From bed1a35fd51b920b83547a21b0805b977f0a8e86 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: Thu, 16 Jan 2025 12:33:58 +0000
Subject: [PATCH] Delete AeromechanikJonathanfinal.ipynb

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 Aeromechanik/AeromechanikJonathanfinal.ipynb | 1396 ------------------
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--- a/Aeromechanik/AeromechanikJonathanfinal.ipynb
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-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "885c7767-e912-4e31-b5d6-3a3443ffa58e",
-   "metadata": {},
-   "source": [
-    "# Fakultät für Physik\n",
-    "\n",
-    "## Physikalisches Praktikum P1 für Studierende der Physik\n",
-    "\n",
-    "Versuch P1-111, 112, 113 (Stand: **Oktober 2024**)\n",
-    "\n",
-    "[Raum F1-10](https://labs.physik.kit.edu/img/Klassische-Praktika/Lageplan_P1P2.png)\n",
-    "\n",
-    "\n",
-    "\n",
-    "# Aeromechanik"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "6e7cb4cc-36a4-4f60-832b-5a0d9b171b22",
-   "metadata": {},
-   "source": [
-    "Name: __________________ Vorname: __________________ E-Mail: __________________\n",
-    "\n",
-    "\\begin{equation*}\n",
-    "\\begin{split}\n",
-    "&\\\\\n",
-    "&\\\\\n",
-    "\\end{split}\n",
-    "\\end{equation*}\n",
-    "\n",
-    "Name: __________________ Vorname: __________________ E-Mail: __________________\n",
-    "\n",
-    "\\begin{equation*}\n",
-    "\\begin{split}\n",
-    "&\\\\\n",
-    "&\\\\\n",
-    "&\\\\\n",
-    "\\end{split}\n",
-    "\\end{equation*}\n",
-    "\n",
-    "Gruppennummer: _____\n",
-    "\n",
-    "\\begin{equation*}\n",
-    "\\begin{split}\n",
-    "&\\\\\n",
-    "&\\\\\n",
-    "&\\\\\n",
-    "\\end{split}\n",
-    "\\end{equation*}\n",
-    "\n",
-    "\n",
-    "Betreuer: __________________\n",
-    "\n",
-    "\\begin{equation*}\n",
-    "\\begin{split}\n",
-    "&\\\\\n",
-    "&\\\\\n",
-    "&\\\\\n",
-    "\\end{split}\n",
-    "\\end{equation*}\n",
-    "\n",
-    "Versuch durchgeführt am: __________________"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3565bbb8-9f2c-452f-9090-d0bfda13e119",
-   "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": "4b5836a8-619b-4c6c-a566-bba7a4313f32",
-   "metadata": {},
-   "source": [
-    "# Durchführung"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "2c2f4772-ce8f-40a6-9005-78e10fc4f8a9",
-   "metadata": {},
-   "source": [
-    "**Detaillierte Hinweise zur Durchführung der Versuche finden Sie in der Datei [Aeromechanik_Hinweise.ipynb](https://gitlab.kit.edu/kit/etp-lehre/p1-praktikum/students/-/blob/main/Aeromechanik/Aeromechanik_Hinweise.ipynb)**"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "adf238e6-5a0e-449a-acda-37a9eab56166",
-   "metadata": {},
-   "source": [
-    "## Aufgabe 1: Bernoulli-Gleichung \n",
-    "\n",
-    "**Die folgenden Versuche führen Sie im Zusammenhang mit der Vorbesprechung mit allen anderen Gruppen gemeinsam durch.**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "id": "a380155f-f9e9-4ecb-b602-25944e705241",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# After execution of this cell these imports can be used throughout the whole \n",
-    "# Juyter-notebook \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",
-    "from uncertainties import ufloat\n",
-    "def utl(u):\n",
-    "    return [f\"${x.nominal_value:.3f} \\\\pm {x.std_dev:.3f}$\" for x in u]"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "6cd00192-0e55-438a-b5e4-700e5693291f",
-   "metadata": {
-    "jp-MarkdownHeadingCollapsed": true
-   },
-   "source": [
-    "### Aufgabe 1.1: Statischer und dynamischer Druck\n",
-    "\n",
-    "Bestimmen Sie den statischen und den dynamischen Druck im Luftstrom einer Düse bei Drehzahlen des Motors zur Erzeugung des Luftstroms von $f=2600\\,\\mathrm{U/min}$:\n",
-    "\n",
-    " * Mit einer **Rohrsonde**.\n",
-    " * Mit einer **Scheibensonde**.\n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "id": "36746784-b696-43a7-9f37-97c6d76eacf7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
-    "import PhyPraKit as PPK\n",
-    "import kafe2\n",
-    "from uncertainties import ufloat"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "b4eb4128-fd31-4415-9c88-9527088d03c8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#Rohrsnde\n",
-    "p0=ufloat(130-30,10)#Gesamtdruck bei d=0.15+-0.02m undr=0m in Pa\n",
-    "ps=ufloat(110-30,10)#Staatischetdruck bei d=0.15m und r=0m \n",
-    "#Scheibensonde\n",
-    "p0sonde2=ufloat(130-30,10)#Gesamtdruck bei d=0.15m undr=0m\n",
-    "pssonde2=ufloat(40-30,4)#Staatischetdruck bei d=0.15m und r=0m"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a5d840ee-01d0-4562-b389-1067c622cb40",
-   "metadata": {},
-   "source": [
-    "**V E R S U C H S B E S C H R E I B U N G**\n",
-    "\n",
-    "*Fügen Sie Ihre Versuchsbeschreibung hier ein. Löschen Sie hierzu diesen kursiv gestellten Text aus dem Dokument.* \n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "6d254739-c320-4fa8-9dbb-955dcb6f6e76",
-   "metadata": {},
-   "source": [
-    "**L Ö S U N G**\n",
-    "\n",
-    "*Fügen Sie numerische Berechnungen zur Lösung dieser Aufgabe hier ein. Löschen Sie hierzu diesen kursiv gestellten Text aus dem Dokument. Um Code-Fragmente und Skripte in [Python](https://www.python.org/), sowie ggf. bildliche Darstellungen direkt ins [Jupyter notebook](https://jupyter.org/) einzubinden verwandeln Sie diese Zelle in eine Code-Zelle. Fügen Sie ggf. weitere Code-Zellen zu.* \n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "1cf505e9-5042-4c59-a5c7-aa32907791b5",
-   "metadata": {},
-   "source": [
-    "**D I S K U S S I O N**\n",
-    "\n",
-    "*Fügen Sie eine abschließende Diskussion und Bewertung Ihrer Lösung hier ein. Löschen Sie hierzu diesen kursiv gestellten Text aus dem Dokument.* \n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "20887c3e-9c2e-4cf2-918e-c6091ec8f900",
-   "metadata": {},
-   "source": [
-    "### Aufgabe 1.2: Venturirohr\n",
-    "\n",
-    "Beobachten und skizzieren Sie den **Verlauf des statischen Drucks** längs des Luftstroms im Venturirohr.\n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "e3e3329b-3653-4235-a6a1-e853a53a02ee",
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "SyntaxError",
-     "evalue": "invalid syntax (1852070117.py, line 1)",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;36m  Cell \u001b[0;32mIn[17], line 1\u001b[0;36m\u001b[0m\n\u001b[0;31m    dj=np.array[ufloat(,),ufloat(,),ufloat(,)]#Abgeschäzte Durchmesser des Rohres in der Mitte und an den Enden m\u001b[0m\n\u001b[0m                       ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
-     ]
-    }
-   ],
-   "source": [
-    "dj=np.array[ufloat(,),ufloat(,),ufloat(,)]#Abgeschäzte Durchmesser des Rohres in der Mitte und an den Enden m\n",
-    "abstand=np.array[ufloat(,),ufloat(,),ufloat(,),ufloat(,),ufloat(,),ufloat(,),ufloat(,),ufloat(,)]#Abgeschäzte Abstände der Messpunkte in m\n",
-    "Ai=np.array[ufloat(,),ufloat(,),ufloat(,),ufloat(,),ufloat(,),ufloat(,),ufloat(,),ufloat(,)] #Querschnitsfläche an den Messpunkten\n",
-    "delhi=np.array[ufloat(,),ufloat(,),ufloat(,),ufloat(,),ufloat(,),ufloat(,),ufloat(,),ufloat(,)]#höhe ohne ls\n",
-    "delhifinal=np.array[ufloat(,),ufloat(,),ufloat(,),ufloat(,),ufloat(,),ufloat(,),ufloat(,),ufloat(,)]#höhe bei Entgüliger umdrehungszahl"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "af58cd68-314f-4e94-b2c7-2d40c3e273df",
-   "metadata": {},
-   "source": [
-    "**V E R S U C H S B E S C H R E I B U N G**\n",
-    "\n",
-    "*Fügen Sie Ihre Versuchsbeschreibung hier ein. Löschen Sie hierzu diesen kursiv gestellten Text aus dem Dokument.* \n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "2c6e6dd8-bcfa-407c-b07e-3bb7dcf8f358",
-   "metadata": {},
-   "source": [
-    "**L Ö S U N G**\n",
-    "\n",
-    "*Fügen Sie numerische Berechnungen zur Lösung dieser Aufgabe hier ein. Löschen Sie hierzu diesen kursiv gestellten Text aus dem Dokument. Um Code-Fragmente und Skripte in [Python](https://www.python.org/), sowie ggf. bildliche Darstellungen direkt ins [Jupyter notebook](https://jupyter.org/) einzubinden verwandeln Sie diese Zelle in eine Code-Zelle. Fügen Sie ggf. weitere Code-Zellen zu.* \n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "40bfc482-5af2-4420-b5d0-1e6e92aa1607",
-   "metadata": {},
-   "source": [
-    "**D I S K U S S I O N**\n",
-    "\n",
-    "*Fügen Sie eine abschließende Diskussion und Bewertung Ihrer Lösung hier ein. Löschen Sie hierzu diesen kursiv gestellten Text aus dem Dokument.* \n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "97b7053b-f7c8-471f-bd76-01bb183198e0",
-   "metadata": {
-    "jp-MarkdownHeadingCollapsed": true,
-    "tags": []
-   },
-   "source": [
-    "### Aufgabe 1.3: Aerodynamisches Paradoxon \n",
-    "\n",
-    "Lassen Sie Druckluft axial zentrisch zwischen zwei eng aneinanderliegenden Kreisscheiben einströmen, so dass sie radial nach außen entweicht und erklären Sie Ihre Beobachtung.\n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "670ccfe4-8177-45ed-8d09-569b54a0d59a",
-   "metadata": {},
-   "source": [
-    "**V E R S U C H S B E S C H R E I B U N G**\n",
-    "\n",
-    "*Fügen Sie Ihre Versuchsbeschreibung hier ein. Löschen Sie hierzu diesen kursiv gestellten Text aus dem Dokument.* \n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ec115e19-aff5-44ec-9746-f04f9246c1e2",
-   "metadata": {},
-   "source": [
-    "**L Ö S U N G**\n",
-    "\n",
-    "*Fügen Sie numerische Berechnungen zur Lösung dieser Aufgabe hier ein. Löschen Sie hierzu diesen kursiv gestellten Text aus dem Dokument. Um Code-Fragmente und Skripte in [Python](https://www.python.org/), sowie ggf. bildliche Darstellungen direkt ins [Jupyter notebook](https://jupyter.org/) einzubinden verwandeln Sie diese Zelle in eine Code-Zelle. Fügen Sie ggf. weitere Code-Zellen zu.* \n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3526d1b3-4db3-4608-b3a8-69055dc80e2f",
-   "metadata": {},
-   "source": [
-    "**D I S K U S S I O N**\n",
-    "\n",
-    "*Fügen Sie eine abschließende Diskussion und Bewertung Ihrer Lösung hier ein. Löschen Sie hierzu diesen kursiv gestellten Text aus dem Dokument.* \n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "de3d08da-7ff9-4dae-ab9c-dd6fe791e95b",
-   "metadata": {},
-   "source": [
-    "## Aufgabe 2: Charakterisierung des Luftstroms"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "656420b1-cae2-44bf-b08a-7847276f8fc8",
-   "metadata": {},
-   "source": [
-    "### Aufgabe 2.1: Geschwindigkeitfeld \n",
-    "\n",
-    "Charakterisieren Sie das **Geschwindigkeitsfeld $v(r)$ des Luftstroms** für eine Drehzahl des Motors zur Erzeugung des Luftstrahls von $f=2600\\,\\mathrm{U/min}$.\n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d5211a23-2dcd-407a-a3ca-d75749655539",
-   "metadata": {},
-   "source": [
-    "**V E R S U C H S B E S C H R E I B U N G**\n",
-    "Es wird eine Sonde genutz bei der der Gesamtdruck als Druck parallel zum Luftstrom und der staatischer Druck als Druck senkrecht zu dem Luftstrom gemessen wird\n",
-    "Es wurde bei der bei einer festen Frequnz $f=2600 \\pm 25 \\,\\mathrm{Hz}$ mithilfe einer Sonde die Differenz zwischen dem Gesamtdruck und dem saatischen Druck bestimmt. Bei vernachlässigbaren Schweredruck entsprucht diese Differnz dem Dynamischen Druck $p_d$. Es gilt dabei das $p_d=\\frac{1}{2}\\cdot \\rho_{Luft}\\cdot v_{L}^2$ wobei $v_L$ die Geschwindigkeiten der Luft ist. Es follgt $v_L=\\sqrt{\\dfrac{2p_d}{\\rho_{Luft}}}$. \n",
-    "\n",
-    "Um das durch die Turbiene erzeugte Geschwindigkeitsfeld zu charakteriesiern wurde im jeweils 5,10,15,20 und 30 cm Abstand $d$ von der Turbine, der dynmaschie Druck und damit die Geschwindigkeit in den Abständen $r$ 0,1,2,3,3.5,4 und 5 cm von der radialen Symetrieachse deser Turbine gemessen. \n",
-    "Es wird davon aus gegangen,dass  die Turbine einen radialsymetrischen Luftstrom erzeugt. \n",
-    "\n",
-    "Follgende Werte wurden gemessen: \n",
-    "für $d=0.05\\pm 0.005  \\mathrm{m}$\n",
-    "\n",
-    "|r in m |$p_d$ in Pa bei $d=0.05\\pm 0.005  \\mathrm{m}$|\n",
-    "|-----|--------|\n",
-    "|$0\\pm0.002$|$125\\pm 4$|\n",
-    "|$0.01\\pm0.002$|$114\\pm 4$|\n",
-    "|$0.02\\pm0.002$|$112\\pm 4$|\n",
-    "|$0.03\\pm0.002$|$98\\pm 4$|\n",
-    "|$0.035\\pm0.002$|$70\\pm 4$|\n",
-    "|$0.04\\pm0.002$|$53\\pm 4$|\n",
-    "|$0.05\\pm0.002$|$21\\pm 4$|\n",
-    "\n",
-    "für $d=0.10 \\pm  0.005 \\mathrm{m}$\n",
-    "\n",
-    "|r in m |$p_d$ in Pa bei $d=0.10 \\pm  0.005 \\mathrm{m}$|\n",
-    "|-----|--------|\n",
-    "|$0\\pm0.002$|$115\\pm 4$|\n",
-    "|$0.01\\pm0.002$|$110\\pm 4$|\n",
-    "|$0.02\\pm0.002$|$107\\pm 4$|\n",
-    "|$0.03\\pm0.002$|$88\\pm 4$|\n",
-    "|$0.035\\pm0.002$|$63\\pm 4$|\n",
-    "|$0.04\\pm0.002$|$51\\pm 4$|\n",
-    "|$0.05\\pm0.002$|$26\\pm 4$|\n",
-    "\n",
-    "\n",
-    "für $d=0.15 \\pm  0.005 \\mathrm{m}$\n",
-    "\n",
-    "|r in m |$p_d$ in Pa|\n",
-    "|-----|--------|\n",
-    "|$0\\pm0.002$|$113\\pm 4$|\n",
-    "|$0.01\\pm0.002$|$104\\pm 4$|\n",
-    "|$0.02\\pm0.002$|$100\\pm 4$|\n",
-    "|$0.03\\pm0.002$|$80\\pm 4$|\n",
-    "|$0.035\\pm0.002$|$59\\pm 4$|\n",
-    "|$0.04\\pm0.002$|$50\\pm 4$|\n",
-    "|$0.05\\pm0.002$|$30\\pm 4$|\n",
-    "\n",
-    "für $d=0.2 \\pm  0.005 \\mathrm{m}$\n",
-    "\n",
-    "|r in m |$p_d$ in Pa|\n",
-    "|-----|--------|\n",
-    "|$0\\pm0.002$|$110\\pm 4$|\n",
-    "|$0.01\\pm0.002$|$101\\pm 4$|\n",
-    "|$0.02\\pm0.002$|$95\\pm 4$|\n",
-    "|$0.03\\pm0.002$|$73\\pm 4$|\n",
-    "|$0.035\\pm0.002$|$55\\pm 4$|\n",
-    "|$0.04\\pm0.002$|$50\\pm 4$|\n",
-    "|$0.05\\pm0.002$|$33\\pm 4$|\n",
-    "\n",
-    "für $d=0.3 \\pm  0.005 \\mathrm{m}$\n",
-    "\n",
-    "|r in m |$p_d$ in Pa|\n",
-    "|-----|--------|\n",
-    "|$0\\pm0.002$|$105\\pm 4$|\n",
-    "|$0.01\\pm0.002$|$95\\pm 4$|\n",
-    "|$0.02\\pm0.002$|$84\\pm 4$|\n",
-    "|$0.03\\pm0.002$|$63\\pm 4$|\n",
-    "|$0.035\\pm0.002$|$51\\pm 4$|\n",
-    "|$0.04\\pm0.002$|$48\\pm 4$|\n",
-    "|$0.05\\pm0.002$|$35\\pm 4$|\n",
-    "\n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "c292d9ca-11e7-4e75-a687-067d52dc23bb",
-   "metadata": {},
-   "source": [
-    "**L Ö S U N G**\n",
-    "\n",
-    "Die Betrachtung der Geschwindigkeitsverteilung legt nahe, dass die Zukünftigen Messungen bei r=0cm genommen werden solten. Auch lässt ablesen dass die Werte für $r \\approx 0$ in den Abständen d ist zwischen 0 und 20 cm relativ konstant ist. In diesen Abständen von der Düse variert $v_L$ auch für Abstände von der Symetrieachse r=0 cm, von bis zu 2cm nur gering. \n",
-    "\n",
-    "Alle weiteren Messungen wurden desewegen bei ($ r\\approx 0\\,\\mathrm{cm}\\ ,\\ d\\approx 15\\,\\mathrm{cm}$) durchgeführt.\n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "id": "8f94318d-1665-49d7-a36a-d4012b113935",
-   "metadata": {},
-   "outputs": [
-    {
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-       "\n",
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-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>$r\\mathrm{[m]} $</th>\n",
-       "      <th>$p_d(d=5 \\pm 0.5 \\,\\mathrm{cm}) $</th>\n",
-       "      <th>$p_d(d=10 \\pm 0.5 \\,\\mathrm{cm}) $</th>\n",
-       "      <th>$p_d(d=15 \\pm 0.5 \\,\\mathrm{cm}) $</th>\n",
-       "      <th>$p_d(d=20 \\pm 0.5 \\,\\mathrm{cm}) $</th>\n",
-       "      <th>$p_d(d=30 \\pm 0.5 \\,\\mathrm{cm}) $</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>$0.000 \\pm 0.002$</td>\n",
-       "      <td>$125.000 \\pm 4.243$</td>\n",
-       "      <td>$115.000 \\pm 4.243$</td>\n",
-       "      <td>$113.000 \\pm 4.243$</td>\n",
-       "      <td>$110.000 \\pm 4.243$</td>\n",
-       "      <td>$105.000 \\pm 4.243$</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>$0.010 \\pm 0.002$</td>\n",
-       "      <td>$114.000 \\pm 4.243$</td>\n",
-       "      <td>$110.000 \\pm 4.243$</td>\n",
-       "      <td>$104.000 \\pm 4.243$</td>\n",
-       "      <td>$101.000 \\pm 4.243$</td>\n",
-       "      <td>$95.000 \\pm 4.243$</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>$0.020 \\pm 0.002$</td>\n",
-       "      <td>$112.000 \\pm 4.243$</td>\n",
-       "      <td>$107.000 \\pm 4.243$</td>\n",
-       "      <td>$100.000 \\pm 4.243$</td>\n",
-       "      <td>$95.000 \\pm 4.243$</td>\n",
-       "      <td>$84.000 \\pm 4.243$</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>$0.030 \\pm 0.002$</td>\n",
-       "      <td>$98.000 \\pm 4.243$</td>\n",
-       "      <td>$88.000 \\pm 4.243$</td>\n",
-       "      <td>$80.000 \\pm 4.243$</td>\n",
-       "      <td>$73.000 \\pm 4.243$</td>\n",
-       "      <td>$63.000 \\pm 4.243$</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>$0.035 \\pm 0.002$</td>\n",
-       "      <td>$70.000 \\pm 4.243$</td>\n",
-       "      <td>$63.000 \\pm 4.243$</td>\n",
-       "      <td>$59.000 \\pm 4.243$</td>\n",
-       "      <td>$55.000 \\pm 4.243$</td>\n",
-       "      <td>$51.000 \\pm 4.243$</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>$0.040 \\pm 0.002$</td>\n",
-       "      <td>$53.000 \\pm 4.243$</td>\n",
-       "      <td>$51.000 \\pm 4.243$</td>\n",
-       "      <td>$50.000 \\pm 4.243$</td>\n",
-       "      <td>$50.000 \\pm 4.243$</td>\n",
-       "      <td>$48.000 \\pm 4.243$</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>$0.050 \\pm 0.002$</td>\n",
-       "      <td>$21.000 \\pm 4.243$</td>\n",
-       "      <td>$26.000 \\pm 4.243$</td>\n",
-       "      <td>$30.000 \\pm 4.243$</td>\n",
-       "      <td>$33.000 \\pm 4.243$</td>\n",
-       "      <td>$35.000 \\pm 4.243$</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    $r\\mathrm{[m]} $ $p_d(d=5 \\pm 0.5 \\,\\mathrm{cm}) $  \\\n",
-       "0  $0.000 \\pm 0.002$               $125.000 \\pm 4.243$   \n",
-       "1  $0.010 \\pm 0.002$               $114.000 \\pm 4.243$   \n",
-       "2  $0.020 \\pm 0.002$               $112.000 \\pm 4.243$   \n",
-       "3  $0.030 \\pm 0.002$                $98.000 \\pm 4.243$   \n",
-       "4  $0.035 \\pm 0.002$                $70.000 \\pm 4.243$   \n",
-       "5  $0.040 \\pm 0.002$                $53.000 \\pm 4.243$   \n",
-       "6  $0.050 \\pm 0.002$                $21.000 \\pm 4.243$   \n",
-       "\n",
-       "  $p_d(d=10 \\pm 0.5 \\,\\mathrm{cm}) $ $p_d(d=15 \\pm 0.5 \\,\\mathrm{cm}) $  \\\n",
-       "0                $115.000 \\pm 4.243$                $113.000 \\pm 4.243$   \n",
-       "1                $110.000 \\pm 4.243$                $104.000 \\pm 4.243$   \n",
-       "2                $107.000 \\pm 4.243$                $100.000 \\pm 4.243$   \n",
-       "3                 $88.000 \\pm 4.243$                 $80.000 \\pm 4.243$   \n",
-       "4                 $63.000 \\pm 4.243$                 $59.000 \\pm 4.243$   \n",
-       "5                 $51.000 \\pm 4.243$                 $50.000 \\pm 4.243$   \n",
-       "6                 $26.000 \\pm 4.243$                 $30.000 \\pm 4.243$   \n",
-       "\n",
-       "  $p_d(d=20 \\pm 0.5 \\,\\mathrm{cm}) $ $p_d(d=30 \\pm 0.5 \\,\\mathrm{cm}) $  \n",
-       "0                $110.000 \\pm 4.243$                $105.000 \\pm 4.243$  \n",
-       "1                $101.000 \\pm 4.243$                 $95.000 \\pm 4.243$  \n",
-       "2                 $95.000 \\pm 4.243$                 $84.000 \\pm 4.243$  \n",
-       "3                 $73.000 \\pm 4.243$                 $63.000 \\pm 4.243$  \n",
-       "4                 $55.000 \\pm 4.243$                 $51.000 \\pm 4.243$  \n",
-       "5                 $50.000 \\pm 4.243$                 $48.000 \\pm 4.243$  \n",
-       "6                 $33.000 \\pm 4.243$                 $35.000 \\pm 4.243$  "
-      ]
-     },
-     "execution_count": 51,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "f=ufloat(2600,25)\n",
-    "unc=3\n",
-    "ofset=ufloat(30,3)\n",
-    "r=np.array([ufloat(0,0.002),ufloat(0.01,0.002),ufloat(0.02,0.002),ufloat(0.03,0.002),ufloat(0.035,0.002),ufloat(0.04,0.002),ufloat(0.05,0.002)])#Abstand con der Düse in m\n",
-    "pdd0=np.array([ufloat(155,unc),ufloat(144,unc),ufloat(142,unc),ufloat(128,unc),ufloat(100,unc),ufloat(83,unc),ufloat(51,unc)])#dynamischerdruck bei d=0.05+-0.005m\n",
-    "pdd1=np.array([ufloat(145,unc),ufloat(140,unc),ufloat(137,unc),ufloat(118,unc),ufloat(93,unc),ufloat(81,unc),ufloat(56,unc)])#dynamischerdruck bei d=0.10+-0.05m\n",
-    "pdd2=np.array([ufloat(143,unc),ufloat(134,unc),ufloat(130,unc),ufloat(110,unc),ufloat(89,unc),ufloat(80,unc),ufloat(60,unc)])#dynamischerdruck bei d=0.15+-0.005m\n",
-    "pdd3=np.array([ufloat(140,unc),ufloat(131,unc),ufloat(125,unc),ufloat(103,unc),ufloat(85,unc),ufloat(80,unc),ufloat(63,unc)])#dynamischerdruck bei d=0.2+-0.005m\n",
-    "pdd4=np.array([ufloat(135,unc),ufloat(125,unc),ufloat(114,unc),ufloat(93,unc),ufloat(81,unc),ufloat(78,unc),ufloat(65,unc)])#dynamischerdruck bei d=0.3+-0.005m\n",
-    "\n",
-    "pdd0f=pdd0-ofset\n",
-    "pdd1f=pdd1-ofset\n",
-    "pdd2f=pdd2-ofset\n",
-    "pdd3f=pdd3-ofset\n",
-    "pdd4f=pdd4-ofset\n",
-    "\n",
-    "rhoLuft=ufloat(1.204,0.01)#Dichte von Luft unter \"normalen\" Bedingungen\n",
-    "vd0=(pdd0f*(2/rhoLuft))**(0.5)\n",
-    "vd1=(pdd1f*(2/rhoLuft))**(0.5)\n",
-    "vd2=(pdd2f*(2/rhoLuft))**(0.5)\n",
-    "vd3=(pdd3f*(2/rhoLuft))**(0.5)\n",
-    "vd4=(pdd4f*(2/rhoLuft))**(0.5)\n",
-    "\n",
-    "\n",
-    "pd.DataFrame({\"$r\\mathrm{[m]} $\":utl(r),\n",
-    "              \"$p_d(d=5 \\pm 0.5 \\,\\mathrm{cm}) $\":utl(pdd0f),\n",
-    "              \"$p_d(d=10 \\pm 0.5 \\,\\mathrm{cm}) $\":utl(pdd1f),\n",
-    "              \"$p_d(d=15 \\pm 0.5 \\,\\mathrm{cm}) $\":utl(pdd2f),\n",
-    "              \"$p_d(d=20 \\pm 0.5 \\,\\mathrm{cm}) $\":utl(pdd3f),\n",
-    "              \"$p_d(d=30 \\pm 0.5 \\,\\mathrm{cm}) $\":utl(pdd4f)})\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 49,
-   "id": "22530e5c-4b41-4f63-b0f8-ffe082b1a767",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.errorbar([y.n for y in r],[x.n for x in vd0],[x.s for x in vd0],[y.s for y in r],marker='x', linestyle='None',label=\"Abstand $5\\pm 0.5 cm$\") \n",
-    "plt.errorbar([y.n for y in r],[x.n for x in vd1],[x.s for x in vd1],[y.s for y in r],marker='x', linestyle='None',label=\"Abstand $10\\pm 0.5 cm$\")\n",
-    "plt.errorbar([y.n for y in r],[x.n for x in vd2],[x.s for x in vd2],[y.s for y in r],marker='x', linestyle='None',label=\"Abstand $15\\pm 0.5 cm$\") \n",
-    "plt.errorbar([y.n for y in r],[x.n for x in vd3],[x.s for x in vd3],[y.s for y in r],marker='x', linestyle='None',label=\"Abstand $20\\pm 0.5 cm$\") \n",
-    "plt.errorbar([y.n for y in r],[x.n for x in vd4],[x.s for x in vd4],[y.s for y in r],marker='x', linestyle='None',label=\"Abstand $30\\pm 0.5 cm$\") \n",
-    "plt.ylabel(r'$V_L [ms^{-1}]$')\n",
-    "plt.xlabel('r [m]')\n",
-    "plt.legend()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "id": "e617f85b-ee9e-4369-abb2-0ccc34fec19c",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig = plt.figure()\n",
-    "ax = fig.add_subplot(projection='3d')\n",
-    "\n",
-    "\n",
-    "xs=np.ones(len(vd0))\n",
-    "ax.scatter(xs*0.05, [y.n for y in r], [z.n for z in vd0],c='blue')\n",
-    "ax.scatter(xs*0.10, [y.n for y in r], [z.n for z in vd1],c='blue')\n",
-    "ax.scatter(xs*0.15, [y.n for y in r], [z.n for z in vd2],c='blue')\n",
-    "ax.scatter(xs*0.20, [y.n for y in r], [z.n for z in vd3],c='blue')\n",
-    "ax.scatter(xs*0.35, [y.n for y in r], [z.n for z in vd4],c='blue')\n",
-    "\n",
-    "ax.set_xlabel('d [m]')\n",
-    "ax.set_ylabel('r [m]')\n",
-    "ax.set_zlabel(r'v [$ms^{-1}$]')\n",
-    "\n",
-    "plt.title(r'v [$ms^{-1}$]')\n",
-    "\n",
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "from mpl_toolkits.mplot3d import Axes3D\n",
-    "\n",
-    "\n",
-    "rn=[y.n for y in r]\n",
-    "# Erzeuge X-Koordinaten für jede Ebene\n",
-    "xs = [0.05, 0.10, 0.15, 0.20, 0.35]\n",
-    "X, Y = np.meshgrid(xs, rn)\n",
-    "\n",
-    "# Z-Werte als Matrix organisieren\n",
-    "Z = np.array([\n",
-    "    [z.n for z in vd0],\n",
-    "    [z.n for z in vd1],\n",
-    "    [z.n for z in vd2],\n",
-    "    [z.n for z in vd3],\n",
-    "    [z.n for z in vd4]\n",
-    "]).T  # Transponiere, damit die Dimensionen passen\n",
-    "\n",
-    "# Plot\n",
-    "fig = plt.figure()\n",
-    "ax = fig.add_subplot(projection='3d')\n",
-    "\n",
-    "# Fläche zeichnen\n",
-    "ax.plot_surface(X, Y, Z, cmap='Blues', alpha=0.85)\n",
-    "# Achsen und Titel\n",
-    "ax.set_xlabel('d [m]')\n",
-    "ax.set_ylabel('r [m]')\n",
-    "ax.set_zlabel(r'v [$ms^{-1}$]')\n",
-    "plt.title(r'v [$ms^{-1}$]')\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d4b5a2ba-bbae-4212-a814-a5b6a8b36ab4",
-   "metadata": {},
-   "source": [
-    "### Aufgabe 2.2\n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "f6773107-d596-42d5-9194-37bb5b22be41",
-   "metadata": {},
-   "source": [
-    "**V E R S U C H S B E S C H R E I B U N G**\n",
-    "\n",
-    "Wie bei 2.1 wurde die Geschwindigkeit ds Luftstroms bestimmt jedoch außschlißlich an (r=0cm,d=15cm), es wurde die dabei die Frequenz des Motors in der Turbine geändert. Es wird debei dass die Windgeschwindigkeit liniar mit der Frequenz zunimmt wobei aber die Luft erst ab einem gewissen Wert von f durch die Turbine Beschleunigt wird. Es wird daher angenomen $v_L=a(f-b)$. \n",
-    "\n",
-    "Man erhält follgende Messwerte:\n",
-    "\n",
-    "\n",
-    "|f in Hz |$p_d$ in Pa|\n",
-    "|---|---|\n",
-    "|$605\\pm 10$|$4\\pm 4$|\n",
-    "|$796\\pm 10$|$9\\pm 4$|\n",
-    "|$1002\\pm 10$|$15\\pm 4$|\n",
-    "|$1203\\pm 10$|$22\\pm 4$|\n",
-    "|$1407\\pm 10$|$33\\pm 4$|\n",
-    "|$1602\\pm 10$|$42\\pm 4$|\n",
-    "|$1804\\pm 10$|$55\\pm 4$|\n",
-    "|$1990\\pm 10$|$68\\pm 4$|\n",
-    "|$2203\\pm 10$|$83\\pm 4$|\n",
-    "|$2401\\pm 10$|$100\\pm 4$|\n",
-    "|$2608\\pm 10$|$119\\pm 4$|\n",
-    "\n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d02ebf17-97f8-438b-b221-b0226c775785",
-   "metadata": {},
-   "source": [
-    "**L Ö S U N G**\n",
-    "\n",
-    "Als Modellfür die Geschwindigkeit in Abhängigkeit von der Frquenz erhalten wir:\n",
-    "\n",
-    "$v_L=(0.0056 \\pm 0.0002 \\,\\mathrm{m})\\cdot(f-(113\\pm 86 \\,\\mathrm{Hz}))$.\n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "ddef56e4-78c3-4d53-a229-6a67a047d485",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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+e/YssrOzrWZXAYBarTafh4iovqhTCamlS5fi8OHDWL16NRQKRaWOnTdvHtzc3MwPrt0mIiKqX0oLlxec2weTuvB2+x0zpEYPf84qySQIAt6fMgaQSKAMbAXnVl0hVdXtWVEPO5lMhm3btuG///3vfZetDR8+HEBJzZ87v7DMz8/H7NmzLcYAJbvEAcAnn3xikZxITU3FF198UeY1xo8fD5lMhokTJ5ZZ1Do3N7daEjs1db3o6GgIgoCNGzdCo9GY269cuVLua66MV155BQDwj3/8w+L86enp1XL+O0VERAAoSR7Onz8fTZo0sejft29fmQkpBwcHREREIC0trdxz79+/HwDKTEhl/L1bZen1iYjqgzqTkLp8+TJmzpyJd955B507d6708dOnT0deXp75wR0uiIiI6g+TTo2ii0egST4PiCYAJcv21NdOoeDMXpj+Tkr17P4IPp83zby8RiaT4fP50/DEU/3g0ronlHcVNKfaq0OHDhg0aBACAwPvOa5bt26YOHEi4uLiEBERgcmTJ2PSpEmIiIhAXFwc3n77bYsEQ48ePTBy5EicPn0arVu3xrvvvosJEyagbdu26NSpU5nXiIiIwPLlyxEfH4/mzZvjueeew7Rp0zBu3Dj07dsX3t7eWLFiRbW99uq+np+fH1588UVcvHgR7dq1w7vvvothw4YhKioKjz/++APH+8QTT+CVV17B8ePH0bp1a0ydOhUTJ05EmzZt0KFDBwCwmMX0IAICAuDm5oYePXpgwoQJFn0pKSlISkoqM6EEAAMGDMDZs2fLPfe+ffsQGhpqLmB+pwsXLsDDw8M8e42IqD6o1UXNK8pkMmHEiBHw9fXFnDlzqnQOhUJR6VlVRERE9PC7u3A5ABgKsqFOOAGTtmSGiybxDBybtAdQkpRq6O6GjFtZaOjuhidfHQWFTxgEoc58z0d3WbZsGaKiovD111/j22+/BVCytGv27Nll7uy8cuVKNGvWDCtXrsQ///lP+Pv7Y8qUKXjhhRfwyy+/lHmN119/HW3btsXixYuxf/9+bNu2DW5ubggMDMTkyZMtZmFVh+q+3urVq9GoUSNs2rQJX331FZo3b45vv/0Wvr6++Pnnnx843nXr1iE8PBxr1qzBl19+CX9/f0yaNAmPP/44tm/ffs9ll5XVsWNHrFixwiq5XF79qFJvvvkmFi5ciOTk5DITnQcOHMCTTz5Z5rF//PEHxo0bZ052ExHVB4JYnRUSa1DpLntr167FiBEjLPqWLl2KKVOmYM+ePRZTaGNiYtCzZ0+8+eab+Oabbyp1vfz8fLi5uSEvL69a/8ARERFR7SAaDVAnnbOoFSWaTNCmXoQ27crtgX8XKJc3CjJ/QO07YAwybmWhsa8vjpZRN6c6PGzvRTr7+yM9NRXefn44cv26vcOhemLVqlV4/fXXsXz5cowbN65GrzV69Gi4urpiyZIl5Y5ZtGgRUlNTsXTp0gqfNyEhAU8++SROnDhh3m2PiKg+qBNf5Z06dQqiKKJnz54QBMH86NmzJwCYv+EYNGiQfQMlIiKiWsFQlGtVuNxYnI/C8/stklGlBcodvIJvz5aQSCBIS2YxcHkekW2kp6db7WSXmpqKOXPmQCqV4umnn67xGPbt24elS5dafN4QBAFffvmleczUqVORkJBQbgH7u+l0OkycOBE//fQTk1FEVO/UiTmh3bt3L3N6640bN7Bjxw6Eh4fjscceM++SQkRERPWTKIrQ3oiHJuXC7VpRoghdeoJFGwQBCr9wKO6qCSV1agDHsGhzQopuGz1lCgrz8+H8EMzmoofP/Pnz8euvv6Jr167w8vJCcnIyfvnlFxQUFGDWrFk22ZAoPj7+vmMEQcCmTZvwwQcfwNnZ+Z6fP7RaLaZNm4Z58+aZdxIkIqpP6sS7qZEjR5a5fj8mJgY7duxA9+7dK71kj4iIiOoWk06N4oQTMOTdMreJoojiy3/CkJtubpOoXOAY1g5SJ7fbBwsSKP2b/52gkjD5UoYxU6bYOwSqw/r164e4uDj8+uuvyMnJgVKpRGRkJMaPH4+XX37Z3uFZUKlUWLx4MWJjY+85LjU1FbNmzUKDBg1sExgRUS1TqxNSq1atwsGDBwHAvGPFqlWrEBMTAwAYNGgQl+ERERHRfZVVuBwomc0gd29sTkg5eIdBGdACgkRqHiN1coNjaLRFgorJFyLb6tevH/r162fvMCqlXbt29+wPDQ21USRERLVTrU5IHTx4EN99951F26FDh3Do0CEAQHBwMBNSREREVK6yCpffTd4oCMaiPMg9/CBz9bzdIUig9GsGhV8z7qBHREREVM0eml32bO1h29mGiIiILBkKc1CcEAuTutDcps9Jh7EwB8qAFvc8VuroBscwy1lRtsb3IkRERFSX1eoZUkRERESVJYoitGlXoLl+8Xbh8r9nSulvJQEApC4NIW/Q2PpgQYDStxkUfs0hSDgrioiIiKimMCFFREREdYZJq0ZxQiwM+ZnmNkNBNtQJsTBpi81t+uw0q4SU1NEVqrBoyJwa2CpcIiIionqLCSkiIiKqE/TZaX8XLtcDAESTCdrUi9CmXbk9SCKFKigC8kZBt9sEAQrfplD6hXNWFBEREZGNMCFFRERED7WS5XhnoctIMrcZi/NRnHACpuI8c5vU2R2qsGhIlc6321SuUIVFQebsbtOYiYiIiOo7JqSIiIjooWUozEFxfCxMmpLC5aIoQpeeAE3KBXP9KAgCFH7hUPg2ub1bniBA4dMESv9wCBKpnaInIiIiqr+YkCIiIqKHTlmFy0vpc9LNbRKVy9+75TUw90tUznAMa8dZUURERER2xIQUERERPVRM2mIUJ5ywKFxeShAEOIZFo+DsXjg0CoIyoIXFDCiFTxOrNiIiIiKyPSakiIiI6KGhy0qF+uopiMaSwuUmvRaiXgupo6t5jEThCJc2T0AiV9xuUzrDMSwKMhcPm8dMRERERNaYkCIiIqJaTzToSwqX30o2t+lzb0J99SQgkcKldQ8IUrm5785klMI7rGRWlJRve4iIiIhqC74zIyIiolrNUJCN4vjjMGmLAZTsqqdJPg9dRqJ5jCblIlTBrS2Okyid4BgaBZmrpy3DJSIiIqIKYEKKiIiIaiVRNEGbehma1EuAKAIoSU6pE07ApC0yj5O5eUHh29TiWEXjECgDW3FWFBEREVEtxXdpREREVOuYtMUojj8OQ0E2AEA0maBNvQRt2uXbgyRSKAMj4OAVBEEQSpoUjnAMi+asKCIiIqJajgkpIiIiqlV0t1KgTjxjLlxuLM5HccIJmIrzzGOkzu5QhUVDqnQ2tzl4BUMVFMFZUUREREQPAb5jIyIiolpBNOhRfO009FnXb7cZ9SiMOwj8nZyCIEDhFw6FbxMIggQAIHFQQRUWBbmblz3CJiIiIqIqkNg7ACIiIiJDfhYKzu61SEYBgCCVQ+nfHAAgUbnAuVU3KP2amZNRDl5BcInsxWQU3VNCQgIEQcDMmTMt2mNjYyGTybBo0SI7RUZERFR/cYYUERER2Y0omqC5fhHatCuAKEL8u3h5aU0oAHBoHAoIEjg0CoQgkQL4e1ZUaFvIGzS2S9x1Sf6J35B/8rf7jnNoFASvAe9YtGVs+wK6W0n3PdY1qi9co/uan5t0aqT964NKH1dVoaGhcHJyQlxcnLlNr9dj1KhR6NixI959990HvgYRERFVDhNSREREZBOrFi9GYX4+nF1dMWbKFBg1hSiOj4WxMAcAYNJrob52GhKFI1RBEebjBEGAonGI+blDo0CoglpDkMlt/hrqIpNObf4d3IvRuaF1m7qgQseadGrLBhFVO66KBEFAixYtcOHCBXPbvHnzcOXKFZw6dQoSScmMu+DgYHzxxRcYOHBgtVyXiIiIyseEFBEREdnE6sWLkZ6aCm8/P7z26hCoE89CNBkAAPrcm1BfPQlRrwUAyN29rXbKE+QKOIa2hdzdx+ax12USBxWkzu73HSdVuZTZVpFjJQ4qywYBVTvuAbRq1Qo//PAD9Ho9Ll++jLlz52L+/Plo1qwZACApKQkpKSno1q1btV2TiIiIyseEFBEREdmUaNCh+OrJkp+NBmiSz0OXkWjuF2QOEI0Gi2PkHv5QhURCInOwZaj1gmt01ZfF3b2Er6IkDir4j15cpWOrKiIiAgaDARcuXMDrr7+Ojh074p13bscfExODyMhIuLvfP1FGRERED44JKSIiIrIJUTSV/K+p5H8NBdlQJ5yASVtkHiNr0BiqkLaQOCgB/D0rKqQN5A19bR8w1SmtWrUCAEyYMAHnzp3D6dOnzUv1gJKEVI8ePewUHRERUf3DhBQRERHVKNFkgiYlDqJeV9oCTUpcSSHzUhIplIERcPAKMhc0l3v4QRUcCYlcYfugqc6JiCipS3bgwAEsW7YMTZo0sejft28flixZYo/QiIiI6iUmpIiIiKjGGIvzURwfiz927kZ2Ti4AIDs7F3/s+gNdI4MAlNQSUoVFQ6p0BlCyZE8V0gYOHn72CpvqoICAALi5uSEqKgoTJkyw6EtJSUFSUhLrRxEREdmQ5P5DiIiIiCpPm34Vhef24Y+duzHl/+bDYDACAAxGEz5auxcHziZD4d8CTi27mJNRcncfuET2YjKKakTHjh2xZs0a8yy8UqwfRUREZHucIUVERETVyqTXQp1wAvrcmwCA1d9tthojisDGQ4l4ekzJDmeCTA5VUCQcGgXYNFaqX3bv3l1mO+tHERER2R5nSBEREVG10eeko+DMHuhzb0IURehupSDhWnKZY68mpQEA5A0al8yKYjKK7GTfvn1YunQpBEGweHz55Zf2Do2IiKjO4gwpIiIiemCiyQhN0jlob14DAJj0OqgTT8OQnYbgxg1wMSnD6piw0EA4hkbBwSvI1uESWYiPj7d3CERERPUOZ0gRERHRAzEW5aHwbIw5GaXPvYnCs3tgyC6ZAfXK462savYIgoAJs/7BZBQRERFRPcUZUkRERFQloihCeyMempQLgGiCaDRAk3weuoxE8xhBJkffZ5+DU7NH8P7Mz2AwGCCTy/HVTz+hz8CB9gueiIiIiOyKCSkiIiKqNJNWjeKrJ2DIuwUAMBRkQ51wAiZtkXmMzM0LqtAoSByU6NndFw093JFx8xY8vbyYjCIiIiKq55iQIiIiokrRZaVCfe0URIMeoskEbeolaNMu3x4gkUIZGAEHr6CS4tASKZSBLSGROdgvaCIiIiKqVZiQIiIiogoRjQaoE89Ad+v2rnkmTSG0N66Yn0ud3aEKi4ZU6fz384ZwDIuGVOVs83iJiIiIqPZiQoqIiIjuy1CQjeKEWJg0RRbtUkdXKPzCoU29CIVfcyh8m0IQJIBEAqV/Cyh8mlgVNCciIiIiYkKKiIiIyiWKJmhTL0OTegkQRZi0aghyBQTJ7Y16Fb5NIHf3htTRFQAgdWpQMivq7+dERERERHdjQoqIiIjKZNQUoTg+FsbCbIiiCH3WdagTz0DhHQalf7h5nCBISpJPggRK/ztmSd1l9JQpKMzPh7MrE1VERERE9R0TUkRERGRFdysZ6sQzEI0GmPQ6qBNPw5CdBgDQpl6GrEFjyJzdzeOljm4ls6Kc3Mo955gpU2o8biIiIiJ6ODAhRURERGYmgw7qa6ehz0oFAOhzb0J99SREvdY8Ru7hZy5aDkGAwrcplH7hFsv4iIiIiIjuhQkpIiIiAgDo8zKgTjgJk04N0WiAJvk8dBmJ5n5BJocquC3kHr4AAKnKBaqwaIuZUkREREREFcGEFBERUT0nmkzQpMRBeyMeQMmOeuqEEzBpb++oJ3Pzgio0ChIHJQBA4dMUyoBwCBKpXWImIiIioocbE1JERET1mLE4H8Xxx2EszgcA6HMzUHzpyO0BEimUga3g4BUMQRAgUTrBMTQaMlcPO0VMRERERHUBE1JERET1kCiK0N28CnXyecBkMrfLXD0gUbnCpM6H1NkdqrBoc70ohXcolAEtIUj59qEuyT26xd4hlKtBp0H2DoGIiIhqCN9REhER1TMmnRrFCSdhyMuw6hMkUjg2iYY+Jx0K36YQBAkkCkeoQqMgd2tkh2iJ6raUlBQEBATYOwwiIiKb43Y4RERE9Yg+Ow0FZ/bCkJcBk1aNoktHzcv1Skkd3aD0aw5BkMDBKwgurXsyGUVUzc6fP48hQ4age/fu9g6FiIjILjhDioiIqB4QjQaoE89AdysZoihCn3Ud6sQzgNGAYp0Gzq26QZDc/p5K4qCEKqQt5O7edoyaqG4aN24cvv32W8hkMvj4+Ng7HCIiIrvgDCkiIqI6zlCQjYKze6G7lQyTXofi+ONQJ5wAjAYAgGjQwqQtNo938PSHc2QvJqOIquCPP/5ATk7OPcdkZWVh586deOmll2wUFRERUe3DhBQREVEdJYomaK5fRGHcAZg0RdDn3kTh2T0wZKeZx8g9/OHSuhekKmcIcgWcmnWEY5P2kMgc7Bg50cOrd+/eOH369D3HbNq0CX369LFRRERERLUTE1JERER1kFFTiMLzB6G5fhGiQQ/1tdMovnQUol4LABBkcjg26QDHJu0gyOSQN/SBS2QvyBv62jlyouqXkJAAQRAwc+ZMi/bY2FjIZDIsWrTITpHd382bNzF16lSEhYVBKpVCEASLh0wmQ2Fhob3DJCIiqrRanZBav3493nzzTbRv3x4KhQKCIGDdunVW4/R6PX7++WeMGDECLVq0gJOTE1xcXPDII49g+fLlMBqNtg+eiIjITrQZiSg8EwNjYTYMhTkoPBsDXUaiuV/m5gXn1r0g9/D9OzHVDk7NHoFErrBbzEQ1KTQ0FE5OToiLizO36fV6jBo1Ch07dsS7775rx+jKd+TIEURERODgwYN466230KNHDwBAeHg4Vq5ciZUrV+KHH36As7OzfQMlIiKqglpd1HzmzJlISkqCp6cnfHx8kJSUVOa4hIQEPPfcc3BxcUGvXr0wYMAA5OXlYfv27Xjrrbewa9cubN26FYIg2PgVEBER2Y5Jr4X62inos2/cbhRFmLRFJT9LpFAGtoKDV3DJzIoGjeEY2hYSB5V9AiayEUEQ0KJFC1y4cMHcNm/ePFy5cgWnTp2C5O+C/sHBwfjiiy8wcODA+55TFEUUFRWV2adWq61mLSmVSshkFX/rnZGRgYEDB6J///5Yu3YtBEHAO++8gyFDhmDr1q0ICwtDz549K3w+IiKi2qZWz5BatWoVEhMTcevWLYwdO7bccS4uLli+fDnS09OxZcsWLFiwAN988w0uX76M9u3bY/v27di8ebMNIyciIrKtkvpQey2TUQBkLg2h8G0KqZM7nFv3gKJxCCQyOVQhbeEc3pnJKKo3WrVqhfj4eOj1epw/fx5z587F3Llz0axZMwBAUlISUlJS0K1btwqdLykpCS4uLlYPAHjqqaes2tevX1+peBcsWACj0YilS5eav1SVSqVYsGABAOC3336r1PmIiIhqm1o9Q+qJJ56o0Dg/Pz+MGzfOqt3JyQlTpkzByy+/jH379uH555+v7hCJiIjsSjQaoEk+D+3NaxBFEfrsVMgb+lnMClb4hUPhDwiCBDJXTziGRUOicLRj1ES2FxERAYPBgAsXLuD1119Hx44d8c4775j7Y2JiEBkZCXd39wqdz8fHBwcOHLBq79q1K5YtW4aoqCiL9tLEV0Vt2LAB/fr1Q4MGDayuCwAKBZfYEhHRw61WJ6Sqg1wuB4D7TpHWarXQarXm5/n5+TUaFxERUWWsWrwYhfn5cHZ1xZgpUwAAxqI8FMcfh1FdAJNWjeKrJ2DMz4QYoIbCt6n5WEEigSCRQhnQEg7eoVzCTvVSq1atAAATJkzAuXPncPr0afNSPaAkIVVao6kiFAoFunTpUmZf69aty+2riMzMTKSnpyM4ONiq78iRIwBKdvMjIiJ6mNX5hNSaNWsA4L5b686bNw+zZ8+2RUhERESVtnrxYqSnpsLbzw+jJ0+GNu1KyQ56JiP0WdehTjwDGA0AAM31i5B7BkDioAQASJ3d4RjWDlIVCx9T/RUREQEAOHDgAJYtW4YmTZpY9O/btw9LliyxR2hWnJycIJFIcP78eYt2jUaDadOmoXv37g+U8CIiIqoNanUNqQf17bffYufOnejVqxeeeuqpe46dPn068vLyzI+UlBQbRUlERFQZIoouHIImJQ4mnQbq+ONQJ5wwJ6MEByWcmj9SkowSJFAGtIRzq65MRlG9FxAQADc3N/To0QMTJkyw6EtJSUFSUlKF60fdi1QqfeBZiCqVCo8//ji2bduGjz/+GEeOHMHmzZvRtWtXZGVl4bvvvnvgOImIiOytzs6Q+vXXXzFhwgQEBQVVqIikQqHgWnwiIqr1THotDPmZ0OfehPrqSYj628vN5R7+UAVHQpDJIXV0g2NYNKRObnaMlh4GDToNsncINtOxY0esWLHCKmFU2fpRAGAymcos8ZCZmQkAyM3NtWh3dHSEg4NDhc+/evVqDBs2DJ988gk++eQTKJVKPPfcc9i2bZu5jhQREdHDrE4mpH777TcMGTIEjRs3xp49e/hHm4iIHmomgw6iQV/yRBShvnYauoxEc78gk0MV3AZyDz9AEKDwbQqlXzgESZ2eCE1Uabt37y6zvbL1owAgOTkZISEhFR6/du1ajBgxwqJt3bp15Y4PCAhATEwMsrKykJWVhYCAAKhU3BWTiIjqjjqXkNq1axcGDx4MT09P7N27F6GhofYOiYiIqMr0eRlQJ5yEaDICKNlV785klMzNC6rQtpA4qCBROcMxrB1kzhWf5UFEJfWjEhISsHTpUov2ZcuWYeLEiWUeU94ue+Wp7C57pTw8PODh4VGlY4mIiGqzOpWQ2rVrFwYNGoSGDRti7969VsUqiYiIHhaiyQhNShy0NxKwd98xZOfkAgBy8otw6OJNPNbSF8rAVnDwCoYgCFB4h0EZ0AKCtE79aSeyifj4+Eofc69d9oiIiOj+6sxc/tJklLu7O/bu3YumTZve/yAiIqJayFiUh8Jz+6C9kYA9ew9jyv/Nh8FQMkPKYDBi5opdOJ7nDEXjEEiVTnBu2QWq4NZMRhERERHRQ0MQRVG0dxDlWbVqFQ4ePAgAOHv2LE6cOIHHHnvMPPNp0KBBGDRoEC5evIi2bdtCq9Vi6NChaN68udW5goODrdbt30t+fj7c3NyQl5cHV1fXank9RERE9yKKIrQ34qG5fgGi0Qhd+lUMGP0xMnKKrMZGtGyKf2//N1SBERBkcjtESzWN70WIiIioLqvVX6UePHjQalvbQ4cO4dChQwBKkkyDBg1Ceno6tNqSXYY2btxY5rm6d+9eqYQUERGRLZm0xShOOAFDfiZMWjWKr56AMT8T2fnqMsdfTUqFY2iUjaMkIiIiIqoetTohtW7dunvuPlKqR48eqMUTvYiIiO5Jl5kC9bUzMBl00GddhzrxDGA0AAAauqiQkWs9Q6ppqwhbh0lEREREVG3qTA0pIiKih41o0KPoyl8ojo+FUVMEdfxxqBNOmJNRgoMS7739GgRBsDhOEASMnzHDHiETEREREVWLWj1DioiIqK7S592COuEETDo19Lk3ob56EqJea+6Xe/hDFRyJJ6LkWNooEFOnfAS9Xg+5XI5//vQT+gwcaMfoiYiIiIgeTK0uam5PLCRKREQ1QTQZoUmJg/ZGAgBAc/0itKmXzP2CVA5lSBs4ePhBkMqgDIqAwisYnf39kZ6aCm8/Pxy5ft1e4ZMN8b0IERER1WWcIUVERGQjxqK8kuV56nxzm8zFA6XzomRuXlCFtoXEQQWZqyccw6IhUTjaJ1giIiIiohrEhBQREVENE0UR2hvx0KRcAESTRZ/MrREUPk0hKFRw8AqGIJVCFdAKDt6hVrWjiIiIiIjqCiakiIiIapBJW4zihBMw5GfCqC6ALiMJysBWFskmZWBLAIDU2R2OYdGQqlzsFS4RERERkU0wIUVERFRDdLeSoU48A5NBD93Nq9AkxwGiCRKFIxTeobcHCgKUfs2h8GsGQeAGuERERERU9zEhRUREVM1Mei3U105Dn50Gk1aN4qsnYMzPNPfrbiXDoXEIBEGAVOUCVVg0ZM7u9zzn6ClTUJifD2cWtyYiIiKiOoAJKSIiomqkz70J9dWTMGrV0GelQp14GjAazP0OjUOhDGwJQRCg8AmDMqAlBIn0vucdM2VKTYZNRERERGRTXBdARERUDUSjAeprp1F08QgMxflQxx+HOiHWnIwS5Eo4hXeGKrg1pCoXOLfsAlVQ6wolo4iodsnPzy+z3WQyYf78+fD394e7uzsmTZoEvV5vk5iysrKwZs0aiKJobissLLTJtYmIiKqCCSkiIqIHZCjMQcG5GGhvXoM+9yYKz+yBPjvN3C/38IdLZE/I3Lzg4BUEl9Y9IXP1tGPERFRVy5cvx86dO8vs+/DDD/HJJ5/glVdeQefOnfHzzz9Dq9XaJK5hw4ZhyZIlFhsm5ObmYtasWUxMERFRrcQle0RERFUkiiZoUy9Dk3oJ+HtWgj4rFaK+5AOoIJVDGdIGDh5+EOQKOIZGQe7ubc+QiegBTJ06Fc2aNcOLL75o1ZeamopFixZh2bJlGDt2LERRREpKCpydnWs8LqPRiIMHD+KVV16xaPf398e4cePw6quvYsOGDXB0dKzxWIiIiCqKM6SIiIiqwKguROH5A9Bcv2hORgEoWYbnoILMrRGcI3vCwcMP8oa+cInsxWQU0UNsxYoVSElJwRtvvFFm/w8//AAA5qSQIAgIDAy0SWyxsbEoKChA165drfoaN26MiRMn4u2337ZJLERERBXFhBQREVElaW9eQ+HZGBjys2AsyrPoE2RyOLfsCsfmnSFVucIxrB2cmnWERK6wT7BE9MBu3bqFqVOn4pNPPil3zG+//Ybo6Gi4uLjYMLISMTExAFBmQgoAHn/8cZw5cwY7duywYVRERET3xoQUERFRBZl0GhRePAL1tdMwFOWgKG4/Ci8chEmrthgnUaggb9AYLpG94NAowE7RElGphIQECIKAmTNnWrTHxsZCJpNh0aJF9zz+66+/hp+fH5o3b27VN2XKFAiCgD179uDYsWMQBAGPPvoodu/eDVdXV3z//ff3PHdxcTFmzJiBJk2aQKVSoXnz5vjPf/5TqdcXExMDX19fbN26FZGRkXByckKbNm2wa9cu85inn34an376aaXOS0REVJNYQ4qIiKgC9NlpKL56Cia9FrqbV6FJjgNEEwBAfe0UnMI7AwAEiRTKwFZwaBxiUVyYiOwnNDQUTk5OiIuLM7fp9XqMGjUKHTt2xLvvvnvP47ds2YI2bdqU2detWzdotVosX74cY8eORfPmzREREYGMjAwUFBQgJSWl3PPqdDp0794dCQkJGDlyJJydnfHVV19h2LBhGDBgAGSy+79VL60fVVBQgK+++gpDhw5FTk4OVq5ciWeffRaXLl1CQEAA2rZti48//hgpKSkICGCinIiI7I8JKSIionsQDXqoE89Al5kCk1YN9dWTMOTfMvdLlM5Q+IcDAKTO7nAMawepquaLGBNRxQmCgBYtWuDChQvmtnnz5uHKlSs4deoUJJKSRQPBwcH44osvMHDgQPM4vV6Ps2fPokePHmWee9CgQUhISAAAzJ49G15eXua+rl27wt/fv9y49uzZg6SkJPz5559o0qQJACAvLw/Lly+HeEdtunsprR/19NNPY/PmzVAoSpYHN2/eHOPHj8ehQ4cwdOhQcxxHjhxhQoqIiGoFJqSIiIjKYcjPRHHCCZi0xdBlXoc68Qxg1Jv7HRqHQhnYsmQ3Pf/mUPg2hSBwNTxRbdSqVSv88MMP0Ov1uHz5MubOnYv58+ejWbNmAICkpCSkpKSgW7duFsdlZWXBYDDAycmp3HPv378f4eHhFskoAPdN/PTr1w/Xrl2DRCLBr7/+ipiYGPz0009o37495HJ5hV5Xaf2or776ypyMAoDIyEgAMM/ULN3tLykpqULnJSIiqmlMSBEREd1FNBmhSbkA7Y14mAw6aK6dgT471dwvOCjhGBoFmZsXpCoXqJq0g8ypgf0CJqL7ioiIgMFgwIULF/D666+jY8eOeOedd8z9MTExiIyMhLu7u8Vx95upJIoiDh48iOeff77SMeXk5OAf//gHVq9eDQ8PD7Ro0QJpaWkYPnx4hc8RExODZs2aWe3oVzprKyoqCgDMy//0ej2IiIhqAyakiIiI7mAsykNxfCyM6nyIooiiC4dhKr69k57cwx+q4NYQZA5Q+IRBGdASgkRqx4iJqCJatWoFAJgwYQLOnTuH06dPm5fqASWJnbKW5Xl4eEAqlaKoqKjM8549exbZ2dlWM6vuJykpCd27d0e7du1w6NAhREREYNu2bdixY0e5ywPvZjQacejQIbz66qsW7SaTCV9//TW6detmngGmVqvNr4eIiKg2YEKKiIgIJbMctGlXoLl+0VysXBAEKP3DUXz5WMmyvJA2cPDwg0ThCMewaMhcPe0cNRFVVEREBADgwIEDWLZsmblmU6l9+/ZhyZIlVsc5ODggIiICaWlpZZ53//79AFBmQspoNEIqLTthPWnSJLi5uWHz5s0QBAFpaWmYP38+5HI5HnvssQqdIzY2Fvn5+Xj88cfNbRqNBm+88Qbi4uJw5MgRc3tGRobFfSAiIrI3JqSIiKjeM2qKoE6IhaEgG6IoWuyOJ3f3hjKoNeQNfSBxUMGhUSBUQa0hyCpW34WIaoeAgAC4ubkhKioKEyZMsOhLSUlBUlJSubOcBgwYgJ9//rnMvn379iE0NNSqePmOHTswePBgdOvWDTt37rTaMa80mTRr1iykpaVh48aNKCwsRKdOncz1qvr164f9+/dj48aNGDBggNW1S5NhH3zwAU6dOoXi4mJs2rQJarUaO3bsQMuWLc1jL1y4AA8PDzzyyCP3uVNERES2wcqrRERU56xavBhLZ83CqsWL7ztWm5GIwjN7oc/LhOb6RRTHH7eqGaPwDoXUqQGcmnWEY1g0k1FED6mOHTtizZo1FklnoPz6UaXefPNNJCQkIDk52arvwIEDZSayNBoNAOCPP/7A6dOnrfrHjh0Lk8mExYsX49q1a9iwYQMkEgmaNm1qHqPX66FWq/Htt9+WGdcrr7yCl19+GZmZmZg/fz62bNmCF154AXFxcRazrErjGDdunFVijIiIyF4EsaJ7ytYz+fn5cHNzQ15eHlxdXe0dDhERVUJnf3+kp6bC288PR65fL3OMSaeB+upJ6HNvwqgugDrhBIxFuQAAVWgUHBrdLhAsd/eGKjQKErmizHMR1QS+F7Gd0aNHw9XVtcwle6UWLVqE1NRULF26tFLnfvnll/H555/Dx8enSrHdunUL//jHP7Bs2bIqHQ+UFDh/8sknceLECfNue0RERPbGGVJERFTv6LPTUHBmD3Q56dCmJ6DwbIw5GQUIEPXakp+kMqhC28KpeScmo4jqsH379mHp0qUQBMHi8eWXX5rHTJ06FQkJCThw4ECFz3v48GE0adKkyskok8mEhQsXYurUqVU6HgB0Oh0mTpyIn376ickoIiKqVThnl4iI6g3RoIc68Qx0mSkwadVQXz0JQ/4tc79E6QxVWDRkzu6QuXhAFRYNqdLJjhETkS3Ex8ffd4wgCNi0aRM++OADODs7Iyoq6p7j1Wo1zp8/j9mzZ1c5rr1792L06NEIDAy8/+AyaLVaTJs2DfPmzUObNm2qHAcREVFN4JK9cnCaPBHRw6usJXv6vFtQJ5yASaeGLvM61IlnAKPefIxD4xAoA1pCkDlAGdACCp8mVnVmiGyJ70Vqr9jYWLRr187eYdzX1atX0bBhQzRo0MDeoRAREVnhDCkiIqrTRJMRmuQ4aNMTIJqMUCechD471dwvyJVQhUVB7uYFqaMrHMPaQerkZseIiai2exiSUQAQGhpq7xCIiIjKxYQUERHVWaIoltSHUheUNAgSALcnBss9/KAKjoQgc4DCpymUAS0gSFhekYiIiIiopvFdNxER1Sm7t2xBVkYGACAr4yb+2PWHuU8QBCiD20CicoGqSTs4NmkPqVMDOLfsAlVQKyajiIiIiIhshO+8iYiozti9ZQveHDwYen1JbSiDwYh3py/A3n3HzGMkcgc4t+4JBw9/ODQKhEvrnpC5etorZCIiIiKieokJKSIiqhNEUcQ/Z39cZvvq736yaJM4KOHU7BE4hkVDkMltFSIREREREf2NNaSIiOihZ9KqUXz1JK5cvFRm/9WrKeaf5e7eUIVGQSJX2Co8IiKqpOvXr+Ps2bOQSCTo27evvcMhIqIawBlSRET0UNPdSkHBmT3Q595EqL9XmWPCwoIgSGRQhbSFU/NOTEYRUb1w5coVDB48GJ6envD09MS4ceNQWFhYbcdV5vxLliyBIAgWj2HDhlmMEUUR69atQ3h4OAICAvDUU08hJibGYsz333+Ptm3bwsnJCU2aNMFnn30GURRRk6p6Hyt6bHXf79jYWDzxxBNQqVRo2LAhXn75ZaSmplqNKxUfHw83Nzere01EVNM4Q4qIiB5KJr0W6munoc9Og0mnhjrhJF7q1gQfJaTgzs8mgiDg9TdHwDmyJ6RKJ/sFTERkQ/Hx8ejUqRM8PDwwbdo05ObmYtmyZTh//jz27NkDmazsjwEVPa4y59fr9Vi8eDHatWuHsWPHmtsff/xx889FRUUYNmwYfvvtN4wdOxZr165Fy5Yt4erqah6zZMkSTJkyBf3798fIkSNx/PhxvPfeezAajZg2bVp138JKv86qHFvd9/vMmTPo2rUrWrRogTlz5uDmzZv4+uuvceTIEZw6dQpubm4WMWo0Gjz//PPIz8+vkftHRHRPIpUpLy9PBCDm5eXZOxQiIrqLLvuGmHt8h5hz5L/ize1fiolfvi4mLh0hJi4dIf5rVE+xiVQiBgNiE5lM/GX1V6LJZLR3yESVxvci9CD69esn+vj4iFlZWea2Xbt2iQDEb7755oGPq8z5V69eLQIQY2JiyrymyWQSBw0aJAYGBooXLlwoc0xWVpbo5OQkjhkzxqK9Z8+eYtu2bct9PWX5/fffxezs7AqNrep9rOix1X2/o6OjxY4dO4o6nc7ctmfPHhGA+Nlnn1nF+Prrr4sARADi3r17K3BHiIiqD5fsERHRQ0M06FGccAJFl45C1GthMuigSTwDGEt21RPkSvR9YSgaNnQHAHh4eaH/qPEQBP65I6L6IyUlBbt27cKYMWPQsGFDc3vfvn0RHR2NFStWPNBxlTm/yWTCwoULERkZiY4dO5Z53c2bN+O3335DTEwMwsPDyxzj7u6Oo0ePYuHCheY2URSRn5+PRo0aVeCu3Na7d2+cPn36vuOqeh8remx13++UlBScPn0a06dPh1x+e8OOnj17okGDBrh8+bJFjOvXr8fKlSvx+uuv3/deEBHVBC7ZIyKih4IhPxPFCSdg0hab2yQyByhD2kAdfxxyDz+ogiMhyBwgSKUASpbrERHZQnFxMebMmYNNmzYhNTUVgYGBmDdvHp599tl7Hjdr1qxKXWfSpElo0KDBPcccPXoUADBgwACrvueeew4zZsxAfn6+xXK4yhxXmfPv2rULly6VbDjh7u6Onj17YuHChWjdurX5mM8++wydOnXCuHHjcPz4cWi1WnTv3h2ffvopIiMjAZT8ex4REQGgJMl14sQJLFq0CHFxcdizZ88970dVVfU+VvTY0rir634HBAQgJycHCoVlncSioiJoNBr4+PiY2y5cuICxY8di7NixePHFF7Fy5cpy7wMRUU1hQoqIiGo10WSEJiUO2hsJEI0GQBQhyG5/8+vg4QeJgxIyFw9IHFRQhUVBkMrvcUYiouql0+nQvXt3JCQkYOTIkXB2dsZXX32FYcOGYcCAAfesMzR79uxKXWvEiBH3TUhdv34dABAYGGjVFxwcDAC4evUq2rZtW6XjKnP+Pn36IDk5GWlpaTh48CC++uorREdH44svvsD48eORkZGBv/76C6IoonPnzvi///s/5ObmYuXKlejcuTNiYmLQoUMHi2u8/vrrWLNmDQDg5ZdfNietqltV72NFj83Ozq7Q+SsTh4uLi9WY+fPnw2g0YujQoQBKElTPPfccwsPDsXTpUhw5csTqGCIiW2BCioiIai1DUS7U8SdgVOfDUJgDdUIspE7ucGzSzmKczMWjZIZUSBtIZA52ipaI6qs9e/YgKSkJf/75J5o0aQIAyMvLw/Lly++7A9z9+qtCrVYDKJmRdDdPT08AKHN3tooeV5nzy2QyBAQEICAgAI888gjGjx+PwYMH4+2330bPnj2RkpICURQxYMAAbNmyxTyzdfz48YiIiMA777yDw4cPW1xjyJAh6NatGzZv3owNGzYgMzMTu3btspoVK4oiioqKyr1Hd98DpVJpkTys6n2s6LEFBQUVOv+DxPHHH39g3rx5mDlzpnk55Lhx43Djxg2cOHHCajYVEZEtsagGERHVOqJogub6RRSe2w9DUS401y+i6PwBmDRF0Gddhy7r9vbVglQOxybt4NS0A5NRRGQX/fr1w7Vr1+Dn54dff/0V7733Hn766Se0b9/eopaPrXh5eQEoSYrdrTS5UdZMmooeV9XzA4BKpcK6desAAP/+97+RmZkJAJg6dapFQsnX1xejR4/G0aNHzYmbUk899RSGDx+O7du344MPPsDu3buxe/duq2slJSXBxcXF6lF6jrvb169fX6X7UZaKHFu6411N3e/Lly/jhRdeQLdu3fDhhx8CAFatWoV//etfWLhwIZRKJdLT080ztbKzs5Genl5uEo+IqLpxhhQREdUqRnUBihNOwFiYA6O6AOqEEzAW5Zr7pU4NIHUsqdchc2sEx9BoSBQqO0VLRATk5OTgH//4B1avXg0PDw+0aNECaWlpGD58+H2PrYkaUv7+/gCAa9eumWfQlIqPj7cYU5Xjbty4UaXzl/L29kbDhg1x48YN83I3lcr63/GQkBCIoojCwsJyEz/vvPMO5s6di1OnTqFv374WfT4+Pjhw4IDVMV27dsWyZcsQFRVl0d6sWTOL51W9jxU9trS9Ju53dnY2nn76abi6uuLf//43pH/XVixNupVVyHzIkCEAgCNHjqBTp05lvi4iourEhBQREdUKoihCl34VmpQ4mIwG6G5egyb5PCCa/h4hQOHXDArfZhBkMqgCWsHBO7TMwuWjp0xBYX4+nMsoNEtEVJ2SkpLQvXt3tGvXDocOHUJERAS2bduGHTt2oEePHvc9viZqSHXp0gVKpRK7du2yqr+0e/duNG/eHB4eHlU+rqrnL5Weno5bt27Bz8/PvIzs+PHjaN++vcW4pKQkODk53XMXveLiko0u7k7UAIBCoUCXLl3KPK5169bl9pV6kNdZkWMHDhxYI/fbYDDg+eefR2pqKg4dOmRx/xYuXGieEVXqzJkzmDZtGhYsWID27dszGUVEtiNSmfLy8kQAYl5enr1DISKq84yaIrHg/AEx58h/xax9G8Tra94TE5eOMD+Sv3lLvPX7GjHnyH/F/NN7REMR/22muo/vRR4OgwYNEiMjI0WTySSKoiimpqaKnTt3FuVyuVhYWGi3uIYMGSL6+fmJWVlZ5ra9e/eKgiCICxcuNLclJydX6biKjjtz5ozF+Q0Ggzh06FBRKpWKly5dEkVRFFu2bCmGhoaK+fn55nHp6emih4eHOGzYMHPbgQMHrF7nmDFjRAcHB/H69ev3vyl/AyDu3bu3QmMr+jpFsWr3srrvtyiK4rhx40QA4saNGyv0Gvfu3Vupe0JEVF0EUayBSop1QH5+Ptzc3JCXl1fmVq5ERFQ9dBlJUCedhWg0wKgpQuG5fYBRb+53aBwCZUBLCFIZFL5NofRvAUHCEohU9/G9yMMhMDAQ+fn5eOedd5CWloaNGzeisLAQnTp1suvuZRcuXECHDh3g5+eH119/HZmZmfjyyy/RqlUr7N+/H0qlEvPmzcOMGTPw448/mndgq8hxFR1348YNhIWFITo6GkOGDEFRURG2bt2K48ePY8mSJZg0aRIAYN++fejXrx+CgoIwcuRI6PV6fPvttzAYDDh+/Dh8fX1x7NgxdOrUCX369EH//v1RUFCA7du349ixYxbnqgiZTIb//e9/6N69e7XcRwBVvpfVeb8B4Ouvv8b48eMRFRWF8ePHW7wWqVSKESNGWM0sjomJQc+ePbF3794KzeojIqo29s6I1Vb8VpKIqGYZtWqx8OIRMefIf82P7MP/Ea+vmyYmLh0hJn01VszYuULMOfJfMe/Eb6I+75a9QyayKb4XeTjMnTtXdHFxEZ2dncXHH39c3LZtmyiRSCxm9thLbGys2Lt3b9HZ2Vn08/MTx40bJ+bm5pr7V61aJbq4uIi7d++u1HGVGbdjxw6xW7duorOzs6hSqcTHHntM3L59u9W5jh07Jvbr1090d3cXXVxcxGeffVa8evWqxZh169aJ7du3F5VKpejk5CR26dJF3LJlS7mv32g0ijk5ORV+aLXaKt3HB72X1XW/T506JcpkMhFAmY9+/fqV+fo4Q4qI7KVWz5Bav349Dhw4gNjYWJw9exY6nQ5r167FiBEjyhyfn5+PWbNm4eeff0Z6ejq8vb0xZMgQzJo1q9LfLPJbSSKimqPLSoX62mmIBp1Vn0mngeb6RSgDW0Iic4CDZwBUwZEQZLbfqYrInvhehOjBJCYmIiQkpMLj7/U5g4iIql+tLmo+c+ZMJCUlwdPTEz4+PkhKSip3bFFREbp3745Tp06hd+/eeOmll3D69GksWbIEe/fuxcGDB+Hk5GTD6ImI6G4mgw7qa2egz7oO0WiAJiUOsgbekDfwMo+ROCjhGNoWgkwOVUhbOHj42TFiIiJ6WJW3y1557t5lj4iIalatTkitWrUKTZs2RVBQEObPn4/p06eXO3bhwoU4deoU3n//fSxYsMDc/vHHH+OTTz7BwoULK72LCRERVR997k2or56ESaeBoTAH6oRYmDRF0GenQRrZCxKZg3mszM0LjmFRkDhYbwNORERUEffaZY+IiOyvVleFfeKJJxAUFHTfcaIoYtWqVXB2dsZHH31k0Td9+nS4u7tj9erVqMWrE4mI6izRaEDx1VMoungERk0xNNcvouj8AZg0ReZ+Y2FuyWCJBKrg1nAK78xkFBERERFRHVarZ0hV1JUrV5CWloa+fftaLctTKpXo1q0btm7divj4eDRt2rTMc2i1Wmi1WvPz/Pz8Go2ZiKg+MORnojjhBEzaYhjVBVAnnICxKNfcL3VqAFVYNKQqF0id3OAY1g5SR9bKISIiIiKq62r1DKmKunLlCgCUm2wqbS8dV5Z58+bBzc3N/AgICKj+QImI6gnRZIQ66SwK4w7CqCmCNv0qCs/tuyMZJUDh1xxOLbtCqnKBwrcpnFt1ZzKKiIiIiKieqBMzpPLy8gAAbm5uZfaX7kxTOq4s06dPx5QpU8zP8/PzmZQiIqqCkvpQJ2BUF8CkU0N99SQMebfM/RKlE1Rh7SBzdodE4QjHsGjIXD3tGDEREREREdlanUhIVQeFQgGFQmHvMIiIapVVixejMD8fzq6uGHNH0r4soskEbeolaNIuA6U1+0wmGAqyzWMcGodAGdASglQGB88AqIIjIcjkNfkSiIiIiIioFqoTCanSmVHlzYAqrQdV3gwqIiIq2+rFi5GemgpvP797JqSMxfkoToiFscjy32GJ0gmqoNbQXL8IVWgU5A28IMjkUIW0hYOHX02HT0RkU1lZWdi6dStGjhwJQRDsHY6VlJSU+64AqMiYh93169dx9uxZSCQS9O3b197hEBHVW3WihtT9akTdr8YUERFVjSiK0KRdQcG5GBiL8mDIuwXRaLAYI28UCJfIXpA38ILMrRFcWvdiMoqI6qRhw4ZhyZIltS4Zdf78eQwZMgTdu3d/oDHff/892rZtCycnJzRp0gSfffaZ3XexPnLkCJ588kk0atQIjRo1wssvv4wbN25YjRNFEevWrUN4eDgCAgLw1FNPISYmxvYBExGRWZ1JSPn6+uLQoUMoKiqy6NNoNNi/fz98fX3RpEkTO0VIRFT3GDWFKIo7AE3yeYh6HdSJZ1B08TA0yecsxgmCAMFBAVVQBJzCH4VEobJTxERENcdoNOLgwYPo0qWLvUOxMG7cOERGRuKXX36ByWSq8pglS5Zg+PDh8Pf3x6efforOnTvjvffew8KFC2sy/Hvas2cPunXrhszMTMyYMQNvvfUWYmJi0KdPH2g0GvO4oqIiDBkyBG+99Rb69++Pw4cPIzc3F59++qndYiciojqyZE8QBIwZMwaffPIJPvnkEyxYsMDcN2/ePOTk5GDixIm17tsqIqKHkSiK0N28VpKIMhnNRcxNmkIAgC4jCXLPAMhcPAAAUkdXODZpzx30iKhOi42NRUFBAbp27WrvUCxkZWVh586d2LBhQ7kzgu43Jjs7Gx9++CHGjBmDlStXmttTU1OxceNGTJs2rVpi/eOPP9CuXTu4u7tXaPzy5cvh7e2NAwcOQKlUAgCeffZZtGnTBvv370efPn0giiJeffVVnDhxArGxsQgPD6+WWImI6MHV6oTUqlWrcPDgQQDA2bNnzW2lfygHDRqEQYMGAQDef/99bNu2DQsXLsTJkyfRrl07nD59Gjt37kTbtm3x/vvv2+MlEBHVKSZtMYr/3jVPFE3Qpl6BNvUSgL+XbAgSKANbQercEACg8GkCZUALCBKp/YImIrKB0ventS0htWnTJgDAhg0bqjzG3d0dR48ehZ/f7eXWoigiPz8fjRo1qrZYe/fujb1796JHjx4VGi+KIpydnc3JKOB2zVitVgsA2Lx5M3777TecP38eISEh1RYrERE9uFqdkDp48CC+++47i7ZDhw7h0KFDAIDg4GBzQsrJyQkxMTGYPXs2Nm/ejJiYGHh7e2Py5Mn4+OOP4eTkZOvwiYjqFF1GEtRJZyEaDTCqC6FOiIWxKNfcL3VqAFVYNKQqF0gcVFCFRUPuVn0fVIiIarOYmBj4+vpi69at+Pbbb5GQkIAmTZpgwYIF6Nev3z2PnTVrVqWuNWnSJDRo0KDqwVaSIAiIiIgAAJhMJpw4cQKLFi1CXFwc9uzZY7M47vbKK69gyJAhmD17Nj744ANkZ2fjpZdegre3N3r16gUA+Oyzz9CpUyeMGzcOx48fh1arRffu3fHpp58iMjLSbrETEREgiPauRFhL5efnw83NDXl5eXB15TITIqqfOvv7Iz01FY0bN8KuLd/eXq6XEgeYjH+PEqDwawaFbzMIEgnkHn5wDGkLQSa3a+xEDzu+F3l4GI1GuLu7o6CgAOHh4Rg6dChycnKwcuVKiKKIS5cu3XPnusqWlbh27RqCg4MrdcyIESMQExODxMTEBxozevRorFmzBgDw8ssvY+XKlXB0dKxULOURBKFSM6QAYO7cufjoo48QHByMnJwc+Pr6YtOmTWjZsiUyMjLg7e0NURTRuXNnPPvss8jNzcXKlStRWFiImJgYdOjQoVpiJyKiyqvVM6SIiMi+xL+TTuLfRW4N2WnQJJ0190uUTlCFtYPM2R2CVA5VcCQcGtXt7cKJiO5WWj/q6aefxubNm6FQKAAAzZs3x/jx43Ho0CEMHTq03OMfpu+HhwwZgm7dumHz5s3YsGEDMjMzsWvXrkol1URRtNqIqJRarUZhYaFFm1KphExW9seWUaNGYePGjTh3rmRDjd69e8Pf3x8AcOrUKYiiiAEDBmDLli3mGMePH4+IiAi88847OHz4cIXjJiKi6lUndtkjIqLqZdJrsW35ImTdugUAyM7Jxd59xyBr6AupiycAwKFxCJwjekDm7A6ZiwdcInsyGUVE9VJp/aivvvrKnIwCYF4SVpc21nnqqacwfPhwbN++HR988AF2796N3bt3V+ocSUlJcHFxsXqUnv/u9vXr15d7ng4dOiAwMBDx8fFYvXo1/ve//6F3794oLi5GZmYmAGDq1KkWvwNfX1+MHj0aR48eRUFBQRXvBBERPSjOkCIiIgv6nBv4Zc1yTJk6x9xmMBjx7vQF+HzeNHTvFAWjuhDyBl4lRcz9w6HwbVqnPnAREVVGTEwMmjVrhsDAQIv2hIQEAEBUVNQ9j6/tNaTK884772Du3Lk4deoU+vbtW+HjfHx8cODAAav2rl27YtmyZVb3q1mzZmWe5+2334aLiwu2bNkCuVyOsLAwdOzYEdHR0fjqq6/QtGlTAIBKpbI6NiQkBKIoorCw0JwMIyIi22JCioiIAACiQQ910lnobiVjwaJvrPtFEWu+/xk9uz8CicIRUpULVE3aQebUwPbBEhHVEkajEYcOHcKrr75q0W4ymfD111+jW7du5SZUSs2ePbtS1xwxYkStSEgVFxcDADw9PSt1nEKhQJcuXcrsa926dbl9d9uzZw/eeOMNyOW3axZGREQgMjIS+/btwzPPPAMAOH78ONq3b29xbFJSEpycnKp1l0AiIqocLtkjIiLo8zJQcGYPdLeSIRoNyMrMLnNcwrUUAICicQicI7ozGUVE9V5sbCzy8/Px+OOPm9s0Gg1GjBiBuLg4fP311/c9hyiKlXpUtqB5dTh48KBV25w5c+Dg4GC1i2BKSopNYnJ1dcWff/5pUYMrMzMTV69ehaenJ8LDw9GyZUssWrTIYmnezZs3sXr1ajz77LMWtalsFTcREZXgDCkionpMNBqgTjoHXUYiAMBQmAN1wgk0dFEhI9e64GxYaCCcmneC3N3bxpESEdVO+/fvBwB88MEHOHXqFIqLi7Fp0yao1Wrs2LEDLVu2tHOED+7YsWPo2rUr+vTpg/79+6OgoADbt2/HsWPHsGTJEvj5+ZnHzps3DzNmzMCPP/54z0LuZZFKpZVa/j1jxgxMmDABPXv2xDPPPAOtVovVq1dDrVZj0qRJAIDly5ejX79+6NChA0aOHAm9Xo9vv/0WDg4OmD9/frXETUREVcOEFBFRPWXIz0RxwgmYtMUQTSZo0y5Dm3oZgIiJz3bER2v34s6NnwRBwITZc5mMIiK6wyuvvIKTJ09i9+7dmD9/PgIDA/HCCy9g2rRpdWY52COPPIJ169bhn//8J6ZNmwapVIqoqChs2bIFAwcOtBjr5eUFFxcXeHh4lHs+k8mE/Px8q/bSIuS5ubkW7Y6OjnBwcLAa/9ZbbyEgIAALFizAJ598AqVSiQ4dOuA///kP2rRpAwDo3r079u3bh48//hgLFiyAwWBA79698dlnn8HX17dScRMRUfUSxIdpn1kbys/Ph5ubG/Ly8uDq6mrvcIiIqo1oMkKTHAdtekmxXaO6AOqEEzAW5ZrHSJ3ccOwG8H+ffAWDwQCZXI6vfvoJfe764EFENYfvRaiuSkxMREhISIXHr127FiNGjKi5gIiIyC44Q4qIqB4xFOagOCEWJnUhAECfnYbihBOAyfj3CAEKv2ZQ+DbD4xESNPznD8jIyISnlxeTUUREVC3K22WvPPcrCk9ERA8nJqSIiOoB0WSC5vpFaG9cwZ3r8CQqF/NzidIJqrB2kDm7A4IAhW9TSOQKe4VMRER11L122SMiovqDCSkiojrOUJRbsiSv2Lpeh1TlAmVgK5jUBVAGtoIglUGicIRjWDvIXFlHg4iIiIiIagYTUkREdZQomqBNvQxN6mVANEE06KBJuwKlfzgEidQ8TuEdav7ZwTMAquBICDK5PUImIiIiIqJ6ggkpIqI6yFicj+I7CpUb8jJQnHASol4DiCJUQREW4wWpHKqQNnDw9LdDtEREREREVN8wIUVEVIeIognatHhoUi8CJhNEowGalDjobl4zj9HfSobCtxkk8pIttGWunnAMi4ZE4WivsImIiIiIqJ5hQoqIqI4wqgtLZkUVZgMo2VFPnXACJk2heYzMtRFUoVElyShBAmVACyh8mkAQBHuFTURERERE9RATUkREDzlRFKFLvwpNShxEk/HvWVJXoE29dHtHPUECZWArODQOgSAIkKpcoGrSDjKnBvc89+gpU1CYnw9nV9eafyFERERERFRvMCFFRPQQM2qKoE44AUNBVslzdWHJjnpFOeYxUic3qMLaQapyAQA4NA6B6u8d9e5nzJQpNRM4ERFVq+PHj2PChAmIj49HeHg4vv76a7Ru3dreYREREZWrwgmp0NDQ+w+6j0mTJuHtt99+4PMQERGgvXkNmqTzEE0Gc5s+O/WOZJQAhV8zKHybQZBIIMgVcAyNgtzd2z4BExFRjcjMzMSQIUPw448/onPnzvj8888xePBgxMfH2zs0IiKickkqOjAxMRE5OTkQRbFKj6SkJOTm5tbgSyEiqh9M2mIUXjgM9bXTFskoAFD4NoXUyR0SpROcWnWF0j8cgkQCeYPGcInsxWQUEVEddObMGbz66qt49NFHIQgC3nzzTSQkJCAjI6PGrnnz5k2kpqbW2PlrWkpKSr24Zm3H3wNR/VbhhBQATJ48GdeuXavSQyytY0JERFWmy0hCwZm9MOSVfMgwqgss+gVBAsdmHeAc0QMyZ3cIEilUwZFwCu8MiVxhj5CJiKiG9erVC3PnzjU/P3DgAHx8fODh4WE1VhRFBAYGYsWKFVW+3vXr1+Hn54fff//doj0vLw8vv/wy3Nzc0LRpU3z66afQ6XRVvk55rly5gsGDB8PT0xOenp4YN24cCgsL738ggPPnz2PIkCHo3r37PcctWbIEgiBYPIYNG2Yx5vvvv0fbtm3h5OSEJk2a4LPPPivzM09Fr1nW72bdunVo3bo1FAoFfH19MXHixBr/kr+q97cyx93rnhiNRgQHB1vd/9LH4MGDq/2aRGQfrCFFRPQQMOnUUF89BX3uTQCAaNBBnXgG+qw0OLXqCpmzu3msxEEFoKR2lGNYO0gdWZCciKi+yMjIwPjx4/HFF19AKpVa9R86dAg3btzAkCFDqnwNg8EAo9Fo1T59+nRs2bIF06dPR2ZmJpYvX47JkydX+TpliY+PR6dOneDh4YFp06YhNzcXy5Ytw/nz57Fnzx7IZOV/vBk3bhy+/fZbyGQy+Pj4lDtOr9dj8eLFaNeuHcaOHWtuf/zxx80/L1myBFOmTEH//v0xcuRIHD9+HO+99x6MRiOmTZtW6WsC1r+buXPnYubMmRgyZAhGjRqFuLg4fP311zh8+DCOHDkCBweH+96vyqrq/a3Mcfe7J7m5uZg5c6ZV++XLl7Fo0SJzQqo6r0lEdiJWUHx8vJidnV3R4dV+vK3l5eWJAMS8vDx7h0JE9Zw2I1nM/esXMefIf8WcI/8Vb+1aISZ9NVZMXDpCTFw6Qkz+ZoKYfWizuT/nyH/F4sRzoslotHfoRPQA+F7k4RQbGys++uijolwuFwGI//rXv2x2bY1GI3bu3FmcPHlyuWPeeustsU+fPg90nWvXrokAxLVr11q0BwQEiG+++ab5ubEG/g7169dP9PHxEbOyssxtu3btEgGI33zzzT2Pff7558XffvtNHD58uBgUFFTuuNWrV4sAxJiYmDL7s7KyRCcnJ3HMmDEW7T179hTbtm1bpWuKouXvJikpSZTJZOL06dMtxvz73/8WAYjLly+/57mqqqr3tzLHVeae3Gn69OmiQqEQc3NzbXZNIqpZFV6yFxYWBnd39/sPrKHjiYjqG5Nei6JLx1CcEAvRoIdoNECdeAZFF49A1GtKBknlUPg1B4SSf84lDio4tXgMqqBWECSVWpVNREQPKD09Hb169ULnzp3x119/4cKFCxgwYIDNrj969Gi4ublh0aJFZfabTCZs3rwZQ4cOrZHrX79+Hd7et2sVSqr571BKSgp27dqFMWPGoGHDhub2vn37Ijo6+r7LEDdt2oQ+ffrcc4zJZMLChQsRGRmJjh07ljnG3d0dR48excKFC81toigiPz8fjRo1qvQ1S6975+9mx44dMBgMmDBhgsW4F154Aa1atcLmzZvve87Kqur9rexxFb0nd/v3v/+Nfv36wc3NzWbXJKKaVe2fVkRRxJUrV3D9+vXqPjURUb2hy0pFwen/QZ9zAwBgKMxB4bl90N28Zh4jdfWES+uecPD0hyAIkHv4wTmyJ+Rujco7LRER1aC1a9fC398fn332Gdq0aYPw8HC4ulovm7548SL+85//VPi8f/75J4KDg/Huu+9atO/duxdRUVHYvn07Pv30U8TGxmLjxo1lLtUrHZ+Tk2Ne8jRz5kyMGDECX331lbkWUps2bbBnzx6L42JiYtClSxc4OjoiJCQEixcvtugfMWIEBEGAKIqYPXs2BEFAjx49LMaIoojCwsIKPwwGy007AODo0aMAUGaS77nnnsPJkyeRn59/75t5H7t27cKlS5dw5swZuLu748knn8TZs2ctxgiCgIiICLi7u8NkMuH48eMYOnQo4uLi8Mknn1Tpunf/brKzswEAKpXKamzz5s2tdlC05/21xe/l2LFjuHr1Kl588UWbXZOIal6VE1Jbt27FqFGjkJOTY25LTExE69atER4ejqCgILzyyiswmUzVEigRUX1g0mtRdOUvFF/5C6JBB1E0QXP9EoriDsCk+btIpyCBMigCTuGPQqJQQZDK4BgWDaemHSCRVX89CSIiqpiEhASEh4ffd1x4eDjWr1+P2NjYCp33zz//REZGBhYvXoxz584BKHnf/cILLyAyMhJyuRwzZ85EcnIywsLCzAWejxw5YnGejRs3ok+fPmjQoAEA4ODBg9iwYQOmTZuGXr16Yfbs2cjOzsbAgQPNH+a3bduG3r17o7CwEB9//DGGDh2KNWvWWJx3zJgxWLt2LQBg4MCBWLt2Lf7v//7PYkxSUhJcXFwq/Fi/fr3VfSj9wjswMNCqLzg4GABw9erVCt3T8vTp0wfJyck4evQo5s6di0uXLiE6OhrLly8vc/zrr7+ODh06YNOmTRg8eDAiIyOrdN27fzdNmzYFAGzfvt1inFqtxp9//on09HSLdnveX1v8XjZu3AiVSmVOQNnimkRU86pc1Pybb77B9evXLZbhTZo0CXFxcejVqxeysrKwceNG9OrVC6NHj66WYImI6jJ99g0UXzsFUa81t6mvnoI+8/b2xFInN6jC2kGqcil57twQjk3aQap0snm8RERkyc/PDwcPHoTJZLrvcrUVK1agd+/eWL16Ndq1a3fPsRMmTIBUKsX48ePx559/IiQkBAMHDkRYWBi+/fZbKBSK+34JrNfr8Z///AfLli2zaBcEAQcOHEBUVBQAwMfHB6+++iouXryIVq1aYfTo0ejevTt27NhhLqLdq1cvi+VPXbp0QZcuXTBy5Ei0bdsWI0aMsLq+j48PDhw4cM8Y79SsWTOrNrVaDQBllgHx9PQEgArvtlcemUyGgIAABAQE4JFHHsH48eMxePBgvP322+jZsydatGhhMX7IkCHo1q0bNm/ejA0bNiAzMxO7du2CIAgVvmZZv5sBAwagefPmmDBhAvLz8/HEE08gPT0ds2fPtloaCdj3/tb078VkMuGnn37C008/DScnJ5tck4hso8oJqfPnz6N3797m53l5edixYwdefPFF/Pjjj9Dr9YiKisLq1auZkCIiugeTQQdN4hnoMq2XOiu8w6DPug6IgMKvGRS+zUpqQwkClH7NofBrBkFgrSgiotpg9OjRWLZsGYYPH44JEybAzc3tnuNbtWqFbt264ZtvvsGwYcPuOfaFF17A+PHjkZWVhREjRiAzMxN//fUXFApFhWL7/fffUVxcbLXEqVOnTuZkFFCSVAOA4uJi7Nq1C5mZmZg/f77Fjm6ls3cqQ6FQoEuXLpU+7k5eXl4ASj53lCYdSpUmKFxcXB7oGndTqVRYt24d/P398e9//xuzZs2y6H/qqacAAMOHD8fMmTMxd+5c7N69G3379q3wNcr63SgUCuzevRuvvvoqJk6caG6PioqCs7Oz1Uw8e97fmv69HDhwAKmpqeblera4JhHZRpUTUrdu3bLYMvPgwYMwGAx46aWXAAByuRy9e/fGDz/88OBREhHVUfqcdKivnYJJV1KkXBRFi29VpU5uUAW3gUTlAplLSdFOicIRjk3aQebiYZeYiYiobIGBgTh27BimTp2KPn36VLiGzejRoyGXy+9ZbNzDwwMymQwrVqxAamoq9u3bB19f3wrHtnHjRvTv39/qQ/q9ZvJcuXIFQEni7EGZTKZK1fRxdHS0SIIBgL+/PwDg2rVrVkmI0ppKpWOqk7e3Nxo2bIgbN27cc9w777yDuXPn4tSpU5VKSJX3uwkMDMT+/ftx6dIlJCcnIyAgABqNBlFRUejXr5/FWHve35r+vWzcuBHOzs7m5J8trklEtlHlhJSrqyuysrLMz2NiYiCRSNC1a1dzm1wuR1FR0YNFSET0EFq1eDEK8/Ph7OqKMVOmWPWLBj3USWehu5VsbtNlpUKfkQTH5p0sdshz8Aq6/bNnAFTBkRBk8pp9AUREVCXNmjXDtm3bKjR2xIgRiIuLw/r168tcQnWnzMxMGAwGJCQk4Pvvvy93B7iyaLVabN26FatWrarwMQDg7OwMALh586a5Lg8AGI3GSp0HAJKTkxESElLh8WvXrrVa+telSxcolUrs2rULHTp0sOjbvXs3mjdvDg+P6v+yJj09Hbdu3TLPHitPcXExAFglSO6lIr+b5s2bo3nz5gBKanSpVCqMHDnSYow9729N/l4MBgM2b95sft22uCYR2U6VE1Lh4eHYvn075s6dC6lUio0bNyI6OtpiHW9SUhIaN25cLYESET1MVi9ejPTUVHj7+VklpPS5N6G+egomXcmUctGggzrxbMnSPADa1EtQBljWqBCkcqhC2sDBk9/2ERHVBdu2bYPBYMCBAwcqtOzu/PnzAEoKiN9ved/dduzYAaPRiP79+1fquG7dugEA/vnPf+Kzzz4zt5cW+BZFscLnqo4aR87Ozujfvz9WrFiBt956Cw0blswcjomJwe7du7FgwQLz2JSUFAQEBFT4eqXOnj2L1q1bm58bjUZMnjwZUqnUYgbbwYMHrZbIzZkzBw4ODlazl+6lMr+bpUuXYtu2bZg7d655yVope97fyhxXWX/88QcyMzMtluvV9DWJyHaqnJB6++238fzzz8PPz888E2r27NnmfqPRiIMHD1bq2xsiorpMNOihTj4PXUaiuc2Ql4HihJMQ9Rpzm0lbZLF0T+bqCcewaEgUjrYOmYiIakB8fDx++eUXfP/99/ctfg4AWVlZ5hkxVakTtHHjRgwYMACOjpX7OxIZGYmhQ4fi888/R0pKCh577DEcOnQImzZtAgBoNJr7nOG26qhxBAD/+Mc/0KFDB3Tu3Bmvv/46MjMz8eWXX6J9+/bmWkvz5s3DjBkz8OOPP95zGeTdbty4gUceeQTR0dEYMmQIioqKsHXrVhw/fhxLliwxJ3GOHTuGrl27ok+fPujfvz8KCgqwfft2HDt2DEuWLLnvTKo7VeR3k52djdmzZ2PZsmUYPXo0pk+fbjXG3ve3IsdVxcaNG+Hm5lbmEsiauiYR2U6VK+EOGTIEX331FVq1aoVmzZph3rx5GDVqlLn/f//7H4qLiyv1DQERUV2lz7uFgrN7zcko0WSEOvEsii4euZ2MksqgCouGKqxdSTJKkEAZ0BJOLR5jMoqIqA4JCQnB8uXLK5SMMhqNePHFF5GXlwcAlV6GVFRUhF9++cVqhklFrVu3Du+++y727duH9957D0lJSdi0aRMCAwPtUqOnRYsW2L9/P4KCgjB79mysX78ew4cPx++//w6lUgmgpOC1i4tLpe+Vj48Pfv75Z0ilUnz00Uf49NNPoVAosH37dkyaNMk87pFHHsG6deuQnZ2NadOmYd68eZDL5diyZYvFuPu53+9mxowZ6NWrF/z8/LB+/Xp89dVXWLVqVaV28Kusqt7fihxXWVqtFlu2bMHgwYOt6l3V1DWJyLYEsTJzbeuR/Px8uLm5IS8vD66urvYOh4geMp39/c1L9v534Ffobl4z9xkKc6BOOAGT5vZ2xFJXTziGRkOiKKmPIFE6lxQud7bezpiI6ge+FyEAmDRpElavXo0ffvgBAwcOxHfffYfXXnvN3mGRDbz66qsICAhA+/bt0bdvX3NNLyKiuqJSS/bWrl2Lp59+Go0aNaqpeIiI6hSTXmuRjNKkXoY29SJQ+l2AIIEysCUcGoeav/F08AqCKqg1BGmVV1UTEVEd8P333+PLL7/Eli1b8NhjjwEAdu7cyYRUPbF+/Xp7h0BEVKMq9Wln9OjRkEql6NSpEwYNGoQBAwagadOmNRUbEdFDSTQaIBr1fz+5axKqUW9ukzq5QRXWDlJVyTbPgswBjqFtIW9Y8W28iYiobvrrr7/w5ptvYs6cOXjmmWcgiiJ8fX2xceNGNGvWDFOnToWLi4u9wyQiIqqyStWQOnz4MKZOnYrs7Gy89957CA8PR4sWLTBjxgwcPXq0pmIkInpoGPKzUHA2BmI5W2Ir/MMhcXSDwq8ZnFp2MyejZG6N4BLZk8koIiLCzZs38eyzz+Lpp582F7AWBAEff/wxBEFAYmIiVCqVnaMkIiJ6MFWuIZWQkID//ve/2LZtGw4fPgxRFOHl5YUBAwZg4MCBePzxxyu0hW1txboNRFQZoskITcoFaG/EAwD6DhiDjFtZ8PJogN9+WXvXWBOE0kK2ggTKgBZQ+DSp0SKlRPTw4XuR+kun06G4uBjOzs6QySwXNGRnZ8Pd3Z1/M4iI6KFXLUXNs7KysG3bNmzduhV//PEH1Go1HB0d0adPHwwaNAj9+/dHw4YNqyNem+GbQCKqKENBNoqvnoBJXVKkfO++Y3j/g0UwGI2QSSWY/9EEPN6np9VxUpULHJu0h9TJzdYhE9FDgO9FiIiIqC6r9l32NBoNdu/eja1bt+LXX39FRkYGpFIpHnvsMcTExFTnpWoU3wQS0f2IJiM01y+WzIr6+5/SPXsO4d0PPrMYJwjA5/P+Dz27P2Juc2gcAlVgKxYuJ6Jy8b0IERER1WXVnpC6kyiKOHLkCLZs2YJt27bh4sWLNXWpasc3gUR0L4bCHKgTTsKozr/dlncL/V+ajIycIqvxES2b4l+rF0KQK+AYGgW5u7ctwyWihxDfixAREVFd9sBfzZtMJly/fh2pqanQ6/Vljlm4cCEWLlz4oJciIrI70WT6e1bUFfOsqJL6UXHQpV9Fdr66zOMSrqVA1sALjqHRkDgobRkyERERERFRrVPlhJQoipg/fz6WLFmCrKyscscIggBjObtNERE9TIxFeShOiIWxOP+OtlwUx8fCpCmpH9XQRYWMXOsZUk3Dm8OpeWcWoSUiIiIiIsIDJKSmT5+OhQsXwsvLCyNHjoSPj4/VLiBERHWBaDJBm3YZmtTLgGi63S6KKE44YU5GQZDg3bHP4/8WfIc7V0MLgoC3Pp7NZBQREREREdHfqpxBWrduHZo3b46//voLzs7O1RkTEVGtUTIr6gSMxXlWfYIgQBXSFkVxByBxdINjk3bo09EF8gbeeH/mZzAYDJDL5fjnTz+hz8CBdoieiIiIiIiodpJU9cDCwkL079+fySgiqpNEsaRWVMG5feZklCiKEA2WtfJkLg3hFP4onFt1g1TlAgDo9UQ3eHg1AgB4eHkxGUVERDXu+PHj6NSpEzw9PdGlSxecPXvW3iERERHdU5UTUm3btkVaWlp1xkJEVCsYi/NReG4/NNcvmpfomXRqFF86iqJLR3H35qQyt0YQJCX/nMobNIZLZC8IQpX/eSUiIqqUzMxMDBkyBIsXL8atW7cwaNAgDB482N5hERER3VOVPzHNnDkTW7duxYkTJ6ozngcmiiL+85//oGfPnvDx8YGjoyOaN2+ON998E1evXrV3eERUi4miCZrUyyg4GwNjUa65XZ+VisKze2HIy4CxMLtkh727CBIpVMGRcArvDIlcYbugiYio3jtz5gxeffVVPProoxAEAW+++SYSEhKQkZFht5j0en21zNKq6nlyc3Nx6NChB76+PaSkpNg7BCIim6hyDal+/frhu+++w5NPPokBAwagTZs2cHV1LXPsa6+9VuUAK2vq1KlYvHgxfHx8MGjQILi6uuL06dNYuXIlfvzxRxw+fBgRERE2i4eIHg7G4nwUXz0JY2GOuU006KFOPAN91nVzmyBXQOroZnGs9O/6UVLHsv8NJCIiqkm9evVCr169zM8PHDgAHx8feHh42C2mZ555BhqNBjExMTY5T48ePbBv3z7zLOZ27dohICDAfNzd/bXR+fPn8dFHH+HkyZP8Ip2I6oUqJ6S0Wi22bt2KzMxMrF69GgCsdpASRRGCINgsIZWeno6lS5ciODgYp0+ftkiQLV26FJMnT8bixYuxZs0am8RDRLWfKJqgvZEAzfULgOn2DnqGvFsovnoCok5jbpM39IUyuA0kcgdzm8InDMqAlhAkUpvGTUREVJaMjAyMHz8eX3zxBaRS+/1t0mg09x9UjecJCQlBZmam+bnRaLxnPwAcPnwYLVu2RIMGDR44zgc1btw4fPvtt5DJZPDx8bF3OERENlHlhNSUKVPwww8/IDIyEs899xx8fHwgk1X5dNUiMTERJpMJjz32mNVsrf79+2Py5Ml2nbpMRLWLUV1QsoPenbOiTEZoUuKgS7/jm0mpDKrgSMg9/M2Jd4mDEqrQaMgbeNk6bCIiqsVOnDiBiRMn4q+//oJer8e//vUvvPrqqza5tlarxaBBg/Dss8/i+eeft8k1a4u1a9dWqv/cuXPo168fzpw5UysSUllZWdi5cyc2bNjwwLPKiIgeFlXOIP30009o164djhw5YvdEVKmmTZvCwcEBhw4dQkFBAVxcXMx9O3bsAACL6cx30mq10Gq15uf5+fk1GywR2Y0oitDeiLeaFSUaDSg8vx8mdYG5TerqCcfQaEgUKnOb3N0bqtAo1ooiIiIL6enp6NWrF8aMGYPly5dDoVDA19fXZtcfPXo03NzcsGjRIptd82F1/PhxFBQU3H+gjWzatAkAsGHDBjtHQkRkO1Uuaq7RaNCzZ89ak4wCAA8PD8ydOxeJiYlo0aIFxo8fj2nTpuGpp57Ce++9hzfeeAMTJ04s89h58+bBzc3N/AgICLBx9ERkC0Z1IQrPH4Am+bxFMgoABKkMMlfPv59IoAyKgFP4o+ZklCCRQhXSBk7NOzEZRUREVtauXQt/f3989tlnaNOmDcLDw8ussXrx4kX85z//qfB5//zzTwQHB+Pdd9+1aN+7dy+ioqKwfft2fPrpp4iNjcXGjRvvuVTvww8/xIsvvojZs2cjKCgICoUCkZGR2Lp1q8W4jz76CP3798e6desQEhICJycn8xe869evR9u2baFUKuHp6Ynnn38eFy9etLqWVqvFxx9/jCZNmkClUqFDhw7YuXOnxZisrCyMHj0a3t7ecHZ2RufOnbF3795Kn2f79u3o06dPua/7zv4FCxZg5MiRAEqW8gmCgFOnTuHChQuQSCT46KOPrGKUy+V46623LNpFUURhYWGFHwaDodz4iIjqoyonpNq1a4f4+PjqjKVaTJ06FT/88APy8vLw9ddfY+HChdi5cyc6dOiAV199FXK5vMzjpk+fjry8PPODu1sQ1S2ls6IKz+6FsTC73HHKgJaQN/SDc0R3KLzDzEv0pI5uJW2NQ2wVMhERPWQSEhIQHh5+33Hh4eFYv349YmNjK3TeP//8ExkZGVi8eDHOnTsHoKRUxQsvvIDIyEjI5XLMnDkTycnJCAsLg6enJzw9PXHkyBGrcx04cACbNm3C0qVLMWzYMHz44YcoLi7G4MGD8ccff5jH7d+/H/v27cOoUaPQtWtXfPjhh1Aqlfj8888xbNgwuLu7Y86cOXj99dexb98+dOjQAadPn7a41tGjR7Fq1SqMGDECH3zwAfLy8vD000+bE1sAMHDgQGzcuBGvvfYa5syZg6KiIjzzzDNITU2t1Hl+/vln/P777+Xewzv7g4KCMHr0aADAokWLsHbtWgQGBqJFixbo27cvVqxYYbFy4ueff4bBYMArr7xicc6kpCS4uLhU+LF+/fryf8lERPVQlac3ffrpp3j88cfxyy+/4Omnn67OmB7InDlz8Mknn2DWrFl47bXX4O7ujlOnTmHKlCno2bMnNm3ahGeffdbqOIVCAYWCMx6I6iKjphDqhBMwFNxORImiCF1GIgRBAgevIHO7IJXBsWl7i+MVPk3+Llxe8Rz+6ClTUJifD+dydh8lIqK6x8/PDwcPHoTJZILkPn8zVqxYgd69e2P16tVo167dPcdOmDABUqkU48ePx59//omQkBAMHDgQYWFh+Pbbb6FQKGC6a9bvvchkMuzZswdRUVEAgPHjx6Nly5aYMWMGnnjiCfO4oqIivP322/jiiy8AAKmpqXjyySfx4osv4scffzR/afPOO+8gIiICkyZNspjd5OjoiMOHDyMoqOTv7Ntvv41WrVqZVzDk5+cjJSUFq1atwksvvQQAeOKJJ9C6dWscOXIEzz33XIXOU1lDhw6FRqPB6tWr8dxzzyE4ONjcN3nyZPTt2xcbN27E8OHDAZQspwsNDcWjjz5qcR4fHx8cOHCgwtdt1qxZpWMlIqrLqpyQ+v3339GjRw8MHDgQPXv2RNu2bcuckiwIAj788MMHCrKi9uzZgw8//BCTJ0/GjBkzzO2PPfYYfvnlF4SGhmLy5MllJqSIqO4RRRG6m1ehSY6DaLq9245Jp4H66kkY8jIAiRRSFw9IVc5Wxz9I4fIxU6Y8UOxERPTwGT16NJYtW4bhw4djwoQJcHNzu+f4Vq1aoVu3bvjmm28wbNiwe4594YUXMH78eGRlZWHEiBHIzMzEX3/9VaUvVDt16mRORgFAw4YNMWrUKMybNw+FhYVwdi75myiTySyWr+3cuRM6nQ4ffvihxe7a3t7eGDNmDD777DOo1WqoVCVL3Tt06GBOIgGAq6srRowYgTlz5iA3NxcNGjTAlStXIJfLceXKFWzfvh3/+9//AACFhYXm4ypynurSp08ftGrVCl988QWGDx+OW7duISYmxuKzRSmFQoEuXbpU27WJiOqbKiekZs2aZf55z5492LNnT5njbJmQ+vXXXwEAPXv2tOpr1KiR+duWzMxMeHp62iQmIqq8VYsXm2cXVTWxY9QUlSSd8i23eNZnpUGdeAqiQV/SYDLCkHvTKiEld/eBKrQta0UREVGFBQYG4tixY5g6dSr69OlT4U1yRo8eDblcjqFDh5Y7xsPDAzKZDCtWrEBqair27dtX5YLpZdWY8vf3BwCLhFS7du3g4eFhHlO6W3VIiPXy9cDAQBiNRuTm5poTUmXx8fEBUFKPFgDS0tIwfvx47Ny5E0FBQWjZsmWFXsPd56lO77zzDt544w0cPHgQ586dg9FoLHOnRJPJVKmNkBwdHeHg4FCdoRIRPdSqnJC6u9hgbaDT6QAAt27dKrO/tJ1L84hqt9WLFyM9NRXefn6VTkiVzIq69vesqNvFQ0WDHurEM9BnXTe3CXIFVKFRkDdofLtNIoUyKIK1ooiIqEqaNWuGbdu2VWjsiBEjEBcXh/Xr1993OVdmZiYMBgMSEhLw/fffo2PHjtURrtmVK1fQoEEDeHndnhWsVCotxpQmgRISEtC6dWuLvnPnzsHFxQWNGjW653XOnz9vvk5BQQG6deuGBg0aYN++fejWrRsSExPLTHjd6zzVbdiwYZgxYwa++OILZGVloUOHDmX+fpKTkysUa6m1a9dixIgR1RgpEdHDrcoJqe7du1dnHNXisccewz//+U8sXrwYQ4YMsZgm/d133yE+Ph7t2rWDi4uLHaMkoppS3qwoQ94tFF89CVGnNrfJGvpCFdwGEvntbyqljm5wbNoeUhX/jSAiopq1bds2GAwGHDhwoEJflp4/fx4AMGbMmPsu77uftLQ06HQ682yd5ORkrFmzBq+++uo9a1/169cPCoUCs2fPxqZNm8xjL126hHXr1mHcuHH33IH79OnTWLNmDUaPHg2JRILff/8dKSkp+Pnnn9GhQwcAsNo9ryLnqYrSJYdqtdqqT6lUYuzYsZg/fz5MJhOWLFlS5jlYQ4qI6MFUOSFVGz3//PNYsWIFYmJi0LRpUwwYMADu7u44ffo0fv/9dygUCixdutTeYRJRNSt3VpTJCE1KHHTpV28PlsqgCo6E3MPfov5FVQqXExERVUV8fDx++eUXfP/99xVKqGRlZWHkyJEAUC01i65cuYJHH30Uw4YNQ3p6OlavXg1vb2/MnTv3nsf5+Pjg008/xbvvvotu3bph0KBBuHXrFlauXIlGjRpZ1FmSSCTYv38/hg8fjujoaFy6dAlr165FkyZN8OmnnwKAufbT559/jsceewy//fabuQRHaZH2ipynKkoLmc+cORMdOnSARCLB+++/b+5/6623sHDhQgAodykla0gRET2YOvXJSyqVYteuXViwYAECAgLw448/YunSpYiLi8PLL7+M48eP848GUR1j0haj6MIhqBPPWCSjSjpN0GffMD+VunrCpXUvOHgGmJNREgclnFo8ClVQBJNRRERkEyEhIVi+fHmFklFGoxEvvvgi8vLyAMCiplNVhYeHIygoCB9//DG+/fZbPPPMMzh48GCFioNPmTIFGzZsQHFxMWbOnIk1a9Zg4MCBOHLkiEVsK1euxNChQ7Fr1y6899572LFjByZMmIBDhw6ZN0Lq2bMnxo0bh507d2LOnDkwmUzm5Y5paWkVPk9VdO/eHWPGjMFvv/2GZcuWoUWLFhb93t7eCAsLQ+/evWtkWSAREQGCKIpiRQa+/PLLeO6556q8Q92DHm9r+fn5cHNzQ15e3gP9sSOiyuvs72+uIXXk+vVyx2lvXoMm+TxEo6HcMYa8Wyi6fAzKgBZwaBxqMSuKhcuJqDbjexECgEmTJmH16tX44YcfMHDgQHz33Xd47bXXqny+Hj16AABiYmKqJ8A66vz584iIiMCGDRvw0ksv2TscIqI6qcLTATZu3Ihz585V+UIPejwRUSmTthiFFw5Bfe20RTLKqCmESWdZC0Lm1ggubXtD4R1mTkYJEilUIW3g1PwRJqOIiKjW+v777/Hll19iw4YN5ln+FamxRA9u7ty5aNSoEYYMGWLvUIiI6qxK1ZA6deoUvv/++5qKhYjovrQ3E6FJPmeRiBJFEbqMRGiSz0Pm3BCO4Z0tZkLdmXRi4XIiInoY/PXXX3jzzTcxZ84cPPPMMxBFEb6+vti4cSOaNWuGqVOncqOeavbFF18gMTERubm5+PHHH7Fs2TJz4XciIqp+lUpIbdmyBVu3bq30RSq4KpCIqFwmbTGKr56CIS/Dsl2nKdlZ7+92Q/4t6G8lw8EryOocLFxOREQPg5s3b+LZZ5/F008/jenTpwMo2RXu448/xtixY5GYmAiVSlWlc7u4uCAyMrI6w60zfHx8MHv2bCgUCnz44YeYMGGCvUMiIqrTKlxD6rvvvnvgi7Vt2xZt2rR54PPYAus2ENnP3TWktBmJ0CSds6oVpc9KhTrxNESD3tzm4BUMZWArCNLb+XaJgxKqsGjI3ViUlIgeHnwvUn/pdDoUFxfD2dkZMpnl98fZ2dlwd3e3mAlMRET0MKrwDKnhw4fXZBxERGUQUXjxMAy5lrOiRIMe6sQz0GfdLnguyBVQhUZB3qCxxVi5uzdUoVGsFUVERA8NBweHcpeKNWzY0MbREBER1YxKLdkjIqppu7dsQVZGSQIq8+ZN/L51O3p2f8Tcb8i7heKrJyDqNOY2WUNfqIIjLZJOgkQKZVAEFI1DbBc8ERERERERVQgLqRBRrbF7yxa8OXgw9PqSJXgGgxHvTl+AvfuOAQCMxfkounj4djJKKoMqLBqOTdpbFS53jujOZBQREREREVEtxYQUEdUa//xkllWbKIpYuGQVAEDq6Ap5o8CSn1094dK6Jxw8AyzqaCh8wuAc0R1SR9ZbISIiIiIiqq24ZI+I7M6kU0N99RSuXLhYZn9mVq75Z1VgBKRO7nDwCrJIRAlyBRzD2kHegIXLiYiIiIiIajsmpIjIrnS3kqFOPAvRqEdYSADOX4i3GuPp0cD8syCTQ9E42KKfhcuJiIiIiIgeLlyyR0R2YdKpUXTxCIoTTkA0ltSMGj38OattrAUBeG/isDLPIUikUAVHwql5JyajiIiIiIiIHiI2S0h99dVXtroUEdVyulvJKDizB/rcmxbt3Tu3wdwJgyCTlvzTJJNKMOfNJ9G9Uxurc0gdXUsKl3uH2iRmIiIiIiIiqj42S0i9/fbbtroUEdVSJp0aRZeOlsyKMugt+vTZaSg8uxePhrmhgbMSAODu5oQnXx0FqZObxViFNwuXExERERERPcxsVkNKFEVbXYqIaiHdrRSok85YJaJEgx7qpDPQZ143t5Uu2xOkDhCkt/+ZKilcHg15g8a2CZqIiIiIiIhqRLXNkNq+fTvy8vLK7b+7LgwR1Q8mnQZFl46hOCHWKhllLMpFwdm9FskombsPhDLqQckaNIZLZC8mo4iIiIiIiOqAapsh9fbbb+P69euIjIxEjx490KNHD3Tr1g1ubm73P5iI6qTyZkWVEhxUgGgqeSKVQRUUCbmnP4Bvbw+SSKAKjGCtKCIiIiIiojqk2hJS165dQ3JyMmJiYhATE4NJkyYhOTnZnKAiovrDpNNAfe009Dk37jlOIldAFdIW2vQEOIZGQaJwtBwgCHCJ6MFaUURERERERHXMAy/Z+/zzz80/BwYG4rXXXsOaNWuQkJCAa9euYfLkycjLy0NoKGc3ENUHuswUFJz5n1UyShRN0N6Ih0mvtWiXu3vDKfxR62QUShJWTEYRERERERHVPYL4gNXG5XI5OnXqhHXr1iEsLKy64rK7/Px8uLm5IS8vD66u/EBMdD8mnQbqxNPQZ1vPijJqCqFOOAFjYQ5k7t5wbNqx3LpyglyBvs+Mxs0bN+Dt54cj16+XOY6IqK7jexEiIiKqyx54htTRo0eRn5+PNm3aYNmyZdURExE9ZEpmRe2xSkaJogjtzUQUno2BsTAHAGDISYepuOwNEGQNvODSuicESbXtt0BERERERES10AN/6mvXrh1iY2Px/vvv4/3330ePHj1w7dq16oiNiGo5k06DosvHUBwfC9Ggs+orvnwMmsTTgMkIAJAonODUsiukTg0sTySRQBXUGk7NO0PioLRR9ERERERERGQv1TINQSaT4aOPPkJsbCzUajUiIyOxfPny6jg1EdVSuszrZc6KAgB9dhoKz+6FIfemuc3BKxjOrXtA5tLQYqxU5QKXVt2h8AkrdxkfERERERER1S3Vui4mPDwcq1atQnR0NCZOnIgnnngCSUlJ1XkJIrIzk17796yo41azokSDHsUJJ1B85S9znyBXwLF5J6hC2kCQWm7s6dA4BM4R3SF1crNZ/ERERERERGR/svsPubePPvoIcXFxuHDhAuLj42EwGFBaJz02NhZvvvkmdu3a9cCBEpH96TKvQ514xioRVcqQlwF9Zor5uczdB6qQNpDIFRbjBJkDHMOiIHf3KfM8o6dMQWF+PpxZxJeIiIjo/9u78yCpq3v//6/Pp/eejdlwYDZmAURAEEZNREU0eE3yvYZcExMq8WIU7zVlbhKJlcSK1yUxQc2FJCZlUsYIliSmbmUxufGnRgMR0YhRdgUchn0TWWbv7unl/P4YaRimZ6Z79ul5PqqmZM7nnM/nfez+UDMvzuc0AKSlPn/Knm3bysjI0JQpUzR16lRNmzYt/t+SkpL+qnPQ8ck2wBmxcEiBPZsVPnm4237GGAV2vaVwwzH5yi+Uq6Ck02N4zpxC+atmyXb7BrJkABjx+FkEAACksz6vkNq1a5cqKyv7oxYAw1B3q6JioVbZHn/8e8uy5K2YIW800qG9/aAtb+kUecZVs1cUAAAAAIxyfQ6kCKOA9NTdqihjYgod3qXQoR3yV9fIlTc+fsx2uiWnu0N/25cpf3WNnOd+uh4AAAAAYFTqcyAFIP10tyoqGmxWoG6Dos2nJEmBPZvlyMyT7fYmPJd77AT5yqd12tAcAAAAADB68RsigLjuV0UZtR3bp+D+bVIsGm93jy2Xdc6KKEmynC75Ky/qsHoKAAAAAACJQArAh9pOHFJgz+bEe0W1BRXYs0mR+vfjbbbHL1/VbDmz8jr1d2YXyF81W7aHjcsBAAAAAJ0RSAGjXCwcUmDvFoVPHEp4PHzycKegyj22XN6yBI/hWba8JefLM34iG5cDAAAAALpEIAWMYm0nDrXvFRUOJTweOlqn4L5t8e8tl0e+iply5RZ16mt7M9o3Ls/MHbB6AQAAAADpgUAKSCNPLF+u5sZGZWZna/GSJV3262lV1GmuvPEKHdopEwnLmTtOvooZsl2eTv3chWXyTbiQjcsBAAAAAEmxjDFmqIsYjhobG5WTk6OGhgZlZ2cPdTlAUj5aUqKjhw6pqLhY/zh4MGGfnlZFnSt88rBMNCJXQWmnx/Ash0u+ihlyF5T0uXYAQEf8LAIAANIZyxmAUaKnVVHRlnoFD7wrf3VNh0/N6+pT8pxZefJX18j2+AekXgAAAABA+iKQAkaB7lZFGWMUOlyr0KEdkjEK7N0if3VN1yezLHmLJ8tTPEmWZQ9g1QAAAACAdEUgBaSxWDikwJ7NCp88nPB4NNiiQN0GRZtPnmkLNMtEwrKcrk79bY9f/urZcmblD1jNAAAAAID0RyAFpKmeVkWFP9inwL5tUiwab/eMnyhP8fmy7M4rn9wFJfJNmJEwqAIAAAAAIBUEUkAaMpE2tdb+M+GxWFtQgT2bFKl/P95me/zyVc2WMyuvU3/L4ZRvwgy5C0sHrF4AAAAAwOhCIAWkEfPhaicTiyU8Hj55RIE9m2QibfE299hyecumyXJ0/uvAkZkrf3WNHN6MgSkYAAAAADAqEUgBaeD0J+iZSLjbfiYSiodRlssjX8VMuXKLEvb1FE+St+R8Ni4HAAAAAPQ7AilghOtur6hzuQrLFT51VLJs+SpmyHZ5OvWx3b72jcuzCwaiXAAAAAAACKSAker0qqjwiUMJj5tYVJH69+XKGx9vsyxL/okXS5Yty7I6jXHlF8tfMZONywEAAAAAA4pAChiBelwVZWJq3vaKYoEm+Sd/RK4x58UPWbajU3fLdso3YbrcY8sHqmQAAAAAAOIIpIARJBYOKbBns8InD3fRw8T7xQJNkqTA3i1yzrimy72gHBlj2jcu92UORMkAAAAAAHRCIAWMED2tiooGWzp8ep4k2f5s+atmdxlGecZNlLd0iiybjcsBAAAAAIMnbX8L/eMf/6j58+crPz9fPp9PFRUVWrhwoQ4cODDUpQEpiYVDannvTbXW/jNhGGWMUduxvWreukYmFou3e8ZPVObUuXL4szuNsd1eZUy5TL7yqYRRAAAAAIBBl3YrpIwxuv322/X444+rqqpKn//855WVlaXDhw/rlVde0b59+1RaWjrUZQJJaTtxSIE9mzutfDot1hZUYM8mRerf16tb9qm+OShJqm8J6R+7mzSvtHPY5ModJ1/lzISfsAcAAAAAwGBIu0Dqpz/9qR5//HHdcccd+slPfiKHo+MGzpFIZIgqA5LX815R7QJ7t8TDqP9+ck28PRKJ6ht3P6xlS7+leXMvldS+mbm3bKo8RZUDWjsAAAAAAD2xjDFmqIvoL4FAQCUlJRozZox27twpp7P3eVtjY6NycnLU0NCg7OzOjzwBA6Xt+MH2vaK6WBV1tlioVU1b1ujG+57RsVMtnY5Pu2Cinv7VI3L4c+Svnp3w8T0AwPDEzyIAACCdpdUKqZdeekknT57UzTffrGg0qj//+c967733NGbMGH3sYx9TdXV1l2NDoZBCoTP78zQ2Ng5GyUBcMquiTDQiy3HmtrU9fmVMukQnm1Yk7F+354A8RVXyll0gy3Yk7AMAAAAAwGBLq0DqrbfekiQ5nU7NmDFDO3fujB+zbVt33nmn/ud//ifh2KVLl+qBBx4YlDqBc/W0KsrEogoe2K7IqaPKnD5XlsMVP+bMKVR+fq7ef/94p3ETp0yRb8L0AasbAAAAAIDeSKuP1zp27JgkadmyZcrOztabb76ppqYmrV27VpMmTdKyZcv085//POHYu+++Ww0NDfEvPo0PgyH+CXq73uoyjIq21Kt52ytqO1qnWKhFgX3vdOrzrTsXy7KsDm2WZemOe+8bkLoBAAAAAOiLtAqkYh9+5L3b7dazzz6riy++WJmZmbriiiv0u9/9TrZta9myZQnHejweZWdnd/gCBlLb8YNq2vy3Lh/RM8YoeOg9Nb+zVrFAU3ujZcvhy9S5W7/Nm3upli39VnzfNJfLpV/88Y+69lOfGtA5AAAAAADQG2kVSOXk5EiSampqNH78+A7Hpk6dqsrKStXV1am+vn4IqgPaJbUqKtiilnfXKXRwu/Rh+GT7s5U5ba4846o7rYaSpI9d9zHljx0rScofO5YwCgAAAAAwbKXVHlKTJ0+WJI0ZMybh8dPtgUCgyz7AQOpxryhjFP5gnwL7tkmxaLzdM26iPCWTu9yY3D12gnzl0xIGVQAAAAAADDdpFUjNmzdPkrR9+/ZOx8LhsHbt2qWMjAwVFhYOdmkY5ZL6BD1jFNj1Voc+tscvX9UsObPyE46xnG75Ky+SK29cv9cMAAAAAMBASatH9qqqqnTttddq165deuKJJzoce+ihh1RfX69Pf/rT8X12gMHQ015Rp1mWJUdmXvx7V2G5Mqdf1WUY5cwuUNaF8wijAAAAAAAjTtolM4899pguu+wy3XbbbXr22Wd1/vnna+PGjVq9erXKy8v1wx/+cKhLxCgRawsqsHezwiePJD3GXVSpaMspufJL5MotStzJsuUtOV+e8RN5RA8AAAAAMCKl1QopqX2V1FtvvaWbb75Zb7/9th599FHV1tbqjjvu0Jtvvqmioi5+yQf6Udvxg2rasrrbMCrSeFyhw7Ud2izLkr+6psswyvZmKnPqFfIWTyKMAgAAAACMWGm3QkqSSktLtWLFiqEuAyPIE8uXq7mxUZnZ2Vq8ZEmvz5PMqigTiyp4cIfajuySJDkyc+XMLujx3O7CMvkmXCjLkZa3LQAAAABgFOE3W0DSr5Yv19FDh1RUXNzrQKrt+AEF9m7t8hP0JCna0qDWurcVCzSdGXdsX7eBlOVwyVcxQ+6Ckl7VBQAAAADAcEMgBfRRUquijFHbkV0KHtwuGdPeaNnylk6Ru6iqy3HOrDz5q2tke/z9XTYAAAAAAEOGQArog/ZVUVtkIuEu+8SCLWrdvUHRppPxNtufLX/VbDn82YkHWZa8xZPlKZ4ky0q7rd4AAAAAAKMcgRTQC7G2oAJ7Nit8qvtVUeEP9iuwb6sUi8bbPeMmylMyWZbtSDjO9vjlr5otZ3Z+v9cNAAAAAMBwQCAFpKjtgwMK7Ot+r6h2Rm3H9sbDKNvjl69qlpxZXQdNrvwS+StmyHK6+q9gAAAAAACGGQIpIEnJrIo6m2XZ8lXNUvO2V+TKL5GvfKosR+KgyXI45ZtwodyFZf1ZMgAAAAAAwxKBFJCE9lVR3e8VZSJhxSIhObyZ8TaHL0tZF14j2+PrcpwjM1f+6tkdxgEAAAAAkM4IpIBuJLsqKtJ4XK11G2TZDmVOv6rD/lDdhVGe8RPlLZkiy+6fjctvXbJEzY2NyszuYrN0AAAAAACGAQIpoAttH25I3u2qqFhUwQPb1Xa0rv17ScGDO+Qrm9rtuW23T76qWXLlFPZnyVq8ZEm/ng8AAAAAgIFAIAWcI9YW+HBV1NFu+0VbGtRa97ZigaZ4myMrX57zKrod58obJ1/lRbKd7n6pFwAAAACAkYZACjiLiUXVtGV196uijFHoSK1CB3dIxrQ3Wra8pVPkLqqSZVkJx1m2Q97y6fKcN2EAKgcAAAAAYOQgkAIktT9s174xeXdhVCzYota6DYo2n4y32f5s+atmy+Hvet8mhz9H/ok1cviy+q9kAAAAAABGKAIpjHptH+xXLBzqsZ+JhNW87RWZ6JnAyjOuWp6S8ztsYn4uT1GVvGUXdNsHAAAAAIDRhEAKo1asLaDA7k0K179/eoFUtyynS+5xVQod3CHL45e/apacWfld93d55K+aJdeY8/qxagAAAAAARj4CKYxKbR/sV2Dv1g6rnRIxxnTYE8ozfqIkS56iClkOV5fjnGPOk7/yItlub3+VDAAAAABA2iCQwqgSCwUU2PPhqqhumEhYgX1bZXv88pacH2+3LFve4kldD7Rt+Uqnyl1U2eXm5gAAAAAAjHYEUhg12o7tU2Dfth5XRUUaj6u1boNMW0CSJeeY8+TMzO3x/A5flvzVNXJk5PRTxQAAAAAApCcCKaS9WCig1j2bFOlhVZQkmWhYLdtfO9NgOz4MproPpNxjJ8hXPk2Wg1sKAAAAAICe8Nsz0loyq6LWvLJeJ0/VS5JONTTr1S37dMWF5XJk5ctfNUu2x9/lWMvplr/yIrnyxvV36QAAAAAApC17qAsABkIsFFDzjn+odffGbsOo1X9/Q0u+/ZAikagkKRKN6d4Va7T+iFHGlDndhlHO7AJlXTiPMAoAAAAAgBQRSCHttB3bp6Ytq3t8RC8WDurhHz7Wqd0Y6en/e73rTcktW97SC9oDK7evP0oGAAAAAGBU4ZE9pI1YqPXDvaKOJdXfcrh0sqEl4bG6PQcSttveDPmra5La5BwAAAAAACRGIIW0EDq2V8F922SikaTHWLZD+Xlj9P4HJzsdq6oo7dTmLiyTb8KFbFwOAAAAAEAf8cgeRrRYqFXNO15XYPemHsOo8MkjirY2dmj71jf+o9OjeZZl6ZZFN5z53uGSv7pG/qpZhFEAAAAAAPQDAimMWKFjez/cK6r7R/RMJKzWug1qrX1TrXUbZGKx+LF5cy/VsqXfktPZHjQ5nU4te+hbmnflpZIkR2aesi6cJ3dBycBNBAAAAACAUYblHhhxYqFWte7epEhDz3tFRRqPt4dQbYH2sa0NCp84JHfhmUfy5s29VHm5OTr2wQnl5ea0h1GWJW/xZHmKJ8myyG0BAAAAAOhPBFIYUULv71Fw/zs9Pp5nYlEFD+5Q25FdZxptp3wTpsnVw2on2+1r37g8O78/SgYAAAAAAOcgkEKvPbF8uZobG5WZna3FS5YM6LXaV0VtVKThgx77Rlsa1Fq3QbHAmf2iHFn58lfNku3xdzvWsh3KuvBqWU5Xn2sGAAAAAACJEUih1361fLmOHjqkouLiAQukjDFqO7Y3uVVRxqjtyC4FD26XjGlvtGx5S86Xe1x1p83LE7GcLsIoAAAAAAAGGIEUhq1UVkVJ7ftDBQ+8G//e9mfLXzVLDn9Ot+McGWNkuTx9qhUAAAAAACSPQArDjjFGbe/vUXD/uzKx7ldFnc2RMUae8RMVOlwrz7hqeUrOl2U7uh3jGTdR3tIpSa2eAgAAAAAA/YNACsNKLNSq1roNijQe77lvOCTL6e4QJnmKz5czt0jOzLxux9pur3xVs+TKGdvnmgEAAAAAQGoIpDAspLoqKnzyiAJ7NrWvhBo/Md5u2XaPYZQrt0i+yotk85geAAAAAABDgkAKQy4abFFg98akVkWZSFiB/dsU/mC/JCl4cIecY8b2uE+UJMm25SubJk9RZV9LBgAAAAAAfUAghSGT6qqoSONxte7eKBNqjbc5x4yV5fL2ONbhy5Z/Yo0c/uw+1QwAAAAAAPqOQApDIqVVUbGoggd3qO3IrjONtkO+CdPlKijrcUNyz3kV8pZP63GDcwAAAAAAMDgIpDCo2ldF7VZw//akVkVFWxvUumuDYoHGeJsjK1/+yotkezO6HWs53fJXXSRX7rg+1w0AAAAAAPoPgRQGTTTYrMDuTUmtipKkcMMxte58QzKmvcGy5S05X+5x1T2uinLmFMpfNUu229fXsgEAAAAAQD8jkMKAO7Mq6l2ZWDTpcc7MPNkev2LBFtm+bPmrZ/W8eblly1s6RZ4kQisAAAAAADA0CKQwoKLBZgXqNirSdCLlsZbDKV/VLIVPHpG35Pwe94CyvZnyV8+WMzO3t+UCAAAAAIBBQCCFAWGMUdvR3QoeSG5VVCwcUnDfVnlKzpfDmxlvd2bmyZmZ1+N4d2GZfBMulOXgLQ0AAAAAwHDHb+/od9FAswK7NyjSdDKp/uGTRxTYs0km0qZYqFUZF1wuy7KTGms5XPJVzpQ7v7gvJQMAAAAAgEFEIIV+k+qqKBMNK7Bvm8If7I+3xYItigVb5PBl9TjemZUnf3WNbI+/T3VL0q1Llqi5sVGZ2dl9PhcAAAAAAOgegRT6RTTQrNa6DYo2J7cqKtJ4Qq27N8iEWuNtztwi+SpmynZ5uh9sWfIWT5aneFLSK6l6snjJkn45DwAAAAAA6BmBFPrMxCJq3romuVVRsaiCB3eo7ciuM422Q77y6XIVlvX4yXi2xy9/1Ww5s/P7WjYAAAAAABgiBFLoNWNM+38jkaTCqGhro1rr3lastTHe5sjKl7/yItnejB7Hu/KL5a+YKcvp6n3RAAAAAABgyPXP807D1COPPCLLsmRZlt54442hLidtGGMUPFwrEw6lNi4cOhNGWba8pRcoY8qcHsMoy3bKXzVLGRMvJowCAAAAACANpO0Kqe3bt+vee+9VRkaGWlpahrqctBENNKm1bmPSe0WdzZlTKHdRpSINx+WvniWHP6fHMY6MMfJPrJHDm9mbcgEAAAAAwDCUloFUNBrVokWLNGPGDE2aNEmrVq0a6pJGPGNiCh2pU/DgdikWS6K/UaThmJw5YzvsC+UtvUAqlSzb0eM5POMmyls6RZad1gv5AAAAAAAYddLyN/2HH35Ymzdv1pNPPimHo+fgA92Ltjaq+Z1XFdz/TlJhVCwcUut7b6p15xtqO7a3wzHLdvQYRtlurzKmXCZf+VTCKAAAAAAA0lDarZDatm2bHnjgAd1zzz2aOnVq0uNCoZBCoTN7IjU2NnbTe3QwJqbQ4V0KHtqRVBAlSeGTRxTYs0km0iZJCu5/R668cbJd3qTGu3KL5Ku8SLbL0+u6AQAAAADA8JZWgVQkEtHNN9+sKVOm6Nvf/nZKY5cuXaoHHnhggCobeaKtjWrdvVHR5lNJ9TeRsAL7tyn8wf54m+V0y1cxM7kwyrblK5smT1Flb0sGAAAAAAAjRFoFUj/4wQ+0efNmrV+/Xi5Xap/Gdvfdd2vJkiXx7xsbG1VaWtrfJQ57ya6KWvPKep08VS9JOnmqXv/fqid1+ZSi+HHnmCL5KmcmtdLJ4c+Wv7pGDn92n+sHAAAAAADDX9oEUps3b9aDDz6ou+66S7NmzUp5vMfjkcczuI+JPbF8uZobG5WZna3FZ4VhQyXa2qjWug2KttR322/NK+u15NsPxb+PRKL678df0He/NE9XzKyUr3y6XIVlHTYz74rnvAp5y6cltck5AAAAAABID2kTSC1atEhVVVW6//77h7qUpP1q+XIdPXRIRcXFQxpIta+KqlXw4E7J9LxX1MM/eiLBOaTfrNmuT9x0q2xvRo/nsFwe+Ssvkiu3qMe+AAAAAAAgvaRNILV582ZJktebeL+ij370o5KkP/7xj1qwYMFglTXsRVsa2veK6mFV1NlOnEi8r9Teo/VJhVHOnLHyV82S7U5uo3MAAAAAAJBe0iaQuvXWWxO2r127VrW1tbr++utVWFioCRMmDG5hw5QxMYUOvafgofeSWhUlSSYWk2Xbys/P1fvvH+90vKqihz23LFve0inyjKtO6nE+AAAAAACQntImkHriic6PkUnSzTffrNraWt199936yEc+MshVDU/tq6I2KNrSkFR/Y4zCx/creHCnMi+4Qt+6c7G+cffDMsbE+1iWpVsW3dDlOWxvpvzVs+XMzO1z/QAAAAAAYGSzh7oADB5jYgoe3KGmba8kHUbFwiG11r6pwO5NMm0Bte7eoKuuvETLln5LTmd7nul0OrXsoW9p3pWXJjyHu7BMWdOvIowCAAAAAACS0miFFLqX6qooSQqfOqLA7s0ykVC8zfb4JRPTvLmXKi83R8c+OKG83JyEYZTlcMlXOVPu/OJ+mQMAAAAAAEgPaR9IrVy5UitXrhzqMoaMicUUOpziXlHRsAL7tin8wf54m+V0y1cxU668cUmdw5mVJ391TXuABQAAAAAAcJa0D6RGs2hLg1rrNijamvyqqEjTCbXWbZAJtcbbnGOK5KucKdvl6fkEliVv8WR5iifJsngiFAAAAAAAdEYglYZMLKbQoZ0KHn5POmvj8Z6EDtcqeODdMw22Q77y6XIVliX1qXi2xy9/1Ww5s/N7UzYAAAAAABglCKTSTKSlXoG6DYq2NqY81vZlxf/syMqTv3KWbG9GUmNd+cXyV8yU5XSlfF0AAAAAADC6EEilid6uijqbK7dI7rETZHv8co+rTmpVlCRZTpcyJl7cq2sCAAAAAIDRh0AqDUSaTymwe2NKq6JiwRa1HT8gT/HkDsGTr2JG8hf+cJxlO5IfAwAAAAAARj0CqRHMxGIKHtqh0OHapFdFGWMU/mC/Avu2SrFo+2qowrKUr+0ZNzG5Tc4BAAAAAADOQSA1QkWaTylQt1HRQAqrosIhBfZsUuTU0Xhb6GidXAWlST+eZ7u98lXNkitnbMo1AwAAAAAASARSI46JRRU8uEOhI7tS2isqfOqIArs3y0RC8TZXYZl8ZdOSDqNcuUXyVV7EyigAAAAAANAnBFIjSPuqqA2KBpqSHmOiYQX2bVP4g/3xNsvplq9iplx545I7iW3LVzZNnqLKVEsGAAAAAADohEBqBDCxqIIHdih0NLVVUZGmE2qt2yATao23OccUyVc5Q7bLm9Q5HL5s+SfWyOHPTrluAAAAAACARAikhrlI08n2T9BLYVXUaW1Hd58Jo2yHfOXT5SosS/oRPc95FfKWT+NT9AAAAAAAQL8ikBqm2ldFbVfoaF1Kq6LO5p0wQ5GmE7I9GfJXzZLtzUhqnOV0y191kVy5ST7SBwAAAAAAkAICqWEo0nRCrbs3KhZoTnqMMUaxYIscvsx4m+1yK+OCy2V7MpJeFeXMKWwPr9y+lOsGAAAAAABIBoHUMGKiEQUPblfoSF1K42KhVrXWbVAs0KTM6fNku8/sD+XwZnYz8iyWLW/pFHnGVScdXgEAAAAAAPQGgdQw0b4B+UbFgqmtigofP6DA3q1SLCJJCuzZrIzJl6Z0bdubKX/1bDkzc1MaBwAAAAAA0BsEUsOAiYbV/M6rKY2JhUMK7NmkyKmj8TbL7ZNnXFVK53EXlsk34UJZDt4KAAAAAABgcJBCDCFjYu3/jUZTGhc+dVSB3ZtkIqF4m6ugVL7y6bKcrqTOYTlc8lXMkLugJKVrAwAAAAAA9BWB1BAw0YiCB96VCbelOC6swL53FP5gX7zNcrrlq5ghV974pM/jyMxTxsQa2R5/StcHAAAAAADoDwRSgyzSeLz9E/SCLSmNM8aoZfvrirbUx9ucY86Tr2Jmh03Mu2VZ8o6fJE/JZFmWndL1AQAAAAAA+guB1CAx0YiC+99R6P09vRpvWZbc46oU2PW2ZDvkK58uV2FZ0p+IZ7t97RuXZxf06voAAAAAAAD9hUBqEEQaj6u1boNiodY+ncedX6JYsEWu/BI5vBlJj3PlF8tfMTPp/aUAAAAAAAAGEoHUAOrtqihjjNqO1ikaaJa/cmaHY97iyUmfx7Kd8k6YJs/YCSldHwAAAAAAYCARSA2QcMMHCuzemPKqqFioVa11GxRtOtF+npxCufKLU76+IyNH/uqL5fBlpjw2WbcuWaLmxkZlZmcP2DUAAAAAAED6IZDqZyYaUWD/O2rrxaqo8PEDCuzdKsUi8fZosFmpPmjnGVctb+kFsuyB3bh88ZIlA3p+AAAAAACQngik+lG44ZgCuzf1Yq8oo9bafypy6ki8xXL75K+aldIm5JbLI3/VbLnGjE3x+gAAAAAAAIOHQKofmEi4fVXUsb29Gx8OdQijXAWl8pVPT2kTcteY8+SrmiXb5elVDQAAAAAAAIOFQKqPwvXH2veKagukNM7EojKRtvY/GyNJspxu+SpmyJU3PvkT2bZ8ZVPlKapK6foAAAAAAABDhUCql/q6KkqWLcnEv3WOOU++ypmyXd6kT+HwZclfXSNHRk7vagAAAAAAABgCBFK9EK5/v32vqBRXRZ3NsixZTnf7n50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-      "text/plain": [
-       "<Figure size 1200x500 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "uncf=10\n",
-    "f=np.array([ufloat(605,uncf),ufloat(796,uncf),ufloat(1002,uncf),ufloat(1203,uncf),ufloat(1407,uncf),ufloat(1602,uncf),ufloat(1804,uncf),ufloat(1990,uncf),ufloat(2203,uncf),ufloat(2401,uncf),ufloat(2608,uncf)])\n",
-    "pd22=np.array([ufloat(34,unc),ufloat(39,unc),ufloat(45,unc),ufloat(52,unc),ufloat(63,unc),ufloat(72,unc),ufloat(85,unc),ufloat(98,unc),ufloat(113,unc),ufloat(130,unc),ufloat(149,unc)])\n",
-    "pd22f=pd22-ofset\n",
-    "vd22=(pd22f*(2/rhoLuft))**(0.5)\n",
-    "def v_L(f,a=1,b=1):\n",
-    "    return a*(f-b)\n",
-    "data = kafe2.XYContainer(x_data=[x.n for x in f],y_data=[y.n for y in vd22])\n",
-    "data.add_error(axis='y', err_val=[y.s for y in vd22])\n",
-    "data.add_error(axis='x', err_val=[x.s for x in f])\n",
-    "data.label = 'Modellierung  $v_L(f)$ '\n",
-    "fit=kafe2.XYFit(xy_data=data,model_function=v_L)\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\"v_L\")\n",
-    "kafe2.plot(fit, x_label=r\"$f\\, [Hz]$\", y_label=r'$v_L$ [m/s]')\n",
-    "a=ufloat(fit.parameter_values[0],fit.parameter_errors[0])\n",
-    "b=ufloat(fit.parameter_values[1],fit.parameter_errors[1])\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a798bf66-7008-4eb9-993e-6868389f0d13",
-   "metadata": {},
-   "source": [
-    "**D I S K U S S I O N**\n",
-    "\n",
-    "Wir erhalten $\\chi^2/ndf=0.017$ und $\\chi^2 prob=1$ das Modell beschreibt die Daten also sehr gut. Vieleicht wurde aber ein statistische Unsicherheit überschäzt. Insbesndere die Unsicherheit auf b ist mit ca $\\frac{3}{4}$ sehr hoch. Diese spielt aber für hohe Frequnezen mit der wir im Folgendem arbeiten werden kaum einen Unterschied, da meistens gelten wird $f\\gg b$. \n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "feca48b4-4bfe-4fef-a577-27dc1f8fe1ac",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "## Aufgabe 3: Strömungswiderstand"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "81728adc-faef-411b-94e7-1f0efdcee00f",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### Aufgabe 3.1: Abhängigkeit von der Stirnfläche \n",
-    "\n",
-    "Messen Sie bei konstanter Strömungsgeschwindigkeit $v_{s}$ (entsprechend $f=2600\\,\\mathrm{U/min}$) den **Strömungswiderstand $F_{W}$ von drei Kreisscheiben** mit unterschiedlichen Radien $r_{i}$ und überprüfen Sie die Abhängigkeit von $F_{W}$ von der Fläche der Kreisscheiben.\n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "attachments": {
-    "4b21e270-884c-436f-ac4c-5715fae55ae4.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "id": "77d2cb91-0b79-4856-984e-558bf978671e",
-   "metadata": {},
-   "source": [
-    "**V E R S U C H S B E S C H R E I B U N G**\n",
-    "\n",
-    "![Stroemungswiderstand.png](attachment:4b21e270-884c-436f-ac4c-5715fae55ae4.png)\n",
-    "Quelle: Hinweise für den Versuch Aeromechnik-Strömungswiderstand\n",
-    "\n",
-    "\n",
-    "Es wurde wie in der Skizze gezeigt Kreisscheiben mit dem Durchmesser $d= 0.04, 0.056$ und $ 0.08 \\,\\mathrm{m}$ in Luftstrom gehänget und die Kraft gemmessen die der Luftstrom in seiner Ausbreitungsrichtung auf die Scheiben auswirkt. Indem ein mit der Scheibe fest verbundner Waagen parallel zur Windrichtung mit einem Newtenmeter verbunden wurde. Zur Bestimmun des Ofsets wurde die Kraft auf das Newtometer abgelesen die auftrat wenn keine Scheiebe an den Waagen angehängt war. Dies entspricht der Kraft auf dei Halterug.\n",
-    "Mit    \n",
-    "$F_{W} = c_{W}\\,\\frac{1}{2}\\,\\rho\\,v^{2}\\,A =  c_{W}\\,\\frac{1}{2}\\,\\rho\\,(a(f-b))^{2}\\,A$\n",
-    "\n",
-    "\n",
-    "wobei die Kraft auf die Halterung noch addiert werden muss. erhält mann:   \n",
-    "$F_{W} =  c_{W}\\,\\frac{1}{2}\\,\\rho\\,(a(f-b))^{2}\\,A+F_{offset}$.   \n",
-    "Beziehungsweise mit $c_{wi}=c_w/4$ :   \n",
-    "$F_{W} =  c_{wi}\\,\\frac{1}{2}\\,\\rho\\,(a(f-b))^{2}\\,4A+F_{offset}$    \n",
-    "da Kafe2 sonst die Paramtereinschränkungen nicht akzeptiert. \n",
-    "\n",
-    "Gemessen wurde:\n",
-    "\n",
-    "|r in cm |$F_w$ in N|\n",
-    "|-----|--------|\n",
-    "|$2\\pm 0.01$|$0.19\\pm 0.005$|\n",
-    "|$2.8\\pm 0.01$|$0.3\\pm 0.02$|\n",
-    "|$4\\pm 0.01$|$0.5\\pm 0.05$|\n",
-    " \n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "1bfc8093-d438-45b4-a19b-46c9bfb383fb",
-   "metadata": {},
-   "source": [
-    "**L Ö S U N G**\n",
-    "\n",
-    "Aus der Anpassung ergibt sich  $c_W(Kreisscheibe)=0.82 \\pm 0.03$\n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "d80b5f7e-e04a-4762-8dd8-8386234125a7",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.00563+/-0.00024\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x500 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<kafe2.fit._base.plot.Plot at 0x7f77effb9490>"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "offset=ufloat(0.035,0.02)\n",
-    "dkreis=np.array([ufloat(0.04,0.0002),ufloat(0.056,0.0002),ufloat(0.08,0.0002)])\n",
-    "Fa=np.array([ufloat(0.19,0.005),ufloat(0.3,0.02),ufloat(0.5,0.05)])\n",
-    "A=(dkreis**2)*np.pi\n",
-    "rhoLuft=ufloat(1.204,0.01)#Dichte von Luft unter \"normalen\" Bedingungen\n",
-    "fn=ufloat(2600,20)\n",
-    "def F_A(A,rho=1,f=1,a=1,ofs=1,b=1,c_wi=1):\n",
-    "    return 0.5*c_wi*((a*(f-b)))**2*rho*A+ofs\n",
-    "    \n",
-    "data = kafe2.XYContainer(x_data=[x.n for x in A],y_data=[y.n for y in Fa])\n",
-    "data.add_error(axis='y', err_val=[y.s for y in Fa])\n",
-    "data.add_error(axis='x', err_val=[x.s for x in A])\n",
-    "data.label = r'Modellierung zur Bestimmung von $c_w$ '\n",
-    "fit=kafe2.XYFit(xy_data=data,model_function=F_A)\n",
-    "fit.add_parameter_constraint(name=\"rho\", value=rhoLuft.n, uncertainty=rhoLuft.s)\n",
-    "fit.add_parameter_constraint(name=\"f\", value=fn.n, uncertainty=fn.s)\n",
-    "fit.add_parameter_constraint(name=\"a\", value=a.n, uncertainty=a.s)\n",
-    "fit.add_parameter_constraint(name=\"ofs\", value=offset.n, uncertainty=offset.s)\n",
-    "fit.add_parameter_constraint(name=\"b\", value=b.n, uncertainty=b.s)\n",
-    "print (a)\n",
-    "fit.do_fit()\n",
-    "fit.assign_model_function_latex_name(r\"v_L\")\n",
-    "kafe2.plot(fit, x_label=r\"$A [m^2]$\", y_label=r'$F_A [N]$')\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "97deef39-6ccc-4db6-8ce0-21f14e0f5a2e",
-   "metadata": {},
-   "source": [
-    "**D I S K U S S I O N**\n",
-    "\n",
-    "Wir erhalten $\\chi^2/ndf=1.876$ und $\\chi^2 prob=0.156$. Die Daten werden anähernd durch das Model beschriebn . Vieleicht wurde auch ein Unsicherheit unterschäzt. Auch möglich ist es, dass eine ungenaue Messung das Ergebniss verfälscht, da die Messung mit drei Messweren, darauf sehr sensetiv ist. Dafür spricht auch dass unser Wert mit em Wert aus dem Datenblatt $c_w=1.1$ nicht vereinbar ist. Auch möglich ist, dass die Kreisscheiben nicht exakt senkrecht zum Luftstrom waren, dies führt zu Änderungen der effektiven Fläche und der Geometrie.  \n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "615aac0f-25ed-4fb8-9a5c-77c11c6c1036",
-   "metadata": {},
-   "source": [
-    "### Aufgabe 3.2: Abhängigkeit von der Geschwindigkeit des Luftstroms\n",
-    "\n",
-    "Messen Sie für **eine oder zwei Kreisscheiben Ihrer Wahl** $F_{W}$ in Abhängigkeit von $v_{s}$.\n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "19764f8d-6370-41f5-aaed-e1433d41d7ea",
-   "metadata": {},
-   "source": [
-    "**V E R S U C H S B E S C H R E I B U N G**\n",
-    "\n",
-    "Die Messung wir wie in 3.1 Durchgeführt es wird aber nur die Kreisscheibe mit Durchmesser 8 cm betrachtet und die Frequnz der Turbine variert. Die Modelfunktion bleibt:   \n",
-    "$F_{W} =  c_{W}\\,\\frac{1}{2}\\,\\rho\\,(a(f-b))^{2}\\,A+F_{offset}$\n",
-    "\n",
-    "Es wurde gemeesen:\n",
-    "|f in Hz |$F_w$ in N|\n",
-    "|-----|--------|\n",
-    "|$607\\pm 10$|$0.03\\pm 0.01$|\n",
-    "|$804\\pm 10$|$0.04\\pm 0.01$|\n",
-    "|$1006\\pm 10$|$0.06\\pm 0.01$|\n",
-    "|$1209\\pm 10$|$0.095\\pm 0.01$|\n",
-    "|$1406\\pm 10$|$0.15\\pm 0.01$|\n",
-    "|$1604\\pm 10$|$0.2\\pm 0.01$|\n",
-    "|$1813\\pm 10$|$0.25\\pm 0.01$|\n",
-    "|$2005\\pm 10$|$0.315\\pm 0.01$|\n",
-    "|$2204\\pm 10$|$0.36\\pm 0.01$|\n",
-    "|$2402\\pm 10$|$0.44\\pm 0.01$|\n",
-    "|$2600\\pm 10$|$0.51\\pm 0.01$|\n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d4584713-251b-44ab-b5a3-5eef6ee5ad9c",
-   "metadata": {},
-   "source": [
-    "**L Ö S U N G**\n",
-    "\n",
-    "Aus der Anpassung lässt sich erhalten: $c_w=0.87\\pm 0.12 $\n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "id": "038c8812-e458-4ae8-abb7-e6aad6c26a95",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x500 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<kafe2.fit._base.plot.Plot at 0x7f4180d6d550>"
-      ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "uncf=10\n",
-    "uncF=0.01\n",
-    "offset32=ufloat(0.01,0.002)\n",
-    "f1=np.array([ufloat(607,uncf),ufloat(804,uncf),ufloat(1006,uncf),ufloat(1209,uncf),ufloat(1406,uncf),ufloat(1604,uncf),ufloat(1813,uncf),ufloat(2005,uncf),ufloat(2204,uncf),ufloat(2402,uncf),ufloat(2600,uncf)])\n",
-    "Fk1=np.array([ufloat(0.03,uncF),ufloat(0.04,uncF),ufloat(0.06,uncF),ufloat(0.095,uncF),ufloat(0.15,uncF),ufloat(0.2,uncF),ufloat(0.25,uncF),ufloat(0.315,uncF),ufloat(0.36,uncF),ufloat(0.44,uncF),ufloat(0.51,uncF)])#Kraft auf scheibe mit r=0.08m in N\n",
-    "A=ufloat(0.04,0.002)**2*np.pi\n",
-    "def F_A2(f,rho=1,A=1,a=1,c_w=1,ofs=1,b=1):\n",
-    "    return 0.5*c_w*(a*(f-b))**2*rho*A+ofs\n",
-    "    \n",
-    "data = kafe2.XYContainer(x_data=[x.n for x in f1],y_data=[y.n for y in Fk1])\n",
-    "data.add_error(axis='y', err_val=[y.s for y in Fk1])\n",
-    "data.add_error(axis='x', err_val=[x.s for x in f1])\n",
-    "data.label = r'Modellierung zur Bestimmung von $c_w$ '\n",
-    "fit=kafe2.XYFit(xy_data=data,model_function=F_A2)\n",
-    "fit.add_parameter_constraint(name=\"rho\", value=rhoLuft.n, uncertainty=rhoLuft.s)\n",
-    "fit.add_parameter_constraint(name=\"A\", value=A.n, uncertainty=A.s)\n",
-    "fit.add_parameter_constraint(name=\"a\", value=a.n, uncertainty=a.s)\n",
-    "fit.add_parameter_constraint(name=\"b\", value=b.n, uncertainty=b.s)\n",
-    "fit.add_parameter_constraint(name=\"ofs\", value=offset32.n, uncertainty=offset32.s)\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\"v_L\")\n",
-    "kafe2.plot(fit, x_label=r\"$f [Hz]$\", y_label=r'$F_A [N]$')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d2f10141-828a-4fbe-83f0-0d0ea90f8fe0",
-   "metadata": {},
-   "source": [
-    "**D I S K U S S I O N**\n",
-    "\n",
-    "Wir erhalten $\\chi^2/ndf=0.746$ und $\\chi^2 prob=0.682$ das Modell beschreibt die Daten also sehr gut. Auch der Pull zwischen dem Ergebniss und dem aus der 3.1 ist mit 0.40 viel kleiner als 1, die Werte sind also Kompatibel.\n",
-    "Da sie aber nicht mit dem Literaturwert aus dem Datenbalatt $c_w=1.1$ übereinstimmen gehen wir davon aus, dass n unserem Aufbau die Kreisscheiben nicht exakt senkrecht auf den Luftstrom Stand. Da der entsprechende Aufbau über zwei verschiedene Messungen zwar untereinader Kompatible aber mit dem Litraturwertinkopatieble Werte ergab. Durch eine nicht exakt senkrechte Ausrichtung ändert sich sowohl die Geometrie des Problems als auch die größe de Stirnfläche.   \n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "44dd4e62-90df-4b5d-83f5-7564c1b22df9",
-   "metadata": {},
-   "source": [
-    "### Aufgabe 3.3: Abhängigkeit von der Körperform \n",
-    "\n",
-    "Messen Sie nun bei konstanter Strömungsgeschwindigkeit $v_{s}$ (entsprechend $f=2600\\,\\mathrm{U/min}$) den **Strömungswiderstand $F_{W}$ von mindestens 2 der folgenden Körper**, die am Versuch ausliegen:\n",
-    "\n",
-    " * Kugel,\n",
-    " * Halbkugel (die Messung ist hier in zwei Richtungen möglich!),\n",
-    " * Stromlinienkörper.\n",
-    "\n",
-    "Sie können sich die Richtung, in der Sie den ausgewählten Körper umströmen lassen aussuchen.\n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a8110650-83de-4c28-95a5-fb692aabdd33",
-   "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 wurden eine konkove und eine kovexe Halbkugel wie in 3.1 in den Luftstrom gehängt und $F_w$ gemessen. Wir erhalten    \n",
-    "$F_w(Konvexe Halbkugel)=0.11\\pm 0.01 \\mathrm{N}$   \n",
-    "und $F_w(Konkave Halbkugel)=0.355\\ pm 0.01 \\mathrm{N}$.   \n",
-    "\n",
-    "Mit $F_{W} =  c_{W}\\,\\frac{1}{2}\\,\\rho_{Luft}\\,(a(f-b))^{2}\\,A+F_{offset}$ follgt    \n",
-    "\n",
-    "$c_{W} =2\\dfrac{F_{W}-F_{offset}}{\\rho_{Luft}\\,(a(f-b))^{2}\\,A}$. \n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "81a02989-928f-4627-9411-fb247a717501",
-   "metadata": {},
-   "source": [
-    "**L Ö S U N G**\n",
-    "\n",
-    "Einsetzen führt zu  $c_w($Konvexe Halbkugel$)= 0.35 \\pm 0.05$ sowie $c_w($Konvexe Halbkugel$)= 1.12 \\pm 0.13$ \n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "id": "fedacc82-5774-419f-b9d7-7a672844e4f0",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Der cw-Wert einer Halbkugel mit der runden Seite nach außen ist 0.35+/-0.05  \n",
-      "Der cw-Wert einer Halbkugel mit der ausghölten Seite nach außen ist 1.12+/-0.13  \n"
-     ]
-    }
-   ],
-   "source": [
-    "fkugel=ufloat(2600,10)\n",
-    "offsethalbkugel=ufloat(0.02,0.005)\n",
-    "Fhalbkugel=ufloat(0.11,0.01)\n",
-    "Fhalbkugelfalschherum=ufloat(0.355,0.01)\n",
-    "r=ufloat(0.056/2,0.001)\n",
-    "rhoLuft=ufloat(1.204,0.01)#Dichte von Luft unter \"normalen\" Bedingungen\n",
-    "A=np.pi*r**2\n",
-    "cwhk=Fhalbkugel/((0.5*rhoLuft*(a*fkugel)**2)*A)\n",
-    "cwhk2=Fhalbkugelfalschherum/((0.5*rhoLuft*(a*fkugel)**2)*A)\n",
-    "\n",
-    "print(f\"Der cw-Wert einer Halbkugel mit der runden Seite nach außen ist {cwhk}  \")\n",
-    "print(f\"Der cw-Wert einer Halbkugel mit der ausghölten Seite nach außen ist {cwhk2}  \")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a9faea00-ce2c-4f89-a521-6d1d2cac448c",
-   "metadata": {},
-   "source": [
-    "**D I S K U S S I O N**\n",
-    "\n",
-    "Die Werte sind mit den Literaturwerten:   \n",
-    "$c_w($Konvexe Halbkugel$)= 0.34$ sowie $c_w($Konvexe Halbkugel$)= 1.33$ (Hinweise für den Versuch Aeromechnik-Strömungswiederstand(https://gitlab.kit.edu/kit/etp-lehre/p1-praktikum/students/-/blob/main/Aeromechanik/doc/Hinweise-cW.md))    \n",
-    "kompatibel. Insbesondre da leichte Beschädigungen der Formen und nicht exakt senkrechtes Einhängen in den Luftstrom nicht berücksichtigt sind. \n",
-    "\n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3dcd6b88-bae9-44d4-b6e3-b1da4ddc7176",
-   "metadata": {},
-   "source": [
-    "## Aufgabe 4: Auftrieb"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "de3b3aae-7e7c-44c9-abdd-8c0c43c8c7f0",
-   "metadata": {},
-   "source": [
-    "### Aufgabe 4.1: Polardiagramm\n",
-    "\n",
-    " * Messen Sie bei konstanter Strömungsgeschwindigkeit $v_{s}$ (entsprechend $f=2600\\,\\mathrm{U/min}$) den **Auftrieb und den Strömungswiderstand eines am Versuch ausliegenden Tragflügelmodells** als Funktion des Anstellwinkels $\\alpha$ und bestimmen Sie daraus das **Polardiagramm**.\n",
-    " * Bestimmen Sie die größte **Gleitzahl $E_{\\mathrm{max}}$ und den dazugehörigen optimalen Anstellwinkel $\\alpha_{\\mathrm{max}}$**.\n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "c8eb02e1-0e7e-4b04-9596-50bdbf7c254d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "f3=ufloat(2600,25)\n",
-    "offssetFS=0.01\n",
-    "offssetFS=0.2\n",
-    "uncFs=0.002\n",
-    "uncFa=1\n",
-    "Winkel=np.array([ufloat(-8,0.1),ufloat(-4,0.1),ufloat(0,0.1),ufloat(4,0.1),ufloat(8,0.1),ufloat(10,0.1),ufloat(12,0.1)])#winkel in grad\n",
-    "Fs=np.array([ufloat(0.1,uncFs),ufloat(0.12,uncFs),ufloat(0.12,uncFs),ufloat(0.9,uncFs),ufloat(0.12,uncFs),ufloat(0.16,uncFs),ufloat(0.16,uncFs)])#Kraft in Horizontal in N\n",
-    "Fa=np.array([ufloat(0.04,uncFs),ufloat(0.08,uncFa),ufloat(0.09,uncFa),ufloat(0.15,uncFa),ufloat(0.21,uncFa),ufloat(0.26,uncFa),ufloat(0.35,uncFa)])#Kraft in Horizontal in N"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ee0aad16-80d6-4e5a-a1dc-a584c817720e",
-   "metadata": {},
-   "source": [
-    "**V E R S U C H S B E S C H R E I B U N G**\n",
-    "\n",
-    "*Fügen Sie Ihre Versuchsbeschreibung hier ein. Löschen Sie hierzu diesen kursiv gestellten Text aus dem Dokument.* \n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "bb271abc-21b5-4e65-9069-732397cc9ec0",
-   "metadata": {},
-   "source": [
-    "**L Ö S U N G**\n",
-    "\n",
-    "*Fügen Sie numerische Berechnungen zur Lösung dieser Aufgabe hier ein. Löschen Sie hierzu diesen kursiv gestellten Text aus dem Dokument. Um Code-Fragmente und Skripte in [Python](https://www.python.org/), sowie ggf. bildliche Darstellungen direkt ins [Jupyter notebook](https://jupyter.org/) einzubinden verwandeln Sie diese Zelle in eine Code-Zelle. Fügen Sie ggf. weitere Code-Zellen zu.* \n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "071af68d-6570-43af-a947-a54b9b45ec3e",
-   "metadata": {},
-   "source": [
-    "**D I S K U S S I O N**\n",
-    "\n",
-    "*Fügen Sie eine abschließende Diskussion und Bewertung Ihrer Lösung hier ein. Löschen Sie hierzu diesen kursiv gestellten Text aus dem Dokument.* \n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "6f4aa669-45c2-4ee5-84ca-adcaa1b9dd56",
-   "metadata": {},
-   "source": [
-    "### Aufgabe 4.2: Druckprofil\n",
-    "\n",
-    "Messen Sie bei konstanter Strömungsgeschwindigkeit $v_{s}$ (entsprechend $f=2600\\,\\mathrm{U/min}$) den Druck an den Messstellen des am Versuch ausliegenden Tragflächenmodells für die Anstellwinkel $\\alpha_{i}=-20^{\\circ},\\,0^{\\circ},\\,+20^{\\circ}$.\n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "id": "f683159f-9ebd-4f7e-817e-470af940a6b2",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "30+/-5\n"
-     ]
-    }
-   ],
-   "source": [
-    "#Winkel=-20Grad +-1 grad f=2600\n",
-    "uncf=5\n",
-    "pd4220min=np.array([ufloat(102,unc),ufloat(57,unc),ufloat(-33,unc),ufloat(-41,unc),ufloat(-36,unc),ufloat(-34,unc),ufloat(-34,unc),ufloat(-35,unc),ufloat(-31,unc)])\n",
-    "pd420=np.array([ufloat(142,unc),ufloat(-70,unc),ufloat(-74,unc),ufloat(-50,unc),ufloat(-37,unc),ufloat(-43,unc),ufloat(-34,unc),ufloat(30,unc),ufloat(30,unc)])\n",
-    "pd4220plus=np.array([ufloat(97,unc),ufloat(-110,unc),ufloat(-81,unc),ufloat(-45,unc),ufloat(-35,unc),ufloat(53,unc),ufloat(46,unc),ufloat(36,unc),ufloat(32,unc)])\n",
-    "pd420f=[((x**2)**0.5-ofset)*(x/(x**2)**0.5) for x in pd420]\n",
-    "pd4220minf=[((x**2)**0.5-ofset)*(x/(x**2)**0.5) for x in pd4220min]\n",
-    "pd4220plusf=[((x**2)**0.5-ofset)*(x/(x**2)**0.5) for x in pd4220plus]\n",
-    "print(ofset)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "129f677e-b5de-4534-bb91-31cd1f9a2a07",
-   "metadata": {},
-   "source": [
-    "**V E R S U C H S B E S C H R E I B U N G**\n",
-    "\n",
-    "*Fügen Sie Ihre Versuchsbeschreibung hier ein. Löschen Sie hierzu diesen kursiv gestellten Text aus dem Dokument.* \n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "c24c5979-3413-4d9b-833d-13e3cb7800f3",
-   "metadata": {},
-   "source": [
-    "**L Ö S U N G**\n",
-    "\n",
-    "*Fügen Sie numerische Berechnungen zur Lösung dieser Aufgabe hier ein. Löschen Sie hierzu diesen kursiv gestellten Text aus dem Dokument. Um Code-Fragmente und Skripte in [Python](https://www.python.org/), sowie ggf. bildliche Darstellungen direkt ins [Jupyter notebook](https://jupyter.org/) einzubinden verwandeln Sie diese Zelle in eine Code-Zelle. Fügen Sie ggf. weitere Code-Zellen zu.* \n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "49e74e25-8555-4430-81e0-61bd0d31e112",
-   "metadata": {},
-   "source": [
-    "**D I S K U S S I O N**\n",
-    "\n",
-    "*Fügen Sie eine abschließende Diskussion und Bewertung Ihrer Lösung hier ein. Löschen Sie hierzu diesen kursiv gestellten Text aus dem Dokument.* \n",
-    "\n",
-    "---"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "f32d0de1-eef2-41cb-aeb0-3bdb30213988",
-   "metadata": {
-    "jp-MarkdownHeadingCollapsed": true
-   },
-   "source": [
-    "# Beurteilung"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "af348773-3ad3-4a87-a1db-0ccc611f883d",
-   "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/tYVstb2b5V)**.\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