx1wo+KioJKpUJXVxd6e3vR3d0NvV4va0wPPvggYmJiOJ8zmUxYuHAhAGDh\nwoU4ePCgHKEBEI+PpfFFLD4AWL9+PVauXClDRMOHrHtMlZWVmDFjhpwhAABaWlpgMBhc/9fr9Whp\naZExImlmsxnff/89Jk2aJHcoHOvWrcOqVatcgwJLzGYztFotVq9ejYULF2LNmjXo6uqSOyyOuLg4\nLF26FDNnzsT06dMRHR2NvLw8ucMSaGtrQ0JCAgAgISEBbW1tMkckjZXxxd3BgweRmJiIjIwMuUNh\n2pCMIkuWLEFxcbHgn8lkct3H2x57waBQKOQOwSsdHR0oLy9HRUUFIiMj5Q7H5dChQ9DpdMjMzASL\nl8X19vbi/PnzeOqpp7Bnzx5EREQwt4945coV7NixAyaTCV999RU6Ozuxb98+ucPySKFQMPu3w9L4\n4tTV1YVNmzahvLzc9TkW/15YMCQNmLZv3+7x9t27d6OmpgY7duwYipf3mV6vh8Vicf3farXKvozC\n19PTg/LycpSUlGD27Nlyh8Nx+vRpmEwm1NTUwGaz4fbt21i1ahXeeustuUMD0N+XTK/Xu2aZc+fO\nxZYtW2SOiqu+vh4PPPAA4uPjAQBz5szB6dOnUVJSInNkXDqdDteuXcOYMWNw9epVJtuRsTa+OF25\ncgXNzc2un2lLSwtKS0vxySefQKfTyRwdW4K+7lJbW4sPPvgA77333oCNX4MlOzsbly9fhtlshs1m\nw/79+1FQUCB3WC4OhwMVFRUwGo145pln5A5HYMWKFaipqYHJZMLbb7+N3NxcZpIS0L9HZzAY0NjY\nCAA4fvw4xo8fL3NUXOnp6Th79iy6u7vhcDiYjBEAZs2ahT179gAA9u7dy9ybJBbHF6cJEybg2LFj\nMJlMMJlM0Ov12L17NyUlEUFvScRqj72amhqsW7cOfX19KCsrw/PPPy93SC6nTp3C008/jQkTJriW\nTlasWIH8/HyZIxM6efIktm3bhvfff1/uUDguXLiAiooK9PT0ICUlBevXr2euAGLLli3Yu3cvQkJC\nkJmZiTfffBNqtVq2eFasWIGTJ0/ixo0b0Ol0KC8vR0FBAV555RVYLBYkJyfjnXfeEd3glyO+l156\nCZs3b2ZmfBH7/pWWlrpuLygoQGVlJeLi4mSJj2XUK48QQghT2CuhIoQQMqpRYiKEEMIUSkyEEEKY\nQomJEEIIUygxEUIIYQolJkIIIUyhxEQIIYQp/w+Es8XfrCaPrAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1151988d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with sns.axes_style(\"white\"):\n",
    "    sns.jointplot(x, y);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaYAAAGpCAYAAADGJ5LWAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3XmQbGdd+P/36bP2PvvcexMCCQlElkD08tOKYCRhNwmE\nBCqURjZJaZVGTUFpsFD/QK+oBUgVRRFxwRSoSAiVCAoSvgSVrRBiQBaF3Cw3d5uZnu4+vZy1z++P\n0+dMz0zPTM9Mz0zPzOdVlSLp6el+Zu7l+fTzPJ/n81GiKIoQQgghRkRmrwcghBBC9JLAJIQQYqRI\nYBJCCDFSJDAJIYQYKRKYhBBCjBQJTEIIIUaKBCYhhBAjRQKTEEKIkaLt9QDE+jqdDrZtr3q8WCyS\nycjnCiHEwSOBacTZts19X/oeuVw+fazRsHnxTz2Fcrm87LkSrIQQB4EEpn0gl8uTL5TS/242bT73\n1R8zMTGZPtZqNbnh55+1KlgJIcR+I4Fpn8pmlwcrIYQ4KCQwjYi1zpJqtRpSZ1cIcZhIYBoR/c6S\nAObnzpEvlCkU92hgQgixyyQwjZCVZ0kQnycJIcRhIoHpgOh0OtRqtVWPS6aeEGK/kcB0QLTbTT73\n1UXJ1BNC7HsSmA4QydQTQhwEEpj2QL8MPMm+E0KImASmPdAvA0+y74QQIiaBaY/0q+YwbJIQIYTY\njyQw7bC93LaThAghxH4kgWmH7fW23cqECFlFCSFGnQSmXbAb23aDklWUEGLUSWA6hAZdRYGspIQQ\nu08Ck+i7igJZSQkh9oYEJgH0v5wr51FCiL0ggUmsSc6jhBB7QQKTWJeUORJC7DYJTEMkpYaEEGL7\nJDAN0V7fWdoNcu4khNhpEpiGbJTuLO0EOXcSQuw0CUxi0+TcSQixk2TvRQghxEiRFZPYNjl3EkIM\nkwQmsW1y7iSEGCYJTGIo5NxJCDEsss8ihBBipEhgEkIIMVJkK0/sCEmIEEJslQQmsSMkIUIIsVUS\nmLZI6uJtTBIihBBbIYFpiw5DXbxhk+09IcQgJDBtw0Gvizdssr0nhBiEBCaxq1Zu78kqSgixkgQm\nsadkFSWEWEkCk9hzkiQhhOgleyVCCCFGiqyYBiCp4btrrXMnkLMnIQ4DCUwDkNTw3dXv3Amg0bB5\n8U89ZdXZkwQrIQ4WCUwDktTw3dXv3KnZtPncV3+8LGBJsBLi4JHAJPaVlQGrX7CSrD4h9jcJTGLf\nk7tRQhwsEpjEgdPvjKrfll+n0wFYFqz6PZaQwCbE7pDAJA6kQbb85ufOkVG1DR8D2R4UYjdJYBKH\nRr9glcnoGz4mhNhdsi8hhBBipMiKSYgBSEKFELtHAtMKD33nh9Qa7rLHAq8J5Pt/gzgUdiKhYmVQ\n61dhpN/zhDjoJDCtUG24OKy42NlYBEMC02E3zISKfkGtVqvx4LdOkcsX0sfWSrqQICYOMglMQmzD\nVhMq1gpq+UJ5oDtZ/YLYdlZwm1npDfs1JW1frLRrgSkIAs6ePbtbb7dlC3NnqLdPLXssbNu0oxrZ\nbC59rFKZJ5NRcVr1HXtst95n1N571Mazk++jRGH6WK26gF2vrnre/37Po1havmKq1SpkcwXGxsaX\nPffue3687Lm1WoWMog7tsZ14zc28t+s6XH38YorFnS1SudOvf+TIETRN1gVrUaJdKpF96tQprr32\n2t14KyGEGGkPPPAAF1544V4PY2TtWmDaLysmIYTYabJiWt+uBSYhhBBiEHKCKIQQYqRIYBJCCDFS\nJDAJIYQYKRKYhBBCjJSBAtOdd97JVVddxfXXX7/s8bvvvptXvvKVXHfddfzZn/3ZjgxQCCHE4TJQ\nvuJNN93Erbfeyu/8zu+kj33ta1/ji1/8Ivfddx+6rlOpVHZskEIIIQ6PgVZMx48fp1RaXj/u7//+\n77ntttvQdR2AiYmJ4Y9OCCHEobPlM6bHHnuMb37zm7z+9a/n1ltv5Tvf+c66zw+CgFOnThEEwVbf\nUgghDo3DPGduOTCFYUitVuMTn/gE73jHO/it3/qtdZ9/9uxZrr32Wqn+IIQQAzjMc+aWA9Ps7Cwv\ne9nLALjiiivIZDIsLi4ObWBCCCEOpy0Hppe85CV87WtfA+DkyZP4vs/4+PgG3yWEEEKsb6CsvDvu\nuINvfOMbVKtVrr76am6//XZuuukm3vnOd3L99dej6zrvec97dnqsQgghDoGBAtN73/vevo/L3SUh\nhBDDJpUfhBBCjBQJTEIIIUaKBCYhhBAjRQKTEEKIkSKBSQghxEiRpvNCHHLvfve7+fKXv4xlWfzJ\nn/wJz3rWs1Y954knnuCOO+6gVqvx7Gc/mz/90z9N62Su9f3XXHMN+XweVVXRNI1PfvKTAPz2b/82\nJ0+eBKBer1Mqlfj0pz+9Sz/tki9/+cv88R//MZ1Oh5tvvpnbbrut7/O+/vWvc+LECYIgYHx8nLvv\nvhuAj370o3zyk58kiiJe97rX8cY3vnE3h3+wRbvkiSeeiJ7xjGdETzzxxG69pRB7KgiCHXndMAyH\n9lpf+tKXol/5lV+JoiiKHnrooeh1r3td3+fdfvvt0Wc+85koiqLo93//96OPf/zjG37/i1/84mhx\ncXHd9/+TP/mT6IMf/OC2f47NCoIgeslLXhI98cQTked50Q033BD96Ec/WvW8Wq0WvepVr4rOnDkT\nRVEULSwsRFEURT/84Q+j6667LnIcJwqCIHrTm94UPfbYY0Md42GeM2UrTxx6p06d4hWveAVvf/vb\nedWrXsXtt9+O4zgAfPe73+XWW2/lta99LW9961uZm5sD4BOf+AQ333wzr371q5c9/3d/93f5/d//\nfV7/+tfzZ3/2Z3zjG9/gNa95Da95zWu48cYbabVaRFHEe97zHq6//nquv/56PvvZzwLxJ/Nbb72V\n22+/nVe+8pW8/e1vT8d4zTXX8Od//ue89rWv5V//9V+H9rM/8MAD3HjjjQA873nPo16vMz8/v+w5\nURTx9a9/nVe84hUA3HjjjXzhC18Y6PujKFrzvaMo4l/+5V+47rrrADh37tyaq5Yrr7ySEydOcN11\n1/GmN71p2212Hn74YS666CIuvPBCdF3nF37hF3jggQdWPe/+++/nZS97GUeOHAGWuig88sgjXHHF\nFZimiaqqvOAFL+Dzn//8tsYklshWnhDAo48+yokTJ7jyyit55zvfycc//nF++Zd/mXe/+9186EMf\nYnx8nM9+9rO8733v44//+I952ctexutf/3oA3v/+9/PJT36SX/qlXwLg/Pnz/OM//iOKovCrv/qr\n/MEf/AFXXnkl7XYbwzD4/Oc/zw9/+EPuu+8+KpUKN998My94wQsA+P73v89nPvMZZmZmeMMb3sC3\nvvUtfvInfxKA8fFxPvWpT60a+/33389f/dVfrXr8qU99Kn/xF3+x7s99/vz5dNIFOHLkCGfPnmVq\naip9bHFxkVKpRCYTf46dnZ3l/Pnza37/uXPnmJqaQlEU3vzmN5PJZLjlllvS31fim9/8JpOTk1x0\n0UXp69511119x9lut3nuc5/LnXfeyQc/+EE++MEP8q53vWvLv4dz585x9OjR9L9nZ2d5+OGHV33v\nY489RhAE3HrrrTSbTX75l3+Z17zmNVx22WW8733vo1qtYpomDz74IM997nP7jl1sngQmIYCjR49y\n5ZVXAnDDDTdw991386IXvYj/+7//481vfjMQV9SfmZkB4H//9395//vfj23btFotXvSiFwGgKAqv\neMUrUBQFgJ/8yZ/kxIkTXH/99bzsZS9jdnaWb33rW1x33XUoisLk5CQveMEL+M53vkOhUOCKK65g\ndnYWgMsvv5wnn3wyDUyvetWr+o49WXlt1cpVTTL2rX5/4uMf/zizs7NUKhXe/OY3c8kll3D8+PH0\n6//8z/888LgzmUz6899www38xm/8xqrnbOb3MOjPGAQB3/ve9/jbv/1b2u02t9xyC89//vN5+tOf\nztve9jbe8pa3kMvl+Imf+Ik0cIvtk8AkBMsnqiiKUBSFKIq47LLL+Id/+IdVz//d3/1dPvShD/HM\nZz6Te++9l2984xvp17LZbPrvt912Gy9+8Yv50pe+xBve8AY+8pGPpO/R7/0Nw0gfU1WVMAz7vm6v\n++67j7/+679e9fhFF13EBz7wgWWPfexjH+Of/umfUBSFD3/4w8zMzCxrq3D27Nk0MCbGx8ep1+t0\nOh0ymQxnz55NA/R635/878TEBC996Ut5+OGH08AUBAFf+MIX+q4AB9EvsGzm9zA7O8uZM2f6jrvX\nkSNHGB8fx7IsLMvi+PHj/OAHP+BpT3saN998MzfffDMQl23rXYGJ7ZEQLwRw+vRpHnroISD+JH/8\n+HEuvvhiKpVK+rjv+/zoRz8CoNVqMT09je/73HfffWu+7uOPP85ll13G2972Np7znOfwyCOPcPz4\ncT772c/S6XSoVCp885vf5Iorrlj3PGY9N9xwA5/+9KdX/bNyMgb4xV/8RT796U9z7733MjMzw7XX\nXptmxD300EOUSqVl23gQB4Gf/umfTs+27r33Xl7ykpcArPn97XabRqOR/q7+4z/+g2c84xnpa37l\nK1/hkksuWRYMzp07x5ve9Ka+P2On00nf//777+enfuqntvV7eM5znsNjjz3GqVOn8DyPz372s1x7\n7bWrnnfttdfyX//1X4RhSLvd5uGHH+bSSy8FYGFhAYj/7vzbv/3btlatYjlZMQkBXHzxxXzsYx/j\nne98J5deeilveMMb0HWdD3zgA7z73e/Gtm3CMOSNb3wjl156Kb/5m7/J6173OiYmJnje855Hs9lM\nX6v30/zf/d3f8fWvfx1FUbjsssu4+uqr0XWdb3/727z61a8G4B3veAeTk5P8+Mc/3vWf++qrr+bB\nBx/kpS99KdlslhMnTqRfu+222/ijP/ojpqenefvb384dd9zB+9//fp71rGelK4W1vn9+fp5f//Vf\nB+It0Ouvv54XvvCF6Wv3Jj0kzp8/j6qqfceZzWZ5+OGH+dCHPsTk5CTve9/7tvVza5rGu971Lt76\n1rem6eJPf/rTAdIV8i233MLTn/50XvSiF3HDDTeQyWR43etelwam22+/nWq1iqZp/MEf/AGFQmFb\nYxJLlGirH9M26dSpU1x77bU88MADXHjhhbvxlkIM5NSpU/zar/0a999//14P5VD72Mc+xrFjx3jx\ni1+86mtXXnkl3/72t/dgVHvnMM+ZsmISQoyEX/zFX1zza5tNyBD7m5wxiUPvwgsvlNXSiPvWt761\n10MQu0gCkxBCiJEigUkIIcRIkcAkhBBipEhgEkIIMVIkMAkhhBgpEpiEEEKMFAlMQgghRooEJiGE\nECNFApMQQoiRIoFJCCHESJHAJIQQYqQMFJjuvPNOrrrqqr79Rv76r/+ayy+/nGq1OvTBCSGEOHwG\nCkw33XRT2nmz15kzZ/jP//xPjh07NvSBCSGEOJwGCkzHjx+nVCqtevzEiRO84x3vGPqghBBCHF5b\nPmP6whe+wJEjR7j88suHOR4hhBCH3JYaBbbbbT784Q/zN3/zN+lju9QIVwghxAG3pRXT448/zpNP\nPskNN9zANddcw7lz57jppptYWFgY9viEEEIcMltaMT3zmc/kK1/5Svrf11xzDZ/61KcYGxsb2sAO\nK8f1AbBMfY9HsjX7ffxCiL030Irpjjvu4JZbbuHkyZNcffXV3HPPPcu+rijKjgzusKnUHJpOQNMJ\nqNScvR7Opu338QshRsNAK6b3vve96379gQceGMpgDjPH9YlYOqeLiHBcf9+sPPb7+IUQo0MqPwgh\nhBgpEphGhGXqKCxtiSoo+2q1sd/HL4QYHVtKfhA7Y6Js7evkgf0+fiHEaJDANGL2+4S+38cvhNh7\nspUnhBBipEhgEkIIMVIkMAkhhBgpEpiEEEKMFAlMQgghRooEJiGEECNFApMQQoiRIoFJCCHESJHA\nJIQQYqRIYBJCCDFSJDAJIYQYKRKYhBBCjBQJTHvMcf20IrcQQgipLr6nKjUn7frackImytYej0gI\nIfaerJj2yFqtyIUQ4rCTwCSEEGKkSGDaI9KKXAgh+pMzpj0krciFEGI1CUx7bBgBSYKbEOIgkcC0\nz0lmnxDioJEzpn1MMvuEEAeRBCYhhBAjRQLTPiaZfUKIg2igM6Y777yTBx98kMnJSe6//34A3vOe\n9/ClL30JXde56KKLOHHiBMVicUcHK1aTzD4hxEEz0Irppptu4iMf+ciyx174whfymc98hvvuu4+n\nPe1pfPjDH96RAYqNWaY+0kFJ6gEKITZjoMB0/PhxSqXSssd+9md/lkwm/vbnPe95nD17dvijE/te\npebQdAKaTkCl5uz1cIQQ+8BQzpjuuecerr766mG8lBhxm1n9SNagEGIrtn2P6UMf+hC6rnP99dcP\nYzxihMmdKSHEbthWYPrUpz7Fgw8+yEc/+tFhjUeMqLVWP+udbVmmTssJ0++TrEEhxCC2HJi+/OUv\n81d/9VfcfffdmKY5zDGJA0SyBoUQmzVQYLrjjjv4xje+QbVa5eqrr+Y3fuM3uOuuu/B9n7e85S0A\nPP/5z+cP//APd3KsYg9tZ/UjAUkIsRkDBab3vve9qx67+eabhz4YMdpk9SOE2A1SxFVsigQkIcRO\nk5JEQgghRooEJjEypEKEEAJkK0+MCLkjJYRIyIpJ7DmpECGE6CWBSQghxEiRwCT2nPSVEkL0kjOm\nIZI7Plsnd6SEEAkJTEMih/fbJwFJCAGylTcUcngvhBDDI4FJCCHESJHANARyeC+EEMMjZ0xDIof3\nQggxHBKYhkgCkhBCbJ9s5QkhhBgpEpiEEEKMFAlMB5xU7BZC7DdyxnSAyaVfIcR+JCumA0ou/Qoh\n9isJTEIIIUaKBKYRM6wzIbn0K4TYr+SMaYQM+0xILv0KIfYjWTGNiJ06E7JMXYKSEGJfkcA0AuLt\nu2CTz5dEBiHEwSRbeXusd/uuZruUiyaw9pmQpIALIQ46CUx7aOX2XblooipgmVrfoLTWdp9s1Qkh\nDhLZyhsxawUlIYQ4LCQw7aHNpnRLCrgQ4jAYKDDdeeedXHXVVVx//fXpY9VqlTe/+c28/OUv5y1v\neQv1en3HBnmQTZQt8pZG3tIGOi/a7POFEGK/GSgw3XTTTXzkIx9Z9thdd93FVVddxec+9zl+5md+\nhrvuumtHBnhQrJdJt9mU7t1OAZcsQCHEbhooMB0/fpxSqbTssS9+8YvceOONANx444184QtfGP7o\nDohKzaHpBDSdgErN2evhbMp+HrsQYn/a8hnTwsICU1NTAExNTbGwsDC0QR0k+7mY6n4euxBi/xpK\n8oOiKCiKsvEThRBCiA1sOTBNTk4yNzcHwPnz55mYmBjaoA6S/ZRJt/IsaT+NXQhxcGw5MF1zzTXc\ne++9AHz605/mJS95ydAGddDsh0y6tc6S9sPYhRAHy0CB6Y477uCWW27h5MmTXH311dxzzz3cdttt\nfOUrX+HlL385X/va17jtttt2eqwja5CstVEuprrRWdIoj10IcfAMVJLove99b9/H//Zv/3aYY9mX\ndrp23UZtK6SthRDioJFaeduw07XrNgp6wwqKlqnTcsL0teQsSQixlyQw7YBhrGI2CnrDDorSVFAI\nMSokMG1Dv5VG73/vt7YUEpDWJkFbiN0jRVy3qTdrLWepQ7uQulGqtqRy7x6pfiHE7pIV0xD0bq8N\n00bba8PafpPVwNqkB5YQu08C0xBtJYlgo6Cw0fevDIprNRhc62vSEVeI0RZF0cZPOmAkMA3ZZlYx\nwwoK673Oel+T1cDGJGNR7LVGo7HXQ9h1Eph2wCAT13pBYTNbaxu9jgSe7ZOMRSF2lwSmEZOscBwv\nQMHl2HRh1XOGNUnKamBw8nsRYvdIYNoj/YICxKuaqu2k65zT8zbHporp9/XbmlsruAwSeGQ1IIQY\nNRKY9tDKoOC4Po4XsOyoM2LDrbn1gssggUcCkhBilEhg2mOr7ya56X8rKJjG8j8i1wsAVj2+XnDZ\nbmagEGLvFAqrt/MPOglMI+bYdIHT8zZEcfDp3X5rOSFtN15Rtd2Q8aK17WAi6eJCjLbD2IRVKj+M\noGNTRXKmhqqQBopkG2+saJE1NSxTJWep23ofaZ0+XIO0PxFCbExWTLtsrW2z3sfjVUysUnNWrWIs\nQ/7YdspWtzVl5SnE8MgMt4vWmrx6H6/YDqa+9MfSe/doZYad4wY4bsBYKbul8SSv2fbiyThrHO6G\ngFsNLnJfTOwkqfwgdsx622a9jxOB4wV9V0W9GXan55p0kmBWd7nkwrEtj+3w7WCvJsFFjKrDWPlB\nzpiGYJhnC0nCQ6JfVXHHDdKgBNAholpvb/q9ksnYNDRMQ9vTM6bkd7gfz2mk0rsQwyUrpm0adPtn\nvcuuKx8/Nl04VCncye+warvQTfDY7XOa7VbBkIvKQgyPBKZt2Oz2T+/klXy/Zep9J7X1JrexUpZK\n3U1XTRmU9JxpM5PjKJQkSn6Hrhek40i2Mnd7K227wUUCkhDDIYFply1l3S1fZW12UrvkwrF0+y4J\nSls5vN+tT/r7ZTUx6uMTh0+n09nrIew6CUzbsJkVR+9KaViH7GOl7LIzmUFet1+A2OnJeL2AmfwO\nTUOj7YZAhLXiYrEQ4nCRwLRNg6w4eidm1wsxjfUvxm6ln9Mgr5s83/UCUJxlxWG3M46NXmOjgJn8\nDvPW0l/HzTY8FOKgymQOX46aBKYhWG+iXDkxm4aK6wfpXaWVK4NBt+M2+7rJ86u2m37f6blG37Ya\nmxnHsOxWU0UhxOiTwLQHJorLt7ISgyZTxNt3wcCvm+hNMNjo9Ye13TiMBAu5YyTE4SKBaRO2spU0\n7My33pVDzXYpF00cL8D1A/JWIX3tvll+ipO+jsLwShtt9HvZyQQL2d4TB51t23Q6nUO1pSeBaUDb\n2Upaa2LuFzwq9XirrV8CwMqVQ7loUms6OE4Hw8jw5FyD8WKcoddvrMemipyea6z5+onNBNPN3OPq\nJ1n9Waa2br+ofuOR7T1xGHz1O2d45jNtyuXyXg9l12w7MH34wx/mvvvuI5PJ8IxnPIMTJ05gGMYw\nxjYytrOVtNYn+n6Tam9ygqKwYXKC6wUQgWFkuuOCxUabbLeSQ7+xDnp5d5BVzna32Co1h0W7TUQc\nbMaL1prBpV9TRdneE4dBPp/f6yHsum2tDU+dOsUnPvEJ7r33Xu6//37CMOQzn/nMsMa2LziuT7Xe\n7ltOp1JzaDoBTSegUnOWfc/KSbVab7Not2m7AZ0I2k6wqjTPytI3yb+6XripMVvmYMVa13veWudc\ng3Jcn7bnp7+FiAjHW78c0aDjFkLsb9taMRUKBTRNo91uk8lkcByH2dnZYY1tZKy3lZR84rcbHqWC\ngWVquH6DnKHRiVhz5bLSypbqEXS3uNZula6g0HZCXC/E8QLGCibjheVbeVs901pvtbTynMsy4zR1\naxerk49C1QohxM7YVmAaGxvjLW95Cz//8z+PZVm88IUv5KqrrhrW2EZKv62k5BO/54V0iJhbbOH5\nHRw/xDQyFLMG5YLFWNFc9lr9JtWxokXFrnW35tTuRNv/j6d3K2usaJI1VVwvYLxoMVZaaiyYPHez\nHn1ykQgoFVbXrOu7heYFq1q9b8QydbJGiNPtyKugbDqwSX06cRhUq4vUajWKxeKhSYDY1k/5+OOP\n89GPfpQvfvGL/Pu//zutVov77rtvWGMbOettJXl+SKXm0Gi5uF53FePHKxnXC1Z9op8oW+Qtjbyl\nMVGOA4Cpq91A19lU23TT0CgVVgek3gy9QSt2f/+RBRZsl4rt8viZerrS6ydZ5VmGhrWF6uQTZYsL\npgtMlSwumM5vKXnhsGzv7ceq62I4DMPg//3XE9i2vddD2TXbCkzf/e53ufLKKxkfH0fTNF760pfy\n7W9/e1hjG2nxJ34dhXiF4/kddD2DrsfbWrqmxhO2qZIztb6TbjKp9rZNHyualIsGGWX9SX7leVPN\ndgkjqNQdTs8v/QVe65wLVk921Xp7WTsNxw+YqzRXvW+t4VJtxK+loGx6tbTy9cZK2UMRXLZqvT9D\ncfBNTs1SKKyfCHXQbCswXXLJJfz3f/83juMQRRFf/epXufTSS4c1tpHX+4n/eZdOceF0kWLOpJgz\nUBSwdJXxQnbDDrOOG+B4cSJBXFU7YNF2qNQdKjVnzU/LyapLVeLU8art0nIDWk7A6bnGus0JV052\njut3t+TiwFpvejjds6uWs5Rc8cipKp0ownVD6g2X8Z5LvXLOM3zr/RkKcVBt64zp8ssv59WvfjU3\n3XQTmUyGZz3rWbz+9a8f1tj2hd6tpE6kUCr6uF5ABjgyVdhwoo4TCcBxw/Q+T73hUSwYtNyAcwst\nZiZzWIbW965O8vqVutNnAuufNbdyslu02zhe/FdhfrFNMW/g+iEZFJ5ypJxmDTreUoNCoxvAMkqU\nnoUd1KAk51hC7K5t32N629vextve9rZhjGXfiw/juxlqA95xSgLEWNHE9QI8P6BYiO+BJUkVtYYL\nBdbsUbRWVQfLjINZrRG3xygXkp5NSwErOSeqNlwMXWVqPEur5XF0IpeeW1W7mXeOF1DvZh+uev8D\naq8v8Ur2oVisLGBm23Q6T9nroeyaw5HisYu2cxhvGhpjBav3phJ2yyOKoO0GVO04+PTb2psoWmQU\nhYwCWXOpqkPVdmi5IS035LEzNZpOQBjFZ1IJz+tg6EuVySfHc5jdVZDrBSStKMYKFhDhde9N9TYo\n3IzNHuTv1cH/VrfRhj3elYky4nDpdAI64dbvDO5HUpJol6zVB2lV2njJohMptD2/e07V+0ekULGd\ntIL4yooRUZS0v4i/niQzmIZKo+ni+CHVhsNYwaJcNFEVmCxZKAq0nKD7DvFqK2lBoSosS2546tEy\nvh93mO0NSltp1bFR9fTkOf2eP6rbazu1whq1n1PsnsmpWaxs7tCkioMEpl2x3mTV735UzlLJWSon\nT9cp5g0U4nT0csGk9xZucvbT7qakRyyd/ST3iwDqDQ/PD3G8kHrD6658SOvTHTP1VTX0EmOl7LLx\nKygcWVEwItH/AAAgAElEQVQqaautOta6dJy8nuMFOG6Y3gNLnr9WsBq2zW6jSZkkIYZDAtMOG2Sy\nShMYeib485Umuq5Sb7hEQLlg4voB5fzySbjScOh04vOothfEwYv47Chvaix2+y/puorrhxTzBo4X\nkF1xmbW3hl7LCWl2V1DJxL9WEdrkgux6P992f19uzwXeYb/fRuQSrxC77/CsDUdc74TseEG6LVcq\nmPEqRoFjk4Vlq5kkUCkoabUIz4uz+xw3JIwga6hkTY2xoslznj5NztTI97lXlUy+cer68jbwycS/\nsqHhQt2hYjvp2ddaP1fvxN47/uTf1zuP8XrqAK5XDWMnz6E2U1tw5c8nwUxs12JlgUplgVqtRqfT\n2evh7ApZMW3BZj5Br9wOcr1wWQvxtRiGiuct/SVMJjnL1KnW4yy7iaJF0wnSjL6cqZFRSGv0xd1q\ngUhJtwAtQ0/LFiWSlVrVdnG9AMNQqdoe5aKxrGdTb/A6u9DsjjGk1vTibcEVrTT6bfH1rkD6rcyS\n31dSg9A0NFAgby21xVi5vbZbW3uDkBWWGLZOJ8A04+oPrymXD0X7CwlMm7TeecrKs6Lk35PJqmI7\nmIZGpe6A4ixra9EbwCxDw3VDZidznKs0yRBv5SW3/pOtrJYToqAQEWF2g0LOUmk6wbJuteVifE6l\nKqwKSslKLXm+YajMLbbiLD07oq64XHys3BO8HBpNlyCCuWorrXRRb7pMlpbKKK23hblR24qMEqEo\nLGvf0at38gfS4LbydfaKBCQxTJNTs0xOH6HZqO/1UHaNBKZNWG8y7Q1Yp+ealLsH9r3By9STVUzy\nvAbHpgvp6+UsNb1kO1nOUq23KXe38oA4U4/lFct7V1+9K4pEb6fa3m2wZNW1cmvM9UJK+Xjsrh9i\n6CqPnK5h6nF5pQjQdY1qrY3d8tG1bo2/Ie0wVGpOfJG3myK/VrmjlZ16hRAHhwSmIegNWG63OoLj\nBasKm9YbDo4XYhoqrheiKPQNbC0n7K4sNMJozbfF9YLuKmj5XaL0om/dTUsM9W6xff/kPFG3inmm\nW9ncNDTabthT+y8kiuKfQ1EUHDdAUeKAZRgqpp7B1TOYukoxZ2AY6rKLuxtltPX7elKaKRlLkpm3\nMlGj1368gCpbfUKsTwLTJqw1CW70qd1xA1rd1GfHC5hbbHUDhknFdpiANVdive+XNfT061Xbhe4W\nXqXm9C1VdGxaXzUJPvJklVY3gDheSKlgpGWFktVXxXZotlzqLZ9iTqeUN6g1XBSS3oQKF82WeOys\nTSlvYHYTL1rdhAtYP5sv0fv1St2N24hE0O6miCfnZiu3H9d7nWFO9jvxmntdSULsP4uVBSIytNvN\nQ1P9QQLTJvWbBHsDiGloOG6Ybp/VbBfTVGm7AYah4fgdPD/E6K6a2k6IY6x9q7vf+1XrbSxTTd+j\n37nKWundKwOg1y3UmtxpAnDmmnSiOMPPJqJcMBkrWIwXzWVbf5ahL2XwKWD2VI8Y9KzHMnVOz9tp\nsKw3XEqFOCitTNRYL1AMe/WxEwFE7jmJreh0Ajod/1BVf5DAtAUbffqfLGfTOz7lotntyRSf+2SN\nTHeVoWHoavcSrJkmMUD/7ahkm2yjLT7H9al0t/AcL0DBTc+xHDfoZs656fRYb7nMTuZpOnEV8YwS\n0SGimDeIIvD8AN8PmZ0orFq5xKvFpWDUm4QwKMf1l10aLhVMFIVVK6XdXGlIABGjpDf54bBUf5DA\ntAVrfXLvd2m26QQ47lJlBlUhDUiOF2DqKi0v4NhUse/rnp63qdVd9O522XjRImep3dJDy8+P4sQB\nn5YbcHahQal72fb0vI2l6yRVzMsFE5S4Rt7M0aXU095qEQClgoHnqYwXzW5ixhoFZLu2ctaTBFwF\nJX3vuBPv8nJHByFQbKWSRPJ9QhwmhyP8DtFmmrZZpo7rhcRtyk2yhs7MRJ6MsvRrV1Awda3vOdXp\nuQaLdZdWt6p3RMS5hQZn5htAxHylie8H6Wqt965U1P1fANcNaHvJJKeiKDBZtLj4WAm3W84oMVa0\n8P0wvdhqGRqGrg/0M+csFVWJg2/OUtd8Xu/vMuxm36VnWArL7k7thZ28KLteQdbeS8LSHFAcZrJi\n2oStfHLPmSqO52MZGlkzrupQLOhEjTi/upg34uDgBxDFmXamqTFRtFa9l930cL2QDgY/OlUFFI5F\n3a2tkkm14ayqdRd3mI3TvKt23PvJ80KqOJSiLO1uiZ+2GzJejFu8lwsmtYZLRlE4NpUf6J7Qyku6\n5aJJ1hisbp5lajheSNZUKRWsVe+xF5l3O3lRtt/r9W5VVnqyKWH/rhDFcPQmP9RqY+njxWLxwG7t\nSWAast7JbKkJYIdzlTrT47m4mGpPvbd6wyWTgaijUGvEz1dsD8eLyw1ZxlJ3W98PMHSVhWoLp1sV\n4vSCjaGqnK9qGJpKFZexgomiaJQLZnrxNum7VG94JIc6LbfB7GQ+ff2MErFQX6qtF0XLezet9zMn\nl3STluuRDY4RkLPUgSZU01DXbdE+aKDYajBZq/r7btioPqA43JLkB9M0+Pr3K2QyVVqtJjf8/LMO\nbBUI+Zu/CRt9ck/OeGLxp95zC00cP74ftLDYYmYih+PGd5ggbmuRM7RuQOh+px/guiq1yMUyNca6\n50HjU3lOLzTT5zXbPo4TAQr5rMaRqQLZbl29i48t/YVNUtrdeb8bAOJSQhGk960gaRq4fIJMfs5k\nK3C9O0W951OuH28FxheG+2fRrax0kUzEa62IhtVSY1jft1MsQ4tX0F374W6W2DlJ8sNhIoFpk9ar\ntL1oL01wntfB9X06ETRaPucrTWYmclQbLvWmh2WqmLqKaWTSTDmAetNDUeKOspYZkGmAoWsYhkbT\nCbB0HUcPySg+hq4SBgF+JySbzeH68eRuppUe9PTcwjJ1zJ5svnirSEnPmCxDZ6Jk0XQaOOn5kkrS\nBbe3eWHy8ybvkQSZeHXmYbdcCjkD1wtpeQFj9Ncvk3Hl73VQW02QGGZixVrj3+jn6veBZ61kGCEO\nAwlMW9Bvooi355ZPcL4X0vI6LNoODSdAqzp4QUSj6XFkKkcnirfWLpgucGSywGNnayhKPDG53a06\n3w9R8MjnTUxdjXsTKRHjBZNT5xt4voKuq1RtlyOTOTw/rtDQr5rEsanisr5LNdvFceOVUxQptJzl\n51O92469ZZBOzzXSM5DlxVlVXD/ASs9HlO524NoT/Xa2zpKySlvpojtsa626Bl2NrXU/TojDSALT\nAAb55GqZGgpLV3IUYHoix+PnbHQtw1Q5S7vt4fk+hZyGH4SU82a3knectJAzVBQMHL9DvenSbHfQ\n9QzNtk+95TNZjjPmnnKkhO/HrTHOV1txeSEtZLHu8LxnzBBF8P2TC5QLRhpQ2p5PtR6lfZccN8A0\nVTrdEUdEVBvt7kXbuLq4rmdYsB2IFLJmHGzikktL23yWoS0rznpsskCl7lCzXXQjEydD+AGXHBvf\n1O9zI4+cqqZjr9RdLrlwbEsJEsNIrFivBftmVmMSiEQ/SfJDr4NeBUIC0wYG/cRrmTrjxWx6FjNR\nzOL4PtNjOQzdZaHmMFa20vVIPmt0kxFcPD+EyKXtBXhBiO+HNFs+KOAGIboaN/mzWx66rnJ+ocXF\nF5QII3D8kIVqi2LOQNdVfnxqEUPrZuE1HGbG8yTTowJ0esoXNd2li7+9WWAAhrH0f4Tziy1K3ezB\nRttD1+JtyFLBpG67HJ3Kr/iUH9+7ilPA46zA0/M2x6aKQznPSVrGJzpEnJ23GSsmbdcDLHPjdPWE\ntKoQoyxJflj22AGvAiGBaR39PgnH5YC0vhPYRNmiWo8vqeYsNZ50o6UKc/WWRykXb8kZhoofhCiZ\n+MKt54XYTR+UOISYhko+272k2/YolS1MPb6DVCoaOG7A+UoL1wvQtDhwOV4HLwjR9RBT07CMDLWm\ni6Wr6dnT8qKybnrx1/VCnta9bJskcNQbbvceUwa75RFFoGkqjZaHq2l4fgdDz9B0g2UBb6Jk4sz7\nZA0tbfVOFAeUrXafXS9w1BouqgK6HlCzXcpFM61kMWjg205AWm/Vtd8KzIrR0y/54aBXgZDAtAlV\n2yHbTSDoN+lVak43AQKaTpPxosWx6QI5U8UyM4zlTfTuRG23XEp5E8cNqTe87rlMMoFFjJfizrR2\nO14l2U2fTi5+xuNnbWYmshTzBpVaC11TyeYMFqptjO6dJYji9hVKfIs6oyylIFeWpYQrZM34L3hG\niRgrZXFcFWe+Salg4nlx4oOZlk8iTmzww/g9utUlVvZbsgydTjcKxaumrf9VW73KylKpu3SIcL2Q\nDAqlgrVuZXfY2dXQWquug7gaO2g/jxg9EpjW0ftJOJ6UlWVJAL2f9h3Xj6tjs1RxwfF8HDfObCtH\nFhRISxHNjufj57rxBO/5AcW8gddNLbdbHs22Tz6rx8VRI/CDkIyiEEVRXAkiig/+7ZaHG4Q87YIx\n6s24goKuq92AolFtODTdAAWPrKkyM5FfVr+v7cV9l3pXPhPFuPL5WNGk7Wq4XkC96WLoKkby2t20\n8/Hi6lXJsekCp+dt6HbTVVAYK1lpkInr+ClMltdPXKjW22krjN7f+yUXjqVf0/W1/xpXbAez+/X1\nGjsOw2E4Oxq11HpxMElg2kDyiVcdsFROvbF0H6naiIuRxokRSpoNp6DQduMglmx1TZRMWm5IJ4p4\n8nyDRjvA1NR01QFxkLH0DJoer66SRn7TY7m4IWA3caHe9LB0jaOTOZpuQAkTu+kBcQq448VbXvVm\n93wLuHAm7qbb9nxOz/uYukYUKbTdgKyp0Wg6TI/liYhQgJwR196LyyQ1OTJZWDUB90t5nihbnJ63\n08DWr2VHolJzaHsBbTdIW2H0srq/27Uqu8f1BJf+zNZq7CgT7GAOSs3C/UaSH0RfyfZU72TWr/Fd\nb9XuuPFdSNMNCKP4v9Vu5sNEyeTJuYBk6840NMaKFmNF+OGjCyhE5LPxGY7bClAUCPwOEHDBzBh2\nw4vPqfQ4E7BcjLvcnq80qTXi+1BRJ6LlhrhewPziUgv0ttuh2mjRiSIcL6TVDpgom5xfbDE9nksb\nGM5OaGRNlXOVFq4fks/HFdCzpppulbV7kicc3wdWT+797vSYev9gsfJ5SSKJwlI1BMvo/2eR9JLq\nvQ+Vt7S+Fc9lghX7iSQ/iHWtd7kW4oADSxW6e1c7i7ZD0kOpUnfTRnjAsk/1hq6Rz4G90GS+2mJ6\nLIdpqOmKxvdDZiZzceWISEmz6WoNlygiDUARcK7SwvF97JaHoWmU8jqeH5A1VNrd7reTZRPPj9PS\nXS/EC0JMTeXcQguIaHsBrh8yNZZNJ3PT0NISR8mKz3UDqvX2mneKNtsCvWI7tNPK45A1tbQVRr/A\n0vtnslHF81Ftxz7qZzd7UbNQHM7kh23/ZPV6ndtvv51XvvKVvOpVr+Khhx4axrhGVrJ6SvRWgW45\nIZahUy5Y3S27bnmZFaV+TCO+iJpkyvX+H3xmMk+l6tBoeQR+h8fP1ijlTGYn8pi61u0WC5auc2y6\nsFSpurvN5fohrh+nnM9Xm0A36y8IUDLxZdwwgvlqt7J3d8VTzscBqpgzqDVd5qotHj1TZ7HuoGsZ\nTs/ZPT2l4uSGhN3wCKM4/by3EnZSdWLl78j1lyqa9+89Fa+qksu+Ufd5612kddygb8DpV817verh\nvRW+d9N+qSa+XnV0IYZl2yumP/qjP+Lnfu7n+MAHPkAQBLTb7WGMa1/o98k92VLKWxqnFxrU0orf\n3cuo3eSHvKmlW3v0bCWdnW+AEmE3fZqeTwaF7/zfeXwvYHI8R7lgpe+1cvup3vTwvA4REWfnbCbH\ncthNj0bbp5DVsZsuF0wXcb34TKXR8jB0lVLexG65TI7lgHiFcm6+AUpcEeJHrSoXHSni+R1QSCek\n0/M2rhtQLBjpz5eMK/lk7XbPiJI7Rot2m6yppUkiSRPD5PfZWzS2d1U5UTKXrSh6P7mvlSI+aFv3\n5Ot7de603tbiKK6iRmks4mDaVmCybZtvfvObvOc974lfTNMoFotDGdgoG+QT9cnTNXQ9bujnuh1m\nJ/Ms2m2qDZdGy6OYM9Ozk1IhPr8ZL1pYpoYfdMhkFLSMhuv5NN2AMwsNdFMl29PaPAmCp+dtHDdg\najyL3XJpNj0umCnyxFmbCCgXLVqOz9RYNk0YiGwYL8bp6o4fV6HwvBDTVIkUBS/soGsZ/E5IGMYJ\nDzMT2WW9oyaKFo4R0HSDZYkhvdXTIV7xJNubyePJ85N7YS0nZNFup6uj5OwsWVH2BqIkaPR2CV56\nr+WBsff5K63cjh21cydJ0BCwdvJD0gLjILa/2FZgOnXqFBMTE9x555384Ac/4NnPfja/93u/Rza7\n97XLdsrKFOiVLdFbTshio03LDVDckFLBAMDzfRQFMopCIWewUG/hex3Gy1bajdbxfHKmRiGnoyxC\nEC71bOooKnPVNq4bYuga5YJBywmp1F1a3SQE1wtBUdA1lXq3SoQfhthNhwtmylh69wzG0Mga8Xsu\n2nF1Bk1XqTc8HD9godpGV1XOVxroqkqhYLBQc7jsook4o6/hUi7E/Z8UFMYKFsvPHdQ06cA0NNpu\nmP7+eu80JffCWm5A1XbT86qIiGx3RWl1A/F6PaFWJjisDox7H2TW0+/sBjZXzkgcXP2SH5IWGI7z\n5IFsf7GtMBsEAd/73vd4wxvewL333ks2m+Wuu+4a1thGziNPVuOOst2JNCIiZ6npnntGidJMMogn\nk6QTLMSTtKGrnJ1vUq25VBouZxaay97DMjWec8kMT5kpMJbTmJ7MgQJaRoFIwW558TmTAtVGO30/\n01Cpt1waTTcuX+T4TE/kiABNzaDrCooSMVmKzwguuXAMVYGsoWF17yOZhoqqKEyVLcJOSNbUsUwN\nQ1E5MpXn8bN1zi82absB3/3xHFXbZdF2OFdpLDt3WHmGM160mCzF/yR3nlbfC1u6/9X7u9hoIu5/\nXjT4563e6us71bV2EHJ2I9YyOTXLzOwFq/4plsbI5fJ7Pbwdsa0V05EjR5idneWKK64A4OUvfzl/\n+Zd/OZSBjZrT8zZtNz4fsptx1QbXi4NSkr7seHHAUogrc0fEE38GhbGiRaUe3xtqOD5EoGcy+EEH\n14/v3lg9vY6OX36EC2aKnD5vx1W+vZBMBojg0TM1Lj669AkpXm2FFHMGmUxc1SifM6jUHWbGcxRz\nBoqSSas0JO8xVrQ4M99K6875foeZiSxhB6YmcswttMhlTZ56tIjnBwR+SD5n8uScTaPtp5dtk4aC\nvckJa2UwJucmvffCTEPDMsLlCRHd30XyGitXphtVVxgke6zfVtlenums/D1JBpw4rLYVmKanpzl6\n9CgnT57k4osv5qtf/SqXXnrpsMY2Mhw3DiQK8WSmaRki4i2wY9PF9Hyi7YbYTY+FWotCzqCUN8l1\n24U3nQDTUMkoEUcm4iQDXVfJAHlT5YLp/Kr7OaamMVHOMV9tUV9oo2mZeBCKQq3kMTMevw5KhKLE\n2XKzk/Fj/3NyjqyhMlHKUm+6TI1ZtN2Aiu0w0fOzlQpG2n9prBCPJyJispTF9+KQ5XkBlbpDLqtT\na3hUay6d7u/i6FRhqR7eCutVQlgK5nEgGC9a5Cw1TX6wTJVHTi9CBOWCtewe2Fhp4/tSGwWZ3jOl\nJCDGVToGn/x3OojtdaAUYq9sOyvvXe96F29/+9vxfZ+LLrqIEydODGNcI6fthtSbLpqWwfdDxgom\nM5O5dOJwu2cv9ZaLF3RotnxmxnLohobj+emW1fR4npYbFz8F8PwO5e5Kprf8juMFtL0AU1fx/BDN\nyBD4ERERU+M5UCKypkrbjUsYjRXiRAaA//nxHGEEkRLxvUfm+IlLpuP38jp4XlzKKE5jD7vnXlAq\nxJd0fX+psd9Y0aTWcAn8kKNTeearbTw/JJ/TqNsOhmGSUSJ8P+y7fTbIpNp7FtS7Svj2/87heAGl\nvEHV9igXzKV7YOtUi2DF620k2ZIFoO5ybHqwALBbiQkSkES/5IdEkgRx0BIgth2YLr/8cu65555h\njGXExUVRI1wsQ41bpHcvqY6VsnheA6fbDlvXVLJZHdcPcDyV7IpSRrOTWYig1vQw9QxnFlp863/P\nMVHKMjWWi5MFlLjkkAJMlLM0nQDPjzPQPD9EiZY+6Scp5KahMb/YRNdVOl4Hu+XRieBHjy8yO5mj\nlDdpewHYEdakxtmFJp4foOtxgBsrmHGGmxPX77NMjVPNBlb38m2t7hJGEZqhYmUNDE3F8SOKeXVV\nqvbKiTujxBePx4pWukWXlGiKf7tRWn281nBIQlZSMqneBMvMpc/dSiLAyq67Fbu3ekR3S3SXu94K\nsZF+yQ8J0zT4f//1BK8plw9UAoRUfhjQWNGi2nCwfJ1iXqdmu92zkfgT/JGpAosNDwVwuhW5DV3r\nXkaN7/dUbReIGCta1BoupbzBqXM2J5+08cKAhbqL3fSYKGfJGhpKt99SRJwabmQyZC2dYt7ANHQU\nBcYKyz+pJxdw3SCg0fIBBdcP0qQJiKs1nK80iYgo5k1cP8DzAlCM7s9qUm84PHJqkQiYqzpUmw6G\nliEMIpQgxLR0UBSKOX1ZOni1Hge03on70TO1NACenm/xtKNlclb/7T/XC/C6RWV7kyGSe1J03yvO\n2Bs8EPRb4UwULaIovsw6SB1EIfZCv8oPvZqN+i6OZnccnLXfDrLMOBBFERTzOnYrLimUFBVNJryn\nHilTzpvMjOeYGc8zVjI5Nl1gomx1J1I1vWhqGiqNpsfJ03XslovvR9hNj2bLxw9CsqbK7GSOrJFB\nA6bKWcbHLWbGs4znTQw9QxTFl0uTS7sKCk87Ng5pbT3IZGB2Mt9dEWjLApnvh9jN+OeKmxbGhV6r\ntstiw4tr6bV8dD2DrmYgigOeH3Twgw6NbmFYiMfRdgMWbSe+JJw83nBw/aX07YiI85UGjhusyoLr\ndIvGanpc3NUy4su/Y3mLi46Uu2NzcNyQMGLgCgnrrXCSDw7JGAbteruXGXxCHHTyMXEAjutT7qlC\nkOtWLlhporx0gL8y1dkyNZrdrD6ru9I6PdfAcX28oIPddpgoWlSbLvmCwfSYwqLtEkbQQaGYN4ia\nHq7fod5s0Wp7jJezGJrGuLLUQt1xfZ5/2Qw/eGyRuWqTqKOkZ0muHzI7kcf1A7A0qg2vG9RCSnmT\nYt6k1oj7SdlND01TqdrxmVkpb9Jue2RNA9PIAAq6nsFu+fHq0FCxG16aCNF2W8xMLlWSgDgQOl7c\nuqPpBmQNPb0kDPF9JMvUOF9pcWy6gKqAYappW/ZqPa4asbIFxtLvePPBYasJBpKYIMTOkcC0Cb3F\nVpdvM8VTb2+jvERSnaDlBThut7eTG6AoCkem8titAN9vkjdUXM8nN5GDTsS5xSblvInvh2lhVs8P\nmJtvct52MHWdSs1F01X+v2fNYhoai3Ybx4sn7otmSyhRh8WmT7PloekZDC1ud35sKk/TCbjoSJHz\nlRYAs907T373nOyCmQI/eLSCZep4vku77XHpUyfiy7fdTrqmlqGc1zFNNT7z8gPc7pZd1ogvyB6b\nKlCzPapNFz8I8b2Ip8wW0+1NiCf2ar3NuYUmEXQrnwccncx3W1kkv9e4SWOvSt1NtyjXq/CwXur1\nVgNLclYm50tiJ62X/AAHswWGBKYB9JvY4tptQVpOJ6k+cHa+EbewKGXTjrb1ZtzCfHo8T66bvVZr\nunQimJnIoUQdKrZCoWDy9KeM4fshkRJXUMhgsth0efxMHZR4VdFoeUQWuF5EsWBSb3oY3Sy7jNKt\ntuD5lAom52txQoGhqdSa8RZkmpJtaJh63PG2ZrsY3fYb5ytNOhEcncrTbHlcMFNAJaJYMCCK4pp5\n3d/FzER8we//nlhMC8K6fphmGgJcdLREqeFQb8bbg0lCA8Rbc635ZnoXKzmLiu8tLUmzH/0grbyR\nFMJNrFxB9f757cQKR0oGDYesPNe3XvIDHMwWGBKYBtQ7sfUGot5P7I+fqdMhoumGnJlvUS4a1Bou\nZ+dtmm0f14+4aDaeyEt5k7YTUszrtNo6XqfDsakCdtPHMjJYerzdRwRzTzQJgg6ansEPQ1qOTwco\nZg0cJ04pr9nxtpxhxC0rLDNDreFBBFEUt92YKllpAVkFhUU7bsVuN31QOmnNuZmJPOcrLSxDo1ww\n8bwO5aJB3tQ4NlXg5Ok6bS/A0lXOVZqMFUxKeQPPi8+HkhT3JIU82b6s2XFlCr9b2DUuTxS34PD8\nkOnxHJ6n4vsB+XyciNFbJ69qO9AteeR6IRMla1U5oqRjbW+iSRI0tjLxrTVpSmbecEhw39ggyQ8H\nKVUcJPlhU5JJZ+WE5HoB9YaTVlAA6BAxt9jk+yfneWK+EaeE/+AMj5+zabshjhvy1KMl8qbG0eki\nVz5jlqwRt6eIgFI+TjefW2wzVrToAI+dqRGhQJTB9zuUCwZHJ4tYpkq5aFAumNQbbtyF9rzNfL3N\nRDlLEHbSDL/zlTZhFAeLrKmR6R4AdTqwaLvdCR0uPlZivGTieyGGkcFxQzpR/OSZiRxEpN1lf3Rq\nMU2g8P0OlqExVjTTlabjhpyrtDg914ybH/ohCzU3LlHRZegqdjM+o5qeyJOzNCZLVjfN3E/7PyUd\ndNMt0Z4kBNcLMfWlNiNJtuBaK6mNVGoOlXr3nxFuRTGIvWrnsZ61grsQsmLaJsvQsBtO2qbc0NV0\nBfXEmSoNJ6TZ8gk7EWomw3ylyaVPGcdx455EphGX9JmZzMfN/xSFmfEs5YLFXDelO4qg7Xjomk7Q\nCXna0SJ5S2O8ZPHUC8awDA1djy/loiicm7PRDRVNVTl1ts7sZJ5WywMFynmDWsPBNDTqtts904nv\nPClKPMm7flxqKWdouGZSjDUuMptRIs5XmqCApWu4foiuqTx6poqmqqCA3XZ5+gXldOIZK5o0Wi61\npqM/RE8AACAASURBVEPW0ulE0Go7lHIaxbyJ48UrolLBIGvoTJTMtDJEEvw8r4NhxPep7KZLMW92\nU8j1Za1G+nWsdbeQXu64Pos995zabkjOWqoMsZ9KBsmqROw3Epg2qV8voIi45Uej4jAxFgcl3+tw\ndLrIE3MtdE2FMD5X6aDwyKlFpsdyeH6HUsGg7Yb83+OLFPMGhpYh6q5MTEPFC+J7TFPjeTrVFkfG\nCui6iqapjBVMMigcmSryyKkqjhfyyGMVbC/gaUfL1OoOuZzO3HwT3VDRNZVTczYXTBdx3A5uEKal\nF3w/xPOSbUEXU9c4t9BKSwaBR6lg8D+PzqfbgwDTY7luh1wV3+/QcHxKeZMn5xtkDT0N0qYeB8pE\nPmek6XqlgoHvh1wwVVjWsK+3tbphxM0KiZRut902l100viyBAuKJd6miedSthhFhbqJiRPz+QZ9P\n88GGNfpGzShvOe6n4L6XBkl+SFpg9NrP1SAkMG1Bby8g01Rpu/HK5+ILyzRbHmEQYpoabS8ga6rY\nLZcwjDA0hWrDxQ1C6k2ffNag7fqgxJdgTT9DuWASETFXaeL6IYHfoRNFTJQtFGB2Kk/W0Ki3PI5O\n5jgyVUzT2R/54SINJyBC4XuPznN0vMDcYgvfD8lbBrVmg2LexOxm1ZVyBoau8d0fz5PL6hSI08Sn\nxrPUGg6GkaHWjAOqoat890dzdDpxOw4v7DAzno1XWig02j6eH9Js+5ybb2LqGcgDSoSpaxiGyuxE\nPt2+K+VMLjlWSn+nK7vTrmytbjc9SjmDetOj0fKZKFucW2iltQFX/tnkLQ3HXd4rajOTsmVq3S1D\n0jH0K7skE+n27Ifgvtc2Sn5IWmBkMtX0sVarua/bYUhg2qLk/0QLtpP2U6o1XJotD0dXcYMWdtPn\n0gvH6AQhFTtO044DB+iGihsEnJn3yOeMuEK3FzIzofH42TrnFtpUG3HhVlPLYBkqP/PcY9QaLhki\nZifjuz2n520ywKPnbKIIJsdzfP/ReTRVpVJv02h5TI3nqDbii7iqpvLIkzUumClA5HF2oQpE1G2H\nDHBsOo/ddMkacWp2kvXm+mH3XMnH8yN0XSEIOpgFFSWKsNsRfhC3de8Qd+D1vJDLnzqBZWrkrQJE\nSlohwjK0VcGo93zBcQPspk8xr3eLzMZt4fM5cGttmi0vrvfnB0yWl79O7wS3Mr28933WmwgtU2e8\nmE1XbVlD35cT535YlYzaeEbNRskPB5EEpi1IJrZKNyi5XkC96dJo+ehahnrL49xim5yh8fgZm1LB\nRNVU/KBDOW/S6n5/4McTrqln4jMUXeX8YotK3WGxG1S8sMNkycIL4oZ/x6YK6TlK1XapNVxQoLLY\nohMpLCzG95IUBc4vNCkWTOaqLToRdMKIltdirGBy+nyDC2YKtNoBfidAV1Xsls+Tc018v0M+p+F7\nHcbGLKxu+na5ZDH/RJtMRqVSdXHaAUemCnjdO0eVukMQdvD9Dp4fEEUalYbDJaU4iF5y4RjVehvo\ns0LqnoM4XsCPn6iSz8WT1Vy1xZHxXFxQ1naxmz6aFqe4KyhMFNfemus3KQ/S2TYRf5pX09faqr1e\nEciqROw3Epg2KZlAzy20aHt+fF8nUlDjYggQgR+E6JkMdtNFzSg0nQ55S6dcsjgz10BTM3G2m6ZR\nzOtYhko5b4ICqtLdump5NNpxGnWz6cc9lrImnUihXIirULhefKEVRSGXM/j+yXmCTkTW0Gi2PXJZ\nnWbLJ5vVqDddAi9kZjJPq+2h5HSa3U6vQRhhGRnqzbg6+uRYltNzTSI6mGaG8XyRY1Mm3zk5z1OP\nlnj8TJ0gDJkoF3jsbI2JooWiZMhndVzPJAjisFHM61i6tmz7bGVAgqVzkKrtYDfjQrELtTaT5SyG\nphIpS51xFSXebT82U+zJx1tb76QM63fC7WeQgq69z1v536OSeCABSewnEpg2oVpvdytfg+MHuH6Y\nbuNlTZMo8qg143TrpG+S7fhkDR3diFdMM+M5TD0TN9kz4tJGyXXVrK5hWWqaUl2123RCGCubNB2f\netOjmDNwvQDLUJmvtukQ0Wj5nJ1voEQKbdcnp2nkcyZtJ8C01PjSraahKaCrcRKCrqlkoghDVxgr\n5Tm/2KbtB0yVLCrVdvy9psZitU0nin+WCyaLnDxTw7J0igWTMOygZjL8/+y9yW5kWXqt+e1z9j6t\ndey8iyY7pTqgBhcFaFQvUGO9hMYa6BE00BNoJAh6EF1oVhKqoItbJegqlVIoItI7dtacfrc12GZ0\nugc9wjPCI9MzkwtIZJBuRh4ajXud///Xv9b1ZiTPLXUpOVkVKBn3mJJEvLYA+6YU+DWHDP16HHqu\nJMY65lVOEqIQ5OK6JVPRP09rx8OTd0vvPHyfzW7YKyHfz9v+TdIBXvu4KtIPVnhwj98cfJP44S68\nKYj4TRNC3BPTO+J6O/LiqmPQluvtEJV2wI6Js6yKCbJ1Fh20L1pEgEKl9JPFuOjkYF3geB4FB6Ox\nfP5ih1Ipj44rCiXJ8+hNV5US5zyCgEgDaQIPz2YEAtoc8pqiVdEvnu9otUVbTyZTSqVohokiUwyT\npsxLIFAoQT6v8D5QFQpC4GheUBSKTaM5muUsQ7avWmxU7PUa43N8kpBlHfMyqgYJnl1rSNKEKigS\nAkhBZmJw4sU2thNzGRV+dRF9AfMsfeviqyAS+qzOeXbRUZZRVt50mkcnR0zaIpVE6GhOm2VxyfbN\n+dLX/f4ODhdBTDw8rr/TvOVNtdugzY1RLrxS8d3jHt8V3yR+uAu3BRG/iUKIe2J6B9yWLrd9NDc1\n1jOvFPM6xxh/K7ZcIkScH3WDpsxjRlImU85WJW2vWS1T1psRbR2pTLjejvuoCgchYKwnzyRpmiCF\nQARB00wcLwoQUSGXiLhQapzbu3x7VK7Yeb9vcQWOFxVFnjJODiUFBHDeE0Tg47MZKpd4BHUZF3Bn\nlWIcDY2Iib3OeYINiBDQ2nExDXsJe8A6T5EknF93LGY5iyylGQz/9sU1x4uCQknYx6E/v2xxAbbN\niNrLxw9uEIcK4snZjGeXDdNk+f0fHrPrphgOmMWF2YN4Q6kY1Hg0zzle5K/9juLr//a02k0zRdGJ\ndmzbiR9/9FWJ7fvEwa7qVyU8uJ8j/XbiXvxwj7di2+gYsgcMg+HxWc1qlsfqxdjXpM2T9qQqYXOl\neXHZUxYKbT1KpTxYFWx6TZYlSFWw60YaE+Mj5lUGIs5arPNURbTlWS4ylouC1SxnVUeboyKTtEMk\nySJPMDZhmAzOOmazkuAcRZ5inWfUFuujIKHKcso8VljTFNuRszJDmzjPOpoXsI+4aDqDC1Ea/vSi\no8pSMpVQ5QolE4bJYa1n12nKTGKdoy4V2njmVbp3xYgRHhDblYfW55sYJ0OVSRKikq7cS7MPC8yZ\nStm1mkDg7KiCW4f8u8xxDm4QENuC7xoK+Da8Kawos9ddQW6T0F1u8+8bH8os6x73eB+4J6Z3RJ4l\nnG9iLLkP8YBdzAomY1nWBS+vu1s54YF2iGajKpP44Hl8UqFUSp5JHmSKTKZ8+XKH1nHOI4AnD2Zc\nbgasDVgbW25pGongj35wREDw5UWL1paL645u9MhUsKwLtLWkAXwimCbL6bLkYtMjBMxLxct1hwgJ\nMvU0naUs9M31zqqEWRVNZ10CJ4toYwQwjCbK21PB+abjZFGQZ5EwkwKskZCAdY6ijD9XliVMxkYH\n8iz+zJsm2g1p7W9C/w6H97OLlpfXPZlKEMBuv0sFME2OJ2cz/vPplnmdIQCjHcdnM+D1OPr4yn91\njlPkCsQrS6HboYPfBXep3W5//CZZfF/E9CEv0d7jHt8G98T0jihyydmqYjKOB0cVZZ6SCjieFzy9\n6G4SV7VxFFnKrJRYk3Pwd9u1IwgIq5KHJzWjMRwtClRqIAgentbx+TpmH4UA5+uORS1ZzEo+e7Zh\nvRvpJsc4GayNHn1BCE5WBUezmIorPMhE8Pyq5cGyRKqUtp+oCoVzARtgXigyKcgyiUwFiQBnIwFE\nYpjY9YZcJQRfEIRg3YwUuaIbHcaMLGcF7eRZzHNkmmCtpUhTlEqYlVmMhd/bFvWTJctiC+7HHy1v\nvaaKZ5cNX7zYMei4nKtUQq5SrjY9Z0fVvrI5zNWiQOJAQrcti4bJ3QQ33oUnp3OeXbQc4ty/rq12\nIJcbF/ZD9XbH49/83G2COpDFYXdrnNJ7srjHL41vI364jdtCiN8UEcQ9Mb0DDsP5QwtIECXbhwNr\nuqUoy1VKApwsS0IAlSZo70kIzKuCwVheXLeUSvLR6ZwLFe/4J+MYeo22juNljpICIaJhqbGOn3+5\nZbQOPTm89yznBb2xVFmUhHfDxIPVDJkG1ltDmUnmpaSbPGWu2O40o3E8mFcEAnWpmJeS693IcpaR\nEAnp9z89Js9TSAaEgHG0rLcjzgRSkZIkAe08626kzjPSLGFWKHJVk+yrrcm4GOinory73BPJ0bx4\nra01ToZpf/hr6wgBNrvYtutlSgiC06MSs49bN8aSKQl7YUFM7T2o9MNerfj2RdgnZ7NvnMMcqpzP\nn+9gvy0FgR88Xn6rFtmmGW/eG9fNyJPvgZh+E5Zo7/Ht8W3ED7dxEEKM49PfGBHEPTG9Iw7DecKr\nWcnJsuTZZUOWpfzX0w3aOH7wZMV8HveNzo6gzVL6wbBaFIza8eyigxA4XZVM2pNnCUbDphlQUjJO\nUfHmrGM+L0hDYNtpQGD3MyFtLN00cDSrSdModbBW8Oyi5ey4pigU1vnYdiSgVMrJUUXTjzxY5IQg\nMNrR9JoQAtebkcdnM3wQ/OyLa9o+fj8lU7SLGU9BQFVIrHWkKkEEQRCBulAIkTCvY0z5sCeRpo8q\nu0xJPn4wZzXP2TQTQgSKSVJkUU6dZ5JMSQQG7eLMSiCQacquj/58Ogh23YRSMbMJAc+vepSKd34C\nQZmnVLnciz1eb2PdJqO3ff7wcSDsU3xDzMUiik027UiRSTa7cOcu1psocsX1brplaSTI39jpep+4\nbZNV5F+d4b0L7sUTHybel/jhN6FSOuCemH4JPDmd8+yyQez3aqIEWvIv/3HF1XbCWkc7XvK//+FD\nlouM7QtNEIKyzLjeRpn0MBjqUjJZh7aebtA3LgZaO7bdiExSBLDddJzMK7btGA/6vVLOWc+8zFAi\nIU1TZJrEBdl2pOk181KxbjTaeopM0fYTxgZkmvLFRcPD4xlSpJxfR4PZdrB4AqerivN9iqyxPhqr\nPpzz8EmFe7qLi8MyZZg0p6sKYxyXVx2rZcH1xjOroiXRi+seox1VpciM52LdkYjAto1E0+9bb1VR\nU2Rqr75L+eL5lkWpqKuMttfMKxXFEATmdWzTNZ1GiECmJLt2YrH3FhQCfBA3C7SH6uZtooDbbb13\nqYS27USoY/3k39EM9niRw+4guHj7n9r7IoRYNcUl4l+2ursXT9zjQ8I9MX0N7ryjvrUFejBbzVSK\ncw6RgJQJ//lsw6LKUDJl21k2zYgIgl2nKYoUaVMYTFRRENV4X140GO2pCoXxnqM6Z15n/NeLHalM\nSYWgM5aqyDlaVDw6KWk7jUzjdXSD4eFJjXWeaTJ8fLZg24606548V1ztRupCIhPJs4uOHzxaoG1g\n24+UmaTpJoZeM5rA+TqSk7UBYwP/2++f8sPHC55fNjeWQOfrAes81ga0H5gVilF7hkmz3o5kmaQC\n6lKBEGjjWMyiaGLSkcDqIuXR6ZyqiHOkJ6c1zy7j985Vut8LSg8vE5N2N1XSTVtVRCFDlUlceF0A\nsNkNry3tHkQBLy5b+smR7edXZf6qEupHx3JWsGmiUlIg6PpIxDHYUDJq806V043oYn8Rd7XY3hch\nfBcBxL144h4fGu6J6S2468C47Xg9TpbVvODK9EzWIdN0r15LMdqjlYvODEHsCUozrxXGeibtuN50\nDJPlB0+O+NkX6/h1BfSjpSwV61ZTlZIsSUB4Pjqr+eK8IcsEx7O4nHp2VOFcvMoutew6w6JWKJny\n4rrFA81oudj2zKsCmSbMqxxtHettTyJTZJKwbQfSJInO595jnSdNk+gELqIKLs8kHz2Yc7HpIcAv\nzjuM95SFxNpACIHL9YBSINOUabKoVYWxnodHMcTwejcxaEvTxSqxVCmZUq+ly/og2LQDZZ5S7LOZ\nDvOTbTtG8clxxTi514QM34SDAGHbjTGoUdu9OSz7PKhXldBmN+yFFBnb1sTMrP3X2TQThxDCb6qc\nrrcxTXfUlklHcclr1/RbTgj3rcH3g+8qfjjgN8kN4p6Y7sBdB8ZmN5ArybA/JANwftXz0cMF55sB\nROBkEQ+peZXT9DEN1jhPlUseLCvYa/SeXrQkJOS54n/8rxfkhUQmCS5EKXUuBUIJvvjFmmRvwne9\nHZFpSuJhtDFmo+0nPnm0xJgYt65kVNglUlAqyWA8q1lOlwqch1mVxTaYTDl7MOPZRcs0WUKAdtAg\nBGUmUZnEWcfHZzMensyYnMfvw/xkmrLdjSzmGTSBYYrx8NtuYlEXzEtFVcRqJJMJJ6viJsgQYmQF\nQlCqFJWlDNp8Ra12aHsVmbxVrUbRRAhiH8seZ16jtuR75d+2nXhwHG2KBILVIrby1k2snLSO5k95\nljJpG41mgSJLKTJJINzMEX0I0c9QRen7ZF7tqeW3Hn8gkrfNqw4/x+Fz39ch/V0FELf3y96HeOK+\nNfj+8F3FDwf8JrlB3BPTO2DSlkSAUjEy/JCVdHZUsWlGfvhkGYPyXNwf6qd4Bx4EDJOlzhX9eAgU\nTHEukOcJ/WRQSmJdQFuDTBKyLOWq1eirDqlS9GBY76IwQqkUmwiUCzTtyLIuOL/uafu4/FuomODa\nDprHZzOk8ax3I49PZnTG4G3g0YMaKRNOVhVaO/69WdP1hlQkaOmxbqJQKXmRYmw8pM4WBeu9B6Cx\nDpmlBBPbalImiABHs5zVPKeqMgqVghBY6zie5ygVD7zlPONy0yMIKJXw/Dw6r9e3VHoHh43bRHGo\nOsa9JPxgYLtrJqRKeXnVE4jqv/N1x48eL28O1qpIGXV8m1c59FMUZyxmOU0XfycHz72Dyu+AbTex\n6/R+/+ygxsxYzl4/ZKNs/RCP8e6H8PtW030bAcSBQPIsZTKW43nxnUnpt70S/FXj3vnhHsDrB8Zt\nb7fzq55tN8UEVeMYXjQ3i6CzKqPpBc/OW5q9gWdVKKpC0ew0ZSl5eFLx8y+uKQrJaOKcRRAI3lEV\nOU0/Yl1AScGuN6SpI4SA8wKJR4r4fS/WmrrM9zOeaJY632c6GespcoWzHikTikKhbeCTsyXjGNV2\nH53NmYzFGsdkPEkSFXbtqDla5JweVWjrUAkgAhfbnrrM0MahjWdWKbRKyGTKZD1CwGpeYIxjVRdA\nYNdpMpXw/KonV5LlLCbWqv0S7YuLjnY09MbhPPwwCEZjXmuVIiCBV8SkHZNOY8txX8HpNqr1ms4w\nGceyji3DJ2dfrcAgRqQv9/tOVa5uCBD2yrl91bBp92a8iLgorFJyJV8LCzy0EA8V2eG6DxHs70I6\n7zuS4pcRQLxJILm6Pw7u8WHg/p34FhxmDUUe2zabZmQwhqbXIAJPTudsu4m2m8iURBtL0030g2HX\nG15eGY5WJblMmC9yMplwft1T5BnXzUChJJlM6fqJo1XNNBnKQqGShPVuRKmEcTQgoC4lTTshhEDr\nQJp6vPW0vWFRZWgXW2xpIjBGU6gUZxxJCJwti9iWso6iyHAh8NnzLbNKEQTUuaTpY1XgvMft94mW\nVTzQ2m4CBE1nqKuMTCUY4zlellxtBwKCEAKTidXi5a5nWWXM6+xmP6vtDe0QVYWZkpAEsixhpfJI\nqAReXkeTV619TM5tpxsZ+s++vGZZ5Yza8q+fNdRlhidWb8Y4lHk1A4rzoFd36G8SxNG8INmn6B7E\nCwdiOFmWNxXEah8t8lGd31RRy3l2k/90qErG6XVX9HDzb+pG1HHbjuguEnpflcSHUqnc71Xd47vi\nvRCTc44//dM/5dGjR/z1X//1+/iSHwSKPKa4HhwHml6z2Q0kMsWHhrNlSZFJ8iyl6eKSaFlmtGP0\npmubCVFnGGtZNwNFLnl5PbCcKeqF5D+fbvjppycMk0WPht//aMWumegGy9VmwPmASGDX9hwtKrwL\naKc5qkr6ySKSlKvdQCZTZCZJVUIi4NlVGw9QbblqJpaLAjFaFvMYq57J2JaalRlnJxXOR5HDPJck\nQkTTVucwxpOlAus8dZnRjxo81HVGOxgerEp2nWbXaaxxPL/smFcZ42Txk+VqE5dLd81AO1h+/PEy\nHlVC3LT38v3/b7uJQqdkStJ20QtwOc/5+ZebON8J0HYmmrAaR9ebfcJuwsV1x9lJzYOj6k67odtV\nST+6m1TbZ5fNV4IGb0ezF5li3USiErxKsT04lXdjnD2JvVktHA5heWckxnUz3lQlH8Lc5fskkPtw\nwveH9yV+uI0P3Q3ivRDT3/3d3/GTn/yEruvex5f7YHBYkjyoqibtmYwnGA97u50fP1lS5DLuIPWG\ndtCIBFZ1ESXdveF61xOAq/VATI0QkTBmBV8+37JaFJycVCQCVouC7aDZtRMiCJy1LOqc42XOMBis\njW0t5zy7ZqCuZhS55GiR88XLHdZ5FlVONxiCgOUs53IzIFOxj+oQN4YGj05rusFwelSybiesh7Pj\nguCjX502ljqPxrK6iQTohUCqBG08uUxQSnKx3aESEXefrOOHTxbsWoOxjn4wbPe+gZvdxGqRM6sz\nBIJMJlGUYDyFkvgQ2HYT2njOVpJtG9umo4F2MNR13GvaDRoXoMhi9fbk4YJEJDcZTXcdsIcZ1uEQ\nPqjrNrsteRZnh7djOA7PebPqubP9FfYJkUDxhpkrwLoZWbeBEGAY3c38531bFN0mmknHVug3xYJ8\nnwRyT0jvB+9L/HAbH7obxHcmphcvXvAP//AP/Nmf/Rl/+7d/+x4u6cPB9XbczxwCl5sBQaAsYzTE\nNFmyLOYt+SD4gx+d4oPg3764os4Ph5NgsSjYtho7aOpa0XWGZB+LsW4mMpWw3k4Uo6U8rqiqjNE4\npEqY55I05DghmExs9e0Ggx4t9SzHOMswaGZFzs++WINI0NrQT5Y0SUjThM1u4nhe0Paa3TDhQ8DK\nlONlQTdojpYF22cji1Ix6cAwGlSVkyWgbcCkjn6yOOei5FwKrHHMqowil7S9Jpex2aWyBDz7LKqE\n01VBo6J/3rrVXGwHtI0H5k8/Wr02r2lHy+W6RxtPphJ2w8SijBWeVulNZQVwuqy4WPcI4OFpFC6s\n5jllJkn35P51ODiNT/pVuN8hQPAuA9i7DthpLz/PM/la/MZthd7t73VoB27akVJLsiz9ikXR+yCI\n42WxXx6ON07X77AMfE8gHza+T/HDh1YpHfCdiekv//Iv+Yu/+Avatn0f1/PB4PadcZ5JTlclV5uB\nRMTs80l7tHYM06sD7UcfLRAikpiUUc59cd0jZQIE0iQlyxOECCxnBdteI5MUmQlGY1l3mmaK6rxh\nNHgCJ/OCrp1Y1QXtMBGCo64zpsmSJFEkMZmGRaXwwpEmCS5A8AEXXGxB5RLtXLT4KTPqSvHiqosz\nmslBEGjryVVCM2j6yXG2zJnVMa4jxk5E9WA/WlSS4ENC1xuu1gPNZJi0pcokx4/y6LxeR8m8XKa8\nvO73S7cJCVAVscX4KJOUWaxKPnt+wagd1jq0gZ98vGLSjkQkfPxgzqTjrOrjh3EXSGtHkSWM2pGp\nlNVeKXeb7N7EoaI4QBADB+EV0dTF1/9JFLni3/7rikAMNRynr4YVfrVFBqtZwcurVx0FrT1V/kpC\n/m3l1XfJ1G/Hitwr4u7xm4jvREz//b//d05OTvjjP/5j/vEf//F9XdMHi+NFsXfNDpQFzOssDru1\npS4k17soX350NuNyPVDXGZ893yGA43lJ00/85NES4x1db3m4qrEuer/p0XO5G5nlKdYFyv18a9OM\nnK4qjhYF/sohQoHxAec03guKTNGPhrJISdIE5wKzUqFEQpJCXeVcbDoyJamU5MvzlqtmRARI0wRB\nAJHgnefLyxalUkQItN3Ek7M5P/uvDUkCs5nANgNPzmpSETDWMIyWbjRcNyMgYgRIm3G0rBi05aOH\nC/7vf3mB8566lHF5eKGoylhpbXNJcSxjqyxLud4MyH3s/MvrgSKPrb5mP3P6vU9WNy2qTx8t2LQj\n4eBBp+3NDOhrf4fLgnFKYTdxNC/YNCO7VjOfZQyT/cZ4in/9zytsgMk4Rj3w00+P7jz4b8+qDiS1\nnOfQCBCBTCX0k4XdxPHi9dbfu5LJ/a7Q7wa+jxnTAW8u3b4Nv+o51Hcipn/+53/m7//+7/mHf/gH\ntNa0bctf/MVf8Fd/9Vfv6/p+bbgrCO7sqKLpJjKVoo27aS8JBONkGbRBa8eum5hMvPs/WVXsmhHj\nPM4FLnYj8zqjN47g4wxo12pMCHjvuW5jiu2izm/aS8fzgl2vsTZQzzK225F5XezzjQzzWYH1nlJK\nBmfABqp5hRCBdpwo84wyS7ncDlxvR/r+ENwn+MHjOcNkuW5GylKSSxmv3Xt+9sU1g3GIEKhyiaok\nTT/x0Q9P2exGnl+0JDKJM612oCwOOz6ByTjO1z1VJakGiVQJZS5JU8HVpmc1yzldxT2wdC/HVtkr\nu6GmnxDsLYysuxEN5Jnk5XVH2PsVjpNlNIakDYiZ2Cspv1kF9+QsttxSUbxWZR0Wfm8/9oDNbsAf\nquj9737XjtTF3a7lt2dVB5ISe3eP+L559TP8svg6Bd69Iu63C9/HjOmA20u3b8OvYxn3OxHTn//5\nn/Pnf/7nAPzTP/0Tf/M3f/NbQUoH3B4MH6TERS45X/es6jzeAQuAwGcvtngPzy/6KBbQ8XD3Hpre\nxMVH7VA6zn9W84JEJMzLFGMs3RhIU0VjRtabgcUsZ17luOC5bkZ2vWYcLclomFUZvbZo7ZlXYCkx\nSAAAIABJREFUBcYGylyxLCV5IjDBY7Sl1YZZISEEnl22MYFXCDZ9T54pslTyYt2xrHLSRJArxbxS\njNcDIAg+QIgGqsYHemM4O17QdoaLTY/2Ad1qPIJZKVktSjKV0PWausq4XA/87OmGJAhUmuAJWB9J\nTqqUppsQFKzmGf3erV0bh7F+L8F31FWsSmOFYg8vN5OJrcldO7GoMybteHk9cHpUUmQpR/PYXrtd\nUVRFJJPbhAExMfflVce4v9nY3XKQeLMSybP0xt5Im3gTkmfqpn32tsrlQE5VJm/8Fg/qwfcdwf5N\ngoZ7tdxvFn4XF2w/zMnXB4Tbw+/jZYFA8OCoYjHPiQo3wWY34X083LpR0w2aYdJkacLlumXUMSoi\nk9EE1LrDUmpGXcUWEkEw6jizIRX0g+VqO2BsoBs1qYjedZNxXG4H3F4ZuO003TgRfGC9G4k+4XFW\nJJOEaXJcXPdYGxjHeJAGn7JrNH0XU2yN9/zwyRLj/Y1n364ZWM0LQNDslYaFlDw4rhlGTVUoHp3M\nqOqMNAmUhaLKU5rBEhC0veaz5xum0dJ2OsrlZcpxlXE0Lyj2Veezqx27dmI1yzHGk2cp8you87oQ\n490zlZLsBQqTtlxseq42Pc8vOy42cX4FMeLjYDO0aQcGbW6es24GPnu25elly/V2fO33e37Vc77u\nudj0fP5sx7DPeoJXlQjEvadkn8U1GRfl61Ly/Kpl04xfefxtXG9HutHiQkzlPZDSgYSOlwV1IakL\neUNs0cXh7jvlmBEWJRUH1ehd1dqbz3920XK1i9dy+3W4xz0+JLy3Bds/+ZM/4U/+5E/e15f7YHD7\n7vL2YHnUsXVndMxHAuh6Qz9GyXiuJNpNCGK7ru8n8lxSFopUQJYmzErFthkp97L0i02LNg4VUlIV\n3b2TENAmcL3pQESfuMkYllVBVWUMxpJLwfV2oipTLi8HZJJQqJTtbmC5KMnzhMk6gvDRLggQiSAr\nJPM6Z1FlrLcDj09rtrsBax0PjuobQkoFtP3E8TxGTGjnUWmKNhYpIEkTXl61eO+ZlzlJ8MzqHJWm\nHM0lbq/Eq0qFQ0T38gDGBJaLjP+5viBXKR8/XkQn72XFTz5a8nLdA0RHiaOKbau53I6EEFhvJ/Zc\njTaeZtCoNDqSax0zpLatYV4rmk7zX8+2PD6tUSpl20xUxQlFrtjsBoQIaOtIgEQJLrcDy3l+Z/z6\njz9e8eKywc5yHhxFW6f4fogV3V3PebPttpznpILXWo6H99gB7zI/Ol4WMYaFWMndVuDd9fxnl02c\na/HKhPjXJYy4r9ru8XW4d374Grz5x31oBb3cZxbtukg8AXh53VEUiqvtEO/wBbS95nhZ8vnTLSpT\nFGnKOGj+2x893kuIBVWpaMYtNng8YK0DIUiSFGMd3bAlSQX9aPE+IU1BJSnGGZrO4ElwRpDJEIfq\naUqvLd5BSARNp/ex7R6ZRsWetY5FVVCXiqYbEUTj2a7VGBcoi4xeR3ug4DwuTaiVwlh4dt5S54pu\nb/pqPaw3HXme8ey8ZV5pMrWkH/eLpwJmdcE0xWXUgMMZz3UzkSYJdZUShGA0jpdXHY9Pazzx0P7B\nowXbdqLIUsbJMWiLD55+NGRZtEQyabK3ORJRip1FJ/dcpSiV8ouXLdpaJuNpesPxMlZqL65asiwK\nLw5t0WSv6Zby1Yzprrbaal7gA/vI+PTGpfxtj78Lh7nWXcTwLg4OB0+82zZCt6u1u0yIb1tU3Bbt\nvCveF5ncizZ+OXyf4od3wa/DlfyemN6C24fDQUpcFSnnV32MbugNxkT36UylGON5vm34vU+OOV/H\nllBRpHz5smHUFu0DIHl0NmOzHXhwUnPdjHz5bMs0ObwLOBswzpMkgcZMgKUscg6u5AcFXSISnIMQ\nPKlM6UaDU4FRO6ospSwVfT+hpCSEwNBPHC1K0tZjgyBXBevdFMP4ZgWb7XAzE3POxwTbJMF5GIwh\nCymJiHZG1niqlaIuFT9/vqEfJqqyYN2MqCShLAOfvdjxoydLjNMsZxUieJQk5hy10XEdEWLrcit4\neFLT9wYCDNoxas9qX7GIWXRVGKbXZd5h/7+qVMz3C7t1qZj28ykEdEMkMOMEWZYQCFxvh30syEgm\nBYtZTtub6IGYRlPakzLjZF58paI5oMgVReYY9tEby1lGWci3GqDeJUi4/fG3DfW7bWz7LsgzeXPN\nh+t4V5J5X2Sy2Q3REX5fWd7L2b8Z36f44V3w63Alvyemb8DBIQBg+2xHlidsu7gfpI2j63V0584S\nZCr5j19suNwOdIOh6aOfW55J8J5EJDSdZl5m/H//cUU/Gia9rwBUgpIJVVnQDROJEKxm0XqoKiRF\nVjBOGpUQPfUywAWsc1iVYq0hzxSTtQQN81nBdjcyr3Mm6+ivWx4ezQgiEKxjyhKETFApWATnm44i\ni7JrrQNlmZClAsGeCH2g6UbOVnHuVFWSUknW+9dJCDAuvh6LWcG20Xz6aL43QM348Ucr/vWzzQ2h\nWOsRiSBNE7bNRJ1nlGU8nB4cVXvHcRnj6y/2Pnobh9FxB2wYDUfLgkWVI8SrOcu8yvj82ZZcpQQB\nbW/45NEcraPF0qxS5CqNIg8dl3p9AJVEJ4rVMgo44Osrg+NlcacX3tc9/va855C0C189nL9OWfdm\nnMY42Rv15u3Hvfn8QwTIwZ0dAU9OX8+HehvelwdfdGG3DPsE43cl1N91/C6KH+6J6S0ocsV18+ou\ncddO5Fk0Ux2NgwDPL1qaYaSuCspUUhSSy6sOY9ze+SfgXPSBO1tWeB8l4y/PG7ajxdnAZC11oQgi\n8PBkxvVuQEpiW0lEc9Z+sMhMUs8yTmY5y1nJZDXrnSa4gHGGQmUolRKCR0kVc48QNP1ICJAkksuk\npywUw2jQ1mF6Q68cQnhEkpCKhCwRyDxBpoKsyClKFV0f6py6is9VKqHvNdrGmITL7UAuU5wPFDJF\n7oc/3WDJVMKT0zkAj05LunFiCJbHJzNmtcKYwPEiikAEsKxztLGMOr1pdz05m/Gfz9Y8WFWcreJM\n6fc/PSIV7Ftx0Xi26TUvLlu0CXvzWxX3soTgD354zOVmZFnHKPd+slxue0KI/bujZUEIIAho4/ni\nxY7Vovza9tXbXCG+7j0FXxUk3IVvUtYdqvjVvLhzXnXX81/zAfwVVygHcjuQ6cFto/ia3bNXER6/\n+uu9x68X98T0NTieFwxTG50MZvHuzhpLrlL+/bMrpEwos4ym1azqnH40hESQiASBRxuPDR6Epxs1\nZZYAniBSjA+03YiSCaKUzLKMX5zvqPbzG2ctT06XbPzEvMpQMmExi2q1yTqGKaB1YDSW4AJpIUgT\nQaEyZpViEwITHhESutGSSUs3RkPWVMR4jAAxxylNqCu5/z4FL9ctJ4uCZR1bb3WRURYJ1kJVplxc\nd2z7iTrPad1EXRco6ciVIJVRFOGMZ9tNnK6qG+sfbWKLTiWxlZWlKXWRoGRUmO26ictNJNIsS/j4\nbM6jkxnHy4InJzOud1FFlu/d3stckmWSfopxHPMqo+sN1jkeLWoEgXmVsaozqlzyycMZk4nVxecv\nGgjRfhUEs3244/lVR1nE1/D/+n+f8dNPj4D3Owu5qyKCr86b3kaGzy66m32qcXL8+OO7FyTf9vz3\ncb3fhShW84JRW6pcvtU+6nbAo0BwNC/uZ1G/Q7gnpq9BP0a7nkk7du3E2VHNx4+W/NO/PCOVCZmU\nlLnCuo5dpzlZFKx3Iy54EhLSJCAFLGY51gcG41EO0lTgvcN6CNbjHcwKxfG85OlVQ3ABmWZs+gmZ\nCqpc4kLg6rrl9HiG3Ses+uAxxiEQTJNmWc1ZzXK8CCxmGUandJMhmTyT9Vhn6AbHoi4gJKRpnFtl\nKuHBUUWepZxfdzw8noEIbNqBHzxeRecFlTIlMf9JCIFMU5SEo1VB3hsWj+YMg2EzTKzygmbQnOQF\nj08qEHC5GTDGMqvi0mynBybr8EDbD6Qi0A0aKSUewba1sfKEG9EJ4lU2E0Tp/bYd2fbTvpUVqCuF\ndY6m19SlQo+Gh8fVPudJsJoXfPFyy7LO2HUTzV6g0vUaZxxVqagrtc/Kgovrjvks39/pv6p0ftmD\n+W3Vy+F9dmjt3bVv9ebXWc7zGzl7cYe/3/eB72r2etfC+ttI6RAYeWgexnnaV5OOf1fw6xY/3MZd\nThHfhxjinpjegtt99UyltxzGYxvKB2h7Sz8YVsuCIo0Lo3/8k1O+eLHjy5db5kWGtwHvYnx58B4X\nArtmQCHIlMCHQF3E3aYil9RFDPxzHvABC1w1A8bGSidc9VTznOCjq0MACJ4kia3E5SxnXiueXXXM\nCoVsRXQ48AIfoMozvPdoG3DOI1PBvIxeetJBVcSY9FxKjAt8/nzDH/34jP/57+c45zneO1nUpYJc\notKEZV0wDBolU2ZZxm7QPD6ukTLly5ctnzyc8cXzBuMdT87i3OloFpNt+0Hz2dMdSgq09zFqQyXk\nSmGcJ9u34hazjCKTTNqRCijzlE0zsm01bWfYoVlWGUYHTo9qrPU8v2j4wx+dsmk1Wjt++ukRk7Zk\nUrLrNR44XpYY45jVOVmeMoxuL2WPgXvbdsIHGDPLZOS3iq14m3DgLrfydTMy6JgB9nXf4y5Z+veN\n70oK91EY3w6/bvHDbbzpFPF9iSHuiekOHHrb23Zk1I48SznLKoSIs595naM2AwkaCNR5wckqp+k0\nw6CpcsUffHrCL85bNuO4FwVYlrOc2gZyJbnadPggWMwKrncjQyHxNlDkkl0/YYyjqjKmfiJJUqoi\nw2pLMxp0CHHfyAF4pMogCNph4vc+WtJPntWsQCQCM3mKLCOXgl5bslQyn2c8fb6L116UKCn4+KTG\ne89g4h6UdR4SSFLJ//hfLxBJinXw/LKlzBXjFDhZpswKxfmmJ1MpBNDO8tHpjLab8N4xm5X87LM1\nniivbvs1Z0cVmRTMK8XFdcvVrmc1z/dEMDArM7I0QUrFppmY1fv4i+mwSJqybWMO1KxSnCyLmK5r\nHSer2HJtnIvy/U1/U6VdXHcsZvle4OFwIaCNY1nHYMMyr/jyRROJQgheXHbMH80ZtGXXRTHHAe8q\nALhL3fm2O/+DE/nXfY/vw3LoV0kW7yalV5SZuwlhFIivnUX9tuNe/HCPm7vbl9cdz88bqioj0ymr\nWc5qFgfNzy47TpaxSrCtJleC9Wbg6XWMYshVSjtMZFlCqRWD1hA842gYS4WfPEmSYp3jxUVDVcfB\nf1FKmnV0HE+zhOtNQyFTButJtaOsFFWWMkwjVnu8iGo4PWp8Dvkg+PkvdiA8x7OCByczLkXHg1WJ\nc1GIURQJTTuRKIGznmGaOFmVaOuZV4qm3TDZqCAUgr3jhMA7j/exdbiock4WUQ1nrEfK/aRGQJam\nPL1oSVJIRui0RyWCyQSEABBo6zhaxvj2p1cdIG4WP4/nJexnQ3maRudz49h1Oro4mFgxSRlTa7ve\n8OTB3nHcuDhDkpKr3YjWHl/A1SY6m5dZim8ECYInD6LRLgQeHNfs2okql/z00yO+eLklQfDpo3lc\nCchSsiy9cZEAWMxeVTLvcrDfVndyK/r9TaLR2lF+jUM6vJ/K43Yb8fvYKfq213d43i+rerzHbxfu\niekWDne3L/cWNYlMWR+26QVM2lHlKYtZztPzmHkzGMd/PN2QpoJusMwrhd47XUPg+XlLsJFB+slQ\nDoYkESgE3WgZtUE7Sy8T7Nrx8HhBNkv47NmGIi9omhETIE8FJFHVNE2ONE/pO4cP0VeqkmAdPD3f\ncjSvyBPDl3bL6SrOV6xz9DrFu300hgsIkaItNJ3mXCZcbHqKImPYDmR5QqESMpXwg8cr/p9/fUHf\nG0Sa0J9v+ehsxqYd2ew0J6uKcdJkMlohTdqwrMu4cOQDSkm01QgEJ0cF81JRypRmMDxYxmReY0Ek\nnkWd8eA4LtmmAvrBxEH4dmDTjDw4qilLhdOePEsQxN9LkaU8Oo4EdX7dcrwobhZKA3E2dXZcM2rL\nal4B3FRAo3Y82P/btp14eFQzact1MzHo2NLLVMrPn2443sexbxrNf/vDh9+43/OmuvOVcat55Z+3\nnykdhBnDZBkny9G8fOuB/F0O6rv2oL6pmvs2Xx++e8vznpB+N3FPTG9g0tGt+tBQWS0LjHFo7VjN\nCp5fd/ziouF6M9H0E7tGE4RnlktkKjDWAQILfP7siq53GBfNXJeLnGGcKMsclybgA0ZrJhI6IUlE\n4MvnO46OCuaznMt1TwigEpBpICU6kCup2Kw1EA9dBxgL/TBSliXbNgbyLeqM0XjqXDLpuDwrAtjg\nojMEnrrKaIeRskgJAbT1fPJoQTsaslTwo8cLXlx1zMrYDjPWM69Knp/vcIkgkWJvq5Rwte0xAeo8\nY9dp6lLyycM5IPbGrQnaOOYnNSpLEYPh7KjCOs+2HcmynE8eLfjB4yUvLhv6wSD3C8TDaPdS7hii\nCLCclzw4qmM44H65dZzMTSX3wydLmj7Ol37vkxV5JiOx76PaAdin/EKc22wbzaadyFVK18dQx8OO\n0PGiRAhBrlLyLOXFZYN6w3nhTXdziOrOcYp5Zctbldbtg3jScd8tV/K1he5vwi9bmdy1k/Tyuout\nWHitmvs2+LY7T+9rV+q3ER+S+OFNfF+uEPfEdAtFrkCM+wG3Zp8JiFSxlfOzL9YEAuv1yPl6oChi\nO6kfHSpJsd6i0oSjRcXzy4ZhiM4M2gWSBLz3HKLNg48mrIkAj0AkEDwEIdDGMoyeaYpGpgmCEAJH\nq4pgA1ftSJqA8a+u3VkwAkRqqPJIAHjQ2oIXaGv2WU2S64sdiUjJlMTtW3je+mjiqj1fnu+oM4Wq\nJNeNRtvYhpwVGSTgXDxCSiUxNkrWx8bhbLT90ZmjnTR5k/LguGZeKE4eFIgQ2HaxAjpaFkiZcPGi\nYRgtPoBMU44XBT//fE2qBM5z81hVZ9GuiYDZG9gmIaq7bvvD/dfzDdtOs2kmrrYDj05r5rNXh5tA\nUCjFoM3+44hx36YbdHT02HUTk3bIBLS1LKucfvI3pHQXDhJ2F16vFPq9oCIQW3pH8/j5Nw/iw6Js\n/o7Chu/qxhCJeLr5+M1q7h4fBj4k8cOb+L5cIe6J6Q08OZ3v91viQaKNJwTPrp3i0Nw6ZpVi22lE\ngGWdkSbxD7pOJdY5nHcczwu8C3SjxXtHN2qcS1gtKsJegRdCIMsEXR/VfiJNqXOFwtE7g8xSrHZ4\nH1BFrAYW84K0T8hzgR7iobQvIEhTEDi8S0izhJDApw8XPLtoqfIM6zXNZDk6mrFrJ+qZIiVWec0Y\nIzHGyWI7R7KIseVVniJQrHcx5Rag6UbKB3PSBFprKbOUMUR/PpkljDbOeWal2ldOCr93P5+0IwiY\nnI9O2ouMQVtWeU5VKH72+Zp5nSH3s6hEwjDGOYNS0ZkhAZSSyBvpeLzjXrcDk3F0vWHSjm0z8PKy\n5Y9+fEouJau54HiRv+a6kCvJ+VWPyhKaLto0na4qQjdFQYXxJKMDHz8+VFcJgken89faYgcJO3zV\nt+6wuwN3V0I3ldweb9ttOuDbVhhvzrRW8+Lmv9+H0u/bijPuc6Tejnvxwz2A6DRwvMhvAtyudhO7\nLi53JkCaxTnToC3KBj59POd4XvDl0x1lJZFpwtU0MGhLN2qGccKHhCRJ0Dou6OZKsqoLqjzhF5c9\nz6+2SJGgZIqUKauFZLxsEZ5YbQVAJPS9oSwl291EkUZZufWwmsVKLEslBI81hlxWrJuJ+Sx6yaVp\nTj9qptFwNM8pM4kArrXF+YBxjmE0zKsMRDz8sjSKJB6fzVhvR672mVT9YEn21kRmcqwWBRdX7d5x\nIpAgyPM0tjeNY71zbLqJ9W5kNStx1rPdjTw8Ljlelmjr6EeHwKNUiZQJUnpOVxXWOupC8vhshiC2\n0uJNg2PUJhqU7jEZj3aOi3UXW4FK8tnTLZlKyfOUF1cmLvfuq55tM91Y46QCQhBMe6m40Z48T0hE\npIlPHs4p89gOXO1nTQchQiq++WC//e93HcRPTudv3W16n8uld+WMvU9C+LbijHs5+T0OuCemt+Bg\nNzNOhtU87s1cbkakTBEiJpc+eTAnLAPPLztM4XjwIO7PZCph004ELDGIQZDuoxWc8fRpggiC4jhl\nXhcsegPMSRKBTFKSRPDZszXWCZwPuAAuxBbWFKDrR6QSYANeQJ6Ad4GyyNHWMJ+VJELw8rLl4VnN\n0XyGto7r7Yi2NpqcEg/ck1VJUWQ8vdjgxpFCxVmSIGHbG4wPKJEyGct1O0SxhRAUKs7UciHxIjBO\nliRNmQ7JviKJtkfOY63nshmwxhMCXG56Pn20AJGwaSbyQu2XawXLWYUxHiWTGwJ/8qBGAI9Panpt\n+fz5jmZPgJebnvFszsOTGhEEuUoYRotxgSQVlFmKVAkvrzq0deQy3buMF/vqJyoKi0wyaIsQguVM\n8fQ8Sva1c/TDwEcPZvSTI8/UDSm9+V55bWZk7I31z9sqgbsO4rt2m74P2fg32Rd9V3zbr3NPSPeA\ne2L6RhwOAIAffbTk2UVD21senc4RRNVYlaf84qplVeWcHccF1KNZzjRWfKk7pIwLtE07IgLUs5Lt\nMDJdGK7WLatlzbzKmbTjeFnyct2xmlX04w7vY7U09BanPaQBPUXpdZ4LZBAkh2EYgaNFVJw570lU\nQpZJRIhO26M2eA/WGmSaUKicy01P02m8TxhNIEkddZWTptG3bl5nNO3E1a5nve4QSYoQJVXpUali\nNPHAPF+39KPhdJ4zGseslDw6mTFpx9OuReaSYTIUWcaiitLreZVDEnDa8fC4BgKZlByvCta7gSRL\nqEvJOMUWmg8xmFFbx3Y34ol+eNtOs5zHROHjRU6SChLvaSe3vy2AEGDSnkymSJlw3QxUueThSc2k\nHZ8/397szFyse85WFYP2Mfo9TVg34407xttaZocD/noXnSi60d5UO7ddI940bP22eJ+Eck8Ir/Ch\nVW0fsvjhNoK33/ygd8Q9Mb0DqiJFm6j2Ol1WNP2WYTTILOFiMyBEQlUozq97MhlrpItNj8wzrGnQ\n1mONxVtIJKy3A3WZ0KcKqeB6OzFfFMzKjG038snZfJ+GWzCkE4O2BA+j8aQelEoYJo8KUYDQTZqz\noxqZClwIJEGQpAnBB15cdFgXGAeDcZ5+sIQQSNMkznvSgBQytgGzjDQI6iIjV4JumMj2RqkX6wGB\nxLnogbdaFmy6kYfHNdtmoh/j0qp2nlSCcdEf8GRZsXETTTMwrzKM94zaR5WeTJhVai9qgLNVSaYk\nTT9xsqzIVMqum2j7idU8u0mkBUhUQjCeyTiMsTTtRHEc386fnC3YNhNJMyH2vnuPTmqUjFlM62Zk\nXipG7fjyRcNqrm7abLtOx3ag6clUwsPjmqafmFUZeX636OHNg+y2OOJ2tXOXWOFth+BkXmUtfV01\n9KEcnr8t+BCzoj5k8cMBQ9/zf/4ff8B8Pv/mB78D7onpG3B4oyol0bsYF35x1XPdjGRpSp7Hw5og\nmNUZ23bkwarkZFXx9HLHg+MZLy42BCkJJGwbjZQwmcCgJ9SY4EXguh04WlQ8Oq45mue0/YggIKWi\nlhKtNUJ4XIBRe3IFxgYSLMfLGUIEfvh4QT9aNo0mCEE3aLyP7a4qk3gfYqw7geAcLo1JupM20Zqo\nyAkiUOQJ3Rj/ECbjud72QILzjqrMUFKgJDxYVIQE6lqxbVP6UeO8ZewCSZ2yazVtb/jxp0f8+2cD\n2nqKImUYA8fzkn7U5FnC7P9n702aJLuy+87ffXd4k08xZSYSQFWBZWqSsm4aF9rJjCutZTQttJTp\nE3ChhRbit9IX6E1vad0mdRtJcSwUkFNkRHi4+xvu9G4v7vPIQFZiKqCARDHOBpkR7i8Q6c/v8XPO\n//z+jeEwZPm7MZLKS5Q+7vZErM/28NpIGqMwSmKkBCnZ7UeGRhMTfPp8x+OzhhfXHcvGZICsjzw+\nqQHBX//TFTZkeCwIrrc9TWPYvbRzBWcYZuCsDzHzAE1uKR4rr7eTxP2D7Hpnae4lr6PYoa3UO9tz\nRzsPeHMIHq+XZeOR01X5kHx+oHhfJes/BfFDd9ixXq+/N2beQ2L6inj7Rr3tR/7xsy2jS9lbabRI\nLfn48YrLbc/h4Hl8VhMLgdaSJ6dLrq57npyvmKbEfnDECbz3hFlyPUwTUgpSgkNnsYuK//F3L2kX\nFVoWWOsojcDahFaC6BKqAKkL1qWhNJJFqznf1Kxrw88fr/n8+sD1dmTdGm52I2JKxCmhlKQpYfSW\nypT4OOFcwMVEU2mmYqKuJf2Y93zayuBS5ulJCVoVmZe3qvnobEFZGq5ve0JIxDSRUoFEUhiBtYGl\nUbgw8f/+3UvONwt6m206NjOGqSoVWkm2u5GTdcME7HtLbRSDzxLr613+ALDDoZ1CLAVGS843Nd1g\nOdtssohD5KR2ed1hXYa4Oh/58NGSyihe3nQYXRB8xPmIEAmjJc+veowq6AfPzc5ycdpQCHh8vmQ3\n2GydLvIcarQRFu++P7b7cf5TYpzN+I4CDSHyLtP9yNL0jCCqjLrbgRruwVm/TJb++x7vWyvtIX74\neEhM3zBeXvU8v+qRUlHqCa0FZ+WSZW0oTcFHjxYIIahqTT8Ebm4HSqNpmmzNsO9H2kkxTdCRkEXM\nENVSZm4becnyH59d8+RsxRhGwpQYQ2DwUBSaEFy2ERcFqhCIQlBXClkIvE8EBNt9tkp/fNrS9Z7Y\nGpwLyEJi3YCU8Hix4vLmwJTy88t5CLNZZOFDjFMews+LqB89XvMPv97mw7w0+JCoy0zhHqxiuB3R\nRmLKyNgHigLqpmRvPcu2BAHPL/esVtlk8DA6TpcVy7bk0FmkKnAu8s/P9wgST85anM/Gfss6ezYt\nm+w3tWoN1k5slgUFNS9vsiJvdBlbJETG+jiXhRaXNwOnC4NIGdi6aEy2z0iJ7d7mDwo7idezAAAg\nAElEQVQuEmKkrTWDdZwuGwYXsDZyGDxKFZByBTS8g3K9vcdUBChLiXOBwU4Yc0z09i4BQYbDai3v\nKA+bZcV2PxLmz0HHr92PfwkH9rdpd37f8SBZf3/iITF9RRxv1NF5Rh8Q5IXYOEVEKFB1wS8/3pDI\nLaf/Y13zP//+khCyN9DNfuBkWRFioveeqXcIEqerhjhNHLoeEAQpOXS5hWQUvLjec75u2e5HRjeh\nBDgcTWWQMiOEZFngvOC2G3lytmIYHc9eB1pjGEZLmBJ1rZEioUtFpSTGtEwxW2AsZm+niUTyE0pJ\nXEjIAtome0tpWWBUQQH80c9PuT1YvHNoLdkeHNvO42JEKoX3PVoWeC059AMUgtNFTWkkTa2RQDlb\nvQsKpJSMQ2DwEekTMOD9hCoEN7rg8dmCw+DwLnKyfuN0WhnFZqGQAp5fdZDgs1eHTHvw2bJ9UWuM\nKXi0qUkURHLiOlpcnK4qfEgILGOIbHcOYzJ9nSQYfWQ/OBaNwczS8eNrnDE+4e7+eHbZMbp4R58/\nmfeV7IwyOkYi3e0vjTbw6LS94+cdKebrRfWFr1kXOVtnBeD7OPt4O74ugXyT73+TdufvMt5HyfpP\nQfzwLjuM+/FtiRAPiekr4sgx2x0GDp1FyYLb3YBPic2ivNuF2XfZ1fUfP9sSwkRlFDfzRv3gJvaj\n43CwDGFi0RpGH9jtD5xuFhx6y+02kKceGS0kSFzvDkxTpkGYRuXvponRBQrAuQmlPQLDzfaAVopU\nFLwKI4tKMQ5+3uORTGGi2tQoXdDPFAejFc5FxtHN1u+JfvB88Cgr6WQhaFuTSRYLw4ubgSggFJIY\nEi+vOsJsFx+8x9qU96dCYlG1MDlkUWQbdOf55KMTphBJQqCVoB8Dg3MkBFNIhKgZXGBZaVISfPp8\nx5PzFqOOVYhiNbvcWh9ojMrutCTkUZG4ruh6S/CRk3WeKyUSu84z+ohSkkPveXRSs15U9Nbzv/75\nmqaWM1tPUJkC6wNGSw59FkKU+k1LzdmJuMjW6Nf7kfWypHKS7eGePYrNbcgjTWI9+znBm8OuG8MX\nGHXNTIy4/7XTVXl3H76Ps4/78XWJ87dJrJm2/iZ+qN/7ffp3hZ+G+OFtO4z78dsQIR4S05fE/Y3+\n59cDuy5bcVd1iZkiZ4sSIwv+7tMbqlLz4upAiBOlUTy/OqDLPDtJM9pocBNGK7o+0FtHpGB38Bys\np5xxRJPIFIdpgmGEUgsWrcSoTE4YnCUE8C4/tlUKZyOjmEiTY0p5tXXsYbNqiCSMKIhF4vJmYNHo\nLBlPBcPBMlpHEgVTSjStQc8khbIoGP2EUQW10Wz3jsFGbg8WVRQUAkaXD47eZWv4Q2cZXczybu84\nW9U0laLREqmyJ9RiURJ84uK05vKqQ8mSECe8nLL4IYk7sUZdakBwcVKz7x0fnDZMKScaEjy/6tke\nstHfGCJigqaBRV0eqU/88/MdRhfUlcaFyKotWbeGT57mN4h77fnjT055ed3jQqStDd5PHPosxJjI\nC9VnmxohYL0wrNt7B+qcfCqjeHyaGXeFgPWyBEpeXvV5hlSqL7SF7reMjhy+zeqe8MGo97qN9HZF\n8XWJ85sm1rdbaQio9MMR9VMQP3zf8fCqvyOODpqQDx7nAzEEfJiYpgzbtDHx4vktdalZLnIbri4V\nu86hZEEKUNdZpVcIiSoEIQRqoxhnjyTvsoQ8AQ5QCXzM7TyjoJDZ8kEARTHhXV62DSlTCuzokZWi\nUBBjpHOgZGQKAoHl0XlDqQvwCR/9XXvOF4HOWuJUEKeJGKGuJiASY6QXgqpUXO8sRWHRUpBipC0V\nPkaKoqC3kavbHl1kUoX1ATXPTKTKS8LKFDS1wh1yohJCYMqCUhVUlcYePAhQSjCFAh8zKzBbacS8\nlOxmy/TZi0nMzLnX255PX+2zSeHo0UpSm0zOWC1KfvVsS10rQph4dd3TVBqvA+Wm5nqfeYjLRYV1\nkZ89WQOJ7cHSDQN1bfAhsm5yVdyWkp9/sGa0gc6Gu+qnNIrbbpwZc4rKaJpK3hEbHp812HdYiN8n\nisObA/5o85C/9sXvvy+zj991S/F3TaV4iJ9GPCSmd8T1fpytuPMg3frI9mARQGfD3cLlaCMhJm4P\nWZFVV5rWKF7vssNraUqMlvSjZ9EYvPO4EPnZkxP+4fmW3gUQBWmaMDOUNZGTkjKKYQxED8EEKg3a\nFIRxyvOUzDPFxwxp9R5SzK3A1UZTKBCFoK01hyEvfFqbSQbeZQI6aaI0GgGMzlJMCmUUoigYXECJ\ngt1hoK0NWhWA4GzV0A0uS72VYSK3ButKE2KgLBVGa2KcsDbw2eWB0ih2vc8g2lZzdZsIMRFjZLQe\n5yJnJw3jvAdVlhoS3HaOKQkuTI21E9vO0vX+jsjQVpoYIutFxbLR1EZxdtJwe7C0Tclg8y6Q8/nf\nbNGWWDdRlfdf7UQz+x8VM9H1cttzts6VGiSenDY8u+yypbmNd8KE271lfW+m9PQiS/Z+41P/PX+l\ntw/a+wDaRBZkQGbr3T/434fZx1dVPl+VOL9tYv1dUyke4v2Ph8T0VozWU2qVLbbJ5Oyjsdznrw88\n2TTsR59t0Ju8VJsgz2q0zK2l0dGWkuvOs24Mf/B0RfCAAB+yz09TGsKsPGsXCmLAhpyUrIfDGFAa\n4lxFKSWYpikP4mcrjJTAeRAi4RxQQF1mi4xPPtywagwuTpxuFmx3PaXJqCTnAhSSMDqUzORzpQra\nxqCNIsbEdvQMMZAQOVlUikopPjpveH2bl3dFm683Wk/bKBbSUAjB6DykbKOx7S1q9BilcCHSDYpF\na5hIKFVgu4SpFDeHEVlIEImbfeDjixUhZIq495HRR/rBsZ8XhGOY8HFiszA0tcbonJR2e0ciS9uv\nt56TdcVmWSILeHKaqRjHo/XTF7vcatOZ6G19YLCBZW3Y9fn1PDreji4iDunOxM/7wHqeB71N5f4y\nAkRTyXce7Mc/33ewPbYIvy9KxPcZxxnYfQr61yWQ75Jg3pff+8eKn4L44aviKIz4NgKIh8T0JbFZ\nlry87hDA6abmajvwBx+s+fXlAR8mFrUhRjhZVey6kY8er9kfLKONSCX5+89vWdSaYvY7WDUlSgue\nXKxpqo5DZzEapiS4vjkQ5p/T9QMu5PmG91Cb3LaLMVGIXBHJAspKEELCBSgVaA2Dz8lKFJIX1x2f\nfLDm2eWOz1/uKITAes+UoK51VrBVeXG3aUvqqkZKSV2qGcQqSFPmzTFNpCnjf9raMCXoQ+T21jJN\nWRJdCPjgYsnVdYcxGmOyDL41Wexx6LOaTwi4Obgs0LAeowVFSlS1oRty5dHWks9e7fnFkzUvLg98\n+mJiUWm6Pied9brK1WvvKXX+2es2S93Xy/zflzeRnz9dU4ispvv48Qp4Q+3+X59eMbiID5ntt2wN\nxfz90khWM7iVJNgeHLuDozIF5ycNAsHZquRq98aVdrAZNHs/jmqy46JtIRI/ZnzXyuOoQpyOydO+\nUQ1+k+v+S08wv238FMQPXxVlafg//+rX/Pl6/Y0FEN8pMT1//pz/+l//K9fX1wgh+I//8T/yn/7T\nf/oul/zR475E3Lp4j2adTeoebWouNjVD73i1HXj5ukekib1wuCkR0kR360gkutExTdlTybrAZlWy\n3Y2QoKo1QhVsdyN1VZJSou8solCUMjAVOTHFCE2riSliCkEhI9aD9wklQaZMGJcKGpFJ5D5EFpT8\nX//zMwSS1zc9ISa00UzBc7KqOF3VXO06VKFZ1oZFpdGzfUdpFCJN7HpPPzoOAfxkqUrJq5ues01N\nrSWDluigaKos0LjZ9zx5tOTVtoMJVouSw+BwNlcCLiScL6jukl9CzDtCJDhZGAYbISUWjWF7sMRp\nAhIvrw4s2xJdFHg/8cnTNQLYDZZlnWdBu71jvTTc7i3LxmSbciP540/O7wjkVSnZ7kdKoxjn+d3L\ny45D71k2Gq0Vm6XhZFlyed3d+TMdBseybe/ccuGNaiwnoDdJZ7T+blb0ZvE2W8/f94Kqjb47rK93\nliOrD/LS7dvWF98lsXwfs6HR+tzOvLcE/H2r5B7adr8Zvw/ih+6w+1aP/06JSSnFf/tv/40//uM/\npus6/sN/+A/823/7b/nlL3/5XS77o8fpuuL//ttbRpdlw59f7lk2hn7wpASrRnN51fPrl3t2BweF\nICFYLEvGIb+xnJuACVlIupuOxydLPrvsCJ9v2axqFlWZF16LglpL7DQR0kSwE1WT1XGrVhJiZLCe\nR6c1zkdsyOZ1Y8hW6qrMsyUtoV1XpAjjMPLC3ZIioBSCLJpQk6eaF2RHl0GufvYQ8i5gp0ShJNYG\nUiGoa0M3WmSRbc+7g6NvDPLgaEqNayZKIzl0Fh9dXqR9fcv5epnN+jrHFCNKFaQEPqZ8OpNY1or9\nGEgRVgvNYD2qqTipFOMYKE2WlPuYGFygEIIQJnSlOF9XVKWkNnqGsOaDciDy6ct93pXqcmJcLqq7\nXZjtfsS6iUIkbud51XY/ctu5O9JE24C1kcpoLk5bbvY2V4PnLT5MNCV3y7DGSKzL7saPz1rgiwng\n6PMEcyWmFaP3iLfut+vbkdJIbg8jooCnZ29mVde7bLcy2m5W+3HXFoRvdoB/33Lz78O36V3xU9jV\neogfJr7THXZxccHFxQUAbdvyy1/+klevXv3kE9N2N7BsDSkl7Lz/crMbaSrN0Hs+fb7j9U2PnxJ1\npfAxf6oXJC42NS9uoHeBZV3hw0RlNJfXe2zM86punPjZkyXWekLIh7vrI6oQTCScDVSlRhWJZVPi\nQ2AYPWEqSCm32LQEUwqUUpBS/rSvsjV4KgzDkGXqU8iHfxLgApxvDMZk7t2yKqEossxZCkpt2HWW\nSuffqRAFm2XLzX4kTdC5wPUum+kJmRly17eZ8h1ioFSSttZY71lUEhcmTKUoK4VIgnEMhCkS4kQ3\nero+0Naaq23kg/MFH561XO0s7VrT9w4QaFlwCIEkYRg8q7akLhVtqdgss+lfabJU+/aQD/GXr3u0\nFizbLNleLw2jC2wPebesEHBza9G6wChJWyrONxVto1m1JVUpKURiSm/QQJ+/PKBNgdaSV/M1+4O9\na9dZl1t5x1kRwGqZqRtHV9rxbh71xkxwuxtI3KusUhbfnC6r/O9OwrqYrddLOe/IDYwuX/OHPMB/\nl+rAn8Ku1kP8cPG9ffT57LPP+Ou//mv+5E/+5Pu65I8eq0XJbnYyPV1VWD/hw4TW2R22ACgKphAZ\nvOfjxRojCwaXpdVTnIjTxNWhx44JqWVWiMmJf/j8CikVNmT5dV3nFlRZSYYxMg6eshQUBUip6QdL\nYsqGgyJmg0CXaMtMEje6YLOoiDHhdgPrpeHqxjHr75gAo+F6N/Dx4xVaSkpV0LtADBEpFXHKB+er\nw45FVYHI7r1GF9jBUi/qTESoDf1hxEhBU0lebQdOljUwq+2mRF1LFk2JnwKNVvgwkQR3FROTwBiN\n9ZHVokSqAgrBybrCqIKzTc2h8wgmylpyedOzXNQZM7TtOT9p6MeYXV/nVum+dxz6wGF0aC95fdtz\nsW4QcMegO8YH5w3d4Fk1GusnppQotaTSiikJepsXZY3JlImLk/quYnHOst3beY42sVmau2XYI7kB\n8sFdV+oLlPB38e/GtxZJRxt44Q5f+Nr9hPdNl07vt8W+LqEcW51ve029HQ8quR8+fsrih6oqEULQ\n9923et73kpi6ruMv/uIv+Mu//Evatv0+LvmjxmZVc72zTCRWbYlzEzZEuj4fOsvW0B40nfXsb0cC\ncHHS5FaTLFi3JVcHy6FzpClgB0fvErXQlKWi68c7blqtNUoWDNZydtrgrMeogt3e5yTjYTyM1I3B\njy7vMBVHNR64reP8pObRyYrbw8CqNrk1NTp0CZOFSoPUYGSmEwhg2eYqYr8fkarAhsjhZkQZmRE7\n48iHjxcMe8eqNkSj2I8++0b5yDRNHHygNgYpCq5vBzarCu8cTaVoK00p8+zJThM+Zrv5gsTeeRa1\n4vWuJ4aCykiCj+x6h5bZmuKTD9Z8eLHA+4i8PHCyqDAmz+SMkmz3lpeup573fWyI3NxmgnkS0FlP\nqbJr7ejDPLOxgGDZGkiOVZuFK3r+N1m3JWVZ8PK6Z9Uadr1F9J5fPFmwWuSqZHQBY+Qsuc+Jwd3Z\nuwfeThv34a3v2svZrCr6y8PdY3YHx2qRCRe7g72rrgTM98wxwX31W/fbMOf+8bPtnaDhemf5g4++\nHC3zrud/H/E+7Wq9b/FTFT8Mfc+f/ekf3gkevo0lxndOTN57/uIv/oJ//+//Pf/u3/2773q59yb+\n4KPN3afIptT86sUtN2FCiGwVfrKu2PYuK7hqTVMqeut5dX2gLA3OB/aDxQePlIaULP3os0pPQGky\nL653nloqmkpjXWSxqjgcPO2C2aICmrpgtA7izOrzUJqswIPsXrvvLSkJXneHjCzKu6tIsuQcB6Iu\n8n7PaKmqbMAntERplVUWMu8WnSwqtCrwPtA0maTg3EQMka4bEULMjUvBrrPUlQGf2HWOX3ywom00\nzgU++nABCG73lounLZUqSMDLq4HbbqCUChTUWrNaGIwsOJr6XW57/tXHp5ytKhKCwQV+/XyHUpKY\n4Go7sOs8psy6+du9JaXEbZepDcum5Op2ZNVWrJcG6wNPztu76urxeZMRRGX+JFoZDSJxed2x7y2f\nvtjRVHpuvQl+/njzhUPz0VnLy6v8KXCwkc8vu7skeZSUZ3FAuNtjGq1/Z4J4erHg2es9ow1zUhKs\nFiXbvbtzBN4sqoxNgq89wEebTSEhtw2/qqra7oa7pAQwze3Fr6ucfhfxUI29O36q4oejFca3QREd\n4zslppQSf/mXf8kvf/lL/vN//s/f5VLvZWxWNaP1XM3E7kdnLb/67AaA02VNPIvsGk03Bg4Hh9IS\nGyYGO+LjxG43IqRgmhyIgkpnDttmtUQIwTD4XOaOI2erJafLlutDT230bBo40PUepQuYwEWQMjva\nwuwPVOT5Tj6YQaTEOHq0yvtPQubZklY5Qe33luVCc7UdkLKgMhprPYVIyEJQl4ZmJpYXIiFkMe89\nFTRNxfZ2j9E673q5ifWipFQgpaTSGqVyctks6zuu3flpTT8EJiUpdcHHT5Z8EBoOvaVtDMu2xNrc\nirNuwsUIfeLldcfPnqwwWvLPz7YoVTD2nkPv805WN9BEjT8aFAqBIFFXGkWiNAWQeHXdA1CdZeag\nMSqz7O4RvEcXuN25vHu1G+mGmCG2RiJSlnpXpaKt8lxncP6uladNcW8+kqUNlVHzAm7J55cHQLBZ\nll86E3p6vmS7G+jtm5nZcmEoxHHO9Ya193UKveudpZ9VgYONbJblbzzmfY2HhPQQ8B0T01/91V/x\n3//7f+cP//AP+fM//3MA/st/+S/82Z/92ffyP/c+xPVMeBh95OVVT1kb+sFxGB1nJy2vbgduD44Q\nIiZNlErRBUvXDRkpFBLTBEolpjSxXlbIAqYU8DHCBOfnS/rRE2Pk40crLm97tjsLSeBjtklvG00a\nfB7PJBgclAIKDVOMdINFKc000x9cnC3FAVXkxd3gJ5TMlY/RGbsz2gBJUBSJxhguzhr2Bw9T4tFZ\ny2ev90hRIEm4EFg0FcPoqJcNbZst3y9OWpyLyKLgdFFmMUadWXdTEnz+co+WBV03crqu+dM/epIT\nwd6yWZaURvHpy1v2PbiYsUNa5Rbc5XVHTHmHavQTJ+sCoyU+THd4om4MdINj2RjqSjOMnnbT0NaG\nv/3VDZt5/rPvHY82NWaWxL9Zas1tswQYrVjUBhvHTIuoDUZ/EcBalZrtLiHIC81HSgjk/Tc5y+6O\n0upxbvtZl3/ul1Uvm1XN9IVWH6wX7xY2fBWhuzSSwfpZhZ+wPnxh3+jtn3lsWwMUiO+1WnqogB7i\nt4nvlJj+zb/5N/zN3/zN9/X/8t7FkQIhyO0hpQtKpTh9VNEPnuev9yyaEsjLq0pK9r2lKAqEkJSm\nQOncRhECtFR4nziMlhQ9MYJQit2+x6iSKcHo84ypMpKCiSkZYowUJIwqCCHBcVGzyPOmiYRPiegs\ncUqElKujo+tqXcIUQerc3BvCBDKSpimb/025lfX4rGG9MKwaw+myQivJfrC83o5Y52nmQWZioigS\npZLIhUYIweOzlmEMhBhYtDWfvz6wnq3UM/suJ5Pr24H/529f8MmHG9bLMi8N+8AnT9bsOkfpI1pL\nXl8PCAG1lnx+2aNUlotDyu3TtsSogqvdSFEISImmUiQEp5ssI3950zGJbNZXasnr7YDzgZNVjcCx\nXmTBiTaSbDMRWC1KnpwvsD5yuq5n99o3h/XxoL2fRPJsSXwByDpaTzfm5Hvc+7ndw6Ozr37LHdtZ\nx8rst525bGZUEvymSeHbyeJ+2/r7TEoP8u/vJ35K4oej2AH41oKH+/FAfvgG8fisYTfY7GmkRR6k\nC8HTiyU3twPLWhFjrq7kqqDvHfX5imdXe4ro0bXGxdwasiFQCAnSYINFE/GhoK4ySTuGODeDBMtF\ng409XeeJIgESISYksKjyLKYQmYe3P3hiShRGIoiUKi/bhozjwyhBkXIrsKDAukgh0sz0U3dLrqOL\nLGvD1W5k6D3WpXwomuypVNeKgpoYI0lLTpYVzSyFPjmpef76wPXO8eRiwT8827GoFI/OGnZdZg1e\n28DrnWXXeU5XNcvWsFoYbnaWZW0wSvFPv77G+sR25zgMAS0Lnr3uMPLNTtDFumWc8UGVKjBKUOqC\nR+dLvAsces+Tk5bnVx0h5KVYoyRGvZFquxDvsEKbRck2ZWjuZmk4XV5gXUQbyXqRyd/H52XZt+Xp\nxWJOIm9sbe+32ayLGCPnBCHQ897T29XL8fH3r/H2tb5OdXf/uceEdlzS/TIr+PvJ4vueKT3Iv7+/\n+KmIH94WO8C3Ezzcj4fE9BVxnwKxrg3PXx0wushCA2CzqpgSPH+9x/tEWSmUj5hlw4vLLetW4yfJ\nOAYqJRmsY4rpjntX6QJEwRQj0edPt0YZeuuRAl5dd0xpoq0NpImkZ3dWWSDz+AQhVfZsKjXBObyN\nVFWBdxMxQK1ByYIpTEgjURJ8SLS1oixVvgESGKMIcUKGbET46qbj5nZEG8WqNSASRiqWtSaRSCFb\nEiQgkiuu7XZACkHVal687lBSoHTBi5sOMQliykaAdanpR0dBQohcAR33e673B1xMiAJc8LhJIBJs\n2pLeZjr66brithspRML5iZuDQxeS0SdevO5Y1Ippfg1PV1Vu/fmcJM439d1xebIo6cZs6PfiqgNE\n/rSXchsuJsF6MXsiudwaG+0bafez13uenn/xjXf/4Ifss9Tcg7geZeVvP367t9m7aVlSmzcJ48sO\n8vs/53pnOV2Vd4/9MhHBQ7L4acZPRfzwXcQOb8dDYvqKyOqmwOACt53lg/MFCLjZ9tRNZrLZEFm3\nJa9uBmKYsM7z+tZSVyWyEIw2oIXk8rYnRtDa0I95MbOqSrwPaCVYLkpG69E68eSs4W/2PdMUmaaA\nkCVlWeJjpKw03SEgZBafMCUSBVoJZiEWMWSatpSgjKQ0mpEIQtx5Rp2va06WFb0L9KNn1ZQg8jJn\nSokwZauMyUIoNUYLlBb040RdGm7dwHiwfHixoBsd9brh8VnL89c9MUxIJRAzlqgbPDe3PYXMdhjX\n+wEtJcEnJgRaKy5Oap69OnDoHAfnST5blIdpoiklVaWpKo1IAju3+xZNydXeogvBybrE+YlSF9RG\nUijJBFxsGqpSYn1kGPNrKRBsFiWbZUU3Hu7cZvshizGM0Xe7RXZekIXf3Dci8YWD/WiXYmcA6xEM\ne3+P6V2J4rgcnIC0h9EEmkp+5RzpmGDuFnN3ieobJLQfKh7k3w/xXeIhMX1JXN+OjM5zs7e83vYY\nLXl+dUAKWC0q+s7Ti8xRu96N2Bi52Y3se4ugyNVCqRAKbm96SOQE4Rx1qZEFWOtpmxIlBN3o2NSG\nPnr+ettjfSQi8EHgo2NwDgGcrGqWS0N0nrou8W4iFYneRooCUpFVeJUWJCBMEelBSYkqoKkNlVYI\nCWWpWdaK+smaq93I6D3DGNh1IzEJjCkJUz4EV6sGb11G7CSoK8PV7cDV3vKLx0t65/nlh2uaSvPi\n9Y5uBKHh2csdo09oJYgxMcnE/mCpK8XpOlu473tLIRJay0y2CIBIuClSFZJfPD3B+0A3eppaIUQ+\n6Had5WRRcjUlfJg4W1dYH2kbk69zPBYFPDrJ+3XbmQ7x9Dz/fbOs2B5GXm+HrCJ0kV2yPD5ruZ1x\nREevJRD0cyVy3CW6b7N+vR/vzAHBsllUfHjxZq/vyw7m33RqZZaZf/VB/nai/LoK6IdOFg/y74f4\nbeMhMb0jjp9Ib/eWXWeZEnz2cp9hqQK2O8vpuuTV9cCr657RRXbdyNXtgFIyL5EeLDFOyKKgrTRp\nmHAxZBPBKaFkgSwF3ZCl2lpJZBGJfsLHgBAQQyD4vDBaTKAKyfXOZYp1IUhCIMuC3b4HCkQqGN1E\nXeZ9ISmLbBsRA7ooKApJIQoKmUUc+37go/MVLmT7jRBSJnhPIgMaClg1LYtK4UbHelnh/ERMEzFO\nVGVuDe46y88fr/AhcbqpWLSGf/rsltvegiiwziKEZN2W7PYji0VJM5sqnq0qgo84n6nsTaM4WZfc\n3FpqqfhXP9vMrb682FxqDWKCJOa2qqOUkqaa5zJasWxnQoPPENf63jLq5p7K7XhQOxuZUlbZHXoP\nDZnCYRSVySaIx5bds9f7ux3aV1c9q2U2MczLu3B/wfZIavi6RJFFEw57twj8RXjrlz3vGN9k4fYY\nP3SyeEhI3z1+CuKHqioZhv57u95DYroX94fQowtoI3HbxM3B5kNTFrStxs8ChYvThhfXB5wPWW6c\noBAFzgZEIeiGTBc4OV1gLzuSS4i5nRYFCB8JPrJcVNSVoetGTGWQQrI9DCQkMf8uknwAACAASURB\nVE2kuUIxUuRdpH7EKM0w9Pg0UUxQiEChFKWemKaJQiq0LlCFQAqN0gVTygq+zbKkrTN928ZI31l2\nvaWpNet1xfW2Jwk4qytCSoSUWNYlqhCISmFtwIdIWxlKJYnTxBgidA6l8qH64eMl4uXEzTTdLZje\nzu6+RmbLjkTi1XWHfrziaWPYdbkqJMGiMcRpYt/n/TDnJy42DXkPSSNF3tGpjaJ8nEkMm2XJk/Pl\nXfIQCKaU0PrNTtHR1O8o6c4tM8mjk4Z9l1usQgj2nX2z/3OvZff0fMk/fr69s5UfrjyrRZlJ5mX2\nb7KzPHz9DfaHcqKQ3O7dHbV8d7B3HMAvU7Odriu2u4R3geU8B/umFdDb7cS3v/Zl8VD9/Djxvosf\n3ogefvFbix3ejofENMfbqBiBYHewHHrLYTeyXJYYU7BqDKVRvHh94Hpn+fDRks8v90wpURmdETpK\n4GJgaWoWdV6SXFUaasnN3s6JrWB/CLNKDoJ3rJYlg5sI8ydnH6BcSITIwgRSFk4INN3gkEIipMDF\niDEaMQUqXeCmibYuSDGhCsnFSU0SgmlKGFkQQ2J3cHz8ZMFnL3fEKRMfPn3WU1cmm3mlDH5d1Boo\n8DFx3paUSnJ5deDJ6SJLwX2kkJkI3m4yd+5sXfHyqsNP4ONESoLKFKgCFk1JqQomYN95kkikCV7d\njBSzrfqj04bbnUWqAm0Ufe84nZVs1gf2XeDRaXO3i1QZRV2qOxuG47Lq0WwPcpK47UbsGBlcYLu3\nrBeGutSsFhXbw27eY5J0vadtNJ++2GN0wWpRws7y9ELz7HV+rceZzbdsTAaszgKOIw/v+OdvGo9m\nG/Yj8ug42/qy9ly+X7mzh78vfvht7vmvk3M/SL9/vHjfxQ/fp+jhGA+JiXerlZpS8vKqoxsci7ak\nHwI//2DNemH4/NWeaR5af/bZjtNVk2cQcSLEgl3vebxpAUHwgc2qwpiWz18emEQCUbAfAqaUxCkz\n4jaLKrf1ENkYMEFbGx6drPj0xW2GmZYGG3KC0jq3BEOc0EWBIGGUQWmBDokQQqY6hInBR06XDTZk\nAvhgPcZo/unZLUpKRu/ou8BgI/24Z72sqZRCCUFbaaZJMPQWawMiQVVpEgLXZwzQNCV8nBjGQFEI\nnl12FAJCyHij3kSkLPhXH615fdXRNIarbc8YIh+cZ1fZw+A4W1csmyzN3qyqu9ekaQxudvsdXK7W\ntFasFyVNlaXqdoz0JgsbTpYVo4vZ0NDm36sQiXEWOaT5VbYuUpWKV9cdpc7JoB8cTx8tubzp50dl\nlWJdqrzrM98mRitIHuvjXfvtyTy3Gm2upkot31n1fFnlUc4svPsLu2/fp/fv0TfP+00w7NfFt1Ho\nva9qvocK7vc3HhLTl8T2kOGmUuXly9Uib/Tve0dbGw7dgcEHEIJ+dJwua4SAw+CpqpIpTYQ44aeJ\ng3WcLCrqVrHtEsSAkYKCCakVEPKbrABSgSiyicZoHc8v81zKqKxMkz7ii0QxFRy6ESWz1YRUkvNN\ngy4En73agsiKNjMvtg6DY7U0qCK7tR4GB6ng9pAXVLUWmCAoREkpJXWtkKLAu8jgJ06WNaN1PLu8\n5dHpkomJfoxcLEukLhhsJKVMEBBJsGg0f/iLM7ohW3vc7gd+/eyWnz3d8A+f3bDbWepGc3M70j7S\nnKxrVm3mBaZZKg+CDx8v2PeOdWuyND1EPrzI7QLnc9UyuJCXurpcrex7y6o1+DkRjS7iQsBohXPh\nTkpez/tX60V5VysfE9amLZmA19ueZVsy2ID1gXVb8fKmy67ErUYUgpNlSXXP9A9mPuEc9w/yd1Ue\nb+8eWRvvwVvF3fOO/DsEd0q/f6nxUMH9fse/7Lt7jneqlYzCKIVR+RgLMWJ9ZNEYXu17piR4eTVg\nXcDawGj3nK5rLtY1gw28vOmoKgN+otKa568O7LqctNwYEEqigEjC6IpCJkLI86Gm1rgQmKaJSKSs\nS1Z1iQ2RFKFuDNoG5KKi1BJlCmqlaUoJQiAKiRtHyrKkLjVKCtpGU5WG4CNKFrS1Yd85ikJkVJEq\nWLc1Smf1XgyJg89W8csmUxY+e3XAhsD48sA0RdraIE1BaySDzRJnPZMSTjc1t52lAF7fdgxjpjb8\nf/9wiZSSxapEFdnM3PtA1zt8mPAu4MJs2lcrut5xts7cvavtQFNrLrf9HdVi3+eqxYf8OmldUGnJ\n5U3B6bqmEILX254PHy2xLvL6dqTUBVopRp1ZeeXcOtvMtuyji6wXJf/r0xtSyrL83cHx8w9W/N2n\nN2hd4Hx2N/7T/+3i7h76qhht+MIOFHwxYd0XJZyt6y9UA6P1d95Mx/uT9MZC47dR130bhd77Jv1+\nXyu431W8b+KH+3QH+G6Ehy+Lh8Q0x9tqpdFK1q2hMgVXt5a2zoDS0Ua2u5HnVx3LxhBioGkzhVoI\ngXWBzvo8pyFR1oqbnWVKEz5EpCr48IMTXl7tWC0MspCEmFV6292ID5HtPpCmRKEEQmnsmLiJDh88\n66ZCF1AvDctkmKaJi9MFL6/3BBepGs2UBKAIbuKQ/EzozviiIU0IGyhLTV0WdIPAMyGlBiYqU+Cc\nJyVBQV4EjjFytevxYWKacqVSkCkJh94x2ILRBlww5MZc4tBbvEu83vYMYxZwLJqSq9ue227g6cUi\n22lME1IUCATXu4H9waKV5HRdIwVoLTFGUZCyYCMEUoJhDBhd0NTZ06kfM0ewFRpdm7wf5GeRg4Bd\n7yi15HxdZZFCmxl9p6uSZ5fdF1hxR0TPk9M6W70Dxkgur7tsmcEbA8HRht+gJrx9kB+FF9YFhnvg\n2LfjbYLDMcbZmv4Yx1bzUVTyVQfyV7W7vo1C70H6/ePF+yR+eBfdAX57wsOXxUNiuhdvHww//2DN\nq+sDxmQDOWMkn73cc7qqeL0dGAbH04sl272lNpJpSvR2opCCQghUIbA+ZIyQkKyb3I7yIfLRow1G\nFyASRRJc95aUclVh3ZSXYwuFKATGCNzg2JzULOoSWWSaAwja2vDrlzsqY7Ah8utPt5jCgMp7PItK\nA4lSZ2GCICeIECO3ncfHxGbZcrvr0UYhpcD6iRAiWmuMUkwpz4AOvSUJgVYy/36BO2dWqQp8SDy7\n6vjk8QrnE2Up+fDxglfXPduDY9dlHpssBPuDQ0mZhSFLzWZdkkj0g6cpJT5OCJVbggKB0ZLKRGpj\n2PeeptFUqmDXeUqdXWhFUfD4tMbo3H4tjcL5gHMTOzISqdSSnz1ZvVmatYGqlHdcucrI+dO3YpUq\nppQ9uJyL+JDdjOHr5zrHg3y04U6dVxrFYOOdKOObq+jUHZAXZm+mUn3tc79Ju+vbJJn3JSG9bxXc\n7zreJ/HD70Lo8K54SExfEafrikIkunkYvd1blq1BCvjff3nBP352TT96FpXG6AKlJJfXPSIJVgvN\nrsutsKbSBCYmQCloqpJHq5qzdc1t7/j8co8dciti141oBbLIUu+2kkDi46drlJHURud5h/OcrxsO\ng52lzxO3nacbIjBidHZO1VJQG0Vv3dz+Kdh3Y25BholSSw6DvUum1kdiEtwcLKWaE6RWrOuSvndM\nqcgSbFnw0ZMVWgpWmwYfEiFGLlYVzgeSKOh7y8X5AhLsuyynTyR+9mjJ2Wmurc6OcFQfaGrNo9SA\nyBXKarY6f3Ta8qvnO8ZZ/aZ1wbIpgcSum6Gq64pKS4yeE4dWVFpSacmudzPnUAJinjuFO9Vcb7Pc\nHwSViYw+8AdPT+jHLAF/eZ2XZiutuLwZWLSZDHGyqKjKL6eFH7/Wjfn+sS5Ql5KmVL+RWL6qGqlK\nzcmyZphnTPW9edaXPe/3vd31UMH9fsdDYnor3r7Z71OkBRaBYNEapuT40z98wmGwPH/dsVnV/N2v\nrolpIkTodiNtZThbl0iZZxJGBpSGdVvxeFZwkWa5c6VxLrJsK4bBY3TB4DydEKwWFd0QuKgMKU04\nl4kRg41s9wMUkr73TGmiQOBDBKVwIWLKGoGgHz1GS8Iw0daKm/kgvjpYdKmwzmPHAz//8AxS3j2q\nVE4CVa3oXaSpDaONIBIfPFqwbkuMLrg9ZPr6alHSVlkyv92PjC7y/KanMQXLRYkAVq1hs6g4X1cs\nm5K6lAwuUvrcFlu3BucnjCl4fNpSG00hEo/PGh6fNdzO+2InyzKLHoSgMXl/6OV1jxDZnbc2eeb2\nT893nK1qnM8m8x8/yZBXY/LvfGzVHdV31hcY0/Ds8pDl57OEO+WXimWbTSHL2TrjmHS+qiLpx3g3\nI8pOtF8USnyTyua473T/3nzfBQC/68TxkJB+f+MhMd2Lt9/oTZUPguOnsz/4cM31zjI6f2d/XZqW\n03XD3/3qmoTAKEV/GDOXLgTONjWkrCb7+OkaF7ORH8Bunw3djCxmW4hEjAFjNEomKjRVlQ3mpBRI\nJfB+om1K6llwcH6y4FfPdkxMjGMkCUFVaYK3nJ4scttNCgoS3eBp60wqmCYYRofUksPeIoqJ1bLl\n8qbDqILzdYNR2SSvt47eB1KEJBJtqVnXmqYyuJgVZHGaaCtDMfP2SDlBhjBxOQRO1yXrtqS3YXbY\njXf07aNDazO31GLibv/o+Hoc/16dqjnp5YSwbks2y5KXVx1TStRazfinfK1S5/8eK6kjXWF7sJBg\ncIFC5GrRmILVTI3I1UlOJEZn1p7zEaPlXVL6phVJU0kGJ+9+j/uP/TaVzbcBsv7Y7a73PWn+lOKH\nFD+8LWx4O34XQod3xUNimuPtN/rNfmB0GcR5n9789EKz3Q0zhia3gZyLNI1Bq+MMpWCKiSjg1U2P\nEgWrhSZM8Pi0oakNccrUgpQEz68OpBl3lFKgqSqUkjQC2lKRUuLJ6ZIpRG6j42RRkgS8vO4pjeTx\necP1bY8QidhLZCHQtcSFBAhkkYGqbaOJfqIbXZY7L0q2e8vExMXJglJKYpxoa00SeRY0TVDIAkaB\nn11iEQWbZcXTR+1dxVHqgm5wVFqx7x1+miiNhuSpKk3fB7TMVdG2G/ngomV0gZUwd0KCam5xHasQ\nyC23tszzmC8uQKe7ucuxovF+ojb5ay+veqoyO9BCBsJWM1T1ZvZI8j4r+ZatwflANSedXNXkt8YR\nF1RqeafEK40CkfFH3zSO1/sh48dqd/2+txF/6PihxA9fJmx4O75vocO74iExvSPuwzGPLSnrPNky\nvLpr7x33SgRwvq759csdWhaEmHE76zpDRR+fNMQpZam1j2gVWbSaLjr2g52H2ZLeOT56ssG5zKIL\nIeGnRHCBZ5c7/vUn55SjptQFl/PP3+4HNouGpxer/Hdj53WcCYGgqSW6kCxrQ0qJ652lqTT9fPiX\nqiCR7dVNW/DxkxWFyKZ72z7MTqiS7c4SfaQos2CjcyHboPvAsjEc+mwLIbXkZF1x21lCyNeZEpxf\nLLDW01SapxdLQHDoHUIIzjc1t3vL0/OWzaq++6S/3Y9YN7E/WCojeXK+uJNc37eXlwKEYG5/Bnad\npTKKzbJhsLkqO4oN1m3FOHbsutx+zIaM8MkHa3r7RR8jyIfqelHiXOCDs7w0ffyQcr8qsC5mhuE7\n4quql7e/91XX+abXfPtxD/HTjh9K/PBDCRu+STwkpjne9UZPkGcawOev9xgpubCR51cdnzxd51bf\nzpJKxavrgX/9izP+x99fMvpAPyYubzrON23G8ggQAXYHR3CRUhd8fnnIiSdNbLuRdVNCFEhVQJqo\nW02cJppKUxnF1e3Izz5Y8uq652qWYQsE2/1IWRacr1tCTFlKXRpUkQ/eXzxecdNZxt7z+Kzl+rbH\nhsg0ZaK3nyJS5b2tNE08ebLibFXx/HXH3392Q4wJpXLCbUqdZ0M6w00zrSLvE2klWTVQKskvPthk\n7M/S0HU+q/CMQBdZPn+7G5FSonXg81d7lk1u802348yBG7A+8uqmJ82vx/bg2Sz1XQsQ3rT6yln4\nsO8s+8GznNuGAnHniXSsxjKeKL+u67bEmPy9zar+jQrj6CZ7/z45xrEiud6Pd/Omr54Rvbt6+TbX\n+abX/DHjx24jPsRPPx4S071429b65jCQgEOfUTw+RK62A22j+fz1gZNFPQ/IPY9Pc8X0Rz8/Ba75\n1XNPUxv6fkQI2CwNISaqUpIm+Ot/umKxMOiiYJoStcob/8ulRCIIKZOtm6pid7Bc2xEf81vdx4kw\nJZpaI0Xm8pESbVWwXpT8/+3dXWxcV7XA8f+ZOR/zPeOxnXGc1C0xKGlvbwGJhypAg2roByYRUcID\nAiRSJOABLAiiUglISIVE4QHxBCQtrVLEA0VJqiAXITUGBwFSVakl6gWudAs0chN/xOl4vs85c+bc\nhz0zsR3HcWzXc9Ksn1Spdj326rTZy2fvtdeyDF3NLNJD9GWTGIaOFa6TzOhM5m2SsQheA67MqWat\n/b0ZwMfx6tzRlyQeVY1qs5koA556YvF9jUikTipmEjV0tVWnh8j2pajUXLJGmEqlzlxFbRN6XoP/\nHuwG4K2ZImgavuYzNVsm1eziEPIdkgkT2/VIaa1GQX67z13rydVxPcoVl0rVpupGsR2PVMxqn/NF\nTB3D0JmaraCeaCIUyjZp1HlRNBJuJx27OZCxtyuG4zTIJM1rxlfMt1S12+LPz+/CsNIzoqWs9Pvc\nzPfslKAmTXFrkMS0yPwtlpDm49gepUqdmqPu9vgxjTjqa/IlNcMn1RylsKkrxhsTeWKWTjYVYa7k\nEE9YmEYYz4XuLjU9tVh1aPhQrdbRdY1QKIQR1rAste3meaqHWzikMf12hUpzNDdozSIDg7hlEA6r\n8x3dU+dHaBp3bEpSsl1KJYdUzKRWc/DcBls3J5meLWPqYITClMIhkjETp+5TtR2yyQiJsEGx5uI1\nNAwzRMNtYOgh+nviJOMmVwqqBVLUCmOEw1RdD8P16O9N8K+JPLqh4TgeM/kqWzYlyJdsHNcnFjWJ\nRU2uzFXJpiLUanXCRgjf1/jXRB5DD+G6Hql4hKrtEbHU01Cp4lKquLieR9V20TQDy9Cx9DB23cN1\nPXLZBJlUhIuXi5hmCAhTddRwvprrYRlh8LX2tptl6NiORyyi05Vsdj1vXoC90ZOKHOjfHElI62O1\nxQ83KmRYbKMKG1ZCEtMyMqkolWZvNcd18c1QexHF11S5MtDw1ZgCq/mbO0Dda6CHQ8QiJl0JA9PQ\n0fCZyVdxvAbd6SjTVypUXRdfg0ZII6LrhMJgWSbxqBovkS9BRFeH7Z7nEw5ppOMGqZhBoVanXvcI\nh0xCoTC228BxHQrlGslYRFX8hdQICtMIk+uOg+83t9gixGM6xZJDOBzC8xtEDZXwYlGDet0jEjeh\n4qDrIYy6TzYdoSsZoe42yKQjlMrq3M22PZIxk0LFwWk0iFpG+4Krr3lEjRANX8OpN3DqDcJ6CM3X\niMZ03JKDV2+AD//75ix9PXEySbXH3ZOOUio7hPQwWvRq8YOPKraINCvvarZLNhnB92tELR1KqhFq\nxNCboyT89h0gUE9Yre25+Rdg1fde+klluQP99di2ku0vcT2rKX5YaSHDYhtR2LASkphuQC14kEla\nFEo2hbLDpi7VDy+EugjaGo+NBpsyUaZnSyRjBl3JMPGIzsDmFN0ZVVIetcJEfJ2q7bIpG+PidJFo\nLESkK6Yu8EZNwnqoOd4CNnUnyBeqaGjoeohYzOCu/gympeO6qvhg6koF225QqblcKdiEQ1CuFulO\nx7GiBqWKQyJmkoxbWKZBfK7ClXyVBiZxS3UKz6ZN/IbWHi9RA5Ixk950lLdmiqSiOqahFvDu3iSu\nWycTV/eQACxLzUrSgKLv4rkNzOa5T7lik4hZbO6OM3m5TCYdwXE9CsUa6YTa1iuXHUwzTLHskC/W\nyCQjpJMWd78ni+14TOerNBpqKCE+3JFL0fBbBRIu6USUqGmou0IJwFejLiKmrkaXF+3mOAkPDZtt\nW9LXXIBd9f8j67RtJdtfYimrKX4IUiHDakhiuoGIZRA11QVJwwirCrKSi2G0SpG1Bbf5/+dfl4lE\nTHzU6O/BgSyx5oI7sDmNrocoVl0iephSxWFbf4qGpuG6qqN11a2TipqqS0IIolWXWDSM6zbQQyG2\n9Cbx0ehJR4laOheni0xdLqMbGjHN4ApVfDRSCYtSxUYL+ZiGzuW5Knf0JrmzL8Xdd3Xx2v9NY9sN\nTCOE6zZIJ1QPOFX+7ZOKqxHstlsnETObpdnqqaVQsYka6i5Pqjmkbq5k09MVBXxKVZdo1ODiTJGe\ndIzBO7JcvlKmNxvjfQNZpmbLzMxVSKcjFMt1NN8nGjNJxkxMI0zNUW17oqZB1DSoOS66oYYBahpU\nHQ/HVeMsWuPTG36tPcY8HlGj0K8+4agS77lSrV1WfnG2xLb+rpuqblvu69YrkUhCEkIS04rMvyAJ\naivJdVodA3xst053KkK+WCObinJhskjYCJHrTjA1U+K+7ZtoFB3myjUSMVMNyzPDqkmq36BQcXDd\nBqWaw/v6ugCaM4fC4KvKunLFoVhxyKYsdCNMoaS6UFTsOroeplyy8RoN0s1xDRCigQe+KqPuipnN\ncmx1LnL/f23hP2+9jQ/kiw75ZkcFp+7R26WG1qlxECqpoqkmqoWyQ91rEElffT80NLZtyfCft94m\nGbfo6Yoxk69gJUxyzdZDPdl4e7KrZYbpTcexrJDqFK528ppVciYRS/W+a8WaL6h00JVU73GrhVDV\n9ZqDG8PNrbWrDVVbl1drdl11XcfHdnQKZRvDCFOteVycKdHfm1jxk4o80QixMSQxrUC7YqvZosZu\njtG2TDWyuzUGu2bXcVw14tutezhug1xvotkhIoRWVknGMnTSKYv+niQ12213MmidT80VHbUlpaHG\nyAJmWicaNXHdRvOeDcyVbRLNIXq6EcKrN8iXavSkY7xdtrH0EH09ceJRg619qXY36pa7tnQxeblI\nvuS0n1R8X7XmScRMNZ0WNUpCA0oVh3rdI5uOYjaLCMIa7QTS15NgtlADYCCXWjDwznbqxJo/P2rp\nZJLqvbxjUwrbrTM9W23fQ4qY+oKO3a17Y1VH3ZVKJ1QPQ3XBuDW3iGv+/dQTDu33FFS3cmBeMlPn\nRCtNNJKQxEa7NHmJSvMXomQ83l4nlhOkQobVkMR0A60R1jXbaycop9lMdK5oY5l6e3FMJiLky07z\n4L/ZQaD5dKMbYXq6YoQ1VRSQbY4+iFgGfZbqJlGx1TjtmtlMfqZKFobROhuBnq5m3zcfbNcD3+c9\nWzIUyg5hDZJxi8tvl+lOR6i6HumYSU+Xaoy6VOPPiKm32/aUKurzFbtGoezQk45gGGpEhOvW2+15\nWlQV3FWtbc/2ZdHmwLt80QZ8LFNvjiFXbYVaSUPX4I6+ZLvrdmtE+uI7Q/mC30zy6v1u+BpozV6D\ni/rPLS5W2NQd4/KVcrvLxPzuDkIEWTwWJRlXOw8D3T7/tePOFb0uKIUMqyF/Mpcxf3HLJC3mSjU0\nYGBzCtupE9JoVn1dtePOLBcvl9XrfI25kro0WSk5zW4EZnthbWklv6pdJ190MM1Q+/zGcupUnTqZ\npEXNVuMcMgmLuZJNOmZRc1zmSjaZhKqYy6Yj9PfEuXi5vGCQXH9PYt7Pml/yHOVKwWau7KCB6n0X\nDuM3E1/N8YiaBsm4hWl4qviAeYl30VPK4oF3+UKVSLMdUOt1c+WrSUlDo4FPzamTSSxffj2/oS6o\nrb1WP8OVPMnc2a96Hc7v7iBPQCLoUqkMmS51JzCZdG7ZgoabsebEdO7cOQ4fPkyj0WD//v18+ctf\nXo+4AslqbqG1/t5q9l5raS1027Zk2v30Msk0NafOhckCETNMxa5Tsz26W9VvC5JfhHypRgjaRQUq\nialppZHmE0esuY0IaovMdup0Ja32ltr8GID2ttj1Sp63bc0Qi4TpSpjYbp2KrZqVhpqDDyNWiHQi\nokaOJyPt77H4KaVlYVGAvmDMOEA2oUrZQSXjhg+O0yDvq2q85RLGSs95rles0N9ryDmREAG3psTk\neR5PPvkkzz77LLlcjv379zM0NMTg4OB6xddRixe3qKkWsvmLXeucqPX1V1+7cEHu7YoRam7jLbVV\n1ZJJRK5Jdv29iWvGbrdKnFsJcvGTS+sprPX3N7oM2teTxDRUBdzkbBkf1dw0FTfJJtXcofnJdPG/\n7/UslSAyqciCMyMNjVy3KriYf2a13PdcieslMUlIQgTbmhLT+fPnGRgYYOvWrQAMDw9z9uzZd01i\ngqUXt8Ufr7S8OJ2wVvR1SyW7xQvrcqXLq70MenXmj7YgGS9OFDe7sC/1Hi51ZrRUgl0rSULiVlcp\nzGIZ6jw3lMl0OJqNsaZVYGpqis2bN7c/zuVynD9/fs1BBc2N+qddz+Lee8snhBsnu6W+983Es5LX\nvVPbXUs+HS46M5IzHyGu9ciu+9iyZQvATbUYupWtKTHdLm/SWsxPNDdKCKv93kt9fq2XQTcqQcjd\nICGWp2mqn+btZE2JKZfLcenSpfbHk5OT5HK5NQf1brWRC++ttOAHPT4hxMZaUxq+9957efPNN5mY\nmMBxHF588UWGhobWKzaxRjdzcVQIIYJiTU9Muq7zve99jy996UvtcvF3U+GDEEKIjbfmEqhdu3ax\na9eu9YhFCCGEWNtWnhBCCLHeJDEJIYQIFElMQgghAkUSkxBCiECRxCSEECJQJDEJIYQIFElMQggh\nAkUSkxBCiECRxCSEECJQJDEJIYQIFElMQgghAkUSkxBCiECRxCSEECJQJDEJIYQIFElMQgghAkUS\nkxBCiECRxCSEECJQJDEJIYQIFElMQgghAkUSkxBCiECRxCSEECJQJDEJIYQIFElMQgghAkUSkxBC\niECRxCSEECJQJDEJIYQIFElMQgghAkUSkxBCiEDRV/vCo0eP8sc//hHDMBgYGODIkSMkk8n1jE0I\nIcRtaNVPTB/5yEcYHR3lzJkz3HXXXRw7dmw94xJCCHGbWnVi+vCHP0wosfQOhwAABllJREFUpF7+\n/ve/n8nJyXULSgghxO1r1Vt58508eZLh4eFlv8bzPABJYEKI215fXx+6vi7L77vSsu/MgQMHuHz5\n8jWf/+Y3v8mDDz4IwM9+9jMMw2D37t3L/qCZmRkAPve5z602ViGEeFc4e/YsW7du7XQYgaX5vu+v\n9sWnTp3i+eef58SJE1iWtezX1mo1Xn/9dXp7ewmHw6v9kUIIcctbyRNTvV5ncnLytny6WnViOnfu\nHEePHuWXv/wl2Wx2veMSQghxm1p1YnrooYdwXZd0Og3ABz7wAb7//e+vZ2xCCCFuQ2vayhNCCCHW\nm3R+EEIIESiSmIQQQgSKJCYhhBCBsuGJ6ejRozz66KPs2bOHr33taxSLxY0OYUnnzp3jkUce4aGH\nHuL48eOdDmeBS5cu8YUvfIHh4WE+9alP8dxzz3U6pCV5nsenP/1pvvrVr3Y6lGsUCgVGRkZ49NFH\n+eQnP8lrr73W6ZCucezYMYaHh9m9ezff+ta3cByno/E88cQT7Ny5c8EdxXw+z4EDB3j44Yd57LHH\nKBQKgYovSOvLUvG1PPPMM+zYsYN8Pt+ByIJvwxNTEHvseZ7Hk08+ydNPP83o6Cijo6O88cYbnQ6r\nTdd1vvOd7zA6Osqvf/1rfvWrXwUqvpbnnnuOwcHBToexpB/+8Ic88MAD/O53v+PMmTOBi3NiYoLn\nn3+e06dP89vf/hbP8xgdHe1oTPv27ePpp59e8Lnjx4+zc+dOfv/733P//fd39Je4peIL0vqyVHyg\nftH885//TH9/fweiujVseGIKYo+98+fPMzAwwNatWzEMg+HhYc6ePdvpsNp6e3u5++67AYjH4wwO\nDjI9Pd3hqBaanJxkfHycz3zmM50O5RrFYpFXXnmF/fv3AyrRB60TfiKRQNd1qtUq9XqdWq1GLpfr\naEwf+tCHSKVSCz43NjbG3r17Adi7dy8vvfRSJ0IDlo4vSOvLUvEBHDlyhG9/+9sdiOjW0dEzppMn\nT7Jr165OhgDA1NQUmzdvbn+cy+WYmprqYETXNzExwT/+8Q/uu+++ToeywOHDh3n88cfbi0KQTExM\nkM1meeKJJ9i7dy/f/e53qVarnQ5rgUwmw2OPPcbHPvYxPvrRj5JMJtm5c2enw7rG7OwsPT09APT0\n9DA7O9vhiK4vKOvLfC+99BJ9fX3s2LGj06EE2juyihw4cIDdu3df89fY2Fj7a1baY28jaJrW6RBW\npFwuMzIywqFDh4jH450Op+0Pf/gD3d3d3HPPPQTxWly9Xufvf/87n/3sZzl9+jTRaDRw54gXLlzg\nxIkTjI2N8ac//YlKpcKZM2c6HdayNE0L7J+dIK0vLdVqlWPHjjEyMtL+XBD/vATBO9KA6dlnn132\nn586dYrx8XFOnDjxTvz4m5bL5bh06VL748nJyY5voyzmui4jIyPs2bOHj3/8450OZ4FXX32VsbEx\nxsfHcRyHUqnE448/zo9+9KNOhwaovmS5XK79lPnwww/z1FNPdTiqhV5//XU++MEP0tXVBcAnPvEJ\nXn31Vfbs2dPhyBbq7u5mZmaG3t5epqenA9mOLGjrS8uFCxd466232v9Np6am2LdvH7/5zW/o7u7u\ncHTBsuH7LufOneMXv/gFP/3pT2/Y+HWj3Hvvvbz55ptMTEzgOA4vvvgiQ0NDnQ6rzfd9Dh06xODg\nIF/84hc7Hc41Dh48yPj4OGNjY/z4xz/m/vvvD0xSAnVGt3nzZv79738D8Ne//pX3vve9HY5qoW3b\ntvG3v/2NWq2G7/uBjBHgwQcf5PTp0wC88MILgfslKYjrS8v27dv5y1/+wtjYGGNjY+RyOU6dOiVJ\naQkb3pIoqD32xsfHOXz4MI1Gg/379/OVr3yl0yG1vfLKK3z+859n+/bt7a2TgwcP8sADD3Q4smu9\n/PLLPPPMM/z85z/vdCgL/POf/+TQoUO4rsvAwABHjhwJXAHEU089xQsvvEAoFOKee+7hBz/4AYZh\ndCyegwcP8vLLL5PP5+nu7mZkZIShoSG+8Y1vcOnSJbZs2cJPfvKTJQ/4OxHf17/+dY4fPx6Y9WWp\n92/fvn3tfz40NMTJkyfJZDIdiS/IpFeeEEKIQAleCZUQQojbmiQmIYQQgSKJSQghRKBIYhJCCBEo\nkpiEEEIEiiQmIYQQgSKJSQghRKD8P8qh5GaAWrbqAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115800b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with sns.axes_style(\"white\"):\n",
    "    sns.jointplot(x, y, alpha=.1);\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaQAAAGpCAYAAADC0kLrAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115b25a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with sns.axes_style(\"white\"):\n",
    "    sns.jointplot(x, y, kind=\"hex\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXUAAAEDCAYAAADKhpQUAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nJamQ/wN32RD7CaxcPwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115262eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.rugplot(data);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEDCAYAAADDbTRuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115a45128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(data, alpha=.3)\n",
    "sns.rugplot(data);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEDCAYAAADDbTRuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11596d278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(data, kde=False, rug=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW8AAAFzCAYAAADxKIj0AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAEVdJREFUeJzt3WFsVXf5wPHn3l22SC0Oupu6ZiHEGh3TVE3JYphuRlFU\nLLLBFl+o0ZkQfWFNiLIAok10kukrTZwOicnmO/3jFhpMTBQFo1OgmTHG7Y3Z3JrCqHNkWDYH9P5f\nMHEE2t17OL2Xh34+r7Z7z8l5cjn93tNz218rjUajEQCkUu30AAC0TrwBEhJvgITEGyAh8QZISLwB\nEqrN9uSWLVti//790dPTE6OjoxERcd9998Vvf/vbWLBgQSxdujR27NgR3d3dbRkWgLNmvfJev359\n7Nq167zH3vOe98TevXtjz549sWzZsnjggQfmdEAALjRrvFesWBGLFi0677FbbrklqtWzu73jHe+I\no0ePzt10AFzUJd3z3r17d9x2221lzQJAkwrH+wc/+EEsWLAghoaGypwHgCbM+oHlTH7+85/H/v37\n48EHH2xq+9Onz0StdlWRQwGXma985Svxs5/9rKV97rzzzvjOd74zRxPNT5XXWphqfHw8vvCFL5z7\naZMDBw7EfffdFz/5yU9iyZIlTR1kcvLEpU/KOfV6t9eUy5Jzs1z1+sw/yTdrvDdt2hQHDx6M48eP\nR09PT3zxi1+MnTt3xqlTp+INb3hDRES8853vjJGRkVkH8I9ZLl8gXI4GB7uiWq3GoUPOzbIUjndZ\nhKZc4s3lSLzLN1u8/YYlQELiDZCQeAMkJN4ACYk3UIqxsal46qlOTzF/iDdAQuINkJB4AyQk3gAJ\niTdAQuINlGJwsCuWLev0FPOHeAMkJN4ACYk3QELiDZCQeAMkJN5AKaxt0l7iDZCQeAMkJN4ACYk3\nQELiDZCQeAOlsLZJe4k3QELiDZCQeAMkJN4ACYk3QELiDZTC2ibtJd4ACYk3QELiDZCQeAMkJN4A\nCYk3UAprm7SXeAMkJN4ACYk3QELiDZCQeAMkJN5AKaxt0l7iDZCQeAMkJN4ACYk3QELiDZCQeAOl\nsLZJe80a7y1btsTKlStjaGjo3GPHjx+Pz372s7F69eq4++6744UXXpjzIQE436zxXr9+fezateu8\nx3bu3BkrV66MX/7yl/Hud787du7cOacDAnChWeO9YsWKWLRo0XmP7du3L26//faIiLj99tvjV7/6\n1dxNB8BFtXzP+7nnnovrrrsuIiKuu+66eO6550ofCoDZXdIHlpVKJSqVSlmzANCkWqs79PT0xOTk\nZNTr9Th27FgsWbLkNfdZvHhh1GpXFRqQi6vXuzs9Apzn6af/+1/OzXZoOd7vf//74+GHH46NGzfG\nI488EqtWrXrNfZ5//mSh4bi4er07JidPdHoMuIBzs1yzXaTNettk06ZN8YlPfCKefPLJuO2222L3\n7t2xcePG+MMf/hCrV6+OP/7xj7Fx48bSBwZgdpVGo9GY64N4Jy6XqxsuV87NchW+8gbg8iTeAAmJ\nN1AKa5u0l3gDJCTeAAmJN0BC4g2QkHgDJCTeQCnGxqbiqac6PcX8Id4ACYk3QELiDZCQeAMkJN4A\nCYk3UAprm7SXeAMkJN4ACYk3QELiDZCQeAMkJN5AKaxt0l7iDZCQeAMkJN4ACYk3QELiDZCQeAOl\nsLZJe4k3QELiDZCQeAMkJN4ACYk3QELiDZTC2ibtJd4ACYk3QELiDZCQeAMkJN4ACYk3UAprm7SX\neAMkJN4ACYk3QELiDZCQeAMkJN5AKaxt0l7iDZCQeAMkVCu64wMPPBB79uyJarUab3nLW2LHjh1x\n9dVXlzkbADModOU9Pj4eP/3pT+Phhx+O0dHROHPmTOzdu7fs2QCYQaEr79e//vVRq9XixRdfjGq1\nGi+99FL09vaWPRsAMyh05X3ttdfG3XffHe973/vive99b3R3d8fKlSvLng1IxNom7VUo3k8//XQ8\n+OCDsW/fvvjd734XJ0+ejD179pQ9GwAzKHTb5K9//Wu8613visWLF0dExAc/+MF47LHHYu3atRfd\nfvHihVGrXVV8Si5Qr3d3egQ4T/WVS0HnZnsUiveb3vSmuP/+++Oll16Ka665Jh599NEYGBiYcfvn\nnz9ZeEAuVK93x+TkiU6PAeeZnu6KarXq3CzRbG+EheJ94403xsc//vFYv359VKvVuOmmm+Kuu+4q\nPCAArak0Go3GXB/EO3G5XHlzORocPHvlfeiQc7Mss115+w1LoBTWNmkv8QZISLwBEhJvgITEGyAh\n8QZISLyBUljbpL3EGyAh8QZISLwBEhJvgITEGyAh8QZKYW2T9hJvgITEGyAh8QZISLwBEhJvgITE\nGyiFtU3aS7wBEhJvgITEGyAh8QZIqNbpAYDL08jINTE62nwiJiYqEXH2g8tWDA2djpGR/7S0D668\ngRmMjtbOBbkZfX2NuOGG1o4xMVFp6Q2C//GqATPq62vE2NhU09vX690xOdn89q1epfM/rrwBEhJv\ngITEGyAh8QZISLwBEhJvgITEGyAh8QZISLwBEhJvgITEGyAh8QZISLwBEhJvgITEGyAh8QZISLwB\nEhJvgITEGyAh8QZISLwBEioc7xdeeCGGh4fjIx/5SHz0ox+NP//5z2XOBcAsakV3vPfee+PWW2+N\n733ve3H69Ol48cUXy5wLgFkUuvI+ceJEHD58ODZs2BAREbVaLbq7u0sdDICZFbryHh8fjyVLlsSW\nLVviiSeeiLe97W2xbdu2eN3rXlf2fPPSyMhXY3T0kRmfr1YrMT3duODxoaF1MTLyzbkcDbhMFIr3\n6dOn429/+1ts3749BgYG4t57742dO3fGl770pYtuv3jxwqjVrrqkQeeThQuvjmq1Mus2F3t+4cKr\no173HRDlqL7yfXmr51Qr2xc9BgXj/cY3vjF6e3tjYGAgIiJWr14dP/rRj2bc/vnnTxabbp7avPlr\nsXnz12Z8vl7vjsnJExd9bqbHoVXT010RETE5OdX0PrOdm2UdYz6Z7U2t0D3ver0e119/fTz55JMR\nEfHoo4/Gm9/85mLTAdCywj9tsn379vjyl78cp06diqVLl8aOHTvKnAuAWRSO94033hi7d+8ucxYA\nmuQ3LAESEu9kBge7YtmyTk8BdJp4AyQk3gAJiTdAQuINkJB4AyQk3smMjU3FU091egqg08QbICHx\nBkhIvAESEm+AhMQbICHxTsbaJkCEeAOkJN4ACYk3QELiDZCQeAMkJN7JWNsEiBBvgJTEGyChWqcH\nAC5PW49vjjUn/y+WDDaa36laiSXTzW//+4lK7F24ISK+3vqA85wrb4CEKo1Go4W31WImJ0/M9SHm\nlXq922vKnBsc7IqIsx+SN6vVc7PIMeaTer17xudceSdjbRMgQrwBUhJvgITEGyAh8QZISLwBEhLv\nZKxtAkSIN0BK4g2QkHgDJCTeAAmJN0BC4p2MtU2ACPEGSEm8ARISb4CExBsgIfEGSEi8k7G2CRAh\n3gApiTdAQpcU7zNnzsS6devi85//fFnzANCES4r3Qw89FP39/WXNAkCTCsf76NGjsX///rjzzjvL\nnAeAJhSO97e+9a3YvHlzVKtum7eTtU2AiILx/s1vfhM9PT1x0003RaPRKHsmAF5DrchOjz32WOzb\nty/2798fL7/8cvz73/+OzZs3x7e//e2Lbr948cKo1a66pEE567/f6NTr3Z0dhCte0XOtle2dz8VV\nGpd46Xzw4MH48Y9/HD/84Q9n3GZy8sSlHIJXGRzsimq1GocOeU2ZW4ODXRFx9hfDmlWvd7f09V7k\nGPPJbG9qblgDJFTotsmr3XzzzXHzzTeXMQsATXLlnYy1TYAI8QZISbwBEhJvgITEGyAh8QZISLyT\nsbYJECHeACmJN0BC4g2QkHgDJCTeAAmJdzLWNgEixBsgJfEGSEi8ARISb4CExBsgIfFOxtomQIR4\nA6Qk3gAJiTdAQuINkFCt0wPMZyMj18ToaGv/BBMTlYg4+8Fls4aGTsfIyH9aOg4888zZa7tWzrVq\nNWJ6uvntJyYq0dfXaHk2XHl31Oho7VyMm9XX14gbbmh++4mJSstvEFDExEQlxsdb26evrxFDQ6fn\nZqArnK/qDuvra8TY2FRL+9Tr3TE52dw+rVw1wasdO3aipe0HB7uiWq3EoUOtnc8U48obICHxBkhI\nvAESEm+AhMQbKIW/8tRe4g2QkHgDJCTeAAmJN0BC4g2QkHgDpfBXntpLvAESEm+AhMQbICHxBkhI\nvAESEm+gFNY2aS/xBkhIvAESEm+AhMQbIKFCfz3+yJEjsXnz5vjXv/4VlUol7rrrrvj0pz9d9mwA\nzKBQvGu1WmzdujWWL18eU1NTcccdd8Qtt9wS/f39Zc8HJDE42BXVasShQ52eZH4odNukXq/H8uXL\nIyKiq6sr+vv749ixY6UOBsDMLvme9/j4eDz++OMxMDBQxjwANKHQbZP/mpqaiuHh4di2bVt0dXWV\nNdO8sfX45lhz8v9iyWCjtR2rlVgy3dw+v5+oxN6FGyLi660PCFy2Csf71KlTMTw8HGvXro1Vq1bN\nuu3ixQujVruq6KGuWJVKJSoRcVW10vK+ze5TeeU49Xp3y8eAVlRf+T7eudYelUaj0eJlX0Sj0Yh7\n7rknrr322ti6detrbj85eaLQcFe6wcGz362MjU21tF+93t30a1r0GNCqsx9YVuPQIV/vZZntjbDQ\nPe+xsbHYs2dP/OlPf4p169bFunXr4sCBA4UHBPKztkl7FbptsmLFinjiiSfKngWAJvkNS4CExBsg\nIfEGSEi8ARISb6AUg4NdsWxZp6eYP8QbICHxBkhIvAESEm+AhMQbICHxBkphbZP2Em+AhMQbICHx\nBkhIvAESEm+AhMQbKIW1TdpLvAESEm+AhMQbICHxBkhIvAESEm+gFNY2aa9apweYz5555ux75+Bg\nV0v7VasR09PN7TMxUYm+vkbLs8FMRka+GqOjj1z0uWq1EtPTF55vQ0PrYmTkm3M92rwi3slMTFQi\nIqKvr7nt+/oaMTR0eg4nAjqh0mg05vyybHLyxFwfYt4YHOyKarUahw55Tbn81Ovdvt5LVK93z/ic\ne94ACYk3QELiDZCQeAMkJN7J+FlaIEK8AVISb4CExBsgIfEGSEi8ARIS72T8nUAgQrwBUhJvgITE\nGyAh8QZISLwBEhLvZKxtAkSIN0BK4g2QkHgDJCTeAAkVjveBAwfiwx/+cHzoQx+KnTt3ljkTAK+h\nULzPnDkT3/jGN2LXrl2xd+/e2Lt3b/z9738vezYuwtomQETBeP/lL3+JpUuXxg033BALFiyINWvW\nxK9//euyZwNgBoXi/eyzz8b1119/7v97e3vj2WefLW0oAGZXK7JTpVIpew5eZWTkqzE6+shFn5uY\nOPvaDw42LnhuaGhdjIx8c05nAy4PheLd29sbR44cOff/R48ejd7e3hm3r9e7ixxm3vr+978b3//+\ndzs9BhTi6709Ct02efvb3x7/+Mc/Ynx8PF5++eX4xS9+ER/4wAfKng2AGRS68q7VarF9+/b43Oc+\nF9PT07Fhw4bo7+8vezYAZlBpNBoX3jwF4LLmNywBEhJvgITEGyAh8U5ky5YtsXLlyhgaGur0KHCe\nI0eOxKc+9alYs2ZNfOxjH4uHHnqo0yNd8Xxgmcjhw4dj4cKFcc8998To6Ginx4FzJicn45///Gcs\nX748pqam4o477oj777/fT6HNIVfeiaxYsSIWLVrU6THgAvV6PZYvXx4REV1dXdHf3x/Hjh3r8FRX\nNvEGSjU+Ph6PP/54DAwMdHqUK5p4A6WZmpqK4eHh2LZtW3R1dXV6nCuaeAOlOHXqVAwPD8fatWtj\n1apVnR7niifewCVrNBqxbdu26O/vj8985jOdHmde8NMmiWzatCkOHjwYx48fj56enhgeHo7169d3\neiyIw4cPxyc/+cl461vfem7J6E2bNsWtt97a4cmuXOINkJDbJgAJiTdAQuINkJB4AyQk3gAJiTdA\nQuINkJB4AyT0//hzt/fkeFXsAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115a7c160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(rc={\"figure.figsize\": (6, 6)})\n",
    "data = [data1, data2]\n",
    "plt.boxplot(data);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x115a9e8d0>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAX0AAAFzCAYAAADSc9khAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ncfMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11592a198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "normals = pd.Series(np.random.normal(size=10))\n",
    "normals.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x115592780>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAFzCAYAAADFUUnoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1153adcf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "variables = pd.DataFrame({'normal': np.random.normal(size=100), \n",
    "                       'gamma': np.random.gamma(1, size=100), \n",
    "                       'poisson': np.random.poisson(size=100)})\n",
    "variables.cumsum(0).plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<matplotlib.axes._subplots.AxesSubplot object at 0x115272128>,\n",
       "       <matplotlib.axes._subplots.AxesSubplot object at 0x1153416a0>,\n",
       "       <matplotlib.axes._subplots.AxesSubplot object at 0x1159cfef0>], dtype=object)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAFXCAYAAABZbA7IAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n6P8BFHpnOIRppCkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1152473c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "variables.cumsum(0).plot(subplots=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Data Voyager\n",
    "\n",
    "<!-- <iframe src='http://vega.github.io/voyager/' width='800' height='500'> -->\n",
    "\n",
    "<img src='data-science-dataviz/idl-data-voyageur.png'>\n",
    "\n",
    "[Data Voyager](http://vega.github.io/voyager/) automatically generates charts with no input by default (besides loading the dataset). You can interact to get more details and bookmark them."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Scatterplot Matrix\n",
    "\n",
    "\n",
    "<img src='data-science-dataviz/d3-scatterplot-matrix.png' style='height: 600px'>\n",
    "\n",
    "[D3 Scatterplot Matrix](http://bl.ocks.org/mbostock/raw/4063663/)\n",
    "\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "\n",
    "## Scatterplot Matrix Navigation \n",
    "\n",
    "<img src='http://romain.vuillemot.net/img/teaser-french-unemployment-data-exploration.png' style='height: 600px'>\n",
    "\n",
    "INSEE unemployement data exploration using INRIA ScatterDice http://labs.data-publica.com/emploi/. Multidimensional *Grand Tour* visualization."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "<!--<iframe src='https://plot.ly/~jackp/16209/machine-learning-classifier-comparison.embed' width='100%'>-->\n",
    "\n",
    "## Machine Learning Classifier Comparison\n",
    "\n",
    "<img src='data-science-dataviz/plotly-machine-learning.png'>\n",
    "\n",
    "[Plot.ly](https://plot.ly/~jackp/16209/machine-learning-classifier-comparison.embed)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# *Monitoring* Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "<iframe src='https://d3fc.io/examples/streaming/index.html' width=900, height=550></iframe>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "<iframe src='http://www.visualsedimentation.org/examples/simple/bubbleChart.html' width=900, height=550></iframe>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Sparklines\n",
    "\n",
    "<img src='https://camo.githubusercontent.com/7d80d94f8363faf8892acd03c91d86840b628ae9/68747470733a2f2f73332e616d617a6f6e6177732e636f6d2f662e636c2e6c792f6974656d732f336a324d33683052325a305932513248324c30592f53637265656e2532305265636f7264696e67253230323031362d30322d3034253230617425323030372e3033253230504d2e6769663f763d6465613661343731' style='height: 600px'>\n",
    "\n",
    "https://github.com/swingley/baseball-sparklines. Sparklines [design guidelines](http://www.edwardtufte.com/bboard/q-and-a-fetch-msg?msg_id=0001OR) and [best practices for dashboards](https://www.perceptualedge.com/articles/visual_business_intelligence/best_practices_for_scaling_sparklines.pdf)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# *Explanatory* Visualizations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "\n",
    "## D3 & Co.\n",
    "\n",
    "<img src='data-science-dataviz/d3-homepage.png' style='height: 500px'>\n",
    "\n",
    "\n",
    "[d3](https://d3js.org/). Highchart, NVD3, Rickshaw + their framweork-specific charts (React, ember, ..) and [editor](http://tributary.io/inlet/4653053). See full list on http://keshif.me/demo/VisTools or http://www.jsgraphs.com/.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Four Ways to Slice Obama’s 2013 Budget Proposal\n",
    "\n",
    "<img src='data-science-dataviz/nytimes-budget-proposal.png' style='width: 700px'>\n",
    "\n",
    "http://www.nytimes.com/interactive/2012/02/13/us/politics/2013-budget-proposal-graphic.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Temperature, Humidity and Moisture Content (MC)\n",
    "\n",
    "<img src='data-science-dataviz/wood-changes.png' style='width: 600px'>\n",
    "\n",
    "http://woodchanges.com/\n",
    "    \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## How the U.S. and OPEC Drive Oil Prices\n",
    "\n",
    "<img src='data-science-dataviz/nytimes-oil-prices.png' style='width: 600px'>\n",
    "\n",
    "http://www.nytimes.com/interactive/2015/09/30/business/how-the-us-and-opec-drive-oil-prices.html?_r=0\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## A Visual Introduction to Machine Learning\n",
    "\n",
    "<img src='data-science-dataviz/r2d3-intro-ml.png' style='width: 600px'>\n",
    "\n",
    "A [Visual Introduction to Machine Learning](http://www.r2d3.us/visual-intro-to-machine-learning-part-1/) by R2D3\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# *What if* Visualizations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "\n",
    "## 512 Paths to the White House\n",
    "\n",
    "<img src='data-science-dataviz/nytimes-512-paths.png' style='height: 600px'>\n",
    "\n",
    "http://www.nytimes.com/interactive/2012/11/02/us/politics/paths-to-the-white-house.html\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Champions League Predictions\n",
    "\n",
    "<img src='data-science-dataviz/predigy-ucl1516.png' style='height: 600px'>\n",
    "\n",
    "http://predict.re/ucl/\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Birth rate models\n",
    "\n",
    "<img src='data-science-dataviz/flowing-years-probably.png' style='height: 600px'>\n",
    "\n",
    "http://flowingdata.com/2015/09/23/years-you-have-left-to-live-probably/\n",
    "\n",
    "Years You Have Left to Live, Probably\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## What Would It Take To Turn Red/Blue States Red/Blue?\n",
    "\n",
    "<img src='data-science-dataviz/538-swing-the-election.png' style='height: 600px'>\n",
    "\n",
    "http://projects.fivethirtyeight.com/2016-swing-the-election/\n",
    "\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Climate Change Calculator\n",
    "\n",
    "<img src='data-science-dataviz/ft-climate-change-calculator.png' style='height: 600px'>\n",
    "\n",
    "http://ig.ft.com/sites/climate-change-calculator/\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Wrap-up"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## *\"Show data variations, not design variations\"* \n",
    "\n",
    "<div style='float: right'>Edward Tufte</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Design is a Search Problem\n",
    "\n",
    "<img src='https://d262ilb51hltx0.cloudfront.net/max/1600/1*NYCujc1c1gD9Ta5VrX0D7w.gif'>\n",
    "    \n",
    "\n",
    "[Design is a Search Problem](https://youtu.be/fThhbt23SGM?t=32m50s) OpenVis 2014. \n",
    "Animated Gif from [The Journalist-Engineer](https://d262ilb51hltx0.cloudfront.net/max/1600/1*NYCujc1c1gD9Ta5VrX0D7w.gif)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Trends\n",
    "\n",
    "* More advanced interactions combined with fast [server-side rendering](http://bokeh.pydata.org/en/latest/docs/gallery.html)\n",
    "\n",
    "* More reproductive and collaborative dataviz\n",
    "\n",
    "* Data journalism and [the U.S. elections](https://www.washingtonpost.com/graphics/politics/2016-election/primaries/new-hampshire-results-analysis/) for the next trends!\n",
    "\n",
    "* WebGL / Three.js\n",
    "\n",
    "* Virtual Reality dataviz "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Resources\n",
    "\n",
    "Jobs\n",
    "* `<data-vis-jobs@googlegroups.com>`\n",
    "\n",
    "Social media\n",
    "* Twitter [#dataviz](https://twitter.com/search?q=%23dataviz&src=typd) \n",
    "* Twitter lists https://twitter.com/infobeautyaward/lists/data-visualisation-people\n",
    "* LinkedIn topic https://www.linkedin.com/topic/dataviz\n",
    "* Reddit data is beautiful (top 50 sub-reddit), internet is beautiful, some random [discussion thread](https://www.reddit.com/r/dataisbeautiful/comments/435g7b/i_love_live_data_visualizations_heres_every_one/)\n",
    "\n",
    "Learn more\n",
    "* Books: Design for Information, Visualization Analysis and Design.\n",
    "* Design processes explained http://animateddata.co.uk/articles/f1-timeline-design/\n",
    "* Watch Mike Bostock - \n",
    "* Mooc https://twitter.com/YuriEngelhardt/status/697349217027780609\n",
    "* Color http://colorbrewer2.org/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Merci!"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Slideshow",
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.4.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}