diff --git a/docs/tutorials/data_visualization.ipynb b/docs/tutorials/data_visualization.ipynb
index edc2d7b32..183cfd273 100644
--- a/docs/tutorials/data_visualization.ipynb
+++ b/docs/tutorials/data_visualization.ipynb
@@ -2,6 +2,9 @@
  "cells": [
   {
    "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false
+   },
    "source": [
     "# Data Visualization\n",
     "\n",
@@ -10,90 +13,124 @@
     "## The data\n",
     "\n",
     "First, we need some data to visualize. For this, we use the common example of the Titanic disaster, which is also included in our [`safe-ds-examples` package](https://pypi.org/project/safe-ds-examples). If you want to know more about the dataset, check out its [documentation](https://library-examples.safe-ds.com/en/latest/examples/titanic/). Naturally, you can also use your own data."
-   ],
-   "metadata": {
-    "collapsed": false
-   }
+   ]
   },
   {
    "cell_type": "code",
-   "source": [
-    "from safeds.data.tabular.containers import Table\n",
-    "\n",
-    "titanic = Table.from_csv_file(\"data/titanic.csv\")"
-   ],
+   "execution_count": 1,
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2024-06-20T18:48:39.232324800Z",
      "start_time": "2024-06-20T18:48:39.160577Z"
-    }
+    },
+    "collapsed": false
    },
    "outputs": [],
-   "execution_count": 1
+   "source": [
+    "from safeds.data.tabular.containers import Table\n",
+    "\n",
+    "titanic = Table.from_csv_file(\"data/titanic.csv\")"
+   ]
   },
   {
    "cell_type": "markdown",
-   "source": [
-    "Let's have a quick look at the first 10 rows of the data:"
-   ],
    "metadata": {
     "collapsed": false
-   }
+   },
+   "source": [
+    "Let's have a quick look at the first 10 rows of the data:"
+   ]
   },
   {
    "cell_type": "code",
-   "source": [
-    "titanic.slice_rows(length=10)"
-   ],
+   "execution_count": 2,
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2024-06-20T18:48:39.242848700Z",
      "start_time": "2024-06-20T18:48:39.232324800Z"
-    }
+    },
+    "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "+-----+----------------------+--------+----------+---+----------+-------+---------------+----------+\n|  id | name                 | sex    |      age | … |     fare | cabin | port_embarked | survived |\n| --- | ---                  | ---    |      --- |   |      --- | ---   |           --- |      --- |\n| i64 | str                  | str    |      f64 |   |      f64 | str   |           str |      i64 |\n+==================================================================================================+\n|   0 | Abbing, Mr. Anthony  | male   | 42.00000 | … |  7.55000 | null  |   Southampton |        0 |\n|   1 | Abbott, Master.      | male   | 13.00000 | … | 20.25000 | null  |   Southampton |        0 |\n|     | Eugene Joseph        |        |          |   |          |       |               |          |\n|   2 | Abbott, Mr. Rossmore | male   | 16.00000 | … | 20.25000 | null  |   Southampton |        0 |\n|     | Edward               |        |          |   |          |       |               |          |\n|   3 | Abbott, Mrs. Stanton | female | 35.00000 | … | 20.25000 | null  |   Southampton |        1 |\n|     | (Rosa Hun…           |        |          |   |          |       |               |          |\n|   4 | Abelseth, Miss.      | female | 16.00000 | … |  7.65000 | null  |   Southampton |        1 |\n|     | Karen Marie          |        |          |   |          |       |               |          |\n|   5 | Abelseth, Mr. Olaus  | male   | 25.00000 | … |  7.65000 | F G63 |   Southampton |        1 |\n|     | Jorgensen            |        |          |   |          |       |               |          |\n|   6 | Abelson, Mr. Samuel  | male   | 30.00000 | … | 24.00000 | null  |     Cherbourg |        0 |\n|   7 | Abelson, Mrs. Samuel | female | 28.00000 | … | 24.00000 | null  |     Cherbourg |        1 |\n|     | (Hannah W…           |        |          |   |          |       |               |          |\n|   8 | Abrahamsson, Mr.     | male   | 20.00000 | … |  7.92500 | null  |   Southampton |        1 |\n|     | Abraham Augus…       |        |          |   |          |       |               |          |\n|   9 | Abrahim, Mrs. Joseph | female | 18.00000 | … |  7.22920 | null  |     Cherbourg |        1 |\n|     | (Sophie H…           |        |          |   |          |       |               |          |\n+-----+----------------------+--------+----------+---+----------+-------+---------------+----------+",
-      "text/html": "<div><style>\n.dataframe > thead > tr,\n.dataframe > tbody > tr {\n  text-align: right;\n  white-space: pre-wrap;\n}\n</style>\n<small>shape: (10, 12)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>id</th><th>name</th><th>sex</th><th>age</th><th>siblings_spouses</th><th>parents_children</th><th>ticket</th><th>travel_class</th><th>fare</th><th>cabin</th><th>port_embarked</th><th>survived</th></tr><tr><td>i64</td><td>str</td><td>str</td><td>f64</td><td>i64</td><td>i64</td><td>str</td><td>i64</td><td>f64</td><td>str</td><td>str</td><td>i64</td></tr></thead><tbody><tr><td>0</td><td>&quot;Abbing, Mr. Anthony&quot;</td><td>&quot;male&quot;</td><td>42.0</td><td>0</td><td>0</td><td>&quot;C.A. 5547&quot;</td><td>3</td><td>7.55</td><td>null</td><td>&quot;Southampton&quot;</td><td>0</td></tr><tr><td>1</td><td>&quot;Abbott, Master. Eugene Joseph&quot;</td><td>&quot;male&quot;</td><td>13.0</td><td>0</td><td>2</td><td>&quot;C.A. 2673&quot;</td><td>3</td><td>20.25</td><td>null</td><td>&quot;Southampton&quot;</td><td>0</td></tr><tr><td>2</td><td>&quot;Abbott, Mr. Rossmore Edward&quot;</td><td>&quot;male&quot;</td><td>16.0</td><td>1</td><td>1</td><td>&quot;C.A. 2673&quot;</td><td>3</td><td>20.25</td><td>null</td><td>&quot;Southampton&quot;</td><td>0</td></tr><tr><td>3</td><td>&quot;Abbott, Mrs. Stanton (Rosa Hun…</td><td>&quot;female&quot;</td><td>35.0</td><td>1</td><td>1</td><td>&quot;C.A. 2673&quot;</td><td>3</td><td>20.25</td><td>null</td><td>&quot;Southampton&quot;</td><td>1</td></tr><tr><td>4</td><td>&quot;Abelseth, Miss. Karen Marie&quot;</td><td>&quot;female&quot;</td><td>16.0</td><td>0</td><td>0</td><td>&quot;348125&quot;</td><td>3</td><td>7.65</td><td>null</td><td>&quot;Southampton&quot;</td><td>1</td></tr><tr><td>5</td><td>&quot;Abelseth, Mr. Olaus Jorgensen&quot;</td><td>&quot;male&quot;</td><td>25.0</td><td>0</td><td>0</td><td>&quot;348122&quot;</td><td>3</td><td>7.65</td><td>&quot;F G63&quot;</td><td>&quot;Southampton&quot;</td><td>1</td></tr><tr><td>6</td><td>&quot;Abelson, Mr. Samuel&quot;</td><td>&quot;male&quot;</td><td>30.0</td><td>1</td><td>0</td><td>&quot;P/PP 3381&quot;</td><td>2</td><td>24.0</td><td>null</td><td>&quot;Cherbourg&quot;</td><td>0</td></tr><tr><td>7</td><td>&quot;Abelson, Mrs. Samuel (Hannah W…</td><td>&quot;female&quot;</td><td>28.0</td><td>1</td><td>0</td><td>&quot;P/PP 3381&quot;</td><td>2</td><td>24.0</td><td>null</td><td>&quot;Cherbourg&quot;</td><td>1</td></tr><tr><td>8</td><td>&quot;Abrahamsson, Mr. Abraham Augus…</td><td>&quot;male&quot;</td><td>20.0</td><td>0</td><td>0</td><td>&quot;SOTON/O2 3101284&quot;</td><td>3</td><td>7.925</td><td>null</td><td>&quot;Southampton&quot;</td><td>1</td></tr><tr><td>9</td><td>&quot;Abrahim, Mrs. Joseph (Sophie H…</td><td>&quot;female&quot;</td><td>18.0</td><td>0</td><td>0</td><td>&quot;2657&quot;</td><td>3</td><td>7.2292</td><td>null</td><td>&quot;Cherbourg&quot;</td><td>1</td></tr></tbody></table></div>"
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (10, 12)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>id</th><th>name</th><th>sex</th><th>age</th><th>siblings_spouses</th><th>parents_children</th><th>ticket</th><th>travel_class</th><th>fare</th><th>cabin</th><th>port_embarked</th><th>survived</th></tr><tr><td>i64</td><td>str</td><td>str</td><td>f64</td><td>i64</td><td>i64</td><td>str</td><td>i64</td><td>f64</td><td>str</td><td>str</td><td>i64</td></tr></thead><tbody><tr><td>0</td><td>&quot;Abbing, Mr. Anthony&quot;</td><td>&quot;male&quot;</td><td>42.0</td><td>0</td><td>0</td><td>&quot;C.A. 5547&quot;</td><td>3</td><td>7.55</td><td>null</td><td>&quot;Southampton&quot;</td><td>0</td></tr><tr><td>1</td><td>&quot;Abbott, Master. Eugene Joseph&quot;</td><td>&quot;male&quot;</td><td>13.0</td><td>0</td><td>2</td><td>&quot;C.A. 2673&quot;</td><td>3</td><td>20.25</td><td>null</td><td>&quot;Southampton&quot;</td><td>0</td></tr><tr><td>2</td><td>&quot;Abbott, Mr. Rossmore Edward&quot;</td><td>&quot;male&quot;</td><td>16.0</td><td>1</td><td>1</td><td>&quot;C.A. 2673&quot;</td><td>3</td><td>20.25</td><td>null</td><td>&quot;Southampton&quot;</td><td>0</td></tr><tr><td>3</td><td>&quot;Abbott, Mrs. Stanton (Rosa Hun…</td><td>&quot;female&quot;</td><td>35.0</td><td>1</td><td>1</td><td>&quot;C.A. 2673&quot;</td><td>3</td><td>20.25</td><td>null</td><td>&quot;Southampton&quot;</td><td>1</td></tr><tr><td>4</td><td>&quot;Abelseth, Miss. Karen Marie&quot;</td><td>&quot;female&quot;</td><td>16.0</td><td>0</td><td>0</td><td>&quot;348125&quot;</td><td>3</td><td>7.65</td><td>null</td><td>&quot;Southampton&quot;</td><td>1</td></tr><tr><td>5</td><td>&quot;Abelseth, Mr. Olaus Jorgensen&quot;</td><td>&quot;male&quot;</td><td>25.0</td><td>0</td><td>0</td><td>&quot;348122&quot;</td><td>3</td><td>7.65</td><td>&quot;F G63&quot;</td><td>&quot;Southampton&quot;</td><td>1</td></tr><tr><td>6</td><td>&quot;Abelson, Mr. Samuel&quot;</td><td>&quot;male&quot;</td><td>30.0</td><td>1</td><td>0</td><td>&quot;P/PP 3381&quot;</td><td>2</td><td>24.0</td><td>null</td><td>&quot;Cherbourg&quot;</td><td>0</td></tr><tr><td>7</td><td>&quot;Abelson, Mrs. Samuel (Hannah W…</td><td>&quot;female&quot;</td><td>28.0</td><td>1</td><td>0</td><td>&quot;P/PP 3381&quot;</td><td>2</td><td>24.0</td><td>null</td><td>&quot;Cherbourg&quot;</td><td>1</td></tr><tr><td>8</td><td>&quot;Abrahamsson, Mr. Abraham Augus…</td><td>&quot;male&quot;</td><td>20.0</td><td>0</td><td>0</td><td>&quot;SOTON/O2 3101284&quot;</td><td>3</td><td>7.925</td><td>null</td><td>&quot;Southampton&quot;</td><td>1</td></tr><tr><td>9</td><td>&quot;Abrahim, Mrs. Joseph (Sophie H…</td><td>&quot;female&quot;</td><td>18.0</td><td>0</td><td>0</td><td>&quot;2657&quot;</td><td>3</td><td>7.2292</td><td>null</td><td>&quot;Cherbourg&quot;</td><td>1</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "+-----+----------------------+--------+----------+---+----------+-------+---------------+----------+\n",
+       "|  id | name                 | sex    |      age | … |     fare | cabin | port_embarked | survived |\n",
+       "| --- | ---                  | ---    |      --- |   |      --- | ---   |           --- |      --- |\n",
+       "| i64 | str                  | str    |      f64 |   |      f64 | str   |           str |      i64 |\n",
+       "+==================================================================================================+\n",
+       "|   0 | Abbing, Mr. Anthony  | male   | 42.00000 | … |  7.55000 | null  |   Southampton |        0 |\n",
+       "|   1 | Abbott, Master.      | male   | 13.00000 | … | 20.25000 | null  |   Southampton |        0 |\n",
+       "|     | Eugene Joseph        |        |          |   |          |       |               |          |\n",
+       "|   2 | Abbott, Mr. Rossmore | male   | 16.00000 | … | 20.25000 | null  |   Southampton |        0 |\n",
+       "|     | Edward               |        |          |   |          |       |               |          |\n",
+       "|   3 | Abbott, Mrs. Stanton | female | 35.00000 | … | 20.25000 | null  |   Southampton |        1 |\n",
+       "|     | (Rosa Hun…           |        |          |   |          |       |               |          |\n",
+       "|   4 | Abelseth, Miss.      | female | 16.00000 | … |  7.65000 | null  |   Southampton |        1 |\n",
+       "|     | Karen Marie          |        |          |   |          |       |               |          |\n",
+       "|   5 | Abelseth, Mr. Olaus  | male   | 25.00000 | … |  7.65000 | F G63 |   Southampton |        1 |\n",
+       "|     | Jorgensen            |        |          |   |          |       |               |          |\n",
+       "|   6 | Abelson, Mr. Samuel  | male   | 30.00000 | … | 24.00000 | null  |     Cherbourg |        0 |\n",
+       "|   7 | Abelson, Mrs. Samuel | female | 28.00000 | … | 24.00000 | null  |     Cherbourg |        1 |\n",
+       "|     | (Hannah W…           |        |          |   |          |       |               |          |\n",
+       "|   8 | Abrahamsson, Mr.     | male   | 20.00000 | … |  7.92500 | null  |   Southampton |        1 |\n",
+       "|     | Abraham Augus…       |        |          |   |          |       |               |          |\n",
+       "|   9 | Abrahim, Mrs. Joseph | female | 18.00000 | … |  7.22920 | null  |     Cherbourg |        1 |\n",
+       "|     | (Sophie H…           |        |          |   |          |       |               |          |\n",
+       "+-----+----------------------+--------+----------+---+----------+-------+---------------+----------+"
+      ]
      },
      "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 2
+   "source": [
+    "titanic.slice_rows(length=10)"
+   ]
   },
   {
    "cell_type": "markdown",
-   "source": [
-    "The visualizations we present in this tutorial work on numerical data only. So, let's remove the columns that are not numerical and let's get rid of the `id` column as well while we are at it:"
-   ],
    "metadata": {
     "collapsed": false
-   }
+   },
+   "source": [
+    "The visualizations we present in this tutorial work on numerical data only. So, let's remove the columns that are not numerical and let's get rid of the `id` column as well while we are at it:"
+   ]
   },
   {
    "cell_type": "code",
-   "source": [
-    "titanic_numerical = titanic.remove_columns(\n",
-    "    [\"id\", \"name\", \"sex\", \"ticket\", \"cabin\", \"port_embarked\"]\n",
-    ")"
-   ],
+   "execution_count": 3,
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2024-06-20T18:48:39.243853500Z",
      "start_time": "2024-06-20T18:48:39.241097400Z"
-    }
+    },
+    "collapsed": false
    },
    "outputs": [],
-   "execution_count": 3
+   "source": [
+    "titanic_numerical = titanic.remove_columns(\n",
+    "    [\"id\", \"name\", \"sex\", \"ticket\", \"cabin\", \"port_embarked\"]\n",
+    ")"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false
+   },
    "source": [
     "## Correlation heatmap\n",
     "\n",
@@ -102,38 +139,40 @@
     "* A negative value (blue) means that if one column increases, the other decreases.\n",
     "* A positive value (red) indicates that if one column increases, the other increases as well.\n",
     "* A value of 0 (white) means that the two columns are not correlated at all."
-   ],
-   "metadata": {
-    "collapsed": false
-   }
+   ]
   },
   {
    "cell_type": "code",
-   "source": [
-    "titanic_numerical.plot.correlation_heatmap()"
-   ],
+   "execution_count": 4,
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2024-06-20T18:48:42.497644100Z",
      "start_time": "2024-06-20T18:48:39.243853500Z"
-    }
+    },
+    "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "<safeds.data.image.containers._image.Image at 0x2bdeefd4310>",
-      "image/png": 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"
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KbmWwZMkSeHl5wcrKCkFBQTh8+HChZVesWCFPXMnbrKysjMoIITB16lS4ublBp9MhJCQEFy5cKFPblMQAkIiIiNRBIym7ldK6desQFRWFadOm4fjx4wgICEBoaCiuXbtW6DF6vR5XrlyRt99//93o/U8++QQLFy7E0qVLcejQIdjY2CA0NBQPHjwodfuUpGnbti1Gjx5dZCEvLy8sWLBAfi1JEjZv3lyuDSMiIiKqSPPmzcPQoUMxaNAgNGzYEEuXLoW1tTWWL19e6DGSJMHV1VXeXFxc5PeEEFiwYAHef/99dO3aFf7+/li1ahX++uuvSo+jypQBvHLlCjp16qR0W4iIiMiESZJG0a00srOzcezYMYSEhMj7NBoNQkJCcPDgwUKPy8jIgKenJzw8PNC1a1ecPXtWfu/SpUtIS0szqtPe3h5BQUFF1lkRyhQAurq6QqvVKt0WIiIiIkWlp6cbbVlZWQWW+/vvv5Gbm2uUwQMAFxcXpKWlFXiMt7c3li9fju+++w5ff/01DAYDWrRogT/++AMA5ONKU2dF0QDAw4cPERkZCXt7e1SvXh1TpkyBEKLQgx4fAr58+TIkScLGjRvRrl07WFtbIyAgIF9kGxsbCw8PD1hbW6N79+6YN28eHBwc5PdPnjyJdu3awc7ODnq9Hs2aNcPRo0eLvYDff/8d4eHhqFatGmxsbPD8889j27ZtAID4+HhIkoStW7fC398fVlZWePHFF3HmzBmjOjZs2IDnn38eWq0WXl5emDt3bqHXm8fBwQErVqwA8Oh/DZGRkXBzc4OVlRU8PT0RExMjl719+zaGDBkCZ2dn6PV6vPzyyzh58uRTXzsREVGVUg73AHp4eMDe3l7eHv/7/LSCg4PRv39/NG7cGG3atMHGjRvh7OyMzz//XLFzlBdzAFi5ciUGDx6Mw4cP4+jRoxg2bBhq1aqFoUOHlriiyZMnY86cOahfvz4mT56Mvn374uLFizA3N8eBAwcwfPhwfPzxx/jXv/6FXbt2YcqUKUbHR0REoEmTJvjss89gZmaGhIQEWFhYFHvet99+G9nZ2fjxxx9hY2ODc+fOwdbW1qjM+PHj8emnn8LV1RXvvfcewsPDcf78eVhYWODYsWPo1asXpk+fjt69e+Pnn3/GiBEj4OTkhIEDB5bo2hcuXIjvv/8e33zzDWrVqoXU1FSkpqbK7/fs2RM6nQ7bt2+Hvb09Pv/8c7Rv3x7nz5+Ho6Njqa49KyvL6H8v6enpJWojERGR2kkaDSSFngSSV09qair0er28v7ARzOrVq8PMzAxXr1412n/16lW4urqW6JwWFhZo0qQJLl68CADycVevXoWbm5tRnY0bNy7xtZQHc+BRdDx//nxIkgRvb2+cPn0a8+fPL1UAOG7cOHTp0gUAMGPGDDz//PO4ePEifHx8sGjRInTq1Anjxo0DADRo0AA///wz/vvf/8rHp6SkYPz48fDx8QEA1K9fv0TnTUlJQY8ePeDn5wcAqFOnTr4y06ZNQ4cOHQA8CnZr1qyJTZs2oVevXpg3bx7at28vB6QNGjTAuXPnMHv27BIHgCkpKahfvz5atWoFSZLg6ekpv7d//34cPnwY165dkz90c+bMwebNm7F+/XoMGzasVNceExODGTNmlKhdREREpk6v1xsFgIWxtLREs2bNsHv3bnTr1g0AYDAYsHv3bkRGRpboXLm5uTh9+jQ6d+4MAKhduzZcXV2xe/duOeBLT0/HoUOH8NZbb5XpepSiAYAXX3zR6KHJwcHBuHDhAnJzc0tckb+/v/x1XpSbN206KSkJzZs3Nyr/5OuoqCgMGTIEISEh+Oijj5CcnFyi844aNQoffPABWrZsiWnTpuHUqVP5ygQHB8tfOzo6wtvbG4mJiQCAxMREtGzZ0qh8y5YtS3X9AwcOREJCAry9vTFq1Cjs2LFDfu/kyZPIyMiAk5MTbG1t5e3SpUvyNZbm2idNmoQ7d+7I2+OZRiIiomeaJCm7lVJUVBRiY2OxcuVKJCYm4q233kJmZiYGDRoEAOjfvz8mTZokl585cyZ27NiB3377DcePH0e/fv3w+++/Y8iQIf9cjoTRo0fjgw8+wPfff4/Tp0+jf//+cHd3l4PMyqLYOoCPD1nmBZMGg6HEx0+fPh1nz55Fly5dsGfPHjRs2BCbNm0q9rghQ4bgt99+wxtvvIHTp08jMDAQixYtKv0FFEGSpHz3RObk5MhfN23aFJcuXUJ0dDTu37+PXr164bXXXgPwaHaQm5sbEhISjLakpCSMHz8eQOmuXavVyv+bKen/aoiIiKh4vXv3xpw5czB16lQ0btwYCQkJiIuLkydxpKSk4MqVK3L5W7duYejQofD19UXnzp2Rnp6On3/+GQ0bNpTLvPvuuxg5ciSGDRuGF154ARkZGYiLi8u3YHRFMweAQ4cOGe385ZdfUL9+fZiZmSlyEm9vbxw5csRo35OvgUfDrw0aNMCYMWPQt29ffPXVV+jevXux9Xt4eGD48OEYPnw4Jk2ahNjYWIwcOVJ+/5dffkGtWrUAPPpmnT9/Hr6+vgAAX19fHDhwwKi+AwcOoEGDBvL1Ozs7G33DL1y4gHv37hkdo9fr0bt3b/Tu3RuvvfYawsLCcPPmTTRt2hRpaWkwNzeHl5dXoddQ1msnIiKqMjQSoNA9gGVZCBoAIiMjCx3yjY+PN3o9f/58zJ8/v8j6JEnCzJkzMXPmzDK1p7yYA48i2qioKPzf//0fjh8/jkWLFuWbCfs0Ro4ciZdeegnz5s1DeHg49uzZg+3bt8uZwvv372P8+PF47bXXULt2bfzxxx84cuQIevToUWzdo0ePRqdOndCgQQPcunULe/fulYO7PDNnzoSTkxNcXFwwefJkVK9eXU69jh07Fi+88AKio6PRu3dvHDx4EIsXL8a///1v+fiXX34ZixcvRnBwMHJzczFhwgSjjOe8efPg5uaGJk2aQKPR4Ntvv4WrqyscHBwQEhKC4OBgdOvWDZ988gkaNGiAv/76C1u3bkX37t3x/PPPl/naiYiIqpQyDt0WWhcVyhx4NKZ9//59NG/eHGZmZnjnnXcwbNgwxU7SsmVLLF26FDNmzMD777+P0NBQjBkzBosXLwYAmJmZ4caNG+jfvz+uXr2K6tWr49VXXy3RZIfc3Fy8/fbb+OOPP6DX6xEWFpYvGv/oo4/wzjvv4MKFC2jcuDG2bNkCS0tLAI+Gb7/55htMnToV0dHRcHNzw8yZM40mgMydOxeDBg1C69at4e7ujk8//RTHjh2T37ezs8Mnn3yCCxcuwMzMDC+88AK2bdsGzT//i9m2bRsmT56MQYMG4fr163B1dcVLL70EFxeXp7p2IiIiorKQRFEL/pWjoUOH4tdff8VPP/1UbueIj49Hu3btcOvWLaM1B6uS9PR02NvbY/eRy7C15f2AAHCt0YuV3QRVCdk4qrKboDo3vFtXdhNUxfr+jcpugqpct8u/moQpy7h7F82a+OHOnTvldt953t+ytM8nQ69T5t649PsP4Pp/H5Zru59l5hV1ojlz5qBDhw6wsbHB9u3bsXLlSqNhViIiIiKqGIrNAi7O4cOH0aFDB/j5+WHp0qVYuHChPE26KJ06dTJaPuXxbdasWRXQciIiIqoQkkbZjQpVYRnAb775pkzHffHFF7h//36B7zk6OhZ5bNu2bYt8pB0RERGpiCSVefZugXVRoSosACyr5557rrKbQERERFSlqD4AJCIiItMgSRpICg3dKlVPVcUAkIiIiNRBo+AQsFL1VFEMj4mIiIhMDDOAREREpA5Kzt7lEHCR2DtEREREJoYZQCIiIlIHPgu4wjAAJCIiInXQaB5tStVFhWLvEBEREZkYZgCJiIhIHTgJpMKwd4iIiIhMDDOAREREpA5cCLrCMAAkIiIidZAkBYeAGQAWhUPARERERCaGGUAiIiJSB64DWGGYASQiIiIyMcwAEhERkTpwIegKwwCQiIiI1IFDwBWG4TERERGRiWEGkIiIiNSBTwKpMOwdIiIiIhPDDCARERGpg6TgJBBmAIvEAJCIiIjUgZNAKgzDYyIiIiITwwwgERERqQMngVQYBoBVhN4sE7bm/LADgP/GUZXdBFXZ9erCym6C6jT6tUNlN0FVzB9kVHYTVEWvvVHZTVAVKacCPx8cAq4wjBiIiIiITAwzgERERKQOfBRchWHvEBEREZkYZgCJiIhIFYQkQSh0755S9VRVDACJiIhIHSRJwVnADACLwiFgIiIiIhPDDCARERGpA9cBrDDsHSIiIiITwwwgERERqQIngVQcBoBERESkDhwCrjDsHSIiIqJ/LFmyBF5eXrCyskJQUBAOHz5caNnY2Fi0bt0a1apVQ7Vq1RASEpKv/MCBAyFJktEWFhZW3pdRLAaAREREpA55zwJWaiuldevWISoqCtOmTcPx48cREBCA0NBQXLt2rcDy8fHx6Nu3L/bu3YuDBw/Cw8MDHTt2xJ9//mlULiwsDFeuXJG3//znP2XqHiUxACQiIiICMG/ePAwdOhSDBg1Cw4YNsXTpUlhbW2P58uUFll+9ejVGjBiBxo0bw8fHB1988QUMBgN2795tVE6r1cLV1VXeqlWrVhGXUyQGgERERKQOec8CVmoDkJ6ebrRlZWUVeOrs7GwcO3YMISEhjzVHg5CQEBw8eLBEzb937x5ycnLg6OhotD8+Ph41atSAt7c33nrrLdy4caOMHaQcBoBERESkCnmzgJXaAMDDwwP29vbyFhMTU+C5//77b+Tm5sLFxcVov4uLC9LS0krU/gkTJsDd3d0oiAwLC8OqVauwe/dufPzxx9i3bx86deqE3NzcMvaSMjgLmIiIiKqs1NRU6PV6+bVWqy2X83z00UdYu3Yt4uPjYWVlJe/v06eP/LWfnx/8/f1Rt25dxMfHo3379uXSlpJgBpCIiIjUIW8ZGKU2AHq93mgrLACsXr06zMzMcPXqVaP9V69ehaura5HNnjNnDj766CPs2LED/v7+RZatU6cOqlevjosXL5aiY5THAJCIiIhMnqWlJZo1a2Y0gSNvQkdwcHChx33yySeIjo5GXFwcAgMDiz3PH3/8gRs3bsDNzU2RdpcVh4CJiIhIFYSkgVBoAeey1BMVFYUBAwYgMDAQzZs3x4IFC5CZmYlBgwYBAPr374/nnntOvo/w448/xtSpU7FmzRp4eXnJ9wra2trC1tYWGRkZmDFjBnr06AFXV1ckJyfj3XffRb169RAaGqrIdZYVA0AiIiJShzKu31doXaXUu3dvXL9+HVOnTkVaWhoaN26MuLg4eWJISkoKNJr/BZafffYZsrOz8dprrxnVM23aNEyfPh1mZmY4deoUVq5cidu3b8Pd3R0dO3ZEdHR0ud2LWFIMAImIiIj+ERkZicjIyALfi4+PN3p9+fLlIuvS6XT44YcfFGqZshgAEhERkSoIKDgEzGkORWIASEREROpQyUPApoThMREREZGJYQaQiIiI1EGS5PX7FKmLCsUMIBEREZGJYQaQiIiIVOHxZ/gqURcVrkpnAOPj4yFJEm7fvl1omenTp6Nx48by64EDB6Jbt25F1tu2bVuMHj1akTYSERHRP8rhUXBUsArvnScDrso2btw4o8e+EBEREVV1JRoCFkIgNzcX5uZVb8Q473EtSsrOzoalpaWidRIREVV1AhIEFBoCVqieqkrj6uqK119/HdeuXZN35g2dbt++Hc2aNYNWq8X+/fthMBgQExOD2rVrQ6fTISAgAOvXr8933O7duxEYGAhra2u0aNECSUlJAIAVK1ZgxowZOHnyJCRJgiRJWLFiBYQQmD59OmrVqgWtVgt3d3eMGjWqRBeQlZWFCRMmwMPDA1qtFvXq1cOXX35pVObYsWMFtgcoPiOZmZmJ/v37w9bWFm5ubpg7d26+Ml5eXoiOjkb//v2h1+sxbNgwAMD+/fvRunVr6HQ6eHh4YNSoUcjMzDQ6btasWXjzzTdhZ2eHWrVqYdmyZSW6biIiIqKy0mzevBmXL1/GwIED8705ceJEfPTRR0hMTIS/vz9iYmKwatUqLF26FGfPnsWYMWPQr18/7Nu3z+i4yZMnY+7cuTh69CjMzc3x5ptvAnj0jL2xY8fi+eefx5UrV3DlyhX07t0bGzZswPz58/H555/jwoUL2Lx5M/z8/Ep0Af3798d//vMfLFy4EImJifj888/zZfQKa09JjB8/Hvv27cN3332HHTt2ID4+HsePH89Xbs6cOQgICMCJEycwZcoUJCcnIywsDD169MCpU6ewbt067N+/P9/jZebOnYvAwECcOHECI0aMwFtvvWUUoBIREZkKIWkU3ahw5i+++CIWLlyIF154ARkZGUbB08yZM9GhQwcAjzJts2bNwq5duxAcHAwAqFOnDvbv34/PP/8cbdq0kY/78MMP5dcTJ05Ely5d8ODBA+h0Otja2sLc3Byurq5y+ZSUFLi6uiIkJAQWFhaoVasWmjdvXmzjz58/j2+++QY7d+5ESEiI3KYnFdYeKyurIuvPyMjAl19+ia+//hrt27cHAKxcuRI1a9bMV/bll1/G2LFj5ddDhgxBRESEPFmkfv36WLhwIdq0aYPPPvtMPnfnzp0xYsQIAMCECRMwf/587N27F97e3gW2KSsrC1lZWfLr9PT0Iq+BiIjomaHk5A0GgEXS2NnZycFRSkqK0ZuBgYHy1xcvXsS9e/fQoUMH+b45W1tbrFq1CsnJyUbH+fv7y1+7ubkBgNEQ85N69uyJ+/fvo06dOhg6dCg2bdqEhw8fFtv4hIQEmJmZGQWfBSlte/IkJycjOzsbQUFB8j5HR8cCg7PH+woATp48iRUrVhj1VWhoKAwGAy5dulRg2yRJgqura5Fti4mJgb29vbx5eHgUex1EREREjzM/cuQIUlJSEBoaiuzsbKM3bWxs5K8zMjIAAFu3bsVzzz1nVE6r1Rq9trCwkL+W/lmHx2AwFNoIDw8PJCUlYdeuXdi5cydGjBiB2bNnY9++fUZ1PUmn0xVzeWVrT1k83lfAo/76v//7vwLvZaxVq1aBbctrX1FtmzRpEqKiouTX6enpDAKJiKhK4DqAFcfcx8cHR48eLbZgw4YNodVqkZKSUmzGrSiWlpbIzc3Nt1+n0yE8PBzh4eF4++234ePjg9OnT6Np06aF1uXn5weDwYB9+/bJQ8BKqlu3LiwsLHDo0CE5aLt16xbOnz9fbB80bdoU586dQ7169RRtk1arzRdwExEREZWG+ffff4/o6OhiC9rZ2WHcuHEYM2YMDAYDWrVqhTt37uDAgQPQ6/UYMGBAiU7o5eWFS5cuISEhATVr1oSdnR3+85//IDc3F0FBQbC2tsbXX38NnU4HT0/PYusaMGAA3nzzTSxcuBABAQH4/fffce3aNfTq1atE7SmKra0tBg8ejPHjx8PJyQk1atTA5MmTodEUf1/BhAkT8OKLLyIyMhJDhgyBjY0Nzp07h507d2Lx4sVP3TYiIqKqRsnJG5wEUjTzjz76CHPmzMG//vWvYgtHR0fD2dkZMTEx+O233+Dg4ICmTZvivffeK/EJe/TogY0bN6Jdu3a4ffs2vvrqKzg4OOCjjz5CVFQUcnNz4efnhy1btsDJyanY+j777DO89957GDFiBG7cuIFatWqVqj3FmT17NjIyMhAeHg47OzuMHTsWd+7cKfY4f39/7Nu3D5MnT0br1q0hhEDdunXRu3dvxdpGRERUpUjSo02puqhQkhBCVHYjqOzS09Nhb2+PI8fPwtbOrrKbowpe576v7Caoyq5XF1Z2E1Sn0a9bKrsJquL0N5eeelym/XPFFzIhdzMy0KB5G9y5cwd6vb5czpH3t+zSz3HQ29oUf0BJ6szIRO0WYeXa7mdZ1Xu0BxERET2blFy/j0PARVJ17/z0009Gy6g8uRERERFR6ak6AxgYGIiEhITKbgYRERFVAD4LuOKoOgDU6XSKL6NCRERE6sRZwBWHvUNERERkYlSdASQiIiITIkHBZWCUqaaqYgBIREREqiCggVBocFKpeqoq9g4RERGRiWEGkIiIiFRBSBKEQkPAStVTVTEDSERERGRimAEkIiIiVeAyMBWHASARERGpAheCrjgMj4mIiIhMDDOAREREpAocAq447B0iIiIiE8MMIBEREakCl4GpOAwAiYiISBU4CaTicAiYiIiIyMQwA0hERESqwEkgFYe9Q0RERGRimAEkIiIiVeA9gBWHASARERGpgoCCQ8Ac5CwSe4eIiIjIxDAAJCIiIlXIGwJWaiuLJUuWwMvLC1ZWVggKCsLhw4eLLP/tt9/Cx8cHVlZW8PPzw7Zt24yvSQhMnToVbm5u0Ol0CAkJwYULF8rUNiUxACQiIiICsG7dOkRFRWHatGk4fvw4AgICEBoaimvXrhVY/ueff0bfvn0xePBgnDhxAt26dUO3bt1w5swZucwnn3yChQsXYunSpTh06BBsbGwQGhqKBw8eVNRlFYgBIBEREanCoyeBaBTaSp8BnDdvHoYOHYpBgwahYcOGWLp0KaytrbF8+fICy3/66acICwvD+PHj4evri+joaDRt2hSLFy9+dD1CYMGCBXj//ffRtWtX+Pv7Y9WqVfjrr7+wefPmp+mqp8YAkIiIiFShMoeAs7OzcezYMYSEhMj7NBoNQkJCcPDgwQKPOXjwoFF5AAgNDZXLX7p0CWlpaUZl7O3tERQUVGidFYWzgImIiKjKSk9PN3qt1Wqh1Wrzlfv777+Rm5sLFxcXo/0uLi749ddfC6w7LS2twPJpaWny+3n7CitTWRgAVhG/pD4HnY2+spuhCnberSu7CarS6NcOld0E1TnjE17ZTVCVE6vOVnYTVKVRPa4f97h7GenFF1LIoyFghdYB/KceDw8Po/3Tpk3D9OnTFTnHs4wBIBEREamCEBKEUCgA/Kee1NRU6PX/S5AUlP0DgOrVq8PMzAxXr1412n/16lW4uroWeIyrq2uR5fP+vXr1Ktzc3IzKNG7cuHQXpDDeA0hERERVll6vN9oKCwAtLS3RrFkz7N69W95nMBiwe/duBAcHF3hMcHCwUXkA2Llzp1y+du3acHV1NSqTnp6OQ4cOFVpnRWEGkIiIiFRCo+ATPEpfT1RUFAYMGIDAwEA0b94cCxYsQGZmJgYNGgQA6N+/P5577jnExMQAAN555x20adMGc+fORZcuXbB27VocPXoUy5YtAwBIkoTRo0fjgw8+QP369VG7dm1MmTIF7u7u6Natm0LXWTYMAImIiIgA9O7dG9evX8fUqVORlpaGxo0bIy4uTp7EkZKSAo3mf4FlixYtsGbNGrz//vt47733UL9+fWzevBmNGjWSy7z77rvIzMzEsGHDcPv2bbRq1QpxcXGwsrKq8Ot7nCSEEJXaAnoq6enpsLe3x6LvbnMSyD/Cap6u7CaoSo5Z5f6SUSNOAjHGSSDGOAnE2L2MdPRr74g7d+4Y3UunpLy/ZcdOnIGtnZ0idWbcvYtmTRqVa7ufZcwAEhERkSo8zSPcCqqLCsdJIEREREQmhhlAIiIiUgVmACsOM4BEREREJoYZQCIiIlIFZgArDgNAIiIiUoXyeBIIFYxDwEREREQmhhlAIiIiUgUOAVccZgCJiIiITAwzgERERKQKzABWHAaAREREpAoMACsOh4CJiIiITAwzgERERKQKAgouA8MMYJGYASQiIiIyMcwAEhERkSoYIMGgUOZOqXqqKgaAREREpAqcBFJxOARMREREZGKYASQiIiJV4LOAKw4DQCIiIlIFAeWGboUitVRdHAImIiIiMjHMABIREZEqcAi44jADSERERGRimAEkIiIiVeAyMBXHZDKAly9fhiRJSEhIeOq6Bg4ciG7duj11PURERPQ/eUPASm1UuHINANu2bYvRo0eX5ymIiIiIqJQqdQhYCIHc3FyYm3MkmoiIyNQJAAYF66LClVsGcODAgdi3bx8+/fRTSJIESZKwYsUKSJKE7du3o1mzZtBqtdi/fz+Sk5PRtWtXuLi4wNbWFi+88AJ27dol1/Xee+8hKCgo3zkCAgIwc+ZM+fUXX3wBX19fWFlZwcfHB//+97/L3P6zZ8/ilVdegV6vh52dHVq3bo3k5OQCy8bFxaFVq1ZwcHCAk5MTXnnlFaOy2dnZiIyMhJubG6ysrODp6YmYmBgAj4Lg6dOno1atWtBqtXB3d8eoUaPK3G4iIiKi4pRb6u3TTz/F+fPn0ahRIzlIO3v2LABg4sSJmDNnDurUqYNq1aohNTUVnTt3xocffgitVotVq1YhPDwcSUlJqFWrFiIiIhATE4Pk5GTUrVtXruvUqVPYsGEDAGD16tWYOnUqFi9ejCZNmuDEiRMYOnQobGxsMGDAgFK1/c8//8RLL72Etm3bYs+ePdDr9Thw4AAePnxYYPnMzExERUXB398fGRkZmDp1Krp3746EhARoNBosXLgQ33//Pb755hvUqlULqampSE1NBQBs2LAB8+fPx9q1a/H8888jLS0NJ0+eLLRtWVlZyMrKkl+np6eX6tqIiIjUisvAVJxyCwDt7e1haWkJa2truLq6AgB+/fVXAMDMmTPRoUMHuayjoyMCAgLk19HR0di0aRO+//57REZG4vnnn0dAQADWrFmDKVOmAHgU8AUFBaFevXoAgGnTpmHu3Ll49dVXAQC1a9fGuXPn8Pnnn5c6AFyyZAns7e2xdu1aWFhYAAAaNGhQaPkePXoYvV6+fDmcnZ1x7tw5NGrUCCkpKahfvz5atWoFSZLg6ekpl01JSYGrqytCQkJgYWGBWrVqoXnz5oWeKyYmBjNmzCjV9RARET0LOAu44lTKLODAwECj1xkZGRg3bhx8fX3h4OAAW1tbJCYmIiUlRS4TERGBNWvWAHg0bPqf//wHERERAB5l4JKTkzF48GDY2trK2wcffFDosG1REhIS0Lp1azn4K86FCxfQt29f1KlTB3q9Hl5eXgAgt3/gwIFISEiAt7c3Ro0ahR07dsjH9uzZE/fv30edOnUwdOhQbNq0qdBMIwBMmjQJd+7ckbe8TCIRERFRSVXK7AsbGxuj1+PGjcPOnTsxZ84c1KtXDzqdDq+99hqys7PlMn379sWECRNw/Phx3L9/H6mpqejduzeARwEkAMTGxua7V9DMzKzU7dPpdKUqHx4eDk9PT8TGxsLd3R0GgwGNGjWS29+0aVNcunQJ27dvx65du9CrVy+EhIRg/fr18PDwQFJSEnbt2oWdO3dixIgRmD17Nvbt21dgAKrVaqHVakt9TURERGrHIeCKU64BoKWlJXJzc4std+DAAQwcOBDdu3cH8Cigu3z5slGZmjVrok2bNli9ejXu37+PDh06oEaNGgAAFxcXuLu747fffpOzgk/D398fK1euRE5OTrFZwBs3biApKQmxsbFo3bo1AGD//v35yun1evTu3Ru9e/fGa6+9hrCwMNy8eROOjo7Q6XQIDw9HeHg43n77bfj4+OD06dNo2rTpU18LERER0ZPKNQD08vLCoUOHcPnyZdja2sJgKHhyd/369bFx40aEh4dDkiRMmTKlwLIRERGYNm0asrOzMX/+fKP3ZsyYgVGjRsHe3h5hYWHIysrC0aNHcevWLURFRZWq3ZGRkVi0aBH69OmDSZMmwd7eHr/88guaN28Ob29vo7LVqlWDk5MTli1bBjc3N6SkpGDixIlGZebNmwc3Nzc0adIEGo0G3377LVxdXeHg4IAVK1YgNzcXQUFBsLa2xtdffw2dTmd0nyAREZEp4D2AFadc7wEcN24czMzM0LBhQzg7Oxvd0/e4efPmoVq1amjRogXCw8MRGhpaYPbrtddew40bN3Dv3r18T+IYMmQIvvjiC3z11Vfw8/NDmzZtsGLFCtSuXbvU7XZycsKePXuQkZGBNm3aoFmzZoiNjS0wG6jRaLB27VocO3YMjRo1wpgxYzB79myjMnZ2dvjkk08QGBiIF154AZcvX8a2bdug0Wjg4OCA2NhYtGzZEv7+/ti1axe2bNkCJyenUrebiIjoWWYQym5UOEkIwS56hqWnp8Pe3h6LvrsNnY2+spujCmE1T1d2E1Qlx8yqspugOmd8wiu7CapyYtXZym6CqjSqx8zR4+5lpKNfe0fcuXMHen35/J3J+1u27Ze/YGOrzDkyM9LR+UX3cm33s4yP4CAiIiJV4BBwxamUZWAq2/Dhw42Wi3l8Gz58eGU3j4iIiKhcmWQGcObMmRg3blyB7zFNTEREVDm4DEzFMckAsEaNGvISMkRERKQOQjzalKqLCmeSQ8BEREREpswkM4BERESkPgZIMCg0eUOpeqoqBoBERESkCrwHsOJwCJiIiIioFG7evImIiAjo9Xo4ODhg8ODByMjIKLL8yJEj4e3tDZ1Oh1q1amHUqFG4c+eOUTlJkvJta9euLZdrYAaQiIiIVOFZmQQSERGBK1euYOfOncjJycGgQYMwbNgwrFmzpsDyf/31F/766y/MmTMHDRs2xO+//47hw4fjr7/+wvr1643KfvXVVwgLC5NfOzg4lMs1MAAkIiIiKqHExETExcXhyJEjCAwMBAAsWrQInTt3xpw5c+Du7p7vmEaNGmHDhg3y67p16+LDDz9Ev3798PDhQ5ib/y8cc3BwgKura7lfB4eAiYiISBXyngSi1AY8eszc41tWVtZTtfHgwYNwcHCQgz8ACAkJgUajwaFDh0pcT94j6h4P/gDg7bffRvXq1dG8eXMsX74c5fXEXmYAiYiISBUM4tGmVF0A4OHhYbR/2rRpmD59epnrTUtLy7eWsLm5ORwdHZGWllaiOv7++29ER0dj2LBhRvtnzpyJl19+GdbW1tixYwdGjBiBjIwMjBo1qsztLQwDQCIiIqqyUlNTjZ7ypdVqCyw3ceJEfPzxx0XWlZiY+NTtSU9PR5cuXdCwYcN8geiUKVPkr5s0aYLMzEzMnj2bASARERFVYQouA4N/6tHr9SV6zOvYsWMxcODAIsvUqVMHrq6uuHbtmtH+hw8f4ubNm8Xeu3f37l2EhYXBzs4OmzZtgoWFRZHlg4KCEB0djaysrEID17JiAEhEREQmz9nZGc7OzsWWCw4Oxu3bt3Hs2DE0a9YMALBnzx4YDAYEBQUVelx6ejpCQ0Oh1Wrx/fffw8rKqthzJSQkoFq1aooHfwADQCIiIlKJZ2EZGF9fX4SFhWHo0KFYunQpcnJyEBkZiT59+sgzgP/880+0b98eq1atQvPmzZGeno6OHTvi3r17+Prrr+UJKcCjwNPMzAxbtmzB1atX8eKLL8LKygo7d+7ErFmzMG7cuHK5DgaAREREpArPyqPgVq9ejcjISLRv3x4ajQY9evTAwoUL5fdzcnKQlJSEe/fuAQCOHz8uzxCuV6+eUV2XLl2Cl5cXLCwssGTJEowZMwZCCNSrVw/z5s3D0KFDy+UaGAASERERlYKjo2Ohiz4DgJeXl9HyLW3bti12OZewsDCjBaDLGwNAIiIiUoVnYQi4quBC0EREREQmhhlAIiIiUgWh4DIwii0nU0UxACQiIiJVKI8ngVDBOARMREREZGKYASQiIiJV4CSQisMMIBEREZGJYQaQiIiIVEFAglBoAWel6qmqGAASERGRKhig4CQQZaqpshgAVhHdbX+A3sa6spuhCg/v21R2E1TF/EFGZTdBdU6sOlvZTVCVJv2fr+wmqEq7fTGV3QRVSX94r7KbQOWAASARERGpAieBVBwGgERERKQKDAArDmcBExEREZkYZgCJiIhIFQxCgkGhR7gpVU9VxQwgERERkYlhBpCIiIhUgfcAVhwGgERERKQKDAArDoeAiYiIiEwMM4BERESkCkIo9yQQZgCLxgwgERERkYlhBpCIiIhUQQgJQqHlW5Sqp6piAEhERESqwEkgFYdDwEREREQmhhlAIiIiUgWDgpNAlKqnqmIGkIiIiMjEMANIREREqsB7ACsOA0AiIiJSBQaAFYdDwEREREQmhhlAIiIiUgVOAqk4zAASERERmRhmAImIiEgVeA9gxWEASERERKpgMDzalKqLCschYCIiIiITwwwgERERqQKHgCsOA0AiIiJSBQaAFYdDwEREREQmhhlAIiIiUgUDFFwHUJlqqixmAImIiIhMDAPAMhBCYNiwYXB0dIQkSUhISKjsJhERET3zhBCKblQ4DgGXQVxcHFasWIH4+HjUqVMH1atXr+wmERERPfM4CaTiMAAsg+TkZLi5uaFFixZlriMnJwcWFhYKtoqIiIioZDgEXEoDBw7EyJEjkZKSAkmS4OXlhbi4OLRq1QoODg5wcnLCK6+8guTkZPmYy5cvQ5IkrFu3Dm3atIGVlRVWr14NAPjiiy/g6+sLKysr+Pj44N///ndlXRoREVGlEob/PQ3kaTdRjrNAbt68iYiICOj1ejg4OGDw4MHIyMgo8pi2bdtCkiSjbfjw4UZlUlJS0KVLF1hbW6NGjRoYP348Hj58WC7XwAxgKX366aeoW7culi1bhiNHjsDMzAw//vgjoqKi4O/vj4yMDEydOhXdu3dHQkICNJr/xdgTJ07E3Llz0aRJEzkInDp1KhYvXowmTZrgxIkTGDp0KGxsbDBgwIACz5+VlYWsrCz5dXp6erlfMxEREf1PREQErly5gp07dyInJweDBg3CsGHDsGbNmiKPGzp0KGbOnCm/tra2lr/Ozc1Fly5d4Orqip9//hlXrlxB//79YWFhgVmzZil+DQwAS8ne3h52dnYwMzODq6srAKBHjx5GZZYvXw5nZ2ecO3cOjRo1kvePHj0ar776qvx62rRpmDt3rryvdu3aOHfuHD7//PNCA8CYmBjMmDFD6csiIiKqdM/CPYCJiYmIi4vDkSNHEBgYCABYtGgROnfujDlz5sDd3b3QY62treXY4Uk7duzAuXPnsGvXLri4uKBx48aIjo7GhAkTMH36dFhaWip6HRwCVsCFCxfQt29f1KlTB3q9Hl5eXgAepXIfl/dBAYDMzEwkJydj8ODBsLW1lbcPPvjAaPj4SZMmTcKdO3fkLTU1tVyuiYiIqKIZhLJbeTh48CAcHByM/qaHhIRAo9Hg0KFDRR67evVqVK9eHY0aNcKkSZNw7949o3r9/Pzg4uIi7wsNDUV6ejrOnj2r+HUwA6iA8PBweHp6IjY2Fu7u7jAYDGjUqBGys7ONytnY2Mhf590rEBsbi6CgIKNyZmZmhZ5Lq9VCq9Uq2HoiIqKq68lbpZ7272haWhpq1KhhtM/c3ByOjo5IS0sr9LjXX38dnp6ecHd3x6lTpzBhwgQkJSVh48aNcr2PB38A5NdF1VtWDACf0o0bN5CUlITY2Fi0bt0aALB///5ij3NxcYG7uzt+++03RERElHcziYiIVK88hoA9PDyM9k+bNg3Tp0/PV37ixIn4+OOPi6wzMTGxzO0ZNmyY/LWfnx/c3NzQvn17JCcno27dumWut6wYAD6latWqwcnJCcuWLYObmxtSUlIwceLEEh07Y8YMjBo1Cvb29ggLC0NWVhaOHj2KW7duISoqqpxbTkREVPWlpqZCr9fLrwvL/o0dOxYDBw4ssq46derA1dUV165dM9r/8OFD3Lx5s9D7+wqSN/p38eJF1K1bF66urjh8+LBRmatXrwJAqeotKQaAT0mj0WDt2rUYNWoUGjVqBG9vbyxcuBBt27Yt9tghQ4bA2toas2fPxvjx42FjYwM/Pz+MHj263NtNRESkNsIgIBS6eS+vHr1ebxQAFsbZ2RnOzs7FlgsODsbt27dx7NgxNGvWDACwZ88eGAyGfLd0FSXvKWJubm5yvR9++CGuXbsmDzHv3LkTer0eDRs2LHG9JSUJPivlmZaeng57e3v8sXsd9DbWxR9gAh5qbYovZELMHxS9NpUpWvBbp8pugqo06f98ZTdBVdrti6nsJqhKeuY9uIe+gTt37pQokCrTOf75WzZj1S1YWStzjgf30jGtf7VyaXenTp1w9epVLF26VF4GJjAwUF4G5s8//0T79u2xatUqNG/eHMnJyVizZg06d+4MJycnnDp1CmPGjEHNmjWxb98+AI+WgWncuDHc3d3xySefIC0tDW+88QaGDBlSLsvAcBYwERERUSmsXr0aPj4+aN++PTp37oxWrVph2bJl8vs5OTlISkqSZ/laWlpi165d6NixI3x8fDB27Fj06NEDW7ZskY8xMzPDf//7X5iZmSE4OBj9+vVD//79jdYNVBKHgImIiEgVnoV1AAHA0dGxyEWfvby88PgAq4eHh5zpK4qnpye2bdumSBuLwwwgERERkYlhBpCIiIhUwWAQMCg0CUSpeqoqBoBERESkCs/KEHBVwCFgIiIiIhPDDCARERGpAjOAFYcBIBEREamCQQgYFIrclKqnquIQMBEREZGJYQaQiIiIVEEYHm1K1UWFYwaQiIiIyMQwA0hERESqICCMnqDxtHVR4RgAEhERkSoIA2DgEHCF4BAwERERkYlhBpCIiIhUQQgFh4C5DEyRmAEkIiIiMjHMABIREZEqGMSjTam6qHAMAImIiEgVhEFAKBS5KVVPVcUhYCIiIiITwwwgERERqYIQjzal6qLCMQNIREREZGKYASQiIiJVMBgEDArdu6dUPVUVA0AiIiJSBa4DWHE4BExERERkYpgBJCIiIlUQBuWe4ctnAReNGUAiIiIiE8MMIBEREamCQQgYFLp3T6l6qioGgERERKQKnARScRgAVhG3q9VGrq1tZTdDFR5orCu7Caqi196o7CaoTqN6UmU3QVXa7Yup7Caoyt42kyq7CapyT+RWdhOoHDAAJCIiIlXgOoAVhwEgERERqQIfBVdxOAuYiIiIyMQwA0hERESqIISAUGjolpNAisYMIBEREZGJYQaQiIiIVEEouA4gM4BFYwBIREREqiAMCg4BcxZwkTgETERERGRimAEkIiIiVWAGsOIwA0hERERkYpgBJCIiIlUwiEebUnVR4RgAEhERkSpwCLjicAiYiIiIyMQwA0hERESqIIRQbP0+rgNYNGYAiYiIiEwMA0AiIiJSBYMBMBiEQlv5tfPmzZuIiIiAXq+Hg4MDBg8ejIyMjELLX758GZIkFbh9++23crmC3l+7dm25XAOHgImIiEgVnpUh4IiICFy5cgU7d+5ETk4OBg0ahGHDhmHNmjUFlvfw8MCVK1eM9i1btgyzZ89Gp06djPZ/9dVXCAsLk187ODgo3n6AASARERFRiSUmJiIuLg5HjhxBYGAgAGDRokXo3Lkz5syZA3d393zHmJmZwdXV1Wjfpk2b0KtXL9ja2hrtd3BwyFe2PHAImIiIiFQhbxkYpbbycPDgQTg4OMjBHwCEhIRAo9Hg0KFDJarj2LFjSEhIwODBg/O99/bbb6N69epo3rw5li9fXm6ZTGYAiYiIqMpKT083eq3VaqHVastcX1paGmrUqGG0z9zcHI6OjkhLSytRHV9++SV8fX3RokULo/0zZ87Eyy+/DGtra+zYsQMjRoxARkYGRo0aVeb2FoYZQCIiIlKF8sgAenh4wN7eXt5iYmIKPPfEiRMLnaiRt/36669PfY3379/HmjVrCsz+TZkyBS1btkSTJk0wYcIEvPvuu5g9e/ZTn7MgzAASERGRKhggYFBoyNOAR/WkpqZCr9fL+wvL/o0dOxYDBw4sss46derA1dUV165dM9r/8OFD3Lx5s0T37q1fvx737t1D//79iy0bFBSE6OhoZGVlPVXWsiAMAImIiKjK0uv1RgFgYZydneHs7FxsueDgYNy+fRvHjh1Ds2bNAAB79uyBwWBAUFBQscd/+eWX+Ne//lWicyUkJKBatWqKB38AA0AiIiJSiWfhWcC+vr4ICwvD0KFDsXTpUuTk5CAyMhJ9+vSRZwD/+eefaN++PVatWoXmzZvLx168eBE//vgjtm3blq/eLVu24OrVq3jxxRdhZWWFnTt3YtasWRg3bly5XAcDQCIiIlKFZ2UdwNWrVyMyMhLt27eHRqNBjx49sHDhQvn9nJwcJCUl4d69e0bHLV++HDVr1kTHjh3z1WlhYYElS5ZgzJgxEEKgXr16mDdvHoYOHVou18AAkIiIiKgUHB0dC130GQC8vLwKDEBnzZqFWbNmFXhMWFiY0QLQ5Y0BIBEREamC+OcxbkrVRYXjMjCl4OXlhQULFpTrOeLj4yFJEm7fvl2u5yEiIiLTxQxgKRw5cgQ2NjaV3QwiIqIq6VmYBFJVMAAEkJ2dDUtLy2LLlWTKNhEREZXNszIJpCp4ZoeA169fDz8/P+h0Ojg5OSEkJASZmZlo27YtRo8ebVS2W7duRos7enl5ITo6Gv3794der8ewYcPQokULTJgwwei469evw8LCAj/++KN8XN4Q8Ouvv47evXsblc/JyUH16tWxatUqAIDBYEBMTAxq164NnU6HgIAArF+/3uiYbdu2oUGDBtDpdGjXrh0uX7789J1DREREVIRnMgC8cuUK+vbtizfffBOJiYmIj4/Hq6++Wqpof86cOQgICMCJEycwZcoUREREYO3atUZ1rFu3Du7u7mjdunW+4yMiIrBlyxZkZGTI+3744Qfcu3cP3bt3BwDExMRg1apVWLp0Kc6ePYsxY8agX79+2LdvH4BHq5O/+uqrCA8PR0JCAoYMGYKJEycW2e6srCykp6cbbURERFWBMBgU3ahwz+QQ8JUrV/Dw4UO8+uqr8PT0BAD4+fmVqo6XX34ZY8eOlV/36tULo0ePxv79++WAb82aNejbty8kScp3fGhoKGxsbLBp0ya88cYbcvl//etfsLOzQ1ZWFmbNmoVdu3YhODgYwKNHyOzfvx+ff/452rRpg88++wx169bF3LlzAQDe3t44ffo0Pv7440LbHRMTgxkzZpTqWomIiIge90xmAAMCAtC+fXv4+fmhZ8+eiI2Nxa1bt0pVR2BgoNFrZ2dndOzYEatXrwYAXLp0CQcPHkRERESBx5ubm6NXr15y+czMTHz33Xdy+YsXL+LevXvo0KEDbG1t5W3VqlVITk4GACQmJuZ7bExesFiYSZMm4c6dO/KWmppaqusmIiJSK8M/y8AotVHhnskMoJmZGXbu3Imff/4ZO3bswKJFizB58mQcOnQIGo0m31BwTk5OvjoKms0bERGBUaNGYdGiRVizZg38/PyKzCxGRESgTZs2uHbtGnbu3AmdTicv4pg3NLx161Y899xzRsc9zTP9tFptuTwTkIiIqLJxEkjFeSYzgAAgSRJatmyJGTNm4MSJE7C0tMSmTZvg7OyMK1euyOVyc3Nx5syZEtXZtWtXPHjwAHFxcVizZk2h2b88LVq0gIeHB9atW4fVq1ejZ8+esLCwAAA0bNgQWq0WKSkpqFevntHm4eEB4NHzBA8fPmxU5y+//FKabiAiIiIqtWcyA3jo0CHs3r0bHTt2RI0aNXDo0CFcv34dvr6+sLGxQVRUFLZu3Yq6deti3rx5JV5U2cbGBt26dcOUKVOQmJiIvn37FnvM66+/jqVLl+L8+fPYu3evvN/Ozg7jxo3DmDFjYDAY0KpVK9y5cwcHDhyAXq/HgAEDMHz4cMydOxfjx4/HkCFDcOzYMaxYsaKMvUJERPRs4zqAFeeZDAD1ej1+/PFHLFiwAOnp6fD09MTcuXPRqVMn5OTk4OTJk+jfvz/Mzc0xZswYtGvXrsR1R0REoHPnznjppZdQq1atEpX/8MMP4enpiZYtWxq9Fx0dDWdnZ8TExOC3336Dg4MDmjZtivfeew8AUKtWLWzYsAFjxozBokWL0Lx5c8yaNQtvvvlm6TqEiIiIqBQkwUHyZ1p6ejrs7e1x5vhh2NnaVnZzVOGBxrqym6Aq+uwbld0E1Tl4N6Cym6AqHXO+q+wmqMreNpMquwmqck/korchGXfu3IFery+Xc+T9LfvX/yXAQmunSJ05WXfx/eeNy7Xdz7JnMgNIREREVY8BBhiEMuv3GcB1AIvyzE4CISIiIqKyYQaQiIiIVEEYlJu8oVAiscpiBpCIiIjIxDADSERERKrAZWAqDgNAIiIiUgU+CaTicAiYiIiIyMQwA0hERESqYDAYYDAotAyMQvVUVQwAiYiISBV4D2DF4RAwERERkYlhBpCIiIhUQQgDhEIL+ClVT1XFDCARERGRiWEGkIiIiFSB9wBWHAaAREREpA4KBoBgAFgkDgETERERmRhmAImIiEgVDMIAg0KTN5Sqp6piBpCIiIjIxDADSERERKrASSAVhwEgERERqYIQBgiFHuHGdQCLxiFgIiIiIhPDDCARERGpAoeAKw4zgEREREQmhhlAIiIiUgU+C7jiMAAkIiIiVTAYAINCQ7cKzSWpsjgETERERGRimAEkIiIiVRAGBZeBYQqwSMwAEhEREZkYZgCfcUI8ulciIyOjkluiHllSbmU3QVWkHH42nnQvI72ym6Aq6Q/vVXYTVOWe4O+Qx937ZzJF3t+b8sRlYCoOA8Bn3N27dwEAL770ciW3hIiIqrK7d+/C3t6+XM/BWcAVhwHgM87d3R2pqamws7ODJEmV1o709HR4eHggNTUVer2+0tqhJuwTY+wPY+wPY+yP/NTSJ0II3L17F+7u7pXWBrX58MMPsXXrViQkJMDS0hK3b98u9hghBKZNm4bY2Fjcvn0bLVu2xGeffYb69evLZW7evImRI0diy5Yt0Gg06NGjBz799FPY2toqfg0MAJ9xGo0GNWvWrOxmyPR6PX95P4F9Yoz9YYz9YYz9kZ8a+qS8M395npUh4OzsbPTs2RPBwcH48ssvS3TMJ598goULF2LlypWoXbs2pkyZgtDQUJw7dw5WVlYAgIiICFy5cgU7d+5ETk4OBg0ahGHDhmHNmjWKXwMDQCIiIlKFZ2UW8IwZMwAAK1asKFlbhMCCBQvw/vvvo2vXrgCAVatWwcXFBZs3b0afPn2QmJiIuLg4HDlyBIGBgQCARYsWoXPnzpgzZ47iGVjOAiYiIiJVyH2YiYc5ymy5DzMBPBpKf3zLysqq8Ou6dOkS0tLSEBISIu+zt7dHUFAQDh48CAA4ePAgHBwc5OAPAEJCQqDRaHDo0CHF28QMIClCq9Vi2rRp0Gq1ld0U1WCfGGN/GGN/GGN/5GdKfWJpaQlXV1cc3d1L0XptbW3h4eFhtG/atGmYPn26oucpTlpaGgDAxcXFaL+Li4v8XlpaGmrUqGH0vrm5ORwdHeUySmIASIrQarUV/gOlduwTY+wPY+wPY+yP/EypT6ysrHDp0iVkZ2crWq8QIt8EycIC6okTJ+Ljjz8usr7ExET4+Pgo1r7KxACQiIiIKp2VlZU8GaIyjB07FgMHDiyyTJ06dcpUt6urKwDg6tWrcHNzk/dfvXoVjRs3lstcu3bN6LiHDx/i5s2b8vFKYgBIREREJs/Z2RnOzs7lUnft2rXh6uqK3bt3ywFfeno6Dh06hLfeegsAEBwcjNu3b+PYsWNo1qwZAGDPnj0wGAwICgpSvE2cBEKqNHDgQHTr1k1+3bZtW4wePbrIY7y8vLBgwQL5tSRJ2Lx5c7m0j8pPfHw8JEkqcl2t6dOny79Egfyfl4KU5DNUni5fvgxJkpCQkPDUdZXketVACIFhw4bB0dFRsWs3RU/+bisPJfm5o/9JSUlBQkICUlJSkJubi4SEBCQkJBg9lcvHxwebNm0C8Ojv0ejRo/HBBx/g+++/x+nTp9G/f3+4u7vLP8u+vr4ICwvD0KFDcfjwYRw4cACRkZHo06dPuazByAwgqdKnn3761I8dunLlCqpVq6ZQi0zb9OnTsXnzZtX8AR83bhxGjhxZbLm2bduicePG5f7HkwoWFxeHFStWID4+HnXq1EH16tUru0nPpCNHjsDGxqaym0GPmTp1KlauXCm/btKkCQBg7969aNu2LQAgKSkJd+7ckcu8++67yMzMxLBhw3D79m20atUKcXFxRsPeq1evRmRkJNq3by8vBL1w4cJyuQYGgKRKSiw6Wh73TDxLhBDIzc2FuXnV+zG3tbVVZGX8x/soOzsblpaWCrSO8iQnJ8PNzQ0tWrQocx05OTmwsLBQsFXqUdLPXHkNS1LZrVixotg1AJ9MYkiShJkzZ2LmzJmFHuPo6Fguiz4XhEPAVKS4uDi0atUKDg4OcHJywiuvvILk5GT5/Z9//hmNGzeGlZUVAgMDsXnz5nxDPWfOnEGnTp1ga2sLFxcXvPHGG/j7778BAOvXr4efnx90Oh2cnJwQEhKCzMzMAoe4Hj58iMjISNjb26N69eqYMmVKkVnCx4eA84bfNm7ciHbt2sHa2hoBAQHy+kt5YmNj4eHhAWtra3Tv3h3z5s2Dg4OD/P7JkyfRrl072NnZQa/Xo1mzZjh69Gix/fj7778jPDwc1apVg42NDZ5//nls27YNwP+GXvz8/ODk5AQzMzOYm5ujWrVqRtc4atQo6HQ6SJIEMzMzNG3a1OiGYUmSIEkStm/fjmbNmkGr1cLBwQHLly9HTEwMvLy8YG5uDgsLC1hYWMDT0xMxMTHy+b/77js4OzvL9b/44os4efIkVqxYgRkzZuDkyZPyOXQ6HZo2bYphw4ahVq1a0Gq1cHd3x6hRo4rtCwDIysrChAkT4OHhAa1Wi3r16uVbTf/YsWMIDAyEtbU1WrRogaSkJPm9J4eAn5SZmYm6deti3759+PTTTyFJEvbt24dz587JfaTVamFhYYHOnTvD1tYW9erVg4uLC6ytrWFnZwdLS0t4eHhg1KhRGD9+vHwPjpeXF2bNmoU333wTZmZmsLe3x7JlywAAX3zxBXx9fWFlZQUfHx/8+9//LlF/FOTs2bN45ZVXoNfrYWdnh9atWxv97D2uuJ/T7OxsREZGws3NDVZWVvL3Hnj0R2r69Oll+j4WZeDAgRg5ciRSUlIgSRK8vLyKbWfez+m6devQpk0bWFlZYfXq1QCU7dunUdjvrIJuMejWrZvRpAIvLy9ER0ejf//+0Ov1GDZsGFq0aIEJEyYYHXf9+nVYWFjgxx9/lI/Ly2K//vrr6N27t1H5nJwcVK9eHatWrQIAGAwGxMTEoHbt2tDpdAgICMD69euNjtm2bRsaNGgAnU6Hdu3a4fLly0/fOfRsEURFWL9+vdiwYYO4cOGCOHHihAgPDxd+fn4iNzdX3LlzRzg6Oop+/fqJs2fPim3btokGDRoIAOLEiRNCCCFu3bolnJ2dxaRJk0RiYqI4fvy46NChg2jXrp3466+/hLm5uZg3b564dOmSOHXqlFiyZIm4e/euGDBggOjatavcjjZt2ghbW1vxzjvviF9//VV8/fXXwtraWixbtkwu4+npKebPny+/BiA2bdokhBDi0qVLAoDw8fER//3vf0VSUpJ47bXXhKenp8jJyRFCCLF//36h0WjE7NmzRVJSkliyZIlwdHQU9vb2cp3PP/+86Nevn0hMTBTnz58X33zzjUhISCi2H7t06SI6dOggTp06JZKTk8WWLVvEvn37hBBC7N27VwAQ1tbWQqfTiYiICNG2bVtRvXp1+RqPHj0qJEkS/fr1E7t27RLvv/++0Gg0ws/Pz+h6AQh/f3+xY8cOcfHiRWFnZydeffVV4ePjI4YMGSLc3NzEpEmThKWlpVi4cKFYs2aNfH69Xi+Cg4PFunXrRGBgoHB3dxdOTk7ijz/+EGPHjhVarVb06NFD/Pjjj+LUqVMiKipK2Nraim3btonff/9dHDp0yOj7UZRevXoJDw8PsXHjRpGcnCx27dol1q5da9QfQUFBIj4+Xpw9e1a0bt1atGjRQj5+2rRpIiAgQH795OflrbfeEjVr1hQNGzYUPXr0ECEhIcLGxkZ0795d7qMaNWoIW1tbMXPmTLFlyxYRHR0ttm3bJnQ6nejQoYPQarViw4YNokmTJqJr164CgLh48aLw9PQUjo6OYvLkyQKAGDt2rPy5cXNzExs2bBC//fab2LBhg3B0dBQrVqww+gzm/WwU5Y8//hCOjo7i1VdfFUeOHBFJSUli+fLl4tdffy3weov6ORVCiNmzZwsPDw/x448/isuXL4uffvpJrFmzRgghxLfffiv0en2Zvo9FuX37tpg5c6aoWbOmuHLlirh27Vqx7czrIy8vL7kf//rrL/H1118X2bcVpajfWW3atBHvvPOOUfmuXbuKAQMGyK89PT2FXq8Xc+bMERcvXhQXL14UixcvFrVq1RIGg0Eut2jRIqN9j/9u++9//yt0Op24e/euXH7Lli1Cp9OJ9PR0IYQQH3zwgfDx8RFxcXEiOTlZfPXVV0Kr1Yr4+HghhBApKSlCq9WKqKgo+fepi4uLACBu3bqlfMeRKjEApFK5fv26ACBOnz4tPvvsM+Hk5CTu378vvx8bG2v0Ry46Olp07NjRqI7U1FQBQGzcuFEAEJcvX853noICQF9fX6NfkhMmTBC+vr7y65IEgF988YX8/tmzZwUAkZiYKIQQonfv3qJLly5G7YiIiDAKAO3s7Mr0R8fPz09Mnz69wPfyAh5fX1/5Gm/cuCF0Op3o2rWr8PX1Fa+//rro0KGD0XFvvPGGACD/IcgLADdv3iyX0ev1wtLSUvz8889i5MiR4uWXXxYGg0EMHjxY9O3b1+j81tbW4sGDB0IIIbZu3SoAiNq1a4vPP/9cTJs2TWg0GqNrnzt3rmjQoIHIzs4uVV8kJSUJAGLnzp1F9seuXbvkfXntyfusFRUA3r17V1haWopvvvlG/qOc1589evSQ+8jT01N069bN6NyDBw8Ww4YNE0I8CvYXLVokfvrpJ6HRaIS/v7+YOXOm8PT0FP369ROTJk0SQUFBwmAwiBo1aghnZ2c5qMoTHR0tgoODhRClCwAnTZokateuXWjfPvnz8aTHf06FEEbf+yeV9ftYEvPnzxeenp4lbmdeHy1YsMCoXN26dYvs24py7NixQn9nlTQAfPIzd+3aNWFubi5+/PFHeV9wcLCYMGGC0XF5v9tycnJE9erVxapVq+T3+/btK3r37i2EEOLBgwfC2tpa/Pzzz0bnefxnftKkSaJhw4ZG70+YMIEBoInhEDAV6cKFC+jbty/q1KkDvV4PLy8vAI9mQCUlJcHf39/oBtbmzZsbHX/y5Ens3btXvmfL1tZWXkTTwsIC7du3h5+fH3r27InY2FjcunWr0La8+OKLRgt6BgcH48KFC8jNzS3x9fj7+8tf563FlDeMmpSUlK/9T76OiorCkCFDEBISgo8++qjQIbknjRo1Ch988AFatmyJadOm4dSpU/nK2Nvby9fo6OgIb29v6HQ6XLhwAefOnUPt2rURHh6OWrVqwc7ODt988w2AR48YetzjjxEyGAzIzs5Ghw4d8MUXX2DPnj0wMzPDV199hePHjxsdd//+fTg5OcHW1hY9evQA8GhILu8anZ2dja79hRdewP3791GnTh0MHToUmzZtwsOHD4vti4SEBJiZmaFNmzZFlivqe1WU5ORkZGdnGy2bkNefefL6KO/fjIwMjBs3DqtXr8ayZcsgSRLOnj2LqKgohIaGwmAwoEOHDvK9OX5+fvjPf/6DiIgISJKEGjVq4Pr16xg8eLDRZ/2DDz4o8WfkcQkJCWjdunWJ730r6ucUeDQcm5CQAG9vb4waNQo7duyQj+3Zs2eZvo9lUVw78zz+Gc7MzERycrJiffs0AgICSvU7qyCPXxvw6OeqY8eO8lD3pUuXcPDgQURERBR4vLm5OXr16iWXz8zMxHfffSeXv3jxIu7du4cOHToY9deqVavk/kpMTMy3rEhwcHCproOefQwAqUjh4eG4efMmYmNjcejQIfl5hCVdrT0jIwPh4eHyFPm87cKFC2jXrh127tyJ7du3o2HDhli0aBG8vb3zBTRKevwPal4waSjFA8OnT5+Os2fPokuXLtizZw8aNmwoT/MvypAhQ/Dbb7/hjTfewOnTpxEYGIhFixaV+LwGgwH/7//9P+j1eqxevRpHjhzBxIkTAeT/Xjw+WzAnJwcAsHXrVpw6dQrHjx/H/Pnz0aNHD/z111947bXX5LKurq7y92fdunUAHq1BNX78ePn9x689JCQEn3zyCf79739Dp9NhxIgReOmll+RzFkan05Xomp/2e1WUvD7K+3fcuHHYtGkTnJyc0LdvX+zatQs+Pj54/fXXcfLkSVy4cAEjRoxAUlISsrKy8McffyA1NVW+FyuvXbGxsUaf8zNnzuCXX34pdftK2kd5ivs5bdq0KS5duoTo6Gjcv38fvXr1kr/3Hh4eSEpKKvX3sSxK+vvk8c9w3rIaSvXt0zAzMyv0d5ZGo8l3T3JBfVjQbN6IiAisX78eOTk5WLNmDfz8/ODn51doOyIiIrB7925cu3YNmzdvhk6nQ1hYGID/9dfWrVuN+uvcuXP57gMk08YAkAp148YNJCUl4f3330f79u3h6+tr9L9db29vnD592ujB2keOHDGqo2nTpjh79iy8vLxQr149o83GxgaSJKFly5aYMWMGTpw4AUtLy0IDqicfhv3LL7+gfv36MDMzU+R6vb2987X/ydcA0KBBA4wZMwY7duzAq6++iq+++qpE9Xt4eGD48OHYuHEjxo4di9jYWKP38xYFBYBbt27h/PnzuH//PurXrw93d3fcv38fH330EVq3bg0fHx+5bXnX//hkFeBRtiUrKwvm5uZISUlBvXr10KRJE7zzzjv45ptv8O2332LDhg1IT08H8GhFenNzc9SrVw+1atUC8Ojm8+rVq8PS0hK5ubn5rn3NmjUIDw/HwoULER8fj4MHD+L06dNF9oOfnx8MBgP27dtXon4rrbp168LCwgKHDh2S253Xn4U5cOAABg4ciDZt2uDatWsICgrClStX4ODgIH9e69SpgzZt2iAzMxPHjx9Hhw4d5Od2WlhYwM7ODr/99lu+z3nt2rVLfQ3+/v746aefShSEFfdzmkev16N3796IjY3FunXrsGHDBty8eRPAo4CztN/H0ippO5/k4uICd3d3xfr2aRX2O8vZ2RlXrlyRy+Xm5uLMmTMlqrNr16548OAB4uLisGbNmkKzf3latGgBDw8PrFu3DqtXr0bPnj3l/zA1bNgQWq1W/pl/fMt7Jq6vry8OHz5sVGdFB9NU+are+hCkmGrVqsHJyQnLli2Dm5sbUlJS5KwT8Gg22uTJkzFs2DBMnDgRKSkpmDNnDoD/ZWzefvttxMbGom/fvnj33Xfh6OiIixcvYu3atRg6dCji4+PRsWNH1KhRA4cOHcL169fh6+tb4BBpSkoKoqKi8H//9384fvw4Fi1ahLlz5yp2vSNHjsRLL72EefPmITw8HHv27MH27dvla7l//z7Gjx+P1157DbVr18Yff/yBI0eOyMOlRRk9ejQ6deqEBg0a4NatW9i7dy98fX2Nyly+fBlCCPTv3x9//vkndDoddu3ahblz56JevXqIi4tD3759MWPGDGzZsgXbt283Or5JkybYu3cvTp06BWtra0yYMAEWFhYIDQ3FmDFjsG3bNgQFBcHDwwMJCQn48ccf4erqKi+n0rx5c3Tr1g2ffPKJPAQ4e/ZsDBo0CO7u7vj111/xxRdfoFmzZrh9+zZ2796NZs2a4cyZM7C2tsbXX38NnU4HT0/PIvvCy8sLAwYMwJtvvomFCxciICAAv//+O65du4ZevZ7+QfC2trYYPHgwxo8fj0aNGiE+Ph69evWCJEmFzhqvX78+Nm7ciEmTJqF///7w8/PDw4cPcfv2bXz33XfYuXMnFi9ejIiICPz0009ISEjA0qVLjepo27YtYmJiYG9vj7CwMGRlZeHo0aO4desWoqKiSnUNkZGRWLRoEfr06YNJkybB3t4ev/zyC5o3b240lA0U/3MKAPPmzYObmxuaNGkCjUaDb7/9Fq6urnBwcMCKFSuQm5uLoKCgUn0fS6sk7SzMjBkzMGrUKEX69mkcOnQIu3fvLvB3lo2NDaKiorB161bUrVsX8+bNK/GiyjY2NujWrRumTJmCxMRE9O3bt9hjXn/9dSxduhTnz5/H3r175f12dnYYN24cxowZA4PBgFatWuHOnTs4cOAA9Ho9BgwYgOHDh2Pu3LkYP348hgwZgmPHjhW7pAlVQZV8DyKp3M6dO4Wvr6/QarXC399fxMfHG02uOHDggPD39xeWlpaiWbNmYs2aNQKAPFtRCCHOnz8vunfvLhwcHIROpxM+Pj5i9OjR4uzZsyI0NFQ4OzsLrVYrGjRoIBYtWiSEKHgSyIgRI8Tw4cOFXq8X1apVE++9957RTe0lmQTy+A34t27dEgDE3r175X3Lli0Tzz33nNDpdKJbt27igw8+EK6urkIIIbKyskSfPn2Eh4eHsLS0FO7u7iIyMtJoEkxhIiMjRd26dYVWqxXOzs7ijTfeEH///bcQ4n+THho1aiSqVasmNBqNMDMzE3q93ugaR48eLSwsLAQAYWlpKQYNGmR0Td9++608maN+/fpi27Ztwt7eXixfvlwsWLBAuLi4CEmSBABhZmYmmjZtKo4fPy6fPyUlRYwcOVK4u7sLc3NzAUB07dpVpKSkiPT0dFGzZk35eAcHB9G5c2fxwgsvCL1eL2xsbMSLL75oNHGjKPfv3xdjxowRbm5uwtLSUtSrV08sX77cqD8evxn9xIkTAoC4dOmSEKL4WcB3794V/fr1E1ZWVsLCwkLutw4dOsh1P/55uXTpkmjXrp3Q6XTCxcVF+Pj4CI1GI8zNzYW/v7/48MMPjT4zlpaWRrMwAwICxLRp08Tq1atF48aNhaWlpahWrZp46aWXxMaNG+VzPPkZLMrJkydFx44dhbW1tbCzsxOtW7cWycnJBV5vcT+ny5YtE40bNxY2NjZCr9eL9u3bi+PHjwshhNi0aZMICgoq0/exOE9OAimunUX1UVF9W1HOnTtX6O+s7Oxs8dZbbwlHR0dRo0YNERMTU+AkkMd/Rz1u27ZtAoB46aWX8r1X0HHnzp0TAISnp2e+yT0Gg0EsWLBAeHt7CwsLC+Hs7CxCQ0PllQeEeDRzuF69ekKr1YrWrVuL5cuXcxKIiZGEeMrHLRA9ZvXq1Rg0aBDu3LlT6vuY1Gjo0KH49ddf8dNPP5XbOeLj49GuXTu0bNkSgYGBfGoFERGVOw4B01NZtWoV6tSpg+eeew4nT57EhAkT0KtXr2c2+JszZw46dOgAGxsbbN++HStXrqy0BWeJiIjKCyeB0FNJS0tDv3794OvrizFjxqBnz57yUxGeRYcPH0aHDh3g5+eHpUuXYuHChRgyZEixx+U96aSgbdasWRXQcvX46aefCu0LJR7fVhUMHz680P4ZPnx4ZTePiEwAh4CJFPDnn3/i/v37Bb7n6OgIR0fHCm5R5bl//z7+/PPPQt+vV69eBbZGna5duybPvn6SXq+XZxcTEZUXBoBEREREJoZDwEREREQmhgEgERERkYlhAEhERERkYhgAEhEREZkYBoBEREREJoYBIBEREZGJYQBIREREZGIYABIRERGZGAaARERERCaGASARERGRiWEASERERGRiGAASERERmRgGgEREREQmhgEgERERkYlhAEhERERkYhgAEhEREZkYBoBEREREJoYBIBEREZGJYQBIREREZGL+P8ZsDHiaCvduAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<safeds.data.image.containers._image.Image at 0x215e6f5fbc0>"
+      ]
      },
      "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 4
+   "source": [
+    "titanic_numerical.plot.correlation_heatmap()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false
+   },
    "source": [
     "Let's look at the correlations involving the `travel_class` column:\n",
     "\n",
@@ -142,58 +181,60 @@
     "* `travel_class` is, unsurprisingly, positively correlated with itself. You'll always find that the diagonal of a correlation heatmap is bright red.\n",
     "* `travel_class` is negatively correlated with `fare`. Naturally, better travel classes were more expensive.\n",
     "* `travel_class` is negatively correlated with `survived`. People in better travel classes were more likely to survive the accident."
-   ],
-   "metadata": {
-    "collapsed": false
-   }
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false
+   },
    "source": [
     "## Lineplot\n",
     "\n",
     "Next, we use a lineplot to better understand the relationship between `survived` and `fare`. The line itself represents the mean value and the hued area around it a 95% confidence interval around the mean."
-   ],
-   "metadata": {
-    "collapsed": false
-   }
+   ]
   },
   {
    "cell_type": "code",
-   "source": [
-    "titanic_numerical.plot.line_plot(\"survived\", [\"fare\"])"
-   ],
+   "execution_count": 5,
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2024-06-20T18:48:42.586133100Z",
      "start_time": "2024-06-20T18:48:42.497644100Z"
-    }
+    },
+    "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "<safeds.data.image.containers._image.Image at 0x2bdff5e8f10>",
-      "image/png": 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sAl5N+dZWadjm4bdX8s9PNwHQMjvInef35qRuzUn3aSVarCgAioiI7CdaubefrZZvnX2wagcTX13K1uJyAEb2bcfYoT3ISfcTtt0YV5faFABFRET4tuVbGnUwBgJq+dZacSjCg2+s4NWFmwFo1zSduy8o4MSueTGuTKooAIqISMpzjaE0alNuu/g8Fj6vWpO19daSrdz72jJ2lUawLLj8xI7cOLgbGQFFjniifw0REUlpVS3fqFq+dfLN3jD3zlrKO0u3A9ClRSaTRhRyTH6T2BYmB6UAKCIiKam65RtxMBaa8q0lYwwzFm7mD28sp6TMxuexuPqUzvzq1K4ENOQRtxQARUQk5TiuIWTv1/L1KKjUxuY9ZUx6dQkfrt4JQK82Ofz+wgJ6tM6JcWXyQxQARUQkpUQcl1DUJuoYtXxryXUNL83fyJS3V1EWcQj4PPz69K787KROWj+ZIBQARUQkJRhjKLcdQlEHLEst31pa900pd08v4vONewA4vkMT7h5RSOfmmbEtTI6IAqCIiCQ9tXzrznZcnv9oPY+9t4aI7ZIR8DL6zKP48Y/y8XgUpBONAqCIiCS16pavawh41fKtjRVbS7hr2hKWbSkB4ORueYy/oIC2TdJjXJnUlgKgiIgkJWMMZZUtX8uyCHrV8j1SEdvliTlrePaDddiuISfdx+/O6skFx7bVsUxwCoAiIpJ0HNcQitqEHRevx4NPLcojtnDjHibMKGLtjlIAhvRuyR3n9qZ5djDGlUl9UAAUEZGkEnFcSqM2tlq+tRKK2Dz6zipe/GQjxkBeVoA7zu3FmQWtY12a1CMFQBERSQrGGMqiDiFbLd/a+njNTu5+dQlf7y4D4IJj2/K7s3qQmxGIcWVS3xQARUQk4e3f8vV5PHjV8j0iJWVRHnprBf+34GsA2uSmMf6C3gzs3iLGlUlDUQAUEZGEFnFcSiM2jjH41fI9Yu8t3849M5eyfW8YgJ+ckM/oM48iM6iIkMz0rysiIgnpuy3fgFq+R2RXaYTJs5bxRtFWADrmZTBxeCF9OzWNcWXSGBQARUQk4diuoUwt31oxxvCfxVu4/z/L2ROK4rHgZyd34tendyPN7411edJIFABFRCShhB2XkFq+tbK1uJx7Zi7l/ZU7ADiqVRaTRhRS0C43xpVJY1MAFBGRhOAaQ/n+U74+na06XMYYXl7wFQ+9uZJ9YRu/1+JXp3bl6oGd8ft0WbxUpAAoIiJxz3YNoYhN2HXxq+V7RDbtCnH3jCV8um4XAH3a5zJpRCFdW2bFuDKJJQVAERGJW8YYIk7FFi+OMdrb7wg4ruHv8zbwl9mrKI+6pPk93Di4O5ef2FEBWhQARUQkPrmVU75ltoNHLd8jsnr7PsZPK2Lx18UA9O/cjAnDC8hvlhHjyiReKACKiEjcsV2XUMQh7Lj4vWr5Hq6o7fLMf9fy1Ny12I4hK+jjf4Ydxci+7XXmVGqIu5Wfd999N5Zl1Xjr2bNn9f3l5eXccMMN5OXlkZWVxciRI9m2bVsMKxYRkfpijCFsO5SEbSKuS9Cn8He4lnxdzI+fnMdj763Bdgyn9WjB9BtP5uJ++Qp/coC4PANYUFDAO++8U/2+z/dtmWPGjGHWrFn8+9//Jjc3l9/85jdcdNFFfPjhh7EoVURE6olavrVTHnV4bPZqnv9oPa6Bphl+xp3bi7MKWyv4ySHFZQD0+Xy0bt36gNuLi4v53//9X6ZOncoZZ5wBwLPPPkuvXr34+OOPOfHEExu7VBERqQe261IacYio5XtEPlu/i7tnLGHDzhAAZx/dmtvO6UWzzECMK5N4F3ctYIBVq1bRtm1bunTpwuWXX87GjRsBWLBgAdFolCFDhlQ/tmfPnnTo0IF58+bFqlwREaklYwzllS3fqFq+h21fuc09ry3l5/9vPht2hmiZHeTRUcfx4CXHKPzJYYm7M4D9+/fnueeeo0ePHmzZsoWJEydyyimnUFRUxNatWwkEAjRp0qTGx7Rq1YqtW7ce8jnD4TDhcLj6/ZKSkoYqX0REDpNavrXz35U7mDRzKVuLywEY2bc9Y4ceRU66P8aVSSKJuwB49tlnV/9/nz596N+/Px07duRf//oX6enptXrOyZMnM3HixPoqUURE6ihaOeUbcVwCPl3O7XDsCUV48PUVzPxyMwDtmqYzcXgB/bvkxbgySURx2QLeX5MmTTjqqKNYvXo1rVu3JhKJsGfPnhqP2bZt20HXDFYZN24cxcXF1W+bNm1q4KpFRORgqlq+e8M2dmXLV+Hvh721ZCvDH/2QmV9uxrLgpwM68soNJyn8Sa3F3RnA79q3bx9r1qzhpz/9KX379sXv9/Puu+8ycuRIAFasWMHGjRsZMGDAIZ8jGAwSDAYbq2QRETmIGi1fj0XAq5bvD9mxN8x9s5byztLtAHRtkcnEEYUck98ktoVJwou7AHjzzTdz/vnn07FjRzZv3syECRPwer1cdtll5Obmcs011zB27FiaNWtGTk4ON954IwMGDNAEsIhIHIs6LqGoQ9Rx8eus3w8yxjBj4WYefH05e8ttfB6La07pzC9P7UrAF/fNO0kAcRcAv/rqKy677DJ27txJixYtGDhwIB9//DEtWrQA4OGHH8bj8TBy5EjC4TDDhg3jsccei3HVIiJyMMYYwo5LadTBGAj4dC3fH/L17jImvbqEj9bsBKB32xwmjSigR+ucGFcmycQyxphYF9HYSkpKyM3Npbi4mJwcfUOJiDQE1xhKozbltovPY+Hz6MzV93Fdw0vzNzLl7VWURRwCPg83nN6NK0/qiM+bfMcubLuk+zxkBuLuXFRCqGuW0VEXEZF6F6086xfVlO9hWfdNKROmF/HFxj0AHN+hCRNHFNKpeWZsC5OkpQAoIiL1prrlG3EwFgTV8v1etuPy3IfreXzOGiK2S0bAy5ihR3Fpv3w82hBbGpACoIiI1AvHNYRstXwP1/ItJYyfvoRlWyouTnBytzzGX1BA2ya12/NW5EgoAIqISJ1VtHxtoo5Ry/cHRGyXJ+as4dkP1mG7hpx0H7ee3ZPzj2mrs6XSaBQARUSk1qo2dg5FXVDL9wct3LiHCTOKWLujFIAze7fi9nN70Txbe9VK41IAFBGRWlHL9/CFIjaPvrOKFz/ZiDGQlxXgjnN7cWbBoa9iJdKQFABFROSIRRyXUNQm6hoCXrV8v8+8NTuZOGMJX+8pA+CCY9vyu7N6kJsRiHFlksoUAEVE5LAZYyizHcqiDlgWQa9avodSUhblT2+u4JXPvwagTW4aEy4o4OTuzWNcmYgCoIiIHKaaLV8PPm1TckjvLd/OPTOXsn1vGICfnJDP6DOPIjOoX7sSH/RKFBGRH6SW7+HZVRph8qxlvFG0FYCOeRlMHF5I305NY1yZSE0KgCIickjGGMqiDiHbwVLL95CMMfxn8Rbu/89y9oSieD0WPzupE9ef3pU0vzfW5YkcQAFQREQOynENoahN2Klo+XrV8j2orcXl/H7mUuau3AHAUa2ymHRhIQVtc2NcmcihKQCKiMgBIpUbOzuuwa+W70G5ruH/Pv+Kh95cyb6wjd9r8atTu3L1wM74fdoSR+KbAqCIiFT7bss3oJbvQW3aFWLC9CLmr98NQJ/2uUwaUUjXllkxrkzk8CgAiogIALZrKFPL93s5ruHv8zbwl9mrKI+6pPu93Di4G6NO7KjjJQlFAVBERAg7LqGIjWPU8j2U1dv3MX5aEYu/Lgagf+dmTBheQH6zjBhXJnLkFABFRFKYawzl+0/5+jSx+l1R2+WZ/67lqblrsR1DVtDHzWf14KLj26k9LglLAVBEJEXZriEUsQm7Ln61fA+q6Otixk8vYtW2fQCc1qMFd57fm1Y5aTGuTKRuFABFRFKMMYaIU7HFi2OM9vY7iPKow2OzV/P8R+txDTTN8DPu3F6cVdhax0qSggKgiEgKcSunfMtsB49avgf12fpdTJi+hI27QgCc06cNt57dk2aZgRhXJlJ/FABFRFKE7bqEIo5avoewr9xmytsr+ef8TQC0zAly13m9Oa1nyxhXJlL/FABFRJJcRcvXpTTq4Krle1D/XbmDSTOXsrW4HICRfdvzP8OOIjvNH+PKRBqGAqCISBJTy/f77QlFePD1Fcz8cjMA7Zumc/fwAvp3yYtxZSINSwFQRCRJVbd8HRe/Vy3f/RljeGvJNu6btYxdpREsC644sSO/GdyNjIB+NUry06tcRCTJHNDy9anlu78de8Pc+9pS3l22HYCuLTKZOKKQY/KbxLYwkUakACgikkTU8j00YwzTv9jMH95Yzt5yG5/H4ppTOvPLU7sS8HliXZ5Io1IAFBFJEtHKlm9ELd8DfL27jEmvLuGjNTsB6N02h0kjCunROjvGlaUmxzUYY9ArNHYUAEVEEpwxpuJavlEHo5ZvDa5reGn+Rqa8vYqyiEPQ5+HXp3fjypM64vPqrF9jc40h6rhYlkWG30uaX2eoY0UBUEQkgdVo+XosAl79Qq2y7ptSJkwv4ouNewA4vmNTJg4voFPzzNgWloJcY4i6Bir/QEn3efF5FMBjSQFQRCRBVbV8o46L3+fBo7N+AEQdl+c/XM/jc9YQsV0yAl7GDD2KS/vl41FbvFGZyuDnGkPQ4yEt4MPvsXSGOg4oAIqIJJj9W76ugYBavtWWbylh/PQilm3ZC8DJ3fIYf0EBbZukx7iy1GO7LrZr8Hsssvw+AtqAPK4oAIqIJJCqlm/IdvB6LIJaxwZAOOrw5PtrefaDddiuISfdx61n9+T8Y9oqdDQyx61Y5+f1WGT5vQR9Xp2djkMKgCIiCSJaubef7bgE1PKttnDjHsZPL2LdN6UAnFnQitvP7UXzrGCMK0st1QMeVA54+LyaRI9jCoAiInGuquVbGnUwavlWC0VsHn1nFS9+shFjIC8rwJ3n9WZI71axLi2lGGOI7Dfgkebz4teAR9xTABQRiWOOawjZNuW2i89jaeuSSvPW7GTijCV8vacMgOHHteWWYT3IzQjEuLLUYYzBdg2OBjwSkgKgiEicqmj52kQdo5ZvpZKyKH98cwXTPv8agDa5aUy4oICTuzePcWWpxXZdbMfg91pkasAjIcX1n5L3338/lmUxevTo6ttOO+00LMuq8XbdddfFrkgRkXpmjKEsalMStrENBBX+AJi9bDsj/vJhdfj7yQn5TPvNyQp/jchxDeV2xVKEzICXnKCfoM+r8JeA4vYM4Pz583nyySfp06fPAfdde+21TJo0qfr9jIyMxixNRKTBHNDy1Voqdu4Lc/9/lvNG0VYAOuVlcPfwQvp2ahrjylLHtwMekOHTgEcyiMsAuG/fPi6//HKefvpp7rnnngPuz8jIoHXr1jGoTESk4UQcl5BavtWMMcxatIUHXl/OnlAUr8fiqpM7cd1pXXUJsUZStZGz0YBH0onLf8UbbriBc889lyFDhhz0/hdffJHmzZtTWFjIuHHjCIVC3/t84XCYkpKSGm8iIvGiquW7NxzFUcsXgK3F5fzmxS8Y93+L2ROK0qN1Ni/+sj+jzzxK4a8RmMozfmHHxWdZ5AT9ZPl9Cn9JJO7OAL700kt8/vnnzJ8//6D3jxo1io4dO9K2bVsWLVrErbfeyooVK3jllVcO+ZyTJ09m4sSJDVWyiEit1Wz5evCleFvNdQ0vL/iKh95aQWnYwe+1+NWpXbn6lM74NQHdKKoGPHxei2y/j6AGPJKSZYwxsS6iyqZNm+jXrx9vv/129dq/0047jWOPPZYpU6Yc9GNmz57N4MGDWb16NV27dj3oY8LhMOFwuPr9kpIS8vPzKS4uJicnp96/DhGRw1Hd8nUNAa/O+m3cWcrdM5Ywf/1uAPq0z2XSiEK6tsyKcWWpwXENUdfFa1mkeT2k+XUFj3hWUlJCbm5urbNMXJ0BXLBgAdu3b+f444+vvs1xHObOnctf/vIXwuEwXm/NU//9+/cH+N4AGAwGCQa1I7yIxAdjDGW2QyjqYFlWyp9hcVzD3+dt4C+zV1EedUn3e7lxcDdGndhRgwaNwDUG23ExVAx4BH3elD8TnQriKgAOHjyYxYsX17jt5z//OT179uTWW289IPwBLFy4EIA2bdo0RokiInXiuIZQ1K5YW+XxpHzAWbVtLxOmL2Hx18UA9O/SjAkXFJDfTLs7NLQaAx7eygEPtdlTRlwFwOzsbAoLC2vclpmZSV5eHoWFhaxZs4apU6dyzjnnkJeXx6JFixgzZgyDBg066HYxIiLxJFK5sbPjGvwp3vKN2i7P/HctT81di+0YsoI+bj6rBxcd3y6lz4Y2hqoreLjG4PN4yNAVPFJSXAXAHxIIBHjnnXeYMmUKpaWl5OfnM3LkSO68885YlyYickgVU74OIbui5ZvqV00o+rqY8dOLWLVtHwCn9WzBnef1plVOWowrS362W9Hu9XkssgI+rT1NYXE1BNJY6rpwUkTkcKnl+62yiMPj763m+Y/W4xpomuFn3Lm9OKuwdUoH4sbguAbbdfFUDngEtZFzwkuqIRARkWQScVxKIzaOUct3/rpd3D1jCRt3Vezbek6fNtx6dk+aZQZiXFlyq7iChwEM6RrwkP0oAIqI1DPXGMr3a/kGfam7cfG+cpuH317Jv+ZvAqBlTpC7zuvNaT1bxriy5HbggIdPAx5SgwKgiEg9st2Kq3qUOy7+FG/5/nflDibNXMrW4nIALu7XnrFDjyI7zR/jypLXdwc80gM+AhrwkINQABQRqSdhxyVU2fJN5b399oQiPPj6CmZ+uRmA9k3TmTi8gBO65MW4suTmVA54eDXgIYdBAVBEpI7cyinfMtvBk8ItX2MMby3Zxn2zlrGrNILHgisGdOQ3Z3QnPZCax6QxuJXX7bUsiwy/VwMeclgUAEVE6sB2XUIRh7Cb2i3fHXvD3PvaUt5dth2Ari0ymTSikD75TWJbWBLbf8Aj6POQ7vPi82idnxweBUARkVowxhBxKrZ4SeWWrzGG6V9s5g9vLGdvuY3PY3HNKZ355aldCfgURhpC1YCHawxBj4c0vzZyliOnACgicoTU8q3w9e4yJr66hHlrdgLQu20Ok0YU0qN1dowrS15R1624kozHIsvvJ+BV8JPaUQAUETkC1S1fx8XvTc2Wr+sa/vHpRh55ZxVlEYegz8MNZ3TjpwM64tNWIw3CcSvW+fk8Ftka8JB6oAAoInIYKlq+LqVRp6L15kvNlu+6b0qZML2ILzbuAeD4jk2ZOLyATs0zY1tYkqoe8KBiwCNNAx5STxQARUR+gFq+EHVcnv9wPY/PWUPEdskIeBk79Cgu6ZePR4Gk3rmV6/wwGvCQhqEAKCLyPWzXpTTiEEnhlu+yLSVMmF7Esi17ATi5W3MmXNCbNk3SY1xZ8qnayNmpGvAIaMBDGoYCoIjIQRhjKjZ2jjoVl9NKwZZvOOrw5Ptr+X8frMNxDTnpPm49uyfnH9M25Y5FY7BdF7tywCPTX7HOT8dZGooCoIjId3y35RtIwZbvwo27GT99Ceu+KQXgzIJW3H5uL5pnBWNcWfKpGvDweiyyKjdy1oCHNDQFQBGR/UQrp3yjjovfl3qTlqGwzZ/fXcXUTzZiDORlBbjzvN4M6d0q1qUlnW8HPNCAhzQ6BUAREQ5s+QZSsOU7b81OJs5Ywtd7ygAYflxbbjmrJ7np/hhXllyqNnKuWlqQ5vPi14CHNLJ6e8X97W9/4+STT6Zt27Zs2LABgClTpjBjxoz6+hQiIg3CNYZQ1GFvxAYLAj5vSoW/krIo46cX8cvnP+PrPWW0yU3jiZ/25Z4Lj1b4q0em8oxf2HHxWRY5QT9Zfp/Cn8REvbzqHn/8ccaOHcs555zDnj17cBwHgCZNmjBlypT6+BQiIg0i6riUhG3Kog4BryflfhnPXradEX/5kGmffw3AZf07MO03J3Ny9+Yxriy52K5L2HaxLMgO+MgJashDYqteftI9+uijPP3009xxxx14vd8ulu7Xrx+LFy+uj08hIlKvjDGU2w4lERvbrWj5ptJ6v537wtz8ry+56R9fsGNvmE55GTx/zQncfm4vMoNaHVRfHLfidWYMZAa85Ab9pKXYGWaJT/XyXb5u3TqOO+64A24PBoOUlpbWx6cQEak3rjGURm3K7YpLa6XS5cuMMcxatIUHXl/OnlAUr8fiqpM7cd1pXUnzp960c0OpMeDh04CHxJ96CYCdO3dm4cKFdOzYscbtb7zxBr169aqPTyEiUi+ilZdzizpuyp3121pcxu9nLmPuyh0A9GidzcQRBRS0zY1xZcmjxoCHt3LAI4X+wJDEUS8BcOzYsdxwww2Ul5djjOHTTz/lH//4B5MnT+aZZ56pj08hIlInVVO+pREHY5FSGzu7ruHlBV/x0FsrKA07+L0W153WlZ8P7KxwUk/2v4JHwOMhXVfwkDhXLwHwF7/4Benp6dx5552EQiFGjRpF27ZteeSRR/jJT35SH59CRKTWHNcQsvdr+abQoMfGnaXcPWMJ89fvBqBP+1wmjSika8usGFeWPGzXxXYMPq9Ftt9HUMMdkgDqHABt22bq1KkMGzaMyy+/nFAoxL59+2jZsmV91CciUicRxyUUtYk6qTXo4biGv8/bwF9mr6I86pLu9/LbId25rH8HrUWrJ45rsF0Xj2WR6feS5tcVPCRx1DkA+nw+rrvuOpYtWwZARkYGGRkZdS5MRKQuqqZ8Q1EHLCulWr6rtu1l/PQiir4uAaB/l2ZMuKCA/Gb62VwfXGOwHRcDpPsqLt3mU6iWBFMvLeATTjiBL7744oAhEBGRWKjZ8vWkzC/nqO3yzH/X8tTctdiOISvo4+azenDR8e1SJvw2JA14SDKplwD461//mv/5n//hq6++om/fvmRmZta4v0+fPvXxaUREflB1y9c1BLyp0/It+rqYu6YVsXr7PgBO69mCO8/rTauctBhXlviqBjxcY/BVDngENOAhCc4yxpi6PonnIAuqLcvCGINlWdVXBokXJSUl5ObmUlxcTE5OTqzLEZF6YIyhrLLla1lWykxglkUcHntvNS98tB7XQLPMAOPO6cmwwtYp8fU3NNs1OI6L12OR7vem1B8VEt/qmmXqbSNoEZFYqWr5hm0Xbwq1fOev28XdM5awcVcIgHP6tOG2s3vSNDMQ48oSX9WAh2VZZPgr1vlpeEaSSb0EQK39E5FYiTgupdHKy7mlyNmZfeU2D7+9kn/N3wRAy5wg48/vzak9tPtCXVVcwcMAhqDPQ7rPm1LbBknqqNcLPi5dupSNGzcSiURq3H7BBRfU56cREalo+UYdQnZFyzdV9l6bu3IHk15dyraScgAu7teesUOPIjvNH+PKEtv+Ax4Bj4d0vw9fiiwjkNRULwFw7dq1XHjhhSxevLh67R9Q/Y0Tb2sARSSxOa4hFLUJOxVTvqnQmtsTivDA68t57cstALRvms7E4QWc0CUvxpUlNmMMtjG4rsHnsUj3+wl4Ffwk+dXLee2bbrqJzp07s337djIyMliyZAlz586lX79+zJkzpz4+hYgIUNHyLQlHCTsufm/yhz9jDG8UbWX4ox/y2pdb8Fhw5UkdeeWGkxX+6shxDRHbxTKQFfCRE/Sn1H6Rktrq5QzgvHnzmD17Ns2bN8fj8eDxeBg4cCCTJ0/mt7/9LV988UV9fBoRSWHfbfkGUqDlu2NvmHteW8rsZdsB6NYyi4nDC+iT3yS2hSW4inV+FQMe6X4vaRrwkBRULwHQcRyys7MBaN68OZs3b6ZHjx507NiRFStW1MenEJEUZruGsqhNuePiT4GWrzGG6V9s5g9vLGdvuY3PY/GLQV24dlAXAj4NJNSWW7nOD6MBD5F6eeUXFhby5ZdfAtC/f38efPBBPvzwQyZNmkSXLl1q/bz3338/lmUxevTo6tvKy8u54YYbyMvLIysri5EjR7Jt27a6fgkiEqfCjsveypZvIAVavl/vLuNXLyxg/PQi9pbb9G6bw0vXDeCGM7op/NWSMYaI4xJxXAKWRU7QT5bfp/AnKa3Wr/5Fixbhui4Ad955Z/Xgx6RJk1i3bh2nnHIK//nPf/jzn/9cq+efP38+Tz755AFXERkzZgwzZ87k3//+N++//z6bN2/moosuqu2XISJxyjWGUMRmbziKCwR93qTe4sV1DS9+vIEL//oh89bsJOjzMHboUbx4bX96tM6OdXkJy3Zdwo6L14KcgI/soC8llg+I/JBaXwnE6/WyZcsWWrZsSZcuXZg/fz55ed8uSN61axdNmzat1TfZvn37OP7443nssce45557OPbYY5kyZQrFxcW0aNGCqVOncvHFFwOwfPlyevXqxbx58zjxxBMP6/l1JRCR+Ga7FeEv7KZGy3ftjn1MmL6EhZv2AHB8x6ZMHF5Ap+aZ3/+BckiOW7HOz+uxSPd5kv4PCEk9dc0ytT4D2KRJk+orgKxfv776bGCVZs2a1fovrBtuuIFzzz2XIUOG1Lh9wYIFRKPRGrf37NmTDh06MG/evFp9LhGJH8YYwnZFyzfiugSTvOUbdVyembuWSx6fx8JNe8gIeLnzvF48+/MfKfzVkmsMYdvBcQ0Zfi+5QT/pfp/Cn8h31HoIZOTIkZx66qm0adMGy7Lo168fXq/3oI9du3btYT/vSy+9xOeff878+fMPuG/r1q0EAgGaNGlS4/ZWrVqxdevWQz5nOBwmHA5Xv19SUnLY9YhI43Arp3zLbAePZRH0HfznSbJYtqWECdOLWLZlLwAnd2vOhAt606ZJeowrS0zGGCL7DXik+bz4tcZP5JBqHQCfeuopLrroIlavXs1vf/tbrr322upJ4NratGkTN910E2+//TZpaWl1eq79TZ48mYkTJ9bb84lI/bJdl1DESYm9/cJRhyffX8v/+2AdjmvITfdz69k9Oe+YNlqXVgvGGGzX4FRdwSPgw68reIj8oFqvAdzfz3/+c/785z/XOQBOnz6dCy+8sMaZRMep2PPL4/Hw5ptvMmTIEHbv3l3jLGDHjh0ZPXo0Y8aMOejzHuwMYH5+vtYAisRY1XRmadTBNSbpF+cv3Lib8dOXsO6bUgDOLGjF7ef2onlWMMaVJSbbdbEdg99rke7zJv3rR2R/dV0DWC/7AD777LP18TQMHjyYxYsX17jt5z//OT179uTWW28lPz8fv9/Pu+++y8iRIwFYsWIFGzduZMCAAYd83mAwSDCoH7Ai8SSVWr6hsM2f313F1E82Ygw0zwpwx3m9GdK7VaxLS0iOa4i6Ll7LIjNQsZGz1viJHJl6CYD1JTs7m8LCwhq3ZWZmkpeXV337Nddcw9ixY2nWrBk5OTnceOONDBgw4LAngEUk9mzXpTTiEEmBlu9Hq79h0qtL+XpPGQAjjmvHzWf1IDfdH+PKEk/1FTyADJ+u4CFSF3EVAA/Hww8/jMfjYeTIkYTDYYYNG8Zjjz0W67JE5DAYYwg7LqHKlm8yX3e1pCzKH99cwbTPvwagbZM0JlxQwEndmse4ssRjKq/gYTTgIVJv6mUNYKLRPoAije+7LV+/N3l/gb+7bBv3vraMHXvDWBZcdkIHbhrSnYxgwv3NHVMHDHj4vRrwEKkUF2sARUS+T7RyyjfiuAR8nqRdr/XNvjD3/2c5bxZVbEvVqXkmE4cXcHzHpjGuLPFUDXj4vBbZfh9BDXiI1CsFQBFpMPu3fE0St3yNMby2aAsP/Gc5xWVRvB6Lq07uxPWndSXoT97hloZQY8DD7yXNrwEPkYagACgiDaJGy9djETjERvGJbmtxGZNeXcp/V30DQI/W2UwaUUjvtlpeciRcY7AdF0PFgEfQ58WnAQ+RBqMAKCL1Llp51i/quPiTtOXruoaXF3zFQ2+toDTs4PdaXH9aN64a2Cmp1zfWtxoDHt7KAQ8dP5EGpwAoIvWmquVbGnUwBgJJ2vLduLOUCTOW8Nn63QAck9+ESSMK6NIiK8aVJY6qAQ/XGHweDxm6godIo1IAFJF64RpDadSm3HbxeSx8SXgWx3ENf/toPX+ZvZqw7ZLu9/LbId25rH8H7Ud3BGy3ot3r81hkBXwEvMl5llgknikAikidRSvP+kWTeMp31ba9jJ9eRNHXJQD079KMu4cX0L5pRowrSxyOa7BdF0/lgEdQGzmLxIwCoIjUWnXLN+JgLJJyyjdquzw9dy1P/3cttmPITvNx87AeXHh8u6T7WhtKxRU8DGBI14CHSFxQABSRWnFcQ8jer+WbhFdmKPq6mLumFbF6+z4ATuvZgrvO603LnLQYV5YYDhzw8GnAQyROKACKyBGraPnaRB2TlC3fsojDX2ev5m/z1uMaaJYZYNw5PRlW2Fpn/Q7Ddwc80gM+AhrwEIkrCoAictiMMZTbDqGoC0na8p2/bhd3z1jCxl0hAM7t04Zbz+5J08xAjCtLDE7lgIdXAx4icU0BUEQOS7K3fPeV2zz89kr+NX8TAC1zgkw4v4BBPVrEuLLEULHOz8WyLDI04CES9xQAReQHRRyXUNQm6pqkPKMzd+UOJr26lG0l5QBc0q89Y4YeRXaaP8aVxb/9BzyCPg/pPm/S/XEgkowUAEXkkIwxlNkOZVEHLIugN7lavrtLIzzw+nJmLdoCQH6zdO6+oIATuuTFuLL4VzXg4RpD0OMhza+NnEUSiQKgiBxUzZavJ6m27TDG8OaSbUyetYxdpRE8FlwxoCO/OaM76YHkvGZxfYq6Lo5r8Hsssvx+Al4FP5FEowAoIgdI5pbv9pJy7p21jNnLtgPQrWUWE4cX0Ce/SWwLSwCOW7HOr+oKHsEke22IpBIFQBGpZoyhLOoQsh2sJGv5GmOY/sXX/OGNFewtt/F5LK4d1IVrB3XB79Oate9TPeBBxYBHmgY8RBKeAqCIAJUt36hN2Klo+SbTL/ivd5cx8dUlzFuzE4CCtjlMurCQo1plx7iy+OZWrvPDaMBDJNkoAIoIkcqNnR3X4E+itp7jGl76dCOPvLOKsohD0OfhN2d044oBHfHpihSHVLWRs1M14BHQgIdIslEAFElh3235BpKo5bt2xz4mTF/Cwk17AOjbsSkTRxTQMS8ztoXFOdt1sSsHPDL9vqR6TYjItxQARVJUsrZ8o47Lcx+s5/E5q4k6hoyAl7FDj+KSfvl4kuRrbAhVAx5ej0VW5UbOyXImWEQOpAAokoLCjksoYuOY5Gr5LttSwvhpRSzfuheAgd2bM/783rRpkh7jyuLXtwMeaMBDJIUoAIqkENcYyvef8vUlx5534ajDE3PW8OyH63FcQ266n1vP6cl5fdqofXkIVRs5m8oBjzSfF78GPERShgKgSIqwXUMoYhN2XfxJ1PJduHE346cvYd03pQAMLWjFuHN70TwrGOPK4tP+Ax4Bj4d0DXiIpCQFQJEkZ4wh4lSs93OMSZq9/UJhm0feWcU/Pt2IMdA8K8Cd5/VmcO9WsS4tbtmui+0YfF6LbL8vaV4LInLkFABFkphbOeVbZjt4kqjl+9Hqb5j46hI27ykHYMRx7bj5rB7kpvtjXFl8clxD1HXxWhaZgYp1fsmy7lNEakcBUCRJ2a5LKOIkVcu3uCzKH99YwfQvvgagbZM0JlxQwEndmse4svhUY8DDpwEPEfmWAqBIkqlo+bqURh3cJGr5vrtsG/fMXMo3+yJYFlx2QgduGtKdjKB+jH1XjQEPb+WAhza+FpH96CenSBJJxpbvN/vCTJ61jLeWbAOgU/NMJg0v4LiOTWNcWfzRgIeIHC4FQJEkUd3ydVz83sRv+RpjeG3RFh74z3KKy6J4PRY/P7kT153WlaA/8YNtfdOAh4gcCQVAkQR3QMvXl/i/+LcWlzHp1aX8d9U3APRsnc3EEYX0bpsT48rij+MabNfFY1lk+r2k+TXgISI/TAFQJIElW8vXdQ0vL/iKh95aQWnYwe+1uP60blw1sJPWsH2Hawy242KAdF/Fpdt8CX7WV0QajwKgSIKKVrZ8I0nS8t2ws5S7Zyzhs/W7ATgmvwmTRhTQpUVWjCuLLxrwEJH6oAAokmCMMRXX8o061ZfxSuSWr+24/H3eBv4yezVh2yXd7+WmM7vzkxM6JHyorU9VAx6uMfgqBzwCGvAQkVpSABRJIDVavh6LgDexW74rt+1lwvQiir4uAeDELnlMGN6b9k0zYlxZfLFdg+O4eD0WWQEfAa9H6/xEpE7irm/w+OOP06dPH3JycsjJyWHAgAG8/vrr1fefdtppWJZV4+26666LYcUijSPquuwN25RFHfxeD35P3H37Hrao7fLY7NX8+Il5FH1dQnaaj0kjCnjqZ30V/vbjuIawXTHck+H3khP06yoeIlIv4u4MYPv27bn//vvp3r07xhief/55hg8fzhdffEFBQQEA1157LZMmTar+mIwM/cKQ5LV/y9c1EEjwlu/ir/YwfvoSVm/fB8DpPVty53m9aJmTFuPK4kfFFTwMUNHiT/d58SVw4BeR+BN3AfD888+v8f69997L448/zscff1wdADMyMmjdunUsyhNpVFUt35Dt4PVYBBN4sX9ZxOGvs1fzt3nrcQ00ywww7pyeDCtsndCBtj7tP+AR8HhI9/vwaZ2fiDSAuP5t4jgOL730EqWlpQwYMKD69hdffJHmzZtTWFjIuHHjCIVCMaxSpGFEHZeSypZvIMFbvvPX7WLkYx/y/EcV4e/cPm2Y/puTOevoNgo3VAU/l4jj4rUgO+AnO+jDr82cRaSBxN0ZQIDFixczYMAAysvLycrKYtq0afTu3RuAUaNG0bFjR9q2bcuiRYu49dZbWbFiBa+88sohny8cDhMOh6vfLykpafCvQaS2qlq+pVEHk+At333lNg+9tYJ/f/YVAK1y0hh/fm8G9WgR48rih+Maoo6LTwMeItKILGOMiXUR3xWJRNi4cSPFxcW8/PLLPPPMM7z//vvVIXB/s2fPZvDgwaxevZquXbse9PnuvvtuJk6ceMDtxcXF5OToygISPxzXELJtyu2KQJDI677mrtzBpFeXsq2kHIBL+rVn7NAeZKXF5d+dja5inZ+LhUWar2I/P217IyKHq6SkhNzc3FpnmbgMgN81ZMgQunbtypNPPnnAfaWlpWRlZfHGG28wbNiwg378wc4A5ufnKwBKXIk6LqVRm6hjCPgS9yzQ7tIID7y+nFmLtgCQ3yydicML+VHnZjGuLD64lev8MBrwEJHaq2sATIg/xV3XrRHg9rdw4UIA2rRpc8iPDwaDBIPBhihNpM6MMZTbDqGoi7FI2I2djTG8uWQbk2ctY1dpBI8FPx3QiRvO6EZ6ILH3K6wPVQMerjEEPR7SAj78GvAQkRiJuwA4btw4zj77bDp06MDevXuZOnUqc+bM4c0332TNmjVMnTqVc845h7y8PBYtWsSYMWMYNGgQffr0iXXpIkcsWVq+20vKuee1Zby3fDsA3VpmMWlEAUe3bxLbwuKE7brYrsHvscjyV6zzU/ATkViKuwC4fft2rrzySrZs2UJubi59+vThzTff5Mwzz2TTpk288847TJkyhdLSUvLz8xk5ciR33nlnrMsWOWIRxyWU4C1fYwzTPv+aP765gr3lNj6PxbWDunDtoC74fYkZZutT1YCH12OR5fcS1CbOIhInEmINYH2ra99cpC6+bfk6YFkJ2wb8aneIiTOW8vHanQAUtM1h0oWFHNUqO8aVxZ4GPESkoaXEGkCRZFGz5evBl4ChwHENL326kUfeXkVZ1CHo8/CbM7pxxYCO+BJ4o+r6YIwhst+AR5rPm9D7N4pI8lIAFGkk1S1f1yTsXm9rd+xjwvQlLNy0B4C+HZsycUQBHfMyY1tYjBljsF2DU3UFDw14iEicUwAUaWDGGMoqW76WVXE5t0QLBlHH5bkP1vP4nNVEHUNm0MvYoT24uG97PAl4FrM+2a6L7Rj8XotMDXiISIJQABRpQI5rCEVtwk5FyzcR14Et21LC+GlFLN+6F4CB3Zsz4YLetM5Nj3FlseW4FZdv81oWmQEvaRrwEJEEogAo0kAilRs7O67Bn4At33DU4Yk5a3j2w/U4riE33c+t5/TkvD6pff3ebwc8IMPn1YCHiCQkBUCRemaMoSzqELIrWr6J2BL8YsNuxs9YwvpvSgEYVtia287pSfOs1N1QvWojZ2MMQa+HNL8GPEQkcSkAitSjRG/5hsI2j7yzin98uhFjoHlWgDvP783gXq1iXVrMaMBDRJKRAqBIPYk4LqURG8ckZsv3o9XfMPHVJWzeUw7AiOPacfNZPchN98e4stipGvDweS2y/b6EHOARETkYBUCROvpuyzfoS6zr3haXRfnjGyuY/sXXALRtksaECwo4qVvzGFcWOzUGPPxe0vwa8BCR5KIAKFIHtmsoi9qUOy7+BGz5vrt0G/e8tpRv9kWwLLjshA7cNKQ7GcHU/NHgGoPtuBgqBjyCPm9CbtYtIvJDUvOnvEg9CDsuocqWb6K1Br/ZF2byrGW8tWQbAJ2aZzJpeAHHdWwa48pi44ABD58Xf4pf1UREkpsCoMgRcitbvmW2gyfBWr7GGF77cgsPvL6c4rIoXo/Fz0/uxHWndSXoT5yvo75UDXi4xuDzeMjQgIeIpAgFQJEjYLsuoYhD2E28lu/W4jImvrqUD1Z9A0DP1tlMurCQXm2O/CLiycB2K9q9Po9FVsCXsJfnExGpDQVAkcNgjCHiVGzxkmgtX9c1vLzgKx56awWlYQe/1+L607px1cBOKdnmdFyD7bp4Kgc8gtrIWURSkAKgyA9I5Jbvhp2l3D1jCZ+t3w3AsflNmDiigC4tsmJcWeOruoIHQLrPS9DnwaeNnEUkRSkAinyP6pav4+L3Jk7L13Zc/jZvA3+dvZqw7ZLu93LTmd35yQkdEuZrqC8a8BAROZACoMhBVLR8XUqjDq4xBH2J0/JduW0v46cVsWRzCQAndsljwvDetG+aEePKGtd3BzzSAz4CGvAQEQEUAEUOkKgt36jt8tTctTwzdy22a8hO83HLWT0YcVy7lAs9TuWAh1cDHiIiB6UAKLIf23UpjThEEqzlu/irPYyfvoTV2/cBcEavltxxbi9a5qTFuLLGVbXOz7IsMjTgISJySAqAIlS0C8OOSyjqVKwVS5CWb1nE4a+zV/O3eetxDTTLDDDu3F4MK2iVEPXXl4rgZ4CKf7t0n1cDHiIi30MBUFLed1u+gQRp+c5ft4sJM4rYtKsMgPOOacPvzupJ08xAjCtrPFUDHq4xBD0e0vzayFlE5HAoAEpKi1ZO+UYdF78vMdaJ7S2P8tBbK3n5s68AaJWTxvjzezOoR4sYV9a4oq6L4xr8Hossv5+AV8FPRORwKQBKSvpuyzeQIC3fuSt2MHHmEraXhAG4pF97xg7tQVZa6nwrO27FOr+qK3gENeAhInLEUue3hkilqpZvyHbweiwC3vhv+e4ujfDA68uZtWgLAPnN0pk4vJAfdW4W48oaT/WABxUDHmka8BARqTUFQEkp0cq9/WzHJZAALV9jDG8WbWXyf5azqzSCx4IrT+rEr0/vRnog/oNrfXAr1/lhNOAhIlJfFAAlJVS1fEujDsaQEC3f7SXl3PPaMt5bvh2Abi2zmDSigKPbN4ltYY2kaiNnp2rAI6ABDxGR+qIAKEnPNYbSqE25XbFuzBfnlwEzxjDt86/545sr2Ftu4/NaXHtKF64d1AW/L75rry+262JXDnhk+is2clbwExGpPwqAktSqWr7RBGn5frU7xN0zlvDJ2l0AFLbLYeKIQo5qlR3jyhpH1YCH12ORVbmRc7z/m4mIJCIFQElK1S3fiIOxiPuNnR3X8I9PNvLnd1ZRFnUI+jz85oxuXDGgY9yfsawP3w54oAEPEZFGoAAoScdxDSF7v5ZvnA8MrN2xj/HTl/Dlpj0A9OvUlInDC+iQlxnbwhpB1UbOVVdfSfN58cf5v5eISDJQAJSkEnFcQlGbqGPivuUbdVye/WAdT8xZQ9QxZAa9jB3ag4v7tseT5Ge/9h/wCHg8pGvAQ0SkUSkASlIwxlBuO4SiDlhW3Ld8l20pYfy0IpZv3QvAKd2bM/6C3rTOTY9xZQ3Pdl1sx+DzWmT7KzZyjud/KxGRZKQAKAmvZsvXgy+Oz56Fow6Pz1nDcx+ux3ENuel+bj2nJ+f1aZP0IchxDVHXxWtZZAYq1vnF8xlaEZFkpgAoCa265esaAnF+SbDPN+xmwvQi1u8MATCssDXjzulJXlYwxpU1rBoDHj4NeIiIxAMFQElIxhjKKlu+lmXFdRsxFLaZ8s4qXvp0I8ZA86wAd57fm8G9WsW6tAZVY8DDWzngkQITzSIiiUABUBJOVcs3bLt447zl+9Hqb5j46hI27ykH4MLj2/E/w3qQm+6PcWUNRwMeIiLxL+7+HH/88cfp06cPOTk55OTkMGDAAF5//fXq+8vLy7nhhhvIy8sjKyuLkSNHsm3bthhWLI0p4riURKKU2y5+b/yGv+KyKHdOW8yvXljA5j3ltGuSzpNX9mXSiMKkDn+26xK2XSwLsgM+coK6ioeISDyKuwDYvn177r//fhYsWMBnn33GGWecwfDhw1myZAkAY8aMYebMmfz73//m/fffZ/PmzVx00UUxrloamjGGUMSmJBzFNRCM4/V+7y7dxohHP2DGF5uxLLj8xA68csNJnNSteaxLazCOawjbFddZzvR7yQ36SfN5FfxEROKUZYwxsS7ihzRr1ow//OEPXHzxxbRo0YKpU6dy8cUXA7B8+XJ69erFvHnzOPHEEw/r+UpKSsjNzaW4uJicnJyGLF3qgeMaQlGbsFMx5RuvAwTf7AszedYy3lpScUa6U/NMJg0v4LiOTWNcWcNxjcF2XAyQ7qu4dFu8npUVEUkmdc0ycb0G0HEc/v3vf1NaWsqAAQNYsGAB0WiUIUOGVD+mZ8+edOjQ4XsDYDgcJhwOV79fUlLS4LVL/Yg4LqURG8cY/HF61s8Yw2tfbuGB15dTXBbF67G4emBnfnVqF4J+b6zLaxAa8BARSWxxGQAXL17MgAEDKC8vJysri2nTptG7d28WLlxIIBCgSZMmNR7fqlUrtm7desjnmzx5MhMnTmzgqqU+GWMoizqE7Iop33hdR7ZlTxmTZi7lg1XfANCzdTaTLiykV5vkPLNcNeDhGoOvcsAjoAEPEZGEE5cBsEePHixcuJDi4mJefvllfvazn/H+++/X+vnGjRvH2LFjq98vKSkhPz+/PkqVBmC7hrKoTbnj4o/Tlq/rGv792SYeemsloYhDwOfh+tO68rOTOyXtmTDbNTiOi9djkRXwxf2+iyIicmhxGQADgQDdunUDoG/fvsyfP59HHnmEH//4x0QiEfbs2VPjLOC2bdto3br1IZ8vGAwSDCb3ZrvJIuy4hCpbvvEaMDbsLGXC9CUs2LAbgGPzmzBxRAFdWmTFuLKG4bgG23WxLIsMf8U6v3gM5SIicvjiMgB+l+u6hMNh+vbti9/v591332XkyJEArFixgo0bNzJgwIAYVyl14RpD+X4t36Av/tbO2Y7L3+Zt4K+zVxO2XdIDXm4a0p2fnNAhKQNRxRU8DGAI+jyk+7z4PMl5dlNEJNXEXQAcN24cZ599Nh06dGDv3r1MnTqVOXPm8Oabb5Kbm8s111zD2LFjadasGTk5Odx4440MGDDgsCeAJf7YbsUWL2E3flu+K7buZcL0IpZsrhggOrFLHncPL6Bd0/QYV1b/9h/wCHg8pPt9+LTOT0QkqcRdANy+fTtXXnklW7ZsITc3lz59+vDmm29y5plnAvDwww/j8XgYOXIk4XCYYcOG8dhjj8W4aqkNYwwRp2KLF6dymjTeQkbEdnl67lqembsW2zVkp/m45awejDiuXdzVWlfGGGxjcF2Dz2OR7vcT8Cr4iYgko4TYB7C+aR/A2HMrp3zLbAePZcXl4MSiTXuYMGMJq7fvA+CMXi2549xetMxJi3Fl9c9xDVHHrQx+3rhdfykiIhWSeh9ASU626xKKOISdisu5xVvLtyzi8JfZq/j7vA24BpplBrj93F4MLWiVdGfDKtb5uVhUDHikacBDRCQlKABKo6lo+bqURh1cUzFYEG+Bav66XUyYUcSmXWUAnHdMG249uydNMgIxrqx+uZXr/DAa8BARSUUKgNIovtvyjbcp373lUR56ayUvf/YVAK1y0hh/QW8GHdUixpXVr6oBD9cYgh4PaQEffg14iIikHAVAaXC261IacYjEacv3/RXbmTRzKdtLKi4XeOmP8hlz5lFkpSXXt4ftutiuwe+xyPL74vbqKiIi0vCS6zecxBVjTMXGznHa8t1dGuH+15fzn0VbAMhvls7E4YX8qHOzGFdWv6oGPLwei6zKjZw14CEiktoUAKVBxHPL1xjDG0VbmTxrGbtDUTwWXHlSJ359ejfSA/FTZ11pwENERA5FAVDqXbRyyjfiuAR88bWdyPaScn7/2lLmLN8BQLeWWfz+wkIK2+XGuLL6Y4whst+AR5rPi18DHiIish8FQKk3+7d8TZy1fI0xTPv8a/745gr2ltv4vBa/HNSFX5zSBb8vOcKRMQbbNRXXUfZ4SNeAh4iIHIICoNSLGi1fj0XAGz+t1E27Qkx8dQmfrN0FQGG7HCaNKKR7q+wYV1Z/bNfFdgx+r0WmBjxEROQHKABKnUUrz/pFHRd/HLV8Hdcw9eMNPPruasqiDkGfhxsHd+eKAR2TZi2c4xqirovXssgMVKzzi5fjLyIi8UsBUGqtquVbGnUwBgJx1PJdu2Mf46cv4ctNewDo16kpE4cX0CEvM7aF1ZNvBzwgw6cBDxEROTIKgFIrrjGURm3K7Yrrx/ri5Fq+Ucfl2Q/W8cScNUQdQ2bQy9ihPbi4b3s8SRCQqjZyNsYQ9HpI82vAQ0REjpwCoNRKWdShPBpfU75LN5cwfnoRK7buBeCU7s0Zf0FvWuemx7iyutOAh4iI1CcFQKkVF4PHY8VF+AtHHR6fs4bnPlyP4xqaZPi59eyenNunTVIEpKoBD5/XItvvI6gBDxERqSMFQElon2/YzYTpRazfGQJgWGFrxp3Tk7ysYIwrq7saAx5+L2l+DXiIiEj9UACUhFQatnnknVW89OlGjIEW2UHuOK8Xg3u1inVpdeYag+24GCoGPII+L74kWL8oIiLxQwFQEs5Hq7/h7hlL2FJcDsCFx7fjf4b1IDfdH+PK6uaAAQ+fF3+cDNeIiEhyUQCUhFFcFuUPbyxnxhebAWjXJJ0JwwsY0DUvxpXVTdWAh2sMvsoBj4AGPEREpAEpAEpCeGfpNu59bSnf7ItgWXB5/w7cOLg7GcHEfgnbbkW71+exyApUXMFD6/xERKShJfZvT0l63+wLc9+sZby9ZBsAnZtnMmlEAcd2aBrjyurGcQ226+KpHPAIaiNnERFpRAqAEpeMMcz8cjMPvL6ckjIbr8fi6oGd+dWpXQj64+c6w0eq6goeAOk+L0GfB582chYRkUamAChxZ8ueMia+upQPV38DQM/W2Uy6sJBebXJiXFntacBDRETiiQKgxA3XNfzrs008/NZKQhGHgM/D9ad15Wcnd0rYsKQBDxERiUcKgBIXNuwsZcL0JSzYsBuAY/ObMHFEAV1aZMW4stpzKgc8vBrwEBGROKMAKDFlOy5/m7eBv85eTdh2SQ94uWlIdy47oQOeBB2KqFrnZ1kWGRrwEBGROKQAKDGzYuteJkwvYsnmEgAGdM1jwgUFtGuaHuPKaqci+BnAEPR5SPd5NeAhIiJxSQFQGl3Ednl67lqembsW2zVkp/m45ayejDiubUKujasa8HCNIejxkOb34dc6PxERiWMKgNKoFm3aw/jpRazZUQrAGb1acud5vWmRHYxxZbUTdV0c1+D3WGT5/QS8Cn4iIhL/FAClUZRFHB59dxV//3gDxkCzzAC3n9uLoQWtEjIwOW7FOr+qK3gENeAhIiIJRAFQGtyna3cyYcYSvtpdBsD5x7Tld2f3oElGIMaVHbnqAQ8qBjzSNOAhIiIJSAFQGsze8igPvbWSlz/7CoBWOWmMv6A3g45qEePKjpxbuc4PowEPERFJfAqA0iDeX7GdSTOXsr0kDMCPf5TP6DOPIistsV5yVRs5O1UDHgENeIiISOJLrN/GEvd2lUZ44PXl/GfRFgA6NMvg7uEF/KhzsxhXduRs18WuHPDI9Fds5KzgJyIiyUABUOqFMYY3irYyedYydoeieCy48qRO/Pr0bqQHvLEu74hUDXh4PRZZlRs5a8BDRESSiQKg1Nm2knLueW0pc5bvAKBbyyx+f2Ehhe1yY1zZkfl2wAMNeIiISFKLu1XskydP5kc/+hHZ2dm0bNmSESNGsGLFihqPOe2007Asq8bbddddF6OKU5cxhv9b8BUX/uVD5izfgc9r8evTu/Kv6wYkVPgzxhBxXKKOS9DnISfNT2bAp/AnIiJJK+7OAL7//vvccMMN/OhHP8K2bW6//XaGDh3K0qVLyczMrH7ctddey6RJk6rfz8jIiEW5KWvTrhB3z1jKp+t2AXB0u1wmjiige6vsGFd2+PYf8Ah4PKRrwENERFJE3AXAN954o8b7zz33HC1btmTBggUMGjSo+vaMjAxat27d2OWlPNc1PPvRev745nLKoi5pfg+/OaM7VwzomFBnzGzXxXYMPq9Ftr9iI2cFPxERSRVx1wL+ruLiYgCaNas5Rfriiy/SvHlzCgsLGTduHKFQKBblpRzLgneWbqMs6tK3U1P+79cn8bOTOyVM+HNcQ7ntYAxkBrzkBv2k+bwKfyIiklLi7gzg/lzXZfTo0Zx88skUFhZW3z5q1Cg6duxI27ZtWbRoEbfeeisrVqzglVdeOejzhMNhwuFw9fslJSUNXnuysiyL+0cezTvLt3HBce1I8yXGhG+NAQ9fxWSvL0FCq4iISH2zjDEm1kUcyvXXX8/rr7/OBx98QPv27Q/5uNmzZzN48GBWr15N165dD7j/7rvvZuLEiQfcXlxcTE5OTr3WnCr2RqJEHEPAG98nkU3lFTyMMQS9HtJ8XvxxXrOIiMgPKSkpITc3t9ZZJm5/E/7mN7/htdde47333vve8AfQv39/AFavXn3Q+8eNG0dxcXH126ZNm+q9XokvpvKMX9hx8VkWOUE/WQGfwp+IiAhx2AI2xnDjjTcybdo05syZQ+fOnX/wYxYuXAhAmzZtDnp/MBgkGAzWZ5kSxzTgISIi8v3iLgDecMMNTJ06lRkzZpCdnc3WrVsByM3NJT09nTVr1jB16lTOOecc8vLyWLRoEWPGjGHQoEH06dMnxtVLLDmuwXZdPJZFpt9Lml9X8BARETmYuFsDeKgzNc8++yxXXXUVmzZt4oorrqCoqIjS0lLy8/O58MILufPOOw+7B17XvrnE1xpA1xhsx8UA6RrwEBGRFFDXLBN3ZwB/KI/m5+fz/vvvN1I1Es804CEiIlI7cRcARX5I1RU8XGPwVV7BI6AreIiIiBw2BUBJKLZrcBwXr8ciK+Aj4PVonZ+IiMgRUgCUhFA14GFZFhn+inV+iXL1ERERkXijAChxreIKHgYwBH0e0n1efB6t8xMREakLBUCJS1UDHq4xBD0e0v0+fFrnJyIiUi8UACWuGGOwjcF1DT6PRZbfT8Cr4CciIlKfFAAlbjhuxeXbfBrwEBERaVAKgBJzbuV1ey0qBjzSNOAhIiLSoBQAJWbcynV+GA14iIiINCYFQGl03x3wSAv48GvAQ0REpNEoAEqjsl0X2zX4PRZZ/op1fgp+IiIijUsBUBpF1YCH12ORVbmRswY8REREYkMBUBqUBjxERETijwKgNAhjDJH9BjzSfF78GvAQERGJCwqAUq+MMdiuwTGGgMdDugY8RERE4o4CoNQb23WxHYPfa5GpAQ8REZG4pQAodea4hqjr4rUsMgMV6/w04CEiIhK/FACl1owxhG0HC8jwacBDREQkUSgASp0EvR7S/BrwEBERSSQKgFIrQa+XoNerAQ8REZEEpAAotRLw6oyfiIhIotJvcREREZEUowAoIiIikmIUAEVERERSjAKgiIiISIpRABQRERFJMQqAIiIiIilGAVBEREQkxSgAioiIiKQYBUARERGRFKMAKCIiIpJiFABFREREUowCoIiIiEiKUQAUERERSTEKgCIiIiIpxhfrAmLBGANASUlJjCsREREROXJVGaYq0xyplAyAO3fuBCA/Pz/GlYiIiIjU3s6dO8nNzT3ij0vJANisWTMANm7cWKuDlupKSkrIz89n06ZN5OTkxLqchKRjWDc6fnWnY1g3On51p2NYN8XFxXTo0KE60xyplAyAHk/F0sfc3Fy96OogJydHx6+OdAzrRsev7nQM60bHr+50DOumKtMc8cfVcx0iIiIiEucUAEVERERSTEoGwGAwyIQJEwgGg7EuJSHp+NWdjmHd6PjVnY5h3ej41Z2OYd3U9fhZprbzwyIiIiKSkFLyDKCIiIhIKlMAFBEREUkxCoAiIiIiKUYBUERERCTFKACKiIiIpJikDIAabK4fOo7S2MLhcPX/6/V35LZv386aNWtiXUbC+u5rznXdGFUi0vCSJgDatg2A4zhYlqVv3CP01Vdf8eabb/Lvf/+bDRs2AOg4HoFt27axYMEC3n77bUKhUKzLSUhLly5l5MiRvPvuu0DF608h8PAtWrSIU045hTfffJMdO3bEupyEs2rVKn73u9/x61//mgcffBCo/SW2UpXjOLEuQY5AUlwLeOXKlfzpT39i69at+P1+Hn/8cVq0aIHruvoGPgyLFy/mzDPPpEOHDnz++eccd9xxDBgwgD//+c94PB4dxx+wePFifvzjHxMIBFi0aBFnn302DzzwAIWFhbEuLWEYY3jwwQf54IMPsCwLgMGDB1eHwKrb5OBWrVrFGWecwRVXXMGVV15JVlZWjfv1Pfz9Fi9ezBlnnMHpp5/Ozp07+fjjj8nJyeG6664D0GvwMCxbtoxHH32UNWvWcNJJJzFgwACGDh0a67ISyurVq3nppZdYsmQJQ4cOZeDAgXTv3r3BPl/C/0QoKiripJNOwnEc2rRpw9atWznppJMoLS3VD7zDUFxczE9/+lMuu+wy3n77bTZs2MDw4cN57733OO+88wCqQ6AcaNWqVQwbNoyRI0cybdo0li1bxqJFi/jf//3fWJeWUCzLIjMzk549e+L3+7n//vt5++23q++T7/fkk08ydOhQpkyZQmZmJi+99BKPPvoof/vb3wB9D3+fb775hiuuuIKrr76af/3rX7zyyiu0bt2asrKy6seoG/L9li9fzoABA9i7dy95eXl88MEHjBo1iilTpsS6tIRRVFTEwIED+fzzz9m+fTv33nsvjz32GOFwuOE6ISaBbd682fTt29fccsst1bctW7bM9O7d28yYMSOGlSWODRs2mKOOOsp89NFH1bft3bvX/Otf/zI9evQwl1xySQyri2+hUMj86le/Mtdcc40Jh8PGtm1jjDFPPPGEKSgoMOXl5cZ13RhXmTimTp1q7r//fvPJJ5+YYcOGmaFDh5ovvvjCPPDAA2bDhg2xLi+uXXzxxeaRRx4xxhhz4oknmlNOOcV07drVdO3a1fTv3984jmOMMXo9HsSCBQtMz549zerVq6tv+/nPf24uuugiM2rUKHP99ddX3151HKWmMWPGmAsvvLD6/Q0bNpjJkycby7LM/fffH8PKEsOmTZtM7969zW233VZ923PPPWeaNm1q1q1b12CfN6FPkS1cuBC/388111xTfVvPnj3x+XysW7cuhpUljuzsbKLRKB999FH1bVlZWVxwwQXcfvvtrFixgieffDKGFcYvx3GIRCIMHDiQQCCA1+sFoHXr1uzatYtIJBLjChNLdnY2r776KieccAK33HILmZmZnHfeedx2223V17o0WhN4ULZts3DhQp544glycnKYNm0an3zyCS+++CIlJSWMGDEC0NnUg8nMzCQUCvH3v/8d27b5/e9/z9/+9je6d+9Oy5YtmT17NqeccgqgNYEHY4xh/fr1BAKB6ts6dOjAjTfeyJ/+9Cfuuusunn322RhWGN+MMcyePZtevXrxq1/9qvpM82WXXUabNm1Yv359g33uhH419+3bl+uvv54ePXoAEI1GAWjevHn1/8v3y8jIYNCgQbzzzjssXry4+vZgMMjFF19Mp06dmDNnTuwKjGNZWVnce++9XHXVVcC3C6Bbt25NXl4eWVlZ1b9wly9fHqsyE8ZRRx1VfQwHDx7M3r172b17N/3792fVqlWAAsx3Vf2yuPDCC9m0aROvvPIKJ554Inl5eeTl5dG/f38mTJjAmjVr9EfxIbRp04af/OQnPP3005xzzjlMmjSJf/7zn9x///08/PDDPP7446xevZr3338/1qXGJcuyGDRoEF9++SXLli2rvj0zM5OrrrqKG264gaeffprNmzfHsMr4ZVkWrVu3ZuDAgXTq1Kn6jwzXdQmFQmzdurXBPndCB8CWLVty5ZVXAhUHy+/3AxWhZu/evdWPe+SRR2qEG/lWMBjk5ptv5osvvuCee+6psYVERkYGp556KitXrtRk6yG0adMGqHj9VZ0BdF2XkpKS6mN2xx13cNNNN1FcXByzOhNBt27dCAaDbNq0iSuvvJKlS5fyxz/+kdatWzN27Fjmzp0b6xLjTtUvi9NOO41oNMo777xzQNBr06YNjuPo7NUh5OTkcOedd/Lf//6XO++8k549ezJo0KAa92dlZZGdnR3DKuNbv379yM7O5rnnnuOrr76qvr1p06ace+65FBUVsWXLlhhWGN+GDh3K6NGjgW+7HMFgkKZNm1bnGoB//OMffPbZZ/X2eZPmJ4LH46k+cFVbwQCMHz+eMWPG6IffIbiuS2FhITNmzGDWrFncdtttvPfee9X3L1++nPbt2+PzJcXAeIPZ//UViUTYu3cvPp+PCRMm8OCDD3LvvfeSm5sbwwrjmzEG27YxxjBgwADmzJnDrFmzuP7667n22mvp0qULnTp1inWZcckYQ4cOHXjqqac49thjmTVrFpMnTwYq9lV89913ycvLIycnJ8aVxq/s7Gw6d+5Mu3btCAaDNc5kzZgxg6ysLNq1axfDCuPbwIEDueyyy/jnP//JU089xdq1a6vvO/roo+nQoUONPT7l0KqyS9VgXHp6OgDjxo3j+uuvp2nTpvX3uUwSLaqxbRufz8eQIUMYPnw4xhhuvfVWPvzwQ44//vhYlxdTrutijKk+S1V1m8fjwXEcvF4vCxYs4Be/+EX1bZ06deK9995j7ty5HHPMMTGsPva+7/h918cff8xvf/tbTj31VB599FE+/PBD+vbt25jlxqXDOYYvvvgijz76KH/9619rHLPS0lIyMzMbtd54833Hr+q/K1eu5I477uCTTz7Btm26d+9OUVER7777Lscee2zsio8Dh/P62759O+eeey5NmzaladOmZGVlMW3aNGbPnp3yx+9Q9j+G9913Hy+88AJ9+/blqquuolu3bjz++OP84x//YP78+bRu3TrG1SaOaDTKMcccw3333UdRURH33Xcfc+fOpV+/fvX2OZIqAFa59NJLefXVV/H7/cyePZsf/ehHsS4pppYuXcp9993H1q1b6d69O+eddx7nnnsuQHX4q/rvxo0bWbBgAbNnzyY/P58LLriAnj17xvgriK3DOX77++ijjxg4cCBNmzbl7bffTvk/PuDwj2E0GqW0tJQmTZoA2n+tyuEcv6pfxDt37uSrr77i9ddfp0OHDvTv35+uXbvG+CuIrcM5flWvtWXLlvHnP/+Z9evX07FjR2666SZ69eoV468g9g72s67K/iHw+eefZ/r06bz66qsUFBRQUlLCtGnTOO644xqz3Lj0fcfwu2zb5tRTT2X37t2sX7++3sMfJEAAXL16NS+88AKRSIR27dpx4403Vt9X9Q373V8SP/3pT5k6dSqLFi2ioKAgFmXHjRUrVtC/f3/OPvtsOnXqxOuvv47f72fgwIE8/PDDQEXLMhAI6JftQRzJ8auyfv16Lr30Up577jl69+4dq9LjxuEcw3A4XD3pC9q4eH+1eQ3Kt47k+FW97srKykhPTycajdZYg5WqVq5cycyZMxk1alT1uufvqurAQcUZ+3Xr1uHxeMjLy6NVq1aNWW5cOpxjuP/v4LKyMoYMGcLKlSt599136dOnT/0X1WAbzNSDoqIik5OTY4YNG2ZOPfVUk5ubawYMGGBmz55totGoMabmvkxlZWXGGGNWrFihfcNMxZ5ft99+u7n00kurbyspKTH33HOPOfbYY821115b4/HTp08327Zta+wy49aRHr8ZM2aYLVu2GGOMKS8vb9Ra41VtjuH27dsbu8y4peNXN3X9Gah9E41ZtWqVadasmbEsy4wbN87s2LHjgMfoOH2/2h7D559/3qxYsaLB6orbAFheXm6GDx9e/Q0aiUTMtm3bTN++fc3xxx9vZs6cWSP8jR071owdO7Y6BEqFq666ygwaNKjGbSUlJeaPf/yj6devn5k8ebIxxpjXXnvNtG/f3txxxx3a7HQ/R3r8br/9dmPbtn4g7kevwbrR8asbHb/a27dvn7n66qvNVVddZf76178ay7LMLbfcctAAY4wxDz74oJk0aVIjVxnfanMM77777kapLW57LMFgkH379lWfKrUsi5YtWzJ37lwyMzMZP358jS1L2rdvz3PPPVdj+5dUZio7+8cffzyO47BixYrq+7Kzs7n66qs57rjjmDlzJpFIhHPPPZerr76aq6++Wq03an/8rrnmGrxer1rp6DVYVzp+daPjV3cej4e+ffty1lln8etf/5qXXnqJP/7xjzz44IN88803NR67a9cuFixYwKxZs9i1a1eMKo4/tTmGr7/+Ojt37mz44holZtaC4zjm9NNPr3EpsnA4bIypaPV26tTJ/PjHP67xMbt3727MEhPC6tWrTfPmzc3VV19t9u7da4z59lTzxo0bjWVZZubMmbEsMa7p+NWdjmHd6PjVjY5f3ezbt6/G+y+99JKxLMvcfPPN5ptvvjHGGGPbttm9e7fZuXOn2bx5cyzKjGvxegzjMgBWfXPOnj3bZGZmmoceeqj6vlAoZIwxZubMmaZdu3Zm+fLlarf9gNmzZ5tgMGhuuOGGGqedt2zZYo455pga1wGWA+n41Z2OYd3o+NWNjl/d7b+05R//+Ed1K/Prr782o0ePNiNGjNDa5x8Qb8cwLnf3rWqf9evXj9GjR/Poo4/i9/v5zW9+U70pYlpaGmlpaTUutyUHd/rpp/Pvf/+bSy65hC1btnDppZfSp08fXnjhBbZv305+fn6sS4xrOn51p2NYNzp+daPjV3dVW+W4rstPfvITLMvipz/9Ka+++ipr1qzh008/rTHJLweKt2MYt9vAVI2Ur1mzhscee4ypU6fyi1/8gltuuQXbtnn44YeZPn06c+bMIS8vL9blJoTPP/+csWPHsn79enw+H16vl5deekn7Mx0mHb+60zGsGx2/utHxq7uqyGBZFoMHD2bhwoXMmTOHo48+OsaVJY54OYZxGQCrNktcv3498+fPp3///sycOZM77riDnJwccnJy2LlzJ7NmzdImu0eopKSEXbt2sXfvXtq0aUPz5s1jXVJC0fGrOx3DutHxqxsdv7pzHIdbbrmFKVOmsHDhwobZoy7JxcMxjLsAWHXmb/369XTv3p1Ro0bx/PPPA7B582bmzp1LVlYWffr0oUOHDjGuVkREJLU4jsNzzz1H3759dYm8WoqHYxhXAXD/8Hf88cdz4YUX8sQTT+D3+3VlABERkThhdOWoOov1MYybAPjd8HfBBRfwzDPPVF9aRkRERETqR1ycUnMcR+FPREREpJHERQD0er1s2LCBgoICRowYwf/+7/8q/ImIiIg0kLhoATuOwy9/+Ussy+KJJ55Q+BMRERFpQHERAAF2795Nbm6uBj1EREREGljcBEARERERaRw63SYiIiKSYhQARURERFKMAqCIiIhIilEAFBEREUkxCoAiIiIiKUYBUERERCTFKACKiIiIpBgFQBEREZEUowAoIiIikmIUAEVEGkinTp2YMmVKg36OOXPmYFkWe/bsadDPIyLJxRfrAkREktX8+fPJzMyMdRkiIgdQABQROUKRSIRAIPCDj2vRokUjVCMicuTUAhaRlPDyyy9z9NFHk56eTl5eHkOGDKG0tJTTTjuN0aNH13jsiBEjuOqqq6rf79SpE7///e+58sorycnJ4Ze//CUnnXQSt956a42P27FjB36/n7lz51Z/XFULeNSoUfz4xz+u8fhoNErz5s154YUXAHBdl8mTJ9O5c2fS09M55phjePnll2t8zH/+8x+OOuoo0tPTOf3001m/fn3dD46IpBwFQBFJelu2bOGyyy7j6quvZtmyZcyZM4eLLroIY8xhP8cf//hHjjnmGL744gvuuusuLr/8cl566aUaz/HPf/6Ttm3bcsoppxzw8ZdffjkzZ85k37591be9+eabhEIhLrzwQgAmT57MCy+8wBNPPMGSJUsYM2YMV1xxBe+//z4AmzZt4qKLLuL8889n4cKF/OIXv+C2226r7WERkRSmFrCIJL0tW7Zg2zYXXXQRHTt2BODoo48+ouc444wz+J//+Z/q9y+99FJGjx7NBx98UB34pk6dymWXXYZlWQd8/LBhw8jMzGTatGn89Kc/rX78BRdcQHZ2NuFwmPvuu4933nmHAQMGANClSxc++OADnnzySU499VQef/xxunbtyp/+9CcAevToweLFi3nggQeO/KCISErTGUARSXrHHHMMgwcP5uijj+aSSy7h6aefZvfu3Uf0HP369avxfosWLRg6dCgvvvgiAOvWrWPevHlcfvnlB/14n8/HpZdeWv340tJSZsyYUf341atXEwqFOPPMM8nKyqp+e+GFF1izZg0Ay5Yto3///jWetyosiogcCZ0BFJGk5/V6efvtt/noo4946623ePTRR7njjjv45JNP8Hg8B7SCo9HoAc9xsGneyy+/nN/+9rc8+uijTJ06laOPPvp7zyxefvnlnHrqqWzfvp23336b9PR0zjrrLIDq1vCsWbNo165djY8LBoNH/DWLiHwfnQEUkZRgWRYnn3wyEydO5IsvviAQCDBt2jRatGjBli1bqh/nOA5FRUWH9ZzDhw+nvLycN954g6lTpx7y7F+Vk046ifz8fP75z3/y4osvcskll+D3+wHo3bs3wWCQjRs30q1btxpv+fn5APTq1YtPP/20xnN+/PHHR3IYREQAnQEUkRTwySef8O677zJ06FBatmzJJ598wo4dO+jVqxeZmZmMHTuWWbNm0bVrVx566KHD3lQ5MzOTESNGcNddd7Fs2TIuu+yyH/yYUaNG8cQTT7By5Uree++96tuzs7O5+eabGTNmDK7rMnDgQIqLi/nwww/JycnhZz/7Gddddx1/+tOfuOWWW/jFL37BggULeO6552p5VEQklSkAikjSy8nJYe7cuUyZMoWSkhI6duzIn/70J84++2yi0ShffvklV155JT6fjzFjxnD66acf9nNffvnlnHPOOQwaNIgOHToc1uPvvfdeOnbsyMknn1zjvt///ve0aNGCyZMns3btWpo0acLxxx/P7bffDkCHDh34v//7P8aMGcOjjz7KCSecwH333cfVV199ZAdERFKeZY5kHwQRERERSXhaAygiIiKSYhQARURERFKMAqCIiIhIilEAFBEREUkxCoAiIiIiKUYBUERERCTFKACKiIiIpBgFQBEREZEUowAoIiIikmIUAEVERERSjAKgiIiISIpRABQRERFJMQqAIiIiIilGAVBEREQkxSgAioiIiKQYBUARERGRFKMAKCIiIpJi/j9nrZk3A9FrCAAAAABJRU5ErkJggg=="
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",
+      "text/plain": [
+       "<safeds.data.image.containers._image.Image at 0x215e7778a70>"
+      ]
      },
      "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 5
+   "source": [
+    "titanic_numerical.plot.line_plot(\"survived\", [\"fare\"])"
+   ]
   },
   {
    "cell_type": "markdown",
-   "source": [
-    "We can conclude that survivors paid around twice as much for their ticket as non-survivors."
-   ],
    "metadata": {
     "collapsed": false
-   }
+   },
+   "source": [
+    "We can conclude that survivors paid around twice as much for their ticket as non-survivors."
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false
+   },
    "source": [
     "## Boxplot\n",
     "\n",
@@ -201,82 +242,86 @@
     "\n",
     "* It displays the minimum, first quartile (25th percentile), median (50th percentile), third quartile (75th percentile), and maximum values.\n",
     "* It also shows any potential outliers in the data."
-   ],
-   "metadata": {
-    "collapsed": false
-   }
+   ]
   },
   {
    "cell_type": "code",
-   "source": [
-    "titanic_numerical.get_column(\"age\").plot.box_plot()"
-   ],
+   "execution_count": 6,
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2024-06-20T18:48:42.662529500Z",
      "start_time": "2024-06-20T18:48:42.586133100Z"
-    }
+    },
+    "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "<safeds.data.image.containers._image.Image at 0x2bdff5e7610>",
-      "image/png": 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"
+      "image/png": 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",
+      "text/plain": [
+       "<safeds.data.image.containers._image.Image at 0x215e7a2d9d0>"
+      ]
      },
      "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 6
+   "source": [
+    "titanic_numerical.get_column(\"age\").plot.box_plot()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false
+   },
    "source": [
     "* The above boxplot depicts the `age` range from 0 to 80 including outliers. It can be deduced that the middle 50% of passengers were between the ages of 20 and 40, because this is where the box lies and is less influenced by outliers.\n",
     "* Moreover, the boxplot clearly depicts outliers which are the dots found above the T-shaped whisker. It can further be deduced with the help of the median that half of the passengers were aged below 28 years and the other half were above 28 years."
-   ],
-   "metadata": {
-    "collapsed": false
-   }
+   ]
   },
   {
    "cell_type": "markdown",
-   "source": [
-    "## Boxplot of all numerical columns"
-   ],
    "metadata": {
     "collapsed": false
-   }
+   },
+   "source": [
+    "## Boxplot of all numerical columns"
+   ]
   },
   {
    "cell_type": "code",
-   "source": [
-    "titanic_numerical.plot.box_plots()"
-   ],
+   "execution_count": 7,
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2024-06-20T18:48:43.237603700Z",
      "start_time": "2024-06-20T18:48:42.659478500Z"
-    }
+    },
+    "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "<safeds.data.image.containers._image.Image at 0x2bdff5fbd10>",
-      "image/png": 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"
+      "image/png": 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Xo23btti/fz+mTJmCd955Bxs3bgQAZGZmAgDs7e2VtrO3t5fWVaWoqAi5ublKHyJdVltbqwrbERERAY1wC7i8vBzdu3fHokWLAABdu3bFhQsXsGbNGowbN+6J9xseHo6PP/5YVWESNXtP0tbYjoiICGiEHkBHR0d4eXkplXl6eiItLQ0A4ODgAADIyspSqpOVlSWtq0pYWBhycnKkz/Xr11UcOVHzUltbqwrbERERAY3QA9i3b18kJycrlV2+fBmurq4AHg5Sd3BwQExMDLp06QIAyM3NxcmTJzFlypRq9yuXyyGXy1UdLlGzVVtbqwrbERERAY3QAxgSEoITJ05g0aJFuHr1KqKiorB27VoEBQUBAGQyGaZNm4aFCxfip59+QkJCAsaOHQsnJycEBgaqOhwirVVbWyMiIqqOynsAe/TogejoaISFhWH+/Plwd3fHihUrMGrUKKnOjBkzUFBQgDfffBP37t3DM888g3379sHY2FjV4RBprbq0NSIioqrIhBBC00E8idzcXFhaWiInJwcKhULT4TQrZ8+ehY+PD+Lj49GtWzdNh9OsaNt5p23HQ82DNp132nQs1Lw09Nzju4CJiIiIdAwTQCIiIiIdwwSQiIiISMeofBIIERERUW2Ki4uxatUqpKSkoE2bNnj77bdhZGSk6bB0BnsAiYhIp924cQOjR4+GjY0NTExM4O3tjTNnzmg6LK02Y8YMmJmZISQkBF999RVCQkJgZmaGGTNmaDo0ncEEkIiIdNbdu3fRt29fGBoa4pdffsGlS5ewdOlStGjRQtOhaa0ZM2Zg8eLFsLGxwbp165CRkYF169bBxsYGixcvZhKoJrwFTEREOuuzzz6Ds7MzNmzYIJW5u7trMCLtVlxcjOXLl8Pe3h7//PMPDAwepiGTJk3C+PHj0bp1ayxfvhwLFy7k7eBGxh5AIiLSWT/99BO6d++OV199FXZ2dujatSvWrVtXbf2ioiLk5uYqfajuVq1ahdLSUixcuFBK/ioYGBhg/vz5KC0txapVqzQUoe5gAkhERDrrr7/+wurVq9G2bVvs378fU6ZMwTvvvIONGzdWWT88PByWlpbSx9nZWc0RN28pKSkAgKFDh1a5vqK8oh41HiaARESks8rLy9GtWzcsWrQIXbt2xZtvvonJkydjzZo1VdYPCwtDTk6O9Ll+/bqaI27e2rRpAwDYvXt3lesryivqUeNhAkhERDrL0dERXl5eSmWenp5IS0ursr5cLodCoVD6UN29/fbbMDAwwKxZs1BaWqq0rrS0FHPmzIGBgQHefvttDUWoO5gAEhHV0507d+Dt7Q0bGxt4e3vjzp07mg6JnlDfvn2RnJysVHb58mW4urpqKCLtZmRkhJCQEGRlZaF169ZYu3Yt0tPTsXbtWrRu3RpZWVkICQnhBBA14CxgIqJ6cHBwQFZWlrR8584d2NjYwN7eHpmZmRqMjJ5ESEgI+vTpg0WLFuG1117DqVOnsHbtWqxdu1bToWmtzz//HACwfPly/N///Z9UbmBggOnTp0vrqXGxB5CIqI4eTf569+6NmJgY9O7dGwCQlZUFBwcHTYZHT6BHjx6Ijo7Gd999h44dO2LBggVYsWIFRo0apenQtNrnn3+OgoICLF++HMHBwVi+fDkKCgqY/KkRewCJiOrgzp07UvKXl5cHc3NzAEBcXBzy8/NhYWGBrKws3LlzB9bW1poMlepp6NCh1c5KpcZjZGSEadOmaToMncUeQCKiOujfvz+Ahz1/FclfBXNzc/Ts2VOpHhFRU8YEkIioDtLT0wEAn3zySZXr58+fr1SPiKgpYwJIRFQHTk5OAICPPvqoyvVz5sxRqkdE1JQxASQiqoPDhw8DAE6cOIH8/Hyldfn5+Th16pRSPSKipowJIBFRHVhbW8Pe3h4AYGFhgV69emH//v3o1asXLCwsAAD29vacAEJEzQJnARMR1VFmZqb0KJhTp07hhRdekNbxOYBE1JywB5CIqB4yMzNx+/ZtdOzYEdbW1ujYsSNu377N5I+ImhX2ABIR1ZO1tTUSEhI0HQYR0RNjDyARERGpHd+prVnsASQiIiK14ju1NY89gERERKQ2fKd208AeQCIiIlILvlO76WAPIBEREakF36nddDABJCIiIrXgO7WbDiaAREREpBZ8p3bTwQSQiIiI1ILv1G46mAASERGRWvCd2k0HZwETERGR2vCd2k0DewCJtMSnn34KmUyGadOmaToUrXfo0CHIZDLpc+jQIU2HRNSs8J3amtfoCWBVF6UHDx4gKCgINjY2MDc3x/Dhw5WeCE5E9XP69Gl8/fXX6NSpk6ZD0XoymQzPP/+8Utnzzz8PmUymoYiImqeKd2rfvn0bCQkJvO2rZo2aAFZ3UQoJCcHPP/+Mbdu24fDhw0hPT8fLL7/cmKEQaa38/HyMGjUK69atQ4sWLTQdjlZ7PMl76aWXalxPRNRUNVoCWN1FKScnB+vXr8eyZcswcOBA+Pj4YMOGDTh+/DhOnDjRWOEQaa2goCAMGTIEfn5+mg5Fqz16mzchIQFCCOzcuRNCCCQkJFRZj4ioqWq0BLC6i1J8fDxKSkqUyj08PODi4oK4uLhq91dUVITc3FylD5Gu+/7773H27FmEh4fXqT7b0ZN79LZvx44dldY9uvz47WEioqaoURLAmi5KmZmZMDIygpWVlVJ5bTN/wsPDYWlpKX2cnZ1VHTZRs3L9+nW8++672LJlC4yNjeu0DdtRwz1+27fCv/71LzVHQkT05FT+GJiKi9LBgwfrfFGqi7CwMISGhkrLubm5vHg9Ii0tDdnZ2XWqm5iYqPRnXdja2sLFxeWJYqPGER8fj5s3b6Jbt25SWVlZGY4cOYKvvvoKRUVF0NfXV9qG7ajhoqOjqyzfu3evmiMhInpyKk8Aa7so7d+/H8XFxbh3755SL2BWVhYcHByq3a9cLodcLld1uFohLS0N7T088aDwfr22Gz16dJ3rGpuYIjkpkUlgE/L8888rjT0DgAkTJsDDwwMzZ86slPwBbEcNERMTI93evXDhgtJt3wsXLijVIyJq6lSeANZ2UXJ2doahoSFiYmIwfPhwAEBycjLS0tLg6+ur6nB0QnZ2Nh4U3ofN0PdgaFN7b44oLUZpThYMLO0hMzCqtX7J7eu4vXspsrOzmQA2IRYWFpXGopmZmcHGxqZSOTXcwIEDpZ+9vb0BPLzt+3jP36P1iIiaKpUngHW5KE2cOBGhoaGwtraGQqHA1KlT4evri969e6s6HJ1iaOMMucPTdavc2qtxgyHSQkIIpUe9PJ78CSHUHRIR0RPRyJtAli9fjqFDh2L48OF49tln4eDggJ07d2oiFCKtEhsbixUrVmg6DK0mhKh0mzcmJobJn5bgG3XU586dO/D29oaNjQ28vb1x584dTYekU9TyLuDY2FilZWNjY0RERCAiIkIdX09EpFIDBw5kwqeF+EYd9al4F3CFO3fuwMbGhu8CViO+C5iIiHQe36ijPo8mf71790ZMTIw0BKy2CaGkOkwAiYhI5/GNOupx584dKfnLy8tDXFwcBg4ciLi4OOTl5QF4mATydnDjU8stYCIioqaq4uUFp0+frrVuUVERioqKpGW+Tad++vfvD+Bhz5+5ubnSOnNzc/Ts2ROnTp1C//79Kz1RhFSLPYBERKSz6vtGHb5Np2HS09MBAJ988kmV6+fPn69UjxoPE0AiItJZj768wMDAAAYGBjh8+DC+/PJLGBgYoKysTKl+WFgYcnJypM/169c1FHnz5OTkBAD46KOPqlw/Z84cpXrUeHgLmIiIdFZ936jDt+k0zOHDh2FjY4MTJ04gPz9f6TZwfn4+Tp06JdWjxsUeQCIi0lkVLy949MM36jQea2tr2NvbA3j4d9+rVy/s378fvXr1goWFBQDA3t4e1tbWmgxTJ7AHkIiIiNQmMzNTehTMqVOn8MILL0jr+BxA9WECSERE9IjHX15AqpeZmYk7d+6gf//+SE9Ph5OTEw4fPsyePzViAkhERERqZ21tzUe9aBDHABIR1dOxY8cgk8mkz7FjxzQdEhFRvbAHkIioHmQyWaWyfv36AQDfD0xEzQZ7AImI6ujx5G/UqFE1riciaqqYABIR1cGjt3kTExMhhMDmzZshhEBiYmKV9YiImiomgEREdVBxmxcAPDw8lNY9uvxoPSKipooJIBFRPTx+27fC8OHD1RwJEdGTYwJIRFQPW7ZsqbJ8x44dao6EiOjJMQEkIqqDo0ePSj8nJSUprXt0+dF6RFS9ijeCGBsbw8HBgW8AUTM+BkZLOJjL4G2UDkOZfu2V66nEKB0w5+xG0m3PPPOM9LOnpyeAh7d9H+/5e7QeEVXNzMwM9+/fl5azsrLg6OgIU1NTFBQUaDAy3cEEUEv8n48R5jmtaZydOwHzfIwaZ99EzYgQQulRL48nf3wOIFHtHk3+3N3d8fnnn2PGjBlITU3F/fv3YWZmxiRQDZgAaomv44txvN27MLRxVvm+S25fR0L8Yvxb5Xsman6EEDh27JjSbN+jR4+y54+oDjIzM6Xk7+7du7CysgIAvPLKK7h37x5atGiB+/fvS7eHqfEwAdQSmfkCKHaCXLirfN9FxWUP909EAB7e5mVvH1H9denSBcDDnr+K5K+ClZUVXF1d8ffff6NLly4cE9jIOAmEiIiI1OLevXsAgM8//7zK9YsWLVKqR42HCSARERGpRUWv34wZM6pc/+GHHyrVo8bDBJCIiIjU4ty5cwCA1NTUSr189+7dw99//61UjxoPE0AiIiJSCwcHB5iamgIAWrRoATc3N0RFRcHNzQ0tWrQAAJiamnICiBpwEggRERGpTUFBgfQomL///lvp9Yp8DqD6sAeQiIiI1KqgoAAZGRmwt7eHXC6Hvb09MjIymPypEXsAiYiISO34+jfNYg8gERERkY5hAkhERESkY5gAEhEREekYJoBEzVR4eDh69OgBCwsL2NnZITAwEMnJyZoOi4iImoFGSQDrcmF68OABgoKCYGNjA3NzcwwfPhxZWVmNEQ6RVjp8+DCCgoJw4sQJHDx4ECUlJRg8eDBn0RERUa0aZRZwxYWpR48eKC0txYcffojBgwfj0qVLMDMzAwCEhIRgz5492LZtGywtLREcHIyXX34Zv//+e2OEpBNKbl+vUz1RWozSnCwYWNpDZmCksv2Seu3bt09pOTIyEnZ2doiPj8ezzz6roaiIiKg5aJQEsLYLU05ODtavX4+oqCgMHDgQALBhwwZ4enrixIkT6N27d2OEpbVsbW1hbGKK27uXNtp3GJuYwtbWttH2Tw2Xk5MDALC2ttZwJERE1NSp5TmAj1+Y4uPjUVJSAj8/P6mOh4cHXFxcEBcXV2UCWFRUhKKiImk5Nze3kaNuPlxcXJCclIjs7Ow61U9MTMTo0aOxefNmeHp61mkbW1tbuLi4NCRMakTl5eWYNm0a+vbti44dO1Zbj+2o/u7fv4+kpKRK5YWFhbh27Rrc3NxgYmJSab2Hh4f0yisioqam0RPAqi5MmZmZMDIygpWVlVJde3v7ah8KGR4ejo8//rixw222XFxc6p2geXp6olu3bo0UEalTUFAQLly4gGPHjtVYj+2o/pKSkuDj41Pv7eLj49m+moHw8HDs3LkTSUlJMDExQZ8+ffDZZ5+hffv2mg5N63Xo0AGXLl2Slr28vHDx4kUNRqRbGj0BrOuFqTZhYWEIDQ2VlnNzc+Hs7NzQ8IiaveDgYOzevRtHjhxB69ata6zLdlR/Hh4eiI+Pr1ReW0+6h4eHOsKjBqrLmHVSPZlMVqns0qVLkMlkEEJoICLd06gJYHUXJgcHBxQXF+PevXtKvYBZWVlwcHCocl9yuRxyubwxwyVqVoQQmDp1KqKjoxEbGwt3d/dat2E7qj9TU9Mae/LYk968cTKV+lWV/D2+nklg42uUx8AIIRAcHIzo6GgcOnSo0oXJx8cHhoaGiImJkcqSk5ORlpYGX1/fxgiJSOsEBQVh8+bNiIqKgoWFBTIzM5GZmYnCwkJNh0bUbHEyVePq0KGD9PO///1vCCGkz7///e8q61HjaJQewKCgIERFReHHH3+ULkwAYGlpCRMTE1haWmLixIkIDQ2FtbU1FAoFpk6dCl9fX84AJqqj1atXAwAGDBigVL5hwwaMHz9e/QERNXN1mUzFiVQN8+iYvx9//FFp3Y8//ij1Dj5ajxpHoySAdbkwLV++HHp6ehg+fDiKiorg7++PVatWNUY4RFqJt0iIVKsuY9Y5kYq0RaMkgHW5MBkbGyMiIgIRERGNEQIREVGd1XUyFSdSkbbgu4CJiEhn1TZm/XFyuRwKhULpQ3Xn5eUl/Txs2DCldY8uP1qPGodaHgRNRETUFNU2Zp1U6+LFi9I4v59++qnaGcF8HmDjYw8gERHprNWrVyMnJwcDBgyAo6Oj9Nm6daumQ9NatQ0T4/hm9WAPIBER6SwmG5ohhOCbQDSMCSARERGpHZM9zeItYCIiIiIdwwSQiIiISMcwASQiIiLSMUwAiYiIiHQME0AiIiIiHcMEkIiIiEjHMAEkIiIi0jF8DiARERGpXVWvgeODudWHPYBERESkVtW9A7i6clI99gASEf1/aWlpyM7OrlPdxMREpT/rwtbWFi4uLk8UG5G2qC3Jk8lk7AlUAyaARER4mPy19/DEg8L79dpu9OjRda5rbGKK5KREJoGksx5N/lq2bImbN29Ky3Z2drh165ZUj0lg42ICSEQEIDs7Gw8K78Nm6HswtHGutb4oLUZpThYMLO0hMzCqtX7J7eu4vXspsrOzmQASAUrJX8UybwGrDxNAIqJHGNo4Q+7wdN0qt/Zq3GCIiBoJJ4EQERER6RgmgERERKR2dnZ2NS5T4+ItYCIiIlILIYQ0zu/WrVvVjvnjBJDGxx5AIiIiUpvakjsmf+rBBJCIiIjUqrokj8mf+vAWMBEREakdkz3NYg8gERERkY5hAkhERESkY5gAEhEREekYJoBEREREOoYJIBEREZGOYQJIREREpGOYABIRERHpGCaARERERDqGCSBRMxcREQE3NzcYGxujV69eOHXqlKZDImp22I5I12g0AWSDI2qYrVu3IjQ0FHPnzsXZs2fRuXNn+Pv74+bNm5oOjajZYDsiXaSxBJANjqjhli1bhsmTJ2PChAnw8vLCmjVrYGpqim+//VbToRE1G2xHpIs0lgCywRE1THFxMeLj4+Hn5yeV6enpwc/PD3FxcRqMjKj5YDsiXWWgiS+taHBhYWFSWW0NrqioCEVFRdJybm5uo8fZ3N2/fx9JSUmVyhMTE5X+fJyHhwdMTU0bNTZquOzsbJSVlcHe3l6p3N7evsp/d4DtqDYO5jJ43v8DBnfSpTJRVoKyvDv13pe+hTVk+obScun9LMBcppI4SXXq247YhmqXdfU87qQpX1/y8nLx558J9d5Xp07esLBQKJVZu3jC/unODYqRNJQAPsmFKzw8HB9//LE6wtMaSUlJ8PHxqXb96NGjqyyPj49Ht27dGiss0iC2o+rZ2toiqLcZZnlFN84XOAEL75rB1ta2cfZPasE2VLvEzTMwACcqlfd8kp39UbkoFr1hP2//k+yNHqGRBPBJhIWFITQ0VFrOzc2Fs7OzBiNq+jw8PBAfH1+pvLCwENeuXYObmxtMTEyq3I6aPltbW+jr6yMrK0upPCsrCw4ODlVuw3ZUPRcXF4xfGYvE9CtK5UVFRUhPT696oxo4OTlBLpcrlY1/vS1au7g0JExSsfq2I7ah2nmO/hyJjdgD6Oni2aD46CGNJIBPcuGSy+WV/jOlmpmamlbbk9e3b181R0OqZmRkBB8fH8TExCAwMBAAUF5ejpiYGAQHB1e5DdtRzVp7+AAelXvNu6g/FFKT+rYjtqHa2T/ducpbtD2HaSAYqpZGJoE82uAqVDQ4X19fTYRE1CyFhoZi3bp12LhxIxITEzFlyhQUFBRgwoQJmg6NqNlgOyJdpLFbwKGhoRg3bhy6d++Onj17YsWKFWxwRPU0YsQI3Lp1C3PmzEFmZia6dOmCffv2VRpfS0TVYzsiXSQTQghNfflXX32FxYsXSw3uyy+/RK9eveq0bW5uLiwtLZGTkwOFQlH7BkQqoG3nnbYdDzUP2nTeadOxUPPS0HNPo5NAgoODqx2rRERERESNg+8CJiIiItIxzeYxMI+ruHPNh3CSOlWcbxocOaFSbEekCdrUjtiGSFMa2o6abQKYl5cHAHz+EmlEXl4eLC0tNR1Gg7EdkSZpQztiGyJNe9J2pNFJIA1RXl6O9PR0WFhYQCbj65Xqo+LBpdevX+eg5XoSQiAvLw9OTk7Q02v+IyjYjp4c29GT06Z2xDbUMGxHT66h7ajZJoD05Dhrjajh2I6IGo7tSHOa969eRERERFRvTACJiIiIdAwTQB0kl8sxd+5cvs+SqAHYjogaju1IczgGkIiIiEjHsAeQiIiISMcwASQiIiLSMUwAiUjtxo8fj8DAQGl5wIABmDZtWo3buLm5YcWKFdKyTCbDrl27GiU+ImpaYmNjIZPJcO/evWrrzJs3D126dJGWH/9/pip1+b9HWzXbN4EQUfP1xRdfNPg1YBkZGWjRooWKIiKi+po3bx527dqFc+fOaToUAMD777+PqVOnajqMZoMJIBGpnSpe/+Xg4KCCSIh0ixACZWVlMDDQvsu/ubk5zM3NVbrP4uJiGBkZqXSfTQVvAWuRffv24ZlnnoGVlRVsbGwwdOhQpKSkSOuPHz+OLl26wNjYGN27d8euXbsgk8mUfnu7cOECXnzxRZibm8Pe3h5jxoxBdna2Bo6GtMH27dvh7e0NExMT2NjYwM/PDwUFBVXemiktLUVwcDAsLS1ha2uL2bNn19hL+Ogt4GvXrkEmk2Hnzp147rnnYGpqis6dOyMuLk5pm3Xr1sHZ2RmmpqZ46aWXsGzZMlhZWUnrz58/j+eeew4WFhZQKBTw8fHBmTNnaj3Ov//+GwEBAWjRogXMzMzQoUMH7N27F8D/bl3t2bMHnTp1grGxMXr37o0LFy4o7WPHjh3o0KED5HI53NzcsHTp0mqPt4KVlRUiIyMBPLxQBQcHw9HREcbGxnB1dUV4eLhU9969e5g0aRJatmwJhUKBgQMH4vz58w0+dmpcAwYMQHBwcLVt47///S+6d+8OCwsLODg44I033sDNmzel7SvOv19++QU+Pj6Qy+U4duwYysvLER4eDnd3d5iYmKBz587Yvn17pe1iYmLQvXt3mJqaok+fPkhOTgYAREZG4uOPP8b58+chk8kgk8kQGRkJIQTmzZsHFxcXyOVyODk54Z133qnTsRYVFWHmzJlwdnaGXC7H008/jfXr1yvViY+PrzIeoPIt4McVFBRg7NixMDc3h6OjY6U2BjwcarJgwQKMHTsWCoUCb775JgDg2LFj6NevH0xMTODs7Ix33nkHBQUFStstWrQI//nPf2BhYQEXFxesXbu2TsetMYK0xvbt28WOHTvElStXxB9//CECAgKEt7e3KCsrEzk5OcLa2lqMHj1aXLx4Uezdu1e0a9dOABB//PGHEEKIu3fvipYtW4qwsDCRmJgozp49KwYNGiSee+45zR4YNUvp6enCwMBALFu2TKSmpoo///xTREREiLy8PDFu3DgxbNgwqW7//v2Fubm5ePfdd0VSUpLYvHmzMDU1FWvXrpXquLq6iuXLl0vLAER0dLQQQojU1FQBQHh4eIjdu3eL5ORk8corrwhXV1dRUlIihBDi2LFjQk9PTyxevFgkJyeLiIgIYW1tLSwtLaV9dujQQYwePVokJiaKy5cvix9++EGcO3eu1mMdMmSIGDRokPjzzz9FSkqK+Pnnn8Xhw4eFEEL89ttvAoDw9PQUBw4cEH/++acYOnSocHNzE8XFxUIIIc6cOSP09PTE/PnzRXJystiwYYMwMTERGzZsqPJ4K1haWkp1Fi9eLJydncWRI0fEtWvXxNGjR0VUVJRU18/PTwQEBIjTp0+Ly5cvi/fee0/Y2NiI27dvN+jYqXHV1jbWr18v9u7dK1JSUkRcXJzw9fUVL774orR9xfnXqVMnceDAAXH16lVx+/ZtsXDhQuHh4SH27dsnUlJSxIYNG4RcLhexsbFK2/Xq1UvExsaKixcvin79+ok+ffoIIYS4f/++eO+990SHDh1ERkaGyMjIEPfv3xfbtm0TCoVC7N27V/z999/i5MmTSu24Jq+99ppwdnYWO3fuFCkpKeLXX38V33//fZ3iEUKIuXPnis6dO0vLj/8/M2XKFOHi4iJ+/fVXqR1aWFiId999V6rj6uoqFAqFWLJkibh69ar0MTMzE8uXLxeXL18Wv//+u+jatasYP3680nbW1tYiIiJCXLlyRYSHhws9PT2RlJRUt39oDWACqMVu3bolAIiEhASxevVqYWNjIwoLC6X169atU0oAFyxYIAYPHqy0j+vXrwsAIjk5WZ2hkxaIj48XAMS1a9cqrasqAfT09BTl5eVS2cyZM4Wnp6e0XJcE8JtvvpHWX7x4UQAQiYmJQgghRowYIYYMGaIUx6hRo5QSQAsLCxEZGVnvY/X29hbz5s2rcl3FhaviQiaEELdv3xYmJiZi69atQggh3njjDTFo0CCl7aZPny68vLyqPN4KjyaAU6dOFQMHDlT6O6xw9OhRoVAoxIMHD5TK27RpI77++mshxJMfOzWuurSNR50+fVoAEHl5eUKI/51/u3btkuo8ePBAmJqaiuPHjyttO3HiRDFy5Eil7X799Vdp/Z49ewQA6TryeMIlhBBLly4V7dq1k365qavk5GQBQBw8eLDK9U8Sz6P/z+Tl5QkjIyPxww8/SOsr2uHjCWBgYKDSd0+cOFG8+eabSmVHjx4Venp60ne7urqK0aNHS+vLy8uFnZ2dWL16dd3/EtSMt4C1yJUrVzBy5Eg89dRTUCgUcHNzAwCkpaUhOTlZuv1UoWfPnkrbnz9/Hr/99ps0jsLc3BweHh4AoHQrmaguOnfujOeffx7e3t549dVXsW7dOty9e7fa+r1794ZMJpOWfX19ceXKFZSVldX5Ozt16iT97OjoCADS7bDk5ORK5/zjy6GhoZg0aRL8/Pzw6aef1vm8f+edd7Bw4UL07dsXc+fOxZ9//lmpjq+vr/SztbU12rdvj8TERABAYmIi+vbtq1S/b9++9Tr+8ePH49y5c2jfvj3eeecdHDhwQFp3/vx55Ofnw8bGRql9p6amSsf4pMdOja+mthEfH4+AgAC4uLjAwsIC/fv3B/Dw//1Hde/eXfr56tWruH//PgYNGqR0PmzatKnSv3tNbaoqr776KgoLC/HUU09h8uTJiI6ORmlpaa3HeO7cOejr60vxV6e+8VRISUlBcXExevXqJZVVtMPHPfp3BTxsP5GRkUp/V/7+/igvL0dqamqVsclkMjg4ONQpNk1hAqhFAgICcOfOHaxbtw4nT57EyZMnATwcG1QX+fn5CAgIwLlz55Q+V65cwbPPPtuYoZMW0tfXx8GDB/HLL7/Ay8sLK1euRPv27ZX+w1Q1Q0ND6eeKC2Z5eXmdt583bx4uXryIIUOG4NChQ/Dy8kJ0dHSt202aNAl//fUXxowZg4SEBHTv3h0rV66s/wHUQCaTVRoTWVJSIv3crVs3pKamYsGCBSgsLMRrr72GV155BcDDtu3o6FipbScnJ2P69OkAnvzYSXMePHgAf39/KBQKbNmyBadPn5b+zR7/f9/MzEz6OT8/HwCwZ88epfPh0qVLSuMAgfq3KWdnZyQnJ2PVqlUwMTHB22+/jWeffVbpXK2KiYlJHY644W28Lh79uwIe/n393//9n9Lf1fnz53HlyhW0adOmytgq4lN1bKqkfdOAdNTt27eRnJyMdevWoV+/fgAeDlqt0L59e2zevBlFRUXSOxdPnz6ttI9u3bphx44dcHNz08oZYqR+MpkMffv2Rd++fTFnzhy4urpWm1RU/MJS4cSJE2jbti309fVVEkv79u0rnfOPLwNAu3bt0K5dO4SEhGDkyJHYsGEDXnrppVr37+zsjLfeegtvvfUWwsLCsG7dOqVHUpw4cQIuLi4AgLt37+Ly5cvw9PQEAHh6euL3339X2t/vv/+Odu3aScffsmVLZGRkSOuvXLmC+/fvK22jUCgwYsQIjBgxAq+88gpeeOEF3LlzB926dUNmZiYMDAykOwNVedJjp8ZVXdtISkrC7du38emnn8LZ2RkA6jRxx8vLC3K5HGlpabX2uNXEyMioyh5qExMTBAQEICAgAEFBQfDw8EBCQgK6detW7b68vb1RXl6Ow4cPw8/P74ljqk6bNm1gaGiIkydPVmqHtf0ddOvWDZcuXcLTTz+t8rg0iT2AWqJFixawsbHB2rVrcfXqVRw6dAihoaHS+jfeeAPl5eV48803kZiYiP3792PJkiUA/vdbVFBQEO7cuYORI0fi9OnTSElJwf79+zFhwoR63YYjAh5etBYtWoQzZ84gLS0NO3fuxK1bt6Sk53FpaWkIDQ1FcnIyvvvuO6xcuRLvvvuuyuKZOnUq9u7di2XLluHKlSv4+uuv8csvv0jnf2FhIYKDgxEbG4u///4bv//+O06fPl1tvI+aNm0a9u/fj9TUVJw9exa//fZbpe3mz5+PmJgYXLhwAePHj4etra00E/q9995DTEwMFixYgMuXL2Pjxo346quv8P7770vbDxw4EF999RX++OMPnDlzBm+99ZZSj8OyZcvw3XffISkpCZcvX8a2bdvg4OAAKysr+Pn5wdfXF4GBgThw4ACuXbuG48eP46OPPsKZM2cadOzU+KprGy4uLjAyMsLKlSvx119/4aeffsKCBQtq3Z+FhQXef/99hISEYOPGjUhJScHZs2excuVKbNy4sc5xubm5ITU1FefOnUN2djaKiooQGRmJ9evX48KFC/jrr7+wefNmmJiYwNXVtdZ9jRs3Dv/5z3+wa9cupKamIjY2Fj/88EOd46mJubk5Jk6ciOnTp+PQoUNSO9TTqz0NmjlzJo4fP47g4GDprtiPP/6I4OBglcSmMZoehEiqc/DgQeHp6Snkcrno1KmTiI2NVRo4/vvvv4tOnToJIyMj4ePjI6KiogQApVlKly9fFi+99JKwsrISJiYmwsPDQ0ybNq3KgeVENbl06ZLw9/cXLVu2FHK5XLRr106sXLlSCFH1JJC3335bvPXWW0KhUIgWLVqIDz/8UOm8q8skkIoJTUI8nNUOQPz2229S2dq1a0WrVq2EiYmJCAwMFAsXLhQODg5CCCGKiorE66+/LpydnYWRkZFwcnISwcHBShOnqhMcHCzatGkj5HK5aNmypRgzZozIzs4WQvxv8PrPP/8sOnToIIyMjETPnj3F+fPnlfaxfft24eXlJQwNDYWLi4tYvHix0vobN26IwYMHCzMzM9G2bVuxd+9epUkga9euFV26dBFmZmZCoVCI559/Xpw9e1baPjc3V0ydOlU4OTkJQ0ND4ezsLEaNGiXS0tIadOzUuGprG1FRUcLNzU3I5XLh6+srfvrpJ6W2UHH+3b17V2m/5eXlYsWKFaJ9+/bC0NBQtGzZUvj7+1eavf7odn/88YcAIFJTU4UQDyeTDB8+XFhZWQkAYsOGDSI6Olr06tVLKBQKYWZmJnr37q00caMmhYWFIiQkRDg6OgojIyPx9NNPi2+//bbO8dQ2CzgvL0+MHj1amJqaCnt7e/H555+L/v37V5oE8uj/MxVOnTolBg0aJMzNzYWZmZno1KmT+OSTT2rcrnPnzmLu3Ll1OnZNkAnRwMfxU7O1ZcsWTJgwATk5OXUef0GkTSZPnoykpCQcPXq00b4jNjYWzz33HO7evav0zEGiuhgwYAC6dOmi9BpEIlXgQC8dsmnTJjz11FNo1aoVzp8/j5kzZ+K1115j8kc6Y8mSJRg0aBDMzMzwyy+/YOPGjVi1apWmwyIiUjuOAdQhmZmZGD16NDw9PRESEoJXX3216T+pnEiFTp06hUGDBsHb2xtr1qzBl19+iUmTJtW6XcXbcar6LFq0SA2REzVvR48erbYNqfr1bVQ3vAVMRFSLGzduoLCwsMp11tbWsLa2VnNERM1LYWEhbty4Ue16bZth2xwwASQiIiLSMbwFTERERKRjmAASERER6RgmgEREREQ6hgkgERERkY5hAkhERESkY5gAEhEREekYJoBEREREOoYJIBEREZGOYQJIREREpGOYABIRERHpGCaARERERDqGCSARERGRjmECSKTDhBDIzc2FEELToZAO4XlHpHkGmg7gSZWXlyM9PR0WFhaQyWSaDod0hBACeXl5cHJygp5e8//9KTc3F1ZWVrh+/ToUCoWmwyEdkZubC2dnZ9y7dw+WlpaaDqdBeC0iTWno9ajZJoDp6elwdnbWdBiko65fv47WrVtrOowGy8vLAwC2JdKIvLy8Zp8A8lpEmvak16NmmwBaWFgAAHsuSK0qei4qzr/mju2INEGb2hHbEGlKQ9tRs00AK7raFQoFGx2pnbbc6mE7Ik3ShnbENkSa9qTtqPkPYiIiUrP8/Hy89NJL6NSpE1566SXk5+drOiQionppcAK4evVqdOrUSfrtx9fXF7/88kuN22zbtg0eHh4wNjaGt7c39u7d29AwiIjUomfPnrCwsMCuXbuQkJCAXbt2wcLCAj179tR0aDrvyJEjCAgIgJOTE2QyGXbt2lXrNrGxsejWrRvkcjmefvppREZGNnqcRE1BgxPA1q1b49NPP0V8fDzOnDmDgQMHYtiwYbh48WKV9Y8fP46RI0di4sSJ+OOPPxAYGIjAwEBcuHChoaEQETWqnj174vTp05DJZBgzZgzOnz+PMWPGQCaT4fTp00wCNaygoACdO3dGREREneqnpqZiyJAheO6553Du3DlMmzYNkyZNwv79+xs5UiLNk4lGeBCTtbU1Fi9ejIkTJ1ZaN2LECBQUFGD37t1SWe/evdGlSxesWbOmzt+Rm5sLS0tL5OTkcNwFqY22nXfadjyNKT8/X3rUx/3792FsbCyte/DgAUxNTaXHMpibm2sw0qZPHeedTCZDdHQ0AgMDq60zc+ZM7NmzR6kD4vXXX8e9e/ewb9++On0P2xBpSkPPPZVOAikrK8O2bdtQUFAAX1/fKuvExcUhNDRUqczf37/WrvqioiIUFRVJy7m5uQ2OV5v8kxSPvPQrSmVFRUVIT0+v976cnJwgl8uVyiyc2qK1h0+DYiRqzsaMGQMAGD16tFLyBwDGxsZ44403sGXLFowZMwbR0dGaCJHqKS4uDn5+fkpl/v7+mDZtWrXb8FpUu7S0NGRnZyuVFRYW4tq1a/Xel5ubG0xMTJTKbG1t4eLi0pAQCSpKABMSEuDr64sHDx7A3Nwc0dHR8PLyqrJuZmYm7O3tlcrs7e2RmZlZ43eEh4fj448/VkW4WictLQ2bpg7ArL6V7+h3eZIdXq9ctPD3coxdf5GNTkXmzZtX6Xxu3749kpKSADzsUXrvvffw/fffo6ioCP7+/li1apVS20lLS8OUKVPw22+/wdzcHOPGjUN4eDgMDJrt5P4mLSUlBQDw/vvvV7k+NDQUW7ZskepR01fd9Sg3NxeFhYWVEg+A16LapKWlob2HJx4U3m+07zA2MUVyUiKvRw2kkitF+/btce7cOeTk5GD79u0YN24cDh8+XG0S+CTCwsKUeg4rnn9DQHZ2NiJOFOBQi7EwsPrff2airARleXfqvT99C2vI9A2l5dJ7WUg8sQn/ys5mg1OhDh064Ndff5WWH03cQkJCsGfPHmzbtg2WlpYIDg7Gyy+/jN9//x3Aw972IUOGwMHBAcePH0dGRgbGjh0LQ0NDLFq0SO3HogvatGmDhIQELFmyBJs2baq0ftmyZVI90l68FtUsOzsbDwrvw2boezC0+d/fiygtRmlOVr33Z2BpD5mBkbRccvs6bu9eimxejxpMJQmgkZERnn76aQCAj48PTp8+jS+++AJff/11pboODg7IylI+CbKysuDg4FDjd8jl8kq3Jel/MvMFYNoVcuunlVe0bPi+i4qvIjN/Y8N3REoMDAyqPO9zcnKwfv16REVFYeDAgQCADRs2wNPTEydOnEDv3r1x4MABXLp0Cb/++ivs7e3RpUsXLFiwADNnzsS8efNgZGRUab/UMP/9739hYWGBzZs3Y+3atZXGAEZFRUn1qHmo7nqkUCiq7P0DeC2qK0MbZ8gdHrsetVZdpxA1XKM8B7C8vFxpjMSjfH19ERMTo1R28ODBascMEmmrK1euwMnJCU899RRGjRqFtLQ0AEB8fDxKSkqUxiZ5eHjAxcUFcXFxAB6OXfL29la6feXv74/c3NxqZ+BTw5ibm6NHjx4QQsDU1BSjR4/G2bNnMXr0aGkCSI8ePTgBpBnh9Yh0WYN7AMPCwvDiiy/CxcUFeXl5iIqKQmxsrDSNfuzYsWjVqhXCw8MBAO+++y769++PpUuXYsiQIfj+++9x5swZrF27tqGhEDUbvXr1QmRkJNq3b4+MjAx8/PHH6NevHy5cuIDMzEwYGRnByspKaZtHx8pWN3apYl11OIC9YU6dOiU9CmbLli3YsmWLtK5Hjx44deqUBqOj/Px8XL16VVpOTU3FuXPnYG1tDRcXF4SFheHGjRvSLfy33noLX331FWbMmIH//Oc/OHToEH744Qfs2bNHU4dApDYNTgBv3ryJsWPHIiMjA5aWlujUqRP279+PQYMGAXg4IFRP738djX369EFUVBRmzZqFDz/8EG3btsWuXbvQsWPHhoZC1Gy8+OKL0s+dOnVCr1694Orqih9++KHaW0+qwAHsDXfq1Cnk5+djzJgxSElJQZs2bfDf//6XPX9NwJkzZ/Dcc89JyxVj9caNG4fIyEhkZGRIPe0A4O7ujj179iAkJARffPEFWrdujW+++Qb+/v5qj51I3RqcAK5fv77G9bGxsZXKXn31Vbz66qsN/WoirWFlZYV27drh6tWrGDRoEIqLi3Hv3j2lXsBHx8o6ODhU6m2qGMtU03haDmBXjYqnHVDTMmDAANT0aNuq3vIxYMAA/PHHH40YFVHTxHcBEzUB+fn5SElJgaOjI3x8fGBoaKg0Nik5ORlpaWnS2CRfX18kJCTg5s2bUp2DBw9CoVDUOPteLpdLr23ky+uJiHQXHxhGpAHvv/8+AgIC4OrqivT0dMydOxf6+voYOXIkLC0tMXHiRISGhsLa2hoKhQJTp06Fr68vevfuDQAYPHgwvLy8MGbMGHz++efIzMzErFmzEBQUxBmKRERUKyaARBrwzz//YOTIkbh9+zZatmyJZ555BidOnEDLlg+f27N8+XLo6elh+PDhSg+CrqCvr4/du3djypQp8PX1hZmZGcaNG4f58+dr6pCIiKgZYQJIpAHff/99jeuNjY0RERFR40vtXV1dsXfvXlWHRkREOoBjAImIiIh0DBNAIiIiIh3DBJCIiIhIxzABJCIiItIxTACJiIiIdAwTQCIiIiIdwwSQiIiISMcwASQiIiLSMUwAiYiIiHQME0AiIiIiHcMEkIiIiEjHMAEkIiIi0jFMAImIiIh0DBNAIiIiIh3DBJCIiIhIxzABJCIiItIxTACJiIiIdAwTQCIiIiIdwwSQiIiISMcwASQiIiLSMUwAiYhIa0RERMDNzQ3Gxsbo1asXTp06VWP9FStWoH379jAxMYGzszNCQkLw4MEDNUVLpDlMAImISCts3boVoaGhmDt3Ls6ePYvOnTvD398fN2/erLJ+VFQUPvjgA8ydOxeJiYlYv349tm7dig8//FDNkROpHxNAIiLSCsuWLcPkyZMxYcIEeHl5Yc2aNTA1NcW3335bZf3jx4+jb9++eOONN+Dm5obBgwdj5MiRtfYaEmkDJoBEGvbpp59CJpNh2rRpUtmDBw8QFBQEGxsbmJubY/jw4cjKylLaLi0tDUOGDIGpqSns7Owwffp0lJaWqjl6oqahuLgY8fHx8PPzk8r09PTg5+eHuLi4Krfp06cP4uPjpYTvr7/+wt69e/Gvf/1LLTETaZKBpgMg0mWnT5/G119/jU6dOimVh4SEYM+ePdi2bRssLS0RHByMl19+Gb///jsAoKysDEOGDIGDgwOOHz+OjIwMjB07FoaGhli0aJEmDoVIo7Kzs1FWVgZ7e3ulcnt7eyQlJVW5zRtvvIHs7Gw888wzEEKgtLQUb731Vo23gIuKilBUVCQt5+bmquYAiNSMPYBEGpKfn49Ro0Zh3bp1aNGihVSek5OD9evXY9myZRg4cCB8fHywYcMGHD9+HCdOnAAAHDhwAJcuXcLmzZvRpUsXvPjii1iwYAEiIiJQXFysqUMialZiY2OxaNEirFq1CmfPnsXOnTuxZ88eLFiwoNptwsPDYWlpKX2cnZ3VGDGR6jABJNKQoKAgDBkyROmWFQDEx8ejpKREqdzDwwMuLi7Sray4uDh4e3sr9Xb4+/sjNzcXFy9eVM8BEDUhtra20NfXrzRUIisrCw4ODlVuM3v2bIwZMwaTJk2Ct7c3XnrpJSxatAjh4eEoLy+vcpuwsDDk5ORIn+vXr6v8WIjUgbeAiTTg+++/x9mzZ3H69OlK6zIzM2FkZAQrKyulcnt7e2RmZkp1qrrVVbGuOrx9RdrKyMgIPj4+iImJQWBgIACgvLwcMTExCA4OrnKb+/fvQ09PuR9EX18fACCEqHIbuVwOuVyuusCJNIQJIJGaXb9+He+++y4OHjwIY2NjtX53eHg4Pv74Y7V+J5G6hIaGYty4cejevTt69uyJFStWoKCgABMmTAAAjB07Fq1atUJ4eDgAICAgAMuWLUPXrl3Rq1cvXL16FbNnz0ZAQICUCBJpqwbfAg4PD0ePHj1gYWEBOzs7BAYGIjk5ucZtIiMjIZPJlD7qvhASaUp8fDxu3ryJbt26wcDAAAYGBjh8+DC+/PJLGBgYwN7eHsXFxbh3757Sdo/eynJwcKjyVlfFuurw9hVpsxEjRmDJkiWYM2cOunTpgnPnzmHfvn1S73haWhoyMjKk+rNmzcJ7772HWbNmwcvLCxMnToS/vz++/vprTR0Ckdo0uAfw8OHDCAoKQo8ePVBaWooPP/wQgwcPxqVLl2BmZlbtdgqFQilRlMlkDQ2FqFl4/vnnkZCQoFQ2YcIEeHh4YObMmXB2doahoSFiYmIwfPhwAEBycjLS0tLg6+sLAPD19cUnn3yCmzdvws7ODgBw8OBBKBQKeHl5VfvdvH1F2i44OLjaW76xsbFKywYGBpg7dy7mzp2rhsiImpYGJ4D79u1TWo6MjISdnR3i4+Px7LPPVrudTCarsaeCSFtZWFigY8eOSmVmZmawsbGRyidOnIjQ0FBYW1tDoVBg6tSp8PX1Re/evQEAgwcPhpeXF8aMGYPPP/8cmZmZmDVrFoKCgpjgERFRrVQ+BjAnJwcAYG1tXWO9/Px8uLq6ory8HN26dcOiRYvQoUOHautz8DrpkuXLl0NPTw/Dhw9HUVER/P39sWrVKmm9vr4+du/ejSlTpsDX1xdmZmYYN24c5s+fr8GoiYiouVBpAlheXo5p06ahb9++lXo4HtW+fXt8++236NSpE3JycrBkyRL06dMHFy9eROvWravchoPXSZs9fmvK2NgYERERiIiIqHYbV1dX7N27t5EjIyIibaTS5wAGBQXhwoUL+P7772us5+vri7Fjx6JLly7o378/du7ciZYtW9Y48JaD14mIiIhUQ2U9gMHBwdi9ezeOHDlSbS9edQwNDdG1a1dcvXq12jocvE5ERESkGg3uARRCIDg4GNHR0Th06BDc3d3rvY+ysjIkJCTA0dGxoeEQERERUS0a3AMYFBSEqKgo/Pjjj7CwsJDeQmBpaQkTExMAlR++OX/+fPTu3RtPP/007t27h8WLF+Pvv//GpEmTGhoOEREREdWiwQng6tWrAQADBgxQKt+wYQPGjx8P4OHDNx993c7du3cxefJkZGZmokWLFvDx8cHx48drfH4ZEREREalGgxPA6t6X+KjHZzguX74cy5cvb+hXExEREdETUOksYCIiIiJq+pgAEhEREekYJoBEREREOoYJIBEREZGOYQJIREREpGOYABIRERHpGCaARERERDqGCSARERGRjmECSERERKRjmAASERER6RgmgEREREQ6hgkgERERkY5hAkhERESkY5gAEhEREekYJoBEREREOoYJIBERaY2IiAi4ubnB2NgYvXr1wqlTp2qsf+/ePQQFBcHR0RFyuRzt2rXD3r171RQtkeYYaDoAIiIiVdi6dStCQ0OxZs0a9OrVCytWrIC/vz+Sk5NhZ2dXqX5xcTEGDRoEOzs7bN++Ha1atcLff/8NKysr9QdPpGZMAImISCssW7YMkydPxoQJEwAAa9aswZ49e/Dtt9/igw8+qFT/22+/xZ07d3D8+HEYGhoCANzc3NQZMpHG8BYwkQasXr0anTp1gkKhgEKhgK+vL3755Rdp/YMHDxAUFAQbGxuYm5tj+PDhyMrKUtpHWloahgwZAlNTU9jZ2WH69OkoLS1V96EQNQnFxcWIj4+Hn5+fVKanpwc/Pz/ExcVVuc1PP/0EX19fBAUFwd7eHh07dsSiRYtQVlamrrCJNIYJIJEGtG7dGp9++ini4+Nx5swZDBw4EMOGDcPFixcBACEhIfj555+xbds2HD58GOnp6Xj55Zel7cvKyjBkyBAUFxfj+PHj2LhxIyIjIzFnzhxNHRKRRmVnZ6OsrAz29vZK5fb29sjMzKxym7/++gvbt29HWVkZ9u7di9mzZ2Pp0qVYuHBhtd9TVFSE3NxcpQ9Rc8QEkEgDAgIC8K9//Qtt27ZFu3bt8Mknn8Dc3BwnTpxATk4O1q9fj2XLlmHgwIHw8fHBhg0bcPz4cZw4cQIAcODAAVy6dAmbN29Gly5d8OKLL2LBggWIiIhAcXGxho+OqHkoLy+HnZ0d1q5dCx8fH4wYMQIfffQR1qxZU+024eHhsLS0lD7Ozs5qjJhIdZgAEmlYWVkZvv/+exQUFMDX1xfx8fEoKSlRupXl4eEBFxcX6VZWXFwcvL29lXo7/P39kZubK/UiVoW9F6StbG1toa+vX2moRFZWFhwcHKrcxtHREe3atYO+vr5U5unpiczMzGp/kQoLC0NOTo70uX79uuoOgkiNmAASaUhCQgLMzc0hl8vx1ltvITo6Gl5eXsjMzISRkVGlmYiP3srKzMys8lZXxbrqsPeCtJWRkRF8fHwQExMjlZWXlyMmJga+vr5VbtO3b19cvXoV5eXlUtnly5fh6OgIIyOjKreRy+XS2N2KD1FzxASQSEPat2+Pc+fO4eTJk5gyZQrGjRuHS5cuNep3sveCtFloaCjWrVuHjRs3IjExEVOmTEFBQYE0K3js2LEICwuT6k+ZMgV37tzBu+++i8uXL2PPnj1YtGgRgoKCNHUIRGrDx8AQaYiRkRGefvppAICPjw9Onz6NL774AiNGjEBxcTHu3bun1Av46K0sBweHSg+4rbj1Vd3tLuBh74VcLlfxkRA1DSNGjMCtW7cwZ84cZGZmokuXLti3b5/UO56WlgY9vf/1ezg7O2P//v0ICQlBp06d0KpVK7z77ruYOXOmpg6BSG2YABI1EeXl5SgqKoKPjw8MDQ0RExOD4cOHAwCSk5ORlpYm3cry9fXFJ598gps3b0oPuD148CAUCgW8vLw0dgxEmhYcHIzg4OAq18XGxlYq8/X1lSZXEekSJoBEGhAWFoYXX3wRLi4uyMvLQ1RUFGJjY7F//35YWlpi4sSJCA0NhbW1NRQKBaZOnQpfX1/07t0bADB48GB4eXlhzJgx+Pzzz5GZmYlZs2YhKCiIPXxERFQrJoBEGnDz5k2MHTsWGRkZsLS0RKdOnbB//34MGjQIALB8+XLo6elh+PDhKCoqgr+/P1atWiVtr6+vj927d2PKlCnw9fWFmZkZxo0bh/nz52vqkIiIqBlhAkikAevXr69xvbGxMSIiIhAREVFtHVdXV760noiInghnARMRERHpGCaARET1lJycDAMDA8hkMhgYGCA5OVnTIRER1QtvARMR1YNMJlNaLisrg4eHBwBACKGJkIiI6o09gEREdfRo8ieXy7Fw4UKlWdePJ4dERE1VgxPA8PBw9OjRAxYWFrCzs0NgYGCdbods27YNHh4eMDY2hre3NwezE1GT9uj/azdu3MCDBw/w0Ucf4cGDB7hx40aV9YiImqoGJ4CHDx9GUFAQTpw4gYMHD6KkpASDBw9GQUFBtdscP34cI0eOxMSJE/HHH38gMDAQgYGBuHDhQkPDISJqFB06dADwsOfPyclJaZ2Tk5PUE1hRj4ioKWtwArhv3z6MHz8eHTp0QOfOnREZGYm0tDTEx8dXu80XX3yBF154AdOnT4enpycWLFiAbt264auvvmpoOEREjaKsrAwAMHv2bBQWFiI4OBj+/v4IDg5GYWEhZsyYoVSPiKgpU/kkkJycHACAtbV1tXXi4uIQGhqqVObv749du3ZVu01RURGKioqk5dzc3IYFqoVKbl+vUz1RWozSnCwYWNpDZmCksv0SaTN9fX2UlZVh9uzZmDVrllR+4MABRERESOP/9PX1NRUiEVGdqTQBLC8vx7Rp09C3b1907Nix2nqZmZnSy7kr2NvbIzMzs9ptwsPD8fHHH6ssVm1ia2sLYxNT3N69tNG+w9jEFLa2to22f6Km7uLFi/Dw8JBm+n7wwQeYNGkSvvnmG3z66adS+cWLFzUZJhFRnag0AQwKCsKFCxdw7NgxVe4WwMN3pz7aa5ibmwtnZ2eVf09z5OLiguSkRGRnZ9epfmJiIkaPHo3NmzfD09OzTtvY2trCxcWlIWESNWuPn//Lly+HoaEhli9fXmM9IqKmSGUJYHBwMHbv3o0jR46gdevWNdZ1cHBAVlaWUllWVhYcHByq3UYul/Ml9zVwcXGp94XH09MT3bp1a6SIiLTL9OnTlZaLioqwYMGCKutxPDMRNXUNngQihEBwcDCio6Nx6NAhuLu717qNr68vYmJilMoOHjwIX1/fhoZDRNQorly5AgC4evUqkpKSpLF++vr6SEpKkh7/UlGPiKgpa3ACGBQUhM2bNyMqKgoWFhbIzMxEZmYmCgsLpTpjx45FWFiYtPzuu+9i3759WLp0KZKSkjBv3jycOXMGwcHBDQ2HiKhRtG3bFgDwzTffoH379igtLYUQAqWlpWjfvj3Wr1+vVI+IqClrcAK4evVq5OTkYMCAAXB0dJQ+W7duleqkpaUhIyNDWu7Tpw+ioqKwdu1adO7cGdu3b8euXbtqnDhCRKRJixcvBgAsW7YMt27dwjPPPAMXFxc888wzuHXrFlasWKFUj4ioKWvwGMC6vPsyNja2Utmrr76KV199taFfT0SkFiYmJhg2bBh+/PFH2NnZSeXXr1+XlocNGwYTExNNhUhEVGd8FzARUR3V9rYivs2IiJoLJoBERHWQk5ODlJSUGuukpKRID8MnImrKmAASEdXBkCFDpJ9lMhnGjBmD8+fPY8yYMdJbQB6vR0TUVKn8VXBERNooNTUVwMPk7/79+zA2NgYAbNq0CWvXroWpqSmEEFI9IqKmjD2ARER1UPFoKwcHB9y+fRvW1tYwNDSEtbU1bt++Lb3e8tFHYBERNVXsASQiqgNHR0fcvXsXGRkZSm87unv3rtKyo6OjJsIjIqoX9gASEdVBu3btlJYNDQ0RFhYGQ0PDGuuR+kVERMDNzQ3Gxsbo1asXTp06Vaftvv/+e8hkMgQGBjZugERNABNAIqI6+PTTT5WWS0pKEB4ejpKSkhrrkXpt3boVoaGhmDt3Ls6ePYvOnTvD398fN2/erHG7a9eu4f3330e/fv3UFCmRZjEBJNKA8PBw9OjRAxYWFrCzs0NgYKD0LtkKDx48QFBQEGxsbGBubo7hw4cjKytLqU5aWhqGDBkCU1NT2NnZYfr06SgtLVXnoeiMR99VLpPJYGtri5YtW8LW1lZpFjDfaa5Zy5Ytw+TJkzFhwgR4eXlhzZo1MDU1xbffflvtNmVlZRg1ahQ+/vhjPPXUU2qMlkhzmAASacDhw4cRFBSEEydO4ODBgygpKcHgwYNRUFAg1QkJCcHPP/+Mbdu24fDhw0hPT8fLL78srS8rK8OQIUNQXFyM48ePY+PGjYiMjMScOXM0cUhaLy8vDwDg5uYGIQSys7Nx69YtZGdnQwgBNzc3pXqkfsXFxYiPj4efn59UpqenBz8/P8TFxVW73fz582FnZ4eJEyeqI0yiJoGTQIg0YN++fUrLkZGRsLOzQ3x8PJ599lnk5ORg/fr1iIqKwsCBAwEAGzZsgKenJ06cOIHevXvjwIEDuHTpEn799VfY29ujS5cuWLBgAWbOnIl58+bByMhIE4emtSwsLHD37l0UFRUhLy8PY8aMQUpKCtq0aYP//ve/aNu2rVSPNCM7OxtlZWXSjOwK9vb2SEpKqnKbY8eOYf369Th37lydvqOoqAhFRUXScm5u7hPHS6RJ7AEkagIq3h5hbW0NAIiPj0dJSYlST4aHhwdcXFyknoy4uDh4e3srXez8/f2Rm5uLixcvqjF63ZCQkAAAyMjIQHFxMaKjo/Hnn38iOjoaxcXFyMzMVKpHTV9FIr9u3TrY2trWaZvw8HBYWlpKH2dn50aOkqhxMAEk0rDy8nJMmzYNffv2RceOHQEAmZmZMDIygpWVlVJde3t7KdHIzMyssqejYl1VioqKkJubq/ShumnVqpXUq2pjYwNHR0esX78ejo6OsLGxAQAYGRmhVatWmgxTp9na2kJfX7/SWNmsrCw4ODhUqp+SkoJr164hICAABgYGMDAwwKZNm/DTTz/BwMCgylf/hYWFIScnR/pcv3690Y6HqDExASTSsKCgIFy4cAHff/99o38Xey8apqioSEoCMzMzMWnSJCnZNjIyUro1SOpnZGQEHx8fxMTESGXl5eWIiYmpcnKOh4cHEhIScO7cOenz73//G8899xzOnTtXZfuQy+VQKBRKH6LmiAkgkQYFBwdj9+7d+O2335QeJuzg4IDi4mLcu3dPqf6jPRkODg5V9nRUrKsKey8arqioCP/88w9atGgBAwMDtGjRAv/88w+TvyYiNDQU69atw8aNG5GYmIgpU6agoKAAEyZMAACMHTsWYWFhAABjY2N07NhR6WNlZQULCwt07NiR42hJq3ESCJEGCCEwdepUREdHIzY2Fu7u7krrfXx8YGhoiJiYGAwfPhwAkJycjLS0NKknw9fXF5988glu3rwJOzs7AMDBgwehUCjg5eVV5ffK5XLI5fJGPDLd0KpVK9y5c0fTYVAVRowYgVu3bmHOnDnIzMxEly5dsG/fPml4RFpaGvT02PdBxASQSAOCgoIQFRWFH3/8ERYWFtJtREtLS5iYmMDS0hITJ05EaGgorK2toVAoMHXqVPj6+qJ3794AgMGDB8PLywtjxozB559/jszMTMyaNQtBQUFM8kinBQcHIzg4uMp1sbGxNW4bGRmp+oCImiAmgEQasHr1agDAgAEDlMo3bNiA8ePHAwCWL18OPT09DB8+HEVFRfD398eqVaukuvr6+ti9ezemTJkCX19fmJmZYdy4cZg/f766DoOIiJopJoBEGiCEqLWOsbExIiIiEBERUW0dV1dX7N27V5WhERGRDuBACCIiIiIdwwSQiKie8vPz8dJLL6FTp0546aWXkJ+fr+mQiIjqhbeAiYjqoWfPnjh9+rS0nJCQAAsLC/To0QOnTp3SYGRERHXHHkAiojqqSP5kMhnGjBmD8+fPY8yYMZDJZDh9+jR69uyp6RCJiOqEPYBERHWQn58vJX/379+HsbExAGDTpk1Yu3YtTE1Ncfr0aeTn58Pc3FzD0RIR1Yw9gEREdTBmzBgAwOjRo3H79m1YW1vD0NAQ1tbWuH37Nt544w2lekRETRl7AImI6iAlJQUAEBUVhf/+979S+d27d9G6dWvo6+sr1SMiasrYA0hEVAdt2rQBAJSVlQEATExM0LFjR5iYmCiVV9QjImrKmAASEdXBp59+qrRcWFiICxcuoLCwsMZ6RERNERNAIqI68PX1VVr28vLCrl274OXlVWM9IqKmiGMAiYjq4N69e0rLly5dQmBgYK31iIiaIvYAEhHVgYHBw9+XKyZ7PK6ivKIeEVFTxgSQiKgOKm7tVkz2eFxFOW8BE1FzwASQiKgOHh/rBwAjRoyoUz0ioqZGJQngkSNHEBAQACcnJ8hkMuzatavG+rGxsZDJZJU+mZmZqgiHiEjlzMzMKpVt3bq1TvWIiJoalSSABQUF6Ny5MyIiIuq1XXJyMjIyMqSPnZ2dKsIhIlK55cuXSz8bGRnByMgIMplM+rmqekRETZVKRiu/+OKLePHFF+u9nZ2dHaysrFQRAhFRoyovLwcAODo6IiMjQyovLi4GANjb2yMrK0uqR0TUlGl0DGCXLl3g6OiIQYMG4ffff6+xblFREXJzc5U+RETqYmxsDABKyd+jsrKylOoRETVlGkkAHR0dsWbNGuzYsQM7duyAs7MzBgwYgLNnz1a7TXh4OCwtLaWPs7OzGiMmIl136dIlpWU7Ozt069at0tCVx+sRETVFGnlgVfv27dG+fXtpuU+fPkhJScHy5cuVXrL+qLCwMISGhkrLubm5TAKJSG1atmyptHzz5k3cvHmz1npERE1Rk3kMTM+ePXH16tVq18vlcigUCqUPEZG6jBkzRqX1iIg0qckkgOfOnYOjo6OmwyAiqtLly5dVWo+ISJNUcgs4Pz9fqfcuNTUV586dg7W1NVxcXBAWFoYbN25g06ZNAIAVK1bA3d0dHTp0wIMHD/DNN9/g0KFDOHDggCrCISJSuby8PJXWIyLSJJX0AJ45cwZdu3ZF165dAQChoaHo2rUr5syZA+DhrLm0tDSpfnFxMd577z14e3ujf//+OH/+PH799Vc8//zzqgiHqMmr7eHpQgjMmTMHjo6OMDExgZ+fH65cuaJU586dOxg1ahQUCgWsrKwwceJE5Ofnq/EodEtBQYH0s76+Pj744ANcvXoVH3zwgdL7gR+tR5oREREBNzc3GBsbo1evXjh16lS1ddetW4d+/fqhRYsWaNGiBfz8/GqsT6QtVJIADhgwAEKISp/IyEgAQGRkJGJjY6X6M2bMwNWrV1FYWIjbt2/jt99+w3PPPaeKUIiahdoenv7555/jyy+/xJo1a3Dy5EmYmZnB398fDx48kOqMGjUKFy9exMGDB7F7924cOXIEb775proOQec8mlyXlZXh+vXryMnJwfXr15XeD8wkXLO2bt2K0NBQzJ07F2fPnkXnzp3h7+9f5YQd4OGbqUaOHInffvsNcXFxcHZ2xuDBg3Hjxg01R06kXhqZBUyk62p6eLoQAitWrMCsWbMwbNgwAMCmTZtgb2+PXbt24fXXX0diYiL27duH06dPo3v37gCAlStX4l//+heWLFkCJycntR2LrpDJZErLW7ZswZYtW2qtR+q1bNkyTJ48GRMmTAAArFmzBnv27MG3336LDz74oFL9x/8Nv/nmG+zYsQMxMTEYO3asWmIm0oQmMwmEiB5KTU1FZmYm/Pz8pDJLS0v06tULcXFxAIC4uDhYWVlJyR8A+Pn5QU9PDydPnlR7zLrA2tpapfVI9YqLixEfH6/UdvT09ODn5ye1ndrcv38fJSUl1f478qUEpC2YABI1MZmZmQAevlrsUfb29tK6zMzMSg8gNjAwgLW1tVSnKrx4PbmhQ4eqtB6pXnZ2NsrKympsO7WZOXMmnJyclJLIR/GlBKQtmAAS6RBevJ7cJ598otJ61PR8+umn+P777xEdHV3tK/3CwsKQk5Mjfa5fv67mKIlUgwkgURPj4OAA4H/vlq2QlZUlrXNwcKg0qL20tBR37tyR6lSFF68nxwdBN322trbQ19evse1UZ8mSJfj0009x4MABdOrUqdp6fCkBaQsmgERNjLu7OxwcHBATEyOV5ebm4uTJk/D19QUA+Pr64t69e4iPj5fqHDp0COXl5ejVq1e1++bF68k9+u+hinqkekZGRvDx8VH6NygvL0dMTIzUdqry+eefY8GCBdi3b5/SuFoibcZZwEQaUNvD06dNm4aFCxeibdu2cHd3x+zZs+Hk5ITAwEAAgKenJ1544QVMnjwZa9asQUlJCYKDg/H6669zBnAjKS0tVWk9ahyhoaEYN24cunfvjp49e2LFihUoKCiQZgWPHTsWrVq1Qnh4OADgs88+w5w5cxAVFQU3NzdprKC5uTnMzc01dhxEjY0JIJEGnDlzRunZl6GhoQCAcePGITIyEjNmzEBBQQHefPNN3Lt3D8888wz27dunNC5py5YtCA4OxvPPPw89PT0MHz4cX375pdqPhagpGTFiBG7duoU5c+YgMzMTXbp0wb59+6SJIWlpadDT+9/Nr9WrV6O4uBivvPKK0n7mzp2LefPmqTN0IrViAkikARUPT6+OTCbD/PnzMX/+/GrrWFtbIyoqqjHCI2rWgoODERwcXOW6R19KAADXrl1r/ICImiCOASQiIiLSMUwAiYiIiHQME0AiIiIiHcMEkIiIiEjHMAEkIiIi0jFMAImIanD//n2cPXu2XtucPXsW9+/fb6SIiIgajgkgEVENkpKS4OPjU69tfHx8kJSU1EgRERE1HJ8DSERUAw8PD8THxyM/Px/9+/evtf7hw4dhbm4ODw8PNURHRPRkmAASEdXA1NQU3bp1AwD06NEDp0+frrZujx498Oyzz6orNCKiJ8ZbwEREdXTq1Cn06NGjynU9evTAqVOn1BwREdGTYQJIRFQPp06dQl5ennQ7uH///sjLy2PyR0TNChNAIqJ6Mjc3x7JlywAAy5Ytg7m5uYYjIiKqHyaARERERDqGCSARERGRjmECSERERKRjmAASERER6RgmgEREREQ6hg+CJiL6/9LS0pCdnV2nuomJiUp/1oWtrS1cXFyeKDYiIlViAkhEhIfJX3sPTzwovF+v7UaPHl3nusYmpkhOSmQSSEQaxwSQiAhAdnY2HhTeh83Q92Bo41xrfVFajNKcLBhY2kNmYFRr/ZLb13F791JkZ2czASQijWMCSET0CEMbZ8gdnq5b5dZejRsMEVEj4SQQIiIiIh3DHkAiov/PwVwGb6N0GMr0Vb7vEqN0wFym8v0SET0JJoBERP/f//kYYZ7TmsbZuRMwz6f2sYJEROqgkgTwyJEjWLx4MeLj45GRkYHo6GgEBgbWuE1sbCxCQ0Nx8eJFODs7Y9asWRg/frwqwiHSKREREVi8eDEyMzPRuXNnrFy5Ej179tR0WM3S1/HFON7u3TpNAqmvktvXkRC/GP9W+Z7pcfVtE9u2bcPs2bNx7do1tG3bFp999hn+9a9/qTFiIvVTSQJYUFCAzp074z//+Q9efvnlWuunpqZiyJAheOutt7BlyxbExMRg0qRJcHR0hL+/vypCItIJW7duRWhoKNasWYNevXphxYoV8Pf3R3JyMuzs7DQdXrOTmS9QklEGw+KyWuvWfxZwGW7nC1WESTWob5s4fvw4Ro4cifDwcAwdOhRRUVEIDAzE2bNn0bFjRw0cAZF6qCQBfPHFF/Hiiy/Wuf6aNWvg7u6OpUuXAgA8PT1x7NgxLF++nAkgUT0sW7YMkydPxoQJEwA8bFt79uzBt99+iw8++EDD0TUvtra2MDYxxe3dSxvtO4xNTGFra9to+6f6t4kvvvgCL7zwAqZPnw4AWLBgAQ4ePIivvvoKa9Y00nAAoiZAI2MA4+Li4Ofnp1Tm7++PadOmVbtNUVERioqKpOXc3NzGCk9r3L9/H0lJSZXKa3uDgYeHB0xNTRs1Nmq44uJixMfHIywsTCrT09ODn58f4uLiqtyG7ah6Li4uSE5KrPQmkMLCQly7dq1S/dTUVMyePRsLFiyAu7t7pfVubm4wMTFRKuObQBrXk7SJuLg4hIaGKpX5+/tj165dVdZnG6qdg7kMnvf/gMGddKlMlJWgLO9Ovfelb2ENmb6htFx6P4uTqVREIwlgZmYm7O3tlcrs7e2Rm5uLwsLCSv9pAkB4eDg+/vhjdYWoFZKSkuDj41Pt+ureYBAfH49u3bo1VlikItnZ2SgrK6uyLVWV+ANsR7VxcXGplKCdPXu2xrd9zJ49u8pytiP1e5I2Ud31KDMzs8r6bEM1s7W1RVBvM8zyim6cL3ACFt41Y0+6CjSbWcBhYWFKv6Xl5ubC2Vn1A7W1iYeHB+Lj4yuVV/RoVNVDUbEdaSe2o/pjO6JHsQ3VzMXFBeNXxiIx/YpSeVFREdLT06veqAZOTk6Qy+VKZeNfb4vW7ElvMI0kgA4ODsjKylIqy8rKgkKhqPI/UgCQy+WVTgKqmampabU9EH379lVzNKRqtra20NfXr7ItOTg4VLkN21H9sR01H0/SJqq7HrENPbnWHj6AR+W7T13UHwrVQCNvAvH19UVMTIxS2cGDB+Hr66uJcIiaJSMjI/j4+Ci1pfLycsTExLAtkU56kjbB6xHpKpX0AObn5+Pq1avScmpqKs6dOwdra2u4uLggLCwMN27cwKZNmwAAb731Fr766ivMmDED//nPf3Do0CH88MMP2LNnjyrCIdIZoaGhGDduHLp3746ePXtixYoVKCgokGZAEuma2trE2LFj0apVK4SHhwMA3n33XfTv3x9Lly7FkCFD8P333+PMmTNYu3atJg+DqNGpJAE8c+YMnnvuOWm5YnzEuHHjEBkZiYyMDKSlpUnr3d3dsWfPHoSEhOCLL75A69at8c033/ARMET1NGLECNy6dQtz5sxBZmYmunTpgn379lUa1E6kK2prE2lpadDT+9/Nrz59+iAqKgqzZs3Chx9+iLZt22LXrl18BiBpPZkQolk+mTQ3NxeWlpbIycmBQqHQdDikI7TtvNO246HmQZvOO206FmpeGnruaWQMIBERERFpTrN5DMzjKjou+RBOUqeK862ZdpxXwnZEmqBN7YhtiDSloe2o2SaAeXl5AMDnL5FG5OXlwdLSUtNhNBjbEWmSNrQjtiHStCdtR812DGB5eTnS09NhYWEBmYyvhamPigeXXr9+nWNW6kkIgby8PDg5OSkNJG+u2I6eHNvRk9OmdsQ21DBsR0+uoe2o2SaA9OQ4aJmo4diOiBqO7UhzmvevXkRERERUb0wAiYiIiHQME0AdJJfLMXfuXL7PkqgB2I6IGo7tSHM4BpCIiIhIx7AHkIiIiEjHMAEkIiIi0jFMAImIiIh0DBNAHXHt2jXIZDKcO3euwfsaP348AgMDG7wfoqZECIE333wT1tbWKmsrRFQ3bm5uWLFiRaN+R2xsLGQyGe7du9eo39NcNNtXwTUHAwYMQJcuXRr9pCaihtu3bx8iIyMRGxuLp556Cra2tpoOiUhnnD59GmZmZpoOQ6cwAdQgIQTKyspgYMB/BiJNS0lJgaOjI/r06fPE+ygpKYGhoaEKoyJq3oqLi2FkZFRrvZYtW6ohGnoUbwE3kvHjx+Pw4cP44osvIJPJIJPJEBkZCZlMhl9++QU+Pj6Qy+U4duwYUlJSMGzYMNjb28Pc3Bw9evTAr7/+Ku3rww8/RK9evSp9R+fOnTF//nxp+ZtvvoGnpyeMjY3h4eGBVatWPXH8Fy9exNChQ6FQKGBhYYF+/fohJSWlyrr79u3DM888AysrK9jY2GDo0KFKdYuLixEcHAxHR0cYGxvD1dUV4eHhAB4mwfPmzYOLiwvkcjmcnJzwzjvvPHHcRE9i/PjxmDp1KtLS0iCTyeDm5lbreV0xrGLr1q3o378/jI2NsWXLFgCqbYtE6rZ9+3Z4e3vDxMQENjY28PPzQ0FBAQYMGIBp06Yp1Q0MDMT48eOlZTc3NyxYsABjx46FQqHAm2++iT59+mDmzJlK2926dQuGhoY4cuSItF3F3bI33ngDI0aMUKpfUlICW1tbbNq0CcDDdzCHh4fD3d0dJiYm6Ny5M7Zv3660zd69e9GuXTuYmJjgueeew7Vr1xr+l6NNBDWKe/fuCV9fXzF58mSRkZEhMjIyxK+//ioAiE6dOokDBw6Iq1evitu3b4tz586JNWvWiISEBHH58mUxa9YsYWxsLP7++28hhBAXLlwQAMTVq1el/VeUXblyRQghxObNm4Wjo6PYsWOH+Ouvv8SOHTuEtbW1iIyMFEIIkZqaKgCIP/74o9bY//nnH2FtbS1efvllcfr0aZGcnCy+/fZbkZSUJIQQYty4cWLYsGFS/e3bt4sdO3aIK1euiD/++EMEBAQIb29vUVZWJoQQYvHixcLZ2VkcOXJEXLt2TRw9elRERUUJIYTYtm2bUCgUYu/eveLvv/8WJ0+eFGvXrm3w3z9Rfdy7d0/Mnz9ftG7dWmRkZIibN2/Wel5XtCk3Nzep3aWnp9faFomasvT0dGFgYCCWLVsmUlNTxZ9//ikiIiJEXl6e6N+/v3j33XeV6g8bNkyMGzdOWnZ1dRUKhUIsWbJEXL16VVy9elV89dVXwsXFRZSXl0v1Vq5cqVTm6uoqli9fLoQQYvfu3cLExETk5eVJ9X/++WdhYmIicnNzhRBCLFy4UHh4eIh9+/aJlJQUsWHDBiGXy0VsbKwQQoi0tDQhl8tFaGioSEpKEps3bxb29vYCgLh7967q/+KaISaAjejxxvLbb78JAGLXrl21btuhQwexcuVKablz585i/vz50nJYWJjo1auXtNymTRspqaqwYMEC4evrK4SoXwIYFhYm3N3dRXFxcZXrH08AH3fr1i0BQCQkJAghhJg6daoYOHCgUuOvsHTpUtGuXbtqv4tIXZYvXy5cXV2rXf/4eV3RplasWKFUr7a2SNSUxcfHCwDi2rVrldbVNQEMDAxUqnPz5k1hYGAgjhw5IpX5+vqKmTNnKm1XkQCWlJQIW1tbsWnTJmn9yJEjxYgRI4QQQjx48ECYmpqK48ePK33PxIkTxciRI4UQD69jXl5eSutnzpzJBPARvAWsAd27d1dazs/Px/vvvw9PT09YWVnB3NwciYmJSEtLk+qMGjUKUVFRAB7eNv3uu+8watQoAEBBQQFSUlIwceJEmJubS5+FCxdWe9u2JufOnUO/fv3qPJbpypUrGDlyJJ566ikoFAq4ubkBgBT/+PHjce7cObRv3x7vvPMODhw4IG376quvorCwEE899RQmT56M6OholJaW1jtmIlWr7byu8Gh7VnVbJFK3zp074/nnn4e3tzdeffVVrFu3Dnfv3q3XPh6/xrVs2RKDBw+WhkikpqYiLi5OuoY9zsDAAK+99ppUv6CgAD/++KNU/+rVq7h//z4GDRqk1M42bdoktbPExMRKQ6d8fX3rdRzajrMPNODxmU7vv/8+Dh48iCVLluDpp5+GiYkJXnnlFRQXF0t1Ro4ciZkzZ+Ls2bMoLCzE9evXpTES+fn5AIB169ZVOuH19fXrHZ+JiUm96gcEBMDV1RXr1q2Dk5MTysvL0bFjRyn+bt26ITU1Fb/88gt+/fVXvPbaa/Dz88P27dvh7OyM5ORk/Prrrzh48CDefvttLF68GIcPH+ZgetKo2s7rCo+2Z1W3RSJ109fXx8GDB3H8+HEcOHAAK1euxEcffYSTJ09CT08P4rG3x5aUlFTaR1WzeUeNGoV33nkHK1euRFRUFLy9veHt7V1tHKNGjUL//v1x8+ZNHDx4ECYmJnjhhRcA/K+d7dmzB61atVLaju8UrjsmgI3IyMgIZWVltdb7/fffMX78eLz00ksAHp7cjw9Wbd26Nfr3748tW7agsLAQgwYNgp2dHQDA3t4eTk5O+Ouvv6r9jao+OnXqhI0bN9ZpRuPt27eRnJyMdevWoV+/fgCAY8eOVaqnUCgwYsQIjBgxAq+88gpeeOEF3LlzB9bW1jAxMUFAQAACAgIQFBQEDw8PJCQkoFu3bg0+FqInUdfz+nGqbotEmiCTydC3b1/07dsXc+bMgaurK6Kjo9GyZUtkZGRI9crKynDhwgU899xzte5z2LBhePPNN7Fv3z5ERUVh7NixNdbv06cPnJ2dsXXrVvzyyy949dVXpeuRl5cX5HI50tLS0L9//yq39/T0xE8//aRUduLEiVrj1CVMABuRm5sbTp48iWvXrsHc3Bzl5eVV1mvbti127tyJgIAAyGQyzJ49u8q6o0aNwty5c1FcXIzly5crrfv444/xzjvvwNLSEi+88AKKiopw5swZ3L17F6GhofWKOzg4GCtXrsTrr7+OsLAwWFpa4sSJE+jZsyfat2+vVLdFixawsbHB2rVr4ejoiLS0NHzwwQdKdZYtWwZHR0d07doVenp62LZtGxwcHGBlZYXIyEiUlZWhV69eMDU1xebNm2FiYgJXV9d6xUykSnU5r6ujyrZIpG4nT55ETEwMBg8eDDs7O5w8eRK3bt2Cp6cnzMzMEBoaij179qBNmzZYtmxZnR+qbGZmhsDAQMyePRuJiYkYOXJkrdu88cYbWLNmDS5fvozffvtNKrewsMD777+PkJAQlJeX45lnnkFOTg5+//13KBQKjBs3Dm+99RaWLl2K6dOnY9KkSYiPj0dkZOQT/q1oKU0PQtRmycnJonfv3sLExEQAEBs2bKhyAGpqaqp47rnnhImJiXB2dhZfffVVlYNt7969K+RyuTA1NVWaHVVhy5YtokuXLsLIyEi0aNFCPPvss2Lnzp3Sd6COk0CEEOL8+fNi8ODBwtTUVFhYWIh+/fqJlJQUIUTlSSAHDx4Unp6eQi6Xi06dOonY2FgBQERHRwshhFi7dq3o0qWLMDMzEwqFQjz//PPi7NmzQgghoqOjRa9evYRCoRBmZmaid+/e4tdff61TjESq9PgkkNrO65raVE1tkagpu3TpkvD39xctW7YUcrlctGvXTpqQWFxcLKZMmSKsra2FnZ2dCA8Pr3ISSMVkjsft3btXABDPPvtspXVVbXfp0iUBQLi6ulaaRFheXi5WrFgh2rdvLwwNDUXLli2Fv7+/OHz4sFTn559/Fk8//bSQy+WiX79+4ttvv+UkkEfIhHjshj4RERERaTXOAiYiIiLSMUwAddBbb72lNHX+0c9bb72l6fCIiIiokfEWsA66efMmcnNzq1ynUCik2cVERESknZgAEhEREekY3gImIiIi0jFMAImIiIh0DBNAIiIiIh3DBJCIiIhIxzABJCIiItIxTACJiIiIdAwTQCIiIiIdwwSQiIiISMcwASQiIiLSMUwAiYiIiHQME0AiIiIiHcMEkIiIiEjHMAEkIiIi0jH/Dzf4UEH1KAIQAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<safeds.data.image.containers._image.Image at 0x215e7ce2f90>"
+      ]
      },
      "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 7
+   "source": [
+    "titanic_numerical.plot.box_plots()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false
+   },
    "source": [
     "Let's look at the different boxplots of all numerical columns:\n",
     "\n",
@@ -285,13 +330,13 @@
     "* The `travel_class` boxplot has its middle 50% of passengers either in the 2nd or 3rd class. The remaining passengers were considered first class.\n",
     "* In the `fare` boxplot, the box lies somewhere between 10 and 40. This implies that about half of the passengers paid a passenger fare below 20. The other half paid above 20. It was also dominated by extreme outliers. An extreme outlier is a value 3 times the difference between the 75th percentile and the 25th percentile (3 x IQR).\n",
     "* The last boxplot, `survived`, depicts the survival rate of all passengers between 0.0 and 1.0. It is clear that box plot is not a good graphic display for such a variable because it is either a passenger survived (1) or died (0)."
-   ],
-   "metadata": {
-    "collapsed": false
-   }
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false
+   },
    "source": [
     "## Histogram\n",
     "\n",
@@ -299,81 +344,85 @@
     "\n",
     "* The height of the bars correspond to the number of values in that bin or interval.\n",
     "* Each bar has an area which shows the proportion of values in the range. They can help to predict the probability of getting future measurements."
-   ],
-   "metadata": {
-    "collapsed": false
-   }
+   ]
   },
   {
    "cell_type": "code",
-   "source": [
-    "titanic_numerical.get_column(\"fare\").plot.histogram()"
-   ],
+   "execution_count": 8,
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2024-06-20T18:48:43.336423700Z",
      "start_time": "2024-06-20T18:48:43.238602500Z"
-    }
+    },
+    "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "<safeds.data.image.containers._image.Image at 0x2bd8fee2890>",
-      "image/png": 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"
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",
+      "text/plain": [
+       "<safeds.data.image.containers._image.Image at 0x215e7c90c20>"
+      ]
      },
      "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 8
+   "source": [
+    "titanic_numerical.get_column(\"fare\").plot.histogram()"
+   ]
   },
   {
    "cell_type": "markdown",
-   "source": [
-    "In the `fare` histogram, the tallest bar has the highest number of passengers with a count of 420. While reflecting its base on the x-axis, it can be deduced that about 420 passengers paid a fare of about 10 pounds meanwhile, the last bar to the right indicates that 5 passengers paid a fare of about 510 pounds."
-   ],
    "metadata": {
     "collapsed": false
-   }
+   },
+   "source": [
+    "In the `fare` histogram, the tallest bar has the highest number of passengers with a count of 420. While reflecting its base on the x-axis, it can be deduced that about 420 passengers paid a fare of about 10 pounds meanwhile, the last bar to the right indicates that 5 passengers paid a fare of about 510 pounds."
+   ]
   },
   {
    "cell_type": "markdown",
-   "source": [
-    "## Histogram of all columns"
-   ],
    "metadata": {
     "collapsed": false
-   }
+   },
+   "source": [
+    "## Histogram of all columns"
+   ]
   },
   {
    "cell_type": "code",
-   "source": [
-    "titanic_numerical.plot.histograms()"
-   ],
+   "execution_count": 9,
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2024-06-20T18:48:43.660060600Z",
      "start_time": "2024-06-20T18:48:43.327907Z"
-    }
+    },
+    "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "text/plain": "<safeds.data.image.containers._image.Image at 0x2bd90513b90>",
-      "image/png": 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"
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",
+      "text/plain": [
+       "<safeds.data.image.containers._image.Image at 0x215e93d0d70>"
+      ]
      },
      "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 9
+   "source": [
+    "titanic_numerical.plot.histograms()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false
+   },
    "source": [
     "Let's look at the different histograms of certain columns:\n",
     "* According to the `age` histogram, a majority of the passengers were aged between 20 and 40. If the bars within this range are added up, about 750 passengers fall between this age range. Just a few passengers were above 75 years.\n",
@@ -382,58 +431,53 @@
     "* As per the `parents_children` histogram, most passengers were neither accompanied by a parent nor child.\n",
     "* In the histogram for the `travel_class` column, it can be observed that more than 50% of the passengers were categorised as 3rd class passengers. Just about half of the remaining passengers were categorised as 2nd class and the rest were 1st class passengers.\n",
     "* The last histogram, `survived` depicts the survival rate of all passengers. About 800 passengers died meanwhile more than 500 passengers survived.\n"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false
+   },
    "source": [
     "## Scatterplot\n",
     "A scatterplot is a type of graph that displays the relationship between two numerical variables. It provides insights on the distribution pattern, trend, and individual points deviating significantly from the majority of observations called outliers."
-   ],
-   "metadata": {
-    "collapsed": false
-   }
+   ]
   },
   {
    "cell_type": "code",
-   "source": [
-    "titanic_numerical.plot.scatter_plot(\"age\", [\"fare\"])"
-   ],
+   "execution_count": 10,
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2024-06-20T18:48:43.776868800Z",
      "start_time": "2024-06-20T18:48:43.661565100Z"
-    }
+    },
+    "collapsed": false
    },
    "outputs": [
     {
-     "ename": "ValueError",
-     "evalue": "there are missing values in column 'fare', use transformation to fill missing values or drop the missing values",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
-      "\u001B[1;31mValueError\u001B[0m                                Traceback (most recent call last)",
-      "Cell \u001B[1;32mIn[10], line 1\u001B[0m\n\u001B[1;32m----> 1\u001B[0m \u001B[43mtitanic_numerical\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mplot\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mscatter_plot\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[38;5;124;43mage\u001B[39;49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m[\u001B[49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[38;5;124;43mfare\u001B[39;49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[43m]\u001B[49m\u001B[43m)\u001B[49m\n",
-      "File \u001B[1;32m~\\PycharmProjects\\Library\\src\\safeds\\data\\tabular\\plotting\\_table_plotter.py:323\u001B[0m, in \u001B[0;36mTablePlotter.scatter_plot\u001B[1;34m(self, x_name, y_names)\u001B[0m\n\u001B[0;32m    289\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mscatter_plot\u001B[39m(\u001B[38;5;28mself\u001B[39m, x_name: \u001B[38;5;28mstr\u001B[39m, y_names: \u001B[38;5;28mlist\u001B[39m[\u001B[38;5;28mstr\u001B[39m]) \u001B[38;5;241m-\u001B[39m\u001B[38;5;241m>\u001B[39m Image:\n\u001B[0;32m    290\u001B[0m \u001B[38;5;250m    \u001B[39m\u001B[38;5;124;03m\"\"\"\u001B[39;00m\n\u001B[0;32m    291\u001B[0m \u001B[38;5;124;03m    Create a scatter plot for two columns in the table.\u001B[39;00m\n\u001B[0;32m    292\u001B[0m \n\u001B[1;32m   (...)\u001B[0m\n\u001B[0;32m    321\u001B[0m \u001B[38;5;124;03m    >>> image = table.plot.scatter_plot(\"a\", [\"b\"])\u001B[39;00m\n\u001B[0;32m    322\u001B[0m \u001B[38;5;124;03m    \"\"\"\u001B[39;00m\n\u001B[1;32m--> 323\u001B[0m     \u001B[43m_plot_validation\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_table\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mx_name\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43my_names\u001B[49m\u001B[43m)\u001B[49m\n\u001B[0;32m    325\u001B[0m     \u001B[38;5;28;01mimport\u001B[39;00m \u001B[38;5;21;01mmatplotlib\u001B[39;00m\u001B[38;5;21;01m.\u001B[39;00m\u001B[38;5;21;01mpyplot\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m \u001B[38;5;21;01mplt\u001B[39;00m\n\u001B[0;32m    327\u001B[0m     fig, ax \u001B[38;5;241m=\u001B[39m plt\u001B[38;5;241m.\u001B[39msubplots()\n",
-      "File \u001B[1;32m~\\PycharmProjects\\Library\\src\\safeds\\data\\tabular\\plotting\\_table_plotter.py:437\u001B[0m, in \u001B[0;36m_plot_validation\u001B[1;34m(table, x_name, y_names)\u001B[0m\n\u001B[0;32m    435\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m name \u001B[38;5;129;01min\u001B[39;00m y_names:\n\u001B[0;32m    436\u001B[0m     \u001B[38;5;28;01mif\u001B[39;00m table\u001B[38;5;241m.\u001B[39mget_column(name)\u001B[38;5;241m.\u001B[39mmissing_value_count() \u001B[38;5;241m>\u001B[39m\u001B[38;5;241m=\u001B[39m \u001B[38;5;241m1\u001B[39m:\n\u001B[1;32m--> 437\u001B[0m         \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mValueError\u001B[39;00m(\n\u001B[0;32m    438\u001B[0m             \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mthere are missing values in column \u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;132;01m{\u001B[39;00mname\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124m, use transformation to fill missing values \u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[0;32m    439\u001B[0m             \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mor drop the missing values\u001B[39m\u001B[38;5;124m\"\u001B[39m,\n\u001B[0;32m    440\u001B[0m         )\n\u001B[0;32m    441\u001B[0m y_names\u001B[38;5;241m.\u001B[39mremove(x_name)\n",
-      "\u001B[1;31mValueError\u001B[0m: there are missing values in column 'fare', use transformation to fill missing values or drop the missing values"
-     ]
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<safeds.data.image.containers._image.Image at 0x215e93d0c20>"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
-   "execution_count": 10
+   "source": [
+    "titanic_numerical.plot.scatter_plot(\"age\", [\"fare\"])"
+   ]
   },
   {
    "cell_type": "markdown",
-   "source": [
-    "The above scatterplot uses the `age` and `fare` columns from the Titanic dataset to plot each data point that represents a passenger. It can be inferred, that more than 50% of the passengers paid a fare less than 50 pounds. Three passengers of the ages ~35 and 60 paid a fare of about 500 pounds and were considered outliers.\n"
-   ],
    "metadata": {
     "collapsed": false
-   }
+   },
+   "source": [
+    "The above scatterplot uses the `age` and `fare` columns from the Titanic dataset to plot each data point that represents a passenger. It can be inferred, that more than 50% of the passengers paid a fare less than 50 pounds. Three passengers of the ages ~35 and 60 paid a fare of about 500 pounds and were considered outliers.\n"
+   ]
   }
  ],
  "metadata": {
@@ -445,14 +489,14 @@
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.6"
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
   }
  },
  "nbformat": 4,
diff --git a/poetry.lock b/poetry.lock
index 69e7784f0..127d7a0c7 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "apipkg"
@@ -1883,6 +1883,7 @@ description = "Nvidia JIT LTO Library"
 optional = false
 python-versions = ">=3"
 files = [
+    {file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:4abe7fef64914ccfa909bc2ba39739670ecc9e820c83ccc7a6ed414122599b83"},
     {file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:06b3b9b25bf3f8af351d664978ca26a16d2c5127dbd53c0497e28d1fb9611d57"},
     {file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:fd9020c501d27d135f983c6d3e244b197a7ccad769e34df53a42e276b0e25fa1"},
 ]
@@ -3093,27 +3094,6 @@ dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pyde
 doc = ["jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.12.0)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0)", "sphinx-design (>=0.4.0)"]
 test = ["array-api-strict", "asv", "gmpy2", "hypothesis (>=6.30)", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
 
-[[package]]
-name = "seaborn"
-version = "0.13.2"
-description = "Statistical data visualization"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "seaborn-0.13.2-py3-none-any.whl", hash = "sha256:636f8336facf092165e27924f223d3c62ca560b1f2bb5dff7ab7fad265361987"},
-    {file = "seaborn-0.13.2.tar.gz", hash = "sha256:93e60a40988f4d65e9f4885df477e2fdaff6b73a9ded434c1ab356dd57eefff7"},
-]
-
-[package.dependencies]
-matplotlib = ">=3.4,<3.6.1 || >3.6.1"
-numpy = ">=1.20,<1.24.0 || >1.24.0"
-pandas = ">=1.2"
-
-[package.extras]
-dev = ["flake8", "flit", "mypy", "pandas-stubs", "pre-commit", "pytest", "pytest-cov", "pytest-xdist"]
-docs = ["ipykernel", "nbconvert", "numpydoc", "pydata_sphinx_theme (==0.10.0rc2)", "pyyaml", "sphinx (<6.0.0)", "sphinx-copybutton", "sphinx-design", "sphinx-issues"]
-stats = ["scipy (>=1.7)", "statsmodels (>=0.12)"]
-
 [[package]]
 name = "six"
 version = "1.16.0"
@@ -3925,4 +3905,4 @@ files = [
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.11,<3.13"
-content-hash = "3c84ee11b03ce9d5a0955f225c68a110a4445cdaa62d1f5190083f2d901359bc"
+content-hash = "bbf2e8b7b2e0b38c386914308ae71130588a8bbe0a21c01f688b4c2e6e593a8a"
diff --git a/pyproject.toml b/pyproject.toml
index 5c8436880..9625d7903 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -19,7 +19,6 @@ matplotlib = "^3.6.3"
 pillow = ">=9.5,<11.0"
 polars = {extras = ["numpy", "pyarrow"], version = "^0.20.25"}
 scikit-learn = "^1.2.0"
-seaborn = "^0.13.0"
 statsmodels = "^0.14.1"
 torch = "^2.3.0"
 torchvision = "^0.18.0"
diff --git a/src/safeds/data/tabular/plotting/_table_plotter.py b/src/safeds/data/tabular/plotting/_table_plotter.py
index 573dd258c..f46faa3d7 100644
--- a/src/safeds/data/tabular/plotting/_table_plotter.py
+++ b/src/safeds/data/tabular/plotting/_table_plotter.py
@@ -34,12 +34,12 @@ def __init__(self, table: Table):
 
     def box_plots(self) -> Image:
         """
-        Plot a boxplot for every numerical column.
+        Create a box plot for every numerical column.
 
         Returns
         -------
         plot:
-            The plot as an image.
+            The box plot(s) as an image.
 
         Raises
         ------
@@ -52,31 +52,54 @@ def box_plots(self) -> Image:
         >>> table = Table({"a":[1, 2], "b": [3, 42]})
         >>> image = table.plot.box_plots()
         """
-        # TODO: implement using matplotlib and polars
-        import matplotlib.pyplot as plt
-        import seaborn as sns
-
         numerical_table = self._table.remove_non_numeric_columns()
         if numerical_table.column_count == 0:
             raise NonNumericColumnError("This table contains only non-numerical columns.")
-        col_wrap = min(numerical_table.column_count, 3)
+        from math import ceil
 
-        data = numerical_table._lazy_frame.melt(value_vars=numerical_table.column_names).collect()
-        grid = sns.FacetGrid(data, col="variable", col_wrap=col_wrap, sharex=False, sharey=False)
-        with warnings.catch_warnings():
-            warnings.filterwarnings(
-                "ignore",
-                message="Using the boxplot function without specifying `order` is likely to produce an incorrect plot.",
-            )
-            grid.map(sns.boxplot, "variable", "value")
-        grid.set_xlabels("")
-        grid.set_ylabels("")
-        grid.set_titles("{col_name}")
-        for axes in grid.axes.flat:
-            axes.set_xticks([])
-        plt.tight_layout()
-        fig = grid.fig
+        import matplotlib.pyplot as plt
 
+        columns = numerical_table.to_columns()
+        columns = [column._series.drop_nulls() for column in columns]
+        max_width = 3
+        number_of_columns = len(columns) if len(columns) <= max_width else max_width
+        number_of_rows = ceil(len(columns) / number_of_columns)
+
+        fig, axs = plt.subplots(nrows=number_of_rows, ncols=number_of_columns)
+        line = 0
+        for i, column in enumerate(columns):
+            if i % number_of_columns == 0 and i != 0:
+                line += 1
+
+            if number_of_columns == 1:
+                axs.boxplot(
+                    column,
+                    patch_artist=True,
+                    labels=[numerical_table.column_names[i]],
+                )
+                break
+
+            if number_of_rows == 1:
+                axs[i].boxplot(
+                    column,
+                    patch_artist=True,
+                    labels=[numerical_table.column_names[i]],
+                )
+
+            else:
+                axs[line, i % number_of_columns].boxplot(
+                    column,
+                    patch_artist=True,
+                    labels=[numerical_table.column_names[i]],
+                )
+
+        # removes unused ax indices, so there wont be empty plots
+        last_filled_ax_index = len(columns) % number_of_columns
+        for i in range(last_filled_ax_index, number_of_columns):
+            if number_of_rows != 1 and last_filled_ax_index != 0:
+                fig.delaxes(axs[number_of_rows - 1, i])
+
+        fig.tight_layout()
         return _figure_to_image(fig)
 
     def correlation_heatmap(self) -> Image:
diff --git a/tests/safeds/data/tabular/plotting/__snapshots__/test_plot_boxplots/test_should_match_snapshot[four columns (all numeric)].png b/tests/safeds/data/tabular/plotting/__snapshots__/test_plot_boxplots/test_should_match_snapshot[four columns (all numeric)].png
index 796fca5e8..388d46659 100644
Binary files a/tests/safeds/data/tabular/plotting/__snapshots__/test_plot_boxplots/test_should_match_snapshot[four columns (all numeric)].png and b/tests/safeds/data/tabular/plotting/__snapshots__/test_plot_boxplots/test_should_match_snapshot[four columns (all numeric)].png differ
diff --git a/tests/safeds/data/tabular/plotting/__snapshots__/test_plot_boxplots/test_should_match_snapshot[four columns (some non-numeric)].png b/tests/safeds/data/tabular/plotting/__snapshots__/test_plot_boxplots/test_should_match_snapshot[four columns (some non-numeric)].png
index 27f0049a8..8877b9673 100644
Binary files a/tests/safeds/data/tabular/plotting/__snapshots__/test_plot_boxplots/test_should_match_snapshot[four columns (some non-numeric)].png and b/tests/safeds/data/tabular/plotting/__snapshots__/test_plot_boxplots/test_should_match_snapshot[four columns (some non-numeric)].png differ
diff --git a/tests/safeds/data/tabular/plotting/__snapshots__/test_plot_boxplots/test_should_match_snapshot[one column].png b/tests/safeds/data/tabular/plotting/__snapshots__/test_plot_boxplots/test_should_match_snapshot[one column].png
index 4c5b2c817..7653fa8aa 100644
Binary files a/tests/safeds/data/tabular/plotting/__snapshots__/test_plot_boxplots/test_should_match_snapshot[one column].png and b/tests/safeds/data/tabular/plotting/__snapshots__/test_plot_boxplots/test_should_match_snapshot[one column].png differ