From f8cebf6b542e98f764bd677a4f52975d236f19db Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Christian=20Paul=20Alexandre=20Reisner-S=C3=A9n=C3=A9lar?=
 <uqnwo@student.kit.edu>
Date: Mon, 13 Jan 2025 13:57:20 +0000
Subject: [PATCH] Upload New File

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 .../Geometrische_Optik_Do06.ipynb             | 1958 +++++++++++++++++
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 create mode 100644 Geometrische_Optik/Geometrische_Optik_Do06.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "61e61a89-5383-458c-b390-c77b2e6a1817",
+   "metadata": {},
+   "source": [
+    "# Fakultät für Physik \n",
+    "\n",
+    "## Physikalisches Praktikum P1 für Studierende der Physik\n",
+    "\n",
+    "Versuch P1-141, 142, 143 (Stand: **Oktober 2024**)\n",
+    "\n",
+    "[Raum F1-13](https://labs.physik.kit.edu/img/Klassische-Praktika/Lageplan_P1P2.png)\n",
+    "\n",
+    "# Geometrische Optik"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ec9cf5b3-27b6-45c0-9093-e830b558ba84",
+   "metadata": {},
+   "source": [
+    "Name: **Ben Tov** Vorname: **Jonathan** E-Mail: **ufoxj@student.kit.edu**\n",
+    "\n",
+    "\\begin{equation*}\n",
+    "\\begin{split}\n",
+    "&\\\\\n",
+    "&\\\\\n",
+    "\\end{split}\n",
+    "\\end{equation*}\n",
+    "\n",
+    "Name: **Reisner-Sénélar** Vorname: **Christian** E-Mail: **uqnwo@student.kit.edu**\n",
+    "\n",
+    "\\begin{equation*}\n",
+    "\\begin{split}\n",
+    "&\\\\\n",
+    "&\\\\\n",
+    "&\\\\\n",
+    "\\end{split}\n",
+    "\\end{equation*}\n",
+    "\n",
+    "Gruppennummer: **Do06**\n",
+    "\n",
+    "\\begin{equation*}\n",
+    "\\begin{split}\n",
+    "&\\\\\n",
+    "&\\\\\n",
+    "&\\\\\n",
+    "\\end{split}\n",
+    "\\end{equation*}\n",
+    "\n",
+    "\n",
+    "Betreuer: **Fabienne Buchleither**\n",
+    "\n",
+    "\\begin{equation*}\n",
+    "\\begin{split}\n",
+    "&\\\\\n",
+    "&\\\\\n",
+    "&\\\\\n",
+    "\\end{split}\n",
+    "\\end{equation*}\n",
+    "\n",
+    "Versuch durchgeführt am: **19.12.2024**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "699e52ed-cae2-4136-80ca-689c44486d2c",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "\n",
+    "**Beanstandungen zu Protokoll Version _____:**\n",
+    "\n",
+    "\\begin{equation*}\n",
+    "\\begin{split}\n",
+    "&\\\\\n",
+    "&\\\\\n",
+    "&\\\\\n",
+    "&\\\\\n",
+    "&\\\\\n",
+    "&\\\\\n",
+    "&\\\\\n",
+    "&\\\\\n",
+    "&\\\\\n",
+    "&\\\\\n",
+    "\\end{split}\n",
+    "%\\text{\\vspace{10cm}}\n",
+    "\\end{equation*}\n",
+    "\n",
+    "<br>\n",
+    "Testiert am: __________________ Testat: __________________"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "52381c06-0e92-404d-9c39-2dfedbfb9dde",
+   "metadata": {},
+   "source": [
+    "# Durchführung"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cbe6305c-15ef-4a4b-89f2-77d7425faf8b",
+   "metadata": {},
+   "source": [
+    "**Detaillierte Hinweise zur Durchführung der Versuche finden Sie in der Datei [Geometrische_Optik_Hinweise.ipynb](https://gitlab.kit.edu/kit/etp-lehre/p1-praktikum/students/-/blob/main/Geometrische_Optik/Geometrische_Optik_Hinweise.ipynb)**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f4113a8f-45fc-4ce2-b26b-1e9a20579d0b",
+   "metadata": {},
+   "source": [
+    "## Aufgabe 1: Bestimmung der Brennweite $f$ einer einzelnen Linse"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f8329088-29ba-4441-9617-f561c5b64c56",
+   "metadata": {},
+   "source": [
+    "### Aufgabe 1.1: Bestimmung von $f$\n",
+    "\n",
+    " *  Bestimmen Sie, mit Hilfe eines Maßstabs und eines Schirms, die **Brennweite $f$ einer dünne Sammellinse**, die Sie aus dem Ihnen zur Verfügung stehenden Sortiment auswählen können. \n",
+    " * Fertigen Sie zur Vorbereitung einen **Strahlengang (einschließlich Lichtquelle)** an und fügen Sie diesen Ihrer Auswertung bei. \n",
+    " * Beantworten Sie in Ihrer Auswertung die folgende Frage: Wie ist sicher gestellt, dass die einfallenden Strahlen der Lichtquelle parallel in die Linse einfallen?\n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "attachments": {
+    "1000010178.jpg": {
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+    }
+   },
+   "cell_type": "markdown",
+   "id": "c46418c1-5952-4413-9971-8eea83728c82",
+   "metadata": {},
+   "source": [
+    "**V E R S U C H S B E S C H R E I B U N G**\n",
+    "\n",
+    "![1000010178.jpg](attachment:1000010178.jpg)      \n",
+    "\n",
+    "Es wurde eine dünne Sammellinse unbekannter Brennweite in einem näherungsweise parallelen Lichtstrahl ausgeleuchtet. Mithilfe eines beweglichen und zur Linse parallelen Schirmes wurde die Brennebene der Linse als derjenige Abstand indem sich Näherungsweise alle Lichtsrahlen kreuzen, also der auf dem Schirm zu betrachtendem Lichtpunkt minimal ist. \n",
+    "\n",
+    "Für 5 verschiedene Positione der Linse wurden die Brenweite gemessen. Die Brenweite der Linse wurde dabei als Mittelwert der 5 verschiedenen Messung berechnet. Die statistische Unsicherheit auf dei Brennweite wurde als Standerabweichung auf den Mittelwert berechnet mit der der Standartabweichung auf die Messwerte inklusive Besselkorektur $\\sigma_f$  als $\\Delta f=\\dfrac{\\sigma_f}{N}$ berechnet. Wobei $N=5$ die Anzahl der Messpunkte ist. \n",
+    "\n",
+    "Die näherungsweise Parallelheit des Lichtstrahls wurde darduch sichergestellt, dass die Linse in einer Entfernung von mindestens 90 Centimeter von der Quelle aufgestellt wurde. Auch die Einstellungen der Lampe zu  der parallelheit des Lichstrahles lässt sich durch eine Betrachtung des Lichtkegels mithilfe eines Schirms kontrolieren, \n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "26faa6fd-9ce6-40b8-bbda-27a315950603",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Collecting uncertainties\n",
+      "  Using cached uncertainties-3.2.2-py3-none-any.whl.metadata (6.9 kB)\n",
+      "Using cached uncertainties-3.2.2-py3-none-any.whl (58 kB)\n",
+      "Installing collected packages: uncertainties\n",
+      "Successfully installed uncertainties-3.2.2\n"
+     ]
+    }
+   ],
+   "source": [
+    "!pip install uncertainties\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import PhyPraKit as PPK\n",
+    "import kafe2\n",
+    "\n",
+    "from uncertainties import ufloat\n",
+    "from uncertainties.umath import sin,cos\n",
+    "def n(a):\n",
+    "    return np.array([x.n for x in a])\n",
+    "def s(a):\n",
+    "    return np.array([x.s for x in a])\n",
+    "def utl(u):\n",
+    "    return [f\"${x.nominal_value:.2f} \\\\pm {x.std_dev:.2f}$\" for x in u]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "103b9448-7451-414f-9d1b-255ab3a16be3",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "f= 0.3264 +- 0.0013\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>f in m</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.328</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.330</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.315</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.330</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.329</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   f in m\n",
+       "0   0.328\n",
+       "1   0.330\n",
+       "2   0.315\n",
+       "3   0.330\n",
+       "4   0.329"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "f=np.array([1.328-1,1.23-0.9,1.415-1.10,1.25-0.92,1.379-1.05])# in m\n",
+    "fzahl=np.mean(f)\n",
+    "stdf=np.std(f,ddof=1)/len(f)\n",
+    "print(f\"f= {fzahl:.4f} +- {stdf:.4f}\")\n",
+    "pd.DataFrame({r\"f in m\":f})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fea0603f-f361-40eb-bde7-ada3eb373c15",
+   "metadata": {},
+   "source": [
+    "**L Ö S U N G**\n",
+    "\n",
+    "Wir erhalten eine Brenweite der Linse von $f=0.3264 \\pm 0.0013 \\,\\mathrm{m}$ \n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2de86d51-f513-4cb8-9e91-b7618ad2e94b",
+   "metadata": {},
+   "source": [
+    "**D I S K U S S I O N**\n",
+    "\n",
+    "Es lässt sich beobachten, dass die gemessen Brennweiten alle deutlich enger bei einander liegen als es die Unsicherheit bei der Abschätzung, wenn der Lichtpunkt am kleinsten ist. Auch wird sich im Verlauf dieser Aufgabe zeigen, dass das Ergebniss nicht mit den Messwerten für $f$ aus den folgenden Aufgaben nicht vereinbar sind. Es ist davon auszugehen, dass in dieser Messung ein großer statischer Fehler (z.B. durch ungenaues bis falsches messen der Position). Durch die sehr änlichen  Messung in kurzem zeitlichen Abstand kann auch davon ausgegangen werden, dass die Messwerte nicht statistisch unabhängig sind und die Standartabweichung auf den Mittelwert so nicht die tatsächliche Unsicherheit repräsentiert. \n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2714c1d3-c6e6-400d-af74-1e76f52ac607",
+   "metadata": {},
+   "source": [
+    "### Aufgabe 1.2: Bestimmung von $f$ mit Hilfe des [Bessel-Verfahrens](https://de.wikipedia.org/wiki/Bessel-Verfahren)\n",
+    "\n",
+    " * **Bestimmen Sie $f$ der gleichen Linse** mit Hilfe des [Bessel-Verfahrens](https://de.wikipedia.org/wiki/Bessel-Verfahren). \n",
+    " * Beantworten Sie in Ihrer Auswertung die **folgenden Fragen**: \n",
+    "   * Warum muss der Abstsand zwischen Gegenstand G und Schirm S $a>4\\,f$ sein? \n",
+    "   * Wie ändert sich Ihre Messanordnung, wenn Sie $a$ vergrößern? \n",
+    "   * Warum ist beim Bessel-Verfahren B einmal kleiner und einmal gößer als G?\n",
+    "   * Warum kann es von Nachteil sein, wenn Sie das Verhältnis $a:f$ zu groß wählen?\n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2f27eb92-3248-407a-abe2-81e53ee3f029",
+   "metadata": {},
+   "source": [
+    "**V E R S U C H S B E S C H R E I B U N G**\n",
+    "\n",
+    "Es wurde die Brennweite $f$ bestimmt indem ein abzubildenes Objekt, im Versuch ein durlauchteter Diapositivfilm, in einer fester Entfenung $a$ zu einem Schirm plaziert. Die Linse wird im follgendem durch verschiebn zwischen dem Diapositivfilm und dem Schirm so plaziert, das auf dem Schirm eine scharfe Abbildung des Diapositivfilm zu sehen ist. Dabei bezwichnet $x_{1/2}$ den Abstand der Linse vom Diapositivfilm.\n",
+    "\n",
+    "Sei dabei der Abstand der Hauptachse der Linse zum Diapositivfilm $g=x$ und der Abstand der Hauptachse der Linse zum Schirm $b$ so tritt genau dann eine scharfe Abbildung auf ,wenn:   \n",
+    "$\\dfrac{1}{f}=\\dfrac{1}{b}+\\dfrac{1}{g}=\\dfrac{1}{x}+\\dfrac{1}{a-x}=\\dfrac{a}{(a-x)\\cdot x}$     \n",
+    "\n",
+    "\n",
+    "$\\Rightarrow f=\\dfrac{(a-x)\\cdot x}{a}\\ \\Rightarrow \\ x^2-ax+af=0 $  \n",
+    "\n",
+    "\n",
+    "$\\Rightarrow= 0.5 \\cdot ( a \\pm \\sqrt{a^2-4af} )$\n",
+    "\n",
+    "Es lässt sich ablesen, dass nur für $a>4f$ sich scharfe Bilder ergeben.   \n",
+    "Deshalb wurden  hier mit $a>1.35\\,\\mathrm{m}> 4 \\cdot 0.33\\,\\mathrm{m} > 4\\cdot f \\,\\mathrm{m} $ gearbeitet. Es ist aber auch von Vorteil a nicht zu groß zu wählen um bei der Anpassung der an dei Daten nicht den Einfluss von f auf $x_{1,2}$ vernachläßigbar klein zu machen. Es lässt sich ablesen, dass e mit steigedem a steigt.  \n",
+    "\n",
+    "Betrachten wir nun $e=|x_1-x_2|=\\sqrt{a^2-4\\,a\\,f}\\ \\ \\ \\Rightarrow e^2=a^2-4\\,a\\,f$    \n",
+    "Es wurden also für 5 verschiedne Abstände die beiden Positione der Linse bestimmt bei dem daas Bild scharf ist. Dabei gilt für den Vergrößerungsfaktor $\\beta=\\dfrac{b}{g}=\\beta=\\dfrac{a-x}{x}$. Wir erhalten so Wertepaare $\\beta_{1/2}$ jeweils zu den $x_{1/2}$. Dabei ist hier, da  $x_1+x_2=a$  und $x_1<x_2$,:   \n",
+    " $\\beta_1>1$ und $\\beta_2<1$.\n",
+    "\n",
+    "Nach der Messung wurde die mathematische Funktion an die Wertpaare {$a,e^2$} angepaast und so $f$ bestimmt.  \n",
+    "\n",
+    " Dabei wurden aus der geschätzen Genauigkeit beim Ablesen von $x_{1/2}$ , $\\Delta x_1=0.001 \\,\\mathrm{m}$ und $\\Delta x_1=0.003 \\,\\mathrm{m}$ abgeschätzt. Die Genauigkeit auf die Position des Schirms und des Diapositivfilms wurde auf $0.0005 \\,\\mathrm{m}$ abgeschäzt. \n",
+    "\n",
+    " Die weiteren Unsicherheiten wurden mittels der Phythonbibliothek *uncertanties* mithilfe von liniare Fehlerfortpflanzung berechnet. \n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5423f32a-7d9c-4264-92e3-8eeaba2088d8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a in m</th>\n",
+       "      <th>$x_1$ in m</th>\n",
+       "      <th>$x_2$ in m</th>\n",
+       "      <th>$e$ in m</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>$1.4000 \\pm 0.0007$</td>\n",
+       "      <td>$0.3270 \\pm 0.0011$</td>\n",
+       "      <td>$1.0760 \\pm 0.0030$</td>\n",
+       "      <td>$0.7490 \\pm 0.0032$</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>$1.4500 \\pm 0.0007$</td>\n",
+       "      <td>$0.3230 \\pm 0.0011$</td>\n",
+       "      <td>$1.1310 \\pm 0.0030$</td>\n",
+       "      <td>$0.8080 \\pm 0.0032$</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>$1.5000 \\pm 0.0007$</td>\n",
+       "      <td>$0.3190 \\pm 0.0011$</td>\n",
+       "      <td>$1.1830 \\pm 0.0030$</td>\n",
+       "      <td>$0.8640 \\pm 0.0032$</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>$1.5500 \\pm 0.0007$</td>\n",
+       "      <td>$0.3170 \\pm 0.0011$</td>\n",
+       "      <td>$1.2390 \\pm 0.0030$</td>\n",
+       "      <td>$0.9220 \\pm 0.0032$</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>$1.6000 \\pm 0.0007$</td>\n",
+       "      <td>$0.3120 \\pm 0.0011$</td>\n",
+       "      <td>$1.2910 \\pm 0.0030$</td>\n",
+       "      <td>$0.9790 \\pm 0.0032$</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                a in m           $x_1$ in m           $x_2$ in m  \\\n",
+       "0  $1.4000 \\pm 0.0007$  $0.3270 \\pm 0.0011$  $1.0760 \\pm 0.0030$   \n",
+       "1  $1.4500 \\pm 0.0007$  $0.3230 \\pm 0.0011$  $1.1310 \\pm 0.0030$   \n",
+       "2  $1.5000 \\pm 0.0007$  $0.3190 \\pm 0.0011$  $1.1830 \\pm 0.0030$   \n",
+       "3  $1.5500 \\pm 0.0007$  $0.3170 \\pm 0.0011$  $1.2390 \\pm 0.0030$   \n",
+       "4  $1.6000 \\pm 0.0007$  $0.3120 \\pm 0.0011$  $1.2910 \\pm 0.0030$   \n",
+       "\n",
+       "              $e$ in m  \n",
+       "0  $0.7490 \\pm 0.0032$  \n",
+       "1  $0.8080 \\pm 0.0032$  \n",
+       "2  $0.8640 \\pm 0.0032$  \n",
+       "3  $0.9220 \\pm 0.0032$  \n",
+       "4  $0.9790 \\pm 0.0032$  "
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a=np.array([ufloat(1.7,0.0005)-ufloat(0.3,0.0005),ufloat(1.75,0.0005)-ufloat(0.3,0.0005),ufloat(1.8,0.0005)-ufloat(0.3,0.0005),ufloat(1.85,0.0005)-ufloat(0.3,0.0005),ufloat(1.9,0.0005)-ufloat(0.3,0.0005)])\n",
+    "x1=np.array([ufloat(0.627,0.001)-ufloat(0.3,0.0005),ufloat(0.623,0.001)-ufloat(0.3,0.0005),ufloat(0.619,0.001)-ufloat(0.3,0.0005),ufloat(0.617,0.001)-ufloat(0.3,0.0005),ufloat(0.612,0.001)-ufloat(0.3,0.0005)])\n",
+    "x2=np.array([ufloat(1.376,0.003)-ufloat(0.3,0.0005),ufloat(1.431,0.003)-ufloat(0.3,0.0005),ufloat(1.483,0.003)-ufloat(0.3,0.0005),ufloat(1.539,0.003)-ufloat(0.3,0.0005),ufloat(1.591,0.003)-ufloat(0.3,0.0005)])\n",
+    "e=x2-x1\n",
+    "e2=e**2\n",
+    "\n",
+    "def efit(a,f=1):\n",
+    "    return a**2-4*a*f\n",
+    "data = kafe2.XYContainer(x_data=n(a),y_data=n(e2))\n",
+    "data.add_error(axis='y', err_val=s(e2))\n",
+    "data.add_error(axis='x', err_val=s(a))\n",
+    "data.label = 'Modellierung  $e^2$ '\n",
+    "fit=kafe2.XYFit(xy_data=data,model_function=efit)\n",
+    "\n",
+    "#fit.add_parameter_constraint(name=\"rho\", value=rho2.n, uncertainty=rho2.s)\n",
+    "fit.do_fit()\n",
+    "fit.assign_model_function_latex_name(r\"e^2\")\n",
+    "kafe2.plot(fit, x_label=r\"$a\\, [ \\mathrm{m}]$\", y_label=r'$e^2$ [$\\mathrm{m}^2$]')\n",
+    "f=ufloat(fit.parameter_values[0],fit.parameter_errors[0])\n",
+    "\n",
+    "pd.DataFrame({r\"a in m\":utl(a),r\"$x_1$ in m\":utl(x1) ,r\"$x_2$ in m\":utl2(x2), r\"$e$ in m\":utl(e)  })"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "354a1a55-7bb0-4e95-bc0d-a25eea6cffd1",
+   "metadata": {},
+   "source": [
+    "**L Ö S U N G**\n",
+    "\n",
+    "Wir erhalten: $f=0.25018\\pm0.00043\\,\\mathrm{m}$\n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f329b538-2bce-4383-a2ff-a0b9219ddb81",
+   "metadata": {},
+   "source": [
+    "**D I S K U S S I O N**\n",
+    "\n",
+    "Die Werte von $\\chi^2_{/ndf}=0.11$ und $\\chi^2_{prob}=0.978$ legen nahe das die Messwerte sehr gut durch die Modellfunktion beschrieben wird. Wie bereit in 1.1 erwäjnt sit das Ergebnis nicht mit dem Ergebnis aus der Aufgabe 1.1 vereinbar. Dort wurde auch dargelegt, mit welchen Schwierigkeiten die Messung in der 1.1 verbunden war.   \n",
+    "Das hier angwandte Verfahren zur Bestimmung der Brennweite istdabei auch weniger Fehleranfällig da es auch die Unsicherheit bei Lesen berücksichtigt und die schärfe einer Abbildung besser beurteilen lässt als der Punkt bei dem ein Lichtpunkt miniaml ist. Zudem erscheint eine Brenweite von 25 cm warscheinlicher, da Hersteller zu als glatt empfunden standalisierten Brennweiten neigen, wie $\\dfrac{1}{4} \\,\\mathrm{m}$ eine ist.\n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d2923da1-2d93-4d6e-9f1a-efe6fd5737d4",
+   "metadata": {},
+   "source": [
+    "### Aufgabe 1.3: Sphärische und chromatische Abberation\n",
+    "\n",
+    "Untersuchen Sie die **sphärische und chromatische [Aberration](https://de.wikipedia.org/wiki/Abbildungsfehler)** der Linse aus **Aufgabe 1.2**. \n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "34934c4e-ee61-48c9-a395-1fa100e928c8",
+   "metadata": {},
+   "source": [
+    "**V E R S U C H S B E S C H R E I B U N G**\n",
+    "\n",
+    "Zu der untersuchung der chromatischen Abberation wurde die Brennweite wie in 1.2, jeweils für rotes und Blaues Licht bestimmt um die Effekte der sperischen Abberation zu minimieren wurde eine Lochblende an die Linse befestigt die nur das Licht in der Mitte der Linse durchlässt. Es wurden hirzu Falbfilter in den Strahlgang eingeführt. \n",
+    "\n",
+    "Zu der untersuchung der spärischen Abberation wurde die Brennweite wie in 1.2, jeweils für Licht in der Mitte der Linse und  Licht am rand der Linse mithilfe von einer Lochblemde und ihrem näherungsweise Gegenstück bestimmt um die Effekte der chromatischen Abberation zu minimieren wurde einenur rotes Licht verwemdet.\n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a16b8669-6e17-4c75-bc3d-2524de9c6d1c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " wir erhalten zwischen den fs eine Pull von 0.69\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a in m</th>\n",
+       "      <th>$x_1$ mit Lochblende in m</th>\n",
+       "      <th>$x_2$ mit Lochblende in m</th>\n",
+       "      <th>$e$ mit Lochblende in m</th>\n",
+       "      <th>$x_1$ mit Antilochblende in m</th>\n",
+       "      <th>$x_2$ mit Antilochblende in m</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>$1.6000 \\pm 0.0007$</td>\n",
+       "      <td>$0.3120 \\pm 0.0021$</td>\n",
+       "      <td>$1.2900 \\pm 0.0050$</td>\n",
+       "      <td>$0.9780 \\pm 0.0054$</td>\n",
+       "      <td>$0.3130 \\pm 0.0021$</td>\n",
+       "      <td>$1.2910 \\pm 0.0050$</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>$1.5500 \\pm 0.0007$</td>\n",
+       "      <td>$0.3200 \\pm 0.0021$</td>\n",
+       "      <td>$1.2340 \\pm 0.0050$</td>\n",
+       "      <td>$0.9200 \\pm 0.0054$</td>\n",
+       "      <td>$0.3180 \\pm 0.0021$</td>\n",
+       "      <td>$1.2380 \\pm 0.0050$</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>$1.5000 \\pm 0.0007$</td>\n",
+       "      <td>$0.3250 \\pm 0.0021$</td>\n",
+       "      <td>$1.1840 \\pm 0.0050$</td>\n",
+       "      <td>$0.8630 \\pm 0.0054$</td>\n",
+       "      <td>$0.3200 \\pm 0.0021$</td>\n",
+       "      <td>$1.1830 \\pm 0.0050$</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>$1.4500 \\pm 0.0007$</td>\n",
+       "      <td>$0.3280 \\pm 0.0021$</td>\n",
+       "      <td>$1.1320 \\pm 0.0050$</td>\n",
+       "      <td>$0.8050 \\pm 0.0054$</td>\n",
+       "      <td>$0.3240 \\pm 0.0021$</td>\n",
+       "      <td>$1.1290 \\pm 0.0050$</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>$1.4000 \\pm 0.0007$</td>\n",
+       "      <td>$0.3340 \\pm 0.0021$</td>\n",
+       "      <td>$1.0750 \\pm 0.0050$</td>\n",
+       "      <td>$0.7420 \\pm 0.0054$</td>\n",
+       "      <td>$0.3320 \\pm 0.0021$</td>\n",
+       "      <td>$1.0740 \\pm 0.0050$</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                a in m $x_1$ mit Lochblende in m $x_2$ mit Lochblende in m  \\\n",
+       "0  $1.6000 \\pm 0.0007$       $0.3120 \\pm 0.0021$       $1.2900 \\pm 0.0050$   \n",
+       "1  $1.5500 \\pm 0.0007$       $0.3200 \\pm 0.0021$       $1.2340 \\pm 0.0050$   \n",
+       "2  $1.5000 \\pm 0.0007$       $0.3250 \\pm 0.0021$       $1.1840 \\pm 0.0050$   \n",
+       "3  $1.4500 \\pm 0.0007$       $0.3280 \\pm 0.0021$       $1.1320 \\pm 0.0050$   \n",
+       "4  $1.4000 \\pm 0.0007$       $0.3340 \\pm 0.0021$       $1.0750 \\pm 0.0050$   \n",
+       "\n",
+       "  $e$ mit Lochblende in m $x_1$ mit Antilochblende in m  \\\n",
+       "0     $0.9780 \\pm 0.0054$           $0.3130 \\pm 0.0021$   \n",
+       "1     $0.9200 \\pm 0.0054$           $0.3180 \\pm 0.0021$   \n",
+       "2     $0.8630 \\pm 0.0054$           $0.3200 \\pm 0.0021$   \n",
+       "3     $0.8050 \\pm 0.0054$           $0.3240 \\pm 0.0021$   \n",
+       "4     $0.7420 \\pm 0.0054$           $0.3320 \\pm 0.0021$   \n",
+       "\n",
+       "  $x_2$ mit Antilochblende in m  \n",
+       "0           $1.2910 \\pm 0.0050$  \n",
+       "1           $1.2380 \\pm 0.0050$  \n",
+       "2           $1.1830 \\pm 0.0050$  \n",
+       "3           $1.1290 \\pm 0.0050$  \n",
+       "4           $1.0740 \\pm 0.0050$  "
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "linse=ufloat(0.3,0.0005)\n",
+    "aspher=np.array([ufloat(x,0.0005) for x in [1.9,1.85,1.8,1.75,1.7]])-linse\n",
+    "x1aus=np.array([ufloat(x,0.002) for x in [0.613,0.618,0.62,0.624,0.632]])-linse\n",
+    "x2aus=np.array([ufloat(x,0.005) for x in [1.591,1.538,1.483,1.429,1.374]])-linse\n",
+    "eaus=x2aus-x1aus\n",
+    "eaus2=eaus**2\n",
+    "x1in=np.array([ufloat(x,0.002) for x in [0.612,0.62,0.625,0.628,0.634]])-linse\n",
+    "x2in=np.array([ufloat(x,0.005) for x in [1.59,1.534,1.484,1.432,1.375]])-linse\n",
+    "ein=x2in-x1in\n",
+    "ein2=ein**2\n",
+    "\n",
+    "\n",
+    "data = kafe2.XYContainer(x_data=n(aspher),y_data=n(eaus2))\n",
+    "data.add_error(axis='y', err_val=s(eaus2))\n",
+    "data.add_error(axis='x', err_val=s(aspher))\n",
+    "data.label = 'Daten Licht am Rande der Linse'\n",
+    "fit=kafe2.XYFit(xy_data=data,model_function=efit)\n",
+    "#fit.add_parameter_constraint(name=\"rho\", value=rho2.n, uncertainty=rho2.s)\n",
+    "fit.do_fit()\n",
+    "fit.assign_model_function_latex_name(r\"e^2\")\n",
+    "faus=ufloat(fit.parameter_values[0],fit.parameter_errors[0])\n",
+    "\n",
+    "data2 = kafe2.XYContainer(x_data=n(aspher),y_data=n(ein2))\n",
+    "data2.add_error(axis='y', err_val=s(ein2))\n",
+    "data2.add_error(axis='x', err_val=s(aspher))\n",
+    "data2.label = 'Daten Licht in der Mitte der Linse '\n",
+    "fit2=kafe2.XYFit(xy_data=data2,model_function=efit)\n",
+    "#fit.add_parameter_constraint(name=\"rho\", value=rho2.n, uncertainty=rho2.s)\n",
+    "fit2.do_fit()\n",
+    "fit2.assign_model_function_latex_name(r\"e^2\")\n",
+    "fin=ufloat(fit2.parameter_values[0],fit2.parameter_errors[0])\n",
+    "\n",
+    "kafe2.plot([fit,fit2], x_label=r\"$a\\, [ \\mathrm{m}]$\", y_label=r'$e^2$ [$\\mathrm{m}^2$]')\n",
+    "pullsph=pull(faus,fin)\n",
+    "print(f\" wir erhalten zwischen den fs eine Pull von {pullsph:.2f}\")\n",
+    "pd.DataFrame({r\"a in m\":utl(aspher),r\"$x_1$ mit Lochblende in m\":utl(x1in) ,r\"$x_2$ mit Lochblende in m\":utl2(x2in), r\"$e$ mit Lochblende in m\":utl(ein),\n",
+    "                r\"$x_1$ mit Antilochblende in m\":utl(x1aus) ,r\"$x_2$ mit Antilochblende in m\":utl2(x2aus), r\"$e$ mit Lochblende in m\":utl(eaus)})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "10c12355-db60-4c01-84a0-61ac87aa696f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[1.5999999999999999+/-0.0007071067811865475 1.55+/-0.0007071067811865475\n",
+      " 1.5+/-0.0007071067811865475 1.45+/-0.0007071067811865475\n",
+      " 1.4+/-0.0007071067811865475]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " wir erhalten zwischen den fs eine Pull von 2.23\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>a in m</th>\n",
+       "      <th>$x_1$ mit rotem Licht in m</th>\n",
+       "      <th>$x_2$ mit rotem Licht in m</th>\n",
+       "      <th>$e$ mit rotem Licht in m</th>\n",
+       "      <th>$x_1$ mit blauem Licht in m</th>\n",
+       "      <th>$x_2$ mit blauem Licht in m</th>\n",
+       "      <th>$e$ mit blauem Licht in m</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>$1.6000 \\pm 0.0007$</td>\n",
+       "      <td>$0.3120 \\pm 0.0011$</td>\n",
+       "      <td>$1.2910 \\pm 0.0030$</td>\n",
+       "      <td>$0.9790 \\pm 0.0032$</td>\n",
+       "      <td>$0.3150 \\pm 0.0011$</td>\n",
+       "      <td>$1.2900 \\pm 0.0030$</td>\n",
+       "      <td>$0.9750 \\pm 0.0032$</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>$1.5500 \\pm 0.0007$</td>\n",
+       "      <td>$0.3130 \\pm 0.0011$</td>\n",
+       "      <td>$1.2390 \\pm 0.0030$</td>\n",
+       "      <td>$0.9260 \\pm 0.0032$</td>\n",
+       "      <td>$0.3170 \\pm 0.0011$</td>\n",
+       "      <td>$1.2370 \\pm 0.0030$</td>\n",
+       "      <td>$0.9200 \\pm 0.0032$</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>$1.5000 \\pm 0.0007$</td>\n",
+       "      <td>$0.3200 \\pm 0.0011$</td>\n",
+       "      <td>$1.1820 \\pm 0.0030$</td>\n",
+       "      <td>$0.8620 \\pm 0.0032$</td>\n",
+       "      <td>$0.3240 \\pm 0.0011$</td>\n",
+       "      <td>$1.1850 \\pm 0.0030$</td>\n",
+       "      <td>$0.8610 \\pm 0.0032$</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>$1.4500 \\pm 0.0007$</td>\n",
+       "      <td>$0.3250 \\pm 0.0011$</td>\n",
+       "      <td>$1.1300 \\pm 0.0030$</td>\n",
+       "      <td>$0.8050 \\pm 0.0032$</td>\n",
+       "      <td>$0.3300 \\pm 0.0011$</td>\n",
+       "      <td>$1.1270 \\pm 0.0030$</td>\n",
+       "      <td>$0.7970 \\pm 0.0032$</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>$1.4000 \\pm 0.0007$</td>\n",
+       "      <td>$0.3330 \\pm 0.0011$</td>\n",
+       "      <td>$1.0730 \\pm 0.0030$</td>\n",
+       "      <td>$0.7400 \\pm 0.0032$</td>\n",
+       "      <td>$0.3360 \\pm 0.0011$</td>\n",
+       "      <td>$1.0720 \\pm 0.0030$</td>\n",
+       "      <td>$0.7360 \\pm 0.0032$</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                a in m $x_1$ mit rotem Licht in m $x_2$ mit rotem Licht in m  \\\n",
+       "0  $1.6000 \\pm 0.0007$        $0.3120 \\pm 0.0011$        $1.2910 \\pm 0.0030$   \n",
+       "1  $1.5500 \\pm 0.0007$        $0.3130 \\pm 0.0011$        $1.2390 \\pm 0.0030$   \n",
+       "2  $1.5000 \\pm 0.0007$        $0.3200 \\pm 0.0011$        $1.1820 \\pm 0.0030$   \n",
+       "3  $1.4500 \\pm 0.0007$        $0.3250 \\pm 0.0011$        $1.1300 \\pm 0.0030$   \n",
+       "4  $1.4000 \\pm 0.0007$        $0.3330 \\pm 0.0011$        $1.0730 \\pm 0.0030$   \n",
+       "\n",
+       "  $e$ mit rotem Licht in m $x_1$ mit blauem Licht in m  \\\n",
+       "0      $0.9790 \\pm 0.0032$         $0.3150 \\pm 0.0011$   \n",
+       "1      $0.9260 \\pm 0.0032$         $0.3170 \\pm 0.0011$   \n",
+       "2      $0.8620 \\pm 0.0032$         $0.3240 \\pm 0.0011$   \n",
+       "3      $0.8050 \\pm 0.0032$         $0.3300 \\pm 0.0011$   \n",
+       "4      $0.7400 \\pm 0.0032$         $0.3360 \\pm 0.0011$   \n",
+       "\n",
+       "  $x_2$ mit blauem Licht in m $e$ mit blauem Licht in m  \n",
+       "0         $1.2900 \\pm 0.0030$       $0.9750 \\pm 0.0032$  \n",
+       "1         $1.2370 \\pm 0.0030$       $0.9200 \\pm 0.0032$  \n",
+       "2         $1.1850 \\pm 0.0030$       $0.8610 \\pm 0.0032$  \n",
+       "3         $1.1270 \\pm 0.0030$       $0.7970 \\pm 0.0032$  \n",
+       "4         $1.0720 \\pm 0.0030$       $0.7360 \\pm 0.0032$  "
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "linse=ufloat(0.3,0.0005)\n",
+    "achrom=np.array([ufloat(x,0.0005) for x in [1.9,1.85,1.8,1.75,1.7]])-linse\n",
+    "x1rot=np.array([ufloat(x,0.001) for x in [0.612,0.613,0.62,0.625,0.633]])-linse\n",
+    "x2rot=np.array([ufloat(x,0.003) for x in [1.591,1.539,1.482,1.430,1.373]])-linse\n",
+    "x1blau=np.array([ufloat(x,0.001) for x in [0.615,0.617,0.624,0.63,0.636]])-linse\n",
+    "x2blau=np.array([ufloat(x,0.003) for x in [1.59,1.537,1.485,1.427,1.372]])-linse\n",
+    "print(achrom)\n",
+    "erot=x2rot-x1rot\n",
+    "erot2=erot**2\n",
+    "eblau=x2blau-x1blau\n",
+    "eblau2=eblau**2\n",
+    "def efit(a,f=0.2):\n",
+    "    return a**2-4*a*f\n",
+    "\n",
+    "data = kafe2.XYContainer(x_data=n(achrom),y_data=n(erot2))\n",
+    "data.add_error(axis='y', err_val=s(erot2))\n",
+    "data.add_error(axis='x', err_val=s(achrom))\n",
+    "data.label = 'Daten rotes Licht '\n",
+    "fit=kafe2.XYFit(xy_data=data,model_function=efit)\n",
+    "#fit.add_parameter_constraint(name=\"rho\", value=rho2.n, uncertainty=rho2.s)\n",
+    "fit.do_fit()\n",
+    "fit.assign_model_function_latex_name(r\"e^2\")\n",
+    "frot=ufloat(fit.parameter_values[0],fit.parameter_errors[0])\n",
+    "\n",
+    "data2 = kafe2.XYContainer(x_data=n(achrom),y_data=n(eblau2))\n",
+    "data2.add_error(axis='y', err_val=s(eblau2))\n",
+    "data2.add_error(axis='x', err_val=s(achrom))\n",
+    "data2.label = 'Daten blaues Licht '\n",
+    "fit2=kafe2.XYFit(xy_data=data2,model_function=efit)\n",
+    "#fit.add_parameter_constraint(name=\"rho\", value=rho2.n, uncertainty=rho2.s)\n",
+    "fit2.do_fit()\n",
+    "fit2.assign_model_function_latex_name(r\"e^2\")\n",
+    "fblau=ufloat(fit2.parameter_values[0],fit2.parameter_errors[0])\n",
+    "\n",
+    "kafe2.plot([fit,fit2], x_label=r\"$a\\, [ \\mathrm{m}]$\", y_label=r'$e^2$ [$\\mathrm{m}^2$]')\n",
+    "pullchrom=pull(fblau,frot)\n",
+    "print(f\" wir erhalten zwischen den fs eine Pull von {pullchrom:.2f}\")\n",
+    "pd.DataFrame({r\"a in m\":utl(achrom),r\"$x_1$ mit rotem Licht in m\":utl(x1rot) ,r\"$x_2$ mit rotem Licht in m\":utl2(x2rot), r\"$e$ mit rotem Licht in m\":utl(erot),\n",
+    "                r\"$x_1$ mit blauem Licht in m\":utl(x1blau) ,r\"$x_2$ mit blauem Licht in m\":utl2(x2blau), r\"$e$ mit blauem Licht in m\":utl(eblau)})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a0534deb-1acb-4671-a6b0-8d0649867d5b",
+   "metadata": {},
+   "source": [
+    "**D I S K U S S I O N**\n",
+    "\n",
+    "Die Fits slegen bei einer Beurteilung mit den $\\chi^2$-Werten nahe dass alle Messreihen gut durch die Moddelfunktion beschrieben werden. bei den Messreihen zur chromatischen Abberation lässt sich vermuten, dass die Fehler möglicherweise unterschätz wurden. \n",
+    "\n",
+    "Der Pull von 0.69 zwischen den beiden Brennweiten bei spherischen Abberation legt nahe, dass die beide Brennweiten im Rahmen ihrer Unsicherheiten verträglich sind und daher die spährische Abberation nicht durch uns nachmessbar war. \n",
+    "\n",
+    "Der Pull von 2.23 zwischen den beiden Brenweiten bei chromatischen Abberation legt nahe, dass die beide Brenweiten im Rahmen ihrer Unsicherheiten  nicht verträglich sind und daher die chromatische Abberation durch uns nachmessbar war. Da aber die Unsicherheit warscheinlich ünterschätzt wurde, ist es auch möglich dass es mit besser Fehlerabschätzung die chromatische Abberation nicht in einem über die statistische Vereibarkeit übersteigendes Mass nachweisbar ist. \n",
+    "\n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d8f0f99b-e331-4dcc-b417-997937620630",
+   "metadata": {},
+   "source": [
+    "## Aufgabe 2: Vermessung eines Zweilinsensystems $L$"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e2eeb1d7-6d41-42ed-bf2f-314772e064fd",
+   "metadata": {},
+   "source": [
+    "### Aufgabe 2.1: Bestimmung von $f$ und der Lage der Hauptebenen $H_{1}$ und $H_{2}$ \n",
+    "\n",
+    "Bestimmen Sie, mit Hilfe des [Abbe-Verfahrens](https://de.wikipedia.org/wiki/Abbe-Verfahren), **für einen gegebenen Abstand $d$ der Linsen des im Messingrohr montierten Zweilinsensystems L** die Brennweite $f$, sowie die Lage der Hauptebenen $H_{1}$ und $H_{2}$, gemessen von einem Bezugspunkt X zwischen den Linsen, auf der optischen Achse von L. \n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1323190e-c537-4f30-8134-b4b7c98ce7fa",
+   "metadata": {},
+   "source": [
+    "**V E R S U C H S B E S C H R E I B U N G**\n",
+    "\n",
+    "Auf einer optische Bank von $2 \\mathrm{m}$ Länge mit Reitern wurde ein Messingrohr mit fest integriertem Zweilinsensystem befestigt. Ein $1 \\mathrm{cm}$ Lineal wurde als Gegenstand $G$ verwendet. Der Nullpunkt wurde auf $x=50\\pm 0.05\\mathrm{cm}$ eingestellt, sowie der Abstand $d$ der Linsen des im Messingrohr montierten Zweilinsensystems auf $d=18\\pm 0.1\\mathrm{cm}$. Das Messingrohr wurde auf die Abstände $g=0.3\\mathrm{cm}, 0.32\\mathrm{cm}, 0.34\\mathrm{cm}, 0.28\\mathrm{cm}, 0.365\\mathrm{cm}, 0.355\\mathrm{cm}$ mit einer Unsicherheit von $\\Delta g=0.1\\,\\mathrm{cm}$ vom Gegenstand $G$ gebracht und der Schirm jeweilig verschoben bis ein scharfes Bild entstand. Die Größe des Bildes $B$ sowie der Abstand Schirm-Linse $b$ wurden daraufhin mit Unsicherheiten von $\\Delta B=0.2\\,\\mathrm{cm}$ und $\\Delta b=0.5\\,\\mathrm{cm}$ gemessen.  \n",
+    "\n",
+    "Als Modelfunktion wurde Gleichung (7) benutzt:\n",
+    "\n",
+    "$$\n",
+    "\\begin{equation}\n",
+    "\\begin{split}\n",
+    "&x(\\beta; f, h_{x}) = f\\left(1+\\frac{1}{\\beta}\\right)+h_{x}; \\\\\n",
+    "&\\\\\n",
+    "&x'(\\beta; f, h_{x}') = f\\left(\\beta+1\\vphantom{\\frac{1}{\\beta}}\\right)+h'_{x}; \\\\\n",
+    "\\end{split}\n",
+    "\\end{equation}\n",
+    "$$\n",
+    "\n",
+    "wobei $\\beta=\\dfrac{B}{G}$ der Abbildungsmaßstab ist.\n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "710b0397-d559-49d2-b69c-47fbfd02ec3d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "########\n",
+      "# Data #\n",
+      "########\n",
+      "\n",
+      "    X Data  X Data Error  X Data Correlation Matrix\n",
+      "    ======  ============  =========================\n",
+      "    1.75    0.002         [1. 0. 0. 0. 0. 0.]      \n",
+      "    2.25    0.002         [0. 1. 0. 0. 0. 0.]      \n",
+      "    3.1     0.002         [0. 0. 1. 0. 0. 0.]      \n",
+      "    1.4     0.002         [0. 0. 0. 1. 0. 0.]      \n",
+      "    6.3     0.002         [0. 0. 0. 0. 1. 0.]      \n",
+      "    4.45    0.002         [0. 0. 0. 0. 0. 1.]      \n",
+      "\n",
+      "    Y Data  Y Data Error  Y Data Correlation Matrix\n",
+      "    ======  ============  =========================\n",
+      "    -0.2    0.001         [1. 0. 0. 0. 0. 0.]      \n",
+      "    -0.18   0.001         [0. 1. 0. 0. 0. 0.]      \n",
+      "    -0.16   0.001         [0. 0. 1. 0. 0. 0.]      \n",
+      "    -0.22   0.001         [0. 0. 0. 1. 0. 0.]      \n",
+      "    -0.135  0.001         [0. 0. 0. 0. 1. 0.]      \n",
+      "    -0.145  0.001         [0. 0. 0. 0. 0. 1.]      \n",
+      "\n",
+      "###############\n",
+      "# Fit Results #\n",
+      "###############\n",
+      "\n",
+      "    Model Parameters\n",
+      "    ================\n",
+      "\n",
+      "        hx = 0.0442 +/- 0.0030\n",
+      "        f = -0.1547 +/- 0.0021\n",
+      "\n",
+      "    Model Parameter Correlations\n",
+      "    ============================\n",
+      "\n",
+      "            hx       f      \n",
+      "            =======  =======\n",
+      "        hx  1.0      -0.9907\n",
+      "        f   -0.9907  1.0    \n",
+      "\n",
+      "    Cost Function\n",
+      "    =============\n",
+      "\n",
+      "        Cost function: chi-square (with covariance matrix)\n",
+      "\n",
+      "        chi2 / ndf = 2.958 / 4 = 0.7395\n",
+      "\n",
+      "        chi2 probability = 0.565\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from uncertainties import ufloat\n",
+    "import numpy as np\n",
+    "from kafe2 import XYContainer, Fit, Plot\n",
+    "\n",
+    "# Input data\n",
+    "d = ufloat(0.18, 0.001)\n",
+    "G = 1  # in cm\n",
+    "nullpunkt = ufloat(0.5, 0.0005)\n",
+    "g = np.array([ufloat(x, 0.001) for x in [0.3, 0.32, 0.34, 0.28, 0.365, 0.355]]) - nullpunkt\n",
+    "b = np.array([ufloat(x, 0.005) for x in [0.746, 0.826, 0.968, 0.699, 1.48, 1.181]]) - nullpunkt\n",
+    "B = np.array([ufloat(x, 0.002) for x in [1.75, 2.25, 3.1, 1.4, 6.3, 4.45]])  # in cm\n",
+    "Beta = B / G\n",
+    "\n",
+    "# Extract nominal values and uncertainties\n",
+    "g_nominal = np.array([val.nominal_value for val in g])\n",
+    "g_stddev = np.array([val.std_dev for val in g])\n",
+    "b_nominal = np.array([val.nominal_value for val in b])\n",
+    "b_stddev = np.array([val.std_dev for val in b])\n",
+    "Beta_nominal = np.array([val.nominal_value for val in Beta])\n",
+    "Beta_stddev = np.array([val.std_dev for val in Beta])\n",
+    "\n",
+    "# Fill XYContainer\n",
+    "xy_data = XYContainer(x_data=Beta_nominal, y_data=g_nominal)\n",
+    "xy_data.add_error(axis=\"x\", err_val=0.002)\n",
+    "xy_data.add_error(axis=\"y\", err_val=0.001)\n",
+    "xy_data.label = \"Data\"\n",
+    "\n",
+    "# Define model function\n",
+    "def Abbe(x, hx=1, f=1):\n",
+    "    return f*(1+1/x)+hx\n",
+    "\n",
+    "# Declare and perform the fit\n",
+    "fit = Fit(xy_data, model_function=Abbe)\n",
+    "results = fit.do_fit()\n",
+    "\n",
+    "fit.report(show_data=True, show_model=False)\n",
+    "\n",
+    "# Plot the result\n",
+    "plot = Plot(fit_objects=fit)\n",
+    "plot.customize(\"model_line\", \"label\", [(0, r\"Abbe Modelfunktion\")])\n",
+    "plot.customize(\"model_line\", \"color\", [(0, \"darkblue\")])\n",
+    "plot.customize(\"model_line\", \"linestyle\", [(0, \"solid\")])\n",
+    "plot.customize(\"model_error_band\", \"label\", [(0, r\"$\\pm1\\sigma$\")])\n",
+    "plot.customize(\"model_error_band\", \"color\", [(0, \"lightsteelblue\")])\n",
+    "plot.x_label = r\"$B$\"\n",
+    "plot.y_label = r\"$g\\,(\\mathrm{m})$\"\n",
+    "plot.plot()\n",
+    "\n",
+    "# Show plot in notebook\n",
+    "plot.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "f123a700-6ffe-43c8-941b-eccce5f4d83a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "########\n",
+      "# Data #\n",
+      "########\n",
+      "\n",
+      "    X Data  X Data Error  X Data Correlation Matrix\n",
+      "    ======  ============  =========================\n",
+      "    1.75    0.002         [1. 0. 0. 0. 0. 0.]      \n",
+      "    2.25    0.002         [0. 1. 0. 0. 0. 0.]      \n",
+      "    3.1     0.002         [0. 0. 1. 0. 0. 0.]      \n",
+      "    1.4     0.002         [0. 0. 0. 1. 0. 0.]      \n",
+      "    6.3     0.002         [0. 0. 0. 0. 1. 0.]      \n",
+      "    4.45    0.002         [0. 0. 0. 0. 0. 1.]      \n",
+      "\n",
+      "    Y Data  Y Data Error  Y Data Correlation Matrix\n",
+      "    ======  ============  =========================\n",
+      "    0.246   0.005         [1. 0. 0. 0. 0. 0.]      \n",
+      "    0.326   0.005         [0. 1. 0. 0. 0. 0.]      \n",
+      "    0.468   0.005         [0. 0. 1. 0. 0. 0.]      \n",
+      "    0.199   0.005         [0. 0. 0. 1. 0. 0.]      \n",
+      "    0.98    0.005         [0. 0. 0. 0. 1. 0.]      \n",
+      "    0.681   0.005         [0. 0. 0. 0. 0. 1.]      \n",
+      "\n",
+      "###############\n",
+      "# Fit Results #\n",
+      "###############\n",
+      "\n",
+      "    Model Parameters\n",
+      "    ================\n",
+      "\n",
+      "        hx = -0.1913 +/- 0.0054\n",
+      "        f = 0.1603 +/- 0.0012\n",
+      "\n",
+      "    Model Parameter Correlations\n",
+      "    ============================\n",
+      "\n",
+      "            hx       f      \n",
+      "            =======  =======\n",
+      "        hx  1.0      -0.9269\n",
+      "        f   -0.9269  1.0    \n",
+      "\n",
+      "    Cost Function\n",
+      "    =============\n",
+      "\n",
+      "        Cost function: chi-square (with covariance matrix)\n",
+      "\n",
+      "        chi2 / ndf = 2.564 / 4 = 0.6409\n",
+      "\n",
+      "        chi2 probability = 0.633\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Fill XYContainer\n",
+    "xy_data = XYContainer(x_data=Beta_nominal, y_data=b_nominal)\n",
+    "xy_data.add_error(axis=\"x\", err_val=0.002)\n",
+    "xy_data.add_error(axis=\"y\", err_val=0.005)\n",
+    "xy_data.label = \"Data\"\n",
+    "\n",
+    "# Define model function\n",
+    "def Abbe(x, hx=1, f=1):\n",
+    "    return f*(1+x)+hx\n",
+    "\n",
+    "# Declare and perform the fit\n",
+    "fit = Fit(xy_data, model_function=Abbe)\n",
+    "results = fit.do_fit()\n",
+    "\n",
+    "fit.report(show_data=True, show_model=False)\n",
+    "\n",
+    "# Plot the result\n",
+    "plot = Plot(fit_objects=fit)\n",
+    "plot.customize(\"model_line\", \"label\", [(0, r\"Abbe Modelfunktion\")])\n",
+    "plot.customize(\"model_line\", \"color\", [(0, \"darkblue\")])\n",
+    "plot.customize(\"model_line\", \"linestyle\", [(0, \"solid\")])\n",
+    "plot.customize(\"model_error_band\", \"label\", [(0, r\"$\\pm1\\sigma$\")])\n",
+    "plot.customize(\"model_error_band\", \"color\", [(0, \"lightsteelblue\")])\n",
+    "plot.x_label = r\"$B$\"\n",
+    "plot.y_label = r\"$b\\,(\\mathrm{m})$\"\n",
+    "plot.plot()\n",
+    "\n",
+    "# Show plot in notebook\n",
+    "plot.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "id": "ae1800fa-ccf8-4d21-9ed8-41cd944eea35",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "15.75+/-0.12 -23.5+/-0.6\n"
+     ]
+    }
+   ],
+   "source": [
+    "f1=ufloat(15.47,0.21)\n",
+    "f2=ufloat(16.03,0.12)\n",
+    "f=(f1+f2)/2\n",
+    "\n",
+    "h1=ufloat(4.42,0.30)\n",
+    "h2=ufloat(-19.13,0.54)\n",
+    "a=h2-h1\n",
+    "\n",
+    "print(f,a)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3d19d791-35d9-42cf-89bc-490ec098670c",
+   "metadata": {},
+   "source": [
+    "**L Ö S U N G**\n",
+    "\n",
+    "$\\chi^2/\\alpha\\,(g)=0.7395$ sowie ein $\\chi^2$-Wert von $\\chi^2=0.565$ woraus sich schließen lässt, dass die Daten ziemlich gut durch das Modell beschrieben werden. Die ermittelte Brennweite $f$ des Zweilinsensystems $L$ ist $f_g=(-15.47\\pm0.21)\\;\\mathrm{cm}$. Da keine Streulinse verwendet wurde, wir der Brennpunkt als Betrag von $f$ angenommen. Es wurde durch die Modelfunktion der Wert $h_x=(4.42\\pm0.30)\\;\\mathrm{cm}$ ermittelt.\n",
+    "\n",
+    "$\\chi^2/\\alpha\\,(b)=0.6409$ sowie ein $\\chi^2$-Wert von $\\chi^2=0.633$ woraus sich schließen lässt, dass die Daten ziemlich gut durch das Modell beschrieben werden. Die ermittelte Brennweite $f$ des Zweilinsensystems $L$ ist $f_b=(16.03\\pm0.12)\\;\\mathrm{cm}$. Der durch $b$ ermittelte $f_b$-Wert umfängt nicht ganz den durch $g$ ermittelte $f_g$-Wert. Das liegt höchstwahrscheinlich daran, dass manche Fehler beim händischen Messen unterschätzt wurden. Es wurde durch die Modelfunktion der Wert $h_x´=(-19.13\\pm0.54)\\;\\mathrm{cm}$ ermittelt.\n",
+    "\n",
+    "Zur Bestimmung der Brennweite $f$ des Zweilinsensystems $L$ ermitteln wir den Mittelwert beider $f_{(g/b)}$-Werte. Somit gilt durch Hilfe von `ufloat` zur Bestimmung von Wert und Unsicherheit: $f=\\dfrac{f_g+f_b}{2}=\\dfrac{15.47+16.03}{2}=(15.75\\pm0.12)\\;\\mathrm{cm}$.\n",
+    "\n",
+    "Durch `ufloat` wird auch der Abstand der Hauptebenen $a$ ermittelt, somit gilt: $a=h_x´-h_x=-19.13-4.42=(-23.5\\pm0.60)\\;\\mathrm{cm}$.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c3d30014-b60d-4f5d-9fd2-8543cc43637d",
+   "metadata": {},
+   "source": [
+    "**D I S K U S S I O N**\n",
+    "\n",
+    "Die $\\chi^2$-Werte sind vielversprechend obwohl die Brennweite der Linsen negativ ist, dies ist aufgrung des bestimmten Nullpunktes das hinter der Linse liegt. Jedoch sollte der Abstand der Hauptebenen $a$ positiv sein. Ausserdem ist es fragwürdig, dass der Abstand $a$ größer ist als der Abstand $d$ zwischen beiden Linsen. \n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "36756154-4c21-45f2-a688-f4afdb7619bf",
+   "metadata": {},
+   "source": [
+    "### Aufgabe 2.2: Bestimmung von $f_{1}$ und $f_{2}$\n",
+    "\n",
+    "**Diese Aufgabe ist nur für Studierende mit Hauptfach Physik verpflichtend. Studierende mit Nebenfach Physik und Lehramtstudierende können diese Aufgabe überspringen.**\n",
+    "\n",
+    "Wiederholen Sie die Messung aus **Aufgabe 2.1** für mindestens **vier weitere Werte für $d$**. Bestimmen Sie aus den ermittelten Werten $f(d)$ die Brennweiten $f_{1}$ und $f_{2}$ der einzelnen Linsen.\n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b572e951-75df-43be-915c-08a5bf4171e3",
+   "metadata": {},
+   "source": [
+    "**V E R S U C H S B E S C H R E I B U N G**\n",
+    "\n",
+    "Mit der gleichen Einrichtung wurden die Größen $B$ und $b$ wie in Aufgabenteil 2.1 beim Linsenabstand $d=10\\mathrm{cm}, 12\\mathrm{cm}, 14\\mathrm{cm}, 16\\mathrm{cm}$ gemessen. Der Abstand Gegenstand-Linse $g$ wurde auf $g=28\\mathrm{cm}, 30\\mathrm{cm}, 32\\mathrm{cm}, 34\\mathrm{cm}, 36\\mathrm{cm}$\n",
+    "und $g=30\\mathrm{cm}, 32\\mathrm{cm}, 34\\mathrm{cm}, 36\\mathrm{cm}, 37\\mathrm{cm}$ bei $d=10\\mathrm{cm}$ gestellt, da bei $g=28\\mathrm{cm}$ die Bildgröße manuel unmessbar wurde.\n",
+    "\n",
+    "Als Modelfunktion zur Bestimmung von $f1$ und $f2$ wurde die Gullstrand-Formel, nach $f$ aufgelöst, benutzt:\n",
+    "$$\n",
+    "\\begin{equation}\n",
+    "\\frac{1}{f} = \\frac{1}{f_{1}} + \\frac{1}{f_{2}} - \\frac{d}{f_{1}f_{2}} = \\frac{f_{2}}{f_{1}f_{2}} + \\frac{f_{1}}{f_{1}f_{2}} - \\frac{d}{f_{1}f_{2}} = \\frac{f_{2} + f_{1} - d}{f_{1}f_{2}}\n",
+    "\\end{equation}\n",
+    "$$\n",
+    "Und somit gilt:\n",
+    "$$\n",
+    "\\begin{equation}\n",
+    "\\Rightarrow f = \\frac{f_{1}f_{2}}{f_{2} + f_{1} - d}\n",
+    "\\end{equation}\n",
+    "$$\n",
+    "\n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "20d40173-0f26-4d7e-b952-26e3d3f27dcc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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R8PjlmU9bmTJlAADR0dEAABcXlyzbBQYGolatWtixY0eu+n84jAIApVKJoUOHYvv27di5cycGDBiQy1ETERE9fQykiIiIKF9k7HyXbDQjJX35nSTZz34yWySkmSy4EWbAuVPROHc6FmdP3cPVS49feleugjPq1PVC7XqeqFXHA1Wqu0OtUdgtu0s2WQCT9MDMp8zhk7XOk9Ju6Z2cS+6eCkdnZ3j7+mZ5LiYqCiaTKdNxlUqV7QwpR2fnfB1ffshqx+bQ0FB8//33OHToEKKjo2E2m23n1Gp1rvpPSEjA9OnTsWbNGly9ehVJSfYF+2/fvp23gRMRET1lDKSIiIgoT2zL79IDqNQ0MwQASQjbzCezRULcfSPOnYnGuVMxOJc++yk+Lu2RfTs7q1G3gRfqNyyFuvW9ULOuJ/SOqgeCLQGTkGBKlaBUyLNcdvdw+KRVK6FRsd5TYRr8iCV229aswdAXXrALdGQyGX5YtQode/Z8WkN8YpGRkQAALy8vAMCqVavw8ssvw9HREZ06dUL58uXh4OAAmUyGJUuW4MaNGznuOy0tDe3atcPx48fRoEED9O/fHx4eHlAqlQgLC8PSpUthNBoL5LmIiIjyGwMpIiIieizrLCfr8rvkVGsNqDSTtZ6TRZJgNguYbLOf4nHq33s4cyIa505F4/rVeGQxacRGLpehSjU31Gvghbr1vVC3YSn4lXWyBVvm9FlWiSkmKOTWIuMPFxzPHD5ZZz8xfCo+OvbqhZ/+/hvvvvQSTCYTVCpVsQujAOtsKABo0qQJAGDSpEnQarU4duwYqlSpYtd2xYoVuep77dq1OH78OAYPHmyrO/VgX0uXLs37wImIiJ4yBlJERESUiRACaWbJGj6lz4IyWSQIYV0aZzJbZz8lp5hw4VwsTp+4hzP/RuPUv/dwP/bRtZ/c3LWo37AU6jXwQp0GXqhRywMandJWU0oSAkmpJsjl1hlPDioFlOmznzICJmv49MDSOy67KxE69uoFj1KlcCciAh6lShW7MOrSpUtYuXIlNBoNeqfvGHj16lXUqlUrUxh1+/ZtXL16NVMfCoUCAGCxZC7gn9G+R48emc7t2bPnicdPRET0NDGQIiIiIgghYDRJSDaakJI+C8ryUP0nk1nC/bhUnDlxD6dPROP0v/dw9nQ0jKnZ73ynVMpQrYYH6jXwQr2GpVCnnie8ffWwSIDJIsFiEbBAIMVots58St/JTqWQ24qKq5RyaNVK6DJmPqmVULDgOBUxe/fuRf/+/WE0GjFp0iT4ptfKKleuHK5cuYK7d++idOnSAIDU1FQMGzbMrpZUhozd+G7dupXpXLly5Wz36t69u+34rl27Ms2YIiIiKuoYSBERET2DrAGU5b8leEb7AMpktsBkkRBxKxGnjkfZAqgrl+4/cvmdk7MaDRqVQsPGpVG/USlUr+UBlVoOU3qoJYRAUqoZCnl63Se1fd0nuVyWHjxZZz7pNEooFfKn92KIHuPKlSuYNGkSAGtNp6ioKBw6dAhnzpyBQqHAhAkT8Nlnn9najxgxAiNGjECDBg3w4osvwmw2Y/v27RBCoF69ejh58qRd/4GBgZDJZBg/fjwuXLgAFxcXuLi4YNiwYejevTvKly+Pb7/9FmfOnEHt2rVx8eJFbNiwAb169cJff/31NF8FERHRE2EgRURE9Ax4cAZU5gDKOvspzWxB2PUE/HvkDk4ei8LJY/dwJzLpkf2W8XNEo8al0aBRKdRvVArlKrlAEoDJLFmX9gkJ5jQBlUIOnVoBpVIOpUIOuUwGGQBNevikUyug1SihVrLoOBVtV69exeTJkwEAOp0Orq6uqF69Oj799FMMGDAAlSpVsmv/zjvvQKVSYc6cOfj555/h6uqKoKAgfP3113jppZcy9V+zZk0sXrwY3333HWbOnAmj0Yhy5cph2LBhcHR0REhICD766CPs3r0boaGhqFWrFn7//XeULl2agRQRERUrMpHV3rRU5BgMBri4uCA+Ph7ORXCLYyIiKlqEsNZ5Sko1p8+CMmUOoEwWXLsaj3+P3sWJo1E4eSwK96JSsu1TJgOq13BHwybeaNCoFOo28IJHaQfbjnoZHykyZj8pFTKoFHIo0mc4KRVy26ynjFlQci69K3DF7TNECz8/3ImIgLevLw5ksWyNiIiISgbOkCIiIiohTGYJyakmJKUvw8tYIpexBC/NbMHlS/E4ceQOThyLwoljUYiNzr4AuVarQL0GpdCwSWnUb1gKtep5QuugTA+gBACBlFQzlEoZtGoFVAo5lEr72U86tRI6jRJajfU8Zz8REREREcBAioiIqNiyWCRb+JScakKa+b9d8NLMEoxpFly+EIvjR++mL8GLwv1YY7b96XRKNGxSGk2aeaNh09KoXtMDMoUsffmdBAHAmGaBUimHXqWASvlf7SeFXAatWgkHjRI6DWc/Ud4NGj0aiQYDHIvBbC4iIiLKOwZSRERExYQkrLvRJaUHUKlp1t3tLBYJaek1oK5fi8fRg3dw7NAd/HskCvFx2QdQDnoVGjUujSbNrQFU1RrugMy6+50kCRgtFihEevFxhRIqpQwKuXX5nVopty69S/9i7SfKL4NHjy7sIRAREdFTwECKiIioiLIVIk81ISnVhGSjBUIISJKwFSGPjEzCkYOROHboLo4fuoO7d5Kz7c/RSYVGTbzRuJk3GjctjUrV3CBk1qV+QggYzRYoFXJolNbi4yqFHHL5f8vvHB4IoLjzHRERERE9CQZSRERERYjZIiE51YzEVJNdHSiT2VqIPCY2FUcPZwRQdxF2LT7bvpyc1WjSzBpANWpaGhWruFp3wLPYB1BatXX5XUaNJ5lMBp3mgQCKy++IiIiIKJ8xkCIiIipE4oFleEnpy/AerAOVmJSG40fu4tihOzh++C4unI2FJGW9Qa5Go0DDJqXRvKUPmrbwQeXqbnYBVKpJgkopgy49gFKmB1ByucwWPjlolNCqFVx+R0REREQFioEUERHRU2YyS0hKNSEpxbojniRZl+GlmSWkmcw4fy4WB/fexpEDd3D63yikpUlZ9qNQyFC7rieatyqDpi18ULOuJ+QKWTYBlAJKxX8FyB00Sui01gBKo2IARURERERPFwMpIiKiAiaEQLLRjKQUExJTzUgzWWdBmdOLkd+7l4yDe2/j0P5IHNkfiZjo1Gz7qlLNDc1b+qBZSx/UaVgKWgelrQaUWUhQQZ51AKVVwSF9BpRaxQLkRERERFS4GEgREREVALtZUKlmSOnL8ExmC5JTzDhxPAqH9t3G4f2RuHguFiLrVXgo4+eI5i3LoFlLHzRsWhoubhrbLngAIEkiUw0oawClhINGxQCKiIiIiIokBlJERET5QAiB1DQLElNMSEwxwWibBSWQZrbgRpgBB/ZG4PD+Ozh26A6SEk1Z9qPTKdG0hQ9atfVF81Zl4O2rh9kiYJGsy/bMFgGNMj2AUtrXgMoIoTQMoIiIiIioiGMgRURElEcWSdhmQSWmmGB5oBZUQqIRh/ZH4tA+61K88LCEbPupVsMdAW180TygDGrX9wTkMpgtAoCAySJBrVTAQamESiGHXG5dhuegUdiW4bEIOREREREVNwykiIiIcsFktiAhPYBKMZohBGy1oMJvGrAn9Bb2747A8cN3YUy1ZNmHq5sGrVr7omWbMmjSwgcu7lpbHSgLAJVcBr1KAbVKDoVcDhkAbXr9J71WCa1GCTkDKCIiIiIqxhhIERERPUJ2S/FMZgkpRjP+PXYX+3ZF4MDu27h6OS7LPhQKGeo3LIWWbazL8CpVc4UkYFuGJ0kiUyFytUoBfcYyPK0SCrn8KT41EREREVHBYiBFRET0EEkIJKeabSGUOb2IeJrZguiYFOzbHYF9uyJweF8k4uOMWfbhVcoBbQL9ENDWFw2aeUOrs+6GBwhYhPhvGZ5SDnl6IXK9VgUHrRJ6rQoqJQMoouJOJpOhbdu2CA0NzVH74OBgLF26FNevX0f58uULdGxFWWhoKAIDAzFx4kRMmjQpz/1kvMOwsDC747dv38bHH3+MnTt3IjIyEkIIiOx2lshHYWFhqFChAgYMGIAlS5YUmb6IiAoLAykiIiKk14NKD6ASU02QJGsh8TSThEsXYxH6TzgO7LmNMyfuwWLJ+geXuvW90DrQDwFt/VChqissFgmSEJBBBhkAvVYJtVIOhcK6DE+nUdpCKNaBIio+3njjDfz6668oXbo0bt26BaWy+H+kzvj7R6vVIjIyEq6urpnaxMTEoEyZMkhLS4NGo0FqaupTHmX+CA4Oxo4dO9CvXz9UqlSpyP7dm12gRkRUUhT//3oSERHlkdkiITHFhIRkE5KNJls9qBSjGf8ejcKukJvYE3IL4TeyLkiud1ShVWtftA70Q7OAMnB2UcOUXoxckgQ0KgVUKjlUCuuudyqlHHqtCnqtEg5aFRTyovlDEBFlz2Aw4K+//oJMJsPdu3exceNG9OzZs7CHlS+USiVSU1OxfPlyDB8+PNP5X3/9FWlpacU6gEtLS8M///yDjh074rfffivs4eSZr68vzp8/DxcXl8IeChFRnhXf/5oQERHlgcksISElDYnJJiQbzRBCwGyRYEg04cDeCOz6Jxz7d0UgNibr3/yXr+iCtoF+aNXOD7XreULIrTWgZLDWftJrFVCrFFDIZZDJAAeNCnqdEo5aFdQqxVN+WiLKb3/88QeSk5Px4Ycf4rvvvsPChQtLTCBVqVIlCCGwaNGiLAOpxYsXo27duoiPj8edO3cKYYRP7s6dO5AkCd7e3oU9lCeiUqlQvXr1wh4GEdETYYEKIiIq8dLMFsQYUnHjTgKu3o7H3dhkxCUaERGZgD+WX8CIt/9Bh+Z/4qN3QrHh76t2YZRcLkPjZt74aHxTrNneG39u6IEho+qjRj0PCDmgVirg7KCGu7MGzno1XPRqeLpo4efliCq+rvAv5Qh3Jy3DKKISYuHChVCr1Rg7dixatWqFTZs2ITIy8pHXhIeH4+WXX4aHhwf0ej3atWuH/fv3Z9veYrFgypQpqFy5MrRaLapUqYJp06ZBSt8I4WG7d+9G9+7d4enpCY1GgypVqmDChAlITk7O9fMFBwfj2LFjOHXqlN3xo0eP4tSpUxg4cGC215rNZsycORP16tWDTqeDi4sLAgMDsXHjxizbp6Sk4JNPPoG/vz+0Wi1q166Nn3/++ZHju379OgYPHoyyZctCo9HAx8cHwcHBuHHjxmOfrV27dihXrhwAYOnSpZDJrL9IyKhT1a5du2yX7wUHB0Mmk9ktn1uyZAlkMhmWLFmCf/75BwEBAdDr9fDw8MCAAQMQExPz2DEBgNFoRJ8+fSCTyfDpp58iLCwMMpkMN27cwI0bN2zjfHCsGW2Cg4Mz9Xfz5k0MGjQIvr6+UKvV8PPzw6BBgxAeHp7lO5HJZDCbzfjiiy9QoUIFaDQaVK1aFXPnzs3R+ImI8oozpIiIqERKM1mQkGJCQnIaUtOsO+OlmSXcvGHAP9tvYE/ILZw8FpVlPSitVoGWrX0R+HxZtGhTBnpnNcwW6w+CQgg4aK3FyJUKefosKCX0OhVnQRGVcKdPn8aRI0fQu3dvuLu744033sDevXuxdOlSfPLJJ1lec//+fbRq1Qo+Pj546623EBERgT///BOBgYHYunUr2rVrl+ma9957DwcPHsRLL70ErVaLv//+Gx9//DGuXLmC+fPn27X96aefMHz4cLi5uaF79+7w8vLCkSNH8NVXX2Hnzp3YuXMn1Gp1jp9xwIAB+PTTT7F48WLMnDnTdnzRokVQq9V4/fXX8f3332e6TgiBl19+GX///TeqVq2Kd955B0lJSVi5ciW6deuGWbNmYeTIkbb2kiShR48e2LFjB+rUqYN+/fohJiYG77//PgIDA7Mc26FDh9CpUyckJSWhe/fuqFy5MsLCwvD7779j8+bNOHDgACpWrJjtswUHB6N+/fqYNWsW6tWrh169egFAln8GubF+/Xps2LAB3bt3x7Bhw7B7924sW7YMV69exd69ex95rcFgQM+ePbFr1y7Mnj0bI0aMQFxcHCZOnGh7z++9956t/ePGevnyZQQEBCAqKgrdu3dHrVq1cPbsWSxatAgbNmzAvn37ULly5UzXvfrqqzh06BC6dOkChUKBlStX4p133oFKpcKQIUNy+0qIiHKEgRQREZUY2YVQ167FYcfmG9i5/SbOn8n6N9aubhoEPl8Wbdv7o1Fzb8iVMmtB8vQd8HRqNVQq6454SoUcjjprLSi9VgU5a0HRM65x419x505SYQ/jkby99Th6tP8T9bFw4UIAQP/+1n5eeukljBw5EosWLco2kDp16hT69+9vm5EDAIMGDUJgYCCGDBmCixcvQi63X7Rw5MgRnDx5EmXKlAEATJ48GS1btsSCBQvw+uuvo3Xr1gCAc+fOYcSIEahfvz527NgBd3d3Wx9Tp07F2LFjMWfOHHzwwQc5fsYyZcqgU6dO+O233/Dtt99CpVIhNTUVf/zxh20WVlZ+++03/P3332jbti22bdtmC8HGjx+PRo0a4cMPP0T37t1RoUIFAMCyZcuwY8cOdO7cGRs2bIBCYQ3zR40ahcaNG2fq32Qy4ZVXXoEkSTh69Cjq1atnO7d37160a9cOo0aNwvr167N9tuDgYISFhWHWrFmoX7/+E+3g96B169YhNDQUrVq1AmCd4fb8888jNDQUBw8eRPPmzbO87u7du+jcuTPOnTuH5cuX45VXXgEAuLq6YtKkSbbd83IzzqFDhyIqKgrz58/HW2+9ZTu+YMECvP322xg6dCh27NiR6brw8HCcOXMGzs7OAKx/DrVr18Z3333HQIqICgwDKSIiKtZMZgsMyZlDqMuX72P75jCEbr+JS+fvZ3mtf1kntO9QFq3b+6NGXQ8IWH/LL5fLoFEqoFZlzIKSQatWwFGngqNOBY2KO+IRPejOnSRERCQW9jAKVFpaGn777Te4ubkhKCgIAODi4oKePXvizz//xO7du9GmTZtM1ykUCnz11Vd2f2e0bdsWXbt2xcaNG7F//34EBATYXTNy5EhbGAUAjo6O+Oyzz9C3b18sXbrUFkjNnz8fZrMZs2fPtgujAODjjz/GjBkz8Mcff+QqkAKAN998E5s2bcK6devQp08f/PXXX4iLi8Obb76Z7TUZ4cm3335rNyPLz88P77//PsaOHYvff/8dEyZMAGANpADgq6++soVRAFCnTh3079/fFv5l2LBhA8LCwvDFF1/YhVEAEBAQgJ49e2LNmjUwGAy2UOVp6devny2MAqx/5gMGDEBoaCiOHDmSZSB19epVdOzYEVFRUdiwYQM6dOjwxOMIDw9HSEgIatasmSlEGjJkCL7//nv8888/CA8Ph7+/v935KVOm2L23atWqoVWrVti1axcSEhLg5OT0xOMjInoYAykiIip2MgqTJySZkJJmtoVQFy7E2kKoq5fisry2ek13PN+pHNo85w//Cs4wp++KJ5fLoFYpoH5gKZ5eq0qfCaWCSsmyi0TZ8fbWF/YQHutJx7hmzRrExMRg6NChdoHLG2+8gT///BOLFi3KMpAqV65cph/+AaB169bYuHEjTpw4kSmQygicsjp24sQJ27GDBw8CALZs2ZLlrBeVSoULFy7k7AEf0KNHD3h6emLRokXo06cPFi1aZJs5lZ1///0XOp0OTZs2zXQuY5nZg2M/efIkHBwc0LBhw0ztW7dunSmQynjWCxcuZDljKKNY+aVLl7KcYVWQsnoGPz8/AEBcXFymcxcuXECrVq1gsVgQEhKCJk2a5Ms4/v33XwDWwPPhX5rIZDK0adMG58+fx8mTJzP9O/m4Z2AgRUQFgYEUEREVC2aLhIT0mVAZu+MZTRZcOBeDbenL8cKuxmd5ba06Hni+c3m0e74svP30tnpQMpkMjjoF1EoF5HLr0ryMWVBcikeUc0+6FK44WLRoEYD/lutl6NSpE7y9vbFq1SrMnj070+ycUqVKZdlf6dKlAQDx8Zn/3srqmlKlSkEul9u1j42NBWCdZZSfVCoVXnvtNfzwww/Yv38/du7ciTFjxtjNZHqYwWDIMngDYNvR7sGxx8fHZ9s+4908KONZf//990eOPSnp6S8ddXFxyXRMqbT+mGWxWDKdu3TpEu7fv4+AgADUqlUr38ZhMBgAZP3+gKz/HDLk9hmIiPIDAykiIiqyJEkgMcUEQ3IaklJMkISAySzh0qVYbFp/Hf9svoGbYYYsr61b3wsdulhnQnl562GRpCzrQamUcjg5qOGoU0Gn5lI8IsosPDwc27dvBwC7pVkPW7FihV3dHgCIiorKsu3du3cBZB0EREVFoVq1apmOSZJk1z4j/DIYDPk+g2XQoEGYNWsWXnrpJQghHrlcL2MsGc/0sIzjD4Z1Li4uj303D/cPWAuId+vWLUfPkFsZtbzMZrMtjMmQVYiTVz169ECFChUwadIkdOvWDRs2bICDg8MT95vxjnLz50BEVJgYSBERUZEihEBSqhmGpDQkpJgg0kOoGzfisXnDdWzfFIbLF7KuCdWwcSk817k82rb3g1spHSTJWpRcqZBBr1VDpbSvB+WkU0OtkjOEIqJHWrx4MSRJQkBAQKagCLDWl/r111+xcOHCTIHUjRs3sqzZs2fPHgBA/fr1M/W3Z8+eTMv2smrfrFkzHD9+HAcPHsyXGkQPqlOnDho1aoRjx44hICAAVapUeWT7Bg0aICQkBIcPH860bG/Xrl2Zxl6vXj3s3LkTx48fz7RcLONZH9SsWTMAwIEDBwoskHJzcwMAREREoFy5crbjkiTh5MmT+XqviRMnQi6X47PPPkNQUBA2btyYKZRSKBRIS0vLcZ8Z73f37t0Q6ZtyZBBCPPLfOSKiwsBAioiICp0QAqlpFhiS02BISoNFEjBbJETeScSWjdexfdMNnP73XqbrZDKgYZPS6NC5PFo/5w9Xdw0kISCXyaBOL0quSi9K7qBRwtHBGkKxHhQR5ZQQAosXL4ZMJsOyZctsu8Q97MyZMzh8+DDOnDmD2rVr245bLBaMHz/ebpe9Xbt2YdOmTahcuTJatmyZqa/Zs2cjODjYVtg8MTERn3/+OQBrzaoMw4cPx88//4wRI0Zg+/btmUKvuLg4XL9+HQ0aNMjTsy9duhSXL19G9erVH9t2wIABCAkJwdixY7FlyxaoVCoA1nBnxowZUCqVeO2112zt+/fvj507d2L8+PF2u+ydPn0av/76a6b+e/bsibJly2LGjBno1KlTpnpdJpMJhw4dylSPKzcaN26Mv//+G0uWLMHEiRNtx2fMmIHr16/nud/sfPrpp5DJZPj0009tRe71+v9qnbm7u+PMmTNITU2FVqt9bH9ly5ZFYGAgdu7ciUWLFmHQoEG2c4sWLcLZs2fRvn37bJdKEhE9bQykiIio0JjMFsQnWUOoNLMEiyQQE5OCrZvDsH3zdRw/dBcWi8h0Xe26nujcrQICO5WzD6FUCmjSd8aTy2Rw0Krg5GCtCaVUMIQiotz7559/EBYWhsDAwGzDKAAYOHAg/v33XyxcuBAzZ860Ha9bty5CQ0PRvHlztG/fHrdv38aKFSugUqnw888/25aJPahJkyaoV68eXn75ZWg0Gvz9998ICwvDkCFD7IKY2rVrY+7cuRg2bBiqVauGrl27olKlSjAYDLh27Rp27dqF4OBg/PTTT3l69lq1auW4xlH//v3x999/Y+3atahbty66deuGpKQkrFy5EjExMfjuu+9QsWJFW/sBAwZg+fLl2LJlCxo0aIAuXbogNjYWf/zxBzp27IgNGzbY9a/RaLB69Wp06dIFbdu2xXPPPWcL/m7evIk9e/bAw8MjT0XcMwwcOBDffvstJk2ahBMnTqBSpUo4evQozpw5g7Zt29pmeuWnCRMmQC6XY/z48ejatSs2bdpkC6Xat2+Po0ePonv37mjdujXUajUCAgIeGbrNmzcPAQEBGDJkCNavX4+aNWvi3LlzWLduHby8vDBv3rx8fwYiorxiIEVERE+VRRJISJ8JlVGcPD7BiH+23cTWjddxcM9tmExSpusqVXFFl24V0L5TOZT21T8UQimgVMggl8ug16rglF6YXMEQioieUMZub4+rodSvXz98+OGH+O233/DNN9/YduJzc3PD+vXr8eGHH2L+/PlITU1F8+bN8fXXX2dbj+r777/HypUr8csvv+DWrVvw9/fHN998gw8++CBT2yFDhqB+/fqYMWMGdu/ejXXr1sHFxQVly5bF+++/jwEDBjzhG8gZmUyG1atXY9asWVi6dCnmzJkDtVqNhg0bYvTo0ejRo4dde7lcjrVr12Ly5Mn4/fffMWvWLFSqVAkzZsxA1apVMwVSgDWoO3nyJKZNm4ZNmzZh79690Gg08PX1Ra9evfDqq68+0TN4e3sjJCQEH330EbZt2walUonAwEAcPHgQX375ZYEEUgAwbtw4yGQyjBs3Dl26dMGmTZvg6OiITz/9FPfv38eGDRsQEhICSZIwceLERwZS1apVw9GjRzF58mRs2bIFGzduhJeXF4KDgzFx4kS7pYhERIVNJoTI/KtnKnIMBgNcXFwQHx/PQoREVOwIIZBsNCM+KQ0JySZIkoQ0kwWHDkZiw/+uImTbTSQlmjJd5+vniM7dKuD5LuXhX9EJQiD7EMpBDUedEoosZhsQPcv4GYKIiIiKIs6QIiKiApNm+m9JnskiwWyRcPVqHNb+dQVb1l9DZETm7bk9vXTo2LU8OnQpj6q13CGlF2bVPLgcjyEUEREREVGxxkCKiIjylZS+JC8uKQ0pRjMkIRAdnYJN669h07prWRYnd9Cr0LFLeXQKKo86jbwgYF3+oVLKoVEpoFL+VxPK2UEFRwcVQygiIiIiomKMgRQRET2xjF3y4hKNSEg2wSJJSE4xY3doONb/7yr2hd5CWpp9XSiZDGgR4IugnhXRsp0vlGrrDksqlTWEUiv/2x3PWa9mYXIiIiIiohKEgRQREeWZ2SLBkGSdDZVmssAiSTh16h7WrLqC7ZvCcD82NdM1laq4olvvSni+a3m4umsBCNtMKLVKAblMBq1aAWe9Gk46NVRKhlBERERERCUNAykiIsoVW4HyxDQkpKRBkgSiY1Kwfu1VrFt9BRfPxWa6xs1diy7dK6BLj4ooX8UFAKBUyNPrQikgl8ugVsrhrFfD2UENtUrxtB+LiIiIiIieIgZSRESUI2aLhPikNMQlGmEySzCZLTiw7zb+XnUZodtvwphqsWuvUssR+FxZdOlREY2ae0OmsO6Qp1Fn7JBnLVDu5KCCs4MaWrUCMpmskJ6OiIiIiIieJgZSRESULSEEUoxmxD0wG+pWRAL+t+oy1v/vKm7dSMh0Tc3aHuj5YmUEdioLnV4Fmcw6+0mjVkClkEMu/y+E0muVDKGIiIiIiJ5BDKSIiCgTi0VCfHIa4hKttaFSjWb8s+Mm1qy8jAN7ImCxCLv2zs5qBPWshKDeFVG+iiuEyKgLpYRGlV6cXKuEi4Majg5qKOQMoYiIiIiInmUMpIiIyMY6G8oIQ7IJkiQhPDwBq1ZcxNpVl3EvKiVT+2YtfdD9hcpo1c4XSrUccrkMWpUCGrUSivS6UC56DZz1LE5ORERERET/YSBFRPSMk4RAQnIa7icYkZpmgclswe7QW1i5/CL2hd7KNBuqtLcDur9QGV17VoSXjx4yAGqVHFq1tS6UQiGHs4MaLnrWhSIiIiIioqwxkCIiekaZzBLuJxoRn2iE2SLh7t1k/LXyEv638hIiwhPt2srlMrRp74defaugYbPSkMllUCqsIZRapYA8fUmeq14DR50Kci7JIyIiIiKiR2AgRUT0DMkoUn4/wYiEFBMskoRDByLx5+8XsHPbTZhMkl17r1I69OpbFd16V4R7KR1kMhk0KoVtNpRKKYeL3jobSqVUFNJTERERERFRccNAiojoGSBJAob0ZXlGkwUJiWn43+rLWPnbBVy9HJepffNWZfDCy1XQNKAMFEoZVEo5tCol1CprnSgnnTWEcuAueUQEIOyOAeaHlvcWNUqFDOW9nQt7GERERJSOgRQRUQlmMkuISzQiLn1Z3vWweCxfeg7r/rqKBEOaXVsXVw169qmMbn0qwcfPETKZDFq1AlqVAgqFHGqVAq56NZz1aigVLFBORP8xWwRSjCaYzNLjGxcClVIOnUZV2MMgIiKiBzCQIiIqgVLTzIhNMCIhOQ1mi4R9eyLw+5Jz2BsaAUmyn8VQr6EX+rxSDa3a+0Gtti7D06qVUCvTZ0M5qOHqqIGOBcqJ6BFMZgnJRgvkRSyvliTAAYBOU9gjAcLDw+Hv71/YwyAiIioSGEgREZUQQggkpphwP8GIZKMZiUlp+N+qy1jx63lcuxJv11allqNLtwp44dVqqFTNDTIZoFUpoEmvDaVWKeDqqIaLgxoKzoYiohySywF3J21hD8NObEJqYQ8BZ8+exWeffYZ///0X165dK+zhEBERFQkMpIiIijlJEohPSsP9RCPSTBbcuGHAb0vOYu3qK5mW5ZUq7YA+r1ZFUO/KcHFT23bK06gUttpQro5q6DSsDUVElB+GDRuGBQsWQKlUwsfHp7CHQ0REVGQwkCIiKqbMFmt9qPsJ1vpQ//4bhcULTmPntpuwPFRcuH6jUuj7WjW0ausHhSpjpzwlVEo5VAo5XB01cHFkbSgiotzYsWMHGjVqBDc3t2zbxMTEYPPmzVi+fDlCQ0Of3uCIiIiKOAZSRETFTJrZgvsGI+KS0mA2W7B92w0s/eUMThyNsmunUsvRuVsF9HmlKipVd4NcJoNWrYRWbZ0Npdeq4OqohqNOxdlQRER50KFDB+zcuRPt2rXLts3KlSsBAMuXL39KoyIiIioeGEgRERUTqWlmxBqshcqTkk1YvfISfl98DjfDDHbt3D206NuvGrq/WBkubhooFXLoNNYi5QqFHC56NdwcNVCrFIX0JERElJW7d+9i2rRp+N///oewsDBIkv2uhQqFAnFxcXB0dCykERIREeUfBlJEREWYEAIpRjNiDEYkpZoQFZWE35acw8rlFxF/32jXtnxFF/QLroHnupSDWmOtC6XTKG1Fyt0cNXDRqyGXczYUEVFRc+DAAfTo0QOVKlXCO++8g40bNyIkJATVq1fHBx98AABwcnJiGEVERCUGAykioiJICIGkVDNiDKlIMZpx7WocfvnpFDauvYY0o8WubeNm3nh1QA00bultK1KuVSshl8vgqFPBzUkDBxYpJyLKMyEEkpKSsjyXkpKCxMREu2NarRZKZc4/ZkdFRaFnz54ICgrC4sWLIZPJMGrUKPTp0wdr165FpUqVEBgY+ETPQEREVNQwkCIiKkKEEEhIMSEmPhVGkwVnTkdjwdyT+GfLDUjSf4XKFQoZOnQpj5ffqI7K1d2gkMuhS58VpZDL4eLIZXlERPnlxo0bqFChQpbnunbtmunY4sWLERwcnOP+v/nmG1gsFnz//fe2Xx4oFAp88803WLt2LbZu3cpAioiIShwGUkRERYAQAobkNMQYjEgzWXD4UCTm/3gS+3dF2LXTO6rQq28VvPBKFZTy0UOtVECrUUCtVEClkMPNybpbnkLO3fKIiPKLj48P9uzZk+l469atMXv2bDRo0MDueNWqVXPV//Lly9G5c2e4urpmui8AaDSa3A2YiIioGGAgRURUiIQQiE9KQ4whFcY0M3btvIWf553Ev0fsd8xz99Dilf410L1vZTg6qezqQ+nUSrg5a+DE3fKIiAqERqNBQEBAlufq1KmT7bmciI6Oxp07d1C+fPlM5w4cOADAupsfERFRSVPif4V+584dDB48GD4+PtBqtahatSo+//xzpKWl5aqfOXPmYODAgahbty6USmstltDQ0Mded/LkSfTr1w++vr7QaDQoU6YMunTpgp07d+bxiYioJBBCIC7RiGuRBkTcS8Sa/13GC0FrMfzN7XZhlLePHh+Mb4I/N/VEv0E14eWpg7uTFk4Oarg6alC2tBPKlnaEs4OaYRQRUTGk1+shl8tx9uxZu+OpqakYM2YM2rZt+0SBFxERUVFVomdI3blzB82aNUN4eDh69eqFqlWrYu/evZg4cSIOHDiAjRs3Qp7DZS0jR44EYJ067eXlhTt37jz2mmXLluHNN9+Ei4sLunXrBl9fX0RHR+Po0aPYv38/awEQPYNsM6LiU5GcasKav65g4U+ncOO6wa5d+YoueP3NmmjfpSw0aiV0GiW0agXkchlc9Bq4O7E+FBEVPZIExCakFvYw7EhSwfWtUCie+JcBOp0Ozz33HNatW4eJEyeic+fOiIiIwDfffIOYmBisXbs2n0ZLRERUtJToQGrMmDG4efMm5s6di2HDhgGw/jA4cOBALF26FEuXLsXAgQNz1NeGDRvQqFEjeHt7Y+jQoZg/f/4j2x87dgyDBg1C06ZNsXHjRri5udmdN5vNeXsoIiqWMoKo+dOmI+5+PK5dM2LfqRqICLffmal6TXe8MbgWWgb6Qq1S2gqVKxVyuDpq4OakgVJR4ie3ElExpFLK4VDYg8iGSvlkf29KkgSDwZDpeHR0NAAgLi7O7riDgwPUanWO+1+4cCH69++Pzz//HJ9//jm0Wi1efPFFrFu3zlZHioiIqKSRCSHE45sVPwkJCfDy8oKvry+uXLli99uryMhI+Pn5oVmzZti/f3+u+84IpHbu3Il27dpl2aZLly7YunUrLl26hMqVK+f1MWwMBgNcXFwQHx8PZ2fnJ+6PiJ4OIQQMSWmINqQiZN1aTH13ECSLGQIK3MPrSEZtAECjJqXx+uBaaNS8NFRKa30otVIOlVIBd2cNXPUayOVckkdEufc0PkOE3THAbCnaHymVChnKe+ft+cPCwrLdZS8rud1lL0NMTAxiYmLg7+8PnU6X6+uJiIiKkxI7Q+rAgQMwGo3o0KFDpqnUPj4+qFOnDg4dOoTU1FRotdp8vXdcXBy2bduGBg0aoHLlyti1axcOHz4MpVKJZs2aoWXLlvl6PyIqeoQQSEg2ITo+BUkpJsz+YhF2LB1jOy+DBV5YBtdqo/DW2GDUbegFlVKeHkQpoFYp4OGkgbOetaGIqOjLa9BTXGS3y152crvLXgYPDw94eHjk6VoiIqLipsQGUpcvXwYAVKlSJcvzVapUwcmTJ3Ht2jXUrFkzX+99/PhxSJIEf39/9OjRA+vXr7c736FDB6xatQouLi7Z9mE0GmE0Gm3fZzVNnIiKHiEEElNMiE6vEbX27yuY/8MJmMJ+wMObdssg4KHahcZNP4FOo4RKKYdWrYCHsxaO3DGPiKjIeNQue0RERJQ3JbYQSXx8PABkG/pkTFnPaJefoqKsO2Rt2LABhw8fxpo1axAfH4/z58+jR48e2L59O956661H9jFlyhS4uLjYvvz9/fN9nESUv5JSTbh5NxE37yZgxYrz6Np+NcZ/uAc3wxKgQtYbIdy+dgnOejWc9Wr4eTmiXGknOHHHPCIiIiIiKuGKfCDl6ekJmUyW46/Q0NDCHjKk9O1cLBYLfvrpJ/Ts2RPOzs6oXr06Vq5cibJly2LVqlUIDw/Pto+xY8ciPj7e9vWotkRUuFLTzAiPSsDNuwlYs+Yyunf4G+NGW4OoDGp91qFyhWrVUbaUNYjirCgiIiIiInpWFPkle6+++ioSEhIe3zCdt7c3gP9mRmU3AypjCdyjls3lVUafCoUCQUFBduc0Gg06duyIX375BceOHct25pNGo4FG8/ACHyIqStJMFkTHp8KQnIYD+yLw3dSjOHsq2q5NwyalMXBYHZgN7pj9/mA8uI+ETCbDexM/hYNW9bSHTkREREREVKiKfCA1Z86cPF2XUTsqo5bUwy5fvgy5XI6KFSvmeWzZqVatGgDrlr8qVeYfNF1dXQEAKSkp+X5vIip4ZouEmPhUxCUacerUPcz45igO7r1t16ZuAy8MHlEXDRqXhkalgE7TE84Oakx5502YTSaoVCr8sGoVOvbsWUhPQUREREREVHiKfCCVV82bN4dGo8H27dshhLBbBhMZGYnTp0+jWbNm+b7DHgBUqlQJZcuWxc2bN3Hr1i34+fnZnT937hwAoHz58vl+byIqOJIkEJuQiliDEVev3sfMacewfVOYXZvKVV3x1sj6aN7aBxq1Eg4aJZQKOfRaFV594xVICVFINBjg6OzMMIqIiIiIiJ5ZJTaQcnZ2xssvv4xly5bhp59+wrBhwwBYd8AaO3YsJEnCkCFD7K5JTk7GzZs34eDggLJly+b53jKZDEOHDsW4ceMwbtw4LFmyBHK5tVzXrl27sHnzZpQvXx5NmjTJ+wMS0VMjhEB8Uhqi41MREZGAOTOPY82qy7BY/lt+V8bPEYOG18VzXcpCp1HBQftfEOXpooVOY/3rdvDo0YX1GEREREREREWGTDxY0KSEiYyMRLNmzXDr1i307t0bVatWxZ49e7Bv3z506tQJmzZtsgVFABAaGorAwEC0bds2U3H0qVOn4sKFCwCAAwcO4NKlS+jUqZOtZtXgwYPttgM2Go1o37499u/fj0aNGqFNmzaIjIzEX3/9BYVCgU2bNiEwMDDHz2IwGODi4oL4+HjbDoFEVPCSUkyIiktB1L0kzP/xJH5feh5pRovtvJu7FgOH1kbQC5Wgd1DBQaOCSimHg1YJTxcdHDQlNvcnomKCnyGIiIioKCrRPyn5+Pjg0KFDmDBhAjZu3IgNGzagbNmymDx5MsaMGWMXRj3Oli1bsGvXLrtjW7dutf1zu3bt7AKpjOWCU6dOxR9//IEff/wRjo6O6NatGyZOnIh69eo9+QMSUYExmiyIup+CuAQjli87h3mzTyA+zmg7r3dU4bU3a6JPv6pwdtJAr1VCpVRAp1bC01ULPQuVExERERERZatEz5AqSfjbTaKnI6Ng+f2EVGzbEobpU44g/MZ/O32q1Qq8+Fo1vBpcHR4eDnDQKqFRKaBRKeDlqoNeq7SrWUdEVNj4GYKIiIiKohI9Q4qIKKeEELifaER0fCpO/BuFbz4/hONH79q16dKjIga9Uxc+vno4aKxBlFqlgJeLDk4OKgZRREREREREOcRAioieeUkpJtyNS8H163H47puj2Lzumt35hk1KY/gHDVC9lgccNEpo1QqolAp4OGvh6qhmEEVERERERJRLDKSI6JmVZrIgKi4F92JTMP+HE1j88xm7guVlyztj2Hv10SrQFw5aFXQa68557k4auDtpIZcziCIiIiIiIsoLBlJE9MyRJIEYQypiDCnYsO4apn99GHcjk23nXd00GDi0Dnq8WNm6c55WBaVCBldHDTyctVAqcr4hAhERUWEwGAwlrmaYJEn4+uuv8dNPPyEpKQkDBgzAtGnToFJxIxEiouKIP1UR0TNDCAFDchquRxqwZ/8tvPbiRnw0ItQWRimVMvQLronl67vj5f7V4emmg5ODGq6OGlTwdkZpNweGUUREhOeeew7lypWDJEl2xyVJQmJiIlJTUx95fU7b5dXcuXOxefPmfO2zoMecE59++ik+++wzvPbaa2jQoAH++usvGI3Gx19IRERFEn+yIqJngtFkwa17iTh7KQaffLQLfbuvw/Ej/xUtb9nGF0v/6oZ3P2yIMt6OcNFr4KRTo1xpJ/h66qFWKQpx9EREVFQkJSVh9+7diImJwZkzZ+zOjRw5Ek5OTtDr9bh79242PeS8XV58+OGHUCqVePnll/O134Icc05ERERg2rRpmDt3LkaPHg0nJyfs27cPjo6OT30sRESUPxhIEVGJJkkC9+JScOVWHObNPYFObVdh9R+XIEkCgLVO1Lc/tsO3P7ZDjRrucHVUw1GnQhlPPcqWdoROw5XNRET0n8OHD8Pf3x9t2rTB/v377c5NmDABe/bsgSRJSElJybaPnLbLrfnz5yM8PBxvvfVWvvWZoaDGnFO///47AOC1115D6dKlMXLkSHz++edPfRxERJR/+JMWEZVYiSkm3L2fjMMHIzFp/D5cunDfds5Br8TAt+ugz2tV4aTXwEGjhFIph4ezFm5OGsi5cx4REWXhwIEDaNmyJapVq4YDBw5g6NChtnPe3t7w9vZ+bB85bZcb9+7dw4cffoijR4/ma78ZCmLMubF161Y0bNgQTk5OAKzLJseOHYtNmzaha9euhTYuIiLKO86QIqISx2SWcOteIk5fisbH74eiX58NdmFUUK+K+H1dd/QfXAtebg5w1Kng5qRBRR9neDhrGUYREVG29u/fj5YtW6JFixaZZkg9aM+ePXjuueeg1+vh5eWFyZMnQwiRp3YGgwHvvvsuSpcuDRcXF7Rq1Qrbtm2zazNv3jz4+vqiWrVq2Y6pefPm0Ol0iI6OBmCtC9WnTx+4uLhg1qxZcHZ2xrJlyx77DrZv344mTZpAq9WiYsWKttlLAPDbb79BJpNBJpNBqVTi7NmzOH78OBQKhe346tWrH3uPDKNHj4ZMJkNISAgOHToEmUyGli1bAgC6deuGr7/+Osd9ERFR0cJAiohKDCEEYhNScTUiHosWnUGXdqvx98rLtvNVa7hh3q8dMe7LFqhQzsVaJ8pBjfLeTvDx0LNgORERPdbBgwfRsmVLNG/eHNevX8e9e/eybDd8+HAEBgZi5cqVGDZsGL766ivMnDkz1+3S0tLQsWNH7N69G99++y3++OMPPPfcc+jRowdCQkJs7dasWYN69eo9cuyjRo1Camoq5s+fD8Bab2rjxo1Yu3YtvLy8kJCQgPDw8Me+gw8++AB9+/bFmjVr8MYbb2DQoEGIjY0FAPTo0QOhoaF48803ERgYiGrVqqFOnTp4/vnn8fbbbyM0NBSdOnV67D0ytGnTBsOHDwcADB06FDNnzrQt1atfvz727duXozETEVHRwyV7RFQipKaZcSc2Gf/+exeTxu/HqX//+wHB0VGFwe/WRc+XqsJZr4JOo4RKqUApVx2cHFSQcUYUERHlwMWLF5GWloY6depAoVCgTp06OHDgAHr06JGp7bJly9C7d28AQFBQECpWrIgPP/wQb7/9NvR6fY7bzZ07F0lJSTh48KDtuq5du8LR0RFTpkxB+/btYTKZcPr0abRr1+6R4+/bty8+/vhjzJ07FzqdDrNmzcKKFSts17Vu3Rp+fn6PfQ9z5szBgAEDAACdO3fGggULcPHiRbRo0QLOzs5o27YtmjdvjoCAAOzYsQMqlQoxMTFYv3491Gr1Y/t/UK9evXD16lUAwOTJk1GqVCnbuYyxHjhwAP7+/rnql4iICh+nAxBRsSZJAlH3k3H2Sgw+HbcXL3ZbZxdGdQwqj1/XdsOrb9SEl5sWep0Kni46VPRxhrNezTCKiIhy7MCBA2jcuDFMJhNSU1PRrFkzHDhwIMu2DRo0sPt+wIABUCgUOHnyZK7a/f333zh//jw8PDyg1WptXxMmTMDly9ZZwDExMTCbzXZBV1aUSiWGDx+O27dv44MPPsCsWbPQt29f23l/f/8c/XcxICDA7nu1Wg2j0Wh3TKPR4M8//8R7772H4cOHY/ny5bkOozLs3r0b1atXtwujANh22Ltx40ae+iUiosLFGVJEVGwlpZhw534ytm8Nw6Tx+3A3Mtl2rlwFZ7w/rgmatPCGo1YFtUoBR50KpVx1UKsUhThqIiIqrvbv34+dO3dCp9PZjrVp0yZH18pkMpQrVw43b9601UDKSbs7d+5g/vz5aNWqVaa2zs7OAJBlbarsuLm5AQBq1KiBd999N8fXPUihyNl/RytWrIiWLVsiLi4OVatWzdO9hBDYu3evXXCWQam0/ihjMpny1DcRERUuBlJEVOxYLBKi4lJwNSweX006gC0brtvOaTQKDHi7Nl5+ozpcnTTQaZRQqzKW5+XtN7NERESAdYbU7Nmz0aRJEwBAVFQUXn31VZjNZls4kuHhGUOSJOHatWvw8vLKVbsyZcrg7t27qF69ul07IQRu3boFAPDw8IBCoUBSUtIjx79lyxaMGDEC1apVw/nz53Hw4EE0b948h0+fezt37kRMTAx0Oh1WrVqVZaj0OKdPn0ZsbGyWwV9KSgoA6/MTEVHxwyV7RFSsJCSn4VqkAYsWnUbQc6vtwqimLbyx7H9BeHNoXZT2cLAtz6vg7cwwioiInojBYMC5c+fw0ksvoXnz5mjevDl69OgBjUaTaRkeAPzxxx923//www8QQmSaHfW4dq+++iqmTZuGU6dO2bVbuXIlunTpAsC6ZK527dq4fft2tuM/fPgwXnzxRQwfPhzr1q2DTCbDd999Z9fGYrE85i3kXExMDEaOHIl58+Zh3rx5mDhxoq0WVG7uuXv3bgBZz0SLiooCANSuXTsfRkxERE8bZ0gRUbFgtki4ez8FZ85FY+LYvTi0P9J2zsVVg3c/aogu3SvA0UENjUoBvVaJ0m4OXJ5HRERP7P79+/j111/h7OyMe/fuoXTp0gCAa9euwc/PD3/88Qd8fHxQpkwZ2zXTpk1DSkoKmjdvjpCQEMydOxc///yz3XK/nLQbPHgw1qxZgyZNmmDYsGFo2bIl7t27h08//RQ//vijrZ8ePXrgr7/+ynL8ly5dQlBQEJ577jnMnDkTcrkcQUFB+N///ofr16+jQoUK2LRpE3r37o02bdpg8+bNmWZ83b59G5cuXQJg3WlQkiS4uLjg9OnTSE1NxYkTJ1CqVCl4eXnh7NmzmD59Op577jnbOxk4cCBefvllTJ8+HZUqVYK/vz86d+6M3bt3Y8WKFVkWhgeAXbt2oWLFilkWW8+ordWsWbNH/vkREVERJahYiI+PFwBEfHx8YQ+F6KmSJEnEJxrFuesxYvSYnUKjmSGAabavTt1WiXWhV8WRC3fF2bAYcflWnIhPNApJkgp76ERERQI/Qzy5OXPmCAACgKhWrZrteO/evW3HR40aZTteunRpsW3bNhEQECA0Go2oWLGi+OWXXzL1m9N2RqNRTJo0SZQvX15otVrRoEED8ddff9m1uXXrltBoNOLGjRt2x2/fvi3Kly8vGjVqJJKSkmzHQ0JCBAAxYsQIIYQQf/31l1Cr1QKAOHr0aKYxjBo1yvasAETPnj3FtGnT7I7Vq1dPfP3117bv1Wq1iImJEUII4eXlZTs+aNAgIYQQ7du3FwBEUFBQtu++dOnSIjg4OMtzvXv3FhMmTMj2WiIiKtpkQuSiCiIVGoPBABcXF8THx9sKWBKVdNZZUcn490QUPvlgN86eirad8/HVY/S4JmjV1g+OOhVUSjlcHTXwctVCIedqZCKiDPwM8eyYNm0aIiIi8P333+e5j379+uG7776Dj49P/g3sEe7du4cvvvgCs2fPztV1V69eRZcuXXD8+HHbbntERFS8cMkeERVJhuQ0REQl4uefTuGHGcdhMkkAALlchr6vVcOb79SFp7sOOrUCWrUS3u4O0Gn4VxoRET27PvzwQ/To0QN79uxB69atc339/v37Ubly5acWRkmShG+//RYffvhhrq5LS0vDiBEjsGrVKoZRRETFGH96I6IixZJeK+rfk1H45INdOHPyv1lR5Su64JPJzVC/USk4alVQKuXwdNbB3VkDmUxWiKMmIiIqfDKZDCtXrsT48ePh6OiIBg0a5PjalJQUnD17FpMnTy7AEdrbuXMnBg0ahLJly+b4GqPRiDFjxmDKlCmoV69eAY6OiIgKGpfsFROcbk/PgsQUEyLuWWdFzfnuGNLS/psV9cqA6hg0vC7cXbXQqBRw0Krg486i5UREj8PPEM+mY8eOoVGjRoU9jHx37do1uLu7w9XVtbCHQkRET4gzpIio0EmSwL24FBw7cRdjP9iNUyfu2c6VLe+MsV80Q8NG3tCn14ryctHB1VHNWVFERETZKIlhFABUrFixsIdARET5hIEUERWqFKMZEfcSsXjhGXw35QiMRgsAQCYDXnmjBga/Wxfurjpo1QrotSp4uztApWTRciIiIiIiouKMgRQRFQohBGIMqTh3KQZjP9iN/Xtu2875l3PC2C+ao1Fjb9sOeqXcdHB24KwoIiIiIiKikoCBFBE9dSazBbdjkrHmf5cxcexexMel2c71fb0a3h5ZHx5u1llRjjoVSrtxVhQREREREVFJwkCKiJ4qQ1IartyMwxef7cea1Vdsx71K6TD2i+Zo2drPNiuqNGdFERERERERlUgMpIjoqZAkgbv3kxESehMfv7cLt28l2s4FdiyLjz5rCp/SemjVStaKIiIiohwJDw+Hv79/YQ+DiIjygD/tEVGBS00z43J4HCZP2o83XtpkC6P0ehXGf9kCX81ojbK+TnDQWIMoPy89wygiInpmSJKExMREpKamFvZQntjly5fRu3dveHp6wtPTE8OGDUNiYuLjL8zltWfPnkWfPn3Qtm1bu+MWiwXly5eHTCbL8qt379527Q8cOIAuXbrAy8sLXl5e6NevHyIjI/P28DlU0O8op/0vW7YM9evXh16vR+XKlTF9+nQIITK1O3bsGJ5//nnodDq4u7ujX79+iIiIyNvDExE9gDOkiKjACCFwP9GIE2eiMPrdnTh5/J7tXN0GXhj/VQtUruwGnVoBB60KPh4OUCsVhThiIiKip2/kyJH48ccfIZfLcfv2bZQuXbqwh5QnV65cQfPmzeHh4YExY8YgLi4Os2fPxtmzZxESEgKlMvsfPXJz7bBhw7BgwQIolUr4+PjY9RMXF4cJEyZk6v/SpUuYNm2aXSAVEhKCTp06oX79+hg3bhzi4+OxYMECdOzYEUeOHIFWq82Ht5L358zLtTntf+bMmRg9ejSCgoIwcOBAHD16FB999BEsFgvGjBlju+epU6fQunVr1KhRA19++SXu3r2LefPm4cCBAzhx4gRcXFzy/R0R0TNEULEQHx8vAIj4+PjCHgpRjpjNFhEelSBm/XRcODnPEsA0AUwTCuV08fbIbWLPyQhx+lq0uHAzVkTHpwhJkgp7yEREJRI/QxR9kZGRYs+ePQKAuH79emEPJ886d+4sfHx8RExMjO3Yli1bBADx008/5du1ffv2FVu3bhUDBgwQ5cqVy9HYxo4dKzQajYiLi7Md69Onj/Dz8xMpKSm2YydPnhQAxNatW3PUrxBCbN++XcTGxuaobUG/o5y0iYmJEXq9XgwePNiu/8DAQFG/fn27Yw0bNhRNmzYVaWlptmMhISECgJg+fXqOnpmIKDtcE0NE+S7FaMbFsPv4+INdGDX0HyQYrLvolfFzxNylHTB4eD14uGjhoFWhXGkneDhrWbiciIieWd7e3ggICCjsYTyR8PBwbNmyBYMHD4a7u7vteKdOndCwYUPMnz8/365duXIlOnbsmKvx/fnnn+jcubPdjB4hBBwdHe1mQmWcNxqNOe67Q4cOOHny5GPbFfQ7ymn/bm5uOHjwIL799ltbGyEEDAYDvLy87O558uRJjB07FiqVynY8MDAQrq6uuHTp0mOfmYjoUbhkj4jyjRAC9xOMOHQsEu+/sxMXz8fazrXvWBYfT2oGn1J6qFUKuDlq4OWqg1zOIIqIiCjD9u3bsWDBApw+fRplypTBF198gddeew0A8Ntvv6F///4AAIVCgZMnT8JoNKJJkyaQJAkAsGrVKrz44ouPvc+kSZNyNa733nsPrq6u2Z4/ePAgAKBHjx6Zzr344osYN24cDAYDnJ2d8/XanDh06BCuXbuGL7/80u74a6+9hj59+mDy5MkYP348YmNj8eqrr8Lb2xvt27fP070epaDfUUhISI77r127NgBr/bLjx49j2rRpOHfunK0PAPD398f9+/eh0Wjs+kpKSkJqamqm5ZJERLnFQIqI8oVFknAnJhm//noOn3+6HynJZgCARqPAyDGN8MLLVeDsoIFKKYePhx6OOtVjeiQiInr2fPDBB5gwYQK++OILHDx4EIMGDUKXLl3g7u6OHj16IDQ0FMuWLcPNmzdRrVo1CCHw/PPPo0KFCnj11VfRsGHDHN1n8uTJuRpXcHDwIwOpW7duAQDKli2b6Vz58uUBANeuXUP9+vXz9dqcWLFiBXQ6Xaag5oUXXsCXX36Jzz77DMuWLcP9+/dRpkwZ/PPPP9Dr9Xm616MU9DuKjY3Ndf9DhgzBokWLAAD9+vVD3bp17a5zcnLK1NfUqVNhsVjwyiuvZDpHRJQbDKSI6Imlpplx+WYcJozZi3V/X7EdL1/RBZO+bYU6db2gUyvgqFPBx0MPpYKrhYmIiLIyZ84cDBgwAADQuXNnLFiwABcvXkSLFi3g7OyMtm3bonnz5ggICMCOHTugUqkQExOD9evXQ61W5/g+Iovd1J5ESkoKAOtysId5enoCQLY7yT3JtY8jSRJWrVqFbt26ZRkyvfnmm1ixYgXOnDkDwLr8zs/PL8u+hBBISkrK9hkeHqNWq7UrUl7Q7yghISHX/ffp0wdt2rTB6tWrsXz5ckRHR2PLli3ZllLYsWMHpkyZggkTJqB69epZtiEiyin+VEhETyQu0YjQA7fwQtAauzCq2wuV8MuKzmjYoDT0GiVKuznAz8uRYRQREdEjPFxLSq1WZ6pnpNFo8Oeff+K9997D8OHDsXz58lyFUQWhVKlSAID4+PhM5zLClKxm2zzptY+zZ88eRERE4OWXX8507saNG2jSpAnKli2LK1euYOHChfjnn3/QoUMHJCcnZ9neyckp0xcAdO3aNdPx3377Ld+eMyfXZtS/yk3/Xbt2xYABA7B+/XqMHz8e27Ztw7Zt27Icw6VLl/DSSy+hTZs2+PTTT7NsQ0SUG5whRUR5IgmBqPspWLnqIsZ9sBtJSSYAgIODEh991hRde1aCo04FjUqBMh566DT864aIiOhxFApFjtpVrFgRLVu2RFxcHKpWrZrr++R3DamMWUXXr1+3zcbJcOXKFbs2+Xnt46xYsQKOjo7o2rVrpnMjR46Ek5MT1qxZA5VKhUqVKqFp06Zo2LAhfvzxR3z00Ud27X18fLBnz55M/bRu3RqzZ89GgwYN7I4//OdS0O8o43he3+OoUaPw1Vdf4cSJE+jUqZPdudjYWHTr1g3Ozs74888/c/zvKRHRo/AnRCLKNZNZwo07Bkz58hAWzT9tO16hkgu+nNEaNWp4QKdRwtlBjdLuOijknBVFRESUn3bu3ImYmBjodDqsWrUKffv2zdX1+V1DKiAgAFqtFlu2bEGTJk3szm3btg3VqlWDh4dHvl/7KGazGatXr0bPnj2h0+kynQ8JCcFbb71lt4Nc7dq1UbduXezatStTIKXRaLLdDbFOnTqP3SmxoN9Rz549n+g9ZswKezjMMpvN6Nu3LyIiIrBv3z67nfiIiJ4Ef0okolxJSjXhyKk7eLXPersw6vku5bDgj06oW8cLDlolvN0d4OPhwDCKiIgon8XExGDkyJGYN28e5s2bh4kTJ+Lq1au56kMIkauvjKLY2XF0dERQUBDmz59vK64NAKGhodi2bRsGDRpk1z48PDzP1+bUjh07EB0dneVyPQBwdnbG4cOH7eppRUdH49q1a5lCmfxQ0O8oN/3v3bs30/i+/PJLqNVqdO7c2e74yJEjERISgkWLFuW5sDwRUVY4Q4qIckQIgfsJRmzefh3vDw/BvShrLQKFUoYRHzXEK/1rwMlBDa1KgTKeemjV/OuFiIgoJ27fvo1Lly4BAA4ePAhJkuDi4oLTp08jNTUVJ06cQKlSpeDl5YWzZ89i+vTpeO6551CmTBkAwMCBA/Hyyy9j+vTpqFSpEvz9/QvlOb744gs0adIELVq0wJAhQxAdHY05c+agcePGGDFihK3dlClTMG7cOPzxxx+2ndpyem1urFixAi4uLpmWn2UYN24c3n33XQQGBqJ79+4wGo1YuHAhUlJS8N577+X4PgqFItsi4A8r6HeUkzaHDh1C69at0bFjRwQFBSEhIQHr16/HoUOHMHPmTPj6+trGkRF6NmjQAAkJCfjll1/snjs4ODjHz05ElImgYiE+Pl4AEPHx8YU9FHoGWSySuHUvQXzy2W6hUE4XwDQBTBNepX8U8349IY5fihLnb8SKW/cShdkiFfZwiYjoAfwMUfSNGjVKALB99ezZU0ybNs3uWL169cTXX39t+16tVouYmBghhBBeXl6244MGDSrUZzl27Jjo0KGDcHR0FL6+vmLYsGEiLi7Ors0vv/winJycxLZt23J97YMGDBggypUrl+W51NRU4eLiIoKDgx853rVr14qWLVsKZ2dnUapUKREUFCROnDiRZVuLxSLu37+f4y+j0ZhlPwX9jnLSZsmSJaJx48ZCq9UKvV4vAgICxJo1a+zanDhxQiiVSrt/Dx/86ty58yPfLRHR48iEyOc9X6lAGAwGuLi4ID4+Hs7OzoU9HHqGmMwSrt2Kw8cf7MK6v/9bDtCwaWl8/m0Ayvo7Q62So5SrA1wd1fwtGRFREcPPEET5IywsDBUqVMhx+8WLFyM4OLjgBkREVMxxTQ0RZSvZaMbx03cxfPB2nD4ZbTv+2qCaGDayPtyctVCrFPD15C56REREVLJlt8tedvKy+yER0bOEP0ESUZbiEo3YFhKGd4fssNWL0uoUGP9lC3QJqggHrRJ6nQplPPRQKli4nIiIiEq2R+2yR0REucdAiojsCCFwLy4Fi5acwcRP9iItTQIAeJfRY8qstmhQvxQ0agXcnbXwctFyiR4RERERERHlGgMpIrKxSAI37yRg8sR9WPrLWdvx+o1L4csZrVHOzxlqpQLeHg5wdlAX4kiJiIiIiIioOGMgRUQAAJPZgrOXY/HO2zuwf0+E7Xivl6rgw/FN4OashVatgK+nIzRqRSGOlIiIiIiIiIo7BlJEhBSjGXsPR2DIG1txI8wAAFAoZXjvk8Z49fUacNAq4ahTo4ynAxRy1osiIiIiIiKiJ8NAiugZZ0hOw/pNV/HOkB2IjzMCAFzdNPjiu9YIaO0LrVrJelFERERERESUrzjVgegZJYRAjCEVC345hYH9NtvCqIqVXfDLH53Rtq0/dBolynjoUcpVxzCKiIjoKZIkCVOnToWfnx/c3Nzw3nvvwWQyFfawnorw8PDCHgJlgX8uRJTfGEgRPYOEELgTm4zPP9+Pj0aFwmSy7qTXtKUPFvzeCdWreUCnUaJsKSc461m8nIiI6Gn79NNP8fnnn+O1115DixYt8Ndff8FoNBb2sB7r8uXL6N27Nzw9PeHp6Ylhw4YhMTExR9eePXsWffr0Qdu2bbNts2zZMtSvXx96vR6VK1fG9OnTIYTI0ziOHTuG559/HjqdDu7u7ujXrx8iIiIy9ZWfnuT95PTa/H72nPy5EBHlhUxk9Tc4FTkGgwEuLi6Ij4+Hs7NzYQ+HijFJErh+24AP3w/FmtWXbce796mMTz5rBjcXDXQaJXw9HaFSMrMmIiru+Bmi+ImIiECFChUwe/ZsDB06FEIIhIeHo2zZsoU9tEe6cuUKmjVrBg8PDwwZMgRxcXGYPXs2GjRogJCQECiV2VcLGTZsGBYsWAClUgkfHx+EhYVlajNz5kyMHj0aQUFB6NChA44ePYrffvsNU6dOxZgxY3I1jlOnTqF58+aoUaMG+vXrh7t372LevHnw9PTEiRMn4OLiUqTeT06vze9nz8mfCxFRngkqFuLj4wUAER8fX9hDoWLMZLaIE+ejRNMWvwlgmu1r2PvbxZELd8S5sBhx616isFikwh4qERHlE36GKH6++eYboVKphMFgKOyh5Ernzp2Fj4+PiImJsR3bsmWLACB++umnR17bt29fsXXrVjFgwABRrly5TOdjYmKEXq8XgwcPtjseGBgo6tevn+txNGzYUDRt2lSkpaXZ2oSEhAgAYvr06Tl+5u3bt4vY2NgctX2S95PTa/P72R/350JE9CQ4/YHoGWE0WbD3SAR6d1uDwwciAQBqjQKfTw/AW8PrwVGnhqeLDmU8HCCXs14UERFRYdm6dSsaNmwIJyenwh5KjoWHh2PLli0YPHgw3N3dbcc7deqEhg0bYv78+Y+8fuXKlejYsWO2593c3HDw4EF8++23tmNCCBgMBnh5eeVqHOHh4Th58iTGjh0LlUplaxMYGAhXV1dcunQpx8/doUMHnDx58rHtnuT95PTagnj2x/25EBE9Ce6yR/QMSDGaseWfMAx+YwtiY1IBWHfSmzqnHVq08IFGpYC3uwNc9JpCHikREdGza/To0Zg5c6bte5lMhhYtWmD//v3ZXjNp0qRc3eO9996Dq6trHkeYvYMHDwIAevTokenciy++iHHjxsFgMOR52ahMJkPt2rUBWAu+Hz9+HNOmTcO5c+cQEhKSq3G4uLjg/v370GjsP/ckJSUhNTUVPj4+eRrjozzJ+8nptUX12YmIssNAiqiES0wxYdX/LuHdt7YjOckMAChXwRnT5rZDjWoe0KgU8PXUw0GrekxPREREVJDatGkDo9GIuXPnYujQoahWrZothMnO5MmTc3WP4ODgAgmkbt26BQBZ1rkqX748AODatWuoX7/+E99ryJAhWLRoEQCgX79+qFu3br6MY+rUqbBYLHjllVeeeIwPe5Jx5fTaovrsRETZYSBFVILFJxmxeOkZfPTeLpjTd9Kr28AL035sBz8fJ2jUCvh5OUKjUhTySImIiKhXr164evUqAGvQVKpUqcdeI4rI/kQpKSkArEvrHubp6QkAOd5N7nH69OmDNm3aYPXq1Vi+fDmio6OxZcsWyGSyPI9jx44dmDJlCiZMmIDq1atnOi+EQFJSUpbjSUlJydSnVqu1K1L+JO8np9cW1LMTERUUBlJEJVSsIRUzZx3DVxMPIOOzakA7X3w5ow1Kueug0yjh5+UIpYKl5IiIiIqK3bt3o3r16jkKowrKzZs3kZycnKO2VapUgUKhsI03Pj7eFn5kyAhK8qsmVteuXQEAAwYMwIQJE/DVV19h27Zt6NSpU57GcenSJbz00kto06YNPv300yzveePGDVSoUOGR43nQ4sWLERwcbPv+Sd5PTq8tqGcnIiooDKSIShghBO7FpWDSpP2YN/uE7XhQ70oY/3lzuDpp4OSgRhkPPYuXExERFSFCCOzduxd9+/bN8TUFUUPqjTfewK5du3LU37179+Dp6Qk/Pz8AwPXr1zOFIVeuXAEAW5v8NGrUKHz11Vc4ceIEOnXqlOtxxMbGolu3bnB2dsaff/4JhSLrWeM+Pj7Ys2dPpuOtW7fG7Nmz0aBBA7vjVatWtfv+Sd5PTq+NjIzM1T1y+uxERAWFgRRRCSKEwO3oJLw/aidW/XHRdrz/4FoY+WFDOOrUcHXUoLSbDjIZwygiIqKi5PTp04iNjUWbNm1yfE1B1JAKDQ3NVZ8AEBAQAK1Wiy1btqBJkyZ257Zt24Zq1arBw8Mj1/0+TsZMrowAJjfjMJvN6Nu3LyIiIrBv3z673foeptFoEBAQkOW5OnXqZHsuw5O8n5xeW1DPTkRUULhWh6iEEELgeoQBA9/YbBdGjRrTCO9/3BiOOjW8XHQMo4iIiIqo3bt3A0CuAikhRK6+Mopb5zdHR0cEBQVh/vz5iI2NtR0PDQ3Ftm3bMGjQINux8PDwPN1j7969mY59+eWXUKvV6Ny5c67HMXLkSISEhGDRokX5Umz9UXIzLsD+HeX02qL67ERE2ZGJolIJkR7JYDDAxcUF8fHxed4ul0ouSRK4dOM+BvTbhMMH7wAAlEo5xn/ZHL1frAqtSoHS7g5wddQ8piciIipp+Bmi+Ojbty+OHz9uK2xe3Jw/fx5NmjSBr68vhgwZgujoaMyZMwe1atXC7t27odVqMWXKFIwbNw5//PFHlju6BQcHIzQ0FGFhYXbHDx06hObNm6Njx44ICgpCQkIC1q9fj0OHDmHmzJl47733cjWOefPmYfjw4WjQoAGGDx9udy+FQoHg4OAc/QJPqVTin3/+Qdu2bfPl/QDI8h3l9NqCevbs/lyIiJ6IoGIhPj5eABDx8fGFPRQqYiwWSZy6eE/Urb9EANMEME3odDPFjPnHxKmr98SFm/dFQnJaYQ+TiIgKCT9DFB+lS5cWwcHBhT2MJ3Ls2DHRoUMH4ejoKHx9fcWwYcNEXFyc7fwvv/winJycxLZt27K8fsCAAaJcuXJZnluyZIlo3Lix0Gq1Qq/Xi4CAALFmzZpcj+PEiRNCqVQKAFl+de7cOVN/FotF3L9/P8dfRqMxT+/nUe8oJ9cWxLML8eg/FyKivOIMqWKCv92krFgkCSfPR+O1lzbgwjnr1GxnFzW++6k9mjfzgVqlgJ+XIxw0LBdHRPSs4mcIoicXFhaW7S57WXl4lz0iIsqMP6USFVNmi4TjZ6LQr+8GXL0cBwBwc9di1s/t0aBBaWjVSvh5OUKr5o4pRERERE8iu132svPwLntERJQZAymiYshskXDo3zt4re8G3AgzAAC8Sukwe+HzqFPbC1q1Av5ejlCrGEYRERERPalH7bJHRER5w0CKqJgxWyTsPXIbr/fdgIhbiQAAnzJ6zF74PGpW94BWo4S/lyNUSm6iSUREREREREUTAymiYsRklrDrwC28/tIG3L2TDADwK+uIHxZ1QJVKbnDQWpfpKRUMo4iIiIiIiKjoKvE/td65cweDBw+Gj48PtFotqlatis8//xxpaWm56mfOnDkYOHAg6tatC6VSCZlMhtDQ0Edec/z4cfTt2xcVKlSATqdDuXLl0LNnT+zevfsJnoieVSazhB27buDl3utsYVT5Si6Yt6wjqlR2g16ngn8pJ4ZRREREREREVOSV6F327ty5g2bNmiE8PBy9evVC1apVsXfvXuzbtw+dO3fGxo0bIZfn7Id3mUwGwFrQUAiBO3fuYOfOnWjXrl2W7desWYM+ffpAo9Ggd+/e8Pf3R3h4OP73v/8hJSUl1ztvcIecZ5vJLGHbzjAM6vkBjClJkKBB6eq9MPuX51DOzxl6nQp+no6Qy2WFPVQiIipi+BmCiIiIiqISvWRvzJgxuHnzJubOnYthw4YBAIQQGDhwIJYuXYqlS5di4MCBOeprw4YNaNSoEby9vTF06FDMnz//ke3HjRsHIQT279+P+vXr244fP34cjRs3xueff86tYClHTGYJO3bfwMAXpsAhZT10sABQYEhwD5Tzc4aTgxplPPWQyxhGERERERERUfFQYtf2JCQk4M8//0TFihUxdOhQ23GZTIYpU6ZALpfj559/znF/QUFB8Pb2znH7a9euoUyZMnZhFAA0bNgQPj4+iIqKynFf9OwyWyTs3B+O4F5fQ5/4C2SwpJ+xYN7Yt3EidCt8GUYRERERERFRMVNiA6kDBw7AaDSiQ4cOtuV2GXx8fFCnTh0cOnQIqampBXL/WrVqITIyEqdOnbI7fuLECURGRqJ9+/aPvN5oNMJgMNh90bPFbLEWMH/txQ1QJGzNdF4IgT/nfp/p328iIiKivDp69CiaN28OT09PBAQE4PTp04U9JCIiKqFKbCB1+fJlAECVKlWyPF+lShVIkoRr164VyP1nzJgBBwcHtGzZEv3798fYsWPRv39/tGrVCq1bt37skr8pU6bAxcXF9uXv718g46SiyWKRsOdQBPq9uAHR91Kgwp0s210+e/Ypj4yIiIhKqujoaPTp0wczZszAvXv30KtXL/Tu3buwh0VERCVUiQ2k4uPjAQAuLi5Zns8o6pnRLr+1bdsWu3fvhre3N3777TdMnToVv/32Gzw8PDBw4ED4+Pg88vqxY8ciPj7e9hUeHl4g46SixyJJ2H/sNvr13YCou9bd9ORa3yzbVqlV62kOjYiIiEqwU6dO4fXXX0fLli0hk8nw9ttv4+rVqwVaauLu3buIiIgosP6fhlu3bmHz5s3YujXzjHZ6OvizElHxVOQDKU9PT8hkshx/hYaGFvaQAQCbN29Gu3bt0KxZM5w7dw7Jyck4f/482rVrh4EDB2L06NGPvF6j0cDZ2dnui0o+SRI4ePwOXnlhA+7cTgIAVKjkgqGfjc20NE8mk2H4uHGFMUwiIiIqgdq3b4+vvvrK9v2ePXvg4+MDDw+PTG2FEChbtuxjZ/0/yq1bt+Dr64vt27fbHY+Pj0e/fv3g4uKCKlWq4Ouvv0ZaWlqe75OdY8eO4fnnn4dOp4O7uzv69euX43BMCIElS5agevXq8Pf3R9euXR/5c8iVK1fg4uKSbZuZM2dm+rmmf//+me758DtftmwZ6tevD71ej8qVK2P69Oko6E3UL1++jN69e8PT0xOenp4YNmwYEhMTH3vdgQMH0KVLF3h5ecHLywv9+vVDZGRkntsBwNmzZ9GnTx+0bdv2ie9LRE9fkd9l79VXX0VCQkKO22cUHs+YGZXdDKiMmkzZzaB6ErGxsejXrx+qVKmCX3/9FXK5NferXr06li5disuXL2PWrFl45513UKlSpXy/PxVPkhA4cuoOXu2zHrcjrP9RL1fBGT8u7oDyZZ1RztcZnw1+AyaTCSqVCj+sWoWOPXsW8qiJiIioJIqKisLw4cMxa9YsKBSKTOf37duHyMhI9OnTJ8/3MJvNsFgsmY6PHTsWa9aswdixYxEdHY25c+fi/fffz/N9snLq1Cm0bt0aNWrUwJdffom7d+9i3rx5OHDgAE6cOPHInxGSkpLQv39/bN26FUOHDsXixYtRs2bNbH+BnJqair59+2ZbE9ZkMmHGjBlo1KiR3WZMzz33nF27h9/5zJkzMXr0aAQFBWHgwIE4evQoPvroI1gsFowZMya3ryRHrly5gubNm8PDwwNjxoxBXFwcZs+ejbNnzyIkJARKZdY/XoaEhKBTp06oX78+xo0bh/j4eCxYsAAdO3bEkSNHoNVqc9UOAIYNG4YFCxZAqVRmu/okN/0RUSEQJdTWrVsFAPH2229neb5evXpCLpeLlJSUXPf99ttvCwBi586dWZ5ft26dACBGjx6d5fmxY8cKAGLVqlU5vmd8fLwAIOLj43M9Xir6JEkSx07fFeUqzBfANAFME/7lfhIbdl0T58JixK17CUKSJNHc11eUB0RzX9/CHjIRERUT/AxRPB07dky0bNlSqFQqAUD8+uuvT+3eqampokWLFuL999/Pts0777wjOnbs+ET3uX79ugAgFi9ebHfc39/f7jO8xWJ5ovtkpWHDhqJp06YiLS3NdiwkJEQAENOnT8/2OkmSRK9evUTZsmXF+fPnc3SvIUOGCADZ/vywcOFCAUCEhoY+sp8H33lMTIzQ6/Vi8ODBdm0CAwNF/fr1czSuvOjcubPw8fERMTExtmNbtmwRAMRPP/2U7XV9+vQRfn5+dj97nTx5UgAQW7duzXU7IYTo27ev2Lp1qxgwYIAoV67cE92XiApHkZ8hlVfNmzeHRqPB9u3bIYSwW+4UGRmJ06dPo1mzZgWSimdMKb53716W5zOOazSafL83FT9CCJy/eh/9+q7HjevW35z5+jvixyUdULGcC5wc1CjjoYdMJsOg0aORaDDAkUs4iYiISqw7d+6gffv2GDx4MObOnQuNRoMyZco8tfsPGjQILi4umDZtWpbnJUnC6tWrMWXKlAK5/61bt2yrHgDYVhvkl/DwcJw8eRKrV6+GSqWyHQ8MDISrqysuXbqU7bWrV6/G1q1bcfbsWVSoUOGx9/rtt9/w888/Y8iQIfj5558znZckCd9++y3q1q2Lpk2bZtvPw+/czc0NBw8ehK/vf3VGhRAwGAzw8vJ67LjyIjw8HFu2bMGnn34Kd3d32/FOnTqhYcOGmD9/Pt5+++0srxVCwNHR0e5nr4xZaEajMdftAGDlypUAgOXLl2c75tz0R0SFoDDTsIL2xhtvCABi7ty5tmOSJIkBAwYIAGLRokV27ZOSksT58+fFjRs3Htnv42ZI3bp1SygUCqHT6cTJkyftzp05c0bo9Xqh0WjEvXv3cvws/O1mySRJkrh6M07Ub7jUNjOqtM+P4n/br4hzYTHi5t0EYZGkwh4mEREVY/wMUfx8/fXXolatWo9td/78efHXX3/luN9Dhw6JcuXKZZrFHxISIurXry/WrVsnvvrqK1G9enURFxeXbT87duwQarVa3L9/XwghxPjx48WAAQPEDz/8IOrVqyccHBxE3bp1xT///GN33c6dO0WrVq2ETqcT5cuXFyNGjLCbIZXxGf3Br7Zt29r1IUmSSEhIyPGXyWTK8hkMBoMwGo12xxITE4VWqxUTJ07M9tmbNm0qAgMDRadOnYSHh4dwdHQUQUFBmT7zCyHEuXPnhF6vF0OHDhU7d+7M8ueHjRs32p5Vo9GIzp07i1OnTj32nT/IYrGII0eOiJdeeknodDpx4MCBLMf+pO9u5cqVAoA4cuRIpr6//vrrR/4989dffwkAYtKkScJkMom7d++KFi1aCG9vb5GYmJjrdg961AypvPRHRE9PiQ6kbt++Lfz9/YVMJhMvvPCC+OSTT0SrVq0EANGpU6dM038z/kPx8H/4hBBiypQpYsCAAWLAgAGiatWqtj4yju3Zs8eu/YQJEwQAoVarxUsvvSQ+/vhj8corrwiNRiMAiGnTpuXqWfhhsmQKv5MgWrVZbguj3NzniD83XhRnw2LEjbsGYbEwjCIioifDzxDFz6BBg0SfPn1y1LZ3797i6NGjOWo7Z84codPpBABx+vRpIYR12Zynp6d44403xObNm4VMJhMODg7Cw8PD9rV//367fgYPHiy6detm+75t27ZCpVIJvV4v3n//fTFt2jTh5+cnHB0dbf/erV27ViiVSlGvXj0xdepU8cknnwi9Xm8XSO3Zs0csXrxYABA9e/YUixcvFps3b7a7d8Yyv5x+Pbwc8FEmTJggVCpVtkvx7t69K2QymQAgWrRoIaZNmybGjx8vSpUqJRwcHMThw4dtbRMTE0XNmjVFo0aNRGpqaraBlMlkEjdv3hQHDx4U06dPFxUqVBBKpVL8+OOPj3znD3rzzTdtz9uvXz+RlJSUZbsnfXczZswQAMTdu3cz9b18+XIBQPz7779Z3lsIIb788kshl8tFxYoVhZubm6hVq5Y4e/ZsnttleFQglZf+iOjpKbFL9gDAx8cHhw4dwoQJE7Bx40Zs2LABZcuWxeTJkzFmzJhcTf/dsmULdu3aZXfswa1d27Vrh4CAANv3X3zxBerWrYv58+dj+/btMBgMcHFxQdu2bTFixAh069btyR+QirV7cckY/OYW7Ntt3c3F0UmFmQvao3ZNT+i1Kvh5OkIulz2mFyIiIippfH19sXfvXkiS9NjPq/Pnz0eHDh2wcOFCNGrU6JFt3333XSgUCgwfPhyHDx9GhQoV0LNnT1SqVAkLFiyARqOBJEmP7MNkMuHvv//G7Nmz7Y7LZDLs2bMHDRo0AGD9HP7666/jwoULqFWrFgYNGoS2bdti06ZNUKvVAKy7+nXs2NHWR0BAAAICAjBw4EDUr18fwcHBme7v4+ODPXv2PHKMD6patWqO2u3YsQNTpkzBhAkTUL169SzbnDhxAkII9OjRA2vWrLGVBBk+fDhq166NUaNGYf/+/QCsBbcjIyNx/PjxR5bpUCqV8Pf3h7+/P5o1a4bhw4ejd+/eGDlyJAIDA1GjRo1s33mGPn36oE2bNli9ejWWL1+O6OhobNmyJdMOzU/67lJSUgBYlws+zNPTEwAeudvem2++iRUrVuDMmTMAgA4dOsDPzy/P7XIqv/sjonxU2IkY5Qx/u1my3E9IFX1eXmubGaXRzhDzlp0QZ6/HiGu344W5AIp3EhHRs4mfIYqfGzduCFdXV/H666+LgwcPivPnzz/yq1+/fsLBwUEsW7bssX1HR0cLAOLbb78VL774oihTpoyIiIjI8dg2btwotFqtMBgMtmNt27YVbdq0sWv34Iyg1atXZ7nUK7ui5gAeuWwuv128eFG4ubmJwMBAYTabs233+++/CwBi9+7dmc59+OGHQiaTCYPBIH7++WcBQPz8888iMjJSREZG2paO/fXXXyIyMvKRy8UiIyOFQqGwvYOs3nl2xo8fLwCILVu2PP7BcynjubIqO7J27VoBQJw4cSLLa8PCwoSvr6/o2rWruHLlili4cKHw8PAQTZs2tZvRldN2D3rUDKm89EdET0+JniFFVBQlppjw8Zhd+OtPa8FMpVKOr2e2QevWftBqlPAv5QhFPhfvJCIiouKjbNmyOHToED788EN07NgRBoMhR9cNGjQIKpUKr7zySrZtPDw8oFQqMX/+fERERGDXrl25Kpi+YsUKBAUFwcnJye74w7NxHnT58mUAQK1atXJ8n+xIkpTj9wEADg4OthlZWYmNjUW3bt3g7OyMP//8EwqF4pF9AYBOp8t0rkKFChBCIDExEb/99hsAYMiQIZna9enTBwBw4MABNG/ePMv7eHt7w93dHZGRkQCyf+dZGTVqFL766iucOHECnTp1sjv3pO8uY1bR9evXbTOiMly5csWuzcNGjhwJJycnrFmzBiqVCpUqVULTpk3RsGFD/Pjjj/joo49y1S6n8rs/Ispf/KmX6ClKMZoxddph/Dz3FABAJgM+m9oSHTuVh1alhL+XI5QK/t+SiIjoWVe1alWsW7cO8fHxENa6r9l+DRgwAE2aNMGZM2ceGUYBQHR0NMxmM65evYoFCxY8cme3hxmNRqxduxYvv/xyrp7F0dERAHD37l274xaLJVf9AMDNmzfh5uaW469H7cBmNpvRt29fREREYM2aNY/dnS5jKd/Ro0cznbtx4wb0ej28vLzw7bffYvPmzXZf33zzDQDgm2++wT///JNtGAVYd1m8d+8efH19c/3Ok5OTASBTYAQ8+bsLCAiAVqvFli1bMvW9bds2VKtWDR4eHlmOKyQkBF27drXb1bB27dqoW7euXVmUnLbLqfzuj4jyF2dIET0laSYLfl58Cl9POmA79sH4JujVuwo0KgX8SzlCpWQYRURERDm3bt06mM1m7Nmz55G1ijKcPXsWADB48GD0798/V/fatGkTLBYLgoKCcnVdmzZtAAA//PADpk+fbjs+d+5cAIAQIsd95WcNqZEjRyIkJAQrVqxA/fr1s2wTHh4Of39/ANZAqmbNmpg2bRpee+0124ylu3fvYuHChXjhhRegVCqzDPm0Wi0AoGnTpmjXrp3t+OnTp1GnTh3b9xaLBe+//z4UCgVeeeWVR77zvXv32tWwBYAvv/wSarUanTt3ztT+Sd+do6MjgoKCMH/+fLzzzjtwd3cHAISGhmLbtm220C3Dg+/O2dkZhw8fhhDCNpsuOjoa165dQ+3atW3X5LRdTuV3f0SUvxhIET0FZouEVWsv4cNRocj4zDXgrVroH1wLGrU1jFKrsp8iTkRERPSwK1euYMOGDVi2bFmONuuJiYnBwIEDASBTkJETK1asQI8ePWxL13Kqbt26eOWVV/Ddd98hPDwcrVq1wr59+7By5UoAQGpqao770mg0eRr7w+bNm4d58+ahQYMGSEhIwC+//GI7p1AoEBwcjKlTp2LcuHH4448/bDPP5s6di86dO6NJkyYYOHAgTCYTFixYALVajalTp+ZqDJGRkWjWrBkaNmyIPn36ICkpCWvXrsXRo0cxc+ZMVK1aFZ9++mmW7/zQoUNo3bo1OnbsiKCgICQkJGD9+vU4dOgQZs6cCV9f30z3y49398UXX6BJkyZo0aIFhgwZgujoaMyZMweNGzfGiBEjbO2mTJli9+7GjRuHd999F4GBgejevTuMRiMWLlyIlJQUvPfee7brctoup/K7PyLKZ4VSuYpyjQVJiy+LRRKb/rkmHJ2+txUxD+r9l/j3UpS4cDNWJKWkFfYQiYioBONniJLLbDYLk8mU47bPPfeccHd3FwDE+vXrc3WvxMRE4eDgINasWZPpXNu2bUXbtm3tjj1Y1FwIIVJTU8UHH3wgSpcuLdRqtWjWrJlYuXKlKFu2rFi3bp3dtSjgouYnTpwQSqVSAMjyq3PnzkIIIX755Rfh5OQktm3bZnf9oUOHROfOnYWbm5twcnISL7zwgrh27doj7/nw+8iwadMm0aZNG+Ho6Ch0Op1o1aqV7c/mUe9cCCGWLFkiGjduLLRardDr9SIgICDbtvnp2LFjokOHDsLR0VH4+vqKYcOGibi4OLs2Wb27tWvXipYtWwpnZ2dRqlQpERQUlGUR9Jy2y/CoouZ56Y+Inh6ZELmYI0uFxmAwwMXFBfHx8XB2di7s4VAOCSFw+MQd9OjyP0Tdta7pb9GmDGb99Byc9GqU8dTD2SH7QptERERPip8hCADee+89LFy4EL///jt69uyJpUuX4o033ijsYRER0TOMBWuICogQApfC4vDayxttYVSN2h74dlZbOOnVKO3mwDCKiIiICtyyZcswZ84cLF++3LZka/PmzYU8KiIietYxkCIqIHdjkxHcfzOuXo4DAPiVc8L389vDw00HD2ct3JweX3iUiIiI6EkcOXIEb7/9Nr788kt0794dbm5uKFOmDFasWIGJEyciISGhsIdIRETPKAZSRAUgPsmId4b/g4P7bgMAXNw0+H5+e/j7OsHVUQNPF20hj5CIiIhKurt37+KFF15At27dMHbsWACATCbDxIkTIZPJEBYWBp1OV8ijJCKiZxVrSBUTrP9QfKQYzRj/2V7M/PYoAECtlmPOwg4IaO0LJ50Kfl6Otm1niYiICho/Qzy70tLSkJycDEdHRyiV9ptrx8bGws3NjZ9JiIio0Cgf34SIcspktmDBolO2MAoAJnzVEq0CfKFTK1HGk2EUERERPR1qtRpqddb1Kt3d3Z/yaIiIiOzlSyAVERGBAwcO4MaNGzCZTPDw8EDt2rXRrFkzyOVcFUjPBosksGbjVXz83i7bsbdH1UevF6pAo1LAz8sRCjnDKCIiIiIiIqInCqS2bNmCr776Cvv378fDK/9kMhk8PDwwfPhwfPzxx3BwcHiigRIVZUIIHDoeibff3Ia0NAsAIKh3JQx7tx40amsYpVIynCUiIiIiIiIC8hhIpaamYsSIETh16hS6deuGjz/+GH5+frb16SkpKYiKisL58+exY8cONGzYEKtXr0bt2rXze/xERcL1WwYEv74Z92NTAQCNm3vjsy9bQqNWooyHHlq1opBHSERERERERFR05LqoeVJSEl5//XWMHDkSgYGBObrm6tWrGDlyJKZOnYo6derkaaDPOhYkLbruG1LRt+86/LPtJgCgbHlnLFnZFT6l9Sjt5gA3J00hj5CIiJ5l/AxBRERERVGu1xB99913mD9/fo7DKACoVKkS1qxZg0WLFsFgMOT2lkRFVorRjLHj99jCKEcnFabPbQfvUtYgimEUERERERERUWa5CqSSkpIwaNAglCpVKtc3UqlU+OabbxATE5Pra4mKIpNZwryfT2L+DycBAHK5DF9Mb41aNT3hqFOjlKuukEdIRERElDtHjx5F8+bN4enpiYCAAJw+fbqwh0RERCVUrgIpvV4PX1/fPN9MrVajQoUKeb6eqKiQhMCmHdcw7sPdtmPvftQQHTqUg1atRBlPB8hk3FGPiIiIio/o6Gj06dMHM2bMwL1799CrVy/07t27sIdFREQl1BPtspchKioKBw8eRFxcXJbn33jjjfy4DVGRIITAqXP38FbwNhiN/+2o9+aQ2lCrFPDz1EMh5456REREVLycOnUKr7/+Olq2bAkAePvtt/HRRx8hKioqTysk8oPJZMKFCxeeuA5tXvuJi4vD2bNn0apVqye6PxERZZbrouYP27p1K/r27YukpCRk1ZVMJoPFYnmSWxBYkLQouROThK6d/sK/x6IAAHUbeOHnXzvBxUkD/1KOcNCqCnmERERE/+FnCMqrTZs2YfDgwQgPD4dCUTg7Bv+/vfuOjqra3z/+TMtM2qSQQAKhSAkdBQxFqSrFCoiIqAgKXAG7qAiCiFIErv1eFUVAQEDuz4oIKNK7FQEBQwfpKEkgpM75/cGXkUgCKZNMZvJ+rTVrecqc85md7WLyZO99OnfurLS0NC1fvrxErtOuXTutWLHC/XtNjRo1VLlyZff7/nm8tElMTNQzzzyjVatWSZJ69OihSZMmKSQkJN/X2Llzp5o2baovvvhC7dq1u+j4a6+9pieffDLHvnvvvVczZ84sUu0Ayp4ij5B68sknVblyZf33v/9VtWrVmKYEv5aalqkhTyx3h1HlY4I08a22cobaVT4iiDAKAAD4hWPHjmnw4MF64403vBZGSVJaWlqJXueKK67QiRMn3Nv//MP6P49L0tq1a1WvXj2Fh4cXuc6i2Llzp1q0aKFy5cpp6NChOnXqlN58801t3bpVS5culdV6+V/90tLS1KNHjzwfRJWZmalXX31VTZs21cCBA937r7/+eo99DgBlR5EDqT179mj8+PG5pueAP8nMcumtt3/W7JnbJEkBAWa9/EZbVYlzKjzErvCQAC9XCAAA/MVPP/2kRx55RN9//70yMzM1c+ZM3XvvvSVy7/T0dHXt2lW33367evToUSL3LC2mTZtWoONbtmxR586d9euvv3o9kHrkkUdkt9u1fv16RUZGSpLatGmjzp0764MPPtCDDz542Ws8+uij+uWXX/I8PnPmTB08eFCzZs1S27ZtPVU6gDKqyAvdNG7cuMhDaIHSzmUY+mbpXj0/bI1731MjmqlZs1gFOWyqEBHI6EAAAOARR44c0XXXXaeWLVvq+++/17Zt23TbbbeV2P379eunsLAwTZo0qcTu6at++OEHpaSkeLsMHThwQIsWLVL//v3dYZQkderUSU2aNNHkyZMve41Zs2bp/fff14ABA3I97nK5NHHiRDVq1EjNmjXzWO0Ayq4iB1KTJk3SokWL9Nxzz2nfvn3av3//RS/A123b+af+9cA3ysg4N2y7S4+auuueurLbLKoUFUwYBQAAPGbatGmKi4vTv//9b1155ZWqU6dOrut/bd++XZ9++mm+r7tx40ZVq1ZNQ4YMybF/2bJlaty4sebPn69x48bpxx9/1Ny5cy85VW/kyJHq2bOnRo8erapVq8put6tRo0b64osvcpz3/PPP6+abb9b06dN1xRVXKDg4WF9//bWkcwHIVVddJYfDoaioKPXo0UPbt2+/6F7p6ekaNWqUatasqcDAQCUkJGjhwoU5zjl58qT69eunmJgYhYSEqGXLllq2bFmBrzN//nx17Ngxz8994fEJEybo/vvvl3RuKp/JZNIvv/yibdu2yWw26/nnn7+oRpvNpoceeijHfsMwdPr06Xy/srKyLqpr/fr1kpRrcHnHHXfo559/znManiRt27ZNAwcO1MCBA3X33Xfnes6iRYu0Y8cO/frrr4qIiNCNN96ozZs353lNALicIgdSaWlpMpvNevnll1W9enVdccUVF70AX3Yy6awGPLBYh/44LUmq36icho1qoQCbWZWigmW18EQ9AADgObt27VKdOnUue16dOnU0a9Ys/fjjj/m67saNG3Xs2DG9+uqr2rJliyRp7969uvPOO9WoUSPZbDaNGDFC+/fvV40aNRQVFaWoqCitW7fuomutWrVK8+bN0+uvv67evXtr5MiRSk1NVbdu3bRkyRL3eStXrtSKFSv0wAMPqHXr1ho5cqQcDodeeeUV9e7dWxERERozZowGDBigFStWKCEhQZs2bcpxr/Xr12vKlCnq27evnnvuOSUlJemWW25xB1uS1KVLF82dO1f33XefxowZozNnzujWW2/VH3/8UaDrfPLJJ/r222/zbMMLj1etWlX9+vWTdO6P9NOmTVOVKlVUt25dderUSZMnT1Z6enqO92ZlZemee+7Jcc19+/YpNDQ0369Zs2ZdVNfBgwclSVWqVLnoWLVq1SRJu3fvzvUznTlzRnfccYfq1Kmj119/Pc/P3rFjR+3fv1/r16/X2LFjtWPHDjVp0kRvv/12nu8BgEvxyKLmVqtVw4cPV/Xq1WXmcffwI2kZ2Ro2fLXWrT4kSYqIdGjCm+0UFmpXhYggBdqL/L8QAABADpUqVdLq1avlcrku+9168uTJ6tChgz744AM1bdr0kuc+/PDDslgsGjx4sDZu3KgrrrhCXbp0UY0aNfTee+/JbrfL5XLlu06r1aqlS5eqcePGkqTBgwerXr16Gj58uG644Qb3eWfOnNGjjz6qN954Q5L0xx9/6MYbb1TPnj01Z84c90jzxx57TA0aNNDjjz+eY3RTUFCQ1q5dq6pVq0o6t85R/fr1NXToUN10001KTk7WgQMHNGXKFPXq1UuSdMMNN6hhw4Zat26d7rjjjnxdp6DuuusupaWl6YMPPtAdd9zhDn4k6YknnlCnTp00d+5c9enTR5I0b948Va9eXddcc02O68TGxrqfipcf8fHxF+07e/asJCkiIuKiY1FRUZKk06dP53q9QYMG6fDhw/rpp59kt9vzvK/ValXlypVVuXJlNW/eXIMHD1a3bt306KOPqn379qpbt26+PwMASB4IpLZv365Ro0Zp2LBhnqgHKDWyXYY+mvub3n/73F/pLBaTxr7WWtWrhSksOEDhIXn/gw0AAFBY/fr105tvvqk+ffro4YcfVlhY2CXPr1+/vtq0aaN3331XvXv3vuS5d955pwYPHqyTJ0+qb9++OnHihL7//vtLBhF5adGihTuMkqTIyEg98MADGj9+vE6fPq2QkBBJ54KMC6evLVy4UBkZGRo5cmSOZQ9iYmLUv39//fvf/9bZs2cVGBgoSUpISHCHSJLkdDrVt29fjRkzRqdOnVJ4eLgSExNls9mUmJio+fPn67vvvpOUM4TJz3U8pWPHjqpfv77eeOMN9enTR8ePH9fy5cs1fPjwi8612+1q1apVke5Xvnx5SVJSUpI7gDrvfFgVGhp60fumTJmimTNn6v3335fD4dCRI0f0559/SpL+/PNPHTlyRKGhoQoODr7ovYGBgZo+fbri4uL08ccf64UXXijSZwBQ9hQ5kIqJidFff/3liVqAUsMwDP3461ENeWy5e9+gJxqrTZs4BdqtqhAZ5L3iAACAX6tSpYo2bNigp556Sh07drzk2j8X6tevn2w2m+666648zylXrpysVqsmT56sP/74QytWrFDFihULVWdua0zFxcVJUo5AqmnTpipXrpz7nGPHjklSrkt7VKlSRdnZ2Tp16pQ7kMpNbGyspHPLh0jSoUOHNHjwYC1cuFBVq1ZVvXr18vUZ/nkdT3rsscf0r3/9S6tXr9aWLVuUnZ2d65MSXS5Xvn/G0rmRXgEBOZ/ufL7d9+zZc1EgtXPnzhznXOj89L/cFjLv3r27JGndunVq0aJFrrXExMQoMjJShw8fznf9AHBekQOpf/3rX5owYYL69Omj+vXre6ImwOuO/XlW/3pgsZJOnZv336p9nPo/2FAB1nOLmJtZxBwAABSj+Ph4ffnll/k6t2/fvvrtt980a9asXKdzXejEiRPKysrSrl27NGPGDI8/LS0xMVHh4eHuETuS5HA4cpxzPgTatWuXGjZsmOPYli1bFBoaqujo6EveZ+vWre77pKSkqE2bNgoPD9eKFSvUpk0b7d27N19r2V54HU/r3bu3hg8frjfeeEMnT55UQkJCrj+f/fv3F2jd3WnTpqlv37459rVq1UoOh0OLFi1SQkJCjmPffPONateunSMUPG/ixInuEVHn/frrrxo6dKgmTJigq6++Os8wSjr3RMjjx4+rUqVK+a4fAM4rciD122+/6ezZs0pISFDz5s0vetqYyWRyD5kFfMHZ9CwNfXaFNv18XJIUWylYL064VvYAq2LLBctmzfuJMwAAACXpyy+/VFZWllatWpWvaXdbt26VJPXv3/+y0/su59ChQ8rIyHCP1tm/f7+mTp2qe++995JrX3Xu3Fl2u12jR4/WvHnz3Ofu2LFD06dP16BBg2S15v1ryqZNmzR16lT169dPZrNZ3377rQ4cOKBPPvnEHcb88+l5+blOYZz/3ef8tLgLORwODRw4UC+//LJcLpdee+21XK/hiTWkQkJCdPPNN2vy5Ml66KGHFBkZKUlavny5vvnmG02YMMF97oEDB1S5cmVJyjWQPB8gNmvWTO3atXPv37x5c44AMTs7W0888YQsFsslR+UBQF6KHEhVr15d1157rXvbMIwcx/+5DZRm2S6Xps/aog+nnPuyZrOZNe7VNoopH6xyTodCAm1erhAAAOCcnTt36quvvtKMGTPyFaicPHlS999/vyQVec0i6dxoqGuuuUa9e/fWkSNH9MEHHygmJkZjx4695PtiY2M1btw4DRkyRG3atFHXrl11/Phxvf/++4qOjs6xzpLZbNbKlSvVp08fNWnSRDt27NC0adNUs2ZNjRs3TpLcaz+98soruvbaa7V48WItWLBAktyLtOfnOoVxfiHzESNGKCEhQWazWc8884z7+EMPPaSJEydKUp6hjSfWkJKkl156SQkJCWrZsqUGDBigEydO6K233tLVV1+tRx55RJI0fvx4DR8+XHPmzClQiHT48GE1b95cTZo0Uffu3XXmzBl98cUX+uGHH/Taa69ddmQeAOSmyIHUiy++6Ik6AK8zDEMbfjqqoU+sdO975OkmatYsVsGBNkWFOS7xbgAAgJJ1xRVX6O23385XGJWdna2ePXsqKSlJknKdvlVQderUUdWqVTVq1ChZLBZ17dpVL7/8cr4WB3/yyScVGxurSZMmacSIEQoNDVWXLl00duzYHLW9//77GjVqlBYtWqQ5c+aoYsWKevjhhzVy5Eg5nU5JUvv27TVo0CB99NFHWrZsmZo2baovv/xSt912mw4dOpTv6xRG27Zt1b9/f82ZM0fr1q3T5MmTcxyPiYlRjRo1VK1atWKZFnihunXrauXKlXr22Wc1evRohYWFqU+fPho/frx71FP58uUVGhpa4J9/bGysPvnkE7388st6/vnnlZ2drSZNmmj+/Pm65ZZbiuPjACgDTEYBhjClpKRo0aJF6tGjR6FutmnTJrlcrhxP40D+JCcnKywsTElJSUX6RxN5O3oyVTdcN09bfj0hSbquUxW9+t/2CnYEqFpMqKyWwg3lBgDAm/gOAUl6/PHH9cEHH+ijjz5Sly5d9OGHH+q+++4r9PXOT+Vavny5Zwr0U1u3blWDBg00e/Zs9erVy9vlAECpUqDfsENDQ3XixAlNmTKlwDdas2aNZs6cSRiFUiktI1vDhq90h1FxVUP1/LhrZLdZVbFcEGEUAADwWTNmzNBbb72l2bNnu6eG5WeNJRTd2LFjFR0d7X5iHQDgbwWesjdo0CA9/fTT6tWrl1566SXVrFnzkucfPHhQr7zyinbv3q158+YVulCguLhchuZ+sl3T3tsi6dy6UWNfaa3y5YIUFeZQkIN1owAAgG/6/vvv9eCDD2rMmDG69dZbZRiGKlasqLlz5yo+Pl5PPfWUQkNDvV2mX3njjTe0d+9enTp1SnPmzNGbb77pXvgdAPC3Qq0hNWnSJE2ePFlNmjRRXFycrrzySlWqVEnBwcGSpDNnzujQoUPavHmzdu3apZdeeinPp0oA3vZb4kk99ehy9/agJxqradMYBQfaVM7JulEAAMA3HT16VLfffrtuueUWDRs2TNK5p8KNGjVKAwcO1N69exUYGFioa4eGhqpRo0aeLNdvxMbGavTo0bLb7Ro5cqQefvhhb5cEAKVSgdaQ+qfjx4/rnXfe0RdffKHNmzcrKytLkmSxWNSgQQPddtttevDBB1WxYkWPFVxWsf5D8Ug6na5bb/1Mq5YflCS1aBWrd6d1VJDDpmoxTtmsTNUDAPg2vkOUXRkZGUpNTVVISIis1px/h/7zzz8VEREhk8nkpeoAAGVdkQKpC2VlZenkyZMyDEPlypWTzcY0J0/iy6TnZWa59MKYtRo3er0kKbKcQ3O/vFWV45yKiw5RSCB9GADg+/gOAQAASqNCTdm70F9//aWIiAhZrVZVqFDBEzUBxc4wDH27Yp8mjd/o3jdy3DWKqxSqyFA7YRQAAAAAAMWoyPORoqOj9dlnn3miFqDEHDxyWo88uESZGS5JUs/76qhDh6oKtFsVHV64tRQAAAAAAED+FHmElMvl0oIFC+RyuXTzzTfL4WARaJRuaRlZevbZldq9K0mSVKtOhJ585mpZrRZVLBfMWgoAAAAAABQzj6zYPG3aNPXo0UNNmjTR0aNHcxx75ZVX1KdPH82ePdsTtwKKxOUy9PEnOzR7xjZJkt1h0dhXWssZaleFiEAF2CxerhAAAAAAAP/nkUCqc+fOWrt2raxWqx577DH3/qVLl+rpp5/W7Nmz1bt37xzHAG/4fe9fevrx5e7th4c0Uf16UQoNtCksOMB7hQEAAAAAUIYUOZCKiIhQu3bt1KJFC02cOFH/+9//dOTIEUnS999/L5PJpPnz52vhwoX673//q02bNhW5aKAwzqRlasgTy3X82FlJUrNrYtW7bz0F2CyqEBnEVD0AAAAAAEpIkQOpBg0aaMuWLZKk6tWryzAMbdt2bjrUn3/+KUlKSEhQx44d1axZM6buwSuyXYamTN2sr7/cLUkKdQZo1PhrZQ+wKjYySFaLRwYLAgAAAACAfCjyouaPPvqo7rnnHt10001KTEyUyWRSaGioJCk9PV2SFBYWJklq0aKFlixZUtRbAgW26bdjen7Yavf2UyOa6YqqTkWE2BUcaPNiZQAAAAAAlD1FDqS6d++uzz//XL169ZIkmc1mjRw5Uq+++qo2b94sScrOzpbValV0dLQOHDhQ1FsCBZKSmqFHH1qq5OQMSdJ1nauoW/dasgdYFR0e6OXqAAAAAAAoezwyT2nmzJlasGCB3n//fe3Zs0dnzpxRgwYNtGzZMknSrFmzJEkpKSlKSUnxxC2BfMnOdunVN37UmpV/SJKiygdqxOiWCrCaFRsZJLOZdaMAAAAAAChpRR4hdd6NN97o/u9ly5Zp8uTJ2rx5s6pWrarHHntMv/32mz766CNVq1bNU7cELuv7TUc1YcwG9/ZzL7VUTIVgRTodCrR7rPsDAAAAAIACKJbfyC0WiwYPHuzeDg4O1vDhw5WamqoxY8YUxy2BiySfSdcTjy7T2dQsSdJtd9TUDR2qyhFgVVSYw8vVAQAAAABQdpkMwzBK4kbp6ek6e/aswsPDS+J2fic5OVlhYWFKSkqS0+n0djmlXna2Sy+/8r1GDF0lSSofE6T/fd1FFaKCVLWCU44Ai5crBACgZPAdAgAAlEYlNmfJbrfLbreX1O1Qxv209bjGv7Tevf3sCy0UHRmoKGcgYRQAAAAAAF7mkUXNgdIkJTVDQx5bpjOnMyVJN3aprg4dqyrQblWkk1AUAAAAAABvI5CCX8l2ufTOe5u0avlBSVK56EA981wz2axmxUYGy2TiqXoAAAAAAHgbgRT8ypbtJzV21Dr39tDnm6lC+SCVczpkZ6oeAAAAAAClAoEU/MaZsxka8sQyJSdnSJI63FRVN95cXY4Aq8o5eaoeAAAAAAClBYEU/ILLMDRj9jZ9981+SVJEpENDRzaXzWJWbLkgpuoBAAAAAFCKEEjBL+zZn6QXnlvj3n5i2NWqGBuiCKdDjoASe5gkAAAAAADIBwIp+Lz0jGyNGrVWx46mSpJatIpVl241ZbdZFMVUPQAAAAAASh0CKfg0wzC08Ls9mj3jN0mSw2HRsBdaKsBmUUxkkMxmpuoBAAAAAFDaEEjBp504dVbPPrlChnFuu99DjVSzZrjCQ+wKcti8WxwAAAAAAMgVgRR8Vla2S5Ne+UE7tv8lSapZO1x9+zdUgNWi6DCm6gEAAAAAUFoRSMFn/bjpqN565UdJkskkDR/dUiFBNpUPD5TFQtcGAAAAAKC04rd2+KTTZzP09JAVSkvLliTdfle8mjWPVbDDptAgpuoBAAAAAFCaEUjB57gMQx/O+k2rlh+UJEWXD9SjTzeV1WJShchAmUwsZA4AAAAAQGlGIAWfc/DwaY15YZ17+4lhCYqODFSUM1ABVosXKwMAAAAAAPlBIAWfkpGVrbHj1uvIoTOSpObXxurmW6vLHmBVpNPu5eoAAAAAAEB++H0gdeTIEfXv31+xsbFyOByKj4/Xiy++qIyMjHxfIzExUePGjVObNm1UsWJFBQQEqHLlyrrvvvu0ffv2Yr03clr/w2FNfW+zJMlmM+vpEc0UYLMoJoKpegAAAAAA+AqTYRiGt4soLkeOHFHz5s114MABde3aVfHx8Vq9erXWrFmjzp07a8GCBTKbL5/J3XXXXfr444/VoEEDtWrVSk6nU5s3b9bChQsVGBioxYsXq3Xr1sVy7/OSk5MVFhampKQkOZ3OAreFP0hJzVDrhg9o3+5jcsmuLv0H69nnmis81K6K5YK9XR4AAKUS3yEAAEBpZPV2AcVp6NCh2r9/v95++20NGjRIkmQYhu6//359+OGH+vDDD3X//fdf9jqdO3fWsGHDdOWVV+bYP3fuXPXq1UsDBw7U1q1bi+XeOMdlGBr1zH91avdchStbhiy6ul43Wa1mlQ8P9HZ5AAAAAACgAPx2hFRKSoqio6NVqVIl7dy5M8d0rsOHDysuLk7NmzfX2rVri3Sf2rVr6/fff9fx48cVFRVVbPcu63/dnD11jp7rd3eOfSaTSZM+mqvuve70UlUAAJR+Zf07BAAAKJ38dg2pdevWKT09XR06dLhobaHY2Fg1bNhQGzZsUFpaWpHuY7PZJElW69+DzTxx7/T0dCUnJ+d4lVWZWS5NHD76ov2GYWjm6694oSIAAAAAAFAUfhtIJSYmSpJq1aqV6/FatWrJ5XJp9+7dhb7Hxo0btXXrViUkJCg8PNyj9x4/frzCwsLcr8qVKxe6Tl/3/c9H9NfRPbkeS/zHVEkAAAAAAFD6+W0glZSUJEkKCwvL9fj5IevnzyvM9fv06SOz2ayJEyd6/N7Dhg1TUlKS+3XgwIFC1enrUtOzNPK51cpUhVyP16pfv4QrAgAAAAAARVXqA6moqCiZTKZ8v5YvX17sNaWlpen222/X9u3b9dJLL6ldu3Yev4fdbpfT6czxKmsMw9Dn8xO19Nv9StJ1MpRz+qPJZNLg4cO9VB0AAAAAACisUv+UvV69eiklJSXf58fExEj6e3RSXqOQzq/JlNcoprykp6erW7duWrp0qYYNG6bhuQQixXXvsubP5DS9OPLcwu+paqB294zVmnmjlJWZKZvNpv/873/q2KWLl6sEAAAAAAAFVeoDqbfeeqtQ7zu/ftP59Zz+KTExUWazWdWrV8/3NdPS0tS1a1ctXrxYzzzzjMaNG1di9y5rsl2G3pm8STu2/yVJql0vUo+PulV1a7gUoAyFhoURRgEAAAAA4KNKfSBVWC1atJDdbte3334rwzByPO3u8OHD2rx5s5o3by6Hw5Gv610YRj311FOaMGFCid27LNp7MFmvT/rBvf3Es1fLYbdq8NCnFRoU4MXKAAAAAABAUZX6NaQKy+l0qmfPntq9e7feffdd937DMDRs2DC5XC4NGDAgx3tSU1O1fft27d+/P8f+tLQ0denSRYsXL9aTTz6pSZMmefze+FtmVrYmTNigkyfSJEntOlTWta0qKchuVUigzcvVAQAAAACAojIZhmF4u4jicvjwYTVv3lwHDx5Ut27dFB8fr1WrVmnNmjXq1KmTvv76a5nNf2dyy5cvV/v27dW2bdsci6P37dtXH374oWJiYvTggw/meq++ffuqWrVqhb735SQnJyssLExJSUl+v8D5+p8Oq23LucrIyJbNZta8r7uoTnykqsWEyhHgt4P6AAAoFmXpOwQAAPAdfv3bfWxsrDZs2KARI0ZowYIF+uqrr1SlShWNHj1aQ4cOzXcgtHfvXknSkSNHNHr06FzPadeuXY5AylP3LmvOpmdp9Ki1ysjIliTd2buO4mtGKCw4gDAKAAAAAAA/4dcjpPxJWfjrpmEY+uTLRPXo+qUkKSLSoS+WdFOFqGBVr+iU1UKIBwBAQZWF7xAAAMD38Bs+So2kMxl6cdRa9/aARxopKjJQ5ZwOwigAAAAAAPwIv+WjVDAMQzNmbdXmTSckSdVrhavn3XVks1oUEWr3cnUAAAAAAMCTCKRQKhz7K1X/fvl79/bDQ5ooyGFTdLhDZrPJi5UBAAAAAABPI5CC12W7XHrnnU06sC9FktQkoYKuv6GKHAEWOYMCvFwdAAAAAADwNAIpeN3+Qyn6z+s/ubcfebqJAmwWRYcHymRidBQAAAAAAP6GQApelZnl0muv/aiTJ9IkSe07VlHC1TEKdtgU7LB5uToAAAAAAFAcCKTgVTt2/6UPJv8qSbJYTHr4ySayWMyKDg/0cmUAAAAAAKC4EEjBa9IzszXx5Q1KPZMlSbq1e03VqR0pZ3CAHAEWL1cHAAAAAACKC4EUvObHTUc1Z9Z2SZLDYdHAR6+SxWJSdJjDy5UBAAAAAIDiRCAFrzibnqXxYzYoK9MlSep5X11VjgtVRIhdNiujowAAAAAA8GcEUvCKFWsO6qsvdkmSwsLt6jewoawWsyKdjI4CAAAAAMDfEUihxKWmZWri+I3u7T7/aqCoyEBFhtpltdAlAQAAAADwd/z2jxJlGIaWLN+vZUv2S5LKVwjS3ffVldViVkQoo6MAAAAAACgLCKRQos6kZenfL3/v3u7zr/pyhgSonNMhi9nkxcoAAAAAAEBJIZBCiTEMQ4uX7NGqFQclSTEVg3XnXXVks1oUHmr3cnUAAAAAAKCkEEihxJw+m5ljdNT9DzZUcLBN5ZwOmU2MjgIAAAAAoKwgkEKJMAxDXy3crfVrD0uSKlUO0e13xivAZlF4SICXqwMAAAAAACWJQAolIjk1Q69M/Ht01AODGik40KpyTodMjI4CAAAAAKBMIZBCsTMMQ1/M36UfNx6VJFWp5lTX7jVlt1kUFszoKAAAAAAAyhoCKRS7f46O6v9QIwU5bCoXFsjoKAAAAAAAyiACKRQrwzD0yWeJ+vXn45Kk6jXDdGuXGgqwWeQMsnm5OgAAAAAA4A0EUihWyakZeuOVH93bAx6+Ug67VVGsHQUAAAAAQJlFIIViYxiGvvxql3795dzoqBrx4ep00xUKsFkUyugoAAAAAADKLAIpFJvTZzP11us/ubf7PthQgXaerAcAAAAAQFlHIIViYRiGFn27V9+vPyLp3JP1brrlCgVYzawdBQAAAABAGUcghWJxJi1Lb7329+io+wbUPzc6KozRUQAAAAAAlHUEUvA4wzC0bOUBrVpxUJIUWzFYXW6v9X9P1gvwcnUAAAAAAMDbCKTgcanpWXrztb+frNe7f30FB7J2FAAAAAAAOIdACh63dsMhLVm8T5IUVT5Q3e+Ml81qkTOY0VEAAAAAAIBACh52Nj1Lb7z69+iou++vp9CQAEU67TIzOgoAAAAAAIhACh72wy9HtPCrPZKk8Ai77rq7tqwWs8KD7V6uDAAAAAAAlBYEUvCY9Ixsvf7qT3K5DEnSXffVVXiYQ5FOh8xmRkcBAAAAAIBzCKTgMVt+P6EvP9spSQoJtalXn7qyWMwKD2HtKAAAAAAA8DcCKXhEZla23vnPL8rKdEmSbr8rXlGRgQoPsctippsBAAAAAIC/kRTAI/b9kaKPZ2+XJAUEmHVP33qymE2KDGXtKAAAAAAAkBOBFIosK9ul997/VadTMiVJnW6trriKoQoLtstqoYsBAAAAAICcSAtQZMf+TNWMD7ZIkkwm6b5+9WU2mxTpZHQUAAAAAAC4GIEUisTlMjTro206eiRVknRtuzjVrRMpZ1CAAqwWL1cHAAAAAABKIwIpFMmp0+n6YPKv7u37+teXxWJWBGtHAQAAAACAPBBIodAMw9AX83fq9+1/SZIaXBmlFi0qKshhVaDd6uXqAAAAAABAaUUghUI7fTZT7729yb197wP1ZLOaFRnq8GJVAAAAAACgtCOQQqGtXHNQ69celiTFVQ1Vx87VZLdZFOxgdBQAAAAAAMgbgRQK5Wx6lt7+zy/u7bv71JXDblVkqF0mk8l7hQEAAAAAgFKPQAqFsvm3E1q8YI8kKTzCrq531JLNalFocICXKwMAAAAAAKUdgRQKLDPLpcnvblJ2tiFJ6t6rtsKddoWHBMjM6CgAAAAAAHAZBFIosINHT+v/zd0hSQoIMOuu3nVkNpsVHmL3cmUAAAAAAMAXEEihQFwuQzNnblVycoYk6fobq6liTIjCggNktdCdAAAAAADA5ZEgoEBOnU7XjKlb3du9eteR2WxSRCijowAAAAAAQP4QSCHfDMPQgoW7tSvxlCSpUeNoNW5SQcEOm+w2i3eLAwAAAAAAPoNACvl2Ji1L06ZscW/37F1HVouZ0VEAAAAAAKBACKSQbz9vPqbl3+2XJJWvEKRON12hAJtFwQ6rlysDAAAAAAC+hEAK+ZKRma0p7/0qwzi3fftd8QpyWBURYpfJZPJucQAAAAAAwKcQSCFfDhxO0afzfpckBdgt6nF3bVksZoUFB3i5MgAAAAAA4GsIpHBZ2S5DM2b8ptMpmZKkjjdXU0z5YIUHB8hsZnQUAAAAAAAoGAIpXNaplHTNmPb3Yua97qsrs9mkcBYzBwAAAAAAhUAghUsyDENfLtilvbuTJUmNE8qrUaNohQTaFGC1eLk6AAAAAADgiwikcEln07M0Y+rfo6N69q4rq8Ws8BBGRwEAAAAAgMIhkMIlbdl+QiuXHZQkla8QpBs6VJXNalaww+rlygAAAAAAgK8ikEKeMrNc+nDaVrlchiTptjtqKijQqogQu0wmFjMHAAAAAACFQyCFPB3/K1X/m7tDkmSxmNS9Z7zMZrPCggO8XBkAAAAAAPBlBFLIlWEY+uzznTp+7KwkqVW7OFWu7JQzyCaLhW4DAAAAAAAKj2QBuTp9NlOzZ/7m3u7eK14Ws4nFzAEAAAAAQJERSCFXv2w+prWrDkmSKsaFqHWbODkCLAq0s5g5AAAAAAAoGgIpXCQjK1vTp211b3e9s6bsARZGRwEAAAAAAI8gkMJFjp48q0/n/S5JslrNur1HbVksZjmDWMwcAAAAAAAUHYEUcjAMQ/+bt12n/kqXJLXrUFmxMcEKCw6Q2WzycnUAAAAAAMAf+H0gdeTIEfXv31+xsbFyOByKj4/Xiy++qIyMjHxfIzExUePGjVObNm1UsWJFBQQEqHLlyrrvvvu0ffv2i84/c+aMZs2apTvvvFPx8fEKDAxUeHi42rZtqzlz5njy43lcSmqm5nz092e6o1dtmVnMHAAAAAAAeJDJMAzD20UUlyNHjqh58+Y6cOCAunbtqvj4eK1evVpr1qxR586dtWDBApnNl8/k7rrrLn388cdq0KCBWrVqJafTqc2bN2vhwoUKDAzU4sWL1bp1a/f5ixYt0o033qhy5crp+uuvV/Xq1XXs2DF9+umnOnXqlB5++GG99dZbBfosycnJCgsLU1JSkpxOZ4HbIr+WrNqvDm3mSZKqVnfqi2+6KTzEoaoVQovtngAAoPiU1HcIAACAgvDrQKpPnz6aMWOG3n77bQ0aNEjSuSlp999/vz788ENNnTpV999//2WvM336dDVu3FhXXnlljv1z585Vr169VK9ePW3d+vci4Js2bdLWrVvVo0cP2Ww29/6jR4+qefPm2rdvnzZu3KiEhIR8f5bi/jI55dVXlXTqlBYsOqxl39eWJD3+bFP9a+CVqhgVrLBgRkgBAOCLCKQAAEBp5LeBVEpKiqKjo1WpUiXt3LlTJtPf6x8dPnxYcXFxat68udauXVuk+9SuXVu///67jh8/rqioqMueP378eA0fPlyTJk3SU089le/7FOeXyW8+/1wP33mnMjMzZcii47pX2Y4rtWhlD1WMDVHNimGsHwUAgI8ikAIAAKWR364htW7dOqWnp6tDhw45wihJio2NVcOGDbVhwwalpaUV6T7nR0BZrdZiOb+4ffP553qwWzdlZmZKkkzKVrRmqGmDwyofHaSwIBYzBwAAAAAAnuW3gVRiYqIkqVatWrker1Wrllwul3bv3l3oe2zcuFFbt25VQkKCwsPDL3t+dna2ZsyYIZPJpBtuuOGS56anpys5OTnHqzj8d9y4i/aZZMj4c6HMZpPCWMwcAAAAAAB4mN8GUklJSZKksLCwXI+fH7J+/rzCXL9Pnz4ym82aOHFivt4zcuRIbd68Wffff78aNGhwyXPHjx+vsLAw96ty5cqFqvNyEi9Y++pCfx3ZLUeARY4AS7HcFwAAAAAAlF2lPpCKioqSyWTK92v58uXFXlNaWppuv/12bd++XS+99JLatWt32fe89957Gj9+vBo3bqw33njjsucPGzZMSUlJ7teBAwc8UPnFatWvn+v+KrXqKJzRUQAAAAAAoBiUjoWMLqFXr15KSUnJ9/kxMTGS/h4ZldcIqPNT4PIaQZWX9PR0devWTUuXLtWwYcM0fPjwy75n2rRpGjhwoBo2bKhvv/1WISEhl32P3W6X3V78gdBDw4dr4O2368K17U0mk3o9MkShQQHFfn8AAAAAAFD2lPpA6q233irU+86vHXV+Lal/SkxMlNlsVvXq1fN9zbS0NHXt2lWLFy/WM888o3G5rL/0T1OnTtWAAQNUr149fffddypXrly+71cSOnTpol5D3tBH/35CJmVLJouee3eaOnXtIguLmQMAAAAAgGJQ6gOpwmrRooXsdru+/fZbGYaR40l7hw8f1ubNm9W8eXM5HI58Xe/CMOqpp57ShAkTLvueqVOnqn///qpbt66WLl2q6OjoQn+e4pKWka3Nu+L0l26UWenqeEtdXdv5FoUFMzoKAAAAAAAUj1K/hlRhOZ1O9ezZU7t379a7777r3m8YhoYNGyaXy6UBAwbkeE9qaqq2b9+u/fv359iflpamLl26aPHixXryySc1adKky97/gw8+UP/+/VWnTh0tXbpU5cuX98wH87D9h5L17cK9SlZbZTtv0ZPjh8lmNSvQ7rdZJQAAAAAA8DK/Th1efvllLVu2TA899JCWLFmi+Ph4rVq1SmvWrFGnTp3Up0+fHOdv3LhR7du3V9u2bXMsjj5w4EB98803iomJUWhoqF544YWL7tW3b19Vq1ZNkrR06VINGDBAhmGoTZs2eueddy46/6qrrlLXrl09+GkLzuUyNO/j35WWli1J6nBTNTlDAhQebM8xogwAAAAAAMCT/DqQio2N1YYNGzRixAgtWLBAX331lapUqaLRo0dr6NChMpvzN0Bs7969kqQjR45o9OjRuZ7Trl07dyC1f/9+9yLhkydPzvX8Pn36eD2QSknN0P/7eId7u1uPWjKZTHIyXQ8AAAAAABQjk3Hh49VQaiUnJyssLExJSUlyOp0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+      "text/plain": [
+       "<Figure size 1200x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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sosT8Ja3RNMgHutwSPU3OW/S83dRwZIkeERERUZExIUVERETPjbSMbNxJyoDBYEJsnA5zpx1F+O+3LP0NG5VD6PK2cHJTQpdlgEohg9peBrVSDh8PNeQs0SMiIiIqFkxIERER0TNPCIF7KZlIStNDbzDh1KmcEr2Y6HTLmMHD6uL9cY2RZTTCYDLDSa2AQi6Fm5M9PJ3tWaJHREREVIyYkCIiIqJnmsFoRmyiDhlZBqRnGvDD95ewfMEpGP4t0XNyUmDOolZo0bYiMv4t0XPUKKCQ2cHbXQMHlbyEr4CIiIjo2cOEFBERET2zdJkGxCbqkG004+49HeZNO4o/d9+09Ndv6IlFn7WFs7s9MrIMUCllUCtlUNvL4eOugVxmV4LRExERET27+JRFREREz5zcEr3oe+nI1Btx4tRdDO73m1UyatBbdbB2UxdoXBWWEj2NvRwezir4lnNgMooAABKJBG3btrV5fEhICCQSCaKiop5YTGVBeHg4JBIJZsyYUaR5KleujMqVK+dpj42NxRtvvIEKFSrAzs7uqZXURkVFQSKRICQkpFTNRURUFnGFFBERET1TjKacEj1dpgG6LAO2bLyM5QtOQa83AQAcnRSYvTAIQe0qIUNvhFwqgcO/JXo+7hpoWKL3XHjzzTfx3XffoXz58rh9+zZksrL/WJyblLG3t8edO3fg4uKSZ0xiYiJ8fHyQnZ0NpVKJrKyspxxl8QgJCcEff/yB119/HdWqVSu1e7zlJtOe9wQlEVF+yv6/vERERET/ytAbEZugQ7bBhLgEHebPPIa9v0RZ+mvXdceSL9rBxVOFDP1/JXoalRzebizRe16kpqbip59+gkQiQVxcHH799Vf06tWrpMMqFjKZDFlZWdi4cSNGjBiRp/+7775DdnZ2mU7AZWdn488//0THjh2xYcOGkg7nsVWoUAEXL16Es7NzSYdCRFQi+NRFREREZZ4QAkmpWYiOS0Om3oDTf8Vh8Ku7rJJRr79ZC99u6QpHNyVMJjOcNDklep4uKlTyZIne82TTpk3IyMjAuHHjIJFIsGbNmpIOqdhUq1YNNWrUwDfffJNv/9q1a1G/fn1UqFDhKUdWfO7evQuz2QwvL6+SDqVI5HI5atasCW9v75IOhYioRPDJi4iIiMo0k9mMmAQd4pIzoNMbsWnjJQx9fTdu3kgFAGgc5Fj8eVuMmxyILKMZUqkELg5KqJVyVCrnAA9nVakt96EnY82aNVAoFJg4cSJatmyJ3377DXfu3HnoMdHR0ejfvz/c3d2h0WjQtm1bHD58uMDxJpMJ8+bNQ/Xq1WFvb48XXngBoaGhMJvN+Y4/cOAAevToAQ8PDyiVSrzwwguYMmUKMjIyCn19ISEhOHXqFM6dO2fVfvLkSZw7dw6DBw8u8Fij0YilS5eiQYMGUKlUcHZ2Rrt27fDrr7/mOz4zMxMff/wxKlWqBHt7e9StWxdfffXVQ+O7ceMGhg4dCl9fXyiVSnh7eyMkJAQ3b9586HEA0LZtW/j5+QEAvv32W0gkEqu9qtq2bVvg/8/57e+1bt06SCQSrFu3Dn/++SeCgoKg0Wjg7u6O4OBgJCYmPjImANDr9ejbty8kEgmmTp1q2R/q5s2buHnzpiXO+2N92B5St27dwpAhQ1ChQgUoFApUrFgRQ4YMQXR0dL73RCKRwGg0YtasWahSpQqUSiVq1KiBFStW2BQ/EVFJKLtrdYmIiOi5l5VtREyCDvpsExKSMjH/k2PY9fN1S3+t2m5Y/Hk7uHmpkaE3Qq2UQaWUwUElh7e7BjIpv5t73pw/fx4nTpxAnz594ObmhjfffBMHDx7Et99+i48//jjfY5KTk9GyZUt4e3vj7bffRkxMDH744Qe0a9cOe/bsyXfT8zFjxuDo0aN49dVXYW9vj23btuGjjz7C1atXsWrVKquxX375JUaMGAFXV1f06NEDnp6eOHHiBObMmYN9+/Zh3759UCgUNl9jcHAwpk6dirVr12Lp0qWW9m+++QYKhQJvvPEGPv300zzHCSHQv39/bNu2DTVq1MB7770HnU6HLVu2oHv37li2bBlGjRplGW82m9GzZ0/88ccfqFevHl5//XUkJibigw8+QLt27fKN7dixY+jUqRN0Oh169OiB6tWrIyoqCt9//z127dqFI0eOoGrVqgVeW0hICBo2bIhly5ahQYMG6N27NwAUauP5/OzcuRO//PILevTogeHDh+PAgQNYv349rl27hoMHDz702NTUVPTq1Qv79+/H8uXLMXLkSKSkpGD69OmW+zxmzBjL+EfFeuXKFQQFBSE+Ph49evRAnTp1EBkZiW+++Qa//PILDh06hOrVq+c57rXXXsOxY8fQpUsXSKVSbNmyBe+99x7kcjmGDRtW2FtCRPTkiVLu+PHjokuXLsLFxUWo1WoRGBgovv/++0LPk5qaKqZNmybq1KkjVCqVcHZ2FgEBAWLGjBmFmker1QoAQqvVFjoGIiIiKh5ms1kkpWaJS7eSxLlrCeL7ny+KKtVXCyDU8uk/cKc4/vcdceh8rDh0Placu3ZPXLyZJO6lZAiz2VzSl1AofP4oPqNHjxYAxLZt24QQQqSkpAh7e3vxwgsv5DsegAAgBg0aZPXfTXh4uJBIJKJ69erCZDJZ2oODgwUAUb58eRETE2NpT0tLE/Xq1RMAxIEDByztkZGRQiaTiYCAAJGYmGh17nnz5gkAYtGiRTZdGwDh7+8vhBCia9euwsPDQ2RnZwshhMjMzBQuLi6ib9++Qggh/Pz8hFKptDp+/fr1AoBo06aN0Ov1lvbo6GhRrlw5IZfLxfXr1y3ta9euFQBE586dhdFotLSfO3dOKBQKAUBMnz7d0p6dnS0qV64sHB0dxZkzZ6zOHRERIaRSqejevbtVu5+fn/Dz87Nqu3HjhgAggoOD89yDNm3aiIJ+xcn9s7lx40aea5DJZOLgwYOWdqPRKNq2bSsAiCNHjhR47rt374qGDRsKhUIhNm3alOec+cX/qOto3769ACBWrVpl1b5q1SoBQHTo0CHfa27atKnV3xGXLl0SMpnM8t8EEVFpU6q/FgwPD0dQUBAiIiLwyiuvYPjw4UhISMDAgQMxd+5cm+e5desWAgICMGvWLPj4+GDkyJEICQmBj48Pfvrppyd4BURERFTczGaBO0kZiEvOQEaWEVt+uIQhA3bhxlUtAECtlmHhsjb4cNqL0BsFpFI7uDgooVLK4csSvedadnY2NmzYAFdXV3Tr1g0A4OzsjF69euHKlSs4cOBAvsdJpVLMmTPH6r+bNm3aoGvXrrh69Wq+pXujRo2Cj4+P5WcHBwdMmzYNQE6pWa5Vq1bBaDRi+fLlcHNzs5rjo48+gqenJzZt2lToa33rrbeQkJCAHTt2AAB++uknpKSk4K233irwmHXr1gEAFi5caLUiq2LFivjggw9gMBjw/fffW9rXr18PAJgzZw6kUqmlvV69ehg0aFCe+X/55RdERUXho48+QoMGDaz6goKC0KtXL/z2229ITU0t9PUW1euvv46WLVtafpZKpQgODgYAnDhxIt9jrl27hhYtWuDq1av45ZdfMGDAgCLHER0djbCwMNSuXTvPqqZhw4ahVq1a+PPPP/Mt3Zs3bx6cnJwsP/v7+6Nly5a4fPky0tLSihwbEVFxK7Ule0ajEUOHDoVEIsGBAwcQEBAAAJg+fTqaN2+O6dOno1+/fnjhhRceOo/JZMIrr7yC2NhY/Pnnn3mWDxuNxid2DURERFS89AbTvyV6RiQkZ2LhrOP4Zds1S3+Nmq5Y/Hl7eHqrkKk3Qm0vh0ohhYNKAW93NUv0HqJJk+9w966upMN4KC8vDU6ezJvosNX27duRmJiId9991yrh8uabb+KHH37AN998g9atW+c5zs/PD5UqVcrT3qpVK/z66684c+YMgoKC8vTlNx4Azpw5Y2k7evQoAGD37t34448/8hwjl8tx6dIl2y7wPj179oSHhwe++eYb9O3bF9988w18fHzQqVOnAo/566+/oFKp8OKLL+bpyy0zuz/2s2fPQq1Wo1GjRnnGt2rVKs9m8bnXeunSJcs+SvfL3az8n3/+QZMmTWy4yuKT3zVUrFgRAJCSkpKn79KlS2jZsiVMJhPCwsIQGBhYLHH89ddfAHISng8mziUSCVq3bo2LFy/i7Nmzef6bfNQ1ODo6FkuMRETFpdQmpMLCwnDt2jUMHjzYkowCAEdHR0ydOhUDBgzA2rVrH7lSauvWrThx4gSmTp2aby17WX7lLRER0fMkVZeNu0kZyDaacCEyAVPGRuDalRRLf9/+NfDhlBdhhIDJLOCsUUIhs4OHiwpujkquinqEu3d1iIlJL+kwnqjcN889uHqnU6dO8PLywo8//ojly5dbrTIBgHLlyuU7X/ny5QEAWq02T19+x5QrVw52dnZW45OSkgDkrDIqTnK5HAMHDsTnn3+Ow4cPY9++fZgwYYLVSqYHpaam5pt4A2B5o939sWu12gLH596b++Ve6/2rrPKj0z39xKizs3OettzfE0wmU56+f/75B8nJyQgKCkKdOnWKLY7c1WH53T8g/z+HXIW9BiKiklZqszHh4eEAgI4dO+bpy23bv3//I+f54YcfAAD9+vVDdHQ0fv31V6SkpKBatWro0qULHBwcii9oIiIiKnZmIRCfnImUdD2yso3Y/tNVhH5yDBkZOaucVSoZps1ujpe6V0Gm3giFTAoHlRxKuRQ+HhqolKX2cadU8fLSlHQIj1SUGKOjo/H7778DgFVp1oM2b96Mt99+26otPj4+37FxcXEA8k8ExMfHw9/fP0+b2Wy2Gp+b/EpNTS32FSxDhgzBsmXL8Oqrr0II8dByvdxYcq/pQbnt9yfrnJ2dH3lvHpwfyNlAvHv37jZdQ2HZ2eWsgjQajXm+eM4vifO4evbsiSpVqmDGjBno3r07fvnlF6jV6iLPm3uPCvPnQERUVpXaJ7QrV64AQL4lea6urvDw8LCMeZiTJ08CAA4ePIgPPvgAer3e0ufp6YktW7Y89E0Xer3e6piSqGknIiJ6XmUbTYhN0CFTb0SSVo/Q2cfw849XLf3VXnDBki/aoVwFDTL1Rmjs5bBXSOGoVsDbTQ0pS/RsVpRSuLJg7dq1MJvNCAoKypMoAnL2l/ruu++wZs2aPAmpmzdvIjo6Os9qoIiICABAw4YN88wXERGRp2wvv/FNmzbF6dOncfToUbz00kuPc2kFqlevHho3boxTp04hKCjokVtdBAQEICwsDMePH89Ttpf7RfD9sTdo0AD79u3D6dOn85SL5V7r/Zo2bQoAOHLkyBNLSLm6ugIAYmJi4OfnZ2k3m804e/ZssZ5r+vTpsLOzw7Rp09CtWzf8+uuveZJSUqkU2dnZNs+Ze38PHDgAIYTVyk4hxEP/myMiKmtK7VNa7jcY+X3jBOR8K2DLtxy539qMHDkSY8aMQXR0NO7du4fly5dDq9Wid+/euHPnToHHz5s3D87OzpZPQcuSiYiIqHilZWQj6m4adJkGXPg7EYP7/2aVjOrVtzo2/NQN7t5qmEVOiZ7aXobyrmpU8NAwGUUWQgisXbsWEokE69evx9dff53ns379egQEBOD48eO4cOGC1fEmkwmTJ0+GEMLStn//fvz222+oXr06WrRokeecy5cvR2xsrOXn9PR0fPLJJwBy9qzKNWLECMhkMowcOTLfjapTUlIs+wo9jm+//Rb/93//h6+++uqRY3M38Z44cSIMBoOlPSYmBkuWLIFMJsPAgQMt7bmlj5MnT7YqCTt//jy+++67PPP36tULvr6+WLJkSb4byBsMBhw8eND2i8tH7t5TuRu051qyZAlu3LhRpLnzM3XqVMyaNQvh4eHo2rVrnnJDNzc3JCQkICsry6b5fH190a5dO0RGRlpKTHN98803iIyMRPv27fk7CRE9E0rtCqniYjabAQDdu3fH/PnzLe0jR45ETEwMFixYgDVr1mDKlCn5Hj9x4kSMHTvW8vPDauuJiIio6IQQuKfNQlJqFvQGE3Zsv4r5048hQ5fzC7JSKcXUWc3RuWdVZGYboZD+W6KnkMLHnSV6lNeff/6JqKgotGvXDlWqVClw3ODBg/HXX39hzZo1WLp0qaW9fv36CA8PR7NmzdC+fXvExsZi8+bNkMvl+OqrryxlYvcLDAxEgwYN0L9/fyiVSmzbtg1RUVEYNmyY1cbpdevWxYoVKzB8+HD4+/uja9euqFatGlJTU3H9+nXs378fISEh+PLLLx/r2uvUqWPzHkeDBg3Ctm3b8PPPP6N+/fro3r07dDodtmzZgsTERCxevBhVq1a1jA8ODsbGjRuxe/duBAQEoEuXLkhKSsKmTZvQsWNH/PLLL1bzK5VKbN26FV26dEGbNm3QoUMH1K1bF0DOW7EjIiLg7u7+WJu45xo8eDAWLlyIGTNm4MyZM6hWrRpOnjyJCxcuoE2bNjZt+VFYU6ZMgZ2dHSZPnoyuXbvit99+g0aTU17avn17nDx5Ej169ECrVq2gUCgQFBSUZxP8+61cuRJBQUEYNmwYdu7cidq1a+Pvv//Gjh074OnpiZUrVxb7NRARlYRS+9Vh7sqoglZBpaamFrh6Kr95evbsmaevR48eAP4r68uPUqmEk5OT1YeIiIieDIPRjFvx6UjUZiJZm4VPph7GtPEHLcmoKtWcsWl7d3ToVhmZ2Tklek4aBZw1ClT2cmQyivKV+7a3R+2h9Prrr0OhUGDDhg1WZVaurq44ePAg/Pz8sGrVKvz4449o1qwZwsLCCtz64dNPP8XYsWOxa9cufP7555BKpViwYEG+yYRhw4bhyJEj6NWrF44cOYKlS5di69atSEhIwAcffIAxY8Y89rUXhkQiwdatW7Fo0SLI5XJ89tln2LBhA+rWrYuff/7Z6ktaIGe/pp9//hkfffQRkpKSsGzZMhw+fBhLlizBuHHj8j1HYGAgzp49i9GjR+PWrVv48ssvsXbtWly6dAm9e/fGihUrinQNXl5eCAsLQ4cOHbB371589dVXcHFxwdGjR1G5cuUizf0wkyZNwty5c3HgwAF06dIF6ek5LwiYOnUqhg0bhsjISMycORMTJ07M922K9/P398fJkycREhKC48ePIzQ0FMePH0dISAhOnDiBGjVqPLHrICJ6miTi/rXHpcikSZMwb948bNq0CQMGDLDqS05OhpubG1q0aIFDhw49dJ6goCAcOnQIP/30E15++WWrvsjISNStWxcdO3bEnj17bIorNxGm1WqZnCIiIipGuiwDYhN0yDaacelyIqaMi8ClyCRLf/de1TDpk2Yw2wESCeCoUkAht0M5FzVcHBTP9Fv0+PxBREREz5pSu0KqTZs2AIC9e/fm6cttyx3zMO3btwcA/P3333n6ctue5LclRERE9HBCCCRoMxEdn45MvRE//3wVIf1+sySjFEopZsxtgWnzW8AkEZDL7ODikLNflG85R7g6Kp/pZBQRERHRs6jUrpAyGo3w9/dHTEwMjh49anmTRFpaGpo3b47Lly8jMjLSsmQ1ISEBCQkJ8PDwgIeHh2WeGzduoFatWnB2dsbp06dRoUIFyzytW7fGmTNn8Mcff6BDhw42xcVvKImIiIqP0WTGncQMpGdmQ5umx5IFJ/HjhsuWfr8qTlj8eTtUqOwIo8kMjb0cKqUMTmoFyrupIbV7PhJRfP4gIiKiZ02pXSElk8nw9ddfw2w2o1WrVnj77bcxfvx4NGjQAJGRkZgxY4ZV/fTnn3+OWrVq4fPPP7eap0qVKggNDUV8fDwaNGiAYcOG4f3330f9+vVx5swZvP322zYno4iIiKj4ZOqNiLqbhrSMbFy6koS3XtttlYzq0qMKvt/WHV6+DhBCWFZFlXdVw9v9+UlGERERET2LSvXOn+3atcPBgwcxffp0bNmyBdnZ2ahTpw5mzZpl9crZRxk5ciQqV66M0NBQbN68GUajEXXq1MGkSZMwbNiwJ3gFRERE9CAhBJLT9biXnIlsoxm//XodcyYfQVpazibScoUdJk5tiu6vVIfeYIJSZgeNSg57uRQ+HhrYK0r14wsRERER2aDUluyVVlwyT0RE9PhMZjPuJmUgLcOA1PRsLF14Epu/vWjpr+TriEWft4VvNWcYTQIOKhnsFc9fid6D+PxBREREzxp+xUhERERPRVa2ETEJOugNJly7loJJYw/gwtkES3/HLpUxZU4L2MklEAJwcVBALpOivKsKzppn+y16RERERM8bJqSIiIjoiRJCQKvLRlxyBgxGM3bvvoHZk45Am6IHAMjldvhw8ovo3f8F6A0mKGR2cFDJoVTIUMFdA6VCWsJXQERERETFjQkpIiIiemLMZoG45AxoddlI02Vj2eJT+H7N35b+ChUdEPpZW1R+wQV6gxkOKjnsFTI4axQo76qG3XNaokdERET0rGNCioiIiJ4IvcGE2AQdsrKNuB6lxeSxB3D29D1Lf4eOvpg2twWkypwVULklel5uKjhrlCUVNhERERE9BUxIERERUbFL1WXjblIGso0m/PH7Tcz8+BBSknNK9GQyCcZ+HIi+r9dAttFsKdGzV8jg46GBUs4SPSIiIqJnHRNSREREVGzMQuBeciaS0/XQZRrw2ZLTWP/VBeS+09e7ggahy9uiqr8rDEYBB5UC9gopS/SIiIiInjNMSBEREVGxMBhNiEnQIVNvxM1bqZg07gD+OhFv6W/boRJmzG8J2b8les4OCihkUni5qeGkUZRU2ERERERUApiQIiIioiJLzzTgTqIO2UYTwsJuYfqHh5CclAUAkEolGPNRE/R7wx8GkxlKhRQaexnsFTJU8NBAwRI9IiIioucOE1JERET02IQQuKfNQlJqFjKyDPhi2V9Yu/K8pUSvvJcaocvbonptNxjNAo4qBZQKKVwclCjnqoKdhCV6RERERM8jJqSIiIjosRiMZtxJ1EGXZUB0TBomjT2AU8fiLP1BbSpg5oIgKNUySCSAi1oBufzfEj01S/RKm6i7qTCaREmH8VAyqQSVvZxKNIbo6GhUqlSpRGMgIiJ6FjAhRURERIWWkWVAbGIG9AYT9offwtQPDyIpIadEz85OglHjGmFASC2rEj2VUgYfd5bolVZGk0Cm3gCD0VzSoeRLLrODSikvsfNHRkZi2rRp+Ouvv3D9+vUSi4OIiOhZwYQUERER2UwIgaRUPe5pM5GVbcSK5Wew5otzMJtzVtZ4llNjwbI2qFnPPadET62AUi6Fq6MSni4s0SvtDEYzMvQm2NmVdCTWzGZADUClLJnzDx8+HKtXr4ZMJoO3t3fJBEFERPSMYUKKiIiIbGI0mXEnMQPpmdmIvZOOSeMicPzwHUt/8yAfzAoNglIjzynR0yggl0nh7aaGI0v0ygw7O8DN0b6kw7CSlJb1xOb+448/0LhxY7i6uhY4JjExEbt27cLGjRsRHh7+xGIhIiJ6npSy77+IiIioNMrUG3HzbhrSMrJxICIGr/XaaUlGSSTAex8EYPGX7aDUyKBSSOGsUUBjL0cVL0cmo6hUe+mll3D27NmHjtmyZQs6duz4lCIiIiJ6PjAhRURERAUSQiApLQu34tOQnmnA58tO472QvbgXnwkA8PBUYfX6Tnh9SG2YBeCoVkCjksPdyR5+5R0hl3G/KHq+xMXFYfz48ahWrRqkUikkEonVRyaTIT09vaTDJCIiKnEs2SMiIqJ8mcwCd5MykJaRjTt30zFpfASORsRa+ps298asRa2gcpTDTiKBo0YBhcwOXizRo+fUkSNH0LNnT1SrVg3vvfcefv31V4SFhaFmzZoYN24cAMDR0REODg4lHCkREVHJY0KKiIiI8sjKNiE2IR1ZBhMOH4rB5LERiI/LAJBTovfuyIYYNKwOTEJApZBCbS+D2l4OH3cN5DIuwKbSRwgBnU6Xb19mZmaeVUv29vaQyWx/VI6Pj0evXr3QrVs3rF27FhKJBKNHj0bfvn3x888/o1q1amjXrl2RroGIiOhZwidGIiIispKSrsfNuFTosgxY+fkZvBu815KMcnO3x5frOuKNt+vADMApt0TPWQXfcg5MRlGpdfPmTTg6Oub5AEDXrl3ztG/YsKFQ8y9YsAAmkwmffvopJP++TVIqlWLBggUAgD179hTvBREREZVxXCFFREREAACzWSAuOQNaXTbi7+kweXwEDobHWPqbvOiF2YtbQeOssCrR83bXwEElL8HIiR7N29sbERERedpbtWqF5cuXIyAgwKq9Ro0ahZp/48aN6Ny5M1xcXPKcFwCUSmXhAiYiInrGMSFFREREyDaYEJOgQ1a2EceO3cHEDw7gbux/5U3DRtRHyLv1YIaASimFWskSPSpblEolgoKC8u2rV69egX22SEhIwN27d1G5cuU8fUeOHAGQ8zY/IiIi+g8TUkRERM+51Ixs3E3KgD7biDWrL+CLxadhNJoBAC6uSsxZ1BoNXywHAcBJpYBCLoW7kz08nO0tpUlEzzONRgM7OztERkZatWdlZWHChAlo06ZNkRJeREREzyImpIiIiJ5TQgjEp2QiOU2PewkZmPrRQez/M9rSH9C4HGYvbg0nNyWkdhI4qHNK9Hw8NNDYs0SPng1SqbTIiVWVSoUOHTpgx44dmD59Ojp37oyYmBgsWLAAiYmJ+Pnnn4spWiIiomcHE1JERETPIYMxp0QvU2/EyZNxmDA6HHdi/ivRG/x2PQx5rz6E5L8SPY1KDm83lug968xmICktq6TDsGI2F8ccZqSmpuZpT0hIAACkpKRYtavVaigUCpvnX7NmDQYNGoRPPvkEn3zyCezt7fHKK69gx44dln2kiIiI6D8SIYQo6SDKktTUVDg7O0Or1cLJyamkwyEiIiq09EwD7iTqoDcYsW5NJJYvPAWDIec3fmdnBWYtaoXGzbwAAA5qORQyKTyc7eHuxBK9kvI0nj+uxmiRqTfAYCyG7M8TIJfZQaWUo3oF58c6PioqClWqVLF5/Nq1axESElLo8yQmJiIxMRGVKlWCSqUq9PFERETPC66QIiIiek4IIZCgzUJiahYSkjIxbcJB7Nt7y9Jfv6En5i5pBWcPFaRSCRz/3S/K213NEr3ngEwqgUoph6oUvwxOJn38hGhBb9krSGHfspfL3d0d7u7uj3UsERHR84QJKSIioueA0WRGbIIOuiwD/joTjwmjwnH7VrqlP3hIHQwd2QCwA9RKKVRKGRxUcni7ayCTskTveVDZ69le+f2wt+wRERHR08eEFBER0TMuI8uA2MQMZGUb8d23kfh03klkZ+eUZTk6KfDJgpZ4Mcgn52e1HHKW6BERERHRE8aEFBER0TNKCIGkVD3uaTORnJKF6R8fxO+7blr669b3wJwlreBWTg2p1A6OKjkUcil83NVQs0SPiIiIiJ4gJqSIiIieQUaTGXcSM5CemY1zZ+/hw1HhiL6ZZul/Pbg23h3TABKpBGp7GVQKKRxUCni7q1miR0RERERPHBNSREREz5hMvRGxCTpkZRux8fuLWDT7BLL1JgCAg6McM+a2RLO2FSAB4KhWQCGzg4eLCm6OSpboEREREdFTwYQUERHRM0IIgZT0bMSnZCBFq8eMSYewe+cNS3+tOu6Y92lruJdXQS61g4NKDqVcCh8PDVRKPhIQERER0dPDp08iIqJngMkscDcpA2kZ2bhw4R7GjwzHzeuplv7+b9TE8LEBkMok0NjLYa+QwlGtgJcbS/SIiIiI6OljQoqIiKiMy8o2ITYhHVkGE37YdAkLZx5DVlZOiZ5aI8f0uS3Qsn1FqxI9TxcVXFmiR0REREQlhAkpIiKiMiwlXY+45AykpmVj5uRD+HX7dUuff01XzP20Dcr5qP8r0VNI4ePOEj0iIiIiKll8GiUiIiqDzGaBuOQMaHXZuHgxEePf34frV7WW/n6v1cCI8Y0gk9tBYy+HSimDg0oObzc1pCzRIyIiIqISxoQUERFRGZNtMCHm37fobd1yGfOmH0NmphEAoFbLMHlWc7Tp6AuJBHBUKaCQ/1ui58ASPSIiIiIqHZiQIiIiKkNSM7JxNykDqWl6zJp2BDu2XrX0veDvirlLW8OrogZy2X1v0WOJHhERERGVMnw6JSIiKgOEEIhPyURymh7/XE7CuJHhuHo52dLfu98LGD2hMWSK/0r0ct6ip4LUjiV6RERERFS6MCFFRERUyhmMZsQm6JChN+D/tl3B7ClHkJmRU6Jnby/FpE+ao30XP0gkgJNaAbnMDuVc1HBxULBEj4iIiIhKJX5lSkREVIqlZxoQdTcVidoMTJlwEJPHRliSUVWru2Ddj93QrrMv5DI7uDgooVbK4FfeEa6O3C+KqKxLTU0t6RCKndlsxuzZs1GxYkW4urpizJgxMBgMJR0WERGVACakiIiISiEhBO6lZOL2vXT8808SXuvzC7b98I+lv0efavhqYydU8HOAxl4OJ7UCLhol/LycYK/gAmiiR+nQoQP8/PxgNput2s1mM9LT05GVlfXQ420d97hWrFiBXbt2FeucTzpmW0ydOhXTpk3DwIEDERAQgJ9++gl6vb7E4iEiopLDhBQREVEpYzSZER2fjgRtJnb8fBX9e+3EPxdz9otSKqWYPrcFPprZFCq1LGdVlL0MXm5qeLurIbXjqiiiR9HpdDhw4AASExNx4cIFq75Ro0bB0dERGo0GcXFxBc5h67jHMX78eMhkMvTv379Y532SMdsiJiYGoaGhWLFiBcaOHQtHR0ccOnQIDg4OTz0WIiIqeUxIERERlSIZWQZE3U1DYkoWpk8+hAmj9kOXnlPOUrmqE9Zu6Yr/da8MpVz6bzJKDr/yTnBxYIkeka2OHz+OSpUqoXXr1jh8+LBV35QpUxAREQGz2YzMzMwC57B1XGGtWrUK0dHRePvtt4ttzlxPKmZbff/99wCAgQMHonz58hg1ahQ++eSTpx4HERGVDlzTT0REVAoIIZCUqsc9bSau30jBuPf24VJkkqW/S4+qGDs1EPb2MjioZLBXyOCkUcDLVQ07rooiKpQjR46gRYsW8Pf3x5EjR/Duu+9a+ry8vODl5fXIOWwdVxj37t3D+PHjcfLkyWKdN9eTiLkw9uzZg0aNGsHR0RFATtnkxIkT8dtvv6Fr164lFhcREZUMrpAiIiIqYUaTGTEJOsSnZODXX66hf48dlmSUQinF5E+aY9KcZtCo5XBxUECllOeU6LkxGUX0OA4fPowWLVqgefPmeVZI3S8iIgIdOnSARqOBp6cnZs6cCSHEY41LTU3F+++/j/Lly8PZ2RktW7bE3r17rcasXLkSFSpUgL+/f4ExNWvWDCqVCgkJCQBy9oXq27cvnJ2dsWzZMjg5OWH9+vWPvAe///47AgMDYW9vj6pVq1pWLwHAhg0bIJFIIJFIIJPJEBkZidOnT0MqlVrat27d+shz5Bo7diwkEgnCwsJw7NgxSCQStGjRAgDQvXt3zJ071+a5iIjo2cGEFBERUQnK1Btx824aEpIz8cn0Ixj/XjjS03JK9HwrO2HNps7o3LvKvyV6Cqjt5ajs5cgSPaIiOHr0KFq0aIFmzZrhxo0buHfvXr7jRowYgXbt2mHLli0YPnw45syZg6VLlxZ6XHZ2Njp27IgDBw5g4cKF2LRpEzp06ICePXsiLCzMMm779u1o0KDBQ2MfPXo0srKysGrVKgA5+039+uuv+Pnnn+Hp6Ym0tDRER0c/8h6MGzcO/fr1w/bt2/Hmm29iyJAhSErKSYT37NkT4eHheOutt9CuXTv4+/ujXr16+N///od33nkH4eHh6NSp0yPPkat169YYMWIEAODdd9/F0qVLLaV6DRs2xKFDh2yKmYiIni0s2SMiIioBQggkp+txLyUTUVGpGPt+GP4+l2jp79i1Mj6c9iLs1XJLiZ6zRoHyLNEjKpLLly8jOzsb9erVg1QqRb169XDkyBH07Nkzz9j169ejT58+AIBu3bqhatWqGD9+PN555x1oNBqbx61YsQI6nQ5Hjx61HNe1a1c4ODhg3rx5aN++PQwGA86fP4+2bds+NP5+/frho48+wooVK6BSqbBs2TJs3rzZclyrVq1QsWLFR96Hzz77DMHBwQCAzp07Y/Xq1bh8+TKaN28OJycntGnTBs2aNUNQUBD++OMPyOVyJCYmYufOnVAoFI+c/369e/fGtWvXAAAzZ85EuXLlLH25sR45cgSVKlUq1LxERFS2cYUUERHRU2YyC8QmZiA+ORO7d91Av+4/W5JRcoUdPp7eFFPnt4DGQZGzKkoph7e7Gt7uGiajiIroyJEjaNKkCQwGA7KystC0aVMcOXIk37EBAQFWPwcHB0MqleLs2bOFGrdt2zZcvHgR7u7usLe3t3ymTJmCK1euAAASExNhNBqtEl35kclkGDFiBGJjYzFu3DgsW7YM/fr1s/RXqlTJptWTQUFBVj8rFAro9XqrNqVSiR9++AFjxozBiBEjsHHjxkIno3IdOHAANWvWtEpGAbC8Ye/mzZuPNS8REZVdXCFFRET0FGVlmxCbkI60DAMWzTuODd/8bemrWMkBc5a2RtUaLlDKpXBQyWGvkMHHQwOlXFqCURM9Ow4fPox9+/ZBpVJZ2lq3bm3TsRKJBH5+frh165ZlDyRbxt29exerVq1Cy5Yt84x1cnICgHz3piqIq6srAKBWrVp4//33bT7uflKpbX+nVK1aFS1atEBKSgpq1KjxWOcSQuDgwYNWibNcMlnOryMGg+Gx5iYiorKLCSkiIqKnJCVdj7jkDERHp2Hse2E4fybB0tehoy8+mtEMGgc5NCo57BVSuDgoUc5FxVVRRMXoyJEjWL58OQIDAwEA8fHxeO2112A0Gi3JkVwPrhgym824fv06PD09CzXOx8cHcXFxqFmzptU4IQRu374NAHB3d4dUKoVOp3to/Lt378bIkSPh7++Pixcv4ujRo2jWrJmNV194+/btQ2JiIlQqFX788cd8k0qPcv78eSQlJeWb+MvMzASQc/1ERPR8YckeERHRE2Y2C9xJ1OFuUgZ+3xuFV7r9bElGyeR2+HByIGaEBsHRSQFnBwXUShl83DXw4lv0iIpVamoq/v77b7z66qto1qwZmjVrhp49e0KpVOYpwwOATZs2Wf38+eefQwiRZ3XUo8a99tprCA0Nxblz56zGbdmyBV26dAGQUzJXt25dxMbGFhj/8ePH8corr2DEiBHYsWMHJBIJFi9ebDXGZDI94i7YLjExEaNGjcLKlSuxcuVKTJ8+3bIXVGHOeeDAAQD5r0SLj48HANStW7cYIiYiorKEK6SIiIieIL3BhNgEHdIzsrFk4UmsW33B0udTwQFzlrRC9VqusFfIoLHP2by8gocGCpboERWr5ORkfPfdd3BycsK9e/dQvnx5AMD169dRsWJFbNq0Cd7e3vDx8bEcExoaiszMTDRr1gxhYWFYsWIFvvrqK6tyP1vGDR06FNu3b0dgYCCGDx+OFi1a4N69e5g6dSq++OILyzw9e/bETz/9lG/8//zzD7p164YOHTpg6dKlsLOzQ7du3fB///d/uHHjBqpUqYLffvsNffr0QevWrbFr1648K75iY2Pxzz//AMh506DZbIazszPOnz+PrKwsnDlzBuXKlYOnpyciIyOxaNEidOjQwXJPBg8ejP79+2PRokWoVq0aKlWqhM6dO+PAgQPYvHlzvhvDA8D+/ftRtWrVfDdbz91bq2nTpg/98yMiomeQoELRarUCgNBqtSUdChERlXJanV5cvpUs/jxySzRs8q0AQi2ftv/bLHYfihIHz8eKM1fuiYs3k8SdRJ0wmc0lHTaVQnz+KLrPPvtMABAAhL+/v6W9T58+lvbRo0db2suXLy/27t0rgoKChFKpFFWrVhVff/11nnltHafX68WMGTNE5cqVhb29vQgICBA//fST1Zjbt28LpVIpbt68adUeGxsrKleuLBo3bix0Op2lPSwsTAAQI0eOFEII8dNPPwmFQiEAiJMnT+aJYfTo0ZZrBSB69eolQkNDrdoaNGgg5s6da/lZoVCIxMREIYQQnp6elvYhQ4YIIYRo3769ACC6detW4L0vX768CAkJybevT58+YsqUKQUeS0REzy6JEIXYQZGQmpoKZ2dnaLVayyaURERE9zMLgXvJmUhO1yM8LBoTx+5HSnLOHjMymQQjxzfGy6/VgExmB0eVHHK5FF5uajipH+/tVfTs4/PH8yM0NBQxMTH49NNPH3uO119/HYsXL4a3t3fxBfYQ9+7dw6xZs7B8+fJCHXft2jV06dIFp0+ftrxtj4iInh/cQ4qIiKgYGYwm3IpLw72UDCxacAIj3tprSUZ5+Wjw5fpOePn1GrBXyuCsUUCjkqNyeUcmo4gIADB+/Hhcu3YNERERj3X84cOHUb169aeWjDKbzVi4cCHGjx9fqOOys7MxcuRI/Pjjj0xGERE9p7iHFBERUTFJzzTgTqIOsXfSMO79cJw6Hmfpa9W2IibNbg5HZwUcVHIo5VK4Oirh6aKCnYQblxNRDolEgi1btmDy5MlwcHBAQECAzcdmZmYiMjISM2fOfIIRWtu3bx+GDBkCX19fm4/R6/WYMGEC5s2bhwYNGjzB6IiIqDRjyV4hcck8ERE9SAiBe9osJKVmIeLAbXw8Zj+SErMAAFKpBO99EIC+b9SEQm4HR7UccpkU3m5qOHJVFNmIzx/Pp1OnTqFx48YlHUaxu379Otzc3ODi4lLSoRARUQniCikiIqIiMBjNuJOoQ6pOj88//QtffXEOZnPOdz3lyqsxa3Er1K7vbnmLnkopg4+HBgoZ36JHRA/3LCajAKBq1aolHQIREZUCTEgRERE9Jl2WAXcSMxB7Jx3jR+3DiSN3LX0tWlXA5DnN4eyqtCrRK+eigoQlekRERET0nGNCioiIqJCEEEhMzUKCNguHD8Xgo9H7kXgvEwBgZyfBu6Mbon9wLUuJnkKW8xY9lugREREREeVgQoqIiKgQjCYz7iRmIFWnx8rPzmDlsjOWEj0PTxU+WRSEegGeUClkUNvLoFbK4eOhhpwlekREREREFkxIERER2ShTb0Rsgg5343QYPzocRw/GWvqatvDGlLnN4equspTouTnZw9PZniV6REREREQPYEKKiIjoEYQQSE7X415yJo4dvYPxI/fhXnxOiZ5EArz9fgO89lZtKBVSOKoVUMjs4O2ugYNKXsKRExGVLdHR0ahUqVJJh/FcuX37Ns6fPw87Ozt06tSpyOOIiGxlV9IBEBERlWYmsxmxiTrcTczAis/P4K3Xd1mSUe7u9vjs6//hjWF14KCWw1mjgINKjspeTkxGET1nzGYz0tPTkZWVVdKhlJgrV66gT58+8PDwgIeHB4YPH4709HSbjo2MjETfvn3Rpk2bAsecOnUK//vf/6BSqeDm5obXX38dMTExln6TyYTKlStDIpHk++nTp49NY56UotwfW4+1dZwQAuvWrUPNmjVRqVIldO3aFeHh4Y89jojocXCFFBERUQGyso2ISdAhLl6Hj8bsx6H9//3iE9jUC1Pmt4C7hwqOKjkULNEjeq6NGjUKX3zxBezs7BAbG4vy5cuXdEhP1dWrV9GsWTO4u7tjwoQJSElJwfLlyxEZGYmwsDDIZAX/2jF8+HCsXr0aMpkM3t7e+Y45d+4cWrVqhVq1amH27NmIi4vDypUrceTIEZw5cwbOzs5ISUnBlClT8hz7zz//IDQ0FH369LFpzJNQlPtj67G2jtPpdBg0aBD27NmDd999F2vXrkXt2rXh5ORkdV5bxxERPTZRyh0/flx06dJFuLi4CLVaLQIDA8X3339v8/H79u0TAAr8HDlypFDxaLVaAUBotdrCXgoREZURZrNZJKdliUu3ksSGn/4W5b2+EECoAEKFRBIqhozYI/advi2ORN4RF24kin+ik0VaRnZJh03PMD5/lH537twRERERAoC4ceNGSYfz1HXu3Fl4e3uLxMRES9vu3bsFAPHll18+9Nh+/fqJPXv2iODgYOHn55fvmEaNGokXX3xRZGf/93dtWFiYACAWLVr00PknTpwolEqlSElJKdKYB/3+++8iKSnJprFFuT+2HmvLOLPZLHr37i18fX3FxYsXCzynreOIiIpCIoQQJZAHs0l4eDg6deoEhUKBAQMGwNnZGdu2bcONGzcwZ84cTJo0yaY52rVrhzZt2qBt27Z5+ocOHYqKFSvaHFNqaiqcnZ2h1Wr57QAR0TPIbBa4m5wBbboeX395DssWnYLJmPNPpaubPWYsaIlGTctDpZRBrZRBbS+Hj7sGchmr4OnJ4fNH2SGRSHDjxg1Urly5pEN5aqKjo+Hr64upU6fik08+sepr3LgxhBA4ffr0I+cJCQlBeHg4oqKi8sxfpUoVbN26Fb1797bqc3V1xauvvopVq1YVOG+1atVQr149bN++vUhjHiSRSLBv3758f8d4MP7HvT+2HmvruB9//BHBwcGIjIxElSpVCozZ1nFEREVRakv2jEYjhg4dColEggMHDiAgIAAAMH36dDRv3hzTp09Hv3798MILL9g0X9u2bTFjxownGDEREZV1eoMJsQk6xN3TYcLY/Tjw521LX6PA8pg2rwU8yqstJXruTvbwYIkeET3g999/x+rVq3H+/Hn4+Phg1qxZGDhwIABgw4YNGDRoEABAKpXi7Nmz0Ov1CAwMhNlsBpCTDHjllVceeZ7CPtuOGTMGLi4uhTrGFkePHgUA9OzZM0/fK6+8gkmTJiE1NfWxk6mVKlVCcnIylEqlVbtOp0NWVlaBZX4AcOzYMVy/fh2zZ88u0piiKMr9sfVYW8ctWrQIzZo1w/Dhw3Hy5Eno9Xq0adMGc+fORf369S3H2DqOiKgoSm1CKiwsDNeuXcPgwYMtySgAcHR0xNSpUzFgwACsXbsWc+fOLcEoiYjoWZGqy8bdpAycPnUXY9/fhzsxOktfyNt1EfxuPaiUUjj8+xY9H3cNNNy4nIjyMW7cOEyZMgWzZs3C0aNHMWTIEHTp0gVubm7o2bMnwsPDsX79ety6dQv+/v4QQuB///sfqlSpgtdeew2NGjWy6TwzZ84sVFwhISFPJCF1+3ZO8t7X1zdPX+5KsevXr6Nhw4aPfQ5HR8c8bfPnz4fJZMKAAQMKPG7z5s1QqVT5JmoKM6YoinJ/bD3WlnGXLl3CiRMnIIRA8+bN8fHHHyMlJQVfffUVmjdvjvDwcAQGBiI+Pt6mcURERVVqE1K5b2/o2LFjnr7ctv3799s835UrV7B8+XJkZGTAz88PL730Ejw8PIolViIiKrvMQiA+ORPJaVlY+/UFLJ1/EkZjzioFZxclps9ricCWXpYSPY1KDm83lugRUcE+++wzBAcHAwA6d+6M1atX4/Lly2jevDmcnJzQpk0bNGvWDEFBQfjjjz8gl8uRmJiInTt3QqFQ2Hye0rLzRmZmzptHXV1d8/TlPm/b+jY5W/3xxx+YN28epkyZgpo1a+Y7xmw248cff0T37t2h0Wgee4wQAjqdLt++zMzMPNdmb29vtUl5Ue6PrcfaMm737t0QQqBnz57Yvn27ZXXviBEjULduXYwePRqHDx/GmTNnbBpHRFRUpTYhdeXKFQDItyTP1dUVHh4eljG22LhxIzZu3Gj5WaVSYebMmfjwww+LHiwREZVJ2cacEr34exmYOP4AwvbesvQ1CPDE9IUtUd5LAwe1HAqZFB7O9nB3YokeET1cUFCQ1c8KhQJ6vd6qTalU4ocffkDXrl0hhCh0MupJuXXrFjIyMmwa+8ILL0AqlaJcuXIAAK1Wm+cL39xESX4rnB7XP//8g1dffRWtW7fG1KlTCxwXERGBmJgY9O/fv0hjbt68WeA+Sl27ds3TtnbtWoSEhFh+Lsr9sfVYW8blJjDHjx9v9e+Yj48PhgwZgsWLFyMtLQ0JCQk2jSvOP1Miej6V2oSUVqsFADg7O+fb7+TkZFma+jCenp4IDQ1F9+7d4evri5SUFOzbtw8TJkzARx99BCcnJ7zzzjsFHq/X660eIFJTUwt5JUREVBqlZWTjTlIGzv4Vhw/e24eY6P++nR70Vh289V59qFRSOKoUUMil8HZXQ2PPEj0iejSpVGrTuKpVq6JFixZISUlBjRo1Cn2eJ7GH1JtvvmlzFcK9e/fg4eFheUHQjRs38iRDrl69CgCFeonQwyQlJaF79+5wcnLCDz/88NB7vXnzZjg4OOSbNCrMGG9vb0RERORpb9WqFZYvX261vQiAPH+WRbk/th57586dR46rW7cugJwv5h9UpUoVCCGQnp4OtVpt0zgmpIioqEptQqq41KlTB3Xq1LH8rFarMXDgQDRo0ACNGzfG9OnTMWzYMNjZ5V96MW/evELX5xMRUeklhMC9lEwkpmbhu3V/Y9Gc4zAYckr0nJwVmDq3BZq18oFaKYPq3xI9H3cNZFKW6BFR8dq3bx8SExOhUqnw448/ol+/foU6/knsIZW7bUZhBAUFwd7eHrt3786zt9DevXvh7+8Pd3f3Qs/7IKPRiH79+iEmJgaHDh2Cp6fnQ8du3boVvXr1yjexYusYIGc124Or3nLVq1evwL5cRbk/th5ry7jc34lOnjyJJk2aWI25efMmNBoNPD09LSWQjxpHRFRUpfbpOndlVO5KqQflvv74cdWtWxdNmzZFXFyc5VuD/EycOBFardbyiY6OfuxzEhFRyTIYzbgVn46bMakYPSIM82YctSSj6jbwwNotXdCidQU4aRRQ28vh6aJCJU8HJqOIqNglJiZi1KhRWLlyJVauXInp06fj2rVrhZpDCFGoT+7m1sXNwcEB3bp1w6pVq5CUlGRpDw8Px969ezFkyBBLW1GepUeNGoWwsDB88803j9wg/Y8//kBCQsJDS/FsGVMcCnN/AOt7ZOuxtoyrWbMmateujdDQUKSlpVnGxMXFYc2aNXj55Zchk8lsHkdEVFSl9m+S3L2jrly5gsaNG1v1JScnIyEhAS1atCjSOXKXsz6sTl6pVOZ5xSwREZU9ukwDYhN1OHfuHj4YEYbom/89ZL8eXAtDRzWAWiWzlOj5uKuhZokeEdkoNjYW//zzDwDg6NGjMJvNcHZ2xvnz55GVlYUzZ86gXLly8PT0RGRkJBYtWoQOHTrAx8cHADB48GD0798fixYtQrVq1VCpUqWSvJxCmzVrFgIDA9G8eXMMGzYMCQkJ+Oyzz9CkSROMHDkSQE7lwaRJk7Bp06aHvhkvP7mJu4CAAKSlpeHrr7+29EmlUoSEhFjtd7R582Y4OzujU6dOBc5py5iHkUqlNu8paMv9AfK/R7Yea8u4FStWoHPnzggMDMTgwYNhMBiwevVqKBQKzJ8/3zKXreOIiIpElFK7d+8WAMTgwYPz9G3evFkAEBMnTnzs+Q0Gg/Dz8xMSiUQkJibafJxWqxUAhFarfexzExHR02M2m8W9lAzxd1SimDr7oFAoFgsgVAChwtFxmZi//JiIOBcjTl2OE39HJYpbcWnCYDSVdNhEVvj8UfqNHj1aALB8evXqJUJDQ63aGjRoIObOnWv5WaFQWJ5DPT09Le1Dhgwp4at5PKdOnRIvvfSScHBwEBUqVBDDhw8XKSkplv6vv/5aODo6ir179+Z7fHBwsPDz88vTfubMGSGTyazu5f2fzp07W43PysoSzs7OIiQkpMBYbRmTy2QyieTkZJs/er3+se6PEAXfI1uOtXXcsWPHROfOnYWrq6twdHQUL7/8srh+/XqeuWwdR0T0uCRClJL3xT7AaDTC398fMTExOHr0qGVZblpaGpo3b47Lly8jMjLSsmlgQkICEhIS4OHhYbWR35EjR9CsWTOrby+MRiM+/PBDfPrpp+jcuTN27dplc1y5pYJarRZOTk7Fc7FERPREGE1mxCbqEJ+QgakTDmL3LzcsfbXrumPGwpaoUMkRjrlv0XNRwc1RybfoUanD5w+ikhMVFVXgW/by8+Bb9oiIKH+ltmRPJpPh66+/RqdOndCqVSu89tprcHJywrZt23Djxg3Mnj3b6g0Wn3/+OWbOnInp06dbvXHktddeg0QiQYsWLVChQgWkpKTgwIEDuHz5Mnx9ffHll1+WwNUREdGTlqE3IjZBhwvn72HMiDDcvPHfW1JffcMf74wJgEYth6NKnlOi56GBWllq/1kkIqISUtBb9gryOG9MJCJ6HpXqJ+927drh4MGDmD59OrZs2YLs7GzUqVMHs2bNwsCBA22aY/jw4di9ezfCw8ORkJAAmUyG6tWrY/LkyRg3bhxcXV2f8FUQEdHTJIRAUpoe95IzsGXzZcydcRT6LBMAQOMgx6RPmqH1/ypBbS+HSiGFg0oBb3c1Ny4nIqJ8Pewte0RE9PhKbcleacUl80REpZfJbMadxAzEJegwfdJh/Lr9vzdW+ddyw8xFQajk6whHtQIKmR1L9KjM4PMHERERPWtK9QopIiIiW2XqjYhN1CEyMgFjhofhxjWtpa/vgBoYPi4AjhoFHFRyKP8t0VOxRI+IiIiIqETwSZyIiMo0IQRS0rMRn5KBrT/8g9nTDiMrM6dET62RYcL0pmjf2c9SoueoVsDLjSV6REREREQliQkpIiIqs0xmgbikDMQlZmDmlEP4eetVS98L/q6YGRoEvypOlhI9TxcVXFmiR0RERERU4piQIiKiMkmfbUJMog4XLyZi9Lt/4tqVFEtf737V8f6HjeDooMwp0VNI4ePOEj0iIiIiotKC9QpERFTmaHV6RMWl4ccfLqFf958tySiVSobp81tg3NQX4eaigpNGASeNApXLOzIZRURPndlsxvz581GxYkW4urpizJgxMBgMJR1WoUVHRxfrfLdv38auXbuwZ8+eYp33WVHc95uIqLRiQoqIiMoMs1ngTqIOUTGpmPzhAXz8wQFkZhoBANVecMFXmzujY/cqcNYoobaXoZyrChU8NJByvygiKgFTp07FJ598goEDB6J58+b46aefoNfrn9r5r1y5gj59+sDDwwMeHh4YPnw40tPTbT4+MjISffv2RZs2bQocs379ejRs2BAajQbVq1fHokWLkN9LvIUQWLduHWrWrIlKlSqha9euCA8PL9Z4H0dRzmnLsYWZ35b7feTIEXTp0gWenp7w9PTE66+/jjt37th+wUREpQi/LiYiojIh22BCTIIOly4nYvTwMFy5lGzp69GnGkZOaAxnJyUc1P++RY8lekRUgmJiYhAaGorly5fj3XffhRAC0dHRcHBweCrnv3r1Kpo1awZ3d3dMmDABKSkpWL58OSIjIxEWFgaZ7OF/Pw4fPhyrV6+GTCaDt7d3vmOWLl2KsWPHolu3bhg8eDBOnjyJDz/8ECaTCRMmTLCM0+l0GDRoEPbs2YN3330Xa9euRe3ateHk5FRs8T6OopzTlmMLM78t9zssLAydOnVCw4YNMWnSJGi1WqxevRodO3bEiRMnYG9vX+z3iIjoiRJUKFqtVgAQWq22pEMhInpuaHV6cTk6WSz67IRQaz4VQKgAQoW9/RIxZfZBEXEuRpz+J15cvJkkbsenCaPJVNIhExUrPn+UPQsWLBByuVykpqaWyPk7d+4svL29RWJioqVt9+7dAoD48ssvH3l8v379xJ49e0RwcLDw8/PL05+YmCg0Go0YOnSoVXu7du1Ew4YNLT+bzWbRu3dv4evrKy5evPjE4s31+++/i6SkJJvGFuWcthxbmPkfdb+FEKJv376iYsWKIjMz09J29uxZAUDs2bPHpmsmIipNWMNARESllhACcckZiIpJxdSPD2L8yHBk6HL2X6lSzRmrN3ZGl95VLSV65V3V8PHQQGrHf96IqGTt2bMHjRo1gqOj41M/d3R0NHbv3o2hQ4fCzc3N0t6pUyc0atQIq1ateuQcW7ZsQceOHQvsd3V1xdGjR7Fw4UJLmxACqamp8PT0tLRt3boVe/bsQXh4OGrWrPnE4s310ksv4ezZs48cV5Rz2nJsYed/1P0Gcu6vg4OD1UooZ2dnAHiqpaBERMWFtQxERFQqGYxmxCbocOmfRIwZHoZLfydZ+rr0rIoxkxrDxdk+5y16LNEjolJi7NixWLp0qeVniUSC5s2b4/DhwwUeM2PGjEKdY8yYMXBxcSmw/+jRowCAnj175ul75ZVXMGnSJKSmplqVzBWWRCJB3bp1AeRs3n769GmEhobi77//RlhYmGXcokWL0KxZMwwfPhwnT56EXq9HmzZtMHfuXNSvX/+pxfugopzTlmNz70FxXtPAgQPRt29fzJw5E5MnT0ZSUhJee+01eHl5oX379jbPQ0RUWvDJnYiISp30TAPuJOrw6y/XMOXDg9Cl56yKUiqlGDupCbr0rgoHlQIqpQyOagW83FRcFUVEpULr1q2h1+uxYsUKvPvuu/D397ckbgoyc+bMQp0jJCTkoQmp27dvAwB8fX3z9FWuXBkAcP36dTRs2LBQ5y3IsGHD8M033wAAXn/9dUuiKT4+HidOnIAQAs2bN8fHH3+MlJQUfPXVV2jevDnCw8MRGBj41OMFinaPbDk2KSnpsecvyMsvv4zZs2dj2rRpWL9+PZKTk+Hj44M///wTGo3G5nmIiEoLJqSIiKjUEEIgQZuFOwk6LJh9DBu/vWjp863shE8WBeGFmq5wUisgl9mhnIsaLg4KSCSSEoyaiOg/vXv3xrVr1wDkJJrKlSv3yGNEPm+lK4rMzEwAOWV1D/Lw8ACAYn17Xd++fdG6dWts3boVGzduREJCAnbv3o0zZ85ACIGePXti+/btlr+rR4wYgbp162L06NE4fPjwY8UrhIBOp8s3nszMzDzj7e3trTYRL8o9suXYtLS0x57/Yd566y1s3rwZFy5cAJBTolixYsVCz0NEVBrw62QiIioVDEYzouPTcfZCPF57eadVMqpj18r4alMn1KrjDhcHJVRKGfzKO8LVUclkFBGVOgcOHEDNmjVtSkY9Cbnn1Wq1efpykynFubdV165dERwcjJ07d2Ly5MnYu3cv9u7di4SEBADA+PHjrf6u9vHxwZAhQ3D06FGkpaU9Vrw3b96Eo6Njnk9uPA+2b9iwwer4otwjW47N3dupOP8Mbt68icDAQPj6+uLq1atYs2YN/vzzT7z00kvIyMgo1FxERKUBV0gREVGJ02UZcCcxA7t+vY7JH0YgLTUbACBX2GHMx03Qo281S4mek1qB8m5qSO2YiCKi0kcIgYMHD6Jfv342H1Pce0jlrpi5ceOGZTVOrqtXr1qNKW6jR4/GnDlzcObMGfj7+wMAVCpVnnFVqlSBEALp6emPFa+3tzciIiLyzNuqVSssX74cAQEBVu01atSw+rko98iWY3Pbi/PPYNSoUXB0dMT27dshl8tRrVo1vPjii2jUqBG++OILfPjhh4Waj4iopDEhRUREJUYIgcTULNxJyEDovOP4bk2kpa+SryNmLgqCf203S4leeVc1nDUs0SOi0uv8+fNISkpC69atbT6muPeQCgoKgr29PXbv3o3AwECrvr1798Lf3x/u7u6FOqetclfqeHh4WN6qd/LkSTRp0sRq3M2bN6HRaODp6flY8SqVSgQFBeUbQ7169Qrsy1WUe2TLsb169Sr2P4OwsDC8/fbbkMvllra6deuifv362L9/PxNSRFTmsGSPiIhKhNFkxu17OpyNvIeBr+y0SkZ16OSH1Zs6oW49D7g4KKH+t0TPxYElekRUuh04cAAACpWQEkIU6pO7KXZBHBwc0K1bN6xatcqyuTYAhIeHY+/evRgyZIjV+OjoaNsv8D4HDx7M0zZ79mwoFAp07twZNWvWRO3atREaGmrZUwkA4uLisGbNGrz88suQyWSFjrc4FOUe2XLsk7gmJycnHD9+3GrPsYSEBFy/fj3PKiwiorJAIop7F8VnXGpqKpydnaHVaov11bNERM+TTL0RMQk6/L4nCh+P3Y9UbU6Jnkxuh1EfNkbv/tX/K9HTKFDelSV69Hzj80fZ0a9fP5w+fdqysXlJuXjxIgIDA1GhQgUMGzYMCQkJ+Oyzz1CnTh0cOHAA9vb2AIB58+Zh0qRJ2LRpEwYMGJBnnpCQEISHhyMqKsqq/dixY2jWrBk6duyIbt26IS0tDTt37sSxY8ewdOlSjBkzBgCwf/9+dO7cGX5+fhg8eDAMBgNWr14No9GIkydPwsfHp1DxPopMJsOff/6JNm3aPNF7ZMuxj3NNBd1vAPjiiy/w/vvvo02bNujRowf0ej3WrFmD2NhYHDlypFjfQkhE9FQIKhStVisACK1WW9KhEBGVOWazWSSmZorzVxPE4Ld3CSDU8qlQcaX4evN5cfhCrDh/PUFcupUkktOyhNlsLumwiUocnz/KjvLly4uQkJCSDkMIIcSpU6fESy+9JBwcHESFChXE8OHDRUpKitWYr7/+Wjg6Ooq9e/fmO0dwcLDw8/PLt2/dunWiSZMmwt7eXmg0GhEUFCS2b9+eZ9yxY8dE586dhaurq3B0dBQvv/yyuH79+mPFm8tkMonk5GSbP3q9vtjvkS3HFuaahHj4/RZCiJ9//lm0aNFCODk5iXLlyolu3bqJM2fOFDieiKg04wqpQuI3lEREj8dkNuNuYgauXE/BByPCcOZ0vKWv7f8q4aMZTeHhroKDSg6lQgYfdw3sFdISjJio9ODzB5G1qKgoVKlSxebxa9euRUhIyJMLiIiICo2bmhMR0ROXlZ1TovfH7zfx8Qf7kZKsBwDIZBK8N64R+r7uD0e1HPaKnBI9L1c17FiiR0REBSjoLXsFefAte0REVPKYkCIioidGCAGtLhsx99LxaegpfL3ynKXPy0eDmaFBqNfAE45qOeQyKbxcVXB2UJZgxEREVBY87C17RERUNjAhRURET4TZLHA3OQNXrydj7Pv7cOp4nKWvVbuK+PiTpvD0UFtK9Cq4a6BkiR4RERER0XOBCSkiIip2eoMJMQk67Au7iY9G70dSYhYAQCqVYPiYALz6Zk1LiZ7zv2/RY4keEREREdHzgwkpIiIqVrklep8vPY0vPzuD3FdnlPdSY0ZoEBoElPuvRM9NBWcNS/SIiIiIiJ43TEgREVGxMAuB+ORMXLmejPGj9uH4kbuWvhatK2DirKYoX04DB1XOyigfDw2UcpboERERERE9j5iQIiKiIsv+t0Rvf3g0xo8KR2JCJoCcEr1hIxvg9ZDacNSwRI+IiIiIiHIwIUVEREWSlpGNmAQdViw7jS8+PQOzOadGz7O8CjMWBCGgSXk4quVQyKQozxI9IiIiIiICYFfSARARUdkkhEBccgbOXUrA4Nd34bMlf1mSUU1bemPN5i4IbOoFFwcFNPZy+Hk5MhlFRPQUnDx5Es2aNYOHhweCgoJw/vz5kg6JiIgoDyakiIio0AxGM27FpWPv71Ho0+X/cPRQLADAzi6nRC/0i3aoVNEJjmoFXB3t4VfekftFERE9BQkJCejbty+WLFmCe/fuoXfv3ujTp09Jh0VERJQHE1JERFQo6ZkGXI/VYumSkxj8+i7ci8/ZL8rDU4VPv2qPwe/Ug6uTEmqlDD7uGni5cb8oIqKn5dy5c3jjjTfQokULSCQSvPPOO7h27Rri4+Of2Dnj4uIQExPzxOa3VXR09FM9jmx3+/Zt7Nq1C3v27CmWcUT0bGBCioiIbCKEwL2UTJy/nIChb+7GstBTMJlySvSaNPPC1z90RrMWPpYSvcpejnDSKEo4aiKi50v79u0xZ84cy88RERHw9vaGu7t7nrFCCPj6+mLVqlWPfb7bt2+jQoUK+P33363atVotXn/9dTg7O+OFF17A3LlzkZ2d/djneZjIyEj07dsXbdq0Kfbj1q1bh3r16kGpVMLHxwcjR45ESkpKvmMfvJ/r169Hw4YNodFoUL16dSxatAhCiELFWFhXrlxBnz594OHhAQ8PDwwfPhzp6ek2HWtLvIW9H+vWrUPNmjVRqVIldO3aFeHh4Y89joiePUxIERHRIxmMZkTHp2Pvnzklegf353wTLpEAbw2vh8Ur28GvkrNViZ6CJXpERCUqPj4eI0aMwLJlyyCV5v07+dChQ7hz5w769u372OcwGo0wmUx52idOnIjt27dj/Pjx6Nq1K1asWJHvuKIaPnw46tevj19++QVms7lYj5szZw4GDx4Mf39/zJ8/H926dcPKlSvRoUOHfJNr99/PpUuXIjg4GBUrVsTcuXPRvHlzfPjhh1i4cOFjX+ujXL16Fc2aNUNkZCQmTJiAd955Bxs2bEDXrl1hNBofeqwt8Rbmfuh0OvTt2xfvvfceunXrhsOHDyMlJQVz5859rHFE9IwSVCharVYAEFqttqRDISJ6KtIzs8U/0cli3MRwIZUuEkCoAEKFm/tnYunqU+LwhTvi/PUEcflWstCm60s6XKJnEp8/yqZTp06JFi1aCLlcLgCI77777qmdOysrSzRv3lx88MEHBY557733RMeOHYt0nhs3bggAYu3atVbtlSpVEu+8847lZ5PJVKTzFKRfv35iz549Ijg4WPj5+RXbcTdv3hQymUxMnDjRqv2HH34QAMSKFSvyHJN7PxMTE4VGoxFDhw616m/Xrp1o2LChzTEWVufOnYW3t7dITEy0tO3evVsAEF9++WWBx9kSb2Huh9lsFr179xa+vr7i4sWLBZ7X1nFE9OziCikiIsqXEAIJ2kyc/ycRw0L2YPG8E5YSvUaB5bHmh84Ial2RJXpERPm4e/cu2rdvj+bNm+PEiRO4ePEievbs+dTOP2TIEDg7OyM0NDTffrPZjK1bt2LAgAFP5Py3b9+Gl5eX5Wc7uyfza8eWLVvQsWPHYj/ut99+g9FoxPvvv2/V/uqrr6JOnTrYunWrVfv999PV1RVHjx61Wl0khEBqaio8PT0LHastoqOjsXv3bgwdOhRubm6W9k6dOqFRo0YPLcu0Jd7C3I+tW7diz549CA8PR82aNQs8r63jiOjZxYQUERHlYTSZcfueDn/su4k+Xf4P+//8b8PX4LfrYsnq9qji5wIHlTynRM+LJXpERPdbu3YtKlasiEWLFqFBgwaoWbMmnJyc8oy7dOkStm3bZvO8x48fR+XKlTFu3Dir9n379iEgIAA7d+7E3LlzcerUKWzevDnfUr3c8cnJyZY38E2ZMgUhISH44osvLPsINWjQAGFhYVbHhYeHIygoCGq1GlWqVMGSJUus+kNCQiCRSCCEwMyZMyGRSNC2bVurMUIIpKen2/x5VLnZk5CUlAQAUKlUefr8/f1x9epVq7b776dEIkHdunXh6uoKs9mMkydPYsCAAfj777/xySef5Hu+ot6To0ePAkC+Sc9XXnkFf/31F1JTU/M9ty3xFuZ+LFq0CM2aNcPw4cPh4eEBR0dHdO/eHefOnbM6ztZxRPTsYkKKiIisZOqNuHEnFV98/hcG9fsNd2N1AAAXVyUWr2yHd0Y1hIezPVT2Mvh4/PsWPQnfokdEdL9r167ZtOqjZs2a2LBhA06dOmXTvMePH0d8fDyWLFmCCxcuAACioqLw6quvon79+pDL5ZgyZQpu3bqFatWqWTa3PnLkiNU8mzdvRseOHeHi4gIAOHjwIDZu3IgJEyagffv2mDlzJpKSktCrVy9LImPHjh146aWXkJ6ejunTp2PAgAH45ptvrOYdOnQo1q5dCwDo1asX1q5di48//thqzM2bN+Ho6GjzZ8OGDTbdm+L0wgsvAAB27txp1Z6ZmYnjx4/j7t27Vu0P3s9cw4YNQ2BgILZs2YI+ffqgfv36+Z6vqPfk9u3bAABfX988c1euXBkAcP369Uded0Hx2no/4uPjceLECezbtw+pqan4+OOPMXr0aJw4ccKyWrAw44jo2SYr6QCIiKh0EEIgOU2PqzdTMHHcAYT9fsvS16BxOUyb1wK+vk7Q2MugUsrg467hqigiogJUqFABBw8ehNlsfmS52qpVq/DSSy9hzZo1aNy48UPHvv/++5BKpRgxYgSOHz+OKlWqoFevXqhWrRpWr14NpVL5yM29DQYDtm3bhuXLl1u1SyQSREREICAgAADg7e2NN954A5cuXUKdOnUwZMgQtGnTBr/99hsUipwS7fbt21uVvgUFBSEoKAiDBw9Gw4YNERISkuf83t7eiIiIeGiM96tRo4bNY4tLz5494e/vj/fffx+pqan43//+h7t372LmzJl5yhELup8A0LdvX7Ru3Rpbt27Fxo0bkZCQgN27d0PywBc5Rb0nmZmZAHLK7x7k4eEBADa9ba+geG29H2fOnIEQAj179sT27dst1zlixAjUrVsXo0ePxuHDh20eR0TPNiakiIgIJrMZdxMzcPhoLMaMCEPs7f8eWt8YUgdD36sPF0cllAopXByUKOeq4qooIqKHGDJkCJYvX47g4GC8//77cHZ2fuj4OnXqoHXr1vjyyy8xaNCgh4599dVXMWLECCQmJiIkJAQJCQk4ceIElEqlTbH9/vvvyMjIyFPe1axZM0syCshJqgFARkYGdu/ejYSEBMyfP9+SjAL+WzlTGEqlEkFBQYU+7mlSKpXYu3cv3njjDYwcOdLSHhAQAAcHB6vVbwXdTwDo2rUrACA4OBhTpkzBnDlzsHfvXnTq1CnP+YpyT8qVKwcA0Gq1lgRUrtxklaOj4yPneVi8ttyPhIQEAMD48eOtkm4+Pj4YMmQIFi9ejLS0NJvH2RIzEZVdTEgRET3nMvVGxCSkY+1XF7BwznEYjTnfrDu7KDF5dnO0alcRjio55HIpvNzUcFJz43Iiokfx9fXFsWPHMH78eHTs2LHA/XseNGTIEMjl8oduNu7u7g6ZTIZVq1YhJiYG+/fvh4+Pj82xbd68Gd26dcvzy/6Dq3bud+XKFQA5ibOiMpvNNt8PAFCr1VZJsKfF19cXBw4cwOXLl3Hr1i1UqlQJWVlZCAgIQOfOnS3jCrqfDxo9ejTmzJmDM2fO5ElIFfWeVKxYEQBw48aNPAmp3P2dcsfY6sF4bbkfarUaQP57TVWpUsWyV5at45iQInq2MSFFRPScEkIgJT0b126lYNKHEfh9V5Slr15DT0xf0AJ+fs4s0SMiekw1atTAjh07bBobEhKCv//+Gxs2bHhkiVpCQgKMRiOuXbuG9evX48UXX7Q5Jr1ej59//hlff/21zccAgIODAwAgLi7OsicRAJhMpkLNAwC3bt1ClSpVbB6/du3afEv/nhZ/f3/4+/sDyNkXS6VSYfDgwQAKdz8zMjIAIE/CCCj6PQkKCoK9vT12796NwMBAq7F79+6Fv78/3N3dbZ7/YfE+7H7krpQ6efIkmjRpYnXczZs3odFo4OnpafM4Inq2MSFFRPQcMpkF4pIycORYTone7Vtplr7XgmvhndEN4eKkhFIuhaujEp4uLNEjInpSduzYAaPRiIiICJvK7iIjIwHkbCD+qPK+B/32228wmUzo1q1boY5r3bo1AODzzz/HokWLLO0rVqwAkPMlh62e9h5S0dHRqFSpUpHmAIBPP/0UO3bswJw5cywlcgXdz4MHD+YpwZs9ezYUCoXV6qpcRb0nDg4O6NatG1atWoX33nsPbm5uAHLeirh3714sWLDAavyD96Sw8QL534+aNWuidu3aCA0NxcCBAy0rnOLi4rBmzRq8/PLLkMlkNo8jomcb/y8nInrO6LNNuJ2QjvVrIzFv5lEYDDkleo5OCkya1Qxt/+fLEj0ioqfk6tWr+OWXX7B+/fpHbn4OAImJiZbVKI+z59DmzZvRs2dPS8mUrerXr48BAwZg8eLFiI6ORsuWLXHo0CFs2bIFAJCVlWXzXE9zD6l58+Zh0qRJ2LRp00PLIB8mKSkJM2fOxPLlyzFkyBBMnDjR0pff/Tx27BhatWqFjh07olu3bkhLS8POnTtx7NgxLF261LI31/2K457MmjULgYGBaN68OYYNG4aEhAR89tlnaNKkidW+Tw/ek8LG+7D7AeQkKTt37ozAwEAMHjwYBoMBq1evhkKhwPz58ws9joieXUxIERE9R7TpelyN1mLqRxHY9csNS3vteu6YsbAlqlRx+a9Ez0MDhYwlekRET1KVKlWwYsUKm5JRJpMJ/fv3h1arBYBCl2DpdDr88ssv2Lhx42PFum7dOlSoUAEbNmzA9u3bERAQgC1btmD8+PGF3p/oaSlXrhwcHR0Lfa8AYNKkSTh69CiOHDkCtVqNL774AiNGjLD0F3Q/mzZtinXr1uHzzz/HhAkTIJVKERAQgO3bt6NXr15FvqaC1KpVCwcOHMDHH3+MmTNnwtnZGcHBwZg3bx7s7e0t4x68J7bG+6j7katNmzbYv38/pk+fjgULFsBoNOKll17CokWLrPY6s3UcET27JKIw62sJqampcHZ2hlarhZOTU0mHQ0RkE7NZIC45A8dP3sXo4X/i5o3/Nk599Y2aGD62IVyd7FmiR1RK8fmDAGDMmDFYs2YNvv/+e/Tq1Qvffvst3nzzzZIO65n1xhtvoFKlSmjSpAk6depk2UfrecX7QUTFjQmpQuIDIRGVNdkGE27fS8f33/2NOdOPQq/P2YDWwVGOj2c2Q4dOfnBUyyGXSeHtpoYjS/SISh0+f9D69esxePBgbN++HS1btoS7uzsGDBiATZs2lXRoREREj4Ule0REz7DUjGxci9Zi2scH8cv2a5Z2/9pu+GRREKpWZYkeEVFpd+LECbzzzjuYPXs2evToASEEfHx8sHnzZtSoUQPjx4+3bApNRERUVjy6WJ2IiMocs8h5i174oWj07brdKhnV97UaWPldR/jXcIODSg43J3v4lXdkMoqIqBSKi4vDyy+/jO7du1s2j5ZIJJg+fTokEgmioqKgUqlKOEoiIqLCY8leIXHJPBGVdgajCTEJOmzccBGfTD0MfVZOiZ5GI8dHM5qiY9fKLNEjKmP4/PH8ys7ORkZGBhwcHCCTWRc3JCUlwdXVFRLu+UdERGUQS/aIiJ4haRnZuB6TihmTDmL71quW9hq1XDFjYUu88IKbpUSvgocGcq6KIiIq1RQKBRSK/L84cHNze8rREBERFR8mpIiIngFCCNzTZuHEqZy36F27kmLp693vBYyc0BjuLjlv0XP79y16/EadiIiIiIhKChNSRERlnMFoRmyiDps3XcSMSYeRlWkEAKjUMnw49UV06VmVJXpERERERFSqFEtCKiYmBkeOHMHNmzdhMBjg7u6OunXromnTprCz477pRERPii7TgOu3tZg59TB++uEfS3u1F1wwc1FL+Pu7Q2Mvg1oph4+HmiV6RERERERUKhQpIbV7927MmTMHhw8fxoN7o0skEri7u2PEiBH46KOPoFarixQoERH9RwiBBG0WTp6Jw5jhf+KfS8mWvh4vV8Poj5vAw03FEj0iIiIiIiqVHishlZWVhZEjR+LcuXPo3r07PvroI1SsWNHy9o/MzEzEx8fj4sWL+OOPP9CoUSNs3boVdevWLe74iYieO0ZTTonejz9cxrSPDyIjI6dEz14lw7jJgejepxoc1XIoZFJ4sUSPiIiIiIhKIYl4cGnTI+h0OrzxxhsYNWoU2rVrZ9Mx165dw6hRozB//nzUq1fvsQItLfjaZSIqSRlZBtyIScWs6Ufww/eXLO1Vqjlj5qIg1KrFEj2iZxGfP6gwTp48iffffx9Xr15FzZo1sXLlyjL/DE5ERM+eQm/wtHjxYqxatcrmZBQAVKtWDdu3b8c333yD1NTUwp6SiOi5J4RAojYLEcdj8UrPn62SUZ17VsHqjZ1Rv54nHFRyuDvZw7e8A5NRRETPoYSEBPTt2xdLlizBvXv30Lt3b/Tp06ekwyIiIsqjUCukdDodUlJSUKFChcc6WXZ2NmJiYlClSpXHOr404DeURPS0GU1m3EnMwNatlzH1o4PQ6QwAAKVSig8mB6JX3+os0SN6xvH5g2wVFhaGP//8E3PmzAEApKWlwcnJCXFxcShXrlyJxGQwGHDp0qUir9J63HlSUlIQGRmJli1bFun8RERUvAq1Qkqj0Tx2MgoAFApFmU5GERE9bZl6I/65mYKPP9yPse/tsySj/Ko4YdX3nfDKqzXgrFHAwV6Byl5OTEYRET3n2rdvb0lGAUBERAS8vb3h7u5eYjH16NEDI0eOfGrztG3b1upFHo0bN8bkyZML7C9trly5gj59+sDDwwMeHh4YPnw40tPTCxxvMplQuXJlSCSSfD/5rZBbunRpnnGDBg167HFERI+jSG/ZyxUfH4+jR48iJSUl3/4333yzOE5DRPTcEEIgOV2P02fjMGbEPkSeT7D0vdStMj6c9iLKuav5Fj0iIipQfHw8RowYgWXLlkEqLbky7qysrKc6T5UqVZCQ8N+/myaT6aH9AHD48GHUrl0bLi4uRY6zKK5evYpmzZrB3d0dEyZMQEpKCpYvX47IyEiEhYVBJsv761tKSgqmTJmSp/2ff/5BaGhonoSUwWDAkiVL0LhxY7z77ruW9g4dOjzWOCKix1XkhNSePXvQr18/6HQ65Ff9J5FImJAiIioEk9mMu4kZ2PZ/VzBp/AGkp+WsilIo7DD64ybo8+oLcNIooJBJ4e2ugYNKXsIRExFRfk6fPo2RI0fixIkTMBgM+O677/DGG288lXPr9Xr07t0bL7/8Mvr16/dUzllarF27tlD9Fy5cQOfOnXHu3LkST0iNHDkSSqUSR48ehZubGwCgdevW6Ny5M9asWYN33nknzzHu7u4YOnRonvZJkyZBqVSiV69eVu3fffcdbt++jQ0bNqBNmzYFxmLrOCKix1XkhNTYsWNRqVIlfPHFF5alokRE9Hiyso24EZuKebOO4btvIi3tFX0d8cmiINSv7wm1vQxqezl83DWQywr9bgoiInoK7t69i/bt22Po0KFYsWIFlEolfHx8ntr5hwwZAmdnZ4SGhj61c5ZVJ0+eRFpaWkmHgejoaOzevRtTp061JKMAoFOnTmjUqBFWrVqVb0KqID/88AM6d+4MZ2dnS5vZbMbChQtRv359vPjiiwUea+s4IqKiKPJvMjdu3MDbb7+Ntm3bonLlyvDz88vzISKihxNCIDlNj8OnYvFq7x1Wyaj2nXyx5ocuaNSoPDQqOdydVfAt58BkFBFRKbZ27VpUrFgRixYtQoMGDVCzZs18N6S/dOkStm3bZvO8x48fR+XKlTFu3Dir9n379iEgIAA7d+7E3LlzcerUKWzevPmhpXpTp05F//79MXPmTPj5+UGpVKJ+/fr4+eefrcZNmzYN3bp1w7p161ClShVoNBr89ttvAIANGzagYcOGsLe3h4eHB/r164dLly7lOZder8f06dNRvXp1qFQqBAYGYteuXVZjEhMTMWTIEHh5ecHBwQHNmzfHvn37Cj3Pzp070bFjxwKv+/7+BQsWYPDgwQBySvkkEgnOnDmDixcvws7ODtOmTcsTo1wux3vvvWfVLoRAenq6zR+j0ZgnrqNHjwIAevbsmafvlVdewV9//WXzG8uPHTuG69evo3///lbtu3fvxuXLl3Hu3Dm4urqiS5cuOH/+fJ7jbR1HRFQURf5tJiAgAOHh4cUQChHR88lsFriTmIHNP15Cny7bceFszr4Wcrkdxk4OxOzFrVDBSwO1UoaKng4ox/2iiIhKvWvXrqFmzZqPHFezZk1s2LABp06dsmne48ePIz4+HkuWLMGFCxcAAFFRUXj11VdRv359yOVyTJkyBbdu3UK1atUsG2MfOXIkz1wRERHYsmULPv30UwwaNAhTp05FRkYG+vTpgz/++MMy7sCBA9i/fz/eeusttGrVClOnToW9vT0WL16MQYMGwdXVFbNnz8awYcOwf/9+BAYG4uzZs1bnOnr0KL7++muEhIRg8uTJ0Gq16N69uyWxBQC9evXC5s2b8eabb2L27NnQ6XTo0aMHYmJiCjXPTz/9hN9//73Ae3h/v5+fH4YMGQIACA0Nxdq1a+Hr64tatWqhU6dOWLVqFfR6vdWxRqMRAwcOtJrz5s2bcHR0tPmzYcOGPHHdvn0bAODr65unr3LlygCA69evF3hd99u8eTNUKlWe5FbHjh1x69YtHD16FHPmzMHly5fRqFEjrFix4rHGEREViSiiQ4cOCXt7ezFp0iQRFRUlbt68mefzLNFqtQKA0Gq1JR0KET0DsvRGcelmshj89i4BhFo+FSqtFF9vPi9OXooTf0cliqi7qSLbYCrpcImohPD5o+yZNm2a8Pf3FybTo//ujo+PFw0aNBAnT560ae4VK1YIAGLNmjUiPT1d1K9fXzRt2lRkZWUVKsY2bdoImUwmTp8+bWlLTEwU5cuXF4GBgVbjAIhRo0ZZ2m7fvi0UCoXo37+/MJvNlvY7d+4Id3d30bZtW6vj1Wq1iIqKsrRptVpRsWJFUbduXcvPvr6+YuPGjZYx58+fFwDEjz/+aPM8QggRHBws7v81x8/PT7Rp06bA/rVr1woA4saNG1b3Z8+ePQKAWLdunaWtQ4cOomrVqnnuZVZWloiIiLD5ExcXl2eOOXPmCAAiOzs7T9/evXsFABEREZGn70Emk0lUqFBB9OvX75FjMzIyRKdOnYRUKhV///13kccRERVGkfeQysrKgp2dHebPn4/58+fnO+bBN1sQERGgTdfjr8h7GDPiT5w9fc/S3valSvh4ZjN4ldPkvEXPyR6ezvZcFUVEVIYMGTIEy5cvR3BwMN5//32rfXzyU6dOHbRu3RpffvklBg0a9NCxr776KkaMGIHExESEhIQgISEBJ06cgFKpLHSczZo1Q0BAgOVnNzc3vPXWW5g3bx7S09Ph4OAAAJDJZFbla7t27UJ2djamTp1q9e+Tl5cXhg4dikWLFiEzMxMqlQoAEBgYaLWVh5OTE0JCQjB79mykpKTAxcUFV65cgVwux5UrV7Bz5078+eefAID09HTLcbbMU1w6duyIOnXqYNmyZQgODsa9e/cQHh6OSZMm5RmrVCoRFBRUpPOVK1cOAKDVauHh4WHVl5mZCQBwdHR85DwRERGIiYnJU66XH5VKhXXr1qFixYr44YcfMGPGjCKNIyIqjGLZ1Fwmk2HSpEmoWrUq7Oy4pwkR0cOYzQJxyRnYsfMaPh67HynJOaUAMrkd3hvXCP3f8IeTRgmFzI5v0SMiKqN8fX1x7NgxjB8/Hh07drR5758hQ4ZALpdjwIABBY5xd3eHTCbDqlWrEBMTg/379z/2hun57TFVsWJFALBKSDVu3Bju7u6WMfHx8QBy9l16kK+vL0wmE1JSUiwJqfx4e3sDyPmCGwBiY2MxYsQI7Nq1C35+fqhdu7ZN1/DgPMVp9OjRePvtt3Hw4EFcuHABJpMp3zclms1mm/+MAUCtVkOhUFi15d73Gzdu5ElIXb161WrMw2zevBkODg7o2rWrTbF4eXnBzc0Nd+7cKZZxRES2KnJC6tKlS5g+fTomTpxYHPHkceLECUyfPh1HjhxBdnY26tSpgzFjxuD1119/rPkMBoOlrt3f3z/fTReJiJ4UvcGEW3fTsHDecXy98pyl3buCBjMWtkTjxl58ix4R0TOiRo0a2LFjh01jQ0JC8Pfff2PDhg2oUaPGQ8cmJCTAaDTi2rVrWL9+fbG/Be3KlStwcXGxrNgBAHt7e6sxuUmga9euoV69elZ9Fy5cgKOjIzw9PR96nsjISMt50tLS0Lp1a7i4uGD//v1o3bo1oqKi8k14PWye4jZo0CBMmjQJy5YtQ2JiIgIDA/P987l165ZNseZau3YtQkJCrNqCgoJgb2+P3bt3IzAw0Kpv79698Pf3t0oK5sdoNGLr1q3o1avXQ5OB97t79y7u3buHChUqFMs4IiJbFTkh5eXlheTk5OKIJY/w8HB06tQJCoUCAwYMgLOzM7Zt24aBAwciKioq3+WyjzJr1izLNwxERE9Tqi4bZ/++hzHvheH0iThLe6v2FTHxk2bw8XJgiR4R0XNox44dMBqNiIiIsKnsLjIy502sQ4cOfWR536PExsYiOzvbslrn1q1b+Oabb/DGG288tPKhc+fOUCqVmDlzJrZs2WIZe/nyZaxbtw7Dhw+HTFbwrxpnz57FN998gyFDhsDOzg6///47oqOj8dNPP1mSMQ++Pc+WeR5H7r+3uWVx97O3t8e7776L+fPnw2w2Y+nSpfnO4e3tjYiICJvPmV9Sy8HBAd26dcOqVavw3nvvwc3NDUDO70R79+7FggULLGOjo6NRqVKlPHP88ccfSEhIKLBc7/z581YJRJPJhA8++ABSqdRqVZ6t44iIiqLICam3334bCxYsQHBwMOrUqVMcMQHIye4PHToUEokEBw4csNS2T58+Hc2bN8f06dPRr18/vPDCCzbPefr0acybNw9LlizBqFGjii1WIqKHMQuB+ORM/PrbNXw4KhzJ/5boSWUSvDsmAANDarFEj4joOXX16lX88ssvWL9+vU0JlcTERAwePBgAirxnEZCzGqpFixYYNGgQ7t69izVr1sDLywtz5sx56HHe3t6YO3cuxo0bh9atW6N37964d+8evvrqK3h6elp9cWxnZ4cDBw4gODgYjRo1wuXLl7F27VpUr14dc+fOBQDL3k+LFy9Gy5YtsWfPHvz6668AcsrhbJ3nceS+wW7KlCkIDAyEnZ0dPvroI0v/e++9h4ULFwJAgcmY4thDCsj58jwwMBDNmzfHsGHDkJCQgM8++wxNmjTByJEjAQDz5s3DpEmTsGnTpjzxbN68Gc7OzujUqVOeue/cuYOmTZuiUaNG6Nu3L3Q6HX7++WecPHkSS5cutSTJbB1HRFRkRd0VfeDAgUIulwuVSiXatm0r2rVrZ/Vp3779Y82b+1aLwYMH5+nbvHmzACAmTpxo83x6vV7Uq1dPBAUFCbPZLAAIf3//QsfFt9wQUWHoDUZx9XayeHfkXiGR/PcWvfJeX4gvvzvLt+gRkU34/PHsMhqNwmAw2Dy2Q4cOws3NTQAQO3fuLNK527RpI2rWrClefvll4ezsLNzc3MRbb70l4uPj84y7/y1199u4caMICAgQSqVSeHh4iJCQEBETE2M15urVq2LgwIGiXLlyQi6XCz8/PzF+/Hir/57NZrMYPny4cHJyEuXKlRNdunQRO3bsEADErFmzbJ5HiMK/ZU8IIYYOHSo0Go3w9vYWO3bsyHOdtWrVEl26dCn4ZhajU6dOiZdeekk4ODiIChUqiOHDh4uUlBRL/9dffy0cHR3F3r17rY7LysoSzs7OIiQkpMC5f/vtN9G6dWvh4OAgVCqVaNmyZb7/Hdk6joioKCRCCFGUhNa0adMeuTx13759hZ530qRJmDdvXr6Z/+TkZLi5uaFFixY4dOiQzfMtXboUZ8+eRY0aNSCRSB5rD6nU1FQ4OztDq9XC6f/bu8/wqMqEjeP3ZPpMZiZlAiFURYqAVEWqiI1dV0VRbLjqa0MsgAICIoZQZAFdXcVVVxTbsohrWXddlRUIHQUbiogB6UgJkF4nc94PIbOy1ECSmUz+v+viA885OXl4fPCa3Jz7HK+3Ul8LoG7JLSjRt+sz9fADC7V61e7QeI8LUjRuSg81bEBFD8DJ4fMHJGn48OF65ZVX9Ne//lX9+/fX66+/rltvvfWUr3fhhRdKKq+E4djWrVundu3aac6cObrpppvCPR0AiBqnXdmbOHFiVczjCBkZGZJ01EpefHy8/H5/6JwTWb16taZPn64nnnii0reYFhcXq7i4OPT7yrw9A0DdZBiG9mUV6qOPN2vUsEXan1n+1h+z2aR7hnbULXe0kS+Wih4A4OS98cYbeu655/TBBx+oZ8+eksqfsXQ6gRROzpQpU5SUlKRrr7023FMBgKhSqUAqNzdXn3zyiQYOHHhK3+zbb79VMBgMPQ/qeLKzsyVJPp/vqMe9Xq927NhxwusUFxfr9ttvV6dOnTRixIjKTVjlHe20tLRKfx2Auqk0ENT2vbn644w1+vOfvlbFPahJ9V2aML2nzj+/AW/RAwBUyurVqzV48GBNnjxZV155pQzDUEpKiubOnauWLVtq5MiR8ng84Z5mVPnTn/6kLVu2KCsrS3/729/07LPPhh78DgCoGpX6Scjj8SgzM1OzZs2q9Ddavny53nzzzZMKo6rS+PHjlZGRoVdffVVms7nSXz927FhlZ2eHfm3fvr0aZgkgGuQVlmrNd7s16Pp/6fln/htGdevVQK/O+6169mwot9OqRJ9TTerFEkYBAE5oz549GjBggK644gqNHTtWUvlb4VJTU2UymbRlyxY5nc5TurbH4wndbYXDNWjQQK+//ro++eQTjR8/Xg888EC4pwQAUeeUniE1atQo7dixQ5MmTdJZZ5113HN37Nihp556Sj///LPmzZt3Uq+ylaSBAwfq73//u9asWaMuXboccTwpKUkmk0l79+495jW++uorde3aVePHj1dqauphx3iGFICqYhiGMrOL9PGnmzXiwUXK3Ff+2uiYGJPueqC9bru7HRU9AKeFzx91V0lJiQoKChQbGyuL5fByw4EDBxQfH88zCAEAtdIpPUNqxowZeumll9S5c2c1atRIHTp0UMOGDeV2uyVJ+fn52rVrl7777jtt2rRJkyZN0tNPP12p71Hx7KiMjIwjAqmDBw8qMzNTPXr0OO411q5dq7KyMk2YMEETJkw44viGDRtkMpnk8/mUlZVVqfkBgFRe0duxL0/P/HGNZv7xa5W/xFPyJzn1+LQe6tGjIRU9AMAps9lsx6yKJSQk1PBsAACoOqf8UPPBgwdrwIABeuGFF/SPf/xD7777rgKBgCTJbDarXbt2GjBggAYPHqyUlJRKX79Pnz6aOnWq5s+ff8Rb9ubPnx8653hatmypO++886jHXnnlFfl8Pl133XVyuVyVnh8A5BeV6vsNmRoxNF3Ll+wMjZ/bLVmpf+ipxo08vEUPAAAAAI7ilCp7RxMIBLR//34ZhqHExERZradXSQkEAmrVqpV27typVatWqWPHjpLKH6zevXt3bdiwQevWrQu9NS8zM1OZmZny+/3y+/0nvD6VPQCnyjAM7c8p0qefbdHD9y/S3j0FkiSTSfq/Ie11x73tFOdxUNEDUGX4/AEAAKJNlXVHLBaL6tevr+Tk5NMOoyquN2vWLAWDQfXu3Vv33HOPRo4cqQ4dOmjdunWaMGFCKIySpJkzZ+rss8/WzJkzT/t7A8CxBMqC2rYnV1Onfq7bbvh3KIxKSHTo6b9cpPuGdlSC16FYp1XNkr2EUQAAAABwFKdc2fu1nTt3avny5TKZTOrUqdMJH3R+svr27atly5YpNTVV8+bNU0lJidq2batJkyZp0KBBVfI9AOBkFRSVat3GAxo5dJGWLNoRGu/ctb5Sp/VU08ZeKnoAAAAAcBJOu7L36aef6tprr1VhYaEMw5DJZFKfPn30wgsvqFWrVlU1z4jBLfNA3WMYhg7kFus/C7boofsXafcv+ZLKK3q33XOO7rr/HCp6AKoVnz8AAEC0Oe3K3ujRoyVJzz//vJYtW6bZs2ersLBQ3bp106pVq057ggAQToGy8rfoTZv+uW65/qNQGBWfYNdTL/bVAw91oqIHAAAAAJV02ndIxcbG6p577tEf//jH0JhhGLrtttv06aef6ocfflBiYuJpTzRS8C+UQN1RWBzQ+o0HNHJ4uhZ9ti003vHcepowraeaNfWVV/Q8diXFOanoAag2fP4AAADR5rTvkGrevLni4+MPGzOZTHr55ZflcDg0ffr00/0WAFCjyit6RfrXpz/ryn7vHRZG3XJnWz33yiU668w4uewWNUqKVb14F2EUAAAAAFRCpQKp2bNnq0OHDnrggQf09ttva+fOnbrnnns0d+5clZaWHnau3W7X9ddfr/fff79KJwwA1aksGNTOfXl68qnVuvm6f2nXzjxJki/OrhnPX6jho7oo0edQrNNGRQ8AAAAATlGl3rLXv39/vfPOO3rzzTf15z//WSaTSSkpKdq1a5cGDhyo559/Xg0bNgyd73K5tG3btuNcEQAiR1FJQOs3HdDd14zSpg2/yCW7ctRH53T0a8KMXmp+Rhxv0QMAAACAKlCpQCohIUH//ve/FQwG9eWXX2rRokVavHixcnJy9OGHH+qf//ynWrZsqUsvvVQXXXSR3nnnHfl8vuqaOwBUCcMwlJVXooVLtmn4bU/JvP+vilOZDJnVvW8HPfb0zYr32WWzmJWc4JLHZQv3lAEAAACgVjvth5pLOiKgWr58uXJyciRJgwYN0ptvvnnaE40UPFQUiC5lQUO79+frxRe/1Z/SZimx7LXDjptMJo178XVdctXVSvG7ZbWc9qP3AKDS+PwBAACiTZUEUv8rGAxqzZo1Wrp0qQYNGqTk5OSq/hZhwwdCIHoUlZRpw+YDGj1isT79aIsa6FnZtf2I89p2Plf/XPMFFT0AYcPnDwAAEG0qVdk7WTExMeratau6du1aHZcHgNNiGIay80uUvmy7ht27QNu25kqSrNp91PM3b1hPGAUAAAAAVYjuCYA6JRg09Mv+fP3pua90Q/8PQ2FUrMeq+k1aHPVrWrRtW5NTBAAAAICoVy13SAFAJCouLdNPWw5q7Mgl+ujDn0PjrdsmaOKTvXVgS7ym3Xe7ft1kNplMuu/RR8MxXQAAAACIWgRSAOqE7PwSLV5eXtHbsjknNH7tza00dFRnJcY5ZG13lZLj39ao3w9SaWmprFarZr7zji7r3z+MMwcAAACA6EMgBSCqBYOG9hws0CuvfKfJj69UcXGZJMkda9XoCefrt1ecKbfDIqfdooZ+t1reMFD7dm5XXk6OYr1ewigAAAAAqAYEUgCiVklpmTK2ZenRR5bow/c2hcZbnh2vSU/1VquWCbJbzUrw2JUU5ww9uPyuhx8O15QBAAAAoE4gkAIQlXIKSrR05U4Nvfcz/bwxOzR+9fUtNHzMufLHO2S1mNUgwSWPyxbGmQIAAABA3UMgBSCqBA1D+w4WavZr3yvtsRUqKgxIklwuix6ZcL5+d1Xzwyp6Vos5zDMGAAAAgLqHQApA1CgJlGnTtmyNG7NU77+TERo/q2WcJj7VW23OTpTdala8x656v6roAQAAAABqFoEUgKiQW1CiZV/s0rDBnynjp6zQ+FXXnaWHxp6rpHinrFYqegAAAAAQCQikANRqhmFob1ah3nhjnVIfXa7CgvKKntNp0cjHz9NV17QIVfRS/G7ZqOgBAAAAQNgRSAGotUoDZfp5e47Gj1uqd/72U2j8zLN8mvRUb7Vt6w9V9JLinIqhogcAAAAAEYFACkCtlFdYqhWrd2novQu0Yf2B0PjlV5+pUY91VVICFT0AAAAAiFQEUgBqFcMwtC+7SG/99QeNH71UBfnlFT27w6wR487TNQNbUtEDAAAAgAhHIAWg1igNBPXzzmxNeGy55r71Y2i82ZleTXyqt9q3S5LdZlZ8rF1J8VT0AAAAACBSEUgBqBXyCkv1+Ze/6MF7F2j9uv2h8X5XnKFRj3dVst8lq9Ws5ASXvFT0AAAAACCiEUgBiGiGYSgzu0h/m7te40YtVV5eqSTJZjfrobHn6tobWirWaS2v6CW6ZbNS0QMAAACASEcgBSBilQaC2rIrR2mpK/TX134IjTdu5tGkJ3urY4d6stvMiou1qx4VPQAAAACoNQikAESk/KJSffH1bg29d4G+X5sZGr/kt001ekI3JSe5ZLOalRzvktdNRQ8AAAAAahMCKQARxTAM7c8p0tx5P+rRkUuVm1MiSbLZYjR0dBcNvKmVPC6bHDaLGvqp6AEAAABAbUQgBSBiBMqC2vJLjiZPWKnXX1kXGm/UxKOJM3qpU+f6clDRAwAAAIBaj0AKQEQoKCrV6m/3aOi9C7T2m32h8b6XNdGjE7spuZ5bNsuht+hR0QMAAACAWo1ACkBYGYahAznFmvfeBo15aLFysssrelZrjB4Y1Vk33tI6VNFL8btlp6IHAAAAALUegRSAsAmUBbVtd66mTFqlV1/6LjTeoGGsJj3VS1261JfDZpHPbVP9eJdiYqjoAQAAAEA0IJACEBYFxQF9uXaPhg5ZoG++3Bsav+Dixho3qbtSkt2yHqro+ajoAQAAAEBUIZACUKMMw9CB3GK99/5PeuShxco6WCxJslhidN/DHTXo9jZU9AAAAAAgyhFIAagxZWVBbd+bpycmr9LLf14bGk9OcSttRi917ZpMRQ8AAAAA6gACKQA1orA4oK+/36th9y3Umi92h8Z7XdhIj03proYNYg9V9Jzyue1hnCkAAAAAoLoRSAGoVoZh6GBesT74cKNGDk3XwQNFkiSzxaR7h3XUrXe2lcdlk91mUUMqegAAAABQJxBIAag2ZcGgdu7N0x+mfqEXn/tGhlE+Xi/ZpbQZPdWtW4ocNou8bpuSqegBAAAAQJ1BIAWgWhQWB/Tt+n0adt9CfbHyl9B4994penxqDzVK8chqMat+vFNxsVT0AAAAAKAuIZACUKUMw1BWXok+/GijRjyYrv2ZhZIks9mkux/soNvvbiePu/wteg0T3bLbqOgBAAAAQF1DIAWgypQFg9q5L18zpq/Wn5/5WsFgeUfPX8+ptOk91b1HQzntFnldNiUnUNEDAAAAgLqKQApAlSgqCWjtj5kafv9CrVy2KzTetWcDPT61h5o28spqiVH9eJd8bptMJsIoAAAAAKirCKQAnJaKit6/PtmkEQ8s0r695RW9mBiT7rzvHN0xpL28bpscVrNS/G45bPxvBwAAAADqOn4yBHDKyoKGfsnM11NPrtazT30Vqugl+h1KndZTvXo3ClX06ie4ZKaiBwAAAAAQgRSAU1RUUqbvf8rUQw8s1LLFO0PjXc5P1oRpPdS0sU82a4zqxbkUF0tFDwAAAADwXwRSACrFMAxl55fo4/mbNfz+hdq7u0CSZDJJ/3fvObrrvvbyeeyyW81qSEUPAAAAAHAU/KQI4KQFg4Z27c/XM09/qWemr1FZWXlFLz7Bocf/0EN9Lmwsp90ij8uq5ASXzDExYZ4xAAAAACASEUgBOCnFJWX6PmO/RgxdpMULt4fGO51XXxOm99QZTcoreklxTsXH2qnoAQAAAACOiUAKwAll5xXrkwVbNXzIAu3+JV9SeUXv1rvb6p4HOirOY5fdZlZKoltOO/9bAQAAAAAcHz85AjimYNDQ7gP5evZPX+mpP6xWIFBe0YuLt2v81B7qe1ETOe0WxTqtapDgktlMRQ8AAAAAcGIEUgCOqri0TD9sPKCRwxZp4X+2hcY7dE5S2vReOvOMONkshyp6Hip6AAAAAICTRyAF4AjZ+cX6z6JtGj5kgXbuyAuND7qzjYYM66T4Q2/RS/FT0QMAAAAAVB4/SQIIqajoPf/8N5o+5QsFSoOSJK/Ppsee6K6LL20mp80sj8tGRQ8AAAAAcMoIpABIKq/o/fjzQT3yULrmf7wlNN6ug18Tn+yls86Mk81ilj/OqQQqegAAAACA00AgBUA5+SVasHibhg5ZoB3bckPjN952th54uJPivQ7ZDlX0XFT0AAAAAACniZ8sgTosGDS052CBXnjhG/1h4ucqPVTR83htGje5my7t1+zQW/RsapDokoWKHgAAAACgChBIAXVUSWmZftx8UGNGLNbH/9ocGj/7nERNfrKXzjorXjaLWUk+pxK8VPQAAAAAAFWHQAqog3IKSpS+bLuGDl6grVtyQuMDb2mtoSM7KcHnLK/oJbrkcljDOFMAAAAAQDQikALqkKBhaM+BAr388lpNSV2pkpLyil6sx6qxE7up3+VnyGW3yO20KiXRTUUPAAAAAFAtCKSAOqKktEwZ27I0esRiffSPn0PjrdokaOKTvdS6ZYJsVrP8PocSvQ4qegAAAACAakMgBdQBOQUlWrx8h4bdu0Cbf84OjQ+4qaWGPdJFiXFO2SwxSvG75aaiBwAAAACoZgRSQBQLGob2HSzUK69+p0njV6ioqEyS5HJbNCatmy6/8szyip7DqgaJblktVPQAAAAAANWPQAqIUiWBMm3clqVxjyzVB+9uDI23aB2vSU/11tmtyit6iV6H/D4qegAAAACAmkMgBUSh3IISLV21U0PvXaBNGVmh8f4DW+ihsefKH19e0WuQ6Fask4oeAAAAAKBmEUgBUSRoGNqXVajZr32vtHErVFQYkCS5XBaNeryrrrz6LLkcFrkc5W/Ro6IHAAAAAAiHiP9pdPXq1br88ssVHx8vt9utrl27as6cOSf99enp6br55pt19tlnKy4uTi6XS61atdIdd9yhDRs2VOPMgZpVEijThs0Hdd+9/9HYh5eEwqjmLeI0a+5vdc11LeV2WpXoc6pJvVjCKAAAAABA2ET0HVLp6enq16+fbDabbrzxRvl8Pr333nsaNGiQtmzZokcfffSE1/jss8+0bNkynX/++aFrrV+/Xm+88YbmzJmjjz/+WH379q2BPw1QfXILSrR89S4NHfyZMjZkhcavGNBcI8adp6QEp2wWMxU9AAAAAEBEMBmGYYR7EkcTCATUunVr7dixQytXrlSnTp0kSbm5uerevbs2bNigH374QS1atDjudYqKiuRwOI4YX7BggS655BKde+65Wr169UnPKycnRz6fT9nZ2fJ6vZX7QwFVzDAM7c0q1Jtv/qDHxy5TYUH5XVEOp1kjx3dV/wEt5HZY5LJbleJ3yWoxh3nGAIBTwecPAAAQbSK2s7Nw4UJt2rRJN998cyiMkiSPx6Px48crEAho9uzZJ7zO0cIoSbr44osVHx+vjRs3HvU4EOlKA2X6aetBPXj/Ao0alh4Ko844y6dZc3+r665vpVinVYleh5rUjyWMAgAAAABEjIit7KWnp0uSLrvssiOOVYwtXrz4lK+/cuVKHTx4UL169TrlawDhkltQopVf/qKhgxdow/oDofHL+5+pkY91Vb1Ep6xWsxokuORx2cI4UwAAAAAAjhSxgVRGRoYkHbWSFx8fL7/fHzrnZKSnpys9PV3FxcXKyMjQv/71L/n9fj399NNVNmeguhmH3qL317+t1/hHlik/v1SSZHeY9fC48zRgYEu5HRY57Ral+N2ycVcUAAAAACACRWwglZ2dLUny+XxHPe71erVjx46Tvl56errS0tJCvz/rrLM0d+5cdenS5bhfV1xcrOLi4tDvc3JyTvp7AlWpNFCmzTtzlfb4cs15Y31ovOkZXk16srfat0+S3WZWXKxd9eKdijGZwjhbAAAAAACOLWKfIVXVJkyYIMMwlJeXpy+++EKtW7dWz549NWfOnON+3dSpU+Xz+UK/GjduXEMzBv4rt6BES1bt1DVXvH9YGNXvimZ65e3fqlOnenI6LEpJdCs5wUUYBQAAAACIaBH7lr2BAwfq73//u9asWXPUu5iSkpJkMpm0d+/eU7p+IBDQueeeq40bN2rz5s1KSko66nlHu0OqcePGvOUGNaKiojd33gaNG7lEeXnlFT2b3azhY7ro2htayuOyyWGzqKHfLZuVih4ARCPesgcAAKJNxN4hVfHsqKM9J+rgwYPKzMw86vOlTpbFYlHfvn2Vn5+vNWvWHPM8u90ur9d72C+gJpQGgtq4PVsjHk7XsHsXhMKoxk09eumv/XTTLWfL67YrLtaupvU9hFEAAAAAgFojYgOpPn36SJLmz59/xLGKsYpzTtWuXbsklYdTQCTJKyzVstU7NeDKD/TWaz+Exi/+bVO9Ou9yndu5vpx2qxokutQg0a2YGCp6AAAAAIDaI2Ire4FAQK1atdLOnTu1atUqdezYUZKUm5ur7t27a8OGDVq3bp1atmwpScrMzFRmZqb8fr/8fn/oOkuWLFHv3r1l+p9n6syfP19XXHGFXC6Xdu7cKbfbfVLz4pZ5VCfDMLQvu0jv/H2Dxo5YotycEkmS1RqjoaO76PqbW8njssl+qKJn564oAKgT+PwBAACiTcTeGmSxWDRr1iz169dPvXv31k033SSv16v33ntPmzdv1uTJk0NhlCTNnDlTaWlpSk1N1YQJE0LjV111lfx+v8477zw1btxYhYWFWrt2rZYsWSKr1apZs2addBgFVKfSQFBbd+doctpKvT5rXWi8YeNYTXyylzp3ri+HzSKv26bkeBd3RQEAAAAAaq2IDaQkqW/fvlq2bJlSU1M1b948lZSUqG3btpo0aZIGDRp0UtdIS0vTJ598omXLlmnfvn0ymUxq3Lix7rrrLg0fPlxt27at5j8FcGJ5haX6cu0eDRuyQN9+vS80fuGlTTR24vlKqR8rqyVG9eNd8rltR9zxBwAAAABAbRKxlb1IxS3zqEoVFb333v9JYx5eouys8jc6WiwxemBUJ934+7PL36JnNSvFHyuHjYoeANRFfP4AAADRJqLvkAKiWUVFb9qUzzXrxe9C4ymNYpU2o6e6dEmW026R12VT/QSXzFT0AAAAAABRgkAKCIO8wlJ9/f1eDbtvgb5eszc03vuiRho3ubtS6sfKZo1RvTiX4mKp6AEAAAAAoguBFFCDKip6//hwo0YPT9fBg+UVPbPFpPse6qRBt7eRx22T3WpWSqJbTjt/RQEAAAAA0YefdoEaUhoIatueXE2f+rn+8vza0Hj9Bm6lzeiprl0byGm3yOO0KjnRJXNMTBhnCwAAAABA9SGQAmpAXmGpvlm3Vw89sEhrPt8dGu95YUM9Nrm7GjbwyGaJUVK8U/Gxdip6AAAAAICoRiAFVKOKit6//r1Jo4am68D+IkmS2WzS4GEd9fs728rrOlTR81PRAwAAAADUDfz0C1ST0kBQ2/fm6qnpq/XCs9/IMMrH6yW7NGF6T51/foqcdrM8LpuSE1yymKnoAQAAAADqBgIpoBrkFZZq7fp9evjBRfp8xS+h8W69UjT+ie5q3NAjm8Usf5xTCR4qegAAAACAuoVACqhChmEoM7tI//7kZ40cmq7MfYWSyit6dz3QQbfd3VY+t102q1kpiS65HNYwzxgAAAAAgJpHIAVUkdJAUDv25emZp9Zo5tNfKxgs7+j5k5xKndZT3XumyGW3KNZpVYNENxU9AAAAAECdRSAFVIHnp83Q5s27NX/+Hn23uWNo/LzuyXp8ak81aeSRzWqW3+dQotdBRQ8AAAAAUKcRSAGnwTAM/X3OPP1x3KMKlgVkyCyXLCqKOUd33HeO/m/wOfLF2mWzxCjF75abih4AAAAAAKIzBJyi0kBQb83+mx655UYFywKSJJPKlKQ3dP8Qk+59sKPiPXbFOq1qluwljAIAAAAA4BACKeAU5BWW6qsf9mry8MePOGaSoR+X/VVuh1V+n1NN6sXKauGvGgAAAAAAFfgpGagEwzC0L6tQH/57k/r3e09FuduOet72jA1qlBSrpDgnz4sCAAAAAOB/EEgBJ6k0ENTWPbmaPuML3XrDR9qzu0ClSj7quS3btlWsk4oeAAAAAABHQyAFnIS8wlJ9s36v/u+Wj/XkE6tVVmZIkhKaX3PEHVAmk0n3j3s0HNMEAAAAAKBWIJACjqOiovfR/J/V/zfvK33B9tCxW+9uqxffG61HX3hdFmv53VBWq1Uvvv++LuvfP1xTBgAAAAAg4lnCPQEgUpUGgtqZmaeX/vytnvzDagVKg5IkX5xd45/orj4XNZHbYdEl/furLGePCvPzFOv1EkYBAAAAAHACBFLAUeQVlurHTQc0esRiLZz/3weXt++UpAnTeunMM3yy28yKj7UrKd6pwaNGhnG2AAAAAADULgRSwK8YhqHM7CItXrZdw4Ys1K4deaFjg+5oo8EPdlS8zy6bxazkBJe8blsYZwsAAAAAQO1EIAUcUlHRe/mltZo+5YtQRc/rs2nclO7qe3ETxTqtctgsauh3y2Y1h3nGAAAAAADUTgRSgMorej9tPqixI5do/sdbQuPtOvo1YVovNT/TJ4fNIp/bpvrxLsXEmI59MQAAAAAAcFwEUqjTKip6S5bv0EP3LdT2bbmhYzfedrbuG95R8T6HrBazkuOd8sXawzhbAAAAAACiA4EU6qyKit7sV77X1LRVKj1U0fN4bRo7qZsuuayp3BUVvUS37DYqegAAAAAAVAUCKdRJeYWlyth6UOMeWaqP/7k5NH52u0Slzeips5rHy2m3yOuyKTmBih4AAAAAAFWJQAp1SkVFb8XnuzRsyAJt3ZwTOjbwlla6f0QnJfqcslpiVD/eJZ/bJpOJMAoAAAAAgKpEIIU6o6Ki9+br6zQldZWKi8skSe5Yq8akna/LfnuGYl1W2a1mNfS75bDx1wMAAAAAgOrAT9yoE/IKS7VxW5bGj1mmf32wKTTeqk2C0mb0VMsWCXLaLfI4rUpOdMkcExPG2QIAAAAAEN0IpBDVDMPQvuwirVq9S8OHLNTmTdmhYwNubKkHR3VWYpxTNkuMkuKdio+1U9EDAAAAAKCaEUghapUGgtq1P19/ffMHTRy/QsVFhyp6bqsemXC++v3uDHmc5RW9FL9bTjt/HQAAAAAAqAn8BI6olFdYqp93ZCv10eX64O8ZofGWreM1YUZPtWp5qKJ36C16FjMVPQAAAAAAagqBFKJKRUVv9Ze7NWzIAm3KyAod6z/wLA0bfa788Q7ZLGb545xK8FDRAwAAAACgphFIIWpUVPTm/m29Jjy6QkWFAUmS02XRqPFddXn/M+Vx2mSzmpWS6JLLYQ3zjAEAAAAAqJsIpBAV8gpLtXlHttLGr9C7b/8UGm/eIk5pT/ZU69aJctktcjutSkl0U9EDAAAAACCMCKRQq1VU9L78Zo+GD1mgn348GDp2xYDmGj7mXCUlOGWzmuX3OZTodVDRAwAAAAAgzAikUGtVVPT+Pm+DHh+zTAUF5RU9h9OiEePO0xXXNJfHZZPNEqOURLfcTip6AAAAAABEAgIp1Ep5haXasjNbkyas0ry//hgaP6O5T2lP9lKbsxPlcljkcpRX9KwWKnoAAAAAAEQKAinUKhUVva/X7tWwexdow/oDoWO/vepMPTzuPCUlOmW3mpXgdSjJR0UPAAAAAIBIQyCFWqOiovfeuz9p/CPLlJ9fKkmy2816eNx5uuras+RxWWWzmJWc4JLHZQvzjAEAAAAAwNEQSKFWyCss1dZdOXpi4irNeWN9aLzpGV6lzeiltu38cjssctotauh3y2oxh3G2AAAAAADgeAikENEMw9C+rEJ9u26fht+3UD98tz907LLfNdPI8V1VL9Elu82seI9d9eKcVPQAAAAAAIhwBFKIWKWBMu3KLNCH/8jQo6OWKi+3vKJns8Vo2JhzdfXAFvK6bbJZyyt6Xip6AAAAAADUCgRSiEi5BSXatjtX06Z8rjdf/SE03ripR2kzeqndOX7FOq1y2MorejYrFT0AAAAAAGoLAilElIqK3nfrMzX8voX6/tvM0LGLf9NUox4/X/WTnHLYLPK5baof71JMDBU9AAAAAABqEwIpRIyKit5HH23S2BFLlJNdIkmyWmP04CNddO2NLeV122S1mJWc4JTPbQ/zjAEAAAAAwKkgkEJEyC0o0bY9eXpy6hd67eXvQ+MNG8cqbUYvte+QpFinVXabRQ0T3bLbqOgBAAAAAFBbEUghrCoqeus27Nfw+xZq7df7Qsf6XtpEj0zoqvpJbjntFnndNiVT0QMAAAAAoNYjkELYlAbKtDMzX598slljHlqi7KxiSZLFGqMHRnTWdYNayuuyy2aNUf14l3xum0wmwigAAAAAAGo7AimERW5BibbvzdMfp6/WKy98FxpPaRir1Ok91LFTfcW6rLJbzWrod8thY6sCAAAAABAt+CkfNcowDO3NKtSPGQf08AOL9NXqPaFjF1zUSGMmdlNyvfKKnsdpVXKiS+aYmDDOGAAAAAAAVDUCKdSYkkCZdmXm67P/bNWoYenKOnioomcxacjwTrrh1tbyuu2yWWKUFOdUvMdORQ8AAAAAgChEIIUakVtQoh378vSnJ7/UX57/VoZRPl6/gUtp03urY5d68jjLK3op/vI7pAAAAAAAQHTip35Uq+Cht+ht2HhQIx5cpDWf7w4d69mnocZO6qYG9csDqFinTQ0SXbKYqegBAAAAABDNCKRQbSoqegsXbtOoYek6kFkkSTKbTRo8tINuvL2NfLE22SxmJfmcSvBS0QMAAAAAoC4gkEK1yCko0c59eZr59Fd64dlvQhW9evVdSp3WU53Pqy+Py1Ze0Ut0yeWwhnfCAAAAAACgxhBIoUoFDUP7DhYqY3OWRg5dpM9X/BI61r1XisZO7qaUBrFy2S1yO61KSXRT0QMAAAAAoI4hkEKVKSkt0679+Vqcvl0jhqZr/75CSVJMjEl3P9heg+5oK5/bJpvVrESvQ36fg4oeAAAAAAB1EIEUqkROQYl2Zebrz89+reef/lrBYHlHz1/Pqcf/0FPnnZ8sj8smmyVGDRLdinVS0QMAAAAAoK4ikMJpCRqG/jRlmnZs36fP/rNHazd3DB3r2j1Zjz3RQw0axMrtsMjlKK/oWS1U9AAAAAAAqMsIpHDKSkrL9Pabb2vmhPEKlgVkyCyXLCo0tdOd97XX7+9uK1+sXXarWQkeu5LinFT0AAAAAACAuFUFpyQnv0RvvfY3PX7nIAXLApIkk8qUpDf0wJAY3TGkvRK9DjntFjX0u1Uv3kUYBQAAAAAAJBFIoZKCQUO7DxRo3cb9+sOICUccN8nQ+mVvKS7WJrfTqmb1PfK4bDU/UQAAAAAAELGo7OGklZSWaWdmvlat3KWHHlgoe+62oyaaOzb+pHiPQ/XinYrhrigAAAAAAPA/CKRwUnLyS/TL/nzNemmtnp6+RmUBQw2ULLu2H3HuWW3aKDnBFYZZAgAAAACA2oDKHo6roqK3/ucDGnzHfD35xGqVBQxJUkLzAUc8F8pkMunBx8aFY6oAAAAAAKCWiPhAavXq1br88ssVHx8vt9utrl27as6cOSf99cuWLdOIESPUpUsXJSYmyuFwqHXr1ho9erSysrKqb+JRoLi0TFv35Grx0u265jfva/GC/94NdevdbTXznZF6ZOZsWaxWSZLVatWL77+vy/r3D9eUAQAAAABALWAyDMMI9ySOJT09Xf369ZPNZtONN94on8+n9957T5s3b9aUKVP06KOPnvAaycnJyszMVK9evdSpUyeZTCalp6fr66+/VvPmzbVixQrVq1fvpOeUk5Mjn8+n7Oxseb3e0/njRbTs/BLt3p+v2bO+01NT1ygQCEqS4uLtGjelu3pc0FBel01WS4zmv/WyAkX58vh8uuvhh8M8cwAAok9d+fwBAADqjogNpAKBgFq3bq0dO3Zo5cqV6tSpkyQpNzdX3bt314YNG/TDDz+oRYsWx73OtGnTdOutt6pBgwahMcMwdP/99+uFF17Qfffdp+eff/6k5xXtHwiDQUN7DhZo+65cjR25RAvnbwsda98pSY9P66HGjbyKdVllt5rV0O+Ww8ajyAAAqE7R/vkDAADUPRFb2Vu4cKE2bdqkm2++ORRGSZLH49H48eMVCAQ0e/bsE15n9OjRh4VRUvlzjsaPHy9JWrx4cdVOvBarqOgtX7lT11z+wWFh1KD/a6M/zbpYZzaLk9dtk89tU7NkD2EUAAAAAACotIhNE9LT0yVJl1122RHHKsZOJ0yyHnrukcUSsUtQo7LzivXLgQK9OXudZkz5QqWl5RU9r8+mx6Z0V88+jeRx2WSzxCgp3qn4WPsRDzQHAAAAAAA4GRGbxmRkZEjSUSt58fHx8vv9oXNOxauvvirp6IHXrxUXF6u4uDj0+5ycnFP+npGooqK3c3eeHh21RP/5eGvoWLsOfqVO66nGTbzyOMsreil+t5z2iN02AAAAAACgFojYyl52drYkyefzHfW41+sNnVNZ33zzjdLS0lSvXj098sgjxz136tSp8vl8oV+NGzc+pe8ZiYpLyrRlT65Wfr5LAy7/4LAw6sbbztazr16sM8/wyeuyyuOyqWmyhzAKAAAAAACctogNpKrL5s2bdcUVV6isrExz586V3+8/7vljx45VdnZ26Nf27dtraKbVxzAMZeUVa/PuHL326ne66Zp/avu2XEmSx2PT1Gcu0IMjOysxzimXw6p6cS41SnLLYq5z2wUAAAAAAFSDiL3dpeLOqGPdBVXxtpnK2Lp1q/r27at9+/bp3XffVd++fU/4NXa7XXa7vVLfJ5IFg4Z2HyzQL3vy9NjoZfrkX5tDx9q0S1Tq9F5q0tQjj8tWXtFLdMnlsIZxxgAAAAAAINpE7C0vFc+OOtpzog4ePKjMzMyjPl/qWLZs2aILL7xQu3bt0rx583TFFVdU2Vxri6JDFb0vVv+iAb/7x2Fh1PWDWum51y5R8+Y++dw2eZxWNUv2EEYBAAAAAIAqF7GBVJ8+fSRJ8+fPP+JYxVjFOSdSEUbt3LlTb7/9tvr37191E60FKip6W3Zn663X1+mGq/+pbVvKH84eG2vV5D/21tAx58of55TbYZXf51TjerFU9AAAAAAAQLUwGYZhhHsSRxMIBNSqVSvt3LlTq1atUseOHSVJubm56t69uzZs2KB169apZcuWkqTMzExlZmbK7/cf9lyo/w2jBgwYcFrzqqgKZmdny+v1nta1akJZ0NCeAwXanZmvx8cs00f/+Dl0rHWbBE2Y0UtNm3nlcVlls5jVINGtWCd3RQEAEElq2+cPAACAE4nYZ0hZLBbNmjVL/fr1U+/evXXTTTfJ6/Xqvffe0+bNmzV58uRQGCVJM2fOVFpamlJTUzVhwoTQ+IUXXqitW7eqW7duWrt2rdauXXvE9/r1+dGkqCSgXZn5+n5dpoYPWajNm/77PK5rb2ypISM6yeexy+2wyGW3KsXvltXCXVEAAAAAAKB6RWwgJUl9+/bVsmXLlJqaqnnz5qmkpERt27bVpEmTNGjQoJO6xtatWyVJq1at0qpVq456TrQFUuUVvRLtzSrQ39/eoMmPr1RRYZkkyeW2aMyEbrroN00V67TKbjUrwWNXUpxTJpMpzDMHAAAAAAB1QcRW9iJVpN8yX1HR27O/QBPGLdeH724MHWvROl5pM3qp2Rk+eV1WWa1mJSe45HXZwjhjAABwIpH++QMAAKCyIvoOKVROUUlAOzPztX79fg0fslCbMrJCx64e2EIPjOokr8euWKdVDptFDf1u2azm8E0YAAAAAADUSQRSUeDXFb33/56hieNWqLAwIElyuix6JPV8XfLbZop1WuSwWRQXa1e9OKdiYqjoAQAAAACAmkcgVcuVBYPafaBA+w4UauL4FXp/Xkbo2Fkt45Q2o5fOaB4nj8sqq6W8oudzU9EDAAAAAADhQyBVixUWB7Rrf742bDig4fctVMaPB0PHrhzQXENHd5HPW17Rsx+q6Nmp6AEAAAAAgDAjkKqFDMPQwbxi7csq1Ifvb1Tq2OUqLCiv6DkcZo0c31X9rjxDbodVTrtFXrdNyfEuKnoAAAAAACAiEEjVMmXBoHbvL1DmwUJNSVuld+ZsCB07s7lPE57speYt4uRx2mSzxqh+fHlFz2QijAIAAAAAAJGBQKoWqajoZWQc1PAhC7Vh/YHQscv7n6lhY7sozutQrMsqu9Wshn63HDb+EwMAAAAAgMhCWlEL/Lqi99E/f9bjo5cpP69UkmS3mzXisfP0m6vOkNtpk9NmlsdlU4NEl8wxMWGeOQAAAAAAwJEIpCLQrD/+UXk5OYr1evV/w4brlwMF2n+wUH+Y/Lnmvvlj6LymZ3g1cUYvndUqXh6XVTaLWUlxTsV77FT0AAAAAABAxCKQijDzP/hA08eMUWlpqSxWq2y++kpu2UsP3b9QP3y3P3RevyvO0MPjzpPPZzv0vKjyip7Tzn9SAAAAAAAQ2UgvIsj8Dz7Q4GuuCf0+UFqq1Lt/rxz7HTpQ1FqSZLOZ9dDYc/W7AWeG3qIX6yyv6FnMVPQAAAAAAEDkI5CKIM8/8cSRg4Yhe9F8Sa3VpKlHaU/2UovWCfI4rbJZzfL7HEr0OqjoAQAAAACAWoNAKoJkrFt31HGr9ujS3zbViPHnl1f0XDbZLDFK8bvldlhreJYAAAAAAACnh45XBDAMQ/tzitS4ReujHk9Maa7xf+ghf4JDPrdNsU6rmiV7CaMAAAAAAECtxB1SYRYoC+qX/QU6mFMki/9yGfpaJhn/PcFk0u2jR8nrtstuNSvB61CSj4oeAAAAAACovbhDKowKikq1ZXeuMjYd1C3Xf6R/L/Bpn26VIbMkyWyxasSzr+riq66Sy25Ro6RY1YtzEkYBAAAAAIBajTukwqCiopeZXaSFn23VoyOWKjurWJJUYm2v9hfco+YtHPL64nTxlVfJabeood8tq8Uc5pkDAAAAAACcPgKpGlZe0ctXVm6xnp6xRrNf+j50LKVhrCY+2Uut296kWKdVdptZ8bF2JcU7FcNdUQAAAAAAIEoQSNWggqJS7dpfoB07cvXwAwv19Zq9oWN9Lmqs0RPPV1ycQx6XVTaLWckJLnndtjDOGAAAAAAAoOoRSNWAX1f0Fqdv15iHFivrQHlFz2Ix6f6HO+vaQS3lsFkU67TKYbMoxe+W3UpFDwAAAAAARB8CqWoWKAtq1/585eQV609PfaVXXlgr49BL9JJT3Jo4o5fOPicxFET53DbVj3cpJoaKHgAAAAAAiE4EUtUov6hUv+wv0M5duRrx4CJ9+fme0LFeFzbS2EndFBdvl9dlk9USo/rxLsXF2sM4YwAAAAAAgOpHIFUNDMNQZnaR9ucUaemSHRozfLEO7C+SJJnNJg0Z3kkDf9+qvKLnssphNSvF75bDxn8OAAAAAAAQ/UhAqlhpoPwtejn5xZr5zNd6+fm1CgbLO3r16rs0cUYvte3ol9thldNukcdlU3KCS2YqegAAAAAAoI4gkKpC+YWl2rU/X7/sztfIoYu0euXu0LEevVM0dnJ3JSQ45HHZZLPGKCnOqfhYu0wmwigAAAAAAFB3EEhVgV9X9FYs26lHhi/W/n2FkqSYGJPuHdpBN9zeRnabWR6nVfZDFT2nneUHAAAAAAB1D4nIaSoNlL9FL6+gRH9+7hu9+KdvQhU9f5JTaTN6qX3nJLnsFjntFsU6bWqQ6JLFHBPmmQMAAAAAAIQHgdRpyCss1S/787Vnb4FGDUvXqmW7QsfO79FAj03prgS/U7Euq2wWs5LinErwUNEDAAAAAAB1G4HUKdqXVahSlenzVbs06sF07dtbXtEzmaR7Huigm+44VNFz2coreokuuRzWMM8aAAAAAAAg/AikTlFmVqH++uY6/fnpr1VWVl7RS0x0KG16L3U4r56cdotcdovcTqtSEt1U9AAAAAAAAA4hkDpFQ+9boC+WHwz9/rxuyRo/tYcS/E55nFbZrGYleh3y+xxU9AAAAAAAAH6FQOoUfbH8F0kOmUzSnUPaa9BdbeWwm+U59LyoBoluxTqp6AEAAAAAAPwvAqnTEJ9gV9r0XurUtb4cNovcDotcdqtS/G5ZLVT0AAAAAAAAjoZA6hS16+DX5D9eKn89l2KdVtmtZsV77KoX56SiBwAAAAAAcBwEUqfoD8/1UUKCu7yiZzUrOcElr8sW7mkBAAAAAABEPAKpSjKM8jfqGWVFshhFCpYGlOB1S4Ei5eQUhXl2AAAgGuXk5Ej67+cQAACA2o5AqpJyc3MlSVf27RzmmQAAgLomNzdXPp8v3NMAAAA4bSaDf2qrlGAwqF27dsnj8fCsqENycnLUuHFjbd++XV6vN9zTiTisz4mxRifGGh0f63NirNGJRfIaGYah3NxcpaSkKCaGF6cAAIDajzukKikmJkaNGjUK9zQiktfrjbgP8JGE9Tkx1ujEWKPjY31OjDU6sUhdI+6MAgAA0YR/YgMAAAAAAECNIpACAAAAAABAjSKQwmmz2+1KTU2V3W4P91QiEutzYqzRibFGx8f6nBhrdGKsEQAAQM3hoeYAAAAAAACoUdwhBQAAAAAAgBpFIAUAAAAAAIAaRSAFAAAAAACAGkUghcO89dZbGjx4sM4991zZ7XaZTCa99tprlbpGenq6TCbTMX+tWrWqeiZfA3bu3KlnnnlGl112mZo0aSKbzabk5GRde+21+vzzzyt1rWAwqJkzZ6p9+/ZyOp1KSkrS9ddfr4yMjGqafc2oqjWK5n2UlZWloUOHqnv37kpOTpbdblfDhg110UUX6d1331VlHu0XjfuoqtYnmvfQ0UyfPv2U/2zRuI/+16muT13bRwAAADXFEu4JILI89thj2rp1q/x+vxo0aKCtW7ee8rX69OmjCy+88IjxRo0ancYMw+u5557TtGnT1Lx5c1166aWqV6+eMjIy9MEHH+iDDz7Q3/72N11//fUnda17771XL7/8stq0aaMHH3xQe/bs0dtvv6358+drxYoVatOmTTX/aapHVa6RFJ37KDMzU6+++qq6deumq6++WgkJCdq7d6/++c9/6rrrrtPdd9+tv/zlLyd1rWjcR1W5PlJ07qH/tX79ej3++ONyu93Kz8+v9NdH4z76tdNdH6lu7CMAAIAaZQC/8p///MfYsmWLYRiGMXXqVEOSMXv27EpdY9GiRYYkIzU1teonGGbvvvuusWTJkiPGlyxZYlitViMhIcEoKio64XUWLlxoSDJ69+592PmfffaZYTKZjAsuuKBK512TqmqNonkfBQIBo7S09IjxnJwco02bNoYk4/vvvz/hdaJ1H1XV+kTzHvq1QCBgnHfeeUbXrl2NW265xZBkrFy58qS/Plr3UYXTXZ+6so8AAABqGpU9HOaSSy5R06ZNwz2NiDVgwAD17t37iPHevXurb9++OnDggL777rsTXufll1+WJE2ePFl2uz00fvHFF6tfv35asmSJfvrpp6qbeA2qqjWKZmazWRbLkTeoejwe9evXT5K0cePGE14nWvdRVa1PXTFt2jR9++23evXVV2U2myv99dG6jyqc7voAAACgelDZQ7XJyMjQs88+q4KCAjVt2lSXXnqp/H5/uKdVbaxWqyQd9Qfp/5Weni63262ePXsecaxfv3765JNPtHjxYrVs2bLK5xlOlVmjCnVpHxUVFWnhwoUymUwnVZGqa/uosutTIZr30Pfff6+0tDQ99thjatu27SldI5r3UVWsT4Vo3kcAAADhQCCFajNnzhzNmTMn9Hun06m0tDSNGjUqjLOqHtu2bdNnn32m5ORknXPOOcc9Nz8/X7/88ovatWt31H+tb9GihSRF1cOEpcqt0a9F8z7KysrSM888o2AwqL179+rf//63tm/frtTU1NA+OJa6sI9OZ31+LVr3UCAQ0O23366zzz5bY8aMOaVrRPM+qor1+bVo3UcAAADhQiCFKpeUlKQZM2boiiuuUJMmTZSVlaVFixZp9OjReuSRR+T1ejV48OBwT7PKlJaW6ve//72Ki4s1ffr0E1ZCsrOzJUk+n++ox71e72HnRYPKrpFUN/ZRVlaW0tLSQr+3Wq2aMWOGRowYccKvrQv76HTWR4r+PfTEE0/o22+/1eeffx66+7CyonkfVcX6SNG/jwAAAMKFQApVrm3btodVI1wulwYNGqQOHTqoS5cuSk1N1d13362YmNr/CLNgMKg77rhDS5Ys0d13363f//734Z5SxDnVNaoL+6hZs2YyDENlZWXavn275s6dq3HjxmnFihWaN29epaqN0eh01yea99C3336ryZMna+TIkercuXO4pxNxqnJ9onkfAQAAhBOfnlBj2rVrp/PPP1979uyJigcSG4ahu+++W2+99ZZuueUWvfjiiyf1dRV3IhzrjoOcnJzDzqvNTnWNjifa9pFU/hDvZs2aacyYMZo8ebLef//90IOmj6Uu7aNTWZ/jiYY9dNttt6l58+aaMGHCaV0nWvdRVa3P8UTDPgIAAAgnAinUqIoHwBYUFIR5JqcnGAzqzjvv1KuvvqqbbrpJr7322kn/67jb7VaDBg20efNmlZWVHXG84lktlXlGTiQ6nTU6kWjZR0dz2WWXSSp/0PTx1JV99L9Odn1OpLbvoW+//VY//vijHA6HTCZT6Nfrr78uSerevbtMJpM++OCD414nWvdRVa3PidT2fQQAABBOdbsPghoVCAT01VdfyWQyqUmTJuGezikLBoO66667NHv2bN1www168803K/0q8T59+mju3Llavny5LrjggsOOffrpp6FzaquqWKNjiZZ9dCy7du2SdHJvIoz2fXQ0lVmfY4mGPXTnnXcedXzJkiXKyMjQVVddpaSkJDVr1uyE14rGfVSV63Ms0bCPAAAAwsoAjmHq1KmGJGP27NlHPb5v3z5j/fr1xr59+w4bX7FihREMBg8bKy0tNYYPH25IMn7zm99U15S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+      "text/plain": [
+       "<Figure size 1200x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "d=ufloat(0.16,0.0004)\n",
+    "G=1 # in cm\n",
+    "nullpunkt=ufloat(0.5,0.0005)\n",
+    "g=np.array([ufloat(x,0.001) for x in [0.3,0.32,0.34,0.28,0.36]])-nullpunkt\n",
+    "b=np.array([ufloat(x,0.005) for x in [0.712,0.772,0.879,0.675,1.136]])-nullpunkt\n",
+    "B=np.array([ufloat(x,0.002) for x in [1.5,1.95,2.75,1.2,4.6]]) # in cm\n",
+    "Beta = B / G\n",
+    "\n",
+    "# Extract nominal values and uncertainties\n",
+    "g_nominal = np.array([val.nominal_value for val in g])\n",
+    "g_stddev = np.array([val.std_dev for val in g])\n",
+    "b_nominal = np.array([val.nominal_value for val in b])\n",
+    "b_stddev = np.array([val.std_dev for val in b])\n",
+    "Beta_nominal = np.array([val.nominal_value for val in Beta])\n",
+    "Beta_stddev = np.array([val.std_dev for val in Beta])\n",
+    "\n",
+    "# Fill XYContainer\n",
+    "xy_data = XYContainer(x_data=Beta_nominal, y_data=g_nominal)\n",
+    "xy_data.add_error(axis=\"x\", err_val=0.002)\n",
+    "xy_data.add_error(axis=\"y\", err_val=0.001)\n",
+    "xy_data.label = \"Data\"\n",
+    "\n",
+    "# Define model function\n",
+    "def Abbe(x, hx=1, f=1):\n",
+    "    return f*(1+1/x)+hx\n",
+    "\n",
+    "# Declare and perform the fit\n",
+    "fit = Fit(xy_data, model_function=Abbe)\n",
+    "results = fit.do_fit()\n",
+    "\n",
+    "# Plot the result\n",
+    "plot = Plot(fit_objects=fit)\n",
+    "plot.customize(\"model_line\", \"label\", [(0, r\"Abbe Modelfunktion\")])\n",
+    "plot.customize(\"model_line\", \"color\", [(0, \"darkblue\")])\n",
+    "plot.customize(\"model_line\", \"linestyle\", [(0, \"solid\")])\n",
+    "plot.customize(\"model_error_band\", \"label\", [(0, r\"$\\pm1\\sigma$\")])\n",
+    "plot.customize(\"model_error_band\", \"color\", [(0, \"lightsteelblue\")])\n",
+    "plot.x_label = r\"$B$\"\n",
+    "plot.y_label = r\"$g\\,(\\mathrm{m})$\"\n",
+    "plot.plot()\n",
+    "\n",
+    "# Show plot in notebook\n",
+    "plot.show()\n",
+    "\n",
+    "# Fill XYContainer\n",
+    "xy_data = XYContainer(x_data=Beta_nominal, y_data=b_nominal)\n",
+    "xy_data.add_error(axis=\"x\", err_val=0.002)\n",
+    "xy_data.add_error(axis=\"y\", err_val=0.005)\n",
+    "xy_data.label = \"Data\"\n",
+    "\n",
+    "# Define model function\n",
+    "def Abbe(x, hx=1, f=1):\n",
+    "    return f*(1+x)+hx\n",
+    "\n",
+    "# Declare and perform the fit\n",
+    "fit = Fit(xy_data, model_function=Abbe)\n",
+    "results = fit.do_fit()\n",
+    "\n",
+    "# Plot the result\n",
+    "plot = Plot(fit_objects=fit)\n",
+    "plot.customize(\"model_line\", \"label\", [(0, r\"Abbe Modelfunktion\")])\n",
+    "plot.customize(\"model_line\", \"color\", [(0, \"darkblue\")])\n",
+    "plot.customize(\"model_line\", \"linestyle\", [(0, \"solid\")])\n",
+    "plot.customize(\"model_error_band\", \"label\", [(0, r\"$\\pm1\\sigma$\")])\n",
+    "plot.customize(\"model_error_band\", \"color\", [(0, \"lightsteelblue\")])\n",
+    "plot.x_label = r\"$B$\"\n",
+    "plot.y_label = r\"$b\\,(\\mathrm{m})$\"\n",
+    "plot.plot()\n",
+    "\n",
+    "# Show plot in notebook\n",
+    "plot.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "18a59c86-8ae9-4ba2-95be-300f2c938e79",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "13.31+/-0.14\n"
+     ]
+    }
+   ],
+   "source": [
+    "f1=ufloat(13.60,0.18)\n",
+    "f2=ufloat(13.02,0.21)\n",
+    "f=(f1+f2)/2\n",
+    "\n",
+    "print(f)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "df30ae3e-51ad-476f-a7c4-a4cc010e5395",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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Sp+6TDUrhowWRKFVaCyEELDYXzDYnOvd5DU67Bb5+fggroYNWLS/CGREREREVHwxIEREREd3E5XYjMcUMo9kOi90Fs9UBuUyKy+cMGPHGVlyJy/DUHTD4CQwf9SRkMh+43QIZFgccThfUShlefGMYtGo5QgIfzRQ9IiIiorwwIEVERER0A6vdhfjkTNgcLmSaHbA7XVAppNjw3TnMmLIHDntWHp5er8CMeS0R2aYcAMDuzKoPAH5aBRQyKYL1KgT5PbopekRERER5YUCKiIiI6F+GTBsS08xwON0wmu0QApC6JZj47k5s/OWCp94TdUpg7sJIlCnr+2+KnhNmmwtymQS+agUUcilCgjTQqpiiR0RERJQbBqSIiIjokecWAtdSzTCY7LDanci0OCCT+uBqXAZGvBGF2AsGT91X+tfAyPcaQKGQ/puiZ4fD6YZGKYNaKYNOLUdIkBYyKVP0iIiIiPLCgBQRERE90uxOFxKSTbDYsgJRNocLKoUMf/xyAVPGx8BmcwEAdL5yTJvVHO06Vsxq53Ah05KVoqf3pOipEeinZIoeERER0W0wIEVERESPrAyzHVdTzXA4XDCaHXALAamQYNq4GKz//qynXvUaQfh4cWuUK+8HIQTMNicsNifkMil81XIo5FKEBmuhUfLVioiIiCg/+NZEREREjxwhBK4brEg1WrM2L7c44CORIOWqGSPf3IpzZ9I9dXu8VA1jxjeCUiWDyy2QYbbD6XJDo5JDrZDCV6NA6UANU/SIiIiICoBvTkRERPRIcbrciLueiRSDBSarAxlmO+QyH0T/FYcXn9ngCUZpNDLMmd8Kk6Y1g1Ilg93hQnqmDW4hoNcqoVXKUCpAgzLB3C/qUSSRSNCqVat81+/bty8kEgliY2Pv2ZgeBFFRUZBIJJg0adId9VOhQgVUqFAhR3lCQgJeeukllClTBj4+PvctfTY2NhYSiQR9+/YtVn0RERVnXCFFREREjwyzzYmEZBPsDheMZjucLgGZxAdzPtiL71af9tSrEh6Ajxe1RqXH/LNS9KxOWOxOKGRS6NRyKBVShAZpoWaK3kPnlVdewddff41SpUrhypUrkMke/O84OyijUqlw9epV+Pv756iTkpKC0NBQ2O12KJVKWK3W+zzKu6Nv377466+/0KtXL1SuXLnY7ueWHUx71AOURPRoe/D/hSUiIiK6DSEE0jJsuJ5ugd3pQoY5azNyw3Ur3hm6FSdPpHrqPvt8FYyb0hRqtQwutxsZZgecLje0Kvl/p+gFaiDlqqiHjtFoxA8//ACJRIJr167ht99+Q9euXYt6WHeFTCaD1WrFqlWrMGTIkBzXv/76a9jt9gc6AGe32/H333+jXbt2+Oabb4p6OIVWpkwZnDx5Enq9vqiHQkR0T/FNioiIiB5qLrdAQooJ19LMMNmcMJjskEp9sGd7Anp0/cUTjFKppJg2uzmmzWkBtVoGm8OF9Ey7J0VPo5KhZIAaZYK1DEY9pFavXg2z2YyRI0dCIpFg+fLlRT2ku6Zy5cqoWrUqvvjii1yvr1ixAk888QTKlClzn0d29yQmJsLtdqN06dJFPZQ7IpfLUa1aNYSEhBT1UIiI7im+TREREdFDy2p34VKiEQaTHRlmB8xWB2QSCRbMOoARb2yFKTNrpVTFynqs/bkLnn2hKoQQyLT8t7eUvy4rGFWupC8CfVXFNgWI7tzy5cuhUCgwZswYNGvWDBs3bsTVq1dv2SYuLg49evRAUFAQtFotWrVqhV27duVZ3+VyYcaMGXjsscegUqlQpUoVzJ49G263O9f627dvx//+9z8EBwdDqVSiSpUqGDduHMxmc4Hn17dvXxw4cABHjhzxKt+/fz+OHDmCfv365dnW6XRi3rx5qF27NtRqNfR6PSIjI/Hbb7/lWt9iseC9995DWFgYVCoVatasiaVLl95yfBcvXsSAAQNQrlw5KJVKhISEoG/fvrh06dJt59aqVSuUL18eAPDVV19BIpF47VXVqlWrPP+/m9v+Xl9++SUkEgm+/PJL/P3334iIiIBWq0VQUBD69OmDlJSU244JAGw2G7p37w6JRILx48d79oe6dOkSLl265BnnjWO91R5Sly9fRv/+/VGmTBkoFAqULVsW/fv3R1xcXK7PRCKRwOl0YsqUKahYsSKUSiWqVq2KRYsW5Wv8RET3EgNSRERE9FAymGy4dC0DZpsT6Zk2OFxuZKTa8NpLf+CbL0946nXqUgnf/dIFVasFwuVyw2Cyw2p3QquSw0+jgL9WiQql/bhf1EPu6NGj2LdvHzp16oTAwEC88sorcLlc+Oqrr/Jsk5aWhmbNmiE2NhavvfYaunfvjpiYGERGRiIqKirXNm+99Rbmzp2L9u3b44033oDT6cS7776LwYMH56j72WefeQJcnTt3xrBhw1CmTBlMmzYNbdu2hd1uL9Ac+/TpA6lUihUrVniVf/HFF1AoFHjppZdybSeEQI8ePTBixAhYrVa88cYb6NWrF44cOYLOnTtj/vz5XvXdbje6dOmCmTNnIiAgAMOHD0fjxo3x9ttv46OPPsr1Hnv27EHdunXx1VdfoX79+hg+fDiaN2+Ob7/9Fg0bNsSFCxduObe+ffti+PDhAIDatWtj4sSJmDhxYoE2ns/Nhg0b0LFjR5QuXRqDBw9G5cqVsXLlynylchqNRnTo0AE//fQT5s+fjylTpsDf3x8TJ06EXq+HXq/3jDM/Yz179iwaNGiAL774Ak8++SRGjhyJevXq4YsvvkD9+vVx7ty5XNu9+OKLWLp0Kdq1a4f+/fsjNTUVb7zxxm0DhERE95yge85gMAgAwmAwFPVQiIiIHnout1tcTTGJk5dSxT9nk0T0kQQRc/yq+PTzg8LP7xMBzBbAbKFQzhWTpu8SJ2JTxMlLqeLQ2etix9EEsetYgjh6IVmcupwq0jKswu12F/WU8sR3jLtn+PDhAoD48ccfhRBCpKenC5VKJapUqZJrfQACgHj55Ze9/jcSFRUlJBKJeOyxx4TL5fKU9+nTRwAQpUqVEvHx8Z7yjIwMUatWLQFAbN++3VN+/PhxIZPJRN26dUVKSorXvWfMmCEAiDlz5uRrbgBEeHi4EEKIjh07iuDgYGG324UQQlgsFuHv7y+6d+8uhBCifPnyQqlUerVfuXKlACBatmwpbDabpzwuLk6ULFlSyOVyceHCBU/5ihUrBADRoUMH4XQ6PeVHjhwRCoVCABATJ070lNvtdlGhQgXh6+srDh065HXv6OhoIZVKRefOnb3Ky5cvL8qXL+9VdvHiRQFA9OnTJ8czaNmypcjrV5/s7+bixYs55iCTycSOHTs85U6nU7Rq1UoAEDExMXneOzExUdSpU0coFAqxevXqHPfMbfy3m0fr1q0FALFkyRKv8iVLlggAok2bNrnOuVGjRl7/jTh16pSQyWSe/00QERUVrpAiIiKih4bd6cLlaxlIy7Aiw2xHpiUrRW/p/MMY+trfMBqzVpSUK++L1T92Ro/e1QAgK0XPYofCk6InR/lSfvDXKZmi9wiw2+345ptvEBAQgE6dOgEA9Ho9unbtirNnz2L79u25tpNKpZg2bZrX/0ZatmyJjh074ty5c7mm7g0bNgyhoaGen3U6HSZMmAAAXquxlixZAqfTifnz5yMwMNCrj3fffRclSpTA6tWrCzzXV199FcnJyfjll18AAD/88APS09Px6quv5tnmyy+/BADMmjULCoXCU162bFm8/fbbcDgc+Pbbbz3lK1euBABMmzYNUqnUU16rVi28/PLLOfr/9ddfERsbi3fffRe1a9f2uhYREYGuXbti48aNMBqNBZ7vnerVqxeaNWvm+VkqlaJPnz4AgH379uXa5vz582jatCnOnTuHX3/9FT179rzjccTFxWHLli14/PHHMXDgQK9rAwcORPXq1fH333/nmro3Y8YM+Pn5eX4ODw9Hs2bNcPr0aWRkZNzx2IiICotrz4mIiOihkGlxICHFBMe/p+i5XAKmdDvGvL0d/xxI8tRr93QFTJ3VHL5+CjhdWafoudwCOrUcKoUMfloFSgdo4OPDQBQA1K//NRITTUU9jFsqXVqL/ftzBjrya/369UhJScGgQYO8Ai6vvPIK1q5diy+++AItWrTI0a58+fIICwvLUd68eXP89ttvOHToECIiInJcy60+ABw6dMhTtnv3bgDApk2b8Ndff+VoI5fLcerUqfxN8AZdunRBcHAwvvjiC3Tv3h1ffPEFQkND0b59+zzb/PPPP1Cr1WjYsGGOa9lpZjeO/fDhw9BoNKhXr16O+s2bN8+xWXz2XE+dOuXZR+lG2ZuVnzlzBvXr18/HLO+e3OZQtmxZAEB6enqOa6dOnUKzZs3gcrmwZcsWNGjQ4K6M459//gGQFfC8OUgukUjQokULnDx5EocPH87xv8nbzcHX1/eujJGIqKAYkCIiIqIHmhACyQYrUoxW2BwuZFoc8JFIcOzgdYwZsR1pqVYAgFzug3fGNsRLfR+HRCKB1e6CyZpV11+ngFwmRakANfRaBVdF3SAx0YT4+MyiHsY9lX3y3M2rd9q3b4/SpUvju+++w/z5871WmQBAyZIlc+2vVKlSAACDwZDjWm5tSpYsCR8fH6/6qalZpz9OmzatADO5Pblcjt69e2PBggXYtWsXtm7ditGjR3utZLqZ0WjMNfAGwHOi3Y1jNxgMedbPfjY3yp7rjauscmMy3f/AqF6vz1Emk2X9CuVyuXJcO3PmDNLS0hAREYEaNWrctXFkrw7L7fkBuX8P2Qo6ByKi+4UBKSIiInpgOV1uJKSYYLI4YLY5YbE5IfWR4KslR/H5gsMQIqteSBkt5i1sjdp1S0IIgQyzHTaHC0q51LMyKjRYC6U871/KH1WlS2uLegi3dSdjjIuLw59//gkAXqlZN1uzZg1ee+01r7KkpKRc6167dg1A7oGApKQkhIeH5yhzu91e9bODX0aj8a6vYOnfvz8++eQTvPDCCxBC3DJdL3ss2XO6WXb5jcE6vV5/22dzc/9A1gbinTt3ztccCsrHJ2unEqfT6QnGZMstiFNYXbp0QcWKFTFp0iR07twZv/76KzQazR33m/2MCvI9EBEVdwxIERER0QPJbHMiIdkEu8OFDLMdDpeAJcOJ8aOisSfmqqdeqzZhmDG3Jfz9lZ4UPfcNKXp6rQKlmKKXpztJhXsQrFixAm63GxERETkCRUDW/lJff/01li9fniMgdenSJcTFxeVYDRQdHQ0AqFOnTo7+oqOjc6Tt5Va/UaNGOHjwIHbv3o22bdsWZmp5qlWrFp588kkcOHAAERERqFKlyi3r161bF1u2bMHevXtzpO1t27Ytx9hr166NrVu34uDBgznSxbLneqNGjRoBAGJiYu5ZQCogIAAAEB8fj/Lly3vK3W43Dh8+fFfvNXHiRPj4+GDChAno1KkTfvvttxxBKalUWqBTErOf7/bt2yGE8FrFKYS45f/miIiKq2K/qfm+ffvQsWNHBAQEQKvVomHDhli1alWh+3M4HKhTpw4kEgmqVauWa50KFSpAIpHk+hk0aFCh701ERER3TgiBVKMVcdcyYLE5kJ5pg8stcPpICno9s8ETjJJKJRg5pgEWLmsLvV4Bq90JQ2bWL4B6nQIapRwhQVqEBGkZjHpECSGwYsUKSCQSrFy5EsuWLcvxWblyJerWrYu9e/fi2LFjXu1dLhfGjh0Lkb0UD1kBmo0bN+Kxxx5D06ZNc9xz/vz5SEhI8PycmZmJDz74AEDWnlXZhgwZAplMhqFDh+a6UXV6erpnX6HC+Oqrr/DTTz9h6dKlt62bvYn3mDFj4HA4POXx8fGYO3cuZDIZevfu7SnPTn0cO3asV0rY0aNH8fXXX+fov2vXrihXrhzmzp2b6wbyDocDO3bsyP/kcpG991T2Bu3Z5s6di4sXL95R37kZP348pkyZgqioKHTs2DFHumFgYCCSk5NhtVrz1V+5cuUQGRmJ48ePe1JMs33xxRc4fvw4WrdunWeqJBFRcVSsV0hFRUWhffv2UCgU6NmzJ/R6PX788Uf07t0bsbGxeP/99wvc55QpU3Du3Lnb1tPr9XjrrbdylN/vjRSJiIjoPy63QGKqGRlmO8w2J8xWB6Q+Eqz+4iQWfvwP3O6swEDJUhrMXRiJJxuUhlsIZFocsDlcUClk0KpkTNEjAMDff/+N2NhYREZGomLFinnW69evH/755x8sX74c8+bN85Q/8cQTiIqKQuPGjdG6dWskJCRgzZo1kMvlWLp0qSdN7EYNGjRA7dq10aNHDyiVSvz444+IjY3FwIEDvTZOr1mzJhYtWoTBgwcjPDwcHTt2ROXKlWE0GnHhwgVs27YNffv2xWeffVaoudeoUSPfexy9/PLL+PHHH/Hzzz/jiSeeQOfOnWEymbBu3TqkpKTgo48+QqVKlTz1+/Tpg1WrVmHTpk2oW7cunn76aaSmpmL16tVo164dfv31V6/+lUolvv/+ezz99NNo2bIl2rRpg5o1awIALl++jOjoaAQFBRVqE/ds/fr1w6xZszBp0iQcOnQIlStXxv79+3Hs2DG0bNnSs9Lrbho3bhx8fHwwduxYdOzYERs3boRWm5Ve2rp1a+zfvx//+9//0Lx5cygUCkREROTYBP9GixcvRkREBAYOHIgNGzbg8ccfx4kTJ/DLL7+gRIkSWLx48V2fAxHRPSWKKYfDISpXriyUSqU4ePCgp9xoNIoaNWoImUwmzpw5U6A+Dxw4IGQymZg/f74AIMLDw3OtV758eVG+fPk7Gb4Xg8EgAAiDwXDX+iQiInrUWGxOcT4+XRyPTRF7TiSK6CPx4s+YSyKixSoBzPZ8mrVYJXYejBcnL6WKoxeSxa5jV8WOowni0Nnr4uSlVHE1xSRcbndRT+eu4DvGnenZs6cAIL7++utb1ktOThYKhUIEBwcLm80mhBACgGjZsqW4dOmSeP7550VAQIBQq9WiRYsWYseOHTn66NOnjwAgzp07J6ZPny4qVaokFAqFqFy5spg5c6ZwOp253nvv3r2iZ8+eIjQ0VMjlchEcHCzq1asn3nvvPXHy5Ml8zfNW7703K1++vFAqlTnKHQ6HmDNnjqhVq5ZQKpXC19dXtGzZUvz888+59mMymcS7774rypQpI5RKpXj88cfFkiVLxNatWwUAMXHixBxtrly5IoYPHy6qVKkilEql8PPzE9WrVxcDBgwQf//9d45x3vy+fvHiRQFA9OnTJ9cxHTx4ULRp00ZoNBrh5+cnunbtKs6ePev5bi5evOipu2LFCgFArFixIkc/uc3hVveePn26ACCaN28uMjIyhBBCZGRkiIEDB4qQkBDh4+Pj1d+t+oqNjRX9+vUTISEhQiaTiZCQENGvXz8RGxubo27Lli1FXr/u5TZnIqL7TSLEDWuMi5HNmzejffv26NevX45lqWvXrkXPnj0xZswYTJ8+PV/92e121K9fH3q9Htu3b4ePjw/Cw8Nz/UtLhQoVAACxsbF3Og0AWZtR6vV6GAwGbjRIRERUCAaTDYmpFjicLhjNdggBnDuRitHDt+FaohkA4OMjwRtv1cXrb9aGj0/WKXpmqxNSqQS+ajnkcilKB2rgp1EU8WzuHr5jEBER0YOq2KbsRUVFAQDatWuX41p2WUGW1k6aNAlnz57F4cOH83WUs81mw1dffYX4+HgEBASgadOmqF27dr7vR0RERHfOLQSS0ixIz7TBanci0+KE1Af4cdVpfDzrAFyurL+rBZdQY/YnrdC4WSjcQiDD4oD9hhQ9tVKG0CAtFEzRIyIiIioWim1A6uzZswCQ66kfAQEBCA4O9tS5nX379mHWrFmYPn06qlatmq82iYmJ6Nu3r1dZhw4d8PXXXyM4ODhffRAREVHhOZwuxCebYLE5PXtA2cwuTBu3C1v/+m+T5waNS2PO/EiULKX57xQ9IeCrUUAplyLAV4kS/mr45OMPUkRERER0fxTbU/YMBgOArM3Fc+Pn5+epcys2mw19+/ZF3bp1MXLkyHzd+9VXX0VUVBSuX78Oo9GI3bt34+mnn8amTZvQpUsX3C7L0WazwWg0en2IiIgo/zItDsQmZsBkdcBgssPucCP2TDpeee43r2DU62/WxhffPo0SJdWw2JxIz7RDIgH8dQqolTKUCdaiVICGwSgiIiKiYqbYrpC6W8aPH4+zZ8/iwIEDkErzt0x/woQJXj83atQIv/76K1q2bIkdO3Zg48aN6NSpU57tZ8yYgcmTJ9/RuImIiB5FQggkG6xIMVphc7iQaXFAAuDX78/hoxn74HC4AQD+AUrMnNcSLSLD4Hb/l6KnVsigUcmgUcoRGqyBXMYUPSIiIqLiqNiukMpeGZXXKqjsTTxv5eDBg5g7dy7Gjh2LWrVq3dF4fHx80K9fPwDAzp07b1l3zJgxMBgMnk9cXNwt6xMRERHgdLkRdz0TyQYLTFYHMsx22CxOTHp3Jz78YI8nGFX3yZL4ceMzaBEZBofTjXSTDQ6nG74aBbRqOYL0apQrpWMwioiIiKgYK7YBqey9o3LbJyotLQ3Jycm57i91oyNHjsDlcmHSpEmQSCReHwA4ffo0JBIJ/P398zWm7L2jzGbzLesplUr4+fl5fYiIiChvFpsTsYkZyDQ7YDTZYbG5EHfBiL7Pb8Sfv8d66r36Wi18tbYTSodoYbE5YTDZ4SORwF+nhEYpQ9kSOpT0V+frABMiIiIiKjrFNmWvZcuWmDFjBjZv3oyePXt6Xdu8ebOnzq1UrVoV/fv3z/Xa8uXLodfr8dxzz0Gj0eRrTHv27AEAVKhQIV/1iYiI6NaEEEjLtOF6mgV2pxsZZjuEEPjzl1h8OGUP7DYXAMDPT4HpH7VAm3bls1L0zA7YnS6olTJolDJoVHKEBmkhlxXbv7URERER0Q0k4nY7dBcRp9OJ8PBwxMfHY/fu3ahTpw4AICMjA02aNMHp06dx/Phxz6l5ycnJSE5ORnBwcL5OwZNIJAgPD8epU6e8yk+cOIHQ0NAcq6Z27NiBtm3bQgiBM2fOoFy5cvmeS3Z6ocFg4GopIiKif7ncAompZmSY7bDYnDBZHXDYXJg7dT9+/fm8p17NJ4Ixb2FrlC3nC4fTjQyLHUIAvmo5FHIpgvxUCNarHslVUXzHICIiogdVsf0zokwmw7Jly+B2u9G8eXO89tprGDVqFGrXro3jx49j0qRJnmAUACxYsADVq1fHggUL7ui+69atQ2hoKP73v/9h6NChGDVqFDp06IAWLVrA4XBgwYIFBQpGERERUU42uwuXEo0wmGwwmuwwWR1IuJyJAT03eQWjXur7OL79vjPKhOlgtnqn6KmVMoSV0KEEU/SIiIiIHjjFNmUPACIjI7Fjxw5MnDgR69atg91uR40aNTBlyhT07t37nt3z5MmTOHjwILZt2war1YpSpUqhR48eePvtt9GwYcN7cl8iIqJHhcFkR2KqGQ6nCxlmO9wCiNp0GdMmxMBqzUrR0+rkmDqrOTp0qgi3W8BodsBxQ4qeViVHCFP0iIiIiB5YxTZl72HC5fRERESAWwgkpVmQnmmD1e5EpsUJp92F+TMP4Kfv/jvEpNrjgZi3qDUqVNTD7nQh0+wAAOg0cihkUgTrVQjyezRT9G7GdwwiIiJ6UBXrFVJERET0cHA4XYhPNsFicyLT4oDN4ULiFRPGjtiOM6fSPPWefzEc709qDKVSCrPVAbPNBblMAl+1Agq5FCFBGmhV8iKcCRERERHdDQxIERER0T2VaXHgaooJdqcLGWYHXC6BHX9fwZRxMTCbslY/qdUyTJreDF2efcwrRU+jlEGtlEGnzkrRk0mZokdERET0MGBAioiIiO4JIQSSDVakGK2wOVzItDjgsLvx2dx/sPbb/065rVzFHx8vao3HqgZ4pejptQrIZVKU0KsR6Kdkih4RERHRQ4QBKSIiIrrrnC43ElJMMFkcMNucsNicuJ5oxrgR0ThxLMVTr8uzj2HitKZQq2UwWR2w2FyQy3zgq5ZDIZciNEgDDVP0ilRsohFOV/HeclQmlaBC6aLdQysuLg5hYWFFOgYiIqIHCQNSREREdFdZbE7EJ5tgd7iQYbHD4RTYvT0BH4zZhYwMOwBAqZRi3AdN0L1HVbgFYDTZ4XC5oVHJoVZIoVMrEBKkYYpeMeB0CVhsDjic7qIeSq7kMh+olUUXtDx+/DgmTJiAf/75BxcuXCiycRARET1oGJAiIiKiu0IIgbRMG66nWWB3upFhtsPhcGHZp0fwzYoTnnrlK/rh40WtUe3xoH+DVg5IAOi1SihkPijhr0aAL1P0ihOH0w2zzQWfYhYfdLsBDQC1smjuP3jwYHz++eeQyWQICQkpmkEQERE9oBiQIiIiojvmcgskppqRYbbDYnPCZHUgJcmCCaN24Mih6556HTpXxJQPI6DVyf9N0XNCIZNCp5ZDKZciNFgLtZKvJ8WRjw8Q6Ksq6mF4Sc2w3rO+//rrLzz55JMICAjIs05KSgp+//13rFq1ClFRUfdsLERERA+jYvZ3LiIiInrQ2OwuXLqWAYPJBqPJDpPVgQMxiejz3EZPMEqu8MH4KU0wd0Ek1FoZDKaswJVWJYefVgE/rQIVSvsyGEXFRtu2bXH48OFb1lm3bh3atWt3n0ZERET0cGFAioiIiArNYLIj9loGzFYHDJk2WGxOrFh4FG+9vgWGdBsAoGyYL1b/+D/0euVx2J1upGfa4RYCeq0SGpUMJQPUKBOshZT7RdFD7Nq1axg1ahQqV64MqVQKiUTi9ZHJZMjMzCzqYRIREd03/DMkERERFZhbCCSlWZCeaYPV7kSmxYm0FAsmv7sTB/Zd89Rr0748ps9uDl8/BUwWByz2f1P0NP+m6AUxRY8efjExMejSpQsqV66MN954A7/99hu2bNmCatWqYeTIkQAAX19f6HS6Ih4pERHR/cM3QCIiIioQh9OF+GTTv3tFOWG1O3F4XxImvLsDqSlZe/rIZBKMHNMQffrXgNstYDDZ4XS5oVXJoVbK4KuRo3SgBtLitks2PXKEEDCZTLles1gsOVYtqVQqyGT5f4VOSkpC165d0alTJ6xYsQISiQTDhw9H9+7d8fPPP6Ny5cqIjIy8ozkQERE9iPgWSERERPmWaXEgNjEDJqsDBpMdZosD3yw9jqED/vIEo0qHaLFyXSf0HVAzK0XPlJWi56/LStErFaBBaJCWwSgqFi5dugRfX98cHwDo2LFjjvJvvvmmQP3PnDkTLpcLH3/8sefkSKlUipkzZwIA/vjjj7s7ISIiogcEV0gRERHRbQkhkGywIsVohd3hQobFgfQUK6a8vwt7dl311GveqixmzmsJ/wAlMi0OWO1OKOVSaP89Ra9MsBYqBV8/qPgICQlBdHR0jvLmzZtj/vz5qFu3rld51apVC9T/qlWr0KFDB/j7++e4LwAolcqCDZiIiOghwTdCIiIiuiWny42EFBNMFgfMNicsNieO/ZOM8aOikXzdAgDw8ZFg+KgnMWDwExAiZ4qen0aBUoEaSH0kRTwbIm9KpRIRERG5XqtVq1ae1/IjOTkZiYmJqFChQo5rMTExALJO8yMiInoUMSBFREREebLYnIhPNv27KsoOm92NdStPYfHH/8DtFgCAEiU1mPNpKzRsHAKb3YVMqwM+Egn8dUrIZT4oFaCBXqvwpCsRPSq0Wi18fHxw/Phxr3Kr1YrRo0ejZcuWdxTwIiIiepAxIEVEREQ5CCGQlmnD9TQL7E43Msx2GNJtmD4uBju2xXvqNW4WitmftEJQsMorRU+nlkOpkCE0SAuVQlp0EyEqJKlUesdBVLVajTZt2uCXX37BxIkT0aFDB8THx2PmzJlISUnBzz//fJdGS0RE9OBhQIqIiIi8uNwCialmZJjt/56k58CpYykYP2oHEhOyTiOTSIAhw+ti8LA6EADSM+1wuQV0ajlUChn0WgVKBWjgwxS9h4bbDaRmWIt6GF7c7rvRhxtGozFHeXJyMgAgPT3dq1yj0UChUOS7/+XLl+Pll1/GBx98gA8++AAqlQrPPfccfvnlF88+UkRERI8iiRBCFPUgHnZGoxF6vR4GgwF+fn5FPRwiIqI82ewuxCdnwupwIdPsgM3hxE9rzuLT2QfgdGa9MgQGqTDrk1Zo1rwMrHYnTFYnfCQS+GrkkMukKB2ghl7HjZrvh/vxjnEu3gCLzQGH8y5Ef+4BucwHaqUcj5XRF6p9bGwsKlasmO/6K1asQN++fQt8n5SUFKSkpCAsLAxqtbrA7YmIiB42XCFFREREAACDyY7EVDMcTldWip7BjlmT9mDrn5c9dZ5sWApzF0SiREkNMsx22BwuT4qeSiFDaLAWSjlT9B4mMqkEaqUc6mIcY5RJC78SL69T9vJS0FP2sgUFBSEoKKhQbYmIiB5GDEgRERE94txCICnNgvRMG6x2JzItTpw9mYoJo6JxJS7TU2/gkCcwbOSTgCQrRc/NFL1HQoXSD/fq7ludskdERET3DgNSREREjzCH04X4ZBMsNqdnU/IN35/HxzP3w2HPStHS+yvx4dwWaNk6DDaHCyaLEz4+Euh1CihkUpQKzDpFj4iIiIgovxiQIiIiekRlWhy4mmKC3elChtkBo8GOj6buxeaNsZ46teuWwNyFrVE6VItMiwM2hwsqhQxalQwqhQxlgrVQMEWPiIiIiAqIASkiIqJHjBACyQYrUoxW2BwuZFocOH86HRNGReNS7H+njfXpXwMj3msAH6kEhkw73ELAV62AUiGFv06JkgFq+EiYokdEREREBceAFBER0SPE6XIjIcUEk8UBs80Js9WBP365iDlT98FmcwEAfP0UmDa7OZ5qXx5WuwsZmQ5IpRL4axSQy6UoHaiBn4YpekRERERUeAxIERERPSLMNicSkk2wO7JO0TNmODD/w/34df15T53HawZh3qLWKFvON0eKnlopQ2gQU/SIiIiI6M4xIEVERPSQE0IgLcOG6+kWz35RsRcMmDBqB86fTffU6/lSNbw3vhGkcp//UvQ0CijlUgT4KlHCnyl6RERERHR3MCBFRET0EHO5BRJTTcgwO2CxOWGyOvDXxljMmrwXFosTAKDRyvHBh83Q8X+V/k3Rs0MmlcBfq4BcJkVIoAa+TNEjIiIioruIASkiIqKHlNXuQkJyJqwOFzLNDmRk2rBwzj/4ad1ZT52q1QLw8aLWKF9RjwyLA/abUvTKBGshlzFFj4iIiIjuLgakiIiIHkIGkw2JqRY4nC4YzXZcjjVi0js7cPpkmqdO9x5VMXZyE8jkPkg32SAEPCl6gf+m6EmYokdERERE9wADUkRERA8RtxBISrMgPdMGq92JTIsT2/66jBkTdsOU6QAAqFRSTJzWDF27Pwar3QWDKStFz1crh0ImRUiQFjq1vIhnQkREREQPMwakiIiIHhJ2pwsJySZYbE5kWhzIMNmxZN4hrPv2tKdOpcp6zFvcGo9VCUCG2QG70wW1UgaNUgaNSo7QIC3kMp8inAURERERPQoYkCIiInoIZFocSEgxweFwwWh24MrlDEwavQMnjqZ46nTuWhmTZjSDQin1pOj5aRRQyKUI9FOhhF7FFD0iIiIiui8YkCIiInqACSGQbLAixWiFzeFCpsWBnVFXMHVsDDKMdgCAQinF2EmN8VzPqrA63Dek6CmgkPkwRY+IiIiI7juuySciInpAOV1uxF3PRLLBApPVgTSDFYvm/oPRQ7d5glHlyvti9Y+d8VzPcGRYnDBbHVArpdBrFdCp5ahQ2o/BKKIHjNFoLOoh3HVutxtTp05F2bJlERAQgLfeegsOh6Ooh0VERPcQA1JEREQPILPNidjEDGSaHTCa7Ii9ZMTwAX9j1YoTnjrtO1bA978+gyrVApGeaYPT5YafRgGtSo5gvRrlSuq4XxTRTdq0aYPy5cvD7XZ7lbvdbmRmZsJqtd6yfX7rFdaiRYvw+++/39U+7/WY82P8+PGYMGECevfujbp16+KHH36AzWYrsvEQEdG9x7dQIiKiB4gQAqlGK+KuZcBicyA904ad2+MxoMfvOPLPdQCAXO6DsZMaY+7CSEgVPjCY7JD6SOCvU0KjkiOspA4l/NXcL4roJiaTCdu3b0dKSgqOHTvmdW3YsGHw9fWFVqvFtWvX8uwjv/UKY9SoUZDJZOjRo8dd7fdejjk/4uPjMXv2bCxatAgjRoyAr68vdu7cCZ1Od9/HQkRE9w8DUkRERA8Il9uNhGQTrqWZYbI5kWKwYumCwxg5eCvS07JWEoSW1eGb7zujV5/Hs1L0bA5olFL4aRXw1chRobQvtCqm6BHlZu/evQgLC0OLFi2wa9cur2vjxo1DdHQ03G43LBZLnn3kt15BLVmyBHFxcXjttdfuWp/Z7tWY8+vbb78FAPTu3RulSpXCsGHD8MEHH9z3cRAR0f3FTc2JiIgeAFa7E/HJpqyNy80OJFzNxNQxu3Bg73+rGSKfKofpH7WARidDemZWgMpPq4BCJkWwXoUgP56iR3QrMTExaNq0KcLDwxETE4NBgwZ5rpUuXRqlS5e+bR/5rVcQ169fx6hRo7B///672m+2ezHmgvjjjz9Qr149+Pr6AshKmxwzZgw2btyIjh07Ftm4iIjo3uIKKSIiomLOkGnDpWsZsNicSM+0YfeuBAzo8bsnGCWVSvDO+w2xYGkbKFQ+MJockEr/TdFTylGupA7BeqboEd3Orl270LRpUzRp0iTHCqkbRUdHo02bNtBqtShRogQmT54MIUSh6hmNRrz55psoVaoU9Ho9mjVrhs2bN3vVWbx4McqUKYPw8PA8x9S4cWOo1WokJycDyNoXqnv37tDr9fjkk0/g5+eHlStX3vYZ/Pnnn2jQoAFUKhUqVarkWb0EAN988w0kEgkkEglkMhmOHz+OgwcPQiqVesq///77294j24gRIyCRSLBlyxbs2bMHEokETZs2BQB07twZ06dPz3dfRET04GFAioiIqJhyuwWupphwNdUMi82JFIMFX352FG+/tgUpyVmbD5cqrcHKtZ3Qd2BNZFgcMNucWSl6mv9S9DRM0SPKl927d6Np06Zo3LgxLl68iOvXr+dab8iQIYiMjMS6deswePBgTJs2DfPmzStwPbvdjnbt2mH79u2YNWsWVq9ejTZt2qBLly7YsmWLp9769etRu3btW459+PDhsFqtWLJkCYCs/aZ+++03/PzzzyhRogQyMjIQFxd322cwcuRIPP/881i/fj1eeeUV9O/fH6mpqQCALl26ICoqCq+++ioiIyMRHh6OWrVq4amnnsLrr7+OqKgotG/f/rb3yNaiRQsMGTIEADBo0CDMmzfPk6pXp04d7Ny5M19jJiKiBxNT9oiIiIohu8OF+GQTrHYnMi0OJCaaMG1sDPbsuuqp06xFGcz6uCV0eoUnRU/vSdFTI9BPyVVRRPl0+vRp2O121KpVC1KpFLVq1UJMTAy6dOmSo+7KlSvRrVs3AECnTp1QqVIljBo1Cq+//jq0Wm2+6y1atAgmkwm7d+/2tOvYsSN0Oh1mzJiB1q1bw+Fw4OjRo2jVqtUtx//888/j3XffxaJFi6BWq/HJJ59gzZo1nnbNmzdH2bJlb/scPv30U/Tp0wcA0KFDB3z++ec4ffo0mjRpAj8/P7Rs2RKNGzdGREQE/vrrL8jlcqSkpGDDhg1QKBS37f9GzzzzDM6fPw8AmDx5MkqWLOm5lj3WmJgYhIWFFahfIiJ6MHCFFBERUTGTYbYj9loGzFYH0jPt2LcnEf17bvIEo3x8JBg2sh6WfNkOSq0MRpMdUqkP/HVKqJVyhJXyRZCe+0URFURMTAzq168Ph8MBq9WKRo0aISYmJte6devW9fq5T58+kEqlOHz4cIHq/fjjjzh58iSCgoKgUqk8n3HjxuHs2bMAgJSUFDidTq9AV25kMhmGDBmChIQEjBw5Ep988gmef/55z/WwsLB8/TchIiLC62eFQgGbzeZVplQqsXbtWrz11lsYMmQIVq1aVeBgVLbt27ejWrVqXsEoAJ4T9i5dulSofomIqPjjCikiIqJiQgiB6wYrUo1W2BwuGE12rPnqJJZ8cgguV9a+M8El1JgzvxXqNw5BptkOh8sNjUoOtUIKnVqBkCANZFL+vYmooHbt2oWtW7dCrVZ7ylq0aJGvthKJBOXLl8fly5c9eyDlp15iYiKWLFmCZs2a5ajr5+cHALnuTZWXgIAAAED16tXx5ptv5rvdjaRSab7qVapUCU2bNkV6ejqqVq1aqHsJIbBjxw6vwFk2mSzr1xSHw1GovomIqPgr9m+s+/btQ8eOHREQEACtVouGDRti1apVhe7P4XCgTp06kEgkqFat2n27LxER0a04XW7EJWUixWCByeJA/NUMvD98GxbN/ccTjGrYOAQ/bnwGdRuUQnqmDS63gF6rhFYpQ6kADcqW0DIYRVRIMTExmD9/PmJiYhATE4Off/4Z+/fvh9PpzFH35hVDbrcbFy5cQIkSJQpULzQ0FNeuXUO1atW8PuHh4XC5XACAoKAgSKVSmEymW45/06ZNGDp0KMLDw3Hy5Ens3r27wM+gILZu3YqUlBQoFAp89913herj6NGjSE1NzTXwZ7FYAGTNn4iIHk7F+q01KioKERERiI6OxnPPPYfBgwcjOTkZvXv3LvSpG1OmTMG5c+fu+32JiIjyYrY6EJuYgQyLAwaTHfv3X0P/HpuwIyoeACCRAIOG1sHyb9tD4yeH0WyH/N8UPY1ShnKlfBHoxxQ9osIyGo04ceIEXnjhBTRu3BiNGzdGly5doFQqc6ThAcDq1au9fl6wYAGEEDlWR92u3osvvojZs2fjyJEjXvXWrVuHp59+GkBWylzNmjWRkJCQ5/j37t2L5557DkOGDMEvv/wCiUSCjz76yKtOdoDrbkhJScGwYcOwePFiLF68GBMnTvTsBVWQe27fvh1A7ivRkpKSAAA1a9a8CyMmIqLiqNim7DmdTgwYMAASiQTbt2/35OBPnDgRTZo0wcSJE/H888+jSpUq+e7z4MGDmDFjBubOnYthw4bdt/sSERHlRgiB1AwbktMtsDldyDDZ8f2q01jw0T9wOtwAgIBAFWZ93BJNmociw+yA0+WGViWHSiGFr0aBkEANpFwVRVRoaWlp+Prrr+Hn54fr16+jVKlSAIALFy6gbNmyWL16NUJCQhAaGuppM3v2bFgsFjRu3BhbtmzBokWLsHTpUq90v/zUGzBgANavX48GDRpg8ODBaNq0Ka5fv47x48dj4cKFnn66dOmCH374IdfxnzlzBp06dUKbNm0wb948+Pj4oFOnTvjpp59w8eJFVKxYERs3bkS3bt3QokUL/P777550uGwJCQk4c+YMgKyTBt1uN/R6PY4ePQqr1YpDhw6hZMmSKFGiBI4fP445c+agTZs2nmfSr18/9OjRA3PmzEHlypURFhaGDh06YPv27VizZk2uG8MDwLZt21CpUqVcN1vP3lurUaNGt/z+iIjoASaKqT/++EMAEP369ctxbc2aNQKAGDNmTL77s9lsolatWiIiIkK43W4BQISHh9/z+wohhMFgEACEwWAoUDsiInp4OV0uEZeUIU7EpogDp5PE7zsvish2awUw2/OpV3+l2Lo7Thw+d13sOJogdh5LEEfOJ4tTl1NFisEi3G53UU+DihjfMe7cp59+KgDkeDfs1q2bp3z48OGe8lKlSonNmzeLiIgIoVQqRaVKlcSyZcty9JvfejabTUyaNElUqFBBqFQqUbduXfHDDz941bly5YpQKpXi0qVLXuUJCQmiQoUK4sknnxQmk8lTvmXLFgFADB06VAghxA8//CAUCoUAIPbv359jDMOHD/fMFYDo2rWrmD17tldZ7dq1xfTp0z0/KxQKkZKSIoQQokSJEp7y/v37CyGEaN26tQAgOnXqlOezL1WqlOjbt2+u17p16ybGjRuXZ1siInrwSYQowE6J99H777+PGTNmYPXq1ejZs6fXtbS0NAQGBqJp06bYuXNnvvubN28eDh8+jKpVq0IikSA8PBynTp26p/cFspaB6/V6GAwGzwaVRET06LLanYhPNsHmcCHT7MDRI9cx8Z0diI/L9NR59fVaGD7qSThcbljsTihkUug0cijlUoQGaaFWFttFznQf8R3j0TF79mzEx8fj448/LnQfvXr1wkcffYSQkJC7N7BbuH79OqZMmYL58+cXqN358+fx9NNP4+DBg57T9oiI6OFTbNf4Zx91m1tqXEBAAIKDgz11bmffvn2YNWsWJk+efNtTQO7mfYmIiG6WnmnDpWsZMFudSMuw4rvVpzDklc2eYJRer8Ci5W0x4r36MNudsNid0Krk8NMqoNcqUKG0L4NRRI+gUaNG4fz584iOji5U+127duGxxx67b8Eot9uNWbNmYdSoUQVqZ7fbMXToUHz33XcMRhERPeSK7RutwWAAAOj1+lyv+/n54cqVK7ftx2azoW/fvqhbty5Gjhx5X+5rs9m8TlUxGo23vS8RET3c3G6Ba2lmGEx2WO1OJCWbMWfKPvy5MdZTp1btYMxb2BrBpTVIz7RDIgH0WiUUch+U9NfAX6fgxuVEjyiJRIJ169Zh7Nix0Ol0nn1O88NiseD48eOYPHnyPRyht61bt6J///4oV65cvtvYbDaMHj0aM2bMQO3ate/h6IiIqDgotgGpu2X8+PE4e/YsDhw4AKlUel/uOWPGjPv6Dz4RERVvdocL8ckmWO1OZFocOHE8BRPf2YFLF//7g8XL/R7HyDEN4HALZJjtUMil0KmzUvTKBGuhUjz0/2QT0W2o1WrMnTsXBw4cKHC7gQMH3qNR5a5NmzYFbhMfH49JkybB39//7g+IiIiKnWL7dpu9Qil7xdLNsvdMuJWDBw9i7ty5GD9+PGrVqnXf7jtmzBiMGDHCq01YWFi+7k9ERA+XDLMdV1PNcDhcMJod+PWnc5g7bR+s1qzj0LU6OabNao6nOpRHhuW/U/TUShn8NAqUCtRA6sNVUUT0nyeffLKoh3BPVKpUqaiHQERE91Gx3UMqew+n3PZrSktLQ3Jycq77PN3oyJEjcLlcmDRpEiQSidcHAE6fPg2JROL1V5i7cV+lUgk/Pz+vDxERPVqEEEhKMyM+2QSLzYnEZDOmjYvB9PG7PcGo6o8H4offnkGrduWQbrJDCAF/nRIalQylAjQICWIwioiIiIgeTsV2hVTLli0xY8YMbN68Ocdpd5s3b/bUuZWqVauif//+uV5bvnw59Ho9nnvuOWg0mrt6XyIierQ5nG4kpJhgtjpgsjpx+nQKJo7aifNn0z11XugVjvcmNIILWauolHIptGo5VHIpQpmiR0REREQPOYkQQhT1IHLjdDoRHh6O+Ph47N69G3Xq1AEAZGRkoEmTJjh9+jSOHz/uOTUvOTkZycnJCA4ORnBw8G37l0gkCA8Px6lTp+7ovvnBI5mJiB4dJqsDCckm2J1uZJjt+P2XC5g9ZS8sZicAQKORYdL0ZujYpZInRU+nlkOlYIoeFRzfMYiIiOhBVWxT9mQyGZYtWwa3243mzZvjtddew6hRo1C7dm0cP34ckyZN8goKLViwANWrV8eCBQvu632JiIiArBS9FIMVcUmZsNiduJZixszJe/DBmF2eYNRjVf2x7peuaNup4r8peoC/Tgm1Uo7SgUzRIyIiIqJHR7HOB4iMjMSOHTswceJErFu3Dna7HTVq1MCUKVPQu3fvh+6+RET0YHK53LiaakaG2Q6LzYmz59IwYdROnDmZ6qnzzHNVMO6DxhA+EmRaslL0dGo5lAoZygRpoVTcn5NgiYiIiIiKg2K7Qipbw4YN8fvvvyM9PR1msxn79u3LNSg0adIkCCEwadKkfPUrhMiRrleY+xIR0aPNYnMi9loGjCY7jGYHfv/tIvr32OQJRimVUkyb3RxTZkXA7haw2l3QqeXw1Sjgr1OiQilfBqOIHmJutxuZmZmwWq1FPZQic/bsWXTr1s2ztcbgwYORmZl519rFxMTg6aefRokSJVCiRAn06tULV69ezVHvyy+/RK1ataBUKhEaGoqhQ4ciPT0dAOByuVChQoUcByFlf7p163bHz+FO53knbW9VrzBznzdvXo56L7/88p09CCJ65BTbPaQeJtzfgYjo4SOEQHqmHUnpZtgdbqQaLVj40T/47pvTnjoVKunx8aLWKF9ZD5PVAR+JBL4aOeQyKUoHqKHXKYtwBvQw4DtG8ffmm29i4cKF8PHxQUJCAkqVKlXUQ7qvzp07h0aNGiEoKAgDBw5Eeno65s+fj7p162LLli2QyXJP2Mhvuy1btqB9+/aoU6cOevXqBYPBgM8//xxBQUHYt28fVCoVAGDatGkYN24cunfvjmbNmuHEiRNYsWIFateujZiYGGRkZOCnn37KMY4zZ85g9uzZ+Oqrr/DKK68Um+dTkLa3q2cwGAo0d4fDgUqVKqFUqVIYNGiQp7xNmzaoWLHiXXw6RPTQE3TPGQwGAUAYDIaiHgoREd0FLpdbxCdnipOXUsXBM0niu01nxOO1vhDAbM+nY5cfxL5jiWLvyUQRfSRe7D2ZKE7EpogLCQZhtTuLegr0kOA7RvF39epVER0dLQCIixcvFvVw7rsOHTqIkJAQkZKS4inbtGmTACA+++yzO27XvXt3UbZsWWGxWDxlhw8fFgDEH3/8IYQQ4tKlS0Imk4kxY8Z43WPt2rUCgFi0aFGe4xgzZoxQKpUiPT0933P+888/RWpqar7qFvb5FKRtYe+R19yXL18uAIioqKh8zZGIKC/FPmWPiIioOLE5XLh0LQOGTBsyzHZs/iMW/Xv8jhNHUwAAcoUPJkxtig/ntYADAnaH2ytFr3wpXyjlTNEjelSULl0aERERRT2MIhEXF4dNmzZhwIABCAwM9JS3b98e9erVw5IlS+64nRACOp3OsxIKAPR6PQDAZrMBADZu3Ain04k333zT6z4vvPACatSoge+//z7POaxduxYdOnTw9Jkfbdu2xeHDh29br7DPpyBt7+Qeuc3d7XZj1qxZeOKJJ9CwYcPbzpGI6FaK9abmRERExYnRbEdiihl2pwtpBhs+m38Iq1ac8FwvG+aLeYsi8Vi1ABjNWSl6ep0CCpkUpQI10GsVRTh6Iipqf/75Jz7//HMcPXoUoaGhXgfmfPPNN549eKRSKQ4fPgybzYYGDRrA7XYDAL777js899xzt71PfvdUzfbWW2/B39+/QG3yY/fu3QCALl265Lj23HPP4f3334fRaMyRblqQdr1790b37t0xefJkjB07FqmpqXjxxRdRunRptG7dGgCQmpq1p59arc7RX3h4OPbv35/r+Pfs2YMLFy5g6tSpBZh1/hX2+RSkbWHvkdfcN23ahNOns1LTAwICEBkZiVmzZqFWrVr5mTIRkRcGpIiIiG5DCIGkdAvSMmyw2V24GGvApNE7cPjgdU+dp9qXx9RZEfBR+CDT4oBKIYNWJYNKIUNosJaroogII0eOxLhx4zBlyhTs3r0b/fv3x9NPP43AwEB06dIFUVFRWLlyJS5fvozw8HAIIfDUU0+hYsWKePHFF1GvXr183Wfy5MkFGlffvn3vSUDqypUrAIBy5crluFahQgUAwIULF1CnTp1Ct3v22WcxdepUTJgwAStXrkRaWhpCQ0Px999/Q6vVAgCqVKkCANiwYYPXXkgWiwV79+5FUlJSruNfs2YN1Gp1rsGcu6Gwz6cgbQt7j7zm3q5dO1y+fBkJCQnYsWMHFi5ciHr16uGTTz7BkCFD8pwrEVFuGJAiIiK6BYfTjYRkE8w2B0xWJ7ZHxWHKmF1IT8tKBZHJJBj1fkP06lMdmRYnnA43fNUKKBVS+OuUKOmvho+PpIhnQUTFwaeffoo+ffoAADp06IDPP/8cp0+fRpMmTeDn54eWLVuicePGiIiIwF9//QW5XI6UlBRs2LABCkX+V1iKYnJmkcViAZC1kuZmwcHBAJDriXAFbffqq69izZo1OHbsGICslLmyZct6rnfp0gXh4eF48803YTQa8dRTTyExMRGTJ0/GlStXULp06Rz3cbvd+O6779C5c2dPYOtmQgiYTKY8537z3FQqldcm5YV9PgVpW5h73GruMpkMYWFhCAsLQ6NGjTBkyBB069YNw4YNQ2RkJKpXr57reImIcsOAFBERUR5MFgcSUkywO91Iz7Bi2cKj+Orzo8j+XS8kVIu5CyJRrVYQjCYHfHwk8NcpIJdLUTpAAz+m6BHRDW7eS0qhUHj2OcqmVCqxdu1adOzYEUKIAgej7pXLly/DbDbnq26VKlUglUpRsmRJAIDBYPAEP7JlB0p8fX1ztC9Iu0uXLqFZs2aoXbs21q9fj23btuHdd99F27ZtsXXrVmg0GiiVSmzevBkvvfQShg4d6umrbt260Ol0qFatWo4xREdHIz4+Hj169MhznpcuXcrzVLmOHTvmKFuxYgX69u1bqHneLL9tC3OP/Mw9m1qtxpdffomyZcti7dq1BU4XJaJHGwNSRERENxFCIMVoRbLBCrvDhUtxRkx+bycO7LnmqdMisixmzG0BuUrqlaKnVsoQGqSFgil6RHQTqTR//12oVKkSmjZtivT0dFStWrXA97kXe0i98sor2LZtW776u379OoKDgz2rlC5evJgjGHLu3DkA8FrJlK0g7YYNGwZfX1+sX78ecrkclStXRsOGDVGvXj0sXLgQ77zzDoCslLXt27fj9OnTuHz5MsLCwmC1WlG3bl106NAhxxjWrFkDnU6Xa2ApW0hICKKjo3OUN2/eHPPnz0fdunW9ym/+Lgv7fArS9urVqwW+R37mfqPSpUsjMDDQcy8iovxiQIqIiOgGTpcbV1PMyLTYYbY5sWtHPCaP3oWU5Ky/JEulEgx/50n0GVATJqsTdqcbvhoFlPJ/U/QC1PCRMEWPiApv69atSElJgVqtxnfffYfnn3++QO3vxR5SUVFRBeoTyFoRplKpsGnTJjRo0MDr2ubNmxEeHo6goKA7ardlyxa89tprkMvlnjo1a9bEE088gW3btnkCUtnCw8MRHh4OAOjatSvUajX69evnVcfpdOL777/3XM+LUqnM8wTFWrVq3fZ0xcI+n4K0Leg98jv3GyUmJuL69esoU6ZMvuoTEWXzKeoBEBERFRcWmxOXEjOQYbYjPdOGJQsO462BWzzBqBIlNVix6mm89GoNZJgdkEgAf60ia1VUsBalAzUMRhHRHUlJScGwYcOwePFiLF68GBMnTsT58+cL1IcQokCf7M2t7zadTodOnTphyZIlnpPugKzg1ubNm9G/f39PWVxcXKHa+fn5Ye/evV77ZiUnJ+PChQs5VgTd6OOPP8Yvv/yCcePGedLasv31119ITk7OV8ranSjIPIHCPaOC3uN2cz969KjXzy6XC2+//TakUil69uxZwCdARI88QfecwWAQAITBYCjqoRARUS7cbrdIMVrEqcup4sj5ZPHb9guicbNvBDDb82kS8a3Yvv+K2HsyUUQfiRf7Tl0TJ2JTxMWrBmGzO4t6CvSI4jtG8RcfHy+2bt0qAIjVq1eL8+fPi+TkZLF161ZRqlQpMW/ePHH8+HGRlJQktm7dKjp16iSGDx/uaT9r1izx5JNPiq1bt4rLly8X3UQK6cSJE0Kr1YqqVauK2bNni9GjRwuNRiMaNGggLBaLEEKI6dOne55PQdoJIcSCBQsEANGyZUsxZ84cMW3aNFGpUiWhUqnEP//8k2M8KSkpYtiwYQKA6N+/v3C73Tnq9OnTR+j1emGz2Qo1Z6lUKqKiovJVN7/zvJNnlN96t5t7QkKCUKvVolmzZmLu3LliypQpon79+gKAmDdvXgGfEhFR1l9F6B7jyyIRUfHldLlF/PVMcfJSqjh4JkksWnlIlCy90BOIkkhmizdH/C0OnU0Su45dFTuOJohD566Lk5dSRWKqSbhy+WWG6H7hO0bxN3z4cAHA8+natauYPXu2V1nt2rU9AQcAQqFQiJSUFCGEECVKlPCU9+/fv4hnUzgHDhwQbdu2FTqdTpQpU0YMHjxYpKene64vW7ZM+Pr6is2bNxeoXbaff/5ZNG3aVPj5+YmSJUuKTp06iUOHDnnVGTNmjIiMjBQqlUoEBgaKhQsX5jpWq9Uq9Hq96Nu3723n5XK5RFpaWr4/eQW48jPPO31G+amXn7lv3LhRtGjRQuh0Ok9wasOGDbd9VkREuZEIUUzOhX2IGY1G6PV6GAwG+Pn5FfVwiIjoXza7C/EpJljtTmSY7fh6+XF89skhuJxZ/zQGBasw65NWqNugFExWJ2RSCXw1cshlUoQEauCrKfqTr+jRxncMovx56aWXEBYWhvr166N9+/bQ6XR33GdsbGyep+zl5uZT9oiIHnXc1JyIiB5JBpMdialmOJwuxF/NwLRxuxG99Yrnev1GpTH7k1bQ6OUwWb1P0SsTrIVcxlP0iIgeFN98881d7zOvU/byUpgTE4mIHmYMSBER0SPFLQSS0ixIz7TBandi//5rmDAqGlfjTZ46r71RG4OG1YHF4YTjhlP0An2VKOGvhoQblxMRPfJudcoeERHdHgNSRET0yHA4XYhPNsFiy0rRW/PNKSyYfRAOhxsAoPdX4sN5LdCoWeh/KXpaORQyKUozRY+IiIiI6K5hQIqIiB4JmRYHrqaYYHe6kJhkwrTxu7F182XP9dp1S2DOp5HwC1LCZHVArZBBo5JBo5IjNEgLucynCEdPRERERPRwYUCKiIgeakIIJBusSDFaYXO48M+hJIwfEY0rlzM8dfoOqImhI+vB6nLB4XTDT6OAQi5FoJ8KJfQqpugREREREd1lDEgREdFDy+lyIyHFBJPFAZPVgXWrTuOTD/fDbs9K0fP1U2Da7OaIiCx7Q4qeAgqZD0KCtNCp5UU8AyIiIiKihxMDUkRE9FAyWx1ISDHD7nAh8boJMz/Yg82/xnqu16gVjI8WtEJACXVWip5SBo2SKXpERERERPcD37aJiOihIoRAqtGKuKRMWGwO/HM4Cf17/u4VjOr1SnV8tbYjfIOUcLiyUvS0KjmC9WqUK6ljMIqI7im3240PP/wQZcuWRUBAAN566y04HI6iHlaBxcXF3dV6RET0aOEbNxERPTRcbjfik024lmaGyebE2jWnMeDF3xF7wQgA0Gjl+OjTVhg5riEsThd8JBL465RQK2UoW0KHEv5q7hdFRPfc+PHj8cEHH6B3795o0qQJfvjhB9hstvt2/7Nnz6Jbt24IDg5GcHAwBg8ejMzMzHy3P378OLp3746WLVveUb0vv/wStWrVglKpRGhoKIYOHYr09PRb9nnu3Dno9XpERUXle7yFcSfPKD9t89v/gQMH8NRTT0GtViMwMBC9evVCfHx8jnorV65EnTp1oNVq8dhjj2HOnDkQQhRu8kRE9wlT9oiI6KFgtTsRn2yCzeFCcqoFs6fuxa8/nvdcr1otAPMWtkZQiAZmpugRURGJj4/H7NmzMX/+fAwaNAhCCMTFxUGn092X+587dw6NGzdGUFAQRo8ejfT0dMyfPx/Hjx/Hli1bIJPd+teDwYMH4/PPP4dMJkNISEih602bNg3jxo1D9+7d8eqrr+LEiRNYvHgxdu3ahZiYGCgUihxtrFYrnn/+eRiNxoJPvADu5Bnlp21++z9y5AiaN2+O6tWrY+rUqbh27RoWL16MmJgYHDp0CHq9HgAwb948jBgxAp06dUK/fv2wf/9+vPPOO3C5XBg9evQ9fVZERHdE0D1nMBgEAGEwGIp6KEREDx232y3SMqzi1OVUceR8slj96ylRuepSAcz2fLr3+FnsPZ4odh5LEDuOJojD566Lk5dSRVKaWbjd7qKeAlGh8R3jwTNz5kwhl8uF0Wgskvt36NBBhISEiJSUFE/Zpk2bBADx2Wef3bb9888/L/744w/Rp08fUb58+ULVu3TpkpDJZGLMmDFe5WvXrhUAxKJFi3Ltc+DAgQKAACC2bt1627He6M8//xSpqan5qnsnzyg/bfPbf7169UTDhg2F3W73lG3ZskUAEHPmzBFCCJGSkiK0Wq0YMGCA1zgiIyNFnTp18jVfIqKiwj8HExHRA8vtFkhMNSMx1Qyz1YkffziD/i/8jvNn0gEAarUMMz5qjvenNIHN5Yb0hhS9sJJM0SOi+++PP/5AvXr14Ovre9/vHRcXh02bNmHAgAEIDAz0lLdv3x716tXDkiVLbtvHunXr0K5duzuqt3HjRjidTrz55pte5S+88AJq1KiB77//Pkebb775BkuXLsXAgQNve+/ctG3bFocPH75tvTt5Rvlpm9/+4+LicPjwYYwZMwZy+X8nvkZGRsLf3x9nzpwBAAQEBGD37t2YNWuWp44QAkajESVKlMjHkyEiKjpM2SMiogeS3eFCfLIJVrsTqQYr5s7Yhx/XnPVcr/yYP+YujESpMJ1Xip5WLUdIIFP0iOj+GjFiBObNm+f5WSKRoEmTJti1a1eebSZNmlSge7z11lvw9/fP8/ru3bsBAF26dMlx7bnnnsP7778Po9EIPz+/At23oFJTUwEAarU6x7Xw8HDs37/fq+zkyZMYNGgQBg0ahB49emDp0qX3bGx38ozy03bLli356j8sLAxpaWlQKpVedUwmE6xWqycNUiKRoGbNmgCyNss/ePAgZs+ejRMnTnjuRURUXDEgRUREDxyj2Y7EVDMcDhdOnUnD2BHbcfpEquf6/7pVxtjJjeGSAC6XG35aBRQyKYL1KgT5qbgqiojuuxYtWsBms2HRokUYNGgQwsPDPYGEvEyePLlA9+jbt+8tA1JXrlwBAJQrVy7HtQoVKgAALly4gDp16hTovgVVpUoVAMCGDRvwyiuveMotFgv27t2LpKQkT5nJZMJzzz2HatWq4eOPP0ZMTMw9HdudPKP8tM0OxuWn/9xW0X344YdwuVzo2bNnjmsDBw7EF198AQDo1asXnnjiiRx1iIiKEwakiIjogSGEwPV0C1IzbLA5XPj9twuYNi4GmRlZx6UrlFKMm9wYHZ+pDIvdBblUAl+1Agq5FCFBGmhV8tvcgYjo3njmmWdw/nzWQQuTJ09GyZIlb9tG3OVT0iwWC4CsNK+bBQcHA0CBTtsrrC5duiA8PBxvvvkmjEYjnnrqKSQmJmLy5Mm4cuUKSpcu7ak7ePBgXL16FQcPHsyxWig3QgiYTKZcr1kslhzzU6lUXpuU38kzyk/bjIyMQvf/119/YcaMGRg3bhyqVauW43r37t3RokULfP/991i1ahWSk5OxadMm/hGGiIot5isQEdEDweF043JSJlKMVqQbbZjxwW6MGb7dE4wqV8EPq37sjHZdKsFid0KjlMJPo4BOI0eF0r4MRhFRkdu+fTuqVauWr2DUvZB9X4PBkONadjDlfuxtpVQqsXnzZtSpUwdDhw5F9erVERkZCYPBAJ1O5wm2LFu2DF9//TVmzZoFlUqFxMREzwqj1NRUJCYm5gg+Xbp0Cb6+vjk+ANCxY8cc5d98841X+zt5Rvlpm30yXkH7P3PmDF544QW0aNEC48ePz/X+HTt2RJ8+fbBhwwaMHTsWmzdvxubNm3OtS0RUHHCFFBERFXsmqwMJySbYnW6cO5+GcSOjcexwsud6h04VMX5aE0AqYYoeERVLQgjs2LEDzz//fL7b3O09pMqWLQsAuHjxomc1TrZz58551bnXypUrh+3bt+P06dO4fPkywsLCYLVaUbduXXTo0AEAPMGi3DYy7969OwAgJiYGjRs39pSHhIQgOjo6R/3mzZtj/vz5qFu3rld51apVvX6+k2eUn7bZ5QXpPzU1FZ07d4afnx/Wrl0LqVSa6/1vNHz4cEybNg2HDh1C+/btb1ufiKgoMCBFRETFlhACKUYrkg1W2B0ubN4ci6nvx8CQbgMAyOU+eHdcQ3TrUQUWu9srRS80SAMNV0URUTFx9OhRpKamokWLFvluc7f3kIqIiIBKpcKmTZvQoEEDr2ubN29GeHg4goKCCnTPOxUeHo7w8HAAQNeuXaFWq9GvXz8AwKxZszwrorIdOXIEo0ePxsyZM1G/fn2vYBSQtfoqIiIi13vVqlUrz2vZ7uQZ5adt165dC9S/0+nE888/j/j4eOzcuTPfJ+eZzWYAyBH0IiIqTpiyR0RExZLT5caV6yZcT7fAmGnD7Bl78c6QKE8wqkxZHb7+rhP+93wVWOwuT4qe778pegxGEVFxsn37dgAoUEBKCFGgT/am2HnR6XTo1KkTlixZ4hXoiYqKwubNm9G/f3+v+nFxcfmf4B36+OOP8csvv2DcuHGe1LeGDRuiQ4cOXp+GDRt6rrVu3fquj+NOnlF+2ha0/2HDhmHLli344osv8txsfseOHTnKpk6dCoVC4VltRkRUHHGFFBERFTsWmxMJySbYHC5cuJSOcSN34PCB/05dat22HCbPbAYfuQ9cLjf0WgXkMilK6NUI9FMyRY+Iip1t27ahUqVK9y0lLi9TpkxBgwYN0KRJEwwcOBDJycn49NNPUb9+fQwdOtRTb8aMGXj//fexevXqXE90u1tSU1MxefJkzJ8/H/3798eYMWPuyX2kUmm+/224k2eUn7b57X/x4sVYvHgx6tati4yMDCxbtsxrPn379sXevXvRvHlztGvXDp06dUJGRgY2bNiAPXv2YN68eShTpszdeHxERPcEA1JERFRsCCGQnmlHUroZdocbW7dcxqTRO5GWagUASKUSjHivPl54uRqsdjekTNEjogdEdHQ0nn766aIeBqpXr47t27fjvffew+TJk6HX69GnTx/MmDEDKpXKU69kyZLw9fW9Zyl877//Pnbv3o2YmBhoNBosXLgQQ4YMueN+3W43jEZjjvLk5Kx9B9PT073KNRoNFAqFV9mdPKP8tM1PncOHD2PYsGEAgH/++SfHPlodOnRAv3790KhRI3z55ZdYsGABRo8eDalUirp162L9+vXo2rVrIZ8iEdH9IRF3+zxZysFoNEKv18NgMMDPz6+oh0NEVCy53ALXUs0wmu3INNux+NNDWLH4KLL/lSodosWcT1vhsccD4HC6oVHKoVZKoVMrEBKkgUzKLHR69PAdgx5UL730EsLCwlC/fn20b98eOp3urvQbGxuLihUr5rv+ihUr0Ldv37tybyIiKhiukCIioiJns7sQn2KC1e7E5StGTHhnB/bFJHquN29ZFlPmRECuksLlEtBnn6Lnr0agL1P0iIgeNNkn6N1teZ2yl5ebT9kjIqL7hwEpIiIqUgaTHYmpZjicLmzfHoeJ7+5EcpIFAODjI8HQkfXQ+9XHYXO4IZX6wFctz0rRC9ZCo+Q/Y0RE9J9bnbJHRETFC9/kiYioSLiFQFKaBemZNpitDixdfARLPz0MlysrRy+4hBqz5rfC408EweZwQaOSQ61gih4RERER0cOAASkiIrrv7E4XEpJNsNicuJKQiQmjd2B3dILneqMmIZg+tzmUOjlcbgG9VgmFzIcpekREREREDwkGpIiI6L7KMNtxNdUMh8OFmN0JGDsiGkmJZgCARAIMGloHfQfVhN3phuzfFD3lvyl6aqboERERERE9FPhmT0RE94UQAtcNVqQarbDanVix9BgWzj0IlzMrRS8gUIUP57VE7folYHe6PSl6vhoFQgI1kDJFj4iIiIjoocGAFBER3XNOlxsJySaYrA5cu27GxPd2YPvfVzzXn2xQCjPmtYBGr/BK0Svhr0YAU/SIiIiIiB46DEgREdE9ZbY6kJBihs3hwv79V/H+29FIuJLpud7/9VoYOLQ2HG435FIf6JiiR0RERET00GP+AxER3RNCCKQYrbiclAmT1Y4vlx/FwF5/eIJRer0CC5Y9hQHDsoJRWpUcvho5/LQKVCjty2AUEdFdtn//fjRu3BjBwcGIiIjA0aNHi3pIRET0CCv2Aal9+/ahY8eOCAgIgFarRcOGDbFq1ap8t4+KikKvXr1QvXp1+Pv7Q6PRIDw8HK+++ipOnz6da5sKFSpAIpHk+hk0aNDdmhoR0UPL5XIjPtmEpDQzriebMfLNKMyZug8OhxsA8ESdEljzSxfUaVQK7n9T9DQqGUoFaFAmWMv9ooiI7rLk5GR0794dc+fOxfXr1/HMM8+gW7duRT0sIiJ6hBXrPz9HRUWhffv2UCgU6NmzJ/R6PX788Uf07t0bsbGxeP/992/bx19//YUdO3agUaNGnr5OnjyJlStXYtWqVfj9998RGRmZo51er8dbb72Vo7x+/fp3Y2pERA8ti82JhBQTbHYXDh1OwnvDtyHuUobn+sv9HseQEXXhFOK/FD2FFKFBTNEjIrpXjhw5gpdeeglNmzYFALz++ut45513kJSUhJIlS96Te167dg1OpxNlypS5J/0/rK5cuYKjR4/Cx8cH7du3L+rh3DNxcXEICwsr6mEQUVESxZTD4RCVK1cWSqVSHDx40FNuNBpFjRo1hEwmE2fOnLltPxaLJdfyv/76SwAQ9evXz3GtfPnyonz58oUe+80MBoMAIAwGw13rk4iouHG73SLVaBWnLqeKI+eTxftTooVCOVcAswUwW+h8PxbzFh0QMceviugj8eLgmSRx8lKqiEvKEE6nq6iHT/RA4jsGFdZvv/0mQkJChNPpzHHN7XaLsLAw8dlnnxW6/7i4OCGVSsWKFSu8ytPT08WLL74o/Pz8xGOPPSamTZsmbDZboe+TlzNnzohnnnlGBAUFiaCgIDFo0CCRkZGRr7Zz584VALw+L730Up71z549K/z8/MTWrVs9ZU6nU5QvXz5HP9mfZ555xqsPt9stVqxYIcLDwz113nvvvRz3yu27+eqrr0Tt2rWFRqMRlStXFrNnzxZutztfcy2sO3m+x44dE88++6yoWLFinnV27dolOnToIIKDg0VwcLB48cUXRUJCQo56+/fvF23atBEqlUoEBASIF198UVy5ciVHvYJ+p0R0fxTbP0Vv2bIF58+fR79+/VC3bl1Pua+vL8aPH4+ePXtixYoVmD59+i37UalUuZa3adMGAQEBOHfu3F0dNxHRo8jtFkhMM8NosiM1zYIpE2Kw6ZeLnuvVawRh9vyW8C+phlv8e4qe/N9T9HQ8RY+I6H5KSkrCkCFD8Mknn0Aqlea4vnPnTly9ehXdu3cv9D2cTidcLleO8jFjxmD9+vUYM2YMkpOTsWjRIrz99tuFvk9uzp07h8aNGyMoKAijR49Geno65s+fj+PHj2PLli2QyfL+FcjhcGDu3Ll48sknvbbqaNOmTa71rVYrnn/+eRiNRq/y9PR0jBs3Lkf9M2fOYPbs2V7pkiaTCS+//DL++OMPDBo0CCtWrMDjjz8OPz+/HO1v/m7mzZuHESNGoFOnTujXrx/279+Pd955By6XC6NHj771gyqkO3m+gwcPxueffw6ZTIaQkJBc62zZsgXt27dHnTp18P7778NgMODzzz9Hu3btsG/fPs/vd0eOHEHz5s1RvXp1TJ06FdeuXcPixYsRExODQ4cOQa/XAyj4d0pE91FRR8TyMmbMGAFArF69Ose11NRUAUA0bdq00P3v2rVLABARERE5rpUvX16ULl1afPnll2LatGli0aJF4tChQ4W+F/96SUQPM6vdKS4kGMSJ2BSx9tfTomLlzz2rooDZokfvDWLn4QQRfSRe7DmRKI5fTBHn4tOF2eoo6qETPfD4jvFgOnDggGjatKmQy+UCgPj666/v272tVqto0qSJePvtt/Os88Ybb4h27drd0X0uXrwoAORYIRUWFiZef/11z88u191fIduhQwcREhIiUlJSPGWbNm0SAG676mv58uUCgIiKisrXvQYOHOhZcXPjCqm8jBkzRiiVSpGeni6EyFrx9Mwzz4hy5cqJkydP3rb9jd9NSkqK0Gq1YsCAAV51IiMjRZ06dfI1/sK4k+f7/PPPiz/++EP06dMnz4yU7t27i7Jly3pluhw+fFgAEH/88YenrF69eqJhw4bCbrd7yrZs2SIAiDlz5njKCvqdEtH9U2xXSJ09exYAUKVKlRzXAgICEBwc7KmTH1FRUYiKioLNZsPZs2fx66+/Ijg4GPPmzcu1fmJiIvr27etV1qFDB3z99dcIDg6+5b1sNhtsNpvn55v/YkJE9LAwmuxITDXD7nThh+/OYOakPbBYnAAAjUaGidObokXbcnC6sk7RUytl8FXLUTpIA6kPNy4nokdPYmIiWrdujQEDBmDRokVQKpUIDQ29b/fv378/9Ho9Zs+enet1t9uN77//HjNmzLgn979y5QpKly7t+dnnLv9bEBcXh02bNmH8+PEIDAz0lLdv3x716tXDkiVL8Prrr+fa1u12Y9asWXjiiSfQsGHD297rm2++wdKlSzFw4EAsXbo0X+Nbu3YtOnTo4Fm98/333+OPP/7A8ePHUbFixVu2vfm7CQgIwO7du7326BJCwGg0okSJEvkaT0HdyfMFgHXr1gHALQ+pEkJAp9N5ZbpkP6/s37Hi4uJw+PBhfP/995DL5Z56kZGR8Pf3x5kzZwAU/Dslovur2P42YDAYAPz3H5+b+fn5eerkR1RUFCZPnowPP/wQP/zwA8LCwrBp06ZcNyl/9dVXERUVhevXr8NoNGL37t14+umnsWnTJnTp0gVCiFvea8aMGdDr9Z4PN+sjooeNWwhcSzUjIcWEdKMVY9+NxqTROz3BqMeq+uPbnzqjWZswT4qeRiVDyQA1QoO1DEYR0SNrxYoVKFu2LObMmYPatWujWrVquaZmnTp1Cj/++GO++927dy8qVKiAkSNHepVv3boVdevWxYYNGzB9+nQcOHAAa9asyTVVL7t+WlqaJ6Vs3Lhx6Nu3LxYuXIg6depAq9Widu3a2LJli1e7qKgoREREQKPRoGLFipg7d67X9b59+0IikUAIgcmTJ0MikaBVq1ZedYQQyMzMzPfH6XTmGP/u3bsBAF26dMlx7bnnnsM///yT5x+LN23ahNOnT+PIkSMICAjA008/jaNHj+Za9+TJkxg0aBAGDRqEXr165VrnZnv27MGFCxfQo0cPT9mcOXPQuHFjDB48GMHBwfD19UXnzp1x5MiRHO1v/m4kEglq1qyJgIAAuN1u7N+/Hz179sSJEyfwwQcf5Ghf1M83v3r37o1Tp05h8uTJcDqdSEpKwosvvojSpUujdevWAICwsDCkpaWhY8eOXm1NJhOsVqsnHbAg3ykRFYGiXJ51K23bthUAxNmzZ3O9XqlSJaFQKArcb2Zmpti7d6/o3LmzUCqV4ttvv81XO5fLJSIiIgQA8euvv96yrtVqFQaDwfOJi4vjcnoiemjYHU5x8WpWit6Pf5wVVaot80rRe+a59WLHP/H/pejFMkWP6F5hyt6Dp3///qJ79+75qtutWzexf//+fNX99NNPhVqtFgDE0aNHhRBZaXPBwcHilVdeEb///ruQSCRCo9F4NqIOCgoSu3bt8upnwIABonPnzp6fW7ZsKeRyudBqteLtt98Ws2fPFmXLlhU6nc7zv7uff/5ZyGQyUbt2bfHhhx+K9957T2i1Wq+UvejoaLFixQoBQHTt2lWsWLFC/P777173zk7zy+/n5nRAIf7bvPratWs5rq1atUoAEP/880+uz9DhcIjLly+L3bt3izlz5oiKFSsKmUwmFi5c6FUvMzNTPP744+LJJ58UVqtVbN26NV8pe2+99ZZQq9UiMzNTCCHEtWvXhEQiEQBEkyZNxOzZs8XYsWNFyZIlhUajEXv37vVqf/N3c6NXX33V81x69eolTCZTjjpF/XxvdKuUPSGEmDp1qvDx8RGVKlUSAQEBokaNGuL48eO37XfcuHFCLpd70h/z+50SUdEotil72Suj8loFZTQa81w9dStarRYNGjTATz/9hPr16+O1115D27Ztb7us1cfHB/369cOOHTuwc+dOdOrUKc+6SqUSSqWywGMjIiruMi0OXE0xwe504eefzmHa+BiYTVl/QVWppBj7QRM81amCd4qeRo7SgUzRIyICgDJlymDHjh1wu923TVdbsmQJ2rZti+XLl+PJJ5+8Zd0333wTUqkUQ4YMwd69e1GxYkV07doVlStXxueffw6lUgm3233LPhwOB3788UfMnz/fq1wikSA6Otpz0FBISAheeuklnDp1CjVq1ED//v3RsmVLbNy4EQqFAgDQunVrtGvXztNHREQEIiIi0K9fP9SpUyfH1hjZ/UZHR99yjDeqWrVqjjKLxQIgK53tZtnbbmRmZuban0wmQ1hYGMLCwtCoUSMMGTIE3bp1w7BhwxAZGYnq1asDyNqY++rVqzh48GC+3/ndbje+++47dO7cGVqtFgBw6NAhCCHQpUsXrF+/3nPAx5AhQ1CzZk0MHz4cu3btApD3d5Ote/fuaNGiBb7//nusWrUKycnJ2LRpk9ehIUX9fAvi1VdfxZo1a3Ds2DEAQNu2bVG2bNlbtvnrr78wY8YMjBs3DtWqVQOQ/++UiIpGsQ1IZe8ddfbs2Rz/AKelpSE5ORlNmzYtdP8ymQyRkZE4fPgw9u/fj6effvq2bbL/I2s2mwt9XyKiB5EQAskGK1KMVphMdnw4bS++//a053rFynrMmt8KIeV0XqfolfTXwF+n4Cl6RET/6t+/P+bPn48+ffrgzTffvO0fWGvUqIEWLVrgs88+w8svv3zLui+88AKGDBmClJQU9O3bF8nJydi3b1++gyZ//vknzGZzjnSsxo0be516nb1nkdlsxqZNm5CcnIwPP/zQE4wCct8H9naUSiUiIiIK3O5GJUuWBJD1R+2b933NDqb4+vrmqy+1Wo0vv/wSZcuWxdq1azFp0iQsW7YMX3/9NZYuXQqVSoXExESkpqYCAFJTU5GYmAhfX19P0ClbdHQ04uPjvdL1kpOTAQCjRo3y+ncyNDQU/fv3x0cffYSMjAz4+vrm+d1ky05d69OnD8aNG4dp06Zh8+bNaN++vadOcXu+ebl06RKaNWuG2rVrY/369di2bRveffddtG3bFlu3boVGo8nR5syZM3jhhRfQokULjB8/Ps++c/tOiajoFNuAVMuWLTFjxgxs3rwZPXv29Lq2efNmT507kZCQAAC3PJr0Rnv27AEAVKhQ4Y7uS0T0IHG63EhIMcFkceDc+XSMHr4NJ4+leK536lIJ705oBB+FBHKpD3QaOZRyKcoEa6FSFNt/ZoiIikS5cuWwZ88ejBo1Cu3atcv3fjv9+/eHXC7P8V58o6CgIMhkMixZsgTx8fHYtm1bgTZMX7NmDTp16pQjoHCrPypkHzJUo0aNfN8nL263u0D7D2k0Gq8gGADPKpqLFy/mCJicO3fOq05+lC5dGoGBgbh69SqArI3MAWDgwIE56nbv3h0AEBMTg8aNG3tdW7NmDXQ6ndeeR9mBFbVanaOvihUrevZ88vX1zfO7yc3w4cMxbdo0HDp0yCsgVRyfb26GDRsGX19frF+/HnK5HJUrV0bDhg1Rr149LFy4EO+8845X/dTUVHTu3Bl+fn5Yu3ZtnvujZbv5OyWiolNs8yfatGmDSpUqYdWqVTh06JCnPCMjA1OmTIFMJvNa6pucnIxTp055/tKQbfv27bluQr5582b89NNP0Ov1XiutTpw4gfT09Bz1d+zYgblz50KpVOLZZ5+94/kRET0IzFYHYhMzkGl24LdfL6B3t189wSi5wgcTpjXB2OlN4KOQQKuSw0+rgF6rRIXSvgxGERHloWrVqvjll19gMBgghLjlp0+fPmjQoAGOHTt2y2AUkPU+7HQ6cf78eXz++ecFOlXMZrPh559/9lrBkx86nQ4AcO3aNa9yl8tVoH4A4PLlywgICMj3J7eT2iIiIqBSqbBp06Yc1zZv3ozw8HAEBQXle0yJiYm4fv26Z1XYrFmz8Pvvv3t9Zs6cCQCYOXMm/v777xzBKKfTie+//x5du3b1Cj5lp5Xt378/x30vXboErVaLEiVKFPi7yc7muDlgVByfb262bNmCjh07ep2eV7NmTTzxxBPYtm2bV12n04nnn38e8fHxWL9+fb5OF7z5OyWiolNsf1uQyWRYtmwZ2rdvj+bNm+PFF1+En58ffvzxR1y8eBFTp071ymtesGABJk+ejIkTJ3otvezSpQuCg4PRoEEDhIWFwWKx4MiRI9i+fTvkcjmWLVvmtaR23bp1mDVrFtq0aYMKFSpAqVTi2LFj2Lx5M3x8fPDZZ5+hXLly9/NREBHdd0IIpGXYcD3dApPFgY9m7sOqFSc918PK+WLW/FYIq+wHATBFj4joHvjll1/gdDoRHR2dr7S748ePAwAGDBhw2/S+m23cuBEul+uW+6TmpkWLFgCy3sXnzJnjKV+0aBEA3PZ06hvdjT2OdDodOnXqhCVLluCNN95AYGAggKxTADdv3uwJHgFAXFyc12nYR48eRa1atTw/u1wuvP3225BKpZ5gYG5BPpVK5bl288mBQNbeRsnJyTkCStWqVcPjjz+O2bNno3fv3p7VT9euXcPy5cvx7LPPQiaTYcOGDXl+Nzt27MiRhjd16lQoFAp06NDBq7yon29++fn5Ye/evRBCeN4nkpOTceHCBdSsWdOr7rBhw7BlyxasWbMGderUydFXfr5TIio6xTYgBQCRkZHYsWMHJk6ciHXr1sFut6NGjRqYMmUKevfuna8+Jk+ejE2bNmHHjh24fv06JBIJwsLCMGDAALz11ls5lhdHRkbi5MmTOHjwILZt2war1YpSpUqhR48eePvttwv0lyYiogeRy+3G1RQzMsx2xF42YvTwbTj6z3XP9bYdymPslCaQKn0gl/lAp2aKHhHR3Xbu3Dn8+uuvWLly5W03PweAlJQU9OvXDwAKtU/QmjVr0KVLl1z357mVJ554Aj179sRHH32EuLg4NGvWDDt37sS6desAAFarNd993Y09jgBgypQpaNCgAZo0aYKBAwciOTkZn376KerXr4+hQ4cCAGbMmIH3338fq1evRs+ePXH16lU0atQI9erVQ/fu3WEymfDzzz9j//79mDdvXq7Bmfxas2YN9Hq9V/pctkWLFqFDhw5o0KAB+vXrB4fDgc8//xwKhQIffvihp31u382ePXvQvHlztGvXDp06dUJGRgY2bNiAPXv2YN68eTlWABXl8y2I999/H2+++SYiIyPxv//9DzabDcuXL4fFYsFbb73lqbd48WIsXrwYdevWRUZGBpYtW+a5JpVK0aFDh3v2nRLRXVIEJ/s9cngkMxE9KCw2hzgXny6OX0wRn3x+UOgD5gtgtgBmC5lsjhg9YZvYdSxBRB+JFwfPJImTl1LFleuZwulyF/XQiR5JfMd4eDmdTuFwOPJdt02bNiIwMFAAEBs2bCjQvTIzM4VGoxHr16/Pca1ly5aiZcuWXmVbt24VAMTWrVuFEEJYrVYxcuRIUapUKaFQKESjRo3EunXrRLly5cQvv/zi1RaAmDhxYoHGVxgHDhwQbdu2FTqdTpQpU0YMHjxYpKene64vW7ZM+Pr6is2bN3vKNm7cKFq0aCF0Op1Qq9WiWbNm+XqWNz+PG1mtVqHX60Xfvn3zbL9nzx7RoUMHERAQIHx9fcWzzz4rLly4IIS49XcjhBBffvmlqF+/vlCpVEKr1YqIiIg8695NhXm+N+rTp48oX758nv3//PPPomnTpsLPz0+ULFlSdOrUSRw6dMhz/dChQ0ImkwkAuX46dOgghCj8d0pE94dEiAKso6VCMRqN0Ov1MBgM8PPzK+rhEBHlIISAwWTHtTQzLFYnPv7oAFZ+fgzZ/0KElNFi1ietUDHcHxIJ4KdRQC5jih5RUeM7BgHAW2+9heXLl+Pbb79F165d8dVXX+GVV14p6mERERHdUrHd1JyIiO4Pt1vgaqoZialmXI7LQP/em/DVkv+CUa3ahOHrHzqjQlU95DIf+OuUUCtlKF/KFwG+SgajiIiK0MqVK/Hpp59i1apVnnSs33//vYhHRUREdHvc7IOI6BFmc7iQkGyC1e5EVFQcxo2MRmpK1n4fUqkEw0c9ie4vhcMtBLQqOdRKGfw0CpQK1EDqw0AUEVFR2rdvH15//XVMnToV//vf/yCEQGhoKNasWYOqVati1KhRno2yiYiIihuukCIiekQZTXZcSsxAhtmOjz86gDdf/csTjCpZSoNl33bAsy+FAxLAX6eERiVDqQANQoIYjCIiKmrXrl3Ds88+i86dO2PMmDEAAIlEgokTJ0IikSA2NhZqtbqIR0lERJQ37iF1H3B/ByIqTtxC4HqaBWmZNiQmmjD67W3Yu+uq53rT5qGY+GEzaHzlUMil0KnlUMmlCOUpekTFDt8xHl12ux1msxk6nQ4ymfd/m1NTUxEQEMCUaiIiKtb4mwUR0SPE4XQhPtkEi82JXbsSMOatbbieZAEASCTAG2/VRc9+1SEApugRERVjCoUCCoUi12uBgYH3eTREREQFx4AUEdEjItPiwNUUE2wOJ5YsOoLF8/6By5W1SDYoWIXpc1ugRt0SkEgAPU/RIyIiIiKie4gBKSKih5wQAskGK1KMVly/bsaYUduxMyrec71Bo9L4YHYEdP5ZQSim6BERERER0b12V37TiI+PR0xMDC5dugSHw4GgoCDUrFkTjRo1go8P900nIioqTpcbCSkmmCwO7N2XiPeGb0Nigslz/bU3nsDLr9UEJEzRIyIiIiL6f3v3HR9Ftb9x/NneNx1CxwYICCKC0kEF7L0htivYEBVBUBEEpIsV9SpeFNtF5KdYryJXIXQUu4IgIjWUkN432ez8/ojZS6QlIaTxeb9e+0fmzJ45Mwyw++R8z6DqHFUgtXDhQk2ePFmrVq3S39dGN5lMiomJ0ZAhQzRq1Ci53e6jGigAoHxy8wu1KyVXgYKgXpv9i2Y+8b2CwZAkKTLKoUlP9tDpnevLZJL8f5Xo1Y9yK8JDiR4AAACAY6tCgVR+fr7uvfde/fzzz7r44os1atQoNW7cOPyUj7y8PCUlJem3337Tl19+qTPOOEPvvfee2rZtW9njBwD8jWEYSs0KKDk9TylpeRozcoWW/Hd7uP30M+pp4lM9FBnjoEQPAAAAQLUwGX+f2nQEOTk5uvHGG3XfffepT58+ZXrP5s2bdd9992natGk67bTTKjTQ2oxHMgOoKkVFIe1OzVVWboF+/HGfRt23RDu3Z4fbbxncRoOHtpfMlOgBdQGfMVAe3377rYYOHao//vhDrVq10ksvvXRcfjYHANQM5V7g6amnntKsWbPKHEZJ0kknnaQPP/xQr732mjIzM8t7SABAGeQFgtq6N0sZ2QG9+fo63Xrtf8JhlN9v1zMvnaPb7z9dZqtJkV6H3E6r6ke51SCGMAoA6rrk5GRdddVVevrpp7Vv3z5dfvnluuKKK6p7WACA41i5Zkjl5OQoPT1djRo1qtDBCgoKlJiYqBNOOKFC76+t+O0lgGPJMAylZxcoKT1X6ekBPfbICi36z9Zwe9t2sZr0dA/F1HPJbrNQogfUIXzGQFktXrxYX331lSZPnixJysrKkt/v1969e1WvXr1qGVNhYaE2bNhw1LO0KtpPenq61q1bp27duh3V8QEAFVOuGVIej6fCYZQk2e324y6MAoBjKRQytDs1V3vTcvXLL/t03WUflwqjbrjlVL34Rl/F1HPJ47TJ77Yr0uNQs3g/YRQAHEfOOeeccBglScuXL1eDBg0UExNTbWO65JJLdO+991ZZP7179y710I6OHTvq0UcfPWR7TbNp0yZdccUVio2NVWxsrO6++25lZ2cf8X2vv/66TjvtNDkcDjVs2FD33nuv0tPTK9z/6tWrdcEFFyguLk5xcXG64YYbtHv37so4RQDHmUr5NpKUlKQ1a9Yc9B82Sbr55psr4zAAgP0ECouUmJyjQEFQ897ZoOkTvlYgv0iS5PHaNG5KN3Xt04in6AEASklKStKQIUP03HPPyWKxVNs48vPzq7SfE044QcnJyeGfi4qKDtsuSatWrVLr1q0VGRl51OM8Gn/88YfOPvtsxcTE6KGHHlJ6erpmzpypdevWafHixbJaD/61bvLkyRozZoyuuuoq3XbbbVq/fr1eeuklrVq1SqtXr5bdbi9X/4sXL1b//v11+umna/To0crIyNArr7yifv36ae3atXI6nVV2TQDUfkcdSH3xxRe65pprlJOTo4NV/5lMJgIpAKhkmTkF2pOaq4ysgB4fs0qffrA53Nby1GhNeaan6jV08xQ9AKiBvv/+e917771au3atCgsL9dZbb+nGG2+skmMHAgFdfvnluvLKK3XNNddUyTFrijlz5pSr/ddff9X555+vn3/+udoDqXvvvVcOh0Nr1qxRdHS0JKlnz546//zz9eqrr+rOO+884D3bt2/X+PHj9cgjj2jKlCnh7X379tV1112nV199VXfffXe5+v/nP/+p+Ph4LV++PBw+XXnllWrfvr2WLVumfv36HdPrAKBuKfei5n83fPhwNWnSRF999ZX+/PNPbdmypdTrzz//rIxxAgAkhQxDe1JztSslR+t/S9b1l39SKoy6+voWevntfqrX0E2JHgDUQHv27NE555yjLl26aO3atfrtt9906aWXVtnxBw0apIiICM2YMaPKjllbffvtt8rKyqruYWjHjh1auHChBg8eHA6LJKl///4644wzNGvWrIO+77PPPlMwGNTQoUNLbb/22mvVpk0bvffee+Xu3zAMeb3eUjOhIiIiJBWHnQBQHkcdSG3ZskV33HGHevfurebNm6tZs2YHvAAAR68gWKTte7OUlpWvBe/9rhuu+FR/bkqXJLlcVk2a0UPDHu0ku8PCU/QAoIaaM2eOGjdurCeffFLt27dXq1atDrog/YYNG7RgwYIy9/vNN9+oefPmGjFiRKntS5YsUYcOHfTJJ59oypQp+u677zRv3rzDluqNHTtW1113nSZMmKBmzZrJ4XCoXbt2+uijj0rt99hjj+miiy7S66+/rhNOOEEej0efffaZJOntt9/W6aefLqfTqdjYWF1zzTXasGHDAccKBAIaN26cTj75ZLlcLnXq1Emff/55qX1SUlI0aNAgxcfHy+v1qkuXLlqyZEm5+/nkk08OO4Nn//bp06frH//4h6TiUj6TyaQff/xRv/32m8xmsx577LEDxmiz2XTPPfeU2m4YhrKzs8v8CgaDB4xrzZo1knTQ4PLqq6/WDz/8cNAnmaempkqSXC7XAW0tW7bUH3/8Ue7+Bw4cqA0bNmjChAkKBoNKSkrSgAEDFB8fr3POOeeA9wPA4Rx1INWhQwclJCRUwlAAAIeSlVugrXuylJqepzEPrdCjI5YrL7f4Q+uJJ0fq9f+7UL36N5HNai4OoxxWNavvU5TPwXpRAFCDbN68Wa1atTrifq1atdLbb7+t7777rkz9fvPNN0pKStLTTz+tX3/9VZK0detWXXvttWrXrp1sNpvGjBmj7du366STTgovXL169eoD+lq+fLnmz5+vZ599VjfddJPGjh2r3NxcXXHFFfryyy/D+y1btkxLly7Vbbfdph49emjs2LFyOp166qmndNNNNykqKkqTJk3S7bffrqVLl6pTp0766aefSh1rzZo1mj17tm699VY9+uijysjI0MUXXxwOtiTpsssu07x583TzzTdr0qRJysnJ0SWXXKLExMRy9fP+++/rv//97yGv4f7tzZo106BBgyRJM2bM0Jw5c9S0aVOdeuqp6t+/v2bNmlVqRtD777+vYDCogQMHlupz27Zt8vl8ZX69/fbbB4xr586dkqSmTZse0Na8eXNJOmhVyimnnCKpOGjbX15enr755hvt2bOn3P1feeWVmjRpkh5//HG1bNlSrVq1UmZmpr766it5PJ4D3g8Ah3PU9RszZszQueeeq0cffVR33HHHQb/4HOwfNwDAkRmGoX0Z+UrNzNfmzekafs8S/f5barj9kitO0gOjO8nmMMvjtMnlsMrvtqt+NLOiAKAmatSokVasWKFQKCSz+fC/G541a5b69u2rV199VR07djzsvkOHDpXFYtGQIUP0zTff6IQTTtBll12mk046Sa+88oocDodCoVCZx2m1WrV48WJ16NBBkjRkyBC1bt1ao0eP1nnnnRfeLycnR/fdd5+ee+45SVJiYqIuuOACXXfddXrnnXfC3w3uv/9+tW3bVsOGDSs1u8ntdmvVqlXhqor77rtPbdq00UMPPaQLL7xQmZmZ2rFjh2bPnq0BAwZIks477zyddtppWr16ta6++uoy9VNe119/vfLz8/Xqq6/q6quvDgczkvTAAw+of//+mjdvnm655RZJ0vz583XiiSeqa9eupfpp0KCBli9fXubjtmjR4oBteXl5kqSoqKgD2mJjYyXpoE/Du/TSS9WyZUsNHTpUmZmZOu+887Rnzx5NmDBBO3fuVHx8fIX6v+222zRv3rxw8Nm3b181bty4zOcIACWOOpDKz8+X2WzWtGnTNG3atIPu8/cnWAAAjqwwGNKulBzl5hfqP5/8qQmjVyo7q1CS5HBY9PC4s3Texc1lNpt4ih4A1BKDBg3SzJkzdcstt2jo0KHh9XcOpU2bNurZs6defvll3XTTTYfd99prr9WQIUOUkpKiW2+9VcnJyVq7dq0cDke5x3n22WeHwyhJio6O1m233aapU6cqOztbXq9XUnFwtX/52ueff66CggKNHTu21P9F8fHxGjx4sJ588knl5eWFy8g6depUaokPv9+vW2+9VZMmTVJ6eroiIyO1adMm2Ww2bdq0SZ988om++uorSaVDkrL0U1n69eunNm3a6LnnntMtt9yiffv2KSEhQaNHjz5gX4fDoe7dux/V8erVqydJysjICAdEJUrCJJ/Pd9BjL1q0SDfeeKPuvffe8PYOHTrI6/WGZ+qVp/9t27apW7duat++vT788EMtXbpUo0aNUt++fbVkyRK53e6jOlcAx5ejDqSGDx8uq9Wq0aNH68QTTzzib3oAAEeWk1+oXck5yskt1PTJX2vem/9bd6PZCX5Neaanmp7ol91m4Sl6AFCLNG3aVF9//bUefPBB9evX76Br/xzMoEGDZLPZdP311x9yn5iYGFmtVs2aNUuJiYlaunSpGjZsWKFxHmyNqZJZMPsHUh07dlRMTEx4n6SkJEnF6y79XdOmTVVUVKT09PSDrmtUokGDBpKKf/EtSbt27dKQIUP0+eefq1mzZmrdunWZzuHv/VSm+++/X3fccYdWrFihX3/9VUVFRQd9UmIoFCrzn7FUPNPLbreX2lZy3bds2XJAYFSyDtShZig1bdpUy5Yt08aNG7V9+3Y1adJE+fn56tChg84///xy93/ffffJ5/Ppww8/lM1m00knnaTOnTvrjDPO0IsvvqiRI0eW+VwB4Ki/uWzYsEHjxo3TI488UhnjAYDjmmEYSsnMV3JGvrZty9CIoQla93NyuL3/Rc018rHOcrislOgBQC3VokULffzxx2Xa99Zbb9X69ev19ttvH7Sca3/JyckKBoPavHmz3nzzTXXu3Lkyhhu2adMmRUZGhmfUSCr1tDXpfyHQ5s2bddppp5Vq+/XXX+Xz+RQXF3fY46xbty58nKysLPXs2VORkZFaunSpevbsqa1btx408DpcP5Xtpptu0ujRo/Xcc88pJSVFnTp1Ouifz/bt28s01hJz5szRrbfeWmpb9+7d5XQ6tXDhQnXq1KlU26JFi9SyZctSoeDBtGzZUi1btpRUvCaXy+UKL9penv4XL16sO+64QzabLbxP27Zt1a5dOy1dupRACkC5HHUgFR8fr7S0tMoYCwAc14JFIe1OyVV2XoH+u2irxo5cocyMAkmSzW7Wg6M768IrTyxVolcv0q1ILyV6AFAXffzxxwoGg1q+fHmZyu7WrVsnSRo8ePARy/uOZNeuXSooKAjP1tm+fbtee+013XjjjYetiDj//PPlcDg0YcIEzZ8/P7zvxo0b9frrr+vuu++W1XroryA//fSTXnvtNQ0aNEhms1n//e9/tWPHDr3//vvhsOTvT88rSz8VUfJ/a0nZ2v6cTqfuuusuTZs2TaFQSM8888xB+6iMNaS8Xq8uuugizZo1S/fcc4+io6MlSQkJCVq0aJGmT58e3nfHjh1q0qTJIft/9tln9fHHH2vy5MnhoK48/fv9fn3zzTcyDCN8fZKTk/Xnn3+qbdu2ZT5PAJAqIZC64447NH36dN1yyy1q06ZNZYwJAI47eYFgcYleXqGemr5Wb85eF25r1NirKc/01IktI8Mleg6bRY0o0QOAOuuPP/7Qp59+qjfffLNMgUpKSkqpGS9Ha9OmTeratatuuukm7dmzR6+++qri4+M1efLkw76vQYMGmjJlikaMGKGePXvq8ssv1759+/Svf/1LcXFxpdZZMpvNWrZsmW655RadccYZ2rhxo+bMmaOTTz5ZU6ZMkaTw2k9PPfWUunXrpi+++EL/+c9/JCm8SHtZ+qmIkoXMx4wZo06dOslsNmvUqFHh9nvuuUdPPPGEJB2ylLIy1pCSpIkTJ6pTp07q0qWLbr/9diUnJ+v555/XmWeeGV4faurUqRo9erTeeeedA8aTmpqqCRMmaObMmRo0aNAB1S1l6V+SRo8eraFDh6pPnz665JJLFAgE9OqrryovL0/Dhg076vMEcJwxjtLAgQMNm81muFwuo3fv3kafPn1Kvc4555yjPUStl5GRYUgyMjIyqnsoAGqYUChkpGTmGRu2pRpfrtpunN7xDUOaEX6d0/dd44tVW43lPyca3/+eZPy2LdVI3JdtBItC1T10ADUAnzHqrmAwaBQWFpZ533PPPdeIjo42JBmffPLJUR27V69eRqtWrYwrr7zSiIiIMKKjo43bbrvNSEpKOmC/Xr16HbSPuXPnGh06dDAcDocRGxtr3HrrrUZiYmKpff744w9j4MCBRr169QybzWY0a9bMePDBB0vdz6FQyLj77rsNv99v1KtXz7jggguMjz/+2JBkTJw4scz9GIZh3HLLLcb+X3+aNWtWavx/bzcMwxg8eLDh8XiMBg0aGB9//PEB53nqqacaF1xwwaEvZiX67rvvjL59+xper9do1KiRcffddxvp6enh9tmzZxs+n89YtGhReNsjjzxi9OnTx3A6nUZ0dLTx4osvVrj/Eh999JHRtWvX8J/JRRddZPz444+Ve7IAjgsmwzCMowm0HnvssSNOQ93/0a7Ho8zMTEVERCgjI0N+v7+6hwOghigKhbQnNVdZuYVasni7Rg9fpvS0gCTJajXp/pFn6vIBp8hsNsnnsstuo0QPQGl8xoAkDRs2TK+++qr+/e9/67LLLtMbb7yhm2++ucL99e7dW1JxyRYObd26dWrbtq3mzp2rAQMGVPdwDurGG29UkyZNdOaZZ6p///7hxegBoCY46lqPxx9/vDLGAQDHlfyCoBKTc5SbX6iZT32vV1/6WSW/Hohv4NHkp3uqRZsoSvQAAIf15ptv6vnnn9eHH36obt26SSpeY+loAimUzeTJkxUXF6errrqquodySG+//XZ1DwEADqlc32yysrK0cOFCXXPNNRU62E8//aRQKKQOHTpU6P0AUBekZwe0Ny1Xu3fnaOT9Cfp2zZ5wW4/ejTR6Uhd5/fbwU/R8brvieYoeAOBv1q5dqzvvvFOTJk3SJZdcIsMw1LBhQ82bN08tWrTQgw8+KJ/PV93DrFOee+45bd26Venp6XrnnXc0c+bM8MLvAIDyKdcjJ3w+n5KTkzV79uxyH2jlypV66623CKMAHLdCIUO7U3K0JzVXK5bv1NUXfxQOo8xmk+4dcYYmP9dL/kiHIjwOuZ1W1Y9yq2EMYRQAoLS9e/fqyiuv1MUXXxxeoNpkMmncuHEymUzaunWrXC5Xhfr2+Xzh2VYorUGDBnrjjTe0cOFCjR07VkOHDq3uIQFArVWhNaRGjhypnTt3auLEiTr55JMPu+/OnTv11FNP6c8//9T8+fPL9Mjauob1HQAECou0668SvZde+FEvPfujQqHif35j41ya/FQPtT49lhI9AOXCZ4zjV0FBgXJzc+X1emW1lv6/IjU1VVFRUaw3CACo0Sr0TWfGjBmaNWuWzjjjDDVu3Fjt27dXo0aN5PF4JEk5OTnatWuXfvnlF23evFkTJ07UM888U6kDB4DaIjO3QHtScpW0L0ejhi3V6uW7wm1nd2ugsVO6yh/l2K9Ez/ZXiV65JrECAI4jdrv9kKVi0dHRVTwaAADK76iesrdv3z699NJL+uijj/TLL78oGAxKkiwWi9q2batLL71Ud955pxo2bFhpA66N+O0lcHwKGYb2peUpLTugb77erZH3JShpT64kyWSS7hjaXjcMai2r1cxT9ABUCJ8xAABAbXVUgdT+gsGgUlJSZBiGYmJiZLPZKqPbOoEPi8DxpzBYFH6K3uxZv2jmk9+pKFj8z210jFOPP9Fd7TvVk91qkdddXKLXMMYjl4MSPQBlx2cMAABQW1XaNx+r1ar69etXVncAUGtl5xVqd0qOklNz9fDw5Vr21Y5wW8dO9TXuiW6KinFSogcAAADguFUpgVRiYqJWrlwpk8mkDh06HHGhcwCoiwzD0L6MfKVm5uuHH/ZqxD0J2p2YHW6/7c7TdPNdbWWz/a9ELy7SpSivgxI9AAAAAMeVow6kvvjiC1111VXKy8uTYRgymUzq1auXXnrpJbVs2bIyxggANV5hMKTdKTnKzivQm3PW6emp36qwMCRJ8kfY9fgT3dWxSzwlegAAAAAg6ajrQx566CFJ0osvvqgVK1Zozpw5ysvL09lnn601a9Yc9QABoKbLyS/Utr1Z2rMvV/cPWazpj38TDqPanR6n19+7UB27xMvjtMnvsSvCbVfzeB9hFAAAAIDj1lEvau71enXHHXfo6aefDm8zDEO33HKLvvjiC61fv14xMTFHPdDajAVHgbpl9tNPKzszUx6fT1cMHqLkjHz9+us+Db9niXZszQrvd+OtrTXovnay2yzyuSnRA1D5+IwBAABqq6P+9fxJJ52kqKioUttMJpP+9a9/qUWLFnriiSc0ffr0oz0MANQYrz79tPYkJiquQUN1u+pWzfv3Bk2f+I0KAkWSJK/PpsemdFWXXo2KS/RcNjnslOgBAAAAQIlylezNmTNH7du319ChQ/Xuu+8qMTFRd9xxh+bNm6fCwsJS+zocDl177bX64IMPKnXAAFDdSqaVFoUMjRy2VBPHrA6HUa3bxuj1+ReqS69G8jht8rmLy/Sa16dEDwAAAABKlCuQuuyyy9SoUSO99dZbGjBggJo2bapp06Zpw4YNuuaaa5SYmFhqf7fbre3bt1fqgAGguhiGofffma+UpCRJUureJCV89HG4/dobWur51/uqQWOvIjwOuR1W1Y92q1GsRxbLUS/ZBwAAAAB1Rrm+IUVHR+uzzz5TWlqavv76a02dOlXt2rWT1+vVxx9/rKZNm+rUU0/Vfffdpw8//FD/93//p4iIiKMa4Nq1a3XhhRcqKipKHo9HnTt31ty5c8v8/oSEBN1www069dRTFRkZKbfbrZYtW+q2227Txo0bj9lxAdQtRaGQ5r01Tw/ecJ2C4RmhRYrTm4p0/KbJT/fQvQ93lMdtU6S3OIxqWt+naJ+T9aIAAAAA4G+OelFzSQqFQvruu++0ZMkSLV26VCtXrlRmZqYkaeDAgXrrrbcq1G9CQoL69+8vu92u66+/XhEREVqwYIG2bNmiyZMna/To0UfsY8yYMXrzzTd11llnqVGjRrLb7frtt9/0+eefy2q16vPPP1efPn0q/bj7Y8FRoHbLLwgqMTlHd53fW3/88uMB7U1atNOU9z6X22mTy168gHmDaDezogAcc3zGAAAAtVWlBFJ/FwqF9O2332r58uUaOHCg4uPjy91HMBhUq1attHPnTq1evVodOnSQJGVlZalLly7auHGj1q9fr1NOOeWw/eTn58vpdB6w/auvvtJ5552nM888U2vXrq304+6PD4tA7WQYhjJyCrQ3LVd/bErT0PNOlYyCA/ZzuNz6v1+3y2796yl6Pp6iB6Bq8BkDAADUVsfk1/dms1mdO3fWiBEjKhRGSdLixYu1efNm3XDDDeFQSJJ8Pp/Gjh2rYDCoOXPmHLGfg4VRknTuuecqKipKf/zxxzE5LoDaLRQytDs1V3tSc/XRB3/o2ks/VsCof9B9m7Vo9b8SPT8legAAAABwJDW2niQhIUGS1K9fvwPaSrYtXbq0wv2vXr1aaWlpatu2bZUeF0DNFygs0ra9WdqXkqvHRq/QQ/cvVW5OUBk6R1LpsMlkMunW4SPVLJ6n6AEAAABAWdXYb0+bNm2SpIOWxkVFRSk2Nja8T1kkJCQoISFBgUBAmzZt0qeffqrY2Fg988wzx/S4AGqXzJwC7UnN1Z9b0vXAkMXasC413Nb70kvVu3s3zRp9j4qChbLabJr2xr915fVXMysKAAAAAMqhxgZSGRkZknTIp/T5/X7t3LmzzP0lJCRowoQJ4Z9PPvlkzZs3Tx07dqz04wYCAQUCgfDPJQu8A6i5QoahpLQ8pWcHtPDzLRo7coWys4rXi7LbLRo5ppP6X3ai7Daz3n16nFL27FZMvXq6asA11TxyAAAAAKh9amzJXmUbP368DMNQdna2vvnmG7Vq1UrdunXT3LlzK/1YU6dOVURERPjVpEmTSj8GgMpTECzS9r1ZSkrN1eQJq/XAXYvDYVSTZj79a+75Ov/yE+VxWuV322X+azYUc6IAAAAAoGJq7AypkhlKJTOW/q7kqTLl5fF41KlTJ33wwQc688wzdccdd6hv376Ki4urtOM+8sgjGj58eKn3EEoBNVNWboF2p+Zqx/ZMPXDPEv3y475w23nnN9PIxzrL67PL57bJZrUoLsKl20cMV05Wlrw80QoAAAAAKqTGBlIlazht2rTpgLK6tLQ0JScnq2vXrhXu32q1qk+fPvrpp5/07bff6oILLqi04zocDjkcjgqPDcCxZxiG9qXnKTUroMVfbtPoEcuVkV5camu1mfXAQ2fqkmtOlt1mls9ll91mUcMYt9xOm24fMaKaRw8AAAAAtVuNLdnr1auXJGnRokUHtJVsK9mnonbt2iWpOJyqyuMCqF6FwZC2J2Vrb2quZkz9RvcM+jIcRjVs5NWst/rr0mtPDpfo+dw2NY/3ye20VfPIAQAAAKBuMBmGYVT3IA4mGAyqZcuWSkxM1Jo1a3T66adLkrKystSlSxdt3LhR69atU4sWLSRJycnJSk5OVmxsrGJjY8P9LFu2TD169DjgCViLFi3SxRdfLLfbrcTERHk8ngodtyxKyvwyMjLkp8QHqFbZeYXanZKjxF3ZGjF0ib5fuzfc1vOcJnrk8bPkj3DI67bJbrUoNsKpGL+Tp+gBqJH4jAEAAGqrGluyZ7VaNXv2bPXv3189evTQgAED5Pf7tWDBAm3ZskWTJk0qFQq98MILmjBhgsaNG6fx48eHt1966aWKjY1Vp06d1KRJE+Xl5ennn3/WsmXLZLPZNHv27HAYVZHjAqgdDMNQcka+UjLztXzZTj08bKlSU/IlSRaLSUNHnKErb2gph80sr9suh82iBjFueZgVBQAAAACVrsYGUpLUp08frVixQuPGjdP8+fNVUFCgNm3aaOLEiRo4cGCZ+pgwYYIWLlyoFStWaN++fTKZTGrSpIkGDx6sYcOGqU2bNsfkuABqjmBRSLtScpSVU6AXnv1Br7zwk0Kh4smh9ePdmvhkD53aLkYuh1Vuh1Uel00NYzyyWmpsVTMAAAAA1Go1tmSvLmE6PVB9cvMLtSslV3v2ZOvB+xL09ard4bauPRpq9OQuioxyyueyyW6zKMbvVGwEJXoAagc+YwAAgNqqRs+QAoCKMgxDqZkB7cvI05o1uzTq3gTtS8qTJJnNJt15X3tdf2vr4qfoue2yW81qGOuhRA8AAAAAqgCBFIA6J1gU0u6UXGXmBPSvl37SC0//oKKi4smgMbEuPf5EN7U7s97/SvScNjWI8chmpUQPAAAAAKoCgRSAOiUvENSu5Bzt3ZerUQ8kaGVCYrit01nxGju9q6JjXJToAQAAAEA1IpACUCcYhqG07ID2peXp22/3asTQxdq7O1eSZDJJg+5up4GD28jpsIRL9BrEeOR1UaIHAAAAAFWNQApArVcUCmlPSq4ycws0Z/avembatwoGQ5KkqGinxk/vpjPOqi+X3Sq30yq3s/gpepToAQAAAED1IJACUKvlFwSVmJyj5JQ8PfLgMi1ZtD3c1qFjPY2b3k2x9d3yumxy2CyK9jsVR4keAAAAAFQrAikAtZJhGErPLlBSeq5++nGfht+zWIk7ssPtNw9uo3/c3U5Op0U+t012q4USPQAAAACoIQikANQ6oZChPWm5ysgO6O031+vJSd+ooKC4RM/vt+uxqV11Vo+Gctqt8jitcjtsahhLiR4AAAAA1BQEUgBqlUBBkRJTcpSalqcxDy3XF59uDbe1bRerCTO6q35Dz/9K9HwOxUW6KNEDAAAAgBqEQApArZGRHdCetDytX5esB4Ys1rYtmeG2629qpTvuP10ul1U+t002q0UNot3yue3VOGIAAAAAwMEQSAGo8UIhQ3vTcpWRU6D572zQlPFrFMgvkiR5vDY9OrGLepzbOFyi53JY1TDWI7vVUs0jBwAAAAAcDIEUgBqtoLBIick5SsvI1/hHV+qTBZvDba1aR+vxJ3uoYROvvE6bHHaLorwOxUW5ZKZEDwAAAABqLAIpADVWZm6B9qTmauPGVA27e7H+3JQebrvquhYa8mAHuVw2+d022WwWxUe75adEDwAAAABqPAIpADVOyDC0Ly1PadkBffj+Jj0+ZpXycoOSJJfbqkfGn6U+5zeTw2aR12WT025Vo1iP7DZK9AAAAACgNiCQAlCjFASLtCs5R+kZ+Zo0fo3en/d7uO3kFpF6fEYPNT3BL4/LKqfdqkivQ/Uo0QMAAACAWoVACkCNkZVboN2pudq8OU3D7l6s339LC7ddfMVJuv/hM+Xx2ORz22S3/lWi56FEDwAAAABqGwIpANXOMAztS89TalZAn336px57aIVysgslSQ6HRaMe66y+FzeX024Nl+g1jPXIQYkeAAAAANRKBFIAqlVhMKRdKTlKz8zX9Enf6J03fwu3NT/Br4lP9VDzkyPl/atEL8JjV/0ot8xmSvQAAAAAoLYikAJQbbLzCrU7JUdbt2Zq2JCvtP6XlHDb+RefoOFjOsnrtcnntstmtSg+yqUIr6MaRwwAAAAAqAwEUgCqnGEYSs7IV0pmvv77xVY9+uByZWUWSJJsdrOGP9JJF115opx2qzwlT9GL8chhp0QPAAAAAOoCAikAVaowGNLulBxlZAf01PS1euNf68JtjZt4NfGpHjq5VZQ8TptcDqv8HrviKdEDAAAAgDqFQApAlcnJL9TulFxt35GpEUOX6MfvksJtffo21ajxZ8kfYZffbZfNalb9KLciPHaZTIRRAAAAAFCXEEgBOOYMw1BKZr6SM/KVsGS7Hhm+TOmpAUmS1WrSfSM76vLrT5HDZpXXbZPDZlGjWI+cdv6JAgAAAIC6iG97AI6pYNH/SvRmPv29Zv/zZxlGcVt8Q48mPtldrdrGhEv0fG6b4qM9slCiBwAAAAB1FoEUgGMmNxDUruQc7dqVrRH3LtG3X+8Jt/Xo3VgPTzxbkVEO+Vx22W1m1Yt0K9JLiR4AAAAA1HUEUgAqnWEYSs0KKDk9TytX7NSo+5cqJTlfkmSxmHT3sA665qaWctqt8rpsctgtahjjkcvBP0kAAAAAcDzg2x+ASlVUFNLu1FxlZAf00vM/6qXnflQoVFyjF1fPpcdndFfbDnFyO21y2S3yue1qEO2WxWKu5pEDAAAAAKoKgRSASpP3V4nenr05evD+BK1ZsSvcdna3BhozuauiYpzyuW2yWy2Ki3QpyuegRA8AAAAAjjMEUgCOmmEYSssOaF96nr5Zs1sP3pugpL25kiSTSbpjaHsNuK21nA7LX+tFFT9FjxI9AAAAADg+8W0QwFEpCoW0JyVXmbkF+tdLP2vmU9+pKFhcohcd49T46d3VoXM9uR1WuRxWeV12NYhxy0qJHgAAAAActwikAFRYfkFQick5SkrO1cMPLNWyxTvDbR0719fYqV0VV88tb0mJXoRL0X5K9AAAAADgeEcgBaDcDMNQenaBktJz9cN3SRo+dLF2J+aE2/9x52m6+c62cjmKFy232yxqGOOW22mrxlEDAAAAAGoKAikA5VIUMrQ3NVcZOQG98do6PT11rQoLQ5KkiEiHxk3tpk7d4uVyWOV2WOVx2dQwxkOJHgAAAAAgjEAKQJnlFxRpV3K2klPz9OjI5fpy4bZwW7sOcRr3RDfVj/fI57LJbrMoxu9UbISTEj0AAAAAQCkEUgCOyDAMZeQUaG9arn79JVkPDFmsHduywu03/qO1bhvaTi6ntbhEz2pWgxiPvC5K9AAAAAAAByKQAnBYoZChPWm5ysgO6J1//6bpj3+jgkCRJMnns2vM5C7q2ruRXHar3E6r3M7iEj2blRI9AAAAAMDBEUgBOKRAYZESk3OUlp6nsQ+v1Ocf/xluO7VtjB6f0V0NGnvlddnksFkU7XcqjhI9AAAAAMAREEgBOKiMnID2pOZpw28pGnb3Ym39MyPcdu3AlrpzWAe53Vb53DbZrBY1iHbL57ZX44gBAAAAALUFgRSAUkIhQ3vTcpWRU6D35m/U5LGrlZ9fXKLn9lj16ONd1LNvEzntVnmcVrkcVjWK9chmtVTzyAEAAAAAtQWBFICwQGGRdiXnKD0zXxPGrNJH7/0RbjulZZQmPtVDjZv6ikv07BZFeR2Ki3LJTIkeAAAAAKAcCKQASJIycwq0JzVXv/+eqgeGLNYfv6eH2y6/5hTdO+oMuVw2+dw22W0WxUe75adEDwAAAABQAQRSwHEuZBhKSstTenZAH3/4hyaMXqncnKAkyeWy6qFxZ+ncC5vJYbPI67LJaS8u0bPbKNEDAAAAAFQMgRRwHCv46yl6mVkBTXl8jeb/e2O47cSTI/T4Uz3U7IQIeV1WOe1WRXjsqh/lltlMiR4AAAAAoOIIpIDjVGZucYnelj/TNWzIYm1Ylxpuu/DSEzXs0TPl9djDT9GLj3YpwuOoxhEDAAAAAOoKc3UP4EjWrl2rCy+8UFFRUfJ4POrcubPmzp1b5vevWLFCI0aMUMeOHRUTEyOn06lWrVrpoYceUnp6+kHf07x5c5lMpoO+7rrrrko6M6B6hIzip+jtSs7RZ5/+qasv/igcRtntFo1+/Gw9PPEsRfodivDa5Xba1Ly+jzAKAAAAAFBpavQMqYSEBPXv3192u13XX3+9IiIitGDBAg0cOFBbt27V6NGjj9jH1VdfreTkZHXv3l0333yzTCaTEhIS9MQTT+j999/XqlWrVK9evQPeFxERoWHDhh2w/cwzz6yMUwOqRUGw+Cl6mdkFmj75G819fX24rWlznyY+2UMntoiUx2mTy2GV32NXPCV6AAAAAIBKZjIMw6juQRxMMBhUq1attHPnTq1evVodOnSQJGVlZalLly7auHGj1q9fr1NOOeWw/UyfPl0333yzGjRoEN5mGIbuuecevfTSSxoyZIhefPHFUu9p3ry5JGnr1q2Vci6ZmZmKiIhQRkaG/H5/pfQJlFdWboF2p+Zq+/YMPXDPEv36Y3K4rd8FzTXisc7y+mzyueyy28yqF+lWpNcuk4kwCgBqKj5jAACA2qrGluwtXrxYmzdv1g033BAOoyTJ5/Np7NixCgaDmjNnzhH7eeihh0qFUZJkMpk0duxYSdLSpUsrd+BADWMYhpLScpWYnKP/Ltqqqy/6OBxGWW1mjRzbWWOmdVFkhEORXofcTqua1fcpyucgjAIAAAAAHBM1tmQvISFBktSvX78D2kq2HU2YZLPZJElW68EvQSAQ0BtvvKHExERFRUWpa9euat++fYWPB1SHwmCouEQvJ6BnZnynObN+Cbc1bOTVpKe665TW0eESPZ/LpvgYtyzmGptVAwAAAADqgBobSG3atEmSDlqSFxUVpdjY2PA+FfHaa69JOnjgJUl79uzRrbfeWmrb+eefr7feekuxsbGH7TsQCCgQCIR/zszMrPA4gYrKzivU7pQcJe7K0vChS/TD2qRwW69zm+jhCWfJH+GQz22X3WpWXJRLUV5mRQEAAAAAjr0aOw0iIyNDUvHi4gfj9/vD+5TXjz/+qAkTJqhevXoaNWrUAe233XabEhIStG/fPmVmZmrNmjW64IILtHDhQl166aU60rJbU6dOVURERPjVpEmTCo0TqAjDMJSUnqed+7K1ZMl2XXnBR+EwymIxadhDHTXx6R6KinYVl+g5rGpa36don5MwCgAAAABQJWrsoub9+vXTf//7X23atEknn3zyAe0nnXSSdu7cWWomUlls2bJFPXr0UHJysj7//HP16dOnTO8LhULq1auXVqxYoU8//VQXXXTRIfc92AypJk2asOAojrnCYEi7UnKUlRPQC8/+oFde+Eklf8Prx7v1+JM91LpdjNwOq1wOq7wuuxrEuGW11NhsGgBwGCxqDgAAaqsa+y20ZGbUoWZBlXwAK49t27apT58+2rdvn957770yh1GSZDab9Y9//EOStHLlysPu63A45Pf7S72AYy07r1Bb92Rq245MDbrpC816/n9hVNcejfTquxeobftY+T12uZ021Yt0q3GchzAKAAAAAFDlauw30ZK1ow62TlRaWpqSk5MPur7UoWzdulW9e/fWrl27NH/+fF188cXlHlPJ2lG5ubnlfi9wrBiGoX1/leitXJGoqy76UN+s2i1JMptNuueBDpr6fC/FxLoU4XXI7bCpaT2vYiIo0QMAAAAAVI8aG0j16tVLkrRo0aID2kq2lexzJCVhVGJiot59911ddtllFRrT119/LUlq3rx5hd4PVLbCYEjbk7KVlJarF2f+oME3LlRyUp4kKTbOpRdeO0/X/+NUeVxWRXjs8rltah7vk9tpq+aRAwAAAACOZzV2DalgMKiWLVsqMTFRa9as0emnny5JysrKUpcuXbRx40atW7dOLVq0kCQlJycrOTlZsbGxpZ6C9/cw6sorrzzscdevX6+GDRsqMjKy1PYVK1aob9++MgxDv//+u5o2bVrmc2F9BxwLOXmF2pWSo6R9uRr1wFKtWpoYbut0drzGTuuq6BiXfC6b7DaLYvxOxTIrCgDqFD5jAACA2spa3QM4FKvVqtmzZ6t///7q0aOHBgwYIL/frwULFmjLli2aNGlSOIySpBdeeEETJkzQuHHjNH78+PD23r17a9u2bTr77LP1888/6+effz7gWPvvP3/+fD3xxBM699xz1bx5czkcDv36669atGiRzGazXn755XKFUUBlMwxDyRn5SsnM17dr9+jBe5do7+7iMlKTSRo8pJ0GDm4jh90in9smu9WiBjEeeV3MigIAAAAA1Aw1NpCSpD59+mjFihUaN26c5s+fr4KCArVp00YTJ07UwIEDy9THtm3bJElr1qzRmjVrDrrP/oFUnz599Ntvv+n777/X0qVLlZ+fr/r16+u6667TAw88oM6dOx/1eQEVVRgMaXdKjrLzCvTqK79o5ozvFQyGJElR0U6Nn95NZ5xVX067VR6nVW6nTQ1jPLJZa2x1LgAAAADgOFRjS/bqEqbTozLk5Bdqd0qu9qXk6pERy7T0yx3htjPOrK/HpnVVbH23vC6bHDaLon0OxUW6KNEDgDqMzxgAAKC2qtEzpAAUl+ilZOYrOSNfP/2QpOFDl2jXzuxw+623t9Wtd58mu90iv9smm82iBtFu+dz2ahw1AAAAAACHRiAF1GDBopB2peQoO7dAb72xXk9NXqvCwuISPX+EXeOmdVfnbvFy2CzyumxyOaxqGOOR3Wap5pEDAAAAAHBoBFJADVVSopeWlq8xDy/Xov9sDbed1j5W45/srnr1PfK6rHLarYr0OlQvyiUzJXoAAAAAgBqOQAqoYfYv0Vu3LlkPDFmsHVuzwu033Hqqbr+vvRx2q3xum2xWi+KjXYrwOKpx1AAAAAAAlB2BFFCDBItKnqJXqHfnbtC0x79WIL9IkuT12TR2Uld17dMoXKLnsFvVKMYjh50SPQAAAABA7UEgBdQQufmF2pWSq4zMgMaNXqH/fPhnuK1V62g9/mQPNWjskcdZvFaU32NXfJRbZjMlegAAAACA2oVACqhmhmEoNTOgfRl52rghRQ/cs0Rb/sgIt189oIXuHnGGnE6LfC677Daz6ke5FeGxy8R6UQAAAACAWohACqhGxSV6ucrOK9CC937X5LFrlJcXlCS53FY9+vjZ6tWvqexWi7xumxw2ixrFeuS081cXAAAAAFB78a0WqCa5gaBmTpmutJR0rVyRopU/tQ63ndwiUpOe7qFGTX1yO21y2S3yue1qEOOWxWyuxlEDAAAAAHD0CKSAKmYYhlKzAkpOz9O7/3xB6cl7FFSEpOJA6tKrTtb9D3WU01X8FD271aK4SJeifA5K9AAAAAAAdQKBFFCF9i/R+/TjzUpJyVPJ8/GcToseeuwsnXfxCbJZTX+tF2VRw1iP3A7+qgIAAAAA6g6+5QJVJDcQ1K7kHGXnFGjapK/1yVvvKU7ZkiSrsjVimE3nXdxcLodFbodVXpdNDWI8sloo0QMAAAAA1C0EUsAxtn+J3pat6RoxNEFbf1mqenpjv72KNHf6fWrazK+eF16i2AinYvxOSvQAAAAAAHUSUy+AYyhYFFJico6S0nL1+edbdO0ln2j9LymK0OID9jUMQwtmzVSTel7FRrgIowAAAAAAdRYzpIBjJK+kRC+3UDOmfaN/v7Y+3GY37ZWMA9+zY9MGeZy2KhwlAAAAAABVj0AKqGSGYSgtK6B96XnaviNLD967RD//sC/cfl7/ZgpuP1Vbf/vpgPee0qZNVQ4VAAAAAIBqQckeUImK/irR25uWqy+/2qZrLvkoHEZZrSaNfLSTxj3RTVfcdf8BJXkmk0lDRo+ujmEDAAAAAFClmCEFVJKSEr3c/EI9+9R3mvPyLzL+Kstr0MijSU/2UIs20XLarep72WWK9jk04c5bFSwslM1m0wv/93/qd9ll1XsSAAAAAABUAZNhGAdZyQaVKTMzUxEREcrIyJDf76/u4aCS7V+it2t3th68L0Hff7M33N6zT2M9MqmLvD67vC6rnHarIr0O1YtyqVuTJtqTmKj4Ro20eufOajwLAEBtxGcMAABQWzFDCjgKRUUh7U7NVVZugZYt26nRDyxTakq+JMliMWnoiDN01cCWslrM8rltslstio92y++xS5IGDR+u7MxMefkSAQAAAAA4jhBIARVUUqKXFwjqxed+0Csv/KRQqHjCYb36bk16qodObRcjh80ir8smh92qRrEeOWyWcB+Dhw+vruEDAAAAAFBtCKSActq/RG9vUq5GDUvQ1yt3h9u7dG+oMVO6yh9pl8dpk8thld9jV3yUW2az6TA9AwAAAABwfCCQAsph/xK9Nat366H7E7QvKU+SZDJJd9/fQdfd2kpWq1k+l112m1n1It2K9NoPeKoeAAAAAADHKwIpoIzyAkHtSslRfiCoWf/8Sf985gcVFRWX6MXEOjXxyR467Yw42a0lJXoWNYr1yGnnrxkAAAAAAPvjmzJwBIZhKC27uEQvOTlPDw9fphUJ/3siXqez4jXuia6KiHLK7bTJZbfI57arQYxbFrO5GkcOAAAAAEDNRCAFHMb+JXrffbtXo+5L0O5dOeH2wXe30013tCku0fvrKXpxkS5F+RyU6AEAAAAAcAgEUsAh7F+iN2f2r3ruie8UDIYkSRGRDk2c0V0dzoqXzWr6a70oixrGeuR28NcKAAAAAIDD4Zsz8Df7l+ilpOZrzKjlWrJoe7j99DPq6fEZ3RUV55TLYZHbYZXHZVPDGI+sFkr0AAAAAAA4EgIpYD8lJXrZeYX68YckjbxviXZuzw633zyojQYNbSeL1Syfyya7zaIYv1OxEU5K9AAAAAAAKCMCKeAv+5fo/fut3/TU5G9UUFBcouf32zV+Wjd16t5QVotJPrdddqtZDWM88rhs1TxyAAAAAABqFwIpHPf2L9FLTw9o3OgV+uLTreH2Nu1iNemp7oqt75bTbpHHaZXbWVyiZ7NSogcAAAAAQHkRSOG4tn+J3q+/7tOD9yZo25+Z4fYBN5+qO4edLqvNLK/LJofNomifQ3GRLkr0AAAAAACoIAIpHLdKSvQCBUV6950NeuLxr5WfXyRJ8nhtemxyV3U7p7HMJpP8bptsNovio93yu+3VPHIAAAAAAGo3Aikcd/Yv0cvILNDEsav06Qebw+0tW0Vp8jO9VL+RW3Zr8cwop92qRrEe2W2Wahw5AAAAAAB1A4EUjiv7l+j99luKHrw3QX9uSg+3X3VdCw0ddYasNou8LqucdqsiPHbVj3LLbKZEDwAAAACAykAghePG/iV6HyzYpMljVysvNyhJcrmsevTxLup9flOZTJLfbZfNalF8lEsRXkc1jxwAAAAAgLqFQAp13v4letnZhZry+GotmLcp3H7iyZGa9lxPNWjila2kRM9mUcNYr5x2SvQAAAAAAKhsBFKo0/Yv0du0KU0j70vQxvWp4fZLrjhJw0d3ktVhlsdpk8thlc9tV3y0WxZK9AAAAAAAOCYIpFBn7V+i959PNuvxR1cpO6tQkuRwWPTwuLPU9+LmMplM8rntstvMiot0KcrrkMlEGAUAAAAAwLFCIIU6Z/8SvZycQj0x9Ru9++aGcHuzE/ya9mwvNT7BL6vVJJ/LLofNooaxHrkc/JUAAAAAAOBY49s36pT9S/T+3JKuUfclaN3PKeH2/hc216jxZ8nutMjtsMjlsMrrsqtBjFtWi7kaRw4AAAAAwPGDQAp1xv4lel8s3KrxD69QZkaBJMlmN2vk6M668KoTJZnkc9lkt1kUG+FUjN9JiR4AAAAAAFWIQAq13v4lerl5QT39xFq9/er6cHujxl5Nf66Xmp0SKYv5r/WirGY1jPXI47RV48gBAAAAADg+1fgapbVr1+rCCy9UVFSUPB6POnfurLlz55b5/StWrNCIESPUsWNHxcTEyOl0qlWrVnrooYeUnp5+zI6LqlFUFFJico6S0vK0bVum/nHD56XCqHP6NtUb712oZqdEyGW3KMJjl9dlU/N4P2EUAAAAAADVxGQYhlHdgziUhIQE9e/fX3a7Xddff70iIiK0YMECbdmyRZMnT9bo0aOP2Ed8fLySk5PVvXt3dejQQSaTSQkJCfrhhx900kknadWqVapXr16lH3d/mZmZioiIUEZGhvx+f7nei0Pbv0Rv8VfbNXbkcqWnBSRJVqtJw0adqSsGtJAhyeuyyWGzKNrnUFykixI9AECdwGcMAABQW9XYQCoYDKpVq1bauXOnVq9erQ4dOkiSsrKy1KVLF23cuFHr16/XKaeccth+pk+frptvvlkNGjQIbzMMQ/fcc49eeuklDRkyRC+++GKlH3d/fFisXIZhKC2ruEQvLxDUC89+r9de+kUld3J8A4+mPttTp7SOltlkkt9tk81mUYNot3xue/UOHgCASsRnDAAAUFvV2JK9xYsXa/PmzbrhhhvCoZAk+Xw+jR07VsFgUHPmzDliPw899FCpMEqSTCaTxo4dK0launTpMTkujo2SEr29abnakZil22/+Qq/+839hVPdejfTWgot08qlRslvNivTa5XHZ1DzeRxgFAAAAAEANUWMXNU9ISJAk9evX74C2km1/D5PKw2YrXj/Iai19CY71cVFxeYGgdiXnKFBYpOXLd+rREcuVsi9PkmQ2m3Tv8DN07S2tFDIkr8sqp92qSK9D9aJcMlOiBwAAAABAjVFjA6lNmzZJ0kFL46KiohQbGxvepyJee+01SQcGT8f6uCi//Uv08guK9PILP+qV539SKFQ8LSo2zqWpz/TUqe1jZTJJkR67bFaL4qNdivA4qnn0AAAAAADg72psIJWRkSFJioiIOGi73+/Xzp07K9T3jz/+qAkTJqhevXoaNWpUpR83EAgoEAiEf87MzKzQOFFcorc7NVdZuQXavTdHjz64XGuW7wq3n92tgSY80V1un002q1lel01Ou1WNYjxy2C3VOHIAAAAAAHAoNTaQOla2bNmiiy++WEVFRZo3b55iY2Mr/RhTp07VhAkTKr3f483+JXqr1+zS6AeWKWlPriTJZJLuuu903TiotUKSPE6bXA6r/G676ke7ZTFTogcAAAAAQE1VYxc1L5mhVDJj6e9KnipTHtu2bVOfPn20b98+vffee+rTp88xOe4jjzyijIyM8GvHjh3lGufxzjAMpWbma/veLOXkF+rlf/6oO2/6IhxGRcc49dLr/XTj4DaSyaQIj0Nup1X1o9xqEEMYBQAAAABATVdjA6mSNZwOtl5TWlqakpOTD7rO06Fs3bpVvXv31q5duzR//nxdfPHFx+y4DodDfr+/1AtlE9zvKXp79uXq3ju/1PMzvldRsHi9qDM61de/P7hYbTrEyWIxK9LrkNthVdN6PkX5HDKxeDkAAAAAADVejQ2kevXqJUlatGjRAW0l20r2OZKSMCoxMVHvvvuuLrvssio5LsonLxDUtj1Zyswp0Ddr92jAZR9r2Vf/W69r0F2naear58kbaZfbYZHfbZPPbVezeJ9cjuOu+hQAAAAAgFrLZBiGUd2DOJhgMKiWLVsqMTFRa9as0emnny5JysrKUpcuXbRx40atW7dOLVq0kCQlJycrOTlZsbGxpdaF+nsYdeWVV1bqccuipMwvIyOD2VIHsf9T9AKFRXpzzjrNfOI7FRaGJEkREXZNerKnzuhSX4Yh+dw22a0WxUY4FeN3MisKAHDc4jMGAACorWrstBKr1arZs2erf//+6tGjhwYMGCC/368FCxZoy5YtmjRpUqlQ6IUXXtCECRM0btw4jR8/Pry9d+/e2rZtm84++2z9/PPP+vnnnw841v77l/e4ODrBopD2/PUUveTUfI0fvUKLF24Pt7c7PU5TnumpiBinzCaTfB677FazGsZ65HHaqnHkAAAAAACgompsICVJffr00YoVKzRu3DjNnz9fBQUFatOmjSZOnKiBAweWqY9t27ZJktasWaM1a9YcdJ/9A6nKOi6OLC8QVGJyjgoKi/T9j0kaPWypdmzLCrffdFsb3XV/e4VMkstukdtpldtpU8MYj2zWGlttCgAAAAAAjqDGluzVJUynL80wDKVmBZT8V4nevLkb9NTktSoIFEmSvD6bJk7vrrN6NlLIMOR12eSwWRTtcygu0kWJHgAAf+EzBgAAqK1q9Awp1F6zn35a2ZmZ8vr9Gjx8eHh7sCik3Sm5ys4rUGpaviaNW62FH28Jt5/aJkbTn+ul6PouSVKkxy6bzaIG0W753PYqPw8AAAAAAFD5mCFVBY7H3152adxYexITFd+okVbvLH5SXm4gqF1/lej9/GuyRg9bqi2bM8Lvuf7GVho6sqMMkyGHzSKvyyaXw6qGMR7ZbZbqOhUAAGqs4/EzBgAAqBuYIYVjbv8SvYJgkd5793fNmPiN8vKCkiS326rxU7qpR98mChYVl+g57VZFeh2qF+WSmRI9AAAAAADqFAIpVLpFH36olKQkSVJyUpLeeWOeOvTpr7SMfE17/Gt98v7m8L6ntIzSEzN7Ka6hRyHDUKTXLpvVovgolyK8juo6BQAAAAAAcAwRSKFSLfrwQ915xRXhn4OFhRpz20Dd9OgLmvt/Dv2xMS3cduW1p2j46E4yzJLNYpbXbZPTZlHDWK+cdkr0AAAAAACoqwikUKlenDLlgG2GYejVKdOVGLpXkuR0WjRmYledd2EzFRaF5HEWrxXlc9sVH+2WxUyJHgAAAAAAdRmBFCrVpnXrDrrdEtojSTrhpAjNeL63GjTxqihkKMLjkN1qVlyUS1Feh0ysFwUAAAAAQJ1nru4BoO7IzS9U01NaHbStUPV10WUn6s33LlL9xl5ZLCZFeh1yOaxqWt+naJ+TMAoAAAAAgOMEgRSOmmEYSs7I0/akbF151/3S34IlQyadP/AejZ3SVbJILodFfrddPrddzeN9cjmYqAcAAAAAwPGEJABHJVgU0q6UHOXkFSozu0BL1sQoybhZcXpbJhXJkEW3jJ6p/jdcoWDIkN9tl91mUWyEUzF+ZkUBAAAAAHA8IpBCheXkF2p3Sq4KCou0eUuaRg9frl9/TJbUVkXyyqoMRdeLU9/rr5DZZJLPY5fdalbDGI88Llt1Dx8AAAAAAFQTAimUm2EYSsnMV3JGvgqCRfpy0TY9/sgqZaQHJEk2m1k+p115WcX7O+0WeZxWuZ02NYzxyGalUhQAAAAAgOMZgRTKpVSJXk6B/vnsD3pr9joZRnF7w8ZePfl8b61blancrCxFRkXK67Ip2udQXKSLEj0AAAAAAEAghbIrKdELFBZp67Z0jR25Uj+s3Rtu731uE02Y1l0Wp1nNT7lLPrdNdptF8dFu+d32ahw5AAAAAACoSQikcETFT9HLV0pmvgoKi7R06Q6NH7VSqSn5kiSLxaRho87UtTe1UkGwSHarWV6XTU67VY1iPbLbLNV8BgAAAAAAoCYhkMJhFQZD2p2So5z8QmXnFWrWCz9qzku/KhQqrtGrV9+tJ5/vrVPaRKsgWCSP0yaXw6oIj131o9wymynRAwAAAAAApRFI4ZBy8gq1KyVHBcGQtu/M1LiHVmrtqt3h9m49G2nSjB6yuS0KGYYivQ7ZrGbVj3Ir0uuoxpEDAAAAAICajEAKB/h7id6KlYkaP2qF9u3NkySZzSYNfaCDbhzcRoHCItksxSV6DrtFjWI9ctq5rQAAAAAAwKGRHKCUwmDxU/Ry/yrRm/PKL3pl5k8qKiou0YuNc2n6s73UpkOcAoVFcjttctkt8rntahDjlsVsruYzAAAAAAAANR2BFMKy8wq1+68SvZ27sjRx9CqtXJoYbu98dgNNe7anHB6riopCivDYZbdaFBfpUpTPIZOJ9aIAAAAAAMCREUhBhmFoX0a+Uv8q0fv6m9167MEV2rMrJ7zPXfe21213t1MgGJLFbJLPbZfdZlHDGLfcTls1jh4AAAAAANQ2BFLHuf1L9HLyC/X2nPV68akfFAyGJEmRUQ5Ne6aXOpxVX4HCIrkcVrkdVnlcNjWM8chqoUQPAAAAAACUD4HUcWz/Er3de7M1acxqLf1yR7i9Q8d6euK5XvJEOlQYDMnntsthsyjG71RshJMSPQAAAAAAUCEEUsehv5fofff9Xo0dsVyJO7LD+9x2x2m6a9jpKgiGZDJJkX+tF9UgxiOvixI9AAAAAABQcQRSx5lSJXp5hXp37gbNnP6dCgqKS/T8frumPNVTnXs0VKAgKKfdKo/TKpfDqkaxHtmslmo+AwAAAAAAUNsRSB1HsnILtCc1VwXBIu3dl6tp47/Wfz/bGm4/rX2snny+t3wxTgUKiuR12eS0WxXpdahelEtmSvQAAAAAAEAlIJA6DhiGoX3peUrNCihQWKSff96nsSOWa9uWzPA+N97aWveN7KiCUEgyDEV67bJZLYqPdivCY6/G0QMAAAAAgLqGQKqOKwwWaVdyrnIDhcrJD+qD//tdT01eq0B+kSTJ47Vp4vTu6nluE+UVBGW3WcIzoxrFeuSwUaIHAAAAAAAqF4FUHZaVW6DdqbkqDBZpX0qenpy8Vv/5YHO4vVXraD31Qh/F1HcpryAoj9Mml8Mqv9uu+tFuWcyU6AEAAAAAgMpHIFUHGYahpPQ8pf1Vord+fYrGjFiuPzelh/e59oaWGvFoJwVDhopChiI8DtltZtWLdCvSa5eJ9aIAAAAAAMAxQiBVxxQEi7QrOUd5gaBy8oP69MM/NOPxb5SbG5QkuVxWjZvSVX0vPEG5gaBsVpN8LrscNosaxnrkcnBLAAAAAACAY4v0oQ4Jl+gVFik5PV/PTP1WH/3fpnD7SadE6ukX+yi+sVe5gUK5HVa5HFZ5XXY1iHHLajFX4+gBAAAAAMDxgkCqDggZhval5Sktu7hEb+PvqRo7Yrl+/y0tvM9lV52sR8afrSKTocKikPxuu+w2i2IjnIrxOynRAwAAAAAAVYZAqpYrKCzSs5OnKyM9Q1anR/b6/TX1sTXKyS6UJDkcFo2Z2EUXXnaicgNFsppN8nnsslvNahjrkcdpq+YzAAAAAAAAxxsCqVosM7dAe1JzNX/WC0rZs1s2d4w25brD7c1O8OvZf56jRs19yg0E5bRb5XFa5Xba1DDGI5uVEj0AAAAAAFD1CKRqoZBhKCktT+nZAQUKihQMhiRJeX8tXC5JF1xygh6b1FWGxaSCYEg+d/HC5dE+h+IiXZToAQAAAACAakMgVcsUFBYpMTlH+QXFT9F79ak3lJ6cLJMki7Lls67TsHGDdeV1LZQTCMosKcJTvF5UfLRbfre9uk8BAAAAAAAc5wikapHMnOISvYJgkdIyA5oy4iVt+GqSSuY6mVSk2KI3FB/VS9n5J8hhs8jrsslpt6pRrEd2m6Vaxw8AAAAAACBJLCJUC4RChnan5GhXSo5yA0H9sTld9w76Uj999cYB+xqGofdfnimP0yaf265Ir0PN6vsIowAAAAAAQI3BDKkaLlBYpF1/lehl5xVqxbKdmvjIKqWlBtRUew76nl1//i6306r6UW5FeOysFwUAAAAAAGoUAqkaLCMnoL2peSoIFik9K6DXXvpFr8/6RYbx1w62hlLhtgPe17xlKzWr75PTzh8vAAAAAACoeSjZq4FKSvR2p+QqN1CoP7dl6IE7F2vOy/8Lo3r2aawR0x47YPaTyWTS/WMfJYwCAAAAAAA1FqlFDRMoKFJiSo4Cf5XorVm9SxMeWqWUfXmSJLPZpGEjO+rmwW2VEyjU/ZbZemHkXQoWFspqs+nF+fPV7/LLq/ckAAAAAAAADoMZUjWEYRhKzw5o694s5eYXKjUzoNkv/axhgxeHw6i4em7NmXu+bhzURll5hTKbTDrvsssVGRMnSYqtV48wCgAAAAAA1Hg1PpBau3atLrzwQkVFRcnj8ahz586aO3dumd+flJSkqVOn6uqrr9YJJ5wgk8l0xEW+mzdvHt7v76+77rrraE/pAKGQod2pudqTmqu8QKG27sjUg0OW6JWZPykUKq7R69K9od77z2U6tX2scvIL5bJbFOGxy+eyafDw4bp/3DgNGj680scGAAAAAABQ2Wp0yV5CQoL69+8vu92u66+/XhEREVqwYIEGDhyorVu3avTo0UfsY/369Ro9erRMJpNOOeUUud1u5ebmHvF9ERERGjZs2AHbzzzzzIqcyiHlFxRp134let+u3aPxo1YqaU/xGE0m6Z5hHTR4SDvlBopUEAzJ57bLYbMo2u9UXIRTd44cUaljAgAAAAAAOJZMhhF+ZluNEgwG1apVK+3cuVOrV69Whw4dJElZWVnq0qWLNm7cqPXr1+uUU045bD979+7Vxo0b1aFDB/l8PrVq1UobN27U4U67efPmkqStW7dWyrlkZmYqIiJCGRkZ8vv9kopL9DJyCrQ3LVeFwZAycwJ6540NevnZHxQMFo8tOsapGTN764zO8crJLy7R87ttstksahDtls9tr5TxAQCA2ulgnzEAAABqgxpbsrd48WJt3rxZN9xwQziMkiSfz6exY8cqGAxqzpw5R+ynfv366tmzp3w+37EcbrkUhQztTiku0cvND2rHriw9cv8yvfDk9+Ew6syz4rXgs8vVrmM9ZecVyG41K9Jrl8dlU/N4H2EUAAAAAACotWpsyV5CQoIkqV+/fge0lWxbunTpMTt+IBDQG2+8ocTEREVFRalr165q3779UfebXxDUruQc5RcWKSevUD/9mKRxI1dq187s8D533NNeQ4adrryCIuUXBOV12eS0WxXhsat+tFvmI6yBBQAAAAAAUJPV2EBq06ZNknTQkryoqCjFxsaG9zkW9uzZo1tvvbXUtvPPP19vvfWWYmNjD/veQCCgQCAQ/jkzM1OSlJYVUH5GkQqDIWXkBPT+O7/rhRnfq7AwJEmKiHRo+jO91KVHQ2XlFcpkkiK9DtmsFsVHuRThdVTuSQIAAAAAAFSDGluyl5GRIal4cfGD8fv94X0q22233aaEhATt27dPmZmZWrNmjS644AItXLhQl1566WHXn5KkqVOnKiIiIvxq0qSJJGlfenGJXuKebI0buVLPTPk2HEa17xCn9/9zmc7sGq/M3ALZLGZFeh1yO6xqVt9HGAUAAAAAAOqMGhtIVafHHntMvXr1UmxsrHw+n8466yx9+umn6t69u1avXq3PPvvssO9/5JFHlJGREX7t2LFDkpSZV6iffkrSHQMW6quF28L73zKojV6fd6G8UXblBYJyO23ye+yK8NjVLN4np91yTM8XAAAAAACgKtXYQKpkZtShZkGVPFWmqpjNZv3jH/+QJK1cufKw+zocDvn9/lIvSfrk/T90142LtH1bliTJ57dr5qxzNWJ0Z+UWBFVUZCjCY5fHYVW9SJcaxnhkMdfYPyIAAAAAAIAKqbFpR8naUQdbJyotLU3JyckHXV/qWCpZOyo3N7dC73922rcKBIokSa3bxui9Ty9Vtz6NlZFTIIvZpEivQy6HTU3q+xTtd8rE4uUAAAAAAKAOqrGBVK9evSRJixYtOqCtZFvJPlXl66+/liQ1b978qPoZcNOpevu9ixQZ51JufqFcDov8Hru8bpuax/vkdtTYteYBAAAAAACOWo0NpM4991ydeOKJmjt3rn788cfw9qysLE2cOFFWq7XUU/CSk5O1YcMGJScnH9Vx169fr/T09AO2r1ixQk8//bQcDoeuvPLKCvXtcln15PO9NXrC2coPhlQYDMnntsvjtCk2wqUmcV5ZLTX2jwQAAAAAAKBS1NipOFarVbNnz1b//v3Vo0cPDRgwQH6/XwsWLNCWLVs0adIktWjRIrz/Cy+8oAkTJmjcuHEaP358qb72D6527959wLYnn3wyXI43f/58PfHEEzr33HPVvHlzORwO/frrr1q0aJHMZrNefvllNW3atELn9Mpb/dW2fWNlZBfIYjEp0mOX3WpRgxiPvC5bhfoEAAAAAACobWpsICVJffr00YoVKzRu3DjNnz9fBQUFatOmjSZOnKiBAweWuZ833njjsNvGjx8fDqT69Omj3377Td9//72WLl2q/Px81a9fX9ddd50eeOABde7cucLnU7+RR9l5hXLarfI4rXI5rGoU65HNylP0AAAAAADA8cNkGIZR3YOo60qeCLhw1UbVj4uS025VpNehelEumVm4HAAAVFDJZ4yMjIzwU30BAABqgxo9Q6quKMn8rEZARQV58njccluDys7KquaRAQCA2iwzM1PS/z5rAAAA1BYEUlUg66/g6bxu7ap5JAAAoC7KyspSREREdQ8DAACgzCjZqwKhUEi7du2Sz+eTab8SvczMTDVp0kQ7duxgmn0V4HpXLa531eJ6Vz2uedXieh+cYRjKyspSw4YNZTbzpF4AAFB7MEOqCpjNZjVu3PiQ7X6/nw/XVYjrXbW43lWL6131uOZVi+t9IGZGAQCA2ohfpQEAAAAAAKBKEUgBAAAAAACgShFIVSOHw6Fx48bJ4XBU91COC1zvqsX1rlpc76rHNa9aXG8AAIC6hUXNAQAAAAAAUKWYIQUAAAAAAIAqRSAFAAAAAACAKkUgBQAAAAAAgCpFIFVJ3n77bd15550688wz5XA4ZDKZ9Prrr5e7n1AopBdeeEHt2rWTy+VSXFycrr32Wm3atKnyB12LVcb1TkhIkMlkOuRrzZo1x2bwtVBiYqKeffZZ9evXT02bNpXdbld8fLyuuuoqff311+Xqi3v8yCrrenOPl016erruu+8+denSRfHx8XI4HGrUqJHOOeccvf/++yrPUovc32VTWdecexwAAKD2slb3AOqKMWPGaNu2bYqNjVWDBg20bdu2CvVz11136V//+pdat26te++9V3v37tW7776rRYsWadWqVWrdunUlj7x2qqzrLUm9evVS7969D9jeuHHjoxhh3fL8889r+vTpOumkk9S3b1/Vq1dPmzZt0ocffqgPP/xQ77zzjq699toy9cU9fmSVeb0l7vEjSU5O1muvvaazzz5bl19+uaKjo5WUlKRPPvlEV199tW6//Xa98sorZeqL+7tsKvOaS9zjAAAAtZKBSvHf//7X2Lp1q2EYhjF16lRDkjFnzpxy9bF48WJDktGjRw8jPz8/vP3LL780TCaT0bNnz8occq1WGdd7yZIlhiRj3LhxlT/AOub99983li1bdsD2ZcuWGTabzYiOji51zx4K93jZVNb15h4vm2AwaBQWFh6wPTMz02jdurUhyfj111+P2A/3d9lV1jXnHgcAAKi9KNmrJOedd56aNWt2VH3861//kiRNmjRJDocjvP3cc89V//79tWzZMv3+++9HdYy6ojKuN8ruyiuvVI8ePQ7Y3qNHD/Xp00epqan65ZdfjtgP93jZVNb1RtlYLBZZrQdOGPb5fOrfv78k6Y8//jhiP9zfZVdZ1xwAAAC1F4FUDZKQkCCPx6Nu3bod0FbyAX3p0qVVPaw6b9OmTZo5c6amTZumd955R8nJydU9pFrFZrNJ0kG/XP4d9/jRK8/1LsE9XjH5+flavHixTCZTmUrtuL+PXnmveQnucQAAgNqHNaRqiJycHO3evVtt27aVxWI5oP2UU06RJBbGPQbmzp2ruXPnhn92uVyaMGGCRo4cWY2jqh22b9+uL7/8UvHx8TrttNMOuy/3+NErz/XeH/d42aSnp+vZZ59VKBRSUlKSPvvsM+3YsUPjxo0L35+Hwv1dMUdzzffHPQ4AAFD7EEjVEBkZGZKkiIiIg7b7/f5S++HoxcXFacaMGbr44ovVtGlTpaena8mSJXrooYc0atQo+f1+3XnnndU9zBqrsLBQN910kwKBgJ544omDfgnfH/f40Snv9Za4x8srPT1dEyZMCP9ss9k0Y8YMjRgx4ojv5f6umKO55hL3OAAAQG1GIIXjVps2bdSmTZvwz263WwMHDlT79u3VsWNHjRs3TrfffrvMZipb/y4UCum2227TsmXLdPvtt+umm26q7iHVaRW93tzj5dO8eXMZhqGioiLt2LFD8+bN06OPPqpVq1Zp/vz55SqTRNkc7TXnHgcAAKi9+IRWQ5T8Vv1Qvz3PzMwstR+OnbZt2+qss87S3r17WVT3IAzD0O233663335bN954o15++eUyvY97vGIqer0Ph3v88CwWi5o3b66HH35YkyZN0gcffBBesPxQuL+PTkWu+eFwjwMAANR8BFI1hMfjUYMGDbRlyxYVFRUd0F6y7kh51tRAxcXGxkqScnNzq3kkNUsoFNKgQYP02muvacCAAXr99dfLPPOAe7z8juZ6Hwn3eNn069dPUvGC5YfD/V15ynrNj4R7HAAAoGYjkKpBevXqpZycHK1cufKAti+++CK8D46tYDCo77//XiaTSU2bNq3u4dQYoVBIgwcP1pw5c3TdddfprbfeKtM6RvvjHi+7yrjeh8I9Xna7du2SVLanGnJ/V47yXPND4R4HAACo+QikqkFycrI2bNhwwGOp77jjDknSmDFjVFBQEN7+1Vdf6YsvvlDPnj3VokWLKh1rXXCo67169WoZhlFqWzAY1MiRI7Vt2zb1799f0dHRVTnUGqtkps6cOXN0zTXX6O233z5sOMI9fnQq63pzj5fNjz/+eNBSu9TUVI0ePVqSdMEFF4S3c38fvcq65tzjAAAAtZfJ+PsnOVTI7NmztWLFCknSL7/8ou+//17dunXTySefLEm6/PLLdfnll0uSxo8frwkTJmjcuHEaP358qX5uv/12zZ49W61bt9ZFF12kvXv36t1335XT6dSqVavUunXrqjytGqsyrnfz5s1lMpnUtWtXNWrUSOnp6Vq2bJk2btyopk2batmyZWrWrFlVn1qNVHINvV6v7r///oPOXLj88st1+umnl9qfe7xiKut6c4+XzbBhwzR79mz16dNHzZo1k8fj0bZt2/Sf//xH2dnZuuqqqzR//vxwuST399GrrGvOPQ4AAFB78cigSrJixQq98cYbpbatXLkyXLrRvHnzcEByOLNmzVK7du00a9YszZw5U16vV5dccokmT57Mb9b3UxnX++6779bChQuVkJCg5ORkWa1WnXzyyXr00Uc1YsQIRUVFHavh1zpbt26VJGVnZ2vy5MkH3ad58+bhgORwuMePrLKuN/d42Vx99dXKyMjQmjVrtGzZMuXm5io6Olrdu3fXzTffrOuvv14mk6lMfXF/l01lXXPucQAAgNqLGVIAAAAAAACoUqwhBQAAAAAAgCpFIAUAAAAAAIAqRSAFAAAAAACAKkUgBQAAAAAAgCpFIAUAAAAAAIAqRSAFAAAAAACAKkUgBQAAAAAAgCpFIAUAAAAAAIAqRSAFAAAAAACAKkUgBQAAAAAAgCpFIAUANcSUKVNkMpnCL7PZrPr16+ucc87R559/Xt3DAwAAAIBKY63uAQAAiq1atUput1sPPPCAJKmoqEhbtmzRBx98oOXLl+u7775Tu3btqnmUAAAAAHD0CKQAoAYwDEOrV6/WGWecoUmTJpVqmz59uh5++GEtX76cQAoAAABAnUDJHgDUABs2bFBqaqo6d+58QJvb7ZYkxcXFVfWwAAAAAOCYIJACgBpg5cqVkqROnTqV2h4KhbRgwQL5/X6df/751TE0AAAAAKh0BFIAUAOsWrVKksIzpJKTk7VixQpdccUVWr58uebMmSO/31+dQwQAAACASmMyDMOo7kEAwPGuZcuW+v333w/aNnfuXA0YMKCKRwQAAAAAxw6BFABUs+TkZMXFxal169bq27evDMNQdna2Nm/erJUrV8pms2n58uXq2LFjdQ8VAAAAACoFT9kDgGpWUq43ePBgPfDAA6Xa5s+fr+uuu06zZs3SK6+8Uh3DAwAAAIBKxxpSAFDNShY079GjxwFtffr0kSTl5eVV6ZgAAAAA4FgikAKAarZq1Sr5fD516NDhgLZly5ZJOvDpewAAAABQm7GGFABUo4KCAkVERKhXr15auHBhqbZVq1bpqquuktVq1fr16+Xz+applAAAAABQuVhDCgCq0ffff6/8/HxlZGRozJgxkqSUlBStW7dOy5cvV+PGjfX5558TRgEAAACoUwikAKAalawftWbNGq1Zs0aS5HQ6deKJJ+rRRx/ViBEjFBUVVZ1DBAAAAIBKR8keAAAAAAAAqhSLmgMAAAAAAKBKEUgBAAAAAACgShFIAQAAAAAAoEoRSAEAAAAAAKBKEUgBAAAAAACgShFIAQAAAAAAoEoRSAEAAAAAAKBKEUgBAAAAAACgShFIAQAAAAAAoEoRSAEAAAAAAKBKEUgBAAAAAACgShFIAQAAAAAAoEoRSAEAAAAAAKBK/T9Fi8Sn3yuSWQAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 1200x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "d=ufloat(0.14,0.0004)\n",
+    "G=1 # in cm\n",
+    "nullpunkt=ufloat(0.5,0.0005)\n",
+    "g=np.array([ufloat(x,0.001) for x in [0.28,0.3,0.32,0.34,0.36]])-nullpunkt\n",
+    "b=np.array([ufloat(x,0.005) for x in [0.66,0.688,0.731,0.804,0.978]])-nullpunkt\n",
+    "B=np.array([ufloat(x,0.002) for x in [1.1,1.3,1.7,2.3,3.75]]) # in cm\n",
+    "Beta = B / G\n",
+    "\n",
+    "# Extract nominal values and uncertainties\n",
+    "g_nominal = np.array([val.nominal_value for val in g])\n",
+    "g_stddev = np.array([val.std_dev for val in g])\n",
+    "b_nominal = np.array([val.nominal_value for val in b])\n",
+    "b_stddev = np.array([val.std_dev for val in b])\n",
+    "Beta_nominal = np.array([val.nominal_value for val in Beta])\n",
+    "Beta_stddev = np.array([val.std_dev for val in Beta])\n",
+    "\n",
+    "# Fill XYContainer\n",
+    "xy_data = XYContainer(x_data=Beta_nominal, y_data=g_nominal)\n",
+    "xy_data.add_error(axis=\"x\", err_val=0.002)\n",
+    "xy_data.add_error(axis=\"y\", err_val=0.001)\n",
+    "xy_data.label = \"Data\"\n",
+    "\n",
+    "# Define model function\n",
+    "def Abbe(x, hx=1, f=1):\n",
+    "    return f*(1+1/x)+hx\n",
+    "\n",
+    "# Declare and perform the fit\n",
+    "fit = Fit(xy_data, model_function=Abbe)\n",
+    "results = fit.do_fit()\n",
+    "\n",
+    "# Plot the result\n",
+    "plot = Plot(fit_objects=fit)\n",
+    "plot.customize(\"model_line\", \"label\", [(0, r\"Abbe Modelfunktion\")])\n",
+    "plot.customize(\"model_line\", \"color\", [(0, \"darkblue\")])\n",
+    "plot.customize(\"model_line\", \"linestyle\", [(0, \"solid\")])\n",
+    "plot.customize(\"model_error_band\", \"label\", [(0, r\"$\\pm1\\sigma$\")])\n",
+    "plot.customize(\"model_error_band\", \"color\", [(0, \"lightsteelblue\")])\n",
+    "plot.x_label = r\"$B$\"\n",
+    "plot.y_label = r\"$g\\,(\\mathrm{m})$\"\n",
+    "plot.plot()\n",
+    "\n",
+    "# Show plot in notebook\n",
+    "plot.show()\n",
+    "\n",
+    "# Fill XYContainer\n",
+    "xy_data = XYContainer(x_data=Beta_nominal, y_data=b_nominal)\n",
+    "xy_data.add_error(axis=\"x\", err_val=0.002)\n",
+    "xy_data.add_error(axis=\"y\", err_val=0.005)\n",
+    "xy_data.label = \"Data\"\n",
+    "\n",
+    "# Define model function\n",
+    "def Abbe(x, hx=1, f=1):\n",
+    "    return f*(1+x)+hx\n",
+    "\n",
+    "# Declare and perform the fit\n",
+    "fit = Fit(xy_data, model_function=Abbe)\n",
+    "results = fit.do_fit()\n",
+    "\n",
+    "# Plot the result\n",
+    "plot = Plot(fit_objects=fit)\n",
+    "plot.customize(\"model_line\", \"label\", [(0, r\"Abbe Modelfunktion\")])\n",
+    "plot.customize(\"model_line\", \"color\", [(0, \"darkblue\")])\n",
+    "plot.customize(\"model_line\", \"linestyle\", [(0, \"solid\")])\n",
+    "plot.customize(\"model_error_band\", \"label\", [(0, r\"$\\pm1\\sigma$\")])\n",
+    "plot.customize(\"model_error_band\", \"color\", [(0, \"lightsteelblue\")])\n",
+    "plot.x_label = r\"$B$\"\n",
+    "plot.y_label = r\"$b\\,(\\mathrm{m})$\"\n",
+    "plot.plot()\n",
+    "\n",
+    "# Show plot in notebook\n",
+    "plot.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "b8df3270-7e8c-41b7-8267-27877e9d3c94",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "12.13+/-0.15\n"
+     ]
+    }
+   ],
+   "source": [
+    "f1=ufloat(11.94,0.23)\n",
+    "f2=ufloat(12.33,0.20)\n",
+    "f=(f1+f2)/2\n",
+    "\n",
+    "print(f)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "a11aca71-32c3-45d4-81e7-947c120cb312",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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NVE5wYDLqizU2ea4QQgghxNlAVkgJIYQQQvyLy6uRmubCHwifohcIKhxWE1azAZ1Oh98XZNSIFXz68dH9omqeF8MbE9pT98J4Zo7N359fC5Lj0dAB0Q4zZqOBxBgrCdHWSHBLCCGEEOJcIwEpIYQQQgjCKXUZ2T4OZXki+0XpdBDjMEdWMe3elc3gBxawfm1apF2Xbufx4sgrcEQVPBnP5dXw+AKYjeHVVWaTgeQEO3bruZeiJ4QQQgjxbxKQEkIIIcQ5LxgMsS/DTY7bj8cXwO0LYDIacNpM6PXhVUw/zdnBs48vJifbD4DZYuCZIc25uVfdQlc6KQUeXyCyusppN1Mp3o7RULwUPSGEEEKIs5EEpIQQQghxTvP6A+xNc+HzB4/s8xTCbjFhsxxJ0fMHGTNyJZ98uCHSpnrNaMa+3Y6LGiQW7FAd/T8xDgtmk56kWBtxURZJ0RNCCCGEOEICUkIIIYQ4Z2Xm+jhw2I1fC5Hj8aMURNvDqXUAe3fnMPjBBaxdcyjSpnPXWrz0aiuinPlT9JRSuLwBOt3ZD7/HRWxcLHarkeQEBzaLPHIJIYQQQvybPB0JIYQQ4pwTCikOHHaT5fLj9QfI9WgYDXqcDjOGIyl6v8zbyTOPLiL7SIqeyaznqeebcdudFxZY6RQIhshxawRDipvuexCr2Ui0w0zFOHukPyGEEEIIcZQEpIQQQghxTvEHguw95IoEonxaEKvZiMNqRKfToWkhXn9lJR99sD7Splp1J2MntKf+xflT9JRS+LQgLk8AvV5HbJQZk9FApTgb0Q6zpOgJIYQQQhyDBKSEEEIIcc7IcfvZl+FG04JkuzVCSuG0mbGYwyl6qXtzGfzAfP7842iKXsdrajJ8VGuc0flT9EJKkevR8P8roGU1G0lOdGA5kvInhBBCCCEKJ8e8CCGEEOKsp5TiUKaHvWkuPL4Ama5wGl6M42gwKuWXXdzQZWYkGGUy6Xl2aHPeeKd9gWCUFgiRmetDC4Rw2s1E2UzEO63UqOSUYNQ5SKfTceWVVxa5fp8+fdDpdOzYseOUjelMkJKSgk6nY+jQoSfVT82aNalZs2aB8tTUVO644w6qVKmCXq8/bSsWd+zYgU6no0+fPuWqLyGEKG9khZQQQgghzmqBYIjUdBcuj4bbF8DjC2A2GYiymdAfSdEbN2YVk95dF2lTpWoUr7/dnoaNk/L1pZTC4w/i9gYwGnQ4HSbMRgOV4u047eb/Xlqc4e666y4++eQTKlasyJ49ezAaz/xH57ygjNVqZd++fcTGxhaok56eTnJyMn6/H4vFgtfrPc2jLB19+vTh559/plevXtSuXbvcptDmBdPO9QClEOLcc+b/qyqEEEIIcQxuX4DUNBd+LUiO248WVDisJqxmAzqdjv37XDz64AJWrzoQadOhY3VGjGlDTIwlX1+hkCLHo6EFgtgsRuwWI3arieQEByajLDo/22RnZ/P111+j0+k4cOAAP/74I927dy/rYZUKo9GI1+tl2rRpDBgwoMD7n3zyCX6//4wOwPn9fn755Rc6duzI1KlTy3o4JValShU2btxITExMWQ9FCCFKnTw9CSGEEOKso5QiI9vL7gM5eHwambk+giFFjMOMzRLevHzRgt30uOabSDDKaNTx5PPNePO9qwoEo/yBYLiPYIhohxmH1URijI3qFaIkGHWW+uyzz3C73Tz66KPodDomTZpU1kMqNbVr16ZOnTp8+OGHhb4/efJkGjZsSJUqVU7zyErP/v37CYVCVKpUqayHclJMJhP16tWjcuXKZT0UIYQodeX+CWrlypV06dKFuLg4HA4Hl19+OdOmTSty+5SUFHr16sWFF15IbGwsdrudunXrcs899/D3338X2qZmzZrodLpCX/fff39pTU0IIYQQp0AwpEhNd3Ew04PLFyDL5cdg0BMbZcFk1BMIhBg7ahX39ZlH5mEfAJWrOPjky2vpc2+DfGk9SilcXo1slxbpw24xUa1CFEmxtnKbAiRO3qRJkzCbzTz99NNcccUVzJo1i3379h23ze7du7nllltISEjA4XBw5ZVX8ttvvx2zfjAYZOTIkZx//vlYrVYuuOACRo8eTSgUKrT+okWLuO6660hMTMRisXDBBRfw3HPP4Xa7iz2/Pn368Pvvv7N27dp85atWrWLt2rXcfffdx2wbCAQYO3YsjRo1wmazERMTQ7t27fjxxx8Lre/xeHjqqaeoVq0aVquVBg0a8P777x93fNu3b+fee++levXqWCwWKleuTJ8+fdi5c+cJ53bllVdSo0YNAD7++OPIc3zeXlVXXnnlMf+3W9j+Xh999BE6nY6PPvqIX375hVatWuFwOEhISKB3796kp6efcEwAPp+Pnj17otPpeP755yP7Q+3cuZOdO3fm+5sjb6zH20Nq165d9O3blypVqmA2m6latSp9+/Zl9+7dhd4TnU5HIBDgpZdeolatWlgsFurUqcOECROKNH4hhCht5XodbkpKCp06dcJsNnPrrbcSExPDjBkzuP3229mxYwfPPPPMCfv4+eefWbJkCc2aNYv0tXHjRqZMmcK0adOYPXs27dq1K9AuJiaGQYMGFSi/7LLLSmNqQgghhDgFfP4ge9Ny8WpBct0a/n+l1+l0Og7sd/HoQwv4fcXRFL12V1Xn5dfaEBubf1VUMBQix60RCIawW03YzAaibGYqJ9gxGsr9d3riJKxbt46VK1fSo0cP4uPjueuuu1iyZAkff/wxTz31VKFtDh8+zBVXXEHlypX53//+x969e/niiy9o164dc+fOLXTT80GDBrFs2TJuvvlmrFYrM2bM4IknnmDLli1MnDgxX913332XAQMGEBcXx3XXXUdSUhIrV65kxIgRLFiwgAULFmA2F30fs969e/P8888zefJkxo4dGyn/8MMPMZvN3HHHHbzxxhsF2imluOWWW5gxYwZ16tThgQcewOVyMX36dK699lrGjRvHww8/HKkfCoXo1q0bP//8MxdffDG9evUiPT2dRx55pNBncIDly5fTqVMnXC4X1113Heeffz47duzg008/Zfbs2SxdupTzzjvvmHPr06cPjRs3Zty4cTRq1Ijrr78eoFgbzxfm+++/54cffuC6666jf//+LFq0iClTprB161aWLFly3LbZ2dl0796dhQsXMn78eB566CEyMzMZMmRI5D7/+2+PE4118+bNtGrVioMHD3LddddRv359NmzYwIcffsgPP/zAr7/+yvnnn1+g3W233cby5cu55pprMBgMTJ8+nQceeACTyUS/fv2Ke0uEEOLkqHJK0zRVu3ZtZbFY1OrVqyPl2dnZqn79+spoNKp//vnnhP14PJ5Cy3/++WcFqMsuu6zAezVq1FA1atQo8dj/KysrSwEqKyur1PoUQgghRH6ZuT61addhtW5bmvptfapasi5V/bnlkNq4M0Nt3JmhPvhkrYpPeFPBaAWjlcEwRj3+zEL11470SJ2815oth9SSdanq1/Wpau3WNLVpZ4ZKz/KoUChU1tOU54rTYODAgQpQM2bMUEoplZmZqaxWq7rgggsKrQ8oQN155535/htJSUlROp1OnX/++SoYDEbKe/furQBVsWJFtXfv3kh5Tk6OuvjiixWgFi1aFCnfsGGDMhqNqkmTJio9PT3ftUeOHKkANWbMmCLNDVB169ZVSinVpUsXlZiYqPx+v1Iq/NwcGxurevbsqZQKPxNbLJZ87adMmaIA1bZtW+Xz+SLlu3fvVhUqVFAmk0lt27YtUj558mQFqM6dO6tAIBApX7t2rTKbzQpQQ4YMiZT7/X5Vs2ZN5XQ61Zo1a/Jde/HixcpgMKhrr702X3lhz+7bt29XgOrdu3eBe9C2bVt1rD+D8j6b7du3F5iD0WhUS5YsiZQHAgF15ZVXKkAtXbr0mNfev3+/aty4sTKbzeqzzz4rcM3j/e1xrHm0b99eAWrixIn5yidOnKgA1aFDh0Ln3KxZs3y/OzZt2qSMRmPkvwkhhDidyu3Xe/Pnz2fr1q306tWLJk2aRMqdTifPP/88gUCAyZMnn7Afq9VaaHmHDh2Ii4tjy5YtpTZmIYQQQpx+IaXYn+FmX7rryH5RfnQ6HbEOM2aTgWAwxLgxv9PvrrlkpIdPC6tU2cEn07tyz30XF0jRy/Vo5Lj9mIxHUvSsRqpXdBIfbZUUvXOA3+9n6tSpxMXF0bVrVyC8cr579+5s3ryZRYsWFdrOYDAwYsSIfP+NtG3bli5durBly5ZCU/cefvhhkpOTIz9HRUXxwgsvAOFUszwTJ04kEAgwfvx44uPj8/XxxBNPkJSUxGeffVbsud5zzz2kpaXx3XffAfD111+TmZnJPffcc8w2H330EQCjRo3KtyKratWqPPLII2iaxqeffhopnzJlCgAjRozAYDBEyi+++GLuvPPOAv3/8MMP7NixgyeeeIJGjRrle69Vq1Z0796dWbNmkZ2dXez5nqxevXpxxRVXRH42GAz07t0bCG8zUpitW7fSsmVLtmzZwg8//MCtt9560uPYvXs38+fP56KLLiqwqqlfv35ceOGF/PLLL4Wm7o0cOZLo6OjIz3Xr1uWKK67g77//Jicn56THJoQQxVFuU/ZSUlIA6NixY4H38soWLlxY4v6XLl3K4cOHadWqVaHv+3w+Pv74Y/bu3UtcXBwtW7Ys8I+iEEIIIcqWFgiyN82FxxfA5Q3g9QewmI1EWcMpegcPuHn84RRWLDu690/rK6vy6ti2xMXn/9IqEAyR49EIBhVRNhNWsxGn3UyleBsGfbn9Du+0uuyyT9i/31XWwziuSpUcrFpVMNBRVDNnziQ9PZ37778/X8Dlrrvu4osvvuDDDz+kTZs2BdrVqFGDatWqFShv3bo1P/74I2vWrCnw3Nm6detC6wOsWbMmUrZs2TIA5syZw88//1ygjclkYtOmTUWb4L9069aNxMREPvzwQ3r27MmHH35IcnIynTp1OmabP/74A5vNxuWXX17gvbw0s3+P/c8//8Rut3PJJZcUqN+6desCm8XnzXXTpk2RfZT+LW+z8n/++ee0b6VR2ByqVq0KQGZmZoH3Nm3axBVXXEEwGGT+/Pk0bdq0VMbxxx9/AOGA53+D5DqdjjZt2rBx40b+/PPPAv9NnmgOTqezVMYohBBFUW4DUps3bwbgggsuKPBeXFwciYmJkTpFkZKSQkpKCj6fj82bN/PDDz+QmJiYL2f+3/bv319g88DOnTvzySefkJiYWPSJCCGEEOKUyPVo7Et34Q8EyXHnDyQBLF2SyhODUkg75AHAYNAx8LFL6Xt/Q/T6/KuifFoQlzeAXqcjNsqMyWigYpyNGIdZVkX9y/79LvbuzS3rYZxSeSfP/Xf1TqdOnahUqRJffvkl48ePz7fKBKBChQqF9lexYkUAsrKyCrxXWJsKFSqg1+vz1c/IyADCq4xKk8lk4vbbb+ett97it99+Y8GCBTz55JP5VjL9V3Z2dqGBNyByot2/x56VlXXM+nn35t/y5vrvVVaFcblOf2A0JiamQJnRGP59EwwGC7z3zz//RL4Ar1+/fqmNI291WGH3Dwr/HPIUdw5CCHEqlduAVN4v0MJ+aQJER0ezZ8+eIveXkpLCsGHDIj+ff/75fP7551x66aUF6t5zzz20bduW+vXrY7FY+Ouvvxg2bBizZ8+mW7du/Prrr8d9OPX5fPh8vsjPZbGkWAghhDhbKaVIz/aSluXFrwXJ8WjodTpioswYDXqCwRDvvrmGt9/4A6XCbSpUtPPaW+247PL8R8CHlMLl0fBpQSwmQySglZzgwGI+9h/l56pKlRxlPYQTOpkx7t69m59++gkgX2rWf33++ef873//y1d28ODBQuseOBDeQL+wZ9qDBw9St27dAmWhUChf/bzgV3Z2dqmvYOnbty/jxo3j5ptvRil13HS9vLHkzem/8sr/HayLiYk54b35b/8Q3kD82muvLdIcikt/ZMVjIBCIBGPyFBbEKalu3bpRq1Ythg4dyrXXXssPP/yA3W4/6X7z7lFxPgchhCiPym1AqrQNHTqUoUOH4nK5+Ouvv3jxxRe54oor+PDDD+nVq1e+unm5+3maNWvGDz/8QNu2bVmyZAmzZs2K7ClQmJEjR+YLfgkhhBCidASCIfalu8n1+HH7Anh8AczGcCBJr9eRdsjD4wNTWPZraqRNq7ZVeHVsW+ITbPn60gIhcj0aIaVw2sxYzAZioyxUiLXlW0EljjqZVLgzweTJkwmFQrRq1apAoAjC+0t98sknTJo0qUBAaufOnezevbvAaqDFixcD0Lhx4wL9LV68uEDaXmH1mzVrxurVq1m2bBlXX311SaZ2TBdffDGXXnopv//+O61atSo0O+HfmjRpwvz581mxYkWBtL287TT+PfZGjRqxYMECVq9eXSBdLG+u/9asWTMgvL3GqQpIxcXFAbB3715q1KgRKQ+FQvz555+leq0hQ4ag1+t54YUX6Nq1Kz/++GOBoJTBYMDv9xe5z7z7u2jRIpRSBfbBO95/c0IIUZ6U2w0R8r4VOta3FNnZ2cdcPXU8DoeDpk2b8s0331CvXj3+97//cejQoRO20+v13H333QD8+uuvx6379NNPk5WVFXkVtqGgEEIIIYrH4wuwc38OOW4/2W4/Hl8Qu9WE0x4ORq1Yuo8e13wTCUbp9eEUvYkfdcoXjFJK4fEFyHL50ekgNsqMzWokOdFBpXi7BKPOUUopJk+ejE6nY8qUKXzwwQcFXlOmTKFJkyasWLGC9evX52sfDAZ59tlnUXnL8ggHaGbNmsX5559Py5YtC1xz/PjxpKYeDZ7m5uby4osvAuE9q/IMGDAAo9HIQw89VOhzZWZmZmRfoZL4+OOP+eabb3j//fdPWDdvE++nn34aTdMi5Xv37uX111/HaDRy++23R8rzUh+fffbZfClh69at45NPPinQf/fu3alevTqvv/56oRvIa5rGkiVLij65QuTtPZW3QXue119/ne3bt59U34V5/vnneemll0hJSaFLly4F0g3j4+NJS0vD6/UWqb/q1avTrl07NmzYEEkxzfPhhx+yYcMG2rdvf8xUSSGEKC/K7QqpvG9nNm/eXCCt7vDhw6SlpRX6D3tRGY1G2rVrx59//smqVau45pprTtgmb+8ot9t93HoWiwWLxVLisQkhhBDiKKUUmbl+Dma68WshctzhlQTRDhNmo4FQSPHum3/w1tg/CIXCwYCkCnbGvHkllzevnK+vUCh8ip4/EMRmNmK3GrFbTFROtGM2SoreueyXX35hx44dtGvXjlq1ah2z3t13380ff/zBpEmT8u1F2rBhQ1JSUmjevDnt27cnNTWVzz//HJPJxPvvvx9JE/u3pk2b0qhRI2655RYsFgszZsxgx44d9OvXL9/G6Q0aNGDChAn079+funXr0qVLF2rXrk12djbbtm1j4cKF9OnTh3fffbdEc69fv36R9zi68847mTFjBt9++y0NGzbk2muvxeVyMX36dNLT03nttdc477zzIvV79+7NtGnTmDNnDk2aNOGaa64hIyODzz77jI4dO/LDDz/k699isfDVV19xzTXX0LZtWzp06ECDBg0A2LVrF4sXLyYhIaFEm7jnufvuuxk1ahRDhw5lzZo11K5dm1WrVrF+/Xratm17UgcnHctzzz2HXq/n2WefpUuXLsyaNQuHI5xe2r59e1atWsV1111H69atMZvNtGrV6piHLwG88847tGrVin79+vH9999z0UUX8ddff/Hdd9+RlJTEO++8U+pzEEKI0lZuV0i1bdsWgHnz5hV4L68sr05J5X0j9d/c8WNZvnw5ADVr1jyp6wohhBCiaEIhxb4MNwcOu3F7A2S5fBj0OmKiLJiNBjLSPfyv91zGv7Y6Eoxq0SqZGbOuLxCM8geCZOb60IIhou1mHDYTCTE2qleMkmCUiJz2dqI9lHr16oXZbGbq1Kn50qzi4uJYsmQJNWrUYOLEiXz55Zc0b96c+fPnR06f+6833niDwYMHM3v2bN566y0MBgOvvvpqocGEfv36sXTpUrp3787SpUsZO3YsX331FWlpaTzyyCMMGjSoxHMvDp1Ox1dffcWYMWMwmUy8+eabTJ06lQYNGvDtt98yePDgfPX1ej3ffvstTzzxBBkZGYwbN47ffvuN119/nUcffbTQazRt2pQ///yTgQMHsmvXLt59910mT57Mpk2buP7665kwYcJJzaFSpUrMnz+fDh06MG/ePN5//31iY2NZtmzZKX3Of+aZZ3j55ZdZtGgR11xzDbm54QMCnn/+efr168eGDRsYNmwYTz/9dKGnKf5b3bp1WbVqFX369GHFihWMHj2aFStW0KdPH1auXEmdOnVO2TyEEKK06NS/1xWXI4FAgLp167J3716WLVsWyYHOycmhRYsW/P3332zYsCHyyzYtLY20tDQSExPznYK3aNEiWrduXWAT8nnz5nHttddit9vZu3dv5BuKv/76i+TkZGJjY/PVX7JkCVdffTVKKf755x+qV69e5LnkpRdmZWXJ5oJCCCFEEfm0IKlpLrz+ALlHNh7PW9Wk0+lYtWI/jz64gIMHwiuXdTp44JFLuP/BRhgMR79zy0vRc/uCmIw6omxmzEY9lRMcRNlMZTW9EpPnCiGEEEKcDcptyp7RaOSDDz6gU6dOtG7dmttuu43o6GhmzJjB9u3bGT58eL7I/1tvvcWwYcMYMmQIQ4cOjZR369aNxMREmjZtSrVq1fB4PKxdu5ZFixZhMpn44IMPIsEogOnTpzNq1Cg6dOhAzZo1sVgsrF+/nnnz5qHX63n33XeLFYwSQgghRPFlu/3sT3fjDwTJcR/ZeNxuxmIKp+i9P+FPxr/2O8Fg+Hu1xCQbo8ddSfMrkvP1Ewwpct1+tGAIu8WIzWLEYTORnODAaCi3C8WFEEIIIc565TYgBdCuXTuWLFnCkCFDmD59On6/n/r16/PSSy/l2yzxeIYNG8acOXNYsmQJhw4dQqfTUa1aNe69914GDRpUIF++Xbt2bNy4kdWrV7Nw4UK8Xi8VK1bklltu4ZFHHilwmogQQgghSo9SioOZHg7n+PD5g+R6NPR6HTEOM0aDnsMZXp58ZCGLU/ZE2jRrUZnR468kqUL+k6v8WpAcj4YOiHFYMBv1JMbYiI+2FFg5LYQQQgghTq9ym7J3NpGl9UIIIcSJaYEQqeku3F4NlzeA1x/AYjIQZTOh0+lYvfIAjz60gP37widU6XTQ/+EmDBjYuECKXl57szHc3mIykJzowGYp19/FFYk8VwghhBDibHDmP5UJIYQQ4ozn8mqkprnwB8Kn6AWCCofVhNVsQCmYNHEtb4xaFUnRi0+wMmrclVzRukq+foLBEDkejUAwhMNqwmYx4rSZqBRvzxe0EkIIIYQQZUsCUkIIIYQoM0opMrJ9HMryRPaL0ukgxmHGZNRz+LCXpwcvYuH83ZE2lzWrxGtvXkmFio58fXn9QVxeDb0OYqMsmIx6KsTaiY0yS4qeEEIIIUQ5IwEpIYQQQpSJYDDEvgw3OW7/kVPwApiMBpw2E3q9jjWrDzL4gfnsS3VF2tz3YCMefOQSjMb8KXp5p/DlpfhZzEaSExxYzYaymJoQQgghhDgBCUgJIYQQ4rTz+gPsTXPh84c3HtcCIewWEzZLOID00fvreO2VlQQC4RS9uHgro95oS6u2VfP1EwiGwqfwhRRRNhNWs5EYh5mKcXb0elkVJYQQQghRXklASgghhBCnVWaujwOH3fi1EDkeP0pBtN2E2WQgK8vHs48t4pd5uyL1L21akTFvtqNS5aMpekqpIyl6AYwGHbFRZkxGAxXj7cQ4zGUxLSGEEEIIUQwSkBJCCCHEaREKKQ4cdpPlCqfoubwaRoMep8OMQa9j7ZpDPPLAfFL35Eba3Nu/IQMfuzRfil4opMj1avi1IFazEYfViM0STtEzmyRFTwghhBDiTCABKSGEEEKccn4tyN40F15/ILLfU14wCWDKh+sZ8/JKNC0EQEyshVdeb8OVHarn60cLHF1V5bSbsZgMxDktJMXa0MvG5UIIIYQQZwwJSAkhhBDilMpx+9mX4UbTgmS7NUJK4bSZsZgNZGf5eO6JJfw0Z0ekfuNLKvDaW+1IrhIVKVNK4fEFcfvCKXpOhxmzUU/lBAdRNlMZzEoIIYQQQpwMCUgJIYQQ4pRQSnEoy0tGthefFiTXo6HX6YhxmDEa9Kxfe4hHBixgz+6cSJt7/ncxg564DJMpf4peeOPzIDaLEbvFiN1qIjnBgelfqXxCCCGEEOLMIQEpIYQQQpS6QDBEapoLl1fD7Q3g8QewmAw4bCZ0wKcf/cWrI5aj+Y+k6MWYGfl6W9pdlT9Fz38kkAUQ7TBjNhpIjLGSEG1FJyl6QgghhBBnLAlICSGEEKJUub0aqelufFqQHLefQFDhsJqwmg3k5mi88NQS5vy4PVK/YeMkXn+7HVWqOiNlSincvgAeXwCT0YDTFj6FLznBjt0qKXpCCCGEEGc6CUgJIYQQolQopTic4+NQpgd/IEiOO7yyKcZhxmTU89f6NB4ZMJ9dO4+m6PXuW5/BTzXFbD56Ol4wFCLHrREIhiKBLKfdTKV4O0aDpOiVpR37swkEVVkP47iMBh01K0WX6Rh2795NtWrVynQMQgghRHknASkhhBBCnLRgKMT+dDfZbj8efxC3V4usbNLp4POpGxn54nL8viAAzmgzL49pzVWdaubrx+cPkuvV0OkgxmHBbNKTFGMjzmmRFL1yIBBUeHwaWiBU1kMplMmox2YpuxV0GzZs4IUXXuCPP/5g27ZtZTYOIYQQ4kwgASkhhBBCnBSvP8jetNzwxuVuDf+/Nh93uzReePpXZn139I/zBg0TGft2e6pWz5+i5/IG8P5rrymLyUByggObRR5XyhMtEMLtC6IvZ4vVQiGwAzZL2Vy/f//+vPfeexiNRipXrlw2gxBCCCHOIPKEJ4QQQogSy3L52J/hQQsEyXb7UQqi7WbMJgOb/kpn0ID57NyeHal/R5+LePyZyzFbjqboBYLhFL1gSBFlM2E1G4m2m6kYb8egl1VR5ZFeD/FOa1kPI5+MHO8p6/vnn3/m0ksvJS4u7ph10tPTmT17NtOmTSMlJeWUjUUIIYQ4W5Sz77aEEEIIcSYIKcX+DDf70t14fBqZuT70Oh2xUeH9oqZ/tolbr/8+EoyKcpp4Y0J7nh3WIhKMUkrh9QfIyvUDEBtlxmYxUSneTuUECUaJ8uPqq6/mzz//PG6d6dOn07Fjx9M0IiGEEOLMJyukhBBCCFEs/kCQ1DQXHl+AXI+GTwtiNRtxWI243QGGPfMr38/cGql/UYMExk5oT/UaRzeaDimF6z9trWYjyYkOLCZDYZcV4qxx4MABRo8ezTfffMOOHTsIhfLvyWUwGMjMzCQqKqqMRiiEEEKcehKQEkIIIUSR5Xo09qW78AeCZLs0Qupomt0/mzIYNGA+27dmRerfdueFPPnc5VisRx85tECIXE+4rdNuxmIyEBtloUKsDb2sihJnuaVLl9KtWzdq167NAw88wI8//sj8+fOpV68ejz76KABOp1OCUUIIIc56EpASQgghxAkppUjL8pKe7Q1vXu7R0Ot0xDjMGPQ6vv7iH4a/8Bteb/gUPUeUiRdfaUWX687L14fXH8TlDWA06Ih1mDEZDVSKtxNtN5fV1ISIUErhcrkKfc/j8ZCbm5uvzGq1YjQW/XH64MGDdO/ena5duzJ58mR0Oh0DBw6kZ8+efPvtt9SuXZt27dqd1ByEEEKIM4XsISWEEEKI4woEQ+w+lEtalgeXVyPH7cdk1BMTZcbvC/L0o4t47onFkWDUhRfF89UP3fMFo0IhRY5bw+XVsFkMxDjMRFnN1KrklGCUKDd27tyJ0+ks8ALo0qVLgfKpU6cWq/9XX32VYDDIG2+8gU4XXg1oMBh49dVXAZg7d27pTkgIIYQox2SFlBBCCCGOyeMLsDfNhV8LkuPxowUUDqsJq9nA1s2ZDBown62bMyP1b7m9Hk+/0Cxfip4/ECTXraE4egJffLSVpBhr5I9yIcqDypUrs3jx4gLlrVu3Zvz48TRp0iRfeZ06dYrV/7Rp0+jcuTOxsbEFrgtgsViKN2AhhBDiDCYBKSGEEEIUoJTicK6PQ4c9+AMhctzhk/BiHOFT9GZ+vZkXn/0NjycAgN1u5MVXWtG1e+18fXh8Ady+ICajjiibGbNRT3KCA4fNVCbzEuJ4LBYLrVq1KvS9iy+++JjvFUVaWhr79++nZs2aBd5bunQpED7NTwghhDhXSEBKCCGEEPkEQ4r9GW5y3H48vgAur4bJoMdpN+PzBRn69K/MmP5PpH6denG8MaE9tWrH5usj1+1HC4awW4zYLEaibCYqJzgwGmTHAHHucTgc6PV6NmzYkK/c6/Xy5JNP0rZt25MKeAkhhBBnGglICSGEECLC5w+yN92F1x8g16Ph14LYLEbsFiPbt2YxaMB8Nv99OFK/5y11eHZYC2y2f6XoaUFyPBo6IMZhwWzUkxhrI95pkRQ9cUYyGAwn/d+uzWajQ4cOfPfddwwZMoTOnTuzd+9eXn31VdLT0/n2229LabRCCCHEmUECUkIIIYQAIMvlZ3+GGy0QJMftJ6TAaTdjMRn4/pstDH3mV9zucIqezWZkyMst6X7DBZH2Silc3gBefwCz0UCUzYTFbCA5wYHNIo8cZ5NQCDJyvGU9jHxCodLoI0R2dnaB8rS0NAAyMzPzldvtdszmom/KP2nSJO68805efPFFXnzxRaxWKzfeeCPfffddZB8pIYQQ4lyhU0qpsh7E2S47O5uYmBiysrKIjo4u6+EIIYQQ+YSU4uBhD5m5viMrowIYDTqcNhOaFuLlocv48rO/I/XPrxPLGxM6UPuC2EhZMBgix6MRCIZwWE3YLEacNhOV4u0YJEWvVJXlc8WWvVl4fBpaoBSiP6eAyajHZjFxfpWYErXfsWMHtWrVKnL9yZMn06dPn2JfJz09nfT0dKpVq4bNZit2eyGEEOJsIF9XCiGEEOcwLRBkb5rryF5R4dVNFrORKKuRHduzeWTAfP7emBGp3+OmC3juxRbY7Uc3Jff6g7i8GnodxEZZMBn1VIi1ExtllhS9s4zRoMNmMWErx4fBGQ0l/2/uWKfsHUtxT9nLk5CQQEJCQonaCiGEEGcLCUgJIYQQ56hcj8a+dBf+QJAct0YwqIiymbCajfz43VZeeOpX3C4NAKvVwAvDW9LjpqN/gCulyPVo+LQgFlNeip6R5AQ7VrM8YpyNalY6u1d6H++UPSGEEEKULnlaFEIIIc4xSinSsrykZ3sjG5DrdTpioswEtRBDn/2VL6ZuitSvfX4sY99pzwV14iJlgWCIHLdGKHQ0iBXjMFMxzo5eL6uihBBCCCHE8UlASgghhDiHBIIh9qW7yPVouH0BPL6jG5Dv3pXDIwPms3FDeqR+txvO54XhLXE4wil6Sim8/iBubwC9XkdslBmT0UDFeDsxjqJv7iyEEEIIIc5tEpASQgghzhEeX4DUNBc+LUiOx48WUNitJmxmA3Nn7eC5Jxbjyg2n6FksBp57sQU9b6kT2QcqFFLkejX8WhCr2YjDasRmMZKc4MBsMpTl1IQQQgghxBlGAlJCCCHEWU4pRWaun4OZbvxaiBy3H4BohwmCMPyFpUybsjFSv+Z5MbwxoT11L4yPlGmBEDkeP0qB027GYjIQ57SQFGtDLxuXCyGEEEKIYpKAlBBCCHEWC4UU+zPcZLv9R07S0zAZ9DjtZvbuyeGRAQvYsC4tUr9rt/MYNvIKHFHh9DulFJ4jKXpGgw6nw4zZqKdSvB2nXVL0hBBCCCFEyUhASgghhDhL+bQge9Nc+PwBcjzhVDub2YjdauSnOTt57onF5GSHV0uZLQaeHdqcm26rmy9FL8ejoQWC2CxG7BYjdquJ5AQHJqO+LKcmhBBCCCHOcBKQEkIIIc5C2S4/+zPc+APB8Gl4SuG0m9EpGPnicj75cEOkbvWa0bwxoT0X1k+IlPkDQXLd4f2koh1mzEYDCdFWEmOskYCVEEIIIYQQJSUBKSGEEOIsopTiYKaHwzk+fP4guR4tfBqew8z+VBeDH1zA2jWHIvU7X1uLl15pRZTzaIpe3ul7JqMBp82E2WSgcoIdh9VUVtMSQgghhBBnGQlICSGEEGcJLRAiNc2F26fh8gbw+gNYTAaibCbm/7SLZx5dRPaRFD2TWc/TLzTn1jvqRVY8BUMhctwagWAocvpelM1M5QQ7RoOk6AkhhBBCiNIjASkhhBDiLODyaqSmufAHwqfoBYKKKJsJPTpGDV/BRx+sj9StVt3J2AntqX9xYqTMp4VXU+l0EOOwYDbqSYq1Eee0SIqeEEIIIYQodRKQEkIIIc5gSinSs72kZXnxa0FyjgSVYqPMHNzvZvAD8/nzj6Mpeh2vqcnwUa1xRh9N0ctbTWU+sprKYjKQnODAZpHHBCGEEEIIcWrIk6YQQghxhgoEQ+xLd5Pr8Uf2fTIbw0GlhQt28/QjC8nKOpKiZ9LzxLOXc3ufiyIrngLBEDkejWAwhMNqwmYx4rSbqRRvw6CXFD0hhBBCCHHqSEBKCCGEOAN5fAFS01z4tCA5Hj9aQGG3mjDqdLz2yko+nLguUrdK1SjGTmjPxY2SgPCqKJ8WxOUNoNfpiI2yYDLqqRhnJ8ZhlhQ9IYQQQghxysnXn0IIIcQZRCnF4Rwfuw7m4PYFyMz1EQwqoh0mstK99Ll1Vr5gVIdONfh61vWRYFRIKXI9GrkeDbNRT2yUGbvVRM2K0cRGyX5RQpxpsrOzy3oIpS4UCjF8+HCqVq1KXFwcgwYNQtO0sh6WEEKIUiYBKSGEEOIMEQop9mW4OXDYjdsbIMvlQ6/XERNlYdniVG7oMpM/fj8IgNGo46kXmvHmxA7ExFiAcIpeVq4ffyCE02bGaTcT57RSs6ITi9lQllMTolzq0KEDNWrUIBQK5SsPhULk5ubi9XqP276o9UpqwoQJzJ49u1T7PNVjLornn3+eF154gdtvv50mTZrw9ddf4/P5ymw8QgghTg0JSAkhhBBnAJ8WZMeBHLJyfeS4/bi8GjazEYfFyPgxv3Nfn3lkHg7/wVa5ioOpX11L774N0Ol0KKXw+AJk5vrDG547zNisRpITHFSKt6PXy6ooIf7L5XKxaNEi0tPTWb9+fb73Hn74YZxOJw6HgwMHDhyzj6LWK4nHHnsMo9HILbfcUqr9nsoxF8XevXsZPXo0EyZMYPDgwTidTn799VeioqJO+1iEEEKcWhKQEkIIIcq5bLefnftzcHs1MvNWONnN5Gb5ubvXbN57+89I3XZXVWfGrB40alIBCK+qynFruLwaVrOBGIcZh81EzYpOoh3mspqSEOXeihUrqFatGm3atOG3337L995zzz3H4sWLCYVCeDyeY/ZR1HrFNXHiRHbv3s3//ve/Uuszz6kac1F9+umnANx+++1UrFiRhx9+mBdffPG0j0MIIcSpJ5uaCyGEEOWUUoqDmR4O5/jw+YPkerRwip7DzPJfU3li0EIy0sNpNQaDjkefakqffg0i+0BpgRA5Hj9KgdNuxmIyEO+0kBRrk72ihDiBpUuX0rJlS+rWrcvSpUu5//77I+9VqlSJSpUqnbCPotYrjkOHDvHYY4+xatWqUu03z6kYc3HMnTuXSy65BKfTCYTTJp9++mlmzZpFly5dymxcQgghSp+skBJCCCHKIS0QYtfBXDKyveR6NHI8fswmPU6bkbfH/kG/u+ZGglGVKjv4ZHpX7v7fxZEUvfAeU/7IKXp2i5GqSVFUiLNLMEqIIvjtt99o2bIlLVq0KLBC6t8WL15Mhw4dcDgcJCUlMWzYMJRSJaqXnZ3Ngw8+SMWKFYmJieGKK65g3rx5+eq88847VKlShbp16x5zTM2bN8dms5GWlgaE94Xq2bMnMTExjBs3jujoaKZMmXLCe/DTTz/RtGlTrFYr5513XmT1EsDUqVPR6XTodDqMRiMbNmxg9erVGAyGSPlXX311wmvkGTx4MDqdjvnz57N8+XJ0Oh0tW7YE4Nprr+Xll18ucl9CCCHODBKQEkIIIcoZl0djx/5scj0aWS4/Xn+QKJsJT45G39vn8u6ba8j7O7ZNu6rMmH09TS6rCIRT9LLdGm6fhs0STtFz2kzUrBRNlM1UhrMS4syybNkyWrZsSfPmzdm+fTuHDh0qtN6AAQNo164d06dPp3///owYMYKxY8cWu57f76djx44sWrSIUaNG8dlnn9GhQwe6devG/PnzI/VmzpxJo0aNjjv2gQMH4vV6mThxIhDeb+rHH3/k22+/JSkpiZycHHbv3n3Ce/Doo49y0003MXPmTO666y769u1LRkYGAN26dSMlJYV77rmHdu3aUbduXS6++GKuuuoq7rvvPlJSUujUqdMJr5GnTZs2DBgwAID777+fsWPHRlL1GjduzK+//lqkMQshhDhzSMqeEEIIUU4opUjP9pKW5cWvBcnxaOFNyKPMrFy6n8cHLiA97WiK3sDHL6XvfQ0jm5L7tXBaH0CMw4zJaCAxxkpCtFVWRQlRDH///Td+v5+LL74Yg8HAxRdfzNKlS+nWrVuBulOmTKFHjx4AdO3alfPOO4/HHnuM++67D4fDUeR6EyZMwOVysWzZski7Ll26EBUVxciRI2nfvj2aprFu3TquvPLK447/pptu4oknnmDChAnYbDbGjRvH559/HmnXunVrqlatesL78Oabb9K7d28AOnfuzHvvvcfff/9NixYtiI6Opm3btjRv3pxWrVrx888/YzKZSE9P5/vvv8dsLt4edddffz1bt24FYNiwYVSoUCHyXt5Yly5dSrVq1YrVrxBCiPJLVkgJIYQQ5UAgGGLPIReHMj24vRrZbj8mgx6n1cS749fQ947ZkWBUxUp2Pv6iC/36N0KvD6fouY60MRj0xEZZsFlMVK8QRWKM7BclRHEtXbqUyy67DE3T8Hq9NGvWjKVLlxZat0mTJvl+7t27NwaDgT///LNY9WbMmMHGjRtJSEjAarVGXs899xybN28GID09nUAgkC/QVRij0ciAAQNITU3l0UcfZdy4cdx0002R96tVq1ak3wutWrXK97PZbMbn8+Urs1gsfPHFFwwaNIgBAwYwbdq0Ygej8ixatIh69erlC0YBkRP2du7cWaJ+hRBClE+yQkoIIYQoYx5fgNR0Fz5/kByPHy2gsFtMuLL9DOz3C8t+TY3UbdW2Cq+ObUt8gg2AYChEjlsjEAzhsJqwmg047WYqxdsxGuR7JyFK4rfffmPBggXYbLZIWZs2bYrUVqfTUaNGDXbt2hXZA6ko9fbv38/EiRO54oorCtSNjo4GKHRvqmOJi4sD4MILL+TBBx8scrt/MxgMRap33nnn0bJlSzIzM6lTp06JrqWUYsmSJfkCZ3mMxvCfLJqmlahvIYQQ5ZMEpIQQQogyopQiM9fPwUw3fi1EjtsPQLTDxJqVB3n0oQWkHQofu67X63j40UvoN6BRJEXPdyRFT6eDGIcFs0lPUoyNOKdFVkUJcRKWLl3K+PHjadq0KQAHDx7ktttuIxAIRIIjef67YigUCrFt2zaSkpKKVS85OZkDBw5Qr169fPWUUuzZsweAhIQEDAYDLpfruOOfM2cODz30EHXr1mXjxo0sW7aM5s2bF3H2xbdgwQLS09Ox2Wx8+eWXhQaVTmTdunVkZGQUGvjzeMK/BxMSEk56rEIIIcoP+epUCCGEKAOhkGJfhpsDh91HTsTzodfrcNrNTJqwlrt7zY4Eo5Iq2Jn82TXc92DjSIperkcjx+3HZAyn6NmtRqpXcBIv+0UJcVKys7P566+/uPnmm2nevDnNmzenW7duWCyWAml4AJ999lm+n9966y2UUgVWR52o3m233cbo0aNZu3ZtvnrTp0/nmmuuAcIpcw0aNCA1NZVjWbFiBTfeeCMDBgzgu+++Q6fT8dprr+WrEwwGT3AXii49PZ2HH36Yd955h3feeYchQ4ZE9oIqzjUXLVoEFL4S7eDBgwA0aNCgFEYshBCivJAVUkIIIcRp5tOCpKa58PoD5Ho0fFoQm9mIJ1fj/vvn89vio39stmiVzOhxV5KQGE4dCgTDKXrBkCLKZsJqNhJtN1Mx3o5BL4EoIU7G4cOH+eSTT4iOjubQoUNUrBg+vXLbtm1UrVqVzz77jMqVK5OcnBxpM3r0aDweD82bN2f+/PlMmDCB999/P1+6X1Hq3XvvvcycOZOmTZvSv39/WrZsyaFDh3j++ed5++23I/1069aNr7/+utDx//PPP3Tt2pUOHTowduxY9Ho9Xbt25ZtvvmH79u3UqlWLWbNm0aNHD9q0acPs2bMLrPhKTU3ln3/+AcInDYZCIWJiYli3bh1er5c1a9ZQoUIFkpKS2LBhA2PGjKFDhw6Re3L33Xdzyy23MGbMGGrXrk21atXo3LkzixYt4vPPPy90Y3iAhQsXct555xW62Xre3lrNmjU77ucnhBDiDKPEKZeVlaUAlZWVVdZDEUIIUcayXD71967Dat22NPXb+n1qybpUtWbLITVl+gZVoeLbCkYrGK10utHqwcG/qPXb0tTGnRnqrx3p6o/NB9WSdanqt/X71LptaWrTrsPqcI5XhUKhsp6WOI3kueLUefPNNxWgAFW3bt1IeY8ePSLlAwcOjJRXrFhRzZs3T7Vq1UpZLBZ13nnnqQ8++KBAv0Wt5/P51NChQ1XNmjWV1WpVTZo0UV9//XW+Onv27FEWi0Xt3LkzX3lqaqqqWbOmuvTSS5XL5YqUz58/XwHqoYceUkop9fXXXyuz2awAtWrVqgJjGDhwYGSugOrevbsaPXp0vrJGjRqpl19+OfKz2WxW6enpSimlkpKSIuV9+/ZVSinVvn17BaiuXbse895XrFhR9enTp9D3evTooZ577rljthVCCHFm0ilVjN0RRYlkZ2cTExNDVlZWZFNKIYQQ5xalFAczPRzO8eHzh/d+0ut1OKxGPnpvPePG/E4oFP4nOTHJxuhxV9L8ivCKg5BSuI6spLKYDJGVUckJDizmom06LM4e8lwhRo8ezd69e3njjTdK3EevXr147bXXqFy5cukN7DgOHTrESy+9xPjx44vVbuvWrVxzzTWsXr06ctqeEEKIs4PsISWEEEKcYlogxK6DuWRke8N7P3n8mE16lD/Eg31/ZuyoVZFgVLMWlZkx6/pIMCoQDJGV68cfCOG0mXHazcQ5rdSo6JRglBDnqMcee4ytW7eyePHiErX/7bffOP/8809bMCoUCjFq1Cgee+yxYrXz+/089NBDfPnllxKMEkKIs5AEpIQQQohTyOXR2LE/m1yPRpbLj9cfJMpm4p8NGdzQZSaLF4ZPz9LpYMDAJkz6tDNJFewopfD4AmTm+tHpINZhxmY1kpzooFK8PXLSnhDi3KPT6Zg+fTrffPMNf/zxR7HaejweNmzYwLBhw07R6ApasGABffv2pXr16kVu4/P5eOKJJxg5ciSNGjU6haMTQghRViRl7zSQpfVCCHHuUUqRnu0lLcuLXwuS49HQ6cBhMfHJhxt4Y9QqgsHwP8EJiVZGjbuSlq2qAOET+HI9Gv5AeLNzu9WIzRIORpmNsirqXCfPFeLffv/9dy699NKyHkap27ZtG/Hx8cTGxpb1UIQQQpwicsqeEEIIUcoCwRD70t3kevx4fAHcvgBmo4GAN8jAh39h4fzdkbpNm1dizPgrqVDRAYTT+3I8fpSCaLsZs8lAvNNCUqwNnU5WRQkh8jsbg1EA5513XlkPQQghxCkmASkhhBCiFHl8AVLTXPi0IDkeP1pAYbeY+GdDOoMfXMC+VBcQTtH73wONePCRSzAa9UdS9IK4fQGMBh1OhxmzUU/lBAdRNlMZz0oIIYQQQojSJQEpIYQQohQopcjM9XMw041fC5Hj9gPgtBuZNnkjr7+6kkAgnKIXF29l1BttadW2KhBO0cvxaGiBIHZLOD3PYTVROcGBySjbPQohhBBCiLOPBKSEEEKIkxQKKfZnuMl2h1P0XF4No0FPSFMM7r+A+T/titS9tGlFxrzZjkqVwyl6fi1IrkcDIMZhxmQ0kBhjJSHaKil6QgghhBDirCUBKSGEEOIk+LQge9Nc+PwBcj0aPi28EfmWTYcZ/OACUvfkRur2G9CQhx+9NJKi5/YF8PgCmIwGnDYTZpOB5AQ7dquk6AkhhBBCiLObBKSEEEKIEsp2+dmf4cYfCJLj1ggpRZTNxBefbOK1kSvRtBAAMbEWXh3blrbtqwEQDIXIcWsEgiEcVhNWswGn3UyleDtGg6ToCSGEEEKIs5889QohhBDFpJTiwGE3qekuPL4AWbnh/aL0QcXjD6bwyovLI8GoxpdU4JvZ10eCUT4tSGaun5BSxDgs2K1GKsbZqZLokGCUEGe5UChEbm4uXq+3rIdSZjZv3kyPHj1ITEwkMTGR/v37k5ubW6rtxo4di06ny/e6884789VZunQp11xzDUlJSSQlJdGrVy/27duXr86UKVNo3LgxDoeD888/nzFjxqCUKvnki6Ck96c4bYtSryj357+2bNlCTEwMKSkpRZ6vEOLcJiukhBBCiGLQAiFS01y4fRoubwCvP4DFZGDH5iwGP7CAPbtzInXvue9iBj1+GSZTOEUvr77ZZCDKZsJiMpCc4MBmkX+OhTgXPPzww7z99tvo9XpSU1OpWLFiWQ/ptNqyZQvNmzcnISGBJ598kszMTMaPH8+GDRuYP38+RmPhvwuL007TNF5//XUuvfRS7r///kh5hw4dIv///Pnz6dSpE40bN+aZZ54hKyuL9957j44dO7Jy5UqsVitjx45l8ODBdO3albvvvptVq1bx+OOPEwwGefLJJ8vV/SlO26LUK8r9+S+v18tNN91Ednb2Kbk3QoizlBKnXFZWlgJUVlZWWQ9FCCHESch1+9U/uw+r9dvT1NIN+9Titalq9T8H1LPDFiuT+TUFoxWMVjEx49SESWvUxp0ZauPODLVuW5r67Uj9PzYfVBt3Zqi9h3JVIBgs6ymJM5A8V5y59u3bpxYvXqwAtX379rIezmnXuXNnVblyZZWenh4pmzNnjgLUu+++WyrtJk2apACVkpJyzP569uypqlatqjweT6Tszz//VICaO3euSk9PVw6HQ91777352rVr1041bty4yPNVSqmffvpJZWRkFKluSe9PcdoWpd6J7k9h+vXrpwAFqAULFhRpvkIIIbkBQgghxAkopUjL8rD7UC4eXyCScmcIwTOPLGbEkGVo/nCKXsMmSXw963raXVUdAK8/QJbLDwpio8zYLCYqxdupnGDHoJd/hoU4l1SqVIlWrVqV9TDKxO7du5kzZw733nsv8fHxkfJOnTpxySWXMHHixJNuFwqFGDVqFA0bNuTyyy8/5liUUkRFReVb6RMTEwOAz+cjLi6OZcuWMWrUqHxtsrOzSUpKKta8r776av78888T1ivp/SlO26LWO9H9+a+pU6fy/vvv069fvxPOUwgh/q3cPwmvXLmSLl26EBcXh8Ph4PLLL2fatGlFbp+SkkKvXr248MILiY2NxW63U7duXe655x7+/vvvU3ZdIYQQZ4dAMMSeQ7kcyvTg8mpku/2YDHpSt+dwa/fvmPPj9kjd3n3r88n0rlSp6iSkFDluP7keDbNRT2yUGbvVRM2KTmKjLOh0ujKclRCirP300080bdoUq9XKeeedx6effhp5b+rUqZG9j4xGIxs2bGD16tUYDIZI+VdffVWk6wwdOrRYr8zMzFMy32XLlgHQrVu3Au/deOON/PHHH4WmexWn3Zw5c/j7779Zu3YtcXFxXHPNNaxbt65Au9tvv51NmzYxbNgwAoEABw8e5LbbbqNSpUq0b98enU5HgwYNiIuLIxQKsWrVKm699Vb++usvXnzxxZO6D8dS0vtTnLZFrXei+/NvGzdu5P777+f++++nV69exZu0EOKcV643rUhJSaFTp06YzWZuvfVWYmJimDFjBrfffjs7duzgmWeeOWEfP//8M0uWLKFZs2aRvjZu3MiUKVOYNm0as2fPpl27dqV+XSGEEGc+jy9AapoLnxYkx+NHCyhsFiPfTd/MyJeWR1ZFOaPNvDymNVd1qgmEg1hHT90zYzUbiHGYqRhnR6+XQJQQAh599FGee+45XnrpJZYtW0bfvn255ppriI+Pp1u3bqSkpDBlyhR27dpF3bp1UUpx1VVXUatWLW677TYuueSSIl1n2LBhxRpXnz59iI2NLcGMjm/Pnj0AVK9evcB7NWvWBGDbtm00bty4xO06duzIrl27SE1NZcmSJbz99ttccskljBs3jgEDBkTa3XDDDQwfPpwXXniBKVOmcPjwYZKTk/nll19wOBz5rtGvXz8+/PBDAHr16kXDhg1LNP8TKen9KU7botYr6v1xuVzceOON1KtXjzfeeIOlS5cWeb5CCAHlOCAVCAS499570el0LFq0iCZNmgAwZMgQWrRowZAhQ7jpppu44IILjtvPc889x/DhwwuU//LLL1x11VU88cQTrFy5stSvK4QQ4syllOJwro9DmR78Wogc95FT9EKK5x9bzOzvj66KatAwkbFvt6dqdSdKKbz+IC5vAKNBR6zdjMlkoFKcnWiHuaymI4Qoh95880169+4NQOfOnXnvvff4+++/adGiBdHR0bRt25bmzZvTqlUrfv75Z0wmE+np6Xz//feYzUX/faJO8alwReXxeACIi4sr8F5iYiJAoSfCFaed0WikWrVqVKtWjWbNmjFgwAB69OjBww8/TLt27bjwwgsjbe+55x4+//xz1q9fD4RT66pWrVrgGj179qRNmzZ89dVXTJs2jbS0NObMmVNglatSCpfLdcy5/3duVqs13yblJb0/xWlbnGsU5f7079+fffv2sXr1aiwWS6FjE0KI4ym3KXvz589n69at9OrVKxIUAnA6nTz//PMEAgEmT558wn4KOwUCwidtxMXFsWXLllNyXSGEEGemYEixL93NwcMe3N4AWS4fBr2O/bty6dXjh3zBqDvvvohPv7qWqtWdhEKKHI+Gy6tFVkQ5bOEUPQlGCSH+6797SZnN5gL781gsFr744gsGDRrEgAEDmDZtWrGCUafKrl272LRpU5FewWAQgAoVKgCQlZVVoL+8QInT6SzwXknbAdhsNj766CMAvvjii0j5zp07adq0KdWrV2fLli1MmjSJX375hauvvhq3252vjy5dutC7d2++//57nn32WebNm8e8efMKXGvnzp04nc4Cr7w+/ls+derUUptnUdsWtV5R7s8HH3zAJ598wqhRo7Barezfv5+MjAwAMjIy2L9//zEDdEIIkafcrpBKSUkBoGPHjgXeyytbuHBhiftfunQphw8fLvAwcKqvK4QQovzy+YPsTXfh9QfI9Wj4tSBWs4FZ32xjxNBl+H3hP6yinCZGjGpNxy61ANACIXI8fpQCp92MxWQg3mkhKdYme0UJIQplMBiKVO+8886jZcuWZGZmUqdOnWJfZ+jQocWqP2jQoBOm7N11111Ffh4+dOgQiYmJkdU127dvj6zGyZP3BXFhK5RK2i5PpUqViI+PZ9++fZGyhx9+GKfTycyZMzGZTNSuXZvLL7+cSy65hLfffpvHH3+80L4GDhzIiBEjWLNmDZ06dcr3XuXKlVm8eHGBNq1bt2b8+PH5vugGCnyWJzPPorbNuwcnqnfPPfec8P7kBdQK28i8Z8+eQPjvrebNmxc6ZiGEgHIckNq8eTNAoalxcXFxJCYmRuoURUpKCikpKfh8PjZv3swPP/xAYmIiY8eOLfXr+ny+fN9wHWsDQiGEEOVHtsvPvgw3WiBIjttPSIFB6Xjxqd/4fubWSL2LGiQwdkJ7qteIRimFxx/EfSRFz+kwYzbqqZzgIMpmKsPZCCHOFgsWLCA9PR2bzcaXX37JTTfdVKz2p2IPqbwvcIujVatWWK1W5syZQ9OmTfO9N2/ePOrWrUtCQkKptcuzf/9+Dh06RJUqVSJl8+fP53//+x8m09Hf0w0aNKBhw4YsXLjwmAGpvNVB/w3mQHg127FOULz44otPeLriycyzqG2LWq8o92fUqFGRFVF51q5dy5NPPsmrr77KZZddJsEoIcQJlduUvbylpHlHjP5XdHR0octNjyUlJYVhw4bxyiuv8PXXX1OtWjXmzJnDZZddVurXHTlyJDExMZFXtWrVijxOIYQQp1dIKfZnuElNd+HxaWTm+kGn4+DuXG6/4Yd8wahed13IZzOuo3qNaEIhRbZbw+3VsFnCKXpRNhM1K0VLMEoIUSrS09N5+OGHeeedd3jnnXcYMmQIW7duPXHDf1FKFeuVt7l1aYuKiqJr165MnDgxXyAjJSWFefPm0bdv30jZ7t27S9TuvyfqBYNBHnnkEQwGA7feemukPDo6mhUrVuTbXystLY1t27ZFgk1LliwpMIfhw4djNpvp3LlzSW7BcRVnnlCye1TUekW5P5dffjmdO3fO97r88ssj7/33ND4hhChMuV0hVdryjrJ1uVyRI1uvuOIKPvzww1I/ovTpp59m8ODBkZ+zs7MlKCWEEOWQFgiyN82FxxfA5Q3g9QcwmwzM+347I15YitcbTtFzRJl46dVWXHPteQD4A0Fy3RoA0Q4zZqOBhGgriTFWSdETQhxTamoq//zzDwDLli0jFAoRExPDunXr8Hq9rFmzhgoVKpCUlMSGDRsYM2YMHTp0IDk5GYC7776bW265hTFjxlC7du0z7vnypZdeomnTprRo0YJ+/fqRlpbGm2++yWWXXcZDDz0EhL/YfeaZZ/jss88iQaSitNu3bx/NmjXjkksuoWfPnrhcLr799ltWrVrF2LFj86XIPfPMMzz44IO0a9eO6667Dp/Px6RJk/B4PAwaNIjly5fTunVrOnbsSNeuXcnJyeH7779n+fLljB07Nt9qqxMxGAxF/nehKPM8mXtU1Honuj9CCFFqVDl14403KkCtWrWq0PcTExNVUlJSifvXNE01atRIORwOdfDgwVN63aysLAWorKysEo9XCCFE6cpx+9U/uw+r9dvT1NIN+9SStanqtz/3qu49v1EwOvK68KJJanbKdrVxZ4b6a0e6WvX3AbV4bapa9tc+tWF7utq8J1PlevxlPR1xDpHnijPXwIEDFRB5de/eXY0ePTpfWaNGjdTLL78c+dlsNqv09HSllFJJSUmR8r59+5bxbErm999/V1dffbWKiopSVapUUf3791eZmZmR9z/44APldDrVvHnzitVOKaVmzZql2rRpo6KiopTNZlNXXHGF+v777wsdx7fffqtatmypoqOjVYUKFVTXrl3VmjVrIu9/9NFH6rLLLlNWq1U5HA7VqlUrNXPmzGPOKxgMqsOHDxf55fP5SnR/TvYeFbXeie5PYRYsWKAAtWDBguPWE0KIPDqlyslZsP/xzDPPMHLkyHyR/zyHDx8mPj6eli1b8uuvv5b4Go888ghvvPEGs2bN4pprrjll183OziYmJoasrCyio6NLPF4hhBAnTylFWpaX9Gwvfi1IjkdDr9NxYE8ujz2YwtYtmZG6t9xej6dfaIbFaiQYUuS4/QSCIexWEzazgSibmcoJdoyGcpsBL85C8lwhRPmzY8cOatWqVeT6kydPpk+fPqduQEIIcQYotyl7bdu2ZeTIkcybN69AYCjvqNW2bdue1DVSU1MBMBqP3obTcV0hhBBlIxAMkZruwuXRcPsCeHzhFL2ff9zB8OeX4vEEALA7TLw48gq6dq8NgE8LkuvR0OkgxmHBbNSTGGsj3mmRFD0hhBDHPGXvWEpyYqIQQpxtyu0KqUAgQN26ddm7dy/Lli2jcePGAOTk5NCiRQv+/vtvNmzYEPllnpaWRlpaGomJiflOvli0aBGtW7cu8AfDvHnzuPbaa7Hb7ezduxeHw1Gi6xaFfJMphBBlz+0LkJrmCq+KcvvRggq9gjHDV/DNl0dPT61TL443JrSnVu1YlFJH95YyGoiymbCYDSQnOLBZyu13OuIsJ88VQgghhDgblNunaaPRyAcffECnTp1o3bo1t912G9HR0cyYMYPt27czfPjwfEGht956i2HDhjFkyBCGDh0aKe/WrRuJiYk0bdqUatWq4fF4WLt2LYsWLcJkMvHBBx9EglElua4QQojyTSnF4RwfhzI9+ANBco5sRp6x381jD6Ww+e/Dkbo33lqHZ4e1wGo1EgyGyPFoBIIhHFYTNosRp81EpXg7BknRE0IIIYQQ4qSU24AUQLt27ViyZAlDhgxh+vTp+P1+6tevz0svvcTtt99epD6GDRvGnDlzWLJkCYcOHUKn01GtWjXuvfdeBg0aRP369U/JdYUQQpS9YCjE/nQ3OUdS9NxeDZNRz8K5uxn27K+43eEUPZvNyNCXr6DbDecD4PUHcXk19DqIjbJgMuqpEGsnNsosKXpCCCGEEEKUgnKbsnc2kaX1Qghx+nn9Qfam5Yb3f3Jr+ANBdArGvbKKLz/7J1Lv/DqxvDGhA7UvCKfo5XoD+PwBLKa8FD0jyQl2rOZy/R2OOIfIc4UQQgghzgbydC2EEOKsk5XrY/9hN1ogRLbbj1KQccDDEw8v5O+NGZF6N9x0Ac+91BKbzUggGCLHrREKKaJsJqxmIzEOMxXj7Oj1sipKCCGEEEKI0iQBKSGEEGeNUEhx4LCbLJcfrz9ArkfDaNCzeP5uhj79G25XeP8oq9XAkBFXcP2NF6CUwusP4PIE0Ot1xESZMRsNVIy3EeOwlPGMhBBCCCGEODvJrqxCCCHOCn4tyM4DOWTm+shx+8n1aOiUjjdeXsUTDy+MBKNqnx/L9O+7c/2NFxBSilyPRq5Hw2I2EBtlxmE1UaOSU4JRQojTIhQK8corr1C1alXi4uIYNGgQmqaV9bCKbffu3aXa3549e5g9ezZz584t1X7PNaX9uQghRGmSgJQQQogzXo7bz44DObi9Gpm5fvyBEBkHvfS7bTZffLopUq/bDefzxXfduKBOHFogRNaRuk67mSibiTinlRqVnFhMhjKcjRDiXPL888/z4osvcvvtt9OiRQu+/vprfD7fabv+5s2b6dGjB4mJiSQmJtK/f39yc3OL3H7Dhg307NmTtm3bnvQ1lFJ89NFH1KtXj2rVqtGlSxdSUlLy1Vm6dCnXXHMNSUlJJCUl0atXL/bt21fk8ZbEydyjorQtav9TpkyhcePGOBwOzj//fMaMGcOxtgMuyucihBBlTVL2hBBCnLGUUhzK8pKR7Q1vXu7R0Ot0LFu4lyFP/YorN7zKwGIx8NyLLeh5Sx0APL4ALm8Ao0FHrMOMyWigUrydaLu5LKcjhDjH7N27l9GjRzN+/Hjuv/9+lFLs3r2bqKio03L9LVu20Lx5cxISEnjyySfJzMxk/PjxbNiwgfnz52M0Hv9Phf79+/Pee+9hNBqpXLnySV3D5XJx5513MnfuXO6//34mT57MRRddlG/j/vnz59OpUycaN27MM888Q1ZWFu+99x4dO3Zk5cqVWK3W0rs5xRx/SdsWtf+xY8cyePBgunbtyt13382qVat4/PHHCQaDPPnkk/muW5TPRQghygMJSAkhhDgjaYEQqeku3F4NtzeAxx9Ap+DN11bz2ZSNkXq1asfwxoT21KkXTygUTtHzB4LYzEbsViN2i4nkRDsmo6yKEkKcXp9++ikAt99+OwA6nY7q1auftus/9NBDWCwWli1bRnx8PABt2rShc+fOTJo0ifvuu++47dPT05k9ezbTpk0rsJKpONdQSnHHHXewevVqfv/9d+rVq1doXxMmTKBSpUosXrw4Eny64YYbaNSoEYsWLaJjx45FmvfPP//MpZdeSlxc3Anrnsw9KkrbotTJyMjg+eef59577+X999+P9L93714+//zzAgGponwuQghRHkjKnhBCiDOOy6ux80AOuR6NLJcfjz/I4YNe7rtjbr5g1LXda/Pld92oUy8eLRAi0+VDC4aItptx2EwkxNioXjFKglFCiDIxd+5cLrnkEpxO52m/9u7du5kzZw733ntvJBAC0KlTJy655BImTpx4wj6mT59+3CBQUa/x1VdfMXfuXFJSUo4ZjILwqtioqKh8K6FiYmIAipXmePXVV/Pnn3+esN7J3KOitC1q/3FxcSxbtoxRo0ZF6iilyM7OJikpqcC1T/S5CCFEeSErpIQQQpwxlFJkZPs4lOXBHwiS49bQ6WDlklSGPPUrOdl+AMwWA88Obc5Nt9UFwO0N4PYFMBl0RDnMmI16Kic4iLKZynI6Qohz1ODBgxk7dmzkZ51OR4sWLfjtt9+O2Wbo0KHFusagQYOIjY095vvLli0DoFu3bgXeu/HGG3nmmWfIzs7OlzJXXEW9xpgxY2jevDn9+/dn1apV+Hw+2rZty8svv0zDhg0jbW6//XZ69uzJsGHDePbZZ8nIyOC2226jUqVKtG/fvsTjPNnxF3aPitJ2/vz5Re6/QYMGQHgT/NWrVzN69Gj++uuvSB9CCHEmkoCUEEKIM0IwGGJfhpsctx+PLxxgIgTvvrGGqR/9FalXo1Y0b0xoT72LEgiFFDkeDS0QxG4xYrMYcdhMVI53YDLKImEhRNlo06YNPp+PCRMmcP/991O3bt1IwOFYhg0bVqxr9OnT57gBqT179gAUmiJYs2ZNALZt20bjxo2Ldd3iXmPTpk2sXLkSpRQtWrTgqaeeIjMzk/fff58WLVqQkpJC06ZNgXB63vDhw3nhhReYMmUKhw8fJjk5mV9++QWHw1HicZ7M+I91j4rSNiMjo9j99+vXjw8//BCAXr165QvYCSHEmUYCUkIIIco9jy9AaroLnz94JMAUIvOQl2cGL2Ldn2mRetdcV4sXR7YiymnGf2STc4CYIxuXJ8ZYSYi2otPpymoqQgjB9ddfz9atW4FwoKlChQonbHOs09RKyuPxABS6j1JiYiJAsU7bK+k15syZg1KKbt26MXPmzMjv5wEDBtCgQQMGDhyYb+XYPffcw+eff8769euBcPpd1apVC72+UgqXy3XMsf13flarNd8m5Sdzj4rSNicnp9j99+zZkzZt2vDVV18xbdo00tLSmDNnjvy7JoQ4I8nXw0IIIcotpRSHc3zsOpiD2xsgM9dHIBji91/3cXuPHyLBKJNZzwvDW/Lam+1wRJlweTWy3X4MBj2xURZsFhPVK0SRGGOTh3YhRLmwaNEi6tWrV6Rg1KmQd92srKwC7+UFU052b6uiXCMv0PbYY4/l+/2cnJxM3759WbZsWSRws3PnTpo2bUr16tXZsmULkyZN4pdffuHqq6/G7XYXuMbOnTtxOp0FXgBdunQpUD516tRij/9Y96gobfP2vypO/126dKF37958//33PPvss8ybN4958+YVOgYhhCjvZIWUEEKIcikUUuw/7CbbFU7Rc3k1VFDxwVtrmTJpQ6RetepOxk5oT/2LEwmGQuS4NQLBEHarCZvZgNNuplK8HaNBvoMRQpQPSimWLFnCTTfdVOQ2pb2HVN6qou3bt0dW4+TZsmVLvjolVZRr5KUq2my2Au1r1aqFUorc3FycTicPP/wwTqeTmTNnYjKZqF27NpdffjmXXHIJb7/9No8//ni+9pUrV2bx4sUF+m3dujXjx4+nSZMm+crr1KlT7PEf6x4VpW1eeUk/g4EDBzJixAjWrFlDp06djllPCCHKKwlICSGEKHd8WpDUNBdef4Bcj4ZPC5J5yMuzjy5m7ZpDkXodr6nJ8FGtcUab8R1J0dPpIMZhwWzUkxRrI85pkVVRQohyZd26dWRkZNCmTZsityntPaRatWqF1Wplzpw5kT2a8sybN4+6deuSkJBQrGuW5Br169cHYNWqVVx22WX56uzcuROHwxE5SW7+/Pn873//w2Q6eiBFgwYNaNiwIQsXLiwQkLJYLLRq1arQsV188cXHfK844z/WPSpK2+7du5/UZ5C3Kuy/wSwhhDhTyNfFQgghypVsl5+d+3NweTUyc/34AyH+WHaAO274IRKMMpn0PDesBW+8054op4lcj0aO24/pSIqe3WqkekUn8bJflBCiHFq0aBFAsQJSSqlivfI2xT6WqKgounbtysSJEyObawOkpKQwb948+vbtm6/+7t27iz7BYlyjXr16XHTRRYwePTqSmgdw4MABJk2axA033BDZ1yk6OpoVK1bk208rLS2Nbdu2nZKgzMnco6K0LU7/S5YsKTC+4cOHYzab6dy5c6nMVwghTjedKu0dEkUB2dnZxMTEkJWVdVJH5wohxNkspBSHDns4nOvD5w+vdgoFFZPfWcvk99ZH6lWt5mTshHY0aJhEMBgixxNO0XNYTdgsxiMpejYMevnORZyd5LnizHfTTTexevXqyMbmZWXjxo00bdqUKlWq0K9fP9LS0njzzTepX78+ixYtwmq1AjBy5EieeeYZPvvsM2699dYC/fTp04eUlBR27NhRomssXLiQzp07U6NGDe6++240TeO9994jEAiwatUqkpOTAXj77bd58MEHadu2Lddddx0+n49JkyaRmprK0qVLi3wioNFo5JdffqFt27an9B4VpW1R6ixfvpzmzZvTsWNHunbtSk5ODt9//z3Lly9n7NixDBo0qNCxH+9zEUKI8kCe1oUQQpQ5LRBi14EcMnK84dVOHj+H0zwMvPfnfMGoqzrV4Osfu9OgYRJef5BMlx+liKyKqhhnJznBLsEoIUS5tnjx4mKtjjpVLrzwQhYtWkSNGjUYNmwYU6dOpXfv3vz000+RQAuEN+h2Op0lSuEryjXatm3LwoULqVWrFq+++iqjRo2iadOm/Prrr5FgFMADDzzAt99+i6ZpvPjii4wbN44LL7yQZcuWFRqMCoVCZGZmFnilpaXRqFGjAuV+v79U71FR2halTrNmzfjoo4/IyMjgySefZOTIkZhMJmbOnHnMYJQQQpwJZIXUaSDfZAohxLHlejT2pbvwB4LkuDWCQcUfK/bz/ONLyDzsA8Ipeo8905Q77w7vNZLrDeDzB7CYDETZTFjMRpITHFjNhrKcihCnhTxXCFE0O3bsoFatWkWuP3nyZPr06XPqBiSEECIf2dRcCCFEmVBKkZblJT3bi18LknMkRe/jd9cx6d11kXrJVaMY+3Z7GjZOIhAMn6IXCimibCasZiMxDjMV4+zo9bJXlBBCiKOOdcresfz3lD0hhBCnlgSkhBBCnHaBYIjUdBcuj4bbF8DjC5CZ7mPoE0v4feWBSL12V1Xn5dfaEBNjxusP4PIE0Ot1xESZMRsNVIy3EeOwlOFMhBBClFfHO2VPCCFE2ZOAlBBCiNPK7QuQmuY6sirKjxZQrFl5kBceX8LhDC8ARqOOwU82pU+/BijCaX0+LYjVbMRhNWI1G0lOdGAxSYqeEEIIIYQQZyIJSAkhhDgtlFIczvFxKNPzr/2iQkx9/y/en/AneTsaVk528Npb7WhyacWjKXpK4bSbsZgMxEZZqBBnQ6+TFD0hhBBCCCHOVBKQEkIIccoFQyH2p7vJdvvx+IO4vRpZh70Me/I3Vi7bH6nXpl1VXhnblthYCx5fAJc3gNGgI9ZhxmQ0UCneTrTdXIYzEUIIIYQQQpQGCUgJIYQ4pbz+AHvTXPi0ILluDX8gyLrVh3j+scWkp4VT9AwGHYOeuIx7/ncxADlH6tnMRuxWI3aLicqJdsxGSdETQgghhBDibCABKSGEEKdMZq6PA4fdaIEQ2W4/gUCIzyb9xcS3jqboVaxk57W32nFp00pogRA5Hj9KQbTdjNlkIN5pISnWhk5S9IQQQgghhDhrSEBKCCFEqQuFFAcOu8ly+fH6A+R6NLIyfLz0zG8s/21fpF7rtlV5ZWwb4uKtuH0B3EdS9JwOM2ajnsoJDqJspjKciRBCCCGEEOJU0Jf1AIQQQpxd/FqQnQdyyMz1keP2k+vRWL86jT43zYoEo/R6HY88cRnvftSR2Dgr2W4Nt1fDZjEQ4zATZTNRs1K0BKOEEOIUWbVqFc2bNycxMZFWrVqxbt26sh6SEEKIc4yskBJCCFFqst1+9me40bQg2W4NLRDki8mbePfNNYRC4Ry9pAp2xrx5JZc3r4w/EN5XCiDaYcZsNJAQbSUxxiopekIIcYqkpaXRs2dPPvvsM1q0aMFrr71Gjx492LJlS1kPTQghxDlEVkgJIYQ4aUopDh52k5rmwuMLkOnyk5Hu5akHFzJh3B+RYFTL1sl8M/t6mjarhMurke3SMBh0xEZZsFtMVKsQJftFCSHEKbZ27VruuOMOWrZsiU6n47777mPr1q0cPHjwlF3zwIED7N2795T1f6bZvXt3WQ9BnAJ79uxh9uzZzJ07t6yHIsQZQQJSQgghTooWCLHrYC7p2V5yPRo5bj/r/zjE3Tf9yNIlqUA4Re+hwZfw3sediI23ku3y4/EFsFuMRNvNOO0malZy4rBKip4QQpxq7du3Z8SIEZGfFy9eTOXKlUlISChQVylF9erVmThxYomvt2fPHqpUqcJPP/2UrzwrK4tevXoRExPDBRdcwMsvv4zf7y/xdY5l8+bN9OjRg8TERBITE+nfvz+5ubml1u6jjz7i4osvxmKxkJyczEMPPURmZmahfW7YsIGePXvStm3bk7rm0qVLueaaa0hKSiIpKYlevXqxb9++Qnos+BlOmTKFxo0b43A4OP/88xkzZgwq76SRU6Skn0Fx2hZlXqXZVx6lFB999BH16tWjWrVqdOnShZSUlCLNTYhznaTsCSGEKDGXRyM13YU/ECLH7cevhfhyyiYmvHF0VVRiko0x46+kWctk/FqQHI8fHRDjsGA26kmMtRHvtMiqKCGEKAMHDx5kwIABjBs3DoPBUOD9X3/9lX379tGzZ88SXyMQCBAMBguUP/3008ycOZOnn36atLQ0JkyYwCOPPFLi6xRmy5YtNG/enISEBJ588kkyMzMZP348GzZsYP78+RiNhf85VNR2I0aM4LnnnqNnz57cc889/PXXX7zzzjv89ttvLF26FLPZHOmzf//+vPfeexiNRipXrlzia86fP59OnTrRuHFjnnnmGbKysnjvvffo2LEjK1euxGq15uv335/h2LFjGTx4MF27duXuu+9m1apVPP744wSDQZ588snSuu0lmtfJtC3KvEqzrzwul4s777yTuXPncv/99zN58mQuuugioqOjT8m9FOKso8Qpl5WVpQCVlZVV1kMRQohSEQqF1KFMt9q4M0P9ueWQWrIuVf24eJu6os00BaMjr+Ytp6pFK/eov3akq1WbDqjFa/eq5X/tVxu2p6stezKV26uV9VSEOOPIc8XZ5ffff1ctW7ZUJpNJAeqTTz45bdf2er2qRYsW6pFHHjlmnQceeEB17NjxpK6zfft2BajJkyfnK69WrZq67777Ij8Hg8GTuk5hOnfurCpXrqzS09MjZXPmzFGAevfdd0+q3c6dO5XRaFRPP/10vrZffPGFAtSECRPyld90001q7ty5qnfv3qpGjRolHmvPnj1V1apVlcfjiZT9+eefClBz584t0G/eZ5ienq4cDoe69957873frl071bhx42Pei5NV0s+gqG2LOq/S7Eup8LPQ9ddfr6pXr642btxYlFshhPgPSdkTQghRLIFgiD2HcjmU6QnvA+X289efadxz02x+XRTeH0SngwcGNeGDqZ2JT7SS5fLj8QdwWE1EO8xEO8zUrOTEZpGFukKIc9f+/ftp3749LVq0YOXKlWzcuJFu3bqdtuv37duXmJgYRo8eXej7oVCIr776iltvvfWUXH/Pnj1UqlQp8rNeX7p/muzevZs5c+Zw7733Eh8fHynv1KkTl1xyyTHTEIvabtasWQQCAR588MF87W+++Wbq16/PV199la98+vTpdOzY8aTHqpQiKioq30qomJgYAHw+X75+//0ZxsXFsWzZMkaNGpWvr+zsbJKSkgod18kq6WdQnLZFmVdp9pXnq6++Yu7cuaSkpFCvXr2S3B4hznkSkBJCCFFkHl+AHftzyHGHA1EuT4AvP/mb/r3ncWC/G4CERCsfTO3Mg49cQiCkyMz1E1KKGIcFu9VIhTgbVRIdGAzyT5AQ4tw2efJkqlatypgxY2jUqBH16tUrNNVn06ZNzJgxo8j9rlixgpo1a/Loo4/mK1+wYAFNmjTh+++/5+WXX+b333/n888/LzRVL6/+4cOH6dGjBwDPPfccffr04e23347sr9OoUSPmz5+fr11KSgqtWrXCbrdTq1YtXn/99Xzv9+nTB51Oh1KKYcOGodPpuPLKK/PVUUqRm5tb5FcgECgw/mXLlgEUGuS78cYb+eOPP8jOzi5xu4yMDABsNluBenXr1i3WqYXFGevtt9/Opk2bGDZsGIFAgIMHD3LbbbdRqVIl2rdvn6/tvz9DnU5HgwYNiIuLIxQKsWrVKm699Vb++usvXnzxxULHdbKfQ0k/g+K0Lcq8SrOvPGPGjKF58+b079+fxMREnE4n1157LWvXri10PkKIguSvASGEECeklCIj28uuAzl4fBqZuT4y0r08/8gixo/+nWAwvF9U0+aVmDGrBy2uSI5scG426sOn6FmNVK/gJN5plf2ihBAC2Lp1a5FWVtSrV4+pU6fy+++/F6nfFStWcPDgQV5//XXWr18PwI4dO7j55ptp2LAhJpOJ5557jl27dlG7du3IBs9Lly7N18/nn39Ox44diY2NBWDJkiVMmzaNJ598kvbt2zNs2DAyMjLo3r17JKjw3XffcfXVV5Obm8uQIUO49dZb+fDDD/P1e++99zJ58mQAunfvzuTJk3nqqafy1dm5cydOp7PIr6lTpxa4D3v27AGgevXqBd6rWbMmANu2bStxuwsuuACA77//Pl8dj8fDihUr2L9/f4H2x1Kcsd5www0MHz6cF198kbp161KvXj2ys7P55ZdfcDgc+dr+9zPM069fP5o2bcr06dPp0aMHDRs2LHRcJ/s5lPQzKGnbY82rNPuC8N5rK1euZMGCBWRnZ/PUU08xcOBAVq5cGVnxKIQ4McmVEEIIcVzBUIj96W5yPBpuXwC3V2PTunSef3wJ+1NdQDhF738PNOLBRy4BHWS6/ASDIRxWE7YjJ+lVjLdj0EsgSggh8lSpUoUlS5YQCoVOmK42ceJErr76aiZNmsSll1563LoPPvggBoOBAQMGsGLFCmrVqkX37t2pXbs27733HhaLhVAodNw+NE1jxowZjB8/Pl+5Tqdj8eLFNGnSBIDKlStzxx13sGnTJurXr0/fvn1p27Yts2bNimzo3b59+3ypaq1ataJVq1bcfffdNG7cmD59+hS4fuXKlVm8ePFxx/hvderUKVDm8XiAcBrWfyUmJgIUesJaUdt169aNunXr8uCDD5Kdnc1VV13F/v37GTZsWIF0xBMp7ljvuecePv/880jA8eqrr6Zq1ar52h3rMwTo2bMnbdq04auvvmLatGmkpaUxZ86cAl8YneznUNLPoKRtjzWv0uxLp9OxZs0alFJ069aNmTNnRu7bgAEDaNCgAQMHDuS3334rdF5CiKMkICWEEOKYvP4Ae9Nc+LQguW4NnxZgxrR/eOu11QQC4VVRcfFWRr3RllZtq+L1B3F5NfQ6HbFRFkxGPRXj7MQ4zLIqSggh/qNv376MHz+e3r178+CDD0b2ATqW+vXr06ZNG959913uvPPO49a9+eabGTBgAOnp6fTp04e0tDRWrlyJxWIp0th++ukn3G53gRSn5s2bR4JREA6qAbjdbubMmUNaWhqvvPJKvtPl8lYSFYfFYqFVq1bFbvdvFSpUACArKysSdMiTF6BwOp0lbmexWJg3bx533HEHDz30UKROkyZNiIqKKta+QsUZ686dO7niiito1KgRM2fOZOHChTzxxBNcffXVLFiwALvdDhz7MwTo0qULAL179+a5555jxIgRzJs3j06dOuWrd7KfQ0k/g5K2Pda8SrOvTp06kZaWBsBjjz2W7/kmOTmZvn378tprr5GTk3PMuQkhwiQgJYQQolCZuT4OHHajBUJku/1kZfoYNWQ5Kb/sjtS59PKKvPZmOypUtJPj9uPTglhMBqJsJixmI1USHFjMhe9NIoQQ57rq1auzfPlyHnvsMTp27HjMvXT+q2/fvphMpuNuNp6QkIDRaGTixIns3buXhQsXkpycXOSxff7553Tt2rXAH9TH+3Jh8+bNQDhwdrJCoVCR7weA3W7PFwQDIiuGtm/fXiAIkbe/039XFRW3XfXq1Vm0aBF///03u3btolq1ani9Xpo0aULnzp2LPP7iXPPhhx/G6XQyc+ZMTCYTtWvX5vLLL+eSSy7h7bff5vHHHweO/Rn+18CBAxkxYgRr1qwpEJA62c+hpJ/BybaF/PNq1KhRqfXVqVOnSNCvsP3DatWqFdl7SwJSQhyf7CElhBAin1BIsS/dxf4MNx5fgMxcHxvXpXPvLXPyBaP6DWjIR591ISHJRmauH78WIspmwmk3ExtloWZFpwSjhBDiBOrUqcN3331HVlYWSqnjvnr37k3Tpk1Zv379CU++S0tLIxAIsHXrVt577z0uv/zyIo/J5/Px7bffcssttxRrLlFRUQAcOHAgX3kwGCxWPwC7du0iLi6uyK9p06YV6KNVq1ZYrVbmzJlT4L158+ZRt25dEhISSqVd3bp1ufrqq6lXrx5DhgzBZrNx9913F3m+xbnm/Pnz6dKlCyaTKVKnQYMGNGzYkIULFwLF+wzd7vChJP8N1MDJfw4l/QxOtu1/51WafQGR1W+rVq0qUHfnzp04HI5TdnKhEGcTWSElhBAiwq8F2ZvmwusPkOvR8PoDfPP5Zt4cs5qAFt5vJDbOwqtj29L6yqr4tCAuTwC9XkdMlBmz0UDF+HCKnhBCiNLz3XffEQgEWLx4cZHS7jZs2ACENxA/UXrff82aNYtgMEjXrl2L1a5NmzYAvPXWW4wZMyZSPmHCBCB8QEZRlcYeUlFRUXTt2pWJEyfywAMPEB8fD4RPAZw3bx6vvvpqpO7u3bupVq1asdv91xtvvMF3333HiBEjImliRVGca0ZHR7NixQqUUpEVa2lpaWzbto0GDRoAx/4MlyxZUiAFb/jw4ZjN5kJXdJ3s51Dce1nSz+FE8yrNviAckLrooosYPXo0t99+e2Ql1IEDB5g0aRI33HADRqP8qS3ECSlxymVlZSlAZWVllfVQhBDimLJcPvX37sNq3bY09dv6fWr2rztU+6u/UDA68mpy6cdq/tJdasOOdLVi4361eO1etXLTAfXXjnS1LTVL+fyBsp6GEGc9ea4492zevFn169dPBYPBItVPS0tTtWrVUoD66KOPin29m2++Wd12220Fytu2bavatm2br2zBggUKUAsWLFBKKXXrrbcqQN18881q3Lhx6uabb1aAAtSECRPytQXUkCFDij2+4vjrr7+Uw+FQderUUaNHj1ZPPvmkstvtqmnTpsrj8SillHr55ZcVoD777LNitfu39PR09fDDDytA9e3bV4VCoWOOqXfv3qpGjRolGqtSSr311lsKUG3btlVjxoxRI0aMUOedd56yWq3qjz/+UEoV/hkuW7ZMAapjx45q3Lhxavjw4apZs2YKUGPHji3GXS2eos6rpJ9DUedVmn0ppVRKSoqyWq2qbt266pVXXlEvvfSSqlatmqpcubLau3fvKbufQpxNJCB1GsiDoxCiPAuFQmp/hktt3Jmh1mw+pJasTVWTPl+vqlR7J18w6p775qi1W9IiAasl61LVmi2H1MadGWp/uksFj/PwLYQoPfJcce4JBAJK07Qi1+3QoYOKj49XgPr++++Lda3c3Fxlt9vVzJkzC7xXlICU1+tVjz76qKpYsaIym82qWbNmavr06ap69erqu+++y9f2dASklFLq999/V1dffbWKiopSVapUUf3791eZmZmR9z/44APldDrVvHnzitVOKaWefvpp1a5dO2W1WlV8fLx6++23TzieYwWkinpNpZT69ttvVcuWLVV0dLSqUKGC6tq1q1qzZo1S6vif4UcffaQuu+wyZbValcPhUK1atSq0XmkryrxO5nMo6rxKsy+llFq+fLnq3LmziouLU06nU91www1q27ZtJblFQpyTdEoVY+2sKJHs7GxiYmLIysoiOjq6rIcjhBARWiBEapoLt0/D5Q3g8Wl8O30L40b9HknRi4kxM3JsW65sX+3IKXoBjAYdTrsJk9FApXg70XZJ0RPidJHnCnE8gwYNYtKkSXz66ad0796djz/+mLvuuqush3XWuuOOO6hWrRqXXXYZnTp1iuyjJYQQ4sQksVUIIc5RuR6Nfeku/IEgOW6NzEwfr720gp/n7IzUadgkidffakfl5ChyPBp+LYjVbMRhNWKzGElOdGA2ysblQghRHkyZMoU333yTmTNncsUVVwAwe/ZsCUidQlOnTi3rIQghxP/bu+/4KOr8j+Ov7S09oSRURUHBhoqCiBQL3tl77733hmJAQAUUsMvJie0s/OzeWThP6cWKBQQRAYHQUrfvzu7O74/AKoROSELyfj4e+YPZz858h3Fw95Pv+zu7LTWkRESaGNM0Ka2KUuaPEjeSBCIGv/5STvFd01i2NJCuu/TK/bjtnkOxWC1UhmKYJmR6nbgcNvIyXTTL8Wzx8d8iIlJ3vv76a6655hqGDh3KSSedhGmaFBUV8eabb9KxY0fuvPNOPYJeREQaFGt9D0BEROpOIpli2dogpVURQlGDqlCMD/9vIddc+Fm6GZWV5eTpF47h7gcOI2GaVIXiWC0WcjJceF12WjfLoHmuV80oEZEGYvXq1Zx++umceOKJ3HfffQBYLBaKi4uxWCwsWbIEj8dTz6MUERHZkNaQqgNa60FEGoJw1KCkLFw9Kyocp7IqzqihXzHx4yXpmv0PLGDU0/0oal0d0TMSSTwuO16XHa/bQVG+D4ddv8sQqU/6XCEbi8fjhMNhMjIyajxqvry8nNzcXP0SQUREGhxF9kREGjnTNCkPxCitjKTXi1q4oILiO6exdIk/XXfR5V24875uWKxQGYxhAlleJ06HjfwsNwXZbn2hERFpgJxOJ07nph8ukZeXV8ejERER2TZqSImINGLJZIqV5WEC4TiReJJQJM7H7/3OqIe/IR5PApCZ5WToiF4ce3w7IrEk4UgCh91ChseJ026lKN+Hz+Oo5zMREREREZHGRA0pEZFGKhJLUFIWIhZPEowYVPqjjB76DZ/+e3G6psv+BYx+ti+tWmfiD1dH9Lyu6ifo+TzVET27TRE9ERERERGpXbXSkFqxYgUzZ85k6dKlGIZBfn4+++23H4cffjhWq77IiIjUJdM0qQzGWVMZJm6kCETi/LagguK7prHk9z8jeudfvC/3PHA42KojegDZPicOu42CbDf5WYroiYiIiIjIrrFTDalPP/2UYcOGMWPGDDZeG91isZCfn8/111/P3Xffjdfr3amBiojI1qVSJqvKw/jDcSKxBMFInE8+WMyoYV8Ti1VH9HwZDoYMP5LjT9iDcCxBJJTEYbeS6XHgdNgoyvfidSuiJyIiIiIiu84ONaSi0Sg33XQTP/74IyeeeCJ33303rVu3Tj/ZIxKJsGbNGn755Rc+//xzDj74YN5++23222+/2h6/iIisEzOSrCgNEYsnqiN6VTHGPPINH3/we7pm3855jHq2H23aZeEPxTGSKbxuBx6njQyPk8J8ryJ6IiIiIiKyy1nMjac2bUUoFOLCCy/k5ptvpm/fvtv0nkWLFnHzzTfz6KOPsv/+++/QQHdnejyziOxqVaE4q8rDGOueovfbwgoG3TmN3xdVpWvOuXAf7ht4OBabhUDEwAJkeqsXLi/I8ZCX6VJET2Q3oM8VUhu++eYbbrzxRn777Tf22WcfnnvuuSb5OV1EROrPdv8a/PHHH2fs2LHb3IwC6NChA++//z4vvvgifr9/628QEZFtkjKrI3ory0JEYgaVwTgff7CIa87/LN2M8vocPPZkH4qHHkECE384jsNmJSfDhddlp22LTK0XJSLShJSWlnLGGWcwatQo1q5dy6mnnsppp51W38MSEZEmZrtmSIVCISorK2nVqtUOHSwej7NixQr22GOPHXr/7kq/yRSRXSGeSFJSGlq3VpRBlT/Gk8O/5aN3F6VrOu2bx+hn+tJ2jywCYYNEMoXP7cDjspPhcVCY58WmiJ7IbkWfK2RnffHFF/zvf/9j2LBhAAQCAbKysli9ejXNmzevlzEZhsH8+fN3epbWju6nsrKSuXPn0rNnz506voiIbLvt+hbi8/l2uBkF4HQ6m1wzSkRkVwiE4yxZFSAUqZ4V9euvFVx74cQNmlFnndeJN98/iaK2mVQG46RMk2yfC6/bTvNcD60KfGpGiYg0Qf369Us3owCmTp1KYWEh+fn59Tamk046iZtuuqnO9tOnT58NZgYfcsgh3H///Zt9vaFZuHAhp512GgUFBRQUFHDdddcRDAa3+r6XXnqJ/fffH5fLRVFRETfddBOVlZU7XPfKK69w0EEH4fP52GuvvXjsscdqPOxKRGRzduope+utWbOGWbNmbfIfKYCLL764Ng4jItLkmabJ2soI5YEYMSNJMGIw8d+LGTnkKyLhBABer51BD/fkxFM7EIomiIYNnA4bGR4HLoeNonwfHlet/PMvIiK7uTVr1nD99dfzxBNPYLPZ6m0c0Wi0Tvezxx57UFpamv5zMpnc4usAM2bMoHPnzuTk5Oz0OHfGb7/9Rvfu3cnPz+eee+6hsrKSJ598krlz5/LFF19gt2/6//HDhg3jgQce4IwzzuDyyy9n3rx5PPfcc8yYMYOZM2fidDq3q2706NHcfvvtnHDCCVx22WV888033HXXXSSTSe655546+/sQkd3Xdi9qvrHPPvuMs846i1AotMluuMViqfEPfFOjqfUiUhuMRIqSshDhqEEomqDKH+WpEd/xwdu/pWv26pjDE88dTbs9sghENozoZXqdtMzzYLNqVpTI7kyfKxqX7777jptuuomvv/4awzB49dVXufDCC+vk2LFYjL59+9K9e3dGjRpVJ8fcnD59+gAwadKketlP+/btad++/Wbf9/PPP3PEEUfw448/0r59+50a487629/+xg8//MDPP/9MXl4eUP2d7Pjjj+f555/nmmuuqfGeP/74gw4dOnDXXXfx8MMPp7dPmDCBc845h2effZbrrrtum+vKy8tp27Yt5513Hi+88EK6rl+/flRUVPD999/vwr8BEWksdvpbye23306bNm343//+x++//87ixYs3+Pn999+3vhMREdmiUMRgySp/9VpRoTi/Lqjg2ov+u0Ez6vSz9mbCh6fQqm0mlaE4pmlWL1zuttMi10tRvlfNKBGRBmTVqlX069ePHj168PXXX/PLL79w8skn19nxr7jiCrKzsxk5cmSdHXN39c033xAIBOp7GCxbtoxPP/2UK6+8Mt2MAujfvz8HH3wwY8eO3eT7Pv74YxKJBDfeeOMG288++2y6dOnC22+/vV11ubm5zJo1ixEjRqRrTNPE7/fTrFmzWjlXEWn8dvqbyeLFi7n66qvp06cP7du3p127djV+RERkx6yP6C1bGyQSS1AZjPHZfxZz1fmf8NuCCgDcbhuPPH4UQ0f2IolJIBLHabeSve4peu1aZJKb6WrQa2GIiDRF48ePp3Xr1jz22GMceOCB7LPPPpuc9TZ//nzefffdbd7vV199Rfv27bnjjjs22P7ll1/StWtXPvroIx5++GG+/fZb3nzzzS1G9QYOHMg555zD4MGDadeuHS6XiwMOOIAPPvhgg7oHH3yQE044gZdeeok99tgDn8/Hxx9/DMBrr73GQQcdhNvtpqCggLPOOov58+fXOFYsFqO4uJi99toLj8dDt27d+OSTTzaoKSsr44orrqBly5ZkZGTQo0cPvvzyy+3ez0cffcRxxx232fP+6+vDhw/nsssuA6qjfBaLhTlz5vDLL79gtVp58MEHa4zR4XBwww03bLDdNE2CweA2/yQSiRrjmjVrFsAmG5dnnnkm33///Safal5eXg6Ax+Op8VqnTp347bfftqvOYrGw3377kZubSyqV4ptvvuHcc89l3rx5PPTQQzXeKyKyKTvdkOratetOT60VEZGaEskUy9YGKa2KEIoarK2IMGro1wy6ezrhUPWH1A575TDho1M48bQOVIbiRONJMjwOMr1OcjJctG+Zhdup9aJERBqiRYsWsc8++2y1bp999uG1117j22+/3ab9fvXVV6xZs4ZRo0bx888/A7BkyRLOPvtsDjjgABwOBw888EA6nrV+YeyZM2fW2NfUqVOZMGECY8aM4aKLLmLgwIGEw2FOO+00Pv/883TdlClTmDx5Mpdffjm9evVi4MCBuN1uHn/8cS666CJyc3MZOnQoV111FZMnT6Zbt2788MMPGxxr1qxZjBs3jksvvZT777+fqqoqTjzxxHRjC+CUU07hzTff5OKLL2bo0KGEQiFOOukkVqxYsV37eeedd/jvf/+72b/Dv77erl07rrjiCgBGjhzJ+PHjadu2Lfvuuy/9+/dn7NixxGKxDd6bSCS44IILNtjn0qVLyczM3Oaf1157rca4li9fDkDbtm1rvLY+SriphMree+8NVDfa/ioSifDVV1+xatWq7ar7q6uuuopu3boxYcIETjvtNA444IAaNSIim7LT31JGjhzJ0Ucfzf3338/VV1+9yd/Ab+ofTBER2bxwLEFJaYi4kSQQibP4dz+D7prGgl/K0zWnnLEXDw49AqvdSlUojtViISfDicNuo0Wuh2yfU7OiREQasFatWjFt2jRSqRTWrUSqx44dy7HHHss///lPDjnkkC3W3njjjdhsNq6//nq++uor9thjD0455RQ6dOjAP/7xD1wuF6lUapvHabfb+eKLL+jatSsA119/PZ07d2bAgAEcc8wx6bpQKMTNN9/ME088AcCKFSv429/+xjnnnMMbb7yR/n/SLbfcwn777cett966wewmr9fLjBkz0gmLm2++mS5dunDPPffw97//Hb/fz7Jlyxg3bhznnXceAMcccwz7778/M2fO5Mwzz9ym/Wyvc889l2g0yj//+U/OPPPMDdaQuu222+jfvz9vvvkml1xyCVC93tKee+7JEUccscF+CgsLmTp16jYft2PHjjW2RSIRoDoyt7GCggKATT5t7+STT6ZTp07ceOON+P1+jjnmGFatWsXgwYNZvnw5LVu23K66vzrjjDM46qijePvtt3n99dcpLS3l008/1WcQEdmqnW5IRaNRrFYrjz76KI8++ugma5r6ouYiItvKNE0qAjHWVkaIJ5IEwgZffLaURwfNJhQ0AHC5bAwccgSnnbUXoWiCcCSOa/1T9Jx2WuX7cDnr70lJIiKyba644gqefPJJLrnkEm688Uays7O3WN+lSxeOOuoonn/+eS666KIt1p599tlcf/31lJWVcemll1JaWsrXX3+Ny+Xa7nF279493YwCyMvL4/LLL+eRRx4hGAySkZEBVDeu/hpf++STT4jH4wwcOHCD5kTLli258soreeyxx4hEIul4WLdu3TZY7iMrK4tLL72UoUOHUllZSU5ODgsXLsThcLBw4UI++ugj/ve//wEbNmG2ZT+15bjjjqNLly488cQTXHLJJaxdu5ZJkyYxYMCAGrUul4sjjzxyp47XvHlzAKqqqtINqPXWN6syMzM3eeyJEydy4YUXctNNN6W3d+3alYyMjPRMvW2t+6v1Tb5LLrmEBx54gGHDhjFx4kT69++/U+cqIo3fTjekbr/9dux2OwMGDGDPPffc6m93RERk05LJFCvLwwTCcSLxJJX+KM+N+p63X/81XbNHh2zGPNuPPffOoSpkkEqZZHgcuJ12sn1OWuR6sVr1G0kRkd1B27ZtmT17NnfeeSfHHXfcJtf+2ZQrrrgCh8PBueeeu9ma/Px87HY7Y8eOZcWKFUyePJmioqIdGuem1phq3bo1wAYNqUMOOYT8/Px0zZo1a4DqdZc21rZtW5LJJJWVlZtcr2i9wsJCoPqX4AAlJSVcf/31fPLJJ7Rr147OnTtv0zlsvJ/adMstt3D11Vczbdo0fv75Z5LJ5CaflJhKpbb5GkP1TC+n07nBtvV/74sXL67RkFq/vtP6mo21bduWKVOmsGDBAv744w/atGlDNBqla9euHH/88dtdtym33HILw4YNY86cOWpIichW7XRDav78+RQXF3PffffVxnhERJqkSCxBSVmIWDxJMGKweHElg+6ezvy5f0b0Tjq1Aw8OOwK788+IXnaGE6fdRos8L9k+5xaOICIiDVHHjh358MMPt6n20ksvZd68ebz22mubjHP9VWlpKYlEgkWLFvHKK69w2GGH1cZw0xYuXEhOTk56xg6A2+3eoGZ9E2jRokXsv//+G7z2888/k5mZudUnss2dOzd9nEAgwFFHHUVOTg6TJ0/mqKOOYsmSJZtseG1pP7XtoosuYsCAATzxxBOUlZXRrVu3TV6fP/74Y5vGut748eO59NJLN9h25JFH4na7+fTTT+nWrdsGr02cOJFOnTpt0BTclE6dOtGpUyegek0uj8eTXrR9R+r+KhwOA9RolomIbMpON6RatmxJRUVFbYxFRKTJMU2TymCcNZVh4kaKQCTOlxP/4NEHZxFcF9FzumzcP7g7Z5zTkXA0QTBi4Hba8bntuJ12igp8uByK6ImINGYffvghiUSCqVOnblPsbu7cuQBceeWVW433bU1JSQnxeDw9W+ePP/7gxRdf5MILL9xiOuL444/H5XIxePBgJkyYkK5dsGABL730Etdddx12++a/jvzwww+8+OKLXHHFFVitVv773/+ybNky3nnnnXQzZuOn523LfnbE+sjh+ljcX7ndbq699loeffRRUqkUo0eP3uQ+amMNqYyMDE444QTGjh3LDTfcQF5eHgCTJk1i4sSJDB8+PF27bNky2rRps9n9jxkzhg8//JBhw4ZtsVG3ubpp06bViCAOHToUp9O51ZlUIiJQCw2pq6++muHDh3PJJZfQpUuX2hiTiEiTkEyZrC4P4w/HicQSVPijjB0zhwmvLUjXtNsjizHP9mOvTrn4QwYp0yTT48TltJGT4aJ5jkcRPRGRRu63337j3//+N6+88so2NVTKysrSM1l2ds0iqJ4NdcQRR3DRRRexatUq/vnPf9KyZUuGDRu2xfcVFhby8MMPc8cdd3DUUUdx6qmnsnbtWl544QWaNWu2wTpLVquVKVOmcMkll3DwwQezYMECxo8fz1577cXDDz8MkF776fHHH6dnz5589tln/Oc//wFIL9K+LfvZEesXMn/ggQfo1q0bVquVu+++O/36DTfcwIgRIwA2G6WsjTWkAIYMGUK3bt3o0aMHV111FaWlpTz11FMceuih6XWfHnnkEQYMGMAbb7xRYzzl5eUMHjyYJ598kiuuuGKzSZct1c2ePZtevXpx3HHHccIJJxAIBPjoo4+YPXs2o0ePplWrVjt9niLS+O10Q2revHlEIhG6devG4YcfXuNpChaLJb3YoIiIwLhRo6isqCRpc3PSZdcSjBgsWVzF4HumM++nsnTd307ag8EP98TuslEVjGOzWcjxOnE4bLTM85LlVURPRKQp2GOPPXj22We3qRmVTCY555xzqKqqAthqfGtb7LPPPrRr147i4mJsNhunnnoqjz766DYtDn777bdTWFjIyJEjeeCBB8jMzOSUU05h2LBhG4zthRdeoLi4mE8//ZQ33niDoqIibrzxRgYOHEhWVhYAffv25brrruNf//oXX375JYcccggffvghJ598MiUlJdu8nx3Ru3dvrrzySt544w1mzpzJ2LFjN3i9ZcuWdOjQgfbt2++SWOBf7bvvvkyZMoV7772XwYMHk52dzSWXXMIjjzySjk02b96czMzMDf6OBwwYwKxZs5g5cyZer5dnnnmG66+/vsb+t6Xu8MMP56WXXuLpp5/mnnvuwWaz0bVrV95//31OOeWUXXr+ItJ4WEzTNHdmBw8++OBWp57+9XGuTZHf7yc7O5uqqqqd+h+hiDQOh7dqzZqSFeS3LOSpz79l8v+W8fDAWQT8cQAcTiv3Pdidsy/oRDiaIGYk0xE9j8tOUb4PpyJ6Ik2WPlfIltx6663885//5F//+hennHIKL7/8MhdffPEO769Pnz5AdSRMNm/u3Lnst99+vP7665x33nn1PZxNuvDCC2nTpg2HHnoo/fv3Ty9Gv6N1IiI7a6cbUrva119/TXFxMTNnziQej9OlSxduvfVWzj///G16/7Rp03jvvfeYNGkSS5YsIRQK0b59e0455RTuu+++Tf5mp3379ixdunST+7vmmmt4/vnnt+sc9MFRRABSKZPVFWFO2m9vylatJLd5Szod/wJvvjI/XdO2XSajn+1Hx33zCISrI3oZHgcuh43cTBfNcjxYLYroiTRl+lwhm/PKK69w2WWX8f7779OzZ0/y8/M599xzeeONN3Z4n2pIbZvzzz+fzz//nOXLl9d4Mp6IiGzadkX2AoEAn376KWedddYOHeyHH34glUrRtWvXbaqfNGkS/fv3x+l0cu6555Kdnc27777LBRdcwJIlSzbInW/OmWeeSWlpKUceeSQXX3wxFouFSZMmMWLECN555x1mzJixyWm12dnZ3HrrrTW2H3roods0dhGRv4obSVaUhojGE6z/NUBlRWyDZlT/v7fnoUePxOG2URmMY7dZyPE5cdhtFOZ5yVRET0RENuPrr7/mmmuuYejQoZx00kmYpklRURFvvvkmHTt25M477yQzM7O+h9moPPHEEyxZsoTKykreeOMNnnzySTWjRES2w3Y1pDIzMyktLWXcuHFceeWV23Wg6dOn89577/HYY49tU30ikeDKK6/EYrEwZcqUdBOruLiYHj16UFxczFlnncXee++9xf3cdtttXHzxxenHzkL1U61uuOEGnnvuOQYPHswzzzxT4305OTkMGjRo209QRGQz/OE4q8rDxI0kgbBBLJYEwDCqF2B1OK3cc//hnHvRPoRiCUJRY4OIXqsCHw67InoiIrJpq1ev5vTTT+fEE09MLzxtsVgoLi7m2muvZcmSJXg8nh3ad2ZmJgcccEBtDrfRKCwsZPDgwbhcLgYOHMiNN95Y30MSEdmt7FBk76677mL58uUMGTKEvfbaa4u1y5cv5/HHH+f3339nwoQJ2/SYWoCJEyfSv39/LrvsMl588cUNXnvrrbc499xzue+++3b4aRkrV66kqKiILl268PPPP2/w2vqnaCxZsmSH9r0xTa0XaZpSpsnaiggVwRixeJLKQIxH7niO+V8+ioUkJjZS+Vcx6qXb6NQ5n0AkjmmSjujlrYvobfywCBFp2vS5QjYWj8cJh8NkZGRgt2/4++by8nJyc3P1/xIREWlwdugpeyNHjmTs2LEcfPDBtG7dmgMPPJBWrVrh8/kACIVClJSU8NNPP7Fo0SKGDBnC6NGjt+sY63Pqxx13XI3X1m+bPHnyjgwfAIfDAVDjf9rrxWIxXn75ZVasWEFubi5HHHEEBx544A4fT0SaFiNRHdGLxBKEogmW/lHFwGueIrL4KdZ/JbCQxF4+ltI/utOy3XHYbRYyfU6cdistFdETEZFt5HQ6NxsVy8vLq+PRiIiIbJsdakhB9eLep59+Os899xwffPAB77zzDolEAgCbzcZ+++3H6aefzjXXXENRUdF273/hwoUAm4zk5ebmUlBQkK7ZEetnXW2q4QWwatUqLr300g22HX/88bz66qsUFBRscd+xWIxYLJb+s9/v3+FxisjuJxgxWFkWIp6ojuhNm7ScYQ/MxFPxPhvPETVNk/977gm6HfM3vC47XreDonwfDvvWH+0tIiIiIiKyu6q1p+wlEgnKysowTZP8/Pz0DKQdddxxx/Hf//6XhQsXbjIW2KFDB5YvX75B42dbzZkzh549e5KRkcHcuXNrNJgeeughevfuTZcuXXC5XMybN4/BgwfzySef0KNHD6ZPn77Fac+DBg1i8ODBNbZrar1I42aaJmuropT7o8SM6ojeP5/+kVf/OReAtgzAilHjfW6vl/d+WU5elptm2W7FKkRkixTZExERkcag1hpStW1XNaQWL15Mr169KC0t5ZNPPqFv377b9L5UKkXv3r2ZNm0a//73vznhhBM2W7upGVJt2rTRB0eRRsxIpCgpCxGOGoSjCf5Y5uehe2cw59s16ZpOWc8T8y+q8d5OBx3C2zNmkuHZuUa+iDQNakiJiIhIY1ArmZAVK1YwYcIE/u///o/ffvutNnZJdnY2UD2raFPWfxjbHkuXLqVv376sXbuWt99+e5ubUQBWq5XLLrsMqH5i4Ja4XC6ysrI2+BGRxisUNViyyk8wYlAVijPpy2VcfvYn6WaU3W7hngcO484RxTVmP1ksFm4ZeL+aUSIiIiIi0qTsdEPqs88+o1OnTpx33nmcc845dOrUiX79+rFgwYKd2u/6taM2tU5URUUFpaWlm1xfanOWLFlCnz59KCkpYcKECZx44onbPab10b5wOLzd7xWRxsc0TUqrIixbEyQSS1BaGeH5J77nruu/pLKiepZkYZGPVyacwAWXdaHzkcdwy+hx2O3rHqrgcPD8u+/yt9NPq8/TEBERERERqXM73ZC65557AHjmmWeYNm0a48ePJxKJ0L17d2bNmrXD++3duzcAEydOrPHa+m3ra7ZmfTNqxYoVvPXWW5xyyik7NKbZs2cD0L59+x16v4g0HolkiuVrg6ytjBCKGvy+tIrbr/6Cl/8xl/VB6N792vDOf06h0375VIXiWC0WjjnlVHIKmgFQ0Lw5x516av2dhIiIiIiISD3Z6TWkMjIyuPrqqxk1alR6m2maXHLJJXz22WfMmzeP/Pz87d5vIpGgU6dOrFixglmzZnHQQQcBEAgE6NGjBwsWLGDu3Ll07NgRgNLSUkpLSykoKNhgkfKNm1Gnn376Fo87b948ioqKyMnJ2WD7tGnTOPbYYzFNk19//ZW2bdtu87lorQeRxiUcNSgpCxM3kgQicWZOK2HIfTMoL4sCYLNZuO3uQ7nkyv0IxRIYiSQelx2vy47P7eDsQ/Zl9YoVtGzVipnLl9fz2YjI7kafK0RERKQxsO/sDjp06EBubu4G2ywWCy+88AIdO3ZkxIgRDB8+fPsHZrczbtw4+vfvT69evTjvvPPIysri3XffZfHixQwdOjTdjAJ4+umnGTx4MMXFxQwaNCi9vU+fPixdupTu3bvz448/8uOPP9Y41l/rJ0yYwIgRIzj66KNp3749LpeLn3/+mYkTJ2K1Wnn++ee3qxklIo2HaZqUB2KUVkaIJ6qfojf++Z95aexP6VlRLVp6GfV0P/bvWoA/HMcEsnxOnHYb+VluCrLd6Bl6IiIiIiLS1G1XQ2r8+PGMGTOGXr160atXL4488kiuvvpqnn32We69914cjj8X5XW5XJx99tm89957O9SQAujbty/Tpk2juLiYCRMmEI/H6dKlC0OGDOGCCy7Ypn0sXboUgFmzZm02QvjXhlTfvn355Zdf+O6775g8eTLRaJQWLVpwzjnncNttt3HYYYft0LmIyO4tkUyxqjxMIBwnEkuybIWfoffN5JvZq9I1vXq35pFRvfBkOKkKGTjsFjI9TpwOG4X5XnxuLVwuIiIiIiIC2xnZKy8v58ILL2T69OkEAgEsFgtFRUWUlJRw0kkn8cwzz9CqVat0fXFxMcOHDycaje6Swe8uNLVeZPcWiSUoKQ0RM5IEIgazZ5Tw0L3TKSut/rfNarVwy52HcPk1+6cjel6XHY/Ljs/joCjfh93255J9PVq3ZpUieyKyg/S5QkRERBqD7ZohlZeXx8cff0wqleLbb7/lyy+/ZPLkyfj9fj788EM++ugjOnbsyLHHHku/fv34v//7P7Kzs3fV2EVEdinTNKkIxlhbGSFupKgMRHnlhbm8+NxPpFLVvfxmzb08/nQfDjykOf5wHPgzoleQ7SY/y43FsmFI74rbbyfo95OhL5IiIiIiItJE7fSi5kCNBtX06dPx+/0AXHDBBbz66qs7PdDdmX6TKbL7SabWR/QMIrEEy1cEGHr/TL6asTJdc0SvIoaP7o0300E4ltwgoleU78WriJ6I7AL6XCEiIiKNQa00pDaWSqX45ptvmDp1KhdccAEtW7as7UPsVvTBUWT3Eo0nWLEuohcMG8yeVcJD98ygdG0EqI7o3XhbV666/sAaEb0Mj4PCjSJ6IiK1SZ8rREREpDHY6afsbYrVauWwww7TAuAislsxTZPKYJw1lWHiRoqqUIxXx81l3NM/piN6Bc08PPZkH7oe1iId0cv2OXFsIaInIiIiIiIiG9olDSkRkd1NKmWyqjyMPxyvjuiVBBh2/0xmT/8zote9ZxEjxvTGl+XAv9FT9BTRExERERER2XZqSIlIkxeLJ1lRFiIaTxCKGHw9eyWD75nBmtVhACwWuOHWrlx9w4GE4wnCscRfInpOCvO9iuiJiIiIiIhsBzWkRKRJqwrGWFURwUgkqQrGeO3Febzw1A8kk9URvfwCNyOe6MOh3VsSCBtAdUTPabdRkOMhL9OliJ6IiIiIiMh2UkNKRJqkVMpkdUWYqlC8ehHzlSEeHjiTGZNXpGsO617IyCd748t2rovoWcn0OKojegU+vC79EyoiIiIiIrIj9G1KRJqcmJGkpLQ6oheMGHz7zSoG3T2d1Sv/jOhdc+NBXHfzQUTiCSKxBF6XA4/LpoieiIiIiIhILVBDSkSaFH8ozqryMPFEEn8ozusv/8LYMd+TSFRH9HLz3Ix8ojfdehQSjCiiJyIiIiIisiuoISUiTULKNFlTEaEyGCMaT7JyVZCHB85k2qQ/I3qHHNaCx57sQ2auC384jsNuI9PjwLUuoudRRE9ERERERKRW6NuViDR6cSNJSVmISCxBKJrg229WMfju6awsCaVrrr7hQK6/tSvR9RE9twOP00am10nLPEX0REREREREapMaUiLSqPnD1RE9w0hSFYrz1ivzeXbM9ySMFAA5uS6Gj+5N9yOLCEQMLEC2z4XTblVET0REREREZBdRQ0pEGiXTNFlTGaEiEKtexHxVkEcfnM2UL5ala7oe0pzHnupDdr57g4ie02GjlSJ6IiIiIiIiu4y+bYlIo2Mkkqwo/TOiN+f71Tx45zRWrvgzonf5Nftz0x2HEDMU0RMREREREalrakiJSKMSCMdZWR7GWPcUvbdeW8Azj3+XjuhlZzt5ZHRveh7VqkZEr1mOh1xF9ERERERERHY5NaREpFEwTZO1lRHK10X0Vq0JMXzQbL6c+Ee65sCuzXj86b7kFLj1FD0REREREZF6pG9fIrLbMxIpSspChKMGoWiCH+asYdDd01n+RyBdc+mV+3HLXYcQSyQV0RMREREREalnakiJyG4tGDFYWRYinkjhD8V4+/VfeWrktxjrInpZWU4efvwoevVtrYieiIiIiIhIA6GGlIjslkzTpLQqSpk/StxIsmptmBGDZ/O/T5emaw44qBmPP9WH3OYeRfREREREREQaEH0bE5Hdzl8jeuFYgh9/WEvxXdNYtvTPiN5Fl3fh9nsOVURPRERERESkAVJDSkR2K6GIQclfInrvvrWQJ4d/QzxeHdHLzHIydEQv+hzTRhE9ERERERGRBkoNKRHZLWwc0VtdFmbkQ1/x3/8sSdd02b+AUc/0Ib+FVxE9ERERERGRBkzfzkSkwUskqyN6oUh1RO/nn0opvmsaSxf70zUXXNKZO+/rRiypiJ6IiIiIiEhDp4aUiDRooajByrIwMSNJIBTj/bd/Y8wj3xCLJQHwZTgYOqIX/fq3JRg2AEX0REREREREGjo1pESkQTJNkzJ/lNKqKPFEkjWlER4f+hWffrQ4XbNv5zxGPduPZoVe/CEDh91KpseB02GjlSJ6IiIiIiIiDZa+rYlIg5NIplhZFiIYMYjEEsydW8qDd05nye9V6ZpzL9yHux84jHgqVR3RcznwuGxkeJwU5iuiJyIiIiIi0pCpISUiDUo4alBSFiZuJAlE4nzwzm+MGvY1sWh1RM/rc/DQoz059u/t/xLRc+K02yjI8ZCniJ6IiIiIiEiDp4aUiDQIpmlS7o+xtiqCkUiytizC48O+5uMPfk/XdNo3j9HP9KVFK1+NiF5RgQ+vInoiIiIiIiK7BX17E5F6Vx3RCxOMxInEEsz7pYziO6fx+29/RvTOOq8T9z54OIaZIhxL4HXZ8bjsiuiJiIiIiIjshtSQEpF6FY4lKCkNpSN6/37/dx4b8hXRSAIAr9fOoId70v+kPRTRExERERERaSTUkBKRemGaJuWBGKWVEeKJJKXlEUY/+g0fvbMoXbN3p1xGP9OXwjYZ6yJ6FjI9zuqIXr4Xr9tRj2cgIiIiIiIiO0oNKRGpc4lkilXlYQLhOJFYkvnzy3jwrmks+rUyXXP62R0ZMKg7CUxF9ERERERERBoZNaREpE5F1kX0YkaSQMTgkw9/Z+RDswmHqyN6Ho+dB4cdwd9P2XODiJ7DbqNZtoe8LEX0REREREREdndqSIlInTBNk4pAjLWVEeKJFKUVEZ4Y/g0f/N9v6ZoOe+cw+tm+tGqbpYieiIiIiIhII6aGlIjscslkipXrI3rxJAsWlFF853QWLqhI15xyxl488FAPkhYIx4y/RPQcFOb7FNETERERERFpRNSQEpFd6q8RvWDE4NP//M6IQV8RClXH8dxuGwOHHMFJp3cgsC6il7X+KXrZbvKz3IroiYiIiIiINDJqSInILrFxRK+sMsKTI77lvbcWpmv26JDNmGf70XqPLKo2iugV5nvxKaInIiIiIiLSKKkhJSK1bn1ELxgxiMQS/LqwnOK7prNgXnm65qRTOzBw6BGkrBCOGnhcdrwuOz6PgyJF9ERERERERBo1NaREpFZFYglKykLE4tURvYmfLObR4tmEgtVxPKfLxv2Du3PqmXsTjBqYScjyVs+KUkRPRERERESkaVBDSkRqhWmaVATXRfSM6ojeM6O+5+1/LUjXtNsji9HP9KXdXjn4wwZ2m4VMnxOn3UpRgU8RPRERERERkSZCDSkR2WnJVIpVZWEC6yJ6C3+rYNDd0/nl57J0zd9P3pNBw3pi2jaK6Lmrn6LnsCuiJyIiIiIi0lSoISUiO2XjiN7nE5fw6IOzCfjjQHVE774HD+f0czrWiOjlZ7kpyFZET0REREREpKlRQ0pEdsjGEb1yf4TnRs3hrVfnp2vatstk1DP92LPjJiJ6+T58HkX0REREREREmiI1pERku20c0Vv0eyWD7p7O3B9L0zXHn7AHgx/pCXYLob9E9Lzu6qfoKaInIiIiIiLSdKkhJSLbJR3RM5IEwwZffr6UhwfOwl9VHdFzOK3c88DhnHV+p3URPTMd0cvLctNMET0REREREZEmTw0pEdkmG0f0KvxRnn9iDm+89Eu6pnWbTEY905e99smtEdErzPeRoYieiIiIiIiIoIaUiGyDjSN6vy+pZPDdM/hpztp0zTH92zFkxJFYnVZCUQO3047PrYieiIiIiIiI1KSGlIhs0cZP0Zv85R8Mu38WVZUxABwOK3cO6MZ5F+9LMJLASKTI9DpxOWzkZbpoluNRRE9EREREREQ2oIaUiGxSjYheIMo/nvyBf704L11T1DqDUU/3pVOXPPwhA5vNQo7PicNuozDPS6bXWY9nICIiIiIiIg2VGlIiUsPGEb0lS6sYfM90fvjuz4je0ce1ZcjIXtidVoKRPyN6HpedVgU+HHZbPZ6BiIiIiIiINGRqSInIBjaO6E2dvIyhA2ZSWVEd0bPbLdxxbzcuuKwzwUiC+F8iermZLporoiciIiIiIiJboYaUiACbjuiNe+ZHXn1hbrqmsJWPUU/1ZZ/98/GHDKzWdRE9h42WeV6yFNETERERERGRbaCGlIjUiOgt/aOKh+6bwfdfr0nX9Dm6DQ8/fhR2V82IXlG+D6dDET0RERERERHZNmpIiTRxG0f0ZkxbwZD7ZlBeFgXAZrNw292HctEVXQhFE8SNFBkeJ26njZwMF81zPVgV0RMREREREZHtoIaUSBO1cUSvMhhl/HM/89LYnzDN6poWLb2MerofnQ8sIBAxsFosZGc4cdrXRfR8iuiJiIiIiIjI9lNDSqQJSiZTrCr/M6L3x3I/Q+6bybezV6VrevVuzaOjj8LptROMxHE5bGR4HLiddooKfLgU0RMREREREZEdpIaUSBOzcURv5vTqiF5Z6Z8RvVvuPIRLr9qPYCxBNJ5MN6KyfU5a5HqxWhXRExERERERkR2nhpRIE7GpiN7LY+cy/vmfSKWqM3rNW3h5/Om+7N+1Gf51Eb2cDCcOu42WuR6yM1z1fBYiIiIiIiLSGKghJdIEJJMpVpaHCa6L6C1fEWDIgBl8PfPPiF7Po1rx6KijcGc4CIT/jOi5nHZa5ftwORXRExERERERkdqhhpRII7dxRG/2rBIeumcGpWsjAFitFm66/WCuuG5/QtEE0XgCn9uBx2Uny+ekpSJ6IiIiIiIiUsvUkBJppEzTpCKwLqKXSFEVjPHqP+cy7ukf0xG9gmYeHn+qLwce2hx/2MBigZwMFw67lRa5XrJ9TiwWNaNERERERESkdqkhJdIIrY/oBcJxIvEkK0oCPHz/TGZNX5mu6d6ziBFjeuPNrI7oOe02MrwOXA4brQp8uJ3650FERERERER2DX3jFGlkIrEEJaUhYkZ1RO+br1Yy+J4ZrFkdBsBigRtu7cpVNxxIOJYg8peIXqbXQcs8HzZF9ERERERERGQXUkNKpJHYVETvX+Pn8cJTP5BMVkf08gvcjHyiL4cc3oJAxMACZPtcOB1Wmud4yclQRE9ERERERER2PTWkRBqBRDLFqr9E9FauCvLwAzOZMaUkXXNY90JGPtkbX7YT//qInseBy2mjKN+Hx6V/DkRERERERKRu6BuoyG4uEkuwojRE3EgSiBh8980qBt89ndWr/ozoXXvTQVx380GE4wkisQRetwOP00am10lhnhebzVrPZyEiIiIiIiJNiRpSIrsp0zQpD8QoXRfR84divP7yL/zjiTkkEtURvbx8NyPG9KbbEYUEwgYA2T4nTruNZjkecjNdiuiJiIiIiIhInWvw0yK+/vpr/v73v5Obm4vP5+Owww7j9ddf3+b3T5s2jTvuuINDDjmE/Px83G43++yzD/fccw+VlZW77Lgiu1IimWL52hBrKsKEogmWlfi59+bJPPv49+lm1KGHt+Tdj0+l62Et8YcMbDYLORkuPC4HbVpkkpflVjNKRERERERE6oXFNE2zvgexOZMmTaJ///44nU7OPfdcsrOzeffdd1m8eDHDhg1jwIABW91Hy5YtKS0t5cgjj6Rr165YLBYmTZrE999/T4cOHZgxYwbNmzev9eP+ld/vJzs7m6qqKrKysrbrvSIbC0cNSsrC6YjenO/WMOjuaawqCaVrrr7hQG64tSsRI4mRSOJ12fG47GR4HBTm+7AroicistvS5woRERFpDBpsQyqRSLDPPvuwfPlyZs6cSdeuXQEIBAL06NGDBQsWMG/ePPbee+8t7mf48OFcfPHFFBYWpreZpskNN9zAc889x/XXX88zzzxT68f9K31wlB01btQogn4/GVlZXHHbbZT7Y6ytimAkkvhDcSa8toBnR39PwkgBkJPrYvjo3vTo1YpAJI5pQqbXgdNuoyDbTb5mRYmI7Pb0uUJEREQagwY7TeKLL75g0aJFnH/++emmEEBmZiYDBw4kkUgwfvz4re7nnnvu2aAZBWCxWBg4cCAAkydP3iXHFakN/xw1iicGD2bcqFEsXxtkTWWYcNRg+cog9982lSdHfJtuRh18aAve/fhUuh1RSFUojtWyLqLntNOmeQYF2R41o0RERERERKRBaLCLmk+aNAmA4447rsZr67dt3EzaHg6HAwC7fcO/gl19XJEdkUyaBMIGgUicH+eUMuiuaZSsCKZfv+La/bnp9kOIJZKEogYelx2vy47PXR3Rc9gbbO9ZREREREREmqAG25BauHAhwCajcbm5uRQUFKRrdsSLL74I1Gw87erjimwr0zRJrUvUmphUBKK8/fqvPP34d+lZUdk5Lh4ZdRS9+rTGH66O6GV5nTgdNvKz3BRkK6InIiIiIiIiDU+DbUhVVVUBkJ2dvcnXs7KyWL58+Q7te86cOQwePJjmzZtz99131/pxY7EYsVgs/We/379D45SmK5FMUVIWIpmqbkglkyYD75zGlxP/SNccdHBzHnuqD3nNPFQG49htFjJ91etFFeb7yPA46mv4IiIiIiIiIlvU5HI8ixcv5sQTTySZTPLmm29SUFBQ68d45JFHyM7OTv+0adOm1o8hjVcoarBkVYCJ779PZWkpABVr1zJ74sfpmsuu2o+X3vo7WXkuQlEDt9NGts9JhttJ+5ZZakaJiIiIiIhIg9ZgG1LrZyitn7G0sfVPmNkeS5cupW/fvqxdu5a3336bvn377pLj3nfffVRVVaV/li1btl3jlKbJNE3WVkZYtibIFx99wLBrLiaZMACwkKQZr5Dvmc8z447h9vu6EY4liCdSZHqdZHgc5Ge5adsiQ+tFiYiIiIiISIPXYL+5rl/DaVPrNVVUVFBaWrrJdZ42Z8mSJfTp04eSkhImTJjAiSeeuMuO63K5yMrK2uBHZEuMRIpla4KUVkUIRQ1ef3JUjRoLJge0/5YjereiKhgHIMfnxOOy06rAR/Ncr9aLEhERERERkd1Cg21I9e7dG4CJEyfWeG39tvU1W7O+GbVixQreeustTjnllDo5rsi2CEYMlqzyE4gYVIXi/PjDWpbM/2WTtSVLfyUYMXA6rORkOPF5HLRvkUmm11nHoxYRERERERHZcQ22IXX00Uez55578vrrrzNnzpz09kAgwJAhQ7Db7Vx66aXp7aWlpcyfP5/SdWvurPfXZtSbb77JaaedVqvHFdlR6yN6y9cGicQSVASivPvWr1x74UTiZotNvqfVnp3I8DjI9DrJzXTTtkUmToetjkcuIiIiIiIisnMa7FP27HY748aNo3///vTq1YvzzjuPrKws3n33XRYvXszQoUPp2LFjuv7pp59m8ODBFBcXM2jQoPT2Pn36sHTpUrp3786PP/7Ijz/+WONYf63f3uOK7AgjUf0UvXDUIBxLUFYe4fGhXzPxP0sAqKIfzXkFMNPvsVgsnHfTbXhdDlrkecn2aVaUiIiIiIiI7J4abEMKoG/fvkybNo3i4mImTJhAPB6nS5cuDBkyhAsuuGCb9rF06VIAZs2axaxZszZZ89eGVG0dV2RzghGDlWUh4okUgXCc+b+UM+iuaSxd7E/XnHbJ2fQ6rC8jb7mKZMLAZncw4NkX6XPiybQq8OHSrCgRERERERHZjVlM0zS3XiY7Y/2T+aqqqrTAeRNmmiZrq6KU+6PEjCSBcJx/v7uIMY98QyyWBCAj08HQ4b045m/tCIQNru/blYo1q8hvWciHPy+kZa4Xq1ULl4uINGX6XCEiIiKNQYOeISXSWBiJJCWlYcIxg3A0QVllhNHDvuHTjxana/btks/oZ/tR2MpHZTCOxUK6+WSzWinM01P0REREREREpHFQQ0pkFwuE46wsD2MkkgTCBgsXVPDgndNY8ntVuubcC/fhngcOI2kBfziO024jw+vAQnUDympBzSgRERERERFpNNSQEtlFTNNkTWWEikCMmJEkGDH45IPfeXzoV0Sj1RE9r8/BkOFH0v+EPQiG4xjJFD63A4/LTqbXgc2mJpSIiIiIiIg0PmpIiewC8USSktIQkViCUDRBZVWUMY9+y3/eW5Su6bRvHqOf7UerthlUBWMAZPtcOO1WmuV6yM1woXaUiIiIiIiINEZqSInUMn84zqryMIaRJBAxWLSwkuK7prFoYWW65uzzO3Hvg4djWsAfMnDYrWR6HLgcNooKfHhc1bfmFbffTtDvJ0OL1oqIiIiIiEgjooaUSC1JmSZrKiJUBmPE4kmCUYPPPlrMY0O+IhJJAOD12hn0cE9OOKUDgYiBkUjiddnxuOxkeJwU5nux26zpfV55++31dToiIiIiIiIiu4waUiK1IG4kWVEaIhqvjuhV+aM8Ofw7Pnznt3TN3p1yGfNsP9q0z6IyFMM0IcvnxGm3UZDtJj/LrYXLRUREREREpElQQ0pkJ/lD1RG9+Lqn6C1ZVEXx3dNYuKAiXXPGOR0ZMKg7FpuFqlAcu81Cps+Jy2GjMN+Lz+2oxzMQERERERERqVtqSInsoFTKZHVFmKpQnGg8SShi8PknSxg+eDaRcHVEz+Ox8+CwIzj59L0IRgzi0QQelx2vy47P7aCowLdBRE9ERERERESkKVBDSmQHxIzqp+hF4wmCEQN/MM4zI7/jvQkL0zUd9s5hzLP9aN8hm6pgnJRpkuV14nTYyM9yU5CtiJ6IiIiIiIg0TWpIiWwH0zSpCsVZXRHBWBfRW7qkiuI7p/Hr/D8jeqeeuTcPPNQdm8NKZbA6opezbr2ownwfGR5F9ERERERERKTpUkNKZBulUiarKsL4Q/F1M6MSTPrvHzxaPItQ0ADA7bYxcMgRnHbW3gQjBpGIgdtpx+eufpJeq4IMHHZF9ERERERERKRpU0NKZBtE4wlKysLE/hLRe370HN5+fUG6Zs8O2Yx+rh977pVDZTBOKmWS6XHictrIzXTRPMejiJ6IiIiIiIgIakiJbJFpmlQG46ypDGMkUgTCcZb9EWDQXdP5ZW5Zuu6kUztQ/HBPbA4rVaE4VouF7Izq9aJa5nnJ8jrr8SxEREREREREGhY1pEQ2I5kyWVUeJhCOE4klCEUNpv5vOQ8PnElwXUTP5bJx/+AenHHO3oRjSYKROC6HjQyPA7fTTqsCH06HrZ7PRERERERERKRhUUNKZBMisQQlZSFiRpJgxCAYivOPMT/w1mvz0zXt98xmzLP92KtTDv6wQSKZSjeisn1OWuR6sVoV0RMRERERERHZmBpSIn9hmiYVwRhrKyPEjRSBSJwVy4IMunsa8376M6L395P35KFHemJ32agMxrFYICfDhcNuo2Wuh+wMVz2ehYiIiIiIiEjDpoaUyDrJZIqV5eHqp+Oti+hNn7SCYffPJBCIA+B02RhQ3J2zzutIJJ4kEI7jtNvI8DpwO2wUFWTgdiqiJyIiIiIiIrIlakiJsC6iV/pnRC8UiTPuqR95/aVf0jVt22cx+pm+dOqcTyAcx0im8LkdeFx2Mr1OWuZ5sSmiJyIiIiIiIrJVakhJk2aaJuWBGKWVEeLrnqK3siTI4Lun89MPpem640/YgyHDj8TpsVEVjAGQ7XPhdFhpluMhN8OFxaJmlIiIiIiIiMi2UENKmqxEMsXKsjDBSJxIPEk4ajBrSglD7p+Bv6o6oudwWrnngcM576J9iMaT+EMGDruFTI8Tl8NGUYEPj0u3kYiIiIiIiMj20DdpaZLCUYOSsjBxI0kgYhCJJHjxmR949cV56ZrWbTIZ81w/9u2STyBiYCSSeF12PC47GR4nhfle7DZrPZ6FiIiIiIiIyO5JDSlpUkzTpMwfpbQqSjyRJBg2WL0qxOC7p/PD92vTdcce356hI47E43NQGYphmpDlc+K022iW7SEvSxE9ERERERERkR2lhpQ0GUYixcryEKF1T9ELxxJ8PX0Vg++bTlVl9bpQDoeVu+4/jAsu2ZeYkaIqFMdus5Dpq47oFeZ78bkd9XwmIiIiIiIiIrs3NaSkSQhFDErKQsQTqeo1o6JJXnruJ15+4ed0TavWGYx6ph/7HVhAMGIQN5J4nHa8bjtet4OifB8OuyJ6IiIiIiIiIjtLDSlp1EzTpLQqSpk/ml4vqnR1mMH3Tuf7b9ak644+ri3DHjsKX4aDqmCclGmS6a2eFZWX5aZZtlsRPREREREREZFaooaUNFpGIkVJWYhw1CAcSxCJJfhu1moG3TudivIoAHa7hTvuO4yLL+9MPJGiKhjHZrOQ43PisNsozPOS6XXW85mIiIiIiIiINC5qSEmjFAjHWVUeJp5IEQjHicaSvPqPn3nx+Z/SNYWtfIx6uh8Hdm1GMGIQM5K4nXZ87uon6RUV+HDabfV4FiIiIiIiIiKNkxpS0qiYpsnaygjlgRgxI0kwYlC6NszQ+2byzexV6bo+R7fhkVG9ycx0UBmMk0yZZHgcuJ12cjJcNM/1YFVET0RERERERGSXUENKGo14IklJaYhILEEomiAaT/D9V6sZdM90ysuqI3o2m4Xb7j6Uy67eHyOZojIUx2qxkJPhxGm30TLPS5ZPET0RERERERGRXUkNKWkU/OsiekYiSSBsEIsn+de4uYx79kdMs7qmZaGPUU/35aBDmqcbVi6HjQyPA5fTTqsCHy6HInoiIiIiIiIiu5oaUrJbS5kmayoiVAb/jOhVlEUZct90vpr5Z0SvV5/WDB/dm6wcF1WhOIlkCp/bgcdlJ8vnpGWuF6tVET0RERERERGRuqCGlOy2YkZ1RC8a/zOi9+O3a3jwrumUlUaA6ojeLXcewhXXHkAimaIyGMNigWyfC6fDSvMcLzkZTixaL0pERERERESkzqghJbulqlCM1eUR4usiekYiyRsv/sI/nv6BVKo6o9e8hZfHn+7LId1aEI4liMQSOO3rI3o2ivJ9eFy6BURERERERETqmr6Ny24llTJZXRGmKhSvnhkVSVBZEWPogBnMml6Srut5VCtGjOlNTq4b/7qGldflwOOykel1UpjnxWaz1uOZiIiIiIiIiDRdakjJbiMaT1JSFiIWTxCMGMSMJHPnlDLwzqmsXVMd0bNaLdx0+8FcfcOBJFMmlcEYANm+6qfoFeR4yMt0KaInIiIiIiIiUo/UkJIGzzRNqkJxVleEMRIpAmGDRDLFWy/9wnNPzElH9AqaeXj8qb50696SaDxJKJrAbrOQ6XXictgoyvfidTvq+WxERERERERERA0padCSKZPV5WH84TiRWIJQ1CBQFWfY/TOZPmVFuq57zyJGPtGHvAI3gYhB3Ejicdnxuuz4PA6K8n3YFdETERERERERaRDUkJIGKxJLVEf0jCTBdU2mX34s44E7prJmdRgAiwVuuO1grr3xQEygKhgnZZrpWVH5WW4Kst2K6ImIiIiIiIg0IGpISYNjmiYVwRhrKyPEjRSBSJxk0uTtV+fzzOjvSSb/jOiNfKIPhx9RSMxIEooksNks5KxbL6ow30eGRxE9ERERERERkYZGDSmpV+NGjSLo95ORlcWVt99OIpliVXmYQDi+bh0og1DAYNgDM5n65fL0+w7vUcjIJ/tQ0MyTXuDc7bTjc9vxuOy0KvDhsNvq8cxEREREREREZHMspmma9T2Ixs7v95OdnU1VVRVZWVn1PZwGpUfr1qxasYKWrVrxv0VLWFn6l4heIsmvc8u5//aprFoZAqojetfd3JXrbzkIAH/YIJUy8XkcuJ02cjNcNMv1YFVET0REGil9rhAREZHGQDOkpEFImSbLVgeIJ5IEwgYp0+S913/lyce+JZGo7pnm5bsZ8UQfevZqlW5aWS0WsjOqI3ot87xk+Zz1eyIiIiIiIiIislVqSEm9Wj89L5kyCUUNwrEE4YDBIw/OYtL/lqXrDj28JY8/1Ydmzb0EIwbReAKXw0aGx4HLWR3RczkU0RMRERERERHZHaghJfUmFDXSC5SbJoRjSRb9UsF9t09h5YpQuu6aGw7kxtsPxmK1UBWKk0im8LkdeFx2snxOWuZ6sVoV0RMRERERERHZXaghJXXONE1Kq6KU+aOsX8LMNE0+eOtXxgz/Jh3Ry8l1MWJMH3r1aU3cSBIIxrFYINvnwumw0jzHS06GE4vWixIRERERERHZraghJXXKSKQoKQsRjhpM+s+HVJaVAlCxdi3PDhtPgv0AOPjQFjz+dF9atPQSjhqEY0kcdiuZHgcup42ifB8el/7zFREREREREdkd6Ru91JlgxGBlWYh4IsUXH33AqJsv//NFM0kzXmEtF3P+dedz8x2HYLNZ8IcNjEQSr8uBx2Uj0+ukMM+LzWatvxMRERERERERkZ2ihpTscqZpsrYyQnkgln463vv/eLJGnQWTA/f4ljvuHY2RSFEZioEJWb7qp+g1y/GQl+lSRE9ERERERERkN6eGlOxScSNJSVmISCxBKJogGk8QjyZZ/Msvm6yvWL04XWu3Wcj0OXE5bBTle/G6HXU8ehERERERERHZFdSQkl3GH46zqjyMYSQJRAwSSZM/Fvm595bJJJLNcbGsxnta79WRUNTA47LjddnxuR0UFfiwK6InIiIiIiIi0mjoW77UulTKZFV5mJLSEJFogspQnFTK5NP3FnHpOR+z7I8AVfTDZMPoncVi4aQrbiLT68TndpCf7aFN8ww1o0REREREREQaGX3Tl1oVM5IsXR2gIhAlGDEIROLEowmG3DuDYcWzMOIpAPY6qC83PjwWu6M6hmezO7j9yRc5+uST8bjstCrw0TzHo/WiRERERERERBohRfakVpimSVUozuqKCEYiSSBskDJNViwOcPctk/ljiT9de/EVXbjj3m44HFbeeKKY8tUryc4v4OiTqptRRQU+nHZbPZ6NiIiIiIiIiOxKakjJTkumTFZXhPGH4kTjCYKRBFYLfPbB7wwf8hXxWBKAzCwnw0b24tjj25NMpqgKxTHN6n1YLJCb6aZ5rgerZkWJiIiIiIiINGpqSMlOicYTlJSGiBpJQhGDmJEkGTd59KHZ/OfD39N1+x1QwOhn+tG6bSYxI0kwYmC1gHVdaNRmtdIyz1tPZyEiIiIiIiIidUkNKdkhpmlSGYyzpjKMkUgRCMdJmbByaZC7b5nMkt+r0rUXXtqZuwYchsNpJRQ1iMQSOB02MjyO9BpRVk2KEhEREREREWky1JCS7ZZMplhVHiYQqW4uhaIGNquFz/+9hEcGzSK2LqKXkelg6PBe9D9hD5IpE38ojpFM4XM78LjsZHmdXHXH7YQDATKysur5rERERERERESkrqghJdslEktQUhYiFq+O3cUTSUzD5JGhs/novUXpun275DPmuX60bZdFPJEkGDYAyPa5cDqsNM/xkpPh5Oo77qivUxERERERERGReqKGlGwT0zQpD8QorYwQXxfRM4HVy0PcfdMkfl/0Z0Tv3Av34d6Bh+N02QjHEoSjCRx2C5keJy6HjaICHx6X/tMTERERERERaarUFZCtSiRTrCwLE4zEicSThKMGDpuVzz9eytCBM4hGqyN6vgwHDz16JH8/aU9SKZNAuHoGlddlx+Oyk+FxUpjvxW6z1vMZiYiIiIiIiEh9UkNKtigUNVhZFiZuJAlE4hgJE5Imjw6exfvv/Jau26dzHqOf7Uf7PbKrFzmPxDFNyPI6cTpsFGS7yc9ypxcxFxEREREREZGmSw0p2STTNCmtilLmj26wBtTakhB33TSJRQsr07Vnn9+J+4q743LZ1i1ynsBus5Dpc+K0Wykq8OFzO+rpTERERERERESkoVFDSmowEilKykKEowbhWIJILIHDbuPLT5by0AMziEQSAHi9dgY/ciQnntoB0zQJRgxiRhK3047PbcfrdlCU78NhV0RPRERERERERP6khpRsIBgxWFkWSi9cnkiaWLEwcvBs3nnr13Rdx31yGfNsP/bokEMimSIQNkiZJpne6oXLczNdNM/xKKInIiIiIiIiIjWoISVAdURvbWWE8kCMmJEkGDGwWKB8dYS7bvqSX+dXpGvPOKcj9w/ugcdjJxZPEowaWC0Wsn3V60W1zPOS5XXW49mIiIiIiIiISEOmhpQQTyQpKQ2l13+KxhM4HTYmffYHgwdMJxyujuh5PHaKHz6CU07fOx3Ri8YTuBw2MjwO3E47rQp8OB22ej4jEREREREREWnI1JBq4vzhOKvKwxhGkkDEIJE0sWHhsYe+4v/eWJCu67B3DmOe7cdeHXNJpqojeolkCp/bgcdlJ9vnpEWuF6tVET0RERERERER2TI1pJqoVMpkTWWEymBsg9hd1doId940ifnzytO1p565NwOH9MDrdRBf17iyWCDb58LpsNIi10u2z6n1okRERERERERkmzT4x599/fXX/P3vfyc3Nxefz8dhhx3G66+/vs3vX7NmDY888ghnnnkme+yxBxaLZauNk/bt26frNv659tprd/aU6l3MSLJ0dYCKQJRAOE4gEsdptzLjy+WcffJH6WaU223j4cd68cjjR+Hx2AlHDfxhA4fNSo7Phddtp12LTHIyXGpGiYiIiIiIiMg2a9AzpCZNmkT//v1xOp2ce+65ZGdn8+6773LBBRewZMkSBgwYsNV9zJs3jwEDBmCxWNh7773xer2Ew+Gtvi87O5tbb721xvZDDz10R06lQTBNk6pQnNUVEYxEMv1kPIfVyqhhX/Pma/PTtXt2yGb0c/3o2CmPVMokEDEwEkm8Lgcel41Mr5PCfC82a4PvaYqIiIiIiIhIA2MxTdOs70FsSiKRYJ999mH58uXMnDmTrl27AhAIBOjRowcLFixg3rx57L333lvcz+rVq1mwYAFdu3YlMzOTffbZhwULFrCl027fvj0AS5YsqZVz8fv9ZGdnU1VVRVZWVq3sc3slUyary8P4w3Gi8QTBSAKb1ULl2gh33DiJX+aWpWtPOq0DxcN64vM5MBIpApE4mJDhdeCy2yjI8ZCXqVlRIiIi9aEhfK4QERER2VkNdnrLF198waJFizj//PPTzSiAzMxMBg4cSCKRYPz48VvdT4sWLTjqqKPIzMzclcNt0KLxBEtW+akMxQiE4wQjBm6nja+mlnD2yR+mm1Eul40hw49k+OjeeL12IrEEVaE4VouF7AwXXpeDNs0zyM9yqxklIiIiIiIiIjuswUb2Jk2aBMBxxx1X47X12yZPnrzLjh+LxXj55ZdZsWIFubm5HHHEERx44IG77Hi7gmmaVARjrK2MEDeqZzqZJrisNp549Btee2leurb9ntmMebYfnfbNI2WaBCMGcSOJx2nH67bjczsoKvBhtzXYHqaIiIiIiIiI7CYabENq4cKFAJuM5OXm5lJQUJCu2RVWrVrFpZdeusG2448/nldffZWCgoItvjcWixGLxdJ/9vv9u2KIW5RMplhZHiYYMYjEEoSiBnablaryKHfeOImffyxN155w8p4MfqQnvgwniWQqvbZUpteJy2EjL8tNs2zNihIRERERERGR2tFgp7tUVVUB1YuLb0pWVla6prZdfvnlTJo0ibVr1+L3+5k1axZ/+9vf+PTTTzn55JO3uP4UwCOPPEJ2dnb6p02bNrtknOuNGzWKMYMGMW7UKADCsQRLVgXwh+L4Q3FCUQOPy87XU0s468QP080op8vGoId7MvLJPvgynETjSapCcQByfE48LjutCnw0z/GoGSUiIiIiIiIitabBLmp+3HHH8d///peFCxey11571Xi9Q4cOLF++fIOZSNtiWxY135RUKkXv3r2ZNm0a//73vznhhBM2W7upGVJt2rTZZYuP9mjdmlUrVtCyVSv+Pfc3SqsixNc9Rc8E3DYrTz7+Ha/8c276PW3bZzH6mb503q8A0zQJRRNE4wlcDhsZHgcel52iAh9Ou63WxysiIiI7Touai4iISGPQYGdIrZ8ZtblZUOs/jNUVq9XKZZddBsD06dO3WOtyucjKytrgpy4kUyZrKsOEogZVoTg2m4VQZZzLz/90g2bU8SfswTv/PoXO+xWQTKWoCsWJxpNkeBxkep3kZLho2yJTzSgRERERERER2SUabENq/dpRm1onqqKigtLS0k2uL7UrrV87KhwO1+lxt2b9ZK+UaeIPxwnHknhddr6ZvoqzTviAH+esBcDhtDJwSA9GPdOXjEwncSNJZTBOyjTJyXDicTkozPNSmO/DqoieiIiIiIiIiOwiDbYh1bt3bwAmTpxY47X129bX1JXZs2cD0L59+zo97uaYpsmaygiJVAqAVAqSSROv08bTj33HjVd9jt9fvSZUm7aZvPHuSZx/cWcAQlEDfziOw2YlJ8OF12WnXYtMsjNc9XY+IiIiIiIiItI0NNiG1NFHH82ee+7J66+/zpw5c9LbA4EAQ4YMwW63b/AUvNLSUubPn09paWnNnW2HefPmUVlZWWP7tGnTGDVqFC6Xi9NPP32njlEbjESSP9YEKauKpGdIWSwQ8Rtccf6njH/h53TtcX9rzzv/OZUu+xeQSlXPoorEEvjcDrJ8TrJ9Ttq1zMLtVERPRERERERERHY9e30PYHPsdjvjxo2jf//+9OrVi/POO4+srCzeffddFi9ezNChQ+nYsWO6/umnn2bw4MEUFxczaNCgDfb118bVypUra2x77LHH0nG8CRMmMGLECI4++mjat2+Py+Xi559/ZuLEiVitVp5//nnatm27y857WwTCcVaWhzESSb746EOqyqqbcJWlazn32CGUhjsB4HBYufv+w7jg0s5YLBaMRIpAuHrGVLbPidNuo1mOh9xMl56iJyIiIiIiIiJ1psE2pAD69u3LtGnTKC4uZsKECcTjcbp06cKQIUO44IILtnk/L7/88ha3DRo0KN2Q6tu3L7/88gvfffcdkydPJhqN0qJFC8455xxuu+02DjvssJ0/sR2UMk3WVkSoCMaIGUkm/ftDxtx6xZ+vJxP4wv8kzMXktu7O6Gf7sf+BzTBNk0gsQSiawGGzkOl14nTYKCrw4XU16P8ERERERERERKQRspjm+sCX7Cq18XjmuJFkRWmIaLy6sRSNJxh0wQks+mlOjVpX1l68PG0q2dkuUqZJMGIQN5J4XHa8Ljs+j4OifB92W4NNbIqIiMhm1MbnChEREZH6pukxu4GqUIzV5RHiiSSBsEEqZZLhcfDHgvmbrLckVpKd7SKRTFXXmyaZXicuh438LDcF2W5F9ERERERERESk3qgh1YClUiarK8JUheLVM6MiCaxWCz63nefHzCEYb4aLZTXe165jp3S9zWYhZ916UYX5PjI8jno4ExERERERERGRP6kh1UBF40lKykLE4gmCEYOYkcTlsBH2G9x8xed8M3sVXvrRjFew8Gfq0mKxcPJVNxOMGLiddnxuOx6XnVYFPhx2PUVPREREREREROqfFhFqYEzTpCIQY+lqP+GoQWUwRjyRIsPj5Mdv13L639/nm9mrAIjZ9qfnGUOwO6pnPdkdDm5/8kUO6HUcGR4HGR4HuZlu2rbIVDNKRERERERERBoMzZBqQJLJFKvKwwQixrqn4hnYbVYyXTaef2oOzz81h/VL0Lcs9DHq6b50PbQFF05/hrJVK8nMLeCQvv3J9Dpx2G20zPOS7XPW70mJiIiIiIiIiGxEDakGIhJLrIvoJaufipdI4nbaCfvj3Hrl/5g9c2W69qi+rXl0dG9yc92YppluUlkskJ3hwu2w0aogA5dTs6JEREREREREpOFRQ6qemaZJeSBGaWWEeCJFIBzHBLK8Tr77ajV33TKJ0rURAGw2C7fcdQhXXHMAVquFVMqsrl/XkbJYINvnomWeF5tVT9ETERERERERkYZJDal6lEimWFkWIhgxiMSShGMGDpsVj8vOC8/8wDNjvk/PfmrewsvjT/fl0MNaAmAkkgTCBgDWdc0nm9VCUb4Xi0XNKBERERERERFpuNSQqiehqMHKsjBxI0kgEsdImHhcdsJ+g9uu+YKZ00rStUf2bsXw0b3Jy/dgmiaReJJwNIHDbiHT4+TMq2/AloyRm5ejZpSIiIiIiIiINHhqSNUx0zQprYpS5o8SN6rXiwLI8jmY8/Ua7rjpy3REz2q1cNPtB3P1DQdWR/RMk2C4en0pj8uO12XH53Fw54P3YbfpgYkiIiIiIiIisntQQ6oOGYkUf6wJEo4ahGMJIrEEDrsNn8vOuOd+5KlR35FKVWf0mjX38thTfTiseyFQHe8LhA1SpkmW14nTYSM/y01BtluzokRERERERERkt6KGVB36Y7UfpyeDQDhOImnidTuIBOJcd90XTJu8Il3X48giRozpQ0EzDwDReIJQJIHNZiHH58Rpt1GY7yPD46ivUxERERERERER2WFqSNWhcCxJOBlb9zQ8Jz98t4Y7bvySNavDQPVT8m647WCuvfFAbDYrpmkSjCaIxRO4nXZ8bjsel51WBT4cdls9n42IiIiIiIiIyI5RQ6oOBSNxcnO9eJ12xv/jJ5547FuSyeqIXkEzDyOf6EP3nkUAJJMp/BGDZNIkw+PA7bSTk+Giea4HqyJ6IiIiIiIiIrIbU0OqDrmcdhKRJDdc/yVTvlye3n54j0JGPtmHZs29AMTWLXZutUBOhhOH3UZhnpcsn7O+hi4iIiIiIiIiUmvUkKpDc+eUMnTgd6xaGQKqI3rX3dyV6285KB3RW7/YudNhS8+MalXgw+VQRE9EREREREREGgc1pOrQzVd/TirlAiAv382IJ/rQs1crAFIpk0A4jpFM4XM78LjsZHmdtMjzYrMqoiciIiIiIiIijYcaUnUolapeL+rQw1vy+FN9aN7CB4CRSBIIGwBk+1w4HVaa53jJyXBi0XpRIiIiIiIiItLIqCFVx6658UBuvO1g7PbqiF4kniQcTeCwW8j0OHE5bBQV+PC4dGlEREREREREpHFS16MOjXiqDyed3AWoni0VjBjEE0k8Ljtel50Mj4PCfB92m7WeRyoiIiIiIiIisuuoIVWHDj+iCIBEMkUgbJAyTbK8TpwOGwXZbvKz3IroiYiIiIiIiEijp4ZUHYvGE4QiCWw2Czk+J067jcJ8HxkeR30PTURERERERESkTqghVYdi8QTBiIHbacfntuNx2WlV4MNht9X30ERERERERERE6owaUnUoZUKGx4HbaSc3w0WzXA9WRfREREREREREpIlRQ6oOmKYJgN2MkYxHyPB58dgTBAOBeh6ZiIiI7G78fj/w5+cLERERkd2RGlJ1ILCu8XRMzwPqeSQiIiLSWAQCAbKzs+t7GCIiIiI7xGLq12u7XCqVoqSkhMzMzN3yKXp+v582bdqwbNkysrKy6ns4Ukt0XRsvXdvGSde18drea2uaJoFAgKKiIqxWax2MUERERKT2aYZUHbBarbRu3bq+h7HTsrKy9CWoEdJ1bbx0bRsnXdfGa3uurWZGiYiIyO5Ov1YTEREREREREZE6pYaUiIiIiIiIiIjUKTWkZKtcLhfFxcW4XK76HorUIl3XxkvXtnHSdW28dG1FRESkKdKi5iIiIiIiIiIiUqc0Q0pEREREREREROqUGlIiIiIiIiIiIlKn1JASEREREREREZE6pYZUE/Paa69xzTXXcOihh+JyubBYLLz00kvbvZ9UKsXTTz/NAQccgMfjoVmzZpx99tksXLiw9gct26Q2ru2kSZOwWCyb/Zk1a9auGbxs1ooVKxgzZgzHHXccbdu2xel00rJlS8444wxmz569XfvSfdtw1NZ11T3b8FRWVnLzzTfTo0cPWrZsicvlolWrVvTr14933nmH7Vm6U/esiIiINGb2+h6A1K0HHniApUuXUlBQQGFhIUuXLt2h/Vx77bW88MILdO7cmZtuuonVq1fz1ltvMXHiRGbMmEHnzp1reeSyNbV1bQF69+5Nnz59amxv3br1ToxQdsRTTz3F8OHD6dChA8ceeyzNmzdn4cKFvP/++7z//vu88cYbnH322du0L923DUdtXlfQPduQlJaW8uKLL9K9e3dOPfVU8vLyWLNmDR999BFnnnkmV111Ff/4xz+2aV+6Z0VERKRRM6VJ+e9//2suWbLENE3TfOSRR0zAHD9+/Hbt44svvjABs1evXmY0Gk1v//zzz02LxWIeddRRtTlk2Ua1cW2//PJLEzCLi4trf4CyQ9555x1zypQpNbZPmTLFdDgcZl5e3gb34ebovm1Yauu66p5teBKJhGkYRo3tfr/f7Ny5swmYP//881b3o3tWREREGjtF9pqYY445hnbt2u3UPl544QUAhg4disvlSm8/+uij6d+/P1OmTOHXX3/dqWPI9quNaysNz+mnn06vXr1qbO/Vqxd9+/alvLycn376aav70X3bsNTWdZWGx2azYbfXnICemZlJ//79Afjtt9+2uh/dsyIiItLYqSEl223SpEn4fD569uxZ47X1H7YnT55c18OSWrRw4UKefPJJHn30Ud544w1KS0vre0iyCQ6HA2CTX343pvt297E913U93bMNXzQa5YsvvsBisWxT1E73rIiIiDR2WkNKtksoFGLlypXst99+2Gy2Gq/vvffeAFpwdTf3+uuv8/rrr6f/7PF4GDx4MHfddVc9jkr+6o8//uDzzz+nZcuW7L///lus1X27+9ie6/pXumcbnsrKSsaMGUMqlWLNmjV8/PHHLFu2jOLi4vQ9tzm6Z0VERKQp0Awp2S5VVVUAZGdnb/L1rKysDepk99KsWTNGjhzJL7/8QigUYsWKFbz22mvk5eVx9913M3bs2PoeogCGYXDRRRcRi8UYMWLEJr+w/pXu293D9l5X0D3bkFVWVjJ48GCGDBnC2LFjWbVqFSNHjqS4uHir79U9KyIiIk2BZkiJSFqXLl3o0qVL+s9er5cLLriAAw88kEMOOYTi4mKuuuoqrFb1sutLKpXi8ssvZ8qUKVx11VVcdNFF9T0kqQU7el11zzZc7du3xzRNkskky5Yt48033+T+++9nxowZTJgwYbsimSIiIiKNkT6hynZZ/9vazf1W1u/3b1AnjcN+++3H4YcfzurVq7dpMV7ZNUzT5KqrruK1117jwgsv5Pnnn9+m9+m+bdh29Lpuie7ZhsNms9G+fXvuvfdehg4dynvvvZdesHxzdM+KiIhIU6CGlGwXn89HYWEhixcvJplM1nh9/XoWW1sfQ3Y/BQUFAITD4XoeSdOUSqW44oorePHFFznvvPN46aWXtnnWi+7bhmtnruvW6J5teI477jigesHyLdE9KyIiIk2BGlKy3Xr37k0oFGL69Ok1Xvvss8/SNdJ4JBIJvvvuOywWC23btq3v4TQ5qVSKK6+8kvHjx3POOefw6quvbtP6Qn+l+7bhqY3rujm6ZxumkpISYNueoKh7VkRERBo7NaRks0pLS5k/f36Nx4dfffXVADzwwAPE4/H09v/973989tlnHHXUUXTs2LFOxyrbZ3PXdubMmZimucG2RCLBXXfdxdKlS+nfvz95eXl1OdQmb/0MmvHjx3PWWWfx2muvbbFpoft291Bb11X3bMMzZ86cTUbtysvLGTBgAAB/+9vf0tt1z4qIiEhTZTE3/iQrjdq4ceOYNm0aAD/99BPfffcdPXv2ZK+99gLg1FNP5dRTTwVg0KBBDB48mOLiYgYNGrTBfq666irGjRtH586dOeGEE1i9ejVvvfUWbrebGTNm0Llz57o8LaF2rm379u2xWCwcccQRtGrVisrKSqZMmcKCBQto27YtU6ZMoV27dnV9ak3a+muVkZHBLbfcssmZFaeeeioHHXTQBvW6bxu22rquumcbnltvvZVx48bRt29f2rVrh8/nY+nSpfznP/8hGAxyxhlnMGHChHQ0U/esiIiINFV6xEsTM23aNF5++eUNtk2fPj0dCWjfvn26abElY8eO5YADDmDs2LE8+eSTZGRkcNJJJzFs2DD9xrae1Ma1ve666/j000+ZNGkSpaWl2O129tprL+6//37uuOMOcnNzd9XwZTOWLFkCQDAYZNiwYZusad++fbpxsSW6bxuO2rquumcbnjPPPJOqqipmzZrFlClTCIfD5OXlceSRR3LxxRdz7rnnYrFYtmlfumdFRESkMdMMKRERERERERERqVNaQ0pEREREREREROqUGlIiIiIiIiIiIlKn1JASEREREREREZE6pYaUiIiIiIiIiIjUKTWkRERERERERESkTqkhJSIiIiIiIiIidUoNKRERERERERERqVNqSImIiIiIiIiISJ1SQ0pEREREREREROqUGlIiIiIiIiIiIlKn1JASEWkAHn74YSwWS/rHarXSokUL+vXrxyeffFLfwxMREREREalV9voegIiIwIwZM/B6vdx2220AJJNJFi9ezHvvvcfUqVP59ttvOeCAA+p5lCIiIiIiIrVDDSkRkXpmmiYzZ87k4IMPZujQoRu8Nnz4cO69916mTp2qhpSIiIiIiDQaiuyJiNSz+fPnU15ezmGHHVbjNa/XC0CzZs3qelgiIiIiIiK7jBpSIiL1bPr06QB069Ztg+2pVIp3332XrKwsjj/++PoYmoiIiIiIyC6hhpSISD2bMWMGQHqGVGlpKdOmTeO0005j6tSpjB8/nqysrPocooiIiIiISK2ymKZp1vcgRESask6dOvHrr79u8rXXX3+d8847r45HJCIiIiIismupISUiUo9KS0tp1qwZnTt35thjj8U0TYLBIIsWLWL69Ok4HA6mTp3KIYccUt9DFRERERERqTV6yp6ISD1aH9e78sorue222zZ4bcKECZxzzjmMHTuWf/zjH/UxPBERERERkV1Ca0iJiNSj9Qua9+rVq8Zrffv2BSASidTpmERERERERHY1NaREROrRjBkzyMzMpGvXrjVemzJlClDz6XsiIiIiIiK7O60hJSJST+LxONnZ2fTu3ZtPP/10g9dmzJjBGWecgd1uZ968eWRmZtbTKEVERERERGqf1pASEakn3333HdFolKqqKh544AEAysrKmDt3LlOnTqV169Z88sknakaJiIiIiEijo4aUiEg9Wb9+1KxZs5g1axYAbrebPffck/vvv5877riD3Nzc+hyiiIiIiIjILqHInoiIiIiIiIiI1Cktai4iIiIiIiIiInVKDSkREREREREREalTakiJiIiIiIiIiEidUkNKRERERERERETqlBpSIiIiIiIiIiJSp9SQEhERERERERGROqWGlIiIiIiIiIiI1Ck1pEREREREREREpE6pISUiIiIiIiIiInVKDSkREREREREREalTakiJiIiIiIiIiEidUkNKRERERERERETqlBpSIiIiIiIiIiJSp/4fB06KE2YwZL4AAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1200x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "d=ufloat(0.12,0.0004)\n",
+    "G=1 # in cm\n",
+    "nullpunkt=ufloat(0.5,0.0005)\n",
+    "g=np.array([ufloat(x,0.0005) for x in [0.28,0.3,0.32,0.34,0.36]])-nullpunkt\n",
+    "b=np.array([ufloat(x,0.003) for x in [0.645, 0.666,0.698,0.75,0.864]])-nullpunkt\n",
+    "B=np.array([ufloat(x,0.001) for x in [0.9,1.1,1.4,1.9,2.95]]) # in cm\n",
+    "Beta = B / G\n",
+    "\n",
+    "# Extract nominal values and uncertainties\n",
+    "g_nominal = np.array([val.nominal_value for val in g])\n",
+    "g_stddev = np.array([val.std_dev for val in g])\n",
+    "b_nominal = np.array([val.nominal_value for val in b])\n",
+    "b_stddev = np.array([val.std_dev for val in b])\n",
+    "Beta_nominal = np.array([val.nominal_value for val in Beta])\n",
+    "Beta_stddev = np.array([val.std_dev for val in Beta])\n",
+    "\n",
+    "# Fill XYContainer\n",
+    "xy_data = XYContainer(x_data=Beta_nominal, y_data=g_nominal)\n",
+    "xy_data.add_error(axis=\"x\", err_val=0.002)\n",
+    "xy_data.add_error(axis=\"y\", err_val=0.001)\n",
+    "xy_data.label = \"Data\"\n",
+    "\n",
+    "# Define model function\n",
+    "def Abbe(x, hx=1, f=1):\n",
+    "    return f*(1+1/x)+hx\n",
+    "\n",
+    "# Declare and perform the fit\n",
+    "fit = Fit(xy_data, model_function=Abbe)\n",
+    "results = fit.do_fit()\n",
+    "\n",
+    "# Plot the result\n",
+    "plot = Plot(fit_objects=fit)\n",
+    "plot.customize(\"model_line\", \"label\", [(0, r\"Abbe Modelfunktion\")])\n",
+    "plot.customize(\"model_line\", \"color\", [(0, \"darkblue\")])\n",
+    "plot.customize(\"model_line\", \"linestyle\", [(0, \"solid\")])\n",
+    "plot.customize(\"model_error_band\", \"label\", [(0, r\"$\\pm1\\sigma$\")])\n",
+    "plot.customize(\"model_error_band\", \"color\", [(0, \"lightsteelblue\")])\n",
+    "plot.x_label = r\"$B$\"\n",
+    "plot.y_label = r\"$g\\,(\\mathrm{m})$\"\n",
+    "plot.plot()\n",
+    "\n",
+    "# Show plot in notebook\n",
+    "plot.show()\n",
+    "\n",
+    "# Fill XYContainer\n",
+    "xy_data = XYContainer(x_data=Beta_nominal, y_data=b_nominal)\n",
+    "xy_data.add_error(axis=\"x\", err_val=0.002)\n",
+    "xy_data.add_error(axis=\"y\", err_val=0.005)\n",
+    "xy_data.label = \"Data\"\n",
+    "\n",
+    "# Define model function\n",
+    "def Abbe(x, hx=1, f=1):\n",
+    "    return f*(1+x)+hx\n",
+    "\n",
+    "# Declare and perform the fit\n",
+    "fit = Fit(xy_data, model_function=Abbe)\n",
+    "results = fit.do_fit()\n",
+    "\n",
+    "# Plot the result\n",
+    "plot = Plot(fit_objects=fit)\n",
+    "plot.customize(\"model_line\", \"label\", [(0, r\"Abbe Modelfunktion\")])\n",
+    "plot.customize(\"model_line\", \"color\", [(0, \"darkblue\")])\n",
+    "plot.customize(\"model_line\", \"linestyle\", [(0, \"solid\")])\n",
+    "plot.customize(\"model_error_band\", \"label\", [(0, r\"$\\pm1\\sigma$\")])\n",
+    "plot.customize(\"model_error_band\", \"color\", [(0, \"lightsteelblue\")])\n",
+    "plot.x_label = r\"$B$\"\n",
+    "plot.y_label = r\"$b\\,(\\mathrm{m})$\"\n",
+    "plot.plot()\n",
+    "\n",
+    "# Show plot in notebook\n",
+    "plot.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "27c57c3b-c9c4-483d-a61b-0b1a3e86498e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "10.53+/-0.18\n"
+     ]
+    }
+   ],
+   "source": [
+    "f1=ufloat(10.68,0.31)\n",
+    "f2=ufloat(10.38,0.17)\n",
+    "f=(f1+f2)/2\n",
+    "\n",
+    "print(f)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "d463e114-79e8-4854-88f0-05ec8ebbf73f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "d=ufloat(0.10,0.0004)\n",
+    "G=0.01 # in cm\n",
+    "nullpunkt=ufloat(0.5,0.0005)\n",
+    "g=np.array([ufloat(x,0.001) for x in [0.3,0.32,0.34,0.36, 0.37]])-nullpunkt\n",
+    "b=np.array([ufloat(x,0.005) for x in [0.65,0.675, 0.712,0.79,0.86]])-nullpunkt\n",
+    "B=np.array([ufloat(x,0.002) for x in [0.0105,0.012,0.016,0.0235,0.0315]]) # in cm\n",
+    "Beta = B / G\n",
+    "\n",
+    "# Extract nominal values and uncertainties\n",
+    "g_nominal = np.array([val.nominal_value for val in g])\n",
+    "g_stddev = np.array([val.std_dev for val in g])\n",
+    "b_nominal = np.array([val.nominal_value for val in b])\n",
+    "b_stddev = np.array([val.std_dev for val in b])\n",
+    "Beta_nominal = np.array([val.nominal_value for val in Beta])\n",
+    "Beta_stddev = np.array([val.std_dev for val in Beta])\n",
+    "\n",
+    "# Fill XYContainer\n",
+    "xy_data = XYContainer(x_data=Beta_nominal, y_data=g_nominal)\n",
+    "xy_data.add_error(axis=\"x\", err_val=0.002)\n",
+    "xy_data.add_error(axis=\"y\", err_val=0.001)\n",
+    "xy_data.label = \"Data\"\n",
+    "\n",
+    "# Define model function\n",
+    "def Abbe(x, hx=1, f=1):\n",
+    "    return f*(1+1/x)+hx\n",
+    "\n",
+    "# Declare and perform the fit\n",
+    "fit = Fit(xy_data, model_function=Abbe)\n",
+    "results = fit.do_fit()\n",
+    "\n",
+    "# Plot the result\n",
+    "plot = Plot(fit_objects=fit)\n",
+    "plot.customize(\"model_line\", \"label\", [(0, r\"Abbe Modelfunktion\")])\n",
+    "plot.customize(\"model_line\", \"color\", [(0, \"darkblue\")])\n",
+    "plot.customize(\"model_line\", \"linestyle\", [(0, \"solid\")])\n",
+    "plot.customize(\"model_error_band\", \"label\", [(0, r\"$\\pm1\\sigma$\")])\n",
+    "plot.customize(\"model_error_band\", \"color\", [(0, \"lightsteelblue\")])\n",
+    "plot.x_label = r\"$B$\"\n",
+    "plot.y_label = r\"$g\\,(\\mathrm{m})$\"\n",
+    "plot.plot()\n",
+    "\n",
+    "# Show plot in notebook\n",
+    "plot.show()\n",
+    "\n",
+    "# Fill XYContainer\n",
+    "xy_data = XYContainer(x_data=Beta_nominal, y_data=b_nominal)\n",
+    "xy_data.add_error(axis=\"x\", err_val=0.002)\n",
+    "xy_data.add_error(axis=\"y\", err_val=0.005)\n",
+    "xy_data.label = \"Data\"\n",
+    "\n",
+    "# Define model function\n",
+    "def Abbe(x, hx=1, f=1):\n",
+    "    return f*(1+x)+hx\n",
+    "\n",
+    "# Declare and perform the fit\n",
+    "fit = Fit(xy_data, model_function=Abbe)\n",
+    "results = fit.do_fit()\n",
+    "\n",
+    "# Plot the result\n",
+    "plot = Plot(fit_objects=fit)\n",
+    "plot.customize(\"model_line\", \"label\", [(0, r\"Abbe Modelfunktion\")])\n",
+    "plot.customize(\"model_line\", \"color\", [(0, \"darkblue\")])\n",
+    "plot.customize(\"model_line\", \"linestyle\", [(0, \"solid\")])\n",
+    "plot.customize(\"model_error_band\", \"label\", [(0, r\"$\\pm1\\sigma$\")])\n",
+    "plot.customize(\"model_error_band\", \"color\", [(0, \"lightsteelblue\")])\n",
+    "plot.x_label = r\"$B$\"\n",
+    "plot.y_label = r\"$b\\,(\\mathrm{m})$\"\n",
+    "plot.plot()\n",
+    "\n",
+    "# Show plot in notebook\n",
+    "plot.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "fc2e91c4-4c64-457f-9746-a1d972acffff",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "10.28+/-0.17\n"
+     ]
+    }
+   ],
+   "source": [
+    "f1=ufloat(9.88,0.29)\n",
+    "f2=ufloat(10.67,0.19)\n",
+    "f=(f1+f2)/2\n",
+    "\n",
+    "print(f)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "id": "e5f46111-79b7-4c2c-ae82-5d5a625ea581",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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/PPedJSIiIiogDKSIiIjooZRiMuFmTMx9u57b5UTCrRs5Pj4A/w1td9uBpLg86VaBGDR6NFJMJuiK2FRDIiIiyjsMpIiIiOihpDMYULJMmTw/b0JsrHe63p1kcjkCi4X6dzIB3L5tg8OROk1PKpUgpJgKAQESuN0eIO5WXnT5vhs8enRBd4GIiIgKGIua3wcsak5ERPTw+O3HHzGke3fc+YolkUgwaflXaNy2g8/n8XgExry9G1t/vgIACCmmwrc/Po/yj6S+S0TfiEebRo/z/YKIiIiKJBY1JyIiIsojQgjUbN4W7y9dC6kstcaTTC73O4wCgPkzD3vDKLVahqWr23rDKCIiIqKijoEUERERUR65nWyH0exAzeZtYQhJnZ4XWCzU7zDqyy/OYPWKMwCAgAAJFn7WCjVqheV5f4mIiIgKCgMpIiIiojyQbHEgNskKi80Fu9ONgByspgcA23+9gtkfHvL+PHnm02j5TPk86iURERFR4cBAioiIiCiXrHYXridYYHe6YbE7oVHKgBwEUseO3MS7I/cgrfzUkLdro+dLVfO2s0RERESFAAMpIiIiolxwujyIiTfD4XQj2eKEUi6FWun/QsaXLt7GW4N2wGF3AwC6vlgZw0fXzevuEhERERUKDKSIiIiIcsjtEYiOS4Hd6UayxQG5VAKdWg6JxL/hUTeup+D1V3+D0egAADRpXgZTZzX1+zxERERERQUDKSIiIqIcEELgRoIZVocLJrMDEokEeo3C7xDp9m0bXnvlN9y8YQYAVKsRio8/bw25nK9pRERE9ODimw4RERFRDsQmWZFscSDZ4oBHCOg1cgTcUcm82+CheHnkWHQbPDTLc1gsTgwZsB2Rl5MAAOUrGLBsTVtodYr87j4VsJYtW2YIL8PDwyGRSDBlypSC6VQByux5FBVTpkyBRCJBeHh4js8RFRUFiUSC/v37Z9h36NAhtG7dGsWKFYNEIkHLli1zfB1/rFmzBhKJBGvWrClU5yKiBwcDKSIiIiI/JSbbcDvZDrPNBacrNYySSdO/VnV77S30HTUO3V57K9NzOJ0ejH5rN06diAMAhIapseqr9igWqs73/lP2Tp48iTfffBNPPvkkDAYDFAoFSpUqhbZt22LRokVISEgo6C5mqiiHOv5IC+4kEgkaNWqUZbstW7Z427Vv3/4+9jDvGI1GPP/88zh+/Dj69OmDyZMnZxpaFbTsAjUioqz4X3GTiIiI6CGWbHEg9rYVFrsLNocLOrUcCpnUr3MIIfDBuP3Ys+saAECnl2P52nYoW16fH10mH3k8HowdOxYLFiyATCZD8+bN0bZtW2g0GsTGxuLAgQMYNWoUPvjgA/z9998IDQ0t6C4/1GQyGQ4dOoRz587hySefzLD/iy++gEwmg8vlKoDe5Y0jR44gLi4Os2bNwrhx4wq6OznWtWtXNGrUCKVKlSrorhBRIcJAioiIiMhHVrsL1xMssDvdsNicUCtlUCn8f51aOOcoNm+8BABQKKX4bEUbPFGtWF53l/z0/vvvY8GCBahfvz7Wr1+PSpUqZWhz5MgRjB07FjabrQB6SHdq164dtm7dii+++ALz589Pty82Nha//vorOnTogC1bthRQD3Pv+vXrAICSJUsWcE9yJzAwEIGBgQXdDSIqZDhlj4iIiMgHTpcHMfFmOJxuJFucUMql0Cj9D6PWrDyDlZ+fBgBIJMC8j1uiYWOOGiholy5dwrx581C8eHFs3bo10zAKABo0aIBdu3alG+mRXe2nvJjKdOnSJQwYMAAVK1aESqVCaGgo6tati3feecfbRiKRYM+ePd7/nfZJu+6d/fjrr7/QrVs3hIaGQiKRICoqCgDw448/4qWXXsJjjz0GjUaDwMBANGvWDD/88EO29/X333+jR48eCA4OhlarxbPPPotTp05lei/79+9HixYtoNVqUaxYMfTq1QvXrl3L0XMpW7Ysnn32WXz11VcZRkF9+eWXcDqdGDBgQJbHJyQkYNSoUahYsSKUSiWKFy+OXr164dy5c5m2v3btGl566SWEhIRAp9OhRYsW2Lt3b7Z93Lt3L55//nmEhoZCqVSicuXKmDhxIiwWyz3vTyKRoF+/fgCAAQMGeH+nabWqsqsnVaFCBVSoUCHdtv79+3t/30uWLMETTzwBlUqFRx55BFOnToXH47lnn4DU5/DEE09Ao9Hgl19+wZo1a1CxYkUAwNq1a9P9+Uvra3Y1pA4cOICOHTsiJCQEKpUKVatWxZQpUzJ9Rmn3HBcXh4EDB6J48eJQq9Vo1KhRrmp4EVHB4AgpIiIiontwezyIjkuB3emCyeKAXCqBTi33u17Pzz9expxph7w/fzD9abR9rkIe95ZyYs2aNXC73XjjjTfuORVPIpFAKvVvmmZOXb9+HQ0bNoTZbEbHjh3Rq1cvpKSk4NKlS/jkk0+wYMECAMDkyZOxZs0aXL16FZMnT/YeX7t27XTnu3z5Mho1aoRq1aqhX79+SExMhEKRWkR//PjxUCgUaNq0KUqVKoW4uDhs2bIFPXr0wOLFizF8+PAM/YuKisJTTz2FJ598EgMHDkRkZCR++ukntGrVCufPn0eJEiW8bX///Xc899xzCAgIQK9evVC6dGn8/vvvaNKkCYKDg3P0fAYOHIjevXvjf//7H7p06eLdvnr1atSpUyfD/adJSEhAo0aNcPnyZbRs2RK9e/dGVFQUNm7ciP/973/YsWMHGjdu7G1/48YNNG7cGDExMWjXrh3q1q2L8+fPo02bNmjVqlWm11i6dCmGDh2K4OBgPP/88wgLC8ORI0cwY8YM7N69G7t37/Y++8xMnjwZJ0+exE8//YQuXbp47+XuoMlf7777LsLDw9GpUye0bdsWmzdvxpQpU+BwODBjxoxsjz137hzatWsHs9mMHTt2oEmTJjh58iRGjBiBjz/+GLVq1cILL7zgbX+vvv7www/o3bs3FAoFevXqheLFi2Pnzp2YOnUqtm/fjt27d0OpVKY7JikpCU2aNIHBYMDLL7+M2NhYfPfdd2jXrh2OHTuG6tWr5/TRENH9JijfGY1GAUAYjcaC7goRERH5yePxiKu3TOLslQRx4MwNceDMDXH2SoI4fzXRr8+KL08LmWy+AOYJYJ4YNmqn3+e487Pj4EW+X+ShVq1aCQBi165dfh+7e/duAUBMnjw5w74rV64IAKJfv37ptrdo0ULc/Sqe2XkWL14sAIiPP/44w7nj4uLuec67+wFATJo0KdM2kZGRGbYlJyeLGjVqiMDAQGE2mzM93+zZs9MdM3HiRAFAzJo1y7vN7XaLRx99VEgkErFv3z7vdo/HI/r06eM9ly/SntMbb7whbDabCAkJEZ07d/buP3DggAAgPvnkE28/27Vrl+4cAwcOFADE+PHj023ftm2bACAqV64s3G63d3u/fv0EADF9+vR07ZctW+bt++7du73bz549K2QymahTp45ISEhId8ysWbMEADF//nzvtqz+nKxevVoAEKtXr87wHACIFi1aZPqMHnnkEfHII4+k25Z2DxUrVhTXr1/3bo+LixNBQUFCr9cLu92e5bUPHDggQkJCROnSpcWff/6Z7txZ9T+7+zCZTCIoKEgolUpx6tQp7/Y7/0xMmzYtwz0DEEOHDk33+1m5cqX3zwQRFR2cskdERESUBSEEbiZaYLY6YbI44BECBo0cAQH+jYw6fTIOI978HS6XAAD06lsVQ0fUyY8uUw7dvHkTAFC6dOkM+3bt2oUpU6ak++zfv/++9k+tzrj6Yk6KqpcsWRITJ07MdN+jjz6aYZtOp0P//v1hNBpx5MiRDPsrVqyId999N922QYMGAUC69vv378fff/+NTp06oWnTpt7tEokEM2fOzPGIM6VSiT59+uDXX3/FrVu3AKQWM0/bnhmHw4Fvv/0WxYoVy/As2rVrh3bt2uHSpUs4cOCAt/13332H4sWLp5smCQCDBw/G448/nuEay5Ytg8vlwuLFixESEpJu39ixYxEWFoZvv/02R/ecW5MmTUo35TQ0NBRdunRBcnIyLly4kOkxv/76K5599lmEhobiwIEDeTIKafPmzUhKSsLAgQNRs2ZN73aJRILZs2dDJpNlOsVPq9Vizpw5CAj475+y/fr1g0wmy/TPKBEVXpyyR0RERJSFBJMNSSl2pFidcLsFDFoFpFL/vs+7EpmENwdsh8WSWuOmTfsKmPRhY7+n+xWk+vW/ws2b5oLuRrZKltTi6NFXcny8ECLLfbt27cowlUmlUqULVvJLp06dMG7cOLz11lvYsWMH2rdvj6ZNm2YagviiVq1aWU4Ti42NxezZs7F161ZcvXoVVqs13f60Att3n+/OYABIre0EpE6tSpNWU6pZs2YZzvHII4+gXLly3lpW/ho4cCA+/fRTfPnll3jrrbewYcMGvPDCCwgJCYHJZMrQ/q+//oLVakXLli2h0Wgy7G/ZsiV+++03nDx5Ek2bNsWFCxdgs9nQunVrqFSqdG0DAgLw9NNP4+LFi+m2Hzx4EACwbds27Ny5M8M15HI5/vrrrxzdb27VrVs3w7bMfmdpvv/+e2zfvh116tTBr7/+mmerS544cQIAMq2DVa5cOVSqVAkXLlxAcnIy9Pr/ViCtXLkydDpduvYymQwlSpTItP9EVHgxkCIiIiLKhDHFjnijDRa7C3anB3qNHHKZf2HUzRtmDHplG24npq7I1qBRScz7uIXfodbdhBAQyDpAyWs3b5oRE5Ny365XEEqUKIG//voLMTExqFKlSrp906dPx/Tp0wGk1prKrlB2XqtYsSIiIiIwdepUbN26Fd9//z0AoEqVKpg2bRpefPFFv853Z02nOyUmJqJBgwb4559/0KRJEzz77LMICgqCVCr11jGy2+0Zjsts5TSZLPWfGG6327vNaDQCAIoXL55lv3IaSKXVilq9ejWKFy8Ok8mU7e8oLaTK6lmkrWiX1mdf+n63xMREALhnTaaC4OvvLE1ERARcLheaNWuWZ2EU4Nvv4cKFCzCZTOkCqaxW65PJZJn2n4gKLwZSRERERHcx25y4mWiBzeGC1e6CViWHUu7flKLbiTYMenkrbsSkjiyq8kQIPlvRBkpV7l6/hBBIsTrh8dy/QKpkSe19u1ZO5baPTz/9NPbs2YPdu3ejdevWfh2bNkLo7pXegP/CjNyoWbMmfvjhBzidThw7dgxbt27F4sWLvYXBmzRp4vO5shqZt2rVKvzzzz+YPn063n///XT7Zs+ejZ9++ilX95AWIsTGxma6P226XU4NGDAAI0aMwPvvv49y5cqhTZs2WbY1GAzZXjNte1q7nPQ97di7w5S8JJFIMv0zB6T+ucsquPHXzJkz8dNPP2HhwoWQyWSYM2dOnpzX398DET14GEgRERER3cHmcCMm3gy7040UqxMqhQwqhX9hlDnFgdf7/Ya/I1PDiPKP6LHiy3bQG7JeUcsXQgiYbS7YnW7oVLk7lz9yMxWuqOjXrx/mzJmD5cuXY8SIEX6NBElbIS4mJibDvrRpSXlBLpejUaNGaNSoER577DG8+uqr+OWXX7yBVFodJrfb7XdNpsjISABA586dM+zbt29fLnueOrUv7Vx315y6evUqrl27lqvz9+3bF2PHjkVMTAwmTpyYYRrhnapWrQqVSoUjR47AYrFkmLa3Z88eAP+tUFilShWoVCocPXoUNpst3bQ9j8fjrTV1p6eeegrHjx/HwYMHsw3HciM4ODjTP3NRUVFISkrKs0BKpVJh8+bN6Nq1K+bOnQshBObOnZuuzZ1/9nxVp05qHb3w8HD07Nkz3b6YmBhERkbi0UcfzbdAj4gKHouaExEREf3L6fIgOi4FDqcbyRYnFDIptCqZX/We7DYX3hq8E2dOxwMAwoprsOrr5xBWPGOtGn+khVE2hws6tRwqBV/j8lKVKlUwevRoxMbG4rnnnvMGNHfLrEZNlSpVoNPpsGXLFu9ULSB1hEfaVL+cOnLkSKYjc9JGj9xZ7DyteHZ0dLTf13nkkUcAIEOx9nXr1uHXX3/1+3x3a9q0KSpWrIhffvkl3TWEEJgwYUKup1qFhITgt99+w48//ogRI0Zk21ahUOCll15CfHw8Zs2alW7fzp07sXXrVjz22GPeoE+hUKBnz56IjY3FggUL0rVfuXJlhvpRADB06FDIZDIMHz4807AtKSkp12Fl/fr1ERUVhfDwcO82h8OB0aNH5+q8mVEqlfjxxx/RsWNHzJs3L0OoGBwcDIlE4tefvS5duiAwMBCrV6/G2bNnvduFEBg/fjycTif69++fV7dARIUQR0gRERERAXB7UsMou9MFk9kBqVQCvUbuVxjlcnnwzvDdOBRxAwAQGKTEqm/ao2z53H3DnzGMkkGnK/zT6Iqa2bNnw+l04uOPP0aVKlXQokUL1KxZExqNBrGxsTh58iSOHj0Kg8GQblUwhUKBYcOGYfbs2ahbt653xbKff/4ZLVq0yDLc8sU333yDJUuWoGXLlnjsscdgMBhw7tw5b3HpgQMHetu2bt0aGzduxIsvvogOHTpApVKhRo0a6Nix4z2v88orr2DOnDkYPnw4du/ejUceeQSnT5/Gzp070a1bN2zatCnH9wCkTmtcvnw5OnTogGeffdY73XDXrl24ceMGatasidOnT+fqGi1atPC57Zw5c7Bnzx5Mnz4dBw4cwFNPPYWoqChs3LgRGo0Gq1evTjfKavbs2fj9998xceJE7N+/H3Xq1MH58+fx66+/om3btti+fXu681evXh1LlizBkCFDUKVKFXTo0AGVKlWCyWTC33//jT179qB///5YunRpju931KhR2L59Ozp27IiXXnoJGo0GO3bsQFBQULpV9PKKUqnEpk2b0L17d8yfPx8ej8cb0Ol0OjRo0AB79+7FgAEDULlyZQQEBKBPnz4oX758puczGAxYsWIFXnrpJTz11FPo1asXwsLC8Pvvv+Po0aNo2LBhhuCLiB4sDKSIiIjooSeEQEy8GVa7CyazExKJBAaNwq8wyuMRmPTefvy+/R8AgEYjw7I1bVH58eBc981yVxhVupgWcNtydV7KSCqVYtGiRXjllVewdOlS7N27F4cOHYLD4UBISAhq1KiBhQsX4pVXXskwpW/69OlQKBRYvXo1li5digoVKmDSpEl4/vnn8cMPP+S4Ty+99BJsNhv++OMPHDlyBHa7HWXLlsVbb72FMWPGeFdHA4DXXnsNUVFRWL9+PWbMmAGXy4V+/fr5FEiVLVsWe/bswdixY7Fz5064XC7UrVsX27dvx7Vr13IdSAHAs88+6w11vv/+e6jVajzzzDP4/vvv8eqrr+b6/P4ICwvDoUOHMG3aNPz000/Yt28fAgMD0aVLF0yePBnVq1dP175UqVI4cOAAxo4di99++w179+5FvXr1sGPHDuzatStDIAWk/j5q166NhQsXYu/evdiyZQsCAwNRvnx5jBo1Cv369cvVPbRv3x7fffcdpk+fjq+++gohISF48cUXMXPmzAz9zysKhQI//PADevTogYULF0IIgYULFwIAvvrqK4waNQqbN2+G0WiEEAKNGjXKMpACgBdffBElS5bErFmzsGnTJlgsFu//d957770MqxoS0YNFIrJb45byhMlkQmBgIIxGI4vyERERFTJCCNxIsMBotsNodsDtEQjSKvxaCU8IgdnTDuHLVanTTuSKACxd3RZPNy2T675Z7P8VVlcrZShVTINArZLvF0RERFSksfgAERERPdTijDYYzXYkW51wewQMGv/CKABY+slJbxgVECDB/MWt8iWMKhmSGkYRERERFXUMpIiIiOihlZhsQ6LJBrPNBYfTA71aDrnMv9ejb9aew+IFx70/fzi7Kdo+VyFX/coqjArSMYwiIiKiBwMDKSIiInoomSwOxN62wmpPrc+kVcmgkEv9OsfPP17G9A8ivD+Pfb8huvd6PFf9yiyMKhHMMIqIiIgeLAykiIiI6KFjsTlxI8EMu8MNs80JtVIGtdK/tV52//4Pxr+z1/vz62/VwoDXa+S6b9ZMwqhgPcMoIiIierAwkCIiIqKHit3hRnS8GXanG8lWB5RyKTR+hlFHDt3AqCG74Hanrg3T6+WqGPluvVz3zWJzwmJ3QcMwioiIiB5wDKSIiIjooeF0eXAtLgUOpxvJFifkMil0ajkkEonP5/jzVByGDNwBu90NAHju+YqYNK2xX+fIzJ1hlEYpQ/FgNcMoIiIiemAxkCIiIqKHgtudGkbZnS6YzA5IAyQwaPwLoy6cT8Rrr2yDOcUJAGjWoixmL2zh96p8d8ssjArRq3J1TiIiIqLCjIEUERERPfA8HoHoeDNsdhdMZickEgkMGoVfYdSVv40Y1HcrjEYHAKBBo5L4eNkzUCj8K4R+N4ZRRERE9DBiIEVEREQPNCEErieYYbE5YbI4IISAQSNHQIDvYVRMdDIGvbwVCfE2AEDNOmH4fFUbqNX+1Z66u18ZwqgghlFERET0cGAgRURERA8sIQRuJlqQbHHAZHHC7REwaBV+TbGLvWXBwD5bceO6GQBQ5YkQLF/bDlqdIlf9stpdGUdGGRhGERER0cOBgRQRERE9sOKNNiSl2JFidcLp8kCvkUPmRxh1O9GGgS9vxT9XkwEAFSsFYuVX7REYmPNi40IIWDILozgyioiIiB4iOR9nTkRERFSIJSbbkGCywWJzwe70QK+WQyHzvd5TssmBwa9sQ+SlJABAmbI6fPHNcwgNU+e4T2lhlNXuglYlh5phFBERET2kGEgRERHRA8dkdiD2thVWuwtWR2r4o/Sj+LjF4sSbA7bj3JkEAEDxEhp8se45lCylzXGfMgujSgRrEKzP+WgrIiIioqKKU/aIiIjogWK2OnEj0QybwwWzzQm1Uga10vfv4Ow2F4a9thPHj94CAASHqPDFN8+h/COGHPeJYRQRERFRehwhRURERA8Mq92FmHgz7A43UqxOqBQyaPwIo5xOD0a9tRsR+68DAPQGBVZ+1Q6VKgfluE+pq+n9N1KrKIZRUTdNcLlFQXcjWzKpBBVK5jw0zCvXrl1DuXLlCrobREREhV6hD6SOHDmCyZMnIyIiAg6HA9WqVcPIkSPRp08fn46PjY3FqlWrcOzYMRw7dgxRUVEAUl8Os1KhQgVcvXo1031vvPEGli5d6vd9EBERUf6yO92IjkuB3emGyeKEQi6FViWDRCLx6Xi324Nxo/dg985/AAAajQzL1rTFk9VDc9wnIQTMNhdsd4RRJUM0CNIVnTAKAFxuAas9tTB8YSSXBUCtlBdoH86ePYsPPvgAJ06cwN9//12gfSEiIioKCnUgFR4ejnbt2kGhUKB3794IDAzEpk2b8PLLLyMqKgoTJky45znOnTuHCRMmQCKRoHLlytBoNLBYLPc8LjAwECNHjsywvX79+jm5FSIiIspHTpcH12LTwigH5DIJ9Gq5z2GUxyMw6b39+HVLapCgUErx2co2qFOvRI77dGcYpVPLoVLIUCpEg8AiFkalcbo8sNjdCChkBR88HkADQF2Aj3XIkCFYvnw5ZDIZSpUqVXAdISIiKkIkIruhQgXI5XKhatWqiI6ORkREBOrUqQMASE5ORuPGjXHhwgWcO3cOlStXzvY8t27dwoULF1CnTh3o9XpUrVoVFy5cuOcIKQDe0VS5ZTKZEBgYCKPRCIOh4IeSExERPUhcbg/+iU2B1e6EMcWBgAAJDFoFAnwMo4QQmDLhD2xYdwEAIJNJ8MnyZ9HymfI57pMQAik2F+x3hlHFtAjUKnJ8zrvdz/eLyzFGmMx22JzuQrciYGKyDSq5FAatEo+VCczz8+/cuRP16tVDcHBwlm169uyJwYMHY926dQgPD8+zd0giIqIHWSH7jus/u3btQmRkJPr06eMNowBAr9dj0qRJcLlcWL169T3PU6JECTRv3hx6vT4/u0tEREQFwO0RiI5Lgc3ugtHsgEQigUHjXxg1Y/JBbxgllUqw4NPWuQ+jrM5/wygF1AoZSudxGEX3T5s2bXDq1Kls22zYsAFt27a9Tz0iIiJ6MBTaKXvh4eEAkOlf7mnb9uzZk2/Xt9vtWLt2LWJiYhAcHIynn34atWrVyrfrERERkX88QiAmPgWWf8MoCMCgkyMgwPcwat6Mw/hm7TkAQECABHMWtUDb5yrkuE/eMMrphl6jgEouRalQLQwahlGU6tatW5g3bx5+/PFHREVFweNJX5dLKpUiKSkJOp2ugHpIRER0fxTaQOrSpUsAkOmUvODgYISGhnrb5IebN2+if//+6ba1b98eX331FUJDsy9uarfbYbfbvT+bTKb86CIREdFDSwiBG/FmmK1OmMwOeIRAoFYBqY8FjoQQWDTvGFavOAMAkEiAGfOboWPnSrnqU7LVCUdaGKWQonQxLfQMo+hfERER6Ny5MypVqoS33noL//vf/7Br1y5UrVoV77zzDoDU2QAMo4iI6GFQaAMpo9EIILW4eGYMBgOio6Pz5doDBw5EixYtUK1aNSiVSpw7dw5Tp07F1q1b0blzZ/zxxx/ZFkmdNWsWpk6dmi99IyIietgJIXAz0QKTxYFkixNuj4BBo4BM6nslgiUfn8Dyz/6bhjV1VlO80D37upT36lOyxQmHyw2DRgGlQooyoTro1AW78hv5TggBs9mc6T6r1YqUlJR021QqFWQy31+lY2Nj0aVLF3Ts2BGrV6+GRCLBiBEj0L17d/z000+oVKkSWrVqlat7ICIiKkoKbQ2pgvTBBx+gRYsWCA0NhV6vx1NPPYVffvkFTZs2RUREBH799ddsjx8/fjyMRqP3c+3atfvUcyIiogebEAJxSVYkpdiRYnXC4fJAr5FDLvP9lWbFklP49KMT3p8nTWuMF1+qkqs+mSypfUkLo8oyjCpyrl69Cr1en+EDAB06dMiw/euvv/br/HPmzIHb7caiRYu8X2xKpVLMmTMHAPDbb7/l7Q0REREVcoV2hFTayKi0kVJ3S1tZ5n4JCAjAgAEDsH//fvzxxx/o2LFjlm2VSiWUyqK5pDMREVFhlmCyITHZDrPNBbszNYxSyKQ+H79mxZ9YOOeo9+dxHzyFPq8+meP+pIZRDrhcAgatHCq5DGXDtNCoGEYVNaVKlcK+ffsybG/WrBkWL16cbpEdAHj88cf9Ov+6devQvn17BAUFZbguAL47EhHRQ6fQBlJptaMuXbqEevXqpdt3+/ZtxMfH4+mnn76vfUqrHWWxWO7rdYmIiAi4nWxHvNEGs80Jm8MFnVoOpdz3MOqbNecwZ/ph78+jx9VHv0HVc9wfjxAwmR2pUwa1/46MCtNBoyy0r1eUDaVSiaZNm2a6r0aNGlnu80V8fDxu3ryJChUqZNgXEREBIHU1PyIioodJoZ2y16JFCwDA9u3bM+xL25bW5n45dOgQAGT6MkFERET5x2i249ZtC6x2F6x2FzQqOVQK34OfDev+wvTJEd6fh42ui9eG5Hz1XI/njjDq3wLm5RhGURa0Wi0CAgJw9uzZdNttNhvee+89tGjRIleBFxERUVFUaAOpZ555Bo8++ijWrVuHkydPercnJydj2rRpkMlk6VbBi4+Px19//YX4+PhcXffcuXNISkrKsH3//v1YuHAhlEolunXrlqtrEBERke+SLQ7cTLDA5nDBbHNCrZT5Ffxs3ngJUyb84f35jWG1MPTt2jnuj8cjYLSkhlGB2n/DqOI6qBlGPZCkUmm2i9n4Qq1W45lnnsGWLVswefJkREREYOPGjWjWrBkSEhKwdu3aPOotERFR0VFo35xkMhlWrlyJdu3aoVmzZnjppZdgMBiwadMmXLlyBdOnT083d//TTz/F1KlTMXnyZEyZMiXdue4Mrm7cuJFh2/z5873T8TZs2IC5c+fimWeeQYUKFaBUKnHmzBls374dAQEBWLp0KcqXL59v901ERET/MducuJ5ghs3pRorVCZXCvzBqy6bLmDBmL4RI/Xng6zUwYky9HAcM7n9HRgmRFkbJUC5MB6XC96mDRZnHAyQm2wq6G+l4PHl1Hg9MJlOG7Wlfdt79haVGo4FCofD5/KtWrcIrr7yCDz/8EB9++CFUKhV69OiBLVu2eOtIERERPUwKbSAFAK1atcL+/fsxefJkbNiwAQ6HA9WqVcO0adPw8ssv+3yezL51unPblClTvIFUq1atcP78eRw/fhx79uyBzWZDiRIl0KtXL4waNQoNGzbM/Y0RERHRPVntLkTHmWF3uJFscUApl0KrkvkcJm3ZdBnjRu/xhlF9+z+JMRMa5CKM8sBkdkLgjjCquA4KP+pYFWVyWQA0Bd2JLPizymJW/vnnH1SsWNHn9qtXr073BScArFmzJsv25cqVQ3h4OBISEpCQkIBy5cpBrVbnsLdERERFn0SItNc0yi9pKwIajUYYDIaC7g4REVGhZ3O48E9sCuwOF4xmJxTyAOjV8hyHUS+98gQmTWuc4zDK5fbAZHEAAAK1SqgUUpQvroPcjxX+8tr9fL+IummCy124XxllUgkqlMz5c7Db7Thy5IjP7R9//HEUL148x9cjIiJ62BXqEVJERET08LE73bgWmwK7ww2TxQm5rBCEUWYHJBJJ6sgoZeo0vbwYlVNU5CboKSqyW2WPiIiI8h4DKSIiIio0HK5/wyinGyaLA9IACQyaggujnC7PHf1QQK1MnaYnkz48YRQRERFRfmAgRURERIWC0+X5d2SUCybzvyGQVlE4wiitApp/R0ZJGUYRERER5RoDKSIiIipwLrcH1+JSYHO4YPx3epxBo0BAAYVRDqcbyVYnZNLUfmhVcpQJ00EakLPzEREREVF6DKSIiIioQLndqSOjrPb/wqhArQIBPoY/eR1G2Z1uJFucUMgCoNfIoVMrUCZU63N/iIiIiOjeGEgRERFRgXF7BK7FpYZRJnPqKnYGrbzAwiibw40UqxNKeQB0ajkMWgVKF9Pm+HxERERElDkGUkRERFQgPB6B6LgUWGypI6OEEAjUKiAN8K1GU16HUVa7C2abEyqFDFqVDEE6JUqGaBhGEREREeUDBlJERER033k8AtHxKTDbnDBZHPCkhVE+FgzPyzBKCAGr3Q2L3Qm1QgatWo5gnRLFg9UMo4iIiIjyCQMpIiIiuq88QiAm3gyz1QmT2QG3JzWMkhVQGGWxu2C1u6BRyqBRyVHMoEJooIphFBEREVE+YiBFRERE940QAtfjzUixOmCypIZRBk3BhVFmmws2hwtalRxqpQxhQWoUM6j8PhcRERER+YeBFBEREd0XQghcT7Ag2eKAyeKEy50aRsllvoVRP226hPGj9+ZZGJVidcLudEOnlkOlkKFEsAbBeqXf5yIiIiIi/zGQIiIionwnhMCNRAtMZjuSLU64XB7otXKfw6iN6y/gg3H78yyMSrY44XC5odcooJJLUaqYFgatwu9zEREREVHOMJAiIiKifCWEwM1EC4wpdiRbnXC4PDBo5FDIpD4dv+7Lc5g2KcL788v9nsT7UxvlKIzyCIFksyN1dJZWAaVcijKhOujUcr/PRUREREQ5x0CKiIiI8o0QArduW5GUYkeK1QmH0wO9Rg6F3Lcwau2qM5j94SHvzwNeq45332+YszDKI/6rW6VVQKmQomyoFhoVwygiIiKi+823cfJEREREfhJCIPa2FbeTbf/Wa0oNo5Q+hlErPj+VLox6461aOQ6j3B4PjGYHPP+u6KdSSFG+uI5hFFERZDKZCroLhUZKSkpBd4GIKMcYSBEREVGeE0IgLsmKxGQbzDZXahil9i2MEkLgs49PYOHso95tw0bXxYh36+UojHK5U8MoAYFAnQJqhQzlS+ihUnCgOGXkdDoxduxYlChRAgaDAQMHDsSPP/6I7t27+30ul8uFlJQU78fj8eSq3YPM4/EgJSUFNpst23ZLlizB1q1b870/Iq1gXRb27duHp59+Ot+vFxERgRYtWkCtViMkJARdunTByZMnvfuTkpIwZcoUBlNEVCQxkCIiIqI8JYRAnNGGxGQ7zDYXbI7UleyUCt/CqI/nHcOnC497t40eVx9vjaiTozDK6UoNoySQIEirhFopR/kSep9HadHDp2/fvlixYgXGjRuHNWvW4MKFC+jVqxcSEhL8PlfHjh2h1+u9n7fffjtX7XLi66+/RlJSUp6dL78MHToUer0eOp0Ot27dyrTNmDFjIJPJ0KtXr3zrxy+//IKnnnoKKpUKBoMBe/fuTbffbrdj69at6NGjB65fv56v1ztw4ACeeeYZNGrUCD/88APmzp2L27dvo3Hjxti/fz8AoGzZshgyZAj69u0Li8WS6/4QEd1PEnGv+J9yzWQyITAwEEajEQaDoaC7Q0RElG+EEIg32pBgSp2mZ3O4oFPLfRqNJITAvBmHsXrFGe+29yY9hf6Dq+eoLw6XG8kWJ6QBEhi0CmiUMpQN00EmfTC+j+P7Rd776aef8NJLL+HAgQOoXbs2gNTnXLFiRdSoUQPh4eF+ne/KlSuIiYkBAHzxxRfweDxYs2ZNjtvlRIUKFbBmzRq0bNkyT86XX27cuIHIyEg0a9YMV65cQYUKFdLtX7ZsGXbt2oXvvvsu3/pw+vRpPP3005g5cybq1auH//3vf+jbty+efPJJb5vq1asjMjISPXv2xJ49exAVFZVv12vWrBlat26NqVOnpjvujTfewKFDh9KNlPr999/x7bffYuXKlTnuDxHR/cax6kRERJQn7gyjzH6GUR6PwMwpB/HN2nPebZOmNUafV5/M5qis2Z2pYZRCFgC9Rg6tSo4yYTpIA/wfZUUPj0WLFmH06NHeMAoADAYDevfujbNnz/p9vooVK6JixYoAgJ07d2YZXvja7kFWqlQplCpVKtN9cXFxGDNmDI4ePZrp/rxy4sQJ1KtXzztCrUmTJhnabNmyBSEhITh58iT27NmTr9c7duwYhg0bluG4CRMmoEKFCkhMTERISAgA4JlnnsH48ePx66+/okOHDrnqFxHR/fJgfEVIREREBS7B9F8YZXW4oFX5HkZNmfCHN4ySSIAPZzfNcRhlc7iQbHFCKU8No/QaBcoWZxhF2bNYLNi3bx/69euXYV/Lli1RokQJAMDIkSMhkUigVCoRFxcHAJg/fz4kEgmkUilOnDiRb330eDz49NNP0aBBAwQFBUGv1+OZZ55BvXr10l139erVkEgkkEgkuHr1Klq1auX9OSAgAPv27QMAnD17FlKpFBKJBDKZDMeOHcOiRYtQvXp1KJVKlChRArt27QIA3Lp1C61bt4ZOp4NCoUD16tWxbNmydP1LezYqlQpff/01GjRoAJVKhUcffRTffPNNhvvZsGEDqlatCqVSiRo1auDbb7/N9L4///xzlClTBlWqVMl0f6NGjaBWqxEfH+99Tt27d0dgYCA+/vhjGAwGfPnll5kee+cz6N+/P/bu3et9VsHBwRlqOz366KMICgrK9Fy+8Od6X3/9NVq1apXhHBqNxvtn8E6dOnXCzJkzc9w3IqL7jSOkiIiIKNfijVbEG20w2/4Lo9TKe79muN0eTBy7H5s3XgIABARIMHNBM3TpVtnvPgghYLW7YbE7oVLIoFXJEKRTomSIJkf1p+jhcvHiRWg0GlSunPHP3osvvogXX3wRAPDuu+/ihRdeQKtWrWA2mxEWFob+/fujfv366N27N4xGY771ccmSJXj//fcxfvx41KhRA0IIfP/999i1a1e663bt2tU74qp3794YN26cd9RXQEAAGjZsCACoUqUKwsPD4Xa70bt3b7zyyiu4desWRowYgdq1a2P37t1QKBQAgAsXLuDy5cv4/vvvIZPJcPLkSYwbNw7x8fF4//33MzyboUOHYuLEiZg2bRoOHjyIQYMG4bnnnvOO6NmyZQt69+6NV199FXPmzEFMTAxGjx6d6X1v3rwZtWrVyvK5jBgxAn369MGyZcvw/vvvY8yYMfjf//6Hbdu24fr160hOTsa1a9cyPfbOZ7Bt2zZs27YNixYtAgDo9fo8/2+HP9fr1q1bpufYsWMH6tatC61Wm2577dq1MXnyZFy7dg3lypXL034TEeUHBlJERESUK+nCKLvvYZTL5cG4UXvwvy1/AwCkUgnmftwSHZ5/1O8+CCH+LaDugkYpg0YlR4hBhbBAFcMo8klKSgoCAwMzbHc6nXC73QAApVKJMmXKoEyZMunahIaGomXLllCpVPnaxwsXLqBv374YN26cd1unTp2wbds2yOVy77agoCBvzSiVSoXatWtnWkNKJpOhWbNm3nZJSUk4c+aMd+pc586dvW2bN2+Of/75x/tzmzZtUKZMGUyfPt0bSN35bD755BPvaLP27dtj+fLluHDhAho3bgwAeOeddzBmzBjMnTvXe87GjRujbt266frodDrx559/ZlsD68UXX8TYsWOxZMkSqNVqfPzxx1i/fr33mGbNmqFs2bKZHnvnM4iKisLBgwfztd5Wbq8XExODMWPG4NNPP82wL+0eIyIiGEgRUZHAQIqIiIhyLKdhlMPhxrtvh2P71igAgFwegAWftkKb9hX87oMQAilWJ+xOt7dmVfEgNUIM+RsO0INFp9PBZDKl25acnIyQkBC4XC4AwODBg7FixYqC6B4A4PXXX0fbtm1hs9nQsmVL1KhRA9WqVcPx48ezrL/kj/Hjx2d7nlu3bmHVqlXYtWsXIiMjkZiYiODg4EzbNm3aNN3PCoUCdrsdQOpotMjISEycODFdmzp16mQ4T0JCAlwuV4bRQHeSyWQYOnQoJkyYgHfeeQeffPKJd0QbgAcmnImNjUXbtm3RrVu3TEdP6XQ6AMDVq1fvd9eIiHKENaSIiIgoR3IaRtltLowcsuu/MEoRgI+XPZPjMMpkSQ2j9BoF1AoZSoVoGEaR3ypXrgyz2Yy///7bu02v1+PIkSN4+eWXUadOHUybNq0AewjUqFEDp0+fRsOGDbFz504MGDAAxYsXx6xZs2C1WnN9/mrVqmW5748//kDVqlVx6tQpvP766/jxxx+xZMmSLNtLpdIs9yUkJCA0NNSn1SF9XRA8LRh74oknMi0EXtRFRkaiSZMmaNKkCRYvXpxpG5ks9b+/TqfzfnaNiCjHGEgRERGR33IaRpnNTrw5cAd270yd+qNUSvH5qjZo9Ux5v/vg8QgYzQ643B4YtAqoFFKUCdMhUKe898FEd9FqtWjatGmG4te1a9eGx+OBwWBAyZIlsz1H2gig/LJkyRJs374db7zxBtauXYsTJ04gMjISN27cwMiRI306x6ZNm/DCCy9kui8gIOt/GowfPx6jR4/Gd999h549e6J27doZpi76qnz58oiPj0dKSkq67Q6HI0PbYsWKQSqVwmw2Z3m+bdu2Yfjw4ahSpQrOnz+PgwcP5qhfhdXhw4fRuHFj9OnTB8uXL8/y95QWShYrVux+do+IKMcYSBEREZFfchpGmYx2DO67DQf/uA4A0GhkWLamLZo0z7y2S3bcHg+MZgc8HoFArQIqhQzliuuhU8vvfTBRFkaMGIEFCxbg3Llz3m0mkwn/+9//MrRVqVSw2Wzen0+cOIGbN2/ma/8OHz6MqVOnprtuSEgIevXqhT/++CPTY9RqNSwWi/fnf/75x+dRR3dKTk7OUPA97X5jY2MRFhbm87nKlCmDqlWrYuHChem2r169OkPbtBX9rl+/num5Dh8+jB49emDo0KHYsmULJBIJFixYkK5NWg2w+ymvrrllyxa0adMGM2fOxNSpU73bb9y4kaFtbGwsAKB69ep5cm0iovzGGlJERETks5yGUQnxVgx+ZRv+OpcIADAYFFi2th1q1y3udx9cbg9MZgcgAQK1CigVMpQL00GpyHqKEJEvunbtinbt2qFFixb44IMPUKZMGXz00UeZBji1a9fG+PHjMXDgQMTExODDDz+ERCLByZMnUbx4cTz55JO4fPkyoqOjAaQWsL558ybCw8MBAGFhYd4pcr62A4BLly6hdevWeOuttxAYGIiLFy9i/vz56Nq1a6b31LBhQ3zwwQewWq24ffs2Zs6c6Q2C3G43IiIi4HK5YLPZcPLkSQCAXC5H48aN043Eef755/HOO+/AarWibNmyOHXqFGbPng2n04mvvvoKAHD9+nVcvHgRAHDw4EF4PB4EBgbizz//9J4/7dlMnz4dPXr0QFxcHJ555hkcOXLEOwUw7dhHH01d4KBz58744YcfMtzbxYsX0bFjRzzzzDP46KOPEBAQgI4dO+LHH3/ElStXULFiRfz666/o2rUrmjdvjq1bt3qntd0pIiICdrsdf/31F5KSkrzPvlatWhlqZEVGRuLatWs4efIkbDYbwsPDIZFIUK9ePW8Np/bt22Pv3r1Yv359usLw/l5v6dKlGDZsGEaNGoXHHnvM2w5ILSofFRWVbpTa+fPnUaxYMTz11FMZrklEVCgJyndGo1EAEEajsaC7QkRElCMej0fE3raI81cTxdELt8S+0zHi+MVYcf5q4j0/uyL+ERUrLRfAPAHME8VCPxE/br3k07F3f05Hxon9f14XEWdviLNXEkTkdaNwOF0F/XgKBN8v8ofdbhdjxowRYWFhQq/Xi0GDBonVq1eLrl27pmt34sQJUb9+faFSqcRjjz0mli9fLurUqSMAiFq1agkhhOjQoYMAkOmnWrVq3nP52m7kyJFi4cKFYvDgwaJ06dJCo9GIJ598UsyYMUPYbLZM7ycmJka0adNGaLVaUbVqVbFy5UrvvjNnzoiAgIAM15TJZOLKlSvpzmO1WsXrr78uAgMDRalSpUT79u3Fzp07RZs2bURYWJjYsGGDGDFiRLrzdOnSRcybNy/dtrRnI4QQy5cvF+XKlRMqlUq0aNFCHD58WAQFBXmPTRMdHS2USqW4evWqd9v169dFhQoVRL169YTZbPZu37VrlwAghg8fLoQQ4ocffhAKhUIAEEePHs3wfG7fvu3df/fnk08+ydC+Y8eOmbb99ttvvW1at24tAIiOHTvm6nohISFZ/rlQKBQiNjY2XfuuXbuKiRMnZrgmEVFhJREiB2N2yS8mkwmBgYEwGo0+FW8kIiIqTIQQiDfakGDyf2TU1SgTBr68FdejU2vFlCylxRfftEfFSkF+98PudCPF4oRMJoFeo4BWKUeZMC1k0oezAgHfL+hhMm/ePMTExGDRokU5Or5Pnz5YsGBBnqxG6Iu4uDhMmzYtywLkeS0yMhLPPfccjh8/7h2pRURU2D2cb3BERETkEyEE4tLCKKt/YdTFC4no2+MXbxhVvoIBX2/smKMwymp3IdnihEIeAINGAb1agXLFdQ9tGEX0sBkzZgwiIyOxb98+v489cOAAHnvssfsWRnk8HsydOxdjxoy5L9dzOBwYPnw4vv/+e4ZRRFSk8C2OiIiIMiWEQFySFYkmG1KsTlgdvodRf56Kw6s9f0V8XOqqT5WrBOPr7zuiTFm9332w2Jww25xQKaTQqeUI1ClRNkyLgABJju6LiIoeiUSCDRs24Mcff8SJEyd8Ps5qteLs2bPpCoLnt927d2PQoEEoX97/1UP9ZbfbMXbsWMyaNQu1atXK9+sREeUlTtm7DziknoiIihohBGL/DaPMNhdsfoRRRw7dwJCBO2BOcQIAatQKxfIv2yMoSOl3H1JsLtgdLmhUcmiUMoQYVAgLVEEiYRjF9wt6WB07dgz16tUr6G4UCn///TdCQkIQFBRU0F0hIvIbV9kjIiKidIQQuHXbitvJaWGUGzq1HCrFvV8b9oVHY/jrO2G3py55Xv+pkvh8VRvo9Aq/+5BsccLhckOnVkClkKJ4sBohelWO7omIHhwMo/6TthIhEVFRxECKiIiIvIQQuJloQVKKHSlWJ+xOD3RqmU9h1G//u4J3R4TD6fQAAJq1LIuPlz4Dtdq/1w2PR8BkccDtFjBoFFAqpChVTAuDxr9Qi4iIiIgKLwZSREREBCA1jLqRaIExXRglh0ohveexP35/ERPH7ofHk1oJoH3HipizqAUUPhx7J7fHA5PZCSEEAnUKKORSlAnVQquS5+ieiIiIiKhwYiBFREREqWFUggVG839hlF4jh1J+70Dp69VnMWPKQe/P3V6sjA/nNIXUzxXwXG4PTGYHJBIgUKeAUi5D2TCdT4EYERERERUtDKSIiIgeckIIXI83w2Rx/Fu3ybcwSgiBzxefxCcLj3u3vTLgSYz7oJHfK+A5nG4kW52QBkhg0CigUspQLkwHuYwLAhMRERE9iBhIERERPcQ8/4ZRyXeEUQaNHIp7hFEej8DsDw/iq9XnvNuGvF0bw0fX9XsFPJvDhRSrCwpZAPQaOTQqOcqGav0eYUVERERERQff9IiIiB5SHo9AdFwKki0OmCwOON0eGLT3DqOcTg/GjdqTLox6d0JDvP1OPb/CKCEELDYXUqxOqBRS6DVyGLQKlCuuYxhFDw0hRLb79+3bh6effvo+9cY3ly5dQteuXREaGorQ0FAMGTIEKSkpeXrsmjVrUKNGDSiVSpQuXRrDhw9HUlKS323udvnyZQQGBiI8PNzHu82Z/H5Gvp7/yy+/RO3ataHVavHYY49h/vz5mf6Zy01/iYhyiiOkiIiIHkLuf8Moi80Jo9kBt0fAoJFDLss+jLJaXRjx5u/YFx4NAJBKJZg2pym6vvi4X9cXQsBsc8HmcEGjlEOjkiFYr0TxILXfI6yIiqJffvkF06ZNw8mTJ6FUKvHLL7+gefPm3v12ux27du1C//79oVarC7Cn6V2+fBmNGjVCsWLF8N577yEpKQmLFy/G2bNnsWvXLshkWf/zwtdjZ8yYgYkTJ6J79+4YOHAgzp07h88//xwHDhxAREQEFAqFT23uZrPZ8OKLL8JkMuXb8/HnPnN6rK/n/+ijjzB69Gh07NgRAwYMwNGjR/Huu+/C7Xbjvffey5P+EhHliqB8ZzQaBQBhNBoLuitERETC5XKLKzeM4mxUgog4e0Ps//O6OB0ZL85fTcz2E3HqhqhTb60A5glgnlAoF4rPVp6453F3f85FJYhD526KfadjxIlLceL81USRYLQKj8dT0I+mSOH7RdF16tQpodVqxccffyz2798vxo8fL86ePZuuTbVq1YRKpRKvvvqqeOSRRwqmo5lo3769KFWqlEhISPBu27ZtmwAgli5dmutjr169KmQymRg/fny6Y7/77jsBQCxZssSnNpl57bXXBAABQOzevduf2xY7duwQiYmJPrXN72fkS5uEhASh1WrF4MGD052/VatWonbt2nnWXyKi3JAIcY9xwpRrJpMJgYGBMBqNMBgMBd0dIiJ6iLncHlyLTYHV7oLJkjoyKlCrgOweU+Rib5kx+JXfcOnCbQCATi/HZyvboGGjUn5d3+MR3uumFU4vFaKFQZtxNANlj+8XRdfatWvxxRdfYM+ePVm2+fvvvxESEoKTJ0+if//+iIqKun8dzMK1a9dQvnx5TJo0CR9++GG6ffXq1YMQAsePH8/VsUuXLsWQIUMQExOD0qVLp2tXvXp1lChRAi+++OI92/z+++/ptn/99dd45ZVX8Nprr2HFihXYvXs3WrZs6fO9SyQSn47J72f0008/+XR+IQTOnj2LMmXKIDg4GEDqyNQGDRogJCQE27dvz3V/iYhyi+MviYiIHhJOlwfX4v4No8wOCOFbGBV1xYjBfbchJjq1nkixUBWWr22HJ6uH+nV9l9sDk8UBCCBQq4BCLkXZUC00KnmO74moqDh79ixq1qwJj8fj3ZY2PTUoKAiJiYnppqs++uijub7mlClT/Go/cuRIBAUFZbn/4MGDAIDOnTtn2NejRw9MmDABJpMp04DU12MTExMBINNpilWqVMHRo0d9anOn8+fP480338Sbb76JXr16YcWKFVneY27l9zPatWuXz+evXr06AMDj8eD48eOYN28ezp075z1HbvtLRJRbDKSIiIgeAk6XG//EpsDmcMNotgMADD6EUefOxOP1fr8hId4GAChTVodV3zyHRyr4948Tp8sNk8WJAIkEBp0CKoUUZcN0UN6jgDrRg6JKlSoIDw+H2+3Gtm3bsG3bNixatAgAoNfr86V22tSpU/1q379//2wDqejo1Npx5cuXz7CvQoUKAFJHdtWuXTvHx1auXBkA8PPPP+PVV1/1trFarTh8+DBiY2N9apPGbDajR48eqFq1KhYtWoSIiIgs7y8v5PczSgvj/Dn/a6+9hi+++AIA0KdPH9SsWTNP+ktElFsMpIiIiB5wdqcb12JTYHe4YDQ7IJFIYNDKIQ3IPow6HHEDQwfvgDnFCQCoXCUYK79qh+IltP5d3+FGstUJuUwCvUYBjVKGMqE6yGVcSY8eHjKZDM2aNQMAREVF4eDBg35NGcuJvK7MYbVaAcA7BexOoaGpIyazWpnN12M7d+6MKlWqYNiwYTCZTHj22Wdx8+ZNTJ06FdHR0ShZsqRPbdIMGTIEN27cwPHjx6FUKu95j0IImM3mLO/h7vtTqVTpin7n9zNKTk72+/zdu3dH8+bNsXHjRqxbtw7x8fHYtm0bJBJJrvpLRJRbfBMkIiJ6gNkcbvxzKxm2dGGU4p5h1M7fovBav9+8YVSdesXx1fcd/QqjhBCw2F1ItjqglAfAoFFAr1agfHE9wyiiIqh48eIAAKPRmGFfWrCh1+tzdaxSqcT27dtRu3ZtDB8+HE888QRatWoFo9EInU6HqlWr+tQGAFauXImvvvoKc+fOhUqlws2bN70jjBITE3Hz5s0M4dPVq1eh1+szfACgQ4cOGbZ//fXX9/UZBQYG+n3+Dh06oF+/fvj555/x/vvvY/v27d4aUrnpLxFRbnGEFBER0QPKanfhWlwK7A43TBYHpAESGDQKBARkPzVo04aLmPTefng8qaMrmrcqi0WfPwO12vfXBiEEzDYXbA4XNEoZNCo5gnRKlAhW58vUJCLKKK9rSJUtWxYAcOXKFe/omTSXL19O1yY3x5YvXx579+7FhQsX8M8//6BcuXKw2WyoU6cO2rdv73ObtLDotddey9Cf7t27AwAiIiLQqFEj7/ZSpUph3759Gdo3a9YMixcvRp06ddJtf/zxx+/rM0rbnpPzA8CIESMwY8YMnDx5Eu3atctVf4mIcouBFBER0QPIbHMiJs4Mu9MFk8Xpcxi1aulpzJ91xPvz810rYca85pDLfR/R5BECyRYnnC43dGo5VAoZwoLUCNErGUYR3Ud5XUOqadOmUKlU2LZtGxo0aJBu3/bt21GlShUUK1Ysz46tUqUKqlSpAgDo0qUL1Go1BgwY4HObuXPnekdEpTl9+jTee+89zJkzB/Xr108XRgGAUqlE06ZNM72HGjVqZLkvN/fpz7FdunTJ8fkBwGKxAPgv2MpNf4mIcqvQj5c/cuQIOnTogODgYGi1WjRs2BDr1q3z+fjY2FjMmjULPXr0QMWKFSGRSPx+GZ47d673uLSVKIiIiAqrZIsD0XEp/07Tc0ImDUCgNvswyuMRmDfzcLow6pWB1TB7YQu/wii3R8BodsDl9sCgVUCtlKF0MS2KGVQMo4juMyGEX5+0ItZZ0el06NixI5YtW5Yu6AkPD8f27dsxaNCgdO2vXbuW42PvtGjRImzZsgUTJ070TjHzpU3Dhg3Rvn37dJ+GDRt697Vu3Trb+82J/H5G/px///79Gfo3ffp0KBQK7yiy3PxeiIhySyLyutphHgoPD0e7du2gUCjQu3dvBAYGYtOmTbhy5QpmzJiBCRMm+HSOVq1aQSKRoHLlyoiOjobFYvG5yOP58+dRp04dyGQymM3mDMN6fWEymRAYGAij0cglU4mIKF8ZzQ7cTDDD5nQj2eKAQiaFXiPPNgxyONyYOHYffv4x0rttxJh6eGNYLb9CJJfbA5PZAUgAg0YBpVyKMqFaaFTyXN0TZY7vF0VPREQE7HZ7hlX2atWqlaGodGRkJK5du4aTJ09i9uzZWL9+PSQSCerVqwedTlcAvU91/vx5NGjQAGXKlMFrr72G+Ph4fPLJJ6hWrRr27t0LlUoFAJg1axYmTJiAb7/9Fr179/br2DSJiYmYOnUqFi9ejEGDBmHFihUZ/pvkS5s7pf3bYPfu3X4VlZfJZPj999/RokWLAn9GvrQ5dOgQGjVqhLZt26Jjx45ITk7Gzz//jEOHDuGjjz7CyJEj/e4vEVGeE4WU0+kUlSpVEkqlUhw/fty73WQyiWrVqgmZTCYuXrx4z/PcvHlT7NmzR5hMJiGEEFWqVBG+3rbL5RINGjQQDRs2FH379hUAREREhN/3YjQaBQBhNBr9PpaIiMhXiSabOH81UZy4FCv2nY4Rh8/fFOeiEsT5q4lZfo6evSmaNF8ngHkCmCckknli8ow/sj0ms8+py3Fi/5/XRcTZG+LslQRxOSZJ2Byugn4kDzS+XxQtt2/fFgqFQgDI8Pnkk08ytO/YsWOmbb/99tsC6H16x44dE23atBE6nU6UKVNGDBkyRCQlJaVrs3LlSqHX68X27dv9Pnb8+PGiVatWQqVSiZCQEPHZZ59l6IMvbTKze/duAUDs3r070/1ut1vcvn3b54/dbi+QZ+RLmzVr1oj69esLlUoltFqtaNq0qdi8eXOO+0tElNcK7Qip7du3o127dhgwYAC++OKLdPu+++479O7dG+PHj8fMmTP9Om/VqlVx4cIFn0ZIzZw5E1OnTsXx48cxb948rF27liOkiIio0BFCINFkR5zRCqvdBbPNCZVCBq1Klu1IgbhYC94csB3nziQAAJRKKeYtbok27Sv4df3Ua7qgkAVAr5FDo5SjTJgWMmmhrwxQpPH9gh5Uffv2Rbly5VC/fn20a9cu0xFhvrTJiaioKFSsWNHn9qtXr0b//v3z5NpERA+bQlvUPDw8HADQtm3bDPvStu3Zsyffrn/mzBlMnToVEydORLVq1fLtOkRERLkhhEBckhWJyXaYbU5Y7S6olTJolNmHUVFXjHjtld8QfS0ZABAYqMCSVW1Rt0EJv65tsblgdbigVsigUclg0CpRKkRzz+LpRERZSVsdL7dtciKrVfaycvcqe0RE5LtCG0hdunQJAFC5cuUM+4KDgxEaGuptk9dcLhf69++PJ554AuPGjcuXaxAREeWWEAI3Ey1ISrHDbHPB5nBBo5JDo8z+r/fTJ+Pw5oDtuJ1oAwCUKq3F8rXt8Njjwdked/e1k61OOJxuaFVyqJUyhBhUCAtk8XIiKrqyW2WPiIjyVqENpIxGIwAgMDAw0/0GgwHR0dH5cu2ZM2fi1KlTOHToEORy/wux2u122O12788mkykvu0dERASPELgRb4bJ4kCK1Qm70wOdWg6VIvu/2sN//wej39oNq9UFAHi8ajCWr22HEiW1vl/bI2CyOOB2C2/x8hIhGgTplLm6JyIiIiJ6eLC4w11OnTqF6dOnY8yYMahbt26OzjFr1iwEBgZ6P+XKlcvjXhIR0cPM7RGIjkuByeJAsiU1jNJr7h1G/fDdRQx7bac3jGrYqBS+2tDRrzDK5fYgyWyHxyMQqFNApZShbJiOYRQRERER+aXQBlJpI6PSRkrdLa2QZ17r168fKlWqhClTpuT4HOPHj4fRaPR+rl27lncdJCKih5rL7cG12GSkWJ0wmh1wuj0waORQyqVZHiOEwOeLT2Di2H1wu1MX9WjfqSJWfNkOhkDfgySH0w2j2YEAiQSBOiXUChkeKa6HVu3/aGIiIiIiergV2il7abWjLl26hHr16qXbd/v2bcTHx+Ppp5/O8+ueOnUKAKBSqTLd37hxYwDAjz/+iBdeeCHTNkqlEkolvykmIqK85XR5cC0uBTa7C0azAx6ROmVOLsv6+yW324NpH0Tgu6//8m57dVA1vDfxKb8Kj9+9kp7635FRXEmPiIiIiHKi0AZSLVq0wKxZs7B9+3b07t073b7t27d72+S1QYMGZbp97969uHTpEjp37oywsDBUqFAhz69NRESUFbvTjejYFNicqWEUBBCoVWQbCNlsLowZvhu/b//Hu+3dCQ0x4PXqPhceF0J4C6b/t5KeAqVCtFxJj4iIiIhyTCKEEAXdicy4XC5UqVIFMTExOHjwIGrXrg0ASE5ORuPGjXHhwgWcPXvWu9RqfHw84uPjERoaitDQ0CzPW7VqVVy4cAH+3nb//v2xdu1aREREoFGjRn4dmza90Gg0wmAw+HUsERGR1e5CdFwK7E43TGYHJBIJDFo5pAFZh1FJSXYMHbgdJ47FAgDk8gDMmNcMz3d9zOfreoRAssUJp8vtLZhezKBCKFfSKxT4fkH04Lt27do969H60oaIqDAqtOPsZTIZVq5cCY/Hg2bNmuH111/HmDFjUKtWLZw9exZTpkzxhlEA8Omnn+KJJ57Ap59+muFc/fv3935u3LiRYVt8fPx9uy8iIiJ/mK1OXItNgc3xb/2mAAkCtYpsw6iY6GS83O1nbxil0cqxdE1bv8Iot8cDY4oDLrcHBq0CaqUMpUI0CAtSM4wiykNZfUkaERGBFi1aQK1WIyQkBF26dMHJkyfvb+eycOnSJXTt2tX7RfCQIUOQkpLi07HHjh3Ds88+672vPn36ICYmJkftIiIi8NxzzyEsLAxhYWHo06eP910/v+Tm3v059uzZs+jevXu2M0J8aUNEVJgV2il7ANCqVSvs378fkydPxoYNG+BwOFCtWjVMmzYNL7/8ss/nWbt2bbbbpkyZku2oKiIiooJgMjtwI9EMu8MNk8UJuUwCvUaBgGwCobN/xuPNAdsRH2cFAISGqbFsTVs8Wd33v+ecLg+SLQ5AkjotUCmXokyoFhoVi5cT5ZVffvkF06ZNw8mTJ6FUKvHLL7+gefPmAIADBw7g2WefxfDhw/Hee+/h+vXr+PLLL9G4cWPs2LEDTZs2LbB+X758GY0aNUKxYsXw3nvvISkpCYsXL8bZs2exa9cuyGRZ//Pi9OnTaNasGZ544glMnz4dt27dwueff46IiAicPHnSu2CRL+127dqFdu3aoXbt2pgwYQKMRiOWL1+Otm3b4siRI1nWgy2oe/fn2CFDhmD58uWQyWQoVapUpufzpQ0RUWFXaKfsPUg4pJ6IiPyVmGxD7G0rbA4XUqxOKORS6NXybEcn7f79H7zz1m5YrS4AQIVHA7FibTuULa/3+bp2hxspViekUgkMGgVUCinKhumgyGYVPyoYfL8ouk6fPo2nn34aM2fORL169fC///0Pffv2xZNPPgkAaNasGVq3bo2pU6emO+6NN97AoUOHCnSk1HPPPYdTp07hzJkzCAkJAQD89ttvaN++PZYuXYo33ngjy2Pr1asHmUyG/fv3Qy5PDbh3796N1q1bY/78+XjnnXd8btejRw8cOnQIly5d8oZPp0+fRq1atfDbb7+hbdu2Pt3Pzp07Ua9ePQQHB+frvftzbM+ePTF48GCsW7cO4eHhiIqKynA+X9oQERV2hXbKHhER0cNICIG4JCtib1thsaeGUSqF7J5h1Lovz2HY4J3eMKpegxJYt6mTz2GUEAIWmxPJVgcU8gAEahXQaeR4pISeYRRRHjtx4gTq1auHt99+G02aNMHMmTO9YRSQOl3tzp/TTJgwAadOnUJiYuL97K7XtWvXsG3bNgwePNgbqgBAu3btULduXSxbtizbY0+dOoXx48d7QyYgdUZEUFAQLl686Fc7IQR0Ol26kVBpI6zsdrvP99SmTRvvKtvZye29+3Pshg0b7hmo+dKGiKiwK9RT9oiIiB4mQgjcTLQgKcUOi80Fq8MFjVIGtVKWZRjl8QgsmHUEXyz/07vtuecrYtb85lCqfPtrXgiBFKsTdqcbGpUcGqUMQTolSgSzXhRRXjl79ixq1qwJj8fj3Zb2/6+goCAkJiZ6f/76668znZan0WggkUigVCp9uuaUKVP86uPIkSMRFBSU5f6DBw8CADp37pxhX48ePTBhwgSYTKZMR+yVK1cOt2/fztB3s9kMm83mnXbma7uXX34Z3bt3x9SpU/H+++8jMTERL730EkqWLInWrVv7dd++yM295+ZYIqIHGQMpIiKiQsDjEbieYEayxfFvOOSBViWHWpn1X9U2mwvjRu3Bb79GebcNHlITo8bWR0CAb0GSxyNgsjjgdgvoNan1oooHqRGsVzKMIspDVapUQXh4ONxuN7Zt24Zt27Zh0aJFAAC9Xp/u/2/dunXL9Bw7duxA3bp1odVqfbrm3VP+7qV///7ZBlLR0dEAgPLly2fYV6FCBQDA33//7V0d+256fcYRm7Nnz4bb7Ubv3r39atetWzdMnz4dH3zwAb788kvcvn0bpUuXxu+//+7z8/FHbu49t8+NiOhBxUCKiIiogLncHsTEmWGxO2GyOOF0eaDXyKHMZqrc7UQb3hq8w7uSnlQqwaRpT6PXy1X9uq7J7AAABOoUUMikKB2qhU7N4uVEeU0mk6FZs2YAgKioKBw8eBAtW7b0+fiYmBiMGTMm0xWls5LXpWKt1tTFEjKrt5S2QJCvK84BqfWbZs2ahYkTJ6Jq1az/25VVu4EDB2L9+vU4c+YMgNTpd2XLls30HEIImM3mTPdZrdYM/VapVOkKjefm3vP6uRERPShYQ4qIiKgAOV1u/BObArPNCaPZAZfbA4M2+zAq6ooRvbv+7A2jNBoZlqxq41cYZXe6YTQ7EBAgQZBOCbVChvIl9AyjiAqh2NhYtG3bFt26dcty9NT9ULx4cQCA0WjMsC8tdMlsdFNmLl68iJ49e6J58+aYNGmS3+2uXr2KBg0aoHz58rh8+TJWrVqF33//HW3atIHFYslwnqtXr0Kv12f4AECHDh0ybP/666/z7N7z8rkRET1IOEKKiIiogNgcLkTHmWF3uGC0OAABBGoVkEmz/r7oxNFbGDp4B5JupxbtDSuuwdLVbfBk9VCfrimEgNXuhsXuhFIuhU4th0YlR5lQbbbXJaKCERkZifbt26NVq1ZYvHixX8fmdQ2ptNFHV65c8Y7sSXP58uV0bbKTmJiITp06wWAw4LvvvoNUmnkAn127t99+G3q9Hps3b4ZcLkelSpXQsGFD1K1bF5999hnefffddOcqVaoU9u3bl+EazZo1w+LFi1GnTp102x9//PE8u/e8em5ERA8aBlJEREQFwGxzIibeDLvDDZPFgQCJBAadHNKArEOhbf+7gvdG7YHD7gYAVK4SjKWr26J0GZ1P10xXvFwpg0Ylh0GrQMkQDQJYL4qo0Dl8+DA6deqEIUOG+F0PCsj7GlJNmzaFSqXCtm3b0KBBg3T7tm/fjipVqqBYsWLZXsPlcuHFF19ETEwM/vjjD4SFheWo3a5du/D666+nW4mvevXqqFmzJvbs2ZMhkFIqlZkWigeAGjVqZLkvTW7uPS+eGxHRg4hfhRIREd1nJrMD0XEpsNldMJkdkAZIEKhVZBlGCSHwxbI/MWroLm8Y1bhpaXyzsZPPYZTbI2A0O+BweqDXKKBRyREWpEYphlFEhdKWLVvQpk0bzJw5M12wdOPGDZ/PIYTw65NWYDsrOp0OHTt2xLJly5CYmOjdHh4eju3bt2PQoEHp2l+7di3DOd5++23s2rULX3zxRbZFvO/VzmAw4PDhw+nqZMXHx+Pvv//OMAopL+Tm3v09lojoYcERUkRERPeJEAK3k+2ITbLC5nAhxeqEQiaFXiPPckU7l8uDGZMjsP7rv7zbur5YGVNmNoFCkXWdqTs5XR4kW9IXLy9VTAO9RpH7myIin0VERMBut+Ovv/5CUlISwsPDAQC1atVKV/B66dKlGDZsGEaNGoXHHnvM2w5ILdwdFRWFMmXK3Ofep5o2bRoaNGiAxo0b47XXXkN8fDw++eQT1K9fH8OHD/e2mzVrFiZMmIBvv/3WuzLe559/js8//xx16tRBcnIyVq5c6W0vlUrRv39/SCQSn9pNmDABw4YNQ6tWrfD888/Dbrdj1apVsFqtGDlypM/3I5VKfV5RNDf37uuxREQPE4nI6+U3KAOTyYTAwEAYjUYYDIaC7g4RERUAIQRik6y4nWyHxeaExe6CSiGDViXL8h9D5hQH3hkejj27/vumffjouhjydm2f/wFld7iRYnVCKpXAoFFAqZCiTKgOKh/DLCq8+H5RtCQlJaFEiRJwOBwZ9n3yyScYNmyY9+dixYqlG0lzJ4VCgejo6Cynut0Px48fx7hx4xAREYHAwEB07twZs2bNQmBgoLfNqlWrMGrUKPzwww9o06YNTp06hfr168PlcmV6zvbt22Pr1q0+twNSR5HNmTMHZ86cgUqlQoMGDTBjxgzUqlUrw3Eejwcmk8nne9RoNFAoMob2Obl3f469U//+/REeHo6oqKgs++lLGyKiwoqB1H3AF0YiooebxyNwI8EMk8UBs80Fm8MFjVIOtTLrb+ZvXE/BkIE7cOF86j9K5fIATJvbFF26VfbpmkIIWOwuWO0uFi9/QPH9gsh3UVFRqFixos/tV69ejf79++dfh4iIiFP2iIiI8pPL7UFMvBkWmxPJFiccLg90ajlUiqz/Cv7zVByGDtqB+LjU5cANBgU+XvoMGjUp7dM1PUIgxeKEw+WGViWHWilD4L/Fy30dWUVE9CDJapW9rNy9yh4REeU9BlJERET5xOFyIzo2BbZ/V9JzewQMGjkU8qyny/32vysYN3oPbLbU4uXlH9Hj8y/a4tHHgny6ptvtgcnihEeI1Cl6cinCgtUI1ikZRhHRQyu7VfaIiKhgMJAiIiLKB1a7C9FxKXA43TBaHIAAArWKLKfLCSGwYslpfDT3qHdbvYYl8MmyZxEcovLpmg6XG8kWJwIkqddSyKUoU0wLrVp+74OJiIiIiO4jBlJERER5LNniwPUECxzO1JFRARIJDDo5pAGZh1EOuxuTJ/yBzRsvebd16f4YPpzVFArlvYuPCyFgc7hhtrkgl0mg1yigUshQNlSb7WgsIiIiIqKCwkCKiIgoDyUm2xB72wq7041kiwNyWQD0agUCAjKfLnc70Ybhb+zEscO3vNtGvlsPr79Vy6cpdkIIb6F0tUIGjUoGnVqB0qGaLAMwIiIiIqKCxkCKiIgoDwghEJdkRWKyHVa7C2ab07u6XVbB0pXIJLw5YDv+uZoMAFAqpZjzUQu06+jbSlAej4DJ4oDL/V+h9BCDCmGBKtaLIiIiIqJCjYEUERFRLnk8AjcSzDBZHP+NVlLKoFHKsgyGDv5xHSPe/B0mkwMAEBqmxpJVbVCjVphP13S5PTB5a1MpoZAHoFSIFgatIs/ui4iIiIgovzCQIiIiygWX24PouBRY7S4kW5xwuP4brZSV77+9gA8n/gGXSwAAqjwRgiWr2qB0GZ1P17Q53DBbnZBKJdBrU1fSKxOqhVrJv9aJiIiIqGhgcQkiIqIcsjvduHorGWabC0azA063BwZN1mGU2+3B3OmH8MG4/d4wqkXrcvhmY0efwqjUelFOpFgdUMgDEKhVQKeWo0JJPcMoIvLZ0aNH0ahRI4SGhqJp06b4888/C7pLRET0EGIgRURElANmmxNXbyXDanfBmGKHRwgEahVZrmpnNjvx9hu/Y/WKM95trw6qhs9WPgut7t7T7FLrRTlhtbugVcmh1ygQpFOiXHEdZFL+dU5EvomPj0f37t2xcOFCxMXF4YUXXkDXrl0LultERPQQ4hssERGRn4wpdkTHpsBmTx0ZFRAgQaBWmWUwFBOdjJe7/4JdO/4BAEilEkye8TTGf9AIUh/CJJfbA6M5tXi5QauARilDiWANSoZoEMDi5UTkh9OnT6Nv3754+umnIZFI8MYbbyAyMhKxsbH5ds1bt24hJiYm385P+evatWv5fo3o6Ghs3boVv/32W75fi4gKDwZSREREPkpbSe9GogVWhwsmiwNyaerUOWlA5sHQsSM30bPzFlw4nwgA0OnlWLa2HXr3fcKna9qdbhjNqYXPg3QKqBUylCuuQ7BeyZX0iMhvrVu3xowZM7w/79u3D6VKlUKxYsUytBVCoHz58li2bFmOrxcdHY0yZcpgx44d6bYbjUb06dMHgYGBqFy5MmbOnAmHw5Hj62Tno48+gkQiSfd55ZVXsj3m2LFjePbZZ6FWqxESEoI+ffpkGqpFRETgueeeQ1hYGMLCwtCnTx/cuHEjx/3I7Jl/+eWXqF27NrRaLR577DHMnz8fQogcPAn/nD17Ft27d0eLFi3u2dbtdqNChQoZ7i/tk9koPCEE1qxZg6pVq6JcuXLo0KEDwsPD07Xx9fdAREUTC04QERH5wOMRuJFogclsh8XmgtXhgkohg1aV9Up6G9dfwIcTD8Dp9AAAylcwYMnKNqhUOeie1xNCwGJ3wWp3QSmXQqeWQ62UoUyoDnIZv08iotyLjY3F0KFD8fHHH0MqzTjd+I8//sCNGzfQvXv3HF/D5XLB7XZn2D5+/Hhs3rwZ48ePR3x8PJYsWYJRo0bl+DpZcTqdWLhwIerVq4c333zTu/2ZZ57J8pjTp0+jWbNmeOKJJzB9+nTcunULn3/+OSIiInDy5EkEBgYCAHbt2oV27dqhdu3amDBhAoxGI5YvX462bdviyJEjUKlUfvfj7mf+0UcfYfTo0ejYsSMGDBiAo0eP4t1334Xb7cZ7772XJ88oM0OGDMHy5cshk8lQqlSpe7ZPSkrCxIkTM2y/ePEi5s2blyGQMpvNeOWVV/Dbb7/hzTffxOrVq/Hkk0/CYDB42/j6eyCioouBFBER0T243B7ExJlhsTu9K+lpVfIsC4m7XB7Mm3kYX646693WuGlpLPysNYKClPe8nkcIpFiccLjc0Kjk0ChlMGgVKBmsQUAWI7GIqOg5fvw4hg8fjiNHjsDpdOKrr75C375978u17XY7XnjhBXTr1g0vvvhipm3Wr1+P1q1bIzQ0NM+v/8svv+DVV1/FpEmTAKQGLwEBeR+2f/XVV4iOjsbXX3/t00gfABgwYABq1KiB/fv3Qy6XAwCee+45tG7dGitXrsQ777wDAFiyZAlKliyJffv2ecOnbt26oVatWti7dy/atm3rdz/ufOaJiYmYNGkSBg8ejBUrVnjbxMTEYP369fkaSCUkJGDr1q1Yt25dhlFLmSlWrBgGDx6cYfuECROgVCrRpUsX7zYhBPr27Yvjx4/j2LFjqFq1aqbn9PX3QERFFwMpIiKibNgdbkTHp8DmcCPZ4oDbI2DQyLMsXm4y2jF62G78sfe/KQV9+z+J9yY9BZkPI5tcbg+SLU54hIBBo4BSLkVYkJpT9IgeMDdv3kTr1q0xePBgLFmyBEqlEqVLl75v1x80aBACAwMxb968TPd7PB5s3LgRs2bNypfrR0dHo2TJkt6f8yOM8ng8mDt3LmrWrImGDRv6dMy1a9dw6tQpbNy40RuCAECrVq0QFBSEixcvercJIaDT6dKNhEobtWO32/3ux93PPDg4GAcPHkSZMmXSXdNkMiEsLMyn+8mpDRs2AADWrVuXq/N89913aN++fbrRTBs3bsRvv/2Gs2fPomLFipke58/vgYiKLo75JyIiykKK1Ymrsb6vpHflbyN6vfCzN4ySySSYOqsJ3p/aOF0YtWnFZ/j6o9nYtOKzdMdnqBellKFscR1CDCqGUUQPmNWrV6Ns2bKYP38+atWqhapVq6abrpTmr7/+wqZNm3w+7+HDh1GhQoUMo0d2796NOnXq4Oeff8bMmTNx7NgxrF+/PtOpemntb9++7Z1qNXHiRPTv3x+fffaZt55RrVq1sGvXrnTHhYeHo2nTptBoNKhYsSIWLlyYbn///v0hkUgghMDUqVMhkUjQsmXLdG2EEEhJSfH543K5Mr2Hbdu24cKFCzh9+jSCg4Px3HPP4c8//8z2+ZUrVw63b99Ghw4d0m03m82w2Wzppq+9/PLL+OuvvzB16lS4XC7ExsbipZdeQsmSJdG6dWu/+3H3M5dIJKhevTqCg4Ph8Xhw9OhR9O7dG+fOncOHH36Yaf/z6tnlhUOHDuHvv/9Gr1690m2fP38+GjVqhCFDhiA0NBR6vR6dOnXC6dOnvW38+T0QUdHFQIqIiOguQggkJtsQHZfybxiVupJeUDYr6f2xNxq9u2xB1N9GAEBQsBKrvnkOPftknIqwaeUSfLNoLjatXOK9ntnmRLLFAbksAEE6BTRKOSqU1EOrkmc4noiKvsjIyCynKt2patWq+Prrr3Hs2DGfznv48GHExsZi4cKFOHPmDAAgKioKPXv2RM2aNSGXyzFx4kT8888/qFSpEkJDQxEaGoqIiIh051m/fj3atm2LoKAgAMD+/fuxbt06vPfee2jdujWmTp2KxMREdOnSBSaTCQCwZcsWtGnTBikpKZg8eTJ69+6NL774It15Bw8ejNWrVwMAunTpgtWrV2PcuHHp2ly9ehV6vd7nz9dff53ps2jbti3++ecfHDx4EDNmzMCFCxdQt25dLFmyJNtnqNfroVAo0m2bPXs23G43evfu7d3WrVs3TJ8+HR9++CGqVKmCqlWrwmQy4ffff4dWq/W7H3c/8zu99tpraNCgATZs2ICuXbuiZs2amfY9r55dXli/fj3UajU6d+7s3RYbG4sjR45g9+7dMJlMGDduHEaMGIEjR46gcePGOHLkiLetr78HIiq6OGWPiIjoDkII3LptRVKKHVa7C2abEwq5FHq1PNNRSkIIfLX6LOZMOwyPJ3XVo8pVgrFkZRuULa+/5/U8HoFkqxPOO+tFaRQoGcJ6UUQPsjJlymD//v3weDz3nK62bNkytGnTBqtWrUK9evWybTts2DBIpVIMHToUhw8fRsWKFdGlSxdUqlQJy5cvh1KphMfjyfYcTqcTmzZtwuLFi9Ntl0gk2LdvH+rUqQMAKFWqFPr27Yu//voL1apVw6BBg9CiRQv8+uuv3iChdevW6WopNW3aFE2bNsWAAQNQu3Zt9O/fP8P1S5UqhX379mXbxzs9/vjjmW6XyWQoV64cypUrh6eeegpDhw5F165d8fbbb6NVq1Z44gnfVjvduXMnZs2ahYkTJ2YIEQcOHIj169d7w782bdqgbNmyfvcjq2eepnv37mjevDk2btyIdevWIT4+Htu2bcvw91JePbvc8ng8+P7779GpU6d04dzJkychhEDnzp2xefNmb/+HDh2K6tWrY8SIEThw4ECm58zu90BERRMDKSIion+5PR7ExJthtjqRYnXC7nRDrZRBo8x8JT2Hw40PJx7AD9/9V8uidZvymLuoBbQ6RYb2mTGaHan1orQKKGVShAWrEaxjvSiiB92gQYOwePFi9OvXD8OGDbvnimHVqlVD8+bNsXTpUrzyyivZtu3ZsyeGDh2KhIQE9O/fH/Hx8Thy5AiUynsvqgAAO3bsgMViSTeyBQAaNWrkDaMAeGsbWSwWbNu2DfHx8Zg9e3a6US2VK1f26Zp3UiqVaNq0qd/H3YtarcaaNWtQtmxZfPfdd5gyZco9j7l48SJ69uyJ5s2bewuwp7l69SqaNGmCWrVqYfPmzdizZw/Gjh2LNm3aYPfu3dBoND73I6tnniZt6lq/fv0wceJEzJgxA9u3b0e7du3StcuvZ+evffv2ISYmJsN0vfj4eADAmDFj0v09V7p0aQwaNAgLFixAcnIy9Pr0X+hk93sgoqKLgRQREREAh9ON6HgzbHYXki0OON0COrUcKkXmf1UmxFsx4s3fcezILe+219+qhRFj6vk8ssnjASQSIEirgEImRZlQLTScokf0UChfvjwOHTqEMWPGoG3btt5pb/cyaNAgyOXybKcsFStWDDKZDMuWLUNMTAz27NnjV8H09evXo2PHjhlCgeyC8kuXLgFIDc5yy+Px+Pw8AECj0WSY2pWVkiVLIiQkBDdu3Lhn28TERHTq1AkGgwHfffddhnpbb7/9NvR6PTZv3gy5XI5KlSqhYcOGqFu3Lj777DO8++67Pvcjq2eemREjRmDGjBk4efJkhkAqP5+dP9avXw+dTpehBlRaSKdWqzMcU7FiRW8NrDufw71+D0RUdLGGFBERPfTMNieu3kqGxeaE0WyHy5NavDyrMOrC+UT07LLFG0YplVLM+7glRo2tf88wSggBkTqzDxIJEKhVQKuSo0JJA8MooofM448/ji1btsBoNP7734asP/369UODBg1w5syZe9bPiY+Ph8vlQmRkJJYvX+7zCnNA6upwP/30U4aRLfei0+kAALdu3Uq33e12+3UeAPjnn38QHBzs88efleBu3ryJuLi4dCvXZcblcuHFF19ETEwMNm/enOmqdrt27UKHDh3SrQJXvXp11KxZE3v27PG5H/4+c4vFAgAIDQ3NsC8/n52vXC4XNm7ciC5dumQIntKm2h09ejTDcVevXoVWq033rH35PRBR0cURUkRE9FC7nWxH7G0L7E43kq1OBEgkCNLJIc2ipsu2/13BhHf2wmpNXZkorLgGn618FjVq3fsl2eMR2PXzTzAmpE5ZMCbG49Te7ejZtxcCOEWPiLKwZcsWuFwu7Nu3z6dpd2fPngWQWkD8XtP77vbrr7/C7XajY8eOfh3XvHlzAMCnn36K+fPne7enFe4WaUm8D/KqDtKff/6JGjVqeH92u90YNWoUpFJpulDv2rVrKFeuXLpj3377bezatQvr169H7dq1Mz2/wWDA4cOHIYTwjh6Lj4/H33//jerVq/vcj+ye+f79+zNMwZs+fToUCgXat2+fof39riGV2bPbuXMn4uPjMw3YqlatiieffBLz5s3Dyy+/7B0JdevWLaxatQrdunWDTPbfP1F9+T0QUdHFQIqIiB5KQgjEJllxO/mO4uUyKXQaeabhkNvtweIFx7H8s1PebTVqheLTFc+ieAlthvZ3c7o82P3LT/hoxKD/zul0YkK/PgjRq9D2hRfy5L6I6MFy+fJl/PLLL/jyyy/vWfwcABISEjBgwAAAyFEtofXr16Nz585Z1j/KSs2aNdG7d28sWLAA165dQ5MmTfDHH39gw4YNAACbzebzufKiDtKNGzfw1FNPoW7duujevTvMZjN++uknHD16FB999JE3iJk1axYmTJiAb7/91htSff755/j8889Rp04dJCcnY+XKld7zSqVS9O/fHxKJBBMmTMCwYcPQqlUrPP/887Db7Vi1ahWsVitGjhzpcz8mTZqU6TM/dOgQmjVrhrZt26Jjx45ITk7Gzz//jEOHDuGjjz7KdJTX/awhldmzA1L/DAUGBmaYTphmyZIlaN++PRo0aIABAwbA6XRi+fLlUCgUmD17tredr78HIiq6GEgREdFDx+32ICYhtXi52eaCzeGCWiGDRpVavHzTis+waeV/y3ELD2BMssPucCNt7SS1SgbFTQVGd55wz+sJkfoxJcZnsk9gWM+eKFa8eF7dHgBg0OjRGDx6dJ6ek4juv4oVK2LJkiU+hVFutxu9evWC0WgEkFpLyh9msxm//PJLjqdxrVmzBmXKlMHXX3+NzZs3o06dOtiwYQPGjBmTYeW5/FaqVCn88MMPmD17Nj744AO43W7UrVsXP//8Mzp16uRtV7x4cej1eu+zOnXqFN5++20AwIkTJ/Daa6+lO2/79u29gd9bb72FcuXKYc6cOfjwww+hUqnQoEEDbNq0CbVq1fKpH9k986eeegpr1qzBp59+ivfeew9SqRR16tTB5s2b0aVLl3x5bv64+9kBqVM+N2/ejK5du2ZZm6pFixbYs2cPJk+ejDlz5sDlcqFNmzaYP3++t9aZP78HIiq6JMKf8bOUIyaTCYGBgTAajTAYDAXdHSKih5rd6UZMXApsDjeSrQ44XQI6tSxdvaivP5qNbxbNLcBe5t6IyZMx0ocVpKjo4vsF3W3kyJFYtWoVvvnmG3Tp0gVr167Fq6++WtDdIiIiyhRHSBER0UMjxerE9QQzHE43TBYHhEgtKi6XpR95oNHpUaxkKdhtbhiNdm8R8gAJEBisgkLh25ogaSOjAiQAJIAxIR4upzNDO7lcnucjpHQMKIgeKl9++SU++eQTbN68GU2aNAEAbN26lYEUEREVWgykiIjogSeESC1enmSFI614eYAEgdrMi5e/MGgoYpIbY8nHJ7zbqj4Zgk+XP4sy5e69JHfaNSQSwKBRQC6TolSIBgd3/Io3u3VLV9xXIpHg0++/R9tCMP2CiIqmI0eO4I033sD06dPx/PPPQwiB0qVLY/369Xj88ccxZswYb/FoIiKiwsK3r3iJiIiKKI8QuJloQWySFRa7CyaLA3JZAIK0ikzDqJRkB4a9tjNdGNWh86NYt+n5e4ZRQghYbE6YLE7IpQEI0imhUcpQoYQeBq0CbV94AUs3bfIuES6Xy7H0xx8ZRhFRjt26dQvdunVDp06dMH78eACpQffkyZMhkUgQFRUFtVpdwL0kIiLKiDWk7gPWeCAiKhhOlwfX482w2J1IsTphd7qhVsqgUcoyXZnnSmQShr22E39HphYEDgiQ4J1xDTDg9er3XMnH4xFIsTrhcLmhUcqgVsqg1yhQqpgmQ/DVuGxZ3IyJQckyZRARHZ13N0wPFb5fEAA4HA5YLBbodDrIZOknPyQmJiI4OJgrkRERUaHEKXtERPRAstpdiIk3w+50I9nigNsjoNcooJRLM22/+/d/MHZEOFKSU2s8BQYqsODTVmjS/N4rQ7ncHm9NKoNGAYVcirAgNUL0Sv5DkIjylUKhyHI1s5CQkPvcGyIiIt8xkCIiogeO0WzHzUQLHE4Pki0OQJJavFwmzThFz+MRWPbpSXyy8Li3ePnjVYPxyfJnUf6R7EedCCFgd7phtroglUqg1yqgkAWgdKgWWpU8P26NiIiIiOiBwECKiIgeGEIIxCZZcTvZDpvDhRRrai0nvUaBgICMI5XMKQ6Mf2cfdmyL8m5r16ECZsxvDq02+0BJCOGdBqhSyKBVyaBRylE6VJth1T4iIiIiIkovTwKpmJgYRERE4OrVq3A6nShWrBiqV6+Op556CgGZFIwlIiLKay63B9cTzDBbnTDbXLA5XN6gKLNpc39fTsLw1/+rFyWRACPfrY/Xhta85zQ7t9uDZKsTLreATi2HSiFDsE6J4sFqTtEjIiIiIvJBrgKpbdu2YcaMGThw4ADuro0ukUhQrFgxDB06FGPHjoVGo8lVR4mIiLJic7gRE58CuyO1XpTzjqAoM9t/vYLxY/bBYk6tF6U3KDDv45Zo0brcPa9ld7qRYnUiQAIE6RSQy6QoFaKBQZt5DRciIiIiIsooR4GUzWbD8OHDcfr0aXTq1Aljx45F2bJlvat7WK1WxMbG4vz589i5cyfq1q2LjRs3onr16nndfyIiesiZLA7cSLDA6XLDZHYASK0Xldm0OZfLg4/mHsUXy/70bnu8ajAWL3sWj1S4d70oi90Fq90FhVzqDbzKFNNCqci8UHpWBo0ejRSTCTqujEZEREREDymJuHto0z2YzWb07dsXb7/9Nlq1auXTMZGRkXj77bcxe/Zs1KhRI0cdLcq4LDMRUd4TQiDOaEOiyZY6MsrqhEwqgV6jgDSTelEJ8Va8M2w3DkXc8G7r1KUSps5uAo0m+3pRHo/4d+SVB1qVHGqlDHqNAiVDNJlei+h+4PsF5dTRo0cxbNgwXL58GVWrVsXnn3/+UL6jExFRwfK7wNOCBQuwbNkyn8MoAKhUqRI2b96ML774AiaTyd9LEhERpeN2exAdl4IEoxVmqxPJVgeU8gAEajMPo06diEWPTj95wyiZTIL3pzTC3I9b3DOMcrjcSEqxw+0RCNQqoVHKUDxYjdLFGEYRUdETHx+P7t27Y+HChYiLi8MLL7yArl27FnS3iIjoIeRXIGU2mzFo0CAUL17c7wvJ5XLMmTMHCQkJfh135MgRdOjQAcHBwdBqtWjYsCHWrVvn8/GxsbGYNWsWevTogYoVK0IikWRbcDYpKQlvv/02GjdujJIlS0KpVKJMmTJo3bo1fvjhhwy1soiI6P6yOVyIupWMZIsTJosDVocbWpUcOrU8w3/fhRD47pu/8ErP/+HmDTMA4P/t3Xd4VFX+BvB35rbpqfQOgiAiTVRQQNQfqGvBLioKgqAirKCrgmJAQFTsuiorCipr2xVd3VUXXaQKVkSKIiJIJwTSp9x2fn9MMjKkQ5JJwvt5Hp5Hzr1zzzmGJJM353xPeiM3Frx9IW4Y2bXc7wfFW/TyCg1IkgPJPg1uTUbrJn6k+l0sXk5E9dKPP/6IG264Af369YPD4cDYsWOxdetWZGZmJmxMhmFg/fr1Fd9YQ8/JycnBqlWrjrn/+mTnzp2JHgIRUdUCKa/XixYtWhx1Z6qqol27dpW+f+nSpTjrrLOwYsUKXHnllbjtttuQlZWF66+/Hg8//HClnrFp0yZMmTIFixYtgqqqFRZXz8rKwquvvgqv14uhQ4firrvuwgUXXICNGzfiyiuvxNixYys9fiIiql55hTp+31+AUMRETmEEliWQ5I1uoTsyIAqHTdz/lxWYNmUVDN0GAPQ+rQne+89Q9O7TtNx+olv0DATDBtyahIBHhd+joG1TP9xatRxQS0SUEOeccw5mzZoV+/uKFSvQrFkzpKWlJWxMF198McaPH19rzzn77LPjvmf07t0b999/f5nX65otW7bgsssuQ3p6OtLT03HbbbehoKCgUq/duHEjrrjiCgwcOLDc+5566qnYL/KL/wwfPjzunu+++w7nnXce3G43UlNTcd1112H37t1HPS8iOv5Uy7vqzMxMrFmzBjk5OaVev/HGG6v8TNM0MXr0aDgcDixfvhw9e/YEAGRkZKBv377IyMjAVVddhY4dO5b7nC5dumDZsmXo2bMn/H4/OnfujM2bN5d5f7t27ZCTkwNZjv9fk5+fjzPOOAMvv/wy/vznP6Nr165VnhMRER0dIQQO5IRwKD+CsG6iIGRG60WVsUVv1458TLj1f/hp4x+rcm8c1RV3Tz4NilL+72IM00Z+SIcQQMCjQlUkpCe5kBbgqigialgyMzNx++2345lnnoEkVe1whuoUDodr9Tnt2rVDVlZW7O+WZZV7HQC+/PJLnHTSSUhOTj7mcR6LX3/9FWeccQbS0tJw7733IicnB88++yw2btyIJUuWlPgZ5nC33XYb/va3v0GWZTRr1qzM+wzDwJNPPonevXvj1ltvjbWfe+65sf/+8ccf0b9/f3Tp0gUzZ87E/v378eKLL2L16tX44YcfkJSUVD0TJqIG7ZgDqf/+97+46qqrUFhYWOp2NofDcVSB1JIlS7B161aMHDkyFkYBgN/vx9SpU3Httddi/vz5Fa6UatKkCZo0aVLpfsv6Zuz3+zFkyBBs2rQJv/76KwMpIqJaYlo29mQVojBsoDBsIqyb0FQZPlfJVVEAsHLZLtw9/gvk5kZP3HO7Zcx47Cz86ZIO5fYjhEBYt1AY/iPsUmUnmqd54XWXX2eKiOhofP/99xg/fjy++eYbGIaBN954AzfccEOt9B2JRDB06FBcfvnluOqqq2qlz7pi/vz5Vbq+YcMGnH/++fjxxx8THkiNHz8emqZhzZo1SE1NBQAMGDAA559/Pl555ZVyd3McPHgQn3zyCd58800sXbq0zPveeOMN7Nq1CwsXLixzJdXIkSPRrVs3rFy5EooS/R55wQUX4JxzzsG8efNw1113Hf0kiei4ccyB1KRJk9CqVSv89a9/Rdu2bavtt8fFXyQHDx5c4lpx27Jly6qlr8oIh8NYsmQJHA4HTjrppFrrl4joeBaKmNidVQjdsJAX1GFaAj63Ak2RSny/sW2Buc//gOee/B7Fvx9p0y6AZ+eei04nppbbjy0ECkIGdMOCW5XhccnwuBQ0T/NCkat8/gcRUYX27duHc845B6NHj8YLL7wATdPQvHnzWut/1KhRSEpKwpw5c2qtz/rq22+/RX5+fqKHgZ07d+LTTz/F1KlTY2EUAAwZMgS9evXC3Llzyw2k3n33XQAotx6vbdt47LHHcMopp+C0004rcxzr1q3DP//5z1gYBQCDBg1CcnIyfvnll6pOjYiOU8f8Lnvbtm0YM2YMzj77bLRt2xZt2rQp8edobNmyBQBK3ZKXkpKC9PT02D01IScnB9OmTcODDz6IW2+9FZ06dcK6devw4IMPVrhNkIiIjo0QAtn5EezIzI/WiyqIwLYFkrwqXGrJlVE5ORGMG/0Znn3ijzDq3MGt8Y8PL60wjDItG7kFOgzTht+jwutWkJbkRuvGPoZRRFRj5s+fj5YtW+Lxxx9H9+7d0blzZwQCgRL3/fzzz1i0aFGln/v111+jbdu2JVaofPHFF+jZsyc++ugjPPzww/juu+/w9ttvl7tVb+rUqbjmmmswffp0tGnTBpqm4ZRTTsG//vWvuPsefPBB/OlPf8KCBQvQrl07eL1efPzxxwCAhQsXokePHnC5XEhPT8dVV12Fn3/+uURfkUgEGRkZOOGEE+B2u9GnTx988skncfccPHgQo0aNQtOmTeHz+dC3b1988cUXVX7ORx99VOovvUu7/uijj2LkyJEAEDsg6YcffsBPP/0Ep9OJBx98sMQYFUXBuHHj4tqFECgoKKj0H9M0S4xrzZo1AIBLLrmkxLUrr7wSa9euPeYTzT/99FNs3rwZP/74I1JSUnDBBReUKBTfqlUrZGdn48ILL4xrLywsRDgcLnc7IBHR4Y75nXbPnj3LXfJ5tHJzcwGgzP3HgUAgdk9NyMnJwfTp0zFjxgzMnTsX+/btw5w5c5CRkVHhayORCPLy8uL+EBFR5di2wL5DQezPDiIYNpFbGIHkjJ5yV1pAtOHHA7jiTx9g6f+iJwY5HMCdf+mNZ+eeB39ALbOf6BY9E7kFOhwOINmnwq3JaJHuReNkN+tFEVGN2rp1Kzp37lzhfZ07d8bChQvx3XffVeq5X3/9NTIzM/Hkk09iw4YNAIDt27fj6quvximnnAJFUfDAAw9gx44d6NChQ6ww9urVq0s8a8WKFXj33Xfx9NNPY/jw4Zg6dSqCwSAuu+wyfP7557H7li9fjmXLluHmm29G//79MXXqVLhcLjzxxBMYPnw4UlJSMHPmTNxyyy1YtmwZ+vTpg3Xr1sX1tWbNGsybNw8jRozA/fffj9zcXFx00UWxYAsALr30Urz99tu48cYbMXPmTBQWFuLiiy+OK6Rdmee89957+Oyzz8r8f3j49TZt2mDUqFEAgDlz5mD+/Plo3bo1unTpgiFDhmDu3LmIRCJxrzVNE9dff33cM3///Xf4/f5K/1m4cGGJce3atQsA0Lp16xLX2rZtCwD47bffypxXZQwePBg7duzAmjVrMGvWLGzevBm9evXCCy+8EHef3++HqsZ/j33kkUdgWRauvfbaYxoDER0/jnnL3pw5c3Duuefi/vvvx5gxY0p9A1/aF826rm3bthBCwLIs7Ny5E2+//Tbuv/9+fPnll3j33XfLLRg4e/ZsTJ8+vRZHS0TUMOimhd0HCosKlxuIHLaF7sjvL0IIvL3wZ8x+aE3sFL3kFA2PP3s2zhzQstx+bCFQWPR8lyrD65JjYZQiJ66wLxEdP1q0aIGVK1fCtm04neX/jnju3Ln4v//7P7zyyivo3bt3uffecccdkCQJt99+O77++mu0a9cOl156KTp06IC//e1v0DQNtm1XepyyLGPJkiWxmq633347TjrpJEyZMgXnnXde7L7CwkJMmDABzzzzDABg9+7duOCCC3DNNdfgrbfein0N//Of/4yTTz4Zd955Z9zqJo/Hgy+//DK2u2LChAno2rUr7r33Xlx44YXIy8vDzp07MW/ePAwbNgwAcN5556Fbt25YvXo1rrzyyko9p6quvfZahMNhvPLKK7jyyitjwQ8ATJw4EUOGDMHbb7+Nm266CUB0W1z79u3Rr1+/uOc0a9YMK1asqHS/nTp1KtEWCoUARHeLHCk9PR0AKn3aXllkWUarVq3QqlUrnH766bj99ttx2WWXYcKECRg0aBC6dOlS6us+//xzzJ49Gw888EClglYiIqAaAqlwOAyn04lHHnkEjzzySKn3HHlyRWUUr4wqaxVUXl5erZzeIEkS2rZti/vuuw+SJOGee+7Byy+/jNtuu63M10yePBmTJk2KG2urVq1qfKxERPVZQcjAnoOFMAwLeUEDthDwu1VoasmAqLDQQMZ9K/GfD//4TXCPXo3x5F8HoVlzX7n9mJaN/OLne1RoioQUv4ZGyW44uSqKiGrJqFGj8Oyzz+Kmm27CHXfcUeH72q5du2LAgAF46aWXMHz48HLvvfrqq3H77bfj4MGDGDFiBLKysvDNN99A07Qqj/OMM86IO2AoNTUVN998M2bPno2CggL4fNGvubIsx21f++STT6DrOqZOnRr3C4WmTZti9OjRePzxxxEKheB2uwEAffr0iSv1EQgEMGLECMycORM5OTlITk7Gli1boCgKtmzZgo8++gj/+9//AMSHMJV5TnUZPHgwunbtimeeeQY33XQTDhw4gKVLl2LKlCkl7tU0DWedddYx9de4cWMA0Z+PigOoYsVhld/vP6Y+juR2u7FgwQK0bNkS77zzDqZNm1binl9++QVXX301BgwYgKlTp1Zr/0TUsFVLUXNZljFlyhS0b9++wt/wVFZxnaYtW7aU+E1QdnY2srKySvzmoaYNHjwY99xzD5YuXVpuIKVp2lF9wyciOh4JIZCVG8bBvDAihoWCkAGnw4EkrwpZKvk95ddfsnHnbUuw9decWNuNo7rirvv6QC0lvDq8n4hhoTBkwul0INmrQlEkNE31IOApe2sfEVFNaN26Nb766ivcfffdGDx4cKVLPIwaNQqKopS7LSotLQ2yLGPu3LnYvXs3li1bdtQF00urMdWyZXQV6uGBVO/evZGWlha7JzMzE0C07tKRWrduDcuykJOTEwukSlNciygcDgMA9uzZg9tvvx2ffPIJ2rRpU+mDho58TnX685//jDFjxmDlypXYsGEDLMsq9aRE27arVMbD4/GU2BJX/P9927ZtJQKpX3/9Ne6e6tS0aVOkpqZi7969Ja4dOnQIF110EQKBAN55551ya5IRER3pmAOpn3/+GRkZGZg8eXJ1jCdm4MCBmD17NhYvXlziG+7ixYtj99SmPXv2AEC52/WIiKjyTMvG3oOFKAgZCEZMhCImVEWCz62Uulrpw0W/YtqUVQiFosVefX4Fsx7rj8EXlvyB53BlbdFrnuaFqvDNMxElRqdOnfDhhx9W6t4RI0Zg06ZNWLhwYanbuQ6XlZUF0zSxdetWvP7662Welna0tmzZguTk5NiKHQBwuVxx9xSHQFu3bkW3bt3irm3YsAF+vx+NGjUqt5+NGzfG+snPz8eAAQOQnJyMZcuWYcCAAdi+fXupgVd5z6luw4cPx5QpU/DMM8/g4MGD6NOnT6kfnx07dlRqrMXmz5+PESNGxLWdddZZcLlc+PTTT9GnT5+4a4sXL8aJJ54YFwpWl3379uHAgQNo0aJFXLtpmrjqqquwe/durFq1qsKPJxHRkY45WWnatCmys7OrYyxxzj33XLRv3x5vvvkmJkyYgB49egAA8vPzMWPGDMiyHPdFOisrC1lZWbHCjEfrhx9+QLt27Uosmz506FBs+e0FF1xw1M8nIqKoUMTE7qxC6IaF/JAOwxTwuBS4ValEvahI2MTsh77CO3//42SmE7uk4ukXz0HbduVvc4nbole0BTDFp6FRCrfoEVH98OGHH8I0TaxYsaJSq/A3btwIABg9enSF2/sqsmfPHui6Hluts2PHDrz66qu44YYbyt0Zcf7550PTNEyfPh3vvvtu7N7NmzdjwYIFuO2228r9Je+6devw6quvYtSoUXA6nfjss8+wc+dOvPfee7Ew5sjT8yrznKNR/D2peFvc4VwuF2699VY88sgjsG0bTz31VKnPqI4aUj6fD3/6058wd+5cjBs3Dqmp0VNkly5disWLF+PRRx+N3btz586jKhmyfv36uADRsixMnDgRkiSVWCQwYcIELFmyBG+//XbsZzUioqo45kBqzJgxePTRR3HTTTeha9eu1TEmANFVSPPmzcOQIUPQv39/DBs2DIFAAIsWLcK2bdswc+bMuC/Uzz//PKZPn46MjIwSe5sPD66Kl5oe3vb444/HQqwFCxZg3rx5GDRoENq0aQOv14vff/8d//nPf1BQUIArrrgC1113XbXNk4joeCOEQE6BjsycIHTDRn5QBwAkeZVSC4rv3JGHO29bgk0bDsbarrimEx54qC9crrK/jR2+RU+SHEj2cIseEdU/v/76K/7973/j9ddfr1SgcvDgQYwcORIAjrlmERBdDdWvXz8MHz4c+/btwyuvvIKmTZti1qxZ5b6uWbNmePjhh3HXXXdhwIABGDp0KA4cOICXX34ZjRo1iquz5HQ6sXz5ctx0003o1asXNm/ejPnz5+OEE07Aww8/DACx2k9PPPEEzjzzTPz3v//Ff/7zHwCIFWmvzHOORnEh8wceeAB9+vSB0+nEPffcE7s+btw4PPbYYwBQ5lbK6qghBQAzZsxAnz590LdvX9xyyy3IysrCc889h1NPPRXjx48HED1gacqUKXjrrbeqdOLd3r17cfrpp6NXr1644oorUFhYiH/961/49ttv8dRTT8X97PXiiy/ixRdfRM+ePZGfn4958+bFrkmShBEjRvC0WiKq0DEHUps2bUIoFEKfPn1w+umnl/jC43A4YgUHq2rQoEFYuXIlMjIy8O6770LXdXTt2hUzZswocZRqeV577bVy26ZNmxYLpK688krk5uZizZo1WL58OYLBIFJTU3HWWWfhxhtvxLXXXssvrkRER8myBfYfCiIvqCMUMVEYNqBITvg9KpzOkl9bl3z2O+6btBz5edHQStMkPDizHy6/uvztKtyiR0QNRbt27fDCCy9UKoyyLAvXXHNN7FCg6ti+1blzZ7Rp0wYZGRmQJAlDhw7FI488Uqni4JMmTUKzZs0wZ84cPPDAA/D7/bj00ksxa9asuLG9/PLLyMjIwKeffoq33noLzZs3xx133IGpU6ciEAgAiP5ccNttt+Hvf/87vvjiC/Tu3RsffvghLrnkklhZjco852gMHDgQo0ePxltvvYXVq1dj7ty5cdebNm2KDh06oG3btjWyLfBwXbp0wfLly3Hfffdh+vTpSEpKwk033YTZs2fHtk02btwYfr+/yh//Zs2a4b333sMjjzyCBx98EJZloVevXvjoo49w0UUXxe5bt24dJkyYAABYu3YtbrnllrjnnH/++bFQlIioPA4hhDiWBzz44IMVLj89/EjX41HxiYC5ubnH9M2QiKg+i+gWdh8sRFg3URAyoBsW3JoMjyaXCPpN08bTc77FKy+tj7W1aRfAMy+eixO7pJbbz+Fb9HxuhafoUYPF9xd0pDvvvBOvvPIK/v73v+PSSy/Fa6+9hhtvvPGon3f22WcDiG4Jo7Jt3LgRJ598Mt58800MGzYs0cMhIqo3jnmF1EMPPVQd4yAiogYstzCCfYdCMEwL+UEdtgD8HhVaKauV9u8rxF3jv8B3X++PtQ25sC1mPtYfPn/ZW+2EEAjrFgrDJmSp6BQ9WUKzVA/83KJHRA3c66+/jueeew4ffPABzjzzTADRGkvHEkhR5cyaNQuNGjXCFVdckeihEBHVKzwujoiIaoxtC2TmhJBTEClaGVVcz0mBJJXcfrJi6S7cO3EZsg9Fj+aWZQfueeB03DDipHK3S9u2iK66Mi24VRmeoi16LdK9pdalIiJqSL755huMHTsWM2fOxMUXXwwhBJo3b463334bnTp1wt133w2/35/oYTYozzzzDLZv346cnBy89dZbePbZZ2OF34mIqHKqdNREfn4+/vGPfxx1Z+vWrcPatWuP+vVERFR/6IaF3/fnIzs/jPygjoKQAZcqIdmrlgijDMPGk49+gzE3/TcWRjVt5sXr7/4Jw0d2LTeMMkwbOYURGJYNv0eF160gLeBCmyZ+hlFE1ODt378fl19+OS666CJMnjwZQLSGa0ZGBhwOB7Zv3w63231Uz/b7/bHVVhSvWbNmeO211/Dpp59i6tSpuOOOOxI9JCKieqfKNaRefPFFKIqC0aNHV6mjVatW4f3338fjjz9epdc1BKzxQETHm7ygjn2HgjAMC3lF9Zy8LhkuteTC3L17CnDXHV9g7XeZsbazz22Fh58YgJQUV5l9CCEQ0i0Ei7bo+T0qVNmJZmle+NxKjcyLqC7h+wsCAF3XEQwG4fP5IMvxX2MPHTqElJQUHshDRER10lEVNf/LX/6CXbt2YcaMGTjhhBPKvXfXrl144okn8Ntvv+Hdd9+FpmlHPdj6im8Yieh4YQuBA9khZBdEENEtFIQNOB0O+D0K5FK26H3x+Q5Mvms5cnMiAKJb9O66rw9uGn1yhVv08kMGDPOPwugel4LmaV4ocpUW/xLVW3x/QURERPVZlWpIWZaFSCSCOXPmYO7cuejVqxdatmyJ7t27o0WLFvB6vQCAwsJC7NmzB+vXr8fWrVsxY8YMPPXUUzUyASIiqht008KerEKEIiYKwybCuglNkeBzKyXCJV238NSj32LBvA2xtuYtfXjy+UHo3rP8I7N1w0JByAAABLwqVFlCWsCF9CQXVwEQEREREdUTVVohNXHiRCxatAirVq1Cy5YtceDAAbz44ov417/+hfXr18M0TQCAJEk4+eSTcckll2Ds2LFo3rx5jU2gPuBvMImooSuxRc8W8LplaIpUIiTatSMfd43/Aj/+cCDWdt6QNpg5pz+SkspeRSuEQDBiIhQxocgS/G4FqiKheZoHHhe36NHxh+8viIiIqD6rUiCVmpqKfv364d///neJa6Zp4uDBgxBCIC0tDYrCHw6K8Q0jETVUVd2i99mn23H/X1YgP08HACiqE/fefzquu6lLuaubLNtGftCAadnwuhS4VAk+t4pmaZ5S+yE6HvD9BREREdVnVdqy5/V60a1bt7i2s846Cw899BDOOeccNGnSpFoHR0REdZduWNhzsOQWPa9bgfPILXoRC3Me/hoLF2yKtbVu48eTfz0HXbull9tPcdDlcABJXg2q4kSjJDdS/Bq36BERERER1VNV+rXyuHHj8Nxzz+Hll19GMBgEAHz55ZfYsGFDBa8kIqKGJK9Qx/Z9+SgMGcgp0BHRLfjcCnylhFE7fs/DdVf8Oy6MOv+idvjnv4eWG0YJES1cnh/SocpOJPs0eFwyWjf2IzXAelFERERERPVZlVZI3XvvvcjPz8cdd9yB8ePHo1evXnA4HNi8eTOysrKQnl7+b7mJiKh+s22B/dlB5BbqCOsWCkMGnE4HknxqqVvnPvn3b3jwvpUoyI8WIVc1CVMyzsDV151YbqBkWtEterYt4HMrcKkyAl4VTVI8kJwMooiIiIiI6rsq1ZAqtmfPHixcuBCLFy/GkiVLYj9UdO7cGQMHDsSAAQMwYMCA476YeTHWeCCihiCiW9h9sBAR3URByEDEsMo8RS8YNPDwtDV4751fYm1t2yfhqb8OQueT0srsQwgRDbrCJmTJAb9bgSJLaJLqRpK37ILnRMcjvr8gIiKi+uyoAqnDOZ1OjBs3Du3atcPy5cuxcuVKHDp0CA6HA+3bt8fAgQMxb9686hpvvcQ3jERUnwkhkFuoY392EIZZtHJJCHhdMlxqyYW2P208iLvGf4FtW3NjbRdf1gEZs86E11v2gRe2LVAQMqCbFtyqDI9LhluT0TzNC1WRamRuRPUZ318QERFRfValLXulmThxIgYOHIhLLrkEkyZNAgCsX78ey5cvx9KlS/Gf//znmAdJRESJYdk29h0KIT+oFxUvNyBJTiR5Sm7RE0Jg4YJNmPPw1zB0GwDg8ciYOrMfLr38hHK36OmmhYKgAQEg4FGhKhJS/RoaJbtZK4qIiIiIqAE65hVSVDH+BpOI6qNQxMSeg4WIGFZ05ZJhwaXK8LrkEiFR9qEwpty9HEv/tzPWdtLJaXj8uUFo1z6pzD6EEAhGTIQiJhRZKtqi50SzNC987rJXUxER318QERFR/XbMK6SIiKhhEULgUF4EWbkh6KaN/JAOIQC/R4VWyta5Nav24J47l+FAZjDWNvKWk3HnX06FqpW91c6ybOSHDJiWDa9LgUuV4HOraJbmKbVAOhERERERNRwMpIiIKMYwbew9VIjCkIFQxEIwYkCRnPB5FUjO+JDIMGw8/9T3ePmFdShea5uW7sLsJwai/9kty+xDCIGIES1c7nQ4kOzToMhONEpyI8WvcYseEREREdFxgIEUEREBAApCBvYeLIRu2igI6TBMAbcmw6OV3KK3a0c+7p7wBdatPRBr69e/OR55ciAaNfaU2YdtCxSEo9v/ik/o01QZzdM8pRZIJyIiIiKihonv/omIjnO2LXAgJ4TsgkisXpTDASR5FShyyS13H3/0GzImr0RBvgEAkGUH7vzLqRg5phuczrJXNxmmhfyQEbf9L9mnoXGyu9zXERERERFRw8NAiojoOBbRLew5WIiwbqIwbCKsm1AVCT6XUiIkCgYNzMpYg0Xv/hJra93Gj8efG4Ru3RuV2ccfhcstKJIDPq8KVXaiaaoHfo9aY3MjIiIiIqK6i4EUEdFxSAiBnAIdmTlBGKaN/KAB2xax4uJHbtHbuD4Lf/nzUmzbmhtru/iyDsiY2Q9eX9mh0uGFyz0uBW5VgteloFmaF4rMwuVERERERMcrBlJERMcZ07Kx71AQBSEDoYiJwrAByelEkk8tcbqdZdl49W/r8dwT38MwbACAx6vgwZl9cenlHcvsI75wOZDk1aDKTqQnu5HKwuVERERERMc9BlJERMeRgpCBfYeC0ItqRemmBZcqw+sqWbh8754C3DtxGb5Zsy/WdvIp6Zjz7Nlo2y6pzD5KLVyuSGiW5oVb47cdIiIiIiJiIEVEdFywRVHh8vxILIwCgIBHhaqUXrh8+pRVyMvTAQAOBzDm9u4YN7EXFKXsrXa6aaEgaEDgj8LlSV4VTVI8LFxOREREREQxDKSIiBq4sG5h75GFy+XoyqUjQ6KCfB0zM1bjX+/9Gmtr1tyLR54aiNPOaFZmH0IIBMMmQroJRXbC52bhciIiIiIiKhsDKSKiBkoIgeyCCA7khCpVuHztt/txz53LsGtnfqztwkvaI2NmPwSStDL7MYsKl1uWHXu2162gWSoLlxMRERERUekYSBERNUCGaWPfoUIUhAyEdStauFwqvXC5adp46bkf8OKzP8C2BQDA61Pw4Ix+uPiyDmUWIBdCIKxbCIZNOJ0OJPs0KLITjZLcSGHhciIiIiIiKgcDKSKiBiY/qEcLl5s2CkI6DNOGW5XhKaVw+Y7f83DPn5di3doDsbZepzbBo08NRMvW/jL7sG2B/JAB47Ci6C5VRrM0L1xqyZpUREREREREh2MgRUTUQFi2QGZ2ELmFOiJFhcsdAAJeFaocHxIJIfDBP7dgZsYaBAujBc4lyYHb/9wTY8Z1h1zOVru4ZxcVRU/xa2iU7IaTq6KIiIiIiKgSGEgRETUAwbCBvYeCiBgWCkMGIoYFVZHgc5UsXJ6TE8G0ySvx34+3x9pat/HjsWfORveejcvswxaixLNVRUKzVA+8bqWGZkZERERERA0RAykionrMFgJZuWEcygtHC5eHdAgB+NwqNMVZYovequW7MOXuFcjcH4y1XX51J0zJOB1eX9mn4cU/W4FLleH3KGiS4ilRk4qIiIiIiKgiDKSIiOqpiG5hz8FChHUTwYiJUMSEIjnh8yqQnPEhUTBo4InZ3+DN13+KtSUlqXjokbMw+MJ2ZfYhhCh6tgVZcsDvVaDIEpqkuBHwqCxcTkRERERER4WBFBFRPSOEQHZ+BAdyQ9GVS0EDli3gcSlwq1KJkGjd2kzcO3EZft+WF2vr1785Zs0ZgKbNvGX2Y1o2CkIGTMuOPdvjUtAszVOiJhUREREREVFVMJAiIqpHDNPCnoNBBMMGwrqFwrAByelEsk8tsXXOMGy8+Oxa/O2v62BZAgDgckm4e8ppGDa8S4naUsWEEAjrFoJhE06nA8k+DYrsRHqSG6l+jauiiIiIiIjomDGQIiKqB4QQyC3UkZkdgmFZKAgaMCwBtybDo8klQqJff8nGvROXYdOGg7G2U3o0wiNPDkC7Dsll9mPZAgUhA4Zpwa3K8LhkuFQZzdI8cKn8lkFERERERNWDP10QEdVxpmVj36EgCkIGwrqJwrAJhwNIKqrndDjbFnhj/kY8+ei30CMWAECWHbhtQk+MGdcdslx6AXIhBCKGjcKwAQeAgFeFKktI9WtIT3bDyVVRRERERERUjRhIERHVYXlBHfsPBWGY0XpOumlBU2V4XXKJkGjP7gLcf/dyrPlyb6ytfYckPPr0QJx8SqMy+7BtgYKwAd2woCkSvG4FmiyhaZoHXpdSY3MjIiIiIqLjFwMpIqI6ZN6TT6IgLw8enx8XjbgVeUEdEcNCQaho5ZJHharEr4oSQuDD93/FzAdXoyDfiLUPv7krJt17Klyusr/U60XPFgD8HhWaIiHgVdEkxV3ipD4iIiIiIqLqwkCKiKgOeeXJJ7Fv926kN22Os64cicKwgYhhQVUk+FxKiULk2YfCyJi8Cp99uj3W1rSZFw8/PgB9z2peZj+2EAiGTYR1E6oswedWoMhONEn1IOBRa2p6REREREREABhIERHVGZZtw7Kjp+EJIZBTEImuXHKrUBVnicLlS/+3A1PvXYmsA6FY2yWXn4D7p52BQJJWZj/F2/9sIeBzK3CpMnxuBU1SPFDKqDFFRERERERUnRhIERHVAYUhA/sOBWGLaCBlCwFZcsLnLrkqqrDQwKMzvsI/3toca0tO0TD94TMx+MJ2ZfYhhEAwYiIUsSBLDiR7VSiShMYpbiR51RKBFxERERERUU1hIEVElECWLXAgJ4Scggh004JtR9udDgf8HqVESPT1mr24/+4V2LUzP9Y28JxWmPHoWWjU2FNmP6ZlIz9owLJteF0KXKoEj0tBszQP1CNO6iMiIiIiIqppDKSIiBKkMBxdFaUbFgqL6jnF8icH4sKoYNDA0499izfmb4q1eTwy7n3wdFx17Yllrm4SQiAUMREsXhXl06DITjRKciPFr3FVFBERERERJQQDKSKiWmbbAplFq6IM00J+yIAQgNeloLR86Ltv9mHKXcux4/c/VkX17tMEDz8xAK3bBMrsx7SitaJMy4Zbk+HRZLg1Gc1SvdBUrooiIiIiIqLEYSBFRFSLSlsVpUhO+DwKvvr8E+QczAIA5BzMwrJ/f4jV3zfG669uRFFpKbhcEu6851QMH9m1RG2pYkIIhHULwbAJp9OBJK8GVXYiLcmFtICLq6KIiIiIiCjhGEgREdWCw2tFHbkqyqVKWL34Y8wYM/yP+w0Dj4wbiUzcCIGTAQA9ezfGrMcHoF37pLL7sWzkF6+KUmV4XDI0VUazVA/cGr/kExERERFR3cCfToiIqmDek0/ilSefrNJrhIgGUgICQkRXMDkcjrjtecUro454JRphIWz44POrcO6WMXVY+f0IAcABFC+ecjockI5YSTVq0iSMnjSpSnMgIiIiIiKqTgykiIiqoCAvD/t27661/hywICEXoXwglF/x/ZVRkJdXPQ8iIiIiIiI6SnU+kPrmm2+QkZGB1atXQ9d1dO3aFXfeeSeuu+66Sr0+MzMTr7zyCr777jt899132L59O4DoCoXS7N69G//4xz/w8ccf4+eff8a+ffuQmpqKM888E/fccw9OP/306poaEdVDvkAATVu0qPA+W0SLl5e3KipGAIcOHICwzRKXZEVBUlp62R2JaF8VrYo6cg5ERERERESJ5BBlJTN1wNKlSzFkyBCoqoprr70WSUlJWLRoEbZt24ZZs2ZhypQplXrGoEGD4HA40LFjR+zatQvBYLDMQOq+++7Do48+ig4dOmDgwIFo3LgxtmzZgg8++ABCCLz11lu4+uqrqzSPvLw8JCUlITc3FwH+IEjUoFmWjf05IeQV6tANCwUhAwKA1yVDU6QSBcU3/HgAk+9ajj2/rEQjvA4H/vja5HA4MPVvb6Dv4AtL9mMLFIQMGKYFTZHgdSvQZAlN0zzwupSaniYR1QF8f0FERET1WZ0NpEzTROfOnbFr1y6sXr0aPXv2BADk5+ejb9++2Lx5MzZt2oSOHTuW+5z9+/dj8+bN6NmzJ/x+Pzp37ozNmzeXGUgtWrQIjRo1Qv/+/ePaV6xYgXPPPRd+vx979uyBpmmVngvfMBIdH/KDOvZnh4pO0DMQMSwosgSfW4bkdMbdq0csvPDsWsx78UdYVvTrkV/aiHSxEMI2ISsKprwwv0QYJYRApOiEPgcAn1uBqkhI8qponOIpd2UUETUsfH9BRERE9Zmz4lsSY8mSJdi6dSuuu+66WBgFAH6/H1OnToVpmpg/f36Fz2nSpAkGDBgAv99fqX4vv/zyEmEUAPTv3x+DBg3CoUOHsH79+spPhIgaPNOysTurALuzClEYNpBTEIFu2vC5FQQ8SokwatOGLFx1yb8w9/l1sTDqpJPTsPDjB5DauBEAICktvUQYZdkC+UEDBSEDquxEsl+Dx6WgZSMfmqV5GUYREREREVG9UWdrSC1duhQAMHjw4BLXituWLVtWm0OCokS3wchynf3fRkS1SAiBvKCOzOwQDNNGQdiAblhQZQk+twLnEQFR8aqoV176EaYZDaJk2YHbJvTELbd3h6KU/juCI1dFBTzqYaui3CUCLyIiIiIiorquziYrW7ZsAYBSt+SlpKQgPT09dk9t2LFjBz7//HM0bdoU3bp1q7V+iahuMkwL+w6FUBg2ENajW/QAwO9WoSrOErWi1n63H1PvWYmtv+bE2jqflIqHHx+ALl3TyuzHsgUKQwb0w2pFqbKEpqke+NysFUVERERERPVTnQ2kcnNzAQBJSUmlXg8EAti1a1etjMUwDAwfPhyRSASPPfYYJEkq9/5IJIJIJBL7ex6PWCdqMIQQyC6IICsnDMOy4wuLu0quigoGDTw95zssnL8RxaXrFMWJMeO6Y8y47lDVsr+ehHWzxKqogFdFk2Q3JImrooiIiIiIqP6qs4FUXWHbNm6++WYsX74ct9xyC4YPH17ha2bPno3p06fXwuiIqDZFdAv7DgURjERXRQUjJhyOP8KiI61euQcP3rcSu3bmx9q6dU/HzMf6o1Pn1HL7EgIoCBmxoEtVJDRJccPvUat9XkRERERERLWtzgZSxSujildKHan4ZJmaJITALbfcgoULF+KGG27ASy+9VKnXTZ48GZMmTYr9PS8vD61ataqpYRJRDbOFwKG8MA7mhaO1okIGTMuGS5XhcclwHrE9Lz9Px2OzvsI/3/4l1qZpEibc1Rs3juoKWS67VtTFI29Fbk4uPF4/V0UREREREVGDVWcDqeLaUVu2bEHv3r3jrmVnZyMrKwv9+vWrsf5t28bo0aMxf/58DBs2DAsWLICzkoWDNU2Dpmk1NjYiqj2hiIm9h4KI6CZCERPBiAnJ6USSV4NSSrD0xec7MG3KKmTuD8baTj29KWY8ehbatis7RLdsgYKQgXOHjY6rFcVVUURERERE1BDV2V+3Dxw4EACwePHiEteK24rvqW6Hh1HXXHMN3njjjQrrRhFRw2LZNvYdCuL3/fkoDBnIKdARjFhwazKSfWqJMOrQwRDuHv8Fbh/1WSyM8ngVPDizH157+8IywyghBMK6iZyCCCzLRsCjwu9RkeLT0K6pn2EUERERERE1SA4hisvs1i2maeLEE0/E7t27sWbNGvTo0QMAkJ+fj759+2Lz5s3YuHEjOnXqBADIyspCVlYW0tPTkZ6eXuZzO3fujM2bN6Osadu2jVGjRmHBggW46qqr8Oabb0KWj20hWfH2wtzcXAQCgWN6FhHVvPygjv3ZIeimhWDYRFg3IUtO+NwK5CO2zQkh8PFHv2FWxhpkHwrH2vsPbIlps89E8xa+MvuxbBsFIfOPoug8QY+IqoDvL4iIiKg+q7Nb9mRZxrx58zBkyBD0798fw4YNQyAQwKJFi7Bt2zbMnDkzFkYBwPPPP4/p06cjIyMD06ZNi3vWiBEjYv+9d+/eEm2PP/54LMR66KGHsGDBAvh8PnTq1AkzZ84sMbahQ4fGAjIiajgM00ZmdhD5IQMRw0JhyIAA4HUpcKkSHEfUisrcX4jp93+JJZ/tiLUlJam4L+MMXHr5CSXuLxZdFVWyKHqSV0XjFDekSm4PJiIiIiIiqq/qbCAFAIMGDcLKlSuRkZGBd999F7quo2vXrpgxYwauv/76Sj/ntddeK7dt2rRpsUBq+/btAICCggLMmjWr1Oe1bduWgRRRAyKEQE6BjgO5IZimjYKwAd2woMoSvG65REAkhMB77/yCx2Z9jfw8PdY++IK2eOChvmjU2FNmX5YVLYpuFBVF97rk2KooL1dFERERERHRcaLObtlrSLiknqjuCusW9h8KIhgx/li1hOiqKFVxlljltHNHHjImr8LqlXtibemN3Jj6UF8MvrBdmf0IIRDSLYTCJpxOwOdWoMgSkn0aGiW7ITlLX01FRFQWvr8gIiKi+qxOr5AiIqopti2QlRdGdl4YRtGqJdOyoakyvJoM5xEBkWnaeG3eBjz/1PcIh61Y+6VXnID7HjwDyclln6xpHvZ8tyrD45KhKkWrolxcFUVERERERMcfBlJEdNwpCBnYnx2EbkRXRIUiJiSnE0lercTpeQCw4ccDePDelfhp06FYW7PmXkx7+EwMGNSqzH6EEAhFTAQjFiSnI/b8VL+G9CR3idCLiIiIiIjoeMFAioiOG4Zp40BOCHlBHbppoSBkwLYBjybDrckltucVFhp47onv8Mb8TbDt6O5mhwO4YWRX/Pnu3vB6y17dZJjRVVGWbcOtyfBoMjRVRrNUD9wav/QSEREREdHxjT8VEVGDd2TR8sJw9BQ9RXYi4FEgSyVXRS3/YiemP/Al9uwqiLWd2CUVDz1yFk7p0ajcvoJhEyHdgiw5kOzToEhOpAZcSEtywVnGyXtERERERETHEwZSRNSghXUT+w4FEYqYiBgWCsMmgGhRcU2RSqyKyjoQwuyH1uDjD3+LtWmahHETe2LE6G5QlJLhVTHdtFAYMmHZAh6XDLcqwa3JaJrqgUvll1siIiIiIqJi/AmJiBokyxY4mBtCdn4kvmi5IsHrUkrUbxJCYNG7WzBn1lfIzdVj7Wec2RzTHj4TbdqWfYKVXbQqKqybUCQnAj4VsuxEepIbqX6tROhFRERERER0vGMgRUQNihAC+SEDmdkhGOaRRctVKLJU4jXbfsvFtMmr8PWavbG2pGQN9009HZdecUK5gVLEsFAYMiAAeF0KXKoEj0tB01QPNKVkX0RERERERMRAiogaEN2wsD87FKsRVRgyIATg0RS4tZLb83Tdwqtz1+PF536AHrFi7RcP7YD7HjwdqWnuMvuybYGCsAHdsKDKErxuBYrsRKMkN5J9KldFERERERERlYOBFBHVe7YQOJQXxsG8MEzLRmHIhG4WB0UyJGfJuk8/fJ+JB+9biS2bs2NtLVr6MO3hM3HWwJZl9iWEiNWicgDwe1RoigSfW0GTFA8UuewaU0RERERERBTFQIqI6rXCkIH92UFEDAsh3UIwbMLpjAZFquwssVKpIF/H03O+w5uvb4IQ0Tan04ERo0/GuIk94fEoZfZlWTYKwiYM04rVolJkJ5qkeOD3KFwVRUREREREVEkMpIioXjJMG5k5IeQHdRimhYKi0+3cqgS3S4bTUbJo+X8/3o6Hp63BgcxgrP2kk9Pw0CNnoWu39DL7EkIgpFsIhU04nEDAq0KVJQS8KhonuyFLXBVFRERERERUFQykiKheEUIgOz+CrNyi7XlF9aIUyQm/Ty01HNq5Iw8zHliNFct2xdrcbhkT7uqFG0Z2hVzONjvzsBP63KoMj0uGqkhomuKB1132aioiIiIiIiIqGwMpIqo3gmED+7NDCOsmwnr0BD0A8LkVaEopRcsjFl7923q89NwPiBxWtHzgOa0w9aG+aNHKX2ZfQggEwyZCugVZciDZp0GWnEj1a0hPcsPp5PY8IiIiIiKio8VAiojqPNOKbs/LK9RhmNEVS5Yt4FIleDS51HDo69V7Mf3+Vfhta26srWkzL6ZMOwPnDWlTbr0n3bBQEDZg24DHJcOtSnCpMpqmeuDW+GWTiIiIiIjoWPEnKyKqs4QQyC4o2p5n/rE9T5acSPKqpZ5odzArhDkPf41/vfdrrE2SHBg+sivumNgTXp9aZn+2Lf7YAig7keRVIEtOpCe5kerXWLSciIiIiIiomjCQIqI6qarb82xb4J/vbMaTs79Bbq4eaz+lZyNMm3UmunRNK7MvIQQihoXCcHEfanT1lUtG0xQPVEWqgRkSEREREREdvxhIEVGdYpg2DuSEkBeMbs8rDEcLirtUuczteZt/OoRpU1bhh+8zY22BgIpJ9/XBVcNOLLfeU3FhdMO0oSkSvC4FiuxE42Q3Al6Vq6KIiIiIiIhqAAMpIqoThBA4lB/BwSNOz4tuz9NK3Z5XWGjghafX4rVXNsCyRKz94qEdcM8DpyO9kbvc/kKR6MorpxMIeFWosoSAR0XjFHepp/URERERERFR9WAgRUQJVxgysD8nhEglt+cBwP8W/45ZGauxd09hrK1t+yQ8OKMf+p7VvNz+/iiMbsOtRVdeqYqEpikeeN1K9U6OiIiIiIiISmAgRUQJY5gWMrNDyA8ZMEwLBSGzwtPzdu/Kx8PT1mDJZztibaomYey47hh96ylQtbLrPdm2QDBiIqybkCUnkn0aFMmJlIAL6QFXuVv7iIiIiIiIqPowkCKiWmfbAgfzwjiUH4ZpCQQP256X7FNL3S6nRyy8+rf1mPv8DwiHrVh7v/7N8eDMM9GmbaDM/qJFy20EwwYEAK9LKQq9FDRJ9cClsmg5ERERERFRbWIgRUS1RgiB/JCBAzkh6IaFUMRCKGLC4YiebKcpzlK3561ctgszM1bj9215sbb0Rm7c9+DpuPDi9uUWHrcsGwVhE4ZpxYqWy7ITjZLcSPaxaDkREREREVEiMJAioloR1i1k5gQRDJuIGBYKwwZsG3BrEtyaDGcpwdCe3QV45KGv8Nmn22NtTqcD19/UBXdM7IVAklZmf8VFy0MREw4nEPCoUBUJfo+CxsmeUoukExERERERUe1gIEVENcqybGTlhpFdECk6PS+6WkmRJQQ8cpnb8xbM24AXn10btz2v16lNMHVGX3Q+Ka3cPv+oR3VY0XJZQpNUD3wsWk5ERERERJRwDKSIqEYIIZBToCMrNwTDshEKmwjpJiSnE36PClUufXvequW7MOPB+O15aeku3D3lNFx6+QnlbrGzbYHCuHpURUXL/RrSk9wsWk5ERERERFRHMJAiompXGDaQmR1CWI9uzwuGTQgAHpcCtyqVGirt2V2AR2d8hcWfbI+1OZ0OXHdjF4yfVPH2vOg2QBMA4HMr0JTiouVuuFR+qSMiIiIiIqpL+FMaEVUb3bRwIDuE/JABw7RRGDZgWnY0HHIpkEpZoaTrFl6btwEvPvsDQiEz1t6zd2NMndEPXbqWvz3PtGwUhgwYRf2waDkREREREVHdx0CKiI6ZZQscygvjUH4YpiUQPGzbXJJXK7OA+KoVuzErYzW2bc2NtaWmufCXKafhkstPKHeLnRACwYiJUMSC5HQgyasW1aVS0TjFXWptKiIiIiIiIqobGEgR0VETQiC3UEdWbhiGGT3RLhix4HT8sW2utBVKe/dEt+f99+PtsTan04Fhw7tgwl3lb88DEHdKn6folD5NiRYt97pYtJyIiIiIiKiuYyBFREclGDGRmR1EWLcQ0YsCIgG4iwIiZylBlB6x8NorJbfn9ejVGA/OrHh7nmXbKAyZ0ItO6UvyRk/pSwu4kBpwldonERERERER1T0MpIioSgzTQmZOGPlBPa5OlKpI8GoypFK2ygkhsHTJTjzy0FfYsf2P0/NS01y4e3IfXHpFxwq354X06AosBwC/Ry2qFyWjSYoHqiLVxFSJiIiIiIiohjCQIqJKKatOlCQ5EfCqUOXSQ6FtW3Mw+6GvsGLprlib0+nANdd3xp//0htJFWzP000LhSETlm3DrcrwuGQosoTGyW74PQqLlhMREREREdVDDKSIqFyl1YkKRSw4KqgTVZCv48Vnf8Ab8zfCMOxY+6mnN8X9085A55PK355n2wKFhxVHT/ZpkCUnUvwa0pPcpZ7YR0RERERERPUDAykiKlNh2EBmdghh3UTEsBGsRJ0o2xb4cNGveOKRb5B1IBRrb9rMi7/cfxouuKhduauahBAI6xaCkWiNKZ9bgUuV4VZlNEl1w6XyyxYREREREVF9x5/siKiEiGHhQE4IBSGjZJ0olwzJWbJOFACsX3cAMzNW48e1B2Jtqibh5jHdcMvtp8DjKf8EvMP7cqkyPJoMRXaiUbIbSV6V2/OIiIiIiIgaCAZSRBRjWjYO5oaRUxCBadsoDJvQi7bMJXk1KHLpQVTWgRCeevQbLPrHlrj284a0wb0PnI6Wrf3l9mvbAoURExHdjOsryauiUbIbcimF0omIiIiIiKj+YiBFRLCFQHZ+BAfzwjAtG6GwiZBuwul0wOdWoSnOUlcnGYaNvy/YiL8+sxYF+UasvcMJyZg87Qyc2b9Fuf0euT3P61LgUiW4VBlNUz1wa/wSRURERERE1BDxpz2i45gQAvlBAwdyQ9ANKy4c8mgK3FrpBcsBYNXyXXh42hr8tjU31uYPqLhjYk8MG34SFKX8VU2Hb8/TFAlelwJZdqJRkhvJPm7PIyIiIiIiasgYSBEdp4IREweyQwjpJiKGhWDYhGULuFQJHk2Gs4xT7HbuyMOjM77C/xbviLU5HMAV13TCnX85FWnp7nL7tW2BYMRE+IjteQGvisbcnkdERERERHRcYCBFdJzRiwqW5xcVLA+GDRiWDUWW4PcoZQZCBfk6Xnr+B7z+6kYYuh1r79GrMe6ffgZOPqVRuf2Wtz2vSYobHlf5Bc+JiIiIiIio4WAgRXSciC9YLhAMG4gYFiSnEwGPCkUuvU6UZdl4791f8Ozj3+FgVjjW3qixB3dNPhUXDz2hzNVUxcranpee5EKKT+P2PCIiIiIiouMMAymiBs62BbILDitYHjERiphwOhzwuRVoStl1otas2oNHZnyFzT8dirWpmoSbRnXF2HHd4fWpFfZdWBR8cXseERERERERFWMgRdRACSGQF9SRlROGbh5ZsFyGW5PLDKK2b8vF4w9/HVcnCgDO/1M73HVfH7Rs7a+w78P7Kw6+uD2PiIiIiIiIAAZSRA2OEAKFYRMHckKIGBYihoXCsAHbRoUFy/NyI3jpuR+wcMEmGMYfdaJOOjkNkzPOwKmnNa2wf8O0UBAyYdk2XKoMjybz9DwiIiIiIiKKw0CKqAEJ6yYyc0IIhk0YpoXCsAnTsqHKEjweucwtcqZp459vb8azT3yP7EPxdaIm3tMbl17RscI6UdZhdalkyYlkn1a0TU9FI27PIyIiIiIiosMwkCJqAAzTwoHcMPIKdZiWjWDYhG5Gg6GAV4UqS2W+dtWK3Xh0xlfYsjk71qZpEkaO6YbRt50Cr7f87XVCCIR0C6GICQf+2J7n1mQ0SfHArfHLDBEREREREcXjT4pE9Zhp2TiYV3RyniUQipgI6yYkpxN+twpVKf3kPADY9lsu5sz6Gl98Hl8n6sJL2mPSvaeiRcuK60RFT8+Lbs9zqzLcLhmK5ESjZDeSvNyeR0RERERERKVjIEVUD9m2QHZ+BAfzDz85z4LDAXhdClxq2Sfn5eZG8MIza/Hma5tgmiLW3q17OiY/eAZ6ntqkwv5NKxpEGaYFRXbC74luz0vxaUhPckHi9jwiIiIiIiIqBwMponpECIHcQh1ZuWEYR5yc59ai2+ScZQRRum7hnb//jL8+vRa5OZFYe5OmHky6tw8uGtqhwjpRthCx8MvpBPweFZoSLZTeOMUDl1r21kAiIiIiIiKiYnV+GcM333yDCy+8ECkpKfB6vTjttNPw5ptvVvr1mZmZmD17Nq688kq0a9cODoejwm1ECxcuxNixY3HqqadC0zQ4HA4sWLDgGGdCdPSEEMgL6ti2Nw97DxaiIGQguyCCwrAJTZGQ7NPgdSmlhlFCCCz+ZDsu/r9FeHjamlgY5XJJGHdnT3z8xZW45PITyg2jhBAI6yZy8iMIRyx4NAkpPg0+l4Lm6V60auxjGEVERERERESVVqdXSC1duhRDhgyBqqq49tprkZSUhEWLFuH666/H9u3bMWXKlAqfsWnTJkyZMgUOhwMdO3aEx+NBMBgs9zUPPPAAfv/9d6Snp6NZs2b4/fffq2tKRFVWGDZwICeEsG5BN6xYzSZVKf/kPABYtzYTc2Z9je++2R/XfvHQDph476lo1txXYf/ROlEGTMuOroZyKZAlB1L9LqQFXBWuqiIiIiIiIiI6kkMIISq+rfaZponOnTtj165dWL16NXr27AkAyM/PR9++fbF582Zs2rQJHTt2LPc5+/fvx+bNm9GzZ0/4/X507twZmzdvRnnT/vzzz9GxY0e0adMGjzzyCCZPnoz58+djxIgRRzWXvLw8JCUlITc3F4FA4KieQcefUMREVm6oqFaTjWDYgGHZUCQnPC4Filx2ELVrRz6emvMtPv7wt7j2Pmc0xb0PnI6u3dIr7N+2BQrDBiKGBcnphM8tQ5El+N0KGqW4yz25j4iIah7fXxAREVF9VmdXSC1ZsgRbt27FyJEjY2EUAPj9fkydOhXXXnst5s+fj4cffrjc5zRp0gRNmlRcpPlw55133lGNmag66IaFA7lh5Ad1mJaNYNiEblqQJCcCHhWKXPbJebm5Efzt+XV4Y8FGGLoda2/XIQl/mXIazj63VYVbVoUQCOkWQkW1qXxuBZoiwaXKaJzihtelVN9kiYiIiIiI6LhUZwOppUuXAgAGDx5c4lpx27Jly2pzSEQ1yjBtHMwLI7cgAtMWCBatTnI6HfC5VWhK2UGUrlt4e+FPeOGZH+IKlqekunDHxJ64alhnKEr5JeOEENDNaABm2TZcqgyPK7olMD3JhRSfVmGYRURERERERFQZdTaQ2rJlCwCUuiUvJSUF6enpsXvqmkgkgkjkj1AgLy8vgaOhus60bBzKCyO7IALLKjrFTjfhdDjgdSlwqVKZQZAQAp99+jueeOQb7Nj+x78zTZNw0+iTMfrWU+APqJUaQ3RroBXdlufRIEtOJPs0pCe5yq1TRURERERERFRVdTaQys3NBQAkJSWVej0QCGDXrl21OaRKmz17NqZPn57oYVAdZ9kC2flhHMqPwLRshCMmQroFAPBoClyaVOqpecXWrc3EYzO/xvffxhcsv+TyE/Dnu3ujeYuKC5bbtkAwYiKsW5CcQMCjRoula9HteS61zn6JICIiIiIionqMP23WgMmTJ2PSpEmxv+fl5aFVq1YJHBHVJbYQyCmI4GBuOBpE6RaCERMQgEuT4Fblck+u27UjH08+9g0++WhbXPtpZzTDPQ+cVqmC5UKIP/oF4HXJcKkSVEVC42Q3fG6F2/OIiIiIiIioxtTZQKp4ZVTxSqkjFZ8sUxdpmgZN0xI9DKpjhBDILdSRlRuGYVqIGBaCYRO2AFyqBLcmQyoniMo+FMbc53/Am2/8dEwFyw0zuj0vVidKi9aJSgu4kBLQyl2VRURERERERFQd6mwgVVw7asuWLejdu3fctezsbGRlZaFfv36JGBpRlQghkB80cCA3BN2woBs2ghEDli2gFW2Pk8qp0RQKmXjj1Y14+cV1KMg3Yu2paS7cMbEXrrz2xAoLlgNH1olyxupEJXlVpCe5ocisE0VERERERES1o84GUgMHDsTs2bOxePFiXHvttXHXFi9eHLuHqK4SQqAgZCArN4yI8ceKKMu2ocoS/B653GLhpmnj/X9swfNPfY/M/cFYu8sl4cZRJ+OW206Bz19xwfLD60Q5nYDfo0JToiuyGie74dbq7JcBIiIiIiIiaqDq7E+i5557Ltq3b48333wTEyZMQI8ePQAA+fn5mDFjBmRZxogRI2L3Z2VlISsrC+np6UhPr7iGDlFNEUIgGDZxIDeEsG5BN6NBlGnZUGQnfG6t3NVIQggs+WwHnnr0W2z9NSfW7nQ6cPnVHXHHxF5o0tRbqXGUWidKltAo2Q2/h3WiiIiIiIiIKDHqbCAlyzLmzZuHIUOGoH///hg2bBgCgQAWLVqEbdu2YebMmejUqVPs/ueffx7Tp09HRkYGpk2bFvesw4OrvXv3lmh7/PHH40KsefPmYeXKlQCA9evXx9qWLl0KABg6dCiGDh1afZOlBiMYNnAgN4xQxIRhRrfmGaYNWXIi4FWhSM5yQ6Dvv9mPJx75psTJeecObo2J9/RBh47JFY5BCAHdtGOrsQ6vE5Ua0JDqd5VbNJ2IiIiIiIioptXZQAoABg0ahJUrVyIjIwPvvvsudF1H165dMWPGDFx//fWVfs5rr71Wbtu0adPiAqmVK1eWeM2qVauwatUqAEDbtm0ZSFGcUMREVm4IhUUroYprNUmSEwGPCkUuP4jauiUHTz32Df63eEdce8/ejXH35NPQq0+TSo0jvk6UxDpRREREREREVCc5hBAi0YNo6IpPBMzNzUUgEEj0cKgahXUTWblhFIQMmFZ0VZJuWpCcTnhcMtQKgqj9+wrx/FPfY9G7W2Dbf3wqtu+QhEn39cE5/9e6UtvqbFugMGIioluQnA54XTLUojpRTVLccKl1OnsmIqKjwPcXREREVJ/xp1SioxDRLWTlhZAfNGBZNoIRExEjGkT53Ao0RSo3SMrP0zHvpR/x+isbEA5bsfbGTTy4Y2IvXHZVR8iVWM0khEAoYiGkH1EnSpHQONkNn5t1ooiIiIiIiKjuYSBFVAURw8LB3DDygjosO7oiKmJYcDodlQqi9IiFN9/4CS899wNycyKxdp9fwehbT8GNo06G213xp6UQInpqX8SEbQu4NRnuojpR6QEXkv0anAyiiIiIiIiIqI5iIEVUCbphISsvjLxCHZYtEIqYCOsmnA4HvC4FLrX8IMo0bfzrvV/x16e/x949hbF2RXFi2I1dcOsdPZCS6qrcWA47tU9VJHi9MmSnE8k+DWlJLsgS60QRERERERFR3cZAiqgculm0IqpQh3kUQZQQAos/3o5nn/gOv23Njbt28dAOmHBXb7Rs7a/UWA6vURUtVK5BkaNbBBslu6Ep0jHNlYiIiIiIiKi2MJAiKoVhWsgqJYhyOBzwuBS4KxFEfbliN5567DtsXJ8Vd63/2S1x519646ST08t4dTzbFghGTIR1C04n4Her0FQJmiKhcYobXpdyTHMlIiIiIiIiqm0MpIgOY5gWDuZFkFsQiW3NC+kWHA7AoylwaVKFtZnWfrcfTz32Lb5Zsy+uvdepTTDx3lNx6mlNKzUWIQRCuoVQJL5guSJLaJTkQsCrsmA5ERERERER1UsMpIhwWBBVGIFlHRlESXBpcoVB1C8/H8LTc77DF5/viGvvfFIq7vzLqRgwqGWlAqRowXIbwYgB2xZwqTI8RQXLUwMaUv0uOJ0MooiIiIiIiKj+YiBFx7XqCKJ2/J6H55/8Hv/+11YI8Ud767YBTLirFy64qH2lA6QSBcs9MiQpWrA8nQXLiYiIiIiIqIFgIEXHpRJBlG4iHLGA4iBKlSsMkTL3F+KFZ3/Ae29vhmn+kUQ1aerB7Xf2xGVXdoKiVC5AKrdgeZIbmsqC5URERERERNRwMJCi40qJGlGHBVEuTYK7EkFUTk4E815ch78v2IRw2Iq1J6doGDuuO64d3gUuV+U+taxYwfSiguUeFZoiwaVKaJTMguVERERERETUMDGQouOCblo4WHRq3pHFyisbRBUWGnj9lQ149W/rUZBvxNo9XgUjbzkZI0afDJ9frdR4bPFHEAX8UbBclSWkJ7sQ8LBgORERERERETVcDKSoQdMNCwfzSg+iKrs1T49YeOfNnzH3+R9wMCsca1c1CcNu6Iwx47ojNc1dqfEIIRDWLQQjJoQA3JoEd1HB8rSACyk+rczxzHvySRTk5cEXCGD0pEmV/59AREREREREVMc4hDi8DDPVhLy8PCQlJSE3NxeBQCDRwzkuREoJosJFQZRbrWQQpVt4/x9b8NJzP2Df3sJYuyQ5cNlVHXH7n3uiWXNfpcYjhIBuRutEWbYNTZHgcSmQJQeSfRrSAhUXLO/bsiX27d6Npi1aYPWuXZXql4iIGi6+vyAiIqL6jCukqEGJ6EVBVPDwIMqEw+GAR5Ph0qQKT80zTRsfLvoVLzyzFrt3FcRdu+Didhg/qTfatU+q9JgM00Jh8cl5sgS/R4MsORHwqEhPdkGVWbCciIiIiIiIji8MpKhBCOsmDuaGkR8yYNk2QhHrsCBKqVQQZVk2Pv7wN/z1mbX4fVte3LWzz22F8ZN64aST0ys9ppIn56lQZAkel4xGSW64NX76ERERERER0fGJPxFTvRaKmDiYF0ZByIBl2QhGTEQMC06HAx6XApdacRBl2wKLP9mO55/6Hlu35MRdO2tgC9wxsRe692xc6TFZtkAwbCBi2HEn52lK8cl5MguWExERERER0XGNgRTVS8GwgYN54dhWuNBhQZS3KIiqKPQRQmDJZzvw3JPfY/NPh+Kund63Gcbf1Qu9+zSt9Jjsw4qmOx1HnJyX5ELAy5PziIiIiIiIiAAGUlSPCCEQDJvIygsjFIkGUcGICd2w4HRWLYhasXQXnnvye2z4MSvuWq9Tm2DCXb1wer/mVRpXSLcQipgAoqf3HX5yXrJfq3CVFhEREREREdHxhIEU1XlCCBSEoiuiwroFw4yuiNJNC5LTCZ9bgaZULohavWoPnnvie/zwfWbctW7d0zHhrt44c0CLSq9iEkIgYlgIhk3YQsClyvBoMiTJgRS/C2l+DVIFJ+dV1uIPPsDBzOiYD2ZmYvEHH2Dw0KHV8mwiIiIiIiKi2sZAiuosIQTyg9EgKmJYMEwLwYgJw7SLgigVmuKsVID0zVd78ewT3+Pbr/bFtXc5KRXj7+qNs89tVaUgSjejBcst24amRAuVS85o4fL0JDcUuXqCKCAaRo297LLY3w3DwK2XX46XFi1iKEVERERERET1EgMpqnOEEMgt1HEoLwzdtKEb0SDKtGzIkhN+jwpVrlwQ9cP3mXj2ie+weuWeuPYTOiVj/MReOO/8tnA6K7+dTjejK6JMy4YiS/B7NMhSdJVWo2Q33njuGbzy5JNVnnN5ildGHU4IgTuuvhppjStfbL0yRk2ahNGTJlXrM4mIiIiIiIiOxECK6gzbFsgpjCA7LwLdtKAXbc0rDqICHhVKJYOo9esO4PmnvsfyL3bFtbdtn4Q77uyJ8y9qV6XtdIZpF63OsiBL0ZVQiizBo8lolOyGW4t+KhXk5WHf7t1Vm/hRMgyj2vsqyMur1ucRERERERERlYaBFCWcZdvIKYiuiDItGxEjGkRZtg1FdiLgVaFIlQui1q3NxF+fXosVS+ODqFat/bj9zz1x0dAOkKuwne7wwumSM7o6S1MkaIqERslueF1y3Lh8gQCatmhR+clXwsHMTBiGUaJdUZRqXyHlCwSq9XlEREREREREpXEIIUSiB9HQ5eXlISkpCbm5uQjwB/4Y07KRnR9BdkEElmUjrFsI6SZsW0CVoyfVVbYW0w/fZ+KFp9dixbL4IKpZcy9undADl13ZCYpS+SDKsqM1oiKGDacT8GgyNEWCqkholOSG36NUuubUsVr8wQe49fLLcfinqsPhwEvvv4/Bl15aK2MgIqK6h+8viIiIqD7jCimqdYZp4VBeBDmFEdi2QEi3EI6YsAWgKU64PTLkSm6nW/vtfvz1mbVYtTx+61qzFl6MHdcDl13ZEaomVXpsti0QipgI6RacDsDrkuFSJSiyhLSAC8k+tdaCqGKDhw7FS4sW4Y6rr4ZhGFAUBc//4x8Mo4iIiIiIiKjeYiBFtSZiWDiUF0ZeoQ7LFgjpJsK6BSEAlyrBrUqVruv0/Tf78ddnvseXK+KLlbdo6cOYO7pj6BUdoapVCKJENIgK6xaA6IootxYdT5rfhRS/VqXi59Vt8NChSGvcGPt270Za48YMo4iIiIiIiKheYyBFNS4UMXEwL4yCkBENooqCH4cDcCkSXJoMqZJhz7df78Nfn16LNatKBlG3ju+BS6/oWKWteUJEV2iFIiaEANyaBLcqQ5KcSPVrSPVrVSp+TkREREREREQVYyDVAMx78kkU5OXBFwhg9KRJiR4OgGjQUxg2cSgvjGDRSXmhiImIYcHhcMCjSXCpcqVXHX29Zi9eeHotvlq9N669VWs/xt7RA5dcfkKVg6hwURBlCwGXKsOtyZAlB5K9GlIDrkrXryIiIiIiIiKiqmEg1QC88uST2Ld7N5q2aJHwQEoIgfyggYN5YUQMC4YZDaJ004LT4YDXpcClSpWuw/T16r3469Nr8fWa+CCqdRs/bh3fAxcNrXoQFTEsBCPR4umaIsHjkiE5o6f5pSe5oMqV3+pHRERERERERFXHQIqqhW0L5BbqOJQfhmHa0I3oiXmGaUNyOuFzK9CUygVRQgh8vXovnn96Lb79al/ctdZtA7htfA9cNLQD5CqsYBJCQDdsBCMmLNuGqkjwFBVP97sVpCe7oSkMooiIiIiIiIhqAwMpOiaWZSO7IILs/AhMy4Zu2Ajp0S16suSE36NClZ2VDqLWrNqLvz7zPb77en/ctbbtk3Dr+O740yVVD6IM045tG1RlCX6PBllywutSkJ7kglurH58GoyZNim3NJCIiIiIiIqrP6sdP4lTnGKaN7Pwwcgp0WLYdrcekR7fBKbKEgFeFIlU+iFq6ZCfmPvcD1q09EHetXYck3Da+By68pH2ViosLIWBYNoLhaBClyE4keTUoshNuTUajJBc8LqXK806kRG/HJCIiIiIiIqouDKSoSiK6hYP5YeQX6rBsgbBuIqRbEALQFCfcRdvgKsO2BT77ZDvmPv8Dftp0KO5a+w5JuG1CT1xwcbsqn3JnmDaCYQNG0SqtgFeFKktwqRIaJbnhccmVrmFFRERERERERNWPgVQ9t/iDD3AwMxMAcDAzE4s/+ACDhw6t1j6EEAhFTBzMi6AwbMCyo3+P6BYAQFMluFWp0sGRadr4z4db8fJff8TWX3PirnXqnIIx47rj/D8dZRAVMWGYVjSI8qhQFQmaIiE9yQWfW2EQRURERERERFQHMJCqxxZ/8AHGXnZZ7O+GYeDWyy/HS4sWVUsoJYRAfsjAobwwwroF04qemBcxLDgcDrg1CS5VhtNZuZBHj1j4YNEWzHvhR+zckR937eRT0nHbhB44+9zWlX5eMbNoa55uWpCcf9St0lQZ6QEX/B4GUURERERERER1iUMIIRI9iIYuLy8PrZKS0Ll5czirMRg5mJkJwzBKtCuKgrTGjY/p2baIbqkTiP7zuPDGsRh8wy1wOh1wqzJcauVOzAOAUMjEP9/ejFfnrse+vYVx13qf1gS3je+Bfv1bVDk0Mq3oiijdiAZRHk2GqjihKhLSAy4EvCqDKCIiarDy8vKQlJSE3NxcBHjgBREREdUzXCFVS5wAMvfsqZW+DMPAvt27q/WZwYJ8+N0qVKVyhcoBoLBAx5tv/ITX5m3Awaxw3LUzB7TA2Du6o8/pzao8lsNXajmdDvjcCjRFgiJHt+YlMYgiIiIiIiIiqtMYSNUSG0DjOrpCSqBoNZSIrocSItoGIeBwOOBwACmpydBUqVLPy8mJ4O8LNuKNVzciN1ePu3bu4NYYe0cPdOveqNLjK2YVrYiKGDacTsQFUWkBF5J8arX+/yUiIiIiIiKimsFAqpbkAfjsp5+qdUn94g8+wK2XX47Dd106HA48/49/YPCll5b7WiEEQrqFQ3lhFIQM2LZASDcRPvzEPK3yJ+YBwMGsEBbM24A3X/8JwcI/gjKHAzj/onYYO64HTuySWuV5xgVRDsDrim4ZlCUn0gIuJPu0KtedIiIiIiIiIqLEYSBVjw0eOhQvLVqEO66+GoZhQFGUCsMoIQTygwYO5ZdeqNylRguVS1UIePbtLcSrf1uPf7z5M8JhK9YuSQ5ccvkJuOW2U9CuQ3KV52fZNoIRCxHdKhFEpQZcSGEQRURERERERFQvMZCq5wYPHYq0xo2xb/dupDVuXGYYZdkCuYURZOdHYJg2dNNCKGLBMKN1mLwuBZoqVWnL27atOZj30np89P6vMAw71q6oTlx+dSeMHnsKWrb2V3lODKKIiIiIiIiIGjYGUg2cYdrILoggpyACy7IRMWyEdROmZUOWnPC5VWhVKFQOAOvXHcDLL/yIz/+7HYef0ehySbjm+s4YOaYbmjT1Vnmslm0jFLEQPiKIkiQnUv0aUvyuKq3cIiIiIiIiIqK6iYFUAxWKmMjOjyA/qMMSAmHdQjhiwhYCiiwh4FWhSJUPooQQWL1qD15+4UesWRV/WqA/oOK64V1w46iuSE1zV3msFQdRGiRn5WtZEREREREREVHdxkCqgckP6jiUH0EoYsaCnohuQQBF9aGkKhUqtywbn3/6O15+8UdsXJ8Vdy29kRsjRp+Ma67vDJ9frfJYGUQRERERERERHZ8YSDUgpiWwO6sQhhktVK6b0ULlbi1aqLwqdZf0iIUP3/8Vr8xdj+2/5cZda93Gj1G3noJLLz8Bmqvq/4Qsy0ZQL1kjikEUERERERER0fGBgVQ9VlwfyrSihZyEEMgpiMC0bEhOJ3xuBZoiVak+VGGBjnff3IwF8zYgc38w7lqXrmm45fZTMPiCtpCqsMqqmGXZCEZMRAy79CDKpx3Vc4mIiIiIiIiofmEgVQ8dWR/qTyPGIj83Fy6vDw6HAwGPCkWuWqHyQwdDWLhgE958bRNyc/W4a6ed0Qy33H4KzhzQokrPLFZhEMUVUURERERERETHFQZS9YQQAvkhA9nF9aEsG6GibW/nXXcLNMUJtyZXqT4UAOzelY8FL2/AP9/ejHDYirt27pA2GH3rKejRq/FRjdm0olsHGUQRERERERER0eHqfBrwzTff4MILL0RKSgq8Xi9OO+00vPnmm5V+fWZmJmbPno0rr7wS7dq1g8PhqNQqn2Ptt7pYlo2DeWH8ticPe7IKkVcYQV6hjuyCCHTDgluTkOrX4PeoVQqjtvySjfsmLcP5A/+BhQs2xcIoWXZg6JUd8dFnl+P5v513VGGUadnID+rIKdBhmDa8Lhkpfg0+t4JGyW50aB5AepKbYRQRERERERHRcapOr5BaunQphgwZAlVVce211yIpKQmLFi3C9ddfj+3bt2PKlCkVPmPTpk2YMmUKHA4HOnbsCI/Hg2AwWO5rqqPfYxUxLGTnR5BbqMO2bUQMC6GIBcs++vpQQgh8vXovXpm7HiuW7oq75nbLuHLYiRgx+mQ0b+E7qjGbRVvzdMOC0+mAzy1DU6Kn+qUGXEj2aZCqUFidiIiIiIiIiBomhxBCJHoQpTFNE507d8auXbuwevVq9OzZEwCQn5+Pvn37YvPmzdi0aRM6duxY7nP279+PzZs3o2fPnvD7/ejcuTM2b96MsqZdXf0eLi8vD0lJScjNzUUgECjzPiEECsPR+lCFYQO2LRDSTYR1C0IIqLIElyZBkapWH8o0bXz26Xa8Onc9NvyYFXctKUnF9SO64oYRJyEl1VXpZx7u8FP9nE4HPFp8EJXi06p0wh8RERFVrLLvL4iIiIjqojq7Z2rJkiXYunUrrrvuulgoBAB+vx9Tp06FaZqYP39+hc9p0qQJBgwYAL/fX6v9VoVtC2TnR7BtXz52HShAbmG0YPmh/DDCugVNkZDi0xDwqlDlyq+KCgYN/H3BJlxw9j8xadwXcWFUsxZe3Pfg6fjf6msxflKvowqjDNNGbqGO3MIILFvA51aR4tPgc6tokupBh+ZJSAu4GEYRERERERERUZw6u2Vv6dKlAIDBgweXuFbctmzZsnrdr2FGt+XlFOqwLBt60Uoj07LhdDrgdSnQVAnOKp5sdzArhL+/tglvvv4TcnMicde6nJSKm8eegiF/agdFqXoeKYSAUVSs3DCj2wf9HhWq7IQiS0gLuJDkU6s8ZiIiIiIiIiI6ftTZQGrLli0AUOrWuJSUFKSnp8fuqWv9RiIRRCJ/BEF5eXmx/xZCIBSJbsvLD0W35YUNC+GICVsIKNIfAU9VtuUBwPZtuVjw8gZ88M8tiETiT8w7c0AL3Dy2G/qe2bzKzy0et2FGa0SZlg35sHGqSlEQ5VWP6tlEREREREREdHyps4FUbm4uACApKanU64FAALt27Sr1WqL7nT17NqZPn16iPacggoOF0YLlpmUjrFsI69HgSFOccGtylU7KK7b2u/14de56/G/x7zi8NJYsO3DBxe1x85hu6HxSWpWfC0SDqMNXbsmSEwGPClWRioIoDQEPgygiIiIiIiIiqrw6G0jVZ5MnT8akSZNif8/Ly0OrVq2w/1AhVLcDYT263c3piBYAd6lSless2bbAF5/vwKtz1+P7b/fHXfN4FVw97ETcOKormjU/uhPzhBBxJ/spshNJXhWKLEFTJKQlueB3KwyiiIiIiIiIiKjK6mwgVbxCqXjF0pGKT5api/1qmgZN00q05xTqcAs9ut3NrUJVqr4tLxI28a/3f8WClzdg29b4MTZq7MHwm0/CNdd1RiCpZP+VIYRAWLcQ0k3YdvRkP59bgyI74VKjW/N8DKKIiIiIiIiI6BjU2UCquIbTli1b0Lt377hr2dnZyMrKQr9+/epVv5LDgSRvNNypquxDYbzz95/x99c2IetAKO5ah47JuHlMN1x0aQeomnRUY4sFUUW1rDRFgtsT3ULo1mSkB1zwuGQGUURERERERER0zKqejNSSgQMHAgAWL15c4lpxW/E99aVfWZaqHEb99msOpk1ZhXP6vo1nHv8uLozqc0ZTvPjq/+HDxZfj8qs7HVUYZdsCwbCBQ/kRFIYNKLITKT4Nfo+KJK+G1o19aNPEDy9XRRERERERERFRNXEIcXgZ7LrDNE2ceOKJ2L17N9asWYMePXoAAPLz89G3b19s3rwZGzduRKdOnQAAWVlZyMrKQnp6OtLT08t8bufOnbF582aUNe2q9lsZxdv8ln23FY3TUyq8XwiBr77ciwXzNmDZkp1x15xOBwZf0BY3j+2Gbt0bVXoMR7JtgZBuIqxbEAJwqRLcmgzJ6YDfrSA14IJbq7ML6IiIiI57xe8vcnNzEQgEEj0cIiIioiqps4mDLMuYN28ehgwZgv79+2PYsGEIBAJYtGgRtm3bhpkzZ8aFQs8//zymT5+OjIwMTJs2Le5ZI0aMiP333r17S7Q9/vjjsRCrqv1WJ1238PFHv+G1eRvw86ZDcdc8XgVXXtsJw0d0RcvW/qPuw7JshIpO93M4ioIotSiI8qpIC7igKUe37Y+IiIiIiIiIqDLqbCAFAIMGDcLKlSuRkZGBd999F7quo2vXrpgxYwauv/76Sj/ntddeK7dt2rRpcauqqqvfysrODuOdhT/jzdd/woHMYNy1Zi28uHFkV1xxzYnwB9Sj7sO0bIQiJiKGDacD8Liip/tJzmhdq7SABkVmEEVERERERERENa/ObtlrSMrasrdtaw5ee3Uj/vXPLQiHrbjXnNKjEUbccjL+7/y2kI+iCHoxw4wGUbppwel0wK0WBVGSE8k+Dal+DbJUZ0uJERERURm4ZY+IiIjqszq9QqohEkLg69XR+lBL/1eyPtR5Q9pgxOiT0aN346MuIi6EiAVRhmVDcjrhc6vQFCdkyYkUv4YUvwbJySCKiIiIiIiIiGofA6la9Om/t+H9d34vtT7UFdd0wvCRJ6FV66P/DacQAhEjGkRZtg1ZciLgUaHITqiyhNSAC0leFU4nT8sjIiIiIiIiosRhIFWLZmesBuCK/b1Zcy+Gj+yKK689tvpQQgiEdQsh3YRtC6iyBJ9biwZRioS0gIaARz3qFVdERERERERERNWJgVQCdOuejhG3dMPgC46tPpRtC4R1EyHdghACmiLB7ZEhS064VRmpAQ0+t8IgioiIiIiIiIjqFAZStWjAOS0x9vYz0PPUo68PBQCWbSMUsRAxLAgBuFQJbk2C5HTC61KQFtDg1mQGUURERERERERUJzGQqkUz5gyIO2WvqkwrWh8qYthwOAC3KsGlypCcDvi9KlL9LrhUqRpHTERERERERERU/RhI1XFCCBhWdEWUYVpwOh3wumS4VAlOpxPJPhWpfg2KzCCKiIiIiIiIiOoHBlJ1lBACuhldEWVaNiSnE363ClVxQpacSPFrSPZpkKWjr0FFRERERERERJQIDKTqmOIT88K6Bcu2ochOBDwqVEWCIjuR6nchyavC6WR9KCIiIiIiIiKqnxhI1RGlnZjn90RXQLlUCal+F/wenphHRERERERERPUfA6kEsywbId1CRLcAAFrciXkyUgMueHhiHhERERERERE1IAykEkAIAdMSCOkmdMOG0wG4tWih8j9OzNPgUvnhISIiIiIiIqKGh4lHLYsYVlyhcp9bhqZEV0Ql+1Sk+F1QZBYqJyIiIiIiIqKGi4FULQpFTDiDeqxQuSI7ochS0Yl5KiQngygiIiIiIiIiavgYSNUCIQQAwIgUQvaqkGwHYJnweTQEPBIc0FFYoCd4lERERFSf5OXlAfjjfQYRERFRfcJAqhbk5+cDAC4e1CvBIyEiIqKGJj8/H0lJSYkeBhEREVGVOAR/rVbjbNvGnj174Pf7a+S0vLy8PLRq1Qo7d+5EIBCo9ufXRZwz59xQcc6cc0PFOVf/nIUQyM/PR/PmzeHktn8iIiKqZ7hCqhY4nU60bNmyxvsJBALHzZv8Ypzz8YFzPj5wzscHzrl6cWUUERER1Vf8dRoREREREREREdUqBlJERERERERERFSrGEg1AJqmISMjA5qmJXootYZzPj5wzscHzvn4wDkTERER0eFY1JyIiIiIiIiIiGoVV0gREREREREREVGtYiBFRERERERERES1ioEUERERERERERHVKgZSRERERERERERUqxhIJdg333yDCy+8ECkpKfB6vTjttNPw5ptvVvr1mZmZmD17Nq688kq0a9cODocDDoejxvs9FomY88KFCzF27Ficeuqp0DQNDocDCxYsOMaZVE5tz3f37t14+umnMXjwYLRu3RqqqqJp06a44oor8NVXX1XHlCpU23POycnBhAkT0LdvXzRt2hSapqFFixY455xz8N5776E2zm5I1Ofy4R577LHY69asWVPVKVRZIubctm3b2H1H/rn11luPdUoVSuTH+f3338f//d//IS0tDW63G+3atcOwYcOwc+fOo51OpdT2nBcsWFDmx7j4z7nnnlsdUytTIj7OQggsWrQIgwYNQrNmzeDxeHDiiSdi7Nix+O233451SkRERER1j6CE+eKLL4SqqsLn84nRo0eLu+66S7Rr104AELNmzar0MwAIh8MhOnXqJDwej6jow1od/R6tRM25TZs2AoBIT0+P/ff8+fOrYUYVj7W253vvvfcKAKJDhw7i5ptvFvfdd5+44oorhCRJwul0infeeae6plfmeGt7zlu2bBFer1ece+65YuzYsWLy5Mli1KhRonHjxgKAuOWWW6premWONxH/rg+3adMmoWma8Hq9AoBYvXr10U6nUhL5uZyUlCQyMjJK/Pnoo4+qY2rljjcRc7ZtW4wZMyb2eX377beLe++9VwwfPly0bt1arFixojqmV+Z4a3vOa9euLfXjm5GRIbp27SoAiEcffbS6pljqeBPxcZ40aZIAIJo1ayZuvfVWcc8994ghQ4YIh8Mh/H6/WL9+fXVMj4iIiKjOYCCVIIZhiA4dOghN08T3338fa8/LyxNdu3YVsiyLX375pcLn7Nu3Tyxbtkzk5eUJIYQ48cQTy33TW139Ho1EzVkIIT777DOxfft2IYQQs2fPrpVAKlHzfe+998Ty5ctLtC9fvlwoiiJSU1NFOBw+ihlVLFFzNk1TGIZRoj0vL0+cdNJJAoDYsGHDUcyoYon8d13MNE3Rp08fcdppp4kbbrihxgOpRM65TZs2ok2bNsc0/qORyDk/88wzAoAYN26cME2z1LHVhLrwb/twkUhEpKWlCVmWxb59+6r8+spI1Jz37t0rnE6naNu2rcjNzY279tRTTwkAYuTIkUc5KyIiIqK6iYFUgvz3v/8t8w3m22+/LQCIyZMnV/m5Fb3pral+KyNRcz5SbQVSdWW+hxs8eLAAIL755pujen1F6uKcJ06cKACIDz744KheX5G6MOdZs2YJVVXFhg0bxE033VTjgVQi55yoQCpRcw4GgyI1NVW0b9++xoKnstSFf9ul9Tl06NAqv7ayEjXn1atXCwDi+uuvL3Htl19+EQDEn/70pyr3S0RERFSXyVXZ3kfVZ+nSpQCAwYMHl7hW3LZs2bIG02+i+06EujhfRVEAALJcM5/6dW3O4XAYS5YsgcPhwEknnVQjfSR6zhs2bMD06dPxwAMPoGvXrjXWz+ESPedIJILXXnsNu3fvRkpKCvr164fu3bvXWH9A4ub82Wef4dChQxgxYgQsy8KHH36IX375BcnJyTjvvPNwwgknVHufxRL9cT7SK6+8AgAYPXp0jfWRqDl37NgRqqpi1apVyM/Ph9/vj137+OOPAQDnnHNOtfdLRERElEgMpBJky5YtAKJvQo+UkpKC9PT02D0Nod9E950IdW2+O3bswOeff46mTZuiW7duNdJHoueck5ODp59+GrZtIzMzEx9//DF27tyJjIyMUsdUHRI5Z9M0MWLECHTp0gX33XdfjfRRmkR/nPft24cRI0bEtZ1//vl44403kJ6eXiN9JmrO3377LYBoiNy9e3ds3rw5ds3pdGLixIl4/PHHq71fIPEf58P9/vvv+N///ocWLVrg/PPPr7F+EjXntLQ0zJo1C3/5y1/QpUsXXHLJJfD7/Vi/fj0+//xzjBkzBuPHj6/2fomIiIgSiYFUguTm5gIAkpKSSr0eCASwa9euBtNvovtOhLo0X8MwMHz4cEQiETz22GOQJKlG+kn0nHNycjB9+vTY3xVFwZw5c3DXXXfVWJ+JnPPDDz+MdevW4auvvoqtfqsNiZzzzTffjIEDB6Jr167QNA2bNm3C9OnT8cknn+CSSy7BqlWrqnw6YWUkas6ZmZkAgCeeeAK9evXC119/jS5dumDt2rUYM2YMnnjiCXTo0AG33XZbtfed6M/nw82fPx+2bWPkyJE19vULSOyc7777bjRv3hxjx47Fiy++GGvv168fbrjhhlr9HCciIiKqDc5ED4CIapZt27j55puxfPly3HLLLRg+fHiih1Rj2rZtCyEETNPEtm3b8NBDD+H+++/HFVdcAdM0Ez28arVu3TrMnDkTd999N3r16pXo4dSaBx98EAMHDkR6ejr8fj9OP/10/Pvf/8ZZZ52F1atXx7Y3NRS2bQMAVFXFBx98gD59+sDn86F///745z//CafTiSeeeCLBo6xZtm1j/vz5cDgcuPnmmxM9nBozc+ZMjBgxApMnT8bOnTtRUFCAlStXwjRNDBo0CIsWLUr0EImIiIiqFQOpBCn+7Wvxb2OPlJeXV+ZvaOtjv4nuOxHqwnyFELjllluwcOFC3HDDDXjppZdqtL+6MGcAkCQJbdu2xX333YeZM2fi/fffx8svv1wjfSVqzjfddBM6dOiAadOmVfuzK1JXPs7FnE4nRo4cCQBYtWpVjfSR6K/Zp556Kpo3bx53rWvXrmjfvj22bt2KnJycGus70R/nzz77DDt27MA555yDdu3a1WhfiZrzkiVLMHXqVNxxxx2YMmUKWrZsCa/XizPPPBP//ve/4Xa7MXHixGrvl4iIiCiRGEglSHF9itJqUWRnZyMrK6tGat4kqt9E950IiZ6vbdsYNWoUXn31VQwbNgwLFiyA01mzn/KJnnNpigsRFxcrrm6JmvO6devw888/w+VyweFwxP689tprAIC+ffvC4XDggw8+qPa+6+LHubh2VDAYrJHnJ2rOJ554IgAgOTm51OvF7aFQqNr7risf59ooZl4sUXP+z3/+AwAYNGhQiWuNGjVCt27dsGPHDmRlZVV730RERESJwkAqQQYOHAgAWLx4cYlrxW3F9zSEfhPddyIkcr62bWP06NGYP38+rrnmGrzxxhs1WnelWF38GO/ZswdAzZ0smKg5jxo1qtQ/xT8sX3LJJRg1ahTatm1b7X3XxY/zV199BQA1Ml8gcXMuDih++umnEtcMw8Cvv/4Kr9eLRo0aVXvfdeHjfPDgQfzrX/9CamoqLrvsshrtC0jcnHVdBwAcOHCg1OvF7ZqmVXvfRERERAkjKCEMwxDt27cXmqaJtWvXxtrz8vJE165dhSzLYvPmzbH2AwcOiJ9++kkcOHCg3OeeeOKJorwPa1X7rU6JmvORZs+eLQCI+fPnV3UKVZKo+VqWJUaMGCEAiKuuukoYhnHMc6msRM157dq1Iicnp0T7wYMHRY8ePQQA8cYbb1R9QpVQV/5dF7vpppsEALF69eoqv7ayEjXnjRs3iuzs7BLtK1asEC6XS2iaJn7//fcqz6cyEvlxHjx4sAAgXn755bj2hx56SAAQN9xwQ9UnVAl14d/2U089JQCICRMmHNUcqipRc37rrbcEANG1a9cSX8sWLFggAIjevXsf3aSIiIiI6iiespcgsixj3rx5GDJkCPr3749hw4YhEAhg0aJF2LZtG2bOnIlOnTrF7n/++ecxffp0ZGRklKgZc/jx53v37i3R9vjjj8e2s1S134YwZwCYN28eVq5cCQBYv359rK14G9fQoUMxdOjQ6pssEjffhx56CAsWLIDP50OnTp0wc+bMEmMbOnQoevToUW1zLZaoOS9YsADz5s3DoEGD0KZNG3i9Xvz+++/4z3/+g4KCAlxxxRW47rrrqn2+iZxzIiVqzu+++y4ee+wxnHvuuWjbti00TcOGDRuwePFiOJ1OvPTSS2jdunWDmjMAvPDCC+jXrx9uueUWfPDBB+jcuTPWrl2LJUuWoE2bNpgzZ06Dm3Ox2tyuByRuzldddRXmzp2LpUuXomPHjrjkkkuQkpKCdevW4bPPPoOmaXj66adratpEREREiZHoROx499VXX4nzzz9fJCUlCbfbLU499VSxcOHCEvdlZGQIACIjI6PENQDl/tm2bdtR91sTEjHn4lUjZf0prY/qUtvzrWiuqIXVYbU95xUrVogRI0aIzp07i0AgIGRZFo0bNxbnn3++ePPNN4Vt2zU426hEfS4fqTZWSBWr7TkvXbpUXH311eKEE04Qfr9fKIoiWrZsKa699lrx1Vdf1eBM/5Coj/OOHTvEiBEjRNOmTYWiKKJVq1Zi3LhxYv/+/TUwy3iJ/D4FQJx22mk1MKvyJWLO4XBYPProo6JXr17C4/EIWZZFixYtxHXXXSfWr19fQzMlIiIiShyHEEJUFFoRERERERERERFVFxY1JyIiIiIiIiKiWsVAioiIiIiIiIiIahUDKSIiIiIiIiIiqlUMpIiIiIiIiIiIqFYxkCIiIiIiIiIiolrFQIqIiIiIiIiIiGoVAykiIiIiIiIiIqpVDKSIiIiIiIiIiKhWMZAiIiIiIiIiIqJaxUCKiIiIiIiIiIhqFQMpIqJasmHDBnz22WelXsvLyzumZxcUFBzT64mIiIiIiGoTAykiolqwf/9+dOvWDevXry9x7YUXXsAnn3xyTM/PycnBtGnTGEwREREREVG9wECKiKgWrFixAgBw9tlnx7XffffdkGUZ11xzzTE9v2XLlrjttttwww03IBgMHtOziIiIiIiIahoDKSKiWrBy5UokJyejR48esba5c+di586dGDNmTLX00aRJE4wfPx4TJkyolucRERERERHVFIcQQiR6EEREDV3v3r3RokULfPjhhwCAAwcOoH379vj2229x4oknVmtfp512GqZNm4YLL7ywWp9LRERERERUXbhCioiomn311Ve4+OKLkZycjKZNm2Ly5MlYt24dBg4cGLvnxRdfRIsWLUqEUVOnTsX111+PWbNmoU2bNtA0Dd27d8f//vc/fPnllzjzzDPhdrtx0kkn4dNPPy21/4suuggPP/xwjc6RiIiIiIjoWHCFFBFRNXruuedw55134swzz8T555+Pn376CQsXLgQAfPvtt+jduzcAoFevXujYsSPeeeeduNefffbZWLVqFVwuF8aMGYPU1FQ8+uijME0Ttm1jyJAhOPvss/Hyyy9jx44d+PXXX9G0adO4Z3z44Ye49NJLsWPHDrRq1ap2Jk5ERERERFQFcqIHQETUULz99tuYMGECnnrqKdx5552x9ry8PCxbtgw9e/YEABiGgfXr15cocF5MkiSsWrUKp5xyCgAgFAph1qxZuPfee/HII48AAHr06IFzzjkHa9aswdChQ+Ne37JlSwDA6tWrGUgREREREVGdxC17RETVID8/H+PHj8eYMWPiwigA2LVrF8466yw4ndEvuQcPHoRpmvB6vaU+6/TTT4+FUQDQvn17AMDYsWNjbW3btgUA5OTklHi9z+cDAPz+++9HOx0iIiIiIqIaxUCKiKgafPjhh8jKysL48ePj2rOzs/HDDz/ErYaqaKe0w+GI+3txkHV4+5H3HE6Wo4tfDcOo1NiJiIiIiIhqGwMpIqJq8MMPPwAA2rVrF9f+2WefwbbtuEAqLS0NkiShsLCwRsYSCoVi/RAREREREdVFDKSIiKpB8aqkdevWxdo2b96MiRMnwu/3x+pHAYCqqjj55JOxZ8+eGhlLZmYmAODkk0+ukecTEREREREdKwZSRETV4JxzzgEAXHHFFbj//vsxbtw4nHrqqdi7dy/69OkDSZLi7r/kkkuwfv36GhnLTz/9hLS0NJx++uk18nwiIiIiIqJjxUCKiKga/N///R8ee+wxSJKEJ598Ej/++CNee+01tGnTBtddd12J+8eOHYutW7dix44d1T6Wzz//HLfddlts1RYREREREVFd4xAVVdclIqIaMWfOHOzevRtPP/10tT1z69atuOCCC/D999/HTtsjIiIiIiKqa7hCiogoQe6++25s3boVK1asqJbn6bqO8ePH4x//+AfDKCIiIiIiqtMYSBERJYjD4cC7776L999/H2vXrj2mZ0UiEdxzzz2YPXs2unfvXk0jJCIiIiIiqhncskdEVAd899136N2791G//rfffkNqaiqSk5Orb1BEREREREQ1hIEUERERERERERHVKm7ZIyIiIiIiIiKiWsVAioiIiIiIiIiIahUDKSIiIiIiIiIiqlUMpIiIiIiIiIiIqFYxkCIiIiIiIiIiolrFQIqIiIiIiIiIiGoVAykiIiIiIiIiIqpVDKSIiIiIiIiIiKhWMZAiIiIiIiIiIqJaxUCKiIiIiIiIiIhq1f8DBkEQRMl2RVsAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1200x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "d=np.array([ufloat(x,0.004) for x in [0.10,0.12,0.14,0.16,0.18]])\n",
+    "f=np.array([ufloat(x,0.00152) for x in [0.1028,0.1053,0.1213,0.1331,0.1575]])\n",
+    "\n",
+    "# Extract nominal values and uncertainties\n",
+    "d_nominal = np.array([val.nominal_value for val in d])\n",
+    "f_nominal = np.array([val.nominal_value for val in f])\n",
+    "\n",
+    "# Fill XYContainer\n",
+    "xy_data = XYContainer(x_data=d_nominal, y_data=f_nominal)\n",
+    "xy_data.add_error(axis=\"x\", err_val=0.004)\n",
+    "xy_data.add_error(axis=\"y\", err_val=0.00152)\n",
+    "xy_data.label = \"Data\"\n",
+    "\n",
+    "# Define model function\n",
+    "def Gullstrand(x, f1=1, f2=1):\n",
+    "    return f1*f2/(f1+f2-x)\n",
+    "\n",
+    "# Declare and perform the fit\n",
+    "fit = Fit(xy_data, model_function=Gullstrand)\n",
+    "results = fit.do_fit()\n",
+    "\n",
+    "# Plot the result\n",
+    "plot = Plot(fit_objects=fit)\n",
+    "plot.customize(\"model_line\", \"label\", [(0, r\"Gullstrand Modelfunktion\")])\n",
+    "plot.customize(\"model_line\", \"color\", [(0, \"darkblue\")])\n",
+    "plot.customize(\"model_line\", \"linestyle\", [(0, \"solid\")])\n",
+    "plot.customize(\"model_error_band\", \"label\", [(0, r\"$\\pm1\\sigma$\")])\n",
+    "plot.customize(\"model_error_band\", \"color\", [(0, \"lightsteelblue\")])\n",
+    "plot.x_label = r\"$d\\,(\\mathrm{m})$\"\n",
+    "plot.y_label = r\"$f\\,(\\mathrm{m})$\"\n",
+    "plot.plot()\n",
+    "\n",
+    "# Show plot in notebook\n",
+    "plot.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0f0906ec-2331-4f41-97d3-23b337cf4cd0",
+   "metadata": {},
+   "source": [
+    "**L Ö S U N G**\n",
+    "\n",
+    "Die erhaltenen Brennweiten $f$ bei verschieden Abständen $d$ sind:\n",
+    "\n",
+    "|Brennweite \\ Abstand | $10\\,\\mathrm{cm}$  |    $12\\,\\mathrm{cm}$  |  $14\\,\\mathrm{cm}$   |  $16\\,\\mathrm{cm}$  |$10\\,\\mathrm{cm}$|\n",
+    "|----|-----|-----|-----|-----|-----|\n",
+    "|$f$ (in cm)|$10.28\\pm0.17$|$10.53\\pm0.18$|$12.13\\pm0.15$|$13.31\\pm0.14$|$15.75\\pm0.12$|\n",
+    "\n",
+    "Zur Vereinfachung wurde der Mittelwert der Unsicherheiten zur Bestimmung von $f1$ und $f2$ verwendet: $\\Delta f=\\frac{0.17+0.18+0.15+0.14+0.12}{5}=0.152$\n",
+    "$\\chi^2/\\alpha\\,(b)=0.152$ sowie ein $\\chi^2$-Wert von $\\chi^2=1.762$ woraus sich schließen lässt, dass die Daten nicht wirklich durch das Modell beschrieben werden.\n",
+    "\n",
+    "Das Modell ermittelt die Brennweiten $f1=(9.94\\pm0.30)\\,\\mathrm{cm}$ und $f2=(22.8\\pm1.1)\\,\\mathrm{cm}$.\n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3722b349-d7b1-4107-b4a8-c02cb18bbaaa",
+   "metadata": {},
+   "source": [
+    "**D I S K U S S I O N**\n",
+    "\n",
+    "Ein Grund für den niedrigen $\\chi^2/\\alpha$-Wert ist die große Unsicherheit beim manuelen Messen. Präzisionsfehler bei der Messung der Bildgröße $B$ und des Abstandes Schirm-Linse sind wahrscheinlich da die Bestimmung der maximalen Schärfe des Bildes sich als kompliziert und relativ zum Betrachter erweisen. Dies ist vor allem in der Datenmessung bei $d=10\\,\\mathrm{cm}$ zu erkennen, wie in der Versuchsbeschreibung erwähnt mussten anderen Abstände $d$ gewählt werden da sich die Ablesung der Größen $B$ und $b$ zu ungenau erscheinten, dies wird auch im niedrigen $\\chi^2/\\alpha$-Wert verspiegelt. Vergleichweise zu den Litteraturwerten $f1_{L}=10\\,\\mathrm{cm}$ und $f2_{L}=20\\,\\mathrm{cm}$ sind die ermittelten Brennweitenwert $f1$ und $f2$ jedoch gut vergleichbar. Die Größenordnung ist zustimmend und der Litteraturwert von $f1_{L}$ ist innerhalb der Unsicherheit des ermittelten Wertes $f1$.\n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "aabf6258-c811-4b99-9931-b4c799559cb3",
+   "metadata": {},
+   "source": [
+    "## Aufgabe 3: Aufbau optischer Instrumente\n",
+    "\n",
+    "Bauen Sie **ein optisches Gerät Ihrer Wahl** aus der folgenden Auflistung auf einer kleinen Führungsschiene auf und überprüfen Sie qualitativ dessen Eigenschaften. \n",
+    "\n",
+    " * Ein [Keplersches (astronomisches) Fernrohr](https://de.wikipedia.org/wiki/Fernrohr#Kepler-Fernrohr) mit **mindestens 6-facher Vergrößerung**.\n",
+    " * Ein [Galileisches Fernrohr](https://de.wikipedia.org/wiki/Fernrohr#Galilei-Fernrohr) mit **mindestens 6-facher Vergrößerung**.\n",
+    " * Einen [Projektor](https://de.wikipedia.org/wiki/Projektor), der ein $24\\times36\\,\\mathrm{mm}^{2}$ großes Diapositiv gleichmäßig ausleuchtet und in etwa $1.5\\ \\mathrm{m}$ Entfernung eine etwa **10-fache Vergrößerung** aufweist.\n",
+    " * Ein [Mikroskop](https://de.wikipedia.org/wiki/Mikroskop) mit **mindestens 20-facher Vergrößerung**.\n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "974cccd1-cfb5-43fb-a4c2-c7b003c72c39",
+   "metadata": {},
+   "source": [
+    "**V E R S U C H S B E S C H R E I B U N G**\n",
+    "\n",
+    "\n",
+    "Es wurde ein Gallilei-Ferrohr mit Vergößerungsfaktor 10 wie in der Skize aufgbaut. \n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "attachments": {
+    "1000010179.jpg": {
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+    }
+   },
+   "cell_type": "markdown",
+   "id": "832cdd96-593e-48e8-bbfc-800d87901f0d",
+   "metadata": {},
+   "source": [
+    "**L Ö S U N G**\n",
+    "\n",
+    "![1000010179.jpg](attachment:1000010179.jpg)\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f4a1effb-f5f7-4566-965c-d3cde450245b",
+   "metadata": {},
+   "source": [
+    "**D I S K U S S I O N**\n",
+    "\n",
+    "\n",
+    "Eine Vergrößerung wie in einem Ferrohr zu erwarten konnte beobachtet werden. Das Bild war dabei wie zu erwarten nicht invertiert. \n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "167895f2-9ea8-4baa-9298-659e8d02ff0d",
+   "metadata": {},
+   "source": [
+    "# Beurteilung"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e2b5924e-3bda-4081-8f69-dc6b4aaec17c",
+   "metadata": {},
+   "source": [
+    " * Nach Abschluss des Versuchs haben Sie die Möglichkeit diesen Versuch individuell zu beurteilen.\n",
+    " * **Folgen Sie zur Beurteilung dieses Versuchs diesem [Link](https://www.empirio.de/s/YWLdVVWVWm)**.\n",
+    " * Beachten Sie, dass jede:r Studierende nur einmal pro Versuch eine Beurteilung abgeben kann.\n",
+    " * Wir empfehlen die Beurteilung nach der Besprechung Ihrer Versuchsauswertung mit Ihrem:r Tutor:in auszufüllen.  "
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
-- 
GitLab