developer-insights.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Developer Insights\n",
    "Every year stack overflow organises a survey for developers all around the world. In this notebook I have analyzed the trends for the consecutive years 2018 and 2019. This is a small contribution from my side for the readers to understand the current situation of developers all around the world."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importing Libraries "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import plotly.express as px\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "import plotly.graph_objects as go\n",
    "from plotly.subplots import make_subplots\n",
    "\n",
    "#To ignore unwanted warnings,\n",
    "import warnings\n",
    "warnings.simplefilter(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Import data\n",
    "data_19 = pd.read_csv('data/2019.csv', usecols = ['Country', 'Employment', 'EduOther', 'WorkRemote','CompTotal','MainBranch',\n",
    "                                                    'Age','Gender','JobSat','DevType','LanguageWorkedWith']);\n",
    "\n",
    "data_18 = pd.read_csv('data/2018.csv', usecols = ['Country', 'Employment','Student','EducationTypes','DevType',\n",
    "                                                  'Age','Gender','JobSatisfaction','LanguageWorkedWith']);\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Viewing the data set for 2019,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MainBranch</th>\n",
       "      <th>Employment</th>\n",
       "      <th>Country</th>\n",
       "      <th>EduOther</th>\n",
       "      <th>DevType</th>\n",
       "      <th>JobSat</th>\n",
       "      <th>CompTotal</th>\n",
       "      <th>WorkRemote</th>\n",
       "      <th>LanguageWorkedWith</th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>I am a student who is learning to code</td>\n",
       "      <td>Not employed, and not looking for work</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>Taught yourself a new language, framework, or ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>HTML/CSS;Java;JavaScript;Python</td>\n",
       "      <td>14.0</td>\n",
       "      <td>Man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>I am a student who is learning to code</td>\n",
       "      <td>Not employed, but looking for work</td>\n",
       "      <td>Bosnia and Herzegovina</td>\n",
       "      <td>Taken an online course in programming or softw...</td>\n",
       "      <td>Developer, desktop or enterprise applications;...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C++;HTML/CSS;Python</td>\n",
       "      <td>19.0</td>\n",
       "      <td>Man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>I am not primarily a developer, but I write co...</td>\n",
       "      <td>Employed full-time</td>\n",
       "      <td>Thailand</td>\n",
       "      <td>Taught yourself a new language, framework, or ...</td>\n",
       "      <td>Designer;Developer, back-end;Developer, front-...</td>\n",
       "      <td>Slightly satisfied</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>Less than once per month / Never</td>\n",
       "      <td>HTML/CSS</td>\n",
       "      <td>28.0</td>\n",
       "      <td>Man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>I am a developer by profession</td>\n",
       "      <td>Employed full-time</td>\n",
       "      <td>United States</td>\n",
       "      <td>Taken an online course in programming or softw...</td>\n",
       "      <td>Developer, full-stack</td>\n",
       "      <td>Slightly satisfied</td>\n",
       "      <td>61000.0</td>\n",
       "      <td>Less than once per month / Never</td>\n",
       "      <td>C;C++;C#;Python;SQL</td>\n",
       "      <td>22.0</td>\n",
       "      <td>Man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>I am a developer by profession</td>\n",
       "      <td>Employed full-time</td>\n",
       "      <td>Ukraine</td>\n",
       "      <td>Taken an online course in programming or softw...</td>\n",
       "      <td>Academic researcher;Developer, desktop or ente...</td>\n",
       "      <td>Slightly dissatisfied</td>\n",
       "      <td>NaN</td>\n",
       "      <td>A few days each month</td>\n",
       "      <td>C++;HTML/CSS;Java;JavaScript;Python;SQL;VBA</td>\n",
       "      <td>30.0</td>\n",
       "      <td>Man</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          MainBranch  \\\n",
       "0             I am a student who is learning to code   \n",
       "1             I am a student who is learning to code   \n",
       "2  I am not primarily a developer, but I write co...   \n",
       "3                     I am a developer by profession   \n",
       "4                     I am a developer by profession   \n",
       "\n",
       "                               Employment                 Country  \\\n",
       "0  Not employed, and not looking for work          United Kingdom   \n",
       "1      Not employed, but looking for work  Bosnia and Herzegovina   \n",
       "2                      Employed full-time                Thailand   \n",
       "3                      Employed full-time           United States   \n",
       "4                      Employed full-time                 Ukraine   \n",
       "\n",
       "                                            EduOther  \\\n",
       "0  Taught yourself a new language, framework, or ...   \n",
       "1  Taken an online course in programming or softw...   \n",
       "2  Taught yourself a new language, framework, or ...   \n",
       "3  Taken an online course in programming or softw...   \n",
       "4  Taken an online course in programming or softw...   \n",
       "\n",
       "                                             DevType                 JobSat  \\\n",
       "0                                                NaN                    NaN   \n",
       "1  Developer, desktop or enterprise applications;...                    NaN   \n",
       "2  Designer;Developer, back-end;Developer, front-...     Slightly satisfied   \n",
       "3                              Developer, full-stack     Slightly satisfied   \n",
       "4  Academic researcher;Developer, desktop or ente...  Slightly dissatisfied   \n",
       "\n",
       "   CompTotal                        WorkRemote  \\\n",
       "0        NaN                               NaN   \n",
       "1        NaN                               NaN   \n",
       "2    23000.0  Less than once per month / Never   \n",
       "3    61000.0  Less than once per month / Never   \n",
       "4        NaN             A few days each month   \n",
       "\n",
       "                            LanguageWorkedWith   Age Gender  \n",
       "0              HTML/CSS;Java;JavaScript;Python  14.0    Man  \n",
       "1                          C++;HTML/CSS;Python  19.0    Man  \n",
       "2                                     HTML/CSS  28.0    Man  \n",
       "3                          C;C++;C#;Python;SQL  22.0    Man  \n",
       "4  C++;HTML/CSS;Java;JavaScript;Python;SQL;VBA  30.0    Man  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_19.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Viewing year 2018 data,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Student</th>\n",
       "      <th>Employment</th>\n",
       "      <th>DevType</th>\n",
       "      <th>JobSatisfaction</th>\n",
       "      <th>EducationTypes</th>\n",
       "      <th>LanguageWorkedWith</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Kenya</td>\n",
       "      <td>No</td>\n",
       "      <td>Employed part-time</td>\n",
       "      <td>Full-stack developer</td>\n",
       "      <td>Extremely satisfied</td>\n",
       "      <td>Taught yourself a new language, framework, or ...</td>\n",
       "      <td>JavaScript;Python;HTML;CSS</td>\n",
       "      <td>Male</td>\n",
       "      <td>25 - 34 years old</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>No</td>\n",
       "      <td>Employed full-time</td>\n",
       "      <td>Database administrator;DevOps specialist;Full-...</td>\n",
       "      <td>Moderately dissatisfied</td>\n",
       "      <td>Taught yourself a new language, framework, or ...</td>\n",
       "      <td>JavaScript;Python;Bash/Shell</td>\n",
       "      <td>Male</td>\n",
       "      <td>35 - 44 years old</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>United States</td>\n",
       "      <td>No</td>\n",
       "      <td>Employed full-time</td>\n",
       "      <td>Engineering manager;Full-stack developer</td>\n",
       "      <td>Moderately satisfied</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>United States</td>\n",
       "      <td>No</td>\n",
       "      <td>Employed full-time</td>\n",
       "      <td>Full-stack developer</td>\n",
       "      <td>Neither satisfied nor dissatisfied</td>\n",
       "      <td>Completed an industry certification program (e...</td>\n",
       "      <td>C#;JavaScript;SQL;TypeScript;HTML;CSS;Bash/Shell</td>\n",
       "      <td>Male</td>\n",
       "      <td>35 - 44 years old</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>Yes, part-time</td>\n",
       "      <td>Employed full-time</td>\n",
       "      <td>Data or business analyst;Desktop or enterprise...</td>\n",
       "      <td>Slightly satisfied</td>\n",
       "      <td>Taken a part-time in-person course in programm...</td>\n",
       "      <td>C;C++;Java;Matlab;R;SQL;Bash/Shell</td>\n",
       "      <td>Male</td>\n",
       "      <td>18 - 24 years old</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Country         Student          Employment  \\\n",
       "0           Kenya              No  Employed part-time   \n",
       "1  United Kingdom              No  Employed full-time   \n",
       "2   United States              No  Employed full-time   \n",
       "3   United States              No  Employed full-time   \n",
       "4    South Africa  Yes, part-time  Employed full-time   \n",
       "\n",
       "                                             DevType  \\\n",
       "0                               Full-stack developer   \n",
       "1  Database administrator;DevOps specialist;Full-...   \n",
       "2           Engineering manager;Full-stack developer   \n",
       "3                               Full-stack developer   \n",
       "4  Data or business analyst;Desktop or enterprise...   \n",
       "\n",
       "                      JobSatisfaction  \\\n",
       "0                 Extremely satisfied   \n",
       "1             Moderately dissatisfied   \n",
       "2                Moderately satisfied   \n",
       "3  Neither satisfied nor dissatisfied   \n",
       "4                  Slightly satisfied   \n",
       "\n",
       "                                      EducationTypes  \\\n",
       "0  Taught yourself a new language, framework, or ...   \n",
       "1  Taught yourself a new language, framework, or ...   \n",
       "2                                                NaN   \n",
       "3  Completed an industry certification program (e...   \n",
       "4  Taken a part-time in-person course in programm...   \n",
       "\n",
       "                                 LanguageWorkedWith Gender                Age  \n",
       "0                        JavaScript;Python;HTML;CSS   Male  25 - 34 years old  \n",
       "1                      JavaScript;Python;Bash/Shell   Male  35 - 44 years old  \n",
       "2                                               NaN    NaN                NaN  \n",
       "3  C#;JavaScript;SQL;TypeScript;HTML;CSS;Bash/Shell   Male  35 - 44 years old  \n",
       "4                C;C++;Java;Matlab;R;SQL;Bash/Shell   Male  18 - 24 years old  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_18.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(88883, 11) (98855, 9)\n"
     ]
    }
   ],
   "source": [
    "print(data_19.shape , data_18.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Year on Year comparision of Total Developers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this section we would look upon our top 10 countries responds of developers for the year 2018 and 2019"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from utils import data_handle #For preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Make dataframe of developers w.r.t. their countries\n",
    "df = data_handle.make_country_df(data_19, data_18)\n",
    "df.sort_values(by=['2019'], inplace=True,ascending = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Converting the columns into percentage\n",
    "columns = ['2018','2019']\n",
    "for col in df[columns]:\n",
    "    df[col] = 100*(df[col]/df[col].sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>2019</th>\n",
       "      <th>2018</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>2.106886</td>\n",
       "      <td>1.905858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Australia</td>\n",
       "      <td>2.163983</td>\n",
       "      <td>2.366254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>Poland</td>\n",
       "      <td>2.190248</td>\n",
       "      <td>2.055337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>2.213087</td>\n",
       "      <td>2.185384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>France</td>\n",
       "      <td>2.724677</td>\n",
       "      <td>2.741446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Canada</td>\n",
       "      <td>3.856343</td>\n",
       "      <td>3.910372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>6.511362</td>\n",
       "      <td>7.681729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Germany</td>\n",
       "      <td>6.666667</td>\n",
       "      <td>6.366313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>India</td>\n",
       "      <td>10.317460</td>\n",
       "      <td>11.633956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>United States</td>\n",
       "      <td>23.840356</td>\n",
       "      <td>24.791103</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Country       2019       2018\n",
       "102     Netherlands   2.106886   1.905858\n",
       "8         Australia   2.163983   2.366254\n",
       "116          Poland   2.190248   2.055337\n",
       "22           Brazil   2.213087   2.185384\n",
       "52           France   2.724677   2.741446\n",
       "29           Canada   3.856343   3.910372\n",
       "154  United Kingdom   6.511362   7.681729\n",
       "55          Germany   6.666667   6.366313\n",
       "66            India  10.317460  11.633956\n",
       "156   United States  23.840356  24.791103"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Top 10 countries w.r.t. 2019 data percentage arranged in ascending order\n",
    "data = df[df['2019']>2]\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now obtain percentage of developers for top 10 Country for each year stored in dataframe named *data*. Further Plotting histogram,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ga+b0Zq4/lGqBRjVKmW+UgrfH9EMjEelGNUuZP5YfRE9Pbyye3Ff9LbDw7j10Gm16jwsSUZEoToVGvXHzzsMgwvvy1RtsXzYGEomWzcR15uiuKJg3m1n+1s8dioxfpzbXLzdFdx88xeaFw3Hv4VOIqApjid6btsvX7yJ2rJjqhsUSE0vsrfnemKTnU20SGfy5Yjt1gyY3aqZNfnynzd+gxtEU4X/y7BWGTVyEelV/R7YsX6vj5ObPbUAb83Hn/r0BSb2RVKMyxX40C4DcyNWq+Jt5vxbdRqvonCmtSCJbIkCmHF4Zh3sPn6ibJxEJ09a+3wQ8ePRcSZNEXwtVaIM6lYujV7u65n1ESOUJhEkcrOFgibHpOmG6YTHtY3q6IcIrkU3TfnJjnT93FovfFbnZb91rrLoWBZ4wW7+dK06eu6LONREaa5hKRHjJ2p3Yv26S+XyUG4/5K7Zh/7oJcHJysqqc4MJrzTXNNPFURDbwJE6JgLfrMx6zx3RX1wT53t24/QDbloxSNz6yyc2ByPrvv+RF/y6N1E2ipXPP4rWmUR91Q7VvzXjzxGRbXdus6ZPcTMlvUunffjQHCaSdt+4+UjIuoim/V6br0KfOd7nBK1SxrTpve7atY+6u3BxPW7DBfN56enmrm4kUSRMhlksM834/lWutottysyibCO9b93fq+mRK8zhz8Tokdc8kxsGvK9ZciyyeyPwjCWggEOWEVyRHog4SAQu8LVm7S0UOTXInP9wSBZ42IuiENxGwrJm/xvjB7ULFG1bhPXLqXzTpNAImWQlegTwWGj1tuVnaLDVAZFQeFwUWRNmvU/9J6vGsPA4Pi/BKRPfEthlBqvqlsszW/UFFl2SzJLzLN+zGmZ1zguRcBpY6Sd8YM20FtiwaoaIipk1SBao1729+7CvR2QWrtqtHZfLoUCaWhTZrXM0uP35BrYxg+vHaucJNse3YvKp6nCzyK/vII+3gqzSEJLxrtvyt8rEDb4UrtVMRSBOL4GNi+qFZNvVPZP/uG/PHEjmUqNymBcPU3wKzMZ03e1ePMz+Cl31EKOSGIHCEN1XyREEi3aaI2ug//1A/gnK+SwRSygq8zV+5DcJWzof4cWOjbpvBuHn3kbr5kMf6ebJlCpJ3HRbhDe17Y02b5F5NpEOiuK3/H4mT9ouA3nvwREWuLG3yWL5Wq4EY0LWResoRePux7B8oV/wn9bTCPC7BnqZ0GTgFIvqmcQkuvFKenKMS2Zf/ylMguQl8+85D3UhJ5Mr0oz6yXyuULVbA3ARTpNIkvNZwkNSV4JvpuyPXMLlxNm2SqlWxcR/VP5F4a4RX+qFuMFe6KYExbZLyJeehnGsS3bOGqan+wCkbpet2VxFuSU2xdmyCC6811zTTd1iiu/KkzrSZBKp3+7qoW6WEulkv9nMeyNgE3tr2Hq+ui3L9N10zgp97ls43kbrECeMGeVpnq2ubNX3K8X1GNTbBb1alrSKvP+b+Xl1LrTnf5QlS7daDP0p1O3jsPORGMHBKw/Z9x7Fy417cuvcI8pRAvgMvXr1Fhd8LmlfhETaSYhX4N1SecJRv0Aum61Pw64oEZ0K7Fln84vOPJKCBQJQT3npth0LuUCUSE3jbtPMwegyZbo5KioBIJG9M//8ez8n+8ihHvsQSKQ1tC0l4Rbz8AwLMOW2mcnbtPwmJFAWOIgauw5SXJ8sLSYQp+CaPpnMWa4qG1Uua77JN+/QfPRcbth/Cqe0zwyS8lpbiUsL7cx4VDZHNkvBaOi6w1Jn6Ymkym0xyM/1ASfnyiFWWm5MIt6SWSF6YRCACi3JgFqYL9MH1k3D4xAX1qO2vJSMhDCTK9GenBkqqJYreqUV1q4XXGhbBxySkZclErEREJcIqW2A2JtmQsTJFoWQfk6QGFt7gy5KZflBMkUw532XyZHDOAf4BKpVh7ZwhKj1AopoLV22HTKgUkZPIjUTFhU+c2C5hivCG9r2xpk2SxiHCK1F6eVRs2uRYSfkIadUEuYlp1nWUeirjEGyCm5xXxQv/oG5WrR2X4MIrT08qNe6DtKmTqehtyuSJVV3yVEN+vEV4Dx0/j+ZdR5tTiExtN93MmcTBGg6mHExL14GjW6apCLxpk0h30Wod1Zg1q1PWKuE1nWvHtk4PEq2TGytTDu+FSzetYirtkKdXks8pKUUmwTVFV60dm8DCK0JvzTXNJIfy3a4ZKGJvSk+QSKc8fpeyJA9UrgOBN7muxI0dSz3hMwlv8HPP0vXe0sRRW13brOmTpOTI+W5KMQvcRklbk7GQJyTWnO+m83bKsE749aec5qJMT0dM561pToQEIeRJn9yUydNEGXu5ppqWnbTEJvj1ydKNdGjXotB+d/k5CUQWgSgnvPIDJhOC5Icp8CZLmMnyWhLZkTwuERDJE5WLdeBNflAk3y/w49KQ4IYkvPLjKGIhj8ECb7K/PD76Z9MUi0JrihxIOoY8Zra0iXz+/mu+j9a6lVzY0xeuqTrv3H8CibwEn7RmenRlWjc4pKW4bCG8knMmUdYFE3ojoYUoVuIE8T6alCY3KiKwMmFJpEciXKa0jcAs5DN5vCZRHEldkOiD5KRt2nEY0xZuUGkEhSq0VTcceXNmNpzwmh51B18DNXDUTaLc1vygyOPqqzfvB0kLCMxK0nqC5ya+eu2uJuiNmrpcCaI8Og9LhDe07401bZJ0IkvCK1HRa/L9XeFm8fyXnPAaLQeoSY2SOxh8E5GXSKY1AiDHBhdeSWuR70Xw76BIhzxGluuK6ZF28HVLg0fKrOFgKW/U9KRn+7LRQdKyZFlGmSAmTxtqVChqlfDKxCMRNFOqj4mXPEmSeuQcvHv/iVVM5Vi5KZswa7V6ciDXk+17j2HH8jFKMq0dm+ARXmuuaSY5lFSzlvXLm4fd9DTLlDqVr3RLFP4xp5pvEHxzdHBQT/UiKry2urY9fvZSpVp9qk/y1EjSryytIV6wfBs1P0Giqdac73JjLDdhEuQJPOnVJLim81ny0yUaHPg7KDfP+Uu3UsdFVHgDj4ula1FkyQzLJYHQCEQ54TXJhMz4lrtf0yaP/GUWu1yonZwclfC+fuOOvYFys2TCW5GqHdXF8o8GHyY8fGoLSXhN+aMLJ/ZRs2llEymr3mLAh9UdRluOHktKguSzibxVLfuLuWqRWYk4ySxyyVEToZUcNdOMVrkYyYUze5ZvVCTg9Zt3KFihjVqxQFYuMG0iE9K28AivaaKPlBWSKAeOYop8y8Sb4LO6RXSkfRI5kwlKMvlNJo4FXpFBor3ykpHgP9KBx6Jl9zH4Jl0qqImATaqgXImfVG7zb9U7qQjvmOkrVDRHonMhpTQEjppYK//BzwdrfmjkmMBsZAKIpDwEzr2U86NSk76Qx8ZhifDKOSh56/LjFDjnVKKBMWJEV+kMMrP71IVrQR6/S5v6jpitJq9J+oBJeC1FkgL32ZrvjTVtCkk6ZH1r6U/glxLI+SITkSRXUVZQKVSxHSqX/tmcw21qn6R7SERcbpKsHRcRXvnem54ImQTxyOapKvItm8ymL1e/l5pcKJzlpTJyUyipGPJY3LTJhB1Z8cUkDtZwsHR9MQl1cMkxpWVJWyW/3ZqUBtNTpanDO+GXAv/dIMgTEIlIy7kW0zm6VUylrRJRlaCABASGTVysnhKYVnSRR9/WjE1w4bXmmmb6DgfP+d66+4iaiCU31j/k+FZF3mUSokxeDHyzLNdMWZlEnqhEVHhtdW3z8fVV1+1P9elDznpbFC+cV92YmjZTeonk08oTP2vOd/keSRqEzDWQ3xLTJiliskyd6byVmztZMUcYmjbTmMl4m9phzQ158OuKNdei0H53+TkJRBaBKCe88mMkk3/kDT692tZRs9dlcXnJY5MXDcijQJOAeHh6qQigLPslOYUSWZQ8243zXdUKBJY2mVkrERHZNu86rGY7S/pD9GjRlGDIZBKRlwbthynR6t66lhIR2U9WRBAJDpzrGbgOOU7uwCVvSh63yfJS8phdJoVInpRcGP85cVE94qpSprB63OTr66eWrJGy54/vbRZsifAmShAP8vhK2iVLP81avEktbRVW4ZWLsgiqRFFkopks+RNaSoP0S9opSyJJX77/Nr2a/CEzpm/ff6wi7fJ2qN9rdVE/3q0aVFRLiImoyaPWN2/fqXy7kDa5QC9cvUPJnExMk2NN4yocpUzT5JbgwmtaDkhy/oSjTNiTi76ulAaZPFKiVleVOjOgSyMkiB8Xs5ZsgjxalCheWITXtBKAnK+dW1ZX0c1L1+8qGZGVI0RMpFzJ3WtQ7XdULPWzerR97dZ99B81V81ml5xQS0wspaOI8Ib2vbGmTSFJh8inTEqUVTI6taimVk6YOn89Lly5hXVzhqicZ7mpnTp/HTq3rKFmrXv7+Kh8Q5FNSReS5cusEQA5X+SNXzKJcMbILkiUMJ6amCbL1smqGHKzaFri8Ot0KfHXnqOqDalTJkWLbqNw6eodDOnRDN9/m04tHyY54JLGYhIHaziEdH7Lja9MYBzYrTEyf5MW5y/fwiC3+SoNyzTJzxrhlQlbsuqEpEjJjaBcDyVvXybwyncn8CoNoTE1tVVuNuU6K8JsemJm+syasQkuvNZc00zfYfmey6QrydN//PSFWsZPJFYmSEogw7TEXtUyv6J25WLq/JEVGuRpk1yLJYc9osJrq2ubtX2Sa+aMxRvRvXVtNclWrqPDJi5RN2rr5w1VN7XWnu+Sy/zPyQvo27GBOpeOnb6sJiLKuWY6b+WGU56UjR/UTk2WPnjsnEo7k3NJcnDl5kl+06wR3uDXFVlRo357109eiyJLZlguCYRGIMoJr3RI8ojcpq3A0dP/wsvLR+WCysUv8GoB8sMtS2WJiElu49Nnr5AubQp0+6OmWgc2pM30uNHS5yKFplQKWfFBXi0ssi0XCvkRlkhIaG8hMx23+8AptV6qRKxaN6wU5JWPMvNafpwu37gHeUwnfWjTuJJaU9G0ycQa1/GLlNhIpErW45Wy+o2co15BKj+A1kY1V2zYoybTRYvmhBF9Wqpl3qwRXsnVMj32fPriFRLEi6PaKDmIwko2EeJxs1bj9PmrapkoSX8okCcr2jetYt7HEmtTrpg8ojTlycp+0j8Rj4FdG6NauV/VoZZeLSw/lBIdksjy2tlDMGnuWm3CK22SGfJDxy9S/U+cML5aYk6i0SLeMolQlvix5gdFypIfFbmhE3GQCHqyJAnVo0eJPpoemcu6m7OXbFHng6SESLRLpEGilKY84uBMRI6Cb9Z+b0Jr06ekQ1KS5LsjOd2y/qncRHb9o5Z5zVFpU+C1XmPEcFYveJFlqOQGVjZrBUAe3XbqPxlv3N+hYfVS6umORGYXr9mpbrrkuyXrOMtNQstuo+Hh5Y0F43shTuxYGDBmHo6cvKgYl/g1r1oBQ1Y/MC0haO3YWDq/5bswduYq7Np/QgmaCIakMsnjb9PMeWuEV8qW9Wjluy7/jR3bRS03lSVjWvVdMa35bA1TUztN8yFkWStZqSX4FtrYWFqHN7Rrmuk7LLn/chMi4ytjkTtrRjWBMfAriuV7MHneh3V4ZZNrRK1Kv5knOdpCeG1xbbO2T3IDL2kUKzbuVTcpktctK1LIddQUmLH2fJe+y42T3ATIli9XFvU0U1Y4MU1GlGuILPO379BpNRelUL7saok+eUI6YMxcJE+SUD0Vsvb6FPy6curC1VCvRaGJCT8ngcggYGjhjUiH1Q/39xnUWqzcSEA3AUnnkEeugSclyY/MnoMnVcTaqBu/Nx9GRm4aRAwCr30rEWCZrBg4HcOo4xjV2mWSw8A3slGtD8Hba499iupjwvZ/2QQovF/2+LP3kUBAVhP4vXZXJE+aSL2YQlJP5FHskPEL0bJeefUyCKNuFN4PIyMTeyTCOqh7E/U2PJnQJlFUmWwqL7HgZlsC9iiH9tgn2446SyMBvQQovHp5s7YvhIAp7ebk+SvqBRUiSrKoe/3qv5tfhKAdT3MAACAASURBVGJEFBTeD6Mi6/PKxEiJyMsEn6RJEqpUqPZNqqg8WW62JWCPcmiPfbLtqLM0EtBLwG6FVy9G1kYCJEACJEACJEACJGBUAhReo44M20UCJEACJEACJEACJGATAhRem2BkISRAAiRAAiRAAiRAAkYlQOE16siwXSRAAiRAAiRAAiRAAjYhQOG1CUYWQgIkQAIkQAIkQAIkYFQCFF6jjgzbRQIkQAIkQAIkQAIkYBMCFF6bYGQhJEACJEACJEACJEACRiVA4TXqyLBdJEACJEACJEACJEACNiFA4bUJRhZCAiRAAiRAAiRAAiRgVAIUXqOODNtFAiRAAiRAAiRAAiRgEwIUXptgZCEkQAIkQAIkQAIkQAJGJUDhNerIsF0kQAIkQAIkQAIkQAI2IUDhtQlGFkICJEACJEACJEACJGBUAhReo44M20UCJEACJEACJEACJGATAhRem2BkISRAAiRAAiRAAiRAAkYlQOE16siwXSRAAiRAAiRAAiRAAjYhQOG1CUYWQgIkQAIkQAIkQAIkYFQCFF6jjgzbRQIkQAIkQAIkQAIkYBMCFF6bYGQhJEACJEACJEACJEACRiVA4TXqyLBdJEACJEACJEACJEACNiFA4bUJRhZCAiRAAiRAAiRAAiRgVAIUXqOODNtFAiRAAiRAAiRAAiRgEwIUXptgZCEkQAIkQAIkQAIkQAJGJUDhNerIsF0kQAIkQAIkQAIkQAI2IUDhtQlGFkICJEACJEACJEACJGBUAhReo44M20UCJEACJEACJEACJGATAhRem2BkISRAAiRAAiRAAiRAAkYlQOE16siwXSRAAiRAAiRAAiRAAjYhQOG1CUYWQgIkQAIkQAIkQAIkYFQCFF6jjgzbRQIkQAIkQAIkQAIkYBMCFF6bYGQhJEACJEACJEACJEACRiVA4TXqyLBdJEACJEACJEACJEACNiFA4bUJRhZCAiRAAiRAAiRAAiRgVAIUXqOODNtFAiRAAiRAAiRAAiRgEwIUXptgZCEkQAIkQAIkQAIkQAJGJUDhNerIsF0kQAIkQAIkQAIkQAI2IUDhtQlGFkICJEACJEACJEACJGBUAhReo44M20UCJEACJEACJEACJGATAhRem2BkISRAAiRAAiRAAiRAAkYlQOE16siwXSRAAiRAAiRAAiRAAjYhQOG1CUYWQgIkQAIkQAIkQAIkYFQCFF6jjgzbRQIkQAIkQAIkQAIkYBMCFF6bYGQhJEACJEACJEACJEACRiVA4TXqyLBdJEACJEACJEACJEACNiFA4bUJRhZCAiRAAiRAAiRAAiRgVAIUXqOODNtFAiRAAiRAAiRAAiRgEwIUXptgZCEkQAIkQAIkQAIkQAJGJUDhNerIRGK7Hjz3iMTSWbSJQOJ4MeDu4QMvH39C0UAgZSIXPHrhgQANdX3pVURzckCiuDHw5JXnl45CS/9jxXCCc3QnvHL31lLfl15JgjjO8Pbxw3svP5uhSJXYxWZlsaDwEaDwho9blD6Kwqtn+Ci8ejibaqHw6uNN4dXHWmqi8OrlTeHVy1tXbRReXaQNUs+bm7fw3sPHIK2x72bEjOEEH19/+Pkx5qhjpGO7RMM7D18dVX3xdTg4AjGdo8HDk7x1nAxyg+Hk5AAvbz4tCs7bP4YLkCCxTYeBwmtTnIYpjMJrmKHQ05Dnrj3geOOinspYCwmQAAmQAAlEIgGv2h3hn7Mg4GC7Sii8tmNppJIovEYaDQ1tedG3NRyvnNVQE6sgARIgARIggcgl4NWsH/zy/ELhjVzMdlE6hdcuhtH6TlB4rWfFPUmABEiABIxNwJLwbt9zGLv2H4OToyMypE+DpvUqmTvRe8gkZM38DepWL2P+29Pnr7B41Rb17zpVS+Pb9Mlx6Ph5/Hv1LqqWL2YTAJy0ZhOMESqEwhshfFHvYApv1BsztpgESIAESMAyAUvCO2fxejSoVQ7RnJzQotMQTBrRA87O0bF+6z5cuX4bqZInCSK823YfQqKE8eEcPTruPXyMCiV+wsjJS9C5dX04ONgmV4LC+/nPYArv5x8DrS2g8GrFzcpIgARIgAQikcCnUhpu3XmA2YvXYXCv1rh3/zGWrduOX37Kg6vXbwcR3n2HTkByIqJHjwYvT29cvX4T+XJnxdHT/yJ50sSoVKZIhHtA4Y0wwggXQOGNMMKoVQCFN2qNF1tLAiRAAiQQMoGQhPfQsbP4++AJtG1eEzFjxsCQMTNVxPbSlVsfCa+Xtw8Wr/yQ0pAmdXLEdXHGkVMX0apxDUyfvxpN6lZE3NixIjQMkSm8dx744slz61cDih/PARnTRbPlPL8IsdF1sF0J78vXb/FzxXY4tnUaYrnENDNcu3U/Nu04jNlu3T/JNW+pFti0cDhSJE0EOaZy6cJhGodL1+6g45+T8NeSkR8dd/XmPYycvAyXr9+Bn78/UqdIgo7Nq6Fg3mxqX2vrs3a/kBpO4Q3TkHJnEiABEiABAxOwJLw79v2DG7fuo0WDKiol4eKVm5izaB0SJIiLl6/e4O3b92jTtAZyZvs2SM+ev3iFhSu3YECXRugzbAa6tm2ohLdGxRIq5SEiW2QK7+kLPpg+B/CxcpXAhnUC8HN+Z9goWyMiWLQeS+ENhPv5yzdIGD+uOgl+rdIBf6+dEKbB+JTwlq7bA41rlkK1ckVU+dv3HUOf4bOwa8VYxIsby6r6AgICrNrvU42m8IZpSLkzCZAACZCAgQkEF15fPz9Ua9QNOb7PZBa6Nk1rIlnSRKoXR09e+CjCa+remCmL0Lx+ZXyVMiF27T+JY2cuwd/fH62b1IgwAXsRXvd3HhjoNg8Hj55XKSC1Kv2GPxpUVHzu3H+C3sNm4t+rt1VQb1D3JsiVNaP6TMZl3MxVmLtsKw6sn6hcS7bXb9+h/6i5EH8SNxJHalr7vwmFEQYfqIAvTngXrtqOy9fvwtvbB3cePIGfnz/GD2qLVCmSwBThHTp+EXYfOIkM6VNj+sgu8PLyRv/Rc/HsxWsVOe7dvi5yZ8ukMM5cvAnL1u1G/HixUbJIfhWpDR7h9fH1Q+4SzbBn1VgkTZzAjP/2vcdIkzIpOvafFKQ+qWeQ23y8efsOMZyjo0/H+vgx93do13eCVe3y8fFF35Gzcfr8NRVNzpMtkzrxYsZwBoXXll8flkUCJEACJPA5CXBZMkBnhHfo+IV48eothvZshhcv36B268EY07818ubMjPrthqJQvuxoWqcs9h0+DdcJi7Bt6WhEj+aEdn3GI0vGrzBt4QYVTDQJ75BxC5Wn9O/cEG/d36NKsz8xtEcz5M+dxean1RcnvIvX7MTkeWuxYZ4rkiSKj4Fj5iF+vDgqvcAkvCKZRat1wukdsxTwqs3+VHcx1csVwblLN9XA7Vg2Wglz3TZDsGnBMCROGA89h87AmYvXLaY0yDGPn71Eg2ol8WOe74KIr6RiBK6vWvP+qF/td1QsWQibd/2DKfPWYfPC4Qi+X0jt2n3wFFZs3INZo7shIAAYM205ihX+AXmyZ6Lw2vwrxAJJgARIgAQ+FwEKr17hFb/InCGtiuDK1rb3eBQtlBtFCuZCqTrdcHjTFLU6hmziMj3a1Ea+XFlUBFeEN/tvjYMIb+NOw1GrYjGULJJPHSNpoQV++B61Kv5m81PqixTew8cvYJJrBwVz0eoduHD5Fob1bm5ReB8+fo7yDXvh6JbpcHT8sDxJjZYD0O2PWrhx+wH2HzlnLuvA0XOQuxVLObwS5V2xYQ+27T2Ks//ewDdfpUTL+hXUIAcXWU8vb0SPFg1OTo6Q9QGL1+iCM7tmB9nvU+2S47oMnIIBXRqrE0cE3rTdPXwKfl7eNj+RWODHBBwByDQC66cSkGJECMjX05+wI4LQ6mPlSiiPH8nbamQR2tG0MBZP748x+rgkxJPoX0WIr5NTAL5KrRZqUFtUe9OazghvYNCS3lCuQS81P+r1m3fqyfS6uUPMu3QdNFUF+CRYaNqCC++0BRuUS7n2bo5Xr91VxHja8E7qCbutN7sSXgFesEIb/LNpCuLG+W9G5cpNe7Fj33HMGNUVEuE9e/E6RvRtqVgG/relCO/5yzdR+49BSP7//B85xsPTC392aojb9x7h1t1HcO3VXJUl0d9ug6ZaFN7AAydCu/PvExgwZi7muPVA2tTJgkR4t+w6gqXrdkIkWVIuLl27jXO75wYR3k+1SyR6295jWLpul8qlKVU0P3q2rQuXmM4Y4uaNW7dts66grU9GlkcCJEACJEACugmkSROAxvX9EP3/sSEKb+gjIB7T8c+JyPFdBrRuVEm9qGP8zNVYPr2/+WCZp/RthrRoWL1kiML73sNLpULcf/QMHh5eaFijJDq3jHjOtKUe2JXw+vsHIF/pllgwoTeyZk5v7u+wiYshgzOwa+MwC++jpy9QsVEfHNk89SN+y9bvxsGj5zBx6Ido8d5DpzF80pKPhPfhkxe4dvMeCv+YI0gZLbqNRvHCP6DEr3nNwvv46UuUqtsdq2YORIZ0qSD1l6jZ5SPh/VS7Alfyxv09ugyYgkL5s6FRjVIU3tC/x9yDBEiABEjgCyJA4Q3bYItXtOk1FvllblGTKurgU+evou+I2Sr90rS17zdBec+nIrydB0xG+rQp0LZxFbi/98AfPdxQs2JRVPi9UNgaZcXediW80t/BYxdAlgCThOpkSRLiwJFz6Ok6A7PHyKzNDFYJb2yXmCpSfGSzLG8WQ+WhNK5VGmWLFVDJ2sMmLlLyLDMSG3ccjg3zXZEoQTyVRiB5KsFTGm7eeYgaLQeqtInfCuVRjwJPnL2C9n0nYM7YHioXxlTf/UdP0ajjcOxZORZOTk4YO3OlmtV4YtsMyGQ0a9q1Zst+vH7jru66ZOs3co6SZ+kDI7xWfCu4CwmQAAmQwBdDwJLwnr14A5PnrVFPRv39AtC7U1NcuHwNE2YuR5pUyRWbymWKIG+u782clq3dpv6/rKhUu0op9d+RExegddPqyPxV4kjjqTOlQdYsbtp5pHpyXK9qCXOfJDVT0i8PbpikJsjLVrZ+Twzu3gR5sv+3/FvwlIb8ZVphxfQBSnplm7Foo3KrIT2a2pyX3QmvDMb4mauwaedhyF2IiF7bJpVRtGBuBc+alAZZh7dZ11G4eOUWpo/ootIjBoyZh0dPXqg1/RrVKIma/0+onjhnDVZt2oc4sV1Qs0JRLFi1HTuXj/looCTcP3nuOoj8Sp5Q2pTJ0KJeeRQrnEftG7i+JWt3qeVQ4seNjW6ta6njZGmUxZP7WtUuOfHkUcKV63fh4OiI7Fm+ViePrDBB4bX5d4gFkgAJkAAJRGECloR3+fpdyJ41C1KlSIpJs5bhp3w5IDmrj58+R42Kv1vs7eAxs9CvSzMMGzsHvTo1weqNu/B1+tTIkz0L7GVZMplE//TFa7WqQvCtaZeR+CFHZjSvW07NVxo/azW2Lh5hnsQm+wcX3jqtB6P4Lz+gSa0yavWsVj3c1AS4BoHSIGx1atmd8NoKjL2WQ+G115Flv0iABEiABMJD4FMpDe89PNF/+FT069oC+/85ib0HTiBhgrhwdHBEswZV1GpPps0kvK5jZ6NO1dLYvf8YXFxiqCVGB3auF56mWXWMzghv8Rqd8fT5azj8fxK/NFBWVOjZtg5kMn2PodPVQgBpUyVTT9olvVQmoxWp1lH1RZ5Uy/q9sklwUJYik8n+9x4+VQHFgvmyoVe7umopM1tvFF5bEzV4eRRegw8Qm0cCJEACJKCVQEjCe+nGfcxZvA6Na1dAurSpIG9i8/bxRcrkSXD05HnsOXAcPdo3Mrf1yIlzOHfxGjJnSo+DR06jVuWS2H3gOCqW+gXZM6WMtD7pFN5I64SGgim8GiAbqQoKr5FGg20hARIgARL43AQsCe+/1+5gxoL16NKmPuLE/rDq05nzVxA7tgsyfp0WFy/fwNote9Cn08e5pguWb0Kh/DlVSqFIcMXSRZAxTcJI6+adBz548tz64uPHc0DGdNFMq7BZf2AU35PCG8UHMKzNp/CGlRj3JwESIAESsGcCloS3TU83eHh5Ie7/ZbdMiZ9VPu/46UsRO1ZMeHn7qsloX6X+MNnKtF24dB0XLl9Xeb6yrOiEmUtVDuuwno3tGWGU6BuFN0oMk+0aSeG1HUuWRAIkQAIkEPUJRPVlyaL+COjpAYVXD2fD1OI21Rt37/HFE4YZEDaEBEiABEjgsxJIlSoANapG3RdPfFZ4UahyCm8UGixbNPXmXV+4e/rZoiiWEQoBF2cnePv6w4/vX9VyrsSJGQ3vPH35KmcNtGWCdkznaHjv5auhNlYR3ckBTo6O8PThtTsyzgZZGz9RQn9z0VHtTWuRwcQey6Tw2uOohtKnB889vsBe6+9y4ngx4O7hAy+f/y6k+lvx5dSYMpELHr3woPBqGPJoTg5IFDcGnrzy1FAbq4gVwwnO0Z3wyt2bMDQQoPBqgPwZqqDwfgbon7tKCq+eEaDw6uFsqoXCq483hVcfa6mJwquXN4VXL29dtVF4dZE2UD0UXj2DQeHVw5nCq5ez1Ebh1cucwquXd1QTXve7d+Dz5DGsfbzlmDAR4mXIwGXJ9J5WrO1zEKDw6qFO4dXDmcKrlzOFVz9vCq9e5lFNeF+dPoWAUV3h4ONlFaiAtoORoHBRSO7yl7QxwvsljTaANzdv4b2HzxfW68/T3ZgxnOAjk9b8Aj5PA76wWmO7RMM7j48nUQXEiY+A2HG/MBqR211GeCOXb/DSKbx6eVN4Q+bt/s4DA93m4eDR8+oVwbUq/YY/GlRUB9y5/wS9h83Ev1dvI3WKJBjUvQlyZc2oPvP188O4maswd9lWHFg/EQnjf7gmv37zDgPd5uOfkxfgEiMGurWuhVJF80fKgFN4IwWrcQt97toDjjcuGreBbBkJ2JJAzFjwatwb/um/tWWpX3xZFF69pwCFVy9vCm/IvIeOX4gXr95iaM9mePHyDWq3Howx/Vsjb87MqN9uKArly46mdcpi3+HTcJ2wCNuWjkb0aE5o12c8smT8CtMWbsDfayeYhbffyDnw8PTCsF7NceXGPTTtMhJr5wxBymSJbD7oFF6bIzV2gS/6tobjlbPGbiRbRwI2IhDgEhte7YbD/+ssNiqRxQgBCq/e84DCq5c3hTdk3rsPnkLmDGlVBFe2tr3Ho2ih3ChSMBdK1emGw5umqDfLyVateX/0aFMb+XJlwaVrd5TwZv+tcRDhLVGrK9wGtEH2LF+rY7oMnII82b9F3SrFbT7oFF6bIzV2gRReY48PW2dbAiEJ76mzlzBt/mpULPUr5JWhss1ZsgG3bt+Hp7c3GtQoh2zfZTA35tipCzhz/greeXiiffNacHBwwKKVm5E3V1ZkyZTeto2OAqVRePUOEoVXL28Kr3W8Jb2hXINemO3WXaUmDHKbj3Vzh5gP7jpoKn7M8x2qlyti/ltw4S1ZuxtG929tFt6+I2arVzf3alfXukaEYS8Kbxhg2cOuFF57GEX2wVoCIQnvnv3H8erNW8Rwjq6E9/bdB0p4B/ZohTdv3PHniGkYN7SruZoRE+ajU6s6WL52G4oWzg/3d+9x4sy/qFuttLVNsav9KLx6h5PCq5c3hTd03p5e3uj450Tk+C4DWjeqhEPHz2P8zNVYPr2/+eA+w2fh2wxp0bB6yRCFd8DoeXB/76FSGq7ffoCW3cfgt0K50b9Lo9AbEcY9KLxhBBbVd6fwRvURZPvDQuBTKQ3rtuyFc/RoSnj3HjiOh0+eoXaVUqr4Vl1dMXVULxXJlW3CjKVoWKsclq7ZhvIlf8XCFZuQL09W3Lr9ADmyZkK+3FnD0qwovy+FV+8QUnj18qbwfpr3G/f3aNNrLPLn/g7tmlRRO586fxUSnd28cLj54Pb9JqDwjzk+GeE1TVo7e/EaMmf8CkkSxUf8uLHRuWUNmw86hdfmSI1dIIXX2OPD1tmWQHiFt2WXoZg2urdZeO8/fIpN2/9GkkQJ8OzFK5Qt/jPmr9iEPp2awnXsbPTu1NS2DTd4aRRevQNE4dXLm8IbMm8vbx807TxSraRQr2oJ844vX79F8RpdcHDDJMSM4az+XrZ+Twzu3kTl5Jq24CkNwWv6o+dYlCvxE8oWK2DzQafw2hxp+AosWq2jmukY+MQIrSRJAu/45yT8tWSkWurjxp2H6uT61EbhDY0qP7cnAtYK7937jzBr0TqV0vDy1RsMHjMTboO7fIRCcnkfPXmO8iV/wbCxc9CrUxPzf+2JW2h9ofCGRsi2n1N4bcsztNIovCETmjJvHZ6+eI3+nRt+tJOssPBDjsxoXrcctu09ivGzVmPr4hHmSWxyQHDhHT1tufq8Q7OqOHjsPCQNYsuiESqP19YbhdfWRMNZXkSF18PTG35+fogT24XCG84x4GH2R8CS8EqEwtVtlhJXB0dHpEudQonrwuWbcPXGXXj5+KBx7QofTUZ74/4OM+avQdc29RWoxSu3wMvHF4kSxEOlMv9NyrA/ih/3iMKrd5QpvHp5U3hD5l28Rmc8ff4aDo7/vbWiVsXf0LNtHTx8/Bw9hk7Hhcu3kDZVMrV0WdbM6fHqtTuKVOuoCvXx8VXr98q2c/kYtT5v14FTce3WfSRLnAADuzVG7myZImXAKbyRgjXshQYW3gLlWqNzi+rY/vdx3HvwFFXKFEaLeuVVoTMXb8KydbsRP15slCySH2u37v8ownvu0k01W/LN23dqUk6fjvXxY+7v1PGM8IZ9bHhE1CXAZckiZ+wovJHDNaRSKbx6eVN49fLWVRuFVxfpUOoJLLwFK7RBjfJF0bF5NTx++hIla3fF4U1T8eDxM9RtMwSbFgxD4oTx0HPoDJy5eP0j4ZW17+pX+x0VSxbC5l3/QB5BmBLJKbwGGXA2QwsBCm/kYKbwRg5XCq9eriHVFtWE1/3uXXg/eQyHAOve6umYMBHiZciAL+zNwsLHSkLGOA/tthXBhXf2mO74LlM61d+fyrXGypkDcfDoOew/cg6TXDuovx84eg5Dxi38SHhluZDo0aLByckRT5+/UonkZ3bNVsfcPXwKfl7edsvRSB1zBCCXH+suQUZqedRsizxh8w8GW1ZZeBcrBV46JYu0TsWNAyRJ/GWNMoU30k4niwUzwquXd1QTXr10om5tFF6DjF1w4V029U98lTq5ap1EfOXff+05ilt3H8G1V3P1d0ld6DZo6kfCu2XXESxdtxM+vn7w8/PHpWu3cW73XHXMEDdv3Lr9pd3XGWSQ2Qy7JFCvjh8yZQjA/1cws8s+Bu8UhVfvMFN49fKm8Orlras2Cq8u0qHUY43wHjp+QUV5Jw79EOHde+g0hk9aEkR42zaujFJ1u2PVzIHIkC4VHj19gRI1u1B4DTLObIb9EaDw2t+YGq1HFF69I0Lh1ctbV20UXl2kbSC87z280LjjcGyY76pmhss7p2VpssDLkjWo/jsadRyOPSvHwsnJCWNnrlRLlp3YNkOtjccIr0EGnM2wGwKWhNfSq4u37zmMXfuPwcnRERnSp0HTepXMDCT1aPGqLerfdaqWRrIkCXHy3CXcvHUfVcsXMxwrRnj1DgmFVy9vCq9e3rpqo/DqIm0D4ZUUh4lz1mDVpn1q+bGaFYpiwartammPwOvw9nKdiWNnLqm3lXRrXQuT566Dv78/Fk/uS+E1yHizGfZDwJLwBn91sfR2zuL1aFCrnFpzskWnIZg0ogecnaMrENt2H0KihPHhHD067j18jF8L/oDJs1eie7sG5pdfGIkYhVfvaFB49fKm8Orlras2Cq8u0gaphxFegwwEm2E3BEJKaQj86uLAnb115wFmL16Hwb1am/+879AJAA5qfUovT2+cv3RNva74zIUrSJ40seHW+aXw6j19Kbx6eVN49fLWVRuFVxdpg9RD4TXIQLAZdkMgLMJ76NhZ/H3wBNo2r4k4sWOZGcjLMORFFrKlSZ1cpT2cOncZbZvVxPT5q9GkbkXEDbT/54ZH4dU7AhRevbwpvHp566qNwquLtEHqofAaZCDYDLshYK3w7tj3D27cuo8WDaqEmKbw/MUrLFy5BR1b1sHwcXPRo0MjJbw1KpZQKQ9G2Si8ekeCwquXN4VXL29dtVF4dZE2SD0UXoMMBJthNwSCC6+lVxd3a98Q1Rp1Q47vM5mXL2vTtCaSJU0UhMOYKYvQvH5lxIsbGxINPnvhisq/b92khqF4UXj1DgeFVy9vCq9e3rpqo/DqIm2Qeii8BhkINsNuCHBZMrsZSsN2hMKrd2govHp566qNwquLtEHqcZvqjbv3+OIJgwwHm2EHBCpX8kOGr/niCTsYSsN2gcKrd2govHp566qNwquLtEHquXnXF+6efgZpjX03w8XZCd6+/vAL/r5b++72Z+tdnJjR8M7TV/urnJ1jBCBubL5a+LMN/BdQMYVX7yBTePXy1lUbhVcXaQPV8+C5h4FaY79NSRwvBtw9fODl42+/nTRQz1ImcsGjFx7ahddACLQ1hTm82lCriii8enlTePXy1lUbhVcXaQPVQ+HVMxgUXj2cTbVQePXxpvDqY03h1ctaaqPw6meuo0YKrw7KBquDwqtnQCi8ejhTePVyltoovHqZM8KrlzeFVy9vXbVReHWRNlA9FF49g0Hh1cOZwquXM4VXP28Kr17mFF69vHXVRuHVRdog9by5eQvvPXwM0hr7bkbMGE7wkUlrfnonNEltAXESALHj2DfgYL1jSoO+4WaEVx9rqYnCq5c3hVcvb121UXh1kTZIPc9de8DxxkWDtIbNiBQCLrHh1bgX/NN9GynFG7VQCq++kaHw6mNN4dXLWmqj8OpnrqNGCq8Oygaq40Xf1nC8ctZALWJTbE4gVlx4thsG//SZbV60kQuk8OobHQqvPtYUXr2sKbz6eeuqkcKri7RB6qHwGmQgIrMZIQjvvoMnsG3PYXh6eaFi6SL4teAP5lZMn7cadx48Vv9+9Ogp2bHJWQAAIABJREFUqlcsjlLFCql/BwQEYOLMZYgTOxayZvkGP/6QHS9fvcGcJRvQpXW9yOxJmMqm8IYJV4R2pvBGCF+YD2ZKQ5iRRegARngjhM+wB1N4DTs0kdMwCm/kcDVUqRaE18PDE72GTMLoQZ3g6+OHqzfuIPv3GT9qtqeXN1zdZqNvl2Zwdo6uPn/4+Bm27DiAxnUqYtSk+ejRvhHcpi5C49oVkDBBPMN0ncKrbygovPpYS00UXr28Kbx6eeuqjcKri7RB6qHwGmQgIrMZFoT30tVbWLrmLyRLkgjPX7xSEd6c2T7O8Z27dANyZc+M3Nn+S4eQaO7iVVuU8M5cuBaZM6RDtOhOuHX7IZycHFGvehmzHEdmt0Irm8IbGiHbfU7htR1La0qi8FpDyXb7UHhtx9JIJVF4jTQaGtpC4dUA+XNXYUF4z128hgXLN2LkgI54++49uvYbixlj+wZpqfu79xgwYrqKAgff1m7egyfPXiBPjiw4fvoi0qdNheRJE+HVG3e4uMTAT3lzfO5eg8KrbwgovPpYM8Krl7XURuHVz1xHjRTeMFB2f+eB8bNWYef+E3jx8i0SJ4qHYj/nQacW1RHLJWYYSvp8u1J4Px97bTVbEN7Xb95iqNscjBzQAT4+vmjTffhHwrvr76N4/vIValT83WJT/f0DMGrSArRvXlPlAn+bMT2kXE8PbxQtnFdb90KqiMKrbwgovPpYU3j1sqbw6uetq0YKr5Wk/fz8Ua/dUMSPGwtdWtXEV6mT497Dpxg1ZSkcHBwxdfjHUbGQipay5FHw59govJ+DuuY6Q5i0tnHb3zh28gK8fXxRunhBNWmtbqs+WDxtqGrgjAVrkDVzBhT6MafFBq9cvwPfffsNsn2XAY+ePMeS1VshEtyiQRXEixtbcyc/ro7Cq28IKLz6WFN49bKm8OrnratGCq+VpCWqO2TcQmxbOgox/j+ZRw6VST4S+U2SKL4qad/hMxg7YyV8fH2RNlVSDO7eFEkTJ8C8FX/h6o17+PfqbfxSICcSJ4yHS9fuwNvHB1dv3EeKZIlQq+JvWLpuF27dfYQ2jSuhwu+F1Az5EZOXYveBk/APCED+XFkwqHsTRHNyQoFyrdG5RXVs//s47j14iiplCqNFvfKo3mIAmtUpi5JF8qk27Tl0CpPmrMXqWYNA4bVywKPyblyWLCqPXpRoO4VX7zAxh1cvb6Y06OWtqzYKr5Wkh09agvcenhjUrUmIRzx78RrlGvTCwom9kenrNJi3/C+cPH8FEwa3x+I1OzB1/gYsndoPaVMlw+I1OzFj0UZsXDAMsV1iokStLiiULzsGd2+C42cuo//oudi8cLiS1bHTV2LlzIFwAFCz1UA0r1seZYr9iIIV2qBG+aLo2LwaHj99iZK1u+LwpqlYvmE3Tp77UK9sfUfMRro0ydG8bjkKr5XjHaV3o/BG6eGLCo2n8OodJQqvXt4UXr28ddVG4bWSdJ/hs5AsSUJ0aFZVHbH/yDn0GT7TfPQctx64cOUWtuz6B9NHdlF/F0GWKOyp7bOwbP1u7Dt8GjNGdVWfifAeP3MJYwe2Vf+u324o6lYpgVJF8yt5Ld+wF45umaYivB6eXuYc4QGj5yFVisQqkivCO3tMd3yXKZ0q46dyrZUYO0ePjtJ1u2Pv6nHquF+qtMeyqX8q0b57+BT8vLyt7DV3iwgBSVpRr/mNSCGhHOvoADg7B6ibIfPm6Aj/RCkQkChpJNZsvKKZ0qBvTCi8+lhLTRRevbwpvHp566qNwmsl6dHTluPlq7cY2rOZOsLb2wdv3N+bZVXE9fDxC5g8by0SxI9rLlXSHTYtGIZte4/hzIVrGNmvlVl4L1y+CddezdW/G3YYhsY1S6NIwVyQSHGpOt1w/K8ZePHqLUZPXYYbtx8ADg548OgZ6lQujlYNKijhFZGVfGLZAv+7cafhKiUiVYokcJu2Asun91f7DHHzxq3bQfTISgLczYgE8uf1R9nSfnBw4JhSePWdoRRefawpvHpZS20UXv3MddRI4bWS8oGj59B9yDRsXzoacWK7BDmqTL0ecBvQRuXobt93DBOHdvioVInonr14HSP6tgyT8EpEV/J8JRdYJrr1GzkHqVMkCVV4V23ap9qSPm0KpEqeBI1qlqLwWjnWUWk3Cu9/o0Xh1XfmUnj1sabw6mVN4dXPW1eNFF4rSUtqQbOuo+Dt7Ys+HeohQ/rUePz0BRas3Ia/9hzFmtmDVUmVGvfF4sl9Vc7suUs3sXH7QfRuX0+lMIRHeDv+OQm5smZUwiqT3Nr3naDSHjq3rPHJCO/rt+9QvEYXxHKJoaLAKZMnpvBaOdZRaTdLwvvuvQfGTlsMby8fBCAAfTo1Q8yYzkG69ebtO7ToNFi9US3bd/+9ce3YqQs4c/4K3nl4on3zWipyvGjlZuTNlRVZMqU3NBoKr77hofDqY03h1cuawquft64aKbxhIC0rMkyeuw5b9xzBs+evkChhPPxaICdaNaiI5EkTqpJMqzTIvrFjxVRynCf7t+EW3lPnr6KX60xEj+aE7N99g2I//4A+I2ZhWO/mkLzikFIapC1te4/Hy9dvlYCbNqY0hGHAo8CuloRXBDVtqhT4tdAPuHTttorwB182TNbT9fTyQuUyRYMI74gJ89GpVR0sX7sNRQvnh7yM4sSZf1G3WmnD06Dw6hsiCq8+1hRevawpvPp566qRwquL9GeoR9IhMmdMi9qVilF4PwN/HVVaEt4+Qych+/eZcO/BE7jEjIEWDauqGybTtmPfP/D09MbjJ89RIG/2IMI7YcZSNKxVDkvXbEP5kr9i4YpNyJcnK27dfoAcWTMhX+6sOroVrjoovOHCFq6DKLzhwhbugzhpLdzownUgc3jDhc3wB1F4DT9E4WvgtZv30aL7aGyY5xok55gR3vDxNOpRloS3W/9xqFu9DHJl+xZzl25QEd6SvxVUXXjy7CVmLVyD3p2aYtbCtR8J7/2HT7Fp+99IkigBnr14hbLFf8b8FZvQp1NTuI6drY4z6kbh1TcyFF59rBnh1cuaEV79vHXVSOHVRVpjPW7TV2DdXwcwoEsj/PZzniA1U3g1DoSGqiwJ77R5q/BjnmzInSMLVq3fCZdYMVC2RGHVmnVb9uDY6X/hEtMZN2/dR+JECdC7U5MgK4vIfpLLK29TK1/yFwwbOwe9OjUx/1dDt8JVBYU3XNjCdRCFN1zYwn0QI7zhRheuAxnhDRc2wx9E4TX8ENm2gRRe2/L83KVZEt4XL19jwsyliBYtGnx9fdGjXWPs/PuIysetXeXDah2yWYrwyt/fuL/DjPlr0LVNfbXf4pVb4OXji0QJ4qFSmSKfu8sh1k/h1Tc0FF59rKUmCq9e3hRevbx11Ubh1UXaIPVQeA0yEDZqBpcl+w8khddGJ5UVxVB4rYBkw10ovDaEaUVRFF4rIEXBXSi8UXDQItJkt6neuHuPLymICEMjHZszZwBK/ObLF08AoPDqOzMpvPpYM8Krl7XURuHVz1xHjRReHZQNVMfNu75w9/QzUIvstykuzk7w9vWHn3/kvVzY0dEfCRPYL8Ow9IzCGxZaEduXwhsxfmE9mhHesBKL2P4U3ojxM+rRFF6jjkwktuvBc49ILJ1FmwgkjhcD7h4+8PLxJxQNBCi8GiD/vwoKrz7WjPDqZc0Ir37eumqk8OoibaB6KLx6BoPCq4ezqRYKrz7eFF59rCm8ellTePXz1lUjhVcXaQPVQ+HVMxgUXj2cKbx6OUttFF69zJnSoJc3Uxr08tZVG4VXF2kD1UPh1TMYFF49nCm8ejlTePXzpvDqZU7h1ctbV20UXl2kDVLPm5u38N7DxyCtse9mxIzhBB+ZtOYXeZPWAhP0jxULiJvIvqF+ondMadA39Izw6mMtNVF49fKm8Orlras2Cq8u0gap57lrDzjeuGiQ1rAZtiTg1bQP/L/Nacsio1RZFF59w0Xh1ceawquXtdRG4dXPXEeNFF4dlA1Ux4u+reF45ayBWsSm2IqAZ4eR8M+S21bFRblyKLz6hozCq481hVcvawqvft66aqTw6iJtkHoovAYZiEhohiXh3XfwBLbtOQxPLy9ULF0Evxb8wVzziTMXMWHmcqRJlVz9rXKZIsib63vz58vWblP/PyAgQL2SWP47cuICtG5aHXFjx4qEHkSsSApvxPiF5WgKb1hoRXxfpjREnGFYSmCENyy0os6+FN6oM1Y2aSmF1yYYDVlIcOH18PBEryGTMHpQJ/j6+OHqjTvI/n1Gc9v3HTqBx0+fo0bF3y32Z/CYWejXpRmGjZ2DXp2aYPXGXfg6fWrkyZ7FkP2n8OobFgqvPtZSE4VXL28Kr17eumqj8OoibZB6KLwGGYhIaEZw4b109RaWrvkLyZIkwvMXr1SEN2e2b801b96xH3sPnEDCBHHh6OCIZg2qIEmi+ObPTcLrOnY26lQtjd37j8HFJQbevH2HCqV+RcrkSSKhF+EvksIbfnZhPZLCG1ZiEdufwhsxfmE9msIbVmJRY38Kb9QYJ5u1ksJrM5SGKyi48J67eA0Llm/EyAEd8fbde3TtNxYzxvY1t1sk2NvHV4nr0ZPnsefAcfRo38j8+ZET5yBlZM6UHgePnEatyiWx+8BxVCz1C1Zu2IlWjaoZigGFV99wUHj1sWaEVy9rqY3Cq5+5jhoNK7xDxi1EDOfo6Na6VhAOxWt2wci+LZEn+3+RquCgzl++ia4Dp+KvJSNx5/5jPHvx+pP7WwK9YOU2XL15H4O7Nwny8eHjFzDQbb4q27T1GzkHL1+9xfjB7SDH3bjz8KPjwjuYIbUjvOVReMNLzvjHBRfe12/eYqjbHIwc0AE+Pr5o0314EOE9c/4KYsd2Qcav0+Li5RtYu2UP+nRq+lFHFyzfhEL5c8LB0REiwRIpnjl/NTq0qmsoKBRefcNB4dXHmsKrlzWFVz9vXTXapfD6+vnhrft7JIwfF/NXboO3tw+a1y0XJqbWCu/UBetx4Mg5zHbrjpgxnOHh6Q0/Pz/Eie0SpvpC2pnCaxOMX0Qhliatbdz2N46dvKAiuaWLF1ST1oa4zUKVcsUQN7YLxk9fitixYsLL21dNRvsqdYogrC5cuo4Ll6+rPF8/P39MmLkU0Zyc8FvhfMiaJYOhuFJ49Q0HhVcfawqvXtYUXv28ddUYpYW3QLnW6NyiOrb/fRz3HjxFlTKF0aJeeZgivAO6NkLn/pMRLZoTKpcujE4tqmPf4TMYO2MlfHx9kTZVUgzu3hRJEyeAl7cP+o6YhVPnriJFssT4/tt0Sl4/FeFd99cBzFm6BQsn9kH8eLHVmM1dttUc4Q2pfbLfzMWbsGzdbiRKGA/VyxfBjEUbsXP5mE+248qNexg4Zh5evHqrot8dmldF0YK5cenaHfQeNhOFf8yB42cuqxzLPzs3VNHm2/ceI1+uLOjXqYFqHyO8ur5a+uvhsmQuePTCA3pe86F/fI1UI4VX72gwh1cvb6Y06OWtq7YoLbwFK7RBjfJF0bF5NTx++hIla3fF4U1Tcf32fXNKg6RGJE+aUEV4JbWhXINeWDixNzJ9nQbzlv+Fk+evYMLg9li2fjc27zyMueN6wsPDC3VaD0aubJlCFN7+nRui36g5SnZTJvvv7VaBhTek9j14/Az12w7FhvmuiB83Ntr1nYBbdx+pNImQ2jGwa2NUbNQbrRpWRNliBXDt5n3UaTMY25aOUv2q0rQfFkzojdzZMqHb4KkQOV4xfYBaSqpwpXbYsmiEEnsKr66vlv56KLwUXl1nHYVXF+kP9VB49fKm8Orlrau2KC+8s8d0x3eZ0ileP5VrjZUzB+LVG3eLwrt+20Fs2fUPpo/sovZ/7+EJicKe2j4L3YdMQ47vM6Bh9ZLqM4kCSyTVUoS3Y/9JSJQgHt64v1PC+81XKc3jFVx4LbXv0LHzOHDsnBJt2bbsOoIJs1cr4e0ycIrFdoiwV23WD0e3TIODg4M6rnbrwWhepyzSpk6GRh2H4+D6ServUtarN+/w5/+juqXrdofbgDaK093Dp+Dn5a3r/Pqi63GUNWz//z8dILxiJcGzaKltWlW0aECaVAH4/yln07JtXRhTGmxNNOTyKLz6WFN49bKW2ii8+pnrqNGwwus6YREcHR3Rs22dIByKVO2oJofl/D4DJIK6bOqf+Cr1h4XzTf9+4/7eovCKjE6etxYJ4sc1l+n+zgObFgxDT9cZKnIqqQ+yzVm2BTfvPLIovCKla+YMxq79J7Fs3S4sn94fsVxiquOCC6+l9v215yjuPnhqLvvU+avo5TpTCW+zrqMstqNq2V/QdeAU7FzhZm57qx5uKF74B+TMmgF/9ByrUiJkmzx3Ld57eJkn/JWt3xMj+rZEtsxfY4ibN27d/iDM3EggNALp0wWgSUO/0HYzxOcUXn3DQOHVx5rCq5c1hVc/b101GlZ4Zy3ZjJPnrmDKsE5mFq/fvEOhim2xa4WbSlMIq/Bu3H4I2/cdw8ShHT7i23nAFOTKmgEN/h/hHTVlGUScQ1ulQY6TOJ5EUK0V3gNHz+PY6X8xdmBbdczW3UcwftaHCG9I7TBFeI9sngZHxw/CWqvVQLRsUAFpUial8Or6xnxh9VB4v7ABt7K7FF4rQdloN6Y02AiklcUwwmslqCi2m2GF9/6jZ6jUuC/6daqP33/Nh5ev3eE6fiH8/P3NEmyN8A6ftATO0aOhc8saKtdVylw8uS/SpUmOc5duYuP2g+jdvp6a4LXj7xOYM7YH3N+9Vzm8eXNmCVV43733RLXm/VGzQlE0qlnKqgjv67fv8UcPNxVZlmWhWvUYg/sPnynhDakdg7pJDm8ftKhfHuWK/6QmqjXpNAJbl4zEk2cvKbxR7IsXVZprSXinz1uNOw8eqy48evQU1SsWR6lihdS/fXz9MGDkdHP3rly7hXFDuyF1yqTqb0+fv8LiVVvU/5eXWSRLkhAnz13CzVv3UbV8sQhhYYQ3QvjCdDCFN0y4IrwzhTfCCMNUAIU3TLiizM6GFV4heOLsFYyetlzJXSyXGOrxfddWNRE3TiwF2BrhPXT8PDr0m4SiBXNhZL9W5lUaPL281XJMfTrUU2v0SgpAL9cZOH3hmpqE9mOe79WPs2uv5kEG09I6vJev30W9tkMxZVhHnL9007xKQ0jtkxQMiSBv3vUPUiZPjAq/F1Siu3XxyE+2w7RKw8vXb9USaF3/qImCebPh6s17FN4o85WLWg39VIRXvkOubrPRt0szODtH/6hjt+48wLqte9Gx5X9pSdt2H0KihPHhHD067j18rJZJmzx7Jbq3a2DOTQ8vIQpveMmF/TgKb9iZReQICm9E6IX9WApv2JlFhSMMLbxRAWB42+jvH2BOTTh66hLGTFuucoEje2MOb2QTtq/yPyW8c5duQK7smZE7W2aLnf5z2FR0bVMf8eLFMX++79AJAA6IHj0avDy9cf7SNeTLnRVnLlxB8qSJUalMkXADpPCGG12YD6TwhhlZhA6g8EYIX5gPpvCGGVmUOIDC+xmGSVZ/KFm7G5ZO6YeMX6dG3xGz1aS33u0j/81VFN7PMOBRuMqQhFfSfgaMmI7Rg/7LsQ/cTUlTOHbiAlo2qhqk97Le9eKVH1Ia0qRODidHR5w6dxltm9XE9Pmr0aRuRcSN/eEJTlg3Cm9YiYV/fwpv+NmF50gKb3iohf8YCm/42Rn5SArvZxqdFRv3qpdP+Pv5q5dcyAswEsT/LxIWWc2i8EYWWfssNyTh3fX3UTx/+Uq9gc3S5jZ1EcqUKIwsGT8sGRh8e/7iFRau3KLSHYaPm4seHRop4a1RsYRKeQjPRuEND7XwHUPhDR+38B5F4Q0vufAdR+ENHzejH0XhNfoI2bh9FF4bA7Xz4kIS3hkL1iBr5gwo9GNOReDO/UeYOmclhvVrp/7dtvtwDOvfPsRo7Zgpi9C8fmXEixsbh46dxdkLV+Dv74/WTWqEmyiFN9zownwghTfMyCJ0AIU3QvjCfDCFN8zIosQBFN4oMUy2aySF13Ysv4SSuCzZlzDKYe8jhTfszCJyBIU3IvTCfiyFN+zMosIRFN6oMEo2bKPbVG/cvccXT9gQqV0XlTZNAGrV4Isn7HqQw9E5Cm84oEXgEApvBOCF41AKbzigRYFDKLxRYJBs2cSbd33h7hk1BMaW/f4cZbk4O8Hb1x9+/vKC4ai5ySuFEyXwQ1R4tzBTGvSdYxRefaylJgqvXt4UXr28ddVG4dVF2kD1PHjuYaDW2G9TEseLAXcPH3j5+NtvJw3UMwqvvsGg8OpjTeHVy1pqo/DqZ66jRgqvDsoGq4PCq2dAKLx6OJtqofDq403h1ceawquXNYVXP29dNVJ4dZE2UD0UXj2DQeHVw5nCq5ez1Ebh1cucKQ16eTPCq5e3rtoovLpIG6geCq+ewaDw6uFM4dXLmcKrnzeFVy9zCq9e3rpqsyi8+4+cxU95syKak5OudrAeTQTe3LyF9x4+mmqLOtUERI+OgETJbdpgCq9NcYZaGFMaQkVksx0Y4bUZSqsKovBahclmO1F4bYbSUAVZFN68pVrAJWYMlP6tACqULIhsmb82VKPZmPATeO7aA443Loa/ADs90rt4NfgWr2HTxQgovHpPFgqvPt4UXn2spSYKr17eFF69vHXVZlF4Pb28ceDoOezYdxx7D59GkkTxUb5EQZQr8RPSpEyqq22sJxIIvOjbGo5XzkZCyVG7SO9yDeBTpj6FNwoPI4VX3+BRePWxpvDqZS21UXj1M9dRY6g5vD4+vjh0/AJ2/H0c2/cdQ+YMaVGlzC8oW6wAnJ2j62gj67AhAQqvZZiWhHfxyi04f+k6HJ2ckDRxAnRsWcd8cEBAAMZNX4JXr97Ay9sXTetWQKYM6cyfHzt1AVeuXsfLN+/RpmlNODg4YNHKzcibKyuyZEpvwxFlUSYCFF595wKFVx9rCq9e1hRe/bx11Riq8D56+gJbdx3Btn3HcPn6XfxaICfuPniCN+7vMWFwO3yX6b8feV2NZj3hJ0DhtV54/zl2FgXy5YCPrx9adh6CGWP7mvPaz/97DVt3HUK3tg3w8tUbjJgwH8P/bGcuXP49pHtjTF+0Eb8UzAf3d+9x4sy/qFutdPgHj0d+kgCFV98JQuHVx5rCq5c1hVc/b101WhRe93ceKpq7ccchHDt9GVm/TY9KpX9GmWIFED9ubNW2KfPWYcvuI9i0YJiutrIeGxCg8FovvLLnqvU7sWHbPlSrUBwVSv1qPvjq9dtYuGILBvX6A4+ePEenPqOwdOZw8+cTZixFx+ZVMWPhRpQu8QsWrtiEfHmy4tbtB8iRNRPy5c5qg9FkEYEJUHj1nQ8UXn2sKbz/Y+8swKrKvj78AwQVu3vsGUfH7u7ubkdFUMHCwAC7FcFCFEVBRFDsLmzsGHPUMbC7kJL8nr39uH+Qi3BreS+u8zzzONx79l77vPug7113nb1pWbPw0vOmiqhUeCs2s5RiK+p2hegWL5w/0Xg+fwlBg86jcPXQaqqxchwtEGDhVU14xdlfIyJhN20xHMZYytKGuMNn2wHcf/gExYsWQsD5f+CyYKLivecv38L/RACyZM6MV28/onWTOvDcvAf2thaY4+yOSbYWWphN7oKF9+fcAyy8tNz5oTVa3lzDS8ubKloi4Y2JiYXvzqPo1LIu0qUz++E4QsO+wjx9Wqqx6nUcUdPpufkgNu8+hhev3iFb1kxoWq8qRll2IWG03u8g/nv0HDPtBv6QEwtvyoRXPLg522kNZkwYKutvJ8xYBhuLrihUIK/sQLx/6859VC5fGg8ePcXGbQcweYxlgs7FKg3+Af/g6Yu3aNu8HuY6r8VE24GKP/X6hjbAwXGGl27SWHjpWItILLy0vFl4aXlTRUskvELcKjW3wn7v+cibKzvVOAw+juPKTXJVi+ljB6Bc6WIyq7fAZaOs/3RfZKfz62Ph1QyxsofWtu05igtXbsHExAi/FciHwf07Y/fBk7Iet2enFrJuNyQkFNExMbCx6Ib8eROuYJLGKAoLV/jAdmhfOTjxENzXyChkz5oZHVo10GzA3DoRARZeupuChZeONQsvLWsRjYWXnjlFRKUlDe4++/Ds5VtY9W6DfHlyUIzDoGO8/xiExl1tscHFIcGaxSGh4dhz+Aw6ta6PNCbGmO/ig6OnryAmNhbVKpTCDLuB8iGoGm2sMdqqKw6dvIRnL96iU6u6sOrTVjLZeTAAq7x2ISoqWs7FPPvByJc7u/ya3WH+Gly98R/y5s6B0r8XRlh4hMzw3rjzCDOcPBH0JQRpzUxhP6ovqlf8U/bHGV7ltxovS2bQv4Jy8Cy8dHPIwkvHmoWXljULLz1vqohKhbdFLzt8CgrGl+BQKWSmpgl3XLt0wI1qfAYR52jAVcxd5o3Dvo5JjvfYmatwXuUHv9XTYQSg+5DpsOzdFq0aV0etdjbo1rahLH94/fYjmvcci7N7XBEREYkGXUZhl8dsFMqfG9McPeQ6sVPH9JdlJ3uPnMW6xRMQFvYVvaxnosJfJaXwdrGcir5dmqF989rY639OPmC41+vbA1UsvCy8BvFLpcYgWXjVgKZmExZeNcGp2YxLGtQEp2YzzvCqCU7PmykVXiFwpmmE5Ao1S3zUrV5Wzy+LdngiC+uzwx++rlOSDCxKRcLCRc1zOnmOkNf8eXPITK4QXlH2ELfEW8021lKMxSYfIkucwfxbGyGv2/efwhrHcRgzfQXKlS6Ov7s2l+85u/nhw6cvUnhFfalpmjQwMTHG2/ef0KTbGFzzd5fnPT17FdFfI2gBGUC0GDNzfMxSEnnzxsAoifte1cvgndZUJabZ+Sy8mvFTpTULryq0ND+XhVdzhqr0wMKrCi3DOVep8I6fvQrz7Qcnugqx9q793NVYNnuk4VwhwUhPnruGqY7rcGzL4iSjCRl1dPXFw8cvINK04sG2Xh2bYEi/dlJ4hSws1mtCAAAgAElEQVT/ViCPbB/3c8F8ueHisR0BF27I1z9/CUX+PDng7mSHQWMXys0/OrasK99b67sPj568ksK7z/88fHYckfXD0dExuHP/MW4cXSfPm+UUgcDHyj/IEKDS6xAN6segYb0Yre22xsJLO90svHS8WXjpWItILLy0vFl4aXlTRUsgvIFPX0H8ZzvNBc7TbBKNIfDZKyxz34bLB7mkIT4c8UGgbvvhWO04DtUqllK8Jeps5y3zxjjrnljg4oOIyEjMtLOQmdfJC9aiQN6cPxReUYvrtmE3vJbZI3NGc+w+dAY7DpyWwjt62gpUKFMc/f4/w7twha/cDGTYgI5o0dsOW1ZPl8vJiY1DmnYfw8Kbgt8oFt4UQNLjU1h46SaHhZeONQsvLWsRjYWXnjlFxATCKzKVq7x2459b95ExQ/pE8dOlNUPXNg0wbGBHirEZVIxla7dhy54TcpWGqhVKyVKCecu9kdbMDEtmDseoKctRoUwJ9O/eAnfuP8EIh6Vo0bAaRg/ulmSG99T5Gwi4eAMr5tpCrHs8eqoLQsLCZTZYrMpw+ORlrHUeL1cNEDW8VcqXQr+uzdB/1Dwc83OGiYkJnFf7YZ3vfvkhRcwfZ3iTvq2UCa8m2wvfvXsPZy7dRlBIGEZY9uDthXX8G83Cq2PA8bpn4aVjzcJLy5qFl543VUSlJQ0DbOdhnfMEqjGkmjgbt/vDd4c/nr58i+xZMqFts1qw6d8BpqZpcPXmf5g4Z7WsjS77ZzE0rlMZ9vPXYO4kS9jPW6O0pCFjBnNYT3TG56AQ5M2dDbaWXTHcYaksYxC1vxPnuMkPJ2LVhuqVSkvJnjPRUsa5eO2O3DxknHUPuKzbgZiYGHi7OLDw/uBuUya8mmwvvMTVC6OG9ML6zfvRsG413l5Yx7/pLLw6BszCSwf4u0hc0kCLnjO8tLypoikVXhFcPGQlltsSX8t/f4iv4vkwTAKc4VUtwyvOVnd7YTePzejbvTU8N+1H2+b1eXthHf/KsPDqGDALLx1gFt6fxpozvD8VvU6DKxXeA8cuYPoiD1kTquy4ddxDp4PiznVHgIVXdeEVLdTZXjj0y2ds3OmPbFmy4N2HT7y9sO5ua9kzC6+OAbPw0gFm4f1prFl4fyp6nQZXKrxNuo2GRa/WqFOtrPw6/vuDd2DT6ZzotHMW3pQLr6bbC8et0nD6wg28evOetxfW6Z3NwqtjvAm65xpeStq8SgMtbX5ojZo3VTylwtuytx32ey+gGgPHISTAwpty4RVnarK9sBDeF28+YZn7Foy14e2FdX2bc4ZX14T/1z8LLx1rEYlreGl5cw0vLW+qaEqF12bSYthZ90Thgt/WheUj9RBg4VVNeDWZeV6HVxN6qrdl4VWdmbotWHjVJadeOxZe9bip24qFV11y+t1OqfCKJa+8th5Gg5rlkS9PjkQ7Tw3o0VK/r4pHlyQBJ9cIPH3GG08oA1SjRizq1IzmjScM9PeHhZdu4lh46VhzhpeWtYjGwkvPnCKiUuHtNngajI2Nk4z/oy10KQbNMdQn8OhpFILDo9XvIBW3NDaJRbbMsUntqK3ylXOGV2VkGjVg4dUIn0qNWXhVwqXxyZzh1RihSh2w8KqEy2BOTnJZMoO5Ah6oygRevA9TuQ03UJ0AC6/qzDRpwcKrCT3V2rLwqsZL07NZeDUlqFp7Fl7VeBnK2UqF1//UlSTHHxUdjeYNqhrK9fE4lRBg4aW5LVh4aTjHRWHhpePNwkvHWkRi4aXlzcJLy5sqmlLhrdXOJkH82JhYuSav2Jo2f54c2L1+LtX4OI4OCLDw6gCqki5ZeGk4s/DSchbRWHhpmbPw0vJm4aXlTRUtxSUNoWHhcPXchaK/5UWnVvWoxsdxdECAhVcHUFl4aaD+IApneOmmgIWXjjVneGlZi2gsvPTMKSKmWHjjBtNhgAN2rJtFMTaOoQMCQY8CERqWeLtoHYTSWZexxsaIzZkPWltOQUcj5QyvjsAm0S0LLx1vFl461iy8tKxZeOl5U0VUSXhDw75CbEpxYtsSqvFxHC0TeD9nPIwf3tZyr7TdxRQrja9WUwCjpFcSoR2R8mgsvLSzwMJLx5uFl441Cy8taxZeet5UEZUK7/hZqxLFj4yKwo07j1CqxG9YNmsE1fg4jpYJfHCwhvG961rulba7mN/LIXzUQhZeWux6H42Fl26KWHjpWLPw0rJm4aXnTRVRqfBOX+SRKH7atGYoWigv2jarDfP0aanGx3G0TCC1Cu+9+4/hvnEn0qczQ0x0LCbZWiBdOjNJLzIqGtMW/O9D3L37gVg8exwK5Msl33/7/hO8t+yT/9+rc0vkzpkNV27cwaPA5+jctrHaM8AZXrXRqdWQhVctbGo1YuFVC5vajfihNbXRqdWQa3jVwqb3jVQqadD7q+EBJksgtQrv7oMnUbn8n8ifNxeWr/FFzarlULl86UQ8Ap+8wI79xzFqcC/FewePnkH2bFlgZmqKZy9fo36tynBx94Pd8H4wMlJ/VzoW3mRvR62ewMKrVZw/7IyFl461iMTCS8ubhZeWN1W0JIX35t1H2H/0PJ6/fCfH8luB3GjXrDZKFC1ANTaOowMCqVV441CJ1USmznPF5LFWyJwpQyKCU+a6YqxNX2TOnFHx3okzlyG2VzM1TYOv4RG4eec+qlYsg2u37iFPrhzo0KqBWjPBwqsWNrUbsfCqjU7lhiy8KiPTqAELr0b4VG7MwqsyMoNooFR4j56+gpFTlqFsqWIoVCC3vJDAJ69w5/4TrHYch2oVSxnExfEgExNIzcL75PkrrPXegQE926FwofyJLl6UKVy8fAuD+3dO8N7XiEh4+30raShYIA9MjI1x9cZdDBvUHas8t2Jg7/bIlMFc5duJhVdlZBo1YOHVCJ9KjVl4VcKl8cksvBojVKkDFl6VcBnMyUqFt5PFZAzu2y7Rjmo7DwbAZ/sR+K6cajAX+LMGevbSLQwauxDGxgm/Eu/WtiEm2/b7WcNCahXeR0+eY73vHoyx6YuMScipk+sGtGpaF6VKFFbK//2HT/Dy2yfLHeYtXofxI/tL4e3WvqkseVD1YOFVlZhm57PwasZPldYsvKrQ0vxcFl7NGarSAwuvKrQM51ylwlu15WCc2b0CpmlMElxJREQkarcfhov7E6/iYDiXTDNSIbzTnTxxYOOCHwaMjo6BiQnd8lqpVXgnzFiGiMgIRSa2VdM6yJc3F1zX+mHu5OFyDobZzcPcqSOSzNYuWrEBln07ylKIMxev4/qte4iJiYH1wG5q3TQsvGphU7sRC6/a6FRuyMKrMjKNGrDwaoRP5cYsvCojM4gGSoW3dd8JmGlngUplSya4iKs3/8OY6Stw1M/ZIC7uZw7yR8J7+14gHOa7o2TRgnj97iM8Fk+AyJ6v8tqFqKho5MuTA/PsByNf7uzw2nIIdx88hfiw8eTFGwhBXjJjGPLnzYn7j55j8sK1ePXmPQrmy425kyxRMF8uBD59hamO6/Duw2eYp0+HSSN6o+Jf3+YytQrvz5zrpGKz8NLOCgsvHW8WXjrWIhILLy1vFl5a3lTRlArvxu3+WOa+VS5BJrYSjo0FAp++xK5DZzC4T1sM6NGSanwGG+dHwnvv4TP0sp4hP1S0bFQdn4NC0KDLKOzymI1C+XNjmqOH3ERs6pj+8N52BC4e27HLYw5yZs8CsWRclswZMXJQZ3QcOBnDBnZEk7qV4e6zD+ev3IbbwrHoPGgKenRohK5tGsi1k4fbL8FhX0f5UBYLL90txcJLx1pEYuGl483CS8eahZeWtYjGwkvPnCJikqs0HDx+Edv2ncTTF2/kOH4rkAfd2jZAozqVKMZl8DGE8FrZOSJblkwJrsW6fwdULvc7ug+ejksH3BQ1viGh4chgnk6eu9f/HLbvP4U1juOk8Iq+ls8ZKd/bsPUwbt0NxPCBHdHRYjLO73WVr4u1ZiMjI6U8t/17Ii7sW6Xou9vgaRg3tAeqViiFp2evIvprhEHzNTIzRVj+0sicKVavr4OFl3Z6WHjpeLPw0rFm4aVlzcJLz5sqYorX4Y2NjdVoTVKqC9KXOEJSpziug8+KyQmGlME8PZ69fAPLsY44vnWxfC8mJlZmcQMu3JA/f/4Sivx5csDdyU4K7/XbDzDfYbB8L+7nPl2awXbKMhzZ7JSgf7GcXM+hM5AnV3bF62HhXzHF9m/5EOIspwgEPlZ/bVl94JsxI9C3dwzy5YnRh+EkOQYWXtrpYeGl483CS8eahZeWNQsvPW+qiImEd8ueE3j09KXMCMYdUdHR6GU9EwN7tEKLhtWoxmbQcX5U0vDfo2ewGueIY1u+Ca/I6Lpt2A2vZfbInNEcuw+dwY4Dp38ovKKkof0Ae5zfu1JmciMjo/D05Vu5C177/uL1b5nf7w8WXrrbioWXjrWIxMJLx5uFl441Cy8taxZeet5UERMIr/+pK7CdthzjbXqhd6cmCcbgs8Mf85dvxJpFdqhS/g+q8RlsHFWEV2RtAy7ewIq5tvj8JQSjp7ogJCwcvq5TkszwzrO3QvsBDhjQvQU6tqwrH247df66rOHtYjlV1lm3blwDHz59wdxlGzB97AD5AFtqFd6g4BAsWr4eJiYm+BIcgmGWPVC4YD7F/bPKYyuevHgtf3716i26tm+CFo1ry5/FtxfLVvvK5czKlCqG6pXL4uOnIKzduAtjrPuofQ+y8KqNTq2GLLxqYVOrEQuvWtjUbsQPramNTq2GXMOrFja9b5RAePsOnyNXZrC16qp04I4rN+G/h8+wasEYvb+wnz1AVYRXSKn1RGdZf5s3dzbYWnbFcIelUmRz5ciqtKRBlDiIh9+mLHDHi9fvUbhg3gSrNExb5IFXbz7IMpT+3Zqje/tGEklqFd5rN+9BlG7UqFIWJ89exf2HT+SGEd8f4V8jMMfJHQ5jBsHMzFS+/fL1O+w7fBoDerXHwuWeGD+iP8SavWIDi2xZM6t9K7Hwqo1OrYYsvGphU6sRC69a2NRuxMKrNjq1GrLwqoVN7xslEN7qrYfKDG7ZUkWVDvzGvw8x2G4Rzux20fsL4wEqJ5BahTfuakW21tHFCy0a1ULZ0iUSQVjnswsVyv6Bin/971sKkc313rJPCu9qr+34o3hhpDE1QeDjl3KN5D5dWynkWJX7ioVXFVqan8vCqznDlPbAwptSUto5j4VXOxxT2gsLb0pJGdZ5CYS3YjNLbFo5Fb8XK6j0KsTWwn2Hz+aNJwxrjhOMNjULb3BIKFas9UOtauVRp3qFRLMk3p82fxUcZ9gmem/73mN48+4DKpUrhUv/3EaRQvnlg3+fgoKRPn1a1KxSTuVZZ+FVGZlGDVh4NcKnUmMWXpVwaXwyC6/GCFXqgIVXJVwGc3IC4e0wwAFd2zZIVL8bdzVrNu6FWK7Mz22awVwgDzQhgdQqvGFh4Zjt7C53SitcKL/Safc/eQHvP35Ct/bNlL4vVstYuHw9Rlh2x8FjZ/F7iSL4HPQF4WERaFi3isq3Eguvysg0asDCqxE+lRqz8KqES+OTWXg1RqhSByy8KuEymJMTCK+n30G529eyWSPlWrHxj6MBV2E30xV2Nr3kerx8GCaB1Cq8PtsOwP/EBRTIl0tOTOlSxdG9QzP0HmIP75Wz5Wtu67ehzB/FUbt6eaWT57fzMP78vRj++rO43L1u49b9csk4q36d5HbDqh4svKoS0+x8Fl7N+KnSmoVXFVqan8vCqzlDVXpg4VWFluGcm0B4xba142auxMHjF+TDayWKFEB0TAz+/e8JxHa44iGqmXYDeT1ew5nfRCNNrcKrj1PCwks7Kyy8dLxZeOlYi0gsvLS8WXhpeVNFU7rxxImz13D45CW5y1qaNCb4LX9uNG9YDTUqlaYaF8fREQEn1wg8fWbYG09kyAB06hiDvLl54wkd3SYG2S0LL920sfDSsWbhpWUtorHw0jOniJjindYoBsMxdE/g0dMoBIdH6z6QDiMIXTfPEIt0aXlrYR1iNriuWXjppoyFl441Cy8taxZeet5UEVl4qUjrUZwX78P0aDSpdyhc0kA7tyy8dLxZeOlYs/DSsmbhpedNFZGFl4q0HsVh4aWZDBZeGs5xUVh46Xiz8NKxZuGlZc3CS8+bKiILLxVpPYrDwkszGSy8NJxZeGk5i2gsvLTM+aE1Wt5cw0vLmyoaCy8VaT2Kw8JLMxksvDScWXhpObPw0vNm4aVlzsJLy5sqGgsvFWk9iRP0KBChYZF6MprEw4hJZw5kya6341NlYCy8qtDS/FwuadCcYUp74AxvSklp5zwWXu1wTGkvLLwpJWVY57HwGtZ8aTza93PGw/jhbY370VUHET1GIKpibRjBsJdOE3xYeHV1lyjvl4WXjjcLLx1rEYmFl5Y3Cy8tb6poLLxUpPUkzgcHaxjfu64no0k8jK8W9oiqUp+FV29nSH8HxsJLNzcsvHSsWXhpWYtoLLz0zCkisvBSUNajGIYovIeOnYX/qYswMTZG8SIFYdGng4JoUHAIFi1fDxMTE3wJDsEwyx4oXDCf4n3f7Qfl/8fGxqJnpxbyzwXL1sPaoisyZTDX6cxwhleneBN1zsJLx5uFl441Cy8taxZeet5UEVl4qUjrSRxDFN613jvRr0cbpDExgZXtLCyfPx5mZqaS6LWb9xAW/hU1qpTFybNXcf/hEwzs3V5Be+aiNZg8ZhDmOq/FRNuB2LrbH0WLFEClsqV0PiMsvDpHnCAACy8dbxZeOtYsvLSsWXjpeVNFZOGlIq0ncQxReOPQBT55AXfvHZg50ToRTZG5dXTxQotGtVC2dIlEwjvH2R29OrfE0VMXkT59WgR9CUG7FvWRL09Onc0MC6/O0CrtmIWXjjcLLx1rFl5a1iy89LypIrLwUpHWkziGKrxnLl7HyYDLGGbZHRm/K0UIDgnFirV+qFWtPOpUr5CA9PnLN3Dj9n38UbIIAs7/gx4dm+Po6Uto36Ie/HYdwZD+XXQ2Myy8OkPLwkuLNlE0Fl7aCeCH1mh5cw0vLW+qaCy8VKTjxYmKjkb5xhYwNU0DIyMjpDUzxV+limLyqH4oXDCPVka0znc/Hj55iZl2A1G99VDs9JiNvLmywxCF9/CJc3gY+BxW/TpJXvGPsLBwzHZ2h2XfjihcKH+S7NZv2oPa1crDyNgYQoLbt2yA1Z5bMXJIb63wVtYJC6/O0LLw0qJl4f3JvFl4aSeAhZeWN1U0Fl4q0kqE19/PSUpoWHgE5i/fiBev38Ft4dgEI4qOjoGJibHKoxR9RkdHI2OG9AYtvOLDQZf+41CudEnEua6NRXe4eW1DpzaNce3mXfifuIAC+XJJRqVLFUf3Ds0S8Lp15wFu3X2Abu2bQfBcutpH1gM3qlsVZUoVV5ltShuw8KaUlHbO45IG7XBMSS+c4U0JJe2dw8KrPZYp6YmFNyWUDO8cFt6fMGdxGd444RVDCLh4E7OXeGHfhvm4fS8QDvPdUbJoQbx+9xEeiydg58EArPLahaioaOTLkwPz7AcjX+7sWOG5E9v2nZRXERERifcfg3D10Gp4bzuSajK8P2GKtBKShVcrGFPcCQtvilFpfCILr8YIVeqAhVclXBqfzMKrMUK97ICF9ydMy/fCGxoWjumLPJEzRxaMG9oD9x4+Qy/rGZhpZ4GWjarjc1AIGnQZhV0es1Eof25Mc/SQ2c6pY/onGP34Watgnj6tfD01lTT8hCnSSkgWXq1gTHEnLLwpRqXxiSy8GiNUqQMWXpVwaXwyC6/GCPWyAxbenzAtccKbwTydrEkVwlukYF4smz0SRQrlxX+PnqH74Om4dMANxsbfalZDQsMhzhfHXv9z2L7/FNY4jlOM/sipy5jv4oOd62bBPH26JIX36dmriP4a8ROuOvmQ4krTZMsMFCiiKF9IvpX+nsHCSzs3LLx0vFl46ViLSCy8tLxZeGl5U0Vj4aUiHS/O9xleUVd69vItTJzjhq1rZuLzl2BYjnXE8a2LZauYmFi4eGxHwIUb8ufPX0KRP08OuDvZyZ8/fv6CDgMcsHDyUFSr+G192aQyvLOcIhD4WD+37c2XF+jXNxoZ0sf+hFnRfkgWXu0z/VGPLLx0vFl46Viz8NKyFtFYeOmZU0Rk4aWg/F0MZTW84pROFpMxuG87FCucD1bjHHFsyzfhFRldtw274bXMHpkzmmP3oTPYceC0Qnhtpy5HrhzZMGnE/1YcYOH9CRP7XUgWXto5YOGl483CS8eahZeWNQsvPW+qiCy8VKTjxfleeEUG98I//2LYpMXwc5sO8X584RUPoAVcvIEVc23x+UsIRk91QUhYOHxdp2Cf/3ksW7sN29xnIn06M0WU1CK8yW0d/KNth9++/wTvLfskE7HpRO6c2XDlxh08CnyOzm0b63zmWXh1jjhBABZeOt4svHSsWXhpWbPw0vOmisjCS0VaifCKdXjFYWJsjIL5c8H67/Zo3qCarOGNL7wfPn2B9URn+fBa3tzZYGvZFcMdlqJjy7q4fP0e7tx/gowZvtX3isNzyST4n7qsdJUGQytpSG7r4B9tO3zw6Blkz5YFZqamePbyNerXqgwXdz/YDe+XaD1fXdwGLLy6oJp0nyy8dLxZeOlYs/DSsmbhpedNFZGFl4q0nsQxNOGNw5bU1sFx7yvbdvjEmcsAjOQGH1/DI3Dzzn1UrVgG127dQ55cOdChVQOdzgoLr07xJuqchZeONwsvHWsWXlrWLLz0vKkisvBSkdaTOIYovD/aOlhgTWrb4a8RkfD2+1bSULBAHplJv3rjLoYN6o5VnlsxsHd7ZPpum2JtThMLrzZpJt8XC2/yjLR1BguvtkimrB9epSFlnLR1Fj+0pi2S+tUPC69+zYfOR2Nowpvc1sE/2nY4Dub7D5/g5bcPowb3wrzF6zB+ZH8pvN3aN5UlD7o6WHh1RVZ5vyy8dLxZeOlYc4aXljVneOl5U0Vk4aUirSdxDE14fbYdSLR1cM2q5eC61g8zJ1kr3XY4d67sCWgvWrEBln07InOmDDIbfP3WPcTExMB6YDedzgoLr07xJuqchZeONwsvHWsWXlrWLLz0vKkisvBSkdaTOIYmvHqCTa1hsPCqhU3tRiy8aqNTuSELr8rINGrAJQ0a4VO5MZc0qIzMIBqw8BrENGlvkE6uEXj6TD83nsiTG+jcmTee0N5s/1o9sfDSzTcLLx1rzvDSsuYMLz1vqogsvFSk9STOo6dRCA6P1pPRJByG0PBs2aJJlgyjAMAZXgrK/4vBwkvHm4WXjjULLy1rFl563lQRWXipSOtRnBfvw/RoNKl3KCy8tHPLwkvHm4WXjjULLy1rFl563lQRWXipSOtRHBZemslg4aXhHBeFhZeONwsvHWsWXlrWLLz0vKkisvBSkdajOCy8NJPBwkvDmYWXlrOIxsJLy5wfWqPlzQ+t0fKmisbCS0Vaj+Kw8NJMBgsvDWcWXlrOLLz0vFl4aZmz8NLyporGwktFWk/iBD0KRGhYpJ6M5rthGBkhJnMOIF06/RyfiqNi4VURmIanc0mDhgBVaM4ZXhVgaeFUFl4tQFShCxZeFWAZ0KksvAY0WdoY6vs542H88LY2utJ6HzE58yNiwATE5syr9b5/RocsvLTUWXjpeLPw0rEWkVh4aXmz8NLyporGwktFWk/ifHCwhvG963oymoTDiMlTCF+HzUZsznx6OT5VB8XCqyoxzc5n4dWMnyqtWXhVoaX5uSy8mjNUpQcWXlVoGc65LLyGM1daGamhCW9QcAgWLV8PExMTfAkOwTDLHihc8H9CfO/+Y7hv3In06cwQEx2LSbYWSJfOTLKKjY3FstW+yJjBHGVKFUP1ymXx8VMQ1m7chTHWfbTC80edsPDqHHGCACy8dLxZeOlYc4aXlrWIxsJLz5wiIgsvBWU9imFownvt5j2EhX9FjSplcfLsVdx/+AQDe7dXEN198CQql/8T+fPmwvI1vqhZtRwqly8t33/5+h32HT6NAb3aY+FyT4wf0R9OrhswoGc7ZMuaWeezwsKrc8QsvLSIFdFYeGnBc4aXljcLLy1vqmgsvFSk9SSOoQlvHDaRrXV08UKLRrVQtnSJRDRDw8IxdZ4rJo+1QuZMGeT7IpvrvWWfFN7VXtvxR/HCSGNqgsDHL2FiYow+XVvBzMxUZzPDwqsztEo75gwvHW8WXjrWnOGlZc0ZXnreVBFZeKlI60kcQxTe4JBQrFjrh1rVyqNO9QqJSD55/gprvXfIzG3hQvkTvL997zG8efcBlcqVwqV/bqNIofzIkys7PgUFI336tKhZpZzOZoaFV2doWXhp0SaKxsJLOwGc4aXlzRleWt5U0Vh4dUT67KVbGDR2IUxN08gIZqZpUL50CUy27YvfCuT5YdTqrYdip8ds5M2VXSuji9+foQlvWFg4Zju7w7Jvx0QyK+A8evIc6333YIxNX1mrq+yIiYnFwuXrMcKyOw4eO4vfSxTB56AvCA+LQMO6VbTCWFknLLw6Q8vCS4uWhfcn82bhpZ0AFl5a3lTRWHh1RFoI73QnTxzYuEBGCAuPwFL3rbhy/R42rZrKwquEgLJVGny2HYD/iQsokC+XbFG6VHF079AMvYfYw3vlbEyYsQwRkRHI9P+y26ppHflwWvzDb+dh/Pl7Mfz1Z3G8evMeG7fuh5Bgq36dFOUPurgNWHh1QTXpPrmkgY43Z3jpWItILLy0vFl4aXlTRWPh1RHp74VXhAkKDkXNNtY4v9cV5unTYdnabTh4/IIcQdlSxTDZth8yZkiP+BnZnQcDsMprF6KiopEvTw7Msx+MfLmzw2vLIdx98BQREZF48uINoqNjsGTGMOTPmxOnL9zA7CVeMDY2RpumNeG5+SB2rJslM8aGluHV0fSQdMvCS4JZEYSFl443Cy8daxZeWtYiGgsvPXOKiCy8OqKsTHg/fQ5G7fbDcHH/Khw/8w/cffbCa5m9XK6Pf4oAACAASURBVFJr/KxVsrZ0zJBuCuFNnzYtGnQZhV0es1Eof25Mc/SAkREwdUx/eG87AheP7djlMQc5s2fB9EUeyJI5I4YP7ITG3UZj1ngL1KlWFr47j2LWYi8c2byIhVdHc51Utyy8tMBZeOl4s/DSsWbhpWXNwkvPmyoiC6+OSH8vvGIVgcWrt+C/R8+wznkCxs9ehVLFf8OAHi3lCERW1tnND1vXzEiQ4Q0JDUcG829b7e71P4ft+09hjeM4KbwixvI5I+V7G7Yexq27gbDs0wY9h86QWWRxfI2IRKVmlvD3c5LC+/TsVUR/jdDRVavXrbERYGYWC5ikQWy+gog1z6JeR3rWioWXdkJYeOl4s/DSsWbhpWXNwkvPmyoiC6+OSH//0FpaM1NULvc7Jtv+LUsSLMc6olXj6ujYsq4cwY07jzDCYQmObVmsEN7cObLJLG7AhRvynM9fQpE/Tw64O9lJ4b1++wHmOwyW78X93KNDI4ybuRJHNi1SXFnl5lbYu2GeFN5ZThEIfGyko6tWr9sWzWJQs0YM9GtU6l1L/FYsvJozVKUHFl5VaGl2LguvZvxUbc01vKoS0+x8LmnQjJ++tmbh1dHMKCtpiB9KZHh/L1YIFj1byZdPnb+OJWu2Ysvq6QrhvXz9Htw27JZlD5kzmmP3oTPYceD0D4XXqm9b9LKeqcjwisxy1ZZDFBleFl4dTbiSbll46ViLSCy8dLxZeOlYi0gsvLS8WXhpeVNFY+HVEenkhPfAsQtY7b0HG5Y7QGR/x0x3QbHC+WUNbtxDa/6nriDg4g2smGuLz19CMHqqC0LCwuHrOiXJDO+sCYPQsPMozJ1khbrVy2Kd7344uW3G4U3fangNRXgPHTsL/1MXYWJsjOJFCsKiT4cEM3X1+h2s9NyK9i3qQ6zMEP+4ePUWxA5tgtUIyx4wMjLCBr+9qFKhDEqVLKKjGU/cLQsvGWoZiIWXjjcLLx1rFl5a1iIaCy89c4qILLw6opyc8IplseJWaYiNBaqU/wMTh/eGefq0CuE1MzWF9URnfA4KQd7c2WBr2RXDHZbKMohcObIqLWkQJQ5HT1/B3OUbIXYn69K6vnxwzdvFAQXy5jQY4V3rvRP9erRBGhMTWNnOwvL54xPsinbs1CV8CvoiPyx8L7zzl3rCdkgvbNp+EA3rVoPYuOLytX/Ru8u3emmqg4WXivS3OCy8dLxZeOlYs/DSsmbhpedNFZGFl4q0nsQxlAxvHK7AJy/g7r0DMydaJyK4Y99xuaHH98K71M0Hf/doA59tB9G2eX14bd6DqpXKIPDxC5QrUxJVK5YhmQ0WXhLMiiAsvHS8WXjpWLPw0rJm4aXnTRWRhZeKtJ7EMSThPXPxOk4GXMYwy+5Kd1FLSnifv3yLPYdOImf2rHj34RNaN6kDz817YG9rgTnO7phka0EyGyy8JJhZeGkxy2gsvLTQuYaXljeXNNDyporGwktFWk/iGIrwHj5xDg8Dn8vd0EQNrrIjKeGNO1fU8oqd1do2r4e5zmsx0Xag4k+K6WDhpaD8vxic4aXjzcJLx5ozvLSsOcNLz5sqIgsvFWk9iWMIwhsVHY0u/cehXOmScqMNcdhYdMf5KzdlPW6nNo0xx2mNlFkjY2MULpBXymz8Iyg4BG6e2zDWpq982dtvH75GRiF71szo0KoByWyw8JJgVgRh4aXjzcJLx5qFl5Y1Cy89b6qILLxUpPUkjiEIr56g0ngYLLwaI1SpAxZelXBpdDILr0b4VG7MJQ0qI9OoAZc0aIRPbxuz8Ort1OhmYE6uEXj6TL+2eKhfLwZVq/DGE7qZ8V+nVxZeurlm4aVjzRleWtac4aXnTRWRhZeKtJ7EefQ0CsHh0Xoymm/DME0DZMoUoyhf0KvBaTAYzvBqAE+Npiy8akBTswkLr5rg1GzGGV41wanZjDO8aoLT82YsvHo+QboY3ov3Ybrolvv8jgALL+0twcJLx5uFl441Z3hpWXOGl543VUQWXirSehSHhZdmMlh4aTjHRWHhpePNwkvHmoWXljULLz1vqogsvFSk9SgOCy/NZLDw0nBm4aXlLKKx8NIy55IGWt5c0kDLmyoaCy8VaT2Kw8JLMxksvDScWXhpObPw0vNm4aVlzsJLy5sqGgsvFWk9iRP0KBChYZF6MprvhmGWFjHZcunn2NQYFQuvGtA0aMIlDRrAU7EpZ3hVBKbh6Sy8GgJUsTkLr4rADOR0Fl4DmShtDfP9nPEwfnhbW91ptZ/INv0QWbcN9GvRNPUvkYVXfXbqtGThVYeaem1YeNXjpm4rFl51yanXjoVXPW763oqFV99nSMvj++BgDeN717Xcq3a6i+g6FJGNOrHwagfnL9cLCy/dlLPw0rEWkVh4aXmz8NLyporGwktFWk/iGJrwHjp2Fv6nLsLE2BjFixSERZ8OCpKxsbFwXeeHl6/fISzsK9q2qI/6tSop3r949Rau3byHkLBwjLDsASMjI2zw24sqFcqgVMkiOp8RzvDqHHGCACy8dLxZeOlYs/DSshbRWHjpmVNEZOGloKxHMQxNeNd670S/Hm2QxsQEVrazsHz+eJiZmUqiHz5+xtFTF9GlXRMEBQVj8jxXLJkzTkF7/lJP2A7phU3bD6Jh3WoIDgnF5Wv/oneXliQzwsJLglkRhIWXjjcLLx1rFl5a1iy89LypIrLwUpHWkziGJrxx2AKfvIC79w7MnGitlOQB/wC8/xiUQGaXuvng7x5t4LPtINo2rw+vzXtQtVIZBD5+gXJlSqJqxTI6nRUWXp3iTdQ5Cy8dbxZeOtYsvLSsWXjpeVNFZOGlIq0ncQxReM9cvI6TAZcxzLI7MmYwT0AyJiYWPlv3IzI6Gn93byPLFuKO5y/fYs+hk8iZPSveffiE1k3qwHPzHtjbWmCOszsm2VrodFZYeHWKl4WXFm+CaCy8tPC5hpeWN5c00PKmisbCqwHphSt8sW3fSWxbOwv5cmfXoCdg+/5T6Niyrkp93Ln/BKOmLMeBjQuwznc/Hj55iZl2A3/Yh6EJ7+ET5/Aw8Dms+nVKILNxF7nEzQcVy5ZCvZoVk7xuUcv76s17tG1eD3Od12Ki7UDFnyoBV/FkFl4VgWl4Omd4NQSoQnMWXhVgaeFUFl4tQFShCxZeFWAZ0KksvGpOVnR0DNr+PVEhqZa926jZEyAevqrfaSRObl+aKHtpbJz0Il3xhTcsPALR0dHImCF9qhHeqOhodOk/DuVKl0Rc4tbGojvOX7kp63HL//UHps5zRenfi8prNjdPj/Ej+ie4/qDgELh5bsNYm77ydW+/ffgaGYXsWTOjQ6sGas9ZShqy8KaEkvbOYeHVHsvkemLhTY6Qdt9n4dUuz+R6Y+FNjpBhvs/Cq+a8nTh7DQeOXcAoyy6wHOeIXR6zFT1VaDoIRzYtQs7sWeRrcT9nyZQBDgvc8c/N+4iOiUGlv0piht1AjJu5EkdPX0HxIgWwasEYtPt7Eqz6tIG7zz4c9XPGg8cvMMPJE0FfQpDWzBT2o/qiesU/kVSG98adR0rPF2MxtAyvmtOjF81YeGmngYWXjjcLLx1r+WE+rQnMTE3wKTiCNvAvGo2FN3VOPAuvmvNqO3U5urVtiJpVymCg7XzYDu6GsqW+ZRqTEt7L1+9h8+5jWOM4DrGxwKKVm9C4bmUU/S0vGnaxxT+H18j2tdraoGOruhg7pLv8Gr+L5VT07dIM7ZvXxl7/c1jhsQN7veYlKbxJnc/Cq+Zkq9mMhVdNcGo2Y+FVE5wazVh41YCmQRMWXg3gqdGUhVcNaAbQhIVXjUn6/CUEXS2n4sDGhRAlB6L+9va9QNiP/Pa1eVLC++T5a4yZvgLTxgxAjcqlZbZWHB8/f0kovO1s4DpvNMqXLi7fD/8aAdM0aWBiYoy37z+hSbcxuObvnqTwJnW+6Ovp2auI/qqfWYJos4x4nb4YYmO/lXFkyQxkzxarxgzpRxMWXtp5YOGl483CS8daRGLhpeXNwkvLmyoaC68apH12+GO+i49CWEUNrqlpGhzfugSmaUySFF5R4nDw+EWI9v/+9xgtGlbDhGG9Ef71ayLh9VkxBYUL5pGj2+d/Hj47jiAyKhqidvjO/ce4cXRdksKb1Pmir1lOEQh8rP+b96YxBf7uE43ChVh41bhFf8kmLLx0087CS8eahZeWtYjGwkvPnCIiC68alHsMmY6JI/ooMrCii2GTlsgH2BrXrYTKza3kygm5cmRFZGSUFOAT25YoanrF+UHBoRgzbQVqV/tLliokKGloZwNf1yn4rUAevH77ES1622HL6ukoXjg/Xr39gKbdxyQpvMMGdEzyfBZeNSZbgyac4dUAnhpNWXjVgKZmExZeNcGp2YwzvGqCU7MZC6+a4PS8GQuvihMkHiATNbvHty5OsEyWKGs4duYqls4cgZa9x2OKbT9Z37v70BlMnLtani8ecvscFAzr/t+2x528YK2U2C5t6qNWOxuc37sS5unTyv+PE97/Hj1D/1HzcMzPGSYmJnBe7SeXILt80A2BT18lWpasX9dmSZ6fLq2ZQWd4k9tKOG4qb/77AHbTF2Of77IEs+u7/aD8WfTTs1ML+eeCZethbdEVmb5b31fF20Lp6Sy82qCY8j5YeFPOStMzWXg1JahaexZe1XhpejYLr6YE9bM9C6+K8+K0ajO+BIdi6piEy1+JOtzGXUfLVRXOXbmNxau3IF+e7KhXvTw8Nh/A5lXTYGaWBvbz1uDeg6cwMjaWD7nNGm8B8/TpMGjsQlkHvGr+GAwev0ghvGJ4E+esxsVrdyBWeRhn3QMu63YgJiYGk237KV2HN6nzvV0cDFp4k9tKWLAKCwvHvCXr5LbDy+ZPSDC7MxetweQxgxRr8G7d7Y+iRQqgUtlSKt4FKTudhTdlnLR1Fguvtkgm3w8Lb/KMtHkGC682aSbfFwtv8owM8QwWXkOcNQ3GnFpqeJVtJSywiI0oWjetg+VrNmHx7LFKhVfsstarc0scPXUR6dOnlcu9tWtRH/ny5NSAbOKmLLxaxZlsZyy8ySLS2gksvFpDmaKOWHhThElrJ7Hwag2lXnXEwqtX06H7wRi68P5oK2GxBfGzF6/QrX0zjLJ3TCS85y/fwI3b9/FHySIIOP8PenRsjqOnL6F9i3rw23UEQ/p30eoEsPBqFWeynbHwJotIayew8GoNZYo6YuFNESatncTCqzWUetURC69eTYfuB2PowvujrYTnL/VARGSU3JXt6o27aFi7MoYN6pEI6vpNe1C7WnlZViIkuH3LBljtuRUjh/TW6gSw8GoVZ7KdsfAmi0hrJ7Dwag1lijpi4U0RJq2dxMKrNZR61RELr15Nh+4HY8jCe/veI6VbCfceYg/vlf/b6U5QVJbhFa/fuvMAt+4+kFlgscTb0tU+SGNigkZ1q6JMqW/rHmvrYOHVFsmU9cPCmzJO2jiLhVcbFFPeBwtvyllp40wWXm1Q1L8+WHj1b050OiJDFl6dgtFB5yy8OoD6gy5ZeOl4s/DSsRaRWHhpebPw0vKmisbCS0VaT+I4uUbg6TPD2Hiic6do/FaAN57Qk1tH74fBwks3RSy8dKxZeGlZi2gsvPTMKSKy8FJQ1qMYj55GITg8Wo9GlPRQ0qWLRQZzFl6DmCw9GCQLL90ksPDSsWbhpWXNwkvPmyoiCy8VaT2K8+J9mB6NJvUOhUsaaOeWhZeONwsvHWsWXlrWLLz0vKkisvBSkdajOCy8NJPBwkvDOS4KCy8dbxZeOtYsvLSsWXjpeVNFZOGlIq1HcVh4aSaDhZeGMwsvLWcRjYWXljk/tEbLm2t4aXlTRWPhpSKtR3FYeGkmg4WXhjMLLy1nFl563iy8tMxZeGl5U0Vj4aUirSdxgh4FIjQsUk9GE28YadMjOksOuWlEajlYeGlnkksa6HhzhpeOtYjEwkvLm4WXljdVNBZeKtJ6Euf9nPEwfnhbT0bzv2FEdLJCdLXGSE3Gy8JLe5ux8NLxZuGlY83CS8taRGPhpWdOEZGFl4KyHsX44GAN43vX9WhE34bytc9oRNdqwcKrdzNjOANi4aWbKxZeOtYsvLSsWXjpeVNFZOGlIq0ncQxJeA8dOwv/UxdhYmyM4kUKwqJPhwQUr16/g5WeW9G+RX20alonwXsXr97CtZv3EBIWjhGWPWBkZIQNfntRpUIZlCpZhGQ2OMNLglkRhIWXjjcLLx1rFl5a1iy89LypIrLwUpHWkziGJLxrvXeiX482SGNiAivbWVg+fzzMzEwVJI+duoRPQV+Q1sw0kfDOX+oJ2yG9sGn7QTSsWw3BIaG4fO1f9O7SkmwmWHjJUMtALLx0vFl46Viz8NKyZuGl500VkYWXirSexDEk4Y1DFvjkBdy9d2DmROtEFHfsOw4z0zSJhHepmw/+7tEGPtsOom3z+vDavAdVK5VB4OMXKFemJKpWLKPzGWHh1TniBAFYeOl4s/DSsWbhpWXNwkvPmyoiCy8VaT2JY2jCe+bidZwMuIxhlt2RMYN5ioX3+cu32HPoJHJmz4p3Hz6hdZM68Ny8B/a2Fpjj7I5JthY6nxEWXp0jZuGlRayIxsJLC55XaaDlzQ+t0fKmivZLCW+fYbMRFv4Vfm7TYWz8bf2roOBQNO0+Buf3uv6QeVR0NA4cvYA2TWviv0fPYDXOEce2LNZonqq3HoqdHrORN1d2jfqJa5yS/gxJeA+fOIeHgc9h1a+TrMFVdiSV4Y07V9TyvnrzHm2b18Nc57WYaDtQ8adWoP+gExZeXRNO2D9neOl4s/DSseYMLy1rzvDS86aK+MsJr5Afq77t0K1tA5WE99//HsPZzQ9uC8dqLLwxMbFSuFMiqKrcCCnpz1CEV3zA6NJ/HMqVLqlYqczGojvcvLahU5vG8iG2OU5rpMwaGRujcIG8UmbjH0HBIXDz3IaxNn3ly95++/A1MgrZs2ZGh1bf5l+XBwuvLukm7puFl443Cy8daxZeWtYsvPS8qSL+csLbqVVdLFmzFXvWz0WmjOaJMrwnzl6TYhsZFYVC+XNhpp0FzNOnQ7u/J0EIVLk/i2PC8F6wnrgYnVvVw9Z9JxEdHY0Z4waiTrWyct5Wee3GrkMBMitZo1JpjLfpCVPTNKjacgis+rSBu88+HPVzRsMuoxQZ3p0HA7DKaxeioqKRL08OzLMfjHy5s8NryyHcffAUERGRePLiDaKjY7BkxjDkz5sTpy/cwOwlXjA2NpaZZ8/NB7Fj3SzkyJoZDgvc8c/N+4iOiUGlv0piht1ApEtrBkMRXqpfAF3GYeHVJV0WXlq6CaOx8NLS55IGWt5c0kDLmyraLye8owd3wz7/c1JAhYjGL2l49+Ez2vSbCK9lk1CyaEF4bDqAKzfvYenMETh4/CK27j2hyPB2tZqGGeMGoF2z2ti8+zh2HjgNbxcHHD19BYtXb5H/L0R51NTlqF7xT/Tp3BS12tqgY6u6GDuku5ThuIxs+rRp0aDLKOzymI1C+XNjmqOHzGpOHdMf3tuOwMVjO3Z5zEHO7FkwfZEHsmTOiOEDO6Fxt9GYNd5CirbvzqOYtdgLRzYvwrVbD7B59zGscRyH2Fhg0cpNaFy3MiqVLcnCS/WbBYCFlxA2r9JACpuFlxQ377RGi5s3niDmTRXuFxTeriheuADa/j0RHksmSomMq+EVWVYhw6sWjJH8Q8PCUaONNa4eWoMjpy4nEN5e1rNwcf9KeZ7IwNpMdMaRzU5wmO+OIoXyYlCv1vI9kTFet2k/PBZPQK12NnCdNxrlSxeX78UvQQgJDUcG83Ty9b3+57B9/ykprEJ4z166heVzRsr3Nmw9jFt3A2HZpw16Dp2hqD3+GhGJSs0s4e/nhBev3mHM9BWYNmYAalQuLZftijuenr2K6K8RVPdXknGE0Kczi1W8H5shE2LyFwN4a+GfPjeGOgAuaaCbORZeOtYiEmd4aXlzhpeWN1W0X1J4K5X9Hd7bDuPkuetYOGWoQnjX+e6X2dSsWTIp+AeHhMnyh8vX7yUQ3vgPrcV/iG3oBGdcu31fZnfFERMTgxzZssDPbZoUXp8VU1C4YJ4Ewps7RzYZN+DCDfn65y+hyJ8nB9yd7KTwXr/9APMdBsv34n7u0aERxs1ciSObFinGWrm5FfZumCcfghMZaZ8d/hC1xy0aVsOEYb2RPp0ZZjlFIPDxz7fKEsVj0bdXdGraSTjR7yxneKn+GvsWh4WXjjcLLx1rFl5a1iIaCy89c4qIv6zwioeiOg2cjKF/t8e0RR4yU7r70BkcOnERy2Z/y6bGP74vaUhKeCcvWIuSRQugX9fmifoQwuvrOgW/FUgovEKm3Tbshtcye2TOaC7HsePA6R8Kr1XftuhlPVOR4RXZaFEjLDK88Vd9ECUbY6atQO1qf6F/txYsvBS/Vf8fg4WXEDYLLylsFl5S3JzhpcXNwkvMmyrcLyu8AnDAxZuY6bweHz9/keIoang7DHCQ9bciC3vjziPsPhSASSP6yNrc1Rv3YqOLA+6LpbLiLUsWP8N7NOAqXD13yhIGUaIg6ntN05igY8u6MsOrTHj9T11BwMUbWDHXFp+/hGD0VBe5Ja44N6kM76wJg9Cw8yjMnWSFutXLQmSnndw24/CmRThy8jI+BwXDuv+3rXiFhBcvnB8DerTUa+EV0u61aS8CLvyD9StmJvod2HPoFE6duyq3Gm5QuzKaNaypOOft+0/w3rJP/tyrc0vkzpkNV27cwaPA5+jctjHV71OCOCy8tNg5w0vHm4WXjjVneGlZc4aXnjdVxF9aeAVkm0mLcenaXUWmNG6VhvCvEVJY7Uf2gSiBEDLcY8h0ueqBWJosKeEVfYpsrcjQihUXRD3vrPGDkDtn1iSF18zUFNYTnfE5KAR5c2eDrWVXDHdYKiU5V46sSksaRImDkPC5yzciNjYWXVrXlw+ufXtYLi3s563BvQdP5ZJdZUsVlQ+3iTILfS5puPvgMczTpcUsJ3esWmSf4HdAZOSHjJ4NN+fJsgzC1mER5k0ZIVeeEMfBo2eQPVsWCJbPXr5G/VqV4eLuB7vh/ZJcw1fXv2QsvLomnLB/Fl463iy8dKxZeGlZs/DS86aK+EsJLxVUfY6jz8Ibx23wmNmJhFdI/aCRM7B8/gSYmBjD2m4epoyzxG8F8spmJ85chnjiTay+8TU8Ajfv3JfbB1+7dQ95cuUgWXf3+3ln4aX9TWDhpePNwkvHmoWXljULLz1vqogsvFSk9SSOoQqvwHfu4nXsPXIaeXPnxLMXrzHcsgfy580lyYpVKsTGEuIoWCCPLHu4euMuhg3qjlWeWzGwd3tkUrI1sS6nhYVXl3QT983CS8ebhZeONQsvLWsWXnreVBFZeKlI60kcQxfeapXLIiIyEqMdFmHpPDukMTFJQPb9h0/w8tuHUYN7Yd7idRg/sr8U3m7tm8qSB8qDhZeSNq/SQEmbhZeSNi9LRkubV2mg5k0Vj4WXirSexNFn4RV1uGcuXMM/N++hwl+/o0WT2iiQLzdc1/ph7uTh2LHvGM5cuC53luvUpiGqVforEdVFKzbAsm9HZM6UAWcuXsf1W/fk0nDWA7uRzwALLy1yzvDS8WbhpWPNGV5a1pzhpedNFZGFl4q0nsTRZ+HVE0RaGwYLr9ZQpqgjFt4UYdLKSSy8WsGY4k5444kUo9LKibwOr1Yw6l0nLLx6NyW6HZCTawSePvv5G08UKQJ06RjFG0/odrp/qd5ZeOmmm4WXjjVneGlZc4aXnjdVRBZeKtJ6EufR0ygEh0f/9NEYGcUie7b/bS380wekgwFwhlcHUH/QJQsvHW8WXjrWLLy0rFl46XlTRWThpSKtR3FevA/To9Gk3qGw8NLOLQsvHW8WXjrWLLy0rFl46XlTRWThpSKtR3FYeGkmg4WXhnNcFBZeOt4svHSsWXhpWbPw0vOmisjCS0Wa4zABJsAEmAATYAJMgAn8FAIsvD8FOwdlAkyACTABJsAEmAAToCLAwktFmuMwASbABJgAE2ACTIAJ/BQCLLw/BTsHZQJMgAkwASbABJgAE6AiwMJLRfonx1ntvQeemw8iKjoarRrXgP2IPjAxMf7Jo0qd4Z1WbYbH5gNyR7i4Y9PKqfijeKHUecE/4arEfbx49Ras892P0zuXIVuWTHIU4V8jMHXhOhw7cxXp06XFsIEd0bVNg58wwtQV8sOnL5gwexVevf2IXR6zFRfXY+gM3PnvMeIW1M6c0Rwnty9NXRdPfDXBIWGY7uSBgAs3YWqaBj06NMLQfu3lKE6dv445Szfg7ftPKF+mBObbD0bO7LRbphPj0Hm4B4HPMW2RJ+4+eCJZjh3aA41qV0RERCQqNrOUcxB3iNedptnofEwcQDcEWHh1w1Wvej13+TYcFrjDc8lEZMmUAUMnOKNV4+ro2aGxXo0ztQxm+iIPlCxWCL06Ml9dzelw+yUoVeI3rPTaJQUrTniXum/Fv/89waKpQ/H67Uf8PXIu3J3sULJoQV0NJdX3GxIajp5DZ6B+zQo4ce5aAuFt3XcClswYjhJFC6R6DlQXOHuJF8QHjNkTBuHDxyD0tJ6JRVOt8XvxQmjRcxwcpw5F1Qp/YrGbH16+ec8CpuHEtB9gjy6t66N3p6YIuHgTo6ctx8ntyxASGgbxXsDO5RpG4Ob6QoCFV19mQofjmOG8HvlyZ4dl7zYyish+iWyvx+IJOoz663Y9doYr6tcoj7bNav26EHR85XfuP5HCW7bRgATC27bfRMyaMAjlSxeXI1jg4oOMGdLDun8HHY8o9XYfGhaOdx8+y/9EJix+hrd+p5HYtGoq8ubKnnoBEF/Z0YCr8tugAnlzysjDJi1Bw9oVkcE8HbbtOwm3hWPl61+CQyH4n9uzAmZmpsSjTB3hxDdF2/efQseWdZHGxEReVPXWQ+HnNh3R0dEyOXRg44LUcbF8FWDh/QVuAosxC9CjfSM0rVdFu0swHgAAGKZJREFUXu2jJy8xwHY+jm9d/AtcPf0lDrZbhNjYWDwIfAEjYyN0a9sAVn3a0g/kF4j4vfCWb2whBThL5gzy6jfvOoZL1+5iweQhvwAN3V7ilRv3Egmv+Mq3XvVyEO9lz5YZo626oX7N8rodyC/UuyhvaNNvovyW4sjJy3j/8TMmjeijICCEd/3SSShcMM8vREV3l3rj34cYOWUZjmxyws07DzHcYSmK/pYP/z16hj+KFcKU0X+jSKG8uhsA96xTAiy8OsWrH533tpmFwX3bol6Nb/8QvXj1Dh0GOuDCvpX6McBUNgq3Dbtl/WiXNg3w4vU7WI11xPhhvdCs/rcPHHxoj0B84Y2MikaFJha4dMAN6dOZySA7DpyWorB8zkjtBf1Fe/peeGNiYjF5gTua1KuMOtXK4fSF67CbuRK7POfKb5T40IyAqEcfNWUZyv1ZXH5DIWrWRUZy7JDuio6b9hiLpTOH48+ShTULxq3x7OVbWI1zxORR/VCzShmI2t71Ww6hV8cmKFooL1zX78KxgKvYsW4W0zJQAiy8Bjpxqgx70NiF6NSynqzbFcfdB08hspCc4VWFovrnuq7fiZev32PGuIHqd8ItlRJQluH193NSPMizYethXL/9gDO8Wrh/lGV4v+92oO18dGpVD22a1tRCxF+3i6DgUNhMdEa1in9i+MBOEoT4IC3+Hpk6pr8CTM021vBdOZUzvBreKuLfxJGTl2HCsF5oUKuC0t7Eh40qza1w0McReXJl0zAiN/8ZBFh4fwZ14pjiIYismTPCZkBHGXmf/3ls3XtCfk3Gh/YJCDEo80dRpP3/urrla7fjU1AwHEb11X6wX7zH74VXPGRiP6IvqlUsJcmIBwjz5MqOIf3a/eKkNL/874U3NOwr7j18igplSig67zdijnz4p3mDqpoH/EV7+BoRCYvRC9CiYTX06dxUQeHQiUvw3nZYPnwsDrFSQ4tedrKGN/5KAr8oNrUv++mLN7Ac64g5Ey1RqWxJRT+C7+egEMUDmZGRUajcwgonti1RPCSrdlBu+FMIsPD+FOy0QcU/VOKrRlHrlSFDevkVe7d2DdG5dT3agfwi0UQJSY3KpWHTv6P8mmzAqHmYNnYA6lYv+4sQoLvM74V3ldduXL15D07Thn1jbzsPG5bZyzo8PjQj8L3wiixk4662cJ4+DHWqlcXpCzcwboYr9njNQ45smTUL9gu3XuGxA28/fMbU0X8noCBWy2jRaxzmOwxG1fKlMG/5RgSHhsmlyfhQn0D/UfPQvV1DtGz07RvQuOPMpZtwmO8Or2X28qFMV8+dOH3xBnxdp6gfjFv+VAIsvD8VP11wT7+DWOO9B6LOsUOLOhhv0xNGRkZ0A/iFIj15/gbTHNfh9n+PkSmjOf7u2jxBpuYXQqGTS/30ORgNuoySfYusS1x268imRXLZvWmLPHD45CWYp08HW6uuaN+8tk7G8at0euTUZYiVRxAbK//+ELxFTeP2tbNw6vwNLHT1xeu3H1AwXy7Y2fRE9Yp//ipodHKdTbqNxtv3n+UDr3GHeOhYfN1+7sptTF/kibfvP6KKkN5JVsiaJaNOxvErdCo+FDfvOS5RhtxxylA0qVtZrvPttfUQwsMjUPbPYvKhtbjVM34FPqntGll4U9uM8vUwASbABJgAE2ACTIAJJCDAwss3BBNgAkyACTABJsAEmECqJsDCm6qnly+OCTABJsAEmAATYAJMgIWX7wEmwASYABNgAkyACTCBVE2AhTdVTy9fHBNgAkyACTABJsAEmAALL98DTIAJMAEmwASYABNgAqmaAAtvqp5evjgmwASYABNgAkyACTABFl6+B5gAE2ACTIAJMAEmwARSNQEW3lQ9vXxxTIAJMAEmwASYABNgAiy8fA8wASbABJgAE2ACTIAJpGoCLLypenr54pgAE2ACTIAJMAEmwARYePkeYAJMgAkwASbABJgAE0jVBFh4U/X08sUxASbABJgAE2ACTIAJsPDyPcAEmAATYAJMgAkwASaQqgmw8Kbq6eWLYwJMgAkwASbABJgAE2Dh5XuACTABJsAEmAATYAJMIFUTYOFN1dPLF8cEmAATYAJMgAkwASbAwsv3ABNgAkxACYHXbz9i6AQnPHr6CjvXzcJvBfLoFae5y7whxrh4xjC9GldqGcyWPSewbtN+7PWal1ouia+DCfzSBFh4f+np54tPTQTeffiM+p1GJrikLJkzoHzpEhg7tDuKF86vd5f7IPA5Xr39iNpV/9K7sXn6HYTvDn94u0xGlkwZYGJinGCMrftOQODTV/I18V6ObJlRpfwfsOjZGqVK/Kbz69En4VV276UxMUGBfDnRrV1D/N21OYyMjHTORJsBtCm8+nyfa5MZ98UE9JkAC68+zw6PjQmoQCBOOlzn2eL34oVky7fvP2PV+l3497/H2L1+LszTp1WhRyA6OiaR6KnUQTInL1mzFRERkRhn3UOb3Wqlr6XuW3HzziO4LRyrtD8hvM0bVJVC9/VrJJ48f43Nu47h1PnrWDJzBOrXLK+VcSTVyc8SXmX3hLJ7T8zr5ev3MNN5vZzfnh0a65SHtjvXpvDq832ubW7cHxPQVwIsvPo6MzwuJqAigTjp2LRqKv76o6ii9eegENRqZ4N1zhNQrWIpfI2IxHwXHxw4dh6xMbH4q1Qx2I/sgyKF8iI4JAzVWw/FnImWWLDCB4P7tEW/rs1x4uw1OLr64unLtzJTbGfTE9Ur/iljnL/6Lxa4+ODRk5fIkysburZtgP7dWsLY2AgLXX0h4otMs+jjS3Ao2jarhbFDumP52u1YtWEXjI2MkStnVhzZtAg37jzC/OUbcef+Y6RLmxaN61aC/Yg+MDMzlbGu3PgPM5098eT5G1Sv9Cca1KwAd599OOizMNmxfI8z/GsEFq3chKOnryI0LByl/ygC+5F9Uey3fFi8egvW+e5HTGwM0pqZYsvqGZJP/EMIb5fW9TGgR8sEr09z9MCxM1dxyNdRtn3x6h1mOK/HpWt3kDGDOerVKAc7656IiY1FvQ7DsXL+GNSoXFrRRy/rmahaoRRsrbr+kO33wnvxnzvyeh48fomc2TOjU6t6Mtss5mHWYi8Eh4YhnZkZzl6+hcioKPTu1BQWPVvJuOrcE/EvOql7T5wjhFfcG2udxyc7Ry9fv8d0Jw9cvXkfsbGxqPhXSUwbOwD5cmdP9hp+NJ+hYV9RteVgLJs9Equ99+Dtu4/Ikjkj5tlboWTRgnJcV2/+hxlO3+6tCn+VkPf3zoMBipKGXYcC4LZhD56/eiez+f27tUCfzk1lW1Xvc/E7s3CFr+SSPl1aNGtQFROH9YKpaRoVf+v5dCbABFJKgIU3paT4PCag5wSSko64f+zdnexQo1JpOK7chOu3H8BxirUU0ZXrd2H/0fPY4zUXUVHRqNzcSpYYTBrRB7lzZkVwSDia9xqHGWMHoEGtCth9+Cyc3TZLoYuJiUWLXnaYNra/zHY+fvoKg+0WwWZAR3RsWRdOqzbDZ8dRzBo/EM0bVMPdB0/RedAUbFk9XX7tP9x+iayNFRlAIThNuo1By8bVYdO/I95//AzLsQvRrW1DKZVh4RFo1GWUFOoh/drL7OGUhe4wT59OSsn7j0E/HMv30yck8NrtB1gyYxiyZskEl3XbsefIWSnP6dKaQWTlbt39cYZXmfC+efcJDbuMwmrHsahV5S/0GDId5cuUwMhBXfA1IgITZrtJYRIfKoZOcEbBfDmlaIvj7ftPaNB5FLa5z0TO7Fl+eD3xhVfU8oo5Eh9c2jerjYdPXsp5EEIrPrCIczfvPg7HyUPlhwgxD92spsFl7ijUqVZW5XtCME+p8M5Z6i0/wKxfOinZORo9zUWydxjVT94P4kOX+MAk6pSTu4Yfzacop6jUzBI1q5TB4unDkDFDethOXS7vdyHBkVHRaNJttPyQMKRfO9y9/wRiLGnTmsl7S5SuiA84S2eOQN3qZeV9M2jMQmxwcUDZUkVVus8Ft7odhmP4wE7o1LoexO/tCIelaN+8Dnp3aqLnf8vw8JiA4RJg4TXcueORM4FkpUNkLkW2Ugjtfu8FyGCeDtVaDYHLHFuZ7RWH+Iq6eushWDF3NMqXKS7FYPaEQejQoo58X2ZQj1/A5lXTFPFEtkvInPhTZG49l0xUvLdm4175tb54TQjviXPXsHPdbMX7jbuOljXFLRtVTyC84oQPn74go3k6RUZ39hIv+dqiqdY4c+kmho53xtk9LlJyxeEw311m5oSUrPXd98OxxIclZEqI/YLJQ9CkbmX5lmBVq62NohxBXeEVfdVoY43RVl3x5+9F0HfYLFzcv0qRvRMfNvoMn40rh1Zj75FzWLpmK/z9nOQYfHb4Y+O2I7L8JLnriS+8gvneI2exfe0sxWWKeRfMxLyJcwMu3sSe9XMV71uMXoBihfPJDzaq3hPf/+op+7AlGIu5sZ64WH5TID60JHdNVuMcUSh/bky27ae4N+Nqp5O7hh/Np8igi/vaefowNKtfRfa9bd9JrPXdL5mI7LjFmAU4t2eF4t6as3SDZCbuLfE78uFTEHLlyKq49PYD7NGrQ2N0b99Ipfs8KjoaNVoPxazxg9CiYbVE18l/rTEBJqAbAiy8uuHKvTIBcgJx0iG+RhdfY4tDZEVFCcIMu4GoUKaEIoOobHCzxlugVeMaUgy8ltmjUtmS8jTxFX1QcCicplknaibe89tzPNHr+fLkkCUKQnjvPXyGlfNHK84RGeHBfdvKDHD8DK844WjAVazz3YeXbz7I84O+hMivlkUWbvv+UzLrenzrYkVfQhA3bD0spSS5scQfZFwmVYh4iaIFFG816mors6Li635NhXe8TU8p7nYzVyq9F0SGXDwMV6fDcHgvd0CZP4pASGiVCn9gaL/2yV5PfOEV1/75S7AUurhj696TssThzG4XKbxPX7zBirm2ivcnzV0tyxwmj+ons8qq3BPfn6vs3hPZU3H9IiM/2qqbrAVPbo6EIA+zXyKlU2SexbcG4lsJcaTkGpKazy5tGsj72nflVJmRFcfuQ2ewxH2rvE/3HD4rs8knty9VXJr3tsPYuN1f3ltC3sUHv33+5+Q9CSMjvHv/CaMHd5MZdFXvc+9tR7BwhQ9KFiskv01p17y2LKXhgwkwAd0RYOHVHVvumQmQEoiTDvG1a8li3yRO1CkKqYo74s7ZumaG0pUERC2nEIP4dcDKZCquv+lOnvIffiGkyg4hAv89eg7xIF3ckZTwinrGDgMcpJy3bVpLSruoNX724o3sXwjc8nXbcGzL/4R3086jWL/lkJSS5MaiTHh3ecxG8SL/E15RijCoVxv51bK6witqQFv2toO3iwNETeq0RR44v9c1yXvBZtJi/FG8EP7u2gJ1Ow7Hbs+5KFwwT7LX873wBgWHwGmajSKOeOjKyW0zzuz6JryPn72S9cJxx/jZqxATE4PxNr3k6h6q3BNJCW/8e89j80Fcu3VfSqZpGhPZJCVzJGpxAy7cxPGz/2D/0XPo2aEJxgzp9sNrEDXRQtqTms8ubeonuq/jC6/I9jq7+eHUjmWKSxOrdIiHEMW9Jd53WuUH1/mjFcIsSnPaN6+tEN6U3udxAcQ3F8cCruJowBWZSRZz16h2RdK/MzgYE/iVCLDw/kqzzdeaqgn86MGh+BdeteUQTLbti3bNaiteFg/iFMibUz689L3wiq/Ldx06I2Ui7vDYdAANa1eU/2D77jyKAxsXJJDqTBnN5QNbqgivKI8Q0hFfaPuNmCOFXQivKJ0YOXkpzu11lXWe4piycK2s5RVSIsb0o7HEZyAyduIhpnn2gxUlDeKBujrth2P5nFGyTlNd4bWftwaXrt2VTG7fe4xug6fhyGYn+eCVOERNtZC67FkzyZ+FeIn1Xvt3bwGvLYfh5/atdCS564kvvKJUQPQTv6RB1GqLcfi6TpGyePLcdez3nq/A0Hf4HFnCIh4gVPWeSEp4439QEtcpvvZv06QmRg7qnKJrEvewqG+OW8Ls6OkrmDDHDRf2rfzhNYwZ3O2H8ynKd76/r+ML76nzN2AzyTlBSYP4oHfx2h15b4nSmcjIKMx3GCyvQzzcKT4ciTrcuAxvSoVX3Hui3lzUaMcd85ZvxLMXb7F8jvIPjqn6Ly6+OCZARICFlwg0h2ECuiaQUuEVIiREwmXOKBTMnxtb9hyXdaRCytKkMUkkBnEPRI0b2h2tG9fEoRMX5VPpBzZ+Wxmhec+xGNy3nfyHP+4BnKb1qsiHf5IT3rEzXKVIzBg3EHfuP4Go4dzmPkPWca7w3InTF24gjYmxzBJ+/hKChp1HwapPW1l2IGRuiuM6mJmmUTy09qOxfM9fSMaVG/ewdNYIZMpgjv9r7+5Cs67iOICfzZtFhSzKus6LUKgsKIgugordeJWJicMu1GiBiphDKxFMyhI3KDWVXi5KTQwqKHoBSdAbMwyVUoTsjaHma1lJl/E79sQQebYdNuQ8fv7Xz9nO+fz+6Hdn5/zWt3lH2h27ilvX5PO2wwm8jbZk0e3i+G9n07aPduYfAqKVWfTkjeeJp1emWyd0plW9c/OudSOoxiXCeP6++E++xHTnpNtz14lG14cIRc3WMzjwhnvXzCVp+aLZeXc8LHuW9aeFc6blM6bx2Q8/25OW9MzIR0m+OXg09SztS1vWL093T56YL62N5J0YTuCNz8QZ4p6l/fnIRqyv2ZrmdU9Ncb473qNZjz0apwbSxv/egdh9HmoNzeoZHTGaBd6oQQTY+L7zZk1N3x39Kb2w+q3U0XHp0lpcaPxi1770/sYV+aLbirXvpGM/H88/9MUPDCN5z0+dOZ9mPvNiWvfSwnT/PZPShT8vpt5VG3O3iGXzZ431PxO+PoFrVkDgvWZLb+GtJjDcwBu7i3FUIC6iRf/Y+HV6/Ed71+SJV9zhDados9W/aUduSxZnDaMtWeNs5d79h3MAPvbL8bwbG23HFj01PcUfHhgqCOzeezD1rtqUd2zjLOXq9dvy5avoFxznaOMc55zFr+bwGL8uj3ms2bA9nT57Pj30wJR8znj7x1/lS17xNJvL5fWOHci4mLRzz/7U3taWOyk8v7A7h+14hhN4G394Ij7fOf7GdN+UO3IHiTBtPAMnTueWWtGWbNy4cdktLmUN3uFbsPz1HDgH7wQPtZ7L25LFLuXaTdtzW63YTY7wFkczYre08dkJN3fmi4bhHW21Ylc5npJ3YrBns3cvdryjq0GE1tj1b1ajaEu3ZkO0pfs1tbe355D83ILufA59qDU0q+eVfnMxeIc3W397OL382pb8jsd79fCD96Z3P/gyd+34/Y+/0rMr30iHjhxLt91yU37/T54+l1vozZ8zLZ07f6Hp0Z3L3/PPd32d3tzyaRo4eSZdf11H7n4S64xLpR4CBMZGQOAdG1dflQCBMRCI3eC29rYcpuPZ/N4nad+BI+ntvku7pZ4rC1ytP1IxmvVohTWMpoevRYDAyAQE3pF5+TQBAldJIFpDPTJjcb4oFLuoAydO5ZZXT07vSrOnd12lWdXxbVshLLbCGup4W8ySQGsKCLytWVerItCSAge+/yG9sm5rOvrjQOocf0O+ELVg7uP/dwFoyUWPwqJaISy2whpGoZS+BAEChQICbyGcYQQIECBAgAABAnUICLx11MksCRAgQIAAAQIECgUE3kI4wwgQIECAAAECBOoQEHjrqJNZEiBAgAABAgQIFAoIvIVwhhEgQIAAAQIECNQhIPDWUSezJECAAAECBAgQKBQQeAvhDCNAgAABAgQIEKhDQOCto05mSYAAAQIECBAgUCgg8BbCGUaAAAECBAgQIFCHgMBbR53MkgABAgQIECBAoFBA4C2EM4wAAQIECBAgQKAOAYG3jjqZJQECBAgQIECAQKGAwFsIZxgBAgQIECBAgEAdAgJvHXUySwIECBAgQIAAgUIBgbcQzjACBAgQIECAAIE6BATeOupklgQIECBAgAABAoUCAm8hnGEECBAgQIAAAQJ1CAi8ddTJLAkQIECAAAECBAoFBN5COMMIECBAgAABAgTqEBB466iTWRIgQIAAAQIECBQKCLyFcIYRIECAAAECBAjUISDw1lEnsyRAgAABAgQIECgUEHgL4QwjQIAAAQIECBCoQ0DgraNOZkmAAAECBAgQIFAoIPAWwhlGgAABAgQIECBQh4DAW0edzJIAAQIECBAgQKBQQOAthDOMAAECBAgQIECgDgGBt446mSUBAgQIECBAgEChgMBbCGcYAQIECBAgQIBAHQICbx11MksCBAgQIECAAIFCAYG3EM4wAgQIECBAgACBOgQE3jrqZJYECBAgQIAAAQKFAgJvIZxhBAgQIECAAAECdQgIvHXUySwJECBAgAABAgQKBQTeQjjDCBAgQIAAAQIE6hAQeOuok1kSIECAAAECBAgUCvwLj5lK09IP928AAAAASUVORK5CYII="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = go.Figure()\n",
    "fig.add_trace(go.Bar(y=data.Country, x=data['2018'],orientation = 'h',\n",
    "                name='2018', text=data['2018']))\n",
    "\n",
    "fig.add_trace(go.Bar(y=data.Country, x=data['2019'],orientation = 'h',\n",
    "                name='2019', text=data['2019']))\n",
    "\n",
    "\n",
    "fig.update_traces(texttemplate='%{text:.2s} %', textposition='outside')\n",
    "fig.update_layout(\n",
    "    title=\"Top 10 countries with highest percentage of developer respondants\",\n",
    "    yaxis_title=\"Country\",\n",
    "    xaxis_title=\"Percentage of Developer Respondants\",\n",
    "    \n",
    ")\n",
    "fig.update_layout(\n",
    "    autosize=False,\n",
    "    width=900,\n",
    "    height=700,)\n",
    "\n",
    "fig.show('png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Types of Developer for each year"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this section we will analyze the developers responds for each year to analyze the growth and distribution. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "data19, data18 = data_handle.make_dev(data_19, data_18) #making dataframe for each year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MainBranch</th>\n",
       "      <th>Employment</th>\n",
       "      <th>Country</th>\n",
       "      <th>EduOther</th>\n",
       "      <th>DevType</th>\n",
       "      <th>JobSat</th>\n",
       "      <th>CompTotal</th>\n",
       "      <th>WorkRemote</th>\n",
       "      <th>LanguageWorkedWith</th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>I am a student who is learning to code</td>\n",
       "      <td>Not employed, but looking for work</td>\n",
       "      <td>Bosnia and Herzegovina</td>\n",
       "      <td>Taken an online course in programming or softw...</td>\n",
       "      <td>Developer, desktop or enterprise applications</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C++;HTML/CSS;Python</td>\n",
       "      <td>19.0</td>\n",
       "      <td>Man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>I am a student who is learning to code</td>\n",
       "      <td>Not employed, but looking for work</td>\n",
       "      <td>Bosnia and Herzegovina</td>\n",
       "      <td>Taken an online course in programming or softw...</td>\n",
       "      <td>Developer, front-end</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C++;HTML/CSS;Python</td>\n",
       "      <td>19.0</td>\n",
       "      <td>Man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>I am not primarily a developer, but I write co...</td>\n",
       "      <td>Employed full-time</td>\n",
       "      <td>Thailand</td>\n",
       "      <td>Taught yourself a new language, framework, or ...</td>\n",
       "      <td>Designer</td>\n",
       "      <td>Slightly satisfied</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>Less than once per month / Never</td>\n",
       "      <td>HTML/CSS</td>\n",
       "      <td>28.0</td>\n",
       "      <td>Man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>I am not primarily a developer, but I write co...</td>\n",
       "      <td>Employed full-time</td>\n",
       "      <td>Thailand</td>\n",
       "      <td>Taught yourself a new language, framework, or ...</td>\n",
       "      <td>Developer, back-end</td>\n",
       "      <td>Slightly satisfied</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>Less than once per month / Never</td>\n",
       "      <td>HTML/CSS</td>\n",
       "      <td>28.0</td>\n",
       "      <td>Man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>I am not primarily a developer, but I write co...</td>\n",
       "      <td>Employed full-time</td>\n",
       "      <td>Thailand</td>\n",
       "      <td>Taught yourself a new language, framework, or ...</td>\n",
       "      <td>Developer, front-end</td>\n",
       "      <td>Slightly satisfied</td>\n",
       "      <td>23000.0</td>\n",
       "      <td>Less than once per month / Never</td>\n",
       "      <td>HTML/CSS</td>\n",
       "      <td>28.0</td>\n",
       "      <td>Man</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          MainBranch  \\\n",
       "0             I am a student who is learning to code   \n",
       "1             I am a student who is learning to code   \n",
       "2  I am not primarily a developer, but I write co...   \n",
       "3  I am not primarily a developer, but I write co...   \n",
       "4  I am not primarily a developer, but I write co...   \n",
       "\n",
       "                           Employment                 Country  \\\n",
       "0  Not employed, but looking for work  Bosnia and Herzegovina   \n",
       "1  Not employed, but looking for work  Bosnia and Herzegovina   \n",
       "2                  Employed full-time                Thailand   \n",
       "3                  Employed full-time                Thailand   \n",
       "4                  Employed full-time                Thailand   \n",
       "\n",
       "                                            EduOther  \\\n",
       "0  Taken an online course in programming or softw...   \n",
       "1  Taken an online course in programming or softw...   \n",
       "2  Taught yourself a new language, framework, or ...   \n",
       "3  Taught yourself a new language, framework, or ...   \n",
       "4  Taught yourself a new language, framework, or ...   \n",
       "\n",
       "                                         DevType              JobSat  \\\n",
       "0  Developer, desktop or enterprise applications                 NaN   \n",
       "1                           Developer, front-end                 NaN   \n",
       "2                                       Designer  Slightly satisfied   \n",
       "3                            Developer, back-end  Slightly satisfied   \n",
       "4                           Developer, front-end  Slightly satisfied   \n",
       "\n",
       "   CompTotal                        WorkRemote   LanguageWorkedWith   Age  \\\n",
       "0        NaN                               NaN  C++;HTML/CSS;Python  19.0   \n",
       "1        NaN                               NaN  C++;HTML/CSS;Python  19.0   \n",
       "2    23000.0  Less than once per month / Never             HTML/CSS  28.0   \n",
       "3    23000.0  Less than once per month / Never             HTML/CSS  28.0   \n",
       "4    23000.0  Less than once per month / Never             HTML/CSS  28.0   \n",
       "\n",
       "  Gender  \n",
       "0    Man  \n",
       "1    Man  \n",
       "2    Man  \n",
       "3    Man  \n",
       "4    Man  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data19.head()#view the dataset created"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cleaning the developer columns in each year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "data19.DevType.replace({'Developer, front-end': 'Front-end developer','Developer, full-stack':'Full-stack developer',\n",
    "                        'Developer, back-end':'Back-end developer', 'Developer, mobile' : 'Mobile developer',\n",
    "                        'Engineer, data':'Data Engineer','Educator':'Educator or academic researcher',\n",
    "                        'Developer, game or graphics':'Game or graphics developer',\n",
    "                        'Developer, QA or test':'QA or test developer','Academic researcher':'Educator or academic researcher',\n",
    "                        'Developer, embedded applications or devices':'Embedded applications or devices developer',\n",
    "                        'Scientist':'Other','Senior executive/VP':'Other','Engineer, site reliability':'Other',\n",
    "                        'Developer, desktop or enterprise applications':'Desktop or enterprise applications developer'},inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "data18.DevType.replace({'C-suite executive (CEO, CTO, etc.)':'Other',},inplace = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing the developer types"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After cleaning we visualize the dataframes (data19 and data18) with histogram plot,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plotly graph objects figures\n",
    "fig = go.Figure()\n",
    "fig.add_trace(go.Histogram(histnorm='percent',x=data18.DevType, marker=dict(color=\"DarkOrange\"),\n",
    "                name='2018'))\n",
    "\n",
    "fig.add_trace(go.Histogram(histnorm='percent',x=data19.DevType, marker=dict(color=\"LightSeaGreen\"),\n",
    "                name='2019'))\n",
    "\n",
    "\n",
    "fig.update_layout(\n",
    "    title=\"Types of developers\",\n",
    "    xaxis_title=\"Developers\",    \n",
    ")\n",
    "\n",
    "fig.update_layout(\n",
    "    autosize=False,\n",
    "    width=1200,\n",
    "    height=650,)\n",
    "\n",
    "fig.show('jpeg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Developers at country level"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can have a quick look of missing data, to decide how to further preprocess with the following function and uncommenting by removing '#' from below two cells."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "#data_handle.plot_missing(data_19)#Check Missing data in 2019"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#data_handle.plot_missing(data_18)#Check Missing data in 2018"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create column with values of the corresponding year\n",
    "data19['year'] = '2019'\n",
    "data18['year'] = '2018'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create Sunburst data for the sunburst plot \n",
    "sun_data19 = pd.DataFrame(data19.groupby(['Country', 'year','DevType','Gender'], ).size())\n",
    "sun_data19 = sun_data19.rename(columns={0: \"Counts\"})\n",
    "sun_data19.reset_index(inplace=True)\n",
    "\n",
    "sun_data18 = pd.DataFrame(data18.groupby(['Country', 'year','DevType','Gender'], ).size())\n",
    "sun_data18 = sun_data18.rename(columns={0: \"Counts\"})\n",
    "sun_data18.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Cleaning the data\n",
    "sun_data19.Gender.replace({'Man':'Male','Woman':'Female',\n",
    "                           'Non-binary, genderqueer, or gender non-conforming':'Other',\n",
    "                           'Woman;Man':'Other',\n",
    "                           'Man;Non-binary, genderqueer, or gender non-conforming':'Other',\n",
    "                           'Woman;Man;Non-binary, genderqueer, or gender non-conforming':'Other',\n",
    "                           'Woman;Non-binary, genderqueer, or gender non-conforming':'Other',}, inplace = True)\n",
    "\n",
    "sun_data18.Gender.replace({'Non-binary, genderqueer, or gender non-conforming':'Other',\n",
    "                           'Female;Male;Transgender;Non-binary, genderqueer, or gender non-conforming':'Other',\n",
    "                           'Male;Non-binary, genderqueer, or gender non-conforming':'Other',\n",
    "                          'Female;Male':'Other','Transgender':'Other','Female;Transgender':'Other',\n",
    "                          'Transgender;Non-binary, genderqueer, or gender non-conforming':'Other',\n",
    "                           'Female;Non-binary, genderqueer, or gender non-conforming':'Other',\n",
    "                           'Male;Transgender':'Other','Female;Transgender;Non-binary, genderqueer, or gender non-conforming':'Other',\n",
    "                           'Female;Male;Transgender':'Other','Female;Male;Non-binary, genderqueer, or gender non-conforming':'Other',\n",
    "                           'Male;Transgender;Non-binary, genderqueer, or gender non-conforming':'Other'\n",
    "                          },inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Filtering top 5 Countries referenced from the first plot\n",
    "countries = ['India','United States','United Kingdom','Canada','Germany']\n",
    "df_sunburst19 = pd.DataFrame(sun_data19[sun_data19.Country.isin(countries)])\n",
    "df_sunburst18 = pd.DataFrame(sun_data18[sun_data18.Country.isin(countries)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>year</th>\n",
       "      <th>DevType</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Counts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>975</th>\n",
       "      <td>Canada</td>\n",
       "      <td>2019</td>\n",
       "      <td>Back-end developer</td>\n",
       "      <td>Male</td>\n",
       "      <td>1307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>976</th>\n",
       "      <td>Canada</td>\n",
       "      <td>2019</td>\n",
       "      <td>Back-end developer</td>\n",
       "      <td>Other</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>977</th>\n",
       "      <td>Canada</td>\n",
       "      <td>2019</td>\n",
       "      <td>Back-end developer</td>\n",
       "      <td>Other</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>978</th>\n",
       "      <td>Canada</td>\n",
       "      <td>2019</td>\n",
       "      <td>Back-end developer</td>\n",
       "      <td>Female</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>979</th>\n",
       "      <td>Canada</td>\n",
       "      <td>2019</td>\n",
       "      <td>Back-end developer</td>\n",
       "      <td>Other</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Country  year             DevType  Gender  Counts\n",
       "975  Canada  2019  Back-end developer    Male    1307\n",
       "976  Canada  2019  Back-end developer   Other       1\n",
       "977  Canada  2019  Back-end developer   Other       9\n",
       "978  Canada  2019  Back-end developer  Female     105\n",
       "979  Canada  2019  Back-end developer   Other       1"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_sunburst19.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Change the count column to percentages\n",
    "df_sunburst19['Counts'] = 100*(df_sunburst19['Counts']/df_sunburst19['Counts'].sum())\n",
    "df_sunburst18['Counts'] = 100*(df_sunburst18['Counts']/df_sunburst18['Counts'].sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Displaying the sunburst\n",
    "This is a hierarichal display of Country > Types of Developers > Gender. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig1 = px.sunburst(df_sunburst19, path=['year','Country', 'DevType', 'Gender'], values='Counts',\n",
    "    maxdepth=2)\n",
    "fig1.update_layout(autosize=False,width=650,height=650)\n",
    "fig1.show('png')#delete png while running, this is done to display in github(change fig.show('png') to fig.show())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig2 = px.sunburst(df_sunburst18, path=['year','Country', 'DevType', 'Gender'], values='Counts',\n",
    "    maxdepth=2)\n",
    "fig2.update_layout(autosize=False,width=650,height=650)\n",
    "fig2.show('png')#delete png while running this is done to display in github"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Languages used in 2018-2019\n",
    "Analyzing the language trends for the year 2018-2019."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Language dataframe\n",
    "lang19, lang18 = data_handle.make_lang(data_19, data_18)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "lang19.LanguageWorkedWith.replace({\"Bash/Shell/PowerShell\":\"Bash/Shell\",\n",
    "                                 }, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MainBranch</th>\n",
       "      <th>Employment</th>\n",
       "      <th>Country</th>\n",
       "      <th>EduOther</th>\n",
       "      <th>DevType</th>\n",
       "      <th>JobSat</th>\n",
       "      <th>CompTotal</th>\n",
       "      <th>WorkRemote</th>\n",
       "      <th>LanguageWorkedWith</th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>I am a student who is learning to code</td>\n",
       "      <td>Not employed, and not looking for work</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>Taught yourself a new language, framework, or ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>HTML/CSS</td>\n",
       "      <td>14.0</td>\n",
       "      <td>Man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>I am a student who is learning to code</td>\n",
       "      <td>Not employed, and not looking for work</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>Taught yourself a new language, framework, or ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Java</td>\n",
       "      <td>14.0</td>\n",
       "      <td>Man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>I am a student who is learning to code</td>\n",
       "      <td>Not employed, and not looking for work</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>Taught yourself a new language, framework, or ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>JavaScript</td>\n",
       "      <td>14.0</td>\n",
       "      <td>Man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>I am a student who is learning to code</td>\n",
       "      <td>Not employed, and not looking for work</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>Taught yourself a new language, framework, or ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Python</td>\n",
       "      <td>14.0</td>\n",
       "      <td>Man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>I am a student who is learning to code</td>\n",
       "      <td>Not employed, but looking for work</td>\n",
       "      <td>Bosnia and Herzegovina</td>\n",
       "      <td>Taken an online course in programming or softw...</td>\n",
       "      <td>Developer, desktop or enterprise applications;...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C++</td>\n",
       "      <td>19.0</td>\n",
       "      <td>Man</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               MainBranch  \\\n",
       "0  I am a student who is learning to code   \n",
       "1  I am a student who is learning to code   \n",
       "2  I am a student who is learning to code   \n",
       "3  I am a student who is learning to code   \n",
       "4  I am a student who is learning to code   \n",
       "\n",
       "                               Employment                 Country  \\\n",
       "0  Not employed, and not looking for work          United Kingdom   \n",
       "1  Not employed, and not looking for work          United Kingdom   \n",
       "2  Not employed, and not looking for work          United Kingdom   \n",
       "3  Not employed, and not looking for work          United Kingdom   \n",
       "4      Not employed, but looking for work  Bosnia and Herzegovina   \n",
       "\n",
       "                                            EduOther  \\\n",
       "0  Taught yourself a new language, framework, or ...   \n",
       "1  Taught yourself a new language, framework, or ...   \n",
       "2  Taught yourself a new language, framework, or ...   \n",
       "3  Taught yourself a new language, framework, or ...   \n",
       "4  Taken an online course in programming or softw...   \n",
       "\n",
       "                                             DevType JobSat  CompTotal  \\\n",
       "0                                                NaN    NaN        NaN   \n",
       "1                                                NaN    NaN        NaN   \n",
       "2                                                NaN    NaN        NaN   \n",
       "3                                                NaN    NaN        NaN   \n",
       "4  Developer, desktop or enterprise applications;...    NaN        NaN   \n",
       "\n",
       "  WorkRemote LanguageWorkedWith   Age Gender  \n",
       "0        NaN           HTML/CSS  14.0    Man  \n",
       "1        NaN               Java  14.0    Man  \n",
       "2        NaN         JavaScript  14.0    Man  \n",
       "3        NaN             Python  14.0    Man  \n",
       "4        NaN                C++  19.0    Man  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lang19.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig4 = go.Figure()\n",
    "\n",
    "\n",
    "fig4.add_trace(go.Histogram(histnorm='percent',x=lang18.LanguageWorkedWith, marker=dict(color=\"DarkBlue\"),\n",
    "                name='2018'))\n",
    "\n",
    "fig4.add_trace(go.Histogram(histnorm='percent',x=lang19.LanguageWorkedWith, marker=dict(color=\"Pink\"),\n",
    "                name='2019'))\n",
    "\n",
    "\n",
    "fig4.update_layout(\n",
    "    title=\"Language usage percentage for year 2018-19\",\n",
    "    xaxis_title=\"Languages\",    \n",
    ")\n",
    "\n",
    "fig4.update_layout(\n",
    "    autosize=False,\n",
    "    width=1200,\n",
    "    height=650,)\n",
    "\n",
    "fig4.show('png')#delete png while running this is done to display in github"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Skills-Training \n",
    "Here we analyze the skills acquired from various resources and their distribution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "edu19 , edu18 = data_handle.make_edu(data_19,data_18)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "#edu19.EduOther.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "#edu18.EducationTypes.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig5 = go.Figure()\n",
    "fig5.add_trace(go.Histogram(histnorm='percent',y=edu18.EducationTypes, marker=dict(color=\"Black\"),\n",
    "                name='2018'))\n",
    "\n",
    "fig5.add_trace(go.Histogram(histnorm='percent',y=edu19.EduOther, marker=dict(color=\"LightGreen\"),\n",
    "                name='2019'))\n",
    "\n",
    "fig5.update_layout(\n",
    "    title=\"Skills and Trainings taken 2018-2019\"   \n",
    ")\n",
    "\n",
    "fig5.update_layout(\n",
    "    autosize=False,\n",
    "    width=1200,\n",
    "    height=650,\n",
    ")\n",
    "\n",
    "fig5.show('png')#delete png while running this is done to display in github"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## End\n",
    "\n",
    "Thank you!<br>\n",
    "Author: Pratik Kumar"
   ]
  }
 ],
 "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": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}