friso/python-meetup-preso.ipynb

## python-meetup-preso.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "from wand.image import Image as WImage\n",
    "from pprint import pprint"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Python for Big Data and Machine Learning using Apache Spark\n",
    "----\n",
    "\n",
    "_Friso van Vollenhoven_<br>\n",
    "[@fzk](https://twitter.com/asnare)\n",
    "\n",
    "CTO @ GoDataDriven"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Of course:\n",
    "## http://www.godatadriven.com/careers.html\n",
    "---\n",
    "\n",
    "## With that out of the way, let's dive in..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Following are excerpts from slides from the AMP Camp 3 Big Data Bootcamp\n",
    "\n",
    "## Source: http://ampcamp.berkeley.edu/3/.\n",
    "## Credit: Matei Zaharia / UC Berkeley"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<wand.image.Image: 035c9b6 'PDF' (720x540)>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "WImage(filename='./ampcamp2013.pdf[1]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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TTXFUVkfGgdY9tip7IS/eWI7vQw+gW6mxEP55VRx7+SMVa0XF3jbWbfVGr3ZRtrLt4EqC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\nZjA5Y2MyYjFkY4BqcS0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<wand.image.Image: 1a76ca3 'PDF' (720x540)>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "WImage(filename='./ampcamp2013.pdf[5]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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CcZPLmFYOGJ/WIBxr8rAaei4O6BpPyd0/Oa5Ghz29YOHg1e38GdfJcOOPeT07ZK4M9/Mz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\nCRctsgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<wand.image.Image: 30e0d08 'PDF' (720x540)>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "WImage(filename='./ampcamp2013.pdf[6]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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0auKY+3TWK9usuC4/sTv5qqXZ/u122tXX+rFk1EpSaZ9Gx6d+2dpa7aq2vZv6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\nsLy8jFs27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VeaNuwDev+qqordak8PCtSQJInS0tKrijrno9jI8t69e6mtrTUtIM3NzeYs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DEbdu2czjjY0jhFAx4m2i+xiLpUtqRkwGk2/Gv6effNLst/HaUSjFXsN9fWHWP7jZzGBTaArI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\n",
      "text/plain": [
       "<wand.image.Image: 79b7c54 'PDF' (720x540)>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "WImage(filename='./ampcamp2013.pdf[7]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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DPM+TWq2WO2+SWohFsvV/ztIFYr4LxaJ5njdz0UzrZxol7qJ70GV9aU0k+UfK\nOipbf6tykPO4iHU4L0WvzeuQ9irElbPw/y/i6W+WpypJ77IkbTcqZih7POH9H4buOQcygBYJWiDV\nr91+vz8NTstot9tSq9WmF4VOp1PJRbuK7ap1izzGXMSIHnG/XpO6U+i6PjMsVVVBtHpcVavVcv2q\nzvMC4fzLTFHfx60ftUz4uzJdUOZ/NKinMllb7qJ+dDQajcRjrCrt60jX9el1pd1ux/4oGw6HmV7E\nXFdF6m9YmWvKpuXxMkdEKnteiqa3imtzFWlfpLh0hPsOz4+opFrRVb5U3YAVjmHizltcV7w0UTFD\n2eNRLyeq/Fz3c17aqgeiLiLPTITh2daiJnMIb2swGOz7dDod37Ksme2kTeu5iO32ej2/0+nsG5h8\nNBrNDHCfZ1Dy8AD24VnLxuPxvsHqs+R5eHD0+ckher3evmlloyZICA/SrmnazAxkKm29Xm8mvWnp\nC8/UljaNeJ5jVn+fn0kv7vt5Kk1x5yycX+HZnHx/b+Yv27b3lYnJZDIz8H949j812cD8DJ3zM1hF\nrR+eljs8w2GVaS96PrJeE9KWy1KPwrPkqTIa/ptt2zN/T5tAp8xx5017eFrkeVXU36zXlDwzES46\nj4tOelXVsaYtV8V5yZPeOEWuzVWkfZHnMWpWPHVMaua9tHIWlS9R9+lOpxMZg2TNc8MwZvI7fD2O\nyruiMUPZ4wlPV6/r+r4ZEOenTN/kiVQOdADt+/unlZwvCPMVKO1jmmamm37V282yvbwzWCXNdz9f\nGYtcxKI+tm1PfzTEXegHg0FsuuKONS19RYLo+WOZnwVOBZHzs7qpi1rSbG/j8Tj1hpd0fsKfvOfB\nsqyZIDnpR0DUp9PpTI8xrsyVSXuW85Hnb3mWy3pRz3J8STMMrmMAPb+vIvU36zUl6w/yZeRx0QC6\nymNNW66K62qe632cstfmImlfRgBtGMa+YD78SZrd0/eDoDHL9a5IsJjl3h91rykTM5Q9nvkp0KPS\nq37QEUAvmbqBZw0Yw8vPn6y0QqYqVqvVKjQdZlXbVb/cwi3W4cCu6NSqo9FopjVSfZJ+aKQJt3SG\nK6q6ONq2nfqDQbUyxR3v/C/fLOkLT20aNyXyfN6ELyLz66jv51vD476fzyO1XFIwPx6PfcuyIi9m\nUeV5Pk/C6xmGMZNvnU5nmr9xUyHPr6/OYZYbQpm0xx3PogNodZ3IUp/iyqiu675t24nndV0DaN8v\nX3+zXFOyHtMy8rhoAF31saYtV8V1Nev1vsg5ibs2l037Is+jig06nY4/mUz2HZemab5lWZnu0Wr9\nqPzVNM2v1+u58jlsMBj49Xp937XUNM3YVu2yMUPZ41Fpnq+36r4YzvtNteX7h3wckg3keZ54nlfp\nSxlq5rwqX8RxXVc0TSvdN7GqCVaK8DxvZkxnlefh78MD0sd9H5U3qn9Y1hc/hsNh7HjUSekvU1ai\n1nccR3Z2dkRk/5v1VaZ9kziOkzrm96YpW3+rvqascx4v4vqZtK+y19Wq0pv32lzVPWHRHMcplTfq\n+l7kBe1FpK3sfaDM8SwiXlkXBNAAcmk2m9NROMbj8YG8MAIAkIQAGkAu29vb4rqu6Lou4/F41ckB\nAGDpDuwwdgCqF55A5SDPIggAQBJaoAFk4jjOdLxyTdNkPB6vfV9GAAAW4eiqEwBgPaiJKdRg+oZh\niOu64jiOOI4zM/tgp9MheAYAHFoE0ABEJAig+/1+4hSsmqZJr9dbyNvlAABsCgJoACIS9Gn2PE9c\n152ZqlfTtGmL9CZOSw0AQNXoAw0AAADkwCgcAAAAQA4E0AAAAEAOBNAAAABADgTQAAAAQA4E0AAA\nAEAOBNAAAABADgTQa6Tf70utVpOzZ8/K1taWbG9vi+M4+5YbDoeyu7srtVpNtra2ZGtrS3Z2dqRW\nq0mz2Vz1YaytbrcrtVpNarXaqpMCVIIyLdJsNqXZbM6MXQ4Ai8ZEKmui0WhIt9ud+c51XfE8b/pv\nz/Nkd3c38kahAu3hcCitVmvVh7OW5icIATYdZVpmpphnhkwAy0IAvQaGw+E0eDZNc2a2N8MwRCQI\nnmu12jRQrtfrYhiGGIYhuq6L67rTbVWp2WxOb1DMuQMAAEAAvRZU8KzrugwGg9hlVPDc6XTEsqyZ\nv+u6LiK0wAAAACzaxvaBVv1/D0KfX9VqXK/XMy0zHzwvkq7rYprmWgfmB6ksYHNQ7uIdlLw5KMcB\noHq0QK+BcD/nOCqAVi3Ny2JZ1lIDdgAAgHW3sS3QAAAAwCrQAo2143netL/3OncdqcJwOBRN06Yv\nix40ruuK67qi63ri0xP1hKXo+XZdd1pmNE1L3U74iU5cusLl0DCM6Yu9AACIv0FM0/RFJPUTp9Vq\n7duGYRh+q9UqnbbJZOLbtu0bhjHdtqZpvm3b/mQy2bf8YDDIdCxFP0npbLVaM+kMp3U0Gs0s3+l0\nfNM0fdM0Kzv2+W13Oh3f931/NBr5lmXtOxbbtv3xeFy6LNi2Hfn9YDCYHuP8fqJYluWbpunbtp2p\nbMwf53g8njnO+bwtmp9Fz3FY0Toyf4y9Xs/XdX1mO7quz+x7Mpn4lmX5mqbNLGdZVuJxqvOo8iOq\nzGiaNk1LlHDZihOuo4PBwPf9ctegsuc1KS/SLuVlrn0qj+fLk6oDqs6UvT7HGY/Hvm3bM+VJ1/Vp\n2pPOpcpz0zT3lTPDMCLXKXocRfYFYHMdigB6PB7vu/jPfwzDSAwskoxGo30XzPmb+fy2VxFAj0aj\nfUFNVLAalnaDLnLs89tWgdf8+ZgPvsJBRpUB9GQymR5D2k1uNBpNt9Hr9TKVj/BxRuVXOIAuk59F\nz7Hvl68jcedS07SZ41Hpnz/O+TQbhpGan7quT9fTdd03TXPfMcSdz2UH0GXPa1pexNXPsud1MBgk\npjuch4sIoHu9XuL+w/uMOpdZrrOGYZS+thTdF4DNtVEBdJi6yKUFPOPxeOYCHG4xGY1GMzcgXddz\npyMcfIVbvSaTyUwgkbTtLDfzLMsk3UzD6RQJWvnUTXMymfiDwcBvtVr7Wu2ybrPIsYe3Pb8NtZ3w\nMnHHnrUsJB2LasVMKwNZl4vabziYrNfrfqfT8QeDwbQ8ls3Poue4ijoyfy5N05wGnWo7ah+mafq6\nrvuaps20gM63Jse1IIf3FdXSPJlMZoLGqB86RQPosKzlroprRFrZims4KHNew+k2DGMmH0ejkT8Y\nDHzbtiPPU9a8SRL+sarKigo+1b7Tfiyp4+z1ejOBa6/X8+v1euSP2KLHUXZfADbLgQ+gw60JUTdB\n3/dnbmJ5L/jh4CiqFSd8E44LCJYRQGcJTPJus+yxh7ed1DKjgqGyN7m0YCOtZTlPS3XScaa14hbN\nz6LnuIo6Ej7Ger2euo2kFlfVqmxZVmp+xm1jMpnMtE7PW2YAXcU1Im3bUWW67HkN/y1L16YieZNl\nG0nnORxkF9lXOLCNOsYqjiPrvgBslgM9CofnedOXhSzLin2xKPy3drudaVg5tX01CYplWZEvgpmm\nOf1+VVPuuq47k84qhqWr+tgHg0HsS1rq3Cwy/9R410n76ff707Jh23ah/fR6vci8KpufRc/xIupI\np9OJ/D48znncMapzoY4pTdw2NE2b7i/8guGyreoaUcV5DdfHZQ+fGZ6i3Lbt2PNc9uXbcD3JUt42\nZV8AFu9AB9D9fn/6/0mTlIjMXtyy3sSGw+H0hpP01n+egGARwsFDVWM6V33s6zDCgSoj3W43MkAM\nB0JF0xsXiJTNz6LneBF1JC5vsuZZVSOShI9nVT9eV3WNqOK8hs9Xs9nM3LBQVb5lTX8Zy/xhsOwf\nIQAW60AH0OGbUdqwVuG/Z22tCi+nZqyK+qib2apawcL7rSo42ZRjzyMcGKtgOXy86hgWMbFM2fws\neo4XXUdWKZwPywz+wlZVT6o4r+EZSNvttpw9e1YajYa02+2ZHwaLEE5/2WuW67rSaDRke3t7Js93\nd3f31fMq0r2sfQFYLcaBvmQdWkCxepZlSbvdlm63O9NNQ938DMM4sGM2p6GOHExJ57XX60m325V+\nvy+O48wEgZqmSavVWuuZSrvdrjQajci/hVvpN21fAFbvQLdA5xFu8SgSKPjBC5mpn4PoIB27CgbC\nfTA9z5veAJcRLKxrfpatI8u2qlbnOJt4XjVNE9u2ZTQayWg0kl6vJ7Zti6Zp4nmeNBqNtQ0OVWuw\nSPDDt9frTfN4NBrJYDAo/C7DKvcFYD0cmgA6rQ9kkUeG4T5t6/xSSDidVfUF3ZRjL3Jc6rG1CgzU\ny4Oapi0sgC6bn1Wc40XUkVWa746wCutQT6o6r4ZhSL1el1arJePxeLpsu92uPM3hQL5ot5ZwYN/r\n9Wb6UhuGIaZpSqvVqiS9y9wXgPVwoAPoPC8Ghi+AWYOD8HLr2gojMhs8VBVAb8qxFzH/MmH45cFF\nKZufRc/xouvIKoWPZz69WVrQw+sXDcBXVU8WfV7D06Uvoj98OL+L5lv4CcSiX+Bb5r4ArIeND6CT\nHtPquj4NhtrtduyFfjgcFhphQbUspG1/1cKtquoFoLLW8diremRvWdb0JthoNBb68qBSNj+LnuNF\n15FFizvnjuNMW0br9fq+9KpjDg9NOE8FbmlBZVK5W1U9WcZ5VcedtE7ROhl+16Db7ca23md9Ma/s\n+nmOo+y+AGyIVQ9EXVR4UPrwbGbj8XhmQo7wbFyaps0MiD8ej33btmf+nnea1fAkCGr784P+j0Yj\nv9PpxE7QIRkmAsiyTNKkClHpDA/mPx6P/V6vN5OXRbaZ59jTpiHOulzWspB1f/PLSsLkIFlk3W/Z\n/Cx6jquoI1mPMU85jps4Z34GvfnJRwaDwczU4FGTiITzyjCMmXwajUaZJiHJWu6quEak5VVUvpc9\nr71ez+90OpFpDU/aE3Uus+ZNkl6vN3Oe52dCDKchKh3hSVbmJzDq9Xr7puyOOs9Zj6OKfQHYLBsb\nQIenBp7/zF+ckpaNu+jl0ev1UrefFDQsI4D2/eBGnpbO+aAlbZtljr2qADprWcgTQIdnJpSE2Qmz\nyLPfsmWpyDlOy8MsdWRVAbSapVLTtOkU4eE0J83sN/8jKeoTNxtiWp7NX4PKnteiZavMec2SP3Hn\nKE/eJGm1WqnnRwW5adeYuPxWZSYqXXmOo+y+AGyWjQ2gfT+4uKkbaPgTdTNQLS7zN1hd133btnO3\nPM+bTCa+bduR6dE0za/X67HBx7IC6KR8UK2s84Film0WPfaqAmjfz1YW8gSyvr83jW/UVNB55N1v\nmbLk+/nPcdp6WerIqgLo8Xg800oYDuyyBCmDwcCv1+v7giTTNDP9aMpzDSp7Xovme9Hzqlp548pR\n2rTjefImyzmaT7tqEe50Or5pmrHp6fV6+9IRLh+2bfumaSZOF571OMruC8Dm2PL9DRlfLIHruuJ5\nXuYXYBzHEV3XF9aP03VdcV13ZW/+Z7WICVZWfex5y0KSs2fPiud50mq1VjYEVdn8LHqOF11Hymg2\nm9P+zerypfJJJOj/W+RFLsdxCpebvOVuVfWk6Hn1PE88zyuUr1XVyTJpUOnQNK1wmc5zHGX3BWD9\nHYgAGqiamhRB0zQZj8fcCNdIVAANAMAybfwoHMAiqDfmo0ZwAAAAhxsBNDDHcZylDF0HAAA2EwE0\nMEe1PpumuREThgAAgOUigAZCwjMPhqfjBQAAUAiggRD1cpqmaXTfAAAAkRiFAwhxHEc8zxNN0+i+\nAQAAIhFAAwAAADnQhQMAAADIgQAaAAAAyIEAGgAAAMiBABoAAADIgQAaAAAAyIEAGgAAAMiBABoA\nAADIgQAaAAAAyIEAGgAAAMiBABoAAADIgQAaAAAAyIEAGgAAAMiBABoAAADIgQAaAAAAyIEAGgAA\nAMiBABoAAADIgQAaAAAAyIEAGgAAAMiBABoAAADIgQAaAAAAyIEAGgAAAMiBABoAAADIgQAaAAAA\nyIEAGgAAAMiBABoAAADIgQAaAAAAyGEjA+hmsylbW1u5PsPhcNXJBgAAwAGwkQE0AAAAsCpHV52A\nsgaDQablDMNYdVIBAABwAGx8AG2a5qqTAAAAgEOELhwAAABADgTQADK75+sid9y56lQAALBahzKA\ndl1XarWa1Go16Xa7sct5nie7u7tSq9Wk2WyuOtk4oIbDoWxtbUmtVtv3t6gRZ6KWW7R3fkjkB/65\nyI+8TeQNbxfZaYg0I6rOZ+4I/vbmX4nfzk5j9hO37DpxHEd2d3dnR/RpDkW2/vXsp/be5SSo9t5g\nf6taH4gydKupB2XKp3NOZLcfrD90977v3y6y/Wvx/z6o1LVp/t/hvGkOg7xoDkW8h2M31Ww2ZXt7\nW5rNpniet+ojW7lDGUDrui6GYchwOJRGoyGO40Qu1263pd/vi+M4YlnWqpONQ6jVaonv+9PPKnzm\nDpHf/riIaYj8yS+LjDoi732ryKtenH9bP/2qYH312QTdbld2dnbE8zzp9Xp77120TBH/X+59AKxW\n1xHZ6QZBYK8uYup7f2sORTqviP/3YdYyRewX7uWfcy56sVZLbNueXhPjYqfDYuNfIiyq1WqJ4zjT\nIHowGIimadO/D4dDabfbIiLS6XRE1/WZ9be2tqb/v6rA5rBqNpviOE7mEViWve9w2Zhn27a0Wq2Z\n70zTXOsy9Ok7gv/+1KtETp8M/v8ZN0cv+5xnVBsYv/NDInfcJfKun13Nsff7fWk0GtMbB5BJcxgE\nIYM3bOa+m0MRXROxYkavcs4Fy8zvw9Sz/ZhcRP70bxdpfGQvGJznekHLtkrf/L/Dklq/B28IjrP2\n3tlWXJEgz+q3BGlQsi6njqHr7C1vXC9ivyhYNizPNie2yNn23r/9fxkcnzkb04hlBN/t9kVq7xEZ\n/4yIdmLf4VuWJaZpTp/Oj8fjmdjpMNn4Fugsk6jE6fV6ommaOI4zDZZF9rpuiAQBT71eX/pxhX/Z\nua6b+Lgk6yQxrutmWi7PNldB/fDJs/yy920YhgwGg32fZT7JqLp1QAXPy3THXUELeOblc/TPvufr\nwbbvfzD6757nSaPRENu2qwuenXOJj0hnllNcL32dLNt1Mz5yzZrGvIbZrz9rv9+0bTrnsu83b367\nXrDtuHXy7DvuWJxzQTCXlAbn3mJ5VySNzrnYVlERCfKi8eEgcI4KnouwjCBYnv8YN8wup77v1YOA\nt31r8ANhXtpyzWEQvOra3rK6FnzXjLnnZNn3Tne2pX2nG59HuiYy+PHg/9ufjM0aXdenjUjh2Omw\nObQt0CIimqZJr9eTWq0m7XZbDMOQer0ujUZDPM8TwzD2tRYuynA4lFqtJr1eT9rttjiOI7Zti2EY\nsru7K5qmyWg0mraEO44jzWZzXzDX6XT2BWmq/6YKoC3LEk3TpN1uz7R85tnmKsz/GJr/d/hYPM+T\nZrM508d9vvVXPYIaDAYzwyHWajXxPG/mqUSefYsEZStpiEV1vsOiWqfzynLcWe00kv/9xh8KumR8\n5o79/ZjV34pK23e4lfv+B0X+/YdEPvSJ5P2/+VeCtP7JLwf9t8OBeVSrebfbFc/zygfP861KIsGN\nSt30RIK/1d4bfNf+ZBAs2C8Mbta7/aAlaGQF64U554LAQQUX9gv3t0DNL2MZIt5D+dNYhGqpnA+W\nOq+Ibt1ULX+qlW9Z+61qm/Mtl/P/Vq2defJbtTZO7KAshNcJt55m3XeWYzGu399/2Ll3r2w59+4F\nkqrshkWVw7xpFAkC4/AxG9cHAd58y2jXCZa1XxR//ua3ndZSrp3IVgbDy5j6pbw6l2851wuC3/ot\ns8GuahFu3xqcl/n6n2Xf47fM/nuUci/XTgT76jrR51AtpmliWZZ0u92lxUnrZuMD6LKP8U3TFNu2\npd1uT/tD9/t90TRNOp34Z9GLeuTebDalXq+LruvS7/dlOBxKp9ORRqMhw+FwGsiqIH88Houu6+K6\nrjiOs+9RiuM4UqvVRNd1mUwm031E/WrMus1VUec6rRuF53nT4FQdS6PRkHa7LbquT/Ow1+vJzs6O\n7O7uTh9DtdttGQ6HMhqNZo47676zUi3UShUvBmY97qxUt4mhEwSn890obrwu+O/Tb579WxUvBart\nvfP3g1bluC4c9z8o8s8u7e///kWRG68Vefv7gj7bN14X3U/7n/1KsNxbXy/ywINBN5Eow+FQTNMs\nX/5dL7jxd14R3ABVwBH1CLw5DG6iuhbcDIdusF7jI8H/zwd/jQ8HN86WGdxk27eKaFfstTC5XvA4\nVteCG6l2xd7j86JpzKPx4SCwGb8l2K7rBfuOeDRcqUXsN8s2VV6ldVEokt/qPHZeEaRjvqUx676z\nHIuuzZYR9aOu/swg3d7De4G+ccPsvpJeIMyTRnXM2hVB+Xbu3fvhMd+COnSDerDocpVG/TDVtXzL\ndS89LYz6AVB/ZnDc/duTW9ez7jsLUw+uJf3b93cfCS9mmtN3xVbxpH7l/A1k27YvIn6VyTdNc7pN\nEfE7nc5Sj2kwGPgi4tu2PXOMvV7P931/5m9R/45jWZYvIv54PI483rCs28winJdRH9M0C287Ku1h\nrVZr3zFPJpPI/fZ6ven34/HY1zQtMQ/S9q2OPe/xZc37pG3nOe48fu2Dvm9Y2Zc3rGCdrMu+6Zfj\n//6mX07e92/9P8Hf7/7a3nfnvxW9XbWtcNru/lp8WjVNy5dv8q9833xPtmXN9wTLK4Nx8G97EPzb\nHgT/7n1hb9vqb+H1O6O978aT4DsjdO2yPhx8N54k7z9LGouYT3caexB85tO76P1Wvc0ieRe3jvo+\nvO/xJD4tWfaddiyqPI4nvj95KPh/rbVX3sz3+H7rk8XzKS2N6u/Wh/e+U+kIf6dorex1Lwu1n8F4\n9jN5KP4Yel8I6p7W8v3RvfmWS8uP+WtL1n0XpfI65Tyq+0tVccOm2fgW6KrYtj3tulCkta4q84/9\n437VqV9+w+FQ6vX6tNV6Xr/fF13XI/9WdJtZpLXQLrJVW51H13Vn+n3rur6ve0q9Xp8+gdjZ2RFd\n1yt5HKWGpgszTXOhLz7mOe6DQr3geM/Xgo9y47XxfafDXTtuvDa+q8lKhmmaf2Sc0PojIrMt0qrl\nKdxyOHSD76tolSp6PO1bg3TUn7nXuh6nVdHMsnn3u6pt5hHOG10rl1dpx6K6Z7ieiHepZdq4Ya9s\nDd3q+honCXdnUK3LUX35F9Fnv+vstQwrUV2Lwt1Q6rcE3XCiykXW5fJYxDZFMrfkr8vT6VUhgJa9\nfqOK67rS7XbXot9vHNVXut/vS7PZlGazKZZliW3bM0Gv6std5TazWIcp1rN2i1ABtOd5lZ3zqP7z\ny7rYrGKc6FVb1FjSWetOqq6z1yVjkUx9dh+ul70v8SLSqPp0928PHts3h0HQb79wscHnIvZb9TaX\nVSaKHIsKoFTaTH2vW5EKYOdfplu1Mn31o8T14543eMPeS4yuF3Q5KbNcHovYJjIjgJa9fq2q5VkF\nj4ZhVHcDrZimadJqtabD8XW7Xel2u+K6buFWziq3mdbiqWnawvPWz9hPvdFoTIPbdrst9Xq9dLCb\n9hLhOhz3QbKIMaV1Xa9mJJPmMGjta5lB4KKdiB6GqgpDt1g/0EWlUTsRbLNlBq2XqlXP9RY7xNsi\n9lvlNpdZJooei/rh5ZwL/l+N8qDK2Kr7G4fN99leJpVP3kPBuwqNDwfnNM9yKi+dc/t/CIRfoCy6\n77zUPlN+GIaf2h9Ghz6A7vf70xELer2eGIYxfZEwanzodWQYhnQ6HfE8T/r9/szf1ON7x3GmAavj\nOKmBQdI2s0hrBS3TnUFNghNHVWbXdVMrdrfblX6/L4PBQFzXlUajIY1GQ3q9XqF9r1Ke41bUkxfL\nstbyIviMm5KHsXvCtSKfkWBIuhuvrXbflZ3r9q2XxnNd8CNvFUCEW5y1E/uHG/Me3v8YfBlpVC/N\neQ/FD5GmXoyLGnFgnfabts35USzmLTK/0/ad9Vi0E3vDzbXMvQCuf3v51ue8aVz29oqwjL3RNJrD\n+NbrqOXUCBr9L+wPlNU5qT+z/L6zirqWRC12KY5YhyfOq7Dx40CXoQImkWBiFRVgqolT1LBu60a1\nDof7uaoRO+YLshqCa3d3d9qyXqvV9rX+5tlmFn5o9ryoT5m+wOoHTXiotvBY2bZti6Zpsru7OxP8\nz4/3rc6vbdtimqZYliWWZUm/348d2zJt36uU9bjD2u22tNvtXGOEL9PpK4P/hoeou+fre2M3v/Hv\nB+NTN7vBaCHKHXcGI3GUYVmWeJ43c64L0U7sjXLgPbzX0idSvu/mbn9vnOjGh4Pvwm/yW8bsUGBd\nR2T7V/cPY7eINKqWzXCwrrosxN2Y1UgiWcesXtZ+825TPUoP96ENj+e9yDKRtu+sx6JGBxHZC+pU\nF6Gy3SXS0piXKufdCp4YKd7DwbHOf5LKZssM+iKrESyyLmcZwad9694xqJFWus7e0IJJsu47i66z\n120nabFuV0zTXMvGl2XY+BborC1EUV0Gdnd3xfO86VB24WXVEGfdblcMw9jXN3bVMxGqYffCLMva\n1+9WpVsFSrquS6fTiQwKsm5z1VSQq1qLFTWesxrkvdFoTCfEUQzDENu2p5NkzL80qLqvNJtNMU1z\nX5lJ27eIFOozXoUsx13EjdcFMwyuwo++OAiM3/6+4KO862eDNN14rciv/6zI298fBNFhz7g5GA+6\nKPWjSg0tWfhJVK8eBLA7lxKoJmjY6QbBrP2iYgGJcX1wg9v+teDf2olLEz2EttUy9wKL/u17j+7n\n+95mSWOR1tL2rcGj5TDLqO5lwWXuN882LSNoTWx8ZHYd9RLaovI7y76zHotqZQ4H1aqlt2xf2yxp\nzMPUg202h0FLbRXdS6JeIhTZ6xtdvyW63nZ+eG9oQJHsy3VeEaQ7nCfaiei+2Fm3WYT6IZkyzblq\neEka7veg2/I3sMNk3DjGSea7DKhtaJoWOxVleJnBYDATTK06gBaZHW0hbyuxGnFivqtCmW0um+M4\n4nleYn9qtUzVx5Nl3+uQN1Uf96rccWcwZvOpk/HTiKtlRKoL+MNja/d6veI/jLyHg1bfcIuO93A1\nN3r1uDUpCHfOBfs3bojf56LS6Hp7N/Qyk6Osw37zblPlu3bF/vOzyDKRtu9F5U/VaczDezgYN1qk\nutEoVsF7OOh2VUWe5KW6gKRMONRut6XZbK7NJGsrs+px9IoIjwOd9RMez1WN/SuhcZbjqHF/DcPw\nJ5O9sUnD21534WOcTCbTsaEHg4rHSQUOoHCdMQzDH41G5TcKoHqTh/bGPjc61YyJfBh0Rr6v/2rw\nGYzjF+t0fF3XfV3XiR9839/IFmhk57qu7OzszPTRVaNtHOpfjkBOrutOZ9w6rH3+gI3genuz6G1q\nS/QyhYcrTFrsUpfZg/BUswoE0IfEunc5AAAA2BQE0AAAAEAOh3oYOwAAACAvAmgAAAAgBwJoABvB\ncRzZ3d2Vra2tvfHfm0ORrX89+6m9dzkJqr032N+q1kc5RcvO0F1MOXPOBWNDb/3r2TG6+7fvjfUd\n9W+R4KW5+fWqoPJl/t/h/TSHQXqaw+wToag8zJL3Scek6lD409w/N0Sz2ZTt7W1pNptrMekVDoaN\nn0gFwMHX7Xal0WiIaZrS6/X23gJvmbOTDBCQIqt1KjtdJ5g8Q02yEh4NQY3LG/dvkWCkCTWT3bLH\ndG6Zwf6bwyC479Wzj1/s/8vo710v+DGhxjgX2ZvoJTxO9uANs+vFnMNWqyW6rkuz2ZR+vy+9Xo+X\n6VEaLdAA1pqa+bHVaslgMJB6vb7qJOEwM/Ug8JsP3sKaw+wt1P3bg+C5ZQbbrN8y+3fXm93W/L8V\n+4V7001nkSWNk7nZS1XAOx+kW4bIyAqC29p7yk9H7j0czCg4fkuwz84rgh8ZzWwzD0exLEtGo5Fo\nmia1Wo2WaJRGAA0g1R137v3/PV8Xuf/B+OXi/lZkeTXlum3bhaci38c5l/0GH24Bc73k9bJsN+sU\nu3nSmEfVj/hXue+s21tUXqbtM0v6vIdFGh8Ogt+iU3cr4VboqtK4051t7d7pxqdT10QGPx78f/uT\n5Y7FuD7YjxrD2TKCoD1qau08WaTr0xmJ885mDMyjCweAfT5zh8ibf0WkZYn89seDQPeNPxRMo93s\nipw+KfLet4nceK3I0BH50CeCdZQbrw3WnZ92+82/Eiz33reKvP39e4H5G39I5KdftT8d3W5XPM8r\nHzz3bw9uvuGAQdf2P24eukGrXK8eBAHOueBGbtwQPFLWTgQtbeHJGZxzQRCkgm37hbNdA6KWsYxg\nCuMiaczLORe03M0HS3HT9arH4IM3lO8OkHffVWyv9t7g7yMr/bxkpcpFWNT25rsQzP97vstC1wmC\naPtF8fueXyeu24NK0/avBemNO3d50jh+y+zfRimTb2kngvPQdYrndZyKJkTRNE0sy5JutyutVqva\nNOJQoQUaQKx3fkjkOU8XMY0gUP7tj4u89fVBq/GnLwXM93xd5Bk3ifzfvygy6oi862eD7975+/Hb\nffv7g+2+62dFnvOMYLu//fH9yw2HQzFNUzSt5M3T9YIgVD0SHrwh+C7ukXBzGAQg9VuCwLb9ySBI\n8x7eH7w1PhwsqwLO9q2zrYCuFzzWFgn2rx6Lh1u3i6Qxq8aHg+2o7Y7fEgTly5ihrep959le2nnJ\nw7gh2I76xFF/Vz94wutEracC3XC/3jKytELnTWNeph7Uk/7t1RyTyKXtfaGy/t2maYrnedLv96tL\nIw4dWqABxDKNoGX4nR8KAuifflXw3dvfJ3LP14Jl3vhDs+s85xnBJ9wiPe+NPxRsR0TkxutEfuRt\nwfbnt+U4TjUv+8w/djb14BP3CLt+S9CCFn4xqn5L0Fd1vhuGZey1fupa0ALY/8LePtu3BgFAONDr\nvCLYTnj/edOYlWpFV/vWteQAVqWjigA7776r3J79or3+xFHnJQ/tRLbgTS2jXTH779jjuTcIzquU\n1gqdN415qeNx7t3fn7so9SNy/uXJokm8dE1xHId3KlAYATSAWM99xuy/zYpeXA9v58Zrg/+G+1kr\nK3vRZz6oSAoEwl0RVDAXbl0euuUDx7LH0r41SEf9mcGxJKWlykfvefdd5fbC5yzqvKyDRfTNXuWI\nHCLVtaYrjY8EP3wGP15pNw6gLLpwACjtQ58I+jfvNIJPUutzlOc8I/5vlQ031XVmx41d1At180GL\n62W/8S8ijb160CrpPbw3Zm9US/oiVL3vMttbRTCZRZn+7XHyjsixrsLB8yLyCSiBABpAKe/8UNCl\n47nPEPmTXw76QScFxFE+c0fwYuI8XdfFccq9eS8iQbClxtmd2EH/2UUFVEO3WCvcotKonQhalcdv\nCV4CUy95NT6ymONf5L7LbK/oeVkkXVtMq3jeETmqpIL2sq3FzeHey4gVB89qIiZdX9MfVdgIdOEA\nDrFmsykiwRipRW8mv/3xYLSN+f7LWamuG1FBt2EYe7MOltG+dW9orEVSwVA48NVOBP1Bw7yH97ea\nLiONxvWXXoZ8KP4lL9Xf1DKq7XZS9b6zbE+JOi+LZFyfrfU363JFpPWFXtS+q8jroRvUh/otxUZr\nSUvipR/l0wmZgAJogQYOsXa7Le12W1y3+I309MnghUI1pvOHPrH3gmHcGM/N7t540m9/f/BdVABu\nWZZ4nifdbrfcgWongoBVjQncdfYC2LL9UHf7e2NENz4cfBcelswygr/t9oPAoOuIbP/q/mHsFpFG\n59zsdkSCYDNpmDM1WkXZLh5V7zvv9tLOyyKpF/TC4xZHjSOuykbJ8Y0j6dreKDJl0phX1wnOR5kf\nX+EnCs3h7KcC3W5XTNOkBRql0AINoJSWFQTEb3h78O9XvVjkXf9c5A2/KPLKt4m88e/vD45PnwxG\n3lD/HzVmtEjQQmRZljSbTanX68Vf/unVg4Bq51IgbhnBkF073SCYtV9UrOXXuH5vhAeRIAgODxEm\nEjyCVkFS//a9bggq+Ft0Gtu37u/ioKZFXrSq951ne9oVs+el7HjaeVhG0He38ZHZ9M6PrW3qwbLN\nYfBSZNVdTCwj6FMfHrkkbxrzUD9+yo6WoX4kRQX/JcutajDodDrl0ohDb8v3fX/ViQCw2e5/UOSB\nB/dG1FDfzfdrVhOpjDpBi/UDD6b3l/Y8T2q1moiI9Hq94q1G3sNBq284kPAeriZoUY+tkwI051yw\nf+OG+H0uKo2utxeULPtluqr3nbY9NZGK/y/38nxVLxCq/WtXxJcN7+G9ccIXMT537b3BNuOC2ixp\nzKJ9a/BDIMskOWpimqRJYYrY+teJE+a0221pNpvS6XTEsqycGwdm0QINoLTTJ/cHy1EvBYZFtThH\n0TRNBoOBNJtN2d7eFsMwpNPp5B+dQzuxPxCtqsUvS+CRZZlFpXGVw+hVve8821v1yA1Zz/ngx/dG\nFTGuF+n8cHVpt18Y3wpdRR51nb2XFfO2XodnQVST3uShfiylJbHbnU7dPRgM6PuMStACDWBpwi3Q\nRbiuK/1+X+r1Ov0XES3cAr1pXC/otlB2vOx56gXVRbTEqwA2z7a9h/e/WFukBVy1nodF/MBSLyIT\nOKNKBNAAliZrtw2gsFV32wBwKBBAAwAAADkwjB0AAACQAwE0AAAAkAMBNAAAAJADATQAAACQAwE0\nAAAAkAMBNAAAAJADATQAAACQAwE0AAAAkAMBNAAAAJADATQAAACQAwE0AAAAkAMBNAAAAJADATQA\nAACQAwE0AAAAkAMBNAAAAJADATQAAACQAwE0AAAAkAMBNAAAAJDD0VUnAACWyX/wPvHv/v9WnYyN\nt/WEvyNbJ69ZdTIAYCUIoAEcLhe+Lf7951adio23deHbq04CAKwMXTgAAACAHAigAQAAgBwIoAEA\nAIAcCKABAACAHAigAQAAgBwIoAEAAIAcCKABAACAHAigAQAAgBwIoAEAAIAcCKABAACAHAigAQAA\ngBwIoAEAAIAcCKABAACAHAigAQAAgBwIoAEAAIAcCKABAACAHAigAQAAgBwIoAEAAIAcCKABAACA\nHAigAQAAgBwIoAEAAIAcCKABAACAHAigAQAAgByOrjoBAA4W/8H7xJ/cuepkxHvs26tOwYHge3eK\nf/+5VScj1tbZm2Xr5DWrTgaAA2rL931/1YkAcMA89m3xJ38t/oMT8Sd/TdCKxTtyXLbOPlG2Tl8v\nW6evFzlyfNUpAnCAEUADWDjfu1P8b90nvnenyCMPrDo5OCguPyVb2s2ydeU1sqXdvOrUADhECKAB\nLNW0i8f958R/8L5VJwcbZuvkNSKnr6eLBoCVIoAGsDqPPDDtS7vO/WmxWjOtzJefWnVyAIAAGsCa\nUP2mVTBNv+nDS/VnPnlWts4+kf7MANYOATSAtTTTMk2/6YPv8lPTFwDpzwxg3RFAA1h79Js+mOjP\nDGBTEUAD2Cyq3/TkToLpDTTTykx/ZgAbigAawOYK95v21njylkNuS7s5CJrpzwzggCCABnBgTPtN\nM3nLaoUnNaE/M4ADiAAawIGk+k0zecuSqElN6M8M4BAggAZw4PkP3he8gEi/6UptnbwmCJjpzwzg\nkCGABnC4PPLAdHg8+k3nN+3PfPp6gmYAhxYBNIDD67Fv7wXT9JuOFu7PfPp6XgIEACGABoAp37tT\n/G/dR79p1Z9ZBc0AgBkE0AAQ4bBN3qL6M8vp63kJEABSEEADQBo1eYtqnT4gtrSbZevKa3gJEABy\nIoAGgDzU5C0PTjav37Tqz3zyLJOaAEAJBNAAUMJ08pb7z61nv2nVn1m1NAMASiOABoCKrEu/6a2T\n1wR9mZnUBAAWggAaABZB9ZtWrdMLpkbMoD8zACweATQALJrqN13l5C1Hju8FzfRnBoClIoAGgCWb\ntkznfQnx8lOzLc0AgJUggAaAFVL9pmMnb1EvAdKfGQDWBgE0AKyLUL9p+jMDwPoigAYAAAByuGzV\nCQAAAAA2CQE0AAAAkAMBNAAAAJADATQAAACQAwE0AAAAkAMBNAAAAJADATQAAACQAwE0AAAAkAMB\nNAAAAJADATQAAACQAwE0AAAAkAMBNAAAAJADATQAAACQw9FVJ2Dd+b4vFy9eXHUysECXXXaZbG1t\nrToZuMT3fRER6t0BR71bP9zvDratra3pB+URQMd47LHH5E8+/1X53F3flC/de16ecO2Vq04SKnbf\nAw/Ld15zlejXHZeXPPNxcvrkcW7qK6Ru3n/y+b+VL/3Nw/Klc+flmlMnVp0sVOzur39LnnDtlfLs\nG0/KS571eDl1xTE5cuTIqpN1qD322GNy213fkM98eSJfuOebcvL4UbnicsKDg+S+Bx6Wa06dEP26\ny+Ult1wn36GdpN6VtOWr5h6ISHAT//K5++U3/stdcs2pE/LdN5+Vp95wRq44zsXkIPrSufPyV/ee\nl8/deZ+87vnfId/zpGvk6NGjctll9G5aposXL8q5ybfkN/7L3SIi8rynPo56d4CpevdnX/qqvP4F\n18sLnv44OXr0KD9el8z3fTn/rUfk//zPX5H7HnhYnv/Ux8tTrj8j15y6fNVJwwLcfd+35HN/fZ98\n7s775PufdrX8g50nUO9KIIAOuXjxogz/4pz0P31O/tHznyTfffM1q04SluSvzp2X3/uUK9918zXy\nuuc/To4fP04QvSQXL16UwefulY997mvyvKc8Xl7yrBtWnSQsyd33fUt+71OuPOGaK+V/+rs3UO+W\n6OLFi/Llc+fl331kLM976uPk5X/nplUnCUty3wOPyO99yhURkbf8vZvlzFUnqHcFEEBfcvHiRfmr\ne78h//tHXfn5H/0eWr4OoYe+fUG6wzvkB556pXz/s7iZL8PFixfl7q8/IP/HR115/fc/VZ5wDV2l\nDqP3/te/kpuuFvnR594kx44do94tmO/78o0HHpJ/9cEvUu8OsQ9+ypUrjz0qr3vxk+TYsWO0ROfE\nVUqCi8ljjz0mv/lf75F/+LwnyYnjR8UX4XPIPieOH5VXPVeXvjORv73vvFy4cEH4fbk4vu/LhQsX\n5Df/673y3Kc+Xm685sqVlwE+q/n8w+c9Sf50/E258288eeyxx1ZdNA+8xx57TD44+ro8++ZrqHeH\n+PPSv3OT/PldD8r/9+WvUe8KoJlVghv5fxrdLWevOiHPvukaIWY6vG48e6U89ymPk4/9t7+R139/\n8JIFL1osxsWLF+VP//KrIiLyd2+5gXp3iJ04dlT+h2feKH/wufPy5muukiNHjtAKvSDB09bz8hd3\n3if2K7+XeneInTgWNBr9/p/fJd/1RE0uu+wy6l0OBNAS/Br/8lcvyHfdfJaLCeQ5T368vP8T5+XB\nBx+Uyy+/nAB6QS5cuCDjv7lfnn3TtdQ7yHOe/Dj5wz+/Sx566Gq5/PLLuZEvyMWLF+Uv7vRoLIKI\niDz5O87IQ9++IPed/5ZcT7fFXA59AK0eI3/5b87La178FGEETFx91eWXLijflFOnTtE3bAEuXrwo\nFy5ckK+c3xLj6WeodxCR4AnQl8/dL9976hSjAyyAut/99cSX73sK9Q6BJ3/HGRmfu18ed/a0HDly\nhHqXEQH0pQvKDWev5Nc4prSrTsjWY9+e9oPmglItVe98EdGuvJy6BxERueHslXL+Ww/IhQsX5Pjx\n49S7BXjsscfkwW9fkO3Hn6HeQUSC938effRb9IPOiQA6NPMSFxOEPfroo3Lx4kVeJFwQ6h2iPHbh\nMerdgnC/Q5wLj+3VO364ZnPoA2gRmV6ouZ4g7OLFi0xruyAzN/JVJwZrwxeRiz7B8yJxv8M8X7jf\nFUEArfj8IkcIZWE5qHcIoywsB/UOYZSFQgigL/GFCwr2UBSWg3qHMIrCclDvEEZRKIYAOoQLCrB8\n1DtMURaWhnqHKcpCIQTQIfT+AZaPegeF+/jyUO+gUO+KIYC+hEdaCKMoLAf1DmEUheWg3iGMolAM\nAbTCSxUIoywsB/UOYZSF5aDeIYyyUAgBdAhlCFg+6h0UysLykNdQKAvFMOl5iO/zWcWn996u/MSP\n1VaejvAHy3PYy1rWz0/8WE167+2uPB3Uu4Nh1ed60z4Huf6hGFqgL/FlOQXpn76mJrc825B//tZW\nrmV++e3Nfcs978WmPPO7DDl9RovdVtR6YfXXW/KEm3QREbn7Lld+49fb8oXbHLn9LxwREbnluwx5\n/ovMmeXK7Kv/vq7cfpsj/+fvDKbff+VOV/7sE8O1qshrlJQDrUi9y1qmf/ntzY0oa1n92SeGcsuz\njcS0571OFL2ulF03ziael02Up97909fURCQ4tz/xZjtx2f/lJ3fl/vOe/L1X1KX+OmvVh1mpLPVP\nZHl1sMr6R70rhgA6ZBll6M8+MQwuXjmX+Y13tfctp777R6+z5Cf+mR0Z4EatF/a8F5ty40263H2X\nKz/20p3pxe95LzJFROT22xzpv78rvkhi0J91X1+4zZFPXTo+xZ/7Lw4Gz/Ok3W6LaZpimmbscnnP\ne9YynaWs3f4XjvzyO5ryQ6+oyz/agBt+2rUj6TrxT95s76vDRa8rZdfF4qh6p+u6WFZ8mc5a7/7s\nE0MRCX58/pOEAPqPPtKXj3+kLyIiz3i2cSCv52n1T2R5dZD6t3oE0Jf4InJxiTU+y77ml3nei03p\nfGAg95/35O67XLn/G54MPtqX33t/V/7oI33p/M5Abnm2sW87ar2k/fzGr7fl/vOe/MzPt/ZdJO8/\n78n9571MaU7b13MuBeZR21pm/qdZo6RsrHa7Pf3U63VptVqi67MX9KL1LkuZVn9PKmvf+IYnn7rU\nsrRO5S9JWjrDeXP3Xa7cfacrv/qOpvxf72rLjTfp+34oFL2ulF03yoacgrXmOI6020Eg1e/3pdVq\niWHMnoO89e55LzblU58Yyv/z4b78vVfUI5f5+Ef6csuzDbn9tuDp5abUp7zy3gcXWQerqn8H9FQt\nHH2glSX2NSqyTPi7U6c1ecazDHnui0z5hXd05H9rdeT+85783E/uFtqf7wetCyIi/+Ob7H1/O3Va\nkxu/U6/k2Bax7kLOE1eU0mzblno9uNn2+33Z3t6WZrMpnuftLbSCshJef5qMNShzi7h23Pidujz3\nRab8h0s38998V7uS60rZdal3i2MYxrTleTgcys7OjjQajcL1TkTkGc8y5Ak36fJHH+nH3j/+6CN9\n+YeXAsNV15VV1b9l1sGi61HvqkMAHeIv4ZNlX1HLJK33qtda8pafb8nddwW/cvPuL7zc+fPeQo/t\n9z7QlcZra5nWO3/ek199R1Ne8aJt+Z6btqTx2prcfpuz1POE4jRNk16vJ4PBYNry3G63ZWdnR/7j\nf/yP0+UWUc6ylDVVpkREfvPdbfmem7bke27a2leHspTD3/tAd7rer76jKa95+c7MvvOU5ahlv3KX\nm+m445Y5dUaTJ1zqqlXFdaXsutS9xdE0TTqdjgwGg2nXqW63K9vb2/JLv/RL0+Xyno/ay+sy+Ghf\nvjJXhnwR+eD7uyISdN2Y3/5X7nLl5960K695+Y58/7PPyvc/+6z83Jt2991rPvXJofzeB7rT8t94\nbU1+9R1N+b0PdCPTlXf5rHWwTP1bZh0suh71rjp04Qjxl1iKsuwrapm49V71Gkt+7R3BS1N51lNu\nvNRX6lff0ZS3NFuFXwJK29fdd7ry6U/OvsTlR6x3/3lP3vS6mtxzlyuveq0lp89o8lvvbstrX74j\n/+UvJqXSl8V/v+3P5Htf8xML3cdh5bquvOlNb5Lf/d3flRte+OPiv+AZhbaTVqbTytq73z+QO25z\n5NdaTXnVay2pvTxoLX/CTfp0nazl8O47XRl8tC+f+uRQ7rnLlWc8O2gN8v18ZVkte8dtjrzqtZa8\n6iZd7j/vyetevjNNf5Frxz13uXL3Xa7cGDq2LHmZdl0pu+68L/75J+Vn3vq6rEUAOXieJz//8z8v\nnU5Hnv/a/y1XvfNF5B++1pLffHdbPvj+rrylOduP94Mf6Ert5XU5/w1vurw653ff6cr95z157qXu\ne/ef92T40b785Gtr8u73D6bl/1OfGMrgo335zXe15fSlYPOPPtqXe+5y5dOfGEr7Xb2ZfeZZPmsd\nrKr+iSyvDlZZ/5APAfQleSpGWXfc5sibXldLT1OOynLqtCanz2hyR0Rl+fQnh/J3bt7at84/fpMt\nP20HF8Kftltyx22OfOgDXfnQB7rTAMB8WX2mVSFNln1lObYPvr8rd9zmyPs+PJru/zkvNOX1P7wj\n//bnG9L+9Z5g8139+CcUqndZy5lIfFl7zgvN6d9On9HkOS80962Tpxzec5crz32tJe96315Q4Pv5\ntqGWnT8O82V1ef0P78QeT9TxKcOP9uW3/kPQJ/Yf/6Rd2XWlinX3byzjcijsiU98oojku9/dcZsj\nN3ynLubL6/KhD3RnyuaHPtCV+897Yr6svq9blEhQ1sN1SyTo1vDOdlM++P6u/OM37b1zc89drrzt\n7R151Wv3+gjb/2xXBh/ti/mRvpgvn+1/nXX5rHWwqvo3v9wi62AV9Y8AuxgC6JB1aoGe76MZ913Y\njTfpkZXlxpt0MV+2/8WPcABx6rQm7/1PIxl+rC+f+eRQPn3rUH7r3W35rXe3xXxZXVoZA9a0fYX7\nbs3nRfi7T39yKM95oSlPf9besEFPf1YwPM89d7kLP1dPfPbz5c///M/lpptukjNnzsiRI0cWu8MD\nrN/vS7PZFNcNHoPqui6/+Iu/KLVaTf6PwVcLncssZTprWVP/jkpH1nKo/vvWX+zs236esjz8WDCK\nwY83Zm+yT3+WkZjO+TQbT5z9cXH6jCZv/ElbfvQ1VmXXlbLrRnnq975I/tP/++fy/d/9JLnqqquo\ndyUMh0NpNBrTeqdpmrzjHe+Q17zmNdL62D256p06z+bL6jL8aF8++IGuvOo1QdA6+GhfbrxJlx8M\n1ce0cvHGn7Tlne2m3H/e21eH5svoGxv2dJ/z+8i6fNY6WEX9U/tbRh2suv4hHwLokGWVsac/y5Bf\nf1/8CALf96St2PQkpfGO2xw5fUbbt8yN36nLT9nRQ9DNL/uDL6tPLzqfuXUo/77dlOHH+vKLb23I\nW9/eST22rPtKO7bP3BoMnbTzpP2tjPdf6reG9eZ5nuzu7spwGJxLTdPEsixptVpy4cIFOX/+vIgU\nq3d5ynRSWUsrk3nLYdlt3HGbIzfepMupiHqctI+ZvAn9uPjt/9CW57zQnF5vimwz7rpSxbp5jw3p\nPM+TRqMh/X5/+p1t22Lbtpw5c0a++c1vikj+vPYluD/ceJMun/nkUH70NZbccZsjn7l1KD9ltxLr\nwtvf2pC//LwzLQ8/+horcrmofz/9UovxX37eyXRPjFo+ax2sov6JLLcOVlH/qHfFEEBf4vvrP4xd\n0nrqAvEDL6tXNkTczgtMeed7BmJ+71n5zK3DzNtIWs6PWMaPWe8HX1aXV74mehzTRZ8rfrGX1263\np8GzCpw1bbbvepl6l7ZelrKm/usnbC9LOYwrw3m2odz4nXrsdpLSGV7/zf+iNV3+Pf+hLYOP9mda\n77LmZdp1pey6+46Pelea4zjT4Nk0Tel0OtOXeC9evCgixeqdWv6Vr7bkPZ22nP+GJx/6ne70u/l6\npv7967/UlN//na688jWWvPLVltzzFVfOn/f2LZdUh57+LEP+8vNOpvtG3PJZ62DZ+qe2saw6WEX9\no94VQwAdsqxClKW/ddQySeu951L/qh98aT3XemmuujSEXdZuE2n7yvNYXUTk+15gJm4H68u2g76N\nqROpFDiXmepQlrIW+nfS9tLKYVIZzroNJamuZXmEHM6bN1i2/PFH+/KOtzXkac8y5Mbv1BOXn5d0\nXSm7LhbDMAyxbbvSehc+z698tTUNiv/4Y3155astueq0tq+eqX///u905fteaErz384+wfyD3+nO\nLJdUh/7y807QKpzxvhG1vEi2Oli2/s3n1yLrIPVvtRjGLsRfwifLvqKWiVvv/vOetN7WkM/eOpRX\nvtqSnReaufeX9Lnj847c8xU36Du2xGN75ast+eOP9eWOzy9n2Lq4dKI4TdOk1Wol3sRFFlOHspa1\n60MzdUVtI2s5rGIbatl7vuLKZ24dznx//6UWu7Tjnl/mqjOa/Nt/35MHznvytp/azZzutOtK2XWp\ne4tTdb2bX/6qM9o0iH7gvCc/8horcfkHznvBPAKSXJ7j0vXHl/ol/+BL65nKX9TyWetg2fq3zDpY\ndD3qXXVogQ5Zp5cIo5a55y5Xfv2XmtN/33uXK5/906E8cN6T1zdsefPPtXK/Ka+0f6Ehp85oM7/Q\nv/h5R/7gd4NHdK9v2JnzJ7EFOmKZqO9e8tK6/MHvduVtP7Urb2jY8n2X3uK+5y5Xvvh5R17fiJ9S\nFpulaL3L0hI7v9z8dzc8Iejv+Nlbh9P+giIiN1xqJcpaDqP2peQpy9Nlf3pX/u2v9eT7XmjKn/xh\nX97XaU/3k/fa8bRnGvL6hi3v67Tl13+pKW/+udm+42WuK2XWxWrlPS/h5f/Bqy35g9/tytOfZcjT\nnmkktow+/VmG/PEf9uUlL60nlme1iT/4na78wEvrcuqMJvd+xZX3Xlr2JXMtqXmWz1oHq6p/8/m1\nqDpI/VstAuhLsj6aqWZnGfYVscy9X3GnFVlE5GnPMuRHfsySH3hpXZ72LCN+mxn2d+q0Ju/rtGe2\nLxIEEv/m13rykr+f8TFQ2r7UxdJP/m7nBab8X78/kl94y660f6Exs4kfebW18HPFRWc5Cte7jHVI\n7SPpu9dbtrz73zXln7xyZ/rvN126wWUuh1H7uiRPWd55gSn/4t905N3/e1N+5o17Q12+3rLl1Gmt\n8LXjTf9rSz5761De12nL055pyA+8dK8vZuHrSsl1I5NOvVuK3PXO3x8QPu1ZhvyDH4u5FoeW/xf/\npiM/849r0/J86owmb/pfW+JLd3a7l/77B7/blfYvNOT7XmDKZ/90ON3GzgvMyLqcZfmsdbCS+heR\nXyKLqYNV1T/qXTFbvn+4s+6xxx6TBx54QFofOyc//JxiEzqss9GfDuXUaU2e9qxsYzmPLl2ARCTX\nekX2ldUXP+/IA/cHj9Ce9kxDTi14EhURkQ9/5g559S2PMIzdgqhROP7dx7+au94topw9cN6TL37B\nEZHgR+MNEf0UqyiHebah6mKefSXlzb1fceXer7gLqaNV+dQX75KnnpowjN2CXLx4Ub75zW/K2z9y\nz9Lvd6o878T0Q373v2vK+7tt+cPRRP7zH/blnq+4cvqMJi95aT2yPuZdXslaB4vUP7XeptXBT33x\nLnn6mW/Ii7/riXLVVVfJZZfRuzcLWqBDDuJPCeP5Zq5jU8srefIk776yeuozZy80B/E8HWZ5z+ci\nytlVp7WZsh+17SrKYZ5tpKUnb95c/wRdrn+CXnneYTMtuwxkrbdXndbkh39sdrSMpHXyLp+1Dhap\nf2nHSR08WAigL/FlucPYYb1RFJaDeocwgorlWMd6p8593iEP1+04NhH1rhgC6BAKEbB81DsoFIXl\nWdd6R7/55SMLiyGADqEQActHvQOWb93q3dy7hJUvD1SNAPqSpY7CgbVHWVgO6h3CKAvLsY717p/+\nzy35p/9z9mHX8i6PeORhMQTQIRQiYPmod8DyUe+AcgigQ7ieAMtHvYNCWVge8hoKZaEYAugQfpED\ny0e9wxRlYWmod5iiLBRCAH3J1+//ljz86AU5fpQsgcgDDz0sjzy2JVtbW6tOyoH2yKMX5PyDj8ip\nKy5fdVKwBr7+wLfkiuuYxGHRjh09Kvfcd16uP3tm1UnBGnjk0QvyyAXhfpcTVyoRueyyy+T6s2fk\n3sn5YK57Pof688BDj8jxo0fl5PEjS7mg9Pt9qdVqsrW1Nf00m82ZZVzXlVqtJt1ud+HpWYatrS25\n7LLL5MlXPyJ3fvW+lZ9zPqv/PHLhgtx3/7fkhjNHmQltgS677DJ58pkH5V6P+x2f4PPXX53Ik6+7\nnAA6p0Pf3Kpu5M++7mG57asTuem6a1adJKzYl+75W/mOoxM5duzxcuTIYoPobrcrjUZDDMMQ27bF\nMAxxXVc0bXbq2OFwKMPhUGzbXnX2VGJra0uOHDki+rXH5b/89Xm55aYbVp0krNiX7vmqXH/2jBw7\nFgR53Myrp+53T3n8FfJp5z555k038NT1kDvnnZdrTl0pp04ep97ldOhrztbWlhw9elRe8OQz8qd3\nnZc7v3ofQfQhNnngW3Ln1+6TV+kiV1xxhRw9enRhFxTXdaXZbIppmjIYDFKXFRExjL1paFVQ3Wq1\nVp1tual6d8uNp+TWuy/IF+68lyD6EPvmQ4/IX937t/IPnvSgXHHFzQv/4XqYHTlyRPTHXyVPOXOf\nfP7Oe+V79ZtWnSSsyLcvXJBPfP6v5Eee8m25/PInypEjR1adpI1y6J+TqZawkydPysuf/Kh8+ov/\nXR546JGVP1Lhs5pHyJ/+kis7p78q1159Sk6ePLnQALrf74vneZkC4OFwKIZhzLRMt9tt6ff7C0nb\noqkA+sorr5SXP+l++cJd98p9D3xr5WWAz2o+n/6SK9tXeHLjtVct/IfrYabud1dccYX83adcJXd9\n7T45R1eOQ/v59Bf/uzz51Ddl+ztOU+8KOPQt0CIyvaA87Qln5Xlfv1f+5HO3y3frN9ESfYj8jXde\nPvslV24+/jV52vUn5eqrr5aTJ08u9Bd5VKtyHMdxxLKsfd/V6/XVZlwJR48elZMnT8p3XHu11G46\nJ//vF74k2zc8Xm75TlqiD4vJA9+Sz/6VK99x9Rl54eNOiKZpcsUVV9AHeoEuu+wyOXHihDz+mqvl\nZU+6Wz72RVduuu4a+W5aog+Nbz78iHz2S64cP3pUfuDJJ+Tqq6+WEydOUO9yIrckuKBcfvnlcvXV\nV8vffcY18oonPiBfPvdV+eTtfyVfvverQYu0L3wO2OeRRy/IXV+9Tz7zJVc+594lzzl9tzz/5uNy\n3XXXiaZpcvnlly/kgtJoNGRra2v6QmD45cGolwiHw6GIiOi6LsPhcLqM53nS7Xan/w5zXVcajYbs\n7OzI1taW7Ozs7Gut7na7UqvVxHEcaTQacvbs2X0vLy6j3mmaJt+jXyOvfNJ5mTzwLfmTv7iDeneA\nP6re/Tf3Lrn19i/JM098RV509q/luuuuk9OnT8vx48cXdiMfDodSq9XE8zxpNpuyvb09U9/U96re\nxNUHz/Nkd3dXzp49O10uvG1Vv5rNpjiOI7u7u7K9vS3b29vT+rwql112mRw7dkxOnz4tt9x8ndSf\nGjz5+bhzm9yungStQTnhU/3nbybn5b+5d8l//tzt8qQjd8nLnvC303p37NgxWp9zogX6EtWN47rr\nrpOtrS3RTn5NbrvnIbn7ni358rnHyfFjZNVB8+1HL8jZU1fKqQe/KN9zrS+PO3tWrr32Wrn22mvl\nyiuvXFjrs2VZYpqm7O7uimVZM63IjuNIs9kUXden36kbrmEYYhiGDAYD6ff70u12pdVq7WvBdhxH\narXazL7UTXwwGIhpmtPtqpu+ruvTZZfpyJEjcuWVV07r3VUn/la++DcPyt33fkW+fO566t0B9O1H\nL8hVV5yQax8dy9+/3pfHX6NN692in/pElXnHcaTdbotI0K3KNE2p1+ui67q0223RNG3m5V1VvzRN\nmz4V6na70u12RdO0aTerfr8vrutKt9uVer0u9Xp9uu/xeDxTx5dN3e+uvfZaERE5efweceUBGX/t\nb+SzX/sO6t0BpOrd6Uf+u7z0hovy+Guuluuuu06uueYaueKKK+j/XAC15JKtrS05duyYXHXVVdNH\nXKdOfUO++c1vykMPfVUuXLggFy9eFN/3V51UVEC9jX706FE5cf1pOXXqlJw5c0bOnDkjJ0+eXOiv\nccMwpq1UpmnOBK2O40yXUVRXD7WcaZrT1uT5UTlUy5iIyGAwmNnO1taWDIfD6XbUvlqt1r7uIcsS\nbg07cuTIpXp3Xp7+zW/Kww9/VR599FHxfZ96d0CE690VVwT17uqrr5bTp08v/J0Dkb0yX6/XZ+rO\n1taWtNtt6XQ6M3VBPekJazQaommajEajabBcr9dlZ2dnX132PG9mm47jyM7OzvTH7yrPg3oHQT0J\nOnXqvOgPPCAPPfQ1efTRR7nfHSCq3h07dkyuuOKUnD59Ws6cOSOnT9P3uQwC6JBwEH38+HG56qqr\n5KGHHpJHHnlELly4II899tiqk4gKHTlyRI4ePSqXX365XHHFFXLixAk5fvz4UkYACLcqh8WNtjG/\nXNR3IkFLmOu60ul0Zv6uWthUq5fneeK6rliWtbLgWVEXdlXvTp8+LQ899JA8/PDD0x+uODhUvTtx\n4sS03h07dmxp9c40zZngWQXI9Xp9pi5EdbXodrviOI70er2ZF3rVNlT9cl1XPM8T0zRntpnlfYdl\nUUG0ajAI3+8IoA+WcAA9f79j6LriCKDnqIvKkSNH5Pjx43LllVfKY489xsXkAFIXlSNHjsiRI0fk\nsssuW9pLFGqs5/nHuOEWYrWcuhEr4eB3nrrpa5o27b+pHiUbhjHtLhJuiVsH6sfrkSNH5PLLL6fe\nHWDz9W5ZQ9apMj/fTSnue2X+x6yu6/vqjap34e5RIvufEKl9rYvw/e7YsWNy5ZVX8rT1gAo//VH1\nj8C5HALoGOELi4hwMTmg1AVk2RcSx3H2tUapwDh8cw6/QJj03fzfVDcO0zSnk7REta6tU4uYiEx/\nxFDvDrZV1Luo7lFJ30fVkah6G7XsfLcrJc/IO8uk7ne+78uxY8eodwfUqu53BxUBdAoKHKoWFSiL\nJPd/nr+Jz38XZtt2av9Kx3FE1/V9Mx6uC+odqpY3qHVdV3Rdn/mhGlVvXdfdV5/SAu1lv6ybFfUO\nyI5h7IAly9PiNRwORdO0yAA66iasado0IEhLw7q1ggGL5DhOZJ1J+j6qjsy/VKi6SoW3EfWOguM4\n0u12xbKstf3hCiA7AmhgyZJeIJzvF+04jmiaFvlC03A4nLZ+KfV6Xfr9/nRcWvVpt9vTwFr1q17l\nMFrAskUFtZ7nRQbKrutOW6DDDMOYvlPguq7s7u7O/GB1HGdaH13XleFwOB2vXQ19N98vGsBmogsH\nsGRxLxBG3cgNw5iOO6v6JRqGMR1PViTosqHWa7VaommatNvt6cgbIjIzZm3aS1PAQRP33kBav+j5\nOmLb9nRSFPX3wWAgtVpNut3uzAu/nudN66jad6/X44crcEBs+bwtACzV9va26Loug8EgdVnVQhbV\njUM9SjYMY98jYbWeiOxbF0BxUXVSfacmX+l2u+L7/rSlmjoIHDwE0MASqYkUWq0Wj3KBA2hnZ0c0\nTcv0AxnA5qIPNLBE3W5XROg+ARxUvKALHA70gQYWTE27HX4LnxsscPAkjdEO4GAhgAYWTE1qouu6\nWJYlnU5n1UkCsADqJUJ+IAMHH32ggSXwPI+xXwEAOCAIoAEAAIAceIkQAAAAyIEAGgAAAMiBABor\nFZ4GF8DmoO5WS039DWAzEEBj4dSMeeF/NxoN2draku3tbdna2lp1ErHm5svQIrZV5T4OCuru8nS7\n3Zmpv8ugvgCLRwCNhep2u7K9vT3zXbvdln6/L4PBQHzfl9FotOpkoqBms7nwICqqDJWxvb09HZs7\ny/eHFXV39YrUL+oLsBwE0FgY13Wl2Wzum7JaTSaiZuNjzNTVcBxHarWaOI5TeBu6ri90VsW4MlSG\nZVnSaDT2taDFfX8YUXfXw3z9Squz1BdgeRjGDgujHkcOBoOZ77e2tsS2bWm1WqtO4qE2HA6lVqvJ\nYDBY26nF48pQWdvb22IYhvR6vUzfHzbU3eVrNpvSbrcl6ZacVmepL8Dy0AKNhXAcR4bDoViWte87\nkaD/3HA4lOFwKJ7nxb5AE/W967rTFhjHcaTZbEqz2Ux9qalMS+uy8y5N0rFmyZ/hcDizjDoXUZJe\nbKrq/ET9LaoMVcW2bRkOh/v2G/f9YULdLSbtGFS+5Slb4TxMq7PUF2DJfGABbNv2NU2b+c40TV9E\n9n0Gg4Fv27YfVRyjvrdt2zcMY/o30zR9TdOm2wobjUZ+vV6f2Z9hGKvOnn2ypHM8Hu9bpl6v++Px\nOHf+RJ2HcD6PRiPfMIyZv+m67o9Go8rOT9Q+wsccVYaqMplMfBHxW61Wpu8PE+pudlnKsDpedZxJ\n9TYqv9R3aXWW+gIs19FVB/A4mBzH2feIUT1WjHoMnHf4JtUSMx6PRdd18TxPdnZ2pN1uT/fruq7U\najXRdX36yDPcihMlLR2L6OqQJZ2u68rOzo7oui6j0UgMw5DhcCjNZlNqtZqMRqOZqcLT8sf3/cTH\nwbquS6vVmn4/HA6l3+9P96Xreunz02g0RNO06TLzxxxVhqqiaZoYhrGvLMR9f5hQd7NLK8Ph4+10\nOjP1ttFo5OpqkVZnqS/AchFAYyEcx1nIo8SwwWAwDRo1TRPTNGfeCm+32/uWM00z8SaTNoyUv4BX\nBrKkM26ZXq8n29vb0mw2pdPp5MqfJGp5xTRNMQxDut2udLvdTH1gk/avHuXbtj0NxuePedFlSNO0\nyBeg4r4/LKi72WQpw1HHa1mWuK4r7XZbhsNhZUEv9QVYLvpAYyGWcUENt7iqf4f32+/3xbKsfcsl\n8X0/8bMIWdLZ7/elXq/vW0a9pR/VApSWP2kajYbs7OzI1taWnD17VnZ3d3MdV9L+dV0XXdel2+1K\nu92OTP+iy5BqDcz6/WFB3c0mSxmOO141SkaV5Yz6AiwXATQOrE1pFcmSTs/zYoOJRTxCbTab0u12\nxTRNGQwG0uv1Kn88rLbZbDZlZ2dHzp49K91ut9J9YDNtSt0tWobz/DAAsJ4IoHGg5b0Rb21tJX5W\nmc64ZRzHqfyGrMb7Vf2gTdOsdGxZEZkOf+X7vvR6PdF1XRqNxtLe6I/7UZL0YwXLswl1t2gZ3sRR\nK6gvwCz6QGMh4roVpHFdd+YFNdd1C0/WoF48ynOBr3r81KrSaVlW5DKe54njOFKv1ytNU1RaFtkq\nqLqn1Gq1aRkoWoayisu3ReTnJqHuFhNVhuOo/K1yIhrqC7BctEBjIQzDyNXKovo7qpeHRPamDS7a\ndcC2bXFdV3Z3d2fSkvQinWptjftUYWtra+aFpyzptCxLPM+bad1Ss5KpbeSlbvDdbncaHKv/qhcG\n1Q1Zvf1fpXC/SfVSlXqrX6UhrgzN52HS91HfqRfA5oOcuO8PE+puvPmylFaGo5bzPE/a7bYYhpE7\n8Eyrs9QXYHkIoLEQ6k3zrH1adV2XTqcjw+Fw+shVTUlbdNYz0zRlNBqJ53myvb09s911kiWdhmHI\nYDAQ13Wny+zs7IimaZmGlYvLc9u2pd/vy9mzZ2Vra2saMKvH0eolwt3dXbEsq9IWs0ajMT3W7e1t\ncV03crSCRfSLVgHN/KgFcd8fJtTd7NLKsNJsNmV7e1tqtZqcPXtWXNfdN2pO1ryOq7PUF2C5mMob\nC7O7uyue5+V+tLqIx5uu604fq65za0mWdDqOI57niWEYlfQ9VN1Aovap9rWo8WXTtl+0DKXZ3t4W\n0zT3BTFx3x821N18xxxXhtX03JPJZKbV2LbtUnU3rs5SX4DlIYDGwqjJP2zbrvwFtHWSZQinqMe6\nSLeIMqRGGBmPxzNBTNz3hxF1d0+ZuqsC6GXdZqkvwBKteipEHGydTsfXNM2fTCarTsrCSMwUu+GP\naZqrTubGqrIMTSYTX9O0fdNGx31/mFF3y9fduGnOF4n6AiwHLdBYOIY5QllVliGG48qOPCln2S3Q\nCvUFWDxeIsTCcZFFWVWWobhtUU73I0/KUcMxLhv1BVg8WqABAACAHGiBBgAAAHIggAYAAAByIIAG\nAAAAciCABgAAAHIggAYAAAByIIAGAAAAciCABgAAAHIggAYAAAByIIAGAAAAciCABgAAAHIggAYA\nAAByIIAGAAAAciCABgAAAHIggAYAAAByIIAGAAAAciCABgAAAHIggAYAAAByIIAGAAAAciCABgAA\nAHIggAYAAAByIIAGAAAAciCABgAAAHIggAYAAAByIIAGAAAAciCABgAAAHIggAYAAAByIIAGAAAA\nciCABgAAAHIggAYAAAByIIAGAAAAciCABgAAAHIggAYAAAByIIAGAAAAciCABgAAAHIggAYAAABy\nIIAGAAAAciCABgAAAHIggAYAAAByIIAGAAAAciCABgAAAHIggAYAAAByIIAGAAAAciCABgAAAHIg\ngAYAAAByIIAGAAAAciCABgAAAHIggAYAAAByIIAGAAAAciCABgAAAHIggAYAAAByIIAGAAAAciCA\nBgAAAHIggAYAAAByIIAGAAAAciCABgAAAHIggAYAAAByIIAGAAAAciCABgAAAHIggAYAAAByIIAG\nAAAAciCABgAAAHIggAYAAAByIIAGAAAAciCABgAAAHIggAYAAAByIIAGAAAAciCABgAAAHIggAYA\nAAByIIAGAAAAciCABgAAAHIggAYAAAByIIAGAAAAciCABgAAAHIggAYAAAByIIAGAAAAciCABgAA\nAHIggAYAAAByIIAGAAAAciCABgAAAHIggAYAAAByIIAGAAAAciCABgAAAHL4/wEe0E7fOt0rwAAA\nACV0RVh0ZGF0ZTpjcmVhdGUAMjAxNS0wOS0yNFQyMjozNTozOCswMjowMAYutD4AAAAldEVYdGRh\ndGU6bW9kaWZ5ADIwMTUtMDktMjRUMjI6MzU6MzgrMDI6MDB3cwyCAAAAIHRFWHRwZGY6SGlSZXNC\nb3VuZGluZ0JveAA3MjB4NTQwKzArMMoTYIUAAAAUdEVYdHBkZjpWZXJzaW9uAFBERi0xLjMgUwas\nvwAAAEp0RVh0c2lnbmF0dXJlAGE1ZDc0YWQ5MmMyMDFkZTZhZmZjNTE5MTJkMjRiZjQwMjZlZDM4\nZTM5NTc4MTBkMWE3MGExYzVhMGIyMDZkYTI5xYEnAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<wand.image.Image: a5d74ad 'PDF' (720x540)>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "WImage(filename='./ampcamp2013.pdf[8]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<wand.image.Image: 9559803 'PDF' (720x540)>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "WImage(filename='./ampcamp2013.pdf[15]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<wand.image.Image: cbe3aac 'PDF' (720x540)>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "WImage(filename='./ampcamp2013.pdf[16]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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pXT9Oo9IzqqtV0umaxDR23sG903b9JaLsm8oWaNq+vK2btm273UUGtbRNC3kL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\nNwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<wand.image.Image: 9fa1ce5 'PDF' (720x540)>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "WImage(filename='./ampcamp2013.pdf[17]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<wand.image.Image: e59439a 'PDF' (720x540)>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "WImage(filename='./ampcamp2013.pdf[18]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<wand.image.Image: 4de29ca 'PDF' (720x540)>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "WImage(filename='./ampcamp2013.pdf[26]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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4q/mLrS5x22xrhpNjrYy9m5tTjOpu5STCdrq+3RrvdqinVed0o3tUO+nU7bGwWlc73A/8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\n",
      "text/plain": [
       "<wand.image.Image: 8ee8640 'PDF' (720x540)>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "WImage(filename='./ampcamp2013.pdf[28]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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FieM4+P1+SzJzaAMzSyUQCOTtYz7RUajqo8/nm1SipFB5co/HUzHLe6Hfh5EVj2Lnu9D3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\nNWVmYWRmZTBhYjZiYzAwNmE0M2IyMjM4NGJhM+5qJPYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<wand.image.Image: 9e38bd4 'PDF' (720x540)>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "WImage(filename='./ampcamp2013.pdf[29]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "# %config InlineBackend.figure_format = 'retina' # high-res output\n",
    "\n",
    "import seaborn as sns\n",
    "\n",
    "from pylab import rcParams\n",
    "rcParams['figure.figsize'] = 17, 8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Note: there's full SQL support against RDDs as well\n",
    "Here, we'll just use a small part of that to load JSON files into Spark RDDs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "from pyspark.sql import SQLContext\n",
    "\n",
    "sql = SQLContext(sc)\n",
    "\n",
    "def load_json(fn):\n",
    "    return sql.read.json(fn).rdd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Meetup data set\n",
    "---\n",
    "\n",
    "### Users:\n",
    "\n",
    "    {\n",
    "      \"memberships\": [\n",
    "        {\n",
    "          \"group_id\": \"DomCode\", \n",
    "          \"joined\": 1404716220000\n",
    "        }, \n",
    "        {\n",
    "          \"group_id\": \"Utrecht-JavaScript-Meetup\", \n",
    "          \"joined\": 1425280166000\n",
    "        }\n",
    "      ], \n",
    "      \"city\": \"Utrecht\", \n",
    "      \"user_id\": 31967, \n",
    "      \"hometown\": null, \n",
    "      \"country\": \"nl\"\n",
    "    }"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Meetup data set\n",
    "---\n",
    "\n",
    "Events:\n",
    "\n",
    "    {\n",
    "      \"status\": \"upcoming\", \n",
    "      \"venue_id\": 67856, \n",
    "      \"description\": \" [long event description here] \", \n",
    "      \"rsvps\": [\n",
    "        {\n",
    "          \"user_id\": 65802, \n",
    "          \"when\": 1439922626000, \n",
    "          \"guests\": 0, \n",
    "          \"response\": \"yes\"\n",
    "        },\n",
    "        {\n",
    "          \"user_id\": 29025, \n",
    "          \"when\": 1439890905000, \n",
    "          \"guests\": 0, \n",
    "          \"response\": \"yes\"\n",
    "        }\n",
    "      ], \n",
    "      \"rsvp_limit\": 12, \n",
    "      \"created\": 1439890905000, \n",
    "      \"time\": 1448476200000, \n",
    "      \"duration\": null, \n",
    "      \"group_id\": \"codecave\", \n",
    "      \"name\": \"Let's code some fun stuff!\"\n",
    "    }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "57773"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "members = load_json('./users.json')\n",
    "members.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'city': u'London',\n",
       " 'country': u'gb',\n",
       " 'hometown': None,\n",
       " 'memberships': [Row(group_id=u'onlineoptimizers', joined=1401194987000)],\n",
       " 'user_id': 45734}"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m, = members.take(1)\n",
    "m.asDict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false,
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "members_per_day = (\n",
    "    members\n",
    "    # Remove members without groups\n",
    "    .filter(lambda m: len(m.memberships) > 0)\n",
    "\n",
    "    # Create tuples of (day, 1),\n",
    "    # using the first day a user joined a group\n",
    "    .map(\n",
    "        lambda m: (\n",
    "            datetime.fromtimestamp(\n",
    "                min([ms.joined for ms in m.memberships]) / 1000\n",
    "            ).date(),\n",
    "            1)\n",
    "    )\n",
    "\n",
    "    # group by key, sum values\n",
    "    .reduceByKey(lambda x,y: x+y)\n",
    "\n",
    "    # sort by date\n",
    "    .sortByKey()\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2600"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "members_per_day.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>day</th>\n",
       "      <th>members</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2007-03-03</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2007-03-05</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2007-03-07</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2007-03-12</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2007-03-13</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          day  members\n",
       "0  2007-03-03        2\n",
       "1  2007-03-05        2\n",
       "2  2007-03-07        1\n",
       "3  2007-03-12        1\n",
       "4  2007-03-13        3"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(\n",
    "    members_per_day.collect(),    # Collects the distributed dataset locally!\n",
    "    columns=['day', 'members'])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10ad57290>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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tuVK+DtgAEIbh+iAI9gFTD3u9ANjPoZKdf9j2/CNsP9K2w49xVD16dCYrK96l6tNRYWF+\n8zup3XJ+qcvZpTbnl9qcX2pzfqnN+aWuVJjdk69toaa2gS9eO5nRw3vHHecDLSnlt3DoNvQvBkHQ\nn0Nl+oUgCM4Pw3ABcCkwH3gT+F4QBLlAJ2AshxaBWwxcBrzVtO/CMAwrgyCoC4JgOFDModvfv32s\nEGVl1SdwejoZhYX5lJRUxh1DJ8j5pS5nl9qcX2pzfqnN+aU255e6UmF2DY1J5r+1lfzO2Uwe1qPN\n8x7rQ4uWlPL7gF8FQfD+M+S3APuAe5oWclsNPNa0+vrPgEUcui3+a2EY1gZBcBfwQBAEi4Ba4Mam\n47x/K3wm8HwYhm8d/6lJkiRJknRsy9bv5UBNPbOnDyIrs319M3izpTwMwwbgpiO8dMER9r0XuPdD\n22qATxxh3z8BZ7U0qCRJkiRJxyuKIhYs2w7AuZP6xZzmz7WvjwgkSZIkSWpFr63cxarNZYwZ3J0B\nhV3jjvNnLOWSJEmSpA4pGUXMe2MLmRkJPnv52LjjHJGlXJIkSZLUIa0qLmXnvmrOGFtE7255ccc5\nIku5JEmSJKlD+uNb7wFwyfSBMSc5Oku5JEmSJKnDWbh8ByuLSxk9qDtD+xbEHeeoLOWSJEmSpA6l\nMZnkyVeLyc3JbLfPkr/PUi5JkiRJ6lCWrd9LWWUtZ0/oS5/u7fNZ8vdZyiVJkiRJHcr8JdsAuGha\n+32W/H2WckmSJElSh7FpRwVrt+5n7JAe9O/dJe44zbKUS5IkSZI6jEfmrwfgqrOHxhukhSzlkiRJ\nkqQOYcuuSjZsL2fSiF4Eg3vEHadFLOWSJEmSpA7hpaXvP0s+IOYkLWcplyRJkiSlvF2l1byxeje9\nu3ViwvBeccdpMUu5JEmSJCmlNTQmuWfuKuobklx7wQgyEom4I7WYpVySJEmSlNLeWb+X4p2VzBhf\nxBlji+KOc1ws5ZIkSZKklPbauzsBuHzGkJiTHD9LuSRJkiQpZVVU17GyuJTBRV0ZUNg17jjHzVIu\nSZIkSUpZc1/dTGMyYuaEfnFHOSGWckmSJElSStqyq5L5S7dR1LMz50zsG3ecE2IplyRJkiSlpIXL\ndwBww0Uj6dwpO+Y0J8ZSLkmSJElKOXX1jbyxejc98nOZmELfS/5hlnJJkiRJUspZEpZQU9vAzAl9\nychIne8l/zBLuSRJkiQppVRW1/Hbl9aTkUhw7qTUXODtfZZySZIkSVJKWbRiJxXV9Vxz7jD69Ogc\nd5yTYimXJEmSJKWMKIpYuHwH2VkZXDhtQNxxTpqlXJIkSZKUMtZuKWNPWQ2nB4V0SdEV1w9nKZck\nSZIkpYSqg/U88HwIwEXTBsacpnVYyiVJkiRJKeH5N99jT1kNl80YwogB3eKO0yos5ZIkSZKkdq+u\nvpFX3tlOl05ZXHn20LjjtBpLuSRJkiSp3VsSlnCgpp7zpwwgNzsz7jitxlIuSZIkSWrXoihi0Yod\nACn/veQfZimXJEmSJLVrb63dw9qt+xk3tAdFPVP7e8k/zFIuSZIkSWrXFiw7dJX8ptlBzElan6Vc\nkiRJktRulVfVsXZrGSMGFHS4q+RgKZckSZIktWPvrCshimB60CfuKKeEpVySJEmS1G69He4B4DRL\nuSRJkiRJbWfj9nLWbtnPsH759OrWKe44p4SlXJIkSZLULv3u5Q0ko4hrLxgZd5RTxlIuSZIkSWp3\ntu05wPpt5UwY1pOxQ3rEHeeUsZRLkiRJktqdl9/ZDsCFUwfEnOTUspRLkiRJktqVAzX1vL5qFz3y\nc5k0slfccU4pS7kkSZIkqV25/9m1HKxr5JLTB5GZ0bFra8c+O0mSJElSStlbXsM760oY1q+A2WcM\nijvOKWcplyRJkiS1G6+u2EkEXDC1PxmJRNxxTjlLuSRJkiSpXYiiiDdW7yYnO4PpY/rEHadNWMol\nSZIkSe3Ce3sOsKeshknDe9EpJyvuOG3CUi5JkiRJaheeWrwZgLPG9403SBuylEuSJEmSYrfuvf0s\nXVfCyIHdmDKqd9xx2oylXJIkSZIUu5eWbgPgugtGkEiDBd7eZymXJEmSJMWqoTHJu5tK6VXQiZED\nusUdp01ZyiVJkiRJsVr33n5qahuYMrJ3Wl0lB0u5JEmSJClG9Q1JHpm/AYBpQWHMadqepVySJEmS\nFJu31+5hW8kBzhpfxNghPeKO0+Ys5ZIkSZKk2Ly4ZBsJ4Opzh8cdJRaWckmSJElSLDbuKKd4ZwWT\nR/amT/e8uOPEwlIuSZIkSWpzURTxh0XFAFx82sCY08THUi5JkiRJanPLN+xjVXEpE4b1ZNzQ9HuW\n/H2WckmSJElSm3vuT1sA+MRFI9Pua9AOZymXJEmSJLWpDdvLWbetnInDezGwsGvccWJlKZckSZIk\ntZmDdQ385sV1AFw2Y3DMaeJnKZckSZIktZm5r22meGclM8YVMXpQ97jjxM5SLkmSJElqE3X1jcxf\nso0e+bl85tIxaf0s+fss5ZIkSZKkNrF2637q6pPMGFdETnZm3HHaBUu5JEmSJKlNrNi4F4BJI3rF\nnKT9sJRLkiRJkk65sspa3lq7h7zcTEYM6BZ3nHbDUi5JkiRJOuXmvb6Fyup6rpw5jKxMq+j7slqy\nUxAEfYAlwMVAEri/6X9XAl8MwzAKguBW4DagAfhuGIbPBEGQBzwEFAKVwM1hGO4NgmAG8JOmfV8I\nw/A7rXtakiRJkqT2IpmMeDvcQ9e8bGadPjDuOO1Ksx9PBEGQDfwCqAISwH8AXwvD8Lym318dBEFf\n4EvATGAOcEcQBDnA7cDypn0fBL7RdNifA58Mw/Ac4MwgCKa07mlJkiRJktqL9dv2U15Vx7TRvb1K\n/iEt+dP4AXAXsLPp99PCMFzY9OtngVnAdGBxGIb1YRhWABuAScDZwHNN+z4HzAqCIB/ICcOwuGn7\n803HkCRJkiR1QG+t3QPA6WP6xJyk/TlmKQ+C4DNASRiGLzRtSjT9875KoBtQAJQfZXvFMbYdvl2S\nJEmS1MHUNyRZEpbQpVMWYwb3iDtOu9PcM+W3AFEQBLOAKcADHHo+/H0FwH4Olez8w7bnH2H7kbYd\nfoxj6tGjM1lZfo9dWysszG9+J7Vbzi91ObvU5vxSm/NLbc4vtTm/1HWs2T307BrKq+q45vwR9Ovr\n9dgPO2YpD8Pw/Pd/HQTBy8DngR8EQXB+GIYLgEuB+cCbwPeCIMgFOgFjObQI3GLgMuCtpn0XhmFY\nGQRBXRAEw4FiYDbw7eaClpVVH//Z6aQUFuZTUlIZdwydIOeXupxdanN+qc35pTbnl9qcX+o61uwq\nqut4/OUN9CzI5ZJpA9J2xsf60KJFq68fJgL+HrinaSG31cBjTauv/wxYxKFb4r8WhmFtEAR3AQ8E\nQbAIqAVubDrO54GHgUzg+TAM3zrOHJIkSZKkdm7R8h00NCaZM30webnHWz/TQ4v/VMIwvPCw315w\nhNfvBe790LYa4BNH2PdPwFktTilJkiRJSimNySSvvLODnOwMzp7YN+447ZZr0UuSJEmSWt2jL29k\nX8VBZk7oR+dO2XHHabcs5ZIkSZKkVnWgpp6Xlm6nsHsnrj1/RNxx2jVLuSRJkiSpVS1+dycNjUku\nmjaQzp18lvxYLOWSJEmSpFYTRRELlu0gKzODsyf2iztOu2cplyRJkiS1mhUb97GrtJrpYwrpmuez\n5M2xlEuSJEmSWkVtfSO/nLeGjESC2dMHxx0nJVjKJUmSJEmt4vVVu6isrmfOmYMY0jc/7jgpwVIu\nSZIkSTppURTxx7feIzMjwazTBsUdJ2VYyiVJkiRJJ23Z+r3s3FfNGWP70CM/N+44KcNSLkmSJEk6\nKQdq6rnvmTVkZiT4yJlD4o6TUizlkiRJkqSTMn/JNqprG/jY+cMZ1Kdr3HFSiqVckiRJknTCDtY2\nMH/JNrp0yuLCqQPijpNyLOWSJEmSpBP25MKNHKip5+LTBtIpJyvuOCnHPzFJkiRJ0nE7WNfAw39c\nx+J3d9E1L5uLTxsYd6SUZCmXJEmSJLVYQ2OSea9v4cUl2zhQU8/Igd347GVjye+cE3e0lGQplyRJ\nkiS1SPHOCu59ejU791XTNS+bq84eymeumsj+sqq4o6UsS7kkSZIkqVl799fww0fe4WBdI+dP6c8n\nLhxJXm4W2VkuVXYyLOWSJEmSpGOqrWvkV8+upaa2kc9cOobzJvePO1KH4UcakiRJkqSjSkYR//X7\nFazZUsaE4T05d1K/uCN1KJZySZIkSdJRLVy2g1Wby5gwrCdf+thEEolE3JE6FEu5JEmSJOmIindW\n8OgrG8nLzeSzl48lOysz7kgdjqVckiRJkvRnKqvr+OmjyzlY28AnLx5N9665cUfqkCzlkiRJkqQ/\n88j89VRU13PdhSM5x+fITxlLuSRJkiTp/1i0Ygevr9rNkL75zJ4+KO44HZqlXJIkSZL0gTVbyrh/\n3lrycrO4aXZARoYLu51KlnJJkiRJEgANjUkeeiGEBHzl+skM718Qd6QOz1IuSZIkSSKKIh7+4zp2\n7qvmvMn9GdG/W9yR0oKlXJIkSZLE8g37WLBsB/16deaj5w2PO07asJRLkiRJUppLJiMeX7CRRAK+\n8NGJFHTOiTtS2rCUS5IkSVKae/7NrWzfW8XZE/sxoHeXuOOkFUu5JEmSJKWxNVvKeOyVjXTplMU1\n5wyLO07asZRLkiRJUpqqqW3g7rmryMhI8OXrJtOzoFPckdKOpVySJEmS0tSLb79H+YE6LpsxhBED\nXG09DpZySZIkSUpDS8I9PLGomLzcLGafMSjuOGnLUi5JkiRJaaauvpGHXlhHdlYG/3DDFLp0yo47\nUtqylEuSJElSmnl91S7Kq+q45PRBDOtXEHectGYplyRJkqQ0Ul5Vx9OvbSYzI8Gs0wfGHSftWcol\nSZIkKY387qUN7Kuo5YqZQ+neNTfuOGnPUi5JkiRJaWLnvireWL2LgYVdufLsoXHHEZZySZIkSUoL\nURTx+4WbiCK45txhZCQScUcSlnJJkiRJSgu/e3kDS8IShhTlM3VU77jjqImlXJIkSZI6uDVbynj+\nzfco6tmZv/7YRBJeJW83LOWSJEmS1IFFUcRjr2wA4LYrx9GrW6eYE+lwlnJJkiRJ6sB+M389xTsr\nOW10od9J3g5ZyiVJkiSpgwq3lvHi29so6pHHjZeMjjuOjsBSLkmSJEkd1NOvbwHgc1eMo0e+30ne\nHlnKJUmSJKkDemddCauKSxk9qDsjBnSLO46OwlIuSZIkSR3MnrJqfv7UKrIyM/joucPijqNjsJRL\nkiRJUgfzu5c3Ut+Q5LOXjyEY3CPuODoGS7kkSZIkdSDLN+xl6boSRg7oxplji+KOo2ZYyiVJkiSp\ng9i0o4L/fPxdEgm47sIRJBKJuCOpGZZySZIkSeoAoijikfnrSUYRf/2xiYwa2D3uSGoBS7kkSZIk\ndQDzl2xjw/Zypo0uZOqowrjjqIUs5ZIkSZKU4hYu38GvX1xPTlYGHz9/eNxxdByy4g4gSZIkSTpx\n4dYy/uf5kC6dsvjqp6bRr1eXuCPpOFjKJUmSJClFvbFqF/c9s4ZkFPH5ayYwsLBr3JF0nCzlkiRJ\nkpSCdpdW86tn15KTnclfXTWe8UN7xh1JJ8BnyiVJkiQpxZRV1nLXkyupb0hy80cCJo3oFXcknSBL\nuSRJkiSlkCiK+NljK9i6+wBTR/Vm+pg+cUfSSbCUS5IkSVIKefHtbWzZXcmUkb35649NJJFIxB1J\nJ8FSLkmSJEkp4uWl2/jN/PV0zcvm0x8JLOQdgKVckiRJklLAll2V/PrF9XTOzeLWK8fRvWtu3JHU\nClx9XZIkSZLaucrqOu6eu4rGZMTt10xg/DBXWu8ovFIuSZIkSe1YTW0D//Hb5ezcV82s0wdayDsY\nS7kkSZIktVO1dY385+Mr2LK7knMn9eOGi0fFHUmtzNvXJUmSJKkdqqlt4CePLmf9tnJOCwr59EcC\nMlzYrcNptpQHQZAJ3AOMBiLg80AtcD+QBFYCXwzDMAqC4FbgNqAB+G4Yhs8EQZAHPAQUApXAzWEY\n7g2CYAbwk6Z9XwjD8DutfXKSJEmSlIqSyYi7nlzJ+m3lnDG2D5+7YhyZGd7o3BG1ZKpXAMkwDM8B\nvgH8G/DIVz87AAAgAElEQVQj4GthGJ4HJICrgyDoC3wJmAnMAe4IgiAHuB1Y3rTvg03HAPg58Mmm\n454ZBMGUVjwvSZIkSUpJu8uqueOhJazcVMqE4T257crxZGVayDuqZicbhuGTwF81/XYoUAacFobh\nwqZtzwKzgOnA4jAM68MwrAA2AJOAs4HnmvZ9DpgVBEE+kBOGYXHT9uebjiFJkiRJaWt3aTX//ut3\n2LijgqmjenPblePJyPCW9Y6sRc+Uh2HYGATB/cA1wHXAJYe9XAl0AwqA8qNsrzjGtve3Dz/++JIk\nSZLUMbyzroR7nl7NwbpGrrtgBJfOGBJ3JLWBFi/0FobhZ4IgKALeBDod9lIBsJ9DJTv/sO35R9h+\npG2HH0OSJEmS0kppxUGeWLSJxe/uIicrg1suHcM5k/rFHUttpCULvd0EDAzD8A6gBmgE3g6C4Pww\nDBcAlwLzOVTWvxcEQS6HSvtYDi0Ctxi4DHirad+FYRhWBkFQFwTBcKAYmA18+1g5evToTFZW5omd\npU5YYWF+8zup3XJ+qcvZpTbnl9qcX2pzfqkt3eZXfqCWV5Zu4zcvhFTV1NOvVxf++TPTGda/W9zR\njlu6za41JaIoOuYOTaun3w/0BbKBO4C1HFqRPQdYDdzatPr65zi0+noG8L0wDJ9o+vkHgH4cWrX9\nxjAM9wRBcCaHVl/PBJ4Pw/Cbx8pRUlJ57KBqdYWF+ZSUVMYdQyfI+aUuZ5fanF9qc36pzfmltnSa\nX0Njkj+t3s1vX9rAgZp6crIyuOHiUZw3uX9KPj+eTrM7UYWF+UcdbLOlvL2wlLc9/+VKbc4vdTm7\n1Ob8UpvzS23OL7Wly/w2bCvn3mdWs6eshqzMDK46eyhnje9Lr26dmv/hdipdZncyjlXKW/xMuSRJ\nkiTpxNTVN/LLeWt4c80eEsCFUwfwkTMHU9g9L+5oipmlXJIkSZJOoeKdFfzmxfVs2F7O0L753HDx\nKEYP6h53LLUTlnJJkiRJOkVeX7WL+55eQzKKOH1MH269YhzZWRlxx1I7YimXJEmSpFNg0fIdPPh8\nSKecTG65bCxTR/cmI5F6C7np1LKUS5IkSVIrWxLu4VfPriU3O5MvfXwiweAecUdSO2UplyRJkqRW\nVFffyCPz15OVmeAbN5/OgN5d4o6kdsyHGSRJkiSpldTUNnDnEyvZV1HLJdMHWcjVLK+US5IkSVIr\nSCYj7vrDSlYWlzJyYDeuOGto3JGUAizlkiRJknSS6huS/GreGlYWlzJxeC/+5tqJZGZ4Y7KaZymX\nJEmSpJMQRRF3z13FkrCEEf0LuO2qcRZytZilXJIkSZJOUH1DI39YVMySsITRA7vxleunkJOdGXcs\npRBLuSRJkiSdgJraBv791++wZXclPfJzufXK8RZyHTdLuSRJkiQdp7r6Rh58PmTL7krOGl/EX8wO\nyMu1Xun4+bdGkiRJko5DeVUd3394KbtKqxnSN59bLhtLVqbPkOvEWMolSZIkqYWSUcRDz4fsKq3m\nnIn9uO7CERZynRRLuSRJkiS1QG1dIz95dDnhe/sZ1i+fz1w6hoyMRNyxlOIs5ZIkSZLUjB17q3jw\nubWs21bO+GE9ucVCrlZiKZckSZKkY9hTVs33/udtamobOW10IX919XhvWVersZRLkiRJ0lHU1jfy\n339YSU1tI5+eE3D+lP4kEl4hV+uxlEuSJEnSEVRU1XHHw0vZXVrNeZP7ccHUAXFHUgfkPReSJEmS\n9CGNySQ/f3Ilu0urOWdSP26cNTruSOqgvFIuSZIkSYdpTCa5+6nVrN26n9NGF3LLpWO8ZV2njFfK\nJUmSJKlJMoq4f95a3lq7h5EDuvHZy8dayHVKeaVckiRJkoCyylp+9ewaVm4qZVi/Ar5y/WQ65ViZ\ndGr5N0ySJElS2jtQU8+Pf7ecbSUHGNYvn7/7hIVcbcO/ZZIkSZLSVjIZ8dTiYua9sYWGxogLpg7g\nptmjvWVdbcZSLkmSJCktNTQmeeiFdSxcvoNeBblcdNpA5kwfbCFXm7KUS5IkSUo7DY1JfvrYClYV\nlzKgsAv/9KlpdOmUHXcspSFLuSRJkqS0UlffyAPPrWVVcSmTRvTic1eMs5ArNpZySZIkSWmj6mA9\n/9/DS9leUsWQvvncfvUEcnMy446lNGYplyRJkpQ2Hpm/nu0lVZw7qR+fumQ0OdkWcsXLUi5JkiSp\nw0tGEU8s3MTid3cxpCifT38kIDMjI+5YkqVckiRJUsf3+CsbefZPW+ndrROfu2KshVzthqVckiRJ\nUocVRREvvPUez725lT7d8/jGzafTNc9F3dR+WMolSZIkdVi//uN65i/dRrcuOXz+mvEWcrU7lnJJ\nkiRJHdJzf9rK/KXbGFjYla9cP5nuXXPjjiT9GR+kkCRJktThLFy+g9+9vIFuXXL40scnWsjVbnml\nXJIkSVKHEUURr67YyYPPhXTNy+arn5pGYfe8uGNJR2UplyRJktQhNCaT3D9vLYtX7iInK4O/vXYS\nfXt2jjuWdEyWckmSJEkp7/VVu/j9gk3sqzjIsH4F3HblOIos5EoBlnJJkiRJKW3Z+r3cO3c12dkZ\nXDB1ANeeP4LOnaw6Sg3+TZUkSZKUsp59YwuPL9hEdlYGX71xGsP6FcQdSToulnJJkiRJKenttXt4\n9JWN9MjP5bOXjbWQKyVZyiVJkiSlnHc37eNXz64lOyuDv79+Cv17d4k7knRC/J5ySZIkSSllz/4a\n7nziXWrrGvmL2aMt5EppXimXJEmSlDIO1jVw79zV1NUnufWKcZw1oW/ckaSTYimXJEmSlBLq6hv5\n1wfeZue+aqaP6cOM8UVxR5JOmqVckiRJUkqY+9pmdu6r5oyxfbjlsrEkEom4I0knzWfKJUmSJLV7\nS8I9PPenrfQqyOWWS8eSm50ZdySpVXilXJIkSVK7tqq4lDufWEkiATfNGUNujoVcHYelXJIkSVK7\ntaesmnufXk1mRoKvXD+FsUN6xB1JalWWckmSJEnt0tbdldzx0FJq6xu54eJRFnJ1SJZySZIkSe1O\nfUMj98xdTW19IzfNCbhw6oC4I0mnhKVckiRJUrtSfbCeu+euZvveKi6aNsBCrg7N1dclSZIktRvJ\nZMQ9c1ezYuM+hvXL57oLR8YdSTqlvFIuSZIkqV0oq6zloRdClm/cx7ihPfi7T0wmM8PriOrYLOWS\nJEmSYnegpp4f/XYZO/ZWMahPV75wzUQLudKCpVySJElSrKIo4r4nV7JjbxUXTh3AJ2eNIivTQq70\nYCmXJEmSFJtdpdX87qUNLNuwl6KenS3kSjuWckmSJEltqupgPS8t3c5rK3exu7QagPHDe3HTJRZy\npR9LuSRJkqQ2s6/8ID/87TJ2l1aTk53BlJG9mT62D5edO4Ky0qq440ltzlIuSZIk6ZSLooglYQkP\nv7iO8gN1XHL6IK45dxh5uYcqiVfIla4s5ZIkSZJOqb37a3jgubWs2lwGwMfPH87lZw2NN5TUTljK\nJUmSJJ0yc1/bzFOvFtOYjJgwrCfXXzSSAYVd444ltRuWckmSJEmtrupgPX9YVMz8JdvoWZDL1WcP\n4+xJ/chIJOKOJrUrlnJJkiRJrWpPWTU/fGQZe8sP0q1rDl+9cRqF3fPijiW1S5ZySZIkSa1m8bs7\nefD5kPqGJJefNYTLzxpCpxxrh3Q0x/y3IwiCbOCXwBAgF/gusAa4H0gCK4EvhmEYBUFwK3Ab0AB8\nNwzDZ4IgyAMeAgqBSuDmMAz3BkEwA/hJ074vhGH4nVNxcpIkSZLaRhRFvLZyF798Zg15uVl86pLR\nnDe5f9yxpHavue8d+BRQEobhecBHgDuBHwFfa9qWAK4OgqAv8CVgJjAHuCMIghzgdmB5074PAt9o\nOu7PgU+GYXgOcGYQBFNa+bwkSZIktZFkMuKeuau575k15OZk8g+fnGIhl1qouftIHgUea/p1BlAP\nTAvDcGHTtmeB2UAjsDgMw3qgPgiCDcAk4Gzg+037Pgd8MwiCfCAnDMPipu3PA7OAZa1wPpIkSZLa\nUG1dI79+cR1vrN7NkL753HLpGAYX5ccdS0oZxyzlYRhWATQV6Uc5dKX7h4ftUgl0AwqA8qNsrzjG\ntve3Dz/hM5AkSZIUi33lB/m3h5ZQVlnLoD5d+ccbptC5U3bcsaSU0uyKC0EQDAJ+D9wZhuFvgiD4\n98NeLgD2c6hkH/5xWP4Rth9p2+HHOKYePTqTlZXZ3G5qZYWFfsqZypxf6nJ2qc35pTbnl9qcX9vZ\nV17DXU+uoqyylqvOG84nZ4+ha97JFXLnl7qc3YlrbqG3IuAF4AthGL7ctPmdIAjOD8NwAXApMB94\nE/heEAS5QCdgLIcWgVsMXAa81bTvwjAMK4MgqAuCYDhQzKHb37/dXNCysuoTOD2djMLCfEpKKuOO\noRPk/FKXs0ttzi+1Ob/U5vzazpZdlfzwkXeoOtjAeZP7cfVZQ6g5cJCaAwdP+JjOL3U5u+Yd60OL\n5q6Uf41Dt5x/KwiCbzVt+1vgZ00Lua0GHmtaff1nwCIOPXv+tTAMa4MguAt4IAiCRUAtcGPTMT4P\nPAxkAs+HYfjWiZ2aJEmSpLZUVlnL3XNXUX2wgRsuGsnFpw8kkUjEHUtKWYkoiuLO0CIlJZWpEbQD\n8ROv1Ob8UpezS23OL7U5v9Tm/E69JeEefjlvLTW1Dcw6fSA3zhrdasd2fqnL2TWvsDD/qJ9cNftM\nuSRJkqT0Vl5Vx+8XbOTVFTvJycnk03MCzpviV55JrcFSLkmSJOmIoihi+cZ9PPjcWvYfqKOoRx5/\nefk4Rg7sFnc0qcOwlEuSJEn6M7X1jdz79GqWhCUkEnDdBSOYc8ZgMjJ8flxqTZZySZIkSf/Hjr1V\n3D13FVt3H2D0oO588uJRDOnrV15Jp4KlXJIkSdIH1mwu5aePraCuIcmMcUV89vKxZGVmxB1L6rAs\n5ZIkSZIAeG3lTh58PqQxGfGFayZw+pg+cUeSOjxLuSRJkpTmoihi8bu7+NW8NXTKzeKzlwUWcqmN\nWMolSZKkNFZWWctPH13O1j0H6JSTyT9+cgpD+xbEHUtKG5ZySZIkKU2VVdbyH79bxvaSKk4bXchV\n5wxjUJ+ucceS0oqlXJIkSUpD4dYyfvLYCmrrGrlo2gA+dcloEgm/7kxqa5ZySZIkKY1EUcSfVu/m\nf14IaWhIctPs0Zw/dYCFXIqJpVySJElKI79fuIlnXt9CZkaCz10xjjPHFcUdSUprlnJJkiQpDRyo\nqec3L67n9VW7KOqRx5evm0xRz85xx5LSnqVckiRJ6sCSyYg31+zm9ws3sbf8IH165PH3N0yhd7e8\nuKNJwlIuSZIkdUjJZMTK4n08vmAT7+05QGZGgitmDuHqc4aRmZERdzxJTSzlkiRJUgcSRRGrt5Tx\n0Avr2F1aDcDZE/ty1dnDKOzu1XGpvbGUS5IkSR1AQ2OSde/t56nFm1n33n4SCThnUj8umjaAoX0L\n4o4n6Sgs5ZIkSVIKa2hMsvjdncx9bTOlFbUATBrRiyvPHsqI/t1iTiepOZZySZIkKQUlkxGvr9rF\nU4uLKdl/kOysDM6d1I9zJ/Vn5EDLuJQqLOWSJElSCmlMJnl7bQlPvlrMrtJqsjITXDxtIJfPHEL3\nrrlxx5N0nCzlkiRJUgqoPtjAc29u5dUVO9h/oI7MjATnT+nPFWcNpVe3TnHHk3SCLOWSJElSO1bf\n0Mizb2xl3p+2UFefJC83i4umDWD2GYPp42rqUsqzlEuSJEnt1Nbdldz79Gq2lVRR0CWHOdP7c9lZ\nQ8jNzow7mqRWYimXJEmS2pnGZJJn39jKk68W05iMmDGuiJvmBOTl+p/vUkfjv9WSJElSO1J1sJ6f\nPraCDdvK6d41h1suG8vE4b3ijiXpFLGUS5IkSe1E8c4KfjVvDdtKqjg9KOTTHxlD17zsuGNJOoUs\n5ZIkSVLMksmIF956j0df2UAUwYVTB/Cp2aPJSCTijibpFLOUS5IkSTFpTCZ5c/Uenny1mD37a+jW\nNYfbrhjH2KE9444mqY1YyiVJkqQYrN+2n3ufXk3J/oNkZiQ4e2JfrjlnuN85LqUZS7kkSZLUhqoO\n1vOHRcUsWLb90K3q0wZw6RmD6e13jktpyVIuSZIktZG6+kb++4mVrNlSRpdOWXz+mgmM91Z1Ka1Z\nyiVJkqQ28Oaa3fz6xfVUVNUxeUQvvvDRiWRnZcQdS1LMLOWSJEnSKZSMIl5fuYtfzltDTlYml84Y\nzDXnDLOQSwIs5ZIkSdIps63kAHc/tZptJQfIzcnkH2+YyvD+BXHHktSOWMolSZKkVlZacZDHXtnI\nG6t3AzBjXBGXzxzKgN5dYk4mqb2xlEuSJEmt5EBNPY8v2Mjid3fS0BgxsLArV509lNPH9Ik7mqR2\nylIuSZIktYLNuyq4Z+5qdu6rpk/3PC6fOYSZE/qSmeGz45KOzlIuSZIknYSGxiQvLd3Ooy9voDEZ\nMeu0gdxw8SgyMhJxR5OUAizlkiRJ0glIRhELl+3gycXFlB+oI79zNn95+TgmjegVdzRJKcRSLkmS\nJB2n3aXV3DdvDRu2ldMpJ5PZ0wfxkTMH071rbtzRJKUYS7kkSZLUQjW1DSxYtoNnXt9M1cEGThtd\nyI2XjKZHvmVc0omxlEuSJEnNqKlt4NUVO3lqcTFVBxvIzsrglsvGcO6k/nFHk5TiLOWSJEnSMWwv\nOcBPH1vB3vKD5GZn8tFzh3HelAF065ITdzRJHYClXJIkSTqCKIp4YlExz7y+mSiCj5w5mFmnDaRn\nQae4o0nqQCzlkiRJ0occqKnniUWbeHnpdnoW5PKJC0dyxtiiuGNJ6oAs5ZIkSdJhVm8u5c4n3qWm\ntpGinp356o1TXVVd0iljKZckSZKA2rpGnnljM8++sRWAa84dxkXTBtI1LzvmZJI6Mku5JEmS0lpj\nMsk76/by1OJitpVUkZebxeevHs/E4b3ijiYpDVjKJUmSlJaiKGLFxn08tbiY4p2VAFwwpT/XXzSK\n3JzMmNNJSheWckmSJKWdfeUHefiP61i2YS8AM8YVMfuMQQztWxBzMknpxlIuSZKktNGYTPLUq5t5\n7s2t1DckGTO4O1efM4xgcI+4o0lKU5ZySZIkdXhRFLFsw15+v3AT20uq6JGfy8fPH86M8X3JSCTi\njicpjVnKJUmS1GFFUcTqzWX84dVNbNxeQSIBZ4ztw6fnjKFzJ/9TWFL8/H8iSZIkdTiNySTzl2zn\ntZU72br7AADTRhfysfOG0793l5jTSdL/spRLkiSpQ3lzzW7mvraZ7SVVJICpo3pz1dnDGNI3P+5o\nkvRnLOWSJElKeVEUsXZzKb99YS1vhyUAnDOxH9deOIKCzjkxp5Oko7OUS5IkKaVEUcTW3QdYvmEv\nu8uqqaiqo7Sylp37qgEY3r+Av5g92q83k5QSLOWSJElKCTW1Dcx7Ywuvr9pFaUXt/3mtU04m08cV\nMWNsHyaP6E1GhiuqS0oNlnJJkiS1a9tKDvDUq8Ws2LSPuvokeblZzBhXxLTRhQztm09BlxxysjMp\nLMynpKQy7riSdFws5ZIkSWqXtuyq5PcLN/Hupn0A9Omex1kT+nLZjMFkZ2XGnE6SWoelXPr/27vz\n4Djv+77j772xCywuAiREUDzE4ydRsm7bimXLtnwk8SR1k/SP2m7rJE0yTTOZ9Eg9jSZNOp0cbSZJ\nU0+bNPE0h+Mm7Thx0mZkO74ayZblWLIlOZKoRwcPkQIPgMS9wJ5P/9gFCFKiSArHEsD7NbOzu88+\nz+L38Etg8cHv9/x+kiTpmhHHMYdHpvjMw4c5dGwcgP07evjAPbu4bd9Am1snSSvPUC5JkqS2i+OY\nQ8fG+ZMvvcDI2CwAu4eKfPDtewzjkjY0Q7kkSZLaZr5S4+GnTvLgo0eZLlVJJODuMMj9d+7gxl19\n7W6eJK06Q7kkSZLWVBzHHD01zUNPjvC3h05TrtTpyKa45+ZtvO/u69lznUuZSdo8DOWSJElaE6X5\nKo8+c5qHnhzhxOgMAP3dOb7nLTu5/85hioVsm1soSWvPUC5JkqRV9+SLY/zBZw8xXaqSSia4Kwxy\n323buXl3v2uKS9rUriiUhxDeCvzHKIreHULYB/wh0ACeBn4qiqI4hPDjwE8ANeCXoih6MISQBz4F\nDALTwEejKBoLIdwD/FZr3y9EUfQfVvrEJEmS1H7VWp1Pfj7ikadPkUjAB9++h3fdMUxPp73ikgSQ\nvNwOIYSPAZ8Acq1Nvwk8EEXRfUAC+GAIYQj4aeBtwHcDvxpCyAI/CTzV2veTwM+33uO/Ax+Koujt\nwFtDCLev4DlJkiTpGnDy7Cy/9env8MjTp9gx2MnHPnQHH3z7HgO5JC1xJT3lLwI/CPxx6/mdURQ9\n3Hr8OeD9QB14JIqiKlANIbwI3ArcC/yn1r6fB/5dCKEIZKMoOtLa/tfAe4Enl3sykiRJar9avcHD\nT43wv778ArV6zG17t/DPf+AWMulUu5smSdecy4byKIo+E0LYvWTT0ot+poEeoBuYvMT2qdfZtrD9\nhqttuCRJkq4t5Wqdr32nubzZxEyFrnyGD71nP285uJVU8rIDNCVpU3ojE701ljzuBiZohuziku3F\n19j+WtuWvsfr6usrkPavq2tucLB4+Z10zbJ+65e1W9+s3/pm/a5OHMe8eGKCv/rqYR79u5PMV+rk\nc2m+7+17+KF372egN7+m7bF+65v1W7+s3Rv3RkL5EyGEd0ZR9BDwvcCXgW8CvxxCyAEdwE00J4F7\nBPgA8Fhr34ejKJoOIVRCCDcAR2gOf//3l/ui4+OlN9BULcfgYJHR0el2N0NvkPVbv6zd+mb91jfr\nd+WqtTqPR6N8+VsnODzSHAS5tTfPe+7aynvv2kFPV464WlvTf0/rt75Zv/XL2l3e6/3R4mpCedy6\n/9fAJ1oTuT0L/Flr9vWPA1+lOXncA1EUlUMIvwP8UQjhq0AZ+HDrPf4Z8D+BFPDXURQ9djUnJEmS\npPaYmavy7edH+eyjxzgzMQfAHfsHeMdt27lt7xYSCZc3k6SrkYjj+PJ7XQNGR6fXR0M3EP/itb5Z\nv/XL2q1v1m99s36XNjlT5utPn+LBR49RKtdIJhLcf9cw77x9mOGBznY3D7B+6531W7+s3eUNDhYv\n+RfLNzJ8XZIkSZvA+HSZb0Vn+M7hszxz5BxxDPlcmh94xx7eenAbW/sK7W6iJK17hnJJkiQtGp8u\n8/hzZ3g8OsPhkSnqjeZgxT3XdXPPzdu45+A2igXXGZeklWIolyRJ2sTGJuc4PDJF9PIEz5+Y4JXR\nWQASCdgx2MW9twxxx4FBBtd4FnVJ2iwM5ZIkSZvMkZNTPHboDE++OMapc+dXuMmmkxzc3cfNe/q5\n903X0W2PuCStOkO5JEnSBleu1nn26DmeerF5bfjZqXkAspkkt+8bYN+OHsL1vewaKpJOJdvcWkna\nXAzlkiRJG1Ct3uDZo+M8/NQIf3f4LNVaA4DOjjR37B/gvtu2c3B3H5l0qs0tlaTNzVAuSZK0gYxO\nzPHFx4/zrWiU8ekyAEP9Be48MMjt+wa4YXs3yaRriUvStcJQLkmStAG8NDLJ577xMk+8MNpauizF\n/XcOc9u+AW7e008yYRCXpGuRoVySJGmdiuOYl0am+PrfneShJ0eIgV3birz/Ldfz5hu3en24JK0D\nhnJJkqR1Io5jTo/PcejYOM8eOcdzL48zO18DYEt3jh/9wE3cuKuPhL3ikrRuGMolSZKuYbV6g+jl\nCb7w2HGePzFBuVJffG2gp2Nx+bIbd/Y6aZskrUOGckmSpGtIoxHzzNFzPHdsnKOnpnlpZJJKtTlz\n+vaBTrYPdHLjzl4O7u5nW1/eXnFJWucM5ZIkSW1Wqzc4emqaJ18Y4+tPn2RiprL42vaBTm7a2cc9\nt2xj7/aeNrZSkrQaDOWSJEltMj5d5qkXx/j8377MmYk5APK5NO+6Y5g3h0F2DXVT6PDXNUnayPwp\nL0mStMZOj5d46MkRvvLtE1SqDRLA224Z4rZ9A9y2dwvZjNeGS9JmYSiXJElaI3PlGg89OcKfP/QS\n9UZMdyHDD923l4O7+xge7Gp38yRJbWAolyRJWkWl+SrPH5/kmaPn+Np3TlKu1unsSPPh9x3grgOD\n9opL0iZnKJckSVpB9UaDF45P8uyxczx7dJwjJ6eI4+ZrfcUc33vPTt5x63b6irn2NlSSdE0wlEuS\nJK2ARhzz7WiU//O1I7wyNgtAMpFg73APB3f1sW+4h+Ba4pKkixjKJUmS3qA4jjl5tsShY+P8zZOv\n8MroLIkEfNfN23jzTdsI1/eSz/nrliTp0vyUkCRJukq1eoMnXhjji48d58VXJgFaYXyI7793N0P9\nhTa3UJK0XhjKJUmSrlBpvsYXHnuZv3niFaZKVQBu3buFOw8McvPufrb0dLS5hZKk9cZQLkmSdAkz\nc1WOnJzixJkZnj8+wXPHJyhXmrOnv+euHdx/5zDXbelsdzMlSeuYoVySJGmJeqPBM0eay5c98cIY\n9Ua8+Npgbwfvettu7r9zB7msE7ZJkpbPUC5Jkja1cqXOZKnC2cl5PvvN43zpm8eYmKkAMDzYyV0H\nBhke7GLfcI/LmEmSVpyhXJIkbXhxHDM2Oc/RU9McPTnFy2dmGJuYY3K2wnylfsG++Vyad98xzNtv\nvY7dQ0USiUSbWi1J2gwM5ZIkacM6PV7i29Eojzx9ipHW2uELioUMg715ejqzzVtXjttv3MrOLQWy\nGYemS5LWhqFckiRtCHPlGkdOTjEyNsvLZ2Z48cQkp86VAEinEtyxf4D9O3rZPVRk11DxNdcPHxws\nMjo6vdZNlyRtYoZySZK0bsVxzCtjs3z96VN85VsnqNQai69lM0nu2D/AbfsGuPPAIF35TBtbKknS\nazOUS5KkdSWOY46fmeGx587weDTK6VZveG9Xlvfech3Dg53s3NrF0JYCqWSyza2VJOn1GcolSdI1\n73VFD30AABMaSURBVPnjEzz5whjHz0xz/MwMU6UqANl0krvCIHeFQe7YP0jOa8ElSeuMoVySJF1z\navUGh0emePy5M3z7hVHOTZUXXxvo6eDNN/bx5hu38qYbtrheuCRpXTOUS5KktpuYKXPs1DQvn57m\n+Ogsh46eY3a+BkBnR5q7Dgxy3+3b2bu9h0KHv75IkjYOP9UkSdKaq9bqHB6Z4uGnTvLs0XNMzlYu\neL2nM8v9dw5z484+bt8/QDrlteGSpI3JUC5JktbEXLnGM0fO8dRLY3zz0BmqrZnSe7uy3L5vgN1D\nRXZuK7JjaydbujtIJBJtbrEkSavPUC5JklZEHMdMzFR4/vgEY5NzTM5UmJytMDlT5tx0mfHpMvVG\nDDSvC7993wBv2ruFW/b0G8AlSZuWoVySJF2VWr3B6fE5zoyXmJypcPTUFCdGZzl5tsRcufaq/RNA\nbzHHnuu6Obi7jzft3cKeoW6SSYO4JEmGckmS9LpK81Uej0Z57tg4J0ZnOHm2tNjjvSCVTLCtv8DB\nXX0MD3Zyw/Zuejpz9HRlKRYyrhcuSdIlGMolSdKiE6MzHDk5xSujs7wyNsvI2Czj0+eXI8tlUuwa\nKjI80Mm2/gJ9XTm29RfYNdRl8JYk6Q0wlEuStEkdPzPDE8+Pcnp8jtGJ5nD0qVL1gn36u3Pcsqef\nnduK3PumIbb1F0h6/bckSSvGUC5J0iYxOVvhheMTHB6ZIjo+ztGT0ywMQk8mEmzpyXH39b0c3NPP\njsEutm/pdE1wSZJWmZ+0kiRtUJMzZQ69PM4Tz4/x7NFzzM6fn4QtlUywb0cP77v7enZu66K/u8O1\nwCVJagNDuSRJ61C11uClVyY5eXaW0cl5JmcqTM2WmZmvMTtXZWauynylvrj/QE8He4d72Dfcw97t\n3dww3EMuk2rjGUiSJDCUS5J0zWk0YiZnK5ydnOfMRIkz43NMl6qcnWqG74nZMlOzFeL41cfmMik6\n82kGe/P0F3Psv76XW/b0c/3WLtcClyTpGmQolySpDeYrNU6eLXFidIap2QqTMxVGJ+Y4NT7H2MTc\nq5YcW5DNJOntzLFvuIfrt3Zxw/ZutvYW6OnK0tuVJZO291uSpPXEUC5J0iqJ45jpUpUz43OcmShx\n7NQMJ0ZnGJucY3Ri/jWP6exIs2uoyEBPB/3dHWzp7mBoS4GeQpb+7g4nXpMkaYPxk12SpCsQxzGV\naoNSucZ8pUapXGOuXGO+XGeuUmO+UqdcqZNIJTl2corT50qcmZijvOS67gXdhQw37epj+5ZOdmzt\npLcrR09XloGePF35TBvOTpIktYuhXJK06c2Va5w6V2J0Yo7JmQozc1Wm56pMzVaYmCkzXaowPl2h\nVm9c8Xtm00m29uUZ7M2zra/AYF+e4YFOdg0VnWBNkiQtMpRLkjasaq3B1GyFqVKF6VIzbM/ONXu5\nZ+ernDxb4ujJqQuWCrtYKpmgWMgwPNBJsTNDIZemI5umkEuTz6XoyKXJZ9N0ZFN0ZFNs21ok1WjQ\nV8w5sZokSbosQ7kkad2I45j5Sp2Z1pJfk7OV5iRprfupi56XypcO2wu29uW5YXsPg70dbOsv0NuV\no5jP0FXI0N2ZpSufIXkV4XpwsMjo6PRyTlOSJG0ihnJJ0jVnvlLj8MgUL5yY5KWRSSZnzvd01+qv\nPSv5ggTQmc/QV8yxa6hIT2eW7s4sxUKGrnyGzo4MnR1pCh0ZtvR0eA23JElqK0O5JGnVVap1Zudr\nlOarzM7XmC5VmZ6rNO9nK0zPVZkuNZ9PlSqvWoM7n0vRlc9w/dYixUIzWBcLmcXA3d2ZpbuQpaer\nGb5TyWT7TlaSJOkqGMolSSumXKkzcnaWY6emGRmb5bmXxzk7VWbuCoaRA3RkUxQLGfYP97B3uIf9\nO3rZt6PH3mxJkrRhGcolSVckjmPK1Tqzc7XmNd3zVWbnqpydnOdIK4SPjM1ecEw2k2Rrb56erm66\n8s1J0godabryGboLzV7t4uJ9hkzaWcklSdLmYiiXpE2sEceU5lshu1RdMoFamWOnppkuNcN3c9by\n17+eO5dNcePOXq7b0sme67q5bqDAjsEul/+SJEl6HYZySdoAqrU6pfla67rtGqVy89rt2bnqhdta\nvdzTrZA9O1fl9adNg0IuTWc+Tf/WLjrzzcnSujoyi4+LhQw3bO9mS3eHS4BJkiRdJUO5JF3jzk3N\nc3p8jsmZMhMzFc5OzTMxU2a21as9XWouDXalkokEXfk03Z1Ztm8p0NkK1p35DMV8ls58ujWpWhd9\nxZyTpkmSJK0iQ7kktVGjEVOp1RfX3J4uVWm8dJYXj41z6lxp8XYp+Vyarnyam3b1Na/Z7mhes93Z\nkWn1cDeX/+rsyCzOYJ7Ppe3RliRJukYYyiVpBVWqdcZnyovrak+Xzi/1tXTZr/Hp5ozk9cbrDx7v\n7EhzYEcPB3b20deVpacrR393jv7uDjo70vZiS5IkrXOGckm6CvVGg6nZKqMTc5weL3FmfG7xNjY5\nx+z85Zf+6sim6OnKsa0vTyadJJtJUcil6elqrrW9fVs3hUyCof4CXfmMvdqSJEkbmKFc0qYXxzGV\naoPZ+SoTMxXOTc03b9Pl5uzjc1WmShXGp8tMz1Zec2K0TDrJQE8Hu4eK9BZz9HblLljqq5i/8mW/\nBgeLjI5Or87JSpIk6ZpiKJe04cVxzInRWQ6PTDI2Oc/kbGVx+a/x6TITM+XLDiPPpJP0FXMM9ffS\n05llsDfP1r48W1v3vcUcSXu0JUmSdJUM5ZLWvUYcU601KFfrVCp1JmYrnD5X4vR4idPn5jhycoqx\nyflXHZdIQG9Xjp3binTm0xRyaXq7mtdr9xdz9HXn6Clk6SpkyGVSDiOXJEnSijOUS2qLWr3B7FyV\nSq1Brd6gVo+p1RtUaw3q9QbVesx8ZWF97Rpz5Vc/Hp8uMz1XoVJtvO7XyudSvOWmrRzc3c/W3mav\ndrHQnIXc3m1JkiS1k6Fc2uTieCEMx9QbDeqN8+F46a1Sq1OabwbicrVBtd6gWqtTqZ5//cL9lxzf\n2nfp65cbLn45iQR0F7Jct6WTXCZFNpMkl0mRyzSX/RrqL7Ctv8BQf4Herqy93JIkSbomGcqlDWJh\nsrLpUoVT50rUj4xz6PAYp86VmK8sBOL6YliuVM+H5OXF40vLpJNkUsnmfTpJVz7TfJ5Jkk2n6Mxn\nyKWTpNNJ0skk6XSCdKp5TDqdJJ9Nkc81193O55q3Quu+I+twckmSJK1/hnKpzeI4pt5o3hqNix7X\nG9TjmFq99bjVi73wfGHI99mpeb7w2HHGp8uX/DrpVJJseiEQJynkcothOZtOkkmnSKUSpJIJUskk\n2UxyMUBnUueX7erIpcilU4vBevH4TKr1Ps3n6VTS0CxJkiRdRttCeQghCfw2cCtQBn4siqKX2tUe\nbVxxHNOILwy89UZMvb6wrXHBtlqj0bxfEn6XhuGF1+uN+FVDsquvGvZdf9X2ypJ9ayswjHtBIgEH\nd/dRyKXZPtDJzu29FHNJhge66MilvHZakiRJuga1s6f87wPZKIreFkJ4K/AbrW1aBQvBNI6h0VgI\nqRATt5639mmc36+aSDB2drZ5TOu1xcdxM8AuDoNuBddL9fQuBOBa4xJBuH7hZF/1eoPGkrYufN2F\n9200LuxZXvraxfeNeLUGZ1+5hR7kdGs4d0chs9hLnUklSSYTJJMJ0smljxPnH6eSpJMJUqnm49TC\ntlSSVCpBRzbFLXu20FfMLX5N17qWJEmSrn3tDOX3Ap8HiKLob0MId7/ezuem5qk1zvdaLvRU1hd6\nLRdDYzNsNoNcvBjszveWXhRQLwqbF25bElZf69iLAuNrfe3zQff84xgueP8r+lqvaueVHbvwuP2x\n9I1LAIlEM5ymkq9xn0i0hldfGGQX97no2GQiccEw7VTy/PPFAJxqBuSFELwQfhe2vWqId/riW2px\nezqVcBi3JEmSpNfUzlDeDUwteV4PISSjKHrNtY1+9re/vjatapPzwbN1v/CYZlBMJGhtO/84nYRk\nOtnaliCZuOjYhccJLtwnubC99V5LXlsIrYkEFPJZKpXa+dcSr25LtnUd8UJoTbUC79Je39SSWzKZ\nINXq6V0arBcm9loIxAthOdE6J0mSJEnaiBJxm4b2hhB+A/hGFEWfbj0/HkXR9W1pjCRJkiRJbZBs\n49d+BPgAQAjhHuA7bWyLJEmSJElrrp3D1/8CeF8I4ZHW8x9pY1skSZIkSVpzbRu+LkmSJEnSZtfO\n4euSJEmSJG1qhnJJkiRJktrEUC5JkiRJUpu0c6I3tUEIIQP8PrALyAG/BBwC/hBoAE8DPxVFURxC\n+HHgJ4Aa8EtRFD0YQigAfwr0AhXgH0VRdHrNT2STWoH69QGfpFm/EvDjURS9vOYnskldTf1a+w/S\nXKniliiKKiGEPPApYBCYBj4aRdHYWp/HZrXc+rW27QM+E0XRrWt+ApvYCnzv9dD83isCWeBfRVH0\njbU+j81qBerXCfwJ5393+WgURSNrfR6b1Ur87GxtvxH4BrB16XatnhX43ksAJ4DnW2/5aBRFD6zp\nSawT9pRvPh8BRqMoug/4HuC/Ab8BPNDalgA+GEIYAn4aeBvw3cCvhhCywD8BDkVR9E7gfwP/pg3n\nsJktt34PAI9EUfQO4NeAj7fhHDazK6ofQAjhu4EvAFuXHP+TwFOtfT8J/Pwatl3LrF8I4R/T/KPm\nwBq3W8v/3vuXwBejKHoX8MOt47V2llu/HwMea/3u8ingY2vYdi2/foQQulvHzK9hu7X82u0FvhVF\n0btbNwP5JRjKN59PA7/QepwEqsCdURQ93Nr2OeC9wJtphrdqFEVTwIvArcAcsKW1bw/Nvzhr7Sy3\nfgeBz7f2/TrwzrVquIArrx9AHXgPML7k+Hs5X7/PL9lXa2O59TtH83susfpN1UWWW7v/DPxe63GG\n5meh1s6y6hdF0X8BfqX1dBcX1larb1n1a/W2/i7wc/i9t9aW+7PzLmA4hPCVEMKDIYQDa9Dmdcnh\n65tMFEWzACGEIs1vtJ8Hfn3JLtM0w3Y3MHnR9m6a68v/2xDCM0AfcN8aNFsty6xfD/Ak8PeW3BdW\nv9VacAX1m6FZJ6Io+lJr36VvsbSuCzXVGllu/aIoevDibVobK1C7yda2IeCPgZ9Zi3araQV+dhJF\nUSOE8GXgFuD9q99qLViB+v0i8GAURd9pbfcPm2tkBWo3AvxKFEV/HkK4l+ZIlbesfsvXH3vKN6EQ\nwvXAV4BPRlH0pzSvCVnQDUwAUzSvnVtQpBkGfh34zSiKbqY5LPrP16TRWrSM+o0DvwrsDiE8RLO3\n4PiaNFqLLlO/Is36XcoUzRpfyb5aBcusn9poubULIbwJ+BLwc1EUfXXVGqrXtBLfe1EUvYdmZ4K/\nu6yxZdbvI8A/DSH8P2AI+OtVa6heZZm1exz4vwBRFD0CbF+tdq53hvJNJoSwjeb1Hh+LougPW5uf\nCCEsDGP+XuBh4JvAO0IIudYENzfRnMyhk2YwABjlfEDQGliB+r0T+ETrurqXAH+xXENXUb9LeQT4\nwBXuqxW2AvVTmyy3diGEgzR7iT4URZGBYI2tQP1+rjWnA8AszQlQtUaWW78oivYvXJMMnMKRDmtm\nBT73fgH4F633ug1wcuFLcPj65vMAzWEmvxBCWLhG5GeAj7cmAnsW+LPW7N0fpxnakjQndCiHEB4A\nPhFC+Cma/39+bO1PYVNbTv0qIYTngD9qXZ91DviRtT+FTe2K6nfRMfGSx79Ds35fBcrAh1e5vbrQ\ncuv3etu0upZbu1+hOev6x1tDMyeiKPqB1W2yllhu/f4HzZ+dPwqk8LNvra3Uz87X267Vsdza/Ufg\nUyGED9D8Y9gPr25z169EHPt/W5IkSZKkdnD4uiRJkiRJbWIolyRJkiSpTQzlkiRJkiS1iaFckiRJ\nkqQ2MZRLkiRJktQmhnJJkiRJktrEUC5J0iYTQvivIYSPtrsdkiTJUC5J0mYUt7sBkiSpKRHHfi5L\nkrTRhRB+Hfh+4DRQAf4YOADcD/QDY8APAt8H3B9F0Udax/0iMBdF0a+1o92SJG106XY3QJIkra4Q\nwg8BdwMHgW7gCZq/AxyIoui7Wvv8EfAR4HeBXw4hFIA54MPAO9vRbkmSNgNDuSRJG9+7gD+LoqgO\njIcQ/hKoAT8bQvgJIADfBbwYRdFsCOGzwD8AjgAvRVF0qk3tliRpw/OackmSNr6YCz/za8AW4Aut\n558G/mLJPr9Ps9f8Q8AfrFEbJUnalAzlkiRtfF8E/mEIIRtC6KZ53XgM/E0URb8HHALeD6QAoij6\nGjBMs4f9L9vSYkmSNgmHr0uStMFFUfRXIYS7gaeBUeA5IA/cFkJ4guYkb58Ddi857DNAfxRF1TVu\nriRJm4qzr0uSpAuEEHI0h7b/TBRFT7a7PZIkbWQOX5ckSYtCCNcBJ4FHDeSSJK0+e8olSZIkSWoT\ne8olSZIkSWoTQ7kkSZIkSW1iKJckSZIkqU0M5ZIkSZIktYmhXJIkSZKkNjGUS5IkSZLUJv8fTIv3\n78uvDHcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10ad57810>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['total_members'] = df.members.cumsum()\n",
    "df.plot(x='day', y='total_members')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# What about Machine Learning?\n",
    "---\n",
    "\n",
    "# Spark [MLLib](https://spark.apache.org/docs/latest/mllib-guide.html)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# What about Machine Learning?\n",
    "---\n",
    "\n",
    "## Spark [MLLib](https://spark.apache.org/docs/latest/mllib-guide.html)\n",
    "\n",
    "### Statistics:\n",
    "- Summary\n",
    "- Correlations\n",
    "- Stratified sampling\n",
    "- Hypothesis testing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# What about Machine Learning?\n",
    "---\n",
    "\n",
    "## Spark [MLLib](https://spark.apache.org/docs/latest/mllib-guide.html)\n",
    "\n",
    "### Classification and Regression:\n",
    "- Support Vector Machines (SVM)\n",
    "- Logistic regression\n",
    "- Linear regression\n",
    "- Naïve Bayes\n",
    "- Decision trees\n",
    "- Tree ensembles (random forests, gradient boosted trees)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# What about Machine Learning?\n",
    "---\n",
    "\n",
    "## Spark [MLLib](https://spark.apache.org/docs/latest/mllib-guide.html)\n",
    "\n",
    "### Collaborative filtering\n",
    "- Alternating Least Squares (ALS)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# What about Machine Learning?\n",
    "---\n",
    "\n",
    "## Spark [MLLib](https://spark.apache.org/docs/latest/mllib-guide.html)\n",
    "\n",
    "### Clustering\n",
    "- K-Means\n",
    "- Gaussion mixture"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# What about Machine Learning?\n",
    "---\n",
    "\n",
    "## Spark [MLLib](https://spark.apache.org/docs/latest/mllib-guide.html)\n",
    "\n",
    "## And more: https://spark.apache.org/docs/latest/mllib-guide.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Collaborative Filtering\n",
    "---\n",
    "\n",
    "![CF](https://upload.wikimedia.org/wikipedia/commons/5/52/Collaborative_filtering.gif)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Collaborative Filtering for Implicit Feedback Datasets\n",
    "---\n",
    "\n",
    "- Won the Netflix prize\n",
    "- Is fairly straightforward to implement\n",
    "- Is nicely parallelizable\n",
    "- Matrix factorization method\n",
    "    - Describe both users and items in terms of a lower rank feature matrix\n",
    "    - Dimensionality reduction\n",
    "    - Predict by representing a user in terms of their item feature preference\n",
    "\n",
    "Reference: http://yifanhu.net/PUB/cf.pdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'created': 1309088803000,\n",
       " 'description': u'<p><img src=\"http://photos2.meetupstatic.com/photos/event/1/0/3/e/event_11104158.jpeg\" /> Dear\\xa0<b>INTERNATIONALS</b>,</p> <p>\\xa0</p> <p>As I write this, it is officially summer\\u2026.too bad it doesn\\u2019t feel or look like it! But that won\\u2019t stop us, lets have a drink or two together on <b>July 7th!</b> We will keep our fingers crossed that we can enjoy some sun on the rooftop terrace of the Engels Grandcafe Rotterdam. Like always it will start at 18:30 and end around 23:30, looking forward to seeing the \\u201cregulars\\u201d and meeting some new people!</p> <p>\\xa0</p> <p>We will welcome back DJ Rob. For those of you who don\\'t him yet from our borrels, you may have heard him at the Bootleg dj-cafe or\\xa0cafe De\\xa0Witte Aap.</p> <p>\\xa0</p> <p><b>\\xa0</b></p> <p><b>WHAT</b>: Internationals meet Internationals- Midsummer afterwork drink - chat &amp; have fun!<br/><b>WHEN</b>:\\xa0Thursday July 7th from\\xa018:30-23:30.<br/><b>WHERE</b>: at Engels Grandcafe Restaurant Zalen -on the top floor of Engels Groothandelsgebouw.<br/><b>HOW TO GET THERE</b>: next to the Rotterdam Central train station. Stationplein 45 - entrance is from the Stationplein side - take the elevator up to the 7th floor of the building and follow the instructions which will take you to the top floor.\\xa0<br/><b>DRESS CODE</b>:\\xa0none!\\xa0<br/><b>ENTRANCE FEE</b>:<b>\\xa0</b><b>none!</b><br/><b>IMPORTANT</b>: We, the organizers, have the intent to welcome everybody personally, look out for us at entrance or find us mingling with the guests. <i>Don\\'t be shy, as everyone is coming with the same purpose: to relax after a long working day, meet new people and have a good time together. Encourage your international colleagues to join us! It can also be a good opportunity to expand your business network.</i><br/><b>A REQUEST FROM US</b>: If you feel comfortable doing so, please upload a profile picture, so we and the other members can recognize you at the upcoming events, thanks!<br/>&lt;br&gt;&lt;/br&gt;</p> <p><b>*******PLEASE let us know in advance if you will be able to attend the event! This time you will be able to confirm your attendance until the 5th of July*****</b><br/>&lt;br&gt;&lt;/br&gt;</p> <p><b>See you on the\\xa07th of July!<br/>Marta, Natalie &amp; Frans</b></p>',\n",
       " 'duration': None,\n",
       " 'group_id': u'INTERNATIONALS-in-Rotterdam',\n",
       " 'name': u'INTERNATIONALS meet INTERNATIONALS- Midsummer afterwork drink',\n",
       " 'rsvp_limit': None,\n",
       " 'rsvps': [Row(guests=0, response=u'yes', user_id=39980, when=1309881442000),\n",
       "  Row(guests=0, response=u'yes', user_id=34217, when=1309870186000),\n",
       "  Row(guests=1, response=u'yes', user_id=36559, when=1309810051000),\n",
       "  Row(guests=2, response=u'yes', user_id=30877, when=1309805384000),\n",
       "  Row(guests=0, response=u'yes', user_id=22290, when=1309800571000),\n",
       "  Row(guests=0, response=u'yes', user_id=65384, when=1309793559000),\n",
       "  Row(guests=0, response=u'yes', user_id=61274, when=1309793818000),\n",
       "  Row(guests=1, response=u'yes', user_id=20901, when=1309769694000),\n",
       "  Row(guests=2, response=u'yes', user_id=22295, when=1309763871000),\n",
       "  Row(guests=0, response=u'yes', user_id=52867, when=1309716645000),\n",
       "  Row(guests=2, response=u'yes', user_id=16775, when=1309716393000),\n",
       "  Row(guests=1, response=u'yes', user_id=61810, when=1309726315000),\n",
       "  Row(guests=0, response=u'yes', user_id=19232, when=1309720058000),\n",
       "  Row(guests=0, response=u'yes', user_id=28688, when=1309711432000),\n",
       "  Row(guests=0, response=u'no', user_id=30788, when=1309629667000),\n",
       "  Row(guests=2, response=u'yes', user_id=41800, when=1309520062000),\n",
       "  Row(guests=0, response=u'yes', user_id=31333, when=1309509987000),\n",
       "  Row(guests=2, response=u'yes', user_id=29826, when=1309505612000),\n",
       "  Row(guests=0, response=u'yes', user_id=41333, when=1309477890000),\n",
       "  Row(guests=1, response=u'yes', user_id=26833, when=1309462007000),\n",
       "  Row(guests=0, response=u'yes', user_id=22237, when=1309455960000),\n",
       "  Row(guests=1, response=u'yes', user_id=46017, when=1309450797000),\n",
       "  Row(guests=1, response=u'yes', user_id=21212, when=1309441050000),\n",
       "  Row(guests=0, response=u'yes', user_id=37614, when=1309444201000),\n",
       "  Row(guests=1, response=u'yes', user_id=23075, when=1309445124000),\n",
       "  Row(guests=1, response=u'yes', user_id=62342, when=1309446897000),\n",
       "  Row(guests=1, response=u'yes', user_id=65575, when=1309434601000),\n",
       "  Row(guests=2, response=u'yes', user_id=59713, when=1309434127000),\n",
       "  Row(guests=1, response=u'yes', user_id=28129, when=1309434839000),\n",
       "  Row(guests=1, response=u'yes', user_id=18776, when=1309434811000),\n",
       "  Row(guests=1, response=u'yes', user_id=45776, when=1309436919000),\n",
       "  Row(guests=1, response=u'yes', user_id=32001, when=1309428759000),\n",
       "  Row(guests=0, response=u'yes', user_id=21418, when=1309378026000),\n",
       "  Row(guests=1, response=u'yes', user_id=65985, when=1309378873000),\n",
       "  Row(guests=2, response=u'yes', user_id=17432, when=1309332986000),\n",
       "  Row(guests=0, response=u'no', user_id=47880, when=1309248316000),\n",
       "  Row(guests=0, response=u'yes', user_id=12434, when=1309208777000),\n",
       "  Row(guests=0, response=u'yes', user_id=11369, when=1309202908000),\n",
       "  Row(guests=0, response=u'yes', user_id=64313, when=1309202412000),\n",
       "  Row(guests=1, response=u'yes', user_id=13115, when=1309192902000),\n",
       "  Row(guests=1, response=u'yes', user_id=13792, when=1309182033000),\n",
       "  Row(guests=2, response=u'yes', user_id=62390, when=1309110140000),\n",
       "  Row(guests=0, response=u'no', user_id=23334, when=1309119926000),\n",
       "  Row(guests=0, response=u'yes', user_id=62680, when=1309105729000),\n",
       "  Row(guests=0, response=u'yes', user_id=45842, when=1309099858000),\n",
       "  Row(guests=0, response=u'yes', user_id=39839, when=1309100200000),\n",
       "  Row(guests=0, response=u'yes', user_id=28986, when=1309088803000),\n",
       "  Row(guests=0, response=u'yes', user_id=46091, when=1309093610000)],\n",
       " 'status': u'past',\n",
       " 'time': 1310056200000,\n",
       " 'venue_id': 68572}"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "events = load_json('./events.json')\n",
    "r, = events.take(1)\n",
    "r.asDict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(41397, u'Docker-Randstad', 1),\n",
       " (55395, u'TitaniumNL', 2),\n",
       " (13886, u'ProductTank-AMS', 1),\n",
       " (31096, u'Belgian-Community-for-Software-Craftsmanship', 4),\n",
       " (39214, u'Internet-of-Things-Ghent', 1)]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_group_ratings = (\n",
    "    # Grab RSVPs from all events, but save the group name\n",
    "    events.flatMap(lambda e: [(e.group_id, r) for r in e.rsvps])\n",
    "    \n",
    "    # Keep only 'Yes' RSVPs\n",
    "    .filter(lambda (group, rsvp): rsvp.response == 'yes')\n",
    "    \n",
    "    # Key by user ID + group name\n",
    "    .keyBy(lambda (group, rsvp): (group, rsvp.user_id))\n",
    "    \n",
    "    # Create tuples containg key and a 1\n",
    "    .map(lambda (k, v): (k, 1))\n",
    "    \n",
    "    # Count number of yes RSVPs per user/group combo\n",
    "    # and use that as group rating for that user/group\n",
    "    .reduceByKey(lambda x,y: x+y)\n",
    "    \n",
    "    # Flatten tuples\n",
    "    .map(lambda ((group, user_id), rating): (user_id, group, rating))\n",
    ")\n",
    "\n",
    "user_group_ratings.take(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "from pyspark.mllib.recommendation import ALS, MatrixFactorizationModel, Rating"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(u'Meteor-Ruhrpott', 0),\n",
       " (u'PowerTools-test-automation-suite-meetup-group', 1),\n",
       " (u'Koln-Delphi-Meetup', 2),\n",
       " (u'Amsterdam-New-Technology-Meetup', 3),\n",
       " (u'MICvlaanderen', 4)]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "group_names = (\n",
    "    user_group_ratings\n",
    "    # Make tuples of (groupname, None)\n",
    "    .map(lambda (uid, group, r): (group, None))\n",
    "    \n",
    "    # Use reduceByKey to get all unique names\n",
    "    .reduceByKey(lambda x,y: None)\n",
    "    \n",
    "    # Remove None from tuple\n",
    "    .map(lambda (k,v): k)\n",
    "    \n",
    "    # Collect group names locally\n",
    "    .collect()\n",
    ")\n",
    "\n",
    "# Store group names in a dict keyed by ID for later decoding use\n",
    "group_names = {\n",
    "    id:group\n",
    "    for id, group in zip(range(len(group_names)), group_names)\n",
    "}\n",
    "\n",
    "# Create a new RDD with group names and numerical IDs for encoding\n",
    "group_ids = sc.parallelize(\n",
    "    [(group, id) for id, group in group_names.items()]\n",
    ")\n",
    "\n",
    "group_ids.take(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false,
    "scrolled": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Rating(user=32828, product=0, rating=8.0),\n",
       " Rating(user=12210, product=0, rating=1.0),\n",
       " Rating(user=14522, product=0, rating=2.0),\n",
       " Rating(user=15528, product=0, rating=1.0),\n",
       " Rating(user=50764, product=0, rating=1.0)]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Turn group names into numeric IDs\n",
    "\n",
    "ratings = (\n",
    "    user_group_ratings\n",
    "    # Use group name as key\n",
    "    .keyBy(lambda (user, group, rating): group)\n",
    "    \n",
    "    # Join with numeric group IDs\n",
    "    .join(group_ids)\n",
    "    \n",
    "    # Flatten resulting tuples\n",
    "    .map(lambda (id, ((uid, group, rating), group_id)): (uid, group_id, rating) )\n",
    "    \n",
    "    # Turn into Rating objects\n",
    "    .map(lambda t: Rating(*t))\n",
    ")\n",
    "\n",
    "ratings.take(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false,
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<pyspark.mllib.recommendation.MatrixFactorizationModel at 0x1034ebd90>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Build the recommendation model using Alternating Least Squares\n",
    "rank = 10\n",
    "numIterations = 15\n",
    "model = ALS.trainImplicit(ratings, rank, numIterations)\n",
    "\n",
    "model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false,
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user</th>\n",
       "      <th>groups</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>65548</td>\n",
       "      <td>010DEV | Dutch-Web-Operations-Meetup | Coding-with-Craftsmen | Amsterdam-WebRTC-Meetup | dev-070 | DevOpsAmsterdam | Microservices-Amsterdam</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10928</td>\n",
       "      <td>AmsterdamJS | amsterdam-scala | CocoaHeadsNL | AmsterdamUX | dutch-aug | Hackers-and-Founders-Amsterdam-NL | Startup-Bootcamp-Tech-Talks | StartupWeekendAmsterdam | Appsterdam</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>65598</td>\n",
       "      <td>Meteor-Cologne | sfugcgn | NoSQL-Usergroup-Cologne | Hackergarten-Cologne | pyCologne | WebWorker-Cologne | NiederrheinPM | Koln-eZ-Publish-Meetup | Koln-JavaScript-Learning-Group | Treffpunkt-Semicolon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>32840</td>\n",
       "      <td>Growth-Hackers-Amsterdam | AmsterdamJS | ProductTank-AMS | amsnode | Cloud9-Drinks</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>32780</td>\n",
       "      <td>Meteor-NL | Saturday-Morning-Coding-Utrecht | DomCode | WordPress-Meetup-Utrecht | ICT-CITY | NLUUG-Dutch-Unix-Linux-user-group | PermanentBeta | Dutch-DIY-Bio | Hackathon-Netherlands | Infi-Developers-Meetup</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>65714</td>\n",
       "      <td>Amsterdam-Elixir | Big-Data-Amsterdam | golang-amsterdam | Docker-Randstad | AngularJS-Amsterdam-Meetup | DataDonderdag | Amsterdam-rb</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>65766</td>\n",
       "      <td>SMC050 | GrunnJS | agileholland | Groningen-rb | Lean-Startup-Group-Groningen | DockerGrunn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>33182</td>\n",
       "      <td>AmsterdamPHP | AmsterdamJS | Coding-with-Craftsmen | Frontend-Developer-Meetup-Amsterdam | JavaScript-MVC-Meetup-Amsterdam | AngularJS-Amsterdam-Meetup | Dutch-AngularJS-group</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>33236</td>\n",
       "      <td>papers-we-love-amsterdam | nl-gug | Software-Circus | graphdb-netherlands | Big-Data-Amsterdam | amsterdam-scala | DomCode | dev-070 | dutch-django-assocation | Sytac-Dev-Jam | Amsterdam-Data-Science | Elastic-NL | Meteor-NL | nosql-nl | PyLadiesAMS | Netherlands-Hadoop-User-Group | Netherlands-Cassandra-Users | The-Amsterdam-Applied-Machine-Learning-Meetup-Group | Amsterdam-Spark | golang-amsterdam | JavaScript-MVC-Meetup-Amsterdam | dutchmug | Docker-Randstad | Amsterdam-Python-Meetup-Grou...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>33296</td>\n",
       "      <td>DomCode | dutch-django-assocation | Docker-Randstad | Netherlands-Hadoop-User-Group | Amsterdam-Python-Meetup-Group | The-Dutch-Cpp-Group</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>66136</td>\n",
       "      <td>Software-Testing-Nederland | FAT-Federation-of-Agile-Testers | Robot-Framework | devops-engineers | Appsterdam | Docker-Randstad | Mobile-Testing | Fitnesse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>33380</td>\n",
       "      <td>Amsterdam-HTML-CSS | Nijmegen-Developers-Meetup | NijmegenJS | AmsterdamPHP | GameLabs</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>33382</td>\n",
       "      <td>IoT-CGN | OpenStack-X | Docker-Cologne | Lego-Mindstorms-Meetup-Cologne | Cologne-Virtual-Reality-Meetup | inovex-cologne | NoSQL-Usergroup-Cologne | mobilecgn | Hackergarten-Cologne | DevCamp4Kids-Koeln</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>33428</td>\n",
       "      <td>fp-ams | Dutch-Perl-Mongers | Functional-Rotterdam | DomCode | PyLadiesAMS | Utrecht-JavaScript-Meetup | The-Amsterdam-Applied-Machine-Learning-Meetup-Group | Amsterdam-Python-Meetup-Group | NLHTML5 | ReactJS-NL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>66284</td>\n",
       "      <td>GameLabs | amsterdam-scala | CMD-ICT | Nijmegen-Developers-Meetup | onlineoptimizers | Data-Drive | PermanentBeta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>33518</td>\n",
       "      <td>DEVdev-powered-by-Topicus | PHP-Webdev-Achterhoek-Meetup | AmsterdamPHP | PHP-Zwolle | Apeldoorn-Webdevs | DomCode | PHPTwente | PolderPHP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>66390</td>\n",
       "      <td>UvA-Minor-Programmeren | Amsterdam-HTML-CSS | Frontend-Developer-Meetup-Amsterdam | AmsterdamPHP | ocamsterdam | Hackers-and-Founders-Amsterdam-NL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>33670</td>\n",
       "      <td>nosql-nl | textkernel-talks | Data-Science-Amsterdam | Netherlands-Hadoop-User-Group | The-Amsterdam-Applied-Machine-Learning-Meetup-Group | dutchmug</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>66464</td>\n",
       "      <td>sensemakersams | SiliconDrinkabout020 | PermanentBeta | Appsterdam | 3D-print</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>60230</td>\n",
       "      <td>Amsterdam-HTML-CSS | AmsterdamJS | sensemakersams | Appsterdam | React-Amsterdam | JavaScript-MVC-Meetup-Amsterdam</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>66484</td>\n",
       "      <td>software-architecture-pressure-cooker-meetup | AmsterdamJS | AmsterdamPHP | amsnode | Hackers-and-Founders-Amsterdam-NL | golang-amsterdam</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>66560</td>\n",
       "      <td>Utrecht-rb | agileholland | graphdb-netherlands | The-Amsterdam-Clojure-Meetup-Group | ReactJS-NL | Netherlands-Cassandra-Users</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>66568</td>\n",
       "      <td>AmsterdamPHP | Dutch-Web-Operations-Meetup | Agile-Amsterdam | DevOpsAmsterdam | dutch-django-assocation | Amsterdam-Python-Meetup-Group | ocamsterdam | DataDonderdag | AWS-Amsterdam | Netherlands-Cassandra-Users | Symfony-User-Group-NL | StartupWeekendAmsterdam | Docker-Randstad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>33840</td>\n",
       "      <td>The-Amsterdam-Clojure-Meetup-Group | papers-we-love-amsterdam | Elastic-NL | SiliconDrinkabout020 | graphdb-netherlands | nosql-nl | Saturday-Morning-Coding-Utrecht | DevOpsAmsterdam | Amsterdam-Riak | sensemakersams | dutch-django-assocation | Appsterdam | Netherlands-Hadoop-User-Group | UXGames | null-The-Open-Security-Group | Hackers-and-Founders-Amsterdam-NL | DataScienceNL | golang-amsterdam | The-Amsterdam-Applied-Machine-Learning-Meetup-Group</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>33848</td>\n",
       "      <td>LeanStartupNL | amsterdam-scala | ac-ams | agileholland | Hackers-and-Founders-Amsterdam-NL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>66730</td>\n",
       "      <td>Amsterdam-WebRTC-Meetup | Frontend-Developer-Meetup-Amsterdam | Microservices-Amsterdam | Front-in-Amsterdam | Coding-with-Craftsmen | dutch-django-assocation | AmsterdamJS | Amsterdam-Python-Meetup-Group | Appsterdam | devhaag | ReactJS-NL | JavaScript-MVC-Meetup-Amsterdam | Docker-Randstad | React-Amsterdam | Hackers-and-Founders-Amsterdam-NL | Mesos-Amsterdam | OpenCoffeeDenHaag</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>34000</td>\n",
       "      <td>010DEV | RailsGirls-NL | denhaagrb | Amsterdam-rb | Rotterdam-rb</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>34010</td>\n",
       "      <td>Frontend-Developer-Meetup-Amsterdam | Designer-Developer-Dribbble-Hangout-Amsterdam | SiliconDrinkabout020 | Meteor-NL | Amsterdam-HTML-CSS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>34018</td>\n",
       "      <td>AmsterdamPHP | DevOpsAmsterdam | Symfony-User-Group-NL | Hackers-and-Founders-Amsterdam-NL | Docker-Randstad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>34048</td>\n",
       "      <td>sensemakersams | Hackers-and-Founders-Amsterdam-NL | Appsterdam | Dutch-AngularJS-group | dutchmug | dutch-aug | ocamsterdam</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>34052</td>\n",
       "      <td>OSGeoNL | devops-engineers | Maptime-AMS | dutch-django-assocation | sensemakersams | GeoForts-sideshow-diverse-activiteiten-op-het-fort | AmsGeoDrinks | AWS-Amsterdam</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>66828</td>\n",
       "      <td>Amsterdam-Data-Science | Amsterdam-Startup-Founder-101 | Big-Data-Amsterdam | amst-R-dam | Amsterdam-Python-Meetup-Group | Hackers-and-Founders-Amsterdam-NL | Amsterdam-Spark</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>34064</td>\n",
       "      <td>ProductDesignMeetup | phpbenelux | mongodb-belgium | php-wvl | phpgent | phpantwerp</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>22064</td>\n",
       "      <td>Amsterdam-Innovative-startups | InnovationHolland | SiliconDrinkabout020 | Hackers-and-Founders-Amsterdam-NL | Appsterdam | Food-tech-Amsterdam | ocamsterdam</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>34104</td>\n",
       "      <td>Data-Science-Amsterdam | DataScienceNL | amst-R-dam | Mesos-Amsterdam | The-Dutch-Cpp-Group | Amsterdam-Spark | DataDonderdag | The-Amsterdam-Applied-Machine-Learning-Meetup-Group | Netherlands-Hadoop-User-Group | DataMission-Data-and-Digital-Technology-for-Humanity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>66946</td>\n",
       "      <td>Dutch-Data-Science-Meetup-Group | Big-Data-Amsterdam | Artificial-Intelligence-Amsterdam | DataScienceNL | 010PHP | The-Amsterdam-Applied-Machine-Learning-Meetup-Group</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>34216</td>\n",
       "      <td>Hacks-Hackers-Amsterdam | RailsGirls-NL | Amsterdam-HTML-CSS | Saturday-Morning-Coding-Amsterdam | JavaScript-MVC-Meetup-Amsterdam | React-Amsterdam</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>67072</td>\n",
       "      <td>RailsGirls-NL | Dutch-GitLab-Meetup-Group | DomCode | Meteor-NL | Utrecht-rb | Amsterdam-rb | denhaagrb</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>34418</td>\n",
       "      <td>DevOpsAmsterdam | Openstack-Amsterdam | Coding-with-Craftsmen | AmsterdamJS | drupalnl | AmsterdamPHP | Dutch-Puppet-User-Group | Microservices-Amsterdam | Dutch-AngularJS-group | Technologia-Incognita | Dutch-DIY-Bio | Agilegroup | Hackers-and-Founders-Amsterdam-NL | Docker-Randstad | Drupal-Amsterdam</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>34440</td>\n",
       "      <td>SiliconDrinkabout020 | Amsterdam-Innovative-startups | Appsterdam | Amsterdam-Python-Meetup-Group | Hackers-and-Founders-Amsterdam-NL | Rockstart-Amsterdam</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     user  \\\n",
       "0   65548   \n",
       "1   10928   \n",
       "2   65598   \n",
       "3   32840   \n",
       "4   32780   \n",
       "5   65714   \n",
       "6   65766   \n",
       "7   33182   \n",
       "8   33236   \n",
       "9   33296   \n",
       "10  66136   \n",
       "11  33380   \n",
       "12  33382   \n",
       "13  33428   \n",
       "14  66284   \n",
       "15  33518   \n",
       "16  66390   \n",
       "17  33670   \n",
       "18  66464   \n",
       "19  60230   \n",
       "20  66484   \n",
       "21  66560   \n",
       "22  66568   \n",
       "23  33840   \n",
       "24  33848   \n",
       "25  66730   \n",
       "26  34000   \n",
       "27  34010   \n",
       "28  34018   \n",
       "29  34048   \n",
       "30  34052   \n",
       "31  66828   \n",
       "32  34064   \n",
       "33  22064   \n",
       "34  34104   \n",
       "35  66946   \n",
       "36  34216   \n",
       "37  67072   \n",
       "38  34418   \n",
       "39  34440   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 groups  \n",
       "0                                                                                                                                                                                                                                                                                                                                                                          010DEV | Dutch-Web-Operations-Meetup | Coding-with-Craftsmen | Amsterdam-WebRTC-Meetup | dev-070 | DevOpsAmsterdam | Microservices-Amsterdam  \n",
       "1                                                                                                                                                                                                                                                                                                                                       AmsterdamJS | amsterdam-scala | CocoaHeadsNL | AmsterdamUX | dutch-aug | Hackers-and-Founders-Amsterdam-NL | Startup-Bootcamp-Tech-Talks | StartupWeekendAmsterdam | Appsterdam  \n",
       "2                                                                                                                                                                                                                                                                                                            Meteor-Cologne | sfugcgn | NoSQL-Usergroup-Cologne | Hackergarten-Cologne | pyCologne | WebWorker-Cologne | NiederrheinPM | Koln-eZ-Publish-Meetup | Koln-JavaScript-Learning-Group | Treffpunkt-Semicolon  \n",
       "3                                                                                                                                                                                                                                                                                                                                                                                                                                    Growth-Hackers-Amsterdam | AmsterdamJS | ProductTank-AMS | amsnode | Cloud9-Drinks  \n",
       "4                                                                                                                                                                                                                                                                                                      Meteor-NL | Saturday-Morning-Coding-Utrecht | DomCode | WordPress-Meetup-Utrecht | ICT-CITY | NLUUG-Dutch-Unix-Linux-user-group | PermanentBeta | Dutch-DIY-Bio | Hackathon-Netherlands | Infi-Developers-Meetup  \n",
       "5                                                                                                                                                                                                                                                                                                                                                                                Amsterdam-Elixir | Big-Data-Amsterdam | golang-amsterdam | Docker-Randstad | AngularJS-Amsterdam-Meetup | DataDonderdag | Amsterdam-rb  \n",
       "6                                                                                                                                                                                                                                                                                                                                                                                                                           SMC050 | GrunnJS | agileholland | Groningen-rb | Lean-Startup-Group-Groningen | DockerGrunn  \n",
       "7                                                                                                                                                                                                                                                                                                                                       AmsterdamPHP | AmsterdamJS | Coding-with-Craftsmen | Frontend-Developer-Meetup-Amsterdam | JavaScript-MVC-Meetup-Amsterdam | AngularJS-Amsterdam-Meetup | Dutch-AngularJS-group  \n",
       "8   papers-we-love-amsterdam | nl-gug | Software-Circus | graphdb-netherlands | Big-Data-Amsterdam | amsterdam-scala | DomCode | dev-070 | dutch-django-assocation | Sytac-Dev-Jam | Amsterdam-Data-Science | Elastic-NL | Meteor-NL | nosql-nl | PyLadiesAMS | Netherlands-Hadoop-User-Group | Netherlands-Cassandra-Users | The-Amsterdam-Applied-Machine-Learning-Meetup-Group | Amsterdam-Spark | golang-amsterdam | JavaScript-MVC-Meetup-Amsterdam | dutchmug | Docker-Randstad | Amsterdam-Python-Meetup-Grou...  \n",
       "9                                                                                                                                                                                                                                                                                                                                                                             DomCode | dutch-django-assocation | Docker-Randstad | Netherlands-Hadoop-User-Group | Amsterdam-Python-Meetup-Group | The-Dutch-Cpp-Group  \n",
       "10                                                                                                                                                                                                                                                                                                                                                         Software-Testing-Nederland | FAT-Federation-of-Agile-Testers | Robot-Framework | devops-engineers | Appsterdam | Docker-Randstad | Mobile-Testing | Fitnesse  \n",
       "11                                                                                                                                                                                                                                                                                                                                                                                                                               Amsterdam-HTML-CSS | Nijmegen-Developers-Meetup | NijmegenJS | AmsterdamPHP | GameLabs  \n",
       "12                                                                                                                                                                                                                                                                                                          IoT-CGN | OpenStack-X | Docker-Cologne | Lego-Mindstorms-Meetup-Cologne | Cologne-Virtual-Reality-Meetup | inovex-cologne | NoSQL-Usergroup-Cologne | mobilecgn | Hackergarten-Cologne | DevCamp4Kids-Koeln  \n",
       "13                                                                                                                                                                                                                                                                                                  fp-ams | Dutch-Perl-Mongers | Functional-Rotterdam | DomCode | PyLadiesAMS | Utrecht-JavaScript-Meetup | The-Amsterdam-Applied-Machine-Learning-Meetup-Group | Amsterdam-Python-Meetup-Group | NLHTML5 | ReactJS-NL  \n",
       "14                                                                                                                                                                                                                                                                                                                                                                                                    GameLabs | amsterdam-scala | CMD-ICT | Nijmegen-Developers-Meetup | onlineoptimizers | Data-Drive | PermanentBeta  \n",
       "15                                                                                                                                                                                                                                                                                                                                                                           DEVdev-powered-by-Topicus | PHP-Webdev-Achterhoek-Meetup | AmsterdamPHP | PHP-Zwolle | Apeldoorn-Webdevs | DomCode | PHPTwente | PolderPHP  \n",
       "16                                                                                                                                                                                                                                                                                                                                                                   UvA-Minor-Programmeren | Amsterdam-HTML-CSS | Frontend-Developer-Meetup-Amsterdam | AmsterdamPHP | ocamsterdam | Hackers-and-Founders-Amsterdam-NL  \n",
       "17                                                                                                                                                                                                                                                                                                                                                                nosql-nl | textkernel-talks | Data-Science-Amsterdam | Netherlands-Hadoop-User-Group | The-Amsterdam-Applied-Machine-Learning-Meetup-Group | dutchmug  \n",
       "18                                                                                                                                                                                                                                                                                                                                                                                                                                        sensemakersams | SiliconDrinkabout020 | PermanentBeta | Appsterdam | 3D-print  \n",
       "19                                                                                                                                                                                                                                                                                                                                                                                                   Amsterdam-HTML-CSS | AmsterdamJS | sensemakersams | Appsterdam | React-Amsterdam | JavaScript-MVC-Meetup-Amsterdam  \n",
       "20                                                                                                                                                                                                                                                                                                                                                                           software-architecture-pressure-cooker-meetup | AmsterdamJS | AmsterdamPHP | amsnode | Hackers-and-Founders-Amsterdam-NL | golang-amsterdam  \n",
       "21                                                                                                                                                                                                                                                                                                                                                                                      Utrecht-rb | agileholland | graphdb-netherlands | The-Amsterdam-Clojure-Meetup-Group | ReactJS-NL | Netherlands-Cassandra-Users  \n",
       "22                                                                                                                                                                                                                             AmsterdamPHP | Dutch-Web-Operations-Meetup | Agile-Amsterdam | DevOpsAmsterdam | dutch-django-assocation | Amsterdam-Python-Meetup-Group | ocamsterdam | DataDonderdag | AWS-Amsterdam | Netherlands-Cassandra-Users | Symfony-User-Group-NL | StartupWeekendAmsterdam | Docker-Randstad  \n",
       "23                                                The-Amsterdam-Clojure-Meetup-Group | papers-we-love-amsterdam | Elastic-NL | SiliconDrinkabout020 | graphdb-netherlands | nosql-nl | Saturday-Morning-Coding-Utrecht | DevOpsAmsterdam | Amsterdam-Riak | sensemakersams | dutch-django-assocation | Appsterdam | Netherlands-Hadoop-User-Group | UXGames | null-The-Open-Security-Group | Hackers-and-Founders-Amsterdam-NL | DataScienceNL | golang-amsterdam | The-Amsterdam-Applied-Machine-Learning-Meetup-Group  \n",
       "24                                                                                                                                                                                                                                                                                                                                                                                                                          LeanStartupNL | amsterdam-scala | ac-ams | agileholland | Hackers-and-Founders-Amsterdam-NL  \n",
       "25                                                                                                                     Amsterdam-WebRTC-Meetup | Frontend-Developer-Meetup-Amsterdam | Microservices-Amsterdam | Front-in-Amsterdam | Coding-with-Craftsmen | dutch-django-assocation | AmsterdamJS | Amsterdam-Python-Meetup-Group | Appsterdam | devhaag | ReactJS-NL | JavaScript-MVC-Meetup-Amsterdam | Docker-Randstad | React-Amsterdam | Hackers-and-Founders-Amsterdam-NL | Mesos-Amsterdam | OpenCoffeeDenHaag  \n",
       "26                                                                                                                                                                                                                                                                                                                                                                                                                                                     010DEV | RailsGirls-NL | denhaagrb | Amsterdam-rb | Rotterdam-rb  \n",
       "27                                                                                                                                                                                                                                                                                                                                                                          Frontend-Developer-Meetup-Amsterdam | Designer-Developer-Dribbble-Hangout-Amsterdam | SiliconDrinkabout020 | Meteor-NL | Amsterdam-HTML-CSS  \n",
       "28                                                                                                                                                                                                                                                                                                                                                                                                         AmsterdamPHP | DevOpsAmsterdam | Symfony-User-Group-NL | Hackers-and-Founders-Amsterdam-NL | Docker-Randstad  \n",
       "29                                                                                                                                                                                                                                                                                                                                                                                         sensemakersams | Hackers-and-Founders-Amsterdam-NL | Appsterdam | Dutch-AngularJS-group | dutchmug | dutch-aug | ocamsterdam  \n",
       "30                                                                                                                                                                                                                                                                                                                                              OSGeoNL | devops-engineers | Maptime-AMS | dutch-django-assocation | sensemakersams | GeoForts-sideshow-diverse-activiteiten-op-het-fort | AmsGeoDrinks | AWS-Amsterdam  \n",
       "31                                                                                                                                                                                                                                                                                                                                       Amsterdam-Data-Science | Amsterdam-Startup-Founder-101 | Big-Data-Amsterdam | amst-R-dam | Amsterdam-Python-Meetup-Group | Hackers-and-Founders-Amsterdam-NL | Amsterdam-Spark  \n",
       "32                                                                                                                                                                                                                                                                                                                                                                                                                                  ProductDesignMeetup | phpbenelux | mongodb-belgium | php-wvl | phpgent | phpantwerp  \n",
       "33                                                                                                                                                                                                                                                                                                                                                        Amsterdam-Innovative-startups | InnovationHolland | SiliconDrinkabout020 | Hackers-and-Founders-Amsterdam-NL | Appsterdam | Food-tech-Amsterdam | ocamsterdam  \n",
       "34                                                                                                                                                                                                                                           Data-Science-Amsterdam | DataScienceNL | amst-R-dam | Mesos-Amsterdam | The-Dutch-Cpp-Group | Amsterdam-Spark | DataDonderdag | The-Amsterdam-Applied-Machine-Learning-Meetup-Group | Netherlands-Hadoop-User-Group | DataMission-Data-and-Digital-Technology-for-Humanity  \n",
       "35                                                                                                                                                                                                                                                                                                                                              Dutch-Data-Science-Meetup-Group | Big-Data-Amsterdam | Artificial-Intelligence-Amsterdam | DataScienceNL | 010PHP | The-Amsterdam-Applied-Machine-Learning-Meetup-Group  \n",
       "36                                                                                                                                                                                                                                                                                                                                                                 Hacks-Hackers-Amsterdam | RailsGirls-NL | Amsterdam-HTML-CSS | Saturday-Morning-Coding-Amsterdam | JavaScript-MVC-Meetup-Amsterdam | React-Amsterdam  \n",
       "37                                                                                                                                                                                                                                                                                                                                                                                                              RailsGirls-NL | Dutch-GitLab-Meetup-Group | DomCode | Meteor-NL | Utrecht-rb | Amsterdam-rb | denhaagrb  \n",
       "38                                                                                                                                                                                                      DevOpsAmsterdam | Openstack-Amsterdam | Coding-with-Craftsmen | AmsterdamJS | drupalnl | AmsterdamPHP | Dutch-Puppet-User-Group | Microservices-Amsterdam | Dutch-AngularJS-group | Technologia-Incognita | Dutch-DIY-Bio | Agilegroup | Hackers-and-Founders-Amsterdam-NL | Docker-Randstad | Drupal-Amsterdam  \n",
       "39                                                                                                                                                                                                                                                                                                                                                          SiliconDrinkabout020 | Amsterdam-Innovative-startups | Appsterdam | Amsterdam-Python-Meetup-Group | Hackers-and-Founders-Amsterdam-NL | Rockstart-Amsterdam  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let's have a look at some users\n",
    "pd.set_option(\"max_colwidth\", 500)\n",
    "\n",
    "pd.DataFrame(\n",
    "    user_group_ratings\n",
    "    # Key ratings by user id\n",
    "    .keyBy(lambda (user, group, rating): user)\n",
    "    \n",
    "    # Group by user\n",
    "    .groupByKey()\n",
    "    \n",
    "    # Materialise groups into lists (Spark return a lazy iterable)\n",
    "    .map(lambda (uid, ratings): (uid, list(ratings)))\n",
    "    \n",
    "    # Only look at users with at least some amount of groups\n",
    "    .filter(lambda (uid, ratings): len(ratings) > 4)\n",
    "    \n",
    "    # Stringify\n",
    "    .map(lambda (uid, ratings): (uid, ' | '.join([g for u,g,r in ratings])))\n",
    "    \n",
    "    # Let's see some\n",
    "    .take(40),\n",
    "    columns=['user', 'groups']\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[u'Hackers-and-Founders-Amsterdam-NL',\n",
       " u'AmsterdamUX',\n",
       " u'sensemakersams',\n",
       " u'OpenCoffeeDenHaag',\n",
       " u'AmsterdamPHP']"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_id = 32840\n",
    "[\n",
    "    group_names[r.product]\n",
    "    for r in model.recommendProducts(user_id, 5)\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Another approach: frequent itemset mining\n",
    "---\n",
    "\n",
    "The FP-growth algorithm attempts to find frequent co-occurring items in a collection of transaction with multiple items."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{u'3D-print',\n",
       "  u'AWS-Amsterdam',\n",
       "  u'Amsterdam-SDN-Group',\n",
       "  u'Amsterdam-Web-Developers-Meetup',\n",
       "  u'AngularJS-Amsterdam-Meetup',\n",
       "  u'Cloud-Computing-Forum',\n",
       "  u'Docker-Randstad',\n",
       "  u'Dutch-API-Community',\n",
       "  u'Dutch-Mobile-NET-Developers-Group',\n",
       "  u'Frontend-Developer-Meetup-Amsterdam',\n",
       "  u'Hackathon-Netherlands',\n",
       "  u'IoT-NL',\n",
       "  u'Meteor-NL',\n",
       "  u'Microservices-Amsterdam',\n",
       "  u'NLHTML5',\n",
       "  u'devops-engineers',\n",
       "  u'iot-convergingmedia',\n",
       "  u'sensemakersams'},\n",
       " {u'AmsterdamJS',\n",
       "  u'Ember-js-Amsterdam',\n",
       "  u'Frontend-Developer-Meetup-Amsterdam',\n",
       "  u'JavaScript-MVC-Meetup-Amsterdam',\n",
       "  u'Leiden-Python-Meetup-Group',\n",
       "  u'dutch-django-assocation'}]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "transactions = (\n",
    "    members\n",
    "    # Turn members into lists of groups that they've joined\n",
    "    .map(lambda m: set([ms.group_id for ms in m.memberships]))\n",
    "    \n",
    "    # Keep only lists with 5 or more items\n",
    "    .filter(lambda itemset: len(itemset) > 3)\n",
    ")\n",
    "\n",
    "transactions.take(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "from pyspark.mllib.fpm import FPGrowth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false,
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[FreqItemset(items=[u'Big-Data-Amsterdam', u'sensemakersams'], freq=341),\n",
       " FreqItemset(items=[u'JavaScript-MVC-Meetup-Amsterdam', u'AmsterdamJS'], freq=389),\n",
       " FreqItemset(items=[u'LeanStartupNL', u'Hackers-and-Founders-Amsterdam-NL'], freq=299),\n",
       " FreqItemset(items=[u'StartupWeekendAmsterdam', u'Appsterdam'], freq=413),\n",
       " FreqItemset(items=[u'StartupWeekendAmsterdam', u'ocamsterdam'], freq=374),\n",
       " FreqItemset(items=[u'StartupWeekendAmsterdam', u'Hackers-and-Founders-Amsterdam-NL'], freq=467),\n",
       " FreqItemset(items=[u'Amsterdam-Data-Science', u'Big-Data-Amsterdam'], freq=339),\n",
       " FreqItemset(items=[u'Appsterdam', u'Hackers-and-Founders-Amsterdam-NL'], freq=901),\n",
       " FreqItemset(items=[u'DevOpsAmsterdam', u'Docker-Randstad'], freq=383),\n",
       " FreqItemset(items=[u'SiliconDrinkabout020', u'Hackers-and-Founders-Amsterdam-NL'], freq=301),\n",
       " FreqItemset(items=[u'sensemakersams', u'Appsterdam'], freq=461),\n",
       " FreqItemset(items=[u'sensemakersams', u'Hackers-and-Founders-Amsterdam-NL'], freq=518),\n",
       " FreqItemset(items=[u'amsnode', u'AmsterdamJS'], freq=346),\n",
       " FreqItemset(items=[u'Frontend-Developer-Meetup-Amsterdam', u'AmsterdamJS'], freq=337),\n",
       " FreqItemset(items=[u'AmsterdamJS', u'Hackers-and-Founders-Amsterdam-NL'], freq=334),\n",
       " FreqItemset(items=[u'ocamsterdam', u'sensemakersams'], freq=327),\n",
       " FreqItemset(items=[u'ocamsterdam', u'Appsterdam'], freq=590),\n",
       " FreqItemset(items=[u'ocamsterdam', u'Appsterdam', u'Hackers-and-Founders-Amsterdam-NL'], freq=398),\n",
       " FreqItemset(items=[u'ocamsterdam', u'Hackers-and-Founders-Amsterdam-NL'], freq=648)]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fp_model = FPGrowth.train(transactions, minSupport=0.03, numPartitions=4)\n",
    "\n",
    "fp_model.freqItemsets().filter(lambda s: len(s.items) > 1).collect()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
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   },
   "source": [
    "# Other ideas\n",
    "---\n",
    "\n",
    "- Model meetups and members as a network and perform network community detection.\n",
    "- Look at Spark [GraphX](https://spark.apache.org/docs/latest/graphx-programming-guide.html)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Non-Spark example of this idea\n",
    "---\n",
    "http://blog.godatadriven.com/dutch-data-meetup-ecosystem.html\n",
    "\n",
    "![communities](http://blog.godatadriven.com/static/images/meetup-notebooks/meetup-community-graph.svg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Thanks for listening!\n",
    "---\n",
    "\n",
    "# Q&A\n",
    "\n",
    "Friso van Vollenhoven / [@fzk](https://twitter.com/fzk)\n",
    "\n",
    "Oh yeah, *http://www.godatadriven.com/careers.html*"
   ]
  }
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