Final Assignment_StephaneDEDIEU.ipynb

{
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center>\n",
    "    <img src=\"https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/Logos/organization_logo/organization_logo.png\" width=\"300\" alt=\"cognitiveclass.ai logo\"  />\n",
    "</center>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>Extracting and Visualizing Stock Data</h1>\n",
    "\n",
    "<h3>Stephane DEDIEU, April 27th, 2022  </h3>\n",
    "<h3> Course: Python Project for Data Science<h3>\n",
    "\n",
    "## <span style='color:#8B0000'>  Preliminary remark. </span> \n",
    "      \n",
    "#### <span style=\"color:#8B0000\">  *My IBM Cloud trial period is over, and I was unable to reactivate it with the code provided in this course. Therefore I am unable to add this notebook to Watson Studio. For that reason, I shared it on my Github account. I apologize for the inconvenience.*          </span>\n",
    "    \n",
    "<h2>Description</h2>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Extracting essential data from a dataset and displaying it is a necessary part of data science; therefore individuals can make correct decisions based on the data. In this assignment, you will extract some stock data, you will then display this data in a graph.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>Table of Contents</h2>\n",
    "<div class=\"alert alert-block alert-info\" style=\"margin-top: 20px\">\n",
    "    <ul>\n",
    "        <li>Define a Function that Makes a Graph</li>\n",
    "        <li>Question 1: Use yfinance to Extract Stock Data</li>\n",
    "        <li>Question 2: Use Webscraping to Extract Tesla Revenue Data</li>\n",
    "        <li>Question 3: Use yfinance to Extract Stock Data</li>\n",
    "        <li>Question 4: Use Webscraping to Extract GME Revenue Data</li>\n",
    "        <li>Question 5: Plot Tesla Stock Graph</li>\n",
    "        <li>Question 6: Plot GameStop Stock Graph</li>\n",
    "    </ul>\n",
    "<p>\n",
    "    Estimated Time Needed: <strong>30 min</strong></p>\n",
    "</div>\n",
    "\n",
    "<hr>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install yfinance==0.1.67\n",
    "#!pip install pandas==1.3.3\n",
    "#!pip install requests==2.26.0\n",
    "!mamba install bs4==4.10.0 -y\n",
    "#!pip install plotly==5.3.1\n",
    "\n",
    "!pip install jupyterlab \"ipywidgets>=7.5\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "import yfinance as yf\n",
    "import pandas as pd\n",
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "import plotly.graph_objects as go\n",
    "from plotly.subplots import make_subplots\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define Graphing Function\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this section, we define the function `make_graph`. You don't have to know how the function works, you should only care about the inputs. It takes a dataframe with stock data (dataframe must contain Date and Close columns), a dataframe with revenue data (dataframe must contain Date and Revenue columns), and the name of the stock.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_graph(stock_data, revenue_data, stock):\n",
    "    fig = make_subplots(rows=2, cols=1, shared_xaxes=True, subplot_titles=(\"Historical Share Price\", \"Historical Revenue\"), vertical_spacing = .3)\n",
    "    stock_data_specific = stock_data[stock_data.Date <= '2021-06-14']\n",
    "    revenue_data_specific = revenue_data[revenue_data.Date <= '2021-04-30']\n",
    "    fig.add_trace(go.Scatter(x=pd.to_datetime(stock_data_specific.Date, infer_datetime_format=True), y=stock_data_specific.Close.astype(\"float\"), name=\"Share Price\"), row=1, col=1)\n",
    "    fig.add_trace(go.Scatter(x=pd.to_datetime(revenue_data_specific.Date, infer_datetime_format=True), y=revenue_data_specific.Revenue.astype(\"float\"), name=\"Revenue\"), row=2, col=1)\n",
    "    fig.update_xaxes(title_text=\"Date\", row=1, col=1)\n",
    "    fig.update_xaxes(title_text=\"Date\", row=2, col=1)\n",
    "    fig.update_yaxes(title_text=\"Price ($US)\", row=1, col=1)\n",
    "    fig.update_yaxes(title_text=\"Revenue ($US Millions)\", row=2, col=1)\n",
    "    fig.update_layout(showlegend=True,\n",
    "    height=900,\n",
    "    title=stock,\n",
    "    xaxis_rangeslider_visible=True)\n",
    "    #fig.show()\n",
    "    fig.show(\"jupyterlab\")   # for diplaying graphs in Github "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Question 1: Use yfinance to Extract Stock Data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the `Ticker` function enter the ticker symbol of the stock we want to extract data on to create a ticker object. The stock is Tesla and its ticker symbol is `TSLA`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "tsla = yf.Ticker(\"TSLA\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the ticker object and the function `history` extract stock information and save it in a dataframe named `tesla_data`. Set the `period` parameter to `max` so we get information for the maximum amount of time.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "tsla_share_price_data = tsla.history(period=\"max\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Reset the index** using the `reset_index(inplace=True)` function on the tesla_data DataFrame and display the first five rows of the `tesla_data` dataframe using the `head` function. Take a screenshot of the results and code from the beginning of Question 1 to the results below.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Dividends</th>\n",
       "      <th>Stock Splits</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2010-06-29</td>\n",
       "      <td>3.800</td>\n",
       "      <td>5.000</td>\n",
       "      <td>3.508</td>\n",
       "      <td>4.778</td>\n",
       "      <td>93831500</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010-06-30</td>\n",
       "      <td>5.158</td>\n",
       "      <td>6.084</td>\n",
       "      <td>4.660</td>\n",
       "      <td>4.766</td>\n",
       "      <td>85935500</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2010-07-01</td>\n",
       "      <td>5.000</td>\n",
       "      <td>5.184</td>\n",
       "      <td>4.054</td>\n",
       "      <td>4.392</td>\n",
       "      <td>41094000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2010-07-02</td>\n",
       "      <td>4.600</td>\n",
       "      <td>4.620</td>\n",
       "      <td>3.742</td>\n",
       "      <td>3.840</td>\n",
       "      <td>25699000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2010-07-06</td>\n",
       "      <td>4.000</td>\n",
       "      <td>4.000</td>\n",
       "      <td>3.166</td>\n",
       "      <td>3.222</td>\n",
       "      <td>34334500</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Date   Open   High    Low  Close    Volume  Dividends  Stock Splits\n",
       "0 2010-06-29  3.800  5.000  3.508  4.778  93831500          0           0.0\n",
       "1 2010-06-30  5.158  6.084  4.660  4.766  85935500          0           0.0\n",
       "2 2010-07-01  5.000  5.184  4.054  4.392  41094000          0           0.0\n",
       "3 2010-07-02  4.600  4.620  3.742  3.840  25699000          0           0.0\n",
       "4 2010-07-06  4.000  4.000  3.166  3.222  34334500          0           0.0"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tsla_share_price_data.reset_index(inplace=True)\n",
    "tsla_share_price_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Question 2: Use Webscraping to Extract Tesla Revenue Data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use the `requests` library to download the webpage [https://www.macrotrends.net/stocks/charts/TSLA/tesla/revenue](https://www.macrotrends.net/stocks/charts/TSLA/tesla/revenue?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkPY0220ENSkillsNetwork23455606-2021-01-01). Save the text of the response as a variable named `html_data`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "url=\"https://www.macrotrends.net/stocks/charts/TSLA/tesla/revenue?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkPY0220ENSkillsNetwork23455606-2021-01-01\"\n",
    "html_data  = requests.get(url).text"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Parse the html data using `beautiful_soup`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#soup = BeautifulSoup(html_data, 'html5lib')\n",
    "soup = BeautifulSoup(html_data, \"html.parser\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using `BeautifulSoup` or the `read_html` function extract the table with `Tesla Quarterly Revenue` and store it into a dataframe named `tesla_revenue`. The dataframe should have columns `Date` and `Revenue`.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<details><summary>Click here if you need help locating the table</summary>\n",
    "\n",
    "```\n",
    "    \n",
    "Below is the code to isolate the table, you will now need to loop through the rows and columns like in the previous lab\n",
    "    \n",
    "soup.find_all(\"tbody\")[1]\n",
    "    \n",
    "If you want to use the read_html function the table is located at index 1\n",
    "\n",
    "\n",
    "```\n",
    "\n",
    "</details>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "####   <span style='color:#1E90FF'>  *We use a technique learned in the Web scrapping lab. (1)  We determine the number of tables on the webpage, and (2) the index of the table of interest: \"Tesla Quarter Revenue\".*  </span>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of Tables: 6\n",
      "Quaterly Revenue Table Index= 1\n"
     ]
    }
   ],
   "source": [
    "tables = soup.find_all('table')\n",
    "print(\"Number of Tables:\", len(tables))\n",
    "\n",
    "for index,table in enumerate(tables):\n",
    "    if (\"Tesla Quarterly Revenue\" in str(table)):\n",
    "        table_index = index\n",
    "print(\"Quaterly Revenue Table Index=\", table_index)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "####  <span style='color:#1E90FF'>  * We find the index of the table of interest to be 1.  (3) We build the dataframe after table with  table_index=1.*  </span>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Revenue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-03-31</td>\n",
       "      <td>$18,756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-12-31</td>\n",
       "      <td>$15,339</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date  Revenue\n",
       "0  2022-03-31  $18,756\n",
       "1  2021-12-31  $15,339"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#print(tables[table_index].prettify())\n",
    "tesla_revenue = pd.DataFrame(columns=[\"Date\", \"Revenue\"])\n",
    "\n",
    "for row in tables[table_index].tbody.find_all(\"tr\"):\n",
    "    col = row.find_all(\"td\")\n",
    "    if (col != []):\n",
    "        Date = col[0].text\n",
    "        Revenue = col[1].text\n",
    "\n",
    "        tesla_revenue = tesla_revenue.append({\"Date\":Date, \"Revenue\":Revenue}, ignore_index=True)\n",
    "\n",
    "tesla_revenue.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Execute the following line to remove the comma and dollar sign from the `Revenue` column.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/ipykernel_launcher.py:1: FutureWarning: The default value of regex will change from True to False in a future version.\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "tesla_revenue[\"Revenue\"] = tesla_revenue['Revenue'].str.replace(',|\\$',\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Execute the following lines to remove an null or empty strings in the Revenue column.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "tesla_revenue.dropna(inplace=True)\n",
    "\n",
    "tesla_revenue = tesla_revenue[tesla_revenue['Revenue'] != \"\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Display the last 5 row of the `tesla_revenue` dataframe using the `tail` function. Take a screenshot of the results.\n",
    "\n",
    "####   <span style='color:#1E90FF'>  *Note that the unit in the Revenue column is: millions of $.*  </span>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Revenue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2010-09-30</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2010-06-30</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>2010-03-31</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>2009-09-30</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>2009-06-30</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date Revenue\n",
       "46  2010-09-30      31\n",
       "47  2010-06-30      28\n",
       "48  2010-03-31      21\n",
       "50  2009-09-30      46\n",
       "51  2009-06-30      27"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tesla_revenue.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Question 3: Use yfinance to Extract Stock Data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the `Ticker` function enter the ticker symbol of the stock we want to extract data on to create a ticker object. The stock is GameStop and its ticker symbol is `GME`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "gme = yf.Ticker(\"GME\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the ticker object and the function `history` extract stock information and save it in a dataframe named `gme_data`. Set the `period` parameter to `max` so we get information for the maximum amount of time.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "gme_share_price_data = gme.history(period=\"max\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Reset the index** using the `reset_index(inplace=True)` function on the gme_data DataFrame and display the first five rows of the `gme_data` dataframe using the `head` function. Take a screenshot of the results and code from the beginning of Question 3 to the results below.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<style scoped>\n",
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       "    }\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>Date</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Dividends</th>\n",
       "      <th>Stock Splits</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2002-02-13</td>\n",
       "      <td>6.480514</td>\n",
       "      <td>6.773400</td>\n",
       "      <td>6.413183</td>\n",
       "      <td>6.766666</td>\n",
       "      <td>19054000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2002-02-14</td>\n",
       "      <td>6.850830</td>\n",
       "      <td>6.864296</td>\n",
       "      <td>6.682505</td>\n",
       "      <td>6.733002</td>\n",
       "      <td>2755400</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2002-02-15</td>\n",
       "      <td>6.733001</td>\n",
       "      <td>6.749833</td>\n",
       "      <td>6.632006</td>\n",
       "      <td>6.699336</td>\n",
       "      <td>2097400</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2002-02-19</td>\n",
       "      <td>6.665672</td>\n",
       "      <td>6.665672</td>\n",
       "      <td>6.312189</td>\n",
       "      <td>6.430017</td>\n",
       "      <td>1852600</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2002-02-20</td>\n",
       "      <td>6.463682</td>\n",
       "      <td>6.648839</td>\n",
       "      <td>6.413184</td>\n",
       "      <td>6.648839</td>\n",
       "      <td>1723200</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Date      Open      High       Low     Close    Volume  Dividends  \\\n",
       "0 2002-02-13  6.480514  6.773400  6.413183  6.766666  19054000        0.0   \n",
       "1 2002-02-14  6.850830  6.864296  6.682505  6.733002   2755400        0.0   \n",
       "2 2002-02-15  6.733001  6.749833  6.632006  6.699336   2097400        0.0   \n",
       "3 2002-02-19  6.665672  6.665672  6.312189  6.430017   1852600        0.0   \n",
       "4 2002-02-20  6.463682  6.648839  6.413184  6.648839   1723200        0.0   \n",
       "\n",
       "   Stock Splits  \n",
       "0           0.0  \n",
       "1           0.0  \n",
       "2           0.0  \n",
       "3           0.0  \n",
       "4           0.0  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gme_share_price_data.reset_index(inplace=True)\n",
    "gme_share_price_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Question 4: Use Webscraping to Extract GME Revenue Data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use the `requests` library to download the webpage <https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-PY0220EN-SkillsNetwork/labs/project/stock.html>. Save the text of the response as a variable named `html_data`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "url=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-PY0220EN-SkillsNetwork/labs/project/stock.html\"\n",
    "\n",
    "gme_html_data  = requests.get(url).text"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Parse the html data using `beautiful_soup`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "gme_soup = BeautifulSoup(gme_html_data, 'html.parser')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using `BeautifulSoup` or the `read_html` function extract the table with `GameStop Quarterly Revenue` and store it into a dataframe named `gme_revenue`. The dataframe should have columns `Date` and `Revenue`. Make sure the comma and dollar sign is removed from the `Revenue` column using a method similar to what you did in Question 2.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<details><summary>Click here if you need help locating the table</summary>\n",
    "\n",
    "```\n",
    "    \n",
    "Below is the code to isolate the table, you will now need to loop through the rows and columns like in the previous lab\n",
    "    \n",
    "soup.find_all(\"tbody\")[1]\n",
    "    \n",
    "If you want to use the read_html function the table is located at index 1\n",
    "\n",
    "\n",
    "```\n",
    "\n",
    "</details>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of Tables: 6\n",
      "Quaterly Revenue Table Index= 1\n"
     ]
    }
   ],
   "source": [
    "tables = gme_soup.find_all('table')\n",
    "print(\"Number of Tables:\", len(tables))\n",
    "\n",
    "for index,table in enumerate(tables):\n",
    "    if (\"GameStop Quarterly Revenue\" in str(table)):\n",
    "        table_index = index\n",
    "print(\"Quaterly Revenue Table Index=\", table_index)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>Date</th>\n",
       "      <th>Revenue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-04-30</td>\n",
       "      <td>$1,021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-01-31</td>\n",
       "      <td>$2,194</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date Revenue\n",
       "0  2020-04-30  $1,021\n",
       "1  2020-01-31  $2,194"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#print(tables[table_index].prettify())\n",
    "gme_revenue = pd.DataFrame(columns=[\"Date\", \"Revenue\"])\n",
    "\n",
    "for row in tables[table_index].tbody.find_all(\"tr\"):\n",
    "    col = row.find_all(\"td\")\n",
    "    if (col != []):\n",
    "        Date = col[0].text\n",
    "        Revenue = col[1].text\n",
    "\n",
    "        gme_revenue = gme_revenue.append({\"Date\":Date, \"Revenue\":Revenue}, ignore_index=True)\n",
    "\n",
    "gme_revenue.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/ipykernel_launcher.py:1: FutureWarning: The default value of regex will change from True to False in a future version.\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "gme_revenue[\"Revenue\"] = gme_revenue['Revenue'].str.replace(',|\\$',\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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>Date</th>\n",
       "      <th>Revenue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-04-30</td>\n",
       "      <td>1021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-01-31</td>\n",
       "      <td>2194</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date Revenue\n",
       "0  2020-04-30    1021\n",
       "1  2020-01-31    2194"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gme_revenue.dropna(inplace=True)\n",
    "gme_revenue = gme_revenue[gme_revenue['Revenue'] != \"\"]\n",
    "gme_revenue.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Display the last five rows of the `gme_revenue` dataframe using the `tail` function. Take a screenshot of the results.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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>Date</th>\n",
       "      <th>Revenue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2006-01-31</td>\n",
       "      <td>1667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2005-10-31</td>\n",
       "      <td>534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2005-07-31</td>\n",
       "      <td>416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>2005-04-30</td>\n",
       "      <td>475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>2005-01-31</td>\n",
       "      <td>709</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date Revenue\n",
       "57  2006-01-31    1667\n",
       "58  2005-10-31     534\n",
       "59  2005-07-31     416\n",
       "60  2005-04-30     475\n",
       "61  2005-01-31     709"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gme_revenue.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Question 5: Plot Tesla Stock Graph\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use the `make_graph` function to graph the Tesla Stock Data, also provide a title for the graph. The structure to call the `make_graph` function is `make_graph(tesla_data, tesla_revenue, 'Tesla')`. Note the graph will only show data upto June 2021."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "name": "Share Price",
         "type": "scatter",
         "x": [
          "2010-06-29T00:00:00",
          "2010-06-30T00:00:00",
          "2010-07-01T00:00:00",
          "2010-07-02T00:00:00",
          "2010-07-06T00:00:00",
          "2010-07-07T00:00:00",
          "2010-07-08T00:00:00",
          "2010-07-09T00:00:00",
          "2010-07-12T00:00:00",
          "2010-07-13T00:00:00",
          "2010-07-14T00:00:00",
          "2010-07-15T00:00:00",
          "2010-07-16T00:00:00",
          "2010-07-19T00:00:00",
          "2010-07-20T00:00:00",
          "2010-07-21T00:00:00",
          "2010-07-22T00:00:00",
          "2010-07-23T00:00:00",
          "2010-07-26T00:00:00",
          "2010-07-27T00:00:00",
          "2010-07-28T00:00:00",
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          "2010-07-30T00:00:00",
          "2010-08-02T00:00:00",
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          "2010-08-04T00:00:00",
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          "2010-08-13T00:00:00",
          "2010-08-16T00:00:00",
          "2010-08-17T00:00:00",
          "2010-08-18T00:00:00",
          "2010-08-19T00:00:00",
          "2010-08-20T00:00:00",
          "2010-08-23T00:00:00",
          "2010-08-24T00:00:00",
          "2010-08-25T00:00:00",
          "2010-08-26T00:00:00",
          "2010-08-27T00:00:00",
          "2010-08-30T00:00:00",
          "2010-08-31T00:00:00",
          "2010-09-01T00:00:00",
          "2010-09-02T00:00:00",
          "2010-09-03T00:00:00",
          "2010-09-07T00:00:00",
          "2010-09-08T00:00:00",
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          "2010-09-10T00:00:00",
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          "2010-09-14T00:00:00",
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          "2010-09-17T00:00:00",
          "2010-09-20T00:00:00",
          "2010-09-21T00:00:00",
          "2010-09-22T00:00:00",
          "2010-09-23T00:00:00",
          "2010-09-24T00:00:00",
          "2010-09-27T00:00:00",
          "2010-09-28T00:00:00",
          "2010-09-29T00:00:00",
          "2010-09-30T00:00:00",
          "2010-10-01T00:00:00",
          "2010-10-04T00:00:00",
          "2010-10-05T00:00:00",
          "2010-10-06T00:00:00",
          "2010-10-07T00:00:00",
          "2010-10-08T00:00:00",
          "2010-10-11T00:00:00",
          "2010-10-12T00:00:00",
          "2010-10-13T00:00:00",
          "2010-10-14T00:00:00",
          "2010-10-15T00:00:00",
          "2010-10-18T00:00:00",
          "2010-10-19T00:00:00",
          "2010-10-20T00:00:00",
          "2010-10-21T00:00:00",
          "2010-10-22T00:00:00",
          "2010-10-25T00:00:00",
          "2010-10-26T00:00:00",
          "2010-10-27T00:00:00",
          "2010-10-28T00:00:00",
          "2010-10-29T00:00:00",
          "2010-11-01T00:00:00",
          "2010-11-02T00:00:00",
          "2010-11-03T00:00:00",
          "2010-11-04T00:00:00",
          "2010-11-05T00:00:00",
          "2010-11-08T00:00:00",
          "2010-11-09T00:00:00",
          "2010-11-10T00:00:00",
          "2010-11-11T00:00:00",
          "2010-11-12T00:00:00",
          "2010-11-15T00:00:00",
          "2010-11-16T00:00:00",
          "2010-11-17T00:00:00",
          "2010-11-18T00:00:00",
          "2010-11-19T00:00:00",
          "2010-11-22T00:00:00",
          "2010-11-23T00:00:00",
          "2010-11-24T00:00:00",
          "2010-11-26T00:00:00",
          "2010-11-29T00:00:00",
          "2010-11-30T00:00:00",
          "2010-12-01T00:00:00",
          "2010-12-02T00:00:00",
          "2010-12-03T00:00:00",
          "2010-12-06T00:00:00",
          "2010-12-07T00:00:00",
          "2010-12-08T00:00:00",
          "2010-12-09T00:00:00",
          "2010-12-10T00:00:00",
          "2010-12-13T00:00:00",
          "2010-12-14T00:00:00",
          "2010-12-15T00:00:00",
          "2010-12-16T00:00:00",
          "2010-12-17T00:00:00",
          "2010-12-20T00:00:00",
          "2010-12-21T00:00:00",
          "2010-12-22T00:00:00",
          "2010-12-23T00:00:00",
          "2010-12-27T00:00:00",
          "2010-12-28T00:00:00",
          "2010-12-29T00:00:00",
          "2010-12-30T00:00:00",
          "2010-12-31T00:00:00",
          "2011-01-03T00:00:00",
          "2011-01-04T00:00:00",
          "2011-01-05T00:00:00",
          "2011-01-06T00:00:00",
          "2011-01-07T00:00:00",
          "2011-01-10T00:00:00",
          "2011-01-11T00:00:00",
          "2011-01-12T00:00:00",
          "2011-01-13T00:00:00",
          "2011-01-14T00:00:00",
          "2011-01-18T00:00:00",
          "2011-01-19T00:00:00",
          "2011-01-20T00:00:00",
          "2011-01-21T00:00:00",
          "2011-01-24T00:00:00",
          "2011-01-25T00:00:00",
          "2011-01-26T00:00:00",
          "2011-01-27T00:00:00",
          "2011-01-28T00:00:00",
          "2011-01-31T00:00:00",
          "2011-02-01T00:00:00",
          "2011-02-02T00:00:00",
          "2011-02-03T00:00:00",
          "2011-02-04T00:00:00",
          "2011-02-07T00:00:00",
          "2011-02-08T00:00:00",
          "2011-02-09T00:00:00",
          "2011-02-10T00:00:00",
          "2011-02-11T00:00:00",
          "2011-02-14T00:00:00",
          "2011-02-15T00:00:00",
          "2011-02-16T00:00:00",
          "2011-02-17T00:00:00",
          "2011-02-18T00:00:00",
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          "2011-06-08T00:00:00",
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          "2011-06-29T00:00:00",
          "2011-06-30T00:00:00",
          "2011-07-01T00:00:00",
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          "2011-07-06T00:00:00",
          "2011-07-07T00:00:00",
          "2011-07-08T00:00:00",
          "2011-07-11T00:00:00",
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          "2011-07-13T00:00:00",
          "2011-07-14T00:00:00",
          "2011-07-15T00:00:00",
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          "2011-07-19T00:00:00",
          "2011-07-20T00:00:00",
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          "2011-07-22T00:00:00",
          "2011-07-25T00:00:00",
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          "2011-07-27T00:00:00",
          "2011-07-28T00:00:00",
          "2011-07-29T00:00:00",
          "2011-08-01T00:00:00",
          "2011-08-02T00:00:00",
          "2011-08-03T00:00:00",
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          "2011-08-10T00:00:00",
          "2011-08-11T00:00:00",
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          "2011-08-25T00:00:00",
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          "2011-08-29T00:00:00",
          "2011-08-30T00:00:00",
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          "2011-09-01T00:00:00",
          "2011-09-02T00:00:00",
          "2011-09-06T00:00:00",
          "2011-09-07T00:00:00",
          "2011-09-08T00:00:00",
          "2011-09-09T00:00:00",
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          "2011-09-26T00:00:00",
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          "2011-10-11T00:00:00",
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          "2011-10-25T00:00:00",
          "2011-10-26T00:00:00",
          "2011-10-27T00:00:00",
          "2011-10-28T00:00:00",
          "2011-10-31T00:00:00",
          "2011-11-01T00:00:00",
          "2011-11-02T00:00:00",
          "2011-11-03T00:00:00",
          "2011-11-04T00:00:00",
          "2011-11-07T00:00:00",
          "2011-11-08T00:00:00",
          "2011-11-09T00:00:00",
          "2011-11-10T00:00:00",
          "2011-11-11T00:00:00",
          "2011-11-14T00:00:00",
          "2011-11-15T00:00:00",
          "2011-11-16T00:00:00",
          "2011-11-17T00:00:00",
          "2011-11-18T00:00:00",
          "2011-11-21T00:00:00",
          "2011-11-22T00:00:00",
          "2011-11-23T00:00:00",
          "2011-11-25T00:00:00",
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          "2011-11-29T00:00:00",
          "2011-11-30T00:00:00",
          "2011-12-01T00:00:00",
          "2011-12-02T00:00:00",
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          "2011-12-07T00:00:00",
          "2011-12-08T00:00:00",
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          "2011-12-13T00:00:00",
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          "2012-01-03T00:00:00",
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         "autorange": true,
         "domain": [
          0,
          0.35
         ],
         "range": [
          -555,
          10965
         ],
         "title": {
          "text": "Revenue ($US Millions)"
         },
         "type": "linear"
        }
       }
      },
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABD4AAAOECAYAAABJofFIAAAAAXNSR0IArs4c6QAAIABJREFUeF7svQ+UXVWd7/m7VRVSQTGFqBTRXgnoeyTjSMAZhvBm0UA36yHw7DRZL6K4BiQIaLofsCJiSI+ZNXEmpiNmCdMTFCQIsxqVvBUafYD0sgWaNU8Y1ojBdhJ6CSSrFQtaTCFKKiFVd9bvXHbl1Mm9df/se+79/c753GUWVt2zz/ntz3ffVM6n9t6nUq1Wq8ILAhCAAAQgAAEIQAACEIAABCAAAQgUkEAF8VHAVOkSBCAAAQhAAAIQgAAEIAABCEAAAgkBxAcDAQIQgAAEIAABCEAAAhCAAAQgAIHCEkB8FDZaOgYBCEAAAhCAAAQgAAEIQAACEIAA4oMxAAEIQAACEIAABCAAAQhAAAIQgEBhCSA+ChstHYMABCAAAQhAAAIQgAAEIAABCEAA8cEYgAAEIAABCEAAAhCAAAQgAAEIQKCwBBAfhY2WjkEAAhCAAAQgAAEIQAACEIAABCCA+GAMQAACEIAABCAAAQhAAAIQgAAEIFBYAoiPwkZLxyAAAQhAAAIQgAAEIAABCEAAAhBAfDAGIAABCEAAAhCAAAQgAAEIQAACECgsAcRHYaOlYxCAAAQgAAEIQAACEIAABCAAAQggPhgDEIAABCAAAQhAAAIQgAAEIAABCBSWAOKjsNHSMQhAAAIQgAAEIAABCEAAAhCAAAQQH4wBCEAAAhCAAAQgAAEIQAACEIAABApLAPFR2GjpGAQgAAEIQAACEIAABCAAAQhAAAKID8YABCAAAQhAAAIQgAAEIAABCEAAAoUlgPgobLR0DAIQgAAEIAABCEAAAhCAAAQgAAHEB2MAAhCAAAQgAAEIQAACEIAABCAAgcISQHwUNlo6BgEIQAACEIAABCAAAQhAAAIQgADigzEAAQhAAAIQgAAEIAABCEAAAhCAQGEJID4KGy0dgwAEIAABCEAAAhCAAAQgAAEIQADxwRiAAAQgAAEIQAACEIAABCAAAQhAoLAEEB+FjZaOQQACEIAABCAAAQhAAAIQgAAEIID4YAxAAAIQgAAEIAABCEAAAhCAAAQgUFgCiI/CRkvHIAABCEAAAhCAAAQgAAEIQAACEEB8MAYgAAEIQAACEIAABCAAAQhAAAIQKCwBxEdho6VjEIAABCAAAQhAAAIQgAAEIAABCCA+GAMQgAAEIAABCEAAAhCAAAQgAAEIFJYA4qOw0dIxCEAAAhCAAAQgAAEIQAACEIAABBAfjAEIQAACEIAABCAAAQhAAAIQgAAECksA8VHYaOkYBCAAAQhAAAIQgAAEIAABCEAAAogPxgAEIAABCEAAAhCAAAQgAAEIQAAChSWA+ChstHQMAhCAAAQgAAEIQAACEIAABCAAAcQHYwACEIAABCAAAQhAAAIQgAAEIACBwhJAfBQ2WjoGAQhAAAIQgAAEIAABCEAAAhCAAOKDMQABCEAAAhCAAAQgAAEIQAACEIBAYQkgProY7Y6HnpDb7v47+cbmz8lJCxd08cycCgIQgAAEIAABCEAAAhCAAAQgAIFOCBRWfGy5fbvcee+DTZlcdN4y2XDDKhkePqrpsc0OQHw0I8T7EIAABCAAAQhAAAIQgAAEIACB3hIorPjIYnxh70tyzY1flY3rrpLTly7OhTLiIxesnBQCEIAABCAAAQhAAAIQgAAEINAxAcRHx+iObIj46CJMTgUBCEAAAhCAAAQgAAEIQAACEOgCAcSHiExMHJT1N2+TB3/45DTSL914pay48KwZiLPLZ05Z8n7Zuul6OXb+MclxWfFR77x6XDeX13RhDHAKCEAAAhCAAAQgAAEIQAACEIBAYQmUXnyEJTAX/OkyWXP1yiTofa+9LqvXfk1OP23x9PdUejz9zO5p0RGkhh4f9gipJz6+ctt35JMrzpve7LReu8KOLjoGAQhAAAIQgAAEIAABCEAAAhDoM4HSiw8VGmOvvHrEBqdpiXHsyDFHiJCQ2yOPPS1nL1uabI7a6lKXp3fulnUb7+DpL30e/FweAhCAAAQgAAEIQAACEIAABIpPoNTiI8zsWPnRc45Y1pLeDPVDJ580vRSm3hKYMEwaiQ/9/hc33zljNC04/jjER/E/X/QQAhCAAAQgAAEIQAACEIAABPpMoNTiI8iNl15+tWEM37plbfIUmHr7dWTlRVZ8BLHym9+Oz5AczPjo86jn8hCAAAQgAAEIQAACEIAABCBQGgKlFh+zzfhoNgKCNHnXO0em9/3Iio9GM0AQH83o8j4EIAABCEAAAhCAAAQgAAEIQKA7BEotPlrdaFQFyc92vSh/vOyUGdSbiY7shqihMeKjO4OXs0AAAhCAAAQgAAEIQAACEIAABJoRKLX4UDhh5sZpH/o3MzY4VSkSnshSb3PTVp7qooLjU9dtkrBcRq8XvsceH82GJu9DAAIQgAAEIAABCEAAAhCAAATiCZRefCjCevt36PevvPSi6cfZ1tsPJP2+Hl9vaUsQHSEqbXPWGR/iqS7xY5czQAACEIAABCAAAQhAAAIQgAAEmhIojfhoSoIDIAABCEAAAhCAAAQgAAEIQAACECgcAcRH4SKlQxCAAAQgAAEIQAACEIAABCAAAQgEAogPxgIEIAABCEAAAhCAAAQgAAEIQAAChSWA+ChstHQMAhCAAAQgAAEIQAACEIAABCAAAcQHYwACEIAABCAAAQhAAAIQgAAEIACBwhJAfBQ2WjoGAQhAAAIQgAAEIAABCEAAAhCAAOKDMQABCEAAAhCAAAQgAAEIQAACEIBAYQkgPgobLR2DAAQgAAEIQAACEIAABCAAAQhAAPHBGIAABCAAAQhAAAIQgAAEIAABCECgsAQQH4WNlo5BAAIQgAAEIAABCEAAAhCAAAQggPhgDEAAAhCAAAQgAAEIQAACEIAABCBQWAKIj8JGS8cgAAEIQAACEIAABCAAAQhAAAIQQHwwBiAAAQhAAAIQgAAEIAABCEAAAhAoLAHER2GjpWMQgAAEIAABCEAAAhCAAAQgAAEIID4YAxCAAAQgAAEIQAACEIAABCAAAQgUlgDio7DR0jEIQAACEIAABCAAAQhAAAIQgAAEEB+MAQhAAAIQgAAEIAABCEAAAhCAAAQKSwDxUdho6RgEIAABCEAAAhCAAAQgAAEIQAACiA/GAAQgAAEIQAACEIAABCAAAQhAAAKFJYD4KGy0dAwCEIAABCAAAQhAAAIQgAAEIAABxAdjAAIQgAAEIAABCEAAAhCAAAQgAIHCEkB8FDZaOgYBCEAAAhCAAAQgAAEIQAACEIAA4oMxAAEIQAACEIAABCAAAQhAAAIQgEBhCSA+ChstHYMABCAAAQhAAAIQgAAEIAABCEAA8cEYgAAEIAABCEAAAhCAAAQgAAEIQKCwBBAfhY2WjkEAAhCAAAQgAAEIQAACEIAABCCA+GAMQAACEIAABCAAAQhAAAIQgAAEIFBYAoiPwkZLxyAAAQhAAAIQgAAEIAABCEAAAhBAfDAGIAABCEAAAhCAAAQgAAEIQAACECgsAcRHYaOlYxCAAAQgAAEIQAACEIAABCAAAQggPhgDEIAABCAAAQhAAAIQgAAEIAABCBSWAOKjsNHSMQhAAAIQKDqBHQ89Idu//5hs3XS9HDv/mK50N49zdqUwTgIBCEAAAhCAAAQ6JID46BAczSAAAQhAoHcE9Gb8trv/Tr6x+XNy0sIFMy6877XXZfXar8nKj54jKy48K3lvy+3b5elndrclBLTN2CuvyoYbVsnw8FFd69wLe1+Sa278qnz28j+frq9bJ29HUgROz+56fsblv3TjlTPqauec3epHu+dp1JeLzlvWcn6djJF26+R4CEAAAhCAAARsEEB82MiBKiAAAQhAYBYCiI/6cFqVFEG+XPCny2TN1SunT/b0zt3yqes2SVp+tHrOfg7YID5OP23xdH8mJg7K+pu3yb/86l9bEl6Ij34myLUhAAEIQAACvSWA+Ogtb64GAQhAAAIdEGhXfHRwiWSWSB4zPjqppdU2rUiKIAT0nPVms6hE+NmuF+WPl52SXLaVc7ZaX17H1RMfeq08Z9fk1RfOCwEIQAACEIBA/gQQH/kz5goQgAAEIBBJoF3xUe/mPcxuSJdy5aUXJTMGVHrcee+DM6pML5sIN9QvvfxqcswpS95/xKyCIE4uX3m+XL/+b0SP1fNfcclHjliKk75JD+fU74V6Gi3l+NYta+X0pYun62xFUjQTH9lowjk33vRpWfflb0pYGhNqC8fX45nlkl6GpO2+uPnOpHm6H3q98P00g9mGTCPxkf1+yG3juqvkiad+lmS84PjjkiVTP/3583X3R8mOhXB8WGLVyliIHO40hwAEIAABCECgywQQH10GyukgAAEIQKD7BGLFR7hJT99w603yXd/9gay+bHmyp0ejGR/12tZbJhFumLP7TNTbg6TeEpN0PfsPHJhRmxKtV0cr4kPbhtqy4qReUkFEpCVGvZkUWo8uKwn7qoTrpPdWSQuc7F4isx2fXsJSr8Z2xYfKpWbSqNFSGeXxR+99dyKcWh0L3f8EcEYIQAACEIAABGIIID5i6NEWAhCAAAR6QiA7K6DeRWfbp6KVZSz1jgk3w6PvOW7G3hj1vt/oGlnx0eiczUDWEyitio9WZ5BoDfXO2WrNKgbWbbxjehPaejWHfmaPTX9/y9e3z7pPR7OlLjrDQ0VFesZHeqZMvX42qifU1agv4ftrPrNyxmycZnnyPgQgAAEIQAACvSOA+Ogda64EAQhAAAIdEoid8RHESXa5RrqceuJithvn7PGtio/ZzpmuJ8iGB3/45Axq6T60Kj7CCRqdM7v0JPuI3EbLZbLLPsJ1wvlmEx+NeOk51236pmxc++kjnuCTlRDpmSHhWjo7I+xl0o74aCbHGomRwGbZhz/Y9af2dPhxoRkEIAABCEAAAhkCiA+GBAQgAAEImCcQKz60g832bmhXfGSlQzfFR1hSkV42U2+WQ7viIxt0PVkw24wPbR+kQuCZnmmTXQrSTHxk91VJ1zfbspxGM1iyYqvb4kOfgNPoNZtUM/8Bo0AIQAACEIBAwQkgPgoeMN2DAAQgUAQC3RAfaQ7hxlm/t3XT9XLs/GPq7vHRjxkfjWZX5CE+ghBK78vRivh46eXfyDU3flU+e/mfz5jl0K746PQpOo2WumTHerfFR3oZTxE+V/QBAhCAAAQgUBYCiI+yJE0/IQABCDgm0G3xoSiySxes7PHRaD+NTsWHtnvoH56ST64474gRUE+ytCM+wl4a4cTtiI9me2rMNlzzEB/N6plt9orjjxalQwACEIAABEpBAPFRipjpJAQgAAHfBGLFh0qNs8740IzNJ7Oio9E1Wn2SR6tLXYJ00WUT6WUi6ae6PPSjp2Y8ajW9N0e7e3ykl4Vkl4/Ue9pLK+JD+7D+5m2S3vQ1vd9HK3t8NHqKin5/6z0PJI8B1pk49V55iI9WnuoS9oqp94SY8OQX3580qocABCAAAQgUkwDio5i50isIQAAChSIQKz6CvEhDyT52Vt9L7wOSfj+7iWf6Ua/hnO2ID21Tb2PQtAhJ17Lg+ONEZ1fo007SG3q2usdHo01N6zFoRXzo43+z+2zouf7Def9OPrt2y/SjY1uZJVHviT3N9svIQ3ykc0zvPZLNul5u9cZDoT6AdAYCEIAABCDgnADiw3mAlA8BCEAAAhCAAAQgAAEIQAACEIBAYwKID0YHBCAAAQhAAAIQgAAEIAABCEAAAoUlgPgobLR0DAIQgAAEIAABCEAAAhCAAAQgAAHEB2MAAhCAAAQgAAEIQAACEIAABCAAgcISQHwUNlo6BgEIQAACEIAABCAAAQhAAAIQgADigzEAAQhAAAIQgAAEIAABCEAAAhCAQGEJID4io33p1f2RZ+hu89F3Dssr+w7IVLXa3RNztlIQeOcxR8kbByZl4uBkKfpLJ7tL4KihAXnH2+bIb1470N0Tc7bSEDjhnfNkbN9+4UdYaSLvakePOXpOcr7X33izq+flZOUgcNScAXnHvDnym9/xM8xy4guOm2e5PGozTADxERkO4iMSIM1NEUB8mIrDXTGID3eRmSsY8WEuElcFIT5cxWWuWMSHuUjqFoT48JGTxSoRH5GpID4iAdLcFAHEh6k43BWD+HAXmbmCER/mInFVEOLDVVzmikV8mIsE8eEjEjdVIj4io0J8RAKkuSkCiA9TcbgrBvHhLjJzBSM+zEXiqiDEh6u4zBWL+DAXCeLDRyRuqkR8REaF+IgESHNTBBAfpuJwVwziw11k5gpGfJiLxFVBiA9XcZkrFvFhLhLEh49I3FSJ+IiMCvERCZDmpgggPkzF4a4YxIe7yMwVjPgwF4mrghAfruIyVyziw1wkiA8fkbipEvERGRXiIxIgzU0RQHyYisNdMYgPd5GZKxjxYS4SVwUhPlzFZa5YxIe5SBAfPiJxUyXiIzIqxEckQJqbIoD4MBWHu2IQH+4iM1cw4sNcJK4KQny4istcsYgPc5EgPnxE4qZKxEdkVIiPSIA0N0UA8WEqDnfFID7cRWauYMSHuUhcFYT4cBWXuWIRH+YiQXz4iMRNlYiPyKgQH5EAaW6KAOLDVBzuikF8uIvMXMGID3ORuCoI8eEqLnPFIj7MRYL4mCWSHQ89IU/+5Oey4YZVMjx8lOnwXtj7kqzb9E3ZuPbTctLCBX2rFfERiR7xEQmQ5qYIID5MxeGuGMSHu8jMFYz4MBeJq4IQH67iMlcs4sNcJKUXH1tu3y533vvgNIcFxx8n39j8uUQe9FN87HvtdVm99mvy7K7np2v70o1XyooLz6qbGeLDx2eraZWIj6aIOMARAcSHo7AMlor4MBiKs5IQH84CM1Yu4sNYIM7KQXz4CGzBcfN8FBpZZT2x8fTO3fIvv/rXRDBYEB9rPrNSTl+6WIIIWfnRcxrKj0gcXWnOjI9IjIiPSIA0N0UA8WEqDnfFID7cRWauYMSHuUhcFYT4cBWXuWIRH+1H8uKeiuzZW5FFC6ty4qJq+yfooEUZxMfExEFZf/M2WfbhDzYUCUF8HPO2o+U7D/woIfmtW9YmIkJf+v4XN985TTj9ns4k+cMf9svrf3hDHvzhkxJma6hY+dR1m5I2pyx5v2zddL0cO/+YI1IKoiOIj3C9Pb8ckysu+UgyG+Si85bJ3ff9IGn7P1//P8lt93xvxlKX9LXSM1mys0nSdXcwXGY0QXxEEkR8RAKkuSkCiA9TcbgrBvHhLjJzBSM+zEXiqiDEh6u4zBWL+GgtkrvuGUwOvOKySXn4kQH58VMDcu7ZU8mfXrzyEh/f+8FkL8o/4hr/5qQBWfJvK0d8X+XEw//w5PTSluwBQWwEMaAiYcvXtyeyYt7cufKfH3xc/uNFZyf7f+ix27//2LTIqHdubb9u4x0zltKoyFhz9cqWxIeeMxkXb4mPP3rvu6f3H8kudcleS9/fP3FAFoy+K5EmYeaIfv8rt31HNt50VV0B025giI92iWWOR3xEAqS5KQKID1NxuCsG8eEuMnMFIz7MReKqIMSHq7jMFYv4aC2S9RuGkgM3rD8k2+4eTGZ8FEF8fPX/PCS7/rk3s1bSpD/3F0N1xYcek93jQ2dRhM1Ms0tdZpMEWfEQJEVaamS/N9v5sjM+9NhrbvyqbFx3lXxg0XsTeZGeDdLK9bW/aXmjM03CzBcVIWEmS2ujtP5RiI8YeiKC+IgESHNTBBAfpuJwVwziw11k5gpGfJiLxFVBiA9XcZkrFvHRWiRp8bHl1iEZHxcZHhY5YbSazALJ+1WWGR9ZjkE2nH7a4mQWRjPxEWTESy+/mpwqvZykkfhIb6SqbRotd6m3uWmYeVJvGUw98bHofaNHLONJL39J979by10QH5GfTsRHJECamyKA+DAVh7tiEB/uIjNXMOLDXCSuCkJ8uIrLXLGIj9YiSYuP8P9DS50FkvcrL/GRd93dOH9adjz0o6dmPM42PUNj3/jr0zMwdKZEKzMuVIbUkxH16q4nN8JxrYoPPT67jEbFhy7JyesRvYiPyFGI+IgESHNTBBAfpuJwVwziw11k5gpGfJiLxFVBiA9XcZkrFvHRWiRBdqy+elK23l7b7yO8zjxjSi44P9+9PsogPnSJh+5t8ckV5yWPrtVXdsPT2WZ8qPhYt+mb05uJZvfUqDfjI3uMXvNvd/xQLvzTM47YXyNWfGSvpV/rKyyTST8dJrzHUpfWPp+5HoX4yBUvJ+8xAcRHj4EX7HKIj4IF2ofuID76AL1Al0R8FCjMPnQF8dEa9CA+dF+PRx8fOKLRuhsPJUtf8nqVQXwou+xTWfR74ekr4f0nf/LzGRuIpjcCTe8P8qElJyVxbFz76USk1BMf+n52qcmVl17U8uamIe9WZnxk+zfbU11me7pMu2OMGR/tEsscj/iIBEhzUwQQH6bicFcM4sNdZOYKRnyYi8RVQYgPV3GZKxbx0VokQXzoI2x1Y9PsS/f5yPPRtmURH62lwVHtEEB8tEOrzrGIj0iANDdFAPFhKg53xSA+3EVmrmDEh7lIXBWE+HAVl7liER+tRZLd1wPx0Ro3juo/AcRHZAaIj0iANDdFAPFhKg53xSA+3EVmrmDEh7lIXBWE+HAVl7liER/NIxkbqxyxrwfiozk3jrBBAPERmQPiIxIgzU0RQHyYisNdMYgPd5GZKxjxYS4SVwUhPlzFZa5YxEfzSF7cU5G77pm5oSniozk3jrBBAPERmQPiIxIgzU0RQHyYisNdMYgPd5GZKxjxYS4SVwUhPlzFZa5YxEfzSBAfzRlxhF0CiI/IbBAfkQBpbooA4sNUHO6KQXy4i8xcwYgPc5G4Kgjx4Souc8UiPppHkhUfI/NFxl+b2Y7NTZtz5Ij+EEB8RHJHfEQCpLkpAogPU3G4Kwbx4S4ycwUjPsxF4qogxIeruMwVi/hoHklWfCw+uSq7n5v5ZBfER3OOHNEfAoiPSO6Ij0iANDdFAPFhKg53xSA+3EVmrmDEh7lIXBWE+HAVl7liER/NI8mKj3PPnpJHHx+Y0RDx0ZwjR/SHAOIjkjviIxIgzU0RQHyYisNdMYgPd5GZKxjxYS4SVwUhPlzFZa5YxEfzSNLiQ5e5XHrJ5BFPeUF8NOfIEf0hgPiI5I74iARIc1MEEB+m4nBXDOLDXWTmCkZ8mIvEVUGID1dxmSsW8dE8krT4WLSwKqsun5T1G4ZmNLzg/Ck584yp5ifr8IgFx83rsCXNyk6gFOJj32uvy+q1X5Nndz2f5H3lpRfJmqtXTmefff9bt6yV05cunn5/x0NPyBc335l8fdF5y2TDDatkePio5GvER9k/QsXqP+KjWHn2ujeIj14TL971EB/Fy7SXPUJ89JJ28a6F+GieaVp8nLq0KiuWHyk+TltalYuXTzY/WYdHlEV8pO8/A6rsPWqHCEvbrPDiY2LioKy/eZss+/AHZcWFZ0mzr1/Y+5Ks2/RN2bj203LSwgXy9M7dsuXr22Xrpuvl2PnHyJbbtyeDJYgTxEdpPzuF7Djio5Cx9qxTiI+eoS7shRAfhY22Jx1DfPQEc2EvgvhoHm1afOj+HvonzPhIP+Flw/pDzU/W4RFlEh9P/uTn079w13vSdRvvkG9s/lxyj8qrfQKFFx9hNseaz6ycnsWRlhcqOr5y23dk401XJWIjK0b02EXvG02kib6yIgTx0f6go4VdAogPu9l4qAzx4SEl2zUiPmznY706xIf1hGzXh/honk8QH6PHV+XSS6ZkZKQ6LT506cuevbUnvKy+elJGR6vNT9jBEWUVH/XuaeutSth/4ECy0iF971vvF/ufum5TQv+UJe+f/gW/nk9lyzFvO1q+88CPkvfTs0yyEwD0vnj79x+bljPNVlF0EHdXmxRefCitMCg0uA8seq+s+/Id8vnPfrzujA49PoS6+rLlM2aL6HvZgYP46Op45GR9JoD46HMAzi+P+HAeoIHyER8GQnBcAuLDcXgGSkd8NA8hiI+wv4e2CDM+dOnL7t0VmTggkucGp3mJj4nt25oDyOGIoSVLZei//e+OOHOQEGGLhewv3/V9lQ7pVQnhl/X63p5fjk2vUEh/nZ05kn4vfc+s2z40W/mQFh9BuKz86DnJhIHs5IIc0LV9ylKIjyArlM7Pdr0wY4+PrKmqJz40wLDnR1Z8/O6NN9uGnmeDY+YNyR8mJmWqmo9lzbN2zt1/AkfPHZQ3D1Xlzcn8NqXqfy+pIC8CQwMVmXvUoPxhIr8prnnVznltEDhm3hz5/cSbwo8wG3l4q2LunMGk5ANv5re/gDcm1Ns6gaHBiswdGpQ/HOBnWCNqv3hBZOsdIu8/UeQvrq4dteam2n9XXyXy/Asij/yDyPl/KnL+ea2zb+fIdxw9p53DWz729xuuk0P/9P+2fHy3Dnz7+lsaio+wx6ReK73PZHaFgr6fvqd96eXfTK9omDd3bvKL/HA/m521kRYUj/7fP01mfATZkpUXs834+NlzL8zYHiLUmL6P7hazTs9TePGhU27SMzxCCKPvOS6xYFmTpSDbmfHx+/22/nJ8m4oPYzV1Ojhp13sCw0cNJtJjchJx1nv6/q84oOJjzoDsP8BNh/80+9ODt88bEms/V/tDgqt2QkB/Y6+vg28i7zvhV/Y2/AxrPgJUfPzN7VX5wEkif3l1bVnL9Wtr/2bUr3/1ksj9/2Xm+83P2t4R+nMij5flGR8qMtJ7UIb72Qd/+OQMFEGO6DeD7Dhu5B0ztnXQ+9w7731wRruw3CVWfITlM+mTW9qQtfDio940m/TUobQRY4+PPP4a4ZyeCLDUxVNa9mplqYu9TLxVxFIXb4nZqpelLrby8FYNS12aJ1Zvqcu2u2szrVYsn5Lh4aps3FwTE3ltcJrXUpfmve/tEdmlLumv02Ij/STSdIVhCYsuf0nyeWu/yuz+ldk2MTM+0vt99JZWa1crvPgIm6yE9UbZGR/ZqUI81aW1gcNRxSSA+Chmrr3qFeKjV6RM4pTdAAAgAElEQVSLex3ER3Gz7UXPEB+9oFzcayA+mmdbT3xkW4U9PxAfzXnOdkRWfGTvYbN7fOj7//nBx+U/XnS2DA8fJWHVw9RUVb7wF5+YfhJMvafD/O2OH8qFf3qGNJvxUU++JJLrhlWS3eNDv6/X0lcjORNHqP3WhRcfikRlxjU3flVeevnVhNCVl140vdmLft1sB9p6O+bqgNIXm5u2P+hoYZcA4sNuNh4qQ3x4SMl2jYgP2/lYrw7xYT0h2/UhPprn04r42PjXQ8kGp2uunUye+tLtV1lnfKTvWU8/bXFyL5u+R9X3v3TjldMzO/Rrnd0x9sqr03t2hCxUSKSXpYR746xsafT0U11is+D44+Tyj31Ent31fMOnuqSfGNPtcdDJ+UohPjoB02obxEerpDjOAwHEh4eU7NaI+LCbjZfKEB9ekrJZJ+LDZi5eqkJ8NE+qFfGhS1/0sbZ5PdmlLOKjeRoc0S4BxEe7xDLHIz4iAdLcFAHEh6k43BWD+HAXmbmCER/mInFVEOLDVVzmikV8NI8E8dGcEUfYJYD4iMwG8REJkOamCCA+TMXhrhjEh7vIzBWM+DAXiauCEB+u4jJXLOKjeSSIj+aMOMIuAcRHZDaIj0iANDdFAPFhKg53xSA+3EVmrmDEh7lIXBWE+HAVl7liER/NI3lm54Dc/8CALD65KpdeUv/R9Sx1ac6RI/pDAPERyR3xEQmQ5qYIID5MxeGuGMSHu8jMFYz4MBeJq4IQH67iMlcs4qN5JI8+PiD659yzp5I/9V6tHNP8So2PYI+PGHrlbov4iMwf8REJkOamCCA+TMXhrhjEh7vIzBWM+DAXiauCEB+u4jJXLOKjeSStSI1WjtErTUyIjL1ckeG5IqOjrT/9BfHRPCeOqE8A8RE5MhAfkQBpbooA4sNUHO6KQXy4i8xcwYgPc5G4Kgjx4Souc8UiPppH0orUaOUYvVIr+4XUqwjx0TwnjkB85DIGEB+5YOWkfSKA+OgT+IJcFvFRkCD72A3ERx/hF+DSiI8ChNjHLiA+msNvRWq0cgziozlrjug+AWZ8RDJFfEQCpLkpAogPU3G4Kwbx4S4ycwUjPsxF4qogxIeruMwVi/hoHkkrUqOVY/RK4bhFC6uy6vL6G6XWq4gZH81z4oj6BBAfkSMD8REJkOamCCA+TMXhrhjEh7vIzBWM+DAXiauCEB+u4jJXLOKjeSQ7HhiUn+6syAXnT8mZZ8Rtbor4aM6bI7pLAPERyRPxEQmQ5qYIID5MxeGuGMSHu8jMFYz4MBeJq4IQH67iMlcs4qN5JK08qrbdGR8jIyKnLZ2S05ZWZWSk+SanzPhonhNHMOMjlzGA+MgFKyftEwHER5/AF+SyiI+CBNnHbiA++gi/AJdGfBQgxD52AfHRHH4r4iNsWqpnu+KySTlxUX2ZEQRJuOpss0jSlSE+mufEEYiPXMYA4iMXrJy0TwQQH30CX5DLIj4KEmQfu4H46CP8Alwa8VGAEPvYBcRHc/hbbh2S8XGRNddONpyd0an4aCZKQnWIj+Y5cQTiI5cxgPjIBSsn7RMBxEefwBfksoiPggTZx24gPvoIvwCXRnwUIMQ+dgHx0Rz++g1DyUEb1h9qeHCr4iPMHkmf6OLluuSl/t4hiI/m+XDE7ATY4yNyhCA+IgHS3BQBxIepONwVg/hwF5m5ghEf5iJxVRDiw1Vc5opFfDSPJG/xce7ZU6J/Znsx46N5ThxRnwDiI3JkID4iAdLcFAHEh6k43BWD+HAXmbmCER/mInFVEOLDVVzmikV8zB7J2FhFtt4+KCPzRdZcl8+MD8SHuY9FoQpCfETGifiIBEhzUwQQH6bicFcM4sNdZOYKRnyYi8RVQYgPV3GZKxbxMXskYQnLooVVWXX5ZMOD00tdZhMZ9Za6ID7MfSwKVRDiIzJOxEckQJqbIoD4MBWHu2IQH+4iM1cw4sNcJK4KQny4istcsYiP7osPPWOjJ7sgPsx9BApfEOIjMmLERyRAmpsigPgwFYe7YhAf7iIzVzDiw1wkrgpCfLiKy1yxiI/ZI/nxUwPy8CMDcuYZU6KPnp3tlX5UbSPxEfYLWX31pPzXpwbkpzsryf4e7PFh7qNRmIIQH5FRIj4iAdLcFAHEh6k43BWD+HAXmbmCER/mInFVEOLDVVzmikV8zB5JkBmtyIms+Bh7uSInjFZFl8mEV3qj1HD8yIjIqssaPypX27K5qbmPjpuCEB+RUSE+IgHS3BQBxIepONwVg/hwF5m5ghEf5iJxVRDiw1Vc5opFfOQjPnR2iM4U0Vf6Mbhp8bFrd0W+fd9gckyjGSKhOsSHuY+Om4IQH5FRIT4iAdLcFAHEh6k43BWD+HAXmbmCER/mInFVEOLDVVzmikV8zB5J2JPjEx+blCWLD8/cqNcqPeNjdLQq+kSY2cRHekNUxIe5j0ZhCkJ8REaJ+IgESHNTBBAfpuJwVwziw11k5gpGfJiLxFVBiA9XcZkrFvHRmvhoJib0LGnxkT7rmmsPL2NJz/hIiw+dIaL7iDR6MePD3EfHTUGIj8ioEB+RAGluigDiw1Qc7opBfLiLzFzBiA9zkbgqCPHhKi5zxSI+jowk/QhbfXfP3krTpSiziY8gTXTpi26WGh6N2+ojcPXciA9zHx03BSE+IqNCfEQCpLkpAogPU3G4Kwbx4S4ycwUjPsxF4qogxIeruMwVi/hoLD6Gh0VGj692TXxsuXVIxselrvho9tQYxIe5j46bghAfkVEhPiIB0twUAcSHqTjcFYP4cBeZuYIRH+YicVUQ4sNVXOaKRXw0Fh/6TtirQx8/q/9/tlejpS5hxkdY5lJvxkf4XqPzIz7MfXTcFIT4iIwK8REJkOamCCA+TMXhrhjEh7vIzBWM+DAXiauCEB+u4jJXLOJjdvER3k0/maVRiLqMJTzJJX2Mig99rO3GzUPJt4Pk0M1Pt95ee6oL4sPcR6MwBSE+IqNEfEQCpLkpAogPU3G4Kwbx4S4ycwUjPsxF4qogxIeruMwVi/jonvhI79mRFR/69V33HCk5tn5jUMZeriA+zH0yilMQ4iMyS8RHJECamyKA+DAVh7tiEB/uIjNXMOLDXCSuCkJ8uIrLXLGIj+6Jj4kJkWd2Hjnr4+LlUzIyvzotPs49e0r0j760jc4E0f1E1t14qOH4YKmLuY+Om4IQH5FRIT4iAdLcFAHEh6k43BWD+HAXmbmCER/mInFVEOLDVVzmikV8dE986Jnqzfo4cVFV5s4V2f1cRU5dWpU/OXtKRkYO7xeSfsRtowGC+DD30XFTEOIjMirERyRAmpsigPgwFYe7YhAf7iIzVzDiw1wkrgpCfLiKy1yxiI/8xUf6CunZHuH7iA9zH4tCFYT4iIwT8REJkOamCCA+TMXhrhjEh7vIzBWM+DAXiauCEB+u4jJXLOKjufi44Pwp0cfNtvJqtM9HaFvvXIiPVshyTKcEEB+dknurHeIjEiDNTRFAfJiKw10xiA93kZkrGPFhLhJXBSE+XMVlrljER3Px0coTXcJZmokP3cdD9/NIv7bdPSh79lYkPPa23iBhqYu5j46bghAfkVEhPiIB0twUAcSHqTjcFYP4cBeZuYIRH+YicVUQ4sNVXOaKRXwcGUn2sbTdFB/1zoX4MPexKFRBiI/IOBEfkQBpbooA4sNUHO6KQXy4i8xcwYgPc5G4Kgjx4Souc8UiPg5Hok9Y0UfLPvPTAXlmZyV5Y/T4qqy+ZrLl3NIzPhYtrMqF50/J1ttrj7HVF+KjZZQc2CUCiI9IkIiPSIA0N0UA8WEqDnfFID7cRWauYMSHuUhcFYT4cBWXuWIRH4cjqbdMReXFqstbFx/h8bR61tA27OHRSHzc+93B5Ikvn/jYpCxZfPhpL+nBwlIXcx8dNwUhPiKjQnxEAqS5KQKID1NxuCsG8eEuMnMFIz7MReKqIMSHq7jMFYv46K740LMF0dGq+Hj08QHRP/We+BKqQ3yY++i4KQjxERkV4iMSIM1NEUB8mIrDXTGID3eRmSsY8WEuElcFIT5cxWWuWMTH4Uh27a7It+87vCzl1KVV+ZOzp2RkpP4sjEZhZsXHlluGZPy12tH1lrogPsx9LApVEOIjMk7ERyRAmpsigPgwFYe7YhAf7iIzVzDiw1wkrgpCfLiKy1yxiI/DkQQBEb4z2wyM2YLMio+weSniw9zwL0VBiI/ImBEfkQBpbooA4sNUHO6KQXy4i8xcwYgPc5G4Kgjx4Souc8UiPvovPp7ZOSD3PzAgi0+uyqWXTIruNaKPt9WlMicuqs02YamLuY+Om4IQH5FRIT4iAdLcFAHEh6k43BWD+HAXmbmCER/mInFVEOLDVVzmikV85C8+Hn5kQPQRufqqt9QlbKoa9gQJx6v0uODfT8noaBXxYe6T46cgxEdkVoiPSIA0N0UA8WEqDnfFID7cRWauYMSHuUhcFYT4cBWXuWIRH4cjSS9JGZkvcu45U3La0qm2M8sudQlLaPSca647dMT5suIjXUdYbsOMj7ZjoMFbBBAfkUMB8REJkOamCCA+TMXhrhjEh7vIzBWM+DAXiauCEB+u4jJXLOKjvvjodH8PPVvYzDTM4Ajio9GjcZuJj9OWVuW/ef+wubFDQT4IlEZ8vLD3Jbnmxq/KSy+/KguOP06+sflzctLCBUlK+157XVav/Zo8u+v55Otv3bJWTl+6eDrBHQ89IV/cfGfy9UXnLZMNN6yS4eGjkq8RHz4GOlW2RgDx0RonjqpPAPHByIglgPiIJVju9oiPcucf23vER33xcfHyzmZ76NnCjI0gOrJio15mYZaILoVJz/jQ5S7a/pu3zImNmvYlJVAK8aHSY92mb8rGtZ+elh0h74mJg7L+5m2y7MMflBUXniXZY5/euVu2fH27bN10vRw7/xjZcvv2pOmaq1ciPkr6oSlytxEfRU43/74hPvJnXPQrID6KnnC+/UN85Mu36GdHfBxOeOPmIZmYqH19xWWT0xuLtjsGsuJjbKwiDz0yICeMVuWC8+svnWkkPsK1ER/tpsDxgUDhxUcQGys/es6MWRwBgIqOr9z2Hdl401WJ2MiKEBUdi943mkgRfWVFCDM++DAViQDio0hp9r4viI/eMy/aFREfRUu0t/1BfPSWd9Guhvg4nGiQD/qd1VdPJpuKdvLKio9WzhGuve7GQ6ICJvtCfLRCkWPqESi8+MguY1EI6eUqWZGh74dZHasvWz5jNoi+l50Rgvjgg1UkAoiPIqXZ+74gPnrPvGhXRHwULdHe9gfx0VveRbsa4uNI8RGzv4eerRPxsfGvh2TigMgnPjYp375vEPFRtA9aH/tTePHRaEbH6HuOS5arqPjY/v3HZuzbkRUf6dkiWfExVe3MgOaV+UClItZqyquvnLf7BCqVikhV/2drXHe/p5wxDwIVqYgOIf4OyoNuOc7Jz7By5JxXL/XvIH3xMywvwsU+Lz/Davm+sV/k+psOybxhkVs2HTnjop1RcPPfTMo//6Iq//YDFbnhL4+UGPXOFdp89CMD8v0fHLkchhkf7STAsWkCpRMf2vn0LI9f7PnVjD089P12ZnyM/fatBXBGxtV7jp0rvxk/yI2HkTy8lXHs2+fIGwcn5cDB9h9Z5q2v1Nt9AnOGBuSYo4fkt7872P2Tc8ZSEDj+2GF5ZXxCjP1OoRTsi9DJtx9du0n7/RtHPiazCP2jD/kSmDNnQI4ZHpLfvl7un2G6geiddw/IiQurcuWn4v49eOe3BuTFvZW2zhXaLDm5Krueq4g++nb8tVr2/9v/Mimj7+SpLvl+Eop79lzFR/ppKFmEX7rxyul9M/LEq0td1n35Dvn8Zz8+vbFpepbHSy//hj0+8gyAc7siwFIXV3GZK5alLuYicVcQS13cRWaqYJa6mIrDXTEsdalF1sqTV1oN997vDsru5yrS6PG19c6TXh6zZ2+trf5XX/qklwXHzWv18hwHgRkEchEfOmPiznsflFOWvH/6aSjpq6b33bjy0oumn5CSVzZaz9grrybLWfSVfooLT3XJizrn9UgA8eExNTs1Iz7sZOG1EsSH1+Rs1I34sJGD1yoQH90XH48+PiD6px3xseOBQfnpzpro0Bfiw+snyl7dXRUfQWj80XvfPWPPjEbdDtLhX371r3UFSbdwhes8+MMnk1NmZUt2A9Rv3bJ2xhNg0jNX0huj6rnY3LRbKXEeCwQQHxZS8FsD4sNvdlYqR3xYScJnHYgPn7lZqRrxIaKPm733vkEZHxc584ypho+cbTWzTsRHaBOuoXX8+KmB5EtmfLRKnuPqEei6+PjZrhflj5ed0hbtf3zyWfnQkhOTx8l6eyE+vCVGvbMRQHwwPmIIID5i6NFWCSA+GAcxBBAfMfRoi/iQZHaG/tFX7BNd9BzdEB9ah55neK7Iui+w1IVPaucEuio+Oi/Db0vEh9/sqPxIAogPRkUMAcRHDD3aIj4YA7EEEB+xBMvdHvFhW3yE5TLs8VHuz2lM7xEfMfRY6hJJj+bWCCA+rCXiqx7Eh6+8LFbLjA+LqfipCfHhJyuLlSI+ZoqPi5dPyWlL457q0smMj127K/Lt+w4/+nbNtZPyzM6KjIxIUg/iw+Knx0dNuYgP3RPjtrv/Tr6x+XMznqTyqes2JVR69USXXkTAjI9eUOYavSKA+OgV6WJeB/FRzFx72SvERy9pF+9aiI/iZdrLHiE+ZoqPKy6blBMXVaMi6ER86AXDk2X0/+u+HukX4iMqklI3zkV86FNU9LXm6pXJf9OPlF1w/LuSp6qs/Og5MzYQ9ZoC4sNrctRdjwDig3ERQwDxEUOPtkoA8cE4iCGA+IihR1vEx2Hx0Y39PXRExYqPsK8H4oPPZzcIdF18hCekrPnMymmx8fTO3bL9+49NP+kl+3U3OtKvcyA++kWe6+ZBAPGRB9XynBPxUZ6s8+op4iMvsuU4L+KjHDnn1UvEh8i93x2U3c9V5BMfm5Qli+Nme2hOExO1tIaHu5caMz66x7JsZ8pFfKz78h3y+c9+fHqZS3YGyAt7X5Kv3PYd2XjTVS6f5JIeJIiPsn1kit1fxEex8827d4iPvAkX//yIj+JnnGcPER950i3+uREfItvuHpQ9eyvSjWUueY0YxEdeZIt/3p6Jj0XvG5UVF56VEEV85DewRt85LK/sOyBT1XhLm1+VnNkqAcSH1WR81IX48JGT5SoRH5bTsV8b4sN+RpYrRHwgPiyPT2qLJ9B18TExcXDGHh7Zr7VkXeqy5evbZeum65nxEZ/hjDMgProMtGSnQ3yULPAudxfx0WWgJTwd4qOEoXexy4iPLsIs4akQH4iPEg77UnW56+JD6elTXZ78yc+TPT1+9twLR0iO7NIXz8RZ6uI5PWrPEkB8MCZiCCA+YujRVgkgPhgHMQQQHzH0aIv4QHzwKSg2gVzEhyJTuXHnvQ8m9L51y9oZG53qY23T3/OMGPHhOT1qR3wwBrpJAPHRTZrlPBfio5y5d6vXiI9ukSzneRAfIltuHZLxcZE1107KyIjNZfPs8VHOz2c3ep2b+OhGcR7OgfjwkBI1tkqAGR+tkuK4egQQH4yLWAKIj1iC5W6P+Ch3/rG9R3yIrN8wlGDcsP5QLM7c2iM+ckNb+BMjPiIjRnxEAqS5KQKID1NxuCsG8eEuMnMFIz7MReKqIMSHq7jMFYv4QHyYG5QU1FUCXRcf+157XVav/Zo8u+v5hoUWZZmLdhDx0dXxyMn6TADx0ecAnF8e8eE8QAPlIz4MhOC4BMSH4/AMlI74QHwYGIaUkCOBrouPZrXqo2yvufGrsnHdVdP7fjRrY/l9xIfldKitXQKIj3aJcXyaAOKD8RBLAPERS7Dc7REf5c4/tveID8RH7BiivW0CPRcfikMfZ7v9+48lT30ZHj7KNqEm1SE+XMdH8RkCiA+GRAwBxEcMPdoqAcQH4yCGAOIjhh5tyy4+JiZENm4ekuG5Iuu+wB4ffCKKR6Av4kNnfXzltu/IxpuukmPnH+OaKuLDdXwUj/hgDHSRAOKjizBLeirER0mD71K3ER9dAlnS05RdfLy4pyJ33TMoixZWZdXlk2ZHAZubmo3GfGGIj8iIEB+RAGluigAzPkzF4a4YxIe7yMwVjPgwF4mrghAfruIyVyziA/FhblBSUFcJ9EV87HjoCXnyJz9nqUtXo6ydbPSdw/LKvgMyVbX57O0cuswpu0gA8dFFmCU8FeKjhKF3ucuIjy4DLdnpEB8lC7zL3UV8ID66PKQ4nTECPRcfbG6a7whAfOTLt+hnR3wUPeF8+4f4yJdvGc6O+ChDyvn1EfGRH9synLns4uPHTw3Iw48MyJlnTMkF50+ZjZylLmajMV9Y18UHj7Ptb+aIj/7y9351xIf3BPtbP+Kjv/yLcHXERxFS7F8fEB/9Y1+EK5ddfDz6+IDon3PPnkr+WH0hPqwmY7+urosP+13uboXs8dFdnpytvwQQH/3l7/3qiA/vCfa/fsRH/zPwXAHiw3N6/a/du/gYG6vIxAGR0eOrMjzcPk/d2FQ3OEV8tM+OFj4IID4ic0J8RAKkuSkCiA9TcbgrBvHhLjJzBSM+zEXiqiDEh6u4zBXrXXxsu3tQ9uytyBWXTcqJi9rf62/9hqEkE13mostdrL6Y8WE1Gft15SY+tty+Pen9mqtXJv9NL4G56LxlhdjYVPuF+LA/yKmwdQKIj9ZZceSRBBAfjIpYAoiPWILlbo/4KHf+sb1HfNTER6fiJJZ/q+0RH62S4rgsgVzEx8TEQVl/8zZZ+dFz5PSli5NrpkXI0zt3yxNP/WxainiOBfHhOT1qzxJAfDAmYgggPmLo0VYJID4YBzEEEB8x9GjrXXxsuXVIxsdFPvGxSVmyuPMZHxvWHzI9GBAfpuMxXVwu4kNnd6z78h3y+c9+XE5auECyIkTf//L/8bdy03/6pBw7/xjTgJoVh/hoRoj3PRFAfHhKy16tiA97mXirCPHhLTFb9SI+bOXhrRrv4iMsVel0j47QHvHhbeRSb6sEuio+guB48IdPtnr95Lgv3XilrLjwrLbaWDkY8WElCeroBgHERzcolvcciI/yZt+tniM+ukWynOdBfJQz9271GvFRW+qC+OjWiOI81gh0VXyEzqkA+cpt35FPrjgvmfHxwt6Xkq833nRVMsODGR/5DQMeZ5sf2zKcGfFRhpTz6yPiIz+2ZTkz4qMsSefTT8RHPlzLclbEB+KjLGO9rP3MRXwozB0PPZEw1Zkc+v/3/HJsek+PrAjxDJ8ZH57To/YsAcQHYyKGAOIjhh5tlQDig3EQQwDxEUOPtogPxAefgmITyE18pJe9nLLk/bJ10/XJbI/w/dH3HMfmpjmMLWZ85AC1RKdEfJQo7By6ivjIAWrJTon4KFngXe4u4qPLQEt2Os/i48U9FbnrnsEksU72+JiYENm4eUhG5ousuY7NTUs29EvT3dzER1kIMuOjLEmXo5+Ij3LknFcvER95kS3PeREf5ck6j54iPvKgWp5zlll8BHGyaGFVVl0+aTp0nupiOh7TxSE+IuNBfEQCpLkpAogPU3G4Kwbx4S4ycwUjPsxF4qogxIeruMwVWwbxEWaFXHHZTLmB+DA3HCkoBwJdFR+6aenPdr0of7zslLZK/ccnn5UPLTnR5aNtER9tRc3BxgkgPowHZLw8xIfxgByUh/hwEJLhEhEfhsNxUFoZxEd4ZO2aaydlZKQ6nQriw8EApcRoAl0XH6vXfk3+6L3vlg03rJLh4aNmLTDs9/Evv/rX6T1AonvU4xMgPnoMnMvlSgDxkSvewp8c8VH4iHPvIOIjd8SFvgDio9Dx5t45z+Ljx08NyMOPDCSMGi1XGRuryNbba/uA6IyPExchPnIfVFzAFIGuio/Qsy23b5c7731Q0puapnutM0NUkDy763m58tKLXG9yivgwNZ4pJpIA4iMSYMmbIz5KPgC60H3ERxcglvgUiI8Sh9+FrnsWH48+PiD6J4iPE0ar8szOgWRWx5KTq4nk2DdekfsfqB3ziY9NypLFiI8uDBtO4YhALuIj9P/pnbvlU9dtqovjW7esldOXLnaEqn6piA/3EdKBFAHEB8MhhgDiI4YebZUA4oNxEEMA8RFDj7ZFEh+a5p69lRmh6hNbxl+rfSv75BeWujD+y0AgV/FRBoCIjzKkXJ4+Ij7Kk3UePUV85EG1XOdEfJQr7273FvHRbaLlOl/RxUc6zTPPmJILzp+a/hbio1xjvay9RXxEJo/4iARIc1MEEB+m4nBXDOLDXWTmCkZ8mIvEVUGID1dxmSvWs/jQ/T10nw996R4f+srO+EgDD/uAaLuxlysyenw1ac/jbM0NSwrqIgHERyRMxEckQJqbIoD4MBWHu2IQH+4iM1cw4sNcJK4KQny4istcsZ7Fx7a7B6dFRzviI7TTNipKEB/mhiUFdZEA4iMSJuIjEiDNTRFAfJiKw10xiA93kZkrGPFhLhJXBSE+XMVlrtgiiY9Gsz3S+3xsWH9IgvgYGREZHxc5dWlVViyfNJdNuqAFx80zXR/F2SWA+IjMBvERCZDmpgggPkzF4a4YxIe7yMwVjPgwF4mrghAfruIyV2xRxMdsYMPMDj1GNzjd9VxF9DG34ZXd9NRcSCKC+LCYio+aEB+ROSE+IgHS3BQBxIepONwVg/hwF5m5ghEf5iJxVRDiw1Vc5ootg/hYfHJt/4/dz8184gviw9xwpKAcCJROfGy5fbs8/cxu2brpejl2/jEJ0n2vvS6r135Nnt31fPJ19lG7Ox56Qr64+c7kvYvOWyYbblglw8NHJV8jPnIYlZyybwQQH31DX4gLIz4KEWNfO4H46Ct+9xdHfLiPsK8dKIP40BkdS06uyo4HapuaZl/M+OjrEOTiORMolfhQ6XHnvQ/KKUvePy0+JiYOyvqbt8myD39QVlx4lryw9yVZt+mbsnHtp+WkhQvk6TavtRoAACAASURBVJ27ZcvXt08fr+fQ15qrVyI+ch6cnL73BBAfvWdepCsiPoqUZn/6gvjoD/eiXBXxUZQk+9OPIosPXeJy4qJq8vSWJYurEh5fi/joz1jjqv0hkKv4CFLhwR8+KQuOP06+sflzsuD4d80QDb3qts7a2PPLMTnrjA/NEBkqOr5y23dk401XJTNAsiJERcei940mUkRfWRHCjI9eJch1ekEA8dELysW9BuKjuNn2qmeIj16RLuZ1EB/FzLVXvfIqPp7ZOSD6WNqJicakPvGxyUR4hFdafAzPFZk4UHuHGR+9Gm1cpx8EchUfQRpc+CdnJHLhkyvOm55Fsf37j81YMpJn51V6PPmTnyfX+9lzL8wQH1mRoXWEWR2rL1t+hKTJzghBfOSZHOfuNQHER6+JF+t6iI9i5dmP3iA++kG9ONdEfBQny370xKv4SD/KthG3Ky6bTGZ8hNf4eEW23DqYfKmzQc48Y0omDlRkyclTMjzcD/qtX5PNTVtnxZEzCeQmPnTfjHVfvkM+/9mPJ7M80uIjO8siz1BUbKQlS1Z0ZN+vJz5WfvQcOX3p4qTMrPgY//3BPMtv+9zz3zZHfvfGIalWD//l1vZJaFBaAm8bHpKDh6bkzUNTpWVAxzsnMDQ4IMNzB+X3b7zZ+UloWWoC8992lLz2xkERfoSVehx02vnho4aSphMHD3V6CtqVmEDyM+yoQfn9fl8/w277ZkWef1FkwQki+/eL7Bs/MsQ1f1lN3k+/bvir2h4f7z9R5LOf9vOX7sjba/ss8oJAuwT6Ij7qyYZ2C2/1+PTGpOk2YZ+PX+z51YwZIHpMOzM+3jhg61nX8+YOysSBSf7N2OoA4bgZBObOGZBDk1WZnPLzA5AI7RAYqIjorI+JNxFndlLxVcnRcwdlPz/DfIVmqNo5Q7UbuTcP8TPMUCxuShkYEDlq0N/PsGtvrP3M/ev/dUDuuHtKfvHCkchv3TxwxDdDuw99sCJXXV7/KS8Ww9OfE7wg0AmB3MSHFhOWmNz0nz4pf7Pt/mSpy7EjxyRPUNFZFGHfjE4K77RNdsYHe3x0SpJ2RSTAUpciptq7PrHUpXesi3ollroUNdne9IulLr3hXNSreF3qsn5DbabThvWHpNGyF30v+wrtPOzrka6dpS5F/QTm369cxYeWr6LhU9dtmtGT7ONi8+/m4StkxQdPdeklfa5lnQDiw3pCtutDfNjOx0N1iA8PKdmtEfFhNxsPlZVVfGT3/7CeFeLDekJ268tdfFjrer3NTHU/Ep2F8uyu55Nys2ImvVzmovOWzdiUlc1NrSVMPTEEEB8x9GiL+GAMxBJAfMQSLHd7xEe584/tvUfxoU9y2bh5SPTJLOu+MHPGR/ppLfVmfIyNVWT/hMgJo1XzG5qms0V8xI708rbPVXzoXhljr7w6QxRkZ1h4R4/48J4g9acJID4YDzEEEB8x9GirBBAfjIMYAoiPGHq09Sg+wmNp9cksqy6fnLHURb+3Z29FRo+vyuprbO1JGDPaEB8x9MrdNjfxEQRH+okoAXUvNzfNO17ER96EOX8vCSA+ekm7eNdCfBQv0173CPHRa+LFuh7io1h59ro3RRAf9353UHY/V9uoVB9Ru/jkqswbFhkdLc6Gv4iPXn8yinO93MRH+nG2Jy1cMINYLx9nm3dUiI+8CXP+XhJAfPSSdvGuhfgoXqa97hHio9fEi3U9xEex8ux1b4ogPh59fED0j768bVraat6Ij1ZJcVyWQG7igxkf/Rlso+8cllf2HZCpanHMbn9IlvOqiI9y5t6tXiM+ukWyvOdBfJQ3+270HPHRDYrlPYdH8fHjpwbk4UcGktkdF5w/lUiPID4uXj4lpy0t3uPlER/l/YzG9jw38aGF6ZKWdRvvkG9s/pyEWR862+OaG78qn738z/vyONtYYNn2zPjoNlHO108CiI9+0vd/bcSH/wz73QPER78T8H19xIfv/PpdvUfxEURHmN2RFh+rr54s1BKXMD4QH/3+pPi9fq7iQ7EE0fHSy69OU+rn42y7HRXio9tEOV8/CSA++knf/7URH/4z7HcPEB/9TsD39REfvvPrd/VFEx/1nuTSb8bduD7ioxsUy3mO3MVH0bEiPoqecLn6h/goV97d7i3io9tEy3c+xEf5Mu9mjxEf3aRZvnN5FB+6zEWXu9Sb8YH4KN8YpsezE0B8RI4QxEckQJqbIoD4MBWHu2IQH+4iM1cw4sNcJK4KQny4istcsR7Fx7a7B5NH1l5x2aScuKg6Y48PxIe5IUZBfSaA+IgMAPERCZDmpgggPkzF4a4YxIe7yMwVjPgwF4mrghAfruIyV2wRxMeu3RX59n2DCVvEh7khRkF9JtB18aGPsV299mvyqUs+It/67g/k2V3P1+3iKUveL1s3XS/Hzj+mzwjiLo/4iONHa1sEEB+28vBWDeLDW2L26kV82MvEU0WID09p2au1COLjxT0VuesexIe90UVFFgh0XXxY6FQva0B89JI218qbAOIjb8LFPj/io9j59qJ3iI9eUC7uNRAfxc22Fz3zKD623Dok4+Mia66dlJGRqiA+ejFSuIZXArmJD535se7Ld8jnP/vx6UfZeoU0W92IjyKmWt4+IT7Km303eo746AbFcp8D8VHu/GN7j/iIJVju9h7Fx/oNQ0loYVkL4qPcY5jez04A8RE5QhAfkQBpbooA4sNUHO6KQXy4i8xcwYgPc5G4Kgjx4Souc8UiPsxFUrcgHmfrIyeLVeYmPrSzW27fLmed8SE5felii33vSk2Ij65g5CRGCCA+jAThtAzEh9PgDJWN+DAUhsNSEB8OQzNUcpHEx+jxVVl9zaQhut0rBfHRPZZlO1Ou4uOFvS/J3+74YbLcZXj4qEKyRXwUMtbSdgrxUdrou9JxxEdXMJb6JIiPUscf3XnERzTCUp/Auvh49PEBmZgQueD8qSSnsKxl0cKqrLq8Jjn0/V+PVeSE0aoMDxczTsRHMXPtRa9yEx/h6S481aUXMR6+xug7h+WVfQdkqlrt7YW5WiEIID4KEWPfOoH46Bv6wlwY8VGYKPvSEcRHX7AX5qKWxYcKjY2ba/t5ZDcyTYuPwoQxS0cQH2VIOZ8+5iY+8inX3lmZ8WEvEyrqnADio3N2tBRBfDAKYgkgPmIJlrs94qPc+cf23rL4SG9aesVlk3LiosNPcEF8xCZP+7IQyE186P4ed977YMLxyksvkjVXrywkU8RHIWMtbacQH6WNvisdR3x0BWOpT4L4KHX80Z1HfEQjLPUJvIiPc8+eEv3zzM4Buf+BAVl8clUuvaSY+3nUG5DM+Cj1xzSq87mIjx0PPSFP/uTnsuGGVcneHipBFr1vVFZceFZUsRYbIz4spkJNnRJAfHRKjnZKAPHBOIglgPiIJVju9oiPcucf23vL4mPX7op8+77BpItBfOieH/onfB3bfy/tER9ekrJXZ9fFx8TEQVl/8zZZ+dFzpp/mopucfuW278jGm66SY+cfY49CREWIjwh4NDVHAPFhLhJXBSE+XMVlsljEh8lY3BSF+HATlclCrYoPlRs6u2N8vIbttKXVt2Z8VBAfJkcSRVkl0HXxoZuarvvyHcmTXE5auCDpd73vWQXSbl2Ij3aJcbxlAogPy+nYrw3xYT8j6xUiPqwnZLs+xIftfKxXZ1V8rN9Q29Q0/dJZHvpixof1UUV9lgj0THysXvs1WfOZldOzQCxBiKkF8RFDj7bWCCA+rCXiqx7Eh6+8LFaL+LCYip+aEB9+srJYqUXxkd7UNM1MNzfdPyEyNlZhqYvFwURNJgkgPiJjQXxEAqS5KQKID1NxuCsG8eEuMnMFIz7MReKqIMSHq7jMFWtdfIweX5WxlytHcGOPD3NDiYKMEshFfOjsjmd3PT9rl09Z8n7Zuul693t+ID6MjmzK6ogA4qMjbDR6iwDig6EQSwDxEUuw3O0RH+XOP7b3FsVH2NRUn9xy5hlTctc9tQ1O0y/ER2zytC8Lga6Lj7KAC/1EfJQt8WL3F/FR7Hzz7h3iI2/CxT8/4qP4GefZQ8RHnnSLf26L4iP95JZFC6uIDxHhqS7F/yzm1UPERyRZxEckQJqbIoD4MBWHu2IQH+4iM1cw4sNcJK4KQny4istcsV7Ex8h8keHhw8temPFhbihRkFECiI/IYBAfkQBpbooA4sNUHO6KQXy4i8xcwYgPc5G4Kgjx4Souc8VaFB87HhiUn+6syMXLp2TJyVPy67GKzBsWGRmpysbNtae9XHHZpOhmp2V5MeOjLEl3v5+Ij0imiI9IgDQ3RQDxYSoOd8UgPtxFZq5gxIe5SFwVhPhwFZe5Yi2Kj213D8qevZW6cmPLLUMy/hriw9xAoiCzBBAfkdEgPiIB0twUAcSHqTjcFYP4cBeZuYIRH+YicVUQ4sNVXOaK9SY+ntk5IOPjIqctrSYzQMryYsZHWZLufj8RH5FMER+RAGluigDiw1Qc7opBfLiLzFzBiA9zkbgqCPHhKi5zxVoUH7qcZWJCZN2Nh2R42ByyvhSE+OgL9kJcFPERGSPiIxIgzU0RQHyYisNdMYgPd5GZKxjxYS4SVwUhPlzFZa5Yi+Jj/YbaPh4b1h8yx6tfBSE++kXe/3URH5EZIj4iAdLcFAHEh6k43BWD+HAXmbmCER/mInFVEOLDVVzmikV8mIukbkGIDx85WawS8RGZCuIjEiDNTRFAfJiKw10xiA93kZkrGPFhLhJXBSE+XMVlrlhr4uPFPRW5655BWbSwKqsunzTHq18FIT76Rd7/dREfkRkiPiIB0twUAcSHqTjcFYP4cBeZuYIRH+YicVUQ4sNVXOaKRXyYi4QZHz4icVMl4iMyKsRHJECamyKA+DAVh7tiEB/uIjNXMOLDXCSuCkJ8uIrLXLHWxMeu3RX59n2Dsvjkqlx6CTM+woBhxoe5j46bghAfkVEhPiIB0twUAcSHqTjcFYP4cBeZuYIRH+YicVUQ4sNVXOaKtSY+Hn18QPTPuWdPJX941QggPhgJnRJAfHRK7q12iI9IgDQ3RQDxYSoOd8UgPtxFZq5gxIe5SFwVhPhwFZe5YhEf5iKpWxDiw0dOFqtEfESmgviIBEhzUwQQH6bicFcM4sNdZOYKRnyYi8RVQYgPV3GZKxbxYS4SxIePSNxUifiIjArxEQmQ5qYIID5MxeGuGMSHu8jMFYz4MBeJq4IQH67iMlesNfGx7e5B2bO3IldcNiknLqqa49Wvgpjx0S/y/q+L+IjMEPERCZDmpgggPkzF4a4YxIe7yMwVjPgwF4mrghAfruIyVyziw1wkzPjwEYmbKhEfkVEhPiIB0twUAcSHqTjcFYP4cBeZuYIRH+YicVUQ4sNVXOaKRXyYiwTx4SMSN1UiPiKjQnxEAqS5KQKID1NxuCsG8eEuMnMFIz7MReKqIMSHq7jMFYv4MBcJ4sNHJG6qRHxERoX4iARIc1MEEB+m4nBXDOLDXWTmCkZ8mIvEVUGID1dxmSvWmvjYuHlIJiZE1lw7KSMj7PERBgx7fJj76LgpqBTiY8vt2+XOex+cDuVLN14pKy48a/rrfa+9LqvXfk2e3fV88r1v3bJWTl+6ePr9HQ89IV/cfGfy9UXnLZMNN6yS4eGjkq8RH27GOoW2QADx0QIkDmlIAPHB4IglgPiIJVju9oiPcucf23tr4mP9hqGkSxvWH4rtWqHaIz4KFWdPO1N48TExcVC23vOAXHHJR+TY+cfIC3tfkmtu/KpsXHdVIjf0/fU3b5NlH/5gIkP0/XWbvikb135aTlq4QJ7euVu2fH27bN10fdJeJYq+1ly9EvHR06HKxXpBAPHRC8rFvQbio7jZ9qpniI9ekS7mdRAfxcy1V72yJD7Gxiqy9fZBGZkvsuY6xEd6DCA+evWJKN51Ci8+spHVEx1fue07svGmqxKxkX1fRcei941OzxDJihBmfBTvQ1HmHiE+ypx+fN8RH/EMy34GxEfZR0Bc/xEfcfzK3tqS+HhxT0XuumdQFi2syqrLJ8sezYz+Iz4YDp0SKJ34CMta1nxmZTLjIysyFGSY1bH6suUzZoPoe9kZIYiPToce7SwSQHxYTMVPTYgPP1lZrRTxYTUZH3UhPnzkZLXKfosPFR362jdekSUnT8mPnxqQU5dWZcVyxEd6zCA+rH6C7NdVOvGRXaqi4mP79x+bsW9HVnys/Og503t+ZMXHoUlbmw0NDVbEWk32PwZUGAgMDlRkqlqVqq1hTUBOCFQqIgOVikxOMYCcRGauTH6GmYvEVUEDA7Vyp6ZclU2xRgj082fYG/tF1vzVkUta/sP5A6J/eB0moD8neEGgEwKlEh8qNMZeeXWG5Iid8fHK+EQn3HNr8675c+W3vzuY3LzygkC7BOa/bY5MHJySA2/y24V22XG8yJzBAXn70UOy7/WD4IBARwTePX9YfvO7CeRrR/Ro9LbhOQmEP0y8CQwItE1gztCAvH14SPb9vvc/w17YU5Fv3nWk4LjoI1PyP57Jv+nTYb5nZLjtbGkAASVQGvFRT3ooAJ3BwR4ffBggUCPAUhdGQgwBlrrE0KOtEmCpC+MghgBLXWLo0bafS12e2Tkg9z9wpPi44rJJOXER4iM9Olnqwme1UwKlEB/Z5S1pWDzVpdOhQ7siEkB8FDHV3vUJ8dE71kW9EuKjqMn2pl+Ij95wLupV+ik+Hn18QPSPvhafXJXhYZHxcZELz5+S0VHEB+KjqJ+63var8OIjbGb67K7nZ5C96Lxl00tessd865a103t6aKMdDz0hX9x8Z9I+3U6/ZnPT3g5YrpYvAcRHvnyLfnbER9ETzr9/iI/8GRf5CoiPIqebf99aFR979lbk12MVOfOM7m0mc+93B2X3cxW54PwpWXJyVUZGkB2NEmfGR/6fhaJeofDiI+/gEB95E+b8vSSA+Ogl7eJdC/FRvEx73SPER6+JF+t6iI9i5dnr3rQqPtZvGEpK69YylLGxiuz43oDof7t1zl6z6+X1EB+9pF2sayE+IvNEfEQCpLkpAogPU3G4Kwbx4S4ycwUjPsxF4qogxIeruMwVO5v4CMtQFi2sSnjs7LlnT4n+iX1tvX0wkR762rD+yCe7xJ6/aO0RH0VLtHf9QXxEskZ8RAKkuSkCiA9TcbgrBvHhLjJzBSM+zEXiqiDEh6u4zBU7m/hIz/II4uPUpVVZsTz+KXjh3CpVVl0efz5zYLtcEOKjy0BLdDrER2TYiI9IgDQ3RQDxYSoOd8UgPtxFZq5gxIe5SFwVhPhwFZe5YlsRH7oHx8OP1DYh1U1HV1/dnqgYH9f9QUSWLK6K/v+JCRGd8TEyX2TNdcz2aGVQID5aocQx9QggPiLHBeIjEiDNTRFAfJiKw10xiA93kZkrGPFhLhJXBSE+XMVlrthG4kOXoaicCLIjLEvRr9tdmhKe3nLa0qrseq62vEXlB7M9Wh8OiI/WWXHkTAKIj8gRgfiIBEhzUwQQH6bicFcM4sNdZOYKRnyYi8RVQYgPV3GZK7aR+HhxT2V6X49s0a2Kj2d2Dsj9D9RmimRfw3NFLvjIlJy2NH6/EHNQcygI8ZED1JKcEvERGTTiIxIgzU0RQHyYisNdMYgPd5GZKxjxYS4SVwUhPlzFZa7YVsWH7u2xZ09Fxl+TZKmLPnp2eLh+d3Q2h7637e5B0cfghpcubdH2Fy9HeLQ7EBAf7RLj+EAA8RE5FhAfkQBpbooA4sNUHO6KQXy4i8xcwYgPc5G4Kgjx4Souc8W2Kj7WXDspOx4YSESG7tUxeny14dNddGmLHrdvvCLj47Uu6wyPdV84lDzJRfcJ4dUeAcRHe7w4+jABxEfkaEB8RAKkuSkCiA9TcbgrBvHhLjJzBSM+zEXiqiDEh6u4zBXbSHzs2l2Rb99X2+Nj8clVufSSyRkzOGbbn2PHA4Py052HZ3qkz2EOgJOCEB9OgjJYJuIjMhTERyRAmpsigPgwFYe7YhAf7iIzVzDiw1wkrgpCfLiKy1yxjcRH2JBUl6dcvHxSTlxUlfA97cTIiMiaa+s/kUU3RU1vhqrHn3v2VMMZIuagGCwI8WEwFCclIT4ig0J8RAKkuSkCiA9TcbgrBvHhLjJzBSM+zEXiqiDEh6u4zBXbTHykhUVafGhHGm1yun7D0BH9vOKymjzh1RkBxEdn3GglgviIHAWIj0iANDdFAPFhKg53xSA+3EVmrmDEh7lIXBWE+HAVl7liG4mPsFwlvRHpj58akIcfOfyUlnoyI/s0mAvOn0r2AzlhtPFmqOagGCwI8WEwFCclIT4ig0J8RAKkuSkCiA9TcbgrBvHhLjJzBSM+zEXiqiDEh6u4zBXbSHyEJ7Kk5UZWatR7OkuQI/oUmBXLJ83112tBiA+vyfW/bsRHZAaIj0iANDdFAPFhKg53xSA+3EVmrmDEh7lIXBWE+HAVl7liG4mPsE9HvVkdYclLvX07wkwRnelx5hlT5vrrtSDEh9fk+l834iMyA8RHJECamyKA+DAVh7tiEB/uIjNXMOLDXCSuCkJ8uIrLXLGNxEfYp6PePh5h5ke9J7vUmylirtMOC0J8OAzNSMmIj8ggEB+RAGluigDiw1Qc7opBfLiLzFzBiA9zkbgqCPHhKi5zxXYiPsbHK7Ll1sG6T3aZTZiY67yjghAfjsIyViriIzIQxEckQJqbIoD4MBWHu2IQH+4iM1cw4sNcJK4KQny4istcsfXEx2wzOkIHguBYd+MhGR6ufVcfYatLZPQRuGuuq/+oW3MAnBSE+HASlMEyER+RoSA+IgHS3BQBxIepONwVg/hwF5m5ghEf5iJxVRDiw1Vc5orNig+VHo/944Dof+stZQkdqLek5ZmdA3L/AwOy+OSqXHoJG5t2M2zERzdplutciI/IvBEfkQBpbooA4sNUHO6KQXy4i8xcwYgPc5G4Kgjx4Souc8Vmxce93x2U3c9Vkjpn26C03iam+qhbfapLvU1PzXXcWUGID2eBGSoX8REZBuIjEiDNTRFAfJiKw10xiA93kZkrGPFhLhJXBSE+XMVlrtggPv7pnw/Kw39fm+mhL521ceH5UzIyUq1bc3iyix534EDtkGpVZM/eitR7Eoy5jjsrCPHhLDBD5SI+IsNAfEQCpLkpAogPU3G4Kwbx4S4ycwUjPsxF4qogxIeruMwVG8TH7f/XIfnpzpr0OHVpVVYsn32pyq7dFfn2fYPJ/h4TEzO7ld73w1yHnRaE+HAanIGyER+RISA+IgHS3BQBxIepONwVg/hwF5m5ghEf5iJxVRDiw1Vc5opV8TFH5shf/e+TicD4xMcm5YRRaTjTI3QgbICa7RAbm+YTMeIjH65lOCviIzJlxEckQJqbIoD4MBWHu2IQH+4iM1cw4sNcJK4KQny4istcsSo+/r9/GpJ7vjs162am2cLDI22z359tQ1RznXdUEOLDUVjGSkV8RAaC+IgESHNTBBAfpuJwVwziw11k5gpGfJiLxFVBiA9XcZkr9pe/HJTHHh+Qf36+Khcvn5LTlk61XGN4pG26ARubtoyvrQMRH23h4uAUAcRH5HBAfEQCpLkpAogPU3G4Kwbx4S4ycwUjPsxF4qogxIeruEwVe/8Dg/LMW/t6DM8VWX3NZNMlLukObPzrIZl4a2NThEe+0SI+8uVb5LMjPiLTRXxEAqS5KQKID1NxuCsG8eEuMnMFIz7MReKqIMSHq7jMFPvMzgG5/4GB6Xp0b48li+s/waVR0dvuHkye4qLS5OLl7bc3A8NBIYgPByEZLRHxERkM4iMSIM1NEUB8mIrDXTGID3eRmSsY8WEukoYF/fipARk9vionLmrvBjGcUJ+aseu5Abn4zyaTp2F044X46AbFcp0jPJFFe33siMjJH6jIhRe+2TaEID6Y7dE2urYbID7aRkaDtwggPiKHAuIjEiDNTRFAfJiKw10xiA93kZkrGPFhLpLpglRUvLhnYHo5gL4xOlqVVZfVFxf6W/SxMX28Z0UuOH9S9MkX4bfo6WUFpy3V/RQOPy50bKwiv3650tb+CqHIRuJDn9ChdYyM1Jc0+n635IveSM+bJ8nmmNoXZZR96WaYYVmFiiM9NuYV6g/X06/HXta8KqLXOvOMqbp1xFzTW9ssI61feW27ZzB5gosKiw99UGThCXPkD2++tWaljU7ueGAweQQu4qMNaB0eivjoEBzNBPEROQgQH5EAaW6KAOLDVBzuikF8uIvMXMGID3ORJAU9/MiA6AyP9Eun9OueBnpjv/rqmrjQG2294VaJkF46EKSC3uTvG6/dcGp7fek59PvaNv1qZXNJvWF99PEBUXmidaj42L9f5Bd7DiU3sz96vFaz3vyr9AiSJvyWf2REku/d/70BOXVptSPZkq45PXtAz62v1VcfmpYq4eZ76+2DCYPwuuKyyY5mzmjftW8v7q3ICaNV0esrB5U84+OHK0tnFHjseq4mXy7491MdXdvmSK1flUo4HcPJeJsQWXfjoeT/b719KOGk2a9YPin6VJd3zJsjv/ld++JDr/HMTyty2qnx48gT237UivjoB/ViXBPxEZkj4iMSIM1NEUB8mIrDXTGID3eRmSsY8dH7SNK/CVe5obMDwn/1hjktPXRmgkoKFQ3a7t7vDsr4a5K00ZttvZnW74dXWm6ke6bfX3X5ZDKzIy1Isr3Xm9HR42tyJdy0qkQJIuPb9w0mN/v6uuD8KfnvTx2Uv/svVfnZz+tzDDIiLQXSR7YiWxolpL/tf+iR2uyB9EtnuSgfrVMZ6eyW7BNAtH8r/qy9WRmaUbiZr1fTyHyR006dkmd+OpBkpH2v1+9OpUvvR2p7VwxjJLt/R/YsulxLNzLVV4z4aK86jo4hgPiIoVfutoiPyPwRH5EAaW6KAOLDVBzuikF8uIvMXMGIj95FojMOdnxvQE5cWJshMP1Ei+Hab8X1lb5ZrjeFP0zvr1d1eDKGnmvHAwPJMhe9bCMr1wAAIABJREFUydR9Pf5daulFuHkPszb0XGnZoqJDZUsQHPp++nth5km9G1q9ps6K0Nq1vc5GCS9tt2hRVXY/N3OmiUoKFTy630NaAGk7ZaacwvKdMJNFv6+zOPQVlrjoe8kSm8zkgTTTcGw4Rt8LM0TCcpVfj1WSOlQChSUxelO/5dba9ZRpMsPjtdr/1z7qf89cVpt50OjGX8VIkFZ6Hj1OZ43o94eHa+fUupb9D/VnhDRaxtO7ETz7lbKzanQM7BuvJMtRwkv7uvqawzNyEB9W0pu9DsSHj5wsVon4iEwF8REJkOamCCA+TMXhrhjv4kNvNPQGQ2+y9Kao3tp8d6E0KVj7rDc8erOnSw30/+sNVr9eiI/ekFcZoH8avbIyodFMCB0zep5wE6yfnSUnV6dFh95s6quTPTRUfuhshaw4SNccZo7sn9ClNbXZJyoc9IZfZ4Ckr6213nXPYPLZ1tkmepwuf1GJoDNVVDCEm2IVELV9QWpXUymjy0myy0f0+yoLlIGeP9xI67mCrNFZKUEyZHlvWH8oETL6944y1L7qtbX+evnokiL9eynM9gjXSyTFROO/s7bcMpSwCS/9vGv/ZxsD03JgRDf9rM5YChTGT8wMmTxH+owlR/Nrgiv795rmnmWG+Mgzle6dG/HRPZZlOxPiIzJxxEckQJqbIoD4MBWHu2LaFR+d3Ax1G4o+flBvZvQ3gXrzk153rzcuF//ZVHJzpLXqP5QbyRB9T/cu0Jugbm2S2O2+hvPpDdprr9X6rDdQ2rewvEFrDzdF+l996Q2lbk7Zi351S3xojg///YDoYyl7UXdeWbVzXs31sX88LDP0a72xDi8d62HfizDONeP9ExWZN1xNbrhH5tfGrx6nsyV0KYv+V2/E+/HSJ2VoPXrjHWY7hP1AdGaDiof0hqW/G58j710g8vob9Z/KoWJvtr7MNoMl3f96s0xUQujnJPsYVP2M6TXD/idh6YmyD3ImCBrtb3pWis7cSG7Q35o1om20/7qkRv/ealU86LU10xNGa7JHX0F06nl0PJx7Ti1j5a3vqQTK9lN5//rl2vHhFfYU0afz6CwZnS3S6WdO+/rjpyqy+OTOnxakdQUx0+5Go4iPfnzK278m4qN9ZrSoEUB8RI4ExEckQJqbIoD4MBWHu2LaER/6G7mH/34wuaHRfyTrP5rDb0m71XH9R3S9f4SHJzzce1/tt6zpV5jmHW4+9GZQawwbL+o/yC+9pDYjQs+vv0WtTeWvre3XG4MTF+lU+cM3GN3qTzvnCb891rr1hjf9ym4iOdt59cZBbyL0Zm7JyVPyo8cHk5u4cE49V8gve8PXTr3h2EP7h2XO0RNS7fAhF+E39HpjGH57H27MdEmHZqMZdnpj1kmf8myjN9WaT3ZfifRN6bxhST5b6WN0nOteE50+ijbPPsWcO/Zxtspo4+ah6RJ0rKhs0L8PEhl0cm1gqjxQSRGeFKMcgzBspf7ZBMzWb9TkR9hwU2e+aH7Zz7FeZ821kw2fVNNKHc2O0b/j7v1ubQPV2WbehPOEPVT+5OzJpP5WX/r3yJP/z8D0cib9e3S2J9GkZ+fpNfTviwMHRObOlRnnQXy0moCv4xAfvvKyVC3iIzINxEckQJqbIoD4MBWHu2LaER9bbq3tpp99tfIP1bBpXSNA6f0B9Kb3T86emiFV9GYx7BegN4B6jM7U0N+uJstchkWyU8PDtfQ9vfnJTnvP1qLnTD8tIUiS2ZbQ6D/+O70R1RspvdHXKf9ZmVOPk/72PNz86x4H2ncVF2EfhEb7Jsw2KGubXtbW0Yfp+jpjQG+8VTjojZCe/6fPHr5RV/7KUuWSttMxsWK5Htv+DIOwuWR2P4hszdpPnQmiL81lz17dG0GSGT9hxou+F2Yk6X+VUdibQR/pqje+WrN+T9n1SqRotsnMpJdrSzPSn6EwljUD3UcjvZdBmoFmr/KuVzX38i+yWPGhtern8Nvfre2fse4Lh2fM9LIf9fbPCEt/tI4w80yX7OT9CrPddLzo2PvxkwPJpqnJUqH5tT1FgohI15J9THF4T/mqpAgzS5ottwlLl5INdQ/UNmj9r28tDWrWd51RE2auNTtW32fGRyuU+n8M4qP/GXitAPERmRziIxIgzU0RQHyYisNdMa2Kj/T6axUdYep3tsPht37J4y/f2pRQb/D1xk3Xa4dp0eOv1W7c9R/IeoPa6owGvRG/sMESDq0xfWOoYmTrN2auk0/XG6Zma7sgOfT9IBPSx+qN+Tl/XJuyHm4YwjIbvaHRjR9VAqSXzYRp/unzhJt2vREPG1OG9wOPIHL06/DS6ehhurtePz3TRr8OsziU9e7dlRkbQGoderOvsz/CBpPJoyJ/MHMvBn1P/8y4MW/wVIl6Az1M6df30n3P3qwHKaE11Hsc6tiY3iQe3qshbKSpnFXIzDZWlF2rIincjOo5dSyE5RQ6HjXL8NK+VCp6w1jbWLJerlkeIWfNSYVGVnboEoWQR7Zt6F9Y5qIs+rVspRd/oXVDfGidKh70Ubhhdlcvam/lGjrO9WUtwzBTJjxJRuVIeNRxeIRwkLONPnP697F+5sJTfsJGrY24ZGfn6XEqbM9cNpXMvOtkyQ3io5VR2P9jEB/9z8BrBYiPyOQQH5EAaW6KAOLDVBy5F6P/uNfftutNkf7mLvyWXiVD+oas1b046omP8I9cvdlTwaE3+PpKNpVLPUZQj1OB8ehjtUcvzvYKvwHUf0jXm+IfNi/Um3ud3RHESphtof1MP1WiHdDhN+7JxoCPDcgFH9HHeNb2xQivIDPSv8kM1w5LUMKNcthgr50ako1I987cj0Tb6/f1pltvvru9MWttWr8+AaH+b5jTy33SfdS6shs7hmUWOs6SpTh7KvKJSyaT/H83PiT/8PjM2R5ho0ntX3qzzIcfGZwhfJRxMiNnca19ev+EwLfeEy60njAmG03nT38egpAKy0ey/W0nSz1Wb/b0s6DnVYmlnxEdu3rzpkKr3gwenbGiAqvbObdbu7XjuyU+rPXLQz3pGWs6ZpO/Mw7UxqjOkgt/H6b/Lgyz7cJnVdvpbA6dpRc2ntWlP0F4JpvXzq09plf/LtC/P/U6+vewvhoJwFb5IT5aJdXf4xAf/eXv+eqIj8j0EB+RAGluigDiw1QcXS0m/NZYf/sc9tUI+1LUu1DY0yH8Jj29SWKjwtLiQ6+n/9DNzkQIbfUfr42mkes19Tf1WmtyU/nWkxV0Z379Oi1G9EZfaw0blOqxOhuk3swA/Yd5N/ahCH1oJoSCJNHjwyaMQYqE34iGc+lvO1XGPPRI7Te6ehOsN9bhVW99v74XZprojUV6k8euDp63loS0+htU7aNmGGZ8aN91w0KVB8346+amz+yaSJbEJJtBvvWkC+2Pnm/NtYdqNzv31ERMYKC8Wt1jIZmV89YsoXpLi9JP/1i8+MinQTRiG2729GYu5BWWEGmb0B99X4/VvNIbWTY6b3jsqvZRGXa6HKrbY8Li+RAfdlIJ+4Okx3gny6z08xpmrtVbAtTNx+oiPuyMn9kqQXz4yMlilYiPyFQQH5EAaW6KAOLDVBxRxYRpxXrjpRvwNRIQeuOsL52SH1719ne44rLDGyGGmSLJpn9v3ZjqTegrrwzI3KMGZf7Im9ObfYZz6m/VVVyEKdrtzkoIkiHs3xFEgdffeIclJsohWSv/1pMWmoUeRJT+ZrOZRGh2Lovv13uqi44xFUIqE/QGKMy00LF96SW13wx3+9XNm6lmtYUNaHVmks5WUVG04wHdR6Q2GyRvqdWsPk/vIz5spRUkaHhUcPrniK1Ka9UgPiymcmRNiA8fOVmsEvERmQriIxIgzU0RQHyYiqPlYvQ3a2Mv13a0103jdu2uP9NCJYf+1jhsIqk3VTpdOPzjVH+zduH5tb0bdLp9WIYQpv/rsXpTpu+FvRJmKzIsadBj0vtKtNyxOgfqDanu+VHEm/4YLkVp2+hxtjrGt9xa23BSXyo9dGPHIm7QWZQs+9EPxEc/qLd2zV7KxNYqOvIoxEen5HrbDvHRW95FuhriIzJNxEckQJqbIoD4MBVHUkxYLhH2NgjfU9Gh+wHM9nQRnRWhy1rCK32Oej2tt3QjvRFpvTbpJ1p84CSRuXMG5OfP1R53qjNC6u2zYI8yFVkh0Eh8aH26dEqXCOljWBFfVhKzVQfiw1Ye3qpBfPhIDPHhIyeLVSI+IlNBfEQCpLkpAogPO3HoppxBeqiQ0GnvKjHq7YifXpqiIuK0U7s7PT5sPBp221dKulZbZ4ekl5qk9/jQmnWJTR7LEOykRCXdJjCb+NBrNdtXpdv1cD5fBBAfvvKyVi3iw1oi9etBfPjIyWKViI8WUtnx0BPyxc13JkdedN4y2XDDKhkePir5GvHRAkAOcUMA8dH/qPTG7v7vDSabO4ZXds8NXUKiwkGXqpy4sJr8/41/PZTsbJ/nYw51ucFsIqPVx9n2nzIVWCXQTHxYrZu6bBBAfNjIwWsViA8fySE+fORksUrER5NUnt65W7Z8fbts3XS9HDv/GNly+/akxZqrVyI+LI5oaooigPiIwtdWYxUcYbf7sNGlnkCXiOgMC5Ud554zlexloIIjzPRo9EQHC+unER9tDQEOrkMA8cGwiCGA+IihR1vEh48xgPjwkZPFKhEfTVJR0bHofaOy4sKzkiOzIoQZH3aGtf42Ov2Yy2xleiOZPF7xtdo74VnyvehBs9pmqyG9h0KrtXZ6Pf1H44GDk3Lw0NT0pcITFFq5tt7Ih0dM6vG6HKLRS5dt6PKNfr/a6V8rtTZ67Gi6bSvX/MTH/O1jgPhoZYRwzGwEEB+MjxgCiI8YerRFfPgYA4gPHzlZrBLxMUsqExMHZf3N22TZhz84LT5e2PuSrNv0Tdm49tNy0sIFLHVpMqrXbxia9YhGv72erdF+/U352OFlABY/WNQEgWYE0uJNhZw+bUVf+v/DLI9m57D2PuLDWiL+6kF8+MvMUsWID0tp+KsF8eEjM8SHj5wsVon4aEF8rPzoOXL60sXJkVnx8WbqN+MWAp4zNCCWavrs5yZ7huWdx4oc987GQuTV39ZuLMMx+/eL/PKlxjMSull4s9pmu9Yvf1UVlT3tvDq9XkXxVZP/Tb/+aIHIvHmtXf2P3luZPlb5/suvGvN9dZ/Iq79t7bx5HtVO/5rVcfS8irzvvc2OEjl6WOR97y2evKtUKjI4UJFDk4dnDDWnwREQOEzA2s8wsvFFYGCg9vfq1FRvfrb7okO1zQjwM6wZIRvv688JXhDohADiYxZqrcz46AQ6bQ4TeO4X7f/j5Oh5InqDzQsCEIAABCAAAQhAAAIQgAAEINCMAOKjCaFme3z862sHmjHu6fvHveMo2ff6mzJVbV8o9LRQLmaSwPyj58jEm5Ny4E1+Y28yIONFzRmsyNvmDcn47980XinlWSXwrnfMlVdfPyD8CLOakO263jZcW177h4lDtgulOpME5gxV5G1zh2T8D/wMMxnQW0W9e/5cy+VRm2ECiI8m4fBUF8Ojl9K6ToCnunQdaalOyB4fpYo7l86yx0cuWEtzUvb4KE3UuXSUPT5ywdr1k7LHR9eRluaEiI8Wot7x0BPyxc13JkdedN4y2XDDKhkePir5mqe6tACQQ9wQQHy4icpkoYgPk7G4Kgrx4Souc8UiPsxF4qogxIePuBAfPnKyWCXiIzIVxEckQJqbIoD4MBWHu2IQH+4iM1cw4sNcJK4KQny4istcsYgPc5HULQjx4SMni1UiPiJTQXxEAqS5KQKID1NxuCsG8eEuMnMFIz7MReKqIMSHq7jMFYv4MBcJ4sNHJG6qRHxERoX4iARIc1MEEB+m4nBXDOLDXWTmCkZ8mIvEVUGID1dxmSsW8WEuEsSHj0jcVIn4iIwK8REJkOamCCA+TMXhrhjEh7vIzBWM+DAXiauCEB+u4jJXLOLDXCSIDx+RuKkS8REZFeIjEiDNTRFAfJiKw10xiA93kZkrGPFhLhJXBSE+XMVlrljEh7lIEB8+InFTJeIjMirERyRAmpsigPgwFYe7YhAf7iIzVzDiw1wkrgpCfLiKy1yxiA9zkSA+fETipkrER2RUiI9IgDQ3RQDxYSoOd8UgPtxFZq5gxIe5SFwVhPhwFZe5YhEf5iJBfPiIxE2ViI/IqBAfkQBpbooA4sNUHO6KQXy4i8xcwYgPc5G4Kgjx4Souc8UiPsxFgvjwEYmbKhEfbqKiUAhAAAIQgAAEIAABCEAAAhCAAATaJYD4aJcYx0MAAhCAAAQgAAEIQAACEIAABCDghgDiw01UFAoBCEAAAhCAAAQgAAEIQAACEIBAuwQQH+0S43gIQAACEIAABCAAAQhAAAIQgAAE3BBAfLiJikIhAAEIQAACEIAABCAAAQhAAAIQaJcA4qNdYhwPAQhAAAIQgAAEIAABCEAAAhCAgBsCiA83UVEoBCAAAQhAAAIQgAAEIAABCEAAAu0SQHy0S4zjIQABCEAAAhCAAAQgAAEIQAACEHBDAPHhJioKhQAEIAABCEAAAhCAAAQgAAEIQKBdAoiPdolxPAQgAAEIQAACEIAABCAAAQhAAAJuCCA+3ERFoRCAAAQgAAEIQAACEIAABCAAAQi0SwDx0S4xjocABCAAAQhAAAIQgAAEIAABCEDADQHEh5uoKBQCEIAABCAAAQhAAAIQgAAEIACBdgkgPtolxvEQgAAEIAABCEAAAhCAAAQgAAEIuCGA+HATFYVCAAIQgAAEIAABCEAAAhCAAAQg0C4BxEe7xDLHv/Tq/sgz0BwCEIAABCAAAQhAAAIQgAAEmhFYcNy8ZofwPgTqEkB8RA4MxEckQJpDAAIQgAAEIAABCEAAAhBogQDiowVIHIL4yGMMID7yoMo5IQABCEAAAhCAAAQgAAEIzCSA+GBEdEqAGR+dknurHeIjEiDNIQABCEAAAhCAAAQgAAEItEAA8dECJA6pSwDxETkwEB+RAGkOAQhAAAIQgAAEIAABCECgBQKIjxYgcQjiI48xgPjIgyrnhAAEIAABCEAAAhCAAASsEdizt5KUtGhhVR5+ZEDGXq7IqUurctrSqZ6UivjoCeZCXoQZH5GxIj4iAdIcAhCAAAQgAAEIQAACEHBBYP2GoaTODesPyZZbh2R8XOTERdXke1dcNpl7HxAfuSMu7AUQH5HRIj4iAdIcAhCAAAQgAAEIQAACEHBBIIgPlRx33TM4o+bTllbl4uX5yg/Eh4thYrJIxEdkLIiPSIA0hwAEIAABCEAAAhCAAARcEAjiY2REktke2ZcKkTADJI8OIT7yoFqOcyI+InNGfEQCpDkEIAABCEAAAhCAAAQgYJ7Ai3sqR8zyQHyYj40C3yKA+IgcCoiPSIA0hwAEIAABCEAAAhCAAATME8iKj5H5Iv8/e2cCJlV15u+vqnqpRhnAJbYYB5ckwt9ExIwJjmNiVrcxKhPckkiCikoWDSgDGNGgIgElGg1GVFwycSODcR+jEzVmJmTMSNAxYOJGjAaNRnChq7q7qv7Pue1tq4vq7up77q36zr1v+fAg3fec+533d5um3j7Lxk19y2bGh/oYE1sg4sMyesSHJUCaQwACEIAABCAAAQhAAALqCVSKj099sigPPZLuUzfiQ32MiS0Q8WEZPeLDEiDNIQABCEAAAhCAAAQgAAH1BMrFx9g9SnL8MQXx9/zwizf7e0R5ugt7fKh/TNQWiPiwjAbxYQmQ5hCAAAQgAAEIQAACEICAegK++DBLXMzpLUZy+OKjfYeSbHgl5Y1h+rSCtLf3HHEb9gvxETbR5PSH+LDMGvFhCZDmEIAABCAAAQhAAAIQgIB6Ar742GVMSaZO6Tm21hcfxx1dkLVPp+V3a1IybmxJzJ+jeCE+oqCajD4RH5Y5Iz4sAdIcAhCAAAQgAAEIQAACEFBPoJr4MB8zMz0mjC/Kxo0pWbos441j/rzuSMaD+IgEayI6RXxYxoz4sARIcwhAAAIQgAAEIAABCEBAPYFq4qOy6CWXNXknvUS1ySniQ/1jorZAxIdlNIgPS4A0hwAEIAABCEAAAhCAAATUE1i7LiU335YRf2PTagUvvyEjL6xPIT7Up5m8AhEflpkjPiwB0hwCEIAABCAAAQhAAAIQUE/AHF1rfpljbM2vaq9arjHtzLKY1WtSMnKkeMtkan0x46NWUlxXSQDxYflMID4sAdIcAhCAAAQgAAEIQAACEFBPoBapUcs1ZqD+7BEjPmZ8q/b9QBAf6h8TtQUiPiyjQXxYAqQ5BCAAAQhAAAIQgAAEIKCewE23ZmTd0yk56ohiv7M0ahUf/nVm0JOOKHjLZ7LZwREgPgZnxBXVCSA+LJ8MxIclQJpDAAIQgAAEIAABCEAAAuoJLPlBk2zcKDJ9WkHa20tV6/U3QDWfHGiD0/vuT8uvf5Pu7cPM/Dj+6P779S9EfKh/TNQWiPiwjAbxYQmQ5hCAAAQgAAEIQAACEICAagK5nMiCRU1ejQMdVVur+PA3QS0f9EB7hyA+VD8eThSH+LCMCfFhCZDmEIAABCAAAQhAAAIQgIBqArUcZWsGUC4+xo0tySGfL8rIkVvODkF8qI47lsUhPixjRXxYAqQ5BCAAAQhAAAIQgAAEIKCagL8nx34fL8ohBw18Ckv5/h1muYs53tbs32Ha+q9583tmj5jPr16Tlt+tScmuu5TkqC9UFyV+O5a6qH5MVBeH+LCMB/FhCZDmEIAABCAAAQhAAAIQgIBqArVsbOoPoFx8mL1ANmxIeZ+aO6vbEyDmz0uXZbyPmWUz5bNEjju6IGamSH8vxIfqx0R1cYgPy3gQH5YAaQ4BCEAAAhCAAAQgAAEIqCPgCwqz8ejIESVv5sZAG5ZWEx/lg/LbGulh+m7foSTTTyn0ER+DzShBfKh7TJwpCPERMKrPfe5zvS1vuOXOgL3QDAIQgAAEIAABCEAAAhCAgD4C5TMxzEwNs8HpjG8Vqu7ZUV69Oa3FnNpS+TLiY8f2Uu8mqbuMKcnUKX3Fh/+xajSmHPuF3g8/8MAD+oBRkWoCiI8A8RjpUf7FZv6M/AgAkiYQgAAEIAABCEAAAhCAgEoC5eLDL3CgE138azZuTMkvHunZt6P8ZU5tMQLFlyLlszvWrkvJzbdlvM+bJTGVLyM9Kt9/IT9UPjZqi0J8BIgG8REAGk0gAAEIQAACEIAABCAAAWcIBBUfZoDV2lZKECNCyl/+hqfV5Ariw5nHRm2hiI8A0SA+AkCjCQQgAAEIQAACEIAABCDgDAFz2srtd7y3ZKWW/T38wQ0mPqrJDf+I22r3QXw489ioLRTxESAaxEcAaDSBAAQgAAEIQAACEIAABNQTqCYtBtp7o9qAzHKXJT/oObnFtD30oGLvSS7mY9XEx0AnxyA+1D826gtEfASICPERABpNIAABCEAAAhCAAAQgAAH1BCo3JzXiwuzHMdAxs9UG5S9d8aXJksuaZOOmniuriQ//GFyzBKZyGQziQ/1jo75AxEeAiBAfAaDRBAIQgAAEIAABCEAAAhBQT8BsPmrkh/+qJiJqGUSl+PBndPQnPvwNTn1RUl7H+t8fyuamtUDnmn4JID4CPByIjwDQaAIBCEAAAhCAAAQgAAEIqCfg77VhCt17fEk+/cnioEfYVhuUP8PDFxn+TJL+ls1s2JDylsO0t5dk+rSClNeB+FD/2KgvEPERICLERwBoNIEABCAAAQhAAAIQgAAE1BNYsKhJcrmeMoeyoWnlwHxx4YsOs+/H6jUpGTlSZML4vie6+G39WSLmSNuly5pk48aezyA+1D826gtEfASICPERABpNIAABCEAAAhCAAAQgAAHVBIzwMOIj2ypyyMHFfgVFLYOoFB+1tPFniRxyUFHMUhf/hfiohR7XDEQA8RHg+UB8BIBGEwhAAAIQgAAEIAABCEBANQH/RJehnuJSbVD+nh5D6cuXJWZWiJntYdq+sD7FjA/VT40bxSE+AuSE+AgAjSYQgAAEIAABCEAAAhCAgFoCq9ek5fY7emZZmFNczKwLm5d/SstQxIffxr+vqcPsDcKMD5skaGsIID4CPAeIjwDQaAIBCEAAAhCAAAQgAAEIqCVQLh2M9DDSweYVRHyUyxdz7+OOLnji45H7DuNUF5swaIv4CPIMID6CUKMNBCAAAQhAAAIQgAAEIKCVgH98rJmhMemIYCe5lI/NSIzVv0vJju2lIc0eMae73Ht/Wszvc/+12+tyyrFfQHxofXAcqYsZHwGCQnwEgEYTCEAAAhCAAAQgAAEIQEAtAX9/DZuTXKIaHOIjKrLJ6RfxESBrxEcAaDSBAAQgAAEIQAACEIAABNQSQHyojYbCQiCA+AgAEfERABpNIAABCEAAAhCAAAQgAAG1BObNb/Jqmz+vZ3mJphczPjSl4WYtiI8AuSE+AkCjCQQgAAEIQAACEIAABCCglgDiQ200FBYCAcRHAIiIjwDQaAIBCEAAAhCAAAQgAAEIqCRgNhJduiwj7TuUZPopBXU1MuNDXSTOFYT4CBAZ4iMANJpAAAIQgAAEIAABCEAAAioJrF2Xkptvy4g50WXqFMSHypAoyooA4iMAPsRHAGg0gQAEIAABCEAAAhCAAAQiIWBmbOTy4s3YyGaHfovb78jI6jUp+dQni94vbS9mfGhLxL16EB8BMkN8BIBGEwhAAAIQgAAEIAABCEAgEgK2J7L4+3scdURRJoxHfEQSEp02lADiIwB+xEcAaDSBAAQgAAEIQAACEIAABCIh4IuLoDM2NG9saoAx4yOSxyZRnSI+AsSN+AgAjSYQgAAEIAABCEAAAhCAQCQEEB+RYKXTGBFAfAQIE/ERABpNIAABCEAAAhCAAAQgAIHQCTz/QkquuzHj9TvQjI8X1qe8a8wGpuUv/0SXkSNEZpzeHXp9YXTIjI8wKCa7D8RHgPwRHwGg0QQCEIAABCAAAQhAAAIQCJ2AfyKMLdvGAAAgAElEQVSL6Xi/jxflkIOKsnFjSrLZ9zY6zeVEFixq8u4941sFGTnyPfnhixOtJ7qYmhEfoT82iesQ8REgcsRHAGg0gQAEIAABCEAAAhCAAARCJ/DQI2kxv8zLyAtzqsu6p3tmd+y6S4/gGDFC5Hdrej5mxIgRJP4L8RF6JHSokADiI0AoiI8A0GgCAQhAAAIQgAAEIAABCIRO4L770/Lr37wnPswN/GUt1W42do+SHH9MQVavScsLL6S82R9GnDDjI/Ro6FARAcRHgDAQHwGg0QQCEIAABCAAAQhAAAIQCJ2Af5St6bi9veQtczFLWypfZg+PjZt6PjphfEn+8oqI2d/DzBAx1/tCJPQCQ+iQpS4hQEx4F4iPAA8A4iMANJpAAAIQgAAEIAABCEAAAqETKBcfA3W+9/iSbNggsuGVniUvla+gR+GGPqAqHSI+6kE53vdAfATIF/ERABpNIAABCEAAAhCAAAQgAIFQCZglLmaZSrUZHv6NzEyOHdtL3lKWjZtSsnGj9O4JUl4M4iPUaOhMGQHER4BAEB8BoNEEAhCAAAQgAAEIQAACEAiVwNJlGW+5inmVL2Upv8n0aQVvCYz/Kj/hxd8M1fQxYe+idxyuxhczPjSm4lZNiI8AeSE+AkCjCQQgAAEIQAACEIAABCAQKoF583uOqD3qiKKs/l2q6qam8+d1b3FPv53mWR7lRSM+Qn1sEtkZ4iNA7IiPANBoAgEIQAACEIAABCAAAQiERsDM0jAzPsxMjxmnd0ufTU53KHl7eWRbReb+65biw7R9fn1KJowvepuban8hPrQnpL8+xEeAjBAfAaDRBAIQgAAEIAABCEAAAhAIjcDadSm5+bZM7zG05cfaujKTo1YYiI9aSXFdfwQQHwGeDcRHAGg0gQAEIAABCEAAAhCAAARCI2A2NTW/fMnh/9nc4GsnFGTXXd7b1yO0mzaoI8RHg8DH6LaIjwBhIj4CQKMJBCAAAQhAAAIQgAAEIBAagZtuzci6p1Pe/h5myUq5+Ki2r0doN25AR4iPBkCP2S0RHwECRXwEgEYTCEAAAhCAAAQgAAEIQCA0Av6JLv7sjudfSMl1N2a8/hEfoWGmo5gQQHwECBLxEQAaTSAAAQhAAAIQgAAEIACB0Aj4J7P4kgPxERpaOoohAcRHgFARHwGg0QQCEIAABCAAAQhAAAIQCETALGMxp7Qcd3TBa195oov52MaNKVm9JiUjR4q39CVOL5a6xCnNxowF8RGAO+IjADSaQAACEIAABCAAAQhAAAJDJlA+k8OIj3FjS+J/bJcxJZk6pUeGxPmF+IhzuvUZG+IjAGfERwBoNIEABCAAAQhAAAIQgAAEhkTAn+lhjq41rwnjS94pLmZmR/mJLkPq1MGLER8OhqasZMRHgEAQHwGg0QQCEIAABCAAAQhAAAIQqJmAv5ylskE2K5LL9XzUP8q25k4dvRDx4WhwispGfAQIA/ERABpNIAABCEAAAhCAAAQgAIGaCaxek5bb70jLyBEi2WzJ2+Oj8oX4qBknFyacAOIjwAOA+AgAjSYQgAAEIAABCEAAAhCAQM0E7rs/Lb/+Tdqb1TFuj5Lce3+6t+0L63skyCEHFWW/j8drI9NqgJjxUfNjw4X9EEB8BHg0EB8BoNEEAhCAAAQgAAEIQAACEKiZwNJlGe/0lq+dUJBddyn1abf0qoyYJS+HHlSU9va+n6v5Bg5diPhwKCylpSI+AgSD+AgAjSYQgAAEIAABCEAAAhCAQM0E5s1v8q6dP6+75jZxvRDxEddk6zcuxEcA1oiPANBoAgEIQAACEIAABCAAAQjURMA/rrZ9h5JMPyX+x9UOBgXxMRghPj8YAcTHYISqfB7xEQAaTSAAAQhAAAIQgAAEIACBmgiYvT3MHh97jy/JpCMQH4iPmh4bLhqAAOIjwOOB+AgAjSYQgAAEIAABCEAAAhCAQE0E/I1Nk7J56WBQEB+DEeLzgxFAfAxGqMrnER8BoNEEAhCAAAQgAAEIQAACEKiJwPIbMmJObqm2sWlNHcTsIsRHzAJtwHAQHwGgIz4CQKMJBCAAAQhAAAIQgAAEIFATgQWLmiSXE5k+rZCIU1sGg4L4GIwQnx+MAOJjMEJVPo/4CACNJhCAAAQgAAEIQAACEIDAgAQ2bkzJ6jUpeeiRtLCx6XuoEB984dgSQHwEIIj4CACNJhCAAAQgAAEIQAACEIBAVQLX3ZiRNzamZOPG9z591BFFmTC+CDERQXzwGNgSQHwEIGjER+XrhlvuDNATTSAAAQhAAAIQgAAEIACBpBIon+FRziDbKjLj9G7JZpNKpu+4jfiofD3wwAPAgUDNBBAfNaOqfuHLr3dY9kBzCEAAAhCAAAQgAAEIQMAFArffkZG1T6e8vTdGjixZl2yWtJhf5jVyhMh+E4uy38eZ5dEf2NHbtlkzp4NkEkB8WOaO+LAESHMIQAACEIAABCAAAQgoJmCWoZjXgZ8oiv//e48vyaQjCoGqNrM8zMalz6/v2cvD/L95zfhWODIlUFGONEJ8OBKUwjIRH5ahID4sAdIcAhCAAAQgAAEIQAACSgkYSbHkBz3iY9ddSvL8Cynv/80SlLmzuodUtREcRnT8+jc9MzzKX2P3KMnxxwQTKUMqwvGLER+OB9jA8hEflvARH5YAaQ4BCEAAAhCAAAQgAAGlBIzo8Gd5eMKjtUd6bNwk3pKUT32y2O8+HKvXpGXd0yl5Y6PIhg09wqT8ZfraZZeSt4Gp6dOIFV4DE0B88IQEJYD4CEru3XaID0uANIcABCAAAQhAAAIQgIBSAmZ2xn33v7cHh5mV8YtHeoSGeRlZ8bUTqs/UMMLEnyHiD88cUdveLjJuj6LXls1LhxY84mNovLj6PQKID8unAfFhCZDmEIAABCAAAQhAAAIQUEpg5R0Z+d2alJilKGZPDyMqymWIKdtsdNre3ne2RuVMESM8TFszQ4SZHcHDRnwEZ5f0logPyycA8WEJkOYQgAAEIAABCEAAAhBQSmDBoiZv81Ezq8MXFv4RtEZuvLA+5ckM86v8ddOtGW9WiPn4LmNKsmM7szvCiBjxEQbFZPaB+LDMHfFhCZDmEIAABCAAAQhAAAIQUETACA0jKsweHWaZizlmdsbpW25kunZdSm6+LePN9jCzPvxX+YaoZgNUlrOEFy7iIzyWSesJ8WGZOOLDEiDNIQABCEAAAhCAAAQgoISAmd2x5AdNXjX+MbMDnbiy4HtNksv3LHcxG56+sTElf9mQ8pbH2Bx5qwSHujIQH+oicaYgxIdlVIgPS4A0hwAEIAABCEAAAhCAgBICZgaHmclhXubUlbFjS3LoQT17e1R7le8B4m946l8341sFGTmSk1rCjBbxESbNZPWF+LDMG/FhCZDmEIAABCAAAQhAAAIQaCABMzvDzNQwS1s2buwpxMzyOPSg4qDiwrS5/Y6eU1/KX2Zfj6lTqp/20sChOn9rxIfzETZsAIgPS/SID0uANIcABCAAAQhAwAkCGzak5Pn1KW/6v/np97g9SoO+Kaw2ML+9E4OOqEiz8eW4sSWZML7vhphh3s5wNqePVG66GeY9XO/LPNM33ZbplR1mPOb0lUMOqv3kFcPZbIDqv8zyFpPrqJES6OvDdaZR14/4iJpwfPtHfFhmi/iwBEhzCEAAAhCAAATUETBvCM2+Bean32a/gg2v9Oxb4O954Bds3rzv9/GeN+/mWvNTc//EC/Oxasd2+v2MHCkyamTPSRem345cT6+7vnsChvm8+al5fy+zAaVZWuBLGLPBZPm9zWkbla/K/kxbs4mleZV/zvQzlCUKpn7zk39/qYPZDNO0N2OolBtGepjaTBvDzrzJNn/ub6zVaimXUJVjNFn5SzX8DPyjVA1vPyOzH8Uhny9ucQyr35+5R+URreoe1H4K8vMw2RoWhol5mbGbPMznjcQzYzQvk9eEvXueY5PJUDcj9U9wMdLj058cfJaIKxw11on40JiKGzUhPixzQnxYAqQ5BCAAAUUEzD+G/X8gm7Xdrv6jv1akZrzmTVW1cZo3ldXetNbaN9c1joDJNJutfnSm+Zx5w2teJmPzMs+8Lx78N4L9VW/eQBvZYd5AmuUBcXoZSWHe9I4cUZLb78x4M1q8N8U17NHw0CNbLnXw2fiCx/+zz93/sy9+zO9mdoZhbESIn5URRaaG44/uecO+ek3Km8kx2Mv8HWZeRmD1m+e7ssifhVMptiaMN7Mf+u5vYer/3Zq0xyrsvyP9+w9VPJSPz/Sx/MZMr9QYiFMte3gMxtl83mT1xsYeiWZTey33Svo1iI+kPwHBx4/4CM7Oa4n4sARIcwhAILEEzE9G/TcA5o2UeZmfeJp/tOZyQ/tp60AQy2WGua78TYf/hs98vNpPs6u9cfF/klv5D23z5sb8o9f/yWojgvV/wl05lvI3u5UMzJ+N4Oj5KXCP7DFvfs0/3o8/pmd9evmYy/vy7+P/Q9//yX8jxl5+z543jT0/3fWZmFz8n767/sakMmf/OS7P3Z8FUSk5as3Gf479GRHma7PyTZ352jJv+M2bcPN5/w2++Roz/282hDQ1VXuZZ848Z+bNYi6f8mRDW7Zn1ocZnz+WarM2/P7Mm1bzU/qOXErWreuZoWJeZm8GU2v5DArTj6nVPMvjxr73E33/PpVfI7VyKr/O9P2pA3vkhPlVPtOgsj9/hsGvV6W9us1YBhIUpr3/3PpywIyvUk4a9ubvU38ZkicBbsj0Cl2fj/n4QGz7G78vaSr/bqx8PszzU15ztf5M/ub5NBmUS56jvlDwxtDfy58t4z9bZhaLed782UnlMzn8uszvpnbT1vy9YNqYj7EcJciT3tg2iI/G8nf57ogPy/QQH5YAaQ4BCCSGgD81u1x4DDR48wbc/4mruc78g9W8Kdpxh/emJPcnMfw38UOFWz7Lw+aNkP9m0fzjf+Omnmnn5T/1rSZPqtXq/4O+8nPlyw/M5yp/gjzUcWu6vvyNtqnLvIE1vCp/suwLrXLBUUvu5UsbBmJnftJt3oiaN+b9zYKoZUZMrVn7fVUTcP4b1FpzHuhNdHk9/j3Ns+mLhyA/wY/Lnh3m6/T2OzK9ImK/iT2CxIzPPFtt/cyi8b9+qokI8znz/PjLePxrjeTxl+aY/s3/m/vfd3/Gu58ROn4uRmz5gqT8a/VrJxRqmpXlC6r2dpHVv0v1Ck1fHPhCq3Jpi/nzvfentxAktUgaU2fl3+H+cil/89Co/94xS4i0yNiox5qk/hEfSUo73LEiPix5Ij4sAdIcAhCIhED5OnfvH97vTmXv72YDvWE0//ieesJ7R/JVzqDw//FcPkXav2agWRT+lHn/zWdlv2GBqVyyUv5mtXx2xkA/+fOnMZuajMio9g93n2GQn6KGNVZ/PJVT6/03UP59DAN/3wB/bGb85vWXDT2/+z919//fb1v+xtl/w2TekEeVX+99390rwV+7Xzklv5xh+ewD/6f+ZjymzkbmE3bOPv/39m94b1mGGav5uvd/8s4U/Nroe7NCRpoZGD1Lehrxqranh/nYr3+T8mazmK9VX5bUuz7zXJU/S/7fH2bWT/nXZC1fZ/5za/4+MoLJ/Kp2OkrlGP3ZW/7eLP7fvdWkqeuzu+qdrwv3Q3y4kJLOGhEflrkgPiwB0hwCEOiXgD8V2ciD8jfr/k+4q73RrOUn3rbIK6c6D6U/s/HbuD16dsvv7x+k/r4T5ifta59O9/6U1f9HstlA8AVvKn3fad61Soyh1Bv0Wv/NgPnHvxmn2UzPfMz/qW9/8qTyfv3lWfkP/FpmHgQdS73blbMz9zZvtPqbfVMpOGqZtl4usUz/lezM83fv/RlvKrwvjPqTBrXMwKhVCFVu+FnOvfwNYr3z4H4QCEKg2uar5uvJbFxby54pQe5Jm2QQQHwkI+coRon4sKSK+LAESHMIQKDP2mYjNfo7PSEIKv8Yw8H2nfCnXVfew0y99kVD5frzyjXc/htIf0q4/5NJ/pEbJDnalBPw9kt4Ot0706a/JQVQgwAEIACBeBNAfMQ73yhHh/iwpIv4GBjgQLuc14J+sOn5tfTBNcEImJ9MD7a7f7CeaTUUAv7GbOUbBJYvY6g8/rCWn3gP5f7VrvXXq8dploEtE9pDAAIQgAAEIBA9AcRH9IzjegfEh2WyiI+BAc6b32RJmOYQiD8Bfw8KX2iw03z8M2eEEIAABCAAAQgMnQDiY+jMaNFDAPFh+SQgPgYGaDvjY7Dp+Zbx0XwAAv0tfQAaBCAAAQhAAAIQgAAEGkEA8dEI6vG4J+LDMkfEhyVAmkMAAhCAAAQgAAEIQAACEKiBAOKjBkhcUpUA4sPywUB8WAKkOQQgAAEIQAACEIAABCAAgRoIID5qgMQliI8ongHERxRU6RMCEIAABCAAAQhAAAIQgEBfAogPnoigBJjxEZTcu+0QH5YAaQ4BCEAAAhCAAAQgAAEIQKAGAoiPGiBxSVUCiA8eDAhAAAIQgAAEIAABCEAAAhCAAARiSwDxEdtoGRgEIAABCEAAAhCAAAQgAAEIQAACiA+eAQhAAAIQgAAEIAABCEAAAhCAAARiSwDxEdtoGRgEIAABCEAAAhCAAAQgAAEIQAACiA+eAQhAAAIQgAAEIAABCEAAAhCAAARiSwDxEdtoGRgEIAABCEAAAhCAAAQgAAEIQAACiA+eAQhAAAIQgAAEIAABCEAAAhCAAARiSwDxEdtoGRgEIAABCEAAAhCAAAQgAAEIQAACiA+eAQhAAAIQgAAEIAABCEAAAhCAAARiSwDxEdtoGRgEIAABCEAAAhCAAAQgAAEIQAACiA+eAQhAAAIQgAAEIAABCEAAAhCAAARiSwDxEdtoGRgEIAABCEAAAhCAAAQgAAEIQAACiA+eAQhAAAIQgAAEIAABCEAAAhCAAARiSwDxEdtoGRgEIAABCEAAAhCAAAQgAAEIQAACiA+eAQhAAAIQgAAEIAABCEAAAhCAAARiSwDxEdtoGRgEIAABCEAAAhCAAAQgAAEIQAACiA+eAQhAAAIQgAAEIAABCEAAAhCAAARiSwDxEdtoGRgEIAABCEAAAhCAAAQgAAEIQAACiA+eAQhAAAIQgAAEIAABCEAAAhCAAARiSwDxEdtoGRgEIAABCEAAAhCAAAQgAAEIQAACiA+eAQhAAAIQgAAEIAABCEAAAhCAAARiSwDxEdtoGRgEIAABCMSZwJJlK+Tam+7pM8TRO2wrVy2aKbuNGT2koa+891FZ9fhTMv/MqZLNtgypLRdDAAIQgAAEIAAB7QQQH9oToj4IQAACEIBAFQJGfGx49fU+suKxNevkq6cvlBOPP0xmTJtcMzfER82ouBACEIAABCAAAQcJID4cDI2SIQABCEAAAtXEh6Hy3PqX5ZRZl8hpU46USYce4IGqnB2y17jdZenCM2TUiOHiy5JyoufPOrFq26AzSkgLAhCAAAQgAAEINJIA4qOR9Lk3BCAAAQhAICCB/sSHLzrKZ4Ms+7e75LMHfLR3CUxl2/5mfJjrzMufPWIkydwFVwdaThNwmDSDAAQgAAEIQAAC1gQQH9YI6QACEIAABCBQfwIDiQ8jMlbc9XDvrI7K6syskMVX3iIL5pzszfqoJj4qrzF95HKdMu/i5TJxnz17Z4TUf+TcEQIQgAAEIAABCAyNAOJjaLy4GgIQgAAEIKCCwFDEhy8s7nlwVW/t5ctWqomPaktg/MblS2FUwKAICEAAAhCAAAQgMAABxAePBwQgAAEIQMBBArUudXn5lde8PT8O+czE3iUrZjbH3IXXyILZJ3nLX/oTH0t+tKLfWSMOIqNkCEAAAhCAAAQSSgDxkdDgGTYEIAABCLhNYLDNTRfMPVn2HT/W27zULHspP6q2UnzUco3btKgeAhCAAAQgAIEkE0B8JDl9xg4BCEAAAs4SqPU428oNSf1lL6uf/GPvJqXVNi31r3vxpb/2mfVhZofsvNP2nlThBQEIQAACEIAABFwggPhwISVqhAAEIAABCFQQqDyi1ny6v+Nmjaw4Z9G1Xg/mmjNPO1auu/W+3qUu5uPl/fV3nK25rvwoXEKBAAQgAAEIQAACLhBAfLiQEjVCAAIQgAAEIAABCEAAAhCAAAQgEIgA4iMQNhpBAAIQgAAEIAABCEAAAhCAAAQg4AIBxIcLKVEjBCAAAQhAAAIQgAAEIAABCEAAAoEIID4CYaMRBCAAAQhAAAIQgAAEIAABCEAAAi4QQHy4kBI1QgACEIAABCAAAQhAAAIQgAAEIBCIAOIjEDYaQQACEIAABCAAAQhAAAIQgAAEIOACAcSHCylRIwQgAAEIQAACEIAABCAAAQhAAAKBCCA+AmGjEQQgAAEIQAACEIAABCAAAQhAAAIuEEB8uJASNUIAAhCAAAQgAAEIQAACEIAABCAQiADiIxA2GkEAAhCAAAQgAAEIQAACEIAABCDgAgHEhwspUSMEIAABCEAAAhCAAAQgAAEIQAACgQggPgJhoxEEIAABCEAAAhCAAAQgAAEIQAACLhBAfLiQEjVCAAIQgAAEIAABCEAAAhCAAAQgEIgA4iMQNhpBAAIQgAAEIAABCEAAAhCAAAQg4AIBxIcLKVEjBCAAAQhAAAIQgAAEIAABCEAAAoEIID4CYaMRBCAAAQhAAAIQgAAEIAABCEAAAi4QQHy4kBI1QgACEIAABCAAAQhAAAIQgAAEIBCIAOIjEDYaQQACEIAABCAAAQhAAAIQgAAEIOACAcSHCylRIwQgAAEIQAACEIAABCAAAQhAAAKBCCA+AmGjEQQgAAEIQAACEIAABCAAAQhAAAIuEEB8uJASNUIAAhCAAAQgAAEIQAACEIAABCAQiADiIxA2GkEAAhCAAAQgAAEIQAACEIAABCDgAgHEhwspUSMEIAABCEAAAhCAAAQgAAEIQAACgQggPgJhoxEEIAABCEAAAhCAAAQgAAEIQAACLhBAfLiQEjVCAAIQgAAEIAABCEAAAhCAAAQgEIgA4iMQNhpBAAIQgAAEIAABCEAAAhCAAAQg4AIBxIcLKVEjBCAAAQhAAAIQgAAEIAABCEAAAoEIID4CYaMRBCAAAQhAAAIQgAAEIAABCEAAAi4QQHy4kBI1QgACEIAABCAAAQhAAAIQgAAEIBCIAOIjEDYaQQACEIAABCAAAQhAAAIQgAAEIOACAcSHCylRIwQgAAEIQAACEIAABCAAAQhAAAKBCCA+AmGjEQQgAAEIQAACEIAABCAAAQhAAAIuEEB8uJASNUIAAhCAAAQgAAEIQAACEIAABCAQiADiIxA2GkEAAhCAAAQgAAEIQAACEIAABCDgAgHEhwspUSMEIAABCEAAAhCAAAQgAAEIQAACgQggPgJhoxEEIAABCEAAAhCAAAQgAAEIQAACLhBAfLiQEjVCAAIQgAAEIAABCEAAAhCAAAQgEIgA4iMQNhpBAAIQgAAEIAABCEAAAhCAAAQg4AIBxIcLKVEjBCAAAQhAAAIQgAAEIAABCEAAAoEIID4CYaMRBCAAAQhAAAIQgAAEIAABCEAAAi4QQHy4kBI1QgACEIAABCAAAQhAAAIQgAAEIBCIAOIjEDYaQQACEIAABCAAAQhAAAIQgAAEIOACAcSHCylRIwQgAAEIQAACEIAABCAAAQhAAAKBCCA+AmGjEQQgAAEIQMAtAivvfVRW3PWwLF14howaMdyt4qkWAhCAAAQgAAEIWBBAfFjAoykEIAABCOgjYN7gX3nDz+SqRTNltzGj+xT4xqa3ZPrsS2Xy4QfKpEMP8D63ZNkKeWz1uiEJAdNmw6uvy/wzp0o22xIahOfWvyynzLpETptyZG99YXVeq/gw152z6Notbnvi8YfJjGmTwyqHfiAAAQhAAAIQgEDdCCA+6oaaG0EAAhCAQD0IID6qUx6K+KgUR76QmfCRD4Yue+rxTHAPCEAAAhCAAASSTQDxkez8GT0EIACB2BEYqvgIAiCqGR9Baqm1jY34MPcYiGutNXAdBCAAAQhAAAIQaAQBxEcjqHNPCEAAAhCIjMBQxUc1IfDYmnXy1dMX9qnRX+phpMe1N93T53OHfXZi70wIf3bEy6+87l2z17jdt1hG44uTKZMPkjPmXSHmWtP/1445eIulOKaPyj7Nx/x6/OU7T6x9tk9N1182W/YdP7b3Y1GJj4HG69e274SxWyyTMYznLri6z5KkymU2lctr/DEsmHOSzL3oGvHHXHldtb59eVNtn5PKTM+fdWLoS40ie+DpGAIQgAAEIACBQQkgPgZFxAUQgAAEIOASAVvx4UuPcnFg3sBfd+t/yPQTjvD29Ohvxke1ttX2EPHfaJcLE8O42h4kfp/lb8bL6+nI5/vUZvqpVoet+Kg2jlrGW61dLtcp8y5eLu3v27ZXiFReV02a+GKkXCZV2xelVvHh12GY+fu1RLnPiktfR9QKAQhAAAIQiBMBxEec0mQsEIAABCDgLcmotjlnOZpyiVApBGpZxlLtmmpv5s09+3uTX21z1Erx0V+fg8VcTaDYiI/+ZFDlRrHl8mbGqZO9GSe+SFgw9+TeGSiVH+tPVJiPL/nRit4ZM9XGUI1RreKjPybm46sef4r9TAZ70Pg8BCAAAQhAwBECiA9HgqJMCEAAAhCojYDtjA9fnAx0ikk18VHtDb5fceX1/cmVSmExUJ/lNPw3//c8uKoPpPIxDEV8VIqjast1+pMLfi0T99nTWy5STUzUKpvM+OcuvEYWzD7JO6FnIPFhBu7P2qhFfLS1tm4x68SHVylcanvyuAoCEIAABCAAAa0EEB9ak6EuCEAAAhAIRMBWfJibVu75MHqHbfvsRTFU8VHrG/0g4sOfjVG+bKa/ZSLV9reohFzJz++/2j4alfuglPdVKV38k2JG77CdJxx8MVKNd2VN/rKjKMRHpSzy712ZeaCHkUYQgAAEIAABCKgggPhQEQNFQAACEIBAWKs/3S8AACAASURBVATCEB/ltfgSwXxs6cIzZNSI4VX3+GjEjI9qe1SYOsMUH6Y/fxZM+b4n/c2qqJZjudDZeaftt9jUtJblRX4dlfKmGgPbGR9hPYv0AwEIQAACEICADgKIDx05UAUEIAABCIREIGzxYcqqfCOtZY+P/vYACVt8GAZmzPf956remS/V9hEZKEKf2fCthslb72zus39GrRKl1hkf/Umoyva1Lv8J6dGkGwhAAAIQgAAEGkQA8dEg8NwWAhCAAASiIWArPswb9AM+/pE+R8FWio7+7lHLKSe+RKhlc1NfupglJf2d6nLvL34j5bMgyvf7CLrHh78sxeyr4b+qzXypNhPEXG8+bmZ2lB+nW35EcOVRu37NL7701z5H/5qPL73xDu+YXzPTplbxUeuJMP51plZ/fxBTf+UpPtE8qfQKAQhAAAIQgEC9CCA+6kWa+0AAAhCAQF0I2IqP8jfofsGVx8768uLam+7xLin/vD/b4OVXXvc+V21j0Fo3N/XvX9mn+Xi5CCnfk8TsTWFOUDGnoew7YWzvcbG1zm4YiJ9fx3bbjOwVFNVqqzbm/uRG+UNR7USeweRNf8t9KusyvMyr2j4nlXu6VPKty4PLTSAAAQhAAAIQiIwA4iMytHQMAQhAAAIQgAAEIAABCEAAAhCAQKMJID4anQD3hwAEIAABCEAAAhCAAAQgAAEIQCAyAoiPyNDSMQQgAAEIQAACEIAABCAAAQhAAAKNJoD4aHQC3B8CEIAABCAAAQhAAAIQgAAEIACByAggPiJDS8cQgAAEIAABCEAAAhCAAAQgAAEINJoA4qPRCXB/CEAAAhCAAAQgAAEIQAACEIAABCIjgPiwRPvy6x2WPYTbvH2brLz6Rl6KpVK4HdNbIghsM7xFNucLkussJGK8DDJcAi1Nafm7rZrltU35cDumt8QQ2HGbNtnwRofwLSwxkYc60OHDmr3+3trcFWq/dJYMAi3Nafm7tmZ57U2+h2lOfPS2bZrLozbFBBAfluEgPiwB0lwVAcSHqjicKwbx4Vxk6gpGfKiLxKmCEB9OxaWuWMSHukiqFoT4cCMnjVUiPixTQXxYAqS5KgKID1VxOFcM4sO5yNQVjPhQF4lTBSE+nIpLXbGID3WRID7ciMSZKhEfllEhPiwB0lwVAcSHqjicKwbx4Vxk6gpGfKiLxKmCEB9OxaWuWMSHukgQH25E4kyViA/LqBAflgBprooA4kNVHM4Vg/hwLjJ1BSM+1EXiVEGID6fiUlcs4kNdJIgPNyJxpkrEh2VUiA9LgDRXRQDxoSoO54pBfDgXmbqCER/qInGqIMSHU3GpKxbxoS4SxIcbkThTJeLDMirEhyVAmqsigPhQFYdzxSA+nItMXcGID3WROFUQ4sOpuNQVi/hQFwniw41InKkS8WEZFeLDEiDNVRFAfKiKw7liEB/ORaauYMSHukicKgjx4VRc6opFfKiLBPHhRiTOVIn4sIwK8WEJkOaqCCA+VMXhXDGID+ciU1cw4kNdJE4VhPhwKi51xSI+1EWC+HAjEmeqRHxYRoX4sARIc1UEEB+q4nCuGMSHc5GpKxjxoS4SpwpCfDgVl7piER/qIkF8uBGJM1UiPiyjQnxYAqS5KgKID1VxOFcM4sO5yNQVjPhQF4lTBSE+nIpLXbGID3WRID7ciMSZKhEfllEhPiwB0lwVAcSHqjicKwbx4Vxk6gpGfKiLxKmCEB9OxaWuWMSHukgQH25E4kyViA/LqBAflgBprooA4kNVHM4Vg/hwLjJ1BSM+1EXiVEGID6fiUlcs4iP6SFK5zdJ62b9K1yHHS2Gv/QLdcPS2bYHa0QgCiA/LZwDxYQmQ5qoIID5UxeFcMYgP5yJTVzDiQ10kThWE+HAqLnXFIj6ij6Tl1iuk6eE7pDB2guRPXxTohoiPQNhoJCKID8vHAPFhCZDmqgggPlTF4VwxiA/nIlNXMOJDXSROFYT4cCoudcUiPqKNJP3Sc5K98FSRdEY6zlsupe12DHRDxEcgbDRCfAz+DLyx6S2ZPvtSmXHqZNl3/NgtGiA+BmfIFe4QQHy4k5XGShEfGlNxqybEh1t5aasW8aEtEbfqQXxEm1d24Tckvf5p6fr8MdJ11EmBb4b4CIwu8Q0TN+NjybIVssv722XSoQf0CX/lvY/KOYuu9T522Gcnyvwzp0o22yKIj8R/jSQKAOIjUXGHPljER+hIE9ch4iNxkYc6YMRHqDgT1xniI7rIm1b9XFpuWCylEdtIx/wbRVpaA98M8REYXeIbJkZ8lIuN82ed2Ed8PLZmnSz50QpZuvAMGTViuBg5Yl4zpk1GfCT+SyRZABAfyco77NEiPsImmrz+EB/JyzzMESM+wqSZvL4QH9FkbjY0zZ5zgqTe3iT5k74jhY9+0upGiA8rfIlunBjx4adcbcZH5cfKRYhpV77UxZ8Bsu+EsZ4YYalLor9+Yjd4xEfsIq3rgBAfdcUdy5shPmIZa90GhfioG+pY3gjxEU2sLbctlaaHbpfi7ntK7sxLrW+C+LBGmNgOEi8+crlOmXfxcpm4z569s0CeW/+yzF14jSyYfZKMGjm8V3x8ZI/dvGsnH35g734fiI/Efu3EcuCIj1jGWrdBIT7qhjq2N0J8xDbaugwM8VEXzLG9CeIj/GjTG16U7PkniaTSkvvOMim272x9E8SHNcLEdoD4eFd8lMuMauLjtClHyN0P/ncfQWKemo1vd6l6eEZs1SRvbu6WUklVWRTjCIGtshnp7C5KVzcPkCORqSqzKZOSbGtG3t7craouinGHwIitmuXNzV18D3MnMlWVmr9/zCuXL6iqi2LcIOB9D2vJyNsdfA8LLbGLvinyx/8TOfhYkaNPCaXbkVs3h9IPnSSPAOKjxhkfT6x9VvYat3vvPiD+o7I5r+svx7bWJu8bfkl445q8L2f7Ebc2Z6S7UJJCsWjfGT0kjkA6lRIz6yPXxZuOxIUf0oCHtTaJtu+rIQ2NbupAoDmT9u7SVeB7WB1wx+4W6XRKWjJ8Dwsr2OJ/PSDdP7pQUiO3leZLfiLSkg2la/N9ghcEghBIvPgw0GrZ48PMCNl5p+1lxV0P9574Ytqy1CXIY0cbrQRY6qI1GTfqYqmLGzlprpKlLprT0V8bS130Z6S5Qpa6hJdOnw1NTzxbCv9wYGids9QlNJSJ6wjxISJDOdXFnA6z6vGneuUH4iNxXzOxHjDiI9bxRj44xEfkiGN/A8RH7COOdICIj0jxxr5zxEd4EbesuFKafrEytA1NyytDfISXU9J6Soz4KD/O1oQ8eodt5apFM2W3MaO9zMs/f9hnJ/aKDf8UlxmnTu7d0NTMENnw6uveNX97R9eU7vZtsvLqG3kpsslH0r6WQxkv4iMUjIntBPGR2OhDGzjiIzSUiewI8ZHI2EMbNOIjHJRRbGiK+Agnm6T3khjxEVXQzPiIiiz9NoIA4qMR1ONzT8RHfLJs1EgQH40iH4/7Ij7ikWOjRoH4CId89uIzJP3sU9L1uaOla9LJ4XRa1gszPkJHmpgOER+WUSM+LAHSXBUBxIeqOJwrBvHhXGTqCkZ8qIvEqYIQH07Fpa5YxId9JE2P/UJall8kpRHbSMf8G0VaWu07regB8RE60sR0iPiwjBrxYQmQ5qoIID5UxeFcMYgP5yJTVzDiQ10kThWE+HAqLnXFIj7sIvE2ND3va5La9DfJh7yhaXlliA+7nJLcGvFhmT7iwxIgzVURQHyoisO5YhAfzkWmrmDEh7pInCoI8eFUXOqKRXzYRdL871dJ84M/jWRDU8SHXTa07iGA+LB8EhAflgBprooA4kNVHM4Vg/hwLjJ1BSM+1EXiVEGID6fiUlcs4iN4JL0bmopI7pxrpNi+c/DOBmnJjI/I0Ma+Y8SHZcSID0uANFdFAPGhKg7nikF8OBeZuoIRH+oicaogxIdTcakrFvERPJL3NjSdLF2TpgXvqIaWiI8aIHFJVQKID8sHA/FhCZDmqgggPlTF4VwxiA/nIlNXMOJDXSROFYT4cCoudcUiPoJFkvntQ9J67YJINzQtrwzxESwnWrHUxfoZQHxYI6QDRQQQH4rCcLAUxIeDoSkrGfGhLBDHykF8OBaYsnIRHwEC6cxL27wT3t3QdK4U/uFTAToZWhPEx9B4cfV7BJjxYfk0ID4sAdJcFQHEh6o4nCsG8eFcZOoKRnyoi8SpghAfTsWlrljEx9AjaV55tTQ/cFvkG5qWV4b4GHpOtOghgPiwfBIQH5YAaa6KAOJDVRzOFYP4cC4ydQUjPtRF4lRBiA+n4lJXLOJjaJF4G5peME2kVIx8Q1PEx9Cy4erqBBAflk8G4sMSIM1VEUB8qIrDuWIQH85Fpq5gxIe6SJwqCPHhVFzqikV8DC2S3g1NP/tF6fqXU4bW2OJqZnxYwEt4U8SH5QOA+LAESHNVBBAfquJwrhjEh3ORqSsY8aEuEqcKQnw4FZe6YhEftUeSefyX0nr1+XXb0LS8MsRH7TlxZV8CiA/LJwLxYQmQ5qoIID5UxeFcMYgP5yJTVzDiQ10kThWE+HAqLnXFIj5qjKR8Q9Opc6Wwb/QbmiI+asyGywYkgPiwfEAQH5YAaa6KAOJDVRzOFYP4cC4ydQUjPtRF4lRBiA+n4lJXLOKjtkiab79Gmn9+a103NEV81JYNVw1MAPFh+YQgPiwB0lwVAcSHqjicKwbx4Vxk6gpGfKiLxKmCEB9OxaWuWMTH4JGkXvuLtJ03te4bmiI+Bs+GKwYngPgYnNGAVyA+LAHSXBUBxIeqOJwrBvHhXGTqCkZ8qIvEqYIQH07Fpa5YxMfgkbReNksy61ZLV503NEV8DJ4NVwxOAPExOCPEhyUjmrtDAPHhTlYaK0V8aEzFrZoQH27lpa1axIe2RNyqB/HRf17pPz4pTY8/Ik0P39Gzoel3rxdpbWtIwGxu2hDssbgp4sMyRmZ8WAKkuSoCiA9VcThXDOLDucjUFYz4UBeJUwUhPpyKS12xiI++kWSeekwyv/svyfzuV5J6e1PvJ/MnzpXCP9R3Q9PyyhAf6r50nCkI8WEZFeLDEiDNVRFAfKiKw7liEB/ORaauYMSHukicKgjx4VRc6opNvPjo6pTM7x+TzOpfSeaJVZLqeLs3o+LoXaQw4QDvV3GnXRuaHeKjofidvjniwzI+xIclQJqrIoD4UBWHc8UgPpyLTF3BiA91kThVEOLDqbjUFZtI8ZHv8CRH0+pHPekh+dx7smPMhzzR0b3PJ6S0/Wg1eSE+1EThXCGID8vIEB+WAGmuigDiQ1UczhWD+HAuMnUFIz7UReJUQYgPp+JSV2xSxEfqnbe85Sver3WPi3R392SRSklxt/8n3WZmh5Edo7ZXl5EpCPGhMhYniopcfKy891E5Z9G1VWGcP+tEmXToAU6A6q9IxIfT8VF8BQHEB4+EDQHEhw092hoCiA+eAxsCiA8berSNs/hIbXq9ZwmL+fXMEyLFYk/g6YwUPrRX7zKW0vCR6h8ExIf6iNQWGJn4WLJshVx70z2y17jdZenCM2TUiOF9ILyx6S2ZPvtSeWLts3Li8YfJjGmT1UIaqDDEh5OxUXQ/BBAfPBo2BBAfNvRoi/jgGbAlgPiwJZjs9nEVHy23XC5Nj9zZJ9zCnh+Twkc/IYXx+0tp2NZOBY/4cCouVcWGLj58obHzTtvL/DOnSjbbMuCAc7lOmXfxcnnxpb9WFSSqaFUpBvGhPSHqGwoBxMdQaHFtJQHEB8+ELQFmfNgSTHZ7xEey87cdfVzFR9u3j5BUbrMU9t6/Z2bHXvtJKTvMFlfD2iM+Gobe+RtHIj6eXPu8fGLiXkOC88tVT8hHxu26xcyQIXXSgIsRHw2Azi0jI4D4iAxtIjpGfCQi5kgHifiIFG/sO0d8xD7iSAcYR/GR+f1vpfXyOVLcdazkZl0eKb96dY74qBfp+N0ndPERP0QDjwjxkbTE4z1exEe88416dIiPqAnHv3/ER/wzjnKEiI8o6ca/7ziKD3+ZS9cRU6Xr4ONiESLiIxYxNmQQiA9L7IgPS4A0V0UA8aEqDueKQXw4F5m6ghEf6iJxqiDEh1NxqSs2juKjbfaxYjY2zX1nmRR32lUd8yAFIT6CUKONIRC5+DCbnG549XVvvw/zMvt53PPgKhm9w7Zy1aKZstsYPedCB3kkEB9BqNFGKwHEh9Zk3KgL8eFGTpqrRHxoTkd/bYgP/RlprjBu4iP94jOSXXCalEZsKx0Lb9GMfki1IT6GhIuLywhEKj78jU5nnDpZ9h0/Vh5bs05W3PWwJ0GefPq53v8fbANUzYkhPjSnQ21DJYD4GCoxri8ngPjgebAlgPiwJZjs9oiPZOdvO/q4iY/me34szXffKN2fOko6j55ui0dNe8SHmiicKyRy8TH3oqvlrNOO9WZ2mNkf5mWOrn1u/cuy+MpbZMGck53b0LQ8ZcSHc888BQ9AAPHB42FDAPFhQ4+2hgDig+fAhgDiw4YebeMmPrIXTZf0n/4o+dMXSWHshNgEjPiITZR1H0ik4sM/qnby4QfKB3bZSabPvlTKZ38s+dEKJ4+wRXzU/TnlhnUigPioE+iY3gbxEdNg6zgsxEcdYcfwVoiPGIZaxyHFSXyYfT3M/h7m2NqOS24XSafrSDLaWyE+ouUb594jFR8GnJnZccqsS+TlV16XE48/zJvt4S+B2XfCWO/PLr+Y8eFyetReSQDxwTNhQwDxYUOPtoYA4oPnwIYA4sOGHm3jJD6afnm3tNx8mRT+4UDJn3h2rMJFfMQqzroOJnLxUdfRNOBmiI8GQOeWkRFAfESGNhEdIz4SEXOkg0R8RIo39p0jPmIfcaQDjJP4aL3ibMk89T/SOXWOdO/76Ui51btzxEe9icfnfogPyywRH5YAaa6KAOJDVRzOFYP4cC4ydQUjPtRF4lRBiA+n4lJXbGzER2dehs08UqRY9Ja5mOUucXohPuKUZn3HErn48Je1PLH22S1Gtte43dXv8VF5Mk3lIBAf9X1guVu0BBAf0fKNe++Ij7gnHP34EB/RM47zHRAfcU43+rHFRXxkVv9KWpd9Vwof2lvy314cPbg63wHxUWfgMbpd5OKj/CQXzdxMndfedI9XYrmQQXxoTo3awiaA+AibaLL6Q3wkK+8oRov4iIJqcvpEfCQn6yhGGhfx0XLDYmla9XPpnHyadH96UhSoGton4qOh+J2+eaTiw0iD8uNstZJaee+jsurxp2T+mVMlm22R8j935PN9TqOpHAMzPrSmSl1BCCA+glCjjU8A8cGzYEsA8WFLMNntER/Jzt929LEQH6WStM2aLKm3N0nH+T+W0nbttljUtUd8qIvEmYIQHyJSOSvlsTXrxD9q1yRZfgxv5Yk0iA9nnnUKrYEA4qMGSFzSLwHEBw+HLQHEhy3BZLdHfCQ7f9vRx0F8pJ/5P8le8m0p7jhGcvOusUWisj3iQ2UsThQVqfgwBIxU2OX97TLp0APUAvGP3D3kMxO943XLay5f6vKRPXaTeRcvl8mHHyj7jh/rjQfxoTZWCgtAAPERABpNegkgPngYbAkgPmwJJrs94iPZ+duOPg7io3nl1dL8wG3SddCx0nXkibZIVLZHfKiMxYmiIhcfRir8ZOWDctZpx3rLSDS+crlOT2hsevMd+dX/PFl1j4/Tphwhdz/43zJxnz37SJyOfEHVkLKtGcl1FkRKqsqiGEcImG/6hUJJCkUeIEciU1VmOi3S3JSWfGdRVV0U4w6BttaMdPA9zJ3AlFXa1JT2Kuru5u8gZdE4UY73PSyTlnyXu89P56yvSOkvf5Lmc5dK+gN7OsF9qEWa7xO8IBCEQKTiY6ATXUyxWk51qZyVYvb4WHHXw96JM+ZllrqYU2mq1fvG251BuEfWZuRWzfLmO91SxHxExjjOHW+dbZJ8d1G6+EdjnGOObGxN6bSYf5C81dEV2T3oON4ERm7VIpve6eQ7WLxjjmx0bS09b4g8ecYLAkMk0JRJi3mGnP0e9tpfJDXrSyJbj5DSZStFUqkhEnDj8lFb6/xBuhv0kl1lpOLDBbT+bI/y5StmlsrchdfIgtknyaiRwz3xYT6/807be0LE3wTVjI+lLi6kTI21EmCpS62kuK4aAZa68FzYEmCpiy3BZLdnqUuy87cdvetLXZofWCHNK5dJ9z8eLJ1fmWmLQ217lrqojUZ9YXURH2az0K+evrAPjOsvm927T0ajKZkZHxtefb3PqS6VMz5mnDrZq7fyBBjER6PT4/5hEkB8hEkzeX0hPpKXedgjRnyETTRZ/SE+kpV32KN1XXxkL5kh6WeelPyp50lh/P5h41HTH+JDTRTOFRK5+Cg/IWXUiOEeIH8z0dOmHKli01N/1sc9D67y6itf0lK+uam/oWm5KPnbO7qmU7Zvk5VX38hLscQeDc59NSooGPGhIASHS0B8OByektIRH0qCcLQMxIejwSkp22XxkcptlrYZR4pkMrL5kp+JtLQqoRp+GYiP8JkmpcdIxUe1ZSQ+WCNEKpeNuAidGR8upkbN/RFAfPBs2BBAfNjQo60hgPjgObAhgPiwoUdbl8VH06oHpOWGRVL48Mcl//ULYh0m4iPW8UY6uEjFh5ktMfeiq70TXXYbM7rPQMysj8VX3iIL5pws/kyQSEcaUeeIj4jA0m1DCCA+GoI9NjdFfMQmyoYNBPHRMPSxuDHiIxYxNmwQLouP1mXzJbP6Uen80hnS/U+HNYxhPW6M+KgH5XjeI1LxwYyP+j80LHWpP/M43RHxEac06z8WxEf9mcftjoiPuCVa3/EgPurLO253c1Z8dHfLsJlHinTmpWPxT6W09Yi4RdNnPIiPWMcb6eAiFR+m8vKjYbXu8WFDmBkfNvRoq40A4kNbIm7Vg/hwKy+N1SI+NKbiTk2ID3ey0lipq+Ij89Rj0nrFXCmO2UNys6/QiDbUmhAfoeJMVGeRiw9DU/upLjaJIz5s6NFWGwHEh7ZE3KoH8eFWXhqrRXxoTMWdmhAf7mSlsVJXxUfLLZdL0yN3StfhU6Tr0C9rRBtqTYiPUHEmqrO6iI84E0V8xDnd5I0N8ZG8zMMcMeIjTJrJ7Avxkczcwxo14iMsksnsx1Xx0Tb7WEltel1yZ18lxffvFvvwEB+xjziyASI+LNEiPiwB0lwVAcSHqjicKwbx4Vxk6gpGfKiLxKmCEB9OxaWuWBfFR/rFZyS74DQpjdhWOhbeoo5pFAUhPqKgmow+ER+WOSM+LAHSXBUBxIeqOJwrBvHhXGTqCkZ8qIvEqYIQH07Fpa5YF8VH8z0/lua7b5TuA4+QzmO+oY5pFAUhPqKgmow+IxEf5hjb6bMvla8ec7Bcf+t/yBNrn61Kc69xu8vShWdwnG2IzxqnuoQIM4FdIT4SGHqIQ0Z8hAgzoV0hPhIafEjDRnyEBDKh3bgoPrIXTZf0n/4o+W8tlMK4jyYiOcRHImKOZJCRiI9IKlXaKTM+lAZDWYEIID4CYaPRuwQQHzwKtgQQH7YEk90e8ZHs/G1H75r4MPt6mP09pKVVNn//TpF02haBE+0RH07EpLJIxIdlLIgPS4A0V0UA8aEqDueKQXw4F5m6ghEf6iJxqiDEh1NxqSvWNfHR9Mu7pOXmH0hhn09I/uRz1PGMqiDER1Rk498v4sMyY8SHJUCaqyKA+FAVh3PFID6ci0xdwYgPdZE4VRDiw6m41BXrmvhovWKuZJ56TDq/Nlu6P/YZdTyjKgjxERXZ+Pcbuvjw9/fob1+PcqTs8RH+A8YeH+EzTVKPiI8kpR3+WBEf4TNNWo+Ij6QlHu54ER/h8kxab06Jj868DJt5pEixKB2X3C6l7LDExIX4SEzUoQ80dPEReoXKO2TGh/KAKG9IBBAfQ8LFxRUEEB88ErYEEB+2BJPdHvGR7PxtR++S+MisflRal82X4gf3ktyMS2yH7lR7xIdTcakqFvFhGQfiwxIgzVURQHyoisO5YhAfzkWmrmDEh7pInCoI8eFUXOqKdUl8tNywSJpWPSCdXzxFuj/zRXUsoywI8REl3Xj3jfiwzBfxYQmQ5qoIID5UxeFcMYgP5yJTVzDiQ10kThWE+HAqLnXFOiM+SiVpm3GkpHKbpeP8H0tpu3Z1LKMsCPERJd149x26+GCPj8Y+MOzx0Vj+rt8d8eF6go2tH/HRWP5xuDviIw4pNm4MiI/GsY/DnV0RH+lnnpTsJTOk2L6z5M5dHgf0QxoD4mNIuLi4jEDo4iNpdJnxkbTE4z1exEe88416dIiPqAnHv3/ER/wzjnKEiI8o6ca/b1fER/PKZdL8wArp+vwx0nXUSfEPpmKEiI/ERR7agBEfligRH5YAaa6KAOJDVRzOFYP4cC4ydQUjPtRF4lRBiA+n4lJXrCvio+2cr0jqtQ2SO/NSKe6+pzqOUReE+IiacHz7R3xYZov4sARIc1UEEB+q4nCuGMSHc5GpKxjxoS4SpwqKrfjI50Ras05l4WKxLoiP1Kt/lrZzvyalYVt7x9gm8YX4SGLq4Yw5EvHh7/Px1WMOlutv/Q95Yu2zVavda9zusnThGTJqxPBwRtOAXhAfDYDOLSMjgPiIDG0iOkZ8JCLmSAeJ+IgUb+w7j6X46O6Wtu9Olfz0+VLccZfYZ9jIAbogPpofuE2aV14t3RM/L51TzmokrobdG/HRMPTO3zgS8eE8lSEMAPExBFhcqp4A4kN9RKoLRHyojseJ4hAfTsSktsg4io/M2v+V1h/MFmltk9w3FkjxAx9Wy9/1wlwQH2ZTU7O5af6U86Sw9/6uIw9UP+IjEDYaiQjiw/IxQHxYAqS5KgKID1VxOFcM4sO5yNQVjPhQF4lTBcVRfLSsWCpNv3hvSUN+2jwpTDjAqVxcKVa7+Ei985a0nTnJw7n50rsSu/wJ8eHKV5S+OiMRH7UeactSl/AfCI6zDZ9pknpEfCQp7fDHivgIn2nSekR88ErjSgAAIABJREFUJC3xcMcbR/HR9p0vS+r1V6Qwfn/JrPkvD1jnsd+U7k9+IVx49CbaxUfTqgek5YZFUvjwxyT/9QsTmxjiI7HRWw88UvHx2t82ylWLZspuY0ZbF6q1A2Z8aE2GuoIQQHwEoUYbnwDig2fBlgDiw5ZgstvHTXykN7wo2e9OldLWI6Rj8U+l6eE7pOW2H4qUStJ18HHSdcTUZAce8ui1i4/WZfMls/pR6TzudOn+xD+HPHp3ukN8uJOVtkojER/+IFfe+6ics+haOeyzE2X+mVMlm23RNn7rehAf1gjpQBEBxIeiMBwsBfHhYGjKSkZ8KAvEsXLiJj6aH1ghzSuXSff+h0jnl2d4aWR++5C0Xvc9kWJBuj/2GemcMksknXYsKZ3lqhYf3d0ybOaRIp156Vh4i5RGbKsTYh2qQnzUAXJMbxGp+DDMcrlOmXfxcrnnwVVy/qwTZdKh8VqXiPiI6VdGQoeF+Eho8CENG/EREsgEd4P4SHD4IQw9buIju2SmpP/4hORP/a4Uxv9jLyFvw9MrzxXpykth7D6Sn36+SHP8frgYwiMxpC40i4/MU49J6xVzpfj3H5TcnKVDGlfcLkZ8xC3R+o0ncvHhD+W59S/LKbMu8f4Yp+UviI/6PazcKXoCiI/oGcf5DoiPOKdbn7EhPurDOa53iZP4SHW807ORZTotmy/5mUhLa5/Y0i+sk9YrzpbUO29KccyHJP/NhVLaanhco63LuDSLj5abfyBNv7xLuv75BOk67Ct14aH1JogPrcnor6tu4uOxNevkq6cv9Ihcf9ls2Xf8WP10aqgQ8VEDJC5xhgDiw5moVBaK+FAZi1NFIT6ciktdsXESH5nfPiyt114ohXEflfy3ev79XPlK/fVlyX7/TEm98VcpbT9acmcsktI2O6jLxZWCNIuPttnHSmrT65Kbe6UUd/6AK0gjqRPxEQnWRHQaufgoP+HlxOMPkxnTJscKLOIjVnEmfjCIj8Q/AlYAEB9W+GgsIogPHgMbAnESHy3Xf0+afvOgdB49Xbo/dVS/WFKb/iatl54pZiNUswlqfsbFUtxxFxuMiW2rVXyk//RHyV403dvXw+zvkfQX4iPpT0Dw8UcqPpYsWyHX3nQPm5sGz2fILTnOdsjIaFBGAPHB42BDAPFhQ4+2hgDig+fAhkBsxEepJG0zjxKz3KXj/BultN2OA2JJdbwtrT+YI2b5Syk7zNvzo/jBvWxQJrKtVvHRfPeN0nzPj70jjM1Rxkl/IT6S/gQEH38k4sOf5cFxtsGDCdoS8RGUHO0MAcQHz4ENAcSHDT3aIj54BmwJxEV8pJ/7vWQXny7F9p0ld+7y2rB05aX16gsk8+QqkUyT5KfOkcI+n6itbQOuSr/yomQvmCal1mEi2TYpZbeq+H2YSNtWUmptk1LbMJHWYZ7UkWzl721SGjY8lJNttIqP7ILTJP3iM5L/xgIp7LlvA9LSdUvEh648XKomUvHxxNpnB2Sx17jdZenCM2TUCHc3Y2Kpi0uPO7UORgDxMRghPj8QAcQHz4ctAWZ82BJMdvu4iI/mO6+X5vt+Il2f/aJ0/cspQwq15caLpenX93ttBlsmM6SOQ7645d+WSNN/3Rdar6W/GyXFnT/onXpS3Hl3bx+MwWbKVN5co/hIbXxN2uYcJ9LaJpsvvTM0Xi53hPhwOb3G1h6J+GjskOp7d8RHfXlzt2gJID6i5Rv33hEfcU84+vEhPqJnHOc7xEV8ZC88RdJ/fk7y314shQ/tPeTImn92rTTf37MXRNfnjpauSScPuY8oG6Te2ihtc48T6e6O8jZSatu6R4D8/Qe8371f7X8vkkpVva9G8dH0yJ3ScsvlUphwgOSnzYuUlyudIz5cSUpfnYiPQTLxl+3MOHVy1ZNoEB/6HmoqCk4A8RGcHS1FEB88BbYEEB+2BJPdPg7io/cn/C2tsvn7dwZewtH08B3SctsPRUolb8lL/sSzA/cV9lPli5nuT/yzdB53un33pZKkX/mzpF58xlsSkn7xj97vqXfe2rLvllYp7rTbuzND3pUho3cVaWoSjeKj9fI5kvn9b6Vzyizpnvg5e1Yx6AHxEYMQGzQExMe74HO5Tpl38XK558FV3kfOn3WiTDr0AEF8NOjJ5LYNIYD4aAj22NwU8RGbKBs2EMRHw9DH4sZxEB9Nj94tLTdd1iMrTj7HKpfMbx+S1usXiRS6pTB2H8mfNl+kpdWqT+vGXXlpm3W0pPId0jHfbNzabt1lfx2k/vZqrwRJ/6lHihixtMUr0yTFHceIjPmgZHffQ958365SfP/uIq3ZyGqrqePOvAybeaRIoSAdS37Ws8cJL0F88BAEJYD4EBFfekzcZ09PdpS/EB9BHy3auUgA8eFianpqRnzoycLVShAfriano+44iI/WK8+RzBOrpPOEs6R7v89bg8384XfSuvQckXzOezOfP/173rG3jXo1/WKltKy4Ugrj95f8qefVvYzU25vEHA/bMzPkGe//U6/9xZsZ0+eVSknxfe+Xklke07tU5oNS2qp++xJmHv+ltF59vhQ/8BHJzVxSd1Zab4j40JqM/roQHyKy8t5H5YU/b5AZ0yZvkVil+PD/vO+Esd71LHXR/5BTYe0EEB+1s+LKLQkgPngqbAkgPmwJJrt9HMTHsG8dJtLVKR2LVkhp+MhQAjVv7lt/MFtS77wpxdG7SO6cq0PpN0gnbbOPldSm1yV31qVS3G3PIF2E3iaV2yypF5+VlpeekZaXn5PO5/4g6Zeeq3qf0qjt31smYzZSff/uYj4WxavlhkXStOoBb4Nbs9Etrx4CiA+ehKAEEB8ismTZCrn2pnt6GY7eYVu5atFM2W3M6D5LXT6yx27ecpjJhx/Yu98H4iPoo0c7jQQQHxpTcacmxIc7WWmtFPGhNRk36nJdfGSeekxar5grxV3HSm7W5aFCT736Z8kuPkPMjIfOr8yU7n88ONT+a+ks89hD0rp8QSTjq+X+g11TucdHev3TPbND/vxcz5KZ59dVlyFbj+jZONWIEF+GjNhWUpvfktTmt0XM7++YX296H5PNb/f+2ft/7/Nviphrcpu3uEfHd6+T0vveP1j5ifk84iMxUYc+0MjEh5lFceUNP+sVCKbyx9ask6+evtAbhL+HRugjGmKH/jKXcplhal9x18PeUbvmNX32pXLalCPk7gf/WyqXwxSKFVPjhnj/sC/PpFOiraawx0h/0RFIp1JSMv/peqyjGzA9h0rA7JOfSqekqOzvxVAHSWeREuB7WKR4Y9+5+R5mXkVHv4nlr7tUOu//d2k9+iRpmTQl9Ly67v93yV13qaS22V62Xroy9P4H6/Cd2VOl+MIfpW3GBdL0sU8OdnndP+99DzNLXAZ4fop/ek4KL/xBiuufkcLzf5Di809LqWNLWWFbfGrkNpLaarikR4+RtpkX2nYXq/bm+wQvCAQhEJn4MLMozMtfPmKWiMy96Go567RjZfQO220xcyJI8WG0qSY+ype3fGCXnTzx8cTaZ2Wvcbt7MmTUiPfW973yRi6MMkLrY/uRrfL6pk5nv+mHBoKOAhEYuXWzdOSLku8qBGpPo2QTaG5Ky/C2JvnbW53JBsHoAxN438is/HVTDvkamGCyG27V1uQBeKcj2mNSo6Lc8q/Heptvds5dKqUxHwr/NoVuaTn7K5J646/S/cVTpPC5LZd4h3/Tnh7Tax+X5ktneZuZdl7w436PlI3q/rX029ycluHZoX8PM3uEpMzMkD89450sY/4/1fGOlIZtLTJsuJSGDRfZauue33s/trXIVpWfM3/eWqS5pZZyE3vNDqMavOlsYsm7P/BIxEe1DUHNbA8zi2L+mVMlm23xZn+U/7mRKI2k2eX97b0bm5ZLmlEjh3viw8wI2Xmn7beomaUujUyOe4dNgKUuYRNNVn8sdUlW3lGMlqUuUVBNTp8uL3VJ/+UFyc4/2dt4tGPxTyMLrek3D0rL9d/zNunsuPCmup1cYvYYyaz9X+k85hvSfeARkY3PpmONx9najCeubVnqEtdkox9XZOLDn91h9skwr8oZIM+tf1kWX3mLLJhzcp8ZFNEPecs7GAkzd8HVvctyzFKXVY8/5UmajnzeEx8zTp3s7etR/jkjcBAfjUiMe0ZFAPERFdlk9Iv4SEbOUY4S8REl3fj37bL4aP75rdJ8+zXSvf8h0vnlGdGFVSpJ9rsnSvqVF6Xr0C9L1+HhL6mpLN5sFJq94BRvNkPHwltEmht8pG4/dBEf0T12YfaM+AiTZrL6qqv4KJ9VoUl8mMiN0Dhn0bVe+uVLWqrNXjESZ8Orr3ti5G/v6FoS0L5NVl59I89Sl2R9HYc2WsRHaCgT2RHiI5GxhzpoxEeoOBPXmcviI3vJDEk/86TkTzlPCnvvH2l25rhcc2yutGa9WR9RH9Hact1Cafqf/5Sug4+TriOmRjo2m84RHzb06tcW8VE/1nG7UyTio3LfjGr7aJhZFkt+tGKLPTNcA8yMD9cSo96BCCA+eD5sCCA+bOjR1hBAfPAc2BBwVXyY/SDaZh7l7Xux+ft3irREPyMiu/Drkl7/B+n+1FHSefR0G+wDtjV7lrSd/WWRdEo6Ftwc2hG9URSM+IiCavh9Ij7CZ5qUHiMRHwZe+ZKQJ59+bgvJUbn0xVXgiA9Xk6PuagQQHzwXNgQQHzb0aIv44BmwJeCq+PCPeS2M3Ufyp3/PFkNN7dPP/J9kL/m2SKZJOs6/UUqjtq+p3VAvavn3q6TpwZ96x+eaY3Q1vxAfmtN5rzbEhxs5aawyMvFhBmvkxrU33eON+/rLZnt7ZJiXf6xt+cc0wqmlJsRHLZS4xhUCiA9XktJZJ+JDZy4uVcWMD5fS0lerq+KjZflF0vTYL6Rz8mnS/elJdQPb+sOzJfN//yPdEz8vnVPOCv2+qdxmyc45TlL5Dsmde60Ud9g59HuE2SHiI0ya0fWF+IiObdx7jlR8xB2eGR/iIwkpJ2eMiI/kZB3FSBEfUVBNVp+Ij2TlHfZonRQfpZK3zMUsd/FmXmy3Y9hY+u0v/dLzkr1gmrfEJgox4W/YWvjwxyT/9QvrNq6gN0J8BCVX33aIj/ryjtPdEB+WaSI+LAHSXBUBxIeqOJwrBvHhXGTqCkZ8qIvEqYJcFB/+kpPSDu+XjvOuqzvv1uULxCy1MRuqmo1VQ3sVC9I2+1hJvbVR8t9eLIUP7R1a11F1hPiIimy4/SI+wuWZpN4iER/+SShPrH22X5ZxWOZiBof4SNKXS/zHiviIf8ZRjhDxESXdZPSN+EhGzlGN0kXx0fyza6X5/luk+zP/Ip1fPDUqNP32m3ptg7SdO0WkWJTc7B9KccyHQqmh6dc/l5YbF0txp90k952rQukz6k4QH1ETDqd/xEc4HJPYSyTiYzCQ5ijbU2ZdIgvmnty778dgbbR+HvGhNRnqCkIA8RGEGm18AogPngVbAogPW4LJbu+i+DBLTcySk/zpi6QwdkJDAmy5+QfS9Mu7pPiBD0tu5vdDqSF73lRJv/KidE6dI937fjqUPqPuBPERNeFw+kd8hMMxib00RHwY0GaD0xV3PSzzz5wq2WyLs+wRH85GR+FVCCA+eCxsCCA+bOjR1hBAfPAc2BBwTXx4R73OOc47vtY7xjadthl+4LapN9+Qtu98WaSrU/LfWiiFcR8N3JdpaDZMNRunlkZuJx0X/ptIOmPVX70aIz7qRdruPogPO35Jbt0w8WFmfSy+8hZZMOdkGTViuLMZID6cjY7CER88AyETQHyEDDSB3SE+Ehh6iEN2TXyYWRZmtkVhwj9Jftq5IZIYelfNdyyX5v+4WYo77Sq57ywbegdlLVq/f6Zk/rBGOr94inR/5otWfdWzMeKjnrSD3wvxEZxd0lsiPiyfAMSHJUCaqyLAjA9VcThXDOLDucjUFYz4UBeJUwW5Jj7842Q7vzJTuv/x4IayNqfKZM/+kne6TP7kc6SwzycC1ZN+6TnJXnCKlLLDJHfRzd7vrrwQH24khfhwIyeNVTZMfKy891FZ9fhTLHUJ+alo3yYrr76Rl2KpFHLPdJcEAoiPJKQc3RgRH9GxTUrPiI+kJB3NOJ0SH93dMuzbh4t0d0vH4p9KaesR0UAZQq/+8bOl7dqlY/6N3jG3Q321XnOBZP73Een63NHSNenkoTZv6PWIj4bir/nmiI+aUXFhBYGGiA82N43uOUR8RMc2CT0jPpKQcnRjRHxExzYpPSM+kpJ0NON0SXxknlwlrUvP8U5RMaepqHh1dXp7fZg9Pzq/PEO69z9kSGV5J8TMO0Eklfb29jB7fLj0Qny4kRbiw42cNFYZifjgONvGRY34aBz7ONwZ8RGHFBs3BsRH49jH5c6Ij7gk2ZhxuCQ+Wm6+TJp+ebd0HfYV6frnExoDrMpdmx69W1puukxKo7aXjvNvFMk01Vxby20/lKaHfibdH/uMdH5tds3ttFyI+NCSxMB1ID7cyEljlZGID40Djaom9viIiiz9NoIA4qMR1ONzT8RHfLJs1EgQH40iH4/7uiQ+zGku5lSX3OwrpDhmDz0BFIvSdu4UMbM3hrI5aWrz29I2+1iRrrzkvnOVFHfaTc+YaqwE8VEjqAZfhvhocAAO3x7xYRke4sMSIM1VEUB8qIrDuWIQH85Fpq5gxIe6SJwqyBXx0bsB6NYjvP09tL0yv31YWq+9UEpbDZeOC28Sac0OWmLzfT+R5juvl8LYfSR/+vcGvV7jBYgPjalsWRPiw42cNFYZqfhYsmyFN+YZ0yZ7v5cvgTnssxOd39jUjAnxofGxpqagBBAfQcnRzhBAfPAc2BJAfNgSTHZ7V8SHOTbWHB/bvd9B0nnCmSpDy14wTdIvPS9dh31Zuv55ysA1dndL29zjJPXWRsl/8yIp/L9/UDmmwYpCfAxGSMfnER86cnCxisjERy7XKfMuXi6TDz9Q9h0/1mNTLkIeW7NOHv3Nk71SxEV4iA9XU6Pu/gggPng2bAggPmzo0dYQQHzwHNgQcEV8ZBefIennnpL8tHlSmHCAzZAja5v5/W+l9fI53mwPM+vDzP7o79X0q3uk5SeXSnGHnSV33vLIaoq6Y8RH1ITD6R/xEQ7HJPYSmfgwszvmXnS1nHXasbLbmNFSKULM5y+6/Ccy55tfklEj+v/LVHsozPjQnhD1DYUA4mMotLi2kgDig2fClgDiw5Zgstu7ID5SHe9I28yjvKNiN3//TpGWVrWhZS/5tqSf+T/p/vQk6Zx8WvU6SyXvJBdvT5ATzpLu/T6vdjyDFYb4GIyQjs8jPnTk4GIVoYsPX3Dc8+CqIfE4f9aJMulQndZ7oIEgPoYUMxcrJ4D4UB6Q8vIQH8oDcqA8xIcDISku0QXx0fQ//ykt1y2Uwh57S/6MxYppiqTX/0GyC7/unexiTngxJ71UvjJr/ktaf3SelIaPlI6Ft4ikM6rHNFBxiA83okN8uJGTxipDFx/+II0AWXzlLfKlSZ/1Znw8t/5l788L5pzszfBgxkc0jwPH2UbDNSm9Ij6SknQ040R8RMM1Sb0iPpKUdvhjdUF8tF67QDK/fWhIJ6aET6r2Hlt/dK5k1vx3v/uR+Mt2uo48UboOOrb2jhVeifhQGEqVkhAfbuSkscrIxIcZ7Mp7H/XGbGZymP9/4c8bevf0qBQhGuHUUhMzPmqhxDWuEEB8uJKUzjoRHzpzcakqxIdLaemrVb34MEfFnjlJzHIXsxeG2RND+yv9youS/e6JXpm5c6/tU3N6/dOSXfgNkeZW6Vh0m5Syw7QPZ8D6EB9uxIf4cCMnjVVGKj7Kl73sNW53WbrwDG+2h//x9vdty+amIT8VzPgIGWjCukN8JCzwkIeL+AgZaAK7Q3wkMPQQh6xdfKT/+KRkl8yQ0nY7ektHXHm13LBYmlb9XAoT/kny087tLdsscTFLXbo/fZR0Tp7uynD6rRPx4UaEiA83ctJYZaTiQ+OAw66JGR9hE6W/RhJAfDSSvvv3Rny4n2GjR4D4aHQCbt9fu/hoXnm1ND9wm3OiIPXGX6XtnBNECt2Sm/1DKY75kLeZqdnU1Lw6FtwkpZHbuf3wmCPZm9Pyd23N8tqbeefHEucBID7inG60Y0N8WPJFfFgCpLkqAogPVXE4Vwziw7nI1BWM+FAXiVMFaRcf2fknSfov6yX/rYVSGPdRp9i2rFgqTb+4XYof+LDkZn5fWm66TJoevVsKH/2k5E/6jlNj6a9YxIcbMSI+3MhJY5WID8tUEB+WAGmuigDiQ1UczhWD+HAuMnUFIz7UReJUQZrFR2rja9I25zjv+FrvGNt02im2qXfekrazjxfJ5yQ/da60Ll/g1Z/7zlVS3Gk3p8aC+HA7LsSH2/k1svrQxYc5reXJtc/LJybuNaRx/XLVE/KRcbt6e4C49EJ8uJQWtQ5GAPExGCE+PxABxAfPhy0BxIctwWS31yw+mh65U1puuVwKe+8v+VPOczKo5nt+LM13v7c3SfGDH5HcjCVOjqVa0cz4cCNKxIcbOWmsMhLxMX32pbLzTtvL/DOnSjbbMuC4/Y1OX3zpr72bn2oE1V9NiA+X0qLWwQggPgYjxOcRHzwDURJAfERJN/59axYfrVfMlcxTj0nnl2dI9/6HuBlGPufN+jCzP8wrf9r5UthroptjqVI14sONKBEfbuSkscrQxYc/yCXLVsi1N90j5ae5lAMwM0OMIHli7bNy4vGHOXu6C+JD42NNTUEJID6CkqOdIcCMD54DWwKID1uCyW6vVnzkczLsjMO9cDq+d6uU/m4bZ4My+3yY/T7MUbzmSN44vRAfbqSJ+HAjJ41VRiY+/ME+tmadfPX0hVXHfv1ls2Xf8WM1cqm5JsRHzai40AECiA8HQlJcIuJDcTiOlIb4cCQopWVqFR+ZJ34trVfOk+Lff1Byc5YqpUdZiA83ngHEhxs5aawycvGhcdBh1oT4CJMmfTWaAOKj0Qm4fX/Eh9v5aage8aEhBXdr0Co+Wn7yfWn61b3SdeiXpevwKe4CjnnliA83AkZ8uJGTxioRH5apID4sAdJcFQHEh6o4nCsG8eFcZOoKRnyoi8SpgrSKD3OaiznVJTfrcinu6vZMZ6ceiCEWi/gYIrAGXY74aBD4GNwW8WEZIuLDEiDNVRFAfKiKw7liEB/ORaauYMSHukicKkij+Ei/+IxkF5wmpa1HSMeiFSKplFNMk1Qs4sONtBEfbuSksUrEh2UqiA9LgDRXRQDxoSoO54pBfDgXmbqCER/qInGqII3io/m+n0jznddL98TPS+eUs5zimbRiER9uJI74cCMnjVUiPixTQXxYAqS5KgKID1VxOFcM4sO5yNQVjPhQF4lTBWkUH9lF35T08+skf/I5UtjnE07xTFqxiA83Ekd8uJGTxioRH4Ok4h+7O+PUyVVPoEF8aHysqSkoAcRHUHK0MwQQHzwHtgQQH7YEk91em/hIvb1J2mZN9pa3dFy8UkptWyU7IOWjR3woD+jd8hAfbuSksUrER0Uq/vG7/lG7iA+Njy01RUUA8REV2WT0i/hIRs5RjhLxESXd+PetTXw0rXpAWm5YJIUPjZf8ty+OfwCOjxDx4UaAiA83ctJYZeTiI5frlHkXL5d7Hlwlo3fYVq5aNFNG77Cd97GJ++wpkw49QA0XX3qYghAfamKhkDoSQHzUEXYMb4X4iGGodR4S4qPOwGN2O23io/Xq8yXz+C+la9I06frc5JjRjt9wEB9uZIr4cCMnjVVGLj6WLFshu7y/XQ799Mdl8ZW3yJcmfVZ2GzNajGRYcdfDMv/MqZLNtjSczXPrX/bqmzX9OJl70TXiL22pnPHh/3nfCWNlxrTJwlKXhkdHASESQHyECDOBXSE+Ehh6yENGfIQMNGHdqRIfxaIM+/YXRDrzkjt3uRTbd05YGu4NF/HhRmaIDzdy0lhlpOLDSIK5F10tZ512rDfLo1x8+KJhwZyTZdSI4Q1lY2qZu/AaWTD7JBk1crhMn31pVfHxkT1282aqTD78wN79Pl7dmGto7ZU3325Eq7z+ZqeUSiVVdVGMGwRGbNUsuc6i5LsKbhRMlaoINGfSsvWwJnnjrU5VdVGMOwS2H5GV197MCd/C3MlMU6VbZZu9ct7JdTW8rPSTv5Gmy8+W0rbt0nXRvzW8HgoYnEBzU1q2zjbJG2/zPWxwWo274n0js427OXd2mkDDxIeWGR/lcsbMROlvhsdpU46Qux/87y2W53QXdAmGpkxKCoWS6KrK6a+RRBWfSaekWCrxpiNRqYc32FRKJJ1KSaHI30DhUU1WT+Z7mLbvq8lKwO3RptM99ReLjR1H1z23SP7ffugV0XzwF6V1yumNLYi710SA72E1YWr4Reb7BC8IBCEQqfgwBa2891FZ9fhTMuebX5Irlt/uLXXxZ1WYmRON3uPDzPY4ZdYl8vIrr2/Bz+zz8YFddvJmgDyx9lnZa9zusnThGX1mqLDUJchjRxutBFjqojUZN+piqYsbOWmukqUumtPRX1ujl7qk3nlTWq65QDLrVnuwChP+STpPOEtK2WH64VGhsNTFjYeApS5u5KSxysjFhxl0+aahPgR/81BtUPqb8WEkzc47bb/FviSID20JUo8NAcSHDT3aIj54BmwJID5sCSa7fSPFh5EdLcsXSOqtjZ7o6Drm69I98fPJDsSx0SM+3AgM8eFGThqrrIv40Djw/mrqT3z4m536M1j8TVkRHy6lS62DEUB8DEaIzw9EAPHB82FLAPFhSzDZ7RsiPgrd0rLyaml66HYx60SLY/aQ/LRzpLTNDskOw8HRIz7cCA3x4UZOGqtEfFSkMpj4MJebk2o2vPq6dyLN397RtQlk+zZZefWNvLdPAy8IDJUA4mOoxLi+nADig+fBlgDiw5ZgstvXW3ykXn1JWpd9V9IvPS+STkvXwcdL12Ff8f6fl3sEEB9uZIb4cCMnjVVGKj507H5PAAAgAElEQVR8iWD2x6j2qrZnhkZIA9XEjA/XEqPegQggPng+bAggPmzo0dYQQHzwHNgQqKf4aHr0bmlZ8SORrrw3u8PM8jCzPXi5SwDx4UZ2iA83ctJYZaTio78B53KdfY621Qim1poQH7WS4joXCCA+XEhJb42ID73ZuFIZ4sOVpHTWWQ/xkep4W1qu/55knljlQej+2Gek8/jTRVrbdEKhqpoJID5qRtXQCxEfDcXv9M0bIj4MMbNXxgt/3iAzpk12GiDiw+n4KL6CAOKDR8KGAOLDhh5tDQHEB8+BDYGoxUf6j09K6zUXSOrNv3miIz9llndyC694EEB8uJEj4sONnDRW2TDxYY6RXXzlLbJgzsl9jofVCGmgmhAfriVGvQMRQHzwfNgQQHzY0KMt4oNnwJZAZOKjWJDmO6+X5p/fygamtiEpbo/4UBxOWWmIDzdy0lgl4sMyFcTH/2/vTMDkquq8/b9V1d1FFrKTnYSEPRAEQeNIFJ18LmRcBs2IMiMS1uCGIWAS0fGJkmTYQXYM8vkoMmZkRhFcBhVENMoSA8bkYwkJgZCFJASyVC917/ec012V6kp1d1Wde6vOufXe5wm93XPu/7y/Q1X6zbnnGgKkuVUEEB9WxeFcMYgP5yKzrmBWfFgXiVMFRSE+vNdfk5Y7F0li4wsiiaS0z/xXvYkpG5g6NTXKKhbxURamup+E+Kh7BM4WUDfxoZ6Mog5udQl37vBUl3B5NlpviI9GSzzc8SI+wuXZiL0hPhox9fDGHLb4SK34tTTfd7NI6z42MA0vJmt7QnxYG023whAfbuRkY5WRio/enuoyc8Y0/TjYdLrZRi5l18SKj7JRcaIDBBAfDoRkcYmID4vDcaQ0xIcjQVlaZljiw8vslebvXy3JlX/QI+2Y9gFpO/MLbGBqae5hlYX4CItktP0gPqLlG+feIxUfcQaXGxvioxFSbpwxIj4aJ+soRor4iIJqY/WJ+GisvMMebRjiI7Flo7Rcf5l4u7ZLkO4nbf92qWRPek/YpdKfhQQQHxaGUqIkxIcbOdlYJeLDMBXEhyFAmltFAPFhVRzOFYP4cC4y6wpGfFgXiVMFmYoPb98eSS+5WLxtm8Q/Yqq0njNfgiEjnGJAsdUTQHxUz66WLREftaQdr2tFLj56u91l6jGT5dall/BUlxDnFHt8hAizAbtCfDRg6CEOGfERIswG7Qrx0aDBhzRsI/ERBNJy01cluXallh2Zr90hQf+BIVVGNy4QQHy4kJII4sONnGysMnLxEZdNTHsKjxUfNk5raqqWAOKjWnK0UwQQH8wDUwKID1OCjd3eRHw03X+nNP3vcpGmFsnMv1n8MRMbG2YDjh7x4UboiA83crKxykjFh1rtsXDJXXLZnDNl0oQxNo7fuCbEhzFCOrCIAOLDojAcLAXx4WBolpWM+LAsEMfKqVZ8JJ98RFqWXalH23rRNyV7wrsdGznlhkEA8REGxej7QHxEzziuV0B8GCaL+DAESHOrCCA+rIrDuWIQH85FZl3BiA/rInGqoGrER2LjC5K+6ksiHe3SPvNfpf2fznZqzBQbHgHER3gso+wJ8REl3Xj3Han4UOjUrS4Tx42SM06fHkuSiI9Yxtqwg0J8NGz0oQwc8REKxobuBPHR0PEbD75S8eHt3iXpb18g3q4depVH64X/LuJ5xnXQgZsEEB9u5Ib4cCMnG6uMXHys27BJfnj/w/p2l3S62UYGRjUhPozw0dgyAogPywJxrBzEh2OBWVgu4sPCUBwqqSLxke2Q9DVfkcT6tXo/D7Wvh9rfg6NxCSA+3Mge8eFGTjZWGan46O2JLgoGT3UJf0rwVJfwmTZSj4iPRko7/LEiPsJn2mg9Ij4aLfFwx1uJ+Gj+v1dLasWv9ZNb9BNceGxtuGE42Bviw43QEB9u5GRjlZGKDxsHHHZNrPgImyj91ZMA4qOe9N2/NuLD/QzrPQLER70TqP31Ey8/L4mX1kj2xFMlOHioUQHlio/Uoz+T5vu+o6+VmXut+EdMNboujeNBAPHhRo6IDzdysrFKxIdhKogPQ4A0t4oA4sOqOJwrBvHhXGTWFYz4sC6SUAvyMnsl8eLfJLFujSRe+Jsk168RaWvV1wgO6i9tn/myZE9+X9XXLEd8JJ5/VtLXzdXXaDvzi9Lx3o9WfT0axosA4sONPBEfbuRkY5WRi49Mpk2+cc3d8uDDK2TMyGFyx1WXypiRw/X3pp00xflNTxEfNk5raqqWAOKjWnK0UwQQH8wDUwKID1OCdrVPbN6oV3PoPy88K4nXNhxQoD9usnhtGfG2vqp/lj3pPdJ21lck6Deg4sH0JT68HVskfeVF4u3dLR3v+qC0fXZexdegQXwJID7cyBbx4UZONlYZufjIPdXl9Pe/U66+7T4564wZMmnCGHli1VpZ/sAjsmjebKc3PUV82DitqalaAoiPasnRDvHBHAiDAOIjDIp16qOjXRIbnpPkutWSeHG1JNb9Xby33uheTHOLZCceI/7kKeIffpz4k46VIN1PxM9K0y/ulaaHfqg/V7e8KCmRnXJKRYPpVXy0t0p66RcksWm9+BOPlsy860WSqYr65+R4E0B8uJEv4sONnGysMlLxoTY3XbjkLv1EF7XKo1B8qKe9qK8XLzhfhgwaaCObsmpCfJSFiZMcIYD4cCQoS8tkxYelwThUFuLDobBEJPncXyXx7J8lqW5dWbf6gOKDAYPEP+J4ySrRMfk4LRx6OxKvvCjNy64UtVJEHR3T/0naPnGhSEu6LDC9iY+Wu74lyad/rzcxzSy8TVRtHBAoJID4cGM+ID7cyMnGKusmPljxEc104Kku0XBtlF4RH42SdDTjRHxEw7WRekV8WJJ2e6sktr0m3huvi7dtk3g7t0ni9df0R099fHNnyUL90RPEP/x48Q87WvzDjhV/1PiqBtT8kzsk9fB/6bbB8NHSes58vTqkr6Mn8dH0yx9J00/v1o+rzVx+k/jjJvXVFT9vQAKIDzdCR3y4kZONVUYqPtSA73/oMVnx9GpZ8MWz5Oa7/1vf6jJk8EC5eP4NMusjp7HHR8izAvERMtAG6w7x0WCBhzxcxEfIQBuwO8RHbUL39rwlar8L/Wf7Fkls7/zo7dou3rZXRf28ryMYOlKCYSMlO/Eo8Q+fqm9fUY+GDetQe4K0fG+peDu26i7bP3imtH/83F67LyU+kn/7s7TccoVu13reFZJ9+3vDKpF+YkYA8eFGoIgPN3KyscrIxYcatFrd8bkvL+02/ntunC+nnND7kkcbgRXXxK0uLqREjeUSQHyUS4rzShFAfDAvTAkgPkwJ9t2+6Vf3SdP/LOv5xFRKgsHDJRg8QoIhw8Ufckjn10NH5L8XDBwi4nl9X8z0jNaMNP/4Fkn98Ze6J3/sYdJ2zgL9sdRRLD4SWzZKesnnRVr3SfuHPi3tH5ttWhHtY0wA8eFGuIgPN3KyscqaiA8bBx5WTYiPsEjSjw0EEB82pOBuDYgPd7OzpXLER7RJJP/6uLTc8U19kewp7xNfrdoYNEzve9H5Z7jeWNS2Q63aaP7+NfnNUtv/+Txp/8CnDiizUHx4+/ZIesnF+lad7PHTpPXib9k2LOqxjADiw7JAeigH8eFGTjZWifgwTAXxYQiQ5lYRQHxYFYdzxSA+nIvMuoIRH9FFop64kr52rkh7q7TNXiAdp7w/uotF0LO6/ab5+1dL8pk/6d79SVOk9Zyv6j1AckdefOxpk5abvirJtSvFHzleMgtuEWk5KIKq6DJOBBAfbqSJ+HAjJxurjFR8qKe6qL08TjnxaJl7wSwbx29cE+LDGCEdWEQA8WFRGA6WgvhwMDTLSkZ8RBOI2pQ0vXiOeLt3lbVXRjRVhNNr6i+/kab7bhZv3279tBf11Bf19Bd15MRH5ge3SNP/LpfgoP6dT3ApkCPhVEEvcSSA+HAjVcSHGznZWGWk4kMNuHh/j5kzpsmiebMlnW62kUfFNSE+KkZGA4sJID4sDseB0hAfDoRkeYmIjwgCas1IeunnJbH55c5bPuYsqs3+HBEMJdel2oS1+e4lknxulf5Wdsop0vbZeTJg1EgJ/vxb8W/tHGPrl/5DskefGGEldB0nAogPN9JEfLiRk41VRi4+igetnvLy9as6N9WaesxkuXXpJTJkUHi7gNcaMuKj1sS5XpQEEB9R0o1/34iP+Gcc9QgRH+ETVk80UXtk+IceIZlLrxdpbgn/InXqMfW7/9Gbn6oj6DdAEu//mAS/Wi7S3iZt/3KxdLzvn+tUGZd1kQDiw43UEB9u5GRjlTUXH9fduVyW3fsg4iOi2cDjbCMC2yDdIj4aJOiIhon4iAhsA3WL+Ag37Oblt0nqt/frp7KofS5s3LjUdMRq89KW7y2RxEtr8111TPuAtJ19mWnXtG8wAogPNwJHfLiRk41VRi4+Cld4KADc6hLtNEB8RMs37r0jPuKecLTjQ3xEy7cRekd8hJdy6vc/l+Yf3SjS1CyZy78j/rhJ4XVuYU9Nv/yRNP30bvEmHyt75t1oYYWUZDsBxIftCXXWh/hwIycbq4xUfLC5ae0jR3zUnnmcroj4iFOatR8L4qP2zON2xTiKD/VY1dQv7pX2mf+mN+OsxZH8+5PS8p0F+lLqMa5qb49GOAZsWy/e4OHyVtOARhguYwyZAOIjZKARdYf4iAhsA3QbqfhoAH7CHh+NkHLjjBHx0ThZRzFSxEcUVBurzziKj5ab5ktyzVMSDBkhbWdfLtmj3hZpqInXNujNTKWtVdrPuEDa/088n6pXCmL+cbZ72yNlTOfxJID4cCNXxIcbOdlYJeKjj1Ryq1bmXjRLTjnh6APORnzYOK2pqVoCiI9qydFOEUB8MA9MCcRNfKhbL9QtGIWHevRq26yLRJrC32RUPa5WSQ9v+xbpeNcH9ZNOGulAfDRS2uGPFfERPtMoekR8REG1MfqMXHxkMm3yjWvulgcfXiFjRg6TO666VMaMHK6/N+2kKXLG6dPrTrq3R+4iPuoeDwXUkADio4awY3gpxEcMQ63xkOIkPpKrHpeW27+pCbZ+/tuSXLtSUr/5if46GDZSWs9ZIP7kKeER7miX9DWXSGLDc+JPOlYyc68VSabC69+BnhAfDoRkcYmID4vDKSgN8eFGTjZWGbn4UE9xmThulJz+/nfK1bfdJ2edMUMmTRgjSjYsf+ARWTRvtqTTzXVlozZgHT92hF7RkRM1ow4ZJnMvmCWIj7pGw8VrTADxUWPgMbsc4iNmgdZhOHERH4lN6yW99Asi7a3S9smLpOMfP6FpJl5crZ9AolZkiOdJx/s+Lm0fP09vQGp6tNy5SJIrH9NSJbPwdv1410Y7EB+Nlni440V8hMszqt4QH1GRjX+/kYoPJQ0WLrlLLptzpl7lUSg+1m3YpL9evOB8GTJooFWklQhZ8fRqLWX2tbbKxfNvkNytLsUbtnKri1XRUYwhAcSHIcAGb474aPAJEMLw4yA+vD1vSfrKC8XbuU2yJ58mred+rTuZ9lZp/smdkvr9AyJBIMGIMZ2rPw478HbacpE2/eweafrFDyVI95PMglslOGRsuU1jdR7iI1Zx1nwwiI+aI6/qgoiPqrDRSETqJj5sWvFRPBPUKhV1FK/4OP6oSfoWnVkfOS2/3wfig/+P4kQA8RGnNGs/FsRH7ZnH7YrOiw/fl/T1l0rihb+JP/5wyVx+k0iqqWRMyedWSfM9/6EFiVr90T7jk9L+0dkiqcpuT0k98VtpvnuJSCIhmUuuFv+IqXGbFmWPB/FRNipOLEEA8eHGtEB8uJGTjVVGKj7UgHOrJxZ88Sy5+e7/1re6DBk8UK+iUALBhj0+CoNRQua625fLrUsv0StRcis85pz9Mfn5w388YF+SN3bbtXP4oP4peXNvh/pHJA4IVEygfzopbR2+tHcwgSqGRwNJJT1JtyRl994OaECgKgKD+jfJm3vb3X0Pu/c7Ig/fLzJwsMii74oMGtY7h9aMyH23iDz6887zRo0XueAKkYlHlsfvxdUiSy8RyXaIzL5c5NQPl9cupmep1x91ZFqzMR0hw4qSgH4Pa07K7n28h0XJ2bTvwQNKy2TTfmkffwKRiw+FsHjzUPW9e26cX/IpKfVErupcuPguvQGr2odEHTnx8cyaF2XqMZPzQiRX595Wu14cD2pJ6Tf8QPjFtZ5zydVrtzQlpSMbSNb3XR0CddeRQMLz9JNdMu380lHHGJy+dL+WlNj2vlouUH/Fb6XjlkV6Q9Gmr39HvMnHlNtU/NVPSfaOJRLsfF2v3EjO/LQkP3FOr5uTBq9vlvYrzhfZ85YkT/+UJD89p+zrxfXEpmRCD609y3tYXDOOclyJhCfNSd7DomQcRt/qfYIDAtUQqIn4qKawWrcpJT0KxYdanaI2QC3ekJVbXWqdFNeLkgC3ukRJN/59c6tL/DOOeoSu3uqS2PiCpK/6kkhHu7SdfZl0TPtAxai8zF5p+vEtkvrTr3Vbf/REaZu9QPxxkw7oS52bXnKxeFtflezx06R1ziJ9u0yjH9zq0ugzwGz83Opixq9WrbnVpVak43cdxEfXipTC21sKYy5+qkvhxqfqaTSIj/j9T9HII0J8NHL65mNHfJgzbPQeXBQf3u5dkv72BeLt2iEd7/2otJ35RaMYk6v/Is3fv0a8N3eKJJLS/uFPS/uHz9q/+kPtI3LDZZJ4/hnxx06SzFdvEmlqMbpmXBojPuKSZH3GgfioD/dKr4r4qJQY5+cI1FV8/H7FM3L8MYfV/akuajPTZfc+2G1WjBk5TN/yktuPJPdUF3WSOn/z1u36qS879ti1pHvU0LRs3dkqPpt88H95FQQQH1VAo0meAOKDyWBKwDnxke2Q9DVfkcT6teIffpxkvnKtvlXF9PD27Zam+26W1F9+o7vSqz/O/5r+qKRI6k+/kuDgoZL52m36I0cnAcQHM8GEAOLDhF7t2iI+asc6bleqm/hQ8uCJlWsP2DPDNcCs+HAtMertjQDig/lhQgDxYUKPtoqAa+Kj+YfXS+oPD0kwbGTnY2T7HxxqkMlVj0vzD64XtapEHdkj3ybJ5/6qV3hk5l0v/qFHhHo91ztDfLieYH3rR3zUl3+5V0d8lEuK84oJRCY+CjcFVRf91uXn6ie4ZDJt+pGwK599vtsmoq5Gg/hwNTnqLkUA8cG8MCGA+DChR1vXxEfqsZ9L8703dkqIr96kbzuJ4vD2vCnNP7xBkisfy3ffesG/S/bEU6O4nNN9Ij6cjq/uxSM+6h5BWQUgPsrCxEklCEQmPtSKDnXMvWBWXnYcPnGs/O7xv+rv5x4X63oqiA/XE6T+QgKID+aDCQHEhwk92rokPtStLemrvyzi+9J60Tcle8K7Iw8w+dSj0vyjm6Rjxiel/UOfjvx6Ll4A8eFiavbUjPiwJ4veKkF8uJGTjVVGIj7Uao+FS+6Sy+acmX8sbO6RtjNnTNN7Y6iNQeNwID7ikCJjyBFAfDAXTAggPkzo0dYV8eHt3CbpxXP07SdKQLR/bHbNwlPXDAYMqtn1XLsQ4sO1xOyqF/FhVx49VYP4cCMnG6usmfhYt2GTXH3bfbJ4wfl138w0zCAQH2HSpK96E0B81DsBt6+P+HA7Pxuqt36Pj452/dha9fja7JR3SOvnv81jZG2YOF01ID4sCsPBUhAfboSG+HAjJxurRHwYpoL4MARIc6sIID6sisO5YhAfzkVmXcG2i4+WZVdK8slHJBg+WvZdcYdIy0HWMWzkghAfjZy++dgRH+YMa9ED4qMWlON5jcjEx8Xzb5Bn1rzYK7Wpx0x2fq8PxEc8/8do1FEhPho1+XDGjfgIh2Mj92Kz+Ej95ifS/F+3a9mRWXCL+CPHN3JUVo4d8WFlLM4UhfhwIyrEhxs52VhlJOLDxoFGVRPiIyqy9FsPAoiPelCPzzURH/HJsl4jsVV8JF74m6Svm6uxqNtb1G0uHPYRQHzYl4lLFSE+3EgL8eFGTjZWifgwTAXxYQiQ5lYRQHxYFYdzxSA+nIvMuoJtFB96M9MrLxRvz1t6I1OeqGLdtMkXhPiwNxsXKkN8uJCSCOLDjZxsrBLxYZgK4sMQIM2tIoD4sCoO54pBfDgXmXUFWyc+2lslvfQLkti0Xj+yVj26lsNeAogPe7NxoTLEhwspIT7cSMnOKhEfhrkgPgwB0twqAogPq+JwrhjEh3ORWVewbeKj5fZvSnLV4+KPmSiZ+TeLNLVYx4yC9hNAfDAbTAggPkzo1a4tKz5qxzpuV0J8GCaK+DAESHOrCCA+rIrDuWIQH85FZl3B9RIf3rZNktjyinhbNnZ+3LZJvH27JbHhOQn6DZDM126XYOhI63hRUHcCiA9mhAkBxIcJvdq1RXzUjnXcroT4MEwU8WEIkOZWEUB8WBWHc8UgPpyLzJqCva2vSurPD8tBrzwnrekBEgwYJMHAIRIMOFiCAYP11zJwUOfn/QdWVbeX2SveaxsksWWjqOslXn1JC47Eaxt67S8z9zrxjzi+qmvSqLYEEB+15R23qyE+3EgU8eFGTjZWifgwTAXxYQiQ5lYRQHxYFYdzxSA+nIusrgUr6ZB68neSfOpRLSEqOYKDh0qgRMjAwSJKkqg/Bw+RoL8SJYNEmlv0vhxacGx9RbzXXhZv966eL9GSFn/0RAlGjBZ/5KESHDJG/BFjxB9zmO6Lww0CiA83crK1SsSHrcl0rwvx4UZONlaJ+DBMBfFhCJDmVhFAfFgVh3PFID6ci6zmBXvbt0jqqUck+eQjktj4Qv76QbqfZN92qvQfN072ZNolCETEz4r35k4tLLw9b+rP5a1d+haUag9/1KESKKExeoIEh4wVf+Q4/VGJFA73CSA+3M+wniNAfNSTfvnXRnyUz4ozuxNAfBjOCMSHIUCaW0UA8WFVHM4Vg/hwLrKaFKweB5t8+lFJPfmoJNav3S87+g2Q7InTJXviqZKd8g79/XL3+PB2bRdPSRAtRHZ0CpEuOeLtfkOkrbVTcIwYLcGYw8QfPlp/zRFvAoiPeOcb9egQH1ETDqd/xEc4HBuxF8SHYeqID0OANLeKAOLDqjicKwbx4VxkkRWsVmmoVR1qdUfixdXSuYRD9O0oamWHFh5HniCSSHSroVzxEVnhdOw0AcSH0/HVvXjER90jKKsAxEdZmDipBAHEh+G0QHwYAqS5VQQQH1bF4VwxiA/nIgu1YG/PW3plR/LJRyX5/Kr9smPwcL2qo+PE94h/+HEintfjdREfoUbScJ0hPhou8lAHjPgIFWdknSE+IkMb+44RH4YRIz4MAdLcKgKID6vicK4YxIfoWywSW18Vb8cW8bZvFu+N7ZLY9qp4O1/vfETqnjftzbUlLYGXEEkmRXIfE8nOVRmJpAQFn3c/JyHiB5JYtzo/tkDJjre/VzpOmi7+pClljxnxUTYqTixBAPHBtDAhgPgwoVe7toiP2rGO25UQH4aJIj4MAdLcKgKID6vicK6YRhAfeh+J7UpqbNFyI6E/3yx6zwklPPbtcS63sAoOho6UjpNPk6ySHROOqqpbxEdV2GjURQDxwVQwIYD4MKFXu7aIj9qxjtuVEB+GiSI+DAHS3CoCiA+r4nCuGKfFR3ureLt26I0y1SoN/TQRtTpD7U2R7ZDkqj9JYscWkdZ9vefS1CzB0EPEHzZKlAgIhquPua8PEbUSwspDjT+bFQl8EfXR9/VTVQo/ekVf6/OCrEjWF+nXX/yxk4yHhvgwRtjQHSA+Gjp+48EjPowR1qQDxEdNMMfyIogPw1gRH4YAaW4VAcSHVXE4V4yN4kM/ClVJDLUiIyc29MedIm/ukMSu7SLq68ze8ng3t4ivhIYSG8MO0R+7fc1jUcvj2MNZiA8jfA3fGPHR8FPACADiwwhfzRojPmqGOnYXQnwYRor4MARIc6sIID6sisO5YuopPpS48Da+KIlX13X+2bReEhtfEGlvK5ujWo0RDBoqwcFDOz8Wfj54hATDRkowYFDZ/XFi5QQQH5Uzo8V+AogPZoMJAcSHCb3atUV81I513K6E+DBMFPFhCJDmVhFAfFgVh3PF1ER8BIEktrwinpIbryjR8ZIWHd6OrSV5Bel+IoUCIyc1ij/2P7jXp404F4ajBSM+HA3OkrIRH5YE4WgZiA83gkN8uJGTjVUiPgxTQXwYAqS5VQQQH1bF4VwxYYsPb99uSbz8Qpfk6FrJ8dqG0qs4UinxRx2q95kIxk4Sf9wk8ccepldvcLhDAPHhTlY2Vor4sDEVd2pCfLiRFeLDjZxsrBLxYZgK4sMQIM2tIoD4sCoOp4pRqy6a16+Rln27ZG+mw6h2talocuVjek+OUkcwaJiWGv6hR0gweoL4YyaKP26y0TVpbAcBxIcdObhaBeLD1eTsqBvxYUcOfVWB+OiLED/viQDiw3BuID4MAdLcKgKIj+jj8HZuk+TKP0hw8GAJxh8u/sjx0V805CuoDUMT6/4uiZfWSGLdGkluWCvSmgn5KiLS1Cy+EhtqBcfYiZ28xh8uwUEDwr8WPVpBAPFhRQzOFoH4cDY6KwpHfFgRQ59FID76RMQJPRBAfBhODcSHIUCaW0UA8RFNHIkNz0nymT9J8pk/SuKVdd0vop4Son6hP/QIvWpBfz7+8GgKqbLXxPq1knhprSTXrRb1uff65gN6UqswZPKx0jxxsuzt8EQSCZFEUoKuj/rrZFJ/78CfdX0/2dlGkil9i4o/yj0pVCVimnURQHwwFUwIID5M6NEW8eHGHEB8uJGTjVUiPgxTQXwYAqS5VQQQH+HFkVzzVKfsePox8d4suGVDiY4JR4qIJ972zT1uylkoQXJSRFrS4RXYkw3fsVXLjaRezfF3/afU4U+eItnDjhG/608wZISEvcdH5IPlAtYRQHxYF4lTBSE+nIrLumIRH9ZFUrIgxIcbOdlYJeLDMBXEhyFAmltFAPFhEEdrRpKr/yLJZ8TlExwAABcDSURBVFdI8q+Pi3q8au4I+h8s2RNPlewJ/yDZ497Z7SLeXrWB53P60at6I0/1pJLNL5csJBg5Lr8ipHOVyJES9B/Yea2O9vwfT32uHuOqv9chXuD3PrDduyT1xG/1rSul9tUIho8W/7CjJTtpiv7oTziqZH+ID4P5Q1NNAPHBRDAhgPgwoUdbxIcbcwDx4UZONlaJ+DBMBfFhCJDmVhFAfFQWh5IEahNOvbJjzVPdGgeHjJWOE6dLduo08SdNqazj1kynCNn4fNfHF/WjW2tytBwk2QlHiT/5WPEnHqM/KnFTzoH4KIcS5/RGAPHB/DAhgPgwoUdbxIcbcwDx4UZONlaJ+DBMBfFhCJDmVhFAfPQdR+LVlzpXdaz6o74lpPBQt31k3/ZuyU59l360atiH2itECxG1KkStElH7haiVHS1pCVJNIl1/glRz/nNpbpFA7a2R/3nz/nObmvKfB0NHdt62MvawqstGfFSNjoZdBBAfTAUTAogPE3q0RXy4MQcQH27kZGOViA/DVBAfhgBpbhUBxEeJOIJA73OhREdq1ePibX11/0mplGSPOrHzFpYTp0swYJBVeda6GMRHrYnH73qIj/hlWssRIT5qSTt+10J8uJEp4sONnGysEvFhmAriwxAgza0igPjoiqOjQ5JrntSyQ93G4r31Rj6n4KD+4h/3DumY+g+SPX6aXm3B0UkA8cFMMCWA+DAl2NjtER+Nnb/p6BEfpgRr0x7xURvOcbwK4sMwVcSHIUCaW0WgkcWHt29Pl+j4oyT//qRIa2a/7Bg8XN++om9jOfIE/bhVjgMJID6YFaYEEB+mBBu7PeKjsfM3HT3iw5RgbdojPmrDOY5XQXyUker9Dz0mX79qmT5z5oxpsmjebEmnm/XXiI8yAHKKMwQaTXx4b7yuHzebXPW4JF94VsTf//QTf/SEzltY3vbuHp9i4kywNSoU8VEj0DG+DOIjxuHWYGiIjxpAjvElEB9uhIv4cCMnG6tEfPSRyhOr1sp1ty+XW5deIkMGDZTr7lyuW8y9YBbiw8YZTU1GBBpBfKjNQbXoUJuTqs1Bc4fniT/pWMme8G7pePt7RG32yVEZAcRHZbw4+0ACiA9mhQkBxIcJPdoiPtyYA4gPN3KysUrERx+pKNExcdwoOeP06frMYhHCig8bpzU1VUsgruIjsfllST36s879OnZs7YYnO+Udkj35vZI97p0NvzlptfMm1w7xYUqQ9ogP5oAJAcSHCT3aIj7cmAOIDzdysrFKxEcvqWQybfKNa+6WaSdNyYuPdRs2ycKl35XF88+TSRPGyM4rLrYq11QqIR0dgYioPzE7stnOWxF89TH3xxdR3w+6Pnb93Muf1/X99tZwYDSpW5y8zr66PoiX/0T2f951OfWzwp/n2+X62N9XkO+36Ge6TcE1cl/nvtWtXbW1ddabSCYkCET/yV9Td1lcU8F1StWWo537mf5YVFthn/k+Cripn6smHe2df9q7Pna0i9fR1vl1Zm/luab7ia9uXznpVPGPPVnU4145wiHQlEzIgH4p2flWWzgd0kvDERgxKC2vv5npfA3igECFBPqnm3SLPZn2CltyOgREmlIJGZBOyc7dvIfZPB8OGcym8jbnY3NtiI9e0smJj1kfOU1OOeFofWax+HjjX061OV9qg0DDEPDU01WamsVrahJJNYs0NXV93iTqZ8lDJ0vTKdMldfzJDcOEgUIAAhCAAAQgAAEIQAACIoiPMsRHbys+Wp992qp5lEx44vtBHNd7iCSTIomEeAn1MZn/Wn+eSOgnbXj6Y9fXBefp7+vVGhUe7V3WP78MomAtTcH38t/N/ytlbtmEWnyT+6b6Xtf1u32v65u9ti1oV9g2133R9/Yv2ygYb+4c/bH0NROeJ0HgF5ScO6+PMajLVMKoVL26j/x/9nNL7RcYWmykmrTUyH/Oio0KJ3V0p6uFO2oOZX3+uT46yvHuOZX0pCPL/Il3ytGNTr3Vq6Ngn+roLkbPsSPAe5gbkar3CQ4IVEMA8dEHNfb4qGZa0cZVAnHd48PVPFyrmz0+XEvMvnrZ48O+TFyqiD0+XErLvlrZ48O+TEpVxB4fbuRkY5WIjz5S4akuNk5baoqKAOIjKrKN0S/iozFyjnKUiI8o6ca/b8RH/DOOcoSIjyjphtc34iM8lo3WE+KjjMTvf+gx+fpVy/SZM2dMk0XzZks63XnbBE91KQMgpzhDAPHhTFRWFor4sDIWp4pCfDgVl3XFIj6si8SpghAfbsSF+HAjJxurRHwYpoL4MARIc6sIID6sisO5YhAfzkVmXcGID+sicaogxIdTcVlXLOLDukhKFoT4cCMnG6tEfBimgvgwBEhzqwggPqyKw7liEB/ORWZdwYgP6yJxqiDEh1NxWVcs4sO6SBAfbkTiTJWID8OoEB+GAGluFQHEh1VxOFcM4sO5yKwrGPFhXSROFYT4cCou64pFfFgXCeLDjUicqRLxYRgV4sMQIM2tIoD4sCoO54pBfDgXmXUFIz6si8SpghAfTsVlXbGID+siQXy4EYkzVSI+DKNCfBgCpLlVBBAfVsXhXDGID+cis65gxId1kThVEOLDqbisKxbxYV0kiA83InGmSsSHYVSID0OANLeKAOLDqjicKwbx4Vxk1hWM+LAuEqcKQnw4FZd1xSI+rIsE8eFGJM5UifgwjArxYQiQ5lYRQHxYFYdzxSA+nIvMuoIRH9ZF4lRBiA+n4rKuWMSHdZEgPtyIxJkqER+GUSE+DAHS3CoCiA+r4nCuGMSHc5FZVzDiw7pInCoI8eFUXNYVi/iwLhLEhxuROFMl4sOZqCgUAhCAAAQgAAEIQAACEIAABCAAgUoJID4qJcb5EIAABCAAAQhAAAIQgAAEIAABCDhDAPHhTFQUCgEIQAACEIAABCAAAQhAAAIQgEClBBAflRLjfAhAAAIQgAAEIAABCEAAAhCAAAScIYD4sDSqJ1atlc99eWm+upkzpsmiebMlnW7W38tk2uQb19wtDz68Qn/9rcvPlTNOn95tNDt3vSULl9wll805UyZNGNPtZ/c/9Jh8/apl+nvFfVuKhLIqILBuwya58PJrZdOW7brV1GMmy61LL5EhgwbmeylnDlx353KZOG5Ut7lVTt8VlMqplhJQ2S+798F8dcWvMer15eL5N8gza17U59xz43w55YSju41GzZWrb7tPFi84v9vcKzxJXeeJlWsPmJ+WYqGsMglE/R5WzntgmaVymoUEivMt9RpTOMdKvcepNup9bv0rm2XuBbMOeG0qfI8s9XcoC7FQUgUETN7Dwnj9qqBUToUABGpEAPFRI9CVXka9WY8fO0L/IpH7C8CoQ4bl37zVC7o61Jt57heQuRfN6na+kiJjRg6TO666tJv4UC/o192+PP+LRmFfldbJ+XYSUBlvfHVbXliojDdv3Z6XZ33NgUIpUvwXwr76tpMIVVVCQL3m3Pr9n8o5n/qQFhY52bV44fndXmOmnTRFzzH184VLvyuL55+nX2sKpUhPv5CoenJ/Me3tnErq5lx7CET5HpZ7T8zNP3tGTSVhEVCvId/7z1/KxZ/9mP4HH/W+s3DxXfm/zxS/5qj5tuLp1d3e43L/eHTuZ2Z2Ex/Ff2cq/jqsMdBP/QiYvoeZvH7Vb9RcGQIQ6IsA4qMvQpb8vPBNfV9r6wErOUrJi55WfBT/K37xL8GWDJkyQiRQSnQUruToaQ6UWvFRXBbzJ8SgLO2q+BfN4pUcPf0i2tuKj9y/xE5/5/HdRKylCCjLkECY72E9/Su+YYk0t5hAsZwongPFIiQ3lFJzpfhcRJrFwYdUWrXvYYXzKCfWyv07eEil0w0EIBAiAcRHiDCj7KpQbJR6gy/+1w5VSynxUeoNvqe/MEQ5HvquLYHC+aGurG6TKvzX0p7mQDnio9Tcq+3ouFrUBIp/6Sglu0rJ157ER+Gcefb/rUN8RB2gBf2H9R6mhlK8hL3UykYLhkwJIRIofo8qfr3padVGT5JMtf/Fb1boFSTq6OuWvBCHQld1IFDte1iu1Gpev+owTC4JAQj0QQDx4cAUKf4lo9QvE5WKj1kfOS1/Pz7iw4FJYFBiT/+6Vc4c6Et8MHcMgnGoafEvGeo1afkDj3Tbd6hc8VHclhVDDk2EKkuN+j1Mvf+p+Vi8j1GV5dLMMgKl/sGm+L2pUvGh5uS1t/9Ytu/YpffCYo8Py0IPuZxq38NUGdW+foU8BLqDAARCIID4CAFilF0U39eqrsWKjyiJx6vv4r0Z1OgqWfXTm/go1Xe86DEaRaB4f5hSfxHMnac+Fm4i2JOkzW2sXEiYfT7iOd+ieg8rFLfs0RDPuVP4flW4x1mp15tKxEfx61KurZpTxZvEx5ds44zM5D3M5PWrcQgzUgi4QwDxYXFWpV5wVbmlbmFhjw+Lg6xTab2JiXL3eelJfCA96hRqjS9b6i+MOflauDS8mj0+ckNhxUeNQ63h5Wr1HtbbE8xqOFwuFTKBUhu75y5hssdHuSvWQh4O3dWBgMl7mOnrVx2GyyUhAIE+CCA+LJ0iff0y0NtTXXJD6ukvg3090cNSJJRVAYG+bkEpdw6UEh999V1BmZxqMYHenvZUaqO4wqe65IZVzuNs+3qtsxgRpfVCoK9cTd/DCp/wwT5D8ZuKfW042tdTXXoSJDlxqx5lm3tKFSs+4jd/1IhM3sPCeP2KJ1VGBQG3CSA+LM2vePM2VWbhBm7Fz7gvvD+1+Geq7cwZ07rdj1/4uNLin1mKhLIqIFCYb2Gze26cn9/bpbc5UNy+cO6V03cFpXKqhQQKH0dbWF7ha0XxOYVzq1T74kdK5vrt6y+YFuKhpDII1PI9jNukygjEsVNyqwrV/huFR+HriHrtyD2ytngOFP4s177wNar45+zx4dgE6aNc0/cwk9eveJFkNBCIFwHER7zyZDQQgAAEIAABCEAAAhCAAAQgAAEIFBBAfDAdIAABCEAAAhCAAAQgAAEIQAACEIgtAcRHbKNlYBCAAAQgAAEIQAACEIAABCAAAQggPpgDEIAABCAAAQhAAAIQgAAEIAABCMSWAOIjttEyMAhAAAIQgAAEIAABCEAAAhCAAAQQH8wBCEAAAhCAAAQgAAEIQAACEIAABGJLAPER22gZGAQgAAEIQAACEIAABCAAAQhAAAKID+YABCAAAQhAAAIQgAAEIAABCEAAArElgPiIbbQMDAIQgAAEIAABCEAAAhCAAAQgAAHEB3MAAhCAAAQgAAEIQAACEIAABCAAgdgSQHzENloGBgEIQAACEIAABCAAAQhAAAIQgADigzkAAQhAAAIQgAAEIAABCEAAAhCAQGwJID5iGy0DgwAEIAABCEAAAhCAAAQgAAEIQADxwRyAAAQgAAEIQAACEIAABCAAAQhAILYEEB+xjZaBQQACEIAABCAAAQhAAAIQgAAEIID4YA5AAAIQgAAEIAABCEAAAhCAAAQgEFsCiI/YRsvAIAABCEAAAhCAAAQgAAEIQAACEEB8MAcgAAEIQAACDhK47s7lsuzeB7tVPmbkMLnjqktl0oQxFY3o/ocekxVPr5ZF82ZLOt1cUVtOhgAEIAABCEAAArYTQHzYnhD1QQACEIAABEoQUOJj89bt3WTFE6vWyue+vFTO/cxMmXvBrLK5IT7KRsWJEIAABCAAAQg4SADx4WBolAwBCEAAAhAoJT4UlXUbNsmFl18rc87+uJxx+nQNqnh1yNRjJsutSy+RIYMGSk6WFBL91uXnlmxb7YoS0oIABCAAAQhAAAL1JID4qCd9rg0BCEAAAhCokkBP4iMnOgpXg9z5gwdkxvS352+BKW7b04oPdZ46cqtHlCRZuPiuqm6nqXKYNIMABCAAAQhAAALGBBAfxgjpAAIQgAAEIFB7Ar2JDyUylj/wSH5VR3F1alXI1bfdJ4sXnK9XfZQSH8XnqD4ymTb5xjV3y7STpuRXhNR+5FwRAhCAAAQgAAEIVEYA8VEZL86GAAQgAAEIWEGgEvGRExYPPrwiX3vhbSulxEepW2ByjQtvhbECBkVAAAIQgAAEIACBXgggPpgeEIAABCAAAQcJlHury6Ytr+s9Pz78j9Pyt6yo1RwLl35XFs8/T9/+0pP4uO725T2uGnEQGSVDAAIQgAAEINCgBBAfDRo8w4YABCAAAbcJ9LW56eKF58spJxytNy9Vt70UPqq2WHyUc47btKgeAhCAAAQgAIFGJoD4aOT0GTsEIAABCDhLoNzH2RZvSJq77WXls8/nNykttWlp7ryNr27rtupDrQ4ZP3aEliocEIAABCAAAQhAwAUCiA8XUqJGCEAAAhCAQBGB4kfUqh/39LhZJSu+ftUy3YM6Z96cM+V7//mL/K0u6vuF/fX0OFt1XuGjcAkFAhCAAAQgAAEIuEAA8eFCStQIAQhAAAIQgAAEIAABCEAAAhCAQFUEEB9VYaMRBCAAAQhAAAIQgAAEIAABCEAAAi4QQHy4kBI1QgACEIAABCAAAQhAAAIQgAAEIFAVAcRHVdhoBAEIQAACEIAABCAAAQhAAAIQgIALBBAfLqREjRCAAAQgAAEIQAACEIAABCAAAQhURQDxURU2GkEAAhCAAAQgAAEIQAACEIAABCDgAgHEhwspUSMEIAABCEAAAhCAAAQgAAEIQAACVRFAfFSFjUYQgAAEIAABCEAAAhCAAAQgAAEIuEAA8eFCStQIAQhAAAIQgAAEIAABCEAAAhCAQFUEEB9VYaMRBCAAAQhAAAIQgAAEIAABCEAAAi4QQHy4kBI1QgACEIAABCAAAQhAAAIQgAAEIFAVAcRHVdhoBAEIQAACEIAABCAAAQhAAAIQgIALBBAfLqREjRCAAAQgAAEIQAACEIAABCAAAQhURQDxURU2GkEAAhCAAAQgAAEIQAACEIAABCDgAgHEhwspUSMEIAABCEAAAhCAAAQgAAEIQAACVRFAfFSFjUYQgAAEIAABCEAAAhCAAAQgAAEIuEAA8eFCStQIAQhAAAIQgAAEIAABCEAAAhCAQFUEEB9VYaMRBCAAAQhAAAIQgAAEIAABCEAAAi4QQHy4kBI1QgACEIAABCAAAQhAAAIQgAAEIFAVAcRHVdhoBAEIQAACEIAABCAAAQhAAAIQgIALBBAfLqREjRCAAAQgAAEIQAACEIAABCAAAQhURQDxURU2GkEAAhCAAAQgAAEIQAACEIAABCDgAgHEhwspUSMEIAABCEAAAhCAAAQgAAEIQAACVRFAfFSFjUYQgAAEIAABCEAAAhCAAAQgAAEIuEAA8eFCStQIAQhAAAIQgAAEIAABCEAAAhCAQFUEEB9VYaMRBCAAAQhAAAIQgAAEIAABCEAAAi4QQHy4kBI1QgACEIAABCAAAQhAAAIQgAAEIFAVAcRHVdhoBAEIQAACEIAABCAAAQhAAAIQgIALBBAfLqREjRCAAAQgAAEIQAACEIAABCAAAQhURQDxURU2GkEAAhCAAAQgAAEIQAACEIAABCDgAgHEhwspUSMEIAABCEAAAhCAAAQgAAEIQAACVRFAfFSFjUYQgAAEIAABCEAAAhCAAAQgAAEIuEAA8eFCStQIAQhAAAIQgAAEIAABCEAAAhCAQFUEEB9VYaMRBCAAAQhAAAIQgAAEIAABCEAAAi4QQHy4kBI1QgACEIAABCAAAQhAAAIQgAAEIFAVAcRHVdhoBAEIQAACEIAABCAAAQhAAAIQgIALBBAfLqREjRCAAAQgAAEIQAACEIAABCAAAQhURQDxURU2GkEAAhCAAAQgAAEIQAACEIAABCDgAgHEhwspUSMEIAABCEAAAhCAAAQgAAEIQAACVRFAfFSFjUYQgAAEIAABCEAAAhCAAAQgAAEIuEDg/wOmLLSKDpEdiwAAAABJRU5ErkJggg=="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "make_graph(tsla_share_price_data, tesla_revenue, 'Tesla')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Question 6: Plot GameStop Stock Graph\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use the `make_graph` function to graph the GameStop Stock Data, also provide a title for the graph. The structure to call the `make_graph` function is `make_graph(gme_data, gme_revenue, 'GameStop')`. Note the graph will only show data upto June 2021.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "name": "Share Price",
         "type": "scatter",
         "x": [
          "2002-02-13T00:00:00",
          "2002-02-14T00:00:00",
          "2002-02-15T00:00:00",
          "2002-02-19T00:00:00",
          "2002-02-20T00:00:00",
          "2002-02-21T00:00:00",
          "2002-02-22T00:00:00",
          "2002-02-25T00:00:00",
          "2002-02-26T00:00:00",
          "2002-02-27T00:00:00",
          "2002-02-28T00:00:00",
          "2002-03-01T00:00:00",
          "2002-03-04T00:00:00",
          "2002-03-05T00:00:00",
          "2002-03-06T00:00:00",
          "2002-03-07T00:00:00",
          "2002-03-08T00:00:00",
          "2002-03-11T00:00:00",
          "2002-03-12T00:00:00",
          "2002-03-13T00:00:00",
          "2002-03-14T00:00:00",
          "2002-03-15T00:00:00",
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          "2002-03-19T00:00:00",
          "2002-03-20T00:00:00",
          "2002-03-21T00:00:00",
          "2002-03-22T00:00:00",
          "2002-03-25T00:00:00",
          "2002-03-26T00:00:00",
          "2002-03-27T00:00:00",
          "2002-03-28T00:00:00",
          "2002-04-01T00:00:00",
          "2002-04-02T00:00:00",
          "2002-04-03T00:00:00",
          "2002-04-04T00:00:00",
          "2002-04-05T00:00:00",
          "2002-04-08T00:00:00",
          "2002-04-09T00:00:00",
          "2002-04-10T00:00:00",
          "2002-04-11T00:00:00",
          "2002-04-12T00:00:00",
          "2002-04-15T00:00:00",
          "2002-04-16T00:00:00",
          "2002-04-17T00:00:00",
          "2002-04-18T00:00:00",
          "2002-04-19T00:00:00",
          "2002-04-22T00:00:00",
          "2002-04-23T00:00:00",
          "2002-04-24T00:00:00",
          "2002-04-25T00:00:00",
          "2002-04-26T00:00:00",
          "2002-04-29T00:00:00",
          "2002-04-30T00:00:00",
          "2002-05-01T00:00:00",
          "2002-05-02T00:00:00",
          "2002-05-03T00:00:00",
          "2002-05-06T00:00:00",
          "2002-05-07T00:00:00",
          "2002-05-08T00:00:00",
          "2002-05-09T00:00:00",
          "2002-05-10T00:00:00",
          "2002-05-13T00:00:00",
          "2002-05-14T00:00:00",
          "2002-05-15T00:00:00",
          "2002-05-16T00:00:00",
          "2002-05-17T00:00:00",
          "2002-05-20T00:00:00",
          "2002-05-21T00:00:00",
          "2002-05-22T00:00:00",
          "2002-05-23T00:00:00",
          "2002-05-24T00:00:00",
          "2002-05-28T00:00:00",
          "2002-05-29T00:00:00",
          "2002-05-30T00:00:00",
          "2002-05-31T00:00:00",
          "2002-06-03T00:00:00",
          "2002-06-04T00:00:00",
          "2002-06-05T00:00:00",
          "2002-06-06T00:00:00",
          "2002-06-07T00:00:00",
          "2002-06-10T00:00:00",
          "2002-06-11T00:00:00",
          "2002-06-12T00:00:00",
          "2002-06-13T00:00:00",
          "2002-06-14T00:00:00",
          "2002-06-17T00:00:00",
          "2002-06-18T00:00:00",
          "2002-06-19T00:00:00",
          "2002-06-20T00:00:00",
          "2002-06-21T00:00:00",
          "2002-06-24T00:00:00",
          "2002-06-25T00:00:00",
          "2002-06-26T00:00:00",
          "2002-06-27T00:00:00",
          "2002-06-28T00:00:00",
          "2002-07-01T00:00:00",
          "2002-07-02T00:00:00",
          "2002-07-03T00:00:00",
          "2002-07-05T00:00:00",
          "2002-07-08T00:00:00",
          "2002-07-09T00:00:00",
          "2002-07-10T00:00:00",
          "2002-07-11T00:00:00",
          "2002-07-12T00:00:00",
          "2002-07-15T00:00:00",
          "2002-07-16T00:00:00",
          "2002-07-17T00:00:00",
          "2002-07-18T00:00:00",
          "2002-07-19T00:00:00",
          "2002-07-22T00:00:00",
          "2002-07-23T00:00:00",
          "2002-07-24T00:00:00",
          "2002-07-25T00:00:00",
          "2002-07-26T00:00:00",
          "2002-07-29T00:00:00",
          "2002-07-30T00:00:00",
          "2002-07-31T00:00:00",
          "2002-08-01T00:00:00",
          "2002-08-02T00:00:00",
          "2002-08-05T00:00:00",
          "2002-08-06T00:00:00",
          "2002-08-07T00:00:00",
          "2002-08-08T00:00:00",
          "2002-08-09T00:00:00",
          "2002-08-12T00:00:00",
          "2002-08-13T00:00:00",
          "2002-08-14T00:00:00",
          "2002-08-15T00:00:00",
          "2002-08-16T00:00:00",
          "2002-08-19T00:00:00",
          "2002-08-20T00:00:00",
          "2002-08-21T00:00:00",
          "2002-08-22T00:00:00",
          "2002-08-23T00:00:00",
          "2002-08-26T00:00:00",
          "2002-08-27T00:00:00",
          "2002-08-28T00:00:00",
          "2002-08-29T00:00:00",
          "2002-08-30T00:00:00",
          "2002-09-03T00:00:00",
          "2002-09-04T00:00:00",
          "2002-09-05T00:00:00",
          "2002-09-06T00:00:00",
          "2002-09-09T00:00:00",
          "2002-09-10T00:00:00",
          "2002-09-11T00:00:00",
          "2002-09-12T00:00:00",
          "2002-09-13T00:00:00",
          "2002-09-16T00:00:00",
          "2002-09-17T00:00:00",
          "2002-09-18T00:00:00",
          "2002-09-19T00:00:00",
          "2002-09-20T00:00:00",
          "2002-09-23T00:00:00",
          "2002-09-24T00:00:00",
          "2002-09-25T00:00:00",
          "2002-09-26T00:00:00",
          "2002-09-27T00:00:00",
          "2002-09-30T00:00:00",
          "2002-10-01T00:00:00",
          "2002-10-02T00:00:00",
          "2002-10-03T00:00:00",
          "2002-10-04T00:00:00",
          "2002-10-07T00:00:00",
          "2002-10-08T00:00:00",
          "2002-10-09T00:00:00",
          "2002-10-10T00:00:00",
          "2002-10-11T00:00:00",
          "2002-10-14T00:00:00",
          "2002-10-15T00:00:00",
          "2002-10-16T00:00:00",
          "2002-10-17T00:00:00",
          "2002-10-18T00:00:00",
          "2002-10-21T00:00:00",
          "2002-10-22T00:00:00",
          "2002-10-23T00:00:00",
          "2002-10-24T00:00:00",
          "2002-10-25T00:00:00",
          "2002-10-28T00:00:00",
          "2002-10-29T00:00:00",
          "2002-10-30T00:00:00",
          "2002-10-31T00:00:00",
          "2002-11-01T00:00:00",
          "2002-11-04T00:00:00",
          "2002-11-05T00:00:00",
          "2002-11-06T00:00:00",
          "2002-11-07T00:00:00",
          "2002-11-08T00:00:00",
          "2002-11-11T00:00:00",
          "2002-11-12T00:00:00",
          "2002-11-13T00:00:00",
          "2002-11-14T00:00:00",
          "2002-11-15T00:00:00",
          "2002-11-18T00:00:00",
          "2002-11-19T00:00:00",
          "2002-11-20T00:00:00",
          "2002-11-21T00:00:00",
          "2002-11-22T00:00:00",
          "2002-11-25T00:00:00",
          "2002-11-26T00:00:00",
          "2002-11-27T00:00:00",
          "2002-11-29T00:00:00",
          "2002-12-02T00:00:00",
          "2002-12-03T00:00:00",
          "2002-12-04T00:00:00",
          "2002-12-05T00:00:00",
          "2002-12-06T00:00:00",
          "2002-12-09T00:00:00",
          "2002-12-10T00:00:00",
          "2002-12-11T00:00:00",
          "2002-12-12T00:00:00",
          "2002-12-13T00:00:00",
          "2002-12-16T00:00:00",
          "2002-12-17T00:00:00",
          "2002-12-18T00:00:00",
          "2002-12-19T00:00:00",
          "2002-12-20T00:00:00",
          "2002-12-23T00:00:00",
          "2002-12-24T00:00:00",
          "2002-12-26T00:00:00",
          "2002-12-27T00:00:00",
          "2002-12-30T00:00:00",
          "2002-12-31T00:00:00",
          "2003-01-02T00:00:00",
          "2003-01-03T00:00:00",
          "2003-01-06T00:00:00",
          "2003-01-07T00:00:00",
          "2003-01-08T00:00:00",
          "2003-01-09T00:00:00",
          "2003-01-10T00:00:00",
          "2003-01-13T00:00:00",
          "2003-01-14T00:00:00",
          "2003-01-15T00:00:00",
          "2003-01-16T00:00:00",
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          "2003-01-21T00:00:00",
          "2003-01-22T00:00:00",
          "2003-01-23T00:00:00",
          "2003-01-24T00:00:00",
          "2003-01-27T00:00:00",
          "2003-01-28T00:00:00",
          "2003-01-29T00:00:00",
          "2003-01-30T00:00:00",
          "2003-01-31T00:00:00",
          "2003-02-03T00:00:00",
          "2003-02-04T00:00:00",
          "2003-02-05T00:00:00",
          "2003-02-06T00:00:00",
          "2003-02-07T00:00:00",
          "2003-02-10T00:00:00",
          "2003-02-11T00:00:00",
          "2003-02-12T00:00:00",
          "2003-02-13T00:00:00",
          "2003-02-14T00:00:00",
          "2003-02-18T00:00:00",
          "2003-02-19T00:00:00",
          "2003-02-20T00:00:00",
          "2003-02-21T00:00:00",
          "2003-02-24T00:00:00",
          "2003-02-25T00:00:00",
          "2003-02-26T00:00:00",
          "2003-02-27T00:00:00",
          "2003-02-28T00:00:00",
          "2003-03-03T00:00:00",
          "2003-03-04T00:00:00",
          "2003-03-05T00:00:00",
          "2003-03-06T00:00:00",
          "2003-03-07T00:00:00",
          "2003-03-10T00:00:00",
          "2003-03-11T00:00:00",
          "2003-03-12T00:00:00",
          "2003-03-13T00:00:00",
          "2003-03-14T00:00:00",
          "2003-03-17T00:00:00",
          "2003-03-18T00:00:00",
          "2003-03-19T00:00:00",
          "2003-03-20T00:00:00",
          "2003-03-21T00:00:00",
          "2003-03-24T00:00:00",
          "2003-03-25T00:00:00",
          "2003-03-26T00:00:00",
          "2003-03-27T00:00:00",
          "2003-03-28T00:00:00",
          "2003-03-31T00:00:00",
          "2003-04-01T00:00:00",
          "2003-04-02T00:00:00",
          "2003-04-03T00:00:00",
          "2003-04-04T00:00:00",
          "2003-04-07T00:00:00",
          "2003-04-08T00:00:00",
          "2003-04-09T00:00:00",
          "2003-04-10T00:00:00",
          "2003-04-11T00:00:00",
          "2003-04-14T00:00:00",
          "2003-04-15T00:00:00",
          "2003-04-16T00:00:00",
          "2003-04-17T00:00:00",
          "2003-04-21T00:00:00",
          "2003-04-22T00:00:00",
          "2003-04-23T00:00:00",
          "2003-04-24T00:00:00",
          "2003-04-25T00:00:00",
          "2003-04-28T00:00:00",
          "2003-04-29T00:00:00",
          "2003-04-30T00:00:00",
          "2003-05-01T00:00:00",
          "2003-05-02T00:00:00",
          "2003-05-05T00:00:00",
          "2003-05-06T00:00:00",
          "2003-05-07T00:00:00",
          "2003-05-08T00:00:00",
          "2003-05-09T00:00:00",
          "2003-05-12T00:00:00",
          "2003-05-13T00:00:00",
          "2003-05-14T00:00:00",
          "2003-05-15T00:00:00",
          "2003-05-16T00:00:00",
          "2003-05-19T00:00:00",
          "2003-05-20T00:00:00",
          "2003-05-21T00:00:00",
          "2003-05-22T00:00:00",
          "2003-05-23T00:00:00",
          "2003-05-27T00:00:00",
          "2003-05-28T00:00:00",
          "2003-05-29T00:00:00",
          "2003-05-30T00:00:00",
          "2003-06-02T00:00:00",
          "2003-06-03T00:00:00",
          "2003-06-04T00:00:00",
          "2003-06-05T00:00:00",
          "2003-06-06T00:00:00",
          "2003-06-09T00:00:00",
          "2003-06-10T00:00:00",
          "2003-06-11T00:00:00",
          "2003-06-12T00:00:00",
          "2003-06-13T00:00:00",
          "2003-06-16T00:00:00",
          "2003-06-17T00:00:00",
          "2003-06-18T00:00:00",
          "2003-06-19T00:00:00",
          "2003-06-20T00:00:00",
          "2003-06-23T00:00:00",
          "2003-06-24T00:00:00",
          "2003-06-25T00:00:00",
          "2003-06-26T00:00:00",
          "2003-06-27T00:00:00",
          "2003-06-30T00:00:00",
          "2003-07-01T00:00:00",
          "2003-07-02T00:00:00",
          "2003-07-03T00:00:00",
          "2003-07-07T00:00:00",
          "2003-07-08T00:00:00",
          "2003-07-09T00:00:00",
          "2003-07-10T00:00:00",
          "2003-07-11T00:00:00",
          "2003-07-14T00:00:00",
          "2003-07-15T00:00:00",
          "2003-07-16T00:00:00",
          "2003-07-17T00:00:00",
          "2003-07-18T00:00:00",
          "2003-07-21T00:00:00",
          "2003-07-22T00:00:00",
          "2003-07-23T00:00:00",
          "2003-07-24T00:00:00",
          "2003-07-25T00:00:00",
          "2003-07-28T00:00:00",
          "2003-07-29T00:00:00",
          "2003-07-30T00:00:00",
          "2003-07-31T00:00:00",
          "2003-08-01T00:00:00",
          "2003-08-04T00:00:00",
          "2003-08-05T00:00:00",
          "2003-08-06T00:00:00",
          "2003-08-07T00:00:00",
          "2003-08-08T00:00:00",
          "2003-08-11T00:00:00",
          "2003-08-12T00:00:00",
          "2003-08-13T00:00:00",
          "2003-08-14T00:00:00",
          "2003-08-15T00:00:00",
          "2003-08-18T00:00:00",
          "2003-08-19T00:00:00",
          "2003-08-20T00:00:00",
          "2003-08-21T00:00:00",
          "2003-08-22T00:00:00",
          "2003-08-25T00:00:00",
          "2003-08-26T00:00:00",
          "2003-08-27T00:00:00",
          "2003-08-28T00:00:00",
          "2003-08-29T00:00:00",
          "2003-09-02T00:00:00",
          "2003-09-03T00:00:00",
          "2003-09-04T00:00:00",
          "2003-09-05T00:00:00",
          "2003-09-08T00:00:00",
          "2003-09-09T00:00:00",
          "2003-09-10T00:00:00",
          "2003-09-11T00:00:00",
          "2003-09-12T00:00:00",
          "2003-09-15T00:00:00",
          "2003-09-16T00:00:00",
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          "2003-09-18T00:00:00",
          "2003-09-19T00:00:00",
          "2003-09-22T00:00:00",
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          "2003-09-24T00:00:00",
          "2003-09-25T00:00:00",
          "2003-09-26T00:00:00",
          "2003-09-29T00:00:00",
          "2003-09-30T00:00:00",
          "2003-10-01T00:00:00",
          "2003-10-02T00:00:00",
          "2003-10-03T00:00:00",
          "2003-10-06T00:00:00",
          "2003-10-07T00:00:00",
          "2003-10-08T00:00:00",
          "2003-10-09T00:00:00",
          "2003-10-10T00:00:00",
          "2003-10-13T00:00:00",
          "2003-10-14T00:00:00",
          "2003-10-15T00:00:00",
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          "2003-10-20T00:00:00",
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          "2003-10-24T00:00:00",
          "2003-10-27T00:00:00",
          "2003-10-28T00:00:00",
          "2003-10-29T00:00:00",
          "2003-10-30T00:00:00",
          "2003-10-31T00:00:00",
          "2003-11-03T00:00:00",
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          "2003-11-06T00:00:00",
          "2003-11-07T00:00:00",
          "2003-11-10T00:00:00",
          "2003-11-11T00:00:00",
          "2003-11-12T00:00:00",
          "2003-11-13T00:00:00",
          "2003-11-14T00:00:00",
          "2003-11-17T00:00:00",
          "2003-11-18T00:00:00",
          "2003-11-19T00:00:00",
          "2003-11-20T00:00:00",
          "2003-11-21T00:00:00",
          "2003-11-24T00:00:00",
          "2003-11-25T00:00:00",
          "2003-11-26T00:00:00",
          "2003-11-28T00:00:00",
          "2003-12-01T00:00:00",
          "2003-12-02T00:00:00",
          "2003-12-03T00:00:00",
          "2003-12-04T00:00:00",
          "2003-12-05T00:00:00",
          "2003-12-08T00:00:00",
          "2003-12-09T00:00:00",
          "2003-12-10T00:00:00",
          "2003-12-11T00:00:00",
          "2003-12-12T00:00:00",
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          "2003-12-17T00:00:00",
          "2003-12-18T00:00:00",
          "2003-12-19T00:00:00",
          "2003-12-22T00:00:00",
          "2003-12-23T00:00:00",
          "2003-12-24T00:00:00",
          "2003-12-26T00:00:00",
          "2003-12-29T00:00:00",
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          "2004-01-02T00:00:00",
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          "2004-03-16T00:00:00",
          "2004-03-17T00:00:00",
          "2004-03-18T00:00:00",
          "2004-03-19T00:00:00",
          "2004-03-22T00:00:00",
          "2004-03-23T00:00:00",
          "2004-03-24T00:00:00",
          "2004-03-25T00:00:00",
          "2004-03-26T00:00:00",
          "2004-03-29T00:00:00",
          "2004-03-30T00:00:00",
          "2004-03-31T00:00:00",
          "2004-04-01T00:00:00",
          "2004-04-02T00:00:00",
          "2004-04-05T00:00:00",
          "2004-04-06T00:00:00",
          "2004-04-07T00:00:00",
          "2004-04-08T00:00:00",
          "2004-04-12T00:00:00",
          "2004-04-13T00:00:00",
          "2004-04-14T00:00:00",
          "2004-04-15T00:00:00",
          "2004-04-16T00:00:00",
          "2004-04-19T00:00:00",
          "2004-04-20T00:00:00",
          "2004-04-21T00:00:00",
          "2004-04-22T00:00:00",
          "2004-04-23T00:00:00",
          "2004-04-26T00:00:00",
          "2004-04-27T00:00:00",
          "2004-04-28T00:00:00",
          "2004-04-29T00:00:00",
          "2004-04-30T00:00:00",
          "2004-05-03T00:00:00",
          "2004-05-04T00:00:00",
          "2004-05-05T00:00:00",
          "2004-05-06T00:00:00",
          "2004-05-07T00:00:00",
          "2004-05-10T00:00:00",
          "2004-05-11T00:00:00",
          "2004-05-12T00:00:00",
          "2004-05-13T00:00:00",
          "2004-05-14T00:00:00",
          "2004-05-17T00:00:00",
          "2004-05-18T00:00:00",
          "2004-05-19T00:00:00",
          "2004-05-20T00:00:00",
          "2004-05-21T00:00:00",
          "2004-05-24T00:00:00",
          "2004-05-25T00:00:00",
          "2004-05-26T00:00:00",
          "2004-05-27T00:00:00",
          "2004-05-28T00:00:00",
          "2004-06-01T00:00:00",
          "2004-06-02T00:00:00",
          "2004-06-03T00:00:00",
          "2004-06-04T00:00:00",
          "2004-06-07T00:00:00",
          "2004-06-08T00:00:00",
          "2004-06-09T00:00:00",
          "2004-06-10T00:00:00",
          "2004-06-14T00:00:00",
          "2004-06-15T00:00:00",
          "2004-06-16T00:00:00",
          "2004-06-17T00:00:00",
          "2004-06-18T00:00:00",
          "2004-06-21T00:00:00",
          "2004-06-22T00:00:00",
          "2004-06-23T00:00:00",
          "2004-06-24T00:00:00",
          "2004-06-25T00:00:00",
          "2004-06-28T00:00:00",
          "2004-06-29T00:00:00",
          "2004-06-30T00:00:00",
          "2004-07-01T00:00:00",
          "2004-07-02T00:00:00",
          "2004-07-06T00:00:00",
          "2004-07-07T00:00:00",
          "2004-07-08T00:00:00",
          "2004-07-09T00:00:00",
          "2004-07-12T00:00:00",
          "2004-07-13T00:00:00",
          "2004-07-14T00:00:00",
          "2004-07-15T00:00:00",
          "2004-07-16T00:00:00",
          "2004-07-19T00:00:00",
          "2004-07-20T00:00:00",
          "2004-07-21T00:00:00",
          "2004-07-22T00:00:00",
          "2004-07-23T00:00:00",
          "2004-07-26T00:00:00",
          "2004-07-27T00:00:00",
          "2004-07-28T00:00:00",
          "2004-07-29T00:00:00",
          "2004-07-30T00:00:00",
          "2004-08-02T00:00:00",
          "2004-08-03T00:00:00",
          "2004-08-04T00:00:00",
          "2004-08-05T00:00:00",
          "2004-08-06T00:00:00",
          "2004-08-09T00:00:00",
          "2004-08-10T00:00:00",
          "2004-08-11T00:00:00",
          "2004-08-12T00:00:00",
          "2004-08-13T00:00:00",
          "2004-08-16T00:00:00",
          "2004-08-17T00:00:00",
          "2004-08-18T00:00:00",
          "2004-08-19T00:00:00",
          "2004-08-20T00:00:00",
          "2004-08-23T00:00:00",
          "2004-08-24T00:00:00",
          "2004-08-25T00:00:00",
          "2004-08-26T00:00:00",
          "2004-08-27T00:00:00",
          "2004-08-30T00:00:00",
          "2004-08-31T00:00:00",
          "2004-09-01T00:00:00",
          "2004-09-02T00:00:00",
          "2004-09-03T00:00:00",
          "2004-09-07T00:00:00",
          "2004-09-08T00:00:00",
          "2004-09-09T00:00:00",
          "2004-09-10T00:00:00",
          "2004-09-13T00:00:00",
          "2004-09-14T00:00:00",
          "2004-09-15T00:00:00",
          "2004-09-16T00:00:00",
          "2004-09-17T00:00:00",
          "2004-09-20T00:00:00",
          "2004-09-21T00:00:00",
          "2004-09-22T00:00:00",
          "2004-09-23T00:00:00",
          "2004-09-24T00:00:00",
          "2004-09-27T00:00:00",
          "2004-09-28T00:00:00",
          "2004-09-29T00:00:00",
          "2004-09-30T00:00:00",
          "2004-10-01T00:00:00",
          "2004-10-04T00:00:00",
          "2004-10-05T00:00:00",
          "2004-10-06T00:00:00",
          "2004-10-07T00:00:00",
          "2004-10-08T00:00:00",
          "2004-10-11T00:00:00",
          "2004-10-12T00:00:00",
          "2004-10-13T00:00:00",
          "2004-10-14T00:00:00",
          "2004-10-15T00:00:00",
          "2004-10-18T00:00:00",
          "2004-10-19T00:00:00",
          "2004-10-20T00:00:00",
          "2004-10-21T00:00:00",
          "2004-10-22T00:00:00",
          "2004-10-25T00:00:00",
          "2004-10-26T00:00:00",
          "2004-10-27T00:00:00",
          "2004-10-28T00:00:00",
          "2004-10-29T00:00:00",
          "2004-11-01T00:00:00",
          "2004-11-02T00:00:00",
          "2004-11-03T00:00:00",
          "2004-11-04T00:00:00",
          "2004-11-05T00:00:00",
          "2004-11-08T00:00:00",
          "2004-11-09T00:00:00",
          "2004-11-10T00:00:00",
          "2004-11-11T00:00:00",
          "2004-11-12T00:00:00",
          "2004-11-15T00:00:00",
          "2004-11-16T00:00:00",
          "2004-11-17T00:00:00",
          "2004-11-18T00:00:00",
          "2004-11-19T00:00:00",
          "2004-11-22T00:00:00",
          "2004-11-23T00:00:00",
          "2004-11-24T00:00:00",
          "2004-11-26T00:00:00",
          "2004-11-29T00:00:00",
          "2004-11-30T00:00:00",
          "2004-12-01T00:00:00",
          "2004-12-02T00:00:00",
          "2004-12-03T00:00:00",
          "2004-12-06T00:00:00",
          "2004-12-07T00:00:00",
          "2004-12-08T00:00:00",
          "2004-12-09T00:00:00",
          "2004-12-10T00:00:00",
          "2004-12-13T00:00:00",
          "2004-12-14T00:00:00",
          "2004-12-15T00:00:00",
          "2004-12-16T00:00:00",
          "2004-12-17T00:00:00",
          "2004-12-20T00:00:00",
          "2004-12-21T00:00:00",
          "2004-12-22T00:00:00",
          "2004-12-23T00:00:00",
          "2004-12-27T00:00:00",
          "2004-12-28T00:00:00",
          "2004-12-29T00:00:00",
          "2004-12-30T00:00:00",
          "2004-12-31T00:00:00",
          "2005-01-03T00:00:00",
          "2005-01-04T00:00:00",
          "2005-01-05T00:00:00",
          "2005-01-06T00:00:00",
          "2005-01-07T00:00:00",
          "2005-01-10T00:00:00",
          "2005-01-11T00:00:00",
          "2005-01-12T00:00:00",
          "2005-01-13T00:00:00",
          "2005-01-14T00:00:00",
          "2005-01-18T00:00:00",
          "2005-01-19T00:00:00",
          "2005-01-20T00:00:00",
          "2005-01-21T00:00:00",
          "2005-01-24T00:00:00",
          "2005-01-25T00:00:00",
          "2005-01-26T00:00:00",
          "2005-01-27T00:00:00",
          "2005-01-28T00:00:00",
          "2005-01-31T00:00:00",
          "2005-02-01T00:00:00",
          "2005-02-02T00:00:00",
          "2005-02-03T00:00:00",
          "2005-02-04T00:00:00",
          "2005-02-07T00:00:00",
          "2005-02-08T00:00:00",
          "2005-02-09T00:00:00",
          "2005-02-10T00:00:00",
          "2005-02-11T00:00:00",
          "2005-02-14T00:00:00",
          "2005-02-15T00:00:00",
          "2005-02-16T00:00:00",
          "2005-02-17T00:00:00",
          "2005-02-18T00:00:00",
          "2005-02-22T00:00:00",
          "2005-02-23T00:00:00",
          "2005-02-24T00:00:00",
          "2005-02-25T00:00:00",
          "2005-02-28T00:00:00",
          "2005-03-01T00:00:00",
          "2005-03-02T00:00:00",
          "2005-03-03T00:00:00",
          "2005-03-04T00:00:00",
          "2005-03-07T00:00:00",
          "2005-03-08T00:00:00",
          "2005-03-09T00:00:00",
          "2005-03-10T00:00:00",
          "2005-03-11T00:00:00",
          "2005-03-14T00:00:00",
          "2005-03-15T00:00:00",
          "2005-03-16T00:00:00",
          "2005-03-17T00:00:00",
          "2005-03-18T00:00:00",
          "2005-03-21T00:00:00",
          "2005-03-22T00:00:00",
          "2005-03-23T00:00:00",
          "2005-03-24T00:00:00",
          "2005-03-28T00:00:00",
          "2005-03-29T00:00:00",
          "2005-03-30T00:00:00",
          "2005-03-31T00:00:00",
          "2005-04-01T00:00:00",
          "2005-04-04T00:00:00",
          "2005-04-05T00:00:00",
          "2005-04-06T00:00:00",
          "2005-04-07T00:00:00",
          "2005-04-08T00:00:00",
          "2005-04-11T00:00:00",
          "2005-04-12T00:00:00",
          "2005-04-13T00:00:00",
          "2005-04-14T00:00:00",
          "2005-04-15T00:00:00",
          "2005-04-18T00:00:00",
          "2005-04-19T00:00:00",
          "2005-04-20T00:00:00",
          "2005-04-21T00:00:00",
          "2005-04-22T00:00:00",
          "2005-04-25T00:00:00",
          "2005-04-26T00:00:00",
          "2005-04-27T00:00:00",
          "2005-04-28T00:00:00",
          "2005-04-29T00:00:00",
          "2005-05-02T00:00:00",
          "2005-05-03T00:00:00",
          "2005-05-04T00:00:00",
          "2005-05-05T00:00:00",
          "2005-05-06T00:00:00",
          "2005-05-09T00:00:00",
          "2005-05-10T00:00:00",
          "2005-05-11T00:00:00",
          "2005-05-12T00:00:00",
          "2005-05-13T00:00:00",
          "2005-05-16T00:00:00",
          "2005-05-17T00:00:00",
          "2005-05-18T00:00:00",
          "2005-05-19T00:00:00",
          "2005-05-20T00:00:00",
          "2005-05-23T00:00:00",
          "2005-05-24T00:00:00",
          "2005-05-25T00:00:00",
          "2005-05-26T00:00:00",
          "2005-05-27T00:00:00",
          "2005-05-31T00:00:00",
          "2005-06-01T00:00:00",
          "2005-06-02T00:00:00",
          "2005-06-03T00:00:00",
          "2005-06-06T00:00:00",
          "2005-06-07T00:00:00",
          "2005-06-08T00:00:00",
          "2005-06-09T00:00:00",
          "2005-06-10T00:00:00",
          "2005-06-13T00:00:00",
          "2005-06-14T00:00:00",
          "2005-06-15T00:00:00",
          "2005-06-16T00:00:00",
          "2005-06-17T00:00:00",
          "2005-06-20T00:00:00",
          "2005-06-21T00:00:00",
          "2005-06-22T00:00:00",
          "2005-06-23T00:00:00",
          "2005-06-24T00:00:00",
          "2005-06-27T00:00:00",
          "2005-06-28T00:00:00",
          "2005-06-29T00:00:00",
          "2005-06-30T00:00:00",
          "2005-07-01T00:00:00",
          "2005-07-05T00:00:00",
          "2005-07-06T00:00:00",
          "2005-07-07T00:00:00",
          "2005-07-08T00:00:00",
          "2005-07-11T00:00:00",
          "2005-07-12T00:00:00",
          "2005-07-13T00:00:00",
          "2005-07-14T00:00:00",
          "2005-07-15T00:00:00",
          "2005-07-18T00:00:00",
          "2005-07-19T00:00:00",
          "2005-07-20T00:00:00",
          "2005-07-21T00:00:00",
          "2005-07-22T00:00:00",
          "2005-07-25T00:00:00",
          "2005-07-26T00:00:00",
          "2005-07-27T00:00:00",
          "2005-07-28T00:00:00",
          "2005-07-29T00:00:00",
          "2005-08-01T00:00:00",
          "2005-08-02T00:00:00",
          "2005-08-03T00:00:00",
          "2005-08-04T00:00:00",
          "2005-08-05T00:00:00",
          "2005-08-08T00:00:00",
          "2005-08-09T00:00:00",
          "2005-08-10T00:00:00",
          "2005-08-11T00:00:00",
          "2005-08-12T00:00:00",
          "2005-08-15T00:00:00",
          "2005-08-16T00:00:00",
          "2005-08-17T00:00:00",
          "2005-08-18T00:00:00",
          "2005-08-19T00:00:00",
          "2005-08-22T00:00:00",
          "2005-08-23T00:00:00",
          "2005-08-24T00:00:00",
          "2005-08-25T00:00:00",
          "2005-08-26T00:00:00",
          "2005-08-29T00:00:00",
          "2005-08-30T00:00:00",
          "2005-08-31T00:00:00",
          "2005-09-01T00:00:00",
          "2005-09-02T00:00:00",
          "2005-09-06T00:00:00",
          "2005-09-07T00:00:00",
          "2005-09-08T00:00:00",
          "2005-09-09T00:00:00",
          "2005-09-12T00:00:00",
          "2005-09-13T00:00:00",
          "2005-09-14T00:00:00",
          "2005-09-15T00:00:00",
          "2005-09-16T00:00:00",
          "2005-09-19T00:00:00",
          "2005-09-20T00:00:00",
          "2005-09-21T00:00:00",
          "2005-09-22T00:00:00",
          "2005-09-23T00:00:00",
          "2005-09-26T00:00:00",
          "2005-09-27T00:00:00",
          "2005-09-28T00:00:00",
          "2005-09-29T00:00:00",
          "2005-09-30T00:00:00",
          "2005-10-03T00:00:00",
          "2005-10-04T00:00:00",
          "2005-10-05T00:00:00",
          "2005-10-06T00:00:00",
          "2005-10-07T00:00:00",
          "2005-10-10T00:00:00",
          "2005-10-11T00:00:00",
          "2005-10-12T00:00:00",
          "2005-10-13T00:00:00",
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          "2005-10-17T00:00:00",
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          "2005-10-19T00:00:00",
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          "2005-10-24T00:00:00",
          "2005-10-25T00:00:00",
          "2005-10-26T00:00:00",
          "2005-10-27T00:00:00",
          "2005-10-28T00:00:00",
          "2005-10-31T00:00:00",
          "2005-11-01T00:00:00",
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          "2005-11-07T00:00:00",
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          "2005-11-09T00:00:00",
          "2005-11-10T00:00:00",
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          "2006-03-23T00:00:00",
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          "2006-09-01T00:00:00",
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          "2007-02-13T00:00:00",
          "2007-02-14T00:00:00",
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          "2007-03-07T00:00:00",
          "2007-03-08T00:00:00",
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          "2007-03-14T00:00:00",
          "2007-03-15T00:00:00",
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          "2007-03-21T00:00:00",
          "2007-03-22T00:00:00",
          "2007-03-23T00:00:00",
          "2007-03-26T00:00:00",
          "2007-03-27T00:00:00",
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          "2007-03-29T00:00:00",
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          "2007-04-09T00:00:00",
          "2007-04-10T00:00:00",
          "2007-04-11T00:00:00",
          "2007-04-12T00:00:00",
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          "2007-04-20T00:00:00",
          "2007-04-23T00:00:00",
          "2007-04-24T00:00:00",
          "2007-04-25T00:00:00",
          "2007-04-26T00:00:00",
          "2007-04-27T00:00:00",
          "2007-04-30T00:00:00",
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          "2007-05-02T00:00:00",
          "2007-05-03T00:00:00",
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          "2007-05-08T00:00:00",
          "2007-05-09T00:00:00",
          "2007-05-10T00:00:00",
          "2007-05-11T00:00:00",
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          "2007-05-17T00:00:00",
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          "2007-05-21T00:00:00",
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          "2007-05-23T00:00:00",
          "2007-05-24T00:00:00",
          "2007-05-25T00:00:00",
          "2007-05-29T00:00:00",
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          "2007-06-07T00:00:00",
          "2007-06-08T00:00:00",
          "2007-06-11T00:00:00",
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          "2007-06-13T00:00:00",
          "2007-06-14T00:00:00",
          "2007-06-15T00:00:00",
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          "2007-06-22T00:00:00",
          "2007-06-25T00:00:00",
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          "2007-06-29T00:00:00",
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          "2007-07-06T00:00:00",
          "2007-07-09T00:00:00",
          "2007-07-10T00:00:00",
          "2007-07-11T00:00:00",
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          "2007-07-20T00:00:00",
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          "2007-07-24T00:00:00",
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          "2007-07-26T00:00:00",
          "2007-07-27T00:00:00",
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          "2007-08-13T00:00:00",
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          "2007-11-01T00:00:00",
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          "2008-04-02T00:00:00",
          "2008-04-03T00:00:00",
          "2008-04-04T00:00:00",
          "2008-04-07T00:00:00",
          "2008-04-08T00:00:00",
          "2008-04-09T00:00:00",
          "2008-04-10T00:00:00",
          "2008-04-11T00:00:00",
          "2008-04-14T00:00:00",
          "2008-04-15T00:00:00",
          "2008-04-16T00:00:00",
          "2008-04-17T00:00:00",
          "2008-04-18T00:00:00",
          "2008-04-21T00:00:00",
          "2008-04-22T00:00:00",
          "2008-04-23T00:00:00",
          "2008-04-24T00:00:00",
          "2008-04-25T00:00:00",
          "2008-04-28T00:00:00",
          "2008-04-29T00:00:00",
          "2008-04-30T00:00:00",
          "2008-05-01T00:00:00",
          "2008-05-02T00:00:00",
          "2008-05-05T00:00:00",
          "2008-05-06T00:00:00",
          "2008-05-07T00:00:00",
          "2008-05-08T00:00:00",
          "2008-05-09T00:00:00",
          "2008-05-12T00:00:00",
          "2008-05-13T00:00:00",
          "2008-05-14T00:00:00",
          "2008-05-15T00:00:00",
          "2008-05-16T00:00:00",
          "2008-05-19T00:00:00",
          "2008-05-20T00:00:00",
          "2008-05-21T00:00:00",
          "2008-05-22T00:00:00",
          "2008-05-23T00:00:00",
          "2008-05-27T00:00:00",
          "2008-05-28T00:00:00",
          "2008-05-29T00:00:00",
          "2008-05-30T00:00:00",
          "2008-06-02T00:00:00",
          "2008-06-03T00:00:00",
          "2008-06-04T00:00:00",
          "2008-06-05T00:00:00",
          "2008-06-06T00:00:00",
          "2008-06-09T00:00:00",
          "2008-06-10T00:00:00",
          "2008-06-11T00:00:00",
          "2008-06-12T00:00:00",
          "2008-06-13T00:00:00",
          "2008-06-16T00:00:00",
          "2008-06-17T00:00:00",
          "2008-06-18T00:00:00",
          "2008-06-19T00:00:00",
          "2008-06-20T00:00:00",
          "2008-06-23T00:00:00",
          "2008-06-24T00:00:00",
          "2008-06-25T00:00:00",
          "2008-06-26T00:00:00",
          "2008-06-27T00:00:00",
          "2008-06-30T00:00:00",
          "2008-07-01T00:00:00",
          "2008-07-02T00:00:00",
          "2008-07-03T00:00:00",
          "2008-07-07T00:00:00",
          "2008-07-08T00:00:00",
          "2008-07-09T00:00:00",
          "2008-07-10T00:00:00",
          "2008-07-11T00:00:00",
          "2008-07-14T00:00:00",
          "2008-07-15T00:00:00",
          "2008-07-16T00:00:00",
          "2008-07-17T00:00:00",
          "2008-07-18T00:00:00",
          "2008-07-21T00:00:00",
          "2008-07-22T00:00:00",
          "2008-07-23T00:00:00",
          "2008-07-24T00:00:00",
          "2008-07-25T00:00:00",
          "2008-07-28T00:00:00",
          "2008-07-29T00:00:00",
          "2008-07-30T00:00:00",
          "2008-07-31T00:00:00",
          "2008-08-01T00:00:00",
          "2008-08-04T00:00:00",
          "2008-08-05T00:00:00",
          "2008-08-06T00:00:00",
          "2008-08-07T00:00:00",
          "2008-08-08T00:00:00",
          "2008-08-11T00:00:00",
          "2008-08-12T00:00:00",
          "2008-08-13T00:00:00",
          "2008-08-14T00:00:00",
          "2008-08-15T00:00:00",
          "2008-08-18T00:00:00",
          "2008-08-19T00:00:00",
          "2008-08-20T00:00:00",
          "2008-08-21T00:00:00",
          "2008-08-22T00:00:00",
          "2008-08-25T00:00:00",
          "2008-08-26T00:00:00",
          "2008-08-27T00:00:00",
          "2008-08-28T00:00:00",
          "2008-08-29T00:00:00",
          "2008-09-02T00:00:00",
          "2008-09-03T00:00:00",
          "2008-09-04T00:00:00",
          "2008-09-05T00:00:00",
          "2008-09-08T00:00:00",
          "2008-09-09T00:00:00",
          "2008-09-10T00:00:00",
          "2008-09-11T00:00:00",
          "2008-09-12T00:00:00",
          "2008-09-15T00:00:00",
          "2008-09-16T00:00:00",
          "2008-09-17T00:00:00",
          "2008-09-18T00:00:00",
          "2008-09-19T00:00:00",
          "2008-09-22T00:00:00",
          "2008-09-23T00:00:00",
          "2008-09-24T00:00:00",
          "2008-09-25T00:00:00",
          "2008-09-26T00:00:00",
          "2008-09-29T00:00:00",
          "2008-09-30T00:00:00",
          "2008-10-01T00:00:00",
          "2008-10-02T00:00:00",
          "2008-10-03T00:00:00",
          "2008-10-06T00:00:00",
          "2008-10-07T00:00:00",
          "2008-10-08T00:00:00",
          "2008-10-09T00:00:00",
          "2008-10-10T00:00:00",
          "2008-10-13T00:00:00",
          "2008-10-14T00:00:00",
          "2008-10-15T00:00:00",
          "2008-10-16T00:00:00",
          "2008-10-17T00:00:00",
          "2008-10-20T00:00:00",
          "2008-10-21T00:00:00",
          "2008-10-22T00:00:00",
          "2008-10-23T00:00:00",
          "2008-10-24T00:00:00",
          "2008-10-27T00:00:00",
          "2008-10-28T00:00:00",
          "2008-10-29T00:00:00",
          "2008-10-30T00:00:00",
          "2008-10-31T00:00:00",
          "2008-11-03T00:00:00",
          "2008-11-04T00:00:00",
          "2008-11-05T00:00:00",
          "2008-11-06T00:00:00",
          "2008-11-07T00:00:00",
          "2008-11-10T00:00:00",
          "2008-11-11T00:00:00",
          "2008-11-12T00:00:00",
          "2008-11-13T00:00:00",
          "2008-11-14T00:00:00",
          "2008-11-17T00:00:00",
          "2008-11-18T00:00:00",
          "2008-11-19T00:00:00",
          "2008-11-20T00:00:00",
          "2008-11-21T00:00:00",
          "2008-11-24T00:00:00",
          "2008-11-25T00:00:00",
          "2008-11-26T00:00:00",
          "2008-11-28T00:00:00",
          "2008-12-01T00:00:00",
          "2008-12-02T00:00:00",
          "2008-12-03T00:00:00",
          "2008-12-04T00:00:00",
          "2008-12-05T00:00:00",
          "2008-12-08T00:00:00",
          "2008-12-09T00:00:00",
          "2008-12-10T00:00:00",
          "2008-12-11T00:00:00",
          "2008-12-12T00:00:00",
          "2008-12-15T00:00:00",
          "2008-12-16T00:00:00",
          "2008-12-17T00:00:00",
          "2008-12-18T00:00:00",
          "2008-12-19T00:00:00",
          "2008-12-22T00:00:00",
          "2008-12-23T00:00:00",
          "2008-12-24T00:00:00",
          "2008-12-26T00:00:00",
          "2008-12-29T00:00:00",
          "2008-12-30T00:00:00",
          "2008-12-31T00:00:00",
          "2009-01-02T00:00:00",
          "2009-01-05T00:00:00",
          "2009-01-06T00:00:00",
          "2009-01-07T00:00:00",
          "2009-01-08T00:00:00",
          "2009-01-09T00:00:00",
          "2009-01-12T00:00:00",
          "2009-01-13T00:00:00",
          "2009-01-14T00:00:00",
          "2009-01-15T00:00:00",
          "2009-01-16T00:00:00",
          "2009-01-20T00:00:00",
          "2009-01-21T00:00:00",
          "2009-01-22T00:00:00",
          "2009-01-23T00:00:00",
          "2009-01-26T00:00:00",
          "2009-01-27T00:00:00",
          "2009-01-28T00:00:00",
          "2009-01-29T00:00:00",
          "2009-01-30T00:00:00",
          "2009-02-02T00:00:00",
          "2009-02-03T00:00:00",
          "2009-02-04T00:00:00",
          "2009-02-05T00:00:00",
          "2009-02-06T00:00:00",
          "2009-02-09T00:00:00",
          "2009-02-10T00:00:00",
          "2009-02-11T00:00:00",
          "2009-02-12T00:00:00",
          "2009-02-13T00:00:00",
          "2009-02-17T00:00:00",
          "2009-02-18T00:00:00",
          "2009-02-19T00:00:00",
          "2009-02-20T00:00:00",
          "2009-02-23T00:00:00",
          "2009-02-24T00:00:00",
          "2009-02-25T00:00:00",
          "2009-02-26T00:00:00",
          "2009-02-27T00:00:00",
          "2009-03-02T00:00:00",
          "2009-03-03T00:00:00",
          "2009-03-04T00:00:00",
          "2009-03-05T00:00:00",
          "2009-03-06T00:00:00",
          "2009-03-09T00:00:00",
          "2009-03-10T00:00:00",
          "2009-03-11T00:00:00",
          "2009-03-12T00:00:00",
          "2009-03-13T00:00:00",
          "2009-03-16T00:00:00",
          "2009-03-17T00:00:00",
          "2009-03-18T00:00:00",
          "2009-03-19T00:00:00",
          "2009-03-20T00:00:00",
          "2009-03-23T00:00:00",
          "2009-03-24T00:00:00",
          "2009-03-25T00:00:00",
          "2009-03-26T00:00:00",
          "2009-03-27T00:00:00",
          "2009-03-30T00:00:00",
          "2009-03-31T00:00:00",
          "2009-04-01T00:00:00",
          "2009-04-02T00:00:00",
          "2009-04-03T00:00:00",
          "2009-04-06T00:00:00",
          "2009-04-07T00:00:00",
          "2009-04-08T00:00:00",
          "2009-04-09T00:00:00",
          "2009-04-13T00:00:00",
          "2009-04-14T00:00:00",
          "2009-04-15T00:00:00",
          "2009-04-16T00:00:00",
          "2009-04-17T00:00:00",
          "2009-04-20T00:00:00",
          "2009-04-21T00:00:00",
          "2009-04-22T00:00:00",
          "2009-04-23T00:00:00",
          "2009-04-24T00:00:00",
          "2009-04-27T00:00:00",
          "2009-04-28T00:00:00",
          "2009-04-29T00:00:00",
          "2009-04-30T00:00:00",
          "2009-05-01T00:00:00",
          "2009-05-04T00:00:00",
          "2009-05-05T00:00:00",
          "2009-05-06T00:00:00",
          "2009-05-07T00:00:00",
          "2009-05-08T00:00:00",
          "2009-05-11T00:00:00",
          "2009-05-12T00:00:00",
          "2009-05-13T00:00:00",
          "2009-05-14T00:00:00",
          "2009-05-15T00:00:00",
          "2009-05-18T00:00:00",
          "2009-05-19T00:00:00",
          "2009-05-20T00:00:00",
          "2009-05-21T00:00:00",
          "2009-05-22T00:00:00",
          "2009-05-26T00:00:00",
          "2009-05-27T00:00:00",
          "2009-05-28T00:00:00",
          "2009-05-29T00:00:00",
          "2009-06-01T00:00:00",
          "2009-06-02T00:00:00",
          "2009-06-03T00:00:00",
          "2009-06-04T00:00:00",
          "2009-06-05T00:00:00",
          "2009-06-08T00:00:00",
          "2009-06-09T00:00:00",
          "2009-06-10T00:00:00",
          "2009-06-11T00:00:00",
          "2009-06-12T00:00:00",
          "2009-06-15T00:00:00",
          "2009-06-16T00:00:00",
          "2009-06-17T00:00:00",
          "2009-06-18T00:00:00",
          "2009-06-19T00:00:00",
          "2009-06-22T00:00:00",
          "2009-06-23T00:00:00",
          "2009-06-24T00:00:00",
          "2009-06-25T00:00:00",
          "2009-06-26T00:00:00",
          "2009-06-29T00:00:00",
          "2009-06-30T00:00:00",
          "2009-07-01T00:00:00",
          "2009-07-02T00:00:00",
          "2009-07-06T00:00:00",
          "2009-07-07T00:00:00",
          "2009-07-08T00:00:00",
          "2009-07-09T00:00:00",
          "2009-07-10T00:00:00",
          "2009-07-13T00:00:00",
          "2009-07-14T00:00:00",
          "2009-07-15T00:00:00",
          "2009-07-16T00:00:00",
          "2009-07-17T00:00:00",
          "2009-07-20T00:00:00",
          "2009-07-21T00:00:00",
          "2009-07-22T00:00:00",
          "2009-07-23T00:00:00",
          "2009-07-24T00:00:00",
          "2009-07-27T00:00:00",
          "2009-07-28T00:00:00",
          "2009-07-29T00:00:00",
          "2009-07-30T00:00:00",
          "2009-07-31T00:00:00",
          "2009-08-03T00:00:00",
          "2009-08-04T00:00:00",
          "2009-08-05T00:00:00",
          "2009-08-06T00:00:00",
          "2009-08-07T00:00:00",
          "2009-08-10T00:00:00",
          "2009-08-11T00:00:00",
          "2009-08-12T00:00:00",
          "2009-08-13T00:00:00",
          "2009-08-14T00:00:00",
          "2009-08-17T00:00:00",
          "2009-08-18T00:00:00",
          "2009-08-19T00:00:00",
          "2009-08-20T00:00:00",
          "2009-08-21T00:00:00",
          "2009-08-24T00:00:00",
          "2009-08-25T00:00:00",
          "2009-08-26T00:00:00",
          "2009-08-27T00:00:00",
          "2009-08-28T00:00:00",
          "2009-08-31T00:00:00",
          "2009-09-01T00:00:00",
          "2009-09-02T00:00:00",
          "2009-09-03T00:00:00",
          "2009-09-04T00:00:00",
          "2009-09-08T00:00:00",
          "2009-09-09T00:00:00",
          "2009-09-10T00:00:00",
          "2009-09-11T00:00:00",
          "2009-09-14T00:00:00",
          "2009-09-15T00:00:00",
          "2009-09-16T00:00:00",
          "2009-09-17T00:00:00",
          "2009-09-18T00:00:00",
          "2009-09-21T00:00:00",
          "2009-09-22T00:00:00",
          "2009-09-23T00:00:00",
          "2009-09-24T00:00:00",
          "2009-09-25T00:00:00",
          "2009-09-28T00:00:00",
          "2009-09-29T00:00:00",
          "2009-09-30T00:00:00",
          "2009-10-01T00:00:00",
          "2009-10-02T00:00:00",
          "2009-10-05T00:00:00",
          "2009-10-06T00:00:00",
          "2009-10-07T00:00:00",
          "2009-10-08T00:00:00",
          "2009-10-09T00:00:00",
          "2009-10-12T00:00:00",
          "2009-10-13T00:00:00",
          "2009-10-14T00:00:00",
          "2009-10-15T00:00:00",
          "2009-10-16T00:00:00",
          "2009-10-19T00:00:00",
          "2009-10-20T00:00:00",
          "2009-10-21T00:00:00",
          "2009-10-22T00:00:00",
          "2009-10-23T00:00:00",
          "2009-10-26T00:00:00",
          "2009-10-27T00:00:00",
          "2009-10-28T00:00:00",
          "2009-10-29T00:00:00",
          "2009-10-30T00:00:00",
          "2009-11-02T00:00:00",
          "2009-11-03T00:00:00",
          "2009-11-04T00:00:00",
          "2009-11-05T00:00:00",
          "2009-11-06T00:00:00",
          "2009-11-09T00:00:00",
          "2009-11-10T00:00:00",
          "2009-11-11T00:00:00",
          "2009-11-12T00:00:00",
          "2009-11-13T00:00:00",
          "2009-11-16T00:00:00",
          "2009-11-17T00:00:00",
          "2009-11-18T00:00:00",
          "2009-11-19T00:00:00",
          "2009-11-20T00:00:00",
          "2009-11-23T00:00:00",
          "2009-11-24T00:00:00",
          "2009-11-25T00:00:00",
          "2009-11-27T00:00:00",
          "2009-11-30T00:00:00",
          "2009-12-01T00:00:00",
          "2009-12-02T00:00:00",
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          "2009-12-07T00:00:00",
          "2009-12-08T00:00:00",
          "2009-12-09T00:00:00",
          "2009-12-10T00:00:00",
          "2009-12-11T00:00:00",
          "2009-12-14T00:00:00",
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          "2009-12-24T00:00:00",
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          "2010-02-11T00:00:00",
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          "2010-03-08T00:00:00",
          "2010-03-09T00:00:00",
          "2010-03-10T00:00:00",
          "2010-03-11T00:00:00",
          "2010-03-12T00:00:00",
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          "2010-03-16T00:00:00",
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          "2010-03-18T00:00:00",
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          "2010-03-29T00:00:00",
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          "2010-04-06T00:00:00",
          "2010-04-07T00:00:00",
          "2010-04-08T00:00:00",
          "2010-04-09T00:00:00",
          "2010-04-12T00:00:00",
          "2010-04-13T00:00:00",
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          "2010-06-30T00:00:00",
          "2010-07-01T00:00:00",
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          "2010-07-16T00:00:00",
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          "2010-07-22T00:00:00",
          "2010-07-23T00:00:00",
          "2010-07-26T00:00:00",
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          "2010-07-30T00:00:00",
          "2010-08-02T00:00:00",
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          "2010-09-01T00:00:00",
          "2010-09-02T00:00:00",
          "2010-09-03T00:00:00",
          "2010-09-07T00:00:00",
          "2010-09-08T00:00:00",
          "2010-09-09T00:00:00",
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          "2010-09-15T00:00:00",
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          "2010-10-04T00:00:00",
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          "2010-10-07T00:00:00",
          "2010-10-08T00:00:00",
          "2010-10-11T00:00:00",
          "2010-10-12T00:00:00",
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          "2010-10-14T00:00:00",
          "2010-10-15T00:00:00",
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          "2010-10-21T00:00:00",
          "2010-10-22T00:00:00",
          "2010-10-25T00:00:00",
          "2010-10-26T00:00:00",
          "2010-10-27T00:00:00",
          "2010-10-28T00:00:00",
          "2010-10-29T00:00:00",
          "2010-11-01T00:00:00",
          "2010-11-02T00:00:00",
          "2010-11-03T00:00:00",
          "2010-11-04T00:00:00",
          "2010-11-05T00:00:00",
          "2010-11-08T00:00:00",
          "2010-11-09T00:00:00",
          "2010-11-10T00:00:00",
          "2010-11-11T00:00:00",
          "2010-11-12T00:00:00",
          "2010-11-15T00:00:00",
          "2010-11-16T00:00:00",
          "2010-11-17T00:00:00",
          "2010-11-18T00:00:00",
          "2010-11-19T00:00:00",
          "2010-11-22T00:00:00",
          "2010-11-23T00:00:00",
          "2010-11-24T00:00:00",
          "2010-11-26T00:00:00",
          "2010-11-29T00:00:00",
          "2010-11-30T00:00:00",
          "2010-12-01T00:00:00",
          "2010-12-02T00:00:00",
          "2010-12-03T00:00:00",
          "2010-12-06T00:00:00",
          "2010-12-07T00:00:00",
          "2010-12-08T00:00:00",
          "2010-12-09T00:00:00",
          "2010-12-10T00:00:00",
          "2010-12-13T00:00:00",
          "2010-12-14T00:00:00",
          "2010-12-15T00:00:00",
          "2010-12-16T00:00:00",
          "2010-12-17T00:00:00",
          "2010-12-20T00:00:00",
          "2010-12-21T00:00:00",
          "2010-12-22T00:00:00",
          "2010-12-23T00:00:00",
          "2010-12-27T00:00:00",
          "2010-12-28T00:00:00",
          "2010-12-29T00:00:00",
          "2010-12-30T00:00:00",
          "2010-12-31T00:00:00",
          "2011-01-03T00:00:00",
          "2011-01-04T00:00:00",
          "2011-01-05T00:00:00",
          "2011-01-06T00:00:00",
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          "2011-01-10T00:00:00",
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          "2011-02-02T00:00:00",
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          "2011-02-09T00:00:00",
          "2011-02-10T00:00:00",
          "2011-02-11T00:00:00",
          "2011-02-14T00:00:00",
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          "2011-02-25T00:00:00",
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          "2011-03-07T00:00:00",
          "2011-03-08T00:00:00",
          "2011-03-09T00:00:00",
          "2011-03-10T00:00:00",
          "2011-03-11T00:00:00",
          "2011-03-14T00:00:00",
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          "2011-03-16T00:00:00",
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          "2011-03-22T00:00:00",
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          "2011-04-08T00:00:00",
          "2011-04-11T00:00:00",
          "2011-04-12T00:00:00",
          "2011-04-13T00:00:00",
          "2011-04-14T00:00:00",
          "2011-04-15T00:00:00",
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          "2011-04-20T00:00:00",
          "2011-04-21T00:00:00",
          "2011-04-25T00:00:00",
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          "2011-04-27T00:00:00",
          "2011-04-28T00:00:00",
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          "2011-05-02T00:00:00",
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          "2011-05-09T00:00:00",
          "2011-05-10T00:00:00",
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          "2011-05-25T00:00:00",
          "2011-05-26T00:00:00",
          "2011-05-27T00:00:00",
          "2011-05-31T00:00:00",
          "2011-06-01T00:00:00",
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          "2011-06-03T00:00:00",
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          "2011-06-07T00:00:00",
          "2011-06-08T00:00:00",
          "2011-06-09T00:00:00",
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          "2011-06-13T00:00:00",
          "2011-06-14T00:00:00",
          "2011-06-15T00:00:00",
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          "2011-06-30T00:00:00",
          "2011-07-01T00:00:00",
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          "2011-07-06T00:00:00",
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          "2011-07-14T00:00:00",
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          "2011-07-25T00:00:00",
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          "2011-08-01T00:00:00",
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          "2011-08-03T00:00:00",
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          "2011-08-29T00:00:00",
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          "2011-09-01T00:00:00",
          "2011-09-02T00:00:00",
          "2011-09-06T00:00:00",
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          "2011-09-08T00:00:00",
          "2011-09-09T00:00:00",
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          "2011-10-27T00:00:00",
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          "2011-10-31T00:00:00",
          "2011-11-01T00:00:00",
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          "2011-11-07T00:00:00",
          "2011-11-08T00:00:00",
          "2011-11-09T00:00:00",
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          "2011-11-11T00:00:00",
          "2011-11-14T00:00:00",
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          "2011-11-16T00:00:00",
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          "2011-11-23T00:00:00",
          "2011-11-25T00:00:00",
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          "2011-11-30T00:00:00",
          "2011-12-01T00:00:00",
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          "2011-12-07T00:00:00",
          "2011-12-08T00:00:00",
          "2011-12-09T00:00:00",
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          "2011-12-13T00:00:00",
          "2011-12-14T00:00:00",
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          "2012-01-03T00:00:00",
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          "2014-09-05T00:00:00",
          "2014-09-08T00:00:00",
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          "2014-09-19T00:00:00",
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          "2014-09-25T00:00:00",
          "2014-09-26T00:00:00",
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          "2014-09-30T00:00:00",
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          "2014-10-03T00:00:00",
          "2014-10-06T00:00:00",
          "2014-10-07T00:00:00",
          "2014-10-08T00:00:00",
          "2014-10-09T00:00:00",
          "2014-10-10T00:00:00",
          "2014-10-13T00:00:00",
          "2014-10-14T00:00:00",
          "2014-10-15T00:00:00",
          "2014-10-16T00:00:00",
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          "2014-10-21T00:00:00",
          "2014-10-22T00:00:00",
          "2014-10-23T00:00:00",
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          "2014-11-06T00:00:00",
          "2014-11-07T00:00:00",
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          "2014-11-11T00:00:00",
          "2014-11-12T00:00:00",
          "2014-11-13T00:00:00",
          "2014-11-14T00:00:00",
          "2014-11-17T00:00:00",
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          "2014-11-19T00:00:00",
          "2014-11-20T00:00:00",
          "2014-11-21T00:00:00",
          "2014-11-24T00:00:00",
          "2014-11-25T00:00:00",
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          "2014-12-02T00:00:00",
          "2014-12-03T00:00:00",
          "2014-12-04T00:00:00",
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          "2014-12-09T00:00:00",
          "2014-12-10T00:00:00",
          "2014-12-11T00:00:00",
          "2014-12-12T00:00:00",
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          "2014-12-16T00:00:00",
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          "2014-12-19T00:00:00",
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          "2015-01-02T00:00:00",
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          "2015-01-06T00:00:00",
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          "2015-01-14T00:00:00",
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          "2015-01-22T00:00:00",
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          "2015-05-07T00:00:00",
          "2015-05-08T00:00:00",
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          "2015-05-14T00:00:00",
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          "2015-05-21T00:00:00",
          "2015-05-22T00:00:00",
          "2015-05-26T00:00:00",
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          "2015-05-28T00:00:00",
          "2015-05-29T00:00:00",
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          "2015-06-03T00:00:00",
          "2015-06-04T00:00:00",
          "2015-06-05T00:00:00",
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          "2015-06-12T00:00:00",
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          "2015-06-16T00:00:00",
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          "2015-06-18T00:00:00",
          "2015-06-19T00:00:00",
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          "2015-06-26T00:00:00",
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          "2015-07-02T00:00:00",
          "2015-07-06T00:00:00",
          "2015-07-07T00:00:00",
          "2015-07-08T00:00:00",
          "2015-07-09T00:00:00",
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          "2015-07-13T00:00:00",
          "2015-07-14T00:00:00",
          "2015-07-15T00:00:00",
          "2015-07-16T00:00:00",
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          "2015-07-21T00:00:00",
          "2015-07-22T00:00:00",
          "2015-07-23T00:00:00",
          "2015-07-24T00:00:00",
          "2015-07-27T00:00:00",
          "2015-07-28T00:00:00",
          "2015-07-29T00:00:00",
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          "2015-08-03T00:00:00",
          "2015-08-04T00:00:00",
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          "2015-08-10T00:00:00",
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          "2015-08-12T00:00:00",
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          "2015-08-18T00:00:00",
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          "2015-08-21T00:00:00",
          "2015-08-24T00:00:00",
          "2015-08-25T00:00:00",
          "2015-08-26T00:00:00",
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          "2015-08-31T00:00:00",
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          "2015-09-03T00:00:00",
          "2015-09-04T00:00:00",
          "2015-09-08T00:00:00",
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          "2015-09-11T00:00:00",
          "2015-09-14T00:00:00",
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          "2015-09-21T00:00:00",
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          "2015-09-25T00:00:00",
          "2015-09-28T00:00:00",
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          "2015-10-05T00:00:00",
          "2015-10-06T00:00:00",
          "2015-10-07T00:00:00",
          "2015-10-08T00:00:00",
          "2015-10-09T00:00:00",
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          "2015-10-13T00:00:00",
          "2015-10-14T00:00:00",
          "2015-10-15T00:00:00",
          "2015-10-16T00:00:00",
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          "2015-10-20T00:00:00",
          "2015-10-21T00:00:00",
          "2015-10-22T00:00:00",
          "2015-10-23T00:00:00",
          "2015-10-26T00:00:00",
          "2015-10-27T00:00:00",
          "2015-10-28T00:00:00",
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          "2015-11-10T00:00:00",
          "2015-11-11T00:00:00",
          "2015-11-12T00:00:00",
          "2015-11-13T00:00:00",
          "2015-11-16T00:00:00",
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          "2015-11-19T00:00:00",
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          "2015-11-23T00:00:00",
          "2015-11-24T00:00:00",
          "2015-11-25T00:00:00",
          "2015-11-27T00:00:00",
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          "2015-12-03T00:00:00",
          "2015-12-04T00:00:00",
          "2015-12-07T00:00:00",
          "2015-12-08T00:00:00",
          "2015-12-09T00:00:00",
          "2015-12-10T00:00:00",
          "2015-12-11T00:00:00",
          "2015-12-14T00:00:00",
          "2015-12-15T00:00:00",
          "2015-12-16T00:00:00",
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          "2015-12-18T00:00:00",
          "2015-12-21T00:00:00",
          "2015-12-22T00:00:00",
          "2015-12-23T00:00:00",
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          "2015-12-28T00:00:00",
          "2015-12-29T00:00:00",
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          "2016-01-04T00:00:00",
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "make_graph(gme_share_price_data, gme_revenue, 'GME')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "###  <span style='color:#1E90FF'> **Conclusions**  </span>   \n",
    "####  <span style='color:#1E90FF'> 1. Tesla revenues grew exponentially from 2010 to 2021. And the stock price increased accordingly over the same period of time. Although \"revenue\" is not the only criteria for the evolution of a stock price, Tesla stock price is correlated with the revenues and its evolution makes sense. </span>   \n",
    "####  <span style='color:#1E90FF'> 2. Gamestop revenues peaked in 2011 and then decreased and eventually collapsed in 2020. Meanwhile the stock price was skyrocketing in 2021, with erratic variations. This points to a highly speculative, risky asset, which price is totally disconnected with Gamestop financial performance. </span>     "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>About the Authors:</h2> \n",
    "\n",
    "<a href=\"https://www.linkedin.com/in/joseph-s-50398b136/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkPY0220ENSkillsNetwork23455606-2021-01-01\">Joseph Santarcangelo</a> has a PhD in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.\n",
    "\n",
    "Azim Hirjani\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Change Log\n",
    "\n",
    "| Date (YYYY-MM-DD) | Version | Changed By    | Change Description          |\n",
    "| ----------------- | ------- | ------------- | --------------------------- |\n",
    "| 2022-02-28        | 1.2     | Lakshmi Holla | Changed the URL of GameStop |\n",
    "| 2020-11-10        | 1.1     | Malika Singla | Deleted the Optional part   |\n",
    "| 2020-08-27        | 1.0     | Malika Singla | Added lab to GitLab         |\n",
    "\n",
    "<hr>\n",
    "\n",
    "## <h3 align=\"center\"> © IBM Corporation 2020. All rights reserved. <h3/>\n",
    "\n",
    "<p>\n"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python",
   "language": "python",
   "name": "conda-env-python-py"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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