{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Post Deployment Data QA Desktop Search Instrumentation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tasks:\n",
    "* **A/B Test Setup for Search Move Changes** [T259250](https://phabricator.wikimedia.org/T259250)\n",
    "* **SearchSatisfaction Instrumentation Changes** [T262300](https://phabricator.wikimedia.org/T262300)\n",
    "* **AB Test Setup for new search widget** [T261647](https://phabricator.wikimedia.org/T261647)\n",
    "\n",
    "[QA Doc](https://docs.google.com/spreadsheets/d/1DpuXcpUdFPqsupiyeDpNH50NiISNWP1c3VwiEK9zqpw/edit#gid=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Contents\n",
    "\n",
    "1. [Overview](#Overview)\n",
    "2. [New Search Location QA](#New-Search-Location-QA)\n",
    "3. [New Search Widget QA](#New-Search-Widget-QA)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Overview"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In [T256100](https://phabricator.wikimedia.org/T256100), we added a skin version field and new values for the inputLocation and extraParams fields to record data as part of the following two AB tests on deployed search changes: \n",
    "1) The first on the new location of the search widget.\n",
    "2) The second on the new widget / experience we're currently building in Vue.js.\n",
    "\n",
    "These two A/B tests together support four possible configurations:\n",
    "\n",
    "|skinVersion|\tinputLocation|\textraParams\t|Description|\n",
    "|:--------|:--------|:--------|:--------|\n",
    "|legacy|\t\"header-navigation\"|\t|\tVector Legacy skin with Legacy search (current master)|\n",
    "|latest|\t\"header-navigation\"|\t|\tVector Latest skin with Legacy search (current master)|\n",
    "|latest|\t\"header-moved\"|\t\t|Vector Latest skin with Legacy search and latest location|\n",
    "|latest|\t\"header-moved\"|\t\"WVUI\"|\tVector Latest skin with Latest search and latest location|\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# New Search Location QA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The new location of the search functionarily was deployed to all projects on 28 September 2020. The new location is available by default for anonymous users on our early adopter wikis, and by preference for all other users.\n",
    "\n",
    "We are performing an A/B test of the new location with logged-in users on our early adopter wikis. 50% of logged-in users are seeing the new experience, while the other 50% are seeing the old experience. The test only applies to users on modern vector.\n",
    "\n",
    "\n",
    "The [SearchSatisfaction Schema](https://meta.wikimedia.org/wiki/Schema:SearchSatisfaction) will be used to track events from these changes.\n",
    "\n",
    "Note: Bucketing is done on a search session basis. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I checked the following scenarios:\n",
    "* Check events and distinct sessions per header location (PASSED)\n",
    "* Check date when events started coming in and the number of events appear as expected (PASSED)\n",
    "* Correct inputLocations associated with each skin version (header-moved should not be recorded with legacy) (PASSED: BUG FIX DEPLOYED ON OCTOBER 13)\n",
    "* Check that skinVersion is only recorded when skin is vector (PASSED)\n",
    "* Check associated actions and sources (PASSED)\n",
    "* Check events appear for wikis as expected (PASSED)\n",
    "* Check trend of logged in and logged out sessions and events. (PASSED) \n",
    "* Check that AB test is balanced (PASSED)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "shhh <- function(expr) suppressPackageStartupMessages(suppressWarnings(suppressMessages(expr)))\n",
    "shhh({\n",
    "    library(tidyverse); library(glue); library(lubridate); library(scales)\n",
    "})\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Collect Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "# collect data from SearchSatisfaction for the relevant fields.\n",
    "query <- \n",
    "\"SELECT\n",
    "    event.inputLocation AS search_location,\n",
    "    event.searchSessionId AS search_session,\n",
    "    event.skinVersion AS vector_version,\n",
    "    event.action AS action_type,\n",
    "    event.source AS source_type,\n",
    "    event.skin AS skin_type,\n",
    "    wiki AS wiki,\n",
    "    Count(*) AS events\n",
    "FROM event.searchSatisfaction\n",
    "-- review a few days prior to check when data started to come in\n",
    "    WHERE year = 2020 and ((month = 09 and day >= 28) OR month >= 10) \n",
    "    -- remove bots\n",
    "    AND useragent.is_bot = false \n",
    "GROUP BY \n",
    "    event.inputLocation,\n",
    "    event.searchSessionId,\n",
    "    event.skinVersion,\n",
    "    event.action,\n",
    "    event.source,\n",
    "    event.skin,\n",
    "    wiki\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Don't forget to authenticate with Kerberos using kinit\n",
      "\n"
     ]
    }
   ],
   "source": [
    "search_sessions <-  wmfdata::query_hive(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Total number of events and sessions per header location across all Wikis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` ungrouping output (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A tibble: 2 × 3</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>search_location</th><th scope=col>unique_sessions</th><th scope=col>total_events</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>header-moved     </td><td>35570589</td><td>256259728</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>38855815</td><td>276620657</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 2 × 3\n",
       "\\begin{tabular}{lll}\n",
       " search\\_location & unique\\_sessions & total\\_events\\\\\n",
       " <chr> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t header-moved      & 35570589 & 256259728\\\\\n",
       "\t header-navigation & 38855815 & 276620657\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 2 × 3\n",
       "\n",
       "| search_location &lt;chr&gt; | unique_sessions &lt;int&gt; | total_events &lt;int&gt; |\n",
       "|---|---|---|\n",
       "| header-moved      | 35570589 | 256259728 |\n",
       "| header-navigation | 38855815 | 276620657 |\n",
       "\n"
      ],
      "text/plain": [
       "  search_location   unique_sessions total_events\n",
       "1 header-moved      35570589        256259728   \n",
       "2 header-navigation 38855815        276620657   "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# overall\n",
    "search_sessions_bylocation <-search_sessions %>%\n",
    "# limit to search events completed in two new locations\n",
    "    filter(search_location %in% c('header-moved', 'header-navigation'),\n",
    "          filter) %>%\n",
    "    group_by(search_location) %>%\n",
    "    summarise(unique_sessions = n_distinct(search_session),\n",
    "             total_events = sum(events)) \n",
    "\n",
    "search_sessions_bylocation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking across all wikis, there should be a larger number of header-navigation search sessions and events as the new header location was only available by default for anonymous users on early adopter wikis and by preference for all ohter users. \n",
    "\n",
    "While the data show a slightly larger number of header-navigation events, I would expect this difference to be much higher. \n",
    "\n",
    "Update: Further investigation showed this was due to a bug that incorrectly logged header-navigation events as header-moved events on legacy skin. See further breakdowns below."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Search Location by Vector Version and Skin Type on All Wikis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'search_location', 'vector_version' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A grouped_df: 6 × 5</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>search_location</th><th scope=col>vector_version</th><th scope=col>skin_type</th><th scope=col>num_events</th><th scope=col>num_sessions</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>header-moved     </td><td>latest</td><td>vector</td><td> 30677585</td><td> 3823712</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>legacy</td><td>vector</td><td>225579407</td><td>31746694</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL  </td><td>NULL  </td><td>     2736</td><td>     492</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>latest</td><td>vector</td><td>  3992199</td><td>  576515</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>legacy</td><td>vector</td><td>272625862</td><td>38278963</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL  </td><td>NULL  </td><td>     2596</td><td>     499</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A grouped\\_df: 6 × 5\n",
       "\\begin{tabular}{lllll}\n",
       " search\\_location & vector\\_version & skin\\_type & num\\_events & num\\_sessions\\\\\n",
       " <chr> & <chr> & <chr> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t header-moved      & latest & vector &  30677585 &  3823712\\\\\n",
       "\t header-moved      & legacy & vector & 225579407 & 31746694\\\\\n",
       "\t header-moved      & NULL   & NULL   &      2736 &      492\\\\\n",
       "\t header-navigation & latest & vector &   3992199 &   576515\\\\\n",
       "\t header-navigation & legacy & vector & 272625862 & 38278963\\\\\n",
       "\t header-navigation & NULL   & NULL   &      2596 &      499\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A grouped_df: 6 × 5\n",
       "\n",
       "| search_location &lt;chr&gt; | vector_version &lt;chr&gt; | skin_type &lt;chr&gt; | num_events &lt;int&gt; | num_sessions &lt;int&gt; |\n",
       "|---|---|---|---|---|\n",
       "| header-moved      | latest | vector |  30677585 |  3823712 |\n",
       "| header-moved      | legacy | vector | 225579407 | 31746694 |\n",
       "| header-moved      | NULL   | NULL   |      2736 |      492 |\n",
       "| header-navigation | latest | vector |   3992199 |   576515 |\n",
       "| header-navigation | legacy | vector | 272625862 | 38278963 |\n",
       "| header-navigation | NULL   | NULL   |      2596 |      499 |\n",
       "\n"
      ],
      "text/plain": [
       "  search_location   vector_version skin_type num_events num_sessions\n",
       "1 header-moved      latest         vector     30677585   3823712    \n",
       "2 header-moved      legacy         vector    225579407  31746694    \n",
       "3 header-moved      NULL           NULL           2736       492    \n",
       "4 header-navigation latest         vector      3992199    576515    \n",
       "5 header-navigation legacy         vector    272625862  38278963    \n",
       "6 header-navigation NULL           NULL           2596       499    "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "search_location_check <- search_sessions %>%\n",
    "    filter(search_location %in% c('header-navigation', 'header-moved')) %>%\n",
    "    group_by(search_location, vector_version, skin_type) %>%\n",
    "    summarise(num_events = sum(events),\n",
    "             num_sessions = n_distinct(search_session))\n",
    "search_location_check"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "FAILED:\n",
    "\n",
    "ISSUE: Confirmed that the two header location types are only being recorded for the vector skin type; however, there are a large number header-moved events being recorded with legacy, which is not expected. There are also some header location events being recorded without an associated vector_version or skin.\n",
    "\n",
    "I will further review by wiki and day below to confirm when these events started occuring."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Further Investigate Legacy Events"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "## collect all search events with new header recorded on legacy by date.\n",
    "\n",
    "query <- \n",
    "\"SELECT\n",
    "    CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')) as date,\n",
    "    event.inputLocation AS search_location,\n",
    "    event.skin as skin_type,\n",
    "    event.skinVersion AS vector_version,\n",
    "    event.searchSessionId AS search_session,\n",
    "    wiki,\n",
    "    Count(*) as events\n",
    "FROM event.searchSatisfaction \n",
    "-- review a few days prior to check when data started to come in\n",
    "    WHERE year = 2020 AND ((month = 09 and day >= 20) OR month >= 10) \n",
    "-- review autocomplete searches on legacy\n",
    "    AND event.action = 'searchResultPage'\n",
    "    AND event.source = 'autocomplete'\n",
    "    AND event.skinVersion = 'legacy'\n",
    "    AND event.skin = 'vector'\n",
    "    AND useragent.is_bot = false \n",
    "GROUP BY \n",
    "    CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')),\n",
    "    event.inputLocation,\n",
    "    event.skin,\n",
    "    event.skinVersion,\n",
    "    event.searchSessionId,\n",
    "    wiki\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Don't forget to authenticate with Kerberos using kinit\n",
      "\n"
     ]
    }
   ],
   "source": [
    "search_sessions_legacy <-  wmfdata::query_hive(query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "search_sessions_legacy$date <- as.Date(search_sessions_legacy$date, format = \"%Y-%m-%d\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Legacy Events with New Header Location By Date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'date' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A grouped_df: 35 × 4</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>date</th><th scope=col>vector_version</th><th scope=col>num_events</th><th scope=col>num_sessions</th></tr>\n",
       "\t<tr><th scope=col>&lt;date&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>2020-09-22</td><td>legacy</td><td>       6</td><td>      3</td></tr>\n",
       "\t<tr><td>2020-09-23</td><td>legacy</td><td>      39</td><td>      8</td></tr>\n",
       "\t<tr><td>2020-09-24</td><td>legacy</td><td>     124</td><td>      8</td></tr>\n",
       "\t<tr><td>2020-09-25</td><td>legacy</td><td>      10</td><td>      3</td></tr>\n",
       "\t<tr><td>2020-09-26</td><td>legacy</td><td>      38</td><td>      6</td></tr>\n",
       "\t<tr><td>2020-09-27</td><td>legacy</td><td>      59</td><td>      6</td></tr>\n",
       "\t<tr><td>2020-09-28</td><td>legacy</td><td>    1077</td><td>    246</td></tr>\n",
       "\t<tr><td>2020-09-29</td><td>legacy</td><td>    4001</td><td>    843</td></tr>\n",
       "\t<tr><td>2020-09-30</td><td>legacy</td><td> 1820084</td><td> 264887</td></tr>\n",
       "\t<tr><td>2020-10-01</td><td>legacy</td><td>12434002</td><td>1831724</td></tr>\n",
       "\t<tr><td>2020-10-02</td><td>legacy</td><td>14168856</td><td>2014952</td></tr>\n",
       "\t<tr><td>2020-10-03</td><td>legacy</td><td>13081927</td><td>1800468</td></tr>\n",
       "\t<tr><td>2020-10-04</td><td>legacy</td><td>14650240</td><td>1994717</td></tr>\n",
       "\t<tr><td>2020-10-05</td><td>legacy</td><td>17662173</td><td>2457038</td></tr>\n",
       "\t<tr><td>2020-10-06</td><td>legacy</td><td>18107765</td><td>2496282</td></tr>\n",
       "\t<tr><td>2020-10-07</td><td>legacy</td><td>18173882</td><td>2508217</td></tr>\n",
       "\t<tr><td>2020-10-08</td><td>legacy</td><td>17938919</td><td>2467371</td></tr>\n",
       "\t<tr><td>2020-10-09</td><td>legacy</td><td>16807923</td><td>2322149</td></tr>\n",
       "\t<tr><td>2020-10-10</td><td>legacy</td><td>14741838</td><td>1988172</td></tr>\n",
       "\t<tr><td>2020-10-11</td><td>legacy</td><td>16162932</td><td>2164940</td></tr>\n",
       "\t<tr><td>2020-10-12</td><td>legacy</td><td>19126714</td><td>2612897</td></tr>\n",
       "\t<tr><td>2020-10-13</td><td>legacy</td><td>16117012</td><td>2281531</td></tr>\n",
       "\t<tr><td>2020-10-14</td><td>legacy</td><td> 5395902</td><td> 901123</td></tr>\n",
       "\t<tr><td>2020-10-15</td><td>legacy</td><td> 3424183</td><td> 596037</td></tr>\n",
       "\t<tr><td>2020-10-16</td><td>legacy</td><td> 1799897</td><td> 327429</td></tr>\n",
       "\t<tr><td>2020-10-17</td><td>legacy</td><td>  984685</td><td> 182818</td></tr>\n",
       "\t<tr><td>2020-10-18</td><td>legacy</td><td>  811087</td><td> 154778</td></tr>\n",
       "\t<tr><td>2020-10-19</td><td>legacy</td><td>  829004</td><td> 161731</td></tr>\n",
       "\t<tr><td>2020-10-20</td><td>legacy</td><td>  643590</td><td> 126207</td></tr>\n",
       "\t<tr><td>2020-10-21</td><td>legacy</td><td>  418973</td><td>  82357</td></tr>\n",
       "\t<tr><td>2020-10-22</td><td>legacy</td><td>  186056</td><td>  39050</td></tr>\n",
       "\t<tr><td>2020-10-23</td><td>legacy</td><td>   35077</td><td>   7978</td></tr>\n",
       "\t<tr><td>2020-10-24</td><td>legacy</td><td>   23123</td><td>   5196</td></tr>\n",
       "\t<tr><td>2020-10-25</td><td>legacy</td><td>   19617</td><td>   4450</td></tr>\n",
       "\t<tr><td>2020-10-26</td><td>legacy</td><td>    9896</td><td>   2267</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A grouped\\_df: 35 × 4\n",
       "\\begin{tabular}{llll}\n",
       " date & vector\\_version & num\\_events & num\\_sessions\\\\\n",
       " <date> & <chr> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t 2020-09-22 & legacy &        6 &       3\\\\\n",
       "\t 2020-09-23 & legacy &       39 &       8\\\\\n",
       "\t 2020-09-24 & legacy &      124 &       8\\\\\n",
       "\t 2020-09-25 & legacy &       10 &       3\\\\\n",
       "\t 2020-09-26 & legacy &       38 &       6\\\\\n",
       "\t 2020-09-27 & legacy &       59 &       6\\\\\n",
       "\t 2020-09-28 & legacy &     1077 &     246\\\\\n",
       "\t 2020-09-29 & legacy &     4001 &     843\\\\\n",
       "\t 2020-09-30 & legacy &  1820084 &  264887\\\\\n",
       "\t 2020-10-01 & legacy & 12434002 & 1831724\\\\\n",
       "\t 2020-10-02 & legacy & 14168856 & 2014952\\\\\n",
       "\t 2020-10-03 & legacy & 13081927 & 1800468\\\\\n",
       "\t 2020-10-04 & legacy & 14650240 & 1994717\\\\\n",
       "\t 2020-10-05 & legacy & 17662173 & 2457038\\\\\n",
       "\t 2020-10-06 & legacy & 18107765 & 2496282\\\\\n",
       "\t 2020-10-07 & legacy & 18173882 & 2508217\\\\\n",
       "\t 2020-10-08 & legacy & 17938919 & 2467371\\\\\n",
       "\t 2020-10-09 & legacy & 16807923 & 2322149\\\\\n",
       "\t 2020-10-10 & legacy & 14741838 & 1988172\\\\\n",
       "\t 2020-10-11 & legacy & 16162932 & 2164940\\\\\n",
       "\t 2020-10-12 & legacy & 19126714 & 2612897\\\\\n",
       "\t 2020-10-13 & legacy & 16117012 & 2281531\\\\\n",
       "\t 2020-10-14 & legacy &  5395902 &  901123\\\\\n",
       "\t 2020-10-15 & legacy &  3424183 &  596037\\\\\n",
       "\t 2020-10-16 & legacy &  1799897 &  327429\\\\\n",
       "\t 2020-10-17 & legacy &   984685 &  182818\\\\\n",
       "\t 2020-10-18 & legacy &   811087 &  154778\\\\\n",
       "\t 2020-10-19 & legacy &   829004 &  161731\\\\\n",
       "\t 2020-10-20 & legacy &   643590 &  126207\\\\\n",
       "\t 2020-10-21 & legacy &   418973 &   82357\\\\\n",
       "\t 2020-10-22 & legacy &   186056 &   39050\\\\\n",
       "\t 2020-10-23 & legacy &    35077 &    7978\\\\\n",
       "\t 2020-10-24 & legacy &    23123 &    5196\\\\\n",
       "\t 2020-10-25 & legacy &    19617 &    4450\\\\\n",
       "\t 2020-10-26 & legacy &     9896 &    2267\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A grouped_df: 35 × 4\n",
       "\n",
       "| date &lt;date&gt; | vector_version &lt;chr&gt; | num_events &lt;int&gt; | num_sessions &lt;int&gt; |\n",
       "|---|---|---|---|\n",
       "| 2020-09-22 | legacy |        6 |       3 |\n",
       "| 2020-09-23 | legacy |       39 |       8 |\n",
       "| 2020-09-24 | legacy |      124 |       8 |\n",
       "| 2020-09-25 | legacy |       10 |       3 |\n",
       "| 2020-09-26 | legacy |       38 |       6 |\n",
       "| 2020-09-27 | legacy |       59 |       6 |\n",
       "| 2020-09-28 | legacy |     1077 |     246 |\n",
       "| 2020-09-29 | legacy |     4001 |     843 |\n",
       "| 2020-09-30 | legacy |  1820084 |  264887 |\n",
       "| 2020-10-01 | legacy | 12434002 | 1831724 |\n",
       "| 2020-10-02 | legacy | 14168856 | 2014952 |\n",
       "| 2020-10-03 | legacy | 13081927 | 1800468 |\n",
       "| 2020-10-04 | legacy | 14650240 | 1994717 |\n",
       "| 2020-10-05 | legacy | 17662173 | 2457038 |\n",
       "| 2020-10-06 | legacy | 18107765 | 2496282 |\n",
       "| 2020-10-07 | legacy | 18173882 | 2508217 |\n",
       "| 2020-10-08 | legacy | 17938919 | 2467371 |\n",
       "| 2020-10-09 | legacy | 16807923 | 2322149 |\n",
       "| 2020-10-10 | legacy | 14741838 | 1988172 |\n",
       "| 2020-10-11 | legacy | 16162932 | 2164940 |\n",
       "| 2020-10-12 | legacy | 19126714 | 2612897 |\n",
       "| 2020-10-13 | legacy | 16117012 | 2281531 |\n",
       "| 2020-10-14 | legacy |  5395902 |  901123 |\n",
       "| 2020-10-15 | legacy |  3424183 |  596037 |\n",
       "| 2020-10-16 | legacy |  1799897 |  327429 |\n",
       "| 2020-10-17 | legacy |   984685 |  182818 |\n",
       "| 2020-10-18 | legacy |   811087 |  154778 |\n",
       "| 2020-10-19 | legacy |   829004 |  161731 |\n",
       "| 2020-10-20 | legacy |   643590 |  126207 |\n",
       "| 2020-10-21 | legacy |   418973 |   82357 |\n",
       "| 2020-10-22 | legacy |   186056 |   39050 |\n",
       "| 2020-10-23 | legacy |    35077 |    7978 |\n",
       "| 2020-10-24 | legacy |    23123 |    5196 |\n",
       "| 2020-10-25 | legacy |    19617 |    4450 |\n",
       "| 2020-10-26 | legacy |     9896 |    2267 |\n",
       "\n"
      ],
      "text/plain": [
       "   date       vector_version num_events num_sessions\n",
       "1  2020-09-22 legacy                6         3     \n",
       "2  2020-09-23 legacy               39         8     \n",
       "3  2020-09-24 legacy              124         8     \n",
       "4  2020-09-25 legacy               10         3     \n",
       "5  2020-09-26 legacy               38         6     \n",
       "6  2020-09-27 legacy               59         6     \n",
       "7  2020-09-28 legacy             1077       246     \n",
       "8  2020-09-29 legacy             4001       843     \n",
       "9  2020-09-30 legacy          1820084    264887     \n",
       "10 2020-10-01 legacy         12434002   1831724     \n",
       "11 2020-10-02 legacy         14168856   2014952     \n",
       "12 2020-10-03 legacy         13081927   1800468     \n",
       "13 2020-10-04 legacy         14650240   1994717     \n",
       "14 2020-10-05 legacy         17662173   2457038     \n",
       "15 2020-10-06 legacy         18107765   2496282     \n",
       "16 2020-10-07 legacy         18173882   2508217     \n",
       "17 2020-10-08 legacy         17938919   2467371     \n",
       "18 2020-10-09 legacy         16807923   2322149     \n",
       "19 2020-10-10 legacy         14741838   1988172     \n",
       "20 2020-10-11 legacy         16162932   2164940     \n",
       "21 2020-10-12 legacy         19126714   2612897     \n",
       "22 2020-10-13 legacy         16117012   2281531     \n",
       "23 2020-10-14 legacy          5395902    901123     \n",
       "24 2020-10-15 legacy          3424183    596037     \n",
       "25 2020-10-16 legacy          1799897    327429     \n",
       "26 2020-10-17 legacy           984685    182818     \n",
       "27 2020-10-18 legacy           811087    154778     \n",
       "28 2020-10-19 legacy           829004    161731     \n",
       "29 2020-10-20 legacy           643590    126207     \n",
       "30 2020-10-21 legacy           418973     82357     \n",
       "31 2020-10-22 legacy           186056     39050     \n",
       "32 2020-10-23 legacy            35077      7978     \n",
       "33 2020-10-24 legacy            23123      5196     \n",
       "34 2020-10-25 legacy            19617      4450     \n",
       "35 2020-10-26 legacy             9896      2267     "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "legacy_sessions_withnewsearchloc <- search_sessions_legacy %>%\n",
    "    filter(search_location == 'header-moved') %>%\n",
    "    group_by(date, vector_version) %>%\n",
    "    summarise(num_events = sum(events),\n",
    "             num_sessions = n_distinct(search_session)) %>%\n",
    "    arrange(date)\n",
    "\n",
    "legacy_sessions_withnewsearchloc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'date', 'search_location' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
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4iuNoZ4c88GttJlZfH+WM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\nV3oAO25mCJmSUexKDy1NhEp1XbTio0Dvm8uSwectWLBgzpw5MpkTuTEf5oK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3f/755z/88ENhYaHRaGzVqlW3bt1GjBgxduzY3r17WwaP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\nqe9bx46fNNBVYlOj980/eV56jq/aTwMU7gI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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 600
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p <- search_sessions_legacy %>%\n",
    "# compare header-moved to header-navigation dates\n",
    "    filter(search_location %in% c('header-moved', 'header-navigation')) %>%\n",
    "    group_by(date, search_location, vector_version) %>%\n",
    "    summarise(num_events = sum(events),\n",
    "             num_sessions = n_distinct(search_session)) %>%\n",
    "    ggplot(aes(x=date, y= num_sessions, color = search_location)) +\n",
    "    geom_line(size = 1.5) +\n",
    "    scale_y_continuous() +\n",
    "    labs (y = \"Number of autocomplete search sessions per day\",\n",
    "          x = \"Date\",\n",
    "         title = \"Daily search sessions by search bar location on legacy vector skin\")  +\n",
    "     theme_bw() +\n",
    "   theme(\n",
    "        plot.title = element_text(hjust = 0.5),\n",
    "        text = element_text(size=16),\n",
    "        axis.text.x = element_text(angle=45, hjust=1)) \n",
    " \n",
    "p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [],
   "source": [
    "ggsave(\"Figures/daily_legacy_search_events.png\", p, width = 16, height = 8, units = \"in\", dpi = 300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Header-moved events on legacy start recording around September 28th, the date of deployment. Unlike the latest skin, they appear to drop on Oct 14th and have continued to decrease since then.\n",
    "\n",
    "Upon further investigation, it was determined that bug leading to new header location events being recorded on legacy was due to a bug in the intrusmentation that was fixed on October 13th. Since the fix, these events are still declining."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Further Investigate NULL events"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [],
   "source": [
    "## collect all search header events that do not have an associated vector skin\n",
    "# Check number of events for each to see if roughly even or number of sessions?\n",
    "query <- \n",
    "\"SELECT\n",
    "    CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')) as date,\n",
    "    event.inputLocation AS search_location,\n",
    "    event.skinVersion as vector_version,\n",
    "    event.searchSessionId AS search_session,\n",
    "    wiki,\n",
    "    Count(*) as events\n",
    "FROM event.searchSatisfaction \n",
    "-- review a few days prior to check when data started to come in\n",
    "    WHERE year = 2020 AND ((month = 09 and day >= 20) OR month >= 10) \n",
    "-- further investigate instance where no skin was recorded\n",
    "    AND event.skinVersion is NULL\n",
    "    AND event.skin IS NULL\n",
    "    AND event.action = 'searchResultPage'\n",
    "    AND useragent.is_bot = false \n",
    "    AND event.source = 'autocomplete' \n",
    "GROUP BY \n",
    "    CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')),\n",
    "    event.inputLocation,\n",
    "    event.skinVersion,\n",
    "    event.searchSessionId,\n",
    "    wiki\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Don't forget to authenticate with Kerberos using kinit\n",
      "\n"
     ]
    }
   ],
   "source": [
    "search_sessions_null <-  wmfdata::query_hive(query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "search_sessions_null$date <- as.Date(search_sessions_null$date, format = \"%Y-%m-%d\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'search_location', 'vector_version' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A grouped_df: 55 × 5</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>search_location</th><th scope=col>vector_version</th><th scope=col>date</th><th scope=col>num_sessions</th><th scope=col>num_events</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;date&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-09-23</td><td>  1</td><td>  1</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-09-24</td><td> 23</td><td>107</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-09-25</td><td>119</td><td>630</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-09-26</td><td>123</td><td>704</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-09-27</td><td>104</td><td>574</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-09-28</td><td>120</td><td>624</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-09-29</td><td> 90</td><td>453</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL</td><td>2020-09-30</td><td>  5</td><td> 30</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-09-30</td><td> 70</td><td>352</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL</td><td>2020-10-01</td><td> 39</td><td>220</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-10-01</td><td> 40</td><td>182</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL</td><td>2020-10-02</td><td> 36</td><td>169</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-10-02</td><td> 12</td><td> 59</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL</td><td>2020-10-03</td><td> 43</td><td>268</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-10-03</td><td>  8</td><td> 36</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL</td><td>2020-10-04</td><td> 45</td><td>289</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-10-04</td><td> 10</td><td> 62</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL</td><td>2020-10-05</td><td> 40</td><td>190</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-10-05</td><td>  9</td><td> 59</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL</td><td>2020-10-06</td><td> 51</td><td>344</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-10-06</td><td>  6</td><td> 33</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL</td><td>2020-10-07</td><td> 34</td><td>195</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-10-07</td><td>  3</td><td> 13</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL</td><td>2020-10-08</td><td> 33</td><td>169</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-10-08</td><td>  5</td><td> 26</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL</td><td>2020-10-09</td><td> 27</td><td>159</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL</td><td>2020-10-10</td><td> 30</td><td>135</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL</td><td>2020-10-11</td><td> 30</td><td>166</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL</td><td>2020-10-12</td><td> 23</td><td>134</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-10-12</td><td>  2</td><td>  4</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL</td><td>2020-10-13</td><td> 21</td><td>100</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-10-13</td><td>  2</td><td> 16</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL</td><td>2020-10-14</td><td> 13</td><td> 58</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-10-14</td><td>  6</td><td> 33</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL</td><td>2020-10-15</td><td>  5</td><td> 16</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-10-15</td><td> 11</td><td> 48</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL</td><td>2020-10-16</td><td>  2</td><td> 12</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-10-16</td><td>  9</td><td> 76</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL</td><td>2020-10-17</td><td>  2</td><td> 32</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-10-17</td><td> 12</td><td> 59</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL</td><td>2020-10-18</td><td>  3</td><td> 10</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-10-18</td><td> 17</td><td> 87</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL</td><td>2020-10-19</td><td>  4</td><td> 18</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-10-19</td><td> 11</td><td> 50</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL</td><td>2020-10-20</td><td>  3</td><td> 10</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-10-20</td><td>  5</td><td> 16</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-10-21</td><td> 13</td><td> 93</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-10-22</td><td> 10</td><td> 69</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-10-23</td><td>  5</td><td> 16</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL</td><td>2020-10-24</td><td>  1</td><td>  1</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-10-24</td><td>  9</td><td> 45</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL</td><td>2020-10-25</td><td>  1</td><td> 10</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-10-25</td><td> 12</td><td> 61</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>NULL</td><td>2020-10-26</td><td>  1</td><td>  1</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>NULL</td><td>2020-10-26</td><td>  5</td><td> 24</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A grouped\\_df: 55 × 5\n",
       "\\begin{tabular}{lllll}\n",
       " search\\_location & vector\\_version & date & num\\_sessions & num\\_events\\\\\n",
       " <chr> & <chr> & <date> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t header-navigation & NULL & 2020-09-23 &   1 &   1\\\\\n",
       "\t header-navigation & NULL & 2020-09-24 &  23 & 107\\\\\n",
       "\t header-navigation & NULL & 2020-09-25 & 119 & 630\\\\\n",
       "\t header-navigation & NULL & 2020-09-26 & 123 & 704\\\\\n",
       "\t header-navigation & NULL & 2020-09-27 & 104 & 574\\\\\n",
       "\t header-navigation & NULL & 2020-09-28 & 120 & 624\\\\\n",
       "\t header-navigation & NULL & 2020-09-29 &  90 & 453\\\\\n",
       "\t header-moved      & NULL & 2020-09-30 &   5 &  30\\\\\n",
       "\t header-navigation & NULL & 2020-09-30 &  70 & 352\\\\\n",
       "\t header-moved      & NULL & 2020-10-01 &  39 & 220\\\\\n",
       "\t header-navigation & NULL & 2020-10-01 &  40 & 182\\\\\n",
       "\t header-moved      & NULL & 2020-10-02 &  36 & 169\\\\\n",
       "\t header-navigation & NULL & 2020-10-02 &  12 &  59\\\\\n",
       "\t header-moved      & NULL & 2020-10-03 &  43 & 268\\\\\n",
       "\t header-navigation & NULL & 2020-10-03 &   8 &  36\\\\\n",
       "\t header-moved      & NULL & 2020-10-04 &  45 & 289\\\\\n",
       "\t header-navigation & NULL & 2020-10-04 &  10 &  62\\\\\n",
       "\t header-moved      & NULL & 2020-10-05 &  40 & 190\\\\\n",
       "\t header-navigation & NULL & 2020-10-05 &   9 &  59\\\\\n",
       "\t header-moved      & NULL & 2020-10-06 &  51 & 344\\\\\n",
       "\t header-navigation & NULL & 2020-10-06 &   6 &  33\\\\\n",
       "\t header-moved      & NULL & 2020-10-07 &  34 & 195\\\\\n",
       "\t header-navigation & NULL & 2020-10-07 &   3 &  13\\\\\n",
       "\t header-moved      & NULL & 2020-10-08 &  33 & 169\\\\\n",
       "\t header-navigation & NULL & 2020-10-08 &   5 &  26\\\\\n",
       "\t header-moved      & NULL & 2020-10-09 &  27 & 159\\\\\n",
       "\t header-moved      & NULL & 2020-10-10 &  30 & 135\\\\\n",
       "\t header-moved      & NULL & 2020-10-11 &  30 & 166\\\\\n",
       "\t header-moved      & NULL & 2020-10-12 &  23 & 134\\\\\n",
       "\t header-navigation & NULL & 2020-10-12 &   2 &   4\\\\\n",
       "\t header-moved      & NULL & 2020-10-13 &  21 & 100\\\\\n",
       "\t header-navigation & NULL & 2020-10-13 &   2 &  16\\\\\n",
       "\t header-moved      & NULL & 2020-10-14 &  13 &  58\\\\\n",
       "\t header-navigation & NULL & 2020-10-14 &   6 &  33\\\\\n",
       "\t header-moved      & NULL & 2020-10-15 &   5 &  16\\\\\n",
       "\t header-navigation & NULL & 2020-10-15 &  11 &  48\\\\\n",
       "\t header-moved      & NULL & 2020-10-16 &   2 &  12\\\\\n",
       "\t header-navigation & NULL & 2020-10-16 &   9 &  76\\\\\n",
       "\t header-moved      & NULL & 2020-10-17 &   2 &  32\\\\\n",
       "\t header-navigation & NULL & 2020-10-17 &  12 &  59\\\\\n",
       "\t header-moved      & NULL & 2020-10-18 &   3 &  10\\\\\n",
       "\t header-navigation & NULL & 2020-10-18 &  17 &  87\\\\\n",
       "\t header-moved      & NULL & 2020-10-19 &   4 &  18\\\\\n",
       "\t header-navigation & NULL & 2020-10-19 &  11 &  50\\\\\n",
       "\t header-moved      & NULL & 2020-10-20 &   3 &  10\\\\\n",
       "\t header-navigation & NULL & 2020-10-20 &   5 &  16\\\\\n",
       "\t header-navigation & NULL & 2020-10-21 &  13 &  93\\\\\n",
       "\t header-navigation & NULL & 2020-10-22 &  10 &  69\\\\\n",
       "\t header-navigation & NULL & 2020-10-23 &   5 &  16\\\\\n",
       "\t header-moved      & NULL & 2020-10-24 &   1 &   1\\\\\n",
       "\t header-navigation & NULL & 2020-10-24 &   9 &  45\\\\\n",
       "\t header-moved      & NULL & 2020-10-25 &   1 &  10\\\\\n",
       "\t header-navigation & NULL & 2020-10-25 &  12 &  61\\\\\n",
       "\t header-moved      & NULL & 2020-10-26 &   1 &   1\\\\\n",
       "\t header-navigation & NULL & 2020-10-26 &   5 &  24\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A grouped_df: 55 × 5\n",
       "\n",
       "| search_location &lt;chr&gt; | vector_version &lt;chr&gt; | date &lt;date&gt; | num_sessions &lt;int&gt; | num_events &lt;int&gt; |\n",
       "|---|---|---|---|---|\n",
       "| header-navigation | NULL | 2020-09-23 |   1 |   1 |\n",
       "| header-navigation | NULL | 2020-09-24 |  23 | 107 |\n",
       "| header-navigation | NULL | 2020-09-25 | 119 | 630 |\n",
       "| header-navigation | NULL | 2020-09-26 | 123 | 704 |\n",
       "| header-navigation | NULL | 2020-09-27 | 104 | 574 |\n",
       "| header-navigation | NULL | 2020-09-28 | 120 | 624 |\n",
       "| header-navigation | NULL | 2020-09-29 |  90 | 453 |\n",
       "| header-moved      | NULL | 2020-09-30 |   5 |  30 |\n",
       "| header-navigation | NULL | 2020-09-30 |  70 | 352 |\n",
       "| header-moved      | NULL | 2020-10-01 |  39 | 220 |\n",
       "| header-navigation | NULL | 2020-10-01 |  40 | 182 |\n",
       "| header-moved      | NULL | 2020-10-02 |  36 | 169 |\n",
       "| header-navigation | NULL | 2020-10-02 |  12 |  59 |\n",
       "| header-moved      | NULL | 2020-10-03 |  43 | 268 |\n",
       "| header-navigation | NULL | 2020-10-03 |   8 |  36 |\n",
       "| header-moved      | NULL | 2020-10-04 |  45 | 289 |\n",
       "| header-navigation | NULL | 2020-10-04 |  10 |  62 |\n",
       "| header-moved      | NULL | 2020-10-05 |  40 | 190 |\n",
       "| header-navigation | NULL | 2020-10-05 |   9 |  59 |\n",
       "| header-moved      | NULL | 2020-10-06 |  51 | 344 |\n",
       "| header-navigation | NULL | 2020-10-06 |   6 |  33 |\n",
       "| header-moved      | NULL | 2020-10-07 |  34 | 195 |\n",
       "| header-navigation | NULL | 2020-10-07 |   3 |  13 |\n",
       "| header-moved      | NULL | 2020-10-08 |  33 | 169 |\n",
       "| header-navigation | NULL | 2020-10-08 |   5 |  26 |\n",
       "| header-moved      | NULL | 2020-10-09 |  27 | 159 |\n",
       "| header-moved      | NULL | 2020-10-10 |  30 | 135 |\n",
       "| header-moved      | NULL | 2020-10-11 |  30 | 166 |\n",
       "| header-moved      | NULL | 2020-10-12 |  23 | 134 |\n",
       "| header-navigation | NULL | 2020-10-12 |   2 |   4 |\n",
       "| header-moved      | NULL | 2020-10-13 |  21 | 100 |\n",
       "| header-navigation | NULL | 2020-10-13 |   2 |  16 |\n",
       "| header-moved      | NULL | 2020-10-14 |  13 |  58 |\n",
       "| header-navigation | NULL | 2020-10-14 |   6 |  33 |\n",
       "| header-moved      | NULL | 2020-10-15 |   5 |  16 |\n",
       "| header-navigation | NULL | 2020-10-15 |  11 |  48 |\n",
       "| header-moved      | NULL | 2020-10-16 |   2 |  12 |\n",
       "| header-navigation | NULL | 2020-10-16 |   9 |  76 |\n",
       "| header-moved      | NULL | 2020-10-17 |   2 |  32 |\n",
       "| header-navigation | NULL | 2020-10-17 |  12 |  59 |\n",
       "| header-moved      | NULL | 2020-10-18 |   3 |  10 |\n",
       "| header-navigation | NULL | 2020-10-18 |  17 |  87 |\n",
       "| header-moved      | NULL | 2020-10-19 |   4 |  18 |\n",
       "| header-navigation | NULL | 2020-10-19 |  11 |  50 |\n",
       "| header-moved      | NULL | 2020-10-20 |   3 |  10 |\n",
       "| header-navigation | NULL | 2020-10-20 |   5 |  16 |\n",
       "| header-navigation | NULL | 2020-10-21 |  13 |  93 |\n",
       "| header-navigation | NULL | 2020-10-22 |  10 |  69 |\n",
       "| header-navigation | NULL | 2020-10-23 |   5 |  16 |\n",
       "| header-moved      | NULL | 2020-10-24 |   1 |   1 |\n",
       "| header-navigation | NULL | 2020-10-24 |   9 |  45 |\n",
       "| header-moved      | NULL | 2020-10-25 |   1 |  10 |\n",
       "| header-navigation | NULL | 2020-10-25 |  12 |  61 |\n",
       "| header-moved      | NULL | 2020-10-26 |   1 |   1 |\n",
       "| header-navigation | NULL | 2020-10-26 |   5 |  24 |\n",
       "\n"
      ],
      "text/plain": [
       "   search_location   vector_version date       num_sessions num_events\n",
       "1  header-navigation NULL           2020-09-23   1            1       \n",
       "2  header-navigation NULL           2020-09-24  23          107       \n",
       "3  header-navigation NULL           2020-09-25 119          630       \n",
       "4  header-navigation NULL           2020-09-26 123          704       \n",
       "5  header-navigation NULL           2020-09-27 104          574       \n",
       "6  header-navigation NULL           2020-09-28 120          624       \n",
       "7  header-navigation NULL           2020-09-29  90          453       \n",
       "8  header-moved      NULL           2020-09-30   5           30       \n",
       "9  header-navigation NULL           2020-09-30  70          352       \n",
       "10 header-moved      NULL           2020-10-01  39          220       \n",
       "11 header-navigation NULL           2020-10-01  40          182       \n",
       "12 header-moved      NULL           2020-10-02  36          169       \n",
       "13 header-navigation NULL           2020-10-02  12           59       \n",
       "14 header-moved      NULL           2020-10-03  43          268       \n",
       "15 header-navigation NULL           2020-10-03   8           36       \n",
       "16 header-moved      NULL           2020-10-04  45          289       \n",
       "17 header-navigation NULL           2020-10-04  10           62       \n",
       "18 header-moved      NULL           2020-10-05  40          190       \n",
       "19 header-navigation NULL           2020-10-05   9           59       \n",
       "20 header-moved      NULL           2020-10-06  51          344       \n",
       "21 header-navigation NULL           2020-10-06   6           33       \n",
       "22 header-moved      NULL           2020-10-07  34          195       \n",
       "23 header-navigation NULL           2020-10-07   3           13       \n",
       "24 header-moved      NULL           2020-10-08  33          169       \n",
       "25 header-navigation NULL           2020-10-08   5           26       \n",
       "26 header-moved      NULL           2020-10-09  27          159       \n",
       "27 header-moved      NULL           2020-10-10  30          135       \n",
       "28 header-moved      NULL           2020-10-11  30          166       \n",
       "29 header-moved      NULL           2020-10-12  23          134       \n",
       "30 header-navigation NULL           2020-10-12   2            4       \n",
       "31 header-moved      NULL           2020-10-13  21          100       \n",
       "32 header-navigation NULL           2020-10-13   2           16       \n",
       "33 header-moved      NULL           2020-10-14  13           58       \n",
       "34 header-navigation NULL           2020-10-14   6           33       \n",
       "35 header-moved      NULL           2020-10-15   5           16       \n",
       "36 header-navigation NULL           2020-10-15  11           48       \n",
       "37 header-moved      NULL           2020-10-16   2           12       \n",
       "38 header-navigation NULL           2020-10-16   9           76       \n",
       "39 header-moved      NULL           2020-10-17   2           32       \n",
       "40 header-navigation NULL           2020-10-17  12           59       \n",
       "41 header-moved      NULL           2020-10-18   3           10       \n",
       "42 header-navigation NULL           2020-10-18  17           87       \n",
       "43 header-moved      NULL           2020-10-19   4           18       \n",
       "44 header-navigation NULL           2020-10-19  11           50       \n",
       "45 header-moved      NULL           2020-10-20   3           10       \n",
       "46 header-navigation NULL           2020-10-20   5           16       \n",
       "47 header-navigation NULL           2020-10-21  13           93       \n",
       "48 header-navigation NULL           2020-10-22  10           69       \n",
       "49 header-navigation NULL           2020-10-23   5           16       \n",
       "50 header-moved      NULL           2020-10-24   1            1       \n",
       "51 header-navigation NULL           2020-10-24   9           45       \n",
       "52 header-moved      NULL           2020-10-25   1           10       \n",
       "53 header-navigation NULL           2020-10-25  12           61       \n",
       "54 header-moved      NULL           2020-10-26   1            1       \n",
       "55 header-navigation NULL           2020-10-26   5           24       "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "daily_search_sessions_null_events <-search_sessions_null %>%\n",
    "    filter(search_location %in% c('header-navigation', 'header-moved')) %>%\n",
    "    group_by(search_location, vector_version, date) %>%\n",
    "    summarise(num_sessions = n_distinct(search_session),\n",
    "             num_events = sum(events))  %>%\n",
    "    arrange(date)\n",
    "\n",
    "daily_search_sessions_null_events"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'date' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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vfvn5mZGRMT07Rp03vvvTdAS1F3Z8+e5e56hw4dEpoTToTPJZZ8LtXQj3hkysqf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\nw4HRoN5/EmL8WUZFTY93dB402WELAHBRFgSEW7duzcvLQwjNnz//4MGDe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i2umsPNhqbdW9Sluk03ZuqzAt9eXs5qQFqbpa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\nEAIAAABAH0VDCAAAAAB91P8AIqpxtY8ldxoAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 600
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot null sessions\n",
    "options(repr.plot.width = 10, repr.plot.height = 7)\n",
    "p <- search_sessions_null %>%\n",
    "# remove content - advanced search page searches\n",
    "    filter(search_location %in% c('header-navigation', 'header-moved'))  %>%\n",
    "    #filter(search_location != 'content') %>%\n",
    "    group_by(date, search_location) %>%\n",
    "    summarise(num_events = sum(events),\n",
    "             num_sessions = n_distinct(search_session)) %>%\n",
    "    ggplot(aes(x=date, y= num_sessions, color = search_location)) +\n",
    "    geom_line(size = 1.5) +\n",
    "    scale_y_continuous() +\n",
    "    labs (y = \"Number of autocomplete search sessions per day\",\n",
    "          x = \"Date\",\n",
    "         title = \"Daily search sessions by search bar location without associated vector skin\")  +\n",
    "     theme_bw() +\n",
    "   theme(\n",
    "        plot.title = element_text(hjust = 0.5),\n",
    "        text = element_text(size=16),\n",
    "        axis.text.x = element_text(angle=45, hjust=1)) \n",
    " \n",
    "p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [],
   "source": [
    "ggsave(\"Figures/daily_null_search_events.png\", p, width = 16, height = 8, units = \"in\", dpi = 300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Search events and sessions recorded as having a NULL vector skin version have been decreasing since deployment. Based on the trend lines show in chart below it looks like these NULL values are related to caching issues as the new instrumentation was deployed.  \n",
    "\n",
    "We're currently only recording less than 12 NULL sessions per day on each wiki and they seem to be decreasing still so I don't think this is an issue. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Search Location Events on Latest Skin by Date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "## collect all latest search header events by location and date\n",
    "query <- \n",
    "\"SELECT\n",
    "    CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')) as date,\n",
    "    event.inputLocation AS search_location,\n",
    "    event.searchSessionId AS search_session,\n",
    "    wiki,\n",
    "    Count(*) as events\n",
    "FROM event.searchSatisfaction \n",
    "-- review a few days prior to check when data started to come in\n",
    "    WHERE year = 2020 AND ((month = 09 and day >= 20) OR month >= 10) \n",
    "-- only deployed on modern skin vector\n",
    "    AND event.skinVersion = 'latest'\n",
    "    AND event.skin = 'vector'\n",
    "    AND useragent.is_bot = false \n",
    "    AND event.action = 'searchResultPage'\n",
    "    AND event.source = 'autocomplete' \n",
    "GROUP BY \n",
    "    CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')),\n",
    "    event.inputLocation,\n",
    "    event.searchSessionId,\n",
    "    wiki\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Don't forget to authenticate with Kerberos using kinit\n",
      "\n"
     ]
    }
   ],
   "source": [
    "search_sessions_daily <-  wmfdata::query_hive(query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [],
   "source": [
    "search_sessions_daily$date <- as.Date(search_sessions_daily$date, format = \"%Y-%m-%d\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'search_location' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A grouped_df: 97 × 4</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>search_location</th><th scope=col>date</th><th scope=col>unique_sessions</th><th scope=col>total_events</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;date&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>header           </td><td>2020-09-20</td><td>118534</td><td> 922751</td></tr>\n",
       "\t<tr><td>header           </td><td>2020-09-21</td><td>143362</td><td>1092926</td></tr>\n",
       "\t<tr><td>header           </td><td>2020-09-22</td><td>140899</td><td>1054336</td></tr>\n",
       "\t<tr><td>header           </td><td>2020-09-23</td><td>141795</td><td>1078461</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>2020-09-23</td><td>   392</td><td>   2904</td></tr>\n",
       "\t<tr><td>header           </td><td>2020-09-24</td><td>120545</td><td> 926857</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>2020-09-24</td><td> 22423</td><td> 144811</td></tr>\n",
       "\t<tr><td>header           </td><td>2020-09-25</td><td> 43904</td><td> 278737</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>2020-09-25</td><td> 96679</td><td> 695054</td></tr>\n",
       "\t<tr><td>header           </td><td>2020-09-26</td><td> 21589</td><td> 129302</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>2020-09-26</td><td> 95391</td><td> 717155</td></tr>\n",
       "\t<tr><td>header           </td><td>2020-09-27</td><td>  9429</td><td>  55990</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>2020-09-27</td><td>119616</td><td> 930422</td></tr>\n",
       "\t<tr><td>header           </td><td>2020-09-28</td><td>  3504</td><td>  21154</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>2020-09-28</td><td>   504</td><td>   2953</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>2020-09-28</td><td>140556</td><td>1062970</td></tr>\n",
       "\t<tr><td>header           </td><td>2020-09-29</td><td>  1986</td><td>  11406</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>2020-09-29</td><td>  1900</td><td>   9595</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>2020-09-29</td><td>137554</td><td>1031666</td></tr>\n",
       "\t<tr><td>header           </td><td>2020-09-30</td><td>   210</td><td>   1119</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>2020-09-30</td><td> 20099</td><td> 141768</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>2020-09-30</td><td>124920</td><td> 922669</td></tr>\n",
       "\t<tr><td>header           </td><td>2020-10-01</td><td>    61</td><td>    268</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>2020-10-01</td><td>118960</td><td> 917933</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>2020-10-01</td><td> 50194</td><td> 309986</td></tr>\n",
       "\t<tr><td>header           </td><td>2020-10-02</td><td>    30</td><td>    139</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>2020-10-02</td><td>122555</td><td> 952519</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>2020-10-02</td><td> 32252</td><td> 186346</td></tr>\n",
       "\t<tr><td>header           </td><td>2020-10-03</td><td>    11</td><td>     54</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>2020-10-03</td><td>114168</td><td> 928295</td></tr>\n",
       "\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
       "\t<tr><td>header           </td><td>2020-10-16</td><td>     6</td><td>     57</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>2020-10-16</td><td>146000</td><td>1189450</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>2020-10-16</td><td>  1836</td><td>   9199</td></tr>\n",
       "\t<tr><td>header           </td><td>2020-10-17</td><td>     3</td><td>     12</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>2020-10-17</td><td>117510</td><td> 931602</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>2020-10-17</td><td>  1933</td><td>   9416</td></tr>\n",
       "\t<tr><td>header           </td><td>2020-10-18</td><td>     2</td><td>     10</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>2020-10-18</td><td>139435</td><td>1125455</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>2020-10-18</td><td>  2028</td><td>  11159</td></tr>\n",
       "\t<tr><td>header           </td><td>2020-10-19</td><td>     5</td><td>     25</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>2020-10-19</td><td>166965</td><td>1300230</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>2020-10-19</td><td>  2078</td><td>   9639</td></tr>\n",
       "\t<tr><td>header           </td><td>2020-10-20</td><td>     4</td><td>     12</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>2020-10-20</td><td>167227</td><td>1312794</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>2020-10-20</td><td>  2154</td><td>  11209</td></tr>\n",
       "\t<tr><td>header           </td><td>2020-10-21</td><td>     4</td><td>     22</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>2020-10-21</td><td>164099</td><td>1286373</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>2020-10-21</td><td>  2199</td><td>  11460</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>2020-10-22</td><td>160020</td><td>1243858</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>2020-10-22</td><td>  2142</td><td>  10851</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>2020-10-23</td><td>147414</td><td>1169522</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>2020-10-23</td><td>  2037</td><td>  11021</td></tr>\n",
       "\t<tr><td>header           </td><td>2020-10-24</td><td>     1</td><td>      8</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>2020-10-24</td><td>127152</td><td>1032914</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>2020-10-24</td><td>  2063</td><td>  10339</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>2020-10-25</td><td>145663</td><td>1166658</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>2020-10-25</td><td>  2206</td><td>  11965</td></tr>\n",
       "\t<tr><td>header           </td><td>2020-10-26</td><td>     3</td><td>      7</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>2020-10-26</td><td> 80299</td><td> 615795</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>2020-10-26</td><td>  1044</td><td>   5784</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A grouped\\_df: 97 × 4\n",
       "\\begin{tabular}{llll}\n",
       " search\\_location & date & unique\\_sessions & total\\_events\\\\\n",
       " <chr> & <date> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t header            & 2020-09-20 & 118534 &  922751\\\\\n",
       "\t header            & 2020-09-21 & 143362 & 1092926\\\\\n",
       "\t header            & 2020-09-22 & 140899 & 1054336\\\\\n",
       "\t header            & 2020-09-23 & 141795 & 1078461\\\\\n",
       "\t header-navigation & 2020-09-23 &    392 &    2904\\\\\n",
       "\t header            & 2020-09-24 & 120545 &  926857\\\\\n",
       "\t header-navigation & 2020-09-24 &  22423 &  144811\\\\\n",
       "\t header            & 2020-09-25 &  43904 &  278737\\\\\n",
       "\t header-navigation & 2020-09-25 &  96679 &  695054\\\\\n",
       "\t header            & 2020-09-26 &  21589 &  129302\\\\\n",
       "\t header-navigation & 2020-09-26 &  95391 &  717155\\\\\n",
       "\t header            & 2020-09-27 &   9429 &   55990\\\\\n",
       "\t header-navigation & 2020-09-27 & 119616 &  930422\\\\\n",
       "\t header            & 2020-09-28 &   3504 &   21154\\\\\n",
       "\t header-moved      & 2020-09-28 &    504 &    2953\\\\\n",
       "\t header-navigation & 2020-09-28 & 140556 & 1062970\\\\\n",
       "\t header            & 2020-09-29 &   1986 &   11406\\\\\n",
       "\t header-moved      & 2020-09-29 &   1900 &    9595\\\\\n",
       "\t header-navigation & 2020-09-29 & 137554 & 1031666\\\\\n",
       "\t header            & 2020-09-30 &    210 &    1119\\\\\n",
       "\t header-moved      & 2020-09-30 &  20099 &  141768\\\\\n",
       "\t header-navigation & 2020-09-30 & 124920 &  922669\\\\\n",
       "\t header            & 2020-10-01 &     61 &     268\\\\\n",
       "\t header-moved      & 2020-10-01 & 118960 &  917933\\\\\n",
       "\t header-navigation & 2020-10-01 &  50194 &  309986\\\\\n",
       "\t header            & 2020-10-02 &     30 &     139\\\\\n",
       "\t header-moved      & 2020-10-02 & 122555 &  952519\\\\\n",
       "\t header-navigation & 2020-10-02 &  32252 &  186346\\\\\n",
       "\t header            & 2020-10-03 &     11 &      54\\\\\n",
       "\t header-moved      & 2020-10-03 & 114168 &  928295\\\\\n",
       "\t ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
       "\t header            & 2020-10-16 &      6 &      57\\\\\n",
       "\t header-moved      & 2020-10-16 & 146000 & 1189450\\\\\n",
       "\t header-navigation & 2020-10-16 &   1836 &    9199\\\\\n",
       "\t header            & 2020-10-17 &      3 &      12\\\\\n",
       "\t header-moved      & 2020-10-17 & 117510 &  931602\\\\\n",
       "\t header-navigation & 2020-10-17 &   1933 &    9416\\\\\n",
       "\t header            & 2020-10-18 &      2 &      10\\\\\n",
       "\t header-moved      & 2020-10-18 & 139435 & 1125455\\\\\n",
       "\t header-navigation & 2020-10-18 &   2028 &   11159\\\\\n",
       "\t header            & 2020-10-19 &      5 &      25\\\\\n",
       "\t header-moved      & 2020-10-19 & 166965 & 1300230\\\\\n",
       "\t header-navigation & 2020-10-19 &   2078 &    9639\\\\\n",
       "\t header            & 2020-10-20 &      4 &      12\\\\\n",
       "\t header-moved      & 2020-10-20 & 167227 & 1312794\\\\\n",
       "\t header-navigation & 2020-10-20 &   2154 &   11209\\\\\n",
       "\t header            & 2020-10-21 &      4 &      22\\\\\n",
       "\t header-moved      & 2020-10-21 & 164099 & 1286373\\\\\n",
       "\t header-navigation & 2020-10-21 &   2199 &   11460\\\\\n",
       "\t header-moved      & 2020-10-22 & 160020 & 1243858\\\\\n",
       "\t header-navigation & 2020-10-22 &   2142 &   10851\\\\\n",
       "\t header-moved      & 2020-10-23 & 147414 & 1169522\\\\\n",
       "\t header-navigation & 2020-10-23 &   2037 &   11021\\\\\n",
       "\t header            & 2020-10-24 &      1 &       8\\\\\n",
       "\t header-moved      & 2020-10-24 & 127152 & 1032914\\\\\n",
       "\t header-navigation & 2020-10-24 &   2063 &   10339\\\\\n",
       "\t header-moved      & 2020-10-25 & 145663 & 1166658\\\\\n",
       "\t header-navigation & 2020-10-25 &   2206 &   11965\\\\\n",
       "\t header            & 2020-10-26 &      3 &       7\\\\\n",
       "\t header-moved      & 2020-10-26 &  80299 &  615795\\\\\n",
       "\t header-navigation & 2020-10-26 &   1044 &    5784\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A grouped_df: 97 × 4\n",
       "\n",
       "| search_location &lt;chr&gt; | date &lt;date&gt; | unique_sessions &lt;int&gt; | total_events &lt;int&gt; |\n",
       "|---|---|---|---|\n",
       "| header            | 2020-09-20 | 118534 |  922751 |\n",
       "| header            | 2020-09-21 | 143362 | 1092926 |\n",
       "| header            | 2020-09-22 | 140899 | 1054336 |\n",
       "| header            | 2020-09-23 | 141795 | 1078461 |\n",
       "| header-navigation | 2020-09-23 |    392 |    2904 |\n",
       "| header            | 2020-09-24 | 120545 |  926857 |\n",
       "| header-navigation | 2020-09-24 |  22423 |  144811 |\n",
       "| header            | 2020-09-25 |  43904 |  278737 |\n",
       "| header-navigation | 2020-09-25 |  96679 |  695054 |\n",
       "| header            | 2020-09-26 |  21589 |  129302 |\n",
       "| header-navigation | 2020-09-26 |  95391 |  717155 |\n",
       "| header            | 2020-09-27 |   9429 |   55990 |\n",
       "| header-navigation | 2020-09-27 | 119616 |  930422 |\n",
       "| header            | 2020-09-28 |   3504 |   21154 |\n",
       "| header-moved      | 2020-09-28 |    504 |    2953 |\n",
       "| header-navigation | 2020-09-28 | 140556 | 1062970 |\n",
       "| header            | 2020-09-29 |   1986 |   11406 |\n",
       "| header-moved      | 2020-09-29 |   1900 |    9595 |\n",
       "| header-navigation | 2020-09-29 | 137554 | 1031666 |\n",
       "| header            | 2020-09-30 |    210 |    1119 |\n",
       "| header-moved      | 2020-09-30 |  20099 |  141768 |\n",
       "| header-navigation | 2020-09-30 | 124920 |  922669 |\n",
       "| header            | 2020-10-01 |     61 |     268 |\n",
       "| header-moved      | 2020-10-01 | 118960 |  917933 |\n",
       "| header-navigation | 2020-10-01 |  50194 |  309986 |\n",
       "| header            | 2020-10-02 |     30 |     139 |\n",
       "| header-moved      | 2020-10-02 | 122555 |  952519 |\n",
       "| header-navigation | 2020-10-02 |  32252 |  186346 |\n",
       "| header            | 2020-10-03 |     11 |      54 |\n",
       "| header-moved      | 2020-10-03 | 114168 |  928295 |\n",
       "| ⋮ | ⋮ | ⋮ | ⋮ |\n",
       "| header            | 2020-10-16 |      6 |      57 |\n",
       "| header-moved      | 2020-10-16 | 146000 | 1189450 |\n",
       "| header-navigation | 2020-10-16 |   1836 |    9199 |\n",
       "| header            | 2020-10-17 |      3 |      12 |\n",
       "| header-moved      | 2020-10-17 | 117510 |  931602 |\n",
       "| header-navigation | 2020-10-17 |   1933 |    9416 |\n",
       "| header            | 2020-10-18 |      2 |      10 |\n",
       "| header-moved      | 2020-10-18 | 139435 | 1125455 |\n",
       "| header-navigation | 2020-10-18 |   2028 |   11159 |\n",
       "| header            | 2020-10-19 |      5 |      25 |\n",
       "| header-moved      | 2020-10-19 | 166965 | 1300230 |\n",
       "| header-navigation | 2020-10-19 |   2078 |    9639 |\n",
       "| header            | 2020-10-20 |      4 |      12 |\n",
       "| header-moved      | 2020-10-20 | 167227 | 1312794 |\n",
       "| header-navigation | 2020-10-20 |   2154 |   11209 |\n",
       "| header            | 2020-10-21 |      4 |      22 |\n",
       "| header-moved      | 2020-10-21 | 164099 | 1286373 |\n",
       "| header-navigation | 2020-10-21 |   2199 |   11460 |\n",
       "| header-moved      | 2020-10-22 | 160020 | 1243858 |\n",
       "| header-navigation | 2020-10-22 |   2142 |   10851 |\n",
       "| header-moved      | 2020-10-23 | 147414 | 1169522 |\n",
       "| header-navigation | 2020-10-23 |   2037 |   11021 |\n",
       "| header            | 2020-10-24 |      1 |       8 |\n",
       "| header-moved      | 2020-10-24 | 127152 | 1032914 |\n",
       "| header-navigation | 2020-10-24 |   2063 |   10339 |\n",
       "| header-moved      | 2020-10-25 | 145663 | 1166658 |\n",
       "| header-navigation | 2020-10-25 |   2206 |   11965 |\n",
       "| header            | 2020-10-26 |      3 |       7 |\n",
       "| header-moved      | 2020-10-26 |  80299 |  615795 |\n",
       "| header-navigation | 2020-10-26 |   1044 |    5784 |\n",
       "\n"
      ],
      "text/plain": [
       "   search_location   date       unique_sessions total_events\n",
       "1  header            2020-09-20 118534           922751     \n",
       "2  header            2020-09-21 143362          1092926     \n",
       "3  header            2020-09-22 140899          1054336     \n",
       "4  header            2020-09-23 141795          1078461     \n",
       "5  header-navigation 2020-09-23    392             2904     \n",
       "6  header            2020-09-24 120545           926857     \n",
       "7  header-navigation 2020-09-24  22423           144811     \n",
       "8  header            2020-09-25  43904           278737     \n",
       "9  header-navigation 2020-09-25  96679           695054     \n",
       "10 header            2020-09-26  21589           129302     \n",
       "11 header-navigation 2020-09-26  95391           717155     \n",
       "12 header            2020-09-27   9429            55990     \n",
       "13 header-navigation 2020-09-27 119616           930422     \n",
       "14 header            2020-09-28   3504            21154     \n",
       "15 header-moved      2020-09-28    504             2953     \n",
       "16 header-navigation 2020-09-28 140556          1062970     \n",
       "17 header            2020-09-29   1986            11406     \n",
       "18 header-moved      2020-09-29   1900             9595     \n",
       "19 header-navigation 2020-09-29 137554          1031666     \n",
       "20 header            2020-09-30    210             1119     \n",
       "21 header-moved      2020-09-30  20099           141768     \n",
       "22 header-navigation 2020-09-30 124920           922669     \n",
       "23 header            2020-10-01     61              268     \n",
       "24 header-moved      2020-10-01 118960           917933     \n",
       "25 header-navigation 2020-10-01  50194           309986     \n",
       "26 header            2020-10-02     30              139     \n",
       "27 header-moved      2020-10-02 122555           952519     \n",
       "28 header-navigation 2020-10-02  32252           186346     \n",
       "29 header            2020-10-03     11               54     \n",
       "30 header-moved      2020-10-03 114168           928295     \n",
       "⋮  ⋮                 ⋮          ⋮               ⋮           \n",
       "68 header            2020-10-16      6               57     \n",
       "69 header-moved      2020-10-16 146000          1189450     \n",
       "70 header-navigation 2020-10-16   1836             9199     \n",
       "71 header            2020-10-17      3               12     \n",
       "72 header-moved      2020-10-17 117510           931602     \n",
       "73 header-navigation 2020-10-17   1933             9416     \n",
       "74 header            2020-10-18      2               10     \n",
       "75 header-moved      2020-10-18 139435          1125455     \n",
       "76 header-navigation 2020-10-18   2028            11159     \n",
       "77 header            2020-10-19      5               25     \n",
       "78 header-moved      2020-10-19 166965          1300230     \n",
       "79 header-navigation 2020-10-19   2078             9639     \n",
       "80 header            2020-10-20      4               12     \n",
       "81 header-moved      2020-10-20 167227          1312794     \n",
       "82 header-navigation 2020-10-20   2154            11209     \n",
       "83 header            2020-10-21      4               22     \n",
       "84 header-moved      2020-10-21 164099          1286373     \n",
       "85 header-navigation 2020-10-21   2199            11460     \n",
       "86 header-moved      2020-10-22 160020          1243858     \n",
       "87 header-navigation 2020-10-22   2142            10851     \n",
       "88 header-moved      2020-10-23 147414          1169522     \n",
       "89 header-navigation 2020-10-23   2037            11021     \n",
       "90 header            2020-10-24      1                8     \n",
       "91 header-moved      2020-10-24 127152          1032914     \n",
       "92 header-navigation 2020-10-24   2063            10339     \n",
       "93 header-moved      2020-10-25 145663          1166658     \n",
       "94 header-navigation 2020-10-25   2206            11965     \n",
       "95 header            2020-10-26      3                7     \n",
       "96 header-moved      2020-10-26  80299           615795     \n",
       "97 header-navigation 2020-10-26   1044             5784     "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "daily_search_sessions <-search_sessions_daily %>%\n",
    "#remove content- advanced page events\n",
    "    filter(search_location != 'content'\n",
    "# review events after bug fix to address header-moved events on legacy\n",
    "          )  %>%\n",
    "    group_by(search_location, date) %>%\n",
    "    summarise(unique_sessions = n_distinct(search_session),\n",
    "             total_events = sum(events))  %>%\n",
    "    arrange(date)\n",
    "daily_search_sessions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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8BWM7TkLYyjc2QOzHVzC2GBOW0sI7hl3y9f1fMSchALgmixNCvV6/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Ax6MLsF40VArVOUlyrXDlVJfogJBKDwIe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\nhvriiy/Gjx9vYmKSlpYWHx9PCJkzZ46VlRXTJXMLAmK5K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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 600
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p <-daily_search_sessions %>%\n",
    "    ggplot(aes(x=date, y= unique_sessions, color = search_location)) +\n",
    "    geom_line(size = 1.5) +\n",
    "    scale_y_continuous() +\n",
    "    labs (y = \"Number of autocomplete search sessions per day\",\n",
    "          x = \"Date\",\n",
    "         title = \"Daily search sessions by search bar location on latest vector skin\")  +\n",
    "     theme_bw() +\n",
    "   theme(\n",
    "        plot.title = element_text(hjust = 0.5),\n",
    "        text = element_text(size=16),\n",
    "        axis.text.x = element_text(angle=45, hjust=1)) \n",
    " \n",
    "p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ggsave(\"Figures/daily_latest_search_events.png\", p, width = 16, height = 8, units = \"in\", dpi = 300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The \"header\" location events are how the original search bar events were recorded prior to the instrumentation - these are events are dropping off as expected since it was replced by \"header-navigation\" events.\n",
    "\n",
    "Header-moved(new search location) events start recording on the deployment date 28 September.  Following deployment, there is a signficant drop-off of header-navigation events on the latest vector skin. The decrease seems signficant but a decrease was expected since the new header was deployed as opt-out for all logged out users on early adopter wikis and 50% of logged in users.  An additional check of logged in vesus logged out users will help clarify."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Review Search Location Events on All Skin Types By Action and Source Type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'search_location', 'action_type' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A grouped_df: 2 × 4</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>search_location</th><th scope=col>action_type</th><th scope=col>source_type</th><th scope=col>events</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>header-moved     </td><td>searchResultPage</td><td>autocomplete</td><td>256259728</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>searchResultPage</td><td>autocomplete</td><td>276620657</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A grouped\\_df: 2 × 4\n",
       "\\begin{tabular}{llll}\n",
       " search\\_location & action\\_type & source\\_type & events\\\\\n",
       " <chr> & <chr> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\t header-moved      & searchResultPage & autocomplete & 256259728\\\\\n",
       "\t header-navigation & searchResultPage & autocomplete & 276620657\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A grouped_df: 2 × 4\n",
       "\n",
       "| search_location &lt;chr&gt; | action_type &lt;chr&gt; | source_type &lt;chr&gt; | events &lt;int&gt; |\n",
       "|---|---|---|---|\n",
       "| header-moved      | searchResultPage | autocomplete | 256259728 |\n",
       "| header-navigation | searchResultPage | autocomplete | 276620657 |\n",
       "\n"
      ],
      "text/plain": [
       "  search_location   action_type      source_type  events   \n",
       "1 header-moved      searchResultPage autocomplete 256259728\n",
       "2 header-navigation searchResultPage autocomplete 276620657"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "action_type_check <- search_sessions %>%\n",
    "    filter(search_location %in% c('header-navigation', 'header-moved')) %>%\n",
    "    group_by(search_location, action_type, source_type) %>%\n",
    "    summarise(events = sum(events))\n",
    "\n",
    "action_type_check"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "PASSED:\n",
    "\n",
    "The header-moved and header-navigation events are only recorded with action=`SearchResultPage` and `source='autocomplete'` events as expected."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Review Search Location Events by Wiki"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'search_location' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A grouped_df: 12 × 4</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>search_location</th><th scope=col>wiki</th><th scope=col>events</th><th scope=col>sessions</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>header-moved     </td><td>euwiki       </td><td>  325172</td><td>  34312</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>euwiki       </td><td>   42852</td><td>   5415</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>fawiki       </td><td> 1199768</td><td> 158652</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>fawiki       </td><td>  158559</td><td>  24731</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>frwiki       </td><td>27472480</td><td>3317233</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>frwiki       </td><td> 3713332</td><td> 526448</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>frwiktionary </td><td> 1480194</td><td> 212714</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>frwiktionary </td><td>  209442</td><td>  37002</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>hewiki       </td><td>  156401</td><td>  92817</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>hewiki       </td><td>   27082</td><td>  15833</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>ptwikiversity</td><td>    2672</td><td>    420</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>ptwikiversity</td><td>     378</td><td>     85</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A grouped\\_df: 12 × 4\n",
       "\\begin{tabular}{llll}\n",
       " search\\_location & wiki & events & sessions\\\\\n",
       " <chr> & <chr> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t header-moved      & euwiki        &   325172 &   34312\\\\\n",
       "\t header-navigation & euwiki        &    42852 &    5415\\\\\n",
       "\t header-moved      & fawiki        &  1199768 &  158652\\\\\n",
       "\t header-navigation & fawiki        &   158559 &   24731\\\\\n",
       "\t header-moved      & frwiki        & 27472480 & 3317233\\\\\n",
       "\t header-navigation & frwiki        &  3713332 &  526448\\\\\n",
       "\t header-moved      & frwiktionary  &  1480194 &  212714\\\\\n",
       "\t header-navigation & frwiktionary  &   209442 &   37002\\\\\n",
       "\t header-moved      & hewiki        &   156401 &   92817\\\\\n",
       "\t header-navigation & hewiki        &    27082 &   15833\\\\\n",
       "\t header-moved      & ptwikiversity &     2672 &     420\\\\\n",
       "\t header-navigation & ptwikiversity &      378 &      85\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A grouped_df: 12 × 4\n",
       "\n",
       "| search_location &lt;chr&gt; | wiki &lt;chr&gt; | events &lt;int&gt; | sessions &lt;int&gt; |\n",
       "|---|---|---|---|\n",
       "| header-moved      | euwiki        |   325172 |   34312 |\n",
       "| header-navigation | euwiki        |    42852 |    5415 |\n",
       "| header-moved      | fawiki        |  1199768 |  158652 |\n",
       "| header-navigation | fawiki        |   158559 |   24731 |\n",
       "| header-moved      | frwiki        | 27472480 | 3317233 |\n",
       "| header-navigation | frwiki        |  3713332 |  526448 |\n",
       "| header-moved      | frwiktionary  |  1480194 |  212714 |\n",
       "| header-navigation | frwiktionary  |   209442 |   37002 |\n",
       "| header-moved      | hewiki        |   156401 |   92817 |\n",
       "| header-navigation | hewiki        |    27082 |   15833 |\n",
       "| header-moved      | ptwikiversity |     2672 |     420 |\n",
       "| header-navigation | ptwikiversity |      378 |      85 |\n",
       "\n"
      ],
      "text/plain": [
       "   search_location   wiki          events   sessions\n",
       "1  header-moved      euwiki          325172   34312 \n",
       "2  header-navigation euwiki           42852    5415 \n",
       "3  header-moved      fawiki         1199768  158652 \n",
       "4  header-navigation fawiki          158559   24731 \n",
       "5  header-moved      frwiki        27472480 3317233 \n",
       "6  header-navigation frwiki         3713332  526448 \n",
       "7  header-moved      frwiktionary   1480194  212714 \n",
       "8  header-navigation frwiktionary    209442   37002 \n",
       "9  header-moved      hewiki          156401   92817 \n",
       "10 header-navigation hewiki           27082   15833 \n",
       "11 header-moved      ptwikiversity     2672     420 \n",
       "12 header-navigation ptwikiversity      378      85 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "test_wiki_counts <- search_sessions %>%\n",
    "    filter(search_location %in% c('header-navigation', 'header-moved'),\n",
    "    ## review test wikis where deployed\n",
    "     wiki %in% c('euwiki', 'frwiki', 'hewiki', 'ptwikiversity', 'frwiktionary', 'fawiki')) %>%\n",
    "    group_by(search_location, wiki) %>%\n",
    "    summarise(events = sum(events),\n",
    "             sessions = n_distinct(search_session))  %>%\n",
    "    arrange(wiki)\n",
    "\n",
    "test_wiki_counts \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'search_location' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A grouped_df: 10 × 4</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>search_location</th><th scope=col>wiki</th><th scope=col>events</th><th scope=col>sessions</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>header-moved     </td><td>dewiki</td><td> 28332468</td><td> 3958386</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>dewiki</td><td> 31971809</td><td> 4523118</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>enwiki</td><td>132251938</td><td>18201935</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>enwiki</td><td>163202407</td><td>22462494</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>eswiki</td><td> 12229252</td><td> 1613443</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>eswiki</td><td> 13987626</td><td> 1815518</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>ruwiki</td><td> 11748048</td><td> 1789305</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>ruwiki</td><td> 13711217</td><td> 2070640</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>zhwiki</td><td>   693042</td><td>  301380</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>zhwiki</td><td>   856770</td><td>  370056</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A grouped\\_df: 10 × 4\n",
       "\\begin{tabular}{llll}\n",
       " search\\_location & wiki & events & sessions\\\\\n",
       " <chr> & <chr> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t header-moved      & dewiki &  28332468 &  3958386\\\\\n",
       "\t header-navigation & dewiki &  31971809 &  4523118\\\\\n",
       "\t header-moved      & enwiki & 132251938 & 18201935\\\\\n",
       "\t header-navigation & enwiki & 163202407 & 22462494\\\\\n",
       "\t header-moved      & eswiki &  12229252 &  1613443\\\\\n",
       "\t header-navigation & eswiki &  13987626 &  1815518\\\\\n",
       "\t header-moved      & ruwiki &  11748048 &  1789305\\\\\n",
       "\t header-navigation & ruwiki &  13711217 &  2070640\\\\\n",
       "\t header-moved      & zhwiki &    693042 &   301380\\\\\n",
       "\t header-navigation & zhwiki &    856770 &   370056\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A grouped_df: 10 × 4\n",
       "\n",
       "| search_location &lt;chr&gt; | wiki &lt;chr&gt; | events &lt;int&gt; | sessions &lt;int&gt; |\n",
       "|---|---|---|---|\n",
       "| header-moved      | dewiki |  28332468 |  3958386 |\n",
       "| header-navigation | dewiki |  31971809 |  4523118 |\n",
       "| header-moved      | enwiki | 132251938 | 18201935 |\n",
       "| header-navigation | enwiki | 163202407 | 22462494 |\n",
       "| header-moved      | eswiki |  12229252 |  1613443 |\n",
       "| header-navigation | eswiki |  13987626 |  1815518 |\n",
       "| header-moved      | ruwiki |  11748048 |  1789305 |\n",
       "| header-navigation | ruwiki |  13711217 |  2070640 |\n",
       "| header-moved      | zhwiki |    693042 |   301380 |\n",
       "| header-navigation | zhwiki |    856770 |   370056 |\n",
       "\n"
      ],
      "text/plain": [
       "   search_location   wiki   events    sessions\n",
       "1  header-moved      dewiki  28332468  3958386\n",
       "2  header-navigation dewiki  31971809  4523118\n",
       "3  header-moved      enwiki 132251938 18201935\n",
       "4  header-navigation enwiki 163202407 22462494\n",
       "5  header-moved      eswiki  12229252  1613443\n",
       "6  header-navigation eswiki  13987626  1815518\n",
       "7  header-moved      ruwiki  11748048  1789305\n",
       "8  header-navigation ruwiki  13711217  2070640\n",
       "9  header-moved      zhwiki    693042   301380\n",
       "10 header-navigation zhwiki    856770   370056"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Review non test wikis to see what the difference is\n",
    "\n",
    "nontest_wiki_counts <- search_sessions %>%\n",
    "    filter(search_location %in% c('header-navigation', 'header-moved'),\n",
    "    ## review some non-test wikis where deployed\n",
    "     wiki %in% c('enwiki', 'eswiki', 'ruwiki', 'zhwiki', 'dewiki')) %>%\n",
    "    group_by(search_location, wiki) %>%\n",
    "    summarise(events = sum(events),\n",
    "             sessions = n_distinct(search_session))  %>%\n",
    "    arrange(wiki)\n",
    "\n",
    "nontest_wiki_counts "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "PASSED\n",
    "\n",
    "On test wikis, there are 4 to 5% more header-moved events than header-navigation events across both skin types. This difference is expected as on the test wikis the new header was also show as default 50% of all logged-in users and by default to all anonymous users. \n",
    "\n",
    "On a sample of non-partner wikis, there are more header-navigation events and sessions compared to header-moved events. This is also expected as the new location is available as preference on these non-partner wikis. Note: This difference should be even higher but there was an issue in pre 13 October 2020 data of incorrectly logging header-moved events on legacy skin.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Search Sessions by Logged in and Logged out Users"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The isAnon field was added on 20 October 2020 to distinguish logged in and logged out users. I'll review events since deployment to confirm they are being recorded as expected.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [],
   "source": [
    "## collect all search header events by location\n",
    "# Check number of events for each to see if roughly even or number of sessions?\n",
    "query <- \n",
    "\"SELECT\n",
    "    CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')) as date,\n",
    "    event.skinVersion AS vector_version,\n",
    "    event.skin AS skin_type,\n",
    "    event.inputLocation AS search_location,\n",
    "    event.isAnon AS is_anonymous,\n",
    "    event.searchSessionId AS search_session,\n",
    "    wiki,\n",
    "    Count(*) as events\n",
    "FROM event.searchSatisfaction \n",
    "-- review a few days prior to check when data started to come in\n",
    "    WHERE year = 2020 AND ((month = 10 and day >= 18)) \n",
    "-- review autocomlete actions\n",
    "    AND event.action = 'searchResultPage'\n",
    "    AND event.source = 'autocomplete'\n",
    "-- remove bots\n",
    "    -- remove bots\n",
    "    AND useragent.is_bot = false \n",
    "GROUP BY \n",
    "    CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')),\n",
    "    event.skinVersion,\n",
    "    event.skin,\n",
    "    event.inputLocation,\n",
    "    event.isAnon,\n",
    "    event.searchSessionId,\n",
    "    wiki\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Don't forget to authenticate with Kerberos using kinit\n",
      "\n"
     ]
    }
   ],
   "source": [
    "search_sessions_byanon <-  wmfdata::query_hive(query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [],
   "source": [
    "search_sessions_byanon$date <- as.Date(search_sessions_byanon$date, format = \"%Y-%m-%d\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [],
   "source": [
    "# rename is anon column to clarify logged in status\n",
    "\n",
    "search_sessions_byanon_clean <- search_sessions_byanon %>%\n",
    " mutate(logged_in_status = case_when(\n",
    "        is_anonymous == 'NULL' ~ \"NULL\",\n",
    "        is_anonymous == 'false'~ \"logged-in\",\n",
    "        is_anonymous == 'true' ~ \"logged-out\"))\n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Confirm when logged in events start coming in"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'date', 'search_location' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A grouped_df: 10 × 5</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>date</th><th scope=col>search_location</th><th scope=col>logged_in_status</th><th scope=col>num_events</th><th scope=col>num_sessions</th></tr>\n",
       "\t<tr><th scope=col>&lt;date&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>2020-10-20</td><td>header-moved     </td><td>logged-in </td><td>  10488</td><td>  1819</td></tr>\n",
       "\t<tr><td>2020-10-20</td><td>header-moved     </td><td>logged-out</td><td> 842856</td><td>104794</td></tr>\n",
       "\t<tr><td>2020-10-20</td><td>header-navigation</td><td>logged-in </td><td>   7561</td><td>  1383</td></tr>\n",
       "\t<tr><td>2020-10-20</td><td>header-navigation</td><td>logged-out</td><td>      6</td><td>     2</td></tr>\n",
       "\t<tr><td>2020-10-21</td><td>header-moved     </td><td>logged-in </td><td>  13966</td><td>  2790</td></tr>\n",
       "\t<tr><td>2020-10-21</td><td>header-moved     </td><td>logged-out</td><td>1268413</td><td>160707</td></tr>\n",
       "\t<tr><td>2020-10-21</td><td>header-navigation</td><td>logged-in </td><td>  11430</td><td>  2191</td></tr>\n",
       "\t<tr><td>2020-10-21</td><td>header-navigation</td><td>logged-out</td><td>      3</td><td>     1</td></tr>\n",
       "\t<tr><td>2020-10-22</td><td>header-moved     </td><td>logged-in </td><td>  13864</td><td>  2693</td></tr>\n",
       "\t<tr><td>2020-10-22</td><td>header-moved     </td><td>logged-out</td><td>1228378</td><td>157102</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A grouped\\_df: 10 × 5\n",
       "\\begin{tabular}{lllll}\n",
       " date & search\\_location & logged\\_in\\_status & num\\_events & num\\_sessions\\\\\n",
       " <date> & <chr> & <chr> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t 2020-10-20 & header-moved      & logged-in  &   10488 &   1819\\\\\n",
       "\t 2020-10-20 & header-moved      & logged-out &  842856 & 104794\\\\\n",
       "\t 2020-10-20 & header-navigation & logged-in  &    7561 &   1383\\\\\n",
       "\t 2020-10-20 & header-navigation & logged-out &       6 &      2\\\\\n",
       "\t 2020-10-21 & header-moved      & logged-in  &   13966 &   2790\\\\\n",
       "\t 2020-10-21 & header-moved      & logged-out & 1268413 & 160707\\\\\n",
       "\t 2020-10-21 & header-navigation & logged-in  &   11430 &   2191\\\\\n",
       "\t 2020-10-21 & header-navigation & logged-out &       3 &      1\\\\\n",
       "\t 2020-10-22 & header-moved      & logged-in  &   13864 &   2693\\\\\n",
       "\t 2020-10-22 & header-moved      & logged-out & 1228378 & 157102\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A grouped_df: 10 × 5\n",
       "\n",
       "| date &lt;date&gt; | search_location &lt;chr&gt; | logged_in_status &lt;chr&gt; | num_events &lt;int&gt; | num_sessions &lt;int&gt; |\n",
       "|---|---|---|---|---|\n",
       "| 2020-10-20 | header-moved      | logged-in  |   10488 |   1819 |\n",
       "| 2020-10-20 | header-moved      | logged-out |  842856 | 104794 |\n",
       "| 2020-10-20 | header-navigation | logged-in  |    7561 |   1383 |\n",
       "| 2020-10-20 | header-navigation | logged-out |       6 |      2 |\n",
       "| 2020-10-21 | header-moved      | logged-in  |   13966 |   2790 |\n",
       "| 2020-10-21 | header-moved      | logged-out | 1268413 | 160707 |\n",
       "| 2020-10-21 | header-navigation | logged-in  |   11430 |   2191 |\n",
       "| 2020-10-21 | header-navigation | logged-out |       3 |      1 |\n",
       "| 2020-10-22 | header-moved      | logged-in  |   13864 |   2693 |\n",
       "| 2020-10-22 | header-moved      | logged-out | 1228378 | 157102 |\n",
       "\n"
      ],
      "text/plain": [
       "   date       search_location   logged_in_status num_events num_sessions\n",
       "1  2020-10-20 header-moved      logged-in          10488      1819      \n",
       "2  2020-10-20 header-moved      logged-out        842856    104794      \n",
       "3  2020-10-20 header-navigation logged-in           7561      1383      \n",
       "4  2020-10-20 header-navigation logged-out             6         2      \n",
       "5  2020-10-21 header-moved      logged-in          13966      2790      \n",
       "6  2020-10-21 header-moved      logged-out       1268413    160707      \n",
       "7  2020-10-21 header-navigation logged-in          11430      2191      \n",
       "8  2020-10-21 header-navigation logged-out             3         1      \n",
       "9  2020-10-22 header-moved      logged-in          13864      2693      \n",
       "10 2020-10-22 header-moved      logged-out       1228378    157102      "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "search_sessions_daily_byanon <- search_sessions_byanon_clean %>%\n",
    "    filter(is_anonymous != 'NULL',\n",
    "          skin_type == 'vector',\n",
    "          vector_version == 'latest',\n",
    "          search_location %in% c('header-moved', 'header-navigation'))  %>%\n",
    "    group_by(date, search_location, logged_in_status) %>%\n",
    "    summarise(num_events = sum(events),\n",
    "              num_sessions = n_distinct(search_session)) %>%\n",
    "    arrange(date)\n",
    "\n",
    "head(search_sessions_daily_byanon, 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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JK4SG5pS3v0aNZBMekc9+Wr9fCiGEFhep1n2i3r6ZVFc7IxhwMPXu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\nuuaj5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NLBICAIBUpqDK6JgxY4QQVqv1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\nyuDNnLie51AwjbHhrQhA/ygqoxlJktatW/f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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 600
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot logged in and logged out events by search location\n",
    "options(repr.plot.width = 10, repr.plot.height = 7)\n",
    "p <-search_sessions_daily_byanon %>%\n",
    "    ggplot(aes(x=date, y= num_sessions, color = search_location)) +\n",
    "    geom_line(size = 1.5) +\n",
    "    scale_y_continuous() +\n",
    "    facet_wrap(~logged_in_status, scales = \"free_y\") +\n",
    "    labs (y = \"Number of autocomplete search sessions per day\",\n",
    "          x = \"Date\",\n",
    "         title = \"Daily search sessions by search bar location on latest vector skin\")  +\n",
    "     theme_bw() +\n",
    "   theme(\n",
    "        plot.title = element_text(hjust = 0.5),\n",
    "        text = element_text(size=16),\n",
    "        axis.text.x = element_text(angle=45, hjust=1)) \n",
    " \n",
    "p"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "PASSED: Logged in events start appearing on 20 October, the date of deployment. \n",
    "\n",
    "The differences between search location sessions for logged out vs logged in users appears as expected. Most logged-out sessions on the latest vector skin are header-moved events, as the new location is available by default for anonymous users on our early adopter wikis.\n",
    "\n",
    "The new search location was deployed to 50% of logged-in users on early adopter wikis and only preference by other, which is why there is a more event split of sessions for logged-in users. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Review total number of Search Location Events by Logged in Status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'vector_version', 'search_location' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A grouped_df: 8 × 5</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>vector_version</th><th scope=col>search_location</th><th scope=col>logged_in_status</th><th scope=col>num_events</th><th scope=col>num_sessions</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>latest</td><td>header-moved     </td><td>logged-in </td><td>    90586</td><td>   16836</td></tr>\n",
       "\t<tr><td>latest</td><td>header-moved     </td><td>logged-out</td><td>  7376053</td><td>  925453</td></tr>\n",
       "\t<tr><td>latest</td><td>header-navigation</td><td>logged-in </td><td>    69639</td><td>   13154</td></tr>\n",
       "\t<tr><td>latest</td><td>header-navigation</td><td>logged-out</td><td>      136</td><td>      22</td></tr>\n",
       "\t<tr><td>legacy</td><td>header-moved     </td><td>logged-in </td><td>       33</td><td>       2</td></tr>\n",
       "\t<tr><td>legacy</td><td>header-moved     </td><td>logged-out</td><td>  1048688</td><td>  208045</td></tr>\n",
       "\t<tr><td>legacy</td><td>header-navigation</td><td>logged-in </td><td>  2697490</td><td>  505192</td></tr>\n",
       "\t<tr><td>legacy</td><td>header-navigation</td><td>logged-out</td><td>104985732</td><td>14152130</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A grouped\\_df: 8 × 5\n",
       "\\begin{tabular}{lllll}\n",
       " vector\\_version & search\\_location & logged\\_in\\_status & num\\_events & num\\_sessions\\\\\n",
       " <chr> & <chr> & <chr> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t latest & header-moved      & logged-in  &     90586 &    16836\\\\\n",
       "\t latest & header-moved      & logged-out &   7376053 &   925453\\\\\n",
       "\t latest & header-navigation & logged-in  &     69639 &    13154\\\\\n",
       "\t latest & header-navigation & logged-out &       136 &       22\\\\\n",
       "\t legacy & header-moved      & logged-in  &        33 &        2\\\\\n",
       "\t legacy & header-moved      & logged-out &   1048688 &   208045\\\\\n",
       "\t legacy & header-navigation & logged-in  &   2697490 &   505192\\\\\n",
       "\t legacy & header-navigation & logged-out & 104985732 & 14152130\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A grouped_df: 8 × 5\n",
       "\n",
       "| vector_version &lt;chr&gt; | search_location &lt;chr&gt; | logged_in_status &lt;chr&gt; | num_events &lt;int&gt; | num_sessions &lt;int&gt; |\n",
       "|---|---|---|---|---|\n",
       "| latest | header-moved      | logged-in  |     90586 |    16836 |\n",
       "| latest | header-moved      | logged-out |   7376053 |   925453 |\n",
       "| latest | header-navigation | logged-in  |     69639 |    13154 |\n",
       "| latest | header-navigation | logged-out |       136 |       22 |\n",
       "| legacy | header-moved      | logged-in  |        33 |        2 |\n",
       "| legacy | header-moved      | logged-out |   1048688 |   208045 |\n",
       "| legacy | header-navigation | logged-in  |   2697490 |   505192 |\n",
       "| legacy | header-navigation | logged-out | 104985732 | 14152130 |\n",
       "\n"
      ],
      "text/plain": [
       "  vector_version search_location   logged_in_status num_events num_sessions\n",
       "1 latest         header-moved      logged-in            90586     16836    \n",
       "2 latest         header-moved      logged-out         7376053    925453    \n",
       "3 latest         header-navigation logged-in            69639     13154    \n",
       "4 latest         header-navigation logged-out             136        22    \n",
       "5 legacy         header-moved      logged-in               33         2    \n",
       "6 legacy         header-moved      logged-out         1048688    208045    \n",
       "7 legacy         header-navigation logged-in          2697490    505192    \n",
       "8 legacy         header-navigation logged-out       104985732  14152130    "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Confirm number of events and sessions for two new search locations\n",
    "\n",
    "search_sessions_bysearchlocation_byanon <- search_sessions_byanon_clean %>%\n",
    "# Remove null events and only review vector skin events\n",
    "    filter(is_anonymous != 'NULL',\n",
    "              skin_type == 'vector',\n",
    "          search_location %in% c('header-moved', 'header-navigation'))  %>%\n",
    "    group_by(vector_version, search_location, logged_in_status ) %>%\n",
    "    summarise(num_events = sum(events),\n",
    "              num_sessions = n_distinct(search_session))\n",
    "\n",
    "\n",
    "search_sessions_bysearchlocation_byanon "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "PASSED: Logged in status recorded for both vector versions (latest and legacy) and both search locations.\n",
    "\n",
    "The numbers appears as expected. \n",
    "* There are very few header-navigation events events for logged-out users on latest vector, which makes sense as the new search location was deployed as opt out to these users.\n",
    "* There are a few header-moved events on legacy recorded for both logged in and logged out users. These are likely due to caching issues/ old, long-running sessions. There are very few of these for logged in users compared to logged out.\n",
    "* There are a 13% more search events on the legacy skin compared to the latest skin as the latest skin is available as a user preference on all wikis except for partner wikis.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Review total number of search events by skin type and logged in status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'skin_type', 'vector_version' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A grouped_df: 11 × 5</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>skin_type</th><th scope=col>vector_version</th><th scope=col>is_anonymous</th><th scope=col>num_events</th><th scope=col>num_sessions</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>cologneblue</td><td>NULL  </td><td>false</td><td>     1048</td><td>     130</td></tr>\n",
       "\t<tr><td>modern     </td><td>NULL  </td><td>false</td><td>    27117</td><td>    4949</td></tr>\n",
       "\t<tr><td>modern     </td><td>NULL  </td><td>true </td><td>       35</td><td>       4</td></tr>\n",
       "\t<tr><td>monobook   </td><td>NULL  </td><td>false</td><td>   230259</td><td>   42060</td></tr>\n",
       "\t<tr><td>monobook   </td><td>NULL  </td><td>true </td><td>      262</td><td>      44</td></tr>\n",
       "\t<tr><td>timeless   </td><td>NULL  </td><td>false</td><td>    28029</td><td>    5462</td></tr>\n",
       "\t<tr><td>timeless   </td><td>NULL  </td><td>true </td><td>       91</td><td>      19</td></tr>\n",
       "\t<tr><td>vector     </td><td>latest</td><td>false</td><td>   181311</td><td>   30707</td></tr>\n",
       "\t<tr><td>vector     </td><td>latest</td><td>true </td><td>  8293233</td><td>  942578</td></tr>\n",
       "\t<tr><td>vector     </td><td>legacy</td><td>false</td><td>  3081016</td><td>  517489</td></tr>\n",
       "\t<tr><td>vector     </td><td>legacy</td><td>true </td><td>117898901</td><td>14550938</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A grouped\\_df: 11 × 5\n",
       "\\begin{tabular}{lllll}\n",
       " skin\\_type & vector\\_version & is\\_anonymous & num\\_events & num\\_sessions\\\\\n",
       " <chr> & <chr> & <chr> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t cologneblue & NULL   & false &      1048 &      130\\\\\n",
       "\t modern      & NULL   & false &     27117 &     4949\\\\\n",
       "\t modern      & NULL   & true  &        35 &        4\\\\\n",
       "\t monobook    & NULL   & false &    230259 &    42060\\\\\n",
       "\t monobook    & NULL   & true  &       262 &       44\\\\\n",
       "\t timeless    & NULL   & false &     28029 &     5462\\\\\n",
       "\t timeless    & NULL   & true  &        91 &       19\\\\\n",
       "\t vector      & latest & false &    181311 &    30707\\\\\n",
       "\t vector      & latest & true  &   8293233 &   942578\\\\\n",
       "\t vector      & legacy & false &   3081016 &   517489\\\\\n",
       "\t vector      & legacy & true  & 117898901 & 14550938\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A grouped_df: 11 × 5\n",
       "\n",
       "| skin_type &lt;chr&gt; | vector_version &lt;chr&gt; | is_anonymous &lt;chr&gt; | num_events &lt;int&gt; | num_sessions &lt;int&gt; |\n",
       "|---|---|---|---|---|\n",
       "| cologneblue | NULL   | false |      1048 |      130 |\n",
       "| modern      | NULL   | false |     27117 |     4949 |\n",
       "| modern      | NULL   | true  |        35 |        4 |\n",
       "| monobook    | NULL   | false |    230259 |    42060 |\n",
       "| monobook    | NULL   | true  |       262 |       44 |\n",
       "| timeless    | NULL   | false |     28029 |     5462 |\n",
       "| timeless    | NULL   | true  |        91 |       19 |\n",
       "| vector      | latest | false |    181311 |    30707 |\n",
       "| vector      | latest | true  |   8293233 |   942578 |\n",
       "| vector      | legacy | false |   3081016 |   517489 |\n",
       "| vector      | legacy | true  | 117898901 | 14550938 |\n",
       "\n"
      ],
      "text/plain": [
       "   skin_type   vector_version is_anonymous num_events num_sessions\n",
       "1  cologneblue NULL           false             1048       130    \n",
       "2  modern      NULL           false            27117      4949    \n",
       "3  modern      NULL           true                35         4    \n",
       "4  monobook    NULL           false           230259     42060    \n",
       "5  monobook    NULL           true               262        44    \n",
       "6  timeless    NULL           false            28029      5462    \n",
       "7  timeless    NULL           true                91        19    \n",
       "8  vector      latest         false           181311     30707    \n",
       "9  vector      latest         true           8293233    942578    \n",
       "10 vector      legacy         false          3081016    517489    \n",
       "11 vector      legacy         true         117898901  14550938    "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "search_sessions_byskintype_byanon <- search_sessions_byanon %>%\n",
    "    filter(is_anonymous != 'NULL')  %>%\n",
    "    group_by(skin_type, vector_version, is_anonymous ) %>%\n",
    "    summarise(num_events = sum(events),\n",
    "              num_sessions = n_distinct(search_session))\n",
    "\n",
    "\n",
    "search_sessions_byskintype_byanon"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "PASSED: Confirmed that the isAnon field is being logged for multiple skin types. The number of events and sessions seem as expected.  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Review total number of search events by wiki and logged in status"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### By Test Wiki"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'wiki' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A grouped_df: 12 × 4</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>wiki</th><th scope=col>logged_in_status</th><th scope=col>num_events</th><th scope=col>num_sessions</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>euwiki       </td><td>logged-in </td><td>   3538</td><td>   674</td></tr>\n",
       "\t<tr><td>euwiki       </td><td>logged-out</td><td> 102687</td><td>  8607</td></tr>\n",
       "\t<tr><td>fawiki       </td><td>logged-in </td><td>  19891</td><td>  3195</td></tr>\n",
       "\t<tr><td>fawiki       </td><td>logged-out</td><td> 349904</td><td> 38379</td></tr>\n",
       "\t<tr><td>frwiki       </td><td>logged-in </td><td> 180096</td><td> 31216</td></tr>\n",
       "\t<tr><td>frwiki       </td><td>logged-out</td><td>7320373</td><td>809328</td></tr>\n",
       "\t<tr><td>frwiktionary </td><td>logged-in </td><td>  14569</td><td>  2229</td></tr>\n",
       "\t<tr><td>frwiktionary </td><td>logged-out</td><td> 396035</td><td> 53823</td></tr>\n",
       "\t<tr><td>hewiki       </td><td>logged-in </td><td>   8499</td><td>  2339</td></tr>\n",
       "\t<tr><td>hewiki       </td><td>logged-out</td><td> 123024</td><td> 32310</td></tr>\n",
       "\t<tr><td>ptwikiversity</td><td>logged-in </td><td>     16</td><td>     7</td></tr>\n",
       "\t<tr><td>ptwikiversity</td><td>logged-out</td><td>   1082</td><td>   113</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A grouped\\_df: 12 × 4\n",
       "\\begin{tabular}{llll}\n",
       " wiki & logged\\_in\\_status & num\\_events & num\\_sessions\\\\\n",
       " <chr> & <chr> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t euwiki        & logged-in  &    3538 &    674\\\\\n",
       "\t euwiki        & logged-out &  102687 &   8607\\\\\n",
       "\t fawiki        & logged-in  &   19891 &   3195\\\\\n",
       "\t fawiki        & logged-out &  349904 &  38379\\\\\n",
       "\t frwiki        & logged-in  &  180096 &  31216\\\\\n",
       "\t frwiki        & logged-out & 7320373 & 809328\\\\\n",
       "\t frwiktionary  & logged-in  &   14569 &   2229\\\\\n",
       "\t frwiktionary  & logged-out &  396035 &  53823\\\\\n",
       "\t hewiki        & logged-in  &    8499 &   2339\\\\\n",
       "\t hewiki        & logged-out &  123024 &  32310\\\\\n",
       "\t ptwikiversity & logged-in  &      16 &      7\\\\\n",
       "\t ptwikiversity & logged-out &    1082 &    113\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A grouped_df: 12 × 4\n",
       "\n",
       "| wiki &lt;chr&gt; | logged_in_status &lt;chr&gt; | num_events &lt;int&gt; | num_sessions &lt;int&gt; |\n",
       "|---|---|---|---|\n",
       "| euwiki        | logged-in  |    3538 |    674 |\n",
       "| euwiki        | logged-out |  102687 |   8607 |\n",
       "| fawiki        | logged-in  |   19891 |   3195 |\n",
       "| fawiki        | logged-out |  349904 |  38379 |\n",
       "| frwiki        | logged-in  |  180096 |  31216 |\n",
       "| frwiki        | logged-out | 7320373 | 809328 |\n",
       "| frwiktionary  | logged-in  |   14569 |   2229 |\n",
       "| frwiktionary  | logged-out |  396035 |  53823 |\n",
       "| hewiki        | logged-in  |    8499 |   2339 |\n",
       "| hewiki        | logged-out |  123024 |  32310 |\n",
       "| ptwikiversity | logged-in  |      16 |      7 |\n",
       "| ptwikiversity | logged-out |    1082 |    113 |\n",
       "\n"
      ],
      "text/plain": [
       "   wiki          logged_in_status num_events num_sessions\n",
       "1  euwiki        logged-in           3538       674      \n",
       "2  euwiki        logged-out        102687      8607      \n",
       "3  fawiki        logged-in          19891      3195      \n",
       "4  fawiki        logged-out        349904     38379      \n",
       "5  frwiki        logged-in         180096     31216      \n",
       "6  frwiki        logged-out       7320373    809328      \n",
       "7  frwiktionary  logged-in          14569      2229      \n",
       "8  frwiktionary  logged-out        396035     53823      \n",
       "9  hewiki        logged-in           8499      2339      \n",
       "10 hewiki        logged-out        123024     32310      \n",
       "11 ptwikiversity logged-in             16         7      \n",
       "12 ptwikiversity logged-out          1082       113      "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "search_sessions_byskintype_byanon <- search_sessions_byanon_clean %>%\n",
    "    filter(is_anonymous != 'NULL',\n",
    "    wiki %in% c('euwiki', 'frwiki', 'hewiki', 'ptwikiversity', 'frwiktionary', 'fawiki')) %>%\n",
    "    group_by(wiki, logged_in_status ) %>%\n",
    "    summarise(num_events = sum(events),\n",
    "              num_sessions = n_distinct(search_session))\n",
    "\n",
    "\n",
    "search_sessions_byskintype_byanon"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "PASSED\n",
    "\n",
    "Sessions by logged in status appear as expected for all the wikis. There are 11 to 24% more logged out sessions compared to logged-in sessions on each partner wiki."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Search Location Events for AB Test Users on Test Wikis\n",
    "\n",
    " We ran a check to confirm that it was deployed to 50% of users (using the modern vector skin) on each wiki as part of the AB test. Bucketing is done on a search session basis so we can review the number of distinct sessions.\n",
    " \n",
    "During QA, we realized that there was no way to distinguish users in the AB test. An isAnon field was added to the schema on 20 October 2020. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Review AB events to confirm the buckets are balanced\n",
    "\n",
    "query <- \n",
    "\"\n",
    "SELECT\n",
    "    COUNT (DISTINCT(event.searchSessionId) AS search_session,\n",
    "    CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0') as date,\n",
    "    event.inputLocation AS search_location,\n",
    "    event.isAnon AS is_anonymous,\n",
    "    wiki\n",
    "FROM event.searchSatisfaction \n",
    "-- ab test restarted on Oct 20th when isAnon field was added\n",
    "    WHERE year = 2020 AND ((month = 10 and day >= 20)) \n",
    "-- review autocomplete actions\n",
    "    AND event.action = 'searchResultPage'\n",
    "    AND event.source = 'autocomplete'\n",
    "    AND event.inputLocation IN ('header-moved', 'header-navigation')\n",
    "-- review test wikis\n",
    "    AND wiki IN ('euwiki', 'frwiki', 'hewiki', 'ptwikiversity', 'frwiktionary', 'fawiki')\n",
    "-- deployed on on the new vector skin\n",
    "    AND event.skinVersion = 'latest'\n",
    "    AND event.skin = 'vector'\n",
    "-- remove bots\n",
    "    AND useragent.is_bot = false \n",
    "GROUP BY \n",
    "    CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')),\n",
    "    event.inputLocation,\n",
    "    event.isAnon,\n",
    "    event.searchSessionId,\n",
    "    wiki\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "search_sessions_ab <-  wmfdata::query_hive(query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A data.frame: 6 × 6</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>date</th><th scope=col>search_location</th><th scope=col>is_anonymous</th><th scope=col>search_session</th><th scope=col>wiki</th><th scope=col>events</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>2020-10-20</td><td>header-moved</td><td>NULL</td><td>0095a915b3a1d213c379kghu3f7f</td><td>frwiki      </td><td>5</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>2020-10-20</td><td>header-moved</td><td>NULL</td><td>01fb82cbe1d905573c0fkgh7luar</td><td>frwiktionary</td><td>4</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>2020-10-20</td><td>header-moved</td><td>NULL</td><td>04a0f9c79659f303475ckghlgphd</td><td>frwiki      </td><td>3</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>2020-10-20</td><td>header-moved</td><td>NULL</td><td>0927dca0e97d2ce502bakghrezns</td><td>frwiki      </td><td>6</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>2020-10-20</td><td>header-moved</td><td>NULL</td><td>09516839b31bce7bc634kghxdbua</td><td>frwiki      </td><td>2</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>2020-10-20</td><td>header-moved</td><td>NULL</td><td>0b0c97100c563049ccb0kgh8tgh2</td><td>frwiki      </td><td>8</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 6\n",
       "\\begin{tabular}{r|llllll}\n",
       "  & date & search\\_location & is\\_anonymous & search\\_session & wiki & events\\\\\n",
       "  & <chr> & <chr> & <chr> & <chr> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\t1 & 2020-10-20 & header-moved & NULL & 0095a915b3a1d213c379kghu3f7f & frwiki       & 5\\\\\n",
       "\t2 & 2020-10-20 & header-moved & NULL & 01fb82cbe1d905573c0fkgh7luar & frwiktionary & 4\\\\\n",
       "\t3 & 2020-10-20 & header-moved & NULL & 04a0f9c79659f303475ckghlgphd & frwiki       & 3\\\\\n",
       "\t4 & 2020-10-20 & header-moved & NULL & 0927dca0e97d2ce502bakghrezns & frwiki       & 6\\\\\n",
       "\t5 & 2020-10-20 & header-moved & NULL & 09516839b31bce7bc634kghxdbua & frwiki       & 2\\\\\n",
       "\t6 & 2020-10-20 & header-moved & NULL & 0b0c97100c563049ccb0kgh8tgh2 & frwiki       & 8\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 6\n",
       "\n",
       "| <!--/--> | date &lt;chr&gt; | search_location &lt;chr&gt; | is_anonymous &lt;chr&gt; | search_session &lt;chr&gt; | wiki &lt;chr&gt; | events &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|\n",
       "| 1 | 2020-10-20 | header-moved | NULL | 0095a915b3a1d213c379kghu3f7f | frwiki       | 5 |\n",
       "| 2 | 2020-10-20 | header-moved | NULL | 01fb82cbe1d905573c0fkgh7luar | frwiktionary | 4 |\n",
       "| 3 | 2020-10-20 | header-moved | NULL | 04a0f9c79659f303475ckghlgphd | frwiki       | 3 |\n",
       "| 4 | 2020-10-20 | header-moved | NULL | 0927dca0e97d2ce502bakghrezns | frwiki       | 6 |\n",
       "| 5 | 2020-10-20 | header-moved | NULL | 09516839b31bce7bc634kghxdbua | frwiki       | 2 |\n",
       "| 6 | 2020-10-20 | header-moved | NULL | 0b0c97100c563049ccb0kgh8tgh2 | frwiki       | 8 |\n",
       "\n"
      ],
      "text/plain": [
       "  date       search_location is_anonymous search_session              \n",
       "1 2020-10-20 header-moved    NULL         0095a915b3a1d213c379kghu3f7f\n",
       "2 2020-10-20 header-moved    NULL         01fb82cbe1d905573c0fkgh7luar\n",
       "3 2020-10-20 header-moved    NULL         04a0f9c79659f303475ckghlgphd\n",
       "4 2020-10-20 header-moved    NULL         0927dca0e97d2ce502bakghrezns\n",
       "5 2020-10-20 header-moved    NULL         09516839b31bce7bc634kghxdbua\n",
       "6 2020-10-20 header-moved    NULL         0b0c97100c563049ccb0kgh8tgh2\n",
       "  wiki         events\n",
       "1 frwiki       5     \n",
       "2 frwiktionary 4     \n",
       "3 frwiki       3     \n",
       "4 frwiki       6     \n",
       "5 frwiki       2     \n",
       "6 frwiki       8     "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "head(search_sessions_ab)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "search_sessions_ab$date <- as.Date(search_sessions_ab$date, format = \"%Y-%m-%d\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# rename is anon column to clarify logged in status\n",
    "\n",
    "search_sessions_ab_clean <- search_sessions_ab %>%\n",
    " mutate(logged_in_status = case_when(\n",
    "        is_anonymous == 'NULL' ~ \"NULL\",\n",
    "        is_anonymous == 'false'~ \"logged-in\",\n",
    "        is_anonymous == 'true' ~ \"logged-out\"))\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` ungrouping output (override with `.groups` argument)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "search_sessions_ab_check <- search_sessions_ab_clean %>%\n",
    "# review only logged in events on wikis\n",
    "    filter(logged_in_status == 'logged-in') %>%\n",
    "    group_by(search_location) %>%\n",
    "    summarise(num_events = sum(events),\n",
    "              num_sessions = n_distinct(search_session))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Distinct Sessions for all users in AB test across wikis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A tibble: 2 × 3</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>search_location</th><th scope=col>num_events</th><th scope=col>num_sessions</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>header-moved     </td><td>129098</td><td>22783</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>133058</td><td>25205</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 2 × 3\n",
       "\\begin{tabular}{lll}\n",
       " search\\_location & num\\_events & num\\_sessions\\\\\n",
       " <chr> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t header-moved      & 129098 & 22783\\\\\n",
       "\t header-navigation & 133058 & 25205\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 2 × 3\n",
       "\n",
       "| search_location &lt;chr&gt; | num_events &lt;int&gt; | num_sessions &lt;int&gt; |\n",
       "|---|---|---|\n",
       "| header-moved      | 129098 | 22783 |\n",
       "| header-navigation | 133058 | 25205 |\n",
       "\n"
      ],
      "text/plain": [
       "  search_location   num_events num_sessions\n",
       "1 header-moved      129098     22783       \n",
       "2 header-navigation 133058     25205       "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "search_sessions_ab_check"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Distinct Sessions for all users in AB test Per Wiki"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'search_location' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A grouped_df: 12 × 4</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>search_location</th><th scope=col>wiki</th><th scope=col>num_events</th><th scope=col>num_sessions</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>header-moved     </td><td>euwiki       </td><td>  3422</td><td>  694</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>euwiki       </td><td>  2502</td><td>  503</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>fawiki       </td><td> 12314</td><td> 2031</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>fawiki       </td><td> 11434</td><td> 1906</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>frwiki       </td><td>101237</td><td>17690</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>frwiki       </td><td>109061</td><td>20390</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>frwiktionary </td><td> 10429</td><td> 1498</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>frwiktionary </td><td>  7974</td><td> 1330</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>hewiki       </td><td>  1659</td><td>  859</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>hewiki       </td><td>  2055</td><td> 1069</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>ptwikiversity</td><td>    37</td><td>   11</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>ptwikiversity</td><td>    32</td><td>    7</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A grouped\\_df: 12 × 4\n",
       "\\begin{tabular}{llll}\n",
       " search\\_location & wiki & num\\_events & num\\_sessions\\\\\n",
       " <chr> & <chr> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t header-moved      & euwiki        &   3422 &   694\\\\\n",
       "\t header-navigation & euwiki        &   2502 &   503\\\\\n",
       "\t header-moved      & fawiki        &  12314 &  2031\\\\\n",
       "\t header-navigation & fawiki        &  11434 &  1906\\\\\n",
       "\t header-moved      & frwiki        & 101237 & 17690\\\\\n",
       "\t header-navigation & frwiki        & 109061 & 20390\\\\\n",
       "\t header-moved      & frwiktionary  &  10429 &  1498\\\\\n",
       "\t header-navigation & frwiktionary  &   7974 &  1330\\\\\n",
       "\t header-moved      & hewiki        &   1659 &   859\\\\\n",
       "\t header-navigation & hewiki        &   2055 &  1069\\\\\n",
       "\t header-moved      & ptwikiversity &     37 &    11\\\\\n",
       "\t header-navigation & ptwikiversity &     32 &     7\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A grouped_df: 12 × 4\n",
       "\n",
       "| search_location &lt;chr&gt; | wiki &lt;chr&gt; | num_events &lt;int&gt; | num_sessions &lt;int&gt; |\n",
       "|---|---|---|---|\n",
       "| header-moved      | euwiki        |   3422 |   694 |\n",
       "| header-navigation | euwiki        |   2502 |   503 |\n",
       "| header-moved      | fawiki        |  12314 |  2031 |\n",
       "| header-navigation | fawiki        |  11434 |  1906 |\n",
       "| header-moved      | frwiki        | 101237 | 17690 |\n",
       "| header-navigation | frwiki        | 109061 | 20390 |\n",
       "| header-moved      | frwiktionary  |  10429 |  1498 |\n",
       "| header-navigation | frwiktionary  |   7974 |  1330 |\n",
       "| header-moved      | hewiki        |   1659 |   859 |\n",
       "| header-navigation | hewiki        |   2055 |  1069 |\n",
       "| header-moved      | ptwikiversity |     37 |    11 |\n",
       "| header-navigation | ptwikiversity |     32 |     7 |\n",
       "\n"
      ],
      "text/plain": [
       "   search_location   wiki          num_events num_sessions\n",
       "1  header-moved      euwiki          3422       694       \n",
       "2  header-navigation euwiki          2502       503       \n",
       "3  header-moved      fawiki         12314      2031       \n",
       "4  header-navigation fawiki         11434      1906       \n",
       "5  header-moved      frwiki        101237     17690       \n",
       "6  header-navigation frwiki        109061     20390       \n",
       "7  header-moved      frwiktionary   10429      1498       \n",
       "8  header-navigation frwiktionary    7974      1330       \n",
       "9  header-moved      hewiki          1659       859       \n",
       "10 header-navigation hewiki          2055      1069       \n",
       "11 header-moved      ptwikiversity     37        11       \n",
       "12 header-navigation ptwikiversity     32         7       "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "search_sessions_ab_check_bywiki <- search_sessions_ab_clean %>%\n",
    "# review only logged in events on wikis\n",
    "    filter(logged_in_status == 'logged-in') %>%\n",
    "    group_by(search_location, wiki) %>%\n",
    "    summarise(num_events = sum(events),\n",
    "              num_sessions = n_distinct(search_session)) %>%\n",
    "    arrange(wiki)\n",
    "\n",
    "search_sessions_ab_check_bywiki"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The current difference is within the probable range of a random 50/50 split and the buckets look balanced. Note: There are very few header-moved and header-navigation events recorded for pwikiversity. As a result, it may be difficult to determine any impact of the header move on search sessions initiated during the AB test analysis. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# New Search Widget QA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The new search widget was deployed on the test wiki on 17 September 2020 [T259798](https://phabricator.wikimedia.org/T259798).\n",
    "\n",
    "I first reviewed events logged on the test wiki to ensure they were recorded as expected prior to the search widget being deployed to the pilot wikis.\n",
    "\n",
    "Scenarios Tested:\n",
    "* Check new search widget events by search location (PASSED)\n",
    "* Check date when events started coming in and the number of events appear as expected (PASSED)\n",
    "* Check that new search widget events by vector version (PASSED)\n",
    "* Check associated actions and sources (PASSED)\n",
    "* Check events appear for wikis as expected (PASSED)\n",
    "* Check trend of logged in and logged out sessions and events. (PASSED) \n",
    "* Check that new edit bucket field was added appopriately (PASSED)\n",
    "* Check that AB test is balanced (PASSED)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test Wiki Post Deployment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# collect data from SearchSatisfaction for the relevant fields.\n",
    "query <- \n",
    "\"SELECT\n",
    "    CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')) as search_dt,\n",
    "    event.inputLocation AS search_location,\n",
    "    event.searchSessionId AS search_session,\n",
    "    event.skinVersion AS vector_version,\n",
    "    event.action AS action_type,\n",
    "    event.source AS source_type,\n",
    "    event.skin AS skin_type,\n",
    "    event.isAnon AS is_anonymous,\n",
    "    event.extraParams AS search_type,\n",
    "    wiki AS wiki,\n",
    "    Count(*) AS events\n",
    "FROM event.searchSatisfaction\n",
    "    WHERE year = 2021\n",
    "    AND month = 02\n",
    "    AND day >= 17\n",
    "    -- remove bots\n",
    "    AND useragent.is_bot = false \n",
    "    AND wiki IN ('testwiki', 'test2wiki')\n",
    "GROUP BY \n",
    "    CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')),\n",
    "    event.inputLocation,\n",
    "    event.searchSessionId,\n",
    "    event.skinVersion,\n",
    "    event.action,\n",
    "    event.source,\n",
    "    event.skin,\n",
    "    event.isAnon,\n",
    "    event.extraParams,\n",
    "    wiki\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Don't forget to authenticate with Kerberos using kinit\n",
      "\n"
     ]
    }
   ],
   "source": [
    "search_widget_sessions <-  wmfdata::query_hive(query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "search_widget_sessions$search_dt <- as.Date(search_widget_sessions$search_dt)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## New Search Widget Events and Sessions By Date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` ungrouping output (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A tibble: 3 × 3</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>search_dt</th><th scope=col>num_events</th><th scope=col>num_sessions</th></tr>\n",
       "\t<tr><th scope=col>&lt;date&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>2021-02-17</td><td>19</td><td>4</td></tr>\n",
       "\t<tr><td>2021-02-18</td><td> 1</td><td>1</td></tr>\n",
       "\t<tr><td>2021-02-22</td><td> 1</td><td>1</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 3 × 3\n",
       "\\begin{tabular}{lll}\n",
       " search\\_dt & num\\_events & num\\_sessions\\\\\n",
       " <date> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t 2021-02-17 & 19 & 4\\\\\n",
       "\t 2021-02-18 &  1 & 1\\\\\n",
       "\t 2021-02-22 &  1 & 1\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 3 × 3\n",
       "\n",
       "| search_dt &lt;date&gt; | num_events &lt;int&gt; | num_sessions &lt;int&gt; |\n",
       "|---|---|---|\n",
       "| 2021-02-17 | 19 | 4 |\n",
       "| 2021-02-18 |  1 | 1 |\n",
       "| 2021-02-22 |  1 | 1 |\n",
       "\n"
      ],
      "text/plain": [
       "  search_dt  num_events num_sessions\n",
       "1 2021-02-17 19         4           \n",
       "2 2021-02-18  1         1           \n",
       "3 2021-02-22  1         1           "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "search_sessions_bydate <- search_widget_sessions %>%\n",
    "#find new search widget events\n",
    "    filter(action_type == 'searchResultPage',\n",
    "            source_type == 'autocomplete',\n",
    "        search_type ==\"WVUI\") %>%\n",
    "    group_by(search_dt) %>%\n",
    "    summarise(num_events = sum(events),\n",
    "             num_sessions = n_distinct(search_session)) %>%\n",
    "    arrange(search_dt)\n",
    "\n",
    "search_sessions_bydate"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " A total of 6 new search widge search sessions initiated (as indicated by `event.extraParams = 'WVUI'`) have been recorded to date on the testwiki as of 22 February 2020."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## New Search Widget Events By Search Type and Search Location"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'search_type', 'vector_version' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A grouped_df: 5 × 5</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>search_type</th><th scope=col>vector_version</th><th scope=col>search_location</th><th scope=col>num_events</th><th scope=col>num_sessions</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>NULL</td><td>latest</td><td>content          </td><td>16</td><td> 3</td></tr>\n",
       "\t<tr><td>NULL</td><td>latest</td><td>header-moved     </td><td>30</td><td>13</td></tr>\n",
       "\t<tr><td>NULL</td><td>legacy</td><td>content          </td><td> 8</td><td> 3</td></tr>\n",
       "\t<tr><td>NULL</td><td>legacy</td><td>header-navigation</td><td>85</td><td>24</td></tr>\n",
       "\t<tr><td>WVUI</td><td>latest</td><td>header-moved     </td><td>21</td><td> 6</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A grouped\\_df: 5 × 5\n",
       "\\begin{tabular}{lllll}\n",
       " search\\_type & vector\\_version & search\\_location & num\\_events & num\\_sessions\\\\\n",
       " <chr> & <chr> & <chr> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t NULL & latest & content           & 16 &  3\\\\\n",
       "\t NULL & latest & header-moved      & 30 & 13\\\\\n",
       "\t NULL & legacy & content           &  8 &  3\\\\\n",
       "\t NULL & legacy & header-navigation & 85 & 24\\\\\n",
       "\t WVUI & latest & header-moved      & 21 &  6\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A grouped_df: 5 × 5\n",
       "\n",
       "| search_type &lt;chr&gt; | vector_version &lt;chr&gt; | search_location &lt;chr&gt; | num_events &lt;int&gt; | num_sessions &lt;int&gt; |\n",
       "|---|---|---|---|---|\n",
       "| NULL | latest | content           | 16 |  3 |\n",
       "| NULL | latest | header-moved      | 30 | 13 |\n",
       "| NULL | legacy | content           |  8 |  3 |\n",
       "| NULL | legacy | header-navigation | 85 | 24 |\n",
       "| WVUI | latest | header-moved      | 21 |  6 |\n",
       "\n"
      ],
      "text/plain": [
       "  search_type vector_version search_location   num_events num_sessions\n",
       "1 NULL        latest         content           16          3          \n",
       "2 NULL        latest         header-moved      30         13          \n",
       "3 NULL        legacy         content            8          3          \n",
       "4 NULL        legacy         header-navigation 85         24          \n",
       "5 WVUI        latest         header-moved      21          6          "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "search_sessions_bysearchlocation <- search_widget_sessions %>%\n",
    "# review only autcomplete sessions\n",
    "    filter(action_type == 'searchResultPage',\n",
    "            source_type == 'autocomplete',\n",
    "          skin_type == 'vector') %>%\n",
    "    group_by(search_type, vector_version, search_location) %>%\n",
    "    summarise(num_events = sum(events),\n",
    "             num_sessions = n_distinct(search_session)) \n",
    "\n",
    "search_sessions_bysearchlocation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The new search widget events are only logged for the new search location (`event.inputLocation = 'header-moved`) as expected. We are also logging old search widget events (as indicated by `event.extraParams IS NULL`) for the new search location) as expected. \n",
    "\n",
    "The old search location only has events recorded for the legacy vector version and does not include any new search widget events. \n",
    "\n",
    "NOTE:\n",
    "* `search_location = content` events are searches done one the [advanced search page](https://en.wikipedia.org/w/index.php?search=&title=Special%3ASearch&go=Go)  and not appplicable to the new search widget which is displayed on article pages. \n",
    "* There have been 21 new search widget search initiated events as shown in the table above but 23 total new search widget events including click events. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## New Search Widget Events By Skin Version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'search_type', 'skin_type' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A grouped_df: 5 × 5</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>search_type</th><th scope=col>skin_type</th><th scope=col>vector_version</th><th scope=col>num_events</th><th scope=col>num_sessions</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>NULL</td><td>monobook</td><td>NULL  </td><td>34</td><td> 8</td></tr>\n",
       "\t<tr><td>NULL</td><td>timeless</td><td>NULL  </td><td>10</td><td> 3</td></tr>\n",
       "\t<tr><td>NULL</td><td>vector  </td><td>latest</td><td>46</td><td>15</td></tr>\n",
       "\t<tr><td>NULL</td><td>vector  </td><td>legacy</td><td>93</td><td>24</td></tr>\n",
       "\t<tr><td>WVUI</td><td>vector  </td><td>latest</td><td>21</td><td> 6</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A grouped\\_df: 5 × 5\n",
       "\\begin{tabular}{lllll}\n",
       " search\\_type & skin\\_type & vector\\_version & num\\_events & num\\_sessions\\\\\n",
       " <chr> & <chr> & <chr> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t NULL & monobook & NULL   & 34 &  8\\\\\n",
       "\t NULL & timeless & NULL   & 10 &  3\\\\\n",
       "\t NULL & vector   & latest & 46 & 15\\\\\n",
       "\t NULL & vector   & legacy & 93 & 24\\\\\n",
       "\t WVUI & vector   & latest & 21 &  6\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A grouped_df: 5 × 5\n",
       "\n",
       "| search_type &lt;chr&gt; | skin_type &lt;chr&gt; | vector_version &lt;chr&gt; | num_events &lt;int&gt; | num_sessions &lt;int&gt; |\n",
       "|---|---|---|---|---|\n",
       "| NULL | monobook | NULL   | 34 |  8 |\n",
       "| NULL | timeless | NULL   | 10 |  3 |\n",
       "| NULL | vector   | latest | 46 | 15 |\n",
       "| NULL | vector   | legacy | 93 | 24 |\n",
       "| WVUI | vector   | latest | 21 |  6 |\n",
       "\n"
      ],
      "text/plain": [
       "  search_type skin_type vector_version num_events num_sessions\n",
       "1 NULL        monobook  NULL           34          8          \n",
       "2 NULL        timeless  NULL           10          3          \n",
       "3 NULL        vector    latest         46         15          \n",
       "4 NULL        vector    legacy         93         24          \n",
       "5 WVUI        vector    latest         21          6          "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "search_sessions_byskintype <- search_widget_sessions %>%\n",
    "# review only autcomplete sessions.\n",
    "    filter(action_type == 'searchResultPage',\n",
    "            source_type == 'autocomplete') %>%\n",
    "    group_by(search_type, skin_type, vector_version) %>%\n",
    "    summarise(num_events = sum(events),\n",
    "             num_sessions = n_distinct(search_session)) \n",
    "\n",
    "search_sessions_byskintype "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Confirmed that new search widget events are only logged for the latest vector skin."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## New Search Widget Events By Action Type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'search_type', 'source_type' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A grouped_df: 2 × 5</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>search_type</th><th scope=col>source_type</th><th scope=col>action_type</th><th scope=col>num_events</th><th scope=col>num_sessions</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>WVUI</td><td>autocomplete</td><td>click           </td><td> 2</td><td>2</td></tr>\n",
       "\t<tr><td>WVUI</td><td>autocomplete</td><td>searchResultPage</td><td>21</td><td>6</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A grouped\\_df: 2 × 5\n",
       "\\begin{tabular}{lllll}\n",
       " search\\_type & source\\_type & action\\_type & num\\_events & num\\_sessions\\\\\n",
       " <chr> & <chr> & <chr> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t WVUI & autocomplete & click            &  2 & 2\\\\\n",
       "\t WVUI & autocomplete & searchResultPage & 21 & 6\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A grouped_df: 2 × 5\n",
       "\n",
       "| search_type &lt;chr&gt; | source_type &lt;chr&gt; | action_type &lt;chr&gt; | num_events &lt;int&gt; | num_sessions &lt;int&gt; |\n",
       "|---|---|---|---|---|\n",
       "| WVUI | autocomplete | click            |  2 | 2 |\n",
       "| WVUI | autocomplete | searchResultPage | 21 | 6 |\n",
       "\n"
      ],
      "text/plain": [
       "  search_type source_type  action_type      num_events num_sessions\n",
       "1 WVUI        autocomplete click             2         2           \n",
       "2 WVUI        autocomplete searchResultPage 21         6           "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "search_sessions_byactiontype <- search_widget_sessions %>%\n",
    "# review only autcomplete sessions.\n",
    "    filter(search_type == 'WVUI') %>%\n",
    "    group_by(search_type, source_type, action_type) %>%\n",
    "    summarise(num_events = sum(events),\n",
    "             num_sessions = n_distinct(search_session)) \n",
    "\n",
    "search_sessions_byactiontype"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The new search widget events are recorded for autocomplete search sessions intiated as expected. There were also 2 click events that were logged as coming from the new search widget. \n",
    "\n",
    "Note: Click events include the event.extraParams field to indicate if the new search widget was used but do not include event.inputLocation field to indicate the search location; however, we can use the sessionid to determine which search location sessions included a click to a result.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## New Search Widget Events By Logged In Status"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Logged in vs Logged out Users that see new header search location"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'search_type' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A grouped_df: 3 × 4</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>search_type</th><th scope=col>is_anonymous</th><th scope=col>num_events</th><th scope=col>num_sessions</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>NULL</td><td>false</td><td>30</td><td>13</td></tr>\n",
       "\t<tr><td>WVUI</td><td>false</td><td>14</td><td> 1</td></tr>\n",
       "\t<tr><td>WVUI</td><td>true </td><td> 7</td><td> 5</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A grouped\\_df: 3 × 4\n",
       "\\begin{tabular}{llll}\n",
       " search\\_type & is\\_anonymous & num\\_events & num\\_sessions\\\\\n",
       " <chr> & <chr> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t NULL & false & 30 & 13\\\\\n",
       "\t WVUI & false & 14 &  1\\\\\n",
       "\t WVUI & true  &  7 &  5\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A grouped_df: 3 × 4\n",
       "\n",
       "| search_type &lt;chr&gt; | is_anonymous &lt;chr&gt; | num_events &lt;int&gt; | num_sessions &lt;int&gt; |\n",
       "|---|---|---|---|\n",
       "| NULL | false | 30 | 13 |\n",
       "| WVUI | false | 14 |  1 |\n",
       "| WVUI | true  |  7 |  5 |\n",
       "\n"
      ],
      "text/plain": [
       "  search_type is_anonymous num_events num_sessions\n",
       "1 NULL        false        30         13          \n",
       "2 WVUI        false        14          1          \n",
       "3 WVUI        true          7          5          "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "search_sessions_byanon_newloc <- search_widget_sessions %>%\n",
    "## review search actions in new search location\n",
    "    filter(action_type == 'searchResultPage',\n",
    "           search_location == 'header-moved') %>%\n",
    "        #search_type == 'WVUI') %>%\n",
    "    group_by(search_type, is_anonymous) %>%\n",
    "    summarise(num_events = sum(events),\n",
    "             num_sessions = n_distinct(search_session)) \n",
    "\n",
    "search_sessions_byanon_newloc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Logged in vs Logged out Users by Search Location"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'search_location', 'is_anonymous' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A grouped_df: 4 × 5</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>search_location</th><th scope=col>is_anonymous</th><th scope=col>vector_version</th><th scope=col>num_events</th><th scope=col>num_sessions</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>header-moved     </td><td>false</td><td>latest</td><td>44</td><td>14</td></tr>\n",
       "\t<tr><td>header-moved     </td><td>true </td><td>latest</td><td> 7</td><td> 5</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>false</td><td>legacy</td><td>80</td><td>23</td></tr>\n",
       "\t<tr><td>header-navigation</td><td>true </td><td>legacy</td><td> 5</td><td> 1</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A grouped\\_df: 4 × 5\n",
       "\\begin{tabular}{lllll}\n",
       " search\\_location & is\\_anonymous & vector\\_version & num\\_events & num\\_sessions\\\\\n",
       " <chr> & <chr> & <chr> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t header-moved      & false & latest & 44 & 14\\\\\n",
       "\t header-moved      & true  & latest &  7 &  5\\\\\n",
       "\t header-navigation & false & legacy & 80 & 23\\\\\n",
       "\t header-navigation & true  & legacy &  5 &  1\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A grouped_df: 4 × 5\n",
       "\n",
       "| search_location &lt;chr&gt; | is_anonymous &lt;chr&gt; | vector_version &lt;chr&gt; | num_events &lt;int&gt; | num_sessions &lt;int&gt; |\n",
       "|---|---|---|---|---|\n",
       "| header-moved      | false | latest | 44 | 14 |\n",
       "| header-moved      | true  | latest |  7 |  5 |\n",
       "| header-navigation | false | legacy | 80 | 23 |\n",
       "| header-navigation | true  | legacy |  5 |  1 |\n",
       "\n"
      ],
      "text/plain": [
       "  search_location   is_anonymous vector_version num_events num_sessions\n",
       "1 header-moved      false        latest         44         14          \n",
       "2 header-moved      true         latest          7          5          \n",
       "3 header-navigation false        legacy         80         23          \n",
       "4 header-navigation true         legacy          5          1          "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "search_sessions_byanon_newsearch <- search_widget_sessions %>%\n",
    "# ## review search actions using new search widget\n",
    "    filter( action_type == 'searchResultPage',\n",
    "          search_location %in% c('header-moved', 'header-navigation')) %>%\n",
    "    group_by(search_location, is_anonymous, vector_version) %>%\n",
    "    summarise(num_events = sum(events),\n",
    "             num_sessions = n_distinct(search_session)) \n",
    "\n",
    "search_sessions_byanon_newsearch"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On the latest vector dekstop version, search sessions for logged-out are only recorded for the new search location and the new search widget as expected. Logged-in users see either the new search location and new search widget or the new search location and the old search widget depending on which AB treatment they receive. \n",
    "\n",
    "New search widget events have been recorded for both logged in (1 session) and logged out (5 sessions) users."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## New Search Widget AB Test Sessions Initiated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'search_type' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A grouped_df: 2 × 4</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>search_type</th><th scope=col>search_location</th><th scope=col>num_events</th><th scope=col>num_sessions</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>NULL</td><td>header-moved</td><td>30</td><td>13</td></tr>\n",
       "\t<tr><td>WVUI</td><td>header-moved</td><td>14</td><td> 1</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A grouped\\_df: 2 × 4\n",
       "\\begin{tabular}{llll}\n",
       " search\\_type & search\\_location & num\\_events & num\\_sessions\\\\\n",
       " <chr> & <chr> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t NULL & header-moved & 30 & 13\\\\\n",
       "\t WVUI & header-moved & 14 &  1\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A grouped_df: 2 × 4\n",
       "\n",
       "| search_type &lt;chr&gt; | search_location &lt;chr&gt; | num_events &lt;int&gt; | num_sessions &lt;int&gt; |\n",
       "|---|---|---|---|\n",
       "| NULL | header-moved | 30 | 13 |\n",
       "| WVUI | header-moved | 14 |  1 |\n",
       "\n"
      ],
      "text/plain": [
       "  search_type search_location num_events num_sessions\n",
       "1 NULL        header-moved    30         13          \n",
       "2 WVUI        header-moved    14          1          "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "search_sessions_ab_test <- search_widget_sessions %>%\n",
    "# review search sessions initiated that meet AB bucketing criteria\n",
    "    filter(\n",
    "         search_location %in% c('header-moved', 'header-navigation'),\n",
    "        is_anonymous == 'false',\n",
    "          source_type == 'autocomplete',\n",
    "          action_type == 'searchResultPage',\n",
    "          vector_version == 'latest',\n",
    "          skin_type == 'vector') %>%\n",
    "    group_by(search_type, search_location) %>%\n",
    "    summarise(num_events = sum(events),\n",
    "             num_sessions = n_distinct(search_session)) \n",
    "\n",
    "search_sessions_ab_test"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There have not been sufficent number of events to confirm AB Bucketing but I've confirmed that the AB instrumentation is in place as needed. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Search Widget Session By Edit Count\n",
    "\n",
    "An edit count bucket was added to the SearchSatisfaction schema in [T272991](https://phabricator.wikimedia.org/T272991). The change was deployed on 23 February 2021.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# collect data from SearchSatisfaction for the relevant fields.\n",
    "query <- \n",
    "\"SELECT\n",
    "    CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')) as search_dt,\n",
    "    event.inputLocation AS search_location,\n",
    "    event.searchSessionId AS search_session,\n",
    "    event.skinVersion AS vector_version,\n",
    "    event.action AS action_type,\n",
    "    event.source AS source_type,\n",
    "    event.isAnon AS is_anonymous,\n",
    "    event.extraParams AS search_type,\n",
    "    event.usereditbucket as edit_bucket,\n",
    "    wiki AS wiki,\n",
    "    Count(*) AS events\n",
    "FROM event.searchSatisfaction\n",
    "    WHERE year = 2021\n",
    "    AND month = 02\n",
    "-- change deployed on 24 Feb 2021 \n",
    "    AND day >= 24\n",
    "    -- remove bots\n",
    "    AND useragent.is_bot = false \n",
    "    AND event.skin = 'vector'\n",
    "GROUP BY \n",
    "    CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')),\n",
    "    event.inputLocation,\n",
    "    event.searchSessionId,\n",
    "    event.skinVersion,\n",
    "    event.action,\n",
    "    event.source,\n",
    "    event.isAnon,\n",
    "    event.extraParams,\n",
    "    event.usereditbucket,\n",
    "    wiki\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Don't forget to authenticate with Kerberos using kinit\n",
      "\n"
     ]
    }
   ],
   "source": [
    "search_sessions_weditbucket <-  wmfdata::query_hive(query)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Edit bucket count events by wiki"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'wiki' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A grouped_df: 6 × 4</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>wiki</th><th scope=col>edit_bucket</th><th scope=col>num_events</th><th scope=col>num_sessions</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>mediawikiwiki   </td><td>0 edits      </td><td>1396</td><td>111</td></tr>\n",
       "\t<tr><td>mediawikiwiki   </td><td>1-4 edits    </td><td>   6</td><td>  1</td></tr>\n",
       "\t<tr><td>mediawikiwiki   </td><td>100-999 edits</td><td>  50</td><td>  2</td></tr>\n",
       "\t<tr><td>mediawikiwiki   </td><td>1000+ edits  </td><td>   5</td><td>  1</td></tr>\n",
       "\t<tr><td>mediawikiwiki   </td><td>5-99 edits   </td><td>  58</td><td>  6</td></tr>\n",
       "\t<tr><td>testwikidatawiki</td><td>0 edits      </td><td>   2</td><td>  1</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A grouped\\_df: 6 × 4\n",
       "\\begin{tabular}{llll}\n",
       " wiki & edit\\_bucket & num\\_events & num\\_sessions\\\\\n",
       " <chr> & <chr> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t mediawikiwiki    & 0 edits       & 1396 & 111\\\\\n",
       "\t mediawikiwiki    & 1-4 edits     &    6 &   1\\\\\n",
       "\t mediawikiwiki    & 100-999 edits &   50 &   2\\\\\n",
       "\t mediawikiwiki    & 1000+ edits   &    5 &   1\\\\\n",
       "\t mediawikiwiki    & 5-99 edits    &   58 &   6\\\\\n",
       "\t testwikidatawiki & 0 edits       &    2 &   1\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A grouped_df: 6 × 4\n",
       "\n",
       "| wiki &lt;chr&gt; | edit_bucket &lt;chr&gt; | num_events &lt;int&gt; | num_sessions &lt;int&gt; |\n",
       "|---|---|---|---|\n",
       "| mediawikiwiki    | 0 edits       | 1396 | 111 |\n",
       "| mediawikiwiki    | 1-4 edits     |    6 |   1 |\n",
       "| mediawikiwiki    | 100-999 edits |   50 |   2 |\n",
       "| mediawikiwiki    | 1000+ edits   |    5 |   1 |\n",
       "| mediawikiwiki    | 5-99 edits    |   58 |   6 |\n",
       "| testwikidatawiki | 0 edits       |    2 |   1 |\n",
       "\n"
      ],
      "text/plain": [
       "  wiki             edit_bucket   num_events num_sessions\n",
       "1 mediawikiwiki    0 edits       1396       111         \n",
       "2 mediawikiwiki    1-4 edits        6         1         \n",
       "3 mediawikiwiki    100-999 edits   50         2         \n",
       "4 mediawikiwiki    1000+ edits      5         1         \n",
       "5 mediawikiwiki    5-99 edits      58         6         \n",
       "6 testwikidatawiki 0 edits          2         1         "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "editbucket_events_bywiki <- search_sessions_weditbucket %>%\n",
    "    filter(edit_bucket != 'NULL') %>%\n",
    "    group_by(wiki, edit_bucket) %>%\n",
    "    summarise(num_events = sum(events),\n",
    "             num_sessions = n_distinct(search_session))\n",
    "\n",
    "\n",
    "editbucket_events_bywiki"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Search session with the edit bucket field data have been recorded on mediawiki (121 search sessions) and testwikidata (1 session) so far. We have events logged for all 5 edit buckts types and the number of events per edit bucket seem reasonable."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Edit bucket count events by logged in status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'wiki', 'is_anonymous' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A grouped_df: 7 × 5</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>wiki</th><th scope=col>is_anonymous</th><th scope=col>edit_bucket</th><th scope=col>num_events</th><th scope=col>num_sessions</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>mediawikiwiki   </td><td>false</td><td>0 edits      </td><td>  75</td><td>14</td></tr>\n",
       "\t<tr><td>mediawikiwiki   </td><td>false</td><td>1-4 edits    </td><td>   6</td><td> 1</td></tr>\n",
       "\t<tr><td>mediawikiwiki   </td><td>false</td><td>100-999 edits</td><td>  50</td><td> 2</td></tr>\n",
       "\t<tr><td>mediawikiwiki   </td><td>false</td><td>1000+ edits  </td><td>   5</td><td> 1</td></tr>\n",
       "\t<tr><td>mediawikiwiki   </td><td>false</td><td>5-99 edits   </td><td>  58</td><td> 6</td></tr>\n",
       "\t<tr><td>mediawikiwiki   </td><td>true </td><td>0 edits      </td><td>1321</td><td>99</td></tr>\n",
       "\t<tr><td>testwikidatawiki</td><td>true </td><td>0 edits      </td><td>   2</td><td> 1</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A grouped\\_df: 7 × 5\n",
       "\\begin{tabular}{lllll}\n",
       " wiki & is\\_anonymous & edit\\_bucket & num\\_events & num\\_sessions\\\\\n",
       " <chr> & <chr> & <chr> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t mediawikiwiki    & false & 0 edits       &   75 & 14\\\\\n",
       "\t mediawikiwiki    & false & 1-4 edits     &    6 &  1\\\\\n",
       "\t mediawikiwiki    & false & 100-999 edits &   50 &  2\\\\\n",
       "\t mediawikiwiki    & false & 1000+ edits   &    5 &  1\\\\\n",
       "\t mediawikiwiki    & false & 5-99 edits    &   58 &  6\\\\\n",
       "\t mediawikiwiki    & true  & 0 edits       & 1321 & 99\\\\\n",
       "\t testwikidatawiki & true  & 0 edits       &    2 &  1\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A grouped_df: 7 × 5\n",
       "\n",
       "| wiki &lt;chr&gt; | is_anonymous &lt;chr&gt; | edit_bucket &lt;chr&gt; | num_events &lt;int&gt; | num_sessions &lt;int&gt; |\n",
       "|---|---|---|---|---|\n",
       "| mediawikiwiki    | false | 0 edits       |   75 | 14 |\n",
       "| mediawikiwiki    | false | 1-4 edits     |    6 |  1 |\n",
       "| mediawikiwiki    | false | 100-999 edits |   50 |  2 |\n",
       "| mediawikiwiki    | false | 1000+ edits   |    5 |  1 |\n",
       "| mediawikiwiki    | false | 5-99 edits    |   58 |  6 |\n",
       "| mediawikiwiki    | true  | 0 edits       | 1321 | 99 |\n",
       "| testwikidatawiki | true  | 0 edits       |    2 |  1 |\n",
       "\n"
      ],
      "text/plain": [
       "  wiki             is_anonymous edit_bucket   num_events num_sessions\n",
       "1 mediawikiwiki    false        0 edits         75       14          \n",
       "2 mediawikiwiki    false        1-4 edits        6        1          \n",
       "3 mediawikiwiki    false        100-999 edits   50        2          \n",
       "4 mediawikiwiki    false        1000+ edits      5        1          \n",
       "5 mediawikiwiki    false        5-99 edits      58        6          \n",
       "6 mediawikiwiki    true         0 edits       1321       99          \n",
       "7 testwikidatawiki true         0 edits          2        1          "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "editbucket_events_byloggedin <- search_sessions_weditbucket %>%\n",
    "    filter(edit_bucket != 'NULL') %>%\n",
    "    group_by(wiki, is_anonymous, edit_bucket) %>%\n",
    "    summarise(num_events = sum(events),\n",
    "             num_sessions = n_distinct(search_session))\n",
    "\n",
    "\n",
    "editbucket_events_byloggedin"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All logged out users are recorded as having 0 edits as expected."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Edit bucket count events by search location and type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'edit_bucket', 'search_location', 'vector_version' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A grouped_df: 7 × 6</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>edit_bucket</th><th scope=col>search_location</th><th scope=col>vector_version</th><th scope=col>search_type</th><th scope=col>num_events</th><th scope=col>num_sessions</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>0 edits      </td><td>content          </td><td>legacy</td><td>NULL</td><td>266</td><td>22</td></tr>\n",
       "\t<tr><td>0 edits      </td><td>header-navigation</td><td>legacy</td><td>NULL</td><td>432</td><td>76</td></tr>\n",
       "\t<tr><td>1-4 edits    </td><td>header-navigation</td><td>legacy</td><td>NULL</td><td>  5</td><td> 1</td></tr>\n",
       "\t<tr><td>100-999 edits</td><td>header-navigation</td><td>legacy</td><td>NULL</td><td> 18</td><td> 2</td></tr>\n",
       "\t<tr><td>1000+ edits  </td><td>header-navigation</td><td>legacy</td><td>NULL</td><td>  2</td><td> 1</td></tr>\n",
       "\t<tr><td>5-99 edits   </td><td>header-moved     </td><td>latest</td><td>NULL</td><td>  1</td><td> 1</td></tr>\n",
       "\t<tr><td>5-99 edits   </td><td>header-navigation</td><td>legacy</td><td>NULL</td><td> 30</td><td> 5</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A grouped\\_df: 7 × 6\n",
       "\\begin{tabular}{llllll}\n",
       " edit\\_bucket & search\\_location & vector\\_version & search\\_type & num\\_events & num\\_sessions\\\\\n",
       " <chr> & <chr> & <chr> & <chr> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t 0 edits       & content           & legacy & NULL & 266 & 22\\\\\n",
       "\t 0 edits       & header-navigation & legacy & NULL & 432 & 76\\\\\n",
       "\t 1-4 edits     & header-navigation & legacy & NULL &   5 &  1\\\\\n",
       "\t 100-999 edits & header-navigation & legacy & NULL &  18 &  2\\\\\n",
       "\t 1000+ edits   & header-navigation & legacy & NULL &   2 &  1\\\\\n",
       "\t 5-99 edits    & header-moved      & latest & NULL &   1 &  1\\\\\n",
       "\t 5-99 edits    & header-navigation & legacy & NULL &  30 &  5\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A grouped_df: 7 × 6\n",
       "\n",
       "| edit_bucket &lt;chr&gt; | search_location &lt;chr&gt; | vector_version &lt;chr&gt; | search_type &lt;chr&gt; | num_events &lt;int&gt; | num_sessions &lt;int&gt; |\n",
       "|---|---|---|---|---|---|\n",
       "| 0 edits       | content           | legacy | NULL | 266 | 22 |\n",
       "| 0 edits       | header-navigation | legacy | NULL | 432 | 76 |\n",
       "| 1-4 edits     | header-navigation | legacy | NULL |   5 |  1 |\n",
       "| 100-999 edits | header-navigation | legacy | NULL |  18 |  2 |\n",
       "| 1000+ edits   | header-navigation | legacy | NULL |   2 |  1 |\n",
       "| 5-99 edits    | header-moved      | latest | NULL |   1 |  1 |\n",
       "| 5-99 edits    | header-navigation | legacy | NULL |  30 |  5 |\n",
       "\n"
      ],
      "text/plain": [
       "  edit_bucket   search_location   vector_version search_type num_events\n",
       "1 0 edits       content           legacy         NULL        266       \n",
       "2 0 edits       header-navigation legacy         NULL        432       \n",
       "3 1-4 edits     header-navigation legacy         NULL          5       \n",
       "4 100-999 edits header-navigation legacy         NULL         18       \n",
       "5 1000+ edits   header-navigation legacy         NULL          2       \n",
       "6 5-99 edits    header-moved      latest         NULL          1       \n",
       "7 5-99 edits    header-navigation legacy         NULL         30       \n",
       "  num_sessions\n",
       "1 22          \n",
       "2 76          \n",
       "3  1          \n",
       "4  2          \n",
       "5  1          \n",
       "6  1          \n",
       "7  5          "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "editbucket_events_bysearchtype <- search_sessions_weditbucket %>%\n",
    "# review search sessions initated with edit bucket recorded\n",
    "    filter(edit_bucket != 'NULL',\n",
    "            source_type == 'autocomplete',\n",
    "          action_type == 'searchResultPage') %>%\n",
    "    group_by(edit_bucket, search_location, vector_version, search_type) %>%\n",
    "    summarise(num_events = sum(events),\n",
    "             num_sessions = n_distinct(search_session))\n",
    "\n",
    "\n",
    "editbucket_events_bysearchtype"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Edit bucket events are recorded on both vector versions and both search location types. No new search widget events have been recorded since this feature has only been deployed on testwiki and we do not yet have any events there."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Post-Deployment QA to Pilot Wikis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# collect data from SearchSatisfaction for the relevant fields.\n",
    "query <- \n",
    "\n",
    "\"WITH search_sessions AS (\n",
    "-- find search session start date\n",
    "SELECT\n",
    "    min(CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0'))) as search_start,\n",
    "    event.searchSessionId AS search_session,\n",
    "    wiki AS wiki\n",
    "FROM event.SearchSatisfaction\n",
    "WHERE\n",
    "Year = 2021\n",
    "AND useragent.is_bot = false \n",
    "AND event.skin = 'vector'\n",
    "AND wiki IN ('frwiktionary', 'hewiki', 'ptwikiversity', 'frwiki', \n",
    "    'euwiki', 'fawiki', 'ptwiki', 'kowiki', 'trwiki', 'srwiki', 'bnwiki', 'dewikivoyage', 'vecwiki' )\n",
    "GROUP BY\n",
    "event.searchSessionId,\n",
    "    wiki)\n",
    "\n",
    "SELECT\n",
    "    CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')) as event_dt,\n",
    "    search_sessions.search_start,\n",
    "    event.inputLocation AS search_location,\n",
    "    event.searchSessionId AS search_session,\n",
    "    event.action AS action_type,\n",
    "    event.source AS source_type,\n",
    "    event.isAnon AS is_anonymous,\n",
    "    event.extraParams AS search_type,\n",
    "    event.usereditbucket as edit_bucket,\n",
    "    ss.wiki AS wiki,\n",
    "    Count(*) AS events\n",
    "FROM event.searchSatisfaction ss\n",
    "INNER JOIN search_sessions ON\n",
    " event.searchSessionId = search_sessions.search_session AND\n",
    " ss.wiki = search_sessions.wiki\n",
    "    WHERE year = 2021\n",
    "-- Review following bug fix on March 10.\n",
    "    AND MONTH >= 03\n",
    "--deployed at 7:00 UTC\n",
    "    AND HOUR >= 19\n",
    "-- change deployed on 24 Feb 2021 \n",
    "    -- remove bots\n",
    "    AND useragent.is_bot = false \n",
    "    AND event.skin = 'vector'\n",
    "    AND ss.wiki IN ('frwiktionary', 'hewiki', 'ptwikiversity', 'frwiki', \n",
    "    'euwiki', 'fawiki', 'ptwiki', 'kowiki', 'trwiki', 'srwiki', 'bnwiki', 'dewikivoyage', 'vecwiki' )\n",
    "GROUP BY \n",
    "    CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')),\n",
    "    event.inputLocation,\n",
    "    event.searchSessionId,\n",
    "    event.action,\n",
    "    event.source,\n",
    "    event.isAnon,\n",
    "    event.extraParams,\n",
    "    event.usereditbucket,\n",
    "    ss.wiki,\n",
    "    search_sessions.search_start\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Don't forget to authenticate with Kerberos using kinit\n",
      "\n"
     ]
    }
   ],
   "source": [
    "search_widget_sessions_pilotwikis <-  wmfdata::query_hive(query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "search_widget_sessions_pilotwikis$event_dt <- as.Date(search_widget_sessions_pilotwikis$event_dt)\n",
    "search_widget_sessions_pilotwikis$search_start <- as.Date(search_widget_sessions_pilotwikis$search_start)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Search Sessions Initiated by Pilot Wiki"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I reviewed search sessions initiated by pilot wiki to confirm that the split between each group is close to what would be expected with a 50/50 split. \n",
    "\n",
    "Note: There was an initial issue with the instrumentation that resulted in a number of the new search widget sessions to be not be logged. This was fixed on March 10th. See https://gerrit.wikimedia.org/r/c/mediawiki/extensions/WikimediaEvents/+/670459/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'wiki', 'search_location' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A grouped_df: 39 × 4</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>wiki</th><th scope=col>search_location</th><th scope=col>search_type</th><th scope=col>num_sessions</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>bnwiki       </td><td>header-moved     </td><td>NULL</td><td>   58</td></tr>\n",
       "\t<tr><td>bnwiki       </td><td>header-moved     </td><td>WVUI</td><td>   94</td></tr>\n",
       "\t<tr><td>bnwiki       </td><td>header-navigation</td><td>NULL</td><td>  209</td></tr>\n",
       "\t<tr><td>dewikivoyage </td><td>header-moved     </td><td>NULL</td><td>   10</td></tr>\n",
       "\t<tr><td>dewikivoyage </td><td>header-moved     </td><td>WVUI</td><td>   11</td></tr>\n",
       "\t<tr><td>dewikivoyage </td><td>header-navigation</td><td>NULL</td><td>   74</td></tr>\n",
       "\t<tr><td>euwiki       </td><td>header-moved     </td><td>NULL</td><td>  274</td></tr>\n",
       "\t<tr><td>euwiki       </td><td>header-moved     </td><td>WVUI</td><td>  351</td></tr>\n",
       "\t<tr><td>euwiki       </td><td>header-navigation</td><td>NULL</td><td>   63</td></tr>\n",
       "\t<tr><td>fawiki       </td><td>header-moved     </td><td>NULL</td><td>  645</td></tr>\n",
       "\t<tr><td>fawiki       </td><td>header-moved     </td><td>WVUI</td><td> 1386</td></tr>\n",
       "\t<tr><td>fawiki       </td><td>header-navigation</td><td>NULL</td><td> 2067</td></tr>\n",
       "\t<tr><td>frwiki       </td><td>header-moved     </td><td>NULL</td><td> 9447</td></tr>\n",
       "\t<tr><td>frwiki       </td><td>header-moved     </td><td>WVUI</td><td>13522</td></tr>\n",
       "\t<tr><td>frwiki       </td><td>header-navigation</td><td>NULL</td><td>16094</td></tr>\n",
       "\t<tr><td>frwiktionary </td><td>header-moved     </td><td>NULL</td><td>  727</td></tr>\n",
       "\t<tr><td>frwiktionary </td><td>header-moved     </td><td>WVUI</td><td> 1193</td></tr>\n",
       "\t<tr><td>frwiktionary </td><td>header-navigation</td><td>NULL</td><td>  619</td></tr>\n",
       "\t<tr><td>hewiki       </td><td>header-moved     </td><td>NULL</td><td>  386</td></tr>\n",
       "\t<tr><td>hewiki       </td><td>header-moved     </td><td>WVUI</td><td> 2142</td></tr>\n",
       "\t<tr><td>hewiki       </td><td>header-navigation</td><td>NULL</td><td> 1311</td></tr>\n",
       "\t<tr><td>kowiki       </td><td>header-moved     </td><td>NULL</td><td>  199</td></tr>\n",
       "\t<tr><td>kowiki       </td><td>header-moved     </td><td>WVUI</td><td>  403</td></tr>\n",
       "\t<tr><td>kowiki       </td><td>header-navigation</td><td>NULL</td><td>  794</td></tr>\n",
       "\t<tr><td>ptwiki       </td><td>header-moved     </td><td>NULL</td><td> 1935</td></tr>\n",
       "\t<tr><td>ptwiki       </td><td>header-moved     </td><td>WVUI</td><td> 3936</td></tr>\n",
       "\t<tr><td>ptwiki       </td><td>header-navigation</td><td>NULL</td><td>10495</td></tr>\n",
       "\t<tr><td>ptwikiversity</td><td>header-moved     </td><td>NULL</td><td>   14</td></tr>\n",
       "\t<tr><td>ptwikiversity</td><td>header-moved     </td><td>WVUI</td><td>   11</td></tr>\n",
       "\t<tr><td>ptwikiversity</td><td>header-navigation</td><td>NULL</td><td>   20</td></tr>\n",
       "\t<tr><td>srwiki       </td><td>header-moved     </td><td>NULL</td><td>  209</td></tr>\n",
       "\t<tr><td>srwiki       </td><td>header-moved     </td><td>WVUI</td><td>  517</td></tr>\n",
       "\t<tr><td>srwiki       </td><td>header-navigation</td><td>NULL</td><td> 1812</td></tr>\n",
       "\t<tr><td>trwiki       </td><td>header-moved     </td><td>NULL</td><td>  682</td></tr>\n",
       "\t<tr><td>trwiki       </td><td>header-moved     </td><td>WVUI</td><td> 1418</td></tr>\n",
       "\t<tr><td>trwiki       </td><td>header-navigation</td><td>NULL</td><td> 4529</td></tr>\n",
       "\t<tr><td>vecwiki      </td><td>header-moved     </td><td>NULL</td><td>    7</td></tr>\n",
       "\t<tr><td>vecwiki      </td><td>header-moved     </td><td>WVUI</td><td>   44</td></tr>\n",
       "\t<tr><td>vecwiki      </td><td>header-navigation</td><td>NULL</td><td>  159</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A grouped\\_df: 39 × 4\n",
       "\\begin{tabular}{llll}\n",
       " wiki & search\\_location & search\\_type & num\\_sessions\\\\\n",
       " <chr> & <chr> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\t bnwiki        & header-moved      & NULL &    58\\\\\n",
       "\t bnwiki        & header-moved      & WVUI &    94\\\\\n",
       "\t bnwiki        & header-navigation & NULL &   209\\\\\n",
       "\t dewikivoyage  & header-moved      & NULL &    10\\\\\n",
       "\t dewikivoyage  & header-moved      & WVUI &    11\\\\\n",
       "\t dewikivoyage  & header-navigation & NULL &    74\\\\\n",
       "\t euwiki        & header-moved      & NULL &   274\\\\\n",
       "\t euwiki        & header-moved      & WVUI &   351\\\\\n",
       "\t euwiki        & header-navigation & NULL &    63\\\\\n",
       "\t fawiki        & header-moved      & NULL &   645\\\\\n",
       "\t fawiki        & header-moved      & WVUI &  1386\\\\\n",
       "\t fawiki        & header-navigation & NULL &  2067\\\\\n",
       "\t frwiki        & header-moved      & NULL &  9447\\\\\n",
       "\t frwiki        & header-moved      & WVUI & 13522\\\\\n",
       "\t frwiki        & header-navigation & NULL & 16094\\\\\n",
       "\t frwiktionary  & header-moved      & NULL &   727\\\\\n",
       "\t frwiktionary  & header-moved      & WVUI &  1193\\\\\n",
       "\t frwiktionary  & header-navigation & NULL &   619\\\\\n",
       "\t hewiki        & header-moved      & NULL &   386\\\\\n",
       "\t hewiki        & header-moved      & WVUI &  2142\\\\\n",
       "\t hewiki        & header-navigation & NULL &  1311\\\\\n",
       "\t kowiki        & header-moved      & NULL &   199\\\\\n",
       "\t kowiki        & header-moved      & WVUI &   403\\\\\n",
       "\t kowiki        & header-navigation & NULL &   794\\\\\n",
       "\t ptwiki        & header-moved      & NULL &  1935\\\\\n",
       "\t ptwiki        & header-moved      & WVUI &  3936\\\\\n",
       "\t ptwiki        & header-navigation & NULL & 10495\\\\\n",
       "\t ptwikiversity & header-moved      & NULL &    14\\\\\n",
       "\t ptwikiversity & header-moved      & WVUI &    11\\\\\n",
       "\t ptwikiversity & header-navigation & NULL &    20\\\\\n",
       "\t srwiki        & header-moved      & NULL &   209\\\\\n",
       "\t srwiki        & header-moved      & WVUI &   517\\\\\n",
       "\t srwiki        & header-navigation & NULL &  1812\\\\\n",
       "\t trwiki        & header-moved      & NULL &   682\\\\\n",
       "\t trwiki        & header-moved      & WVUI &  1418\\\\\n",
       "\t trwiki        & header-navigation & NULL &  4529\\\\\n",
       "\t vecwiki       & header-moved      & NULL &     7\\\\\n",
       "\t vecwiki       & header-moved      & WVUI &    44\\\\\n",
       "\t vecwiki       & header-navigation & NULL &   159\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A grouped_df: 39 × 4\n",
       "\n",
       "| wiki &lt;chr&gt; | search_location &lt;chr&gt; | search_type &lt;chr&gt; | num_sessions &lt;int&gt; |\n",
       "|---|---|---|---|\n",
       "| bnwiki        | header-moved      | NULL |    58 |\n",
       "| bnwiki        | header-moved      | WVUI |    94 |\n",
       "| bnwiki        | header-navigation | NULL |   209 |\n",
       "| dewikivoyage  | header-moved      | NULL |    10 |\n",
       "| dewikivoyage  | header-moved      | WVUI |    11 |\n",
       "| dewikivoyage  | header-navigation | NULL |    74 |\n",
       "| euwiki        | header-moved      | NULL |   274 |\n",
       "| euwiki        | header-moved      | WVUI |   351 |\n",
       "| euwiki        | header-navigation | NULL |    63 |\n",
       "| fawiki        | header-moved      | NULL |   645 |\n",
       "| fawiki        | header-moved      | WVUI |  1386 |\n",
       "| fawiki        | header-navigation | NULL |  2067 |\n",
       "| frwiki        | header-moved      | NULL |  9447 |\n",
       "| frwiki        | header-moved      | WVUI | 13522 |\n",
       "| frwiki        | header-navigation | NULL | 16094 |\n",
       "| frwiktionary  | header-moved      | NULL |   727 |\n",
       "| frwiktionary  | header-moved      | WVUI |  1193 |\n",
       "| frwiktionary  | header-navigation | NULL |   619 |\n",
       "| hewiki        | header-moved      | NULL |   386 |\n",
       "| hewiki        | header-moved      | WVUI |  2142 |\n",
       "| hewiki        | header-navigation | NULL |  1311 |\n",
       "| kowiki        | header-moved      | NULL |   199 |\n",
       "| kowiki        | header-moved      | WVUI |   403 |\n",
       "| kowiki        | header-navigation | NULL |   794 |\n",
       "| ptwiki        | header-moved      | NULL |  1935 |\n",
       "| ptwiki        | header-moved      | WVUI |  3936 |\n",
       "| ptwiki        | header-navigation | NULL | 10495 |\n",
       "| ptwikiversity | header-moved      | NULL |    14 |\n",
       "| ptwikiversity | header-moved      | WVUI |    11 |\n",
       "| ptwikiversity | header-navigation | NULL |    20 |\n",
       "| srwiki        | header-moved      | NULL |   209 |\n",
       "| srwiki        | header-moved      | WVUI |   517 |\n",
       "| srwiki        | header-navigation | NULL |  1812 |\n",
       "| trwiki        | header-moved      | NULL |   682 |\n",
       "| trwiki        | header-moved      | WVUI |  1418 |\n",
       "| trwiki        | header-navigation | NULL |  4529 |\n",
       "| vecwiki       | header-moved      | NULL |     7 |\n",
       "| vecwiki       | header-moved      | WVUI |    44 |\n",
       "| vecwiki       | header-navigation | NULL |   159 |\n",
       "\n"
      ],
      "text/plain": [
       "   wiki          search_location   search_type num_sessions\n",
       "1  bnwiki        header-moved      NULL           58       \n",
       "2  bnwiki        header-moved      WVUI           94       \n",
       "3  bnwiki        header-navigation NULL          209       \n",
       "4  dewikivoyage  header-moved      NULL           10       \n",
       "5  dewikivoyage  header-moved      WVUI           11       \n",
       "6  dewikivoyage  header-navigation NULL           74       \n",
       "7  euwiki        header-moved      NULL          274       \n",
       "8  euwiki        header-moved      WVUI          351       \n",
       "9  euwiki        header-navigation NULL           63       \n",
       "10 fawiki        header-moved      NULL          645       \n",
       "11 fawiki        header-moved      WVUI         1386       \n",
       "12 fawiki        header-navigation NULL         2067       \n",
       "13 frwiki        header-moved      NULL         9447       \n",
       "14 frwiki        header-moved      WVUI        13522       \n",
       "15 frwiki        header-navigation NULL        16094       \n",
       "16 frwiktionary  header-moved      NULL          727       \n",
       "17 frwiktionary  header-moved      WVUI         1193       \n",
       "18 frwiktionary  header-navigation NULL          619       \n",
       "19 hewiki        header-moved      NULL          386       \n",
       "20 hewiki        header-moved      WVUI         2142       \n",
       "21 hewiki        header-navigation NULL         1311       \n",
       "22 kowiki        header-moved      NULL          199       \n",
       "23 kowiki        header-moved      WVUI          403       \n",
       "24 kowiki        header-navigation NULL          794       \n",
       "25 ptwiki        header-moved      NULL         1935       \n",
       "26 ptwiki        header-moved      WVUI         3936       \n",
       "27 ptwiki        header-navigation NULL        10495       \n",
       "28 ptwikiversity header-moved      NULL           14       \n",
       "29 ptwikiversity header-moved      WVUI           11       \n",
       "30 ptwikiversity header-navigation NULL           20       \n",
       "31 srwiki        header-moved      NULL          209       \n",
       "32 srwiki        header-moved      WVUI          517       \n",
       "33 srwiki        header-navigation NULL         1812       \n",
       "34 trwiki        header-moved      NULL          682       \n",
       "35 trwiki        header-moved      WVUI         1418       \n",
       "36 trwiki        header-navigation NULL         4529       \n",
       "37 vecwiki       header-moved      NULL            7       \n",
       "38 vecwiki       header-moved      WVUI           44       \n",
       "39 vecwiki       header-navigation NULL          159       "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "search_sessions_ab_test_pilot <- search_widget_sessions_pilotwikis %>%\n",
    "# review search sessions initiated that meet AB bucketing criteria\n",
    "    filter(\n",
    "         search_location %in% c('header-moved', 'header-navigation'),\n",
    "        # exclude long running search sessionst that started prior to deployment\n",
    "         search_start >= '2021-03-10',\n",
    "        is_anonymous == 'false',\n",
    "         source_type == 'autocomplete',\n",
    "         action_type == 'searchResultPage') %>%\n",
    "    group_by(wiki,search_location, search_type) %>%\n",
    "    summarise(\n",
    "             num_sessions = n_distinct(search_session)) \n",
    "\n",
    "search_sessions_ab_test_pilot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Daily Search Sessions By Search Type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'event_dt' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
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w+Pbt26paSkzJs3z8Ay6ubsC0AXZ3q6EwAAAAAA0KGYnu4EAAAAAAB0KBDYAQAA\nAADYCQjsAAAAAADsBAR2AAAAAAB2AgI7AAAAAAA7AYEdAAAAAICdgMAOAAAAAMBOwPLJnL3y\nyit37tyxdS0AAAAA0EVNnTpV31rJENhxlpWVxePxwsPDbV0RG8NxnCRJgQAuITaCIDAMwzDM\n1hXpWEiSxHGcx+PxeHbeUdBFLgC4A1BIkiQIgs/n27oiNtZ1PuBcWfwKIUnyzp07OTk5+gp0\n9c+kacLCwnbt2mXrWtiYVCpVqVReXl52/wXGlUKhEAgEDg4Otq5Ix6JSqaRSqZOTk4uLi63r\nYl1yuVwkEolEIltXxLoaGhpwHPfy8rJ1RWwMx3G5XO7m5mbrithYS0tLY2Oji4uLk5OTrevS\nsVj8ClGpVEOGDDFQACJrAAAAAAA7AYEdAAAAAICdgMAOAAAAAMBOQGAHAAAAAGAnILADAAAA\nALATENgBAAAAANgJCOwAAAAAAOwEBHYAAAAAAHYCAjsAAAAAADsBgR0AAAAAgJ2AwA4AAAAA\nwE5AYAcAAAAAYCcgsAMAAAAAsBMQ2AEAAAAA2AkI7AAAAAAA7AQEdgAAAAAAdgICOwAAAAAA\nOwGBHQAAAACAnYDADgAAAADATkBgBwAAAABgJyCwAwAAAACwExDYAQAAAADYCQjsAAAAANAZ\n4Lita9AJcAjsBg0atHXrVplMZr3aAAAAAACwkPV1qq83tbyzuHX9+8T9O7auTofGIbBLS0t7\n6aWX/P39586de/bsWZIkrVctAAAAAACKeu8uIj8PURHerm9JhcLWNeq4OAR2o0aNwjBMqVTu\n2rUrJSWlZ8+e69atKy0ttV7lAAAAANDFkTVVVFT3j5YWIivDdtXp6DgEdqdOnXrw4MF7770X\nFhaGEMrLy1uxYkVYWNjEiRMPHDigUqmsVkkAAAAAdFFEViZrC34tzSY16RS4TZ7o1q3bBx98\nkJ+ff+LEiTlz5jg6OuI4/scff0yfPj0oKGjJkiW3bt2yUkUBAAAA0AXhN9iBHVlcSFZX2qQy\nHZ8ps2IxDBszZsyePXvKy8u3bNkyYMAAhFB1dfWnn34aHR09ZMiQb775prGx0dJVBQAAAEDX\nQpaVkpUV2tvxa+ntX5lOwax0J+7u7i+//HJaWlp2dvbixYt9fHwQQpcvX54/f35AQMBzzz13\n5coVC9UTAAAAAF0Ofl33cDoiMw3BJE5dLJPHrmfPnkOGDImLi6O3KBSKnTt3Jta7u9MAACAA\nSURBVCYmpqSkZGdnW+RZAAAAANCFkCRxnd0P+88j9XVEYX47V6dTEJi5f1ZW1nfffbd79+66\nujpqS2Bg4DPPPOPs7Lxz5868vLyzZ88OHjw4NTWV6rEFAAAAADAGUVRA1tfpfTTzKq9b9/as\nT6dgYotdXV3d5s2b+/Xr169fv82bN9fV1fH5/EmTJh0+fLioqGjdunUrV668f//+oUOHQkND\nlUrlO++8Y9l6AwAAAMC+EXr6YSn4jSykVrdbZToLbi12BEEcP358x44dhw8fbmlpoTaGh4e/\n8MILzz33XGBgILMwhmFTpkzx8vJKTk5OT4dBjgAAAAAwGkEQN7I0tjg6oubmh/9VNhG3c3ix\n8e1crw6OQ2C3cuXK77//vqSkhPqvg4PD1KlT582bN3r0aAzD9O1F9cDW19ebWVEAAAAAdB3E\ng1yyUWMVU8GER9XHjqBmJb0Fv5YOgR0Lh8Bu7dq11B/R0dEvvPDC3Llzvby82txLKBQGBQWZ\nWDsAAAAAdEns5SUEAn7fBLKoAM+4+rDMnZukQoG5uLR35TowDoGdi4vLrFmz5s2bl5SUZPxe\nfD6fbuQDAAAAAGgbjuM3rzM38Hr1QU5OvP6DmIEdwnEi+xo/cVh7V68D4xDYlZeXu7q6Wq8q\nAAAAAAAIIeLebdTUxNzC79sfIcSL6Im5uZPShoclM9MgsGPiMCsWojoAAAAAtAOctT6sSMTr\nHYMQQhjGi09gPkIU5pM1Ve1YtY7OMgmKAQAAAAAsQ9VK3NJY2oDXJw6JRNTf/IRBrOLs0Xhd\nG+cExTKZ7Pvvvz9x4sTdu3elUqlaTwqZmpoas+sGAAAAgC6HuJWDWluYW/jx/em/Mb8ALCCI\nLC+lt+CZafzRjyD9CTq6FG6B3cWLF6dPn15RoWM5XhM8ePAgKyvr/v379+7dq66uRght3rw5\nLCxMu+SqVat0ZsKbPHnyiy++yNqI4/hvv/12+vTp8vJyBweH3r17z549u2fPntq7G18SAAAA\nAO0DZy0j5uTM6xnF3MDvP1B99GFgR9bWEMWFvNBu7VK7jo5DYFdRUfHoo4/W1tZGRETMmjXr\nyy+/lMlk69ata2houHHjxqlTp1QqVa9evZ599lkjD7h///5z584ZX4GQkBAnJyfmFj8/P1YZ\nHMdXr16dmZnp5OQUExMjk8muXr2akZHxzjvvDBw40LSSAAAAAGgnzc3E3dvMDfzYvkigEa7w\n4hPQsd8QQdBbiMw0COwoHAK7zZs319bW9urVKz09XSwW//DDDzKZbPny5dSjpaWlL7744rFj\nx8rKyj7//HNjDtizZ8+AgICePXv26NHjtddea2xsNFx+4cKFffr0MVzmyJEjmZmZYWFha9as\ncXNzQwidO3fu448/3rhx4zfffOPCSHVjfEkAAAAAtA885zpSq5hbeH0TWGUwiRsvIpK4f+fh\nXtczBJMeY8V/XROHyRPHjh1DCC1ZskQsFms/GhQU9Ntvvw0fPnzz5s1Hjx415oBTp0596qmn\nBg8ebEyiY2OQJHnw4EGE0Msvv0zFagih5OTkpKQkuVz+119/mVASAAAAAO2GtT4sJnblde+h\nXYzXX7NvramJuHdbu1gXxCGwy8vLQwgNHTqU+i+1jJhK9TCsFggEH3zwAULo66+/tmQdjXb/\n/v36+npvb29Ww15ycjJC6PLlyyaUBAAAAED7IBVyIvcecwuvbz/E0xGr8GP6IpEDcwuemWbd\nynUSHBotFQoFQsjf35/6r6OjI0JIJpMx29v69++PEMrIsMrE4yNHjvz0008EQfj4+PTv33/o\n0KF8Pp9ZID8/HyEUERHB2pGaD1FQUECSJBWPGl8SAAAAAO2DuHGNOXIO6eqH/YdIxIuOJa49\nnFhJ3L6JlEqkORa/C+LQYkd1WUqlUuq/3t7eCKH79+8zy8hkMmS1XCcXLly4fv16dnb26dOn\nN2zY8MYbb1BzaWlVVVV0xZio0LO5uZkexmd8SQAAAAC0D0JzPizm7mFgSgSf1RurVuHZ16xT\nr86EQ4tdZGTk5cuXy8vLw8PDEUJxcXGXL18+cuRIYmIiXeb3339HCHl6elq2ln369ElKSurT\np4+3tzc1CXfXrl35+flr1qzZuHEj799GWqVSif5tSmTi8/lCoVClUimVSolEwqkkZceOHWlp\n/7TxqtVqHMfpALfLolIYUqE8YMJxvLW1tbm52dYV6VhIkkQItbS06Et+aTdwHKfuIbauiHXh\nOE6SJNwJSZKEbwSEEEEQCKHm5ubW1laTD4LJpA4FD5hbVL1jlAa+ZXwDHFxdMUZDTOvVS629\nok2ugDVY/AphDoHTiUNgN2rUqMuXL6enpyclJSGEHnvssW3btn3yySfdu3efOXOmWq0+cuTI\n22+/jRAaOXKkOZXWNmPGDPpvX1/fMWPGxMfHv/baa/n5+RcvXhw2TGOROJ1dqNSXCovxJfPy\n8q5evUrvRZJkm2e2i4DzoA+O47auQkdEEASh2c9ir7rIBQB3AAqcBwqO4+Zc+aKc60jzK7g1\nsg9u8NzyekWL0h8Oi+eVFOE11YSbu8l1sBILXiGWDOwmT568bt26X3/99bXXXkMIjR8/PiUl\n5cyZM/PmzZs3bx5dzMnJacWKFaZV13je3t6jR48+fPhwdnY2HdhRWe60fyjjOE41EtBp8Iwv\nSVmxYsVbb71F/T1+/HiBQGCpmbydl0wmU6lUnp6eMBiRpampic/nOzg4tF20K1GpVDKZzMnJ\nydnZ2dZ1sS6FQiEUCkX/Ln9kr6RSKY7jFu+f6XRwHFcoFMwenq6ppaVFLpc7Ozs7mTHETXX/\nDjOsw3z83Hu3keOMTEpWMQI7RJKSgjz+qHEm18HiLH6FWDKwGzRo0K+//kr3e2IYdvDgwWef\nffbw4cN0mdDQ0B07dsTExJhQV64CAgIQQg0NDfQWHx8fpGuEX21tLULI0dHR1dWVa0mKk5MT\nfbFScQxEMxQMw+BUaIPToo0+IV3hzHSdC6CLvEwD4BuBQp8Hk08FWVtDlhYzt/Dj+7d5NCwo\nBPMPJCvK6C1E5lXB6PGm1cEaLH6FtHkoDoEdj8ebPn06c4u7u/uhQ4fy8/MzMjKUSmW3bt0S\nExOFQqEpNeWO6rFm/jjo3r07+jctCxM1w6Nbt2706TC+JAAAAACsjchiLxzKi+uvsyQLv1+C\n+tjDwI6sqSZLirDgUEtWrlOxQI7m8PBwajpFe1KpVKmpqQihyMhIemPPnj09PDxqampu3brF\nTFBHLVzGnORhfEkAAAAAWBtrfVgsMBjzZa8aqhMvfgD683fm4Dw8M03QhQM7DulObOXGjRsH\nDx5kzigpLy9ftWpVaWmpq6trSkoKvR3DsClTpiCEvvrqK7r8uXPnLl686OLiMm7cOBNKAgAA\nAMCqyPJSsrKCuYUfryd9nRbM3YO1NAV+MVX11Wf4+TOkQmGxKnYetlxVLTMzc8+ePdTfTU1N\nCKFPPvmEGnGclJQ0bdo06qG6urodO3bs3LnTz89PIpHU1dXV1taSJOni4vLOO++wBmJPmTLl\n+vXr165dW7BgQe/evaVSaW5uLo/HW7x4MWslNONLAgAAAMB6WM11CMN4cf2M353XfyCRx8iq\nS5JEwQOi4AE6doTXJ4bffyAvsjfSXNHAjhkK7FauXGnycdesWdNmGZlMdu+exsohBQUF1B/U\nGDhKVFTUtGnTbt68WVlZWV1dLRQKw8LC+vfvP3nyZO2pqXw+/7333jt8+PDp06ezs7NFItGg\nQYNmzZrF7LHlWhIAAAAA1kKSrLzEvNBumAeHCdf8mHj1oV+RSiuFnlpF3LhG3LiGubjw4vrz\n+g80kO7YbmA607b985gZEwgMHLazS0pKCg8P3717t60rotctRdOuyupWknjGzzdO7GKlZ5FK\npSqVysvLCyaasCgUCoFAAOlOWFQqlVQqdXJycnGx1jXZQcjlcpFIZPfpThoaGnAch8RPOI7L\n5XJqZaaurKWlpbGx0cXFxYR0J2RpcevnHzO3CKbM4CcN53QQ9R+/4WdPtlkM8/bh9x/EH5aC\n2usWbfErRKVSDRkypH///tu2bdNZwFCLXVBQkPZGmUxGL7fl4uIiFovlcrni325sV1dXSOdj\nQ9mKpjWFxb9W1VAZYL8srTgbHzNY4trGbgAAAICN4NlZGv/HMF5sPNeDCCZMxtzd8cvnWWP1\nWMiaavXxo/itbNEri+21c9bQ5IkSLVu3buXz+X5+fps2bSoqKpLL5RUVFXK5vKioaOPGjb6+\nvnw+f9u2bSUlJe32AgAlS66YlnOnb9q1ff9GdQihFoLYUFxqy2oBAAAABhE515n/5XXrjrly\nbyHCMH7ScNEb74jeWM5PGWP4CGRJEZ5+hfNTdBIcJk/k5OTMnDkzMDDw/Pnz/v7+zIdCQkIW\nLVo0a9as5OTkGTNmpKenM3OIAKtKb5SvLiw+UlOns/P7ZL0UJ0k+9JYCAADoeMiKcrK6irmF\nF9PXnANifgGCCY+i8ZOI+3fxa2nEzRtI1/K1+N/H+QMG22WjHYd0J//73/+USuWGDRtYUR0t\nMDDw448/ViqVH3/8sc4CwLKy5IpZN+8Oyrj+m56oDiHUoFanN8rbtVoAAACAcVjNdQjDzAzs\n/sHj8Xr1Fj4+1+HdtYJZT/F6RiGeRsBD1tfhGfbZaMehxe7MmTMIIWbeOG0jR45ECJ06dcqs\nSoG2XJDKVhcW/1XX0HZRhI7XN8AwOwAAAB0QnqMxwA4LDsXcPSz5BCIHfsIgfsIgsra6deN6\nxFhoFT99nJ9gh412HFrsqqqqUFvTXalHqZLAGpQEMefW3WHXsg1EdULNjteT9UbFf5zcbVL+\nXNfwXW19aYuOJm4AAACgTWRNNVlextzCj7VEc50umJcPf1CSxrPX1+EZV630dDbEIbCjprWf\nPGloOjH1qKcnh/QzwHiNOP6fG7d+rqrRV2CIxPWPuD4rwkKYGy9JG+U4buZTNxPEBanso6LS\nKTm3fS9cjbqa+VJhydvlVdHp1zKgqxcAAAB3hGZzHTJ7gJ1h/JFjkeZy9vjpv5DZ348dDYfA\nbtSoUQihpUuXFhcX6yxQWFj45ptvIoRGjx5tkcoBpnq1euz1m2capDofHeYmOd43+mL/uAme\nHmM93JkPqUhS316GVbWqDtfULc0rGHrthvv5K8OuZb/9oOC3mrpqRlO2TI2/9aDAhIMDAADo\n4vBsjQF2WEAQ5uVjvafDXCVdodGOQ2C3fPlyoVBYWFjYt2/ftWvX3rx5U61WI4TUavXNmzfX\nrFkTHx9fXFwsFAqXL19utQp3UVWtqlFZOVdkjdoPpbi7nY6POdcvlo7nBknEbgKNQQMn67kF\ndr9U18SmXfO7eHVqzu0NxaUXpY0tBKGv8N/10ntNSk7HBwAA0MWRDfVkqUY7kfX6YR8+RRdo\ntOMQ2EVHR+/evVsoFNbX169cuTImJkYkEjk5OQmFwpiYmHfffbehoUEoFO7evRtynVhWaUvr\niKzsLDl7MeMhEtez8bF/x8eMdNdIaS3AsBTNLSe4DLNLa5TPuXUvR9FkZHkSoW/KK40/PgAA\nAEBkZyHNUfu8GM55ibnCXCX8QUOYW8j6OjzTrhrtOAR2CKGZM2emp6ePHTuWWkWKJMnm5mbq\nIQzDxo4dm56ePnPmTMtXswvLb24enpV9R6tJbJKX5+n4mOHuunMwsnpjbymajJ/lsLWsAue4\nItz3FVUGmvQAAAAAFlaiE8zbF/PTnUzNsvgjx7Eb7U7ZVaMdh3QnlLi4uOPHjxcXF1+4cKGg\noEAul4vF4m7dug0dOjQkJKTt/QEXd5qUY6/nlGjFZLN8vX/sHSnUn3aYFdghhE7WNzzj79vm\nM7YS5MGaWn2PCjGsv6s4SeLaSpJflpbT26tVqoM1dY/7erd5fAAAAIBslBGF+cwtvDirN9dR\nMFcJf+AQ/GLqw8rU1+GZV/kDhxjYqxPhHNhRQkJCHn/8cctWBbBclyvG3bhZ1apibX/W33d7\nrx6GF5OIdHYKc3QobG6ht5wwLrA7Ud9Qp1Izt3gKBUMkrkkSyTA3yUCJ2InHQwg14vjO8koF\no5VuW1kFBHYAAACMQeRcZ/XD8q05H5aFP2ocnnZJI6fdqb/4/QfZR047bl2xoN1clclHXc/R\njuoWBgV8F9XTmCXCxmg22p2sbzCme3WvZi4VFz6/KHHA77F93gkLHu4ucfo3c7crnz/TU+P4\nZxpgCgUAAACjsPthPTyxwOB2e3aq0Y65hayvwzPT2q0CVgWBXUeU2iAbcz2H1XKGEHo7NPiL\nnt2NXPaV1Rtb2arK1pp+wdJMEIdrNfphJ3l5uOj5BfOsl0Zy8M44heJ2k3LBvbxHbtzcUFyq\n5jisEAAAgAaj76Jkk4J4kMvcwovpi9p3TXN+ylgksM/psRDYdTh/1TVMyL7ZqHV5rQ4PXd89\nzPjjjPZwY727bc6N/aO2XqbWeN7Z+ntX452d+jo5Mrfs7DxTKAqbW56/cz827dq2soq/6hqW\n5hW8Ddn4AADAJGR1Jdq22XXDamzLp2RJUZvliVvZSPPLghfbTgPsaJibG39gInMLWVdrH412\nENh1OA+am5W4xhWPIbSxR/jKMG5zU7yFwnhXMXNLm4Hd3mqNfliJgD/B09CafXM9NJKq1KhU\nB/RPvOggKltVr+c+6HU1c0dFFXPy77ayylYCGu0AAIAbsr5OtXUzKilCCGFVlaodW0m5jpSr\nTAQrL7HEjRfazXo11Ic/ciwSaMw0wP8+jjpJ84QBENh1OC8H+q/v3o3+Lw+hrb16LAoONOFQ\nrN7Yc1KZgRY1BY7/XlvH3DLV28uRZ+gKmeYucdXsqN1W1nF7YxvU6pX5hT2uZHxeUq59HuQ4\nfqWxjZsRAAAAJlKhUH27hWyUPdwib1T/+pOhfZqbidy7zA286Lh27oelYG7u7JF2tTV2kNMO\nAruO6K3QoHfDQhBCfAz7LqrniwF+ph1njGaLWhNOXNS1dgXlcE1dk2ZLYZuzXMU83hw/jeVf\nzjRIb3e8KRRNOLGppKzX1cy1hSUGls09zXF9DgAA6NJUKvX328jqKtZm4nYOnnZJ30747Ryk\n1hhB3m6JTrTxR4/XGmnX6RvtILDroFaFh74dGvxLdC9jcpToM8zt4TxWyvE6vb2x+zT7YT2F\ngjFayfC0vahVvW870hQKFUluKS3vcSVjUW6+9hRjltMNHNbnAACALo0gVLt3sHLR0dRHDpB1\nukfmsOfDuoh53SIsXz3jYK4S9ki7zt9oB4Fdx7W+e9hj3l7mHMGRx0vWXJripJ5hdlI1/qdm\nzDfN28tAAmRagqt4gOZIvo6zCsXZBmnU1cyF9x+Ut+pedYPV0XxFJme1WQIAANCBJNUH9hK3\nc/QWaGlR792lo+lL1Urcu83cwIuOQwbH/FgbP2UMe6RdJ2+043A2xWKxs7Pz9u3brVcbYHGs\nYXaZjfJarSwqCKFDNbWsaMz4bMPzAzUWgTF+CoUcx41f6IyrapVqcvbtB8pmnY8GOYi+joz4\nI05jUeMWgrggk+ksDwAAgKY+eUxHZ6tmWwBR8AA/d5pVhLhzC2n+0ubFxFmhghxg7h46Rtql\nnmIOHOxcOKw8oVKpWltbBwwYYL3aAItjdacSCJ2qb5ilFbSx8hL7iYQp7m7IOHN8vZfk5jPz\ns2wrq5zj62NgF4TQ2sKS1YXFLQQxROJ6ICbKXyQy8umM9FtNnXbKGISQl1CwLDR4YVCAE4/X\nSpAufL6CUex0vVR7NTYAAAA0/MoF/OSf7K3hPZR9Yp2OHmRuUx//gxfZBwt4OPkPz7mhsZeT\nE69HL2tV1Gj8lDF42iXmyD/1sSPo2BHk7Mzz9cf8/DH6X7dO8AXBIbALCAgoLCzEbDF1BZis\nr9jFVyRkDi87qRXY1arUrC7aGT7exixuQRHz+U/4+Wwtq6C3nG2Q3m1S9nJ20rfLOw8KPywq\nof6+JGtcklewu3ekkU9npPNS9o8tVz5/cUjgkuAgieCfmbwiHjbMzfUvRh/06YYGhDgkCwQA\ngC6FuJWtPvQLayMWGETOeUatUqHiQnQj8+EDarVq7w+i/775T1+nWk3c0ei95feO6QireGHu\nHvwBifjl8+wHmpqIggeo4MHDLY5OPF9frFsEf9hIzM3Y5o92xqErdvTo0QihK1euWK0ywPIw\nrUY77Wx2+6trVJoZww3kJdZpvua8XRKhbeUV+gr/X0ERHdVRfqupU1l64QdWYDfKwy0vMeGD\nbqF0VPfPdneNk5PRqJCq7SHzOAAAWBxRmK/as5M1/gzz8BQ+/zJydEQIkf+ZgrlrLkpUXqY+\n/sc/u+feRc0aw2N47bg+rGHaOe10a1YSRYV46mnVlk9Zr6Xj4BDYLVmyxMnJaf369XV1dW2X\nBh0GK7AraG65r9TISMLKSxzsIBoq0Zhy0ab+WlMofqio1jmFYk1h8aqCYtZGOY5f1p+HxQQV\nra25mqPrnvD18REKtUuO0swIg5NkqhSSngAAABtZVanauRWpNNILYM4uwhdewVz/+cogHR0F\nM59kDbbDU08R+XlIKy8xEjnwIntbt9JGw9w9+EnDjS9PNtTjGR108iyHwK5Pnz579+6tra1N\nTEzcv39/c0eNVQGL9qCxk4yEbRWtrWcbNBq3Zvl687j3t2tPodhfzZ5Csb6o5N183avN6Juu\na5rzUnaYOMxNd6jaT+zirvkrDbLZAQAACymTqr77CjU1aWwVigTPzsd8NJJe8XpE8oeO0NyZ\nVO/7ETU1EbeyNUpG9UG6fm/bimDCo4Lxk7CAIKOa7hDC0y9bu0qm4TDGLiYmBiHk6Oh4//79\nGTNmCASC4OBgFxcXnYVzcvTPggbtK9hBFOXsdIeRN/hEXcPL/8Zh+6pqcc1u0Mfbmveg0xxf\n7zfz8plLzW4rr3yCkb74s5Ky5Q8K9e1+sr7hg26hJjyvTqx+WB+hMFLPgD8+ho1wlxyuedgI\n/XcDBHYAAMDQrFR99xVZr9lZx+MJn3yWFxauXVzwyGTi3m2y6mFOU7KutvWbL8gmBbMYv8P0\nw/6Dx+OPGscfNQ4RBFlXS1aUk9WVRGU5WVVJVlWwmioRQmRZCVlWigUG2aSyBnAI7G7evMn8\nr1qtLigosHB1gHWM9XBnBnZ/N0jVJCnAMITQ3upqZsnuTo6sTlUjifn8Ob7sKRS3FE19XJwR\nQp+XlC/O1Z3HknJVJpeqcTeBZUbRsgK7ZHeJgSbIke5uzMDuhlxRrVLp7LcFAIAuSLX3R7K8\njLVR8NhsXu8Y3TsIhcLH57Z++Sli5BwgyzSGViOBkBcVbeGKWgqPh3n7YN4+CKF/vpNIkqyv\nI4sKVD//gBhNIXj6ZcGj021TSf04BHYLFy60Xj2AVY31dN9cWk7/t0GtTm+UJ0pci1taLmn2\nWs7y8TZ52vOCQH9mYIcQ+rai8pOI8C9LyxflPmAVduXzmelI1CR5tkH6qLenqU/+kBzHr8s1\nfhcmSVwNlB+t2VVNInSmQTrTh9v0EQAAsEtko4zVhYoQEoydwB80RGd5ChYUIhg9np42oY0X\nGYUcHCxTxXaAYZinF+bpxbt8nhovSCGy0tHEqR1hYi8Th8Duiy++sF49gFWluLsJMYw58/RE\nfUOixHVfVQ1rMirX+bBM/cQuA13FaY1yesv3FVVhDo6Lch+wnsVXJDzZN2b4tewGRt6gk/UN\nFgnsLssa1Zqdy/oG2FGiXZxZGWFO10NgBwAACCGEGupZG/iDk/hjJrS5H3/kOOLOTaJI9wic\njjMflhPegERmYEcqFMStbF6szda61QmWFOsSXPn8wZqtVtRkhZ818xJHOTvFi3UPmjTSi5pT\nKGpV6te1ojpvofBk35hYF+eRmjmQLTV/gtUP68zn9RMb6lzGEGLVBIbZAQAAhVTIWVsEE6YY\ntSePJ5j9NBLqSj7P5/P76OnG7dj4cfFIpNHQ2AGnUEBg11Wwkp5ckjZmyRUZjRqfWNOmTTDN\n8fWWGBwn5y4Q/BnXJ9bFGSE0WjPVyO0mZYklVhhjBXaJEldRW7N8WYHdXQvVBAAAOjtSrhnY\n8flUyjpjYN6+gok6okBeRCRycja/bjYgcuD37cfcQNy7Q8o6VlsA58AOx/F9+/Y99thjoaGh\nzs7OPXr0oB8qKCj47LPPtmzZYtEaAssY56kR2KlI8r/32W1p2kuNcSXm85/QHx16CASn+kYn\n/Ds5Q1ceFnMb7dQkeUWmcRtKMiIn32itmvzdYMn0KwAA0FlptthhLmLEZQEqfuIw7WR1nbQf\nlsIbkKjxf4IgMjtWQjtugV1lZeWIESNmz5596NCh4uJipVKpZoyR8vX1XbNmzcKFC2F1ig5o\noKuYNef0gmbLVpzYpbf+RcCMx0poR3MT8P/qG92fMeU20tkp1FGjTdv8wO66XCHXXCJ2qJuh\nmROUHk6OrJpANjsAAEDaXbEGR7bogGGCmU8gZ0b7nEDYuQO7sHBqwiwNT7+CLL14kjk4BHat\nra0TJ068cOECn89/7LHHPvroI1YBZ2fnWbNmIYSOHDliyToCSxBg2Eh3Q6sXP252cx2FmkLB\n2igR8P+Mi9bezuogPlUvNfPDweqH5WPYEONW0WD1xp6GYXYAAIAQkmtkTsBc2v6pzIJJ3IRP\nPv9P36tAKJg2G9OTAbdzwDC+ZqMdWV1FFBrK59XOOAR23377bUZGhlgsTk1NPXDgwNKlS7XL\nPPLIIwihixcvWqyCwHLGeuhdsRhDaJbl5oG+HBTA/K+Yz/8jtk+irpwjYzSrVNHamqNo0i5m\nvAua2VtiXZyNzI03SjOwK2puYS1KBgAAXRC7xc7FlESnvB6RDu+sEr36psOK1fyEQZapme3w\n+g9CPI3wiUjvQB2VHAK7n3/+GSH0/vvvJyUl6SsTGxuLELpz5475NQMWN0ZrJBltgKs4wsnY\n8bBtetLXJ+XfOMldIDga22eonoQjo93dWYM1zOyNZbXYGU50wjRKxzA7uTXsRAAAIABJREFU\naLQDAHR1rMkTGNeuWJpIhAWHavTJdlqYmxuvZy/mFvx6JmptsVV9WDgEdtnZ2QihqVOnGijj\n5eWFEKqtZS8SCjqCSGenMEfdCSHNSV+nTcTDTvSN/j22z/dRPe8M6j/cXW905SsSxmkmWDEn\nsMtTNpe3asxm1RdQagt2EPV00hhieNqiy9cCAECnpD15AiDE6o1FrS149nUb1YWNQ2Anl8vR\nv6GbPi0tLQghgXEL6IL2p7PRDkPI4vl4BRg20ctjrr+vn6iNtblYVTrbIGshCNOe9Jxmcx3i\n0mKHEBrlwR5m14FGwwIAgC2w052Y3GJnX3jRcayRgh2nN5ZDYOfh4YEQqqioMFCGWk/Wz8/P\nzGoBK9HOMIIQGuYmCdXTktcOWMPsFDjOyldiPNY833BHx2AHXbkx9WDNn6hqVd0yb8AfAAB0\nbqpWpNLoBoEWu3/w+by+CcwNRH4uWVujr3h74hDY9evXDyF09OhRA2V27NiBEEpMTDRQBtjQ\naA837bfc/PR15hju5uagOQrV5N5YVmBnTKITppHubqwBf+bMja1obb0ka9xdWb2msHhxbv7+\n6lpo/wMAdC7s5jpk4uQJu8QfMFjj/ySJZ3SIhHYc+kxnzZr1119/rVu3burUqREREdoFdu/e\nvWvXLoTQnDlzLFZBYFHeQmE/VzFzwQk+hs3wMdS9bm3OfF6SxJU5U+FkfcOq8FCux6lRqe40\nKZlbjB9gR/EVCWNcnLMZrXSn66Wvas7w1YaT5O0m5QNlc35z84Pm5nxlS25TU2FraxOu0aH8\nWUnZdB+vHVE9XTvYctEAAKCX1npipk+esDtYUAgWGESWldJbiPTLaMwjrAmz7Y/D08+dOzc2\nNrauri4xMXHTpk0PHjygtsvl8jNnzjz99NNPP/00SZLJycmTJ0+2Tm2BBYzT7I0d6e7mL+LQ\nX2kNrGF2aY1yqRrXV1ifC9JGVpMYpwF2lFHsAX9S3GDaySO1dYGX0mLTrk3Jub0oN//zkvIj\ntXW3lc2sqI6yv7o2MfPGXc3oEwAAOiztFjsT8tjZMX6CRqMdKW0g8u7ZqjI0DoGdQCA4cuRI\neHh4TU3NokWLqEa7wsJCV1fXkSNH/vjjjyRJRkZG7t2712q1BRYwP9Df/d/ZLXwMWxYaZNv6\nIK3ATk2SZ7j3gbL6YT2Fgj7c59WzstnVq9XX5Ap9ha/K5DNv3q1qVRl//FuKpkGZ1w/VWHja\neHFLyx+19bC+LQDAsthJ7LgsFNsV8PoPRJqzRfEOMIWCW4NhWFhYZmbmSy+95Kj11gqFwvnz\n51+5ciUgoI2uK2Bb3RwdribEvR4cOC/ALzU+VnuZ1PaX4OriofnZMGGYHSuDXZJEwuOwnuE/\nhrtL+JrLIOrLZletUs24eceECbwyNT4t586K/ELDbYHG+76iKuJyxsTsWxFX0v+voEjdkVa2\nAQB0bqxcJ84unBaKtXuYswuvdwxzC5FzAyltPOuOc14Sd3f3r776av369efOnbt7925DQ4NY\nLI6IiBg5cqThTCig4+jp5PRZj3Bb1+IhPoaN9HA7UP2wHYtrYKckiAzNLgOuMyco7gJBf7FL\nGmMM4ul66dIQdqMmTpJzbt0tbmk7HSWGkLtAUM9YUhkhRCK0rrAko1G+p3cvT6FZuYEa1OqF\n9x+oSBIh1EqQqwqKT9VLd/eO1JewEAAAjAe5TtrEHzCYyM56+H+1Cr+eyU8cZrsacQ/sKG5u\nbpMmTZo0aZJlawO6rDEe7szA7k6TsrilJcTB2OgkTSZvJTRaqrjOnKCN8nBnBnbnpTIVSQo1\nf6S+m190qp7dkicR8Ls7OoY7OoYI+N2dHCNdxeGOjuGODgIMW/6gcENxKasl7a+6hgEZ1/fH\nRPUTm75s4o+V1QpcYzziBaksPj1ra2SEbSc7AwDsgYK1UCwEdmy8yN6YmzspfdgYgaddtm1g\nZ+O5GwBQxmitY3tSK3IygNUP68DjDXQ18QbEGmYnx/ErMo1b2+GauvVFJay9Po7oJh2WeG1A\n/IGYqHUhgS/5+07w9IhydnLg8fgY9lFEt73RvcRa82Hzm5uHZt7YVVllWlURQtvLK7U3NqjV\ns2/dfeFuLivmAwAATrRa7GDmhBYej9dvAHMDWVJElpfZqjrI5MCuoaHh+PHj27Zt++STT7Zt\n23b8+PGGBlh/CZiupxN7uTNOvbEXZBqB3QBXsaOpE86HuUlEPL3D7O4rlc/cucdqe5vu47VE\nq7uWZaaP9+X+cZHOTqztSoKYe/v+q/92p3JyVSa/rn9ux3fllQkZ1zMbTcz2DAAAJKwnZgT+\nwETW0EM8w5ZTKDh/+T148GD27Nm+vr7jx49fsGDBm2++uWDBgvHjx/v6+s6ePZvOgQIAV6y5\nsafqG4yMdAgSXZRqNKqZkOiE5sznJUo0fpWe/rftUIHj03LusFKxRDk77Yjqacxw4mgX56v9\n+07x9tR+6IvS8lFZObUqtfZDBnxTbmgZGITQ3SZl0rXsT4vLYD4FAMAUENgZAfP25YV2Y24h\nMq4i23WYcAvsjh07Fhsbu2/fPpWKneJBpVLt27cvNjb2zz//tFz1QBfCCuwqW1XZ+pujmHIU\nigbN2QmmzZygsdYWuyRrVBIEQmj+vbwczUXGxHz+/ugo43MOuwn4B2N6rw4P1f7gnZfKHr91\n1/hKNuL4z1Uay9f0cnZyE7Br0kIQS/Ly/3PjViWXtCwAAIBg8oTReAM0FtwimxTEnZs2q4zx\nRXNzc6dPn97U1OTk5LR48eLU1NTq6mqlUlldXZ2amvr66687Ojo2NTVNmzYtNzfXejUG9kp7\nuTMjh9mxBthhCA2VmN5ihxAa5a4RYrYQxAWpbHNp+Z7KatYTfdurRx8XbtnyMIRWhoUcjeuj\nPR/2ZH3Dn3X1Rh7n56oaueYvwlXdQq8NiGc1N1L+rKvvm37N+IMDAABSqVCrxtx/aLHThx/f\nH4k0RhPZMKEdh8Bu7dq1SqXSz88vIyPj008/TU5O9vb2dnR09Pb2Tk5O/uyzz9LT0319fZVK\n5bp166xXY2CvfITCOM35oUYOs7ugObmhj4uzmTlEEiWuznyNj8aG4tIlufmsYotDAk2eefqI\np0da/77xWvNhVxcWG3mEb8o0+mF9hMKp3l7hjo7n+sWuCAvma+WaqmxV/efGrc9Lyk2rMACg\nq2FnJ0awUKx+Igd+TF/mBuLOTbJRpq+4VXEI7E6cOIEQ+vjjj3v37q2zQHR09EcffUSXBIAr\nVm9sqlTGSmKiE6vFzpwBdhQRD2Md5K+6BtbkhuHukv9172bOs3R3crzQL2605nTgi9JGY8LZ\nLLkiTXNWxFx/X2rOhwDD1oSHnewbHezAXimORGjpg/zC5rbT7wEAACwUywlv4L/Li/F4vJ69\nhHOewZxNT2VlVk2ML1pdXY0QmjBhgoEy//nPfxBCVVWmp28AXRkrsFPg+CVZG794ippbijQj\nFTMH2FFYw+xYAh1Ee/v0Epidgd2Zz/s4Ipx1FGMa7b7RzHKCITQvwI+5JcXdLWtAv6ne7Jzh\nrQT5aUkpAgCAtuhosXOGwE4vXngPXu8YweRpopVrhPMW8uL6IaOHX1u4JsYX9fb2RgiJDC4Y\nTz3q4+NjZrVA15TsJnHQTFPS5jA7VnMdskSLHdIaZsckxLB9fXr5G/wgGK+f2GWSl8Y82dQG\n2VmDS+U24QRrtF+yuyRKK5GKl1BwMCbqq8gIJ81Tur28skZr8hMAALCwZ07weBj3Bbi7EAwT\nPjufPyzF5iMROQR2w4YNQwhdvHjRQJkLFy4ghEaMGGFmtUDX5Mznsdrb2uyXZA2wC3IQhVti\njeoEVxftGaaUDRHhJi9rodO73UJYWww32v1SXcOaBfxigL++wi8F+n/RsztzSxNObC6FkXYA\ngLbAQrGdE4fAbunSpUKh8K233tKXi7i+vv6tt94SiURvvvmmhaoHuhxWb2x6o5wVxLBYfIAd\nhY9hw9109MbO8fV5LTjAIk9BG+gqnuDpwdxyql7KyszHxOqH9RAIpvsYWqb5KT9f1ni7L0vL\n5RxzLLUS5O0mZSMsZQFAlwG5TjopDoHdgAEDfvzxx7y8vAEDBuzevbux8eEXT2Nj448//piQ\nkFBQULBr165+/fpZoaqgS2AFdmqSPKO/X7JBrc7RzHVnwba0UVqrnMW4OH/TK8JSx2fSbrRb\nVViks+QtRdMFzVj2KT8fJ4PLbIh42OJgjYUxalXqb3StRabPFVlj+JX0PlczAy+m/VRV3fYO\nAAA7AAvFdk4cskLExMQghJycnPLy8p566ikMw4KDg11cXORyeWlpKUmSCCEvL69Vq1atWrVK\ne/ecnBxLVRrYsf5iF0+hoI6xBsPJeqn2JADKJVkjobllqK4sbqaZ4OnxBsqnp8JKBPz90VEu\n1hkMO0TiOsbDndnv/Fddw1WZfJCEfSfVDsheDNTbD0ubH+i3tqiYeVY3FpctDAxgLZ6mk0yN\nz7h5p6ylFSEkx/Hn7+SO9XD3Fgrb3BEA0KnBQrGdFIfA7uZNjTTKJEkWF7NHAtXW1tbW1lqg\nXqCr4mPYSHe3/dUPryIDw+xYbVeufH5frcxwJuvl7PROWPDawhKEkAuf/1PvXtorvVrQu2Eh\nrFe6urD4SKxGaqEWgthVqTHlPFHiGmtEhmQxn78wMIA5dK+4pWV3VfVz/r5t7rsiv7CkpZX+\nbzNBXJcrRnvonVwCALATsJ5Y58QhsFu4cKH16gEAbYyHOzOwu9ukLGpuCXV00C55XnMg2hA3\nV+3EvOZYEx72pJ9vrlI52NXVV2TdNqrh7pIR7m7M+bBHa+syG+X9XR/eTA/U1LLWk2VlOTHg\n1eCAT0pKm/CHTZwfF5U84+druM3usqxxi9ZMCzlO6CwMALAnJAR2nROHwO6LL76wXj0AoI3R\nag06WFP7enAga2MrQV7VnBJr5kpiOvV2duptzYY6pvfCQkYzAjsSoTWFJQdiougt35Rp9MNK\nBPzZRi994SMUvuDvx5wPe7tJebi29jE93dwIIRVJzr+bqx3EKWAKBQBdADuPHUye6CQ4TJ4A\noH30cHJkpSxZlJvf52rm+wVFD5TN9Mb0RrmS0Ig6kt0tH9i1p1EebqxZvYdqam/8OzskT9nM\nmkcyx9dHzGXM39LQIKFmi+b6ohID5T8qKs1WNGlvVxDQYgeAvVOrUXMzcwO02HUWENiBjmi0\n1ozU203KDwqKe17JGJmV8115pVSNX9BclEKIYYNcO/19Z2WYxvRYqtGO+vub8krW8movGt0P\nSwlxcHjcVyN5+FWZXN+k4/tK5Ro96fSgxQ4AuwcLxXZeENiBjoiV141GIHSmQfrC3Vz/i1c/\nKdZYGqufq4uVpqy2p/Ge7oM1J/bur665pWhSkeTOCo1+2H5ilwTugexboUGsMXX/K9KxwhiJ\n0IK7ec16WuYUMMYOALunvVAsBHadBAR2oCOa7O1pONVwM0FUtmqsi2Wp1MQ2tzIsmPlfAqG1\nRSW/1dSxXq8xWU60xbg4T9RcweyvuvoszVyACKEd5ZV/608fyDW5MQCg02HnOkGQ7qTTgMAO\ndERCDDvZN/rbXj2Gu0uMnOZqjZkTNjHRy7O/ZlPc3qqaVZq9oi58/hO+Jq7I/HaoRrJiEqH/\naY60q2pVLX1QYOAI0BULgN1jd8XyeJhTO00jA2aCwA50UA483vMBfmfjY/MTB6wNDzM8NRWz\noxY7DKF3NRvtcJK8odmoNsvHS99Stm0a5iZhnatfqmvzGLNSFuXm16kMLeMGkycAsH+sXCdO\nzsjgCjeg44D3CXR0YY4O74QF3xrUPz2h76LgQD9d+eSiXZytnWeuPU3x9oozmGnZtH5YGqvR\nDifJDf8OWDxWV89aNMxdIBiiOewPWuwAsHuQ66TzgsAOdBoJruKNPcJLhgz8I67Pk34+zvx/\nrl4hhq0ND7Nt3SwL0xppxxTt4jzEvJXTJnp5star2FlRVdmqUuD4K/fyWIX/1z0swkkj+wxM\nngDA/slhodjOikOCYgA6AgGGTfD0mODpIcfxo7X1Za2tj3h6tFsO4XYz3du7j0vxLV1p5Lhm\nOdGGIfRWaPDTt+/RW5oJYlNJWQtJFDS3MEsmu0leDPTP1OwIhhY7AOweLBTbeUFgBzorMZ/D\nugudDg9DK8OCn7h1j7Xdkcd72q/tBV7b9Liv97v5hcwwbnNpOSvhswOPt7VXDwwhF75G076C\ngMAOAHsH64l1Whboim1sbPzqq69ef/311atX37lzx/wDAgAQQrN8vHtptURO9/HyFFrg95gA\nw94I0RhpJ8dxnNRIgbw8NJhqCmWtbwFdsQDYPfYYOwjsOg8Ogd2JEyfi4+OnTJnC3FhRUREf\nH//KK698/v/s3XlcVPX6OPDnnDMzLMMqu6iIgOKOiEsupWY3My3NtOy2WV27uZTZr6ysbt7S\nrGvfuqXVrcwWvTe1UjPL1LTcUhMUBQVZBEQYdhgYYGbO8vtjcpz5nBngwMDMOTzvV3/ImcP0\nYRsens/zPJ/33nvllVeGDRv2xRdfuHqRCHVHDEW92IestHusw/uwVo9GRoSpnXacDPT1ef5a\nj4WWJgI7zNghpHBEYEdh84R8SAjsdu7cmZ6ePmLECNuLy5cvz8/PB4CAgACGYcxm88KFC3Nz\nc128TIS6pfsiwgbZdDmM8ve7KYg8bK3dfBl6aa8ohw/RAB8PiPe6Nt2A3IrFjB1CysZxeFCs\nfEkI7I4dOwYAkyZNsl6pqKjYvn07AKxZs6aurs6SvTOZTBs2bHD1OhHqjlQUtWfooJkhPXp7\nec0ODfluyMA2jmtuo8U9o/wdncP2t56RtrPuiLPasMYOIWUTDA1gX5iBW7EyIiGwKy8vB4CY\nmOtzJfbu3cuybHR09IoVKwAgNDR01apVAHDo0CFXrxOhbqqvt9f3QwcW3ZDy3ZDEXl4a1z55\nD7VqoWgkXpRGs7af3fgYImPXxPG8/Ws+QkhR8KBYOZMQ2FVVVQFARMT1Ep+jR48CwPTp0+lr\nWzYpKSkAYNmcRQh5vqd79dTQdnnA9xP6Bans+jN87WvsBIAmTNohpFyODorFwE42JAR2luhN\nr9dbr1g2ZydMmGC9EhwcDADN9nvzCCGPFe2lWdmnt/XNByPD54SFEPf4MeQLRQOW2SGkYETG\njqIo35bOwkEeRcLchOjo6Ly8vLNnz06bNg0ACgsLMzMzAWD8+PHWe2prawEgLKydx5PLBcdx\n9fX1rd+naBzHAUCD+A+7bo9lWZZlTSaTuxfSVk+HBA1VM6cMjYleXrOCg8Tf25TRSFwp1+t9\nJe4L8zwPACaTiVf6UbMsy3IcZxR90hSG53lBEPCVUBAE5f1GYKqr7LL03j71BoOzmy0sP9dG\no5FlWzppuhty+XeI2Wxu+QYJgd2ECRPy8vJWrVo1duxYf3//lStXAkBcXFxcXJz1noyMDACI\ninLcaqcYNE37+CjtqAOpOI7jed7b25uiXFvQL3tNTU0Mw2g0Lq6H61QzfXxmOn+0B5BfYl6j\nkfojwLKs2WxWqVSK/9lpbGxUq9Vq56NklIFlWYqiFP/VbBXP842NjQr7PPAmo10Zrdav1Q/Q\nZDKZzWa1Wu3l5dWZS5Mfl3+HqFStRG4SArslS5Z8+eWXJ06cCAsL8/HxsYSfixcvtr1n3759\nAJCcnCx9qXJCUVSrn1nFs8RzKpUKAzsCTdMMwyjpOyRAFKM0t+HFhSAIAgDQNK2kz4xDyvsG\ncMj6CuDuhbgZx3HK+43ANhpsq2hpf/9WP0DLHk53+AGXyuXfIYLQSvOahBq7lJSU9evXq9Vq\nlmUtUd38+fOXLl1qvYHjuG3btgHAlClT2rVahJAn0opGouAoO4QUjDx2Ag+KlRVpIeSiRYtm\nzpx54MABlmWTkpJGjRpl+2hRUdHcuXMBYOrUqa5cI0LIrbQOmiewKxYh5WrAg2JlTHJusHfv\n3gsWLHD4UGxs7Lp16zq8JISQZ/GmaYaibE+SxRnFCCkYHhQraxK2YhFC3ZYvjaeKIdRdkAfF\nYmAnKxjYIYRaR54qhluxCCkVz0NTk+0FCqcTy4rkrViz2bxv375Tp07pdLrGxkZn3RmbN2/u\n8NoQQp6CKLPDjB1CSoUHxcqdtMDuwIEDCxYsKC4ubvVODOwQUhIyY4c1dggplfigWMzYyYqE\nwO7MmTMzZsywjFP38/OLj4/XavGMEYS6BS3W2CHUPZCdE4AZO5mRENitXr3aaDRqtdqPPvro\nnnvuUfxcdYSQlR/W2CHUTTTgQbHyJiGwO3z4MAC8+eab999/f6etByHkiUTNE5ixQ0iZyIyd\ntw+IRpQjTyahK7aurg4Apk2b1mmLQQh5KLJ5AmvsEFIonHUidxICu8jISLh2PiBCqFvBcScI\ndRfEsRPYOSE3EgK7W2+9FQBOnjzZaYtBCHkobJ5AqJsQHRSLgZ3MSAjsVqxYERAQsHr1aoPB\n0HkLQgh5IMzYIdRdNNTbvoVbsbIjIbCLi4vbsWNHSUnJjTfe+Ntvv/E8/smOUHdB1Ng1YMYO\nIYXCg2LlTkJX7JAhQwBArVanpaVNmjQpICAgKipKpXL8DBkZGa5ZIELIA+CAYoS6C2yekDkJ\ngV1mZqbtm3q9Xq/Xu3o9CCFPhDV2CHULPC/gQbEyJyGwW7x4ceetAyHkyYiMXSPHCQDYIY+Q\nwgiNBiDqrDBjJzcSArv169d33joQQp6MqLETAJo43peRUKSLEJIBBwfF+rtlIajd8HUZIdQ6\nrWj0PJbZIaQ8eFCsAmBghxBqnZYWBXZYZoeQ8jSIMnYY2MmNhK1Yq6qqqi1bthw9erSgoKC+\nvt7f379v374TJ07861//2qNHD5cvESHkdlrRriuOskNIefCgWAWQFtgJgvDuu++uXLmyyb5r\n5o8//ti+ffvzzz//xhtvPPnkky5dIULI/fzEW7GYsUNIcYQGnHUie9ICuxdffHHt2rWWf4eG\nhg4aNMjf37+hoSEzM7OysrKxsfGpp56qqKh47bXXOmGpCCG3cZCxwxo7hJTHgAfFyp6EGruT\nJ09aorphw4bt37+/vLz8t99+++GHH3799dfy8vKDBw8mJSUBwOrVq//444/OWi9CyB0cNE/g\nVixCioPHTiiAhMDOMu5kxIgRx44dmzp1KkVdH2JFUdTkyZOPHj06cuRIQRBwMApCCuNN08SL\nBW7FIqRADZixkz0Jgd3hw4cBYPXq1X5OvtJarfaNN96w3okQUgwKwNc+adeAGTuEFAczdgog\nIbArKysDgJSUlBbusTxaWlrawWUhhDwNUWaHGTuEFAgPipU/CYGdRqMBAKIfltDY2AgAXl5e\nHVwWQsjTEGV22DyBkNIIgtBosLuCW7EyJCGwi42NBYAffvihhXssj/br16+Dy0IIeRotTWTs\nMLBDSFGExkbioFjM2MmRhMDu9ttvB4CXX345PT3d4Q3nzp1buXKl9U6EkJKQGTvcikVIYfCg\nWEWQENgtW7YsMDCwurp67Nixy5cvP378eF1dHcdxdXV1x48fX758+ZgxY6qqqoKCgpYtW9Z5\nK0YIuYWoxg4zdggpimCoJy9hxk6GJAwoDg8P//bbb++4447GxsZ33nnnnXfeEd+j1Wp37NgR\nGhrquhUihDyCqMYOM3YIKYuDg2K1blkI6ggJGTsAuPnmm1NTU2+77TbbIXYWFEXdfvvtaWlp\nkyZNctnqEEIew4/cisWMHUKKQs468fICldpNa0HtJ+1IMQBITEz88ccfi4uLjx49WlhYWF9f\n7+/v37dv3wkTJkRHR3fGEhFCnkDUPIEZO4SUBQ+KVQTJgZ1Fr1697r33XtcuBSHkyUTNE5ix\nQ0hRBPKgWOyckCVpW7EIoW6LbJ7AGjuElAWPnVAGDOwQQm2CGTuEFA4PilWElrZiIyMjLf/I\nz8/39fW1vtkWOp2uQ+tCCHkYLY1z7BBSMszYKUNLgZ3lcFgA4Hne9k2EUDdEbMU2YMYOIYXB\ng2IVoaXA7rXXXrP8w3L2q/VNhFA3RGzFNnKcAEDOPUIIyZT4oFgM7OSppcDupZdeauFNhFC3\nQmTseIBmnvehsU4XIUVoagL7NDzW2MkUvigjhNqEqLED7J9ASEHIAjscdyJbGNghhNqEyNgB\n9k8gpCDiwA63YmWqnQOKbdXX12/evDkrKys0NHTu3LmJiYkdf06EkKchauwAM3YIKQkeFKsU\nEgK7/fv3P/vsszExMbt27bJe1Ol048ePz8/Pt7z52muvffLJJw899JCLl4kQcjcHGTucUYyQ\nUpAZO40G1Bo3rQV1iISt2J07d6anp48YMcL24vLlyy1RXUBAAMMwZrN54cKFubm5Ll4mQsjd\nsMYOISVrqLd9C2edyJeEwO7YsWMAMGnSJOuVioqK7du3A8CaNWvq6up0Ol1SUpLJZNqwYYOr\n14kQcjM/B1uxmLFDSCHIjB12TsiWhMCuvLwcAGJiYqxX9u7dy7JsdHT0ihUrACA0NHTVqlUA\ncOjQIVevEyHkZj4MOdoEM3YIKYaA04mVQkJgV1VVBQARERHWK0ePHgWA6dOn09de8FNSUgDA\nWnKHEFIMCsCHOC4Wa+wQUgwDHhSrEBICO0v0ptfrrVcsm7MTJkywXgkODgaA5uZmly0QIeQx\niP4JzNghpBhCAx4UqxASArvo6GgAOHv2rOXNwsLCzMxMABg/frz1ntraWgAICwtz5RoRQp6B\n6J/A42IRUg7cilUKCYGdJTO3atWq2tpajuNWrlwJAHFxcXFxcdZ7MjIyACAqKsrV60QIuZ8o\nY4dbsQgpgiCQzRMY2MmWhMBuyZIlFEWdOHEiLCwsODh4y5YtALB48WLbe/bt2wcAycnJrl0l\nQsgTEDOKcSsWIYVobsaDYhVDQmCXkpKyfv16tVrNsmx9fT0AzJ8/f+nSpdYbOI7btm0bAEyZ\nMsXlC0UIuR2ZscPmCYQUAQ+KVRJpR4otWrRo5syZBw4cYFk2KSndmy0bAAAgAElEQVRp1KhR\nto8WFRXNnTsXAKZOnerKNSKEPANRY4cZO4SUAQ+KVRLJZ8X27t17wYIFDh+KjY1dt25dh5eE\nEPJQWGOHkDKJM3YY2MmWhK1YhFA3hzV2CCkSOetErQYNHhQrV5IzdmL19fWbN2/OysoKDQ2d\nO3duYmJix58TIeSB/MgBxRjYIaQIeFCsgkgI7Pbv3//ss8/GxMTs2rXLelGn040fP9561MRr\nr732ySefPPTQQy5eJkLIA+BWLEKKhAfFKomErdidO3emp6ePGDHC9uLy5cstUV1AQADDMGaz\neeHChbm5uS5eJkLIA2DzBEKKhAfFKomEwM5ygNikSZOsVyoqKrZv3w4Aa9asqaur0+l0SUlJ\nJpNpw4YNrl4nQsj9MGOHkDJhYKcgEgK78vJyAIiJibFe2bt3L8uy0dHRK1asAIDQ0NBVq1YB\nwKFDh1y9ToSQ+5HNE1hjh5AikM0TOJ1YziQEdlVVVQAQERFhvXL06FEAmD59Ok3/+TwpKSkA\nYC25QwgpCWbsEFImzNgpiITAzhK96fV66xXL5qzlDFmL4OBgAGhubnbZAhFCHoOoseMEoRkP\nn0BI/gSDwe5tDOzkTEJgFx0dDQBnz561vFlYWJiZmQkA48ePt95TW1sLAGFhYa5cI0LIMxAZ\nO8CkHUIK0NwMrNn2Ah4UK2sSAjtLZm7VqlW1tbUcx61cuRIA4uLi4uLirPdkZGQAQFRUlKvX\niRByP6LGDrAxFiH5c3SeGI47kTEJgd2SJUsoijpx4kRYWFhwcPCWLVsAYPHixbb37Nu3DwCS\nk5Ndu0qEkCdwENjhVixCMicO7DBjJ2sSAruUlJT169er1WqWZevr6wFg/vz5S5cutd7Acdy2\nbdsAYMqUKS5fKELI7bS0eCsWM3YIyRweFKss0o4UW7Ro0cyZMw8cOMCybFJS0qhRo2wfLSoq\nmjt3LgBMnTrVlWtECHkG3IpFSHkE+/PEQKUCLy83rQW5gOSzYnv37r1gwQKHD8XGxq5bt67D\nS0IIeShsnkBIgXDWibJI2IpFCHVzvjRD2V/BGcUIyZ1oOjF2Tsib5MDOUkg3e/bsPn36+Pr6\nxsfHWx8qKCh49913P/jgA5euECHkKWgKfHBGMUIKgxk7ZZG2FVtWVjZnzhzLXGILlmWt/w4P\nD3/99derqqpGjhw5ZswYl60RIeQxtDTTaBPMYY0dQnInYGCnLBIydiaT6fbbbz927BjDMLNn\nz37rrbeIG3x9fefNmwcAu3fvduUaEUIeA08VQ0hh8KBYhZEQ2G3cuDE1NdXPz+/w4cPffffd\ns88+K75n2rRpAHD8+HGXLRAh5EmIxlissUNI9jBjpywSAruvv/4aAF599dVx48Y5u2fo0KEA\nkJWV1fGVIYQ8EJGxa8CtWIRkjhxQjIGdzEkI7M6fPw8As2bNauGekJAQAKiqqurgshBCnklL\n22fscCsWIVkzGcGMB8UqioTArqGhAa6Fbs4YjUYAUKkkj8dDCMkCuRWLGTuE5IwssAPM2Mme\nhMAuODgYAHQ6XQv3ZGZmAkBEREQHl4UQ8kzYPIGQojQ3ExcoX61bFoJcRUJqbcSIET///POe\nPXsSExOd3bNp0yYAGDt2bFueMD8//+zZszk5OZcuXaqoqACA999/PyYmxuHNHMd9//33Bw8e\nLC0t9fLyGjhw4D333JOQkNA1dyKELLB5AiElEcwm8pIGzxOTNwmB3bx5837++ec1a9bMmjUr\nLi5OfMOWLVu++uorAJg/f35bnvDbb789cuRIW+7kOO61115LS0vz8fEZMmSIXq8/depUamrq\niy++SJxX2xl3IoSstDRm7BBSENZMXlFjMZW8Sfj6Pfjgg+++++758+fHjh370ksvzZw503K9\noaHh9OnTGzdu3LJliyAIEydOtD7UsoSEhKioqISEhPj4+CeffLK+vt7Znbt3705LS4uJiXn9\n9dcDAwMB4MiRI//617/eeeedTz75RKvVduqdCCErrLFDSFHMZGBHqdVuWQhyFQk1diqVavfu\n3bGxsZWVlcuWLbMk7QoLC/39/SdPnrx582ZBEPr3779169Y2PuGsWbPuv//+MWPGtNyQIQjC\njh07AOCJJ56wRGAAMHHixHHjxjU0NPz888+deidCyBbW2CGkKKLADlQY2MmbtLNiY2Ji0tLS\n/v73v3t7exMPqdXqhQsXnjx5MioqynXLAwDIycmpqakJDQ0dNGiQ7fWJEycCwIkTJzr1ToSQ\nLT+ssUNIQQQisFOpgKLctBbkGpK30oOCgj788MO1a9ceOXIkOzu7trbWz88vLi5u8uTJLSfe\n2u3y5csAIK7qs3Q5FBQUCIJAUVQn3YkQsoVbsQgpClFjh/uw8tfOGsnAwMAZM2bMmDHDtatx\nqLy8HABCQ0OJ65Y4srm5ub6+PiAgoJPuRAjZwuYJhBSFmE6M+7DyJ4Pml6amJgAQb/4yDKNW\nq81mc1NTkyUI64w7Lfbt25ednW35N8dxPM8bDAYXfoxyxHEcABgMBkxtEsxmM8dxLMu6eyGd\ngrH/NcAKQk19g4Zu/XuA53kAMJvNiv/ZMZvNPM+bxaVLymL5gir+q9kqQRA4jpPv54E2GGz/\nVhNUqvZ9LJbfCCaTyfKNgaxc/h3S6muLCwK7+vr6zZs3Z2VlhYaGzp07t4Updx3hMHoQBKFr\n7jx8+PDevXut78XzvCU0RM2i4ZZI2VSi4QiVBkOwinF4sxjLskoNeW1x3WaHGl8JLeT7edA0\nNdmOreMZpiMfi9lsVvyfNO3jwu8QVwZ2+/fvf/bZZ2NiYnbt2mW9qNPpxo8fn5+fb3nztdde\n++STTx566KF2rNUZHx8fcPRJsSZFLDd00p0WCxYsuOOOOyz/fvLJJxmGsfbSdlsGg4Fl2YCA\nAMzYEZqbmy2pX3cvpFOE02QMp/L3C9RoWn1HlmUNBoOXl5c4U64wTU1NarVa8ScrNjQ08DyP\nJSuWv/PlOyFLYBjbZAat8Wrfbzez2dzY2Ojt7e3lhfON7bj8O8SVgd3OnTvT09NnzZple3H5\n8uWWqC4gIMBgMJjN5oULF44fPz4+Pr4dy3UoLCwMACorK4nrVVVVAODt7e3v7995d1rExcVZ\nOy1omqYoSqm/ttvOEs+p1WoM7Agmk0nBgZ04hjNSdNs/WJqWcLNMGY1GBX8DWFlfAdy9EDfj\nOE7WvxFY3i69TGs07ftYLDuw3eE7X6qu/w6RMO7k2LFjADBp0iTrlYqKiu3btwPAmjVr6urq\ndDpdUlKSyWTasGGDC5fYr18/AMjLyyOu5+TkAEDfvn2tgUVn3IkQskV0xQI2xiIka0T6R916\n9h15OAmBnaWT1PYs171797IsGx0dvWLFCgAIDQ1dtWoVABw6dMiFS0xISAgODq6srLxw4YLt\ndctxZLbn0nbGnQghW8SAYsDGWIRkjQzsMN8mexICO8s2ZUREhPXK0aNHAWD69On0tQkIKSkp\nAGAtuXMJiqLuvPNOAPjwww/r6uosF48cOXL8+HGtVvuXv/ylU+9ECNlykLHDGcUIyZbAigYU\nI5mT8CW0RG96vd7X19dyxbI5O2HCBOs9wcHB0OZOybS0tP/+97+Wfzc2NgLA22+/rdFoAGDc\nuHF33XWX9c4777wzPT39zJkzjz/++MCBA+vq6nJzc2mafvrpp/38/GyfszPuRAhZaWmGArCt\ntsaMHUIyZjbZvoUHxSqAhMAuOjo6Ly/v7Nmz06ZNA4DCwsLMzEwAGD9+vPWe2tpauNaa0Cq9\nXn/p0iXbKwUFBZZ/WGrgrBiGeeWVV3bt2nXw4MHz589rNJrRo0fPmzevf//+xHN2xp0IISua\nAm+abrIZVYU1dgjJmNl+/BDW2MmfhMBuwoQJeXl5q1atGjt2rL+//8qVK8G+XRQAMjIyAKCN\nx8VOmjTJthWjZQzD3HXXXbZpvK68EyFkpWUYDOwQUgg8UkxxJNTYLVmyhKKoEydOhIWFBQcH\nb9myBQAWL15se8++ffsAIDk52bWrRAh5DqJ/woCD5hGSLcF+KxYDOwWQENilpKSsX79erVaz\nLFtfXw8A8+fPX7p0qfUGjuO2bdsGAFOmTHH5QhFCHoLon8CMHUIyRp4Vi80TsiftS7ho0aKZ\nM2ceOHCAZdmkpKRRo0bZPlpUVDR37lwAmDp1qivXiBDyJFraPmOHzRMIyRfOsVMcybF57969\nFyxY4PCh2NjYdevWdXhJCCGPhhk7hJQD59gpjoStWIQQAlGNXQNm7BCSLdEcOwzsZA8DO4SQ\nNGTGDgcUIyRfRI2dGmvsZA8DO4SQNKIaOwzsEJInngeiq12FNXayh4EdQkgaUY0dbsUiJE9E\ngR1gjZ0SYGCHEJIGmycQUgZyiB1gYKcEGNghhKTBAcUIKYQoY4dnxSoABnYIIWm0NGbsEFIE\nliWvYGAnfxjYIYSk8WNwQDFCiiCuscNxJ/KHgR1CSBqssUNIGbDGTpEwsEMISUPU2JkFwSwI\n7loMQqj9WOyKVSDJowjNZvO+fftOnTql0+kaGxsFJy/omzdv7vDaEEKeiMjYAYCB44Lw7HCE\nZAebJ5RI2mvxgQMHFixYUFxc3OqdGNghpFRE8wQANHB8EMZ1CMkO1tgpkYQX4zNnzsyYMcNo\nNAKAn59ffHy8VqvttIUhhDwUsRULWGaHkDyJDopVAUW5aS3IZSQEdqtXrzYajVqt9qOPPrrn\nnnvUmLBFqFtyuBXrlpUghDqEyNhhuk4RJAR2hw8fBoA333zz/vvv77T1IIQ8nYOMHc4oRkiO\n7AM7LLBTBgldsXV1dQAwbdq0TlsMQkgGxDV2mLFDSJaIjB0GdoogIbCLjIwEAAo34BHq3hzV\n2GHGDiH5ETCwUyIJgd2tt94KACdPnuy0xSCEZIChKC+aOHwCM3YIyRDZPIGBnRJICOxWrFgR\nEBCwevVqg8HQeQtCCHk+ImmHNXYIyRLW2CmRhMAuLi5ux44dJSUlN95442+//cbjSzlC3ZUf\nniqGkALgVqwStdQVO2TIEPFFtVqdlpY2adKkgICAqKgolZNx8xkZGa5ZIELI82jJrVj8Mw8h\nGcJxJ0rUUmCXmZnZwqN6vV6v17t6PQghGdBixg4h+SMHFGPGThFaCuwWL17cZetACMkIGdhh\nYQZCcoQ1dkrUUmC3fv36LlsHQkhGyOYJzNghJEdkjZ3GTetAriSheQIhhCyIGcUY2CEkS+Kz\nYpH8YWCHEJKMyNg1YPMEQjIkmE12b+NWrCJIC+xYlmVZtiM3IIQUAJsnEFICrLFTIgmB3aFD\nh9RqdXx8vLPQjeO4/v37q9Xqo0ePumh5CCFPhAOKEVIC4rc51tgpgoTAbuvWrQDw6KOPOptd\nxzDMI488AgDbtm1zyeIQQp4Ja+wQUgJyjh3W2CmBhMDu2LFjAHDLLbe0cI/lUczYIaRs2BWL\nkAJgjZ0iSQjsrl69CgBxcXEt3JOQkGC9EyGkVKIaO9yKRUiGsMZOiSQEdgaDAQAoimrp6Wga\nAGprazu4LISQJxPV2GHGDiG54XkgqmNVWGOnBBICu9DQUADIyclp4R7Loz169OjgshBCnszP\nPmNn4gWzILhrMQih9iAK7AC3YhVCQmA3cuRIAPjqq69auMfy6IgRIzq4LISQJyOaJwCgEXdj\nEZIV8qBYwMBOISQEdnfffTcAfPzxx999953DG3bt2vXhhx8CwNy5c12yOISQZyK2YgH7JxCS\nHXHGToWBnRJICOzuu+++oUOHchx39913P/TQQwcPHqypqWFZtqam5tChQw8//PDs2bNZlh06\ndOgDDzzQeStGCLkd0TwBWGaHkOyIAjtsnlAGCUNrVCrVjh07Jk+efOXKlS+//PLLL78U3xMT\nE7Nr1y5ng+4QQsogztjhqWIIyQzW2CmUtCPF4uLiUlNTH374YbXoy6/RaB599NHU1NTY2FjX\nLQ8h5InENXa4FYuQvJBD7AADO4WQnFoLCwvbtGnTunXrfvvtt7y8PL1eHxAQEB8ff9NNN2Ez\nLELdhIOtWMzYISQv4tNBMbBTBAmBnZ+fH8/z77333mOPPRYSEnLXXXd13rIQQp4MmycQkj1x\njR02TyiChK1Ys9nc1NSUkpLSeatBCMmCiqI0tN2scmyeQEhmxFuxWB+vCBICu6ioKGjt5AmE\nUDdBlNnhVixC8kLOsWMYoKWV3SPPJOGrePPNNwPAyZMnO20xCCHZIE8Vw61YhOSF2IpV43li\nCiEhsHvmmWd8fHzWrl1bXV3deQtCHkKoqRbKdIDnRCEniP4JzNghJDNmu+YJHGKnGBICu0GD\nBm3durWqqmrs2LHffvttc3Nz5y0LuRPPs9/+z/TmKtP/rTGtf1toNLh7QcgTEcfFYo0dQjLD\n2tfYYWCnFBIqJYcMGQIA3t7eOTk5d999t0ql6tWrl1ardXhzRkaGaxaIuhz74y7u1O+WfwvF\nRdyPu1R33+feJSEPJNqKxYwdQrJCbMVi54RSSPhCZmZm2r7JsmxBQYGLl4PcjTt9kjtyyO5K\n2h/MLdOpwCB3LQl5JlHzBGbsEJITwX4rFmvsFENCYLd48eLOWwfyBHzhZXbHVvIqx3FHf1Xd\nPssdK0KeCzN2CMmbfVcs1tgphoTAbv369Z23DuR2Qm0N++WnDmaRA3Anj6mm3Ao+Pl2/KuSx\nyOYJrLFDSF7MWGOnTDi0BgEAgNls/mqj0FDv+FGjkTtxtGsXhDwddsUiJG9kjR0GdgqBgR0C\nEATz9i1CcVELt3BHfyXy9qib09rPMm3AGjuEZEUg59hhYKcQGNgh4A7+zKenERfpPjG2bwoN\n9VzaH124KOTpRBk7DOwQkhX7whs8KFYxJLc36/X6L774Yv/+/dnZ2XV1dayjkiwAqKys7PDa\nUFfgM8+x+38iLjKjxqpun2V84x9gNFovcr8dZEbdAHimHAIAbJ5ASO5MWGOnTNICu+PHj8+Z\nM0en03XSalAXE8p05m2bieMl6L79VLPvAYZhRo+zHX0iVJbzmefpIcO6fJnIE2HzBELyxuJW\nrDJJCOx0Ot0dd9xRVVUVFxc3b968DRs26PX6NWvW1NbWnjt37pdffjGbzQMGDHj44Yc7bbXI\nlYRGg/nz/4D9CSJUcA/Vg48BwwAAM3Eyd/ww2Gyxsb/u12BghwBAVGOHGTuE5AVr7JRKQmD3\n/vvvV1VVDRgw4PTp035+fl9++aVer3/hhRcsj169evVvf/vbTz/9VFJS8t5773XOapHrcBz7\n1WdCdZXdRY2X+uGFlNbP8hYVGMQMT7YtrROuFPKX8+jYuK5cKfJMRMbOyPOsIKhwpx4huTDj\nHDtlktA88dNPPwHAM8884+fnJ340Ojr6+++/v/HGG99///09e/a4bIGoc7C7vuHzc+wuUZR6\n7n1UZE/ba8xNNxNFddxvv3TB8pDnI2rsAKARk3YIyQiL406USUJgl5eXBwDjx4+3vElRFACY\nbUJ+lUq1atUqAPjoo49cuUbkatyx37iTx4iLqr/cTg8bQVykInvS/QfaXuGzMoWy0s5dH5ID\nP/uMHWCZHULygluxCiUhsDMYDAAQGRlpedPb2xsA9Hq97T3JyckAkJqa6rIFIlcTSorZH3YQ\nF+nhyczkWxzez0y62f79Be7wwU5aG5IRrTiww4wdQvIhYMZOoSQEdoGBgQBQV1dneTM0NBQA\ncnLstvMscR7OOulUQkUZ+8MO9vtvhNKr7Xh37thh4O1+AVO9+qjn/tXZHBO6XwLVq4/dM5w5\nLVz7NkDdFtE8ATjKDiF5wYydQkkI7Pr37w8ApaV/bsMNGzYMAHbv3m17zw8//AAAPXr0cNkC\nkT2hotz03jruyCHu2GHT+rdbPi7CAbOJyzhre4HyD1A/+FjLP9KqSVPt3uY47ughJ/ei7gIz\ndgjJGM+D/V9i2DyhGBICuylTpgDA6dOnLW/Onj0bAN5+++2NGzfq9frq6uovvvhixYoVADB5\n8uROWCoCAOB+PwKma0ODWZY9sFfSu/OZ54j5Jqo75lCBQS2/Fz14GBUSZreMU8cpY7Oz+1F3\nIG6ewFPFEJIN8RGRGNgphYTAbubMmQDwzTffWN689dZbJ02aZDQaH3vsscDAwJCQkIcffliv\n1/v4+KxcubJTFosA+Dy7vW8++4KkXVHyWDAfX3rQ0NbfjaaZG+2D9eZmBk8Y694cZOyweQIh\nmSCH2AEGdsohIbAbPXr0N9988/TTT1vepChqx44dd955p+09ffr0+eGHH4YMGeLKNSKrxkay\nI5Xn+dMn2vjeQr2ez8m2vcIMTwZVm2YZMiljKf8A2yuqU8cpzvGBcqg7UFOU2r4uE7diEZIN\ncWCn0rhjHcj1JAwopml6zpw5tleCgoJ27tx5+fLl1NTUpqamvn37jh07Vo1Rf6fhL+cSx38B\nAHfqODP5FhBVsjt49zOnibYJOnlUW//fKhVzw0R2n82EQkOD6sJ5CI9o6zMgxdEyTK3NadHY\nPIGQbIgCO6yxUwxpZ8U6FBsbGxsb2/HnQa3iL+eJLwq1NXxuNjFtziEu7ZTtm1RIGN2nb9v/\n78wNE9lfD1yv8APQnPodRBOMAQBYVtCV8FeLwWyiBw2leoS0/f+CZETL0LU2SVvM2CEkGw5q\n7FwQDyBPgF9IOeHzcx1e50793mpgJ5ReFUpLbK8wyaOcjThxzNeXGX0Dd/RX6wW6upK/mMEM\nHgZmM19aIlwtEq4W81evCGWl1/ut9v6gfmwR3befhP8RkgmizA5r7BCSCwc1djjHTikkB3Yc\nx3377bf/+9//UlNTKysre/bsmZv7Z7RRUFCwc+dOjUazaNEiV68TATQ3Oxtcx184LzTUU37+\nLbw3l2qXrgOKkrAPew0zYRL3+xHbJnnu+2+5fT8K5Tpik/c6s4ndsU2zbIW0IBLJATHKDjN2\nCMkGNk8ol7TArqysbM6cOceOXT+NirWpsAkPD3/99derqqpGjhw5ZswYl60RAQAAX5jvNHji\nOD71JHPTVMePAgDP82ftjgOh+/Zrxw4pFdyDHjaCP3PaekWorQGoafm9BF0Jf/6s+LwyJHfE\nqWJYY4eQbGCNnXJJ6Io1mUy33377sWPHGIaZPXv2W2+9Rdzg6+s7b948EE0tRi7B5zsosLPi\nTv0u7qu4/r45WUK93eFv7UjXWagcFtW1hj3wUwvLQzJFbsViYIeQXIhr7HArVikkBHYbN25M\nTU318/M7fPjwd9999+yzz4rvmTZtGgAcP37cZQtE1wiX7Qvs7HfBhMoKZxV4IB5fp1IzQ9uZ\nP6OioumERKnvJZTp+PS09v0fkcciZhQbnGWUEUIehqyxY5i2jFZAsiDhC/n1118DwKuvvjpu\n3Dhn9wwdOhQAsrKyOr4yZMds4u1PD2NumED8HHKnnMTTzc185jnbC/SgIeDj0+61MFNucZy0\no2kqMooZOVp1xxz1A48Sy2MP/OR0KxnJE2bsEJIr8qBYHGKnHBJq7M6fPw8As2bNauGekJAQ\nAKiqqurgshCBLyogzvWjh48Uamr4C+ev35NxTmg0UL5a4n2582eJn2Fm5OiOLIaOjVfNnsf+\nvAeam6iISDq6NxXdm4ruTUf1tH11YJJHczbDk4WKcu5sKtPeLWDkgbB5AiG5sv+lQLVtUj2S\nBQlfy4aGBrgWujljNBoBQIXfIq5GFtip1XSvPjD6BtvADlgzn/YHM2ES+b7E+Do//3bspRKY\nMeMbEoeYzeaQkBDKSckdM3Uad+YPuxbaA3uZpJGY8FcMzNghJFesye5N7JxQEAm/YoODgwFA\np9O1cE9mZiYARETgaQQuJtjXz9F9YoFh6AGDqKBg2+vciWNEj4JQU02MNaaTRoLolM/OQAX3\nYEbaNUcLVRXEkGQka0SNXQMGdgjJBbkVi4GdckgI7EaMGAEAe/bsaeGeTZs2AcDYsWM7uCxk\nh+P4K4W2F+h+cQAANE2n2EdOFWV8UYHtFT7tFBHqdeVmKHPzrcRZtNyBvYC//pVCNKAYt2IR\nkgfBbH/SN9bYKYiEwM4yymTNmjV5eY7nbmzZsuWrr74CgPnz57tkcciCv1IIZru0ORUbb/kH\nM+oGYmeTt2+h4GxmzgEAFRFJRffunGU6QAUFMyl2Ub5QU02OSkayJaqxw5AdIZmwH3eCQ+yU\nREIx3IMPPvjuu++eP39+7NixL7300syZMy3XGxoaTp8+vXHjxi1btgiCMHHiROtDSsXzfFNT\nU5f976jsi3ZVbAxjDAsHywK8vKl+8VTuJeuDXHoaO/U2wdsHAKC4iK4ot31XftgIV62c53kA\naGpqclZj96fxN9GpJ23T/uyBn0yDhnbNdrBbsCzL8zzfDdJXavtIzsC19HPBcRwAsCzblT87\nbmEZ284pPcy1vgK4eyFuZvlhl93ngWpqtH3h5hmmgx+C5dveLD7Qottz+XdIq59kCYGdSqXa\nvXv35MmTL1++vGzZsmXLlgFAYWGhv//1k6z69++/devW9q1VXlqJZlz7/7LfXYXo3pTG6/qj\nKWPBJrADsxnOn6VGjwMA6twZ+yeiYFiya1dOUVQrTxgQCCNHw4nrp5VAXS115g8YdYMLl+Fp\nWv+0KIKf/T57M8/zAIyTD9z6CVH8Z8byAXaHD1MQBMV/mK2S6ZebYu23YlXqDn4I3ecHXCqX\nf4e0+lTS2ldjYmLS0tJeeOGFzz//vLm52fYhtVq9YMGCN998MygoSPIy5YamaW9v7y76n/G8\n8UqB7QUmvr/K9v8+PNn04y5BX3d9eWmnNDdOAY4zZabbltfRCQPU4S7razEajRzHeXt7t/pN\nJky9zZT6h+1uMn34oGbsBKWW63Icp1KpvLy8Wr9V5oK8yY+R12i0TnKxZrO5qalJpVJ13c+O\nm7Asq9FoNBqFFy1ZfgUo/qvZKo7jzGaz7D4PZvs9BdrLS92xD8FoNDY3N6vVatl9Kjqby79D\nmNb2uyTPJQkKCvrwww/Xrl175MiR7Ozs2tpaPz+/uLi4yaGnLzgAACAASURBVJMntzwJBbWP\nUFIMRqPtFTo2zu4OmqaTR3O/7r/+LqUlQnGRUFsjGAx2N7pphhzlH8CMGccd/dV6RdDXcX/8\nzoy70S3rQa6ipcnXFwPH+St3kx0h5SDn2Cnzz+zuqZ0D5wIDA2fMmDFjxgzXrgaJkQeF0TQd\n04+4hxkzjvvtgG33K3fquNDQYHeTRsMMHtZZq2wNM2kqd/K4bdKOO7iPGXWDUpN23QQx7gRw\nRjFCcsHiuBPFwlGxno6YQkf17AWiPT6qRwgdl2B7hTuTymdl2l5hhiSBxm2bg5R/AHPDBNsr\nQr2eO3nM2f1IFvxEyTlsjEVIHogaOwzsFMQFR0TU19dv3rw5KysrNDR07ty5iYkdPdUAXScI\nQkG+7QW6X7zDG5nR43jbFgqTkbiB7tgxYh3HTLqFO3nMdluZ+/UAM2Yczk+SL3E5HY6yQ0gW\nBBOePKFYEjJ2+/fvT0pKuvPOO20v6nS6pKSkRYsWvffee6+88sqwYcO++OILVy+y+xJ0pUKj\nfZ0cUWBnvT5kOKX1c/Y8VGCgs4iwy1BaLXODXVGdUK/nfj/qrvWgjnO0FYsZO4TkAGvslEtC\nYLdz58709HTL+RNWy5cvz8/PB4CAgACGYcxm88KFC3Nzc508B5KGLLCjKKovWWD3J4ZpoTeC\nTh7tCSe0MjdNAfvOIO7X/URrCJIRR80TmLFDSA6wxk65JPyyP3bsGABMmjTJeqWiomL79u0A\nsGbNmrq6Okv2zmQybdiwwdXr7Kb4AvsCu8goylfr7GZmzHhwMnmESUpx8crahfLVMuNvsr0i\nGAzc70fctR7UQRqaUtt/y+FxsQjJA54Vq1wSArvy8nIAiImJsV7Zu3cvy7LR0dErVqwAgNDQ\n0FWrVgHAoUOHXL3Obkqw75xoeTuVCgunY2IdXO/Vh4qMcvHK2ks1cQr4+Npe4X77BZN28uXL\n4KliCMmPgBk75ZIQ2FVVVQFARMT1CbdHjx4FgOnTp9PXtvlSUlIAwLI5izpIqCgX6vW2V+i+\njgvsrt8wZrz4IuOm8XWO+fiQSbtGA3fsN3ctB3UQ0T+BzRMIyQORscMaOwWRENhZoje9/nqo\nYdmcnTDh+hiL4OBguDaRHHUQf1lUYOekc8KKGZpE5MOAYeikka5eWoeoJk4ik3bpae5aDOog\noswOM3YIyQDPg/2PKoUZOwWRENhFR0cDwNmzZy1vFhYWZmZmAsD48dezRLW1tQAQFhbmyjV2\nV0K+fYFdaBjlH9DK+6jVRH6OHjCohW5Z9/D2IWbaQUO9m5aCOkpLbsVixg4hj8eKTpHHjJ2C\nSAjsLJm5VatW1dbWchy3cuVKAIiLi4uLu55GysjIAICoKE+p6JI1ImNHx7ZpXglz4xRKe63B\nQqVW3XyryxfWcVRIqO2bAtbYyRa5FYsZO4Q8nmAWBXaYsVMQCQOKlyxZ8uWXX544cSIsLMzH\nx6e+vh4AFi9ebHvPvn37ACA5Odm1q+yGhOoqobbG9grVr5V92D9vCwpWP/kc98cJYFkmeRQV\nEdk5C+wQysv+OGSzCXjeEwayIKnIjB3W2CHk+TCwUzQJv0pTUlLWr1+vVqtZlrVEdfPnz1+6\ndKn1Bo7jtm3bBgBTpkxx+UK7G+IkMWhzxg4AqKBg1S23qW6b6ZlRHQA4ONyMGIOOZMIPM3YI\nyY5oKxZr7JRE2pFiixYtmjlz5oEDB1iWTUpKGjXKrpyrqKho7ty5ADB16lRXrrFbEuz3Yake\nIVRQsLsW43qi424Fo5Gyn12MZEHUPIEZO4Q8HmbsFE3yWbG9e/desGCBw4diY2PXrVvX4SUh\nAADevnPC2UliMkWJAjvx4bZIFkTNE5ixQ8jTOaixw+YJBcGqJk8k1OuFqgrbK1Sb92HlQbwV\na8QRObIkmmOHgR1CHs9Bxk7jjnWgToGBnScS8nKIK3TbOidkQ7wVixk7ecJxJwjJjyiwwxo7\nJcHAzhMRnROUfwAVoqjRgA62YnHiiTzhgGKE5MfBHDvJdVnIY2Fg54mICXZUi0fEypJKTQ43\nwcBOnoiMXQNm7BDyeGSNHcPgtCklwa+lxxEMBqG8zPYKrbzAjqKIMjucUSxTOKAYIfkhAjvc\nh1UWDOw8jnA5FwTB9orCWmItKC/7Wl2ssZMnImPXzPO84OxehJBnsA/sKGyJVRYM7DwOWWCn\n1VLhnjpnuCM09lPrsCtWnogaOwEbY+Xgq7LylNT0kanpm3Tl7l4LcgfWfiA8ZuyUBeslPQ6f\nb19gFxsPFOWuxXQiL9yKVQLi5AkAMHCcv+gi8hxvFV1dkV9g+fcjWTnBKmZWaIhbV4S6nJm1\nexMDO2XBjJ2HaW4SdCW2FxS5Dwvixlg8UkyeiK1YwIknnu2d4hJrVGfxVtFVN60FuQ3ZPIFD\n7JRFcmBnORB29uzZffr08fX1jY+/XtdfUFDw7rvvfvDBBy5dYffCF+SD/THqCuycsCCbJ3Ar\nVpa0jjJ2blkJatX7V0ufyb1MXPxdX3+uweCW9SC3YYkaO9y7UxRpX86ysrI5c+YcO3bMeoVl\nr2d0w8PDX3/99aqqqpEjR44ZM8Zla+xOhPp68PaG5mtRjrcPFdnTrSvqNF5EjR1uxcqSg4wd\njxk7T/Rhie6pnHyHnS0fleg+6K/MnQHkGHbFKpqEjJ3JZLr99tuPHTvGMMzs2bPfeust4gZf\nX9958+YBwO7du125xu6EGTXW6x9rNU8+q5oxmx40lBk4RKnjhciuWAzs5IlongDM2HmkT0rL\nFl/Kc9avvKW8oqHLv2on9fV3nL846WzGJl05NlJ3NdyKVTQJGbuNGzempqb6+fn9/PPP48aN\nA4DnnnuOuGfatGkffvjh8ePHXbnG7oamqejeTHRvZuJkdy+lM9ln7PBIMZnCGjvPt0lX/vfs\n3BaCJz3L/besYmHPruu+P6VvmHw2o4nnAeC32rrt5ZWfJyaEazBv1EUEFjN2SiYhG/T1118D\nwKuvvmqJ6hwaOnQoAGRlZXV8ZUjh7GvscNyJTHnRtMq+axszdh7lq7Lyx7JyiFi7h1oVbF9W\n9Z/SMugq1WZ23oWsJpst+5+qa4afPruvurbL1tDd4Rw7RZMQ2J0/fx4AZs2a1cI9ISEhAFBV\nVdXBZSHFw65YxfC1T9o1Yo2dx/imouqRrFzi6xGoYvYOG/xIVITtxbT6hj/qG7pgSQLAI9k5\nhc1khl5nMk07l/lUbr4Rv3+6gBnn2CmZhMCuoaEBroVuzhiNRgBQYYsNapXGrqoDu2Llixhl\n1/XVWt3N/8orJp3NuOns+ady87/QlZ83NLKCg43W7RWV8y9kEw8Fqph9w4aM8vdbGBVBjMf8\nqETXmav+09qi4l2V1Q4fEgDeKy4df+b8pcamLlhJt4bNE4omIQILDg4uLy/X6XRBQUHO7snM\nzASAiIgIZzcg9CfsilUKon8Ca+w61TcVVfdduGT59+FaveUfPjQ93E+b7O+X7Kcd6e83WOv7\nQ1X1Xy9cIqI6f4b5adjg0QF+ANDf12dKcOAvNXXWR78ur3g7rm9QZ/5Z/ltt3SuXi1q+J7W+\nYWRq+nsJ/RZEhnfeSro5co4dbsUqi4SM3YgRIwBgz549LdyzadMmABg7dmwHl4UUj9yK5Xli\ntBKSC6J/AmvsOk89xz2Vmy++3sTzJ/T1H1wtfSw7d8Tps/5HTtyTmW22j+r8GObHYYNuCPC3\nXnncvluikeO/KqvopJUDQJnJPF8Uayb5aX1Ejf8NHPdIVs69F7LrWOV/LzVw3LorVx/Nzt1S\nVtF13cHEHDvM2CmLhMDOMspkzZo1eXl5Dm/YsmXLV199BQDz5893yeKQkhGBHZ4qJlvEjGI8\nK7bz/LPgSomx9WpUI88TUZ0vQ/8wdOCEwADbi7NCQyLtKyL+02m7sZwg3Hcxu9S+lDbG2+uX\n4UNOjRw+ROsrfpet5ZVJp88cr6vvpCV5gjMNhhGnzz6bV/BZadn9Fy/9o7V0psvgVqyiSQjs\nHnzwwaFDh1ZXV48dO/bf//53fv6ffzg2NDT8+uuvDzzwwAMPPCAIwsSJE2fOnNk5q0XKQWnI\nwA53Y2VKlLHz3K3YvKbm94pLt5VXmnj5jU672Nj07+KS1u8T8aHp74cMvCkokLiupqhHouy2\nOzMNjUfq9O1fonOvFlw5aLPtCwAamto2KLGHWjVE63tq5PBF0VHi9ypoNt509vzrhVc88Ksl\nAJxtMLx95eodmVlTsvNezC+Uml/8T4luXNq53Kbr5cVvXbl6pWteBnErVtEklFOoVKrdu3dP\nnjz58uXLy5YtW7ZsGQAUFhb6+1/P7ffv33/r1q2uXyZSHqLGDjCwkytRjZ2HZuw2lpYtzvmz\n6fLGoID9w4ZoaKrV9/IcS3PyiDxcuEZdbmqlgMGbpncOGXhzsOPC6L9FRa4tLLaNxP9Topto\nn9jruJ+qa9YUXiEurouLtVT7AYAPTW9I6PeX4KBHs3Oq7M+nZwXh5ctFPVQqh5Ff18trav6l\npvaX2rpDNXUVNuFRWlHxZ7qyN/r1fTgyvNXvqgaOe/xS3n9FG99Gnn+jsLgLTgHBOXbKJu1U\ng5iYmLS0tL///e/e3uRvZbVavXDhwpMnT0ZFecSPH/J0GnLWOc4olinPz9ixgvBUbv5j2bnW\nURqHa/X/vtqe7Je7bK+o/MU+49Xf1+fK2FHVE8YcGD74rbi+94SHJvj4ECGFF01/OzjxLz2c\ntrv19faaFhJse+WbiqpKsyurXa8YjQ9eJAfpzQ0LXSoK1O4M7ZGeMmKyKLMIAKuLis2OOn+7\nRpnJ/L/yiseyc2NPnI4/mfr4pbxt5ZUVos9Smcn8SFbODWnnTrc4OOa8oXFUaro4qrP4TFfe\nFUk73IpVNMkNUEFBQR9++OHatWuPHDmSnZ1dW1vr5+cXFxc3efLkliehIGSLcpCxw4knsuTh\nNXY1LHtPZvb+GnL47euFV+6PCIsS/YHhgQwc90xuAXHxvfh+GprS0Kqbg4OsCTk9y6U1NKTV\nG84bDGqKeiI6aoSftuUn/3vPyB+raqxvGnn+c135/+sd7ZKVmwXhnsxsIlLs7+vz6YB4h/dH\ne2kODB/y5pXif1wuso3kSoymHRVV88JDXbKqtvuttu7/5RWk1je0Pag8qa8fk5r+aFTE6n4x\nYaKAaZOufElOXqPzP36MPL+26OqGhH7tXXIb8DzYp9WxeUJh2tnZHhgYOGPGjBkzZrh2Nagb\nETVP4FasTHlyxu5iY9Od5y/mNDmYi6ZnuRfyCz9PTOj6VUm1urCYyOLMDg251VEeLkDFTAoK\nnOQo6eXM9B7Bvb28bJ//45KyZ3pHu2SXekVewe96u+4HH5rePmhAgIo8YtiKpuCFPr2mBAVO\nSc+wDYDWXy3t4sDuqtE04/zFdsxl5AE+KS37pqLqn7F9nugZyVAUADRy/OKcvM915a2++8bS\nsuf7RPcWv0K6inj+QBsCO04QKszmULWaOGkGeSBlHjCPZICmiYpd7IqVKY+tsfuxquaGtHSH\nUZ3Fl7ryk3pPb7q81Nj0dvFV2yu+DP1/8bGuen6Goh6zP4Uip6npF1GCsx2+q6h6V9TtsT6h\n37DWkogAMCbA/77wMNsrR+r06Q2Gjq+q7T4u1bUa1dEASVpfP9HEFgCoYdmlOfkjU9MP1+ov\nNjaNTkt3GNVNDAxYHRtje8WStOvIylsm2FcxArTePHGkTt/vZGrU8T/6njj9cYmOc9+2eMsK\nm41flZUru5O6LTCwQ24jOlUMAztZIjJ2HnLyxL+uXL0j42LLjYoCwJO5+R7eIPtkbj7Rw/t8\nn159vV2ZznksKoJIw3T8FIrcpuZHsnOIT+2CyHDiKLMWLBYV4a2/WtrBVbUdKwifOT8/t7+v\nzxM9I78ZnFgxfszp5GGnB/W/PyLMYSIrvcEw6ez55NNnMw2NxEMUwPN9eh1MGvJcn+g4H7vS\nlI2lZcVtmGtjVdBs/Lm6Vlz255hZ9MwtZuwO1NROO5dZ1GwEgKtG0+OX8oafPru3uqaFd3GL\nXZXViafSHryYM/7MuYXZue5ejjtJ2Ip9/fXX237zSy+9JH0xqJvx8gKDTZUxZuzkiaixc/tZ\nsc08/7fs3M2OitNnhYZcNRptD0U9pW/4XFfW9miji+2orPq52i55Fufj/ayLCuCsenppZob0\n2FF5/Yzv7yurS02mdhcgGjhubmYWEVUP1fquT5DQ75nkp50QGHDUZvzKf8sr3orrG9wlR1b+\nWFVDhFZRGs3NwYE3BwfdHBxou0/KcVykWvXVwP6P94xcmpN/VpRWFACaRT8UIWrVF4n9b7/W\nubIypvcjWTnWR408v7aoeH3bKu3ev1r6dO5lThB8aHrr4AEzQ3q08g6irdgWauz2VdfOyrjY\nZL/+TEPjbecu/KVH0Lq42KGOZhB2vbT6hvsuZls/z5+Ulk0MCnggopseXiLhJ+Tll19u+80Y\n2KHW2WfssCtWprSedFZsidF0V2aWeIOVAlgZ03tV3z5/1NffkHbONpP04uXCOWGhgc6rvtyl\nkeOfzr1MXPx3fD9vRxt/HfT3npG2gZ1ZEDaWlr0U07sdT2XihTmZWUR8488w2wcn+jLSVr4k\nOso2sGvk+M9Ky55xdVzr0MeldjlLb5o+P2pEiLql35gTAgNOjxz+cWnZS5cLq8XbnTZuCPD/\netCAPjZp1wciwlYXXsmzmWn3aWnZ83169fJqJbbeWVn1VE6+5fu5iecfycq9PHYkcXwzSZzY\ncxLY/VRdc1dGljgqtdhXXTui5uyCyPB/xvZxbxOSzmSalZFFtKQ8lXN5SlBQdGufQEWSENg5\na3plWVav1wuCAABarVY8CQUhhyiNl91ODWbs5ElrH2c0cTwvQGdMiLtiNP5SU2dynhE0C8Ib\nRcVXRXtYvgz92YCEe8JDAWBMgP9DkeG21U5lJvM/C4vejnNZ1ZqrrC0qLmy2+6GYGdLjdvvp\nJK4yNTgozsebCCxe6NOLkVgpzwvwUNYlIssIAJ8MiB/g6yN1VXeFhfT00tgetvFBie7pXtGd\nPX+wqNm41/5DmBMW0nJUZ8FQ1BM9I+eFha68XPhJiU78nUoBPN2759p+fdX2n1gVRb3Yp9ej\nNhuIbUnaXWxsevCi3X53pdn8YYmu5ZwueVAsOK6x+6Gq+u7MbGOLCXhOED4tLfu6vPK5PtFL\nwrq6Z9nCyPN3ZWSJZ8TUsOzfsnP3DBvUDXs9JAR2lZWVzh6qr6/fs2fPCy+8wHHczp07k5OT\nXbE2pHTExBPM2MkTkbETABp5rpWcgXQ7K6v+evFSC3MinOnt5bVzSGKyv5/1yhv9Yr6rrNLb\nbBS+X1z6WFTkQOmRR+fJa2r+1xW7Cnpvmn7XdT0TBJqChVGRK/ILrFcKm40/VdfMaHVfz97S\n3Pyvy8nfFEuio+5pV0OrmqIej4r8R8H1g7bym5p/rK6WuiqpNurKiP6AhVGRzm4WC1GrPuof\ntzAqYklOvm1TcJBKtSkxflao4xTJA5Hhq4uK821i642lZS/06eUs51THcrMyLtaLEuT/d6Vk\nSXSU+ATe6xx0xZL/i12V1fMuZBHFnZZCTFbUOdHAca9cLvroaukL4aELfFvvjHGtxy/l/e6k\nBeqn6pqNpWWPeWqhRedxTUrf39//3nvvPXXqFE3Tt912W2lp15W4IhkjtmIxYydPWtH+mssn\nnuyuqr7nQnY7orpxgf6nRg6zjeoAIFKjedl+k9EsCMty8zu6Spd6Kjef2AJ7rk90P59O3A9Z\nEBXuZR8N/KfEafeAQ69cLvpA1N/wlx5BHcmGLuwZQRwQsuFqZx1oa8EKwkb7tomBvj43Bkk+\njSPZ3+9Y8rAvEhP6+/qoKOrWHkFpKcOdRXUAoKaolX162V5p5vm1RcUOb+YFuP/ipUuNDjq+\ndSbTRudtHwAOtmIp+2TkdxVVczPJqE5DU9sGD0hPSZruJGdcYjIvLS5NPn9hSU7+f8sqipq7\n4vX87StXv2hxgswzeZcLXboSsyCcaTCItwU8iitrNcLCwl5++eXy8vI333zThU+LlIrsisXA\nTp60ouScayee/FhVMzczux2nuz4cGX5w+JBIR9U/T0b3JHYG91XX7qqsbv8qXWp3VfWeKruu\nw77eXs/b/9Z3uTC1+i77sOOn6pq2/3p+r7j0NdG5YWMD/L8bnNiRo9siNZo5oXbZvp+raxwG\nNK7yY1UN8Wt7YU8J6TpbFMCDkeHZo5PNN43bO2xwbGt1Sg9EhhOx+6elZQ5jiFcLin6ocvrt\n+lbR1ZZ+Xlrcit1eUXnvhWzinA8NTW0flDg7NGSQ1nfP0EH7hw8e7mRmzaWm5g1XS/968VLM\nidO9fv/j3gvZ7xWXptY3iPN8HfdTdc2K/ELiIlEsq2c5cXd2u10wNA48lZZ8+myf3/946TL5\nv/YcLi7CnThxIgB8//33rn1apEwaIrDDkydkSSva9DG4rjF2X3XtnMyslgt9xBiK+r/42E2J\nCV5ONqQ0NPWOaFvzmbzLzurEu1Izzy8T9Uy8G9+vpc01F3m8p92mFScIn7Sc+7lmc1nF06KU\n52Ct756hg8Rxv1RL7OeeCAAfdHgaSwv+I2qbeLCrmivVFPWiKGn3pihpt6Oy6nVRDG3ritH4\nVZnTPBZZY8cwcO1b6+vyyvsuXCKiOi+a/m7wwDtCr29/Tw0OShuZtHFAfM8WWxOuGk1byyuf\nys1PSU0PPnry5vSMfxQUnXDR5Misxqb7LlwidszHBvifTSF7XA7W1G1wxaCcgmbjX85lWupQ\neYDVhcVdOX9HEhe/UqjVagAoKZHTIYzIbbArVhHE5XQlLtqn+KWmdlbGRSLYUlFUsErl7L8e\natXYAP/9wwc/3atny09+W49gYjBEXlPz21fc/9r1VtFV20IrALitR/CdoZ1bVWZxY1AgUWi4\nsbSs1ah6T1XNI1nkabB9vb1+Hja4RxsaDlo1LtCf2Ez/XFfWSc3XRc1GovPj7rAQl3wUbfRg\nZDiR2PvEPml3wdD40EUyBTU5KJCI+9cWFTsdI+zkoNgtZRX3X7xEpNa8aXrnkERxyw5NwSNR\nEZdGJ/+jb++2xO4NHHewpu6fBVduSDtnW8rZPjUse2fGxVrWrvW4l5fmuyGJfb293hd1nDyf\nX5jb1KHEQZnJ/Jf0TCJ7ujz38uFavbN3cSMXB3aHDh0CAH9/f9c+LVIkiszYYWAnS+KX9dkZ\nF1cXFrdj89TWb7V1d4gGaHnR9K4hA6snjHH2X9X4Mb8nD3N4kLzY/8XHEim9N4qKJQ2GFeMF\nSDM05rW3rCe/qZkoq/Ki6X8ndFHHLgXwuP22Y6nJFHPi9Ir8AmcHeByt08/NzCJyPOEa9b7h\ng104aYJI2tWxnMM5hR33aamobaK9+7Dto6aolTFOk3a1LDsrI4tomIj38f52SOLf7LOtuU3N\n4i6WP9k3T1AqNQB8qSt/KCuH+Nh9aHrXkIHTejhtxNYyzKt9+1wanfxIVETbg4l/FV39tbau\nzbeTWEG490I2sR3vQ9M7hgy0TF2ZHx52d5hdUYGB4xZk5bT7BamO5W47lyn+ETALwtwLDhpy\n3c6Vgd0vv/zy3HPPAcC4ceNc+LRIsbDGThECVAwxFKOJ51+6XDgi9eyRunb+OXu0Tj/j/EWi\nW0JDU9sHD3BWu90O8T7ey+0TewaOey6voN1PeErfMOz0mZsu5gxKO/fARXJLq1UGjrs7M4uI\nZZ/p3TPBp+vadR+MDCdyP2Um81tFVwecTJt8NuO/ZRW2CdSMpuaZ58ngO0DF7B022LVrvjc8\nlNhfW3+11OVFW6wgfKaz23oepPWdGCi5baKDHCbtSowmS8MEEV74MczOIQODVapne/ciahnf\nKCp2HMqIMnZflZUvEEV1vgy9e+jAvzg6kpjQ00uzcUB8xoiha6Ii7g4JbnX2ngDwxKU8qfUV\nVs/mFeyzz6pSAJ8lJqTYpHU/6B8XrrGb4XK0Tv9OcXsOamvi+TsyLpxxcpxduck8x/moP3eR\nkGG+9957nT1kMBguXryYl5cHAAzDPP/88y5YGlI87IpVBDVFzQzpsdNmvK3FBUPjTWfOPxIV\n8Va/vpI2s37X108/d4HYa1NT1NeD2jBVX6IXY3p9WVZuu8PydXnFE9GRUn+dmwXh9cIrawqL\nrTtZm8sqVBT1WWJCGxsHBIAFWbnE748+3l4vdnLPBCFYpbo3PHSTqNNQAPi1tu7X2roeuaoH\nIsIfi4owG03zCoqJ7TBvmv5+yMARbTgNVhIfmn40KuItmxNUMw2Nv9bWtTE120Z7xG0T7piU\noaaoF2N6/c1mpl0zz795pdifYYiWGgrgi8SEwVpfAOjlpXkoIty2JjLT0LizsuquMFEfrn1g\n93tg6GPZuURgomWYH4YOnCTl09vP2+tvIUFardbHx6eo2Xi0Tv+7vv5onf68oVG8KZzV2PTW\nlasvS5+A/VlpmfgA4hdiet1rP08nTK3+qH/cXRlZthdfulw0PaSHpKlGrCDck5nd8n7rH/UN\nf7+U93liQtuftrNJeLXdunVrq/cEBQV9/PHHN9xwQweWhLoLciuWNQPPQ+dXiCOX+ywxnsmG\nbyvI2E4A2Fhatruq+u242Hva8Kc/APxR33DbuUxis0lFUVsG9Z/tfFREu/kxzJv9+t5/8ZL1\nigDwZE7+6ZHD2z6b92Jj04MXL522OanM4nNdeU8vDXHEuzOvFVzZXkHunb0bH9vx5gOpXojp\n9U1FlXhAmkW1mf13ccm/i0t8abpRVP749aABN7k02LJ6omfU21dKbEOE9VdLXRvYiU+bcNeZ\nVA9Fhq8uvFJgs6H/UYnOLMq/vRjTyzZuW9Gn1yZduW2R3Oqi4tlhIcT3sW3zRKmXz73xg4mq\nCT+G2TN0UDsmvFj18fa6zzvsvogwAKjnuBP6+iO1+jeKim3Xtqaw+N7wUEmZ3WN1+idy8oiL\nd4b2eK2vgx+x2aEh90eE2W7ZN/P8w1mXjo0Ypmrbgiiq3gAAIABJREFUj7YA8Gh27m5R9/FI\nf79U+x/2L3TlI/39lopON3YXCYHdzTff7PA6RVHe3t5RUVFjxoy5++67AwM75acaKRAxoFgQ\nwGQCPLlEhoJVqm8GJ35fWb00N188IKPcZH7g4qVNQQFvhIcMbvF1PK2+4db0TOKMUYaivhyY\nMLfT5trfFxH2YYnumM2u8dkGwwclura8TAsA/y4ueTG/sMnJXsyawuKeGo34PHvCdxVVr9qM\n4bVYFB3VGbFsqxJ8fE6PHP7Wlatfl1e2MLmGiOoogE8HxHdek0dfb6/bQ4K/txlJ831l9RWj\nsTdR0dFehc3Gvfb5sLlhoV3ZNmFLTVEvxvS2PcleXLE6PST4n/YBTZyP9/zwMNt+2LT6hr3V\nNbcRRXLXauyMNH3viHE6++nE/gzz07BB4123Ae3PMLcEB90SHNTE8+tsZm438/yiS/n7hw9u\n4/MUNRvvEk3XG6L1/Wpgf2fjdN5L6Hewts62l+uUvuHNoqtEFaMzz+Re/lKUup4VGrJ98IAn\nLuV9at8w/kzu5WFa3076q0YqCd+1Bw4c6Lx1oO5I9IosGI0UBnaydUdojynBgf8oKHqvuFQ8\ntupgrf7GuvoHQnvE+/tRQAWpGAAIVqsAwHKsu1kQ7r94qcZ+a48G2JQYPz88rPOWTQG8Fx87\nKjXdNk55Mif/kxLdA5Hh88PDnNUMFTUbF2TnHKxppQz8qdzLkRrNHPGO2DXpDYYHsxz0OXbe\nOROt6u/r8+mA+P+Li/1vecWnpWWpomSk2Lq42IciOze/tSQ6yjawYwXhoxJdGxOirfq0tIyI\nzRf2dOeJBQ9Hhq+xT9rZSvDx2eIooHkhpteWsnLbD+T1witkYHctY/f0oOSTwXZ/L6kpatfQ\ngS6M6my92rf39opK23HBB2pqt5RV/DWi9Z/uGpadfv5CucluEzlUrf5+6EB/5yntYJXqk/7x\nt5+/YHvxn4VFM0OCh7VWLbCmsPgd0Z7vpKDA/w3qr6Ko9Qn9MgyNtqNbzIIw70L26ZHDXfWX\nRkfgthdyG3JAMeCpYrLnxzBvx8WeGjl8lP18CgujIHxaUfV8fuGK/ILHL+U9filvXmb2vMzs\nW9Izb0nPnH7uAnF0Og3waWJCF2yHJfv7PSZqfjxvaHwuryDm9z+mpmd8rivX2+cRv9SVDzt9\nxmFUR/y25QTh/ouXnPWRlJvMd2ZcJBJj/Xy8tw0eoJZ4TqvLBaiYv/eMPD1yeOrI4U/0jCRG\nv9p6oU+v5b1bmS/TcVODgxLtC6Q+KWl9GktbOGybmNDlbRO2LEk7hw/5M8zOIYlBKgd5mYG+\nPkRR3fG6+kNEC6rZDACf9o77rHcc8e7r4mJdu7ttS8sw4kEkz+RdJv6WE2vm+TvPX8w0NNpe\nVFPU9sEDWp35PD0k+FH7QkkTLzyUldNyz/5/SnQrRfOHk/39dg0Z6E3TAOBF098OToyyH35e\nbjLf5RmNFBjYIffRiAI7nFGsCCP8tL8nD3svoV+A81CgVRTARwPiF3RyEsjq9dg+wY5+U/IA\nv9TULcjKiTx+6r4Ll/ZU1ZSaTHMysx7KyiG2jOHauJCjg/qHqe068hz+ZgIAEy/cnZlFHHnk\nzzC7hgwMVTs4l91dkv39PugfV3LD6E2JCeJ0zsKekav7uSZt1jIKgNjUrjCbtzob6iHFD1XV\nJR7QNkF4KCK8rzf5IkkBfDEwYZDW19l7vRjTm/iD4P+zd+fhUVRZ/8BvLb1lJWQngYQkBBLC\nvi9hl0VQARFB0dF5HTdm3GZGB8UZfwoq6js4DuOG2zuKuywCAsoOCRAgBJKwQ8IaSMi+dNJd\nVff3R2vors5WSXW60/X9PD4+SXV155B0VU7uPffcpY7djKlg3d8p5Jne8i3d748IeyLatVVi\ntwV3llUXXLdYFzntHmFPpPTehv4ueqdHXAvXdvwzvnuM47cxq6o65eCRubmn/pF/8dvCG9nV\nNfZ53ndFNxaekXfbTvQxbeqTbH9D62LQf++0q8qhyqpHTsurANsfEjtwH+epWIzYeQuOYf4U\nFXl8yMAmpiCbwBCyokfcH9rxl2uoTvdGfGwTJ5gl6avCohnZx6PSD652WiZCCInU6zf2TX4/\nMb6vj2lNrx6yRQ+lgjD1WK6sSd7CM+dkv7FYQr5ISkxp/Ne2G/lw7AMRYXsH9MkdMuCp6C5d\ndHwwx70QE/1uj7h2G1q8PzxMNvXWRPd/kdKc6pq95RXNjup96Lgrrsl9yybs6VlmkdOa6Bdi\nujZdeTnAz1fWEmhbabn9pGGBROcNHGVhHH77D/b3+yBRPoDnCu/0iJP9BFdevZZe3uh2FE+c\nzXO+3P4YFfloi/sLBvDcxz0TZG/RM2bzd0U3Xs6/dPfxU30PHvHds69nRuaduSefPpu34IR8\nQ4tog/7nvr1l/VMIISMD/d9JkI9B/vda4TuX3bwjhYIau8WLF7flKy1ZsqQtTwfv08BULDqe\neJcog/773r02FJf88cx5RVtxv50Q93i7LzF7KDK8M88vv3w1rbyiiXmaBh+6KzTkvcT4+l5r\nQ/x9v+vd8/bsE/a1hpfrLFOP5e4Z0Mc2NPjO5YKPnDbseqV7zO3tsslEWyT7+ixP6P6PkCBR\nFIOD23V5RwDP3R8RZr9D1MHKqoyKqqEBv079V4nigYrKtPLK9IqKfRWVtgn0KIN+eUL3xtbf\nXKit21LisGxijvuWTcg8EBH+rysFx38b650R3Pn/xXZr9lkvxHSVNUZZeuHy+j5JhJA6SZob\nGn3NceFamF63OqWXsV06EkQb9C937/a03aZ5EiGPnj57eHB/59qDVy9cftcpcZ8dGqy0/HRi\nUKfHoyKb2FhMoPR0jbnBPYiDdfyWvr1jnIZObR7pEnG4skq2896fz+X19fNR1CxGXQreu0uX\nLm3LV0JiB3K8jrAssf9jGomdN5oR3Hl8p8Bl+Ze2FJdYGKZCkiglZYJACSlzKq/x5bi34mNb\n/ue4umaHBs8ODc6rrV11veiL60WnWrDZfCee/0+PuHucCsCndQ5a2TPh946rInKra+7IPvFz\nv957yiv+fE6+Iez8sNBFLVuvp2ULoyLfdexO/Maly3eFhqSVV6RVVB6rqnZeuHOlzjI399St\nwYX/6RHvPLnpacsm7OlZZmu/3n/Pu3iqxjymU8DimK6NrQC1NyLAf0JQoH0B6Mbikqyq6v5+\nvn88c/6A0WHdgI7Sb5N7tmfJ/5+iIj+/XpRptyInu7pm+aWrz3aLsj/ts2uFi50K3VIDA1Yl\nJba8FVG9ZXExm0tKzyncWMyP437q07uJiW9CyL97xOVU1+yzGxMVKJ2be+rQoH7dGkkHXU1B\nYhcVFUUIqaioqKz89R/g6+vr5+dXVVVVXf1rU01/f/+AAHcWnEJHwjBErye1N6809Cj2Vr4c\n92K3qCcC/Uwmk6+vfD2arXq61CoQQiL0eh/OzSUi3Y3GxTFdF8d0zaioWlVY+HXhDdlyvHq3\nBHX6pFePxpbNPhARdrXOIqvC3lNeMSvnZEZlpSz/GOzv93Ev+YQROEvyMU0M6rS19ObeAz8U\nFTv3UHT2U3Fp77LMl2K7PR3dpb6TmfOyid7uXjYhE6nXr+yZoPRZi2O62id2lJClFy5NCOrk\nPEj8pmBu5yYdHMO8nxg/IvOY/Yzn/7twcW5YSH3avamk9OFTZ2UZem9fn3V9klo3sujLcT/0\n7jU9+/iVFu8ZqGeZ1Sm96geDG2Ng2e979xp8+GiB5eYrF1mtr1y41IofnCoUfIMuX778wQcf\ncBwXHh7+r3/96+LFi1VVVdeuXauqqrp48eLy5cvDwsI4jvvwww8vN8R1/wbouOSzsaix06Qg\nng/i+TiTMc5kdHtWZ29ogN+/EuKujBiyoU/yvLAQ+722fDj23z3itvTr3fQGSs/HRDvPKW8u\nKZWt/43U69emJJnQnbtl/tjaafoaUXr2XP6gw0fra84aWjbhntFidY3vFDgy0GHT9tVFxU+d\nla8JuO9y3h+ZZhalusIQf7/HHUfla0Tpj781Hz5YWXVX7imrU6Hbpr7JDa5waqF+fr7nhg3a\n2T/lvcT4P0ZFTgwKjNA3evFyDLMqqectQS1qq97FoP8hxWEhxYMRYc5LgNuNgu9RTk7OXXfd\n1aVLl71790ZEOPxIunbt+tRTT82dOzc1NXXOnDmHDh1KTk5WO1TwRrKFsVgVC56HZ5jpwUHT\ng4MqBHH1jeJtpWVBPP+n6MgWNs1/J6H7NYulwfUWNkaWXZPSK6q5HTah3ozgoBijQVHVpr1j\nVdWjMo89GhX5aveYBpZNRLiwaWJ7eqFbV/sWbpJTl+PB5SX/zj1Muk5v99AIIWRJ95gfbhTb\nZ9Ubi0t/KCru6+cz/dhxWQOgIJ7f1Ld32+eLDSw7tlOg/QhlqSAcr645XmM+Xl2TW11zoqbm\ncp0lQq9/O6H7HCULv0YE+P87Ie6R0+d0DLM8oXuzPcldSkFit2zZMrPZ/NZbb8myunpdunR5\n880377zzzjfffPPTTz9VKULwao41vJiKBU8WwHMPRIQ9oLADC8cwq5ISJ1tyG2tl92HP+GEB\n/g0+BA3iGOaxLhF/a7xNhg/HDvX3Hx0YMNDf9+OC67KVBIQQiZB3rxSsLioutDgM190VFtKW\nMSGPMi04aKC/X2YjzaXDLLVfH0kzSiLh3fMXRQDP/Ssh7q5ch+1cnzx73sCyRY672RpZdm1K\nkouWigfx/KjAAPsmPhaJ6ltSyejk4S4RebV10zoHtWU3NlUoeAfv3LmTEDJu3Lgmzhk/fjwh\nZNu2bW0KCjSD0Rsc/oS0tLT6AaADMbLsuj5JqUeynVvZ/bVrlCd01uhwHu0SubLgun0tfBeD\nfmSAv+2X9AA/3/oqulkhwd8V3XjqbN5Vp+Kqa043HE9oX6cWhpDnu0XPccycbHSS9GVmerS5\nhhBC3NcxcU5o8K3BQT/Zpd3OBXC2BkDtmSq1Lquzea1dGjo2S0FiV1hYSAihTguO7NketZ0J\n0DzHoXWKqVjwUkE8v6lv8sjMY/at7G4NDvKQ3wQdTiDPHRjY76OCa4VW6wA/v1GB/k1sQnBX\naMjkoKAX8i68d6WgiY52vX19XLSblrvMCglO9vU57vTnxBsns0aXFv36iVtbYa/oEZdSdqRG\nbPTH8k6PuNb1wtQyBbW6tn5FTe8Ya3u0c2dP78MEnkJWM4GpWPBeXQ2GTX17129DNNjf76uk\nnq1o3AA2wTr+uW7R/xvffUF4aLNbSwXy3IoecekD+/ZrfJNQ71g2YY9liHOL4/svn3/swpn6\nTxm3Jnbdjca/N7JzGiFkUbdo9xardVAKErsJEyYQQv76179eunSpwRMuXLjwl7/8hRAyceJE\nVYIDrydfFYvEDrxaiq/PiaEDv0ruub5PUtqAvm3Zcg1aYViA/6FB/d6Mj/V12jnem5ZN2JsX\nFtLHrjptqL/vO7mZDmfwbt687pmuUQ3Wz/0uIqx9tqrzPgoSu0WLFul0ugsXLvTr12/p0qW5\nubmCIBBCBEHIzc1dsmRJ//79L126pNPpFi1a5LKAwbs4rorFlmLg9QJ5bl5YyIzgzm0p5YFW\n4xnmL12jcocMmBHsMLP0P5HhXrNswh7PMJv69r4nPLSPr89DkeE/JcQZJcc9jt29K7GOYd5P\njJflIrb+3rhCWkfB+7h3796rVq269957S0tLFy9evHjxYoZhDAZDrV2DWZ1Ot2rVKvQ6gZZy\nXBWLdicA0A5ijIb1fZJ+KCp+7eLlq3WWWaHBy+Ji3R2Uq0QZ9KuSEm0f07JS+fIEdyd2hJBR\ngQF/jI6s32J1aIDft717Ou8wBi2k7A+Uu+66q2fPnn/5y1+2bt1KKaWU1md1DMNMmjTprbfe\n6tu3rwviBO/k1KAYq2IBoJ3cGRqsucJ8Qb6Hintr7Oq9nRDXx9d3T3lFLx/TE1GRznPl0HKK\nR5779u37888/X7p0KS0tLT8/v6qqys/PLzY2dtSoUV27NloCCdAwx8bfWBULAOBCVqd9Jjwj\nsWMIeSgy/CEvajfjRq0sKejateu8efPUDQW0SD4Vixo7AABXoVanXY/dvXgCVIetCcGd5FOx\nkuQ8UwAAAOoQnMpdPGPEDlSExA7cymnvP+rUeRwAANThNGLnITV2oKKmpmLr94Q9f/68j49P\nY1vENujatWttigu0gdE7bepcV0t8G+0gCgAArYepWA1oKrG7fv267QNJkuw/BVCNwalfPFrZ\nAQC4iKzWheMIi4k7b9NUYvfKK6/YPjAYDPafAqjGcVUsIYTW1aF5EQCAK8gXT2Ae1hs1ldgt\nXry4iU8B2o5xHrHDwlgAABdxTOwYzMN6I4zBgls5LZ7A5hMAAK6CETsN6Bhb47388suHDh1y\nPn7bbbf94Q9/kB0URfHHH3/cvn17QUGBwWBISkq6++67e/To4fz0lp8JrsKyhNfZl31QbD4B\nAOAissQOI3beqGMkdjZdu3Y1mUz2R8LD5V2qRVF85ZVXMjMzTSZTSkpKRUVFRkbG4cOHn3/+\n+SFDhrTuTHApxmCg9vW8GLEDAHANKmDEzvspTuysVuvPP/+ckZFx7dq1mpoaSmmDp33xxRdt\njk1u4cKFycnJTZ+zfv36zMzMmJiYJUuWBAYGEkL27Nnz5ptvLl++fOXKlb52fTRafia4lsFA\nqqtufopVsQAALiKrsUNi542UJXZbt2598MEHL1++3OyZrkjsmkUpXbNmDSHkscces+VqhJDU\n1NS0tLT09PQtW7bMnj1b6Zngco5ldhSLJwAAXAQ1dhqgILE7cuTIjBkz6urqCCF+fn4JCQme\nNqx15syZ0tLSkJAQ2cBeampqenr6/v3769O1lp8JrsboDQ6jvkjsAABcBDV2GqAgsVu6dGld\nXZ2vr+/7779/991369o901+/fv1XX30lSVJoaOjAgQNHjRrFcZz9CXl5eYSQ+Ph42RNt6yHy\n8/MppQzDKDoTXE7W8QRTsQAAroEaOy1QkNjt3r2bELJs2bIFCxa4LJ6mpKWl1X+8ffv2H374\nYfHixaGhofUHCwsLCSEhISGyJwYHBxNCamtrKysrAwICFJ1pk5OTU79JGqWUUlqn+YEl234k\ndXV1bc2AHe8sotksdvDvrSiKjdWeapkoirb/e/21I4qi1Wr1+veA7R/o9T/NZkmSJElSh/k+\nOMYpsaxakVutVkKIIAgd5lvRXlR/h1id94VzpCCxKy8vJ4RMnTq1TRG1SnJy8siRI5OTk0NC\nQsrKyo4dO/b555/n5eUtWbJk+fLl7G87opjNZkKI0SjvectxnE6ns1qtZrPZlq61/Eybr7/+\nevPmzbaPGYYRRbGystI1/9YOpqqqqvmTmmRkGPvMTqiuNnvF97a2Fst7G2CxWCwa6GjT7J3X\na+BOaNNRvg8+dbX281xWQmpVjbyurg6JXYNUfIeomdhFRERcvHjRLROUc+bMqf84LCxs0qRJ\n/fv3f+KJJ/Ly8tLT00ePHm1/coMRNvjXc8vPnDx5cn1/u/fee49lWU+rL2x/tbW1oij6+Pi0\n8S3B+Dh8J3lR6OjfW4vFwrIsz3ekXkLtQBTF2tpanU6nd9pHzstYLBaO42SFIt7HbDZTSn18\nfNwdiJtJkmSxWJyHCTwTK0n2n/ImH7Xut7axOr1e3/5lWh5O9XeImondlClTVq5ceeDAgbi4\nuLZFpYKQkJCJEyeuW7cuOzu7PrGzdbmzjcbZE0VREIT6ExSdaTNmzJgxY8bYPv7ggw9YlpWd\noEEWi0UURZPJ1MbETvD1Fe0+ZQRrR//eSpLE87zBeVMNbbNarbW1tTzPd/Sfb7NEUdTr9V6f\nv9bV1dnuAO4OxM1svzU6yvfBIor2Qxe80cirFLltrE6n03WUb0W7Uf0d0uyogYItxZ577rmA\ngIClS5dWV1e3LSp1REZGEkLKysrqj9jq7W7cuCE7s7i4mBBiNBr9/f2VngmuxugdEyAM4wMA\nuIjVoRACfey8koLELj4+fs2aNVevXh0zZsyuXbskxxHd9mer+bPPgm1DiefOnZOdeebMGUJI\nbGxs/dhSy88ElzMgsQMAaBfoY6cBCqZiU1JSCCE6nS4zM3PcuHEBAQGRkZGNDQnm5OSoE2Aj\nrFarbZVuYmJi/cEePXoEBQXduHHj+PHj9g3q9uzZQwgZPnx4K84El9OjQTEAQLsQBIdPeS8v\nGNAmBSN2ubm5ubm5tkYhhJCKiopTp07lNkLFEI8dO7ZmzRrb+JxNQUHByy+/fOXKFX9//3Hj\nxtUfZxjmjjvuIIS899579efv2bMnPT3d19d38uTJrTgTXI2RjdgJVuLuwWAAAK9EMWKnAQpG\n7BYuXOi6OJpQUlLy6aeffvbZZ+Hh4QEBASUlJcXFxZRSX1/f559/XrYm64477jh69OiRI0ce\neeSRpKSk8vLys2fPsiz79NNP+/n5te5McC1ZYkcpsVhIB1liBgDQkTjW2BEdFu97IQU/1BUr\nVrgujib06tVr9uzZubm5169fLyoq0ul0MTExAwcOvO2222z9hO1xHPf3v/993bp127dvz87O\n1uv1Q4cOnTt3rv2MrdIzwbUM8hyO1tUxSOwAANRFKRHtmxAQBluKeaMOkK1HREQ88MADLT+f\n47jZs2e3ZLPXlp8JriNfFUuwqxgAgAs49z/TocbOCymosQNwCed+b3XYswEAQGXyAjuCGjvv\nhMQO3M0psaMYsQMAUJ2AxE4TFEzFLlmypOUnL168WHkwoEXyVbEErewAAFzAacQONXZeSUFi\n9+KLL7b8ZCR20FK8jrCsQ4sTJHYAAKrDVKw2KEjsnJeg2giCUFFRQSklhPj6+naUvZDBUzAM\n0etJ7c26OvQoBgBQHWrsNEJBYue8s2q9ysrKjRs3Llq0SBTFtWvXDhw4UI3YQCsYg4HaJXZY\nFQsAoD7BIj+CxM4bqbN4wt/ff968eRkZGSzLTps2raCgQJWXBa3QY7tYAAAXc66xQ2LnjdRc\nFRsaGvriiy8WFhYuW7ZMxZcF7+fYoxirYgEA1GcV5EeweMIbqdzuJDU1lRDy448/qvuy4N3k\nPYoxYgcAoDrZVCzLEhYtz7yQyj9UnU5HCLl69aq6LwtezoDEDgDAteSLJzAP66VUTux27NhB\nCPH391f3ZcHLOSZ2FDtPAACozjGxY7CfmJdSM7Hbtm3bs88+SwgZOXKkii8LXk/eoxg1dgAA\nqsOInTYoaHcyb968xh6qrq4+ceLEuXPnCCEcx/3tb39TITTQDr1sxA6JHQCA2mRbimHlhJdS\nkNh98803zZ7TqVOnDz/8cMSIEW0ICbTHcVUsRuwAAFSHGjuNUJDYTZw4scHjDMMYjcbIyMhh\nw4bNmTMnMDBQpdhAK+RTsRixAwBQnbzGDomdd1KQ2G3dutV1cYCm6R1qeDEVCwCgPiumYjUB\nPWzAA8imYrEqFgBAdQKmYjUBiR24n3wqVpLkNyAAAGgb1NhpBBI78ACyxI4QWue0WTUAALQF\nauy0AYkduJ98SzGC2VgAALWh3Yk2ILEDDyCrsSPoeAIAoDZMxWoDEjvwAHr5zjZYGAsAoC7U\n2GkEEjtwP/niCYJWdgAAahNQY6cJSOzAAzhPxaLGDgBAXRix04amErvo6Ojo6Oj6T7du3Zqe\nnu76kEB7WFZWxkstWBULAKAqNCjWhqZ2nrhy5Yr9p7fcckt8fPzZs2ddHBJoEWPQU/tpAozY\nAQCoCjV2GtHUiB3LsoQQQRDaKxjQMNlsLFbFAgCoy+o4E4LEzks1ldh16tSJEHL+/Pn2CgY0\nzLGVHVbFAgCoiVIiivYHGEzFeqmmpmIHDBiwbdu23/3ud48++mhgYCAhpLq6eu3atS153Zkz\nZ6oTIGgDYzBQ+8+R2AEAqMh5n0advM8UeIemErvHH39827Zt+/fv379/v+3ItWvXZs2a1ZLX\npZQ2fxJAPVnHE0zFAgCoR15gRwjRNZUAQMfV1FTs7NmzV65c2b1793aLBrTLscYOU7EAAGpy\nTuwwFeulmknYH3rooYceeqiysrKmpiYiIiI2Nnbfvn3tExloCiPbfAKJHQCAipwSOwZTsV6q\nRSOx/v7+/v7+hBCO4yIiIlwcEmiSbFUs2p0AAKiogalYjNh5JwVT7CtXrrQtoQBQn2xVLGrs\nAADU01CNHRI776QgsXvooYdcFwdonHy7WEzFAgCoyHlVLI/FE96pNT/X4uLiVatW7d27Nz8/\nv7Ky0t/fPzY2NjU19d577+3cubPqIYImILEDAHAd1NhphrLEjlL69ttvv/DCC2az2f74wYMH\nv/vuu7/97W+vvfbaE088oWqEoA2YigUAcB1MxWqGssTu+eeff/31120fh4SEJCcn+/v7V1VV\n5ebm3rhxo6am5sknnywqKnrllVdcECp4M/lUrNVKJImwTbXjAQCAlhIc9xNjWdxgvZWCn+uB\nAwdsWV3fvn1/+eWXwsLCXbt2bdiwYefOnYWFhdu3b+/fvz8hZOnSpQcPHnRVvOCtZIkdpcRi\naeRUAABQRr54AsN13ktBYrdixQpCyIABA9LS0iZNmsQwTP1DDMOMHz9+7969gwYNopTazgRQ\nQNbuBLOxAAAqEgT7z1Bg58UUJHa7d+8mhCxdutTPz6/BE3x9fV977bX6MwFajnGssSME6ycA\nANSDETvNUJDYXb9+nRAyePDgJs6xPVpQUNDGsEBzDE6JHUbsAADUYnUsbkGvE++lILHT6/WE\nENl6WJmamhpCiMH5lzRA05zeMxSbTwAAqAQ1dtqhILHr3r07IWTDhg1NnGN7NC4uro1hgdbI\nV8USTMUCAKgHNXaaoSCxmz59OiHkxRdfPHr0aIMnHDt27IUXXqg/E0ABXidfe4/EDgBALbIR\nOx4jdl5LQWL31FNPBQYGlpSUDB8+/JlnnklPTy8vLxdFsby8PD09/Zlnnhk2bFhxcXGnTp2e\neuop10UM3olhiN7hL0isigUAUI2sxg5Tsd7gKQwbAAAgAElEQVRLQflkWFjYDz/8cPvtt9fU\n1Cxfvnz58uXO5/j6+q5ZsyYkJES9CEErGIOB1trV1WHEDgBAJaix0w5ljacnTpx4+PDhadOm\n2Texs2EYZvr06ZmZmePGjVMtOtAUPbaLBQBwDcfEjsFUrPdSvOC5V69eP/300+XLl/fu3Xvh\nwoXKykp/f//Y2NjRo0dHRUW5IkTQCscexZiKBQBQjYARO61oZSeb6OjoefPmqRsKaByjN1D7\nzzFiBwCgFkzFagb2AAaPYcBULACAS6DGTjuQ2IHHcEzs0KAYAEA1AtqdaAUSO/AU8h7FqLED\nAFCLbPEERuy8FxI78Bh62YgdEjsAAJVgKlYzkNiBx8CIHQCAa1CsitUMJHbgKRj0sQMAcBGM\n2GkGEjvwGPLFE0jsAADUQCkRRfsDaFDsxZDYgceQtzvBqlgAADUIVkId+oRixM6LKUjs/Pz8\nfHx8PvroI9dFA1rGOO48QSRJvj4fAACUkzexI0jsvJmCxM5qtZrN5sGDB7suGtA0WY0dIbTO\n4pZAAAC8inNih6lY76UgsYuMjCSEMAzjsmBA0+R97AhmYwEA1OCU2DE6vVsCgXagILGbOHEi\nIeTAgQMuCwa0zWnEDh1PAABU4FzWgqlY76Ugsfvzn/9sMplef/31kpIS1wUE2uU0YoeFsQAA\nKmhgKpZ3RxzQHhQkdsnJyd98801xcfHw4cN/+OGH2lpMk4GaGpqKRWIHANBWWDyhKQpy9pSU\nFEKI0Wg8c+bMnDlzeJ6Pjo729fVt8OScnBx1AgTtkK2KJaixAwBQA2rstERBYpebm2v/qSAI\n+fn5KocDWsayhNfZ14JQC1bFAgC0GUbstERBYrdw4ULXxQFACGEMeocNDTFiBwDQdrLFEyxL\nWGxP4LUUJHYrVqxwXRwAhBBiMJLq6pufYlUsAECbyWvsMFzn1ZCzgyfRY7tYAAC1OY7YYaNY\n74bEDjyIfGEsauwAANoOI3ZaojixE0Xx22+/nTVrVrdu3Xx8fBISEuofys/Pf/vtt999911V\nIwQtkSV2qLEDAGg7q+MfyUjsvJqyFoXXr1+/884709LS6o8IglD/cVhY2JIlS4qLiwcNGjRs\n2DDVYgTtcOx4gqlYAIC2o3a/qQlBYuflFIzYWSyW6dOnp6WlcRw3a9asN954Q3aCj4/P3Llz\nCSHr169XM0bQDEbv2FoJiR0AQNs5TsWiiZ13U5DYffzxx4cPH/bz89u9e/fq1av/+te/Op8z\ndepUQkh6erpqAYKmyHoUY1UsAEDbyWrssJ+YV1OQ2H399deEkJdeemnkyJGNndOnTx9CyMmT\nJ9seGWiRfFUsauwAANoMNXZaoiCxy87OJoTMnDmziXOCg4MJIcXFxW0MC7RJviq2DqtiAQDa\nyqmPHaZivZmCxK6qqor8lro1pq6ujhDCY5gXWgerYgEAVOe4eAJ97LybgsQuKCiIEHLt2rUm\nzrHtJxseHt7GsECjZFOxqLEDAGg79LHTEgWJ3YABAwghGzdubOKcTz/9lBAyfPjwNoYF2iSf\nirVaiSS5KRYAAG+BGjstUZDY2VqZvPrqq+fOnWvwhFWrVn3++eeEkPnz56sSHGiOLLGjFJtP\nAAC0kbzGDlOxXk1BMdz999//9ttvZ2dnDx8+fPHixbfddpvteFVV1aFDhz7++ONVq1ZRSlNT\nU+sf8laUUqvsOtEeSikhxGq1Mgyj2mty8jektaaacJxar98+JEkSRRHvEBlbM3NJkrz+O6OR\nN0D9HcDdgbiZJEme/xuBOo7YSRynesCiKNr+7+Hfivan+juk2ZdSkNjxPL9+/frx48fn5eU9\n9dRTTz31FCHkwoUL/v7+9eckJiZ+8803rYu1A6GU1mm+d64kSYQQi6ojagxhZO9IS2UldSy8\n83yCIEiSJGES2ZHtGyKKotdfO/W/4dwdiGvZEjuv/2k2i1IqSZKHfx94i8X+72+RYUS1A7a9\n4QXZFhfggneImokdISQmJiYzM3PRokWfffZZba3DikWdTvfggw8uW7asU6dOisPsaFiW9fPz\nc3cUblZeXi5Jkq+vr5ojdkFBsjzRh+eYjvatrq6u5nneYOhg+airWa1Wi8Wi0+l8fX3dHYtr\nVVVV6fV6vd7LO0qUlZWJoog7oSiKVVVVHv59sIgitftU7+vLqR1wXV2d1Wo1GAwmk0ndV+7o\nVH+HqJzYEUI6der03nvvvf7663v27Dl16lRZWZmfn198fPz48eOb7oQC0DynZIjW1aqWNgIA\naBIVUGOnIa1sOBcYGDhjxowZM2aoGw1oHOM86+rZExwAAB0A2p1oiYJVsQAup9MR1vE9icQO\nAKAtKCWOFZ8MEjuv1soRu7KysoyMjPz8/MrKSn9//9jY2KFDh2qhug5ci2GIXk/syjfRoxgA\noE0EK6HU4QgSO6+mOLE7f/78okWL1qxZIyvf0+l0s2bNeu211+Li4tQLDzSH0Ruo/bocjNgB\nALSBvIkdQWLn5ZRNxW7atKlPnz7ffvut86IMq9X67bff9unTZ/PmzeqFB9oj3y4WiR0AQBtY\nnVqQYPGEV1OQ2J09e/bOO++sqakxmUxPP/307t27i4qKzGZzUVHR7t27n3zySaPRWFNTM3v2\n7LNnz7ouYvBy2C4WAEBFgrzbKGrsvJuCqdilS5eazebw8PAdO3YkJSXVHzcajampqampqX/4\nwx8mTJhQWFj46quvfvLJJy6IFrwfYzA6FINgxA4AoC0wFasxCkbsfvnlF0LIm2++aZ/V2evd\nu/cbb7xRfyZAa2AqFgBARc6JHaZivZqCxK6oqIgQMm3atCbOufXWWwkhhYWFbQwLtMsxsaN1\ntY2dCAAAzcLiCa1RkNiFhIQQQpreJ8f2aGhoaBvDAs2S9yhGjR0AQFsI8sSO0Xn5fncapyCx\nGz16NCEkPT29iXPS0tIIIWPHjm1jWKBd8hE7JHYAAG3QwFRsK1vYQoegILH761//qtPpnn32\n2bKysgZPKC0tffbZZ/V6/V/+8heVwgPtMWDEDgBAPbLEjmUJx7kpFGgPChK7wYMHf/HFF+fO\nnRs8ePCqVasqKyvrH6qsrPziiy8GDRqUn5//+eefDxgwwAWhgibIp2IxYgcA0AbyGjusnPB2\nTY3HpqSkOB80mUznzp1bsGABwzDR0dG+vr5VVVVXrlyhlBJCgoODX3755ZdffjknJ8dVIYN3\nw1QsAICKHGvs0MTO6zWV2OXm5jbxKKX00qVLsoPFxcXFxcUqxAWaJW93glWxAABtIBuxQ2Ln\n7ZpK7BYuXNhucQDYMAajw+eSRAQBpb4AAK2ExE5jmvp9uWLFinaLA+BXsho7QmhdHYPEDgCg\nVaiAGjttUbB4AqAdMAZ5YoeFsQAArWdFjZ22ILEDD+M0YocyOwCA1sNUrMYgsQMP4zRih4Wx\nAACtJyCx0xbFpUsVFRVr1qzJyMgoKCgwm822LifONm/e3ObYQIsamIpFYgcA0FryPnbYT8zb\nKUvsvvzyy4ULFza28wSACmSrYglq7AAA2kBWY4fFE95OQWK3ZcuWBQsW2IboYmNjExMTTSaT\nywIDrWJZwuvs5w4wFQsA0HryETs0GfByCn7Ar732GqU0Kirq22+/HTlypOtiAo1jDHqH9fkY\nsQMAaDWrxeFT1Nh5OwWLJw4dOkQIefvtt5HVgWvJZmOxKhYAoLWoIDh8zqPGzsspSOw4jiOE\nDB061GXBABBC5B1PMBULANB6aHeiMQoSu4SEBEJIeXm5y4IBIMR5YazF0siJAADQHMepWAY1\ndt5OQWJ33333EULWrFnjsmAACCFOrewwFQsA0GpWbCmmLQoSu8cee2zUqFGvv/761q1bXRcQ\ngKzGDlOxAACtJt8rFn3svJ2CIVmDwbBhw4ZHHnlkypQpd9xxx9SpU7t06cI3sjv71KlTVYoQ\nNIfRO953kNgBALQaauw0RvFce0xMDMuya9asaXpOtrEdKQCaJ1sVi3YnAACtQykRRfsDDBI7\nb6cgsSstLR03btyxY8dcFw0AIc6rYlFjBwDQKoJAZOMsSOy8nYLE7tVXX7VldbNmzbr33nux\n8wS4iHxVbB1WxQIAtIpsHpZg8YT3U5DYrV69mhDypz/96Z133nFZPACEyGvsMGIHANAa1Dmx\nw4idt1OwKvbKlSuEkIcffthlwQAQQpxWxaLGDgCgdQT5jAdq7LyegsQuNDSUEOLn5+eyYAAI\ncZ6KtVqJJLkpFgCAjsyCqVjNUZDYTZgwgRCSlZXlsmAACCFODYopxeYTAACtIO7bLT+EETtv\npyCxe+6553x8fF555ZXaWtQ8gSvJ2p2gRzEAgHJS3jkxY5/DIZMPExDopnCgnShI7JKTk7//\n/vvz58+PGzcuLS0NnerARRjHdieEoJUdAIBCgiD88LWs1wk/YTLhOHdFBO1DwarYlJQUQohe\nrz9w4MDo0aMDAgIiIyMb23kiJydHnQBBgwxOO94gsQMAUELY8Qstum5/hImM4kaNdVc80G4U\nJHa5ubn2n1ZUVFRUVKgdD0CDU7G1jFsiAQDogGhRobjTcVd3ltXddQ+G67RAQWK3cOFC18UB\nUE++KpZgu1gA7ZEk6expUlfLdI9n/PzdHU2HQqnw/ZdEcFgPy40ex0R1dVdE0J4UJHYrVqxw\nXRwAN/E6wrIOLU6Q2AFoCS0vE774RLqYTwghLMsm9uIGDGZ79yU6pzoNcCJmpEv55+2PMEGd\n+VtudVc80M4UJHYA7YRhiF5P7BZfo0cxgHZIeeeEVZ/Syt9KfSRJOnlcOnmc6HRsUgo3cAjb\nM5mwClb+aQqtrBA2rZcd5O+YI9/RB7wXEjvwRIzBQO276mDEDlRCqyoZoxE9Wj2WuGeH8NO6\nhnuSW63SsSPSsSNMYCDbbxA3cCgT2aWtX0+wUrOZ8Q9o6+t4DGHd98RcY3+E7T+YTUpxVzzQ\n/pDYgUeSdTxBYtchCNYGdhyvZ7UyVgsxmdoxoF/Rygrp7Gl69rR09hQtKyV6A5c6jp8whTSy\nqB9aRPWOVxaL9fsvpaOZzX/l8nJx93Zx93Ymogs3cAg7aGhrivAEq7D9Z3HPTmKpY7vF8vPu\nZ4JDWhN2S9TVEUls6gSdTpU/NqTj2VK24yYCPj78bbPa/srQgSi4ry1ZsqTlJy9evFh5MAC/\nkW0XW4ee2B6NlpUK33wu5Z1r+pe9HyGkU5CYOp4bNsrl7e9rzdL5s9LZ09LZ0/R6gcNDljpx\n2xYp5yg/5162W4xrw+igKJUu5JGyUmquIWYzNdcQcw01m4m55rcjZlOtmRqM1h49uaEj2cRe\nhGnTynVaXGT978f02lVlz7p2VfhpHdm6iRszkR87seWzjdKZU8Kab2lx0a+fXsy3rvhffsGD\nbHyisribDq+qUjqQJmbso2WlzZzKMGxCIn/HHCY0vPVfr65OWPud7Bg/fSaWnmiNgsTuxRdf\nbPnJSOygLRi9wSFBwJZink346v9kxdqNKisV1q8Wd/zCjZ3IDR+trO5HEGhRYdMjH7SmRjp/\nhp49LV2+2PQWw/T6Net7y7nR4/jJ0z16kyVJomWltKSYltygJcW2/0hpCdHr2QFDuJGpqv/a\nplcvW7/7kl693OyZTF2tlHNUyjnKBHXmBg9nhwxnAju14itKJ3Ks33xOzGb5AzzPT5xKy0rF\nY0dk04sOLBZx6yYpI52bPJ0bPKzpFJNWVQob1khHDsmP11RbP3qXv/1ObkRqK/4J8le7fFFM\n2yUeO0IEoWVPoNKZU5Z33tLdeTfbf3DrvqiwZT0tL7M/wsb34AYNa92rQcelILELDg5u8Lgg\nCBUVFbaNKHx9fY1GeRMyAMUMmIrtMKSzp1ua1f2GVlUKG9eKO7dyYyZwI1PlM+8yVqt0+oSY\nnSWdyCHq7mcoSeLu7dLxbH7OfLZ7gpqv3Cq0uprczN5++6CstLEMVdy2Wdy9jRs0jBszngkO\nVSECQRC2bxF3biVik/OGzpGXlgi//ES2bWYTk7hhI9levVu6uIFSYetmcdtm57FeJjCQX/A/\nbLdYQgh/+53SyePikQzp5PHGUiVaUS58/6WYtoufPpPt0bPBryUe3C/8tK7RHFGShLXf0YIr\n/B13tbLfmyiKx45I6bukixda83RLnfWr/3Lnz/G3z1Y6MytdvCCm73E4xOv42fPaOJIKHZGC\nxO7GjRuNPVRZWblx48ZFixaJorh27dqBAweqERtomGNih6lYTybvg9pitLpK2PSjuGsblzqe\nGzmGyP4mtFqkk8fF7CzpRK5Ltx6hN4qsH/ybG5HKT7utmRRTLYJAS4tpcTEtLabFN379uORG\na/6AsVrF/XvFA2lsSj9+7ESma+tnlqWLF4Tvv5RPWyt7CUk6mSudzGX8A9ghw7khI5jODQ8H\n/MpcY/36v9LJ486PsHEJ/L0P3hyM5Hk2pS+b0peYa8RjR6TMg9KFvAbn/WnBFetH/2F7JfO3\nzmTCI24ev14grP6mJX+BiAfSaeF1/r7/YXz9mj355utXVoj706QDaTcX87aWeCBNunRBt+BB\nBcm6KAo/fCXfPWziFCZEjXQfOhp1aof9/f3nzZs3ceLEIUOGTJs2LSsrKzIyUpVXBm2S9yhG\nuxNPRa9cks6cbNMr1FQLWzYIu7fzo8dxo8YSjpVO5IrZWdLJ48Sq5hQ8ExjIxvcker2YkS4f\nA6NUTN8tncjh75zf8GCPWiwW4ccfxKxDTa0yaQVKpewsS3YWG9eDGzuR7ZmkbJzGahV+3iju\n3dn05LWCcCorxO0/izt+YWPjSOMLTumlC7S0xPk4N3ocP31mw2N+Jh9u2Chu2ChaUiwdOSQe\n2EvLy53Pkk4et5w+yQ0dyd0yjTEYhe1bxF3bGh6G5DjCMLJRQCnvnPXfb+l+93Dzq24ppRfy\ndHt3Wk7mKh3mbOpVr162vPOmbs49bJ/+LTlf3L1dVp7IRHThxk5UKx7oWNRcFBYaGvriiy8+\n9NBDy5Yte/vtt1V8ZdAcvWzEDomdhxKchuv4OfcwnYIaOFMQak/m6o8cZBr8aZprhF9+EvZs\nJ6KoZtJj8mHjE9iEnmxCYn1ZOjtoqPDdKlp4XXYuLS2xfvwuN2Q4P30mMZpuLhqoNZOaGmo2\nk1ozNdeQmhomKIgdMpLx9VUUC62usn76Ab3Uqkm6lpHOn5HOn2EiIrkxE7n+g1oynyjlnRO+\n/4reKGzgMYZhTD7EZCImH9sHzM2PfWoEgT1zkj9zstEyMkqlvHPK/gF6ve7O+Wz/Qc2eyHQO\n5iZO4caMF3dvF3Zua+BvP0kS9+8Vsw4xJp8G00dCCBsbx8++m9bWCp9/LBtpo6UllneX6+6+\nj03p28Az6+qkMyelk7nSiVxaVdn0d5npHMyNSGUioxo7gZaVChvXyEsMa2utX3zCjRrDT5/V\n1M+RUulCnrBts+OXZPg752H3MM1SebV/amoqIeTHH39EYgdtghG7joDeKJJyjtofYeMSuCHD\nGzyZsVotoeH8mAn6zAwxbVcDlfKEqFNCp9OxsXFsQiKb0JPpEu088MN2i9U/+ZywbbO4c2sD\nQ3cZ+8QjzY+oMbt38PPuZxN7tTAoWlxk/fj9+mWYrcFxTFBnpnMI0zmYmExS1uHG8hV6rUD4\n9gtx83ompjsTHsGGRzJh4UxouPw3vcUibP5RTN/T4JwmExzKz5nPxjVaeiiWlVl69e5sNEqZ\nGWJGunOirBQTHKq7/3+YCCWt6XR6buJUduhI8eeN4qEDDYw41tbSBt9UJh/+1tu5ISMIwzCE\n6P74Z+t/P6JXLjmcY6mzfvExf8s0bsIU2wgoLb4hnciRTh6Xzp9pfnyOYdj4HtyosWxSSrMD\nqGx8D+sXn8gDIERM2y1dyNct+D0T1Nn+OC2+Idna95w7Q6urZM/iRqTaahNBm1RO7HQ6HSHk\n6lVlS9YBZBhZu5PSUlpViUX7nkbcvU32q5QbN6npp1Cjib/lVj51vLh3l5C2k9Q0vtRRxmhk\ne6VwffozXRod+SCEEJZl/AOaH6vgeX7KDC6ln/W7L2nBFfmjLRgypNVV1k/e4yZM4SdNbXah\nAL10wfrZh7SqstmXtWH8A5jOwaRzMNM5hOn8azLHBHZyyA8mTxePZoq7tjUQv+2LVpTT7CyS\nTX5NQFiW6RzCREQyYeFseATheOGndbSkuIFnsiw3aiw/ZXpL9u9ifH251PFc6ngp/7x0IF3M\nPtK6AVe2V2/dvPtb1+aQ8Q/g75zPjRorbFwrnW6+MIAdMJifMcv+fsJ0CtI/9qT1O6cuepQK\nP/8kXb3CdA6WTuTSopYlr3oDN3AIN3KMfZFfM/+EzsH6x58WNqwR9+2RPUQvX7T86w3d3HuZ\nbrH07Olf87lGcnpCCBPYiZ8yo4VfF7ySyondjh07CCH+/vgFDG0jewtZ6sSN6/i7F7gpGmgA\nrawQD2fYH2Eio9jEpBY92WjiJk3lRo8T03eLe3fQ6upGzzSZuKQ+bN/+bI9eqvcTZqK66v/0\nF3HHL8L2La0pkKJU3LaZ5p/j5/+uia0LpBM51i8/a7hlj07PBAczQcFMcAgT1JkJDmE6BzOd\ng1u0IyrLcgMGc/0HSWdOiru2SWdPN3O+JNEbhbYp1yb+qUxYOD/nHjame/MByMKJjWNj4/jb\n7xSzDokH0htLNxv6kgw3cSo/aWob128yEV10//O4dOqE8NNaeq3hJSBMcCg/6y62R0PjrDq9\nbv7vxIguws8bZUOYsmHppmIIDuFGpHKDh7cmQ+V5fuZdbPd46+qv5UPX5hrrfz8ipEVNofmZ\nd8nXIYHGqHmj3LZt27PPPksIGTlypIovCxrE9UoRfXxpzc3f9+KRg+zQ4Z7QkwJsxD07ZcVV\n/LiJyn43G43chMnc6LHivj3i7h0OA1o+PlxyX7ZPf7ZHT9eWCnEcN2kqm9LX+t2X9PLFVryA\ndO6M9V9v8PN/x8b3cH5UzEgX1nzrPEXIDRjCTb9DhZ2sGIZNTGITk+iVS8KubVJ2VusXQLAs\nN2Yif8vUNm2BYDJxI1K5Ean08kXx2JEmBpZsGB9fduCQVuSRjWF7Jul79BQP7hd/+cmhbI7j\nuLET+QlTmupZyDDchMlMRKT16/8qW6HMsmyPXtyI0Wyv3m1MT9l+A/VR0dYvPpVnxi3b54Pt\nP5hN7tOWAMALKEjs5s2b19hD1dXVJ06cOHfuHCGE47i//e1vKoQGWmYycdNuE374+uYRSoW1\n3+mfeBYVwR7BbBYP7LU/wHQOZvu2qs+R3sCNncSNGCMe3CedOcUEdmJ792Xje7TnD5qJ6KJf\n+Iy4Z7vw8yYiNDKTqDcwPj7EZKJFRbJzaGWF9aP/8JOm1hdjEUIIpcIvm0RZVTshhBBu3C38\n1BnqNhhjorrq7nmAlhSLe3aIB/crXVDMRHbR3XUvE9VVtXiiu/HR3dR6NWVYlhs2kus/SNi1\nVUzbTWrNbI+e/G13tnBilE3uo3/8aev/rWx4ntqeyYdN7EV6JtdEdQ2MUK0RBBMSpl/4jPDj\n92LGvhY/h2G6RHN9+3OpE9QKAzouBYndN9980+w5nTp1+vDDD0eMGNGGkAAIIYQbMkI6uF+6\nmF9/hF4rEPfuxBp+TyDu3yubLeLGTGhpT9oG6fXcqLHcqLFtjazVWJYbO4ntN0g6kXNzNajR\nh/ExEZMPYzTVJ5r06hXrqk/oDcdlEJIk/PyTlH+en3c/IYSIorDue/HQfuevotbeBg1iOgfz\nd8zhb7lVzMmiBVdp4TV6/VozndU4jp8wmRs/2dv+ZDIY+MnT+UnTiCAo2+DENqv7x78IX3wi\nnT/TwKPhEWyvFLZXMhsbR1hWFEVSJV++0FY6HX/nfCYuQVj9TRP77jAhYWxCIpuQyMYnEh8f\nlWOADktBYjdxYsO/UBmGMRqNkZGRw4YNmzNnTmBgoEqxgbYxDD9rruXfb9lPLQlbN7P9BjbY\nTQPaj2AV9+60P8D4+XODG14M27EwnYKazbqYLlH6P/3V+sNX0rEjsoek0yet/1rG3DqTHtov\nnjklf6ZOp5v/O7Z3Q+0z1OXjww21q4cx10jXr/2a5BVeo4XX67cuZaK76ebc03y3to6LZZVm\ndTaMr6/uoceFjWvF9N2EUsLzbFwC2yuFTerdTNdl9XADhrBR3axffGLfNZrxD2ATejIJiWxC\nIu6E0CAFid3Wra3sLw/QOkyXaG5Eqpi26+YhS52wYY1uwe/dFxQQ8dAB2QJPbtRYj95uVXVG\no+7eB8Xu8cLGtbJCQ1pezn/1f87PYHx8+QceVrGYTAGTDxsbR2Ljbh6praU3CgnLMpFR2HKq\nURzH334nN2YCLStlu0S3LkFsIyYsXP+nP4sH0mlRIRMWwSYktnylLWiWyqvMANTFT54uHTti\nP5ckZWdJp06wPVu2+hJUJ0nirm0ORwwG180tejJu5Bi2W6x11afNFmMxnYN1v3+MCQ1rn8Ca\nZzQy7iqA62iYTkFuHhjT6bnR49wZAHQ0baiJAWgHRiM/Y6bsmLDuu0Yr3MHFpGOZsjyGG57a\nuvZjXoCJ7qZ/8jm274Cmzonsonv0KQ/K6gDAqyGxA0/H9h/MxifaH6HFN4QdKAxwB0qFnY7D\ndTzPjXbfigdPYDTq7nmAn9Hwvk9szyT9408zqDwGgPaieCrWarX+/PPPGRkZ165dq6mpoY00\n1/niiy/aHBvAr/hZd1mWv27fQlbcuZUbOJgJDnXp16Xl5dKh/bSslImKZnv3VaHrmGeqqxMz\nM+iVS0xYBDd8lGyjXnvS6ZOy9lrcwKFMgOazFobhUsczMd2FVZ/Wr0sghHCDh/Oz7/a21aYA\n4NmUJXZbt2598MEHL1++3OyZSOxARUxoODdmgrjjl5uHBKuw7nvd7x9z0VeU8s+L6bulnKM3\ns8m137GxcWyfAWxKP48agKGXLgjbttCCK0x4JNtvIJfST77TbhPPvVEopu8WD2fU9y4Rd2/n\nJt/KDR7eYO8ScafjQCnLovtMPbZbrF06nJ4AACAASURBVO7JZ4W130nZWUSv5ydM5sYo7NgM\nANBmChK7I0eOzJgxo66ujhDi5+eXkJDg6+vrssAAHPATp8h2PZdOnZCys9g+/Rt+gihKJ3LE\nrMO0tISNjGITEpmExOZ3mxWsYtZhMX2P827chFIp75yUd46s/4HtFsv26c/26e/eqmp6vUDY\nslE6nm3rSk/LSqVTx4U137K9+3IDB7M9ejXaWI5S6dQJMX2XdPqkrKM9rawQfvhaTNvFT58p\n2x9Mupgva+vFpvRjQlw7aNqxMD6+unseqCov1xuNXIvTawAAFSlI7JYuXVpXV+fr6/v+++/f\nfffdOk11NwC30+n52++0/t9K+2PC+tX6nkmyqUN6o0g8uE+ya8khXr4oHtxHGIaJiGTjE9mE\nRDauh2xYi5aVivv3Shn7aHVzvUYplS7kSRfyyMa1bNduv47htVdrq19DKCkWf/lJPHKogY2G\nrBYp65CUdYjx82f7D+IGDHZY/1hrFg8dEPftkffXlb3+tQLrx++xiUn89JnMby315cN1hPDj\nJrX93+KFOA4DdQDgLgoSu927dxNCli1btmAB9mIHN2CT+7BJKdKJnPojtLxM+GUTP30mIYQI\nVinnqJixTzp/tuF9FSmlBVfFgqvi3p2EZdlusbYmn4QScd8eKeeo4k02KZUuXpAuXiAb17Ix\n3bmRqWyfAa4uqKKVFeK2LWJGerOb1tOqSnHvTnHvTiYsnBswhIlLkLIOi5kZLd8EUzp9wnL2\nFDd4ODf5VmI2S8ez7R9le/RUcQcqAABQhYLErry8nBAydepUlwUD0Az+jjmWs6ft98EU03ax\nMXFS3lkxM4PU1LT0hSRJyj9P8s+LWxvYylNObyCWZpIh2xges2EtO2wU6TuAuGKK1lwj7Nwm\npu1Sug0oLbwubNnQyi8qSWJGuph1mAkOkaXL3FgM1wEAeBwFiV1ERMTFixcZTDGA+zBBnfkJ\nkx3SFFG0fv6Ra74YwyYmcaPGsIlJ9MolMTtLyj5Ki5ucwaysELdu4nf8THr3k1LHsd1im3p9\nq1W6fJFeOC/l59GyEsLrbPuTMiYf4uPDGE3E5MOYTLaPpVMnhN3biNncaLBRXUlZCa2ubs0/\nNKorN3IMm5Aobv9ZPLivgZFLS51sMSwT3Y3t0bMVXwsAAFxKQWI3ZcqUlStXHjhwIC4urvmz\nAVyDGztRzMygRYUtOluvZ7sn0KuXm9kHXcZo5AYN40amMiG/NpVlorvx0d3ItNvp1Sti9hEp\nO6upAESRHMu0Hstkortxo8ZyfQcQ/tcLjVZV0vw8Kf8cvZgvXb4om05tuHVQc5gu0fyUGWyv\nZCKK0ukTYuZB6UQOsbaggTPHsSn9uJFj2N82m+Jn382NGiNsXCedOt70U1FdBwDgmRQkds89\n99w333yzdOnS22+/HethwW04jp8517pyRdNnMVFduaEjuP6DidFICKHXC6Szp6Wzp6XzZ0lt\n4+NeoWHcyDHcoGGNdQxhukTxXaLIlBn0WoGYnSVlZ9nvzy1DL18Uvvlc3LiWHTiEVFdJ+XlN\nD/gpxYSE8ZNvZfsO+LVUn+PYpBQ2KYXUmsXso1LmQSmv4XJDxs+fHTaSGz7auQUdEx6p+/2j\n0pmTwsa1tOBqY1+XTemn4j8EAADUoiCxi4+PX7NmzZw5c8aMGfPPf/4zNTWVbayZAoArsQmJ\nbL+B0tHMBh4zmrj+g7ihI2R1/Ux4JBceyY0aSyRJunyRnj0tnT0lXcj/dWsyhmF7JnOjxrA9\nerVwPSMTEclHRJJbptFrBeK+PWJmBrE0XPpGqyrF3duV/hub+eqdgriJU7nBwxpuaGI0cUOG\nc0OG07JSKeuwmHmwPvt0HkRsENujl/6JZ8XDB8QtG50HO7mxaM8GAOChFCR2KSkphBCdTpeZ\nmTlu3LiAgIDIyEi+kV8POTk5DR4HUAV/22zrmVO05mZJGRvTnR06kus7gOj1TT2TZdlusaRb\nLDdhMrFapYt5tLyc7R7PBHVuXSRMRCQ/ay4/9Tbx0H5x3x5afKN1r9PSL+frx42/hRsxmvDN\n9xtiOgVx4yZx4ybRq1eka1fZ8AgF61hZlhsygus3SNi1Vdy9vT5tZUJCuYFDWh0/AAC4lILE\nLjc31/7TioqKigoldUsA6mH8A3QP/1HYspGWl7FxCdzQEUx4pOJX0elku9C2nsnEpY7nRo+T\nTuZa9uxgGmu54ozn2ehuTHQ3wjDEXENrakitmZpriNlMa2ocVuOaTPzo8Vzq+JZvLFGP6RLF\ndYlS+ixCCNHr+Vtu5YaOEnf8LOWfZ8LC+Wm3Nz3aBwAAbqTgBr1w4ULXxQGgFBMZpXvgYXdH\n4Yhh2KQUsVt3vqyEO7i/saZxjK8fE9OdjY1jYrqz0d2aypNEkdaaibmGWKxMaCjRNTkY6TJM\nYCA/8y63fGkAAFBEQWK3YkUz5eoA8KuQMH7mXfzUGeKhA+LBffT6NSY0jI3pzsTGsTFxTGhY\nS1+H4xhfP+Lr58pYAQDAe2BKBcBljCZu9Dhu9Dh3xwEAAFqBZa0AAAAAXgKJHQAAAICX0PRU\nrCiKP/744/bt2wsKCgwGQ1JS0t13392jRw93xwUAAADQGtpN7ERRfOWVVzIzM00mU0pKSkVF\nRUZGxuHDh59//vkhQ9CmCwAAADoe7SZ269evz8zMjImJWbJkSWBgICFkz549b7755vLly1eu\nXIk90wAAAKDD0WiNHaV0zZo1hJDHHnvMltURQlJTU0eOHFlVVbVlyxa3RgcAAADQGhpN7M6c\nOVNaWhoSEpKcnGx/PDU1lRCyf/9+N8UFAAAA0HoaTezy8vIIIfHx8bLjtpUT+fn5tIX7QQEA\nAAB4DI3W2BUWFhJCQkJCZMeDg4MJIbW1tZWVlQEBAfXHS0pKzGaz7WNKKaVUFMX2CtZD2XJf\nURQZhnF3LJ5FkiRJkvAOkZEkiRCihWuHUqqFN0D9HcDdgbiZKIpaeFc3y3aBa+Gdr5Tq75Bm\nX0qjiZ0tSzMajbLjHMfpdDqr1Wo2m+0Tu3/+85+bN2+2fcwwjCiKpaWl7RatJysrK3N3CJ6o\nrq6uurra3VF4otra2traWndH4XJ1De0R7JVwJ7TB98HGbDbXD4KAPRXfIVartekTNJrY2TQ4\n1NTgJGxKSoogCLaPt2/fzjCMwWBwbXAez2q1SpKE74MzQRBYlmVZjdY5NEaSJKvVynEcz3v5\nbUcjbwDcAWwopYIg6HQ6dwfiZrYLnOd5juPcHYtnUf0d0uy9xcvvsI0xmUzkt3E7e6Io2hI4\n2wn15s2bN2/ePNvHI0eO5DjO39+/XSL1XOXl5ZIk+fn5YSpWprq6mud5/MKTsVqt5eXler3e\n63sJVVVV6fV6vV7v7kBcq6ysjFKKO6EoilVVVfg+1NXVWa1Wg8Eg++0Jqr9Dmh2x8/K/KRsT\nGhpKCLlx44bseHFxMSHEaDTiKgUAAIAOR6OJXVxcHCHk3LlzsuNnzpwhhMTGxmIUCgAAADoc\njSZ2PXr0CAoKunHjxvHjx+2P79mzhxAyfPhwN8UFAAAA0HoaTewYhrnjjjsIIe+99155ebnt\n4J49e9LT0319fSdPnuzW6AAAAABaQ6OLJwghd9xxx9GjR48cOfLII48kJSWVl5efPXuWZdmn\nn37az8/P3dEBAAAAKKbdxI7juL///e/r1q3bvn17dna2Xq8fOnTo3LlzExMT3R0aAAAAQGto\nN7EjhHAcN3v27NmzZ7s7EAAAAAAVaLTGDgAAAMD7ILEDAAAA8BJI7AAAAAC8BBI7AAAAAC+h\n6cUTrZaXl2drg6dlkiRRSrHfszNKKSEEm5fIUEolSWJZ1uu/M5IkMQyjhX8m7gA2tje2u6Nw\nM+1c4K2g7jvE9iumCUjsFBs0aFBubm5lZaW7A3GzmpoaURT9/PxwGUNLiKJYU1Oj1+sNBoO7\nYwEVVFdXU0rR9RNsBEEwm81Go1Gn07k7Fu8XEBDQv3//xh5lmk39ABr0+OOPZ2Rk7Nmzx2Qy\nuTsW6ACysrIeeuih++6778knn3R3LKCC+fPnX7p0ae/eve4OBDzCli1bXnjhhT//+c/z5893\ndyxap/XRYwAAAACvgcQOAAAAwEugxg5aafTo0dHR0SidhhYKDg6ePXt2SkqKuwMBdUyYMKG0\ntNTdUYCn6Nq16+zZsxMSEtwdCKDGDgAAAMBbYCoWAAAAwEsgsQMAAADwEkjsAAAAALwEEjsA\nAAAAL4HEDgAAAMBLILEDxQRB+N///d8TJ064OxAAaG+4/AE8HBI7UEYQhNdff33Xrl1vvfWW\nIAjuDgc8nSAI1dXV7o4C1IHLH2RwgXsgJHaggO22npGR4efn98ILL/A8GlxDU2xvmMWLF1dV\nVbk7FmgrXP4ggwvcMyGxg5ayv60vWbIkLi7O3RGBp/vkk08yMjLOnTv34osv4tbfoeHyB2e4\nwD0TEjtokcZu65TS69evX7hwwWKxuDdC8DSXLl3atGmTXq8PDg7Grb9Dw+UPznCBeyxsKQYt\n8vrrr6enp5tMptdee63+tr5jx46vvvrq2rVrhBCDwTB9+vQFCxZgggZsXnrppczMzLlz506c\nOPH5558vLi6Oj49/5ZVX/Pz83B0aKIPLH5zhAvdYGLGDFpkwYQLHcbW1tefPnyeEUEr/85//\nLF++/Nq1awzDcBxXV1e3evXql156CSXVQAgpLS3Nycnp3LnznDlzIiMjX331VfxZ33Hh8gcZ\nXOCejHvppZfcHQN0AFFRUXFxcWlpaQcOHAgNDc3Ozv7+++91Ot1999333HPPLViwIC4uLjMz\n8/Lly5Ik9evXz93xgpuZTKZevXolJyfHx8cTQvz9/YcNG7Zv374rV65kZWWNHj1ar9e7O0Zo\nKVz+IIML3JNhKhYUyMjIeO211yRJ0uv1giC89NJL9jfxvXv3vvHGGz4+PqtWreI4zo1xgmcq\nKChocMrm+PHjSUlJDMO4NzxoGi5/aBoucA+BqVhQYOjQoYsWLWJZtq6ubv78+bI/zQcPHkwI\nqampKSkpcVOA4NEanLLZuXPn888/v3z5cvyR6eFw+UPTcIF7CCR2oIzt5u7r63vbbbfJHrLd\n0BmG8ff3d0do0AHIbv2bNm16++23JUmKjIzEH/SeD5c/NA0XuCfAVCzICYJQV1fn6+vbxDnX\nr18PDw+XHXzvvfc2bdrUr1+/V155xZUBgsfZt2/fjh07SkpKQkNDhw0blpqa2vRkXP2Uje3T\n+fPnz58/v10iheY1ewfA5a81uMA7FiR24MDWsKq4uFjpqvVffvllxYoVhJA333wzMTHRZQGC\nZ5Ekafny5bt27bI/GBUV9fTTTzf9Nli9evVnn31GcNP3MK27A+Dy91a4wDsirIoFBx999NGO\nHTtKS0tbvrJJFMVPPvnk888/J4Q89NBDI0eOdH2Y4Ck+++yzzZs3G43Ge+65Z+bMmTExMZcu\nXSosLNy2bVtYWFj37t0bfNbOnTs/+OADSilu+p5G6R0Al793wwXeEWHEDm66dOnSE088wXGc\nv79/C7tNrl+/fvXq1cXFxXq9/tFHH500aVK7RQtuV1pa+vvf/16SpNdeey05Odl2sLa29t13\n3925cych5LHHHps2bZrsWZmZmS+//LIkSbjpexqldwBc/t4NF3gHhcUTcNPHH38siuLMmTNb\n3m0yLi7ObDanpqYuX74ct3WtOXnypCiKPXv2rL/pE0KMRuMzzzwzZ84cQsj777+fkZEhe1Zy\ncnLPnj1x0/dASu8AuPy9Gy7wDgojdvCr0tLSP/zhD35+fu+//77RaGysI5Ezq9Wq0+naM1Tw\nEOnp6a+//npSUtKyZcucH/3www83bNjg7++/YsWKoKAg+4cEQcDeU56mdXcAXP5eDBd4B4Ua\nO/hVqzuJoxmpZplMpnXr1pWWlk6aNMnHx0f2aP/+/Y8cOVJQUGC1Wm1NzuqxLOYKPE7r7gC4\n/L0YLvAOCokd3BQeHh4TE1P/aRN39uPHj4eEhKAvkcb5+PicOnXq6tWrRUVFo0ePlj3Ksmx0\ndPTWrVuvXLkya9Ys3Os9H+4AYA8XeAeFxA6a0uCdfefOnUuXLi0oKBg+fDju7BoXFxe3devW\n/Px8vV5vX4hjExoaumHDhurq6rFjxwYEBLglQmgL3AE0Dhd4R4TEDpohu7NTSv/zn/9IkjRi\nxIg+ffq4Ozpws8DAwMDAwIMHDx49etTPz69nz572j0qS9P3331ut1ttuuw0bEnRQuANoGS7w\njgiJHTTP/s5+6NAhdCcCewkJCZTSnJyczMzMqqqqvn371tddbdiw4cCBA6Ghoffeey+Gdjou\n3AG0DBd4h4PEDlrE399fkqSsrCyCTuLgpE+fPgaD4ejRo6dOndq1a5fVai0pKVm/fv13331H\nCFm4cKF95RZ0RLgDaBku8I4F7U6gRXbu3Gnbyxn3dGjM0aNH//3vfxcWFtYfYRjmwQcfnDlz\nphujAlXgDgC4wDsKJHbQPHQShxYSBGHXrl2HDx+uqKiIioqaMmVKXFycu4OCtsIdAGxwgXcI\nSOygebW1tf/4xz/69++PezqABuEOANCBILHTqCtXrvz4448PP/xwC/uLopM4KH3PgCfDHQBk\nKKVYAOEdsHhCi6qrqxctWpSVlcVxXMr/b+/O45q41v+BnyEJCYtgBNkSQEEqBVwLFRFQ3G1d\ni+K+oPaqrdZWrxV9UVutu+1tSy9We1u0Lq1WqxYUqyDKIiqCIiBq2ayCICCyiLLP94/zu/PL\nTVgCWEOGz/vlH+HkzMyTOePkyTkzZ1xc1FkEk092cm04ZqDDwhkAlOTm5n7zzTdDhw7VdCDw\nEuD/amcUGhpaUFDg4uIyZcoUTccC2gHHDJ+gNUHJjz/+mJiYmJ2drelA4CVAYte55OXlPXv2\nLCUlpUuXLuvWrROLxZqOCDo6HDN8gtaERnl7exNCIiIiNB0IvAS4ZqITyc/PX79+fbdu3RiG\nGTRoECYKhxbhmOETtCY0xdPT88cff4yOjvb39+eeCAxaCj12nYhUKrWwsMjKysrMzKyrq9N0\nOKAFcMzwCVoTmiISiUaOHPns2bOrV69qOhZoLyR2nYhEItm4cePrr79OCLl27VpxcbGmI4KO\nDscMn6A1oRljx45lGAajsTyAu2I7F6FQ6OXllZaWlp+fn5qa6unpiV53aB6OGT5BawIhJDc3\nNzIyUiaTKV5kaWho+OeffyYnJw8fPtzQ0FCD4UE7IbHrdLgze0ZGRnJyMs7s0CIcM3yC1uzk\nysvL16xZc+XKlbCwsLy8PKlUampqSt8yMDCIjo7W19fv27evZoOE9kBix2c1NTVhYWGHDx+O\niYmprKy0t7enk1FxZ3b6+wxnduCwLHvnzp3k5OSioqJu3bqJRCJajmNGG6E1QZVYLPbw8NDT\n08vLy7tz505ERMS1a9cYhpHL5TY2NlFRUdnZ2RMnTsRkxdoLT57grYKCgo0bN+bl5XEldnZ2\ngYGB3I8z+pigO3fu2Nvbf/755+h7h4KCgh07dmRlZdE/dXV1fX19p0+fzk1Oi2NGi6A1oXkN\nDQ1JSUnnzp1LSkqqr6/X19f38fF58eJFVFTUZ599NnDgQE0HCG2EHjt+qqysXLt2bX5+vkwm\nW7Zs2bRp0+7cuXP//v0rV664u7sbGBiQ//3VbmFh0atXL01HDZpUUVGxdu3a3NxciUTSp08f\nAwOD4uLitLS07OzsIUOGqPb14pjpyNCa0CKGYWQymbe395gxY7p06ZKXl3fz5s2cnBxCSG1t\nraenp6YDhDZCjx0/7dy5My4uztHR8dNPPzUwMDh79uyePXtoW5uZmW3dutXMzIzWrKqqiouL\nGzlypEbjBc376aeffvvtNycnp3Xr1hkbGxNCbt++vX379rKysgkTJrz77rtcTRwzHR9aExTV\n1NSEh4cnJSUJBAI3N7exY8eqPiOYZdmUlJRz587RGU/27dtHjxzQOuix46GHDx/u3btXKpVu\n2bLFyMjo3Llz3333HcuyCxcuFAgEGRkZV69eVey3s7Oz03TIoEl5eXk6OjrHjx+vrq7etWuX\nkZERLTczM+vXr19kZOS9e/e8vLy4chwzHRlaE5QUFBQEBATExMQ8fvw4Pz8/KSnp+vXrrq6u\n+vr6itUYhrGwsBgyZIhcLo+NjTUwMHB2dtZUzNAemMdOi9XV1e3atSs1NVWp/M6dOyzLzp07\nVyqVJiYm7t69m2Z1kydP9vX1JYQUFhauX7++sLBQE1FDx0KfRvDJJ5/U1tYOHDhQ6UIre3t7\nT09PlmUvX76sqQhBfWhNUFJZWfnJJ5/k5eXJZLKPP/7466+/trW1zc7ODggIaOor4I033mAY\nJjY29hWHCi8LEjttVVdXt3379tjY2E2bNinldqNHj54zZ463t3dVVVVQUBDLstOmTZs8eTJd\nihDi7u5eWFh47do1zYQOHQn3NIKsrKyamhrVCjKZjBCCnwFaAa0JSoKDgx8/fuzo6PjFF194\nenreu3fvwYMHpNmf9yzLMgyTm5v7yoOFlwOJnba6fft2QkKCQCCorq5Wze38/Px0dXXj4uJK\nS0sdHR3nzJlDyyMjIwkh77///rp16yZMmKCBuKGDUXwaQVJSkuqJ/t69e4SQbt26aSA4aCW0\nZufU1OjNw4cPL1++LJVK161bZ2BgcO7cOXqx9cKFC11dXRvN7RoaGr799tuGhgYHB4dX+Ang\nZUJip6369u0rk8n09fW9vb0bze0IIQUFBYSQgQMH0hmJzp07Fx0dbWVlZWxsPHjwYA0EDZpQ\nV1d36dKlqqqqpipw2UBNTc3mzZtLS0u5tyIiIpKSkhiG8fb2fiXBQsuab1C0ZmfTzOhNGy7L\nyc/Pv3Hjhr6+/vLly1/1J4GXBDdPaCuGYRiGiY+PnzBhgpGRUUZGxuXLl19//XVzc3OuTlVV\nVUxMTEFBgb6+/unTp48ePUoIWb58ubW1teYCh1eKnvSPHz8eHh5eUVEhl8vpTTNKuJkvMjMz\nL1y48Pz58/z8/BMnThw/fpwQsnDhwkGDBr3y2KER6jQoWrNTSU1NPXTokEAgqK2tVfoWsLe3\nFwgEY8aMqa2tDQwMrKqqmjZt2vTp0wkh+fn5Fy9edHd3v3fvnrm5ee/evekiRkZGffv29fHx\nwS012gvTnWixqqoqf39/U1PToKCgb7/9NjIyUiwWb9iwoU+fPrQCy7K7du2Ki4ujfzIMM3/+\n/HfeeUdzIcOrlp2d/eGHH4pEIj09vfLych0dncGDB0+aNMnR0VG1MjdjLSFEV1e3trZWLpfP\nmjVryJAhrzxwaJz6DYrW7CRYln3vvffKy8sHDBgQExOj9C1ARUZGBgUFOTo67tixgw7gfPnl\nl9HR0QcPHkxPT8cADs+gx06LCYXCioqKq1evOjs7T5w4sbi4WKnfjmGYwYMHd+3alWEYR0fH\npUuXYgims5FKpbdu3Xr8+PHWrVsdHR0LCwtTUlLokJyenp5cLueeQ0AUenqKi4t79OjxzTff\nvPPOOzY2NhqMH5So36BozU5CndGb+Pj427dvjx49miZ8586dO3bsmJWV1dSpUzGAwz9I7LRD\nXV1dZWWlWCxWKpfL5adPny4vLx82bNibb77ZaG7n4OAwdOhQd3f37t27ayJ20DADAwPaaztj\nxoyxY8f27dv3xYsXKSkply9fvnDhQn19vbW1NfeoUMWnEaSkpOApoh2Q+g2K1uwkbGxswsPD\nc3NzP/vsM9VvAYLLcjoZJHZagF5Vs3fv3uLiYisrK25mUUKIgYHBX3/9lZCQ4O3tbWRk1Ghu\nB52cXC6/ePHi3bt3x40bJxaLzczMPD09R44cWV5enp6enpycfObMmSdPnlhaWtJDC0+I7+Ba\n1aBozc6gxdEbKyur3Nzcu3fvJiQk5OTkMAyzYMGC0aNHazpw+Fsgsevo6uvrt2/fnpCQoKOj\n8+eff4aHh2dkZHTt2tXCwoJWMDU1jYiIaGhocHNzYxgGuR0oYRiGZdnExERDQ0MnJyda+OzZ\nsyNHjlRWVspkshcvXty5c0fx0EI20JG1tkHlcjlakzfaNnqDy3I6FSR2HR3DMOnp6ZmZmTo6\nOtOnTzcxMbl27dqFCxeuXr0qFoutra3NzMwSExOTk5Ppz3el3G7YsGGN3gUJnYqNjc2ZM2f+\n+uuv8ePH6+jocHMcvPbaa9u3bx8/frxAIMjJyfnrr78sLCzoVThcbpebmzto0CDMfNahtLZB\n0Zr80J7RG1yW03kgsevoGIZxdXUtKyv7888/7969O2vWLH9/f6FQmJqaGhMTc/78+dra2tde\ney0hIYH7+c7ldq6uru7u7pr+BKB5IpGotLQ0OTnZxsZGT0+PSwI2bdqkr68vFov79es3duzY\n3r17jxs3jluKZgODBg3CxAcdTRsaFK2p7TB6A2rCdCfagWXZPXv2nD17VigUBgQEvPnmm9XV\n1VFRUaGhoXl5eQKBoL6+3sLC4vvvv1dchN7WDkAIKSgoWLJkSY8ePSorKxWTAE3HBW2EBu1s\nFL8Fpk2blp+fHxsbW19f37Nnz0mTJnl7ewuFwtWrVz948CAkJKRLly50EW4mrODgYDMzM01/\nCHgV0GOnHRT77eLj43v27Glra+vg4PD22287ODiUlJQ8ffr0o48+srS0VFxEgwFDR2NoaHj/\n/v3U1NTKykokATyABu1sMHoDakKPnTZR7bfj3nr27JmhoaEGY4OO7/bt2+vWrZNIJPv27cOV\nlzyABu2EMHoDLUKPnTZR7beTyWT0LdzmBi0yMzNLSEgoKipycnLijhzQXmjQTgijN9AiJHZa\nppncDqBFEonkypUrhYWFo0aN0nQs8BKgQTuhRr8FGIaRyWTDhw9/6623bG1tNR0jaBISO+2D\n3A7azNra+vz587m5uS4uLrhLjgfQoJ0TRm+gGUjstBJyO2gbHR2d2tralJSU3r17Ozg4aDoc\naC80aKeFbwFoChI7baX4v9radex1wwAAG+5JREFU2trFxUXTEYF2sLGxMTQ0nDRpkqYDgZcD\nDdppIbeDRuGuWO3GsmxSUpKrq6umAwEAAA1oZrYE6Jx0NB0AtAv9xabpKAAAQDMYhlm6dOm4\ncePq6upycnI0HQ5oHnrsAAAAtBtGb4CDxA4AAACAJzAUCwAAAMATSOwAAAAAeAKJHQAAAABP\nILEDAAAA4AkkdgAAAAA8gcQOAAAAgCeQ2AEAAADwBBI7AAAAAJ5AYgcAAADAE0jsAAAat3//\nfuZ/SSQSc3NzR0dHX1/fbdu23blzR9MxAgD8DyR2AADqqq6uLiwsvHfv3okTJ9avX+/k5DRs\n2LC0tLSXsvKAgACGYeRy+UtZGwB0TkJNBwAA0NGFhIS4ubkRQhoaGkpLSx89epSQkHDs2LHc\n3Nzo6GhXV9eQkJBZs2ZpOkwAACR2AAAt6dmzp4uLi2LJjBkzdu7cGRQUFBAQUF1d7e/vb2Nj\n4+npqakIAQAoDMUCALSFUChctWrVvn37CCE1NTUffPCBpiMCAEBiBwDQDrNnzx43bhwh5ObN\nmxcuXFB8i2XZa9euBQYGenh4mJiYiEQiqVTq6uoaGBhYWFioWPOPP/5gGGbHjh2EkLy8PMXb\nNfr3769Ys76+fv/+/W+99ZalpaVYLDY1NfXx8dm7d29tbe3f/1kBQAtgKBYAoF2WLVt29uxZ\nQsj58+dHjBjBlZ84cWLq1KmKNUtLS5OSkpKSkvbu3RsWFubu7k7LDQwM7O3tnzx5UlpaKhAI\nevTowS1iY2PDvX748OGECRNu3brFlTx58uTSpUuXLl0KCQkJCwszMzP7ez4iAGgN9NgBALSL\np6cnwzCEkPj4eMVyHR2dcePGBQcHR0dHZ2RkFBcXp6Wlff/997179y4uLvb19S0vL6c1vby8\nMjMzlyxZQgixsLDIVBAaGkrrlJWV+fj43Lp1SyqV7tq1Kz09vaSkJCMjY+fOnQYGBgkJCVOn\nTm1oaHi1Hx0AOhz02AEAtItUKjU3Ny8oKHj06JFi+ZQpU6ZMmaJYYmJi4uzsPHPmzP79+2dl\nZf30008rVqxQcyvr1q3LysoyNTW9evWqvb09t+k1a9YMHjx46NChsbGxx48f9/PzeykfCgC0\nFHrsAADaq2vXroSQkpISdSobGhrS9CsiIkLN9ZeVldG7NAIDA7msjuPp6Tlp0iRCyC+//KJ+\nzADAS+ixAwBoLzoGSgdklZw/f/7kyZO3bt0qLi5+8eIFy7KEkIqKCkLIvXv31Fx/bGxsVVUV\nIWTChAmNVvDw8Dh58mRSUlLb4gcA3kBiBwDQXmVlZYSQbt26KRaWl5f7+vpGRkY2v5Q6uBRQ\ntbtOUXFxsZorBAC+QmIHANAuT58+pdOXWFpaKpYvWLAgMjJSV1f3o48+mjhxooODg7Gxsa6u\nLiFk27Zt69evr6urU3MTpaWl9IWtrW0z1YRCnNIBOjucBQAA2iUuLo4OsHp4eHCFOTk5J0+e\nJIQEBwcvXrxYaREuUVOToaEhfZGWlsa9BgBQhZsnAADaZc+ePfTF6NGjucIbN27QF43eppqS\nktKqTXAjsLiKDgCah8QOAKDtjhw5Eh4eTggZMGCA4uzEz58/py9Ux1vz8/OVnlFB0VHa+vp6\n1bd8fHxEIhEh5Mcff3xJgQMAPyGxAwBoi7q6uqCgoPnz5xNCdHV1g4KCFN/lLoYLCwtTLK+v\nr//HP/7R6BPATE1NCSHFxcXV1dVKb5mYmNANHTp06OjRo43G8+LFi/v377ftswAAbyCxAwBo\nQU5OTlpaWlpaWkpKSmxs7K+//rp69Wo7O7uVK1fW1NSIxeKQkBBPT0/FRQYPHmxtbU0I+eCD\nD/bs2ZOXl1dRUREdHT1y5MjTp0/37t1bdStubm6EkLq6us2bNxcVFdXV1dXV1XEdeDt37uzV\nqxfLsjNnzly4cGFMTExxcXFFRcX9+/fDwsLef/99a2vrU6dO/f07AwA6NIZe8wsAAEr279/v\n7+/ffB1vb+9///vfffr0UX0rIiJiwoQJqt1vK1assLKyWrdunYmJieIEJSzLDhky5MqVK4qV\n+/Xrl5ycTF/n5eX5+fkpPbhM0e7du5ctW9Z8wADAb+ixAwBQl66urqmpqYODw5QpU7Zs2ZKe\nnh4dHd1oVkcIGTVqVEJCgp+fn5mZmUgksrCwGD9+fFhYmNKgLYdhmLNnz65du9bFxcXAwEC1\ngkwmi4uLO3Xq1PTp021tbfX09EQikbm5uZeX18aNG1NTU5HVAQB67AAAAAB4Aj12AAAAADyB\nxA4AAACAJ5DYAQAAAPAEEjsAAAAAnkBiBwAAAMATSOwAAAAAeAKJHQAAAABPILEDAAAA4Akk\ndgAAAAA8gcQOAAAAgCeQ2AEAAADwBBI7AAAAAJ5AYgcAAADAE0jsAAAAAHgCiR0AAAAATyCx\nAwAAAOAJJHYAAAAAPIHEDgAAAIAnkNgBAAAA8AQSOwAAAACeQGIHAAAAwBNI7AAAAAB4Aokd\nAAAAAE8gsQMAAADgCSR2AAAAADyBxA4AAACAJ5DYAQAAAPAEEjsAAAAAnkBiBwAAAMATSOwA\nAAAAeAKJHQAAAABPILEDAAAA4AkkdgAAAAA8gcQOAAAAgCeQ2AEAAADwBBI7gL/L8uXLGYZx\ncXHRdCAAANBZILED0D4BAQEMw8jlck0HAgAAHQsSOwAAeJlKS0sZhunVq5emA3mlhEKhqalp\ni9VOnTrFMMzSpUtfQUivTOds8Q4LiR0AAAAATyCxAwAAAOAJJHbQUSQmJvr7+zs4OOjr60sk\nEmtra1dX15UrV164cEG1cn19/f79+9966y1LS0uxWGxqaurj47N3797a2lqlmizLXrt2LTAw\n0MPDw8TERCQSSaVSV1fXwMDAwsJC1TUr3vFw9+7dJUuW2NnZSSQSQ0NDxa0fOnRo8uTJcrlc\nIpGYmpr2799/+fLl0dHRTX26rKysJUuW2NraisVic3PzqVOn3rx5sw176Y8//mAYZseOHYSQ\nvLw8RkH//v0rKioMDQ0ZhgkMDGxqDSNGjGAY5s0332z0I9+8eXP27NlyuVwsFltbWy9cuDAz\nM7OpVanfCgAA8IqwAB3A7t27GYZp9BDt16+fUuUHDx7069ev0cpvvvnm48ePFSsfP368qYPf\n1NT0ypUrSit///33CSHOzs5hYWH6+vpcZT09PVohJyenqa0TQmpra1VXFRUVZWRkpFRTLBZH\nRES0dkfFxMTY29t37dqVECIQCOwVTJgwgWVZf39/QohcLq+vr1ddPCcnh+7nPXv2qMZ59OhR\nXV1dpTj19PTOnj2ruqpWtYK2ePr0KSHE3t6+vr7+66+/dnJyoon44sWLi4uLVesXFhauWbPG\n0dFRT0+vS5cunp6eP//8M/dudXW1vr6+VCpVbIuPP/6YEKKvr19dXc0VbtiwgRASHBzcTGzp\n6enz58/v1auXRCIxNjZ2cHCYN29eUlKS+vFQ58+fX7p0qYuLS9euXcVisb29/YoVK/Lz8xvd\nD7W1tdu3b3dycpJIJEOGDFHc0Lp161xcXPT19Q0NDZ2cnFauXJmVldW23djxpaSkzJw509LS\nUiQSmZubT5s2TWnPsywrEAhMTEyUCi9evOjj42NoaGhsbDxy5MjY2NiTJ08SQpYsWdLiRtHi\n0DZI7EDzHjx4QPMJd3f38PDwR48eVVZWZmVlXbx4ccOGDRMnTlSsXFpaam9vTwiRSqW7du1K\nT08vKSnJyMjYuXOngYEBIcTLy0vxe/TEiRPjxo0LDg6Ojo7OyMgoLi5OS0v7/vvve/fuTQix\nsrIqKytTXD/NcszMzIyNjXv06LFnz56bN2/evHnzP//5D8uyxcXFtra2NKlatmxZfHx8UVHR\n48eP4+LiPv30UxsbG9XEzszMTCqVvv7664cPH87MzMzIyPj2229pyiiXy2tqatqwx9auXUsI\nkclkqm9dvnyZZleNZmM0gdDT01P81DROExMTAwMDZ2fnM2fOlJaWFhYW7t+/38zMjGYh3Bm8\nba3QOtVV9bdutPdfemobtsx9P82ePVskEg0cOHDEiBHGxsaEkIEDByo2LsuyqamplpaWhBAb\nG5uJEyeOHDmSfvYPP/yQqzNq1ChCyI0bN7gSNzc32kAxMTFcobe3NyEkPT29qcCuX78ukUgI\nIa6urjNnzvT19XVzcxMIBLt27WpVPCzL2tvbSyQSV1dXX1/ft99+28rKih6Kjx49Ut0PU6ZM\nEQgEbm5uw4cPp78cWJa9ceOGhYUFIcTc3Hzy5MnvvPNOv379GIb57rvv2rAb1fG8vv7XwqJ2\n/jtV9KS126XCwsLEYjEhZMCAATNnznR1dSWEiESiX3/9VbGaamJ39OhRHR0dQoinp+ecOXP6\n9etHzxvqJHadvMWhPZDYgeaFhIQQQoRC4dOnT1usTE+LpqammZmZSm/FxsbS0+jRo0dbXE9F\nRQVNTYKCghTLaZZDCHFwcFD9rUn7wxiGOX78uOo6lbI0blX9+/cvLy9XfOvAgQP0rdOnT7cY\nqqpmEjuWZZ2dnQkhfn5+SuUNDQ00K507d26jcfbs2bOkpETxrbS0NPrtorS2l9UKjWooKqz6\neEU7/1VvCWzDpun3EyHEzs4uNfX/pYaPHj2ys7MjhCg2elVVFT1+tm3bVldXRwtzcnIcHR0J\nIX/88Qct2bp1KyHkiy++oH+WlpYKBAI66v3ZZ5/RwufPn+vq6pqbmzcT2OzZs5X6WVmWzc/P\nv3v3bqviYVn22LFjiv/RqqurV65cSQhZtGiR6n6Qy+W3b9+mhQ0NDSzLVlZW2tjY0OxBsdMx\nIyMjLS2ttbtRTQ+rqsnFuHb+6xZ3tbXbZVm2qKiIdpBzSQzLsvv27SOEGBoa5uXlcYVKiV1h\nYaGRkZGOjs6JEye4ws2bN9M902Ji18lbHNoD19iB5tXV1RFC6FBC8zXLysroKTUwMJCe1BR5\nenpOmjSJEPLLL7+0uFFDQ0M/Pz9CSERERKMVtm3bZmJioljy5MmTQ4cOEULmzJnj6+uruohI\nJGp0VV9//bXSR5sxYwa9aC8hIaHFUFtr0aJFhJDff/+9pKREsfzChQt//fUXV0HVpk2bpFKp\nYomzs/OSJUsIISdPniwtLaWFL7EVOqzdu3dzM0tbWlp+9NFHhJCLFy9yFQ4fPpyVlTVp0qSA\ngACBQEALe/To8e233xJCvvvuO1ri4+OjuGBMTEx9ff0HH3xgYmLCFcbHx9fU1NCaTSkqKiKE\nDB06VLHQwsKCdjyrHw8hZOrUqTRToXR1db/88suuXbueOnVKdbvbtm1zcnKir+kg/oEDBx48\neODp6fmvf/1LceC+V69e9BeFohZ3Y8f3008/lZaWDh06VHGCkgULFowbN+7Zs2c//PBDUwse\nOHCgvLx88uTJU6ZM4QrXr1//+uuvq7NdtDi0GRI70Lz+/fsTQioqKhYuXPjgwYNmasbGxlZV\nVRFCJkyY0GgFDw8PQkhSUpJS+fnz55ctW+bh4fHaa69ZW1vL5XK5XB4cHEwIuXfvnup6hELh\n22+/rVQYHR1NbwtYsGCBep+MEEKMjIy8vLyUCkUiEZ3zqaCgQP1VqWnevHm6urrV1dWHDx9W\nLKc9o/b29nTgTwnDMDQhU0JT2NraWi4HbXMraAtdXd2RI0cqltCvuvz8fK7kjz/+IIRMnTpV\naVlvb2+hUHj9+nX6p5ubW5cuXWJjY+vr68l/v+FGjBgxbNiwq1evvnjxgitsPrGjw3/vvvtu\nZGRkTU2NagU146GePXsWGhr6xRdfbNiwITAw8NNPP5VIJE+ePFH6JcAwzLRp05RWSH8I+fv7\nN3VRLEed3djxxcTEEELmzJmjVE5PAvTdZhacMWOGYiHDMNOnT1dnu2hxaDOhpgMAIG5ubjNn\nzvzll18OHDhw4MABFxcXDw8Pb2/vMWPGKE34ySVhqh1FioqLi7nX5eXlvr6+kZGRTVUuKytT\nLaS3uyoVZmVl0RcDBgxo9gP9D0tLSzo0qYReDfP8+XP1V6UmExOTKVOmHD16NCQkZMWKFbSw\ntLSUXrW9cOHCRk/QMpms0R5TroPh/v379EUbWkG7yGQyrguEove+VFdXcyV0b8ydO3fu3Lmq\na3jy5Al9IRAIvLy8wsPDExMTBw0aFBUVZWtra2dn5+Pj89tvv8XHx48YMUKdxC4gICAhISEy\nMnLUqFH0eqmxY8f6+/vT66XUj4cQsmfPnjVr1jx79ky1WkVFRbdu3bg/LSws6LVliuhPr9de\ne62ZaCl1dmPHl5eXRwjp2bOnUjkdZKTvNrMgvfhBUY8ePdTZLloc2gyJHXQIBw4ccHV13b17\nd1ZWVlpaGr2/QSgU+vn5ffnll/S6XUIINxqoerpUJBT+/wN7wYIFkZGRurq6H3300cSJEx0c\nHIyNjemAwrZt29avX08HgpXQrEtJeXk5fdHikHFTwahiWVb9Valv8eLFR48eTU5OTk5Oph2i\nv/zyS1VVlUAgmD9/fqOLKM7n0mh5RUUFfdGGVtAujSbiSmjDLVq0qNEHuymuwcfHJzw8/OLF\niw4ODikpKbSnhxuidXd3v379ukwmc3BwaGZzXbp0iYiIiI+PP3369KVLl65duxYXF7d169ZT\np07R+zPUjCcqKmrZsmXdunU7ePCgl5cX90U+cODAmzdvKh2NineFK2mx84aotxu1F91X6uyH\nRhdsEVoc2kxbz7zAM0KhcNWqVatWrcrMzLx8+XJsbGx4eHh+fv7PP/989erV5ORkmktxSUZa\nWlpTiYiinJwc2k0VHBy8ePFipXe5BEVN3JQlFRUVSteidTQjRozo2bNnTk5OSEhIUFAQ+e84\n7JgxY2QyWaOLVFZWNlrO/dDn0tnWtkJrMabdxTuCXvpqXy5ra+vExEQPD4+FCxc2X3P48OGE\nkKioKAcHB5Zl6Z9OTk7m5uZRUVFeXl61tbXNd9dxPDw86DB3WVnZrl27tmzZsnTpUtqRrGY8\nP//8MyHkyy+/VBpb5HqjW2RjY5OYmHjv3r0hQ4aouUj7ycW67LBXtzlFMpksKSkpJydHqZyW\ncP1nTS14//59xTkjCSH0Olc1ddoWh/ZAfg0dS69evebPn//DDz88fPjw888/J4RkZ2fTWxaI\nwtifmtdv3bhxg76g90koSUlJaW1s9EVycnKrFnz1GIahd0gcPny4uro6LS0tMTGRNH3bBCEk\nNzeX65NTdOfOHfqCG0JqbSvw0pgxYwghBw4caLEDpn///lKp9PLly+fOnSP/zfMIIcOGDbt+\n/XpYWBhpaRxWlbGx8ebNm7t06ZKdnU1H89WMh07KbW1trVh49uxZrje6RaNHjyaE/PTTT60K\nWHvRC1K5UxCH3tje6OWqigseOXJEsZBlWaUSNaHFQX1I7KCDEggEgYGBtJPs7t27tNDHx4fe\nefrjjz+qsxLuCjbV8db8/PxGn2nRjKFDh9Kta/wcR4eS6fX4TfH39xcIBCUlJaGhobS7rnv3\n7k3d7kAIYVk2NDRUtZx2eYpEIq7jobWtwEvz58+3s7OLjo5esWKF4tVLLMteuHDhzJkzXImO\njo63t/fz588PHjzYu3dvro/Hx8enrq6O7sMWE7vg4GClnp64uLiKigozMzM6fKZmPPTHyQ8/\n/MAdPDk5OcuXL1f/g8+dO9fGxiYmJuaf//yn4kX9mZmZt2/fVn892mL+/Pldu3aNjo7es2cP\nV3jw4MEzZ84YGBiojgNw5s2bZ2Rk9PvvvyvefLpt2zbubNY8tDi03SufYAVAWXZ2NjcPk6Ki\noiJ6Ke6mTZu4QnomZRjmyJEjja7t+fPnOTk59DX3jK/9+/cr1qmrqxs/fjx9S2lOUe4xDI2u\nnPZ4MQxz6tQp1XeVPkXzq6LjGrNnz2703eZ98803hBChUFhVVdVMNfoZR4wY0b17d0LIqlWr\nGq3GzWNnb2+vNJVgenq6np4eUZnHrlWtoEW4eVaVyuk9hm+//bZi4e3bt+n8XlKp1MfHZ/r0\n6fQaJkLI2rVrFWvS9iKELFu2jCvk7kGxsbFpMTA6yYWzs/O0adPmzp3r7e2to6PDMAztsFE/\nnszMTPpjycHBYdasWW+99ZZEIhk+fPgbb7xBCOGarKn9QN24cYPOXG1hYTFlyhRfX9+mpqtV\nZzd2fEoTFNNfOK2aoNjLy2vu3Ll0gmI6bUqL89ihxaHNkNiB5q1evdrW1jYgIODChQv5+fkv\nXrx49OhRaGgovepfJBIpzshfUlJCf4MyDOPv7x8dHV1UVFReXp6TkxMaGvree++ZmJh89dVX\ntHJNTQ0dgzAyMvruu+9yc3PLy8svXbo0bNgwQgg9dbYqsSsuLqZnUqFQuGLFioSEhKdPn5aU\nlFy/fn3r1q12dnaNPlKs0VW1J7GLj4+nOQF94m1tbW1tba1qcvz7778r/orjZhNVwj15Ql9f\nv0+fPmfPni0rKysqKjpw4IC5uTlp7MkTrWoFLdLa76enT59+/vnnb7zxRpcuXcRisa2t7YgR\nI7766ivFeWtZluUG/Y8dO6ZYTq93nD9/fouBnThxYtGiRS4uLlKpVCKR9OrVa+bMmdevX29D\nPBkZGVOnTrWyspJIJL179964cWN1dfWgQYPU/5pnWbagoOCf//yno6OjRCIxMjJydnb+8MMP\ns7Ozm19ce7/mb926NWPGDAsLC5FIZGZmNnXq1MTERKU6jT5SLCoqatiwYQYGBkZGRsOHD4+O\njlbzkWJocWgzJHageatXr26qR1lXV3ffvn1K9XNzc+kFxU3ZvXs3V/n8+fOqN/ATQlasWLFt\n27bWJnYsy2ZnZ3MzcKp6NYldQ0PD4MGDlTat+lDduro6buDP3d29qbUpPitWdY5lPT298PBw\n1aVa1QoAAPBq4Bo70Ly1a9f+/PPPixcvHjhwoKWlpVAoNDQ07Nu378qVK9PS0lRnA5bJZHFx\ncadOnZo+fbqtra2enh59MreXl9fGjRtTU1PpA6+oUaNGJSQk+Pn5mZmZiUQiCwuL8ePHh4WF\n0XtF26Bnz543b94MCQkZO3asubm5SCTq3r17//79ly9fHhMT82rm+GAY5uzZs2vXrnVxcWl0\nZhZKcXKTFm/eJIT4+fnFx8f7+flZWVnp6urKZLIFCxakpKSMGzdOtXKrWgEAAF4Nhv17ptEC\ngI5g8+bNn3zyiYGBQX5+flPT7y1fvjw4ONjZ2TktLe0VhwcAAC8XeuwAeItl2f379xNCpk2b\n1qpJlQEAQEshsQPgrdDQUDoNqeLzywEAgMfw5AkAvqmvr6+trU1MTPzggw8IIUOHDqV3wAEA\nAO8hsQPQvPj4+Hnz5qlTc9asWZs2bWq+jq2tLfdscolE0ubbRAAAQOsgsQPQvOfPn6v56Eb6\ngCB1dO3a1dXVdcuWLX379m1HaAAAoE1wVywAAAAAT+DmCQAAAACeQGIHAAAAwBNI7AAAAAB4\nAokdAAAAAE8gsQMAAADgCSR2AAAAADyBxA4AAACAJ5DYAQAAAPAEEjsAAAAAnkBiBwAAAMAT\nSOwAAAAAeAKJHQAAAABPILEDAAAA4AkkdgAAAAA8gcQOAAAAgCeQ2AEAAADwxP8BZJTdxnyG\n0fIAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot search location move trends\n",
    "\n",
    "p <- search_widget_sessions_pilotwikis %>%\n",
    "    mutate(search_type = ifelse(search_type == 'NULL', \"old search\", \"new search\")) %>%\n",
    "# review search sessions initiated that meet AB bucketing criteria\n",
    "    filter(\n",
    "         search_location %in% c('header-moved', 'header-navigation'),\n",
    "         is_anonymous == 'false',\n",
    "          source_type == 'autocomplete',\n",
    "          action_type == 'searchResultPage',\n",
    "         search_start >= '2021-03-10') %>%\n",
    "    group_by(event_dt, search_type) %>%\n",
    "    summarise(num_events = sum(events),\n",
    "             num_sessions = n_distinct(search_session))  %>%\n",
    "  ggplot(aes(x=event_dt, y = num_sessions, color = search_type)) +\n",
    "    geom_line(size = 1.5) +\n",
    "    labs(y = \"number of unique search sessions per day\",\n",
    "          x = \"Date\",\n",
    "         title = \"Daily Search Sessions Initiated by Logged-In Users on Pilot Wikis\")  +\n",
    "     theme_bw() +\n",
    "    theme(\n",
    "        plot.title = element_text(hjust = 0.5),\n",
    "        text = element_text(size=16),\n",
    "        legend.position=\"bottom\",\n",
    "        axis.text.x = element_text(angle=45, hjust=1)) \n",
    "\n",
    "p\n",
    "\n",
    "ggsave(\"Figures/daily_search_sessions_by_type.png\", p, width = 16, height = 8, units = \"in\", dpi = 300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Search sessions appear to be logging as expected following the deployment of the fix on 29 April 2021.  \n",
    "\n",
    "Some explanation of various decreases/increase: There's a decrease in new search widget session on 18 March when the regression occurred, a decrease in old search widget sessions when the AB test ended, and increase in new search widget on 29 April 2021 when the new fix was deployed.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Check non-pilot wikis events to confirm the data differs as expected"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {},
   "outputs": [],
   "source": [
    "# collect non-pilot search session data\n",
    "query <- \n",
    "\"\n",
    "SELECT\n",
    "    CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')) as event_dt,\n",
    "    event.inputLocation AS search_location,\n",
    "    event.searchSessionId AS search_session,\n",
    "    event.action AS action_type,\n",
    "    event.source AS source_type,\n",
    "    event.isAnon AS is_anonymous,\n",
    "    event.extraParams AS search_type,\n",
    "    event.skinVersion AS skin_version,\n",
    "    event.usereditbucket as edit_bucket,\n",
    "    wiki AS wiki,\n",
    "    Count(*) AS events\n",
    "FROM event.searchSatisfaction \n",
    "    WHERE year = 2021\n",
    "-- Review following bug fix on March 10.\n",
    "    AND Month >= 02\n",
    "--deployed at 7:00 UTC\n",
    "-- change deployed on 24 Feb 2021 \n",
    "    -- remove bots\n",
    "    AND useragent.is_bot = false \n",
    "    AND event.skin = 'vector'\n",
    "    AND wiki IN ('slwiki', 'bewiki', 'dewiki', 'ruwiktionary', 'eswiktionary', 'cawiki',\n",
    "            'da.wikipedia', 'rowiki', 'arwiki', 'idwiki', 'jawikiversity', 'jawiki', 'eswiki' )\n",
    "GROUP BY \n",
    "    CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')),\n",
    "    event.inputLocation,\n",
    "    event.skinVersion,\n",
    "    event.searchSessionId,\n",
    "    event.action,\n",
    "    event.source,\n",
    "    event.isAnon,\n",
    "    event.extraParams,\n",
    "    event.usereditbucket,\n",
    "    wiki\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Don't forget to authenticate with Kerberos using kinit\n",
      "\n"
     ]
    }
   ],
   "source": [
    "search_widget_sessions_non_pilotwikis <-  wmfdata::query_hive(query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {},
   "outputs": [],
   "source": [
    "search_widget_sessions_non_pilotwikis $event_dt <- as.Date(search_widget_sessions_non_pilotwikis$event_dt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'wiki', 'search_location' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A grouped_df: 17 × 4</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>wiki</th><th scope=col>search_location</th><th scope=col>search_type</th><th scope=col>num_sessions</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>arwiki      </td><td>header-moved     </td><td>NULL</td><td> 524</td></tr>\n",
       "\t<tr><td>arwiki      </td><td>header-moved     </td><td>WVUI</td><td>  11</td></tr>\n",
       "\t<tr><td>bewiki      </td><td>header-moved     </td><td>NULL</td><td>  31</td></tr>\n",
       "\t<tr><td>cawiki      </td><td>header-moved     </td><td>NULL</td><td> 354</td></tr>\n",
       "\t<tr><td>cawiki      </td><td>header-moved     </td><td>WVUI</td><td>   2</td></tr>\n",
       "\t<tr><td>dewiki      </td><td>header-moved     </td><td>NULL</td><td>2522</td></tr>\n",
       "\t<tr><td>dewiki      </td><td>header-moved     </td><td>WVUI</td><td>  10</td></tr>\n",
       "\t<tr><td>eswiki      </td><td>header-moved     </td><td>NULL</td><td> 350</td></tr>\n",
       "\t<tr><td>eswiki      </td><td>header-moved     </td><td>WVUI</td><td>   3</td></tr>\n",
       "\t<tr><td>eswiki      </td><td>header-navigation</td><td>NULL</td><td>  24</td></tr>\n",
       "\t<tr><td>eswiktionary</td><td>header-moved     </td><td>NULL</td><td>   2</td></tr>\n",
       "\t<tr><td>idwiki      </td><td>header-moved     </td><td>NULL</td><td> 679</td></tr>\n",
       "\t<tr><td>idwiki      </td><td>header-moved     </td><td>WVUI</td><td>  10</td></tr>\n",
       "\t<tr><td>jawiki      </td><td>header-moved     </td><td>NULL</td><td> 852</td></tr>\n",
       "\t<tr><td>jawiki      </td><td>header-moved     </td><td>WVUI</td><td>  33</td></tr>\n",
       "\t<tr><td>rowiki      </td><td>header-moved     </td><td>NULL</td><td> 420</td></tr>\n",
       "\t<tr><td>ruwiktionary</td><td>header-moved     </td><td>NULL</td><td> 826</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A grouped\\_df: 17 × 4\n",
       "\\begin{tabular}{llll}\n",
       " wiki & search\\_location & search\\_type & num\\_sessions\\\\\n",
       " <chr> & <chr> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\t arwiki       & header-moved      & NULL &  524\\\\\n",
       "\t arwiki       & header-moved      & WVUI &   11\\\\\n",
       "\t bewiki       & header-moved      & NULL &   31\\\\\n",
       "\t cawiki       & header-moved      & NULL &  354\\\\\n",
       "\t cawiki       & header-moved      & WVUI &    2\\\\\n",
       "\t dewiki       & header-moved      & NULL & 2522\\\\\n",
       "\t dewiki       & header-moved      & WVUI &   10\\\\\n",
       "\t eswiki       & header-moved      & NULL &  350\\\\\n",
       "\t eswiki       & header-moved      & WVUI &    3\\\\\n",
       "\t eswiki       & header-navigation & NULL &   24\\\\\n",
       "\t eswiktionary & header-moved      & NULL &    2\\\\\n",
       "\t idwiki       & header-moved      & NULL &  679\\\\\n",
       "\t idwiki       & header-moved      & WVUI &   10\\\\\n",
       "\t jawiki       & header-moved      & NULL &  852\\\\\n",
       "\t jawiki       & header-moved      & WVUI &   33\\\\\n",
       "\t rowiki       & header-moved      & NULL &  420\\\\\n",
       "\t ruwiktionary & header-moved      & NULL &  826\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A grouped_df: 17 × 4\n",
       "\n",
       "| wiki &lt;chr&gt; | search_location &lt;chr&gt; | search_type &lt;chr&gt; | num_sessions &lt;int&gt; |\n",
       "|---|---|---|---|\n",
       "| arwiki       | header-moved      | NULL |  524 |\n",
       "| arwiki       | header-moved      | WVUI |   11 |\n",
       "| bewiki       | header-moved      | NULL |   31 |\n",
       "| cawiki       | header-moved      | NULL |  354 |\n",
       "| cawiki       | header-moved      | WVUI |    2 |\n",
       "| dewiki       | header-moved      | NULL | 2522 |\n",
       "| dewiki       | header-moved      | WVUI |   10 |\n",
       "| eswiki       | header-moved      | NULL |  350 |\n",
       "| eswiki       | header-moved      | WVUI |    3 |\n",
       "| eswiki       | header-navigation | NULL |   24 |\n",
       "| eswiktionary | header-moved      | NULL |    2 |\n",
       "| idwiki       | header-moved      | NULL |  679 |\n",
       "| idwiki       | header-moved      | WVUI |   10 |\n",
       "| jawiki       | header-moved      | NULL |  852 |\n",
       "| jawiki       | header-moved      | WVUI |   33 |\n",
       "| rowiki       | header-moved      | NULL |  420 |\n",
       "| ruwiktionary | header-moved      | NULL |  826 |\n",
       "\n"
      ],
      "text/plain": [
       "   wiki         search_location   search_type num_sessions\n",
       "1  arwiki       header-moved      NULL         524        \n",
       "2  arwiki       header-moved      WVUI          11        \n",
       "3  bewiki       header-moved      NULL          31        \n",
       "4  cawiki       header-moved      NULL         354        \n",
       "5  cawiki       header-moved      WVUI           2        \n",
       "6  dewiki       header-moved      NULL        2522        \n",
       "7  dewiki       header-moved      WVUI          10        \n",
       "8  eswiki       header-moved      NULL         350        \n",
       "9  eswiki       header-moved      WVUI           3        \n",
       "10 eswiki       header-navigation NULL          24        \n",
       "11 eswiktionary header-moved      NULL           2        \n",
       "12 idwiki       header-moved      NULL         679        \n",
       "13 idwiki       header-moved      WVUI          10        \n",
       "14 jawiki       header-moved      NULL         852        \n",
       "15 jawiki       header-moved      WVUI          33        \n",
       "16 rowiki       header-moved      NULL         420        \n",
       "17 ruwiktionary header-moved      NULL         826        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "search_sessions_non_pilot <- search_widget_sessions_non_pilotwikis %>%\n",
    "# review search sessions initiated that meet AB bucketing criteria\n",
    "    filter(\n",
    "         search_location %in% c('header-moved', 'header-navigation'),\n",
    "        is_anonymous == 'false',\n",
    "         source_type == 'autocomplete',\n",
    "         action_type == 'searchResultPage') %>%\n",
    "    group_by(wiki,search_location, search_type) %>%\n",
    "    summarise(\n",
    "             num_sessions = n_distinct(search_session)) \n",
    "\n",
    "search_sessions_non_pilot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "New search widget sessions (indicated by search_type = \"WVUI\") were recorded on some of these non-test wikis but not as many as would be expected if available to all logged-in users that are opt'in to the new skin."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`summarise()` regrouping output by 'event_dt' (override with `.groups` argument)\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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9br9bZ7+elO3pkzZ5hdKIq6du2aK7uwmSfYVGAMF5tNYmLit99+62L1nGj0dmN9\nff20adOcz0RPSEg4cuQIu8vevXudVz4+Pt5u5TUaTYcOHWzL9+nTx8WX8+qrr7J57Zzo06fP\nn3/+6avXy/D4JHXxvjVN01VVVc5HIT755JPuHtmz+9YBeZ89aFceN0Xn18Ymvvh4/Cqca/oe\nQhdPcCdH8Oar0PXLi8cXAZqmv//+e2ZKp+1ntGvXLjZW8ayHsEePHqWlpX369LE9PkVRM2fO\ntO2cEfDVtzmutO4euYl7CGl3PmvvG5g3p0yoQUAYiuz+so+MjExJSenQocOYMWNef/31//73\nvy5mfD58+PDEiRPT09OlUmlsbGynTp1mzZr1119/0ZwlK/wUELJdUoSQU6dOuVJbR1wJCGnO\nmA3nV1iDwbBq1aoRI0akpaVJpdLo6OgOHTo89dRTTkYE+enCPWvWLGaXgQMHurgLTdO33nor\ns9eyZcvYjY4CQoqioqKisrKyxo8f/9lnn9XW1rr+RE64+O2Sn5//r3/9KycnJyUlRSqVyuXy\nlJSUnJycmTNn/vjjj0ajUVD+8uXLn3766SOPPNKtW7f4+PiwsDCZTJaamjps2LD333+/qqrK\n0RNpNJqFCxf279+f2Yupm+sBIU3TZrP54MGDCxYsGD16dLt27aKjo8VicUREREpKysCBA2fN\nmpWbm9vozyZ3Xy/Ds5PU9Z8p7LM8/fTTnTp1io2NFYvF0dHRXbt2nTp16rZt20wmk7tH9vhn\nSkDeZw/alWdNsdFrYxNffDw+oZxo+oCQdu0Ed34Ej78KXXx2lmcXAZqmi4uL58yZ07Fjx4iI\niOjo6M6dO8+bN+/69es0TXsfENI0bTAYVqxYMXDgwKSkJKlUmp6ePnHiRCcjRbl8+G2OK61b\nR276gND1z9pXDczjUyakUPTNmwwabnrHjh1jZoT37NmTGXIDAAAAzQu+zUOH65+1SqVKSUkh\nhPTo0YMdHQp+giyj0IyxSyMwiyUAAABAs4Nv89CBzzo4oYcQmiuNRtOyZUutVqtQKEpKSpjM\n3QAAANCM4Ns8dLj1WaOHsCmhhxCaqzfffJNJD/X444/j+wMAAKA5wrd56MBnHbTQQwjNyYkT\nJw4fPtzQ0JCbm7tz505CiEKhuHDhQmpqaqCrBgAAAC7Bt3no8PizRg9hU8I6hNCc7Nq1a968\nedwtH330Eb4/AAAAmhF8m4cOfNbNAoaMQrOUlJR011137du3b/LkyYGuCwAAAFzCLH4AACAA\nSURBVHgC3+ahA591MMOQUQAAAAAAgBCFHkIAAAAAAIAQhYAQAAAAAAAgRCEgBAAAAAAACFEI\nCAEAAAAAAEIUAkIAAAAAAIAQhYAQAAAAAAAgRCEgBAAAAAAACFFhga5AsHj66afPnz8f6FoA\nAAAAAAD42NixY5977jm7DyEg/J+TJ0+KRKLWrVsHuiI8ZrOZEBIWho8pRFmtVkKISISe/BBl\nsVhomsYVIGTRNE3TNK4AIQtXgBCHK0CI8+EVgKbp8+fPnzlzxlEBXGVuyMzMXL9+faBrwVNV\nVUUIiY+PD3RFIDD0er3Vao2IiAh0RSAwampqLBaLUqkMdEUgMAwGg9lsjoyMDHRFIDA0Go3J\nZFIqlRRFBbouEAAmk8lgMCgUikBXBAJDq9Uajcb4+HjvbwqYTKZ+/fo5KYC7DgAAAAAAACEK\nASEAAAAAAECIQkAIAAAAAAAQohAQAgAAAAAAhCgklbnBYrFUV1cHuhY8TJLJYKsVNBkmw5jB\nYAh0RSAwrFYrTdO4AoQs5gpgNBoDXREIDOY3QE1NTaArAgGDr4BQxlwBNBqN94cymUzOCyAg\nvEEsFsfFxQW6FjxMltFgqxU0GWQZDXFMllFcAUIWsoyGOCbLaGxsLLKMhiZkGQ1xTJbRmJgY\nn2QZdV4AQ0YBAAAAAABCFAJCAAAAAACAEIWAEAAAAAAAIEQhIAQAAAAAAAhRCAgBAAAAAABC\nFAJCAAAAAACAEIWAEAAAAAAAIEQhIAQAAAAAAAhRCAgBAAAAAABCFAJCAAAAAACAEIWAEAAA\nAAAAIEQhIAQAAAAAAAhRCAgBAAAAAABCFAJCAAAAAACAEIWAEAAAAAAAIEQhIAQAAAAAAAhR\nCAgBAAAAAABCFAJCAICb2XWDYeyZcxm/HRt9+lyh3hDo6gAAAEBwcSMg7N2798qVK7Varf9q\nAwAAPmSlybgz57+vrCoyGLerq8aeORfoGgEAAEBwcSMgPHbs2JNPPpmcnDxp0qT9+/fTNO2/\nagEAgPd+rKrKq61j/z1ZV3++QRfA+gAAAECwcSMgHDJkCEVROp1u/fr1gwYNatu27eLFi4uL\ni/1XOQAA8MayolLBlrP1DQGpCQAAAAQnNwLCPXv2XL58+dVXX83MzCSEFBQUvPLKK5mZmSNG\njPjuu+9MJpPfKgkAAG47U9+wp7pGsBE9hAAAAMDlXlKZVq1avfHGG1euXPnll18mTpwol8st\nFsuPP/44fvz4tLS02bNn//XXX36qKAAAuOWDohLbkf3nG9BDCAAAADd4kmWUoqg777xz06ZN\npaWly5cv79mzJyGkoqLivffe69SpU79+/VavXl1bW+vrqgIAgKsqTaZNZRW228+hhxAAAAA4\nvFp2IjY29qmnnjp27Njp06dnzZrVokULQsiRI0emT5+ekpIyZcqUo0eP+qieAADghhUlKp3V\narv9fIMOCcEAAACA5Zt1CNu2bduvX7+uXbuyW+rr69etW9e3b99BgwadPn3aJ88CAACuMNH0\nyhKV3YfqLZYiA1YjBAAAgP8J83L/kydPfv755xs3bqyqqmK2pKamPvbYYxEREevWrSsoKNi/\nf3+fPn1yc3OZkaUAAOBvX5dXFhmMjh49V6/LkMmasj4AAAAQtDzsIayqqvroo4+ys7Ozs7M/\n+uijqqoqsVg8cuTI77///tq1a4sXL54/f/6lS5e2bdvWsmVLnU738ssv+7beAADgyEfFJU4e\nRaJRAAAAYLnXQ2i1Wnft2rV27drvv//e8Pego9atW0+dOnXKlCmpqancwhRFjRkzRqlU5uTk\n5OXl+azKAADg2EGN9ndtnZMCSDQKAAAALDcCwvnz53/xxRdFRUXMvzKZbOzYsU888cTQoUMp\ninK0FzNStLq62suKAgCAKz7kL0ZPEXJblOJ47Y0QEYlGAQAAgOVGQLho0SLmj06dOk2dOnXS\npElKpbLRvSQSSVpamoe1AwAAdxTqDVsr1dwtd8fH9YuJ4gaEGDIKAAAALDcCwsjIyAkTJjzx\nxBP9+/d3fS+xWMx2KgIAgF99XFxqpnnrSsxIT9VazNwtKqOx2myOC/M2qRgAAADcBNz4QVBa\nWhoVFeW/qgAAgDcaLNbPVWXcLe0jwofFx56tF04aPN+g6xeN6zkAAAC4k2UU0SAAQDBbqyqr\nMvE6A2elp1KEtAsPD+PP9MaoUQAAAGD4ZmF6AAAILJqQj4t56WTiwsIeSWpBCJGKqFZy3sKD\nSDQKAAAADLfnkGi12i+++OKXX365cOGCRqMxm812i1VWVnpdNwAAcNWP6mpBv9//pSZHisXM\n3x0jIvJ1evahc/XoIQQAAABC3A0IDx8+PH78eJVK5afaAACAZ5YV8RajD6Oop9OS2X87RIRv\n5yQfxZBRAAAAYLgREKpUqtGjR6vV6qysrAkTJnzyySdarXbx4sU1NTV//vnnnj17TCZT+/bt\nJ0+e7LfaAgCAHWfrG3ZX13C33N9CmSG7MUy0Q0Q499HLer3eapWLMGsAAAAg1LkREH700Udq\ntbp9+/Z5eXkKheI///mPVqudN28e82hxcfG0adN++umnkpKSDz/80D+1BQAAO5YVldD8LTPS\nU7n/doyM4P5roel8nb4zfyMAAACEIDduD//000+EkNmzZysUCttH09LSfvjhh4EDB3700Uc7\nd+70WQUBAMCpKpN5Y3kFd0vPKEVf/qoSHfk9hISQc8grAwAAAG4FhAUFBYSQAQMGMP9SFEUI\nMZlMbIGwsLA33niDELJixQpf1hEAABz7tETVYLFyt8zOSBOUiQ0LS5JKuFswjRAAAACIWwFh\nfX09ISQ5+X9ZCuRyOSFEq9Vyy9x2222EkOPHj/usggAA4JiJpleU8FabSJNJx7dQ2pbsGMEb\nIIqAEAAAAIhbAWFMTAwhRKPRMP8mJCQQQi5dusQtw8SHWHMCAKBpfFNeWWQwcrf8My1Fwl+G\nniHIK3OuHkNGAQAAwJ2AsF27doSQ0tL/3Yru2rUrIWT79u3cMjt27CCExMfH+6yCAADg2If8\nxegjxKJpKcl2SwoCwgs6nZW2WxAAAABCiBsB4ZAhQwgheXl5zL/33XcfIeTf//73mjVrtFpt\nVVXVF1988dJLLxFCBg8e7IeqAgAAz2FN7VFtLXfLpKREpcR++mjBkNEGi/W6weDHygEAAEBz\n4EZAOGrUKELIli1bmH+HDx8+aNAgg8HwxBNPxMTEKJXKyZMna7Xa8PDwV155xS+VBQAAjmXF\nvMXoKUKe4682wdUBiUYBAADAhhsBYe/evbds2TJr1izmX4qitm7dOmbMGG6Zli1b7tixo3Pn\nzr6sIwAA2Cg2GLdWqLlbhsXH2i4vwcqQyxRiMXcL8soAAACAGwvTi0Si8ePHc7fExsZu27bt\nypUrx48f1+l0rVq16tu3r0QicXQEAADwlQ+LS0w0bxbgDMfdg4QQipD2EeHHa+vYLQgIAQAA\nwI2A0JHWrVu3bt3a++MAAICLGizWNaVl3C3tIsKHx8U536sDPyDEkFEAAABwY8goAAAEiXWq\nMrXJzN0yMz1VZGexCR7BNEL0EAIAAAACQgCAZoYm5GP+ahNxYWGTklo0uqMg0Wi50SSIKgEA\nACDUOBsyOn/+fI+Pu3DhQo/3BQAAJ35SV5/jd+5NT02O5CeMscs20ej5hoYBMdG+rBwAAAA0\nK84CwkWLFnl8XASEAAB+IlhtIoyink61vxi9QNvw8DCKMnNS0Zxv0CEgBAAACGXOAsK0tDTb\njVqttrb2f+sgR0ZGKhSKurq6+vp6ZktUVFR0NH5bAAD4y4UG3S9VNdwt41soW8plruwrFVFt\nwuUXOb2LmEYIAAAQ4pzNISyysXLlSrFYnJSUtGzZsmvXrtXV1alUqrq6umvXrr3//vuJiYli\nsXjVqlVFRUVN9gIAAIJHicG4vLh06oX8RYVFGrPFH0/xflEJzd/yXJqz1SYEBAsVItEoAABA\niHNj2YkzZ8488MADqampBw8eTE7mDU/KyMiYOXPmhAkTcnJy7r///ry8vFtvvdXXVQUACFLX\nDYbvKtQ71NX7ajTsgMzVparNt3boHa3w4RNVm80byiq4W3pEKfrHRLl+hA4REd+TKvZf9BAC\nAACEODeyjL799ts6nW7p0qWCaJCVmpr67rvv6nS6d99910fVAwAIXoV6w7Kiktv/OJ35W97M\n/Cu7q2u40/MK9YaBJ08vKypxcgR3rShR1Vt4HY/PO12M3pYgr8wVnV5ntfqgZgAAANA8udFD\nuG/fPkLIoEGDnJQZPHgwIWTPnj2NHo2m6VOnTh05cuTs2bMqlYqm6YSEhOzs7PHjxyckJNiW\nt1gsP/zww6+//lpaWiqTyTp27Pjggw+2bdvWm5IAAB64otf/UFn1TYX6sEZLOy1psFpn5l85\nVlu3sl2WK1lAnTPT9KfFKu6WVJn0/hZ2LphOCAJCKyGXGnRdFZFe1g0AAACaKTcCwvLyckII\nTTv7/cM8ypR07rfffluyZAkhJCwsLCUlxWq1qlSqnTt37t27980332zXrh23sMViWbBgwYkT\nJ8LDwzt37qzVan///ffjx4+//PLLvXr18qwkAIBbztY37FBXbVdXH9Jo3dpxY1nF8dq6bzp1\n6BwZ0Xhpx76pqLxuMHC3PJOaIm10NXq+WyOEdTiPgBAAACCEuREQKpXK0tLS3bt3P/DAA47K\n7N69mxASHx/f6NFomu7UqdOoUaN69uwplUoJIWq1+r333jt9+vTSpUtXrFghEt0Yzrp9+/YT\nJ05kZmYuXLgwJiaGEHLgwIF33333/fffX716dWRkpAclAQBc8Udd/ZaKym8r1Be8mG53vkHX\n78Sfq9pnTUxsfPl4Rz4s4i1GHy4STU9Ncvcg0WHiVJm0xGBkt5zDNEIAAIAQ5sYcwiFDhhBC\n5syZc/36dbsFCgsLX3jhBULI0KFDGz1ar1693nrrrf79+zPRICFEqVTOnTtXKpWqVKqLFy+y\nJWma3rp1KyHkqaeeYmI8QkhOTk7//v3r6ur++9//elASAMC5s/UNr1+91uH3E7flnVxcWORK\nNNhaLn8uPeVAdpdfu3dO/vvKxqqzWP7x18VJ5y55NmfvN23tEW0td8ujyYkJEokHh2ofzhs1\neh6JRgEAAEKYGwHhvHnzJBJJYWFht27dFi1adPbsWbPZTAgxm81nz55duHBh9+7dr1+/LpFI\n5s2b1+jRpDa/lgghUVFR6enphJDq6mp246VLl6qrqxMSEgSZS3NycgghR44c8aAkAIAtK02O\n19a9fvVa26PHOx/7442r112JA2+NjHipZfqB7C6X+/ZYdkub22OiB8fG5PXodru9Bd/Xl5Xf\n/sfpyzq9u3WzTU7zjGuL0dvqyB+5ikSjAAAAocyNIaOdOnXauHHjww8/XF1dPX/+/Pnz51MU\nJZPJ9Pobv2wkEsnGjRs9XnPCarWq1WpCiFKpZDdeuXKFEJKVlSUozOSJuXr1Kk3TFEW5VRIA\ngKvYYHznetGWCjV3LKVzt0Upxico72+hbMdP08JIk0n3du8893Lhe9eLBROvT9TW9Tx+6ouO\nbUcpGx9dzygyGL+rUHO33BUX6/HEP8FShBcadFaauDkVEQAAAG4SbvQQEkIeeOCBvLy8u+66\niwmraJpmo0GKou666668vDwnMwwbtW/fPo1Gk5SUxE0KyqSosU09ygSNer2+trbW3ZIAAKxq\ns7nviVMfFpU2Gg1ShPSJjnonq1VBnx7He3R7OTPdbjTICKOopVmtvuvcITZMeOut2mwec/rc\nS5evmp2m6WJ9Ulxq4pec4eZqE1yCRKM6q/Wq3u0eSwAAALg5uNFDyOjateuuXbuuX79+6NCh\nq1ev1tXVKRSKVq1aDRgwICMjw5uqqFSqzz77jBAydepUbj+eTqcjhMjlckF5sVgskUhMJpNO\np4uOjnarJOO9997bv38/87fZbLZYLNyhqsHAarUS/gBaCClM2l4DP7Ek+NwH5ZVFTkNBESFd\nI8KHRyseiI1pI5MSQoheV613aaTlHWJRbtvWUwqLjvNHZtKEvHOt+IC6ek1merLE/qXYarXS\nNF2irlpVwksnkyWT9aU8vzKkmMyCLccrKuKiFJ4dDfyHuQIYja72WsNNhvkNUFNTE+iKQGDQ\nNE3TtMlkCnRFIDCYK4BGo/H+UI22IrcDQkZGRsZDDz3k2b52abXaN998s66ubvTo0X379rUt\nYHeop901MFwvCQBAE7Kxyv7VVkRIr8iIMTFRY2NjHMVsrkiXSnZkZb6uKl9ZUSV46Lf6hoEX\nL69smTY4yuH4z6+qa6rMvMXon0yI82aEZ4okLEosqrXcyG1zUW+8M8rzAwIAAEDz5flPHB+q\nr69/9dVXi4qKBg8ePHXqVMGj4eHh5O/ePy6LxcJktQn/O2Oe6yUZzz///PPPP8/83b9/f7FY\nHBcX55NX5CtVVVWEkGCrFTQZvV5vtVojbBaOAx/aXV1TwO+DFVNU3+ioB1ooH0xMsE0W6rEV\nSmVOWcWTFwvqLLzortJsvv9y4Yst0xe3zhSEeTU1NWaL5bMqXv9AbFjYk21aKbxb5r5DRMSx\n2jr230KaxnUmCBkMBrPZjAWTQpZGozGZTLGxsUh/EJpMJpPBYFAoMHwjRGm1WqPRGBMTw12K\nzzP+6iH0IZ1O99prr12+fLl///4zZsywveq1aNGCEFJZWSnYzqSfkcvlUVFR7pYEAGCsLi3j\n/iuhqIt9erSSy/zxXA8ntchWRN5/9vw5m+Gjb18rOlVXv75jW8FKEntr6wWFn0hJ8jIaJDYB\nIZYiBAAACFneRpxe0uv1b7zxxsWLF3v16jVnzhy7EXCbNm0IIQUFBYLtly5dIoS0atWKjSFd\nLwkAQAipNJm+r+QN4xyVEO+naJBxa2TE8Z7dH0+xs6D8z1XV2XknD2t4ua9WqnkTBcUU9XSa\nh6tNcAnyypzDUoQAAAChKpABodFoXLBgwV9//dW9e/e5c+eKHdzzbtu2bVxcXGVl5V9//cXd\nfuDAAUIId8Kh6yUBAAgha0rLDPxl4qen+CDcci5cJFrT/pYvOrQNt7kFVmQw3nHy9NvXiphJ\nz/l6w15OPx4hZFyCsrVN3iwPdIzkBYRqk7kSeQsAAABCUsACQrPZvHjx4tOnT3fu3Hn+/PkS\n/igpLoqixowZQwj59NNP2Uw7Bw4cOHz4cGRk5LBhwzwoCQBAE7KmtJy7paVcdmdcTNM8+6Tk\nxEO3dc0KF0Z3Zpqee7nwvjPnaszm5RVqK//RGekpPnn2DjYTUzFqFAAAIDQFbA7hrl27Tpw4\nQQipra19+eWXBY+OGTMmJyeH+++pU6f++OOP//u//+vYsaNGo8nPzxeJRLNmzRLMtXW9JACE\nuL3Vmkv8HFTTU5LFTTiwPFsReaxHt8nnL/1QKcw++n1lVe/jfxbzs930jFIMiIkmvnBLuFxC\nUdy1Dc836HJ8dHAAAABoRgIWEDJpPwkhhYWFto8K1tcSi8Wvvvrq999//+uvv54+fVoqlfbu\n3XvChAnt2rUT7Oh6SQAIcatKVdx/wyhqSnJiE9chLixsW+eOHxaVzCm4Klh6/pJNwuSZXixG\nLyChqKxw+XlOr+B5TCMEAAAISQELCEePHj169GjXy4vF4nHjxo0bN86HJQF8rlBvmHL+Uq5G\n2yEifEW7rNvR5RKsKkymrZVq7pZRyvhUmc8WmXAdRciM9NTbohQP/XWhxOBwCfIUqfSBFgk+\nfN6OERHcgPBcPYaM+kCZ0fT4hUu7qmpay+UftW0zPD420DUCAABohBtzCBUKRURExGeffea/\n2gA0d5POX9xbo7HQ9Nn6hrFnztXzV5yD4LFOVW608nrkpqXayfzZZHJiov/o0X2o4xmMT6cl\nS71Zjd6GINHoecwh9IVHzl38UV1tpulLOt34s+fLjEjVAwAAwc6NgNBkMul0up49e/qvNgDN\nWrnRlFujZf9Vm8y7qzUBrA84QhPyGX/5wUy5bHigV2ZPlEr+27XTvzIzbK/LcpHo/1J9nP5U\nEBAW6vUNFqujwuCKbZXq3dU17L/1Fsu3FcJ1cQEAAIKNGwFhSkoKIQRL+QE4cryuTrDlkEZr\ntyQE1r4azUWb1d592v3mITFFvdm65c6utwqWp38kqUULx6mYPdMxkpdo1ErIRZtZi+A6g9X6\nQsFVwcYd/GUkAQAAgpAbAeHQoUMJIUePHvVbZQCat+O1woDwsLbWbkkIrFUlwnQyjycHcryo\nwN3xcSd6dmMnoN4aGbGodabPn6V9eLggBMby9N5YVlRaoNMLNu6t0aDfFQAAgpwbAeHs2bPD\nw8OXLFlSVSXMkA4AhJDjtfWCLXm1dYJ1zyHgKk2mrfxlHkYo4wKSTsaJDJksN7vLL21bf9+m\n5cme3ROlPu4eJIREh4kFrxrTCD1WZjQtunbddrveauUOIgUAAAhCbgSEt95669dff61Wq/v2\n7fvtt9/q9cJboQAhLq9W2B9osFpto0QIrHWqckGUPj3Fx9PzfIIipGdkxIDICInfBuojr4yv\nvHylUGu2n0FqZxVGjQIAQFBzY9mJzp07E0LkcvmlS5fuv//+sLCw9PT0yMhIu4XPnDnjmwoC\nNBPlRlORvTUDDmm1/WOimr4+4Mjn/HQyGTJZyK4N0DEiYg8n7xECQs/8UVe/jt+ouLZXVq1o\nlxUEE1QBAADscyMgPHv2LPdfs9l89epVH1cHoNmyzSjDOKypJRlNXBdwaG+N5hw/7JmWmiQO\n1VxZgh7Ciw06C02H7LvhsZn5l52MCy81Gk/W1Wcr7N88BQAACDg3AsJnnnnGf/UAaO5sM8ow\nDmu1NCH4iR0kVpfwenKCLZ1ME+sYwUs0qrdar+oNWeHyQNWnOfqmopK72AwhpGNE+IUGHTdE\n3KGuQkAIAABBy42A8OOPP/ZfPQCaO0dzBcuNpnydrm14uN1HoSmpTeatlWrulhHKuLQgSyfT\nlAQ9hISQ8w06BISu01utL9osNfFpu6y5lwuPcDIM71RX/ysT4wQAACBIuZFUBgCcsM0owzqk\nweITQWGdqkzPTyczLSjTyTSZVJk0JkzM3YKVJ9zy7+slV/UG7pYHWiTcERszQhnH3XhMW6sy\n2plgDAAAEAwQEAL4QIXJfkYZxmEsTx8cPleVc/9Nl0nvDtV0Mqz2SDTqqTKj6Z3rRdwtcpHo\nnaxWhJCRynjudishP1dh8QkAAAhSbgeEFotl8+bN9913X8uWLSMiIm655Rb2oatXr37wwQfL\nly/3aQ0BmoE8BxMIGYewPH0Q2F+j+aue1/01LSUZCVQE0wgRELruxctXBUtNzM5IbSWXEUK6\nKyJbymXch3aqsX4vAAAEKTfmEBJCysrKxo8ff+jQIXaL2Wxm/05MTFy4cKFare7Ro0efPn18\nVkeAoOcoowzjXH1DlckcL3HvdAPfWsVfGEBMUZOTEwNVmeAhmEaIIaMuOlFbt4Hf4ZwklbyY\nkc7+e0983MoSFfvvz1U1BqtVJsKoHAAACDpufDkZjcYRI0YcOnRILBbfd99977zzjqBARETE\nhAkTCCHbt2/3ZR0Bgt4JfkaZRKmE+y9NyG/oJAwotcn8XQUvncy98XGCPpzQJOghrDKZy42m\nQFWmuaAJedZmqYm327SK5kzIFEwjrLNYDmDoOAAABCU3AsI1a9YcP35coVDk5uZ+9913c+bM\nsS1z9913E0IOHz7sswoCNAeCIaMTE1sIcnUc1uK3YCB9oSoXpJOZnhq6q01w2U00GpCaNCNf\nllUc5meKui1K8WgSr8P5zrjYCDHvG3anuropKgcAAOAmNwLCr776ihDy+uuv9+/f31GZLl26\nEELOnz/vfc0AmotKk+m6gZdpsFeUok90FHcLEo0G1hoVb7xoukx6T3yco8IhJStcLhjHiFGj\nzums1pevFHK3UIR8cEtrEX86arhINDg2hrvlB0wjBACAoORGQHj69GlCyNixY52UUSqVhBC1\nWu2kDMBNxjajTI8oxYDoaO6W37W1RivdhJWCG3JrtIJ0MlNTkpBOhhFGUYKFB9FD6Nw714oL\n+UtNPJTYIicm2rbkCH6u0cs6/QW8twAAEHzcCAjr6urI3yGfIwaDgRASFobkGRBCBEvSK8Ti\nduHhA2J4PYQ6q/Vknf2V68HfVpWquP+KKWpKMsaL3tABK0+4rNhgfPd6MXdLuEj0VptMu4VH\nKuMEdx12oJMQAACCjxsBYVxcHCFEpVI5KXP27FlCSFISfmxBCBGkGM1WRIoo0jc6KozfB3UI\n0wgDocZsJ51MJtLJcHREolGXvXj5ar2Ft9TEiy3THDWnDJmsiyKSuwXTCAEAIAi5ERBmZ2cT\nQnbu3OmkzNq1awkhffv29bJaAM3I8TpeQNgjSkEIiRSLu0Ty8jdiefqAWKsq1/HTyUxDOhm+\nDvxEo9f0hjp+zAOMI9raL8squFvSZNI5GWlOdhnJzzV6QKOt4azVBAAAEAzcCAiZJSUWL15c\nUFBgt8DGjRvXr19PCJk4caJPKgcQ/CpNpmv8CUVMQEgIGcCfVnQQeWUCYU2pMJ3MvUgnwycY\nMkoTckmnD1RlghZNyIz8y4J5wO+0aRUpFtvfgRBCyIh43jRCM03vqqrxQ+0AAAA850ZAOGnS\npC5dulRVVfXt23fZsmWXL19mttfV1e3bt+/RRx999NFHaZrOyckZNWqUf2oLEHTsZpRh/hAE\nhCqj8Yoev7Ob1AGN9izSyTSmQ0S44B05V49Ro0LrVeW/a3kne9/oqIlJLZzv1Tc6SrAq6c4q\njBoFAIDg4kZAGBYWtn379tatW1dWVs6cOTMrK4sQUlhYGBUVNXjw4A0bNtA03a5du6+//tpv\ntQUIOvYyyvwvZ2N//soTBItPNLnVJbzuQREhSCdjSyEWp8t4s+CQV0agwWKdf+UadwtFyLJb\n2jR6a0FEkeFxvB7pneoqC42EwwAAEETcCAgJIZmZmSdOnHjyySflcrngmN5UpAAAIABJREFU\nIYlEMn369KNHj6akpPiuegDBTpBRprsiku2AaimXZfB/Z2MaYVOqMZu/razkbrlHiXQy9iHR\nqHOLr10XrDX6SFJi72iFK/uO4E8jVJvMR7XCYQUAAAAB5Pb6ELGxsZ9++umSJUsOHDhw4cKF\nmpoahUKRlZU1ePBg5ytSANyU7GaUYfWPifq6/MbvyENa9BA2nXWq8gYLL53M9JTkQFUmyHWM\nDP+l+sbcNiQa5bpuMLxfVMLdEiEWLWzd0sXd746Pk1CUidMruLOqqn+McPgAAABAoHi4YGBM\nTMzIkSNHjhzp29oANC/2MsrwsswPiIn+uvxGJ9WZunqN2RIT5iwLBfjKZ/x0MilS6b1KpJOx\nT5Bo9KJOZ6bpMEy2JIQQ8kLBVcGdhXkt01u63NUcEya+PSZ6b42G3bJDXb2otf2lCwEAAJqe\ne0NGAYBLMIGQENIzinfjXzCN0ErIEXQSNomDNulkpqUmIcJxRDBk1GilkQCJcVhT+005b+Bx\nhkz2fLqzpSZsCUaN/llXX8i/kQQAABBAHvYQ1tTU/P7771evXq2trY2KimrVqlXv3r1jY2N9\nWzmAICeYQMjNKMPopohUiMXcVd0Oa7XD43Gm+N3qUmE6mceRTsYxwdr0hJDzDbq24cKNocZK\nk5k2S00szWoVIXbvXuoIZfwLBVe5W36sqn4qFQOYAQAgKLgdEF6+fHnevHlbt241mUzc7RKJ\n5L777nvrrbfatGnju+oBBDXBBEJuRhlGGEX1jlb8Wn1jtNgh5JXxvxqzeUsFr1fnbqSTcSpZ\nKo0LC6vmrJl+rl43KuRnha9TlR3j3/TpHxP1QGKCu8fpEBHeNjz8ku5Gqp6d6ioEhAAAECTc\nu835008/denSZfPmzYJokBBiMpk2b97cpUuXn3/+2XfVAwhqgh5CQUYZxoBo3mqER7R1ZiSd\n97P/qCqQTsZd7YWJRkM9r0ytxSJYakJEyAcuLDVhl2DU6K/VGkETBQAACBQ3AsL8/Pzx48c3\nNDSEh4fPmjUrNze3oqJCp9NVVFTk5ubOmDFDLpc3NDSMGzcuPz/ffzUGCBJqk7nQaUYZhiCd\nYL3F8medcOYh+NbqUhX3X6STcUVHrDzBt6iwqNRo5G6ZnJLUy95NH1cIAkKd1bqnpsZRYQAA\ngKbkRkC4aNEinU6XlJR0/Pjx9957LycnJyEhQS6XJyQk5OTkfPDBB3l5eYmJiTqdbvHixf6r\nMUCQEHQPEkJuU9j5sdgvOlpwmh1GXhl/OqypPcNPJzM1JUmCdDKNESQaPRfaAeFlnX4Zf6mJ\nKLHY9aUmbA2MiYnmpxfeqa72+GgAABCEjmprTc1zFJgbAeEvv/xCCHn33Xc7duxot0CnTp3e\neecdtiTAzS2PHxBGiEUdbDJzEEJiwsSdInk/tTGN0K9W8bsHRYRMTUE6mcYJWm+N2azi94+F\nlDmXr+qtvCGdL2emp0ilHh9QKqLuiuNlk9qurmqWvxoAAMCeSpPpjpNnWv6WN/dyYYGumWXq\ndiMgrKioIITcc889Tsrce++9hJDy8nIvqwUQ/E7wM8pkKxRiB91QA2J40wgPadBD6C81ZvM3\n/HQyw+LjWiGdjAs6RgpvZ4RsJ+G+Gs13FWrultZy+cz0VC8PO0IZz/23xGA8hdHjAAA3i7Wq\ncoPVqjIa375W1O7o8eF/ni03ClOuBC03AsKEhARCiNTpLVLm0RYtWnhZLYDglyfMKGNnAiFD\nMI3wusFw3YBVyPxifZlNOplUdA+6pI1cLhPxvhFCcxqhlSaCJSIIIUuzWslF3i7bOyI+TnCI\nHeoqL48JAADBgCbkM856V1ZCzjfolBIPl/drem58w91+++2EkMOHDzspc+jQIULIHXfc4WW1\nAIKcnYwy9iYQMgSJRgkhh9FJ6B+f85cfTJZKR/K7ZcARMUXdwl9FMzQTjX5WqhJMDx4UGzOu\nhQ+W4EiUSnpF8+4NYRohAMDNYW+15iL/Luq0lCRHA8eCkBsB4Zw5cyQSyYsvvljjIDdadXX1\niy++KJVKX3jhBR9VDyBI2WaUsbvmBKNNuFww+wjTCP3hsKb2JH8M3hNIJ+MOJBqttVheu3qd\nu0VEyNKsVr46viDX6O/a2rLmM6AIAAAcEaQ3D6OoKcnNaYCSGwFhz549N2zYUFBQ0LNnz40b\nN9bW3ujiqK2t3bBhQ48ePa5evbp+/frs7Gw/VBUgiAgmEDrKKMMSjBo9hESjfrAa6WS801GQ\naLS+eQSEOqtVZ/XNmn5vXr0uSKUzNSXJyb0edwn6q62E/FyFTkIAgOatwmTaWsmbAjBSGZ8m\n8zwPWdNzY2xr586dCSHh4eEFBQWPPPIIRVHp6emRkZF1dXXFxcU0TRNClErlm2+++eabb9ru\nfubMGV9VGiDgBD2E3RWRzgcG9I+O/paTpuLPuvo6i0UhFjvZBdxSYzZv5qeTuSs+Fulk3CK4\nqVFkMAR5K60xmx8+d/FHdTUhJF4SliaVtpTLUqXSNJmM+SNdJs2QyQTrPTiSr9N/WMxbaiIm\nTLywdaYPK9xdEZkmkxYbbsScO9XVjyUn+vApAACgiX2hKjdYm3f+AjcCwrNnz3L/pWn6+vXr\ngjJqtVqtVhOAm93xWt7QRCcTCBkD+D2EZpo+qq0dyk9DD97YaJtOJiU5UJVppgQBIU3I+QZd\nT9/1j/ncnIKrP/49Da/KZK4ymU/X25n3qBCLM2TSNJksTSZtKZOlyv4XKKbKpC0kErbY7IIr\nRitvJYhXMjMSpRKb43mOImSEMn5VyY2u7P9WV5toGgObAQCaKZqQ1fz8BZly2fC4OEflg5Mb\nAeEzzzzjv3oANCNVJvNVPW+FmUYHlWUrFOEiEXdg22EEhD61in85TpFKRyUgnYx72keEU4Rw\nQ6JgDghrLZYvyysbL0dIncVyrkFndxUNuUiULpOmyqQJEskP/AE/t4TLZ6R5u9SErRHxcdyA\nUGu2HKjRDomL8fkTAQBAE9hfI0wnMzUlSdTc7vK5ERB+/PHH/qsHQDNyvK5OsKJ0owGhVET1\nilbk1tzIJYO8Mj50RFv7Jz+dzJSURPS6uCtSLG4pl3HT554L4kSj31Wo6y0WLw+it1rzdfp8\neysIL81qLfXDV/rQuBi5SMRd9X6HugoBIQBAM7WqhHc/OoyiHm9W6WQY3i6sBBCCBBMIG80o\nwxAsPvGbttZC044Kg1u4XS6EEIqQ5ng5DgaClnwhiBON/qes3H8HHxIXM8Y/PcyRYvHgWF74\n9wNWIwQAaJ7UJvPWSt5cuRHKuOaVToaBgBDAbSf4Ewi7RUaGudAZJUg0qjVbztqb7wTu0pgt\nmyt4l+O74mOz+EvqgYuEiUaDNSC8pjfsq9ZwtwyLj52dkfZQYsLtMdGt5DJvOvfEFPXBLW28\nrqNDgsUnCnT6i8H6PgMAgBPrVGV6fjqZac0zf4EbQ0YBgHGcv+aEi1np+0VHCyZoHdbWdlVE\n+rRqoWhjWblg6CDSyXhM0EOYr9OZadqV+x1NbGN5hWChiYWtM3txzkSakDKjsdhgLDYYrxkM\nJQZjkcF43WAoMRqv6w3Ol6l4Ji25S2SEkwJeGqmM/+ely9wtO6uq27kwygAAAIKHbTqZlnLZ\n3fHNMj0EAsKQYKHparNZKZEE3c+6ZqjKZL6icy+jDEMpCesQEc7tcjmk0T6ZitDFW4J0MslS\n6Wikk/GUICA0WukCnb598MUq/1Hxxot2jAjvxT8NKUKSpdJkqbRHFLFVZTIXG43X9IYSo7HI\nYLiuN5QYjdcNRjNNj1HGL2jd0q+Vz5TLukRGcBOi7lBXzUr3fQIbAADwn9wajWBixdTkJOeL\nkAUtBIQ3vx3qqv+7WFBiMLYND/+6U/tsdEl554T7GWVY/WOiuQHhYSxP77Wj2tpT/HQyk5OR\nTsZzgiGjhJDzDbpgCwiP1dad538HT3JzKb94SVi8JMyv3YDOjVDGcwPCAzVajdkS49p6iQAA\nEAwE96PDKOrxlOaavwBzCG9yHxeXjj1zvsRgJIRc0ukePHvBijwm3rHNKNPR5Z/LA2J4eWUu\n6/SlRqOjwuAKwWgNESHTmu3lOBgkSiXxEt6NwiBMNCroHhQR8nBSi0BVxjMj+dMITTS9q7o6\nUJUBAAB3qU3m7/j5C+5VxqU3w3QyDASENy0rTV4ouPrspcvcVJaXdLpjteiV8spxjzLKMAZE\nC4evHdbg4/Cc1mz5ir8S3dC42DZIJ+MdQSfh+SDLd2K00oIPfXBcTIZMFqj6eKZvdJSSH3jv\nVCMgBABoNr5Qldukk2nG96MREN6cdFbrg3+d//f1YtuHkOLcS55llGG0jQhvIZFwt2A1Qm9s\nLK8QppPBnEyvCaYRBltA+FNVdaXJxN3yaJJ740WDgZii7onndRL+qK7G8A0AgGaBJmR1KW+9\nqwyZTHBVb14QEN6EKk2mO0+d2cLvyGb9UImA0HPVZg8zyjAoQvrxF5/ANEJvrOGPF02SSvy0\ndlxIsQkIg2vIqGD5wUixeHwLZaAq440RSl5brTCZjmL4BgBAc3CgRiu4Wzo1pbmmk2EgILzZ\n5Ov0/U786WQg4pn6hsv8kAZcd7xWmFHmNjeT9AiWp/+jrs55Bnxw5HyDTjCfc3JyEtLJeE8w\nZFRjtjCTkINBlcksGFo5LkGpEDfLXCzD42MFo813YvgGAEBzsIrfPSimqKnNebwo8UlAWFtb\n++mnn86YMWPBggXnz5/3/oDgscOa2n4n/sxvLN7DqFGPCZakDxeJbnUzUeEAfg+h0Uof09Y5\nKgxOfFleIdjyuJupJsGuDjZJkoInr8zXFZUG/g2UR5ObWToZVlxYmCDLFKYRAgAEP7XJ/C1/\nFN498c04nQzDjYDwl19+6d69+5gxY7gbVSpV9+7dn3766Q8//PDVV1/t2rXrF1984etKgku2\nVKjvPHVGMLuGEJITE902nPcLD6NGPSaYQNhN4UZGGUaPKIVMxDvvDmkxjdATm8p4AWHPKAWW\n9vaJVnKZnN9Eg2caoSC/aJpMOiQ2JlCV8Z4g1+ipuvoi/3TGWmi61Gg005ikCADgrfVlwnQy\n01Obd/cgcSsg3LZt26lTp7Kzs7kbn3/++cuXLxNCoqOjxWKxyWSaPn16fn6+j6sJjXnvesmD\nZ8/bDj58KDHhl26dBHNsDmi01WZzE9bu5iEYo+jWBEKGXCTqEcUbZYpEox44qq0V9IT/o7kt\nPBC0xBTVLijzylxs0B3hz7l9JCmxWc/ZEEwjpAnZ4YfhG0e1tW2Pnkg9fKzlb3k/V6ETEgDA\nK6tKeONF02XSe5tzOhmGGwHhoUOHCCGDBg1it1RUVHzzzTeEkMWLF2s0Gqa30Gg0fvLJJ76u\nJzhkoelnL12eXXDFdiLac+kpGzu2l4lEo/mZNsw0/SPGJrmv2mwWTL/s6X5ASAjpz59GeEij\nRXZBd23ijxcVETKhRUKgKnPzCc5Eo+vLhIOEH2nmdwE6RoTfwl8lxeejRk/XN9zz519X9HpC\nSKnROPr0ue8c5BsDAIBG5dZoz91c6WQYYY0X+Vt5eTkhJDMzk93y888/m83mtLS0l156iRCS\nkJDwxhtvjBkzZu/evT6vaBMwm81qdXB9U9I0TQhxUqsGq3X69ZKfbSahhVHU26lJj8XFVFep\nCSG30KRFmLjCfCNB/5ZS1d1hSCnknty6ekHg1sZs8qDNdOW/8dVm89HS0nYORp/TNK3TBcXP\n8eBhoemvVLzY4HZFhLyuVn3TTcZs9ArgJ5n8r7azdXUBvzbShPyHP4m/W7g8Ra9T65v32TEk\nMpzb172nurq4slL+928LmqYpitLrPUwDdtVouregkDsexETTD/11YUVGyhj+9EUITswVoKoK\nszxCmsFgCHQV4IaPr5dw/xVT1Di51E9fkcwVoLraBzcKTTYTygTcCAiZV5uUdGOY7MGDBwkh\n9957r+jvCSc9e/YkhDCDSJudsLAwpTK40pczXwPx8fYz6auMxvGnzx2rFf4KjhSLv7q13Uj+\nYKTRLaq5Ofp319Yr4uIEk9nAuYv1vJ+e4SJR/7RUd+cQEkLuiY6mCou5seVZStTPXtvT6/VW\nqzUiwr28NTe9XVU15fwxz4/9P3tnHthUlf3xm71J2ixNuu/7XtrKZkEFxBUQRRFxRGVmRAdc\nEGfGGVFHRB2dnyOKKI6MoriDigIiIoICZRUK3em+70mztNlf3u+PjCXvJl3SZs/5/NXcvCS3\nWd67555zvt+YaG/78ToFhUJBEIT7/7VCwox6Lpu/dxlNLKFIwPSkmOfPCmWrgXI9+71ffOh3\n0Bnv9l++2GvN5AUaY8FvvYV6vd5kMvH5jkkZW+g1GO++UN5r0x1gJMlVbV0sPt8X/RsDDaVS\naTQaQ0NDab6ffwAmgNFo1Ov1wcETqUUCXIHCZPquqtZ65KZQcX6kqwyQVSqVwWAQi8X0SS/X\nxwwIHXgBy2xUVgIYliLS2bNnD4+IxWKE0IS3M4HxU63RFp8vt40GoznsY4V5WDSIELqFOjJI\nEL8oQMvEMc4PUiRGJ6AoY0HKYqVSZX7Ant4hMH3RIDp9iW860XktWTZ7EB6vGsXqRVk02l3h\n/lAkfLVQEEK1zXCK+YTCZLq+rLJ2hE+NIMmVNfUfUR0dAQAAgNH5sLtXQ1A6tB7wcbeJYRwI\nCGNiYhBCFy5csNxsaWmprKxECM2aNWv4GIVCgRAKC/Ptvg7v54RSfXVpeZNN4J3D550ozC+0\n54x3XaiIx6B83GA+4Si/TlpRZphisKefKDqzeXc/pTZjgUQsYjpQ7ACMSQaPi10bPGtPrzWb\nv+rrtx65SSIOZ7M8NR8nwqHTrwsVWY/skw1MsqdYazYvrqi+SN3AwiBI8r7quq1UaQQAAABg\nFLZZldohi5yMxOflZCw4EBBaMoEbNmywVDGtX78eIZSSkpKSkjJ8TEVFBUIoKirK2fMELvNp\nT988e/YS14qFJYX5CUEcu4/i0unzxZRlx16ZHKRMxo/CZGqiKso4aklvDeY/VqfR9o2VzQcs\n7JXJlVbdsAih5eGwA+VkuHR6QhBF7MSzGcJv+mXYh+7rcjLWLKDK07Xp9WWjxnKjYyLJZZWX\njtoUgCwLl2J7giRCD9c2vAsxIQAAwDg4rlRVDlH2Rn8fFTGxSjEvxIGA8OGHH6bRaKdOnQoL\nCxOLxZ988glCaM2aNdbHHDx4ECFUVFTk3FkCw7zR3rmiulZvYy9xb2T4/rwc4ahNPljVaKtO\nf2ESy45A45x6EIufpwlC7B86DoqpjyXBfGLcfNpDyRQJmAy/2Z/zKrxKaHQHVUNIyGTYVsX7\nLgslodiVeMJaoyRCD9Y27LWp/rg3Mvyz7IwD+TlYeaoZoYdqGza3d03s5QAAAAKHdzsp6UE6\nQr+P9JN6UeRQQDh16tQtW7awWCyTyaRWqxFCy5cvf+SRR4YPIAhi586dCKF58+Y5faIAQZKr\naxvW1tuxl3gyPvaDzDQ2fYxdikU2yw5wqB8/59SU4DmITs+chA16Np8XyqJUOZ4Ae/pxMGAy\nfU81UrsjTMoFbSQXgH29qz1XMtpjMB4aUFiPLA8P86cPPZzNwurPv5uoquRfG5rfp1Y0IYRu\nkYa+l5FKQ+gqoeD7/GxMHIhEaG194+vtnQgAAAAYAYXJ9FU/3rkwUlGeL+JY483q1asXLVp0\n6NAhk8lUUFAwbdo063tbW1uXLl2KEJo/f74z5wggNEgQd1Vdst02ZtJob6Ulr4oel8BROJs1\nQxBy0qpdbY9M/o/EOGdO1H85N0hpICwI5rMmUSdAQ2imIMTaDbIEMoTj4Ms+GZYev9svlEW8\nECwgbNDqjCQ5me/8hPmop9dEUtLz/iePuUASaq0Qdkqp7jUYHW2SfLm1/dW2Dmxwjkj4RXbG\ncFHTLKHgpym511+stPaiIBF6vL5piDCvT4id6H8AAADgz9iTk3GVuKhHcFiJIS4ubuXKlXbv\nSkpKevXVVyc9JQCnU29YUF5lW94pZDK+zMnEOgNH5xZpqHVAWKoebNPr4zj+s8PhOs5TFWWK\nJqEoY2GWQGAdEP6qHtSbzWAEMjqfUaUmo9jsOSKhpybj32TxKUKjRpKs1+qyJpEVnzCYvmgq\nN+hK4cSrtb2ThRLxc82twzfNCB2QD9wb6UDc+15Xz1ONLdhgUUjwt7lZQdSzytSQ4AP5OTeU\nVSqojhRPN7XQaejv8RATAoEIQZJ7ZPJmnX6+WJTHB6snAAeTk4nhsBf4V7sKrD69nSqdfub5\nMttoMI7DOVaY71A0iGzaCEmE9kLV6DhQmEwNVEWZKyahKGMBExrVm81YVSqA0aE3/KJQWo8s\nC5cy/KWf29uwjf08IjR6cXAIU1hZERHufx95UUhwNIdtPfKd3IE2wt39sgdrG7Am5zQu9/s8\nvEDUwnRB8KEpOVjVOkLoqcaW55vbxv+6AOAfkAgtqaxZUlGzrr6p6NcLH3SDIwtAocRWTibS\nf+RkLEBA6NUcHRxa0NDcptdj43l8XklR3gQ2sbL5vHTqOg/MJ8aDraLM1ElnCGcIQrC2zxJo\nIxyVz3r7sAba3/mR1KS3IWWxpCxKyaJHdGV2UL3yaP6lLzoMzUZr9IB8wEiOSwf6Z4Xy7qpa\ngnpwNId9cErOKEWnV4QE/zQlN4yFH/CP5ta/2WQaAcC/2dHdOyypYCLJP16q/7JPNvpDgIDi\n3S5cTuYP/mI/OIzDJaNGo/HgwYNnzpzp7u7WaDTkCFesjz/+eNJzC3Q+7em7v6nNdk1wY6h4\nZ04GJhY3fhZKxK9ZLex+VqhUJsLuLjIwDGZJH0SnZ026pIRLp0/h860bh04o1Qg6Okfms15K\nP3c6jzv5sBwYhUwe97jyshtK9ZC7A0ITSWKisrOFgmRu0EjH+zQLJKHWJUkqE3FcqSoe658t\nHRxaXFGtozbWipnMH/JzEsdSOygI5v9UkDv/YkWvgeJ580prO0Lo5eQEx/4BAPBNBglifRNl\nE4QgyRXVtVJWNrQkAAihAZNpF3X5cUOoX8nJWHAsIDx06NDKlSvb29vHPBICwsmTyuUyachI\njQcfiIp4Oz1lMnnqWyShr7VdFpTTm80/DAwsDQNljtE4R20gnDI5RZlhZgkFlIBQpSIR8qsS\nBOdRo9FibZzLQU7GxWTxuMeVl7PW7i8Z/XFA0W0wWI+scKStzreYLxYG0enWod0+mbw4NnqU\nh9RptTeWVaqoDo08Bn1fXnbu+Has8vi8I1Nyr71Yib3Pr7S2G0nzv1OSHPkPAMAneaW1o0Nv\nwAZ1ZvPiiuojU3InrxcA+Dof9/RpqZtuq6L9LT2IHAoIS0tLFy5cqNfrEULBwcGpqal8/mTb\nqIBRmC4Ifj8+9p6WdkstEA2hZxPjnkuMn+TTzhYKpCyWta/9nn45BISj8ys1FLnCSVeIYmHI\n61a7K70GY71Wm8b1gG6H9/MpVVkEIXQ3+NG7mAwbK0I3b1jsoHbyBNHpS8Mkbnx9t8JnMOaI\nhAesWge/kw28NHJA2Kk33HCxCkvusWi0XdmZxY6I7mTzeb8U5M67WIGtiV9r69QQ5rfTU2CL\nCvBj2vT619pxbV4LKhNxY1nVscK8DE+IaQHew3vUetFINnuBHxnhDuNAQPjiiy/q9Xo+n//O\nO+8sW7aMZdN7ADid6wXB/4qOeKKjm02nvZ+R5pSOKQaNdrNEbL3S2i8fMJGkn3XHOhGliWh0\ntqKMhVkCATZSolRDQGiXz6kFG9NCgtPhIu1isniULJOaIDr1hhiq9onrUJkIrMP5VmmoiOlw\nm4MPsUAitg4IL2m09Tpdor1/WWkiFpRXNeko5yUaQu9mpN7suPBdOo97vDB/3oUK7Anf6ewm\nSPKd9NSxPG4BwFd5or4Z8xKwps9ovO5iZUlRHoixBywnlOqL1KahP0ZFeMSBydU4ICpz9OhR\nhNArr7xyzz33QDToNu6XiJ9NjDuYn+NE/YxF1L0NudFkXRgGYJwfxBVlnFVDEs1hY30+J+CD\nsMdplbpOS2lgW+6PyiLeRhYfD7ndaU+/q68fW6jd43f2gxgLbXadvx9Q2h6mIcw3l1faSk+/\nnpp8/0RLahODOIem5Nh2xWzr6nmott48LnUbAPAxjilVX/ZRthpDWUxsWdym199cVjVA9WgB\nAodtXd3WN/1STsaCAwGhUqlECN14440umwxgnw2J8dc4tbP5xlAR5ky1B8wnRgarFw2i03Oc\nZ1I0S0hJEpaowJ7eDp/2UupF6QjdCUXOrieBE8RjUE4U7hQaxfRFw9msG0Idc9nxORKDONi5\nxTYgNJLk0qqaE0r8RPFMQtyjsVGTefVkbtDRgrwUGxmbbV09K2pqTeOTPAUAX8FMonX1TdjX\n+p30lDfTkrEjK4Y0N5VVDREEAgIMpYnY2YfLyYyp1+WjOBAQRkZGIoRo/pgnDTSCGYy51Ajz\nWzCfGBkXKcpYKBZQun2qhzRyI+xEUiBIcmcvRQF8nljktsLFQIZOQ1gBs9sCwhad/piCki2/\nJyIsEMrasSThMZVaZZUmJRFadal+vwy3KHwwOvL5pMm2lyOE4oM4RwpybavWP+3pu6caYkLA\nr9je3YPt9hYLQ+4Ik66OiXo6Adf7Pq1S31pRY4BceYCxo6cXK1R5wB/lZCw4EBDecMMNCKHT\np0+7bDKA+1gkpSw7GrU6zHMTGOacaxRlLGAZQhKhk5AkpHJoQIlJIN4N9aLuIpPaqOm2ktEP\nu3uxldcKf68XtbCA2gFoJMnDVieEPzc02Vpm3yqVvGWT05gwcRzO0cJc2yKIL3r7766qHac1\nIgB4OWqCeKap1XqEjtDrqcmWPaeNSfG2+fZDA4qVl+ogJAwo3reRk7Et7PcbHAgIn3zySYFA\n8OKLLw4N4a0LgM+xWBKKbbZ/C1Wj9lCaiAbXKMpYyOPzhVQTyBNgT08FqxcNotNvk/rtGdnb\nyLQRGnXP62Ifeg6fV+DU353XUiwIkbAoKjIHFP+rGn2hpc3aMciQ0mUYAAAgAElEQVTCPLHw\n8+x0hlNzp5Fs9k9Tcm2NK3b19S+pqNGbR1TgAABf4cWW9i7qPuP9URHTrHZ7N6Uk32njbPRp\nT98j9Y3umB/gBZxUqbFW7T9EhfulnIwFBwLClJSU3bt3d3Z2Xn311b/88osZrgq+TDSHjWW6\n9kLVqD1sFWWcmyGk09AMatVoiU13UCCjM5u/7afUiy6QiP1batKrwIRGO/UGhevFFU4o1Zeo\nkeeEtVJ8DgaNdmMoJUl4QKEyk+g/nd1YQgMhNC0k+JvcLA7dgev4OIlgs36akptvE4Tvk8lv\nr6zRwdUf8GUatbo32il7KyEMxgvUoms6DX2UmW7bt/x2R9eLLWN7cQN+wLZOipwMDaGVkX5b\nL4ocsp3Izc1FCLFYrPPnz8+ZM0cgEERFRTFHWJlVVFQ4Z4KAy7hFGmpdQH9Gpe42GCLZ0JpF\n4ZyNoky28xRlLMwSCA7KFcM3z6rVRpL0410oh9grkyupvtvLwX7QjWTZeHtc0mixLQyn8xFV\nToZBowWU5+QCifgTK9fNfpPp703N/7bJDWbwuN/lZ4cwGMg1hLNZP03Jue4iLmf6nWxgaeWl\nL3MyXBGIAoAb+EtjM7ap8VRCbJTN4odNp+3Kybz2QsVZ6jLg6aYWKYv5YHSkyycKeA6lifiC\nKidzfajIVnPLn3AgIKysrLS+qVKpVFDb5svcIgl91mrL2YzQPtnAH/1UTnfCnFdTFkN5fJ7T\nQzXMRVpDmEvVQ9MFzsxD+i6f9lDOyCImc4HjNmvAhEnncRk0GmHVOVbt4oBQbzZ/QfWcnC8W\nRgeShtANYjGTRrNWcPlXK26cHcthH8zPCXOx/5OUxfppSu71ZZXYvtg+mfy2ipo9eVmBIPMD\n+Bk/K5Rf91GqTpK5QWtjo+0eHMJg7M/Pvqq0HKuWX1PXKGGx7giTuHCigEf52EZOZlWUn28B\nOBAQrlmzxnXzANzPlGB+QhCnRacfHtnTL4eAEOPcoAsVZSzMEIRga+4TKhUEhAihAZPpezlF\nUHFJmCQI8hJuJIhOTwziWLfRurqNcJ9sALP8ChA5mWFCWcxiYchRxYj7rRIW84f8nHi3SJ+H\nspiHpuTcUFZ5RkU5E34vH9je3fsAXC8An4IgybX1Tdjg/yUnjnJZkbJYP+TnzCota9df7jk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X7MnLGo9AaOWQ5h2qXKSExfxHQvw45zB5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\ntd+z0rEAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 600
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p <- search_widget_sessions_non_pilotwikis %>%\n",
    "    mutate(search_type = ifelse(search_type == 'NULL', \"old search\", \"new search\")) %>%\n",
    "# review search sessions initiated that meet AB bucketing criteria\n",
    "    filter(\n",
    "         event_dt < '2021-03-15' , #remove date with incomplete data\n",
    "        search_location %in% c('header-moved', 'header-navigation'),\n",
    "         is_anonymous == 'false',\n",
    "          source_type == 'autocomplete',\n",
    "          action_type == 'searchResultPage') %>%\n",
    "    group_by(event_dt, search_type) %>%\n",
    "    summarise(num_events = sum(events),\n",
    "             num_sessions = n_distinct(search_session))  %>%\n",
    "  ggplot(aes(x=event_dt, y = num_sessions, color = search_type)) +\n",
    "    geom_line(size = 1.5) +\n",
    "    labs(y = \"number of unique search sessions per day\",\n",
    "          x = \"Date\",\n",
    "         title = \"Daily Non-AB Test Search Sessions Initiated by Search Type\")  +\n",
    "     theme_bw() +\n",
    "    theme(\n",
    "        plot.title = element_text(hjust = 0.5),\n",
    "        text = element_text(size=16),\n",
    "        legend.position=\"bottom\",\n",
    "        axis.text.x = element_text(angle=45, hjust=1)) \n",
    "\n",
    "p\n",
    "\n",
    "ggsave(\"Figures/daily_search_sessions_by_type_nonAB.png\", p, width = 16, height = 8, units = \"in\", dpi = 300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We're not seeing any new widget sessions for logged in users opt'd in on non pilot wikis after March 2nd. We record events from Feb 25th through March 2nd only. \n",
    "\n",
    "Update: Per discussions with the Web team, it was clarified that the new search widget was turned off to all non-pilot wikis following start of the AB test to not interfere with the AB test results.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Click Position\n",
    "\n",
    "I identified an issue where clicks to the search button were not instrumented for the new search widget. A fix was deployed around 13 May 2021 to address."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "query <- \n",
    "\n",
    "\"WITH searches AS (\n",
    "-- all search sessions\n",
    "SELECT\n",
    "    MIN(TO_DATE(dt)) as session_start_date,\n",
    "    event.searchSessionId,\n",
    "    event.extraParams,\n",
    "    min(event.usereditbucket) as edit_count,\n",
    "    event.isAnon,\n",
    "    event.skinVersion,\n",
    "    event.inputLocation,\n",
    "    wiki,\n",
    "    CASE\n",
    "        WHEN event.hitsReturned > 0 THEN 'TRUE'\n",
    "        WHEN event.hitsReturned = 0 THEN 'FALSE'\n",
    "        ELSE NULL\n",
    "        END AS results_returned\n",
    "FROM event.searchSatisfaction\n",
    "WHERE year = 2021\n",
    "   -- Review following bug fix on March 10 and prior to regression on March 17th\n",
    "    AND MONTH >= 05\n",
    "    AND event.action = 'searchResultPage'\n",
    "    AND event.source = 'autocomplete'\n",
    "    -- review test wikis\n",
    "    AND wiki IN ('frwiktionary', 'hewiki', 'ptwikiversity', 'frwiki', \n",
    "    'euwiki', 'fawiki', 'ptwiki', 'kowiki', 'trwiki', 'srwiki', 'bnwiki', 'dewikivoyage', 'vecwiki' )\n",
    "    -- deployed on vector skin\n",
    "    AND event.skin = 'vector'\n",
    "-- remove bots\n",
    "    AND useragent.is_bot = false \n",
    "    AND event.subTest is NULL\n",
    "GROUP BY\n",
    "    event.searchSessionId, \n",
    "    event.extraParams,\n",
    "    event.isAnon,\n",
    "    event.skinVersion,\n",
    "    event.inputLocation,\n",
    "    wiki,\n",
    "    CASE\n",
    "        WHEN event.hitsReturned > 0 THEN 'TRUE'\n",
    "        WHEN event.hitsReturned = 0 THEN 'FALSE'\n",
    "        ELSE NULL\n",
    "        END\n",
    "-- filter out sessions with over 50 searches\n",
    "HAVING SUM(1) < 50\n",
    "),\n",
    "\n",
    "clicks AS (\n",
    "-- all search sessions where a click event was recorded\n",
    "SELECT\n",
    "    event.searchSessionId,\n",
    "    event.position,\n",
    "    wiki\n",
    "FROM event.searchSatisfaction\n",
    "WHERE\n",
    "    year = 2021\n",
    "   -- Review following bug fix on March 10 and prior to regression on March 17th\n",
    "    AND MONTH >= 05\n",
    "    AND event.action = 'click'\n",
    "    AND event.source = 'autocomplete'\n",
    "    -- review test wikis\n",
    "    AND wiki IN ('frwiktionary', 'hewiki', 'ptwikiversity', 'frwiki', \n",
    "    'euwiki', 'fawiki', 'ptwiki', 'kowiki', 'trwiki', 'srwiki', 'bnwiki', 'dewikivoyage', 'vecwiki' )\n",
    "    -- deployed on on the new vector skin\n",
    "    AND event.skin = 'vector'\n",
    "-- remove bots\n",
    "    AND useragent.is_bot = false \n",
    "    AND event.subTest is NULL\n",
    ")\n",
    "\n",
    "-- Main query\n",
    "SELECT\n",
    "    searches.wiki AS wiki,\n",
    "    searches.session_start_date,\n",
    "    searches.searchSessionId AS search_session,\n",
    "    searches.extraParams AS search_type,\n",
    "    searches.edit_count,\n",
    "    searches.isAnon AS is_anonymous,\n",
    "    searches.skinVersion AS vector_version,\n",
    "    searches.inputLocation As search_location,\n",
    "    searches.results_returned,\n",
    "    IF(clicks.searchSessionId IS NOT NULL, 1, 0) AS clicked_through,\n",
    "    coalesce(clicks.position, -2) AS position\n",
    "FROM searches\n",
    "LEFT JOIN clicks\n",
    "ON searches.searchSessionId = clicks.searchSessionId AND\n",
    "    searches.wiki = clicks.wiki \n",
    " \"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Don't forget to authenticate with Kerberos using kinit\n",
      "\n"
     ]
    }
   ],
   "source": [
    "search_sessions_completed <-  wmfdata::query_hive(query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set edit count factor levels\n",
    "search_sessions_completed$edit_count <- factor(search_sessions_completed$edit_count , \n",
    "                                                        levels = c(\"NULL\", \"0 edits\", \"1-4 edits\", \"5-99 edits\", \"100-999 edits\",\n",
    "                                                                  \"1000+ edits\"))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# set search type factor levels\n",
    "search_sessions_completed$search_type <- factor(search_sessions_completed$search_type , \n",
    "                                                        levels = c(\"NULL\", \"WVUI\"),\n",
    "                                                         labels = c(\"old_search_widget\", \"new_search_widget\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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DwfDll1/u2LGj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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 600,
       "width": 900
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "p <- search_sessions_completed %>%\n",
    "    filter(clicked_through == 1)  %>% # only successful searches\n",
    "    group_by(position, search_type)  %>%\n",
    "    summarize(num_sessions = n_distinct(search_session), .groups = 'drop') %>%\n",
    "    ggplot(aes(x= position, y = num_sessions, fill = search_type)) +\n",
    "    geom_col(position = 'dodge') +\n",
    "    geom_text(aes(label = paste(num_sessions)), position = position_dodge(width = 1), color = \"black\", vjust=-1.5, size = 5) +\n",
    "    scale_x_continuous(breaks = seq(-1, 10, by = 1)) +\n",
    "    labs (y = \"Number of search sessions\",\n",
    "              x =\"Position of the search result click\",\n",
    "             title = \"Number of search sessions completed by search result position\",\n",
    "             caption = \"Reflects wikis included in the AB Test\")  +\n",
    "        theme_bw() +\n",
    "        scale_fill_manual(values= c(\"#999999\", \"#000099\"), name = \"Search widget type\", labels = c(\"Old search widget\", \"New search widget\"))  +\n",
    "         theme(\n",
    "            panel.grid.major = element_blank(), \n",
    "            panel.grid.minor = element_blank(),\n",
    "            panel.background = element_blank(),\n",
    "            strip.background =element_rect(fill=\"white\"),\n",
    "            plot.title = element_text(hjust = 0.5),\n",
    "            text = element_text(size=16),\n",
    "            legend.position = \"bottom\")\n",
    "    \n",
    "  \n",
    "p\n",
    "  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A tibble: 4 × 4</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>position</th><th scope=col>search_type</th><th scope=col>is_anonymous</th><th scope=col>num_sessions</th></tr>\n",
       "\t<tr><th scope=col>&lt;int&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>-1</td><td>NULL</td><td>false</td><td>  36198</td></tr>\n",
       "\t<tr><td>-1</td><td>NULL</td><td>true </td><td>   9548</td></tr>\n",
       "\t<tr><td>-1</td><td>WVUI</td><td>false</td><td>  52006</td></tr>\n",
       "\t<tr><td>-1</td><td>WVUI</td><td>true </td><td>2007149</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 4 × 4\n",
       "\\begin{tabular}{llll}\n",
       " position & search\\_type & is\\_anonymous & num\\_sessions\\\\\n",
       " <int> & <chr> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\t -1 & NULL & false &   36198\\\\\n",
       "\t -1 & NULL & true  &    9548\\\\\n",
       "\t -1 & WVUI & false &   52006\\\\\n",
       "\t -1 & WVUI & true  & 2007149\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 4 × 4\n",
       "\n",
       "| position &lt;int&gt; | search_type &lt;chr&gt; | is_anonymous &lt;chr&gt; | num_sessions &lt;int&gt; |\n",
       "|---|---|---|---|\n",
       "| -1 | NULL | false |   36198 |\n",
       "| -1 | NULL | true  |    9548 |\n",
       "| -1 | WVUI | false |   52006 |\n",
       "| -1 | WVUI | true  | 2007149 |\n",
       "\n"
      ],
      "text/plain": [
       "  position search_type is_anonymous num_sessions\n",
       "1 -1       NULL        false          36198     \n",
       "2 -1       NULL        true            9548     \n",
       "3 -1       WVUI        false          52006     \n",
       "4 -1       WVUI        true         2007149     "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "search_clicks_loggedin_status <- search_sessions_completed %>%\n",
    "    filter(clicked_through == 1, position == -1)  %>% # only successful searches\n",
    "    group_by(position, search_type, is_anonymous)  %>%\n",
    "    summarize(num_sessions = n_distinct(search_session), .groups = 'drop')\n",
    "    \n",
    "  \n",
    "search_clicks_loggedin_status\n",
    "  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "options(repr.plot.width = 15, repr.plot.height = 10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Confirmed we are now recording clicks to the search icon (`event.position = -1`) for the new search widget. The total clicks recorded to date for logged-in and logged-out users look correct on the old and new search widget appear correct. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A tibble: 7 × 4</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>search_type</th><th scope=col>vector_version</th><th scope=col>search_location</th><th scope=col>num_sessions</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>NULL</td><td>latest</td><td>content          </td><td>   7801</td></tr>\n",
       "\t<tr><td>NULL</td><td>latest</td><td>header-moved     </td><td>   2425</td></tr>\n",
       "\t<tr><td>NULL</td><td>legacy</td><td>content          </td><td>   1330</td></tr>\n",
       "\t<tr><td>NULL</td><td>legacy</td><td>header           </td><td>     15</td></tr>\n",
       "\t<tr><td>NULL</td><td>legacy</td><td>header-navigation</td><td>  35868</td></tr>\n",
       "\t<tr><td>WVUI</td><td>latest</td><td>content          </td><td>  55497</td></tr>\n",
       "\t<tr><td>WVUI</td><td>latest</td><td>header-moved     </td><td>2056125</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 7 × 4\n",
       "\\begin{tabular}{llll}\n",
       " search\\_type & vector\\_version & search\\_location & num\\_sessions\\\\\n",
       " <chr> & <chr> & <chr> & <int>\\\\\n",
       "\\hline\n",
       "\t NULL & latest & content           &    7801\\\\\n",
       "\t NULL & latest & header-moved      &    2425\\\\\n",
       "\t NULL & legacy & content           &    1330\\\\\n",
       "\t NULL & legacy & header            &      15\\\\\n",
       "\t NULL & legacy & header-navigation &   35868\\\\\n",
       "\t WVUI & latest & content           &   55497\\\\\n",
       "\t WVUI & latest & header-moved      & 2056125\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 7 × 4\n",
       "\n",
       "| search_type &lt;chr&gt; | vector_version &lt;chr&gt; | search_location &lt;chr&gt; | num_sessions &lt;int&gt; |\n",
       "|---|---|---|---|\n",
       "| NULL | latest | content           |    7801 |\n",
       "| NULL | latest | header-moved      |    2425 |\n",
       "| NULL | legacy | content           |    1330 |\n",
       "| NULL | legacy | header            |      15 |\n",
       "| NULL | legacy | header-navigation |   35868 |\n",
       "| WVUI | latest | content           |   55497 |\n",
       "| WVUI | latest | header-moved      | 2056125 |\n",
       "\n"
      ],
      "text/plain": [
       "  search_type vector_version search_location   num_sessions\n",
       "1 NULL        latest         content              7801     \n",
       "2 NULL        latest         header-moved         2425     \n",
       "3 NULL        legacy         content              1330     \n",
       "4 NULL        legacy         header                 15     \n",
       "5 NULL        legacy         header-navigation   35868     \n",
       "6 WVUI        latest         content             55497     \n",
       "7 WVUI        latest         header-moved      2056125     "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "search_clicks_loggedin_status <- search_sessions_completed %>%\n",
    "    filter(clicked_through == 1, position == -1)  %>% # only successful searches\n",
    "    group_by(search_type, vector_version, search_location)  %>%\n",
    "    summarize(num_sessions = n_distinct(search_session), .groups = 'drop')\n",
    "    \n",
    "  \n",
    "search_clicks_loggedin_status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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