vitillo/Gecko thread activity.ipynb

## Gecko thread activity.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### E10S Experiment Beta, thread activity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unable to parse whitelist (/home/hadoop/anaconda2/lib/python2.7/site-packages/moztelemetry/bucket-whitelist.json). Assuming all histograms are acceptable.\n",
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "import ujson as json\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import plotly.plotly as py\n",
    "import IPython\n",
    "import functools\n",
    "\n",
    "from __future__ import division\n",
    "from moztelemetry.spark import get_pings, get_one_ping_per_client, get_pings_properties\n",
    "from montecarlino import grouped_permutation_test\n",
    "from whitelist import ADDON_WHITELIST\n",
    "\n",
    "%pylab inline\n",
    "IPython.core.pylabtools.figsize(16, 7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "16"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sc.defaultParallelism"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Get e10s and non-e10s partitions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "dataset = sqlContext.read.load(\"s3://telemetry-parquet/e10s-experiment/e10s-enabled-beta-20151214@experiments.mozilla.org/generationDate=20160106\", \"parquet\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Only consider builds with [bug 1234618](https://bugzilla.mozilla.org/show_bug.cgi?id=1234618) BHR fix:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "dataset = dataset.filter(dataset.buildId >= '20151228134903')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sample by clientId:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sampled = dataset.filter(dataset.sampleId <= 30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18640"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sampled.filter(dataset[\"experimentBranch\"] == \"experiment\").count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "19208"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sampled.filter(dataset[\"experimentBranch\"] == \"control\").count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Transform Dataframe to RDD of pings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def row_2_ping(row):\n",
    "    ping = {\"payload\": {\"threadHangStats\": json.loads(row.threadHangStats)},\n",
    "            \"environment\": {\"addons\": json.loads(row.addons)},\n",
    "            \"e10s\": True if row.experimentBranch == \"experiment\" else False}\n",
    "    return ping\n",
    "\n",
    "subset = sampled.rdd.map(row_2_ping)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Facet population by add-ons category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def has_only_whitelisted_addons(ping):\n",
    "    addons = ping[\"environment\"][\"addons\"][\"activeAddons\"]\n",
    "    if not addons:\n",
    "        return False\n",
    "    for addon in addons:\n",
    "        if not addon in ADDON_WHITELIST:\n",
    "            return False\n",
    "    return True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "all_clients = subset\n",
    "with_extensions = subset.filter(lambda p: len(p[\"environment\"][\"addons\"][\"activeAddons\"]) != 0)\n",
    "no_extensions = subset.filter(lambda p: len(p[\"environment\"][\"addons\"][\"activeAddons\"]) == 0)\n",
    "whitelisted = subset.filter(has_only_whitelisted_addons)\n",
    "blacklisted = subset.filter(lambda p: not has_only_whitelisted_addons(p))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def chi2_distance(xs, ys, eps = 1e-10, normalize = True):\n",
    "    histA = xs.sum(axis=0)\n",
    "    histB = ys.sum(axis=0)\n",
    "    \n",
    "    if normalize:\n",
    "        histA = histA/histA.sum()\n",
    "        histB = histB/histB.sum()\n",
    "    \n",
    "    d = 0.5 * np.sum([((a - b) ** 2) / (a + b + eps)\n",
    "        for (a, b) in zip(histA, histB)])\n",
    "\n",
    "    return d\n",
    "\n",
    "\n",
    "def ignore_below_(min_limit, histogram):\n",
    "    histogram = histogram.ix[65:].set_value(0, histogram.ix[0: 64].sum()).sort_index()\n",
    "    histogram = histogram.ix[min_limit:]\n",
    "    return histogram\n",
    "\n",
    "\n",
    "def ignore_below(histograms, min_limit=0):\n",
    "    return histograms.map(functools.partial(ignore_below_, min_limit))\n",
    "\n",
    "\n",
    "def compare_histogram(histogram, e10s, none10s):\n",
    "    pvalue = grouped_permutation_test(chi2_distance, [e10s, none10s], num_samples=100)\n",
    "    \n",
    "    eTotal = e10s.sum()\n",
    "    nTotal = none10s.sum()\n",
    "                \n",
    "    fig = plt.figure()\n",
    "    fig.subplots_adjust(hspace=0.3)\n",
    "        \n",
    "    ax = fig.add_subplot(1, 1, 1)\n",
    "    ax2 = ax.twinx()\n",
    "    width = 0.4\n",
    "    ylim = max(eTotal.max(), nTotal.max())\n",
    "        \n",
    "    eTotal.plot(kind=\"bar\", alpha=0.5, color=\"green\", label=\"e10s\", ax=ax, width=width, position=0, ylim=(0, ylim + 1))\n",
    "    nTotal.plot(kind=\"bar\", alpha=0.5, color=\"blue\", label=\"non e10s\", ax=ax2, width=width, position=1, grid=False, ylim=ax.get_ylim())\n",
    "        \n",
    "    ax.legend(ax.get_legend_handles_labels()[0] + ax2.get_legend_handles_labels()[0],\n",
    "              [\"e10s ({} samples\".format(len(e10s)), \"non e10s ({} samples)\".format(len(none10s))])\n",
    "\n",
    "    plt.title(histogram)\n",
    "    plt.xlabel(histogram)\n",
    "    plt.ylabel(\"Frequency %\")\n",
    "    plt.show()\n",
    "        \n",
    "    print \"The probability that the distributions for {} are differing by chance is {:.2f}.\".format(histogram, pvalue)\n",
    "\n",
    "\n",
    "def compare_histograms(histogram, e10s, none10s, min_limit):\n",
    "    e10s = ignore_below(e10s, min_limit)\n",
    "    none10s = ignore_below(none10s, min_limit)\n",
    "    compare_histogram(histogram, e10s, none10s)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Thread activity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def get_activity(ping):\n",
    "    for thread in ping[\"payload\"][\"threadHangStats\"]:\n",
    "        if thread[\"name\"] != \"Gecko\":\n",
    "            continue\n",
    "\n",
    "        values = {str(int(k) + 1): v for k, v in thread[\"activity\"][\"values\"].iteritems()}                                       \n",
    "        yield {\"e10s\": ping[\"e10s\"],\n",
    "               \"payload\": {\"histograms\": {\"GECKO_THREAD_ACTIVITY_MS\": {\"values\": values}}}}\n",
    "        \n",
    "\n",
    "def compare_thread_activity(pings, name, annotation):\n",
    "    histograms = json.loads(\"\"\"\n",
    "    {\n",
    "      \"GECKO_THREAD_ACTIVITY_MS\": {\n",
    "        \"expires_in_version\": \"default\",\n",
    "        \"kind\": \"exponential\",\n",
    "        \"high\": \"2**24\",\n",
    "        \"n_buckets\": 26,\n",
    "        \"description\": \"\"\n",
    "      }\n",
    "    }\n",
    "    \"\"\")\n",
    "                \n",
    "    histogram = \"payload/histograms/GECKO_THREAD_ACTIVITY_MS\"\n",
    "    props = get_pings_properties(pings.flatMap(get_activity), [\"e10s\", histogram], additional_histograms=histograms)\n",
    "    frame = pd.DataFrame(props.collect())\n",
    "    \n",
    "    e10s = frame[frame[\"e10s\"] == True]\n",
    "    none10s = frame[frame[\"e10s\"] == False]\n",
    "    \n",
    "    compare_histograms(\"{} ({})\".format(histogram, annotation), e10s[histogram].dropna(), none10s[histogram].dropna(), 0)\n",
    "    compare_histograms(\"{} ({})\".format(histogram, annotation), e10s[histogram].dropna(), none10s[histogram].dropna(), 50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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1V3uULtmzks6zYLK/yhbc0qmg17/QpRJxZimY5O73FkyMl2bBralOjStXktWKC9wWXPd8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\n1nV+AFU+2A0AAAA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AAAAAIo/wCwAAAACIPMIvAAAAACDyCL8AAAAAgMgj/AIA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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f24ae0be3d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The probability that the distributions for payload/histograms/GECKO_THREAD_ACTIVITY_MS (All clients) are differing by chance is 0.00.\n"
     ]
    },
    {
     "data": {
      "image/png": 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++GLatm3LpZdeyjHHHFOjbClBuHibb37zm0ydOpVNN92Un/70p9x99911BvvD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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f24b0ebfd10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The probability that the distributions for payload/histograms/GECKO_THREAD_ACTIVITY_MS (All clients) are differing by chance is 0.00.\n"
     ]
    },
    {
     "data": {
      "image/png": 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OOeewePHiGuuF7Frxk046qeh+NlZRl7MK9bKhiLQi2zruuGH19r1p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\npcHSWJfw7wLftH1AB4rfcyk/yL5GaSgiyvLDtwCM7W9rI0k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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f24b07af390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The probability that the distributions for payload/histograms/GECKO_THREAD_ACTIVITY_MS (Users with extensions) are differing by chance is 0.00.\n"
     ]
    },
    {
     "data": {
      "image/png": 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FF/Pggw8C8Ktf/YqnnnqKt99+m2XLljFs2DD23XdfPvroo1XK7tu3Lz/60Y84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\nqxxzyCGHMG3aNG6++WaWL1/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pDO/lx88GuhTk35LsDsbsfLt6ekWersCciNgIaJ1SmhcR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\naDPXvthNd/9d4DvAh6rqxn6ju3VJ3kD7GfVa2tKcn9FmFj4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CeFZVXTeU1wbcopjVCcAP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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f24b052c210>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The probability that the distributions for payload/histograms/GECKO_THREAD_ACTIVITY_MS (Users with extensions) are differing by chance is 0.00.\n"
     ]
    },
    {
     "data": {
      "image/png": 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+Q3nCvVynyUbbgfKD9CO2TweQdKXtlgvVgT9L\negOwKnBrvbFxIvAs4PZOk41nJvC9evH7I+BESd8AtgHO6DLYGJa2/XsA2+fVv6fflPTojnONYyNg\nf2B74L9s3yDp/baP7TjXOE6n/ExaHjiK8p75KaXg+36XwcY0fCPm4ba/Wl/PkrRKF4Gm4B8/R+vn\n/R6S3g98h/Jzt1m295K0OXC8pK8BR3SdaQruk/TPlM/5FSQ9xfbPJK1P+1ss/y5pbdvXUa4t76zH\n/0b72YGeLAkGqHd5t6A8aTVlCcrPbc/uNNgIko6lXCiuRHmDzKZcAGxHuVvT9P6gugfoi5Qlngae\nTvlhtDFwqO0vdRhvUpKeDdxi+1cTjq8G7Gn7gG6SjUfSyyhPxg6x/bV68d78XUhJO1KW6Al4M/DG\nemojYKbt/+kq2zjqVoP9gN3qobUpf3e/AbzH9jVdZRtF0mnAh22fM+H4AcC+tpv+wVQvFPenfM6/\nE5jVk/f8Y4D3UZ4uzaA86dgduIZSiDTfHLBedO1BuRG8LOXm8Km2v91psBEk/Ziy1eO3Q8ceDHwV\n+Dfbrd+oQdJmwCGUInBP24/tONJYJG1FWfHzk7qs9qXA1cBJtu/rNt3kJH2Q8jnzAcpT7buAUyjX\nZi+3/YIO401K0peA42x/a8Lx1wOfst38jeF6Tb8n8ArgcbYf1XGkkeoDj09RPuf3oFyfbUIpYPew\nfWqH8SYlaRvgk8DJlJVLT6as7Hg6cMbQ0+Jm9aZg7au6n2MHyhv8JMp68R0pFzKftH1Hh/HGojIY\n+Dnc/0LmzHSPXPQkrUy5gP8nYHPba434LU2o7xnVpanLAk8EbrB9Q8fRpqTe3FgG+KN78GEpaQUA\n23fN49zg7mrz6n7WQ4En2H5413miXZI2Be6w/ZsJx5cDXmn7uG6STY1Kc8M3A1vafm3XeRaEpIfb\nvqXrHOOStBvlhup6wIMo0ydOBQ6qy+NjEZO0JrDpYFVN30h6OHBr6w/P4B/XM6/h/tfyX7N9eafB\nxpSCNZZIkr5lu/lOxwP1omxL25/uOsuCqPs9juw6x1TUZUuPpuzRuqI3H+plT9DmlCfDvco+rP45\nVrH9l66zjFJXQ5xT9wStQXla9mTgEsoT1qZvFNRiafjG6jMpY+QuAz7d+tOyxYmkzWz/ousco6hM\nCjiSstptL8pKrOUphd/rbJ/dYbwlSu1T8CTgkj581tfCaXvuP6by27Zb33IzGPn1PO6/2rMX2fsu\nBesiVt/c76VcPJ5u+/ihc0fafnNn4cYgaXvbZ9TXq1EaoGxB6fy6t+2busw3mbrMal5vcAGn2X7k\nNEeaMvVwhqyk/5rH4X2BDwLYPnR6E02NymzBj1L2q24G/JjSJOLvlKWH107y2zvV8+yrU5aIXU/p\n2PleYCtKl+8PtbyiQz3uLA0g6VPAwynbV/5CKTy+Rtkzf6Ptt3UYb1KSbqUsczuB0tG4Nxc1mndn\n7K8BL4J0xl6UJL2IslLs7q6zTJWkU22/pL5+MWULzixKo6gDbR/TYbxJSdoFeD9ltODgRt6jKZ12\nZ7a8f7vP2Scj6TO2/7PrHKOkYF3Eaue2KyhduHanjLfZyfbdarz9ONy/RbpKK/XfA5+j7FXZevCh\n2SJJ9zL/5g9b2l5hOvNMRW0c8kVKk6tfAG+wfWU91/T7RtLtlAuYSweHKM10DgewPbOjaGOR9Cvg\n2S7dvNcFDrP9kron+l22n9NxxPnqefbejkOS9Gvb/1xf/8L2ZkPnLrD9xO7SjaY61qYu378JeJTt\nv9Wl/ee7diRtkaRfA5+gLHVbh/KeOcG1U3PLJN3H3J2xt6zHaLnhmKRf2n5yfX2t7UcPnfuV7U27\nSzeapLsovQlOp9zs+Lbt1qdOAHNdl/0EeI3nNDZsfQzVFZQux7dNOP4Q4Dzb63eTbLSeZ3/o/E4B\nF/Zhu1lfugT32Xq2X1Zff1XSfsB36l2xvtmcstfAwGGSXtdxnlEupxR6cw2lltTsk6bqI8BzmTND\n9ixJO9v+SbexxrIRZf/hSsAM23dK2rX1QnXIUkP7sK4BHgtg+yxJH+su1lj6nL3P45DOUX87S0Np\nBkjdc/4z23+rX8+uRVXL7rR9BHCEpMdSnvodWS8iT7C9b7fxJpXO2N25nNJgaQdKg7fP1wcMJ3hC\n07rGLTe4me0yhqr1v6/z0+enZ33I/gdKQ7R56UWfiBSsi95ykpYa7AGy/UFJ11NmrzXdfrx6uKR3\nUO7CrDrhXOvjVWYw/3bdzQ5kr3o7Q9ali+4rJL2EMo7qsK4zTdEv6mqC71GW5n0PQGV2ctNddul3\ndqm/45D2pHSW/nX9em9Jg87SO3eWanw3SlrZ9u22nzs4KOlR3P/pX9NsXw0cDBws6fHAqzqONCnb\nJ0s6E9i/NgB6Z9eZpmBX5nTGfg7lCfe3KTfK9ugw19jqNoPPAJ+p7/VXUt47aw0/MW7QJpL+Wl8v\nL+lRLnOIH0T7n/MfpPycOpP7L6t9DqXBZMv6nP13wDPrZ+T99OABDpAlwYucpI9Q9kmcNeH49sAn\nWl5CACBpBve/e/Qp2zfXD/eDbe/STbKpk/Rv1P23ts8c9eu7JOnnwAtcZ8jWY2tTZ8ja7sPNjkGX\n4xmUZTTP6DjOWFS6i+5BWZZ6AXC07XtVOvA+wvZVXeabTM+z93oc0oB61ll6MvVGx8qN9yo41PY7\nus7xQCmdsafVZFtrJK3T8mfl/NTPno1s/7jrLJOpNyafC6xZD11PuU7+U3epxtPX7JL2BH7oCWMe\n67m9bH+8g1hTkoK1Q5J2t3101zlGqU0U1gJ+avv2oePP84Q5YC2RdJ7tLerrPYC3UGbzPQf4pu0D\nu8w3GfV8hmzEgtDc45A2pSwPbnockqRNbF/YdY6FRWUe7vrA7ybu14pFR6Vb8yruyUiVeuN9LeA7\nwwVeH65tJG1r+3td54j+Ummquj7wWzfcFHBx0frSgcVd83v6JO1FmUu2J3BJXeY58KFuUo1teBnh\nGyjNaGZSCtaduok0HttnzetOmO3bWi9WJa0m6SBJl0u6VdKf6uuDasHdtL7nnx+Vpkatu48yigfK\nk9b7gD508Txf0m8k7S9po67DTJWkI4deP50yjuejwMWSnt9ZsDFJ2l7SpyV9o/7z6VpM9Yrt+wbF\nqqT/7jrPZCQdSOn+vjGlL8fwNpu3dpNqfItrsSrpoq4zTEbShpK+Jek0SetJ+ryk2ySdVx+ONEvS\nl1TmriLpuZTGgAcBF0h6ZafhxiDpwZLWm8fxZpt0Dcse1kVsxIfHI6YtyIL7T2Az27dLWoeyn3Id\n24d3G2ssS9flGwKWHjSjsX2HpKaHPNfCaB/gJZT3iYGbmTPUvOWnHicC3wG2AW6y7bqEfNd6rtlO\ntVVv82vOmIy5TlHm9DWr3gz7H+A+SW+kXAzfDjxe0ptsf73TgJO7kLJX9TXA1+v+1eOBL/dkaeG/\nDr0+AHiJ7V+qzHf8CmUrQpNUmomtD3yBsjwPyhi5vST9u+3W+xXMzx7AB7oOMYkXAk+qqyFmACfU\n98ve3cYaz/BT4Lrd5ljKKLBLKXNk52rW2ApJL5/H4cFYpEdNc5yp+gzwYUqvgu8B76FM0Hg+cARl\nFFirnjjU1HAG8AzbV9U+C9+lXB80qRbUhwM319VLu9k+r54+lsavDyBLghc5STdRBiTPa7nAj22v\nOY/jzZB0ie0nDH29MmXm3aXAti23rpd0FXP23xp4Wm1MsArwg8azn0kpmo5l7qJpO7c9nuQK2xtM\n9Vwr+pxf/R7l9CvKZ+WKlP23T7F9uUrn11M8NCqmNRP3w0l6KqVb7Q7ANba36izcGHT/MRkT/yyt\nj9H6zbx6QUgS8Bvbj+sg1lg0p3HOvKxgu9mHChqaPVy/XoZSjDwY2HD4uqFFE97zX6HM1jyK0qxu\nT9vNFk6S/k65ITaxI7CAV7Tc42LC9/3/hv9+9uCz5hJgK9t/lvRDymjHewfnWn7Pq3Ta375eA29B\nucG3r0s3+6a/7wPNfhguRk6jNK04f+IJSX1onX6zpE0Hy1Prk9YXUD7Ym15GYHud+Zy6lzJHtmXr\n2D54+IDt3wMHSdq9o0zjulrSu4FjB81aJD2SUmxf02my8fQ5f59HOXnQZEzSNbYvrwevVtnb1xu2\nzwXOlfRfQB+ajT1+aDXQupIeYvtWSUvTfofmuyVtMfS0YGAL4K4uAk3BrZSGdDdOPNGDv6+/k7S1\n6wgY27OB3SUdALxs8t/anH+2vUN9/VVJ7+80zWgXAYfYnmsFn6RmC+1q6aHXh0441/pnzUzge5KO\nAH4EnCjpG5TVWGd0GWwMS9drSGyfpzJy7ZuSWu6GfT8pWBcx2/MtLmzvOJ1ZFtAuwN+HD9QlQLtS\n7qb2ju07gSu7zjFCn4umV1GWM58jabDs/Sbg65SxAa3rc/4Z9HeUE5ozAmy3oWPL0P6FzCHzOlj/\nLLOmN8oCmbh37I7674cATe+lBF4HfKqunBmMmlgb+Es917IvAo8B5ipYgROmOctU7cA85k/afp+k\nT3eQZ6rWlvRxylPJh0la1vbgWqf1a+O3U97f89L6zYIjJa1i+6+2h/fOPw44u8NcI9k+UdL5lOX6\n61N+Lj2VMrv3252GG+0vktaz/VsoD0Bq0fpVoNknw8OyJDiiQXXv7T6U5UkTi6aDetBCfdBZ+lzb\nfx06vr3t1u9EzkXSF203P09TZQ7fqymddc+WtBOwFWUJ/2dt39NpwEnUZUoX2b5rwvF1gKfbPq6L\nXNEPdcvEWvXL6wdPE2L6SHrzcBHSMkmvY86+TwPfsP2n+j56q+19u8wXsTBJ2hS4w/ZvJhxfDnhl\nH36+pmCN6BlJu9k+pusc86PSLfItwGWUjfxvs31qPdf8Xom6xGdwITOwHaWpgm2/qJNgY5B0PGXJ\n1YrAbZTGFqcAzwKwvWt36aZO0uq2/9h1jlFUxhu8l/Jk73Tbxw+dO9L2mzsLN4bhG0m14dtHqTOr\ngb3d8BzWyUh6/GBpecsmPN0bHHuY7T90lWmUutx9on2BDwLYnrjcMxYSSYcBJ9v+YddZFgZJ37W9\nXdc5RpG0OmVixvWUbXH7MueG8Iec0TaLVArWiJ6RdK3tZvcdSLqY0uBn0Fn6ZOCLtg/vScF6PuUH\n0OcoTS1EWZ73aoDBnq0WSbrI9sZ1Ge0NwJq2Z9cGNBfa3rjjiPMl6WDKvqxbJG1O6bh4H2XZ1a62\nZ3WZbzKSTgGuAM6ldLy8B9jJ9t19ec8PNUI5Cvg95f3/UkpjkZdM9vtb1YPPym0py4JXAH5B2X9+\nZT3X9PtG0u2UHh2XDg4Bb6N0IsVlhFyzJhQfR1NuOPWi+JB0C3A1sAbwZcqS1Ln6pLSo7pWfeEN4\nA8rnp2032xtFZTTchcCqlG0UF1K6qD8b2MT2izuMNylJt1KuxU4AvuseFn+tr9OPWCKp3+OQZPt2\nAJeW71sDJ6t0e9Xkv7UJm1MuvPYD3mX7fEl3t1yoDlFdFrwi5SJ4VeCPwPK0/3n/fNvvqa8PAV5l\n+2eSNqD8kG22SzCwnu3B3rGvStqPMpuy2QuYSWwObFovaA6rSyebJekTk5xufW7yR4DnUoqklwNn\nSdrZ9k+6jTWWjShNc1YCZti+U9KurReqQ46jFBybA6+lrCY4mFJ8fB5o+e/udbY3r5+NrwaOqzcp\nj6cUr82O5KH0D/krZXzWnZRrgh8AL6D964M1bT+v3gC+3vbW9fj3axfelt0M/ArYH/iiSmfsE2z/\ntNtY42v9AiZiSbUGk4xDmuYsU9XbztIAtU39oZJOpFyw30x/PiuPoizFXgZ4H6WL4ZXAlsD/dhls\nDEsPLY1c3vbPAGxfUffZtGy5oYZR2P6gpOuBcyjLslv3cEnvoFwwrjrhXOsXka8D3gn8jfs3ARJl\nLm7LlrN9SX19kqTLgFMkvWey39QC29cAr1CZn3x2XabaJxOLj23q8T4UH0D5bKTM6v2ApCcCOwLf\nAtbrNNgkbL9I0ssoTTsPsf01SbNtX911tjGo9hdZGVhJ0rq2r1SZw9p6Y8A7bR8BHFEfHrya0gDr\nIZTCtfk92325CItY0vR5HNJi0Vna9nXADrXY/nPXecZh+7BaaGP7eklfoOxf/cw8xn605kjgdEkH\nAmdI+hhl/+12lDvDLfsmZeD9WYMDtj8v6UZgsieArfgcsEp9fQzwMOCW2pm89e/9z4GLbf9o4glJ\nM6Y/zpTcI+mRrmNtbF+iMpbkNBouOobZPlXS2ZQO5a2P4hnW5+JjLrYvoMyv3qfrLKO4zP48E9hf\nZUxf6zckBw6k3BAW8B/AZ8v9DjaijLzphXpz4GDgYEmPp0xGaF72sEZERBPqnr43UUYGLEMZU3Iq\ncPTEpjStkfRU4L66jPkJlBUSl9k+veNoI0nakpL1z5JWpFz0Phm4BDjQ9m2dBpxELTrudhlX1iuS\nng3cMliNMnR8NWBP2wd0k2zxJ2lHyn5bAW8G3lhPbQTMtP0/XWUbRXUsTNc5FobavXZL230YhTQY\ns6Z6E35Z4InADbZv6DjapCQdZnvvrnM8EClYIyKiaT3ojD2DUqAuC5xJmc33Pcp+uDNbLzwkXUpp\nGjJb0mcpc1hPojyd32Rof24sYumMPX36WnxAeTxM2X+7NnAvcEUfOmJD77M/BviL7dtqU8mnUG72\nXdxpsCVACtaIiGhaD7q9XgxsSlnadhOwdn1auQJwXsvdmQEkXWZ7w/r6l7afPHTuAttP7C7d5FTm\nZv43paP0fwNvpTQwuowyUqvZeayTdMZeDtglnbGnl3oyR7Y2MvwoZXTZZpS+FqtRtuLsbLvZpdk9\nz74P8AbKe/0jlL3zP6L0iDja9kc7jDcpSYcCp/R5FFL2sEZEROdGdMZeY9qCLJjZtmcDsyX91vaf\nAWzfJem+jrON4xJJu9s+GrhA0lOGOjTf03W4ET5P2UO8MjAL+BLwfEqX10/TdrfXdMbuiOYzR1bS\n8tD8HNmPAc+uNzrWBQ6z/bS6xPwo4DndxptUn7PvQlkyvhJwFbBu/XOsBJxHKcRbtTPwDEm9G4U0\nkII1IiJa0OfO2H+TtGLdRzn8dHI1ypK31r0e+Jik9wG3AD+WdB2lic7rO0022hq2PwEg6U22D6rH\nPyGp9ezpjN2dmcw9R3Yp5jQfa9lStm+pr68BHgtg+6zarK5lfc4+u96EvIcykudPALbvkNT6ctU+\nj0ICUrBGREQb+twZe2vbdwMMLuCrZYBdu4k0vtpUade6L3FdasOrQffaxi019PqLk5xrUTpjd6fP\nc2R/Iekoyj75F9V/U5/0tf6e73P28yWdQHnPfBc4VtIZlL+vl076OxvRx1FIA9nDGhEREb0kaX/g\nwxO7pkpan9Lh+BXdJBtP7Yz9RmADetYZe5ikfwO2AC6yfWbXecalMkf23cBhlPfRuh1HGqk+fd8D\n2JAyyuZo2/fWPfOPsH1Vl/km0/PsywI7UPaZn0Rprvca4Grgk7bv6DDepPq6r3xYCtaIiIhY7Azt\ny22WpA2BtYBzh4tuSdvbPqO7ZJOTdJ7tLerrPYC3AF+l7EH8pu0Du8w3FZJWpsyR3cL2MzqOE7HQ\nLQ6jkFp//B4RERGxIJpe3ilpL8rT1D2Bi+vTvoHWC75lh16/gdJIZyalYN2pm0gLxvbttt/Zl2JV\n0mqSDpJ0uaRbJf2pvj6o7pvvJUnf6jrDZCQ9StKnJH1S0uqSZki6SNKJtVt5y5pfOTBK9rBGRERE\nL43oLv2IaQuyYP4T2Mz27XWm40mS1rF9eLexxrK0pIdSmhUtPWikUxvQzO422mi1sNsHeAnlfWLg\nZsoNhIPqvu5WnQh8B9gGuMm2a8G0az3XbKddSU+e3ymg9SWrn6e/HcnPl/Q75nQI7sWe22FZEhwR\nERG9JOkmJukubXvNaY40NkmX2H7C0NcrAydTGrhsa3vTzsKNIOkqSpFH/ffTbP9e0irAD1rODiDp\nTErRdyxzF33b2W656LvC9gZTPdcCSfcC35/P6S1trzCdeaZieB+opGtsP2boXOvzqs+njLZ5DfBK\nSpfj44Evt7xveFiesEZERERf9bm79M2SNrX9KyhLUyW9gDKPcpNuo03O9jrzOXUv8NJpjLKg1rF9\n8PAB278HDpK0e0eZxnW1pHcDx9q+CUDSIynF9jWdJhvtcuAN8xqjIunaDvJMRZ87kmP7YmBfyrzh\np1LG2/ywFt9bdZtutOa/wRERERHzYnt32z+Yz7kdpzvPFO0C3G90UO0MvCvQi/2UE9m+0/aVXecY\nw9WS3i3pH8vGJT1S0ntov+h7FfAw4Jy6h/VWyhLV1SlPz1o2g/nXHntNY44F8fW6CgLb+w0OSnoc\n8OvOUi0A2+fa3ht4DKWIbV6WBEdERETEEqPuv92HMgt0ULTeBHydsof1T11lG0dfu0vPi6Qv2N6l\n6xyjSHoQ5ank9bbPlrQTsBVlCf9nbd/TacBJSNrJ9pe6zvFApGCNiIiIiAAk7Wb7mK5zzE/tLv0W\n4DJKo6K32T61nmt63qakb1D2PGvo8HbAdwHbflEnwcYg6XhgaWBF4DZK86VTgGcB2N61u3RT+80R\nAQAAAhBJREFUJ2l123/sOse4soc1IiIiIqL4ANBswcrc3aVP7lF36bUpTyQ/B9xHKVw3Bw7pMtSY\nNra9saRlgBuANW3PlnQccGHH2SYl6SDgo7ZvkbQ5pZv0fZKWA3axPavTgGNIwRoRERERS4yej0OS\n7dsBbF8laWtK0fpY7v/kskWbA28D9gPeZft8SXfbbr1BGoDqsuAVgRWAVYE/AsvTfj31Atv71NeH\nAK+y/TNJGwAnAJt1F208rX+DIyIiIiIWpjWYZBzSNGeZqj53l74XOFTSicBhkm6mP7XIUZRl2MsA\n7wNOlHQlsCXwv10GG8PSkpatTd2Wt/0zANtX1Keszcse1oiIiIhYYkg6GjhmXh2mJZ3QcodpSY8G\n/m77xgnHRZmH+8Nukk1dLbS3st2PTrXSWgC2r5f0EMr+1attn9dtsslJeiulwdiBlA7kD6Hsv90O\n+CfbO3cYbywpWCMiIiIiIhZTkrYF3gSsT3lKfB1wKnB0ffLatBSsERERERERS5jWu2IPpGCNiIiI\niIhYwki61vaju84xSl82OkdERERERMQUjOiKvca0BXkAUrBGREREREQsnvrcFRtIwRoREREREbG4\nOg1Y2fb5E09I6sMM3OxhjYiIiIiIiDYt1XWAiIiIiIiIiHlJwRoRERERERFNSsEaERERERERTUrB\nGhEREREREU1KwRoRERERERFN+v92CdIpHwDSAwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f24afc29f10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The probability that the distributions for payload/histograms/GECKO_THREAD_ACTIVITY_MS (Users with no extensions) are differing by chance is 0.00.\n"
     ]
    },
    {
     "data": {
      "image/png": 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ffHKxxzl48GDNmTNHCxcu1OLFi/W///u/kqSf/vSn6tWrl7788kvl5+fruuuu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\nzjvvvKSve0m/g8TnPXv21Ek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sX00ZnTsU2LC1qAZ3A2WU9NXASykjWrc32y9r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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f24afff6890>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The probability that the distributions for payload/histograms/GECKO_THREAD_ACTIVITY_MS (Users with no extensions) are differing by chance is 0.00.\n"
     ]
    },
    {
     "data": {
      "image/png": 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ZhW7VF6igair+cwooEw6GvHagr/l9QNL/uPtpkn4lKXHmb5Z2XTfVXVI1C9fYAeVJo7Tb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\nv1Lz5s113nnnqVm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rzWxm9Hdb6VQVAAAAAFCelKU8eUgxFc2R9BdJP5K0VNL7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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f24b0cfa550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The probability that the distributions for payload/histograms/GECKO_THREAD_ACTIVITY_MS (Users with whitelisted extensions) are differing by chance is 0.00.\n"
     ]
    },
    {
     "data": {
      "image/png": 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qBkiSJEn65AzeTaNPnz7r9XDyT6PD9Omnn17r+9gQOCxfkiRJklTR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\nC9g+AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f24b0c19750>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The probability that the distributions for payload/histograms/GECKO_THREAD_ACTIVITY_MS (Users with whitelisted extensions) are differing by chance is 0.00.\n"
     ]
    },
    {
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9tW4Mv5IkSVIT9vzzz/Pee+/xk5/8hBYtWrDtttty+umnc/vtt9e77AcffEC7\ndu2qvNa2bVuWLl0KZF2m586dy/Tp02nevPka9+tWqAh4bdu2rVLOMcccwz777EOrVq0YNWoUY8aM\nqZx+9dVXs9dee1W2DNfm3Xff5ZxzzuGXv/xllXq3b9++8nnFNlTUu1DLli1ZunQpr7/+OqtWraJv\n375stdVWAAwcOJCdd94ZgF122YUhQ4bw1FNPVVn+pz/9KS1btuTAAw9kiy22YOjQoXTu3Jnu3buz\n77778sILL1TO26VLF8477zyaN2/OcccdR9++fXnwwQfXqNNvfvMbLrzwQvr27UuzZs248MILefHF\nF5k5c2ad9dW6MfxKkiRJTdiMGTOYM2cOHTp0qPwbPXp0le7Ftdliiy1YsmRJldcWL15cGWJ/8IMf\n0Lt3bw466CC23357Lr300hrLKSsrA6qGz9/97nfcfPPNTJ06lRUrVvD73/+eI444grlz5zJnzhyu\nueYafvazn9VZv/nz53PQQQdx9tlnc/zxx9da78WLFwNVw3eF/fffn3POOYezzz6brl27cuaZZ1bW\n87nnnmP//fenS5culJWVMWbMGBYsWFBl+YqWaoDWrVuv8XzZsmWVz3v06FFl2c9//vPMnTt3jTrN\nmDGD8847r/L9qmjZnTNnTp311box/EqSJElNWM+ePdl2221ZuHBh5d+SJUtqbHGsrk+fPnz66ae8\n/fbbla+99NJLfPGLXwSykHn55Zfzz3/+kwceeIBf/vKXNd7H+rnPfY7tt9+eN998s0o5Rx55ZGWX\n6oMPPphu3brx9NNP8/zzzzN37lx22mknunXrxvnnn8/kyZPp3r175b2/Cxcu5KCDDmLw4MFceOGF\nVda388478+KLL1ZZV9euXSu7RVd37rnnMmXKFKZOncq0adP43//9XwC++c1vMnjwYN59910WLVrE\nt771rTVGw14bs2fPrvJ8xowZdO/efY35evbsyQ033FDlPVu2bBl77bVXnfXVujH8SpIkSU3Ynnvu\nSdu2bbnsssv46KOPWLlyJa+++ipTpkypnOfjjz/mk08+AWD58uUsX74cyELrMcccw8UXX8yHH37I\n//3f//GnP/2Jk046CcgGhHr77bdJKdGuXTuaN29O8+bNa6zHYYcdVqXL8B577MFDDz3EO++8Q0qJ\nxx9/nGnTprHLLrtw6KGHMmPGDF566SVeeuklLrnkEgYMGMCLL75IRLBkyRIOPvhg9tlnH37xi1+s\nsa6TTz7Tg/2oAAAgAElEQVSZG2+8kddff52FCxcyatQohg0bVmO9pkyZwnPPPceKFSto06YNrVq1\nqtyGDz74gA4dOtCyZUsmT57MH/7wh7X+OaLCgbr+85//cPXVV7NixQruuusu3njjDQ477LA1lvnW\nt77FL37xC6ZOnQpQeW9vffXVujH8SpIkSU1Ys2bNePDBB3nxxRfZbrvt2HLLLTnjjDMquwVPnz6d\nNm3a8MUvfpGIoHXr1uy4446Vy1933XV89NFHdOnShRNPPJHf/OY3ldPfeustDjzwQNq2bctXvvIV\nzj777CojOhc644wzuO222yqfn3zyyQwZMoTy8nLat2/P+eefzw033ECfPn1o2bIlXbp0qfxr3759\n5WsA9913H1OmTOHmm2+mbdu2tG3blnbt2vHuu+8CWSvyD3/4Q/bff3969erF9ttvX2Wk5kJLlizh\njDPOoGPHjvTq1YvOnTvzgx/8oHLbL774Ytq1a8eoUaOqdK0GigrChfN8+ctf5q233mLLLbfkpz/9\nKffcc0+NrdGDBw/mggsuYMiQIbRv355ddtmFRx99tN76at1EbUOVN/iKItLarOvUU0fQq9eIBln3\n9OkjGDu2YcqSJEnSpici1viJn/N/dD6LPl5zJN+GUtaqjKv+56r1Vv76cMIJJ3DccccxaNCgjV2V\nDW7s2LHceOONTJo0aWNXZb2r6fNQ8PraNZ1vQC02dgUkSZKkpqipBdMNobDlV2ps7PYsSZIkSeso\nItb6fmFtWIZfSZIkSVpHp5xyChMnTtzY1VAdDL+SJEmSpJJn+JUkSZIklTzDryRJkiSp5Bl+JUmS\nJEklz/ArSZIkSSp5hl9JkiRJTcqjjz7K0UcfvbGr0SiNHTuWfffdd53KePnll9l7770bqEaNR4uN\nXQFJkiSpKTr//BEsWrT+yi8rg6uuGrH+VrAenHHGGUycOJG33nqLm266iVNOOaXK9CuvvJLLLruM\nDz/8kK9//etcf/31tGzZcq3X8+Mf/5jrrruu8vmLL77IueeeyyuvvELbtm0588wz+clPflI5ff78\n+Zx33nk8/PDDNGvWjMMOO4xx48YBcOqppzJ+/PjKekQEixcvrvzN3pUrVzJ8+HBuvvlmli5dSu/e\nvXnyySdp3779Wte7qejXrx9lZWU8+OCDHHHEERu7Og3G8CtJkiR9BosWQa9eI9Zb+dOnr7+y15dd\nd92VIUOGcMEFF1SGxwqPPvool156KU8++STdunXj6KOPZvjw4YwePXqt1vH888+zZMkS9txzz8rX\nvvnNb3LssccyceJE3nnnHfbZZx/69+/PkUceCcAxxxzDl7/8ZWbNmkWbNm145ZVXKpeNCC644AIu\nueSSGtc3fPhwnn32WZ599lm22WYbpk6dSqtWrdaqzk3RCSecwJgxY0oq/NrtWZIkSWrievXqxRVX\nXEH//v0pKytjyJAhLF++vHL6b3/7W77whS/QqVMnBg0axNy5cyunNWvWjDFjxtCnTx86dOjAOeec\nU+t6Ukr8z//8D71796Zz584cf/zxLFy4sHL6WWedxQEHHFBjOLzllls4/fTT2XHHHSkrK+Piiy9m\n7NixldMvvfRStt56a9q1a8cOO+zAE088UWMd/vznP1NeXl7ltRkzZnDCCScQEWy33Xbss88+TJ06\nFYDHHnuMd999l8suu4y2bdvSvHlzdt111zW2qyYLFy7kV7/6Fb/97W/ZZpttANhpp53YfPPNa5z/\n4YcfZuedd6Zdu3ZsvfXWXHHFFZXlHHHEEXTp0oWOHTty5JFHMnv27MrlysvL+elPf8ree+9N27Zt\nOeqoo1iwYAEnnHAC7du3Z88992TGjBmV8zdr1oxrrrmG7bffni233JIf/vCHtW7DG2+8wYEHHkin\nTp3YYYcduOuuu+qtL8DAgQP561//yooVK2ostyky/EqSJElNXERw11138eijj/LOO+/w8ssvVwbL\nJ554gosuuoi77rqLuXPn8vnPf54hQ4ZUWf6hhx5iypQpvPzyy9x55508+uijNa7n6quv5oEHHmDi\nxInMnTuXDh06cPbZZxdVx6lTp9K/f//K5/369WPevHksXLiQN998k2uvvZYpU6awZMkSHnvsMXr1\n6lVjOa+++ip9+/at8tr555/PLbfcwqeffsobb7zBM888w9e+9jUAnn32Wfr27cspp5xC586d2XPP\nPZk4cWKV5a+77jo6derE7rvvzr333lv5+iuvvEKLFi2466676NatG3379q3S3bq60047jRtuuIEl\nS5bw2muvccABBwBZuD7ttNOYOXMmM2fOpHXr1mtcZLjjjjsYN24cs2fP5p///Cdf+cpXOO2003j/\n/ffZcccdGTlyZJX5//jHP/L3v/+df/zjH9x///3cdNNNa9Rn2bJlHHjggZx44onMnz+f22+/nbPO\nOos33nijzvoC9OjRg80224w333yz1u1tagy/kiRJUgn4zne+w1ZbbUWHDh048sgjefHFFwG47bbb\nOO2009h1111p2bIlo0eP5plnnmHmzJmVy/7oRz+iXbt2bLPNNuy///6Vy1Y3ZswYfvazn9G9e3c2\n22wzhg8fzt13382qVavqrd8HH3xQ5T7Zdu3aAbB06VKaN2/O8uXLee2111ixYgU9e/Zku+22q7Gc\nRYsW0bZt2yqvHX744dx99920bt2anXbaidNPP53ddtsNgHfffZfHHnuMAw44gHnz5vG9732PQYMG\nsWDBgsr99vbbbzN//nxGjRrFqaeeytNPP1257OLFi3nrrbeYPn06d999NyNGjOAvf/lLjXVr2bIl\nr732GkuWLKF9+/YMGDAAgI4dO3L00UfTqlUrtthiCy666CKeeuqpyuUigmHDhrHtttvSrl07Dj30\nUHr37s0BBxxA8+bN+cY3vsELL7xQZV0XXHABZWVlbLPNNpx//vmMHz9+jfo8+OCDbLvttpxyyik0\na9aMXXfdlWOOOYY777yzzvpWaNu2LYvW543tG5jhV5IkSSoBW221VeXj1q1bs2zZMoDK1t4Kn/vc\n5+jUqVOVbreFy7Zp04YPPvigxnVMnz6do48+mg4dOtChQwd22mknWrRowbx58+qt3xZbbMGSJUsq\nny9evBjIAlbv3r256qqrGDFiBF27dmXo0KFVumYX6tChQ5Vy3n//fQ455BCGDx/O8uXLmTVrFo88\n8gjXX3995b7YdtttGTZsGM2bN+f4449nm2224W9/+xsAAwYMoEOHDjRr1oxDDz2UE044obL1t3Xr\n1gBcfPHFbL755uyyyy4MGTKEhx9+uMa63XPPPTz88MP06tWL8vJynn32WQA+/PBDzjzzTHr16kX7\n9u0ZOHAgixcvrtJVuWvXrpWPW7VqRZcuXao8r/6eVHTDBujZsydz5sxZoz4zZszgueeeq3y/OnTo\nwB/+8IfK96u2+lZYunQpZWVlNW5rU2T4lSRJkkpY9+7dmT59euXzZcuWsWDBAnr06LHWZfXs2ZNH\nHnmEhQsXVv59+OGHdOvWrd5ld9555yotyi+99BJdu3alQ4cOAAwdOpRJkyYxY8aMykGoatKvXz+m\nTZtW+fxf//oXLVq04MQTT6RZs2b06NGD448/vjKgFna1rhARawzIVdu6alLbsrvvvjt//OMfmT9/\nPoMHD+a4444D4IorrmDatGlMnjyZxYsX89RTT5FSqvU+3WLqVthyP3PmzBrfz549ezJw4MAq79fS\npUu59tpr66wvwOzZs/nkk0/W6GLelBl+JUmSpBJUEayGDh3KzTffzEsvvcTy5cu56KKL2GuvvejZ\ns2edy9XkW9/6FhdddFFl8Jo/fz4PPPBA5fQVK1bw8ccfs2rVKj755BM+/vjjyvJOPvlkbrzxRl5/\n/XUWLlzIqFGjGDZsGADTpk3jiSeeYPny5Wy++ea0atWK5s2b11iHww47rEqX4T59+pBSYvz48axa\ntYp///vf3HHHHZWhd/DgwSxcuJBbb72VlStXcvfddzN79uzK37G9++67+eCDD1i1ahWPPfYYt912\nG0cddRQA22+/Pfvuuy8///nP+eSTT3j99de54447ahwBecWKFdx2220sXryY5s2bVw6uBVmX79at\nW9O+fXvef//9Ne7frb7f63oPKlx++eUsWrSIWbNmcfXVV3P88cevMc/hhx/OtGnTGDduHCtWrGDF\nihU8//zzvPHGG3XWF+Cpp57iq1/9Kptttlm9dWkqDL+SJElSiSls2fzqV7/KqFGjOPbYY+nevTvv\nvPMOt99+e5V5a1u2uvPOO4+jjjqKgw46iHbt2vFf//VfTJ48uXL6gQceSJs2bXj22Wc544wzaNOm\nDZMmTQLg4IMP5oc//CH7778/vXr1Yvvtt68MgcuXL+fCCy9kyy23pFu3brz33nu1/gTSgAEDaN++\nfeV627Vrx7333suVV15Jx44dGTBgAP369av8nd+OHTvywAMPcPnll1NWVsZll13G/fffT8eOHYFs\nEK+tt96aDh06cMEFF/C73/2O/fbbr3J948ePZ8aMGXTq1IkjjjiCn/3sZ+y///411m3cuHFsu+22\ntG/fnhtuuIHbbrsNyAbk+uijj+jcuTNf+cpXOPTQQ2vc73W9B9WfDxo0iN12240BAwZwxBFHcNpp\np62xbNu2bXnssce4/fbb6dGjB926dePCCy/kk08+qbO+kN0r/q1vfavG7WyqopirCg2yooi0Nus6\n9dQRDfa7adOnj2Ds2IYpS5IkSZueiFijNe7880ewPscCKiuDq64asf5W0IQ9/vjjXHfdddx3330b\nuyobRbNmzXj77bdrHRRsXb388st8+9vfrrwvurqaPg8Fr9ffZ3sjabGxKyBJkiQ1RQbTjefAAw/k\nwAMP3NjVKFn9+vWrNfg2ZXZ7liRJkqQmpJgBsbQmW34lSZIkqQlZuXLlxq5Ck2TLryRJkiSp5Bl+\nJUmSJEklz/ArSZIkSSp59YbfiLgpIuZFxCv1zLdHRHwaEcc0XPUkSZIkSU1RY8uSxQx4dTNwDXBr\nbTNERHPgUuARwKHHJEmSVHIcYVdaa40qS9YbflNKkyKiVz2znQvcDezRAHWSJEmSGpWU0saugtTk\nNLYsuc73/EZED2AQcH3+kkcGSZIkSVKdNnSWbIgBr64CfpSyy2GB3Z4lSZIkSfXboFmymHt+67Mb\ncHt+D0Rn4NCIWJFSeqD6jCNGjKh8XF5eTnl5eQOsXpIkSZK0oU2YMIEJEyasSxFFZ8mGsM7hN6W0\nXcXjiLgZ+FNtlS0Mv5IkSZKkpqt6g+bIkSPXavm1yZINod7wGxHjgYFA54iYBQwHNgNIKY1ZXxWT\nJEmSJDVdjS1LFjPa89BiC0spDVu36kiSJEmSSkFjy5INMeCVJEmSJEmNmuFXkiRJklTyDL+SJEmS\npJJn+JUkSZIklTzDryRJkiSp5Bl+JUmSJEklz/ArSZIkSSp5hl9JkiRJUskz/EqSJEmSSp7hV5Ik\nSZJU8gy/kiRJkqSSZ/iVJEmSJJU8w68kSZIkqeQZfiVJkiRJJc/wK0mSJEkqeYZfSZIkSVLJM/xK\nkiRJkkqe4VeSJEmSVPIMv5IkSZKkkmf4lSRJkiSVPMOvJEmSJKnkGX4lSZIkSSXP8CtJkiRJKnmG\nX0mSJElSyTP8SpIkSZJKnuFXkiRJklTyDL+SJEmSpJJn+JUkSZIklTzDryRJkiSp5Bl+JUmSJEkl\nz/ArSZIkSSp5hl9JkiRJUskz/EqSJEmSSp7hV5IkSZJU8gy/kiRJkqSSZ/iVJEmSJJU8w68kSZIk\nqeQZfiVJkiRJJc/wK0mSJEkqefWG34i4KSLmRcQrtUw/ISJeioiXI+JvEdGv4aspSZIkSWpKGluW\nLKbl92bgkDqm/wvYL6XUDxgF3NAQFZMkSZIkNWmNKkvWG35TSpOAhXVMfyaltDh/+hywdQPVTZIk\nSZLURDW2LNnQ9/yeBjzcwGVKkiRJkkrbes+SLRqqoIjYH/j/gL0bqkxJkiRJUmnbUFmyQcJvfmPy\nb4FDUkq1NmuPGDGi8nF5eTnl5eUNsXpJkiRJ0gY2YcIEJkyYsE5lFJslG8I6h9+I6AncC5yYUnq7\nrnkLw68kSZIkqemq3qA5cuTItVp+bbJkQ6g3/EbEeGAg0DkiZgHDgc0AUkpjgIuBDsD1EQGwIqW0\n53qrsSRJkiSp0WtsWbLe8JtSGlrP9NOB0xusRpIkSZKkJq+xZcmGHu1ZkiRJkqRGx/ArSZIkSSp5\nhl9JkiRJUskz/EqSJEmSSp7hV5IkSZJU8gy/kiRJkqSSZ/iVJEmSJJU8w68kSZIkqeQZfiVJkiRJ\nJc/wK0mSJEkqeYZfSZIkSVLJM/xKkiRJkkqe4VeSJEmSVPIMv5IkSZKkkmf4lSRJkiSVPMOvJEmS\nJKnkGX4lSZIkSSXP8CtJkiRJKnmGX0mSJElSyTP8SpIkSZJKnuFXkiRJklTyDL+SJEmSpJJn+JUk\nSZIklTzDryRJkiSp5Bl+JUmSJEklz/ArSZIkSSp5hl9JkiRJUskz/EqSJEmSSp7hV5IkSZJU8gy/\nkiRJkqSSZ/iVJEmSJJU8w68kSZIkqeQZfiVJkiRJJc/wK0mSJEkqeYZfSZIkSVLJM/xKkiRJkkqe\n4VeSJEmSVPIMv5IkSZKkkmf4lSRJkiSVPMOvJEmSJKnk1Rt+I+KmiJgXEa/UMc/VEfFWRLwUEQMa\ntoqSJEmSpKamsWXJYlp+bwYOqW1iRBwG9E4pfQE4A7i+geomSZIkSWq6GlWWrDf8ppQmAQvrmOUo\n4JZ83ueAsojo2jDVkyRJkiQ1RY0tSzbEPb89gFkFz98Ftm6AciVJkiRJpWuDZsmGGvAqqj1PDVSu\nJEmSJKl0bbAs2aIBypgNbFPwfOv8tTWMGDGi8nF5eTnl5eUNsHpJkiRJ0oY2YcIEJkyYsC5FFJ0l\nG0JDhN8HgHOA2yNiL2BRSmleTTMWhl9JkiRJUtNVvUFz5MiRa1tE0VmyIdQbfiNiPDAQ6BwRs4Dh\nwGYAKaUxKaWHI+KwiHgbWAYMW1+VlSRJkiQ1DY0tS9YbflNKQ4uY55yGqY4kSZIkqRQ0tizZUANe\nSZIkSZLUaBl+JUmSJEklz/ArSZIkSSp5hl9JkiRJUskz/EqSJEmSSp7hV5IkSZJU8gy/kiRJkqSS\nZ/iVJEmSJJU8w68kSZIkqeQZfiVJkiRJJc/wK0mSJEkqeS02dgUkSZIkSSpWRHQBvgO0Aa5PKb1V\nzHK2/EqSJEmSmpIrgMeA+4A/FLuQ4VeSJEmS1GhFxKMRsV/BSy2Bd/K/zYstx/ArSZIkSWrMjgeO\niojbI2J74CfAaOBq4KxiC/GeX0mSJElSo5VSWgR8Pw++PwPmAOemlBauTTmGX0mSJElSoxURvYFv\nAZ8A3we2B26PiIeAa1NKK4spx27PkiRJkqTGbDzZ4FYTgFtTShOBQ4DFwOPFFmLLryRJkiSpMasY\n4OpzZD9vREopAbdExF3FFmL4lSRJkiQ1ZmcB1wAryLo/V0opfVhsIYZfSZIkSVKjlVL6G/C3dS3H\ne34lSZIkSSXP8CtJkiRJKnmGX0mSJElSoxcRu6zL8oZfSZIkSVJTcH1EPB8RZ0VE+7Vd2PArSZIk\nSWr0Ukr7ACcAPYF/RMT4iDio2OUNv5IkSZKkJiGlNA34CXABMBD4VUS8GRHH1res4VeSJEmS1OhF\nRP+IuBJ4HTgAOCKltCOwP3Blfcv7O7+SJEmSpKbgauBG4McppQ8rXkwpzYmIn9S3sOFXkiRJktQU\nHA58lFJaCRARzYFWKaVlKaVb61vYbs+SJEmSpKbgL0DrgudtgMeLXdjwK0mSJElqClqllD6oeJJS\nWkoWgIti+JUkSZIkNQXLImK3iicRsTvwUbELe8+vJEmSJKkpOB+4MyLm5s+7AccXu7DhV5IkSZLU\n6KWUno+IHYG+QALeTCmtKHZ5w68kSZIkqanYHdiWLMt+KSIoZqRnMPxKkiRJkpqAiBgHbAe8CKws\nmGT4lSRJkiSVjN2AnVJK6bMs7GjPkiRJkqSm4FWyQa4+k3rDb0QcEhFvRMRbEXFBDdPbR8SfIuLF\niHg1Ik79rJWRJEmSJJWOBs6TWwJTI+KxfJk/RcQDxdalzm7PEdEc+DXwNWA28HxEPJBSer1gtrOB\nV1NKR0ZEZ+DNiBiXUvq02EpIkiRJkkrLesiTI/J/ExAFj4tSX8vvnsDbKaXp+RDStwODqs2zCmiX\nP24HLDD4SpIkSdImr0HzZEppAjAd2Cx/PBl4odjK1Bd+ewCzCp6/m79W6NfAThExB3gJOK/YlUuS\nJEmSSlaD5smIOAO4CxiTv7Q1cF+xlakv/BbThHwI8I+UUndgV+DaiGhbbAUkSZIkSSWpofPk2cA+\nwBKAlNI0oEuxlanvp45mA9sUPN+GLK0XOhUYna/8nxHxDtAXmFK9sBEjRlQ+Li8vp7y8vNh6SpIk\nSZIakQkTJjBhwoS6ZmnQPAksTyktj8hu942IFqzFPb/1hd8pwBciohcwBzgeGFptnplkNzD/LSK6\n5hX9V02FFYZfSZIkSVLTVb1Bc+TIkdVnadA8CTwVET8G2kTEgcBZwJ+KrW+d4Tel9GlEnAM8CjQH\nbkwpvR4RZ+bTxwCjgLER8TLZiFs/TCm9X2wFJEmSJEmlZz3kyR8BpwGvAGcCDwO/K7Y+9bX8klL6\nM/Dnaq+NKXg8Fzi42BVKkiRJkjYNDZknU0orgRvyv7VWb/iVJEmSJGljy+8Hri6llLYrZnnDryRJ\nkiSpKdij4HEr4OtAp2IXru+njiRJkiRJ2uhSSu8V/L2bUroKOLzY5W35lSRJkiQ1ehGxG6t/2qgZ\nsDvZQFpFMfxKkiRJkpqCK1gdfj8FpgPHFbuw4VeSJEmS1OillMrXZXnDryRJkiSp0YuI77G65bfy\n5fzflFL6ZV3LG34lSZIkSU3BbmQjPj9AFnqPAJ4HphWzsOFXkiRJktQUbAN8KaW0FCAihgMPp5RO\nKGZhf+pIkiRJktQUdAFWFDxfkb9WFFt+JUmSJElNwa3A5Ii4l6zb82DglmIXNvxKkiRJkhq9lNLP\nI+IRYJ/8pVNTSi8Uu/wmEX4n/30yp55/aoOUVdaqjKv+56oGKUuSJEmStFbaAEtTSjdFxJYRsW1K\n6Z1iFtwkwu8nKz+h1+BeDVLW9D9Ob5ByJEmSJEnFi4gRZCM+9wVuAloC44C9i1neAa8kSZIkSU3B\n0cAgYBlASmk20LbYhQ2/kiRJkqSmYHlKaVXFk4j43NosbPiVJEmSJDUFd0XEGKAsIs4A/gr8rtiF\nN4l7fiVJkiRJTVdEBHAHsAOwFOgD/DSl9HixZRh+JUmSJElNwcMppS8Cj32Whe32LEmSJElq1FJK\nCfh7ROz5Wcuw5VeSJEmS1BTsBZwYETPIR3wmy8X9ilnY8CtJkiRJarQiomdKaSZwMJCA+CzlGH4l\nSZIkSY3Z/cCAlNL0iLgnpXTsZynEe34lSZIkSU3Fdp91QcOvJEmSJKnk2e1ZkiRJktSY9YuIpfnj\n1gWPIRvwql0xhRh+JUmSJEmNVkqpeUOUY7dnSZIkSVLJM/xKkiRJkkqe4VeSJEmSVPIMv5IkSZKk\nkmf4lSRJkiSVPMOvJEmSJKnkGX4lSZIkSSXP8CtJkiRJKnmGX0mSJElSyTP8SpIkSZJKnuFXkiRJ\nklTyDL+SJEmSpJJn+JUkSZIklbx6w29EHBIRb0TEWxFxQS3zlEfECxHxakRMaPBaSpIkSZKanMaU\nJ1vUNTEimgO/Br4GzAaej4gHUkqvF8xTBlwLHJxSejciOq+vykqSJEmSmobGlifra/ndE3g7pTQ9\npbQCuB0YVG2ebwL3pJTeBUgpvdfw1ZQkSZIkNTGNKk/WF357ALMKnr+bv1boC0DHiHgyIqZExEkN\nWUFJkiRJUpPUqPJknd2egVREGZsBXwK+CrQBnomIZ1NKb1WfccSIEZWPy8vLKS8vL7qikiRJkqTG\nY8KECUyYMKGuWRo0T66r+sLvbGCbgufbkKX1QrOA91JKHwEfRcREoD9QZ/iVJEmSJDVd1Rs0R44c\nWX2WBs2T66q+bs9TgC9ERK+IaAkcDzxQbZ77gX0ionlEtAG+DExt6IpKkiRJkpqURpUn62z5TSl9\nGhHnAI8CzYEbU0qvR8SZ+fQxKaU3IuIR4GVgFfDblJLhV5IkSZI2YY0tT9bX7ZmU0p+BP1d7bUy1\n55cDlzds1SRJkiRJTVljypP1dXuWJEmSJKnJM/xKkiRJkkre/9/enYdbUlZnG78fGggqKsZZQCGI\nEYyIikjUCGJUTJzjhKgokTgENSZGifrFxgmIAw5EHAKIAxCiiBMgTu0sOCAogmhkRoEoqAwqw/r+\neOvA5tB9hvbQVbW5f9flxT5VpztPd3bvU6vqfdey+JUkSZIkTT2LX0mSJEnS1LP4lSRJkiRNPYtf\nSZIkSdLUs/iVJEmSJE09i19JkiRJ0tSz+JUkSZIkTT2LX0mSJEnS1LP4lSRJkiRNPYtfSZIkSdLU\ns/iVJEmSJE09i19JkiRJ0tSz+JUkSZIkTT2LX0mSJEnS1LP4lSRJkiRNPYtfSZIkSdLUs/iVJEmS\nJE09i19JkiRJ0tSz+JUkSZIkTT2LX0mSJEnS1LP4lSRJkiRNPYtfSZIkSdLUs/iVJEmSJE09i19J\nkiRJ0tSz+JUkSZIkTT2LX0mSJEnS1LP4lSRJkiRNPYtfSZIkSdLUs/iVJEmSJE09i19JkiRJ0tSz\n+JUkSZIkTT2LX0mSJEnS1LP4lSRJkiRNPYtfSZIkSdLUs/iVJEmSJE09i19JkiRJ0tSz+JUkSZIk\nTb15i98kOyU5LclPkrxyju97QJKrkjxpaSNKkiRJksZoSPXknMVvkmXA/sBOwJbAzkm2WMX37Qsc\nC+RGyClJkiRJGpGh1ZPzPfndFvhpVZ1ZVVcChwOPX8n3vRj4KHDREueTJEmSJI3ToOrJ+YrfDYFz\nJlr2OmMAACAASURBVL4+tzt2rSQb0v4AB3SHasnSSZIkSZLGalD15HzF70L+D78d2LOqivaI2mXP\nkiRJkqRB1ZNrz3P+PGDjia83plXrk+4PHJ4E4HbAo5NcWVWfnP2bLV++/NrXO+ywAzvssMPiE0uS\nJEmSerdixQpWrFgx17csaT35x5qv+P0OsHmSTYDzgacBO09+Q1X92czrJAcDn1pV0MniV5IkSZI0\nXrMfaO61116zv2VJ68k/1pzFb1VdlWQP4LPAMuDAqjo1yfO78++9MUJJkiRJksZtaPXkfE9+qapj\ngGNmHVtpyKp67hLlkiRJkiSN3JDqyfkaXkmSJEmSNHoWv5IkSZKkqWfxK0mSJEmaeha/kiRJkqSp\nZ/ErSZIkSZp6Fr+SJEmSpKln8StJkiRJmnoWv5IkSZKkqWfxK0mSJEmaeha/kiRJkqSpZ/ErSZIk\nSZp6Fr+SJEmSpKln8StJkiRJmnoWv5IkSZKkqWfxK0mSJEmaeha/kiRJkqSpZ/ErSZIkSZp6Fr+S\nJEmSpKln8StJkiRJmnoWv5IkSZKkqWfxK0mSJEmaeha/kiRJkqSpZ/ErSZIkSZp6Fr+SJEmSpKln\n8StJkiRJmnoWv5IkSZKkqWfxK0mSJEmaeha/kiRJkqSpZ/ErSZIkSZp6Fr+SJEmSpKln8StJkiRJ\nmnoWv5IkSZKkqWfxK0mSJEmaeha/kiRJkqSpZ/ErSZIkSZp6Fr+SJEmSpKln8StJkiRJmnoWv5Ik\nSZKkqWfxK0mSJEmaegsqfpPslOS0JD9J8sqVnN8lyUlJTk7y9SRbLX1USZIkSdKYDKmWnLf4TbIM\n2B/YCdgS2DnJFrO+7WfAQ6tqK+D1wPuWOqgkSZIkaTyGVksu5MnvtsBPq+rMqroSOBx4/OQ3VNU3\nq+rX3ZfHAxstbUxJkiRJ0sgMqpZcSPG7IXDOxNfndsdW5e+Bo/+YUJIkSZKk0RtULbn2Ar6nFvqb\nJXkYsBvw4NVOJEmSJEmaBoOqJRdS/J4HbDzx9ca0iv16uo3J7wd2qqqLV/YbLV++/NrXO+ywAzvs\nsMMiokqSJEmShmLFihWsWLFirm9ZslpyKSyk+P0OsHmSTYDzgacBO09+Q5K7AkcCz6yqn67qN5os\nfiVJkiRJ4zX7geZee+01+1uWrJZcCvMWv1V1VZI9gM8Cy4ADq+rUJM/vzr8X+HfgNsABSQCurKpt\nb7zYkiRJkqQhG1otuZAnv1TVMcAxs469d+L184DnLW00SZIkSdKYDamWXEi3Z0mSJEmSRs3iV5Ik\nSZI09Sx+JUmSJElTz+JXkiRJkjT1LH4lSZIkSVPP4leSJEmSNPUsfiVJkiRJU8/iV5IkSZI09Sx+\nJUmSJElTz+JXkiRJkjT1LH4lSZIkSVPP4leSJEmSNPUsfiVJkiRJU8/iV5IkSZI09Sx+JUmSJElT\nz+JXkiRJkjT1LH4lSZIkSVPP4leSJEmSNPUsfiVJkiRJU8/iV5IkSZI09Sx+JUmSJElTz+JXkiRJ\nkjT1LH4lSZIkSVPP4leSJEmSNPUsfiVJkiRJU8/iV5IkSZI09Sx+JUmSJElTz+JXkiRJkjT1LH4l\nSZIkSVPP4leSJEmSNPUsfiVJkiRJU8/iV5IkSZI09Sx+JUmSJElTz+JXkiRJkjT1LH4lSZIkSVPP\n4leSJEmSNPUsfiVJkiRJU8/iV5IkSZI09Sx+JUmSJElTz+JXkiRJkjT15i1+k+yU5LQkP0nyylV8\nzzu78yclue/Sx5QkSZIkjc2Q6sk5i98ky4D9gZ2ALYGdk2wx63v+Brh7VW0O/ANwwI2UdbVdcdkV\nfUdYbStWrOg7wmoze3/GnN/s/Rhzdhh3frP3Y8zZYdz5zd4Ps/dnzPn/2OxDqyfne/K7LfDTqjqz\nqq4EDgceP+t7HgccAlBVxwMbJLnjkif9I1xxucVvH8zenzHnN3s/xpwdxp3f7P0Yc3YYd36z98Ps\n/Rlz/iXIPqh6cr7id0PgnImvz+2Ozfc9G/3x0SRJkiRJIzaoenLtec7XAn+frOavm0r/9E/LueSS\npfm9jj3ucM685Mwl+b02WG8D3r7P2+f8njFnX0rHfv7Y0WaXJEmSBmJQ9WSqVv37JtkOWF5VO3Vf\n/xtwTVXtO/E97wFWVNXh3denAdtX1QWzfq+bdEEsSZIkSdOuqq4tZJeynlwK8z35/Q6weZJNgPOB\npwE7z/qeTwJ7AId3f7hLVhZ08i9BkiRJkjT1lqyeXApzFr9VdVWSPYDPAsuAA6vq1CTP786/t6qO\nTvI3SX4KXAY898YIKkmSJEkaj6HVk3Mue5YkSZIkaRrMt+x5dLq5UY/nui5i5wKfrKpT+0uloUuy\nTtd+ffLY7arq//rKJGn6jfVzJsmtgbsDP6uqi/vOo+FKsj3wi6r6cZKHAH8J/KiqPtNzNEk3QfON\nOhqVJK8EDuu+PL7731rAYd3m6kFLctckG3SvN03ylCR/0Xeu+ST5kyRrTXy9Y5KXJ3l0n7kWIsnD\nkpwL/CLJcUk2nTj9ub5y3RQkuW2S1yZ5XpK1krw6yWeSvDnJbfrON5ckT0py2+71HZJ8MMkPk/x3\nksGPekuyU5K/7/bfTB7frZ9Ef5wk9+s7w0IkeXSSM5J8Lcl9k5wCHJ/kvCR/3Xe+uST5SJLbda8f\nBfwA2Bc4KclTew23AElulWSzlRzfqo88f6wkb+o7w0IkeQewN/DhJK8H/gNYD3hZkrf0Gm6KJVk7\nyQuSvCHJg2ede01fuVZXktP7zrBQSTZLcnD3d3/LJO9PckqS/5n9M3fokmye5MlJtuw7y1KaqmXP\nSX4CbLmSJ3jr0u4y3r2fZPNLsifwfOAPwJuBlwNfB7YDDqqqt/YYb05JTqZ1ZLs4yb8CTwSOBrYH\nvltVe/YacA5JvgPsCvwI+DtgH+BZVfXNJCdW1X17DbgaknyxqnbsO8d8khwDnAzcCtiCdjH9P8Aj\ngK2qavYA9MFIcmpVbdG9PgL4JvBR4OHALlX1iD7zzSXJ3sCDge8BjwXeUVXv7M4N/j0/UeiGNgYh\ntEYZjwWoqu/1FG1eSU4Cng5sAHwG+Juq+la3YunQIf/dJ/lhVf1F9/qbwM5VdWZXEH+xqgZbRHbF\n+duBC4F1gOdW1QnduTG859+1ksPPBj4IVFW9ZA1HWrAkPwL+ArgZcB6wYVVdlmQd4PtVda9eA84h\nyYuBw6vqoiR3Bw4CtgJ+DDyvqn7Qa8A5JDmQ9nf+beCZwJer6p+7c4N+zyf5Ldd9ts+4OXA57f1+\nq16CLVCSrwKH0j7nnwkcDBxBu7bZZcjXZ0lWAE+uqv9L8izg/wFfAR4IvH/mWmHspm3Z89W05c5n\nzjp+l+7ckD0b2BK4BS3/pt0H7i2AE4DBFr/AWhPL3p4OPKSqrkiyD3AiMNjiF1i3qk7pXn80yanA\nkd0qgsFL8gNu+EPiHjPHh3xBCtylqh6dJMB5VbVDd/wrXZEwZJOrZjarqpknXx9I8rI+Ai3CY4H7\nVtWVSZbTVsb8GTD03DO+A3wL+P3EsT/lus/Ih63xRAt39cwWnCSXVdW3ALrGH0OfiJAkt66qX9N+\nnp4D0F0kLes32rxeDdy/qn6eZFvgg0leVVVH9h1sgZ4IfBk4rvs6tJ+13+kt0cJdQ/sZdXX335o4\nPvT3/AuraubGwzuB/YCjaDf230O7iThU21bVvQGS7A+8O8mRwDP6jbUgB9MKx1dU1S+6z8afVdWm\n8/y6oVi/qg4ASPKiqppZ4XBgd0NlyCa34bwU+Muq+mWSm9NW01r8DtA/AZ9P6xR2TndsY2BzWvvs\nIbuqKxj/QLu79SuA7g7p0B/P/zbJvbu7oBfR7jZeQbvDPvQfbn9Icqeq+gVAVZ2S5OG0pzI3WCI3\nQGcAvwXeQHvfBPgq8BiG/3efJH8KrA/cIsmmVXVG9yRpnZ6zzefLSV5HW863IsmTqurIJA8DLuk5\n23yWzayOqapLkjwWeB/tqfu6vSZbmKfQfii/uaqOBkhyRlUNueid8eu07pa3Bi7ubpQcAfw1cGmv\nyea3F/Cl7kL668ARST4F7AAc22ewBVhWVT8HqKoTun+nn06ycc+5FmpL4PXATsC/VNX5SV5bVYf0\nnGshjqb9TFoPOJD2vvkWrYD8Sp/BFmDyps7tq+rj3esVSW7ZR6BFuPZnaPd5v3uS1wJfoP3MHayq\nekmSbYBDk3wC2L/vTIt0TZI/p33O3yzJA6rq20k2Z/jbTa9MslFVnUu7try8O/57hp99waZq2TNA\ndwd6W9oT4KIts/lOVV3Va7B5JDmEduF5C9qb7SraBcWOtLtIg91T1e2Z+hBtCWsBD6H9ULs38Laq\n+kiP8eaU5BHARVX1/VnHNwD2qKo39JNs4ZI8ifbU7i1V9YmuEBj8HdIkO9OWIgZ4EfCC7tSWwF5V\n9d6+ss2n20rxaq5rxb8R7d/tp4BXVtXZfWWbT5LPAP9RVV+edfwNwKuqavA/4LoLz9fTPudfDqwY\nyXv+rsBraE+9ltOewuwGnE0ragbdmLG7eNuddkN5HdpN5qOq6rO9BptHkm/QtrP878SxWwEfB/6q\nqsZw04ck9wfeQiso96iqu/UcaUGSPIi2Eumb3fLhJwJnAR+tqmv6TbdqSd5I+4x5He1J+xXAkbTr\nsr+rqsf0GG9OST4CfLiqjpl1/HnAAVU19BvMM9fzewBPBu5eVXfuOdKCdA9QDqB9zu9Ouz7bilYM\n715VR/UYb05JdgD+E/gYbUXV/WgrTh4CHDvxFHvUpq74Hatu/8tTaP9YPkpbX78z7aLoP6vqsh7j\nzSvJ2sAjuf5F0XF2AV0zkqxPKwb+DNimqjac55cMQve+SbcEdx3gPsD5VXV+z9EWrLtRsjbwyxrB\nB2qSmwFU1RUrOTdzx3cUuv2/bwPuVVW37zuPhinJ1sBlVfWTWcfXBZ5aVR/uJ9nipTWXfBGwXVU9\ns+88qyPJ7avqor5zLESS59JuzG4G/AltgshRwD7dFgDdyJLcBdh6ZqXPGCW5PXDx0B/EwbXXNM/g\n+tfzn6iq03oNtoQsfqVVSHJMVQ2+Y/Wk7iJvu6p6T99ZVke3P+bdfedYqG5p1sa0/Wynj+WHQ7eH\nahvaE+tRZZ+t+7Pcsqp+03eW+XSrNL7c7aG6A+0p3v2AU2hPfgd746EruiZv0D6cNlbwVOA9Q36C\nN42S3L+qvtt3jvmkTX14N20V3ktoq8TWoxWSz6mqz/cY7yaj6+twX+CUMXzWdwXYTlx/bOlnq2ro\n24qAa0fBPZrrr0IdTf5pZ/E7EN0/lH+jXYweXVWHTpx7d1W9qLdw80iyU1Ud273egNZ4Zlta996X\nVdUFfeabS7eMbGX/CAJ8pqrutIYjrZaMcE5xkn9ZyeFXAW8EqKq3rdlEC5c2t/KttP299we+QWvQ\ncSVteeU5c/zyXo05O0DaiKk9aBcTB9E+Nx9E69j+piGvNsm4u4QfANyetj3nN7QC5hO0/gK/qKqX\n9hhvTkkupi3jO4zWmXpUFz5ZeYfzTwCPAzuc31iSPI62gu13fWdZrCRHVdUTutePp20xWkFr0rV3\nVR3cY7w5JXk28FrauMmZG4Ib07ol7zX0ve5jz78qSd5XVf/Qd46lYPE7EF0XvtNp3dR2o4082qWq\nfpfht6W/Nl9ae/2fA/9F29ez/cwH8BAluZpVN93YrqputibzLFbXuOVDtCZj3wWeX1VndOeG/r65\nlHYx9KOZQ7RGRm8HqKq9eoo2ryTfBx5RrSP7psB+VfWEbg/5v1bVI3uOuEpjzg6MfUTWj6vqz7vX\n362q+0+cO6mq7tNfurmlG3XUbU+4ALhzVf2+27pwYnWdZYcoyY+Bd9GW8m1Ce78cVl237aFLcg03\n7HC+XXeMITd7S/K9qrpf9/qcqtp44tz3q2rr/tLNLckVtF4OR9NunHy2qoY+OQS4wXXZN4Fn1HUN\nJYc+mux0WrfqS2Ydvw1wQlVt3k+yhRlz/rQmpCs9BZw8li1185m2bs9jtllVPal7/fEkrwa+0N2x\nG5NtaHszCtgvyXN6zjOf02gF4w0GqCcZ9BOwzpuBR3HdnOLPJXlWVX2z31gLsiVtv+YtgOVVdXmS\nXYdc9E5Ya2LP2tnA3QCq6nNJ3tFfrAUZc3YY94isL2e8XcKvgtY5Nsm3q+r33ddXdcXZkF1eVfsD\n+ye5G+1J5Lu7i9HDqupV/cablx3O+3EarbnVU2iN9T7QPag4rGY1DBy4dWduilcbTTb0f6+rMvan\ndWPI/3+0ZnQrMzV9NSx+h2PdJGvN7JuqqjcmOY8222/QbemB2yf5Z9qdoVvPOjf0cTvLWXX79pes\nwRyra7Rziqt1RH5ykifQRpTt13emRfhut8rhS7Slh18CSJvLPfRuyWPODuMekbUHrUv4j7uvX5Zk\npkv4s3pLtTC/SLJ+VV1aVY+aOZjkzlz/ieSgVdVZwL7AvknuCTyt50jzqqqPJTkOeH3XgOnlfWda\nhF25rsP5I2lP3z9Lu/G2e4+5FqTbRvE+4H3de/2ptPfOhpNPsQdoqyS/7V6vl+TO1eZc/wnD/5x/\nI+3n1HFcf9nwI2mNPYduzPl/Bjy8+5y8npE8EFoQlz0PRJI30/aWfG7W8Z2Adw18mcRyrn9H64Cq\nurD7QbFvVT27n2SLl+Sv6PYrV9VxfeeZT5LvAI+pbk5xd2wjujnFVTX0GyfAtd2ql9OWCj205zjz\nSusSuztt2e1JwEFVdXVaJ+U7VtWZfeaby5izw7hHZE3KyLqEr0p302T9gfd2eFtV/XPfOZZC7HC+\nxsy1dSjJJkP/rFyZ7nNny6r6Rt9Z5tLd4HwUcJfu0Hm0a+Rf9Zdq4caaP8kewNdq1vjP7txLquqd\nPcRacha/I5Bkt6o6qO8cc+maV2wIfKuqLp04/uiaNWduSJKcUFXbdq93B/6RNvvxkcCnq2rvPvPN\nJ1Mwp1harNxwRNbWtCXQgx6RlWSrqjq57xxLIW3W8ubAz2bvbdONK63z9i1rJKN2upv4GwJfmCwY\nh35tk+RhVfWlvnNo3NIa2m4O/G8NuCHjTcnQlz6oGfQeyCQvoc292wM4pVvGOuNN/aRasMllks+n\nNQLai1b87tJPpIWrqs+t7A5dVV0y9MI3yQZJ9klyWpKLk/yqe71PV7wP1pizzyWtmdQYXEMb0QTt\nCfA1wBg6sp6Y5CdJXp9ky77DLEaSd0+8fghtPNNbgR8m+dvegi1Qkp2SvCfJp7r/vacrykanqq6Z\nKXyT/HvfeeaSZG9aF/970/qYTG4nenE/qRZmWgvfJD/oO8NckmyR5Jgkn0myWZIPJLkkyQndg5ZB\nS/KRtLm+JHkUrSnjPsBJSZ7aa7gFSHKrJJut5Phgm6Qtlnt+B2KeD6M7rrEgq+cfgPtX1aVJNqHt\nPd2kqt7eb6wFWdYtTwmwbKYRUFVdlmQsw8j3BJ5Ae58UcCHtZsQ+A38icwTwBWAH4IKqqm6p/K7d\nuSF3HR5t9lw3NuUGp2hzIAetu7n2XuCaJC+gXVhfCtwzyQur6pO9BpzbybS9vc8APtnt9z0UOHwE\nSyj/cuL1G4AnVNX30uaH/g9tq8UgpTVy2xz4IG35IbSxgi9J8jdVNYb+DquyO/C6vkPM4bHAfbtV\nGsuBw7r3zMv6jTW/ySfT3XaiQ2jj4X5Em1F8g0aZQ5Hk71ZyeGZM1p3XcJzFeh/wH7S+Dl8CXkmb\ngvK3wP600XBDdp+JppLLgYdW1ZldX4ov0q4RBqkrzt8OXNitqnpuVZ3QnT6EEVwjLITLngciyQW0\ngd4rWxLxjaq6y0qOD0KSU6rqXhNfr0+bqfgj4GEDH2VwJtftVy7gwV1TiFsCXx1ydoCuocIXaB9K\ns4uwHWvAY2uSnF5V91jsuSEYefaxj/f6Pu2z8ua0PcsPqKrT0rr4HlkT44OGZvYewiQPpHUefgpw\ndlU9qLdw88j1R6fM/nMMfazaT1bWNyNJgJ9U1d17iLVgua5x0crcrKoG+yAjE7Otu6/XphU3twK2\nmLx2GJpZ7/n/oc1tPZDWKHCPqhpsEZbkStqNtdmdnQM8ecj9QGb9vf908t/n0D9roF0TAw+qql8n\n+Rpt5OfVM+cG/p4/Cdipuw7elnbD8FXVphIM/u9+oQb7gXkT9Bla05ATZ59IMvSW+hcm2Xpm+W33\nBPgxtB8Sg14mUVWbrOLU1bQ5xUO3SVXtO3mgqn4O7JNkt54yLdRZSV4BHDLTLCfJnWiF+9m9Jpvf\nmLOPfbxXzTR4S3J2VZ3WHTwrbS/kaFTV8cDxSf4FGHqjt3tOrFDaNMltquriJMsYfpft3yXZduIJ\nxoxtgSv6CLRIF9OaAf5i9okR/Jv9WZLtqxsNVFVXAbsleQPwpLl/6aD8eVU9pXv98SSv7TXN/H4A\nvKWqbrCqMMlgi/bOsonXb5t1buifNdC2Kn4pyf7A14EjknyKtlLs2D6DLcCy7hqSqjohbQzfp5MM\nubP5oln8DkRVrbJQqaqd12SW1fBs4MrJA90Sp11pd3hHp6ouB87oO8cCjLkIexptyfaXk8ws7b8A\n+CRtnMSQjTn7csY93otcNxbuuRPH1mb4F0ZvWdnB7s+yYs1GWbTZe+0u6/57G2DQ+06B5wAHdCt6\nZkaPbAT8pjs3dB8C7grcoPgFDlvDWRbrKaxkvmlVvSbJe3rIsxgbJXkn7Wnp7ZKsU1Uz1zpDv37+\nJ9r7e2WGftPh3UluWVW/rarJXgN3Bz7fY64FqaojkpxI25KwOe3n0gNp86E/22u4+f0myWZV9b/Q\nHqZ0BfDHgcE+sV4slz1LI9btV96TtgxrdhG2zwja6s90CT++qn47cXynqhr6HdLrSfKhqhr6rFbS\n5jw+ndYd+fNJdgEeRNum8P6q+kOvAefRLcX6QVVdMev4JsBDqurDfeTS8HVbQjbsvjxv5gmH1qwk\nL5osaoYqyXO4bp9sAZ+qql9176MXV9Wr+swnLbUkWwOXVdVPZh1fF3jqtPx8tfiVplSS51bVwX3n\nWJW0rp//CJxKa6Lw0qo6qjs36L0l3RKmmYuiGTvSmllUVT2ul2ALkORQ2rKymwOX0JqKHAn8NUBV\n7dpfutWT5LZV9cu+c8wnbeTFv9GeOh5dVYdOnHt3Vb2ot3DzmLwh1TXaeyvdTHTgZTXgOb9zSXLP\nmaXzQzfryePMsdtV1f/1lWk+3ZL+2V4FvBGgqmYva9USSLIf8LGq+lrfWZZCki9W1Y5951iIJLel\nTT85j7b971Vcd4P5TeW4o95Z/EpTKsk5VTXYfRpJfkhrsDTTJfxjwIeq6u0jKH5PpP0g+y9aQ5HQ\nlh8+HWBmf9sQJflBVd27WyZ8PnCXqrqqa/5zclXdu+eIc0qyL20v20VJtqF1zryGtrRs16pa0We+\nuSQ5EjgdOJ7WvfQPwC5V9bsxvOcnmtAcCPyc9v5/Iq2hyxPm+vVDNfTPSWjzZmlLn28GfJe2Z/+M\n7tzQ3zeX0nqa/GjmEPBSWkdZqo0WHKRZRcxBtBtXoyhiklwEnAXcATictuT2Bj1lhqjrLTD75vI9\naJ+dVVWD7iWTNjLwZODWtO0iJ9M64j8C2KqqHt9jvDkluZh2LXYY8MWa0iJx6HsWJM0h4x6Rlaq6\nFKDaGIDtgY+lde3N3L+0d9vQLuBeDfxrVZ2Y5HdDLnonpFv6fHPaxfStgV8C6zGOnwl/W1Wv7F6/\nBXhaVX07yT1oP7AH2+0Z2KyqZvbbfTzJq2mzTwd7MbQK2wBbdxdG+3XLQwcrybvmOD2GudxvBh5F\nK7r+DvhckmdV1Tf7jbUgW9KaFt0CWF5VlyfZdchF74QP0wqXbYBn0lY57EsrYj4ADPnf7blVtU33\nufh04MPdDc9DaYXwYMc00fqt/JY2Uu1y2vXAV4HHMPxrA2g3lB/d3VA+r6q2745/peumPGQXAt8H\nXg98KK3L+WFV9a1+Yy2tMVzoSFq1OzDHiKw1nGWxxtwl/GrgbUmOoF38X8h4Pk8PpC01Xxt4Da0T\n5RnAdsB/9xlsgZZNLP9cr6q+DVBVp3f7koZs3YlmXVTVG5OcB3yZtvx8yG6f5J9pF5+3nnVu6Bek\nzwFeDvye6zdfCm3m8tCtW1WndK8/muRU4Mgkr5zrFw1BVZ0NPDltPvfnu+W4YzG7iNmhOz6GIgZo\nn4u0OdCvS3IfYGfgGGCzXoPNoaoel+RJtIapb6mqTyS5qqrO6jvbAqXrx7I+cIskm1bVGWlzfofe\nlPHyqtof2L97EPF0WgOy29CK4KnY5z6WizVJKzfmEVmj7xJeVecCT+mK9l/3nWchqmq/rminqs5L\n8kHaft/3rWQUzBC9Gzg6yd7AsUneQduzvCPtjvWQfRp4OG1eKABV9YEkvwDmejo5BP8F3LJ7fTBw\nO+Cirrv80P/evwP8sKq+PvtEkuVrPs6i/SHJnaobdVRVp6SNq/kMAy5iJlXVUUk+T+s2P/TxTDPG\nXMTcQFWdRJuNvmffWeZTba7sccDr08Y2Dv3G5qS9aTeYA/w98P52/4QtaWOQRqG72bAvsG+Se9Km\nXEwF9/xKkkal2wP5QtoYibVp42uOAg6a3RBoaJI8ELimW6p9L9rKjVOr6uieo80pyXa0nL9OcnPa\nBfT9gFOAvavqkl4DzqErYH5XbYTd6CR5BHDRzCqZieMbAHtU1Rv6STbdkuxM25sc4EXAC7pTWwJ7\nVdV7+8o2n3SjgvrOsRS6DsTbVdXQR2Ndq1tinu6G/jrAfYDzq+r8nqPNKcl+VfWyvnPc2Cx+JUlT\nYQQdzpfTit11gONosx+/RNtDeNyQi5gkP6I1a7kqyftpc34/Sls1sNXEXmatAXY4XzPGWsRAe2xN\n26+8EXA1cPqIOpuPNjtAkrsCv6mqS7qGng+g3Tz8Ya/BBFj8SpKmxNA793YdzremLeG7ANioe5J6\nM+CEIXfaTnJqVW3Rvf5eVd1v4txJVXWf/tLNLW0u67/TuoL/O/BiWuOoU2kj1gY973eODufrFWsF\nOgAAB3RJREFUAs+2w/mak/HMKN6eNo7sEloTwG/QmrtdCTyrqga79HzM2QGS7Ak8n/ZefzOt38DX\naX01Dqqqt/YYb05J3gYcOS0jslbFPb+SpNGYp8P5HdZYkNVzVVVdBVyV5H+r6tcAVXVFkmt6zjaf\nU5LsVlUHASclecBEl+0/9B1uHh+g7bdeH1gBfAT4W1q33vcw7K69YIfzXmQVM4qTrAeDn1H8DuAR\n3Q2TTYH9qurB3RL6A4FH9htvTmPODq2fyZa0DudnApt2f5ZbACfQCvuhehbw0CSjG5G1GBa/kqQx\nGXOH898nuXm393TyyekGtKV9Q/Y84B1JXgNcBHwjybm05kXP6zXZ/O5QVe8CSPLCqtqnO/6uJEPP\nDnY478te3HBG8Vpc1/htyNaqqou612cDdwOoqs91TQKHbMzZod3kvCLJH2ijmn4FUFWXJRn6ctsx\nj8haMItfSdKYjLnD+fZV9TuAmWKgszawaz+RFqZraLVrt4dzU7pGYzMdiAdurYnXH5rj3FDZ4bwf\nY55R/N0kB9J6Cjyu+y/d08ehv+fHnB3gxCSH0d43XwQOSXIs7d/rj+b8lQMxxhFZi+GeX0mSNLWS\nvB74j9ndb5NsTutU/eR+ki1c1+H8BcA9GFmH80lJ/grYFvhBVR3Xd56FSJtR/ApgP9r7aNOeI82r\nWxGwO7AFbbzRQVV1dddf4I5VdWaf+eYy5uwAXWO0p9D25X+U1tjwGcBZwH9W1WU9xpvTGPfhrw6L\nX0mSdJM0sY950JJsAWwIHD9ZxCfZqaqO7S/Z3JKcUFXbdq93B/4R+Dht3+anq2rvPvMtVJL1aTOK\nt62qh/YcR7pRTNOIrLmMYfmAJEnSjWHwS1iTvIT2lHcP4Ifdk8gZQy8e15l4/XxaI6O9aMXvLv1E\nWryqurSqXj6WwjfJBkn2SXJakouT/Kp7vU/XY2CUkhzTd4b5JLlzkgOS/GeS2yZZnuQHSY7oOs8P\n2eBXNSwF9/xKkqSpNU+H8DuusSCr7x+A+1fVpd3M0I8m2aSq3t5vrAVZluRPac2ils00Muqa/1zV\nb7S5dUXinsATaO+TAi6k3YjYp9sHP1RHAF8AdgAuqKrqCq9du3OD7Zic5H6rOgWMYUnuBxhvd/kT\nk/yM6zo9j2KP8mK57FmSJE2tJBcwR4fwqrrLGo60KElOqap7TXy9PvA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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f24aeecf750>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The probability that the distributions for payload/histograms/GECKO_THREAD_ACTIVITY_MS (Users with blacklisted extensions) are differing by chance is 0.00.\n"
     ]
    },
    {
     "data": {
      "image/png": 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L+eMf/1hrfQFmzpzJkiVLVuhi3pQZfiVJkqQiVB6shg0bxvXXX8+k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\n0JQpuCfSjsr0V0j6C09Uem7ceuVuZdpzREREDBRJdzGfCuK211jMIS0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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f24ae9de2d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The probability that the distributions for payload/histograms/GECKO_THREAD_ACTIVITY_MS (Users with blacklisted extensions) are differing by chance is 0.00.\n"
     ]
    }
   ],
   "source": [
    "compare_thread_activity(all_clients, \"Gecko\", \"All clients\")\n",
    "compare_thread_activity(with_extensions, \"Gecko\", \"Users with extensions\")\n",
    "compare_thread_activity(no_extensions, \"Gecko\", \"Users with no extensions\")\n",
    "compare_thread_activity(whitelisted, \"Gecko\", \"Users with whitelisted extensions\")\n",
    "compare_thread_activity(blacklisted, \"Gecko\", \"Users with blacklisted extensions\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}