import_data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Setup - import library and load data from local file\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.colors as colors\n",
    "import matplotlib.ticker as ticker\n",
    "import matplotlib.patches as mpatches"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Respondent ID</th>\n",
       "      <th>Date Started</th>\n",
       "      <th>biological_education</th>\n",
       "      <th>bio_database_experience</th>\n",
       "      <th>Any biological software tools you'd like to add to the list? How often do you use it?</th>\n",
       "      <th>years_experience_bio</th>\n",
       "      <th>computer_education</th>\n",
       "      <th>computer_experience</th>\n",
       "      <th>programming_langs_free_text</th>\n",
       "      <th>What file types do you commonly use for biological data?</th>\n",
       "      <th>years_experience_computer</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>06/07/2019</td>\n",
       "      <td>highschool</td>\n",
       "      <td>galaxy = every_day;gnomad = never_heard;interm...</td>\n",
       "      <td></td>\n",
       "      <td>10</td>\n",
       "      <td>doctoral</td>\n",
       "      <td>r_lang = every_month;python = every_day;perl =...</td>\n",
       "      <td>C/C++</td>\n",
       "      <td>GFF;FASTA;BAM;CSV / TSV</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>06/07/2019</td>\n",
       "      <td>doctoral</td>\n",
       "      <td>galaxy = every_day;gnomad = never_heard;interm...</td>\n",
       "      <td>MaxQuant Every monthCardinal Everz weak</td>\n",
       "      <td>7</td>\n",
       "      <td>informal</td>\n",
       "      <td>r_lang = every_week;python = year_or_less;perl...</td>\n",
       "      <td></td>\n",
       "      <td>mzml and imzml;FASTA;CSV / TSV</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>09/07/2019</td>\n",
       "      <td>doctoral</td>\n",
       "      <td>galaxy = every_month;gnomad = never_heard;inte...</td>\n",
       "      <td>BLAST - every weekPUBCHEM - every month</td>\n",
       "      <td>17</td>\n",
       "      <td>informal</td>\n",
       "      <td>r_lang = year_or_less;python = every_month;per...</td>\n",
       "      <td>MongoDBC/C++</td>\n",
       "      <td>GFF;FASTA;VCF;BAM;CSV / TSV;Excel / Google She...</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>16/08/2019</td>\n",
       "      <td>masters</td>\n",
       "      <td>galaxy = heard_of;gnomad = never_heard;intermi...</td>\n",
       "      <td>Omim - every monthClinVar - every monthENA - e...</td>\n",
       "      <td>11</td>\n",
       "      <td>masters</td>\n",
       "      <td>r_lang = year_or_less;python = every_day;perl ...</td>\n",
       "      <td></td>\n",
       "      <td>FASTA;VCF;BAM;CSV / TSV;Excel / Google Sheets ...</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>21/08/2019</td>\n",
       "      <td>doctoral</td>\n",
       "      <td>galaxy = every_week;gnomad = heard_of;intermin...</td>\n",
       "      <td>Ensembl REST API, BLAST, PyANI, CyVerse (US/UK)</td>\n",
       "      <td>21</td>\n",
       "      <td>doctoral</td>\n",
       "      <td>r_lang = every_day;python = every_day;perl = e...</td>\n",
       "      <td>bash shell, GNU tools (awk, sed, curl, etc), jq</td>\n",
       "      <td>JSON, RDF;FASTA;VCF;BAM;CSV / TSV;Excel / Goog...</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Respondent ID Date Started biological_education  \\\n",
       "0              1   06/07/2019           highschool   \n",
       "1              2   06/07/2019             doctoral   \n",
       "2              3   09/07/2019             doctoral   \n",
       "3              4   16/08/2019              masters   \n",
       "4              5   21/08/2019             doctoral   \n",
       "\n",
       "                             bio_database_experience  \\\n",
       "0  galaxy = every_day;gnomad = never_heard;interm...   \n",
       "1  galaxy = every_day;gnomad = never_heard;interm...   \n",
       "2  galaxy = every_month;gnomad = never_heard;inte...   \n",
       "3  galaxy = heard_of;gnomad = never_heard;intermi...   \n",
       "4  galaxy = every_week;gnomad = heard_of;intermin...   \n",
       "\n",
       "  Any biological software tools you'd like to add to the list? How often do you use it?  \\\n",
       "0                                                                                         \n",
       "1            MaxQuant Every monthCardinal Everz weak                                      \n",
       "2            BLAST - every weekPUBCHEM - every month                                      \n",
       "3  Omim - every monthClinVar - every monthENA - e...                                      \n",
       "4    Ensembl REST API, BLAST, PyANI, CyVerse (US/UK)                                      \n",
       "\n",
       "   years_experience_bio computer_education  \\\n",
       "0                    10           doctoral   \n",
       "1                     7           informal   \n",
       "2                    17           informal   \n",
       "3                    11            masters   \n",
       "4                    21           doctoral   \n",
       "\n",
       "                                 computer_experience  \\\n",
       "0  r_lang = every_month;python = every_day;perl =...   \n",
       "1  r_lang = every_week;python = year_or_less;perl...   \n",
       "2  r_lang = year_or_less;python = every_month;per...   \n",
       "3  r_lang = year_or_less;python = every_day;perl ...   \n",
       "4  r_lang = every_day;python = every_day;perl = e...   \n",
       "\n",
       "                       programming_langs_free_text  \\\n",
       "0                                            C/C++   \n",
       "1                                                    \n",
       "2                                     MongoDBC/C++   \n",
       "3                                                    \n",
       "4  bash shell, GNU tools (awk, sed, curl, etc), jq   \n",
       "\n",
       "  What file types do you commonly use for biological data?   \\\n",
       "0                            GFF;FASTA;BAM;CSV / TSV          \n",
       "1                     mzml and imzml;FASTA;CSV / TSV          \n",
       "2  GFF;FASTA;VCF;BAM;CSV / TSV;Excel / Google She...          \n",
       "3  FASTA;VCF;BAM;CSV / TSV;Excel / Google Sheets ...          \n",
       "4  JSON, RDF;FASTA;VCF;BAM;CSV / TSV;Excel / Goog...          \n",
       "\n",
       "   years_experience_computer  \n",
       "0                         15  \n",
       "1                          2  \n",
       "2                         17  \n",
       "3                          9  \n",
       "4                         18  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We don't want fuzzy figures. Set to higher quality sharp images please\n",
    "plt.rcParams['figure.dpi'] = 150 # big enough to be good but not hog the screen, in-notebook\n",
    "plt.rcParams['savefig.dpi'] = 300 # for publication\n",
    "\n",
    "#This file was downloaded from the survey completed by participants on the Manchester Select Survey online survey tool. \n",
    "backgrounds = pd.read_csv(\"data/background_survey.csv\")\n",
    "\n",
    "#take a peek into the file\n",
    "backgrounds.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                               GFF;FASTA;BAM;CSV / TSV\n",
       "1                        mzml and imzml;FASTA;CSV / TSV\n",
       "2     GFF;FASTA;VCF;BAM;CSV / TSV;Excel / Google She...\n",
       "3     FASTA;VCF;BAM;CSV / TSV;Excel / Google Sheets ...\n",
       "4     JSON, RDF;FASTA;VCF;BAM;CSV / TSV;Excel / Goog...\n",
       "5     GFF;FASTA;VCF;BAM;CSV / TSV;Excel / Google She...\n",
       "6     Newick;GFF;FASTA;VCF;BAM;CSV / TSV;Excel / Goo...\n",
       "7                           GFF;FASTA;VCF;BAM;CSV / TSV\n",
       "8                                      Phylip;FASTA;PDB\n",
       "9     I have not actively done research in the last ...\n",
       "10    tab;FASTA;VCF;BAM;CSV / TSV;Excel / Google She...\n",
       "11    CRAM;FASTA;VCF;BAM;CSV / TSV;Excel / Google Sh...\n",
       "12    FASTQ, CRAM/CRAI, LOOM, MTX, HD5;GFF;FASTA;VCF...\n",
       "13    use/look at JSON & XML;FASTA;CSV / TSV;Excel /...\n",
       "14    FASTA;CSV / TSV;Excel / Google Sheets / other ...\n",
       "15                                     binary;CSV / TSV\n",
       "16    FASTA;VCF;BAM;CSV / TSV;Excel / Google Sheets ...\n",
       "17    FASTA;VCF;CSV / TSV;Excel / Google Sheets / ot...\n",
       "18    image files - tif;FASTA;CSV / TSV;Excel / Goog...\n",
       "19                                  GFF;FASTA;CSV / TSV\n",
       "20    any varioation of the above;GFF;FASTA;VCF;BAM;...\n",
       "21    GFF;FASTA;BAM;CSV / TSV;Excel / Google Sheets ...\n",
       "Name: bio_file_types, dtype: object"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#rename some badly named columns from the survey. Oopsie.\n",
    "\n",
    "columns_to_rename = {\n",
    "    \"Any biological software tools you'd like to add to the list? How often do you use it?\" : \"software_tools_freetext\",\n",
    "    \"years_experience\" : \"biology_years_experience\",\n",
    "    \"years_experience.1\" : \"computer_years_experience\",\n",
    "    \"What file types do you commonly use for biological data? \" : \"bio_file_types\",\n",
    "    \"biological_education.1\" : \"computer_education\"\n",
    "}\n",
    "\n",
    "backgrounds = backgrounds.rename(columns = columns_to_rename )\n",
    "\n",
    "backgrounds.bio_file_types"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Some columns in the sheet above have multi-choice answers aggregated to the same column. We need to split them out into separate so that we can query the data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#\"split a multi choice answer, returning a series with a column \n",
    "# header and the responses with the header stripped out.\"\n",
    "def split_multi_choice( a_series, series_prefix ):\n",
    "    # variable to store the final response in as we build it\n",
    "    response = list()\n",
    "    # Multi-choice answer sets are separated by ; in SelectSurvey\n",
    "    series_as_df = a_series.str.split(\";\",expand=True)\n",
    "    # extract the name of each column and throw it out, \n",
    "    # as it's recorded once per row, which is a bit excessive - \n",
    "    # we can just keep it as a column header instead\n",
    "    for i in series_as_df:\n",
    "        answer = series_as_df[i]\n",
    "        split_answer = pd.DataFrame(answer.str.split(\"=\",expand=True))\n",
    "        \n",
    "        series_name = series_prefix + \"_\" + split_answer[0][0] # the 0th value of this is the same for every column\n",
    "        series_content = split_answer[1]\n",
    "        \n",
    "        # add the split responses in to a single column\n",
    "        returnSeries = pd.Series(data=series_content, name=series_name)\n",
    "        \n",
    "        # glue the column into the object we'll be returning\n",
    "        response.append(returnSeries)\n",
    "    return pd.DataFrame(response).transpose()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# computationally split-out-able vars: \n",
    "bio_software = split_multi_choice(backgrounds.bio_database_experience, \"bio_software\")\n",
    "computer_experience = split_multi_choice(backgrounds.computer_experience, \"computer_experience\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Respondent ID</th>\n",
       "      <th>Date Started</th>\n",
       "      <th>biological_education</th>\n",
       "      <th>bio_database_experience</th>\n",
       "      <th>software_tools_freetext</th>\n",
       "      <th>years_experience_bio</th>\n",
       "      <th>computer_education</th>\n",
       "      <th>computer_experience</th>\n",
       "      <th>programming_langs_free_text</th>\n",
       "      <th>bio_file_types</th>\n",
       "      <th>...</th>\n",
       "      <th>computer_experience_python</th>\n",
       "      <th>computer_experience_perl</th>\n",
       "      <th>computer_experience_java</th>\n",
       "      <th>computer_experience_rdbm</th>\n",
       "      <th>computer_experience_functional_language</th>\n",
       "      <th>computer_experience_graph_db</th>\n",
       "      <th>computer_experience_semantic</th>\n",
       "      <th>computer_experience_html</th>\n",
       "      <th>computer_experience_js</th>\n",
       "      <th>computer_experience_git</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>06/07/2019</td>\n",
       "      <td>highschool</td>\n",
       "      <td>galaxy = every_day;gnomad = never_heard;interm...</td>\n",
       "      <td></td>\n",
       "      <td>10</td>\n",
       "      <td>doctoral</td>\n",
       "      <td>r_lang = every_month;python = every_day;perl =...</td>\n",
       "      <td>C/C++</td>\n",
       "      <td>GFF;FASTA;BAM;CSV / TSV</td>\n",
       "      <td>...</td>\n",
       "      <td>every_day</td>\n",
       "      <td>year_or_less</td>\n",
       "      <td>year_or_less</td>\n",
       "      <td>year_or_less</td>\n",
       "      <td>heard_of</td>\n",
       "      <td>heard_of</td>\n",
       "      <td>heard_of</td>\n",
       "      <td>year_or_less</td>\n",
       "      <td>year_or_less</td>\n",
       "      <td>every_week</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>06/07/2019</td>\n",
       "      <td>doctoral</td>\n",
       "      <td>galaxy = every_day;gnomad = never_heard;interm...</td>\n",
       "      <td>MaxQuant Every monthCardinal Everz weak</td>\n",
       "      <td>7</td>\n",
       "      <td>informal</td>\n",
       "      <td>r_lang = every_week;python = year_or_less;perl...</td>\n",
       "      <td></td>\n",
       "      <td>mzml and imzml;FASTA;CSV / TSV</td>\n",
       "      <td>...</td>\n",
       "      <td>year_or_less</td>\n",
       "      <td>heard_of</td>\n",
       "      <td>heard_of</td>\n",
       "      <td>heard_of</td>\n",
       "      <td>heard_of</td>\n",
       "      <td>never_heard</td>\n",
       "      <td>never_heard</td>\n",
       "      <td>heard_of</td>\n",
       "      <td>heard_of</td>\n",
       "      <td>every_week</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>09/07/2019</td>\n",
       "      <td>doctoral</td>\n",
       "      <td>galaxy = every_month;gnomad = never_heard;inte...</td>\n",
       "      <td>BLAST - every weekPUBCHEM - every month</td>\n",
       "      <td>17</td>\n",
       "      <td>informal</td>\n",
       "      <td>r_lang = year_or_less;python = every_month;per...</td>\n",
       "      <td>MongoDBC/C++</td>\n",
       "      <td>GFF;FASTA;VCF;BAM;CSV / TSV;Excel / Google She...</td>\n",
       "      <td>...</td>\n",
       "      <td>every_month</td>\n",
       "      <td>every_day</td>\n",
       "      <td>heard_of</td>\n",
       "      <td>every_week</td>\n",
       "      <td>never_heard</td>\n",
       "      <td>never_heard</td>\n",
       "      <td>year_or_less</td>\n",
       "      <td>every_week</td>\n",
       "      <td>heard_of</td>\n",
       "      <td>every_day</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>16/08/2019</td>\n",
       "      <td>masters</td>\n",
       "      <td>galaxy = heard_of;gnomad = never_heard;intermi...</td>\n",
       "      <td>Omim - every monthClinVar - every monthENA - e...</td>\n",
       "      <td>11</td>\n",
       "      <td>masters</td>\n",
       "      <td>r_lang = year_or_less;python = every_day;perl ...</td>\n",
       "      <td></td>\n",
       "      <td>FASTA;VCF;BAM;CSV / TSV;Excel / Google Sheets ...</td>\n",
       "      <td>...</td>\n",
       "      <td>every_day</td>\n",
       "      <td>every_month</td>\n",
       "      <td>year_or_less</td>\n",
       "      <td>every_day</td>\n",
       "      <td>heard_of</td>\n",
       "      <td>heard_of</td>\n",
       "      <td>heard_of</td>\n",
       "      <td>year_or_less</td>\n",
       "      <td>heard_of</td>\n",
       "      <td>every_week</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>21/08/2019</td>\n",
       "      <td>doctoral</td>\n",
       "      <td>galaxy = every_week;gnomad = heard_of;intermin...</td>\n",
       "      <td>Ensembl REST API, BLAST, PyANI, CyVerse (US/UK)</td>\n",
       "      <td>21</td>\n",
       "      <td>doctoral</td>\n",
       "      <td>r_lang = every_day;python = every_day;perl = e...</td>\n",
       "      <td>bash shell, GNU tools (awk, sed, curl, etc), jq</td>\n",
       "      <td>JSON, RDF;FASTA;VCF;BAM;CSV / TSV;Excel / Goog...</td>\n",
       "      <td>...</td>\n",
       "      <td>every_day</td>\n",
       "      <td>every_day</td>\n",
       "      <td>every_day</td>\n",
       "      <td>every_day</td>\n",
       "      <td>year_or_less</td>\n",
       "      <td>every_month</td>\n",
       "      <td>every_day</td>\n",
       "      <td>every_day</td>\n",
       "      <td>every_day</td>\n",
       "      <td>every_day</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Respondent ID Date Started biological_education  \\\n",
       "0              1   06/07/2019           highschool   \n",
       "1              2   06/07/2019             doctoral   \n",
       "2              3   09/07/2019             doctoral   \n",
       "3              4   16/08/2019              masters   \n",
       "4              5   21/08/2019             doctoral   \n",
       "\n",
       "                             bio_database_experience  \\\n",
       "0  galaxy = every_day;gnomad = never_heard;interm...   \n",
       "1  galaxy = every_day;gnomad = never_heard;interm...   \n",
       "2  galaxy = every_month;gnomad = never_heard;inte...   \n",
       "3  galaxy = heard_of;gnomad = never_heard;intermi...   \n",
       "4  galaxy = every_week;gnomad = heard_of;intermin...   \n",
       "\n",
       "                             software_tools_freetext  years_experience_bio  \\\n",
       "0                                                                       10   \n",
       "1            MaxQuant Every monthCardinal Everz weak                     7   \n",
       "2            BLAST - every weekPUBCHEM - every month                    17   \n",
       "3  Omim - every monthClinVar - every monthENA - e...                    11   \n",
       "4    Ensembl REST API, BLAST, PyANI, CyVerse (US/UK)                    21   \n",
       "\n",
       "  computer_education                                computer_experience  \\\n",
       "0           doctoral  r_lang = every_month;python = every_day;perl =...   \n",
       "1           informal  r_lang = every_week;python = year_or_less;perl...   \n",
       "2           informal  r_lang = year_or_less;python = every_month;per...   \n",
       "3            masters  r_lang = year_or_less;python = every_day;perl ...   \n",
       "4           doctoral  r_lang = every_day;python = every_day;perl = e...   \n",
       "\n",
       "                       programming_langs_free_text  \\\n",
       "0                                            C/C++   \n",
       "1                                                    \n",
       "2                                     MongoDBC/C++   \n",
       "3                                                    \n",
       "4  bash shell, GNU tools (awk, sed, curl, etc), jq   \n",
       "\n",
       "                                      bio_file_types  ...  \\\n",
       "0                            GFF;FASTA;BAM;CSV / TSV  ...   \n",
       "1                     mzml and imzml;FASTA;CSV / TSV  ...   \n",
       "2  GFF;FASTA;VCF;BAM;CSV / TSV;Excel / Google She...  ...   \n",
       "3  FASTA;VCF;BAM;CSV / TSV;Excel / Google Sheets ...  ...   \n",
       "4  JSON, RDF;FASTA;VCF;BAM;CSV / TSV;Excel / Goog...  ...   \n",
       "\n",
       "   computer_experience_python  computer_experience_perl   \\\n",
       "0                    every_day              year_or_less   \n",
       "1                 year_or_less                  heard_of   \n",
       "2                  every_month                 every_day   \n",
       "3                    every_day               every_month   \n",
       "4                    every_day                 every_day   \n",
       "\n",
       "  computer_experience_java  computer_experience_rdbm   \\\n",
       "0              year_or_less              year_or_less   \n",
       "1                  heard_of                  heard_of   \n",
       "2                  heard_of                every_week   \n",
       "3              year_or_less                 every_day   \n",
       "4                 every_day                 every_day   \n",
       "\n",
       "  computer_experience_functional_language  computer_experience_graph_db   \\\n",
       "0                                 heard_of                      heard_of   \n",
       "1                                 heard_of                   never_heard   \n",
       "2                              never_heard                   never_heard   \n",
       "3                                 heard_of                      heard_of   \n",
       "4                             year_or_less                   every_month   \n",
       "\n",
       "  computer_experience_semantic  computer_experience_html   \\\n",
       "0                      heard_of              year_or_less   \n",
       "1                   never_heard                  heard_of   \n",
       "2                  year_or_less                every_week   \n",
       "3                      heard_of              year_or_less   \n",
       "4                     every_day                 every_day   \n",
       "\n",
       "  computer_experience_js  computer_experience_git   \n",
       "0            year_or_less               every_week  \n",
       "1                heard_of               every_week  \n",
       "2                heard_of                every_day  \n",
       "3                heard_of               every_week  \n",
       "4               every_day                every_day  \n",
       "\n",
       "[5 rows x 37 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# re-append these two split-out columns into the dataframe\n",
    "expanded_backgrounds = backgrounds.join([bio_software, computer_experience])\n",
    "\n",
    "# Preview hte data now...\n",
    "expanded_backgrounds.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Exploring the data - what does people's experience look like in a histogram? \n",
    "\n",
    "xp_hist = [expanded_backgrounds[\"years_experience_bio\"], expanded_backgrounds[\"years_experience_computer\"]]\n",
    "\n",
    "plt.hist(xp_hist, bins=5,histtype=\"bar\",color=['#FFE082','#80DEEA'])\n",
    "plt.xlabel(\"Years of experience\")\n",
    "plt.ylabel(\"Number of respondents\")\n",
    "plt.legend([\"Biology experience\", \"Computer experience\"])\n",
    "plt.savefig('figures/bio_computer_xp_years_bar.png',dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Heatmap might be more useful than the above diagram\n",
    "#This is the Figure 1 shown in the paper\n",
    "\n",
    "color_scale = ['#FFFFFF', '#80DEEA','#26C6DA', '#0097A7']\n",
    "#color_scale = ['#FFA000','#FFCA28','#FFE082','#0097A7','#26C6DA','#80DEEA']\n",
    "my_colors_4 = colors.ListedColormap(color_scale)\n",
    "\n",
    "fig = plt.hist2d(expanded_backgrounds[\"years_experience_bio\"], \n",
    "                 expanded_backgrounds[\"years_experience_computer\"], \n",
    "                 bins=5, \n",
    "                 range=[[0,25], [0,25]], density=False, \n",
    "                 cmap=my_colors_4,\n",
    "                 color='w')\n",
    "\n",
    "my_ticks = [0,1,2,3]\n",
    "norm = colors.BoundaryNorm(my_ticks, 4)\n",
    "\n",
    "def tick_to_show(x, pos):\n",
    "    if(pos in my_ticks):\n",
    "        return str(pos) + \" participants\"\n",
    "\n",
    "fmt = ticker.FuncFormatter(tick_to_show)\n",
    "\n",
    "colorbar = plt.colorbar(None, ticks=[-0.4,0.85,2.1,3.35], format=fmt, norm=norm)\n",
    "\n",
    "plt.clim(-1,4)\n",
    "\n",
    "plt.xlabel('Years biological experience')\n",
    "plt.ylabel('Years computer experience')\n",
    "\n",
    "plt.xticks([0, 5, 10, 15, 20, 25])\n",
    "plt.yticks([0, 5, 10, 15, 20, 25])\n",
    "\n",
    "plt.savefig('figures/figure1.png',dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/user/anaconda3/lib/python3.8/site-packages/pandas/plotting/_matplotlib/core.py:1010: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  scatter = ax.scatter(\n"
     ]
    },
    {
     "data": {
      "image/png": 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fy9dv4OzujZPUMmlq8m9OE1H1OidXjLJ7NsVMXU8A9gD/UGXdkiSNZN3WbZzXc+OoMWt6NnPs3Dl+mytVwL85TVTVt3WdOMb+h4H/Bt6dmd+quG5Jkoa1dtOWmuIu2LTFD0pSBfyb00RVnZw8ZZR9u4C7MvOhiuuUJGlEvTv66d7eN3YgcPX2Pnp39DtgV9oP/s1pf1S9zokLK0qSmkrfzl3jjveDkjRx/s1pfzR0QLwkSY3WPmtGXeMl7cu/Oe2PuiQnEbEkIj4SEZsj4t7ysbkse1Y96pQkaTjzZrfR1dFeU+zSjna/wZX2k39z2h+VJycR8S7gB8DrgIXAIeVjYVn2/Yg4t+p6JUkaycpFC2uKW1FjnKTR+Teniao0OYmI1wDnAg8Aa4AlwOPLx2JgNdAPvLOMlSSp7pZ1zmfVkqNGjVm15ChnDZIq4t+cJqrq2breAjwEvCAzrx2y78fAjyPic8CGMvY/K65fkqRhre5azLFz57B205Z9ZhJa2tHOClerlirn35wmourk5Cjg28MkJntl5rXlYo0nVFy3JEmjWtY5n2Wd8+nd0U/fzl20z5rh/e5SHfk3p/GqOjn5DXB3DXH3lrGSJDXcvNltfkCSGsi/OdWq6gHxXwdOiIiDRgoo9z0f+EbFdUuSJElqYVUnJ2dTrAR/aUQ8dejOiOgEPlfGrKq4bkmSJEktrOrbut4H9AB/DGyOiB5gYNX4BRSzdx0AfBl4X0QMfm1m5msrbo8kSZKkFlF1cnLmoJ8fAxxbPoZ66TBlCZicSJKkYTmoWpr6qk5OXlDx8SRJ0jS3bus2zt+4hWvueGQ62q6OdlY6Ha005VSanGTmd6o8niRJmt5WdfdwXs+Njyrv3t7H8vUbWHXn3azuWjwJLZNUD1UPiJckSarEuq3bhk1MBlvTs5l1W7c1qEWS6q3q27r2iojHAIcCM0eKyUzPJpIkaVhrN22pKe6CTVu8vUuaIipPTiLiZODvgKXAgaOEZj3qlyRJra93Rz/d2/vGDgSu3t5H745+B8lLU0ClyUFEvBz4fxS3i91FMY3wjirrkCRJU1/fzl3jjjc5kVpf1Vcuzi23rwMuzsw9FR9fkiRNA+2zZtQ1XlJzqnpA/FOB72TmRSYmkiRpoubNbqOro72m2KUd7V41kaaIqpOT2ylu55IkSdovKxctrCluRY1xkppf1cnJOuD5ETGr4uNKkqRpZlnnfFYtOWrUmFVLjnKmLmkKqTo5ORfoBS6LiM6Kjy1JkqaZ1V2L+czJxz/qFq+lHe185uTjXYBRmmKqXiH+/oh4IbABuDEifgncCgw3/iQz8w+qrF+SJE09yzrns6xzPr07+unbuYv2WTMcYyJNUVVPJXw4cDlwJBBAZ/kYTlZZtyRJmtrmzW4zKZGmuKqnEl4LLKRIUP4F+DmucyJJkiSpBlUnJy8Efgr8UWburvjYkiRJkqawqgfEHwBcZ2IiSZIkabyqTk66GXmMiSRJkiSNqOrk5B3A70bE6ys+riRJkqQpruoxJ88APg58OCJeBaxn5KmEycz/qLh+SZIkSS2q6uTkYoopggN4PvD7I8RFGWdyIkmSJAmoPjl5N65fIkmSJGkCql4h/twqjydJkiRp+qh6QLwkSZIkTUjVt3XtFRGHA88DDi+LbgWuysxb61WnJEmSpNZVeXISEXOBDwKn8+grMxkRnwPelJl3Vl23JEmSpNZVaXISEb8FfBdYCDwAfBP4JcUg+SOAPwSWAYsioisz762yfkmSJEmtq+orJ2dTJCbrGObqSEQcCnwAWA6sAv6u4volSZIktaiqB8SfDvQCrx7utq3MvAt4TRnz8orrliRJktTCqk5OFlAMen9opIBy31XA/IrrliRJktTCqk5OHgAOrSHu0DJWkiRJkoDqk5NrgRMi4tkjBUTEscCJwA8rrluSJElSC6s6ObkAOBD4VkS8JyKOioiDysfTI+IfgMuBx5SxkiRJkgRUnJxk5leBdwBtFDNx/QTYUT6uB84BDgHOycyv7W99EXFsRJwdEZdGxC0RkRGRo8SfOxAzwmP1/rZJkiRJ0sRUvghjZv7fiFgP/A3we8Bvl7t+BXwP+GBm/qCi6t4J/MkEXncV8LNhyq/dv+ZIUv08tGcPu/ckvTv6mTe7bbKbI0lS5SpPTgAy84fAX9Tj2ENcDWwCflA+fgnMrOF1H83Mi+vXLEmqzrqt2zh/4xZetWcHAC++5DK6OtpZuWghyzqd+FCSNHXUJTlplMxcM/h5RExWUySpLlZ193Bez40AvOrQR7576d7ex/L1G1h1592s7lo8Wc2TJKlSlY45iYhnRcTaiHjOKDHPLWOWVFm3JE0167Zu25uYjGRNz2bWbd3WoBZJklRfVc/W9SbgrylurxrJL8qYN1Zc93icFBEXRsSHI+KccnpjSWoqazdtqSnughrjJElqdpE54uRW4z9YxE+BOzPz+DHiNgCHZuaRlVVeHHcnMDMzh72/KyLOBf5+hJd/DjgzM3fUWNf1I+zqXLBgwcyLLrpob0F/fz8AbW0OYNXw7CMa6qE9e7jpnvv2KXvSY4tT2+0PP/q8feTjD+HAA6r+vkmtyPOJamE/US2G9pOzzjqLm2+++YbMPKZedVb9P9nhjH7VZMDNPDKLVyP9DHgrcAwwG5gHvAq4FXg58J+T0CZJepTde8b3xdF44yVJakZVD4h/EHh8DXGPA3ZXXPeYMvOSIUX9wKci4tvAj4HTIqIrM7trONawGWNEXN/W1nb0SSedtLfsiiuuAGBwmTSYfURD9e7o58WXXLZP2T+XA+L/9q4HHxW/7dRTnF5YgOcT1cZ+oloM7SeNuNJW9ZWT64Hfi4gnjBRQ7ns+cEPFdU9YZt4GfLx8eupktkWSAObNbqOro72m2KUd7SYmkqQpoerk5BKK26U+GxFPHrozIg4HPgMcDHyy4rr310/L7WGT2gpJKq1ctLCmuBU1xkmS1Oyqvq3ro8ArgBOBmyLi68DWcl8n8IfAQRQrtH+44rr315xy2z+prZCk0rLO+ay6827W9GweMWbVkqNciFGSNGVUmpxk5sMR8UfAP1OsEH/akJDdFLdPvTkzH66y7v0RxeqNp5dPr5vMtkjSYKu7FnPs3DnFtMK7H5lMcGlHOytcIV6SNMVUvkJ8Zt4PvC4i3klxBWVeuasXuLIc39FwETEXWA78R2beN6h8NvBPwHHA7cClk9E+SRrJss75LOuczzcuv5zde9LB75KkKavy5GRAmYR8utb4iPgTYHFmvnscr3kx8M5BRTPK8sGzbb0nM78CtAEfAFZHxA+A24C5wLOAduAe4IwyuZKkpnPgAQdw4AGYmEiSpqy6JScTcBrw50DNyQlFcnHcMOXHDYkB6APWAF3AkcDxFLeZ/QK4GLggM28dV4slSZIkVaaZkpNxy8yLKRKLWmLvA86uZ3skSZIkTVzVUwlLkiRJ0oSYnEiSJElqCiYnkiRJkpqCyYkkSZKkpmByIkmSJKkpmJxIkiRJagomJ5IkSZKagsmJJEmSpKbQTIswfhS4crIbIUmSJGly1CU5iYh24NXAc4FDgW9l5nnlvmOATuDyzLx/4DWZeRVwVT3aI0mSJKn5VZ6cRMQyiqsgs4EAErh1UMjhwOeBvwAuqbp+SZIkSa2p0jEnEbEU+BTwMPC/KK6cxJCwbwH3Ai+rsm5JkiRJra3qKyd/B+wBTs7M6wAi9s1NMnN3RFwHPKPiuiVJkiS1sKpn6zoeuHogMRnF7cBhFdctSZIkqYVVnZwcDNxZQ9yciuuVJEmS1OKqTk5uBY4ZLSCK+7yeAfyi4rolSZIktbCqk5OvAwsj4s9GiXkdMA/4SsV1S5IkSWphVQ+IXw28EviPiHgmxZTBAG3l89OBt1Pc+nVBxXVLkiRJamGVXjnJzFuAFwN3AW+jWFQxgTOAHwLnAPcAf5yZd1RZtyRJkqTWVvkijJl5dUQsBF4LnAwcQZEE3QKsB/4tM++tul5JkiRJra3y5AQgM+8DLiwfkiRJkjSmqgfES5IkSdKEVJqcRMRJEXFpRPz+KDHPL2OeX2XdkiRJklpb1VdO3kAxzqRnlJge4BTgf1RctyRJkqQWVnVy8lzgR+WYk2Fl5m+A64DjKq5bkiRJUgurOjl5EtBbQ1wvcFjFdUuSJElqYVUnJ/1ARw1xTwR2Vly3JEmSpBZWdXLyI+B5ETF/pIBy3+8DGyuuW5IkSVILqzo5uQiYCXw5Ip49dGdZdhlwYBkrSZIkSUDFizBm5qcj4nTgDOCaiNgIbC13dwKLgQA+n5n/WWXdkiRJklpbPVaI/zPg74CVwJLyMeAe4ALgfXWoV5IkSVILqzw5ycw9wHsjYg3wbGBeuasXuDYzd1VdpyRJkqTWV48rJwBk5kPA1eVDkiRJkkZV9YB4SZIkSZqQyq+cRMRM4BXA8ykWWpw5Qmhm5h9UXb8kSZKk1lRpchIRhwPfAp5GMSvXaLLKuiVJkiS1tqqvnPwjcCSwAVgL3ATcV3EdkqQppndHP307d9E+awbzZrdNdnMkSZOk6uTkD4FtwAszc2fFx5YkTTHrtm7j/I1buOaOvr1lXR3trFy0kGWd8yexZZKkyVD1gPiZwDUmJpKksazq7mH5+g37JCYA3dv7WL5+A2d3b5yklkmSJkvVycmPgUMrPqYkaYpZt3Ub5/XcOGrMmp7NrNu6rUEtkiQ1g6qTkzXA8yPiuRUfV5I0hazdtKWmuAtqjJMkTQ1Vjzm5jmIg/LciYi2wHrgF2DNccGb6lZgkTTO9O/rp3t43diBw9fY+enf0O0hekqaJqpOTX1JMERzAOeVjJFmH+iVJTa5v565xx5ucSNL0UHVy8F1cv0SSNIr2WTPqGi9Jal2VJieZeWKVx5MkTT3zZrfR1dFe061dSzvavWoiSdNI1QPiJUka08pFC2uKW1FjnCRpaqhrchIRT4uIpRFxZD3rkSS1lmWd81m15KhRY1YtOcqFGCVpmqk8OYmImRHxvoi4C7gR+G/g7EH7Xx0R10XEkqrrliS1jtVdi/nMycfT1dG+T/nSjnY+c/LxrO5aPEktkyRNlkrHnETEQcAVwHOB7cBXgRcPCbsC+ASwHOipsn5JUmtZ1jmfZZ3z6d3RT9/OXbTPmuEYE0maxqq+cvJ24DjgIuB3MvOlQwMy81fADcALK65bktSi5s1uY8mhc0xMJGmaqzo5+VNgG/A/M3PnKHFbgHkV1y1JkiSphVWdnDwF+GFmPjxG3C5gTsV1S5IkSWphVScnD1Bb0vEU4O6K65YkSZLUwqpOTnqAZ0fE3JECIuIpwDOBH1RctyRNaQ/t2cPOh3fTu6N/spsiSVJdVJ2c/DtwCPDpiDh06M6IeDzFYPkDgY9UXLckTUnrtm6j69L13HTPfWz9zQ7mX3IZSz+/nnVbt0120yRJqlSlyUlmfhr4L+Ak4OcR8fVy1/Mi4ovAL4ETgP/MzC9XWbckTUWruntYvn4D19zRt0959/Y+lq/fwNndGyepZZIkVa8eK8S/ClgF7AROKcueBrwUSOAdwF/WoV5JmlLWbd3GeT03jhqzpmezV1AkSVNGpYswAmRmAv8YEWuBZwFHUCRBtwA/yMxdVdcpSVPR2k1baoq7YNMWlnXOr3NrJEmqv8qTkwGZuZti0LsD3yVpnHp39NO9vW/sQODq7X307uh3AUNJUsurx21dkqT91LdzfBeZxxsvSVIz2q8rJxHxLopxJB/MzF+Xz2uVmfme/alfkqaq9lkz6hovSVIz2t/bus6lSE7+H/DrQc+jhtcmYHIiScOYN7uNro72mm7tWtrR7i1dkqQpYX+Tk4FZt24rt2dRJB2SpP20ctFClq/fMGbcikULG9AaSZLqb7+Sk8z8xJDnF+9XayRJey3rnM+qO+9mTc/mEWNWLTnKmbokSVNGpbN1ldMH3+1YEkmqxuquxRw7d04xrfDuHXvLl3a0s2LRQhMTSdKUUvVUwm8CvljxMSVpWlvWOZ9lnfP5xuWXs3tPsu3UUxxjIkmakqpOTm7B6YklqS4OPOAADjwAExNJ0pRVdSLxBeCEiDik4uNKkiRJmuKqTk7+HtgGfDUinlnxsR8lIo6NiLMj4tKIuCUiMiLGnC0sIs6MiO9HxI6I+HVEfDUijq93eyVJkiSNrOrbur4IPAg8D/hhRNxGkazsHCY2M/MP9rO+dwJ/Mp4XRMSFwJuBB4BvArOAk4FTIuKMzPzCfrZJkiRJ0gRUnZycOOjnAH67fAynivVQrgY2AT8oH78EZo4UHBEvpEhM+oClmfnTsnwpcCXw8Yi4MjPvqaBtklSph/bsYfeepHdHv+NONCL7iaRWVnVy8pSKjzeqzFwz+HnEmAvTryy37x1ITMrjXB0RHwb+FngtcH6V7ZSk/bFu6zbO37iFV+0pphJ+8SWX0dXRzkqnEtYg9hNJU0GlY04y8+bxPKqseywRcRBwUvn0s8OEDJS9tDEtkqSxreruYfn6DVxzR98+5d3b+1i+fgNnd2+cpJapmdhPJE0V02na34UUt3zdmZm3DLP/unK7qHFNkqSRrdu6jfN6bhw1Zk3PZtZt3dagFqkZ2U8kTSV1SU4i4uiIuCAiroqILRFx3qB9x0fE30bEE+pR9ygGrmkPl5iQmf3APcAcp0KW1AzWbtpSU9wFNcZparKfSJpKIrOKcemDDhixEljNI+NZEvhEZp5V7j8e+B7w15n5bxXXvROYmZmPGnwSEa8EPglclZm/N8LrbwEOBw7PzF+NUdf1I+zqXLBgwcyLLrpob0F/fz8AbW0OTNTw7CMa6qE9e7jpnvv2KXvSY4tT2+0PP/q8feTjD+HAA6bTxXCB/UQT5/87qsXQfnLWWWdx880335CZx9SrzkrPUBHxYuCfgF7gZcATKWbt2iszNwB3Ms4pgCVpOtm9Z3xfHI03XlOD/UTSVFP1bF0rgX7g5Mz8OYw4g1YPxRiQRtpRbg8eJWbg64P7RokBYKSMMSKub2trO/qkk07aW3bFFVcAMLhMGsw+oqF6d/Tz4ksu26fsnw8tZkr/27sefFT8tlNPcdrYach+oony/x3VYmg/acSVtqqv7R4LdA8kJqO4C3hSxXWPZWAk4JOH2xkRbcDjgbszc8zkRJLqad7sNro62muKXdrR7gfOacp+ImmqqTo5mUENVx0obvd6uOK6x7KFYvX6uRFx+DD7n1VuNzWuSZI0spWLarvAvKLGOE1N9hNJU0nVyckvgMWjBUTEDIrpem+quO5RZeYDwBXl02XDhJxRbi8bZp8kNdyyzvmsWnLUqDGrlhzlAnvTnP1E0lRSdXLyJeCIcsaukbwdmAtcWnHdtVhbbs+JiKcNFEbEUuANFFMJf2wS2iVJw1rdtZjPnHz8o27dWdrRzmdOPp7VXaN+H6Rpwn4iaaqoekD8ecCrgH+MiOOAz5flHRFxOnB6uf8XwAf2t7JydrB3DiqaUZZ3Dyp7T2Z+BSAzL4+I9wNvBnoiYn35mpMpZhX7y8y8Z3/bJUlVWtY5n2Wd8/nG5Zeze086qFnDsp9ImgoqTU4y8+6IeCHwWYpbpwZulTq1fARwA3BaRYPO5wLHDVN+3JCYwW18S0T0AG+iSEp2AZdTJDEbKmiTJNXFgQccwIEH4AdOjcp+IqmVVX3lhMy8KSKWAC8FTgGOoLh97BZgPfC5zNxdUV0XAxc36nWSJEmS6qfy5AQgM/cAXywfkiRJkjSmqgfES5IkSdKE1CU5iYglEfGRiNgcEfeWj81l2bPGPoIkabL17uin56676d3RP9lNkSRNE5Xf1hUR76KYQesxQ3YtLB9nRcR7M/PcquuWJO2/dVu3cf7GLVxzR9/esq6OdlYuWuhaGZKkuqr0yklEvAY4F3gAWAMsAR5fPhYDq4F+4J1lrCSpiazq7mH5+g37JCYA3dv7WL5+A2d3b5yklkmSpoOqb+t6C/AQ8ILM/N+ZuSkzf1M+fpyZfwecBDxcxkqSmsS6rds4r+fGUWPW9Gxm3dZtDWqRJGm6qTo5OQr4dmZeO1JAue+KMlaS1CTWbtpSU9wFNcZJkjReVScnvwHuriHu3jJWktQEenf00729b+xA4OrtfQ6SlyTVRdXJydeBEyLioJECyn3PB75Rcd2SpAnq27mrrvGSJNWi6uTkbGAXcGlEPHXozojoBD5XxqyquG5J0gS1z5pR13hJkmpR9VTC7wN6gD8GNkdED3BzuW8BxexdBwBfBt4XEYNfm5n52orbI0mqwbzZbXR1tNd0a9fSjnbmzW5rQKskSdNN1cnJmYN+fgxwbPkY6qXDlCVgciJJk2TlooUsX79hzLgVixY2oDWSpOmo6uTkBRUfT5LUIMs657PqzrtZ07N5xJhVS45yIUZJUt1Umpxk5neqPJ4kqbFWdy3m2LlzWLtpyz63eC3taGeFK8RLkuqs6isnNYuIx2Tm7smqX5I0vGWd81nWOZ/eHf307dxF+6wZjjGRJDVEpbN1RcSHRptGeFDckcDVVdYtSarWvNltLDl0jomJJKlhqp5K+A3AtRHxzJECIuKvgGsZfqC8JEmSpGmq6uTkY8DTgasj4uwYNFdwRLRHxBeAD5VF/6PiuiVJkiS1sEqTk8x8PfAy4D7g/wDfjoj5EXEq8GOK9U9+ADwzM/+9yrolSZIktbbKB8Rn5hci4hrgYuBk4HrgYGAP8G7gPQ6ElyRJkjRU1bd1AZCZtwGrgN8AAyMp/x/wDyYmkiRJkoZTl+QkIlZSzMb1OODzQB/wCuDKiFhQjzolSZIktbaqpxL+7YhYD/wjcD+wPDNfDiwG1gO/D2yMiFdVWa8kSZKk1lf1lZMfA38AfBtYlJmfheI2r8w8FXgLMAP4j4j4dMV1S5IkSWphVScnbcBbM/OFmXnr0J2Z+c/As4FNwPKK65YkSZLUwqqereu4zNw4WkBm3hARzwXeW3HdkiRJklpYpcnJWInJoLiHKGbzkiRJkiSgDuucQLEaPPBq4LnAocC3MvO8ct8xQCdweWbeX4/6JUmSJLWeypOTiFgGfBSYDQSQwODxJ4dTTC/8F8AlVdcvSZIkqTVVPZXwUuBTwMPA/6K4chJDwr4F3Au8rMq6JUmSJLW2qq+c/B2wBzg5M68DiNg3N8nM3RFxHfCMiuuWJEmS1MKqnkr4eODqgcRkFLcDh1VctyRJkqQWVnVycjBwZw1xcyquV5IkSVKLqzo5uRU4ZrSAKO7zegbwi4rrliRJktTCqk5Ovg4sjIg/GyXmdcA84CsV1y1JkiSphVU9IH418ErgPyLimRRTBgO0lc9PB95OcevXBRXXLUmSJKmFVXrlJDNvAV4M3AW8DbiKYp2TM4AfAucA9wB/nJl3VFm3JKlavTv66bnrbnp39E92UySpZp67WlvlizBm5tURsRB4LXAycARFEnQLsB74t8y8t+p6JUnVWLd1G+dv3MI1d/TtLevqaGflooUs65w/iS2TpJF57poaKk9OADLzPuDC8lGTiHgCMDszt9WjTZKksa3q7uG8nhsfVd69vY/l6zew6s67Wd21eBJaJkkj89w1dVQ9IH5/nA/8fLIbIUnT1bqt24b9z32wNT2bWbfV75AkNQ/PXVNLMyUnADF2iCSpHtZu2lJT3AU1xklSI3jumlqaLTmRJE2C3h39dG/vGzsQuHp7nwNNJTUFz11Tj8mJJIm+nbvqGi9J9eC5a+oxOZEk0T5rRl3jJakePHdNPSYnkiTmzW6jq6O9ptilHe3Mm91W5xZJ0tg8d009JieSJABWLlpYU9yKGuMkqRE8d00tJieSJACWdc5n1ZKjRo1ZteQoFzOT1FQ8d00tdVmEUZLUmlZ3LebYuXNYu2nLPjPgLO1oZ4WrLEtqUp67pg6TE0nSPpZ1zmdZ53x6d/TTt3MX7bNmeJ+2pKbnuWtqaKbk5Ebgu5PdCElSYd7sNv9jl9RyPHe1toYlJxFxKvAMoBe4NDMfGrw/M9cAaxrVHkmSJEnNpdIB8RHx1xHx84h43pDyzwBfoUg+PgV8LyJmVVm3JEmSpNZW9WxdpwMHA1cPFJRXTM4AbgVWA98HngO8vuK6JUmSJLWwqm/rWgj8JDP3DCr7MyCBMzLz++UVk5uBVwP/UnH9kiRJklpU1VdO5gK3Dyk7AejNzO8DZOZOYAPwlIrrliRJktTCqk5O7gUOHXgSEU8BFgBXDonrB5xGQZIkSdJeVScnPwOeHxEDK938FcUtXV8fEvdkHn2FRZIkSdI0VnVy8iFgFrApIq4F3g7cCXx5ICAiDgKeDdxQcd2SJEmSWlilyUlmfhI4H5gJPJNihq5XZOaOQWHLKWb0+laVdUuSJElqbZUvwpiZb4uIc4DHZeadw4RcQZG4bK26bkmSJEmtq9LkJCLWAndn5nsobud6lMzspVglXpIkSZL2qnrMyZuARRUfU5IkSdI0UHVycksdjilJkiRpGqg6kfgCcEJEHFLxcSVJkiRNcVUnJ38PbAO+GhHPrPjYkiRJkqawqmfr+iLwIPA84IcRcRtFsrJzmNjMzD+ouH5JkiRJLarq5OTEQT8H8NvlYzhZcd2SJEmSWljVyclTKj6eJEmSpGmi0uQkM2+u8niSJEmSpo9pN+1vRFwZETnK49TJbqMkSZI0HVV9W9c+IuLxwCEU408eJTO31bP+MXwO2DFM+a2NbogkSZKkOiQnEfEk4L3AHwPto4RmPeofh7dm5i8nsX5J0iTp3dFP385dtM+awbzZbZPdHElSqdLkICIOA35AMUPXrcCdwBOBq4HfATookpKrgYeqrFuSpLGs27qN8zdu4Zo7+vaWdXW0s3LRQpZ1zp/ElkmSoPoxJ+dQJCbvysx5wNco1jN5XmYeRjHV8I0UCcofVVy3JEkjWtXdw/L1G/ZJTAC6t/exfP0Gzu7eOEktkyQNqDo5ORX4RWa+d7idmfld4BTgmcA7K657vF4bEf8aER+IiL+NCL8yk6Qpat3WbZzXc+OoMWt6NrNu62QOhZQkVZ2cHA70DHq+GyAiZg4UZOatwLeB5RXXPV7nAP8TeCPwfuBnETHZCZMkqQ7WbtpSU9wFNcZJkuojMqtbqD0i7gC+l5kvL5//E7ACeFpm/nxQ3DrgxZl5cGWV197GdwM3ARuA24B5wBkUycpBwFsy8/01HOf6EXZ1LliwYOZFF120t6C/vx+AtjYHXWp49hHVwn4yMQ/t2cNN99xXc/yRjz+EAw9o3Zn27Seqhf1EtRjaT8466yxuvvnmGzLzmHrVWfXZdxsw+Paon5TbFw0URMTBwPMoEoOGy8x3ZeYlmfnzzHwgM2/KzPcBp5Uh50bEQZPRNklS9XbvGd+XcOONlyRVp+qpfK8A3hwRczPzTuBLQD/wjxHxZIoZvF5NMWvXhyque79k5jcj4ofAs4HjgCvHiB82Y4yI69va2o4+6aST9pZdccUVAAwukwazj6gW9pOJ6d3Rz4svuazm+G2nntLS0wvbT1QL+4lqMbSfNOJKW9VXTj4JXAocDZCZvwbeQLEI49uBC4HnADcA76i47ir8tNweNqmtkCRVZt7sNro6Rlt26xFLO9pbOjGRpFZXaXKSmRsz8xWZ+Z1BZZ8GjgT+mmJcxzLgWZl5b5V1V2ROue2f1FZIkiq1ctHCmuJW1BgnSaqPhqzQnpnbgA83oq6Jioi5wO+XT6+bzLZIkqq1rHM+q+68mzU9m0eMWbXkKBdilKRJVtfpSCJiZkQcFhFPqGc9tYqI4yPitIh4zJDyI4DPA23AlzLzlslonySpflZ3LeYzJx//qFu8lna085mTj2d11+JJapkkaUBdrpxExF9RrCHyuxTjTT4BnFXuexnFoPi3Z+bP6lH/KI4EPg7cHhHXAfcAC4BjgVnA9cDrG9wmSVKDLOucz7LO+fTu6Kdv5y7aZ81wjIkkNZFKk5PyisRngT8GHgI2A0NntdpYxlwL/J8q66/BNRSzhB1HMTB/DsX4kh5gHfChzHygwW2SJDXYvNltJiWS1ISqvnLyJuBPgK8Cr83M7RGxZ3BAZm6NiJ8Bf0SDk5PM3EwxMF+SJElSk6l6zMmZwHbgTzNz+yhxN1DcTiVJkiRJQPXJyULgmswcayrefmBuxXVLkiRJamFVJycPUQwsH8t84L6K65YkSZLUwqpOTq4Hjo2IQ0YKiIgnAksoBqFLkiRJElB9cvKfQDvw4YiYMXRnOZvXB4GDKaYXliRJkiSg+tm6PgIsA14BHB8R3yjLF0fE+4GXAE8Bvgl8suK6JUmSJLWwSq+cZOZu4EUUa4n8NvBX5a5nAn9DMdbk34HTMjOrrFuSJElSa6t8hfjM3Am8MSLOBU4EjqBIgm4Bvp2Zv6q6TkmSJEmtr+oV4v8e+Fhm3pKZd1Ksui5JkiRJY6p6QPzfA7+IiMsi4o8jourjS5IkSZqiqk4ezgG2AS8GPg/0RsR7IuKIiuuRJEmSNMVUPSD+fZnZCZxCcUtXO/AO4GcR8fWIeHlEVD7ORZIkSVLrq8ttV5l5eWb+GXA48FZgC0XC8hnglohYHRFPq0fdkiRJklpTXceEZGZfZq7NzGOA3wM+DTwReBtwY0R8KyJOr2cbJEmSJLWGhgxYj4hO4KXAHwwqvgV4AfDZiPh+RMxrRFskSZIkNae6JScRcWBE/FlEfAu4CVhFMXXxWuDpmbkAeB7wNeDZwAfq1RZJkiRJza/ywekRcRTweuA1wBOAADYAHwbWZeaDA7GZeTXwkojoBk6oui2SJEmSWkfVizD+N7CUIiH5DfAh4MOZ+ZMxXno98Jwq2yJJkiSptVR95eR44DqKqySfysz7a3zdR4HvVtwWSZIkSS2k6uTkOZl57XhfVN7edXXFbdEU07ujn76du2ifNYN5s9smuzmSJEmqWKXJyUQSE2ks67Zu4/yNW7jmjr69ZV0d7axctJBlnfMnsWWSJEmqUkOmEpYmalV3D8vXb9gnMQHo3t7H8vUbOLt74yS1TJIkSVUzOVHTWrd1G+f13DhqzJqezazbuq1BLZIkSVI9mZyoaa3dtKWmuAtqjJMkSVJzMzlRU+rd0U/39r6xA4Grt/fRu6O/zi2SJElSvZmcqCn17dxV13hJkiQ1H5MTNaX2WTPqGi9JkqTmY3KipjRvdhtdHe01xS7taHfdE0mSpCnA5ERNa+WihTXFragxTpIkSc3N5ERNa1nnfFYtOWrUmFVLjnIhRkmSpCmi0hXipaqt7lrMsXPnsHbTln1m71ra0c4KV4iXJEmaUkxO1PSWdc5nWed8enf007dzF+2zZjjGRJIkaQoyOVHLmDe7zaREkiRpCnPMiSRJkqSmYHIiSZIkqSmYnEiSJElqCo45mWIcNK5mZL+UJEm1MDmZItZt3cb5G7dwzR2PTLfb1dHOSqfb1SSyX0qSpPHwtq4pYFV3D8vXb9jnAyBA9/Y+lq/fwNndGyepZZrO7JeSJGm8TE5a3Lqt2ziv58ZRY9b0bGbd1m0NapFkv5QkSRNjctLi1m7aUlPcBTXGSVWwX0qSpIkwOWlhvTv66d7eN3YgcPX2Pnp39Ne5RZL9UpIkTZzJSQvr27mrrvHSRNgvJUnSRJmctLD2WTPqGi9NhP1SkiRNlMlJC5s3u42ujvaaYpd2tLu+hBrCfilJkibK5KTFrVy0sKa4FTXGSVWwX0qSpIkwOWlxyzrns2rJUaPGrFpylAveqaHsl5IkaSJcIX4KWN21mGPnzmHtpi37zJK0tKOdFa7ErUliv5QkSeNlcjJFLOucz7LO+fTu6Kdv5y7aZ83wXn5NOvulJEkaD5OTKWbe7DY//Knp2C8lSVItHHMiSZIkqSmYnEiSJElqCiYnkiRJkpqCY04kaT842F+SpOqYnEjSBKzbuo3zN27hmjsemSa5q6OdlU6TLEnShHlblySN06ruHpav37BPYgLQvb2P5es3cHb3xklqmSRJrc3kRJLGYd3WbZzXc+OoMWt6NrNu67YGtUiSpKnD5ESSxmHtpi01xV1QY5wkSXqEyYkk1ah3Rz/d2/vGDgSu3t5H747+OrdIkqSpxeREkmrUt3NXXeMlSZruTE4kqUbts2bUNV6SpOnO5ESSajRvdhtdHe01xS7taHfdE0mSxsnkRJLGYeWihTXFragxTpIkPcLkRJLGYVnnfFYtOWrUmFVLjnIhRkmSJsAV4iVpnFZ3LebYuXNYu2nLPrN3Le1oZ4UrxEuSNGEmJ5I0Acs657Oscz69O/rp27mL9lkzHGMiSdJ+MjmRpP0wb3abSYkkSRVxzIkkSZKkpmByIkmSJKkpTMvkJCIOioh3R8RNEbEzIn4VERdFxOGT3TZJkiRpupp2Y04iYhZwBdAF3AZ8ETgC+EvgJRHRlZk/n7wWSpLqrdETGThxgjR1NfLvezqcS6ZdcgKcQ5GYXA2ckpk7ACJiJXA+cBFw4qS1TpJUN+u2buP8jVu45o5HpoDu6mhnZZ2mgG50fZIap5F/39PpXDKtbuuKiBnAm8qnbxxITAAycy2wCTghIo6djPZJkupnVXcPy9dv2Oc/d4Du7X0sX7+Bs7s3tnR9khqnkX/f0+1cMq2SE+B5wG8BWzPzR8Ps/2y5fWnjmiRJqrd1W7dxXs+No8as6dnMuq3bWrI+SY3TyL/v6XgumW7JyeJye90I+wfKFzWgLZKkBlm7aUtNcRfUGNds9UlqnEb+fU/Hc0lk5mS3oWEiYi2wArggM1cOs38x0ANcl5mj3toVEdePsKtzwYIFMy+66KK9Bf39/QC0tU3NgUvaf/YR1cJ+MjEP7dnDTffcV3P8kY8/hAMPmPh3d42ubyj7iWphP5mYRv59T/a5BB7dT8466yxuvvnmGzLzmEorGmS6XTmZXW7vH2F/f7k9pAFtkSQ1wO494/sSbrzxk12fpMZp5N/3dD2XTMfZuioxUsYYEde3tbUdfdJJJ+0tu+KKKwAYXCYNZh9RLewnE9O7o58XX3JZzfHbTj1lv6bobHR9Q9lPVAv7ycQ08u97ss8l8Oh+0ogrbdPtysnA7FwHj7B/4B2v/RqaJKmpzZvdRldHe02xSzva9/s/90bXJ6lxGvn3PV3PJdMtORmYyuDJI+wfKL+5AW2RJDXIykULa4pbUWNcs9UnqXEa+fc9Hc8l0y05GZgI+lkj7B8o39SAtkiSGmRZ53xWLTlq1JhVS46qbDGzRtcnqXEa+fc9Hc8l023MyVXAvUBnRCzJzJ4h+88ot7Xf4CdJagmruxZz7Nw5rN20he7tjyxmtrSjnRV1WGW50fVJapxG/n1Pt3PJtEpOMnNXRHwAeAfwwYg4JTP7ASJiJcX6Jt/JzGsns52SpPpY1jmfZZ3z6d3RT9/OXbTPmlHX+7QbXZ+kxmnk3/d0OpdMq+Sk9F7ghcDxwE8j4nvAAuA44E7grElsmySpAebNbmvof+yNrk9S4zTy73s6nEum25gTMnMn8ALgPRTrnZxGkZxcDDwrM38+aY2TJEmSprHpeOWEzHwAeFf5kCRJktQEpt2VE0mSJEnNyeREkiRJUlMwOZEkSZLUFExOJEmSJDUFkxNJkiRJTcHkRJIkSVJTMDmRJEmS1BRMTiRJkiQ1BZMTSZIkSU3B5ESSJElSU4jMnOw2TCkR8ZuZM2ce0tnZubesv78fgLa2tslqlpqcfUS1sJ+oFvYT1cJ+oloM7Sdbt27lwQcfvC8zH1evOk1OKhYRtwMHA72Digcyla2Nb5FahH1EtbCfqBb2E9XCfqJaDO0n84D7M/NJ9arQ5KQBIuJ6gMw8ZrLbouZkH1Et7Ceqhf1EtbCfqBaT0U8ccyJJkiSpKZicSJIkSWoKJieSJEmSmoLJiSRJkqSmYHIiSZIkqSk4W5ckSZKkpuCVE0mSJElNweREkiRJUlMwOZEkSZLUFExOJEmSJDUFkxNJkiRJTcHkRJIkSVJTMDmRJEmS1BRMTuokIg6KiHdHxE0RsTMifhURF0XE4ZPdNjWHiLgyInKUx6mT3UY1RkQcGxFnR8SlEXHLQB+o4XVnRsT3I2JHRPw6Ir4aEcc3os1qvPH2k4g4d4xzzOpGtl/1FxEHR8RpEfGxiNhSfv7oj4iNEfGuiJg9yms9n0wTE+knjTyfPLaqA+kRETELuALoAm4DvggcAfwl8JKI6MrMn09eC9VkPgfsGKb81kY3RJPmncCfjOcFEXEh8GbgAeCbwCzgZOCUiDgjM79QcRs1+cbdT0pXAT8bpvza/WuOmtArgX8vf94MfAl4HHA88A/AKyLihMy8Y/CLPJ9MOxPqJ6W6n09MTurjHIrE5GrglMzcARARK4HzgYuAEyetdWo2b83MX052IzSprgY2AT8oH78EZo4UHBEvpPgg0QcszcyfluVLgSuBj0fElZl5T11brUYbVz8Z5KOZeXH9mqUm8hDwEeDCzNw8UBgRhwFfAZ4JXEjx4XRgn+eT6Wfc/WSQup9PvK2rYhExA3hT+fSNA4kJQGaupfiP5YSIOHYy2iep+WTmmsx8V2Zelpm31/CSleX2vQMfJMrjXA18GHg88NrqW6rJNIF+omkmMz+RmW8Y/IGzLL8NeGP59GXlZ5UBnk+mmQn2k4YxOane84DfArZm5o+G2f/ZcvvSxjVJ0lQREQcBJ5VPPztMiOcYScPZWG5nAu3g+UTDelQ/aTRv66re4nJ73Qj7B8oXNaAtag2vjYh2YA9wE/CFzNw2yW1S81pI8Z/GnZl5yzD7PcdoqJMiYgnFOIJbgK9lpuNNpp/fKbcPAb8uf/Z8oqGG6yeD1f18YnJSvfnldrg/8sHlCxrQFrWGc4Y8/6eIeE9mvmdSWqNmN+o5JjP7I+IeYE5EHJKZ9zWsZWpWrxny/D0R8TngzMG3HmvKe3O5/XpmPlj+7PlEQw3XTwar+/nE27qqNzD92v0j7O8vt4c0oC1qbt+l+CPvBA6m+AbrHcDDwLsj4s2jvFbT11jnGPA8o8LPgLcCx1D0m3nAqyhmAnw58J+T1zQ1UkS8iGLcyEMUs74N8HyivUbpJ9DA84lXTqRJkpnvGlJ0E/C+iPgh8A3g3Ij4SGY+0PjWSWp1mXnJkKJ+4FMR8W3gx8Bp5dT23Y1vnRolIp4OXAIE8LbM3DjGSzQNjdVPGnk+8cpJ9QYuaR08wv62cuulUQ0rM78J/JBihpTjJrc1akJjnWPA84xGUc7I8/HyqYu9TmHlws9fB+YAazPz/UNCPJ+oln4yonqcT0xOqjcwkPnJI+wfKL+5AW1R6xqYzvGwSW2FmtGo55iIaKNIbO/2/nCNwnPMFBcRT6BYUHEBxYfHtw4T5vlkmquxn4yl0vOJyUn1Bi6DPWuE/QPlmxrQFrWuOeW2f9QoTUdbgAeBueW3XUN5jlEtPMdMYRExG/gacDRwKfD6zMxhQj2fTGPj6CdjqfR8YnJSvauAe4HOcqq1oc4ot5c1rEVqKRExF/j98ulIU1JrmirHIF1RPl02TIjnGI0qIgI4vXzqOWaKiYiZwBeB51KMX3xFZu4eLtbzyfQ1nn4yxnEqP5+YnFQsM3cBHyiffrC8JApARKykmCv8O84xP71FxPERcVpEPGZI+RHA5ynu8f3SCPPOS2vL7TkR8bSBwohYCrwBuAf42CS0S00iIuZGxBsj4pAh5bOBD1GMZ7ud4ttSTRHl/ymfplhY8XvAy8rPJaPxfDLNjLefNPp8EhO7eqPRRMQs4EqKX9ZtFL/4BeXzO4GuzPz5pDVQky4izqS4t/N2im8a7qHoI8dSLGx0PXBSZt4xSU1UA0XEi9l32sbnUsyYcs2gsvdk5lcGveZCivno7wfWAzOAk8vXnZGZX6hvq9Vo4+kn5Rcdv6AY8PwDiv+L5lLcptNOcc55SWZeVf+Wq1HKKegvLJ9+HvjNCKFvzcy7Br3uQjyfTBvj7SeNPp84lXAdZObOiHgB8L+BVwKnUayyeTHwTr8NF8WHiYFvG55Dcb9mP9ADrAM+5BTC08pchp+Z7bghMXtl5lsiogd4E8WHiF3A5RQfTjfUqZ2aXOPpJ33AGqALOBI4HthN8QHjYuCCzLy1bi3VZJkz6OfTR4yCc4G9yYnnk2lnvP2koecTr5xIkiRJagqOOZEkSZLUFExOJEmSJDUFkxNJkiRJTcHkRJIkSVJTMDmRJEmS1BRMTiRJkiQ1BZMTSZIkSU3B5ESSJElSUzA5kSRJktQUTE4kSZIkNQWTE0mSJElNweREkjStRcSZEZERce5kt2WyRcSV5XtxxDhe4/snqTImJ5IkSZKawmMnuwGSJE2yzwPdwF2T3ZAW5fsnqTImJ5KkaS0z7wXunex2tCrfP0lV8rYuSdNeRDy7vGd+wygxf1fG/MOgssdGxP+MiKsj4jcR8UBE9ETEWyLiUV/+RMSSiDgvIq6NiDsj4sGI+HlE/GtE/PYw8UeUdV4ZEY+LiLUR8YuIeCgiLixjIiJeFRH/HRHbI2JnRPRGxOUR8cb9fF/mRcQHImJredxfR8SXI+L4Yf5dD5b7nzzMcf69/Hf826CyE8uyiyPisHK7vXwPr4uIPx+lXU+IiP8bETeU8fdGxBUR8ZIJvocjjpko399XlMe/u3wfNkfEuRFx8DDxe8dsRMRpEdEdEf3le/Pp4d6fIfWsj4i+sp5fRsRnIuIPhomv6XezPyLi1WVfvT8i7oiIT0TE4cPEjfb+HRwR74yInwz6XX03Iv6sqnZKmlpMTiRNe5n5Q+A6YGlEHDN0f0QE8FpgD/Cxsuwg4JvAvwJHUtzWsh44DLgA+FxEDD3Hng2sKH/+b+CrQAD/E/jhcAlK6SDgO8CZQA/wJeDuct95wCXAs4GNwKXAT4FFwNtqewceLSKWlsd7I/AQ8BXgJ8AfAt+NiD8diM3MHuAdwBzgE+X7NXCc04DXATcBK4ep6gkU792pwJXA94DfLY9z7jDtOpLiPTib4n35BvBD4Djgsoh46wj/pNHew5HegwOATwKfAp5Tvu6rQBvw98C3y34wnL8GPgs8UL5mB/BnwBVDXxMRjwH+X1nP8yne988DtwAvBv5mSHzNv5v98FbgP8p2fxHoB/4c6B4pwRoqIg4Bvgu8G3gi8GXgKuC5wKcj4v0VtFPSVJOZPnz48DHtH8DrgQQuHGbfC8t9Xx1U9sGy7L+A3xpUfgjFh8UE/seQ47wA6BhSdgDwrjL+oiH7jijLE9gAPH7I/lnATuA3wFOG7Hss8PsTfC8eB/wKeBh41ZB9zwZ+DdwHzB1UHsC3yra+tSw7DLgT2AU8e8hxThz0b/sm0DZo33PK4+8GnjWo/DHApvI1bwMOGLTvqcDPyzY/o9b3sIw5s9x/7pDyt5Xl3waeNKh8BvDRct/qIa+5sizvB5YOKj+Y4oN5AmcNec05Zfn1w/wefws4YX9+N+P83Q+0/yHgRYPKD6RIghP4Qo3v37+U5VcAhwwqfzqwvdz3kkb8ffvw4aN1HpPeAB8+fPhohgfFt+H3An3AzCH7/qv8IHV6+fyJ5QfubcBBwxzrScCDwMZx1H8LcNeQssEfrJ89zGueWO77UcXvxVvK4/7TCPtXlPtXDCl/cvnh+EHgmRRXNRJ4xzDHOLHctxtYOMz+1eX+jw4qO60s++wI7Tq93P/+Wt/DMuZRH64pkrs7Ka4cdAzzmoOA28p/7+AkaeDD/XuHec3Ly30XDyqbQXEFJ4Hj6vW7GcfvfqD9nxxmXztF0rUHmDfG+9cG3F/+fp8+zLH+pnzN+ir7rg8fPlr/4W1dkgRkZj/FN8NPoPgQCUBEHErxofd24LKy+ESKb5K/npkPDHOs2ylurfrdYW7haY+Iv4yI8yPiY+VYi4vL47VHxBOGad5tWdx6NrSeOyiSmiURsToifme8/+4RnFJuLx1h//fK7XOHtOcW4A0UH7ivLI/z3xSJxkh6MnPLMOWfLre/v7/tKg37Ho7iWcChwIbM3D50Z/l7v5biVranDfP6bw5TdlO5PWxQ2bOBx1MkstfU0K79eQ/G47+GFmRmH8W/K4DfG+P1x1IkcNdl5o3D7P/Pcvu8YW5/lDSNOVuXJD3iwxRjBV5Pcf8/FPfZzwA+npkPl2VHlNvXR8TrxzjmE4BbASLiFcBHgNmjxB9C8W38YNtGif8Lig+Sq4BVEXEzxdiK/8rMr43RtpEcUW6vGjR8ZDiHDi3IzHUR8XmKhO5+4DWZuXuUY9w8Qvkvy+3gcTgD7fpkRHxyPO1i9PdwOAN1nRwROUbsocDQBOuWYeLuK7czB5XNK7dbx9mucf9uxmk8v5fhDOz/5XA7M/OeiLiX4ra1ORRXLCXJ5ESSBmTmj6OYsevEiHhaZv6UYiB8UowxGDDwTW8PxcDk0TwIEBELgIvLsrdQjEu5deDKS1nvUopvpYfaOUqbr4iIpwIvoRhUfiJFQvXnEfG5zDxjjPYNZ+Df91mK23hG8qhvxCPiMB652nEwcDQjfEDdj3Z9nWLMwkiGW29jxPdwjLp+RjFWZDTDfbDeM876ajXh300TGivpkzQNmZxI0r4+DBwPvC4ivkTx4fryzPz5oJiBb8X/OzP/ZugBRvAiiisw/5SZw81SNOFbsjLzNxRXej4FEBFdwDrg5RHxosz86jgPeQuwkGKw97W1vqicpevjFN/afxpYDlwUEb+bmXeO8LIFY5T/aki7oBiH8rla2zVBA3XdmJln1rGe3nLbWWP8hH43E7CAYvKB4cph39/LcAb2D/v7jYjforid7QHGmDVN0vTifZ6StK91FN+En0lxixfAvw+J+TbFQN+XRMSBNR53Trl91O0+EfF8oGPcLR1BZnbzyD39z5jAIdaX29PH+bq/oZjO9irgNcD/ofh3fWyU1yyJiOHGbAysg/HfFbRrIn5AMUHCCSOMA6rKtcA9wOKIqGWcSKPeg+VDC8r34RSKKx5jXU26liLxOHaE3++ry+1VmVmvq0ySWpDJiSQNkpk7gU9QzIT1SooZm74wJOZW4CKK+/8/HRGPSiwi4qkR8fJBRQODoV8dEW2D4g6nuFozbhExv1wA7+Ah5bMopi2GR76ZH49/A+4A3h4RfzV0wHIUi0/+YUQ8Y1DZ0cAainEVA+NM3gN8H3hpRPyPEeo6APiXwf+GiDgWeBPFh+APDYr9HHAD8KpyYb/BYzcGFjJ8XkQ8bwL/5n1k5oMUa8gcAlw63GQDEXF4RLymgnouKJ9+rLz9b3AdvxURJwwqGvfvZoL+NCL+cPBxy3a2AV/OzFHH8JQTTFxE8fv94JA+fyTF9MkA/7yf7ZQ0xXhblyQ92r9RTMkawCcyc9cwMW+mSE5eDpwaET0Ug67bKG4FeyrF4nUDtx99iWIdi2cDP4uIqyjWKXkBxdiVDRS3k43HEyhuo/pgRPyQ4qpMW3mcuRSLE440q9OIysHKf0IxO9m/AedExE8obr95EsVMVo+n+Pb+JxExg2KxwlnAGzLzF+VxHo6IVwM/As6PiG8PMzPXl4HFwNaI+C7FAOmTKGYve+/gGbbK451GMUXxu4E3RcQmig/rhwJLKJLKFYz9zX4tVlOsyfEaYHNE/Aj4BcXteQspfs+beOQq1US9j2Lq5dOAmyLiexT/pnkU7/V6ikkOxv272Y82fQT4Wvk7uY1ikcunUNyu9aYaj/G/gS7gZODnEfEdiv55EkVf+efMvGyU10uahrxyIklDZOZNDBrfMELMA8AfUcyWdQ1wFHAGRfJxJ8UK4m8fFL+LYqD4hygGZ7+kfM2/UHx4e2gCTd0K/C+KaXvnAy+jmOL1ZooP6CeU38yPW3lr2O9SXD34DXACxYfnBTyy0vrlZfh7KRKDdZn5H0OO81OKleEPpphla+htcH0UH2Avp0jUTqS4OvKXmfnOYdr1U4oP8udQ/I66yn/3kRRJ0BsppoTeb5m5JzP/HPgTigThKRTJ6O9R/A7/ETirgnoeLo97JtBN0YdeRrFuzJeBC4fEj+d3M1H/RPFv+63y2I+jSMKOG+uqyaB23le27e8pJin4Y4q/gR8Cr8zMN+9nGyVNQZHpZBmSNFhELKW4kvGdzDxxkpszJUXEiRRjdz5R5wHnkqQW4pUTSXq0d5TbD0xqKyRJmmYccyJJQEQcT7GmyTMoVte+jgmM15AkSRNnciJJhSMp7rG/j2KBxDdOlSlOI+JsioHdtXhrZg63iKFaTET8HvC6GsO/kJlfqGNzJKkmjjmRpCkuIq6kGJhci6dk5i/r1xo1SkScSTGbWy3+ITPPrV9rJKk2JieSJEmSmoID4iVJkiQ1BZMTSZIkSU3B5ESSJElSUzA5kSRJktQUTE4kSZIkNQWTE0mSJElNweREkiRJUlMwOZEkSZLUFExOJEmSJDUFkxNJkiRJTcHkRJIkSVJTMDmRJEmS1BRMTiRJkiQ1BZMTSZIkSU3h/wO6Y3gbC1zEeAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#bio xp (years) vs computer xp (years)\n",
    "scatterplt = expanded_backgrounds.drop([\"Respondent ID\"], axis=1)\n",
    "scatterplt = scatterplt.plot.scatter(x=\"years_experience_bio\", \n",
    "                        y=\"years_experience_computer\", \n",
    "                        color='#0097A7')\n",
    "scatterplt.grid(True)\n",
    "scatterplt.figure.savefig('figures/bio_comp_xp_years_scatterplot.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Formal education levels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# bio xp (formal education) vs computer xp (formal education)\n",
    "\n",
    "# First, set up the data categories\n",
    "degree_order = [\"highschool\", \"informal\", \"undergraduate\", \"masters\", \"doctoral\"]\n",
    "\n",
    "# add category datatypes and make sure it's ordinal\n",
    "expanded_backgrounds[\"biological_education\"] = expanded_backgrounds[\"biological_education\"].astype(\"category\")\n",
    "expanded_backgrounds[\"computer_education\"] = expanded_backgrounds[\"computer_education\"].astype(\"category\")\n",
    "\n",
    "expanded_backgrounds[\"computer_education\"] = expanded_backgrounds[\"computer_education\"].cat.set_categories(degree_order, ordered=True)\n",
    "expanded_backgrounds[\"biological_education\"] = expanded_backgrounds[\"biological_education\"].cat.set_categories(degree_order, ordered=True)\n",
    "\n",
    "#we want to just get the counts of who has which level. \n",
    "computer_formal = expanded_backgrounds[\"computer_education\"].value_counts()\n",
    "bio_formal = expanded_backgrounds[\"biological_education\"].value_counts()\n",
    "\n",
    "# in order to plot this as a bar chart, we want a df \n",
    "# with the categories as the labels and the values as rows\n",
    "both_formal = pd.DataFrame([computer_formal, bio_formal])\n",
    "\n",
    "# order based on the degree classification\n",
    "both_formal = both_formal.T.sort_index()\n",
    "\n",
    "#visualise\n",
    "barchart = both_formal.plot.bar(color=['#FFE082','#80DEEA'])\n",
    "barchart.figure.savefig('figures/bio_computer_formal_bar.png',dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# convert the formal education levels to a number in order to fake a plot...\n",
    "# there might be a better way to do this? \n",
    "levels = {\n",
    "    \"highschool\" : 1, \n",
    "    \"informal\" : 2, \n",
    "    \"undergraduate\" : 3, \n",
    "    \"masters\": 4, \n",
    "    \"doctoral\": 5\n",
    "}\n",
    "\n",
    "\n",
    "bio_numberwise = expanded_backgrounds[\"biological_education\"]\n",
    "computer_numberwise = expanded_backgrounds[\"computer_education\"]\n",
    "\n",
    "bio_numberwise = bio_numberwise.map(levels)\n",
    "computer_numberwise = computer_numberwise.map(levels)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Background - bio vs computing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "formal_scatter_data = pd.DataFrame(data=[bio_numberwise,computer_numberwise])\n",
    "formal_scatter_data = formal_scatter_data.transpose()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Years of experience"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x600 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#visualise a heatmap of formal experience bio vs computational\n",
    "\n",
    "xp_scatter_data = pd.DataFrame(data=[bio_numberwise,computer_numberwise])\n",
    "xpx1_scatter_data = formal_scatter_data.transpose()\n",
    "\n",
    "degreescale = (\"highschool\",\n",
    "    \"informal\", \n",
    "    \"undergrad\", \n",
    "    \"masters\",\n",
    "    \"doctoral\")\n",
    "\n",
    "color_scale = ['#FFFFFF','#B2EBF2', '#80DEEA','#26C6DA', '#0097A7']\n",
    "\n",
    "#color_scale = ['#FFA000','#FFCA28','#FFE082','#0097A7','#26C6DA','#80DEEA']\n",
    "my_colors_5 = colors.ListedColormap(color_scale)\n",
    "\n",
    "plt.hist2d(formal_scatter_data[\"biological_education\"], \n",
    "           formal_scatter_data[\"computer_education\"], \n",
    "           bins=5, \n",
    "           color=['w'],\n",
    "           cmap=my_colors_5)\n",
    "plt.xlabel('Biological education')\n",
    "plt.ylabel('Computer education')\n",
    "\n",
    "## This is a very hacky way to get the labels perfect 😬\n",
    "plt.xticks([1.4,2.2,3,3.8,4.6], degreescale)\n",
    "plt.yticks([1.4,2.2,3,3.8,4.6], degreescale)\n",
    "my_ticks = (0,1,2,3,4)\n",
    "tick_positions = [-0.4,0.8,2,3.2,4.4]\n",
    "norm = colors.BoundaryNorm(my_ticks, 5)\n",
    "\n",
    "def tick_to_show_5(x, pos):\n",
    "    if(pos in my_ticks):\n",
    "        return str(pos) + \" participants\"\n",
    "fmt = ticker.FuncFormatter(tick_to_show_5)\n",
    "plt.clim(-1,5)\n",
    "\n",
    "plt.colorbar(None, \n",
    "             ticks=tick_positions, \n",
    "             format=fmt, \n",
    "             norm=norm)\n",
    "plt.savefig('figures/bio_computer_formal.png',dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "frequency_of_use_order = [\" every_day\", \" every_week\", \" every_month\",\" year_or_less\", \" heard_of\",\" never_heard\"]\n",
    "\n",
    "def graph_bg(bg_counts, graph_label, file_name):\n",
    "    \"\"\"\n",
    "    Parameters\n",
    "    ----------\n",
    "    results : dict\n",
    "        A mapping from question labels to a list of answers per category.\n",
    "        It is assumed all lists contain the same number of entries.\n",
    "        Modified version of the pandas docs discrete hotizontal bar chart.\n",
    "    graph_label : string\n",
    "        A title for the graph. \n",
    "    file_name : string\n",
    "        'nuff said. \n",
    "    \"\"\"    \n",
    "    temp_working_var = {}\n",
    "\n",
    "    #format each column for the barchart\n",
    "    for label, content in bg_counts.items():\n",
    "        vals = content.value_counts()\n",
    "        temp_working_var[label] = vals\n",
    "    \n",
    "    #there are too many datatype conversions here, but it works so I'm leaving it... \n",
    "    temp_working_var = pd.DataFrame(temp_working_var).copy()   \n",
    "    temp_working_var = temp_working_var.fillna(0) #leaving NaNs makes everything break\n",
    "    \n",
    "    # it's easier to interpret when the values are sorted by commonly\n",
    "    # used values first\n",
    "    temp_working_var.sort_values(by=[\" every_day\", \" every_week\", \" every_month\"],\n",
    "                                 axis=1,\n",
    "                                 ascending=[False,False,False],\n",
    "                                 inplace=True)\n",
    "\n",
    "    results = temp_working_var.to_dict(\"list\")\n",
    "    labels = list(results.keys())\n",
    "    data = np.array(list(results.values()),dtype=\"object\")\n",
    "    \n",
    "    #this specifies the start position of each stacked bar\n",
    "    data_cum = data.cumsum(axis=1)\n",
    "    \n",
    "    category_colors =  ['#0097A7','#26C6DA','#80DEEA','#FFE082','#FFCA28','#FFA000']\n",
    "\n",
    "    fig, ax = plt.subplots(figsize=(9.2, 5))\n",
    "    ax.invert_yaxis()\n",
    "    ax.xaxis.set_visible(False)\n",
    "    ax.set_xlim(0, np.sum(data, axis=1).max())\n",
    "\n",
    "    for i, (colname, color) in enumerate(zip(frequency_of_use_order, category_colors)):\n",
    "        widths = data[:, i]\n",
    "        starts = data_cum[:, i] - widths\n",
    "        rects = ax.barh(labels, widths, left=starts, height=0.5,\n",
    "                        label=colname, color=color)\n",
    "\n",
    "        ax.bar_label(rects, label_type='center')\n",
    "        \n",
    "    ax.legend(ncols=len(frequency_of_use_order), bbox_to_anchor=(-0.035, 1),\n",
    "              loc='lower left', fontsize='small')\n",
    "    \n",
    "    ax.set_title(graph_label, loc=\"center\", pad=25)\n",
    "    \n",
    "    plt.savefig('figures/filetypes_' + file_name + '.png',dpi=300)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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KxEf4RG9l/HHAzCoDZwbzXyzugMysFb4ruzjgffyA18nOucqh+zh+EGoAy2FTpeH+XaSK8NjtU865a4EWwO3AF/juppriBzifbGZPxCo2EZFYUSJDRERERET2hbXsriTLqXuO8HnhTwevCl5rkw0zS8KPS1AY/8A/ebsO6O2cG+uc2xaxTG4tPiS6XD/DQJ19GENhz8OVUebntH6+nnB3zq11zr3gnDvXOVcfX1H5ML4CuCt+YO78CD0JnpzDMhVzmJffmJYHr1WD8RDyI/yzyekcKIrzo2rQlVVuZez1+QVjX7wcvA11L3U+/hgvZ/d4CAWV7f4F97gqUWI7E59Emgmc65yL1kVUSbhvLQ/7vcE+2P7+fOxwzs11zj3knPsHfl+OwCcUAa4xs1NiFpyISAwokSEiIiIiIkUuqBiaHrztkcOixwWvWcDUsOmh37vlsG4XCt9dbqhLo9nOua3ZLHNcNtMlZ6HP8ODsKrnNrDGF61Yq9MR31Ceni+A8nBy8HmNmUf9/NrOW7K5QzW6Mkjxxzs1zzt3G7kHh8zp4eMi64DWnY3pYEcYUGn8mHjgpn9sN/2yOyWHRY/Oz3Wwk4JMwezEzY/d9ZnK0ZfCtLrKAo4In+kMJjVcLMch3SLcghmi6svseFx5b6PP9NbuxWyia+9aubecQY04mA6EkQe8iiCdSST522QmVma/j6ZzLcs79iE/ELAom5/f+ICJSqimRISIiIiIi+8o7weuZZtY2cqaZlQduDt5+7pzbEDb7g+C1oZn1jbKu4bvcKKxQmc3NbK+n2M2sI7BX+ZInH+Ir7coB12SzzB2FLGNj8Foph2UKcx6G1q0DXJzN9u8LXleT84Di4WUm5bJIqFVQdhWt2fk1eO0ZLXlkZscSjH1RFDE55/5k90DZD5pZjq09zCxy8ON3g9ezzKxFlOWr47u5Kgp3ZJOMGsDuyu13o8zHObcQ370P+DEz2lH4Qb5D6gcx7CGINXSPm+Gc+y1sdugcbRetIt/MTsJ3k1dYG8N+r5TflYPkcOgautXMinosnJJ87LKT6z0rp2vROZfJ7uRQfu8PIiKlmhIZIiIiIiKyrzwHzMcPePqFmZ0Uqkg0s3bAl0Aj/ACrd4av6JwbD4wO3r5kZgNDlTtmVhd4E//EbXatKPLqK3xlUBrwppnVCcooY2ZnB/NzGtRVshFU/oa65LnPzG4MkgaYWRUzewy4EN/3e0H9HryeZ2Yp2SxTmPPwZ2B48PZpM7syVI6Z1TSzl9g9hspdYQNB5+YZM3vPzM4IKusJtlnezC4D+geTPsvj9kLew5/PVYC3g2sFMytrZgPw4z2sLeKYrgI2A82BH83s1PCkoJnVMbN+ZvYN8N+IdZ/DD+adBIwysx6hymUzOwyfGCqKeoutwFHAW2HHJNnMLgliAPgk+Lyz83zwenTwWthBvkM2AM+Z2b9Cxy2o8H+b3S1V7oxYZ1Tw2gZ4NpQgMrNyZnYpPhG8pghim8PuSvOLC9gq4w58kq8KMMHMzjazskG8ZmZtzWywmfUrwLZL8rHLTuie9Y/Q900UP5nZU2bWPTwhaWa1zexpfHdvAJ/vwzhFREocJTJERERERGSfcM5tAk4BluLHEPgc2GJmG/BdyhyJrzw+3zn3a5RN9AdmASnAq8AmM1uHH4D4HOBKfAUZQF4rkCNj/BMYHLw9HVhiZuvxFbPvBq9XF2TbAvhBc7/Hdz00GFhvZmvx42dcBzzA7u6FCvIZhiqXzwi2vcTMFpjZ96EFiuA8vAgYC5QBngY2BPuwjN2tNB5xzj0fZd3sJOITIB8AK8wsdG5vwlesl8EftwfzsU2cc3PwxxR8Vz6Lg/N5I35Q+2+B/xVlTM6534ET8eMhtMT34b/ZzFab2VZ8ouJ1onQR5ZzbCPTBJ7Ma4hMXm81sE/BjMO3S/ByDbITOt7Pxx2Qt/pi8gB/r4lf855yTz4GFYe+LapDv/+G7PnoR2BjEtiiIFeAB59xH4Ss4575hd0uHfwNrgs9qA/6amEn+x1fZS9Ci4o3g7f/hP5uFwTX2SB63sQToib/+6uHvq5vMbDU+wfQbcCO7x7PIjxJ77HLwGv5e1xRYZGbLg+O5IJRkw7fWuAr4juB7z8w244/hlcEyjzvnvtyHcYqIlDhKZIiIiIiIyD4TVHK2wVcMTcMPRpwEzMNXGrVxzn2QzbrLgUOA+4HZ+CfNM/AVisc6515i98DF6wsR4634pMnP+O5zEoG5wH+Ag/AV1lIAzrnN+LEpbsInDXbg+4YfC5zunLuL3V2srC/A9ocB/fAV7FuBWvhBhetGLFeY83BDsA8X4btR2gSUx1fcDweOcc7dlM/Q78cnyD7CJ+sygm2uxLdEuhDo7pzbks/t4pwbhD8mPwJb8Emkafgumk5n9wDbRRaTc24CvkXGjcA4/GdZKShrJjAMOA+4Nsq6k4H2wBB8RW0CvlL5NaAT/rosNOfcs/gK9VH4e0lWsJ93A0c453J8Cj8YT+HD4G1RDPIdsgN/ft2Ov88l4ff/G+Dk4BqJJnQ8p+MTcfH4pMBt+PGDNhdRfFfgr5tQ90z18ddY1bxuwDk3FWgF3Io/LzcBqfgE0xh8wvOt7NbPQUk/dnsJkufH4M+fVfgEToPgJzSmx7nAIPx+zMcnERPxibR3gR7Ouev3VYwiIiWVOedyX0pERERERKSEMbNm+K5PAOo75xbHMh7Jv6CrqTX4irqjgy7FREokM/sNaAs85Jwr1Bg9ZjYGP8j4vc65ewof3YFDx05E5MCkFhkiIiIiIlJa3Ra8zlASo9S6Hp/EWAtMinEsItkys+74JEYWRdetlIiIiOSREhkiIiIiIlIimVlLMxtiZkebWWrE9FeBC4JJD8cmQsmNmaWa2TtmdqKZVQqb3sDMBrO7L/on8jFQtkixMrMawBPB2w+ccwtiF42IiMiBKSH3RURERERERGIiGT8uwUUAweDMifjBv0Oecs69EWVdKRni8QOznwMQDOIMvn/8kOHAQ8Ucl0iuzOwd/JgJNfH1J5vw4zyIiIhIMVOLDBERERERKanm4QcPHoUf8DQBXzG+GHgPOM45d03swpM82AxcCXyC/zwdPkH1NzACOAs4yzmXEbMIRbJXEz9w/Bbga/xg5/NjG5KIiMiBSYN9i4iIiIiIiIiIiIhIiaUWGSIiIiIiIiIiIiIiUmIpkSEiIiIiIiIiIiIiIiWWEhkiIiIiIiIiIiIiIlJiJcQ6ABERkZJsypQpcUBSrOMQERERERERESmFtnfu3DmrsBvRYN8iIiJRTJkypRnwAFAfSIxxOCIiIiIiIiIipVEWsBoYCzzfuXPnDQXZiBIZIiIiEYIkxvOJiYkt4uPjKwDxsY5JRERERERERKQUynLO7czIyFiTmZm5GLiuc+fOv+Z3I+paSkREZG8PJCYmtihXrlxy3bp15yckJGQCyvyLiIiIiIiIiOSdZWZmxqWnpyetWLGixrZt25J37tz5L+DKfG9ILTJERER2C8bEmJCcnNymadOm85OSknbGOiYRERERERERkdIsPT29zLx58xqlp6fPAg7v3LlzZn7Wj9tHcYmIiJRWSfgxMeKDlhgiIiIiIiIiIlIIiYmJGfh8hAFl8ru+EhkiIiLZU7NFEREREREREZHCK1QdixIZIiIiIiIiIiIiIiJSYimRISIiIiIiIiIiIiIiJZYSGSIiIiKBkSNHpppZ55EjR6bGOhaR0uqMM85oaGadd+7cGetQREqs2bNnlzGzzldffXXtWMcikldPPfVUFf2ddOCoU6dOu86dO7eIdRz5ZWadr7/++n16b33hhRfSmjZt2qZMmTKdzKzz6tWr4/dleXLg0fUXXcK+2rCIiIiIiIjIgeyee+6pkZaWlnH11VeviXUsIiJSeL/++mvSFVdc0eiQQw7ZdOWVVy4vU6aMS01NzYp1XCIHAiUyRERE8smef6dzrGMIcZedOyXWMUjp1eKHP0vMuTz7iGY6l6XY3Tt/VYm5BgY1qqZrYD/03HPP1WjQoMH2/SKRsfD+knG9NLhL14qUDJNalYxrAuCQmbouismXX35ZITMzk0cffXTxkUceuS3W8ezhNSs55+QAp3NSipy6lhIREZESbePGjfp7RfYbOp/lQKdrQCR3WVlZbNq0qViule3bt1t6eroVR1kihVUSzteVK1cmAFSpUiUzlnFI6VPa/wYqCddfqT6AIiIiUvRGjx5drlu3bk0rVKjQMSkpqVPLli1bP/3001VC83fu3ElaWlqHo446qlm09Xv06NGkQoUKHbdt27brj5zJkycn/+Mf/2hcuXLlDmXKlOnUqFGjNoMGDaqRmbnn3/+hvkC/++67lEMPPbRF2bJlDzr99NMbXXrppXXj4+M7z507NzGyvFdffbWymXUeOnRopfzs58iRI1Pbt2/fMikpqVP16tXbX3XVVXV27ty51x9mv/zyS3Lfvn0bNGzYsG3ZsmUPSk1N7dilS5dm33zzTbnw5dq2bduqYcOGbaOV1b9///oJCQmdFi9erNawxWx/P58fe+yxqmbWedKkScmhaRMnTixrZp2rVavWPnzZu+++u4aZdZ43b96ucjdt2hR33XXX1W7YsGHbMmXKdEpLS+vQp0+fhuHLhCxfvjz+wgsvrFenTp12iYmJnapXr96+f//+9fPSL/Ty5cvj27Vr16py5codxo4dm5KXfZOisb9fA7B7XJaFCxcmnnLKKY0qVKjQsUKFCh379u1bPz093TZt2hTXv3//+lWqVOlQtmzZg0488cTGq1at2uu8HTduXEq3bt2apqamdkxOTu7Utm3bVi+99FLlyOVC+/XDDz+UDe1X1apVO1x99dW1w4+BmXVeuXJl4qRJk8qbWWcz61ynTp12kdsbMmRI5WbNmrVJSkrq1LBhw7ZDhgzZq0zZd/L7/f3nn3+WOfvssxtUr169fWJiYqc6deq0u+qqq+qEXyMAw4cPr9CzZ88mtWrValemTJlOVatW7dCnT5+GCxYs2OO8Dx8v5ZlnnqnSvHnz1klJSZ0ef/zxqnndh/T0dLvhhhtqNWjQoG2ZMmU6VatWrf0555zTIPLvjtAYF++++27Fq666qk7NmjXbp6SkdJo6dWpydtvOi7x+P8yePbvMqaee2qhGjRrtQ985hx12WPNPP/1015gbf//9d0K/fv3q16lTp12ZMmU6VapUqWPHjh1b6rqIndzudSG5fd+EPPTQQ9UOO+yw5lWqVOmQmJjYqV69em2vvvrq2pEVpLmdr3PmzClz/PHHNylXrtxBFSpU6Ni7d+9Ghflb+7fffksKfbclJSV1at68eeuHHnqoWvgyZtb50UcfrQ3QsmXLdmbW+YwzzmhY0DIlf/L6/RtSEv8Gyu8+HyjXX17pn2kRERHZ5Y033qh0wQUXNG7duvXWa6655u+UlJSszz77rNLVV1/dcMWKFQkPPPDAisTERHr37r32zTffrL548eKEevXqZYTWX7FiRfy4ceMqnnnmmWvKli3rAL755ptyvXv3bl6jRo0dl1122YrKlStnjh07NvW+++6rO2/evKRhw4YtCo9h+fLlZU477bTmp5122ppzzjlnTXJyctYRRxyx9cUXX6wxZMiQKg8//PDyiJirVKpUKePcc8/dkNf9HD16dLnTTz+9WVpaWsY111zzd3JyctZbb71V9ZtvvqkQZdnUadOmpZx22mlr69Wrt2PlypUJw4YNq3byySe3mDBhwozOnTunA/Tr12/1rbfeWn/06NHljj/++C2h9dPT0+3TTz9NO/roozeGHyvZ9w6E8/n444/fBP48PeSQQ9IBvv7669S4uDhWr16d+MsvvyQfdNBB6QDjx49PrVev3vYmTZrsBH9uduvWrfnMmTPLnnPOOavbtm27bdGiRWWGDh1a/aijjkqdOnXqzFq1amUArFq1Kv7www9vtW7duoTzzjtvVePGjbfPmjUrediwYdUnT55cbsqUKbNCxyjSvHnzEk844YTmmzdvjv/mm29md+rUKT2vn6EUzoFwDYT7xz/+0bRx48bpd9xxx9KxY8emvv3229VSUlKy/vzzz+T4+HhuuummZdOmTUt59913q1522WVZw4cPXxBa9+uvvy7Xq1evFqmpqRmXXHLJigoVKmS+//77VS655JLGK1euXHzHHXesDC9r5cqVib17925+yimnrD3zzDPXfvnllxWefvrpWo0aNdpx3XXXrQZ49tln59922231q1SpsvPGG2/8GyCyH/Vvvvmm4jvvvFN1wIABqypVqpT5+uuvV7300ksbH3roob+3b99+e36PgeRffr6/Z8yYUaZr166tEhIS3Pnnn7+6du3aOyZPnlzuueeeq/nbb7+V/fbbb+fGxfnnRV977bUqO3bssAEDBqyqVq1axuzZs5Pfeuutat27dy8/Y8aMP1JSUva4Z44aNarSsGHDEgcOHLiqVq1aO1q2bJnnz79Xr16Nv/nmm0rHH3/8+n//+98rZs+enTxs2LBqP/zwQ+rUqVNnVq1adY9ar7vuuqtOQkKCu/TSS1fExcW5atWqFfjJ8rx+P2zfvt169uzZfPPmzfH9+/dfVb9+/e2rVq1KnDx5crnJkyennHLKKZsATj311CYzZsxI6d+//8pmzZptX79+ffyvv/6a8sMPP5S/+OKL1xU0TimYvNzrIG/fN6Fln3vuuRqHHnro5pNOOmlDSkpK1oQJE8o/++yztRYvXlzmo48+WhAZQ7TzddWqVfHdunVrsXbt2sT+/fuvbNSo0fZRo0ZV6tmzZ9QK6dz88ccfSV27dm2VkZFhAwcOXFmrVq2dI0aMqHT77bfX/+uvv5JeeumlJeDv6x9//HHl0aNHV7r33nsXV61aNaN58+a6VxejojwnY/E3UKz2NbRsSbz+8sOci/r/hoiIyAFpypQpZYHxycnJrVq2bDkrPj5+ry/K/XWMjM2bN1u9evXaH3TQQVu+/vrrXf+IA5x44omNx44dW3Hx4sXTq1atmvnNN9+UO+6441ref//9i++8885dlTuDBw+uevPNNzcYOXLk7JNPPnlzVlYWLVq0aJOUlJQ1adKkPSo6L7nkkrpDhgypMWXKlD9CFa116tRpt2zZsjJPP/30giuvvHKP/sQ7duzYcv369QkLFiz4PTRt8eLFCY0aNWp//vnnrxo6dOjivO5rhw4dWv75559lf/vtt99Dlbrr1q2La9u2bZtly5aVGTFixJxevXptAv/EemTF099//53Qpk2bNieeeOL6t956ayHA6tWr4+vWrduhT58+a95+++2FoWWHDh1a6YILLmgydOjQeQMGDFif1xiLw/48RsaBdD5Xr169fadOnTaPGjXqL4Djjz++SWZmpv3000+pgwYNWnLzzTevyszMpFKlSh3/8Y9/rHv33XcXAtx11101HnrooTqjRo2afdxxx+2qvJs4cWLZo48+uvWll166/Nlnn10K0K9fv/off/xx2o8//jizTZs2u/5hf/vttyv27du36f/93/8tvOmmm1aDfzr+ww8/rLJjx44pM2fOTDrppJOaJyYmuq+++mpO8+bNd+R1v4rD/jxGxoF0DYTOuQsvvHDlyy+/vGu9Vq1atZ49e3bZk046ad1nn332V2h69+7dm06YMKHCmjVrplWoUCELoH379i3//PPPstOmTfujRYsWOwC2bt1qnTt3brVgwYKkRYsWTQ9V9ob269VXX503cODA9aHttmzZsnViYqL77bffZoam1ahRo32DBg22//zzz7PDY549e3aZli1btktOTs6aPn36H82aNdsROgZNmjRpf+GFF658/vnnl+T1GBSL/XSMjPx8f3fv3r3pnDlzyv7yyy8zatSosavy/z//+U+1O+64o/4HH3zw5xlnnLERov/98Nlnn5Xv1atXi+eff37+pZdeuhZ2nwsJCQnul19++aNt27b5qhR97733KpxzzjnN+vbtu+rNN9/cVYn20ksvVb7kkksaX3755bvu5U899VSVa665pmGTJk3Sp0+fPiMymZKb0Prhfyfl9fvhhx9+KHvkkUe2fvnll/+68MILoyYk1qxZE1+1atWOd95555L7779/RbRlSpT9fIyMvN7r8vN9A9GvjRtuuKHWE088UXvu3LnTGzVqtBNyPl8vv/zyOs8991zN119/fV6/fv3Wg++S7R//+EfjL7/8svJ1113392OPPbYsr/t68sknN/7iiy8qjx49elaPHj22AGRmZtKjR4+m48aNqxj+3Xb99dfXfvzxx2vNmjXrt9D3RYmxn4+RsS/OyVj8DRSrfYXYX3+ZmZk2a9aslunp6TOBrp07d87XODPqWkpEREQA+OSTTyqsX78+YcCAAatXrFiR8Pfff+/6Oemkkzakp6fHff311+UBevTosaVevXrb33///bTwbbz33ntVatasueOkk07aDDBp0qSyc+fOTT7nnHPWrF+/Pj58myeffPIG5xyjRo1KDd9GhQoVMv/973/v9cdev379Vi9cuDDp66+/3tWl08svv1wlMzPTLr744jz/cbh48eKE6dOnlzvllFPWhpIYAJUrV84aMGDAqsjlw//Q27RpU9zy5cvjATp06LBl2rRpu7rIqVq1auYJJ5ywbuTIkZW3bt26q2nu66+/XrVSpUoZ55xzTr6fLpaCO1DOZ4DDDjts088//5yalZVFVlYWkyZNSj3mmGM2durUafO4ceNSASZOnJiyefPm+KOPPnpTaL3hw4entWnTZmubNm22h+9Lo0aNdtavXz997NixFcD/YzJixIi0rl27bkxLS8sMX7Z79+5bypYtm/Xtt9/u1Zpp4sSJKcccc0zLChUqZE6YMGFWSUti7O8OpGsg5Jprrtmj1cQhhxyy2TnHZZddtse9/dBDD92SkZFhc+fOLQP+e+G3334r17t377XhlVIpKSnuiiuuWJGenh73ySef7HGOV61adWd4xQLAEUccsWnx4sVJ+Yn5uOOOWx9KYgDUq1cvo1GjRunz58/P13ak4PL6/b169er48ePHVzz55JPXZWVlWfj536tXr40AX3311a7zJPT3Q1ZWFmvXro37+++/Ezp16pSempqaOWnSpL262OvWrduG/CYxAD755JNKAPfee+/f4dMvuuiidXXr1t0+atSoSpHr9O/ff1V+kxjR5Of7ITSewOeff15x7dq1UeuiypUrl1WmTBk3duzYCkuXLlUPIiVAXu51+fm+gd3XRkZGBqtXr47/+++/E4477rhNWVlZTJw4ca9rI9r5OmrUqEr169ffHqpEBYiLi+Omm27KdwIsIyOD7777ruJhhx22KZTEAIiPj+eWW25Z7pxj+PDhFfO7Xdk3ivqcjMXfQLHaVyh5119+6YtBREREAJg5c2YywMCBA5tkt8yKFSt2/e1w+umnr33yySdr/fHHH0lt2rTZPnfu3MQpU6aUv/TSS5eHngT57bffkgHuvvvuenfffXe9aNtcuXLlHn1F161bd3t8/N5d7l944YVr77rrrnqvvPJKldDT42+//XaV5s2bbzvqqKO25nU/58yZkwTQokWLvbq3ad269V7T1q5dG3f99dfX+eyzzyqvXr16j1jr1KmzR8XsxRdfvHrEiBFpw4YNq3TJJZesW7p0acK4ceMq9OvXb1VycrKawRajA+V8BujWrdumkSNHpk2ZMiU5IyPDNmzYEH/cccdt2rZtW9xLL71UHXx3UwA9e/bclciYP39+cnp6elzt2rU7RNturVq1doBvgbRhw4b4L774onLt2rWj9lEeeW0AnHzyyS0qVqyY8f3338/WgJjF70C6BkLCEwIAlSpVygBo3Lhx1Omh/vtD3wutWrXa6zugffv22wAiEwuR93+AypUrZ27YsCHXMWPC1a9ff6/tVKxYMXP9+vX52o4UTl6+v3/77bekrKwshgwZUmPIkCE1om1n1apVu66p6dOnJ9144411J0yYUGHr1q17VNxv2LBhr7qYRo0aFah7mkWLFiWlpKRkNW3adGf49Li4OJo2bZr+ww8/7JVobtq0aZF0hZOf74fmzZvvuPLKK5c/++yzNT/55JO09u3bbzn22GM39u/ff227du22AyQnJ7v77rtv8Z133lmvfv36HVq1arW1W7duG/v27bu2S5cu+XpqV4pGXu51+f2++eCDDyo8+OCDtX///feUjIyMPfrlX7du3V7XRrTzdenSpUldunTZGDm9Y8eO+e6+ctmyZQnbtm2La968+V7nWGh7Si6XHPvinCzuv4Hy6kC4/vJLiQwREREBwDlnAP/9738XNW/ePOofIeF/nFx44YVrnnzyyVpDhw5NGzx48N9Dhw5Nc84xcODAtWHbBOC66677O/xJ8HCRFU/Z9R1auXLlrJNOOmndyJEj07Zu3br4l19+SZ4zZ07Ze+65J8/djxREnz59Gn///fcV+/Xrt7JLly6bq1SpkhkXF+f++9//1lq0aNEe/9T06tVrU506dXa88cYbVS+55JJ1Q4YMSQueLl6d3fZl3ziQzucTTjhh00033cTo0aNTs7KyrGLFipmHHXbYtq1bt8Y99NBDdX755Zfk8ePHp9apU2dHeEWXc846duy4ZdCgQUujbTfUZD4ry+/Ccccdt/6KK65YGW3ZtLS0vRIVvXr1Wvvuu+9WffLJJ6ved999Jb+LkP3MgXQNhCQkJERNGGc3PXSMCiJa15NFuZ3CxCb5l5fv79Bn0rdv31VnnXVW1K6R6tatuxP8QxDHHntsy4yMDLvyyiv/btOmTXpqamqWmbkLLrigcei+Gq5s2bL56ju9MFJSUoqkrPx+Pzz99NNLL7300tXDhw+vOH78+NRnn3225hNPPFHr8ccfXxjqeuWWW25ZdeaZZ67/4IMPKo0fPz512LBh1Z577rmaN99889LIMXVk38vLvS4/3zdff/11uXPOOadZkyZNtt13332LGzZsuKNs2bJZixcvLnP11Vc3jHZtFNX5KvuHoj4nofj/BsorXX97UyJDREREAGjWrFk6+CdVTzvttKh/nIVr37799jZt2mz94IMP0gYPHvz3+++/X6VZs2bbDjvssF1PM4UGqkxOTs7KyzZzc/HFF6/+8MMPq7z55puVfvjhh/Lx8fHu4osvXpv7mruFBuSbPXt2cuS8GTNm7DFt9erV8ePGjat4xhlnrInsr/3ee++tE7l+XFwc55577uonnnii9oIFCxLffvvtqs2bN9+mpwiL34FyPodir1at2s5x48alZmVl2SGHHLIpLi6Oo48+ektKSkrWl19+mTp58uTyPXv2XB++Xv369dPXr18fn9u+1K5dO6N8+fKZ6enpcfnZ79dee20RwP333183ISHB3X333VEruWTfOJCugcIKfS+EnmoMF3oCs0mTJgV6gt1M+YjSIC/f361atdpuZjjnyO38//zzzyusWbMm4amnnlpw1VVX7epWZPPmzbZx48YirYepX7/+9u+//77C3LlzEyNbZcybNy+5bt26+2wg4oJ8P7Rt23Z727ZtVwIrV61aFd+5c+dWDz74YO3wPuSbNGmy85Zbbll1yy23rNq8ebN169at+SOPPFJ70KBBK8L7pZeSIT/fN2+//XZaVlYWI0eOnBve5eSHH364V8uhnNSpU2f7X3/9tdc9e9q0aXtNy03t2rUzypYtmzVnzpyykfN+/fXXZIDGjRtrQO9SpDT8DVRUSvv1l18aI0NEREQA6NOnz8ZKlSplDB48uPaGDRv2+hth2bJlCZFPaZx99tlrFixYkPzMM89UmTNnTtmzzjprjwqoI488cmujRo3SX3zxxRqLFy/e6x/3devWxYX3R52bk046aXP9+vW3v/rqq1U//vjjtO7du2+oU6dORj52k3r16mW0a9duy6effpo2b968Xc1/161bF/faa69VC182Pj7emRmR+z1q1Kjyv/76azmiuPTSS9c457jqqqvqzp49u+x5552n1hgxcKCczyGHHXbYpp9++il10qRJ5UNPiSUmJtKpU6fNL774YvVNmzbFd+vWbY9/bs4444y1CxYsSH7qqaeqRG4vKyuLZcuWJYDvI7p3797rJkyYUGHEiBGpkctmZGSwYsWKvdrNx8XFubfeemvhmWeeuWbQoEH1HnzwweoF2TcpmAPtGiiMevXqZbRv337LiBEj0ubMmVMmNH3btm32v//9r0ZycnJW79699+pCIS/Kli2b7+6mJDZy+/6uVatWxpFHHrnxo48+qjJ16tS9Kmu2bdtmobEfQk/RRl5j9913X81oT7wWRp8+fdYH264VPv2VV16pvHjx4qQTTzxxfZEWGCY/3w9r1qyJ3759+x73h2rVqmXWrVt3Ryi5s2nTprhNmzbtcb8qX768a9q0aXpmZqZFu5dJ7OXn+ybatZGZmcljjz0Wtbu27PTs2XP9woULk954441KoWlZWVkMHjw4X9sBSEhI4Nhjj93w008/pX733Xe7xgjIzMzk//7v/2qaGaeffrrGuitFSsPfQEWltF9/+aUWGSIiIgJAxYoVs55++umFF1xwQeMWLVq0Peecc1Y3aNBgx8qVKxN+/fXXlG+++abSli1bpob6CQUYOHDg2vvuu6/erbfeWt/M9mh+C/4f3Jdffnl+7969W7Rr167tueeeu7pZs2bp69ati//jjz/Kfvnll5V//vnnGfkZ3LJv376rH3744ToAAwYMKNDgaYMHD17Sq1ev5l26dGk1YMCAlUlJSe6tt96qWrFixYxly5btqsSqXLly1uGHH77pk08+qdKvX7+sjh07bp05c2byu+++W7Vp06bbtmzZslflVLNmzXYcccQRG0eOHJmWkJAQk6eL5cA6nwG6du26eeTIkWkAxx133Kaw6ZseeuihOuC7oApf5+67714xevToitdcc03DL774ouKRRx65OTEx0c2fPz/pyy+/rHTKKaesfeqpp5YBPP7440t+/PHH8n369GnWp0+ftZ06ddqSmZlpc+fOTfriiy8q33LLLcuuv/76vZJ2cXFxvPPOOwvOOuss7rzzznoJCQnulltuWRW5nBS9A+0aKKxHH310ca9evVocddRRLQcMGLAqNTU187333qsyY8aMlAceeGBxtWrVCjTOS/v27beOGDEi7YYbbqjVvHnz7ampqZl9+/ZVhVgJlJfv7xdffHFht27dWnbp0qXV2Wefvbpt27bbtmzZEj9nzpzkzz//vPLQoUPnnXbaaZuOO+64zZUrV864++676y1atKhMjRo1MsaNG5c6derUcqExWorKmWeeubFHjx7r33jjjWorV65M6N69+6Y5c+Ykv/HGG9Xq1q27/Z577tmn3THl9fvh888/T73uuusanHTSSetatGiRnpycnDVu3LjUH374IbVv376rwI9D0rNnzxYnnXTSutatW6dXqFAhc8qUKSkffPBB1a5du26sWbOmxlsqgfLzfXP66aevHzJkSI2TTz652cCBA1dlZWXx0Ucfpe3cuTNfFcCDBg1a/tFHH1W5+OKLG48fP35lo0aNtn/xxReVVq9eXaB6zv/+979Lx48fX6F3794tLrjggpU1a9bc+dlnn1X64YcfUi+++OIVBx100D7v+1+KTmn5G6i497WkXn/5oUSGiIiI7HL++eevb9CgwawHH3yw5rBhw6pt3LgxvnLlyhlNmzbddu+99y6OHKysfv36GYcddtjGiRMnVjj44IM3R/YLCnDMMcds/eGHH2bcc889tT788MO0devWJVSsWDGzQYMG6TfccMOyhg0b7rVOTi699NI1gwcPrlOhQoWMs88+u0CVQT179tw8fPjwP++44466TzzxRO2KFStmnHPOOWuOPfbYTaeffnqz8GXff//9v6644op6n332WeUPPvigSsuWLbcNGzZs3uuvv17lxx9/3OvpQ4ABAwasnjBhQoXu3btvqF27drE/XSzegXI+Axx//PGbbrnlFkLjY4Sm9+jRY9NDDz1E7dq1d4Q3IQc/Bsb48ePnPPDAAzU++OCDtO+++65SQkKCq1Gjxo6jjz56Y79+/Xb9A1ejRo3MSZMmzRo0aFDNkSNHVv7000/TkpKSsmrVqrWjT58+a3v16pXt0+rx8fG8//77C04//XS77bbb6sfHx7sbb7xRLZWKwYF0DRTWcccdt+XLL7+cddddd9V57rnnamZkZFjTpk23vfDCC39dcsklUcdDyItHH310yfr16+NfeOGFmlu2bImrXbv2jr59+/5WlLFL0cnt+7t169Y7Jk+ePPPuu++u+fXXX1d66623qpUvXz6zTp06Oy688MKVoftvtWrVMj/99NM/b7zxxrovvPBCzbi4OHf44Ydv+vbbb2f36NGjRVHHPXLkyL/uuOOOmu+//36Vb775plLFihUz+/Tps+aRRx5ZWrVq1X1a+Z/X74dDDjlk6/HHH7/++++/Tx0+fHiVuLg46tatu/2+++5bfOutt64EaNy48Y4zzzxzzYQJE1K/+OKLyhkZGVarVq0d11577bJBgwZprKUSLK/fNyeeeOLmF1544a/BgwfXevDBB+tWqFAho1evXusuv/zyVYccckibvJZXs2bNzDFjxsy64oor6g0bNqxaQkKC69at24Y333xzfv369TvkN/42bdpsHz9+/MxbbrmlzhtvvFFt69atcQ0aNNj+4IMPLrr11lv1AEYpVBr+Bioqpf36yw8LDVYiIiIiMGXKlLLA+OTk5FYtW7acVVSDeUrRWbp0aUKDBg3aDxgwYNXLL7+8Twf6LqjXX3+90oABA5q88cYb884///z1sY5HSq7ScD6L7Eu6BqQk0fe3iIjIvpOZmWmzZs1qmZ6ePhPo2rlz53yNJan+BUVERKRUefbZZ6tmZmbapZdeWmKf6H7ppZeqValSJeOss85S9yGSo9JwPovsS7oGpCTR97eIiEjJpa6lREREpFR46623Ks6dOzfpqaeeqtW1a9eNhx566B5Pb2RkZOwanDg7CQkJ7KuunjZu3Bj3zjvvVJw8eXK577//vsLtt9++NCkpSS16JKqSfj6L7Gu6BqSkKKnf32vWrInfsmVLjv2Wp6WlZZYvX77QsS5btiwhIyPnS6l27doZCQmqQpLSZdGiRbmetPXr19f3iBSLzZs329q1a/caYzFcuXLlXJUqVTQeUDbUtZSIiEgYdS1VctWpU6fd6tWrEzt16rR52LBh85s0abIzfP7s2bPLtGzZsl1O26hdu/aOpUuX7pO+yUPllytXLqtXr15rX3vttUUloSJESqaSfj6L7Gu6BqSkKKnf32eccUbDDz/8sEpOyzz55JMLrr766jWFLatOnTrtli1bVianZWbNmvVbixYtYtL/u0hBmVnn3JZxzk0pjlhEnnrqqSrXXHNNw5yWOf3009cMHz58QfFEVPwK27WU0ukiIiJSKuRWWVWvXr2dH3300ZyclklJSckq2qh2a9GixQ79IyR5VdLPZ5F9TdeAlBQl9fv79ttvX96vX78ckxQHHXRQelGU9eqrr/61devWHLser1ev3s6c5ouURLl9j4gUp1NPPXVj/fr1czwnda/NmVpkiIiIhFGLDBERERERERGRoqXBvkVEREREREREREREZL+lRIaIiEj2chxgUURERERERERE8qRQdSxKZIiIiOxpO7ATyMzIyIiPdTAiIiIiIiIiIqXdzp07E4AswAE78ru+BvsWEREJ07lz56wpU6YsyszMrLdkyZI6derUWZqYmJiJ/6IVEREREREREZG8sczMzLht27Ylr1y5snpmZuZ64KfOnTtn5ndDSmSIiIjs7c6dO3c+v2XLlhbz5s1rBKhlhoiIiIiIiIhI/mU553ZmZGSsyczMXAy8VJCNmHN6wFRERCTSlClTmgH3Aw2AxBiHIyIiIiIiIiJSGmUBq4GxwPOdO3feUJCNKJEhIiKSgylTpsQBSbGOQ0RERERERESkFNreuXPnrMJuRIkMEREREREREREREREpseJiHYCIiIiIiIiIiIiIiEh2lMgQEREREREREREREZESS4kMEREREREREREREREpsZTIEBERERERERERERGREkuJDBERERERERERERERKbESYh2AiIiIgJktB1KAxbGORUREREREREQkTD1gq3OuZqwCMOdcrMoWERGRgJltTEpKSm3SpEmsQxERERERERER2WXevHls3759k3OuQqxiUIsMERGRkmFxkyZNWv/xxx+xjkNEREREREREZJc2bdowY8aMmPYgoTEyRERERERERERERESkxFIiQ0RERERERERERERESiwlMkREREREREREREREpMRSIkNEREREREREREREREosJTJERERERERERERERKTEUiJDRERERERERERERERKLCUyRERERERERERERESkxFIiQ0RERERERERERERESiwlMkREREREREREREREpMRSIkNEREREREREREREREosJTJERERERERERERERKTEUiJDRERERERERERERERKLCUyRERERERERERERESkxFIiQ0RERERERERERERESiwlMkREREREREREREREpMRSIkNEREREREREREREREosJTJERERERERERERERKTEUiJDRERERERERERERERKLCUyRERERERERERERESkxFIiQ0RERERERERERERESiwlMkREREREREREREREpMRSIkNEREREREREREREREosJTJERERERERERERERKTESoh1ACIiIuLNWLcBe/6dWIchIiIlQPMOnWMdQqH0rVkp1iGISBEYFPd8rEMQEfHG3B3rCA5s62MdgFpkiIiIiIiIiIiIiIhICaZEhoiIiIiIiIiIiIiIlFjqWkpEREREYmvBPBg9AubNhk2bICkJateDI7vDEd3ALNYRipR66bN+Z+vPE0ifOZ30GdPJWLUCgOYT58Q4MilNXv3naSz8aWK288979R2adTu2GCMSkZJs1Zot/Pf58Yz4ZjaLlm6gbHIiDetWokeXxgy+vWesw5NSYFv6Th763zjeGfE7ixZDWnk4sR3cfzrUqRzr6LK3dTt89TuMmAbf/wkLV0N8HDStAWccDNf3hPLJsY6y9FEiQ0RERERiZ+pP8PJTkJUF9RpB05awaSPMne0TG7N+hwuvjHWUIqXemlefZcv4b2IdhuwnWp3YizLlyu01vUKNmjGIRkRKoim/LaNn/9dZs24rbZpX59TjW7Jx83Zm/LmKx1/+QYkMyVV6+k6O/eer/PjLEmpVT+XUTrBgNbw6HkZOgx/vgsbVYx1ldG/9CP961f/eqjacchBs3AYT58Kgj+DtH2HsbVC9QmzjLG2UyBAR2Q+Y2UDgVeBe59w9sY2m9NHxE4mRzEx45xWfxLjgSji0y+55fy+FR++BSROgyzHQok3MwhTZH5RtexBJTVuS3Kodya3aMf+MY3A7dsQ6LCmlTrj9HirXrR/rMESkhFq1ZgsnDnidbek7+eSlvpxyfMs95v88bUmMIpPS5IFnxvLjL0s4olM9vnqjP+UnPQjAY6PghnfgwpdhzG0xDjIbifFwSXe49gSfyAj5ez2c/Dj8shCufQveuixWEZZOGiNDRArEzLqbmTOzobGORWRfMbOhwXnePdaxiOyXli/zrS9q1N4ziQFQqw4cepT/feG84o9NZD+T1u8Sqv7rGsofdSwJVarFOhwREdmPDXr8W1av3crg23vulcQAOLRj3RhEJaXJjh0ZPPPazwA8e18vypdL2jXv+hOhfT0YOxumLIhRgLkYcBS8MHDPJAZArUrwbD//+4eTYUdGcUdWuimRISKyf/gIaAU8E+tASikdP5FYSMxj4+Byqfs2DhEREREpEtvSdzLs4+mUSynDBWcdFOtwpJSaMHkRGzal06RBGge1rbXX/DMP9q8jfinmwIpAh3r+dXsGrNkc21hKG3UtJSKyH3DObQA2xDqO0krHTyRGqtaAajVgxTL4ecLeXUv9/D2klIOOh8QuRhER2csv773F1nVrsbg4qjRqQsvjT6JSHT1hLSIwefpSNm3ezlGH1KdsciJffDeH0d/PI317Bs0bVeHsXm2pXUMDA0jOfp25HIBOUZIYAJ0a+NfppbCXsr9W+dfEeEjbe7gpyYFaZIjkgZnVM7OnzGyOmW0zs7VmNtnMBplZhYhlU8zsLjP7PVh2g5mNM7Nzs9n2AjNzwe9XhK0338xuNjML5nUysxFB2ZvN7BMzaxBle7u6wjGzk8zs+2D5dWb2oZnt1a7TzO4J1hmYW4yhMoDvgrcDgnVDP/dEOXbPmNk8M0sP4h9pZkdGKWdXd1VmVtPMhpjZEjPLMLNro8WWm7yWb2YdzWx7MH+v/8LM7KUgtheyibdW8Loi+Pymmln/HOJKM7OHzGxG2HnyrZn1irJsw6CcMWZWwcweC86PnWb2RLDMwGjHP5hnZvbPYPvrguMwM/jcU6IsPybYVkMzO83MfjSzLcGxeTva8YkoZ7SZrQnKWWBm75lZjyjL5/ncyK8g9rfMbFUQ+2QzOzf8WEYsv9fxC875AcHb7yLO84aFjVFEgLg4GPBvKFsOXn0G/nM7DHkKHr8fHrgFKqXBtXdAufKxjlRERMKMe+YxJr85lElvvMKo++7gqWMPY+zTj8Y6LBEpAWb86Wtpq1cpz2n/eot/XDCMx1/+geeGTeK6+0fRtNuTvP3J9BhHKSXdomX+OcO6NaMnveqm+deFq4sroqLz5Ff+9cR2kJQY21hKG7XIEMmFmXUFPgUqAQuAEUBZoCVwD/AJMC1YNhVfwd8ZWAWMBMoBxwJdzewI59w12ZTzOHBpsP58oBvwX6CcmX0FfAXMAkYDnYBTgDZm1s45ty3KJs8C/g1MDmJuD/QBjjWzbs65Xwt4SAC+B2oCPYF5wfuQaWH7dATwGVAZmB38Xi1Y70QzO885926U7VcDJuHvUd8DycDW/AaZn/Kdc9PM7A5gMPCamR3nnAslmE4DLgbmANdHKSoN+BFIAsYE5R0TbKdx5ODRZtYc+Bqohz+nvgRSgcOBEWZ2k3PukSjllAXGAg2C16nAulyOQRwwDPgnsBl/PqwDDgYGASeZWfdszqHLg/0dD3wOHAacC3Q2sw7h65hZPPA2/rzbAUwAVgT7eDJQBvgmbPmCnhu5MrOmwMRge3Pxx7o28BbwVD429RpwFNAE/xktD5unBqAiRaVJC7j+LnjhMVg83/8AJCRAq3a+1YaIiJQIDQ49nE7nnEe9ToeQWr0GG5YtY8YXIxj37ON89/h/SSqfyuEXXBLrMEUkhtZt8P8mfvr1LOLj4nj2/l6c9Y82bN22k2de/4lHXpzAgBs/olXTanRsE/1pe5HNW3cAkFI2ek1/aMiMTenFFVHR+PxXeHm8b41x/+mxjqb0USJDJAdmlgYMxycxbgIec85lhc0/AlgWtsp/8EmM74BTnXObguVa4iuerzaz0c65kVGKOxto55ybF7bONOBGoD9wg3Pu+WBeGeALfILkXODVKNu7HLjEOfdSsI4BDwG3AEOBAndW6ZwbYmZz8ZXO3zvnBkYuY76lynCgAnC+c+7NsHkH4xMzQ8zsW+fcqojV/4Efs6Cvc65AX0sFLP9R4CT8cb0BeMTMagEvATuB85xzW6IU1xufYOoTmm9mhwDfAneZ2afOuanB9HjgA3wF/83Ao6FzKqiA/wp42MxGOed+jyjnUOAHoLFzbn0eD8UN+CTGGOCfzrnlQVllgP8BF+ETGrdGWfcKoKtz7odgnZRgP48MtvlK2LK34ZMYM4Bezrn5oRlmVhHoGPa+MOdGXjyPT2I8D1zpnMsMtt0Tn9TLE+fcQPOtj5oADzvnxhQgFhHJzaQJ8PoL0KgpXHQV1KoLG9bB6M/g689g9gy46V5I1ONKIiKxdux1e/7JWLVxE46+4lpqt+/AsAHnMObJwXT+Zz8Sk8vGKEIRibUs/zwgGRlZPHhrDy7vd+iueYNv78nCpet5/7M/GPziBN588sxYhSlS7GYtg/NfBOdg8DnQoX6sIyp91LWUSM4uxleIjnLOPRKexABwzv3gnFsJYGbl8JXCWcDloSRGsNws4IHgbdQWGcDdoSRG2DqfAynAklASI5i3A3gyeNstm+1NDCUxgnUccBewBOhoZkfluOeFdyFQC3givKI6iGUycD9QHjg/yrrbgasKmsQoaPnBMRqAb7HwoJkdhE/6VAXuDdaLJiuId1eSwzk3CXgWf5+9PGzZ3kA7YLhzbnD4OeWcm4tPPMQD/8qmrKvzmsQwswR8smQLcG4oiRGUtQO4Ct/K4JKg5Uakx0NJjGCdrcBjwdujw8opE8QNcGF4EiNYb4NzbmzYpMKcGzkKkkE9gPXATaEkRrDtL4H38rvNomZmf0T7wSdMRA4sK/+G156D8qlw+c3QsCkkJUP1WnDexdCuk2+hMXFMrCMVEZEcNO16DLXbdSR94waWTJsa63BEJIbKpyTt+v2CszrtNf+CM/0zlWN/WlBcIUkpVD6lDABbt+2MOn/Ldv+amlxcERXO0nVw4qOwbgtc3xOuOSHWEZVOSmSI5Oy44PWFHJfyOuO7/pkaJCEivRG8dsmm0virKNP+ysO87NpivhM5wTm3E98aAKBrNusVldBt+cNs5o8PXg+NMm+qc25pLMp3zi3Bd/FVBt+K4QR891YP51DWNOfc7CjT3w5ew491YY7L3zkkU6LphE/CTHTOrYicGXQNNQXfvVOzKOtHO+/mBK/h593B+FZLvzrnfspDXIU5BrkJjRQ8yjkXrfunAnVXJSL7yOQfIDMTWneA5Cj/hXQ+3L/OnVm8cYmISL6lNWwMwOaVe/3ZKSIHkAZ1KgK+S6BqVfYeybhhvcoArFwTrbMDEa9+bX8eLVm+Mer8JWv9a4OqxRVRwa3dDCcMhoVr4IKu8EjUEXQlL9S1lEjO6gWv83JcyqsdvC6INtM5t97MNgAV8RXHayIWiVZxvzkP85KizANYmM30UHy1s5lfVBoGrxN8r1bZiva1syiW5Tvn3jezj/BjimwF+oU/2R9Ffo51KK43zWyP1gi5xUX+j0uorOMtbLD2HMqLTMYsibJcqKVR+HmXn+skPK6CnBu5CSVYFmczvyjOrUJxzrWJNj1oldG6mMMRia11wX8gZbPpgiTUNclW/aMrIlLSpW9cD0BiSkpsAxGRmDooGPdiW3oG27dnkJS0Z9Xj2vV++MvQE/ci0XRoVROAqb//HXX+1KAWpn3d4oqoYDanw0mPwYxlcHpneOkCyLkaRHKiRIZI8cq2Mjmy26oIOc0rDgVpvRVa5wN810bZidZ6pSiGaypw+cG4GKFWFCn4yuUFRRBTeFyj8INhZ2d1lGn5PS6hsubiB9/OSWRiDfbdeVeYc0NE9icV/JNWLPor+vyFwfQq1YonHhERKZAta1azcNKPANRq0z7G0YhILNWvU4kOrWry68zljP1pAScc3XSP+aEupQ5qUzMG0Ulp0eXg+lRMTWbewrVM++PvvQaG/yDoq6J3gUd/3fe274RTn4Sf/4KebeHtf0O8+kYqFCUyRHK2GGiJ77v+t1yWDQ363SDazGDA40rANvwYDPta1DjCpocPUr4jeC0fuXAwOHVB/sJYArTAD5I8pQDrF1aByg8GRX8V3xrgbfwg7K+YWbscBp7Oz7EOtXIY4pwbnte4CihU1qxoA7IXoVDrh7yO8bAvz43Q4xr1spmf3XQRiYUOB8PnH8Kfs2DsaOh2/O55f/0J337ufz/osNjEJyIiuyya8jNb1qymRY+exMXH75q+bskiPrzucnZu3UqL406kYq193fBbREq6my87ivOu+YAb//MlX7asQa3qqQBM++NvHn1pIgCXnXdILEOUEq5MmQSuHHAoDz4zjivuHslXbwwg1FHZY6Ng+mLo1gI6N4xllNnLzIJ/Pg/fzoSuzeHDq6CMauELTYdQJGdfA8cDlwAf57LsFHySorOZNXPO/RkxPzRw8YRcWl8UlbOBp8MnBIM/nxG8/T5sVqjyt3mU7RwDJEaZHkp+ZHcfGY0fdLkP/tgUt4KWfxXQE9+CoR/wJ3A38DJwSjbrdMzmMw/1fBh+rEfjB4XvA+zrRMYkYAPQzczSnHNr91E5U/CDa3cws0Odcz/nsvy+PDcmBq89zaxc+ADsgbPzub3cznMRKYz6jeC4XvD1SHjnFRj7FdSqAxvWw19zwDk4qge0ahfrSEVKvc0TvmPt0P/teu92+sEzF/3rrF3T0gZeTvkuxxR7bFI6rJn/F5/cfDXlq1WnVpv2JFeowPqlS/j79+lkbE+nWvOW9P7Po7EOU0RKgL6ntuercXN5bfg0Wh/3NEd2rse29AwmTlnM9h0Z/OufnTnr5LaxDlNKuDuv7MbX3//FxCmLadb9Sbo2hIWr4ae/oFoqvHJRrCPM3jNfw0dBbUfVVLj89ejLPXKuny95owYtIjkbgu/i5yQzu9YiOvQ3s8PNrDpAUGH6Cv66etbMyoUt1xy4M3j7VLFEDkeZ2YUR0+4F6gPTnXPjw6aPC17PN7OGoYlm1ojs4w21MmiRzfwXgJXAzWZ2SeQA52aWYGY9zWxf/fWS7/LNrDXwX/w4EKFxMe4HfgZ6m9ll2ZQVBzxtZrs6BDazzsCV+O7EngtbdjgwAzjPzO4ysz3GODGvi5l1oZCcc9uB/wNSgQ/NrHHkMmZWx8z6FUE5jwdvXzazPVqomFlFM+sWNmmfnRtBMukb/Dg0/w3ftpkdz+7kUl7ldp6LSGGdcR5cej20ag8b18O0yfD3EmjWCi68Es67ONYRiuwXMtevI/2PX3f94HyPp+HTMtcXR6NhKa3qduzEwecNJLVGTZb+No0/Pv+UlXNmUbN1G064/V4u+fhLyldVV4Ai4r36SB9efOgUmjRIY8yPC/j516V0aluLoY/04cWHTo11eFIKJCcn8t07F3DX1d1IKZvIx1P9gNkDj4Kp90Lj6rGOMHvrwh6p/GgKvDYh+s/mouhY/QBizuU2/qvIgc3MugOf4iuD5+Ofci8LtAKaAgc556YFy6YC3wGd8RW1Y4FywLFAMvCUc+6aiO0vABo45/Ya7sfM7gEGARc454ZGzGsYxDPWOdc9bPpQYAC+8vyyIN55QHugDbAR6O6c+yVie68B/fFP8I/Djw1xOPA5cGi0GM3s12C7k4A/gEzgU+fcp8H8w4ER+G6aFgO/47vVqgl0wne11cc593GwfPfg+L1WFF0h5ad8MysD/AR0BAY4514P204z4BfAgE7OudkR8Y4EOuBbrozDD+h+bPD+AefcXRFxNQO+BBrhz5PpwWvVoPzqwHXOuSeC5RsS5bOO2OZAfJdY9zrn7gmbHgcMxbcu2RHsx3ygDL5yvjU+sdUxbJ0xQDegkXNuQUQ5UWMJWvu8D5wWlDM+2Kd6+GM92jl3Wtjy+To38iM4vhOAavgWNZPxA653Bf6HTzCNds6dELbOQKIfv87483s7/jMLjV1yi3Mu2rgiBWZmf1CrTmvufqQoNysiIqVU8w6dYx1CofStWSnWIYhIERgU93ysQxAR8cbcHesIDmhtbocZy5jhnGsTqxjUIkMkF865MfhK6ufxFdmnAV3wFf5345MEoWU34SuAB+ErPE/BV55OBvpGJjH2sfeC8jOBU4G6wCfAEZFJjMC/gIfxiY6eQEPgIeCfOZRxBr7Lrcb4JMhF+EpoAJxzPwLt8K0CNuKPzWn4sSPGAgPx3XftE/ks/wF8EuH98CRGsJ0/gevxyZ03zSyyq601+KTP1/iuuLrjW11cEJnECNveQfhWOkuCdU/Hd+31C3AFMKyAux1ZVpZzrj/+HBiNT56cARyFHzx8MBDZcqcg5WQE2x0I/AgcjN+nuvhEzxMRy++zcyM4vofhxzhJC7ZbAZ/geydYLE9JiGAMj/Pxn+cJ+HP8InxiU0REREREREREioFaZIjsZ8JaZBwTJGFkHynqFiSy75nZrfgE3a3Ouf/GOp5wapEhIiLh1CJDREoCtcgQkRJDLTJiSi0yREREipiZJQfjnUROPwa4Hchgd8sMEREREREREREp4RJiHYCIiEgRqwT8YWaz8WNkpAPN8F3EAdzonFsYo9hERERERERERCSflMgQkVIh6BKoZR4Xv9E5tzr3xaSkM7OjgIvzuPjHweDgG4BHgOOBI/HjY6wHvgCeds59UfSRioiIiIiIiIjIvqIxMkSkVDCzMfgBofOikXNuwb6LRoqLmQ0EXs3j4vc65+7Zd9HsW2b2R+vWrVv/8ccfsQ5FRERERERERGSXNm3aMGPGjJiOkaEWGSJSKjjnusc6Bil+zrmhwNAYhyEiIiIiIiIiIjGkwb5FRERERERERERERKTEUiJDRERERERERERERERKLCUyRERERERERERERESkxFIiQ0RERERERERERERESiwlMkREREREREREREREpMRSIkNEREREREREREREREosJTJERERERERERERERKTEUiJDRERERERERERERERKLCUyRERERERERERERESkxFIiQ0RERERERERERERESiwlMkREREREREREREREpMRSIkNEREREREREREREREosJTJERERERERERERERKTEUiJDRERERERERERERERKLCUyRERERERERERERESkxFIiQ0RERERERERERERESiwlMkREREREREREREREpMRSIkNEREREREREREREREosJTJERERERERERERERKTEUiJDRERERERERERERERKLCUyRERERERERERERESkxFIiQ0RERERERERERERESiwlMkREREREREREREREpMRKiHUAIiIi4s1YtwF7/p1YhyEiUuo179A51iHIfqBvzUqxDkH2A4Pino91CCKxN+buWEcgIoW1PtYBqEWGiIiIiIiIiIiIiIiUYGqRISIiIiLRzZkBj9+f+3K9zoSTz9j38YhIga17+xW2TZ/C9nlzyFy3BrdjO/Fp1Sh70CGknXcxSU1axDpEKQUmDnmORZN/YuXsmWxZs5qMHdspX7U6DQ47gi7/uoIaLVvHOkSRPaxZt5VWxz3NqjVbaNIgjbljr411SAeMbek7eeh/43hnxO8sWgxp5eHEdnD/6VCncqyjk6LQ/SEYOzv7+V9cDye2L754ZP+nRIaIiIiIRFehIhx+dPR5WVnw8/f+96Ytiy8mESmQNa8/j9u2jaSmLUhq0hyA7fPnsmnUJ2z6+nNqP/QM5bscE+MopaQb/9yT7Ny6lRotW1O9RSsAVv05m+kfvc/vIz/mnP+9SoseJ8Q4SpHdbnhgFKvXbo11GAec9PSdHPvPV/nxlyXUqp7KqZ1gwWp4dTyMnAY/3gWNq8c6SikqZxwM5ZP2nq6ElRQ1JTJERMKY2UDgVeBe59w9sY1GAMzMAQudcw1jHYvIAadmHRjw7+jzfp/mExmVq0BzPYErUtLV+e9zJLVoS1zSnjUN64e/ycpH72XFQ3dQ7uNxWIL+RZTs/fOF16jVrgOJScl7TP/5jVf4fNCtfHrbdVw/8VfidR5JCfDNhHm8Nnwal/zzYF58e3KswzmgPPDMWH78ZQlHdKrHV2/0p/ykBwF4bBTc8A5c+DKMuS3GQUqReeQcaFgt1lHIgUBjZIjEmJl1NzNnZkNjHYtIcTOzhsH5PybWsYhIPoVaYxzaBcxiG4uI5Kps+857JTEAKp1xHol16pO5djU7FsyNQWRSmtQ/+LC9khgAh/a7kMoNGrJl9SpW/ZlDPyMixWRb+k4uvX0ErZtV48ZLusQ6nAPKjh0ZPPPazwA8e18vypfb/d1z/YnQvp7vjmjKghgFKCKllhIZIiJ7+ghoBTwT60BEREqs7ekwPXiy8bCusY1FRAot1ArDEhJjHImUZvHB+RNfpkyMIxGBe5/4jr8WreP5B3uTmKCqr+I0YfIiNmxKp0mDNA5qW2uv+Wce7F9H/FLMgYlIqaf2niIiYZxzG4ANsY5DRKREmzYJtm+Heg2hVt1YRyMihbDxi4/ZsWg+ifUaklivYazDkVLq14/eY/Vfc0lr2JgqDRvHOhw5wE2fuZxHh0zkgrMOouuhDVmweF2sQzqg/DpzOQCdoiQxADo18K/TlxRXRLKvvTwO1myBOIPmNeG0TlC/Sqyjkv2R0tJSrMysnpk9ZWZzzGybma01s8lmNsjMKkQsm2Jmd5nZ78GyG8xsnJmdm822FwR96WNmV4StN9/Mbjbz/V6YWSczGxGUvdnMPjGzBlG2NzTo8qa7mZ1kZt8Hy68zsw/NbK+RTc3snmCdgbnFGCoD+C54OyBYN/RzT5Rj94yZzTOz9CD+kWZ2ZJRydnVXZWY1zWyImS0xswwzuzZabLnJa/lm1tHMtgfz96rdMrOXgtheyCbeWsHriuDzm2pm/XOIK83MHjKzGWHnybdm1ivKsru6MTKzCmb2WHB+7DSzJ4JlBkY7/sE8M7N/BttfFxyHmcHnnhJl+THBthqa2Wlm9qOZbQmOzdvRjk9EOaPNbE1QzgIze8/MekRZPs/nRn5ExH++mU0xs61mttLMXjOzOhHLPxMsf0kO25xtZllm1jg4xvODWd0izv+hUdaNN7NbzN8/tpvZYjP7r5lFGVZs13F5wcwWBsuvNH/tHhJl2fBzo6yZPRy23tygXPWdIxLyU9CtlFpjiJQ6a98cwvIHbmHZHVez4LyTWX7/zcRXqUatex/D4uNjHZ6UEhNefIaPbrqK9664iGdPPJqPbriS1Oo1OPPJF4jTeSQxlJWVxcW3fkKlCsn8320aeD4WFi3zzwXWrVkh6vy6af514eriikj2tQdGwHPfwrPfwDVvQtOb4f5PYh2V7I/UIkOKjZl1BT4FKgELgBFAWaAlcA/wCTAtWDYVX8HfGVgFjATKAccCXc3sCOfcNdmU8zhwabD+fKAb8F+gnJl9BXwFzAJGA52AU4A2ZtbOObctyibPAv4NTA5ibg/0AY41s27OuV8LeEgAvgdqAj2BecH7kGlh+3QE8BlQGZgd/F4tWO9EMzvPOfdulO1XAybhr/XvgWRga36DzE/5zrlpZnYHMBh4zcyOc86FEkynARcDc4DroxSVBvwIJAFjgvKOCbbTOHLwbTNrDnwN1MOfU18CqcDhwAgzu8k590iUcsoCY4EGwetUIMfHdMwsDhgG/BPYjD8f1gEHA4OAk8ysezbn0OXB/o4HPgcOA84FOptZh/B1zCweeBt/3u0AJgArgn08GSgDfBO2fEHPjfy4MdiH8fjr9HCgP/4aOMI5F3qW5gXgCuBfwIuRGzGzbkBz4Gvn3F9mNg0YDpwR7OOosMW/j1wfeAv4B/7cmA10BW4G6gDnR5TVDvgWqBos+yFQH3/t9jazvs6596OUUQZ/j2gdlFMOfw95GH9u3RllHZEDy4Z1MPt3iIuDgwuVLxWRGNj603i2Tv5h1/uEmnWoedf/kdyybQyjktJm7rjvmD9x/K73FevUo8+jz1C7XYcYRiUCTw/9iUm/LuXVwX2oUnmvZ82kGGzeugOAlLLRuysMDZmxKb24IpJ95egWcHE3OLIp1KoEi9fCB5N8YuPuj6BCWbhG+UQpQkpkSLEwszR8hWUl4CbgMedcVtj8I4BlYav8B5/E+A441Tm3KViuJb7i+WozG+2cGxmluLOBds65eWHrTMNXxvYHbnDOPR/MKwN8gU+QnAu8GmV7lwOXOOdeCtYx4CHgFmAocFD+jsZuzrkhZjYXX+n8vXNuYOQy5luqDAcqAOc7594Mm3cwvtJ1iJl965xbFbH6P/BjPvR1zhXoz4QClv8ocBL+uN4APGJmtYCXgJ3Aec65LVGK641PMPUJzQ+env8WuMvMPnXOTQ2mxwMf4Cv4bwYeDZ1TZtY0iOthMxvlnPs9opxDgR+Axs659Xk8FDfgkxhjgH8655YHZZUB/gdchE9o3Bpl3SuArs65H4J1UoL9PDLY5ithy96GT2LMAHo550ItFjCzikDHsPeFOTfy49Igls+DbSfir5Xz8GOJnAbgnPvNzCYCR5pZR+fctIjt/Ct4fSlY/uMgmXEGMCva+R+mAT4J1yzs2DfCJ6HOM7NBYde8AW/ikxj/B9walkw7A3gPeMXMvnfO/R1RzhH4e0wj59zGYJ2D8Qm268zsYefc5twPmch+bNJEyMqC1h2gYqVYRyMi+VT3qdcAyNy0ke3zZrP21WdZcsV5VLnkOqoM/HeMo5PSYsCw4QBs27iBlbNmMvbpRxh67qkce8NtHH3FdTGOTg5Ui5au585Hv6HbYQ0ZeFaB/00XkTy67/Q93zevCbf3hoMbQc9H4J6P4ZLuUFZDJ0kRUddSUlwuxj8lPso590h4EgPAOfeDc24lgJmVw1cKZwGXh5IYwXKzgAeCt1FbZAB3hyo0w9b5HEgBloSSGMG8HcCTwdtu2WxvYiiJEazjgLuAJUBHMzsqxz0vvAuBWsAT4RXVQSyTgfuB8kQ8kR7YDlxV0CRGQcsPjtEAfIuFB83sIHzSpypwb7BeNFlBvLuSHM65ScCz+PvV5WHL9gbaAcOdc4PDzynn3Fx84iGe3ZXnka7OaxLDzBLwyZItwLmhivSgrB3AVcBy4JKg5Uakx0NJjGCdrcBjwdujw8opE8QNcGF4EiNYb4NzbmzYpMKcG/nxXiiJEWx7J/762wqcYmb1wpYNXV97HHczq4xPWKwCPi5gHFdHHPv5+FYy4FtnhHTHnxuLgDtDSYxgneFB+eXxxy9SFnBpKIkRrDMZn/BMwbfAKRQz+yPaD9CksNsWKRY/q1spkf1BfGoFUjoeQp1HXyKpZVvWvPQE6TOmxzosKWXKVqhIg0MP57xX3qZW2w58+9jDLP1VI/hKbFxx90h27Mzk+Qd7xzqUA1r5FF9rvXXbzqjzt2z3r6nJxRWRFLcT2vpkxvqt8NO83JcXySslMqS4HBe8vpDjUl5nfNc/U4MkRKQ3gtcu2VQafxVl2l95mBd9JCp4J3JCUJH7QfB2X9fkhBrifZjN/FCb7kOjzJvqnFsai/KD7oYuxXfVMybYzvf4LnqyM805NzvK9LeD1/BjXZjj8ncOyZRoOuGTMBOdcysiZwZdQ03Bd+/ULMr60c67OcFr+Hl3ML7V0q/OuZ/yEFdhjkF+RLsG1uD3y4DwZN77wBp8K4nwttzn47s2ey1I/uTXTnaPJxMu2nEMnSfvBddqpDcilgu3MJtzMFo5Igeev5fC4gWQlAwdC53XE5ESwBISSe3xD3COzROifdWK5C4+MZG2vU4F55j97ZexDkcOUCO/mUNKciKX3TGC7ue8suvn3Kt8j7JLl2/cNW35yk25bE0Kqn7tigAsWb4x6vwla/1rg6rFFZHEQrMa/vXvDbGNQ/Yv6lpKikvoie285GJrB68Los10zq03sw1ARXzF8ZqIRaJV3G/Ow7yoAwYDC7OZHoqvdjbzi0rD4HVCLmMNR/szYFEsy3fOvW9mH+HHJdgK9HPOZeawjfwc61Bcb5rZHq0RcouL/B+XUFnHW9hg7TmUF1kRviTKcqG/nMPPu/xcJ+FxFeTcyI88fy7OuXQzew0/JshZwGvBrIuD1yEFjGF5NudOtOOY4z0kbHqdKPOifVbZlVMgzrk20aYHrTJaF3b7IvvUT0F+tOMhUKbQl4OIlBDxFSsDkLl+bYwjkdIspXIVALauifz3TKT4rN+YztifFkSdl749Y9e89O0ZxRfUAaZDq5oATP09shdfb2rw32X7usUVkcTCuqCfjXL6l0GKkBIZUlplW5kc2W1VhJzmFYeCtIIKrfMBvmuj7ERrvVIUw2cVuPxgXIzQU+8p+EraBUUQU3hco/ADRWdndZRp+T0uobLm4gffzkm0/9z21XlXmHNjX3oBuA7fvdRrZnYo0B4Yl01rh7woymOYUzIq1vcIkZLLOZgU3ALVrZTIfmXbtJ8BSKxTP8aRSGm24OeJAFRu0DC2gcgByy24L+r0BYvX0ajr4zRpkMbcsdcWb1AHoC4H16diajLzFq5l2h9/07HNno3aPwj6RuitYUz2W6s2wvigT4NODWIbi+xflMiQ4rIYaInvA/63XJYNDfod9XYXDHhcCdiGH4NhX8vuthuaHj5IeajLnPKRCweDU9csQPlLgBbAw865KQVYv7AKVH4w4PKr+NYAb+MHYX/FzNrlMPB0fo516Mn5IcG4B/tSqKzcBqQurMXBa17HSiiuc6MBEK3T7GifC865OWb2HXCsmbVi93gZL+67EPeQ4z2E3S1ZCtvtmsiBZe4sWLsaKqVBi6gNi0SkhNo2fQpZW7eQcuhRWNzu52pcxk7Wf/Q2G0d9giUl+y6mRLKxaPJPbN+yhSZduxMXdh5l7tzJ5LdeY/pH75OQXJa2J58WuyBFJObKlEngygGH8uAz47ji7pF89cYAygXzHhsF0xdDtxbQuWEso5TCmvgnrNzoE1LxYY/sLlgF57/ox0I55SComxa7GGX/o0SGFJevgeOBS8h9oN8p+CRFZzNr5pz7M2J+aODiCbm0vigqZwNPh08IBn8+I3j7fdisUNvJ5lG2cwyQGGV6KPmR3fU4GuiB754pFomMgpZ/FdAT34KhH/AncDfwMnBKNut0zOYzPzd4DT/Wo/GDwvcB9nUiYxKwAehmZmnOuX3V78IUYD3QwcwOdc79nMvyxXVunA2MCJ9gZmn4MToc0VupPA8ci+9i6lx80jHa55Tb+V8QobFBzjKz26J0SXV+xHIikhehQb4PORLiNMyaSGmyY/FCVjx4K/GVKpPUoi3xFSuRuX4d2/+aQ+bqlViZJGre+TCJNTQUlGRvzYL5fHLz1aSkVaFW2/akVKrM1nVrWTF7JptXriAhKZnTBj9FxdrReu8UkQPJnVd24+vv/2LilMU06/4kXRvCwtXw019QLRVeuSjWEUphzVkOF7wMNSv6VheVUmDhGpiyANJ3Qps68NIFsY5S9jf6L1SKyxB8Fz8nmdm1FtGhv5kdbmbVAZxzW4BX8Ofns2ZWLmy55sCdwduniiVyOMrMLoyYdi9QH5junAuvDB0XvJ5vZg1DE82sEdnHG3p6vEU2818AVgI3m9klkQOcm1mCmfU0s7a570qB5Lt8M2sN/Bc/rkBoXIz7gZ+B3mZ2WTZlxQFPhw8SbWadgSvxFebPhS07HJiBH1T6LjPbo+dF87qYWZeC7fZuzrntwP8BqcCHZtY4chkzq2Nm/YqgnMeDty+b2R4tCsysopl1C5tUXOfGOWbWM3y7QZzlgJHOuWhjjnwMLMePjVEeeMM5F61Lr9X4gbybBK2WisIYfMuvhsB94fcbM+sDnI4fG+eVIipPZP+3cydM/cn/fuhRsY1FRPIt5aBDSOt/GYn1G7F93mw2fTuKbb9NJT61IpXO7EeDYSPVGkNy1fCwI+h6+bVUadSEFbNm8McXI1g05WfKVqrMoQMu5t9fjKHtyafGOkwRKQGSkxP57p0LuOvqbqSUTeTjqb6Se+BRMPVeaFw91hFKYR3WBP59LNSuBJPmw3uT4Pcl0LE+PHouTBoE1SvEOkrZ36hFhhQL59xaMzsL+BRfAXq1mU0CygKtgKbAQfhKWYDbgMPxrTj+MrOx+ErTY4Fk4Cnn3AiKx3PAEDO7FD8Ic3ugDbARGBi+oHNunpm9DvQHppnZOPzYEIcDnwe/N4hYZ4GZTQcONrOfgT+ATOBT59ynweDmp+KfiH8BuNPMfsc/4V4T6ITvaqsP8HtR73x+yzezMsCb+M/pUufc/GA7GWZ2PvAL8KiZfRdlvISRQAdgXnDsKuI/80TgAefc5LC4MszsNOBL4D7gyuA4rsR3Z9URqI4fqyG3cS3y4mF892j9gJlm9gswHyiDT0K1xne/9EYhy/kP/lo4DZhjZuPx+1QPf6xHA2Mh/59NIWJ6Efgi+Ez+Bg4DGuGTcFdGW8E5t9PMXgFuD9tGtOV2mNkooDfwq5lNxbfSmOCce7UgwTrnnJmdB3wXlN/HzKbhk49dgAzgIudc9NHnRGRviYnw6JBYRyEiBZRYux5VL7s+1mFIKVe5XgN63Hh77guKlDAN61XOdvwM2XfKJidy3/U9uO/6HjDm7liHI0WsVW34X/9YRyEHGrXIkGLjnBuDr6R+HjB8RW0XfJc9d+OTBKFlNwHdgEH4J7ZPwQ8aPRno65y7phhDfy8oPxM4FagLfAIc4Zz7Jcry/8JXem/Ed63UEHgI+GcOZZyBf4K9MT4JchG+EhoA59yPQDt8q4CN+GNzGj4pMhafUPm6IDuXF/ks/wF8EuF959zrEdv5E9/VUArwpplFdrW1Bp/0+RrfFVd3fKuLC5xzd0WJ6098pf+d+PEiDsc/bd8cnzC5AhhWwN2OLCvLOdcffw6MxlfknwEchR88fDAQ2XKnIOVkBNsdCPwIHIzfp7r4RM8TEcsXx7nxCH7fKgbbroBP2ByWTWuMkG+D1x+cc3/ksNzFwfaqAH3x53+3HJbPlXPuN/w19BK+RciZ+ITTx0AX59x7hdm+iIiIiIiIiIgUH3POxToGkRLJzIYCA4BjgiSM7CNm1h3/9Pxr+3gwbckHMxuDTyg0cs4tKMD6L+DHxbnAOTe0SIPbD5nZH9Sq05q7H4l1KCIipV7zDp1jHYLsB/rWrBTrEGQ/MCju+ViHIBJ7apEhUuq1uR1mLGOGc65NrGJQiwwRESlywfge/fAtqt6NcTgiIiIiIiIiIlKKaYwMEREpMmZ2E34cmePxY+Dc5pzbFtuoRERERERERESkNFMiQ+QAY2a34getzosbnXOr92U8UjzM7Cj8WBR58bFz7uMCFnUyvjuqZcC9wFMF3I6IiIiIiIiIiAigMTJEDjhh4x7kRYHGRpCSx8wGAq/mcfF7nXP37LtoJBoz+6N169at//gjp3HRRURERERERESKV5s2bZgxY0ZMx8hQiwyRA4xzrnusY5DiFwy2PTTGYYiIiIiIiIiIiOSbBvsWEREREREREREREZESS4kMEREREREREREREREpsZTIEBERERERERERERGREkuJDBERERERERERERERKbGUyBARERERERERERERkRJLiQwRERERERERERERESmxlMgQEREREREREREREZESS4kMEREREREREREREREpsZTIEBERERERERERERGREkuJDBERERERERERERERKbGUyBARERERERERERERkRJLiQwRERERERERERERESmxlMgQEREREREREREREZESS4kMEREREREREREREREpsZTIEBERERERERERERGREkuJDBERERERERERERERKbGUyBARERERERERERERkRJLiQwRERERERERERERESmxlMgQEREREREREREREZESS4kMEREREREREREREREpsZTIEBERERERERERERGREkuJDBERERERERERERERKbGUyBARERERERERERERkRIrIdYBiIiIiDdj3Qbs+XdiHYZITDXv0DnWIRRa35qVYh2C7AcGxT0f6xBERESKxpi7Yx2BiBTW+lgHoBYZIiIiIiIiIiIiIiJSgqlFhoiIiAjA5k1w742weSNUqwH3PRHriKQIpM/6na0/TyB95nTSZ0wnY9UKAJpPnBPjyA4sE4c8x6LJP7Fy9ky2rFlNxo7tlK9anQaHHUGXf11BjZatYx2iiBwgZs5dxQNPj+XbiX+xdsM2alVLpVeP5txz7TFUTSsX6/BE9hvb0nfy0P/G8c6I31m0GNLKw4nt4P7ToU7lWEcnRaH7QzB2dvbzv7geTmxffPHI/k+JDBERERGA4cNgy6ZYRyFFbM2rz7Jl/DexDuOAN/65J9m5dSs1WrameotWAKz6czbTP3qf30d+zDn/e5UWPU6IcZQisr/7duJf9L7oTbZu20nLJlU5snN9fp+zgmdf/5lPRs/ihw//Rd1aFWMdpkipl56+k2P/+So//rKEWtVTObUTLFgNr46HkdPgx7ugcfVYRylF5YyDoXzS3tOVsJKipkSGiMg+YGYDgVeBe51z98Q2mtLNzBYADZxzFjatO/Ad8JpzbmBMApP9y6zf4cdxcFQP+F6V3vuTsm0PIqlpS5JbtSO5VTvmn3EMbseOWId1wPnnC69Rq10HEpOS95j+8xuv8PmgW/n0tuu4fuKvxCfo3xMR2Te2bttB36s/YOu2ndx9dXfuvf5YAJxz3PzQVzzy4gQuuvljvnxjQIwjFSn9HnhmLD/+soQjOtXjqzf6U37SgwA8NgpueAcufBnG3BbjIKXIPHIONKwW6yjkQKAxMkT2E2bW3cycmQ2NdSwiIqXKjh3w1hCoVQeOPznW0UgRS+t3CVX/dQ3ljzqWhCr6DytW6h982F5JDIBD+11I5QYN2bJ6Fav+zKFvAhGRQvpw1ExWrN5Mi8ZVGXRt913TzYz/3HQcDetW4qvx8/h1xvLYBSmyH9ixI4NnXvsZgGfv60X5crsf1b/+RGhfz3dHNGVBjAIUkVJLiQwRkX3jI6AV8EysAxGRXHw2HFavhH9eDPF6GlykuMUnJPrXMmViHImI7M+m/LYMgKMPa0Bc3J5VIYmJ8XQ5uD4An4yeWeyxiexPJkxexIZN6TRpkMZBbWvtNf/Mg/3riF+KOTARKfX037qIyD7gnNsAbIh1HCKSiyUL4evP4Ihu0KwlrFkV64hEDii/fvQeq/+aS1rDxlRp2DjW4YjIfmzLNt+tYOUKZaPOr1IpBYBfZ64otphE9ke/zvStmjpFSWIAdGrgX6cvKa6IZF97eRys2QJxBs1rwmmdoH6VWEcl+yO1yJBSyczqmdlTZjbHzLaZ2Vozm2xmg8ysQsSyKWZ2l5n9Hiy7wczGmdm52Wx7gZm54Pcrwtabb2Y3m5kF8zqZ2Yig7M1m9omZNYiyvaFBl0/dzewkM/s+WH6dmX1oZi2jrHNPsM7A3GIMlYEfLwBgQLBu6OeeKMfuGTObZ2bpQfwjzezIKOXs6q7KzGqa2RAzW2JmGWZ2bbTYcpPX8s2so5ltD+bXjbKdl4LYXsgm3lrB64rg85tqZv1ziCvNzB4ysxlh58m3ZtYryrINg3LGmFkFM3ssOD92mtkTwTIDox3/YJ6Z2T+D7a8LjsPM4HNPibL8mGBbDc3sNDP70cy2BMfm7WjHJ6Kc0Wa2JihngZm9Z2Y9oiyf53MjPyLi7xvEv8nM1octU9bMHgyOY3oQw71mluvjufn5rIM4FphZgvn7wtxgnZlmdkHYcsea2XdmtjH4jF43M/0ptr/JyoJhL0FKCvTpG+toRA4IE158ho9uuor3rriIZ088mo9uuJLU6jU488kXiIuPj3V4IrIfq5ZWDoCFS9dHnT9/yboc54tI3ixa5p/nq1uzQtT5ddP868LVxRWR7GsPjIDnvoVnv4Fr3oSmN8P9n8Q6KtkfqUWGlDpm1hX4FKgELABGAGWBlsA9wCfAtGDZVHwFf2dgFTASKAccC3Q1syOcc9dkU87jwKXB+vOBbsB/gXJm9hXwFTALGA10Ak4B2phZO+fctiibPAv4NzA5iLk90Ac41sy6Oed+LeAhAfgeqAn0BOYF70Omhe3TEcBnQGVgdvB7tWC9E83sPOfcu1G2Xw2YhL9nfA8kA1vzG2R+ynfOTTOzO4DBwGtmdpxzLpRgOg24GJgDXB+lqDTgRyAJGBOUd0ywncaRg2+bWXPga6Ae/pz6EkgFDgdGmNlNzrlHopRTFhgLNAhepwLrcjkGccAw4J/AZvz5sA44GBgEnGRm3bM5hy4P9nc88DlwGHAu0NnMOoSvY2bxwNv4824HMAFYEezjyUAZ4Juw5Qt6buTHbfjPbQL+WqwXlF0Gf8y7BsfiM/xndxNwEGDRNhbI12cd5j38feA7/DXTDXjFfJ5yE/7Y/RjEdQTQD2hkZkeHzkPZD4z5EhbOg/6XQfnUWEcjckCYO+475k8cv+t9xTr16PPoM9Ru1yGGUYnIgeDoQxvwn2fhs+/msHrtFqoGiQ2Apcs3Mnr8PAA2bdkeqxBF9gubt/rWTyllE6PODw2ZsSm9uCKSfeXoFnBxNziyKdSqBIvXwgeTfGLj7o+gQlm45oRYRyn7EyUypFQxszRgOD6JcRPwmHMuK2z+EcCysFX+g09ifAec6pzbFCzXEl/xfLWZjXbOjYxS3NlAO+fcvLB1pgE3Av2BG5xzzwfzygBf4CtGzwVejbK9y4FLnHMvBesY8BBwCzAUX2FbIM65IWY2F1/p/L1zbmDkMuZbqgwHKgDnO+feDJt3MD4xM8TMvnXORfat8g/8mA99nXMF+nOjgOU/CpyEP643AI+YWS3gJWAncJ5zbkuU4nrjE0x9QvPN7BDgW+AuM/vUOTc1mB4PfICvVL8ZeDR0TplZ0yCuh81slHPu94hyDgV+ABo759bn8VDcgE9ijAH+6ZxbHpRVBvgfcBE+oXFrlHWvALo6534I1kkJ9vPIYJuvhC17Gz6JMQPo5ZybH5phZhWBjmHvC3Nu5Ed/4Fjn3NiI6dfhkxi/AMc759YEZTfFX6e1c9hmnj/rMA3wyYpmof0xs2OCdR7EJ3lOc859FsyrAEwEjgK6s7v1k5Rma1fDp+9Bs1a+WykRKRYDhg0HYNvGDaycNZOxTz/C0HNP5dgbbuPoK66LcXQisj874eimdGpbi6m//81JA9/g2ft60bpZNX6btYJL7xhBRqb/tzLOcnqGRkREQu47fc/3zWvC7b3h4EbQ8xG452O4pDuU1TBoUkTUtZSUNhfjnxIf5Zx7JDyJAeCc+8E5txLAzMrhK4WzgMtDSYxguVnAA8HbqC0ygLtDSYywdT4HUoAloSRGMG8H8GTwNrsasYmhJEawjgPuApYAHc3sqBz3vPAuBGoBT4RXVAexTAbuB8oD50dZdztwVUGTGAUtPzhGA/BP6T9oZgfhkz5VgXuD9aLJCuLdleRwzk0CnsXf9y4PW7Y30A4Y7pwbHH5OOefm4hMP8cC/sinr6rwmMcwsAZ8s2QKcG0piBGXtAK4ClgOXBC03Ij0eSmIE62wFHgveHh1WTpkgboALw5MYwXobIpIJhTk38uPlKEkM2P153BBKYgRlzw3Kzkl+Putw14YnZZxz3+ETKbWAL0JJjGDeRuDF4G2ha7zN7I9oP0CTwm5b8uGdVyEzA/peFOtIRA5IZStUpMGhh3PeK29Tq20Hvn3sYZb+qlE/RWTfMTM+fP6ftGlencnTl3HYaS+S2uZBjjxjCCtXb+Gea48BoHLF6GNoiEjelE/xtdZbt+2MOj/U6Ck1ubgikuJ2QlufzFi/FX6al/vyInmlFhlS2hwXvL6Q41JeZ3zXP5ODJESkN4CngC5mFheZFME/hR7przzMiz6iFbwTOcE5t9PMPgCuxT+R/n3kMkUo1KDvw2zmh/p5ODTKvKnOuaWxKN85t8TMLsV3BTQG32rge+DhHMqa5pybHWX62/gWMF0LG1fg7xySKdF0widhRjvn9hpF0Dm3zcym4Lt+aobv4ilctPNuTvAaft4djG+19Ktz7qc8xFWYY5Afn0ZOMLP6QH1gZZBMiPQ28FwO28zPZx2yE38uRfoL3zKqINe3lDa/TYWy5eCtl/ecvjP4h2v9WnjsPv/7RVdDxUrFGp7IgSI+MZG2vU7l799/Zfa3X1KnQ4EbqIqI5KpB3UpM+/zffPTlTCZOWcy29J20aV6d805rz4ejZgLQpnn1GEcpUrrVr10RgCXLN0adv2Stf21QtbgiklhoVgMmz4e/N8Q6EtmfKJEhpU294DUvOd1QdzQLos10zq03sw1ARXy/+msiFolWcb85D/OSsolnYTbTQ/Hl1H1OUWgYvE6wnJtLR/tzYlEsy3fOvW9mH+HHFNkK9HPOZeawjfwc61Bcb5rZHq0RcouL/B+XUFnHW9hg7TmUF1lBvyTKcqGWRuHnXX6uk/C4CnJu5Ee04xX6LKJ+Zs65DcGg4JWy2WZBrqvl2Zw/hbm+88w51yba9KBVRuvCbl/yYdsW+HNm9Hk7d+6elxH9aTIRKRoplasAsHVN5J9iIiJFLyEhnrNObstZJ7fdY/rEKf5P1e6HN4xBVCL7jw6tagIw9fe/o86fGvwH175ucUUksbAu6DOhXKH/gxbZTYkMOdBlW5kcpYVGuJzmFYeCdAsXWucDfNdG2YnWeqUohuEqcPnBuBihJ+tT8JW9C4ogpvC4RuEHw87O6ijT8ntcQmXNxQ94nZNotTn76rwrzLmRHyVlOLfcjmOsr28pDs+9HX36mlVw59VQrQbc90SxhiRyoFrw80QAKjdoGNtAROSAtXzlJj74YgZVKqdw+ol6rkSkMLocXJ+KqcnMW7iWaX/8Tcc2ezZq/yDo06C3GmHut1ZthPFB3xGdGsQ2Ftm/KJEhpc1ioCW+L/nfclk2NOh31NtmMOBxJWAbfgyGfS2723doevgg5TuC1/KRCweDU9csQPlLgBbAw865KQVYv7AKVH4wKPqr+NYAb+MHYX/FzNrlMPB0fo51qJXDEOfc8LzGVUChsmZFG5C9CC0OXvM65kIsz43QYzrZXacVyL41RrbrEf2zFhGRGFg0+Se2b9lCk67diYvb/SxG5s6dTH7rNaZ/9D4JyWVpe/JpsQtSRA4Iv89eQdMGaSQnJ+6atuTvDZxx2Tts2rydoY/0oWzYPBHJvzJlErhywKE8+Mw4rrh7JF+9MYBywbzHRsH0xdCtBXRuGMsopbAm/gkrN/qEVHzYo7YLVsH5L/qxUE45COqmxS5G2f8okSGlzdfA8cAlwMe5LDsFn6TobGbNnHN/RswPDVw8IZfWF0XlbODp8AnB4M9nBG/Dx8cIVe42j7KdY4Bof12Hkh/ZXdejgR747plikcgoaPlXAT3xLRj6AX8CdwMvA6dks07HbD7zc4PX8GM9Gj8ofB9gXycyJgEbgG5mluacW7uPypkCrAc6mNmhzrmfc1k+ZueGc26hmS0G6plZtyiDgZ8bbb0w+fmsReQAtHnCd6wd+r9d710wDsqif521a1rawMsp3+WYYo/tQLFmwXw+uflqUtKqUKtte1IqVWbrurWsmD2TzStXkJCUzGmDn6Ji7TqxDlVE9nOPvDiBj76aSac2tahVPZWVa7bw/aRFbN+RwV1Xd2PAmXpEXKQo3HllN77+/i8mTllMs+5P0rUhLFwNP/0F1VLhlYtiHaEU1pzlcMHLULOib3VRKQUWroEpCyB9J7SpAy9dEOsoZX9TkO5pRGJpCL6Ln5PM7FqL6NDfzA43s+oAzrktwCv48/xZMysXtlxz4M7g7VPFEjkcZWYXRky7Fz/Q8XTn3Piw6eOC1/PNrGFoopk1Ivt4Q0+et8hm/gvASuBmM7vEzPa4/s0swcx6mlnb6KsXWr7LN7PWwH/x40CExsW4H/gZ6G1ml2VTVhzwtJmlhG2rM3Alvjux8MGjhwMzgPPM7C4z26MHR/O6mFmXgu32bs657cD/AanAh2bWOHIZM6tjZv2KoJzHg7cvm9kerRbMrKKZdQubFOtzI/R5PGpmu57XCI7P3bmsm5/PWkQOQJnr15H+x6+7fnC+V8nwaZnri6Nh5oGr4WFH0PXya6nSqAkrZs3gjy9GsGjKz5StVJlDB1zMv78YQ9uTT411mCJyADjthFYccVA9Zs1bzQdfzOC32Ss4sVtTvnv7Au67vkeswxPZbyQnJ/LdOxdw19XdSCmbyMdTfSX3wKNg6r3QuHqsI5TCOqwJ/PtYqF0JJs2H9ybB70ugY3149FyYNAiqV4h1lLK/UYsMKVWcc2vN7CzgU3xF7dVmNgkoC7QCmgIH4StlAW4DDse34vjLzMYC5YBjgWTgKefciGIK/zlgiJldih+EuT3QBtgIDAxf0Dk3z8xeB/oD08xsHH5siMOBz4PfG0Sss8DMpgMHm9nPwB9AJvCpc+7TYHDzU4ER+IrrO83sd3y3WjWBTvgufPoAvxf1zue3fDMrA7yJ/5wudc7ND7aTYWbnA7/gK76/c85FDoo9EugAzAuOXUX8Z54IPOCcmxwWV4aZnQZ8CdwHXBkcx5X47qw6AtWB68h9XIu8eBjfPVo/YKaZ/QLMB8rgk1CtgenAG4Us5z/4a+E0YI6ZjcfvUz38sR4NjIX8fzaFjCuaR4GTgS7AXDP7Fj+odg/gG/x5XD+bdfP8WYvkSZVq2Y+fIaVSxZNPp+LJp8c6jANa5XoN6HHj7bEOQ0SE03q24rSerWIdhsgBoWxyIvdd38MnCcfk9nyalDatasP/+sc6CjnQqEWGlDrOuTH4isvnAcNX1HbBd9lzNz5JEFp2E9ANGIRvyXEKftDoyUBf59w1xRj6e0H5mcCpQF3gE+AI59wvUZb/F77SeyO+a6WGwEPAP3Mo4wx8l1uN8UmQi/CV0AA4534E2uFbBWzEH5vT8EmRsfiEytcF2bm8yGf5D+CTCO87516P2M6fwPX4hM6bZhbZ1dYafNLna3xXXN3xrS4ucM7dFSWuP/GV/nfix4s4HDgd37XXL8AVwLAC7nZkWVnOuf74c2A00Aj/uR2FHwx7MBDZcqcg5WT8P3v3HSZFlfVx/HuAIWcEyWAEQTIGVARxzQnTrhnMrjmtYVcFw67uml3jKwquOaAirglXARERAQFhBJSggCAZyfG8f9xqbIaeHKpn+H2eZ56arnur7unqasI9de+NztsXGAN0JbynpoTO/0ey1I/t3nD3jcCRhPt7FXACsC8hWXkqYWRFdvL1WYuIiIiIiIiISOlj7jn1D4lIYZnZIKAPcFiUhJFiYmY9gc+BF4p5MW2RImdmU2nUpA13PBB3KCKx2rtDl7hDKLSzGtaOOwQpA/qVezruEERERIqGRmSIlHpt/wqZv5Dp7m3jikEjMkREREREREREREREJG0pkSEiIiIiIiIiIiIiImlLi32LSIGY2S2ERavz4kZ3X1Kc8UjJMLNDgIvyWP1dd3+3GMMREREREREREZGdgNbIEJECMbPhhAWh82I3d59TfNFISTGzvsDAPFa/0937F180ZYuZTW3Tpk2bqVOnxh2KiIiIiIiIiMg2bdu2JTMzM9Y1MjQiQ0QKxN17xh2DlDx3HwQMijkMERERERERERHZiWiNDBERERERERERERERSVtKZIiIiIiIiIiIiIiISNpSIkNERERERERERERERNKWEhkiIiIiIiIiIiIiIpK2lMgQEREREREREREREZG0pUSGiIiIiIiIiIiIiIikLSUyREREREREREREREQkbSmRISIiIiIiIiIiIiIiaUuJDBERERERERERERERSVtKZIiIiIiIiIiIiIiISNpSIkNERERERERERERERNKWEhkiIiIiIiIiIiIiIpK2lMgQEREREREREREREZG0pUSGiIiIiIiIiIiIiIikLSUyREREREREREREREQkbSmRISIiIiIiIiIiIiIiaUuJDBERERERERERERERSVtKZIiIiIiIiIiIiIiISNpSIkNERERERERERERERNKWEhkiIiIiIiIiIiIiIpK2lMgQEREREREREREREZG0pUSGiIiIiIiIiIiIiIikLSUyREREREREREREREQkbVWIOwAREREJMpevxJ5+Le4wpJTbu0OXuEOQUu6shrXjDkHKgH7lno47BBl+R9wRiIiISFmxIu4ANCJDRERERERERERERETSmEZkiIiISPr69L8wczrMnwurVsLmTVCzNuy1DxxxPDRpHneEkuaWv/o86yaPZ8PMGWxZvhTfuIHydetTpdN+1D37Iirt0SruEKUUGD3gKX4e9zWLpn/PmqVL2LxxA9V3aUCLA7px8MVXsGvrNnGHKIW0dt1GPhk5k6H/m86ocT/x07yVlC9v7NmiLqce04brLzqI6tUqxR1mrtat38S9T47ktaFT+Hku1K0OR7eDu0+BJnXijk5EStL4OTBsCoydDWNnwfzlYb8PSl1/7lIYOjHU/XoWTF8I7vD5zdBznxIKWkQkB0pkiIiISPr66F3YuCEkLJo0C/t+mQdffwHjRsOl10O7zrGGKOlt6X+exteto9Kerai0x94AbJj9I6s+GsKqTz+g8b2PU/3gw2KOUtLdF089yqa1a9m1dRsatAq9OYt/mM7kd95kyvvv8qcnB9Lq8CNjjlIK45Uh33HxLUMA2GfP+px4RCt+W7WB0RPm0u/hz3n1ve8Y8foFNNilesyRZm/9+k30OnMgY76dR6MGNTipM8xZAgO/gPcnwpjbYfcGcUcpIiXl7iEw5Nu81x88Dq57tfjiEREpLCUyRETyycz6AgOBO929f7zRlB1m1h/oB5zvnt1zQrLT+fON0Hw3yKi4/f4Rn8BrA+Gl/4N/PAHly8cTn6S9Jv98ikqt9qVcpe2fpF4x+GUWPXgnv977N6q9OxKroH8WS/bOfOYFGrXrQEalytvtH/vi83zQ7xbeu/U6rh89ifK6j0qtjArluOTMrlx7YTf22bP+tv0LFq3iuPNf4tupC7j2rg955bHTY4wyZ/c8PoIx386jW+dmfPLieVT/5u8APPQR3PAaXPAcDL815iBFpMR02xPaN4P9dgs/LW+EDZuzr797A7j2yN/rX/kSfDKl5OIVEcmN1sgQKQXMrKeZuZkNijsWEZEStUerHZMYAD2OhPq7wm8rYcG8ko9LSo0q7bvskMQAqH3q2WQ0ac6WZUvYOOfHGCKT0qR51wN2SGIA7H/uBdRp0ZI1Sxaz+IfpMUQmRaXPaZ145t4Tt0tiADRqUIMn7joOgLc/+p6NG3PoBYzRxo2befyFsQA8cdfx202Ddf3RoTNzxPQw1YyI7BxuPg7uOgVO6AQNa+de/8RO8PBZcFY32KshWLFHKCKSP0pkiIjk3zvAPsDjcQcislNLjMLQE9BSQIlRGFYhI+ZIpDQrH90/5SumSLpKmdChTUMANmzczNIV62KOJrUvx/3MylXr2aNFXTrt22iH8tO6hu3QfEwzIyIiIpJO9D9/EZF8cveVwMq44xDZqX39Bfy6ABo0hAY7dtiI5Oa3D99l48+zyWjWkoxmLeMOR0qpSe+8wZJZP1K35e7Ua7l73OFIMZn1c1ghNyOjPHVrVYk5mtQmfb8QgM4pkhgAnVuE7WQNYhQREZFSSiMyJO2YWTMze8zMZpjZOjNbZmbjzKyfmdXMUreqmd1uZlOiuivNbKSZnZHNueeYmUe/X5F03Gwzu8nMLCrrbGZDo7ZXm9kQM2uR4nyDoimfeprZMWY2Kqq/3MzeNrPWKY7pHx3TN7cYE20An0cv+0THJn76p7h2j5vZTDNbH8X/vpkdlKKdbdNVmVlDMxtgZvPMbLOZXZsqttzktX0z62hmG6LypinO82wU2zPZxNso2v4afX4TzOy8HOKqa2b3mllm0n3ymZkdn6Juy6id4WZW08weiu6PTWb2SFSnb6rrH5WZmZ0ZnX95dB2+jz73qinqD4/O1dLMepvZGDNbE12bV1NdnyztDDOzpVE7c8zsDTM7PEX9PN8b+ZEl/rOi+FeZ2YrCnDdLG3tG1+8rM1toZhuje/U/ZrZ3Nsd4dD3Km9nNFv482WBmc83sn2a24zwz4bj2Fr77K6L3MdLMjjBN7xa/T4bCC0/Bs4/AXX+BQU9CzdpwwVVQTv+ckdwte3kAC++5mV/+djVzzj6OhXffRPl69Wl050OY1liRPPry/x7nnb9cxRtXXMgTRx/KOzdcSY0Gu3Lao89QTvdRmfXowDEAHN1jTypVSs9nAX/+JTxj07RhzZTlTeuG7U9LSioiERERkaKVnv8Kk52WmXUH3gNqA3OAoUAVoDXQHxgCTIzq1iB08HcBFgPvA9WAXkB3M+vm7tdk087DwKXR8bOBHsA/gWpm9gnwCTANGAZ0Bk4E2ppZO3dPNZ78dODPwLgo5vbAyUAvM+vh7pMKeEkARgENgaOAmdHrhIlJ76kb8F+gDjA9+r1+dNzRZna2u7+e4vz1gW8Ifx6MAioDa/MbZH7ad/eJZvY34H7gBTP7g7snEky9gYuAGcD1KZqqC4wBKgHDo/YOi86ze9bFt6OO7k+BZoR76mOgBnAgMNTM/uLuD6RopwowAmgRbScAy3O5BuWAl4AzgdWE+2E50JWwiPUxZtYzm3vo8uj9fgF8ABwAnAF0MbMOyceYWXngVcJ9txH4Evg1eo/HARWB/yXVL+i9kR+3Ej63LwnfxWaFPF+yi4CbgCmEe3UD0AY4FzjJzLq7++Rsjn0FOJZwr0wHukfnagKck1wxuk6fAlWByUAmsAfwEfBEEb4fKYjMyTA9abXBurtA38uhhZ6AlrxZ+/UXrB331bbXFRo2oeHt/6Jy631jjEpKmx9Hfs7s0V9se12rSTNOfvBxGrfrEGNUUpw++HwGz70+gYyM8tx9/Q7PiqSN1Ws3AlC1Suqp8hJLZqxaX1IRiYiIiBQtJTIkbZhZXWAwIYnxF+Ahd9+aVN4N+CXpkH8QkhifAye5+6qoXmtCx/PVZjbM3d9P0dwfgXbuPjPpmInAjcB5wA3u/nRUVhH4kJAgOQMYmOJ8lwOXuPuz0TEG3AvcDAwCOuXvavzO3QeY2Y+ETudR7t43ax0LI1UGAzWBc9z95aSyroTEzAAz+8zdF2c5/FjCmg9nuXuB/mtTwPYfBI4hXNcbgAfMrBHwLLAJONvd16Ro7gRCgunkRLmZ7Qd8BtxuZu+5+4Rof3ngLUKn+k3Ag4l7ysz2jOK6z8w+cvcpWdrZH/gK2N3dV+TxUtxASGIMB85094VRWxWBJ4ELCQmNW1IcewXQ3d2/io6pGr3Pg6JzPp9U91ZCEiMTON7dZycKzKwW0DHpdWHujfw4D+jl7iMKcY7svAs8k/w+AczsfMJ1eYRwH2XVgpCU2yvps9iNkJQ628z6Jf0ZUI7wXa0K/M3d/5HUzoXAgKJ9S5Jv1/4tbNeugflz4YPB8NBdcOIf4ZiT441NSoWmj70AwJZVv7Fh5nSWDXyCeVecTb1LrqNe3z/HHJ2UFn1eGgzAut9Wsmja94z49wMMOuMket1wK4decV3M0UlRm/bjYs65djDuzv23HrltrQwRERERKXmai0HSyUWEp8Q/cvcHkpMYAO7+lbsvAjCzaoRO4a3A5YkkRlRvGnBP9DLliAzgjkQHZtIxHxA6MeclkhhR2Ubg0ehlj2zONzqRxIiOceB2YB7Q0cwOyfGdF94FQCPgkeSO6iiWccDdQHWyPIEe2QBcVdAkRkHbj65RH8KIhb+bWSdCR/IuwJ3RcalsjeLdluRw928IT8yXIySVEk4A2gGD3f3+5HvK3X8kJB7KAxdn09bVeU1imFkFQrJkDXBGouM8amsjcBWwELgk6jTP6uFEEiM6Zi3wUPTy0KR2KkZxA1yQtXPf3VdmSSYU5t7Ij+eKKYmBu4/J+j6j/QMJI0B6RgmcVK7O8lnMJoyagTA6I6EXsDfwA3Bflnaei9opEmY2NdUPYfSH5KZqNdirNVx5MzTfDYa+CXNm5n6cSKR8jZpU7bgfTR58lkqt92Xps4+wPjO7QV0iqVWpWYsW+x/I2c+/SqN9O/DZQ/cxf5JWUS5L5i/8jaP7vMjyleu4/qKDuOaCbnGHlKPqVcNi82vXbUpZvmZD2NaoXFIRiYiIiBQtJTIknfwh2j6TY62gC2HqnwlREiKrF6Ptwdl0Gn+SYt+sPJRlt6Lsa1l3uPsmwmgA2L7DtDgcGW3fzqY8MQfC/inKJrj7/Djad/d5hCm+KhJGMRxJmN5qu47kLCa6+/QU+1+NtsnXujDXZUEOyZRUOhOSMKPd/deshdHUUOMJ0zvtleL4VPfdjGibfN91JYxamuTuX+chrsJcg/x4r5DH58jMqkdrgvzTwhoqg6L1KhoBRuokwCZ+X18mWarrenC0HZw1iRop7NRbUtTKV4Au3cAdvpsQdzRSClmFDGocfiy4s/rLVH9UiOSufEYG+x5/Ergz/bOP4w5HisiyFWs58twX+Gn+Cs4/vRMP/O2ouEPKVfPG4ZmOeQt/S1k+b1nYttilpCISERERKVqaWkrSSWJO/bw8Wts42s5JVejuK8xsJVCL0HG8NEuVVB33q/NQlnKBYOCnbPYn4mucTXlRaRltvwyzWmUr1X9dfo6zfXd/08zeIawpshY419235HCO/FzrRFwvm9l2oxFyi4v8X5dEW0dY0mLtObSXNRkzL0W9xEij5PsuP9+T5LgKcm/kR1HcRymZWS9CsrB+DtVqpNi3MJt7KdV1TSQ15mZz/iJ7f+7eNtX+aFRGm6JqZ6dQPfrYV6XutBHJTfladQDYsmJZzJFIaVa1Tj0A1i7N+s9NKY1Wr9nAMX1eJPOHxZxydBueve8kcvk3VFrosE+Y9mrClAUpyydE/4Ju37SkIhIREREpWkpkSFmWbWdyNk9cJ+RUVhIKMlIqccxbhKmNspNq9EpRLPlX4PajdTESoyiqEjpy5xRBTMlxfURYDDs7S1Lsy+91SbT1I7lPQ5Sqp6O47rvC3Bv5USxLR5pZdeANwiLvdxESGj8B69zdzewVwhoiqXoY4v4uS3H74fuwrb9rvHFIqbVu4lgAMpo0jzkSKc3mjB0NQJ0WLeMNRAptw4bNnHTxK4ydNJ+jDt2TVx87jfLlS8ckBgd3bU6tGpWZ+dMyJk5dQMe22w8kfysaZ3xCgVfuExEREYmXEhmSTuYCrQlTxHyXS93Eot8tUhVG8+XXBtYR1mAobinjSNqfvEj5xmhbPWvlaHHqgqwiOA9oBdzn7uMLcHxhFaj9aFH0gYTRAK8SFmF/3sza5bDwdH6udWKUwwB3H5zXuAoo0da0VAuyF6HEiIG8rqcQ971RWN2BesBb7t4vRfnuRdRO4vHFZtmUZ7dfitPM6bB+HezTHsoldSRt2QwjP4Wvv4CMimGKKZEU1k0ez9a1a6i6/yFY0j3kmzex4p1X+e2jIVilymGKKZFs/DzuazasWcMe3XtSLuk+2rJpE+NeeYHJ77xJhcpV2Pe43vEFKYW2ZctWzrz6TT4bPZvu+7fg7WfOoGLF0vPf5YoVK3Bln/35++MjueKO9/nkxT5Ui8oe+ggmz4UeraBLyzijFBERESm40vMvM9kZfAocAVwCvJtL3fGEJEUXM9vL3X/IUp5YuPjLXEZfFJU/Av9O3hEt/nxq9HJUUlGiw3TvFOc5DMhIsT+R/MjuOzsMOJwwPVMcndUFbf8q4CjCCIZzCQst3wE8B5yYzTEds/nMz4i2ydd6GGFR+JOB4k5kfAOsBHqYWV13L655SsYDK4AOZra/u4/NpX7c90Zh1Ym2O0y9ZWZ7EtYmKQqJUTQnm9lfo8Xok/2xiNqR/Fi0EP7zdJhCqvluUK0GrF4Fv/wMK1dARgb0uQzq1os7UklTG+f+xK9/v4XytetQqdW+lK9Vmy0rlrNh1gy2LFmEVaxEw9vuI2PX7JbAEoGlc2Yz5KarqVq3Ho32bU/V2nVYu3wZv07/ntWLfqVCpcr0vv8xajVuEneoUgiPv/A173wcRvrtUqcql9/2fsp6D/ztKHapWy1lWdxuu7IHn46axejxc9mr56N0bwk/LYGvZ0H9GvD8hXFHKCIl6b8T4e6klQw3RpPuHnjX7/tuPxGO6xh+X7ACTn7s97JpUc/F5S9Czcrh9+M6wO0nFVPAIiK5UCJD0skA4C/AMWZ2LfBocmeimR0IzHL3Re6+xsyeB64AnjCzk919TVRvb+C26LDHKBmHmNkF7v580r47gebAZHf/Imn/yGh7jpk95O5zAMxsN7KPNzHKoFU25c8A1wM3mdnPhBEI2xI4UVLlcGC+u0/Jx/vKq3y3b2ZtgH8S1is41923mNndwNHACWZ2mbs/naKtcsC/zewUd18bnasLcCVhOrGnkuoOBjKBs81sOvAvd9+QFJcBBwG4e27TQeXI3TeY2b+AvwNvR/fDrOQ6ZtYE6OXuL6Y8Sd7beZhwfz1nZse7+7Z1Q6LRSB3dfUS0K+57o7ASC3OfYmb/SIzUMbPahIRXqsRfQXxGSKS1Am4i3JtEbfVl+0XkpaTstQ8c3TtMITX/55DEqFAB6taHTgfAYUdDg4IMYpOdRdVO+1H3vMtYO3EsG2ZOZ8uK5VhGBhkNm1Cj51HU/uN5VGya3UA/kaDlAd3ofvm1zPl6NL9Oy2Tt8mWUz8igdtPmtDnmBA7ocxH1WhbVAEGJy/KV67b9nkhopNL/2sPSNpFRuXIGn792Pvc+OZJXhnzHuxOgbjXoewjcfQo0rRt3hCJSkhavConMrJL3LV71++8bNqWu/33SnAet9eyHiMRIiQxJG+6+zMxOB94DHgauNrNvgCrAPsCeQCdgUXTIrcCBhFEcs8xsBFAN6AVUBh5z96ElFP5TwAAzu5SwCHN7oC3wG9A3uaK7zzSz/wDnARPNbCRhbYgDgQ+i31tkOWaOmU0GuprZWGAqsAV4z93fixY3PwkYSui4vs3MphCm1WpIeGq9NuGp/CLvrM5v+2ZWEXiZ8Dld6u6zo/NsNrNzgG+BB83sc3fPuij2+0AHYGZ07WoRPvMM4B53H5cU12Yz6w18TFhf4croOi4iTGfVEWgAXEfu61rkxX2E6dHOBb43s2+B2UBFQgd5G2AyUOBERuQfhO9Cb2CGmX1BeE/NCNd6GDAC8v/ZFDKuIufu48xsGOF7PsPMhkdFPQlrmwwBCv1MkLtvNbM+hJFh95nZmYQk2B7AfsAThMTpxuzPIkVulwZw0p/ijkJKsYzGzdjlsuvjDkNKuTrNWnD4jX+NOwwpZv2v60X/63rFHUahVamcwV3XH85d1x8Ow++IOxwRiVHf7uEnr1rWBx9UbOGIiBRa6Vi5THYa7j6c0En9NGHx3t7AwYQpe+4gJAkSdVcBPYB+hA7NEwlPTY8DznL3a0ow9Dei9rcQOlWbEjpYu7n7tynqX0zo9P6NMLVSS+BewqLF2TmVMOXW7oQkyIUkTavj7mOAdsC/ovP2IFy/FoRO7b6ETtpikc/27yEkEd509/9kOc8PhBEEVYGXzSzrE/dLCUmfTwlTcfUkdDif7+63p4jrB0Kn/22E6YkOBE4hTO31LaFz+qUCvu2sbW119/MI98AwYDfC53YIYTHs+4ELiqCdzdF5+wJjgK6E99SUkOh5JEv9WO+NInASYaTLYuAYoAth0e8DCdNsFQl3/4owQud9wmd3IrAJOBb4KqqWaqF2EREREREREREpRrbjNOAikldmNgjoAxwWJWGkmJhZT+Bz4IViXkxbZAdm9jRwKXCGu79eTG1MpVGTNtzxQHGcXnYie3foEncIUsqd1bB23CFIGdCvXKoZQqVEaUSGiIiIFJG2f4XMX8h097ZxxaARGSIiIoCZ1TWzlin2/wm4iDD6I/XKnyIiIiIiIiIiUmy0RoaIiEiwN/BVtI5KYpm7fQjrm2whrOeyJq7gRERERERERER2VkpkiMgOzOwWwqLVeXGjuy8pznikZJjZIYSRB3nxrru/m8O5WgO35PFco9x9QB7rFqdZhEW9exHWX6lGWH/nbeCBaA0NEREREREREREpYVojQ0R2YGbDCQtC58Vu7j6n+KKRkmJmfYGBeax+p7v3z+FcPQlrmuSF1j0hrJHRpk2bNlOnTo07FBERERERERGRbdq2bUtmZmasa2RoRIaI7MDde8Ydg5Q8dx8EDCqicw0HrCjOJSIiIiIiIiIiOzct9i0iIiIiIiIiIiIiImlLiQwREREREREREREREUlbSmSIiIiIiIiIiIiIiEjaUiJDRERERERERERERETSlhIZIiIiIiIiIiIiIiKStpTIEBERERERERERERGRtKVEhoiIiIiIiIiIiIiIpC0lMkREREREREREREREJG0pkSEiIiIiIiIiIiIiImlLiQwREREREREREREREUlbSmSIiIiIiIiIiIiIiEjaUiJDRERERERERERERETSlhIZIiIiIiIiIiIiIiKStpTIEBERERERERERERGRtKVEhoiIiIiIiIiIiIiIpC0lMkREREREREREREREJG0pkSEiIiIiIiIiIiIiImlLiQwREREREREREREREUlbSmSIiIiIiIiIiIiIiEjaUiJDRERERERERERERETSlhIZIiIiIiIiIiIiIiKStpTIEBERERERERERERGRtKVEhoiIiIiIiIiIiIiIpK0KcQcgIiIiQebyldjTr8UdhpRye3foEncIUspNb6w/h0REJLLolbgjKLzMaXFHICJS+q2IOwCNyBARERERERERERERkTSmERkiIiKSvj79L8ycDvPnwqqVsHkT1KwNe+0DRxwPTZrHHaGkueWvPs+6yePZMHMGW5YvxTduoHzd+lTptB91z76ISnu0ijvEtLB1w3qW/ecZVn36Xyr/Oo+6tatwdI89ufuGw2nSsGbc4YmUmG8mzef+/xvFqG9+ZvGyNVSrUpF2rRtwwemd6Xt6J8ws7hBFSrXx369n2Ng1jJ26jrGZ65m/aDMAPrZ1zJGJlJzh38Nh/8y93p0nwx0nFX88IqWFEhkiIiKSvj56FzZuCAmLJs3Cvl/mwddfwLjRcOn10K5zrCFKelv6n6fxdeuotGcrKu2xNwAbZv/Iqo+GsOrTD2h87+NUP/iwmKOM19YNG5h35XmsnzqR8rs04OQjWjNn3nIGvvkt7382gzHvXMzuzevGHaZIsRv84VT+dOWbbNmylc77NqL7fi1YvGwNX3zzE6O++ZlPv5zFy4+eFneYIqXa3c8tYcjI1XGHIRKrhrWgz8Gpy7ZshZe+Cr9337vkYhIpDZTIEBFJM2bWFxgI3Onu/eONRhLMbA7Qwt31KGZJ+vON0Hw3yKi4/f4Rn8BrA+Gl/4N/PAHly8cTn6S9Jv98ikqt9qVcpUrb7V8x+GUWPXgnv977N6q9OxKrsPP+s3jZoCdZP3UilfftRNNHnuf1PYcC8NCAL7nhno+54C/vMvz1C2KOUqR4bd68hctvf58tW7by8qOncdZJ7beVff/jYg45bQCvDJnMRX/qzGEH7R5jpCKlW7d2VWi/VyX2a1OZ/fapQsveM9mw0eMOS6REtW4Mgy5OXfbh5JDIaFYXemqgksh2tEaGiGBmPc3MzWxQ3LGIiGxnj1Y7JjEAehwJ9XeF31bCgnklH5eUGlXad9khiQFQ+9SzyWjSnC3LlrBxzo8xRJYefNNGVgx+CYAGN/SjXNVq28quv+hg2rfelRFfz2H8d7/EFaJIiZg2cwmLlqyh1e67bJfEANhnz/qc07sDAN9Mnh9HeCJlxs196nHXpfU5oXsNGu6y8z5EIJKdl0aH7dndQLMZimxPiQwRkfTzDrAP8HjcgYiktcQojJ34SXopnMQoDKuQEXMk8Vk3eQJbV68io0lzKrdqs0P5ace2BWDop9NKOjSRElWpYt7+LqlXp2oxRyIiIjurNRtgyLfh93MPijcWkXSkRIaISJpx95XuPs3dl8Qdi0ja+voL+HUBNGgIDRrFHY2UQr99+C4bf55NRrOWZDRrGXc4sdnwY0hQVGrVNmV5533D92vytF9LLCaROOzevA57tKjL9FlLeGXI5O3Kvv9xMS+9O4k6tapw8lH7xBShiIiUdW+PC8mMTi2gTZO4oxFJP0pkyE7HzJqZ2WNmNsPM1pnZMjMbZ2b9zKxmlrpVzex2M5sS1V1pZiPN7Ixszj3HzDz6/Yqk42ab2U1mYWCgmXU2s6FR26vNbIiZtUhxvkHRlE89zewYMxsV1V9uZm+b2Q4zJppZ/+iYvrnFmGgD+Dx62Sc6NvHTP8W1e9zMZprZ+ij+981sh2cFkqerMrOGZjbAzOaZ2WYzuzZVbLnJa/tm1tHMNkTlTVOc59kotmeyibdRtP01+vwmmNl5OcRV18zuNbPMpPvkMzM7PkXdllE7w82sppk9FN0fm8zskahO31TXPyozMzszOv/y6Dp8H33uOzwiGLXjUbu9zWyMma2Jrs2rqa5PlnaGmdnSqJ05ZvaGmR2eon6e7438yBL/OWY23szWmtkiM3vBzLL9552ZHW1m/zWzxdH9MCu63vVS1E3+rh1lZp+b2YpoX+3CvAcpIp8MhReegmcfgbv+AoOehJq14YKroJz+OSO5W/byABbeczO//O1q5px9HAvvvony9erT6M6HsJ14jZVNC8OUURXq75qyvGnDWgD8NH9FSYUkEovy5cvxwoMnU7tmZc6+5i26HP8UZ1z5Br3OHEj7o5+gacOa/O/lvtStrREZIiJSPBKLfGs0hkhqmotBdipm1h14D6gNzAGGAlWA1kB/YAgwMapbg9DB3wVYDLwPVAN6Ad3NrJu7X5NNOw8Dl0bHzwZ6AP8EqpnZJ8AnwDRgGNAZOBFoa2bt3H1dilOeDvwZGBfF3B44GehlZj3cfVIBLwnAKKAhcBQwM3qdMDHpPXUD/gvUAaZHv9ePjjvazM5299dTnL8+8A3hz5tRQGVgbX6DzE/77j7RzP4G3A+8YGZ/cPdEgqk3cBEwA7g+RVN1gTFAJWB41N5h0Xl2z7r4tpntDXwKNCPcUx8DNYADgaFm9hd3fyBFO1WAEUCLaDsBWJ7LNSgHvAScCawm3A/Lga5AP+AYM+uZzT10efR+vwA+AA4AzgC6mFmH5GPMrDzwKuG+2wh8CfwavcfjgIrA/5LqF/TeyI8bo/fwBeF7eiBwHuE70M3dt1skwczuA26O4v8GWAB0AK4DTjSzg9091ePFZxHuj3HAh8AegFYfTAeZk2H6lN9f190F+l4OLbTgquTN2q+/YO24r7a9rtCwCQ1v/xeVW+8bY1Tx83Xhr+RylaukLK9WNUy7tWrNxhKLSSQuB3dtwYjXL+DkS19lwpQFTJiyAICKFctzRPc92L15nZgjFBGRsmrBCvhfJpQvB2ceEHc0IulJiQzZaZhZXWAwIYnxF+Ahd9+aVN4NSF7J8h+EJMbnwEnuviqq15rQ8Xy1mQ1z9/dTNPdHoJ27z0w6ZiKhM/Y84AZ3fzoqq0joMO1F6FgemOJ8lwOXuPuz0TEG3EvoqB0EdMrf1fiduw8wsx8Jnc6j3L1v1joWRqoMBmoC57j7y0llXQmJmQFm9pm7L85y+LGENR/Ocvf1BYmxgO0/CBxDuK43AA+YWSPgWWATcLa7r0nR3AmEBNPJiXIz2w/4DLjdzN5z9wnR/vLAW4QO/puABxP3lJntGcV1n5l95O5TsrSzP/AVsLu7r8jjpbiBkMQYDpzp7gujtioCTwIXEhIat6Q49gqgu7t/FR1TNXqfB0XnfD6p7q2EJEYmcLy7z04UmFktoGPS68LcG/lxaRTLB9G5MwjflbMJa4n0Tmr3dMJ3Ywrhc/wx2m+EhOUdwKOE71tWFwNnFEHiRYratX8L27VrYP5c+GAwPHQXnPhHOObkeGOTUqHpYy8AsGXVb2yYOZ1lA59g3hVnU++S66jX988xRyci6eDVIZM5/y/vcmCnprz62Om03bsBv/y6igf+70sefHY0n381m9GDL6ZSJf03WkREitarY2DLVji6HTSsHXc0IulJczHIzuQiwlPiH7n7A8lJDAB3/8rdFwGYWTVCp/BW4PJEEiOqNw24J3qZckQGcEciiZF0zAdAVWBeIokRlW0kdKpCGLmRyuhEEiM6xoHbgXlARzM7JMd3XngXAI2AR5I7qqNYxgF3A9WBc1IcuwG4qqBJjIK2H12jPoQRC383s06EpM8uwJ3RcalsjeLdluRw92+AJwh/Zl6eVPcEoB0w2N3vT76nos7zG4DyhM7xVK7OaxLDzCoQkiVrCB3tC5Pa2ghcBSwELolGbmT1cCKJER2zFngoenloUjsVo7gBLkhOYkTHrXT3EUm7CnNv5McbiSRGdO5NhO/fWsIIi2ZJdaMeb85MJDGiY5yQyJgInGZmu6Ro57/FncQws6mpfgijPyQ3VavBXq3hypuh+W4w9E2YMzP340Qi5WvUpGrH/Wjy4LNUar0vS599hPWZk3M/sIyyKmGanK3rUw3mgzVrNwFQo1rFEotJJA4/zF5KnxvfYZe6VXn/+bPZv2NTqlWtyF671eOZe0/k+MP3ZsKUBTz/xoS4QxURkTJI00qJ5E6JDNmZ/CHaPpNjraALYeqfCVESIqsXo+3B2XQaf5Ji36w8lGW3Yu1rWXdEHblvRS+7Z3NcUTky2r6dTfkX0Xb/FGUT3H1+HO1H0w1dSpgKaXh0nlHAfTm0NdHdp6fY/2q0Tb7WhbkuC3JIpqTSmZCEGZ1qSqRoaqjxhOmd9kpxfKr7bka0Tb7vuhJGLU1y96/zEFdhrkF+pPoOLCW8LwMOATCzBoQppH5IMQomkcz4kpBg6pKinfcKGaeUlPIVoEs3cIfv1Kkk+WcVMqhx+LHgzuovP8/9gDIqo2FjADYvTr2Y97yFKwFo0aR2SYUkEovXhn7Hpk1bOLrHnlSvVmmH8j8eF6ahGzn2p5IOTUREyrjvf4Fvf4LqlaF357ijEUlfGhMrO5PEE9t5eXS3cbSdk6rQ3VeY2UqgFqHjeGmWKqk67lfnoWzH/zUF2f2PKRFf42zKi0rLaPtlmJ0nW6mecP85zvbd/U0ze4ewpsha4Fx335LDOfJzrRNxvWxm241GyC0u8n9dEm0dYUmLtefQXtZkzLwU9RIjjZLvu/x8T5LjKsi9kR95/VwS8eyVx+uUVVHcrzly97ap9kejMtoUd/tlSvUaYbvqt3jjkFKrfK0w3/2WFctijiQ+lfZsDcCG6VNTlifWCGjfOvVi4CJlxbwF4e+SWjUqpyxP7F++MvXoJRERkYJ6cXTYntIFqmbXKyQiSmSIFEK2naRZp63KIqeyklCQkViJY94iTG2UnVSjVwozpVSh24/WxUiMoqhK6CieUwQxJcf1EWEx7OwsSbEvv9cl0daPhBEFOcmaWIPiu+8Kc28Uh0Q8CwkLr+ckVXKkKO5XKSk/fB+29dXBKgWzbuJYADKaNI85kvhUad+ZctVrsGn+z6yfkUnlvbfPp771QUhwnPCH1nGEJ1JiGtavDsC4yakHEn8T7W/ZtHZJhSQiIjsBd3hF00qJ5IkSGbIzmQu0JsxD/10udROLfrdIVRgteFwbWEdYg6G4pYwjaX/yIuUbo231rJWjxakbFqD9eUAr4D53H1+A4wurQO1HizsPJDx5/yphEfbnzaxdDgtP5+daJ0Y5DHD3wXmNq4ASbU1LtSB7EZobbfO6XkNJ3RstgFST2Gf9XBLXaUkxXycpCTOnw/p1sE97KJeUg92yGUZ+Cl9/ARkVwxRTIimsmzyerWvXUHX/Q7Cke8g3b2LFO6/y20dDsEqVwxRTOynLqEjtU89h2QtPsejBu2j6yPPbyh4a8CWTp/1KjwNa0qVdcQ/+FInXSUe25q7HhjNy7E889eJY/nzu77Nijpkwl4efC71Mpx2bcmCliIhIgXwxA35aCk3qQK994o5GJL0pkSE7k0+BI4BLgHdzqTuekKToYmZ7ufsPWcoTCxd/mcvoi6LyR+DfyTuixZ9PjV6OSipaEG33TnGew4CMFPsTyY/s/kwYBhxOmJ4pjkRGQdu/CjiKMILhXOAH4A7gOeDEbI7pmM1nfka0Tb7WwwiLwp8MFHci4xtgJdDDzOq6e3HNgzIeWAF0MLP93X1sLvVL6t74IzA0eYeZ1SWs0ZFY9wJ3n2dm04A2Zra3u8/Y4UxSeixaCP95Okwh1Xw3qFYDVq+CX36GlSsgIwP6XAZ168UdqaSpjXN/4te/30L52nWo1GpfyteqzZYVy9kwawZblizCKlai4W33kbFrdktU7Rzq9r2cteNGs/67Ccz+05H86YAG/DR/BV9PnEf9etV4/v7ecYcoUuw679uYGy85mAf+70suv/19nnhxLG32qs8vv67iqwlz2brVueTMrvzhkLw+6yEiqfx31Grufv73AesbN4WJDg68YM62fbdfsAvHHbLDc3kiZdJL0bRSZx24/bNbIrIjfUVkZzKAMMXPMWZ2rWWZ0N/MDowWCsbd1wDPE74jT5hZtaR6ewO3RS8fK5HI4RAzuyDLvjuB5sBkd/8iaf/IaHuOmbVM7DSz3cg+3sTT7K2yKX8GWATcZGaXZF3g3MwqmNlRZrZv7m+lQPLdvpm1Af5JWAcisS7G3cBY4AQzuyybtsoB/zazqknn6gJcSegwfyqp7mAgEzjbzG43s+1ms7TgYDM7uGBv+3fuvgH4F1ADeNvMds9ax8yamNm5RdDOw9HL58xsuxEqZlbLzHok7Sqpe+NPZnZU8nmjOKsB77t78toWdxM+x8Fm1jHricysnpldXMh4pCTstQ8c3Rt2bQzzf4YJY2DWdKhaHXoeBbf9S6MxJEdVO+1H3fMuI6P5bmyYOZ1Vn33Euu8mUL5GLWqfdi4tXnp/px6NkVCuUiWaPv4idc+/gnKVKvPusO/5af4K+p7WiQnvX8buzevGHaJIibj/r0fx9tNncGT3PVi4eDXvfPw9mT8spscBLXnl0dN45t7snoMRkbxavGIzX09Zv+3Howmbk/ctXrE53iBFSsiGTfDWuPD7OZpWSiRXGpEhOw13X2ZmpwPvETpArzazb4AqwD7AnkAnQqcswK3AgYRRHLPMbASh07QXUBl4zN2HUjKeAgaY2aWERZjbA22B34C+yRXdfaaZ/Qc4D5hoZiMJa0McCHwQ/d4iyzFzzGwy0NXMxgJTgS3Ae+7+XrS4+UmEJ+KfAW4zsymEabUaAp0JU22dDEwp6jef3/bNrCLwMuFzutTdZ0fn2Wxm5wDfAg+a2efunnVR7PeBDsDM6NrVInzmGcA97j4uKa7NZtabsBbDXcCV0XVcRJjOqiPQALiO3Ne1yIv7CNOjnQt8b2bfArOBioQkVBvC9EsvFrKdfxC+C72BGWb2BeE9NSNc62HACMj/Z1OImP4P+DD6TBYABwC7EZJwVyZXdPdXzKwt8FdgvJlNJHxvjDBlVntgNfBsIeKRkrBLAzjpT3FHIaVYRuNm7HLZ9XGHUSqUq1SZXS6+hl0uvobpjV+LOxyR2Jx8dBtOPrpN7hVFpED6Hl+bvsfXjjsMkbRQKQOWPRF3FCKlh0ZkyE7F3YcTOqmfJnRq9gYOJkzZcwehszNRdxXQA+hHGMlxImHR6HHAWe5+TQmG/kbU/hbgJKApMATo5u7fpqh/MaHT+zfC1EotgXuBM3No41TClFu7E5IgFxI6oQFw9zFAO8KogN8I16Y3ISkygpBQ+bQgby4v8tn+PYQkwpvu/p8s5/kBuJ6Q0HnZzLJOtbWUkPT5lDAVV0/CqIvz3f32FHH9QOj0v42wPsOBwCmEqb2+Ba4AXirg287a1lZ3P49wDwwjdOSfChxCWKT6fiDryJ2CtLM5Om9fYAzQlfCemhISPY9kqV8S98YDhPdWKzp3TULC5oAsozESMf0timMwIaHSm/B5lickBvVIpYiIiIiIiIhIKWGeGMcnImnHzAYBfYDDoiSMFBMz6wl8DrygRaLTh5kNJyQkdnP3OfFGU7zMbCqNmrThjgfiDkVKub07dIk7BCnlNCJDRES2WfRK3BEUXua0uCMQESn12v4VMn8h093bxhWDRmSIiIiIiIiIiIiIiEjaUiJDRERERERERERERETSlhb7FpESZ2a3EBatzosb3X1JccYjJcPMDgEuymP1d9393WIMR0RERERERERESgmtkSEiJS5p3YO8KPNrI+wszKwvMDCP1e909/7FF036MbOpbdq0aTN16tS4QxERERERERER2aZt27ZkZmbGukaGRmSISIlz955xxyAlz90HAYNiDkNEREREREREREoZrZEhIiIiIiIiIiIiIiJpS4kMERERERERERERERFJW0pkiIiIiIiIiIiIiIhI2lIiQ0RERERERERERERE0pYSGSIiIiIiIiIiIiIikraUyBARERERERERERERkbSlRIaIiIiIiIiIiIiIiKQtJTJERERERERERERERCRtKZEhIiIiIiIiIiIiIiJpS4kMERERERERERERERFJW0pkiIiIiIiIiIiIiIhI2lIiQ0RERERERERERERE0pYSGSIiIiIiIiIiIiIikraUyBARERERERERERERkbSlRIaIiIiIiIiIiIiIiKQtJTJERERERERERERERCRtKZEhIiIiIiIiIiIiIiJpS4kMERERERERERERERFJW0pkiIiIiIiIiIiIiIhI2lIiQ0RERERERERERERE0pYSGSIiIiIiIiIiIiIikraUyBARERERERERERERkbSlRIaIiIiIiIiIiIiIiKStCnEHICIiIkHm8pXY06/FHcZObe8OXeIOYad3VsPacYcgZUC/ck/HHYKISDD8jrgjEBERKbwVcQegERkiIiIiIiIiIiIiIpLGNCJDRERE8m/jBsicDN9NgB+nw7IlUK4c1N8VOu0Phx8HlSvHHWWZtnX9OtZ+PYrVX37Ousnj2bxwPpQrT0bT5tToeRR1zjifclWrxR2mFIHRA57i53Ffs2j696xZuoTNGzdQfZcGtDigGwdffAW7tm4Td4giZcripWv459NfMPR/0/l5/kqqVM6gZdPaHH7w7tz/16PiDk/S3Lr1m7j3yZG8NnQKP89fSd2qcHQ7uPsUaFIn7uhEyo7vf4F73oPPvodla6BRLTi+I/TvDbvUiDs6ESkO5u5xxyAiIrLTM7OpNGrShjseiDuUvBn1Gbz8bPi9YRNo3BTWr4NZP4Rtw8Zw3R1Qs1a8ceZTaZpaauV7b/DrfbcBULHlHlTcfW+2rlnN+u8msHXtGiq22J2mT7xMhbr1Yo40fzS11I7+2aU1m9auZdfWbaixa0MAFv8wnaWzZ1IuI4M/PTmQVocfGXOU6UVTS0lBjf/uF4467z8sXb6Wtns3YN+9G/Db6g1k/rCYeQt/Y/PM/nGHKGls/fpNHHbmQMZ8O49GDWrQfb8WzPl+CmNnQf0aMOZ22L1B3FGKlH6fZcIJj8DajdC6EbRpDFPmw4yF0LQufHVb2IpI0Wn7V8j8hUx3bxtXDBqRISISAzPrCwwE7nT3/vFGEy8zGw70AHZz9znxRpOambUEZgMj3L1nvNGkifLl4ZDDodcx0KjJ7/tXLocn/gVz58Cb/4ELr4otxDKvQgVqnfQnav+pD5Va7rlt9+Yli5h/4yVsmJHJ4kf/TqM7H4oxSCkKZz7zAo3adSCj0vajnMa++Dwf9LuF9269jutHT6J8Bf3TXqQwFi9dw9F9/sO69ZsY8uxZnHhE6+3Kx06cF1NkUlrc8/gIxnw7j26dm/HJi+dRvVolGD6Fhz6CG16DC56D4bfGHaVI6bZ2A5z1dEhi3HES3Hly2O8ON70OD3wEFz4PH98Yb5wiUvS0RobITsLMepqZm9mguGMRKSwzGxTdzz3jjmWn1a0HnH3R9kkMgFp14Izzw+8Tv4HNm0s+tp1ErWNPYdeb794uiQFQYZcGNLihHwCrR3yCb9oYR3hShJp3PWCHJAbA/udeQJ0WLVmzZDGLf5geQ2QiZUu/hz9jybK13P/Xo3ZIYgDs37FpDFFJabFx42Yef2EsAE/cdXxIYkSuPxraN4MR02H8nJgCFCkj3h4Pv/4GrRpCv5N+328G/zgNWu4Cn0yBST/HF6OIFA8lMkRE4vEOsA/weNyBiBS5pi3CdvMmWLMq3lh2UpX2Ch1wvnEjW1auiDcYKVblK2SEbcWKMUciUrqtW7+Jl96dTLWqFTn/9E5xhyOl0JfjfmblqvXs0aIunfZttEP5aV3Ddui3JRyYSBmTSAYe2ios0ZcsowIcvFf4fYi+ayJljsafi4jEwN1XAivjjkOkWCxeFLbly0PV6vHGspPaNH9u+KVCBuVq1o41Fik+k955gyWzfqRuy92p13L3uMMRKdXGTZ7PqtUbOGS/5lSpnMGHn89g2KiZrN+wmb13q8cfj9+XxrvWjDtMSWOTvl8IQOcUSQyAztFzHpM1Q5lIoazZELZ1qqUurxf990MjMkTKHo3IkDLJzJqZ2WNmNsPM1pnZMjMbZ2b9zKxmlrpVzex2M5sS1V1pZiPN7Ixszj3HzDz6/Yqk42ab2U1mZlFZZzMbGrW92syGmFmLFOfbNkWOmR1jZqOi+svN7G0z22Fcu5n1j47pm1uMiTaAz6OXfaJjEz/9U1y7x81sppmtj+J/38wOStHOtumqzKyhmQ0ws3lmttnMrk0VW27y2r6ZdTSzDVH5DuP8zezZKLZnsom3UbT9Nfr8JpjZeTnEVdfM7jWzzKT75DMzOz5F3ZZRO8PNrKaZPRTdH5vM7JGoTt9U1z8qMzM7Mzr/8ug6fB997lVT1B8enaulmfU2szFmtia6Nq+muj5Z2hlmZkujduaY2RtmdniK+nm+NwoqL/FH93af6OXnWe7nllGdbd8RM+tiZh+a2YronG8kzmlm1czsX9H7Xm/h+3xaUb2fndbnH4Ztmw6QkRFvLDup5W+8AEC1A7tTTk/qlxlf/t/jvPOXq3jjigt54uhDeeeGK6nRYFdOe/QZypUvH3d4IqVa5g+LAWhQrzq9L36FY89/iYef+4qnXvqG6+7+iD17PMqrQybHHKWks59/Cc8oNW2YOuGVWHj4pyUlFZFI2VS/Rthm912avTgqX1oy8YhIyVEiQ8ocM+sOTAauAjKAocCXQC2gP7B7Ut0awEjgLqAB8H5Ud3/gVTN7NId2HgbuB34CPgXqAf8E+pvZwcAXQGNgGLAAOBH4n5lVyeaUpwP/BSpGMf8CnAyMMbMO+bwMWY0CPo5+nwm8kPQzMek9dQMmAVcAm6J4pgBHASPN7E/ZnL8+8A1wHPAV8CGwNr9B5qd9d58I/A2oA7xgFhJI0Xl6AxcBM4DrUzRVFxgDHA0MJ3xW7aLz9E8R196E63QLUIVwLccBBwBDzSy7ZcSqACOAvtHx7wHLc7kG5YCXgVeA/aLjPgCqAf0IHffZ3UOXA28B66JjVgNnAJ9lPcbMygOvR+0cSrju7wDzCJ/jVVnqF/TeyI+8xv8C4T6G8Fkk38+rs5zzAMJ3un5Udynhu/Y/M6tFSPD1Idy/XwFtgDfM7KgieD87pynfwujhYTTGiX+MO5qd0urRw/nt/begQga7XHxN3OFIEfpx5OdMGvw6mR8OZfGMadRq0oxTH32Gxu0K+88EEVm+ch0A7306jY9G/MgTdx/PovE3M2fU9dx4ycGsW7+JPje+w8SpC2KOVNLV6rVhTaqqVVI/xJFYMmPV+pKKSKRsOrRV2P53MizJMovt/OUwbGr4Xd81kbJHU0tJmWJmdYHBQG3gL8BD7r41qbwbIUGQ8A+gC6Ez8yR3XxXVa03ogL7azIa5+/spmvsj0M7dZyYdMxG4ETgPuMHdn47KKhI693sROmYHpjjf5cAl7v5sdIwB9wI3A4OAAk/W6+4DzOxHQqfzKHfvm7WOhZEqg4GawDnu/nJSWVfgE2CAmX3m7ouzHH4soRP8LHcv0D8XCtj+g8AxhOt6A/CAmTUCniV0tp/t7mtSNHcCIcF0cqLczPYDPgNuN7P33H1CtL88oXO9GXAT8GDinjKzPaO47jOzj9x9SpZ29id0ju/u7ivyeCluAM4kJFjOdPeFUVsVgSeBCwkJjVtSHHsF0N3dv4qOqRq9z4Oicz6fVPdWQod+JnC8u89OFEQd/B2TXhfm3siPPMXv7n0tjDLaA7jP3YfncM7LgD8nfRczCEmSPwCjgYWEzydxH1wIDAD+yu/JP8mrhfNh4BPgDqec/ftaGVJiNs6ZycI7/wLu1L/iJirttU/cIUkR6vPSYADW/baSRdO+Z8S/H2DQGSfR64ZbOfSK62KOTqR02+phMPPmzVv5+y2Hc/m5+28ru/+vR/HT/BW8+d+p3P9/X/Lyoxq8KSISlyP3DVO1TfgJjnkInjgX2jSG7+bBpYNgc9QDVM5yPI2IlEIakSFlzUWEJ68/cvcHkpMYAO7+lbsvgjClDKFTeCtweSKJEdWbBtwTvczucdY7EkmMpGM+AKoC8xIdp1HZRiAxuqNHNucbnUhiRMc4cDvhCfmOZnZIju+88C4AGgGPJHdUR7GMA+4GqgPnpDh2A3BVQZMYBW0/ukZ9CKMc/m5mnQhJn12AO6PjUtkaxbstyeHu3wBPEP5cvDyp7gmE0RqD3f3+5HvK3X8kJB7KAxdn09bVeU1imFkFQrJkDXBGIokRtbWRMEpiIXBJNHIjq4cTSYDomLXAQ9HLQ5PaqRjFDXBBchIjOm6lu49I2lWYeyM/8hR/Po3K8l3cBPw7etmakORITnYNApYA3aKkR5Ezs6mpfgiJmdJrxTL4932wdg0cfiz0OibuiHY6mxYvZN71F7F11UrqnHE+df7UJ/eDpFSqUrMWLfY/kLOff5VG+3bgs4fuY/4krWgpUhjVq1ba9vv5p3feofz808IzRSO+nlNSIUkpU71qmMpx7bpNKcsT8/rXqFxSEYmUTWbw9lXQtgmMmw0H3AU1LoOD7oFFv0H/k0K97NbQEJHSS4kMKWv+EG2fybFW0IUw9c+EKAmR1YvR9uBsOo0/SbFvVh7KUq/+Bq9l3RF1ur4VveyezXFF5cho+3Y25V9E2/1TlE1w9/lxtO/u84BLCVNyDY/OMwq4L4e2Jrr79BT7X422yde6MNdlQQ7JlFQ6E5Iwo93916yF7r4OGE+YTmuvFMenuu9mRNvk+64rYdTSJHf/Og9xFeYa5Ede4y/sORPfxTnuPiO5wN23EKaLyyB8FpIXa1bDY/+AZUugWw84tbA5LcmvLb+tYP61F7B54XxqHncqu1yVatCWlDXlMzLY9/iTwJ3pn2kQmUhhtGhSCwjTAtWvt2PvV8tmdQBYtDTVYF8RaN443EPzFv6WsnzesrBtoX9hihRai11g4l3wxuVw7ZFwaU947GzI/AfsGr6KtG0ca4giUgw0tZSUNc2i7cwcawWJv9bmpCp09xVmtpKwtkYdwtz6yVJ13K/OQ1mlFGUQOk9TScRX3H8Nt4y2XyYtN5FKqn96/xxn++7+ppm9Q1hTZC1wbtQhnZ38XOtEXC+b2XajEXKLi/xfl0RbR1jSYu05tJc1GTMvRb3ESKPk+y4/35PkuApyb+RHXuPPj/x+T5PLC9pmjty9bar90aiMNsXRZrFavx4evw8WzIeO+8M5l4THpKTEbF27hvnXX8TG2T9SveeR7HrLPeTyXZUypGqdegCsXaoVLUUKo1Pb8MzEuvWb2bBhM5Uqbf9f5WUrwvJviafuRbLqsE9DACZMSb2OyoTofyDtm5ZURCJlW4XycPr+4SfZ6B/Dtmfrko9JRIqXEhkiOcu2MznrtFVZ5FRWEgoy2ipxzFuEqY2yk2r0SlEso1Xg9qN1MRKjKKoSOoPnFEFMyXF9BOwwSiLJkhT78ntdEm39SFigOiepeqyK674rzL2RH8URfzp/T0u/TZvg6Qdgzkxo0x4uvArKabBnSdq6cSPzb/4z6zMnU/WA7jS68yGsfPm4w5ISNGfsaADqtGgZbyAipVzzJrXpsE9DJn2/kBFfz+HIQ/fcrjwxpVSntg1jiE5Kg4O7NqdWjcrM/GkZE6cuoGPb7QcUvxWN0z6hwCsfikhuFq6At76BetXhlK5xRyMiRU2JDClr5hLmvd8D+C6XuolFv1OuRhsteFwbWEdYg6G4ZbcqbmJ/8iLlG6Nt9ayVo8WpC/I/rHlAK8LiyeMLcHxhFaj9aFH0gYTRAK8SFmF/3sza5bDwdH6udWKUwAB3H5zXuAoo0da0VAuyF6G50TavazLEfW9IOtq6FZ7/N0yfCnu2hkuvhwr6Z0VJ8i1bWNjvOtaNH0OVDl1pfO/jWIaeFC5rfh73NRvWrGGP7j0pl5Qo3LJpE+NeeYHJ77xJhcpV2Pe43vEFKVJG3HTZIZx9zVvc+I+P+bj1rjRqUAOAiVMX8OCzIWl42dn7xRmipLGKFStwZZ/9+fvjI7nijvf55MU+VItG8Dz0EUyeCz1aQZeW8cYpUhZMmQd7NoDKSf/0nbcMTn0cVq2HQRdBFf2zWKTMUY+DlDWfAkcAlwDv5lJ3PCFJ0cXM9nL3H7KUJyZ5/zKX0RdF5Y/8vggxsG3x51Ojl6OSihLjlfdOcZ7DCPP7Z5VIfmT3vR8GHE6YnimOzuqCtn8VcBRhBMO5wA/AHcBzwInZHNMxm8/8jGibfK2HERaFPxko7kTGN8BKoIeZ1XX3ZcXUznhgBdDBzPZ397G51I/73kglt/tZitvwj2HiN+H36jXg1edT1zv1bKhes+Ti2omseOslVo8YBkD52nVY9ED/lPXqX3kz5WvXLcHIpCgtnTObITddTdW69Wi0b3uq1q7D2uXL+HX696xe9CsVKlWm9/2PUatxk7hDFSn1zjqpPZ+M/JEXBk+kzR/+zUFdmrFu/WZGj5/Lho2bufjMLpx+3L5xhylp7LYre/DpqFmMHj+XvXo+Svf9WvDT9/D1LKhfA56/MO4IRcqGBz6EdyZA5xbQqHZY5HvUDNiwGW4/EfocEneEIlIc1AEkZc0A4C/AMWZ2LfCou2+bHsrMDgRmufsid19jZs8DVwBPmNnJ7r4mqrc3cFt02GMlFPshZnaBuyf3Bt4JNAcmu/sXSftHRttzzOwhd58DYGa7kX28iVEGrbIpfwa4HrjJzH4mjEDYlsCJkiqHA/PdfUo+3lde5bt9M2sD/JOwjsK57r7FzO4GjgZOMLPL3P3pFG2VA/5tZqe4+9roXF2AKwnTiT2VVHcwkAmcbWbTgX+5+4akuAw4CMDdc5sOKkfuvsHM/gX8HXg7uh9mJdcxsyZAL3d/MeVJ8t7Ow4T76zkzO97dt60bEo1G6ujuI6Jdcd8bqSTfz5+WUJuSbG3SLGOJhEYqx5+WYuyYFIUtq1Zu+z2R0Eil3oVXKZFRirU8oBvdL7+WOV+P5tdpmaxdvozyGRnUbtqcNsecwAF9LqJey93jDlOkzBj4wMkc3LU5z7wyjuFj5mBmdN63EZee1ZU+p2lOIMlZ5coZfP7a+dz75EheGfId7w77nrpVoO8hcPcp0FR/HYsUid6dYeFKmDQXvvwB6lSDo9uFhb977hN3dCJSXJTIkDLF3ZeZ2enAe8DDwNVm9g1QBdgH2BPoBCyKDrkVOJAwimOWmY0AqgG9gMrAY+4+tITCfwoYYGaXEhZhbg+0BX4D+iZXdPeZZvYf4DxgopmNJKwNcSDwQfR7iyzHzDGzyUBXMxsLTAW2AO+5+3vR4uYnAUMJHde3mdkUwrRaDYHOhKm2TgaKvLM6v+2bWUXgZcLndKm7z47Os9nMzgG+BR40s8/dPeui2O8DHYCZ0bWrRfjMM4B73H1cUlybzaw38DFwF3BldB0XEaaz6gg0AK4j93Ut8uI+wvRo5wLfm9m3wGygIqHTvg0wGShwIiPyD8J3oTcww8y+ILynZoRrPQwYAfn/bAoZV14NJYy8ecDMjuD3NUpudneteFsSjj8t/Ehsdrnoana56Oq4w5BiVqdZCw6/8a9xhyGy0zAzLj6zKxefqcnVpWCqVM7grusP567rDw87ht8Rb0AiZVDvLuFHRHYuWpFTyhx3H07opH4aMEJH7cGEKXvuICQJEnVXAT2AfoSO0BMJi0aPA85y92tKMPQ3ova3ACcBTYEhQDd3/zZF/YsJnd6/EaZWagncC5yZQxunEqbc2p2QBLmQ0AkNgLuPAdoB/4rO24Nw/VoQOrX7UoxPv+ez/XsISYQ33f0/Wc7zA2EEQVXgZTPLOtXWUkLS51PCVFw9CaMuznf321PE9QOh0/82wnoRBwKnEKb2+pYwquelAr7trG1tdffzCPfAMGA3wud2CGHx8PuBC4qgnc3RefsCY4CuhPfUlJDoeSRL/VjvjayitTrOIXxuRxLu5QuBGiUVg4iIiIiIiIiIlAxLmnVHRGJgZoOAPsBhURJGiomZ9QQ+B14o5sW0RfLNzKbSqEkb7ngg7lB2ant30KNdcTurYe24Q5AyoF+5VDNLiojEQCMyRESkDGj7V8j8hUx3bxtXDBqRISIiIiIiIiIiIiIiaUuJDBERERERERERERERSVta7FtEioWZ3UJYtDovbnT3JblXk3RnZocAF+Wx+rvu/m4xhiMiIiIiIiIiImWA1sgQkWJhZsMJC0LnxW7uPqf4opGSYmZ9gYF5rH6nu/cvvmhKFzOb2qZNmzZTp06NOxQRERERERERkW3atm1LZmZmrGtkaESGiBQLd+8ZdwxS8tx9EDAo5jBERERERERERKQM0RoZIiIiIiIiIiIiIiKStpTIEBERERERERERERGRtKVEhoiIiIiIiIiIiIiIpC0lMkREREREREREREREJG0pkSEiIiIiIiIiIiIiImlLiQwREREREREREREREUlbSmSIiIiIiIiIiIiIiEjaUiJDRERERERERERERETSlhIZIiIiIiIiIiIiIiKStpTIEBERERERERERERGRtKVEhoiIiIiIiIiIiIiIpC0lMkREREREREREREREJG0pkSEiIiIiIiIiIiIiImlLiQwREREREREREREREUlbSmSIiIiIiIiIiIiIiEjaUiJDRERERERERERERETSlhIZIiIiIiIiIiIiIiKStpTIEBERERERERERERGRtKVEhoiIiIiIiIiIiIiIpC0lMkREREREREREREREJG0pkSEiIiIiIiIiIiIiImlLiQwREREREREREREREUlbSmSIiIiIiIiIiIiIiEjaqhB3ACIiIhJkLl+JPf1a3GHs1PofdXjcIRRav3JPxx2CiIiIiBSlRa/EHUHhZE6LOwIRKawVcQegERkiIiIiIiIiIiIiIpLGNCJDRERE8m/jBsicDN9NgB+nw7IlUK4c1N8VOu0Phx8HlSvHHWXebNwIHw+BcaO5+5rlVKldmz0P7UWv62+hZsNGhTr1L99NYuaoEcyfNIH5k79l1cIFAPSftagoIhcRKXPGf/cLw774kbGT5jN20nzmL/wNAJ9zV8r67w2bxuAPM5kw9RcWLFrNylXrqVOrCl3bNebyc/fn+MNblWT4IiKlwvjv1zNs7BrGTl3H2Mz1zF+0GQAf2zrmyKQ06XkvjJieffmH18PR7UsuHin7lMgQERGR/Bv7Jbz8bPi9YRNo3xnWr4NZP8D7b8G40XDdHVCzVrxx5mbTRnjkHpj9A9SqTesjjmbFvLlMfOtVZnw+jIsGf0Dd5i0LfPoRjz/I9GEfFV28IiJl3N2PDWfIsLxPQfKftyfy9kff03bv+hzQsQk1qlVizrwVfDj8Bz4c/gO3Xt6df9x0RDFGLCJS+tz93BKGjFwddxhSRpzaFapX2nF/kzolH4uUbUpkiIjsRMysLzAQuNPd+8cbTbzMbBDQBzjM3YfHG00pVL48HHI49DoGGjX5ff/K5fDEv2DuHHjzP3DhVbGFmCcfvBOSGLvvBVf9ldNPOg6A0QOe4pN/9GPIzddy/qvvFvj0zTp1ZdfWbWjSvhON23fkke5d2bJxQxEFLyJS9nTr3Iz2++zKfu2bsF/7JrQ85GE2bNycbf2/XdGDZ/5xIvXqVN1u/9ffzuUP57zAfU+N4swT29Ou9a7FHbqISKnRrV0V2u9Vif3aVGa/farQsvdMNmz0uMOSUuqBP0HL+nFHITsDJTJEpFiZWU/gc+AFd+8bazAiUnS69Qg/WdWqA2ecD/f3g4nfwObNUCFN/7mxeTOM+CT8fsb5202FddBFf2bS26/z09ej+eW7STRu16FATRxy2dVFEamIyE7j5j93z1f9TvumngLwgE7N+NPx+/Lc6xP4/KvZSmSIiCS5uU+9uEMQEck3LfYtIrJzeQfYB3g87kDSwK2EazE27kDKnKYtwnbzJlizKt5YcjJzOqxbG9b1aLbbDsVtjjkBgOn/+7ikIxMRkSKQUaE8ABUzyscciYiIiIgUVpo+IikiIsXB3VcCK+OOIx24+wJgQdxxlEmLo4Wsy5eHqtXjjSUn834K22YtUxY3ahtWpvt1WmYJBSQiIkXlu2m/8vr7U8jIKM8R3feIOxwREZEy67mRsHQNlDPYuyH07gzNNehHioFGZIgUITNrZmaPmdkMM1tnZsvMbJyZ9TOzmlnqVjWz281sSlR3pZmNNLMzsjn3HDPz6Pcrko6bbWY3mZlFZZ3NbGjU9mozG2JmLVKcb5CZuZn1NLNjzGxUVH+5mb1tZq1THNM/OqZvbjEm2iBMKwXQJzo28dM/xbV73Mxmmtn6KP73zeygFO30jM4xyMwamtkAM5tnZpvN7NpUseUmr+2bWUcz2xCVN01xnmej2J7JJt5G0fbX6PObYGbn5RBXXTO718wyk+6Tz8zs+BR1W0btDDezmmb2UHR/bDKzR6I6fVNd/6jMzOzM6PzLo+vwffS5V01Rf3h0rpZm1tvMxpjZmujavJrq+mRpZ5iZLY3amWNmb5jZ4Snq5/neyI/k70CW/fXN7L7omq+OrvkMM/uPme1fmDZ3Gp9/GLZtOkBGRryx5GT50rCtk/pf2TUbhelKVv4yr6QiEhGRAhr66TT63vA2Z1/zFt1PH0DHY59k7bpNPHvviezRom7c4YmIiJRZ9wyFpz6DJ/4H17wMe94Edw+JOyopizQiQ6SImFl34D2gNjAHGApUAVoD/YEhwMSobg1CB38XYDHwPlAN6AV0N7Nu7n5NNu08DFwaHT8b6AH8E6hmZp8AnwDTgGFAZ+BEoK2ZtXP3dSlOeTrwZ2BcFHN74GSgl5n1cPdJBbwkAKOAhsBRwMzodcLEpPfUDfgvUAeYHv1ePzruaDM7291fT3H++sA3hD/LRgGVgbX5DTI/7bv7RDP7G3A/8IKZ/cHdEwmm3sBFwAzg+hRN1QXGAJWA4VF7h0Xn2T3r4ttmtjfwKdCMcE99DNQADgSGmtlf3P2BFO1UAUYALaLtBGB5LtegHPAScCawmnA/LAe6Av2AY8ysZzb30OXR+/0C+AA4ADgD6GJmHZKPMbPywKuE+24j8CXwa/QejwMqAv9Lql/Qe6NAou/m18BuwFzC92gz0Dx6T7PQVFQ5m/ItjB4eRmOc+Me4o8nZhvVhm1ExZXFGlZC/27B6dUlFJCIiBTTp+4W8MHjittdVKmfwaL9jOPeUgq1xJCIiIjk7tBVc1AMO2hMa1Ya5y+Ctb0Ji4453oGYVuObIuKOUskSJDJEiYGZ1gcGEJMZfgIfcfWtSeTfgl6RD/kFIYnwOnOTuq6J6rQkdz1eb2TB3fz9Fc38E2rn7zKRjJgI3AucBN7j701FZReBDQoLkDGBgivNdDlzi7s9GxxhwL3AzMAjolL+r8Tt3H2BmPxI6nUelWuzbwkiVwUBN4Bx3fzmprCshMTPAzD5z98VZDj+WsObDWe6+viAxFrD9B4FjCNf1BuABM2sEPAtsAs529zUpmjuB0DF+cqLczPYDPgNuN7P33H1CtL888Bahg/8m4MHEPWVme0Zx3WdmH7n7lCzt7A98Bezu7ivyeCluICQxhgNnuvvCqK2KwJPAhYSExi0pjr0C6O7uX0XHVI3e50HROZ9PqnsrIYmRCRzv7rMTBWZWC+iY9Low90ZBnUZIYrxH+JySv8f1Aa0UmpOF82HgE+AOp5z9+1oZIiIixey2q3py21U9Wb9+Ez/+tIynXvqGS259j/c+ncbgp86gYkX911dERKQo3XXK9q/3bgh/PQG67gZHPQD934VLekKV1M+NieSbppYSKRoXEZ4S/8jdH0ju/ARw96/cfRGAmVUjdApvBS5PJDGietOAe6KXKUdkAHckkhhJx3wAVAXmJZIYUdlG4NHoZY9szjc6kcSIjnHgdmAe0NHMDsnxnRfeBUAj4JHkjuoolnHA3UB14JwUx24AripoEqOg7UfXqA9hxMLfzawTIemzC3BndFwqW6N4tyU53P0b4AnCn8eXJ9U9AWgHDHb3+5PvKXf/kZB4KA9cnE1bV+c1iWFmFQjJkjXAGYkkRtTWRuAqYCFwSTRyI6uHE0mM6Ji1wEPRy0OT2qkYxQ1wQXISIzpupbuPSNpVmHujoOpH289SfI8Xp0ga5ZuZTU31A5TuCbxXLIN/3wdr18Dhx0KvY+KOKHeVKoftpo0pizetCwO8KlVP43U+RERkO5UrZ7Bvq1154u7juarvAbz/vxn8+4Wv4w5LRERkp3HkviGZsWItfD0z9/oieaVEhkjR+EO0fSbHWkEXwtQ/E6IkRFYvRtuDs+k0/iTFvll5KGuUTTyvZd3h7psIowEAumdzXFFJDDR8O5vyL6JtqrUJJrj7/Djad/d5hCm+KhJGMRxJmN7qvhzamuju01PsfzXaJl/rwlyXBTkkU1LpTEjCjHb3X7MWRlNDjSdM77RXiuNT3Xczom3yfdeVMGppkrvnpUehMNegoMZH27+Y2RnRVFOSmzWr4bF/wLIl0K0HnFqUuaVilFgbI7FWRha/LQhrwddqnHK5FxERSXPnntwRgCHDUv2TW0RERIrLXtFcBgtWxhuHlC0aXytSNJpF27zkmhtH2zmpCt19hZmtBGoROo6z9rCl6rhfnYeyStnE81M2+xPxNc6mvKi0jLZfhlmtsrVLin0/x9m+u79pZu8Q1hRZC5zr7ltyOEd+rnUirpfNbLvRCLnFRf6vS6KtIyxpsfYc2suajEm1EnJipFHyfZef70lyXAW5NwrE3f8XrUNzLSHBtNnMJhCmynre3WfldHwe22iban80KqNNYc9f4tavh8fvgwXzoeP+cM4lkPPnlT4SU1/NnZOyeMHUyQDs2rr0fSwiIgK71A1rHS1emmrGTxERESkuy6O/eqtl1xMlUgBKZIikp2w7k7NOd5NFTmUloSCjvBLHvEWY2ig7qR6lK8yUUoVuP1oXIzGKoiqhE3pOEcSUHNdHhMWws7Mkxb78XpdEWz8SFt/OSapH14vrvivMvVFg7n69mT0DnEQYbXUwYdTHTWZ2prsPLsr2SrVNm+DpB2DOTGjTHi68CsqVosGee7SCKlVh8a8hmdGs5XbFmR8OBaDV4UeVfGwiIlJoI8bMAWCPFnXjDURERGQnsvg3+CKao6Gzlk2UIqREhkjRmAu0Jsxx/10udROLfqf84zxa8Lg2sI6wBkNxy+6vlcT+5EXKExPJ7zBhfLQ4dcMCtD8PaAXc5+7jc6tcDArUfrQo+kDCaIBXCYuwP29m7XJYeDo/1zoxymFACXScJ9qalmpB9iI0N9rmdS2I2O6NaAqwfwH/MrPKwJXA/cBThAXIZetWeP7fMH0q7NkaLr0eKpSyf1ZUqAA9joSP3oXXBsLVt24rGj3gKX6dlkmLAw6icbsO8cUoIiLZWrx0De9+8j1n925P1SwriQ774kduui/Mfnn+6Z3iCE9ERKTMGv0DLPoNTugE5ZOeZZuzGM75P1izAU7sBE31LIEUoVLW4yCStj4FjgAuAd7Npe54QpKii5nt5e4/ZClPTC7/ZS6jL4rKH4F/J++IFn8+NXo5KqloQbTdO8V5DgMyUuxPJD+y+/NmGHA4YXqmOBIZBW3/KuAowgiGc4EfgDuA54ATszmmYzaf+RnRNvlaDyMsCn8yxd9x/g2wEuhhZnXdfVkxtTMeWAF0MLP93X1sLvXjvjcAiBaTf8DMrgcamVkDd18UVzxpY/jHMPGb8Hv1GvDq86nrnXo2VK9ZcnHl17Enw7QpMGsG9LuON4e9y4r585g/cTxV6+3CSf98pFCnn/HZMEY8/tC211uihcWfPeX3xdB7XHk9e/c6olDtiIiUFf/9bDp3PzZi2+uNm8KsnQf2/r9t+26/ugfH9WrFmrUbueTW97j2rg/p0q4xTRvWZM3aTcyYvYRpM8Og1esu7Mapx6Sc1VFEZKf131Grufv53wf3b9wUJoU48II52/bdfsEuHHfIDs8wigAwYyGc/xw0rBVGXdSuCj8thfFzYP0maNsEnj0/7iilrFEiQ6RoDAD+AhxjZtcCj7r7tumhzOxAYJa7L3L3NWb2PHAF8ISZnezua6J6ewO3RYc9VkKxH2JmF7h7ci/knUBzYLK7f5G0f2S0PcfMHnL3OQBmthvZx5sYZdAqm/JngOsJ0/b8TBiBsC2BEyVVDgfmu/uUfLyvvMp3+2bWBvgnYR2Ic919i5ndDRwNnGBml7n70ynaKgf828xOcfe10bm6EJ72d8LT/gmDgUzgbDObDvzL3TckxWXAQQDuntt0UDly9w1m9i/g78Db0f2w3VoQZtYE6OXuL6Y8Sd7beZhwfz1nZse7+7Z1Q6LRSB3dPdF7UeL3hpn1Bha6+5gs+7sAuxLWnFlRFG2VemuTZvtKJDRSOf60FGO40khGRbjudvh4CHzzJdOGfUiVWrXpeOoZHHb9LdRqVLhlgtYsW8r8iTvm4ZL3rVmWerFxEZGd0eKla/l64o7LbyXvW7x0LQANdqnGv249kuFjZjN1xmLGTf6FrVudRg2qc8YJ7bj0rK707LZbicUuIlJaLF6xma+n7DgjcfK+xSs2l2RIUsocsAf8uRd8PRO+mQ3L10K1itCxOZy+XyjLMlhSpNAsqa9VRArBzHoC7wE1gNmEp9yrAPsAewKd3H1iVLcG8DnQBVgEjACqAb2AysBj7n5NlvPPAVq4+w6r6JpZf6AfcL67D8pS1jKKZ4S790zaPwjoQ+g8vyyKdybQHmgL/Ab0dPdvs5zvBeA8whP8IwlrQxwIfEBYR2CHGM1sUnTeb4CpwBbgPXd/Lyo/EBhKmKZpLjCFMK1WQ6AzYaqtk9393ah+z+j6vVAUUyHlp30zqwh8DXQE+rj7f5LOsxfwLWBA52h6ouR43wc6EEaujCQs6N4ren2Pu9+eJa69gI+B3Qj3yeRou0vUfgPgOnd/JKrfkhSfdZZz9iVMiXWnu/dP2l8OGEQYXbIxeh+zgYqEJFQbQmKrY9Ixw4EewG6JpFZSWcpYouTDm0DvqJ0vovfUjHCth7l776T6+bo38iPpO3CYuw+P9j0CXAPMj67Bb4RF2LsD5YEb3P2hFKcrNDObSqMmbbjjgeI4veRR/6MOjzuEQutXLlUeVURERERKrUWvxB1B4WQW6bKGIhKDtn+FzF/IdPfYhrpqRIZIEXH34WbWAbiJ8GR+b8LT27MJUw7NTKq7ysx6ADcAfyJMRbQRGAc86e6vlmDobxCSEH8lLG68CRgC/NXdM1PUv5gwyuJswtRKc4F7gftIeo9ZnEpYX6A7IXlTjrD+wXsA7j7GzNoB1wHHETrHIUxlNQJ4hzB9V7HIZ/v3EJIIbyYnMaLz/BBNP/QM8LKZdXP3TUlVlhKSPv8kXLuahFEXj2RNQCWdrxNhxMYp0bEVgIWETvb3CJ9foUUjHc4zs7cIU6TtR0gULCd8xvcDrxdBO5vN7FRCwuQCoCshebeAkOh5Kkv9krg3kjP6g4DNwKGExFwtwvX+gDDS6n+FbEtERERERERERPJJIzJEdlKpnkaX4lHUI0ikaJjZ64Q1YvZ39xzmRiqxeDQiIw1oRIaIiIiIpB2NyBCRmKXDiIxyuVcREREpW8ysPGFkjQOzcq4tIiIiIiIiIiJxUiJDRER2Kmb2DDAJ2Bv42N210rKIiIiIiIiISBrTGhkiUqaY2S1A6zxWv9HdlxRnPFIyzOwQ4KI8Vu8DrCCsL3JVccUkIiIiIiIiIiJFQ2tkiEiZYmbD+X1B6Nzs5u5zii8aKSlm1hcYmMfqd7p7/+KLpmDMbGqbNm3aTJ06Ne5QRERERERERES2adu2LZmZmbGukaERGSJSprh7z7hjkJLn7oOAQTGHISIiIiIiIiIixUBrZIiIiIiIiIiIiIiISNpSIkNERERERERERERERNKWEhkiIiIiIiIiIiIiIpK2lMgQEREREREREREREZG0pUSGiIiIiIiIiIiIiIikLSUyREREREREREREREQkbSmRISIiIiIiIiIiIiIiaUuJDBERERERERERERERSVtKZIiIiIiIiIiIiIiISNpSIkNERERERERERERERNKWEhkiIiIiIiIiIiIiIpK2lMgQEREREREREREREZG0pUSGiIiIiIiIiIiIiIikLSUyREREREREREREREQkbSmRISIiIiIiIiIiIiIiaUuJDBERERERERERERERSVtKZIiIiIiIiIiIiIiISNpSIkNERERERERERERERNKWEhkiIiIiIiIiIiIiIpK2lMgQEREREREREREREZG0pUSGiIiIiIiIiIiIiIikLSUyREREREREREREREQkbSmRISIiIiIiIiIiIiIiaatC3AGIiIhIkLl8Jfb0a3GHUWD9jzo87hAKrV+5p+MOQURERBKG3xF3BCIiIgKwIu4ANCJDRERERERERERERETSmEZkiIiIlFU/zYJp38GcmeFnxbKw/6lXi66NjRvh4yEwbjR3X7OcKrVrs+ehveh1/S3UbNioUKf+5btJzBw1gvmTJjB/8resWrgAgP6zFhVF5CJSyoz/7heGffEjYyfNZ+yk+cxf+BsAPueuHI8b9Oa3PPnSWDJ/WEzFjPIc2Kkpt13Vg4O6NC+JsEUkn9at38S9T47ktaFT+Hku1K0OR7eDu0+BJnXijk5EEsbPgWFTYOxsGDsL5i8P+31QzscN+gKe/Awyf4GKFeDAPeC2E+CgvYo7YhEp7ZTIEBERKas+fAcmjSu+82/aCI/cA7N/gFq1aX3E0ayYN5eJb73KjM+HcdHgD6jbvGWBTz/i8QeZPuyjootXREq1ux8bzpBh0/J1zLV3fsCjA8dQpXIGR3bfg/UbNjNs1Ew++WImbz35J3oftU8xRSsiBbF+/SZ6nTmQMd/Oo1GDGpzUGeYsgYFfwPsTYcztsHuDuKMUEYC7h8CQb/N3zLUvw6PDoEpFOLItrN8Ew6bCJ1PgrSugd5fiiVVEygYlMkREYmZmfYGBwJ3u3j/eaOJlZoOAPsBh7j483mjKgN32gibNocXu0GIPuO1q2Lyp6M7/wTshibH7XnDVXzn9pOMAGD3gKT75Rz+G3Hwt57/6boFP36xTV3Zt3YYm7TvRuH1HHunelS0bNxRR8CJS2nTr3Iz2++zKfu2bsF/7JrQ85GE2bNycbf1PR83k0YFjqFenKl+9fTF77VYPgK/G/0zPMwdy/l/eoeeBLaldq0pJvQURycU9j49gzLfz6Na5GZ+8eB7Vv/k7AA99BDe8Bhc8B8NvjTlIEQGg257Qvhnst1v4aXkjbMj+r2U+nRqSGPWqw1e3wV4Nw/6vfoSe98H5z0HP1lC7WsnELyKljxIZIjshM+sJfA684O59Yw1GRIrPUScW37k3b4YRn4TfzzgfKlfeVnTQRX9m0tuv89PXo/nlu0k0btehQE0cctnVRRGpiJQRN/+5e77qPzRgNAC3XXnotiQGQLcuzbnsrP14bNAYnntjAjdcfHCRxikiBbNx42Yef2EsAE/cdTzVq1XaVnb90fDClzBiepjOpkvLeGIUkd/dfFz+6j/0cdjedsLvSQwICZHLDoPHhsFzI+GGY4ouRhEpW7TYt4hI/N4B9gEejzuQNHAr4VqMjTsQycXM6bBuLdTfFZrttkNxm2NOAGD6/z4u6chERFi3fhOfjZ4NwGnHtt2h/LRj2wAw9NPpJRqXiGTvy3E/s3LVevZoUZdO++64ztZpXcN2aD6nshGR+K3bCJ9lht9P22/H8m3f74klFpKIlEIakSEiEjN3XwmsjDuOdODuC4AFcccheTDvp7Bt1jJlcaO27QH4dVpmCQUkIvK76TOXsGHjZurXq0bTRrV2KO+8b2MAJk/7taRDE5FsTPp+IQCdUyQxADq3CNvJ80oqIhEpKtMXhGmn6teApnV3LO/cMmz1/RaRnGhEhpR5ZtbMzB4zsxlmts7MlpnZODPrZ2Y1s9Stama3m9mUqO5KMxtpZmdkc+45ZubR71ckHTfbzG4yM4vKOpvZ0Kjt1WY2xMxapDjfIDNzM+tpZseY2aio/nIze9vMWqc4pn90TN/cYky0QZhWCqBPdGzip3+Ka/e4mc00s/VR/O+b2UEp2ukZnWOQmTU0swFmNs/MNpvZtaliy01e2zezjma2ISpvmuI8z0axPZNNvI2i7a/R5zfBzM7LIa66ZnavmWUm3SefmdnxKeq2jNoZbmY1zeyh6P7YZGaPRHX6prr+UZmZ2ZnR+ZdH1+H76HOvmqL+8OhcLc2st5mNMbM10bV5NdX1ydLOMDNbGrUzx8zeMLPDU9TP872RH8nfgSz7O5rZv8xsvJktjj7vWWb2pJk1zlK3c3SOr3No56qozkNJ+/aMrutXZrbQzDZG9/B/zGzvwryvMmn50rCtUy9lcc1GoRNi5S/634iIlLyffwnPBzRtWDNlebWqFaldszLLV65j1WqtvSOSDnL73iY6P39aUlIRiUhR+XlZ2KZKYgBUqwS1q8LyNbBqXcnFJSKlixIZUqaZWXdgMnAVkAEMBb4EagH9gd2T6tYARgJ3AQ2A96O6+wOvmtmjObTzMHA/8BPwKVAP+CfQ38wOBr4AGgPDCE+bnwj8z8yyW13ydOC/QMUo5l+Ak4ExZlawyeZ/NwpIzPUyE3gh6Wdi0nvqBkwCrgA2RfFMAY4CRprZn7I5f33gG+A44CvgQ2BtfoPMT/vuPhH4G1AHeMEsJJCi8/QGLgJmANenaKouMAY4GhhO+KzaRefpnyKuvQnX6RagCuFajgMOAIaa2Y3ZvKUqwAigb3T8e8DyXK5BOeBl4BVgv+i4D4BqQD/g8xzuocuBt4B10TGrgTOAz7IeY2blgdejdg4lXPd3gHmEz/GqLPULem8Uxi3AddHvo6L3ZMCfgXHJyQx3nwBMA/Y3sz2yOd/Z0falpH0XAXcQru83hM/oN+Bc4Bsza180b6WM2LA+bDMqpizOqBLybBtWry6piEREtlm9diMAVatkZFunWtXw59eqNUpkiKSD3L63iSUzVq0vqYhEpKisjr63VVP/1wHQd1xEcqeppaTMMrO6wGCgNvAX4CF335pU3o2QIEj4B9CFMFrhJHdfFdVrTeiAvtrMhrn7+yma+yPQzt1nJh0zEbgROA+4wd2fjsoqEjr3exE6lgemON/lwCXu/mx0jAH3AjcDg4BO+bsav3P3AWb2I6HTeVSqxb4tjFQZDNQEznH3l5PKugKfAAPM7DN3X5zl8GMJneBnuXuB/glSwPYfBI4hXNcbgAfMrBHwLKGz/Wx3X5OiuRMICaaTE+Vmth/wGXC7mb0XdYwnOvzfApoBNwEPJu4pM9szius+M/vI3adkaWd/QmJnd3dfkcdLcQNwJiHBcqa7L4zaqgg8CVxISGjckuLYK4Du7v5VdEzV6H0eFJ3z+aS6txKSZ5nA8e4+O1FgZrWAjkmvC3NvFMYzwDXuvm0OkCjRcxtwJ3APcEFS/ZeBu4Gzoi1Jx+1BSDxNS3y2kXeBZ5Lff1T/fML1eoRwf4mIiIiIiIiISAnSiAwpyy4ijA74yN0fSE5iALj7V+6+CMDMqhE6hbcClyeSGFG9aYROUoBrsmnrjkQSI+mYD4CqwLxEEiMq2wgkRnf0yOZ8oxNJjOgYB24nPCHf0cwOyfGdF94FQCPgkeSO6iiWcYSO4erAOSmO3QBcVdAkRkHbj65RH8Ioh7+bWSdC0mcX4M7ouFS2RvFuS3K4+zfAE4Q/Iy9PqnsCYbTGYHe/P/mecvcfCYmH8sDF2bR1dV6TGGZWgZAsWQOckUhiRG1tJIySWAhcEnXoZ/VwIokRHbMWSEyjdGhSOxWjuAEuyNqJ7+4r3X1E0q7C3BsF5u6fJycxon1b3f0uYD5hlFOyRGxnpTjd2VnqJM43Juv7j/YPJIzO6hkldgrFzKam+gGyGz2SnipVDttNG1MWb1oXBmJVql69pCISEdmmevTI59p1m7KtsyZ6+rtG4hFQEYlVbt/bxOCpGpVLKiIRKSrVo+/t2tT/dQD0HReR3GlEhpRlf4i2z+RYK+hCmPpnXJSEyOpF4DHgYDMrlzUpQngKPatZeShLvZIdvJZ1h7tvMrO3gGuB7oTpdYrLkdH27WzKv4i2+6com+Du8+No393nmdmlwBuEUQw1Cdfpvhzamuju01Psf5UwAqZ7YeOKLMghmZJKZ0ISZljWDnwAd19nZuMJUz/tBWR9D6nuuxnRNvm+60oYtTTJ3bNdUyJJYa5BoZhZPULCYl9CzOWjogygnpnVdfdlAO4+28xGAweZWecsIy9SJjKiNqoTElYdCdOOJeY2aESYymoPYELW43ZKibUxEmtlZPHbgrBme63GKZdlEREpVs0bh7zzvIW/pSxfs3YjK35bT51aVahRXYkMkXSQ2/d2XjTHfotdSioiESkqzaO1MRLf46zWbIAVa6FONaiR3eTJIrLTUyJDyrJm0XZmjrWCxPz6c1IVuvsKM1tJWFujDpC15y5Vx/3qPJRl9z/nn7LZn4ivcTblRaVltP0yabmJVFL9N+LnONt39zfN7B3CmiJrgXPdfUsO58jPtU7E9bKZ7dAJnlNc5P+6JNo6wpIWa8+hvayJjFQrLCdGGiXfd/n5niTHVZB7o8DM7Ezg/wijPbJTA0j+p/HLhKm0ziZKPkTTX+1NGPWUdQqpXoQkYv1c2igUd2+ban80KqNNYc9fYpq2CNu5c1IWL5g6GYBdW5eetyQiZUerPXahUsUKLF66hvkLf6NJlsWDJ0wJs4u2b71rHOGJSAod9mkIwIQpC1KWT4j+1d5ez0iIlDqtGkGlCrB4FcxfDk3qbF8+YU7Y6vstIjlRIkMk77LtTE4xQiNZTmUloSBTyCWOeYswtVF2Uo1eKYqluQrcfrQuRmIURVVCx/CcIogpOa6PgB1GSSRZkmJffq9Loq0fCdMa5STVI/HFdd8V5t4oEDNrQZgmDMKIpP8C8919XVQ+GuhGGDGR7HXCuhZnmNlfou9pytEY0UiMNwijMO4iJDR+Ata5u5vZK4S1RXLM3uxU9mgFVarC4l9DMqNZy+2KMz8cCkCrw48q+dhEZKdXpXIGvQ7ajQ+H/8Cb/53CtRcetF35Wx9kAnDCH1rFEZ6IpHBw1+bUqlGZmT8tY+LUBXRsu/3g9beisc0nFHi1QBGJS5WK0KsNfDgZ3hwL12b5L8K273fHEg9NREoRJTKkLJsLtCZMBfNdLnUTi363SFUYzYtfG1hHWIOhuKWMI2l/8iLliVkmd3hSPVqcumEB2p8HtALuc/fxBTi+sArUfrQo+kDCaIBXCYuwP29m7XJYeDo/1zoxymGAuw/Oa1wFlGhrWqoF2YvQ3Gib1/UZ4rg3jgUqAg+4+6MpyndPdZC7LzWzj4HjCetbjADOICz+/nqW6t2BesBb7t4vr23s1CpUgB5HwkfvwmsD4epbtxWNHvAUv07LpMUBB9G4XYf4YhSRndr1Fx3Eh8N/4J7HR3Jcr1bstVuYEu+r8T/zzCvjqF2zMhf+sXPMUYpIQsWKFbiyz/78/fGRXHHH+3zyYh+qRWUPfQST50KPVtClZZxRikhBXX9USGTcMxSO6wB7RT0VX/0Iz3wOtavChYfmfA4R2bkpkSFl2afAEcAlwLu51B1PSFJ0MbO93P2HLOWJhYu/zGX0RVH5I/Dv5B3R4s+nRi+T18dIjL3eO8V5DuP3Of6TJZIf2f0ZMAw4nDA9UxyJjIK2fxVwFGEEw7nAD8AdwHPsuBh0QsdsPvMzom3ytR5GWBT+ZKC4ExnfACuBHslrPxSD8cAKoIOZ7e/uY3OpH8e9kRh4vMN0WWZ2KJDTvCAvExIZZxHW1GgIvO/uWUex5NTGnoQ1S0qf7ybAB+/8/nrL5rD95+2/7zv2ZGhXwLd37MkwbQrMmgH9ruPNYe+yYv485k8cT9V6u3DSPx8pcOgAMz4bxojHH9r2eku0sPizpxyzbV+PK69n715HFKodESkd/vvZdO5+bMS21xs3hZkjD+z9f9v23X51D47rFUZZ/OGQPbjm/AN5dOAYOh77JEccsgcbN21h2KiZuMPA+0+mdi1NxC2STm67sgefjprF6PFz2avno3RvCT8tga9nQf0a8PyFcUcoIgn/nQh3v/f7643RhM4H3vX7vttPhOM6ht//0BauOQIeHQYd74Aj2oZjhk0l/L18IdSuhohItgoy5YxIaTGAMMXPMWZ2rWWZ0N/MDjSzBgDuvgZ4nvCdeMLMqiXV2xu4LXr5WIlEDoeY2QVZ9t0JNAcmu/sXSftHRttzzKxlYqeZ7Ub28SZGGWQ3n8IzwCLgJjO7xMy2+7PCzCqY2VFmtm/ub6VA8t2+mbUB/klYByKxLsbdwFjgBDO7LJu2ygH/NrOqSefqAlxJmE7sqaS6g4FM4Gwzu93MtlvjxIKDzezggr3t37n7BuBfhDUZ3jazHUYEmFkTMzu3CNp5OHr5XDSNU3IbtcysR9KuOO6NxCLl52T5bjYBns7l2CGEe+JUIPGdSrW+SaKNU8xs2xoZZlabkAhLlRBMf6tXwZwff//xaIa85H2rV+V8jpxkVITrbodjT4GKlZg27ENWzp9Lx1PP4NL3PqVu85aFCn/NsqXMnzh+208i/uR9a5alXmxcRMqexUvX8vXEedt+PPozIXnf4qVrtzvmkX7HMvD+k9lnz/oMGzWTrybM5Q8H787INy6g91H7xPE2RCQHlStn8Plr53P71T2oWiWDdyfAT0uh7yEw4U7YvUHcEYpIwuJVIcmY+En8VyN53+Is/9V45OyQsNincUhgfPUj/KENjLwVencp+fcgIqWLJf4DIFIWmVlP4D1CZ/BswlPuVYB9gD2BTu4+MapbA/gc6ELoqB0BVAN6AZWBx9z9miznnwO0cPcd5s03s/5AP+B8dx+UpaxlFM8Id++ZtH8Q0IfQeX5ZFO9MoD3QFvgN6Onu32Y53wvAeYQn+EcS1oY4EPgA2D9VjGY2KTrvN8BUYAvwnru/F5UfCAwlTNM0F5hCmFarIeHp9NrAye7+blS/Z3T9XiiKqZDy076ZVQS+BjoCfdz9P0nn2Qv4lrC2QWd3n54l3veBDoSO6pGEBd17Ra/vcfekR9e3ne9jYDfCfTI52u4Std8AuM7dH4nqtyTFZ53lnH0JU2Ld6e79k/aXI6wNcS5hFM230bkqEpJQbQiJrY5JxwwHegC7ufucLO2kjCUa7fMm0Dtq54voPTUjXOth7t47qX6+7o38SPoOHObuw6N9FQmLdbcFFhJG3FQmjDiaGB16UKr3HB2f+H5ASGrsmlhfI0u9TwijuFYAw6PdPQkJ0anASclxFTUzm0qjJm2444HiOH2J6H/U4XGHUGj9yuWWGxMREZESM/yOuCMQERERoO1fIfMXMt29bVwxaESGlGlRh2MHwlPbRuioPZjQ4X8HIUmQqLuK0AHcj9BxeSJh3vxxwFlZkxjF7I2o/S2EztOmhCfLu2VNYkQuBu4jJDqOAloC9xIWJ87OqYQpt3YndPJeSNL0Oe4+BmhHGBXwG+Ha9CasHTEC6EuYvqtY5LP9ewhJhDeTkxjReX4Arickd142s6xP1i8lJH0+JXSM9ySMujg/axIj6XydCKN05kXHnkKY2utb4ArgpQK+7axtbXX38wj3wDBC8uRU4BDC4uH38/sog8K0szk6b19gDNCV8J6aEhI9j2SpXxL3xrYsu7tvJHwXnyK87+MJych/ExIPm3I5V/IIjHdSJTEiJwF/BxYDxxCSmq8RPuMV+X4HIiIiIiIiIiJSJDQiQySNpHoaXYpHUY8gkaJhZq8T1ojZ392/iTuekqQRGelBIzJERETSiEZkiIiIpAWNyBAREYmYWXnCyBoHZsUbjYiIiIiIiIiIpAslMkREJHZm9gwwiTBF18furhWcRUREREREREQEgApxByAiZZ+Z3QK0zmP1G919SXHGIyXDzA4BLspj9T6EdSjeAK4qrphERERERERERKT00RoZIlLszGw4YUHovNjN3ecUXzRSUsysLzAwj9XvdPf+xRdN+jOzqW3atGkzderUuEMREREREREREdmmbdu2ZGZmxrpGhkZkiEixc/eecccgJc/dBwGDYg5DRERERERERERKOa2RISIiIiIiIiIiIiIiaUuJDBERERERERERERERSVtKZIiIiIiIiIiIiIiISNpSIkNERERERERERERERNKWEhkiIiIiIiIiIiIiIpK2lMgQEREREREREREREZG0pUSGiIiIiIiIiIiIiIikLSUyREREREREREREREQkbSmRISIiIiIiIiIiIiIiaUuJDBERERERERERERERSVtKZIiIiIiIiIiIiIiISNpSIkNERERERERERERERNKWEhkiIiIiIiIiIiIiIpK2lMgQEREREREREREREZG0pUSGiIiIiIiIiIiIiIikLSUyREREREREREREREQkbSmRISIiIiIiIiIiIiIiaUuJDBERERERERERERERSVtKZIiIiIiIiIiIiIiISNpSIkNERERERERERERERNKWEhkiIiIiIiIiIiIiIpK2lMgQEREREREREREREZG0pUSGiIiIiIiIiIiIiIikrQpxByAiIiJB5vKV2NOvxR1GgfkxP8QdgoiISNFZ9ErcEYiIiEhC5rS4I9i5rfj/9u47Tqrq/OP45wHpgkhTFAEVEEGxRlFEEQt2sSV2sbeo/GwxiSjWaCyxRCMRFU0sMfYeUURFUARFhAULiIqCILCUZXdpz++PcwaGYWb77gzs9/167WvYe8+555k79w5wnnvOyXYAGpEhIiIiIiIiIiIiIiI5TCMyRERENlTfT4epX8KMaeEnf37Y/o+nq66NJUtgyF3w3TfYypXUqWNs235TnrrvBHbvsWXVtSNSy035di433/8+I0ZPZ/7CQtq2bsoRB3Rh8MD9adWiSbbDExERqVHjpxQxfGwBYycXMjaviJ/mrADAx3Ytsd6w1/J58Ll88r4rpn49o+cOjbj2rJbs3aNxTYQtIrXE0mJ4exK8OgFGwFKXiAAAUQdJREFUfQPf/wp160CnzeC43eHyfrBxw2xHuf5RIkNERGRD9eaL8MW46jv+0iVw7SVQXARmbNW2GfMXFvLNjPnscfQQRjx9Jn16bl197YvUEiNGT+fIs59kaeFyum7bir13a8+kr3/hgSfG8vLwqYx54Vzatd0k22GKiIjUmJse+ZWXP1hSrjoD7/6Fe59ZQKMGxsF7NqFomTP8kwLe/qSA5/6yJf37NK2maEWktnnqYzj3sfDn7beAo3aBRYUw+lu4/kV4+mN4/4/Qpll241zfKJEhIuslMxsAPAbc4O6DsxuNrI/MbBhwBrC/u4/MbjTVZOvOsGV76LANdNgWrr0UViyvuuM/cEdIYjRoCDf8jR9OnAvA0ec8ySvvfEX/c58i/8s/V117IrXQ0sJlnHzpcywtXM51l/bhhsv7AuDuXP2Xt7nznx9x9tUv8b9/nZHlSEVERGrOXjs2okfnBvymW0N+s30jOvafRvEyz1j+nbEF3PvMAlpuUpcxj3Sgc/v6AIyZWEifC3/gzJtm0We3xjRvWrem3oKIbMDq1YXz+sDAg0MiI2FWPhz+N/j8exj4FDx1QbYiXD9pjQyRMjKzPmbmsfNTRHKcmc0ws8z/m6kN+h0FR54APXaDTZpX7bGLimD61+HPp5yz1vFfHnoKDRtsxMLFxfz7xS+qtl2RWuaFt6bwy69L2G6bVlw/sM/q7WbGrVcdSMd2zXn7w2l8kTc7e0GKiIjUsD+c0ZIbz2/Nkb2bsnmr0p/RvfupMMXqtWe1XJ3EANirRyMuOLY5+YtX8cgr+dUVrojUMmfsA0MGrJ3EAGjbHB44Lfz5hXGwbEVNR7Z+UyJDRNZXLwLbA3/PdiCy3voj4Roam+1A1kuj3g2vderCb3qts3vv3bYCYOgz1Ti1lUgtMP7LnwHYd88O1Kmz9j/d69WrS6/d2wPw8vApNR6biIjI+qCwaBUjxi0F4Pi+604fldj26oflm6pKRKQidgr/VaZ4BczT1065KJEhIusld1/o7lPd/ddsxyLrJ3efFa+hpdmOZb307dTw2iz9vPy9f9MBgK+/m19TEYlskAoKlwGwabNGafe3bB4WJ/1iyi81FpOIiMj65KsfllG8zGm9aV3abVZvnf27dg0r7k78trimQxORWmh6mJGZenWhRZPsxrK+USJD0jKzrczsPjP72swKzWy+mY0zs+vNrFlK2cZmNsjMJsWyC83sAzM7McOxV0/3YmYXJ9X7zsyuNjOL+3Y1s1dj20vM7GUz65DmeMPilE99zOxQMxsVyy8wsxfMrGuaOoNjnQGlxZhoA3gv/npGrJv4GZzm3P3dzKaZWVGM/zUz2ztNO6unqzKzzc1sqJnNNLMVZjYwXWylKWv7ZrazmRXH/e3SHOfhGNuQDPG2ja+/xM/vMzM7vYS4WpjZX8wsL+k6GWFmR6Qp2zG2M9LMmpnZ3fH6WG5m98QyA9Kd/7jPzOykePwF8TxMiZ974zTlR8ZjdTSz/mb2sZkVxHPzdLrzk9LOcDObF9uZYWbPmtkBacqX+dooDzPb2Mz+aGZfxPO6JLbxXzPrl6Z841j+81h2SXzPaSdYj+dmhpltZOFe/zZ+hlPM7Mykcn3N7D0zWxTP+xNm1jLN8TrFz2KMmc02s2Xxun/CzLqUEkNdM/uDhe+mYjP70cxuN7MGSWX7WLh/OyTVTfzMSCq3+rsjTXtNYjvj4vspMLOpZvZAphhrnfkxh9g0/epk3Tq3ASB/UWFNRSSyQWod/3fz/U/5afd/N3NBiftFRERqux9mhzXi2rVJPwVVk0Z1aN60DgsWrWJxwcqaDE1EaqF73w6vh+wIDdbNrUoJtNi3rMPMegOvAM2BGcCrQCOgKzAYeBmYEMs2JXTw7wbMBV4DmgB9gd5mtpe7X5ahnb8B58f63wH7AbcDTczsbeBtYCowHNgVOArobmY7unu6nrETgAuBcTHmHsAxQF8z28/dKzNR+yhgc6AfMC3+njAh6T3tBbwObAp8Ff/cOtY7xMxOcff/pDl+a+BTwj05CmgIlPsp8fK07+4TzOzPwB3A42Z2oLsnEkz9gXOAr4HL0zTVAvgYaACMjO3tH4+zTeri27Hj9x1gK8I19T+gKdATeNXMrnL3O9O00wh4n9Ah/T7wGbCglHNQB/g3cBKwhHA9LAB2B64HDjWzPhmuoYvi+/0QeAPYEzgR2M3MdkquY2Z1gacJ190y4CPgl/geDwfqA+8mla/otVGiGMc7MdZfCZ9HEdAOOAwoIJzvRPk2hHuqBzCbcF4N2BsYZma7u/slGZp7lnBvv0e4D/YDHrWQe1wcz8fHsb29gNOArc1s38S1FZ0DXA1MIlz3xUC3WP5oM+vt7hMzxPBUfF8jCeexdzzWlsCpscxs4HHgeML30eNJ9UsdwWNmbQnnqDvh2hkZY9wGuAD4hnBv1G7LwlPi1KufdnfL5uHp8RUrVtVURCIbpH336MCtD8Dr733Nr/MLaJX02NZPsxcx/MNpACwu0FOkIiIi6SxZGv492rhh5md5mzSqQ/7iVSxeuoqmTbTgt4hUjze+gEc+DKMxbjo229Gsf5TIkLWYWQvgeUIS4yrgbndflbR/L+DnpCq3EpIY7wFHu/viWK4roYP0UjMb7u6vpWnut8CO7j4tqc4E4ErgdOAKd38o7qsPvEnoRD0ReCzN8S4CznP3h2MdA/4C/AEYBuxSvrOxhrsPNbNvCZ3Oo9x9QGoZCyNVngeaAae6+5NJ+3YnJGaGmtkId5+bUv0wwpoPJ7t7UUVirGD7dwGHEs7rFcCdsRP3YWA5cIq7F6Rp7khCR+8xif1m9htgBDDIzF5x98/i9rrAc4QO/quBuxLXlJl1inHdZmZvufuklHb2AMYA27h7fhlPxRWEJMZI4CR3nx3bqg88CJxNSGhck6buxUBvdx8T6zSO73PveMxHk8r+kZDEyAOOcPfvEjvMbBNg56TfK3NtlGZfQhLjU2Df5Osntts5pfxjhCTGvcAf3L04lt2MkIj8vZm97u5vpdTrQEhWdE7EaGb7Ez7zWwiJm/7u/npS26OBfYA+rBnRBPASMCT5nMU6ZxLO8T2EazJVB0KCr3PS57o1IcF1ipld7+7T3H0qMCCOtGiS7n4txb8ISYxngbPdffWslWbWkfA5iojUiIP37cSuO7Tls0mzOHTAv3jgxiPo1rk1X079hfP//CorVoZ/ptUJSWUREREREclBU3+GU/8J7nDH72Cn9tmOaP2jqaUk1TmEp8Tfcvc7k5MYAO4+xt3nQJh6hdApvAq4KJHEiOWmAjfHX9OOyACuSyQxkuq8ATQGZiaSGHHfMkLHK4SnwNMZnUhixDoODAJmAjub2T4lvvPKOwtoC9yT3FEdYxkH3ARszJqnxpMVA5dUNIlR0fbjOTqD8NT5LWa2CyHp0wq4IdZLZ1WMd3WSw90/BR4gfK9clFT2SGBH4Hl3vyP5mnL3bwmJh7rAuRnaurSsSQwz24iQLCkATkx0dse2lgGXEJ7WPy+O3Ej1t0QSI9ZZCtwdf903qZ36MW6As1I75OP6He8nbarMtVGa1vH1o9Trx90Xufv4pLh3JiTNPgUuTyQxYtlfgPPirxdmaGtgcqLF3d8DPie8tzcTSYxE28A/469r3bPu/nHqOYvbHyOMbOkTk0HpXJryuX5HGIEDYXRGpZjZHsABwBzgnOQkRmxvRgmjRcraxuR0P8C2lTlujasfR2IsX5Z297z8MIBpo430Tw2RyjAzXnjoJLp3acO4iT+zZ/9/0rT7Lex93FDm/FrA4IH7A7DpJunX0BAREantNm4c/j26tCjzSOGCwrCvaWP921VEqt5PC+CQu2BBAVzeDy47ONsRrZ80IkNSHRhfh5RYKtiNMPXPuJiESPUv4D6gl5nVSU2KEJ5CTzW9DPvaZojnmdQN7r7czJ4DBhI6OUellqlCia+hFzLs/zC+7pFm32fu/lM22nf3mWZ2PuHp85GEp81HAbeV0NYEd/8qzfanCSNgkjuUK3NeZpWQTElnV0ISZnjsmF+Luxea2XjC1E+dCVMTJUt33SWmEEq+7nYnjFr6wt0/KUNclTkHpZlASCydaWZ5wAvuPq+UOF5Kcz/i7p+b2ZIMcSwnXB+pphNGO5XrnjWzjQlJrp0JU5XVSyprhE79z9LE8B7rSvcZVVTiO/Dp5OSspNGiFfw4AxYvSrs775s5ADTPsECxiJRdh3bNmfDGhbz4vymMHv8jhUXL6d6lDaf078ELb00BoHuXNlmOUkREJDe13zz8V2PmnBVp9xcUriJ/8So2bVZH00qJSJWbvwQOvgO+nwdn9oY7064oLGWhRIak2iq+TiuxVLBFfJ2Rbqe755vZQmATwroAqZ2r6Trul5RhX4M0+wC+z7A9Ed8WGfZXlY7x9SMreXqHVmm2/ZDN9t39v2b2ImFNkaXAae5e0ipn5TnXibieNLO1RiOUFhflPy+Jtg6ypMXaS2gvNZExM025RGd28nVXnvskOa6KXBslcvevzexqwjRq/wQeMrNJhPU5hqWMHkjEcYuZ3VLCYRum2TY7wzVR7nvWzPoSEo+t16mxRtNyxJDuM6qo8n625ebu3dNtj6MyulVXu1WuU1f4YhwsWph294efhq+JLlu3qMmoRDZYG21UlxMO34ETDt9hre2jx4e/Kvv07JiFqERERHLfdu3r06C+MXfBSn6as5wt26y9uu5nU8PA9h6dquK/EyIiaywpgkPvhryf4djd4OEzQTPCVpwSGVLdMnYmp3siPEm2V4etyHjSRJ3nCFMbZZJu9EplppSqdPtxXYzEKIrGhM7UGVUQU3JcbxEWw84k3SLM5T0viba+JUxRVJJ0oxaq67qrzLVRKne/y8yeBfoDBxE+y/8DBprZ/7l7Ylq2RByjKH9HfWnnpkznLo7EeJYwCuNGQkLje6DQ3d3MniKsR5Lur/Zsfy9Isn0OgOf/DatWwrjRsPvea+0ePf5HAM45cfdsRCdSK8yes5jn3syj5aaNOfaQ9ScPKiIiUpMaNaxD390b8+boAv777mIGnrT2gzbPjQjPRR3Ze+NshCciG6ji5XD0vTB2OvTbAZ6+EOpq9rpKUSJDUv0IdCVM6/JlKWUTi353SLczznHfHCgkrMFQ3dLGkbQ9eZHyxKTu6/xLJS5OvXkF2p8JbAfclrwuQQ2qUPtxUfTHCKMBniYswv6ome1YwsLT5TnXiVEOQ939+bLGVUGJtqZWYIHn8vgxvpZ1TYNqvzbc/UfgfuD+uFbIiYTP9a9m9oS7L2DN+XnJ3e+qjjjKoDfQEnjO3a9Ps3+bGo4nVXk/29qrYUPYpgtM/xr+/TB0WTPQ5OhznqSoeAWbNG3AqcfslMUgRTYMk776hU4dWtCw4ZonSGfOWshxFzzD4iXFDLvzGBo1rFfCEURERGq3y09uwZujC7j50Xkc3mtjOrcP672NmVjIkBfzad60Dmcf1Ty7QYrIBmPlKjjpIRgxBXp3gRcugfrqha80nUJJ9Q7hie7zgJdKKTuekKTYzcw6u/s3KfsTCxd/VMroi6ryW0JH7mqxQ/e4+Gvy+hiz4muXNMfZnzXz9SdLJD8y3TfDCYsEH0M4NzWtou1fAvQjjGA4DfgGuA54BDgqQ52dM3zmiZn+ks/1cMKi8McA1Z3I+BRYCOxnZi3cfX41tTMeyAd2MrM93H1sKeVr9Npw9xXAv83sImAvwnogY2McN8U4spXI2DS+rjONl5l1IqxzUlWWxeNuFM9JWbwD3AKcZGbXpi72vd758jN448U1v6+Mp+H2QWu2HXYM7FjB037xVfDH30NxEVxzIe3vacr8hUUULF2GGbz08MkVj11EVrvznx/x4ttT2LV7W9q2acqceQWM+vQHipetYNCl+3HG8btkO0QREZEa9fqoJdz06JpB/cuWh8kgep41Y/W2QWe14vB9wrOLB+7RhMtO3JR7n1nAzqd+x0F7NGHZCmf4JwU48NigLWjeVOtjiEjV+Ps78GLs/WnVFC56In25O08M+6VsNKBFUg0lTPFzqJkNtJQJ/c2sp5m1AXD3AuBRwnX0gJk1SSrXBbg2/npfjUQO+5jZWSnbbgDaAxPd/cOk7R/E11PNrGNio5ltTeZ4E6MMtsuwfwgwB7jazM4zs7XuLzPbyMz6mdkO6atXWrnbN7NuwO2ENQYS62LcROj0PtLMLsjQVh3Ck/+Nk461G/B7wnRi/0gq+zyQB5xiZoPMLHW9BDOzXmbWq2Jvew13Lwb+Slhf4QUzW+fpfjPb0sxOq4J2/hZ/fcTM1hqhYmabmNl+SZuq7dows/3N7MA0x9wa2J7wecyMcX9CSGb0MrMHzKxZmuPtZGaHlDeOckgszH2sma1eI8PMmhOSZ1X5SHFp9+w6YlLqPaAN8M/k7zUAM+toZjtWXYjVbMlimPHtmh+Ps/0lb1tSiTXNG28Mt/w9rJdhdfhx1iIKi5bTqUMLPnnpPPr03Lpq3odILdf/4O3Za5etmDrtV557M48vv/qFQ/brxHtPn8mNlx+Q7fBERERq3Nz8FXwyqWj1T+Kfucnb5uav/SzTPZdvxmPXbc72HRswfGwBY74s5MA9mvDBkPb076OeRBGpOguSJhV/cTw8/lH6nyVVMdF8LaIRGbIWd59vZicArxA6ai81s0+BRoRO0U7ALoROWYA/Aj0Jozimm9n7QBOgL2HB4Pvc/dUaCv8fwFAzO58w/38PoDuwCBiQXNDdp5nZE8DpwAQz+4CwNkRP4I345w4pdWaY2URgdzMbC0wGVgKvuPsrcXHzo4FXCR3X18ZFlxcQpqralTDV1jHApKp+8+Vt38zqA08SPqfz3f27eJwVZnYq8Dlwl5m95+6pi2K/BuwETIvnbhPCZ14PuNndxyXFtcLM+gP/I6yJ8Pt4HucQprPamdBp/H+Uvq5FWdxGmB7tNGCKmX0OfAfUJ3RodwMmAv+qZDu3Eu6F/sDXZvYh4T1tRTjXw4H3ofyfTTnj2Ilwr841s/GEtT9aA/sRFr++392Tp/o6lbBeyUXAyWY2gdDhvwnhntkKuDeWqXLuPs7MhhO+M742s5FxVx9CEvVl4Ogqau4Vwnl418zeI6xP8qu7X1NKvdMIi6WfBPQzs1FAMWG6qZ2BKyh96r3csNd+4ac6bbwxXBFmCfNDUwdpiUhV6N9ve/r32z7bYYiIiOSMAUc0Z8ARzWusnohIeQw+JvxI1dKIDFmHu48kdI4+RFhwtz/QizBlz3UkLRLs7osJHYXXEzohjyLMgT8OONndL6vB0J+N7a8kdIS2I3SK7uXun6cpfy6h03sRYWqljsBfCJ2XmRxHmHJrG0IS5GySpsJx94+BHQmjAhYRzk1/QlLkfUJC5Z2KvLmyKGf7NxM6Zf/r7k+kHOcb4HJCQudJM0t9Sn4eIenzDmEqrj6EURdnuvuglLKJ4+1CGKUzM9Y9ljC11+fAxcC/K/i2U9ta5e6nE66B4cDWhM9tH8Li4XcAqSN3KtLOinjcAcDHwO6E99SOkOi5J6V8dV0brxE+y68J9+0JhATeqBjfWvegu88B9gYuJXxmuwDHE5IY04GrgDsrEEd5HE2YvmkucCiwG2HR756EKbuqyn2Ec7OEcC7OZs30Zxm5+0/AbwjfdzMJSZdDCffDg4RzLiIiIiIiIiIiNcQ8Mf5OZD1lZsOAM4D9YxJGqomZ9SFMu/N4NS+mLVLrmNlk2m7ZjeuqO49UfTQiQ0RENihznsp2BCIiIpKQNzXbEdRq3f8EeT+T5+7dsxWDRmSIiIiIiIiIiIiIiEjOUiJDRERERERERERERERylhb7FslRZnYNYdHqsrjS3X+tznikZpjZPsA5ZSz+kru/VI3hiIiIiIiIiIiIZJ3WyBDJUWY2krAgdFls7e4zqi8aqSlmNgB4rIzFb3D3wdUXjdQkM5vcrVu3bpMnT852KCIiIiIiIiIiq3Xv3p28vLysrpGhERkiOcrd+2Q7Bql57j4MGJblMERERERERERERHKG1sgQEREREREREREREZGcpUSGiIiIiIiIiIiIiIjkLCUyREREREREREREREQkZymRISIiIiIiIiIiIiIiOUuJDBERERERERERERERyVlKZIiIiIiIiIiIiIiISM5SIkNERERERERERERERHKWEhkiIiIiIiIiIiIiIpKzlMgQEREREREREREREZGcpUSGiIiIiIiIiIiIiIjkLCUyREREREREREREREQkZymRISIiIiIiIiIiIiIiOUuJDBERERERERERERERyVlKZIiIiIiIiIiIiIiISM5SIkNERERERERERERERHKWEhkiIiIiIiIiIiIiIpKzlMgQEREREREREREREZGcpUSGiIiIiIiIiIiIiIjkLCUyREREREREREREREQkZymRISIiIiIiIiIiIiIiOUuJDBERERERERERERERyVlKZIiIiIiIiIiIiIiISM5SIkNERERERERERERERHLWRtkOQERERIJvC5ex3Zhvsh1GhX21xTPZDkFERKTqzHkq2xGIiIhIQt7UbEdQu+VnOwCNyBARERERERERERERkRymERkiIiJZYmaNgD8CJwKdlv3wHbNv+SMtz7uMeq03r/Txi6ZOYunYjyiaMpGivImsmPsLAF1Gf13pYyesKi5i/hNDWPzO6zT8ZSYtmjfikP06cdMVB7Dl5s2qrB2R2m7Kt3O5+f73GTF6OvMXFtK2dVOOOKALgwfuT6sWTbIdnoiISI0aP6WI4WMLGDu5kLF5Rfw0ZwUAPrZrifWGvZbPg8/lk/ddMfXrGT13aMS1Z7Vk7x6NayJsEakllhbD25Pg1Qkw6hv4/leoWwc6bQbH7Q6X94ONG2Y7yvWPuXu2YxAREal1zKwh8B7QE5gFNLEGDZp5cTF1m7dgq4efpf6W7SvVxk9/uJCCD99dZ3tVJTJWFRcz8/enUTR5AnVbteG4PdswY+YCxn7xE61bNuHjF89lm/YtqqQtkdpsxOjpHHn2kywtXE7XbVvRrXMbJn39C19Pn0e7ts0Y88K5tGu7SbbDFNnwaGopkZzV/8qZvPzBknW2l5TIGHj3L9z7zAIaNTAO3rMJRcucdz8twIHn/rIl/fs0rcaIRaTS1qOppYa+D+c+Fv68/Raww5awqBBGfwuLi6BrW3j/j9BmPXr2r/ufIO9n8ty9e7Zi0NRSIrLeMLMBZuZmNjjbsUjlmNkMM8tKJt3MhsXrqE/KdjezGTUYyrWEJMYYoAsws94WW9H6kmtYmT+fX279U6UbaLTDLrQ482K2+OtDbPPqR1j9+pU+ZrL5wx6kaPIEGu6wC1s/8z/+88Bv+eTl87nr2n7MnVfAWVe9VKXtidRGSwuXcfKlz7G0cDnXXdqHKe9eyvMPncjUdy/lyvN6MXPWIs6++qVshykiIlKj9tqxEYPObskrd23JrDc60aC+lVj+nbEF3PvMAlpuUpcvntyal+5sx1v3bcUHQzpQt45x5k2zyF+8soaiF5ENXb26cF4fyLs1/Dx7Mbx1JXx1G+zSAabOgoF6XqLclMgQKYGZ9Ymdm8OyHYuIbDjMrD7w+/jrxe6++nGyTU86i/qdtqPw87EUTZ1UqXZanHYerc69jI336ctGLVtX6lipfPky8p//NwBtrrieOo3XTG1z+Tm96NF1M97/ZAbjv/y5StsVqW1eeGsKv/y6hO22acX1A/us3m5m3HrVgXRs15y3P5zGF3mzsxekiIhIDfvDGS258fzWHNm7KZu3Kn3W9Lufmg/AtWe1pHP7NQ/37NWjERcc25z8xat45JX86gpXRGqZM/aBIQPCaIxkbZvDA6eFP78wDpatqOnI1m9KZIjI+uRFYHvg79kORKSSegGbANPc/fPUnU33PwSAJaNG1HBYZVc48TNWLVlMvS3b03C7buvsP/6wMNr01XfWn+G/IrkokQzcd88O1Kmz9j/d69WrS6/dwxR0Lw+fUuOxiYiIrA8Ki1YxYtxSAI7vu+70UYltr3647lRVIiJVbaetwmvxCpinr51y0WLfIrLecPeFwMJsxyFSBXaKr5+l29mgS0gMLJv2VU3FU27F34YERYPt0k+PuesObQGYOPWXGotJZENUULgMgE2bNUq7v2XzsDjpF1N0r4mIiKTz1Q/LKF7mtN60Lu02q7fO/l27hhV3J35bXNOhiUgtNH1ueK1XF1o0KbmsrE0jMmQ1M9vKzO4zs6/NrNDM5pvZODO73syapZRtbGaDzGxSLLvQzD4wsxMzHHv1fPhmdnFSve/M7Gozs7hvVzN7Nba9xMxeNrMOaY63eo57MzvUzEbF8gvM7AUzW2eFLzMbHOsMKC3GRBuEhXgBzoh1Ez+D05y7v5vZNDMrivG/ZmZ7p2ln9XRVZra5mQ01s5lmtsLMBqaLrTRlbd/Mdjaz4ri/XZrjPBxjG5Ih3rbx9Zf4+X1mZqeXEFcLM/uLmeUlXScjzOyINGU7xnZGmlkzM7s7Xh/LzeyeWCbjGhkWnBSPvyCehynxc2+cpvzIeKyOZtbfzD42s4J4bp5Od35S2hluZvNiOzPM7FkzOyBN+TJfG+UVY3/KzObG2MeZ2YnJ5zKl/Op7wMz2iHHMi9t2jmV2NrO/mtn4eNxiM5tuZg+a2RYZYkj+3O41sx+Tzv//mVmJf9eY2TlmNjFeI7PNbIiZNa+C83OWmU1IOu4wM9u8DPXqm9kNSZ/ZdDO70cLi3FUlsYr3zHQ767UJYS6fnbvTMiVi26j1Zmn3t9s8LDz8/U/5NRWSyAapdfzfTaZ76buZC0rcLyIiUtv9MHs5AO3apH+Wt0mjOjRvWocFi1axuEDrZIhI9br37fB6yI7QYN3cqpRAiQwBwMx6AxOBS4B6wKvAR4SpTwYD2ySVbQp8ANwItAFei2X3AJ42s3tLaOdvwB3A98A7QEvgdmCwmfUCPgS2AIYDs4CjgHfNLP1jiHAC8DpQP8b8M3AM8LGZ7ZShTlmNAv4X/zwNeDzpZ0LSe9oL+AK4GFge45kE9AM+MLPfZTh+a+BT4HDCYr9vAkvLG2R52nf3CcCfgU2Bx83Mko7THzgH+Bq4PE1TLYCPgUOAkYTPasd4nMFp4upCOE/XAI0I53IcsCfwqpldmeEtNQLeBwbE+q8AC0o5B3WAJ4GngN/Eem8ATYDrgfdKuIYuAp4DCmOdJcCJwIjUOmZWF/hPbGdfwnl/kdAZfTjh/kkuX9Fro1Rm1gkYC5wE5BPOU0GMbWAp1fclXN8dgbcJ9/OquO8a4P/in0cRzokBFwLj0iUzogbACOD0GNdwoANwN/BoCe/jr8ADhPv9zdjWecAryddneZnZbcAjQDfC+/sAOBT4hHAtZ6wKPA9cBeQRPrMWwCDgtXgNVIWN42vae94ahdzbqqUFVdRc1fPCEHqdhulvrSaNw7/IFhcsq7GYRDZE++4Rnud4/b2v+XX+2t8JP81exPAPpwGwuEBPkYqIiKSzZGn4r07jhpm7wJo0CvsWL12VsYyISGW98QU88mEYjXHTsdmOZv2jqaUEM2tB6LhrTui8u9vdVyXt34uQIEi4FdiNMFrhaHdfHMt1JXRAX2pmw939tTTN/RbY0d2nJdWZAFxJ6AC9wt0fivvqEzo2+xI6lh9Lc7yLgPPc/eFYx4C/AH8AhgG7lO9srOHuQ83sW0Kn8yh3H5BaxsJIleeBZsCp7v5k0r7dCZ3EQ81shLvPTal+GKET/GR3L6pIjBVs/y5Ch25f4ArgTjNrCzxM6Gw/xd3T9Z4eSeicPiax38x+Q+i8HmRmr7j7Z3F7XUJyYCvgauCuxDUVO+DfBm4zs7fcPXU14z0IiZ1t3D2/jKfiCkKH/kjgJHefHduqDzwInE1IaFyTpu7FQG93HxPrNI7vc+94zORO+D8Skmd5wBHu/l1ih5ltAuyc9Htlro2yeIiQDHsI+L27r4zH7kdI6pXkTOAP7v7XNPuGAJe5++o5SmKi6FrgBuBm4Kw09XoSkqGd3f3XWG9bQgLhDDN7yd1fSlPvNKCHu38V67QifP69gf0J11e5mFlPwnW3ENg/sQaFmW0MvEy4ljNpT0jy7+Du02O91jGOAwjJqnvKG5OISEUdvG8ndt2hLZ9NmsWhA/7FAzceQbfOrfly6i+c/+dXWbEy/JOtTsVzvyIiIiIiUs2m/gyn/hPc4Y7fwU7tS68ja9OIDIHwFH5r4C13vzM5iQHg7mPcfQ6AmTUhdAqvAi5KJDFiuamETk6AyzK0dV0iiZFU5w2gMTAzkcSI+5YBidEd+2U43uhEEiPWccKT0zOBnc1snxLfeeWdBbQF7knuqI6xjANuIjx5fWqausXAJRVNYlS0/XiOziCMcrjFzHYhJH1aATfEeumsivGuTnK4+6eEp+nrEJJKCUcSRms87+53JF9T7v4tIfFQFzg3Q1uXljWJYWYbETqtC4ATE0mM2NYyQsfzbOC8DFMc/S2RxIh1lhJGEUAYuZBop36MG+Cs5CRGrLfQ3d9P2lSZa6NEMRl0AGEkxlWJJEY89v+AZ0s5xJeEkVHrcPf3kpMYcdsqd78R+IkwSiqTKxNJjFhvGuF9Avw+Q51BiSRGrPMrITkDSee/nC4kjKy4N3khbXdfQrgePFPF6MZEEiPWm0tI8kLm91FmZjYZSDx7cYGZTY7btl3dZmK0Q+PcnTBz9aiRosK0+wuWhiH8TZvUr7GYRDZEZsYLD51E9y5tGDfxZ/bs/0+adr+FvY8bypxfCxg8cH8ANt0k08BDERGR2m3jxuG/gUuLMo+2KCgM+5o2VjeZiFS9nxbAIXfBggK4vB9cdnC2I1o/aUSGABwYX4eUWCrYjTD1z7iYhEj1L+A+oJeZ1UlNihCeQk81vQz72maI55nUDe6+3MyeI0yv05swPU51SXz1vJBh/4fxdY80+z5z95+y0b67zzSz8wkd3iMJowZGAbeV0NaE5A7nJE8TRsD0rmxc0awSkinp7EpIwgxP7YAHcPdCMxtPmPqpM5D6HtJdd1/H1+TrbnfCqKUv3P2TMsRVmXNQml7x9a3YOZ/qP8ApJdR/LSa00jKzloSExQ6E95yYTqke0NLMWrj7/JRq8919eJrDPQ38A9i7HN8J6c5/eSSuxXTfD3lm9gVJo2fSSFfvLTNbAGxrZm3dfVYFY0tYHl/Tzoi5fE7Ix9XbPNNMXtmXiG3F3PQLDM+cvRCADls2r6mQRDZYHdo1Z8IbF/Li/6YwevyPFBYtp3uXNpzSvwcvvDUFgO5d2mQ5ShERkdzUfvPwT+6Zc1ak3V9QuIr8xavYtFkdmjapqplkRUSC+Uvg4Dvg+3lwZm+4M+3qwlIWSmQIhOl/IKwDUZpEr9qMdDvdPd/MFhLW1tgUmJdSJF3H/ZIy7GuQIZ7vM2xPxFfdvYAd4+tHpUzn3yrNth+y2b67/9fMXiSsKbIUOC35yf40ynOuE3E9aWZrjUYoLS7Kf14SbR1kSYu1l9BeaiIj3WLLiZFGydddee6T5Lgqcm2UJtHB/2OG/aWdw4z7zewk4J+sWcMhnaZAaiIj7fXh7gvNLJ+QEEn3nVDW818eiWuxpGt25wz7FiSPNEvxPeE9bEFY06NC3L27mSWmzZrr7t1h9UiNbgDFX+cBUH/b7SraTLVr0KkrAMVfTU67/7NJ4RT16Jp+MXARKZ+NNqrLCYfvwAmH77DW9tHjw1d6n54dsxCViIhI7tuufX0a1DfmLljJT3OWs2WbtZ8l+mxqmCShR6eK/vdDRCS9JUVw6N2Q9zMcuxs8fCZoRtiKUyJDqkPGzuQ0T2Mny/aqWhUZQ5qo8xxhaqNM0o1eqcyUUpVuP66LkXhyvTGhA3VGFcSUHNdbQPrHtYNf02wr73lJtPUtYdH5kqR2okP1XXeVuTaqW9pzbGYdCNOMQRjR9Drwk7sXxv2jgb0I0zZViVK+EzZkHxHW8NjWzHZ29wnJOxe/9xYAG+/Tt+YjK6NGPXalzsZNWf7TDxR9nUfDLt3W2v/cGyHBceSBXbMRnkitMHvOYp57M4+Wmzbm2EO6lV5BRESkFmrUsA59d2/Mm6ML+O+7ixl4Uou19j83IjzHdGTvkp7lEhEpn+LlcPS9MHY69NsBnr4Q6mr2ukpRIkMgPNXdlTA/+5ellE0s+t0h3c644HFzoJCwBkN1SxtH0vbkRcqXxdd1/nUSF6fevALtzwS2A25z9/EVqF9ZFWo/Lor+GGE0wNOERdgfNbMdS1h4ujznOvGU/VB3f76scVVQoq2p6RZkr0KJ0Q/bllhqjeq8NhKjAbbKsD/T9tIcBtQH7nT3e9Ps36aEummXqYqLnjcnfCfkVzCu8ppFGBHTAZiSZn+maxlgUzNrmmFURuI9/pxmX7m4+zIz+zvwZ+ABM1s9Q+aCpx9l2bdf0WiXPWjYdYfMB8kyq1ef5sedyvzH/8Gcu26k3T2Prt5399CPmDj1F/bbsyO77Zi702OJrC8mffULnTq0oGHDNU+Qzpy1kOMueIbFS4oZducxNGqYdqY6ERERAS4/uQVvji7g5kfncXivjencPqzjNmZiIUNezKd50zqcfVTz7AYpIhuMlavgpIdgxBTo3QVeuATqqxe+0nQKBeAd4CDgPOClUsqOJ3RI7mZmnd39m5T9iYWLP6qhJ61/C9yfvCEu/nxc/DV5fYxE52+XNMfZn/Rz1SeSH5nuleGERZePIZybmlbR9i8B+hGeCj8N+Aa4DniEzIs575zhM0/M7pd8rocTFoU/BqjuRManhCfb98uwdkNVGU/oiN/JzPZw97GllK/Oa2N0fO1nZk2SF2CPflvB424aX9eZ7snM9gVKmiOopZkd4O7vpmxPXB9jSpm6rCp9SEhk/Ba4IXmHmXWl5PUxiPUeSal3MNACmF4F62Mk3ExYo2hvwj3YZPnPPzL3/tuo27wFm/3p1ko3sOSj95g/7MHVv/vysDTHD+eesHpbiwEXsXGv/St0/BYDLmLpuNEUffkZ3/3uYH63Zxu+/ymfTybMpHXLJjx6R/9KxS8iwZ3//IgX357Crt3b0rZNU+bMK2DUpz9QvGwFgy7djzOO3yXbIYqIiNSo10ct4aZH1wzwX7Y8TAzR86wZq7cNOqsVh+8TnmM8cI8mXHbiptz7zAJ2PvU7DtqjCctWOMM/KcCBxwZtQfOmWh9DRKrG39+BF2NPUKumcNET6cvdeWLYL2WjAS0CMJQwxc+hZjbQUib0N7OeZtYGIHaYPkq4dh4wsyZJ5boA18Zf76uRyGEfMzsrZdsNhCenJ7r7h0nbP4ivp5pZx8RGM9uazPEmnrzONFH9EGAOcLWZnWdma91TZraRmfUzs+p6rLrc7ZtZN+B2wjoEiXUxbgLGAkea2QUZ2qoD3G9mjZOOtRvwe8J0Yv9IKvs8kAecYmaDzGytyUYt6GVmvagkdy8G/kpYt+EFM1tn1ICZbWlmp1VBO3+Lvz4Sp2FKbmMTM9svaVO1XRsxmfQuIfFwe/Kxzewg1iQPyiuxyPapKff2lsBDZah/Z1woPFFva0KCDOCBCsZUEYlYB5rZTknxNCEkPkubGuv6lO+IVsAd8dcqex/uXkRIot5EWKemqa9YQbPDjqX9sJeov2XaQS7lsjJ/AUWTv1j9Q1zjPXnbyvyKD56r06AB7f7+L1qceTF1GjTkpeFT+P6nfAYcvwufvXYB27RvUfpBRKRU/Q/enr122Yqp037luTfz+PKrXzhkv0689/SZ3Hj5AdkOT0REpMbNzV/BJ5OKVv/Ef+autW1u/tqLe99z+WY8dt3mbN+xAcPHFjDmy0IO3KMJHwxpT/8+6kkUkaqzIOlx0xfHw+Mfpf9ZUhWTztci5l7a2rhSG5hZH+AVQmfwd4Sn3BsB2wOdgF0Sc7ibWVPgPWA3Qkft+0AToC/QELjP3S9LOf4MoIO7r9OBaGaDgeuBM919WMq+jjGe9929T9L2YcAZhM7zC2K804AeQHdgEdDH3T9POd7jwOmEJ/g/IKwN0RN4A9gjXYxm9kU87qfAZGAl8Iq7vxL39wReJUzT9CMwiTCt1ubAroRpdY5x95di+T7x/D1eFVMhlad9M6sPfEJ4Iv0Md38i6Tidgc8Jnby7uvtXKfG+BuxEGLnyAWFB977x95vdfVBKXJ2B/wFbE66TifG1VWy/DfB/7n5PLN+RNJ91yjEHEKbEusHdBydtr0NY2+E0wiiaz+Ox6hOSUN0Iia2dk+qMBPYDtnb3GSntpI0ljvb5L9A/tvNhfE9bEc71cHfvn1S+XNdGecTz+xHQmvA0/zjCItS9gQcJCabh7n5wUp3BZLjX4v76wGeEe2h2PH5DQmf7hFhsb5LOWdK5+phwvrchLGJdjzAipTHwb3dfK5FUyndCHyp5j5jZHcCVwPIYz0LC510MfAEcCezv7iOT6jhhIfSJhGv73Vi/L+Gzeg842N3X/h9RFTGzyfW37tSt45NvVMfha8RXWzyT7RBERESqzpynsh2BiIiIJORlY4lRSej+J8j7mTx3756tGDQiQwCInXk7EZ5kNkJHbS9C5991hCRBouxiQofg9YSRHEcROk/HASenJjGq2bOx/ZXA0UA74GVgr9QkRnQucBsh0dGPMP3MX4CTSmjjOMKUW9sQkiBnEzqhAXD3j4EdCaMCFhHOTX/CPPzvAwMI03dVi3K2fzMhifDf5CRGPM43wOWEjucnzSx1qq15hKTPO4SO7T6EURdnpiYxko63C2GUzsxY91jC1F6fAxcD/67g205ta5W7n064BoYTkifHAfsQFra+A0gduVORdlbE4w4gdNzvTnhP7QiJnntSylfbtRHP756ENU5axOM2IyT4Er3J6RY3L+mYywj38j8I5+0IQjLzfsL0c8tLqF5M6PB/ivBZ9yMkb64kvM8a5e5XEe73KYRrtQ/h2tgLKGn6MQeOJ3yWOxLOwULgFuDw6kpiiIiIiIiIiIhIZhqRIeulpBEZaz1RLVWvqkeQSPUzs2sICbpr3P32am6rI6WMpJGy0YgMERGRHKMRGSIiIrlDIzKySiMyRESkQsysYVzvJHX7/sCfgBWsGZkhIiIiIiIiIiKy3too2wGIiEiFNAcmm9lXhDUyioDOhCniAK509++zFJuIiIiIiIiIiEiVUSJDJIfEKYG6lrH4le7+a3XGIzXDzPYBzilj8Zfi4uALgTsJa1fsTVgfIx94E7jf3d+s+kizw8zuJCyYXipNfyYiIiIiIiIisuHRGhkiOcTMRhIWhC6Lrd19RvVFIzXFzAYAj5Wx+A3uPrj6osk9ZjaDsEB6qdzdqjea6mNmk7t169Zt8uTJ2Q5FRERERERERGS17t27k5eXl9U1MjQiQySHaLHk2sndhwHDshxGznL3jtmOQUREREREREREskeLfYuIiIiIiIiIiIiISM5SIkNERERERERERERERHKWEhkiIiIiIiIiIiIiIpKzlMgQEREREREREREREZGcpUSGiIiIiIiIiIiIiIjkLCUyREREREREREREREQkZymRISIiIiIiIiIiIiIiOUuJDBERERERERERERERyVlKZIiIiIiIiIiIiIiISM5SIkNERERERERERERERHKWEhkiIiIiIiIiIiIiIpKzlMgQEREREREREREREZGcpUSGiIiIiIiIiIiIiIjkLCUyREREREREREREREQkZymRISIiIiIiIiIiIiIiOUuJDBERERERERERERERyVlKZIiIiIiIiIiIiIiISM5SIkNERERERERERERERHKWEhkiIiIiIiIiIiIiIpKzlMgQEREREREREREREZGcpUSGiIiIiIiIiIiIiIjkLCUyREREREREREREREQkZymRISIiIiIiIiIiIiIiOWujbAcgIiIi0fK58P1N2Y5CREREAOY8le0IREREJCFvarYjqN3ysx2ARmSIiIiIiIiIiIiIiEgO04gMERGRLDGztsAYoANA3jdz2WSHm3n6/t9y2P5dshuciKxl/Jc/M/zDbxn7xU+M/eInfpq9CACfcWOJ9Yb993Me/PdY8r6ZS/16dem5SzuuvWQ/9t6tfU2ELSIiskEaP6WI4WMLGDu5kLF5Rfw0ZwUAPrZrifWGvZbPg8/lk/ddMfXrGT13aMS1Z7Vk7x6NayJsEakllhbD25Pg1Qkw6hv4/leoWwc6bQbH7Q6X94ONG2Y7yvWPuXu2YxAREal1zKwNMIs1oyNXJf2ZJ+89npOP7pGN0EQkjf7nPsXLw9cdzl5SImPgDW9w72Mf06hhPQ7uvS1FxSt4d/R03OG5B39H/37bV2fIIlJZmlpKJGf1v3ImL3+wZJ3tJSUyBt79C/c+s4BGDYyD92xC0TLn3U8LcOC5v2xJ/z5NqzFiEam09WhqqaHvw7mPhT9vvwXssCUsKoTR38LiIujaFt7/I7Rplt04y6P7nyDvZ/LcvXu2YtDUUlJrmNkAM3MzG5ztWHKBme1mZm+bWX48L25mHbMdV0Wtj5+vmc0wswpnk81scHzPA6owLKk54wh/D68EtgGmduvcmu6dWwNw+uXPZzE0EUm1165bMejS/Xhl6MnMGnsVDeqXPLD5nVHTuPexj2m5aWO+ePMiXnr4ZN564nQ++M9Z1K1rnHnVi+QvLKyh6EVERDYse+3YiEFnt+SVu7Zk1hudaFDfSiz/ztgC7n1mAS03qcsXT27NS3e24637tuKDIR2oW8c486ZZ5C9eWUPRi8iGrl5dOK8P5N0afp69GN66Er66DXbpAFNnwUA9L1FuSmRUIzPrEzsZh2U7FpFkZtYUeAU4EPgMeAJ4HFj3kZYcYWbD4v3UJ9uxiFSWmTUHtoq/Xuvu3yX2TRp+CWawcqVz030jsxGeiKTxhwt7c+PlB3DkgV3ZvE3pT2zePXQ0ANf+fl86b91y9fa9dmvPBSf/hvxFRTzy7GfVFq+IiMiG7A9ntOTG81tzZO+mbN6q9FnT735qPgDXntWSzu3rr96+V49GXHBsc/IXr+KRV/KrK1wRqWXO2AeGDAijMZK1bQ4PnBb+/MI4WLaipiNbvymRIbXJi8D2wN+zHUgO+A2wBfBvd+/r7me4+wB3/zXbgVWCPl9Zn9yS+IO735a6s2O75gA88p/xNReRiFSZwqLljBgd8pPHH7buyOvjD+sGwKvvfFWjcYmIiNRGhUWrGDFuKQDH9133YYTEtlc/zNnn+kRkA7JTfKSxeAXM09dOuWixb6k13H0hsDDbceSIdvF1elajqEL6fGU90zu+pp1XpucuW/Hdj/nM/rWgBkMSkary1bRfKV62gtYtm9Cu7Sbr7N91h/Bo1sSpv9R0aCIiIrXOVz8so3iZ03rTurTbrN46+3ftGlbcnfhtcU2HJiK10PS54bVeXWjRJLuxrG+qbESGmW1lZveZ2ddmVmhm881snJldb2bNUso2NrNBZjYpll1oZh+Y2YkZjr16Hnkzuzip3ndmdrWZWdy3q5m9GtteYmYvm1mHNMdbPUWNmR1qZqNi+QVm9oKZrbM6VGlz0afOdR+nk3ov/npG0hoE68zhH8/d381smpkVxfhfM7O907SzeroqM9vczIaa2UwzW2FmA9PFVpqytm9mO5tZcdzfLs1xHo6xDckQb9v4+kv8/D4zs9NLiKuFmf3FzPKSrpMRZnZEmrIdYzsjzayZmd0dr4/lZnZPLJNxDQULTorHXxDPw5T4uTdOU35kPFZHM+tvZh+bWUE8N0+nOz8p7Qw3s3mxnRlm9qyZHZCmfJmvjbJInCfCNFIA1yddl8NimXJd63Fb8ufcwsz+YWaz4vUyyczOKiGmUr87YntnxCrvpdxPHWOZkj7fynznnGNmE2O92WY2xMK0QKl1OsVzNyaWW2bh3nzCzLpkev/VoSKxxHM3w8zqmtkf4udRbGY/mtntZtYgQ70eFr53881scTyvB1mGqfWS7500x1p9H6dsb25ml5jZ/8zs+xjXPDN7y8wOKuE8dDSzp8xsbrw/x5nZiZnaSap3iJm9HusVm9l0C98pLdOVr6DN4uvidDt37tYWgGUaZyqyXvrh55BXb7d5+tX7mjSuT/NmDVmwsJDFS9RpIiIiUp1+mL0cgHZt0j/L26RRHZo3rcOCRatYXKB1MkSket37dng9ZEdosG5uVUpQJYkMM+sNTAQuAeoBrwIfAZsAgwmLmCbKNgU+AG4E2gCvxbJ7AE+b2b0ltPM34A7ge+AdoCVwOzDYzHoBHxKmyxkOzAKOAt41s0YZDnkC8DpQP8b8M3AM8LGZ7VTO05BqFPC/+OdphI7jxM+EpPe0F/AFcDGwPMYzCegHfGBmv8tw/NbAp8DhwBjgTWBpeYMsT/vuPgH4M7Ap8LiZWdJx+gPnAF8Dl6dpqgXwMXAIMJLwWe0YjzM4TVxdCOfpGqAR4VyOA/YEXjWzKzO8pUbA+8CAWP8VYEEp56AO8CTwFGHKpQnAG0AT4HpCx3mma+gi4DnCU9VvENaYOBEYkVrHzOoC/4nt7Es47y8CMwmf4yUp5St6bZRkCeEa/Cj+/gVrrstRFThequaE6/Eowmf8EdAVeMTMzkktXI7vjscJ9xGEayH5fipxIF4lv3P+CjxA+D55EzDgPOCV5Os/Oge4jnDdfEq49hYBpwGfmlmPkuKsYpWJ5SngWuAr4G2gKXA18EhqwXiNjgGOIHwvvwY0BN4Cjq2i9wLQE7gP6BLjejG+Hgz8z9IkysysEzAWOAnIJ5yDgvj+BmZqyMxuI3zWB8Y2XgFWAP8HfGJmm2WqW06JiXnT9mBu3io8luEVXgpeRLJpydJlADRulPl/Jk0ah6+BxQVKZIiIiFSnJUtXAdC4YeYusCaNwr7FsayISHV44wt45MMwGuOmquw1qSUqPbWUmbUAnid0YF4F3O3uq5L270VIECTcCuxGGK1wtLsvjuW6EjqgLzWz4e7+Wprmfgvs6O7TkupMAK4ETgeucPeH4r76hM6ovoSO5cfSHO8i4Dx3fzjWMeAvwB+AYcAu5Tsba7j7UDP7ltDpPMrdB6SWsfC0+fNAM+BUd38yad/uhE7EoWY2wt3nplQ/jNCZd7K7F1Ukxgq2fxdwKOG8XgHcaWZtgYcJne2nuHu6uVCOJCSYjknsN7PfACOAQWb2irt/FrfXJSQHtiJ0oN6VuKZi5+TbwG1m9pa7T0ppZw9Cx+o27p5fxlNxBaGzcyRwkrvPjm3VBx4EziYkNK5JU/dioLe7j4l1Gsf3uXc85qNJZf9ISJ7lAUckL+5rZpsAOyf9XplrI6O4BsYAC6MtegEvufvgstYvg6OBZ4AB7l4c4+1PuFYHAUMTBcvz3eHuA+KT/dsCt7n7yHLEVJnvnNOAHu7+VazTinB99Qb2J1y/CS8BQ5I/11jnTMJ1cA/hvqkJFY2lAyEh2jnpPtiasCD8KWZ2fdL3bx3C92Rj4M/ufmtSO2eT9FlXga+Avdz945T3swvhM/ibmT3r7slJrYcICd+HgN+7+8pYpx8hYbYOMzuB8P0/ifBd9W3cboTE2nXAvYS/U0REREREREREymTqz3DqP8MDi3f8DnZqn+2I1j9VMSLjHEJn0VvufmdyRySAu49x9zkAZtaE0Cm8Crgo0aEYy00Fbo6/XpahresSnWhJdd4gdKTNTCQx4r5lhA4ngP0yHG90IokR6zihs3UmsLOZ7VPiO6+8s4C2wD3JHdUxlnHATcDGwKlp6hYDl1Q0iVHR9uM5OoMwyuGW2JE4DGgF3BDrpbMqxrs6yeHunxKedq9DSColHEkYrfG8u9+RfE3FjsUrgLrAuRnaurSsSQwz24iQLCkATkx03sa2lhFGCswGzosdt6n+lkhixDpLgbvjr/smtVM/xg1wVmoHs7svdPf3kzZV5trIpkWETuPVj5e6+0uEjuH2KdMJlfm7o6Kq4DtnUCKJEev8SugYh6TPN+77OPVzjdsfI4wA6RMTVtWukrFcmnIffAf8O/7aO6lcX8IIiW+AtRardvdHWDPqp9Lc/bvUJEbc/jnhO6QZIbEErE54HkAYiXFVIokR6/wPeDZDU3+OryclkhixjhMSGROA42NCq8LMbDLh/gVoa2aT47ZtE2USa2OsM+5HRNYLG8fRFksLl2csUxBHbTRtknbmPhEREakiGzcO/5VfWpR5tEVBYdjXtHGVzcAuIrLaTwvgkLtgQQFc3g8uOzjbEa2fquIb+sD4OqTEUsFuhKl/PoudiKn+FV97Zeg0fjvNtull2Nc2QzzPpG5w9+WE0QCwdqdddUhcti9k2P9hfN0jzb7P3P2nbLTv7jOB8wlTo4yMxxlFSmdmignJHcJJno6vyee6MudlVgnJlHR2JSRhRrv7OituunshMJ4wnVbnNPXTXXdfx9fk6253wsiDL9z9kzLEVZlzkE3j3X1emu3pzkl5vjsqqjq+c9K9FwDMbGMLa6DcbmHNmGFxJElbwrRU26bWqS4VjGU5a9b2SZbuPfeKr8+nJqGi/1Qw9LQsrN1xsIW1P4YkvZ9EAiP5/kzE9lbKKI2MsZlZG2An4Js0I70SyYyPCEnU3SrxVhISi1+k/Xt4Qt4sAOrXr/TASRHJgvZbhFzxzNmL0u4vWLqM/EVFbLpJI5purESGiIhIdWq/eZjqceac9OvPFRSuIn/xKjZtVoemTerWZGgiUgvMXwIH3wHfz4Mze8OdmuOhwqqih2Sr+DqtxFLBFvF1Rrqd7p5vZgsJ8+NvCqR2iKbruF9Shn2Z/of4fYbtifi2yLC/qnSMrx+tO93+WtI9/ftDNtt39/+a2YuENUWWAqclP/WcRnnOdSKuJ81srdEIpcVF+c9Loq2DLGUB6wztpSZjZqYpl3jqP/m6K899khxXRa6NbEp3PqBqzklFVPY7p6yfL2bWl5AcbV1CPE1LibdKVCKW2Rnu43TvOZHU+DHD8aviOwoAM2tHWH+jpLWLkt9PRWLrGF87l/G7oMLcvbuZPUAYiVbH3bvD6pEa3QA+/jyEnlgrQ0TWL9tt24oG9Tdi7rwCfpq9iC1TFv3+bFKYdbVH16padkdEREQy2a59fRrUN+YuWMlPc5azZZu117D6bGqY6KJHJz1cICJVa0kRHHo35P0Mx+4GD5+pmRcqIxcf9czYgZThqd+EbK/IVJHRLYk6zxGmNsok3ZPklZlSqtLtx3UxEqMoGhM632ZUQUzJcb0FrDNKIsmvabaV97wk2vqW0qfCSTfSoLquu8pcG9WtpGs92/dhRVT0O2c1M9uYMF1RC8Ki4s8QkneF7u5m9hRhzZRq/+uqkrFk+/PLdG0NJSQxngf+SkgoLnb3VWZ2HmFUT2XPbaLt2YQF5UuSKTFbHn8mTqlnZle7+1+Td86YmQ/A2b+risEfIlLTGjWsR9+9t+bNkd/w39cnMfDsvdfa/9wbeQAceeB22QhPRESkVmnUsA59d2/Mm6ML+O+7ixl4Uou19j83Ijy3dWTvjdNVFxGpkOLlcPS9MHY69NsBnr4Q6mr2ukqpikTGj0BXwjQlX5ZSNrHod4d0O+Oc7c2BQsIaDNUtbRxJ25MXKV8WX9f5my0uTr15BdqfCWxHWLx4fAXqV1aF2o8L3z5GeCr5acIi7I+a2Y4lLDxdnnOdeAp+qLs/X9a4KijR1lRPsyB7FUo8GV7WqYWyeW1Ux7WeTnm+Oyqqpr5zegMtgefc/fo0+7epxLFzNZZZ8XWrDPszbc94faWrE9c5OYiQ1PxdmhEj6d5PRWJLfBf8Ws3fBcDq0UA/xlhuNbPV013tcND9uEPdusagS/tUdygiUk0uP2dv3hz5DTf//QMO77sdnbduCcCY8T8w5KlxNG/WkLN/u2uWoxQREakdLj+5BW+OLuDmR+dxeK+N6dw+rGc1ZmIhQ17Mp3nTOpx9VPPsBikiG4yVq+Ckh2DEFOjdBV64BDRzdOVVxSl8h9DJdB7wUillxxM6DHczs87u/k3K/sTCxR+V9UnoSvotcH/yhrj483Hx11FJuxIdY13SHGd/oF6a7YkOu0zneThhQdpjCOemplW0/UuAfoQRDKcRFvu9DngEOCpDnZ0zfOaJmeGSz/VwwgLNxxCewK5OnwILgf3MrIW7z6+mdsYTFh7eycz2cPexpZTP5rVRkWu9Isrz3QGl30/p1NR3zqbxdZ2pqOLC0zXZU1VTsSRGMB1jZn+Ka0gk+22GesnXV+paFAelKb8JYbTErNQkhpnVI9wjqUbH135m1sTdU0c1rRObu880s6lANzPr4u5fp5apBrsTzkddwoi2VXnfrMkFP3H3celriUhWvD7iK2667/3Vvy9bHr6Sevb/5+ptgy7dj8P7hlEWB+6zLZed2ZN7H/uYnQ97kIP22ZZly1cyfNQ03OGxO46h+SaNavZNiIiIbCBeH7WEmx5dM0nDsuXhvyM9z5qxetugs1px+D7h+akD92jCZSduyr3PLGDnU7/joD2asGyFM/yTAhx4bNAWNG+q9TFEpGr8/R14MfbmtWoKFz2RvtydJ4b9UjZVMaBlKGGKn0PNbKClTOhvZj3jIqrEzqRHY7sPxCdtE+W6ANfGX++rgrjKYh8zOytl2w1Ae2Ciu3+YtP2D+HqqmXVMbDSzrckcb+Jp8EzzBgwB5gBXm9l5qYsNm9lGZtbPzHYo/a1USLnbN7NuwO2EOfMT62LcBIwFjjSzCzK0VQe438waJx1rN+D3hKl9/pFU9nkgDzjFzAaZWepaBGZmvcysF5Xk7sWEqWqaAi+Y2TpPd5vZlmZ2WhW087f46yNmttYIATPbxMz2S9qUzWujItd6RZT5uyMq7X5aRw1+5yQ6vY81s9XrUphZc0KCr6qSP7kUywhCEnM74OrkHWY2gDVTz6VK9AJekfJ90BcYmKb8HEKycYfkez6ODrqdNAm3mLB6l5DUuT35/jGzg1iTQE11E+Faed7Mdk7daWYtzezcDHXLzd3nAO1YM1VVHYCmTerz6iMnc/LRPaqqKRGpAnPnLeWTCTNX/yTyt8nb5s5bulade64/jMfuOIbtO7Vm+KhpjPnsRw7stQ0fPHsW/fttn423ISIiskGYm7+CTyYVrf5JPFaVvG1u/tqLe99z+WY8dt3mbN+xAcPHFjDmy0IO3KMJHwxpT/8+6kkUkaqzIOlxyhfHw+Mfpf9ZUhULB9QilR6R4e7zzewE4BVCR+2lZvYp0AjYHugE7ELojAL4I9CT8OTtdDN7H2gC9AUaAve5+6uVjauM/gEMNbPzCQsO9wC6A4uAAckF3X2amT0BnA5MMLMPCGtD9ATeiH/ukFJnhplNBHY3s7HAZGAl8Iq7vxKnFjkaeJXQcX2tmU0iTHGzOeHJ6eaEJ45Tn1yutPK2b2b1gScJn9P57v5dPM4KMzsV+By4y8zec/fURbETC/VOi+duE8JnXg+42d3HJcW1wsz6E+apvxH4fTyPcwjTWe0MtAH+j9LXtSiL2whTHJ0GTDGzz4HvgPqETtpuwETgX5Vs51bCvdAf+NrMPiS8p60I53o4sZM3m9dGRa71CrZT3u+OVwkjf+6MndGJx2/+4O7p1i9JqPbvHHcfZ2bDYxtfm9nIuKtPjPNl4OjKtJFrscT1Kc4gjKy5zcxOIiQgtwV+AzwAXMyakTQJTxMSH3sT7rdPCZ35vwHuBq5MaWeFmf0VuAV438xGAPOBPYHNktpJdSHh++Fi4GAzG0dY/L038CAhibpWbO7+lJl1B/4EjDezCYS/Gyy+rx7AEuDhMp+oUrj7LOJC42Y2uVvn1t0mD7+kqg4vIlVowAm7MOCEXWqsnoiIiGQ24IjmDDiieY3VExEpj8HHhB+pWlWyxIi7jyR0Uj9E6PDpD/QiPEV7HaEjKFF2MbAfcD2hU+0oQsfSOOBkd7+sKmIqo2dj+ysJHXvtCJ18e7n752nKn0vo9F5EmFqpI/AXwsK5mRxHmDZnG0LH8NkkTe3i7h8DOxJGBSwinJv+hI7i9wkJlXcq8ubKopzt30xIIvzX3Z9IOc43wOWETu4n45QvyeYROpPfIUxP1IfQ6Xmmuw9KE9c3hE7sawlT5PQEjiU8ff05oXPy3xV826ltrXL30wnXwHBga8Lntg9h8fA7gNSROxVpZ0U87gDgY8K0MscSrrvXgHtSymfz2qjItV5u5fzuGE+YCioPOJhwL51NGE1TUhs19Z1zNKGzfS5wKLAbYaHtnoRpxWpSjcTi7mMICYnXCPfNUcBy4DBgTCw2L6VOIWHatKcJn91hhKmVfkdISqRr51bgDEJCsRdwIPBFfD/jMtT5hpDseJqw8Hl/oFk8zjPpYov1/ky4Xp4nJA37E76z6hKS35mmzxMRERERERERkWpi605rvuEzs2GEzqz9Y0eqVBMz6wO8BzxeEwvoikhuMLOHgPOBE939P6WVr0lmdg0hMXeNu9+e7XgSNCJDREQkx8x5KtsRiIiISELe1GxHUKt1/xPk/Uyeu3fPVgxVMiJDRERqHzNrkbyOStL23wHnEEZ/vFbDYSViaBjX9Endvj9h6qgVrBmZISIiIiIiIiIiOazSa2SIiEit1QUYE9ewmR63bU9YW2YlYS2dgkyVq1lzYLKZfUVYlLwI6EyYygzgSnf/PkNdERERERERERHJIUpkbEDidCldy1j8Snf/tfRikuvMbB/C0+9l8ZK7v1SN4UgFmVlX4JoyFh/l7kOrM54ymk5Y16IvYR2JJoR1SF4A7oxraGTLQuBOwqLnexPWx8gH3gTud/c3sxeaiIiIiIiIiIiUR61cI2NDZWYjCYvUlsXW7j6j+qKRmmJmA4DHylj8BncfXH3RSEUlrSdTFlpzZgNkZpO7devWbfLkydkORURERERERERkte7du5OXl5fVNTI0ImMD4u59sh2D1Dx3HwYMy3IYUknuPhKwbMchIiIiIiIiIiKSa7TYt4iIiIiIiIiIiIiI5CwlMkREREREREREREREJGcpkSEiIiIiIiIiIiIiIjlLiQwREREREREREREREclZSmSIiIiIiIiIiIiIiEjOUiJDRERERERERERERERylhIZIiIiIiIiIiIiIiKSs5TIEBERERERERERERGRnKVEhoiIiIiIiIiIiIiI5CwlMkREREREREREREREJGcpkSEiIiIiIiIiIiIiIjlLiQwREREREREREREREclZSmSIiIiIiIiIiIiIiEjOUiJDRERERERERERERERylhIZIiIiIiIiIiIiIiKSs5TIEBERERERERERERGRnKVEhoiIiIiIiIiIiIiI5CwlMkREREREREREREREJGcpkSEiIiIiIiIiIiIiIjlLiQwREREREREREREREclZSmSIiIiIiIiIiIiIiEjOUiJDRERERERERERERERylhIZIiIiIiIiIiIiIiKSs8zdsx2DiIhIrWdmixo0aNB02223zXYoIiIiIiIiIiKrTZs2jeLi4sXu3ixbMSiRISIikgPMbDbQGPgx27GIiIiIiIiIiCTZCljq7ptnKwAlMkREREREREREREREJGdpjQwREREREREREREREclZSmSIiIiIiIiIiIiIiEjOUiJDRERERERERERERERylhIZIiIiIiIiIiIiIiKSs5TIEBERERERERERERGRnKVEhoiIiIiIiIiIiIiI5CwlMkREREREREREREREJGcpkSEiIiIiIiIiIiIiIjlLiQwREREREREREREREclZSmSIiIiIiIiIiIiIiEjOUiJDRERERERERERERERylhIZIiIiIiIiIiIiIiKSs5TIEBERERERERERERGRnPX/GjutlNkgjSoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1380x750 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "graph_bg(computer_experience, \"Programming tools used by participants\", \"computer_experience\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1380x750 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "graph_bg(bio_software, \"Biology software and databases used by participants\", \"bio_software\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PDB                                            3\n",
      "GFF                                           10\n",
      "VCF                                           12\n",
      "Other                                         12\n",
      "BAM                                           14\n",
      "Excel / Google Sheets / other spreadsheets    15\n",
      "FASTA                                         21\n",
      "CSV / TSV                                     21\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# this column isn't key/value frequency pairs like the last two, so needs slightly different processing\n",
    "# Multi-choice answer sets are separated by ; in SelectSurvey\n",
    "bio_file_types = backgrounds.bio_file_types.str.split(\";\",expand=True)\n",
    "\n",
    "common_types = [\"GFF\",\"FASTA\",\"VCF\", \"BAM\",\"CSV / TSV\",\"PDB\",\"Excel / Google Sheets / other spreadsheets\"]\n",
    "\n",
    "# get the count of individual answers\n",
    "bio_file_types = bio_file_types.stack().value_counts()\n",
    "\n",
    "# one entry for all the \"other\" types will be more interesting\n",
    "# and easier to visualise too\n",
    "other_types = bio_file_types.drop(common_types)\n",
    "\n",
    "#sum up the count of \"other\" types. sum ensures that if there are two duplicate \"other\" types\n",
    "## it'll get counted twice (unlike, say, length of series)\n",
    "other_types = pd.Series(index=[\"Other\"], data=other_types.sum())\n",
    "\n",
    "bio_file_types = bio_file_types.filter(common_types)\n",
    "bio_file_types = pd.concat([bio_file_types, other_types])\n",
    "\n",
    "#take a peek, does it look right? \n",
    "\n",
    "bio_file_types.sort_values(inplace=True)\n",
    "\n",
    "print(bio_file_types)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#okie, let's visualise the file type data. Standard Barchart is simplest. \n",
    "filefig, fileax = plt.subplots()\n",
    "\n",
    "\n",
    "#colour items that the majority use differently than\n",
    "# items used by a minority\n",
    "high_color='#FFE082'\n",
    "low_color='#80DEEA'\n",
    "def bar_color(bar_val,max_val):\n",
    "    if(bar_val >= max_val/2):\n",
    "        return high_color\n",
    "    else:\n",
    "        return low_color\n",
    "\n",
    "#create a legend for the colours\n",
    "high_patch = mpatches.Patch(color=high_color, label='Used by >=50% of participants')\n",
    "low_patch = mpatches.Patch(color=low_color, label='Used by <50% of participants')\n",
    "fileax.legend(handles=[high_patch,low_patch])\n",
    "\n",
    "fileax.set_title(\"File types most commonly used by participants\")\n",
    "\n",
    "#Set bar properties individually, such as colour and labels\n",
    "for file_type, count in bio_file_types.items():\n",
    "    color = bar_color(count,bio_file_types.max())\n",
    "    p = fileax.barh(file_type, count, label=file_type,color=color)\n",
    "    fileax.bar_label(p, label_type='edge')\n",
    "\n",
    "plt.savefig('figures/bio_files_types_bar.png',dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 1\n",
      "2 2\n",
      "3 3\n",
      "4 4\n",
      "5 5\n",
      "6 6\n",
      "7 7\n",
      "8 8\n",
      "9 9\n",
      "10 10\n",
      "11 11\n",
      "12 12\n",
      "13 13\n",
      "14 14\n",
      "15 15\n",
      "16 16\n",
      "17 17\n",
      "18 18\n",
      "19 19\n",
      "20 20\n",
      "21 21\n",
      "22 22\n"
     ]
    }
   ],
   "source": [
    "# add participant identifiers to file\n",
    "# not sure if we need file names or participant identifiers, let's just build both and see what nvivo likes\n",
    "\n",
    "# variable to store the final response in as we build it\n",
    "file_name = list()\n",
    "participant_id = list()\n",
    "prefix = \"\"\n",
    "\n",
    "id_col = expanded_backgrounds[\"Respondent ID\"]\n",
    "\n",
    "for i in id_col:\n",
    "    print(i, id_col[i-1])\n",
    "    val = id_col[i-1]\n",
    "    if (val < 10):\n",
    "        prefix = \"0\"\n",
    "    else:\n",
    "        prefix = \"\"\n",
    "    val = str(val)\n",
    "        \n",
    "    file_name.append(\"Files\\\\\\\\\" + prefix + val + \"_transcription\")\n",
    "    participant_id.append(\"Participant \" + val)\n",
    "\n",
    "\n",
    "participant_id = pd.DataFrame(participant_id)\n",
    "\n",
    "participant_labelled_data = participant_id.join(expanded_backgrounds)\n",
    "\n",
    "participant_labelled_data.to_csv(\"data/expanded_bg.csv\",index=False)\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}