derkling/PELT vs WALT - Pixel2.ipynb Secret

## PELT vs WALT - Pixel2.ipynb
{
  "cells": [
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "# PELT vs WALT Comparison Running on Google Pixel 2\nAnalyses and visualization of results generated by a [WLTest](https://github.com/ARM-software/lisa/tree/master/tools/wltests)"
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Kernel reported by the following tests are:\n\n- **WALT20:**<br>\n   a1592dc22912 \"Merge remote-tracking branch 'android-msm-wahoo-4.4-oc-dr1' into android-msm-wahoo-4.4-oc-mr1\"<br>\n   https://android.googlesource.com/kernel/msm.git/+log/android-msm-wahoo-4.4-oreo-mr1<br>\n   <br>\n   This is the base kernel which has been released with Android O (8.1 MR1), this kernel uses WALT for utilization tracking\n   <br>\n- **PELT32:**<br>\n   b04af4eb2ed4 \"CONFIG: remove WALT from defconfig\"<br>\n   <br>\n   This is the same Android O (8.1 MR1) kernel which has just been build by disabling WALT at compile time.\n   Thus, this is our baseline kernel using PELT, exactly what we have in a1592dc22912\n\nThe PELT32 kernel is obtained by compiling the official AOSP kernel with just **CONFIG_SCHED_WALT=n**,\nthus being a kernel which uses PELT instead of WALT for everything related to utilization tracking.\n\nOther kernels are obtained by:\n- tuning the WALT window size (WALT10)\n- tuning the PELT half-life (PELT16 and PELT32)\n- adding UTILEST on top of PELT (PELT32_UTILEST, PELT16_UTILEST and PELT8_UTILEST)"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "collector.collected_results()",
      "execution_count": 8,
      "outputs": [
        {
          "execution_count": 8,
          "output_type": "execute_result",
          "data": {
            "text/plain": "                 kernel_sha1                                  workload\nkernel                                                                \npelt32          28664cee575d  homescreen, exoplayer, pcmark, jankbench\nwalt20          377e2ad5112a  homescreen, exoplayer, pcmark, jankbench\nwalt10          845678322b9b  homescreen, exoplayer, pcmark, jankbench\npelt32_utilest  8d4be7fcfe13  homescreen, exoplayer, pcmark, jankbench\npelt16          bbc41ccc7774  homescreen, exoplayer, pcmark, jankbench\npelt8_utilest   c005209c377c  homescreen, exoplayer, pcmark, jankbench\npelt8           c33ff2e8992d  homescreen, exoplayer, pcmark, jankbench\npelt16_utilest  e11bafd0da53  homescreen, exoplayer, pcmark, jankbench",
            "text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>kernel_sha1</th>\n      <th>workload</th>\n    </tr>\n    <tr>\n      <th>kernel</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>pelt32</th>\n      <td>28664cee575d</td>\n      <td>homescreen, exoplayer, pcmark, jankbench</td>\n    </tr>\n    <tr>\n      <th>walt20</th>\n      <td>377e2ad5112a</td>\n      <td>homescreen, exoplayer, pcmark, jankbench</td>\n    </tr>\n    <tr>\n      <th>walt10</th>\n      <td>845678322b9b</td>\n      <td>homescreen, exoplayer, pcmark, jankbench</td>\n    </tr>\n    <tr>\n      <th>pelt32_utilest</th>\n      <td>8d4be7fcfe13</td>\n      <td>homescreen, exoplayer, pcmark, jankbench</td>\n    </tr>\n    <tr>\n      <th>pelt16</th>\n      <td>bbc41ccc7774</td>\n      <td>homescreen, exoplayer, pcmark, jankbench</td>\n    </tr>\n    <tr>\n      <th>pelt8_utilest</th>\n      <td>c005209c377c</td>\n      <td>homescreen, exoplayer, pcmark, jankbench</td>\n    </tr>\n    <tr>\n      <th>pelt8</th>\n      <td>c33ff2e8992d</td>\n      <td>homescreen, exoplayer, pcmark, jankbench</td>\n    </tr>\n    <tr>\n      <th>pelt16_utilest</th>\n      <td>e11bafd0da53</td>\n      <td>homescreen, exoplayer, pcmark, jankbench</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "# Jankbench"
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Total Frame Duration"
    },
    {
      "metadata": {
        "scrolled": false,
        "trusted": true
      },
      "cell_type": "code",
      "source": "for test in collector.tests(workload='jankbench'):\n    logging.info(\"Results for: %s\", test)\n    collector.report(workload='jankbench', metric='frame_total_duration',\n                     test=\"^{}$\".format(test), sort_on='mean', ascending=True)",
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": "2018-01-26 10:49:15,834 INFO    : root         : Results for: list_view\n"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABDsAAAHxCAYAAABj+LdXAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nlvL/99DTNkwEkrkAAAAASUVORK5CYII=\n",
            "text/plain": "<matplotlib.figure.Figure at 0x7fc38b906550>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "                                 frame_total_duration                      \\\n                                                count      mean       std   \ntest      tag     kernel                                                    \nlist_view iter_30 pelt8_utilest               49095.0  2.587300  2.247017   \n                  pelt8                       49080.0  2.675738  2.313587   \n                  pelt16_utilest              49077.0  2.692664  2.328909   \n                  pelt16                      49063.0  2.701470  2.342378   \n                  pelt32_utilest              49013.0  2.873739  2.513258   \n                  pelt32                      48984.0  2.999529  2.704403   \n                  walt10                      48969.0  3.103789  2.806915   \n                  walt20                      48961.0  3.287754  2.921232   \n\n                                                                          \\\n                                       min       50%       75%       95%   \ntest      tag     kernel                                                   \nlist_view iter_30 pelt8_utilest   0.934556  1.996357  2.815120  5.978836   \n                  pelt8           1.051464  2.012889  2.929866  6.661013   \n                  pelt16_utilest  0.979835  2.022012  2.878419  6.871684   \n                  pelt16          0.937495  2.017917  2.910141  6.863145   \n                  pelt32_utilest  1.001695  2.011282  3.240138  7.080322   \n                  pelt32          1.040674  2.046863  3.223249  7.771396   \n                  walt10          1.088194  2.093533  3.294473  7.883534   \n                  walt20          1.040789  2.135702  3.712840  7.971865   \n\n                                                         \n                                        99%         max  \ntest      tag     kernel                                 \nlist_view iter_30 pelt8_utilest    8.890425   96.793227  \n                  pelt8            8.891076  102.011359  \n                  pelt16_utilest   9.120199  117.635282  \n                  pelt16           9.103923   92.443679  \n                  pelt32_utilest   9.779138   75.863075  \n                  pelt32          11.218550   71.940356  \n                  walt10          11.145539   63.347810  \n                  walt20          11.447494   58.896462  ",
            "text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th colspan=\"9\" halign=\"left\">frame_total_duration</th>\n    </tr>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th>count</th>\n      <th>mean</th>\n      <th>std</th>\n      <th>min</th>\n      <th>50%</th>\n      <th>75%</th>\n      <th>95%</th>\n      <th>99%</th>\n      <th>max</th>\n    </tr>\n    <tr>\n      <th>test</th>\n      <th>tag</th>\n      <th>kernel</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th rowspan=\"8\" valign=\"top\">list_view</th>\n      <th rowspan=\"8\" valign=\"top\">iter_30</th>\n      <th>pelt8_utilest</th>\n      <td>49095.0</td>\n      <td>2.587300</td>\n      <td>2.247017</td>\n      <td>0.934556</td>\n      <td>1.996357</td>\n      <td>2.815120</td>\n      <td>5.978836</td>\n      <td>8.890425</td>\n      <td>96.793227</td>\n    </tr>\n    <tr>\n      <th>pelt8</th>\n      <td>49080.0</td>\n      <td>2.675738</td>\n      <td>2.313587</td>\n      <td>1.051464</td>\n      <td>2.012889</td>\n      <td>2.929866</td>\n      <td>6.661013</td>\n      <td>8.891076</td>\n      <td>102.011359</td>\n    </tr>\n    <tr>\n      <th>pelt16_utilest</th>\n      <td>49077.0</td>\n      <td>2.692664</td>\n      <td>2.328909</td>\n      <td>0.979835</td>\n      <td>2.022012</td>\n      <td>2.878419</td>\n      <td>6.871684</td>\n      <td>9.120199</td>\n      <td>117.635282</td>\n    </tr>\n    <tr>\n      <th>pelt16</th>\n      <td>49063.0</td>\n      <td>2.701470</td>\n      <td>2.342378</td>\n      <td>0.937495</td>\n      <td>2.017917</td>\n      <td>2.910141</td>\n      <td>6.863145</td>\n      <td>9.103923</td>\n      <td>92.443679</td>\n    </tr>\n    <tr>\n      <th>pelt32_utilest</th>\n      <td>49013.0</td>\n      <td>2.873739</td>\n      <td>2.513258</td>\n      <td>1.001695</td>\n      <td>2.011282</td>\n      <td>3.240138</td>\n      <td>7.080322</td>\n      <td>9.779138</td>\n      <td>75.863075</td>\n    </tr>\n    <tr>\n      <th>pelt32</th>\n      <td>48984.0</td>\n      <td>2.999529</td>\n      <td>2.704403</td>\n      <td>1.040674</td>\n      <td>2.046863</td>\n      <td>3.223249</td>\n      <td>7.771396</td>\n      <td>11.218550</td>\n      <td>71.940356</td>\n    </tr>\n    <tr>\n      <th>walt10</th>\n      <td>48969.0</td>\n      <td>3.103789</td>\n      <td>2.806915</td>\n      <td>1.088194</td>\n      <td>2.093533</td>\n      <td>3.294473</td>\n      <td>7.883534</td>\n      <td>11.145539</td>\n      <td>63.347810</td>\n    </tr>\n    <tr>\n      <th>walt20</th>\n      <td>48961.0</td>\n      <td>3.287754</td>\n      <td>2.921232</td>\n      <td>1.040789</td>\n      <td>2.135702</td>\n      <td>3.712840</td>\n      <td>7.971865</td>\n      <td>11.447494</td>\n      <td>58.896462</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": "2018-01-26 10:49:37,748 INFO    : root         : Results for: edit_text\n"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABEEAAAHxCAYAAACCk6IGAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nYBJEkiRJkiT1wv8DqFGrurhNg7AAAAAASUVORK5CYII=\n",
            "text/plain": "<matplotlib.figure.Figure at 0x7fc3fb5eb850>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "                                 frame_total_duration                      \\\n                                                count      mean       std   \ntest      tag     kernel                                                    \nedit_text iter_30 walt20                       1878.0  7.945263  7.685411   \n                  walt10                       1933.0  7.954073  7.532681   \n                  pelt8_utilest                1888.0  7.982399  9.217712   \n                  pelt16                       1869.0  7.997523  8.829828   \n                  pelt8                        1889.0  8.145236  8.982380   \n                  pelt16_utilest               1925.0  8.160444  9.644655   \n                  pelt32_utilest               2075.0  8.229024  7.247498   \n                  pelt32                       2141.0  8.717893  7.413079   \n\n                                                                           \\\n                                       min       50%       75%        95%   \ntest      tag     kernel                                                    \nedit_text iter_30 walt20          2.977318  5.675896  7.796796  19.258302   \n                  walt10          2.951045  5.814674  8.125367  19.136507   \n                  pelt8_utilest   2.800905  5.838410  8.915758  14.215613   \n                  pelt16          2.705592  5.915530  8.904897  15.632022   \n                  pelt8           2.895702  5.960279  8.978984  16.064909   \n                  pelt16_utilest  2.728228  6.149349  9.208337  14.944150   \n                  pelt32_utilest  3.037868  6.228380  9.101867  16.778881   \n                  pelt32          2.978573  6.550742  9.520538  19.507834   \n\n                                                         \n                                        99%         max  \ntest      tag     kernel                                 \nedit_text iter_30 walt20          56.739071   64.027055  \n                  walt10          56.308585   64.241895  \n                  pelt8_utilest   66.918047  113.317478  \n                  pelt16          62.788317  108.224475  \n                  pelt8           65.363380  106.243736  \n                  pelt16_utilest  65.413281  133.660145  \n                  pelt32_utilest  56.964399   64.545756  \n                  pelt32          57.174733   62.752431  ",
            "text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th colspan=\"9\" halign=\"left\">frame_total_duration</th>\n    </tr>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th>count</th>\n      <th>mean</th>\n      <th>std</th>\n      <th>min</th>\n      <th>50%</th>\n      <th>75%</th>\n      <th>95%</th>\n      <th>99%</th>\n      <th>max</th>\n    </tr>\n    <tr>\n      <th>test</th>\n      <th>tag</th>\n      <th>kernel</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th rowspan=\"8\" valign=\"top\">edit_text</th>\n      <th rowspan=\"8\" valign=\"top\">iter_30</th>\n      <th>walt20</th>\n      <td>1878.0</td>\n      <td>7.945263</td>\n      <td>7.685411</td>\n      <td>2.977318</td>\n      <td>5.675896</td>\n      <td>7.796796</td>\n      <td>19.258302</td>\n      <td>56.739071</td>\n      <td>64.027055</td>\n    </tr>\n    <tr>\n      <th>walt10</th>\n      <td>1933.0</td>\n      <td>7.954073</td>\n      <td>7.532681</td>\n      <td>2.951045</td>\n      <td>5.814674</td>\n      <td>8.125367</td>\n      <td>19.136507</td>\n      <td>56.308585</td>\n      <td>64.241895</td>\n    </tr>\n    <tr>\n      <th>pelt8_utilest</th>\n      <td>1888.0</td>\n      <td>7.982399</td>\n      <td>9.217712</td>\n      <td>2.800905</td>\n      <td>5.838410</td>\n      <td>8.915758</td>\n      <td>14.215613</td>\n      <td>66.918047</td>\n      <td>113.317478</td>\n    </tr>\n    <tr>\n      <th>pelt16</th>\n      <td>1869.0</td>\n      <td>7.997523</td>\n      <td>8.829828</td>\n      <td>2.705592</td>\n      <td>5.915530</td>\n      <td>8.904897</td>\n      <td>15.632022</td>\n      <td>62.788317</td>\n      <td>108.224475</td>\n    </tr>\n    <tr>\n      <th>pelt8</th>\n      <td>1889.0</td>\n      <td>8.145236</td>\n      <td>8.982380</td>\n      <td>2.895702</td>\n      <td>5.960279</td>\n      <td>8.978984</td>\n      <td>16.064909</td>\n      <td>65.363380</td>\n      <td>106.243736</td>\n    </tr>\n    <tr>\n      <th>pelt16_utilest</th>\n      <td>1925.0</td>\n      <td>8.160444</td>\n      <td>9.644655</td>\n      <td>2.728228</td>\n      <td>6.149349</td>\n      <td>9.208337</td>\n      <td>14.944150</td>\n      <td>65.413281</td>\n      <td>133.660145</td>\n    </tr>\n    <tr>\n      <th>pelt32_utilest</th>\n      <td>2075.0</td>\n      <td>8.229024</td>\n      <td>7.247498</td>\n      <td>3.037868</td>\n      <td>6.228380</td>\n      <td>9.101867</td>\n      <td>16.778881</td>\n      <td>56.964399</td>\n      <td>64.545756</td>\n    </tr>\n    <tr>\n      <th>pelt32</th>\n      <td>2141.0</td>\n      <td>8.717893</td>\n      <td>7.413079</td>\n      <td>2.978573</td>\n      <td>6.550742</td>\n      <td>9.520538</td>\n      <td>19.507834</td>\n      <td>57.174733</td>\n      <td>62.752431</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Energy"
    },
    {
      "metadata": {
        "scrolled": false,
        "trusted": true
      },
      "cell_type": "code",
      "source": "for test in collector.tests(workload='jankbench'):\n    logging.info(\"Results for: %s\", test)\n    collector.report(workload='jankbench', metric='device_total_energy',\n                     test=\"^{}$\".format(test), sort_on='mean', ascending=True)",
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": "2018-01-26 10:49:59,566 INFO    : root         : Results for: list_view\n"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABDsAAAHxCAYAAABj+LdXAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAElFTkSuQmCC\n",
            "text/plain": "<matplotlib.figure.Figure at 0x7fc37c6409d0>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "                                 device_total_energy                       \\\n                                               count       mean       std   \ntest      tag     kernel                                                    \nlist_view iter_30 pelt32                        30.0  31.570007  0.129525   \n                  pelt16                        30.0  31.643131  0.504783   \n                  walt20                        30.0  31.944088  0.164585   \n                  walt10                        30.0  32.149872  0.209626   \n                  pelt8                         30.0  32.210904  0.452860   \n                  pelt8_utilest                 30.0  32.264366  0.499537   \n                  pelt16_utilest                30.0  32.354838  0.454803   \n                  pelt32_utilest                30.0  32.696719  0.343959   \n\n                                                                              \\\n                                        min        50%        75%        95%   \ntest      tag     kernel                                                       \nlist_view iter_30 pelt32          31.338347  31.551406  31.668951  31.781616   \n                  pelt16          31.094472  31.426567  32.000650  32.539727   \n                  walt20          31.642005  31.938690  32.010580  32.260047   \n                  walt10          31.837685  32.117532  32.216019  32.570137   \n                  pelt8           31.705175  32.068624  32.611531  32.967118   \n                  pelt8_utilest   31.663815  32.075031  32.709992  33.020470   \n                  pelt16_utilest  31.733667  32.178951  32.573827  33.184559   \n                  pelt32_utilest  31.880067  32.769180  32.811301  33.123423   \n\n                                                        \n                                        99%        max  \ntest      tag     kernel                                \nlist_view iter_30 pelt32          31.798564  31.800685  \n                  pelt16          32.720009  32.783210  \n                  walt20          32.314651  32.329377  \n                  walt10          32.585665  32.589663  \n                  pelt8           33.033078  33.053973  \n                  pelt8_utilest   33.188136  33.253318  \n                  pelt16_utilest  33.317455  33.337378  \n                  pelt32_utilest  33.241774  33.288080  ",
            "text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th colspan=\"9\" halign=\"left\">device_total_energy</th>\n    </tr>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th>count</th>\n      <th>mean</th>\n      <th>std</th>\n      <th>min</th>\n      <th>50%</th>\n      <th>75%</th>\n      <th>95%</th>\n      <th>99%</th>\n      <th>max</th>\n    </tr>\n    <tr>\n      <th>test</th>\n      <th>tag</th>\n      <th>kernel</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th rowspan=\"8\" valign=\"top\">list_view</th>\n      <th rowspan=\"8\" valign=\"top\">iter_30</th>\n      <th>pelt32</th>\n      <td>30.0</td>\n      <td>31.570007</td>\n      <td>0.129525</td>\n      <td>31.338347</td>\n      <td>31.551406</td>\n      <td>31.668951</td>\n      <td>31.781616</td>\n      <td>31.798564</td>\n      <td>31.800685</td>\n    </tr>\n    <tr>\n      <th>pelt16</th>\n      <td>30.0</td>\n      <td>31.643131</td>\n      <td>0.504783</td>\n      <td>31.094472</td>\n      <td>31.426567</td>\n      <td>32.000650</td>\n      <td>32.539727</td>\n      <td>32.720009</td>\n      <td>32.783210</td>\n    </tr>\n    <tr>\n      <th>walt20</th>\n      <td>30.0</td>\n      <td>31.944088</td>\n      <td>0.164585</td>\n      <td>31.642005</td>\n      <td>31.938690</td>\n      <td>32.010580</td>\n      <td>32.260047</td>\n      <td>32.314651</td>\n      <td>32.329377</td>\n    </tr>\n    <tr>\n      <th>walt10</th>\n      <td>30.0</td>\n      <td>32.149872</td>\n      <td>0.209626</td>\n      <td>31.837685</td>\n      <td>32.117532</td>\n      <td>32.216019</td>\n      <td>32.570137</td>\n      <td>32.585665</td>\n      <td>32.589663</td>\n    </tr>\n    <tr>\n      <th>pelt8</th>\n      <td>30.0</td>\n      <td>32.210904</td>\n      <td>0.452860</td>\n      <td>31.705175</td>\n      <td>32.068624</td>\n      <td>32.611531</td>\n      <td>32.967118</td>\n      <td>33.033078</td>\n      <td>33.053973</td>\n    </tr>\n    <tr>\n      <th>pelt8_utilest</th>\n      <td>30.0</td>\n      <td>32.264366</td>\n      <td>0.499537</td>\n      <td>31.663815</td>\n      <td>32.075031</td>\n      <td>32.709992</td>\n      <td>33.020470</td>\n      <td>33.188136</td>\n      <td>33.253318</td>\n    </tr>\n    <tr>\n      <th>pelt16_utilest</th>\n      <td>30.0</td>\n      <td>32.354838</td>\n      <td>0.454803</td>\n      <td>31.733667</td>\n      <td>32.178951</td>\n      <td>32.573827</td>\n      <td>33.184559</td>\n      <td>33.317455</td>\n      <td>33.337378</td>\n    </tr>\n    <tr>\n      <th>pelt32_utilest</th>\n      <td>30.0</td>\n      <td>32.696719</td>\n      <td>0.343959</td>\n      <td>31.880067</td>\n      <td>32.769180</td>\n      <td>32.811301</td>\n      <td>33.123423</td>\n      <td>33.241774</td>\n      <td>33.288080</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": "2018-01-26 10:50:19,989 INFO    : root         : Results for: edit_text\n"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABDwAAAHxCAYAAACBJKwuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrkJggg==\n",
            "text/plain": "<matplotlib.figure.Figure at 0x7fc408e10a50>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "                                 device_total_energy                       \\\n                                               count       mean       std   \ntest      tag     kernel                                                    \nedit_text iter_30 walt20                        30.0   9.968335  0.103194   \n                  walt10                        30.0  10.050248  0.231981   \n                  pelt32_utilest                30.0  10.063218  0.222043   \n                  pelt16                        30.0  10.080125  0.086584   \n                  pelt32                        30.0  10.142805  0.453500   \n                  pelt8                         30.0  10.142833  0.102806   \n                  pelt8_utilest                 30.0  10.186131  0.091252   \n                  pelt16_utilest                30.0  10.227392  0.081702   \n\n                                                                              \\\n                                        min        50%        75%        95%   \ntest      tag     kernel                                                       \nedit_text iter_30 walt20           9.785860   9.955920  10.037364  10.156104   \n                  walt10           9.854292   9.978759  10.072166  10.320098   \n                  pelt32_utilest   9.868813  10.030789  10.079491  10.277808   \n                  pelt16           9.925025  10.072850  10.138336  10.212724   \n                  pelt32           9.713630   9.955250  10.022731  10.996874   \n                  pelt8            9.962450  10.128796  10.181596  10.352051   \n                  pelt8_utilest   10.052150  10.170364  10.222490  10.302178   \n                  pelt16_utilest  10.093390  10.215981  10.294654  10.362971   \n\n                                                        \n                                        99%        max  \ntest      tag     kernel                                \nedit_text iter_30 walt20          10.177178  10.181100  \n                  walt10          10.900327  11.104200  \n                  pelt32_utilest  10.888553  11.105902  \n                  pelt16          10.276878  10.291082  \n                  pelt32          11.143167  11.165100  \n                  pelt8           10.397572  10.409673  \n                  pelt8_utilest   10.462689  10.526060  \n                  pelt16_utilest  10.372560  10.375825  ",
            "text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th colspan=\"9\" halign=\"left\">device_total_energy</th>\n    </tr>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th>count</th>\n      <th>mean</th>\n      <th>std</th>\n      <th>min</th>\n      <th>50%</th>\n      <th>75%</th>\n      <th>95%</th>\n      <th>99%</th>\n      <th>max</th>\n    </tr>\n    <tr>\n      <th>test</th>\n      <th>tag</th>\n      <th>kernel</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th rowspan=\"8\" valign=\"top\">edit_text</th>\n      <th rowspan=\"8\" valign=\"top\">iter_30</th>\n      <th>walt20</th>\n      <td>30.0</td>\n      <td>9.968335</td>\n      <td>0.103194</td>\n      <td>9.785860</td>\n      <td>9.955920</td>\n      <td>10.037364</td>\n      <td>10.156104</td>\n      <td>10.177178</td>\n      <td>10.181100</td>\n    </tr>\n    <tr>\n      <th>walt10</th>\n      <td>30.0</td>\n      <td>10.050248</td>\n      <td>0.231981</td>\n      <td>9.854292</td>\n      <td>9.978759</td>\n      <td>10.072166</td>\n      <td>10.320098</td>\n      <td>10.900327</td>\n      <td>11.104200</td>\n    </tr>\n    <tr>\n      <th>pelt32_utilest</th>\n      <td>30.0</td>\n      <td>10.063218</td>\n      <td>0.222043</td>\n      <td>9.868813</td>\n      <td>10.030789</td>\n      <td>10.079491</td>\n      <td>10.277808</td>\n      <td>10.888553</td>\n      <td>11.105902</td>\n    </tr>\n    <tr>\n      <th>pelt16</th>\n      <td>30.0</td>\n      <td>10.080125</td>\n      <td>0.086584</td>\n      <td>9.925025</td>\n      <td>10.072850</td>\n      <td>10.138336</td>\n      <td>10.212724</td>\n      <td>10.276878</td>\n      <td>10.291082</td>\n    </tr>\n    <tr>\n      <th>pelt32</th>\n      <td>30.0</td>\n      <td>10.142805</td>\n      <td>0.453500</td>\n      <td>9.713630</td>\n      <td>9.955250</td>\n      <td>10.022731</td>\n      <td>10.996874</td>\n      <td>11.143167</td>\n      <td>11.165100</td>\n    </tr>\n    <tr>\n      <th>pelt8</th>\n      <td>30.0</td>\n      <td>10.142833</td>\n      <td>0.102806</td>\n      <td>9.962450</td>\n      <td>10.128796</td>\n      <td>10.181596</td>\n      <td>10.352051</td>\n      <td>10.397572</td>\n      <td>10.409673</td>\n    </tr>\n    <tr>\n      <th>pelt8_utilest</th>\n      <td>30.0</td>\n      <td>10.186131</td>\n      <td>0.091252</td>\n      <td>10.052150</td>\n      <td>10.170364</td>\n      <td>10.222490</td>\n      <td>10.302178</td>\n      <td>10.462689</td>\n      <td>10.526060</td>\n    </tr>\n    <tr>\n      <th>pelt16_utilest</th>\n      <td>30.0</td>\n      <td>10.227392</td>\n      <td>0.081702</td>\n      <td>10.093390</td>\n      <td>10.215981</td>\n      <td>10.294654</td>\n      <td>10.362971</td>\n      <td>10.372560</td>\n      <td>10.375825</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Frames Duration CDF"
    },
    {
      "metadata": {
        "scrolled": false,
        "trusted": true
      },
      "cell_type": "code",
      "source": "for test in collector.tests(workload='jankbench'):\n    logging.info(\"Results for: %s\", test)\n    collector.plot_cdf(workload='jankbench', metric='frame_total_duration',\n                       test=\"^{}$\".format(test), threshold=16)",
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": "2018-01-26 10:50:42,495 INFO    : root         : Results for: list_view\n"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6UAAAGDCAYAAADTS7ZEAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nmb8BDsM24rg/wjEAAAAASUVORK5CYII=\n",
            "text/plain": "<matplotlib.figure.Figure at 0x7fc4f5794c90>"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": "2018-01-26 10:50:45,187 INFO    : root         : Results for: edit_text\n"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6UAAAGDCAYAAADTS7ZEAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nIuIZJaUiIiIiIiLimf8PRYA+UuHEla0AAAAASUVORK5CYII=\n",
            "text/plain": "<matplotlib.figure.Figure at 0x7fc430f95290>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "# Exoplayer"
    },
    {
      "metadata": {
        "collapsed": true,
        "trusted": true
      },
      "cell_type": "code",
      "source": "exoplayer_tags = collector.results_df[collector.results_df.workload == 'exoplayer'].tag.unique().tolist()",
      "execution_count": 12,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Dropper Frames"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "for tag in exoplayer_tags:\n    logging.info(\"Results for: %s : %s\", test, tag)\n    collector.report(workload='exoplayer', metric='exoplayer_dropped_frames',\n                     test=test, tag=tag, sort_on='99%', ascending=True)",
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": "2018-01-26 10:50:47,376 INFO    : root         : Results for: edit_text : mov_720p_30s\n2018-01-26 10:50:51,551 WARNING : WaResultsCollector : No data to plot for (tag: mov_720p_30s, kernel: .*, test: edit_text)\n2018-01-26 10:50:55,710 WARNING : WaResultsCollector : No data to plot for (tag: mov_720p_30s, kernel: .*, test: edit_text)\n"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "None"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": "2018-01-26 10:50:55,712 INFO    : root         : Results for: edit_text : ogg_128kbps_30s\n2018-01-26 10:50:59,847 WARNING : WaResultsCollector : No data to plot for (tag: ogg_128kbps_30s, kernel: .*, test: edit_text)\n2018-01-26 10:51:04,002 WARNING : WaResultsCollector : No data to plot for (tag: ogg_128kbps_30s, kernel: .*, test: edit_text)\n"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "None"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Energy"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "for tag in exoplayer_tags:\n    logging.info(\"Results for: %s : %s\", test, tag)\n    collector.report(workload='exoplayer', metric='device_total_energy',\n                     test='exoplayer', tag=tag, sort_on='mean', ascending=True)",
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": "2018-01-26 10:51:04,008 INFO    : root         : Results for: edit_text : mov_720p_30s\n"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABGkAAAHxCAYAAADeGeEiAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRU5ErkJggg==\n",
            "text/plain": "<matplotlib.figure.Figure at 0x7fc3b512aa50>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "                                      device_total_energy             \\\n                                                    count       mean   \ntest      tag          kernel                                          \nexoplayer mov_720p_30s walt20                         5.0  32.943703   \n                       pelt32                         5.0  33.078788   \n                       pelt32_utilest                 5.0  33.186321   \n                       walt10                         5.0  33.238968   \n                       pelt16                         5.0  34.897240   \n                       pelt8                          5.0  35.344775   \n                       pelt16_utilest                 5.0  35.566039   \n                       pelt8_utilest                  5.0  35.923234   \n\n                                                                       \\\n                                            std        min        50%   \ntest      tag          kernel                                           \nexoplayer mov_720p_30s walt20          0.200239  32.790037  32.874408   \n                       pelt32          0.344682  32.788575  32.958060   \n                       pelt32_utilest  0.222656  32.939290  33.195000   \n                       walt10          0.169448  33.036522  33.196550   \n                       pelt16          0.576750  34.436225  34.758695   \n                       pelt8           0.213717  35.139418  35.286780   \n                       pelt16_utilest  0.213777  35.348083  35.607337   \n                       pelt8_utilest   0.249041  35.642640  35.853303   \n\n                                                                        \\\n                                             75%        95%        99%   \ntest      tag          kernel                                            \nexoplayer mov_720p_30s walt20          32.894880  33.214838  33.278830   \n                       pelt32          33.158262  33.544846  33.622163   \n                       pelt32_utilest  33.207928  33.467706  33.519661   \n                       walt10          33.337325  33.445817  33.467515   \n                       pelt16          34.794857  35.676614  35.852965   \n                       pelt8           35.329242  35.630342  35.690562   \n                       pelt16_utilest  35.618020  35.824794  35.866149   \n                       pelt8_utilest   36.075200  36.230358  36.261390   \n\n                                                  \n                                             max  \ntest      tag          kernel                     \nexoplayer mov_720p_30s walt20          33.294828  \n                       pelt32          33.641492  \n                       pelt32_utilest  33.532650  \n                       walt10          33.472940  \n                       pelt16          35.897053  \n                       pelt8           35.705617  \n                       pelt16_utilest  35.876488  \n                       pelt8_utilest   36.269147  ",
            "text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th colspan=\"9\" halign=\"left\">device_total_energy</th>\n    </tr>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th>count</th>\n      <th>mean</th>\n      <th>std</th>\n      <th>min</th>\n      <th>50%</th>\n      <th>75%</th>\n      <th>95%</th>\n      <th>99%</th>\n      <th>max</th>\n    </tr>\n    <tr>\n      <th>test</th>\n      <th>tag</th>\n      <th>kernel</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th rowspan=\"8\" valign=\"top\">exoplayer</th>\n      <th rowspan=\"8\" valign=\"top\">mov_720p_30s</th>\n      <th>walt20</th>\n      <td>5.0</td>\n      <td>32.943703</td>\n      <td>0.200239</td>\n      <td>32.790037</td>\n      <td>32.874408</td>\n      <td>32.894880</td>\n      <td>33.214838</td>\n      <td>33.278830</td>\n      <td>33.294828</td>\n    </tr>\n    <tr>\n      <th>pelt32</th>\n      <td>5.0</td>\n      <td>33.078788</td>\n      <td>0.344682</td>\n      <td>32.788575</td>\n      <td>32.958060</td>\n      <td>33.158262</td>\n      <td>33.544846</td>\n      <td>33.622163</td>\n      <td>33.641492</td>\n    </tr>\n    <tr>\n      <th>pelt32_utilest</th>\n      <td>5.0</td>\n      <td>33.186321</td>\n      <td>0.222656</td>\n      <td>32.939290</td>\n      <td>33.195000</td>\n      <td>33.207928</td>\n      <td>33.467706</td>\n      <td>33.519661</td>\n      <td>33.532650</td>\n    </tr>\n    <tr>\n      <th>walt10</th>\n      <td>5.0</td>\n      <td>33.238968</td>\n      <td>0.169448</td>\n      <td>33.036522</td>\n      <td>33.196550</td>\n      <td>33.337325</td>\n      <td>33.445817</td>\n      <td>33.467515</td>\n      <td>33.472940</td>\n    </tr>\n    <tr>\n      <th>pelt16</th>\n      <td>5.0</td>\n      <td>34.897240</td>\n      <td>0.576750</td>\n      <td>34.436225</td>\n      <td>34.758695</td>\n      <td>34.794857</td>\n      <td>35.676614</td>\n      <td>35.852965</td>\n      <td>35.897053</td>\n    </tr>\n    <tr>\n      <th>pelt8</th>\n      <td>5.0</td>\n      <td>35.344775</td>\n      <td>0.213717</td>\n      <td>35.139418</td>\n      <td>35.286780</td>\n      <td>35.329242</td>\n      <td>35.630342</td>\n      <td>35.690562</td>\n      <td>35.705617</td>\n    </tr>\n    <tr>\n      <th>pelt16_utilest</th>\n      <td>5.0</td>\n      <td>35.566039</td>\n      <td>0.213777</td>\n      <td>35.348083</td>\n      <td>35.607337</td>\n      <td>35.618020</td>\n      <td>35.824794</td>\n      <td>35.866149</td>\n      <td>35.876488</td>\n    </tr>\n    <tr>\n      <th>pelt8_utilest</th>\n      <td>5.0</td>\n      <td>35.923234</td>\n      <td>0.249041</td>\n      <td>35.642640</td>\n      <td>35.853303</td>\n      <td>36.075200</td>\n      <td>36.230358</td>\n      <td>36.261390</td>\n      <td>36.269147</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": "2018-01-26 10:51:08,693 INFO    : root         : Results for: edit_text : ogg_128kbps_30s\n"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABHsAAAHxCAYAAAD9QrD3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nEREREREREdFF/g/yE9EB70pP8wAAAABJRU5ErkJggg==\n",
            "text/plain": "<matplotlib.figure.Figure at 0x7fc42f32e110>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "                                         device_total_energy             \\\n                                                       count       mean   \ntest      tag             kernel                                          \nexoplayer ogg_128kbps_30s pelt32                         5.0  26.649007   \n                          walt20                         5.0  26.651485   \n                          walt10                         5.0  26.731633   \n                          pelt32_utilest                 5.0  26.844150   \n                          pelt16                         5.0  27.261736   \n                          pelt8                          5.0  27.526627   \n                          pelt16_utilest                 5.0  27.764499   \n                          pelt8_utilest                  5.0  27.874159   \n\n                                                                          \\\n                                               std        min        50%   \ntest      tag             kernel                                           \nexoplayer ogg_128kbps_30s pelt32          0.061967  26.603675  26.626422   \n                          walt20          0.073206  26.544147  26.663065   \n                          walt10          0.129431  26.564335  26.769367   \n                          pelt32_utilest  0.071781  26.730557  26.869682   \n                          pelt16          0.138223  27.143020  27.246895   \n                          pelt8           0.052736  27.445150  27.535338   \n                          pelt16_utilest  0.154244  27.552020  27.855542   \n                          pelt8_utilest   0.179784  27.698450  27.836305   \n\n                                                                           \\\n                                                75%        95%        99%   \ntest      tag             kernel                                            \nexoplayer ogg_128kbps_30s pelt32          26.633265  26.733129  26.753102   \n                          walt20          26.663255  26.731673  26.745357   \n                          walt10          26.777825  26.875395  26.894909   \n                          pelt32_utilest  26.875355  26.910933  26.918049   \n                          pelt16          27.248733  27.445759  27.485164   \n                          pelt8           27.548455  27.580411  27.586802   \n                          pelt16_utilest  27.872228  27.889556  27.893021   \n                          pelt8_utilest   27.978672  28.098794  28.122819   \n\n                                                     \n                                                max  \ntest      tag             kernel                     \nexoplayer ogg_128kbps_30s pelt32          26.758095  \n                          walt20          26.748778  \n                          walt10          26.899787  \n                          pelt32_utilest  26.919828  \n                          pelt16          27.495015  \n                          pelt8           27.588400  \n                          pelt16_utilest  27.893888  \n                          pelt8_utilest   28.128825  ",
            "text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th colspan=\"9\" halign=\"left\">device_total_energy</th>\n    </tr>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th>count</th>\n      <th>mean</th>\n      <th>std</th>\n      <th>min</th>\n      <th>50%</th>\n      <th>75%</th>\n      <th>95%</th>\n      <th>99%</th>\n      <th>max</th>\n    </tr>\n    <tr>\n      <th>test</th>\n      <th>tag</th>\n      <th>kernel</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th rowspan=\"8\" valign=\"top\">exoplayer</th>\n      <th rowspan=\"8\" valign=\"top\">ogg_128kbps_30s</th>\n      <th>pelt32</th>\n      <td>5.0</td>\n      <td>26.649007</td>\n      <td>0.061967</td>\n      <td>26.603675</td>\n      <td>26.626422</td>\n      <td>26.633265</td>\n      <td>26.733129</td>\n      <td>26.753102</td>\n      <td>26.758095</td>\n    </tr>\n    <tr>\n      <th>walt20</th>\n      <td>5.0</td>\n      <td>26.651485</td>\n      <td>0.073206</td>\n      <td>26.544147</td>\n      <td>26.663065</td>\n      <td>26.663255</td>\n      <td>26.731673</td>\n      <td>26.745357</td>\n      <td>26.748778</td>\n    </tr>\n    <tr>\n      <th>walt10</th>\n      <td>5.0</td>\n      <td>26.731633</td>\n      <td>0.129431</td>\n      <td>26.564335</td>\n      <td>26.769367</td>\n      <td>26.777825</td>\n      <td>26.875395</td>\n      <td>26.894909</td>\n      <td>26.899787</td>\n    </tr>\n    <tr>\n      <th>pelt32_utilest</th>\n      <td>5.0</td>\n      <td>26.844150</td>\n      <td>0.071781</td>\n      <td>26.730557</td>\n      <td>26.869682</td>\n      <td>26.875355</td>\n      <td>26.910933</td>\n      <td>26.918049</td>\n      <td>26.919828</td>\n    </tr>\n    <tr>\n      <th>pelt16</th>\n      <td>5.0</td>\n      <td>27.261736</td>\n      <td>0.138223</td>\n      <td>27.143020</td>\n      <td>27.246895</td>\n      <td>27.248733</td>\n      <td>27.445759</td>\n      <td>27.485164</td>\n      <td>27.495015</td>\n    </tr>\n    <tr>\n      <th>pelt8</th>\n      <td>5.0</td>\n      <td>27.526627</td>\n      <td>0.052736</td>\n      <td>27.445150</td>\n      <td>27.535338</td>\n      <td>27.548455</td>\n      <td>27.580411</td>\n      <td>27.586802</td>\n      <td>27.588400</td>\n    </tr>\n    <tr>\n      <th>pelt16_utilest</th>\n      <td>5.0</td>\n      <td>27.764499</td>\n      <td>0.154244</td>\n      <td>27.552020</td>\n      <td>27.855542</td>\n      <td>27.872228</td>\n      <td>27.889556</td>\n      <td>27.893021</td>\n      <td>27.893888</td>\n    </tr>\n    <tr>\n      <th>pelt8_utilest</th>\n      <td>5.0</td>\n      <td>27.874159</td>\n      <td>0.179784</td>\n      <td>27.698450</td>\n      <td>27.836305</td>\n      <td>27.978672</td>\n      <td>28.098794</td>\n      <td>28.122819</td>\n      <td>28.128825</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "# Homescreen"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "for test in collector.tests(workload='homescreen'):\n    logging.info(\"Results for: %s\", test)\n    collector.report(workload='homescreen', metric='device_total_energy',\n                     test=test, sort_on='mean', ascending=True)",
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": "2018-01-26 10:51:15,211 INFO    : root         : Results for: homescreen\n"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABE4AAAHxCAYAAABzmPmLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n",
            "text/plain": "<matplotlib.figure.Figure at 0x7fc4dd9a5cd0>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "                                  device_total_energy                      \\\n                                                count      mean       std   \ntest       tag     kernel                                                   \nhomescreen sit_15s pelt32_utilest                 5.0  9.300251  0.432374   \n                   pelt32                         5.0  9.392601  0.290726   \n                   pelt16                         5.0  9.526986  0.235653   \n                   pelt8_utilest                  5.0  9.671034  0.210079   \n                   walt10                         5.0  9.684459  0.337595   \n                   pelt16_utilest                 5.0  9.724771  0.371630   \n                   pelt8                          5.0  9.802120  0.148491   \n                   walt20                         5.0  9.802611  0.229943   \n\n                                                                             \\\n                                        min       50%        75%        95%   \ntest       tag     kernel                                                     \nhomescreen sit_15s pelt32_utilest  8.669477  9.447305   9.504817   9.734239   \n                   pelt32          8.925823  9.407198   9.621510   9.644538   \n                   pelt16          9.244837  9.450192   9.678952   9.811855   \n                   pelt8_utilest   9.408912  9.643635   9.737630   9.931300   \n                   walt10          9.148643  9.861857   9.885895   9.951893   \n                   pelt16_utilest  9.386227  9.509890  10.067490  10.161566   \n                   pelt8           9.584117  9.822893   9.913305   9.946735   \n                   walt20          9.545383  9.883820   9.933957  10.043104   \n\n                                                         \n                                         99%        max  \ntest       tag     kernel                                \nhomescreen sit_15s pelt32_utilest   9.780124   9.791595  \n                   pelt32           9.649144   9.650295  \n                   pelt16           9.838435   9.845080  \n                   pelt8_utilest    9.970034   9.979717  \n                   walt10           9.965093   9.968393  \n                   pelt16_utilest  10.180381  10.185085  \n                   pelt8            9.953421   9.955093  \n                   walt20          10.064933  10.070390  ",
            "text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th colspan=\"9\" halign=\"left\">device_total_energy</th>\n    </tr>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th>count</th>\n      <th>mean</th>\n      <th>std</th>\n      <th>min</th>\n      <th>50%</th>\n      <th>75%</th>\n      <th>95%</th>\n      <th>99%</th>\n      <th>max</th>\n    </tr>\n    <tr>\n      <th>test</th>\n      <th>tag</th>\n      <th>kernel</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th rowspan=\"8\" valign=\"top\">homescreen</th>\n      <th rowspan=\"8\" valign=\"top\">sit_15s</th>\n      <th>pelt32_utilest</th>\n      <td>5.0</td>\n      <td>9.300251</td>\n      <td>0.432374</td>\n      <td>8.669477</td>\n      <td>9.447305</td>\n      <td>9.504817</td>\n      <td>9.734239</td>\n      <td>9.780124</td>\n      <td>9.791595</td>\n    </tr>\n    <tr>\n      <th>pelt32</th>\n      <td>5.0</td>\n      <td>9.392601</td>\n      <td>0.290726</td>\n      <td>8.925823</td>\n      <td>9.407198</td>\n      <td>9.621510</td>\n      <td>9.644538</td>\n      <td>9.649144</td>\n      <td>9.650295</td>\n    </tr>\n    <tr>\n      <th>pelt16</th>\n      <td>5.0</td>\n      <td>9.526986</td>\n      <td>0.235653</td>\n      <td>9.244837</td>\n      <td>9.450192</td>\n      <td>9.678952</td>\n      <td>9.811855</td>\n      <td>9.838435</td>\n      <td>9.845080</td>\n    </tr>\n    <tr>\n      <th>pelt8_utilest</th>\n      <td>5.0</td>\n      <td>9.671034</td>\n      <td>0.210079</td>\n      <td>9.408912</td>\n      <td>9.643635</td>\n      <td>9.737630</td>\n      <td>9.931300</td>\n      <td>9.970034</td>\n      <td>9.979717</td>\n    </tr>\n    <tr>\n      <th>walt10</th>\n      <td>5.0</td>\n      <td>9.684459</td>\n      <td>0.337595</td>\n      <td>9.148643</td>\n      <td>9.861857</td>\n      <td>9.885895</td>\n      <td>9.951893</td>\n      <td>9.965093</td>\n      <td>9.968393</td>\n    </tr>\n    <tr>\n      <th>pelt16_utilest</th>\n      <td>5.0</td>\n      <td>9.724771</td>\n      <td>0.371630</td>\n      <td>9.386227</td>\n      <td>9.509890</td>\n      <td>10.067490</td>\n      <td>10.161566</td>\n      <td>10.180381</td>\n      <td>10.185085</td>\n    </tr>\n    <tr>\n      <th>pelt8</th>\n      <td>5.0</td>\n      <td>9.802120</td>\n      <td>0.148491</td>\n      <td>9.584117</td>\n      <td>9.822893</td>\n      <td>9.913305</td>\n      <td>9.946735</td>\n      <td>9.953421</td>\n      <td>9.955093</td>\n    </tr>\n    <tr>\n      <th>walt20</th>\n      <td>5.0</td>\n      <td>9.802611</td>\n      <td>0.229943</td>\n      <td>9.545383</td>\n      <td>9.883820</td>\n      <td>9.933957</td>\n      <td>10.043104</td>\n      <td>10.064933</td>\n      <td>10.070390</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "# PCMark Scores"
    },
    {
      "metadata": {
        "collapsed": true,
        "trusted": true
      },
      "cell_type": "code",
      "source": "pm_df = df[df.workload == 'pcmark']\npm_scores = [m for m in pm_df.metric.unique().tolist() if m.startswith('pcmark_')]",
      "execution_count": 16,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Overall Score"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "collector.report(workload='pcmark', metric='pcmark_Workv2',\n                 sort_on='mean', ascending=False);",
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABCMAAAHxCAYAAABXgXZLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4wLCBo\ndHRwOi8vbWF0cGxvdGxpYi5vcmcvpW3flQAAIABJREFUeJzs3X+0X1V95//nywQFARHFUk1lMoqO\nwVBQ8bdo6LDQfnEQLZVh1BqhOraOFv1KjQtF0TKm2sEySE0tKDq2UQsIfI0DCBJIETQYCKDREW2o\n1SpBkSEQND/e3z/OvvDJ5d7c3OTm3HuT52Otuz7n7M85e+9zdu5a+bzu3ueTqkKSJEmSJKkvj5js\nDkiSJEmSpF2LYYQkSZIkSeqVYYQkSZIkSeqVYYQkSZIkSeqVYYQkSZIkSeqVYYQkSZIkSeqVYYQk\nSdrpJPlgks9Pdj+2R5LZSSrJzMnuy6DWpwMnux+SpOnNMEKSJGknkeTyJO8Z2J/VwoORyn67x349\nKsl5Se5Icm+Sm5P8fl/tS5KmHsMISZK0U5lqMwm2xXZcw7XASwf2Xwp8b4SyH1TVz3rqE8BM4MfA\ny4B9gPcBX0oyezvqlCRNY4YRkiRpuyRZneS9Sb6b5O4kn0mye3vvVe2v4P83yQ+TvKKVL03yF0m+\nkWRtkv8vyeOT/H07dvngB9UkZyX5cXvv20kOH3jvg0kuSPL5JP8XmD+sf7slWZzkwiSPHKH/Q+d/\nsf3VfkWSQwbef3KSi5KsSfKLJJ9o5fOTXJfk40l+leRHSV7Uyn+c5M4kbxyo5+gkN7Vr+HGSDw68\nN7Qk46Qk/wJ8fYR+/kG713O3MBzXAi9OMvR/vMOBvwYOG1Z27UC9b05ye5JfJrk0yZMG3qskb0vy\nA+AHI/TpJe1a5iX5ZJK/Gvb+JUneVVX3VdUHq2p1VW2qqq8A/ww8ZwvXIknaiRlGSJKkifA64OXA\nU4GnA+9L8jzgc8ApwGPp/iK/euCc/wy8AZjVzrse+AzwOGAV8IGBY5cDh7b3/gH4x6HAo3kVcEFr\n5++HCpPsAVwM/Bp4bVX9pn2A/tWw/r8K+MeB+i9uIcYM4CvAHcDs1tcvDJz3fOAW4PHtvC8AzwUO\nBF4PfCLJXu3Y+4A/an08GviTJMcO68fLgDntXj4oyZuAvwSOrKrbGN23gEcBQ2HKS4GvAbcPK7u2\n1ft7wEeA1wJPbNc5eH0Ax7brPGhYn14BLAb+oKqWtu3jk6S9vy9w1Aj1kWR/un8n39nCtUiSdmKG\nEZIkaSJ8oqp+XFW/BM4ATgBOAj5dVV9rfw3/SVV9b+Ccz1TVD6vqHuB/Az+sqiuragNdMPCsoQOr\n6vNV9Yuq2lBV/4PuA/d/GKjr+qq6uLWzrpU9BrgM+CHwpqra2Or6p6p67LD+f7uqLqiq9cCZwO7A\nC4DnAU8CTml/3X+gqv5p4Lx/rqrPtLq/CDwZ+FBV/bqqrgB+QxdMUFVLq+rW1sdb6D68v2xYPz7Y\n2lk3UHYyXaAzr6puH3UEujZ+DXwTeGmSxwH7VNWPgGUDZQcB17RTXkc3Rivaue8FXjhs+cRHquqX\nw/r0h8DfAr9fVd9qZcuAopt5AXAc3bj8dLCPSXajC4w+O+zfgyRpF2IYIUmSJsKPB7bvoPsA/2S6\nIGA0Px/YXjfC/tCMApK8O8mqJPe0WQ37APuN0v6QFwC/Cyysqtra/lfVJuBfB67hjhaQbM01UFUj\nXkeS5ye5ui33uAd467BrGO06TgHOqap/HeMahgw9N+Jw4LpW9k8DZT+uqjta+ZPoxovW97XAL+hm\ngGypTycDXxqcpdHu8RfogiiA/8LALBWAtlTkf9GFNP9tK69HkrQTMoyQJEkT4ckD2wcAP6X7EPvU\n7a24PR/iz+mWEuzbZjXcA2TgsJHChivoliBc1ZYFbMmD/W8fmH+Hh67hgAl6KOY/AJcCT66qfYBF\nbH4NMPJ1HEW37OUPtrKda+lCh5fSzVaALpR4MQNLNJqfAv9uaCfJnnRLTn4yRp/+EDg2yZ8NK18M\nHJfk39Et7bhwoO4A5wH70y3tWL+V1yNJ2gkZRkiSpInwtiS/05YBnEq3ZOE84E1J/mOSR6T7Ssln\nbEPdewMbgDXAzCSn0S3BGFNVfZQuBLgqyfBZCIOek+Q1LXQ4me4ZEzfQPYPh34CFSfZMsnuSF2/D\nNQxdxy+r6oH2PI3/spXnfQd4BXBOkmO24vjr6Z5L8XpaGFFVd9Pdv9ezeRixmG6MDk3yKOC/A9+s\nqtVjtPFT4D8Cf5bkT4YKq+om4C7gXODyqhp8Nscn6Z6H8Z+GLfmQJO2CDCMkSdJE+Ae6mQg/olua\n8RftWQJvAj5ON5PhGgb+Cj8Ol9M9++H/0C0peICRlw6MqKo+TPcQyyuTPC7J4UnWDjvsEuB44G66\nh2q+pqrWt2dB/Ce65z78C93yjeO34RoA/hT4UJJ7gdOAL43jGlYCrwT+Lsnvj3HsfcC3gUcCgw+7\nXAb8FgNhRFVdCbyfbgbDv9HNZPnPW9mnf6ELJBYk+eOBt/4BOLK9AtBmSvxXuoeQ/izdN6isTfK6\nrWlLkrTzydhLKCVJkkaXZDXwx+2D7bTTvmLzwKp6/WT3RZKkXYUzIyRJkiRJUq8MIyRJkqaRJK8b\nWOYw+POdye6bJElby2UakiRJkiSpV86MkCRJkiRJvTKMkCRJkiRJvZo52R3QrmW//far2bNnT0rb\n9913H3vuueektK2xOT5Tm+MztTk+U5vjM7U5PlOb4zO1OT5T22SNz7e//e27quoJYx1nGKFezZ49\nmxtvvHFS2l66dCnz5s2blLY1NsdnanN8pjbHZ2pzfKY2x2dqc3ymNsdnapus8Ulyx9Yc5zINSZIk\nSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLU\nK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUq5mT3QFJkiRJkibD\nIadfwT3r1o/rnL3nLODeVQsf3N9nj91Y+YGjJrprOz3DCEmSJEnSLumedetZvfDocZ1z8GcXbHbO\n7AVLJrpbuwSXaUiSJEmSpF4ZRkiSJEmSpF4ZRkiSJEmSpF4ZRkiSJEmSpF4ZRkiSJEmSpowkk92F\n3u2K12wYIUmSJEmSemUYIUmSJEmSemUYIUmSJEmSejVmGJFkjyTXJJkxkQ0nWTsBdXwoyZGT2Ydx\ntDU/ySfa9rFJDhp47w+TfCfJpiSHDTvvd5Nc396/Ncnu29D28PYevG9Jlg5vcxvr/KskvzfeeiRJ\nkiRpKllz/xrmXzafu9bdNdld2altzcyIE4GLqmrjRDSYzoTMyKiq06rqyomoq2fHAgcN7N8GvAa4\ndvCgJDOBzwNvrapnAvOA9dvb3gTdt+HXcDawYDvrlCRJkqRJteiWRaz4+QoWrVw02V3ZqW1NKPA6\n4BKAJOckOaZtfznJp9v2iUnOaNvvSnJb+zm5lc1O8v0kn6P74P3kocqT7Nf+8n/0aB1IMiPJ+a3O\nW5O8s5Wfn+S4tr06yelJVrRjntHKn5Dka21mwblJ7kiy3whtnJJkeZJbkpw+1k1p7X20tfWtJAcO\ntHdhq2t5khcPO+9FwDHAx5LcnOSpVbWqqr4/QjNHAbdU1UqAqvrFlkKhwZkeSY5r9+dh7Q3et2Hn\nH9XGYkWSf0yyVytfmOS77d781SjXcAfw+CS/Pda9kyRJkqSpaM39a7jk9ksoiotvv9jZETvQzC29\nmeSRwFOqanUrWgYcDlwKzAKe2MoPB76Q5DnAm4DnAwG+meQa4G7gacAbq+qGVjdJ9m91va+qvraF\nrhwKzKqque3cx45y3F1V9ewkfwq8G/hj4APA16vqI0leAZw0wnUe1fr3vNbvS5O8tKquHX7sMPdU\n1cFJ/gj4a+CVwFnAx6vqn5IcAFwOzBk6oaq+keRS4CtVdcEY9T8dqCSXA08AvlBVHx3jnM2M1N5I\nXxvTApr3AUdW1X1J3gO8K8k5wKuBZ1RVJXlsVf1qlGtYAbwYuHBY3W8B3gKw//77s3Tp0vFcwoRZ\nu3btpLWtsTk+U5vjM7U5PlOb4zO1OT5Tm+Mzte3I8Zm9YMkOqXckg9fwxV98kQ0bNwCwYeMG3v/V\n93P844/f4jkwMf2d6Hs51X9/thhGAPsBvxrYXwac3J4V8F1g3yRPBF4IvINuSceXq+o+gCQX8VB4\nccdQENHsBlwFvK2qrhmjHz8CnpLkbGAJcMUox13UXr9Nt+wB4CV0H6apqsuS3D3CeUe1n5va/l50\n4cRYYcTigdePt+0jgYMGPvA/ZmiGwTaYSdf/5wL3A1cl+XZVXbWN9W3JC+iWXVzX+v5I4HrgHuAB\n4LwkXwG+soU67gSeNLywqj4FfArgsMMOq3nz5k1ox7fW0qVLmay2NTbHZ2pzfKY2x2dqc3ymNsdn\nanN8prYdOT6rF446cX5CzV6w5MFrWHP/GpZftJyNdJPRN7KR5euW8+Hnf5j99hiYXP9ZNr/uy5Zs\nd3/zl0z4vZzqvz9jLdNYBzz4wMSq+gnwWOAVdB/UlwGvBdZW1b1j1HXfsP0NdKHBy8fqZFXdDRwC\nLAXeCpw7yqG/bq8bGTtoGRTgI1V1aPs5sKrO24rzaoTtRwAvGKhrVlVt64My/xW4tqruqqr7ga8C\nz97K/oz3QZcBvjbQ74Oq6qSq2kA3Y+QCupkfl22hjt3p/s1IkiRJ0rSy6JZFbKpNm5Vtqk0+O2IH\n2WIY0UKAGcO+weEG4GQeCiPe3V5pr8cmeXSSPelmJCxjZEU3k+IZbUkAAEm+N/zAtoTgEVV1Id1S\ngi19IB/uOrrAZGg5xr4jHHM5cOLAMxJmJfmttn1Vklmj1H38wOv1bfsK4O0DfT90hPPuBfbeir5f\nDhzc7udM4GV0M1JG8/Mkc9oDQl89zvZuAF488OyLPZM8vd2Tfarqq8A76UKh0ep8Ot0zQSRJkiRp\nWll550rWb9r8+wLWb1rPzXfePEk92rltzeyBK+iWCgx9+8Iy4Kiquj3JHcDjWhlVtSLJ+cC32rHn\nVtVNSWaPVHFVbUxyAt0zGu4FvkT3F/rhZgGfyUPfwvHerej3kNOBxUneQBcY/Izug/RgP65IMge4\nvi1RWAu8PsldwIHAL0epe98kt9DNyDihlb0DOKeVz6QLbd467LwvAH+X5B3AccDv0n0bxROAJUlu\nrqqXV9XdSc4EltOFN1+tqi0tRlpAt4xiDXAj3XKTkdp7mKpak2Q+3b16VCt+H929uqQFUgHeNUqd\n/0J3r27cQv8kSZIkaUq64JixHumnibQ1YcQ5dH8RvxKgLV84r22vB/YcPLiqzgTOHFa2Gpg7rGyv\n9vpr2lKNJK9s7THs2JWMMBuiquYPbM8e2L6R7mswoXvmwcurakOSFwLPbW0+2Ie2fRbdwycflGQu\ncGFVjbb04GNV9Z7Bgqq6i4dmTAyWnw+c37avY/Ovxfwh8OWRGqiqz9N9veeY2sMkH/YbNEJ78wfe\nmzew/XW651MM97yx6kzyauCCtqxDkiRJkqRRjRlGtNkOVyeZsaWvlZwIVbWlhyNuqwOAL7VZFb8B\n3jyO/tzGQzMBtGUzgf8x2Z2QJEmSJE19W/WQx6r69I7uyI5SVT8AnrUD6p090XVurSTfBB41rPgN\nVXXrZPQHoKr+cbLaliRJkiRNL+P5xglNEVX1/MnugyRJkiTtCFU19kE7mV3xmsf6ak9JkiRJkqQJ\nZRghSZIkSZJ6ZRghSZIkSZJ6ZRghSZIkSZJ6ZRghSZIkSZJ65bdpSJIkSZJ2WbMXLBnX8XvP2fyc\nffbYbaK7tEswjJAkSZIk7ZJWLzx6G87alnM0nMs0JEmSJElSrwwjJEmSJElSrwwjJEmSJElSrwwj\nJEmSJElSrwwjJEmSJElSrwwjJEmSJElSrwwjJEmSJElSrwwjJEmSJElSrwwjJEmSJElSrwwjJEmS\nJElSrwwjJEmSJElSrwwjJEmSJElSrwwjJEmSJElSrwwjJEmSJElSrwwjJEmSJElSrwwjJEmSJElS\nrwwjJEmSJElSrwwjJEmSJElSrwwjJEmSJElSrwwjJEmSJElSrwwjJEmSJElSrwwjJEmSJElSrwwj\nJEmSJElSrwwjJEmSJElSrwwjJEmSJElSr2ZOdgckSZIkSRqvQ06/gnvWrZ+Quvaes4B7Vy3c4jH7\n7LEbKz9w1IS0J8MISZIkSdI0dM+69axeePSE1HXwZxeMWdfsBUsmpC11XKYhSZIkSZJ6ZRghSZIk\nSZJ6ZRghSZIkSZJ6ZRghSZIkSZJ6ZRghSZIkSZJ6ZRghSZIkSepVksnuwrS1s9w7wwhJkiRJktQr\nwwhJkiRJktQrwwhJkiRJktSr7QojkuyR5JokMyaqQ63etRNQx4eSHDmZfRhHW/OTfKJtH5vkoIH3\nDk1yQ5Kbk9yY5HnbUP9jk/zpwP6TklzQtucl+coE1PmEJJeNtx5JkiRJmixr7l/D/MvmT3Y3dknb\nOzPiROCiqto4EZ1JZ0Jma1TVaVV15UTU1bNjgYMG9j8KnF5VhwKntf3xeizwYHBQVT+tquO2q5cP\nr3MN8G9JXryd9UqSJElSLxbdsogVP18x2d3YJW3vB//XAZcAJDknyTFt+8tJPt22T0xyRtt+V5Lb\n2s/JrWx2ku8n+RxwG/DkocqT7Jfk+iRHj9aBJDOSnN/qvDXJO1v5+UmOa9urk5yeZEU75hmt/AlJ\nvpbkO0nOTXJHkv1GaOOUJMuT3JLk9LFuSmvvo62tbyU5cKC9C1tdy4d/cE/yIuAY4GNtJsRTgQIe\n0w7ZB/jpFtr9YJJ3D+zflmQ2sBB4aqvzY+2e3zbC+Xsm+XTr801JXtXKn9nKbm734GnD62xVXEz3\nb0KSJEmSprQ196/hktsvoSgA7lp31yT3aNcyc1tPTPJI4ClVtboVLQMOBy4FZgFPbOWHA19I8hzg\nTcDzgQDfTHINcDfwNOCNVXVDq5sk+7e63ldVX9tCVw4FZlXV3HbuY0c57q6qenZbWvBu4I+BDwBf\nr6qPJHkFcNII13lU69/zWr8vTfLSqrp2y3eIe6rq4CR/BPw18ErgLODjVfVPSQ4ALgfmDJ1QVd9I\ncinwlaoaWkZxMnB5kr+iC49eNEa7I1kAzG2zK2gBxUhOpbsfJ7b7+K0kVwJvBc6qqr9v4z5jeJ3N\njcBfDK80yVuAtwDsv//+LF26dBsuYfutXbt20trW2Byfqc3xmdocn6nN8ZnaHJ+pzfGZ2rZ3fGYv\nWLLdfdie9r/4iy+yYeOGB/ff/9X3c/zjj9/iORPR54mwNdc91X9/tjmMAPYDfjWwvww4uT3v4LvA\nvkmeCLwQeAfdko4vV9V9AEku4qHw4o6hIKLZDbgKeFtVXTNGP34EPCXJ2cAS4IpRjruovX4beE3b\nfgnwaoCquizJ3SOcd1T7uant70UXTowVRiweeP142z4SOCgPfS/sY5LsNUY9fwK8s6ouTPJa4LxW\nz45wFHDMwOyK3YEDgOuBU5P8Dt2ynB9k5O+2vRN40vDCqvoU8CmAww47rObNm7cDuj62pUuXMllt\na2yOz9Tm+Extjs/U5vhMbY7P1Ob4TG3bOz6rF446AX6rzF6wZJvbX3P/GpZftJyNPPTEgeXrlvPh\n53+Y/fZ42GT5zmVLtrvPEyF/yVZd91T//dmeZRrr6D6sAlBVP6F7jsAr6D6oLwNeC6ytqnvHqOu+\nYfsb6EKDl4/Viaq6GzgEWEr3F/xzRzn01+11I+MLYQJ8pKoObT8HVtV5W3FejbD9COAFA3XNqqqx\nHpT5Rh4KUv6RbobGaDaw+ZjuPtqBowjwBwP9O6CqVlXVP9AtH1kHfDXJ741y/u7tGEmSJEmashbd\nsohNtWmzsk21iUUrF01Sj3Y92xxGtBBgRpLBD7w3ACfzUBjx7vZKez02yaOT7Ek3I2EZIyu6mRTP\nSPKeocIk3xt+YHvGwyOq6kLgfcCzx3EZ19EFJkPLMfYd4ZjLgROHZjAkmZXkt9r2VUlmjVL38QOv\n17ftK4C3D/T90OEnAfcCew/s/xR4Wdv+PeAHW7ie1bTrT/Js4N+PUudoLgfenjbtIcmz2utTgB9V\n1f+ke0bI745S59PpnvshSZIkSVPWyjtXsn7T+s3K1m9az8133jxJPdr1bM8yDeg+XL8EGPrWimXA\nUVV1e5I7gMe1MqpqRZLzgW+1Y8+tqptGe35BVW1McgLdMxruBb5E95f74WYBn8lD38Lx3nH0/3Rg\ncZI30AUGP6P7kD3YjyuSzAGub5/R1wKvT3IXcCDwy1Hq3jfJLXQzMk5oZe8AzmnlM+lCm7cOO+8L\nwN8leQdwHPBm4KwkM4EHaM9eGMWFwB8l+Q7wTeD/tGv4RZLr2kMr/zdwzijnf5ju+Ra3tPv5z3TP\nungt8IYk69s9+u9V9cvBOqvqFOAIuqUykiRJkjRlXXDMBZvtH/zZg7n1jbdOUm92TdsbRpwDvJMW\nRrTlC+e17fXAnoMHV9WZwJnDylYDc4eV7dVef01bqpHklYzwIbqqVjLCbIiqmj+wPXtg+0ZgXtu9\nB3h5VW1I8kLgua3NB/vQts+ie/jkg5LMBS6sqtGWJXysqt4zWFBVd/HQjInB8vOB89v2dWz+1Z4/\nBJ4zShvD61lH99yHkd77L8OK5rbypXRLXIbO/68jnLuQ7tszxqrzGOBVW9NXSZIkSdKua7vCiDbb\n4eokM6pq49hnbFdbX9kB1R4AfKnNAvgN3SyEre3PbcC7dkCfpqUkTwDObMt3JEmSJEka1fbOjKCq\nPj0RHZkMVfUD4Fk7oN7ZE13noCRvAv5sWPF1VfW2HdnullTVGuDiyWpfkiRJ0vRRVWMfpBHtLPdu\nu8MI9a+qPgN8ZrL7IUmSJEnSttier/aUJEmSJEkaN8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLU\nKx9gKUmSJEmalmYvWDIh9ew9Z+y69tljtwlpSx3DCEmSJEnStLN64dETWNtE1qWt4TINSZIkSZLU\nK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MI\nSZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIk\nSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLU\nK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUq5mT3QFJkiRJ0q7j\nkNOv4J516x9WvvecBdy7auEWz91nj91Y+YGjdlTX1CPDCEmSJElSb+5Zt57VC49+WPnBn10wYvmg\n2QuW7KhuqWcu05AkSZIkSb0yjJAkSZIkSb0yjJAkSZIkSb0yjJAkSZIkSb0yjJAkSZIkSb0yjJAk\nSZIk7TBJdun2NTLDCEmSJEmS1CvDCEmSJEmS1KudKoxIskeSa5LMmOB6105AHR9KcuRk9mEcbc1P\n8om2fWySgwbeOzTJDUluTnJjkue18lcm+VBffZQkSZIkTV87VRgBnAhcVFUbJ6KydCbkHlXVaVV1\n5UTU1bNjgYMG9j8KnF5VhwKntX2AJcB/SvLonvsnSZIk7VQWL17M3LlzmTFjBnPnzmXx4sWT3aUd\nYs39a5h/2XzuWnfXZHdFk2BnCyNeB1wCkOScJMe07S8n+XTbPjHJGW37XUluaz8nt7LZSb6f5HPA\nbcCThypPsl+S65McPVoHksxIcn6r89Yk72zl5yc5rm2vTnJ6khXtmGe08ick+VqS7yQ5N8kdSfYb\noY1TkixPckuS08e6Ka29j7a2vpXkwIH2Lmx1LU/y4mHnvQg4BvhYmwnxVKCAx7RD9gF+ClBVBSwF\nXjlWfyRJkiSNbPHixZx66qmcffbZPPDAA5x99tmceuqpO2UgseiWRaz4+QoWrVw02V3RJNhpwogk\njwSeUlWrW9Ey4PC2PYuH/rp/OHBtkucAbwKeD7wAeHOSZ7Vjngb8TVU9s6ruaPXvT/fX/9OqaskW\nunIoMKuq5lbVwcBnRjnurqp6NvBJ4N2t7APA16vqmcAFwAEjXOdRrX/Pa209J8lLt9CfIfe0/nwC\n+OtWdhbw8ap6LvAHwLmDJ1TVN4BLgVOq6tCq+iFwMl048WPgr4D3DpxyIw/dc0mSJEnjdMYZZ3De\needxxBFHsNtuu3HEEUdw3nnnccYZZ0x21ybUmvvXcMntl1AUF99+sbMjdkEzJ7sDE2g/4FcD+8uA\nk9vzDr4L7JvkicALgXfQLen4clXdB5DkIroP0pcCd1TVDQN17QZcBbytqq4Zox8/Ap6S5Gy68OKK\nUY67qL1+G3hN234J8GqAqrosyd0jnHdU+7mp7e9FF05cO0a/Fg+8frxtHwkcNPBVN49JstcY9fwJ\n8M6qujDJa4HzWj0AdwJPGn5CkrcAbwHYf//9Wbp06RhN7Bhr166dtLY1NsdnanN8pjbHZ2pzfKY2\nx2dq2xXHZ9WqVWzcuHGz6964cSOrVq2acvdiPOMze8Hmf8897X+fxoaNGwDYsHED7//q+wG2qr7h\ndW2NqXbv+jDVf392pjBiHbD70E5V/STJY4FX0H1QfxzwWmBtVd07xnfN3jdsfwNdaPByYIthRFXd\nneSQduxbW5snjnDor9vrRsY3DgE+UlV/O45zoFteMXz7EcALquqBzRrY8r15I/Bnbfsf2Xw2xe50\n47B5w1WfAj4FcNhhh9W8efPG0+8Js3TpUiarbY3N8ZnaHJ+pzfGZ2hyfqc3xmdp2xfGZM2cOM2bM\n2Oy6r776aubMmTPl7sV4xmf1wodWuv/79y1m+brlbKR71N9GNrJ83XKAseu7bMlmdW2N/OVW1LsT\nmuq/PzvNMo2quhuYkWT3geIb6JYVXEs3U+Ld7ZX2emySRyfZk25GwjJGVnSBwjOSvGeoMMn3hh/Y\nnvHwiKq6EHgf8OxxXMZ1dOHF0HKMfUc45nLgxKEZDElmJfmttn1Vklmj1H38wOv1bfsK4O0DfT90\nhPPuBfYe2P8p8LK2/XvADwb5DBpUAAAgAElEQVTeezrdczYkSZIkbYNTTz2Vk046iauvvpr169dz\n9dVXc9JJJ3HqqadOdtcmzCMffxWbatNmZcP3tfPbmWZGQPfh+iXA0LdWLAOOqqrbk9xBNztiGUBV\nrUhyPvCtduy5VXVTktkjVVxVG5OcAFya5F7gS3SzFIabBXxm4Fs43jvCMaM5HVic5A10gcHP6MKA\nwX5ckWQOcH2bwbAWeH2Su4ADgV+OUve+SW6hm5FxQit7B3BOK59JF9q8ddh5XwD+Lsk7gOOANwNn\nJZkJPEBbftEcMc7rlSRJkjTghBO6/6q//e1vZ9WqVcyZM4czzjjjwfKdwYxH/wvrN63frGz4vnZ+\nO1sYcQ7wTloYUVXn0T3TgKpaD+w5eHBVnQmcOaxsNTB3WNle7fXXdMsvSPLK1h7Djl3JCLMhqmr+\nwPbsge0bgXlt9x7g5VW1IckLgee2Nh/sQ9s+i+7hkw9KMhe4sKoetkyi+VhVvWewoKru4qEZE4Pl\n5wPnt+3r2PyrPX8IPGf4Oe0Bn3tU1a2jtC9JkiRpK5xwwgk7Vfgw3P3//GcjLrU4+LMHT0JvNFl2\nqjCizXa4OsmMqtq4g9v6yg6o9gDgS21WxW/oZiFsbX9uA961A/q0tQ4A/t9JbF+SJEmSNE3sVGEE\nQFV9erL7sK2q6gfAs8Y8cPz1zp7oOkdoY/mObkOSJEmStHPYaR5gKUmSJEmSpgfDCEmSJEnSDlNV\nu3T7GplhhCRJkiRJ6pVhhCRJkiRJ6pVhhCRJkiRJ6pVhhCRJkiRJ6pVhhCRJkiRJ6tXMye6AJEmS\nJGnXMnvBkoeV7T1n5PJB++yx247qknpmGCFJkiRJ6s3qhUeP8s5o5doZuUxDkiRJkiT1yjBCkiRJ\nkiT1yjBCkiRJkiT1yjBCkiRJkiT1yjBCkiRJkiT1yjBCkiRJkiT1yjBCkiRJkiT1yjBCkiRJkiT1\nyjBCkiRJkiT1yjBCkiRJkiT1yjBCkiRJkiT1yjBCkiRJkiT1yjBCkiRJkiT1yjBCkiRJkiT1yjBC\nkiRJkiT1yjBCkiRJkiT1yjBCkiRJkiT1yjBCkiRJkiT1yjBCkiRJkiT1yjBCkiRJkiT1yjBCkiRJ\nkiT1yjBCkiRJkiT1yjBCkiRJkiT1yjBCkiRJkiT1yjBCkiRJkiT1auZkd0CSJEmSNH0ccvoV3LNu\nfbdz2ZJxnbv3nAXcu2rhNrW7zx67sfIDR23TuZp6DCMkSZIkSVvtnnXrWb3waJYuXcq8efPGde7B\nn13A6oVHb1O7sxeML/jQ1OYyDUmSJEmS1CvDCEmSJEmS1CvDCEmSJEmS1CvDCEmSJEmS1CvDCEmS\nJEnaySWZ7C70Zle61unMMEKSJEmSJPXKMEKSJEmSJPVq2oURSfZIck2SGRNc79oJqONDSY6czD6M\no635ST7Rto9NctDAe3+Y5DtJNiU5bNh5v5vk+vb+rUl2b+VXJtm3r/5LkiRJkqavaRdGACcCF1XV\nxomoLJ0JuQ9VdVpVXTkRdfXsWOCggf3bgNcA1w4elGQm8HngrVX1TGAesL69/b+AP93hPZUkSZI0\n7ay5fw3zL5s/2d3QFDIdw4jXAZcAJDknyTFt+8tJPt22T0xyRtt+V5Lb2s/JrWx2ku8n+RzdB+8n\nD1WeZL/2l/+jR+tAkhlJzm913prkna38/CTHte3VSU5PsqId84xW/oQkX2szC85NckeS/UZo45Qk\ny5PckuT0sW5Ka++jra1vJTlwoL0LW13Lk7x42HkvAo4BPpbk5iRPrapVVfX9EZo5CrilqlYCVNUv\nBkKhS4ETxuqnJEmSpF3PolsWseLnKya7G5pCplUYkeSRwFOqanUrWgYc3rZn8dBf9w8Hrk3yHOBN\nwPOBFwBvTvKsdszTgL+pqmdW1R2t/v2BJcBpVbVkC105FJhVVXOr6mDgM6Mcd1dVPRv4JPDuVvYB\n4OttZsEFwAEjXOdRrX/Pa209J8lLt9CfIfe0/nwC+OtWdhbw8ap6LvAHwLmDJ1TVN+iChFOq6tCq\n+uEW6n86UEkubyHLnw/UczfwqCSP34p+SpIkSdpFrLl/DZfcfglFAXDXursmuUeaCmZOdgfGaT/g\nVwP7y4CT2/MOvgvsm+SJwAuBd9At6fhyVd0HkOQiuqDiUuCOqrphoK7dgKuAt1XVNWP040fAU5Kc\nTRdeXDHKcRe112/TLXsAeAnwaoCquizJ3SOcd1T7uant70UXTlw7wrGDFg+8frxtHwkcNPD1No9J\nstcY9YxmJl3/nwvcD1yV5NtVdVV7/07gScAvBk9K8hbgLQD7778/S5cu3cbmt8/atWsnrW2NzfGZ\n2hyfqc3xmdocn6nN8ZnaHJ+JNXvBlv7eOj5Lly7d6vH54i++yIaNGx7cf/9X38/xjz9+m9rd2mvw\n383U//2ZbmHEOmD3oZ2q+kmSxwKvoPug/jjgtcDaqrp3jO+XvW/Y/ga60ODlwBbDiKq6O8kh7di3\ntjZPHOHQX7fXjYzvXgf4SFX97TjOAVrUuPn2I4AXVNUDmzWwbd+9+6/AtVV1V6vjq8Cz6UIc6MZm\n3cM6VfUp4FMAhx12WM2bN29b2t5uS5cuZbLa1tgcn6nN8ZnaHJ+pzfGZ2hyfqc3xmVirF466En1c\nZi9Ywrx587ZqfNbcv4blFy1nIw898m/5uuV8+PkfZr89HrZafcsuW7JV15C/xH83TP3fn2m1TKMt\nBZgx9A0OzQ3AyXRhxDK65RDL2nvLgGOTPDrJnnQzEpYxsqILFJ6R5D1DhUm+N/zA9oyHR1TVhcD7\n6D6Qb63r6MKLoeUYI30DxeXAiUMzGJLMSvJbbfuqJLNGqfv4gdfr2/YVwNsH+n7oCOfdC+y9FX2/\nHDi43c+ZwMvoZqSQLt34bWD1VtQjSZIkaRew6JZFbKpNm5Vtqk0sWrloknqkqWJahRHNFXRLBYYs\nA2ZW1e3ACrrZEcsAqmoFcD7wLeCbwLlVdROjaA9jPAH4vSR/2kKHkaYQzAKWJrmZ7tsl3juO/p8O\nHJXkNuAPgZ/RhQGD/bgC+Afg+iS30j1bYu/2rR8HAr8cpe59k9wC/Bnwzlb2DuCw9iDM79LN5Bju\nC8ApSW5K8tQkr07yr3TLXZYkubz1627gTGA5cDOwYuDZGs8BbqiqDSPUL0mSJGkXtPLOlazftH6z\nsvWb1nPznTdPUo80VUy3ZRoA59B90L4SoKrOA85r2+uBPQcPrqoz6T5AD5atBuYOK9urvf6abvkF\nSV7Z2mPYsSsZYTZEVc0f2J49sH0j3ddgAtwDvLyqNiR5IfDc1uaDfWjbZ9E9fPJBSeYCF1bVw5ZC\nNB+rqvcMFrQlFQ9bkFVV59MFNVTVdWz+1Z4/BL48UgNV9Xm6AGa4NwB/M0q/JEmSJO2CLjjmgs32\nD/7swdz6xlsnqTeaSqZdGFFVK5JcnWTGwNdK7qi2vrIDqj0A+FKb5fAb4M3j6M9twLt2QJ8mwm0D\nD7KUJEmSJGlU0y6MAKiqT092H7ZVVf0AeNaYB46/3tkTXec42/+7yWxfkiRJkjR9TMdnRkiSJEmS\npGnMMEKSJEmSdnJVNdld6M2udK3TmWGEJEmSJEnqlWGEJEmSJEnqlWGEJEmSJEnqlWGEJEmSJEnq\nlWGEJEmSJEnq1czJ7oAkSZIkaXqZvWBJt3HZknGdt/ecgXPHaZ89dtum8zQ1GUZIkiRJkrba6oVH\nA7B06VLmzZs3zrOPnvD+aHpymYYkSZIkSeqVYYQkSZIkSeqVYYQkSZIkSeqVYYQkSZIkSeqVYYQk\nSZIkSeqVYYQkSZIkSeqVYYQkSZIkSeqVYYQkSZIkSeqVYYQkSZIkSeqVYYQkSZIkSeqVYYQkSZIk\nSeqVYYQkSZIkSeqVYYQkSZIkSeqVYYQkSZIkSeqVYYQkSZIkSeqVYYQkSZIkSeqVYYQkSZIkSeqV\nYYQkSZIkSeqVYYQkSZIkSeqVYYQkSZIkSeqVYYQkSZIkSeqVYYQkSZIkSeqVYYQkSZIkSeqVYYQk\nSZIkSeqVYYQkSZIkSerVzMnugCRJ6s8hp1/BPevWb1a295wF3Ltq4Zjn7rPHbqz8wFE7qmuSJGkX\nYhghSdIu5J5161m98OjNyg7+7IKHlY1k9oIlO6pbkiRpF+MyDUmSJEmS1CvDCEmSJEmS1CvDCEmS\nJEmS1CvDCEmSJEmS1CvDCEmSJEmS1CvDCEmSdjJJdsm2JUnS9GEYIUmSJEmSemUYIUmSJEmSejWt\nwogkeyS5JsmMCa537QTU8aEkR05mH7ahzQ8meXfbnp/kSQPv/bcktyepJPsNlCfJ/2zv3ZLk2a38\nCUku6/saJEmSJEnTz7QKI4ATgYuqauNEVNY+WE/IPaiq06rqyomoa5LMB540sH8dcCRwx7Djfh94\nWvt5C/BJgKpaA/xbkhfv8J5K0k5o8eLFzJ07lxkzZjB37lwWL17cS7tr7l8DwF3r7uqlPUmSJJh+\nYcTrgEsAkpyT5Ji2/eUkn27bJyY5o22/K8lt7efkVjY7yfeTfA64DXjyUOVJ9ktyfZKjR+tAkhlJ\nzm913prkna38/CTHte3VSU5PsqId84xW/oQkX0vynSTnJrljcNbBQBunJFneZh6cvqUbkuS5SS5q\n269Ksi7JI5PsnuRHrfzNrb6VSS5M8uhhdRwHHAb8fZKbk+xRVTdV1eoRmnwV8Lnq3AA8NskT23sX\n042RJGkcFi9ezKmnnsrZZ5/NAw88wNlnn82pp57aSyCx6JZF3evKRTu8LUmSpCHTJoxI8kjgKQMf\nkJcBh7ftWcBBbftw4NokzwHeBDwfeAHw5iTPasc8DfibqnpmVd3R6t8fWAKcVlVLttCVQ4FZVTW3\nqg4GPjPKcXdV1bPpZg68u5V9APh6VT0TuAA4YITrPKr173mtreckeekW+nNTO27o2m8Dntuu+5ut\n/KKqem5VHQKsAk4arKCqLgBuBF5XVYdW1bottDcL+PHA/r+2Mlodhz/sDEnSFp1xxhmcd955HHHE\nEey2224cccQRnHfeeZxxxhk7tN0196/hktsvAeDi2y92doQkSerNzMnuwDjsB/xqYH8ZcHKSg4Dv\nAvu2v9C/EHgH3ZKOL1fVfQBt9sDhwKXAHe2v+kN2A64C3lZV14zRjx8BT0lyNl14ccUox13UXr8N\nvKZtvwR4NUBVXZbk7hHOO6r93NT296ILJ64dqZGq2pDkh0nm0AUYZwIvBWbQ3SOAuUn+Anhsq+/y\nMa5xW93J5ks9AEjyFrolHey///4sXbp0BzW/ZWvXrp20tjU2x2dqc3x2rFWrVrFx48bN7vHGjRtZ\ntWrVVt33kcZn9oLRc/WhY7/4iy+yYeMGADZs3MD7v/p+jn/88Vtsa0v1Dq9fHX9/pjbHZ2pzfKY2\nx2dqm+rjM53CiHXA7kM7VfWTJI8FXkH3Qf1xwGuBtVV17xjfc37fsP0NdKHBy4EthhFVdXeSQ9qx\nb21tnjjCob9urxsZ330O8JGq+ttxnHMt3bMc1gNXAufThRGntPfPB46tqpVJ5gPzxlH3cD9hYGkL\n8DutDLrxedisiqr6FPApgMMOO6zmzdue5rfd0qVLmay2NTbHZ2pzfHasOXPmMGPGjM3u8dVXX82c\nOXO26r6PND6rF4684nD2giXMmzePNfevYflFy9lI9ximjWxk+brlfPj5H2a/PR62grBz2ZJR6x2S\nv8R/K8P4+zO1OT5Tm+MztTk+U9tUH59ps0yjqu4GZiTZfaD4BuBkug/jy+iWQwzNBlgGHJvk0Un2\npJuRsIyRFV2g8Iwk7xkqTPK94Qe2Zzw8oqouBN4HPHscl3EdXXgxtBxj3xGOuRw4Mcle7bhZSX6r\nbV+VZNYI5yyjuw/XtwdJPh74D3RLNgD2pnu45G6M/kyHe9txY7kU+KP28M8XAPdU1b+1954+0KYk\naSudeuqpnHTSSVx99dWsX7+eq6++mpNOOolTTz11h7W56JZFbKpNm5Vtqk0+O0KSJPViOs2MgG5J\nxEvo/voP3Yfwo6rq9iR30M2OWAZQVSuSnA98qx17blXdlGT2SBVX1cYkJwCXJrkX+BLdLIXhZgGf\nGfgWjveOo/+nA4uTvAG4HvgZXQgw2I8r2pKL69vsjrXA65PcBRwI/HKEer8J7M9DSzluAX67qqrt\nv78ds6a9jhQ6nA8sSrKObqnLm4E/B34buCXJV6vqj4GvAv8PcDtwP91zOYYcQbd0RZI0DieccAIA\nb3/721m1ahVz5szhjDPOeLB8R1h550rWb1q/Wdn6Teu5+c6bd1ibkiRJQ6ZbGHEO8E5aGFFV5wHn\nte31wJ6DB1fVmXTPUBgsWw3MHVa2V3v9Nd3yC5K8srXHsGNXMsJsiKqaP7A9e2D7Rh5aFnEP8PL2\nnIcXAs9tbT7Yh7Z9FnDWYP1J5gIXjvRwyVb2qIH9twx7/5O0r+AcVv7Bge0LgQsH3v6f7Wf4OQW8\nbXh5cwzdt21IksbphBNO2KHhw3AXHHPBg9sHf/Zgbn3jrb21LUmSNK3CiDbb4eokM6pq4w5u6ys7\noNoDgC+1WRW/oZt9sLX9uQ141w7o04RI8gTgzLacRpIkSZKkUU2rMAKgqj492X3YVlX1A+BZYx44\nDbVnVVw82f2QJEmSJE190+YBlpIkaes89MigXattSZI0fRhGSJIkSZKkXhlGSJIkSZKkXhlGSJIk\nSZKkXhlGSJIkSZKkXhlGSJIkSZKkXk27r/aUJEnbZ/aCJZvt7z3n4WUj2WeP3XZUlyRJ0i7GMEKS\npF3I6oVHj1A6UpkkSdKO4zINSZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIk\nSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLU\nK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MI\nSZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIkSZLUK8MISZIk\nSZLUK8MISZIkSZLUq5mT3QFJkqaKQ06/gnvWrd+uOvaes4B7Vy0c1zn77LEbKz9w1Ha1K0mSNJ0Y\nRkiS1Nyzbj2rFx69XXUc/NkF465j9oIl29WmJEnSdOMyDUmSJEmS1CvDCEmSJEmS1CvDCEmSJEmS\n1CvDCEmSJEmS1CvDCEmSJEmS1CvDCEnStJJksrvQu13xmiVJ0s7NMEKSJEmSJPXKMEKSJEmSJPXK\nMEKSJEmSJPVqzDAiyR5JrkkyYyIbTrJ2Aur4UJIjJ7MP42hrfpJPtO1jkxw08N6Hk9yS5OYkVyR5\nUit/XSu/Nck3khyyHW0/aWD/3KH2k6xOst8E1PmFJE/blv5J0nS15v41zL9sPnetu2uyuyJJkjSt\nbM3MiBOBi6pq40Q0mM6EzMioqtOq6sqJqKtnxwIHDex/rKp+t6oOBb4CnNbK/xl4WVUdDHwY+NQ2\ntjcfeDA4qKo/rqrvbmNdI9YJfBL48+2sU5KmlUW3LGLFz1ewaOWiye6KJEnStLI1ocDrgEsAkpyT\n5Ji2/eUkn27bJyY5o22/K8lt7efkVjY7yfeTfA64DXjyUOVJ9ktyfZKjR+tAkhlJzm913prkna38\n/CTHte3VSU5PsqId84xW/oQkX0vynTYj4I6RZgIkOSXJ8jYT4fSxbkpr76OtrW8lOXCgvQtbXcuT\nvHjYeS8CjgE+1mZCPLWq/u/AIXsCBVBV36iqu1v5DcDvbKE/s5PcNrD/7iQfbPfnMODvW3t7JFma\n5LAR6nh9u5abk/xtu+8Pu/cj1QksA45MMnOseydJO4M196/hktsvoSguvv1iZ0fo/2/v3sPtqso8\n339/chEUFASK1liYorUUhRIRFBTt2HrA2wNqcURaRcRLU0pZ6MFjfFQUKY9YdmGrhaYUMFpNC1RA\npA0iFGUwxTUKBFCwjJi00ihBEQlEyOU9f8yxycrOvmTDztprJ9/P8+xnzTnmmGOOOd/MrL3ePcZc\nkiRpAsb84JhkW2DPqlraihYCLwEuAmYAT27lLwHOSfJ84O3AC4EA1ya5ArgHeAbwtqq6prVNkt1b\nWx+tqsvG6Mq+wIyq2rvtu9Mo9e6uqv2SvAc4EXgn8HHgX6vq00leCbxjhPM8pPXvBa3fFyV5aVX9\nYKzrA9xbVfskORr478Brgc8Dn6uqf0uyB/A9YK+hHarqqiQXAd+pqnk9ffgUcDRwL/CyEY71DuC7\n4/RnA1U1L8nxwIlV9cN2rA3qJdkLOBJ4cVWtSvIlukTUjxl27avq98PbbNuWAM8FfjSs7XcD7wbY\nfffdWbBgwURPY1KsWLFiyo6t8RmfwTZo8Zk5e/4ma3tjz/Pc357L6jWrAVi9ZjUfu/hjHLnLkRNq\no9d45zRWm4MWH63P+Aw24zPYjM9gMz6DbdDjM95fsXcFft+zvhA4oT1v4CfAzkmeDBwEvI9uSse3\nqup+gCQXsC55sWwoEdFsA1wOvLeqrhinH7cDeyb5IjAfuHSUehe01x8Bb2jLBwOvB6iqS5LcM8J+\nh7SfG9r6DnTJifGSEd/sef1cW34F8OyeD/xPSLLDOO1QVR8BPpLkw8DxdEkUAJK8jC4ZcfB47TwK\nLweeDyxqfd8euAv4X2zctafVfwrDkhFV9RXaFJP999+/Zs2aNdl93ygLFixgqo6t8RmfwTZo8Vl6\n6qiD6R6VmbPnb9R5Ln9gOYsuWMQauhmMa1jDopWLOOWFp8AyJn6tLpk/5jnlM2O3OWjx0fqMz2Az\nPoPN+Aw24zPYBj0+4yUjVgLbDa1U1R1tVMIr6T6oPwl4I7Ciqu4b6S/uPe4ftr6a7kProcCYyYiq\nuqc9vPFQ4Lh2zGNHqPpge13D+OfWK8Cnq+ofJ7APtOkUw5YfAxxYVX9c7wBjX5teZwMX05IRSf4C\nOAN4VVX9doz9VrP+tJvtRqs4igBfr6oPb7Bh46790DFXTvC4kjTtzLlpDmtr7Xpla2utz46QJEna\nSGM+M6I9r2CrJL0fbK8BTqBLRiykmw6xsG1bCLwuyeOSPJ5uRMJCRlZ0H2qfleRDQ4VJbhtesT3j\n4TFVdT7wUWC/jTi3IVfSfYAemo6x8wh1vgccOzSCIcmMJH/Sli9PMmOUto/seb26LV8K/HVP3/cd\nYb/7gB176vR+C8XhwG2tfA+60R5vrap/H+McAX4D/EmSXZI8lm7KyIjHG8XlwBE95/2kJE8b49qP\n1Oaf0z0TRJI2a4vvWsyqtavWK1u1dhU33nXjFPVIkiRpetmY0QOX0k0PGPrWioXAIVW1JMkyutER\nCwGq6vokc4HrWt0zquqGJDNHariq1iQ5iu4ZDfcB59H9hX64GcDXsu5bODb46/0YTga+meStdAmD\nX9N9kO7tx6XtmQlXtxEMK4C3JLkbeDrwu1Ha3jnJTXQjMo5qZe8DTm/lW9MlbY4btt85wFeTvA84\nAjg1yTOBtcCynvonAbsAX2r9Wl1VGzx4sp3DqiSfpLv2d9ASGs1cYE6SlXRTakba/ydJPgpc2q7z\nKuC9dCMdRrr2w9t8ArCyqn49UvuStDmZd9i8Ubft8/V9+tgTSZKk6WljkhGnA++nJSOq6kzgzLa8\niu7bHx5WVacBpw0rWwrsPaxsh/b6IN0UAJK8th2PYXUXM8JoiKo6pmd5Zs/yD4FZbfVe4NCqWp3k\nIOCAdsyH+9CWP0/38MmHJdkbOL+qRpt68Nmq+lBvQVXdzboRE73lc+k+wFNVV7L+V3v+5UiNV9U7\n6R7CuVGq6gvAF0YoPx84v6doVs+2mT3L5wLnjtD0SNd+vTaTHAdMdJqLJEmSJGkLNG4yoo12+H6S\nrapqzabsTFV9ZxM0uwdwXvvL/kPAuybQn1uAD2yCPm2Ofg/801R3QpIkSZI0+DbqIY9Vddam7sim\nUlU/A563CdqdOdltbowku9A932G4l4/zgMtNqqq+NlXHliRJkiRNLxP5xgkNgJZwGOmhmJK0Raiq\n8SttZrbEc5YkSZu3Mb9NQ5IkSZIkabKZjJAkSZIkSX1lMkKSJEmSJPWVyQhJkiRJktRXJiMkSZIk\nSVJf+W0akiT1mDl7/qPaf8e9Jt7GE7ff5lEdU5IkaboxGSFJUrP01NdMQiuT0YYkSdLmzWkakiRJ\nkiSpr0xGSJIkSZKkvjIZIUmSJEmS+spkhCRJkiRJ6iuTEZIkSZIkqa9MRkiSJEmSpL4yGSFJkiRJ\nkvrKZIQkSZIkSeorkxGSJEmSJKmvTEZIkiRJkqS+MhkhSZIkSZL6ymSEJEmSJEnqK5MRkiRJkiSp\nr0xGSJIkSZKkvjIZIUmSJEmS+spkhCRJkiRJ6iuTEZIkSZIkqa9MRkiSJEmSpL4yGSFJkiRJkvrK\nZIQkSZIkSeorkxGSJEmSJKmvTEZIkiRJkqS+MhkhSZIkSZL6ymSEJEmSJEnqK5MRkiRJkiSpr7ae\n6g5IkibXc0++lHtXrhpx2457zea+W08dt40nbr8Niz9+yGR3TZIkSQJMRkjSZufelatYeuprRty2\nz9dnj7qt18zZ8ye7W5IkSdLDnKYhSZIkSZL6ymSEJEmSJEnqK5MRkiRJkiSpr0xGSJIkSZKkvjIZ\nIUmSJEmS+spkhCQNoCRT3YVHZLr2W5IkSf1lMkKSJEmSJPWVyQhJkiRJktRX0yoZkWT7JFck2WqS\n210xCW18MskrprIPj+CYn0hyYls+JslTeradneSnSW5JclaSbVp5knwhyZIkNyXZr5XvluSSfp+D\npIlb/sByjrnkGO5eefdUd0WSJElbqGmVjACOBS6oqjWT0Vj7YD0p16CqTqqqf5mMtqbIMcBTetbP\nBp4F7ANsD7yzlb8KeEb7eTfwZYCqWg7cmeTFfeqvpEdozk1zuP431zNn8Zyp7ookSZK2UNMtGfFm\n4NsASU5Pclhb/laSszNXhasAABu/SURBVNrysUk+1ZY/0P6yf0uSE1rZzPYX/28AtwB/OtR4kl2T\nXJ3kNaN1IMlWSea2Nm9O8v5WPjfJEW15aZKTk1zf6jyrle+W5LIkP05yRpJlSXYd4RgfTLKojTw4\neawLkuSAJBe05cOTrEyybZLtktzeyt/V2luc5PwkjxvWxhHA/sDZSW5Msn1VXVwNcB3w1Fb9cOAb\nbdM1wE5Jnty2XdhiJGmAfXvJtymKC5dc6OgISZIkTYmtp7oDGyvJtsCeVbW0FS0EXgJcBMwAhj4Q\nvwQ4J8nzgbcDLwQCXJvkCuAeur/qv619mCYJSXZvbX20qi4boyv7AjOqau+2706j1Lu7qvZL8h7g\nRLqRBR8H/rWqPp3klcA7RjjPQ1r/XtD6fVGSl1bVD0Y5zg2tT0PnfgtwAF1sr23lF1TVV1v7f9uO\n+8WhBqpqXpLjgROr6ofD+rMN8Fbgb1rRDOCXPVV+1cruBH4I/O0I5/RuulEU7L777ixYsGCUU9m0\nVqxYMWXH1viMz4Zmzp7/iPcd61quXrP64dePXfwxjtzlyI07/iUb1x/j2H/eP4PN+Aw24zPYjM9g\nMz6DbdDjM22SEcCuwO971hcCJyR5NvATYOf2F/qDgPfRTen4VlXdD9BGDwwlL5YNJSKabYDLgfdW\n1RXj9ON2YM8kXwTmA5eOUu+C9voj4A1t+WDg9QBVdUmSe0bY75D2c0Nb34EuOTFiMqKqVif5eZK9\n6BIYpwEvBbaiu0YAe7ckxE6tve+Nc469vgT8oKoWjlsT7mL9qR5DffwK8BWA/fffv2bNmjWBw0+e\nBQsWMFXH1viMz4aWnjrqIK0xzZw9f8RrufyB5bAM1tDNdFvDGhatXMQpLzyFXbcfNkjrkvnrHX9j\n45PPYByngPfPYDM+g834DDbjM9iMz2Ab9PhMp2kaK4Hthlaq6g66D9evpPugvhB4I7Ciqu4bp637\nh62vpksaHDpeJ6rqHuC5wALgOOCMUao+2F7XMLGkT4BPV9W+7efpVXXmOPv8gO5ZDquAf6FLehzM\numTEXOD4qtoHOJme6zhmR5KPA7sBH+gpvoOeqS100zfuaMvb0cVJ0gCac9OGz4hYW2t9doQkSZL6\nbtokI1oSYKskvR+krwFOYF0y4kTWfQBfCLwuyeOSPJ5uRMJof90vupEUz0ryoaHCJLcNr9ie8fCY\nqjof+Ciw3wRO40q6hMnQdIydR6jzPeDYJDu0ejOS/ElbvjzJjBH2WUh3Ha5uD5LcBXgm3ZQNgB3p\nHi65DaM/0+G+Vm/oPN9Jl5w5qqrW9tS7CDi6PfzzQODeqrqzbfvznmNKGjCL71q8Qdmqtau48a4b\np6A3kiRJ2pJNp2ka0E2JOJjur//QfQg/pKqWJFkGPKmVUVXXJ5lL9/BFgDOq6oYkM0dquKrWJDmK\n7hkN9wHn0Y1SGG4G8LWeb+H48AT6fzLwzSRvBa4Gfk2XBOjtx6VtysXVSQBWAG9JcjfwdOB3I7R7\nLbA766Zy3AT8h/bwSYCPtTrL2+uOG7TQjZ6Yk2Ql3VSXOcCynn5cUFWfBC4GXg0sAR6gey7HkJfR\nTV2RNIDmHTaPfb6+Dze/7eap7ookSZK2cNMtGXE68H5aMqJNXzizLa8CHt9buapOo3uGQm/ZUmDv\nYWU7tNcHaVM1kry2HY9hdRczwmiIqjqmZ3lmz/IPgVlt9V7g0Pach4OAA9oxH+5DW/488Pne9pPs\nDZxfVRtMg2hlj+1Zf/ew7V+mfQXnsPJP9CyfD5zfs3nEfxstwfHekbYBh9F924YkSZIkSaOaVsmI\nNtrh+0m2qqo1m/hY39kEze4BnNdGVTwEvGsC/bmF9Z/dMFCS7Aac1qbTSJIkSZI0qmmVjACoqrOm\nug+PVFX9DHjeVPdjU2jPqrhwqvshSZIkSRp80+YBlpK0JVn3yJfpZbr2W5IkSf1lMkKSJEmSJPWV\nyQhJkiRJktRXJiMkSZIkSVJfmYyQJEmSJEl9ZTJCkiRJkiT11bT7ak9J0vhmzp4/YvmOe42+rdcT\nt99msrskSZIkPcxkhCRtZpae+poxto61TZIkSeoPp2lIkiRJkqS+MhkhSZIkSZL6ymSEJEmSJEnq\nK5MRkiRJkiSpr0xGSJIkSZKkvjIZIUmSJEmS+spkhCRJkiRJ6iuTEZIkSZIkqa9MRkiSJEmSpL4y\nGSFJkiRJkvrKZIQkSZIkSeorkxGSJEmSJKmvTEZIkiRJkqS+MhkhSZIkSZL6ymSEJEmSJEnqK5MR\nkiRJkiSpr0xGSJIkSZKkvjIZIUmSJEmS+spkhCRJkiRJ6iuTEZIkSZIkqa9MRkiSJEmSpL4yGSFJ\nkiRJkvrKZIQkSZIkSeorkxGSJEmSJKmvTEZIkiRJkqS+2nqqOyBpneeefCn3rlw14f123Gs29916\n6ibo0dieuP02LP74IX0/riRJkqTpzWSENEDuXbmKpae+ZsL77fP12Y9ov0dr5uz5fT+mJEmSpOnP\naRqSJEmSJKmvTEZIkiRJkqS+MhkhSZIkSZL6ymSEJEmSJEnqK5MRkiRJkiSpr0xGSMMkmeoubPa8\nxpIkSdKWzWSEJEmSJEnqK5MRkiRJkiSpr6ZlMiLJ9kmuSLLVJLe7YhLa+GSSV0xlHyZwrGOS/ENb\nfl2SZ/dsOyXJTUluTHJpkqe08je38puTXJXkua182yQ/SLJ1v/ovSZIkSZqepmUyAjgWuKCq1kxG\nY+lMyrWoqpOq6l8mo60+ex3w7J71z1bVX1TVvsB3gJNa+S+A/1RV+wCnAF8BqKqHgMuBI/vXZY1m\n+QPLOeaSY7h75d1T3RVJkiRJ2sB0TUa8Gfg2QJLTkxzWlr+V5Ky2fGyST7XlDyS5pf2c0MpmJvlp\nkm8AtwB/OtR4kl2TXJ3kNaN1IMlWSea2Nm9O8v5WPjfJEW15aZKTk1zf6jyrle+W5LIkP05yRpJl\nSXYd4RgfTLKojUQ4ebyL0o73d+1Y1yV5es/xzm9tLUry4mH7vQg4DPhsGwnxH6vqDz1VHg8UQFVd\nVVX3tPJrgKf21LuQLjaaYnNumsP1v7meOYvnTHVXJEmSJGkD0y4ZkWRbYM+qWtqKFgIvacszWPfX\n/ZcAP0jyfODtwAuBA4F3JXleq/MM4EtV9ZyqWtba3x2YD5xUVfPH6Mq+wIyq2ruNEvjaKPXurqr9\ngC8DJ7ayjwP/WlXPAeYBe4xwnoe0/r2gHev5SV46Rn+G3Nv68w/Af29lnwc+V1UHAH8JnNG7Q1Vd\nBVwEfLCq9q2qn7c+fCrJL+kSDCexoXcA3+1ZvwU4YCP6qE1o+QPL+faSb1MUFy650NERkiRJkgbO\ndJzfvyvw+571hcAJ7XkHPwF2TvJk4CDgfXRTOr5VVfcDJLmALlFxEbCsqq7paWsbuqkG762qK8bp\nx+3Ankm+SJe8uHSUehe01x8Bb2jLBwOvB6iqS5LcM8J+h7SfG9r6DnTJiR+M069v9rx+ri2/Anh2\nz9cpPiHJDuO0Q1V9BPhIkg8Dx9MlUQBI8jK6ZMTBPfXXJHkoyY5VdV9P3XcD7wbYfffdWbBgwXiH\n3iRWrFix0ceeOXusPNSm9Uivz9B+5/72XFavWQ3A6jWr+djFH+PIXTbd7JlHeq2Gn+dE4qP+Mz6D\nzfgMNuMz2IzPYDM+g834DLZBj890TEasBLYbWqmqO5LsBLyS7oP6k4A3Aiuq6r6eD+AjuX/Y+mq6\npMGhwJjJiKq6pz288VDguHbMY0eo+mB7XcPErneAT1fVP05gH2jTKYYtPwY4sKr+uN4Bxr42vc4G\nLqYlI5L8Bd3oildV1W+H1X0ssN5xquortGdL7L///jVr1qyNPe6kWrBgARt77KWnjjpDZ5OaOXv+\nRvdxPV+HWbNmsfyB5Sy6YBFr6B6nsoY1LFq5iFNeeAq7br/BTKBH75L5j+ha5TNscJ4TiY/6z/gM\nNuMz2IzPYDM+g834DDbjM9gGPT7TbppGe17BVkm26ym+BjiBLhmxkG46xMK2bSHwuiSPS/J4uhEJ\nCxlZ0SUUnpXkQ0OFSW4bXrE94+ExVXU+8FFgvwmcxpV0yYuh6Rg7j1Dne8CxQyMYksxI8idt+fIk\nM0Zp+8ie16vb8qXAX/f0fd8R9rsP2LGnzjN6th0O3NbK96Ab7fHWqvr33gaS7EI3LWXVKH3TJjbn\npjmsrbXrla2ttT47QpIkSdJAmY4jI6D7cH0wMPStFQuBQ6pqSZJldKMjFgJU1fVJ5gLXtbpnVNUN\nSWaO1HCbanAUcFGS+4Dz6EYpDDcD+FrPt3B8eAL9Pxn4ZpK30iUMfk2XDOjtx6VJ9gKubiMYVgBv\nSXI38HTgd6O0vXOSm+hGZBzVyt4HnN7Kt6ZL2hw3bL9zgK8meR9wBHBqkmcCa4FlPfVPAnYBvtT6\ntbqq9m/bXkY3ZUVTZPFdi1m1dv1c0Kq1q7jxrhunqEeSJEmStKHpmow4HXg/LRlRVWcCZ7blVXTf\n/vCwqjoNOG1Y2VJg72FlO7TXB+mmX5Dkte14DKu7mBFGQ1TVMT3LM3uWfwjMaqv3AodW1eokBwEH\ntGM+3Ie2/Hm6h08+LMnewPlVtXL4sZvPVtWHeguq6m5G+MrNqpoLzG3LV7L+V3v+5UiNV9U7gXeO\ncuz/AsweZZv6YN5h86a6C5IkSZI0rmmZjGijHb6fZKuqWrOJj/WdTdDsHsB5bVTFQ8C7JtCfW4AP\nbII+PSrtW04uHD51Q5IkSZKk4aZlMgKgqs6a6j48UlX1M+B541aceLszJ7vNCRz7IeAbU3V8SZIk\nSdL0Me0eYClJkiRJkqY3kxHSMFU1fiU9Kl5jSZIkactmMkKSJEmSJPWVyQhJkiRJktRXJiMkSZIk\nSVJfmYyQJEmSJEl9NW2/2lPaXM2cPX/C++y41yPb79F64vbb9P2YkiRJkqY/kxHSAFl66mse4Z6P\ndD9JkiRJ6j+naUiSJEmSpL4yGSFJkiRJkvrKZIQkSZIkSeorkxGSJEmSJKmvTEZIkiRJkqS+Mhkh\nSZIkSZL6ymSEJEmSJEnqK5MRkiRJkiSpr0xGSJIkSZKkvjIZIUmSJEmS+spkhCRJkiRJ6iuTEZIk\nSZIkqa9SVVPdB21BkiwHlk3R4XcF7p6iY2t8xmewGZ/BZnwGm/EZbMZnsBmfwWZ8BttUxedpVbXb\neJVMRmiLkeSHVbX/VPdDIzM+g834DDbjM9iMz2AzPoPN+Aw24zPYBj0+TtOQJEmSJEl9ZTJCkiRJ\nkiT1lckIbUm+MtUd0JiMz2AzPoPN+Aw24zPYjM9gMz6DzfgMtoGOj8+MkCRJkiRJfeXICEmSJEmS\n1FcmIzStJdkpybwktyW5NclBSc5NcmP7WZrkxlZ3ZpKVPdvm9LTz/CQ3J1mS5AtJMnVntXlI8sye\na31jkj8kOSHJk5JcluRn7XXnVj/t2i9JclOS/Xraelur/7Mkb5u6s9p8jBGfz7b76aYk30qyU6vv\n/dNHY8TnE0nu6Cl/dc8+H24x+GmSQ3vKX9nKliSZPTVntHkZIz6+/wyIJO9P8uMktyT5ZpLtkvxZ\nkmvbtT43ybat7mPb+pK2fWZPOyPeV3p0RonP2e0635LkrCTbtLqzktzbc/+c1NOO/79tAqPEZ26S\nX/TEYd9W19/f+myU+Czsic3/SXJhqzvY909V+ePPtP0Bvg68sy1vC+w0bPvfAye15ZnALaO0cx1w\nIBDgu8CrpvrcNqcfYCvg18DTgL8DZrfy2cBn2vKr27VPi8W1rfxJwO3tdee2vPNUn9Pm9DMsPocA\nW7fyz/TEx/tnMOLzCeDEEeo8G1gMPBb4M+Dnbb+t2vKe7f/IxcCzp/qcNqef3vgMK/f9Z+piMgP4\nBbB9Wz8POKa9vqmVzQH+qi2/B5jTlt8EnNuWR7yvpvr8pvvPGPF5dbsPAnyzJz6zgO+M0I7/v/U3\nPnOBI0ao7+9vAxCfYXXOB45uywN9/zgyQtNWkicCLwXOBKiqh6rq9z3bA7yR7g1trHaeDDyhqq6p\n7u78BvC6TdbxLdPLgZ9X1TLgcLokEu116FofDnyjOtcAO7XYHApcVlW/q6p7gMuAV/a3+5u9h+NT\nVZdW1epWfg3w1LF29P7pi977ZzSHA+dU1YNV9QtgCfCC9rOkqm6vqoeAc1pdTZ4N4uP7z0DYGtg+\nydbA44A7gf8MzGvbh7//DL0vzQNe3mI42n2lR294fP5PVV3cfgcouiTdmO8/+P/bprRBfMao6+9v\n/TdqfJI8ge7/ugvHaWMg7h+TEZrO/gxYDnwtyQ1Jzkjy+J7tLwF+U1U/692n1b0iyUta2QzgVz11\nftXKNHnexLpfynevqjvb8q+B3dvyDOCXPfsMxWG0ck2e3vj0Opburx1DvH+mxvD4HN+Gwp6VNs0J\n75+pNNL94/vPFKqqO4D/BvxvuiTEvcCPgN/3JFt7r/XD90nbfi+wC94/m8RI8amqS4e2t+kZbwUu\n6dntoCSLk3w3yXNamfHZBMaJz6fa+8/nkjy2lfn+00fj3T90SdbLq+oPPWUDe/+YjNB0tjWwH/Dl\nqnoecD/dsP8hR7H+L4h3Anu0uh8A/mfLHmoTanNyDwP+efi29tcPv9JnCo0WnyQfAVYDZ7ci758p\nMEJ8vgz8R2Bfupj8/RR1TYz5/5vvP1OoJekOp/ujxVOAx+NfZAfGSPFJ8paeKl8CflBVC9v69XTT\noJ4LfJHx/+KrR2GM+HwYeBZwAN3Uiw9NWSe3YBtx/wx//xno+8dkhKazXwG/qqpr2/o8uuQEbdjS\nG4Bzhyq3YZa/bcs/opsn9efAHaw/FPCprUyT41XA9VX1m7b+mzZ8b2iI8l2t/A7gT3v2G4rDaOWa\nHMPjQ5JjgNcCb24JI++fqbNefKrqN1W1pqrWAl9l3ZBx75+pMdL94/vP1HsF8IuqWl5Vq4ALgBfT\nDR/futXpvdYP3ydt+xOB3+L9s6mMFJ8XAST5OLAbXdIOgKr6Q1WtaMsXA9sk2RXjs6mMGJ+qurNN\nxXgQ+Bq+/0yVse6fXeniMn+o8qDfPyYjNG1V1a+BXyZ5Zit6OfCTtvwK4Laqenj4a5LdkmzVlvcE\nngHc3qYM/CHJgW2O6NHAt/t1HluA4Rnai4ChJyq/jXXX+iLg6PZU5gPphp3dCXwPOCTJzi0bfEgr\n0+RYLz5JXgn8v8BhVfVAT7n3z9QYHp8n92x7PXBLW74IeFO6bwX4M7r4XAcsAp6R7lsEtqWbUnBR\nX3q+ZRj+/xv4/jMI/jdwYJLHtes69PvB94EjWp3h7z9D70tHAP/aErGj3Vd6dEaKz61J3kn3nIGj\nWsIVgCT/odUjyQvoPr/8Fv9/21RGi8/QH5JCNxWg9/3H39/6Z8T4tG1H0D2s8o9DlQf9/tl6/CrS\nQPtr4Ox2E90OvL2VjzSH96XAJ5OsAtYCx1XV79q299A9JXh7ujny30WPWrpnePxfwH/tKT4VOC/J\nO4BldA95A7iY7onMS4AHaLGsqt8lOYXuP02AT/bETY/CKPH5B7onx1/W3ruuqarj8P7pu1Hi83fp\nvk6tgKVD26rqx0nOo/vAtRp4b1Wtae0cT/cL4FbAWVX1476dxGZslPiA7z9TrqquTTKPbnjyauAG\n4Ct0fy08J8nftrIz2y5nAv+UZAnwO7oYjnlf6ZEbIz730/1ecHV7/7mgqj5J9wHrr5KsBlbSfSNK\nAav9/23yjRGf7ybZje5bM24Ejmu7+PtbH40RH+j+7zp12C4Dff+kjcCVJEmSJEnqC6dpSJIkSZKk\nvjIZIUmSJEmS+spkhCRJkiRJ6iuTEZIkSZIkqa9MRkiSJEmSpL4yGSFJkiRJkvrKZIQkSdriJflE\nkhM3ot5zk9zYs35UkpVJtmnr+yS5aYLHXpBk/42s+6dJvp/kJ0l+nORvRqk3N8kvkhw3kb5sZB8+\nm+TXG3O9JEkazdZT3QFJkqSplGQivw/dDOyRZMequg94EXAr8DzgurZ+1QSOvdVE+gqsBv6fqro+\nyY7Aj5JcVlU/GaHuB6tq3gTbH1dVfTDJ/ZPdriRpy+LICEmSNOWSzExyW5Kzk9yaZF6Sx7VtByS5\nKsniJNcl2THJMUkuTHJZkqVJjk/ygSQ3JLkmyZPavu9Ksqjte35Pm3OTzElyLfB3w/ryriTfTbL9\n8H5W1Vrgh8ALW9HzgdPpkhC01ytbOy9v/bk5yVlJHtvKlyb5TJLrgf+757iPaf362yTHJflsz7Zj\nkvxDVd1ZVde3vtxHlwiZsRHXd26SL7TreHuSI1r5DkkuT3J96+fhPfG4NclX2wiMS0e6HpIkPVIm\nIyRJ0qB4JvClqtoL+APwniTbAucCf1NVzwVeAaxs9fcG3gAcAHwKeKCqngdcDRzd6lxQVQe0fW8F\n3tFzvKcCL6qqDwwVJDkeeC3wuqpayciuBF6U5PHAWmAB6ycjrkqyHTAXOLKq9qEbjfpXPW38tqr2\nq6pz2vrWwNnAz6rqo8D5wOt76h8JnNOzTpKZdCMyrh2ln8M9GTi4nd+preyPwOuraj/gZcDfJ0nb\n9gzg9Kp6DvB74C838jiSJI3LZIQkSRoUv6yqK9vy/6D74PxM4M6qWgRQVX+oqtWtzver6r6qWg7c\nC/yvVn4zMLMt751kYZKbgTcDz+k53j9X1Zqe9aOBVwFHVNWDY/TzKrqkwwuARVX1c+DpSXYDdmjr\nzwR+UVX/3vb5OvDSnjbOHdbmPwK3VNWn2nkuB25PcmCSXYBn0UZcQDeigS5hcUJV/WGMvva6sKrW\ntikduw81Bfx/7TkX/0I3ymJo2y+qauj5GD9i3TWVJOlRMxkhSZIGRY2zPlxvwmBtz/pa1j0Xay5w\nfBudcDKwXc8+w597MJTEeOo4x72GbjTGi+lGYQD8CnhTz/p4hh/7KuBlbUTFkHOAN9KNSPhWVRVA\ne1jm+cDZVXXBRh4P1r9eQ6Mf3gzsBjy/qvYFfsO6a9Rbfw0+a0ySNIlMRkiSpEGxR5KD2vJ/Af4N\n+Cnw5CQHALTnRUzkQ/GOwJ3tA/ybx6l7A/BfgYuSPGW0Su1ZDb8E3s665MPVwAmsG73wU2Bmkqe3\n9bcCV4xx7DOBi4Hzes7vW8DhwFG0KRptCsWZwK1Vddo457MxngjcVVWrkrwMeNoktClJ0rhMRkiS\npEHxU+C9SW4Fdga+XFUP0T0v4YtJFgOXsf7ohvF8jO6ZClcCt41Xuar+DTgRmJ9k1zGqXgk8tqp+\n2davBvakfZNGVf2RLlnxz22KyFpgzjjHPo0uIfJPSR5TVffQPefiaVV1Xav2YrrExn9OcmP7efV4\n5zWGs4H9Wx+PZiOukSRJkyFtxJ8kSdKUaQ9j/E5V7T3FXdksJJlLdz0n/as9W/ufAFZU1X/bFO1L\nkjZ/joyQJEna/NwLnJLkuMluuH3l6FvY8LkXkiRtNEdGSJIkjSDJ6XTTInp9vqq+NhX9kSRpc2Iy\nQpIkSZIk9ZXTNCRJkiRJUl+ZjJAkSZIkSX1lMkKSJEmSJPWVyQhJkiRJktRXJiMkSZIkSVJf/f/W\nATFrlnWFdQAAAABJRU5ErkJggg==\n",
            "text/plain": "<matplotlib.figure.Figure at 0x7fc40c881550>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "                           pcmark_Workv2                                     \\\n                                   count    mean        std     min     50%   \ntest tag    kernel                                                            \nwork single pelt16_utilest          10.0  8632.0  48.120220  8552.0  8647.0   \n            pelt8_utilest           10.0  8618.4  55.727910  8535.0  8622.0   \n            pelt8                   10.0  8540.0  53.456109  8403.0  8547.0   \n            pelt16                  10.0  8527.1  46.469703  8449.0  8531.0   \n            walt10                  10.0  7538.3  34.509419  7468.0  7537.0   \n            pelt32_utilest          10.0  7419.1  52.237598  7333.0  7429.0   \n            walt20                  10.0  7220.6  34.241625  7164.0  7215.5   \n            pelt32                  10.0  6893.7  68.146982  6774.0  6881.0   \n\n                                                               \n                                75%      95%      99%     max  \ntest tag    kernel                                             \nwork single pelt16_utilest  8658.25  8687.65  8695.93  8698.0  \n            pelt8_utilest   8644.00  8698.35  8718.87  8724.0  \n            pelt8           8569.75  8589.10  8597.02  8599.0  \n            pelt16          8566.50  8583.80  8589.56  8591.0  \n            walt10          7561.25  7581.20  7582.64  7583.0  \n            pelt32_utilest  7461.75  7477.85  7480.37  7481.0  \n            walt20          7239.25  7271.30  7273.46  7274.0  \n            pelt32          6953.00  6974.85  6984.57  6987.0  ",
            "text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th colspan=\"9\" halign=\"left\">pcmark_Workv2</th>\n    </tr>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th>count</th>\n      <th>mean</th>\n      <th>std</th>\n      <th>min</th>\n      <th>50%</th>\n      <th>75%</th>\n      <th>95%</th>\n      <th>99%</th>\n      <th>max</th>\n    </tr>\n    <tr>\n      <th>test</th>\n      <th>tag</th>\n      <th>kernel</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th rowspan=\"8\" valign=\"top\">work</th>\n      <th rowspan=\"8\" valign=\"top\">single</th>\n      <th>pelt16_utilest</th>\n      <td>10.0</td>\n      <td>8632.0</td>\n      <td>48.120220</td>\n      <td>8552.0</td>\n      <td>8647.0</td>\n      <td>8658.25</td>\n      <td>8687.65</td>\n      <td>8695.93</td>\n      <td>8698.0</td>\n    </tr>\n    <tr>\n      <th>pelt8_utilest</th>\n      <td>10.0</td>\n      <td>8618.4</td>\n      <td>55.727910</td>\n      <td>8535.0</td>\n      <td>8622.0</td>\n      <td>8644.00</td>\n      <td>8698.35</td>\n      <td>8718.87</td>\n      <td>8724.0</td>\n    </tr>\n    <tr>\n      <th>pelt8</th>\n      <td>10.0</td>\n      <td>8540.0</td>\n      <td>53.456109</td>\n      <td>8403.0</td>\n      <td>8547.0</td>\n      <td>8569.75</td>\n      <td>8589.10</td>\n      <td>8597.02</td>\n      <td>8599.0</td>\n    </tr>\n    <tr>\n      <th>pelt16</th>\n      <td>10.0</td>\n      <td>8527.1</td>\n      <td>46.469703</td>\n      <td>8449.0</td>\n      <td>8531.0</td>\n      <td>8566.50</td>\n      <td>8583.80</td>\n      <td>8589.56</td>\n      <td>8591.0</td>\n    </tr>\n    <tr>\n      <th>walt10</th>\n      <td>10.0</td>\n      <td>7538.3</td>\n      <td>34.509419</td>\n      <td>7468.0</td>\n      <td>7537.0</td>\n      <td>7561.25</td>\n      <td>7581.20</td>\n      <td>7582.64</td>\n      <td>7583.0</td>\n    </tr>\n    <tr>\n      <th>pelt32_utilest</th>\n      <td>10.0</td>\n      <td>7419.1</td>\n      <td>52.237598</td>\n      <td>7333.0</td>\n      <td>7429.0</td>\n      <td>7461.75</td>\n      <td>7477.85</td>\n      <td>7480.37</td>\n      <td>7481.0</td>\n    </tr>\n    <tr>\n      <th>walt20</th>\n      <td>10.0</td>\n      <td>7220.6</td>\n      <td>34.241625</td>\n      <td>7164.0</td>\n      <td>7215.5</td>\n      <td>7239.25</td>\n      <td>7271.30</td>\n      <td>7273.46</td>\n      <td>7274.0</td>\n    </tr>\n    <tr>\n      <th>pelt32</th>\n      <td>10.0</td>\n      <td>6893.7</td>\n      <td>68.146982</td>\n      <td>6774.0</td>\n      <td>6881.0</td>\n      <td>6953.00</td>\n      <td>6974.85</td>\n      <td>6984.57</td>\n      <td>6987.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Individual Tests Scores"
    },
    {
      "metadata": {
        "scrolled": false,
        "trusted": true
      },
      "cell_type": "code",
      "source": "for metric in pm_scores:\n    if metric == 'pcmark_Workv2':\n        continue\n    collector.report(workload='pcmark', metric=metric,\n                     sort_on='mean', ascending=False)",
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABCMAAAHxCAYAAABXgXZLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
            "text/plain": "<matplotlib.figure.Figure at 0x7fc37c5b1550>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "                           pcmark_VideoEditing                             \\\n                                         count    mean        std     min   \ntest tag    kernel                                                          \nwork single pelt8_utilest                 10.0  6322.8  19.187959  6274.0   \n            pelt16_utilest                10.0  6305.4  11.880890  6284.0   \n            pelt16                        10.0  6292.9  12.853447  6274.0   \n            pelt8                         10.0  6282.7  18.791547  6255.0   \n            pelt32_utilest                10.0  6169.5  42.768758  6111.0   \n            pelt32                        10.0  6129.6  10.647900  6104.0   \n            walt20                        10.0  6084.9   8.595218  6067.0   \n            walt10                        10.0  6052.7  10.349987  6036.0   \n\n                                                                       \n                               50%      75%      95%      99%     max  \ntest tag    kernel                                                     \nwork single pelt8_utilest   6327.0  6329.75  6340.65  6341.73  6342.0  \n            pelt16_utilest  6306.5  6312.00  6320.05  6324.01  6325.0  \n            pelt16          6290.5  6301.75  6311.40  6314.28  6315.0  \n            pelt8           6283.5  6292.25  6309.35  6315.47  6317.0  \n            pelt32_utilest  6174.0  6208.50  6215.10  6215.82  6216.0  \n            pelt32          6131.0  6136.25  6140.20  6141.64  6142.0  \n            walt20          6087.5  6090.50  6094.20  6095.64  6096.0  \n            walt10          6051.5  6055.75  6069.20  6070.64  6071.0  ",
            "text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th colspan=\"9\" halign=\"left\">pcmark_VideoEditing</th>\n    </tr>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th>count</th>\n      <th>mean</th>\n      <th>std</th>\n      <th>min</th>\n      <th>50%</th>\n      <th>75%</th>\n      <th>95%</th>\n      <th>99%</th>\n      <th>max</th>\n    </tr>\n    <tr>\n      <th>test</th>\n      <th>tag</th>\n      <th>kernel</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th rowspan=\"8\" valign=\"top\">work</th>\n      <th rowspan=\"8\" valign=\"top\">single</th>\n      <th>pelt8_utilest</th>\n      <td>10.0</td>\n      <td>6322.8</td>\n      <td>19.187959</td>\n      <td>6274.0</td>\n      <td>6327.0</td>\n      <td>6329.75</td>\n      <td>6340.65</td>\n      <td>6341.73</td>\n      <td>6342.0</td>\n    </tr>\n    <tr>\n      <th>pelt16_utilest</th>\n      <td>10.0</td>\n      <td>6305.4</td>\n      <td>11.880890</td>\n      <td>6284.0</td>\n      <td>6306.5</td>\n      <td>6312.00</td>\n      <td>6320.05</td>\n      <td>6324.01</td>\n      <td>6325.0</td>\n    </tr>\n    <tr>\n      <th>pelt16</th>\n      <td>10.0</td>\n      <td>6292.9</td>\n      <td>12.853447</td>\n      <td>6274.0</td>\n      <td>6290.5</td>\n      <td>6301.75</td>\n      <td>6311.40</td>\n      <td>6314.28</td>\n      <td>6315.0</td>\n    </tr>\n    <tr>\n      <th>pelt8</th>\n      <td>10.0</td>\n      <td>6282.7</td>\n      <td>18.791547</td>\n      <td>6255.0</td>\n      <td>6283.5</td>\n      <td>6292.25</td>\n      <td>6309.35</td>\n      <td>6315.47</td>\n      <td>6317.0</td>\n    </tr>\n    <tr>\n      <th>pelt32_utilest</th>\n      <td>10.0</td>\n      <td>6169.5</td>\n      <td>42.768758</td>\n      <td>6111.0</td>\n      <td>6174.0</td>\n      <td>6208.50</td>\n      <td>6215.10</td>\n      <td>6215.82</td>\n      <td>6216.0</td>\n    </tr>\n    <tr>\n      <th>pelt32</th>\n      <td>10.0</td>\n      <td>6129.6</td>\n      <td>10.647900</td>\n      <td>6104.0</td>\n      <td>6131.0</td>\n      <td>6136.25</td>\n      <td>6140.20</td>\n      <td>6141.64</td>\n      <td>6142.0</td>\n    </tr>\n    <tr>\n      <th>walt20</th>\n      <td>10.0</td>\n      <td>6084.9</td>\n      <td>8.595218</td>\n      <td>6067.0</td>\n      <td>6087.5</td>\n      <td>6090.50</td>\n      <td>6094.20</td>\n      <td>6095.64</td>\n      <td>6096.0</td>\n    </tr>\n    <tr>\n      <th>walt10</th>\n      <td>10.0</td>\n      <td>6052.7</td>\n      <td>10.349987</td>\n      <td>6036.0</td>\n      <td>6051.5</td>\n      <td>6055.75</td>\n      <td>6069.20</td>\n      <td>6070.64</td>\n      <td>6071.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABCMAAAHxCAYAAABXgXZLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4wLCBo\ndHRwOi8vbWF0cGxvdGxpYi5vcmcvpW3flQAAIABJREFUeJzs3XucXVWd5/3P1wSbCAhokJa0TMbb\nCIYGEcQbdtnDE+3BptG2ZRjb7oiXcdqRQUfG+OANbcZ4GWxa6c4oIDp2IwoIjGECghSkadAgEETR\nEe3QXlpJFPMQiJrL7/lj7yInRVUqlVTtU1X5vF+vep191ll7rd/eq6qS86u11klVIUmSJEmS1JVH\n9TsASZIkSZK0ezEZIUmSJEmSOmUyQpIkSZIkdcpkhCRJkiRJ6pTJCEmSJEmS1CmTEZIkSZIkqVMm\nIyRJ0qRI8r4kn+t3HLsiyfwklWR2v2OZCpL8nyR/PgHt7NJ9TfL/JjlvV+OQJPWPyQhJkqQJ1PNG\ne3379bMkX07y/4yjjUVJ/mEn+rx9WPncJL9JsnoclzCqqvqDqvrMRLS1o5IMJPnRsDj+e1W9vss4\nJEkTy2SEJEmacDNhJsEEXMN+VbU3cDjwFeBLSRbtcmDb95gkC3qe/wfgnya5T0mSxs1khCRJM0CS\n1UnemeTbSe5P8ukke7av/VGSO5L8f0m+n+Slbflgkr9M8o/tX/D/d5LHJ/m7tu7KJPN7+jgnyQ/b\n176R5Nie196X5JIkn0vy/wGLhsW3R5KLklya5NEjxD90/sVJHkhyW5LDe15/UpLLkqxJ8vMkn2jL\nFyW5KcnHkvwyyQ+SPL8t/2GS+3qXFSQ5Psnt7TX8MMn7el4bml3wuiT/DHx1hDj/uL3XC4a/Npqq\n+mlVnQO8D/hQkke1bS1ux+OBdtxe3pYfAiwFnteOyy/Hir3H/wJ6l1H8GfDZYdcwYr899/Mfkny0\n/T76pyR/0PP6YJLX99S9KcknkqxL8p0k/7an7uokx/U8H3XZTpLXJrm7jekHSf5jW74X8H+Ag7J1\npslBw9tKckKSb7XfA4PtPeyN4+1J7mzjvHjoZ0OS1D8mIyRJmjleDbwEeArwdOBdSZ5D82b0dGA/\n4EXA6p5z/j3wGmBee97NwKeBxwF3A+/tqbsSOKJ97e+BLw57U/dHwCVtP383VJhkDnA58GvgVVX1\nmyQvHHqTPez8L/a0f3mbxJgFfBm4F5jfxvr5nvOOAe4EHt+e93ngaOCpwJ8Cn0iyd1v3QZo36PsB\nxwP/KcmJw+L4PeCQ9l4+LMlrgQ8Bx1XVXYzfZcATgH/TPv8+cCywL3Am8LkkT6yqu4E3ATdX1d5V\ntd84Yv8c8O+TzEpyKLA38LVhdUbst+f1Y4DvAnOBDwPnJ8ko13RM295cmu+Vy5I8bofuxrbuA14G\nPBZ4LfCxJEdW1YPAHwA/ae/F3lX1k94TkzwduAg4DTgAuAr438OSXq8CXgr8a+B3GZYskyR1z2SE\nJEkzxyeq6odV9QvgLOBk4HXABVX1laraUlU/rqrv9Jzz6ar6flWto/kL9Per6tqq2kSTGHjWUMWq\n+lxV/byqNlXV/wB+i61vrKF583x528+GtuyxwHKaN6yvrarNbVv/0PMme8g3quqSqtoInA3sCTwX\neA5wEHB6VT1YVb+qqt79FP6pqj7dtn0x8CTg/VX166q6BvgNTWKCqhqsqm+2Md5J8yb294bF8b62\nnw09ZafRJHQGquqeUUdg+4beRD+ujeWLVfWTNpaLge+11zqiHYz9RzSJhONoEhf/a4R2xur33qr6\nVHs/PwM8EThwlLDuA/6qqja2bX2XJlEyLlW1rP0+rKq6AbiGJmGyI04ClrXf4xuBjwJzgOf31Pnr\n9pp/AfxvmqSaJKmPTEZIkjRz/LDn+F6aN/BPokkEjOZnPccbRng+NKOAdqr73e1U91/S/GV97ij9\nD3kuzV+il1RV7Wj8VbWF5o310DXc2yZIduQaqKoRryPJMUmub5d7rKOZgdB7DaNdx+nAuVX1oxFe\n21Hz2sdftLH8WZrlM79s7+eCEWJ52A7GDs1MmEU0yahHJCN2oN+fDh1U1UPt4d6M7MfDxnXo+25c\nkvxBkluS/KKN6d+xnXsxzEFtv0Mxb6EZw3k9dX7ac/wQo1+PJKkjJiMkSZo5ntRzfDDNX+J/SLP8\nYpek2R/iv9FMd9+/ndWwDuidvj9SsuEa4IPAdUlG++v6kIfjb/dV+B22XsPBmZhNMf8euBJ4UlXt\nS7M3w/AlCCNdx0KaZS9/vAt9v5xmJsF3k/wr4FPAfwYe397Pu3piGSmGHYkd4FKa2Qk/qKp/7n1h\nB/odr3nDlnAMfd9Bs6zkMT2v/fZIDST5rTbmjwIHtjFdxfbvRa+fAP+qp73QfC/9eAevQZLUByYj\nJEmaOd6c5HfaNftn0CxZOB94bZJ/m+RRSeYlecZOtL0PsAlYA8xO8h6aJRhjqqoP07yRvi7J9v7a\n/ewkr2iTDqfR7DFxC/B14F+AJUn2SrJnkhfsxDUMXccvqupX7X4a/2EHz/sWzZ4D5yY5YTwdJjkw\nyX+m2VPhne1f7veieZO9pq3zWpoZCkN+BvzOsH0Pdij2dp+F3wdG+ujLsfodrycAp7Z7e/wJzV4b\nV7Wv3UGzf8UeSY4CXjlKG4+mWfKzBtjUbpi5sOf1nwGPT7LvKOd/ATi+/R7fA/ivNN87/7gL1yVJ\nmmQmIyRJmjn+nmYmwg9olmb8ZVV9nXZDQJqZDDfQ81fkcbiaZu+H/0szJf5XjLycYURV9QGaTSyv\nTfK4JMcmWT+s2hU06//vp9lU8xXtXgSbgT+k2ffhn2mWb5y0E9cA8BfA+5M8ALyH5o3sjl7DKppN\nFj/V+wkT2/HLJA8C36RZdvAnVXVB29a3gf9Bs2Hoz4DDgJt6zv0qTQLkp0nWjjf2qrq1qh6xPGcH\n+h2vrwFPA9bS7FPyyqr6efvau2lm5dxPs1Hm348S6wPAqTTXcz9NkuXKnte/Q7M/xg/apSUHDTv/\nuzQblX68jeMPgT+sqt/swnVJkiZZxl6+KUmSprokq4HXV9W1/Y5lZ6T5mMqnVtWf9jsW7Zgki2i+\n517Y71gkSdOPMyMkSZIkSVKnTEZIkiSNU5JXJ1k/wte3+h2bJEnTgcs0JEmSJElSp5wZIUmSJEmS\nOmUyQpIkSZIkdWp2vwPQ7mXu3Lk1f/78foexjQcffJC99tqr32FoFI7P1OcYTW2Oz9Tm+Extjs/U\n5xhNbY7P1DZZ4/ONb3xjbVUdMFY9kxHq1Pz587n11lv7HcY2BgcHGRgY6HcYGoXjM/U5RlOb4zO1\nOT5Tm+Mz9TlGU5vjM7VN1vgkuXdH6rlMQ5IkSZIkdcpkhCRJkiRJ6pTJCEmSJEmS1CmTEZIkSZIk\nqVMmIyRJkiRJUqdMRkiSJEmSpE6ZjJAkSZIkSZ0yGSFJkiRJkjplMkKSJEmSJHXKZIQkSZIkSeqU\nyQhJkiRJktQpkxGSJEmSJKlTs/sdgCRJkqSJcfiZ17Buw8Z+hzHh9jlkMQ/cvWTkF5cv6zaYaWbf\nOXuw6r0L+x2G9AgmIyRJkqQZYt2Gjaxecny/w5hwh31m8YjXNTg4yMDAQPcBTSPzF5us0dTkMg1J\nkiRJktQpkxGSJEmSJKlTJiMkSZIkSVKnTEZIkiRJkqROmYyQJEmaJEn6HYIkaYaZKf+2mIyQJEmS\nJEmdMhkhSZIkSZI6ZTJCkiRJkiR1asxkRJI5SW5IMmsiO06yfgLaeH+S4/oZwzj6WpTkE+3xiUkO\n7XntT5J8K8mWJEcNO+93k9zcvv7NJHvuRN/D+3v4viUZHN7nTrb50SS/P952JEmSpJ21btM6Fi1f\nxNoNa/sdiqRx2pGZEacAl1XV5onoMI0JmZFRVe+pqmsnoq2OnQgc2vP8LuAVwI29lZLMBj4HvKmq\nngkMABt3tb8Jum/Dr+HjwOJdbFOSJEnaYcvXLee2n93G0lVL+x2KpHHakaTAq4ErAJKcm+SE9vhL\nSS5oj09JclZ7/LYkd7Vfp7Vl85N8N8lnad54P2mo8SRz27/8Hz9aAElmJbmwbfObSd7all+Y5JXt\n8eokZya5ra3zjLb8gCRfaWcWnJfk3iRzR+jj9CQrk9yZ5Myxbkrb34fbvr6e5Kk9/V3atrUyyQuG\nnfd84ATgI0nuSPKUqrq7qr47QjcLgTurahVAVf18e0mh3pkeSV7Z3p9H9Nd734adv7Adi9uSfDHJ\n3m35kiTfbu/NR0e5hnuBxyf57bHunSRJkrSr1jy0hq89+DWK4vJ7Lnd2hDTNzN7ei0keDTy5qla3\nRSuAY4ErgXnAE9vyY4HPJ3k28FrgGCDA15LcANwPPA3486q6pW2bJAe2bb2rqr6ynVCOAOZV1YL2\n3P1Gqbe2qo5M8hfA24HXA+8FvlpVH0zyUuB1I1znwja+57RxX5nkRVV14/C6w6yrqsOS/BnwV8DL\ngHOAj1XVPyQ5GLgaOGTohKr6xyRXAl+uqkvGaP/pQCW5GjgA+HxVfXiMc7YxUn8jfRRMm6B5F3Bc\nVT2Y5B3A25KcC7wceEZVVZL9quqXo1zDbcALgEuHtf1G4I0ABx54IIODg+O5hEm3fv36KReTtnJ8\npj7HaGpzfPpv/uJl26+wfIzX1V/TcHxm6s/88Ou6+OcXs6W2ALBp8ybefdW7OenxJ/UhsqlvzN9D\nk2ka/gxNBxPxc97v/yNsNxkBzAV+2fN8BXBau1fAt4H9kzwReB5wKs2Sji9V1YMASS5ja/Li3qFE\nRGsP4DrgzVV1wxhx/AB4cpKPA8uAa0apd1n7+A2aZQ8AL6R5M01VLU9y/wjnLWy/bm+f702TnBgr\nGXFRz+PH2uPjgEN73vA/dmiGwU6YTRP/0cBDwHVJvlFV1+1ke9vzXJplFze1sT8auBlYB/wKOD/J\nl4Evb6eN+4CDhhdW1SeBTwIcddRRNTAwMKGB76rBwUGmWkzayvGZ+hyjqc3x6b/VS0ad/On4THHT\ncXzmL1427WLeIZ9hm+ta89AaVl62ks00k4Y3s5mVG1bygWM+wNw5j5gEvXtbvmy7v4cm03T8GZoO\n8iEm5L72e3zGWqaxAXh4w8Sq+jGwH/BSmjfqK4BXAeur6oEx2npw2PNNNEmDl4wVZFXdDxwODAJv\nAs4bpeqv28fNjJ1o6RXgg1V1RPv11Ko6fwfOqxGOHwU8t6eteVW1sxtl/gi4sarWVtVDwFXAkTsY\nz3g3ugzwlZ64D62q11XVJpoZI5fQzPxYvp029qT5npEkSZImzdI7lz48K2LIltri3hHSNLLdZESb\nBJg17BMcbgFOY2sy4u3tI+3jiUkek2QvmhkJKxhZ0cykeEa7JACAJN8ZXrFdQvCoqrqUZinB9t6Q\nD3cTTcJkaDnG/iPUuRo4pWePhHlJntAeX5dk3ihtn9TzeHN7fA3wlp7YjxjhvAeAfXYg9quBw9r7\nORv4PZoZKaP5WZJD2g1CXz7O/m4BXtCz98VeSZ7e3pN9q+oq4K00SaHR2nw6zZ4gkiRJ0qRZdd8q\nNm7Zdl/3jVs2csd9d/QpIknjtSOzB66hWSow9OkLK4CFVXVPknuBx7VlVNVtSS4Evt7WPa+qbk8y\nf6SGq2pzkpNp9mh4APgCzV/oh5sHfDpbP4XjnTsQ95AzgYuSvIYmYfBTmjfSvXFck+QQ4OZ2icJ6\n4E+TrAWeCvxilLb3T3InzYyMk9uyU4Fz2/LZNEmbNw077/PAp5KcCrwS+F2aT6M4AFiW5I6qeklV\n3Z/kbGAlTfLmqqra3qKrxTTLKNYAt9IsNxmpv0eoqjVJFtHcq99qi99Fc6+uaBNSAd42Spv/THOv\nbt1OfJIkSdIuu+SEZtuyfk8zl7TzdiQZcS7NX8SvBWiXL5zfHm8E9uqtXFVnA2cPK1sNLBhWtnf7\n+GvapRpJXtb2x7C6qxhhNkRVLeo5nt9zfCvNx2BCs+fBS6pqU5LnAUe3fT4cQ3t8Ds3mkw9LsgC4\ntKpGW3rwkap6R29BVa1l64yJ3vILgQvb45vY9mMxvw98aaQOqupzNB/vOaZ2M8lHbIo5Qn+Lel4b\n6Dn+Ks3+FMM9Z6w2k7wcuKRd1iFJkiRJ0qjGTEa0sx2uTzJrex8rORGqanubI+6sg4EvtLMqfgO8\nYRzx3MXWmQDavtnA/+h3EJIkSZKkqW+HNnmsqgsmO5DJUlXfA541Ce3On+g2d1SSrwG/Naz4NVX1\nzX7EA1BVX+xX35IkSZKk6WU8nzihKaKqjul3DJIkaWxVNXYlSZLGYab82zLWR3tKkiRJkiRNKJMR\nkiRJkiSpUyYjJEmSJElSp0xGSJIkSZKkTpmMkCRJkiRJnfLTNCRJkqQZZP7iZf0OYcLtc8h2rmv5\nzLveibTvnD36HYI0IpMRkiRJ0gyxesnx/Q5hkox8XYODgwwMDHQbiqQJ4TINSZIkSZLUKZMRkiRJ\nkiSpUyYjJEmSJElSp0xGSJIkSZKkTpmMkCRJkiRJnTIZIUmSJEmSOmUyQpIkSZIkdcpkhCRJkiRJ\n6pTJCEmSJEmS1CmTEZIkSZIkqVMmIyRJkiRJUqdMRkiSJEmSpE6ZjJAkSZIkSZ0yGSFJkiRJkjpl\nMkKSJEmSJHXKZIQkSZIkSeqUyQhJkiRJktQpkxGSJEmSJKlTJiMkSZIkSVKnTEZIkiRJkqROmYyQ\nJEmSJEmdMhkhSZIkSZI6ZTJCkiRJkiR1ymSEJEmSJEnqlMkISZIkSZLUqdn9DkCSJEmaKg4/8xrW\nbdi4tWD5sv4Fox2znTHa55DFPHD3kg6D2Xn7ztmDVe9d2O8wpM6YjJAkSZJa6zZsZPWS4wEYHBxk\nYGCgvwFpu8Yao8M+s/jh8Zzq5i828aXdi8s0JEmSJElSp0xGSJIkSZKkTpmMkCRJkiRJnTIZIUmS\nJEmSOmUyQpIkSZIkdcpkhCRJ6rsk/Q5BkjQD+O/J9GEyQpIkSZIkdcpkhCRJkiRJ6tSMSkYkmZPk\nhiSzJrjd9RPQxvuTHNfPGMbR16Ikn2iPT0xyaM9rRyS5JckdSW5N8py2/GVJ3t9VjJIkSZKk6WtG\nJSOAU4DLqmrzRDSWxoTco6p6T1VdOxFtdexE4NCe5x8GzqyqI4D3tM8BlgF/mOQxHccnSZKkCbbm\noTUsWr6ItRvW9jsUSTPUTEtGvBq4AiDJuUlOaI+/lOSC9viUJGe1x29Lclf7dVpbNj/Jd5N8FrgL\neNJQ40nmJrk5yfGjBZBkVpIL2za/meStbfmFSV7ZHq9OcmaS29o6z2jLD0jylSTfSnJeknuTzB2h\nj9OTrExyZ5Izx7opbX8fbvv6epKn9vR3advWyiQvGHbe84ETgI+0MyGeAhTw2LbKvsBPAKqqgEHg\nZWPFI0mSpKlt6Z1Lue1nt7F01dJ+hyJphpoxyYgkjwaeXFWr26IVwLHt8Ty2/nX/WODGJM8GXgsc\nAzwXeEOSZ7V1ngb8TVU9s6rubds/kOav/++pqmXbCeUIYF5VLaiqw4BPj1JvbVUdCfwt8Pa27L3A\nV6vqmcAlwMEjXOfCNr7ntH09O8mLthPPkHVtPJ8A/qotOwf4WFUdDfwxcF7vCVX1j8CVwOlVdURV\nfR84jSY58UPgo8A7e065la33XJIkSdPQmofWcMU9V1AUl99zubMjJE2K2f0OYALNBX7Z83wFcFq7\n38G3gf2TPBF4HnAqzZKOL1XVgwBJLqN5I30lcG9V3dLT1h7AdcCbq+qGMeL4AfDkJB+nSV5cM0q9\ny9rHbwCvaI9fCLwcoKqWJ7l/hPMWtl+3t8/3pklO3DhGXBf1PH6sPT4OOLTn428em2TvMdr5T8Bb\nq+rSJK8Czm/bAbgPOGj4CUneCLwR4MADD2RwcHCMLrq1fv36KReTtnJ8pj7HaGqbTuMzf/H2cv0z\n2PLd9LqnsKGfmen08zORLv75xWzavAmATZs38e6r3s1Jjz+pz1GNbEfGaDqN4Yz8PdiH33HTacz7\nqd+/42ZSMmIDsOfQk6r6cZL9gJfSvFF/HPAqYH1VPTDG588+OOz5JpqkwUuA7SYjqur+JIe3dd/U\n9nnKCFV/3T5uZnzjEOCDVfU/x3EONMsrhh8/CnhuVf1qmw62f2/+HPgv7fEX2XY2xZ4047Btx1Wf\nBD4JcNRRR9XAwMB44p50g4ODTLWYtJXjM/U5RlPbdBqf1UtGXQU5Y02n8dldzF+87OEx2R3HZ81D\na1h52Uo202zBtpnNrNywkg8c8wHmznnE6uG+G3OMPsP0GcPly2bc78F+/AzlQ9NozPus37/jZswy\njaq6H5iVZM+e4ltolhXcSDNT4u3tI+3jiUkek2QvmhkJKxhZ0SQUnpHkHUOFSb4zvGK7x8OjqupS\n4F3AkeO4jJtokhdDyzH2H6HO1cApQzMYksxL8oT2+Lok80Zp+6Sex5vb42uAt/TEfsQI5z0A7NPz\n/CfA77XHvw98r+e1p9PssyFJkqRpaOmdS9lSW7Yp21Jb3DtC0oSbSTMjoHlz/UJg6FMrVgALq+qe\nJPfSzI5YAVBVtyW5EPh6W/e8qro9yfyRGq6qzUlOBq5M8gDwBZpZCsPNAz7d8ykc7xyhzmjOBC5K\n8hqahMFPaZIBvXFck+QQ4OZ2BsN64E+TrAWeCvxilLb3T3InzYyMk9uyU4Fz2/LZNEmbNw077/PA\np5KcCrwSeANwTpLZwK9ol1+0XjzO65UkSdIUsuq+VWzcsnGbso1bNnLHfXf0KSJJM9VMS0acC7yV\nNhlRVefT7GlAVW0E9uqtXFVnA2cPK1sNLBhWtnf7+Gua5RckeVnbH8PqrmKE2RBVtajneH7P8a3A\nQPt0HfCSqtqU5HnA0W2fD8fQHp9Ds/nkw5IsAC6tqkcsk2h9pKre0VtQVWvZOmOit/xC4ML2+Ca2\n/WjP7wPPHn5Ou8HnnKr65ij9S5IkaYq75IRL+h2CpN3EjEpGtLMdrk8yq6o2T3JfX56EZg8GvtDO\nqvgNzSyEHY3nLuBtkxDTjjoY+K997F+SJEmSNE3MqGQEQFVd0O8YdlZVfQ941pgVx9/u/Iluc4Q+\nVk52H5IkSZKkmWHGbGApSZKmr6oau5IkSWPw35Ppw2SEJEmSJEnqlMkISZIkSZLUKZMRkiRJkiSp\nUyYjJEmSJElSp0xGSJIkSZKkTs24j/aUJEmSdsX8xcu2Plm+bPSKmhq2M0b7HDJsPKewfefs0e8Q\npE6ZjJAkSZJaq5cc//Dx4OAgAwMD/QtGYxp7jI7fzmuS+sllGpIkSZIkqVMmIyRJkiRJUqdMRkiS\nJEmSpE6ZjJAkSZIkSZ0yGSFJkiRJkjplMkKSJEmSJHXKZIQkSZIkSeqUyQhJkiRJktQpkxGSJEmS\nJKlTJiMkSZIkSVKnTEZIkiRJkqROmYyQJEmSJEmdMhkhSZIkSZI6ZTJCkiRJkiR1ymSEJEmSJEnq\nlMkISZIkSZLUKZMRkiRJkiSpUyYjJEmSJElSp0xGSJIkSZKkTpmMkCRJkiRJnTIZIUmSJEmSOmUy\nQpIkSZIkdcpkhCRJkiRJ6pTJCEmSJEmS1CmTEZIkSZIkqVOz+x2AJEmSNBUcfuY1rNuwcdvC5cv6\nE4zY55DFPHD3krErzuAx2nfOHqx678J+hyFNCpMRkiRJErBuw0ZWLzn+4eeDg4MMDAz0L6Dd3GGf\nWbzNeIxkpo/R/MUzN9EiuUxDkiRJkiR1ymSEJEmSJEnqlMkISZIkSZLUKZMRkiRJkiSpUyYjJEmS\nJElSp0xGSJKknZKk3yFIkqYx/x3ZvZmMkCRJkiRJnTIZIUmSJEmSOjXtkhFJ5iS5IcmsCW53/QS0\n8f4kx/UzhnH0tSjJJ9rjE5Mc2vPanyT5VpItSY4adt7vJrm5ff2bSfZsy69Nsn9X8UuSJEmSpq9p\nl4wATgEuq6rNE9FYGhNyH6rqPVV17US01bETgUN7nt8FvAK4sbdSktnA54A3VdUzgQFgY/vy/wL+\nYtIjlSRJ0oRb89AaFi1fxNoNa/sdiqTdxHRMRrwauAIgyblJTmiPv5Tkgvb4lCRntcdvS3JX+3Va\nWzY/yXeTfJbmjfeThhpPMrf9y//xowWQZFaSC9s2v5nkrW35hUle2R6vTnJmktvaOs9oyw9I8pV2\nZsF5Se5NMneEPk5PsjLJnUnOHOumtP19uO3r60me2tPfpW1bK5O8YNh5zwdOAD6S5I4kT6mqu6vq\nuyN0sxC4s6pWAVTVz3uSQlcCJ48VpyRJkqaepXcu5baf3cbSVUv7HYqk3cS0SkYkeTTw5Kpa3Rat\nAI5tj+ex9a/7xwI3Jnk28FrgGOC5wBuSPKut8zTgb6rqmVV1b9v+gcAy4D1VtWw7oRwBzKuqBVV1\nGPDpUeqtraojgb8F3t6WvRf4ajuz4BLg4BGuc2Eb33Pavp6d5EXbiWfIujaeTwB/1ZadA3ysqo4G\n/hg4r/eEqvpHmkTC6VV1RFV9fzvtPx2oJFe3SZb/1tPO/cBvJXn8DsQpSZKkKWLNQ2u44p4rKIrL\n77nc2RGSOjG73wGM01zglz3PVwCntfsdfBvYP8kTgecBp9Is6fhSVT0IkOQymkTFlcC9VXVLT1t7\nANcBb66qG8aI4wfAk5N8nCZ5cc0o9S5rH79Bs+wB4IXAywGqanmS+0c4b2H7dXv7fG+a5MSNI9Tt\ndVHP48fa4+OAQ3s+NuexSfYeo53RzKaJ/2jgIeC6JN+oquva1+8DDgJ+3ntSkjcCbwQ48MADGRwc\n3MnuJ8f69eunXEzayvGZ+hyjqW2yx2f+4u3l7rVDlnsPp5Len5fd5ffbxT+/mE2bNwGwafMm3n3V\nuznp8Sf1OarGWPd/dxijaf97dozfcTN9/Kayfv/8TLdkxAZgz6EnVfXjJPsBL6V5o/444FXA+qp6\nYIzPrX1w2PNNNEmDlwDbTUZU1f1JDm/rvqnt85QRqv66fdzM+O51gA9W1f8cxzkANcLxo4DnVtWv\ntulg5z7T90fAjVW1tm3jKuBImiQONGOz4RFBVX0S+CTAUUcdVQMDAzvT96QZHBxkqsWkrRyfqc8x\nmtome3xWLxl1VaN2gD8/U8v8xcu2GY/dYXzWPLSGlZetZDPNytvNbGblhpV84JgPMHfOI1YSd+sz\njHn/Z/wYLV82rX/PjjU++dBbRd7mAAAgAElEQVTYY6zJ0++fn2m1TKNdCjBr6BMcWrcAp9EkI1bQ\nLIdY0b62AjgxyWOS7EUzI2EFIyuahMIzkrxjqDDJd4ZXbPd4eFRVXQq8i+YN+Y66iSZ5MbQcY6RP\noLgaOGVoBkOSeUme0B5fl2TeKG2f1PN4c3t8DfCWntiPGOG8B4B9diD2q4HD2vs5G/g9mhkppMlu\n/DawegfakSRJ0hSw9M6lbKkt25RtqS3uHSFp0k2rZETrGpqlAkNWALOr6h7gNprZESsAquo24ELg\n68DXgPOq6nZG0W7GeDLw+0n+ok06jDSFYB4wmOQOmk+XeOc44j8TWJjkLuBPgJ/SJAN647gG+Hvg\n5iTfpNlbYp/2Uz+eCvxilLb3T3In8F+At7ZlpwJHtRthfptmJsdwnwdOT3J7kqckeXmSH9Esd1mW\n5Oo2rvuBs4GVwB3AbT17azwbuKWqNo3jXkiSJKmPVt23io1bNm5TtnHLRu64744+RSRpdzHdlmkA\nnEvzRvtagKo6Hzi/Pd4I7NVbuarOpnkD3Vu2GlgwrGzv9vHXNMsvSPKytj+G1V3FCLMhqmpRz/H8\nnuNbaT4GE2Ad8JKq2pTkecDRbZ8Px9Aen0Oz+eTDkiwALq2qRyyFaH2kqt7RW9AuqXjEor+qupAm\nUUNV3cS2H+35feBLI3VQVZ+jScAM9xrgb0aJS5IkSVPQJSdc0u8QJO2mpl0yoqpuS3J9klk9Hys5\nWX19eRKaPRj4QjvL4TfAG8YRz13A2yYhpolwV89GlpIkSZIkjWraJSMAquqCfsews6rqe8Czxqw4\n/nbnT3Sb4+z/U/3sX5IkSZI0fUzHPSMkSZIkSdI0ZjJCkiTtlKoau5IkSaPw35Hdm8kISZIkSZLU\nKZMRkiRJkiSpUyYjJEmSJElSp0xGSJIkSZKkTpmMkCRJkiRJnZrd7wAkSZKkqWL+4mXbFixfNnJF\nTbp9DhlhPEYyg8do3zl79DsEadKYjJAkSZKA1UuO3+b54OAgAwMD/QlGwPFj1nCMpOnLZRqSJEmS\nJKlTJiMkSZIkSVKnTEZIkiRJkqROmYyQJEmSJEmdMhkhSZIkSZI6ZTJCkiRJkiR1ymSEJEmSJEnq\nlMkISZIkSZLUKZMRkiRJkiSpUyYjJEmSJElSp0xGSJIkSZKkTpmMkCRJkiRJnTIZIUmSJEmSOmUy\nQpIkSZIkdcpkhCRJkiRJ6pTJCEmSJEmS1CmTEZIkSZIkqVMmIyRJkiRJUqdMRkiSJEmSpE6ZjJAk\nSZIkSZ0yGSFJkiRJkjplMkKSJEmSJHXKZIQkSZIkSeqUyQhJkiRJktQpkxGSJEmSJKlTs/sdgCRJ\nkqQdc/iZ17Buw8Z+hzGh9jlkMQ/cvWTnG1i+bOKC6YN95+zBqvcu7HcYUudMRkiSJEnTxLoNG1m9\n5Ph+hzGhDvvM4p2+psHBQQYGBiY2oI7NXzy9kynSznKZhiRJkiRJ6pTJCEmSJEmS1CmTEZIkSZIk\nqVMmIyRJkiRJUqdMRkiSJM0ASfodgqSO+XOv6cxkhCRJkiRJ6pTJCEmSJEmS1CmTEZIkSZIkqVO7\nlIxIMifJDUlmTVRAbbvrJ6CN9yc5rp8xjKOvRUk+0R6fmOTQnteOSHJLkjuS3JrkOTvR/n5J/qLn\n+UFJLmmPB5J8eQLaPCDJ8vG2I0kzzUUXXcSCBQuYNWsWCxYs4KKLLup3SJI0qjUPrWHR8kWs3bC2\n36FI2s3s6syIU4DLqmrzRASTxoTM1qiq91TVtRPRVsdOBA7tef5h4MyqOgJ4T/t8vPYDHk4cVNVP\nquqVuxTlI9tcA/xLkhfsYruSNG1ddNFFnHHGGXz84x/nV7/6FR//+Mc544wzTEhImrKW3rmU2352\nG0tXLe13KJJ2M7v6xv/VwBUASc5NckJ7/KUkF7THpyQ5qz1+W5K72q/T2rL5Sb6b5LPAXcCThhpP\nMjfJzUmOHy2AJLOSXNi2+c0kb23LL0zyyvZ4dZIzk9zW1nlGW35Akq8k+VaS85Lcm2TuCH2cnmRl\nkjuTnDnWTWn7+3Db19eTPLWnv0vbtlYOf+Oe5PnACcBH2pkQTwEKeGxbZV/gJ9vp931J3t7z/K4k\n84ElwFPaNj/S3vO7Rjh/ryQXtDHfnuSP2vJntmV3tPfgacPbbJu4nOZ7QpJ2S2eddRbnn38+L37x\ni9ljjz148YtfzPnnn89ZZ53V79Ak6RHWPLSGK+65gqK4/J7LnR0hqVOzd/bEJI8GnlxVq9uiFcCx\nwJXAPOCJbfmxwOeTPBt4LXAMEOBrSW4A7geeBvx5Vd3Stk2SA9u23lVVX9lOKEcA86pqQXvufqPU\nW1tVR7ZLC94OvB54L/DVqvpgkpcCrxvhOhe28T2njfvKJC+qqhu3f4dYV1WHJfkz4K+AlwHnAB+r\nqn9IcjBwNXDI0AlV9Y9JrgS+XFVDyyhOA65O8lGa5NHzx+h3JIuBBe3sCtoExUjOoLkfp7T38etJ\nrgXeBJxTVX/Xjvus4W22bgX+cnijSd4IvBHgwAMPZHBwcCcuYfKsX79+ysWkrRyfqc8x2uruu+9m\n8+bN29yPzZs3c/fdd/ftHjk+U9tEj8/8xcsmrC21lk+9ezpR3zMX//xiNm3eBMCmzZt491Xv5qTH\nnzQhbY/Xzl7TTPkdtys/u1P5+mfK+MxU/R6fnU5GAHOBX/Y8XwGc1u538G1g/yRPBJ4HnEqzpONL\nVfUgQJLL2Jq8uHcoEdHaA7gOeHNV3TBGHD8Anpzk48Ay4JpR6l3WPn4DeEV7/ELg5QBVtTzJ/SOc\nt7D9ur19vjdNcmKsZMRFPY8fa4+PAw7N1s8DfmySvcdo5z8Bb62qS5O8Cji/bWcyLARO6JldsSdw\nMHAzcEaS36FZlvO9jPyZxvcBBw0vrKpPAp8EOOqoo2pgYGASQt95g4ODTLWYtJXjM/U5Rlsdcsgh\nzJo1a5v7cf3113PIIYf07R45PlPbRI/P6iWjTibVTpiKPz/zFy+bkJjWPLSGlZetZDPNauvNbGbl\nhpV84JgPMHfOIyYKT67PsNPXNBXHaNyWL9vpn918aOfvXRdmxPjMYP0en11ZprGB5s0qAFX1Y5p9\nBF5K80Z9BfAqYH1VPTBGWw8Oe76JJmnwkrGCqKr7gcOBQZq/4J83StVft4+bGV8SJsAHq+qI9uup\nVXX+DpxXIxw/CnhuT1vzqmqsjTL/nK2JlC/SzNAYzSa2HdM9R6s4igB/3BPfwVV1d1X9Pc3ykQ3A\nVUl+f5Tz92zrSNJu6YwzzuB1r3sd119/PRs3buT666/nda97HWeccUa/Q5OkbSy9cylbass2ZVtq\ni3tHSOrMTicj2iTArCS9b3hvAU5jazLi7e0j7eOJSR6TZC+aGQkrGFnRzKR4RpJ3DBUm+c7wiu0e\nD4+qqkuBdwFHjuMybqJJmAwtx9h/hDpXA6cMzWBIMi/JE9rj65LMG6Xtk3oeb26PrwHe0hP7EcNP\nAh4A9ul5/hPg99rj3we+t53rWU17/UmOBP71KG2O5mrgLWmnPSR5Vvv4ZOAHVfXXNHuE/O4obT6d\nZt8PSdotnXzyyZx11lm85S1vYc899+Qtb3kLZ511FieffHK/Q5Okbay6bxUbt2zcpmzjlo3ccd8d\nfYpI0u5mV5ZpQPPm+oXA0KdWrAAWVtU9Se4FHteWUVW3JbkQ+Hpb97yqun20/QuqanOSk2n2aHgA\n+ALNX+6Hmwd8Ols/heOd44j/TOCiJK+hSRj8lOZNdm8c1yQ5BLi5fY++HvjTJGuBpwK/GKXt/ZPc\nSTMjY+h/oacC57bls2mSNm8adt7ngU8lORV4JfAG4Jwks4Ff0e69MIpLgT9L8i3ga8D/ba/h50lu\najet/D/AuaOc/wGa/S3ubO/nP9HsdfEq4DVJNrb36L9X1S9626yq04EX0yyVkaTd1sknn2zyQdKU\nd8kJl/Q7BEm7uV1NRpwLvJU2GdEuXzi/Pd4I7NVbuarOBs4eVrYaWDCsbO/28de0SzWSvIwR3kRX\n1SpGmA1RVYt6juf3HN8KDLRP1wEvqapNSZ4HHN32+XAM7fE5NJtPPizJAuDSqhptWcJHquodvQVV\ntZatMyZ6yy8ELmyPb2Lbj/b8PvDsUfoY3s4Gmn0fRnrtPwwrWtCWD9IscRk6/z+OcO4Smk/PGKvN\nE4A/2pFYJUmSJEm7r11KRrSzHa5PMquqNk9UUKP09eVJaPZg4AvtLIDf0MxC2NF47gLeNgkxTUtJ\nDgDObpfvSJIkSZI0ql2dGUFVXTARgfRDVX0PeNYktDt/otvsleS1wH8ZVnxTVb15MvvdnqpaA1ze\nr/4lSZIkSdPHLicj1L2q+jTw6X7HIUmSpo6qGruSpBnFn3tNZ7vy0Z6SJEmSJEnjZjJCkiRJkiR1\nymSEJEmSJEnqlMkISZIkSZLUKZMRkiRJkiSpU36ahiRJkjSNzF+8rN8hTKh9DtnFa1o+ve/HvnP2\n6HcIUl+YjJAkSZKmidVLju93CJNg569pcHCQgYGBiQtFUmdcpiFJkiRJkjplMkKSJEmSJHXKZIQk\nSZIkSeqUyQhJkiRJktQpkxGSJEmSJKlTJiMkSZIkSVKnTEZIkiRJkqROmYyQJEmSJEmdMhkhSZIk\nSZI6ZTJCkiRJkiR1ymSEJEmSJEnqlMkISZIkSZLUKZMRkiRJkiSpUyYjJEmSJElSp0xGSJIkSZKk\nTpmMkCRJkiRJnTIZIUmSJEmSOmUyQpIkSZIkdcpkhCRJkiRJ6pTJCEmSJEmS1CmTEZIkSZIkqVMm\nIyRJkiRJUqdMRkiSJEmSpE6ZjJAkSZIkSZ0yGSFJkiRJkjo1u98BSJIkzUSHn3kN6zZsHLvi8mWT\nH4weYZ9DFvPA3UvGrjgNxmffOXuw6r0L+x2GJI2LyQhJkqRJsG7DRlYvOX67dQYHBxkYGOgmIG3j\nsM8snjHjM3/x1E+YSNJwLtOQJEmSJEmdMhkhSZIkSZI6ZTJCkiRJkiR1ymSEJEmSJEnqlMkISZIk\nSZLUKZMRkiTtgCT9DkGSdiv+3pVmNpMRkiRJkiSpUyYjJEmSJElSp6ZVMiLJnCQ3JJk1we2un4A2\n3p/kuH7GsBN9vi/J29vjRUkO6nnt75J8N8ldSS5IskdbniR/neSeJHcmObItPyDJ8q6vQZIkSZI0\n/UyrZARwCnBZVW2eiMbaN9YTcg+q6j1Vde1EtNUni4CDep7/HfAM4DBgDvD6tvwPgKe1X28E/hag\nqtYA/5LkBR3FK0mSppE1D61h0fJFrN2wtt+hSJKmgOmWjHg1cAVAknOTnNAefynJBe3xKUnOao/f\n1v5l/64kp7Vl89u/+H8WuAt40lDjSeYmuTnJ8aMFkGRWkgvbNr+Z5K1t+YVJXtker05yZpLb2jrP\naMsPSPKVJN9Kcl6Se5PMHaGP05OsbGcenLm9G5Lk6CSXtcd/lGRDkkcn2TPJD9ryN7TtrUpyaZLH\nDGvjlcBRwN8luSPJnKq6qlrA14Hfaav/EfDZ9qVbgP2SPLF97fJ2jCRJkrax9M6l3Paz21i6amm/\nQ5EkTQHTJhmR5NHAk6tqdVu0Aji2PZ4HHNoeHwvcmOTZwGuBY4DnAm9I8qy2ztOAv6mqZ1bVvW37\nBwLLgPdU1bLthHIEMK+qFlTVYcCnR6m3tqqOpJk58Pa27L3AV6vqmcAlwMEjXOfCNr7ntH09O8mL\nthPP7W29oWu/Czi6ve6vteWXVdXRVXU4cDfwut4GquoS4Fbg1VV1RFVt6IlnD+A1wNASjHnAD3tO\n/1FbRtvGsUiSJPVY89AarrjnCori8nsud3aEJInZ/Q5gHOYCv+x5vgI4LcmhwLeB/du/0D8POJVm\nSceXqupBgHb2wLHAlcC97V/1h+wBXAe8uapuGCOOHwBPTvJxmuTFNaPUu6x9/Abwivb4hcDLAapq\neZL7RzhvYft1e/t8b5rkxI0jdVJVm5J8P8khNAmMs4EXAbNo7hHAgiR/CezXtnf1GNfY62+AG6tq\nxZg14T62XeoBQJI30izp4MADD2RwcHAc3U++9evXT7mYtJXjM/XtTmM0f/H2ctVT2PJpGvcMMNbP\nxu7y83Pxzy9m0+ZNAGzavIl3X/VuTnr8SX2OamaNz7T9/TSGmTRGuyPHZ2rr9/hMp2TEBmDPoSdV\n9eMk+wEvpXmj/jjgVcD6qnpgjM8lfnDY8000SYOXANtNRlTV/UkOb+u+qe3zlBGq/rp93Mz47nOA\nD1bV/xzHOTfS7OWwEbgWuJAmGXF6+/qFwIlVtSrJImBghwJJ3gscAPzHnuIf07O0hWb5xo/b4z1p\nxmkbVfVJ4JMARx11VA0M7FD3nRkcHGSqxaStHJ+pb3cao9VLRl3FN2XtTuMz1cxfvGzMe787jM+a\nh9aw8rKVbKbZ8mszm1m5YSUfOOYDzJ3ziNWq3fkMM2d8li+blr+fxpIPzaAx2k05PlNbv8dn2izT\nqKr7gVlJ9uwpvgU4jebN+Aqa5RBDf8FfAZyY5DFJ9qKZkTDaX/eLJqHwjCTvGCpM8p3hFds9Hh5V\nVZcC7wKOHMdl3ESTvBhajrH/CHWuBk5Jsndbb16SJ7TH1yWZN8I5K2juw83tRpKPB/4NzZINgH1o\nNpfcg9H3dHigrTd0na+nSbicXFVbeupdCfxZu/nnc4F1VfUv7WtP7+lTkiSJpXcuZcs2/5WALbXF\nvSMkaTc3nWZGQLMk4oU0f/2H5k34wqq6J8m9NLMjVgBU1W1JLqTZfBHgvKq6Pcn8kRquqs1JTgau\nTPIA8AWaWQrDzQM+3fMpHO8cR/xnAhcleQ1wM/BTmiRAbxzXtEsubm5nd6wH/jTJWuCpwC9GaPdr\nwIFsXcpxJ/Db7eaTAO9u66xpH/d5RAvN7ImlSTbQLHVZCtzbE8dlVfV+4Crg3wH3AA/R7Msx5MU0\nS1ckSZIAWHXfKjZu2bhN2cYtG7njvjv6FJEkaSqYbsmIc4G30iYjqup84Pz2eCOwV2/lqjqbZg+F\n3rLVwIJhZXu3j7+mmQ1Akpe1/TGs7ipGmA1RVYt6juf3HN/K1mUR64CXtPs8PA84uu3z4Rja43OA\nc3rbT7IAuLR3c8me+huA3+p5/sZhr/8t7UdwDit/X8/xpcClPS+P+L3RJjjePNJrwAk0n7YhSZIE\nwCUnXNLvECRJU9C0Ska0sx2uTzKrqjZPcl9fnoRmDwa+0M6q+A3whnHEcxfwtkmIaUIkOQA4u11O\nI0mSJEnSqKZVMgKgqi7odww7q6q+BzxrzIrTULtXxeX9jkOSJEmSNPVNmw0sJUnqp63b8EiSuuDv\nXWlmMxkhSZIkSZI6ZTJCkiRJkiR1ymSEJEmSJEnqlMkISZIkSZLUKZMRkiRJkiSpU9Puoz0lSZKm\ni/mLl41dafkO1NGE2+eQmTM++87Zo98hSNK4mYyQJEmaBKuXHD9mncHBQQYGBiY/GI3A8ZGkfnKZ\nhiRJkiRJ6pTJCEmSJEmS1CmTEZIkSZIkqVMmIyRJkiRJUqdMRkiSJEmSpE6ZjJAkSZIkSZ0yGSFJ\nkiRJkjplMkKSJEmSJHXKZIQkSZIkSeqUyQhJkiRJktQpkxGSJEmSJKlTJiMkSZIkSVKnTEZIkiRJ\nkqROmYyQJEmSJEmdMhkhSZIkSZI6ZTJCkiRJkiR1ymSEJEmSJEnqlMkISZIkSZLUKZMRkiRJkiSp\nUyYjJEmSJElSp0xGSJIkSZKkTpmMkCRJkiRJnTIZIUmSJEmSOmUyQpIkSZIkdcpkhCRJkiRJ6tTs\nfgcgSZI0XoefeQ3rNmzsdxgTY/mySWt6n0MW88DdSyat/S7sO2cPVr13Yb/DkCRNMJMRkiRp2lm3\nYSOrlxzf7zB22eDgIAMDA5PW/mGfWTzt79P8xZOXrJEk9Y/LNCRJkiRJUqdMRkiSJEmSpE6ZjJAk\nSZIkSZ0yGSFJkiRJkjplMkKSJEmSJHXKZIQkST2S9DsESZPEn29JmjpMRkiSJEmSpE6ZjJAkSZIk\nSZ2aVsmIJHOS3JBk1gS3u34C2nh/kuP6GcNO9Pm+JG9vjxclOajntf+c5J4klWRuT3mS/HX72p1J\njmzLD0iyvOtrkCRJkiRNP9MqGQGcAlxWVZsnorH2jfWE3IOqek9VXTsRbfXJIuCgnuc3AccB9w6r\n9wfA09qvNwJ/C1BVa4B/SfKCSY9UmmQXXXQRCxYsYNasWSxYsICLLrqo3yFJmuHWPLSGRcsXsXbD\n2n6HImma8v8vmm6mWzLi1cAV/3979x8mWVXf+/79cQBFQUVQomPI6PHXIAoKKEYxMzcGTPQqKo9I\njEpAPZ6oHPRqxENEkcOV6DkaRZSo4Oi5HtQAAgEd8QejEwUZBAZQMBIdriEqoIiMjDA/vuePvRqK\npnt6epjeVd3zfj1PP7Vq1dprr9rf3tVd31prF0CSk5O8qJW/lOS0Vj48yQmt/NYkV7efo1rdgiQ/\nSvJZ4GrgD8c6T7JLkouSvGCyASSZl2RJ6/OqJG9p9UuSHNzKq5Icl+Sy1uZJrf7hSb6W5AdJPpXk\n+sFZBwP7eHuSFW3mwXEbOyBJ9k1yViu/OMmaJNsleUCSn7T617X+ViY5M8kDx/VxMLAP8LkkVyTZ\nvqour6pVE+zyxcBnq3Mx8NAkj2yPnU0XI2nWOv300znmmGM46aST+P3vf89JJ53EMccc4x90STPq\nlCtP4bJfXsYpK08Z9lAkzUL+/6LZaNYkI5JsBzx24A3ycmD/Vp4P7N7K+wPfTrI38NfAM4H9gNcl\neVpr83jgY1X15Kq6vvW/K3A+cGxVnb+RoewFzK+qParqKcCnJ2l3c1U9nW7mwNta3buBb1bVk4Ez\ngN0meJ4HtPE9o+1r7yTP3ch4Lm/txp771cC+7Xl/r9WfVVX7VtWewDXAEYMdVNUZwKXAK6tqr6pa\ns5H9zQd+NnD/31sdrY/977WFNIuccMIJnHrqqSxevJhtt92WxYsXc+qpp3LCCScMe2iS5qibbr+J\nc647h6I4+7qznR0hadr8/0Wz0TbDHsA07AL8ZuD+cuCoJLsDPwR2ap/QPws4km5Jx5eq6ncAbfbA\n/sC5wPXtU/0x2wLfAN5YVd+aYhw/AR6b5CS65MUFk7Q7q91+H3hpKz8HeAlAVS1NcssE2x3Qfi5v\n93egS058e6KdVNW6JP+WZCFdAuODwHOBeXTHCGCPJP8deGjr76tTPMfNdSP3XOoBQJLX0y3pYNdd\nd2XZsmUztPvNs3r16pEbk+7Wd3yuueYa1q9ff499rl+/nmuuucbfk0nMxXNowdEby0nPQkvn2PNp\n5sLv3erVqzn2K8eybv06ANatX8e7vvwuDtn5kC22j7lwnLbkOTmd4zEXX9/mGmPUGdX/X4zPaBt2\nfGZTMmIN8ICxO1V1Q5KHAs+ne6P+MODlwOqqum2K75H+3bj76+iSBgcCG01GVNUtSfZsbd/Q9nn4\nBE3vaLfrmd5xDvC+qvrHaWzzbbprOawFvg4soUtGvL09vgQ4qKpWJjkMWDSNvse7gYGlLcCjWx10\n8bnXrIqq+gTwCYB99tmnFi26L7vf8pYtW8aojUl36zs+CxcuZN68effY54UXXsjChQv9PZnEXDyH\nVp046Wq9WWcuxge6N6dz4Xmd8/VzWPGbFaynuxzWetazYs0Kjn/m8eyy/b1Wck7fZ5j9x2np+Vvs\nnMzfT+94zNXzZy4xRp1R/f/F+Iy2Ycdn1izTqKpbgHlJHjBQfTFwFN2b8eV0yyHGZgMsBw5K8sAk\nD6KbkbCciRVdQuFJSd4xVpnk2vEN2zUe7ldVZwJ/Bzx9Gk/jO3TJi7HlGDtN0OarwOFJdmjt5id5\nRCt/I8n8CbZZTnccLmoXktwZeCLdkg2AHekuLrktk1/T4bbWbirnAq9uF//cD7i1qn7eHnvCwD6l\nWemYY47hiCOO4MILL2Tt2rVceOGFHHHEERxzzDHDHpqkOWjprUvZUBvuUbehNnjtCEnT4v8vmo1m\n08wI6JZEPIfu03/o3oQfUFXXJbmebnbEcoCquizJEuCS1vZTVXV5kgUTdVxV65McCpyb5Dbgi3Sz\nFMabD3x64Fs43jmN8R8HnJ7kVcBFwC/okgCD47igLbm4qM3uWA38VZKbgccBv56g3+8Bu3L3Uo4r\ngT+oqmr339Xa3NRuJ0o6LAFOSbKGbqnL64C/Bf4AuDLJl6vqtcCXgb8ArgNup7sux5jFdEtXpFnr\n0EMPBeDNb34z11xzDQsXLuSEE064q16StqSf3vFT1m5Ye4+6tRvWcsWNVwxpRJJmI/9/0Ww025IR\nJwNvoSUjqupU4NRWXgs8aLBxVX2Q7hoKg3WrgD3G1e3Qbu+gW35Bkhe2/TGu7UommA1RVYcNlBcM\nlC/l7mURtwIHtus8PAvYt+3zrjG08oeBDw/2n2QP4MyJLi7Z6u4/cP/14x7/OO0rOMfVv2egfCZw\n5sDDH2k/47cp4I3j65sX0X3bhjSrHXroof7xltSLox91tFOYJW0R/v+i2WZWJSPabIcLk8yrqvUz\nvK/zZqDb3YAvtlkVd9LNPtjU8VwNvHUGxrRFJHk48MG2nEaSJEmSpEnNqmQEQFWdNuwxbK6q+jHw\ntCkbzkLtWhVnD3sckiRJkqTRN2suYClJkiRJkuYGkxGSJA24+9q/kuYaz29JGh0mIyRJkiRJUq9M\nRkiSJEmSpF6ZjJAkSZIkSb0yGSFJkiRJknplMkKSJEmSJPVqm2EPQJIkaXMsOPr8YQ9hy1g6c89j\nx4Wz/zg9ZPtthz0ESdIMMBkhSZJmnVUnvmDYQ9gili1bxqJFi2ZwD3PjOEmS5h6XaUiSJEmSpF6Z\njJAkSZIkSb0yGSFJkiRJknplMkKSJEmSJPXKZIQkSZIkSeqVyQhJkiRJktQrkxGSJEmSJKlXJiMk\nSZIkSVKvTEZIkiRJkqRemYyQJEmSJEm9MhkhSZIkSZJ6ZTJCkiRJkiT1ymSEJEmSJEnqlckISZIk\nSZLUK5MRkiRJkiSpV+3JlPsAAB56SURBVCYjJEmSJElSr0xGSJIkSZKkXpmMkCRJkiRJvTIZIUmS\nJEmSemUyQpIkSZIk9cpkhCRJkiRJ6pXJCEmSJEmS1CuTEZIkSZIkqVcmIyRJkiRJUq9MRkiSJEmS\npF5tM+wBSJLUlz2Pu4Bb16wd9jD6t/T8YY/gHnZceDS3XXPisIcxOmYwPg/ZfltWvvuAGetfkqTN\nZTJCkrTVuHXNWlad+IJhD6NXy5YtY9GiRcMexj085TNHb3VxmMxMx2fB0aOViJIkaYzLNCRJkiRJ\nUq9MRkiSJEmSpF6ZjJAkSZIkSb0yGSFJkiRJknplMkKSJEmSJPXKZIQkjbgkwx6CJG0xvqZJksBk\nhCRJkiRJ6pnJCEmSJEmS1KspkxFJtk/yrSTztuSOk6zeAn28N8nzhjmGaezrsCQfbeWDkuw+8Njx\nSa5MckWSC5I8qtW/stVfleS7Sfa8D/t+1MD9T43tP8mqJLtsgT4/n+TxmzM+SdLcctPtN3HY0sO4\nec3Nwx6KJEkaUZsyM+Jw4KyqWr8ldpjOFpmRUVXHVtXXt0RfPTsI2H3g/geq6qlVtRdwHnBsq/8p\n8CdV9RTgeOATm7m/w4C7EgdV9dqq+uFm9jVhn8DHgb+9j31KkuaAU648hct+eRmnrDxl2EORJEkj\nalOSAq8EzgFIcnKSF7Xyl5Kc1sqHJzmhld+a5Or2c1SrW5DkR0k+C1wN/OFY50l2SXJRkhdMNoAk\n85IsaX1eleQtrX5JkoNbeVWS45Jc1to8qdU/PMnXkvygzQi4fqKZAEnenmRFm4lw3FQHpe3v/W1f\nlyR53MD+zmx9rUjy7HHb/THwIuADbSbEf6qq3w40eRBQAFX13aq6pdVfDDx6I+NZkOTqgftvS/Ke\ndnz2AT7X9rd9kmVJ9pmgj79qz+WKJP/Yjvu9jv1EfQLLgecl2WaqYydJmrtuuv0mzrnuHIri7OvO\ndnaEJEma0EbfOCbZDnhsVa1qVcuB/YFzgfnAI1v9/sDnk+wN/DXwTCDA95J8C7gFeDzwmqq6uPVN\nkl1bX39XVV/byFD2AuZX1R5t24dO0u7mqnp6kr8B3ga8Fng38M2qel+S5wNHTPA8D2jje0Yb97lJ\nnltV397Y8QFuraqnJHk18A/AC4EPAx+qqn9JshvwVWDh2AZV9d0k5wLnVdUZA2M4AXg1cCuweIJ9\nHQF8ZYrx3EtVnZHkTcDbqurStq97tUuyEDgEeHZVrU3yMbpE1A8Yd+yr6jfj+2yPXQfsCXx/XN+v\nB14PsOuuu7Js2bLpPo0ZtXr16pEbk+5mfDoLjj5/2EPYuKUjPr4BW9vvU9/n0Bd+9QXWrV8HwLr1\n63jXl9/FITsfcq92W1scJtNHfEbx9WO2xN+/QaPPGI024zPahh2fqT7F3gX4zcD95cBR7XoDPwR2\nSvJI4FnAkXRLOr5UVb8DSHIWdycvrh9LRDTbAt8A3lhV35piHD8BHpvkJOB84IJJ2p3Vbr8PvLSV\nnwO8BKCqlia5ZYLtDmg/l7f7O9AlJ6ZKRpw+cPuhVn4esPvAG/4HJ9lhin6oqmOAY5K8E3gTXRIF\ngCSL6ZIRz5mqn/vgT4G9gRVt7NsDNwL/zKYde1r7RzEuGVFVn6AtMdlnn31q0aJFW3rs98myZcsY\ntTHpbsans+rESSePDd1sitGCo8+fNWPdUvqMz02338SKs1awnm5l53rWs2LNCo5/5vHssv3ApMTP\nsNXFYTIzHp+l54/c60f+fvbEfza9vm2tjNFoMz6jbdjxmWqZxhrgAWN3quoG4KHA8+neqC8HXg6s\nrqrbpujrd+Pur6N703rgVINsSxX2BJYBbwA+NUnTO9rteqZOtAwK8L6q2qv9PK6qTt2E7WqC8v2A\n/Qb6ml9V07lQ5ueAl901sOSpdM/3xVX1q41st457xvMBkzWcRIDPDIz7iVX1nmkc+7F9rpnmfiVJ\nc8QpV57Chtpwj7oNtcFrR0iSpHvZaDKivRGdl2Twje3FwFHcnYx4W7ul3R6U5IFJHkQ3I2E5Eyu6\nmRRPSvKOscok145v2K7xcL+qOhP4O+Dpm/DcxnyHLmEythxjpwnafBU4fGwGQ5L5SR7Ryt9IMn+S\nvg8ZuL2olS8A3jww9r0m2O42YMeBNoPfQvFi4NpWvxvdbI9XVdW/buQ5AvwSeESSnZPcn27JyIT7\nm8Q3gIMHnvfDkvzRRo79RH0+ge6aIJKkrdDKG1eydsPae9St3bCWK268YkgjkiRJo2pTZg9cQLc8\nYOxbK5YDB1TVdUmuBx7W6qiqy5IsAS5pbT9VVZcnWTBRx1W1PsmhdNdouA34It0n9OPNBz6du7+F\n452bMO4xxwGnJ3kVXcLgF3RvpAfHcUG7ZsJFbYnCauCvktwMPA749SR975TkSroZGYe2uiOBk1v9\nNnRJmzeM2+7zwCeTHAkcDJyY5InABuD6gfbHAjsDH2vjWldV97rwZHsOa5O8l+7Y30BLaDRLgFOS\nrKFbUjPR9j9M8nfABe04rwXeSDfTYaJjP77PBwNrquoXE/UvSZr7znjRGVM3kiRJYtOSEScDb6El\nI9ryhVNbeS3dtz/cpao+CHxwXN0qYI9xdTu02ztoSzWSvLDtj3FtVzLBbIiqOmygvGCgfCmwqN29\nFTiwqtYleRawb9vnXWNo5Q/TXXzyLkn2AM6sqsmWHnygqt4xWFFVN3P3jInB+iV0b+Cpqu9wz6/2\nfNn49q3da+kuwrlJquojwEcmqD8TOHOgatHAYwsGyl8AvjBB1xMd+3v0meQNwD9u6lglSZIkSVuv\nKZMRbbbDhUnmVdX6mRxMVZ03A93uBnyxfbJ/J/C6aYznauCtMzCmueg3wP8a9iAkSZIkSaNvky7y\nWFWnzfRAZkpV/Rh42gz0u2BL97kpkuxMd32H8f50igtczqiq+vSw9i1JkiRJml2m840TGgEt4TDR\nRTElzVFVNXUjSZolfE2TJMHUX+0pSZIkSZK0RZmMkCRJkiRJvTIZIUmSJEmSemUyQpIkSZIk9cpk\nhCRJkiRJ6pXfpiFJ2qosOPr8YQ+hf0tH6znvuHArjcNkZjA+D9l+2xnrW5Kk+8JkhCRpq7HqxBcM\newi9W7ZsGYsWLRr2MMbZ+uIwmdGMjyRJM89lGpIkSZIkqVcmIyRJkiRJUq9MRkiSJEmSpF6ZjJAk\nSZIkSb0yGSFJkiRJknplMkKSJEmSJPXKZIQkSZIkSeqVyQhJkiRJktQrkxGSJEmSJKlXJiMkSZIk\nSVKvTEZIkiRJkqRemYyQJEmSJEm9MhkhSZIkSZJ6ZTJCkiRJkiT1ymSEJEmSJEnqlckISZIkSZLU\nK5MRkiRJkiSpVyYjJEmSJElSr0xGSJIkSZKkXpmMkCRJkiRJvTIZIUmSJEmSemUyQpIkSZIk9cpk\nhCRJkiRJ6pXJCEmSJEmS1CuTEZIkSZIkqVfbDHsAkjSb7XncBdy6Zu2whzF8S88f9ghmlR0XHs1t\n15zY3w6Nz2jbzPg8ZPttWfnuA7bwYCRJ6ofJCEm6D25ds5ZVJ75g2MMYqmXLlrFo0aJhD2NWecpn\nju7t98b4jLb7Ep8FR5tkkiTNXi7TkCRJkiRJvTIZIUmSJEmSemUyQpIkSZIk9cpkhCRJkiRJ6pXJ\nCEmSJEmS1CuTEdI4SYY9BEmSNAIWL1487CFI0pxlMkKSJEmSJPXKZIQkSZIkSerVrExGJNk+ybeS\nzNvC/a7eAn28N8nzhjmGaezrsCQfbeWDkuw+8NjxSa5MckWSC5I8qtW/stVfleS7SfZs9dsl+XaS\nbfoavyRJkiRpdpqVyQjgcOCsqlq/JTpLZ4sci6o6tqq+viX66tlBwO4D9z9QVU+tqr2A84BjW/1P\ngT+pqqcAxwOfAKiqO4FvAIf0N2RJmr1uuv0mDlt6GDevuXnYQ5EkSerdbE1GvBI4ByDJyUle1Mpf\nSnJaKx+e5IRWfmuSq9vPUa1uQZIfJfkscDXwh2OdJ9klyUVJXjDZAJLMS7Kk9XlVkre0+iVJDm7l\nVUmOS3JZa/OkVv/wJF9L8oMkn0pyfZJdJtjH25OsaDMRjpvqoLT9vb/t65IkjxvY35mtrxVJnj1u\nuz8GXgR8oM2E+E9V9duBJg8CCqCqvltVt7T6i4FHD7Q7my42kqQpnHLlKVz2y8s4ZeUpwx6KJElS\n72ZdMiLJdsBjq2pVq1oO7N/K87n70/39gW8n2Rv4a+CZwH7A65I8rbV5PPCxqnpyVV3f+t8VOB84\ntqrO38hQ9gLmV9UebZbApydpd3NVPR34OPC2Vvdu4JtV9WTgDGC3CZ7nAW18z2j72jvJczcynjG3\ntvF8FPiHVvdh4ENVtS/wMuBTgxtU1XeBc4G3V9VeVfVvbQwnJPkZXYLhWO7tCOArA/evBvbdhDFK\n0lbvnOvOoSjOvu5sZ0dIkqStzmxc378L8JuB+8uBo9r1Dn4I7JTkkcCzgCPplnR8qap+B5DkLLpE\nxbnA9VV18UBf29ItNXhjVX1rinH8BHhskpPokhcXTNLurHb7feClrfwc4CUAVbU0yS0TbHdA+7m8\n3d+BLjnx7SnGdfrA7Yda+XnA7gNfWfngJDtM0Q9VdQxwTJJ3Am+iS6IAkGQxXTLiOQPt1ye5M8mO\nVXXbQNvXA68H2HXXXVm2bNlUu+7V6tWr7zWmBUdvLA+l3i0d7XiM2u903yY6hzS1devX3XX7ri+/\ni0N2nplVbsZntN3X+Pj3auZ5/ow2X+NGm/EZbcOOz2xMRqwBHjB2p6puSPJQ4Pl0b9QfBrwcWF1V\ntw28AZ/I78bdX0eXNDgQ2GgyoqpuaRdvPBB4Q9vn4RM0vaPdrmd6xzvA+6rqH6exDbTlFOPK9wP2\nq6rf32MHGz82gz4HfJmWjEjyVLrZFX9eVb8a1/b+wD32U1WfoF1bYp999qlFixZt6n57sWzZMsaP\nadWJk67QUc8mis8oWXD0+SM9vj6MeoxGzU233wTXw3q6yx6tZz0r1qzg+Gcezy7b32vF3n1mfEbb\nfYrP0vP9ezXD8vd4/ow4X+NGm/EZbcOOz6xbptGuVzAvyQMGqi8GjqJLRiynWw6xvD22HDgoyQOT\nPIhuRsJyJlZ0CYUnJXnHWGWSa8c3bNd4uF9VnQn8HfD0aTyN79AlL8aWY+w0QZuvAoePzWBIMj/J\nI1r5G0nmT9L3IQO3F7XyBcCbB8a+1wTb3QbsONDm8QOPvRi4ttXvRjfb41VV9a+DHSTZmW5ZytpJ\nxiZJW71Trrz3NSI21AavHSFJkrYqs3FmBHRvrp8DjH1rxXLggKq6Lsn1dLMjlgNU1WVJlgCXtLaf\nqqrLkyyYqOO21OBQ4NwktwFfpJulMN584NMD38LxzmmM/zjg9CSvoksY/IIuGTA4jguSLAQuajMY\nVgN/leRm4HHAryfpe6ckV9LNyDi01R0JnNzqt6FL2rxh3HafBz6Z5EjgYODEJE8ENgDXD7Q/FtgZ\n+Fgb17qq2qc9tphuyYokaRIrb1x5r7q1G9ZyxY1XDGE0kiRJwzFbkxEnA2+hJSOq6lTg1FZeS/ft\nD3epqg8CHxxXtwrYY1zdDu32DrrlFyR5Ydsf49quZILZEFV12EB5wUD5UmBRu3srcGBVrUvyLGDf\nts+7xtDKH6a7+ORdkuwBnFlVa8bvu/lAVb1jsKKqbmaCr9ysqiXAklb+Dvf8as+XTdR5Vb0WeO0k\n+/5L4OhJHpMkAWe86Aye8pmncNVrrhr2UCRJkoZmViYj2myHC5PMq6r1M7yv82ag292AL7ZZFXcC\nr5vGeK4G3joDY7pP2recnD1+6YYkSZIkSePNymQEQFWdNuwxbK6q+jHwtCkbTr/fBVu6z2ns+07g\ns8PavyRJkiRp9ph1F7CUJEmSJEmzm8kIaZyqmrqRJEma8y688MJhD0GS5iyTEZIkSZIkqVcmIyRJ\nkiRJUq9MRkiSJEmSpF6ZjJAkSZIkSb2atV/tKUmjYsHR5w97CMO31GMwHTsu7Pn3xviMts2Mz0O2\n33YLD0SSpP6YjJCk+2DViS8Y9hCGbtmyZSxatGjYw5hl+vu9MT6jzfhIkrZWLtOQJEmSJEm9Mhkh\nSZIkSZJ6ZTJCkiRJkiT1ymSEJEmSJEnqlckISZIkSZLUK5MRkiRJkiSpVyYjJEmSJElSr0xGSJIk\nSZKkXpmMkCRJkiRJvTIZIUmSJEmSemUyQpIkSZIk9cpkhCRJkiRJ6lWqathj0FYkyU3A9cMexzi7\nADcPexCalPEZfcZotBmf0WZ8RpvxGX3GaLQZn9E2U/H5o6p6+FSNTEZoq5fk0qraZ9jj0MSMz+gz\nRqPN+Iw24zPajM/oM0ajzfiMtmHHx2UakiRJkiSpVyYjJEmSJElSr0xGSPCJYQ9AG2V8Rp8xGm3G\nZ7QZn9FmfEafMRptxme0DTU+XjNCkiRJkiT1ypkRkiRJkiSpVyYjNCclWZXkqiRXJLl03GP/T5JK\nsku7nyQfSXJdkiuTPH2g7WuS/Lj9vKbv5zFXTTM+i5Lc2tpekeTYgbbPT/KjFruj+34ec9lEMUry\nniQ3DMTiLwbav7PF4UdJDhyoN0YzYDrxSbIgyZqB+lMG+tm79XNdex3MsJ7TXDLZa1ySNye5NskP\nkrx/oN7zp2fTiZHnUP8meY37wkAMViW5YqC951CPphMfz5/hmCRGeyW5eKwuyTNafTKs90JV5Y8/\nc+4HWAXsMkH9HwJfBa4fexz4C+ArQID9gO+1+ocBP2m3O7XyTsN+bnPhZ5rxWQScN0HbecC/AY8F\ntgNWArsP+7nNlZ+JYgS8B3jbBG13b8f//sBjWlzmGaORic8C4OpJ+rmkve6lvQ7++bCf21z4mSQ+\ni4GvA/dv9x/Rbj1/Rj9GnkMjEJ9xj/9P4NhW9hwa7fh4/oxIjIALxo4x3fufZQPlobwXcmaEtjYf\nAv4WGLxYyouBz1bnYuChSR4JHAh8rap+XVW3AF8Dnt/7iLcuE8VnMs8Arquqn1TVncDn6WKp/r0Y\n+HxV3VFVPwWuo4uPMRph7XXuwVV1cXX/dXwWOGjIw5rL/gtwYlXdAVBVN7Z6z5/RMVmMJuQ5NBzt\n0/OXA6e3Ks+hETJBfCZr5/nTvwIe3MoPAf6jlYf2XshkhOaqAi5I8v0krwdI8mLghqpaOa7tfOBn\nA/f/vdVNVq/7bjrxAXhWkpVJvpLkya3O+Myse8WoeVObwndakp1anedQ/6YTH4DHJLk8ybeS7N/q\n5tPFZIzx2XImis8TgP2TfK/FYd9W7/kzHNOJEXgO9W2y1ziA/YFfVtWP233Pof5NJz7g+TMME8Xo\nKOADSX4G/A/gna1+aOfQNluyM2mEPKeqbkjyCOBrSa4F/htwwJDHpc504nMZ8EdVtTrdGvizgcf3\nONat1UQx+jhwPN0fuOPppmEePsQxbs2mE5+fA7tV1a+S7A2cPZDU08yYKD7b0E113Q/YF/hikscO\nc5BbuenEyHOof/eKT1V9uz12KFN86q4ZN534eP4Mx0SvcQcDb6mqM5O8HDgVeN4wB+nMCM1JVXVD\nu70R+BLwJ3TrCFcmWQU8GrgsyR8AN9Bdq2DMo1vdZPW6j6YTn6r6bVWtbu2/DGyb7uKWxmcGTRCj\nZ1TVL6tqfVVtAD5JNwUWPId6N534tKnLv2rl79OtoX4CXSwePdCt8dlCJooP3SdKZ7VpsJcAG4CN\nvZZ5/syg6cTIc6h/k8SHJNsALwW+MNDcc6hn04mP589wTBKj1wBntSb/xAj8H2cyQnNOkgcl2XGs\nTPdp+4qqekRVLaiqBXT/cDy9qn4BnAu8ul1Jdj/g1qr6Od2FFA9IslOb7nxAq9N9MN34JPmDtv6Q\ndFf9vR/wK2AF8Pgkj0myHfAKuljqPpokRle39YNjXgJc3crnAq9Icv8kj6GbuXIJxmhGTDc+SR6e\nZF4rP5YuPj9pr3O/TbJfO8deDZzT41OZkyaLD92srsWt/gl0F9S7Gc+f3k03Rp5D/dpIfKD7FPfa\nqhqc3u851KPpxsfzp38bidF/0H0ACPB/AWNLaYb2XshlGpqLdgW+1N6/bgP876paupH2X6a7iux1\nwO3AXwNU1a+THE/3xwzgvVX16xkb9dZjuvE5GPgvSdYBa4BXtAsdrUvyJroXxXnAaVX1g5kd+lZj\nwhgl+V9J9qJbBrAK+M8AVfWDJF8EfgisA95YVesBjNGMmFZ8gOcC702ylu6T3jcMvJb9DbAE2J7u\nStpf6etJzGGTxWc74LQkVwN3Aq9pr2WeP/2bVoySeA71a2P/J7yCcUs0/BvUu2nFB/8GDcNkr3Gr\ngQ+3GSy/B8auJTG090Lp/g5KkiRJkiT1w2UakiRJkiSpVyYjJEmSJElSr0xGSJIkSZKkXpmMkCRJ\nkiRJvTIZIUmSJEmSemUyQpIkSZIk9cpkhCRJGllJ3pPkbZvYdkmSnyZZmeRfk3w2yaM3Ybujkjxw\nE9otS/L/p315e6s7u313+2ZJ8t4kz9vMbRckuXoT2vzlwP19knxkc/Y3Qd/rk1yR5FFbor+Bfrdv\n/d6ZZJct2bckaXSYjJAkSSMpyTabsdnbq2pP4InA5cA3k2w3xTZHAVMmI5rfAM9u43so8MjNGONd\nqurYqvr6feljCguAu5IRVXVpVR25hfpeU1V7VdV/bKH+AKiqNVW1F7BF+5UkjRaTEZIkaVLtk/Vr\nk3wuyTVJzhibRZBk3yTfbTMRLkmyY5LD2myBryVZleRNSd6a5PIkFyd5WNv2dUlWtG3PHOhzSZJT\nknwPeP+4sbwuyVeSbD/VuKvzIeAXwJ+37T+e5NIkP0hyXKs7EngUcGGSCydrN+DzwCta+aXAWQPj\n2yHJN5JcluSqJC8eOIbXJPlk6/OCsefQnu/Brbwqyfvbtpckedz4Nu3+vWZitH0sb/u+LMkft4dO\nBPZvMw3ekmRRkvPaNg9rsbqyxeaprf49SU5rM0F+0o7RlJKsTnJCi+nFSXZt9f93ku+134GvD9Rv\n1n4kSXODyQhJkjSVJwIfq6qFwG+Bv2mzDb4A/Nc2E+F5wJrWfg+6N+r7AicAt1fV04CLgFe3NmdV\n1b5t22uAIwb292jgj6vqrWMVSd4EvBA4qKrWsOkuA57UysdU1T7AU4E/SfLUqvoI3Sfwi6tq8WTt\nBvr7BvDcJPPokhJfGHjs98BLqurpwGLgfw4s6Xg8cHJVPZludsXLJhnvrVX1FOCjwD9M43neCPxZ\n2/chwNhSjKOB5W0Gw4fGbXMccHlVPRX4b8BnBx57EnAg8Azg3Um23YQxPAi4uMX028DrWv2/APu1\n34HPA397H/cjSZoDNmf6oyRJ2rr8rKq+08r/H3Ak8FXg51W1AqCqfgvQ3ntfWFW3AbcluRX457bt\nVXRv8AH2SPLfgYcCO7T+xvxTVa0fuP9q4Gd0iYi10xx7BsovT/J6uv9/HgnsDlw5wTYba7ee7s31\nK4Dtq2pVBi4hAfy/SZ4LbADmA7u2x35aVVe08vfplk9M5PSB2/HJg43ZFvhokr3aGJ+wCds8h5YU\nqapvJtk5yYPbY+dX1R3AHUlubM/j36fo707gvFb+PvBnrfxo4AtJHglsB/x0YJvN2Y8kaQ5wZoQk\nSZpKTXF/vDsGyhsG7m/g7g9ClgBvarMAjgMeMLDN78b1dxXdm/cpL0Y5gacB1yR5DPA24E/bTIDz\nx+0TgE1s93m6mQdfHFf/SuDhwN7tmge/HNh28JisZ/IPhGqC8jra/2xJ7kf3hn68t7T97QnsM0mb\n6djU8Q5aW1VjYx7c5iTgoy3W/5l7Hs/N2Y8kaQ4wGSFJkqayW5JntfJf0s0M+BHwyCT7ArTrRUzn\njeSOwM/btPxXTtH2cro3sedmE7+5IZ0j6WY2LAUeTJfkuLVds+DPB5rf1sbDFO3GLAfex92zGMY8\nBLixqtYmWQz80aaMdZxDBm4vauVVwN6t/CK6WRDjPYRupsoG4FXAvFY/+NzGW0479kkWATePzXDZ\nwh4C3NDKr5mB/iVJs5DZZ0mSNJUfAW9MchrwQ+DjVXVnkkOAk9rFGNfQXTdiU70L+B5wU7ud7A0z\nAFX1L+m+4vP8JH9WVTdP0vQDSd5F9+0YF9NdC+JOYGWSy4Fr6ZZ8fGdgm08AS5P8R1Ut3ki7sbEU\n8D8m2PfngH9OchVwaetjunZKciXdjIFDW90ngXOSrKRLrIyfOQLwMeDMJK8e1+ZKYH3bdgldYmfM\ne4DT2v5uZ+YSBe8B/inJLcA3gcfM0H4kSbNI7p5NJ0mSdE9JFgDnVdUeQx7KnJdkFbDPRhItIyXJ\n6qraYQb7X8UsOh6SpOlxmYYkSZI2x2/bV4Zu0tKZTZVk+yRX0C1H2bAl+5YkjQ5nRkiSpFklycnA\ns8dVf7iqPj2M8UiSpOkzGSFJkiRJknrlMg1JkiRJktQrkxGSJEmSJKlXJiMkSZIkSVKvTEZIkiRJ\nkqRemYyQJEmSJEm9+j+7rFpHLcNNVAAAAABJRU5ErkJggg==\n",
            "text/plain": "<matplotlib.figure.Figure at 0x7fc3782f4290>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "                           pcmark_DataManipulation                             \\\n                                             count    mean        std     min   \ntest tag    kernel                                                              \nwork single pelt16_utilest                    10.0  5700.8  60.219598  5596.0   \n            pelt8                             10.0  5680.5  65.187337  5570.0   \n            pelt16                            10.0  5678.3  62.460743  5561.0   \n            pelt8_utilest                     10.0  5677.7  62.746492  5534.0   \n            walt20                            10.0  5628.6  57.015008  5528.0   \n            walt10                            10.0  5601.3  72.245031  5465.0   \n            pelt32_utilest                    10.0  5564.3  55.679739  5481.0   \n            pelt32                            10.0  5538.3  84.616849  5402.0   \n\n                                                                       \n                               50%      75%      95%      99%     max  \ntest tag    kernel                                                     \nwork single pelt16_utilest  5697.0  5735.00  5783.80  5789.56  5791.0  \n            pelt8           5704.0  5724.75  5749.15  5761.03  5764.0  \n            pelt16          5696.0  5726.75  5744.55  5752.11  5754.0  \n            pelt8_utilest   5693.0  5723.75  5728.75  5730.55  5731.0  \n            walt20          5645.5  5669.75  5694.20  5695.64  5696.0  \n            walt10          5611.5  5634.75  5692.95  5724.99  5733.0  \n            pelt32_utilest  5568.0  5611.25  5627.20  5628.64  5629.0  \n            pelt32          5537.0  5607.00  5641.00  5648.20  5650.0  ",
            "text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th colspan=\"9\" halign=\"left\">pcmark_DataManipulation</th>\n    </tr>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th>count</th>\n      <th>mean</th>\n      <th>std</th>\n      <th>min</th>\n      <th>50%</th>\n      <th>75%</th>\n      <th>95%</th>\n      <th>99%</th>\n      <th>max</th>\n    </tr>\n    <tr>\n      <th>test</th>\n      <th>tag</th>\n      <th>kernel</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th rowspan=\"8\" valign=\"top\">work</th>\n      <th rowspan=\"8\" valign=\"top\">single</th>\n      <th>pelt16_utilest</th>\n      <td>10.0</td>\n      <td>5700.8</td>\n      <td>60.219598</td>\n      <td>5596.0</td>\n      <td>5697.0</td>\n      <td>5735.00</td>\n      <td>5783.80</td>\n      <td>5789.56</td>\n      <td>5791.0</td>\n    </tr>\n    <tr>\n      <th>pelt8</th>\n      <td>10.0</td>\n      <td>5680.5</td>\n      <td>65.187337</td>\n      <td>5570.0</td>\n      <td>5704.0</td>\n      <td>5724.75</td>\n      <td>5749.15</td>\n      <td>5761.03</td>\n      <td>5764.0</td>\n    </tr>\n    <tr>\n      <th>pelt16</th>\n      <td>10.0</td>\n      <td>5678.3</td>\n      <td>62.460743</td>\n      <td>5561.0</td>\n      <td>5696.0</td>\n      <td>5726.75</td>\n      <td>5744.55</td>\n      <td>5752.11</td>\n      <td>5754.0</td>\n    </tr>\n    <tr>\n      <th>pelt8_utilest</th>\n      <td>10.0</td>\n      <td>5677.7</td>\n      <td>62.746492</td>\n      <td>5534.0</td>\n      <td>5693.0</td>\n      <td>5723.75</td>\n      <td>5728.75</td>\n      <td>5730.55</td>\n      <td>5731.0</td>\n    </tr>\n    <tr>\n      <th>walt20</th>\n      <td>10.0</td>\n      <td>5628.6</td>\n      <td>57.015008</td>\n      <td>5528.0</td>\n      <td>5645.5</td>\n      <td>5669.75</td>\n      <td>5694.20</td>\n      <td>5695.64</td>\n      <td>5696.0</td>\n    </tr>\n    <tr>\n      <th>walt10</th>\n      <td>10.0</td>\n      <td>5601.3</td>\n      <td>72.245031</td>\n      <td>5465.0</td>\n      <td>5611.5</td>\n      <td>5634.75</td>\n      <td>5692.95</td>\n      <td>5724.99</td>\n      <td>5733.0</td>\n    </tr>\n    <tr>\n      <th>pelt32_utilest</th>\n      <td>10.0</td>\n      <td>5564.3</td>\n      <td>55.679739</td>\n      <td>5481.0</td>\n      <td>5568.0</td>\n      <td>5611.25</td>\n      <td>5627.20</td>\n      <td>5628.64</td>\n      <td>5629.0</td>\n    </tr>\n    <tr>\n      <th>pelt32</th>\n      <td>10.0</td>\n      <td>5538.3</td>\n      <td>84.616849</td>\n      <td>5402.0</td>\n      <td>5537.0</td>\n      <td>5607.00</td>\n      <td>5641.00</td>\n      <td>5648.20</td>\n      <td>5650.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABCMAAAHxCAYAAABXgXZLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngg==\n",
            "text/plain": "<matplotlib.figure.Figure at 0x7fc38b40ee50>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "                           pcmark_WritingV2                              \\\n                                      count    mean         std     min   \ntest tag    kernel                                                        \nwork single pelt8_utilest              10.0  8439.6  107.504212  8316.0   \n            pelt8                      10.0  8425.6   42.771226  8352.0   \n            pelt16_utilest             10.0  8416.7  203.181391  7861.0   \n            pelt16                     10.0  8360.7   71.814653  8249.0   \n            walt10                     10.0  7112.2   31.460028  7065.0   \n            pelt32_utilest             10.0  6592.4   60.330939  6467.0   \n            walt20                     10.0  6540.9   68.100334  6458.0   \n            pelt32                     10.0  5826.5   65.306542  5751.0   \n\n                                                                       \n                               50%      75%      95%      99%     max  \ntest tag    kernel                                                     \nwork single pelt8_utilest   8431.5  8510.00  8595.45  8602.29  8604.0  \n            pelt8           8429.5  8463.75  8471.85  8474.37  8475.0  \n            pelt16_utilest  8467.0  8510.75  8555.55  8577.51  8583.0  \n            pelt16          8347.5  8396.00  8469.85  8472.37  8473.0  \n            walt10          7109.5  7140.25  7151.25  7156.65  7158.0  \n            pelt32_utilest  6603.5  6626.00  6661.05  6672.21  6675.0  \n            walt20          6526.0  6565.00  6654.40  6664.48  6667.0  \n            pelt32          5822.5  5837.00  5929.75  5974.75  5986.0  ",
            "text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th colspan=\"9\" halign=\"left\">pcmark_WritingV2</th>\n    </tr>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th>count</th>\n      <th>mean</th>\n      <th>std</th>\n      <th>min</th>\n      <th>50%</th>\n      <th>75%</th>\n      <th>95%</th>\n      <th>99%</th>\n      <th>max</th>\n    </tr>\n    <tr>\n      <th>test</th>\n      <th>tag</th>\n      <th>kernel</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th rowspan=\"8\" valign=\"top\">work</th>\n      <th rowspan=\"8\" valign=\"top\">single</th>\n      <th>pelt8_utilest</th>\n      <td>10.0</td>\n      <td>8439.6</td>\n      <td>107.504212</td>\n      <td>8316.0</td>\n      <td>8431.5</td>\n      <td>8510.00</td>\n      <td>8595.45</td>\n      <td>8602.29</td>\n      <td>8604.0</td>\n    </tr>\n    <tr>\n      <th>pelt8</th>\n      <td>10.0</td>\n      <td>8425.6</td>\n      <td>42.771226</td>\n      <td>8352.0</td>\n      <td>8429.5</td>\n      <td>8463.75</td>\n      <td>8471.85</td>\n      <td>8474.37</td>\n      <td>8475.0</td>\n    </tr>\n    <tr>\n      <th>pelt16_utilest</th>\n      <td>10.0</td>\n      <td>8416.7</td>\n      <td>203.181391</td>\n      <td>7861.0</td>\n      <td>8467.0</td>\n      <td>8510.75</td>\n      <td>8555.55</td>\n      <td>8577.51</td>\n      <td>8583.0</td>\n    </tr>\n    <tr>\n      <th>pelt16</th>\n      <td>10.0</td>\n      <td>8360.7</td>\n      <td>71.814653</td>\n      <td>8249.0</td>\n      <td>8347.5</td>\n      <td>8396.00</td>\n      <td>8469.85</td>\n      <td>8472.37</td>\n      <td>8473.0</td>\n    </tr>\n    <tr>\n      <th>walt10</th>\n      <td>10.0</td>\n      <td>7112.2</td>\n      <td>31.460028</td>\n      <td>7065.0</td>\n      <td>7109.5</td>\n      <td>7140.25</td>\n      <td>7151.25</td>\n      <td>7156.65</td>\n      <td>7158.0</td>\n    </tr>\n    <tr>\n      <th>pelt32_utilest</th>\n      <td>10.0</td>\n      <td>6592.4</td>\n      <td>60.330939</td>\n      <td>6467.0</td>\n      <td>6603.5</td>\n      <td>6626.00</td>\n      <td>6661.05</td>\n      <td>6672.21</td>\n      <td>6675.0</td>\n    </tr>\n    <tr>\n      <th>walt20</th>\n      <td>10.0</td>\n      <td>6540.9</td>\n      <td>68.100334</td>\n      <td>6458.0</td>\n      <td>6526.0</td>\n      <td>6565.00</td>\n      <td>6654.40</td>\n      <td>6664.48</td>\n      <td>6667.0</td>\n    </tr>\n    <tr>\n      <th>pelt32</th>\n      <td>10.0</td>\n      <td>5826.5</td>\n      <td>65.306542</td>\n      <td>5751.0</td>\n      <td>5822.5</td>\n      <td>5837.00</td>\n      <td>5929.75</td>\n      <td>5974.75</td>\n      <td>5986.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABCcAAAHxCAYAAABeatYxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
            "text/plain": "<matplotlib.figure.Figure at 0x7fc4667c0c90>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "                           pcmark_PhotoEditingV2                       \\\n                                           count     mean         std   \ntest tag    kernel                                                      \nwork single pelt16_utilest                  10.0  18865.4  368.020289   \n            pelt8_utilest                   10.0  18829.3  459.767828   \n            pelt8                           10.0  18072.4  403.217118   \n            pelt16                          10.0  17862.3  344.195697   \n            pelt32_utilest                  10.0  15921.1  339.123855   \n            walt10                          10.0  14108.2  180.532422   \n            walt20                          10.0  13350.8  180.038144   \n            pelt32                          10.0  12568.6  508.571245   \n\n                                                                            \\\n                                min      50%       75%       95%       99%   \ntest tag    kernel                                                           \nwork single pelt16_utilest  18180.0  18943.0  19110.75  19293.75  19396.35   \n            pelt8_utilest   18266.0  18781.0  19020.00  19576.10  19670.42   \n            pelt8           17071.0  18149.0  18294.25  18460.30  18491.26   \n            pelt16          17444.0  17778.0  18075.25  18383.85  18523.17   \n            pelt32_utilest  15270.0  16023.5  16199.50  16267.85  16270.37   \n            walt10          13771.0  14122.0  14209.75  14338.30  14369.26   \n            walt20          13135.0  13320.5  13513.00  13579.80  13585.56   \n            pelt32          11970.0  12458.0  12739.00  13427.45  13441.49   \n\n                                     \n                                max  \ntest tag    kernel                   \nwork single pelt16_utilest  19422.0  \n            pelt8_utilest   19694.0  \n            pelt8           18499.0  \n            pelt16          18558.0  \n            pelt32_utilest  16271.0  \n            walt10          14377.0  \n            walt20          13587.0  \n            pelt32          13445.0  ",
            "text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th colspan=\"9\" halign=\"left\">pcmark_PhotoEditingV2</th>\n    </tr>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th>count</th>\n      <th>mean</th>\n      <th>std</th>\n      <th>min</th>\n      <th>50%</th>\n      <th>75%</th>\n      <th>95%</th>\n      <th>99%</th>\n      <th>max</th>\n    </tr>\n    <tr>\n      <th>test</th>\n      <th>tag</th>\n      <th>kernel</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th rowspan=\"8\" valign=\"top\">work</th>\n      <th rowspan=\"8\" valign=\"top\">single</th>\n      <th>pelt16_utilest</th>\n      <td>10.0</td>\n      <td>18865.4</td>\n      <td>368.020289</td>\n      <td>18180.0</td>\n      <td>18943.0</td>\n      <td>19110.75</td>\n      <td>19293.75</td>\n      <td>19396.35</td>\n      <td>19422.0</td>\n    </tr>\n    <tr>\n      <th>pelt8_utilest</th>\n      <td>10.0</td>\n      <td>18829.3</td>\n      <td>459.767828</td>\n      <td>18266.0</td>\n      <td>18781.0</td>\n      <td>19020.00</td>\n      <td>19576.10</td>\n      <td>19670.42</td>\n      <td>19694.0</td>\n    </tr>\n    <tr>\n      <th>pelt8</th>\n      <td>10.0</td>\n      <td>18072.4</td>\n      <td>403.217118</td>\n      <td>17071.0</td>\n      <td>18149.0</td>\n      <td>18294.25</td>\n      <td>18460.30</td>\n      <td>18491.26</td>\n      <td>18499.0</td>\n    </tr>\n    <tr>\n      <th>pelt16</th>\n      <td>10.0</td>\n      <td>17862.3</td>\n      <td>344.195697</td>\n      <td>17444.0</td>\n      <td>17778.0</td>\n      <td>18075.25</td>\n      <td>18383.85</td>\n      <td>18523.17</td>\n      <td>18558.0</td>\n    </tr>\n    <tr>\n      <th>pelt32_utilest</th>\n      <td>10.0</td>\n      <td>15921.1</td>\n      <td>339.123855</td>\n      <td>15270.0</td>\n      <td>16023.5</td>\n      <td>16199.50</td>\n      <td>16267.85</td>\n      <td>16270.37</td>\n      <td>16271.0</td>\n    </tr>\n    <tr>\n      <th>walt10</th>\n      <td>10.0</td>\n      <td>14108.2</td>\n      <td>180.532422</td>\n      <td>13771.0</td>\n      <td>14122.0</td>\n      <td>14209.75</td>\n      <td>14338.30</td>\n      <td>14369.26</td>\n      <td>14377.0</td>\n    </tr>\n    <tr>\n      <th>walt20</th>\n      <td>10.0</td>\n      <td>13350.8</td>\n      <td>180.038144</td>\n      <td>13135.0</td>\n      <td>13320.5</td>\n      <td>13513.00</td>\n      <td>13579.80</td>\n      <td>13585.56</td>\n      <td>13587.0</td>\n    </tr>\n    <tr>\n      <th>pelt32</th>\n      <td>10.0</td>\n      <td>12568.6</td>\n      <td>508.571245</td>\n      <td>11970.0</td>\n      <td>12458.0</td>\n      <td>12739.00</td>\n      <td>13427.45</td>\n      <td>13441.49</td>\n      <td>13445.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABCMAAAHxCAYAAABXgXZLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nBv8AAAAASUVORK5CYII=\n",
            "text/plain": "<matplotlib.figure.Figure at 0x7fc3c19fee50>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "                           pcmark_WebV2                                      \\\n                                  count    mean         std     min     50%   \ntest tag    kernel                                                            \nwork single pelt16                 10.0  8450.8   87.916374  8337.0  8442.5   \n            pelt16_utilest         10.0  8400.2   89.832931  8296.0  8380.0   \n            pelt8                  10.0  8360.5   97.538881  8217.0  8389.0   \n            pelt8_utilest          10.0  8337.5   87.031603  8175.0  8345.5   \n            walt10                 10.0  7157.5   83.486859  7084.0  7134.5   \n            walt20                 10.0  6563.6   72.819716  6461.0  6562.0   \n            pelt32                 10.0  6268.6  149.609269  6020.0  6251.5   \n            pelt32_utilest         10.0  6240.2   79.042605  6109.0  6251.0   \n\n                                                               \n                                75%      95%      99%     max  \ntest tag    kernel                                             \nwork single pelt16          8500.50  8580.35  8593.67  8597.0  \n            pelt16_utilest  8441.00  8536.80  8585.76  8598.0  \n            pelt8           8402.00  8479.55  8515.91  8525.0  \n            pelt8_utilest   8385.50  8452.35  8472.87  8478.0  \n            walt10          7169.25  7303.65  7340.73  7350.0  \n            walt20          6597.25  6670.90  6677.38  6679.0  \n            pelt32          6349.00  6483.55  6512.71  6520.0  \n            pelt32_utilest  6312.50  6326.10  6326.82  6327.0  ",
            "text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th colspan=\"9\" halign=\"left\">pcmark_WebV2</th>\n    </tr>\n    <tr>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th>count</th>\n      <th>mean</th>\n      <th>std</th>\n      <th>min</th>\n      <th>50%</th>\n      <th>75%</th>\n      <th>95%</th>\n      <th>99%</th>\n      <th>max</th>\n    </tr>\n    <tr>\n      <th>test</th>\n      <th>tag</th>\n      <th>kernel</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th rowspan=\"8\" valign=\"top\">work</th>\n      <th rowspan=\"8\" valign=\"top\">single</th>\n      <th>pelt16</th>\n      <td>10.0</td>\n      <td>8450.8</td>\n      <td>87.916374</td>\n      <td>8337.0</td>\n      <td>8442.5</td>\n      <td>8500.50</td>\n      <td>8580.35</td>\n      <td>8593.67</td>\n      <td>8597.0</td>\n    </tr>\n    <tr>\n      <th>pelt16_utilest</th>\n      <td>10.0</td>\n      <td>8400.2</td>\n      <td>89.832931</td>\n      <td>8296.0</td>\n      <td>8380.0</td>\n      <td>8441.00</td>\n      <td>8536.80</td>\n      <td>8585.76</td>\n      <td>8598.0</td>\n    </tr>\n    <tr>\n      <th>pelt8</th>\n      <td>10.0</td>\n      <td>8360.5</td>\n      <td>97.538881</td>\n      <td>8217.0</td>\n      <td>8389.0</td>\n      <td>8402.00</td>\n      <td>8479.55</td>\n      <td>8515.91</td>\n      <td>8525.0</td>\n    </tr>\n    <tr>\n      <th>pelt8_utilest</th>\n      <td>10.0</td>\n      <td>8337.5</td>\n      <td>87.031603</td>\n      <td>8175.0</td>\n      <td>8345.5</td>\n      <td>8385.50</td>\n      <td>8452.35</td>\n      <td>8472.87</td>\n      <td>8478.0</td>\n    </tr>\n    <tr>\n      <th>walt10</th>\n      <td>10.0</td>\n      <td>7157.5</td>\n      <td>83.486859</td>\n      <td>7084.0</td>\n      <td>7134.5</td>\n      <td>7169.25</td>\n      <td>7303.65</td>\n      <td>7340.73</td>\n      <td>7350.0</td>\n    </tr>\n    <tr>\n      <th>walt20</th>\n      <td>10.0</td>\n      <td>6563.6</td>\n      <td>72.819716</td>\n      <td>6461.0</td>\n      <td>6562.0</td>\n      <td>6597.25</td>\n      <td>6670.90</td>\n      <td>6677.38</td>\n      <td>6679.0</td>\n    </tr>\n    <tr>\n      <th>pelt32</th>\n      <td>10.0</td>\n      <td>6268.6</td>\n      <td>149.609269</td>\n      <td>6020.0</td>\n      <td>6251.5</td>\n      <td>6349.00</td>\n      <td>6483.55</td>\n      <td>6512.71</td>\n      <td>6520.0</td>\n    </tr>\n    <tr>\n      <th>pelt32_utilest</th>\n      <td>10.0</td>\n      <td>6240.2</td>\n      <td>79.042605</td>\n      <td>6109.0</td>\n      <td>6251.0</td>\n      <td>6312.50</td>\n      <td>6326.10</td>\n      <td>6326.82</td>\n      <td>6327.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Detailed Scores"
    },
    {
      "metadata": {
        "collapsed": true,
        "trusted": true
      },
      "cell_type": "code",
      "source": "# Get Geekbench scores\ndf = collector.results_df\npm_scores_db = df[df.workload == 'pcmark']\n\n# Group scores\ngrouped_df = pm_scores_db.groupby(['test', 'tag', 'kernel', 'metric'])\n\n# Get stats for grouped scores\nstats_df = pd.DataFrame(grouped_df.describe(percentiles=[.95, .99]))\nstats_df = stats_df.reset_index().rename(columns={'level_4': 'stats'})",
      "execution_count": 19,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "pm_score_df = stats_df[stats_df.metric.str.match('pcmark_.*')][['metric', 'kernel', 'stats', 'value']]\npm_score_df['metric'] = pm_score_df.metric.apply(lambda s : s.replace('pcmark_', ''))\npm_score_df = pm_score_df.set_index(['metric', 'kernel', 'stats']).unstack()\nlogging.info(\"Detailed scores:\")\npm_score_df",
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": "2018-01-26 10:54:35,792 INFO    : root         : Detailed scores:\n"
        },
        {
          "execution_count": 20,
          "output_type": "execute_result",
          "data": {
            "text/plain": "                                   value                                     \\\nstats                                50%       95%       99% count      max   \nmetric           kernel                                                       \nDataManipulation pelt16           5696.0   5744.55   5752.11  10.0   5754.0   \n                 pelt16_utilest   5697.0   5783.80   5789.56  10.0   5791.0   \n                 pelt32           5537.0   5641.00   5648.20  10.0   5650.0   \n                 pelt32_utilest   5568.0   5627.20   5628.64  10.0   5629.0   \n                 pelt8            5704.0   5749.15   5761.03  10.0   5764.0   \n                 pelt8_utilest    5693.0   5728.75   5730.55  10.0   5731.0   \n                 walt10           5611.5   5692.95   5724.99  10.0   5733.0   \n                 walt20           5645.5   5694.20   5695.64  10.0   5696.0   \nPhotoEditingV2   pelt16          17778.0  18383.85  18523.17  10.0  18558.0   \n                 pelt16_utilest  18943.0  19293.75  19396.35  10.0  19422.0   \n                 pelt32          12458.0  13427.45  13441.49  10.0  13445.0   \n                 pelt32_utilest  16023.5  16267.85  16270.37  10.0  16271.0   \n                 pelt8           18149.0  18460.30  18491.26  10.0  18499.0   \n                 pelt8_utilest   18781.0  19576.10  19670.42  10.0  19694.0   \n                 walt10          14122.0  14338.30  14369.26  10.0  14377.0   \n                 walt20          13320.5  13579.80  13585.56  10.0  13587.0   \nVideoEditing     pelt16           6290.5   6311.40   6314.28  10.0   6315.0   \n                 pelt16_utilest   6306.5   6320.05   6324.01  10.0   6325.0   \n                 pelt32           6131.0   6140.20   6141.64  10.0   6142.0   \n                 pelt32_utilest   6174.0   6215.10   6215.82  10.0   6216.0   \n                 pelt8            6283.5   6309.35   6315.47  10.0   6317.0   \n                 pelt8_utilest    6327.0   6340.65   6341.73  10.0   6342.0   \n                 walt10           6051.5   6069.20   6070.64  10.0   6071.0   \n                 walt20           6087.5   6094.20   6095.64  10.0   6096.0   \nWebV2            pelt16           8442.5   8580.35   8593.67  10.0   8597.0   \n                 pelt16_utilest   8380.0   8536.80   8585.76  10.0   8598.0   \n                 pelt32           6251.5   6483.55   6512.71  10.0   6520.0   \n                 pelt32_utilest   6251.0   6326.10   6326.82  10.0   6327.0   \n                 pelt8            8389.0   8479.55   8515.91  10.0   8525.0   \n                 pelt8_utilest    8345.5   8452.35   8472.87  10.0   8478.0   \n                 walt10           7134.5   7303.65   7340.73  10.0   7350.0   \n                 walt20           6562.0   6670.90   6677.38  10.0   6679.0   \nWorkv2           pelt16           8531.0   8583.80   8589.56  10.0   8591.0   \n                 pelt16_utilest   8647.0   8687.65   8695.93  10.0   8698.0   \n                 pelt32           6881.0   6974.85   6984.57  10.0   6987.0   \n                 pelt32_utilest   7429.0   7477.85   7480.37  10.0   7481.0   \n                 pelt8            8547.0   8589.10   8597.02  10.0   8599.0   \n                 pelt8_utilest    8622.0   8698.35   8718.87  10.0   8724.0   \n                 walt10           7537.0   7581.20   7582.64  10.0   7583.0   \n                 walt20           7215.5   7271.30   7273.46  10.0   7274.0   \nWritingV2        pelt16           8347.5   8469.85   8472.37  10.0   8473.0   \n                 pelt16_utilest   8467.0   8555.55   8577.51  10.0   8583.0   \n                 pelt32           5822.5   5929.75   5974.75  10.0   5986.0   \n                 pelt32_utilest   6603.5   6661.05   6672.21  10.0   6675.0   \n                 pelt8            8429.5   8471.85   8474.37  10.0   8475.0   \n                 pelt8_utilest    8431.5   8595.45   8602.29  10.0   8604.0   \n                 walt10           7109.5   7151.25   7156.65  10.0   7158.0   \n                 walt20           6526.0   6654.40   6664.48  10.0   6667.0   \n\n                                                               \nstats                               mean      min         std  \nmetric           kernel                                        \nDataManipulation pelt16           5678.3   5561.0   62.460743  \n                 pelt16_utilest   5700.8   5596.0   60.219598  \n                 pelt32           5538.3   5402.0   84.616849  \n                 pelt32_utilest   5564.3   5481.0   55.679739  \n                 pelt8            5680.5   5570.0   65.187337  \n                 pelt8_utilest    5677.7   5534.0   62.746492  \n                 walt10           5601.3   5465.0   72.245031  \n                 walt20           5628.6   5528.0   57.015008  \nPhotoEditingV2   pelt16          17862.3  17444.0  344.195697  \n                 pelt16_utilest  18865.4  18180.0  368.020289  \n                 pelt32          12568.6  11970.0  508.571245  \n                 pelt32_utilest  15921.1  15270.0  339.123855  \n                 pelt8           18072.4  17071.0  403.217118  \n                 pelt8_utilest   18829.3  18266.0  459.767828  \n                 walt10          14108.2  13771.0  180.532422  \n                 walt20          13350.8  13135.0  180.038144  \nVideoEditing     pelt16           6292.9   6274.0   12.853447  \n                 pelt16_utilest   6305.4   6284.0   11.880890  \n                 pelt32           6129.6   6104.0   10.647900  \n                 pelt32_utilest   6169.5   6111.0   42.768758  \n                 pelt8            6282.7   6255.0   18.791547  \n                 pelt8_utilest    6322.8   6274.0   19.187959  \n                 walt10           6052.7   6036.0   10.349987  \n                 walt20           6084.9   6067.0    8.595218  \nWebV2            pelt16           8450.8   8337.0   87.916374  \n                 pelt16_utilest   8400.2   8296.0   89.832931  \n                 pelt32           6268.6   6020.0  149.609269  \n                 pelt32_utilest   6240.2   6109.0   79.042605  \n                 pelt8            8360.5   8217.0   97.538881  \n                 pelt8_utilest    8337.5   8175.0   87.031603  \n                 walt10           7157.5   7084.0   83.486859  \n                 walt20           6563.6   6461.0   72.819716  \nWorkv2           pelt16           8527.1   8449.0   46.469703  \n                 pelt16_utilest   8632.0   8552.0   48.120220  \n                 pelt32           6893.7   6774.0   68.146982  \n                 pelt32_utilest   7419.1   7333.0   52.237598  \n                 pelt8            8540.0   8403.0   53.456109  \n                 pelt8_utilest    8618.4   8535.0   55.727910  \n                 walt10           7538.3   7468.0   34.509419  \n                 walt20           7220.6   7164.0   34.241625  \nWritingV2        pelt16           8360.7   8249.0   71.814653  \n                 pelt16_utilest   8416.7   7861.0  203.181391  \n                 pelt32           5826.5   5751.0   65.306542  \n                 pelt32_utilest   6592.4   6467.0   60.330939  \n                 pelt8            8425.6   8352.0   42.771226  \n                 pelt8_utilest    8439.6   8316.0  107.504212  \n                 walt10           7112.2   7065.0   31.460028  \n                 walt20           6540.9   6458.0   68.100334  ",
            "text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr>\n      <th></th>\n      <th></th>\n      <th colspan=\"8\" halign=\"left\">value</th>\n    </tr>\n    <tr>\n      <th></th>\n      <th>stats</th>\n      <th>50%</th>\n      <th>95%</th>\n      <th>99%</th>\n      <th>count</th>\n      <th>max</th>\n      <th>mean</th>\n      <th>min</th>\n      <th>std</th>\n    </tr>\n    <tr>\n      <th>metric</th>\n      <th>kernel</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th rowspan=\"8\" valign=\"top\">DataManipulation</th>\n      <th>pelt16</th>\n      <td>5696.0</td>\n      <td>5744.55</td>\n      <td>5752.11</td>\n      <td>10.0</td>\n      <td>5754.0</td>\n      <td>5678.3</td>\n      <td>5561.0</td>\n      <td>62.460743</td>\n    </tr>\n    <tr>\n      <th>pelt16_utilest</th>\n      <td>5697.0</td>\n      <td>5783.80</td>\n      <td>5789.56</td>\n      <td>10.0</td>\n      <td>5791.0</td>\n      <td>5700.8</td>\n      <td>5596.0</td>\n      <td>60.219598</td>\n    </tr>\n    <tr>\n      <th>pelt32</th>\n      <td>5537.0</td>\n      <td>5641.00</td>\n      <td>5648.20</td>\n      <td>10.0</td>\n      <td>5650.0</td>\n      <td>5538.3</td>\n      <td>5402.0</td>\n      <td>84.616849</td>\n    </tr>\n    <tr>\n      <th>pelt32_utilest</th>\n      <td>5568.0</td>\n      <td>5627.20</td>\n      <td>5628.64</td>\n      <td>10.0</td>\n      <td>5629.0</td>\n      <td>5564.3</td>\n      <td>5481.0</td>\n      <td>55.679739</td>\n    </tr>\n    <tr>\n      <th>pelt8</th>\n      <td>5704.0</td>\n      <td>5749.15</td>\n      <td>5761.03</td>\n      <td>10.0</td>\n      <td>5764.0</td>\n      <td>5680.5</td>\n      <td>5570.0</td>\n      <td>65.187337</td>\n    </tr>\n    <tr>\n      <th>pelt8_utilest</th>\n      <td>5693.0</td>\n      <td>5728.75</td>\n      <td>5730.55</td>\n      <td>10.0</td>\n      <td>5731.0</td>\n      <td>5677.7</td>\n      <td>5534.0</td>\n      <td>62.746492</td>\n    </tr>\n    <tr>\n      <th>walt10</th>\n      <td>5611.5</td>\n      <td>5692.95</td>\n      <td>5724.99</td>\n      <td>10.0</td>\n      <td>5733.0</td>\n      <td>5601.3</td>\n      <td>5465.0</td>\n      <td>72.245031</td>\n    </tr>\n    <tr>\n      <th>walt20</th>\n      <td>5645.5</td>\n      <td>5694.20</td>\n      <td>5695.64</td>\n      <td>10.0</td>\n      <td>5696.0</td>\n      <td>5628.6</td>\n      <td>5528.0</td>\n      <td>57.015008</td>\n    </tr>\n    <tr>\n      <th rowspan=\"8\" valign=\"top\">PhotoEditingV2</th>\n      <th>pelt16</th>\n      <td>17778.0</td>\n      <td>18383.85</td>\n      <td>18523.17</td>\n      <td>10.0</td>\n      <td>18558.0</td>\n      <td>17862.3</td>\n      <td>17444.0</td>\n      <td>344.195697</td>\n    </tr>\n    <tr>\n      <th>pelt16_utilest</th>\n      <td>18943.0</td>\n      <td>19293.75</td>\n      <td>19396.35</td>\n      <td>10.0</td>\n      <td>19422.0</td>\n      <td>18865.4</td>\n      <td>18180.0</td>\n      <td>368.020289</td>\n    </tr>\n    <tr>\n      <th>pelt32</th>\n      <td>12458.0</td>\n      <td>13427.45</td>\n      <td>13441.49</td>\n      <td>10.0</td>\n      <td>13445.0</td>\n      <td>12568.6</td>\n      <td>11970.0</td>\n      <td>508.571245</td>\n    </tr>\n    <tr>\n      <th>pelt32_utilest</th>\n      <td>16023.5</td>\n      <td>16267.85</td>\n      <td>16270.37</td>\n      <td>10.0</td>\n      <td>16271.0</td>\n      <td>15921.1</td>\n      <td>15270.0</td>\n      <td>339.123855</td>\n    </tr>\n    <tr>\n      <th>pelt8</th>\n      <td>18149.0</td>\n      <td>18460.30</td>\n      <td>18491.26</td>\n      <td>10.0</td>\n      <td>18499.0</td>\n      <td>18072.4</td>\n      <td>17071.0</td>\n      <td>403.217118</td>\n    </tr>\n    <tr>\n      <th>pelt8_utilest</th>\n      <td>18781.0</td>\n      <td>19576.10</td>\n      <td>19670.42</td>\n      <td>10.0</td>\n      <td>19694.0</td>\n      <td>18829.3</td>\n      <td>18266.0</td>\n      <td>459.767828</td>\n    </tr>\n    <tr>\n      <th>walt10</th>\n      <td>14122.0</td>\n      <td>14338.30</td>\n      <td>14369.26</td>\n      <td>10.0</td>\n      <td>14377.0</td>\n      <td>14108.2</td>\n      <td>13771.0</td>\n      <td>180.532422</td>\n    </tr>\n    <tr>\n      <th>walt20</th>\n      <td>13320.5</td>\n      <td>13579.80</td>\n      <td>13585.56</td>\n      <td>10.0</td>\n      <td>13587.0</td>\n      <td>13350.8</td>\n      <td>13135.0</td>\n      <td>180.038144</td>\n    </tr>\n    <tr>\n      <th rowspan=\"8\" valign=\"top\">VideoEditing</th>\n      <th>pelt16</th>\n      <td>6290.5</td>\n      <td>6311.40</td>\n      <td>6314.28</td>\n      <td>10.0</td>\n      <td>6315.0</td>\n      <td>6292.9</td>\n      <td>6274.0</td>\n      <td>12.853447</td>\n    </tr>\n    <tr>\n      <th>pelt16_utilest</th>\n      <td>6306.5</td>\n      <td>6320.05</td>\n      <td>6324.01</td>\n      <td>10.0</td>\n      <td>6325.0</td>\n      <td>6305.4</td>\n      <td>6284.0</td>\n      <td>11.880890</td>\n    </tr>\n    <tr>\n      <th>pelt32</th>\n      <td>6131.0</td>\n      <td>6140.20</td>\n      <td>6141.64</td>\n      <td>10.0</td>\n      <td>6142.0</td>\n      <td>6129.6</td>\n      <td>6104.0</td>\n      <td>10.647900</td>\n    </tr>\n    <tr>\n      <th>pelt32_utilest</th>\n      <td>6174.0</td>\n      <td>6215.10</td>\n      <td>6215.82</td>\n      <td>10.0</td>\n      <td>6216.0</td>\n      <td>6169.5</td>\n      <td>6111.0</td>\n      <td>42.768758</td>\n    </tr>\n    <tr>\n      <th>pelt8</th>\n      <td>6283.5</td>\n      <td>6309.35</td>\n      <td>6315.47</td>\n      <td>10.0</td>\n      <td>6317.0</td>\n      <td>6282.7</td>\n      <td>6255.0</td>\n      <td>18.791547</td>\n    </tr>\n    <tr>\n      <th>pelt8_utilest</th>\n      <td>6327.0</td>\n      <td>6340.65</td>\n      <td>6341.73</td>\n      <td>10.0</td>\n      <td>6342.0</td>\n      <td>6322.8</td>\n      <td>6274.0</td>\n      <td>19.187959</td>\n    </tr>\n    <tr>\n      <th>walt10</th>\n      <td>6051.5</td>\n      <td>6069.20</td>\n      <td>6070.64</td>\n      <td>10.0</td>\n      <td>6071.0</td>\n      <td>6052.7</td>\n      <td>6036.0</td>\n      <td>10.349987</td>\n    </tr>\n    <tr>\n      <th>walt20</th>\n      <td>6087.5</td>\n      <td>6094.20</td>\n      <td>6095.64</td>\n      <td>10.0</td>\n      <td>6096.0</td>\n      <td>6084.9</td>\n      <td>6067.0</td>\n      <td>8.595218</td>\n    </tr>\n    <tr>\n      <th rowspan=\"8\" valign=\"top\">WebV2</th>\n      <th>pelt16</th>\n      <td>8442.5</td>\n      <td>8580.35</td>\n      <td>8593.67</td>\n      <td>10.0</td>\n      <td>8597.0</td>\n      <td>8450.8</td>\n      <td>8337.0</td>\n      <td>87.916374</td>\n    </tr>\n    <tr>\n      <th>pelt16_utilest</th>\n      <td>8380.0</td>\n      <td>8536.80</td>\n      <td>8585.76</td>\n      <td>10.0</td>\n      <td>8598.0</td>\n      <td>8400.2</td>\n      <td>8296.0</td>\n      <td>89.832931</td>\n    </tr>\n    <tr>\n      <th>pelt32</th>\n      <td>6251.5</td>\n      <td>6483.55</td>\n      <td>6512.71</td>\n      <td>10.0</td>\n      <td>6520.0</td>\n      <td>6268.6</td>\n      <td>6020.0</td>\n      <td>149.609269</td>\n    </tr>\n    <tr>\n      <th>pelt32_utilest</th>\n      <td>6251.0</td>\n      <td>6326.10</td>\n      <td>6326.82</td>\n      <td>10.0</td>\n      <td>6327.0</td>\n      <td>6240.2</td>\n      <td>6109.0</td>\n      <td>79.042605</td>\n    </tr>\n    <tr>\n      <th>pelt8</th>\n      <td>8389.0</td>\n      <td>8479.55</td>\n      <td>8515.91</td>\n      <td>10.0</td>\n      <td>8525.0</td>\n      <td>8360.5</td>\n      <td>8217.0</td>\n      <td>97.538881</td>\n    </tr>\n    <tr>\n      <th>pelt8_utilest</th>\n      <td>8345.5</td>\n      <td>8452.35</td>\n      <td>8472.87</td>\n      <td>10.0</td>\n      <td>8478.0</td>\n      <td>8337.5</td>\n      <td>8175.0</td>\n      <td>87.031603</td>\n    </tr>\n    <tr>\n      <th>walt10</th>\n      <td>7134.5</td>\n      <td>7303.65</td>\n      <td>7340.73</td>\n      <td>10.0</td>\n      <td>7350.0</td>\n      <td>7157.5</td>\n      <td>7084.0</td>\n      <td>83.486859</td>\n    </tr>\n    <tr>\n      <th>walt20</th>\n      <td>6562.0</td>\n      <td>6670.90</td>\n      <td>6677.38</td>\n      <td>10.0</td>\n      <td>6679.0</td>\n      <td>6563.6</td>\n      <td>6461.0</td>\n      <td>72.819716</td>\n    </tr>\n    <tr>\n      <th rowspan=\"8\" valign=\"top\">Workv2</th>\n      <th>pelt16</th>\n      <td>8531.0</td>\n      <td>8583.80</td>\n      <td>8589.56</td>\n      <td>10.0</td>\n      <td>8591.0</td>\n      <td>8527.1</td>\n      <td>8449.0</td>\n      <td>46.469703</td>\n    </tr>\n    <tr>\n      <th>pelt16_utilest</th>\n      <td>8647.0</td>\n      <td>8687.65</td>\n      <td>8695.93</td>\n      <td>10.0</td>\n      <td>8698.0</td>\n      <td>8632.0</td>\n      <td>8552.0</td>\n      <td>48.120220</td>\n    </tr>\n    <tr>\n      <th>pelt32</th>\n      <td>6881.0</td>\n      <td>6974.85</td>\n      <td>6984.57</td>\n      <td>10.0</td>\n      <td>6987.0</td>\n      <td>6893.7</td>\n      <td>6774.0</td>\n      <td>68.146982</td>\n    </tr>\n    <tr>\n      <th>pelt32_utilest</th>\n      <td>7429.0</td>\n      <td>7477.85</td>\n      <td>7480.37</td>\n      <td>10.0</td>\n      <td>7481.0</td>\n      <td>7419.1</td>\n      <td>7333.0</td>\n      <td>52.237598</td>\n    </tr>\n    <tr>\n      <th>pelt8</th>\n      <td>8547.0</td>\n      <td>8589.10</td>\n      <td>8597.02</td>\n      <td>10.0</td>\n      <td>8599.0</td>\n      <td>8540.0</td>\n      <td>8403.0</td>\n      <td>53.456109</td>\n    </tr>\n    <tr>\n      <th>pelt8_utilest</th>\n      <td>8622.0</td>\n      <td>8698.35</td>\n      <td>8718.87</td>\n      <td>10.0</td>\n      <td>8724.0</td>\n      <td>8618.4</td>\n      <td>8535.0</td>\n      <td>55.727910</td>\n    </tr>\n    <tr>\n      <th>walt10</th>\n      <td>7537.0</td>\n      <td>7581.20</td>\n      <td>7582.64</td>\n      <td>10.0</td>\n      <td>7583.0</td>\n      <td>7538.3</td>\n      <td>7468.0</td>\n      <td>34.509419</td>\n    </tr>\n    <tr>\n      <th>walt20</th>\n      <td>7215.5</td>\n      <td>7271.30</td>\n      <td>7273.46</td>\n      <td>10.0</td>\n      <td>7274.0</td>\n      <td>7220.6</td>\n      <td>7164.0</td>\n      <td>34.241625</td>\n    </tr>\n    <tr>\n      <th rowspan=\"8\" valign=\"top\">WritingV2</th>\n      <th>pelt16</th>\n      <td>8347.5</td>\n      <td>8469.85</td>\n      <td>8472.37</td>\n      <td>10.0</td>\n      <td>8473.0</td>\n      <td>8360.7</td>\n      <td>8249.0</td>\n      <td>71.814653</td>\n    </tr>\n    <tr>\n      <th>pelt16_utilest</th>\n      <td>8467.0</td>\n      <td>8555.55</td>\n      <td>8577.51</td>\n      <td>10.0</td>\n      <td>8583.0</td>\n      <td>8416.7</td>\n      <td>7861.0</td>\n      <td>203.181391</td>\n    </tr>\n    <tr>\n      <th>pelt32</th>\n      <td>5822.5</td>\n      <td>5929.75</td>\n      <td>5974.75</td>\n      <td>10.0</td>\n      <td>5986.0</td>\n      <td>5826.5</td>\n      <td>5751.0</td>\n      <td>65.306542</td>\n    </tr>\n    <tr>\n      <th>pelt32_utilest</th>\n      <td>6603.5</td>\n      <td>6661.05</td>\n      <td>6672.21</td>\n      <td>10.0</td>\n      <td>6675.0</td>\n      <td>6592.4</td>\n      <td>6467.0</td>\n      <td>60.330939</td>\n    </tr>\n    <tr>\n      <th>pelt8</th>\n      <td>8429.5</td>\n      <td>8471.85</td>\n      <td>8474.37</td>\n      <td>10.0</td>\n      <td>8475.0</td>\n      <td>8425.6</td>\n      <td>8352.0</td>\n      <td>42.771226</td>\n    </tr>\n    <tr>\n      <th>pelt8_utilest</th>\n      <td>8431.5</td>\n      <td>8595.45</td>\n      <td>8602.29</td>\n      <td>10.0</td>\n      <td>8604.0</td>\n      <td>8439.6</td>\n      <td>8316.0</td>\n      <td>107.504212</td>\n    </tr>\n    <tr>\n      <th>walt10</th>\n      <td>7109.5</td>\n      <td>7151.25</td>\n      <td>7156.65</td>\n      <td>10.0</td>\n      <td>7158.0</td>\n      <td>7112.2</td>\n      <td>7065.0</td>\n      <td>31.460028</td>\n    </tr>\n    <tr>\n      <th>walt20</th>\n      <td>6526.0</td>\n      <td>6654.40</td>\n      <td>6664.48</td>\n      <td>10.0</td>\n      <td>6667.0</td>\n      <td>6540.9</td>\n      <td>6458.0</td>\n      <td>68.100334</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "# Generic comparison plots\n`plot_comparisons` can be used to automatically discover metrics that changed between different kernel versions or tags. "
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "logging.info(\"Here is the list of kernels available:\")\nlogging.info(\"  %s\", ', '.join(df['kernel'].unique().tolist() ))",
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": "2018-01-26 10:54:35,831 INFO    : root         : Here is the list of kernels available:\n2018-01-26 10:54:36,332 INFO    : root         :   pelt32_utilest, walt10, pelt16, walt20, pelt8, pelt16_utilest, pelt8_utilest, pelt32\n"
        }
      ]
    },
    {
      "metadata": {
        "scrolled": false,
        "trusted": true
      },
      "cell_type": "code",
      "source": "# Select the baseline kernels for comparisions:\n# by deafult we use the first available:\nkernel_baseline = 'walt10' #df['kernel'].iloc[0]\n# Or defined here below one of the above reported kernels as baseline for comparisions\n# kernel_baseline = \"PutHereYourKernelName\"\n\nlogging.info(\"Comparing against baseline kernel: %s\", kernel_baseline)\n\ncollector.plot_comparisons(base_id=kernel_baseline, by='kernel')",
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": "2018-01-26 10:54:36,342 INFO    : root         : Comparing against baseline kernel: walt10\n/data/Code/lisa/libs/utils/wa_results_collector.py:1055: MatplotlibDeprecationWarning: The *bottom* kwarg to `barh` is deprecated use *y* instead. Support for *bottom* will be removed in Matplotlib 3.0\n  color=colors[i % len(colors)], align='center')\n"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABAsAAAe7CAYAAADGGClfAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nYII=\n",
            "text/plain": "<matplotlib.figure.Figure at 0x7fc42f3d1b90>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABAsAAAb8CAYAAAByMhg/AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nXviSIVmHAAAAAElFTkSuQmCC\n",
            "text/plain": "<matplotlib.figure.Figure at 0x7fc40883c850>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABAsAAAb8CAYAAAByMhg/AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
            "text/plain": "<matplotlib.figure.Figure at 0x7fc4c28a3dd0>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABAsAAAY+CAYAAAAuEqeAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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