{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Precódigo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## pip install"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: matplotlib in c:\\users\\lord_fulgi\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (3.8.4)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in c:\\users\\lord_fulgi\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from matplotlib) (1.2.1)\n",
      "Requirement already satisfied: cycler>=0.10 in c:\\users\\lord_fulgi\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from matplotlib) (0.12.1)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\lord_fulgi\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from matplotlib) (4.51.0)\n",
      "Requirement already satisfied: kiwisolver>=1.3.1 in c:\\users\\lord_fulgi\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from matplotlib) (1.4.5)\n",
      "Requirement already satisfied: numpy>=1.21 in c:\\users\\lord_fulgi\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from matplotlib) (1.26.4)\n",
      "Requirement already satisfied: packaging>=20.0 in c:\\users\\lord_fulgi\\appdata\\roaming\\python\\python312\\site-packages (from matplotlib) (24.0)\n",
      "Requirement already satisfied: pillow>=8 in c:\\users\\lord_fulgi\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from matplotlib) (10.3.0)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in c:\\users\\lord_fulgi\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from matplotlib) (3.1.2)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\lord_fulgi\\appdata\\roaming\\python\\python312\\site-packages (from matplotlib) (2.9.0.post0)\n",
      "Requirement already satisfied: six>=1.5 in c:\\users\\lord_fulgi\\appdata\\roaming\\python\\python312\\site-packages (from python-dateutil>=2.7->matplotlib) (1.16.0)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "[notice] A new release of pip is available: 24.0 -> 25.0.1\n",
      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
     ]
    }
   ],
   "source": [
    "pip install matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: sympy in c:\\users\\lord_fulgi\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (1.13.3)Note: you may need to restart the kernel to use updated packages.\n",
      "\n",
      "Requirement already satisfied: mpmath<1.4,>=1.1.0 in c:\\users\\lord_fulgi\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from sympy) (1.3.0)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "[notice] A new release of pip is available: 24.0 -> 25.0.1\n",
      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
     ]
    }
   ],
   "source": [
    "pip install sympy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR: Could not find a version that satisfies the requirement math (from versions: none)\n",
      "ERROR: No matching distribution found for math\n",
      "\n",
      "[notice] A new release of pip is available: 24.0 -> 25.0.1\n",
      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
     ]
    }
   ],
   "source": [
    "pip install math"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: numpy in c:\\users\\lord_fulgi\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (1.26.4)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "[notice] A new release of pip is available: 24.0 -> 25.0.1\n",
      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
     ]
    }
   ],
   "source": [
    "pip install numpy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pandas in c:\\users\\lord_fulgi\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (2.2.3)\n",
      "Requirement already satisfied: numpy>=1.26.0 in c:\\users\\lord_fulgi\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from pandas) (1.26.4)\n",
      "Requirement already satisfied: python-dateutil>=2.8.2 in c:\\users\\lord_fulgi\\appdata\\roaming\\python\\python312\\site-packages (from pandas) (2.9.0.post0)\n",
      "Requirement already satisfied: pytz>=2020.1 in c:\\users\\lord_fulgi\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from pandas) (2024.2)\n",
      "Requirement already satisfied: tzdata>=2022.7 in c:\\users\\lord_fulgi\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from pandas) (2024.2)\n",
      "Requirement already satisfied: six>=1.5 in c:\\users\\lord_fulgi\\appdata\\roaming\\python\\python312\\site-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "[notice] A new release of pip is available: 24.0 -> 25.0.1\n",
      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
     ]
    }
   ],
   "source": [
    "pip install pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: scipy in c:\\users\\lord_fulgi\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (1.14.1)\n",
      "Requirement already satisfied: numpy<2.3,>=1.23.5 in c:\\users\\lord_fulgi\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from scipy) (1.26.4)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "[notice] A new release of pip is available: 24.0 -> 25.0.1\n",
      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
     ]
    }
   ],
   "source": [
    "pip install scipy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: uncertainties in c:\\users\\lord_fulgi\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (3.2.2)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "[notice] A new release of pip is available: 24.0 -> 25.0.1\n",
      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
     ]
    }
   ],
   "source": [
    "pip install uncertainties"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## import"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from numpy import *\n",
    "import numpy as np\n",
    "from numpy.linalg import *\n",
    "import math\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "from statistics import *\n",
    "\n",
    "from IPython.display import display, Latex\n",
    "from scipy import stats\n",
    "from scipy.stats import linregress\n",
    "import scipy.optimize as so\n",
    "from scipy.fft import fft\n",
    "from scipy.interpolate import interp1d\n",
    "\n",
    "import sympy as sp\n",
    "from sympy import *\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "\n",
    "pd.set_option('display.precision', 2)       #   Nos dará dos decimales en las tablas y arrays afectados por pandas\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Funciones Generales"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calculadora"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Funciones:\n",
    "\n",
    "    ·ddx(f,n) o ddy(f,n); derivadas de orden n\n",
    "    ·intdx(f) o intdy(f); integrales\n",
    "    ·solvex(a,b) o solvey(a,b); resuelve ecuaciones algebraicas del tipo a = b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#   Linea de cómputo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Derivadas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Funciones"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def ddx(f, n):\n",
    "    x = symbols('x')\n",
    "    derivada = diff(f, x, n)\n",
    "    \n",
    "    return derivada\n",
    "\n",
    "def ddy(f, n):\n",
    "    y = symbols('y')\n",
    "    derivada = diff(f, y, n)\n",
    "    \n",
    "    return derivada"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Ejemplo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$\\displaystyle 3 x^{2} + 4 x + 5$"
      ],
      "text/plain": [
       "3*x**2 + 4*x + 5"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = sp.symbols('x')\n",
    "f = x**3 + 2*x**2 + 5*x\n",
    "\n",
    "derivada = sp.diff(f, x)\n",
    "\n",
    "derivada"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Integrales"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Funciones"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def intdx(f):\n",
    "    x = sp.symbols('x')\n",
    "    integral = sp.integrate(f, x)\n",
    "    \n",
    "    return integral\n",
    "\n",
    "def intdy(f):\n",
    "    y = sp.symbols('y')\n",
    "    integral = sp.integrate(f, y)\n",
    "    \n",
    "    return integral"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Ejemplo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$\\displaystyle \\frac{x^{4}}{4} + \\frac{2 x^{3}}{3}$"
      ],
      "text/plain": [
       "x**4/4 + 2*x**3/3"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = sp.symbols('x')\n",
    "f = x**3 +2*x**2\n",
    "\n",
    "integral = sp.integrate(f, x)\n",
    "\n",
    "integral"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Resolver Ecuaciones Algebraicas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Funciones"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def solvex(a,b):\n",
    "    x = symbols('x')\n",
    "    ecuacion = sp.Eq(a, b)\n",
    "    solucion = sp.solve(ecuacion, x)\n",
    "    \n",
    "    return solucion\n",
    "\n",
    "def solvey(a,b):\n",
    "    ecuacion = sp.Eq(a, b)\n",
    "    solucion = sp.solve(ecuacion, y)\n",
    "    \n",
    "    return solucion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Ejemplo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[-3, 0]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#   Ecuación x**2 + 3x = 0\n",
    "ecuacion = sp.Eq(x**2 + 3*x, 0)\n",
    "\n",
    "solucion = sp.solve(ecuacion, x)\n",
    "\n",
    "solucion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Funciones Técnicas 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Funciones usadas en Técnicas Experimentales 1. Repasar el archivo Tecnicas_1.ipynb para ver su uso o ejemplos.\n",
    "Tenemos:\n",
    "\n",
    "    ·Comprobar si dos listas tienen mismo tamaño\n",
    "    ·Parámetros para ajuste de recta sin término independiente\n",
    "    ·Parámetros para ajuste de recta con término independiente\n",
    "    ·Parámetros para ajuste de recta sin término independiente y su gráfica generada\n",
    "    ·Parámetros para ajuste de recta con término independiente y su gráfica generada\n",
    "    ·Media con exclusión\n",
    "    ·Media cuadrada"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "#   Chequea que dos listas tengan el mismo tamaño. Devuelve si son o no y cuantos valores tiene cada una\n",
    "def chequeo(x: list[float], y: list[float]) -> tuple[float]:\n",
    "    list_size_bool = f\"Tamaño igual de listas: {len(x)==len(y)}\"\n",
    "    x_info, y_info = f\"Tamaño x: {len(x)}\", f\"Tamaño y: {len(y)}\"\n",
    "    return (list_size_bool, x_info, y_info)\n",
    "\n",
    "#   Devuelve los parámetros de pendiente, desviación típica, incertidumbre de la pendiente y coeficiente de regresión para una recta sin término independiente (y = n*x) ajustada por mínimos cuadrados\n",
    "def min_cuadrados_sin_termino_indep(x: list[float], y: list[float]) -> tuple[float]:\n",
    "    xy = [i*j for i,j in list(zip(x, y))]\n",
    "    x2, y2 = [i*i for i in x], [j*j for j in y]\n",
    "    sum_xy, sum_x2, sum_y2 = sum(xy), sum(x2), sum(y2)\n",
    "    # Pendiente\n",
    "    n = sum_xy / sum_x2\n",
    "    # Desviacion Tipica\n",
    "    num = len(x) - 1\n",
    "    stdv = math.sqrt(sum([(j - n*i)**2 for i,j in zip(x, y)]) / num)\n",
    "    # Incertidumbre de la pendiente (n)\n",
    "    Sn = stdv / math.sqrt(sum_x2)\n",
    "    # Coeficiente de Regresion\n",
    "    r = sum_xy / math.sqrt(sum_x2 * sum_y2)\n",
    "    return (n, stdv, Sn, r)\n",
    "\n",
    "#   Devuelve la pendiente, término independiente, desviación típica, incertidumbre de la pendiente, incertidumbre del término independiente y coeficiente de regresión para una recta con término independiente (y = n*x + a) mediante el ajuste por mínimos cuadrados\n",
    "def min_cuadrados_con_termino_indep(x: list[float], y: list[float]) -> tuple [float]:\n",
    "    xy = [i*j for i,j in list(zip(x,y))]\n",
    "    x2, y2 = [i*i for i in x], [j*j for j in  y]\n",
    "    sum_x, sum_y, sum_xy, sum_x2, sum_y2 = sum(x), sum(y), sum(xy), sum(x2), sum(y2)\n",
    "    # Pendiente y Término Independiente\n",
    "    num = len(x)\n",
    "    n = (num*sum_xy-sum_x*sum_y)/(num*sum_x2-sum_x**2)\n",
    "    a =(sum_y*sum_x2-sum_x*sum_xy)/(num*sum_x2-sum_x**2)\n",
    "    # Desviacion Tipica\n",
    "    numero = len(x) -2\n",
    "    stdv = math.sqrt(sum([(j - n*i)**2 for i,j in zip(x,y)]) / numero)\n",
    "    # Incertidumbre de la pendiente (n)\n",
    "    Sn = stdv * math.sqrt(num/(num*sum_x2-sum_x**2))\n",
    "    # Incertidumbre del Término Independiente\n",
    "    Sa = stdv * math.sqrt(sum_x2/(num*sum_x2-sum_x**2))\n",
    "    # Coeficiente de Regresion\n",
    "    r = (num*sum_xy-sum_x*sum_y)/math.sqrt((num*sum_x2-sum_x**2)*(num*sum_y2-sum_y**2))\n",
    "    return (n, a, stdv, Sn, Sa, r)\n",
    "\n",
    "#   Insertando dos listas (x,y) en la función, te devuelve los valores de min_cuadrados_sin_termino_indep() y te genera su gráfica\n",
    "def generar_grafica_sin_termino_indep(x: list[float], y: list[float], \n",
    "                    x_lbl: str = \"X\", y_lbl: str = \"Y\", m_lbl: str = \"m\", \n",
    "                    xerr: list[float] = None, yerr: list[float] = None,\n",
    "                    n: float = 0):\n",
    "\n",
    "    # Regresión lineal mediante minimos cuadrados\n",
    "    m, stdv, Sn, r = min_cuadrados_sin_termino_indep(x, y)\n",
    "    \n",
    "    # Recta de regresion (y = m*x + n) con n = 0\n",
    "    recta_regresion = [m*i for i in x]\n",
    "\n",
    "    # Grafica\n",
    "    plt.clf()\n",
    "    \n",
    "    # plt.errorbar(x, y, xerr, yerr, fmt='x')\n",
    "    plot, = plt.plot(x, recta_regresion, color='red', linestyle='-')\n",
    "    points = plt.scatter(x, y)\n",
    "    \n",
    "    plt.xlabel(f\"{x_lbl}\")\n",
    "    plt.ylabel(f\"{y_lbl}\")\n",
    "    plt.legend([points, plot], [\"Valores Experimentales\", f\"{m_lbl} = {m:e}\"])\n",
    "    plt.title(f\"{y_lbl} frente a {x_lbl}\")\n",
    "    plt.grid()\n",
    "\n",
    "    plt.show()\n",
    "    print(f\"{m_lbl}:\\t{m:e}\")\n",
    "    print(f\"S({m_lbl}): {Sn}\")\n",
    "    print(f\"stdv:\\t{stdv}\")\n",
    "    print(f\"r:\\t{r}\")\n",
    "    return m, stdv, Sn, r\n",
    "\n",
    "#   Insertando dos listas (x,y) en la función, te devuelve los valores de min_cuadrados_con_termino_indep() y te genera su gráfica\n",
    "def generar_grafica_con_termino_indep(x: list[float], y: list[float], \n",
    "                    x_lbl: str = \"X\", y_lbl: str = \"Y\", m_lbl: str = \"m\", \n",
    "                    xerr: list[float] = None, yerr: list[float] = None,\n",
    "                    n: float = 0):\n",
    "    \n",
    "    # Regresión lineal mediante minimos cuadrados\n",
    "    m, n, stdv, Sn, Sa, r = min_cuadrados_con_termino_indep(x, y)\n",
    "    \n",
    "    # Recta de regresion (y = m*x + n)\n",
    "    recta_regresion = [m*i + n for i in x]\n",
    "\n",
    "    # Grafica\n",
    "    plt.clf()\n",
    "    \n",
    "    # plt.errorbar(x, y, xerr, yerr, fmt='x')\n",
    "    plot, = plt.plot(x, recta_regresion, color='red', linestyle='-')\n",
    "    points = plt.scatter(x, y)\n",
    "    \n",
    "    plt.xlabel(f\"{x_lbl}\")\n",
    "    plt.ylabel(f\"{y_lbl}\")\n",
    "    plt.legend([points, plot], [\"Valores Experimentales\", f\"{m_lbl} = {m:e}\"])\n",
    "    plt.grid()\n",
    "\n",
    "    plt.show()\n",
    "    print(f\"{m_lbl}:\\t{m:e}\")   # Pendiente Recta\n",
    "    print(f\"S({m_lbl}): {Sn}\")  #Incertidumbre pendiente\n",
    "    print(f\"a:\\t{n}\")   # Termino Independiente\n",
    "    print(f\"S(a):\\t{Sa}\")   # Incertidumbre Termino Independiente\n",
    "    print(f\"stdv:\\t{stdv}\") # Desviacion Tipica\n",
    "    print(f\"r:\\t{r}\")\n",
    "    return m, n, stdv, Sn, Sa, r\n",
    "\n",
    "# Esta funcion es el protocolo de la diapositiva 19 de {https://cv.usc.es/pluginfile.php/2390439/mod_resource/content/1/an%C3%A1lisis%20incertidumbres.pdf}\n",
    "# Se añade sb que es la incertidumbre de tipo b de los valores en x (que es constante)\n",
    "\n",
    "#   Insertando la incertidumbre de tipo b (por ejemplo sensibilidad de la máquina) y una lista, te devuelve la media con la incertidumbre combinada, fi (fi = n - 1) y la nueva lista con los valores excluidos para k = 2\n",
    "def media_con_exclusion(sb, x: list[float]) -> tuple[float]:\n",
    "    n = len(x)\n",
    "    k = 2          #   Usamos el valor k = 2 para calcular que valores se salen (utilizamos este k en Técnicas Experimentales I)\n",
    "    # Calcular valor medio de la lista\n",
    "    media_x = sum(x)/n\n",
    "    # Calcular desviacion tipica\n",
    "    dist_media_x = [(i-media_x)**2 for i in x]\n",
    "    sa = math.sqrt(sum(dist_media_x)/(n-1))\n",
    "    # Quitar valores discordantes\n",
    "    for valor in x:\n",
    "        if valor >= (media_x-k*sa) and valor <= (media_x+k*sa):\n",
    "            pass\n",
    "        else:\n",
    "            x.remove(valor)\n",
    "    # Calcular la nueva media\n",
    "    media_x = sum(x)/n\n",
    "    # Calculamos la nueva desviacion tipica de la media\n",
    "    dist_media_x = [(i-media_x)**2 for i in x]\n",
    "    sa = math.sqrt(sum(dist_media_x)/(n-1))\n",
    "    sa_media = sa/math.sqrt(n)\n",
    "    # Incertidumbre Combinada\n",
    "    sc = math.sqrt(sa_media**2 + sb**2)\n",
    "    # Resultado final\n",
    "    phi = n - 1\n",
    "    return (media_x, sc, phi, x)\n",
    "\n",
    "#   Hace la media cuadrada entre dos valores (incertidumbres por ejemplo)\n",
    "def media_cuadrada(s1,s2):\n",
    "    return math.sqrt(s1**2 + s2**2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "def media_ponderada(valores_lista, incertidumbres_lista):\n",
    "    \"\"\"\n",
    "    Calcula el valor medio ponderado y su incertidumbre.\n",
    "    \n",
    "    Parámetros:\n",
    "    valores: lista o array de los valores medidos (x1, x2, ..., xn)\n",
    "    incertidumbres: lista o array de las incertidumbres respectivas (u1, u2, ..., un)\n",
    "    \n",
    "    Retorna:\n",
    "    (media_ponderada, incertidumbre_ponderada)\n",
    "    \"\"\"\n",
    "    # Convertir a arrays para evitar problemas con listas\n",
    "    valores_lista = np.array(valores_lista)\n",
    "    incertidumbres_lista = np.array(incertidumbres_lista)\n",
    "    \n",
    "    # Calcular la media ponderada\n",
    "    media = np.sum(valores_lista / incertidumbres_lista**2) / np.sum(1 / incertidumbres_lista**2)\n",
    "    \n",
    "    # Calcular la incertidumbre ponderada\n",
    "    incertidumbre = np.sqrt(1 / np.sum(1 / incertidumbres_lista**2))\n",
    "    \n",
    "    return media, incertidumbre"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ajuste Lineal por Mínimos Cuadrados"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "La función de ajuste $y_i = a + b x_i$  pide tres listas de argumentos $\\{ x_i, y_i \\}$, y $\\sigma_i = \\sigma (y_i)$ donde  $i=1,...,n$\n",
    "\n",
    "$$\\left( \\begin{array}{c} a \\\\ b \\end{array} \\right) = H^{-1} Z$$\n",
    "donde\n",
    "$$\n",
    "H = \\left( \\begin{array}{cc} \\sum_i \\frac{1}{\\sigma_i^{2}} & \\sum_i \\frac{x_i}{\\sigma_i^2} \\\\\n",
    "\\sum_i \\frac{x_i}{\\sigma_i^2} & \\sum_i \\frac{x^2_i}{\\sigma_i^2}\n",
    "\\end{array}\n",
    "\\right) ~~~; ~~~~  \n",
    "Z = \\frac{1}{\\Delta}\\left( \\begin{array}{c} \\sum_i\\frac{x_i^2}{\\sigma_i^2} \\\\  \n",
    " \\sum_i\\frac{1}{\\sigma_i^2} \\end{array}\n",
    "\\right)\n",
    "$$\n",
    "con $\\Delta= \\det H$.\n",
    "Además, las desviaciones estándar de $a$ y $b$ son \n",
    "$$\n",
    "\\sigma(a) =\\sqrt{ \\frac{1}{\\Delta} \\sum_i \\frac{x_i^2}{\\sigma_i^2}} ~~~; ~~~\n",
    "\\sigma(b) =\\sqrt{ \\frac{1}{\\Delta} \\sum_i \\frac{1}{\\sigma_i^2}}\\, .\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Funciones"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "def media(xlist):\n",
    "    return sum(xlist)/len(xlist)\n",
    "\n",
    "def sigma(xlist):\n",
    "    return np.sqrt(sum((xlist-media(xlist))**2)/(1.*len(xlist)*(len(xlist)-1.)))\n",
    "\n",
    "def sigmab(xlist):\n",
    "    return np.sqrt(sum((xlist-media(xlist))**2)/(1.*len(xlist)*(len(xlist)-1)))\n",
    "\n",
    "def utotal(ua,ub):\n",
    "    return np.sqrt(ua**2+ub**2)\n",
    "\n",
    "#   Ajuste lineal y=a+bx\n",
    "def ajustelinealponderado(x,y,sig):\n",
    "\n",
    "    H=np.array([[sum(1./sig**2),sum(x/sig**2)],[sum(x/sig**2),sum(x**2/sig**2)]])\n",
    "    H_sympy = Matrix(H) #\n",
    "    Delta=det(H_sympy)  #_sympy\n",
    "    Z=np.array([sum(y/sig**2),sum((x*y)/sig**2)])\n",
    "    \n",
    "    ([a,b])=np.matmul(inv(H),Z)\n",
    "    \n",
    "    siga= sqrt(sum(x**2/sig**2)/Delta)\n",
    "    sigb= sqrt(sum(1./sig**2)/Delta)\n",
    "    \n",
    "    return a,b,siga,sigb\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ejemplo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Los datos tomados, en forma matricial o en lista."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "x=np.array([ 25., 16., 11.1111, 8.16327, 6.25, 4.93827, 4., 2.77778, 1.77778, 1.  ])\n",
    "y=np.array([ 901., 652., 443., 339., 283., 281., 240., 220., 180., 154.  ])\n",
    "n=len(x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Muestra los datos frameados en una tabla de Panda"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>25.00</td>\n",
       "      <td>901.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>16.00</td>\n",
       "      <td>652.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.11</td>\n",
       "      <td>443.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8.16</td>\n",
       "      <td>339.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6.25</td>\n",
       "      <td>283.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4.94</td>\n",
       "      <td>281.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4.00</td>\n",
       "      <td>240.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2.78</td>\n",
       "      <td>220.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1.78</td>\n",
       "      <td>180.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1.00</td>\n",
       "      <td>154.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        x      y\n",
       "1   25.00  901.0\n",
       "2   16.00  652.0\n",
       "3   11.11  443.0\n",
       "4    8.16  339.0\n",
       "5    6.25  283.0\n",
       "6    4.94  281.0\n",
       "7    4.00  240.0\n",
       "8    2.78  220.0\n",
       "9    1.78  180.0\n",
       "10   1.00  154.0"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "datos = pd.DataFrame({'x': x, 'y': y},index=np.arange(n)+1)\n",
    "display(datos)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Muestra los datos frameados en una tabla de Latex"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<>:3: SyntaxWarning: invalid escape sequence '\\h'\n",
      "<>:6: SyntaxWarning: invalid escape sequence '\\h'\n",
      "<>:3: SyntaxWarning: invalid escape sequence '\\h'\n",
      "<>:6: SyntaxWarning: invalid escape sequence '\\h'\n",
      "C:\\Users\\Lord_Fulgi\\AppData\\Local\\Temp\\ipykernel_37728\\1741227050.py:3: SyntaxWarning: invalid escape sequence '\\h'\n",
      "  cadena  = '\\\\begin{array}{|r|r|} \\hline x & y \\\\\\\\ \\hline'\n",
      "C:\\Users\\Lord_Fulgi\\AppData\\Local\\Temp\\ipykernel_37728\\1741227050.py:6: SyntaxWarning: invalid escape sequence '\\h'\n",
      "  cadena += '\\hline \\end{array}'\n"
     ]
    },
    {
     "data": {
      "text/latex": [
       "\\begin{array}{|r|r|} \\hline x & y \\\\ \\hline25.00 & 901.00 \\\\16.00 & 652.00 \\\\11.11 & 443.00 \\\\8.16 & 339.00 \\\\6.25 & 283.00 \\\\4.94 & 281.00 \\\\4.00 & 240.00 \\\\2.78 & 220.00 \\\\1.78 & 180.00 \\\\1.00 & 154.00 \\\\\\hline \\end{array}"
      ],
      "text/plain": [
       "<IPython.core.display.Latex object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#   Muestra los datos frameados en una tabla de Latex\n",
    "\n",
    "cadena  = '\\\\begin{array}{|r|r|} \\hline x & y \\\\\\\\ \\hline'\n",
    "for i in range(n):\n",
    "    cadena += '%3.2f & %3.2f \\\\\\\\' % (x[i],y[i])\n",
    "cadena += '\\hline \\end{array}'\n",
    "\n",
    "display(Latex(cadena))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculemos la media $\\bar y = \\frac{1}{n}(\\sum_{i=1}^n y_i)$ y la desviación estándar de la media poblacional $u_A=\\sigma(\\bar y) = \\sqrt{\\frac{\\sum_{i=1}^n (y_i - \\bar y)^2}{n(n-1)}}$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$ \\bar{y} =369 $"
      ],
      "text/plain": [
       "<IPython.core.display.Latex object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ymed=media(y)\n",
    "display(Latex(r'$ \\bar{y} =%i $' % ymed))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$\\sigma(\\bar y)=74 $"
      ],
      "text/plain": [
       "<IPython.core.display.Latex object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sigbar=sigmab(y)\n",
    "display(Latex(r'$\\sigma(\\bar y)=%i $' % sigbar))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En caso de ser conocida, la desviación estándar de cada dato es  $\\sigma(y_i)$;  $\\sigma(y_i) = \\sqrt{y_i}$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tenemos la desviación para cada valor (que nos dará para luego la barra de error). Escogemos cuál de las dos es la que vamos a usar en el ajuste sigma = sigbar o sigma = sigi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([30.01666204, 25.53429067, 21.04756518, 18.41195264, 16.82260384,\n",
       "       16.76305461, 15.49193338, 14.83239697, 13.41640786, 12.40967365])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sigi=np.sqrt(y)\n",
    "uy = sigi\n",
    "\n",
    "uy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Aquí representamos en tabla Panda los valores con su respectiva desviación estándar de y."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>sig</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>25.00</td>\n",
       "      <td>901.0</td>\n",
       "      <td>30.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>16.00</td>\n",
       "      <td>652.0</td>\n",
       "      <td>25.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.11</td>\n",
       "      <td>443.0</td>\n",
       "      <td>21.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8.16</td>\n",
       "      <td>339.0</td>\n",
       "      <td>18.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6.25</td>\n",
       "      <td>283.0</td>\n",
       "      <td>16.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4.94</td>\n",
       "      <td>281.0</td>\n",
       "      <td>16.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4.00</td>\n",
       "      <td>240.0</td>\n",
       "      <td>15.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2.78</td>\n",
       "      <td>220.0</td>\n",
       "      <td>14.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1.78</td>\n",
       "      <td>180.0</td>\n",
       "      <td>13.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1.00</td>\n",
       "      <td>154.0</td>\n",
       "      <td>12.41</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        x      y    sig\n",
       "1   25.00  901.0  30.02\n",
       "2   16.00  652.0  25.53\n",
       "3   11.11  443.0  21.05\n",
       "4    8.16  339.0  18.41\n",
       "5    6.25  283.0  16.82\n",
       "6    4.94  281.0  16.76\n",
       "7    4.00  240.0  15.49\n",
       "8    2.78  220.0  14.83\n",
       "9    1.78  180.0  13.42\n",
       "10   1.00  154.0  12.41"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "datossig = pd.DataFrame({'x': x,'y': y ,'sig': uy},index=np.arange(n)+1)\n",
    "display(datossig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Llamamos a la función de ajuste."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$a$=119.50 , $\\sigma_{a}$=7.57"
      ],
      "text/plain": [
       "<IPython.core.display.Latex object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/latex": [
       "$b$=30.70 , $\\sigma_{b}$=1.03"
      ],
      "text/plain": [
       "<IPython.core.display.Latex object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a,b,siga,sigb = ajustelinealponderado(x, y, uy)\n",
    "\n",
    "display(Latex(r'$a$=%3.2f , $\\sigma_{a}$=%3.2f' % (a,siga) ))\n",
    "display(Latex(r'$b$=%3.2f , $\\sigma_{b}$=%3.2f' % (b,sigb) ))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Graficamos los datos y el ajuste lineal (dos plots distintos en mismo frame)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Y= a + b*x\n",
    "\n",
    "plt.figure(figsize=(5, 4))       #   Medidas de la gráfica; por ejemplo: (7, 6)\n",
    "plt.plot(x,y, '.')\n",
    "plt.plot(x,Y)\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Podemos graficar lo mismo que antes pero con barras de error."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5,4))\n",
    "plt.errorbar(x, y, fmt= '.', yerr=uy)       #   uy es la desviación estándar por valor de y\n",
    "plt.plot(x,Y)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ajuste no Lineal"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Funciones"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ejemplo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Introducimos primero nuestros datos $\\{ x_i, y_i \\}$, $i=1,...,n$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'nx1= 55'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'ny1= 55'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x=array([5.5,6,6.5,7,7.5,8,8.5,9,9.5,10,10.5,11,11.5,12,12.5,13,13.5,14,14.5,15,15.5,\n",
    "         16.5,17,17.5,18,18.5,19,19.5,20,20.5,21,21.5,22,22.5,23,23.5,24,24.5,25,25.5,26,26.5,27,27.5,28,28.5,29,29.5,\n",
    "         30,30.5,31,31.5,32,32.5,33])-5.5       #   Este -5.5 resta a cada valor de x -5.5\n",
    "nx=len(x)\n",
    "display('nx1=%3.2i'% nx)        #   Longitud lista x\n",
    "\n",
    "\n",
    "y=array([12.25,11,16.5,28,43.5,61.5,80.5,97.25,111,120.5,\n",
    "         124.75,123.75,118,108.25,96,82,68.5,56.5,47.25,41.5,\n",
    "         40,48.5,57,67.25,77.75,87.5,96,101.75,104.75,104.75,\n",
    "         102,96.75,89.75,82,74,67,61.25,57.75,56.25,57.25,60.5,65,70.5,76.75,82.5,87.25,90,93.25,93.75,92.5,89.75,86.25,81.75,77.25,77])\n",
    "ny=len(y)\n",
    "display('ny1=%3.2i'% ny)        #   Longitud lista y\n",
    "\n",
    "#   El error estimado tipo B en y\n",
    "uy=array([0.5]*nx)              #   Lista con nx (número elementos de la lista x) veces el valor 0.5 (El error de \"la máquina\" con la que medimos por ejemplo)\n",
    "for i in range(0,20):           #   Cambia el error de los datos 1 al 20 (incluidos) a 1 en vez de 0.5 (como acababamos de hacer).\n",
    "    uy[i]=1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Podemos visualizar los datos en tabla Panda."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>uy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0</td>\n",
       "      <td>12.25</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.5</td>\n",
       "      <td>11.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
       "      <td>16.50</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.5</td>\n",
       "      <td>28.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2.0</td>\n",
       "      <td>43.50</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2.5</td>\n",
       "      <td>61.50</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3.0</td>\n",
       "      <td>80.50</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3.5</td>\n",
       "      <td>97.25</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4.0</td>\n",
       "      <td>111.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4.5</td>\n",
       "      <td>120.50</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>5.0</td>\n",
       "      <td>124.75</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>5.5</td>\n",
       "      <td>123.75</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>6.0</td>\n",
       "      <td>118.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>6.5</td>\n",
       "      <td>108.25</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>7.0</td>\n",
       "      <td>96.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>7.5</td>\n",
       "      <td>82.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>8.0</td>\n",
       "      <td>68.50</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>8.5</td>\n",
       "      <td>56.50</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>9.0</td>\n",
       "      <td>47.25</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>9.5</td>\n",
       "      <td>41.50</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>10.0</td>\n",
       "      <td>40.00</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>11.0</td>\n",
       "      <td>48.50</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>11.5</td>\n",
       "      <td>57.00</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>12.0</td>\n",
       "      <td>67.25</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>12.5</td>\n",
       "      <td>77.75</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>13.0</td>\n",
       "      <td>87.50</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>13.5</td>\n",
       "      <td>96.00</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>14.0</td>\n",
       "      <td>101.75</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>14.5</td>\n",
       "      <td>104.75</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>15.0</td>\n",
       "      <td>104.75</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>15.5</td>\n",
       "      <td>102.00</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>16.0</td>\n",
       "      <td>96.75</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>16.5</td>\n",
       "      <td>89.75</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>17.0</td>\n",
       "      <td>82.00</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>17.5</td>\n",
       "      <td>74.00</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>18.0</td>\n",
       "      <td>67.00</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>18.5</td>\n",
       "      <td>61.25</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>19.0</td>\n",
       "      <td>57.75</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>19.5</td>\n",
       "      <td>56.25</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>20.0</td>\n",
       "      <td>57.25</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>20.5</td>\n",
       "      <td>60.50</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>21.0</td>\n",
       "      <td>65.00</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>21.5</td>\n",
       "      <td>70.50</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>22.0</td>\n",
       "      <td>76.75</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>22.5</td>\n",
       "      <td>82.50</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>23.0</td>\n",
       "      <td>87.25</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>23.5</td>\n",
       "      <td>90.00</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>24.0</td>\n",
       "      <td>93.25</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>24.5</td>\n",
       "      <td>93.75</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>25.0</td>\n",
       "      <td>92.50</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>25.5</td>\n",
       "      <td>89.75</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>26.0</td>\n",
       "      <td>86.25</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>26.5</td>\n",
       "      <td>81.75</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>27.0</td>\n",
       "      <td>77.25</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>27.5</td>\n",
       "      <td>77.00</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       x       y   uy\n",
       "1    0.0   12.25  1.0\n",
       "2    0.5   11.00  1.0\n",
       "3    1.0   16.50  1.0\n",
       "4    1.5   28.00  1.0\n",
       "5    2.0   43.50  1.0\n",
       "6    2.5   61.50  1.0\n",
       "7    3.0   80.50  1.0\n",
       "8    3.5   97.25  1.0\n",
       "9    4.0  111.00  1.0\n",
       "10   4.5  120.50  1.0\n",
       "11   5.0  124.75  1.0\n",
       "12   5.5  123.75  1.0\n",
       "13   6.0  118.00  1.0\n",
       "14   6.5  108.25  1.0\n",
       "15   7.0   96.00  1.0\n",
       "16   7.5   82.00  1.0\n",
       "17   8.0   68.50  1.0\n",
       "18   8.5   56.50  1.0\n",
       "19   9.0   47.25  1.0\n",
       "20   9.5   41.50  1.0\n",
       "21  10.0   40.00  0.5\n",
       "22  11.0   48.50  0.5\n",
       "23  11.5   57.00  0.5\n",
       "24  12.0   67.25  0.5\n",
       "25  12.5   77.75  0.5\n",
       "26  13.0   87.50  0.5\n",
       "27  13.5   96.00  0.5\n",
       "28  14.0  101.75  0.5\n",
       "29  14.5  104.75  0.5\n",
       "30  15.0  104.75  0.5\n",
       "31  15.5  102.00  0.5\n",
       "32  16.0   96.75  0.5\n",
       "33  16.5   89.75  0.5\n",
       "34  17.0   82.00  0.5\n",
       "35  17.5   74.00  0.5\n",
       "36  18.0   67.00  0.5\n",
       "37  18.5   61.25  0.5\n",
       "38  19.0   57.75  0.5\n",
       "39  19.5   56.25  0.5\n",
       "40  20.0   57.25  0.5\n",
       "41  20.5   60.50  0.5\n",
       "42  21.0   65.00  0.5\n",
       "43  21.5   70.50  0.5\n",
       "44  22.0   76.75  0.5\n",
       "45  22.5   82.50  0.5\n",
       "46  23.0   87.25  0.5\n",
       "47  23.5   90.00  0.5\n",
       "48  24.0   93.25  0.5\n",
       "49  24.5   93.75  0.5\n",
       "50  25.0   92.50  0.5\n",
       "51  25.5   89.75  0.5\n",
       "52  26.0   86.25  0.5\n",
       "53  26.5   81.75  0.5\n",
       "54  27.0   77.25  0.5\n",
       "55  27.5   77.00  0.5"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "datos = pd.DataFrame({'x': x, 'y': y , 'uy' : uy },index=arange(nx)+1)\n",
    "display(datos)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "O visualizarlos en tabla tipo Latex."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<>:1: SyntaxWarning: invalid escape sequence '\\h'\n",
      "<>:4: SyntaxWarning: invalid escape sequence '\\h'\n",
      "<>:1: SyntaxWarning: invalid escape sequence '\\h'\n",
      "<>:4: SyntaxWarning: invalid escape sequence '\\h'\n",
      "C:\\Users\\Lord_Fulgi\\AppData\\Local\\Temp\\ipykernel_37728\\3862766803.py:1: SyntaxWarning: invalid escape sequence '\\h'\n",
      "  cadena  = '\\\\begin{array}{|r|r|} \\hline x & y \\\\\\\\ \\hline'\n",
      "C:\\Users\\Lord_Fulgi\\AppData\\Local\\Temp\\ipykernel_37728\\3862766803.py:4: SyntaxWarning: invalid escape sequence '\\h'\n",
      "  cadena += '\\hline \\end{array}'\n"
     ]
    },
    {
     "data": {
      "text/latex": [
       "\\begin{array}{|r|r|} \\hline x & y \\\\ \\hline0.00 & 12.25 \\\\0.50 & 11.00 \\\\1.00 & 16.50 \\\\1.50 & 28.00 \\\\2.00 & 43.50 \\\\2.50 & 61.50 \\\\3.00 & 80.50 \\\\3.50 & 97.25 \\\\4.00 & 111.00 \\\\4.50 & 120.50 \\\\5.00 & 124.75 \\\\5.50 & 123.75 \\\\6.00 & 118.00 \\\\6.50 & 108.25 \\\\7.00 & 96.00 \\\\7.50 & 82.00 \\\\8.00 & 68.50 \\\\8.50 & 56.50 \\\\9.00 & 47.25 \\\\9.50 & 41.50 \\\\10.00 & 40.00 \\\\11.00 & 48.50 \\\\11.50 & 57.00 \\\\12.00 & 67.25 \\\\12.50 & 77.75 \\\\13.00 & 87.50 \\\\13.50 & 96.00 \\\\14.00 & 101.75 \\\\14.50 & 104.75 \\\\15.00 & 104.75 \\\\15.50 & 102.00 \\\\16.00 & 96.75 \\\\16.50 & 89.75 \\\\17.00 & 82.00 \\\\17.50 & 74.00 \\\\18.00 & 67.00 \\\\18.50 & 61.25 \\\\19.00 & 57.75 \\\\19.50 & 56.25 \\\\20.00 & 57.25 \\\\20.50 & 60.50 \\\\21.00 & 65.00 \\\\21.50 & 70.50 \\\\22.00 & 76.75 \\\\22.50 & 82.50 \\\\23.00 & 87.25 \\\\23.50 & 90.00 \\\\24.00 & 93.25 \\\\24.50 & 93.75 \\\\25.00 & 92.50 \\\\25.50 & 89.75 \\\\26.00 & 86.25 \\\\26.50 & 81.75 \\\\27.00 & 77.25 \\\\27.50 & 77.00 \\\\\\hline \\end{array}"
      ],
      "text/plain": [
       "<IPython.core.display.Latex object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cadena  = '\\\\begin{array}{|r|r|} \\hline x & y \\\\\\\\ \\hline'\n",
    "for i in range(nx):\n",
    "    cadena += '%3.2f & %3.2f \\\\\\\\' % (x[i],y[i])\n",
    "cadena += '\\hline \\end{array}'\n",
    "\n",
    "display(Latex(cadena))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Definimos la función a ajustar.\n",
    "\n",
    "Esta será una función genérica $f(t, p_1,...,p_n)$ donde $t$ es el agrumento y $p_1,...,p_n$ una serie de parámetros.\n",
    "\n",
    "por ejemplo, para una oscilación armónica amortiguada\n",
    "\n",
    "\n",
    "$ y(t, \\omega,\\gamma,A,\\phi,y_0) = y_0 + A e^{-\\gamma t} cos(\\omega t+\\phi)$\n",
    "\n",
    "Donde\n",
    " $\\omega$ es la frecuencia angular,  $\\gamma$ es el coeficiente de amortiguamiento, $A$ la amplitud initial, $\\phi$ una fase inicial y $y_0$ la posición de equilibrio."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "#   Definimos la función, el primer argumento es la variable independiente, y los que siguen son los parámetros.\n",
    "\n",
    "def fun(t,w,gamma,A,phi,y0):\n",
    "    y = y0+ A*np.exp(-gamma*t)*np.cos(w*t+phi)\n",
    "    return y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "#   Introducimos valores iniciales arbitrarios para los parámetros que hay que ajustar.\n",
    "#   par = [w,gamma,A,phi,y0]\n",
    "\n",
    "par   = [0.1 ,1.  ,1. ,0., 0.]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Realizamos el ajuste no lineal. Obtenemos de aquí los parametros [0] y las incertidumbres [1]. De esta última como solo queremos las varianzas (es una matriz de covarianza) tomamos la diagonal."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "#   Usamos so.curve_fit\n",
    "'''   scipy.optimize.curve_fit(fun,x,y,p0,sigma,absolute_sigma)\n",
    "        fun: Función modelo que describimos; ha de tener la variable independiente como primer argumento, y los parámetros a ajustar a continuación.\n",
    "        x:  Array de datos de la variable independiente (por ejemplo, tiempo).\n",
    "        y:  Array de datos de la variable dependiente (por ejemplo, amplitud).\n",
    "        p0: (Opcional) Array con valores iniciales para los parámetros que se van a ajustar. Si no se proporcionan, curve_fit intenta estimarlos automáticamente\n",
    "        sigma:  (Opcional) Array de desviaciones estándar de los datos de y. Si se proporciona, el curve_fit minimizará el error ponderado en lugar del error simple.\n",
    "        absolute_sigma: (Opcional, por defecto False) Si True el argumento sigma se considera como errores absolutos. Si False, se considera que sigma son errores relativos y se ajusta el valor de covarianza.\n",
    "'''\n",
    "sol = so.curve_fit(fun,x,y,p0=(par),sigma=uy,absolute_sigma=True)\n",
    "\n",
    "#   La salida tiene dos arrays: sol[0] con los parámetros  \n",
    "w,gamma,A,phi,y0 = sol[0]\n",
    "\n",
    "#   y sol[1] con las incertidumbres. Ésta es una matriz de covarianza. Sí solo queremos las varianzas tomamos la diagonal\n",
    "sw,sgamma,sA,sphi,sy0 = np.sqrt(np.diag(sol[1]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Los datos obtenidos de tal ajuste son:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$\\omega$= -0.654 , $\\sigma(\\omega)$= 0.00057"
      ],
      "text/plain": [
       "<IPython.core.display.Latex object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/latex": [
       "$\\gamma$=  0.060 , $\\sigma(\\gamma)$= 0.00052"
      ],
      "text/plain": [
       "<IPython.core.display.Latex object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/latex": [
       "$A$= 67.303 , $\\sigma(A)$= 0.44740"
      ],
      "text/plain": [
       "<IPython.core.display.Latex object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/latex": [
       "$\\phi$= -2.821 , $\\sigma(\\phi)$= 0.00790"
      ],
      "text/plain": [
       "<IPython.core.display.Latex object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/latex": [
       "$y_0$= 77.515 , $\\sigma(y_0)$= 0.08198"
      ],
      "text/plain": [
       "<IPython.core.display.Latex object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Latex(r'$\\omega$= %6.3f , $\\sigma(\\omega)$= %6.5f'%(w,sw)))\n",
    "display(Latex(r'$\\gamma$= %6.3f , $\\sigma(\\gamma)$= %6.5f'%(gamma,sgamma)))\n",
    "display(Latex(r'$A$= %6.3f , $\\sigma(A)$= %6.5f'%(A,sA)))\n",
    "display(Latex(r'$\\phi$= %6.3f , $\\sigma(\\phi)$= %6.5f'%(phi,sphi)))\n",
    "display(Latex(r'$y_0$= %6.3f , $\\sigma(y_0)$= %6.5f'%(y0,sy0)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Por tanto, con estos parámetros, completamos la función, que es:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "#   La función estimada\n",
    "yEst=fun(x,w,gamma,A,phi,y0) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Graficamos los datos y la curva obtenida (ambas sobre mismo plano)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '$A$ frente a $t$')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5, 4))\n",
    "plt.plot(x,y, 'b.')\n",
    "plt.plot(x,yEst,'b-')\n",
    "plt.plot(x,y0+0.*x,'b')\n",
    "plt.grid()\n",
    "\n",
    "#   Nombre de los ejes\n",
    "plt.xlabel(r'$t$ (s)', fontsize = 12)\n",
    "plt.ylabel(r'$A$ (m)', fontsize = 12)\n",
    "\n",
    "#   Título\n",
    "plt.title(r'$A$ frente a $t$', fontsize = 14)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Densidades"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Datos Obtenidos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Relación de $X_{H_2 O}$ entre $m_{H_2 O}$ real y $m_{Total}$ real para aproximar (según una tabla teórica) $X_{H_2 O} = 0.0, 0.1, 0.2, ..., 1.0$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_agua = np.array([[1,0,20.002], [2, 0.825, 19.999], [3, 1.787, 20.000], [4, 2.870, 20.009], [5, 4.146, 19.997], [6, 5.642, 20.061], [7, 7.383, 20.000], [8, 9.559, 20.007], [9, 12.195, 20.008], [10, 15.567, 20.005], [11, 20.019, 20.019]])    # [Nº de Bote, masa H2O (g), masa total = masa H2O + masa Alcohol (g)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Medimos bote a bote una caida de Tª (ºC) y como va cambiando su densidad $\\rho$ ($\\frac{g}{{cm}^3}$). La incerteza va hasta su último decimal:\n",
    "s($\\rho$) = 0.0001 y s(T) = 0.1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "densidades_temperatura = np.array([[1, .7982, 29.5], [1, .7985, 29.0], [1, .7990, 28.5], [1, .7995, 28.0], [1, .7999, 27.5], [1, .8003, 27.0], [1, .8007, 26.5], [1, .8012, 26.0], [1, .8016, 25.5], [1, .8021, 25.0], [2, .8083, 30.0], [2, .8088, 29.5], [2, .8093, 29.0], [2, .8097, 28.5], [2, .8101, 28.0], [2, .8105, 27.5], [2, .8110, 27.0], [2, .8114, 26.5], [2, .8118, 26.0], [2, .8123, 25.5], [2, .8127, 25.0], [3, .8201, 30.0], [3, .8206, 29.5], [3, .8210, 29.0], [3, .8215, 28.5], [3, .8219, 28.0], [3, .8224, 27.5], [3, .8228, 27.0], [3, .8232, 26.5], [3, .8237, 26.0], [3, .8242, 25.5], [3, .8247, 25.0], [4, .8334, 30.0], [4, .8338, 29.5], [4, .8343, 29.0], [4, .8347, 28.5], [4, .8351, 28.0], [4, .8356, 27.5], [4, .8360, 27.0], [4, .8365, 26.5], [4, .8369, 26.0], [4, .8374, 25.5], [4, .8379, 25.0], [5, .8479, 30.0], [5, .8483, 29.5], [5, .8487, 29.0], [5, .8492, 28.5], [5, .8496, 28.0], [5, .8501, 27.5], [5, .8505, 27.0], [5, .8510, 26.5], [5, .8514, 26.0], [5, .8519, 25.5], [5, .8524, 25], [6, .8647, 30.0], [6, .8652, 29.5], [6, .8656, 29.0], [6, .8661, 28.5], [6, .8665, 28.0], [6, .8670, 27.5], [6, .8674, 27.0], [6, .8679, 26.5], [6, .8683, 26.0], [6, .8688, 25.5], [6, .8693, 25.0], [7, .8845, 30.0], [7, .8849, 29.5], [7, .8853, 29.0], [7, .8858, 28.5], [7, .8862, 28.0], [7, .8866, 27.5], [7, .8871, 27.0], [7, .8875, 26.5], [7, .8880, 26.0], [7, .8884, 25.5], [7, .8889, 25.0], [8, .9078, 30.0], [8, .9082, 29.5], [8, .9087, 29.0], [8, .9091, 28.5], [8, .9095, 28.0], [8, .9099, 27.5], [8, .9103, 27.0], [8, .9107, 26.5], [8, .9112, 26.0], [8, .9117, 25.5], [8, .9121, 25.0], [9, .9346, 30.0], [9, .9350, 29.5], [9, .9354, 29.0], [9, .9358, 28.5], [9, .9361, 28.0], [9, .9365, 27.5], [9, .9369, 27.0], [9, .9373, 26.5], [9, .9377, 26.0], [9, .9381, 25.5], [9, .9385, 25.0], [10, .9627, 30.0], [10, .9630, 29.5], [10, .9633, 29.0], [10, .9636, 28.5], [10, .9638, 28.0], [10, .9641, 27.5], [10, .9644, 27.0], [10, .9646, 26.5], [10, .9649, 26.0], [10, .9652, 25.5], [10, .9655, 25.0], [11, .9959, 30.0], [11, .9960, 29.5], [11, .9962, 29.0], [11, .9964, 28.5], [11, .9965, 28.0], [11, .9967, 27.5], [11, .9968, 27.0], [11, .9970, 26.5], [11, .9971, 26.0], [11, .9973, 25.5], [11, .9974, 25.0]])   # [Nº de Bote, densidad H2O (g/cm^3), temperatura (ºC)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Generar tabla Latex:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\\begin{table}[h]\n",
      "    \\centering\n",
      "    \\begin{tabular}{|c|c|c|}\n",
      "        \\hline\n",
      "        Nº de Bote & Densidad H$_2$O (g/cm$^3$) & Temperatura (ºC) \\\\\n",
      "        \\hline\n",
      "        1 & 0.7982 & 29.5 \\\\\n",
      "        1 & 0.7985 & 29.0 \\\\\n",
      "        1 & 0.7990 & 28.5 \\\\\n",
      "        1 & 0.7995 & 28.0 \\\\\n",
      "        1 & 0.7999 & 27.5 \\\\\n",
      "        1 & 0.8003 & 27.0 \\\\\n",
      "        1 & 0.8007 & 26.5 \\\\\n",
      "        1 & 0.8012 & 26.0 \\\\\n",
      "        1 & 0.8016 & 25.5 \\\\\n",
      "        1 & 0.8021 & 25.0 \\\\\n",
      "        2 & 0.8083 & 30.0 \\\\\n",
      "        2 & 0.8088 & 29.5 \\\\\n",
      "        2 & 0.8093 & 29.0 \\\\\n",
      "        2 & 0.8097 & 28.5 \\\\\n",
      "        2 & 0.8101 & 28.0 \\\\\n",
      "        2 & 0.8105 & 27.5 \\\\\n",
      "        2 & 0.8110 & 27.0 \\\\\n",
      "        2 & 0.8114 & 26.5 \\\\\n",
      "        2 & 0.8118 & 26.0 \\\\\n",
      "        2 & 0.8123 & 25.5 \\\\\n",
      "        2 & 0.8127 & 25.0 \\\\\n",
      "        3 & 0.8201 & 30.0 \\\\\n",
      "        3 & 0.8206 & 29.5 \\\\\n",
      "        3 & 0.8210 & 29.0 \\\\\n",
      "        3 & 0.8215 & 28.5 \\\\\n",
      "        3 & 0.8219 & 28.0 \\\\\n",
      "        3 & 0.8224 & 27.5 \\\\\n",
      "        3 & 0.8228 & 27.0 \\\\\n",
      "        3 & 0.8232 & 26.5 \\\\\n",
      "        3 & 0.8237 & 26.0 \\\\\n",
      "        3 & 0.8242 & 25.5 \\\\\n",
      "        3 & 0.8247 & 25.0 \\\\\n",
      "        4 & 0.8334 & 30.0 \\\\\n",
      "        4 & 0.8338 & 29.5 \\\\\n",
      "        4 & 0.8343 & 29.0 \\\\\n",
      "        4 & 0.8347 & 28.5 \\\\\n",
      "        4 & 0.8351 & 28.0 \\\\\n",
      "        4 & 0.8356 & 27.5 \\\\\n",
      "        4 & 0.8360 & 27.0 \\\\\n",
      "        4 & 0.8365 & 26.5 \\\\\n",
      "        4 & 0.8369 & 26.0 \\\\\n",
      "        4 & 0.8374 & 25.5 \\\\\n",
      "        4 & 0.8379 & 25.0 \\\\\n",
      "        5 & 0.8479 & 30.0 \\\\\n",
      "        5 & 0.8483 & 29.5 \\\\\n",
      "        5 & 0.8487 & 29.0 \\\\\n",
      "        5 & 0.8492 & 28.5 \\\\\n",
      "        5 & 0.8496 & 28.0 \\\\\n",
      "        5 & 0.8501 & 27.5 \\\\\n",
      "        5 & 0.8505 & 27.0 \\\\\n",
      "        5 & 0.8510 & 26.5 \\\\\n",
      "        5 & 0.8514 & 26.0 \\\\\n",
      "        5 & 0.8519 & 25.5 \\\\\n",
      "        5 & 0.8524 & 25.0 \\\\\n",
      "        6 & 0.8647 & 30.0 \\\\\n",
      "        6 & 0.8652 & 29.5 \\\\\n",
      "        6 & 0.8656 & 29.0 \\\\\n",
      "        6 & 0.8661 & 28.5 \\\\\n",
      "        6 & 0.8665 & 28.0 \\\\\n",
      "        6 & 0.8670 & 27.5 \\\\\n",
      "        6 & 0.8674 & 27.0 \\\\\n",
      "        6 & 0.8679 & 26.5 \\\\\n",
      "        6 & 0.8683 & 26.0 \\\\\n",
      "        6 & 0.8688 & 25.5 \\\\\n",
      "        6 & 0.8693 & 25.0 \\\\\n",
      "        7 & 0.8845 & 30.0 \\\\\n",
      "        7 & 0.8849 & 29.5 \\\\\n",
      "        7 & 0.8853 & 29.0 \\\\\n",
      "        7 & 0.8858 & 28.5 \\\\\n",
      "        7 & 0.8862 & 28.0 \\\\\n",
      "        7 & 0.8866 & 27.5 \\\\\n",
      "        7 & 0.8871 & 27.0 \\\\\n",
      "        7 & 0.8875 & 26.5 \\\\\n",
      "        7 & 0.8880 & 26.0 \\\\\n",
      "        7 & 0.8884 & 25.5 \\\\\n",
      "        7 & 0.8889 & 25.0 \\\\\n",
      "        8 & 0.9078 & 30.0 \\\\\n",
      "        8 & 0.9082 & 29.5 \\\\\n",
      "        8 & 0.9087 & 29.0 \\\\\n",
      "        8 & 0.9091 & 28.5 \\\\\n",
      "        8 & 0.9095 & 28.0 \\\\\n",
      "        8 & 0.9099 & 27.5 \\\\\n",
      "        8 & 0.9103 & 27.0 \\\\\n",
      "        8 & 0.9107 & 26.5 \\\\\n",
      "        8 & 0.9112 & 26.0 \\\\\n",
      "        8 & 0.9117 & 25.5 \\\\\n",
      "        8 & 0.9121 & 25.0 \\\\\n",
      "        9 & 0.9346 & 30.0 \\\\\n",
      "        9 & 0.9350 & 29.5 \\\\\n",
      "        9 & 0.9354 & 29.0 \\\\\n",
      "        9 & 0.9358 & 28.5 \\\\\n",
      "        9 & 0.9361 & 28.0 \\\\\n",
      "        9 & 0.9365 & 27.5 \\\\\n",
      "        9 & 0.9369 & 27.0 \\\\\n",
      "        9 & 0.9373 & 26.5 \\\\\n",
      "        9 & 0.9377 & 26.0 \\\\\n",
      "        9 & 0.9381 & 25.5 \\\\\n",
      "        9 & 0.9385 & 25.0 \\\\\n",
      "        10 & 0.9627 & 30.0 \\\\\n",
      "        10 & 0.9630 & 29.5 \\\\\n",
      "        10 & 0.9633 & 29.0 \\\\\n",
      "        10 & 0.9636 & 28.5 \\\\\n",
      "        10 & 0.9638 & 28.0 \\\\\n",
      "        10 & 0.9641 & 27.5 \\\\\n",
      "        10 & 0.9644 & 27.0 \\\\\n",
      "        10 & 0.9646 & 26.5 \\\\\n",
      "        10 & 0.9649 & 26.0 \\\\\n",
      "        10 & 0.9652 & 25.5 \\\\\n",
      "        10 & 0.9655 & 25.0 \\\\\n",
      "        11 & 0.9959 & 30.0 \\\\\n",
      "        11 & 0.9960 & 29.5 \\\\\n",
      "        11 & 0.9962 & 29.0 \\\\\n",
      "        11 & 0.9964 & 28.5 \\\\\n",
      "        11 & 0.9965 & 28.0 \\\\\n",
      "        11 & 0.9967 & 27.5 \\\\\n",
      "        11 & 0.9968 & 27.0 \\\\\n",
      "        11 & 0.9970 & 26.5 \\\\\n",
      "        11 & 0.9971 & 26.0 \\\\\n",
      "        11 & 0.9973 & 25.5 \\\\\n",
      "        11 & 0.9974 & 25.0 \\\\\n",
      "        \\hline\n",
      "    \\end{tabular}\n",
      "    \\caption{Densidad del agua en función de la temperatura para distintos botes.}\n",
      "    \\label{tab:densidades_temperatura}\n",
      "\\end{table}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "latex_code = r\"\"\"\\begin{table}[h]\n",
    "    \\centering\n",
    "    \\begin{tabular}{|c|c|c|}\n",
    "        \\hline\n",
    "        Nº de Bote & Densidad H$_2$O (g/cm$^3$) & Temperatura (ºC) \\\\\n",
    "        \\hline\n",
    "\"\"\"\n",
    "for row in densidades_temperatura:\n",
    "    latex_code += f\"        {int(row[0])} & {row[1]:.4f} & {row[2]:.1f} \\\\\\\\\\n\"\n",
    "\n",
    "latex_code += r\"\"\"        \\hline\n",
    "    \\end{tabular}\n",
    "    \\caption{Densidad del agua en función de la temperatura para distintos botes.}\n",
    "    \\label{tab:densidades_temperatura}\n",
    "\\end{table}\n",
    "\"\"\"\n",
    "\n",
    "print(latex_code)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Masas Corregidas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Como en laboratorio usamos un alcohol no puro, sino de 96% en volumen, hemos de corregir para ello encontrar las nuevas concentraciones reales con sus incertidumbres:\n",
    "\n",
    "Antes (Masas No Corregidas):\n",
    "$$m_{H_2 O}=\\frac{m_T}{1+(\\frac{M_{OH}}{M_{H_2 O}})\\cdot(\\frac{1}{X_{H_2}O}-1)}$$\n",
    "$$m_{OH}=m_T-m_{H_2 O}$$\n",
    "$$m_T=20.000\\space g$$\n",
    "\n",
    "Ahora (Masas Corregidas):\n",
    "$$m_{H_2 O \\space Total}=m_{H_2 O}+0.04\\cdot m_{96}\\cdot \\frac{\\rho_{H_2 O}}{\\rho_{96}}$$\n",
    "$$m_{OH\\space Total} = 0.96 \\cdot m_{96} \\cdot \\frac{\\rho_{OH}}{\\rho_{96}}$$\n",
    "con, a 20ºC$$\\rho_{H_2 O}=0.998\\space\\frac{g}{cm^3};\\space\\rho_{OH}=0.789\\space\\frac{g}{cm^3};\\space\\rho_{96}=0.804\\space\\frac{g}{cm^3}$$\n",
    "\n",
    "Concentración:\n",
    "$$X_{H_2 O}=\\frac{1}{1+\\frac{m_{OH}}{m_{H_2 O}}\\cdot\\frac{M_{H_2 O}}{M_{OH}}}$$\n",
    "con$$M_{H_2 O}=18.02\\space \\frac{g}{mol};\\space\\space M_{OH}=46.06\\space \\frac{g}{mol}$$\n",
    "\n",
    "\n",
    "Incertidumbres:\n",
    "$$s(m_{H_2 O Total}) = 0.001\\space g$$\n",
    "$$s(m_{OH Total}) = 0.001\\space g$$\n",
    "$$s(X_{H_2 O})=\\frac{M_{OH}\\cdot M_{H_2 O}}{(m_{H_2 O\\space Total}^2\\cdot s^2(m_{OH\\space Total})+m_{OH\\space Total}^2 \\cdot s^2(m_{H_2 O\\space Total}))^2}\\cdot\\sqrt{m_{H_2 O\\space Total}^2\\cdot s^2(m_{OH\\space Total})+m_{OH\\space Total}^2\\cdot s^2(m_{H_2 O\\space Total})}$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bote |m_H2O_medida (g)| m_total (g)| m_96 (g) | m_H2O_total (g) ± err         | m_OH_total (g) ± err          | X_H2O_corr\n",
      "-----------------------------------------------------------------------------------------------------------------------------------\n",
      "   1 |          0.000 |     20.002 |   20.002 |                0.993 ±  0.001 |               18.844 ±  0.001 |       0.12 ±   0.01\n",
      "   2 |          0.825 |     19.999 |   19.174 |                1.777 ±  0.001 |               18.064 ±  0.001 |       0.20 ±   0.01\n",
      "   3 |          1.787 |     20.000 |   18.213 |                2.691 ±  0.001 |               17.158 ±  0.001 |       0.29 ±   0.01\n",
      "   4 |          2.870 |     20.009 |   17.139 |                3.721 ±  0.001 |               16.146 ±  0.001 |       0.37 ±   0.01\n",
      "   5 |          4.146 |     19.997 |   15.851 |                4.933 ±  0.001 |               14.933 ±  0.001 |       0.46 ±   0.01\n",
      "   6 |          5.642 |     20.061 |   14.419 |                6.358 ±  0.001 |               13.584 ±  0.001 |       0.54 ±   0.01\n",
      "   7 |          7.383 |     20.000 |   12.617 |                8.009 ±  0.001 |               11.886 ±  0.001 |       0.63 ±   0.01\n",
      "   8 |          9.559 |     20.007 |   10.448 |               10.078 ±  0.001 |                9.843 ±  0.001 |       0.72 ±   0.01\n",
      "   9 |         12.195 |     20.008 |    7.813 |               12.583 ±  0.001 |                7.361 ±  0.001 |       0.81 ±   0.01\n",
      "  10 |         15.567 |     20.005 |    4.438 |               15.787 ±  0.001 |                4.181 ±  0.001 |       0.91 ±   0.01\n",
      "  11 |         20.019 |     20.019 |    0.000 |               20.019 ±  0.001 |                0.000 ±  0.001 |       1.00 ±   0.01\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from uncertainties import ufloat  # Para manejar variables con incertidumbre\n",
    "\n",
    "# Constantes (a 20ºC)\n",
    "M_H2O = 18.02      # g/mol (masa molar del agua)\n",
    "M_OH  = 46.06      # g/mol (masa molar del etanol)\n",
    "rho_H2O = 0.998    # g/cm³, densidad del agua\n",
    "rho_OH   = 0.789   # g/cm³, densidad del etanol\n",
    "rho_96   = 0.804   # g/cm³, densidad del alcohol al 96%\n",
    "\n",
    "# Incertidumbres asignadas a las masas corregidas (g)\n",
    "s_m_H2O_total = 0.001\n",
    "s_m_OH_total  = 0.001\n",
    "\n",
    "# Datos de laboratorio:\n",
    "# Cada fila es: [Nº de Bote, m_H2O_medida (g), m_total (g)]\n",
    "\n",
    "print(\"Bote |m_H2O_medida (g)| m_total (g)| m_96 (g) | m_H2O_total (g) ± err         | m_OH_total (g) ± err          | X_H2O_corr\")\n",
    "print(\"-----------------------------------------------------------------------------------------------------------------------------------\")\n",
    "\n",
    "for row in X_agua:\n",
    "    bote = int(row[0])\n",
    "    # Se extraen las mediciones\n",
    "    m_H2O_meas = row[1]   # masa de agua medida (g)\n",
    "    m_total    = row[2]   # masa total medida (g)\n",
    "    \n",
    "    # Se calcula la masa no corregida del alcohol\n",
    "    m_96 = m_total - m_H2O_meas\n",
    "    \n",
    "    # CORRECCIÓN: se calcula la masa total de agua y la de etanol tras corregir el alcohol al 96%\n",
    "    m_H2O_total_value = m_H2O_meas + 0.04 * m_96 * (rho_H2O / rho_96)\n",
    "    m_OH_total_value  = 0.96 * m_96 * (rho_OH   / rho_96)\n",
    "    \n",
    "    # Se envuelven los resultados corregidos en objetos ufloat con incertidumbre asignada\n",
    "    m_H2O_total = ufloat(m_H2O_total_value, s_m_H2O_total)\n",
    "    m_OH_total  = ufloat(m_OH_total_value,  s_m_OH_total)\n",
    "    \n",
    "    # Cálculo de la fracción molar corregida de agua\n",
    "    # X_H2O = 1 / (1 + (m_OH_total/m_H2O_total)*(M_H2O/M_OH))\n",
    "    X_H2O_corr = 1 / (1 + (m_OH_total / m_H2O_total) * (M_H2O / M_OH))\n",
    "    \n",
    "    error_X_H2O = X_H2O_corr.std_dev if X_H2O_corr.std_dev > 0.01 else 0.01\n",
    "    \n",
    "    # Imprimir resultados: se muestran valores nominales y las incertidumbres\n",
    "    print(f\"{bote:4d} | {m_H2O_meas:14.3f} | {m_total:10.3f} | {m_96:8.3f} | \"\n",
    "          f\"{m_H2O_total.nominal_value:20.3f} ± {m_H2O_total.std_dev:6.3f} | \"\n",
    "          f\"{m_OH_total.nominal_value:20.3f} ± {m_OH_total.std_dev:6.3f} | \"\n",
    "          f\"{X_H2O_corr.nominal_value:10.2f} ± {error_X_H2O:6.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ajuste Polinómico y Graficación de Datos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para una temperatura deseada, realizamos un ajuste polinómico de segundo orden de la densidad en función de la concentración a una Tª=cte. tal que $$\\rho(X)= a + b\\cdot X+c\\cdot X^2$$ con incertidumbre aplicada.\n",
    "Aparte representaremos en una misma gráfica la densidad en función de la temperatura a intervalos de 0.5 ºC entre 25 ºC y 30 ºC para todos los botes, es decir 11 curvas rectas, una para cada concentración. En ella se observará o debería observarse que ninguna de las curvas se cruce en el intervalo, ya que son paralelas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Ajuste polinómico de densidad a T = 27.0°C:\n",
      "ρ(x) = (0.792621 ± 0.001273) + (0.060449 ± 0.005227)*x + (0.142972 ± 0.004580)*x²\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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O1kkCdevWtWhfUVGBS5cuubwftth7zq5evYrMzEzMmzcPs2fPtrmeNTXdRmJiIvbt24fKykqrJwWsW7cOgYGB2Lp1KwICAqTly5Ytk7Vr3LgxRFGUqoFG5r+3gGueXyU6nQ6A/qiEsU/GPtxzzz2ytllZWdLjgPWfqcTERGzfvh133nmnxy8bRWqODssS1dqxYwdee+01NG3aFE888QQAICYmBn369MGSJUsU/wmaX+LEEVevXrWoAnXs2BEArB6a1Wg0SElJwYYNG5CTkyMtP3bsGLZu3WrRFpBXmoqKiiz+6SQnJ8PPzw8ffvihrG1GRobDY+F5HsOHD8d3332HFStWQKfTyQ7JArC49IS/vz9uv/12MMakOYelpaU4fvy4dJZfddTGa2XPhg0bZHPm9u/fj3379uGBBx5waZ80Go3Fz8yHH35oUXUzXt9NKQwkJibip59+ki3773//a7VyV5N+2GLvOVP6+QWc+7ms6TaGDRuGwsJCLFy40OIx4zY1Gg04jpON/cyZM9iwYYOsvXFcH3zwgd2+uOL5VfLdd98BgFRR79KlC2JiYvDxxx/L/uZs3rwZx44dk53Ja+1n6pFHHoEgCHjttdcs9qfT6WocSIl7UeWOqMLmzZtx/Phx6HQ65OXlYceOHdi2bRsaN26Mb7/9VlZNWrRoEe666y60a9cO48ePR7NmzZCXl4c9e/bg/Pnz+PPPP53a92effYbFixdjyJAhSExMxPXr1/HJJ58gLCwM/fv3t7revHnzsGXLFvTq1QvPPfccdDqddP24w4cPS+369esHf39/DBgwAM888wxu3LiBTz75BDExMbKAER0djZdeegnp6el46KGH0L9/f/zxxx/YvHkzoqKiHB7Po48+ig8//BBz5sxBu3btLC690a9fP8TFxeHOO+9EbGwsjh07hoULF+LBBx+U5jbu378fffv2xZw5c2p0JXxXv1b2NG/eHHfddReeffZZlJeXIyMjA5GRkXj55Zdd2qeHHnoIK1asQHh4OG6//Xbs2bMH27dvR2RkpKxdx44dodFo8J///AdFRUUICAiQrnf49NNPY+LEiRg2bBjuu+8+/Pnnn9i6datTr7Wj/ajJcxYWFobevXvjrbfeQmVlJRo0aIAffvgB//zzj8P7qOk2Ro0ahc8//xxpaWnYv38/evXqhZKSEmzfvh3PPfccBg0ahAcffBALFizA/fffjxEjRiA/Px+LFi1C8+bNZb+PHTt2xOOPP47FixejqKgIPXv2RGZmJrKzsy3264rn98SJE9J1OktLS7F371589tlnaN68OUaOHAlAX0n+z3/+g7Fjx+Luu+/G448/Ll0KpUmTJpg6daq0vc6dOwPQnxCSkpICjUaDxx57DHfffTeeeeYZpKen49ChQ+jXrx/8/Pxw8uRJrF27Fu+//z6GDx/ucL+Jh7n9/FxCXMh4mQfjl7+/P4uLi2P33Xcfe//991lxcbHieqdOnWKjRo1icXFxzM/PjzVo0IA99NBD7KuvvrLYtvklTn788UfZ5SkOHjzIHn/8cdaoUSMWEBDAYmJi2EMPPcR+//132XpQuHTFrl27WOfOnZm/vz9r1qwZ+/jjj6XLQZj69ttvWfv27VlgYCBr0qQJ+89//iNd3uGff/6R2gmCwObNm8fq16/PgoKCWJ8+fdiRI0csLo9hiyiKLCEhgQFgr7/+usXjS5YsYb1792aRkZEsICCAJSYmsn/961+sqKjI4jlSulSHNUqXQmGsZq+V8bksKCiQLR89ejQLDg6W7hsv6/H222+zd999lyUkJLCAgADWq1cv9ueff1r0tSZ9Yoyxq1evsrFjx7KoqCgWEhLCUlJS2PHjxxVfp08++YQ1a9ZMukSO8edOEAT2yiuvsKioKFanTh2WkpLCsrOzrV4Kpab9MOfMc3b+/Hk2ZMgQFhERwcLDw9nDDz/MLl68aPF6W3u9nNmGNaWlpWzGjBmsadOmzM/Pj8XFxbHhw4ezU6dOSW0+/fRT1qJFCxYQEMBatWrFli1bpvj7ePPmTfb888+zyMhIFhwczAYMGMDOnTtn0ZeaPL+MWV4KRaPRsIYNG7IJEyawvLw8i/Zr1qxhnTp1YgEBAaxevXrsiSeekF2mhjH9pYAmT57MoqOjGcdxFmP773//yzp37syCgoJYaGgoa9euHXv55ZfZxYsX7faXeA+OsWrMKiaEEBU5c+YMmjZtirffflv2SRzEOnrOCPFeNOeOEEIIIURFKNwRQgghhKgIhTtCCCGEEBWhOXeEEEIIISpClTtCCCGEEBWhcEcIIYQQoiJ0EeNqEkURFy9eRGhoqM2PCCKEEEIIqSnGGK5fv474+HjwvO3aHIW7arp48SISEhI83Q1CCCGE3ELOnTuHhg0b2mxD4a6ajB+zdO7cOYSFhXm4N4QQQghRs+LiYiQkJEj5wxYKd9VkPBQbFhZG4Y4QQgghbuHIVDA6oYIQQgghREUo3BFCCCGEqAiFO0IIIYQQFaFwRwghhBCiIhTuCCGEEEJUhMIdIYQQQoiKeDTc/fTTTxgwYADi4+PBcRw2bNhgd52dO3fijjvuQEBAAJo3b47ly5dbtFm0aBGaNGmCwMBAJCUlYf/+/bLHy8rKkJqaisjISISEhGDYsGHIy8tz0agIIYQQQjzHo+GupKQEHTp0wKJFixxq/88//+DBBx9E3759cejQIUyZMgVPP/00tm7dKrVZs2YN0tLSMGfOHBw8eBAdOnRASkoK8vPzpTZTp07Fd999h7Vr12LXrl24ePEihg4d6vLxEUIIIYS4G8cYY57uBKC/KN/XX3+NwYMHW23zyiuv4Pvvv8eRI0ekZY899hiuXbuGLVu2AACSkpLQtWtXLFy4EID+M2ATEhIwefJkTJs2DUVFRYiOjsbq1asxfPhwAMDx48fRunVr7NmzB927d3eov8XFxQgPD0dRURFdxJgQQgghtcqZ3OFTc+727NmD5ORk2bKUlBTs2bMHAFBRUYEDBw7I2vA8j+TkZKnNgQMHUFlZKWvTqlUrNGrUSGqjpLy8HMXFxbKv2sKYAFa+D+zmRv13JtTavmqTWsZBCCGE+BKf+vix3NxcxMbGypbFxsaiuLgYN2/exNWrVyEIgmKb48ePS9vw9/dHRESERZvc3Fyr+05PT8e8efNcMxAbWNlWsOI3ANGkL3wcEDYDXGBKre/fVVQzDiYAFb8DYgHARwP+XcBxGk93yylqGAOgjnGoYQyEEO/nU+HOk6ZPn460tDTpvvEDfF2JlW0Fu/Y8ALMj5WKefnnEBz4RjFQ1Dh8PqGoYA6COcahhDIB6AqoaxqGGMZDa4VPhLi4uzuKs1ry8PISFhSEoKAgajQYajUaxTVxcnLSNiooKXLt2TVa9M22jJCAgAAEBAa4bjBnGBP0ffvNApH8UAAdW/CYQkOzVv7yqGYcKAqoaxgCoYxxqGAOgooCqgnGoYQyAegKqt43Dp8Jdjx49sGnTJtmybdu2oUePHgAAf39/dO7cGZmZmdKJGaIoIjMzE5MmTQIAdO7cGX5+fsjMzMSwYcMAAFlZWcjJyZG24xEVv8t/SS0wQLwEVnA/GB9iWMYZvnGG2+ZfMPtu+OLMH1daD2ZtlbarsA3ximPjuDoRTBMH/bRP4374qvsw3Of4qtsmj3Gc6X3jNpTbQqkteLN9Gqef8vp/v8VzYT2gAqxoNhgCDb+8Np4Tu8+1yfNt97lW2rbydhkTgeJ5tsdQ/BqY3x3gOK3l88YpPF/gwXGcwvZqjxreLKhhDIDKAqqPj0MNYwBUFFC9cBwePVv2xo0byM7OBgB06tQJCxYsQN++fVGvXj00atQI06dPx4ULF/D5558D0F8KpW3btkhNTcW4ceOwY8cOPP/88/j++++RkqJ/AtesWYPRo0djyZIl6NatGzIyMvDll1/i+PHj0ly8Z599Fps2bcLy5csRFhaGyZMnAwB+/fVXh/vu6rNl2c2NYEVp9hsS4nHmAdo0hDsWEquCrJ22YikgnrHfJU0rQBMO171pcTxIVy03b2/4EvKBip/sjyEgBdA0cOANTdUbEcs3QOZvjBReF860relzb70tYwCK/gWwq9b7z0UCEQvN3vDAwefaZJnN59rsdVR8La1vm0EELg8BxHwo4wA+FojaCo7zk54Td7+psYUxAaygr4030RzAx4GL3uGbbxYMrxfnSwHVTeNwJnd4tHL3+++/o2/fvtJ945y20aNHY/ny5bh06RJycnKkx5s2bYrvv/8eU6dOxfvvv4+GDRvif//7nxTsAODRRx9FQUEBZs+ejdzcXHTs2BFbtmyRnWTx3nvvged5DBs2DOXl5UhJScHixYvdMGIb+GjH2oW8BM6vJQAGSLmcWfmC/HFm/pi1dZjhpq3tmrfX32e6f4CbK+2PI3A4OG0DACKY1C/R5AsAM95m8u/MtK3JusxkXdPHmUJbqb1CW7EQEE7bHwMfD/BhZs+JyXPj8PMNs7Z2nmvZtq1sl+kAlNsfQ7UwAILhy2SRtabuIByXdccnlW+1+bBXXLPKFnYZuPq49/fTJqYPTfkdLP6CWryhcepogbUjFEph20ZbcAC74djRkSsjwfgohe2YvyGztk+TNxEOveGwtW3T7fD6v/k33oXyT7Xx6MgsMLG86s2CReg3vW3lDYDdo1pmy5w80qI/QjLXxjg8V5X3muvc+RqXV+6kd2N5UP5B8ZF3YyoYByvfB3Z1pN12XN0V4AKS3NAj5zk6BtT9HJx/N1gPyuaB2Cxoy9qbh3RbwdqxtqzyGHDjHfvjCE4Fp20O171xMWnjTEi3aM/AdDlA2Vf2xxD4IKCJV3hTY3x+FN4AWbxWJs8fE+XrW7xWSm+krLQVrwLiRftj4OoBfB2Tp8ORNy2WbxItH1d4nhWea+X1YLYuIe7lqv8VPlO5I1U4TgOEzTCUdznI/xgZyrthr3ptIDJSxTj8u+jnS9gJqPDv4u6eOc7BMXD+XU3efcsf9gr+PcFKV9ofR8gk7/2ZYgJYxW77Ywh/x2vH4PAbnoj3vfYNDwCI5XuBq6PsN4xYAs7/DsjfeDjyhsbKGxfFIwU2tm1jO6zyBFDiwKc61RkNTttEIcybh/+qx5SPopi+sbD3hsP6tgFULRcuArq/7Y9B0xzQRML6USqlZYblNo9smS83tndyu6wUYNfsj0MssN/GxSjceREuMAWI+EBxYiYX9qpPzD8AfH8cagioahgDoI5xqGEMqnjDA4Dz7wrmyJuegN7e+3oE9AO7uc7+GEKnOT0Gd72nc/jNQtgcr36z4PAREkenXbkQHZatptr8+DFvO6W6unx9HMpnQNX3iYBqpIYxAOoYh6+PoWriOKAYUH1uAjzgq+Pw9TGoYfoO4P5xOJM7KNxVE3227K3B1wMqoI4xAOoYh6+PwdcDqpEaxuHrY/D1gGrkznFQuHMDCneEkFuRrwdUIzWMw9fH4OsB1chd46Bw5wYU7gghhJCa8fWAauSOcdDZsoQQQgjxehynAbz4pAlHeds4ePtNCCGEEEKIr6BwRwghhBCiIhTuCCGEEEJUhMIdIYQQQoiKULgjhBBCCFERCneEEEIIISpC4Y4QQgghREUo3BFCCCGEqAiFO0IIIYQQFaFwRwghhBCiIhTuCCGEEEJUhMIdIYQQQoiKULgjhBBCCFERCneEEEIIISpC4Y4QQgghREUo3BFCCCGEqAiFO0IIIYQQFaFwRwghhBCiIhTuCCGEEEJUhMIdIYQQQoiKULgjhBBCCFERCneEEEIIISpC4Y4QQgghREUo3BFCCCGEqAiFO0IIIYQQFaFwRwghhBCiIh4Pd4sWLUKTJk0QGBiIpKQk7N+/32rbyspKzJ8/H4mJiQgMDESHDh2wZcsWWZsmTZqA4ziLr9TUVKlNnz59LB6fOHFirY2REEIIIcRdPBru1qxZg7S0NMyZMwcHDx5Ehw4dkJKSgvz8fMX2M2fOxJIlS/Dhhx/i6NGjmDhxIoYMGYI//vhDavPbb7/h0qVL0te2bdsAAA8//LBsW+PHj5e1e+utt2pvoIQQQgghbsIxxpindp6UlISuXbti4cKFAABRFJGQkIDJkydj2rRpFu3j4+MxY8YMWRVu2LBhCAoKwsqVKxX3MWXKFGzcuBEnT54Ex3EA9JW7jh07IiMjo9p9Ly4uRnh4OIqKihAWFlbt7RBCCCGE2ONM7vBY5a6iogIHDhxAcnJyVWd4HsnJydizZ4/iOuXl5QgMDJQtCwoKwu7du63uY+XKlRg3bpwU7IxWrVqFqKgotG3bFtOnT0dpaanN/paXl6O4uFj2RQghhBDibbSe2nFhYSEEQUBsbKxseWxsLI4fP664TkpKChYsWIDevXsjMTERmZmZWL9+PQRBUGy/YcMGXLt2DWPGjJEtHzFiBBo3boz4+HgcPnwYr7zyCrKysrB+/Xqr/U1PT8e8efOcGyQhhBBCiJt5LNxVx/vvv4/x48ejVatW4DgOiYmJGDt2LJYuXarY/tNPP8UDDzyA+Ph42fIJEyZIt9u1a4f69evj3nvvxalTp5CYmKi4renTpyMtLU26X1xcjISEBBeMihBCCCHEdTx2WDYqKgoajQZ5eXmy5Xl5eYiLi1NcJzo6Ghs2bEBJSQnOnj2L48ePIyQkBM2aNbNoe/bsWWzfvh1PP/203b4kJSUBALKzs622CQgIQFhYmOyLEEIIIcTbeCzc+fv7o3PnzsjMzJSWiaKIzMxM9OjRw+a6gYGBaNCgAXQ6HdatW4dBgwZZtFm2bBliYmLw4IMP2u3LoUOHAAD169d3bhCEEEIIIV7Go4dl09LSMHr0aHTp0gXdunVDRkYGSkpKMHbsWADAqFGj0KBBA6SnpwMA9u3bhwsXLqBjx464cOEC5s6dC1EU8fLLL8u2K4oili1bhtGjR0OrlQ/x1KlTWL16Nfr374/IyEgcPnwYU6dORe/evdG+fXv3DJwQQgghpJZ4NNw9+uijKCgowOzZs5Gbm4uOHTtiy5Yt0kkWOTk54Pmq4mJZWRlmzpyJ06dPIyQkBP3798eKFSsQEREh2+727duRk5ODcePGWezT398f27dvl4JkQkIChg0bhpkzZ9bqWAkhhBBC3MGj17nzZXSdO0IIIYS4i09c544QQgghhLgehTtCCCGEEBWhcEcIIYQQoiIU7gghhBBCVMSnPqHiVsGYgGtlv6NcKECAJhoRgV3AcRpPd4sQQgghPoDCnZfJL/kBJ6+8gXIhV1oWoIlDi3ozEBPcz4M9c54aQqoaxkAIIeTWQuHOi+SX/IAjBc8DkF+dplzIw5GC59EWH/hMwFNDSFXDGAD1BFS1jIMQQmobXeeumlx9nTvGBPx6/h5ZkJDjEKCJRc+GO7z+H5q1kApwAIC20d4fUtUwBkA9AVUt41BDQFXDGAjxRc7kDgp31eTqcHf15j78kTfKbrtQv7bw10YC4MGBB8dpwIHX3+d4cNDIbnOc4THptgYcOMMfY+U2+u1pTLbHSfvhoAEMbfS3Of16hvaMAccvv4pK8arVMfjzkWgf+wl4zk+/L2NfzW7L+2Xoh6xfPDiOq+lTb0EtQVtNAVUt4/D1gKqGMRipIaSqYQzEcRTu3MDV4S73xkYcLXzRBT271XBmwdAYOg0h1iKMGsOjScCVBWQNBLEEJZUn7e45IqAbArQxMA2dMAmm8qBtDMz6fcNKkObAGfrOmwRwyz5ahmt5MGbg8HfBFFSKV6z235+PQse45eA5P8MYeP13KVRzCvdN23AmfeIU7tccBW3voYYxGKkhpKphDIB6Aqo7xkHhzg08VblrFDYBwX5NwSCAQQRjAgCmv89EQFougkEAFG8b2lncFsDAACaYbE+U9qNvW3WbQQAYk/oCJqBCuIIy4bzdcWi4UPCcv0l/5eMw9pf4Mr4qMIKTQjashEb9fVQFRPAQWDkqxUK7e6rjlwg/PhyyqrWN8GteCbYfym3dNgvl4GUBnTGG7Kv/hk4sstp/P74e2kS9C47XSsHdso/KFXjH+1v90K2WkA2oI6SqYQyAegKqu8ZB4c4Nam/OXR4sf2EBX/nj6WhI7RT7OeoGJdltVxX0mCFUWoZOywCqFFzNg6loCLHmtwXcKM/CP0Uf2O1bg9AnUcevUVUwlvplGrSZoY9Vodu0ja0+Wg/Stp8DQESlUIQKscDuGHguCDy0hv0xfbiX+smk5co/k8T32A+jSoFSZOUoFy7Z3XqwXyv4acKrAjt4Q8A2bsvQB/NqMMeZrWPS1oUVZYDhbNEnENgNq2PQ8uFoHvGyIWibThFxftpKzUO5cftVoVwtQVtNAdVd46Bw5wauDneA6Q8JIP9B8Z0fdjWEVDWMwfUhWx/wjKFTv6wqYOrDtzwQVj1usi4TqwIkRMBsu+b7KS4/ghNX5tntX9OIFxDi18Ksom0aeI1VYdPgbC2Um65nGtCVQjkzqYqbh3IGQECZLg8llVl2xxCgiYOGr6NcdTfss+qNiGmVveoNEFGrqoCo/5mrsLtGAB8LjSbELMAbp6qYBnvzec5Kc56VbvMmIdUk4JpNJ1GaKw0AZ64tgo5dt9p/LR+BlvXm6KeNWFTILafi1KyP5rc1DlW53R20nckddCkULxIT3A9t8YFCeTfWZ8rUHKdBi3ozDCGVg1JIbVFvhteGIkAdY4gI7IIATZzdgBoR2MWh7ckrINImal2ofxucLVpidxxNwp/x2tfD0aB9e9RbDgVta/TBWDmkyqvf5oHRfngsLj+C7KvpdvvQJDwVwX6JJpVg5aAPJsrbMNHw6ppWsJnJOqb3jdM1RLPtWr45qHrDoX+8tDIHReW/2R1HsF9L+GuirD6fyretPa9m012qFcqN+3CgqUG5mAeIeY6v4GV04jX8XTjVo32oqq6az3nWz5tm0NmcbgEwlAu5uFb2e41+t6uDwp2XiQnuh+g69/r0BFM1hFRfH4MaAiqgjnG4Omhbow/gxrmGNdqUhfCATjhXvMzuGJpGpHr1a+Fo0L6t3gy3/TO2FcqV5jxfKzuAo4Uv2d1ui7ozEBLQyiKAWp9vLZqEUVEWUi2nk9RsPvfNyvMorjhkdwxB2qbw00SY9ctQTYcgm1pjPufc2lQYSKHagdcGhuo9qzRd6LRywf4UGVejw7LVVBuHZdVGDWdB+foYaMKyd1DDlAs1jEENUy7UMAZXTxupDnvznGVzns2mdhhvF5X9iawrs9w2Dppz5wYU7oiv8PWAauTr4/D1gAqoZwy+HlJ9fQxqCKiA+8dB4c4NKNwRQpzl6wEVUMcY1BJSfXkMvh5Qjdw5Dgp3bkDhjhBCfJcaQqqvj8HXA6oRXedORSjcEUIIITXj6wHVyNs+oYLOliWEEEKIR3Ccxu2XCakN3jYO3n4TQgghhBDiKyjcEUIIIYSoCIU7QgghhBAVoXBHCCGEEKIiFO4IIYQQQlSEwh0hhBBCiIpQuCOEEEIIUREKd4QQQgghKkLhjhBCCCFERSjcEUIIIYSoCIU7QgghhBAVoXBHCCGEEKIiHg93ixYtQpMmTRAYGIikpCTs37/fatvKykrMnz8fiYmJCAwMRIcOHbBlyxZZm7lz54LjONlXq1atZG3KysqQmpqKyMhIhISEYNiwYcjLy6uV8RFCCCGEuJNHw92aNWuQlpaGOXPm4ODBg+jQoQNSUlKQn5+v2H7mzJlYsmQJPvzwQxw9ehQTJ07EkCFD8Mcff8jatWnTBpcuXZK+du/eLXt86tSp+O6777B27Vrs2rULFy9exNChQ2ttnIQQQggh7sIxxpindp6UlISuXbti4cKFAABRFJGQkIDJkydj2rRpFu3j4+MxY8YMpKamSsuGDRuGoKAgrFy5EoC+crdhwwYcOnRIcZ9FRUWIjo7G6tWrMXz4cADA8ePH0bp1a+zZswfdu3d3qO/FxcUIDw9HUVERwsLCnBk2IYQQQohTnMkdHqvcVVRU4MCBA0hOTq7qDM8jOTkZe/bsUVynvLwcgYGBsmVBQUEWlbmTJ08iPj4ezZo1wxNPPIGcnBzpsQMHDqCyslK231atWqFRo0ZW92vcd3FxseyLEEIIIcTbeCzcFRYWQhAExMbGypbHxsYiNzdXcZ2UlBQsWLAAJ0+ehCiK2LZtG9avX49Lly5JbZKSkrB8+XJs2bIFH330Ef755x/06tUL169fBwDk5ubC398fERERDu8XANLT0xEeHi59JSQkVHPkhBBCCCG1x+MnVDjj/fffR4sWLdCqVSv4+/tj0qRJGDt2LHi+ahgPPPAAHn74YbRv3x4pKSnYtGkTrl27hi+//LJG+54+fTqKioqkr3PnztV0OIQQQgghLuexcBcVFQWNRmNxlmpeXh7i4uIU14mOjsaGDRtQUlKCs2fP4vjx4wgJCUGzZs2s7iciIgK33XYbsrOzAQBxcXGoqKjAtWvXHN4vAAQEBCAsLEz2RQghhBDibTwW7vz9/dG5c2dkZmZKy0RRRGZmJnr06GFz3cDAQDRo0AA6nQ7r1q3DoEGDrLa9ceMGTp06hfr16wMAOnfuDD8/P9l+s7KykJOTY3e/hBBCCCHeTuvJnaelpWH06NHo0qULunXrhoyMDJSUlGDs2LEAgFGjRqFBgwZIT08HAOzbtw8XLlxAx44dceHCBcydOxeiKOLll1+WtvnSSy9hwIABaNy4MS5evIg5c+ZAo9Hg8ccfBwCEh4fjqaeeQlpaGurVq4ewsDBMnjwZPXr0cPhMWUIIIYQQb+XRcPfoo4+ioKAAs2fPRm5uLjp27IgtW7ZIJ1nk5OTI5tOVlZVh5syZOH36NEJCQtC/f3+sWLFCdnLE+fPn8fjjj+Py5cuIjo7GXXfdhb179yI6Olpq895774HneQwbNgzl5eVISUnB4sWL3TZuQgghhJDa4tHr3Pkyus4dIYQQQtzFJ65zRwghhBBCXI/CHSGEEEKIilC4I4QQQghREQp3hBBCCCEqQuGOEEIIIURFKNwRQgghhKgIhTtCCCGEEBWhcEcIIYQQoiIe/YQKokxkAs6UHMP1yqsI9auLJsGtwXMaT3fLaWoZByGEEOJLKNx5mb+L9mLjxU9RXHlZWhbmF4mH4p9Cm3Df+exbtYyDAiohhBBfQx8/Vk218fFjfxftxeqzb1l9fETjl30iGKlpHBRQCSGEeANncgdV7ryEyARsvPipzTYbzn8Mfy4QWt4PPMeDAw+e0+i/pNu8dJvjeGigkW7L22jAcZxHxvH9xU/ROqyrVwcMawG1uPIyVp99iwKqB6ghpKphDIQQ70eVu2pydeXu9I0j+PT0bBf0zHEcOCkYcpwh+MEQ/gwBsCoI8iYh0rxt1TZuCiU4V5pld99tw3qgbkCs1WDKc5qq8GpnnxrDckf7yHMaaKy058ADYHj7+ERZIDIX7heJl1p97NX/mNVSQQXUEVLVMAZAPQFVLeMgtw5ncgeFu2pydbj78+rP+PLce3bbhflFIoAPhMhEiBAhMsFwW4DIBDCF5aR2hGkjEaAJckmg5DkNNA5UY62HXvnjAPD1+UUoFa5b7X+INgJPNZsPDae12IfpvjmT256ghpCqhjEA6gmoahkHBdRbC4U7N/BU5e6pZvPRLKStw9tljIFBlIVBJoVBQwg0Ps4EiNA/LhiWM5PgKMrWMw+UAgQmIr/sHH4p/NZuv9qF34kwv3pm2xSq+ir1S5D30dA/+eOirC0z3BaYKN02bcsgQmA6h59Dosfpa72Kh/95GMKpRSg1TA+wqACbh1blCjEHHoeu7UKFWGa1X4F8HfSNeRgaXltrYZk3VIgtt6ffh60pDiITqBLsRdQ0Dgqotxaac+eDmgS3RphfpN1/AE2CWzu1XY7jwBnm3bmDyAT8VfSL3XE80miKx3+BRdPwZxIQz9w4itU51v/4Gz0Y/xTiAhvXWliWL6/aNjOsK1gE3ap93qgswtXKPLtj8OMCwHO8bBsMomJbBgZm6CO86C1hmViKzbmfebQPUtBVCJAiE1AiFNtcv6jyMhaf/BeCteGyQFk1PUID06kSsvm0VkKrteqreWXZkYAOAN9eWGJzDBsv/A9NgttAy2nBcbxh2gcvjcUb0Jxg76KWgAp4X0ilcOcleE6Dh+KfsvmO8sH4p7z6Dw7gW+PQ/8PhoeHkvwatw7s6FLS7R97vFeNQ4mgleFTTGRaV4KrQ62A11Wy5eaVYqXKqtNy8siwwAZdunsHR4r12x9GoTkuE+0Wa9Mn2VAVb+1Rqb1xmjXG/AKodfC+Vnaneil6iWHcFbx4dbfVxzqTSyRvCn/FEL9MwyMNYDbV8zHIb1rbFV22L46T7NyqLbf5eA/qgve7cIkQGxFmEYVfPA+Zkyy2rwqZtjCigeh9vDKl0WLaaauNSKIDyD0m4XyQe9LF3Mr4+Dl8/dKOWQ4G1NV2hOhhj1ZqqcL7kJL65+LHd7feNeRhRAfFWqrVVVVmlCrE0FUGq5ppvQ95Hx6Y2VLUpF26iTCyp1eeXWGc8+c14wpeOVdpdp55fHIK0wVanGdgPlLanKmjM21ppz8kCsrESzOHLnAU2K9qh2rp4JjFdujqEsYJtfuUHT3Pn/wqac+cGtRXuAO8r71aXr4+DAqrnqSGkqmEMjobsMU1mo0lIazAwfZXWEBqNYbHqPpNCKINppdh4n1XdlkK1MeiahmzRZF6xIGtvub6IgvIL+O3KD3bH0TqsG0K0EYrTNqxXom1Xha1Xu2kecE3Ipy0oXfnByRPYTKqvdoMreOy/8gMqxJtW++fK322ac+fjeE5T61UId/D1cbQJ747WYV19NqC2Ce+OEY1f9umA6kuH+a1RwxgcnROcGNrOq8chMgFZ1w/YHceIxv/yyDiszQNmhjm2IhOQU3IcX57LsLutlLiRiAlMMJlmUFXFrclJc0pzjB2ZB2za/qbuOop1V+yOwXjmv7V5wACkPnrTPGBTRZWXcabkmNv/F1K4I8QGCqiep4aQ6utjUENABbx/HNbmAZsK94vEltwVdgPqXdEDvfb1cLQSPK7ZXDQLaWsxD9h0qoIjgdKRecNVV1kwnTdse2pDXtlZZF0/aHcc1yuvuuBZcw6FO0JUztcDKqCekOrLY/D1gGrk6+Pw9oDqCGevDlEVet3UQQedvnHEoXAX6lfXDb2Rozl31VSbc+4IIcRb+fpcWiNfHwfNCfY8d8+npRMq3IDCHSGEEE+igOp5dLasylC4I4QQQmrG1wMq4L6QSmfLEkIIIcTr0Zzg2uFUuBNFEbt27cLPP/+Ms2fPorS0FNHR0ejUqROSk5ORkJBQW/0khBBCCPFK3hZSHbq8882bN/H6668jISEB/fv3x+bNm3Ht2jVoNBpkZ2djzpw5aNq0Kfr374+9e+1/VBAhhBBCCKkdDlXubrvtNvTo0QOffPIJ7rvvPvj5+Vm0OXv2LFavXo3HHnsMM2bMwPjx413eWUIIIYQQYptDJ1QcO3YMrVu3dmiDlZWVyMnJQWJiYo07583ohApCCCGEuIszucOhw7KOBjsA8PPzU32wI4QQQgjxVg6FOwD45ZdfMGfOHBw4cABDhw7FTz/9VJv9IoQQQggh1eDw2bLz5s3D3r170aJFC9x///2YMmUKDh60/7EbhBBCCCHEfRyu3Gk0GnTu3BlPPvkkJkyYgODgYJd0YNGiRWjSpAkCAwORlJSE/fv3W21bWVmJ+fPnIzExEYGBgejQoQO2bNkia5Oeno6uXbsiNDQUMTExGDx4MLKysmRt+vTpA47jZF8TJ050yXgIIYQQQjzJ4XBXt25dvP3229J9URRrvPM1a9YgLS0Nc+bMwcGDB9GhQwekpKQgPz9fsf3MmTOxZMkSfPjhhzh69CgmTpyIIUOG4I8//pDa7Nq1C6mpqdi7dy+2bduGyspK9OvXDyUlJbJtjR8/HpcuXZK+3nrL+seHEEIIIYT4Coc/fuz8+fNo2LAhAKC8vBxbtmzBoEGDarTzpKQkdO3aFQsXLgSgD4wJCQmYPHkypk2bZtE+Pj4eM2bMQGpqqrRs2LBhCAoKwsqVKxX3UVBQgJiYGOzatQu9e/cGoK/cdezYERkZGQ73tby8HOXl5dL94uJiJCQk0NmyhBBCCKl1Lj9bFoAU7AAgICCgxsGuoqICBw4cQHJyclVneB7JycnYs2eP4jrl5eUIDAyULQsKCsLu3but7qeoqAgAUK9ePdnyVatWISoqCm3btsX06dNRWlpqs7/p6ekIDw+XvujTOAghhBDijZz+bFnGGL766iv8+OOPyM/Ptzg8u379eoe2U1hYCEEQEBsbK1seGxuL48ePK66TkpKCBQsWoHfv3khMTERmZibWr18PQRAU24uiiClTpuDOO+9E27ZVHwsyYsQING7cGPHx8Th8+DBeeeUVZGVl2ez79OnTkZaWJt03Vu4IIYQQQryJ0+FuypQpWLJkCfr27YvY2FhwHFcb/VL0/vvvY/z48WjVqhU4jkNiYiLGjh2LpUuXKrZPTU3FkSNHLCp7EyZMkG63a9cO9evXx7333otTp05ZvUZfQEAAAgICXDcYQgghhJBa4HS4W7FiBdavX4/+/fvXaMdRUVHQaDTIy8uTLc/Ly0NcXJziOtHR0diwYQPKyspw+fJlxMfHY9q0aWjWrJlF20mTJmHjxo346aefZIeUlSQlJQEAsrOz6QLMhBBCCPFpDs+5MwoPD1cMU87y9/dH586dkZmZKS0TRRGZmZno0aOHzXUDAwPRoEED6HQ6rFu3Tjb/jzGGSZMm4euvv8aOHTvQtGlTu305dOgQAKB+/frVGwwhhBBCiJdwOtzNnTsX8+bNw82bN2u887S0NHzyySf47LPPcOzYMTz77LMoKSnB2LFjAQCjRo3C9OnTpfb79u3D+vXrcfr0afz888+4//77IYoiXn75ZalNamoqVq5cidWrVyM0NBS5ubnIzc2V+nvq1Cm89tprOHDgAM6cOYNvv/0Wo0aNQu/evdG+ffsaj4kQQgghxJOcPiz7yCOP4P/+7/8QExODJk2awM/PT/a4M59a8eijj6KgoACzZ89Gbm4uOnbsiC1btkgnWeTk5IDnq/JnWVkZZs6cidOnTyMkJAT9+/fHihUrEBERIbX56KOPAOgvd2Jq2bJlGDNmDPz9/bF9+3ZkZGSgpKQECQkJGDZsGGbOnOnkM0EIIYQQ4n0cvs6d0SOPPIIff/wRw4cPVzyhYs6cOS7toLdy5nozhBBCCCE14UzucLpy9/3332Pr1q246667qt1BQgghhBBSO5yec5eQkECVKkIIIYQQL+V0uHv33Xfx8ssv48yZM7XQHUIIIYQQUhNOH5Z98sknUVpaisTERNSpU8fihIorV664rHOEEEIIIcQ5Toe7jIyMWugGIYQQQghxBafD3ejRo2ujH4QQQgghxAWcnnO3adMmbN261WL5Dz/8gM2bN7ukU4QQQgghpHqcDnfTpk2DIAgWy0VRxLRp01zSKUIIIYQQUj1Oh7uTJ0/i9ttvt1jeqlUrZGdnu6RThBBCCCGkepwOd+Hh4Th9+rTF8uzsbAQHB7ukU4QQQgghpHqcDneDBg3ClClTcOrUKWlZdnY2XnzxRQwcONClnbtVCUzEn1ezsSPvIP68mg2BiZ7uEiGEEEJ8hNNny7711lu4//770apVKzRs2BAAcP78efTq1QvvvPOOyzt4q/m54DAWZ69HYXmRtCwqIBzPNR+KXtHtPdgz5wlMxJFrp3G5ohiR/mFoG9EMGs7p9xOEEEIIcQLHGGPOrsQYw7Zt2/Dnn38iKCgI7du3R+/evWujf17LmQ/wddTPBYcx/+9lVh+f3WaszwQ8tYRUCqiEEEK8gTO5w+FwN2rUKAwaNAgpKSkICQlxSUd9mavDncBEPLl3viwMmYsOiMCK7rO8PlyoJaRSQPUuahkHIYRUhzO5w+HDss2bN8ebb76JJ598En369MHAgQMxcOBANGjQoMYdJsCRa6dtBjsAKCi/hsd/nYNATQA0HA8Nx4M3+67hePAw3taA5zhoOI2hjeltpfZmyxVuW26bN2yTA89pwAHIOPGlzXF8ePIrNK4TC3/eDxqOh5bXSNvRStvjwXGcC59h51gLqIXlRZj/9zIKqG6mlnFQQCWEuIPTh2XPnz+Pb7/9Ft988w127dqFNm3aYNCgQRg4cCA6duxYS930Pq6u3O3IO4j0Yytc0DP14KEPfqaBTxYA+ar7Wk4D3vDdMjBqTEJo1WNaTqENrwEHDv93dhtKhDKrfQv3C8YrrZ6AH6/Vr6uwTeN9076Ytqnt8KqmCqpaxkEB1XuoZRzk1lErh2WVXL9+HZs3b8Y333yDzZs3IzQ0FAMGDMCzzz6LNm3aVHezPsHV4e7Pq9l46c9Fdts932IYmoU0gMhECEyUvgtMhAiT28zObRjvCxAYM7stQDR812/X5La0HctlAhNxtfI6Lt4stDsOf84PHKf/A6tjlhfFvhUYq6D6AKscADU2wq2WV2gvfeexLe833BQqrO4/RBuE0U0egB+vManSasCDM6vc2qgAO1D1le6j6rajwVYt0xUooHoXtYyDAuqtxW3hzpQgCNi5cye+/fZbtGvXDk8//bQrNuu1aM6dMkdD6jsdUtGhbnMA+hN0RDAIoiCFPZ0hOBoDpE6sum98TGojmt03bSOabYcJFts039f50gL8XfyP3THEBEQgSBMAncm6AhOgE/XbFE3GQuSMAdJecKwUdSiouGZ3e61DG6Ouf6iNkCmfRqDfv3yKQvWnLVRt23TagulUhX/9uQhXKq5b7X90QAQ+T5oJLa9x3ZPsYmoKqGoZBwXUW4tHwt2ths6WVaaGkFqdgGqPsbJpHmBFk3BZkwAr2w4TcOrGefxSeMRuv1qGNkJUQLghnBqrtqLZbZOqLxysDBsqycQ51qum1ue7OlNVtTqnVjHAVu2HA4/VZ3+wOVUhTBuMqS0fgR+vlVduoVTJ1Ydf8zHIQ3fVbVdNYVDD3ydAHf8rAPUEVMA9IbVWw12nTp0Uf9E4jkNgYCCaN2+OMWPGoG/fvs712sfURrgDlH/YowMi8GzzIT7zw+7rf3jU8A+gNgKqs6SKrCz0mR3yN4ZIhUP/AhNxojgHi09tsLuvRxL6Ij4oqmp7hqkGAhMggBmmHOhDa9VtK+HU4QArSOOzNi6BiagQKlHOKmvlOb5VcFKl17mqqnnbUl0Zsksu2N1f93q3IyawnkPbNQ+vilMSLPprEmitBXVpGoO8ogwAT+//NworfPfvE+D7/ydMuSuk1mq4mz59Oj766CO0a9cO3bp1AwD89ttvOHz4MMaMGYOjR48iMzMT69evx6BBg6o/Ci9XW+EOUEeZ2tdDqq//4VFDQAXUMQ5Hg/bcNuPQOqyxwhxa68FRtGgrD6LOzbm1sj8wXHBwqkJ8YBRC/IKqFY7pk3hcK8IvBHU0gajJ3F35yWeW84GtnZimdBKZdNIbr5+qMOPwJ7haaX2qQlRAOJZ1exX+hkqwt3Ln/4paDXfjx49Ho0aNMGvWLNny119/HWfPnsUnn3yCOXPm4Pvvv8fvv//ufO99RG2GO7Xw9ZBKAdU7+Po4bqWAWtNKsOKJYnYCrLXgqFSxPX3jIlbnbLfbj36xXREdWNepiq1ptVgejp3pd1V702UMt/bsKQ6cWVXTlXNmzaYiKM4H5gxTCXjZbY5x+L8c21dWcOXvdq2Gu/DwcBw4cADNm8t/gbOzs9G5c2cUFRXh+PHj6Nq1K65ft57KfR2Fu1sDBVTv4OvjoIDqHXx1HKJJxfbPq9mYceQTu+s832IYmobEw/qc3aoTwATTE83MTg4zbStb12ybpierybdredJaqa7MZiBSG1dNf6mVixgbBQYG4tdff7UId7/++isCAwMBAKIoSrcJ8WUajq+1OWnu0Cu6PXpGtfXpgAr4/jh6RbfH7DZjfTagajgezzUfajOgPtt8iNe/Hr46Dp7jwXOAFhp0jmyFqIBwuwG1f3xPrxuHkaOV4Pltn8LtYU1sVjXtV24tL/XlyHxfR6rHF0oLcMSB6QqXK4pd8bQ5xelwN3nyZEycOBEHDhxA165dAejn3P3vf//Dq6++CgDYunXrLXVBY0K8ma8HVCNfHwcFVO/g6+Pw1YBqqm1EM4cCarfI2716HI6G1Eh/9x/dq9alUFatWoWFCxciKysLANCyZUtMnjwZI0aMAADcvHlTOntWreiwLCHkVuTrUxWMfH0cNFXB89x9mJ+uc+cGFO4IIYR4EgVUz/Pps2UZYx79EHdvROGOEEIIqRlfD6iA+0Kqy8Pd7bffjtmzZ2Po0KHw9/e32u7kyZNYsGABGjdujGnTpjnfcx9C4Y4QQgghgI9+QkVmZiZeeeUVnD59Gvfddx+6dOmC+Ph4BAYG4urVqzh69Ch2796Nv//+G5MmTcKrr76K8PBwlw3IG1G4I4QQQoi71Nqcu927d2PNmjX4+eefcfbsWdy8eRNRUVHo1KkTUlJS8MQTT6Bu3bo1HoAvoHBHCCGEEHehEyrcgMIdIYQQQtzFmdzh8VmLixYtQpMmTRAYGIikpCTs37/fatvKykrMnz8fiYmJCAwMRIcOHbBlyxant1lWVobU1FRERkYiJCQEw4YNQ15ensvHRgghhBDibh4Nd2vWrEFaWhrmzJmDgwcPokOHDkhJSUF+fr5i+5kzZ2LJkiX48MMPcfToUUycOBFDhgzBH3/84dQ2p06diu+++w5r167Frl27cPHiRQwdOrTWx0sIIYQQUts8elg2KSkJXbt2xcKFCwHoP7YsISEBkydPVjzbNj4+HjNmzEBqaqq0bNiwYQgKCsLKlSsd2mZRURGio6OxevVqDB8+HABw/PhxtG7dGnv27EH37t0d6jsdliWEEEKIu/jEYdmKigocOHAAycnJVZ3heSQnJ2PPnj2K65SXl1t86kVQUBB2797t8DYPHDiAyspKWZtWrVqhUaNGVvdr3HdxcbHsixBCCCHE23gs3BUWFkIQBMTGxsqWx8bGIjc3V3GdlJQULFiwACdPnoQoiti2bRvWr1+PS5cuObzN3Nxc+Pv7IyIiwuH9AkB6ejrCw8Olr4SEBGeHTAghhBBS6xwKd+YVK1tften9999HixYt0KpVK/j7+2PSpEkYO3YseL72M+r06dNRVFQkfZ07d67W90kIIYQQ4iytI40iIiIc/vgxQRAcahcVFQWNRmNxlmpeXh7i4uIU14mOjsaGDRtQVlaGy5cvIz4+HtOmTUOzZs0c3mZcXBwqKipw7do1WfXO1n4BICAgAAEBAQ6NjRBCCCHEUxwqef3444/YsWMHduzYgaVLlyImJgYvv/wyvv76a3z99dd4+eWXERsbi6VLlzq8Y39/f3Tu3BmZmZnSMlEUkZmZiR49ethcNzAwEA0aNIBOp8O6deswaNAgh7fZuXNn+Pn5ydpkZWUhJyfH7n4JIYQQQrwec9I999zDVq9ebbF81apV7O6773ZqW1988QULCAhgy5cvZ0ePHmUTJkxgERERLDc3lzHG2MiRI9m0adOk9nv37mXr1q1jp06dYj/99BO75557WNOmTdnVq1cd3iZjjE2cOJE1atSI7dixg/3++++sR48erEePHk71vaioiAFgRUVFTq1HCCGEEOIsZ3KHQ4dlTe3Zswcff/yxxfIuXbrg6aefdmpbjz76KAoKCjB79mzk5uaiY8eO2LJli3RCRE5Ojmw+XVlZGWbOnInTp08jJCQE/fv3x4oVK2SHV+1tEwDee+898DyPYcOGoby8HCkpKVi8eLGTzwQhhBBCiPdx+jp3LVu2xKBBg/DWW2/Jlr/88sv45ptvkJWV5dIOeiu6zh0hhBBC3MWZ3OF05e69997DsGHDsHnzZiQlJQEA9u/fj5MnT2LdunXV6zEhhBBCCHEJp68h0r9/f5w8eRIDBw7ElStXcOXKFQwYMAAnTpxA//79a6OPhBBCCCHEQR79+DFfRodlCSGEEOIutXpY1qi0tBQ5OTmoqKiQLW/fvn11N0kIIYQQQmrI6XBXUFCAsWPHYvPmzYqPO3oRY0IIIYQQ4npOz7mbMmUKrl27hn379iEoKAhbtmzBZ599hhYtWuDbb7+tjT4SQgghhBAHOV2527FjB7755ht06dIFPM+jcePGuO+++xAWFob09HQ8+OCDtdFPQgghhBDiAKcrdyUlJYiJiQEA1K1bFwUFBQCAdu3a4eDBg67tHSGEEEIIcYrT4a5ly5bShYo7dOiAJUuW4MKFC/j4449Rv359l3fwViSIIvbmn8W3Z//G3vyzEETR010ihBBCiI9w+rDsCy+8gEuXLgEA5syZg/vvvx+rVq2Cv78/li9f7ur+3XK2nj+O+Qd/QO7N69KyuKBQzL6jH1IatvJgz5wniCJ+KzyH/Js3EBMUgq5RCdDwTr+f8Cg1jIEQQsitpcbXuSstLcXx48fRqFEjREVFuapfXq82rnO39fxxpP6yDuYvCGf4vujOYT4T8NQQUtUwBoACKiGEqIEzuYMuYlxNrg53giii98aFsiBhLiYwBF/fNxb+Gi38OB5aXgMNx8OP58FxnNX13E0NIVUNYwDUE1ABCqmEkFuby8NdWlqawztfsGCBw219mavD3d78s3jix5XVXp/nOGg5Hlqeh5bTGL7z0PC8RRDUGNs52LZqnaq2Vd810n0Nx0PDcfjP4R0oqiiz2tfIgDpYdOcw+Bv2ozHsW8NxUt94jofWcN/4uJbjpXHyHFdrgdZe0OYAxAWFYddDqV4dLtQSUAH1hFQKqISQ6nL5J1T88ccfsvsHDx6ETqdDy5YtAQAnTpyARqNB586dq9llkn/zRo3WFxlDBRNQIQoAKl3TqVpyubwUj+1YUePtWIbBqoApC4uc4XHeJCxK63FSsDW2Lyq/abOCygBculmMl/d/hyah9RRDrmkgVgzJsoCsvEy/jkZ2m3cw0AqiiPkHf7AIdsb+cwBeO7gNyfG3eX24sBZS825eR+ov63wmpFJA9S5qGQchShwKdz/++KN0e8GCBQgNDcVnn32GunXrAgCuXr2KsWPHolevXrXTy1tATFCIQ+1W9X0S3aIboVIUIDAROlGU3dbJvguKywQmotJ0uckywXx98+3K1hegExl0TIAgiqhkIi6WFOHotTy744gMqINAjZ9+f0yEyBh0hv0bv3SiqBhOjATGIEiB1v02nD3i9n1yAPwMFU9b4bBc0DkUUEftWo24oNCqSinPmwRgzqJiavq4tNykamsRtmWB2sHKrMn2AGDuga0+H1IpoHoXtYyDAiqxxuk5dw0aNMAPP/yANm3ayJYfOXIE/fr1w8WLF13aQW9VW3Pu8m5eV/xH5iuHAh09vLyq75PoHtPYbjuRMX3YE0VDmJOHP5Ex6KRlDIIhiOrXqWqvU9wGM2xD/nh2cSE+O/mb3b4lx9+GqMBgxZAryEK1IWRbCcSKbQ2Blzgm1C8AgRqtclXUOPXApAKq4Tizthpoec5ymoKhrZ+hrX7qggYas7ZKUxaMbTkOSP1lHS6Xl1rtf2xQCDamPA1/XmtSaeYdrtS6g1oO86tpHBRQby0uPyxrvnHjhYtNFRQU4Pp165UCYpuG5zH7jn5I/WUdOED2h8f4R2fWHfd5/Q9916gExAWF2g2pXaMSHNoez3HgOQ38eI1L+2mLIIrYev643TEsvnNYrb4exmqmeRCsCoSmoVEeDv+6egn/+XOH3X2MbN4FCSER8pBrFpSVqqoWj0vh2BCamWF7ory96eOCaLY9swDuTMC9XlmO65XlNX3KPSbv5g103ZCh+Jj5tAGHphlYVF4deNyscqvlePC8vj0HDp+f/M1qBRUApv/2Pa5XlMNfo1Gs3DpS6bVbCTYsr+6cW7VMV6BKsPfxtpDqdOVu1KhR+Pnnn/Huu++iW7duAIB9+/bhX//6F3r16oXPPvusVjrqbWrjUiiA8g97/aAwzLrjPp/5YTf+4QGUQ6ov/OHx9TGopRK8J+8Mnty5ym67/3R9CG3qxilWQKsCMkOlISjrRFG6bat6alpxNW9bqTSdQWH9oooyXC4vccOzdWuxDIPGkMvJw6JJOL6pq8SZG1ftbvvO2KaoXyfU4eqs0lxbWyefKc2rNV+mMduPEZ3w5X3cFVJr9VIopaWleOmll7B06VJUVuon7mu1Wjz11FN4++23ERwcXP2e+5DaCneA970DqA61hFRfHoOvB1RAHSHV0akKn939OLpGN1Kce+rM9APLSqvy9APz9rYqtyeLCrA77x+7Y2gZHmOYqlD9yq1pNZimJuiZzrUFgJuC/ZPmEkMjEREQJKvcakzmuVqr5CpVbpUrvfYqs9YfBxyYqhAYgg39xiFAo3VZ5bY2uDOkuuU6dyUlJTh16hQAIDEx8ZYJdUa1Ge7UQg0h1dfH4OsBFfD9kHorBVRH59I6ijEmnycrhVr5YXydyePKIVff/siVXLzz14929zsi8Q40CA5XPllNoTorWKnkOnqym+n6AgVah5iGRaWrJShVbh25WoLD0xh4HhyAFSd/xw1dhWIfXf27TRcxdgMKd8RX+HpABXw/pFJA9Q6+MA7jSWTGqxOYX7Hg98JzeGnft3a3k9b2bjQPj3K4cmu1WmzRXoROZLbn6JpXZs22UVxRfktNVXDVmx6Xn1AxdOhQLF++HGFhYRg6dKjNtuvXr3e8p4SQWqfheZdWUzwhpWErJMff5rMhNaVhKyy6c5jCvBzfCKhqOeHLF8YhP4nMz+Lx+DpheOfwj3YD6sTWPb329XC0EryyzxPoGt3IJHAqB0p5JdcYYuVXRrDchsJUANFW++pPV6jpdWyrw6FwFx4eLh3fDg8Pr9UOEUKIEl8PqRRQvYOvj8MXAqo9jl5VoVt0I/2hUPAIcN8FExy2N/+sQ+HO0evYuhIdlq0mOixLCLkVqeEwP+D746CpCp7n7sP8tTrn7ubNm2CMoU6dOgCAs2fP4uuvv8btt9+Ofv36Vb/XPobCHSGEEE+igOp57gyptRru+vXrh6FDh2LixIm4du0aWrZsCX9/fxQWFmLBggV49tlna9R5X0HhjhBCCKkZXw+ogPtCaq2Gu6ioKOzatQtt2rTB//73P3z44Yf4448/sG7dOsyePRvHjh2rUed9BYU7QgghhADuCam1+vFjpaWlCA0NBQD88MMPGDp0KHieR/fu3XH27Nnq9ZgQQgghxEd52wlfTsfK5s2bY8OGDTh37hy2bt0qzbPLz8+nChYhhBBCiIc5He5mz56Nl156CU2aNEFSUhJ69OgBQF/F69Spk8s7SAghhBBCHFetS6Hk5ubi0qVL6NChA3jDMeX9+/cjLCwMrVr5xhkuNUVz7gghhBDiLrU65w4A4uLiEBcXJ1vWrVu36myKEEIIIYS4kNPhrqSkBP/+97+RmZmJ/Px8iKIoe/z06dMu6xwhhBBCCHGO03Punn76aXz66afo1asXJk2ahBdeeEH25axFixahSZMmCAwMRFJSEvbv32+zfUZGBlq2bImgoCAkJCRg6tSpKCsrkx5v0qQJOI6z+EpNTZXa9OnTx+LxiRMnOt13QgghhBBv43TlbvPmzfj+++9x55131njna9asQVpaGj7++GMkJSUhIyMDKSkpyMrKQkxMjEX71atXY9q0aVi6dCl69uyJEydOYMyYMeA4DgsWLAAA/PbbbxAEQVrnyJEjuO+++/Dwww/LtjV+/HjMnz9fum/8xA1CCCGEEF/mdLirW7cu6tWr55KdL1iwAOPHj8fYsWMBAB9//DG+//57LF26FNOmTbNo/+uvv+LOO+/EiBEjAOirdI8//jj27dsntYmOjpat8+9//xuJiYm4++67Zcvr1KljMW+QEEIIIcTXOX1Y9rXXXsPs2bNRWlpaox1XVFTgwIEDSE5OruoMzyM5ORl79uxRXKdnz544cOCAdOj29OnT2LRpE/r37291HytXrsS4cePAcZzssVWrViEqKgpt27bF9OnT7Y6nvLwcxcXFsi9CCCGEEG/jdOXu3XffxalTpxAbG4smTZrAz89P9vjBgwcd2k5hYSEEQUBsbKxseWxsLI4fP664zogRI1BYWIi77roLjDHodDpMnDgRr776qmL7DRs24Nq1axgzZozFdho3boz4+HgcPnwYr7zyCrKysrB+/Xqr/U1PT8e8efMcGhshhBBCiKc4He4GDx5cC91wzM6dO/Hmm29i8eLFSEpKQnZ2Nl544QW89tprmDVrlkX7Tz/9FA888ADi4+NlyydMmCDdbteuHerXr497770Xp06dQmJiouK+p0+fjrS0NOl+cXExEhISXDQyQgghhBDXcDrczZkzxyU7joqKgkajQV5enmx5Xl6e1blws2bNwsiRI/H0008D0AezkpISTJgwATNmzJAuqAwAZ8+exfbt221W44ySkpIAANnZ2VbDXUBAAAICAhwaGyGEEEKIpzg95w4Arl27hv/973+YPn06rly5AkB/OPbChQsOb8Pf3x+dO3dGZmamtEwURWRmZkofaWautLRUFuAAQKPRAADMP2hj2bJliImJwYMPPmi3L4cOHQIA1K9f3+H+E0IIIYR4I6crd4cPH0ZycjLCw8Nx5swZjB8/HvXq1cP69euRk5ODzz//3OFtpaWlYfTo0ejSpQu6deuGjIwMlJSUSGfPjho1Cg0aNEB6ejoAYMCAAViwYAE6deokHZadNWsWBgwYIIU8QB8Sly1bhtGjR0OrlQ/x1KlTWL16Nfr374/IyEgcPnwYU6dORe/evdG+fXtnnw5CCCGEEK/idLhLS0vDmDFj8NZbbyE0NFRa3r9/f+kSJY569NFHUVBQgNmzZyM3NxcdO3bEli1bpJMscnJyZJW6mTNnguM4zJw5ExcuXEB0dDQGDBiAN954Q7bd7du3IycnB+PGjbPYp7+/P7Zv3y4FyYSEBAwbNgwzZ850qu+1SRBF/HbxAvJLbiAmOARd4xtAw1eryEoIIYSQWwzHzI9n2hEeHo6DBw8iMTERoaGh+PPPP9GsWTOcPXsWLVu2lH1ahJo58wG+ztiSfRLzf9qB3Bs3pGVxISGY3fse3N+8hcv24w4UUgkhhBDXcCZ3OF25CwgIULzG24kTJywuIEycsyX7JFI3fQvztJ134wZSN32LRf0H+kzAU0tIpYBKCCHE1zgd7gYOHIj58+fjyy+/BABwHIecnBy88sorGDZsmMs7eKsQRBHzf9phEewAgAHgALz204+4r1mi14cLtYRUCqiEEEJ8kdOHZYuKijB8+HD8/vvvuH79OuLj45Gbm4sePXpg06ZNCA4Orq2+ehVXH5bde/4cRqz/0m677g0SEBsSAi3Pw4/noTH5rlX40nA8/DQ8tLwGWo6DVqPRL1NY16HtGR7X8hpoeQ5aXgMNx0mfACKIInot/0QWiExxAOJCQvHTmKe9OmBYC6jGzzmhgOp+agipahgDIcQznMkdToc7o927d+Pw4cO4ceMG7rjjDtnHiN0KXB3uvs06hilbN7mgZ55hDJIcgDJBZ7f9bfUiUTcoyCQsyoOlnyE0ajUa/TKOh1bDQ8sph057QVTDc/ptSt8N7QzbNd0Hx4ABX6xEXgkFVG+hhpCqhjEAFFAJ8RS3hLtbnacqd6Pad0TDsHDoRBECE1EpiNCJInRMhE4wLBNFCKJ+eaUoQBDly5z9ktZn+vtEL8zfH4F+ftBwHDSGcKjhOWg53nCfk0Ikz3FSANbwnOy7lufBO7GebLlJe9P1OACv/7QT18qtn+AUGVQHnwwYjACtVl61NQvSfhpe2q/5ZzS7gxpCqhrGAKgnoAIUUonvqbVwJ4oili9fjvXr1+PMmTPgOA5NmzbF8OHDMXLkSI/84fcUV4c74+HMvBs3FOfdeUu1iDEGgTHoRAGVCmHy94sXkPbDZrvbmZLUE83q1oVO1G/LNEAaA6vxtmVgNQ+qgrSdqu8K4dTw3SKwCoZwLFJ4tUfDcbJD8lXfLSumilVZ0+BoWonVGKYNmB7uN4TZT//4HdcrKqz2KSIwEPP7JMNfwyuHbMNtnuehVQjCxqDMczy0UvDmDWPVP16Tv200VcH7qCWkUkC9tdRKuGOMYcCAAdi0aRM6dOiAVq1agTGGY8eO4a+//sLAgQOxYcMGV/TfJ9TGpVCMfzwByP6A+tIfT18JqdYwxvDruRyM3PCV3bb/vrcf2sbEQieKEBmTQqPAmD58MhGiyKBjZsvNbkvrMhGCyGTfHd621J5BZCIuXb+OE1cu2x1DeEAAtLyGQq4dStVR84qttcrtzcpKh16LPo2bID4sXDHk+jkToM2mHOi/ayyX2ZjSYB5m1RJQAfWEVAqo3sUd46iVcLds2TK88MIL+Oabb9C3b1/ZYzt27MDgwYOxcOFCjBo1qvo99yHuvM5d/ZBQzOrd12d+YX09pPp6QAUcP8y/eugj6N4wwWK5sUJrWfUUIIhM+XC/aUAUFJbZqKaaTyMwtjt19Qr2nD9ndxzNIuoiIjBQ6rNpCK4KzKah2mSZ8TbNUJEYg6kxLIIxFNuonhq1ioxC3aA6JiHYpBJqMq3ANCybVk154+OmYdlmVdWw3DR4c2bTHEwqtxxjGPfd1ygsLVXsPwcgNiQEO0aOQ4BW67VHoyigehd3jaNWwl2/fv1wzz33YNq0aYqPv/nmm9i1axe2bt3qfI99UG2FO0Ad72R8PaRSQPUONQ2pzjANtIKhWiqaVEN1ojwo6hiDaPgumFReZVVYUcTRwny8t/dXu/t/5Pa2iA8NUwy59sKz6dQFi6kHNqYuVFKF1ibTkKtUTdUY7tuasyp9mSyzrLzaOOmLl1/NgOc4zP5xO67a+MCAqDp18NmgYQjQah2ar2tc7k5qCqjuGkethLu4uDhs2bIFHTt2VHz8jz/+wAMPPIDc3FynO+yLajPcqYWvh1QKqJ6nhpDq7WMwDZHWTtI6cOkiXtlu/4378926I7FepCwgm09JUJqG4Mj0A9E8ONtczxi85YH8RkUlrleUu+FZ9U02T/pSCoUcZ5jLarqOaRVWuXLLAfj+5Anc1FVa7Uuovz9Su3aHn0ajGHKVphk4Fpot5wlXN9i6e7pCrYQ7f39/nD17FvXr11d8/OLFi2jatCnKy2+NXxwKd7cGCqiep4aQ6utj8PaA6ihHK8GfDBiMjrH17VRHTacoMMVqq2NXKRCgYww6QYDA5NtTugJC3o0bOH3tqt0xBPv5QcPz8nDM9GGYyBmDq9YsNNq7JmxJRSWOFubb3b4rjiwAtfTxY4IgQKu13lyj0UCns399M0J8iYbnXfJL6Sn3N2+B+5ol+nRAvb95CyzqP1BhTovvhFRfH4OG5zG79z1I3fQtOCgH1Fm9+3r9z1XX+AaICwmxG1L7NG7qtWNxPKAOsTufVnZyl40TwJSqozU5cexIfj6+P5lldwxd6scjLjTUymW+LOfs2rqCgjEwK73uImOoEARUCIIjL4HT8q1cM7U2ORzuGGMYM2YMAgICFB+/VSp2hPgaXw+ogHpCqi+PwdcDKqCOkOpoQO0a30BxfY7jDGdk81D+b1779p4/51C4S+txl8v/dilNQzAGR6UKrWU1tqpCe6ywAIt+22d3nzHBIS4dgyMcPiw7duxYhza4bNmyGnXIV9BhWULIrcjXpyoAvj9dgQ7zewd3j4M+ocINKNwRQojv8vWQSgHVO7hzHBTu3IDCHSGEEE+igOod3DUOCnduQOGOEEIIqRlfD6hG3vYJFQ6fUEEIIYQQ4kpqOOEL8L5x+F48JoQQQgghVlG4I4QQQghREQp3hBBCCCEqQuGOEEIIIURFKNwRQgghhKgIhTtCCCGEEBWhcEcIIYQQoiIU7gghhBBCVITCHSGEEEKIilC4I4QQQghREfr4MS8kiCIOnLmAguISRIcFo3MT3/ysPUIIIYS4H4U7L7PtyEmkb9yJvKIb0rLY8BBMf6gP7mvbwoM9cx6FVEIIIcT9KNx5kW1HTmLqqo1gZsvzi25g6qqNeO+Jh3wm4KklpKohoKphDIQQQhxH4c5LCKKI9I07LYIdADAAHIB/b9yJe25P9Pp/zGoJqWoIqGoYgxGFVEIIcQzHGFPKE8SO4uJihIeHo6ioCGFhYTXe3v7T5zD2k6/stvPjefj7aaHhOfhpNNDwHLS8Rrqv1fDQ8Dy0PA+NhoOf4TGt4TGt8TGer7pvso7FMpN1LJaZrOdnuM1zHP71xSZcKblpdQwxYcH4atITCPDTyrbHcVyNn0dXsRZQjT30hYCqhjEYqSWkUkAlhFSXM7nD45W7RYsW4e2330Zubi46dOiADz/8EN26dbPaPiMjAx999BFycnIQFRWF4cOHIz09HYGBgQCAuXPnYt68ebJ1WrZsiePHj0v3y8rK8OKLL+KLL75AeXk5UlJSsHjxYsTGxtbOIB1QUFziULtKUURleUUt96Z25ReXoPeb/7VYrg+qlgHSNLwag6r+u2nw1FQr8EptTPbLcxze3fyT1SoqAMzfkImokDrw02qgMayr4TloOP0+NDyvv20YE89zUh94w7LaDLNUCfY+FFAJIe7i0XC3Zs0apKWl4eOPP0ZSUhIyMjKQkpKCrKwsxMTEWLRfvXo1pk2bhqVLl6Jnz544ceIExowZA47jsGDBAqldmzZtsH37dum+Visf5tSpU/H9999j7dq1CA8Px6RJkzB06FD88ssvtTdYO6LDgh1q9/ZjD6BNgzjoRAGCyKATBOgM3wWRQScK0AkidKIInSBCMHzXifqvqvvGdUUIgohKk8cEUUSlcV3D4zrTZcY2CutcK72JfAeDqjlBZBBEAYBQrfXd6UrJTTy55MsabYPjUBX4OEOw1ZjcNgZG2XelEGn2GM+jqPSmLESYYwByi25g5lc/oHFUXZtVXVll10oF17ien8ljGp6Hn0J7Z0KtWkIqBVTvo4aQqoYxkNrh0cOySUlJ6Nq1KxYuXAgAEEURCQkJmDx5MqZNm2bRftKkSTh27BgyMzOlZS+++CL27duH3bt3A9BX7jZs2IBDhw4p7rOoqAjR0dFYvXo1hg8fDgA4fvw4WrdujT179qB79+4O9d3Vh2UFUcR9b32K/KIbiv/IOOj/iP7w8lNe/cvr6OHlT58ahk6N46tCp0kA1QkmwdQknBqDpCx4KoVOwTzImm/PLBAb7xsC88WrxTh+qcDuGOoFByHATwtBFA3B1PS7aAjboiueVlXRmFQxFQOkSVgsq9ThTOFVu9vs2bwRYsNDLUOw6XdDCDZWZ00fs6iucpzUJ9th21bo1i/jAAxfuMrqmx5f+d2mw/zeRQ1jACigOsMnDstWVFTgwIEDmD59urSM53kkJydjz549iuv07NkTK1euxP79+9GtWzecPn0amzZtwsiRI2XtTp48ifj4eAQGBqJHjx5IT09Ho0aNAAAHDhxAZWUlkpOTpfatWrVCo0aNbIa78vJylJeXS/eLi4urPXYlGp7H9If6YOqqjeAA2R9Q4x/PaQ/18fof+s5NGiA2PMRuSO3arCE0PI8Ad3fQAY4G1HdHPIhuzRLsthMNIU9kTAqYxmWC2W1jOBQZkwKpwOSB0TxE6kQG0SRMikzEqbwrWLXnkN2+9W2diMiQIIuQq9+3WfAVDI8Zl5sGZilA6x+rNNxXYqzQVriwQvtrdo7LtuVuxirqna99hCB/P8WQawzAVqur1Z26YJimoDTHtuo+B57j8No3O2xOVXjzux/RtVlD+Gu1JtVkzqvm0gLqqKKqYQyAegIq4H0h1WPhrrCwEIIgWMxzi42Nlc2PMzVixAgUFhbirrvuAmMMOp0OEydOxKuvviq1SUpKwvLly9GyZUtcunQJ8+bNQ69evXDkyBGEhoYiNzcX/v7+iIiIsNhvbm6u1f6mp6dbzOVztfvatsB7Tzyk+MM+zUd+2NUQUh0NqJ2bNHBoezzPwZ/XuLSP9giiiO1Hs+2O4f0nH6rV18IYQJUO6VtMG1Co1h69kI/3f7A/XeKRbu0QXzdMH6CFqkBsDNKKIdiwTArThgqyvTAtGPchC95V343bdrZye72sAtfLfHc+bX5xCe587WOL5eZVUtPv+iqp9UqoaUVVqrxamcNqXnk1rdJqDdsDx2HF7oM2Q+qc9duhE0T4a+Wh188k8JpPQdDyGmhlodpwn9eA510bbmmqgvfxxpDq8RMqnLFz5068+eabWLx4MZKSkpCdnY0XXngBr732GmbNmgUAeOCBB6T27du3R1JSEho3bowvv/wSTz31VLX3PX36dKSlpUn3i4uLkZBgv2rjrPvatsA9tyd61TsAZ/l6SFVDQPWWMRj/UftX8y9Nj+aN8MW+P+2G1JmD7vHa12Nfdg7GfbrObrvXht2H1vExFtMQrAVfxfmxxmkJNqY1VE1dME5LUJqjK5+6UHyzzOYZ8LaIjEEUBFR6/1RaAEDRzTK89MUml22P46APf7KrDHCyQOjMvFZH59PO+zoTjaMiajT9wBicHZl+4MyJY2oJqID3hlSPhbuoqChoNBrk5eXJlufl5SEuLk5xnVmzZmHkyJF4+umnAQDt2rVDSUkJJkyYgBkzZoBX+CGIiIjAbbfdhuzsbABAXFwcKioqcO3aNVn1ztZ+ASAgIAABAe45iKjheYcO93kzXw+pvh5QAXWMwVtCak10adbQoUrwoDtu99pxODpV4ZNxQ9CpcQOzSqlJJVVgEJl8OoFUPTW5bVEpVZjPan5bmvpgOGFMZMb5vMbbDP8UXMG+U+fsjqNpVF2EBQVahFx7UxeUZrAzBlQKAioF96bbdb8fcev+rOE5rqq6agiQIhhu2KhSGwPqkIwVCA8OtFq5tRValSq3vDTlwMbcWSfm5oIxm9MVPBlSPRbu/P390blzZ2RmZmLw4MEA9CdUZGZmYtKkSYrrlJaWWgQ4jUZ/uMvaeSE3btzAqVOnpHl5nTt3hp+fHzIzMzFs2DAAQFZWFnJyctCjRw9XDI0Y+HpI9fWACqhnDL4cUtUQUB2dqpCU2Mirx7H/9DmHwt3sIfdW62+XKCrPS1W6soDynFV5ZVapgvtPwRV8uf8vu33pdVsT1A0Okub6ykKw6VQFhRBsbS6w7LbZ9AWrzwljEAVmdQ6uLacKrgD2z23zWsaQeuDMBbf/L/ToYdm0tDSMHj0aXbp0Qbdu3ZCRkYGSkhKMHTsWADBq1Cg0aNAA6enpAIABAwZgwYIF6NSpk3RYdtasWRgwYIAU8l566SUMGDAAjRs3xsWLFzFnzhxoNBo8/vjjAIDw8HA89dRTSEtLQ7169RAWFobJkyejR48eDp8pS24dvh5QAXWMwddDKgVU7+Dq+bTm9PNrtfAHAPhVv6M2CKKIXVn/2B3DotGD3PZ6MMYUQmRV5VYKkYL+sT9zLmLmum12tzs5uQeaxUbqtyvYruJaq9zam3OrryQzqa3dE90MfREZw/WyclwrLbM7DkevY+tKHg13jz76KAoKCjB79mzk5uaiY8eO2LJli3SSRU5OjqxSN3PmTHAch5kzZ+LChQuIjo7GgAED8MYbb0htzp8/j8cffxyXL19GdHQ07rrrLuzduxfR0dFSm/feew88z2PYsGGyixgTQryXr4dUCqiep4aQ6o1j4DhOOpzpiMZREfhw+x67AXV8325e/Vo4Ol3B0evYuhJ9/Fg1ufo6d4QQ4gu87ZIP1aF0dmOcD4VUwPfHYDwRAVAOqL5wtqy7r0/rTO6gcFdNFO4IIcR3qSGk+voYfD2gAu4NqRTu3IDCHSGEEFIzvh5QAfeFVAp3bkDhjhBCCCGAe0KqT3z8GCGEEEKIGnjbCV++VfskhBBCCCE2UbgjhBBCCFERCneEEEIIISpC4Y4QQgghREUo3BFCCCGEqAidLeuFBFHEoawLKCwqQVR4MDq29L3r/hBCCCHEMyjceZkffz+Jd1f9iPyrVRdDjKkbghef6Iu+XXzjit1GFFIJIYQQ96OLGFdTbVzE+MffT+KVhd9Zffw/kwb4TMBTS0ilgEoIIcQb0EWMfZAginh31Y822yxYvRO970j0+nBhLaTmX72BVxZ+5zMhlQIqIYQQX0ThzkscyrogCxFK8q5cx5tLt6FRXF1oNDy0Gh4anodWa/huXGb3MQ00Gg5ajQZanjPcV16f5zmbfTKnlpBKAdX7UEglhBDHULjzEoVFJQ61+27337XcEzme46wGP9P7xttl5ZUOhdR/vf8N6keFVQVPrQYas6BZ9Zjl/qztX6vhoeV5aLT671qzMKvhOdm+lMIrBVTvo5aQqoaAqoYxEKJ2NOeumlw95+7AsXN49j9r7ba7s0NT1AurA51OhCCK0An6L0EQoTO/b/pdVLivE6ETBAgig04QcCv+JHAc9BVMk0qnKDIUl5TZXfe2RtGoG1oHPM9Bw/PQaAzfDbd5njeESF66rdHw0BgCs2yZ7LZxe3xVuDZUUS3bmi6vWo9jDFPe24ArxaVW+x9TNwRr/z0GAX5+Tldo3Uktc1HVEFDVMAYjCqnE1ziTOyjcVZOrw50gihj04v9sVr1i64ViwztP1dofINEQ8gSRQaerCn2CoP+uMwRIQVcVJM3DYtbZfCz5+le7+xpwVxvE1AuR9qUTGQRBgM5kX8ZtmgdTxbBqtlzpMZF+1K0yrdA6c6hfVjlVaG/+mEb2eFUF1fIxQ3DlOKR/tg1FN6yH7cjwOlj0r+Hw89PIwrVp8DUNxzzHgePcG2bVEFDVMAYjtYRUCqi3Fgp3bkBnyyrzhpBqjSgy5aAoyMPq4eyLeHPZNrvbGzcgCU3q14NOFKVtC4IIweS2KDJ9IBbM2jAmtRWN+zbcFgRDO8Ntkem/6/dj+rhxG6JsbKLIUFpWgeul5W54Vn2TrDpqvG1WDTWdd2psqzGp0vK8YQqAhgPPWa/cangOW/dm4WZ5pdX+hAQF4KmB3eHvp1EMuRYh22QKglYjn4ZgfeqC8jQER3jz77Wz1PB3FqCA6m3cMQ4Kd25QG+EOUP6Fja0XirQRfXzmF9bX/3iq4R+Zo4f5F0wZjLaJ9RUO7VdVbK0d2rd12N9aNVXexrI6LJhVbguvleBc3jW74wgK0ILneCn0iobvRM44DaFqfqtC5VShynqzrAIncgrsbr93p0TUjwqTArHWZGqBtekEWt4QhE2mLGhMllU9zilUZvW3tVZCuHnlFhww9F9Lffp3G/D9v7FGagmo7hoHhTs3qK1wB6jjnYyvh1Rf/+OphoAKOB5SP3rlYXRunSBbxhiTBT1jldN4235VVd7WbmVWYT1BZMg6m4fM307aHUO75vURUze0KtzanS9r+zGahlB9keHBqBPoV1WF5Zyv3CpWgE1DrpVpA4pVZJMqMwcHpyq8PBwBftpaqeS6gq//jTVy5zgo3LlBbYY7tfD1kEoB1fPUEFJrElBrwjSQGufLKp6IJYXCqkqq+ZzVEzkFWPrdPrv77H9na8TWCzMEX9Ewl9Za8DWEY7OpBdYCtGge0I3TFkymMMgCOf1rs8taJVd2dQErc2LtTwOw/hjHcfj8+/24cbPCat/CQwIxc2w/aS6tYhDmlCrByieZSdVg3nVzbt3994nCnRtQuLs1UED1PF8PqWoIqL44BmPl1jRcHjh+Dv/64Fu767488h60aBRtOa/VEJItgqaNyq1pYBWNYdtORVkwC6ymFeLLRY5NVQj014LjODqhTIFp0LO4QoHClALz6qmxbcnNchw/k293f65640afUEGIi2h43qXVFHfr26UFet+R6NMBtW+XFvjPpAE+G1I1PI8Xn+hrM6Cmjejj1a+JL46B4zhoNfrDokZ3dWyGmLohdkPqkL7tvWosphytBL83dYjsb5dFJdfKCWWmlVxbVyaw+Zi1/RjWycm9ikMnLtgdQ4PoMITWCTRsz6RKW8PKrX59AdZPcXItR69j60oU7ghROV8PqIDvh1RfD6iAOsbgiyHVXMeWDRwKqB1bNpAt43kOPK+Bn1ZT2120y9GAOnNcSrX/djk659biCgS2rnRgVsnNPleAZRv32+1LVHhwtcZQE3RYtprosCwhxFm+fpgfUMcYfH26Ak1V8A40506FKNwRQojv8vWQSgHVO9DZsipD4Y4QQognUUD1Du4aB4U7N6BwRwghhNSMrwdUI2/7hAo6oYIQQgghHqGGE74A7xuH78VjQgghhBBiFYU7QgghhBAVoXBHCCGEEKIiFO4IIYQQQlTE4+Fu0aJFaNKkCQIDA5GUlIT9+21f7TkjIwMtW7ZEUFAQEhISMHXqVJSVlUmPp6eno2vXrggNDUVMTAwGDx6MrKws2Tb69OkDjuNkXxMnTqyV8VWHIIg49OdZZO44ikN/noUgiJ7uEiGEEEJ8hEfPll2zZg3S0tLw8ccfIykpCRkZGUhJSUFWVhZiYmIs2q9evRrTpk3D0qVL0bNnT5w4cQJjxowBx3FYsGABAGDXrl1ITU1F165dodPp8Oqrr6Jfv344evQogoOrPgJk/PjxmD9/vnS/Tp06tT9gB/z0cxYWLd6OgsLr0rLoqFCkPpeM3r1aerBnzhMEEX8dOYfLl0sQGRmMdm0ToNF4/P2EU9QwBkIIIbcWj17nLikpCV27dsXChQsBAKIoIiEhAZMnT8a0adMs2k+aNAnHjh1DZmamtOzFF1/Evn37sHv3bsV9FBQUICYmBrt27ULv3r0B6Ct3HTt2REZGRrX7XhvXufvp5yzMnf+11cfnzh7iMwFPDSFVDWMAKKASQoga+MR17ioqKnDgwAFMnz5dWsbzPJKTk7Fnzx7FdXr27ImVK1di//796NatG06fPo1NmzZh5MiRVvdTVFQEAKhXr55s+apVq7By5UrExcVhwIABmDVrls3qXXl5OcrLy6X7xcXFDo3TUYIgYtHi7TbbLMjYAq2Wh59WA42Wh1argUbDQ6vhodHw0Gj13/XLOWg1hscNy42P8Tzn0r6bsxZSCwqvY+78r30ipKphDIB6AipAIZUQQhzlsXBXWFgIQRAQGxsrWx4bG4vjx48rrjNixAgUFhbirrvuAmMMOp0OEydOxKuvvqrYXhRFTJkyBXfeeSfatm0r207jxo0RHx+Pw4cP45VXXkFWVhbWr19vtb/p6emYN29eNUbqmL+OnJP9A1ZSXHwTM2evq/G+OA5SMKwKfXxVUDQLjVI41PLQ8PqAaBoYZW14Htu2H7G5/3cWbMKVKyXw9zcNn4ZAqhBYzcOqxrSvGsv+8Lx+HmV1ORK0F320HXf2bOHV4UItARVQT0ilgEoIcQef+oSKnTt34s0338TixYuRlJSE7OxsvPDCC3jttdcwa9Ysi/apqak4cuSIxSHbCRMmSLfbtWuH+vXr495778WpU6eQmJiouO/p06cjLS1Nul9cXIyEBNddjfry5RKH2tWPC0dwcAB0gghBEKHTiRB0htuCULXM8LgoWh51ZwyorBRQWSm4rP/OuHGjHB8s/KFW91EVVjUmFU3eIjga25iGw5KScrtBu6DgOt78z3eIr18XWq3yNo37tAzCSgFWvp5pgJXCrWE9R8KrWgIqoJ6QSgHVu6hlHIQo8Vi4i4qKgkajQV5enmx5Xl4e4uLiFNeZNWsWRo4ciaeffhqAPpiVlJRgwoQJmDFjBniTz3GbNGkSNm7ciJ9++gkNGza02ZekpCQAQHZ2ttVwFxAQgICAAIfH56zIyGD7jQD866X+6NihscPbFUVmCHwCBNEkCOpEk4AoQDQJhbLgaBYYTYOjTifI2gs6EdnZefj5lxN2+3XbbXGoVzdYvm1pO4JZHwz9FvX7tBdeAejHpxNRDp3Dz5WzfvzxWK1t2x6r1VZDdVWnExwKqGkvrUZkZAh4nodGwxnCY1UFVAqlJrd5q7eNAZYzuW3ahoPGuG3DvjQ8D15jue+qEAt8uGibzXH4QkilgOpd1DIOCqjEGo+FO39/f3Tu3BmZmZkYPHgwAP1h1MzMTEyaNElxndLSUlmAAwCNRgMAMJ4XwhjD5MmT8fXXX2Pnzp1o2rSp3b4cOnQIAFC/fv1qjqbm2rVNQHRUqM1/yNHRoWjX1rlqIc9z4HkN/Pw0Ne2iQw79edahcDdxQl+nQqo1xvBaVblk+nCoEBgFgenDoXlwNAuwp/8pwJov99ndd+9et6FevRCTyqlpcBaqQql5gDX2RaHSKq1vCM7WwquxbU39deR8jbfhaQUF1/HAQ+/Az09rI1hWBVTeSli1H0716/E2Aq9sG4bwynEcli7fZXMMGe9vRWhIAPz8tWbBvaqSazoNwdlKriuoKaCqZRwUUIk1Hj0sm5aWhtGjR6NLly7o1q0bMjIyUFJSgrFjxwIARo0ahQYNGiA9PR0AMGDAACxYsACdOnWSDsvOmjULAwYMkEJeamoqVq9ejW+++QahoaHIzc0FAISHhyMoKAinTp3C6tWr0b9/f0RGRuLw4cOYOnUqevfujfbt23vmiYC+EpP6XLLNs2VTn032+h/62gqp1sjDq59LtikIInbsOGp3DLNmDK7110MUGUTRSnXTYllVyD2edQkffbzD7vaHDe2C+vUjpCApCCJEgemrvBa3RQiCvj9SGDUJ16LCbX1b09tm27Czvk4nWA24pvSBuMIVT7lHXCsqxYsvf1Ht9eVhkLOo5Gq1ylMGLObcWpmLq+E5fL/5sM0+vLNgM4qKbsLPz7ICq1gBVqjkOrSeSZB29uQwtUxXoIDqfbwtpHr0UigAsHDhQrz99tvIzc1Fx44d8cEHH0iHSfv06YMmTZpg+fLlAACdToc33ngDK1aswIULFxAdHY0BAwbgjTfeQEREBABYfQe7bNkyjBkzBufOncOTTz6JI0eOoKSkBAkJCRgyZAhmzpzp1CVNauNSKICVH/boUKQ+6zs/7Gq4pIuvj0EQRIx48iO7AXX1ime9+p/YoT/PIu2l/7PbbuarA9GyZX2zUGkIkoIoD6vSfcsAahkyrQdP2+G0apu5edeQlZVrdwyR9UIQGOgHnaAP7qLFFAnXVGvVhONgNi3A9tSCigodLuUW2d1uxw6NEBUVKgu5VXNkHQ/OWq2+L1qbVzdQnmtrHrqNFVq1/G77+t9YU+4Kqc7kDo+HO19VW+EO8L53ANWhlpDqy2NQwx9PNfwjczSgLnjncbtTFRhjEEUmm3tqa+qB/GQrVjVP1mLuLJNNJdCZrXf6dB727D1ldwwtmsfqpypYq9Q6HI5N2lCglegDK1BZaf85iY+vi9DQQCfmzNqenuD4vFv7c3c5DnjtjW9xrajUav8jI0Pw0aLR8PfTKoZcb+HOv7MU7tygNsOdWqghpPr6GHw9oAK+H1IpoNaccXpCdaunxnVPnMjFx//90e7+Bg++A/VjIyxCrmByElnVyV4CBNHx4Cyflyvfpun6xDr5vFTTiqrZ9V3Npis4dAkwG1dVkLZhWMZzHJZ88iOuXy+z2ldX/m5TuHMDCnfEV/h6QAV8P6RSQPUOvjIO0wqt+QlZf/11Dq+/+a3dbYx/ug+aNI5SnFogWJ1XWzVtQTRpJ5qs5+h8WVtzbq9fv4nCyzfc8Ex6B1e96fGJT6gghLiHRsPXSjXFnXr3aok7e7bw2ZDau1dLzJ09xGcDqlpO+PKVcXAcJx3eNHd371ZY8t8f7QbUR4Z38/g4rHG0Evzu24+jfbsExZBrOg1BEE0rqcrTEIwnptmqpkrbsVJNrarG6pfl5xfj1Ol8u+Nw9Dq2rkThjhDiE3w9pFJA9Q6+Pg5fCai2OHpVhfbtEqRDqN7I0ZDq6HVsXYkOy1YTHZYlhNyK1HCYH/D9cdBUBc9z92F+mnPnBhTuCCGEeBIFVM+js2VVhsIdIYQQUjO+HlAB94VUCnduQOGOEEIIIYB7QiqdLUsIIYQQ4ibedsKXb9U+CSGEEEKITVS580KCIOLv3//Blfxi1IsJQ5suTX1uDgKgnnEQQgghvoTCnZf5Zetf+Pj1b1Fo8uHWUXHhmDhzIO5MaefBnjlHLeOggEoIIcTX0AkV1VQbJ1T8svUvvD55BWD+ihg+I3nmhyN9IhipaRwUUAkhhHgDOlvWDVwd7gRBxJg+6bIgYS68XjBmLhoJrVZb9cHFJh9uzPPG75z0Ici8hoNGozG048BreHAcV+P+VnscHBAdF45lP0736oBBAdX7UEglhNzKKNy5gavD3eF9p/DKk0tc0DP7eI0xAPKG4MdZBERZcDS5rRgmTR67XlSKw3tP2e1D8tDOaNAkGhoND60fL4VRrZ8+iGq1Gn0/tBpoDd+N/dL6aQx90C/TtzXeVmir1YDnOYdDLQVU76OWkKqGgKqGMRDiiyjcuYGrw93O7/7Af9Lsf0ZdRGQI/AP9IBo+xNj4XTB8MLKg0y8TRXpZzVmGQh68RgOtnz4g8oYwWF5WiYtnCu1ur2PP5oiKDVcMvLaDMAdeo5EqqQ4FbEe2bfI4ADw/5ANczi9W7ryPBFRAPSFVDQFVDWMwopBKfA2FOzfwVOXuPyufQfukRLvtGGMmAZBBEATDdxGCToAoMgg60Wy5SUA0fLcaIGWPG7cvIudUAb5b8Yvd/iXd0xoRkSEQdCJ0Ov26ukp9f4zLBJ2+r9J9QYRQaXJbp9DW0E/imIBAP/gH+ilWcpUqt9Yqto5VfTkpXNurHBvXAQf879/f40bRTatjiIgMweyPRsPPX6sY4OUVXt7pSq4rqCGgqmEMRmoJqRRQby0U7tyg1ubc5RVZ/vEEfKbS4g3jYIxJwVNXaQiOJgGw6rY+TOpDZVVYPHnkPJa9s9nufh4c0R1xDevJAq4++DIpaErB2Uq4llVg7YVrK0Fbaf+iQAHXHtMgqPXjzUJhVSXXtMJrMR1Aw0PjpzG5rQ+s+lCpb8txHDau+hWlN8qt9iU0PAgTZgyAn79WOWA7WdG1FryrG2rVMlUBUE9IpYDqXdwxDgp3blCrZ8sC8j88PvhHx5fH4Q0Btab+3JuNaSP/a7fdv955DC3aNrQTHB2v3AoCgygLudaDrem2rQXYgtxr+OfYJbvjCKsbDD9/jUkl11jVFSnompFXUjUmJ2GZVVJNbpeXVeKCA1MV2ndPRGRMmI2qr+XJXqb7V6wK1yjkyvfBcZwqpitQQPUu7hoHhTs3qK3PllX6IYmuH45nZvj+D7svjYMCqndwxXQFa5Vcy6puVSW3aqqAtSkAltMBTNvqjNvTCTh7Mg8Hd5+wO4bGLeIQERnsZMWWKre1wT/QD/4BWofmt8qDrHlgrZqCYL2a6sh0BpOAynNY9s5mm1MVwusFY8bCkfD315qcmFY1LUF+YlrV7dq+moIpNQVUd42Dwp0b1Fa4A6hM7S0ooHqeGkKqq+fTOqJqzq3xu/05t7YCZPbfFxyaqjDgyZ6o36ie05VbWyeHWVR4rU1JUJweYTlGYpv5tARbUxeM0xI0xiscGNooBknpNg+O47Hpi724WeLYVAX5FRHMt60UWC3barWuD6/unq5A4c4NajPcEe9BAdXzfD2kqiGgqmEMgPPTFexNT7BVPbUMlkJV2HZ66kNVCM6/cBWnjl60O4aIyBD4B2gtqsq3+nQFY5XU6qW0NGYh1TS8GufSGubgFl8rxaFfs+3u01Vv3JzJHfTxY4TYoNHwLqumeMKdKe3QPbmNTwfUO1PaYeaHIy1DapxvhFSNhsfEmQP1AZWDYkB9ZsZAr35N1DAGAGjbtRmi4sLthtS7H+rotWNxtBI8/f0nbP7tEkV9IFWaXlA1dUGUTV0wna6gdJUD8+kKFlMeDLfPnLiE33dl2R1D4xaxCKsbrHjVBNPtyfdl+6oJxv6gXGd3/65yxdocz1pE4Y4QlfP1gAr4fkj19YAKqGMMagipbbo0dSigtunS1OZ2eJ4Hz+vPGne3w/tOORTunpszuNp/u4xTE3Qml9SSqpgK82SNFU1n2p4/nYeNq/ba7Uu9GPcf3aPDstVEh2UJIc7y9cP8gDrG4OvTFWiqgndw9zhozp0bULgjhBDf5eshlQKqd3DnOCjcuQGFO0IIIZ5EAdU7uGscFO7cgMIdIYQQUjO+HlCNvO0TKuiECi8kCAKO/Hwcly9dRWT9umjbqxU0GvdPeiWEEEJqkxpO+AK8bxwU7rzMz+v3YfGUZSg8f1laFtUwEs9ljEWvoUke7JnzKKQSQggh7keHZaupNg7L/rx+H+Y//I7VjzGZvfYlnwl4agmpFFAJIYR4A5pz5wauDneCIODJpqmyMCTDAdENI7Hi9CKvDxdqCakUUAkhhHgLCndu4Opw9+fOv/HSPXPttusxoAtim0QbPutPY/iuBa/lofXTVn2Gn/SYyXezZcpttIYPkjZ84LTJfWM7W5/Pp5aQSgHV+6ghpKphDIQQz/CpcLdo0SK8/fbbyM3NRYcOHfDhhx+iW7duVttnZGTgo48+Qk5ODqKiojB8+HCkp6cjMDDQ4W2WlZXhxRdfxBdffIHy8nKkpKRg8eLFiI2Ndbjfrg53O/5vN9KfeL/G23EX85BovC3oBFzNs/IhyiZadk1E3dgIaAwf5mwMjcYPgJZuS8vN2lhdrrA9rSPbq2rDcRxevm8+ruZeU+48B0Q3iMTnpxdBq/Xef8xqCaiAOkKqGsYAUEAlxFN8JtytWbMGo0aNwscff4ykpCRkZGRg7dq1yMrKQkxMjEX71atXY9y4cVi6dCl69uyJEydOYMyYMXjsscewYMECh7f57LPP4vvvv8fy5csRHh6OSZMmged5/PLLLw733VOVu+SRvRHdMBKC4WNRdKbfBQFCZdUypTai+TqVOv1HqRi+W9zXCTUem5pZq4pq/TTgDd+VqqDWqqL6D6lWDs6mFVrz7Zjvl+c5LJjwMYoLryt3nAPqxUbgnR/nwi/Az3445q1Xa2ubGkKqGsYAqCegAhRSie/xmXCXlJSErl27YuHChQD0H2SckJCAyZMnY9q0aRbtJ02ahGPHjiEzM1Na9uKLL2Lfvn3YvXu3Q9ssKipCdHQ0Vq9ejeHDhwMAjh8/jtatW2PPnj3o3r27Q32vtTl3Fy5b/xgTDxzOlD6fr1LnUGg8tu8kPkz9n93tPvrKYDRsUV/6nD5R+sw+wXBbNLlttlwQIRqWCaII0eTDokWTzwUUdPp+GT9Euuq2oF9HMN+Hvh9lJWUoKyl3w7PrW2SVVa3pbX0ArLptpY2hYlp120pV1SRc8jyPHz7fiZs3yqz2KziiDkbOfhh+/n5OV2lN2ziynsUYbUxRMKKpCt5HLSFVDQFVDWNwF5+4zl1FRQUOHDiA6dOnS8t4nkdycjL27NmjuE7Pnj2xcuVK7N+/H926dcPp06exadMmjBw50uFtHjhwAJWVlUhOTpbatGrVCo0aNbIZ7srLy1FeXvUPv7i4uPqDV6DRaPBcxlj9H08rH2j97Htj3f5Dz3Gc9A8vIMh++2YdGuP/0r+2G1LHvv6Y1/4CO1pFnbPuJbTq1lwx5DoShK1VS3WVOov1BMUKrfWq69Xca7h4Ks/uGPyD/MBzfFU4FkSrbUXD45VOPJfuUHKtFB+nfeax/csCqVYeTjVajf71sDVVgQEF5y5jctJ0RMSEWw+cvKNBtWYBVqkNx3H4MPUT5d9pBoADFk9ZiqSH7oCfn9ZjVV5HWAuphRcuY/7D7/hMSFVDQFXDGLyVx8JdYWEhBEGwmOcWGxuL48ePK64zYsQIFBYW4q677gJjDDqdDhMnTsSrr77q8DZzc3Ph7++PiIgIiza5ublW+5ueno558+Y5O0yn9BqahNlrX7L4YY9uGIln3/ONH3ZvDanOaNurFaIaRtoNqD0GdvHacTgaUN/8fgY69Gkj3TdWapUqn6ZVTuXqqiMVWOU21tY7ffgsftmw3+44WndvgagG9WTVXYcrtw5Wd62RQm+FzpGXxqqTB/+p0foexYDC81fwYOAIALB50pYz0xWM33ktD63W+gljjp4cxnFAxsQlNkPqwkn/Q2KHxvAL8FOcHmGcl+tJagioahiDN/Opixjv3LkTb775JhYvXoykpCRkZ2fjhRdewGuvvYZZs2bV6r6nT5+OtLQ06X5xcTESEhJcvp9eQ5PQc1AXny5T+3pIvZUCattereSLTSq1CPBzT2dt+HPn3w6Fu6fefEIWUl2NMQZRtB1ErQXYrP3Z+MCBqQqPvzoUCbfFVyMcK4RTwXqArU7YvnmjDKXFNx1+vozVazi+indgwJXcaxjdYrLNZryGd/gqA0rzYi0CqdlcW8s2Wuk2r+Gwcv5X1gMq9AFWq+Wh9dfqpw7wvDSNQH+fk93nea7qtmE6BG/zcc6irTOBVxAELJ6yzGbI/mjqMvQc5L1voL2dx8JdVFQUNBoN8vLkh47y8vIQFxenuM6sWbMwcuRIPP300wCAdu3aoaSkBBMmTMCMGTMc2mZcXBwqKipw7do1WfXO1n4BICAgAAEBAdUZqtM0Gk2t/qNyB18PqRRQvUN1Q6qrcRwHjUZTrecrsWMTrHZgqsLoeY947evhaCV43oaX0TqphfykLYXpCfamFSieMGa+HfPpDDodRJ3t+cGOTlfQ+mnAGKyeUCYKIioEEfC6SQp6xYXXMXvwW27dJ8dx9oOgIQw6OlXhyM/Hff5/oad4LNz5+/ujc+fOyMzMxODBgwHoT37IzMzEpEmTFNcpLS0Fz8s/iNf4x5Ax5tA2O3fuDD8/P2RmZmLYsGEAgKysLOTk5KBHjx61MNJbl6+HVAqonqeGkKqGMTgaspMevMOrx+FoSP331lno0KeN7IQy8yBq8yoEUoB1/EoFusqqcFrVxnKu7cVTuTi296TdMcQ1jUFweB0wsWqqhSiIYKIo3Tc+pnRfNLTT37Z/3iVjTD9uB14HR12+dNWFW7u1ePSwbFpaGkaPHo0uXbqgW7duyMjIQElJCcaOHQsAGDVqFBo0aID09HQAwIABA7BgwQJ06tRJOiw7a9YsDBgwQPqDYm+b4eHheOqpp5CWloZ69eohLCwMkydPRo8ePRw+U5bcOiigep4aQqqvj0ENARVwvhIsm6bgJRwNqC99+pzL/nYxxqSgawx70m3zIGj+uEJbR6cqRNav65L+34o8Gu4effRRFBQUYPbs2cjNzUXHjh2xZcsW6YSInJwcWaVu5syZ4DgOM2fOxIULFxAdHY0BAwbgjTfecHibAPDee++B53kMGzZMdhFjQtTI1wMqoJ6Q6stj8PWACqgjpHpiqgLHcfrDrjwPuGAqrqNTFWp7uoWaefwTKnyVq69zRwghvkAN1yVTugRHdILvhFTpTFNAMaD6wpmmahiDu/nMRYx9GYU7QgjxXb4eUn09oALqGIM7UbhzAwp3hBBCPMnXAyqgjjG4i098QgUhhBBCqk8N82nVMAZvxNtvQgghhBBCfAWFO0IIIYQQFaFwRwghhBCiIhTuCCGEEEJUhMIdIYQQQoiKULgjhBBCCFERCneEEEIIISpC4Y4QQgghREUo3BFCCCGEqAiFO0IIIYQQFaGPH6sm40fyFhcXe7gnhBBCCFE7Y94w5g9bKNxV0/Xr1wEACQkJHu4JIYQQQm4V169fR3h4uM02HHMkAhILoiji4sWLCA0NBcdxLt9+cXExEhIScO7cOYSFhbl8+8Rx9Fp4D3otvAO9Dt6DXgvvUduvBWMM169fR3x8PHje9qw6qtxVE8/zaNiwYa3vJywsjH5hvQS9Ft6DXgvvQK+D96DXwnvU5mthr2JnRCdUEEIIIYSoCIU7QgghhBAVoXDnpQICAjBnzhwEBAR4uiu3PHotvAe9Ft6BXgfvQa+F9/Cm14JOqCCEEEIIURGq3BFCCCGEqAiFO0IIIYQQFaFwRwghhBCiIhTuCCGEEEJUhMKdh6Wnp6Nr164IDQ1FTEwMBg8ejKysLFmbPn36gOM42dfEiRM91GN1cuR1AIA9e/bgnnvuQXBwMMLCwtC7d2/cvHnTAz1WL3uvxZkzZyx+H4xfa9eu9WDP1ceR34vc3FyMHDkScXFxCA4Oxh133IF169Z5qMfq5MjrcOrUKQwZMgTR0dEICwvDI488gry8PA/1WL0++ugjtG/fXrpQcY8ePbB582bp8bKyMqSmpiIyMhIhISEYNmyYR14HCncetmvXLqSmpmLv3r3Ytm0bKisr0a9fP5SUlMjajR8/HpcuXZK+3nrrLQ/1WJ0ceR327NmD+++/H/369cP+/fvx22+/YdKkSXY/BoY4x95rkZCQIPtduHTpEubNm4eQkBA88MADHu69ujjyezFq1ChkZWXh22+/xV9//YWhQ4fikUcewR9//OHBnquLvdehpKQE/fr1A8dx2LFjB3755RdUVFRgwIABEEXRw71Xl4YNG+Lf//43Dhw4gN9//x333HMPBg0ahL///hsAMHXqVHz33XdYu3Ytdu3ahYsXL2Lo0KHu7ygjXiU/P58BYLt27ZKW3X333eyFF17wXKduQUqvQ1JSEps5c6YHe3VrUnotzHXs2JGNGzfOjb26NSm9FsHBwezzzz+XtatXrx775JNP3N29W4b567B161bG8zwrKiqS2ly7do1xHMe2bdvmqW7eMurWrcv+97//sWvXrjE/Pz+2du1a6bFjx44xAGzPnj1u7ROVHLxMUVERAKBevXqy5atWrUJUVBTatm2L6dOno7S01BPdu2WYvw75+fnYt28fYmJi0LNnT8TGxuLuu+/G7t27PdnNW4K13wmjAwcO4NChQ3jqqafc2a1bktJr0bNnT6xZswZXrlyBKIr44osvUFZWhj59+niol+pn/jqUl5eD4zjZxXMDAwPB8zz9japFgiDgiy++QElJCXr06IEDBw6gsrISycnJUptWrVqhUaNG2LNnj3s759YoSWwSBIE9+OCD7M4775QtX7JkCduyZQs7fPgwW7lyJWvQoAEbMmSIh3qpfkqvw549exgAVq9ePbZ06VJ28OBBNmXKFObv789OnDjhwd6qm7XfCVPPPvssa926tRt7dWuy9lpcvXqV9evXjwFgWq2WhYWFsa1bt3qol+qn9Drk5+ezsLAw9sILL7CSkhJ248YNNmnSJAaATZgwwYO9VafDhw+z4OBgptFoWHh4OPv+++8ZY4ytWrWK+fv7W7Tv2rUre/nll93aR617oySxJTU1FUeOHLF4pzVhwgTpdrt27VC/fn3ce++9OHXqFBITE93dTdVTeh2M81aeeeYZjB07FgDQqVMnZGZmYunSpUhPT/dIX9XO2u+E0c2bN7F69WrMmjXLzT279Vh7LWbNmoVr165h+/btiIqKwoYNG/DII4/g559/Rrt27TzUW/VSeh2io6Oxdu1aPPvss/jggw/A8zwef/xx3HHHHTQnuBa0bNkShw4dQlFREb766iuMHj0au3bt8nS35NwaJYlVqamprGHDhuz06dN22964cYMBYFu2bHFDz24t1l6H06dPMwBsxYoVsuWPPPIIGzFihDu7eMtw5Hfi888/Z35+fiw/P9+NPbv1WHstsrOzGQB25MgR2fJ7772XPfPMM+7s4i3Bkd+JgoICdvXqVcYYY7Gxseytt95yU+9uXffeey+bMGECy8zMZACk59+oUaNGbMGCBW7tE0V6D2OMYdKkSfj666+xY8cONG3a1O46hw4dAgDUr1+/lnt367D3OjRp0gTx8fEWlx84ceIEGjdu7M6uqp4zvxOffvopBg4ciOjoaDf28NZh77Uwzv01rw5pNBo6S9OFnPmdiIqKQkREBHbs2IH8/HwMHDjQjT29NYmiiPLycnTu3Bl+fn7IzMyUHsvKykJOTg569Ojh3k65NUoSC88++ywLDw9nO3fuZJcuXZK+SktLGWP6d8bz589nv//+O/vnn3/YN998w5o1a8Z69+7t4Z6ri73XgTHG3nvvPRYWFsbWrl3LTp48yWbOnMkCAwNZdna2B3uuPo68FowxdvLkScZxHNu8ebOHeqp+9l6LiooK1rx5c9arVy+2b98+lp2dzd555x3GcZw0D4nUnCO/E0uXLmV79uxh2dnZbMWKFaxevXosLS3Ng71Wp2nTprFdu3axf/75hx0+fJhNmzaNcRzHfvjhB8YYYxMnTmSNGjViO3bsYL///jvr0aMH69Gjh9v7SeHOwwAofi1btowxxlhOTg7r3bs3q1evHgsICGDNmzdn//rXv2SnvJOas/c6GKWnp7OGDRuyOnXqsB49erCff/7ZMx1WMUdfi+nTp7OEhAQmCIJnOnoLcOS1OHHiBBs6dCiLiYlhderUYe3bt7e4NAqpGUdeh1deeYXFxsYyPz8/1qJFC/buu+8yURQ912mVGjduHGvcuDHz9/dn0dHR7N5775WCHWOM3bx5kz333HOsbt26rE6dOmzIkCHs0qVLbu8nxxhj7qgQEkIIIYSQ2kdz7gghhBBCVITCHSGEEEKIilC4I4QQQghREQp3hBBCCCEqQuGOEEIIIURFKNwRQgghhKgIhTtCCCGEEBWhcEcIIYQQoiIU7ggh5BaWlZWFuLg4XL9+3WXbnDZtGiZPnuyy7RFCnEPhjhDicRzH2fyaO3eup7vock2aNEFGRoanu4Hp06dj8uTJCA0NlZZ98sknaNy4MTp16oR9+/bJ2jPG8N///hdJSUkICQlBREQEunTpgoyMDJSWlgIAXnrpJXz22Wc4ffq0W8dCCNGjcEcI8bhLly5JXxkZGQgLC5Mte+mllzzdRYcwxqDT6dy6z4qKimqvm5OTg40bN2LMmDGyZW+99Ra++OILzJgxA2PHjpWtM3LkSEyZMgWDBg3Cjz/+iEOHDmHWrFn45ptv8MMPPwAAoqKikJKSgo8++qjafSOEVB+FO0KIx8XFxUlf4eHh4DhOtuyLL75A69atERgYiFatWmHx4sXSumfOnAHHcfjyyy/Rq1cvBAUFoWvXrjhx4gR+++03dOnSBSEhIXjggQdQUFAgrTdmzBgMHjwY8+bNQ3R0NMLCwjBx4kRZWBJFEenp6WjatCmCgoLQoUMHfPXVV9LjO3fuBMdx2Lx5Mzp37oyAgADs3r0bp06dwqBBgxAbG4uQkBB07doV27dvl9br06cPzp49i6lTp0rVSQCYO3cuOnbsKHtuMjIy0KRJE4t+v/HGG4iPj0fLli0BACtWrECXLl0QGhqKuLg4jBgxAvn5+Taf9y+//BIdOnRAgwYNpGXFxcWIiIhA+/bt0blzZ9y8eVPWftWqVfi///s/vPrqq+jatSuaNGmCQYMGYceOHejbt6/UdsCAAfjiiy9s7p8QUju0nu4AIYTYsmrVKsyePRsLFy5Ep06d8Mcff2D8+PEIDg7G6NGjpXZz5sxBRkYGGjVqhHHjxmHEiBEIDQ3F+++/jzp16uCRRx7B7NmzZdWkzMxMBAYGYufOnThz5gzGjh2LyMhIvPHGGwCA9PR0rFy5Eh9//DFatGiBn376CU8++SSio6Nx9913S9uZNm0a3nnnHTRr1gx169bFuXPn0L9/f7zxxhsICAjA559/jgEDBiArKwuNGjXC+vXr0aFDB0yYMAHjx493+jnJzMxEWFgYtm3bJi2rrKzEa6+9hpYtWyI/Px9paWkYM2YMNm3aZHU7P//8M7p06SJb1rZt2/9v7/5CmnrDOIB/ZzrTjJE1BoFZmMmUbdhFYRd5UXHqIiWITLtIWNBNN5G34XLQJGRCY3WRML3IgiCWtCQijKI/lIXLEAlmaxUFWVpurkx7upAOv+PKrZ9isr6fq73Pec77nsMYPLznfc9gtVphMBig1+tx7tw5zXdRUlKC6urqhL50Oh0MBoPa3rRpE16/fo1wOKwpToloAQgR0SLi8/nEYDCo7aKiIuns7NTkOJ1OqaioEBGRFy9eCABpa2tTj1+4cEEAyM2bN9WYy+WSkpIStX3w4EHJz8+XWCymxs6ePSt5eXkyNTUlX758kdzcXLl3755mbLvdLrW1tSIi0tPTIwDE7/cnva+ysjLxeDxqu7CwUFpbWzU5jY2NYrPZNLHW1lYpLCzUXLfJZJKvX7/OOt6jR48EgIyNjf02x2azSVNT0y+PDQ8Py/j4uCZmNpulqqpq1nF/+vTpkwCQW7dupZRPRPOHM3dEtGjFYjGEQiHY7XbNDNfk5KRmlggArFar+tlkMgEALBaLJjbzMaXNZkNubq7arqioQDQaxatXrxCNRjE+Po4dO3ZozpmYmEB5ebkmNnP2KxqNwuFwIBAI4O3bt5icnEQ8HkckEvmT2/8ti8UCvV6viT1+/BgOhwPBYBAjIyP4/v07gOk1dKWlpb/sJx6PY+nSpb88tnLlyoSYiKR8jTk5OQCgbrIgooXD4o6IFq1oNApgevfm5s2bNceWLFmiaWdlZamff65hmxn7WfD8ydiBQECzJg0AsrOzNe1ly5Zp2g0NDbhx4wZaWlqwfv165OTkYO/evUk3P2RkZCQUUN++fUvImzleLBaDoihQFAXnz5+H0WhEJBKBoiizjrlq1SqMjIzMek3/tWHDBgwODqaU+/HjRwCA0WhMuX8imh8s7oho0TKZTFi9ejWGhoZw4MCBee8/GAwiHo+rs0wPHjxAXl4eCgoKkJ+fj+zsbEQiEc36ulTcvXsX9fX12LNnD4DpQjEcDmty9Ho9pqamNDGj0Yh3795BRNQCta+vL+l4g4OD+PDhA5qbm1FQUAAA6O3tTXpeeXk5BgYGUrijaXV1ddi/fz+uXLmSsO5ORPD582d1RvXZs2fIyspCWVlZyv0T0fzgblkiWtROnDgBl8uF06dP4/nz5+jv74fP54Pb7Z5z3xMTE7Db7RgYGMC1a9fQ2NiII0eOICMjA8uXL0dDQwOOHj2Kjo4OhEIhPHnyBB6PBx0dHbP2W1xcjMuXL6Ovrw/BYBB1dXUJs4Zr167F7du38ebNGwwPDwOY3kX7/v17nDp1CqFQCF6vF93d3UnvY82aNdDr9fB4PBgaGkJXVxecTmfS8xRFwf379xOKzN/Zt28fampqUFtbi5MnT6K3txcvX77E1atXsX37dvT09Ki5d+7cUXcvE9HCYnFHRIvaoUOH0NbWBp/PB4vFgsrKSrS3t2PdunVz7nvbtm0oLi7G1q1bUVNTg6qqKs0Lk51OJ44fPw6XywWz2YydO3ciEAgkHdvtdmPFihXYsmULdu/eDUVRsHHjRk1OU1MTwuEwioqK1EeXZrMZZ86cgdfrhc1mw8OHD1N6x5/RaER7ezsuXbqE0tJSNDc3o6WlJel5u3btQmZmpuY1LbPR6XTo7OyE2+2G3+9HZWUlrFYrHA4HqquroSiKmnvx4sX/tROYiOZOJ3+yQpaIKE3U19djdHQUfr//b1/KX+X1etHV1YXr16/PW5/d3d04duwYnj59isxMrv4hWmj81RER/cMOHz6M0dFRjI2Naf6CbC5isRh8Ph8LO6K/hDN3RPRP4swdEaUrFndEREREaYQbKoiIiIjSCIs7IiIiojTC4o6IiIgojbC4IyIiIkojLO6IiIiI0giLOyIiIqI0wuKOiIiIKI2wuCMiIiJKIz8AbOUlDxCqJDUAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 700x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Cálculo de las concentraciones corregidas (ya implementado):\n",
    "X_corr_dict = {}  # clave = Nº de Bote, valor = X_H2O corregido\n",
    "for row in X_agua:\n",
    "    bote = int(row[0])\n",
    "    m_H2O_meas = row[1]\n",
    "    m_total = row[2]\n",
    "    m_96 = m_total - m_H2O_meas\n",
    "    m_H2O_total = m_H2O_meas + 0.04 * m_96 * (rho_H2O / rho_96)\n",
    "    m_OH_total  = 0.96 * m_96 * (rho_OH / rho_96)\n",
    "    X_corr = 1 / (1 + (m_OH_total/m_H2O_total) * (M_H2O/M_OH))\n",
    "    X_corr_dict[bote] = X_corr\n",
    "\n",
    "# Extracción de la densidad a T_target = 25.0°C (usamos tolerancia de 1e-3)\n",
    "T_target = 27.0\n",
    "tol = 1e-3\n",
    "density_at_T = {}\n",
    "for row in densidades_temperatura:\n",
    "    bote = int(row[0])\n",
    "    dens_val = row[1]\n",
    "    T_val = row[2]\n",
    "    if abs(T_val - T_target) < tol:\n",
    "        density_at_T[bote] = dens_val\n",
    "\n",
    "# Construimos arrays para el ajuste: solo usamos los botes que tienen dato a T_target°C\n",
    "x_corr = []\n",
    "densities = []\n",
    "for bote, X_corr in X_corr_dict.items():\n",
    "    if bote in density_at_T:\n",
    "        x_corr.append(X_corr)\n",
    "        densities.append(density_at_T[bote])\n",
    "x_corr = np.array(x_corr)\n",
    "densities = np.array(densities)\n",
    "\n",
    "# ---------------------------------------------\n",
    "# (A) Ajuste polinómico de segundo grado y gráfica\n",
    "# ---------------------------------------------\n",
    "# Ajustamos la función ρ(x) = a + b*x + c*x² con covarianza para obtener incertidumbres\n",
    "coeffs, cov = np.polyfit(x_corr, densities, 2, cov=True)\n",
    "coeffs_err = np.sqrt(np.diag(cov))\n",
    "p = np.poly1d(coeffs)\n",
    "\n",
    "# Imprimir el ajuste con incertidumbres:\n",
    "print(f\"\\nAjuste polinómico de densidad a T = {T_target}°C:\")\n",
    "print(\"ρ(x) = ({:.6f} ± {:.6f}) + ({:.6f} ± {:.6f})*x + ({:.6f} ± {:.6f})*x²\".format(\n",
    "      coeffs[2], coeffs_err[2],\n",
    "      coeffs[1], coeffs_err[1],\n",
    "      coeffs[0], coeffs_err[0]))\n",
    "\n",
    "# Calculamos la banda de incertidumbre del ajuste\n",
    "x_plot = np.linspace(min(x_corr)*0.98, max(x_corr)*1.02, 200)\n",
    "p_fit = np.polyval(coeffs, x_plot)\n",
    "err_fit = np.zeros_like(x_plot)\n",
    "for i, xp in enumerate(x_plot):\n",
    "    vec = np.array([1, xp, xp**2])\n",
    "    err_fit[i] = np.sqrt(vec @ cov @ vec)\n",
    "\n",
    "# Graficar datos y ajuste (ρ vs. X_H2O a T_target°C)\n",
    "plt.figure(figsize=(6,4))\n",
    "plt.errorbar(x_corr, densities, fmt='bo', label=f'Datos (T = {T_target}°C)')\n",
    "plt.plot(x_plot, p_fit, 'r-', label='Ajuste polinómico')\n",
    "plt.fill_between(x_plot, p_fit - err_fit, p_fit + err_fit, color='gray', alpha=0.3, label='Incertidumbre del ajuste')\n",
    "plt.xlabel('Fracción molar corregida de agua, $X_{H_2 O}$')\n",
    "plt.ylabel('Densidad (g/cm³)')\n",
    "plt.title(f'Ajuste de ρ vs X_H_20 a {T_target}°C')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "# -----------------------------------------------------------\n",
    "# (B) Gráfica de densidad (ρ) frente a temperatura (T) para cada bote\n",
    "# -----------------------------------------------------------\n",
    "# Agrupamos los datos de densidades_temperatura por Nº de Bote\n",
    "botes = np.unique(densidades_temperatura[:,0])\n",
    "colors = plt.cm.viridis(np.linspace(0, 1, len(botes)))\n",
    "\n",
    "plt.figure(figsize=(7,5))\n",
    "for i, b in enumerate(botes):\n",
    "    mask = densidades_temperatura[:,0] == b\n",
    "    T_vals = densidades_temperatura[mask, 2]\n",
    "    dens_vals = densidades_temperatura[mask, 1]\n",
    "    plt.plot(T_vals, dens_vals, marker='o', linestyle='-', color=colors[i],\n",
    "             label=f'Bote {int(b)} (X_H2O = {X_corr_dict.get(int(b), \"N/D\"):.2f})')\n",
    "plt.xlabel('Temperatura (°C)')\n",
    "plt.ylabel('Densidad (g/cm³)')\n",
    "plt.title('Densidad vs. Temperatura para cada Bote')\n",
    "plt.legend(loc='upper right', fontsize='small')\n",
    "plt.show()\n",
    "\n",
    "# Misma grafica que arriba pero sin leyenda\n",
    "\n",
    "botes = np.unique(densidades_temperatura[:,0])\n",
    "colors = plt.cm.viridis(np.linspace(0, 1, len(botes)))\n",
    "\n",
    "plt.figure(figsize=(7,5))\n",
    "for i, b in enumerate(botes):\n",
    "    mask = densidades_temperatura[:,0] == b\n",
    "    T_vals = densidades_temperatura[mask, 2]\n",
    "    dens_vals = densidades_temperatura[mask, 1]\n",
    "    plt.plot(T_vals, dens_vals, marker='o', linestyle='-', color=colors[i],\n",
    "             label=f'Bote {int(b)} (X_H2O = {X_corr_dict.get(int(b), \"N/D\"):.2f})')\n",
    "plt.xlabel('Temperatura (°C)')\n",
    "plt.ylabel('Densidad (g/cm³)')\n",
    "plt.title('Densidad vs. Temperatura para cada Bote')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Volúmenes Molares"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Los volumenes molares son:\n",
    "\n",
    "VOLUMEN DE EXCESO:\n",
    "$$v^{e}=\\frac{x_1\\cdot M_1 + x_2\\cdot M_2}{\\rho}-(\\frac{x_1\\cdot M_1}{\\rho_1}+\\frac{x_2 \\cdot M_2}{\\rho_2})$$\n",
    "Es la diferencia entre el volumen real de la mezcla y el volumen ideal esperado de la suma de volúmenes molares de los componentes puros; si la mezcla es ideal, esta diferencia es cero:\n",
    "$$V_e=V_m-(n_1\\cdot v_1^0+n_2\\cdot v_2^0)$$\n",
    "\n",
    "VOLUMEN MOLAR APARENTE:\n",
    "$$v_\\phi=\\frac{M_2}{\\rho}+\\frac{(\\rho_1-\\rho)}{m_T\\cdot\\rho_1\\cdot\\rho}$$\n",
    "Es el volumen que se atribuye al soluto asumiendo que el volumen del disolvente permanece constante:\n",
    "$$v_\\phi=\\frac{V}{n_2}$$\n",
    "\n",
    "VOLUMEN MOLAR PARCIAL:\n",
    "$$\\overline{v}=v_\\phi+m\\cdot(\\frac{\\partial v_\\phi}{\\partial m})_{T, P}$$\n",
    "Es la derivada del volumen total con respecto a la cantidad de moles de un componente a temperatura y presión constante:\n",
    "$$\\overline{V}=(\\frac{\\partial V}{\\partial n})_{T, P}$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Este es el aspecto teórico, para el práctico, seguiremos los siguientes pasos:\n",
    "\n",
    "\n",
    "1· Cálculo del volumen molar real ($V_m(X)$):\n",
    "$$V_m(X)=\\frac{X\\cdot M_{H_2 O}+(1-X)\\cdot M_{OH}}{\\rho(X)}$$\n",
    "\n",
    "2· Cálculo del volumen ideal ($V_{ideal}(X)$):\n",
    "Es la suma ponderada de los volúmenes molares de sus componentes puros, con\n",
    "$$v_{H_2 O}^0=\\frac{M_{H_2 O}}{\\rho_{H_2 O}};\\space v_{OH}^0=\\frac{M_{OH}}{\\rho_{OH}}$$\n",
    "\n",
    "3· Volumen de Exceso ($V^{e}$):\n",
    "Que es la diferencia\n",
    "$$V^{e}(X)=V_m(X)-V_{ideal}(X)$$\n",
    "\n",
    "4· Volumen molar aparente ($\\phi_{OH}(X)$):\n",
    "Para el etanol puro es\n",
    "$$\\phi_{OH}(X)=\\frac{V_m(X)-X\\cdot v_{H_2 O}^0}{1-X}$$\n",
    "\n",
    "5· Volumen molar parcial ($\\overline{V}_{OH}(X)$):\n",
    "Derivamos de la anterior tal que\n",
    "$$\\overline{V}_{OH}(X)=\\phi_{OH}(X)-(1-X)\\cdot \\frac{\\partial \\phi_{OH}(X)}{\\partial X}$$\n",
    "\n",
    "6· Generar gráficas:\n",
    "Se genera una gráfica de las tres funciones frente a X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from uncertainties import ufloat\n",
    "\n",
    "# --- Constantes y volúmenes molares puros ---\n",
    "M_H2O = 18.02   # g/mol\n",
    "M_OH  = 46.06   # g/mol\n",
    "rho_H2O = 0.998 # g/cm³ (agua pura)\n",
    "rho_OH   = 0.789# g/cm³ (etanol puro)\n",
    "\n",
    "v_H2O_0 = M_H2O / rho_H2O\n",
    "v_OH_0  = M_OH  / rho_OH\n",
    "\n",
    "# --- Función densidad ajustada ---\n",
    "# Se asume que 'p(x)' ya está definida (por ejemplo, a partir del ajuste polinómico de la densidad a 27°C)\n",
    "def densidad(x):\n",
    "    return p(x)  # ρ(x) en g/cm³\n",
    "\n",
    "# --- Funciones teóricas para los volúmenes ---\n",
    "def V_m(x):\n",
    "    \"\"\"Volumen molar real de la mezcla (cm³/mol) a partir del ajuste de densidad.\"\"\"\n",
    "    M_mix = x * M_H2O + (1 - x) * M_OH\n",
    "    return M_mix / densidad(x)\n",
    "\n",
    "def V_ideal(x):\n",
    "    \"\"\"Volumen ideal aditivo (cm³/mol).\"\"\"\n",
    "    return x * v_H2O_0 + (1 - x) * v_OH_0\n",
    "\n",
    "def V_ex(x):\n",
    "    \"\"\"Volumen de exceso.\"\"\"\n",
    "    return V_m(x) - V_ideal(x)\n",
    "\n",
    "def phi_OH(x):\n",
    "    \"\"\"Volumen molar aparente del etanol.\"\"\"\n",
    "    return (V_m(x) - x * v_H2O_0) / (1 - x)\n",
    "\n",
    "# ----------------------------------------------------------------\n",
    "# AJUSTE DEL DOMINIO PARA NO LLEGAR A X=1\n",
    "# ----------------------------------------------------------------\n",
    "# Asumimos que x_corr es un array con las fracciones molares corregidas (agua)\n",
    "# y que al menos un valor es < 1\n",
    "x_below_one = x_corr[x_corr < 1]  # tomamos solo los x estrictamente menores que 1\n",
    "x_min = min(x_below_one)*0.98\n",
    "x_max = max(x_below_one)*1.02\n",
    "\n",
    "# Creamos el dominio teórico, sin llegar a 1\n",
    "x_vals = np.linspace(x_min, x_max, 200)\n",
    "\n",
    "# Calculamos las curvas\n",
    "V_ex_vals = np.array([V_ex(x) for x in x_vals])\n",
    "phi_vals  = np.array([phi_OH(x) for x in x_vals])\n",
    "\n",
    "# Derivada numérica para volumen parcial\n",
    "dx = x_vals[1] - x_vals[0]\n",
    "dphi_dx = np.gradient(phi_vals, dx)\n",
    "V_parcial_vals = phi_vals - (1 - x_vals) * dphi_dx\n",
    "\n",
    "# --- Datos experimentales y propagación de errores ---\n",
    "# Se asumen las siguientes incertidumbres:\n",
    "err_x = 0.001      # incertidumbre en la fracción molar corregida\n",
    "err_rho = 0.001    # incertidumbre en la densidad medida (g/cm³)\n",
    "\n",
    "# Diccionarios X_corr_dict y density_at_T ya deben estar definidos:\n",
    "#  - X_corr_dict: clave = Nº de Bote, valor = fracción molar corregida de agua (x)\n",
    "#  - density_at_T: clave = Nº de Bote, valor = densidad medida a 25°C\n",
    "bottles = sorted(X_corr_dict.keys())\n",
    "\n",
    "x_exp = []\n",
    "V_m_exp = []\n",
    "V_ex_exp = []\n",
    "phi_exp = []\n",
    "V_ex_err = []\n",
    "phi_err = []\n",
    "\n",
    "for b in bottles:\n",
    "    x_val = ufloat(X_corr_dict[b], err_x)\n",
    "    # Excluimos si x ~ 1\n",
    "    if abs(1 - x_val.nominal_value) < 1e-6:\n",
    "        continue\n",
    "    \n",
    "    rho_val = ufloat(density_at_T[b], err_rho)\n",
    "    M_mix = x_val * M_H2O + (1 - x_val) * M_OH\n",
    "    Vm_val = M_mix / rho_val\n",
    "    Videal_val = x_val * v_H2O_0 + (1 - x_val) * v_OH_0\n",
    "    \n",
    "    Vex_val = Vm_val - Videal_val\n",
    "    phi_val = (Vm_val - x_val * v_H2O_0) / (1 - x_val)\n",
    "    \n",
    "    x_exp.append(x_val.nominal_value)\n",
    "    V_m_exp.append(Vm_val.nominal_value)\n",
    "    V_ex_exp.append(Vex_val.nominal_value)\n",
    "    phi_exp.append(phi_val.nominal_value)\n",
    "    \n",
    "    V_ex_err.append(Vex_val.std_dev)\n",
    "    phi_err.append(phi_val.std_dev)\n",
    "\n",
    "# Convertimos a arrays NumPy\n",
    "x_exp = np.array(x_exp)\n",
    "V_ex_exp = np.array(V_ex_exp)\n",
    "phi_exp = np.array(phi_exp)\n",
    "V_ex_err = np.array(V_ex_err)\n",
    "phi_err = np.array(phi_err)\n",
    "\n",
    "# Volumen parcial experimental\n",
    "dphi_dx_exp = np.gradient(phi_exp, x_exp)  # derivada en puntos experimentales\n",
    "V_parcial_exp = phi_exp - (1 - x_exp) * dphi_dx_exp\n",
    "# Aproximamos errores\n",
    "dphi_dx_err = np.gradient(phi_err, x_exp)\n",
    "V_parcial_exp_err = np.sqrt(phi_err**2 + ((1-x_exp) * dphi_dx_err)**2)\n",
    "\n",
    "# --- Gráficas ---\n",
    "# 1) Volumen de Exceso vs. x\n",
    "plt.figure(figsize=(6,4))\n",
    "plt.plot(x_vals, V_ex_vals, 'b-', linewidth=2, label=r'$V^E(x)$ Ajuste')\n",
    "plt.errorbar(x_exp, V_ex_exp, yerr=V_ex_err, fmt='ro', capsize=4, label='Datos experimentales')\n",
    "plt.xlabel('Fracción molar corregida de agua, $x$')\n",
    "plt.ylabel('Volumen de exceso (cm³/mol)')\n",
    "plt.title('Volumen de Exceso vs. $x$')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "\n",
    "# 2) Volumen Molar Aparente vs. x\n",
    "plt.figure(figsize=(6,4))\n",
    "plt.plot(x_vals, phi_vals, 'r-', linewidth=2, label=r'$\\phi_{OH}(x)$ Ajuste')\n",
    "plt.errorbar(x_exp, phi_exp, yerr=phi_err, fmt='bo', capsize=4, label='Datos experimentales')\n",
    "plt.xlabel('Fracción molar corregida de agua, $x$')\n",
    "plt.ylabel('Volumen aparente (cm³/mol)')\n",
    "plt.title('Volumen Aparente vs. $x$ (Sin llegar a x=1)')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "\n",
    "# 3) Volumen Molar Parcial vs. x\n",
    "plt.figure(figsize=(6,4))\n",
    "plt.plot(x_vals, V_parcial_vals, 'g-', linewidth=2, label=r'$\\bar{V}_{OH}(x)$ Ajuste')\n",
    "plt.errorbar(x_exp, V_parcial_exp, yerr=V_parcial_exp_err, fmt='ms', capsize=4, label='Datos experimentales')\n",
    "plt.xlabel('Fracción molar corregida de agua, $x$')\n",
    "plt.ylabel('Volumen parcial (cm³/mol)')\n",
    "plt.title('Volumen Parcial vs. $x$ (Sin llegar a x=1)')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Seebeck"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Datos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1· Cálculo RC (en unicdades AC)\n",
    "\n",
    "Mítica $R=\\frac{V}{I}$ por regresión lineal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Matriz tipo [V, I] en unidades [Voltios, Miliamperios]\n",
    "\n",
    "datos_para_rc = np.array([[20.04, 25.25], [40.01, 50.60], [59.6, 74.8], [80.2, 100.3], [100.4,  125.1], [120.4, 149.6], [140.1, 173.4], [160.5, 197.5], [180.5, 221.0], [200.4, 244.1]])\n",
    "\n",
    "# Matriz con las incertidumbres tipo [V, I] en mismas unidades que antes. Incertidumbre en polimetro\n",
    "\n",
    "incertidumbres_datos_para_rc = np.array([[0.01, 0.01] , [0.01, 0.01], [0.1, 0.1], [0.1, 0.1], [0.1, 0.1], [0.1, 0.1], [0.1, 0.1], [0.1, 0.1], [0.1, 0.1], [0.1, 0.1]])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2· Calentamiento de Unión Caliente y evolución a estado estacionario\n",
    "\n",
    "Tomamos corriente alterna estable a 125 V (aprox 125.3 V con pequeñas variaciones) y luego 150 V"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Matrices tipo [Tiempo, T_1 (Unión fría), T_2 (Unión caliente)] en unidades [Minutos, grados celsius, grados celsius] por cada voltaje\n",
    "\n",
    "# PRIMER SET\n",
    "tension_primer_set = 125.3\n",
    "\n",
    "primer_set_seebeck = np.array([[0, 14.6, 21.0], [1, 14.5, 21.3], [2, 14.6, 21.9], [3, 14.6, 22.5], [4, 14.6, 23.1], [5, 14.6, 23.6], [6, 14.6, 24.1], [7, 14.7, 24.6], [8, 14.7, 25.1], [9, 14.7, 25.5], [10, 14.8, 25.9], [11, 14.8, 26.3], [12, 14.8, 26.7], [13, 14.8, 27.1], [14, 14.8, 27.5], [15, 14.9, 27.8], [16, 14.9, 28.2], [17, 14.9, 28.5], [18, 15.0, 28.8], [19, 15.0, 29.1], [20, 15.0, 29.4], [21, 15.0, 29.7], [22, 15.0, 29.9], [23, 15.0, 30.2], [24, 15.1, 30.4], [25, 15.1, 30.7], [26, 15.1, 30.9], [27, 15.1, 31.2], [28, 15.2, 31.4], [29, 15.2, 31.6], [30, 15.2, 31.8], [31, 15.2, 32.0], [32, 15.2, 32.2], [33, 15.2, 32.4], [34, 15.2, 32.6], [35, 15.3, 32.7], [36, 15.3, 32.9], [37, 15.3, 33.1], [38, 15.3, 33.2], [39, 15.3, 33.4], [40, 15.3, 33.5], [41, 15.3, 33.6], [42, 15.3, 33.7], [43, 15.3, 33.8], [44, 15.3, 34.0], [45, 15.3, 34.1], [46, 15.3, 34.2], [47, 15.4, 34.3], [48, 15.4, 34.4], [49, 15.4, 34.5], [50, 15.4, 34.6], [51, 15.4, 34.7], [52, 15.4, 34.8], [53, 15.4, 34.9], [54, 15.5, 35.0], [55, 15.5, 35.1], [56, 15.5, 35.2], [57, 15.5, 35.2], [58, 15.5, 35.3], [59, 15.5, 35.4], [60, 15.5, 35.5], [61, 15.5, 35.5], [62, 15.5, 35.6], [63, 15.5, 35.7], [64, 15.5, 35.7], [65, 15.5, 35.8], [66, 15.6, 35.8], [67, 15.6, 35.9], [68, 15.6, 36.0], [69, 15.6, 36.0], [70, 15.6, 36.1], [71, 15.6, 36.2], [72, 15.6, 36.2], [73, 15.5, 36.3]])\n",
    "# Las incertidumbres en tiempo no existen, pero para temperaturas es 0.1\n",
    "\n",
    "epsilon_primer_set_en_abierto = 1.088   #V\n",
    "\n",
    "# Matriz tipo [I, V] con unidades [miliamperios, milivoltios]\n",
    "epsilon_primer_set_en_cerrado = np.array([[162.2, 268.3], [152.2, 315.8], [142.5, 363], [132.4, 413], [121.9, 464], [111.1, 517], [101.0, 568], [86.4, 642], [60.3, 773], [50.1, 826]])\n",
    "incertidumbre_epsilon_primer_set_en_cerrado = np.array([[0.1, 0.1], [0.1, 0.1], [0.1, 1], [0.1, 1], [0.1, 1], [0.1, 1], [0.1, 1], [0.1, 1], [0.1, 1], [0.1, 1]])\n",
    "\n",
    "#------------------------------------------------------------\n",
    "# SEGUNDO SET\n",
    "tension_segundo_set = 150.1\n",
    "\n",
    "segundo_set_seebeck = np.array([[0, 15.6, 36.8], [1, 15.6, 37.2], [2, 15.7, 37.6], [3, 15.7, 38.0], [4, 15.7, 38.4], [5, 15.7, 38.8], [6, 15.7, 39.1], [7, 15.7, 39.4], [8, 15.7, 39.7], [9, 15.7, 40.0], [10, 15.8, 40.2], [11, 15.8, 40.5], [12, 15.8, 40.8], [13, 15.9, 41.1], [14, 15.9, 41.3], [15, 15.9, 41.5], [16, 15.9, 41.8], [17, 15.9, 42.0], [18, 16.0, 42.2], [19, 16.0, 42.4], [20, 16.0, 42.6], [21, 16.0, 42.8], [22, 16.0, 43.0], [23, 16.0, 43.1], [24, 16.0, 43.3], [25, 16.0, 43.4], [26, 16.0, 43.6], [27, 16.1, 43.8], [28, 16.1, 43.9], [29, 16.1, 44.1], [30, 16.1, 44.2], [31, 16.1, 44.4], [32, 16.1, 44.5], [33, 16.1, 44.6], [34, 16.0, 44.7], [35, 16.0, 44.8], [36, 16.1, 45.0], [37, 16.1, 45.1], [38, 16.1, 45.2], [39, 16.1, 45.3], [40, 16.1, 45.4], [41, 16.1, 45.5], [42, 16.1, 45.6], [43, 16.1, 45.7], [44, 16.2, 45.8], [45, 16.2, 45.9], [46, 16.2, 46.0], [47, 16.2, 46.1], [48, 16.2, 46.1], [49, 16.2, 46.2], [50, 16.2, 46.2], [51, 16.2, 46.3], [52, 16.2, 46.4], [53, 16.2, 46.4], [54, 16.2, 46.5], [55, 16.3, 46.5]])\n",
    "# Las incertidumbres en tiempo no existen, pero para temperaturas es 0.1\n",
    "\n",
    "epsilon_segundo_set_en_abierto = 1.520   #V\n",
    "\n",
    "# Matriz tipo [I, V] con unidades [miliamperios, milivoltios]\n",
    "# Este ultimo tuvimos cortocircuito y fusible roto asi que los datos son muy desconfiables y erroneos pero los añadiremos igual\n",
    "epsilon_segundo_set_en_cerrado = np.array([[209.3, 293], [176.5, 426], [158.1, 503], [132.4, 598], [117.0, 668], [100.5, 743], [90.9, 784], [84.8, 808], [75.9, 842], [67.2, 877], [56.1, 883]])\n",
    "incertidumbre_epsilon_segundo_set_en_cerrado = np.array([[0.1, 1], [0.1, 1], [0.1, 1], [0.1, 1], [0.1, 1], [0.1, 1], [0.1, 1], [0.1, 1], [0.1, 1], [0.1, 1], [0.1, 1]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\\begin{longtable}{cccc}\n",
      "    \\caption{Evolución de temperatura con el tiempo para el primer set.} \\\\\n",
      "    \\toprule\n",
      "    Tiempo (min) & $T_1$ (°C) & $T_2$ (°C) & \\textbf{Incertidumbre} \\\\\n",
      "\\midrule\n",
      "    \\endfirsthead\n",
      "\n",
      "    \\multicolumn{4}{c}{\\tablename\\ \\thetable{} -- continuación} \\\\\n",
      "    \\toprule\n",
      "    Tiempo (min) & $T_1$ (°C) & $T_2$ (°C) & \\textbf{Incertidumbre} \\\\\n",
      "\\midrule\n",
      "    \\endhead\n",
      "\n",
      "    \\bottomrule\n",
      "    \\endfoot\n",
      "        0.0 & 14.6 & 21.0 & 0.1 \\\\\n",
      "    1.0 & 14.5 & 21.3 & 0.1 \\\\\n",
      "    2.0 & 14.6 & 21.9 & 0.1 \\\\\n",
      "    3.0 & 14.6 & 22.5 & 0.1 \\\\\n",
      "    4.0 & 14.6 & 23.1 & 0.1 \\\\\n",
      "    5.0 & 14.6 & 23.6 & 0.1 \\\\\n",
      "    6.0 & 14.6 & 24.1 & 0.1 \\\\\n",
      "    7.0 & 14.7 & 24.6 & 0.1 \\\\\n",
      "    8.0 & 14.7 & 25.1 & 0.1 \\\\\n",
      "    9.0 & 14.7 & 25.5 & 0.1 \\\\\n",
      "    10.0 & 14.8 & 25.9 & 0.1 \\\\\n",
      "    11.0 & 14.8 & 26.3 & 0.1 \\\\\n",
      "    12.0 & 14.8 & 26.7 & 0.1 \\\\\n",
      "    13.0 & 14.8 & 27.1 & 0.1 \\\\\n",
      "    14.0 & 14.8 & 27.5 & 0.1 \\\\\n",
      "    15.0 & 14.9 & 27.8 & 0.1 \\\\\n",
      "    16.0 & 14.9 & 28.2 & 0.1 \\\\\n",
      "    17.0 & 14.9 & 28.5 & 0.1 \\\\\n",
      "    18.0 & 15.0 & 28.8 & 0.1 \\\\\n",
      "    19.0 & 15.0 & 29.1 & 0.1 \\\\\n",
      "    20.0 & 15.0 & 29.4 & 0.1 \\\\\n",
      "    21.0 & 15.0 & 29.7 & 0.1 \\\\\n",
      "    22.0 & 15.0 & 29.9 & 0.1 \\\\\n",
      "    23.0 & 15.0 & 30.2 & 0.1 \\\\\n",
      "    24.0 & 15.1 & 30.4 & 0.1 \\\\\n",
      "    25.0 & 15.1 & 30.7 & 0.1 \\\\\n",
      "    26.0 & 15.1 & 30.9 & 0.1 \\\\\n",
      "    27.0 & 15.1 & 31.2 & 0.1 \\\\\n",
      "    28.0 & 15.2 & 31.4 & 0.1 \\\\\n",
      "    29.0 & 15.2 & 31.6 & 0.1 \\\\\n",
      "    30.0 & 15.2 & 31.8 & 0.1 \\\\\n",
      "    31.0 & 15.2 & 32.0 & 0.1 \\\\\n",
      "    32.0 & 15.2 & 32.2 & 0.1 \\\\\n",
      "    33.0 & 15.2 & 32.4 & 0.1 \\\\\n",
      "    34.0 & 15.2 & 32.6 & 0.1 \\\\\n",
      "    35.0 & 15.3 & 32.7 & 0.1 \\\\\n",
      "    36.0 & 15.3 & 32.9 & 0.1 \\\\\n",
      "    37.0 & 15.3 & 33.1 & 0.1 \\\\\n",
      "    38.0 & 15.3 & 33.2 & 0.1 \\\\\n",
      "    39.0 & 15.3 & 33.4 & 0.1 \\\\\n",
      "    40.0 & 15.3 & 33.5 & 0.1 \\\\\n",
      "    41.0 & 15.3 & 33.6 & 0.1 \\\\\n",
      "    42.0 & 15.3 & 33.7 & 0.1 \\\\\n",
      "    43.0 & 15.3 & 33.8 & 0.1 \\\\\n",
      "    44.0 & 15.3 & 34.0 & 0.1 \\\\\n",
      "    45.0 & 15.3 & 34.1 & 0.1 \\\\\n",
      "    46.0 & 15.3 & 34.2 & 0.1 \\\\\n",
      "    47.0 & 15.4 & 34.3 & 0.1 \\\\\n",
      "    48.0 & 15.4 & 34.4 & 0.1 \\\\\n",
      "    49.0 & 15.4 & 34.5 & 0.1 \\\\\n",
      "    50.0 & 15.4 & 34.6 & 0.1 \\\\\n",
      "    51.0 & 15.4 & 34.7 & 0.1 \\\\\n",
      "    52.0 & 15.4 & 34.8 & 0.1 \\\\\n",
      "    53.0 & 15.4 & 34.9 & 0.1 \\\\\n",
      "    54.0 & 15.5 & 35.0 & 0.1 \\\\\n",
      "    55.0 & 15.5 & 35.1 & 0.1 \\\\\n",
      "    56.0 & 15.5 & 35.2 & 0.1 \\\\\n",
      "    57.0 & 15.5 & 35.2 & 0.1 \\\\\n",
      "    58.0 & 15.5 & 35.3 & 0.1 \\\\\n",
      "    59.0 & 15.5 & 35.4 & 0.1 \\\\\n",
      "    60.0 & 15.5 & 35.5 & 0.1 \\\\\n",
      "    61.0 & 15.5 & 35.5 & 0.1 \\\\\n",
      "    62.0 & 15.5 & 35.6 & 0.1 \\\\\n",
      "    63.0 & 15.5 & 35.7 & 0.1 \\\\\n",
      "    64.0 & 15.5 & 35.7 & 0.1 \\\\\n",
      "    65.0 & 15.5 & 35.8 & 0.1 \\\\\n",
      "    66.0 & 15.6 & 35.8 & 0.1 \\\\\n",
      "    67.0 & 15.6 & 35.9 & 0.1 \\\\\n",
      "    68.0 & 15.6 & 36.0 & 0.1 \\\\\n",
      "    69.0 & 15.6 & 36.0 & 0.1 \\\\\n",
      "    70.0 & 15.6 & 36.1 & 0.1 \\\\\n",
      "    71.0 & 15.6 & 36.2 & 0.1 \\\\\n",
      "    72.0 & 15.6 & 36.2 & 0.1 \\\\\n",
      "    73.0 & 15.5 & 36.3 & 0.1 \\\\\n",
      "\\end{longtable}\n",
      "\n",
      "\n",
      "\\begin{longtable}{cccc}\n",
      "    \\caption{Evolución de temperatura con el tiempo para el segundo set.} \\\\\n",
      "    \\toprule\n",
      "    Tiempo (min) & $T_1$ (°C) & $T_2$ (°C) & \\textbf{Incertidumbre} \\\\\n",
      "\\midrule\n",
      "    \\endfirsthead\n",
      "\n",
      "    \\multicolumn{4}{c}{\\tablename\\ \\thetable{} -- continuación} \\\\\n",
      "    \\toprule\n",
      "    Tiempo (min) & $T_1$ (°C) & $T_2$ (°C) & \\textbf{Incertidumbre} \\\\\n",
      "\\midrule\n",
      "    \\endhead\n",
      "\n",
      "    \\bottomrule\n",
      "    \\endfoot\n",
      "        0.0 & 15.6 & 36.8 & 0.1 \\\\\n",
      "    1.0 & 15.6 & 37.2 & 0.1 \\\\\n",
      "    2.0 & 15.7 & 37.6 & 0.1 \\\\\n",
      "    3.0 & 15.7 & 38.0 & 0.1 \\\\\n",
      "    4.0 & 15.7 & 38.4 & 0.1 \\\\\n",
      "    5.0 & 15.7 & 38.8 & 0.1 \\\\\n",
      "    6.0 & 15.7 & 39.1 & 0.1 \\\\\n",
      "    7.0 & 15.7 & 39.4 & 0.1 \\\\\n",
      "    8.0 & 15.7 & 39.7 & 0.1 \\\\\n",
      "    9.0 & 15.7 & 40.0 & 0.1 \\\\\n",
      "    10.0 & 15.8 & 40.2 & 0.1 \\\\\n",
      "    11.0 & 15.8 & 40.5 & 0.1 \\\\\n",
      "    12.0 & 15.8 & 40.8 & 0.1 \\\\\n",
      "    13.0 & 15.9 & 41.1 & 0.1 \\\\\n",
      "    14.0 & 15.9 & 41.3 & 0.1 \\\\\n",
      "    15.0 & 15.9 & 41.5 & 0.1 \\\\\n",
      "    16.0 & 15.9 & 41.8 & 0.1 \\\\\n",
      "    17.0 & 15.9 & 42.0 & 0.1 \\\\\n",
      "    18.0 & 16.0 & 42.2 & 0.1 \\\\\n",
      "    19.0 & 16.0 & 42.4 & 0.1 \\\\\n",
      "    20.0 & 16.0 & 42.6 & 0.1 \\\\\n",
      "    21.0 & 16.0 & 42.8 & 0.1 \\\\\n",
      "    22.0 & 16.0 & 43.0 & 0.1 \\\\\n",
      "    23.0 & 16.0 & 43.1 & 0.1 \\\\\n",
      "    24.0 & 16.0 & 43.3 & 0.1 \\\\\n",
      "    25.0 & 16.0 & 43.4 & 0.1 \\\\\n",
      "    26.0 & 16.0 & 43.6 & 0.1 \\\\\n",
      "    27.0 & 16.1 & 43.8 & 0.1 \\\\\n",
      "    28.0 & 16.1 & 43.9 & 0.1 \\\\\n",
      "    29.0 & 16.1 & 44.1 & 0.1 \\\\\n",
      "    30.0 & 16.1 & 44.2 & 0.1 \\\\\n",
      "    31.0 & 16.1 & 44.4 & 0.1 \\\\\n",
      "    32.0 & 16.1 & 44.5 & 0.1 \\\\\n",
      "    33.0 & 16.1 & 44.6 & 0.1 \\\\\n",
      "    34.0 & 16.0 & 44.7 & 0.1 \\\\\n",
      "    35.0 & 16.0 & 44.8 & 0.1 \\\\\n",
      "    36.0 & 16.1 & 45.0 & 0.1 \\\\\n",
      "    37.0 & 16.1 & 45.1 & 0.1 \\\\\n",
      "    38.0 & 16.1 & 45.2 & 0.1 \\\\\n",
      "    39.0 & 16.1 & 45.3 & 0.1 \\\\\n",
      "    40.0 & 16.1 & 45.4 & 0.1 \\\\\n",
      "    41.0 & 16.1 & 45.5 & 0.1 \\\\\n",
      "    42.0 & 16.1 & 45.6 & 0.1 \\\\\n",
      "    43.0 & 16.1 & 45.7 & 0.1 \\\\\n",
      "    44.0 & 16.2 & 45.8 & 0.1 \\\\\n",
      "    45.0 & 16.2 & 45.9 & 0.1 \\\\\n",
      "    46.0 & 16.2 & 46.0 & 0.1 \\\\\n",
      "    47.0 & 16.2 & 46.1 & 0.1 \\\\\n",
      "    48.0 & 16.2 & 46.1 & 0.1 \\\\\n",
      "    49.0 & 16.2 & 46.2 & 0.1 \\\\\n",
      "    50.0 & 16.2 & 46.2 & 0.1 \\\\\n",
      "    51.0 & 16.2 & 46.3 & 0.1 \\\\\n",
      "    52.0 & 16.2 & 46.4 & 0.1 \\\\\n",
      "    53.0 & 16.2 & 46.4 & 0.1 \\\\\n",
      "    54.0 & 16.2 & 46.5 & 0.1 \\\\\n",
      "    55.0 & 16.3 & 46.5 & 0.1 \\\\\n",
      "\\end{longtable}\n",
      "\n",
      "\n",
      "\\begin{longtable}{ccc}\n",
      "    \\caption{Valores de corriente y voltaje para el primer set en circuito cerrado.} \\\\\n",
      "    \\toprule\n",
      "    $I$ (mA) & $V$ (mV) & \\textbf{Incertidumbre} \\\\\n",
      "\\midrule\n",
      "    \\endfirsthead\n",
      "\n",
      "    \\multicolumn{3}{c}{\\tablename\\ \\thetable{} -- continuación} \\\\\n",
      "    \\toprule\n",
      "    $I$ (mA) & $V$ (mV) & \\textbf{Incertidumbre} \\\\\n",
      "\\midrule\n",
      "    \\endhead\n",
      "\n",
      "    \\bottomrule\n",
      "    \\endfoot\n",
      "        162.2 & 268.3 & 0.1 \\\\\n",
      "    152.2 & 315.8 & 0.1 \\\\\n",
      "    142.5 & 363.0 & 1.0 \\\\\n",
      "    132.4 & 413.0 & 1.0 \\\\\n",
      "    121.9 & 464.0 & 1.0 \\\\\n",
      "    111.1 & 517.0 & 1.0 \\\\\n",
      "    101.0 & 568.0 & 1.0 \\\\\n",
      "    86.4 & 642.0 & 1.0 \\\\\n",
      "    60.3 & 773.0 & 1.0 \\\\\n",
      "    50.1 & 826.0 & 1.0 \\\\\n",
      "\\end{longtable}\n",
      "\n",
      "\n",
      "\\begin{longtable}{ccc}\n",
      "    \\caption{Valores de corriente y voltaje para el segundo set en circuito cerrado.} \\\\\n",
      "    \\toprule\n",
      "    $I$ (mA) & $V$ (mV) & \\textbf{Incertidumbre} \\\\\n",
      "\\midrule\n",
      "    \\endfirsthead\n",
      "\n",
      "    \\multicolumn{3}{c}{\\tablename\\ \\thetable{} -- continuación} \\\\\n",
      "    \\toprule\n",
      "    $I$ (mA) & $V$ (mV) & \\textbf{Incertidumbre} \\\\\n",
      "\\midrule\n",
      "    \\endhead\n",
      "\n",
      "    \\bottomrule\n",
      "    \\endfoot\n",
      "        209.3 & 293.0 & 1.0 \\\\\n",
      "    176.5 & 426.0 & 1.0 \\\\\n",
      "    158.1 & 503.0 & 1.0 \\\\\n",
      "    132.4 & 598.0 & 1.0 \\\\\n",
      "    117.0 & 668.0 & 1.0 \\\\\n",
      "    100.5 & 743.0 & 1.0 \\\\\n",
      "    90.9 & 784.0 & 1.0 \\\\\n",
      "    84.8 & 808.0 & 1.0 \\\\\n",
      "    75.9 & 842.0 & 1.0 \\\\\n",
      "    67.2 & 877.0 & 1.0 \\\\\n",
      "    56.1 & 883.0 & 1.0 \\\\\n",
      "\\end{longtable}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "def generar_tabla_latex(datos, titulo, encabezado, incertidumbre=None):\n",
    "    \"\"\"\n",
    "    Genera una tabla en formato LaTeX a partir de una matriz de datos.\n",
    "    \n",
    "    Parámetros:\n",
    "        datos (np.array): Matriz con los datos a formatear.\n",
    "        titulo (str): Nombre del conjunto de datos.\n",
    "        encabezado (list): Lista con los nombres de las columnas.\n",
    "        incertidumbre (float or list): Valor de la incertidumbre de temperatura (opcional).\n",
    "    \n",
    "    Retorna:\n",
    "        str: Código LaTeX de la tabla.\n",
    "    \"\"\"\n",
    "    num_columnas = len(encabezado)\n",
    "    latex_code = f\"\"\"\n",
    "\\\\begin{{longtable}}{{{'c' * (num_columnas + (1 if incertidumbre is not None else 0))}}}\n",
    "    \\\\caption{{{titulo}}} \\\\\\\\\n",
    "    \\\\toprule\n",
    "    {' & '.join(encabezado)}\"\"\"\n",
    "    \n",
    "    if incertidumbre is not None:\n",
    "        latex_code += \" & \\\\textbf{Incertidumbre} \\\\\\\\\\n\"\n",
    "    else:\n",
    "        latex_code += \" \\\\\\\\\\n\"\n",
    "\n",
    "    latex_code += \"\"\"\\\\midrule\n",
    "    \\\\endfirsthead\n",
    "\n",
    "    \\\\multicolumn{\"\"\" + str(num_columnas + (1 if incertidumbre is not None else 0)) + \"\"\"}{c}{\\\\tablename\\\\ \\\\thetable{} -- continuación} \\\\\\\\\n",
    "    \\\\toprule\n",
    "    \"\"\" + ' & '.join(encabezado)\n",
    "\n",
    "    if incertidumbre is not None:\n",
    "        latex_code += \" & \\\\textbf{Incertidumbre} \\\\\\\\\\n\"\n",
    "    else:\n",
    "        latex_code += \" \\\\\\\\\\n\"\n",
    "\n",
    "    latex_code += \"\"\"\\\\midrule\n",
    "    \\\\endhead\n",
    "\n",
    "    \\\\bottomrule\n",
    "    \\\\endfoot\n",
    "    \"\"\"\n",
    "\n",
    "    for i, fila in enumerate(datos):\n",
    "        latex_code += \"    \" + \" & \".join(map(str, fila))\n",
    "        if incertidumbre is not None:\n",
    "            if isinstance(incertidumbre, (int, float)):\n",
    "                latex_code += f\" & {incertidumbre} \\\\\\\\\\n\"\n",
    "            else:\n",
    "                latex_code += f\" & {incertidumbre[i]} \\\\\\\\\\n\"\n",
    "        else:\n",
    "            latex_code += \" \\\\\\\\\\n\"\n",
    "\n",
    "    latex_code += \"\\\\end{longtable}\\n\"\n",
    "    return latex_code\n",
    "\n",
    "\n",
    "# ======== GENERAR TABLAS ========\n",
    "\n",
    "# Tabla 1: Seebeck - Primer Set\n",
    "titulo_1 = \"Evolución de temperatura con el tiempo para el primer set.\"\n",
    "encabezado_1 = [\"Tiempo (min)\", \"$T_1$ (°C)\", \"$T_2$ (°C)\"]\n",
    "latex_tabla_1 = generar_tabla_latex(primer_set_seebeck, titulo_1, encabezado_1, incertidumbre=0.1)\n",
    "\n",
    "# Tabla 2: Seebeck - Segundo Set\n",
    "titulo_2 = \"Evolución de temperatura con el tiempo para el segundo set.\"\n",
    "encabezado_2 = [\"Tiempo (min)\", \"$T_1$ (°C)\", \"$T_2$ (°C)\"]\n",
    "latex_tabla_2 = generar_tabla_latex(segundo_set_seebeck, titulo_2, encabezado_2, incertidumbre=0.1)\n",
    "\n",
    "# Tabla 3: Epsilon en Circuito Cerrado - Primer Set\n",
    "titulo_3 = \"Valores de corriente y voltaje para el primer set en circuito cerrado.\"\n",
    "encabezado_3 = [\"$I$ (mA)\", \"$V$ (mV)\"]\n",
    "latex_tabla_3 = generar_tabla_latex(epsilon_primer_set_en_cerrado, titulo_3, encabezado_3, incertidumbre=incertidumbre_epsilon_primer_set_en_cerrado[:,1])\n",
    "\n",
    "# Tabla 4: Epsilon en Circuito Cerrado - Segundo Set\n",
    "titulo_4 = \"Valores de corriente y voltaje para el segundo set en circuito cerrado.\"\n",
    "encabezado_4 = [\"$I$ (mA)\", \"$V$ (mV)\"]\n",
    "latex_tabla_4 = generar_tabla_latex(epsilon_segundo_set_en_cerrado, titulo_4, encabezado_4, incertidumbre=incertidumbre_epsilon_segundo_set_en_cerrado[:,1])\n",
    "\n",
    "# Imprimir resultados\n",
    "print(latex_tabla_1)\n",
    "print(latex_tabla_2)\n",
    "print(latex_tabla_3)\n",
    "print(latex_tabla_4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Análisis Datos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Teóricamente los pasos que seguiremos serán, en el análisis de datos:\n",
    "\n",
    "\n",
    "\n",
    "1· Calcular resistencia de RC haciendo ajuste de $V=I·R$\n",
    "\n",
    "2· Ajuste de la evolución de la unión caliente $$T_{hot}(t)=T_{\\infty} - (T_{\\infty}-T_0)·e^{\\frac{-t}{\\tau}}$$ con $T_0$ el primera valor y $T_{\\infty}$ el asintótico\n",
    "\n",
    "3· Coeficiente de Seebeck $$S=\\frac{\\epsilon}{\\Delta T}$$\n",
    "\n",
    "4· Ajuste en circuito cerrado: $$V=\\epsilon-r_{internal}·I$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Resistencia RC"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cálculo de resistencia calefactora RC.\n",
    "\n",
    "$$R=800.26\\pm 0.13\\space \\Omega$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'curve_fit' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[47], line 18\u001b[0m\n\u001b[0;32m     15\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m R \u001b[38;5;241m*\u001b[39m I\n\u001b[0;32m     17\u001b[0m \u001b[38;5;66;03m# Realizamos el ajuste usando curve_fit y usamos sigma para ponderar\u001b[39;00m\n\u001b[1;32m---> 18\u001b[0m popt, pcov \u001b[38;5;241m=\u001b[39m \u001b[43mcurve_fit\u001b[49m(func_lineal, I_data, V_data, sigma\u001b[38;5;241m=\u001b[39msigma_V, absolute_sigma\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[0;32m     19\u001b[0m R_fit \u001b[38;5;241m=\u001b[39m popt[\u001b[38;5;241m0\u001b[39m]\n\u001b[0;32m     20\u001b[0m R_fit_unc \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39msqrt(pcov[\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m0\u001b[39m])\n",
      "\u001b[1;31mNameError\u001b[0m: name 'curve_fit' is not defined"
     ]
    }
   ],
   "source": [
    "from scipy.stats import pearsonr\n",
    "# =============================================================================\n",
    "# 1. Ajuste lineal para el cálculo de la resistencia calefactora (RC)\n",
    "\n",
    "# Convertimos I de mA a A para obtener R en ohmios\n",
    "# =============================================================================\n",
    "\n",
    "\n",
    "V_data = datos_para_rc[:, 0]                   # Voltios\n",
    "I_data = datos_para_rc[:, 1] / 1000.0            # Convertimos mA a A\n",
    "sigma_V = incertidumbres_datos_para_rc[:, 0]     # Incertidumbre en V (tomamos la del voltímetro)\n",
    "\n",
    "# Definimos la función lineal sin término independiente\n",
    "def func_lineal(I, R):\n",
    "    return R * I\n",
    "\n",
    "# Realizamos el ajuste usando curve_fit y usamos sigma para ponderar\n",
    "popt, pcov = curve_fit(func_lineal, I_data, V_data, sigma=sigma_V, absolute_sigma=True)\n",
    "R_fit = popt[0]\n",
    "R_fit_unc = np.sqrt(pcov[0, 0])\n",
    "\n",
    "print(F\"Coeficiente de Pearson, r: {pearsonr(I_data, V_data)[0]:.5f}\")\n",
    "print(f\"Resistencia calefactora: {R_fit:.2f} Ω ± {R_fit_unc:.2f} Ω\")\n",
    "\n",
    "# (Opcional) Para visualizar el ajuste:\n",
    "I_fit = np.linspace(I_data.min(), I_data.max(), 100)\n",
    "plt.errorbar(I_data, V_data, yerr=sigma_V, fmt='o', label='Datos')\n",
    "plt.plot(I_fit, func_lineal(I_fit, R_fit), 'r-', label=f\"Ajuste: R = {R_fit:.2f} Ω\")\n",
    "plt.title(\"Ajuste lineal para la resistencia calefactora, V vs I\")\n",
    "plt.xlabel(\"Intensidad (A)\")\n",
    "plt.ylabel(\"Voltaje (V)\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Primer set de datos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Análisis Primer Set datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<>:102: SyntaxWarning: invalid escape sequence '\\e'\n",
      "<>:102: SyntaxWarning: invalid escape sequence '\\e'\n",
      "C:\\Users\\Lord_Fulgi\\AppData\\Local\\Temp\\ipykernel_15620\\3993046641.py:102: SyntaxWarning: invalid escape sequence '\\e'\n",
      "  plt.title(\"Ajuste de $V = \\epsilon - I·R_i$ (Primer set)\")\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "---- Coeficientes de Correlación de Pearson ----\n",
      "Ajuste de temperatura asintótica (T_hot): r = 0.99991\n",
      "Ajuste circuito cerrado (ε y r_internal): r = 0.99995\n",
      "---- Primer Set de Datos ----\n",
      "T^inf_2 (asintótica) = 37.41 °C ± 0.05 °C\n",
      "τ = 28.03 min ± 0.19 min\n",
      "T_1 (promedio) = 15.54 °C ± 0.01 °C\n",
      "ΔT = 21.88 °C ± 0.05 °C\n",
      "\n",
      "Coeficiente de Seebeck (abierto): S = 0.0497 V/K ± 0.0005 V/K\n",
      "Coeficiente de Seebeck (cerrado): S = 0.0487 V/K ± 0.0001 V/K\n",
      "\n",
      "Ajuste en circuito cerrado: ε = 1.066 V ± 0.001 V, r_internal = 4.925 Ω ± 0.005 Ω\n",
      "\n",
      "Coeficiente de Seebeck por Termopar (abierto): S_termopar = 0.0004 V/K ± 0.0001 V/K\n",
      "Coeficiente de Seebeck por Termopar (cerrado): S_termopar = 0.0003 V/K ± 0.0001 V/K\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.optimize import curve_fit\n",
    "from scipy.stats import pearsonr\n",
    "\n",
    "# --- Primer Set: Extracción de T_hot y T_cold ---\n",
    "# Se asume que primer_set_seebeck ya está definida y tiene columnas:\n",
    "# [tiempo (min), T_cold (°C), T_hot (°C)]\n",
    "# Además, epsilon_primer_set_en_abierto, epsilon_primer_set_en_cerrado y\n",
    "# incertidumbre_epsilon_primer_set_en_cerrado están definidas.\n",
    "\n",
    "# Extraer datos\n",
    "time = primer_set_seebeck[:, 0]       # Tiempo (min)\n",
    "T_cold = primer_set_seebeck[:, 1]       # Temperatura unión fría (°C)\n",
    "T_hot = primer_set_seebeck[:, 2]        # Temperatura unión caliente (°C)\n",
    "sigma_T = 0.1                         # Incertidumbre en temperatura (°C)\n",
    "\n",
    "# Ajuste exponencial para T_hot:\n",
    "# Modelo: T_hot(t) = T_inf - (T_inf - T0)*exp(-t/tau)\n",
    "T0 = T_hot[0]  # Valor inicial de T_hot\n",
    "def exp_func(t, T_inf, tau):\n",
    "    return T_inf - (T_inf - T0) * np.exp(-t / tau)\n",
    "\n",
    "# Ajuste ponderado (usamos sigma constante = 0.1°C para cada punto)\n",
    "popt_exp, pcov_exp = curve_fit(exp_func, time, T_hot,\n",
    "                               sigma=np.full_like(time, sigma_T),\n",
    "                               absolute_sigma=True)\n",
    "T_inf = popt_exp[0]\n",
    "tau = popt_exp[1]\n",
    "T_inf_unc = np.sqrt(pcov_exp[0, 0])\n",
    "tau_unc = np.sqrt(pcov_exp[1, 1])\n",
    "\n",
    "# Para T_cold se toma la media (si los datos muestran estabilidad, alternativamente\n",
    "# se podría calcular la media solo de los últimos valores)\n",
    "n = 20 # Los ultimos valores con los uqe calcular la media\n",
    "T_cold_mean = np.mean(T_cold[-n:])\n",
    "T_cold_unc = sigma_T / np.sqrt(len(T_cold))  # Incertidumbre del promedio\n",
    "\n",
    "# --- Gráfica conjunta de T_hot y T_cold ---\n",
    "t_fit = np.linspace(time.min(), time.max(), 300)\n",
    "\n",
    "plt.figure(figsize=(8, 6))\n",
    "# Datos T_hot con barras de error (círculos azules)\n",
    "plt.errorbar(time, T_hot, yerr=sigma_T, fmt='o', markersize=5, color='blue', label='T_2 (datos)')\n",
    "# Línea del ajuste exponencial (T_hot)\n",
    "plt.plot(t_fit, exp_func(t_fit, T_inf, tau), 'r-', linewidth=3, label='Ajuste T_2')\n",
    "# Datos T_cold con barras de error (cuadrados verdes)\n",
    "plt.errorbar(time, T_cold, yerr=sigma_T, fmt='s', markersize=5, color='green', label='T_1 (datos)')\n",
    "# Línea horizontal de T_cold promedio\n",
    "plt.axhline(T_cold_mean, color='green', linestyle='--', linewidth=2, label=f'T_1 promedio = {T_cold_mean:.2f} °C')\n",
    "# Línea horizontal de T_inf (temperatura asintótica)\n",
    "plt.axhline(T_inf, color='magenta', linestyle='--', linewidth=2, label=f'T^{infty}_2 (asintótica) = {T_inf:.2f} °C')\n",
    "\n",
    "plt.xlabel(\"Tiempo (min)\")\n",
    "plt.ylabel(\"Temperatura (°C)\")\n",
    "plt.title(\"Evolución de $T_2$ y $T_1$ (Primer set)\")\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "\n",
    "# --- Cálculo del coeficiente de Seebeck ---\n",
    "\n",
    "# Se define ΔT = T_inf - T_cold_mean y se calcula la incertidumbre propagada\n",
    "delta_T = T_inf - T_cold_mean\n",
    "delta_T_unc = np.sqrt(T_inf_unc**2 + T_cold_unc**2)\n",
    "\n",
    "# Coeficiente de Seebeck con medición en circuito abierto:\n",
    "# S_open = ε_open / ΔT, donde epsilon_primer_set_en_abierto está en V.\n",
    "sigma_epsilon_open = 0.01  # Incertidumbre asumida para ε (V)\n",
    "S_open = epsilon_primer_set_en_abierto / delta_T\n",
    "S_open_unc = np.sqrt((sigma_epsilon_open / delta_T)**2 +\n",
    "                     ((epsilon_primer_set_en_abierto * delta_T_unc) / (delta_T**2))**2)\n",
    "\n",
    "# Ajuste en circuito cerrado:\n",
    "# Los datos epsilon_primer_set_en_cerrado tienen columnas [I (mA), V (mV)]\n",
    "data_cerrado = epsilon_primer_set_en_cerrado\n",
    "I_cerrado = data_cerrado[:, 0] / 1000.0   # Convertir mA a A\n",
    "V_cerrado = data_cerrado[:, 1] / 1000.0     # Convertir mV a V\n",
    "# Incertidumbre en V (convertida de mV a V)\n",
    "sigma_V_cerrado = incertidumbre_epsilon_primer_set_en_cerrado[:, 1] / 1000.0\n",
    "\n",
    "# Modelo para el ajuste en cerrado: V = ε_closed - r_internal * I\n",
    "def modelo_cerrado(I, epsilon_fit, r_internal):\n",
    "    return epsilon_fit - r_internal * I\n",
    "\n",
    "popt_cerrado, pcov_cerrado = curve_fit(modelo_cerrado, I_cerrado, V_cerrado,\n",
    "                                       sigma=sigma_V_cerrado, absolute_sigma=True)\n",
    "epsilon_closed, r_internal = popt_cerrado\n",
    "epsilon_closed_unc, r_internal_unc = np.sqrt(np.diag(pcov_cerrado))\n",
    "\n",
    "# --- Cálculo del coeficiente de Pearson para el ajuste ---\n",
    "r_pearson_cerrado, _ = pearsonr(I_cerrado, V_cerrado)\n",
    "\n",
    "# --- Gráfica del ajuste en circuito cerrado ---\n",
    "I_fit = np.linspace(I_cerrado.min(), I_cerrado.max(), 100)\n",
    "\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.errorbar(I_cerrado, V_cerrado, yerr=sigma_V_cerrado, fmt='o', label='Datos', color='blue')\n",
    "plt.plot(I_fit, modelo_cerrado(I_fit, *popt_cerrado), 'r-', label=f'Ajuste: V = {epsilon_closed:.3f} - {r_internal:.3f} I')\n",
    "plt.xlabel(\"Intensidad (A)\")\n",
    "plt.ylabel(\"Voltaje (V)\")\n",
    "plt.title(\"Ajuste de $V = \\epsilon - I·R_i$ (Primer set)\")\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "\n",
    "# --- Cálculo del coeficiente de Pearson para el ajuste exponencial de T_hot ---\n",
    "T_hot_fit = exp_func(time, *popt_exp)  # Valores ajustados\n",
    "\n",
    "r_pearson_temp, _ = pearsonr(time, T_hot)  # Relación tiempo - temperatura medida\n",
    "r_pearson_ajuste, _ = pearsonr(T_hot, T_hot_fit)  # Relación datos vs ajuste\n",
    "\n",
    "# --- Impresión de resultados ---\n",
    "print(\"\\n---- Coeficientes de Correlación de Pearson ----\")\n",
    "print(f\"Ajuste de temperatura asintótica (T_hot): r = {r_pearson_ajuste:.5f}\")\n",
    "print(f\"Ajuste circuito cerrado (ε y r_internal): r = {abs(r_pearson_cerrado):.5f}\")\n",
    "\n",
    "# Coeficiente de Seebeck a partir de la medición en circuito cerrado:\n",
    "S_closed = epsilon_closed / delta_T\n",
    "S_closed_unc = np.sqrt((epsilon_closed_unc / delta_T)**2 +\n",
    "                       ((epsilon_closed * delta_T_unc) / (delta_T**2))**2)\n",
    "\n",
    "# Impresión de resultados\n",
    "print(\"---- Primer Set de Datos ----\")\n",
    "print(f\"T^inf_2 (asintótica) = {T_inf:.2f} °C ± {T_inf_unc:.2f} °C\")\n",
    "print(f\"τ = {tau:.2f} min ± {tau_unc:.2f} min\")\n",
    "print(f\"T_1 (promedio) = {T_cold_mean:.2f} °C ± {T_cold_unc:.2f} °C\")\n",
    "print(f\"ΔT = {delta_T:.2f} °C ± {delta_T_unc:.2f} °C\\n\")\n",
    "print(f\"Coeficiente de Seebeck (abierto): S = {S_open:.4f} V/K ± {S_open_unc:.4f} V/K\")\n",
    "print(f\"Coeficiente de Seebeck (cerrado): S = {S_closed:.4f} V/K ± {S_closed_unc:.4f} V/K\\n\")\n",
    "print(f\"Ajuste en circuito cerrado: ε = {epsilon_closed:.3f} V ± {epsilon_closed_unc:.3f} V, r_internal = {r_internal:.3f} Ω ± {r_internal_unc:.3f} Ω\\n\")\n",
    "\n",
    "n_termopares = 142\n",
    "print(f\"Coeficiente de Seebeck por Termopar (abierto): S_termopar = {(S_open/n_termopares):.4f} V/K ± 0.0001 V/K\")\n",
    "print(f\"Coeficiente de Seebeck por Termopar (cerrado): S_termopar = {(S_closed/n_termopares):.4f} V/K ± 0.0001 V/K\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Segundo set de Datos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Análisis segundo set de Datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<>:102: SyntaxWarning: invalid escape sequence '\\e'\n",
      "<>:102: SyntaxWarning: invalid escape sequence '\\e'\n",
      "C:\\Users\\Lord_Fulgi\\AppData\\Local\\Temp\\ipykernel_15620\\3508584804.py:102: SyntaxWarning: invalid escape sequence '\\e'\n",
      "  plt.title(\"Ajuste de $V = \\epsilon - I·R_i$ (Segundo set)\")\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "---- Coeficientes de Correlación de Pearson ----\n",
      "Ajuste de temperatura asintótica (T_hot): r = 0.99986\n",
      "Ajuste circuito cerrado (ε y r_internal): r = 0.99816\n",
      "---- Primer Set de Datos ----\n",
      "T^inf_2 (asintótica) = 48.06 °C ± 0.08 °C\n",
      "τ = 27.62 min ± 0.40 min\n",
      "T_1 (promedio) = 16.16 °C ± 0.01 °C\n",
      "ΔT = 31.90 °C ± 0.08 °C\n",
      "\n",
      "Coeficiente de Seebeck (abierto): S = 0.0477 V/K ± 0.0003 V/K\n",
      "Coeficiente de Seebeck (cerrado): S = 0.0358 V/K ± 0.0001 V/K\n",
      "\n",
      "Ajuste en circuito cerrado: ε = 1.141 V ± 0.001 V, r_internal = 4.037 Ω ± 0.006 Ω\n",
      "\n",
      "Coeficiente de Seebeck por Termopar (abierto): S_termopar = 0.0003 V/K ± 0.0001 V/K\n",
      "Coeficiente de Seebeck por Termopar (cerrado): S_termopar = 0.0003 V/K ± 0.0001 V/K\n"
     ]
    }
   ],
   "source": [
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.optimize import curve_fit\n",
    "from scipy.stats import pearsonr\n",
    "\n",
    "# --- Primer Set: Extracción de T_hot y T_cold ---\n",
    "# Se asume que primer_set_seebeck ya está definida y tiene columnas:\n",
    "# [tiempo (min), T_cold (°C), T_hot (°C)]\n",
    "# Además, epsilon_primer_set_en_abierto, epsilon_primer_set_en_cerrado y\n",
    "# incertidumbre_epsilon_primer_set_en_cerrado están definidas.\n",
    "\n",
    "# Extraer datos\n",
    "time = segundo_set_seebeck[:, 0]       # Tiempo (min)\n",
    "T_cold = segundo_set_seebeck[:, 1]       # Temperatura unión fría (°C)\n",
    "T_hot = segundo_set_seebeck[:, 2]        # Temperatura unión caliente (°C)\n",
    "sigma_T = 0.1                         # Incertidumbre en temperatura (°C)\n",
    "\n",
    "# Ajuste exponencial para T_hot:\n",
    "# Modelo: T_hot(t) = T_inf - (T_inf - T0)*exp(-t/tau)\n",
    "T0 = T_hot[0]  # Valor inicial de T_hot\n",
    "def exp_func(t, T_inf, tau):\n",
    "    return T_inf - (T_inf - T0) * np.exp(-t / tau)\n",
    "\n",
    "# Ajuste ponderado (usamos sigma constante = 0.1°C para cada punto)\n",
    "popt_exp, pcov_exp = curve_fit(exp_func, time, T_hot,\n",
    "                               sigma=np.full_like(time, sigma_T),\n",
    "                               absolute_sigma=True)\n",
    "T_inf = popt_exp[0]\n",
    "tau = popt_exp[1]\n",
    "T_inf_unc = np.sqrt(pcov_exp[0, 0])\n",
    "tau_unc = np.sqrt(pcov_exp[1, 1])\n",
    "\n",
    "# Para T_cold se toma la media (si los datos muestran estabilidad, alternativamente\n",
    "# se podría calcular la media solo de los últimos valores)\n",
    "n = 20 # Los ultimos valores con los uqe calcular la media\n",
    "T_cold_mean = np.mean(T_cold[-n:])\n",
    "T_cold_unc = sigma_T / np.sqrt(len(T_cold))  # Incertidumbre del promedio\n",
    "\n",
    "# --- Gráfica conjunta de T_hot y T_cold ---\n",
    "t_fit = np.linspace(time.min(), time.max(), 300)\n",
    "\n",
    "plt.figure(figsize=(8, 6))\n",
    "# Datos T_hot con barras de error (círculos azules)\n",
    "plt.errorbar(time, T_hot, yerr=sigma_T, fmt='o', markersize=5, color='blue', label='T_2 (datos)')\n",
    "# Línea del ajuste exponencial (T_hot)\n",
    "plt.plot(t_fit, exp_func(t_fit, T_inf, tau), 'r-', linewidth=3, label='Ajuste T_2')\n",
    "# Datos T_cold con barras de error (cuadrados verdes)\n",
    "plt.errorbar(time, T_cold, yerr=sigma_T, fmt='s', markersize=5, color='green', label='T_1 (datos)')\n",
    "# Línea horizontal de T_cold promedio\n",
    "plt.axhline(T_cold_mean, color='green', linestyle='--', linewidth=2, label=f'T_1 promedio = {T_cold_mean:.2f} °C')\n",
    "# Línea horizontal de T_inf (temperatura asintótica)\n",
    "plt.axhline(T_inf, color='magenta', linestyle='--', linewidth=2, label=f'T^{infty}_2 (asintótica) = {T_inf:.2f} °C')\n",
    "\n",
    "plt.xlabel(\"Tiempo (min)\")\n",
    "plt.ylabel(\"Temperatura (°C)\")\n",
    "plt.title(\"Evolución de $T_2$ y $T_1$ (Segundo set)\")\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "\n",
    "# --- Cálculo del coeficiente de Seebeck ---\n",
    "\n",
    "# Se define ΔT = T_inf - T_cold_mean y se calcula la incertidumbre propagada\n",
    "delta_T = T_inf - T_cold_mean\n",
    "delta_T_unc = np.sqrt(T_inf_unc**2 + T_cold_unc**2)\n",
    "\n",
    "# Coeficiente de Seebeck con medición en circuito abierto:\n",
    "# S_open = ε_open / ΔT, donde epsilon_primer_set_en_abierto está en V.\n",
    "sigma_epsilon_open = 0.01  # Incertidumbre asumida para ε (V)\n",
    "S_open = epsilon_segundo_set_en_abierto / delta_T\n",
    "S_open_unc = np.sqrt((sigma_epsilon_open / delta_T)**2 +\n",
    "                     ((epsilon_segundo_set_en_abierto * delta_T_unc) / (delta_T**2))**2)\n",
    "\n",
    "# Ajuste en circuito cerrado:\n",
    "# Los datos epsilon_primer_set_en_cerrado tienen columnas [I (mA), V (mV)]\n",
    "data_cerrado = epsilon_segundo_set_en_cerrado\n",
    "I_cerrado = data_cerrado[:, 0] / 1000.0   # Convertir mA a A\n",
    "V_cerrado = data_cerrado[:, 1] / 1000.0     # Convertir mV a V\n",
    "# Incertidumbre en V (convertida de mV a V)\n",
    "sigma_V_cerrado = incertidumbre_epsilon_segundo_set_en_cerrado[:, 1] / 1000.0\n",
    "\n",
    "# Modelo para el ajuste en cerrado: V = ε_closed - r_internal * I\n",
    "def modelo_cerrado(I, epsilon_fit, r_internal):\n",
    "    return epsilon_fit - r_internal * I\n",
    "\n",
    "popt_cerrado, pcov_cerrado = curve_fit(modelo_cerrado, I_cerrado, V_cerrado,\n",
    "                                       sigma=sigma_V_cerrado, absolute_sigma=True)\n",
    "epsilon_closed, r_internal = popt_cerrado\n",
    "epsilon_closed_unc, r_internal_unc = np.sqrt(np.diag(pcov_cerrado))\n",
    "\n",
    "# --- Cálculo del coeficiente de Pearson para el ajuste ---\n",
    "r_pearson_cerrado, _ = pearsonr(I_cerrado, V_cerrado)\n",
    "\n",
    "# --- Gráfica del ajuste en circuito cerrado ---\n",
    "I_fit = np.linspace(I_cerrado.min(), I_cerrado.max(), 100)\n",
    "\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.errorbar(I_cerrado, V_cerrado, yerr=sigma_V_cerrado, fmt='o', label='Datos', color='blue')\n",
    "plt.plot(I_fit, modelo_cerrado(I_fit, *popt_cerrado), 'r-', label=f'Ajuste: V = {epsilon_closed:.3f} - {r_internal:.3f} I')\n",
    "plt.xlabel(\"Intensidad (A)\")\n",
    "plt.ylabel(\"Voltaje (V)\")\n",
    "plt.title(\"Ajuste de $V = \\epsilon - I·R_i$ (Segundo set)\")\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "\n",
    "# --- Cálculo del coeficiente de Pearson para el ajuste exponencial de T_hot ---\n",
    "T_hot_fit = exp_func(time, *popt_exp)  # Valores ajustados\n",
    "\n",
    "r_pearson_temp, _ = pearsonr(time, T_hot)  # Relación tiempo - temperatura medida\n",
    "r_pearson_ajuste, _ = pearsonr(T_hot, T_hot_fit)  # Relación datos vs ajuste\n",
    "\n",
    "# --- Impresión de resultados ---\n",
    "print(\"\\n---- Coeficientes de Correlación de Pearson ----\")\n",
    "print(f\"Ajuste de temperatura asintótica (T_hot): r = {r_pearson_ajuste:.5f}\")\n",
    "print(f\"Ajuste circuito cerrado (ε y r_internal): r = {abs(r_pearson_cerrado):.5f}\")\n",
    "\n",
    "# Coeficiente de Seebeck a partir de la medición en circuito cerrado:\n",
    "S_closed = epsilon_closed / delta_T\n",
    "S_closed_unc = np.sqrt((epsilon_closed_unc / delta_T)**2 +\n",
    "                       ((epsilon_closed * delta_T_unc) / (delta_T**2))**2)\n",
    "\n",
    "# Impresión de resultados\n",
    "print(\"---- Primer Set de Datos ----\")\n",
    "print(f\"T^inf_2 (asintótica) = {T_inf:.2f} °C ± {T_inf_unc:.2f} °C\")\n",
    "print(f\"τ = {tau:.2f} min ± {tau_unc:.2f} min\")\n",
    "print(f\"T_1 (promedio) = {T_cold_mean:.2f} °C ± {T_cold_unc:.2f} °C\")\n",
    "print(f\"ΔT = {delta_T:.2f} °C ± {delta_T_unc:.2f} °C\\n\")\n",
    "print(f\"Coeficiente de Seebeck (abierto): S = {S_open:.4f} V/K ± {S_open_unc:.4f} V/K\")\n",
    "print(f\"Coeficiente de Seebeck (cerrado): S = {S_closed:.4f} V/K ± {S_closed_unc:.4f} V/K\\n\")\n",
    "print(f\"Ajuste en circuito cerrado: ε = {epsilon_closed:.3f} V ± {epsilon_closed_unc:.3f} V, r_internal = {r_internal:.3f} Ω ± {r_internal_unc:.3f} Ω\\n\")\n",
    "\n",
    "n_termopares = 142\n",
    "print(f\"Coeficiente de Seebeck por Termopar (abierto): S_termopar = {(S_open/n_termopares):.4f} V/K ± 0.0001 V/K\")\n",
    "print(f\"Coeficiente de Seebeck por Termopar (cerrado): S_termopar = {(S_closed/n_termopares):.4f} V/K ± 0.0001 V/K\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### S final"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "S definitivo = 0.048638 ± 0.000093 V/K\n",
      "S definitivo por termopar = 0.34252 ± 0.00066 mV/K\n"
     ]
    }
   ],
   "source": [
    "# Hacemos la media PONDERADA de (0.0497 ± 0.0005 V/K), (0.0487 ± 0.0001 V/K) y (0.0477 ± 0.0003 V/K)\n",
    "# obtenemos así S definitivo\n",
    "\n",
    "# Valores y sus incertidumbres\n",
    "valores = np.array([0.0497, 0.0487, 0.0477])  # V/K\n",
    "incertidumbres = np.array([0.0005, 0.0001, 0.0003])  # V/K\n",
    "\n",
    "# Pesos como el inverso del cuadrado de la incertidumbre\n",
    "pesos = 1 / incertidumbres**2\n",
    "\n",
    "# Media ponderada\n",
    "S_definitivo = np.sum(pesos * valores) / np.sum(pesos)\n",
    "\n",
    "# Incertidumbre de la media ponderada\n",
    "S_definitivo_unc = np.sqrt(1 / np.sum(pesos))\n",
    "\n",
    "# Resultado\n",
    "print(f\"S definitivo = {S_definitivo:.6f} ± {S_definitivo_unc:.6f} V/K\")\n",
    "print(f\"S definitivo por termopar = {S_definitivo*1000 / n_termopares:.5f} ± {S_definitivo_unc*1000 / n_termopares:.5f} mV/K\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Constantes para Peltier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lambda_M (primer calentamiento): 0.8967 W/K\n",
      "Lambda_M (segundo calentamiento): 0.8826 W/K\n",
      "Lambda_M promedio: 0.8896 W/K\n"
     ]
    }
   ],
   "source": [
    "# Valores medidos (del informe o de tu práctica)\n",
    "R_h = 800.26      # Resistencia del calefactor en Ω (medida en Seebeck)\n",
    "\n",
    "# Primer calentamiento:\n",
    "V1 = 125.3     # Voltaje en V (primer calentamiento)\n",
    "deltaT1 = 21.88  # Diferencia de temperatura en K (T_hot - T_cold) del primer calentamiento\n",
    "\n",
    "# Calcular potencia Joule y λₘ para el primer calentamiento\n",
    "P_J1 = V1**2 / R_h\n",
    "lambda_M1 = P_J1 / deltaT1\n",
    "\n",
    "# Segundo calentamiento:\n",
    "V2 = 150.1      # Voltaje en V (segundo calentamiento)\n",
    "deltaT2 = 31.90  # Diferencia de temperatura en K (T_hot - T_cold) del segundo calentamiento\n",
    "\n",
    "# Calcular potencia Joule y λₘ para el segundo calentamiento\n",
    "P_J2 = V2**2 / R_h\n",
    "lambda_M2 = P_J2 / deltaT2\n",
    "\n",
    "# Calcular la media (simple) de λₘ\n",
    "lambda_M = (lambda_M1 + lambda_M2) / 2\n",
    "\n",
    "print(\"Lambda_M (primer calentamiento): {:.4f} W/K\".format(lambda_M1))\n",
    "print(\"Lambda_M (segundo calentamiento): {:.4f} W/K\".format(lambda_M2))\n",
    "print(\"Lambda_M promedio: {:.4f} W/K\".format(lambda_M))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Debido al fallo de laboratorio y como necesiramos r_i del segundo set, que viene del ajuste en cerrado que dio mal por el fusible, suponemos que r_i debe ser igual al del set 1 y usamos ese r_i, con lambda hacemos lo mismo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Valores que usaremos en Peltier:\n",
      "Lambda_M: 0.8896 W/K\n",
      "r_i: 4.925 Ohmios\n"
     ]
    }
   ],
   "source": [
    "print(\"Valores que usaremos en Peltier:\")\n",
    "print(\"Lambda_M: {:.4f} W/K\".format(lambda_M))\n",
    "print(f\"r_i: 4.925 Ohmios\")\n",
    "\n",
    "lambda_M = lambda_M1\n",
    "r_i = 4.925"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Peltier"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Datos tomados en laboratorio"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fijamos voltaje: 150 V\n",
    "\n",
    "Primer set de medidas con intensidad: 0.5 A"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Intensidad = 0.5002 A\n",
    "#Voltaje = 150.3 V\n",
    "\n",
    "\n",
    "# [tiempo (min), T1 (ºC), T2 (ºC)]\n",
    "#Intensidad = 0.5002 A\n",
    "primera_intensidad = np.array([[0, 15.3, 16.1], [1, 15.3, 17.0], [2, 15.3, 18.0], [3, 15.4, 18.9], [4, 15.5, 19.9], [5, 15.6, 20.8], [6, 15.6, 21.6], [7, 15.7, 22.4], [8, 15.7, 23.2], [9, 15.8, 23.9], [10, 15.8 ,24.5], [11, 15.8, 25.1], [12, 15.8, 25.7], [13, 15.9, 26.3], [14, 16.0, 26.9], [15, 16.0, 27.5], [16, 16.0, 27.9], [17, 16.1, 28.4], [18, 16.1, 28.8], [19, 16.2, 29.3], [20, 16.2, 29.8], [21, 16.2, 30.2], [22, 16.2, 30.6], [23, 16.2, 30.9], [24, 16.2, 31.3], [25, 16.3, 31.7], [26, 16.3, 32.0], [27, 16.4, 32.4], [28, 16.4, 32.7], [29, 16.4, 33.0], [30, 16.5, 33.3], [31, 16.5, 33.5], [32, 16.5, 33.9], [33, 16.5, 34.2], [34, 16.6, 34.5], [35, 16.6, 34.8], [36, 16.6, 35.0], [37, 16.6, 35.2], [38, 16.6, 35.5], [39, 16.7, 35.7], [40, 16.7, 35.8], [41, 16.7, 36.1], [42, 16.7, 36.3], [43, 16.7, 36.4], [44, 16.8, 36.6], [45, 16.8, 36.8], [46, 16.8, 37.0], [47, 16.9, 37.1], [48, 16.8, 37.2], [49, 16.9, 37.4], [50, 16.9, 37.5], [51, 16.8, 37.6], [52, 16.9, 37.8], [53, 16.8, 37.9], [54, 16.9, 38.0], [55, 16.9, 38.1], [56, 16.9, 38.2], [57, 16.9, 38.3], [58, 16.9, 38.5], [59, 17.0, 38.6], [60, 17.0, 38.7], [61, 17.0, 38.7], [62, 17.0, 38.8], [63, 17.1, 38.9], [64, 17.1, 39.1], [65, 17.1, 39.1], [66, 17.1, 39.3], [67, 17.1, 39.4], [68, 17.0, 39.5], [69, 17.0, 39.6], [70, 17.0, 39.7], [71, 17.1, 39.7], [72, 17.2, 39.7]])\n",
    "\n",
    "#Intensidad = 1.000 A\n",
    "segunda_intensidad = np.array([[73, 17.3, 39.6], [74, 17.5, 39.3], [75, 17.6, 39.1], [76, 17.6, 38.9], [77, 17.6, 38.8], [78, 17.6, 38.7], [79, 17.6, 38.6], [80, 17.6, 38.5], [81, 17.6, 38.4], [82, 17.5, 38.3], [83, 17.6, 38.2], [84, 17.6, 38.1], [85, 17.6, 38.0], [86, 17.6, 38.0], [87, 17.6, 37.9], [88, 17.6, 37.8], [89, 17.6, 37.8], [90, 17.6, 37.7], [91, 17.6, 37.6]])\n",
    "\n",
    "#Intensidad = 1.500 A\n",
    "tercera_intensidad = np.array([[92, 17.9, 37.3], [93, 18.1, 37.0], [94, 18.2, 36.7], [95, 18.2, 36.5], [96, 18.2, 36.3], [97, 18.2, 36.2], [98, 18.2, 36.0], [99, 18.2, 35.8], [100, 18.2, 35.6], [101, 18.2, 35.5], [102, 18.2, 35.3], [103, 18.2, 35.2], [104, 18.1, 35.1], [105, 18.1, 35.0], [106, 18.1, 34.8], [107, 18.1, 34.7], [108, 18.1, 34.6], [109, 18.1, 34.5], [110, 18.0, 34.4], [111, 18.1, 34.2], [112, 18.1, 34.2], [113, 18.1, 34.1], [114, 18.1, 34.0], [115, 18.1, 33.9], [116, 18.1, 33.8], [117, 18.1, 33.7], [118, 18.0, 33.7], [119, 18.1, 33.6], [120, 18.1, 33.6]])\n",
    "\n",
    "#Intensidad = 2.000 A\n",
    "cuarta_intensidad = np.array([[121, 18.3, 33.3], [122, 18.6, 32.9], [123, 18.7, 32.7], [124, 18.7, 32.5], [125, 18.7, 32.3], [126, 18.7, 32.2], [127, 18.6, 32.0], [128, 18.6, 31.9], [129, 18.6, 31.7], [130, 18.6, 31.6], [131, 18.6, 31.5], [132, 18.6, 31.4], [133, 18.6, 31.3], [134, 18.6, 31.1], [135, 18.6, 31.0], [136, 18.6, 31.0], [137, 18.6, 30.9], [138, 18.6, 30.9], [139, 18.5, 30.7], [140, 18.5, 30.6], [141, 18.6, 30.6], [142, 18.5, 30.5], [143, 18.5, 30.4]])\n",
    "\n",
    "#Intensidad = 2.500 A\n",
    "quinta_intensidad = np.array([[144, 18.8, 30.1], [145, 19.1, 29.9], [146, 19.2, 29.6], [147, 19.2, 29.5], [149, 19.3, 29.1], [150, 19.2, 29.1], [151, 19.2, 29.0], [152, 19.3, 28.9], [153, 19.2, 28.7], [154, 19.2, 28.6], [155, 19.1, 28.5], [156, 19.1, 28.4], [157, 19.2, 28.3], [158, 19.1, 28.2], [159, 19.1, 28.1], [160, 19.2, 28.0], [161, 19.1, 27.9], [162, 19.1, 27.8], [163, 19.1, 27.7], [164, 19.1, 27.6], [165, 19.2, 27.6], [166, 19.1, 27.5], [167, 19.2, 27.5], [168, 19.2, 27.4], [169, 19.3, 27.3], [170, 19.1, 27.3], [171, 19.2, 27.2], [172, 19.2, 27.1], [173, 19.2, 27.0], [174, 19.2, 27.0], [175, 19.2, 27.0]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\\begin{longtable}{cccc}\n",
      "    \\caption{Evolución de temperatura con el tiempo para Intensidad = 0.5002 A.} \\\\\n",
      "    \\toprule\n",
      "    Tiempo (min) & $T_1$ (°C) & $T_2$ (°C) & \\textbf{Incertidumbre} \\\\\n",
      "\\midrule\n",
      "    \\endfirsthead\n",
      "\n",
      "    \\multicolumn{4}{c}{\\tablename\\ \\thetable{} -- continuación} \\\\\n",
      "    \\toprule\n",
      "    Tiempo (min) & $T_1$ (°C) & $T_2$ (°C) & \\textbf{Incertidumbre} \\\\\n",
      "\\midrule\n",
      "    \\endhead\n",
      "\n",
      "    \\bottomrule\n",
      "    \\endfoot\n",
      "        0.0 & 15.3 & 16.1 & 0.1 \\\\\n",
      "    1.0 & 15.3 & 17.0 & 0.1 \\\\\n",
      "    2.0 & 15.3 & 18.0 & 0.1 \\\\\n",
      "    3.0 & 15.4 & 18.9 & 0.1 \\\\\n",
      "    4.0 & 15.5 & 19.9 & 0.1 \\\\\n",
      "    5.0 & 15.6 & 20.8 & 0.1 \\\\\n",
      "    6.0 & 15.6 & 21.6 & 0.1 \\\\\n",
      "    7.0 & 15.7 & 22.4 & 0.1 \\\\\n",
      "    8.0 & 15.7 & 23.2 & 0.1 \\\\\n",
      "    9.0 & 15.8 & 23.9 & 0.1 \\\\\n",
      "    10.0 & 15.8 & 24.5 & 0.1 \\\\\n",
      "    11.0 & 15.8 & 25.1 & 0.1 \\\\\n",
      "    12.0 & 15.8 & 25.7 & 0.1 \\\\\n",
      "    13.0 & 15.9 & 26.3 & 0.1 \\\\\n",
      "    14.0 & 16.0 & 26.9 & 0.1 \\\\\n",
      "    15.0 & 16.0 & 27.5 & 0.1 \\\\\n",
      "    16.0 & 16.0 & 27.9 & 0.1 \\\\\n",
      "    17.0 & 16.1 & 28.4 & 0.1 \\\\\n",
      "    18.0 & 16.1 & 28.8 & 0.1 \\\\\n",
      "    19.0 & 16.2 & 29.3 & 0.1 \\\\\n",
      "    20.0 & 16.2 & 29.8 & 0.1 \\\\\n",
      "    21.0 & 16.2 & 30.2 & 0.1 \\\\\n",
      "    22.0 & 16.2 & 30.6 & 0.1 \\\\\n",
      "    23.0 & 16.2 & 30.9 & 0.1 \\\\\n",
      "    24.0 & 16.2 & 31.3 & 0.1 \\\\\n",
      "    25.0 & 16.3 & 31.7 & 0.1 \\\\\n",
      "    26.0 & 16.3 & 32.0 & 0.1 \\\\\n",
      "    27.0 & 16.4 & 32.4 & 0.1 \\\\\n",
      "    28.0 & 16.4 & 32.7 & 0.1 \\\\\n",
      "    29.0 & 16.4 & 33.0 & 0.1 \\\\\n",
      "    30.0 & 16.5 & 33.3 & 0.1 \\\\\n",
      "    31.0 & 16.5 & 33.5 & 0.1 \\\\\n",
      "    32.0 & 16.5 & 33.9 & 0.1 \\\\\n",
      "    33.0 & 16.5 & 34.2 & 0.1 \\\\\n",
      "    34.0 & 16.6 & 34.5 & 0.1 \\\\\n",
      "    35.0 & 16.6 & 34.8 & 0.1 \\\\\n",
      "    36.0 & 16.6 & 35.0 & 0.1 \\\\\n",
      "    37.0 & 16.6 & 35.2 & 0.1 \\\\\n",
      "    38.0 & 16.6 & 35.5 & 0.1 \\\\\n",
      "    39.0 & 16.7 & 35.7 & 0.1 \\\\\n",
      "    40.0 & 16.7 & 35.8 & 0.1 \\\\\n",
      "    41.0 & 16.7 & 36.1 & 0.1 \\\\\n",
      "    42.0 & 16.7 & 36.3 & 0.1 \\\\\n",
      "    43.0 & 16.7 & 36.4 & 0.1 \\\\\n",
      "    44.0 & 16.8 & 36.6 & 0.1 \\\\\n",
      "    45.0 & 16.8 & 36.8 & 0.1 \\\\\n",
      "    46.0 & 16.8 & 37.0 & 0.1 \\\\\n",
      "    47.0 & 16.9 & 37.1 & 0.1 \\\\\n",
      "    48.0 & 16.8 & 37.2 & 0.1 \\\\\n",
      "    49.0 & 16.9 & 37.4 & 0.1 \\\\\n",
      "    50.0 & 16.9 & 37.5 & 0.1 \\\\\n",
      "    51.0 & 16.8 & 37.6 & 0.1 \\\\\n",
      "    52.0 & 16.9 & 37.8 & 0.1 \\\\\n",
      "    53.0 & 16.8 & 37.9 & 0.1 \\\\\n",
      "    54.0 & 16.9 & 38.0 & 0.1 \\\\\n",
      "    55.0 & 16.9 & 38.1 & 0.1 \\\\\n",
      "    56.0 & 16.9 & 38.2 & 0.1 \\\\\n",
      "    57.0 & 16.9 & 38.3 & 0.1 \\\\\n",
      "    58.0 & 16.9 & 38.5 & 0.1 \\\\\n",
      "    59.0 & 17.0 & 38.6 & 0.1 \\\\\n",
      "    60.0 & 17.0 & 38.7 & 0.1 \\\\\n",
      "    61.0 & 17.0 & 38.7 & 0.1 \\\\\n",
      "    62.0 & 17.0 & 38.8 & 0.1 \\\\\n",
      "    63.0 & 17.1 & 38.9 & 0.1 \\\\\n",
      "    64.0 & 17.1 & 39.1 & 0.1 \\\\\n",
      "    65.0 & 17.1 & 39.1 & 0.1 \\\\\n",
      "    66.0 & 17.1 & 39.3 & 0.1 \\\\\n",
      "    67.0 & 17.1 & 39.4 & 0.1 \\\\\n",
      "    68.0 & 17.0 & 39.5 & 0.1 \\\\\n",
      "    69.0 & 17.0 & 39.6 & 0.1 \\\\\n",
      "    70.0 & 17.0 & 39.7 & 0.1 \\\\\n",
      "    71.0 & 17.1 & 39.7 & 0.1 \\\\\n",
      "    72.0 & 17.2 & 39.7 & 0.1 \\\\\n",
      "\\end{longtable}\n",
      "\n",
      "\n",
      "\\begin{longtable}{cccc}\n",
      "    \\caption{Evolución de temperatura con el tiempo para Intensidad = 1.000 A.} \\\\\n",
      "    \\toprule\n",
      "    Tiempo (min) & $T_1$ (°C) & $T_2$ (°C) & \\textbf{Incertidumbre} \\\\\n",
      "\\midrule\n",
      "    \\endfirsthead\n",
      "\n",
      "    \\multicolumn{4}{c}{\\tablename\\ \\thetable{} -- continuación} \\\\\n",
      "    \\toprule\n",
      "    Tiempo (min) & $T_1$ (°C) & $T_2$ (°C) & \\textbf{Incertidumbre} \\\\\n",
      "\\midrule\n",
      "    \\endhead\n",
      "\n",
      "    \\bottomrule\n",
      "    \\endfoot\n",
      "        73.0 & 17.3 & 39.6 & 0.1 \\\\\n",
      "    74.0 & 17.5 & 39.3 & 0.1 \\\\\n",
      "    75.0 & 17.6 & 39.1 & 0.1 \\\\\n",
      "    76.0 & 17.6 & 38.9 & 0.1 \\\\\n",
      "    77.0 & 17.6 & 38.8 & 0.1 \\\\\n",
      "    78.0 & 17.6 & 38.7 & 0.1 \\\\\n",
      "    79.0 & 17.6 & 38.6 & 0.1 \\\\\n",
      "    80.0 & 17.6 & 38.5 & 0.1 \\\\\n",
      "    81.0 & 17.6 & 38.4 & 0.1 \\\\\n",
      "    82.0 & 17.5 & 38.3 & 0.1 \\\\\n",
      "    83.0 & 17.6 & 38.2 & 0.1 \\\\\n",
      "    84.0 & 17.6 & 38.1 & 0.1 \\\\\n",
      "    85.0 & 17.6 & 38.0 & 0.1 \\\\\n",
      "    86.0 & 17.6 & 38.0 & 0.1 \\\\\n",
      "    87.0 & 17.6 & 37.9 & 0.1 \\\\\n",
      "    88.0 & 17.6 & 37.8 & 0.1 \\\\\n",
      "    89.0 & 17.6 & 37.8 & 0.1 \\\\\n",
      "    90.0 & 17.6 & 37.7 & 0.1 \\\\\n",
      "    91.0 & 17.6 & 37.6 & 0.1 \\\\\n",
      "\\end{longtable}\n",
      "\n",
      "\n",
      "\\begin{longtable}{cccc}\n",
      "    \\caption{Evolución de temperatura con el tiempo para Intensidad = 1.500 A.} \\\\\n",
      "    \\toprule\n",
      "    Tiempo (min) & $T_1$ (°C) & $T_2$ (°C) & \\textbf{Incertidumbre} \\\\\n",
      "\\midrule\n",
      "    \\endfirsthead\n",
      "\n",
      "    \\multicolumn{4}{c}{\\tablename\\ \\thetable{} -- continuación} \\\\\n",
      "    \\toprule\n",
      "    Tiempo (min) & $T_1$ (°C) & $T_2$ (°C) & \\textbf{Incertidumbre} \\\\\n",
      "\\midrule\n",
      "    \\endhead\n",
      "\n",
      "    \\bottomrule\n",
      "    \\endfoot\n",
      "        92.0 & 17.9 & 37.3 & 0.1 \\\\\n",
      "    93.0 & 18.1 & 37.0 & 0.1 \\\\\n",
      "    94.0 & 18.2 & 36.7 & 0.1 \\\\\n",
      "    95.0 & 18.2 & 36.5 & 0.1 \\\\\n",
      "    96.0 & 18.2 & 36.3 & 0.1 \\\\\n",
      "    97.0 & 18.2 & 36.2 & 0.1 \\\\\n",
      "    98.0 & 18.2 & 36.0 & 0.1 \\\\\n",
      "    99.0 & 18.2 & 35.8 & 0.1 \\\\\n",
      "    100.0 & 18.2 & 35.6 & 0.1 \\\\\n",
      "    101.0 & 18.2 & 35.5 & 0.1 \\\\\n",
      "    102.0 & 18.2 & 35.3 & 0.1 \\\\\n",
      "    103.0 & 18.2 & 35.2 & 0.1 \\\\\n",
      "    104.0 & 18.1 & 35.1 & 0.1 \\\\\n",
      "    105.0 & 18.1 & 35.0 & 0.1 \\\\\n",
      "    106.0 & 18.1 & 34.8 & 0.1 \\\\\n",
      "    107.0 & 18.1 & 34.7 & 0.1 \\\\\n",
      "    108.0 & 18.1 & 34.6 & 0.1 \\\\\n",
      "    109.0 & 18.1 & 34.5 & 0.1 \\\\\n",
      "    110.0 & 18.0 & 34.4 & 0.1 \\\\\n",
      "    111.0 & 18.1 & 34.2 & 0.1 \\\\\n",
      "    112.0 & 18.1 & 34.2 & 0.1 \\\\\n",
      "    113.0 & 18.1 & 34.1 & 0.1 \\\\\n",
      "    114.0 & 18.1 & 34.0 & 0.1 \\\\\n",
      "    115.0 & 18.1 & 33.9 & 0.1 \\\\\n",
      "    116.0 & 18.1 & 33.8 & 0.1 \\\\\n",
      "    117.0 & 18.1 & 33.7 & 0.1 \\\\\n",
      "    118.0 & 18.0 & 33.7 & 0.1 \\\\\n",
      "    119.0 & 18.1 & 33.6 & 0.1 \\\\\n",
      "    120.0 & 18.1 & 33.6 & 0.1 \\\\\n",
      "\\end{longtable}\n",
      "\n",
      "\n",
      "\\begin{longtable}{cccc}\n",
      "    \\caption{Evolución de temperatura con el tiempo para Intensidad = 2.000 A.} \\\\\n",
      "    \\toprule\n",
      "    Tiempo (min) & $T_1$ (°C) & $T_2$ (°C) & \\textbf{Incertidumbre} \\\\\n",
      "\\midrule\n",
      "    \\endfirsthead\n",
      "\n",
      "    \\multicolumn{4}{c}{\\tablename\\ \\thetable{} -- continuación} \\\\\n",
      "    \\toprule\n",
      "    Tiempo (min) & $T_1$ (°C) & $T_2$ (°C) & \\textbf{Incertidumbre} \\\\\n",
      "\\midrule\n",
      "    \\endhead\n",
      "\n",
      "    \\bottomrule\n",
      "    \\endfoot\n",
      "        121.0 & 18.3 & 33.3 & 0.1 \\\\\n",
      "    122.0 & 18.6 & 32.9 & 0.1 \\\\\n",
      "    123.0 & 18.7 & 32.7 & 0.1 \\\\\n",
      "    124.0 & 18.7 & 32.5 & 0.1 \\\\\n",
      "    125.0 & 18.7 & 32.3 & 0.1 \\\\\n",
      "    126.0 & 18.7 & 32.2 & 0.1 \\\\\n",
      "    127.0 & 18.6 & 32.0 & 0.1 \\\\\n",
      "    128.0 & 18.6 & 31.9 & 0.1 \\\\\n",
      "    129.0 & 18.6 & 31.7 & 0.1 \\\\\n",
      "    130.0 & 18.6 & 31.6 & 0.1 \\\\\n",
      "    131.0 & 18.6 & 31.5 & 0.1 \\\\\n",
      "    132.0 & 18.6 & 31.4 & 0.1 \\\\\n",
      "    133.0 & 18.6 & 31.3 & 0.1 \\\\\n",
      "    134.0 & 18.6 & 31.1 & 0.1 \\\\\n",
      "    135.0 & 18.6 & 31.0 & 0.1 \\\\\n",
      "    136.0 & 18.6 & 31.0 & 0.1 \\\\\n",
      "    137.0 & 18.6 & 30.9 & 0.1 \\\\\n",
      "    138.0 & 18.6 & 30.9 & 0.1 \\\\\n",
      "    139.0 & 18.5 & 30.7 & 0.1 \\\\\n",
      "    140.0 & 18.5 & 30.6 & 0.1 \\\\\n",
      "    141.0 & 18.6 & 30.6 & 0.1 \\\\\n",
      "    142.0 & 18.5 & 30.5 & 0.1 \\\\\n",
      "    143.0 & 18.5 & 30.4 & 0.1 \\\\\n",
      "\\end{longtable}\n",
      "\n",
      "\n",
      "\\begin{longtable}{cccc}\n",
      "    \\caption{Evolución de temperatura con el tiempo para Intensidad = 2.500 A.} \\\\\n",
      "    \\toprule\n",
      "    Tiempo (min) & $T_1$ (°C) & $T_2$ (°C) & \\textbf{Incertidumbre} \\\\\n",
      "\\midrule\n",
      "    \\endfirsthead\n",
      "\n",
      "    \\multicolumn{4}{c}{\\tablename\\ \\thetable{} -- continuación} \\\\\n",
      "    \\toprule\n",
      "    Tiempo (min) & $T_1$ (°C) & $T_2$ (°C) & \\textbf{Incertidumbre} \\\\\n",
      "\\midrule\n",
      "    \\endhead\n",
      "\n",
      "    \\bottomrule\n",
      "    \\endfoot\n",
      "        144.0 & 18.8 & 30.1 & 0.1 \\\\\n",
      "    145.0 & 19.1 & 29.9 & 0.1 \\\\\n",
      "    146.0 & 19.2 & 29.6 & 0.1 \\\\\n",
      "    147.0 & 19.2 & 29.5 & 0.1 \\\\\n",
      "    149.0 & 19.3 & 29.1 & 0.1 \\\\\n",
      "    150.0 & 19.2 & 29.1 & 0.1 \\\\\n",
      "    151.0 & 19.2 & 29.0 & 0.1 \\\\\n",
      "    152.0 & 19.3 & 28.9 & 0.1 \\\\\n",
      "    153.0 & 19.2 & 28.7 & 0.1 \\\\\n",
      "    154.0 & 19.2 & 28.6 & 0.1 \\\\\n",
      "    155.0 & 19.1 & 28.5 & 0.1 \\\\\n",
      "    156.0 & 19.1 & 28.4 & 0.1 \\\\\n",
      "    157.0 & 19.2 & 28.3 & 0.1 \\\\\n",
      "    158.0 & 19.1 & 28.2 & 0.1 \\\\\n",
      "    159.0 & 19.1 & 28.1 & 0.1 \\\\\n",
      "    160.0 & 19.2 & 28.0 & 0.1 \\\\\n",
      "    161.0 & 19.1 & 27.9 & 0.1 \\\\\n",
      "    162.0 & 19.1 & 27.8 & 0.1 \\\\\n",
      "    163.0 & 19.1 & 27.7 & 0.1 \\\\\n",
      "    164.0 & 19.1 & 27.6 & 0.1 \\\\\n",
      "    165.0 & 19.2 & 27.6 & 0.1 \\\\\n",
      "    166.0 & 19.1 & 27.5 & 0.1 \\\\\n",
      "    167.0 & 19.2 & 27.5 & 0.1 \\\\\n",
      "    168.0 & 19.2 & 27.4 & 0.1 \\\\\n",
      "    169.0 & 19.3 & 27.3 & 0.1 \\\\\n",
      "    170.0 & 19.1 & 27.3 & 0.1 \\\\\n",
      "    171.0 & 19.2 & 27.2 & 0.1 \\\\\n",
      "    172.0 & 19.2 & 27.1 & 0.1 \\\\\n",
      "    173.0 & 19.2 & 27.0 & 0.1 \\\\\n",
      "    174.0 & 19.2 & 27.0 & 0.1 \\\\\n",
      "    175.0 & 19.2 & 27.0 & 0.1 \\\\\n",
      "\\end{longtable}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "def generar_tabla_latex(datos, titulo, encabezado, incertidumbre=None):\n",
    "    \"\"\"\n",
    "    Genera una tabla en formato LaTeX a partir de una matriz de datos.\n",
    "    \n",
    "    Parámetros:\n",
    "        datos (np.array): Matriz con los datos a formatear.\n",
    "        titulo (str): Nombre del conjunto de datos.\n",
    "        encabezado (list): Lista con los nombres de las columnas.\n",
    "        incertidumbre (float or list): Valor de la incertidumbre de temperatura (opcional).\n",
    "    \n",
    "    Retorna:\n",
    "        str: Código LaTeX de la tabla.\n",
    "    \"\"\"\n",
    "    num_columnas = len(encabezado)\n",
    "    latex_code = f\"\"\"\n",
    "\\\\begin{{longtable}}{{{'c' * (num_columnas + (1 if incertidumbre is not None else 0))}}}\n",
    "    \\\\caption{{{titulo}}} \\\\\\\\\n",
    "    \\\\toprule\n",
    "    {' & '.join(encabezado)}\"\"\"\n",
    "\n",
    "    if incertidumbre is not None:\n",
    "        latex_code += \" & \\\\textbf{Incertidumbre} \\\\\\\\\\n\"\n",
    "    else:\n",
    "        latex_code += \" \\\\\\\\\\n\"\n",
    "\n",
    "    latex_code += \"\"\"\\\\midrule\n",
    "    \\\\endfirsthead\n",
    "\n",
    "    \\\\multicolumn{\"\"\" + str(num_columnas + (1 if incertidumbre is not None else 0)) + \"\"\"}{c}{\\\\tablename\\\\ \\\\thetable{} -- continuación} \\\\\\\\\n",
    "    \\\\toprule\n",
    "    \"\"\" + ' & '.join(encabezado)\n",
    "\n",
    "    if incertidumbre is not None:\n",
    "        latex_code += \" & \\\\textbf{Incertidumbre} \\\\\\\\\\n\"\n",
    "    else:\n",
    "        latex_code += \" \\\\\\\\\\n\"\n",
    "\n",
    "    latex_code += \"\"\"\\\\midrule\n",
    "    \\\\endhead\n",
    "\n",
    "    \\\\bottomrule\n",
    "    \\\\endfoot\n",
    "    \"\"\"\n",
    "\n",
    "    for i, fila in enumerate(datos):\n",
    "        latex_code += \"    \" + \" & \".join(map(str, fila))\n",
    "        if incertidumbre is not None:\n",
    "            if isinstance(incertidumbre, (int, float)):\n",
    "                latex_code += f\" & {incertidumbre} \\\\\\\\\\n\"\n",
    "            else:\n",
    "                latex_code += f\" & {incertidumbre[i]} \\\\\\\\\\n\"\n",
    "        else:\n",
    "            latex_code += \" \\\\\\\\\\n\"\n",
    "\n",
    "    latex_code += \"\\\\end{longtable}\\n\"\n",
    "    return latex_code\n",
    "\n",
    "\n",
    "# ======== GENERAR TABLAS ========\n",
    "\n",
    "# Datos de temperatura con el tiempo para diferentes intensidades\n",
    "titulo_1 = \"Evolución de temperatura con el tiempo para Intensidad = 0.5002 A.\"\n",
    "titulo_2 = \"Evolución de temperatura con el tiempo para Intensidad = 1.000 A.\"\n",
    "titulo_3 = \"Evolución de temperatura con el tiempo para Intensidad = 1.500 A.\"\n",
    "titulo_4 = \"Evolución de temperatura con el tiempo para Intensidad = 2.000 A.\"\n",
    "titulo_5 = \"Evolución de temperatura con el tiempo para Intensidad = 2.500 A.\"\n",
    "\n",
    "encabezado = [\"Tiempo (min)\", \"$T_1$ (°C)\", \"$T_2$ (°C)\"]\n",
    "\n",
    "latex_tabla_1 = generar_tabla_latex(primera_intensidad, titulo_1, encabezado, incertidumbre=0.1)\n",
    "latex_tabla_2 = generar_tabla_latex(segunda_intensidad, titulo_2, encabezado, incertidumbre=0.1)\n",
    "latex_tabla_3 = generar_tabla_latex(tercera_intensidad, titulo_3, encabezado, incertidumbre=0.1)\n",
    "latex_tabla_4 = generar_tabla_latex(cuarta_intensidad, titulo_4, encabezado, incertidumbre=0.1)\n",
    "latex_tabla_5 = generar_tabla_latex(quinta_intensidad, titulo_5, encabezado, incertidumbre=0.1)\n",
    "\n",
    "# Imprimir resultados\n",
    "print(latex_tabla_1)\n",
    "print(latex_tabla_2)\n",
    "print(latex_tabla_3)\n",
    "print(latex_tabla_4)\n",
    "print(latex_tabla_5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Análisis de Datos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Graficación general"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 7))\n",
    "\n",
    "#T1 (agua corriente)\n",
    "plt.plot(primera_intensidad[:, 0], primera_intensidad[:, 1], label='T1 (0.5 A)', marker='s', linestyle='-', color='#000066')\n",
    "plt.plot(segunda_intensidad[:, 0], segunda_intensidad[:, 1], label='T1 (1.0 A)', marker='s', linestyle='-', color='#0000FF')\n",
    "plt.plot(tercera_intensidad[:, 0], tercera_intensidad[:, 1], label='T1 (1.5 A)', marker='s', linestyle='-', color='#9999FF') #003366\n",
    "plt.plot(cuarta_intensidad[:, 0], cuarta_intensidad[:, 1], label='T1 (2.0 A)', marker='s', linestyle='-', color='#6699FF')\n",
    "plt.plot(quinta_intensidad[:, 0], quinta_intensidad[:, 1], label='T1 (2.5 A)', marker='s', linestyle='-', color='#0080FF')\n",
    "#T2 (resistencia) separado por valores de matrices\n",
    "plt.plot(primera_intensidad[:, 0], primera_intensidad[:, 2], label='T2 (0.5 A)', marker='o', linestyle='-', color='#FF0000')\n",
    "plt.plot(segunda_intensidad[:, 0], segunda_intensidad[:, 2], label='T2 (1.0 A)', marker='o', linestyle='-', color='#990000')\n",
    "plt.plot(tercera_intensidad[:, 0], tercera_intensidad[:, 2], label='T2 (1.5 A)', marker='o', linestyle='-', color='#FF9999')\n",
    "plt.plot(cuarta_intensidad[:, 0], cuarta_intensidad[:, 2], label='T2 (2.0 A)', marker='o', linestyle='-', color='#FF4040')\n",
    "plt.plot(quinta_intensidad[:, 0], quinta_intensidad[:, 2], label='T2 (2.5 A)', marker='o', linestyle='-', color='#800000')\n",
    "plt.xlabel('Tiempo (min)')\n",
    "plt.ylabel('Temperatura (ºC)')\n",
    "plt.title('Temperaturas $T_2$ y $T_1$ en función del tiempo')\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "total_datos = np.vstack((primera_intensidad, segunda_intensidad, tercera_intensidad, cuarta_intensidad, quinta_intensidad))\n",
    "\n",
    "tiempo = total_datos[:, 0]\n",
    "T1 = total_datos[:, 1]\n",
    "T2 = total_datos[:, 2]\n",
    "\n",
    "plt.figure(figsize=(8, 5))\n",
    "plt.plot(tiempo, T1, label='T1 (ºC)', marker='s', linestyle='-')\n",
    "plt.plot(tiempo, T2, label='T2 (ºC)', marker='o', linestyle='-')\n",
    "plt.xlabel('Tiempo (min)')\n",
    "plt.ylabel('Temperatura (ºC)')\n",
    "plt.title('Temperatura en función del tiempo')\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Constantes y estabilización"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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OU2716tVUqlQJa2trXF1d6d27d5rPhkKId4uiqqqa050QQrzeVq5cqfd8+fLl7Ny5kxUrVugdb9SoEXnz5n2VXTM5rVZL5cqVuXLlCrGxsYSFhZEnTx7d+aVLl9K7d298fHwwNzfn9OnT3Lhxw+iVArdv36ZixYo4OjoydOhQYmJimDFjBl5eXhw9ehRLS0sAzp49y9mzZ9NcP27cOGJiYrh3756ubHoOHDhAy5Yt+fbbb7G1tWXcuHHMmDGDDz/8UFfm+vXrNGzYkODgYDp06EDNmjWxtLTk7NmzrFq1CmdnZ/79918jR+71kydPHjw9PWnTpg1eXl6cO3eOH374gcKFC3Py5ElsbGx0ZQsVKkTu3Ln57LPP9OooXrw41apVy7CdoKAgvL296dy5M82bN9c7V6tWLQoWLKh7PmbMGKZNm0b79u1p0KABFy5cwN/fn/r167Njxw4TvOqMJSQkAGT4vSOEEEKIN9PbPmePjIykefPm1K5dm0KFCqHRaDh48CArV66kU6dOBAYG6sru3LmT+/fv610fGxvLJ598QvPmzdm6dWuGbRk7Z4+JiaFMmTLExsYycOBAChQowJkzZ1i4cCGlS5fmxIkTaDSG1y7KnN34z1e//fYbbdu2pXnz5tSrVw9zc3N++eUX9uzZw5dffsnEiRMzbevWrVu89957APTt25d8+fJx9+5djh49yubNm3Xl/P39GThwIA0aNKBt27bcvn2bOXPmULRoUY4cOYK1tbVJx+B5iYmJaLVarKysXmo7QogsUoUQIosGDRqkvq1vH/7+/qqLi4s6bNgwFVDDwsL0zkdERKjR0dGqqqrq9OnTVUC9ceOG0fUPGDBAtbGxUW/evKk7tnPnThVQFy5cmOG1wcHBqqIoat++fTNtZ/r06erw4cN1z2fPnq0OHjxY9zwxMVEtX768amtrq+7bty/N9VFRUeq4ceOMeUmvrT179qQ5tmzZMhVQf/zxR73jBQsWVFu0aJGtdm7cuKEC6vTp0zMsd/fuXdXc3Fz96KOP9I7PmzdPBdTNmzdnq30hhBBCiPS8zXP2Zw0ePFgF1JCQkAzLrVixQgXUgICATOs0ds4eEBCgAupvv/2md/2XX36pAurJkyczbEfm7MZ/vrp+/boaFBSkd0yr1ar169dXrays1JiYmEzbatasmert7a2Gh4cbLPPkyRPVyclJrV27tqrVanXHt2zZogLq3LlzjXxlQoi3jaRzEUKIpyIjI/nf//7HV199hZOTU7plnJ2dyZUrV7bb+OWXX2jZsiVeXl66Yw0bNqR48eKsXbs2w2tXrVqFqqp07do103YKFy7M5s2bOXz4MGfOnCEgIIBixYrp9ePMmTN8/vnn1KxZM831Dg4OfPPNN1l4ZSkMpUVJfUyYMCHLdWZXerm/P/jgAyDl9tz0JCQkvFBqldjYWN1q7+cdOnSIpKQkOnXqpHc89Xl6qV+elZo2ZsaMGSxYsECXpqZx48bcunULVVX5+uuvyZ8/PzY2Nrz//vtERkbq1fF8TvS9e/eiKApr167lm2++IX/+/FhbW9OgQQOuXr2ajREQQgghhHi1Ulcsp5ey71mBgYHY2dnx/vvvZ1qnsXP26OhogDQr+z08PAD07nxMj8zZjf985e3trXeHJ6SkMGrTpg1Pnjzh+vXrGV5/6dIltm3bxqhRo3BxcSE+Pj5NGiCA8+fP8/DhQzp27IiiKLrjLVu2xN7ePtM5e2q/Bg8ezLp16/Dx8cHGxgZfX1/OnTsHwMKFCylatCjW1tbUrVs3Tfqa53OiP/s5YNGiRRQpUgQrKyuqVq3KsWPHMu2PEMI0zHO6A0KId1N0dDQODg56xxITE43OUajVatMECA1xdHQ0qt4vvvgCd3d3+vfvz9dff21U3Vlx584dQkNDqVKlSppz1apV4/fff8/w+oCAAAoUKEDt2rUzbatNmzasWLECX19fAOrVq0e/fv1051NvV/zoo4+y8hIyNXv2bGJiYoCUnOQbN27E398fe3t7AMqVK5fh9TExMcTHx2fajoWFBY6Ojlnu37179wD0UvSk2r17N7a2tiQnJ1OwYEFGjBjBsGHDjK574sSJjBo1CkVRqFy5Mt988w2NGzfWnX/y5AmQ9sOUra0tACdOnDCqnYCAABISEhgyZAiRkZFMmzaNDz/8kPr167N3717GjBnD1atXmTdvHiNHjuTnn3/OtM6pU6ei0WgYOXIkUVFRTJs2ja5du3LkyBFjX74QQggh3kKv45w9ISGB6OhoHj9+zPHjx5kxYwYFCxakaNGiBq8JCwtj586ddOzYETs7uwzrz8qcvXbt2mg0GoYNG8bMmTPJnz8/Z8+e5ZtvvqFNmzaULFkyw7Zkzv7iMprfP+vPP/8EUv7g0aBBA3bv3o2ZmRmNGjXC399fF7Q2NGdPPXbq1Cm0Wm2GaXoA9u3bx+bNmxk0aBAAU6ZMoWXLlowePZrvv/+egQMH8uDBA6ZNm8bHH3/M7t27M32tgYGBPHr0iP79+6MoCtOmTaNt27Zcv37d6J9JIcQLyOml8EKIN8+L3Bp6+PBhtWDBgiqg1q1bVw0LC1MvXbqklilTRlUURa1atap6/fr1TOtJTaFhzCO9tB7PO3PmjGpmZqbu2LFDVVVVHT9+fLrpXJ6V1XQux44dUwF1+fLlac6NGjVKBdT4+Ph0rz1//rwKqKNHjzaqrVQXLlxQz5w5o3croqqqasWKFVVHR8cs1ZVVxozh83r06GHU/2mdOnWy1afevXurZmZm6r///qt3vFWrVuq3336r/vrrr+rixYvVWrVqGT3eN2/eVBs3bqz6+/urmzdvVmfPnq16eXmpGo1G79beEydOqID69ddf612/fft2FVDt7e0zbCf1e97V1VV9+PCh7vjYsWNVQC1fvryamJioO965c2fV0tJS73uqTp06emO3Z88eFVBLlSqlPnnyRHd8zpw5KqCeO3cu09cvhBBCiNfT2zhnV1VVXbVqld51VapUUc+ePZvhNanp837//fdM68/qnP2nn35SnZyc9PrUo0cPvXlZZmTOniKrn68iIiJUNzc3tVatWpmWHTp0qAqoLi4uatOmTdU1a9ao06dPV+3t7dUiRYqosbGxqqqqalhYmKooitq7d2+96y9duqR7XRmlg1FVVQVUKysrvdexcOFCFVDd3d116WtU9b+5/LNle/TooRYsWFD3PPXnyMXFRY2MjNQd37RpkwqoW7ZsyfT1CyFenKxEF0KYVJcuXQgODiYxMREbGxsWLlxIiRIlAFBVlT59+rBw4UKqVKnCJ598Qo8ePbh9+zZt2rRh9+7dbNmyhf79+/PHH39k2I67uzs7d+40qk/ly5fPtMzQoUNp1qyZ3sphU3v8+DFAuhvEpG5O8/jx43TPBwQEABiVyuVZpUqVSvd4dHT0C6WleVlGjx5Nt27dMi2XO3fuLNcdGBjI4sWLGT16tN5tsoDeRkIAvXr1olmzZnz33XcMGTKE/PnzG6zXy8srzaagH330ET4+Pnz22We0aNECgEqVKlG9enW+/fZb8uXLR7169bh48SIDBgzAwsJC9/2RmQ4dOuit6KlevToA3bp1w9zcXO/4qlWruHPnDoULF86wzl69eultNlqrVi0gZSOrMmXKGNUvIYQQQrw53tQ5O6Ss1t65cycPHz5k165dnDlzJtN0fIGBgbi6utKoUaNM68/qnD1fvnxUq1aN5s2bU7BgQfbt28fcuXPJkycPM2bMMOo1yZw967RaLV27duXhw4fMmzcv0/KpK+/d3d3ZunWrbiV5/vz56dy5M4GBgfTp04c8efLw4YcfsmzZMkqVKsUHH3zAnTt3GDJkCBYWFiQmJho1b2/QoIFeSpbUOXu7du30/k9Tj1+/fj3NZqrP69ixo96YPjtnF0K8fBJEF0KY1Pjx43UT8OHDhzNgwADdrWm3b9/Gy8uLJk2aALBixQp8fHwoV66cLn3Kxx9/zLx580hKStILCD7P2tqahg0bmqTPa9as4eDBg5w/f94k9RmSektg6i2Cz0q9HTK92wZVVSUwMJAyZcpkemulsRwcHF7LyZaPjw8+Pj4mr3ffvn307t2bJk2aGJU3UlEURowYwY4dO9i7d69RHxKe5ezsTK9evZg6dSq3b9/WBeF/+eUXOnbsyMcffwyAmZkZn376KX/99ReXL182qu5nc3MCuoB6gQIF0j3+4MGDLNeZOjk35lohhBBCvHnexDl7qrx58+pykLdv357JkyfTqFEjrly5gru7e5ry169f59ChQwwePDjDvqbKypz9wIEDtGzZksOHD+vSv7Rp0wYHBwcmTpzIxx9//EJz23dtzp4VQ4YMYfv27SxfvtyoP8Ck/p99+OGHeqlYOnTowEcffcTBgwfp06cPkJKz/PHjx4wcOZKRI0cCKQtWihQpwoYNG3RpbzIic3Yh3j4SRBdCmFTqZDzV87nint2cxdraGjc3NyIiIlBVVe+cqqoZtpOcnExYWJhRfXJ2dtZbZfu8UaNG0aFDBywtLXWbuqRuTHTr1i0SEhLw9PQ0qq2MpG4wFBISkuZcSEgIzs7O6a54OXDgADdv3mTKlCkv3IdUJUuW5NSpU9y6dSvNRC4nRUVFGbWyw9LSEmdnZ6PqPHPmDK1bt6ZMmTKsX7/eqA9P8N8E19g8nhldnxpEz5cvH/v37+fKlSvcu3ePYsWK4e7ujqenJ8WLFzeqXjMzsywdz+xn6UWvFUIIIcSb502csxvSvn17Pv/8czZt2kT//v3TnA8MDASMv6MzK3P2hQsXkjdv3jT501u3bs2ECRM4ePDgCwWb36U5e1ZMnDiR77//nqlTpxqdLz7189zzm8CamZnh4uKiF4h2dHRk06ZNBAcHExQURMGCBSlYsCB+fn64urri5OSUaXsyZxfi7SNBdCHES7F7925++ukn9uzZozuWP39+bt68yfbt26lWrRqTJk3CycmJe/fuMWLECL766iu2bNmCs7Nzphuj3Lp1C29vb6P6smfPHurWrZthXYGBgboJ9rMqVapE+fLlOX36tFFtZSRfvny4urpy/PjxNOeOHj1KhQoV0r0uICAARVHo0qXLC/chVatWrVi1ahUrV65k7NixJqv3WamTPK1Wa/Q1w4YNY9myZZmWq1OnDnv37s203LVr12jatClubm78/vvvRq0aSZW66sfV1dXoa4y9vlixYrqUMhcuXCAkJISePXtmqx0hhBBCiOx6k+bshqQGc6OiotI9HxgYSJEiRahRo4ZR9WVlzn7//n2Sk5PTlEtMTAQgKSnJqDYNeVfm7FmxYMECJkyYwPDhwxkzZozR11WuXBlI2Tj2WQkJCYSHh6c7Z/fy8tKt/n748CEnTpygXbt2L9B7IcSbTILoQgiTO378OB9++CE///wzVatW1R1XFIWff/6ZLl26cPXqVapVq8amTZuIjY3l/fffZ86cOZQuXZpffvkl0zZMmV9x48aNaY6tXr2aNWvWsHz58gzzYWfk2rVrABQpUkR3rF27dixbtkxvNcmuXbv4999/GTFiRJo6EhMTWbduHTVr1kxz+96LaN++PVOmTOGbb76hbt26+Pr66p1/9OgRU6dONSr1iSFubm4AhIWF6f6dGVPmV7x37x6NGzdGo9GwY8cOg8HwyMhIHB0d9VZ2JCYmMnXqVCwtLalXr57ueFRUFCEhIXh4eOhuvQwLC0tT9507d/j5558pV66cbjVTerRaLaNHj8bW1pZPPvkk09ckhBBCCGEqb9qcPTw8HBcXF72V8AA//fQTQJrV4ACnTp3i4sWLfPHFFwbrfZE5e/Hixfnjjz/Yu3ev3h8AVq1aBUDFihUzfE2ZeRfm7FmxZs0ahg4dSteuXfnuu+8MlouLiyM4OJg8efKQJ08eAOrWrYubmxsBAQGMGzdOl99+6dKlJCcnZ5ovf+zYsSQlJaX7mU0I8W6QILoQwqSOHTtGq1atWLRoEW3btk1zvmrVqly5coX4+HjdxAXg/PnzREdH4+DgYFQ7psyv2KZNmzTHUleeN2vWTDfxgpQgaurGNQcOHABg/vz5ODk54eTkxODBg3VlGzRoAKBLEQMwbtw41q1bR7169Rg2bBgxMTFMnz6dsmXL0qtXrzT92LFjBxEREVneUDQzFhYWbNiwgYYNG1K7dm0+/PBD3nvvPSwsLPjnn38IDAwkd+7cugn53r17qVevHuPHj2fChAlGtVG/fn00Gg2fffYZHTt2pFWrVnpjmR5T5lds2rQp169fZ/To0ezfv5/9+/frzuXNm1c3Ud68eTOTJk2iffv2eHt7ExkZSWBgIOfPn2fy5Ml6uTU3btxIr169WLJkiW7l+OjRo7l27RoNGjTA09OToKAgFi5cSGxsLHPmzNHr07Bhw4iPj6dChQokJiYSGBjI0aNHWbZsmUn/SCKEEEIIkZE3cc6+cuVKfvjhB9q0aUPhwoV59OgRO3bsYOfOnbRq1Yr69eunuSYgIADIOJXLi8zZBw8ezJIlS2jVqhVDhgyhYMGC/PXXX6xatYpGjRrpNo3Mrndhzm7s56ujR4/SvXt3XFxcaNCgge7/NpWfnx+FCxfWlX1+HKysrJg+fTo9evSgdu3afPTRRwQHBzNnzhxq1aql93MwdepUzp8/T/Xq1TE3N+fXX3/ljz/+YNKkSXp/cBJCvFskiC6EMKmWLVtiZmbG3LlzmTt3ri6f3POenYynMnYynpMePHiQZiXLzJkzAShYsKBeED09BQoU4K+//uLTTz/l//7v/7C0tKRFixbMnDkz3XzoAQEBWFhY0KFDB9O9iKeKFi3K6dOnmTVrFhs3buTXX39Fq9VStGhR+vTpw9ChQ3VlU3ezz2hV9fOKFSvG8uXLmTBhAn369OHAgQOZTshN6cyZMwBMmzYtzbk6deroguhly5bFx8eHlStXEhYWhqWlJRUqVGDt2rVGjXvjxo354YcfWLBgAQ8ePMDJyYnatWvzv//9j0qVKumVrVixIrNnzyYgIACNRkO1atXYtWuX3mp3IYQQQoiX7U2cs9esWZODBw+yatUq7t+/j7m5OSVKlOC7775jyJAhacprtVpWr15NpUqV0uSAz4yxc/YSJUpw4sQJ/ve//7Fy5Uru3buHp6cnI0eOZOLEiS/8muHtn7Mb+/nqwoULJCQkEBYWxscff5ymniVLluiC6IZ0794dS0tLpk6dyqhRo3BycqJ///5MnjxZ767UsmXLsnHjRjZv3kxycjLlypUz+rOBEOLtpaiyA4EQQohMjB49mlWrVnH16tV0g/1CCCGEEEKInCVzdiGEeHk0mRcRQgjxrtuzZw9ffPGFTMaFEEIIIYR4TcmcXQghXh5ZiS6EEEIIIYQQQgghhBBCGCAr0YUQQgghhBBCCCGEEEIIAySILoQQQgghhBBCCCGEEEIYIEF0IYQQQgghhBBCCCGEEMIACaILIYQQQgghhBBCCCGEEAZIEF0IIUzs/v37tG/fHhcXFxRFYfbs2ezduxdFUdi7d+9LbVtRFCZMmPBS23iXPHnyJKe7IIQQQgghXgKZs78dVFUlISEhp7shhHgHSBBdCPFOUBTFqIcpJswjRoxgx44djB07lhUrVtC0adMXfwGvsTVr1tCtWzeKFSuGoijUrVs33XI9e/bMcOzv3LmTYTsbNmygY8eOFC5cGFtbW0qUKMFnn33Gw4cP0y2/efNmKlWqhLW1NV5eXowfP56kpCSjXtMff/xB/vz5sbOzo3Xr1um2kZyczJIlS6hbty7Ozs5YWVlRqFAhevXqxfHjx41qRwghhBBC/Efm7C/Pq5qzP9uer68vdnZ2ODk54efnx+7du9OUW7x4MaVKlcLa2ppixYoxb948o1/TypUryZMnD7ly5aJXr17pBtPj4+OZNWsW1atXx9HREWtra4oXL87gwYP5999/jW5LCCHMc7oDQgjxKqxYsULv+fLly9m5c2ea46VKlXrhtnbv3s3777/PyJEjdceKFy/O48ePsbS0fOH6Xzf+/v6cOHGCqlWrEhERYbBc//79adiwod4xVVX55JNPKFSoEPny5cuwnX79+uHp6Um3bt3w8vLi3LlzzJ8/n99//52TJ09iY2OjK7tt2zbatGlD3bp1mTdvHufOnWPSpEmEhobi7++fYTsxMTF07tyZgQMHUrlyZWbNmsW4ceP4/vvvdWUeP35M27Zt2b59O7Vr12bcuHE4OzsTFBTE2rVrWbZsGcHBweTPnz/DtoQQQgghxH9kzv7yvKo5O8CECRP46quvaN++PT179iQxMZHz58+nCcAvXLiQTz75hHbt2vHpp5+yb98+hg4dSlxcHGPGjMmwjaCgIAYMGMCECRMoWLAgEydOZPbs2YwePVpXJjw8nKZNm3LixAlatmxJly5dsLe35/Lly6xevZpFixbJKnYhhPFUIYR4Bw0aNEh9WW+BiqKogwYNeil1ZwZQx48f/0rbDA4OVpOTk1VVVdXSpUurderUMfraffv2qYD6zTffZFp2z549aY4tW7ZMBdQff/xR77iPj49avnx5NTExUXfs888/VxVFUS9evJhhO8eOHVMrVKige3769Gm1TJkyemVSv39mzZqV5vqkpCR1+vTp6q1btzJ9TUIIIYQQwjCZs5vOq5qzHzp0SFUURf3uu+8yLBcXF6e6uLioLVq00DvetWtX1c7OTo2MjMzw+nXr1qlt2rTRPf/111/Vli1b6pVp0aKFqtFo1PXr16e5Pj4+Xv3ss88yezlCCKEj6VyEEMJEli5diqIoqKrKggULdLc8AunmV6xbty5lypThwoUL1KtXD1tbW/Lly8e0adP06k1ISODLL7+kcuXKODo6YmdnR61atdizZ8+rfHkGFShQAI0me79OAgMDURSFLl26ZFo2vVtOP/jgAwAuXryoO3bhwgUuXLhAv379MDf/74argQMHoqoq69evz7AdLy8vrly5wrp167h27Rpz586lWLFiuvO3b99m4cKFNGrUiOHDh6e53szMjJEjR8oqdCGEEEKI15DM2bMuK3P22bNn4+7uzrBhw1BVlZiYmHTL7dmzh4iICAYOHKh3fNCgQcTGxrJ169YM2ylcuDB///03O3fu5PLlyyxatEhvzn7kyBG2bt1K7969adeuXZrrraysmDFjRqavRwghUkkQXQghTKR27dq6W00bNWrEihUr0tx6+rwHDx7QtGlTypcvz8yZMylZsiRjxoxh27ZtujLR0dH89NNP1K1bl2+//ZYJEyYQFhZGkyZNOH36dLb6Gh4ebtTjZW6smZiYyNq1a/Hz86NQoULZquPevXsA5MmTR3fs1KlTAFSpUkWvrKenJ/nz59edN8TNzY0JEybQqVMnihYtyq5du5g6daru/LZt20hKSuKjjz7KVp+FEEIIIUTOkTl71mR1zr5r1y6qVq3K3LlzcXV1JVeuXHh4eDB//ny9cobm7JUrV0aj0WQ6Z69UqRJdu3alcePGlCxZktu3bzN27Fjd+c2bNwPInF0IYTKSE10IIUykcOHCFC5cmI8++ojixYvTrVu3TK+5e/cuy5cv103uevfuTcGCBVm8eDHNmjUDIHfu3AQFBenlZuzbty8lS5Zk3rx5LF68OMt9dXV1NarckiVL6NmzZ5brN8aOHTuIiIiga9eu2a7j22+/xczMjPbt2+uOhYSEAODh4ZGmvIeHB3fv3s203pEjR9K5c2fu3r1L2bJlsba21p1LXfVetmzZbPdbCCGEEELkDJmzZ01W5uwPHjwgPDycAwcOsHv3bsaPH4+XlxdLlixhyJAhWFhY0L9/fyBlzm5mZoabm5teHZaWlri4uBg1Z587dy7Dhw/n4cOHlCtXTu8uVJmzCyFMTYLoQgjxnAkTJrB06VKCg4PZvXu3wZ3rTcHe3l5v4m5paUm1atW4fv267piZmRlmZmYAaLVaHj58iFarpUqVKpw8eTJb7e7cudOocqVLl85W/cYIDAzEwsKCDz/8MNvXL168mNGjR+vduvn48WMg5RbN51lbWxMdHW1U/fny5Ut346TU63PlypWdbgshhBBCCBOQOft/Xpc5e2rqloiICFavXk3Hjh0BaN++PWXLlmXSpEm6IHpGG7haW1vr5vSZKVy4cLrHZc4uhDA1CaILIcRzOnTowMCBA6lWrdpLbyt//vy6HIypcufOzdmzZ/WOLVu2jJkzZ3Lp0iUSExN1x729vbPVbsOGDbN1nanExMSwadMmmjRpgouLS5av37dvH71796ZJkyZ88803eudsbGwA0r2tNT4+Xnc+uxwcHAB49OjRC9UjhBBCCCGyT+bsL19W5+yp82wLCwu9O0U1Gg0dO3Zk/PjxBAcH4+XlhY2NDQkJCenWY+o5u5OT0wvVJYQQIEF0IYRI42Wu5Hhe6mqV56mqqvv3ypUr6dmzJ23atGHUqFG4ublhZmbGlClTuHbtWrbaTc0lnhlHR8cXnsCm59dffyUuLi5bqVzOnDlD69atKVOmDOvXr9e7bRP+S+MSEhJCgQIF9M6FhIS88AetkiVLAnDu3DkqVKjwQnUJIYQQQojskTn7f16XObuzszPW1tY4OTmlGbPUtC0PHjzAy8sLDw8PkpOTCQ0N1UvpkpCQQEREBJ6eni/U92fn7LVq1XqhuoQQAmRjUSGEeO2tX7+ewoULs2HDBj766COaNGlCw4YNiY+Pz3adHh4eRj3WrFljwlfyn4CAAOzt7WndunWWrrt27RpNmzbFzc2N33//HXt7+zRlUgPbx48f1zt+9+5dbt++/cKB72bNmmFmZsbKlStfqB4hhBBCCPH2kDl7yorzChUqEBYWlmaVeWqO89Q874bm7MePH0er1b7wnL1Vq1YAMmcXQpiMrEQXQojXXOoqDlVVdbeRHjlyhEOHDuHl5ZWtOnMyv2JYWBh//vknnTt3xtbWNt0ywcHBxMXF6VaQQMpKnMaNG6PRaNixY4fBjZZKly5NyZIlWbRoEf3799eNn7+/P4qi6N1amh0FChSgb9++/PDDD8ybN48hQ4bonddqtcyaNYuOHTuSP3/+F2pLCCGEEEK8GWTOnqJjx44cPnyYZcuW0bdvXyAlPUtAQAA+Pj66Feb169fH2dkZf39/mjdvrrve398fW1tbWrRo8UL99/X1pWnTpvz00080a9aMNm3a6J1PSEhg3LhxzJgx44XaEUK8OySILoQQr7mWLVuyYcMGPvjgA1q0aMGNGzf44Ycf8PHx0W3ek1WmzK/4999/8/fffwMpk+3Y2FgmTZoEQO3ataldu7Ze+TVr1pCUlJThbaHdu3fnr7/+0rtFtmnTply/fp3Ro0ezf/9+9u/frzuXN29eGjVqpHs+ffp0WrduTePGjenUqRPnz59n/vz59OnTh1KlSr3wa545cybXrl1j6NChbNiwgZYtW5I7d26Cg4NZt24dly5dolOnTi/cjhBCCCGEeDPInD1F//79+emnnxg0aBD//vsvXl5erFixgps3b7JlyxZdORsbG77++msGDRpEhw4daNKkCfv27WPlypV88803ODs7v/BrXr58OY0bN6Zt27a0atWKBg0aYGdnx5UrV1i9ejUhISESRBdCGE2C6EII8ZwZM2bwww8/cOfOHbp27Uq+fPk4evRojvWnZ8+e3Lt3j4ULF7Jjxw58fHxYuXIl69atY+/evTnWr1S7d+9m4sSJese++OILAMaPH59mQh4QEICbm1uWPxScOXMGgGnTpqU5V6dOHb0geuqHmIkTJzJkyBBcXV0ZN24cX375ZZbaNMTW1pZt27axdOlSli1bxtdff01cXByenp7Ur1+fgIAA8uXLZ5K2hBBCCCFEWjJnz5pXNWe3sbFh9+7djB49mp9//pnY2FgqVKjA1q1badKkiV7ZgQMHYmFhwcyZM9m8eTMFChRg1qxZDBs2LBuvMC1XV1cOHjzI999/z5o1a/j8889JSEigYMGCtG7d2mTtCCHeDYr67J8MhRBCCCGEEEIIIYQQQgihIxuLCiGEEEIIIYQQQgghhBAGSDoXIYQwQkJCApGRkRmWcXR0xMbG5hX1SAghhBBCCPEsmbMLIYR4WSSILoQQRjh48CD16tXLsMySJUvo2bPnq+mQEEIIIYQQQo/M2YUQQrwskhNdCCGM8ODBA06cOJFhmdKlS+Ph4fGKeiSEEEIIIYR4lszZhRBCvCwSRBdCCCGEEEIIIYQQQgghDJCNRYUQ4hV78uQJiYmJOd0NIYQQQgghBDI/F0IIkTkJogshxCtWokQJ+vbtm9PdEEIIIYQQQiDzcyGEEJmTILoQQrxE//zzD926dSNfvnxYWVnh6elJUlIScXFxOd01PUFBQSiKYvBh7IeK+/fv079/f/Lly4e1tTWFChWid+/eemUuX77MiBEj8PPzw9raGkVRCAoKMqr+5s2bkzt3bp7PRHbq1CkURaFgwYJprtm9ezeKorBo0SKj2hBCCCGEEG+vN2V+DvDHH3/Qu3dvypQpg5mZGYUKFUq33N27d+nWrRslSpQgV65cODk5Ua1aNZYtW5Zm3pyef/75hw4dOlC4cGFsbW3JkycPtWvXZsuWLemW12q1+Pv7U6FCBWxsbHBxcaF+/fqcOXPGYBvJyck4ODjw/vvvpzk3a9YsFEWhR48eac59+eWXKIrCv//+m+nrEEKIl8k8pzsghBBvqw0bNtC5c2ecnZ3p3bs33t7eBAUFsXjxYjZv3symTZvSnUTmBFdXV1asWJHm+Pbt2wkICKBx48aZ1nHr1i3ee+89AD755BPy5cvH3bt3OXr0qF65Q4cOMXfuXHx8fChVqhSnT582up81a9Zk27ZtnD9/nrJly+qOHzhwAHNzc4KDg7l9+zb58+fXO5d6rRBCCCGEeHe9SfNzgMDAQNasWUOlSpXw9PQ0WC48PJzbt2/Tvn17vLy8SExMZOfOnfTs2ZPLly8zefLkDNu5efMmjx49okePHnh6ehIXF8cvv/xC69atWbhwIf369dMr//HHHxMQEED37t0ZPHgwsbGxnDp1itDQUINtmJmZUaNGDQ4ePJjmXOpcPnXe/vw5Nzc3ihcvnuFrEEKIl002FhVCiJfg2rVrlCtXDi8vL/7++29cXV1158LDw6lVqxa3b9/m7NmzeHt752BPM9awYUOOHTvG/fv3sba2zrBs8+bNuXTpEseOHcPFxcVgucjISCwsLMiVKxczZsxg1KhR3Lhxw+DKmmf9/fff1KlTh++//54BAwbojnfu3Jm4uDh2797Njz/+SKdOnXTnmjRpwokTJwgLC0NRlMxftBBCCCGEeOu8ifPzu3fv4urqioWFBS1btuT8+fNG38EJ0KpVK/bs2UNUVBRmZmZZajs5OZnKlSsTHx/PpUuXdMfXrl1Lx44d2bBhAx988EGW6vzqq68YP348Fy5coFSpUrrjHh4e1K9fn8DAQEJCQnB3dwcgKSkJJycnGjduzIYNG7LUlhBCmJqkcxFCiJdg+vTpxMXFsWjRIr0JOkCePHlYuHAhMTExTJ8+PYd6mLmQkBD27NlD27ZtMw2gX7p0iW3btjFq1ChcXFyIj483uDmTs7MzuXLlylafqlWrhqWlZZpVKgcOHKB27dpUq1ZN75xWq+Xw4cP4+flJAF0IIYQQ4h32Js7PPT09sbCwyPb1hQoVIi4ujoSEhCxfa2ZmRoECBXj48KHe8e+++45q1arxwQcfoNVqiY2NNbrO1DtDn52vX79+nXv37jF48GCsra31zp0+fZrY2Fi5o1QI8VqQILoQQrwEW7ZsoVChQtSqVSvd87Vr16ZQoUIG8wwa68GDB4SHh2f6yE6Ox9WrV6PVaunatWumZf/8808A8ubNS4MGDbCxscHGxoZmzZplabVMZqytralcuTL79+/XHbt16xa3bt3Cz88PPz8/vYn3uXPniI6Olom3EEIIIcQ77m2Yn2fm8ePHhIeHExQUxLJly1iyZAm+vr7Y2NgYdX1sbCzh4eFcu3aNWbNmsW3bNho0aKA7Hx0dzdGjR6latSrjxo3D0dERe3t7ChcuzNq1azOtv0aNGpibm+vN5Q8cOICdnR1Vq1alSpUqenN5ScsohHidSBBdCCFMLCoqirt371K+fPkMy5UrV47bt2/z6NGjbLdVsWJFXF1dM31MmzYty3UHBATobq3MzJUrVwDo168flpaWrFmzhqlTp7J//34aNmxo0g8JNWvW5ObNm9y5cwdImVynBtf9/Pw4e/asbkxTJ+gy8RZCCCGEeHe9LfPzzMyZMwdXV1e8vb3p2bMnNWrUYPXq1UZf/9lnn+Hq6krRokUZOXIkH3zwAfPnz9edv3btGqqqsnr1an7++WemTZtGQEAArq6udOrUie3bt2dYv62tLRUrVkwTRK9WrRrm5ub4+fnpndu/fz+2trZUqlQpC6MghBAvh2wsKoQQJpY66c4sZUnq+UePHmU7vUlAQACPHz/OtFzhwoWzVO+///7LiRMnGDFiBBpN5n9vjYmJAcDd3Z2tW7fqrsmfPz+dO3cmMDCQPn36ZKkPhtSsWZPp06ezb98+OnXqxIEDB6hcuTKWlpb4+vrqUrg0atRIF2CvUqWKSdoWQgghhBBvnrdhfm6Mzp07U6VKFcLCwvjtt9+4f/++UX1JNXz4cNq3b8/du3dZu3YtycnJeqlgUuf8ERERHD58mOrVqwPQunVrvL29mTRpEk2bNs2wjZo1azJr1izu3buHu7s7Bw4c0G3m+t577/Hdd98RFxeHra0tBw4coHr16pibS+hKCJHz5J1ICCFM7NnJd0YePXqEoijkyZMn222999572b42IwEBAQBGpXIBdLeIfvjhh3pB9w4dOvDRRx9x8OBBkwXR33vvPRRF4cCBA7ogeqNGjQBwcnLCx8dHd+zAgQNUrVoVS0tLk7QthBBCCCHePG/D/NwYBQsWpGDBgkBKQL1fv340bNiQy5cvG5XSpWTJkpQsWRKA7t2707hxY1q1asWRI0dQFEVXh7e3ty6ADmBvb0+rVq1YuXIlSUlJGQa9U4PoBw4coEGDBvzzzz+6Vfl+fn4kJSVx9OhRChYsSEhIiMk+QwghxIuSILoQQpiYo6Mjnp6enD17NsNyZ8+eJX/+/LoAr7m5OZ999hlnzpwhNDSU6dOn6+UgTE9YWBjJycmZ9sne3h57e3ujX0NgYCAlSpSgcuXKRpX39PQEUnKiP8vMzAwXFxcePHhgdNuZcXFxoWTJkuzfv5+YmBjOnj3L+PHjdedTbwO9ffs2wcHBRv8hQAghhBBCvJ3ehvl5drRv354ff/yRv//+myZNmmTr+v79+/Pvv/9SokQJg3N+ADc3NxITE4mNjcXR0dFgnalpFlNTtQD4+voCKRu8FitWjP3793Pr1i298kIIkdMkJ7oQQrwErVq14saNG3o5/Z61b98+goKC6NChg+5YcnIyDRo0YPv27axcuZLu3bujqmqG7VStWhUPD49MHzNmzDC670eOHOHq1atZCj6nBttT85SnSkhIIDw8HFdXV6PrMkbNmjU5d+4cf/zxB8nJyfj5+enO+fn5ceTIEfbu3asrK4QQQggh3m1v8vw8u1JTuURFRZnkek9PT9zd3dPM+QHu3r2LtbV1pmlw3NzcdIHyAwcO4OPjg5OTk+68n58fBw4c4MCBA5iZmekC7EIIkdNkJboQQrwEI0eOZMWKFfTv35+///4bFxcX3bnIyEg++eQTHBwcGDx4sN519erVA8DHxwcg0wD0y8i5GBgYCECXLl3SPR8XF0dwcDB58uTR3epat25d3NzcCAgIYNy4cVhbWwOwdOlSkpOTdelWTKVmzZr8+OOPzJgxg2LFiumNkZ+fHzExMXz//fdoNBq9ALsQQgghhHg3vcnz88yEhYWl26fFixejKIrexpzh4eGEh4fj5eWlWwkeGhqKm5ub3rWJiYksX74cGxsb3WsH6NixI3PmzGHnzp26OX54eDibNm2ifv36Ru2nVLNmTVasWIGiKGnm6n5+fowePZrg4GDKlSuX7dz0QghhahJEF0KIl6Bo0aIsX76czp07U7ZsWXr37o23tzdBQUEsXryYBw8esHr1ary9vfWu27NnD40bN+bixYsAmeZjNHXOxeTkZNasWUONGjUoUqRIumWOHj1KvXr1GD9+PBMmTADAysqK6dOn06NHD2rXrs1HH31EcHAwc+bMoVatWrRt21Z3fVRUFPPmzQPgwIEDAMyfPx8nJyecnJzSfHBJT+rq8kOHDtGzZ0+9c8WLFydPnjwcOnSIsmXL6q1sEUIIIYQQ76Y3cX5+9uxZNm/eDMDVq1eJiopi0qRJAJQvX55WrVoB8M0333DgwAGaNm2Kl5cXkZGR/PLLLxw7dowhQ4ZQtGhRXZ3z589n4sSJ7Nmzh7p16wLQv39/oqOjqV27Nvny5ePevXsEBARw6dIlZs6cqZd2ZuzYsaxdu5Z27drx6aef4ujoyA8//EBiYiKTJ0826nXVrFmTJUuWcOzYMQYNGqR3zs/Pj6ioKKKiohgyZEi2x04IIUxNguhCCPGStGvXjpMnTzJlyhR++uknQkND0Wq1WFtbc+LECb0VHZCSP3z//v3MnDmT0NBQli9fjqIor7TPf/75J/fv3+fzzz/P8rXdu3fH0tKSqVOnMmrUKJycnOjfvz+TJ0/GzMxMV+7Bgwd88cUXetfOnDkTSNkMyZggeuHChfH09OTu3bvprjT38/Nj8+bNkspFCCGEEELovGnz85MnT6aZN6c+79Gjhy6I3qJFC65du8bPP/9MWFgY1tbWlCtXjiVLltCjR49M2+nYsSOLFy/G39+fiIgIcuXKReXKlfn2229p3bq1Xtm8efOyf/9+Ro4cyaxZs0hMTMTX15eVK1dSvnx5o17Xs3P05+fypUuXxsnJiYcPH8pcXgjxWlHUzBJ6CSGEMJnly5fTs2dPunXrxvLly/XOmZubk5SUlEM9E0IIIYQQ4t0j83MhhBDGkJXoQgjxCnXv3p2QkBD+7//+j/z58xt9y6MQQgghhBDC9GR+LoQQwhiyEl0IIYQQQgghhBBCCCGEMCDzbZOFEEIIIYQQQgghhBBCiHeUBNGFEEIIIYQQQgghhBBCCAMkiC6EEEIIIYQQQgghhBBCGCBBdCGEEEIIIYQQQgghhBDCAPOc7sDLptVquXv3Lrly5UJRlJzujhBCCCGEeEeoqsqjR4/w9PREo5G1KxmRObsQQgghhMgJxs7Z3/og+t27dylQoEBOd0MIIYQQQryjbt26Rf78+XO6G681mbMLIYQQQoiclNmc/a0PoufKlQtIGQgHB4dX2nZiYiJ//PEHjRs3xsLC4pW2/baSMTU9GVPTkzE1PRlT05MxNT0ZU9N708c0OjqaAgUK6OajwrDsztnf9O+R15GMqenJmJqejKnpyZianoyp6cmYmp6MqfFz9rc+iJ56O6iDg0OOBNFtbW1xcHB4Z78RTU3G1PRkTE1PxtT0ZExNT8bU9GRMTe9tGVNJT5K57M7Z35bvkdeJjKnpyZianoyp6cmYmp6MqenJmJqejOl/MpuzS3JGIYQQQgghhBBCCCGEEMIACaILIYQQQgghhBBCCCGEEAZIEF0IIYQQQgghhBBCCCGEMOCtz4kuhBBCCCGEEOlJ1qocvRFJ6KN43HJZU83bGTON5LAXQgghAJKTk0lMTMzpbugkJiZibm5OfHw8ycnJOd2dt8K7MKYWFhaYmZm9cD0SRBdCCCGEEEK8c7afD2HilguERMXrjnk4WjO+lQ9Ny3jkYM+EEEKInKWqKvfu3ePhw4c53RU9qqri7u7OrVu3ZON2E3lXxtTJyQl3d/cXeo0SRBdCCCGEEEK8U7afD2HAypOozx2/FxXPgJUn8e9WSQLpQggh3lmpAXQ3NzdsbW1fm+CqVqslJiYGe3t7NBrJUG0Kb/uYqqpKXFwcoaGhAHh4ZH9+984E0WMTYjFLSLt030xjhrW5tV45QzSKBhsLG6PLmj8zvHGJcajq89P0FIqiYGthm62yjxMfo1W1BvthZ2mXrbLxSfEkaw3fxpGVsrYW/73hPkl6QpI2KdtlExMTiU+OJzYhFgdzBzRKyg94QnICicmGbzGysbAxuqy1uTVmGrMsl01MTiQhOcFgWStzK8w15lkum6RN4knSE4NlLc0ssTCzyHLZZG0y8UnxemNqoVroylqYWWBpZqlX1pBny2pVLY8TH5ukrLnGHCtzK+DpG19inEnKZuXn/kXfI54d04zKyntExu8Rqd+nz77uzN5PsvJz/y6+R6T3s5/ee4Qh8h6Rftn03k9TZXUeIe8RKd+nWfm5z8qc41W9R4jXT7JWZeKWC2kC6AAqoAATt1ygkY+7pHYRQgjxzklOTtYF0F1cXHK6O3q0Wi0JCQlYW1u/lQHfnPAujKmNTcrnqtDQUNzc3LKd2uWdCaJ7zvQE67THmxdrztYuW3XP3Wa4GfxgXadgHfb23Kt7XmhOIcLjwtMtW8WzCgd7HtQ991ngw82om+mW9XH14Z+B/+ieV/2xKhfCLqRbtqBjQYKGB+me115am+N3j6dbNo9tHsJGhemeNwtoxl83/0q3rK2FLbHj/vsw325tO36/8nu6ZQHU8f997Pho40esv7DeYNmYsTG6D8v9f+vPsjPLDJYNHRmKq50rAJ/u+JTvj3+ffsFzcGPYDQo5FQLg812fM+PQDIP1nh9wntJupQGYvG8yE/+aaLDs0T5HqZqvKgBzDs9h9J+jDZbd02MPdQvVBWDRiUUM3jbYYNnfOv9Gi+ItAAg4F0CvTb0Mll3bfi0dSncAYOPFjXy4/kODZZe8v4SeFXoCsOPqDlquammw7Pxm8xlUbRAA+4L3UW9Zvf9OntMvO63hNEa9NwqAkyEnqfZTNYP1jq8zngl1JwBwMewiZfzLGCw70nck0xtPByA4KhjvOd4Gyw6sMpAFLRYAEB4XjtsMN4Nle5TvwdI2S4GUAJL9FHuDZdv7tGddh3W65xmVfZH3iGILihH+2PB7xLG+x3TP5T3CuPeIO/Xv4GnpCWTyHoG8R6TK9D3imZ/9DN8jniPvESmef4/o8U8PnpxL/48aWZ1HyHtEitVlV+v+bbJ5BK/mPcL/mL/BciLnHL0RqZfC5XkqEBIVz9EbkfgWeb2CB0IIIcTLlpoD3dbWNpOSQrw5Ur+fExMTsx1Efzv/xCCEEEIIIYQQ6Qh9ZDiAnp1yQgghxNvodUnhIoQpmOL7WVEN3e/7loiOjsbR0ZG7YXdxcHBIc/5lp3P5/fffad68OYkkvpO3YYPp07ns2LGDJk2a4GAr6VzANOlcUsfUwkLSubxI2dT3iMTERH7//XfqNKyjN6bplU31rqZqAOPTuezYsYMPWn6ApaVlhmVTSTqXFBmlc3n+Z1/SuaTI7ntEYmIiG7ZsSPN+mkrSuWS9bGJiInt37qVFixZYWFi8celcwh+E4+rsSlRUVLrzUPGf1Dl7Vscq9Xdu8+bNDf7Ofd6haxF0/vFwpuVW9a3xTq5Ez86YiozJmJqejKnpyZia3ps6pvHx8dy4cQNvb2+srdNJ6ZCDtFot0dHRODg4vLWpR161d2VMM/q+NnYe+s6kc7GztNP7wJZRuazUmZHUW2AAvQ+smclK2Wc/YJuy7LPBA1OWtTK3wgqrbJdNVBKxNrPGztJO92EWUgI/qUGXzLysshZmFrrgkynLmmvMMbc07kc1K2XNNGbYWdrpjamhX+ypZY2hUTQvpayiKC+lLJj25/75ssZOluQ9IoWh94jU79Nn/3qclfcTeY9IWzazn/2s/NzLe8R/Mns/zW697+p7RKKSmO2f+9flPUK8fqp5O+PhaM29qPh086IrgLujNdW8nV9114QQQgjxAnr27MmyZSmp/8zNzXF2dqZcuXJ07tyZnj17ZilIvHTpUoYPH87Dhw9fSl+DgoLw9jacuhJgyZIl9OzZ86W0L7Lu7f0TgxBCCCGEEEI8x0yjML6VD5ASMH9W6vPxrXxkU1EhhBDiBSVrVQ5di2DT6TscuhZBsvblJ8No2rQpISEhBAUFsW3bNurVq8ewYcNo2bIlSUmG71J81QoUKEBISIju8dlnn1G6dGm9Yx07dszpbopnSBBdCCGEEEII8U5pWsYD/26VcHfUvxPC3dEa/26VaFrGI4d6JoQQQrwdtp8Poea3u+n842GGrT5N5x8PU/Pb3Ww/H/JS27WyssLd3Z18+fJRqVIlxo0bx6ZNm9i2bRtLly7Vlfvuu+8oW7YsdnZ2FChQgIEDBxITEwPA3r176dWrF1FRUSiKgqIoTJgwAYAHDx7QvXt3cufOja2tLc2aNePKlSu6em/evEmrVq3InTs3dnZ2lC5dmt9//z1NP83MzHB3d9c97O3tMTc31ztmY2P8naDi5ZMguhBCCCGEEO8If39/ypUrh4ODAw4ODvj6+rJt2zbd+WvXrvHBBx/g6uqKg4MDH374Iffv38+wzgkTJug+YKY+SpYs+bJfygtrWsaD/WPqs6pvDeZ0qsCqvjXYP6a+BNCFEEKIF7T9fAgDVp4kJEp/36R7UfEMWHnypQfSn1e/fn3Kly/Phg0bdMc0Gg1z587ln3/+YdmyZezevZvRo0cD4Ofnx+zZs3FwcNCtCh85ciSQkjLm+PHjbN68mUOHDqGqaspeiE9TOg8aNIgnT57w999/c+7cOb799lvs7e2z3feWLVtSs2ZNypcvz9atW19gFMSLem2C6FOnTkVRFIYPH647Fh8fz6BBg3BxccHe3p527dplOokXQgghhBBCpC9//vxMnTqVEydOcPz4cerXr8/777/PP//8Q2xsLI0bN0ZRFHbv3s2BAwdISEigVatWaLWGN5UF0tx+vH///lf0il6MmUbBt4gL71fIh28RF0nhIoQQQrygZK3KxC0X0t13JPXYxC0XXklql2eVLFmSoKAg3fPhw4dTr149ChUqRP369Zk0aRJr164FwNLSEkdHRxRF0VspfuXKFTZv3sxPP/1ErVq1KF++PAEBAdy5c4dff/0VgODgYN577z3Kli1L4cKFadmyJbVr1852v+fNm8f+/ftZvXo1/fv3f5EhEC/otdhY9NixYyxcuJBy5crpHR8xYgRbt25l3bp1ODo6MnjwYNq2bcuBAwdyqKdCCCGEEEK8uVq1aqX3/JtvvsHf35/Dhw9z584dgoKCOHXqFA4ODgAsW7aM3Llzs3v3bho2bGiw3tTbj4UQQgjxbjt6IzLNCvRnqUBIVDxHb0TiW8TllfVLVVW9Dev//PNPpkyZwqVLl4iOjiYpKYn4+Hji4uKwtbVNt46LFy9ibm5O9erVdcdcXFwoUaIEFy9eBGDo0KEMGDCAP/74g4YNG9KuXbs08c6sSN18VFGULG2MKkwvx0c/JiaGrl278uOPP5I7d27d8aioKBYvXsx3331H/fr1qVy5MkuWLOHgwYMcPnw4B3sshBBCCCFetmStypEbkZwIVzhyIzLd1UqZbVaVE5tZvUmSk5NZvXo1sbGx+Pr68uTJExRFwcrKSlfG2toajUaT6cryK1eu4OnpSeHChenatSvBwcEvu/umERMGv/SB+//kdE+EEEKIt0LoI8MB9OyUM5WLFy/qAtJBQUG0bNmScuXK8csvv3DixAkWLFgAQEJCwgu106dPH65fv85HH33EuXPnqFKlCvPmzXuhOlVVZfjw4YwaNeqF6hEvJsdXog8aNIgWLVrQsGFDJk2apDt+4sQJEhMT9Va8lCxZEi8vLw4dOkSNGjXSre/Jkyc8efJE9zw6OhqAxMREXX6iVyW1vVfd7ttMxtT0ZExNT8bU9GRMTU/G1PRkTLMmWaty/OYDQh89wS2XFVUK5tal0tjxz30m/X6Je9FPADOWXzmOu4MV/2tekial86ZTJsWzZTI7/yq8rt8L586dw9fXl/j4eOzt7dm4cSM+Pj64urpiZ2fHmDFjmDx5Mqqq8n//938kJycTEmI4d2n16tVZunQpJUqUICQkhIkTJ1KrVi3Onz9Prly50r3GVHP2F/250+yfjdm5dXBuHdqSrUmuNRLcfLJV19tC3stMT8bU9GRMTU/G1PTe1DFNTExEVVW0Wm2m6dzS42pvaXS5rNavqqrua3rXqqqa7rndu3dz7tw5hg0bhlar5dixY2i1WqZPn65b3b1mzRoA3es2NzcnOTlZr64SJUqQlJTEoUOH8PPzAyAiIoLLly9TsmRJXdl8+fLRr18/+vXrx7hx4/jxxx8ZNGiQUa8tvdc1depUAAYOHJit/xNj2jU0pm8LrVaLqqokJiZiZmamd87Yn9EcDaKvXr2akydPcuzYsTTn7t27h6WlJU5OTnrH8+bNy7179wzWOWXKFCZOnJjm+B9//GHwdoyXbefOnTnS7ttMxtT0ZExNT8bU9GRMTU/G1PRkTEGrwrVohehEcLCAIg4qz6aaPhOhsCFIw8OE/w46Waq0LZQycf/539SbJf87fy86nsGrT/Nx8czL1PfQsjsk4zrKu7z8VelxcXEvvY3sKFGiBKdPnyYqKor169fTo0cP/vrrL3x8fFi3bh0DBgxg7ty5aDQaOnfuTKVKlTK8fbhZs2a6f5crV47q1atTsGBB1q5dS+/evdO9xtRz9uz+3OV67EkJp2p4PjyG5tJmNJc2c8epKpfd2/DIpkC26nxbyHuZ6cmYmp6MqenJmJremzamqSnaYmJisrUqu4SzOXlzWRL6KCHdvOgK4JbLkhLO5ro/omfVo0eP0j2emJhIbGwsV65cITk5mbCwMP78809mz55NkyZNaNOmDdHR0bi7u5OYmMiMGTNo2rQphw8f5ocfftDVrdFocHV1JSYmhi1btlCmTBlsbGzImzcvzZs3p2/fvnz33XfY29szceJEPDw8qFevHtHR0YwdO5aGDRtStGhRHj58yK5duyhatGimr/XJkyckJyenKbd161ZWrVrF1q1bDb5uU3iZdb8OEhISePz4MX///TdJSUl654ydsytq6p8cXrFbt25RpUoVdu7cqcsNVLduXSpUqMDs2bMJDAykV69eeitUAKpVq0a9evX49ttv0603vVUtBQoUIDw8XJfb8VVJTExk586dNGrUCAsLi1fa9ttKxtT0ZExNT8bU9GRMTU/G1PTepTE1fhV5iudXiA9ZfSbNhyqFlByZTjYWPHyc/moQBcjrYAkoevU/T6OkBPIN1eHuaMWeT2u/9E0ko6OjyZMnD1FRUa98HpoVDRs2pEiRIixcuFB3LDw8HHNzc5ycnHB3d+ezzz7L0i3EVatWpWHDhkyZMiXd86aas5vs5y70Imb7Z6Bc3Izy9LvzXV2Z/i69l70qMqamJ2NqejKmpvemjml8fDy3bt2iUKFCWFtbZ6uO7efvMSjwFIDenC915rWgS0Walsn6XiqqqvLo0SNy5cqll988Va9evVi+fDmQ8seA3LlzU65cOTp37kyPHj30FgXMnj2bGTNm8PDhQ2rVqkWXLl3o2bMnERERugW9AwcOZP369URERPDll18yfvx4Hjx4wPDhw9myZQsJCQnUqlWLuXPnUqxYMSAlJ/r27du5ffs2Dg4ONGnShO+++w4Xl4zzv0+cOJFNmzZx8uRJveOOjo4UKlRId/3WrVuxsbHJ8tgZktmYvi3i4+MJCgqiQIECab6vjZ2z59hK9BMnThAaGkqlSpV0x5KTk/n777+ZP38+O3bsICEhgYcPH+qtRr9//36GmxZZWVnp5XFMZWFhkWNvWjnZ9ttKxtT0ZExNT8bU9GRMTU/G1PTe9DFN1qocvRFJ6KN43HJZU83bWS/YvP18CBO3XNDbMMrD0ZrxrVICjekFyO9HP2HI6jMs6FKRb7ZdTndVUuoxQwH01DL3ojNfEfV8AN2M5JTXhtnTzayecOr2o5e+mdWb8n2g1WrTLFzJkycPkHL7c2hoKK1btza6vpiYGK5du8ZHH31ksIyp5+wv/HOXrxx0XA73L8Df0+CfX3Ur0/F5H+qMgbyls1//G+hNfy97HcmYmp6MqenJmJremzamycnJuk0ss7uRZfNynvhrlDRzRvenc8amZTyyVW9quhFDm2wuW7aMZcuWGVXXp59+yqeffqp3rEePHnrPf/jhB90K9VQuLi6sWLHCYL3z5883qv3nTZw4Md279F72CvHMxvRtodFoUBQl3Z9HY38+cyyI3qBBA86dO6d3rFevXpQsWZIxY8ZQoEABLCws2LVrF+3atQPg8uXLBAcH4+vrmxNdFkIIIYR4q2UUIG9axoPt50MYsPJkmiD4vah4Pll5EidbC4MBcgX436bzRMZmLy+oOUk4EoujEosTMTgqsTgSi5MSo/vqoMTiQBwOShwOT8s6EIe9Ek/fhE/Zqa2iq+9Vb2b1uhg7dizNmjXDy8uLR48eERgYyN69e9mxYwcAS5YsoVSpUri6unLo0CGGDRvGiBEjKFGihK6OBg0a8MEHHzB48GAARo4cSatWrShYsCB3795l/PjxmJmZ0blz5xx5jS8krw90WAq1/wumc2FTyuMdDaYLIYQQ2dG0jAeNfNwzXJwhxJskx4LouXLlokyZMnrH7OzscHFx0R3v3bs3n376Kc7Ozjg4ODBkyBB8fX0NbioqhBBCCPEuy2wVeUZlMgqQD1h5kgVdKvL11osZryKPy3gVeWRsArl4jOMzge+Ur7FPA+Rpjzs8DZrbKy8W9HZAP9ehW67s3Z78pgsNDaV79+6EhITg6OhIuXLl2LFjB40aNQJSFq2MHTuWyMhIChUqxOeff86IESP06rh27Rrh4eG657dv36Zz585ERETg6upKzZo1OXz4MK6urq/0tZmUBNOFEEKIF2amUV76nX9CvCo5urFoZmbNmoVGo6Fdu3Y8efKEJk2a8P333+d0t4QQQgghckRGQfLMVpFnVOaLFqUyDJCnt4rcgiSceISzkvLIzSNyKzHkfnost/KI3MSkrBB/JjBuprzYdjzR2PEIeyK0tkSpdkRhT5Rqx0PsiFbtiMKOR9gRpaacjybl6yNSNqtMyYmeMnbvosWLF2d4furUqUydOjXDMkFBQXrPV69e/aLden1JMF0IIYQQQvCaBdH37t2r99za2poFCxawYMGCnOmQEEIIIcQr8qK5yDNaRe7frVKGZYYGHiM3MRRTYnAmJQD+X2D86fOER+S2fPT0fAy5lMfZfq3xqgUPseehak8UdinB8KcB8XgLB+4n2OgC4ylf7YlW7YjGjgXdquheC6S/WVW/2t78/vcNg+fHt/KRW4lF1mQUTC/VGmqPAo9yOd1LIYQQQgjxkrxWQXQhhBBCiDdRslblyI1IToQruNyIxLeom9FpVMD0ucg1aHHmES5KFHmUaA5sPEpuovnMPII8ROGiRJNHidatGndQ4siOZFXhAbl4oObiAfY8UHMRqebiASlfo7DjgZpLFyC3yuXMoGZVGLDmApB+gNu/UyWKQrrjMeWZVfX+3SpluFlVRa/cJt/MSoh0g+kXN6c8ijWB2iOhQLWc7qUQQgghhDAxCaILIYQQQmTC+AC4GcuvHDc6jYoxq8gXdKnI179dwJbHKcHvp0HwZ/+dJzEKF4to3XFnHqF5Nm1K8tOvGcz8tKqiC4Q/HxB/oNrzgFwkWjkT/NiayKeB82hsUdEAKUFwR1sLop7mRU83QN66Ek3LeOBvYZ1pgLuRjzuHrobyx74jNK5VPc0fJjLbrEo2sxIvVWowvc5F2PcdnF8PV3akPLxrQ62RKV8V+X4TQgghhHgbSBBdCCGEEO+0nEyjMmzlYYraxFBRCcdNeYib8gBXJQo3HpJHiSKPEoXbhmj2qFFYWxvetDM9WlUhklxEqA4pDxwIVx0JVx2JwIFINRfhqiMPsSdSzUU0dmifBsSfl5pH/IsWPgwKNJxGZWrbskDaVeTPB8iNCXCbaRSqezsTcVGluoHgd2abVclmVuKlcysF7X6Euv8H+2fBmdVw4++UR/5qKSvTizWWYLoQQgghxBtOguhCCCGEeGeZOo1KChVHYsirPGTrr5dwUR/S1yzsaZD8Ia5EPQ2WP8RBeZwSjbbKpKNP42+xqtXTgLgj4U+D4+E4Pg2UOxKOg+7fkeQyGBTPrClDecSblvHAX5NxGhXAqBXgEuAWbxWXIvD+/JSNRg/OhZPL4fZRCPwQ3MumrEwv1Ro0Wf+ZFEIIIYQQOU+C6EIIIYR4qxlaaZ5RgFyXRmXrxWfOqzgQR17lAe5KZMrjSSR5zR/8FyBXHuLKQyyVp/lTkp5eamG4f/GqBaGqE6HkJkx1TPm3mptwXaD8v+D4Y6yz/PoVIK+DFaBwPzo+naC//krzr7eaZhW5BMjFO8mpADSfnhI0PzQfjv8M987Buh6QpzjU+gzKtAcz+RgmhBBCCPEmkdmbEEIIId5Y2U3F8kWLUnoBcjOSyUMUHkokeZVIPJQH3N+4hlFJEbhbPA2YKw+wVZ4Y3bdI1Z4w1YlQ1Ykwnn59+gjF6WnAPDePsOG/9d7pc7azJD42Id1zxuQin9C6NJCSViazleZNysgqciFeWK680PhrqDkCjvyQ8gj/Fzb2hz2ToeZwqNAVzDO7DUUIIYQQphQUFIS3tzenTp2iQoUKOd0dYcCECRP49ddfOX36tNHXKIrCxo0badOmzUvpkwTRhRBCCPHaMn5DzxTppWKxIJECSiT5lAg8iMA95gFhayOYoDwgr2VKcNyVh5gpz63RVgGztH16oNpzT83NfdU55SvO3Ff/W0UepjoRjiMJGS0/N9LzucgNBcCNzUXu3y3zVCwSIBfChGydod448B0MxxfDwfnw8Cb8NgL+mg5+Q6ByD5LNbWUTXCGEEMJEDh06RM2aNWnatClbt27VO1egQAFCQkLIkyePSdpaunQpw4cP5+HDhyapT6QYOXIkQ4YMyelu6JEguhBCCCFyhGk29FTJzSM8lQjyKeHki4ng1urFhBRMJv/daxy2CsOVKDTPB8jTkaiaEYoT99Xc3FNTAuMhqvPTfztzj9zcV3MTn2kC8xTGplHJbBW5KXORG5OKRQjxElg7pKxKr9YfTi6DA3Ph0V3YMZaEPd+yPLkxC2Lr8wAHQP8PgkIIIYTImsWLFzNkyBAWL17M3bt38fT01J0zMzPD3d09B3snjGFvb4+9vX1Od0OP7GwjhBBCiCxL1qocuhbBptN3OHQtgmRt2hBxRmW2nw+h5re76fzjYYatPk3nHw9T89vdbD8fojs/YOVJIqOiKajcw1fzD+3N/qJDTCAPV3+C4/oP+dPyMy5a9eKU9SdstfqcRZazGG+xnL7mW/G4s50y6hXyKg/RKCrxqgXXtB7sTy7NL8m1mJ/0Pv9L7EXfhE9p9WQSVeMXUOLJMt57Mo+2CV8xMHE4E5N6sN66HVu073FELcVN1V0vgK4ATrYWKKRNxvJsGpUJrX30jj1fZmrbsvh3q4S7o36+c3dHa/y7VdLLRb5/TH1W9a3BnE4VWNW3BvvH1NcLsqWuIn+/Qj58i7ikGxw3powQ4iWxtIUaA2DYaWg5m1g7LywTHtIneS0HrIYx3nwZ+QjT7c2Q+p4ohBBCCOPExMSwZs0aBgwYQIsWLVi6dKne+aCgIBRF0aUJWbp0KU5OTnplfv31VxTlvznymTNnqFevHrly5cLBwYHKlStz/Phx9u7dS69evYiKikJRFBRFYcKECQA8efKEkSNHki9fPuzs7KhevTp79+7NsO8PHz6kT58+uLq64uDgQP369Tlz5gwAYWFhuLu7M3nyZF35gwcPYmlpya5du4CUFCgVKlRg4cKFFChQAFtbWz788EOioqJ012i1Wr766ivy58+PlZUVlSpV4s8//0wzPhs2bKBevXrY2tpSvnx5Dh06pNfX/fv3U6tWLWxsbChQoABDhw4lNjZWd75QoUJMnjyZjz/+mFy5cuHl5cWiRYv06rh9+zadO3fG2dkZOzs7qlSpwpEjR/ReS6pjx47RqFEj8uTJg6OjI3Xq1OHkyZMZjqepyUp0IYQQQmRJZmlUMisD6Db0tCKBfEo4BZQwCsSEErR6CSEFE/G6e5WjVmG4KlEY9MxSgFDVibuqC3dUF+6qebj79Gvq80hykVne8WflRBoVY1aIS6oVId4S5lYkV+pJ4z/yUSFhH5+Yb6asJohe5jv4yGwnm7V+LEpqycQt1jTycZc/dgkhhBBGWrt2LSVLlqREiRJ069aN4cOHM3bsWL2geFZ17dqVihUr4u/vj5mZGadPn8bCwgI/Pz9mz57Nl19+yeXLlwF0q6cHDx7MhQsXWL16NZ6enmzcuJGmTZty7tw5ihUrlm47HTp0wMbGhm3btuHo6MjChQtp0KAB//77L66urvz888+0adOGxo0bU6JECT766CMGDx5MgwYNdHVcvXqVtWvXsmXLFqKjo+nduzcDBw4kICAAgDlz5jBz5kwWLlxIxYoVWbx4MV26dOHcuXOUKFFCV8/nn3/OjBkzKFasGJ9//jmdO3fm6tWrmJubc+3aNZo2bcqkSZP4+eefCQsLY/DgwQwePJglS5bo6pg5cyZff/0148aNY/369QwYMIA6depQokQJYmJiqFOnDvny5WPz5s24u7tz8uRJtFptumPz6NEjevTowbx581BVlZkzZ9K8eXOuXLlCrly5sv1/mxUSRBdCCCFEGoZSraSuEH9+3Xnqqkn/bpWA/4LkZiTjoURSQAmlQEwYl1evoIh5OGst71NACcNdeZC28TvgAbpIdZxq9TQo7sKdZwLkd0l5fk91fqH845lttGlsGpVDV0P5Y98RGteqjm9RtyynUZEAuRDvlqM3IrkTncgdarA1oTrvac4zwGwzNc3+oa3Zftqa7Wd3XAUuHk6gjG9TeIEP/0IIIcQLUVVIjMuZti1ss/Q7cPHixXTr1g2Apk2bEhUVxV9//UXdunWz3YXg4GBGjRpFyZIlAfSC4I6OjiiKopciJjg4mCVLlhAcHKxLJTNy5Ei2b9/OkiVL9FaTp9q/fz9Hjx4lNDQUK6uUu19nzJjBr7/+yvr16+nXrx/Nmzenb9++dO3alSpVqmBnZ8eUKVP06omPj2f58uXky5cPgHnz5tGiRQtmzpyJu7s7M2bMYMyYMXTq1AmAqVOnsmvXLubMmcP333+vq2fkyJG0aNECgIkTJ1K6dGmuXr1KyZIlmTJlCl27dmX48OG68Zg7dy516tTB398fa+uUO2ybN2/OwIEDARgzZgyzZs1iz549lChRgsDAQMLCwjh27BjOzs4AFC1a1OD/Qf369fWeL1q0CCcnJ/766y9atmxp8DpTkiC6EEII8Y5J1qocuRHJiXAFlxuRaQK+hlaRf9GiFF9vvZgmgO5ADIWU+xRS7hO0cQueaigrLe5RQAnFQ4nEQklO24lnVpHHqVbcUl2fPty4/fTfd1RX7qguPMSerKwiT+VsZ8mD2ASDuchTV5p/vTXjALmxAfDq3s5EXFSpbiDHuATJhRDPCn0U/8wzhQPashzQlqVM0nU+Md9CM81R6pudhj86wYWq8N5wKNEcNJKRUwghxCuWGAeTPTMv9zKMuwuWdkYVvXz5MkePHmXjxo0AmJub07FjRxYvXvxCQfRPP/2UPn36sGLFCho2bEiHDh0oUqSIwfLnzp0jOTmZ4sWL6x1/8uQJLi7pfx44c+YMMTExac4/fvyYa9eu6Z7PmDGDMmXKsG7dOk6cOKELuKfy8vLSBdABfH190Wq1XL58GVtbW+7evct7772nd0316tW5dOmS3rFy5crp/u3hkfK5KDQ0lJIlS3LmzBnOnj2rW90OoKoqWq2WGzduUKpUqTR1pP6hITQ0FIDTp09TsWJFXQA9M/fv3+d///sfe/fuJTQ0lOTkZOLi4ggODjbqelOQILoQQgjxlslow079ALkZy68c10vFkv5Kc5WkqPv8tOosvso9CpqnBMwLKvcopNzHSYl9pvGnX83+O/RENeeOmofbquvTALmbXtA8q6lWMmNsKpbU19ykjKRREUK8em65rNM9fl4tzODEYRRU7tHPbCudLfehuX0M1nSFPMXhvWFQ9kMwt3zFPRZCCCFeb4sXLyYpKUlvI1FVVbGysmL+/Pk4OjqmuUaj0aCq+p9+EhMT9Z5PmDCBLl26sHXrVrZt28b48eNZvXo1H3zwQbr9iImJwczMjBMnTmBmZqZ3ztBmmTExMXh4eKSbN/3ZnO3Xrl3j7t27aLVagoKCKFu2bLr1vSgLi//u9E1NhZOaaiUmJob+/fszdOjQNNd5eXmlW0dqPal12NjYZKk/PXr0ICIigjlz5lCwYEGsrKzw9fUlISEhS/W8CAmiCyGEEG8RY3ORP+teVDwDVx7npzb52LxrHx3MbukFyQsq97FX4snIfdWJINU9JUCu/S9Afkt15T65UbO4l3lmq8gdbS2IikuZ3L5oKhYJkAshckI1b2c8HK25FxWf7ntdsOrOfLtBdBr0PRxdCMcWQ/i/sGkQ7P4GfAdC5Z5g9WrygAohhHiHWdimrAjPqbaNkJSUxPLly5k5cyaNGzfWO9emTRtWrVrFJ598kuY6V1dXHj16RGxsLHZ2KSveUzcdfVbx4sUpXrw4I0aMoHPnzixZsoQPPvgAS0tLkpP177ytWLEiycnJhIaGUqtWLaP6X6lSJe7du4e5uTmFChVKt0xCQgLdunWjY8eOlChRgj59+nDu3Dnc3Nx0ZYKDg7l7967uDwmHDx9Go9FQokQJHBwc8PT05MCBA9SpU0d3zZEjR6hRo4ZR/Uzt64ULFzJMv5KZcuXK8dNPPxEZGWnUavQDBw7w/fff07x5cwBu3bpFeHh4ttvPDgmiCyGEEG+QzFaZGwqSf7LyJE62FjgQQxHlLoU1IRRWUh7eSggFlftYb0+kPpBeenGtqnAXF25q83JTzUuQmpebqjs31bzcVN14TPorKrPK1Bt6GpOKRQghcoKZRmF8Kx8GrMz4jhkzB3doOB5qjoATS+Hw9/DoLvzxP/hrOlTuAdU/Acd8aRsRQgghTEFRjE6pklN+++03Hjx4QO/evdOsOG/Xrh2LFy9ON4hevXp1bG1tGTduHEOHDuXIkSMsXbpUd/7x48eMGjWK9u3b4+3tze3btzl27Bjt2rUDoFChQsTExLBr1y7Kly+Pra0txYsXp2vXrnTv3p2ZM2dSsWJFwsLC2LVrF+XKldPlGn9Ww4YN8fX1pU2bNkybNo3ixYtz9+5dtm7dygcffECVKlX4/PPPiYqKYu7cudjb2/P777/z8ccf89tvv+nqsba2pkePHsyYMYPo6GiGDh3Khx9+qMvZPmrUKMaPH0+RIkWoUKECP//8M+fOnSMwMNDosR4zZgw1atRg8ODB9OnTBzs7Oy5cuMDOnTuZP3++UXV07tyZyZMn06ZNG6ZMmYKHhwenTp3C09MTX1/fNOWLFSvGihUrqFKlCtHR0YwaNSrLq9lflATRhRBCiNeI8alYUqSuMm/k487ELRdQAXOSKKjc1wXJCyshFNbcpXByCC7Wjwy2naRquKW6Pg2Ou3FTdX8aLM/LLdUt0807FSCvgxWgcD86/ZWVpl5FbkyAXFaaCyFeV03LeODfLfP3OgCsHeC9oVC9P5xdAwfmQsQVODg3JbBeui34DQaP8jnwSoQQQoictXjxYho2bJhuypZ27doxbdo0zp49i4ODg945Z2dnVq5cyahRo/jxxx9p0KABEyZMoF+/fgCYmZkRERFB9+7duX//Pnny5KFt27ZMnDgRAD8/Pz755BM6duxIREQE48ePZ8KECSxZsoRJkybx2WefcefOHfLkyUONGjUMboKpKAq///47n3/+Ob169SIsLAx3d3dq165N3rx52bt3L7Nnz2bPnj2617BixQrKly+Pv78/AwYMAFI252zbti3NmzcnMjKSli1b6m0YOnToUKKiovjss88IDQ3Fx8eHwMBAvc1SM1OuXDn++usvPv/8c2rVqoWqqhQpUoSOHTsaXYelpSV//PEHn332Gc2bNycpKQkfHx8WLFiQbvnFixfTr18/KlWqRIECBZg8eTIjR440uj1TUNTnE/+8ZaKjo3F0dCQqKirND8rLlpiYyO+//07z5s3T5AES2SNjanoypqYnY2p6b8uYZhQgh6ymYlHJQ7RuVXn7Qo95EHyBwkoIXkoo5orWYD9CVGeuaz24rqY+PLmhunNXdSHJyL+vG1o16d+tkq6vZFLG0Gt9NmiU2Zi9Tt6W79PXyZs+pjk5D33TZHes3vTvkVTZeq/TauHKH3BoPgTt++94oVrgNwSKNsrWJqRvy5i+TmRMTU/G1PRkTE3vTR3T+Ph4bty4gbe3N9bWprnb1FS0Wi3R0dE4ODigyeZG25cvX6ZkyZJcuXLlhdKRvI4mTJjAr7/+mm46GkNMMaZvgoy+r42dh8pKdCGEEOIVyChAbnhDT7gX9ZgvV+6ikk0IPc1uUky5QzHNbYopd/Q39LyD3maesaoVN9RnAuVaT66pHtxQPYjLIPVKZrnIU1OtfL0141WTxqyslFXkQgiRIlvvdRoNlGia8rh7Cg4tgPMbUgLqQftSNiH1HQTlOoHF6xUEEUIIIXJCZGQk69evx8HBgQIFCuR0d8QbRoLoQgghhIkYWkmYUa7yAStPsqBLRb7+7QJuRFL8aYC8mHKbYpqUr45KXMqS7ucWsGhVhTtqHl2g/Jrq+TRg7sE9nPlv7XfmjM1FnhoEb1Im4wC4MbnIJUAuhBAm4lkR2v0EDcbDkR/g5PKUTUi3DINdX0O1vlC1D9jlyemeCiGEEDmmd+/enDhxAn9/f6ysrHK6O+INI0F0IYQQwgjZTcXyRYtSfL31ol4aFg8idavJiyu3ybfhLjvU2zhYx6XftqoQpLpzRc3PFTUfV7QpX6+rHjzBUlfOycaCqMeJryQXuTEBcAmSCyHEK+ZUAJp8A3XGpATSj/wAUbdg7xTYPwvKd4Iag8C1eE73VAghhHjlNm7cmNNdeKkmTJjAhAkTcrobby0JogshhBCZyG4qlpioSBavWk0DTTAlzYMpoblFCeUWDsrjtI0oKRt7pgTL8/Gvmp+r2pSvN1SPTDf1BOj1njez//zX4CryqW3LAmlzkT8fIDdmFbkQQojXmLVDyiaj1T+BC7+m5E2/ewpOLE15FG8KvoOhUE1Q5L1dCCGEECIzEkQXQgjxzstolbkxqVgm/3aewsodSiq3KKkJpqQSTEnlFgU0Yem2l6iaceNpsPyqmp9/n64sv6F6kJiNX82pqVgG1y9KCXd7o3KRH7oayh/7jtC4VnV8i7pJLnIhhHgbmZlD2fZQph3cPJiSN/3y7/Dv9pRH3rJQvT+U7SB504UQQgghMiBBdCGEEG+9zILkhlaZN/JxZ+KWC3oB9NxEU0oTTCklJVheaMNt/lRvYW2VmG7bd1VnLmm9uKR6Pf1aIN1gubOdJUmxCenWYWwqFjONYnQu8urezkRcVKkuK8yFEOLtpyhQ6L2UR/hVOPw9nA6E++dg82D4czxU7pWSN91G8qYLIYQQQjxPguhCCCHeahkFyYEMVpmf4IuaDpR5tJ+O5kGUVm7iowkinxKRthEF4lQrLqsFuKgtoBcwj8Y+w/4Zu6GnsalYQFaRCyGEyECeotDyO6j/v5S86Ud/hOjbsG8GHJiNWanW5E4sm9O9FEIIIYR4rUgQXQghxBstu6lYPll5EidbC1RAQYu3co/SShClNUG6r87HY/jYMk2T3NS6cVEtyCW1ABefrjIPVt1Q0WTYV0MB8qxs6Cm5yoUQQpiErTPUHJ6SG/3Sb3BkIQQfRPPPBmqzgegffsWszhA0pduAWeb7cgghhBBCvM0kiC6EEOKNldVULADmJFFcuZ0SLE8IooxlEKWUm9gpT9LUn6RquKLm5x+1EP9oC/KPthAX1YI8wlavnLOdJWSQiiV1pfnXW198Q09ZZS6EEMKkzMyhdBu2q9VZFbKF1vGbaak5hEPEGdjQh/jfx2Ht1y8l3YudpHoRQgghxLtJguhCCCHeSJlt+Dm8YTHuRcVRRAmhnHKdcprrlNdcw0e5ibWSNn/5Y9WSS6oX57WFngbNC/Gvmh8bGzuiHiemaQeMT8WSGihvUibzVeQSJBdCCPGq/fc7NR9/MYApdKGL2S66mf+JW3wo7J4Ef02Hch2g+gBwL5PTXRZCCCGEeKUyvu9cCCGEyGHJWpUjNyI5Ea5w5EYkyVqVZK2azipzlfxKGM00h/k/80D89vfkrFVfdlmNYpalP73Md1BJcxVrJZFo1ZaDyT4sSmrBsISBNHwyjTJPFvNBwld8kfQxq5Prc04tzBMs6fWeN/BfQDzVswHy5uU88O9WCXdHa70y7o7W+HerpFtpnhogf79CPnyLuEgaFiGEEDkuvd+p4TgyN7kt7z2Zy4iEgVxQikDyEzi1En54D5a0gAubIDkpx/othBBCPEtRlAwfEyZMyOkuGjRhwgRKliyJnZ0duXPnpmHDhhw5ckR3fu/evQZf17FjxwzWGx8fz6BBg3BxccHe3p527dpx//59vTLHjh3j/fffx9nZmdy5c9OkSRPOnDmTYX8vX77Me++9R/78+Zk0aVKa86dOnaJDhw7kzZsXa2trihUrRt++ffn333+zODKvF1mJLoQQIsdklM8cnk/XYsbyK8fxcLSmU9UCJEXdo4HmWsoKc+U6ZTXXcVEe6TegpKwwP68W4qy2CGe0hTmrFuammteo/OXujtYMrl+UEu72meYqNyYVixBCCPG6OXojUu/327MSMWejtiYbH7/HlvctKXs7EC5shpv7Ux4O+VLSvFTuAfZur7jnQgghxH9CQkJ0/16zZg1ffvklly9f1h2zt7fPiW4ZpXjx4syfP5/ChQvz+PFjZs2aRePGjbl69Squrq74+fnpvT6AL774gl27dlGlShWD9Y4YMYKtW7eybt06HB0dGTx4MG3btuXAgQMAxMTE0Lx5c5o2bcoPP/yAVqtl/PjxNGnShFu3bmFhkf6eKIMHD6Zbt25Uq1aNTz75hPr16+Pn5wfAb7/9Rrt27WjSpAkBAQEUKVKE0NBQ1q1bxxdffMGaNWtMNGqvngTRhRBC5IiM8pk3LeOhl67FgiRKK0FU1FyhUtwVKu67yjDr8DR1JqhmXFK9OKstzBm1CDcsinP6SV6SMEtTVgEcbS2IiktJ7WIoDYuZRjE6QC6pWIQQQrxpQh+lH0DXp3DdpjRlOyyFqNtwbDGcXA7Rd2DPJPjrW/B5H6r1hQLVQZE/IAshhHi13N3ddf92dHREURS9Y6+zLl266D3/7rvvWLx4MWfPnqVBgwZYWlrqvZbExEQ2bdrEkCFDUAz8zo2KimLx4sUEBgZSv359AJYsWUKpUqU4fPgwNWrU4NKlS0RGRjJ27FhKlCiBRqNh/PjxlCtXjps3b1K0aNF0637w4AGVK1emXLlyeHp68vDhQwDi4uLo1asXzZs3Z+PGjbry3t7eVK9eXVfuTSVBdCGEEC+NoZXmmeUz/+kDT/7e+RvjzC9QUXOVssoNrJ7LY56sKlxV8+kC5me1hbmkepHAf38tH1GvOCf+/NdgrvKpbcsCZLrKHCRALoQQ4u3klss680LPlnPMDw3HQ93/g39+hWM/wu1jcH59yiNvWajWB8p2AEu7l9dxIYQQIov69evHP//8w6NHjxg+fDgff/yx7twXX3zB2rVrqVatGgsWLGDPnj188cUXODk5MW/ePMqXL2+w3k8++YSVK1dm2HZMTIxRfUxISGDRokU4OjoabHPz5s1ERETQq1cvg/WcOHGCxMREGjZsqDtWsmRJvLy8OHToEDVq1KBEiRK4uLiwcuVKJkyYgKqqLF68mFKlSlGoUCGDdX/11Vc0bNiQx48f07JlS5o0aQLAjh07CA8PZ/To0ele5+TklPkAvMYkiC6EEOKlMLTS/IsWpfh660VdUNuSREorQVTSXKGi5goVNVfJty2CBqD3WypSteekthgntcU4pRbjrLYwsdik23ZWU7FIGhYhhBDvqmrezng4WnMvKj7DTbSreTvrnzC3gvIdUx53T6cE08+th/vnYMsw+ONLqNgVqvYBlyKv4JUIIYR42WITYg2eM9OYYW1ubVRZjaLBxsIm07J2Jv5j7NixY/H29iYiIoIiRYrQuXNnbGxs2L59Ow8ePOD48ePMmTOHdu3aERkZyYYNG9BqtQwcOJA///zTYL1fffUVI0eOfKG+/fbbb3Tq1Im4uDg8PDzYuXMnefLkSbfs4sWLadKkCfnz5zdY371797C0tEwTuM6bNy/37t0DIFeuXOzevZs2bdowffp0AIoVK8aOHTswNzccMm7evDlhYWFER0fj6uqqO37lyhUgJVj/NpIguhBCiGzJKJ95RivNPw/8i6qay3xsfpnKmn8prQRhpehvTJakarikenFKWzQlcK4W46aal7Tbe2JwlXlWUrHIKnMhhBDvKjONwvhWPgxYeTLT36kGeVaA9xdAo6/hdAAc+wkeBMHh71MeRepD1b5QvAlo0qZYE0II8Wawn2I4r3jzYs3Z2mWr7rnbDDfiEuPSLVunYB329tyre15oTiHC49Km61THp/fn3ezz9vYGQKNJ2R9LVVPqP3XqFD169CBXrlz873//Y+PGjYwePVqXzsTFxYWEhAQsLS3TrdfNzQ03txfbG6RevXqcPn2a8PBwfvzxRz788EOOHDmSpt7bt2+zY8cO1q5d+0LtATx+/Ji+fftSvXp1Vq1ahaqqzJgxgxYtWnDs2DFsbNJftAZgZWWlF0CH/8bzbSVBdCGEEFmWUT7zRj7uTNxy4emHcJX8SjhVlUtU1VyimuYyRTV309QXrjpwSlssJWj+dJV5HJnfXj6iYXFWHwuWVCxCCGEkf39//P39CQoKAqB06dJ8+eWXNGvWDIBr164xcuRI9u/fz5MnT2jatCnz5s0jb968Gda7YMECpk+fzr179yhfvjzz5s2jWrVqL/vlCBNpWsYD/26VjEpvliFbZ/AbAjUGwbVdcPRHuPIHXNud8nD0giq9oFJ3sEt/dZ0QQgjxsv3f//0fvXv3xtbWFoASJUqwfft2qlatys6dO1EUhalTp9KgQQPMzc25f/++wQA6mCadi52dHUWLFqVo0aLUqFGDYsWKsXjxYsaOHatXbsmSJbi4uNC6desM63N3dychIYGHDx/qrUa/f/++Lr96YGAgQUFBbNu2DScnJzQaDYGBgeTOnZtNmzbRqVOnDNt4XvHixQG4dOkSvr6+Wbr2TSBBdCGEEOnKTj7zgSuP85WvGQ1i/qCaxSWqaC7jqUSmqfuyNj/HtCU4ri3BSbUYwaobz68yd7az5EFsQoa3lg+uX5TB9YtKKhYhhDBS/vz5mTp1KsWKFUNVVZYtW8b777/PqVOnKFSoEI0bN6Z8+fLs3r0bSMkP2qpVKw4fPqxbtfW8NWvW8Omnn/LDDz9QvXp1Zs+eTZMmTbh8+fILr8oSr07qnVuHrobyx74jNK5VHd+ibtn7narRQLFGKY/IG3D8Zzi1AqKCYddE2DslZSPSyr2goJ9sRCqEEG+ImLGGA8Fmz91pFDoy1GBZjaI/pwgaFvRC/cqKVatWceTIEQ4dOqQ79sEHH7Bt2za8vLzw9PRk06ZNbN26lfLly2NjY8P333+fYZ2mSOfyPK1Wy5MnT/SOqarKkiVL6N69OxYWFgauTFG5cmUsLCzYtWsX7dq1A+Dy5csEBwfrAtxxcXFoNBq9zUlTn2u12iz3uXHjxuTJk4dp06bpbSya6vmA/psmR4Poma2EqVu3Ln/99ZfeNf379+eHH3541V0VQoh3irH5zC1IoqxynWqalIB5Fc2/OJ2K5Zm9PUlUzTivenNUW4Jj2pIc1xbnIbkMtp0aIP+ihQ+DAo27tVxWmQshhHFatWql9/ybb77B39+fw4cPc+fOHYKCgjh16hQODg4ALFu2jNy5c7N79269jame9d1339G3b1/d5lY//PADW7du5eeff+b//u//Xu4LEiZlplGo7u1MxEWV6qb6o7SzNzT+GuqNg/MbUnKn3z0F59alPPKUSFmdXr4T2OR+8faEEEK8NFnJUf6yyr6II0eO8OWXX7Jnzx69VCWKovDjjz/qle3Xrx99+/bVCzAb8iLpXGJjY/nmm29o3bo1Hh4ehIeHs2DBAu7cuUOHDh30yu7evZsbN27Qp0+fNPXcuXOHBg0asHz5cqpVq4ajoyO9e/fm008/xdnZGQcHB4YMGYKvry81atQAoFGjRowaNYqRI0fy6aefAjB16lTMzc2pV69ell+LnZ0dP/30Ex06dKB169YMHTqUokWLEh4eztq1awkODmb16tXZGKXXQ44G0TNaCVO6dGkA+vbty1dffaW7JvVWCyGEENmX3XzmQwOPUU65TluzC/hq/qGK5l+slUS9crGqFSe1xTimLckxtQSntEWJxyrdfmQUIG9axgN/jQluLRdCCJGu5ORk1q1bR2xsLL6+vly7dg1FUbCy+u8929raGo1Gw/79+9MNoickJHDixAm9W401Gg0NGzbUW+ElBBY2KRuNVuyaEkQ/viRlI9Lwy7D9/+DPCVD6A6jyMeSvKqvThRBCmFxq8Llbt25ASmqU1Dzp6TEmgP6izMzMuHTpEsuWLSM8PBwXFxeqVq3Kvn37dLHRVIsXL8bPzy/djTsTExO5fPkycXH/5aGfNWsWGo2Gdu3a8eTJE5o0aaK3qr5kyZJs2rSJ8ePH895776HRaKhYsSLbt2/HwyN7n7fff/99Dh48yJQpU+jSpQvR0dEUKFCA+vXrM2nSpGzV+brI0SB6RithUr9RbG1tdbl6hBBCvDjj85mDBi2llSB8Nf/gp7lAVc0l7BT9W8oi1FwpAXNtcY5pS3JBLYi9jQ1RjxMzTMXyRQsfvt6acYDcpLeWCyGEAODcuXP4+voSHx+Pvb09GzduxMfHB1dXV+zs7BgzZgyTJ09GVVX+7//+j+TkZEJCQtKtKzw8nOTk5DQ50/PmzculS5cM9uHJkyd6tyhHR0cDKR8AExMTDV2WRmrZrFwjMvZKxtS1DDSbCfUnoDm/Ds3J5Sih5+HMKjizCtXNB23FHmjLdABrh5fXj1dEvk9NT8bU9GRMTe9NHdPExERUVUWr1WYrpcfLlLpxZWr/DOnevTvdu3dPU+bMmTNpyub0a7S0tGT9+vXpnnu+b6l519Prs5eXF8nJyXrnLS0tmTdvHvPmzTNYb8OGDalevTq5cuXS+6PBi4xLpUqVWLduXbrncmq8tVotqqqSmJiImZl+6iFjf0Zfm5zoz6+ESRUQEMDKlStxd3enVatWfPHFFxmuRjfVhNwU3tQ3zNeZjKnpyZia3us8pjv+uc+Q1WfSXWU+YOVJhtT1xin6Ms3MLuCruUB1zUUcFP0d1R+o9hzS+ugeV9V8PJ/PvIevF3N3XzO40vzzZiVoVCoP9UvU4vjNB4Q+eoJbLiuqFMyNmUZJM3aV8uciIo9Kpfy50CYnoU02xWi8217n79M3lYyp6b3pY/q69rtEiRKcPn2aqKgo1q9fT48ePfjrr7/w8fFh3bp1DBgwgLlz56LRaOjcuTOVKlUymA89u6ZMmcLEiRPTHP/jjz+ydefpzp07TdEt8YxXN6bu4DmK3E7XKBS+B88HRzAPvYDZjjGoO7/gTm5fgvLU46Ft4VfUn5dHvk9NT8bU9GRMTe9NG1Nzc3Pc3d2JiYkhISEhp7uTrkePHuV0F946b/uYJiQk8PjxY/7++2+SkpL0zj27ej8jipr6Z5wsCA4O5ubNm8TFxeHq6krp0qX1bvvMiudXwgQGBtK8eXMAFi1aRMGCBfH09OTs2bOMGTOGatWqsWHDBoP1TZgwId0JeWBgoKSCEUK8M7QqXItWiE4EBwso4pDyVj/xpBkPE+C/cLZKEeUufpp/8NX8g6/mIrkV/c1iolUbjmhLcUhbmkNaHy6pBVBReD5wnlqfkyWMr5TMuUiFDUEaHib8V87JUqVtIS3lXbL8q0cIId44cXFxdOnShaioKF2O8ewy5fz7eQ0bNqRIkSIsXLhQdyw8PBxzc3OcnJxwd3fns88+Y9SoUWmuTUhIwNbWlvXr19OmTRvd8R49evDw4UM2bdqUbpvpLXwpUKAA4eHhWRqrxMREdu7cSaNGjTLdYEsYJ8fHND4Kzbm1aE4uRQm/rDusupcjuWIP1DLtwNL+1ffrBeT4mL6FZExNT8bU9N7UMY2Pj+fWrVsUKlQIa2vrnO6OHlVVefToUZpV0yL73pUxjY+PJygoiAIFCqT5vo6OjiZPnjyZztmNXokeFBSEv78/q1ev5vbt2zwbe7e0tKRWrVr069ePdu3aZWmlSkYrYfr166crV7ZsWTw8PGjQoAHXrl2jSJEi6dY3duxYXTJ8+G9C3rhx4xf+8JJVb+ob5utMxtT0ZExNL6fHdMc/95ny+yXuRf8XnHB3sOLDyvl5mHCNPETxnuYctc3OUVNzjrzKQ73rY1UrjmlLckjrw0Ftaf5RC6El7ft6+qvMFSa1LU+T0nlpCYzWqumuNM+qnB7Tt5GMqenJmJremz6mqXdEZtfLmn8/T6vV6gW0AfLkyQOkbGAVGhpK69at073W0tKSypUrs2vXLl0QXavVsmvXLgYPHmywTSsrq3T/CGBhYZGt/+vsXicMy7ExtcgDfgPBdwAEH4YTS+CfX1HuncV822ewawKUaQuVekC+Sm9U7nT5PjU9GVPTkzE1vTdtTJOTk1EUBY1GY/I70V5UaiqQ1P6JF/eujKlGo0FRlHR/Ho39+TQqiD506FCWLVtGkyZNmDRpEtWqVcPT0xMbGxsiIyM5f/48+/bt48svv2TixIksWbKEqlWrGtUBS0tLihYtCkDlypU5duwYc+bM0VsJk6p69eoAXL161WAQ3dQTclN4094w3wQypqYnY2p6L2tMM9sU9Pl0LVYkUCzmHLb7lvC75Tl8/p+9+w6Pqtj/OP4+u2kEUiAQEnqEEAihN4OKSA0oonLtFPuVKyoiFmwQr4pd9P4Url4EFFFBBUQxNKVJ7yBFSugJAQIphLTd8/tjyUJIIYENScjn9TzzhD07Z3Z22GxmvzvnO5b9udpLN91ZZ2/M8rMrzQ94hnEiy7zsfOYA7sD1jWvmbegS6XXqehpT19OYul55HdPL6XNJzb9HjhxJ7969qVevHikpKUydOpVFixYxd+5cwLHBVtOmTalRowYrVqzg6aef5plnniEsLMzZRrdu3bj99tudQfLhw4czePBg2rVrR4cOHRg7diynT5/mwQcfvOTnL4JhQP1IR4l6GzZOdQTUT+yG9ZMdJbAZtBkILe4G72ql3WMRERG5ihUpiF65cmX27t1LQEBAnvsCAwPp2rUrXbt2ZdSoUcTExHDw4MEiB9EvlN9KmBwbN24EuOQdYkVEyruibQpq0sQ4yA2Wzdxg2UIHyw68jNx5ef+y12epvQVL7M1ZZ29MBh7O+565PpSxC/4uMJ95TqC8V0RQgcF8ERG5PCU1/05ISGDQoEHExcXh5+dHixYtmDt3Lj169ABg586djBw5ksTERBo0aMDLL7/MM888k6uNPXv2cPz4ceftu+++m2PHjvHaa68RHx9Pq1atiImJybPZqEhR5btgoNNQiHwC9i+H9V/BtpmQ8BfEvAjzX4OmfaH1QAi5Ea7ilXQiIiJSOooURB8zZkyRG4yKiipy3cJWwuzZs8eZHz0gIIDNmzfzzDPP0LlzZ1q0aFHkxxARuVrEbI1jyJT1+W4KOnLKYsyWxxiRFkNnzy3UMJJy1zGrstTWnKX25vxpj+AEfnnaz1llPrRrI8KCquQJ1l+40txqMYhsmDe4IyIil6+k5t8TJkwo9P63336bt99+u9A6+/bty3Ns6NChhaZvESmqwhYMREUEQ4PrHKX3O7BlOmz4GuI2wdYfHcW/HrQeBK3uA7/apfhMRETKt0vYQlGkzHLF67nIOdHPnDnD/Pnzuemmm/Dx8cl1X3JyMosWLaJXr17F2uCosJUwBw8eZMGCBc7LQevWrUv//v155ZVXiv7sRETKofxWXwFnV5k7GNgJN/Zzk2UjN1k30srYjXWnCVbH/WmmJ6vsTZyrzXebtTl/I9DCVplbLQZREcH0CNdKcxGR0lQS82+RsqywBQNDpqxn3IA259LGVfKHDo86ypGNjmD65ulw6gD88QYsegsadXesTg/rDdbylxJKRKQ05KSjS0tLo1KlSqXcGxHXSEtLAy4v3WKRg+iff/45P//8c76bCvn6+vLJJ59w8OBBnnjiiSI/eGErYerWrcvixYuL3JaIyNWgoNVX97Svy+mkE9xs2UIXy0a6WDflWW2+w16XRfZWLLa3YJ29MZnk/8fhme6N+W7NgYvmM9dKcxGR0lUS82+RsspmN3MtGDifieML/+jZ2+gRHpT3S/1arRylx79h+8+OdC/7/4Rd8xylcg1oeS+0GQTVQ0v8uYiIlGdWqxV/f38SEhIA8Pb2xigjmzjb7XYyMzNJT0+/qjfBvJKu9jE1TZO0tDQSEhLw9/fHarVecltFDqJ/8803vPrqqwXeP2zYMF5//XVN4kVELlHe1VcmTY0D3JS6kWuXbOIJz79xM+zOe1NNL/60R7DI3pJFtlbEEYB/JXeSzmQVuino0K6NGNq1kVaZi4iUcZp/S0WyOjYx1xf8FzKBuKR0VscmFvwlv4c3tLzHUY7vdqxO3zgVTifA8k8cpW5HaHU/NLsdvHxL5smIiJRzQUFBAM5AellhmiZnzpyhUqVKZSawX95VlDH19/d3vq4vVZGD6Lt27aJly5YF3t+iRQt27dp1WZ0REamoclZfuZNFR8t2ulvW0d26ntrGiVz1/rbXZpG9FX/YW7HWHkbWBW/jD14XctFNQXOC5VplLiJStmn+LRVJQkrBAfRLqUf1RtAjGrq+An/PdQTUd82Dg6sc5bcXIPxWR+70Bp21GamIyHkMwyA4OJjAwECysrJKuztOWVlZLFmyhM6dO19WWg45pyKMqbu7+2WtQM9R5CB6dnY2x44do169evnef+zYMbKzsy+7QyIiV7P88p1b00+y988ZvJz2PTd6bsbHOOOsf8b0YJk9gsX2liyyt+KQWSPfdou7KaiIiJR9mn9LRRLo4+XSek5Wd2h6i6Mkx8Hm7xyr04//DZu/dxS/uo7V663ug2rXXELvRUSuTlar1SXBR1exWq1kZ2fj5eV11QZ8rzSNadEVOYjerFkzFixYQNu2bfO9f968eTRr1sxlHRMRudqcn++8gRFHN8t6PD020oodhJo2Qs/OTY6a/iy0tWG+vS3L7c3IwCNXO9oUVESkYtD8WyqSDiHVCPbzIj4pvdC0dDkbrl8S32C4/hm4bhgcXgcbv4EtP0LSQVjynqPU6+QIpje7DTx9LtaiiIiIVBBFDqI/9NBDDB8+nGbNmnHLLbfkum/27Nm8+eabfPjhhy7voIhIeWKzm6yKTWTdcYOA2EQiGwVitRjEbDnM51OnMdi6jm4e6wm1HHaccPZT4jHvUL5NbsYCW1u2mCGY5H9JsTYFFRGpODT/lorEajEY1TecIVPWFykt3WUxDKjTzlF6vQU7fnWsTt/zOxxY7ii/PQ/h/RwB9frXK92LiIhIBVfkIPpjjz3GkiVLuPXWW2nSpAlhYWEA7Nixg7///pu77rqLxx57rMQ6KiJS1p2/0hysfLNrFVE+e3mu7k7a7o3hJ89EZ90s08pKe1MW2Nuy0N6GbI864G1wNLnw1VfaFFREpOLQ/FsqmqiIYMYNaHNl09K5V4Lm/3CUpMOO9C4bv4ETu2HTt7DpW0571yaxUX9q3fgQ1oAQ1/dBREREyrwiB9EBpkyZwq233srUqVP5+++/MU2TsLAwoqOjueuuu0qqjyIiZUK++czPBq9jtsYxZMp63Mmii2UrvS1r6GFdS7WsVNjrOD/FrMTv9tbMt7Vlsb0lKXifazw5g2e6N9amoCIikovm31LRlGpaOr/acMNwuP4ZVi75jfjFX9LVtgzftMNU3vwJbP6ExIC2VIsc6Ej3UqlqyfdJREREyoRiBdEB7rrrLk3YRaTCyb3K3CH47KqoHo18WDxzAh+5/0lXywZ8z9sYNNGswnxbO36zt2e5PYJMCt6oo0F17yu/+kpERMo8zb+lointtHQxf8Uz5DcTkwfx5H56WdbyD+tirrdspdqJdfDLOke6l8a9oMU9ENoT3Dwu3rCIiIiUW8UOoouIVDQ5q8zPXx1emTN0SPkTvh+D3X0zY+wZcHZj0HizKnNt7Yixd2C1vQk2irabeaCPF5ENA7QpqIiIiEgpsdlNomdvc877MvDgZ3snfrZ3oiaJ9LMu506PPwm17Yftsx2lUlVodge0vAfqtHfkXBcREZGrSpGD6KtXr+bBBx8kPT2dN998k3vuuack+yUicsXll64FcH6Q8iKDrpYN3GJdSVfLBryMLMeJdjhgr8Fv9g7MtbVng9mowI1B85OT7zzn8Up79ZWIiJQNmn+LXHmrYxNzXRF4vqNU43PbLXx+5hZm/cOPlokxsOUHSImDtRMcpWoItLgbWtwFAQ2vcO9FRESkpBQ5iD5kyBD+/e9/07p1a5o3b87tt9+Op6dnSfZNROSKKShdy/1tA2mespSR7ivpZllPZSPDef8eezC/2jsSY+vANrM+57KXF6wo+c5FRERA82+R0pCQkn8A/UL73EJo2fMN6B4NsUscG5Ju+xlOxsLitx2lTgdoeTc07lvCvRYREZGSVuQg+okTJ6hTpw41a9YkIyODtLQ0TeJF5KpwYboWd7K5zrKFvmkr6fHnWnw9zuU4P2ivwS/2a5lti8wVOPev5E7SmaxcAfIcOSvNX705nH//qnznIiJSNJp/i1x5gT5exatnsULDmxzl5g9gx6+OgPqe3+HQaji0GrffXqSDT3OM7VnQ9GZwr1SCz0BERERKQpGD6C+//DIDBgygatWqDB48mKpVtRO5iJQf+aVqsVoMZ95LAzuRlm30taygt3U1/sZp57lHzGr8aruWX2zXsslsSH4rzh+8LoSxC/4udKV5VEQwvSKU71xERIpG82+RK69DSDWC/byIT0ovdHFEThq+XDwqO9K4tLgLUo7C1h9g03cY8ZsJTloPPz0MHlWgyc3Q/E64pgtYC950XkRERMqOIgfRH330UaKiokhOTqZZs2Yl2ScREZcqKFXLqFuaEpy+hwdPT6Cf55/UNE457z9m+vGrrSO/2K5lndm4wBznOR+khnZtRFhQlTyPc+FKc+U7FxGRotL8W+TKs1oMRvUNZ8iU9ZeXhs+nJkQ+AZFPkHVkC7Gz3iY0fTNG0gHHSvXN30OlatDsNoj4B9SLBEvR99QRERGRK6vIQXSAunXrllQ/RERKxIWpWgCCOUG/1D8Jmb6MMMshWp59JzxpVuE3Wwdm2yNZZW+K/YLA+cU+SEVFBNMjPIgVuxOYt3QVPW/oSGSjQK00FxGRS6b5t8iVFxURzLgBbS66OKLIajRhe627COk9EfejGx2bkf71E5w+Bmu/dBTf2hBxhyOgHtwSjHPzx4KuqBQREZErp0hB9NOnT1O5cuUiN1rc+iIiJSEnVYsJ+JBGlHU1t1uWca1lOxbDEQ7PwJ0FttbMtF3PInsrsgp4W3yme2O+W3Pgoh+krBaDjiHVOLHdpKM+4IiIyCXS/FukdOUsjnBp8NowoG4HR+n1FuxbAlt+hO2zIfkwLP+PowSEQvN/QMQ/iImvnP8VldpTR0RE5IoqUhC9UaNGPP300wwePJjg4Pz/UJumyYIFC/jwww/p3LkzI0eOdGlHRUQKk98KnTW74wlP+ZOX3f+ku2UdXkaWs/5Ke1Nm2K7nN1sH3CpX5eTpzELzXg7t2oihXRtpFZCIiFwRmn+LlL4STcNndYOGXR3l5g9g93zHCvW/Y+DELlg0BhaNoba9AbfYOjGbSOJx9CU+KZ0hU9YzbkAbBdJFRESukCIF0RctWsRLL73E6NGjadmyJe3ataNWrVp4eXlx8uRJtm3bxooVK3Bzc2PkyJH885//LOl+i4g4XZjzPNzYxwPey7iFP5ngkeSst8temxm265lpu44jVHcef6hVLSb+ua9IeS+Vz1xERK4Ezb9FKhB3L2ja11EyUmDHr5hbfsC2eyHNLftobtnHSLdvWWOG8bOtE3NsHTiFL9Gzt9EjPEiLOkRERK6AIgXRw8LC+PHHHzlw4ADTp09n6dKlLF++nDNnzlC9enVat27NF198Qe/evbFarSXdZxGpYArLA5mT89yPFAZbl3OndTERln1gc5x7zPRjlq0TM2w38JdZn3Oh8XN6hAfRIaSa6/JeioiIXCbNv0UqKE8faHkPK6v04Imt8+hjXUVf6wo6WnbQ0dhBR8sOot0msdzejF9Tr2X9jvq0D29U2r0WERG56hVrY9F69erx7LPP8uyzz5ZUf0REcrlwlTmcywPZo0kN5s6awn/cF9DDshZPIxuADNON+fZ2TLfdyHIzgmzTWmiqlpygvMvzXoqIiFwmzb9FKqaElHQS8WWKrQdTbD2oxXFusa7gVusKIiz76GzdQmfrFuzTv4RrboRmt0OTW8C7Wml3XURE5KpUrCC6iMiVlLPK/MIAuGfyPnZ/9xXXeS/no6wEOLsAb6u9AdNsN/KzrROn8Ml1TlFStZRo3ksRERERkSIK9PHKdfsI1fnc1pfPbX1pYMTRx7KKm62raGbZD3t+d5RfnoGQG6HZbQqoi4iIuJiC6CJSJtnsJtGztzkD35VIp49lNXe5LaKjZYfjYCacNKsw03Yd0203ss1skG9bD13XgN+2xitVi4iIiIiUCx1CqhHs50V8UnqeBSX7zGDG2W5jRpV7WPZIfazbZ8JfM+HoFtiz0FGcAfXbocnNCqiLiIhcJgXRRaTU5ZfzfHVsInFJ6TQ19nOfdSG3Wf/ExzjjqG8aLLG3YLrtRhbY25KJe6Ht9wgP4uWbw5WqRURERETKBavFYFTfcIZMWV/4FZU1gqHGCOg8Ao7vhm0z4K9ZFwTUh8E1Xc4F1CtVveLPR0REpLxTEF1ESlV+Oc8b+Bo8E7yVnzy+p41lt/P4PntNptlu5CfbDcTjSLviX8mdrDNZRcp5rlQtIiIiIlJeREUEM25Amzxz5QKvqKzeCDo/5yjOgPpMOLoVdi9wlNlPwzU3nU35UryAen4LX7QoRUREKgoF0UWk1FyY87yRcYj7rQu5I2MpfvvTwAJZppW59nZ8Y+vOSntTTCy52njwuhDGLvi7SDnPRURERETKk6iIYHqEBxU/eJ0roL7LEUz/awYk/AW75zvK7KcdKV+a9nUE1KsEFthcfgtfgpUeUUREKpBLDqKnpaVx4MABMjMzcx1v0aLFZXdKRK5+OTnPPcgkyrKa+9x+P5frHDhor8F39q5My76RY/jnOT9nlfnQro0IC6pS9BU6IiIi5ZTm3yIV02VfUVk9FG58zlGO/Q3bZjqC6gl/5c6hXi/SEVBvegv413OefuHClxzxSekMmbKecQPaaM4tIiJXvWIH0Y8dO8aDDz7Ib7/9lu/9NpvtsjslIlePgi773LxpLQ+ensA/PBdTzUgFINu0sNDehm9s3Vhqb+5cdX6xVeaXvEJHRESkHND8W0RcpkZjuPF5Rzm+C7bPdpQj6+HAckeZOxKCW0HTvtjCbiF69uF8UyeaOObl0bO30SM8SHNvERG5qhU7iD5s2DBOnTrFqlWr6NKlCzNmzODo0aO88cYbfPDBByXRRxEppy687NPAzh1VtjEyYDGtj/5J67PvQEfManyX3ZXvbV04SrVcbTx0XQN+2xp/0VXmynkuIiJXK82/RaREVA+FG4Y7yqmDsONXR0D9wHKI2whxG7H+/m++ttcixq09Mbb2bDVDOLekxRFIj0tKZ3VsoubiIiJyVSt2EP33339n1qxZtGvXDovFQv369enRowe+vr6MGTOGm2++uST6KSJlVEErzc+/7NOHNO60LmaQdR4Nso/CUTAx+N3Wiqm2riyyt8KGNd/2e4QH8fLN4VplLiIiFZbm3yJS4vzrwrWPO0rqMdg5B7bPxr7nDxpZjjDUMouhbrM4ZFZnrs0RUF9nNsZ+9srRhJT0izyAiIhI+VbsIPrp06cJDHRsOFK1alWOHTtG48aNad68OevXr3d5B0Wk7Cpog6FXb27Kv3/dzjXGYR6wzuUO61IqGxkAJJneTLPdxG+V+nDEI5ijyen5Xh6ak/M8J2CulS0iIlJRaf4tIldUlRrQdjC0Hcza7bFM+foLoqxr6GLZRB3jOA+7/cbDbr9xzPRlvq0dMfb21PRuU9q9FhERKVHFDqKHhYWxc+dOGjRoQMuWLfnvf/9LgwYNGD9+PMHB2kxEpKIoaIOhhKQ0fvzuf7xrncsNnludx3fa6zDZ1osZtus4gxekwDPd6zF2wd8XzXkuIiJSkWn+LSKlpW1YA5726cbspOvwJIPOls30sq6lu2UdNYxk7nP7nfv4HfPHcRDaA8L6QKPuUMm/tLsuIiLiUsUOoj/99NPExcUBMGrUKKKiovjmm2/w8PBg0qRJru6fiJRBNrtJ9OxtuQLfvpzmTusiBlvnUc9yzFHPNFhgb8skWy9W2MM5P38iQIPq3owb0CbPavb8cp6LiIhUVJp/i0hpsVoMRvUNZ8iU9WTgyTx7e+bZ2+NGNpGW7fSyrObOypvwzDgOW390FIsb1L8OmtwMYb3Bv15pPw0REZHLVuwg+oABA5z/btu2Lfv372fHjh3Uq1eP6tWru7RzIlK6Csp3vjo20Rn0rmcc5WHrHO60LsH7bMqWU2ZlvrPdxBRbDw6ZNQpsP9DHi8iGAfQID1LOcxERkQJo/i0ipSkqIjjPwpds3Njt0577+w7GM7wmHF7ryKO+Yw4c3wmxix3lt+ehZnNHML1JHwhuBcblzfNtdpNVsYmsO24QEJtIZKNAfXYQEZESV6wgelZWFk2aNOGXX36hadOmAHh7e9OmjfKfiVxtCsp3PqpvOBnZdtoYf/Oo26/0sqzFYjjWpG+312WyrRczbdeRjmeBbZ+f7xxQznMREZECuHr+PW7cOMaNG8e+ffsAaNasGa+99hq9e/cGID4+nueee4758+eTkpJCWFgYL7/8Mv379y+wzdGjRxMdHZ3rWFhYGDt27LikPopI2RMVEVz4wpe6HRyl+2g4sccRUN/5GxxYAUe3OMqSd8Gn1rmAeoMbwK3gzwz5yf0ZxcpXu9Y6P6PoKlYRESlJxQqiu7u7k57uul23LzaJT09P59lnn+W7774jIyODXr168dlnn1GzZk2X9UFE8ios3/nMqeN5LeB3+nludh7/3daKL2w355uyRfnORURELp2r59916tTh7bffJjQ0FNM0mTx5Mv369WPDhg00a9aMQYMGcerUKX7++WeqV6/O1KlTueuuu1i7di2tW7cusN1mzZqxYMEC5203t2Jf8CoiZVyRF74ENIROTzrK6ROwax7s/BV2/w4pR2DtBEfx8IFG3Rx51EN7gHe1Qpst6DNKfFI6Q6asZ9yANgqki4hIibEU94QnnniCd955h+zs7Mt+8JxJ/Lp161i7di1du3alX79+/PXXXwA888wzzJ49m+nTp7N48WKOHDnCHXfccdmPKyIFyy/fuRcZDLDOZ6HHs4z3GEutlM1k4sb32V3onvEuD2U9zwp7M3JC5AaOVeuf3deGID+vXO0H+XlpgisiIlIMrpx/9+3blz59+hAaGkrjxo158803qVKlCitXrgRg+fLlPPnkk3To0IFrrrmGV155BX9/f9atW1dou25ubgQFBTmL0syICACVA6DVvXD3FHh+L9w3Hdo+AFWCIDMFts2EGY/Be41g0i2w4jPHSvYL5PcZJUfOsejZ27DZ86shIiJy+Yq9RGTNmjUsXLiQefPm0bx5cypXrpzr/p9++qnIbfXt2zfX7TfffJNx48axcuVK6tSpw4QJE5g6dSpdu3YFYOLEiTRt2pSVK1dy7bXXFrfrInKB/PIJnp/vvDpJDHSbx0DrfKoZqQCcNKswxdYdr06P89aSxDxtnr/SPCoimF4RyncuIiJyOVw5/z6fzWZj+vTpnD59msjISAA6derE999/z80334y/vz/Tpk0jPT2dLl26FNrWrl27qFWrFl5eXkRGRjJmzBjq1St4M8GMjAwyMjKct5OTkwFH+pqsrKwiP4ecusU5RwqnMXU9jWkOK4Tc5Ci93sU4shFjVwyWv3/DOLYd9i11lLkjMas1xN6oB2ZoT8y617LqQGquNJMXMoG4pHRW7E6gY0jhK9olf3qdup7G1PU0pq6nMS36cy92EN3f37/QnIiX6sJJ/Lp168jKyqJ79+7OOk2aNKFevXqsWLFCQXSRy1RQPsE+EUE0NA7ziHUOd1iX4Wk43kz22wP5n60PP9g6cwYvPq5Vj3EDGuTJmx50QU5C5TsXERG5PK6ef2/ZsoXIyEjS09OpUqUKM2bMIDw8HIBp06Zx9913ExAQgJubG97e3syYMYNGjRoV2F7Hjh2ZNGkSYWFhxMXFER0dzQ033MDWrVvx8fHJ95wxY8bkyaMOMG/ePLy9vYv9nObPn1/sc6RwGlPX05jmpxXUaYV3jQSCktYTlLSRgNSdWBL3YF29B1aPJ8viRVXP5txpbc0fttYcx6/A1uYtXcWJ7VqNfjn0OnU9janraUxdryKPaVpaWpHqFTuIPnHixGJ3pjAFTeI3btyIh4cH/v7+uerXrFmT+Pj4Attz1aoWV9C3Oa6nMXWNuX8d5cnvNuW5HLJG8jbarR7Dyx7nNgvdYG/Ef7NvYZ69HfbzMkAFeLvRMaQaXUJvYO3+kySkZBDo40m7+lWxWowK/X+k16nraUxdT2PqehpT1yvvY+qqfrt6/h0WFsbGjRtJSkrihx9+YPDgwSxevJjw8HBeffVVTp06xYIFC6hevTozZ87krrvuYunSpTRv3jzf9nL2MwJo0aIFHTt2pH79+kybNo2HH34433NGjhzJ8OHDnbeTk5OpW7cuPXv2xNfXt8jPJSsri/nz59OjRw/c3d2LfJ4UTGPqehrTonoAAFt6MvbYRVh2z8fYswD308dodmYN77mvAXfYZL+G322t+d3emq1mA8zzPqP0vKGjVqJfIr1OXU9j6noaU9fTmJ6LHV9Mqe/4U9Ak/lK5elWLK1Tkb3NKisb00tlNiF5vPRtAd2z7ea1lO/+yzqKzdYuz3jxbW/6bfQvrzMbk3izUxN8Djm1byZzt545agRPA3POOVXR6nbqextT1NKaupzF1vfI6pkVd1XKleXh4OFeWt23bljVr1vDxxx/z/PPP83//939s3bqVZs2aAdCyZUuWLl3Kp59+yvjx44vUvr+/P40bN2b37t0F1vH09MTT0zPPcXd390v6AHep50nBNKaupzEtIvcAaNHfUex2iNuAfWcMO5f+SFNzDy0te2lp2csz/EiC6c8iW0t+t7dmV5X2RDYKVOrIy6TXqetpTF1PY+p6FXlMi/q8ix1EDwkJwTAK/qO0d+/eYrVX0CT+7rvvJjMzk1OnTuVajX706FGCgoIKbM9Vq1pcQd/muJ7GtOhsdjPfFeKrYhM5tXItBna6WtbzhNss2lgcH3KzTQuz7J0Yn30ru8w6XPibnrNt6Bt3tKRXs5pX+BmVH3qdup7G1PU0pq6nMXW98j6mRV3VcjGunn9fyG63k5GR4Qz6WyyWXPdbrVbsdnuR20tNTWXPnj0MHDjwsvolIoLFArXbYqndlv2BDzF4ykK6WDfR1bKB6y1bCDROcZfbYu5iMfYsdyxfd4LGvaBxFAQ0LO3ei4jIVaTYQfRhw4blup2VlcWGDRuIiYnhueeeu+wO5Uzi27Zti7u7OwsXLnTmgNy5cycHDhxwbnyUH1evanGFivxtTknRmBYud75zh+CzucozMzO51fIn/3L7mSaWgwBkmO58b+vC57ZbOGTWAOCh6xrw29b4QvOdS+H0OnU9janraUxdT2PqeuV1TF3VZ1fOv0eOHEnv3r2pV68eKSkpTJ06lUWLFjF37lyaNGlCo0aN+Oc//8n7779PQEAAM2fOZP78+fzyyy/ONrp168btt9/O0KFDARgxYgR9+/alfv36HDlyhFGjRmG1Wrn33nsv+7mLiOSIigiGAd2Inh3MtKQueJBFe8sO+lbaQt9KW6icuh9iFzvK3Jeg2jXQqLujNLgePCpf9DGKw2Y3WR2bSEJKOoE+XnQIqaZV8CIiV7FiB9GffvrpfI9/+umnrF27tlhtFTaJ9/Pz4+GHH2b48OFUq1YNX19fnnzySSIjI7WpqEghYrbGMWTK+jz5zo8npfL7tx/yks8cbvU4BECKWYkptu58md2bY/jnqt8jPIiXbw7XxFBERKSUuXL+nZCQwKBBg4iLi8PPz48WLVowd+5cevToAcCcOXN48cUX6du3L6mpqTRq1IjJkyfTp08fZxt79uzh+PHjztuHDh3i3nvv5cSJE9SoUYPrr7+elStXUqNGjUt4tiIiBYuKCKZHeBArdicwb+kqet7w4LkULsd3w6658Pdc2P8nJO6F1Z87itUT6nc6F1SvEQaFXOFzMYUtWtKCIxGRq5PLcqL37t2bkSNHFmvjo4tN4j/66CMsFgv9+/cnIyODXr168dlnn7mqyyJXHZvdJHr2tlwBdHey6W9dwhPWWdS1HIN0OIkvE7Ki+MrWg2Ryr8gwcKw4zwmYRzYMuKLPQURERIrmUubfEyZMKPT+0NBQfvzxx0Lr7Nu3L9ft7777rsiPLyJyuawWg44h1Tix3aTj+Yt8qjdylMgnID0ZYpfA7gWOknQQ9v7hKPNeBt860KibI6B+zY3g5Vfkxy9o0VJ8UjpDpqxn3IA2CqSLiFyFXBZE/+GHH6hWrXi7YF9sEu/l5cWnn37Kp59+ejldE6kwVscmOldDuJPNndbF/MttFnUMx2qxY6Yv/83uS9XOj/PpHwfznJ+zFmNU33CtOBcRESnjLmX+LSJSIXj5QtNbHMU04fiucwH1fcsg+RCsn+wohhXqdjwXVA9q4cjFno/8Fi3lMHF8noqevY0e4UH6PCUicpUpdhC9devWuTY2Mk2T+Ph4jh07plXiIldQfjn4ElLS8SCLu6yLGOL2M7WNEwAkmP78N/sWvrF1Ix1PPq4ZwLgBNfJcgqic5yIiImWP5t8iIpfBMKBGY0eJ/BdkpsH+5eeC6id2wYHljvL7v6Fy4Hmr1G+CyueuzD1/0VJ+TCAuKZ3VsYm6oldE5CpT7CB6v379ck3iLRYLNWrUoEuXLjRp0sSlnROR/OWXg6+er5XouutY5Pk/ahmJABw1/RmXfSvf2rqSgYezbqCPF5ENAy7IJ9jxXD5BERERKTM0/xYRcSEPbwjt7igAJ/fB7oWOErsYTifApm8dBQNqtYaGXaHhTRxLql2kh0hIKTjQLiIi5VOxg+ijR48ugW6ISFFdmIPPjWz6W5fyVMZP1N5zAgyIM6sxLrsv39tuyhU8Pz/fORSST1BERETKDM2/RURKUNUG0P5hR8nOhIMrz65SXwhHt8KR9Y6y9H1udvOmintjltmbs9TenF1mbc4lxTwn0Mfrij8NEREpWcUOolutVuLi4ggMDMx1/MSJEwQGBmKz2VzWORHJ7fwcfBbs9LUsZ5jbj4RYjgKO4PlEyx1MTr+BTNxz5epTvnMREZHySfNvEZErxM0DQjo7So/XITkO9vx+dlPSRVhPH6OrdSNdrRsBiDer8qc9gqW25vxpj+A4/rkWLYmIyNWj2EF008xvCw3IyMjAw8Mj3/tEpHjyy3dutRhnc/CdoZdlDcPdfiDMcgiA46Yvn2X34xtbNzLw4JnujfluzQHlOxcREbkKaP4tIlJKfIOh9f2OYrdDwl/s+HMWxzbG0N6ygyDjJP2tS+lvXQrAdns9vOp1w7rXhHqdHKljRETkqlDkIPonn3wCgGEY/O9//6NKlSrO+2w2G0uWLFFORhEXyC/febCfF6NuaYrf4UXM9niH5pZ9ACSZ3vw3uy+TbL1I49wlgw2qe7Psha75BuJFRESkfND8W0SkDLFYIKg5Tfo3Z1/Yw/T6eSN1Ujdxg2Ur11u2EGHZR1PLAdg10VGsHlDvWsfmpA1vgqCWjjZcrKAFWCIi4lpFDqJ/9NFHgGMlzPjx47Farc77PDw8aNCgAePHj3d9D0UqkAvzneeon7yB6tNfpJ3lb7BAqunFBFtvJmT3IZnKedoJ9PHCajG0I7yIiEg5pvm3iEjZFBURTI/wIFbHdiAhJZ0UHy9sgXas+xY7Ur/sWQTJhyB2iaMsjIZK1c6lirmmC1S7BozLC3YXuABLVyCLiLhckYPosbGxANx000389NNPVK1atcQ6JVIRnZ/vPEcT4wDPu33nzLmXjgc/WPrwYVoUifjmaePCjUNFRESk/NL8W0Sk7Mp30VLzfziKacKJ3bDnD0dQPXYpnEmEbTMdBcC39rmgekhn8KtTrMcvaAFWfFI6Q6asZ9yANgqki4i4ULFzov/xxx8l0Q+RCiW/S+4c+c4dKwhqcZzh7j9wh2UpFsMky7Tyne0mPsm+nQHdO3Jywd8YoI1DRUREKgDNv0VEyhnDgOqhjtLxMbBlwaG151amH1oNyYdh07eOAlCtYe6geuXqBTaf3wKsHCaOz4bRs7fRIzxInw1FRFyk2EF0gEOHDvHzzz9z4MABMjMzc9334YcfuqRjIlergi656xMRhD8p/MvtZwZb5+FpZAHwi+1a3s++k32mYxVBg+rejBvQJk8b2jhURETk6qX5t4hIOWZ1h/qRjtLlBchMg4OrzgbVF8ORDZC4x1HWTXScE9gMrrnREVCv3wm8/JzNnb8AKz8mEJeUzurYRKX4FBFxkWIH0RcuXMitt97KNddcw44dO4iIiGDfvn2YpkmbNm1Koo8iV42CLrk7lZSEx8ppLPH8GV8jDYDltnDezr6XzWbDXHUDfbyIbBhwNgefNpARERG52mn+LSJylfHwdmw22vAmx+30JNi//NxK9aNbIeEvR1n5GRgWqNX67Cr1Gzlxsm6RHiYhpeBAu4iIFE+xg+gjR45kxIgRREdH4+Pjw48//khgYCD3338/UVFRJdFHkatCfpfcWbDzD+tihrv9QJBxEoBt9vq8nX0PS+wtOJekJW++c20cKiIiUjFo/i0icpXz8oOw3o4CcPr4uYB67BLHCvXD6xxl2Uf0sXgwzSOEVfamrLI3ZZ09lDN45Wk20CfvMRERuTTFDqJv376db7915Oxyc3PjzJkzVKlShddff51+/foxZMgQl3dSpDzJL9+51WLkueSuk2Urr7pNoanlAACHzOq8n3UXs+ydAEuuNpXvXEREpOLS/FtEpIKpXB0i7nAUgKRDjs1Jz6Z/sSQfpoNlJx0sO3mSmWSZVjab15wXVG+Mj19V5wIsERG5fMUOoleuXNmZhzE4OJg9e/bQrFkzAI4fP+7a3omUMwXlOx/VN5yMbDsADY3DjHSbSnfrBgCSTG8+yb6dr209ycSdh65rwG9b45XvXERERADNv0VEKjy/OtDqXkcxTUjcy5blc9i1OoaOlh3UNo7T1thFW8su/sXPZJsWUr2bYV2wCBpcD/WuzZVTXUREiq/YQfRrr72WZcuW0bRpU/r06cOzzz7Lli1b+Omnn7j22mtLoo8i5UJB+c7jk9IZMmU9L95Yg1FukxlgXYC7YSPLtDLF1p2Ps+/gFD7O+j3Cg3j55nDlOxcRERFA828RETmPYUBAQ5r3fZLDIf/gH7O3YU0+SEdjO9dattHJbSe1jaP4n9wCy7fA8k8cOdWDmkP966HBdVAvEry1Sl1EpDiKHUT/8MMPSU1NBSA6OprU1FS+//57QkND+fDDD13eQZHyIL985zncyWKQdR73rpqJr9tpAObb2jIm+172mrWc9c7Pea585yIiIpJD828REclPVEQwPcKDzi7A6kGgjxdBIdUg5TDs+xP2L3P8TNwDcZscZeWngAE1IxwB9fpni4fvZfWloLSmIiJXi2IF0W02G4cOHaJFixaA49LS8ePHl0jHRMqTC/OdO5j0sqxhpNu3NLAcBeBY5cY8ffJOVtib5Qq4K+e5iIiI5EfzbxERKUy+C7D86kDLux0FIDkO9v8J+5Y5fh7/G45ucZRVjr8pbjWa0MKsjfHXGQi53tFGERWW1lQpSUXkalGsILrVaqVnz55s374df3//EuqSSNmW3zfsCSm5A+ihxiFGuU3meutfACSY/ryXfRfXd3+SQe7uxF4wwVDOcxEREcmP5t8iInLZfIOh+T8cBSA14WxQ/Wxg/dh2jGM7CGEHzFzoqONX15H2pd61jp81moDFkqfpi6U1HTegjT7nishVodjpXCIiIti7dy8hISEl0R+RMq2gb9jvaV8XAF9OM8ztRwZZ5+Fm2Mkw3fmv7WbGZ99KGl7c4VuZyIYB511yp0vdREREpHCaf4uIiEtVCYRmtzsKwOkTZO9dwr4l33KNWwKW+M2QdBC2HIQt0xx1vPyg7rXnguq1WmOzehaY1tTEccV19Oxt9AgP0uddESn3ih1Ef+ONNxgxYgT//ve/adu2LZUrV851v6/v5eXREimrCvuGfeyCnTxQaRlD7VOpbiQ76tva80b2/RwyAzFwBNs7hDg2b1HOcxERESkqzb9FRKREVQ7AbHILf+21UL9PHyz2DDi8Fg6shAMr4OAaSE+CXXMdBcDqwelqzRl0uharLU1YZw8lmSq5mjWBuKR0Vscm6vOviJR7xQ6i9+nTB4Bbb70Vwzj3TaJpmhiGgc1mc13vRMqIwjYObWXsYrT7ZFqae8GAXfbaRGcPYpm9OaB85yIiInJ5NP8WEZEryrMKXNPFUQBs2Y786QdWwv7ljp+nE/A9to4hbusYwmwAdtjrstbemDX2MNbawzhMdcDIk/5URKQ8KnYQ/Y8//iiJfoiUafltHFqDU7zg/h3/sC4BINmsxMZrHuelw5EcSs521lO+cxEREbkcmn+LiEipsrpBrdaOcu0QME1I3MvudQtYu2QO7S07aWiJo4nlIE0sBxmAI6/6EbMaa+1hND/cE2p0gaDmYHUv3eciInKJih1Ev/HGG0uiHyJl2vnfnFuxMdg6j2fcfsDHOAPA99ldeC/7bl5teSOLB9ZSvnMRERFxGc2/RUSkTDEMCGhISPdrGLiuEfFJ6VQjiXaWv2ln2Ul7y06aGfuoZSRyq3UFrFkBa6LBrZIjEF+3PdTpAHU7OPKzi4iUA8UOogMsXbqU//73v+zdu5fp06dTu3Ztvv76a0JCQrj++utd3UeRK8ZmN/MNgAf6eAHQ2tjFG+5f0syyH4CN9oaMyhrMJrMRAIE+Xsp3LiIiIi6n+beIiJQ1VovBqL7hDJmynkT8mGtvz1x7ewC8SaelZQ+vt0ohNHM7HFoD6afgwHJHyVG1wbmAep32UDPCsfJdRKSMKfY7048//sjAgQO5//77Wb9+PRkZGQAkJSXx1ltvMWfOHJd3UuRKiNkaR/TsbbnStgSfTcXSI8STsd4TudW2AIthcsqszNvZ9/K9rQsmFgwcaVtyNg4VERERcRXNv0VEpKyKighm3IA2eT5L+/n5M7jvQEJz0pra7XBiNxxaDQdXOTYrPbYDTu5zlC3THPXcvaFWG8dq9bodHYH1ytWL3J+CFsaJiFyuYgfR33jjDcaPH8+gQYP47rvvnMevu+463njjDZd2TuRKidkax5Ap6/NsHBqfdIb5U8fStcr33GY/CQZMz+7MmOz7SMQX0MahIiIiUrI0/xYRkbIsKiKYHuFBhQevLRao0dhRWg9wHEtPgkNrHavUD652/DsjCfYvc5Qc1a45u1r9bBqYwPB8V6sXtjBOe5SJyOUqdhB9586ddO7cOc9xPz8/Tp065Yo+iVxRNrtJ9OxteQLoocYh3nD/ko6WHZAJZo2mrA5/mQ9XepN43h9lbRwqIiIiJUnzbxERKesuKa2plx806uYo4Fitfnzn2YD6asdq9eM7IXGvo2w++0Wye2Wo3QZqt4U67aB2W2IOGAUsjEtnyJT1jBvQRp/ZReSyFDuIHhQUxO7du2nQoEGu48uWLeOaa65xVb9ErpjVsYm5vqmuRDpPu83gYesc3A0baaYnH2ffwU09R3NtaBDLbtTlYSIiInLlaP4tIiIVgsUCgU0dpe1gx7EzJ+HQurNB9dVweB1kJMO+pY5yVhuqMc69IZvsDdloNmSz/RpOUwkTx9Xj0bO30SM8SJ/dReSSFTuI/uijj/L000/z5ZdfYhgGR44cYcWKFYwYMYJXX321JPoo4jL55UdLSDkXQO9s2cSbbl9S13IMgHm2tkRnDeIwNQg/bQMu8Rt2ERERkUuk+beIiFRYlapCaHdHAbDbHLnUD611BNQPr8dM+ItAM5EoayJR1jWOaqbBLrM2m+wN2WQ2ZGNyI9bsaca1oUGl+GREpDwrdhD9xRdfxG63061bN9LS0ujcuTOenp6MGDGCJ598siT6KOISBeVHu6d9XaqSzCvuU+hvdeRdO2RWZ1TWYBba2zrrBvp4XfE+i4iIiGj+LSIicpbFCjWbOcrZ1eq/rt3F5B9/pqVlD60su2ll2UMd4zhhxiHCLIe4i8UAZH/3OtRq5UgDU7uNIxWMf30wtDpdRC6u2EF0wzB4+eWXee6559i9ezepqamEh4dTpUqVkuifiEsUtnHo3t8nstDra6qRgt00mGTrxfvZd5GGI2hu4Mh73iGk2hXvt4iIiIjm3yIiIgULqFqNNWYT1tiagOMCcmpwihaWPbSy7KGl4fjpa0uDgysdJYd39bNB9bOlVmuorCvPRSSvYgfRc3h4eODj44OPj48m8FKmFbRxaB3jGG+4fUkX6yYAdtjrMjLrUTaYjZx1cr6PHtU3XLnTREREpFRp/i0iIpJXh5BqBPt5EZ+U7vzcfwx/FtrbstDeFgMI9vVg6SP1scatP5cKJn4LpB2HXXMdJYd/PUcwPbiV42etVo60MiJSoRU7iJ6dnU10dDSffPIJqampAFSpUoUnn3ySUaNG4e7u7vJOilyOCzcOtWDnAetcRrhNw9vIIMN05+Ps26l043Di1x2B8+oG+Xkxqm+4dvEWERGRUqP5t4iISMGsFoNRfcMZMmU9BuRaQJezFO61WyOwBgZDYGNoeY/jYHaGI5B+eJ2jHFoLiXvg1AFH2TbrXENVQxzB9FqtzwbYW4KX35V5giJSJhQ7iP7kk0/y008/8e677xIZGQnAihUrGD16NCdOnGDcuHEu76TI5Th/49Aw4wDvuH9OK8teAFbZmzAy6xH2mrX4ONCXZS80ybPxqFagi4iISGly5fx73LhxjBs3jn379gHQrFkzXnvtNXr37g1AfHw8zz33HPPnzyclJYWwsDBefvll+vfvX2i7n376Ke+99x7x8fG0bNmS//znP3To0OHSnrCIiEgxRUUEM25Amzz7oBW6MM7N05EXvU67c8fSkyBuExzZAEc2On6ejD1X/ppxrm61hueC6rVaQ3AL8PQBHFfEr4pNZN1xg4DYRCIbBZZKbMFmNxXjEHGRYgfRp06dynfffeecaAO0aNGCunXrcu+99yqILqWmoD8OgT5euJHNEOvPPOk2Aw/DRrLpzVvZ9/G9rQsmFsCxcajVYhDZUPnPREREpOxw5fy7Tp06vP3224SGhmKaJpMnT6Zfv35s2LCBZs2aMWjQIE6dOsXPP/9M9erVmTp1KnfddRdr166ldevW+bb5/fffM3z4cMaPH0/Hjh0ZO3YsvXr1YufOnQQGBl728xcRESmKqIhgeoQHXV7Q2MsPQjo7So60REdgPW7j2eD6BsdK9cQ9jrL1h7MVDageymHvJkw7XJ1laXXZZtbnq11rCS6Fq9xjtsbl+VKhNPohcrUodhDd09OTBg0a5DkeEhKCh4dHsdoaM2YMP/30Ezt27KBSpUp06tSJd955h7CwMGedLl26sHjx4lzn/fOf/2T8+PHF7bpcxQr749Aj4Di/VhpFmBkLwDxbW17JeogEHDnNtHGoiIiIlGWunH/37ds31+0333yTcePGsXLlSpo1a8by5csZN26ccxX5K6+8wkcffcS6desKDKJ/+OGHPProozz44IMAjB8/nl9//ZUvv/ySF198sVj9ExERuRwlsjDOuxo0vMlRcpw+kTuofmQjJB+C439Tm795BnjGE2ymwR6zFtvSGrD22wZU69aDDpFdSjzHeszWOIZMWZ9nb7j4pHSGTFnPuAFtFEgXKaZiB9GHDh3Kv//9byZOnIinpycAGRkZvPnmmwwdOrRYbS1evJgnnniC9u3bk52dzUsvvUTPnj3Ztm0blStXdtZ79NFHef311523vb29i9ttuYoV9MfheFIq2759hZ4eswgzszhpVmFU1gP8bI8kJzOaNg4VERGRss6V8+/z2Ww2pk+fzunTp51pYjp16sT333/PzTffjL+/P9OmTSM9PZ0uXbrk20ZmZibr1q1j5MiRzmMWi4Xu3buzYsWKS+6biIhImVY5ABp1c5SzbCkJjPh4MnXO7KCFJZbmlr0EGSdpbBymMYe5zfonLPkGluDYvDS4JQS1dKSBCWoBPkFgXH5cwmY3iZ69LU+MBBz54g0gevY2eoQHKQ4iUgzFDqJv2LCBhQsXUqdOHVq2bAnApk2byMzMpFu3btxxxx3Ouj/99FOhbcXExOS6PWnSJAIDA1m3bh2dO5+7dMbb25ugoKDidlUqgIL+ODQxDvC++3giLPvABDPsZjaEvsia+ce0caiIiIiUK66cfwNs2bKFyMhI0tPTqVKlCjNmzCA8PByAadOmcffddxMQEICbmxve3t7MmDGDRo0a5dvW8ePHsdls1KxZM9fxmjVrsmPHjgL7kJGRQUZGhvN2cnIyAFlZWWRlZV30OeTIqVucc6RwGlPX05i6nsbU9TSml29VnMmM1HAgHGyOYzU4SYRlH82MfTQ7+7Oe5di5zUu3z3aeb1augVmzOWZQC8yg5pg1m0PVBmBYiteP2MRcV+lfyATiktJZsTuBjuXsiny9Tl1PY1r0517sILq/v3+ejYXq1q1b3GbylZSUBEC1arl/ib/55humTJlCUFAQffv25dVXX9VqdAFg9QV/HC7Mfe5YfT6Ye9sPp2uj6ixro001REREpHxx9fw7LCyMjRs3kpSUxA8//MDgwYNZvHgx4eHhvPrqq5w6dYoFCxZQvXp1Zs6cyV133cXSpUtp3rz55T4VpzFjxhAdHZ3n+Lx58y5pnj9//nxXdEvOozF1PY2p62lMXU9jeunWHTcAa65jx6jKH/aq/EFrZ2D9sYbJ3FhpH35n9uOXth+/M/vxST+CcfoYxt7fYe/vzvOzLF4kVapPknd9588Ur1qYRsHhvPz6kZ95S1dxYnt+69XLPr1OXa8ij2laWlqR6hU7iD5x4sRid6Yo7HY7w4YN47rrriMiIsJ5/L777qN+/frUqlWLzZs388ILL7Bz584CV9m4alWLK+jbHNey2U1W7jnGuuMGfrsSuLZhDeJOnXbeH3Z29Xlzyz7Akfv85ayHOYY/XZLSnP8P7er5Ar4A2G3Z2G1X+pmULXqdup7G1PU0pq6nMXU9janrlfcxdVW/XT3/9vDwcK4sb9u2LWvWrOHjjz/m+eef5//+7//YunUrzZo1A6Bly5YsXbqUTz/9NN89iapXr47VauXo0aO5jh89erTQK0lHjhzJ8OHDnbeTk5OpW7cuPXv2xNfXt8jPJSsri/nz59OjRw/c3d2LfJ4UTGPqehpT19OYup7G9PIFxCby1a61F63X+cauefZky85Kw0jYjhG/GY5uwYjfgpGwDXdbOtVP76T66Z3OuqbVE7NGE6gZgVkzAjMwHDOwGVTyL1Y/et7QsVyuRNfr1LU0pudixxdT7CB6SXniiSfYunUry5Yty3X8sccec/67efPmBAcH061bN/bs2UPDhg3ztOPqVS2uUJG/zXGVTScMftpn4VSm4xvVr3ZtxN/DJDLQjgWDR62/8qzbtFyrz3+2dyIn6/nevzYy59CGUn0OZZ1ep66nMXU9janraUxdT2PqeuV1TIu6qqW02e12MjIynP21WHJfNm61WrHb7fme6+HhQdu2bVm4cCG33Xabs72FCxcWmq/d09PTmd/9fO7u7pf0Ae5Sz5OCaUxdT2PqehpT19OYXrrIRoEE+3kRn5Sebz5yA0dK2chGgXmviHf3gwbXOkoOWxYc/xviNkP8ZudPIyMZI34TxG/K3YZfXajZjE6BEdxfBVaeDiLWDMJO7r/rhfajnNDr1PUq8pgW9XkXO4h+4sQJXnvtNf744w8SEhLyTKgTExOL2yRDhw7ll19+YcmSJdSpU6fQuh07dgRg9+7d+QbRXbWqxRX0bY5rzP3rKBNXbMrzRygp02DL4USme42nLdsBmG9ry0tnV59Dzh8HT4be3bnc/nEoaXqdup7G1PU0pq6nMXU9janrlfcxLeqqlotx5fx75MiR9O7dm3r16pGSksLUqVNZtGgRc+fOpUmTJjRq1Ih//vOfvP/++wQEBDBz5kzmz5/PL7/84myjW7du3H777c4g+fDhwxk8eDDt2rWjQ4cOjB07ltOnT/Pggw+65PmLiIiUB1aLwai+4QyZsh4DcsUwcqIRo/qGFz02YXWHms0chXsdx+x2OLXPEVA/uhWO/gXxWyHpACQdhKSDWP6O4U0AT0gzPfnbrMN2ez22m/XYYa/PDrMuo/q2UYxEpJiKHUQfOHAgu3fv5uGHH6ZmzZoYl7FzsGmaPPnkk8yYMYNFixYREhJy0XM2btwIQHBw/htBunpViytU5G9zLpfNbvLmbzvz+RbXpL91CaPcvsKHM6SaXkRnD2K67UZy/jyd+yPVDC9PjyvX6XJKr1PX05i6nsbU9TSmrqcxdb3yOqau6rMr598JCQkMGjSIuLg4/Pz8aNGiBXPnzqVHjx4AzJkzhxdffJG+ffuSmppKo0aNmDx5Mn369HG2sWfPHo4fP+68fffdd3Ps2DFee+014uPjadWqFTExMXk2GxUREbnaRUUEM25AG6Jnb8u1f1uQnxej+oYTFZF/LKvILBaodo2jNLvt3PEzpyBhmyOgfnQLHP0LW/xfeNvSaWXsoZVlT+525teDLRFng/QRENQcqoY42i8BNrv2p5Pyr9hB9KVLl7Js2TJatmx52Q/+xBNPMHXqVGbNmoWPjw/x8fEA+Pn5UalSJfbs2cPUqVPp06cPAQEBbN68mWeeeYbOnTvTokWLy358Kfsu3DgUoBrJvOU+gSjrGkcdexh/dXiXZVtsUBJ/pERERERKkSvn3xMmTCj0/tDQUH788cdC6+zbty/PsaFDhxaavkVERKSiiIoIpkd4ECt2JzBv6Sp63tCx5FOnVPKH+p0c5Syr3Ybt+B52b10F8VuocXoXVVP/xkg6dHbl+gHYOedcG+7eEBgOQRGOwHrNCAhs6sy1fqlitsbl+VIhWPEaKYeKHURv0qQJZ86cccmDjxs3DoAuXbrkOj5x4kQeeOABPDw8WLBggfOS0Lp169K/f39eeeUVlzy+lH0JKbkD6DdZNvCu++fUMJLINK18mH0nn9tu4aM6oSzrU0vfbIqIiMhVx5XzbxERESl5VotBx5BqnNhu0rG0YhMWK9bAxoR1bZz7+JmTjjQwR/+C+C2OtDAJ2yErDQ6vdZTz+dZ2BNMDmzqC7IFNoXoYeFx838GYrXEMmbI+T3aB+KR0hkxZz7gBbRRIl3Kj2EH0zz77jBdffJHXXnuNiIiIPJepFifvuGnmt9XCOXXr1mXx4sXF7aKUQwVd2hPo4wVAJdJ52e0bBrgtBOBve22eyXqCv8wGAAT6eGG1GEQ2DCitpyAiIiJSIlw5/xYREZEKrlJVaHC9o+Sw2+DEHmcqGEdamL8g+RAkH3aU3QvOa8SAaiHnguo5AfaARo5c7jjiPNGzt+W7yarpaIHo2dvoER6kBZBSLhQ7iO7v709ycjJdu3bNddw0TQzDwGazuaxzUjEUdmlPj/Aguvoc5NWMDwmxHAXgf9m9eS/7bjLwcO4q3SGkWin1XkRERKRkaf4tIiIiJcpihRqNHSWi/7nj6UmQsMORbz1h+9mf2yDtBCTudZQdv5zXjjtUD4XAphx2a0BEiombUZdDZg1McudbN4G4pHRWxyZqQaSUC8UOot9///24u7szderUy97YSKSwS3v+NWUtc9pv4n/ZH2GxZHPErMaIrMdZbo8ALnF3axEREZFyRvNvERERKRVeflCvo6OcL/XYBYH17Y6SmeIMtNcDvvBwVE8zPfnbrM3f9rrsNOvwt1mXnfa6JOCfJ42vSFlV7CD61q1b2bBhA2FhYSXRH6lACru0pzqn+NB9HE22bAEgvnYvHjh2P39nnHvJauNQERERqQg0/xYREZEypUoNqHIjXHPjuWOmCUmHnIH1Y3s2kLBnA42MI3gbGbQy9tLKsjdXM0mmN5Y/m8D+ZlCjCdQIcxTfOmCxIFKWFDuI3q5dOw4ePKhJvFy21bGJuVK45Ohi2cj77uOpbiRzxvTgSGQ0DXsN4TeTK7u7tYiIiEgZoPm3iIiIlHmGAf51HaVxT6p1Mrn1nd85lnSaesZRGhuHCDMO0thykDDjEA2MePyMNDi23lHO517ZkRamRpOzaWaaOEqVWqXz3ES4hCD6k08+ydNPP81zzz1H8+bN82xs1KJFC5d1Tq5uF16y40EWz7l9z6NucwDYbq/H0KwneSroZhoaBlaD0t/dWkREROQK0/xbREREyhurxWBU33CGTFlPrFmLvWYtYugANkd6Xg8ymdC3Ktf7nYBjO8+VE7sh6zTEbXSU87hZPejiXhNrxk+OzUxrhEH1MAhoCG6epfE0pQIpdhD97rvvBuChhx5yHjMMQxsbSaFsdpPVsYkkpKQT6OPYCDTQx8t5f4gRxyfu/6G5ZR8AE7N78Xb2vWTgkaueiIiISEWj+beIiIiUR1ERwYwb0Ibo2dtyZSJwpOdtw/X5pee1ZcHJfXBsx9nyt+Pn8V0Y2Wfwsx2EbQdh28xz5xhWqHbNuXQwNZpA9caO4uF9rul8YlOlsUCzrPRDiqfYQfTY2NiS6IdcxWK2xuV5wwz28+LVm5sS7OtJp9T5vO4+kcpGBolmFZ7L+icL7W0xztbrEFKt9DovIiIiUso0/xYREZHyKioimB7hQUUPGlvdHalcqodC077njtvtZJ3Yy7rfvqF9iC/WE7vPBtf/hoxkOLHLUXb8krs9v3pQvRH7jVpM21eJDWk12GsPJp5qBPtVuuJ77RUUI9Oef2VfsYPo9evXL4l+yFUqZmscQ6asz7N5aHxSOs9NXcH3tacRkRkDwHJbOM9k/YujVCPnrXRU33B9GyciIiIVmubfIiIiUp5ZLQaRDQMurxGLBfzrc9SvFfZr+2DNSW9nmpASl3vV+rGdjp9nEiHpACQdoD7wHICH47RU04vYM0Hs/b4Wu7a1JTS8NQSEQkCjXKvXXamwGNmQKesZN6CNAullWLGD6ABff/0148ePJzY2lhUrVlC/fn3Gjh1LSEgI/fr1c3UfpZyy2U2iZ2/L8+YA0NA4xDj3jwk9cRi7YeVzy928m94HO47dl4P0LZyIiIiIk+bfIiIiIvkwDPCt5SgNu+a+7/RxbMf+5p0pswlI3881RhzXGHHUN45SxUinubGP5uyDbcth23nn+dV1rIQPCD23Kj4g1PEYxqUt9CwsRmbiyBMfPXsbPcKDtJi0jCp2EH3cuHG89tprDBs2jDfffNOZg9Hf35+xY8dqEi9Oq2MTc12ekuN2y1LedP8SbyODeLMqx3uO49Fro2ipfFAiIiIieWj+LSIiInIJKldndbzB56kngeudh93Jpp5xlGuMOBoaR7jGiCMqOBXf1L1w5iQkHXSUPb/nbs+9MlRvlDe4Xu0a8KxSaFcKipHlMIG4pHRWxyZe/qp9KRHFDqL/5z//4YsvvuC2227j7bffdh5v164dI0aMcGnnpHxLSMn95uBJJqPdJnOv2x8ALLVFMCzrCV7zbkGEKy7tEREREbkKaf4tIiIicmkujE0BZOHGHrM2e8zazD97zPO6VvRrVRtOn3DkVj/+NxzfBSd2O/59ch9knYa4TY5yoSpBENDQEVAPaAjVGp677V4p334Utb9SNlzSxqKtW7fOc9zT05PTp0+7pFNydQj08XL+O8SI4zP3j2lqOYDdNBib3Z//s92GHUuueiIiIiKSm+bfIiIiIpemqDEnZ73KAY5S79rcFWxZjkD68bMB9hO74Phux8+0E5Aa7yj7/8zbuG8dunjX5U03b2LNIPaZQcSaQRw0A8nE/ZL6K1desYPoISEhbNy4Mc8GRzExMTRt2tRlHZPyr0NINYL9vGibsogx7l/gY5zhmOnL01lDWW6PwMCxA3GHkGql3VUREbnCbDYbWVlZpd0Nl8rKysLNzY309HRnug25PGV9TN3d3bFarSX+OJp/i4iIiFyanNhUfFJ6vvnIDRz78l00NmV1P5fChT657ztzChL3wIm9Z3/uhhN7HP9OT4LkQ/glH+L+C6KwNtPgsFmdfWcD6yc869Ih2w1ONAL/eo7HlDKjyEH0119/nREjRjB8+HCeeOIJ0tPTMU2T1atX8+233zJmzBj+97//lWRfpYyy2U1W55PP3GrP5Ls6P1B/z1QAVtmb8GTmkyRQlZxs56P6hiv3uYhIBWKaJvHx8Zw6daq0u+JypmkSFBTEwYMHMS5xwyHJrTyMqb+/P0FBQSXSP82/RURERC6P1WIwqm84Q6asx4BcgXSXxaYq+UPtto5yPtOEtMSzgfU97N6xiR1/baCBEU8DI54qRjr1jGPU4xid2QI24NsvHeda3ByB9GpnU8JUC4GqIY6f/vXBXSvWr7QiB9Gjo6N5/PHHeeSRR6hUqRKvvPIKaWlp3HfffdSqVYuPP/6Ye+65pyT7KmVQzNY4omdvy7U5QrCfF2O6VaXLxmepf2Q9AJOtd/B6+u3YcKzWCvLzYlTfcKIigkul3yIiUjpyAuiBgYF4e3uX2cDopbDb7aSmplKlShUsFktpd+eqUJbH1DRN0tLSSEhIACA42PVzGs2/RURERC5fVEQw4wa0yRO/KvHYlGGcSw9TtwONWt3L7q1xPDp7G3FJZ6hBEg2MeFpVPsG9DTO5xhJ/djX7Xsg+4/iZuDe/hsG31tmgeoNzwfWcn5WqFql7NrvJqthE1h03CIhNJLJRoBa6FqLIQXTTPPddzf3338/9999PWloaqampBAYGlkjnpGyL2RrHkCnr81wO0yBlHRG//geMZMcv7u2fM6BRDxrns1pdREQqDpvN5gygBwRcfZtJ2+12MjMz8fLyKnMB3/KqrI9ppUqVAEhISCAwMNDlqV00/xYRERFxjaiIYHqEB+WbSaHM9cNuh5Q45wp2EvfCyVhI3Of4mZkKyYcdZf+yvA/i5Z87qH7+T59gsFguWBRr5atdawnWgtdCFSsn+oWrxby9vfH29nZph6R8sNlNomdvuyCAbvKwdQ4j3b7FzbCz0wih0aMzsVZrgBWIbHj1BUxERKTocnKga+4gV5Oc13NWVlaJ5EfX/FtERETENawWo0zEpi7aD4sF/Go7Skjn3PeZJpw+fjaoHpv35+kESD8FRzY4yoXcvEitVBv3U748atZkv7Um+81ADpg1OZxUgyFT1jNuQBsF0vNRrCB648aNL3rZdWJi4mV1SMqH1bGJuS6BqUQ677p/Tl/rSgB+tF3PS1mPMOmkD5HaN1RERM5zNaVwESnp17Pm3yIiIiLiZBhQpYaj1O2Q9/6MVDi572y5IMB+6gBkp1MlZQ/d8ln7YTcN4gjg6I81se9qiaVqA0de9qr1HXnYz65ir6iKFUSPjo7Gz8+vpPoi5UhCyrkAen0jnv+6f0QTy0GyTCuvZw/ka1sPwMhVT0RERESKR/NvERERESkyzyoQFOEoF7Jls37LFj6cNpf6xlHqGUepbyQ4/13ZyKA2x6ltHodNf+U93+oBfnVzB9ZzfvrXh8rVHUH+q1Sxguj33HOP8i8KAIE+jl2Ab7Js4GP3T/E10kgw/flX5lOsNZvkqSciIuJKNrt5RfMZPvDAA0yePBkANzc3qlWrRosWLbj33nt54IEHipWve9KkSQwbNoxTp06VSF/37dtHSEhIoXUmTpzIAw88UCKPL66l+beIiIiIuITVjYMEsszenGU0v+BOk+okU884Sl0jgcdbutHU6ySc2g8n90PSIbBlOvK0J+7Jv333yucF2OtdEGSvB5X8S/oZlqgiB9F16XXFlV+gokMDf16u/DMPZ3+PxTBZa2/MvzKfJgHHDsAGjl2OO4Qol4uIiLhW7k1wHK7EJjhRUVFMnDgRm83G0aNHiYmJ4emnn+aHH37g559/LjMbX9atW5e4uDjn7ffff5+YmBgWLFjgPKaVzeWD5t8iIiIi4koFL3Y1OI4fx00/1puNuafdtXB+3nZbNqQccQTUcwLrpw6c+3dKHGSdhmPbHSU/Xn55V6/nBNz96jpW0ZdhRQ6im6Z58Upy1ckvUNHQ1863ARN41PYHGPB1dg9ezx5I1tmXU87HvVF9w6/4LsciInJ1i9kax5Ap67lwVhKflF7im+B4enoSFBQEQO3atWnTpg3XXnst3bp1Y9KkSTz00EMAfPTRR0yaNIm9e/dSrVo1+vbty7vvvkuVKlVYtGgRDz74IHAuQDpq1ChGjx7NyZMnefrpp5k9ezYZGRnceOONfPLJJ4SGhgKwf/9+hg4dyrJly8jMzKRBgwa899579OnTJ1c/rVars58AVapUwc3NLdcxKR80/xYRERERV+oQUo1gPy/ik9LzfKaCQhbFWt3Ori6vB9yQ98TsDMdq9ZP78g+ypx2H9CSI3+wo+alUDbqPgrYPXNZzLClFDqLb7faS7IeUQfkFKuoZRxmX/j6BcYexWTzY1mY0n21pQtZ5QfagK7AaUEREKh6b3SR69rZ8J3smjglf9Oxt9AgPumJf4nbt2pWWLVvy008/OYPoFouFTz75hJCQEPbu3cu//vUvnn/+eT777DM6derE2LFjee2119i5cyfgCHKDI2XMrl27+Pnnn/H19eWFF16gT58+bNu2DXd3d5544gkyMzNZsmQJlStXZtu2bc5zL8Utt9zCqVOnSElJ4a233uLmm2++/AERl9L8W0RERERcyWoxGNU3nCFT1mNArs9Wl7Uo1s0TAho6Sn4yUs8G1c8LrJ/KKQch/RScSQS3spsWulg50aXiyC9QEWn5i8/cP6aqkUq8WZWXrC/yRZ9/sqwPVzQvrYiIVEyrYxNzXRl1IROIS0pndWwikedfeljCmjRpwubN51ZTPP30087ULg0aNOCNN97g8ccf57PPPsPDwwM/Pz8Mw8i1MjwneP7nn3/SqVMnAL755hvq1q3LzJkzufPOOzlw4AD9+/eneXNH/sJrrrnmsvr9n//8h5CQELZv306PHj04dOjQZbUnIiIiIiJlX1REMOMGtMmTeaJEF8V6VoGa4Y5yAZvdZN3O/aQmxOLjXpc2drNMxhUVRJd8XRioGGCdz2i3ybgZdjbaG/JY5nASMqo6AxVXMlghIiIVU0JKwQH0S6nnKqZp5spdvWDBAt555x127NhBcnIy2dnZpKenk5aWhre3d75tbN++HTc3Nzp27Og8FhAQQFhYGNu3O3IKPvXUUwwZMoR58+bRvXt3+vfvT4sWLS653zmbjxqGUWbyuYuIiIiISMmLigimR3gQK3YnMG/pKnre0JHIRoFXPHidN430ToL99pfJDBf6xCT5yglAuJHNG24TeMN9Im6GnRm267g781XnBqJXOlAhIiIVV8Gb4FxaPVfZvn27MyB94MABbr31Vlq0aMGPP/7IunXr+PTTTwHIzMy8rMd55JFH2Lt3LwMHDmTLli20a9eO//znP5fVpmmaDBs2jOeee+6y2hERERERkfLFajHoGFKNttVNOpZCVomcNNIXXm2cs99VzNa4K9qfi1EQXfIV6OOFPyl87f42A9wWYjcN3s66h2ey/kUGHrnqiYiIXAk5m+AUNLUzgOD8NsEpQb///jtbtmyhf//+AGzcuBG73c4HH3zAtddeS+PGjTly5Eiuczw8PLDZbLmONW3alOzsbFatWuU8duLECXbu3El4+LlLHuvWrcvjjz/OTz/9xLPPPssXX3xxWf1/++23MQyDoUOHXlY7IiIiIiIiRXWx/a7Asd+VzZ5fjdKhIHoFZ7ObrNhzglkbD7Nizwnni7ND5aP86vUakdZtpJpePJo1nPG2W8nZZqA0AhUiIlKx5WyCA+QJpF/WJjhFlJGRQXx8PIcPH2b9+vW89dZb9OvXj1tuuYVBgwYBjhQpWVlZ/Oc//2Hv3r18/fXXjB8/Plc7DRo0IDU1lYULF3L8+HHS0tIIDQ2lX79+PProoyxbtoxNmzYxYMAAateuTb9+/QAYNmwYc+fOJTY2lvXr1/PHH3/QtGnTS34+M2fO5Pvvv+f777/PlY5GRERERESkJBVnv6uyQkH0CixmaxzXv/M7936xkqe/28i9X6zk+nd+Z928b7B+2YPaHGW/PZA7Ml9nob2t87wrEagQERHJT84mOEF+ua+ECvLzYtyANiWaNy8mJobg4GAaNGhAVFQUf/zxB5988gmzZs3CarUC0Lx5cz744APeeecdIiIi+OabbxgzZkyudjp16sTjjz/O3XffTY0aNXj33XcBmDhxIm3btuWWW24hMjIS0zSZM2cO7u7uANhsNp544gmaNm1KVFQUjRs35rPPPrvk5zNw4EBsNhu33norXbp04cyZM5fcloiIiIiISFGV1f2uCqONRSuonLxDuS+KMLk59Uda/zkVDBMa3MDu5u+SMi8OrtRuvSIiIheRswnO6thEElLSCfRxXBlVkl/sTpo0iUmTJhWp7rBhwxg+fHiuYwMHDsx1e9y4cYwbNy7XsapVq/LVV18V2O6l5j8fPXo0o0ePznM8JSXlktoTERERERG5HGV1v6vCKIheAeWXd8iKjdFukxnotgCAnyy96Hf/FLq5e9ClddMrGqgQERG5GKvFILJhQGl3Q0RERERERIopZ7+r+KT0fPOiGzgW8ZalNNIKoldAF+YdqswZ/s/9E26ybsJuGryZfT8TbL0JPpBCZMMABSpERERERERERETEJXL2uxoyZT0G5Aqkl9U00sqJXgGdn08oiBP84BHNTdZNnDE9eDxrGBNsfQCjTOUdEhERERERERERkatDae53dSkURK+AcvIJNTP2MdPzNZpaDnDM9OPuzFeZZ2+fp56IiIiIXB3GjRtHixYt8PX1xdfXl8jISH777TcA9u3bh2EY+Zbp06cX2OYDDzyQp35UVNSVekoiIiIiUk5FRQSz7IWufPvotXx8Tyu+ffRalr3QtcwF0EHpXCqkDiHV+EeVrURnfUBlI4Od9jo8lPkch6kBlM28QyIiIiJy+erUqcPbb79NaGgopmkyefJk+vXrx4YNG2jSpAlxcXG56n/++ee899579O7du9B2o6KimDhxovO2p6dnifRfRERERK4u5SWNdKmuRB8zZgzt27fHx8eHwMBAbrvtNnbu3JmrTnp6Ok888QQBAQFUqVKF/v37c/To0VLqcfljs5us2HOCWRsPs2LPCWx2E+uaL3gv+20qGxkss0Xwj8zRuQLoUPbyDomIiIjI5evbty99+vQhNDSUxo0b8+abb1KlShVWrlyJ1WolKCgoV5kxYwZ33XUXVapUKbRdT0/PXOdVrVr1Cj0jEREREZGSV6or0RcvXswTTzxB+/btyc7O5qWXXqJnz55s27aNypUrA/DMM8/w66+/Mn36dPz8/Bg6dCh33HEHf/75Z2l2vVyI2RpH9Oxtzk1ELdh5q/J33GP7BQM42OAfvHjkLlKysp3nBPl5MapveJm8bEJEREREXMdmszF9+nROnz5NZGRknvvXrVvHxo0b+fTTTy/a1qJFiwgMDKRq1ap07dqVN954g4CAglcUZWRkkJGR4bydnJwMQFZWFllZWUV+Djl1i3OOFE5j6noaU9fTmLqextT1NKaupzF1PY1p0Z97qQbRY2Jict2eNGkSgYGBrFu3js6dO5OUlMSECROYOnUqXbt2BWDixIk0bdqUlStXcu2115ZGt8uFmK1xDJmy3rm7rSeZjHX/lN62NQDsjBhOWP/XWGzC6thEElLSCfRxpHDRCnQRERGRq9eWLVuIjIwkPT2dKlWqMGPGDMLDw/PUmzBhAk2bNqVTp06FthcVFcUdd9xBSEgIe/bs4aWXXqJ3796sWLECq9Wa7zljxowhOjo6z/F58+bh7e1d7Oc0f/78Yp8jhdOYup7G1PU0pq6nMXU9janraUxdryKPaVpaWpHqlamc6ElJSQBUq+bIxb1u3TqysrLo3r27s06TJk2oV68eK1asUBC9ADa7SfTsbc4Aui+p/M/jAzpYdpJhuvFs1hDW7bqeZWb5yTskIiIiIq4RFhbGxo0bSUpK4ocffmDw4MEsXrw4VyD9zJkzTJ06lVdfffWi7d1zzz3Ofzdv3pwWLVrQsGFDFi1aRLdu3fI9Z+TIkQwfPtx5Ozk5mbp169KzZ098fX2L/FyysrKYP38+PXr0wN3dvcjnScE0pq6nMXU9janraUxdT2PqehpT19OYnrsi8mLKTBDdbrczbNgwrrvuOiIiIgCIj4/Hw8MDf3//XHVr1qxJfHx8vu246tJQVyitSyJWxSY6U7gEc4JJHu8QZjlEsunNo5nPsspsCknprNidQMdytnmoLjNxPY2p62lMXU9j6nqlMaZZWVmYpondbsdut1+xx71SYmNjadSoEWvXrqV169al3Z2rgmmazp+ues1ER0cza9Ys1q9fX+RzrFYrP/74I7fddlue++x2O6ZpkpWVlWfVdVl9z/Lw8KBRo0YAtG3bljVr1vDxxx/z3//+11nnhx9+IC0tjUGDBhW7/WuuuYbq1auze/fuAoPonp6e+W4+6u7ufkkf4C71PCmYxtT1NKaupzF1PY2p62lMXU9j6noVeUyL+rzLTBD9iSeeYOvWrSxbtuyy2nH1paGucKUviVh33ACshBqHmOzxNrWMROLNqgzOfIGdZj1nvXlLV3Fiu1lwQ2VYRb7MpKRoTF1PY+p6GlPXu5Jj6ubmRlBQEKmpqWRmZl6xx3Wl1atX07t3b7p168a0adNy3efv78+OHTsICAgo8mqGwkydOpWRI0eyf//+y26rvEtJSXFZW48++iiDBw8u9v/RmTNn8j0nMzOTM2fOsGTJErKzs3PdV9RLQ0ub3W7PtQgFHKlcbr31VmrUqFHs9g4dOsSJEycIDtYeOyIiIiJydSgTQfShQ4fyyy+/sGTJEurUqeM8HhQURGZmJqdOncq1Gv3o0aMEBQXl25arLg11hdK6JCIgNpFtu6cwweN9/Iw0dtlrMzjzBY5QPVe9njd0LJcr0Sv6ZSaupjF1PY2p62lMXa80xjQ9PZ2DBw9SpUoVvLy8rshjutr333/P0KFD+fLLL0lNTaVWrVrO+0zTxGq14uPjg2Fc/v4iXl5eGIZxxecvZYlpmqSkpLhsTIFLHs9KlSrle256ejqVKlWic+fOeV7XrvgyxdVGjhxJ7969qVevHikpKUydOpVFixYxd+5cZ53du3ezZMkS5syZk28bTZo0YcyYMdx+++2kpqYSHR1N//79CQoKYs+ePTz//PM0atSIXr16XamnJSIiIiJSoko1iG6aJk8++SQzZsxg0aJFhISE5Lq/bdu2uLu7s3DhQvr37w/Azp07OXDgAJGRkfm26epLQ13hSj92ZPYq2nuOwZMs1tob83DmCJKo4rzfAIL8vIhsFFhuNxGtyJeZlBSNqetpTF1PY+p6V3JMbTYbhmFgsViwWCxX5DFdKTU1lWnTprF27VqOHj3KV199xUsvveS8f+/evTRs2JB169bRpk0bJk2axLBhwzh16pSzzsyZM7n99tudaUo2bdrEsGHDWLt2LYZhEBoayn//+19SU1N5+OGHAZwpQkaNGsXo0aPJyMjg5Zdf5ttvv+XUqVNERETwzjvv0KVLlwL7furUKUaMGMGsWbPIyMigXbt2fPTRR7Rs2ZJjx47RvHlznnrqKefzWb58OV26dOG3336jW7dujB49mpkzZzJkyBDeeOMNTpw4wS233MIXX3yBn58f4FjN/MYbb/D5559z7NgxmjZtyttvv01UVBQA+/btIyQkhB9//JH//Oc/rFq1itDQUMaPH59rXrds2TJGjhzJ2rVrqV69On369OH999/Hx8cHgAYNGvDYY4+xe/dupk+fTtWqVXnllVd47LHHnG0cOnSI5557jrlz55KRkUHTpk359NNP6dixo/O5bNy4EYA1a9bw0ksvsWHDBrKysmjVqhUfffQRbdq0yTWGBb1uLRYLhmHk+7tUFt+vEhISGDRoEHFxcfj5+dGiRQvmzp1Ljx49nHW+/PJL6tSpQ8+ePfNtY+fOnc69jKxWK5s3b2by5MmcOnWKWrVq0bNnT/7973/nOycXERERESmPSvUT7BNPPMGUKVOYOnUqPj4+xMfHEx8fz5kzZwDw8/Pj4YcfZvjw4fzxxx+sW7eOBx98kMjISG0qWpA1E7BOH4wnWcy3tWVA5kt5AugAo/qGl9sAuoiIXEVMEzJPl04xi5fSbNq0aTRp0oSwsDAGDBjAl19+6QyGX6r777+fOnXqsGbNGtatW8eLL76Iu7s7nTp1YuzYsfj6+hIXF0dcXBwjRowAHFfwrVixgu+++47Nmzdz5513EhUVxa5duwp8nDvvvJOEhAR+++03Z5C/W7duJCYmUqNGDb788ktGjx7N2rVrSUlJYeDAgQwdOjRXPuvdu3czbdo0Zs+eTUxMDBs2bOBf//qX8/6PP/6YDz74gPfff5/NmzfTq1cvbr311jz9evnllxkxYgQbN26kcePG3Hvvvc40KHv27CEqKor+/fuzefNmvv32W1auXMmTTz6Zq40PPviAdu3aOfswZMgQdu7cCTi+7Ljxxhs5fPgwP//8M5s2beL5558vMKd6SkoKgwcPZtmyZaxcuZLQ0FD69Onj0hQyZcmECRPYt28fGRkZJCQksGDBglwBdIC33nqLAwcOFPhll2maPPDAA4Bjhf7cuXNJSEggMzOTffv28fnnn1OzZs2SfioiIiIiIldMqa5EHzduHECelVMTJ050Tsw/+ugjLBYL/fv3JyMjg169evHZZ59d4Z6WA6YJf7wFS9513G77APb6I6j669/OTUbBsQJ9VN9woiKUo1JERMqArDR4q9bF65WEl46AR+UiV58wYQIDBgwAICoqiqSkJBYvXlzoCvCLOXDgAM899xxNmjQBIDQ01Hmfn58fhmHkSmF34MABJk6cyIEDB5ypZEaMGEFMTAwTJ07krbfeyvMYy5YtY/Xq1SQkJDhXBr///vvMnDmTH374gccee4w+ffrw6KOPcv/999OuXTsqV67MmDFjcrWTnp7OV199Re3atQH4z3/+w80338wHH3xAUFAQ77//Pi+88AL33HMPAO+88w5//PEHY8eO5dNPP3W2M2LECG6++WbAsclns2bN2L17tzNFyP3338+wYcMAaNiwIW+//Ta33HIL48ePd6ZL6dOnjzOA/8ILL/DRRx/xxx9/EBYWxtSpUzl27Bhr1qyhWjVH2rqcTTTz07Vr11y3P//8c/z9/Vm8eDG33HJLgeeJiIiIiEjFUerpXC7Gy8uLTz/9NNeHL3Gw2U1WxyaSkHyaa/96k5q7v3Pc0WUk3PgCvQyD7hF1HHVS0gn08aJDSDWtQBcRESmmnTt3snr1ambMmAE4Nkm9++67mTBhwmUF0YcPH84jjzzC119/Tffu3bnzzjtp2LBhgfW3bNmCzWajcePGuY5nZGQQEBCQ7zmbNm0iNTU1z/1nzpxhz549ztvvv/8+ERERTJ8+nXXr1uVJxVGvXj1nAB0gMjISu93Ozp078fb25siRI1x33XW5zrnuuuvYtGlTrmMtWrRw/jtn48mEhASaNGnCpk2b2Lx5M998842zjmma2O12YmNjadq0aZ42cr5oSEhIAGDjxo20bt3aGUC/mKNHj/LKK6+waNEiEhISsNlspKWlceDAgSKdLyIiIiIiV78ysbGoFF/M1jiiZ2/jeFIqH7l/Sk3rKmxY2N5mFBFdhjnrWS0GkQ3z/1AtIiJS6ty9HSvCS+uxi2jChAlkZ2fn2UjU09OT//u//3PmBT+fxWLJs2AgKysr1+3Ro0dz33338euvv/Lbb78xatQovvvuO26//fZ8+5GamorVamXdunXOXOk5qlSpUuA5wcHBLFq0KM9952/cvmfPHo4cOYLdbmffvn00b9483/Yu1/l5wnM2C81JtZKamso///lPnnrqKefx1NRUqlSpQoMGDfJtI6ednDYqVapUrP4MHjyYEydO8PHHH1O/fn08PT2JjIwkMzOz2M9NRERERESuTgqil0MxW+MYMmU9nmTwhftYulg3kWlaeSrrSeYuD2XcNXFK1yIiIuWDYRQrpUppyM7O5quvvuKDDz7Is9Hibbfdxrfffsvjjz+e57waNWqQkpLC6dOnqVzZ8RxzNrM8X+PGjWncuDHPPPMM9957LxMnTuT222/Hw8MDm82Wq27r1q2x2WwkJCRwww03FKn/bdq0IT4+Hjc3t1yB6PNlZmYyYMAA7r77bsLCwnjkkUfYsmULgYGBzjoHDhzgyJEjzi8SVq5cicViISwsDF9fX2rVqsWff/7JjTfe6Dznzz//pEOHDkXqZ05ft23b5ky/YrfbSU5OxtfXt8ib0bZo0YL//e9/JCYmFmk1+p9//slnn31Gnz59ADh48CDHjx8vcp9FREREROTqV6obi0rx2ewm0bO3UYU0vvJ4my7WTaSZnjyc9RwxdseH1OjZ27DZL2+jMxEREXH45ZdfOHnyJA8//DARERG5Sv/+/ZkwYUK+53Xs2BFvb29eeukl9uzZw9SpU5k0aZLz/jNnzjB06FAWLVrE/v37+fPPP1mzZo0zZUmDBg1ITU1l4cKFHD9+nLS0NBo3bsz999/PoEGD+Omnn4iNjWX16tWMGTOGX3/9Nd9+dO/encjISG677TbmzZvHvn37WL58OS+//DJr164FHJt9JiUl8cknn/DCCy/QuHFjHnrooVzteHl5MXjwYDZt2sTSpUt56qmnuOuuu5w525977jneeecdvv/+e3bu3MmLL77Ixo0befrpp4s81i+88ALLly9n6NChbNy4kV27djFnzpw8G4sW5t577yUoKIjbbruNP//8k7179/Ljjz+yYsWKfOuHhoby9ddfs337dlatWsX9999f7NXsIiIiIiJydVMQvZxZHZtIZtJRvvV4gw6WnSSb3gzIHMlSuyM3qAnEJaWzOjaxdDsqIiJylZgwYQLdu3fPN2VL//79Wbt2LZs3b85zX7Vq1ZgyZQpz5syhefPmfPvtt4wePdp5v9Vq5cSJEwwaNIjGjRtz11130bt3b6KjowHo1KkTjz/+OHfffTc1atTg3Xcdm4dPnDiRQYMG8eyzzxIWFsZtt93GmjVrqFevXr79NwyDOXPm0LlzZx588EEaN27MPffcw/79+6lZsyaLFi1i7NixfP31184V319//TVLly51bgIPjs0577jjDvr06UPPnj1p0aJFrs3en3rqKYYPH86zzz5L8+bNiYmJ4eeff861WerFtGjRgsWLF/P3339zww030LZtW956661caXQuxsPDg3nz5hEYGEifPn1o3rw5b7/9dp70NzkmTJjAyZMnadOmDQMHDuSpp57KtQJfRERERERE6VzKmeSjsUzzeJ2GljiOmb4MyhzJdrN+nnoJKeml0DsREZGrz+zZswu8r0OHDs6859u3bwdy5ya/7bbbuO2223Kd8+ijjwKOYO+3335b6GOPGzcuVyAbHPnAo6OjncH2ovDx8eGTTz7hk08+yXNf3bp18+Rqb9CgAUlJSXnqDhkyhCFDhuT7GBaLhVGjRjFq1Kh872/QoEGeHPH+/v55jrVv35558+YBudO55Ni3b1+eti9Mk1O/fn1++OGHfPsxevToXF9mtG7dmjVr1uSq849//CPX7Qv7KCIiIiIiFYuC6OXJ8d10+XMgnpY4DpsBDMh8iVgz/9zngT5eV7hzIiIiFVdiYiI//vgjPj4+1K1bt7S7IyIiIiIiIi6kIHp5Eb8Fvr4dz9PH2G/U5t70FzlCQJ5qBhDk50WHkItvpCUiIiKu8fDDD7Nu3To++OADPD09S7s7IiIiIiIi4kIKopdhNrvJ6thEsvatoNPKx3HLSoGg5uxpN564H/Zj4MiBnsM4+3NU33CsFiOfFkVERKQkzJgxw5l65Gp0YQoUERERERGRikRB9DIqZmsc0bO3UT9lPV+6v4ebkcEmownHOkyge5swxnkFED17G3FJ53KfB/l5MapvOFER+ad4EREREREREREREZHiURC9DIrZGseQKeu5zrKFL9w/oJKRyRJbc/6ZNZz0absZ5+FLVEQwPcKDWB2bSEJKOoE+jhQuWoEuIiIiIiIiIiIi4joKopcxNrtJ9Oxt3GjZyH/dP8LTyGKhrTX/ynqaDDwwgOjZ2+gRHoTVYhDZMG9edBERERERERERERFxDUtpd0ByWx2bSLOUP/mv+4d4GlnMtbXj8axnyMADcORAj0tKZ3VsYul2VERERERERERERKQC0Er0Msa642fGuY/F3bDxi60jw7KeIDuf/6aElPR8zhYRERERERERERERV1IQvSzZ+iPt1z6LYdiYaevEs1lDsGHNt2qgj9cV7pyIiIiIiIiIiIhIxaMgelmx6XuY+TiGaWeOpQvPpj+CLZ9sOwYQ5OfYRFRERERERERERERESpZyopcFG6bAjH+CaYc2g7Dc/hl2LBgXVMu5PapvOFbLhfeKiIhISTAMo9AyevTo0u5ikTz++OMYhsHYsWNzHX/zzTfp1KkT3t7e+Pv7F6kt0zR57bXXCA4OplKlSnTv3p1du3Y571+0aFGB47VmzZoC2925cyfXXXcdderU4Y033shz/4YNG7jzzjupWbMmXl5ehIaG8uijj/L3338Xqd8iIiIiIiKXQkH0UmKzm6zYc4KNMz+CWU8AJrR7GG75mKjmtRk3oA1BfrlTtgT5eTFuQBuiIoJLp9MiIiIVUFxcnLOMHTsWX1/fXMdGjBhR2l28qBkzZrBy5Upq1aqV577MzEzuvPNOhgwZUuT23n33XT755BPGjx/PqlWrqFy5Mr169SI93bFnS6dOnXKNUVxcHI888gghISG0a9euwHaHDh3KgAEDmDVrFrNmzWL58uXO+3755ReuvfZaMjIy+Oabb9i+fTtTpkzBz8+PV199tRijISIiIiIiUjxK51IKYrbGET17Gzel/spb7hMA+N56M371RxBlcXyvERURTI/wIFbHJpKQkk6gjyOFi1agi4iIXFlBQUHOf/v5+WEYRq5jZd3hw4d58sknmTt3LjfffHOe+6OjowGYNGlSkdozTZOxY8fyyiuv0K9fPwC++uoratasycyZM7nnnnvw8PDINUZZWVnMmjWLJ598EsMoeC5z8uRJ2rZtS4sWLahVqxanTp0CIC0tjQcffJA+ffowY8YMZ/2QkBA6duzorCciIiIiIlIStBL9CovZGseQKeu5IfU3ZwD98+ybefH0fQz5ZgMxW+Ocda0Wg8iGAfRrVZvIhgEKoIuIyFXrdObpAkt6dnqR657JOlOkuq722GOPccMNN3Ddddfx5Zdf5rrv1VdfJSwsjIEDB5KcnMysWbNo0aIFnTt3ZtOmTYW2+/jjj1OlSpVCS2HsdjsDBw7kueeeo1mzZpf9PAFiY2OJj4+ne/fuzmN+fn507NiRFStW5HvOzz//zIkTJ3jwwQcLbfv111+ne/fueHt7Y7FY6NWrFwBz587l+PHjPP/88/meV9Q0NCIiIiIiIpdCK9GvIJvdJHr2Nu6wLOFtt/8B8GV2FG9l3wcYGED07G30CA9SwFxERCqUKmMKDgb3Ce3Dr/f96rwd+H4gaVlp+da9sf6NLHpgkfN2g48bcDzteJ565ijz0jubj5EjR1K/fn327dtHmzZtuP/++6lUqRIxMTGcPHmStWvX8vHHH9O/f38SExP56aefsNvt/Otf/2LBggUFtvv6669fVrqYd955Bzc3N5566qlLbuNC8fHxANSsWTPX8Zo1azrvu9CECRPo1asXderUKbTtPn36cOzYMZKTk6lRowZ2ux2A3bt3A9CkSZPL7b6IiIiIiEixKYh+Ba2OTaR9ykLec/8vFsNkcnYPXs8eSM6WoSYQl5TO6thEIhsGlGpfRUREpOhCQkKw2+1YzqZlM01HkH7Dhg0MHjwYHx8fXnnlFWbMmMHzzz9Po0aNAAgICCAzMxMPD4982w0MDCQwMPCS+rRu3To+/vhj1q9fX2gKlZJ26NAh5s6dy7Rp04pU39PTkxo1auQ6ljOeIiIiIiIipUFB9CvIbfsMPnL/DIth8k12N0ZlP0BOAP18CSnpeY6JiIhczVJHphZ4n9VizXU7YURCgXUtRu5Mdfue3ndZ/Squ0aNH89BDD+Ht7Q1AWFgYMTExtG/fnvnz52MYBm+//TbdunXDzc2No0ePFhhAB0c6lylTphT6mKmp+Y/d0qVLSUhIoF69es5jNpuNZ599lrFjx7Jv377iP0HO5Yg/evQowcHnNjs/evQorVq1ylN/4sSJBAQEcOutt17S4wGEhoYCsGPHDiIjIy+5HRERERERkUuhIPqVsm0W7dY9j2GYfJfdhVeyHyS/ADpAoI/Xle2biIhIKavsUbnU616ub7/9lnXr1rFy5Urnsdtvv53ffvuNevXqUatWLWbNmsWvv/5Ky5YtqVSpEp999lmhbV5OOpeBAwfmylsO0KtXLwYOHHjR3OSFCQkJISgoiIULFzqD5snJyaxatYohQ4bkqmuaJhMnTmTQoEG4u7tf8mP27NmT6tWr8+677+baWDTHqVOnlBddRERERERKjILoV4Cxcw789BCGaWOOpQsvZT+Cmc+ergYQ5OdFh5BqV76TIiIicslWrVrF6NGjmTlzJpUqVXIeNwyDL774Ilfdxx57jEcffbRIKVYuJ51LQEAAAQG508O5u7sTFBREWFiY89iBAwdITEzkwIED2Gw2Nm7cCECjRo2cG5c2adKEMWPGcPvtt2MYBsOGDeONN94gNDSUkJAQXn31VWrVqsVtt92W6/F+//13YmNjeeSRRy7pOeSoXLky//vf/7jzzju59dZbeeqpp2jUqBHHjx9n2rRpHDhwgO++++6yHkNERERERKQgCqKXEJvdZFVsIikHN2HZ9AnYs6H5nVgaj8b8ZhMGjhzoOXI+Ro/qG65NRUVERMqZnCDxP//5T9zc3Jg4cSIhISEF1i/NHOUXeu2115g8ebLzduvWrQH4448/6NKlCwA7d+4kKSnJWef555/n9OnTPPbYY5w6dYrrr7+emJgYvLxyX003YcIEOnXq5JINQfv168fy5csZM2YM9913H8nJydStW5euXbvyxhtvXHb7IiIiIiIiBVEQvQTEbI0jevY2QlNW8YX7x1iMbBZYOmELHUVU8zqMG2AlevY24pLO5T4P8vNiVN9woiKCC2lZREREStMDDzzAAw88kOf4li1bsNvtJCcn4+vr69xgtKzJLw/6pEmTmDRpUqHnXbixp2EYvP7667z++uuFnjd16tTidrFQ7dq148cff3RpmyIiIiIiIhejILqLxWyNY8iU9XSybOFz9w/xNLL5zdaep9IfJ3vqZsZZ3IiKCKZHeBCrYxNJSEkn0MeRwkUr0EVERERERERERETKFgXRXchmN4mevQ0TuNmyEi8ji/m2tjyV9SRZuGEA0bO30SM8CKvFILJhwMWaFBERERGpME5nnsaaac1z3Gqx4uXmlaseQFZWFum2dE5nnsbddGxeazEsVHKvlKdufi6sm5aVlufKixyGYeDt7n1Jdc9kncFu2gvsx/mbIBenbnp2Oja7zSV1vd29nammsuxZuca0sLoZ2Rlk27MLbLeSeyUshuPqnExbJlm2LJfU9XLzwmqxFrtuli2LTFtmgXU93Txxs7gVu262PZuM7Ix862VlZZFtnhujwuoCeFg9cLc6xt5mt5GenV5gXXerOx5Wj2LXtZt2zmSdcUldN4sbnm6egOPKpbSsNJfULej3HvL+7hdW90J6jyi47oXvp+crzu+93iMcLOa5KxOL83uv94iC657/u+9leBX5917vEfnXTc9OJz2z4N/9S51HlMf3iKJQEN2FVscmOlO0vJL9MH+bdZlq60bW2WE2gbikdFbHJiqALiIiIiJygVof1AKvvMf7hPbh1/t+dd4OfD8w9wfrLef+eWP9G1n0wCLn7QYfN+B42vF8H69drXaseXSN83b4p+HsT9qfb93wGuH89a+/nLfbf9Gebce25Vu3vl999g3b57zdeVJn1h5Zm2/d6t7VOfbcMeft3t/0ZvH+xfnW9Xb35vRL5z7M95/Wnzm75uRbF8Acde7D+cAZA/lh2w8F1k0dmer8sPzZwc+48/07C6ybMCKBGpVrADB87nA+W/tZgXVjn46lgX8DAF5e+DLvr3i/wLpbh2ylWWAzAN5a+hbRi6MLrLv6kdW0r90egI9XfszzC54vsO4fg/+gS4MuAHy+7nOG/ja0wLq/3PsLNze+GYBvtnzDg7MeLLDutH9M485mjnGasX0GUOUXxwABAABJREFUd/1wV4F1n6z7JLdyKwBzd8/llm9vKbDu//X+P57o8AQASw8s5abJNxVY993u7/Lcdc8BsD5uPR3+16HAuqNuHMXoLqMB2H5sOxHjIgqsOyJyBO/1fA+AA0kHCPm44H0+/tXuX3x686cAHE87TuD7BW+IPbjlYCbdNglwBJCqjKlSYN1/hP+D6XdOd97Ot+7Z3/2LvkecR+8R55z/HvHAzw/w046fcr2fnu/894h//vJPJm+anH9F9B6RY+rtU/HGEQi92HvExH4TeaDVA4DeI4r0HrGliO8RZ+k9wqHQ94h8fvcvdR5R3t4jxq0ZV2C98ymI7kIJKee+0bNjYZIt6qL1RERERERERERERKTsMsyCrh24SiQnJ+Pn50dSUhK+vr4l+lgr9pzg3i9WXrTet49eq5XolygrK4s5c+bQp08f3N3zv7xUikdj6noaU9fTmLpeaYxpeno6sbGxhISE4OWVz1LTcq48bCxa3pSHMS3sdX0l56HlXc5YHTl2JN+xKiydy9y5c+nVq5fzvayiXYbt6nQuWVlZzPplFt17di/w70NZvAy7rKdzWTh/IbfefCvu7u5K1eCidC7n/+4rVUP+dYvzHpFyJoU5v83J9X56vvKeqqG00rnMi5lHnz59MKyG0rngmnQuOb/7Xp5K55LjstK5ZKTnmUsVVPdqTedy/ORxalSrcdE5u1aiu1CHkGoE+3kRn5ROfr8GBhDk59hEVEREpKK6yr+/lwpGr2fXquxROdcHtsLqAWQZWXhZvajsUbnAgG9R2stx/gdWV9Y9/wO2K+ueHxBwZV13i3uhY3o+TzdPPPEsUrseVg9n0KW06rpb3Z3BJ1fWdbO44eaR/8frLCMLN8OtSHUvZLVYi/waLk5di2EpkbqGYZRIXcj9u3yx3/1Lbfdirvb3iIu9n+Yozu99RX6PyMo6F8Arzu+93iMKrpvrd9+t4IDvxeg9wsHLzQuraS3S735x3k/K43tEUZTNJT3llNViMKpvOOAImJ8v5/aovuFYLRfeKyIicvXLmZSlpRW8+kSkvMl5PZeXq2TGjRtHixYt8PX1xdfXl8jISH777TcA9u3bh2EY+Zbp06cX2KZpmrz22msEBwdTqVIlunfvzq5du67UUxIRERERKXFaie5iURHBjBvQhujZ25ybjIJjBfqovuFERQSXYu9ERERKj9Vqxd/fn4SEBAC8vc9dxnc1sNvtZGZmkp6eXmZTj5Q3ZXlMTdMkLS2NhIQE/P39sVqtpd2lIqlTpw5vv/02oaGhmKbJ5MmT6devHxs2bKBJkybExcXlqv/555/z3nvv0bt37wLbfPfdd/nkk0+YPHkyISEhvPrqq/Tq1Ytt27ZdlambRERERKTiURC9BERFBNMjPIgVuxOYt3QVPW/oSGSjQK1AFxGRCi8oKAjAGUi/mpimyZkzZ6hUqdJV9eVAaSoPY+rv7+98XZcHffv2zXX7zTffZNy4caxcuZJmzZrleS4zZszgrrvuokqVKvm2Z5omY8eO5ZVXXqFfv34AfPXVV9SsWZOZM2dyzz33lMwTERERERG5gko1iL5kyRLee+891q1bR1xcHDNmzOC2225z3v/AAw8wefLkXOf06tWLmJiYK9zT4rNaDDqGVOPEdpOOIdUUQBcREcGR2zA4OJjAwMBceSKvBllZWSxZsoTOnTuXm9QeZV1ZH1N3d/dyswI9PzabjenTp3P69GkiIyPz3L9u3To2btzIp59+WmAbsbGxxMfH0717d+cxPz8/OnbsyIoVKxREFxEREZGrQqkG0U+fPk3Lli156KGHuOOOO/KtExUVxcSJE523PT2LlmxeREREyi6r1Vqug4/5sVqtZGdn4+XlVSYDvuWRxrRkbNmyhcjISNLT06lSpQozZswgPDw8T70JEybQtGlTOnXqVGBb8fHxANSsWTPX8Zo1azrvy09GRgYZGRnO28nJyYDji5PifMGWU/dq+1KuNGlMXU9j6noaU9fTmLqextT1NKaupzEt+nMv1SB67969C82vCI6geXm6RFZEREREpCwLCwtj48aNJCUl8cMPPzB48GAWL16cK5B+5swZpk6dyquvvloifRgzZgzR0dF5js+bNw9vb+9itzd//nxXdEvOozF1PY2p62lMXU9j6noaU9fTmLpeRR7TtLS0ItUr8znRFy1aRGBgIFWrVqVr16688cYbBAQEFFjfVataXEHf5riextT1NKaupzF1PY2p62lMXU9j6nrlfUzLar89PDxo1KgRAG3btmXNmjV8/PHH/Pe//3XW+eGHH0hLS2PQoEGFtpWz2OXo0aMEBwc7jx89epRWrVoVeN7IkSMZPny483ZycjJ169alZ8+e+Pr6Fvm5ZGVlMX/+fHr06KGrFVxEY+p6GlPX05i6nsbU9TSmrqcxdT2N6bnY8cWU6SB6VFQUd9xxByEhIezZs4eXXnqJ3r17s2LFigIvAXf1qhZXqMjf5pQUjanraUxdT2PqehpT19OYup7G1PXK65gWdVVLabPb7bkWoYAjlcutt95KjRo1Cj03JCSEoKAgFi5c6AyaJycns2rVKoYMGVLgeZ6envmmaXR3d7+kD3CXep4UTGPqehpT19OYup7G1PU0pq6nMXW9ijymRX3eZTqIfv5GRM2bN6dFixY0bNiQRYsW0a1bt3zPuXBVS1JSEvXq1SMyMhIfH58S7/P5srKy+OOPP7jpppsq7AvR1TSmrqcxdT2NqetpTF1PY+p6GlPXK+9jmpKSAoBpmqXck3NGjhxJ7969qVevHikpKUydOpVFixYxd+5cZ53du3ezZMkS5syZk28bTZo0YcyYMdx+++0YhsGwYcN44403CA0NJSQkhFdffZVatWpx2223FblfOWNU1JVAObKyskhLSyM5OblcvkbKIo2p62lMXU9j6noaU9fTmLqextT1NKbn5p8Xm7OX6SD6ha655hqqV6/O7t27CwyiX7iqJWcgQkJCrkgfRURERETOl5KSgp+fX2l3A4CEhAQGDRpEXFwcfn5+tGjRgrlz59KjRw9nnS+//JI6derQs2fPfNvYuXMnSUlJztvPP/88/8/efUdFdfxtAH+WpVfFBkgRFURAsCtqsBPsvRfslVhii5oETeya2BLRRMXeY+8NG2LBWGNXEAuKilJE2u68f/CyP1faAosL8nzO2ZPs3Llz5869u3x3nDvz4cMHDBkyBO/fv0eDBg1w+PBh6Ovrq1yvtH9wsLGxyeWZERERERHlXnYxu0QUkKExEokEu3btynLEyrNnz2Bra4vdu3ejbdu2KpUrl8vx4sULmJiYQCKRqKm2qkmb2/Hp06c5mtuRMsc2VT+2qfqxTdWPbap+bFP1Y5uqX2FvUyEEYmNjYWVlBS0tLU1Xp0DLbcxe2O+Rgohtqn5sU/Vjm6of21T92KbqxzZVP7ap6jG7Rkeix8XF4eHDh4r3oaGhuHbtGszNzWFubo7p06ejU6dOsLCwwKNHjzBx4kRUrFgR3377rcrH0NLSgrW1dX5UX2WmpqZF9kbML2xT9WObqh/bVP3YpurHNlU/tqn6FeY2LSgj0Au6vMbshfkeKajYpurHNlU/tqn6sU3Vj22qfmxT9SvqbapKzK7RTvSQkBA0btxY8T5tLnMfHx/4+/vjxo0bWLt2Ld6/fw8rKyt4eXnh119/zXARIiIiIiIiIiIiIiIiddNoJ3qjRo2ynLT90wWOiIiIiIiIiIiIiIi+NE7OmI/09PTg5+fHkfNqxDZVP7ap+rFN1Y9tqn5sU/Vjm6of25Syw3tE/dim6sc2VT+2qfqxTdWPbap+bFP1Y5uqrsAsLEpEREREREREREREVNBwJDoRERERERERERERUSbYiU5ERERERERERERElAl2ohMRERERERERERERZYKd6Pnkzz//RLly5aCvr486derg0qVLmq5SoXHmzBm0adMGVlZWkEgk2L17t9J2IQR+/vlnWFpawsDAAM2aNcODBw80U9lCYvbs2ahVqxZMTExQunRptG/fHvfu3VPKk5CQgJEjR6JEiRIwNjZGp06d8OrVKw3VuODz9/eHm5sbTE1NYWpqCg8PDxw6dEixne2Zd3PmzIFEIsGYMWMUaWzXnJk2bRokEonSy8nJSbGd7Zk7z58/R+/evVGiRAkYGBigSpUqCAkJUWzn36mcK1euXLp7VSKRYOTIkQB4rxYFWd0DUVFR+O6771CpUiUYGBjA1tYWo0aNQnR0dJZl9uvXL1153t7eX+iMCobsPluNGjVKt23YsGFZllnUv+OyatOwsLAMt0kkEmzfvj3TMov6vSqTyfDTTz/B3t4eBgYGqFChAn799Vd8unxbbu+7ovq7PLs2TU5OxqRJk1ClShUYGRnBysoKffv2xYsXL7IsN7vY8mumyn2a288y79PM2zSz79T58+dnWm5Rvk8BIDY2FmPGjIGdnR0MDAxQr149XL58WbGd36d5IEjttmzZInR1dcXq1avFf//9JwYPHiyKFSsmXr16pemqFQoHDx4UU6dOFTt37hQAxK5du5S2z5kzR5iZmYndu3eL69evi7Zt2wp7e3vx8eNHzVS4EPj2229FQECAuHXrlrh27Zpo2bKlsLW1FXFxcYo8w4YNEzY2NuLEiRMiJCRE1K1bV9SrV0+DtS7Y9u7dKw4cOCDu378v7t27J6ZMmSJ0dHTErVu3hBBsz7y6dOmSKFeunHBzcxOjR49WpLNdc8bPz0+4uLiIiIgIxev169eK7WzPnIuKihJ2dnaiX79+4uLFi+Lx48fiyJEj4uHDh4o8/DuVc5GRkUr36bFjxwQAERgYKITgvVoUZHUP3Lx5U3Ts2FHs3btXPHz4UJw4cUI4ODiITp06ZVmmj4+P8Pb2Vio3KirqC51RwZDdZ6thw4Zi8ODBSnmio6OzLLOof8dl1aYpKSlK2yIiIsT06dOFsbGxiI2NzbTMon6vzpw5U5QoUULs379fhIaGiu3btwtjY2OxePFiRZ7c3HdF+Xd5dm36/v170axZM7F161Zx9+5dERwcLGrXri1q1KiRZbnZxZZfM1Xu09x8lnmfZt2mn3+nrl69WkgkEvHo0aNMyy3K96kQQnTt2lU4OzuL06dPiwcPHgg/Pz9hamoqnj17JoTg92lesBM9H9SuXVuMHDlS8V4mkwkrKysxe/ZsDdaqcPq8E10ulwsLCwsxf/58Rdr79++Fnp6e2Lx5swZqWDhFRkYKAOL06dNCiNQ21NHREdu3b1fkuXPnjgAggoODNVXNQqd48eJi5cqVbM88io2NFQ4ODuLYsWOiYcOGik50tmvO+fn5CXd39wy3sT1zZ9KkSaJBgwaZbuffKfUYPXq0qFChgpDL5bxXi6hP74GMbNu2Tejq6ork5ORMy/Dx8RHt2rXLpxoWTp+366d/Z1XB77j0srtXq1atKgYMGJBlGUX9Xm3VqlW6NurYsaPo1auXECL3911R/l2eXZtm5NKlSwKAePLkSaZ5sootv3aqtGluPsu8T3N2n7Zr1040adIky3KL8n0aHx8vpFKp2L9/v1J69erVxdSpU/l9mkeczkXNkpKScOXKFTRr1kyRpqWlhWbNmiE4OFiDNfs6hIaG4uXLl0rta2Zmhjp16rB9cyDt8Wdzc3MAwJUrV5CcnKzUrk5OTrC1tWW7qkAmk2HLli348OEDPDw82J55NHLkSLRq1Uqp/QDep7n14MEDWFlZoXz58ujVqxfCw8MBsD1za+/evahZsya6dOmC0qVLo1q1avj7778V2/l3Ku+SkpKwYcMGDBgwABKJhPdqEfT5PZCR6OhomJqaQltbO8uyTp06hdKlS6NSpUoYPnw43r59mx9VLhQya9eNGzeiZMmScHV1xeTJkxEfH59pGfyOU5bdvXrlyhVcu3YNAwcOzLasonyv1qtXDydOnMD9+/cBANevX8e5c+fQokULALm774r67/Ls2jQj0dHRkEgkKFasWJZlZxZbfu1UbdOcfJZ5n+bsPn316hUOHDig0ndqUb1PU1JSIJPJoK+vr5RuYGCAc+fO8fs0j7KOOinH3rx5A5lMhjJlyiillylTBnfv3tVQrb4eL1++BIAM2zdtG2VNLpdjzJgxqF+/PlxdXQGktquurm66gIntmrWbN2/Cw8MDCQkJMDY2xq5du+Ds7Ixr166xPXNpy5Yt+Pfff5XmbEvD+zTn6tSpgzVr1qBSpUqIiIjA9OnT8c033+DWrVtsz1x6/Pgx/P398f3332PKlCm4fPkyRo0aBV1dXfj4+PDvlBrs3r0b79+/R79+/QDws18UfX4PfO7Nmzf49ddfMWTIkCzL8fb2RseOHWFvb49Hjx5hypQpaNGiBYKDgyGVSvOh5gVbRu3as2dP2NnZwcrKCjdu3MCkSZNw79497Ny5M8My+B2nLLt7ddWqVahcuTLq1auXZTlF/V794YcfEBMTAycnJ0ilUshkMsycORO9evUCkLv7rqj/Ls+uTT+XkJCASZMmoUePHjA1Nc203KxiSxMTk/w6nQJBlTbN6WeZ92nO7tO1a9fCxMQEHTt2zLLconyfmpiYwMPDA7/++isqV66MMmXKYPPmzQgODkbFihX5fZpH7EQnKmJGjhyJW7du4dy5c5quSqFXqVIlXLt2DdHR0dixYwd8fHxw+vRpTVer0Hr69ClGjx6NY8eOpfuXc8qdT0dxuLm5oU6dOrCzs8O2bdtgYGCgwZoVXnK5HDVr1sSsWbMAANWqVcOtW7ewfPly+Pj4aLh2X4dVq1ahRYsWsLKy0nRVSEOyugdiYmLQqlUrODs7Y9q0aVmW0717d8X/V6lSBW5ubqhQoQJOnTqFpk2bqrvaBV5G7frpP0RUqVIFlpaWaNq0KR49eoQKFSpoopqFSlb36sePH7Fp0yb89NNP2ZZT1O/Vbdu2YePGjdi0aRNcXFxw7do1jBkzBlZWVvzbmks5adPk5GR07doVQgj4+/tnWW5WsaUqo4MLM1XatKh/lnMqp5/91atXo1evXtn+VizK9ykArF+/HgMGDEDZsmUhlUpRvXp19OjRA1euXNF01Qo9TueiZiVLloRUKsWrV6+U0l+9egULCwsN1errkdaGbN/c8fX1xf79+xEYGAhra2tFuoWFBZKSkvD+/Xul/GzXrOnq6qJixYqoUaMGZs+eDXd3dyxevJjtmUtXrlxBZGQkqlevDm1tbWhra+P06dNYsmQJtLW1UaZMGbZrHhUrVgyOjo54+PAh79NcsrS0hLOzs1Ja5cqVFY+I8u9U3jx58gTHjx/HoEGDFGm8V4uWjO6BNLGxsfD29oaJiQl27doFHR2dHJVdvnx5lCxZEg8fPlRXdQuNrNr1U3Xq1AGATNuI33H/k12b7tixA/Hx8ejbt2+Oyy5q9+qECRPwww8/oHv37qhSpQr69OmDsWPHYvbs2QByd98V9d/l2bVpmrQO9CdPnuDYsWNZjkLPyKex5ddO1Tb9VHafZd6nqrfp2bNnce/evWz/jmWkKN2nAFChQgWcPn0acXFxePr0KS5duoTk5GSUL1+e36d5xE50NdPV1UWNGjVw4sQJRZpcLseJEyfg4eGhwZp9Hezt7WFhYaHUvjExMbh48SLbNwtCCPj6+mLXrl04efIk7O3tlbbXqFEDOjo6Su167949hIeHs11zQC6XIzExke2ZS02bNsXNmzdx7do1xatmzZro1auX4v/ZrnkTFxeHR48ewdLSkvdpLtWvXx/37t1TSrt//z7s7OwA8O9UXgUEBKB06dJo1aqVIo33atGS0T0ApH6OvLy8oKuri7179+bqiaVnz57h7du3sLS0VFd1C43M2vVz165dA4BM24jfcf+TXZuuWrUKbdu2RalSpXJcdlG7V+Pj46Glpdw1IZVKIZfLAeTuvivqv8uza1Pgfx3oDx48wPHjx1GiRIkcH+fT2PJrp0qbfi67zzLvU9XbdNWqVahRowbc3d1zfJyidJ9+ysjICJaWlnj37h2OHDmCdu3a8fs0rzS9sunXaMuWLUJPT0+sWbNG3L59WwwZMkQUK1ZMvHz5UtNVKxRiY2PF1atXxdWrVwUA8fvvv4urV68qVgmfM2eOKFasmNizZ4+4ceOGaNeunbC3txcfP37UcM0LruHDhwszMzNx6tQpERERoXjFx8cr8gwbNkzY2tqKkydPipCQEOHh4SE8PDw0WOuC7YcffhCnT58WoaGh4saNG+KHH34QEolEHD16VAjB9lSXhg0bitGjRyves11zZty4ceLUqVMiNDRUBAUFiWbNmomSJUuKyMhIIQTbMzcuXboktLW1xcyZM8WDBw/Exo0bhaGhodiwYYMiD/9O5Y5MJhO2trZi0qRJ6bbxXi0aMrsHoqOjRZ06dUSVKlXEw4cPlWKZlJQURb5KlSqJnTt3CiFS48nx48eL4OBgERoaKo4fPy6qV68uHBwcREJCwhc9L03LrF0fPnwofvnlFxESEiJCQ0PFnj17RPny5YWnp6dSvk/bVQh+xwmR9feVEEI8ePBASCQScejQoQy3815V5uPjI8qWLSv2798vQkNDxc6dO0XJkiXFxIkTFXlUue+aNGkili5dqnhflH+XZ9emSUlJom3btsLa2lpcu3ZN6Xs1MTFRUc7nbZpdbPk1y65NVf0s8z79H1U++0KkxgGGhobC398/w3J4nyo7fPiwOHTokHj8+LE4evSocHd3F3Xq1BFJSUlCCH6f5gU70fPJ0qVLha2trdDV1RW1a9cWFy5c0HSVCo3AwEABIN3Lx8dHCCGEXC4XP/30kyhTpozQ09MTTZs2Fffu3dNspQu4jNoTgAgICFDk+fjxoxgxYoQoXry4MDQ0FB06dBARERGaq3QBN2DAAGFnZyd0dXVFqVKlRNOmTRUd6EKwPdXl8050tmvOdOvWTVhaWgpdXV1RtmxZ0a1bN/Hw4UPFdrZn7uzbt0+4uroKPT094eTkJP766y+l7fw7lTtHjhwRADJsK96rRUNm90BmsSEAERoaqsj3aWwTHx8vvLy8RKlSpYSOjo6ws7MTgwcPLnI/9oTIvF3Dw8OFp6enMDc3F3p6eqJixYpiwoQJIjo6Winf5zEjv+Oy/r4SQojJkycLGxsbIZPJMtzOe1VZTEyMGD16tLC1tRX6+vqifPnyYurUqUqduarcd3Z2dsLPz08praj+Ls+uTUNDQzP9Xg0MDFSU83mbZhdbfs2ya1NVP8u8T/9Hlc++EEKsWLFCGBgYiPfv32dYDu9TZVu3bhXly5cXurq6wsLCQowcOVKp7fh9mnsSIYT4AgPeiYiIiIiIiIiIiIgKHc6JTkRERERERERERESUCXaiExERERERERERERFlgp3oRERERERERERERESZYCc6EREREREREREREVEm2IlORERERERERERERJQJdqITEREREREREREREWWCnehERERERERERERERJlgJzoRERERERERERERUSbYiU5EVID069cP7du313Q18uTEiROoXLkyZDJZnsqRSCTYvXu3yvkPHz6MqlWrQi6X5+m4RERERERZYcz+P4zZiaiokAghhKYrQURUFEgkkiy3+/n5YezYsRBCoFixYl+mUvmgRo0a+P7779GrV688lfPy5UsUL14cenp6Ku9Tq1YtjBo1Cn369MnTsYmIiIioaGLMnjOM2YmoqGAnOhHRF/Ly5UvF/2/duhU///wz7t27p0gzNjaGsbGxJqqmNufOnUPr1q3x8uVL6Ovrf/Hj//nnn1izZg0uX778xY9NRERERIUfY/b8x5idiAojTudCRPSFWFhYKF5mZmaQSCRKacbGxukeDZXL5Zg9ezbs7e1hYGAAd3d37NixQ7H91KlTkEgkOHLkCKpVqwYDAwM0adIEkZGROHToECpXrgxTU1P07NkT8fHxiv0aNWoEX19f+Pr6wszMDCVLlsRPP/2ET/9d9d27d+jbty+KFy8OQ0NDtGjRAg8ePMjyHLds2YLmzZsrBePTpk1D1apVsXr1atja2sLY2BgjRoyATCbDvHnzYGFhgdKlS2PmzJlKZX36aGhYWBgkEgl27tyJxo0bw9DQEO7u7ggODlbap02bNggJCcGjR49Uvi5ERERERGkYszNmJyLKCDvRiYgKsNmzZ2PdunVYvnw5/vvvP4wdOxa9e/fG6dOnlfJNmzYNf/zxB86fP4+nT5+ia9euWLRoETZt2oQDBw7g6NGjWLp0qdI+a9euhba2Ni5duoTFixfj999/x8qVKxXb+/Xrh5CQEOzduxfBwcEQQqBly5ZITk7OtL5nz55FzZo106U/evQIhw4dwuHDh7F582asWrUKrVq1wrNnz3D69GnMnTsXP/74Iy5evJhle0ydOhXjx4/HtWvX4OjoiB49eiAlJUWx3dbWFmXKlMHZs2ezLIeIiIiISF0YsytjzE5EXyNtTVeAiIgylpiYiFmzZuH48ePw8PAAAJQvXx7nzp3DihUr0LBhQ0XeGTNmoH79+gCAgQMHYvLkyXj06BHKly8PAOjcuTMCAwMxadIkxT42NjZYuHAhJBIJKlWqhJs3b2LhwoUYPHgwHjx4gL179yIoKAj16tUDAGzcuBE2NjbYvXs3unTpkmGdnzx5Aisrq3Tpcrkcq1evhomJCZydndG4cWPcu3cPBw8ehJaWFipVqoS5c+ciMDAQderUybRNxo8fj1atWgEApk+fDhcXFzx8+BBOTk6KPFZWVnjy5IlKbUxERERElBeM2dNjzE5EXyOORCciKqAePnyI+Ph4NG/eXDH3orGxMdatW5fu0Uc3NzfF/5cpUwaGhoaKYDwtLTIyUmmfunXrKi2c5OHhgQcPHkAmk+HOnTvQ1tZWCo5LlCiBSpUq4c6dO5nW+ePHjxnOq1iuXDmYmJgo1cfZ2RlaWlpKaZ/X8XOfnqelpSUApNvHwMBA6TFYIiIiIqL8wpg9PcbsRPQ14kh0IqICKi4uDgBw4MABlC1bVmmbnp6e0nsdHR3F/0skEqX3aWlyuTyfavo/JUuWxLt379KlZ1Sf3NTx8/MEkG6fqKgolCpVKkf1JiIiIiLKDcbs6TFmJ6KvETvRiYgKKGdnZ+jp6SE8PFzpMVB1+XwuwwsXLsDBwQFSqRSVK1dGSkoKLl68qHg09O3bt7h37x6cnZ0zLbNatWq4ffu22uuqqoSEBDx69AjVqlXTWB2IiIiIqOhgzJ5zjNmJqDBiJzoRUQFlYmKC8ePHY+zYsZDL5WjQoAGio6MRFBQEU1NT+Pj45Kn88PBwfP/99xg6dCj+/fdfLF26FL/99hsAwMHBAe3atcPgwYOxYsUKmJiY4IcffkDZsmXRrl27TMv89ttvsXbt2jzVKy8uXLgAPT09xXyURERERET5iTF7zjFmJ6LCiJ3oREQF2K+//opSpUph9uzZePz4MYoVK4bq1atjypQpeS67b9+++PjxI2rXrg2pVIrRo0djyJAhiu0BAQEYPXo0WrdujaSkJHh6euLgwYPpHun8VK9evTBx4kTcu3cPlSpVynMdc2rz5s3o1asXDA0Nv/ixiYiIiKhoYsyeM4zZiagwkgghhKYrQUREX1ajRo1QtWpVLFq0SO1lT5gwATExMVixYoXay87KmzdvUKlSJYSEhMDe3v6LHpuIiIiISN0YsxMRFRxa2WchIiJS3dSpU2FnZ/dFFkX6VFhYGJYtW8ZgnIiIiIgoG4zZiYhyhiPRiYiKoPwc1UJERERERHnHmJ2IqOBgJzoRERERERERERERUSY4nQsRERERERERERERUSbYiU5ERERERERERERElAl2ohMRERERERERERERZYKd6EREREREREREREREmWAnOhERERERERERERFRJtiJTkRERERERERERESUCXaiExERERERERERERFlgp3oRERERERERERERESZYCc6EREREREREREREVEm2IlORERERERERERERJQJdqITEREREREREREREWWCnehERERERERERERERJlgJzoRERERERERERERUSbYiU5ERERERERERERElAl2ohMRERERERERERERZYKd6ERE+WDNmjWQSCQICQn5osf19/dHly5dYGtrC4lEgn79+qm8b1hYGCQSSYavLVu2pMt/584deHt7w9jYGObm5ujTpw9ev36dLp9cLse8efNgb28PfX19uLm5YfPmzRnWQdUys/L+/Xvo6+tDIpHgzp07OdqXiIiIiIoOTcTsT58+xfTp01G7dm0UL14cJUuWRKNGjXD8+HGVy8iP+JoxOxFR1rQ1XQEiIlKfuXPnIjY2FrVr10ZERESuyujRowdatmyplObh4aH0/tmzZ/D09ISZmRlmzZqFuLg4LFiwADdv3sSlS5egq6uryDt16lTMmTMHgwcPRq1atbBnzx707NkTEokE3bt3z1WZWdm+fTskEgksLCywceNGzJgxI1ftQERERESkbnv27MHcuXPRvn17+Pj4ICUlBevWrUPz5s2xevVq9O/fP9sy8iO+ZsxORJQNQUREahcQECAAiMuXL3/R44aFhQm5XC6EEMLIyEj4+PiovG9oaKgAIObPn59t3uHDhwsDAwPx5MkTRdqxY8cEALFixQpF2rNnz4SOjo4YOXKkIk0ul4tvvvlGWFtbi5SUlByXmR1PT0/RsWNHMXbsWGFvb6/yfkRERERUtGgiZr9165Z4/fq1UlpCQoJwcnIS1tbW2e6fH/E1Y3YiouxxOhcioq+InZ0dJBJJnsv58OEDkpKSMt3+zz//oHXr1rC1tVWkNWvWDI6Ojti2bZsibc+ePUhOTsaIESMUaRKJBMOHD8ezZ88QHByc4zKzEh4ejrNnz6J79+7o3r07QkNDcf78eZX2JSIiIiLKby4uLihZsqRSmp6eHlq2bIlnz54hNjY2y/3zI75mzE5ElD12ohMRaZBcLsebN29UeiUnJ3+ROk2fPh3GxsbQ19dHrVq1cPToUaXtz58/R2RkJGrWrJlu39q1a+Pq1auK91evXoWRkREqV66cLl/a9pyWmZXNmzfDyMgIrVu3Ru3atVGhQgVs3LhRpX2JiIiIiDLyJWL2ly9fwtDQEIaGhlnmy4/4mjE7EVH22IlORKRB4eHhKFWqlEqvoKCgfK2LlpYWvLy8MH/+fOzduxcLFy5EZGQkWrRogQMHDijypc21bmlpma4MS0tLREVFITExUZG3TJky6UbHp+374sWLHJeZlY0bN6Jdu3YwMDAAAHTr1g3btm1DSkpKtvsSEREREWUkv2P2hw8fYufOnejUqROkUmmWefMjvmbMTkSUPS4sSkSkQRYWFjh27JhKed3d3fO1Lra2tjhy5IhSWp8+feDs7Ixx48ahVatWAICPHz8CSH3s9HP6+vqKPHp6eor/ZpUvp2Vm5saNG7h58yZmz56tSOvRowdmzZqFI0eOKOpPRERERJQT+Rmzx8fHo0uXLjAwMMCcOXOyzZ8f8TVjdiKi7LETnYhIg/T19dGsWTNNVyNT5ubm6N+/P+bMmYNnz57B2tpaMWIko1EmCQkJAKDIY2BgoHI+VcvMzIYNG2BkZITy5cvj4cOHAFLbt1y5cti4cSMDciIiIiLKlfyK2WUyGbp3747bt2/j0KFDsLKyynaf/IivGbMTEWWPnehERBokk8nw+vVrlfKam5tDV1c3n2uUno2NDQAgKioK1tbWisc30x7n/FRERATMzc0Vo08sLS0RGBgIIYTS46Fp+6b9UMhJmRkRQmDz5s348OEDnJ2d022PjIxEXFwcjI2NVTpnIiIiIqI0+RWzDx48GPv378fGjRvRpEkTlfbJj/iaMTsRUfbYiU5EpEFPnz6Fvb29SnkDAwPRqFGj/K1QBh4/fgwAKFWqFACgbNmyKFWqFEJCQtLlvXTpEqpWrap4X7VqVaxcuRJ37txRCpQvXryo2J7TMjNy+vRpPHv2DL/88ku6BZHevXuHIUOGYPfu3ejdu3e250tERERE9Kn8iNknTJiAgIAALFq0CD169FC5LvkRXzNmJyLKHjvRiYg0SFNzokdHRyMiIgKWlpYwMzMDALx+/VrRUZ7m+fPnWL16Ndzc3JQWEOrUqRPWrl2Lp0+fKkaqnzhxAvfv38fYsWMV+dq1a4exY8di2bJl+OOPPwCkjkBZvnw5ypYti3r16uW4zIykPRY6YcIExXyMn5o/fz42btzIgJyIiIiIckzdMfv8+fOxYMECTJkyBaNHj840X0Yxe37E14zZiYiyx050IiINUvf8ivv27cP169cBAMnJybhx4wZmzJgBAGjbti3c3NwAALt27UL//v0REBCAfv36AQAmTpyIR48eoWnTprCyskJYWBhWrFiBDx8+YPHixUrHmTJlCrZv347GjRtj9OjRiIuLw/z581GlShX0799fkc/a2hpjxozB/PnzkZycjFq1amH37t04e/YsNm7cCKlUmuMyP5eYmIh//vkHzZs3zzAYTzv3xYsXIzIyEqVLl855wxIRERFRkaXOmH3Xrl2YOHEiHBwcULlyZWzYsEFpe/PmzVGmTBlF3s9j9vyIrxmzExGpQBARkdoFBAQIAOLy5ctf9Lg+Pj4CQIavgICAdPX7NG3Tpk3C09NTlCpVSmhra4uSJUuKDh06iCtXrmR4rFu3bgkvLy9haGgoihUrJnr16iVevnyZLp9MJhOzZs0SdnZ2QldXV7i4uIgNGzbkqcxP/fPPPwKAWLVqVaZ5Tp06JQCIxYsXZ1kWERERERUdmojZ/fz8Mo3XAYjAwMB09fs0Zhcif+JrxuxERFmTCCHEF+21JyIiIiIiIiIiIiIqJLQ0XQEiIiIiIiIiIiIiooKKnehERERERERERERERJlgJzoRERERERERERERUSbYiU5ERERERERERERElAl2ohMRERERERERERERZYKd6EREREREREREREREmWAnOhHRVywxMVHTVaAC4tSpU5BIJDh16pSmq0JEREREn5DL5UhJSdF0NaiA6NevH8qVK6fpahDRZ9iJTkRZkkgkKr0Ka8fcx48fMXDgQLi6usLMzAzGxsZwd3fH4sWLkZycrJT3xIkTGDBgABwdHWFoaIjy5ctj0KBBiIiIUOlYO3fuRLdu3VC+fHkYGhqiUqVKGDduHN6/f59h/r1796J69erQ19eHra0t/Pz8VA6ujx49CmtraxgZGaFt27YZHkMmkyEgIACNGjWCubk59PT0UK5cOfTv3x8hISEqHaegunz5Mnx9feHi4gIjIyPY2tqia9euuH//frq8ly5dwogRI1CjRg3o6OhAIpHk+rjv379H6dKlIZFIsGPHDqVtcXFx8PPzg7e3N8zNzSGRSLBmzZpcH4uIiIjoU1973P706VNMnz4dtWvXRvHixVGyZEk0atQIx48fzzD/sWPH0KBBAxgaGqJ48eLo3LkzwsLCVDpWv379Mmw7JyendHkfPnyIzp07o3jx4jA0NESDBg0QGBio8nnNmzcPpqamMDU1xaRJkzLMExMTg+nTp8Pd3R3GxsYwMDCAq6srJk2ahBcvXqh8rILo3r17GDt2LOrVqwd9fX1IJJJMr1O5cuUyvC7Dhg3L9jhhYWGZfia2bNmilPfvv/9Gw4YNUaZMGejp6cHe3h79+/dX+f4hoq+TtqYrQEQF2/r165Xer1u3DseOHUuXXrly5S9ZLbX5+PEj/vvvP7Rs2RLlypWDlpYWzp8/j7Fjx+LixYvYtGmTIu+kSZMQFRWFLl26wMHBAY8fP8Yff/yB/fv349q1a7CwsMjyWEOGDIGVlRV69+4NW1tb3Lx5E3/88QcOHjyIf//9FwYGBoq8hw4dQvv27dGoUSMsXboUN2/exIwZMxAZGQl/f/8sjxMXF4cePXooOoYXLlyIKVOmYNmyZUrn3bFjRxw+fBienp6YMmUKzM3NERYWhm3btmHt2rUIDw+HtbV1LltWs+bOnYugoCB06dIFbm5uePnyJf744w9Ur14dFy5cgKurqyLvwYMHsXLlSri5uaF8+fIZdrSr6ueff0Z8fHyG2968eYNffvkFtra2cHd3/+I/YD09PfHx40fo6up+0eMSERHRl/G1x+179uzB3Llz0b59e/j4+CAlJQXr1q1D8+bNsXr1avTv31+Rd//+/WjXrh2qV6+OOXPmICYmBosXL0aDBg1w9epVlCpVKtvj6enpYeXKlUppZmZmSu+fPn0KDw8PSKVSTJgwAUZGRggICICXlxdOnDgBT0/PLI8RFBSE2bNn4/fff4ehoSGmTJmCGjVqoGvXroo8jx8/RrNmzRAeHo4uXbpgyJAh0NXVxY0bN7Bq1Srs2rUrT/GrpgUHB2PJkiVwdnZG5cqVce3atSzzV61aFePGjVNKc3R0VPl4PXr0QMuWLZXSPDw8lN5fvXoV9vb2aNu2LYoXL47Q0FD8/fff2L9/P65fvw4rKyuVj5cbf//9N+Ryeb4eg4hyQRAR5cDIkSNFUfjq8PX1FQBERESEIu306dNCJpMp5Tt9+rQAIKZOnZptmYGBgenS1q5dKwCIv//+Wynd2dlZuLu7i+TkZEXa1KlThUQiEXfu3MnyOJcvXxZVq1ZVvL927ZpwdXVVypN2HRcuXJhu/5SUFDF//nzx9OnTbM+poAoKChKJiYlKaffv3xd6enqiV69eSukvX74U8fHxQoi83d83b94U2tra4pdffhEAxPbt25W2JyQkKO6ny5cvCwAiICAgV8ciIiIiys7XFrffunVLvH79WiktISFBODk5CWtra6V0Z2dnUbFiRaV48Nq1a0JLS0t8//332R7Lx8dHGBkZZZtvxIgRQltbW9y9e1eR9uHDB2FjYyOqV6+e7f7z588XY8aMUbxftGiR8PX1VbxPTk4W7u7uwtDQUJw9ezbd/tHR0WLKlCnZHqcge/v2rYiJiRFCpLYHABEaGpphXjs7O9GqVatcHSc0NFQAEPPnz8/V/iEhIQKAmD17dq72J6LCj9O5EBFlIG0Ouk+nQfH09ISWlvLXpqenJ8zNzXHnzp1sy2zUqFG6tA4dOgCA0v63b9/G7du3MWTIEGhr/++BoREjRkAIkW6akM/Z2triwYMH2L59Ox49eoQlS5bAwcFBsf3Zs2dYsWIFmjdvjjFjxqTbXyqVYvz48TkehZ7ZY69pr4zOP7/Uq1cv3YhrBwcHuLi4pLtWZcqUUXoKILdGjx6NDh064Jtvvslwu56eXrZPK2SlX79+MDY2Rnh4OFq3bg1jY2OULVsWf/75JwDg5s2baNKkCYyMjGBnZ6f0FAWQ8ZzojRo1gqurK27fvo3GjRvD0NAQZcuWxbx583JdTyIiIqL84OLigpIlSyql6enpoWXLlnj27BliY2MBAFFRUbh9+zY6dOigFA+6u7ujcuXK6abuyIpMJkNMTEym28+ePYtq1aqhUqVKijRDQ0O0bdsW//77Lx48eJBl+eXLl8fevXtx4cIFXL9+HRs3blSK2//55x9cv34dU6dORYMGDdLtb2pqipkzZ6p8PmkymxYl7TVt2rQcl5lb5ubmMDExydE+SUlJ+PDhQ66P+eHDByQlJeVon4x+H2ZGIpHA19cX27dvh7OzMwwMDODh4YGbN28CAFasWIGKFStCX18fjRo1SjdNzOdzoqdNRbNgwQL89ddfqFChAvT09FCrVi1cvnw5R+dBRLnH6VyI6IuLiYmBqampUlpycjJ0dHRU2l8ulyMqKkqlvGZmZiqVm5SUhJiYGHz8+BEhISFYsGAB7OzsULFixSz3i4uLQ1xcXLqAXlUvX74EAKX9r169CgCoWbOmUl4rKytYW1srtmemdOnSmDZtGrp37w65XA47OzscPXpUsf3QoUNISUlBnz59clXnzAwdOhTNmjUDkPqPArNmzcKoUaNQq1YtAKmd1VlJTExU/PjJTm7aWwiBV69ewcXFJcf7Zmf79u04f/487ty5k69zJcpkMrRo0QKenp6YN28eNm7cCF9fXxgZGWHq1Kno1asXOnbsiOXLl6Nv377w8PCAvb19lmW+e/cO3t7e6NixI7p27YodO3Zg0qRJqFKlClq0aJFv50JEREQFX0GM2z/38uVLGBoawtDQEEBqTAkgw0EShoaG+O+///Dy5ctsBzfEx8fD1NQU8fHxKF68OHr06IG5c+fC2NhYkScxMRHFixfP8DgAcOXKFaVO8c+1b98e69evV0wn0rhxYwwZMkSxfe/evQCg9rh90aJFiIuLA5C6btOuXbvg7++vODc3N7cs94+Li0NCQkK2x9HR0Uk3BU5enTx5EoaGhpDJZLCzs8PYsWMxevRolfefPn06JkyYAIlEgho1amDmzJnw8vLKMO/bt28hk8kQHh6OX375BQDQtGlTlY5z9uxZ7N27FyNHjgQAzJ49G61bt8bEiROxbNkyjBgxAu/evcO8efMwYMAAnDx5MtsyN23ahNjYWAwdOhQSiQTz5s1Dx44d8fjx41x9dogohzQ9FJ6ICpe8PBZ64cIFYWdnJwCIRo0aidevX4u7d+8KV1dXIZFIRK1atcTjx4+zLSftUTxVXhlNoZKRzZs3K+1Xs2ZNcePGjWz3+/XXXwUAceLECZWO87mBAwcKqVQq7t+/r0hLe4wxPDw8Xf5atWqJunXrqlT2s2fPxKVLl8THjx+V0seOHSsAiKtXr+aqzqoIDAzMcEqTrAQEBKh8XXNj/fr1AoBYtWpVpnlyc3/Hx8cLW1tbMXnyZCGEaueem+lcfHx8BAAxa9YsRdq7d++EgYGBkEgkYsuWLYr0u3fvCgDCz89PkZZWr08/Ew0bNhQAxLp16xRpiYmJwsLCQnTq1EnluhEREVHB87XG7Z968OCB0NfXF3369FGkyWQyUaxYMdG0aVOlvG/evBFGRkYCgAgJCcmy3B9++EFMmjRJbN26VWzevFkRh9WvX19pusU2bdqIYsWKKaYjSePh4SEAiAULFqh0Hrdv3xbXr18XcrlcKb1atWrCzMxMpTJyy8/PTwBIN1VOVtLaI7tXw4YNc1SX7KZzadOmjZg7d67YvXu3WLVqlfjmm28EADFx4sRsy37y5Inw8vIS/v7+Yu/evWLRokXC1tZWaGlpif3792e4j56enuJcSpQoIZYsWaLSeQAQenp6SuexYsUKAUBYWFgo3S+TJ09Od84+Pj7Czs5O8T7tc1SiRAkRFRWlSN+zZ48AIPbt26dSvYgobzgSnYjUpmfPnggPD0dycjIMDAywYsUKxaONQggMGjQIK1asQM2aNTFs2DD4+Pjg2bNnaN++PU6ePIl9+/Zh6NChSqOmM2JhYYFjx46pVCd3d3eV8jVu3BjHjh3D+/fvceLECVy/fj3bRwTPnDmD6dOno2vXrmjSpIlKx/nUpk2bsGrVKkycOFFphMrHjx8BpD6e+jl9ff0sHyn9VNmyZVG2bNl06Wn75/Sxyfz27bffqnxdc+ru3bsYOXIkPDw84OPjo9ay58yZg+TkZEyZMkWt5WZm0KBBiv8vVqwYKlWqhIcPHyotQFWpUiUUK1YMjx8/zrY8Y2Nj9O7dW/FeV1cXtWvXVmlfIiIiKpwKc9yeJj4+Hl26dIGBgQHmzJmjSNfS0sLQoUMxd+5cTJ48GQMGDEBMTAwmTpyomMIjLd7OzOzZs5Xed+/eHY6Ojpg6dSp27NiB7t27AwCGDx+Offv2oVu3bpg5cyaMjIywbNkyhISEqHScNJkt9hoTE1PgYnYAmDhxolL8mJmMRunnRdrI/DT9+/dHixYt8Pvvv+O7777LcjpKW1tbHDlyRCmtT58+cHZ2xrhx49CqVat0+xw6dAgJCQm4c+cONmzYkKMpZJo2bao0JUudOnUAAJ06dVK6pmnpjx8/VsqfkW7duim1ado0kozbib4MdqITkdr4+fkpgu8xY8Zg+PDhisfSnj17BltbW3z77bcAgPXr18PZ2Rlubm749ddfAQADBgzA0qVLkZKSojQX+Of09fUV04aoS5kyZRTTjXTu3BmzZs1C8+bN8eDBgwwf9bx79y46dOgAV1dXrFy5MsfHO3v2LAYOHIhvv/023TyGaY+epj2K+qmEhIQ8z9+d9kiuqlOnfCmWlpawtLRUe7kvX75Eq1atYGZmhh07dkAqlaqt7LCwMMyfPx9//vmn0qO9+UVfXx+lSpVSSjMzM4O1tTUkEkm69Hfv3mVbZkb7Fi9eHDdu3Mh7hYmIiKhAKsxxO5A6xV337t1x+/ZtHDp0CFZWVkrbf/nlF7x58wbz5s1TdLB7eXlh4MCBWL58ea7itrFjx+Knn37C8ePHFZ3oLVq0wNKlS/HDDz+gevXqAICKFSti5syZmDhxYp7jQ1NT0wLZQers7AxnZ2dNVwMSiQRjx47FkSNHcOrUKZU69j9lbm6O/v37Y86cOXj27Fm6TvjGjRsDSL3O7dq1g6urK4yNjeHr65tt2ba2tkrv06a1sbGxyTBdlbj98zLTOtRV2ZeI8o6d6ESkNp8uqAMg3SKcn3bU6evro3Tp0nj79i2EEErbhBBZHkcmk+H169cq1cnc3DzdApOq6Ny5M6ZOnYo9e/Zg6NChStuePn0KLy8vmJmZ4eDBgzkeHXL9+nW0bdsWrq6u2LFjR7ofHmkdyREREemCrIiICNSuXTvH5/MpJycnAKkLUVatWjVPZanTx48fER0drVJeVRfojI6ORosWLfD+/XucPXs23Q+svPr5559RtmxZpQWB0ua5f/36NcLCwmBra5vus5Bbmf0DQGbp2X2W8rovERERFU6FPW4fPHgw9u/fj40bN2b4RKiuri5WrlyJmTNn4v79+yhTpgwcHR3Rs2dPaGlpZbvuUUYMDAxQokSJdHO8+/r6on///rhx4wZ0dXVRtWpVrFq1CgDg6OiY4+N8ysnJCVevXsXTp0/T/S7QpOjoaJVG2evq6sLc3Dxf65LWLqrOvZ/V/lmNZK9QoQKqVaumWJMoO4zbib4+7EQnIrU7efIkVq5cicDAQEWatbU1njx5gsOHD6N27dqYMWMGihUrhpcvX2Ls2LH45ZdfsG/fPpibm2e7KMrTp0+zXSwxTWBgIBo1apTjc0gLCj/v1H379i28vLyQmJiIEydO5Hjk9KNHj+Dt7Y3SpUvj4MGDGY5OSevYDgkJUeowf/HiBZ49e6a02FButGjRAlKpFBs2bFD7IkVp0gI8uVyu8j5bt25F//79VcqrSqCYkJCANm3a4P79+zh+/Hi+jJYJDw/Hw4cPUb58+XTbRowYASB1ZEixYsXUfmwiIiKivCqMcfuECRMQEBCARYsWoUePHlnm/fRpU5lMhlOnTqFOnTq5GiEeGxuLN2/epHsqEACMjIwUi4MCwPHjx2FgYID69evn+DifatOmDTZv3owNGzZg8uTJeSorM7mJ20ePHo21a9dmm69hw4Y4depUbqumkrSR+hldF3Xv//HjxwyfFiaiooGd6ESkViEhIejatStWr16NWrVqKdIlEglWr16Nnj174uHDh6hduzb27NmDDx8+oF27dli8eDFcXFzwzz//ZHsMdc6t+ObNG5QoUSLddBZpU7TUrFlTkfbhwwe0bNkSz58/R2BgoNI85p8LDw9HfHy8YtQ3kDpC2cvLC1paWjhy5EimgZqLiwucnJzw119/YejQoYrA1t/fHxKJBJ07d876pLNhY2ODwYMHY/ny5Vi6dCm+++47pe1yuRwLFy5Et27dshyNkZXSpUsDgMojjwD1zokuk8nQrVs3BAcHY8+ePUo/avLi7t27MDQ0VDxKOWPGDLx580Ypz61bt/DTTz9h4sSJ8PDwgJGRkVqOTURERKROhS1uB4D58+djwYIFmDJlCkaPHq1SuWkWLFiAiIgILF26VCn90aNHAFJHGgOpAzGSk5PTPW3666+/QggBb2/vLI9z/vx57Ny5E8OHD1dM1ZFbnTt3xuzZszFz5kw0atQoXUwbGxuLOXPmpJseMic+jdvT/j87mpgTPSoqCmZmZkqjsZOTkzFnzhzo6uoqpl4BUgdCRUREwNLSUnENXr9+ne731/Pnz7F69Wq4ubkpBkelpKQgNjY2Xd0vXbqEmzdvomfPnmo7JyIqXNiJTkRqc/nyZbRp0wZ//fUXOnbsmG57rVq18ODBAyQkJEBfX1+RfuvWLcTExCjm6s6OOudW3LBhA5YvX4727dujfPnyiI2NxZEjR3Ds2DG0adNG6fHQXr164dKlSxgwYADu3LmDO3fuKLYZGxujffv2ivd9+/bF6dOnlUZMe3t74/Hjx5g4cSLOnTuHc+fOKbaVKVMGzZs3V7yfP38+2rZtCy8vL3Tv3h23bt3CH3/8gUGDBmW68FBO/Pbbb3j06BFGjRqFnTt3onXr1ihevDjCw8Oxfft23L17VzHXI5D6YyonI0kcHR1ha2uLxYsXQ1tbGw0aNICLi0uW+6hzTvRx48Zh7969aNOmDaKiorBhwwal7Z8G/U+ePMH69esBQLEI1IwZMwAAdnZ2SqP1K1eurNQODRo0SHfstFHntWrVUronAOCPP/7A+/fv8eLFCwDAvn378OzZMwDAd999l+cfWkRERESqKIxx+65duzBx4kQ4ODigcuXK6eK75s2bK0adb9iwAf/88w88PT1hbGyM48ePY9u2bRg0aBA6deqktF/Tpk0BQGlqvmrVqqFHjx6KATFHjhzBwYMH4e3tjXbt2in2ffLkCbp27Yq2bdvCwsIC//33H5YvXw43NzfMmjUrz+eso6ODnTt3olmzZvD09ETXrl1Rv3596Ojo4L///sOmTZtQvHhxRSf6qVOn0LhxY/j5+WHatGkqHaNJkybQ0tLCuHHj0K1bN7Rp0wYlS5bMch91zokeHR2t+IeNoKAgAKkxc7FixVCsWDHF1Cl79+7FjBkz0LlzZ9jb2yMqKgqbNm3CrVu3MGvWLKXpHnft2oX+/fsjICAA/fr1A5Da8f/o0SM0bdoUVlZWCAsLw4oVK/DhwwcsXrxYsW9cXBxsbGzQrVs3uLi4wMjICDdv3kRAQADMzMzw008/qeW8iagQEkREOTBy5EiR2VdH6dKlhaWlpWjYsKFo2LChaNu27ReuXc5dvnxZdOnSRdja2go9PT1hZGQkqlevLn7//XeRnJyslNfOzk4AyPBlZ2enlLdhw4bp2imzfQGIhg0bpqvbrl27RNWqVYWenp6wtrYWP/74o0hKSlLbuaekpIiVK1eKb775RpiZmQkdHR1hZ2cn+vfvL65evarIFxsbKwCI7t2756j8K1euiNq1aws9PT0xe/ZstdVbFWntn9nrU4GBgSpfl8yuVUblbd++Pd22rO6h0NDQLMv18fERRkZGGZ6ri4tLhsdq1apVunoFBgZmu6+Pj0+6e5qIiIgKl68tbvfz88syvvs0xrl48aLw9PQUxYsXF/r6+sLd3V0sX75cyOXydOXa2dkpxT3v3r0TvXv3FhUrVhSGhoZCT09PuLi4iFmzZqWLxaOiokS7du2EhYWF0NXVFfb29mLSpEkiJiZGref+7t078fPPP4sqVaoIQ0NDoa+vL1xdXcXkyZNFRESEIt++ffsEALF8+fIclb9hwwZRsWJFoaWlJYKDg9Va9+yEhoaq9BsrJCREtGnTRpQtW1bo6uoKY2Nj0aBBA7Ft27Z0ZQYEBAgAIiAgQJG2adMm4enpKUqVKiW0tbVFyZIlRYcOHcSVK1eU9k1MTBSjR48Wbm5uwtTUVPEbaeDAgdnG62kAiJEjR2Z4nvPnz1dKz+i3w+exeGb7ph3Lz89PpXoRUd5IhOAKBERElLmDBw+idevWuH79OqpUqaLp6hARERERUQYmTpyIzZs34+HDh9DT09N0dYiIvipa2WchIqKiLDAwEN27d2cHOhERERFRARYYGIiffvqJHehERPmAI9GJiIiIiIiIiIiIiDLBkehERERERERERERERJlgJzoRERERERERERERUSbYiU5ERERERERERERElAl2ohMRERERERERERERZYKd6EREavbq1St07twZJUqUgEQiwaJFi3Dq1ClIJBKcOnUqX48tkUgwbdq0fD1GUZKYmKjpKhARERFRPmDM/nUQQiApKUnT1SCiIoCd6ERUJEgkEpVe6giYx44diyNHjmDy5MlYv349vL29834CBdjWrVvRu3dvODg4QCKRoFGjRpnmffDgAbp37w5ra2sYGhrCyckJv/zyC+Lj47M9zr179zB27FjUq1cP+vr6kEgkCAsLyzT/3r17Ub16dejr68PW1hZ+fn5ISUlR6ZyOHj0Ka2trGBkZoW3btnj//n26PDKZDAEBAWjUqBHMzc2hp6eHcuXKoX///ggJCVHpOERERET0P4zZ88+XitmnTZuW4TXT19fPMP+qVatQuXJl6Ovrw8HBAUuXLlX5nDZs2ICSJUvCxMQE/fv3z7AzPSEhAQsXLkSdOnVgZmYGfX19ODo6wtfXF/fv31f5WERE2pquABHRl7B+/Xql9+vWrcOxY8fSpVeuXDnPxzp58iTatWuH8ePHK9IcHR3x8eNH6Orq5rn8gsbf3x9XrlxBrVq18Pbt20zzPX36FLVr14aZmRl8fX1hbm6O4OBg+Pn54cqVK9izZ0+WxwkODsaSJUvg7OyMypUr49q1a5nmPXToENq3b49GjRph6dKluHnzJmbMmIHIyEj4+/tneZy4uDj06NEDI0aMQI0aNbBw4UJMmTIFy5YtU+T5+PEjOnbsiMOHD8PT0xNTpkyBubk5wsLCsG3bNqxduxbh4eGwtrbO8lhERERE9D+M2fPPl4rZPz2esbGx4r1UKk2XZ8WKFRg2bBg6deqE77//HmfPnsWoUaMQHx+PSZMmZVl+WFgYhg8fjmnTpsHOzg7Tp0/HokWLMHHiREWeN2/ewNvbG1euXEHr1q3Rs2dPGBsb4969e9iyZQv++usvjmInItUJIqIiaOTIkSK/vgIlEokYOXJkvpSdHQDCz8/vix4zPDxcyGQyIYQQLi4uomHDhhnmmzlzpgAgbt26pZTet29fAUBERUVleZy3b9+KmJgYIYQQ8+fPFwBEaGhohnmdnZ2Fu7u7SE5OVqRNnTpVSCQScefOnSyPc/nyZVG1alXF+2vXrglXV1elPGn3z8KFC9Ptn5KSIubPny+ePn2a5XGIiIiIKGuM2dXnS8Xsfn5+AoB4/fp1lvni4+NFiRIlRKtWrZTSe/XqJYyMjLI9zvbt20X79u0V73fv3i1at26tlKdVq1ZCS0tL7NixI93+CQkJYty4cVkeg4joU5zOhYhITdasWQOJRAIhBP7880/Fo4sAMpxfsVGjRnB1dcXt27fRuHFjGBoaomzZspg3b55SuUlJSfj5559Ro0YNmJmZwcjICN988w0CAwO/5OllysbGBlpa2f85iYmJAQCUKVNGKd3S0hJaWlrZjvgxNzeHiYlJtse5ffs2bt++jSFDhkBb+38PXI0YMQJCCOzYsSPL/W1tbfHgwQNs374djx49wpIlS+Dg4KDY/uzZM6xYsQLNmzfHmDFj0u0vlUoxfvx4jkInIiIiKoAYs2ctrzF7GiEEYmJiIITIcHtgYCDevn2LESNGKKWPHDkSHz58wIEDB7Isv3z58jhz5gyOHTuGe/fu4a+//lKK2S9evIgDBw5g4MCB6NSpU7r99fT0sGDBApXOhYgI4JzoRERq4+npqXjUtHnz5li/fn26R08/9+7dO3h7e8Pd3R2//fYbnJycMGnSJBw6dEiRJyYmBitXrkSjRo0wd+5cTJs2Da9fv8a3336b5ZQmWXnz5o1KL3UurJk27+LAgQNx7do1PH36FFu3boW/vz9GjRoFIyMjtRzn6tWrAICaNWsqpVtZWcHa2lqxPTOlS5fGtGnT0L17d1SsWBEnTpzAnDlzFNsPHTqElJQU9OnTRy31JSIiIqIvhzF71tQVs5cvXx5mZmYwMTFB79698erVK6XtmcXsNWrUgJaWVrYxe/Xq1dGrVy94eXnByckJz549w+TJkxXb9+7dCwCM2YlIbTgnOhGRmpQvXx7ly5dHnz594OjoiN69e2e7z4sXL7Bu3TpFcDdw4EDY2dlh1apVaNGiBQCgePHiCAsLUxr1MXjwYDg5OWHp0qVYtWpVjutaqlQplfIFBASgX79+OS4/I97e3vj1118xa9YsRVALAFOnTsWMGTPUcgwAiIiIAJA6WuZzlpaWePHiRbZljB8/Hj169MCLFy9QpUoVpYWQ7ty5AwCoUqWKmmpMRERERF8KY/as5TVmL168OHx9feHh4QE9PT2cPXsWf/75Jy5duoSQkBCYmpoCSI3ZpVIpSpcurbS/rq4uSpQooVLMvmTJEowZMwbv37+Hm5ub0lOojNmJSN3YiU5E9Jlp06ZhzZo1CA8Px8mTJ7NcuT6vjI2NlQJ3XV1d1K5dG48fP1akSaVSxUI8crkc79+/h1wuR82aNfHvv//m6rjHjh1TKZ+Li0uuys9MuXLl4OnpiU6dOqFEiRI4cOAAZs2aBQsLC/j6+qrlGB8/fgSQ+ojm5/T19RWPqGanbNmyKFu2bLr0tP1VmVqGiIiIiPIHY/b/KUgx++jRo5Xed+rUCbVr10avXr2wbNky/PDDDwCQ5QKu+vr6ipg+O+XLl88wnTE7EakbO9GJiD7TpUsXjBgxArVr1873Y1lbWyvmYExTvHhx3LhxQylt7dq1+O2333D37l0kJycr0u3t7XN13GbNmuVqv7zYsmULhgwZgvv37yvmC+/YsSPkcjkmTZqEHj16oESJEnk+joGBAQBk+FhrQkKCYntupY2eiY2NzVM5RERERJR7jNnzR37E7D179sS4ceNw/PhxRSe6gYEBkpKSMsyv7pi9WLFieSqLiAjgnOhEROm4uLike6wwv6SNVvncpwvwbNiwAf369UOFChWwatUqHD58GMeOHUOTJk0gl8tzddyXL1+q9FJ1BIgqli1bhmrVqqVbcLNt27aIj4/Pdt5DVaVN45I2rcunIiIiYGVllafynZycAAA3b97MUzlERERElHuM2QtXzG5jY4OoqCjFe0tLS8hkMkRGRirlS0pKwtu3bxmzE1GBw050IqICbseOHShfvjx27tyJPn364Ntvv0WzZs2QkJCQ6zItLS1Vem3dulVt5/Hq1SvIZLJ06WmjdFJSUtRynKpVqwIAQkJClNJfvHiBZ8+eKbbnVosWLSCVSrFhw4Y8lUNEREREXw/G7JkTQiAsLExpjvfMYvaQkBDI5fI8x+xt2rQBAMbsRKQ2nM6FiKiASxv5IoRQPEZ68eJFBAcHw9bWNldlamJ+RUdHRxw9ehT379+Ho6OjIn3z5s3Q0tKCm5ubIi08PBzx8fGKESQ54eLiAicnJ/z1118YOnSoov38/f0hkUjQuXPnPJ2HjY0NBg8ejOXLl2Pp0qX47rvvlLbL5XIsXLgQ3bp1SzeCh4iIiIi+TozZU71+/Trdgqj+/v54/fo1vL29FWlNmjSBubk5/P390bJlS6W8hoaGaNWqVZ7Ow8PDA97e3li5ciVatGiB9u3bK21PSkrClClTsGDBgjwdh4iKDnaiExEVcK1bt8bOnTvRoUMHtGrVCqGhoVi+fDmcnZ0RFxeXqzLVOb/imTNncObMGQCpQfOHDx8wY8YMAICnpyc8PT0BABMmTMChQ4fwzTffwNfXFyVKlMD+/ftx6NAhDBo0SOmRzb59++L06dNKj8hGR0dj6dKlAICgoCAAwB9//IFixYqhWLFiSosczZ8/H23btoWXlxe6d++OW7du4Y8//sCgQYNQuXLlPJ/zb7/9hkePHmHUqFHYuXMnWrdujeLFiyM8PBzbt2/H3bt30b179zwfh4iIiIgKB8bsqezs7NCtWzdUqVIF+vr6OHfuHLZs2YKqVati6NChinwGBgb49ddfMXLkSHTp0gXffvstzp49iw0bNmDmzJkwNzfP8zmvW7cOXl5e6NixI9q0aYOmTZvCyMgIDx48wJYtWxAREcFOdCJSnSAiKoJGjhwpMvsKnD9/vqhQoYLQ1tYWVlZWolatWjkqG4AYOXKkUlpgYKAAIAIDAxVpDRs2FC4uLun29/HxEXZ2dor3crlczJo1S9jZ2Qk9PT1RrVo1sX///nT50o7t5+eXo/rmlZ+fnwCQ4evzuly8eFG0aNFCWFhYCB0dHeHo6ChmzpwpkpOTlfI1bNgw3fUJDQ3N9Dift4MQQuzatUtUrVpV6OnpCWtra/Hjjz+KpKQktZ13SkqKWLlypfjmm2+EmZmZ0NHREXZ2dqJ///7i6tWrajsOERERUVHFmF19vlTMPmjQIOHs7CxMTEyEjo6OqFixopg0aZKIiYnJsF5//fWXqFSpktDV1RUVKlQQCxcuFHK5XG3nHR8fLxYsWCBq1aoljI2Nha6urnBwcBDfffedePjwodqOQ0RfP4kQn/yTIRERERERERERERERKXBhUSIiIiIiIiIiIiKiTHBOdCIiFSQlJSEqKirLPGZmZjAwMPhCNSIiIiIiok8xZiciovzCTnQiIhWcP38ejRs3zjJPQEAA+vXr92UqREREREREShizExFRfuGc6EREKnj37h2uXLmSZR4XFxdYWlp+oRoREREREdGnGLMTEVF+YSc6EREREREREREREVEmuLAoEVE+SkxMRHJysqarQUREREREmWDMTkRE2WEnOhFRPqpUqRIGDx6s6WoQEREREVEmGLMTEVF22IlORKQm//33H3r37o2yZctCT08PVlZWSElJQXx8vKarpiQ+Ph5//vknvLy8YGlpCRMTE1SrVg3+/v6QyWTp8s+cORNt27ZFmTJlIJFIMG3aNJWPdfnyZfj6+sLFxQVGRkawtbVF165dcf/+faV8crkca9asQdu2bWFjYwMjIyO4urpixowZSEhIyPY4zs7OcHd3T5e+a9cuSCQSNGzYMN221atXQyKR4OjRoyqfDxEREREVbl9rzB4REYEhQ4bA3t4eBgYGqFChAr7//nu8ffs222OdOHECAwYMgKOjIwwNDVG+fHkMGjQIERER6fIePXoUAwcOhKurK6RSKcqVK6fS+chkMpiamqJdu3bpti1cuBASiQQ+Pj7ptv3888+QSCTpfj8QEX1p7EQnIlKDnTt3onr16jhx4gT69++PZcuWYeDAgZDL5di7dy/27Nmj6SoqPH78GN999x2EEPj++++xYMEC2NvbY8SIERgwYEC6/D/++CMuX76MatWq5fhYc+fOxT///IOmTZti8eLFGDJkCM6cOYPq1avj1q1binzx8fHo378/Xr9+jWHDhmHRokWoXbs2/Pz80KJFC2S3fEeDBg1w69YtREdHK6UHBQVBW1sbly9fTveIblBQEKRSKTw8PHJ8XkRERERU+HytMXtcXBw8PDywa9cu9O3bF0uXLkXLli3xxx9/oFmzZpDL5Vkea9KkSTh16hQ6dOiAJUuWoHv37ti2bRuqVauGly9fKuXdtGkTNm3aBDMzM1hZWal8PlKpFHXr1sX58+fTbUuL2YOCgjLcVrp0aTg6Oqp8LCKifCGIiChPHj58KAwNDYWTk5OIjIxU2vb69Wvh5OQkjI2NxePHjzVUQ2WvX78Wt27dSpfev39/AUA8ePBAKT00NFSxHwDh5+en8rGCgoJEYmKiUtr9+/eFnp6e6NWrlyItMTFRBAUFpdt/+vTpAoA4duxYlsdZu3atACAOHjyolF63bl3Rs2dPAUAEBwcrbXN0dBTVqlVT+VyIiIiIqPD6mmP2jRs3CgBi//79Snl//vlnAUD8+++/WR7r9OnTQiaTpUsDIKZOnaqU/vz5c5GUlCSEEKJVq1bCzs5O5XNKi+1v376tlG5hYaGI2SMiIhTpycnJwsjISHTo0EHlYxAR5ReORCciyqP58+cjPj4ef/31F0qVKqW0rWTJklixYgXi4uIwf/58DdVQWcmSJeHi4pIuvUOHDgCAO3fuKKWr+ohmRurVqwddXV2lNAcHB7i4uCgdR1dXF/Xq1VO5Tp9r0KABACiNXklISMC///6Ljh07onz58krbXr9+jfv37yv2IyIiIqKv29ccs8fExAAAypQpo5TX0tISAGBgYJDlsTw9PaGlpZUuzdzcPF0cbmVlBR0dHRXPQllGMfvjx4/x8uVL+Pr6Ql9fX2nbtWvX8OHDB8bsRFQgsBOdiCiP9u3bh3LlyuGbb77JcLunpyfKlSuHffv25ek47969w5s3b7J95XY+x7RHNUuWLJmnemZHCIFXr16pdBxV61S+fHlYWVnh3LlzirTLly8jKSkJ9erVQ7169ZQC8rTHSBmQExERERUNX3PMntYJPnr0aFy4cAHPnj3DwYMHMXPmTLRv3x5OTk45Pk5cXBzi4uLU+tugbt260NbWVorZg4KCYGRkhFq1aqFmzZpKMXva/zNmJ6KCgJ3oRER5EB0djRcvXmS4qOWn3Nzc8OzZM8TGxub6WNWqVUOpUqWyfc2bNy/HZSclJWHRokWwt7dHrVq1cl1HVWzcuBHPnz9Ht27dss07b948mJqaokWLFtnmrV+/Pi5duqSY+zwoKAj29vawtLRM14meFrgzICciIiL6+n3tMbuzszP++usv3L59Gx4eHrCxsUGrVq3QtGlTbN++PVfnsWjRIiQlJakUs6vK0NAQ1apVS9eJXrt2bWhra6NevXpK286dOwdDQ0NUr15dbXUgIsotbU1XgIioMEsLsE1MTLLMl7Y9NjY227yZ2bhxIz5+/JhtvvLly+e4bF9fX9y+fRsHDhyAtnb+/Wm4e/cuRo4cCQ8PD/j4+GSZd9asWTh+/DiWLVuGYsWKZVt2gwYNsH37dly5cgV169ZFUFCQYoqY+vXrIzIyEg8ePICDg4Oigz0niyERERERUeFUFGL2smXLonbt2mjZsiXs7Oxw9uxZLFmyBCVLlsSCBQtydJwzZ85g+vTp6Nq1K5o0aZLjemalQYMGWLhwIV6+fAkLCwsEBQWhXbt2AFJj9t9//x3x8fEwNDREUFAQ6tSpk6+/T4iIVMVvIiKiPPg00M5KbGwsJBJJnh6HrF+/fq73zcr8+fPx999/49dff0XLli3z5RhA6qOnrVq1gpmZGXbs2AGpVJpp3q1bt+LHH3/EwIEDMXz4cJXK/3SOxTp16uD8+fOYMWMGAMDV1RWmpqYICgqCjY0Nrly5otZRNURERERUcH3tMXtQUBBat26NCxcuoGbNmgCA9u3bw9TUFNOnT8eAAQPg7Oys0nHu3r2LDh06wNXVFStXrlT7eaR1ogcFBaFp06b477//FKPy69Wrh5SUFFy6dAl2dnaIiIjAoEGD1F4HIqLcYCc6EVEemJmZwcrKCjdu3Mgy340bN2Btba1YZFNbWxvjxo3D9evXERkZifnz56Np06ZZlvH69WvIZLJs62RsbAxjY2OV6r9mzRpMmjQJw4YNw48//qjSPrkRHR2NFi1a4P379zh79myWI8CPHTuGvn37olWrVli+fLnKx3B3d4eJiQnOnTuHli1bIioqSjESXUtLC3Xq1MG5c+dQoUIFJCUlcSoXIiIioiLia4/ZV6xYgTJlyig60NO0bdsW06ZNw/nz51XqRH/69Cm8vLxgZmaGgwcP5no0flbSYvC0qVoAwMPDA0DqPO8ODg44d+4cnj59qpSfiEjTOCc6EVEetWnTBqGhoUrz933q7NmzCAsLQ5cuXRRpMpkMTZs2xeHDh7Fhwwb07dsXQogsj1OrVi1YWlpm+1L1cc09e/Zg0KBB6NixI/7880/VTziHEhIS0KZNG9y/fx/79+/PMoC/ePEiOnTogJo1a2Lbtm05enRTKpUqpnE5d+4cTE1NUaVKFcX2tHnRuUARERERUdHzNcfsr169yrDjPm2toJSUlGyP8/btW3h5eSExMRFHjhyBpaWlSvXLqdKlSys6yoOCguDs7Kw0deOnMbtUKlV0sBMRaRpHohMR5dH48eOxfv16DB06FGfOnEGJEiUU26KiojBs2DCYmprC19dXab/GjRsDgKJT+c2bNyhVqlSmx1Hn/IpnzpxB9+7d4enpiY0bN0JLK+//pvrmzRu8efMGtra2ilElMpkM3bp1Q3BwMPbs2ZNlEHznzh20atUK5cqVw/79+2FgYJDjOjRo0ADHjh1DQEAA6tSpo3Re9erVwy+//II9e/agRIkSqFy5cs5PkoiIiIgKpa85Znd0dMTRo0dx6tQpNGrUSJG+efNmAKmLnaaJiIhAdHQ0KlSoAB0dHQDAhw8f0LJlSzx//hyBgYFwcHDItm550aBBA6xfvx4SiUTx5GiaevXqYeLEiQgPD4ebm1u+jIYnIsoNdqITEeVRxYoVsW7dOvTo0QNVqlTBwIEDYW9vj7CwMKxatQrv3r3Dli1bYG9vr7RfYGAgvLy8cOfOHQDIdu5Fdc2v+OTJE7Rt2xYSiQSdO3fG9u3blba7ubnBzc1N8X79+vV48uQJ4uPjAaQG82lzjffp0wd2dnYAgD/++APTp09HYGCgIngfN24c9u7dizZt2iAqKgobNmxQOlbv3r0BpM4/+e233+Ldu3eYMGECDhw4oJSvQoUKKo1CSRtdHhwcjGnTpiltq1u3LiQSCS5cuIA2bdpAIpFkWx4RERERfR2+5pjd19cXAQEBaNOmDb777jvY2dnh9OnT2Lx5M5o3b446deoo9ps8eTLWrl2L0NBQlCtXDgDQq1cvXLp0CQMGDMCdO3cU5wqkTjvTvn17xfsbN25g7969AICHDx8iOjpa8dvA3d0dbdq0yfbcGjRogICAAFy+fBkjR45U2lavXj1ER0cjOjoa3333neoNRkSU3wQREanFzZs3Rc+ePYWFhYXQ0tISAIS+vr7477//0uWVSqXip59+El5eXqJq1ari+PHjX6yegYGBAkCmLz8/P6X8DRs2zDRvYGCgIp+fn1+6tKz2/fRPUGhoaJb5fHx8VDq3Dx8+CG1tbQFAHD16NN12Nzc3AUDMnTs3J01GRERERF+JrzVmv3v3rujcubOwsbEROjo6ws7OTowfP158+PBBKZ+Pj48AIEJDQxVpdnZ2mR7Hzs5Oaf+AgIA8x+z37t1T7HP//n2lbXK5XBQrVkwAEFu3blW1uYiI8p1EiGwm9CIiolxZt24d+vXrh969e2PdunVK27S1tVWam5CIiIiIiPIPY3YiIlIFp3MhIsonffv2RUREBH744QdYW1tj1qxZmq4SERERERF9gjE7ERGpgiPRiYiIiIiIiIiIiIgykfHSzkRERERERERERERExE50IiIiIiIiIiIiIqLMsBOdiIiIiIiIiIiIiCgT7EQnIiIiIiIiIiIiIsqEtqYrkN/kcjlevHgBExMTSCQSTVeHiIiIiIoIIQRiY2NhZWUFLS2OXckKY3YiIiIi0gRVY/avvhP9xYsXsLGx0XQ1iIiIiKiIevr0KaytrTVdjQKNMTsRERERaVJ2MftX34luYmICILUhTE1NNVyboic5ORlHjx6Fl5cXdHR0NF0dUhGvW+HDa1b48JoVTrxuhY8mr1lMTAxsbGwU8Shl7tOY3cDAgJ8zUgm/k0lVvFcoJ3i/kKp4r3wdVI3Zv/pO9LTHQU1NTdmJrgHJyckwNDSEqakpv1AKEV63wofXrPDhNSuceN0Kn4JwzTg9SfY+jdkNDAw0fs2ocCgIn28qHHivUE7wfiFV8V75umQXs3NyRiIiIiIiIiIiIiKiTLATnYiIiIiIiIiIiIgoE+xEJyIiIiIiIiIiIiLKxFc/J7qmyOQCl0KjEBmbgNIm+qhtbw6pFufDJCIiAgCZTIbk5GRNVyPHkpOToa2tjYSEBMhkMk1Xh1SQn9dMR0cHUqlUrWXSl8WYnYiIKHOFNWb/UvjboHBQV8zOTvR8cPhWBKbvu42I6ARFmqWZPvzaOMPb1VKDNSMiItIsIQRevnyJ9+/fa7oquSKEgIWFBZ4+fcrFIguJ/L5mxYoVg4WFBe+HQogxOxERUcYKe8z+pfC3QeGhjpidnehqdvhWBIZv+Bfis/SX0QkYvuFf+PeuzqCciIiKrLRgvHTp0jA0NCx0waZcLkdcXByMjY2hpcVZ8QqD/LpmQgjEx8cjMjISAGBpyfiuMGHMTkRElLnCHrN/KfxtUPCpM2ZnJ7oayeQC0/fdTheMA4AAIAEwfd9tNHe24GOiRERU5MhkMkUwXqJECU1XJ1fkcjmSkpKgr6/PQLmQyM9rZmBgAACIjIxE6dKlObVLIcGYnYiIKHNfQ8z+pfC3QeGgrpidV1iNLoVGKT0O+jkBICI6AZdCo75cpYiIiAqItPkUDQ0NNVwTIvVJu585X2jhwZidiIgoc4zZ6WukjpidnehqFBmbeTCem3xERERfIz4OSl8T3s+FD2N2IiKi7DHGoa+JOu5ndqKrUWkTfbXmIyIiIiIi9WLMTkREREQ5xU50Naptbw5LM31k9m8bEgCWZvqobW/+JatFREREedSvXz9IJBJIpVKUKlUKlpaWaN68OVavXg25XJ6jstasWYNixYrlT0UBhIWFQSKRZPlas2ZNvh2fqKBjzE5ERPR1SovZJRIJdHR0UKZMGcbspDbsRFcjqZYEfm2cAQDlJRH4Q2cJXCRhAKAI0v3aOHOBIiIiojySyQWCH73FnmvPEfzoLWTyjJYIVC9vb288f/4c169fx4EDB9C4cWOMHj0arVu3RkpKSr4fX1U2NjaIiIhQvMaNGwcXFxeltG7dumm6mkQa82nM/nlUzpidiIhIfTQVs0dERCAsLAyHDh1izE5qw050NfN2tYR/7+oYY3AQraUXcEBvCtbqzEELk0fw71UN3q6Wmq4iERFRoXb4VgQazD2JHn9fwOgt19Dj7wtoMPckDt+KyNfj6unpwcLCAlZWVqhevTqmTJmCPXv24NChQ0qjRH7//XdUqVIFRkZGsLGxwYgRIxAXFwcAOHXqFPr374/o6GjFCJNp06YBAN69e4e+ffuiePHiMDQ0RIsWLfDgwQNFuU+ePEGbNm1QvHhxGBkZwcXFBQcPHkxXT6lUCgsLC8XL2NgY2traSmlpK9QTFVVpMbuFmfKULRZm+vDvXZ0xOxERUR5pOmYvW7ZsvsfsxsbG6Ny5M2P2IoKd6PnA29USrQb/gtfl2kJACw2lN7As+Sd4X/QB7h0CcvgICREREaU6fCsCwzf8i4ho5QX/XkYnYPiGf/M9KP9ckyZN4O7ujp07dyrStLS0sGTJEvz3339Yu3YtTp48iYkTJwIA6tWrh0WLFsHU1FQxwmT8+PEAUh8/DQkJwd69exEcHAwhBFq2bKlYQX7kyJFITEzEmTNncPPmTcydOxfGxsa5rnvr1q3RoEEDuLu748CBA3loBaLCydvVEucmNcHmwXWxuHtVbB5cF+cmNWEHOhERUR4VlZg9KCgIQGpczZj966et6Qp8raSWrijVbz0QFQqcXwJc3Qg8uwRs7g6UdgbqjwFcOwFSXgIiIiJVyOQC0/fdRkYPgQqkTsMwfd9tNHe2+KLTMDg5OeHGjRuK92PGjFH8f7ly5TBjxgwMGzYMy5Ytg66uLszMzCCRSGBhYaHI9+DBA0UgXq9ePQDAxo0bYWNjg927d6NLly4IDw9Hp06dUKVKFQBA+fLl81TvpUuXwt7eHnfu3EHz5s3x7NmzPJVHVBhJtSTwsDUEdEpouipERERfhaIUs8vlcvz1119wdXVlzF4EcCR6fjO3B1ovBMbcTO041zUBIm8Du4YAS6sBl/4Gkj9qupZEREQF3qXQqHSjWT4lAEREJ+BSaNSXqxQAIQQkkv/9ADh+/DiaNm2KsmXLwsTEBH369MHbt28RHx+faRl37tyBtrY26tSpo0grUaIEKlWqhDt37gAARo0ahRkzZqB+/frw8/NT+hGQG/b29gAAiUQCLS2GhFREvbgK/F4ZODMfSIjRdG2IiIgKvaIWs5ubmzNmLyLY+l+KSRmg+XRg7C2gyU+AYUngfThwcDywqApw9jcgIVrTtSQiIiqwImMzD8Zzk09d7ty5owhuw8LC0Lp1a7i5ueGff/7BlStX8OeffwIAkpKS8nScQYMG4fHjx+jTpw9u3ryJmjVrYunSpXkqUwiBMWPGYMKECXkqh6jQ+nc98PEdcHIGsNgNOLMASIzVdK2IiIgKLcbsjNm/VhrtRPf394ebmxtMTU1hamoKDw8PHDp0CEDqDZ02ef/nr+3bt2uy2nljUAzwHJ86Mr3FfMDMBvjwGjjxC7DQFTg+DYiLzHBXTaxqTEREVFCUNtHPPlMO8qnDyZMncfPmTXTq1AkAcOXKFcjlcvz222+oW7cuHB0d8eLFC6V9dHV1IZPJlNIqV66MlJQUXLx4UZH29u1b3Lt3D87Ozoo0GxsbDBs2DDt37sS4cePw999/56n+c+bMgUQiga+vb57KISq0Ws4HOv4NlKj4/53pv/5vgAs704mIiHKsqMXsUVFRjNmLCI1OyG1tbY05c+bAwcEBQgisXbsW7dq1w9WrV+Hk5ISICOWFBv766y/Mnz8fLVq00FCN1UjXEKgzBKjZH7j1D3BuIfD6bup/L/gD1XoD9b4DipcDkLoow/R9t5UeibE004dfG2cufkREREVCbXtzWJrp42V0QoZzLEoAWJjpo7a9eb4cPzExES9fvsT79+/x8OFDHD16FLNnz0br1q3Rt29fAEDFihWRnJyMpUuXok2bNggKCsLy5cuVyilXrhzi4uJw4sQJuLu7w9DQEA4ODmjXrh0GDx6MFStWwMTEBD/88APKli2Ldu3aAUidt7FFixZwdHTEu3fvEBgYiMqVK+f6fHbv3o2tW7fizJkzSo+2EhUpWlLArWvqWkU3dwCn5wJRj1IHuJz/IzUerz0E0Mv9gmBERERFSUGJ2WUyGV69eoXDhw/nW8xuZGSECRMmMGYvIjQ6Er1NmzZo2bIlHBwc4OjoiJkzZ8LY2BgXLlyAVCqFhYWF0mvXrl3o2rVrnla1LXCkOoB7d2B4MNB9E1C2JpCSAFxeCSypBmzvj/NnjxWoVY2JiIg0QaolgV+b1BEen4ePae/92jjn2wJFhw8fRtmyZeHu7o6WLVsiMDAQS5YswZ49eyCVSgEA7u7u+P333zF37ly4urpi48aNmD17tlI59erVw7Bhw9CtWzeUKlUK8+bNAwAEBASgRo0aaN26NTw8PCCEwMGDB6GjowMAkMlkGDlyJCpXrgxvb284Ojpi2bJluT6fPn36QCaToW3btmjUqBE+fuQaLVSEaUkB927AyEtAhxWAeQXgYxRwYnrqNC/nFgGJcZquJRERUYFXEGJ2S0tLlCtXDt7e3vkas9evXx8AsH//fsbsRYBECFEg5gSRyWTYvn07fHx8cPXqVaXHIIDURy1q1qypWAFXVTExMTAzM0N0dDRMTU3VXW31EwIIO5s6Iv3RSUXyeZkz/pK1xim5Oz79Gkr7F7xzk5p80VWNVZWcnIyDBw+iZcuWii8UKvh43QofXrPCpyhes4SEBISGhsLe3h76+rl/fFOTT2fJ5XLExMTA1NSUC/sUEvl9zbK6rwtdHKpBn7aVgYGB5r8fZSnAze3AmXlA1OPUNMMSQP3RQK1BgK6RZupFSori31LKHd4rlBNF/X75GmL2L4W/DQoPdcTsGp3OBQBu3rwJDw8PJCQkwNjYGLt27UrXgQ4Aq1atQuXKlbPtQE9MTERiYqLifUxMDIDUL8Hk5GT1Vj6/WHsA3T2AV7fw7vjvKB56APWkt1FPehv35Nb4W9YKe2T1kQxtxarGwQ8jUSefHoXJi7Q2LzRtTwB43QojXrPCpyhes+TkZAghIJfLIZfLc12Ol3MZNHUqjcthUYiMTURpEz3UKmcOqZYkT+WqIm3sQdp5UMGX39dMLpdDCIHk5GTF6KY0Renz/dWRagNVewBVugA3twGn5wHvQoFjPwNBS/6/M30gO9OJiIgy4e1qiebOFrgUGoXI2ASUNkmdwqUgDgAlUoXGO9ErVaqEa9euITo6Gjt27ICPjw9Onz6t1JH+8eNHbNq0CT/99FO25c2ePRvTp09Pl3706FEYGhqqte5fwhVZFxxLbI4B2ofQQ3oSlbSeYYHWCozX3oaAFG9skjVFLAxx9OxFvL1TIB4qyNCxY8c0XQXKBV63wofXrPApStdMW1sbFhYWiIuLy/Oq9wDgXFIHziVTRwd9iPuyCwDGxnLBwcImv65ZUlISPn78iDNnziAlJUVpW3x8fL4cMy/8/f3h7++PsLAwAICLiwt+/vlnxZpDQ4cOxfHjx/HixQsYGxujXr16mDt3LpycnDItUwgBPz8//P3333j//j3q168Pf39/ODg4fIlTyl9SbaBqT6BKV+DG1tSR6e/CgGM/Aef/vzO95sDU9Y6IiIhIiVRLAo8KJTRdDSK10Hgnuq6uLipWrAgAqFGjBi5fvozFixdjxYoVijw7duxAfHy8YgGArEyePBnff/+94n1MTAxsbGzg5eVVKB+jLREahXUPQjAzpTeWpnRAT+kJ9Nc+DAvJO0zW2Qxf7d3YLGuCqtUnopqri6arm05ycjKOHTuG5s2bF8nHoAorXrfCh9es8CmK1ywhIQFPnz6FsbFxnh4N1SQhBGJjY2FiYsKFfQqJ/L5mCQkJMDAwgKenZ4aPhhY01tbWmDNnDhwcHCCEwNq1a9GuXTtcvXoVLi4uqFGjBnr16gVbW1tERUVh2rRp8PLyQmhoaLqR9mnmzZuHJUuWYO3atbC3t8dPP/2Eb7/9Frdv3y60n/V0pNpAtV6pi5De2AqcmZ/amX70x9T50uv5pk7zomei6ZoSERERUT7QeCf65+RyudJ0LEDqVC5t27ZFqVKlst1fT08Penp66dJ1dHQKZSeFR8XSilWNY2CE5bK2WC1rgXbSIAyWHoCj1nMM0T4Ase8IJKGdgXrfARaumq52OoW1/Ys6XrfCh9es8ClK10wmk0EikUBLS6vQzhmYNh1I2nlQwZff10xLSwsSiSTDz3JB/Gy3adNG6f3MmTPh7++PCxcuwMXFBUOGDFFsK1euHGbMmAF3d3eEhYWhQoUK6coTQmDRokX48ccf0a5dOwDAunXrUKZMGezevRvdu3fP3xP60qQ6QLXegFu31M700/OA90+A49NSO9PrjgDqDAEMimu6pkRERESkRhr99Td58mScOXMGYWFhuHnzJiZPnoxTp06hV69eijwPHz7EmTNnMGjQIA3WVHMyWtU4CTrYLmsE76S56J80AW9L1YZEngLc2AIsrw+s7wA8CkxdpJSIiIiIKAMymQxbtmzBhw8f4OHhkW77hw8fEBAQAHt7e9jY2GRYRmhoKF6+fIlmzZop0szMzFCnTh0EBwfnW901Lq0z/bsrQPvlQAkHIOE9cGoWsLAKcHw68OGNpmtJRERERGqi0ZHokZGR6Nu3LyIiImBmZgY3NzccOXIEzZs3V+RZvXo1rK2t4eXlpcGaapa3qyX8e1dPt6pxGTNDdGszECVcfwSe/5s6L+PtPcCjk6mvMq6po2GqdAa004/OJyIiIqKi5+bNm/Dw8EBCQgKMjY2xa9cupfWIli1bhokTJ+LDhw+oVKkSjh07Bl1d3QzLevnyJQCgTJkySullypRRbMtIYmKi0tOnaVPfJCcnQ1tbW/H/hYJLZ6ByB0ju7oM06HdIIm8D536HuOAPeXUfyOuOBEwsNV3Lr1JRXKSbcof3CuVEUb9fkpOTFQuy58ei7F+T/F7AntRHLpdDCIHk5OR0UxSq+lnXaCf6qlWrss0za9YszJo16wvUpmDLdlXjstWBLmuAqFDgwjLg6gbg1S1gz4jUx0trDQJqDgCMs58Sh4iIiIi+XpUqVcK1a9cQHR2NHTt2wMfHB6dPn1Z0pPfq1QvNmzdHREQEFixYgK5duyIoKEit85vPnj0b06dPT5d+9OhRGBqmLtJZ+BZe1gWsJsLC+BocX+5F8fjHkF5aDlxeifASnnhQuhU+6jEWzw+F714hTeG9QjlRVO8XbW1tWFhYIC4uDklJSZquTqGQXwvYk/okJSXh48ePOHPmDFJSUpS2xcfHq1RGgZsTnTKn0qrG5vZAy/lA4ynAlbXAxRVA7IvUR0vP/pa6GFLdEUAZ56zLISIiIqKvkq6uLipWrAgAqFGjBi5fvozFixdjxYoVAFKnYzEzM4ODgwPq1q2L4sWLY9euXejRo0e6siwsLAAAr169gqXl/0Zbv3r1ClWrVs20DpMnT8b333+veB8TEwMbGxt4eXnBwMCgkC+83BoQU5ESegpa536D9OkF2L85iXJRZxBZrh2u2fWHkaUjatoV/9+AGMqVorhIN+UO7xXKiaJ+vyQkJODp06cwNjb+ehYIzyf5vYA9qU9CQgIMDAzg6emZ7r5OeyIyO+xE/1oZFAcajAE8RqZO8RL8J/DiX+Dq+tRX+cap2yo0BbgwGhEREVGRJZfLlaZW+ZQQAkKITLfb29vDwsICJ06cUHSax8TE4OLFixg+fHimx9TT04OeXvrpBj9doLXQL7xcySv1FRaENwdnoGTkeZR5/A+aPdqJ/XIPDNTvgj7tWsDblVO95FWhv1foi+G9QjlRVO8XmUymWJA9PxZl/5rk9wL2pD5aWlqQSCQZfq5V/ZzzCn/tpDqpc6IPPgkMOAJUbgtItIDHgcDGzsCyupBfDsDFe8+x59pzBD96C5mcC5ISERHlVFhYGCQSCa5du6bpqlAWpk2bluUI6YxIJBLs3r07X+rzpU2ePBlnzpxBWFgYbt68icmTJ+PUqVPo1asXHj9+jNmzZ+PKlSsIDw/H+fPn0aVLFxgYGKBly5aKMpycnLBr1y4AqW0zZswYzJgxA3v37sXNmzfRt29fWFlZoX379ho6y4LlcFx51Ar3RfvEX3BMVh1SiUA76XlsTB4LbO2D82eOarqKRERERQZj9sKhIMbs7EQvKiQSwLYu0G09MOoqUHckoGsCvLkHrQNj4LCpNsJ3TMGovw+hwdyTOHwrQtM1JiIiKnCCg4NRokQJtG7dOt02GxsbREREwNXVVS3HWrNmDYoVK6aWsuh/xo8fjxMnTmi6GhoTGRmJvn37olKlSmjatCkuX76MI0eOoHnz5tDX18fZs2fRsmVLVKxYEd26dYOJiQnOnz+P0qVLK8q4d+8eoqOjFe8nTpyI7777DkOGDEGtWrUQFxeHw4cP8xFwADK5wPR9tyEAXBMVMTh5PFomzsJ+WR3IhQTe0suod7ILxJo2wKOTgOBgFiIiorwKDg6GVCpFq1at0m1Td8y+adMmmJubq6Us+p+CGLNzOpeiqHg5wHsWjpXpjws7FqGf9AhstF7jO+3dGCrdh/3xHvhjYwugVyc+XkpERPSJ1atXY8iQIdiwYQNevHgBKysrxTapVKqYH5oKLmNjYxgbG2u6GhqzatWqTLdZWVnh4MGD2ZYhPuvolUgk+OWXX/DLL7/kuX5fm0uhUYiITlBKuy3KwTd5NCpInmO49j600wqCTtgZIOwMYOEGNBgLOLcDtKQaqjUREVHhtmrVKnz33XdYtWoVY/ZCqiDG7ByJXkTJ5AI/Hw7HKllLNEr6HcOSxuCy3BG6Ehk6Ss9hv95UWP7THvKb/wCyZE1Xl4iISOPi4uKwbds2DBgwAC1btsSaNWuUtn/+aGhGI8l3796ttOjQ9evX0bhxY5iYmMDU1BQ1atRASEgITp06hf79+yM6OhoSiQQSiQTTpk0DACQmJmL8+PEoW7YsjIyMUKdOHZw6dSrLur9//x6DBg1CqVKlYGpqiiZNmuD69esAgNevX8PCwgKzZs1S5D9//jx0dXUVoz/SHqdcsWIFbGxsYGhoiK5duyqNRpbL5fjll19gbW0NPT09VK1aFYcPH07XPjt37kTjxo1haGgId3d3BAcHK9X13Llz+Oabb2BgYAAbGxuMGjUKHz58UGwvV64cZs2ahQEDBsDExAS2trb466+/lMp49uwZevToAXNzc5iYmKBx48a4ePGi0rmkuXz5Mpo3b46SJUvCzMwMDRs2xL///ptlexKpKjI2IdNtj0RZjE8ehoaJC/GoQl9AxxB4eQPY0R9YWgMIWQ0kZ74/ERERpRcXF4etW7di+PDhaNWqVb7H7CNHjmTMroaY3cjICDVr1izQMTs70YuoT0fFyCDFYXltdEmahnaJv2CPrB6ShRTu4i60/hkALKoCnJ4PxL3WcK2JiIg0Z9u2bXBycoKDgwN69eqF1atXpxuRm1O9evWCtbU1Ll++jCtXruCHH36Ajo4O6tWrh0WLFsHU1BQRERGIiIjA+PHjAQC+vr4IDg7Gli1bcOPGDXTp0gXe3t548OBBpsfp0qULIiMjcejQIVy5cgXVq1dH06ZNERUVhVKlSmH16tWYNm0aQkJCEBsbiz59+sDX1xdNmzZVlPHw4UNs27YN+/btw+HDh3H16lWMGDFCsX3x4sX47bffsGDBAty4cQPffvst2rZtm65eU6dOxfjx43Ht2jU4OjqiR48eSElJAQA8evQI3t7e6NSpE27cuIGtW7fi3Llz8PX1VSrjt99+Q82aNRV1GD58OO7duwcg9YdTw4YN8fz5c+zduxdXr17FqFGjFAs/fS42NhY+Pj44d+4cLly4AAcHB7Rs2RKxsbE5uJJEGSttkv2UNi9QEpH1pgFj/wMaTQEMzIF3ocD+salx+LmFQEJ0tuUQERHR/2L2SpUqoXfv3vkes8+ePZsxuxpi9uvXr2PixIkFO2YXX7no6GgBQERHR2u6KgXK7qvPhN2k/Zm+ak5aLxZO7Sc+zrIXws809fVLSSF2DhXi+b8qHycpKUns3r1bJCUl5ePZkLrxuhU+vGaFT1G8Zh8/fhS3b98WHz9+/F+iXC5EYpxmXnJ5jupfr149sXDhQvHu3TuRmJgoSpYsKQIDAxXbQ0NDBQBx9epVIYQQAQEBwszMTKmMXbt2iU/DLxMTE7FmzZoMj5fR/k+ePBFSqVQ8f/5cKb1p06Zi8uTJGZZz9uxZYWpqKhISEpTSK1SoIFasWKF4P2LECOHo6Ch69uwpqlSpopTfz89PSKVS8ezZM0XaoUOHhJaWloiIiBBCCGFlZSVmzpypdIxatWqJESNGCCH+1z4rV65UbP/vv/8EAHHnzh0hhBADBw4UQ4YMSVd/LS0txX1jZ2cnevfurdgul8tF6dKlhb+/vxBCiBUrVggTExPx9u1bIYQQMplMvHv3TshkMsW5uLu7Z9hWaflNTEzEvn37FGkAxK5duzLMn+F9/f8Yh6ru07b6mr4fU2RyUXfWcVEuk5i73KT9ou6s4yJF9sn3UWKcEMH+Qvzm/L84fJa1EEd/FiImQnMnUwB9TfcK5S/eK5QTRf1++Rpi9kWLFgkhhEhOTs7XmF0mk4k///yTMbvIe8z+uYIYs3NO9CIqu1Exr1Eci1I6o26nmaibcA64uBx4fgW4vjn1ZV0bqDM0db5Gqc4XqjUREX11kuOBWVbZ58sPU14AukYqZb137x4uXbqEf/75BwCgra2Nbt26YdWqVWjUqFGuq/D9999j0KBBWL9+PZo1a4YuXbqgQoUKmea/efMmZDIZHB0dldITExNRokSJDPe5fv064uLi0m3/+PEjHj16pHi/YMECuLq6Yvv27bhy5Qr09PSU8tva2qJs2bKK9x4eHpDL5bh37x4MDQ3x4sUL1K9fX2mf+vXrKx5BTePm5qb4f0vL1LVXIiMj4eTkhOvXr+PGjRvYuHGjIo8QAnK5HKGhoahcuXK6MiQSCSwsLBAZGQkAuHbtGqpVq6byAk+vXr3Cjz/+iFOnTiEyMhIymQzx8fEIDw9XaX+irEi1JPBr44zhG/6FBMCn4+DSHhL3a+MMqdb/HhmHrhFQdxhQayBw6x/g3CLg9R0gaBFwYRlQtSdQbxRQIvPvCiIiIrUqZDH7rl27ADBmBxizqxM70Yuo2vbmsDTTx8voBGT0UIsEgIWZPmpVtAS0ugJuXYFnIcDFFcB/u4Bnl1JfR6YCNQcANfsDxqW/9GkQERF9EatWrUJKSgqsra0VaUII6Onp4Y8//oCZmVm6fbS0tNI9OpqcrLzOyLRp09CzZ08cOHAAhw4dgp+fH7Zs2YIOHTpkWI+4uDhIpVJcuXIFUqnyooOZLbwTFxcHS0vLDOdg/HT+x0ePHuHFixeQy+UICwtDlSpVMiwvr3R0/veP72lzTaY9thkXF4ehQ4di1KhR6faztbXNsIy0ctLKMDAwyFF9fHx88PbtWyxevBh2dnbQ09ODh4cHkpKSclQOUWa8XS3h37s6pu+7rbTIqIWZPvzaOMPb1TLjHaU6gHt3oEpX4MGR1Gldnl4ErqwB/l0HVG4LNBgDWFX7IudBRERU0KXF7J8uJJqfMXu7du0yrAdj9vRlpJVTmGN2dqIXUbkaFWNdM/XlNQO4EpC62FHcS+DULODsAsClQ+ro9LI1vuCZEBFRoaZjmDq6RFPHVkFKSgrWrVuH3377Dc2aNUNcXByMjY2hpaWF9u3bY/PmzRg2bFi6/UqVKoXY2Fh8+PABRkapo2fSFjD6lKOjIxwdHTF27Fj06NEDAQEB6NChA3R1dSGTyZTyVqtWDTKZDJGRkfjmm29Uqn/16tXx8uVLaGtro1y5chnmSUpKQu/evdGtWzdUqlQJgwYNws2bN1G69P/+gTw8PBwvXrxQ/Ci5cOECtLS0UKlSJZiamsLKygpBQUFo2LChYp+goCDUrl1bpXqm1fX27duoWLGiyvt8zs3NDStXrkRUVJRKI1uCgoKwbNkytGzZEgDw9OlTvHnzJtfHJ8qIt6slmjtb4FJoFCJjE1DaRB+17c2VY+3MaGkBlVqkvp4Ep3amPzgC3N6d+ir3DeDhCzh4peYlIiJSt0IWs3t5eSlty6+YvV27dtDR0WHMnguFMWZnlFWEpY2KsTBTntrFwkwf/r2rZz4qxqQM0OgHYMwtoONKoGxNQJYE3NgK/N0E+LspcH0LZEkfcTE0ClfeSHAxNAoyed4WciAioq+QRJL6eKYmXhIVOq8A7N+/H+/evcPAgQPh6uoKZ2dnuLq6wtXVFZ06dcKqVasy3K9OnTowNDTElClT8OjRI2zatAlr1qxRbP/48SN8fX1x6tQpPHnyBEFBQbh8+bLi8cdy5cohLi4OJ06cwJs3bxAfHw9HR0f06tULffv2xc6dOxEaGopLly5h9uzZOHDgQIb1aNasGTw8PNC+fXscPXoUYWFhOH/+PKZOnYqQkBAAqQsHRUdHY8mSJZg0aRIcHR0xYMAApXL09fXh4+OD69ev4+zZsxg1ahS6du0KCwsLAMCECRMwd+5cbN26Fffu3cMPP/yAa9euYfTo0Sq1MwBMmjQJ58+fh6+vL65du4YHDx5gz5496RYpykqPHj1gYWGB9u3bIygoCI8fP8bevXsRHBycYX4HBwesX78ed+7cwcWLF9GrV68cj4whUoVUSwKPCiXQrmpZeFQooVoH+ufsPIBe24Dh5wG3boCWNhB2FtjcDVhWJ3WUenJCtsUQERHlSCGM2T995WfMbmtry5hdTTH7P//8U6BjdnaiF3HerpY4N6kJNg+ui8Xdq2Lz4Lo4N6lJ5h3on9LWBdy6AINPAINO/n8grwM8DwF2DUXsLAfcWjcOgQ/foPfqEDSYexKHb0Xk/0kRERGp0apVq9CsWbMMH//s1KkTQkJCcOPGjXTbzM3NsWHDBhw8eBBVqlTB5s2bMW3aNMV2qVSKt2/fom/fvnB0dETXrl3RokULTJ8+HQBQr149DBs2DN26dUOpUqUwb948AEBAQAD69u2LcePGoVKlSmjfvj0uX76s9OjkpyQSCQ4ePAhPT0/0798fjo6O6N69O548eYIyZcrg1KlTWLRoEdavXw9TU1NoaWlh/fr1OHv2LPz9/RXlVKxYER07dkTLli3h5eUFNzc3LFu2TLF91KhR+P777zFu3DhUqVIFhw8fxt69e+Hg4KByW7u5ueH06dO4f/8+vvnmG1SrVg0///yz0iO52dHV1cXRo0dRunRptGzZEu7u7li0aFG6R2nTrFq1Cu/evUP16tXRp08fjBo1Smk0D1GBVMYF6PgXMPpG6vzoeqbAm/vAvtHAIlfg1FzI4t4g+NFb7Ln2HMGP3nJACxERfdU0FbPXqVMHQ4cOZcyex5i9SpUqmDNnToGO2SXi84l/vjIxMTEwMzNDdHQ0TE1NNV2dr19cJO4f+hNGt9ajrOQtAEAuJDgtd8N6mRdOy93xZ++aqnXSk8YkJyfj4MGDaNmyZbo5rKhg4jUrfIriNUtISEBoaCjs7e2hr5/1AtcFlVwuR0xMjCJw/dS9e/fg5OSEBw8e5OnRxoJo2rRp2L17d4aPthZ0WV0zdcjqvmYcqrpP28rAwKDIfT/mWUIMcHU9cMEfiH6amgRd7Ej5BqtkLREqLGGZ3RzshVBR/FtKucN7hXKiqN8vX0PMnhV1xuz5HWfmVGGO2fObOmJ2zV9h+qrIDEvB56EnPBMXYVDSOJyWuUFLItBYeh2rdefjtN4YPN41A7LY15quKhERkdpERUVhx44dMDU1hY2NjaarQ0RFjb4p4DESGHUN1+r8hhtye+gjCb21T+CE7nj8pfMbrGOuYfiGK3wylIiIiizG7JQXXFiU1OpSaBQiohMASHFcXgPH5TVQLiUCPaUn0VV6CtaSNxgh2wD5wm2AS3ug1iDAprbKc1wREREVRAMHDsSVK1fg7+8PPT09TVeHiIoomUSK4dfsEZE0A3UkdzFI+wCaS/+Fl/QKvKRXcE1eAdt3d0Bzpx8g1S56oyuJiKhoY8xOecFOdFKryNj0CxmFCUvMSumF31K6oI00GL2lx1AVj4Gb21JfZaoAtQYCVboAesYaqDUREVHe7Nq1S9NVyFfTpk1TmhuSiAqm/w1okeCiqIyLyZVRIeU5BkoPoZP0LKpqPULVlAVIWLgF0m98gWq9AT0TTVebiIjoi2DMTnnB6VxIrUqbZD5fViJ0sUPWEO2TZuBGi11A1d6Atj7w6iawfwzwe2Xg4EQg8s6XqzARERER0VciowEtj0RZTEkZhHqJS7AopSPeChPof3gGHP4B+N0ZODwZiArVQG2JiIiICg92opNa1bY3h6WZPjKbnEUCwNJMHy61GgPt/wS+vwN8OwswLw8kxgCXVgDL6gKrvgWubwGSP37J6hMRERERFVpZDWh5CzMsSumMeolL8ajODKCkY2r8fWEZsKQasLknEHoWEOIL1piIiIiocGAnOqmVVEsCvzbOAJCuIz3tvV8bZ0i1/v+doXnqIki+V4A+uwCn1oBECjy9AOwaCvzmBBz6AYi8+8XOgYiIiIioMFJlQIu5mSnKfesLjLgI9P4HqNgMgADuHQDWtgaWNwCubgCS049qJyIiIiqq2IlOauftagn/3tVhYaY8EsbCTB/+vavD29Uy/U5aWkCFJkD3jcDY/4AmPwJmtkDCe+CiP7CsDrDaG7i+BbLEeAQ/eos9154j+NFbyOQcLUNERERElKMBLVpaqR3ovf8BRl4Gag4EdAyBV7eAPSOBhS7AyRlA7Msveg5EREREBREXFqV84e1qiebOFgh+GImjZy/C65s68KhY+n8j0LNiagl4TgAafA88CgSuBAD3DgHhwUB4MD5gHO6kNMAmWRM8FNawNNOHXxvnjDvniYiIiIiKkLQBLdP33f7/RUZTWWQVM5dyBFr/DjT9Cfh3HXDpbyD6KXBmPnBuEeDaEagzDChb/cudCBEREVEBwk50yjdSLQnq2Jvj7R2BOvbmqnWgf0pLCjg0S33FROD+EX8Y3dqIspI3GKB9GAO0D+OSvBI2xzbFmA0xWNS7LjvSiYiIiKjISxvQcik0CpGxCShtoo/aqsTjBsWB+qOBuiOBu/uBi8tTB7Lc2Jr6sqkL1B0GOLUBpPwpSUREREUHIx8qFGTGFvB52BCvEmvBU+sGekpPoInWVdTWuofauvfgJ9bi8K7GkJX6EdIylTVdXSIiIiIijZJqSeBRoUQud9YGXNqnvp7/m9qZfmtn6rpFTy8AptZArYFA9b6AUUl1VpuIiIioQOKc6FQoXAqNQkR0AuTQwil5VQxJHof6iUvwW3JnPBMlUUzyAd1l+yH1rwusbAZcWQskxmq62kRE9BWQSCSKl1QqRfHixSGVShVp06ZN03QVMzVt2jQ4OTnByMgIxYsXR7NmzXDx4kXF9rCwMAwcOBD29vYwMDBAhQoV4Ofnh6SkpEzLjIqKwnfffYdKlSrBwMAAtra2GDVqFKKjo5XyhYeHo1WrVjA0NETp0qUxYcIEpKSkZFnf4OBgVK1aFeXKlcOqVavSbQ8MDETLli1RokQJGBoawtnZGePGjcPz589z2DJEpLKy1YGOfwFjbwGeEwHDkkDMM+DEdOB3Z2DXMOD5FU3XkoiIirhPY/aMXgU1Zk9OTsakSZNQpUoVGBkZwcrKCn379sWLFy+U8v37779o3rw5ihUrhhIlSmDIkCGIi4vLsux+/fqlawdvb+88l/vy5Uu0aNECVlZW8PX1hVwuV9r+8OFD9O/fH9bW1tDT04O9vT169OiBkJCQHLRMwcNOdCoUImMT0qW9gjmWyjrCM3ER+iVNwFFZDcglUuDZZWDfKGBBJWD3SCD8AiCyX3xUJhdcsJSIiNKJiIhQvBYuXAgTExM8f/5ckTZ+/HhNVzFTjo6O+OOPP3Dz5k2cO3cO5cqVg5eXF16/fg0AuHv3LuRyOVasWIH//vsPCxcuxPLly/F/7N15XJVl/v/x130O+6qoLIoIAqKguC+0WKm4VGbLTNNi2XybmvzONDVOzeRMaVZ+dWaaaZkprMlxbByrn5aNtohkaVbuiOKGouAKoqKAIIvn3L8/bkERUFAQ0ffz8bgecM65z3Vfh/tGP/eH6/5cv//97+vs8+DBgxw8eJBXX32VzZs3869//YvFixfz6KOPVm3jcDi47bbbKC8v54cffmD27Nn861//YtKkSecd76OPPsoLL7zA3LlzmTZtGvv27at67Z133mHYsGEEBwfz8ccfs3XrVmbMmEFBQQF/+ctfLvEnde1ISkoiPj4ePz8//Pz8SEhI4MsvvwTq/weSc9XnAk2uAr7BMOQP8OstMOZtaN8bHGWw8QP4xxDMd29h55J/sGj9bsXSIiJy2Z0ds7/++uv4+flVe+5KjdlLSkpITU3lhRdeIDU1lU8++YSMjAzuuOOOqm0OHjzIsGHDiIqKYvXq1SxevJgtW7bwyCOPXLD/kSNHVvs5fPDBB5fc7wsvvEC/fv348ssv2b17Nx9++GHVa+vWraNv377s2LGDd955h61bt7JgwQK6du3Kb37zmwb/fK4kKuciLUKgr0edr1mz03uzzNmb+fd2pl9BMmz4NxzNhLQ5VmsTDb3HQs/7wTeoRh+LN+fUWHxJC5aKiAhAcHBw1fd+fn4YhkFwcDA225U/F+GBBx6o9vivf/0rM2fOZNOmTQwdOpSRI0dWS3Z27tyZjIwMkpKSePXVV2vts3v37nz88cdVjyMjI5k6dSpjx47l1KlTuLi4sGTJErZu3cpXX31FUFAQvXr14uWXX+Z3v/sdL774Im5ubrX2XVxcTJ8+fQgMDKR169YUFVl3le3fv59f/epX/OpXv+K1116r2j48PJzBgwdz/Pjxi/0RXXNCQ0OZPn060dHRmKbJ7NmzGTNmDBs2bMA0zao/kMTGxrJnzx6eeOIJDh48yPz588/b78iRI5k1a1bVY3d396b+KNJcXD2g94NW278e1ryLc/PH2A6mEn0wlQDTl48ct/Anr1v5+R03K5YWEZHL4uyY3d/fvypmv9L5+/uTkpJS7bm///3vDBgwgL179xIWFsZnn32Gq6srb731VtU1yIwZM4iPjyczM5OoqKg6+3d3d6/z53Cx/R47dozExER69OhB586dq2Jx0zR55JFHiI6OZsWKFdWul3r16sVTTz1V75/LlejKv/oTAQZEBBDi70FdSyEZWEnv3nFd4Yan4Zfr4KeLodeD4OoFR3fCV5Phr93ggwcg40twWLeUL96cw/g5qdUS6AC5BaWMn5PK4s05TfrZRESk5Xv88ce5/vrriY+P55///Ge111544QViYmJ46KGHKCws5L///S/x8fEMHjyYjRs3nrffJ554Ah8fn/O2+iovL+fdd9/F39+fnj171rldQUEBAQEB9e638j1+fn64uFjzM1auXEmPHj0ICjrzh+sRI0ZQWFjIli1b6uxn0qRJdOvWDX9/fwYNGkRsbCwA8+bNo7y8nN/+9re1vq9Vq1YNGu+1bPTo0dx6661ER0fTpUsXpk6dio+PD6tWrar6A8no0aOJjIxkyJAhTJ06lUWLFl2wFE/lBVpla9269WX6RNKsQvuyuMuL9C/5G3+q+AkHzDa0MYr4X5eFzC8bj+2jB1m7dH697goVERFpak0Vs48fP77RYnawYmvDMKpi3LKyMtzc3KolpT09PQH47rvvztvXsmXLCAwMJCYmhvHjx3P06NGq1y623+eee44nn3wSd3d3UlNTefjhhwFIS0tjy5Yt/OY3v6l1wlFLj9k1E11aBLvNYPLoWMbPScUAzg7DKxPrk0fHYredfmQY0CnBaiOnw5ZPIPXfcGAdZHxuNZ9gnD3vZ+aaSExqJgvM031PWbSVxNjgM32LiEijKy4vrvM1u82Oh4tHvba1GTY8XT0vuK23m/dFjLJuEydOJCIigqNHjxIZGcn999+Pp6cnixcv5tixY6xbt4433niDe+65h/z8fD755BOcTif/+7//y1dffVVnvy+99NIl33r62Wefcd9991FSUkJISAgpKSm0bVv7QoCZmZn87W9/q3MWem2OHDnCyy+/zOOPP171XG5ubrUEOlD1ODc3t86+Hn30Ue677z7Ky8urJWF37tyJn58fISGa0dqYHA4H8+bNo7i4mISEhFq3OfcPJHWpvEBr3bo1Q4YM4ZVXXqFNm4tc1FJaDIfTZMqirRzFj7cdY3jHcTtDbak8ZE/hRvtmhtvXw4pHMbdOx+j/M+h1P3j4N/ewRUTkIilmr92UKVN49tlnG2WMpaWl/O53v+P+++/Hz88PgCFDhjBhwgT+/Oc/89RTT1FcXMxzzz0HWGVs6jJy5EjuvvtuIiIi2LVrF7///e8ZNWoUK1euxG63X3S//fr148CBAxw5cqTaLPedO3cC0LVr10v+OVyJlESXFmNk9xCSxvapUXYl+EJlVzz8oO8jVsvbBhvmWLUbT+Ri+/415gGr3bry0amb+dI5gJOc+UffBHIKSlmTlU9CpC4ERUSais+0umdn3Bp9K58/8HnV48BXAympKKl125s63cSyR5ZVPQ5/I5wjJUdqbGdObtxZkREREQBVMy7M07MuN2zYwLhx4/D19eX5559nwYIF/Pa3v626NbJNmzaUl5fXWd4kMDCQwMDASxrbLbfcQlpaGkeOHOEf//gH9957L6tXr67R74EDBxg5ciQ//vGPeeyxx+rVd2FhIbfddhuxsbGNtliTt7c33t7VL5hM08Qw9MfsxpKenk5CQgKlpaX4+PiwYMGCqln/Z6vtDyS1udAFWm3KysooKyurelxYWAhYi2tVJuwrKiou9iPKZbI6K79aXO7AzhJnf5Y4+xN56gBj7V/xI/u3+B7dCYt/h7n0JZw9foyz76MQ2O2S9195juhckQvRuSINca2fLxUVFZimidPprLFg5Pli9lFRo/js/s+qHl8oZv/64a+rHtcVsztecDR0+ABV4z53/J06dar2nMPhwOl0kpqaykMPPYS3tze///3vWbBgAc888wydO3cGICAggNLS0hoxe2XM365duwvG7OeOpTYVFRX8+Mc/xjRN3nrrrar3dOvWjVmzZvHMM88wceJE7HY7Tz75JEFBQRiGUWff9957b9X3cXFxdO/enejoaL7++muGDh160f2Cdd0TGBhY4+dZ+Vnr83kvJ6fTiWmaVFRU1IhP6/u7riS6tCgju4eQGBvMmqx88opKCfT1YEBEQP1niQd2gxFTYehk2PElh5b/g7a53zHQtp2BbtuZYs5mkSOBjxw3s9GMpHKee20Lm4qIiJzrueee49FHH8XLywuAmJgYFi9eTP/+/UlJScEwDKZPn87QoUNxcXHh0KFDdSbQwSrnMmfOnPPu88SJE+d93dvbm6ioKKKiohg0aBDR0dHMnDmTiRMnVm1z8OBBbrnlFq677jrefffden3WoqIiRo4cia+vLwsWLMDV1bXqteDgYNasWVNt+0OHDlW91lBdunShoKCAnJwczUZvBDExMaSlpVFQUMD8+fMZN24cy5cvr5ZIb8gfSO67776q73v06EF8fDyRkZEsW7aMoUOH1vqeadOmMWXKlBrPL1mypOr359z6oHLlWX/EAGr/Q8kuswNTTo3j1VP3Mj34W24q/Qq/0gPYU/+FPfVfHPWOJrvtEA626o/TVve/g/Whc0XqS+eKNMS1er64uLgQHBzMiRMnKC8vr/f7Tp06VfVHcaB6CYELbGvWUfarWn8NUFpaimmadb7/N7/5TdV6PoWFhXTs2JGFCxcSExPDN998g9PpZNq0aQwYMAAXFxcOHjxIaWkppaW154Z+9rOfMW/evPOOaf/+/ed9vaKigp/+9KdkZ2ezcOFCoPrnv/3227n99tvJy8vDy8sLwzB47bXXCA4OrvfPqW3btrRp04bNmzfTv3//Ruu3UocOHQBrIlFkZGSD3tvUysvLOXnyJN9++22NMoUlJbX/sedcSqJLi2O3GZc+K9zFDWLHsNv9Bsb843N+ZP+We+3LCLMd5gGXr3nA5Wt2ODvwieNGFjhuOO/CpiIiculOTKw7EWy3VU/Q5D2TV+e2NqN67b3sp7IvaVwN8cEHH7B69WpWrlxZ9dxdd93Fl19+SVhYGO3bt+e///0vn3/+OT179sTT05O33377vH02RjmXczmdzmozgA8cOMAtt9xC3759mTVrVr0WTC0sLGTEiBG4u7uzcOFCPDyq/z+ZkJDA1KlTycvLq5qVk5KSgp+fX60zni/kRz/6Ec899xx/+tOfqi0sWun48eMtvsbi5eTm5lZ1N0Tfvn1Zu3Ytb7zxBu+88w5w/j+Q1Efnzp1p27YtmZmZdSbRJ06cyIQJE6oeV17ADh8+HE9PT1JSUkhMTGzwvuXyapOVz/s71513m2I8aX3rH/AMf5VTe7/Htm4mRsYXtCneSZvinfTJ+3844+/H2fthaFP3wmi1qaio0Lki9aJzRRriWj9fSktL2bdvHz4+PjVivMLf1Z1UPbecS+5v6i7hd245l6xfZdW63cWWc/Hw8MAwjKpyKGf74IMPSEtL4/vvv6+q//3AAw/w85//nPj4eNq3b8/ChQv5/PPPGTx4MJ6envz973+vtS/TNCkqKuL//u//qk1QqU1t769UUVHBI488QnZ2NkuXLqVdu3YX7Oef//wnHh4e3HHHHeft+2z79+8nPz+fiIiIGu+5lH4rXX/99cTGxjJjxgweeeSRGtcVzRmzl5aW4unpyeDBg2ue1/X8Y4GS6HJNGxARgOHfgbcK7uItxxgG2bZxr30Zo2xr6GI7wHO2D3nW9f9h+2EBlDwAXW+Ds/6hFxGRxtGQALmptr0Uq1evZtKkSXzzzTdVwTiAYRj84x//qLbt448/zmOPPVav8iSXUs6luLiYqVOncscddxASEsKRI0d46623OHDgAD/+8Y8BK4F+880306lTJ1599VUOHz5c9f7KGeMHDhxg6NChvP/++wwYMIDCwkKGDx9OSUkJc+bMobCwsCrwbNeuHXa7neHDhxMbG8tDDz3En/70J3Jzc3n++ef5xS9+gbu7e4M/S8eOHXnttdf45S9/SWFhIQ8//DDh4eHs37+f999/Hx8fH/7yl79c1M9Jqv9h5UJ/IKmP/fv3c/To0fPeNeDu7l7rueDq6lqVsDj7e7kyJUQFEuLvQW5Baa0TDg2s0osJUYHWnaNRt1itMMcqsbj+XxiF+7Gvfhv76rchYjD0+x+Iuc2a9FJPOlekvnSuSENcq+eLw+HAMAxsNluNJKivh2+9+2mqbeujctznjn/16tW8+OKLfPPNNzXKB7733nvVHj/xxBP8/Oc/P2/MXlmyJCgo6KLvlqyoqODee+8lNTWVzz77DNM0ycuzJg0FBARU3bX697//neuuuw4fHx9SUlJ49tlnmT59OgEBZ9b469q1K9OmTeOuu+7ixIkTTJkyhXvuuYfg4GB27dpVVVZy1KhRVT+b+vTbELNmzWLYsGHcdNNN/OEPf6Br166cOHGCRYsWsWTJEpYvX35R/V4qm82GYRi1/l7X9/dcSXS5pp29YCnYWOmMY6Uzjkn8lNvtq7jb/i39bTtg11KruftB3J3Q8wEIG2QtYCoiIte8n/3sZwCMHTsWsILHyjrptbkc9b3tdjvbt29n9uzZHDlyhDZt2tC/f39WrFhBXFwcYM0Oz8zMJDMzk9DQ0Grvr7yttqKigoyMjKrbHFNTU1m9ejVA1WzmSllZWYSHh2O32/nss88YP348CQkJeHt7M27cOF566aWL/jz/+7//S5cuXXj11Ve56667OHnyJOHh4dx+++3VZjTL+U2cOJFRo0YRFhZGUVERc+fOZdmyZSQnJ9frDyRQ/wu0ESNGNOdHlcvg7FjaoPqd+5X/yk0eHVuz9KJfCNz0LNw4AXamwLp/ws4lkPWt1bwDoc9D0GcctO50mT6NiIhc7a7EmP3AgQNV5Vt69epV7bVvvvmGm2++GYA1a9YwefJkTpw4QdeuXXnnnXd46KGHqm2fkZFBQUEBYF0LbNq0idmzZ3P8+HHat2/P8OHDefnll6tNZKhPvw0xYMAA1q1bx9SpU3nsscc4cuQIISEhXHfddbz++usX3e+VoFmT6ElJSSQlJZGdnQ1YRe4nTZrEqFGjqrZZuXIlf/jDH1i9ejV2u51evXqRnJxcbZaXyKWobcHSIrxY5nMrN41+BkJKYOOHVivYC6nvW611BPS8H3red97g3uE0L76Gu4iIXFEeeeQR7r777hrPp6enN8Nozs/Dw4NPPvnkvNs88sgjPPLII+fdJjw8vFqdyptvvrnOupVn69SpE1988UW9xlpfw4YNY9iwYY3a57UmLy+Phx9+mJycHPz9/YmPjyc5OZnExESWLVt2wT+QwMVdoMnVq7ZYGqwZ6JNHxzKy+3lm5tnsEDPSasfPirNPHIIVf4EVf4WoYdbs9OjhYNccMBERubC6YtwrMWY/N9auy/vvv3/Bbc7ux9PTk+Tk5Ebpt6G6dOnC7NmzG73f5tasUUhoaCjTp08nOjoa0zSZPXs2Y8aMYcOGDcTFxbFy5UpGjhzJxIkT+dvf/oaLiwsbN26sV61OkYa44IKlQ/4AN0+EPd/Dxg9g63/hWBYs+z+rdboBet0PsWPA/cxtSIs359S4oAipzwWFiIiISBOYOXNmna/V9w8kF3OBJle3C8bS9dEqDIY8Dzf9DjK+sGan714GmSlW8+tgzUzv8xD4tW+yzyIiIiJSm4tKou/du5c9e/ZQUlJCu3btiIuLu6iZJqNHj672eOrUqSQlJbFq1Sri4uL49a9/za9+9Suee+65qm1iYmIuZsgiF3TBBUttNoi40Wq3/hm2LYK0udYtp3u+s9oXz0K30dDrARYXRzP+P2k16kPmFpQyfk4qSWP7KJEuIiIi9dJY8bdIU7lgLF3vjlytiSmxY+DoLlj/L6t+euEBa/LK8j9as9L7joPwmy99fyIiIiL1UO8p3dnZ2fzud7+jU6dOREREcNNNNzFq1Cj69euHv78/iYmJzJs3r6qofkM5HA4+/PBDiouLSUhIIC8vj9WrVxMYGMh1111HUFAQN910E999991F9S/SqNy8rTIu4xbCrzfDkBegTRRUlMCmj+D9MfT6eDDPuHxIpHGg2lsrk+pTFm3F4bzwbC8RERG5NjV1/C1yxWsTCcNfhgnb4O73ICwBTAfs+BI+uA/n6/G0ypxPWnqa4moRERFpUvWaif6rX/2K2bNnM2LECF555RUGDBhA+/bt8fT0JD8/n82bN7NixQomTZrElClTmDVrFv3796/XANLT00lISKC0tBQfHx8WLFhAbGwsq1atAuDFF1/k1VdfpVevXrz//vsMHTqUzZs3Ex0dXWt/ZWVllJWVVT2uXAypoqKCioqKeo1JGk/lz/yq/tl7BUHCUzDoVxgH12Ns+hAz/ROCK47wC5eF/MJlIZucEfzXcT0LHQkcpjUmkFNQysrMPAZGXNyKx03pmjhuVxkds5bnWjxmFRUVmKaJ0+lssUm/yjIWlZ9DrnxNfcycTiemaVJRUVG18GalS/n9bsr4W6TFcfWA+B9b7XAGWUuSaLXzY1qfzOMmFsLChaxdFI/rgHH0GjbW2l5ERESkEdUrie7t7c3u3btp06bm7XmBgYEMGTKEIUOGMHnyZBYvXsy+ffvqHcTHxMSQlpZGQUEB8+fPZ9y4cSxfvrzqIufnP/85P/3pTwHo3bs3S5cu5Z///CfTpk2rtb9p06YxZcqUGs8vWbIELy+veo1JGl9KSkpzD+EyGsLGoBvJ3b2Re+wrGGzbRLwti3hbFr93+Q/fO7vzqeN6kp39WbJiNUe3XbmzZq6t43Z10DFrea6lY+bi4kJwcDAnTpygvLy8uYdzSYqKipp7CNJATXXMysvLOXnyJN9++y2nTp2q9lpJSclF99uU8bdIS7b4kB/j0xNx4RaG2dZzn/0bbrSl059NsPo3lG94Cbc+D0LvhyAotrmHKyIiIleJeiXR60pY12bkyJENGoCbmxtRUVEA9O3bl7Vr1/LGG29U1UGPja0e+HTr1o29e/fW2d/EiROZMGFC1ePCwkI6duzI8OHD8fPza9DY5NJVVFSQkpJCYmIirq6uzT2cy6ZNVj5jMz35wjmIAAq5zb6KO+3f09e2k8H2dAbb0zlp/pMTxjBaRz+I2XmIVf/xCnGtHreWTMes5bkWj1lZWRl79+7F29sbT0/P5h7ORTFNk6KiInx9fTGMBiyYJ82mqY/ZyZMn8fT05KabbqpRo7zyjsiL0ZTxt0hL5XCaTFm0FROowIUvnQP50jmQUOMwP7Yv58f2ZbQvz4dVb1sttD/0eRji7gZ3n+YevohIi1KfxcZFWorGOJ/rvbDoyZMnSUlJ4ZZbbsHX17faa4WFhSxbtowRI0Zc8gJHTqeTsrIywsPDad++PRkZGdVe37FjB6NGjarz/e7u7rWOwdXV9ZpJUlyJrrWff0JUICH+HuQWlJKPH/92DOffjuGEGYcYY/ueO+3fE2nLwXPvF7D3C/AMgLi7IP4n0HEAXCGJmWvtuF0NdMxanmvpmNlsNgzDoLS0FG9v7+YezkWpvFPOMAxstnovLSPNqKmPWWlpKYZh4OnpWaOcy6X+bl+u+FukpViTlU9OQWmN5/eb7Xjt1I9449TdDLZt4i9RG2mzfynsX2u1xROh+z3QZxx06HPFxNoiIleiyvilpKSkxU58ETlX5R2ilxKf1zuJ/u6777Jw4ULuuOOOGq/5+fnx5ptvsm/fPn7xi1/Ue+cTJ05k1KhRhIWFUVRUxNy5c1m2bBnJyckYhsGzzz7L5MmT6dmzJ7169WL27Nls376d+fPn13sfIs3BbjOYPDqW8XNSMTizmOheM4i/O+7m7467+M+tblxX8g2kz4fiPFg302qtOkH8vdDjXmjXpTk/hohIo7Lb7bRq1Yq8vDwAvLy8WtxsbqfTSXl5OaWlpUqitxBNdcxM06SkpIS8vDxatWpVI4HeGJoi/hZpyfKKaibQz+bExjJnL77r8whj7nWFjR9A6vtwNBNSZ1stMBZ6PWBNXvEJvEwjFxFpOa6GmP1y0bXBla8xY/Z6J9H/85//8MILL9T5+tNPP81LL73UoCA+Ly+Phx9+mJycHPz9/YmPjyc5OZnExMSqPktLS/n1r39Nfn4+PXv2JCUlhcjIyHrvQ6S5jOweQtLYPkxZtLXajJlgfw8mj47luu4hwHBIfBmylkP6PNi2CI7vgW//bLWQnlYyvcePwDe4Wv8Op8marHzyikoJ9PVgQEQAdpv+YxORK1twsPVvWWVQ3tKYpllVvkMXEy1DUx+zVq1aVZ3Xja0p4m+RlizQt34Lhgb6eoBPG7j+KbjuV7DnByuZvvVTyNsKS56Hr16E6OHQ60Hrq4vbeftU7C0i15KWHrNfLro2aDkaI2avdxJ9586d9OzZs87X4+Pj2blzZ4N2PnPmzAtu89xzz1XVRxdpaUZ2DyExNvj8AbfdBaKGWu22v0LGF1ZCPfMryNlotZQXIGIwdP8RdLudxbtKayTnQ04n50d2D2mGTyoiUj+GYRASEkJgYCAVFRXNPZwGq6io4Ntvv2Xw4MHXTBmelq4pj5mrq2uTzECv1BTxt0hLNiAioKpkYm2VTQ2sCSsDIgLOetKA8OutNuqPsOUTSJtrlXnJ+MJqXm2smem9HoDgHjX6Xbw5R7G3iFxTWnrMfrno2qBlaKyYvd5J9FOnTnH48GHCwsJqff3w4cOcOnXqkgckcrWx2wwSItvUb2M3L2vWeY8fQfFRK8hPnwf7VsPuZbB7Gc5Fv8blVA/6OxJYSh+KsWqU5RaUMn5OKklj+yiYF5Ernt1ub9LkY1Ox2+2cOnUKDw8PBcotREs+Zoq/Raqrq2QiWAl0gMmjY+ueIe7ZCvr9j9UOZ0Daf2Djh3Di0JnFSIPjofdY6PFj8Apg8eYcxs9JrZG0V+wtIteClhqzXy4tOc6Uhqt3wZ64uDi++uqrOl9fsmQJcXFxjTIoEQG828CAx+DRJfCrNBjyAmZgLDazgmH2VN50e4v17k/wluvrjLStwY1yAKYs2orDqVW0RUREWjrF3yI1VZZMDPavXtol2N+jYQntdjGQ+BL8eis8MA9ix4DdDXI3wZe/hVe7YH70ECmfvo8NR423V0bbir1FRESuDfWeif4///M/TJgwgbi4OG6//fZqry1atIipU6fy17/+tdEHKCJAQAQMfoZVHX7KpPfmc7t9JaNtK+lsy+U2+xpus6/hhOnBEmc/FhUlsDYzlkFdNCNGRESkJVP8LVK7ypKJKzPzWLJiNcNvHEhCVODF1Si3u0CX4VYryYf0+ZA2B3I2YmxbyF9YyO/cW/GJ4wbmOwaTaYZWvdUEcgpKWZOVX/87T0VERKRFqncS/fHHH+fbb7/ljjvuoGvXrsTExACwfft2duzYwb333svjjz/eZAMVEcgrKmWnGcprp37Ma/yIOGMPo+0rud2+klDjCHfbv+Nu+3eUz3sHuo+B7vdA+I3WxYGIiIi0KIq/RepmtxkMjAjg6DaTgY21yKdXAAx83Gq5m8lMeZdWmQsINI7zhMtnPOHyGZucESxw3MBCx3UcxR+wYnQRERG5ujUoszZnzhzuuOMO5s6dy44dOzBNk5iYGKZMmcK9997bVGMUkdMCfc++bdVgixnOllPhTD91H32MnYy2r+RW+2qCKo7Dhn9bzbsdxN5pJdQ7DgRbvas4iYiISDNT/C3STIK7c/i6yYzaMpRbbBv4sf1bbralEW/LIt6WxR9c/sNyZ08WOG4g2LNXc49WREREmliDp6fee++9CthFmsmAiABC/D3ILSg9Z3Ejg1SzCxtOdeE9r5/x7X0e2Ld8Alv/C8WHYe0/rObXAeLugri7oUMfMBphxo6IiIg0KcXfIs1jQEQAbf19SCnozxJnfwIo5Hb7Su62f0cv2y6G2jcw1L4B85PZVk31nvdB2HWatCIiInIV0v/uIi2I3WYweXQsAOemvysfv3BHD+ydB8Po1+GZHfDgx9DrQXD3g8IDsPLv8N4QeL0HJP8B9q0Fp/NyfgwRERERkSveubF3Pn687xjBneUvM7Tsz/z91J2c9GqPUVZo3QH6r9vgjZ6w9CU4vKN5By8iIiKNqt5J9DVr1hAXF0dkZCQffvhhU45JRM5jZPcQksb2Idjfo9rzwf4eJI3tw8juZy0oaneF6GFw59vwzE64b65V1sXVGwr2WQn1mcPg9e7w5XOwdxUOh4PVWfmsP2KwOisfh9NERERELj/F3yLNr67Yu8Qvkqj7puP5zBZ45HPo/ZA1aaVgL6z4C7zVH969BVa/A8VHmmn0IiIi0ljqXc5l/PjxvPzyy/Tu3ZsePXpw11134e7u3pRjE5E6jOweQmJsMGuy8skrKiXQ14MBF1pQydUDut5mtYqTkLkUtn4KGYutGeqrk2B1Evm0JvNUf7Y7BjJnp0GQvxeTR8dWT86LiIhIk1P8LXJluGDsHX6D1W79M2R8ARs/gsyv4GCq1ZJ/D1HDIP5e6DIK3Lya9wOJiIhIg9U7iX706FFCQ0MJCgqirKyMkpISBfEizchuM0iIbHNxb3b1hG63W62iFHZ9zYEfPsR3zxLaGcd4xGUJj7gsIc9sRXJxf2bPHQD3P8DIHqGN+yFERESkToq/Ra4c9Yq9XT2tuz673wMn8mDzx7DxQ8hJgx2LrebqbcXg3X8EkbdYd46KiIjIFa/eSfQ//OEPjB07ltatWzNu3Dhat27dlOMSkcvF1QNHl1H8aIE7R8vu5nrbZm6zrybRto5A4zgPuaTwECnkf/x3nNl3Y4u7EzrdAPYGr0ssIiIiDaD4W6QF8wmEQeOtlrcdNn0Em+fD8b3W95s+As8AiLsLevwYOg7UgqQiIiJXsHr/L/3YY4+xdOlS/vnPf/Lee+815ZhE5DJbk5VPTkEp5bjyjbM3z1Q8Qb+yGTxS/ls+OnUzx0wfAijAtn4WvD8GXo2GhU9aJWFOlV+wf4fTZOWuo/w37QArdx1VnXUREZF6aIr4Oykpifj4ePz8/PDz8yMhIYEvv/wSgPz8fJ588kliYmLw9PQkLCyMX/3qVxQUFJy3T9M0mTRpEiEhIXh6ejJs2DB27tzZKOMVuSoEdoVhk+GpTfBoCgx4HLzbwcl8WDcTZo2EN+IhZRLkpoNpKn4WERG5wjRoKmnHjh2bahwi0ozyikprPFeBC8ucvVjm7MUfTv0PCbatvBy9i/C8pVbAn/q+1dz9ocsI6DYaooaCm3e1fhZvzmHKoq3kFJzZR4i/h+qsi4iI1ENjx9+hoaFMnz6d6OhoTNNk9uzZjBkzhg0bNmCaJgcPHuTVV18lNjaWPXv28MQTT3Dw4EHmz59fZ59/+tOfePPNN5k9ezYRERG88MILjBgxgq1bt+Lh4VHn+0SuOYYBHQdYbcQ0yFoO6fNh2yIo2AffvwHfv0GRXxRzi/vzn5IB7DWDAMXPIiIiza1eSfTi4mK8vb0vvOFFbi8izSvQ9/wXuKdwYYUznpzBjxMe7g97voMtn8L2z6D4MKT/P6u5eEDkUKvOY5eRLN5dxvg5qZw7bya3oJTxc1JJGttHFwIiIiK1aKr4e/To0dUeT506laSkJFatWsWjjz7Kxx9/XPVaZGQkU6dOZezYsZw6dQoXl5qXDqZp8vrrr/P8888zZswYAN5//32CgoL49NNPue++++r9GUSuKXYXawJK1FC4/a+wcwmkz8ORkYxvYSY/J5Ofu3/ABmcU/3Vcx+cFgxg/p1Txs4iISDOpVzmXqKgopk+fTk5OTp3bmKZJSkoKo0aN4s0332y0AYpI0xsQEUCIvwdGHa8bWLNfBkQEWAF/55th9Ovwmwz46WJI+CW06gSnSiHjc/h0POafo2j78Y8Za19CEPnV+qtMqk9ZtFW3poqIiNTicsTfDoeDDz/8kOLiYhISEmrdpqCgAD8/v1oT6ABZWVnk5uYybNiwquf8/f0ZOHAgK1eubPCYRK5Jrp4QOwbHj//NCJeZPFPxc7519MBhGvS2ZfKi6/uscv8F/3b9P9Z9+jccJcebe8QiIiLXnHrNRF+2bBm///3vefHFF+nZsyf9+vWjffv2eHh4cOzYMbZu3crKlStxcXFh4sSJ/PznP2/qcYtII7LbDCaPjmX8nFQMqDZzvDKxPnl0LHbbOWl2mx06JVht+CtwaLN1O+q2zzDyttCPdPq5pvOy679Ic0aS7OhPsrMfu832mEBOQSlrsvJJiGxzeT6oiIhIC9GU8Xd6ejoJCQmUlpbi4+PDggULiI2NrbHdkSNHePnll3n88cfr7Cs3NxeAoKCgas8HBQVVvVabsrIyysrKqh4XFhYCUFFRUZWwr6ioqPdnkmtT5TlytZwrq7PyySy0k8lNzHfcRDuOc6t9NWPs39PHlskN9s3ccGozzlffxRk5BGe3MZhdRoG7b3MP/Yp3tZ0r0rR0vkh96Vy5OtT3+NUriR4TE8PHH3/M3r17mTdvHitWrOCHH37g5MmTtG3blt69e/OPf/yDUaNGYbfbL2ngItI8RnYPIWlsnxr1y4PrW3/RMCC4h9Vu+T0p369kzRfvM8K+jj7GTnrZdtHLtovf8SE7nB1IdvYn2dGPvMKeTfzJREREWp6mjL9jYmJIS0ujoKCA+fPnM27cOJYvX14tkV5YWMhtt91GbGwsL774YiN/Opg2bRpTpkyp8fySJUvw8vICICUlpdH3K1enq+VcWX/EAM78Ph+mFbMdI5jtGEFH4xCjbSsZY/+BGPbDzmRsO5NxGK7k+fXgQKsBHPLvzSm7Z/N9gBbgajlX5PLQ+SL1pXOlZSspKanXdoZpmld1LYXCwkL8/f2rbkWVy6uiooIvvviCW2+9FVdX1+YejtSDw2myMjOPJStWM/zGgSREBdacgV4PK3cd5f5/rAKgHccYbl/PCNtaEmxbcTUcVduVebfHvfsd0PU2CEsAu86Ti6HftZZHx6xl0nFreZrzmLWUOHTYsGFERkbyzjvvAFBUVMSIESPw8vLis88+O+/ioLt37yYyMpINGzbQq1evqudvuukmevXqxRtvvFHr+2qbid6xY0eOHDmCp6cnKSkpJCYm6vdMzquiouKqOldWZ+Uz9p/rLrjdJ3f707PwG2zb/otxdGfV86bdHTNqmDVDPXo4uPnUe98Op8m6PcfIKyoj0Nedfp1aX9Q1wJXqajtXpGnpfJH60rlydSgsLKRt27YXjNnrNRNdRK4ddpvBwIgAjm4zGRgRcNHBc2Wd9dyCUg7Tmv84hvEfxzD8KOYW2wZG2tdxs30jnsUHYfUMq3m0gujhEDPKWmTJw79xP5yIiIjU4HQ6qxLahYWFjBgxAnd3dxYuXHjeBDpAREQEwcHBLF26tCqJXlhYyOrVqxk/fnyd73N3d8fd3b3G866urlUXoWd/L3I+V8u5khAVWBU/1zbTzcC6S7Rnv+ux226Aoc9D3lbY8ils+QTjaCZGxufYMj4HFw8rro67C7qMALe6Fx5evDmnxt2oIfW9G7WFuVrOFbk8dL5Ifelcadnqe+zqtbCoiEhDVdZZB6otWFqINwudN/C/FU+z4q7VcN8H0OtB8GoDpcch/f/B/J/CnyLh/Tth9btwfG9zfAQREZGrzsSJE/n222/Jzs4mPT2diRMnsmzZMh588EEKCwsZPnw4xcXFzJw5k8LCQnJzc8nNzcXhOHMXWdeuXVmwYAEAhmHw9NNP88orr7Bw4ULS09N5+OGHad++PXfeeWczfUqRlqmu+Pnsx9XWKTIMCIqDIX+AX66DJ76HG5+BgM5wqhS2LTwTV/+/cVayvbz6LeuLN+cwfk5qtQQ6QG5BKePnpLJ4c92LG4uIiFxLNBNdRJrMheqsD+8eAkRA11vB6YD9ayHjC8j4Eo7sgN3fWO3LZyGohzVDPWYUhPQCmw2H02RNVj55RaUE+now4BJmzouIiFwL8vLyePjhh8nJycHf35/4+HiSk5NJTExk2bJlrF69GoCoqKhq78vKyiI8PByAjIwMCgoKql777W9/S3FxMY8//jjHjx/nhhtuYPHixRecxS4iNV30OkWGAcHdrTbkechNhy0LrHYsC7Z+ajVXL+gyEuLuwhE5jCmLttY6693EStxPWbSVxNhgxdgiInLNUxJdRJrUyO4hJMYGXzjZbbND2CCrJb4ERzJhx5dWQn3vSjiUbrVv/wS+IextN5jX90bx+YloynADrt7bTkVERBrLzJkz63zt5ptvpj7LJZ27jWEYvPTSS7z00kuXPD4RaUD8XBfDgJB4qw2dBDkbzyTUj++BLZ9YzcWLP5TFs9jWn2+cvSim+qKkJpBTUMqarHwSIts0/gcVERFpQZREF5EmZ7cZDQ+820ZB2yfhuiehJB92LrFmqWcuhaIcwoo+4q/Ay+7urHDG85WzD98U9Gb8nFKSxvZRIl1EREREWqyLip9rYxjQvpfVhr0IBzecTqh/ir1gL7fbV3G7fRVlpivfOnuQ7OxPiqMvBZxZlDSvqLSu3kVERK4ZF51ELykpYe/evZSXl1d7Pj4+/pIHJSJSjVcA9LwPet6Ho7yUZ/78N/qcXMUweyohRj4j7WsZaV+L08VgvRnNugX9cbQZjz24u3XhICIichVQ/C0il8QwoEMfqyW+xKY13/DdolmMtK2hsy2XRHsqifZUTrnYWOmMZbFzAEsc/Qj0VWkmERGRBifRDx8+zE9/+lO+/PLLWl8/e9EhEZHGtmZfMQuKYllALC+c+ilxRjaJ9vUMs6XS3ZZNf2MH/R074J3/gF8oRCdClxEQcRO4eTX38EVERBpM8beINDrDIK7/Lfz8a5M/F/yEaGM/I23WxJRY2x5utG/mRvtmXnadhbFsIOTdAV1vh9admnvkIiIizcLW0Dc8/fTTHD9+nNWrV+Pp6cnixYuZPXs20dHRLFy4sCnGKCJSpfrtpAZbzAheP/Ujbi//P64rfZPnK37KUkdvTtk9oHA/rJ8FH9wHfwyHOffA6nfhWPZ59+FwmqzcdZT/ph1g5a6jOJwXrg8rIiLSVBR/i0hTsNsMJo+OBQx2mh1503E3t5ZP46ayvzKt4n42OKOwYWLsWwXJv4c34uGdwfDtq3B4R3MPX0RE5LJq8Ez0r7/+mv/+97/069cPm81Gp06dSExMxM/Pj2nTpnHbbbc1xThFRADOezvpQdoyx5HIHEciH43txUBjC+xMhh1LoGAvZH5ltS+fhbYx0GU4RI+wFjO1uwKweHMOUxZtJafgTLJeC5aKiEhzUvwtIk1lZPcQksb2qRb/7jGDWejzY3qPngwdnbD9c9i2EPZ8by1SmrMRvn4Z2nWFbqOtFhyvMooiInJVa3ASvbi4mMDAQABat27N4cOH6dKlCz169CA1NbXRBygicrYBEQGE+HuQW1BKbfPDDSDY34N+0e3B1sFKlN9qwuHtsCPZWqB07yo4kmG1H/4G7v4QeQubvAby/HetOIJ/tT5zC0oZPydVC5aKiEizUPwtIk1pZPcQEmODWZOVT15RKYG+HgyICMBuO50UH/i41YqPnE6oL4Ldy6z4+vB2+PbP0CoMYm6DrrdC2HVgv+jl10RERK5IDf6fLSYmhoyMDMLDw+nZsyfvvPMO4eHhzJgxg5AQJZdEpGlV3nY6fk4qBlRLpFfOfZk8OvZM0A/WrJjAbla74Wk4eQx2fW3NUM9MgZKjsPVT4vmUNe4Gm8zOfO3ozTfOXmw2wzGxYQBTFm0lMTa4et8iIiJNTPG3iDQ1u80gIbLN+Tfybgt9x1mttMCaoLJtIez8Co7vhdVJVvNoBdHDrYR61DBw970sn0FERKQpNTiJ/tRTT5GTkwPA5MmTGTlyJP/5z39wc3PjX//6V2OPT0SkhtpuOwVrBnq9yq54tobu91jN6YADqexf8ynHN35Gd1s2vYxd9LLtYgLzOWL68a0znuWOeFYUxLMmK//CFxh1cDjNumf4iIiI1EHxt4hccTz8If5eq5WXwO5vYPsXsONLa4JK+v+zmt0NIgZDzK1W8wtRTCwiIi1Sg5PoY8eOrfq+b9++7Nmzh+3btxMWFkbbtm0bdXAiInW54G2n9WWzQ8f+rD/anqfWXkcgx7jFnsYQ2waut22mrVHI3fbvuNv+HU7ToGBRHMSPsmbVdOhX71tVVWtdREQuluJvEbmiuXlB19us5nTAvjWQ8bmVVM/fdWZdos8ncLx1Dz4s7MEnJT3ZYYYChmJiERFpERqURK+oqKBr16589tlndOvWDQAvLy/69OnTJIMTETmfet12Wk+VC5bm0ZqPHLfwkeMWXDlFH2MnN9k3cpNtI3G2PbQ+vhm+3WzVfvTwh863WAn1qKHg177WvhdvzmH8nNQaNdxVa11ERC5E8beItCg2O3RKsFriy3Bkh1VHPeMLzP3raHUsnSdI5wn3uexxBpLi7MtXhf345Zxi/j62v2JiERG5YjUoie7q6kppaemFNxQRaWFqW7C0AhdWm91Yfaobf+Y+4vxKWDiqHFvmV1ZN9dLjsPVTqwEExlnJ9KhhEDYIXNxxOE2mLNpa6yKoJqjWuoiInJfibxFpsQwD2sVAuxgc1/+aO6Z/TPfiVSTa1nGjbTOdbHn8zPYlP3P5kmOmD6s+6YvD+B/sUUNVR11ERK44DS7n8otf/II//vGPvPfee7i4aMVtEbk61GfB0l/ecQO27iHQ+8GqWupVt6ceWA95W6z2w5vg6g2db2KP/yBcCn2BoFr3awI5BaWXVGtdRESuboq/RaSlW5OVz5ZCT7Zg3fHpSSmDbekk2tczxJZKgHGCUc7lMG852Fwh/AboMsJqAZ2be/giIiINT6KvXbuWpUuXsmTJEnr06IG3t3e11z/55JN695WUlERSUhLZ2dkAxMXFMWnSJEaNGgXAzTffzPLly6u95+c//zkzZsxo6LBFRC6oQQuWnq6lTsf+cMtEKMm3ZqdnLrWS6sV5kPEFnfmCFe6Q7QziO2d3Vjh7sNIZRyHV/+3MK7r4WYYOp8nqrHzWHzFok5VPQlSgZrWLiFxFGjP+FhFpDufGuifxINnZn2Rnf+w46GvsING+nvv9N+NTvNdaqHT3N7D4OWgTfTqhPtK629Pu2kyfQkRErmUNTqK3atWKe+65p1F2HhoayvTp04mOjsY0TWbPns2YMWPYsGEDcXFxADz22GO89NJLVe/x8vJqlH2LiNTmohcs9QqAHj+ymtMJh9Ih8ysK07/E81Aq4bZDhNsOMZalOEyDjWYkK5w9WOHoQZoZVVWTvaGqL1hq5/2d67Q4k4jIVaYx428RkeZwvljXgZ01ZjfWnOpG97sHkeB/DHYmw47FsOcHOLoTVu6ElX8Hd3+IGmIl1KMSwfvCd3JqwomIiDSGBifRZ82a1Wg7Hz16dLXHU6dOJSkpiVWrVlUl0b28vAgODm60fYqIXMglL1hqs0FITwjpiff1Exg+/XMiTqRyvW0zg22biLTl0MfIpI8tk6dcFlCMJ16rb4IjQyHyFmgTZdWQvAAtWCoicm1ozPhbRKQ51Lb+0NkMrLs/B0QEgK0NtI2ChF9AaQHs+gZ2JMPOJVByBLYssBoGhPaHLsOtpHpQ9xoxtCaciIhIY7liiio6HA7mzZtHcXExCQkJVc//5z//Yc6cOQQHBzN69GheeOEFzUYXkRbDbjN49o6+jJ9jsNTZFxNozxGut1sJ9ettmwkwTlgzbXYstt7kF2ol0yNvgYiba51howVLRURERKSlqM/6Q5NHx9aMWz38Ie5OqzmdcDD1TNycmw7711jt61fArwNEn06oRwxm8Y4CTTgREZFG0+AkekREBMZ5Zkju3r27Qf2lp6eTkJBAaWkpPj4+LFiwgNjYWAAeeOABOnXqRPv27dm0aRO/+93vyMjIOG/dx7KyMsrKyqoeFxYWAlBRUUFFRUWDxiaXrvJnrp99y6Lj1riGxrTlb/f15JUvtpNbWMZB2jLPcTPf+YzgDyO7MKJNHrasZRhZyzD2rcYo3A8b/g0b/o2JgRkcj9n5ZsyImzBDB4CLB6uz8qvVbT9X5YKlKzPzGBgRcPk+rNSbfs9aJh23lqc5j1lj7bOx428RkebQoPWHamOzQWg/qw15HgoOWLPTdy6xZqsXHoD1s2D9LEwXD/ycsTxs78FyZzzZ5pm+NeFEREQuRoOT6E8//XS1xxUVFWzYsIHFixfz7LPPNngAMTExpKWlUVBQwPz58xk3bhzLly8nNjaWxx9/vGq7Hj16EBISwtChQ9m1axeRkZG19jdt2jSmTJlS4/klS5ZoBnszSklJae4hyEXQcWtcv4uFXYUGhRXg5wqRfsU49m7gi70A0dA6Grv/w7Q5kUG7ws20K9qCf+k+jNyNkLsRfngDh+HKUZ8unLTF0tPowWYzAgf2Ove5ZMVqjm6rbb66XCn0e9Yy6bi1PM1xzEpKShqln8aOv0VEmstFrz9UG/8O0O+nVqs4CdnfWWVfdiRjFOzlOlK5zjUVgGxnEMud8Sx39mSlM5aTeJBTUMqarPxLK+MoIiLXjAYn0Z966qlan3/rrbdYt25dgwfg5uZGVFQUAH379mXt2rW88cYbvPPOOzW2HThwIACZmZl1JtEnTpzIhAkTqh4XFhbSsWNHhg8fjp+fX4PHJ5emoqKClJQUEhMTcXXVKuothY7blaOiKBcj+1trpvruZdiL8wgs2kIiW0h0n0eh6clqZzd+cMbxgzOODLMjZ26KheE3DtRM9CuUfs9aJh23lqc5j1nlHZGXqrHjbxGR5nTJ6w/VxtUTohOtduuf+XrFclYlf8hNtk30t20n3HaIcFsK40ihzHRhjbMry5w9OXnABzoPrtd6RCIicm1rtJroo0aNYuLEiZe88JHT6axWjuVsaWlpAISE1H2bl7u7O+7u7jWed3V11cVuM9LPv2XScbsCBHSEgAehz4NgmnA4A7K+xdy9jKKMZfgZxSTaU0m0W7NsDpt+rHLG8oOzOzu9+5AQ2Q673dbMH0LOR79nLZOOW8vTHMesqffXWPG3iMhVxTDw7NCDdx3FvOsYjTcnSbBt5SbbRm62baSj7TA32jdzo30zfP0fWN8RooZCVCJEDAYPTb4TEZGaGi2JPn/+fAICGjbbceLEiYwaNYqwsDCKioqYO3cuy5YtIzk5mV27djF37lxuvfVW2rRpw6ZNm/j1r3/N4MGDiY+Pb6xhi4i0HIYBgV0hsCvGwMf5IX0/b89dwHW2LVxn20x/WwbtjEJG21cx2r4KyoE3p1sXA51vgvAbwU+LJ4mIXC0uJv5OSkoiKSmJ7OxsAOLi4pg0aRKjRo0C4N1332Xu3LmkpqZSVFTEsWPHaNWq1Xn7fPHFF2uUU4yJiWH79u0NGpuISGMZEBFAiL8HuQWlFOPJV86+fOXsC5h0NnK42baR4W7pDLRtwyjYB+v/ZTWbC4QlnEmqB8U1eJa6w2k2TrkaERG5ojQ4id67d+9qCxuZpklubi6HDx/m7bffblBfeXl5PPzww+Tk5ODv7098fDzJyckkJiayb98+vvrqK15//XWKi4vp2LEj99xzD88//3xDhywiclUa2SMUHvwRUxbFMqNgNG5U0MvIZLhXBne33k1A/kYo2Atpc6wG0DbmTFK90/XgVXfyRRcAIiJXhsaMv0NDQ5k+fTrR0dGYpsns2bMZM2YMGzZsIC4ujpKSEkaOHMnIkSOZOHFivfuNi4vjq6++qnrs4tJoc3VERBrMbjOYPDqW8XNSMbAWE7UYZJntyXK0Z8A9f8Do4g97voedKZD5FeTvguwVVvvqRfANgcihEHkLdL4FvM9fhmbx5pwaC6eG1HfhVBERuaI1OLodM2ZMtSDeZrPRrl07br75Zrp27dqgvmbOnFnnax07dmT58uUNHZ6IyDWlcnGmlZl5LFmxmuE3PkRCVKCV7C4vhr0rYfdyyPoWcjbCkQyrrf0HYEBIPETcBOE3QNgg8PAHdAEgInIlacz4e/To0dUeT506laSkJFatWkVcXFzVIqbLli1rUL8uLi4EBwc36D0iIk1pZPcQksb2qRHTBp8b01bWUgfI3w2ZS62keta3UJRz1oSU07Fz5BAroR42CFzOlJJdvDmH8XNSz0rYW3ILShk/J5WksX0UR4uItGANTqK/+OKLTTAMERG5WHabwcCIAI5uMxl49mxxN2+IGmY1gJJ8a6ZNZVL9SIaVWM/ZCD+8CYYNguPJ8unN/C0BFDu7At5V+9EFgIhI82iq+NvhcDBv3jyKi4tJSEi4pL527txJ+/bt8fDwICEhgWnTphEWFtZIIxURuTg1J5wMPDPhpDYBnWFAZxjwGFSUwt4frKT6rm8gb8uZ2Pm718DFE8Kvh8634Oh8C1MW5tRIoIM1C94ApizaSmJssO7sFBFpoRqcRLfb7eTk5BAYGFjt+aNHjxIYGIjD4Wi0wYmISCPyCoBuo60GUJRrJdOzvrWS6/m7ISeNCNJ4zw2cpsFWsxOrnd1Y5ezGGmdXCvHRBYCIyGXW2PF3eno6CQkJlJaW4uPjw4IFC4iNjb3o8Q0cOJB//etfxMTEkJOTw5QpU7jxxhvZvHkzvr6+tb6nrKyMsrKyqseFhYUAVFRUVJWCqaiouOgxybWh8hzRuSIX0ifUl6NtTfqE+uJ0nMJZr3827RB2o9WGvAhFuRjZ32LLWoaxexlGcZ5VAibzK+zAp2YrvnPtwQpHD753ducwrap6MoGcglJWZuYxMKJha1nI5ad/W6S+dK5cHep7/BqcRDfN2v62agXCbm5uDe1ORESai28wxN9rNYDCg+xcs5i1yxYy0LadSFsO3Y1sutuyeZQvcZoG280wVhd3JXP5IWIGjjxvTfW6qNa6iEjDNHb8HRMTQ1paGgUFBcyfP59x48axfPnyi06kVy5KChAfH8/AgQPp1KkT/+///T8effTRWt8zbdq0GouRAixZsgQvLy8AUlJSLmo8cu3RuSL1dennig+43A7Rt+Fbup/Aos20K9xM6xMZBHGce+wruMe+AoBtzjC+dfbgO2cP1ji7UoYbS1as5ui22v9NlyuP/m2R+tK50rKVlJTUa7t6J9HffPNNAAzD4L333sPHx6fqNYfDwbffftvgmowiInIF8WvP1rYj+P2pIADacYxBtm0MtG1jkG0bUbaDxBp7iLXtgeXJsBwIjLNuY+10vVVX3bvteXehWusiIvXXVPG3m5sbUVFRAPTt25e1a9fyxhtv8M477zTKuFu1akWXLl3IzMysc5uJEycyYcKEqseFhYV07NiR4cOH4+npSUpKComJibi6ujbKmOTqVFFRoXNF6qWpz5U1mTm89e8PuNGWzo22dLrbsulm20s3215+zueUma6sccYQ2mYkHXuNwAyOB5u9UfbtcJqs23OMvKIyAn3d6deptSaoXCL92yL1pXPl6lB5R+SF1DuJ/tprrwHWTJgZM2Zgt5/5B9/NzY3w8HBmzJjRwGGKiMiVJNDXo+r7w7RmkfM6FjmvA6AtBQw8nVT/UZs9eBXssGpD5m2BNe9ab2rX1UqmdzqdWPcNqupPiy2JiDTM5Yq/nU5ntdIql+rEiRPs2rWLhx56qM5t3N3dcXd3r/G8q6tr1UXo2d+LnI/OFamvpjpXBsV05Bnffqws6M4fuZ82FHC9bQs32NK50Z5OiJHPjfbNkLYZ0l4FD38IvxEiBkPETdAuBoyGJ741QaVp6d8WqS+dKy1bfY9dvZPoWVlZANxyyy188skntG7d+uJGJiIiV6wBEQGE+HuQW1BaI9l9BH++cA4i1fdmHnxqCJw8atVSz/4Osr+3kumHt1tt7XvWmwI6Q1gCzo6DmLnYwKQ11tJKZ2ixJRGR2jVF/D1x4kRGjRpFWFgYRUVFzJ07l2XLlpGcnAxAbm4uubm5VbPI09PT8fX1JSwsjIAAq4TX0KFDueuuu/jlL38JwDPPPMPo0aPp1KkTBw8eZPLkydjtdu6///5LHq+ISEtgtxlMHh3L+DmpGMBR/FnovI6FzuswTplEGgf524BjdCtNs2Ln0gLY/pnVAHyCziTUIwZD604X3KcmqIiIXF4Nron+zTffNMU4RETkCnDuBcDZQXllanvy6Fgr0e3dFmLHWA2g+Cjs/cFKqGd/B4c2W4uV5u/GlvYf5gGH3f1Z64xhnTOGNc4YtpmdcGCvWmxpTVY+CZFtLutnFhG50jVm/J2Xl8fDDz9MTk4O/v7+xMfHk5ycTGJiIgAzZsyoVqt88ODBAMyaNYtHHnkEgF27dnHkyJGqbfbv38/999/P0aNHadeuHTfccAOrVq2iXbt2jTZuEZEr3cjuISSN7VNjZniwvyfPjB5Nt8qEtuMU5GyErGWQ9S3sXQUnDkH6PKsBtA6vnlT3qb6wtMNpMmXR1hoJdNAEFRGRptLgJDpYgfLChQvZu3cv5eXl1V7761//2igDExGR5lH3BcAFbg31bgPdRlsN4ORx2L8W9vzAkW3L8T2yiXZGAbfa13CrfQ0AJ0wPUp3RVmLdjOHosRjg4pLoWrBURK5mjRV/z5w587yvv/jii7z44ovn3SY7O7va4w8//LDe+xcRuZqN7B5CYmzw+WNSuwuE9rXajb+BilIrZs5abiXV96+DY9lWS33fek9g7JmEevj1rDlwqlqcfi5NUBERaXwNTqIvXbqUO+64g86dO7N9+3a6d+9OdnY2pmnSp0+fphijiIhcZvW6ALgQz1YQnQjRieyMOMoj//iWHsZu+tt20N+2nX62HfgZJQy2pzPYng6A8/M/woZe0CkBwk43r4AL7kr1IEXkaqb4W0Sk5bDbjIYlrl09IOJGqwGUFcGelaeT6sshNx3ytlptdRIYNrq2iuM5l3BWObux1hlDMZ61dp1XVHeiXUREGqbBSfSJEyfyzDPPMGXKFHx9ffn4448JDAzkwQcfZOTIkU0xRhERaQYNvgA4jwERAQT4+7G+oCvrHF1JctyBgZMYYz/9bdvpb8tgkD2DQDMfDqyz2g9/s97criuEDYKw66yvrcKqLbykepAicrVT/C0icg1x94Uuw60GVsnE7BVnZqofzaT1sXSecEnnCRZxyrSx2YxglbMbq5zdWOeM4QReAAT6ejT68HT3p4hcqxqcRN+2bRsffPCB9WYXF06ePImPjw8vvfQSY8aMYfz48Y0+SBERadlqq7VuYmO7GUaGI4w5juEk3dubkaEVsHcl7PnBqg95JOPMYqXr/2V15hsCof2h40AcoQP4v4X5qgcpIlc1xd8iItcw7zYQd6fVAAoO4Ny9nM8XzafHqc2E2w7Ry9hFL9sunuAzHKbBZjOCza49GFBhh9IE8PBvlKHo7k8RuZY1OInu7e1dVYcxJCSEXbt2ERcXB1BtgSEREZGz1bvWeutO0PM+6/viI7Bv9emk+kprEaaiHNi2ELYtxA6kmK5scotgvbMLqc5oUp1dOIJ1odAY9SA120ZEmpvibxERqeLfAVvvB3B1vYVb5qQSwlEG2LYxyLaVQbZthNsO0dPYTU/Hbvjwv2DYIKQndLoewm+0yiZeRFJdd3+KyLWuwUn0QYMG8d1339GtWzduvfVWfvOb35Cens4nn3zCoEGDmmKMIiJylWhwrXXvttD1NqsBlJfAwQ1WYn3fGsqyV+Fefoz+xg7623ZUvS3bGcR6M5oNzmjWO7uQV9iDi1mwVLNtRORKoPhbRETOdfYElU8L2vCp8wYA4v1O8HKvAnqeSofs7yB/txU/H9wAK/9uJdWD4yH8BquFDQLP1ufdl8NpMmXRVt39KSLXtAYn0f/6179y4sQJAKZMmcKJEyf46KOPiI6O5q9//WujD1BERK4ul1Rr3c0Lwq+3GpCaeYSJMz+lr7GTvrYd9LHtpIuxn3DbIcI5xD327wA49cVUSO8HHQdCxwHQoZ+18Ol5aLaNiFwpFH+LiEht6jVBpfAgZH9v1VXP/g7yd0FOmtVW/h0wIDDWmqEelgCdrgO/9tX2syYrv9qkknM1xt2fIiJXugYl0R0OB/v37yc+Ph6wbi2dMWNGkwxMRETkQgZ0bkOZXwSfFITwsXMwAH4U08uWSV/bTvoaO+ht34V3xQnYvcxqABjWgqUdB5xJrAdEgs0GaLaNiFw5FH+LiMj5XHCCil97iP+x1QAKc2DPWUn1o5mQt8Vqa9+ztmnVyUqmhw2CsOvIK/Sq11jyiupOtIuItHQNSqLb7XaGDx/Otm3baNWqVRMNSUREpH5qW7C0EG++dfZkhbMnAEn39mRku+NVJWDYtxqOZcHhbVZLnW115uEPHfpCaH922LtwsuAU4FvrfjXbRkQuF8XfIiLSqPxCoMePrAZwIs9ae2jPStj7A+Smw/E9VttoLWp9q3sb3F07s9YZwxpnV7aanXBgr9F1oK/H5fwkIiKXVYPLuXTv3p3du3cTERHRFOMRERFpkPotWBoKwd2h/6PWiyfyrIT6/jWwd7V1O2tpAez6GnZ9TTcgzcOqrb7BjCLNGUWaM5KtZjgVZ/3XebGzbRxOk9VZ+aw/YtAmK5+EqEDNaBeROin+FhGRJuMTCLFjrAZQWng6Rl5lJdYPrMO17Cgj7UcZaV8LQLHpTqozmrXOrqw1Y0hzRtHK358BEQHN+EFERJpWg5Por7zyCs888wwvv/wyffv2xdvbu9rrfn5+jTY4ERGR+mjwgqU+gdDtdqsBOCrg0GbYvw4OrOdk1io8C7OqaqvfZf8egDLTlS1mp9NJ9Sg60gHM9mDUPwFefbFSO+/vXKfFSkXkvBR/i4jIZePhB1HDrAZwqgwOppGxJpn9G7+mny0Df6OEG+2budG+GYBy006Jd3fsXy2z6qqHDQIvJdRF5OrS4CT6rbfeCsAdd9yBcVbSwDRNDMPA4XA03uhERETq6ZIWLLW7QvveVuMx3Jwmw6cvJOTEFnoau+ht20kv2y5aGyfoY2TSx5Zpve/Tv8OSthDaz2od+kGHPlZpmFposVIRuRiKv0VEpNm4uEPYQGLCBpLV9TFGLdyMb1Em/W0ZDLBtZ5A9g0AjH7f8jfDDRvjhTet9bWPOWn9oILSJqlp/SESkJWpwEv2bb75pinGIiIhcMew2gwl3DGD8HBe+pSemA8Ckk3GI3kYmvW2ZjGmXQ6uC7VByBHYsthoABrTtcjqp3sdKzAd1x2Fz02KlInJRFH+LiMiV4Mzdn33IKyqlna8HbcJbQ+G+03XVf7C+HtkBRzKstuHf1ps9W0No/zOJ9Q59wc37/DsUEbmCNDiJftNNNzXFOERERK4oNWutG+wxgyn3C2fk6F/RqnsIVJRC7qbTZWDWWV+P7zlz0ZD2H6szuxsnW8Xwv8VBbLJ3ZpOzMzvNUJycmY2jxUpFpC6Kv0VE5EpR692frTtZred91uPio7B/Lexbba1DdGA9nDwGO5dYDcCwW2sWVc5U7zgA/Ds2qEyiiMjl1OAkOsCKFSt455132L17N/PmzaNDhw78+9//JiIightuuKGxxygiItIsLlhr3dXj9GyaAWfedOLwmYT6wQ1wMBVOHsPnaDoPuaRXbVZiurPZDGeT00qqbzI7k20GX/RipSJydVP8LSIiLYZ3G4gZaTWw1h/KTbcS6pWJ9cL9kLPRamvetbbzDTk9W/10Yj0kHofNrf7rHomINKEGJ9E//vhjHnroIR588EFSU1MpKysDoKCggP/7v//jiy++aPRBioiINJcG11r3aQcxo6wGYJpwLJsdG77lm2+S6WnbTXcjCx+jlAFGBgNsGVVvLTC9MFf1hiMDrTIwHfqAXwfNyBG5xin+FhGRFs3uasW1HfrAoCes5wr2n06qn06s526CohzYttBqgMPmxmazMxsrokh1RrPBGY2LfzCTR8dqHSERuewanER/5ZVXmDFjBg8//DAffvhh1fPXX389r7zySqMOTkREpMUzDAiIIPKWcMatCSW3oBQDJ52Ng8Qbu4m37aanbTexxh78jRLI/d5qlbwDT9dW73Nm8VOfds33eUTkslP8LSIiVx3/UKt1v9t6XF4COWlVM9XLs1biVn6Mnmynp8v2qrcdKG1L2keRbN9xM137DYGQnuDq2TyfQUSuKQ1OomdkZDB48OAaz/v7+3P8+PHGGJOIiMhVx24zmDw6lvFzUjGxkWmGkmmG8olzMAbgyin+dZs313nus0rAHNgAeVuhOO+chUuxZqeH9Dyr9QLfYM1YF7lKKf4WEZGrnpsXdLoOOl2Hw2ly0/SluJdl09fYSV/bDvrYdtLF2E8H4wgd7Edg02rY9EewuUBQHHToB6H9rK9tosBmu/A+RUQaoMFJ9ODgYDIzMwkPD6/2/HfffUfnzp0ba1wiIiJXnZqLlVqC/T2YPDqW66puS/2p9aW8BA5thgOppxPrqXA0EwoPWC3jrBIO3oGYIT054NGFg14x2Dv0plf37tjtl34B4XCaqkUp0owUf4uIyLVkTVY+OYVlQAjZZggfO60/JPtQQg9bFr2NTHrZMrnZZy9uJw+fqa2+bqbVgYe/dRdnaD+rxnqHvuDdtvk+kIhcFRqcRH/sscd46qmn+Oc//4lhGBw8eJCVK1fyzDPP8MILLzTFGEVERK4alYuVrszMY8mK1Qy/cSAJUYG1J6XdvGouXFpWZC3MVHmxkLMRDm+H4jyMzBRCSSH09KYFC3yoCIynbfSAM7PWW0c0aGbO4s05NZL+IaeT/qpFKXJ5KP4WEZFrSV5Raa3Pn8CLlc44VhIHDnhjeE/GRJhwYB3sP91y0qC0AHZ/Y7VKrcOrz1YPiQcX98vyeUTk6tDgJPpzzz2H0+lk6NChlJSUMHjwYNzd3XnmmWd48sknm2KMIiIiVxW7zWBgRABHt5kMbOisbnffqltdKy1J203SRwuJs2XT3ciihy2LLsZ+/I0TkPeD1are73dOKZiep295tdfY1eLNOafLz1SXW1DK+DmpJI3to0S6yGWg+FtERK4lgb4e9dvOzxNatYFWHSHuLutJRwUc2nI6sb7e+npkBxzLttrm+dZ2NlcI7mEl1dufXvS0TRQObKzOymf9EYM2Wfl1T3ZpBLrbU6RlaXAS3TAM/vCHP/Dss8+SmZnJiRMniI2NxcfHpynGJyIiIufhcJpM/jKLHDOaDY7oqufdqKCLsY8etmz6u+/jruDDGIe2QFkhZK+wWiVXb+sioiqxHo+jTRemLNpaI4EOYAIGMGXRVhJjgxXsizSxxoy/k5KSSEpKIjs7G4C4uDgmTZrEqFGjAHj33XeZO3cuqampFBUVcezYMVq1anXBft966y3+/Oc/k5ubS8+ePfnb3/7GgAEDLvg+ERGRcw2ICCDE34PcgtJaY1EDqxzigIiAmi/aXaF9L6v1/5n13MnjVmnEyqT6/nVQcsR67mBq1VtPuXixyRHB1opw8p2d+X3mESp8w5h8R1yjTxzR3Z4iLU+Dk+iV3Nzc8PX1xdfXVwl0ERGRZrImK79a8F2pHFc2m53Z7OjMByUQMnQQCeF+cDjjdBmYNOtrbjpUFMO+VVY7zbC5MvNUe7a6dmKbM4ytZie2OjtRgPV/vgnkFJSyJiufhMg2FzV2zb4RaZjGiL9DQ0OZPn060dHRmKbJ7NmzGTNmDBs2bCAuLo6SkhJGjhzJyJEjmThxYr36/Oijj5gwYQIzZsxg4MCBvP7664wYMYKMjAwCAwMvapwiInLtstsMJo+OZfycVAyolkivjBQnj46tf9zo2Qoih1gNwDStWekH1lvt4AZOHUjD5VQJfdhCH5ctVW89XuZN+ked2bX5OiJ73gjte4NfBzAuPmbV3Z4iLVODk+inTp1iypQpvPnmm5w4cQIAHx8fnnzySSZPnoyrq2ujD1JERERqV1fNyFq3s7eB4O5W6/2g9YLTYS1WejDtTI313HRsZQXE2vYQyx44q9LLAbMNW52dqpLqJ3IDIGJgg+qsg2bfiDREY8bfo0ePrvZ46tSpJCUlsWrVKuLi4nj66acBWLZsWb37/Otf/8pjjz3GT39qLYo8Y8YMPv/8c/75z3/y3HPP1bsfERGRSiO7h5A0tk+NeDG4MeJFw4CACKv1+BEOp8nN01PwKtlNT9suehhZxNt20c3YSyujmBvt6bA9Hba/Y73fO9BKpnfoY31t3wd82tVr1w6nqbs9RVqoBifRn3zyST755BP+9Kc/kZCQAMDKlSt58cUXOXr0KElJSY0+SBEREaldvWtG1rWdzQ7tYqzW8yfWc6bJ+k3pzPhoAbHGHrrZ9hJrZBNmO0wH4ygd7EdJ5PStrymvw3JfKzEf1N0qCxPcAwK7gatnrbvU7BuRhmmq+NvhcDBv3jyKi4ur+m2o8vJy1q9fX23Wus1mY9iwYaxcubLO95WVlVFWVlb1uLCwEICKigpcXFyqvhc5n8pzROeKXIjOlZZpaExbbo6+kXV7jpFXVEagrzv9OrXGbjMa9Viuzspnf2EF0JEdjo7M42YAXDlFjLGXeFsWPYzdjG6bg3fBToziPNiZbLXTTL8OmCG9MEN6n/7ay5oBX8u+aruLtKofrLs9V2bmMbC2cjVyRdG/LVeH+h6/BifR586dy4cfflhVNxEgPj6ejh07cv/99yuJLiIichldUs3IuhgGvXr0YPMXh/mqoB+mw3ralxK6GnutGerGHuJd99HVth+jvAj2rrRaVR82aNvFSqhXJdfjcXi11ewbkQZq7Pg7PT2dhIQESktL8fHxYcGCBcTGxl7U2I4cOYLD4SAoKKja80FBQWzfvr3O902bNo0pU6bUeH7JkiV4eXkBkJKSclFjkmuPzhWpL50rLZcdOAokb2v8vtcfMah26+VpFbhUlUeEoWzzddC/Uxn+J/fQqiSL1sVZtDqZhU9pDkbhAYzCA5DxedX7i93aUuAZToFXOMc9O1HgFc4PBa1q3de5lqxYzdFttUXMciXSvy0tW0lJSb22a3AS3d3dnfDw8BrPR0RE4Obm1tDuRERE5BI0es3I8/RbhBdrza6sc3QFIOm+PnTr1haO7LRqqx9Kt77mpkPJUTi83Wrp86r6dXi2Y1pJe7a7dCTD2ZEMsyOZZgfKscpRNEatdZGrTWPH3zExMaSlpVFQUMD8+fMZN24cy5cvv+hE+sWYOHEiEyZMqHpcWFhIx44dGT58OJ6enqSkpJCYmKhSkXJeFRUVOlekXnSuyPm0ycrn/Z3rLrjd8BsH1jo7/FRZEUbuJoycNIycDRgH0zCOZ+NdfgTv8iO0LzjT9y2egdzk2oHNZjhbnOFsdkZwkDacidzPvy+5sujflqtD5R2RF9LgJPovf/lLXn75ZWbNmoW7uztg3Y45depUfvnLXzaor6SkJJKSksjOzgYgLi6OSZMmVZtlA2CaJrfeeiuLFy9mwYIF3HnnnQ0dtoiIyFWrqWpG1rvfoFircaYcDEW5pxPqm+DQZuv7o7twO3mYm+2HuZmNVf2dMm3sNkPIMDuy3RnGdrMjRbntoHPARS3apAVL5WrTmPE3WAuURkVFAdC3b1/Wrl3LG2+8wTvvvNPgvtq2bYvdbufQoUPVnj906BDBwcF1vs/d3b3qs5zN1dW16iL07O9FzkfnitSXzhWpTUJUYL3u7EyICqw9pnQNgKibrVbp5DEr/s3ZCDmbrK9HduB+Mo+h9jyGsqFq03zTh83OCLacTqwf8o4hIdL6/7UxXe4Y+VqKyfVvS8tW32PX4CT6hg0bWLp0KaGhofTs2ROAjRs3Ul5eztChQ7n77rurtv3kk0/O21doaCjTp08nOjoa0zSZPXs2Y8aMYcOGDcTFxVVt9/rrr2NcwsrHIiIiV7uR3UNIjA1u9ED1ovo1DPALsVqX4WeeLy8mPXUlHyz6ghhjL11t++hq7MXfKKGLcYAuHGC0fZW1bcpfrFrrgd0gKM5qgaeT9Z6t69y1FiyVq1Fjxt+1cTqd1eqTN4Sbmxt9+/Zl6dKlVRNdnE4nS5cuvagEv4iIyOXWJHd2eraGiMFWq1R2Ag5tYWvqt2xet4Lutmyijf0EGCcYbE9nMOnWdhXAHydCSDyE9LRacLxVKtHe4DQecPljZMXkcjVq8G9fq1atuOeee6o917Fjx4va+ejRo6s9njp1KklJSaxataoqiZ6WlsZf/vIX1q1bR0iIftFERETqYrcZTVICpdH6dfMmdsBQvvnG4IOqmT4mweRXJdS72vYR57KfKOOgVWt9/xqrnc23/enEeiwEnk6wt+3C4u1HtWCpXJUaM/6eOHEio0aNIiwsjKKiIubOncuyZctITrYWR8vNzSU3N5fMzEzAqp/u6+tLWFgYAQHWbeVDhw7lrrvuqkqST5gwgXHjxtGvXz8GDBjA66+/TnFxMT/96U8v9iOLiIhcVk11Z2c17j4QNpDYsIHsjRrLo4u2kl9QSLSxn+62bAa472OIfw6tCjOgvAj2fG+1Si6e1gST4B5nWlAcuPued7eLN+dc1hj5cu9P5HJpcBJ91qxZTTEOHA4H8+bNo7i4mISEBMAq7P7AAw/w1ltvnfd2UBEREWkZas70McilDbnONiynFzgg6Sd9iK6stZ63FQ5tOfO1YB8UHbRa5pkFfEybC9FmCG+4hrLd2ZEdZkd2mKHsM9thYtOCpdKiNWb8nZeXx8MPP0xOTg7+/v7Ex8eTnJxMYmIiADNmzKi24OfgwYOrxvDII48AsGvXLo4cOVK1zU9+8hMOHz7MpEmTyM3NpVevXixevLjGYqMiIiJXsso7MFdm5rFkxWqG3ziw7hIujbSvWu/2dFTAkR1nysDkbLRKJJafgIOpVjtb6wgI7g5Blcn17uDfEQwDh9NkyqKttZapMaHRY+TLvT+Ry+ni7gNpROnp6SQkJFBaWoqPjw8LFiyoWtTo17/+Nddddx1jxoypd39lZWXVbketLA5fUVFBRUVF4w5eLqjyZ66ffcui49by6Ji1PNfyMRsa05a/3deTV77YTm7hmf+zg/3d+cOorgyNaUuFEwiItlrXs+KA0kKMw9sw8rZC3taq742yQiLZR6R9H3fYV1ZtftJ0I9Nszw4zlJ0nQtm+/DBduvc7fWFha9C4HU6TVbsOs/6Igf/OPAZFtlPw3wI05+/alfj7PXPmzPO+/uKLL/Liiy+ed5vK9YzO9stf/lLlW0REpMWz2wwGRgRwdJvJwCau4V3n3Z521zPlDHvdbz3ndEL+bjiUfnrdodNrDhUdhGNZVtu26EwfHv4Q1IM8zyhuOOHGVqMTO81Qyqle+9kEcgpKWZOV3yh3nq7Jyq82k/9cjb0/kcupwUn0o0ePMmnSJL755hvy8vJwOp3VXs/Pz29QfzExMaSlpVFQUMD8+fMZN24cy5cvJzMzk6+//poNGzZcuJOzTJs2rdrsmUpLlizBy8urQX1J40lJSbnwRnLF0XFreXTMWp5r+Zj9LhZ2FRoUVoCfK0T6FePYs54v9tTn3UFWa3sLtDHZeegYW/YcoKuxjxjbXmKM/XQ2DuJplNPDyKYH2WAHln8Iy+GUzZ0ij/YUeXSgyKMDhR6hFHl24KRrQK3J9Y1HDT7JtnG83ADsvL8zjVZuJneHO+nZpra5NnKlaY7ftZKSkkbpp7HjbxEREWlhbDZoG2W1uLvOPF98FA6dTqhXfj28HUoLYM93hPAdfz6dN68w7ewy27PV7MQ2ZxjbzE5sdXYiHz/yiupOfDdEfftprP2JXE4NTqI/9NBDZGZm8uijjxIUFHTJC366ubkRFRUFQN++fVm7di1vvPEGnp6e7Nq1i1atWlXb/p577uHGG29k2bJltfY3ceJEJkyYUPW4sLCQjh07Mnz4cPz8/C5prNJwFRUVpKSkkJiYqJWKWxAdt5ZHx6zl0TFrXKuz8vn7P9fxDb3BYT1nx0GYkUcXYz/Rxn662PYztE0+XkVZuDjKaF2SReuSrGr9mG7emG26QLuumO1iMNt2ZdmxNsxamYdJ9ZinoNxg1g47f7uvJyPiVLbiStWcv2uVd0ReqsaOv0VEROQq4d0GOt9ktUqnyuBwBhzazMHta8jespputr20Nk7Q1dhHV/ZZk0tOO2S2wn11DzjU05r9HhgL7WLA1bPBwwn09WjU7USuJA1Ooq9YsYLvvvuOnj17NsV4cDqdlJWVMWXKFH72s59Ve61Hjx689tprNRYkPZu7uzvu7u41nnd1dVWSohnp598y6bi1PDpmLY+OWeNIiAokxN+D3KoFS8GBnSwzhCwzhCX0J9jHg9t+NQTDdFi3wx7eBnnbrdk6h7fDkZ0Y5cUYORsg58ydcMOATe6eZJod2OEMZYfZgZ1mKJnODuTQhqlfZjAqvoNKu1zhmuN3rbH219Txt4iIiFxFXNwhJB5C4gmKv597/vg1uQUnCSafbrY9xBp7qr5G2A4RZByHnBVWq2TYICASgmIhMO7011ir/rqt7pKIAyICasTkZzOwFmsdEBHQ2J9apMk1OInetWtXTp482Sg7nzhxIqNGjSIsLIyioiLmzp3LsmXLSE5OJjg4uNbFRMPCwoiIiGiU/YuIiMjVoeaCpWdUprYnj449neh2gXZdrBZ7Vr11R4WVXM/bZiXV87ZRcmALrsd342ucpLeRSW9bZrX9Fpvu7D4ZQv6/e9Iuoge0jYG2XSCgM7i4NfGnlmtFY8bfIiIicu04O0bOpQ05zjZ8TR9wWDGyNyf5xyhvEnwOwSFrzSEObYGT+XB0p9W2/vdMh65e0K7rOcn1OPBpV2N/F47JRVqWBifR3377bZ577jkmTZpE9+7da8ywaUjJlLy8PB5++GFycnLw9/cnPj6e5ORkEhMTGzosERERucaN7B5C0tg+TFm0tdqCRsH+HkweHcvI7iHn78Duat262i6m6qmUtAM88+E6Ohm5dDldEiba2E8X4wDhRi7eRhk9jGzIyoassy4wbC7WTJ12MdA22kqut+tiJdjdfavt1uE0WZOVT15RKYG+1swcXVjI2Roz/hYREZFry/lj5D4knBsjmyacOGQl0/O2nk6ub7FKxFSUwMFUq53Nu501Uz0ojpGBsfzn1iB+/90psgvNc/ZXj5hc5ArV4CR6q1atKCwsZMiQIdWeN00TwzBwOBz17mvmzJkN2rdpauEuERERqdvI7iEkxgY3WlI60NeDClzINEPJNEP54qz1HF04RZiRR5RxgD8MsNPJPGBdXBzZAeUnzszeOZdv+9MJ9Ri2VATx9mY7a4racRh/wCBEFxhyjsaMv0VEROTa06AY2TDAN9hqUUPPPO88XRKxKrl++mt+FhQfhqzlVgOuA77BoLRdGMd8onG27Ub76F7Y2uXDqQCr5IxIC9PgJPqDDz6Iq6src+fO1cJGIiIicsWx2wwSIts0Sl/nq+t4CheyzPac9OtM6B1DoPIixDSh8KCVTD+y40xi/cgOa1ZP0UGr7V5GHPAWgAcUmF7sMtuTWdyBDR+0p91NN9K3z0Bo3cmaJS/XLMXfIiIicqkuOUa22U/fYRkNcXeeeb682CqFeHY5mLytGMWH8Szag2fRHsj5CtJPb2/YrdKH7WIgsJtVHqZdV2gTBa5acFSuXA1Oom/evJkNGzYQExNz4Y1FREREWrCLqutoGODfwWqRt1Tv8OQxOLITZ9525n6xlODyPUQZB+lo5OFvlNDHyKRPZd31Hz6AHzhdGibcurCobG2jra8+Qdb+5Kqm+FtERESuWG7e0KGv1c524rCVVM/benrNoQw4vA1KC87csbn9szPbG7bTyfWuZ7XT6w3VI7muEonS1BqcRO/Xrx/79u1TEC8iIiLXhEuutX42z9bQcQCryyN5vvjMTCB3ygk3cokyDhJlHCDSdpBI4yBdXfOwO07C0UyrncvNF9pEnkmqV7VIHK4+TXIhoQuUy0/xt4iIiLQ4Pu3A5ybofNOZ5yrrrZ+dVD+cYT0uPX4m5j03ud46HNp1O2v2emVy3ROAxZtzasTqKpEoja3BSfQnn3ySp556imeffZYePXrUWNgoPj6+0QYnIiIiciWorCO5MjOPJStWM/zGgSREBV508jivqLTa4zLcyDDDyDDDrCdOl7h+466ejOlsnL6g2AlHd8GRndbj43ugvAhy0qx2jnwCwBHMCTOETWYw8z07MWboYAYP6A/2BoeAgC5QmovibxEREbkqnF1v/ew7Nk0TTuRVT6pXJtlPHrNqsefvhozPz+4MWodzyCOC3ft8SHC2Z5fRnt1me4rwIreglPFzUkka20dxqjSKBl9B/eQnPwHgf/7nf6qeMwxDCxuJiIjIVc1uMxgYEcDRbSYDL3H2daBv/eo9Bvp5gn8bqzTM2bN4AE6VwbHsM0n100n2skMZuJfl04582tnzSWDr6e2B5P/DucQFW0DE6dnrkdDmrFnsPoF1lodZvDmH8XNSa9SG1wVK01P8LSIiIlc1wwDfIKt1vvnM86ZpLVpa28z1k/lwLIsgsvjfc7Kbh8xW7HK2Z5fZnq0LlpLofjv2wC7g10GlEOWiNTiJnpWV1RTjEBEREblmnG/BUrDqrQf7W6VS6uTibt3K2u5MiQ+H0+TmP35NcekROhu5RBg5dLblEGHkEGnkEG7k4kn5mTqU53L1tmpRtulsfQ3oDAGROFpHMGXh1lrHap4e75RFW0mMDVZplyag+FtERESuSYZhTfLwCaxZFqb4CFs2rubDL1LoYuyns5FDpO0gwcYxgozjBNmPcx1brTs8/zPTep+rN7SNskrBtO1yeqHULhAQqUVN5YIanETv1KlTU4xDRERE5JpxUQuW1sOarPzTpVZ8SDOjSDOjwHl2305CyOe921sR65ZnzWA/cjqhXrAfKorhULrVzh4vsNR0Z49bINlmMHvMYLLNILLNYLKdQRyiNTkFpazJyichsg3SuBR/i4iIiJzFMMCnHZnevfm3o3q87EMJkYa1vpC1zlAO17c6im/xXivWzdlotWr92aBVp+qJ9crmrdhWLBdVEPPf//43M2bMICsri5UrV9KpUydef/11IiIiGDNmTGOPUUREROSq06gLlp52bq31c5nYOEhbdvr0IrZXh+ovniqD43utepNHd52pPZm/C/PYXryMMroZ++jGvhr9njTd2GMG4f9VF9gVa83mqZzJ7tcBbLbzjqupFit1OE1WZ+Wz/ohBm6z8S6pj39wUf4uIiIhUV1uJxBN4sdGMYuNZk0k+uHMQCeF+cGwPHNkBRzKsiSRHdsDhHVBWAMeyrLYzuXqHngHWnZ+V5Q9PN0ercFZnF1y2OLOp4mWpvwYn0ZOSkpg0aRJPP/00U6dOrarB2KpVK15//XUF8SIiIiL1VLlgaWMFxPWutV7bdi7up2feRNd4afWOHJ6b9TnhxiHCjVw6nf4abuTS0TiMp1FOV2Mf5OyDnKXV32x3h4CIs8rDVLYI8Atl8bbDTbJYafVFUO28v3Ndi10EVfG3iIiISE0NKpFoM06XcokCbj2zUWXd9SM7TredVt31IzuhYK9Ve33vSqtVYyPM2YahZgg7s0JY7RHKTYMG0a/vAPDvCDZ7o33O6nGtpaXGtS1Zg5Pof/vb3/jHP/7BnXfeyfTp06ue79evH88880yjDk5ERETkame3GY1WAqVRaq3Xon9UMGV+ESwvCGHZOa+5cIoOxlH6+BzlL0P9sB3LqprBzrE94CiDw9utdg6nYaebow1/MgPZ6xLEXjOQvWYg+woD+e2cozD2xou6MLjaFkFV/C0iIiJSU6OUSDy77nr4DdVfKy85Xf5wh/X1aCYF+7dh5O/CzzhJmO0wYRzmJjbBKeC7mfAdYHc7vc5QFLSJrD6L3btdgxY3vdri2pbsohYW7d27d43n3d3dKS4ubpRBiYiIiEjDNVWt9fP168CFvWYQE8eMwnZuAO84BYX7zyoPk3VWiZg92BxldLLl0Yk8YHON/RbM98H8IRqjdThUtQjrq18HsNcMZR1OkymLrq5FUBV/i4iIiNSuKUokVnHzgpB4q2HFmSP/+DU5ZSdpSyERRg4Rthw6G7nW90YO4bZDuDnK65xEgrtf9cR6QOSZxx5+1Ta9GuPalqzBSfSIiAjS0tJqLHC0ePFiunXr1mgDExEREZGGa6oLiYvq1+5yJvnN0Govrco8zNPvLSbMyLOa7dCZ74082hkF+HMCDm6w2rlsLtatsq3DrdIwp/ezubg1JwryAa9aP4cJLW4RVMXfIiIiInVr7BKJdVmTlX86DjY4gj9HTH/WOrpW28aGk/n3h9HH+4g1keT0DHaOZlrrD5UV1h3ferezJoycLn+4+1Q7ggqLOEkQx/HhzLQYS0uMa1uyeifRX3rpJZ555hkmTJjAL37xC0pLSzFNkzVr1vDBBx8wbdo03nvvvaYcq4iIiIjUQ1NdSDRmv3knyjlEAIfMANaaXasWfqrkRSkdjTxeGuzNwFZFcCzbmsl+LBuO7wFH+ZkFoHZ/U/W+nkC6B+SbPlZpmNMlYr5wDGKLGX5m/xdYhPVKoPhbREREpH4as0RiXeoTPzqxsc9sS5+onhBVfRIJFaVWLHt2Yr0y0V6cZ9VmLz4M+9cAEA186m69tcD0Yo8ZxB4ziGwzmL1mINnOYLLNIPIKTzbuB5Va1TuJPmXKFJ544gl+9rOf4enpyfPPP09JSQkPPPAA7du354033uC+++5ryrGKiIiISD011YVEY/V7oUVQS/AgwwzD2WUQnLs/pxOKck4n0bOrtYrDu3EtO0qAcYIA4wS92A1AhjOsWhK9vouwNifF3yIiIiJXjvrGj3Vu5+oBgV2tdq7SgtMTRirLH+6m4OBOSnJ3EmLk42+UEG9kEU9Wjbc6PvOElZ2tuzMDzv7a2SqBeBGLnDqcZpPP7G9p6p1EN80zFXgefPBBHnzwQUpKSjhx4gSBgYFNMjgRERERuTpd0iKoNhv4d7DaOQtA2ZwmQ6d/jlvRPjoaZ0rEbDE7XbjfK0xTxN9JSUkkJSWRnZ0NQFxcHJMmTWLUqFEAlJaW8pvf/IYPP/yQsrIyRowYwdtvv01QUFCdfT7yyCPMnj272nMjRoxg8eLFFzVGERERkSvRJcWvF+LhD+17We00n9M12I8XFBBqHCbcyKWTcaiqhRu5dLAdxe44CXlbrHYuuxu06lQzud46AlqFgYtbjbcs3pxTo4RjSGPUmG/hGlQT3Thn9VgvLy+8vGqvNykiIiIiUpemXAT12Tv6Mn6OwXYzrNH6bS6NHX+HhoYyffp0oqOjMU2T2bNnM2bMGDZs2EBcXBy//vWv+fzzz5k3bx7+/v788pe/5O677+b7778/b78jR45k1qxZVY/d3d0veowiIiIiV6Kmil/rs79MM5SdZmiN/c14oDsjOpw6PXv9zCz2qjs2HeVwdKfVajCsmeqtO1mJ9tbhbCr2573vSnCYgRj4Y2IDILeglPFzUkka2+eaTaQ3KInepUuXGoH8ufLz8y9pQCIiIiJybbiiFkG9QjV2/D169Ohqj6dOnUpSUhKrVq0iNDSUmTNnMnfuXIYMGQLArFmz6NatG6tWrWLQoEF19uvu7k5wcHC9xyEiIiLSEl3uOPNC+xtRub82kTXf7HRA4YGayfXKxxUlULjfanusCRPxwPzTcyFKTVf2m+1OrzPUjn1mIMs+TSMx4HbsARHg4deon/VK16Ak+pQpU/D392+qsYiIiIjINaapF0FdmZnHkhWrGX7jQBKiAlvMDPRKTRl/OxwO5s2bR3FxMQkJCaxfv56KigqGDRtWtU3Xrl0JCwtj5cqV502iL1u2jMDAQFq3bs2QIUN45ZVXaNOm7tr5ZWVllJWVVT0uLCwEoKKiAhcXl6rvRc6n8hzRuSIXonNFGkLni1zI0Ji23Bx9I6t2HebrlesZktCXQZHtsNuMJjlvKve3bs8x8orKCPR1p1+n1vXbn3eI1TpeV/1504SSIxjH98LxbIzjezm8L4NdO7YRZuQRYhzFw6ggyjhIFAfPvO8U8Dr8VVkAANa5SURBVO6frC48W2O2smaxW1/DMFuFY7YKA/9Qq5RMC1DfY9agJPp9992n+uciIiIi0qiachHUgREBHN1mMrCFLobUFPF3eno6CQkJlJaW4uPjw4IFC4iNjSUtLQ03NzdatWpVbfugoCByc3Pr7G/kyJHcfffdREREsGvXLn7/+98zatQoVq5cid1e+0JW06ZNY8qUKTWeX7JkSVW5mpSUlIv/kHJN0bki9aVzRRpC54vUR9+2ULBzHcm1VUtpAnbgKJC8rTF79QRiWF/elfcr7gbAhVOEGEfpaBwmzMij4+l1hjoah4l2ycPbWYRx8hjGyWOQk1ajRxODk64BlLi3o9itHSXu7Shxa0eJW1tK3NpS6toaDFtjfoiLVlJSUq/t6p1Ev9BtpCIiIiIi0niaKv6OiYkhLS2NgoIC5s+fz7hx41i+fPlF93ffffdVfd+jRw/i4+OJjIxk2bJlDB06tNb3TJw4kQkTJlQ9LiwspGPHjgwfPhxPT09SUlJITEzE1dX1osclV7+KigqdK1IvOlekIXS+SH1dbedKm6x83t+5DoBTuLDPDGKfGcQP52w3Z2w/BrZ3heN7MY7vwTi+p+b3p07iVXEUr4qjtGV7jX2ZNlfwD8X074jTvyMHzHbk2QMxQgfQvXvPyzr5pfKOyAupdxLdNGtbd1ZERERERJpCU8Xfbm5uREVFAdC3b1/Wrl3LG2+8wU9+8hPKy8s5fvx4tdnohw4dalC9886dO9O2bVsyMzPrTKK7u7vXuvioq6tr1UXo2d+LnI/OFakvnSvSEDpfpL6ulnMlISqQEH8PcgtKqS0KNbBqsVeVSPQJgNBeNTc0TTiRB8f3WIubHsu2vj++12oF+zGcFXAsC+NYFjag0+n24pqHeXLJnZd1HaP6Hrt6J9GdTudFD0ZERERERBrmcsXfTqeTsrIy+vbti6urK0uXLuWee+4BICMjg71795KQkFDv/vbv38/Ro0cJCWk5C7iKiIiIXOvsNoPJo2MZPycVA6ol0ivnhU8eHXvhWeKGAb5BVus4oObrTgcU5bA6dQMfpXxPB+MwocYRQo3D7DBDyS0oZfycVJLG9rlsifT6aFBNdBERERERabkmTpzIqFGjCAsLo6ioiLlz57Js2TKSk5Px9/fn0UcfZcKECQQEBODn58eTTz5JQkJCtUVFu3btyrRp07jrrrs4ceIEU6ZM4Z577iE4OJhdu3bx29/+lqioKEaMGNGMn1REREREGmpk9xCSxvZhyqKt5BSUVj0f7O/ReLPDbXYcvh14elUGOc4ba93EAKYs2kpibPAVs66RkugiIiIiIteIvLw8Hn74YXJycvD39yc+Pp7k5GQSExMBeO2117DZbNxzzz2UlZUxYsQI3n777Wp9ZGRkUFBQAIDdbmfTpk3Mnj2b48eP0759e4YPH87LL79ca7kWEREREbmyjeweQmJsMGuy8skrKiXQ14MBEQGNmsxek5VfLUl/LhPIKShlTVY+CZFtGm2/l0JJdBERERGRa8TMmTPP+7qHhwdvvfUWb731Vp3bnF2r3dPTk+Tk5EYbn4iIiIg0P7vNaNLkdV5R3Qn0i9nucrA19wBERERERERERERE5NoQ6OvRqNtdDkqii4iIiIiIiIiIiMhlMSAigBB/D+oqEGMAIf5WGZkrhZLoIiIiIiIiIiIiInJZ2G0Gk0fHAtRIpFc+njw69opZVBSURBcRERERERERERGRy2hk9xCSxvYh2L96yZZgfw+SxvZhZPeQZhpZ7bSwqIiIiIiIiIiIiIhcViO7h5AYG8yarHzyikoJ9LVKuFxJM9ArKYkuIiIiIiIiIiIiIped3WaQENmmuYdxQSrnIiIiIiIiIiIiIiJSByXRRURERERERERERETqoCS6iIiIiIiIiIiIiEgdmjWJnpSURHx8PH5+fvj5+ZGQkMCXX35Z9frPf/5zIiMj8fT0pF27dowZM4bt27c344hFRERERERERERE5FrSrEn00NBQpk+fzvr161m3bh1DhgxhzJgxbNmyBYC+ffsya9Ystm3bRnJyMqZpMnz4cBwOR3MOW0RERERERERERESuES7NufPRo0dXezx16lSSkpJYtWoVcXFxPP7441WvhYeH88orr9CzZ0+ys7OJjIy83MMVERERERERERERkWtMsybRz+ZwOJg3bx7FxcUkJCTUeL24uJhZs2YRERFBx44dm2GEIiIiIiIiIiIiInKtafYkenp6OgkJCZSWluLj48OCBQuIjY2tev3tt9/mt7/9LcXFxcTExJCSkoKbm1ud/ZWVlVFWVlb1uLCwEICKigoqKiqa7oNIrSp/5vrZtyw6bi2PjlnLo2PWMum4tTzNecx0noiIiIiIXB2aPYkeExNDWloaBQUFzJ8/n3HjxrF8+fKqRPqDDz5IYmIiOTk5vPrqq9x77718//33eHh41NrftGnTmDJlSo3nlyxZgpeXV5N+FqlbSkpKcw9BLoKOW8ujY9by6Ji1TDpuLU9zHLOSkpLLvk8REREREWl8zZ5Ed3NzIyoqCrAWEl27di1vvPEG77zzDgD+/v74+/sTHR3NoEGDaN26NQsWLOD++++vtb+JEycyYcKEqseFhYV07NiR4cOH4+fn1/QfSKqpqKggJSWFxMREXF1dm3s4Uk86bi2PjlnLo2PWMum4tTzNecwq74gUEREREZGWrdmT6OdyOp3VyrGczTRNTNOs83UAd3d33N3dazzv6uqqi91mpJ9/y6Tj1vLomLU8OmYtk45by9Mcx0zniIiIiIjI1aFZk+gTJ05k1KhRhIWFUVRUxNy5c1m2bBnJycns3r2bjz76iOHDh9OuXTv279/P9OnT8fT05NZbb23OYYuIiIiIiIiIiIjINaJZk+h5eXk8/PDD5OTk4O/vT3x8PMnJySQmJnLw4EFWrFjB66+/zrFjxwgKCmLw4MH88MMPBAYGNuewRUREREREREREROQa0axJ9JkzZ9b5Wvv27fniiy8u42hERERERERERERERKqzNfcARERERETk8khKSiI+Ph4/Pz/8/PxISEjgyy+/rHq9tLSUX/ziF7Rp0wYfHx/uueceDh06dN4+TdNk0qRJhISE4OnpybBhw9i5c2dTfxQRERERkctGSXQRERERkWtEaGgo06dPZ/369axbt44hQ4YwZswYtmzZAsCvf/1rFi1axLx581i+fDkHDx7k7rvvPm+ff/rTn3jzzTeZMWMGq1evxtvbmxEjRlBaWno5PpKIiIiISJNr1nIuIiIiIiJy+YwePbra46lTp5KUlMSqVasIDQ1l5syZzJ07lyFDhgAwa9YsunXrxqpVqxg0aFCN/kzT5PXXX+f5559nzJgxALz//vsEBQXx6aefct999zX9hxIRERERaWJKoouIiIiIXIMcDgfz5s2juLiYhIQE1q9fT0VFBcOGDavapmvXroSFhbFy5cpak+hZWVnk5uZWe4+/vz8DBw5k5cqVdSbRy8rKKCsrq3pcWFgIQEVFBS4uLlXfi5xP5Tmic0UuROeKNITOF6kvnStXh/oePyXRRURERESuIenp6SQkJFBaWoqPjw8LFiwgNjaWtLQ03NzcaNWqVbXtg4KCyM3NrbWvyueDgoLq/R6AadOmMWXKlBrPL1myBC8vLwBSUlIa8rHkGqZzRepL54o0hM4XqS+dKy1bSUlJvbZTEl1ERERE5BoSExNDWloaBQUFzJ8/n3HjxrF8+fLLOoaJEycyYcKEqseFhYV07NiR4cOH4+npSUpKComJibi6ul7WcUnLUlFRoXNF6kXnijSEzhepL50rV4fKOyIvREl0EREREZFriJubG1FRUQD07duXtWvX8sYbb/CTn/yE8vJyjh8/Xm02+qFDhwgODq61r8rnDx06REhISLX39OrVq84xuLu74+7uXuN5V1fXqovQs78XOR+dK1JfOlekIXS+SH3pXGnZ6nvsbE08DhERERERuYI5nU7Kysro27cvrq6uLF26tOq1jIwM9u7dS0JCQq3vjYiIIDg4uNp7CgsLWb16dZ3vERERERFpaTQTXURERETkGjFx4kRGjRpFWFgYRUVFzJ07l2XLlpGcnIy/vz+PPvooEyZMICAgAD8/P5588kkSEhKqLSratWtXpk2bxl133YVhGDz99NO88sorREdHExERwQsvvED79u258847m++DioiIiIg0IiXRRURERESuEXl5eTz88MPk5OTg7+9PfHw8ycnJJCYmAvDaa69hs9m45557KCsrY8SIEbz99tvV+sjIyKCgoKDq8W9/+1uKi4t5/PHHOX78ODfccAOLFy/Gw8Pjsn42EREREZGmoiS6iIiIiMg1YubMmed93cPDg7feeou33nqrzm1M06z22DAMXnrpJV566aVGGaOIiIiIyJVGNdFFREREREREREREROqgJLqIiIiIiIiIiIiISB2URBcRERERERERERERqYOS6CIiIiIiIiIiIiIidVASXURERERERERERESkDkqii4iIiIiIiIiIiIjUQUl0EREREREREREREZE6KIkuIiIiIiIiIiIiIlIHJdFFREREREREREREROqgJLqIiIiIiIiIiIiISB2URBcRERERERERERERqYOS6CIiIiIiIiIiIiIidVASXURERERERERERESkDkqii4iIiIiIiIiIiIjUQUl0EREREREREREREZE6KIkuIiIiIiIiIiIiIlIHl+YewOVSXF6Mvdxe43m7zY6Hi0e17epiM2x4unpe1LYlFSWYplnrtoZh4OXqdVHbnqw4idN0/n/27js8iupt4/h30xNSqCEJLaGF3kSaSu9dUYpSRVCKIAgoKgIqRUARG6LSq0qXDtKR3psISKgJoaYQUnffP/JmfywpbCCQdn+uay/YOWfOnNkzOzt59uwzyfYjh0OOx6obGRtJnDHuievGxMRY7EtUbBSxxthk23Wxd8FgMFhV19neGRtD/PdA0XHRxMTFpEldJzsnbG1sU103Ji6G6LjoZOs62jliZ2OX6rqxxliiYqOSretg64C9rX2q68YZ44iMjUyyXkxMDDHG/+13SnUB7G3tcbB1AMBoMnI/5n6a1LWzscPRzhEAk8lERExEmtRNzfs+s5wjYmJiiIyLJCImAg97D/PyjH6OgNS977PSOSJhzO5F38PeZJ+pzhFg+V7OTueIh8cts5wjkqubHc4RD49Zgmd1jpDUuRd9D6OtMdGY6b2WdN2M9F5LztN8ryWIjosm2pT8+y2rXrND9v08Tm3dBz8LHHHUOeIx6mbGc8TjXrPfi76X5LUD6BzxOHUzwzniQam5joiLtXzP6ByRec8R1sg2QXSfr3zAKfHy5iWas/r11ebnnpM8k32T1ilSh63dt5qf+07x5WbEzSTrVvWpyv5e+83Py/xQhoshF5OsWyZfGU72PWl+/vwvz3Pqxqkk6xbxKELAewHm57Vn1ebAtQNJ1s3rkpcbQ2+Ynzeb34xtF7clWdfF3oV7H/3vxNDu93asObsmyboAppH/e6N3WdaFxacWJ1t3UflF5v+/veptZh+dnWzd4CHB5MuRD4DB6wfz44Efk617YeAFfHP6AvDxXx8zafekZOue6HOCsp5lARi7Yyyjt41Otu6+t/bxfIHnAZiyZwrDNg1Ltu6Wbluo61sXgJ8P/kz/tf2Trbuq0ypalGwBwPzj8+mxokeydX9/9XdeK/saAMtOL6P94vbJ1p3ZZibdK3UHYP259bRc2DLZut83+55+1foBsOPSDurNrpds3W4+3WhDGwAOBR6i2q/Vkq07ss5IRtUdBcDpG6cpN7VcsnWH1BzCxMYTAbgUcgm/KX7J1u1btS8/tPgBgJsRN/Gc5Jl8fyt2Y1bbWUD8h5HrONdk675a5lX+eO0P8/OU6ma6c8SlzHeOCB8ebv5wzpbniOPx/2S2c8SEhhMY+sJQIJueI/5/3DLdOSITXkek2TniuGXdZ3GOmLp/arL1JGkW1+wPjJnea/EyxXvtIU/zvVbJsxIA3+3/juGbhydbNytfs2f7z+P/Z/U54rjOEQ/K6ueIJ75mP564rs4R8bLsOYLUnSOe836OEflHmJ/rHJE5zxHWXrMrnYuIiIiIiIiIiIiISDIMpuR+O5BFhIaG4uHhwbUb13B3d09Urp+GJl03LdO5bN24lRYtWmBvb58pf9KRXdO5bNqwiTYt22Bvb6+ffWWCc0RMTAzr16+nadOmeLgonQtk/HNEwpg1adIEe3ulc3mcuumVzuXBccss54jk6maHc8TDY5bgWZwjbt65Sb7c+QgJCUnyOlT+58Frdmdn50Rjpvda0nUz0nstOU/zvWaMM7JmzRoaNmmY4vSwrHrNDtn38zi1dR/8LHB0UDqXx6mbGc8Rj53OJfJektcOoHPE49TNDOeIB6U2ncuWjVto3rw59vb2Okdk0nOEtdfs2SadSw6HHBaDn1K91LRprQcP/rSs++AbOy3rPnhyeZK6MYYY8xsD4j9EHHG0qt3U1HWwdTCfwNOrrr2tvfmDLC3r2tnYYedg3Vs1NXVtbWyTPYZjDDHY29hbVfdhNgabp1LXYDA8lbrw9N73z/IcEWOIwcnWKVFZRj9HPCw7nSMSxiyHQ45EF+cZ/RzxJHUz+zkipXF7uG5q2n2U7Hod8bDHOUc8aszg6Z4jMpJx48axdOlS/vnnH5ydnalVqxZffvkl/v7+5jrnz59nyJAh7Ny5k6ioKJo2bcp3331H/vz5k2131KhRjB5t+XNZf39//vnnn1T3MYdDDpwdnB85ZnqvxctI7zVrpPV7zRhnNNdN7lh5WFa6Zn+Supn98zi1dVP6LNA5IvV1M8s54nHq2tvak8MhxyM/hxLq6hyRNc4Rj1s3xmAZpNU5Il5mPEdYQ+lcRERERESygW3bttGvXz/27NnDxo0biYmJoXHjxty7Fz/D6t69ezRu3BiDwcDmzZvZtWsX0dHRtGrVCqMx+RlNAGXLliUwMND82Llz57PYJRERERGRZyLbzEQXEREREcnO1q1bZ/F81qxZeHp6cvDgQWrXrs2uXbsICAjg8OHD5p+yzp49m1y5crF582YaNmyYbNt2dnZ4eXk91f6LiIiIiKSXdA2iT506lalTpxIQEADEz2D59NNPadasGbdv32bkyJFs2LCBS5cukS9fPtq2bcvnn3+Oh4dHyg2LiIiIiEiKQkJCAMidOzcAUVFRGAwGHB3/95NaJycnbGxs2LlzZ4pB9LNnz+Lj44OTkxM1a9Zk3LhxFC5cONn6UVFRREX9L99raGgoEJ+32M7Ozvx/kZQkHCM6VuRRdKxIauh4EWvpWMkarB2/dA2iFyxYkPHjx1OiRAlMJhOzZ8+mTZs2HD58GJPJxLVr15g0aRJlypTh4sWLvPPOO1y7do3FixenZ7dFRERERDI1o9HIe++9xwsvvEC5cuUAqFGjBjly5OCDDz5g7NixmEwmPvzwQ+Li4ggMDEy2rerVqzNr1iz8/f0JDAxk9OjRvPTSS5w4cQI3N7ck1xk3blyiPOoAGzZswMUlPkfoxo0b02BPJTvQsSLW0rEiqaHjRaylYyVzi4hI/ga2D0rXIHqrVq0sno8ZM4apU6eyZ88eevbsyZIlS8xlxYoVY8yYMXTu3JnY2FjzDBUREREREUmdfv36ceLECYvc5fny5eOPP/6gT58+fPvtt9jY2NCpUyeqVKmCjU3yt1Jq1qyZ+f8VKlSgevXqFClShN9//52ePXsmuc7w4cMZPHiw+XloaCiFChWicePGODs7s3HjRho1amT1zSIle4qJidGxIlbRsSKpoeNFrKVjJWtI+EXko2SYSHRcXBx//PEH9+7do2bNmknWCQkJwd3dPcUAeko/DdXPK549/bQlc9K4ZT4as8xHY5Y5adwyn/Qcs4x6nPTv359Vq1axfft2ChYsaFHWuHFjzp8/z82bN7GzsyNnzpx4eXlRtGhRq9vPmTMnJUuW5Ny5c8nWcXR0tEgbk8De3t78R+iD/xdJiY4VsZaOFUkNHS9iLR0rmZu1Y5fuQfTjx49Ts2ZNIiMjcXV1ZdmyZZQpUyZRvZs3b/L555/Tu3fvFNuz5qeh8uzppy2Zk8Yt89GYZT4as8xJ45b5pMeYWfvT0GfFZDLx7rvvsmzZMrZu3Yqfn1+ydfPmzQvA5s2bCQ4OpnXr1lZvJzw8nPPnz9OlS5cn7rOIiIiISEaQ7kF0f39/jhw5QkhICIsXL6Zbt25s27bNIpAeGhpKixYtKFOmDKNGjUqxvZR+Guru7v60dkOSoZ+2ZE4at8xHY5b5aMwyJ41b5pOeY2btT0OflX79+rFgwQJWrFiBm5sbQUFBAHh4eODs7AzAzJkzKV26NPny5WP37t0MHDiQQYMG4e/vb26nQYMGvPzyy/Tv3x+AIUOG0KpVK4oUKcK1a9cYOXIktra2dOrU6dnvpIiIiIjIU5DuQXQHBweKFy8OwHPPPcf+/fuZMmUK06ZNAyAsLIymTZvi5ubGsmXLHvnHz8M/DTWZTADcv39ff+ymg5iYGCIiIrh//z6xsbHp3R2xksYt89GYZT4as8xJ45b5pOeY3b9/H/jf9Wh6mzp1KgB169a1WD5z5ky6d+8OwJkzZxg+fDi3b9/G19eXjz/+mEGDBlnUT0j3kuDKlSt06tSJW7dukS9fPl588UX27NlDvnz5rO5bwmsUGhpqHrPQ0FBdv0uKdKyItXSsSGroeBFr6VjJGhImvjzqmt1gyihX9f+vfv36FC5cmFmzZhEaGkqTJk1wdHRkzZo1j5WO5cqVKxQqVOgp9FRERERE5NEuX76cKPe4WNI1u4iIiIikp0dds6frTPThw4fTrFkzChcuTFhYGAsWLGDr1q2sX7+e0NBQGjduTEREBPPmzSM0NNT8zUC+fPmwtbW1ahs+Pj5cvnwZNzc3DAbD09wdSUJCOp3Lly8rnU4monHLfDRmmY/GLHPSuGU+6TlmJpOJsLAwfHx8nul2M6MHr9nDwsL0PhOr6Jws1tKxIqmh40WspWMla7D2mj1dg+jBwcF07dqVwMBAPDw8qFChAuvXr6dRo0Zs3bqVvXv3ApjTvSS4cOECvr6+Vm3DxsZGM38yAHd3d51QMiGNW+ajMct8NGaZk8Yt80mvMfPw8Hjm28yMHrxmT5j4oveZWEvHilhLx4qkho4XsZaOlczPmmv2dA2iT58+PdmyunXrZpj8kSIiIiIiIiIiIiKSPdmkdwdERERERERERERERDIqBdHlqXJ0dGTkyJE4Ojqmd1ckFTRumY/GLPPRmGVOGrfMR2OW+WjMxFo6VsRaOlYkNXS8iLV0rGQvBpNypoiIiIiIiIiIiIiIJEkz0UVEREREREREREREkqEguoiIiIiIiIiIiIhIMhREFxERERERERERERFJhoLokibCwsJ47733KFKkCM7OztSqVYv9+/eby7t3747BYLB4NG3aNB17nP1s376dVq1a4ePjg8FgYPny5RblJpOJTz/9FG9vb5ydnWnYsCFnz561qHP79m3eeOMN3N3dyZkzJz179iQ8PPwZ7kX2khZj5uvrm+i9N378+Ge4F9nPo8Zt6dKlNG7cmDx58mAwGDhy5EiiNiIjI+nXrx958uTB1dWVdu3acf369WezA9lQWoxZ3bp1E73X3nnnnWezA9lUSuMWExPDBx98QPny5cmRIwc+Pj507dqVa9euWbShz7VnR+Ml1kqLY0XXP9nHoz7DR40aRalSpciRIwe5cuWiYcOG7N2716KOzi3ZQ1ocKzq3ZA+POlYe9M4772AwGPjmm28sluu8kjUpiC5p4q233mLjxo3MnTuX48eP07hxYxo2bMjVq1fNdZo2bUpgYKD5sXDhwnTscfZz7949KlasyA8//JBk+YQJE/j222/56aef2Lt3Lzly5KBJkyZERkaa67zxxhucPHmSjRs3smrVKrZv307v3r2f1S5kO2kxZgCfffaZxXvv3XfffRbdz7YeNW737t3jxRdf5Msvv0y2jUGDBvHnn3/yxx9/sG3bNq5du8Yrr7zytLqc7aXFmAH06tXL4r02YcKEp9Fd+X8pjVtERASHDh1ixIgRHDp0iKVLl3LmzBlat25tUU+fa8+OxkuslRbHCuj6J7t41Gd4yZIl+f777zl+/Dg7d+7E19eXxo0bc+PGDXMdnVuyh7Q4VkDnluzgUcdKgmXLlrFnzx58fHwSlem8kkWZRJ5QRESEydbW1rRq1SqL5VWqVDF9/PHHJpPJZOrWrZupTZs26dA7SQpgWrZsmfm50Wg0eXl5mSZOnGhedvfuXZOjo6Np4cKFJpPJZDp16pQJMO3fv99cZ+3atSaDwWC6evXqM+t7dvU4Y2YymUxFihQxTZ48+Rn2VB708Lg96MKFCybAdPjwYYvld+/eNdnb25v++OMP87LTp0+bANPu3bufYm/FZHq8MTOZTKY6deqYBg4c+FT7JslLadwS7Nu3zwSYLl68aDKZ9LmWnjReYq3HOVZMJl3/ZFfWHC8hISEmwLRp0yaTyaRzS3b1OMeKyaRzS3aU3LFy5coVU4ECBUwnTpxIdFzovJJ1aSa6PLHY2Fji4uJwcnKyWO7s7MzOnTvNz7du3Yqnpyf+/v706dOHW7duPeuuSjIuXLhAUFAQDRs2NC/z8PCgevXq7N69G4Ddu3eTM2dOqlataq7TsGFDbGxsEv3MTZ4+a8Yswfjx48mTJw+VK1dm4sSJxMbGPuvuSiocPHiQmJgYi7EtVaoUhQsXTjS2krHMnz+fvHnzUq5cOYYPH05ERER6d0keEBISgsFgIGfOnIA+1zI6jZdY6+FjJYGuf+Rh0dHR/Pzzz3h4eFCxYkVA5xZJWlLHSgKdW8RoNNKlSxeGDh1K2bJlE5XrvJJ12aV3ByTzc3Nzo2bNmnz++eeULl2a/Pnzs3DhQnbv3k3x4sWB+FQur7zyCn5+fpw/f56PPvqIZs2asXv3bmxtbdN5DyQoKAiA/PnzWyzPnz+/uSwoKAhPT0+Lcjs7O3Lnzm2uI8+ONWMGMGDAAKpUqULu3Ln5+++/GT58OIGBgXz99dfPtL9ivaCgIBwcHBIFAx4eW8lYXn/9dYoUKYKPjw/Hjh3jgw8+4MyZMyxdujS9uybE32fggw8+oFOnTri7uwP6XMvINF5iraSOFdD1j1hatWoVHTt2JCIiAm9vbzZu3EjevHkBnVvEUkrHCujcIvG+/PJL7OzsGDBgQJLlOq9kXQqiS5qYO3cub775JgUKFMDW1pYqVarQqVMnDh48CEDHjh3NdcuXL0+FChUoVqwYW7dupUGDBunVbZEsb/Dgweb/V6hQAQcHB95++23GjRuHo6NjOvZMJGt5MMdh+fLl8fb2pkGDBpw/f55ixYqlY88kJiaG9u3bYzKZmDp1anp3Rx5B4yXWSulY0fWPPKhevXocOXKEmzdv8ssvv9C+fXv27t2bKMgl8qhjRecWOXjwIFOmTOHQoUMYDIb07o48Y0rnImmiWLFibNu2jfDwcC5fvsy+ffuIiYmhaNGiSdYvWrQoefPm5dy5c8+4p5IULy8vAK5fv26x/Pr16+YyLy8vgoODLcpjY2O5ffu2uY48O9aMWVKqV69ObGwsAQEBT7N78gS8vLyIjo7m7t27FssfNbaSsVSvXh1An3PpLCHIdvHiRTZu3GgxU1WfaxmPxkusldKxkhRd/2RvOXLkoHjx4tSoUYPp06djZ2fH9OnTAZ1bxFJKx0pSdG7Jfnbs2EFwcDCFCxfGzs4OOzs7Ll68yPvvv4+vry+g80pWpiC6pKkcOXLg7e3NnTt3WL9+PW3atEmy3pUrV7h16xbe3t7PuIeSFD8/P7y8vPjrr7/My0JDQ9m7dy81a9YEoGbNmty9e9f86wKAzZs3YzQazcEieXasGbOkHDlyBBsbG828ycCee+457O3tLcb2zJkzXLp0KcWxlYzlyJEjAPqcS0cJQbazZ8+yadMm8uTJY1Guz7WMReMl1nrUsZIUXf/Ig4xGI1FRUYDOLZKyB4+VpOjckv106dKFY8eOceTIEfPDx8eHoUOHsn79ekDnlaxM6VwkTaxfvx6TyYS/vz/nzp1j6NChlCpVih49ehAeHs7o0aNp164dXl5enD9/nmHDhlG8eHGaNGmS3l3PNsLDwy1mRF64cIEjR46QO3duChcuzHvvvccXX3xBiRIl8PPzY8SIEfj4+NC2bVsASpcuTdOmTenVqxc//fQTMTEx9O/fn44dO+Lj45NOe5W1PemY7d69m71791KvXj3c3NzYvXs3gwYNonPnzuTKlSud9irre9S43b59m0uXLnHt2jUgPkAO8TMWvLy88PDwoGfPngwePJjcuXPj7u7Ou+++S82aNalRo0a67FNW96Rjdv78eRYsWEDz5s3JkycPx44dY9CgQdSuXZsKFSqkyz5lBymNm7e3N6+++iqHDh1i1apVxMXFmXNQ5s6dGwcHB32uPWMaL7HWkx4ruv7JXlI6XvLkycOYMWNo3bo13t7e3Lx5kx9++IGrV6/y2muvAfobJzt50mNF55bs41F/Gzz85a29vT1eXl74+/sDOq9kaSaRNPDbb7+ZihYtanJwcDB5eXmZ+vXrZ7p7967JZDKZIiIiTI0bNzbly5fPZG9vbypSpIipV69epqCgoHTudfayZcsWE5Do0a1bN5PJZDIZjUbTiBEjTPnz5zc5OjqaGjRoYDpz5oxFG7du3TJ16tTJ5OrqanJ3dzf16NHDFBYWlg57kz086ZgdPHjQVL16dZOHh4fJycnJVLp0adPYsWNNkZGR6bRH2cOjxm3mzJlJlo8cOdLcxv379019+/Y15cqVy+Ti4mJ6+eWXTYGBgemzQ9nAk47ZpUuXTLVr1zblzp3b5OjoaCpevLhp6NChppCQkPTbqWwgpXG7cOFCkmWAacuWLeY29Ln27Gi8xFpPeqzo+id7Sel4uX//vunll182+fj4mBwcHEze3t6m1q1bm/bt22fRhs4t2cOTHis6t2Qfj/rb4GFFihQxTZ482WKZzitZk8FkMpkeJ/guIiIiIiIiIiIiIpLVKSe6iIiIiIiIiIiIiEgyFEQXEREREREREREREUmGgugiIiIiIiIiIiIiIslQEF1EREREREREREREJBkKoouIiIiIiIiIiIiIJENBdBERERERERERERGRZCiILiIiIiIiIiIiIiKSDAXRRURERERERERERESSoSC6iEgG0r17d9q2bZve3Xgif/31F6VLlyYuLu6J2jEYDCxfvtzq+uvWraNSpUoYjcYn2q6IiIiISEp0zf4/umYXkezCYDKZTOndCRGR7MBgMKRYPnLkSAYNGoTJZCJnzpzPplNPwXPPPcfgwYN54403nqidoKAgcuXKhaOjo9XrPP/88wwYMIAuXbo80bZFREREJHvSNXvq6JpdRLILBdFFRJ6RoKAg8/9/++03Pv30U86cOWNe5urqiqura3p0Lc3s3LmTli1bEhQUhJOT0zPf/g8//MCsWbPYv3//M9+2iIiIiGR+umZ/+nTNLiKZkdK5iIg8I15eXuaHh4cHBoPBYpmrq2uin4YajUbGjRuHn58fzs7OVKxYkcWLF5vLt27disFgYP369VSuXBlnZ2fq169PcHAwa9eupXTp0ri7u/P6668TERFhXq9u3br079+f/v374+HhQd68eRkxYgQPfq96584dunbtSq5cuXBxcaFZs2acPXs2xX1ctGgRjRo1srgYHzVqFJUqVWLGjBkULlwYV1dX+vbtS1xcHBMmTMDLywtPT0/GjBlj0daDPw0NCAjAYDCwdOlS6tWrh4uLCxUrVmT37t0W67Rq1YoDBw5w/vx5q8dFRERERCSBrtl1zS4ikhQF0UVEMrBx48YxZ84cfvrpJ06ePMmgQYPo3Lkz27Zts6g3atQovv/+e/7++28uX75M+/bt+eabb1iwYAGrV69mw4YNfPfddxbrzJ49Gzs7O/bt28eUKVP4+uuv+fXXX83l3bt358CBA6xcuZLdu3djMplo3rw5MTExyfZ3x44dVK1aNdHy8+fPs3btWtatW8fChQuZPn06LVq04MqVK2zbto0vv/ySTz75hL1796b4enz88ccMGTKEI0eOULJkSTp16kRsbKy5vHDhwuTPn58dO3ak2I6IiIiISFrRNbslXbOLSFZkl94dEBGRpEVFRTF27Fg2bdpEzZo1AShatCg7d+5k2rRp1KlTx1z3iy++4IUXXgCgZ8+eDB8+nPPnz1O0aFEAXn31VbZs2cIHH3xgXqdQoUJMnjwZg8GAv78/x48fZ/LkyfTq1YuzZ8+ycuVKdu3aRa1atQCYP38+hQoVYvny5bz22mtJ9vnixYv4+PgkWm40GpkxYwZubm6UKVOGevXqcebMGdasWYONjQ3+/v58+eWXbNmyherVqyf7mgwZMoQWLVoAMHr0aMqWLcu5c+coVaqUuY6Pjw8XL1606jUWEREREXkSumZPTNfsIpIVaSa6iEgGde7cOSIiImjUqJE596Krqytz5sxJ9NPHChUqmP+fP39+XFxczBfjCcuCg4Mt1qlRo4bFjZNq1qzJ2bNniYuL4/Tp09jZ2VlcHOfJkwd/f39Onz6dbJ/v37+fZF5FX19f3NzcLPpTpkwZbGxsLJY93MeHPbif3t7eAInWcXZ2tvgZrIiIiIjI06Jr9sR0zS4iWZFmoouIZFDh4eEArF69mgIFCliUOTo6Wjy3t7c3/99gMFg8T1hmNBqfUk//J2/evNy5cyfR8qT68zh9fHg/gUTr3L59m3z58qWq3yIiIiIij0PX7Inpml1EsiIF0UVEMqgyZcrg6OjIpUuXLH4GmlYezmW4Z88eSpQoga2tLaVLlyY2Npa9e/eafxp669Ytzpw5Q5kyZZJts3Llypw6dSrN+2qtyMhIzp8/T+XKldOtDyIiIiKSfeiaPfV0zS4imZGC6CIiGZSbmxtDhgxh0KBBGI1GXnzxRUJCQti1axfu7u5069btidq/dOkSgwcP5u233+bQoUN89913fPXVVwCUKFGCNm3a0KtXL6ZNm4abmxsffvghBQoUoE2bNsm22aRJE2bPnv1E/XoSe/bswdHR0ZyPUkRERETkadI1e+rpml1EMiMF0UVEMrDPP/+cfPnyMW7cOP777z9y5sxJlSpV+Oijj5647a5du3L//n2qVauGra0tAwcOpHfv3ubymTNnMnDgQFq2bEl0dDS1a9dmzZo1iX7S+aA33niDYcOGcebMGfz9/Z+4j6m1cOFC3njjDVxcXJ75tkVEREQke9I1e+roml1EMiODyWQypXcnRETk2apbty6VKlXim2++SfO2hw4dSmhoKNOmTUvztlNy8+ZN/P39OXDgAH5+fs902yIiIiIiaU3X7CIiGYfNo6uIiIhY7+OPP6ZIkSLP5KZIDwoICODHH3/UxbiIiIiIyCPoml1EJHU0E11EJBt6mrNaRERERETkyemaXUQk41AQXUREREREREREREQkGUrnIiIiIiIiIiIiIiKSDAXRRURERERERERERESSoSC6iIiIiIiIiIiIiEgyFEQXEREREREREREREUmGgugiIiIiIiIiIiIiIslQEF1EREREREREREREJBkKoouIiIiIiIiIiIiIJENBdBERERERERERERGRZCiILiIiIiIiIiIiIiKSDAXRRURERERERERERESSoSC6iIiIiIiIiIiIiEgyFEQXEREREREREREREUmGgugiIiIiIiIiIiIiIslQEF1EREREREREREREJBkKoouIiIiIiIiIiIiIJENBdBGRp2DWrFkYDAYOHDjwzLZ5+fJlRo8eTbVq1ciVKxd58+albt26bNq0yar1AwICMBgMST4WLVqUqP7p06dp2rQprq6u5M6dmy5dunDjxo1E9YxGIxMmTMDPzw8nJycqVKjAwoULk+yDtW2m5O7duzg5OWEwGDh9+nSq1hUREREREREReZhdendARETSxooVK/jyyy9p27Yt3bp1IzY2ljlz5tCoUSNmzJhBjx49rGqnU6dONG/e3GJZzZo1LZ5fuXKF2rVr4+HhwdixYwkPD2fSpEkcP36cffv24eDgYK778ccfM378eHr16sXzzz/PihUreP311zEYDHTs2PGx2kzJH3/8gcFgwMvLi/nz5/PFF19YtZ6IiIiIiIiISFIMJpPJlN6dEBHJambNmkWPHj3Yv38/VatWfSbbPHnyJPnz5ydv3rzmZVFRUVSqVInw8HAuX76c4voBAQH4+fkxceJEhgwZkmLdvn37MmvWLP755x8KFy4MwKZNm2jUqBHTpk2jd+/eAFy9ehU/Pz969+7N999/D4DJZKJOnTpcuHCBgIAAbG1tU9Xmo9SpU4e8efNSpEgRli9fzn///WfVeiIiIiIiIiIiSVE6FxGRLKJs2bIWAXQAR0dHmjdvzpUrVwgLC7O6rXv37hEdHZ1s+ZIlS2jZsqU52A3QsGFDSpYsye+//25etmLFCmJiYujbt695mcFgoE+fPly5coXdu3enus2UXLp0iR07dtCxY0c6duzIhQsX+Pvvv61aV0REREREREQkKQqii4ikI6PRyM2bN616xMTEPNY2goKCcHFxwcXFxar6o0ePxtXVFScnJ55//nk2bNhgUX716lWCg4OTnGFfrVo1Dh8+bH5++PBhcuTIQenSpRPVSyhPbZspWbhwITly5KBly5ZUq1aNYsWKMX/+fKvWFRERERERERFJioLoIiLp6NKlS+TLl8+qx65du1Ld/rlz51i6dCnt2rUzp01Jjo2NDY0bN2bixImsXLmSyZMnExwcTLNmzVi9erW5XmBgIADe3t6J2vD29ub27dtERUWZ6+bPnx+DwZCoHsC1a9dS3WZK5s+fT5s2bXB2dgagQ4cO/P7778TGxj5yXRERERERERGRpOjGoiIi6cjLy4uNGzdaVbdixYqpajsiIoLXXnsNZ2dnxo8f/8j6hQsXZv369RbLunTpQpkyZXj//fdp0aIFAPfv3wfiU8U8zMnJyVzH0dHR/G9K9VLbZnKOHTvG8ePHGTdunHlZp06dGDt2LOvXrzf3X0REREREREQkNRREFxFJR05OTjRs2DDN242Li6Njx46cOnWKtWvX4uPj81jt5M6dmx49ejB+/HiuXLlCwYIFzbO8k5oZHhkZCWCu4+zsbHU9a9tMzrx588iRIwdFixbl3LlzQPzr6+vry/z58xVEFxEREREREZHHoiC6iEg6iouL48aNG1bVzZ07Nw4ODlbV7dWrF6tWrWL+/PnUr1//SbpIoUKFALh9+zYFCxY0p1xJSMHyoMDAQHLnzm2eMe7t7c2WLVswmUwWKV0S1k0I7qemzaSYTCYWLlzIvXv3KFOmTKLy4OBgwsPDcXV1tWqfRUREREREREQSKIguIpKOLl++jJ+fn1V1t2zZQt26dR9Zb+jQocycOZNvvvmGTp06PWEP4b///gMgX758ABQoUIB8+fJx4MCBRHX37dtHpUqVzM8rVarEr7/+yunTpy2C23v37jWXp7bNpGzbto0rV67w2WefJbqJ6Z07d+jduzfLly+nc+fOj9xfEREREREREZEHKYguIpKO0jon+sSJE5k0aRIfffQRAwcOTLZeSEgIgYGBeHt74+HhAcCNGzfMgfIEV69eZcaMGVSoUMHipp/t2rVj9uzZXL582TxT/a+//uLff/9l0KBB5npt2rRh0KBB/Pjjj3z//fdA/Kzxn376iQIFClCrVq1Ut5mUhFQuQ4cONedQf/h1mT9/voLoIiIiIiIiIpJqBpPJZErvToiIZDWzZs2iR48e7N+/n6pVqz6TbS5btoxXXnmFEiVK8OmnnyYqb9SoEfnz57fo38yZM+nevTsAPXr04Pz58zRo0AAfHx8CAgKYNm0aYWFhrF+/3mIW/OXLl6lcuTI5c+Zk4MCBhIeHM3HiRAoWLMj+/fstUq8MGzaMiRMn0rt3b55//nmWL1/O6tWrmT9/Pq+//vpjtfmgqKgovLy8qFu3LsuWLUuyzpAhQ5gyZQpXr17F09MztS+tiIiIiIiIiGRjmokuIpJFHD16FICzZ8/SpUuXROVbtmwxB9GT0rhxY3766Sd++OEH7ty5Q86cOalduzaffPIJVapUsahbqFAhtm3bxuDBg/nwww9xcHCgRYsWfPXVV4mC3ePHjydXrlxMmzaNWbNmUaJECebNm2cRQE9tmw9avXo1d+/epVWrVsnWadWqFV999RWLFi1iwIABydYTEREREREREXmYZqKLiIiIiIiIiIiIiCTDJr07ICIiIiIiIiIiIiKSUSmILiIiIiIiIiIiIiKSDAXRRURERERERERERESSoSC6iIiIiIiIiIiIiEgyFEQXEREREREREREREUmGgugiIiIiIiIiIiIiIslQEF1EJIsyGo3Exsamdzckg+jevTu+vr7p3Q0RERERERGRTEdBdBFJkcFgsOqxdevW9O7qY7l8+TKjR4+mWrVq5MqVi7x581K3bl02bdqUqO6sWbOS3f+goKBHbiul169Ro0bJrjd//nwMBgOurq5W79eECRNwd3fH3d2dDz74IMk6oaGhjB49mooVK+Lq6oqzszPlypXjgw8+4Nq1a1ZvKyNaunQpHTp0oGjRori4uODv78/777/P3bt3U1zv/PnzODk5YTAYOHDggFXbOnfuHK+++iq5cuXCxcWFF198kS1btljUMRqNzJo1i9atW1OoUCFy5MhBuXLl+OKLL4iMjHzc3RQRERERERGRZ8AuvTsgIhnb3LlzLZ7PmTOHjRs3JlpeunTpZ9mtNLNixQq+/PJL2rZtS7du3YiNjWXOnDk0atSIGTNm0KNHj0TrfPbZZ/j5+Vksy5kz5yO39fBrBnDgwAGmTJlC48aNk1wnPDycYcOGkSNHDut2CNi1axfjxo3j66+/xsXFhY8++ojnnnuO9u3bm+v8999/NGzYkEuXLvHaa6/Ru3dvHBwcOHbsGNOnT2fZsmX8+++/Vm8zo+nduzc+Pj507tyZwoULc/z4cb7//nvWrFnDoUOHcHZ2TnK9QYMGYWdnR1RUlFXbuXz5MjVr1sTW1pahQ4eSI0cOZs6cSePGjfnrr7+oXbs2ABEREfTo0YMaNWrwzjvv4Onpye7duxk5ciR//fUXmzdvxmAwpNn+J+WXX37BaDQ+1W2IiIiIiIiIZEUGk8lkSu9OiEjm0b9/f3744Qeyyqnj5MmT5M+fn7x585qXRUVFUalSJcLDw7l8+bJ5+axZs+jRowf79++natWqabL9t956ixkzZnDp0iUKFiyYqPzDDz9k+fLlVK1aleXLlxMeHv7INidNmsTVq1eZPHkyAFOmTOHcuXN89913AMTGxlK1alXOnj3L+vXrefHFFy3WDw0N5csvv2TMmDFpsIfpY+vWrdStW9di2Zw5c+jWrRu//PILb731VqJ11q9fT+vWrRk2bBhffPGFVePcr18/fv75Z06cOIG/vz8QHzAvVaoU+fLl4+DBgwBER0dz4MABatWqZbH+Z599xsiRI9m4cSMNGzZ8gj0WERERERERkadF6VxEJFsrW7asRQAdwNHRkebNm3PlyhXCwsKSXC8sLIy4uLgn2nZUVBRLliyhTp06SQbQz549y+TJk/n666+xs7P+h0NFixZl5cqV7Nmzh6NHjzJ//nxKlChhLl+yZAlHjx7l448/ThRAB3B3d3+sALqvr2+KKWtGjRqV6jYf18MBdICXX34ZgNOnTycqi4mJYeDAgQwcOJBixYpZvZ0dO3ZQuXJlcwAdwMXFhdatW3Po0CHOnj0LgIODQ6IA+qP69DCDwUD//v35448/KFOmDM7OztSsWZPjx48DMG3aNIoXL46TkxN169YlICDAYv2Hc6IHBARgMBiYNGkSP//8M8WKFcPR0ZHnn3+e/fv3W/0aiIiIiIiIiGR1SuciIs9caGgo7u7uFstiYmKwt7e3an2j0cjt27etquvh4WF1uw8KCgrCxcUFFxeXRGX16tUjPDwcBwcHmjRpwldffWURpLbWmjVruHv3Lm+88UaS5e+99x716tWjefPm/P7771a327ZtW+bOnUvNmjXN/e3du7e5fOXKlQB06dIl1X1OyTfffGOeKb906VKWLVvG1KlTzbncK1SokOL64eHhVuUHt7e3x8PDI9X9S8hb//CXJhDf9zt37vDJJ5+wdOlSq9uMiooiV65ciZYnHDcHDx5M8dhIqU9J2bFjBytXrqRfv34AjBs3jpYtWzJs2DB+/PFH+vbty507d5gwYQJvvvkmmzdvfmSbCxYsICwsjLfffhuDwcCECRN45ZVX+O+//x7rvSMiIiIiIiKS1SiILiLPzN69e+nQoQMXL16kbt26/PHHH9y6dYtXX32VkydPUrVqVX777bdE+cYfdunSpUfWSbBly5YkZyWn5Ny5cyxdupTXXnsNW1tb83IXFxe6d+9OvXr1cHd35+DBg3z99dfUqlWLQ4cOUahQoVRtZ/78+Tg6OvLqq68mKlu9ejUbNmzg6NGjqWoTwMbGhmXLlnH69GliYmIoX768Rb7t06dP4+Hhker+Pkrbtm3N/z937hzLli3j1VdftTpA3L9/f2bPnv3IenXq1HmsG9l++eWX2NraJnq9g4KC+Pzzz5k0aVKiL3cexd/fnx07dhAWFoabm5t5+c6dOwG4evVqiusn3AC2WbNmVm3vzJkz/PPPP+YZ5bly5eLtt9/miy++4N9//zX3IS4ujnHjxhEQEGAx+zwply5d4uzZs+YvA/z9/WnTpg3r16+nZcuWVvVLREREREREJCtTEF1E0szrr7/OpUuXiImJwdnZmWnTppnTXJhMJt566y2mTZtG1apVeeedd+jWrRtXrlyhbdu2bN68mT///JO3336bDRs2pLgdLy8vNm7caFWfKlasmKp9iIiI4LXXXsPZ2Znx48dblLVv397i5pxt27alSZMm1K5dmzFjxvDTTz9ZvZ3Q0FBWr15N8+bNE92UNDo6mkGDBvHOO+9QpkyZVPX/Qcnd7DU0NNQi4JtRDBs2jM6dOz+yXlIzvx9lwYIFTJ8+nWHDhiWaGf7BBx9QtGjRJPOkP0qfPn34888/6dChA2PGjCFHjhz8+OOPHDhwAID79+8nu+7YsWPZtGkTP/74o1U3pgVo0KCBRVC8evXqALRr185iTBOW//fff48Monfo0MHiNX3ppZfM64qIiIiIiIiIgugikoZGjhxpDpq/99579OnTx5xO4sqVKxQuXJgmTZoAMHfuXMqUKUOFChX4/PPPAXjzzTf57rvviI2NTTEHuJOT01O5CWNcXBwdO3bk1KlTrF27Fh8fn0eu8+KLL1K9enU2bdqUqm0tWbKEyMjIJFO5TJ48mZs3bzJ69OhUtWktd3f3DBkgLVOmzBN9aZCcHTt20LNnT5o0aZIo1/uePXuYO3cuf/31FzY2qb9NSLNmzfjuu+/48MMPqVKlCgDFixdnzJgxDBs2zJzK5mG//fYbn3zyCT179qRPnz5Wb69w4cIWzxPS2jz8q4KE5Xfu3El1mwkBdWvWFREREREREckOFEQXkTTz4M0VgURByQdTijg5OeHp6cmtW7cwmUwWZSaTKcXtxMXFcePGDav6lDt3bhwcHKyq26tXL1atWsX8+fOpX7++VetAfADzzJkzVteH+FQuHh4eidJlhISE8MUXX9C3b19CQ0MJDQ0F4vOFm0wmAgICcHFxwdPTM1Xbe1CpUqU4fPgwly9fTvOULk8iJCQkxZnbCRwcHMidO7dVbR49epTWrVtTrlw5Fi9enOjLmWHDhvHSSy/h5+dnvhHnzZs3AQgMDOTSpUuJgswP69+/Pz169ODYsWM4ODhQqVIlpk+fDkDJkiUT1d+4cSNdu3alRYsWqfr1AmCRXsia5Y96Lz3puiIiIiIiIiLZgYLoIpLmNm/ezK+//sqWLVvMywoWLMjFixdZt24d1apV44svviBnzpwEBQUxaNAgPvvsM/78809y5879yJsZXr58Oc1zog8dOpSZM2fyzTff0KlTJ6vaTvDff/+RL18+q+sHBgayZcsWunfvjqOjo0XZnTt3CA8PZ8KECUyYMCHRun5+frRp04bly5enqo8PatWqFQsXLmTevHkMHz78sdtJSUJg1mg0Wr3OwIED0zQn+vnz52natCmenp6sWbMmyVnhly5d4uLFi0keT61bt8bDw4O7d+8+cls5cuQw38gVYNOmTTg7O/PCCy9Y1Nu7dy8vv/wyVatW5ffff0/xFxciIiIiIiIikjHor3cRSVMHDhygffv2zJgxg+eff9683GAwMGPGDF5//XXOnTtHtWrVWLFiBffu3aNNmzZMmTKFsmXLsmTJkkduI61zok+cOJFJkybx0UcfMXDgwGTr3bhxI1GwfM2aNRw8eJABAwZYLD9//jwAxYoVS9TOokWLMBqNSaZy8fT0ZNmyZYmWf/vtt+zevZuFCxfi7e39yH1Kyauvvsq4ceMYM2YMdevWtQj+AoSFhTF+/PhEqU9SI2Gm/I0bN6yeNZ+WOdGDgoJo3LgxNjY2rF+/PtkvOX7++WciIiIslm3evJnvvvuOSZMmUapUKfPykJAQAgMD8fb2NqdLScrff//N0qVL6dOnj0W906dP06JFC3x9fVm1ahXOzs6P3A8RERERERERSX8KootImtm/fz+tWrXi559/5pVXXklU/vzzz3P27FkiIyNxcnIyLz9x4gShoaG4u7tbtZ20zIm+bNky880mS5cuzbx58yzKGzVqRP78+QGoVasWlStXpmrVqnh4eHDo0CFmzJhBoUKF+OijjyzWa9CgAYA5RciD5s+fj4+PT5Iz5F1cXGjbtm2i5cuXL2ffvn1JlqWWvb09S5cupWHDhtSuXZv27dvzwgsvYG9vz8mTJ1mwYAG5cuUyB9G3bt1KvXr1GDlyJKNGjbJqG/Xr18fGxob333+fDh060KpVK/LmzZviOmmZE71p06b8999/DBs2jJ07d7Jz505zWf78+WnUqBEAjRs3TrRuwszzOnXqULVqVfPyZcuW0aNHD2bOnEn37t0BuHjxIu3bt6d169Z4eXlx8uRJfvrpJypUqMDYsWPN64aFhdGkSRPu3LnD0KFDWb16tcU2ixUrlujLDBERERERERHJGBREF5E007JlS2xtbfn222/59ttv8fDwYMWKFYnqPRhAT2BtAD2tHT16FICzZ8/SpUuXROVbtmwxB9E7dOjA6tWr2bBhAxEREXh7e9OrVy9GjhxprvMoZ86c4eDBgwwePPixbmSZVooXL86RI0eYPHkyy5YtY/ny5RiNRooXL85bb71lMbM+PDwcIFUz4EuUKMGcOXMYNWoUb731Frt27XpkED0tJYxrUilx6tSpYw6iPyl3d3e8vb35/vvvuX37NgUKFGDAgAF8/PHHuLm5mevdunWLy5cvA/Dhhx8maqdbt24KoouIiIiIiIhkUAaT7hwmIiIpGDZsGAsXLuTcuXOJcriLiIiIiIiIiGR16TcNUkREMoUtW7YwYsQIBdBFREREREREJFvSTHQRERERERERERERkWRoJrqIiIiIiIiIiIiISDIURBcRERERERERERERSYaC6CIiIiIiIiIiIiIiyVAQXUREREREREREREQkGQqii4iksevXr/Pqq6+SJ08eDAYD33zzDVu3bsVgMLB169anum2DwcCoUaOe6jayk6ioqPTugoiIiIiIiIikMwXRRSRbMBgMVj3SIsg9aNAg1q9fz/Dhw5k7dy5NmzZ98h3IwH777Tc6d+5MiRIlMBgM1K1bN9m6Bw8epGnTpri7u+Pm5kbjxo05cuSIVdtZunQpHTp0oGjRori4uODv78/777/P3bt3k6y/cuVKqlSpgpOTE4ULF2bkyJHExsZata0NGzZQsGBBcuTIQevWrZPcRlxcHDNnzqRu3brkzp0bR0dHfH196dGjBwcOHLBqOyIiIiIiIiKS8RlMJpMpvTshIvK0zZs3z+L5nDlz2LhxI3PnzrVY3qhRI/Lnz/9E2/Ly8qJhw4YW2zQajURHR+Pg4ICNzdP7/tJgMDBy5MhnOhu9bt26HDx4kOeff54jR45QoUKFJL+MOHToEC+88AKFChXi7bffxmg08uOPP3L79m327duHv79/itvJmzcvPj4+tG3blsKFC3P8+HF++uknihYtyqFDh3B2djbXXbt2LS1atKBu3bp06tSJ48eP88MPP9C7d2+mTp2a4nbCw8MpUqQIffv25bnnnmPy5MmULVuWH3/80Vzn/v37vPLKK6xbt47atWvTqlUrcufOTUBAAL///jv//vsvly5domDBgql7MUVEREREREQkw7FL7w6IiDwLnTt3tni+Z88eNm7cmGh5WggODiZnzpwWy2xsbHByckrzbWUEc+fOpUCBAtjY2FCuXLlk640YMQJnZ2d2795Nnjx5gPhxKVmyJB999BFLlixJcTuLFy9ONMv9ueeeo1u3bsyfP5+33nrLvHzIkCFUqFCBDRs2YGcX/1Hn7u7O2LFjGThwIKVKlUp2O//88w+FCxfm888/B8DPzy/RcTJ06FDWrVvH5MmTee+99yzKRo4cyeTJk1PcFxERERERERHJPJTORUQkjcyaNQuDwYDJZOKHH34wp4gBksyJXrduXcqVK8epU6eoV68eLi4uFChQgAkTJli0Gx0dzaeffspzzz2Hh4cHOXLk4KWXXmLLli3PcveSVahQIatm1+/YsYOGDRuaA+gA3t7e1KlTh1WrVhEeHp7i+kmliXn55ZcBOH36tHnZqVOnOHXqFL179zYH0AH69u2LyWRi8eLFKW6ncOHCnD17lj/++IPz58/z7bffUqJECXP5lStXmDZtGo0aNUoUQAewtbVlyJAhmoUuIiIiIiIikkVoJrqISBqpXbs2c+fOpUuXLjRq1IiuXbs+cp07d+7QtGlTXnnlFdq3b8/ixYv54IMPKF++PM2aNQMgNDSUX3/9lU6dOtGrVy/CwsKYPn06TZo0Yd++fVSqVCnVfb1586ZV9dzc3HB0dEx1+0mJioqySLmSwMXFhejoaE6cOEGNGjVS1WZQUBAQn+olweHDhwGoWrWqRV0fHx8KFixoLk+Op6cno0aNomPHjhiNRooUKcKGDRvM5WvXriU2NpYuXbqkqq8iIiIiIiIikjkpiC4ikkaKFi1K0aJF6dKlCyVLlrQqVcy1a9eYM2eOOSDbs2dPihQpwvTp081B9Fy5chEQEICDg4N5vV69elGqVCm+++47pk+fnuq+5suXz6p6M2fOpHv37qluPyn+/v7s2bOHuLg4bG1tgfhZ9nv37gXg6tWrqW7zyy+/xNbWlldffdW8LDAwEIif5f4wb29vrl279sh2hwwZQqdOnbh27Rrly5e3SMWTMOu9fPnyqe6viIiIiIiIiGQ+CqKLiDxk1KhRzJo1i0uXLrF58+Yk04ikFVdXV4tgu4ODA9WqVeO///4zL7O1tTUHnY1GI3fv3sVoNFK1alUOHTr0WNvduHGjVfXKli37WO0npW/fvvTp04eePXsybNgwjEYjX3zxhTnoff/+/VS1t2DBAqZPn86wYcMs0q0ktJPUDHonJydCQ0Otar9AgQIUKFAg0fKE9d3c3FLVXxERERERERHJnBREFxF5yGuvvUbfvn2pVq3aU99WwYIFzXnTE+TKlYtjx45ZLJs9ezZfffUV//zzDzExMeblfn5+j7Xdhg0bPtZ6T+Kdd97h8uXLTJw4kdmzZwPxKVeGDRvGmDFjcHV1tbqtHTt20LNnT5o0acKYMWMsyhJSxkRFRSVaLzIyMsmUMqnh7u4OQFhY2BO1IyIiIiIiIiKZg24sKiLykLJly+Lp6flMtpUww/xhJpPJ/P958+bRvXt3ihUrxvTp01m3bh0bN26kfv36GI3Gx9puUFCQVY/Uzg5/lDFjxnD9+nV27NjBsWPH2L9/v3kfSpYsaVUbR48epXXr1pQrV47Fixdb3DwU/pfGJWGG+4MCAwPx8fF5on0oVaoUAMePH3+idkREREREREQkc9BMdBGRDG7x4sUULVqUpUuXWsxaHzly5GO3mVS+8KSkZU70BLly5eLFF180P9+0aRMFCxY0B6dTcv78eZo2bYqnpydr1qxJcvZ6wo1WDxw4YPFrgmvXrnHlyhV69+79RP1v1qwZtra2zJs3TzcXFREREREREckGFEQXEcngEmarm0wmcxB979697N69m8KFCz9Wm+mREz0pv/32G/v372fSpEnY2Pzvx1GXLl0iIiLCIrAeFBRE48aNsbGxYf369cneHLVs2bKUKlWKn3/+mbffftv8+k2dOhWDwWBxE9LHUahQIXr16sVPP/3Ed999x7vvvmtRbjQamTx5Mh06dKBgwYJPtC0RERERERERSX8KoouIZHAtW7Zk6dKlvPzyy7Ro0YILFy7w008/UaZMGcLDwx+rzbTMib59+3a2b98OwI0bN7h37x5ffPEFALVr16Z27drmep999hmNGzcmT5487Nmzh5kzZ9K0aVMGDhxo0WbXrl3Ztm2bRVqbpk2b8t9//zFs2DB27tzJzp07zWX58+enUaNG5ucTJ06kdevWNG7cmI4dO3LixAm+//573nrrLUqXLv3E+/zVV19x/vx5BgwYwNKlS2nZsiW5cuXi0qVL/PHHH/zzzz907NjxibcjIiIiIiIiIulPQXQRkYdMmjSJn376iatXr/LGG29QoEAB9u3bl2796d69O0FBQUybNo3169dTpkwZ5s2bxx9//MHWrVvTrV8JNm/ezOjRoy2WjRgxAohPOZMQRC9QoAC2trZMnDiRsLAw/Pz8+OKLLxg8eHCivOZJOXr0KAATJkxIVFanTh2LIHrCFw+jR4/m3XffJV++fHz00Ud8+umnj72fD3JxcWHt2rXMmjWL2bNn8/nnnxMREYGPjw/169dn/vz5FChQIE22JSIiIiIiIiLpy2B6cJqfiIiIiIiIiIiIiIiY2Ty6ioiIiIiIiIiIiIhI9qR0LiIiVoiOjub27dsp1vHw8MDZ2fkZ9UhERERERERERJ4FBdFFRKzw999/U69evRTrzJw5k+7duz+bDomIiIiIiIiIyDOhnOgiIla4c+cOBw8eTLFO2bJl8fb2fkY9EhERERERERGRZ0FBdBERERERERERERGRZOjGoiIiT1FUVBQxMTHp3Q0REREREREREXlMCqKLiDxF/v7+9OrVK727ISIiIiIiIiIij0lBdBGRNHLy5Ek6d+5MgQIFcHR0xMfHh9jYWCIiItK7a4mMHTuWGjVqkC9fPpycnChRogTvvfceN27csKg3atQoDAZDso9du3Y9clsHDx6kZcuWeHl54erqSoUKFfj222+Ji4tLVHflypVUqVIFJycnChcuzMiRI4mNjU2x/X379mEwGJg8eXKisjZt2mAwGJg5c2aistq1a1OgQIFH9l9EREREREREsjflRBcRSQNLly6lU6dO5M6dm549e+Ln50dAQADTp0/n9u3b/Pbbb7Rp0ya9u2nWrl078uXLR6lSpXBzc+P06dP88ssveHp6cuTIEXLkyAHAsWPHOHbsWKL1P/roI8LDwwkKCsLBwSHZ7Rw8eJBatWpRokQJevbsiYuLC2vXrmXFihUMGDCAKVOmmOuuXbuWFi1aULduXTp16sTx48f54Ycf6N27N1OnTk12G7GxsXh4eNC0aVOWLFliUZYvXz7u3r1Lt27d+PXXX83Lo6Oj8fDwoFWrVvz+++9Wv24iIiIiIiIikv0oiC4i8oTOnz9PhQoVKFy4MNu3bydfvnzmsps3b/LSSy9x5coVjh07hp+fXzr2NGVLlizh1VdfZeHChXTs2DHZepcvX6ZIkSK89dZb/Pzzzym22bt3b2bPnk1gYCC5c+c2L69Tpw5HjhwhJCTEvKxs2bLY29tz4MAB7OzsAPjkk08YO3Ysp06dolSpUslup379+pw6dYqgoCDzsjNnzlCqVClef/11Dh48yD///GMu2717N7Vq1WLKlCkMGDAgxX0QERERERERkexN6VxERJ7QxIkTiYiI4Oeff7YIoAPkzZuXadOmER4ezsSJE9Oph9bx9fUF4O7duynWW7hwISaTiTfeeOORbYaGhuLk5ETOnDktlnt7e+Ps7Gx+furUKU6dOkXv3r3NAXSAvn37YjKZWLx4cYrbefHFF7l+/Trnzp0zL9u1axfu7u707t2bM2fOcPPmTYuyhPVERERERERERFKiILqIyBP6888/8fX15aWXXkqyvHbt2vj6+vLnn38+0Xbu3LnDzZs3H/mwNge7yWTi5s2bBAUFsWPHDgYMGICtrS1169ZNcb358+dTqFAhateu/cht1K1bl9DQUN5++21Onz7NxYsX+emnn1i6dCnDhw831zt8+DAAVatWtVjfx8eHggULmsuTkxAM37lzp3nZrl27qFGjBtWrV8fe3p6///7boszNzY2KFSs+ch9EREREREREJHtTEF1E5AmEhIRw7dq1RwZjK1SowJUrVwgLC3vsbVWuXJl8+fI98jFhwgSr2rt+/Tr58uXD29ub2rVrc+nSJRYsWJBi2pSTJ09y7NgxOnXqhMFgeOQ2evXqRf/+/Zk9ezZlypTB19eX/v378+233zJw4EBzvcDAQCB+hvrDvL29uXbtWorbqVmzJra2tomC6C+88AJOTk5Urlw5yQC7ra3tI/dBRERERERERLI3u0dXERGR5CQExd3c3FKsl1AeFhb2yLrJmT9/Pvfv339kvaJFi1rVXu7cudm4cSORkZEcPnyYpUuXEh4e/sg+AFalcgGwtbWlWLFiNGnShNdeew0nJycWLlzIu+++i5eXF23btgUw75ejo2OiNpycnAgNDU1xO25ublSoUMEcKL958yZnzpyhVq1aALzwwgvmFC7//vsvN27cUCoXEREREREREbGKgugiIk/gweB4SsLCwjAYDOTNm/ext/XCCy889rpJcXBwoGHDhgC0bNmSBg0a8MILL+Dp6UnLli0T1TeZTCxYsIBy5cpRoUIFq7Yxfvx4pkyZwtmzZ3F1dQWgffv21KtXj379+tGyZUvs7OzM+dGjoqIStREZGWmRPz05L774It999x03b97k77//xtbWlho1agBQq1YtfvzxR6KiopQPXURERERERERSRelcRESegIeHBz4+Phw7dizFeseOHaNgwYI4ODgAYGdnxwcffEDTpk2pUqUKf/311yO3dePGDYKCgh75eNRs8uTUqlULb29v82zzh+3atYuLFy9aPQsd4Mcff6R+/frmAHqC1q1bc+3aNQICAoD/pXFJSOvyoMDAQHx8fB65rYSg+K5du9i1axfly5c3b7dWrVpERUWxf/9+du7ciZ2dnTnALiIiIiIiIiKSEgXRRUSeUKtWrbhw4YJFzu0H7dixg4CAAF577TXzsri4OBo0aMC6deuYN28eXbt2xWQypbid559/Hm9v70c+Jk2a9Nj7EhkZSUhISJJl8+fPx2Aw8Prrr1vd3vXr14mLi0u0PCYmBoDY2FgAKlWqBMCBAwcs6l27do0rV66Yy1Py4M1FE/KhJ/Dx8aFIkSLmAHvlypVxcXGxej9EREREREREJPsymB4VtRERkRSdO3eOihUr4uvry/bt28mTJ4+57Pbt27z00ktcuXKFI0eO4OfnB4DBYCA6Ohp7e3sAChQowJEjR8iXL1+y29m1a5fVOdFTyot+7949DAZDoiDykiVLePXVVxkxYgSfffaZRVlMTAze3t6UKVOG7du3J9luYGAgISEhFCtWzLxf5cuX59q1a/z777/m1yUuLo7q1avz77//cuvWLXPd0qVL4+joyMGDB803/BwxYgRjxozh5MmTlC5d2qp9z5kzJ6dOnWLGjBkWAf/XX3+dCxcusGfPHgYNGsTXX3/9yPZERERERERERJQTXUTkCRUvXpw5c+bQqVMnypcvT8+ePfHz8yMgIIDp06dz584dFi1aZA6gJ9iyZQuNGzfm9OnTAI/Ml55WOdHPnj1Lw4YN6dChA6VKlcLGxoYDBw4wb948fH19GThwYKJ11q9fz61bt1JM5TJ8+HBmz57NhQsX8PX1BeDDDz+kc+fOVK9end69e+Ps7MzChQs5ePAgX3zxhTmADjBx4kRat25N48aN6dixIydOnOD777/nrbfesiqADvGz0efOnQskfr1q1arFwoULzfVERERERERERKyhmegiImnkxIkTjBs3js2bNxMcHIzRaMTJyYmDBw9SpkwZi7p2dnZ89NFH7N27l+DgYCZNmkSDBg2eST9v3rzJxx9/zPbt27l8+TIxMTEUKVKEFi1a8PHHHycZzO/UqRNLliwhKCiI3LlzJ9lu9+7dEwXRIT4AP27cOE6ePEloaCj+/v7069ePt99+O1Eby5cvZ/To0Zw+fZp8+fLRvXt3Pv30U4tge0p+/vln3n77bQoUKMCVK1csyg4fPkyVKlWA+DQznp6eVrUpIiIiIiIiItmbgugiIk/JnDlz6N69O507d2bOnDkWZXZ2duZ84CIiIiIiIiIiknEpnYuIyFPStWtXAgMD+fDDDylYsCBjx45N7y6JiIiIiIiIiEgqaSa6iIiIiIiIiIiIiEgybNK7AyIiIiIiIiIiIiIiGZWC6CIiIiIiIiIiIiIiyVAQXUREREREREREREQkGQqii4iIiIiIiIiIiIgkwy69O/C0GY1Grl27hpubGwaDIb27IyIiIiLZhMlkIiwsDB8fH2xsNHdFRERERCSzyvJB9GvXrlGoUKH07oaIiIiIZFOXL1+mYMGC6d0NERERERF5TFk+iO7m5gbE//Hi7u6ezr15fDExMWzYsIHGjRtjb2+f3t3J1jQWGYfGIuPQWGQcGouMQeOQcaTnWISGhlKoUCHz9aiIiIiIiGROWT6InpDCxd3dPdMH0V1cXHB3d9cf4+lMY5FxaCwyDo1FxqGxyBg0DhlHRhgLpRQUEREREcnclJxRRERERERERERERCQZCqKLiIiIiIiIiIiIiCRDQXQRERERERERERERkWRk+Zzo6SXOaGLfhdsEh0Xi6eZENb/c2NooH6aIiAhAXFwcMTEx6d2NpyYmJgY7OzsiIyOJi4tL7+5ka09zLOzt7bG1tU3TNkVEREREJONREP0pWHcikNF/niIwJNK8zNvDiZGtytC0nHc69kxERCR9mUwmgoKCuHv3bnp35akymUx4eXlx+fJl3VQynT3tsciZMydeXl4aZxERERGRLExB9DS27kQgfeYdwvTQ8qCQSPrMO8TUzlUUSBcRkWwrIYDu6emJi4tLlg08Go1GwsPDcXV1xcZG2fPS09MaC5PJREREBMHBwQB4e+v6TkREREQkq1IQPQ3FGU2M/vNUogA6gAkwAKP/PEWjMl5K7SIiItlOXFycOYCeJ0+e9O7OU2U0GomOjsbJyUlB9HT2NMfC2dkZgODgYDw9PZXaRUREREQki9JfdWlo34XbFilcHmYCAkMi2Xfh9rPrlIiISAaRkAPdxcUlnXsiknYSjuesnONfRERERCS7UxA9DQWHJR9Af5x6IiIiWVFWTeEi2ZOOZxERERGRrC9dg+hTp06lQoUKuLu74+7uTs2aNVm7dq25PDIykn79+pEnTx5cXV1p164d169fT8cep8zTzSlN64mIiIiIiIiIiIhI+krXIHrBggUZP348Bw8e5MCBA9SvX582bdpw8uRJAAYNGsSff/7JH3/8wbZt27h27RqvvPJKenY5RdX8cuPt4URy85EMgLeHE9X8cj/LbomIiMgT6t69OwaDAYPBgL29Pfnz56dRo0bMmDEDo9GYqrZmzZpFzpw5n05HgYCAAHNfk3vMmjXrqW1fREREREQkq0nXG4u2atXK4vmYMWOYOnUqe/bsoWDBgkyfPp0FCxZQv359AGbOnEnp0qXZs2cPNWrUSI8up8jWxsDIVmXoM+8Q7tyjts0x1hqrEYetObA+slUZ3VRURETkCcUZTey7cJvgsEg83eK/oH7an69NmzZl5syZxMXFcf36ddatW8fAgQNZvHgxK1euxM4uY9yvvVChQgQGBpqfT5o0iXXr1rFp0ybzMg8Pj/TomoiIiIiISKaUYXKix8XFsWjRIu7du0fNmjU5ePAgMTExNGzY0FynVKlSFC5cmN27d6djT1PWtJw3UztXoXeO7Xzv8B3bHAfR03YNRd2NTO1chablvNO7iyIiIpnauhOBvPjlZjr9soeBi47Q6Zc9vPjlZtadCHz0yk/A0dERLy8vChQoQJUqVfjoo49YsWIFa9eutZjZ/fXXX1OxYkUKFChAkSJF6Nu3L+Hh4QBs3bqVHj16EBISYp4VPmrUKADu3LlD165dyZUrFy4uLjRr1oyzZ8+a27148SKtWrUiV65c5MiRg7Jly7JmzZpE/bS1tcXLy8v8cHV1xc7OzmKZs7PzU32tREREREREspJ0nzJ1/PhxatasSWRkJK6urixbtowyZcpw5MgRHBwcEv3cOX/+/AQFBSXbXlRUFFFRUebnoaGhAMTExBATE/NU9uFhDfzz0qB+GWK256Jg1E1G2M/jE8MKjJe7EOP9NrgXSHWbCX1/VvsgydNYZBwai4xDY5FxZOSxiImJwWQyYTQaU50CJcG6E0H0W3AY00PLg0Ii6TPvED+8Xpmm5byevLMPMZlM5r4/qG7dulSsWJElS5bw5ptvAvE3mpw8eTKenp5cv36dd999l6FDh/LDDz9Qo0YNJk+ezMiRIzl9+jQArq6uGI1GunXrxrlz51i+fDnu7u58+OGHNG/enBMnTmBvb0/fvn2Jjo5m69at5MiRg1OnTuHi4vLI19Jkin+1Hq7XqlUrQkJCCAsL44svvqBFixZp9XJlKAn7n9T4pQWj0YjJZCImJgZbW1uLsoz4PhQRERERkdRL9yC6v78/R44cISQkhMWLF9OtWze2bdv22O2NGzeO0aNHJ1q+YcMGXFxcnqSrqVQAm1ITKXR7F8WC1+EWFYjt3h8x7P2Ja7mqcc6zGSEufla1ZDTB+VADoTEGzi7eRDF3E8oIk/42btyY3l2Q/6exyDg0FhlHRhyLhNnQ4eHhREdHp3r9OKOJ0X+eTBRABzARf++R0X+epHpB5zRP7RITE0NsbKz5y/kHFS1alFOnTpnLevToYS4rXLgww4cPZ/DgwYwbNw4ABwcHAPN1idFo5PDhw/z555+sW7eOihUrAvE3YC9XrhwLFy6kbdu2BAQE0Lp1a4oUKQJA7dq1AZLs04OioqKIi4tLVG/s2LEUKVKEM2fO8Morr5jvSZNVhYWFPZV2o6OjuX//Ptu3byc2NtaiLCIi4qlsU0REREREnq10D6I7ODhQvHhxAJ577jn279/PlClT6NChA9HR0dy9e9diNvr169fx8kp+hlnCH6oJQkNDKVSoEI0bN8bd3f2p7Ufy2oLpS2LPbcJm74/YXNxJwTt7KHhnD8bCtTBW74OpRBMwJJ1ZZ/3J64xb8w9Bof+bXe/l7sgnzUvRpGz+Z7QP8qCYmBg2btxIo0aNsLe3T+/uZGsai4xDY5FxZOSxiIyM5PLly7i6uuLk5JTq9ff8d4vrYckH303A9bBoztyOpUbRPE/Q08Ts7e2xs7NL8lrCzs4OW1tbc9mmTZsYP348//zzD2FhYcTGxhIZGYmdnR0uLi44OTlhMBgs2rp8+TJ2dnbUr1/fPJvZ3d0df39/Ll68iLu7OwMHDqRfv35s376dBg0a8Morr1ChQoVH9t3R0dGifwnKly8PgJubW5LlWYXJZCIsLAw3NzcMhrSfhRAZGYmzszO1a9dOdFw/6gsOERERERHJHNI9iP4wo9FIVFQUzz33HPb29vz111+0a9cOgDNnznDp0iVq1qyZ7PqOjo44OjomWm5vb5++wYQyLeIf147A7h/g5FJsLv2NzaW/IU9xqNEXKnYCh//Nll93IpB3Fx1NNOPuemgU7y46qhzr6Szdjykx01hkHBqLjCMjjkVcXBwGgwEbGxtsbFJ/W5Yb4dbNXr8RHv1Y7ackIX95Uu3+888/+Pn5YWNjY54t/s477zB8+HAKFSrE33//Tc+ePYmNjbXY9wfbenDZw9tI2G7v3r1p1qwZq1evZsOGDYwfP56vvvqKd99995F9f3h7CUwmE4MHD2bo0KFp/pplFAkpXJIbvydlY2ODwWBI8j2X0d6DIiIiIiLyeNL1r6Xhw4ezfft2AgICOH78OMOHD2fr1q288cYbeHh40LNnTwYPHsyWLVs4ePAgPXr0oGbNmtSoUSM9u/1kfCpBu19g4DF4YSA4esCtc7B6MEwuC5vHQHjw//9k/VSyP1kHGP3nKeKMSdUQERHJejzdrJu9bm29tLB582aOHz9u/sL/4MGDGI1GJk2axPPPP0/JkiW5du2axToODg7ExcVZLCtdujSxsbHs3bvXvOzWrVucOXOGMmXKmJcVKlSId955h6VLl/L+++/zyy+/PFH/x48fj8FgoH///k/UjoiIiIiISFaWrjPRg4OD6dq1K4GBgXh4eFChQgXWr19Po0aNAJg8eTI2Nja0a9eOqKgomjRpwo8//pieXU47HgWg0WdQeygcngd7foS7l2D7BNg1hZt+bXANrQoUTHJ1ExAYEsm+C7epWSxtf7IuIiKSEVXzy423hxNBIZFJfslsALw8nKjml/upbD8qKoqgoCDi4uK4fv0669atY9y4cbRs2ZKuXbsCULx4cWJiYvj++++pW7cuR48e5aeffrJox9fXl/DwcP766y8qVqyIi4sLJUqUoE2bNvTq1Ytp06bh5ubGhx9+SIECBWjTpg0A7733Hs2aNaNkyZLcuXOHLVu2ULp06cfen+XLl/Pbb7+xffv2p5LmREREREREJKtI15no06dPJyAggKioKIKDg9m0aZM5gA7g5OTEDz/8wO3bt7l37x5Lly5NMR96puToBjX6wLuH4bVZUKAqxEWR/9zvbHQcxlz7sdSzOYwBY5KrB4dFPtv+ioiIpBNbGwMjW8XPyn445JvwfGSrMml+U9EE69atw9vbG19fX5o2bcqWLVv49ttvWbFihTmPecWKFfn666+ZMGECtWrVYsGCBeYbiiaoVasW77zzDh06dCBfvnxMmDABgJkzZ/Lcc8/RsmVLatasiclkYs2aNeaUIHFxcfTr14/SpUvTtGlTSpYs+USTC7p06UJcXBytW7embt263L9//7HbEhERERERycoMJpMpS+cDCQ0NxcPDg5CQkMxxwyyTCS7v49amr8h5cQO2hvjh+c/oxey4JiyOq809nM3VF/aqoZnoz1hMTAxr1qyhefPmynWazjQWGYfGIuPIyGMRGRnJhQsX8PPze6wbiyZYdyKQ0X+eIjDkf18ke3s4MbJVmQxzrxCj0UhoaCju7u5ZNtd4ZvG0xyKl4zrTXYeKiIiIiEiSMtyNRbM9gwEKVydn9994dfwimkf8SQfbLRS1CWK0zWzet/ud3+PqMjuuCbHuhZ/aT9ZFREQyqqblvGlUxot9F24THBaJp1t8CpenNQNdREREREREsjcF0TMoWxsDb7euS5957nwT246XbXfQw3YdxWwCectuLT1s13EzTwNsLzqA74vxwXcREZFswtbGoF9iiYiIiIiIyDOh3xdnYE3LeTO1cxXcPXIyL64RDaMn0j16GHsMlbA1mMh/bRPMbgk/vRR/c9IY5UcXERERERERERERSUuaiZ7BJfxkffe5YDbs2Evjl97i+eIfwa1/Ye9PcHQRXD8OK/rBxpFQ9U14vie4ZbEbsIqIiIiIiIiIiIikA81EzwRsbQxU98vNc3lNVE/I+ZrPH1pOhkEnoeFocC8IETdh+wSYXA6W9IIrB9K76yIiIiIiIiIiIiKZmoLomZ1LbnjxPRh4FF6bBYVqgDEGjv8OvzaAn+vCkQVK9SIiIiIiIiIiIiLyGBREzyps7aDsy9BzPfTaAhVfB1tHuHYYlveBr0vDplFw91J691REREREREREREQk01AQPSsqUAVengqDT0GDkfGpXu7fhp2TYUpFWPQGnN8CJlN691REREREREREREQkQ1MQPSvLkRdeGhyf6qXDfPCrAyYj/LMK5raFH6rB3p8hMjS9eyoiIiIiIiIiIiKSISmInh3Y2kHpltBtJfTdi/H5XsTZ5YCb/8LaoZi+Lg2rh8CNM+ndUxERkUwrICAAg8HAkSNH0rsrkoJRo0ZRqVKlVK1jMBhYvnz5U+mPiIiIiIhkfAqiZzPrgj144VgzKoZPYURMd84ZfTBEh8P+X+Jnps9uDadXQVxsendVREQkw9m9eze2tra0aNEiUVmhQoUIDAykXLlyabKtWbNmkTNnzjRpS/5nyJAh/PXXX+ndDRERERERyUQURM9G1p0IpM+8QwSGRBKOC3PjGtMweiJvRH/E+riqmLCBC9vgtzdgSgXYNgFCA9O72yIiIhnG9OnTeffdd9m+fTvXrl2zKLO1tcXLyws7O7t06p1Yw9XVlTx58qR3N0REREREJBNRED2biDOaGP3nKRLfStTALmM53okZzCsOP2J8YRA454bQq7BlDEwuC791hvObwWhMh56LiIhkDOHh4fz222/06dOHFi1aMGvWLIvyh9O5LFiwgNy5c1vUWb58OQaDwfz86NGj1KtXDzc3N9zd3Xnuuec4cOAAW7dupUePHoSEhGAwGDAYDIwaNQqAqKgohgwZQoECBciRIwfVq1dn69atKfb97t27vPXWW+TLlw93d3fq16/P0aNHAbhx4wZeXl6MHTvWXP/vv//GwcHBPGM7IQXKtGnTKFSoEC4uLrRv356QkBDzOkajkc8++4yCBQvi6OhIpUqVWLduXaLXZ+nSpdSrVw8XFxcqVqzI7t27Lfq6c+dOXnrpJZydnSlUqBADBgzg3r175nJfX1/Gjh3Lm2++iZubG4ULF+bnn3+2aOPKlSt06tSJ3Llz4+bmRr169di7d6/FviTYv38/jRo1Im/evHh4eFCnTh0OHTqU4uspIiIiIiLZi4Lo2cS+C7cJDIlMttwEHA51Z2/Rd2HwaXjlFyhcE0xxcPpPmPsyfP8c7PoW7t16dh0XERHJIH7//XdKlSqFv78/nTt3ZsaMGZhMib+eTo033niDggULsn//fg4ePMiHH36Ivb09tWrV4ptvvsHd3Z3AwEACAwMZMmQIAP3792f37t0sWrSIY8eO8dprr9G0aVPOnj2b7HZee+01goODWbt2LQcPHqRKlSo0aNCA27dvky9fPmbMmMGoUaM4cOAAYWFhdOnShf79+9OgQQNzG+fOneP333/nzz//ZN26dRw+fJi+ffuay6dMmcJXX33FpEmTOHbsGE2aNKF169aJ+vXxxx8zZMgQjhw5QsmSJenUqROxsfFp5M6fP0/Tpk1p164dx44d47fffmPnzp3079/foo2vvvqKqlWrmvvQp08fzpyJv7dLeHg4derU4erVq6xcuZLDhw8zYMAAjMlMBggLC6Nbt27s3LmTPXv2UKJECZo3b05YWFgqRlJERERERLIy/d44mwgOSz6AnqiefR6o0D7+cf0kHJgJRxfB7f9g4wjY/AWUbQtV34RC1YkzxQfpg8Mi8XRzoppfbmxtDI/cloiICCYTxESkz7btXcBg/efV9OnT6dy5MwBNmzYlJCSEbdu2Ubdu3cfuwqVLlxg6dCilSpUCoESJEuYyDw8PDAYDXl5eFvVnzpzJpUuX8PHxAeJzfK9bt46ZM2dazCZPsHPnTvbt20dwcDCOjo4ATJo0ieXLl7N48WJ69+5N8+bN6dWrF2+88QZVq1YlR44cjBs3zqKdyMhI5syZQ4ECBQD47rvvaNGiBV999RVeXl5MmjSJDz74gI4dOwLw5ZdfsmXLFr755ht++OEHcztDhgwx55QfPXo0ZcuW5dy5c5QqVYpx48bxxhtv8N5775lfj2+//ZY6deowdepUnJycAGjevLk5gP/BBx8wefJktmzZgr+/PwsWLODGjRvs37+f3LlzYzQa8fT0xN3dPckxqF+/vsXzn3/+mZw5c7Jt2zZatmyZ7NiJiIiIiEj2oSB6NuHp5vR49fKXhRaToOEoOLEEDkyHwKNw7Dc49hth7iWYFlGXWeHVCccFAG8PJ0a2KkPTct5pvBciIpLlxETAWJ/02fZH18Ahh1VVz5w5w759+1i2bBkAdnZ2dOjQgenTpz9REH3w4MG89dZbzJ07l4YNG/Laa69RrFixZOsfP36cuLg4SpYsabE8Kioq2TzfR48eJTw8PFH5/fv3OX/+vPn5pEmTKFeuHH/88QcHDx40B9wTFC5c2BxAB6hZsyZGo5EzZ87g4uLCtWvXeOGFFyzWeeGFF8xpYxJUqFDB/H9v7/hrheDgYEqVKsXRo0c5duwY8+fPN9cxmUwYjUYuXLhA6dKlE7WR8EVDcHAwAEeOHKFy5cqJUukk5/r163zyySds3bqV4OBg4uLiiIiI4NKlS1atLyIiIiIiWZ+C6NlENb/ceHs4ERQSmURedDAAXh7xs8iT5OgKz3WLf1w9CAdmEHdsMW6hZxnCWfo4zmFFXC3mxzXkVIgffeYdYmrnKgqki4hIljB9+nRiY2PNs78hPrjr6OjI999/j4eHR6J1bGxsEqV7iYmJsXg+atQoXn/9dVavXs3atWsZOXIkixYt4uWXX06yH+Hh4dja2nLw4EFsbW0tylxdXZNdx9vbO8m86Tlz5jT///z581y7dg2j0UhAQADly5dPsr0nZW9vb/5/Qn74hFQr4eHhvP322wwYMCDReoULF06yjYR2EtpwdnZOVX+6devGrVu3mDJlCkWKFMHR0ZGaNWsSHR2dqnZERERERCTrUhA9m7C1MTCyVRn6zDuEASwC6Qk/ZB/Zqox1aVgKPEecdxWanmxCrchNvGG7iZI2V3ndbguv223hiLEo8+MaMn6lgUZlvJTaRUREkmfvEj8jPL22bYXY2FjmzJnDV199RePGjS3K2rZty8KFC3nnnXcSrZcnTx7CwsK4d+8eOXLEz3hPuOnog0qWLEnJkiUZNGgQnTp1YubMmbz88ss4ODgQFxdnUbdy5crExcURHBzMSy+9ZFX/q1SpQlBQEHZ2dvj6+iZZJzo6ms6dO9OhQwf8/f156623OH78OJ6enuY6ly5d4tq1a+YvEvbs2YONjQ3+/v64u7vj4+PDrl27qFOnjnmdXbt2Ua1aNav6mdDXU6dOUbx4cavXeViFChX49ddfuX37tlWz0Xft2sWPP/5I8+bNAbh8+TI3b9587O2LiIiIiEjWoxuLZiNNy3kztXMVvDwsU7Z4eTiletb4vgu3ORtqy+y4JjSOnkD7qBGsiKtFtMmWSjb/MdH+Z1ZG9ST49/fg+qk03hMREckyDIb4lCrp8bAyH/qqVau4c+cOPXv2pFy5chaPdu3aMX369CTXq1q1Ki4uLnz00UecP3+eBQsWMGvWLHP5/fv36d+/P1u3buXixYvs2rWL/fv3m1OW+Pr6Eh4ezl9//cXNmzeJiIigZMmSvPHGG3Tt2pWlS5dy4cIF9u3bx7hx41i9enWS/WjYsCE1a9akbdu2bNiwgYCAAP7++28+/vhjDhw4AMTf7DMkJIRvv/2WDz74gJIlS/Lmm29atOPk5ES3bt04evQoO3bsYMCAAbRv396cs33o0KF8+eWX/Pbbb5w5c4YPP/yQI0eOMHDgQKteZ4jPb/7333/Tv39/jhw5wtmzZ1mxYkWiG4umpFOnTnh5edG2bVt27drFf//9x8qVK9m9e3eS9UuUKMHcuXM5ffo0e/fu5Y033kj1bHYREREREcnaFETPZpqW82bnB/VZ2KsGUzpWYmGvGuz8oH6q065Y3qjUwD5TaQbG9Kdm1PeMi+nERaMn7oYIvP+ZBVNrwi8N4NAciApP0/0RERF52qZPn07Dhg2TTNnSrl07Dhw4wLFjxxKV5cqVizlz5rBmzRrKly/PwoULGTVqlLnc1taWW7du0bVrV0qWLEn79u1p1qwZo0ePBqBWrVq88847dOjQgXz58jFhwgQAZs6cSdeuXXn//ffx9/enbdu27N+/3yLdyYMMBgNr1qyhdu3a9OjRg5IlS9KxY0cuXrxI/vz52bp1K9988w1z587F3d0dGxsb5s6dy44dO5g6daq5neLFi/PKK6/QvHlzGjduTIUKFfjxxx/N5QMGDGDw4MG8//77lC9fnnXr1rFy5UqLm6U+SoUKFdi2bRv//vsvL730EpUrV+bTTz+1SKPzKA4ODmzYsAFPT0+aN29OxYoV+eabbxKlv0kwffp07ty5Q5UqVejSpQsDBgywmIEvIiIiIiJiMD2crDOLCQ0NxcPDg5CQENzd3dO7O48tJiaGNWvW0Lx580R5QNPD7vO36PTLnmTLDRh5yeY4k4sfIc+Vv8AYG1/g4Arl2kGVblCgitWzADOSjDYW2ZnGIuPQWGQcGXksIiMjuXDhAn5+fjg5WXfD68zkzJkzlCpVirNnz1K0aFFCQ0PNQenMbtSoUSxfvjzJdDQZndFofKpjkdJxnVWuQ0VEREREsrvM/1edpIuEG5UmHwK34axbdXJ2/w0Gn4aGoyF3MYgOh0Oz4df6MPUF2DsNIm4/w56LiIikvdu3b7N48WLc3d0pVKhQendHRERERERE0pCC6PJYEm5UCiQKpCe6UamrJ7z4Hrx7ELqvgQodwM4Jgk/C2mHwVSlY8hZc2AFZ+4cRIiKSRfXs2ZNp06YxdepUHB0d07s7IiIiIiIikoYURJfHluoblRoM4PsCvPIzvP8PNJsI+ctBXBQc/wNmt4TvqsDOyRB2/RnuiYiIyJNZtmwZly5d4vXXX0/vrjwVo0aNypSpXERERERERNKCXXp3QDK3puW8aVTGi30XbhMcFomnmxPV/HLHz0BPiXMuqN4bqvWCa4fibzp6fDHc/g82jYLNX0DJpvG504s3AJukbwYmIiIiIiIiIiIi8jQpiC5PzNbGQM1ieR5vZYMBCjwX/2g8Bk4uiw+oX9kH/6yKf7gXgMqdodIbkKtI2nZeREREREREREREJAVK5yIZh6MrVOkCb22EPruhRt/4GeuhV2HblzClAsxqCUcXQXREevdWREREREREREREsgEF0SVjyl8Gmo6Dwf9Au+ngVwcwQMAOWPY2TCoJK/rDpT26GamIiIiIiIiIiIg8NUrnIhmbvROUfzX+cfdS/Cz0I/PhTgAcnhv/yFMcKr0OFTqCR4H07rGIiIiIiIiIiIhkIZqJLplHzsJQZxi8exi6r4aKr4O9C9w6B399Bt+Ug7mvwIklEBOZ3r0VERERERERERGRLEAz0SXzsbEB3xfjH80nwKkVcHg+XPobzv8V/3DygHKvQuU3wKdK/A1MRURERERERERERFJJM9Elc3N0g8qd4c218O4hqD0U3AtCZAgcmA6/1Icfa8Lf30F4cHr3VkREMiGDwZDiY9SoUendxSTFxMTwwQcfUL58eXLkyIGPjw9du3bl2rVrFvV8fX0T7dP48eOTbTcgICDZ1+KPP/5IVP/WrVsULFgQg8HA3bt3U+zz7t27qVSpEr6+vkyfPj1R+ZYtW2jevDl58uTBxcWFMmXK8P7773P16lXrXhQREREREZHHoCC6ZB15ikH9T+C9Y9BlGZR/Deyc4MZp2PAJfFUKFnSE039CbFR691ZERDKJwMBA8+Obb77B3d3dYtmQIUPSu4tJioiI4NChQ4wYMYJDhw6xdOlSzpw5Q+vWrRPV/eyzzyz26d1330223UKFClnUDQwMZPTo0bi6utKsWbNE9Xv27EmFChWs6nPPnj0ZMWIECxYsYNy4cVy+fNlcNm3aNBo2bIiXlxdLlizh1KlT/PTTT4SEhPDVV19Z1b6IiIiIiMjjUDoXyXpsbKFY/fjH/btwcikcWQBX9sO/a+MfTjmh3CvxNyMtVE3pXkREJFleXl7m/3t4eGAwGCyWZVQeHh5s3LjRYtn3339PtWrVuHTpEoULFzYvd3Nzs3qfbG1tE9VdtmwZ7du3x9XV1WL51KlTuXv3Lp9++ilr1659ZNv37t2jSpUqeHp6kitXLsLCwgC4cuUKAwYMYMCAAUyePNlc39fXl9q1az9yhruIiIiIiMiT0Ex0ydqcc0LVN+GtTdBvH7wwENy8IfIuHJgBMxrDt5Vh63i4/V9691ZERDKp3r1788ILL1ChQgVmzJhhUTZixAj8/f3p0qULoaGhrFixggoVKlC7dm2OHj2aYrvvvPMOrq6uKT5SIyQkBIPBQM6cOS2Wjx8/njx58lC5cmUmTpxIbGys1W0ePHiQI0eO0LNnT4vlp06d4rPPPmPOnDnY2Fh3yfnpp59SunRpPDw8qFGjBmXKlAHgjz/+IDo6mmHDhiW53sP7IyIiIiIikpY0E12ytDijiX0XbhMcFomnW16qNRiNbYORcGE7HPsNTq2EOxdg67j4R6HqUKEDlH0ZXHIn2d7eC7c5eNNAngu3qVncE1sbzWIXEXlS96LvJVtma2OLk52TVXVtDDY42zs/sm4OhxyP0cvkDR8+HD8/P27dukWxYsXo0KEDAOvWrePOnTscOHCAKVOm0K5dO27fvs3SpUsxGo307duXTZs2JdvuZ599lmbpYiIjI/nggw/o1KkT7u7u5uUDBgygSpUq5M6dm7///pvhw4cTGBjI119/bVW706dPp3Tp0tSqVcu8LCoqik6dOjFx4kQKFy7Mf/9Z90V1z5496dixI9HR0eTKlcu8/OzZs7i7u+Pt7W3l3oqIiIiIiKQdBdEly1p3IpDRf54iMCTSvMzbw4mRrcrQtFw9KFYPWnwFp1fBsUXw31a4vDf+se5DKNEYKnaM/9fO8aH2bJlz9sAD7emPehGRJ+E6LvkZ1c1LNGf166vNzz0neRIRE5Fk3TpF6rC1+1bzc98pvtyMuJmonmmk6fE7mwQ/Pz8A84xrkym+/SNHjtCtWzfc3Nz45JNPWLZsGcOGDaN48eIA5MmTh+joaBwcHJJs19PTE09PzyfuX0xMDO3bt8dkMjF16lSLssGDB5v/X6FCBRwcHHj77bcZN24cjo6OKbZ7//59FixYwIgRIyyWDx8+nNKlS9O5c+dU9zVHjhzkyGH5JYfJZMKg1GsiIiIiIpJOlM5FsqR1JwLpM++QRQAdICgkkj7zDrHuRGD8AoccULFD/I1IB5+Gxl9A/vIQFw3/rILfOsNX/lya8w4/z19EYMj9lNsTEZFs7cMPP6Rnz564uLgAULJkSdatWwfAxo0bMRgMjB8/nps3b3L37l2uX7+ebAAd0iadS0IA/eLFi2zcuNFiFnpSqlevTmxsLAEBAY9se/HixURERNC1a1eL5Zs3b+aPP/7Azs4OOzs7GjRoAEDevHkZOXLkI9t9WMmSJQkJCSEwUJ+3IiIiIiLy7GkmumQ5cUYTo/88RVJzDE2AARj95ykalfGyTMXi5gW13o1/BJ2In51+7A8ID6LwfwtZ6ggXjPlZHvciy4wvcsmUP+X2RETEauHDw5Mts7WxtXgePCQ42bo2Bsv5AQEDA56oX6mxcOFC9u7dy+7du83LXn75ZdavX0/hwoXx8fFhxYoVrF69mooVK+Ls7MyPP/6YYptPms4lIYB+9uxZtmzZQp48eR65zpEjR7CxsbFqBvz06dNp3bo1+fLls1i+ZMkS7t//3xfP+/fv580332THjh0UK1Ys1fvx6quv8uGHHzJhwgSLG4smuHv3rvKii4iIiIjIU6MgumQ5+y7cTjQD/UEmIDAkkn0XblOzWDLBBK9y4PUFNBzNqV1/cnrDLzS12Y+fzXUG2SxhEEs4YCzJ8rgXWB1XncAQUm5PRERSlJoc5U+r7pPYu3cvn376KVu2bMHZ2Rmj0QiAwWDgl19+sajbu3dvevXqZVV6kidJ5xITE8Orr77KoUOHWLVqFXFxcQQFBQGQO3duHBwc2L17N3v37qVevXq4ubmxe/duBg0aROfOnc05ya9evUqDBg2YM2cO1apVM7d/7tw5tm/fzpo1axJt++FA+c2b8Sl1Spcu/VjB7kKFCjF58mT69+9PaGgoXbt2xdfXlytXrjBnzhxcXV356quvUt2uiIiIiIiINRRElywnOCz5AHqq69nYctbted6PsWcEkTS2OcArtjt4weYEVW3+parNv4y0m8MOY3kcTnWEgp3B0c3qvlre+NSJan65NZtdRCQTeuuttwDMOcCnT5+e4qzvZ5Hf++rVq6xcuRKASpUqWZRt2bKFunXr4ujoyKJFixg1ahRRUVH4+fkxaNAgizzpMTExnDlzhogIyzz0M2bMoGDBgjRu3Pip7wtA3759KVmyJJMmTeLll1/m/v37+Pr60rJlS4v+ioiIiIiIpLV0DaKPGzeOpUuX8s8//+Ds7EytWrX48ssv8ff3N9c5f/48Q4YMYefOnURFRdG0aVO+++478ufPn449l4zM083pqdSLwInlxhdZbnwRT+7Q2vZvWtv+TQWbC9S3PQIHj8DR0eDfDMq/CsUbgl3yN2RL+canulGpiEhG1L17d7p3755o+fHjxy2eG41GQkNDn1Gvkubr62u+wWlyqlSpwp49ex6rnbFjxzJ27Fir+lK3bt1H9sUaDRs2pGHDhk/cjoiIiIiISGqk641Ft23bRr9+/dizZw8bN24kJiaGxo0bc+/ePQDu3btH48aNMRgMbN68mV27dhEdHU2rVq3MP5MWeVg1v9x4eziR3Bw/A/HB6mp+uR+7vWBy8WtcC1pHj6FB1CR+tW2PKXcxiL0PJ5fCotdhUglY+S5c2A7GOIs2rb7xqYiIiIiIiIiIiKSrx5qJfunSJS5evEhERAT58uWjbNmyODomP+M2OevWrbN4PmvWLDw9PTl48CC1a9dm165dBAQEcPjwYdzd3QGYPXs2uXLlYvPmzZqJJEmytTEwslUZ+sw7hAEsbjCaEAgf2aqM1WlTHtXefyYfCr78GYayXnDtMJxYEv8IC4RDc+Ifrl5Qrh2Ub0ecV+XHu/GpiIiIiIiIiIiIPHNWB9EDAgKYOnUqixYt4sqVKxY/yXVwcOCll16id+/etGvXDhubx5vgHhISAsTf7AogKioKg8FgEaB3cnLCxsaGnTt3JhlEj4qKIioqyvw84afUMTExxMTEPFa/MoKEvmfmfXiWGvjn5buOFflizT8Ehf7vePDycOTjZqVo4J83Va+lVe3FxoJneahfHuqOwHB5NzYnlmD4ZyWG8CDY8wPs+YFo1yJ0vPccKw01OW8qkGhbCTc+3X0umOpWzpbPrvS+yDg0FhlHRh6LmJgYTCYTRqMxy/+iLOE6KWF/Jf087bEwGo2YTCZiYmKwtbW1KMuI70MREREREUk9g8mKBJUDBgxg9uzZNGnShFatWlGtWjV8fHxwdnbm9u3bnDhxgh07drBo0SJsbW2ZOXMmzz//fKo6YjQaad26NXfv3mXnzp0A3Lhxg+LFi9OjRw/Gjh2LyWTiww8/5Pvvv6d3795MmzYtUTujRo1i9OjRiZYvWLAAFxeXVPVJMj+jCc6HGgiNAXd7KOZu4kkmdz9OezbGGDzDjlPg9m68Qg5jZ4o2l50w+rIirhar4moSiOUN6LqWiOO5vKnLH5vW+ysikpbs7Ozw8vKiUKFCODg4pHd3RNJEdHQ0ly9fJigoiNjYWIuyiIgIXn/9dUJCQsy/qhQRERERkczHqiD68OHDGTJkCHny5HlUVdatW0dERASvvPJKqjrSp08f1q5dy86dOylYsKB5+YYNG+jTpw8XLlzAxsaGTp06cerUKapVq8bUqVMTtZPUTPRChQpx8+bNTP3HS0xMDBs3bqRRo0bY29und3eytScai+hw/tu5mKs75/GSzXHsDf/Llb7fWJLVcTVYE1edYHIx782qqZqJvv7k9cQz5d0d+aR5KZqUzZo34tX7IuPQWGQcGXksIiMjuXz5Mr6+vjg5WXdz58zKZDIRFhaGm5sbBoO+zUxPT3ssIiMjCQgIoFChQomO69DQUPLmzasguoiIiIhIJmdVOpdx48ZZ3WDTpk1T3Yn+/fuzatUqtm/fbhFAB2jcuDHnz5/n5s2b2NnZkTNnTry8vChatGiSbTk6OiaZn93e3j7DBRMeR1bZj6zgscbCPhfFG71F90NFiQoJppntPlrb/k11m3943uZfnrf5l0/t5nLUpjQV77yJjU8bcPV8ZLPrTgTy7qKjifKsXw+N4t1FR5nauQpNy3mnrq+ZiN4XGYfGIuPIiGMRFxeHwWDAYDA8duq3zCIhbUh22NeM7mmPRcIxndR7LqO9B0VERERE5PFY/ZfE/fv3WblyJWFhYYnKQkNDWblypcUMcGuYTCb69+/PsmXL2Lx5M35+fsnWzZs3Lzlz5mTz5s0EBwfTunXrVG1LJKNIuFHpHdxZENeQDtGfUiPyOz6L6cJBYwlsDCYqm05hs3YIfOUPs1rCgRlw72aS7cUZTSneqBTib1QaZ0xdahgRkbSWEFCMiIhI556IpJ2E41kBcxERERGRrMvqG4v+/PPPrFy5Msngtbu7O99++y2XL1+mX79+Vm+8X79+LFiwgBUrVuDm5kZQUBAAHh4eODs7AzBz5kxKly5Nvnz52L17NwMHDmTQoEH4+/tbvR2RjKZpOW+mdq7C6D9PERgSSRB5mBHXjLWuLzOuQU7qxv4NJ5fB1YMQsCP+sXoI+NWGsi9D6VbgEp/qZd+F2wSGRCa7rYQble67cJuaxR6dkklE5GmxtbUlZ86cBAcHA+Di4pJlU50YjUaio6OJjIzUTPR09rTGwmQyERERQXBwMDlz5kx0U1EREREREck6rA6iz58/nxEjRiRb/t577/HZZ5+lKoiekNO8bt26FstnzpxJ9+7dAThz5gzDhw/n9u3b+Pr68vHHHzNo0CCrtyGSUTUt502jMl7su3Cb4LBIPN2cqOaXG1sbA/Ac1HoX7gTAyeXxAfXAI/DflvjH6sFQtC6UfYU7MZWt2l5wWPKBdhGRZ8XLywvAHEjPqkwmE/fv38fZ2TnLflGQWTztsUhINSgiIiIiIlmX1UH0s2fPUrFixWTLK1SowNmzZ1O1cSvuacr48eMZP358qtoVySxsbQwpzw7P5Qsvvhf/uHUeTi2HE8vg+nE4twnObaKpjT2/2pdjdVwNNhmfIwyXJJvydMvaN/ETkczBYDDg7e2Np6cnMTEx6d2dpyYmJobt27dTu3ZtpflIZ09zLOzt7TUDXUREREQkG7A6iB4bG8uNGzcoXLhwkuU3btwgNjY2zTomIg/JUwxeej/+cfPs/89QX4pN8Cka2h6moe1hokx2bDdWYF1cNTYaqxCKKwbAyyN+lruISEZha2ubpYOPtra2xMbG4uTkpCB6OtNYiIiIiIjIk7I6iF62bFk2bdrEc889l2T5hg0bKFu2bJp1TERSkLcE1Bka/wj+h3Nb5sDJZRS3uUYj20M0sj1EjMmW3cYyrDVWp2HjN/8/TYyIiIiIiIiIiIikhtV3V3rzzTf5/PPPWbVqVaKyP//8kzFjxvDmm2+maedExAqepSjeYSznXvuLN+wnMzmmHaeNhbA3xFHb9jjj7H+lwaoXYVZL2PszhAamd49FREREREREREQyDatnovfu3Zvt27fTunVrSpUqhb+/PwD//PMP//77L+3bt6d3795PraMikrKm5X1oVLYH+y604d+wSCJN16gYth2b0yvjb0oasCP+sXYoFKoOpVtDmdaQM+kUTSIiIiIiIiIiIpKKIDrAvHnzaN26NQsWLODff//FZDLh7+/P6NGjad++/dPqo4hYyfJGpQWA56H2+3AnAE7/CadWwpV9cHlv/GPDx+BdCcq0iX/kKWZuK85oYt+F2wSHReLpFp9TXSlhREREREREREQku0lVEB2gffv2CpiLZDa5fKHWu/GP0GtwehWcXgkXd8XPUg88An+NBs+yUKYNO+1rMnRbNIGhUeYmvD2cGNmqDE3LeafXXoiIiIiIiIiIiDxzqQ6ii0gm5+4D1XvHP8JvwD//H1C/sB2CT0LwSV4E5hm92WBXlQ1xVTliKkZQSCR95h1iaucqCqSLiIiIiIiIiEi2YfWNRfft20fZsmUpVqwYixYtepp9EpFnxTUfVO0BXZbBkLMYW//ATpuqRJnsKGYTSB+7P1nmOJI9jv353G46tW2OMmblUeKMpvTuuYiIiIiIiIiIyDNh9Uz0Pn368Pnnn1O5cmXKly/Pyy+/jKOj49Psm4g8Sy652evRjM4RuXAlgro2R2lse4B6NkfIb7hLZ7u/6MxfhEY5c2dOA/JWbQfFG4KTe3r3XERERERERERE5KmxOoh+69YtChYsSP78+YmKiiIiIkJBdJEsJjgsEoBwXFhlrMkqY00ciKGmzSka2xygke1BPA13IWBV/MPWAfzqQKkW4N8c3PIn27ZuVCoiIvJ/7d17XJR1+v/x9z0DDKKAIiKggCgKIornU2Ue0rSy2tptK+30a9vW1MzKNqtN3S3dtrbDty1td8tqzc7aWc3KY55PqaGoiOIBREVB5CAw9++PEXSEUYYz+Ho+Hp8HzD2f+dzXcDUzcHn3uQAAAADUR+Uuoj/99NMaPXq0mjVrpnvuuUfNmjWrzrgA1IIgX+9Sx87IU8vs8Vpmj9czhfepq5Gkf3U/pFapP0oZSdKexY7xzUQprLejoB5zg9S8XckaC7enatrXCUrNzCs5RqNSAAAAAAAA1AflLqI/8MADGj58uLKystSpU6fqjAlALekdGaAQf2+lZeap7F3PLUrz66zgWydIhqRjuxyNSXd+Kx3aKB1Y6xiLn5VaxEgx12uVZ1899F2+7Be0YKBRKQAAAAAAAOqDchfRJSksLKy64gBQB1gthqaMjNWYOZtkSE6F9OKNV6aMjD23DUuLaMe46jEp85CU+J2joL5vhXR0p3R0p/pLWmVrpp+KuukHe3f9bI9Tvrxknl1z2tcJGhobzNYuAAAAAAAAqJMsl54inT592q1F3Z0PoO4YHheimaO7K9jfeWuXYH/vi1817t9K6v2AdPcX0qQk6Zb/6nj4CJ02bQo2TuhOj5/0jtdL2mL7o/7j+ZJ+b12iQJ1Qamae1iVnVP8TAwAAAAAAACqgXFeiR0VFacKECbrnnnsUElJ2Ac00Tf3www96+eWXNWDAAE2ePLlKAwVQc4bHhWhobHDFG4E2aip1+Z1W2vvriV3r1NeyQ0MsmzTEukmtjOMaat2kodZNkqe0xd5WtvXXS41/L7WMk4zynaPIbmptcoY2HjPUPDlD/aKCuJodAAAAAAAAVa5cRfSlS5fqqaee0tSpUxUfH6+ePXsqNDRU3t7eOnHihBISErR69Wp5eHho8uTJevDBB6s7bgDVzGox1K9d80qtEeTrrXx5lTQmfbbwXnU0UjTEsknXWDeqq2Wvulr2Sjtfdwy/1lL0cKnDCCnyKsnDVua6zo1KrXp/9wYalQIAAAAAAKBalKuIHh0drc8//1wpKSn69NNPtWLFCq1atUq5ubkKDAxUt27d9J///EcjRoyQ1Wqt7pgB1BOlG5Ua2mFGaEdRhP5V9BsF6YRubrJdk9vuk7F3qZR1UFr/X8fwbCxFDXYU1DtcKzUOlOQooI+Zs6lU41MalQIAAAAAAKA6uNVYNDw8XI899pgee+yx6ooHQANyqUalR9VM3W+eICMuRCrIlfYuk3YtkHYtkk6lSju+dgwZUutesncYrjkrmspUS51rdepAo1IAAAAAAABUB7eK6ADgruJGpee2X3EIvnD7Fc9Gjq1coodLpimlbpESF0qJ30lpW6WD62Q5uE5zJKXaArSkKF5L7N30sz1OOXI0QTWlkkalld2KBgAAAAAAAJAoogOoAW43KjUMKbSbYwyaLGUeknYtVOrGr+WfukohRobu9FiiO7VE+aaH1tljtMTeTUvsXZVshij9VF7Z6wIAAAAAAABuoogOoEZUqlGpfyup1/3aF3Cz7v3PcvWx7NAgyxYNtmxWhCVdV1m36yrrdj2r/ynZ3lLeO0dITUZKEVdKnt7lOkWR3Sx/kR8AAAAAAACXDYroAOqN3pEBCvD304rMeC23x2ua7lakkabBls0aaNmiPpYdirQckXa+6xiePlLk1VL7oVL7YVLTsDLXXbg9tdR2MyEXbjcDAAAAAACAyxJFdAD1RulGpYaSzRC9XRSid4quU2Pl6v1Bueqev17avVg6dfhso9IFjgWCYs8W1K+VwnpLVk8t3J6qMXM2OTU9laS0zDyNmbNJM0d3p5AOAAAAAABwGatwET0nJ0cpKSk6c+aM0/EuXbpUOigAcOXijUq7q3tciKS7HM1Jj2yXdn8v7fpeOrhOSk9wjJ9fk7x8ZUYO0C9JrdXKiNVBs4XTeUxJhqRpXydoaGwwW7sAAAAAAABcptwuoh89elT33XefFixYUOb9RUVFlQ4KAC6muFHp6j3p+n7FWg27qo/6RQU5F7oNQwru7BhXPSblZEhJPzmK6nt+kHKOy0j8Vn+W9GeblGQP0XJ7Fy2zd9Eae6zyZJMpKTUzT+uSMyq+nzsAAAAAAADqNbeL6I888ohOnjyptWvXauDAgZo/f76OHDmi5557Tv/85z+rI0YAKMVqMdQnMkDHd5jqU54moD4BUuffOobdLqVu0Y6V83Xq10XqbuxWO0uq2llSdZ8WKd/01Dp7tJbZ47Xc3kXpWfFux0ejUgAAAAAAgIbB7SL6Tz/9pC+//FI9e/aUxWJRRESEhg4dKj8/P82YMUPXX399dcQJAFXHYpFaddfJnhG6Y3Nf+SpH/S3bdbVlqwZYt6q1cUxXWbfrKut2SR8of/ErUso1UrshUtuBjoL8RdCoFAAAAAAAoOFwu4h++vRpBQUFSZKaNWumo0ePqkOHDurcubM2bdpU5QECQHXpHRmgEH9vpWVKi+y9tcjeWyo01c44rAGWrbraslX9rDtky0mTNs9xDMMiteohRZ0tqrfqLlmsJWvSqBQAAAAAAKBhsbj7gOjoaCUmJkqS4uPj9dZbb+nQoUOaNWuWQkIoDAGoP6wWQ1NGxkpyNBHV2e+SzFZ6t2iE7iv4s5b9Zp00ep7Ub5zUoqNk2qWD66WlM6S3r5H+0Vb69F5p0/9UdPKQpn2dUKqALqnk2LSvE1RkL2sGAAAAAAAA6iK3r0SfMGGCUlNTJUlTpkzR8OHD9cEHH8jLy0vvvvtuVccHANVqeFyIZo7uXmr7leCz268MiwuRFClFDZGufV7KPOhoULrnB2nvUinvpPTrfOnX+bJKet/eSis94rTSHqe19o7Klk/JmjQqBQAAAAAAqH/cLqKPHj265PsePXpo//792rlzp8LDwxUYGFilwQFATRgeF6KhscHlawTq31rqfrdjFBVKhzZKST9Ke36UeWiT2lsOqb3lkO7TIhWaFm0xo7TSHqeVRXHaYkapUB5KP5VXet2LoEkpAAAAAABA7XGriF5QUKCYmBh988036tixoyTJx8dH3bt3r5bgAKCmWC2G+1eHWz2k8D6OMegprU/Yq7fnvKcrLdt1pWWbIi1H1NPYpZ6WXXrEY56yTW+tsXdUu4M3SKE3SC2iJePixXCalAIAAAAAANQut4ronp6eystz7wpKALhc9IiJ1ATfAfo+s7dMSa2No+pv2a6rLNvU3/KrmhundI11s7Rhs7Thb1KTYKntQKndICnyasnPuShOk1IAAAAAAIDa53Zj0bFjx+qFF15QYWFhdcQDAPXWhY1KD5ot9EnRII0veFi98mfq+vzp2tl5ktRusOThLWWnSVs/kuY/KL0cI73RV1rwpJS4UEW5WTQpBQAAAAAAqAPc3hN9/fr1+vHHH/X999+rc+fOaty4sdP98+bNq7LgAKC+cdWotKW/j8aPvEUxxVeOF+RJB9ZKe5c4GpQe3iId3eEYa2fKMDz0WlE7/WyN08/2TvrFjFLBeW/ZNCkFAAAAAACoGW4X0Zs2bapbb721OmIBgAahXI1KPb2ltlc7hiTlZEjJyx0F9b1LZDmxT70tieptSdREfa4c06YN9g5abe+kVfZYbTcjVSSr201KJRqVAgAAAAAAuMPtIvrs2bOrIw4AaFDcblTqEyB1utkxJG3aslmffDpHV1q2qa9lhwKNLA2wbtMA6zZJ0imzkdbZY9TuwAip5XCpZWfJcukdumhUCgAAAAAA4B63i+gAgOoX36Wrxi7I0MeZg2XKVAfjoPpbflU/S4L6WhLkb+RoiHWztHGztHG61KiZFHGFo0Fp5FVSixjJcL66nEalAAAAAAAA7nO7iB4ZGSnDcP2//e/du7dSAQEAzjUpHTNnkwwZ2mWGaVdRmN4tGi6r7Opo7NdLvTIVk7tF2r9Kyj0h7fzGMSSpcZDU5kopcoAUOUBFTSMv2qjUkKNR6dDYYLZ2AQAAAAAAOI/bRfRHHnnE6XZBQYE2b96shQsXatKkSVUVFwBc9lw1KQ3y99G4kbeea1JaVOBoTLpvuWNf9ZS10ul06dd5jiGp0CdYj+dEaY01VquKOumQWjidi0alAAAAAAAAZXO7iD5hwoQyj7/xxhvasGFDpQMCAJxTrialVk8prJdjXPWYVJgvHdroKKgnr5AOrpMtJ023WtN0q3Wl5Cml2FtondlRa+0xWmPvqANmkCSjQo1KAQAAAAAAGrJLd6ErpxEjRujzzz936zEzZsxQr1695Ovrq6CgIN18881KTEx0mpOWlqa77rpLwcHBaty4sbp37+72eQCgPituUnpT11bq1675pbdb8bBJEf2lgU9K930rPZmiX6/5n14vvFkb7e1VaFoUbjmq31qX60XPf2uFbaJW28brVc9/KS51nnR0l2SWtfFL2YrsptYmZ2jjMUNrkzNUZC//YwEAAAAAAOq6Kmss+tlnnykgIMCtxyxbtkxjx45Vr169VFhYqKeeekrDhg1TQkKCGjduLEm6++67dfLkSX311VcKDAzU3Llzddttt2nDhg3q1q1bVYUPAA2XZyPF9B+pP6xorJcz8+SjXPWw7FIfyw71tuxUvJGkECNDN1tXSWtXSWufkRq3cBTiI66U2lwhtegoWUr/u+vC7annbTdj1fu7NyjE31tTRsbSpBQAAAAAADQIbhfRu3Xr5tRY1DRNpaWl6ejRo3rzzTfdWmvhwoVOt999910FBQVp48aNGjBggCRp1apVmjlzpnr37i1JeuaZZ/TKK69o48aNFNEBoJzOb1Sao0Zabo/Xcnu8JKmR8tXNskd/jT+pqNyt0sH10umjUsKXjiFJjZpJ4f0dhfU2V0jBXbQwIV1j5mwq1aw0LTNPY+Zs0szR3SmkAwAAAACAes/tIvpNN93kVES3WCxq0aKFBg4cqJiYmEoFk5mZKUlOV7T3799fH3/8sa6//no1bdpUn3zyifLy8jRw4MBKnQsALjeuGpU29ffX3SPvUlRxwbswXzq0Sdq/Utr3s3RgnZR7Qkr81jEkmTY/+RVE6UFrB62zx2ir2VaFZz9STEmGpGlfJ2hobPClt58BAAAAAACow9wuok+dOrUawpDsdrseeeQRXXHFFYqLiys5/sknn+j3v/+9mjdvLg8PD/n4+Gj+/PmKiooqc538/Hzl5+eX3M7KypIkFRQUqKCgoFpirwnFsdfn59BQkIu6g1y4b0h0oAa2v0ob9p9Q+ql8Bfna1DOimawW47yfo0UK7ekY/R6RigpkpG2VkfKzjJTVMg6skZGfpf7apP6emyRJOaZNG+3ttd4eo/VmtLbY2yk1U1q9J119It3b6guVw+uibiAPdUdt5oL8AwAAAA2DYZpudI+TZLValZqaqqCgIKfjx48fV1BQkIqKiioUyJgxY7RgwQKtXLlSrVu3Ljk+fvx4rVu3TtOnT1dgYKC++OILvfLKK1qxYoU6d+5cap2pU6dq2rRppY7PnTtXPj4+FYoNAHAe067DqQd09OC5fdWbGdlOUwpNi7abbZTj10EeLdoro3EH5Xv6l2t5uyklZRnKKpD8PKV2fqa4mB1AfZSTk6M777xTmZmZ8vPzq+1wAAAAAFSQ20V0i8WitLS0UkX0w4cPq127dsrNzXU7iHHjxunLL7/U8uXLFRkZWXI8KSlJUVFR2r59uzp16lRy/JprrlFUVJRmzZpVaq2yrkQPCwvTsWPH6vUfLwUFBVq8eLGGDh0qT0/P2g7nskYu6g5yUXvWJmdo9DsbJEmG7GpvHFIfyw71tOxSL8tOhRoZpR5jBrSV2bqv7GF9ZIb1kQLaSYZzdXzRr0f03Hc7lZZ17n082M+mZ66L0bWdWlbvk2ogeF3UDeSh7qjNXGRlZSkwMJAiOgAAAFDPlXs7l//7v/+TJBmGof/+979q0qRJyX1FRUVavny523uim6ap8ePHa/78+Vq6dKlTAV1yXL0jOQr357NarbLb7WWuabPZZLPZSh339PRsEH/ENpTn0RCQi7qDXNS8flFBCvH3VlpmnkxZtMsM066iMP2vaJgkqZWO6ZomezWl6ylZUtZI6QkyMvbKyNgry9a5jkV8AqXwvlJ4Pym8nxZltND4j7aValR6JCtf4z/6hUalbuJ1UTeQh7qjNnJB7gEAAICGodxF9FdeeUWSo/A9a9YsWa3Wkvu8vLzUpk2bMq8Mv5ixY8dq7ty5+vLLL+Xr66u0tDRJkr+/vxo1aqSYmBhFRUXpwQcf1EsvvaTmzZvriy++0OLFi/XNN9+4dS4AQNWxWgxNGRmrMXM2yZCcCt+GpMMKVL+bh8lSXPTOPSEdWC+lrJZS1kiHNko5x6Sd3ziGpKvlpQ88o7TejNYGe7Q226OULR8alQIAAAAAgFpV7iJ6cnKyJGnQoEGaN2+emjVrVumTz5w5U5I0cOBAp+OzZ8/WvffeK09PT3333Xd68sknNXLkSGVnZysqKkrvvfeerrvuukqfHwBQccPjQjRzdHdN+zpBqZl5JceD/b01ZWSs81XjjZpJHYY5hiQV5kuHt5QU1Qv2rZb3mZPqb01QfyVIkopMQzvNcK23R2uTvYM2ZbXXur3H1S8qsAafJQAAAAAAuNyVu4hebMmSJVV28vJsx96+fXt9/vnnVXZOAEDVGR4XoqGxwVq9J13fr1irYVf1Ub+ooEtfLe5hk8L7OIak7zYf0OuffKdelkT1tCSql5GocMtRdTL2q5Nlv+7V95KkvE//JrXtJ7XuLYX1lkK6Sp7eLk9TZDe1LjlD6afyFOTrrd6RAVzJDgAAAAAA3OJ2EV2SDh48qK+++kopKSk6c+aM030vv/xylQQGAKgfrBZDfSIDdHyHqT4VLFIH+floj9lae4pa68OiIY5jOuEoqFsS1c2yW52M/fLOPybt+NoxJMniKYXES2F9pLBejuK6fytJ0sLtqaWukg8p6yp5AAAAAACAi3C7iP7jjz/qxhtvVNu2bbVz507FxcVp3759Mk1T3bt3r44YAQANXO/IgPMalTqkq5m+s/fVd/a+MiRF+Bn68Q5/WQ+tlw6ulw6slU4flQ5tcIw1Zx/o11qpfp21LjlQQfb2OqY2Kjj7cZeWmacxczbRpBQAAAAAAJSb20X0yZMn6/HHH9e0adPk6+urzz//XEFBQRo1apSGDx9eHTECABq4SzUqlaQnb+wma2SIFHmF44BpSif2nSuoH1gnHflVyjqokKyDetbTMS3P9NRWs6022dtrs729Ntnb06QUAAAAAACUm9tF9B07dujDDz90PNjDQ7m5uWrSpIn++te/6qabbtKYMWOqPEgAQMPnVqNSSTIMKSDSMbrc5jiWn61fNyzVt999qR6W3epu2a1mRrZ6G4nqbUkseWhKbgudeL+vAmOukFr1lEK6OPZpBwAAAAAAuIDbRfTGjRuX7IMeEhKipKQkderUSZJ07Nixqo0OAHBZKW5UWuFmoLYm2tO4m94sMqQiSTIVaaSph2WXuhuOonoH46DCLUelfV87huTYWz24s9S6p6Oo3rqnFNDWUag/D41KAQAAAAC4/LhdRO/bt69Wrlypjh076rrrrtNjjz2mbdu2ad68eerbt291xAgAuIxYLYb6tWte4ccH+Xqfd8tQshmi5KIQfaarJUm+ylG8JUnTe+UrPOdXx37qOcelw5scQ/92PLRRM6lVj5Ki+o9ZrfTM96k0KgUAAAAA4DLjdhH95ZdfVnZ2tiRp2rRpys7O1scff6z27dvr5ZdfrvIAAQBwR1lNSs+XLR8l+fZSq5sGSxbDsbf6yf3SwQ3SoY2Or6m/SLknpD0/OIakIZLa2Vtqi2c7bbFHaYs9SjsyI2hUCgAAAABAA+dWEb2oqEgHDx5Uly5dJDm2dpk1a1a1BAYAQEWUp0nplJGx57ZhMQypWRvH6Pxbx7HCM9KR7dKhjbIfXK8D21YowjysNpYjaqMjutm6SpKUb3pohxmhXfOjZS+6WRYX28AAAAAAAID6y60iutVq1bBhw7Rjxw41bdq0mkICAKBy3G5SeiEPL6lVd6lVd61tfovuWLdGfspWV0uSuhpJ6mrZo66WPQowsh23i5Kk+d85HuvtL4V2k0K7n/3aTfJvTWEdAAAAAIB6yu3tXOLi4rR3715FRkZWRzwAAFSJSjcpPSv9lKMIn6UmWm6P13LFlzQtDTfSS4rqN7dIVUDWDikvU9q71DGKNW5RurDu27KqnioAAAAAAKhGbhfRn3vuOT3++OP629/+ph49eqhx48ZO9/v5+VVZcAAAVEZlm5RKFzYqPZ+hFLOlUsyW+sreXx1v6Kt+Eb5SeoJ0ePPZsUk6kiCdPirt/t4xivm1khnSVQcaxeigT4w8W3dX95h2bhf5z1dkN7U2OUMbjxlqnpyhflFBlVoPAAAAAABUoIh+3XXXSZJuvPFGGef9r+mmacowDBUVFVVddAAA1LJLNSo15NgmpndkgKNRaWhXx9B9jgkFuVLadufC+tFEKeuQjKxDCte3Cj+71kG1lLV1d4V07Oe4aj0kXvIu3z9OL9yeet72NVa9v3uDQsq7fQ0AAAAAAHDJ7SL6kiVLqiMOAADqJLcblV7Is5EU1ssxzlq8ZY/+8/GX6mxJUhdLsroYSYq0HFFrHZEOLnCM4jMEtj+3BUxodym4s+Tl43SKhdtTNWbOplJF/rTMPI2Zs0kzR3enkA4AAAAAQAW5XUS/+uqrqyMOAADqrEo3Kj1Pkd3Uswv2K9WM0bqimLP7q0t+ylacZZ/ijb3qZdunQb4HZWQelI7tcoytHzsmGhYpsIPjKvWQeBW17KKXvjohU9ZS5zLlKPRP+zpBQ2OD2doFAAAAAIAKcLuILkkrVqzQW2+9pb179+rTTz9Vq1at9L///U+RkZG68sorqzpGAABqXVU1Kl2XnOFUiC+WpSZaZY/TKsVpZo704ai+6tfSLqVukQ5tOrcVTPYR6ehOx9j6saySfpCU7NVSv5qR2m5vo1/NNtpub6MT8pMpKTUzT+uSMyq9PzwAAAAAAJcjt4von3/+ue666y6NGjVKmzZtUn5+viQpMzNT06dP13fffVflQQIAUBdURaPS9FOlC+gu57VrJbUf6hjFTqVJqb+UjJz9G+WTm6pIyxFF6ohusK4pmXrIbK5f7W203R4pY/dJqcVgyTdYMi5d+C+ym5X+B4PqXA8AAAAAgJridhH9ueee06xZs3T33Xfro48+Kjl+xRVX6LnnnqvS4AAAaGiCfL0rN8832DE6XCtJ+iXpuMb8Z7E6WfYpztinOEuyOhn71NaSplbGcbWyHtcw60ZpzWfSGkmNg6SQLiXbwSgkXmoa4VRYd25S6lCZJqVVvR4AAAAAADXJ7SJ6YmKiBgwYUOq4v7+/Tp48WRUxAQDQYPWODFCIv7fSMvNKNQKVHHuYB/s7rtQu73qN/FtoVaavflbnkj3WmyhHscZ+xVn2qaftgEYEpss4ulM6nS7t+cExinn7lxTUfykM1z9XmEo3Q6Tz9lmvaJNSmp4CAAAAAOo7t4vowcHB2rNnj9q0aeN0fOXKlWrbtm1VxQUAQINktRiaMjJWY+ZskiE5FZeLrwWfMjK23FuduFovWz5ab3bU+qKO6n1LdxlxIdKZHCk9wbHPevGWMEcSpLxMKXm5lLxc8ZIW26Q801OJZpgS7BHaYYYrwR6hRDPcrSalRXZT075OKPMfC2h6CgAAAACoL9wuoj/wwAOaMGGC3nnnHRmGocOHD2v16tV6/PHH9Ze//KU6YgQAoEEZHheimaO7l9riJLiCW5yUez0vH6l1T8coVnjG0aQ09RelJa7VoR1rFGOkqLGRr3hjr+Ite53OtT83SCdnd1Xzdj2k4M5SyzipaXiZ+6y7aqJajKanAAAAAID6wO0i+pNPPim73a4hQ4YoJydHAwYMkM1m0+OPP67x48dXR4wAADQ4w+NCNDQ2uMqabRavt3pPur5fsVbDruqjflFBl17Pw+vsHuldtNYyWBN+2SJDdkUYR9TRSFGsZb86GvsVa9mvUCNDEZZ06cD3jlHM5i8Fx50rqgfHSS06utdE1U00KgUAAAAA1BS3i+iGYejpp5/WpEmTtGfPHmVnZys2NlZNmjSpjvgAAGiwrBajSq/AtloM9YkM0PEdpvpUoKhc3MzUlEX7zBDtM0O0wN6n5P6mOqWOlhTN6Ce1KUyW0rY5rmLPz5T2/+wYxQyrhvq10yueLbTDHq4Es4122MN1XP4uz1teNCoFAAAAANQkt4voxby8vOTr6ytfX18K6AAANACXanqaKV/t8+2hsOsHS8UF+sIz0rFEKW27o6h+ZJvja+4J+WTu0m+su/Qb67nierrZVAn2CO00w7TLHqZjjaPUO6xxuWOkUSkAAAAAoKa5XUQvLCzUtGnT9H//93/Kzs6WJDVp0kTjx4/XlClT5OnpWeVBAgCA6lehpqceXo5tXII7S7rDccw0pazD0pHt2vXLKu3eulqxxn5FGEcUZJxUkPWkBuoXx9wCSTOekJpHSS1jpaBOUstOju/9wyWLpeRUNCoFAAAAANQGt4vo48eP17x58/SPf/xD/fr1kyStXr1aU6dO1fHjxzVz5swqDxIAANSMKml6ahiSfyvJv5U6dLhWezum6s6vE5SZeVIxRopiLAfU3XZYgwOOKiB7j5R30nE1+7FE6df559bxaiIFdZSCYqWWnbSzsLVyM09J8i3ztDQqBQAAAABUB7eL6HPnztVHH32kESNGlBzr0qWLwsLCdMcdd1BEBwCgnquupqdlrld81Xp6gnTk17NfExwF9TPZ0sH1jiGpk6Qt3lKa2UyJ9jDtNMOUaA9TohmuPWao8uUlqfYblRbZTa1NztDGY4aaJ2eUr8ErAAAAAKDOcruIbrPZ1KZNm1LHIyMj5eXlVRUxAQCAWlYdTU/LXO+8q9bVfui540UF0vEkKf1XR1E9PUF5h7bJO/uAgo0TCrae0NXaWjK90LRonxmsnWaYuiT3l2w9pBYdpYBIyWK9aGxV2ajUeS2r3t+9gaanAAAAAFDPuV1EHzdunP72t79p9uzZstlskqT8/Hw9//zzGjduXJUHCAAALkNWTykoxjHibpUkedpNDfn7t/I/tVvRlgOKNg4o5uzXZka2oozDitJh6Ze1Kt5yXVabFNjBsU6LGMf2MC1ipGZtJIu1ShuV0vQUAAAAABomt4vomzdv1o8//qjWrVsrPj5ekvTLL7/ozJkzGjJkiG655ZaSufPmzau6SAEAwGXNajE06cYeGjPH0OaiDucVq0211EnFWFI0uYddMZaDjm1hju6SCnOlI9sc43we3jID20vpzTTGGqJdZmvtMlvrgNlCpixuNyql6SkAAAAANFxuF9GbNm2qW2+91elYWFhYlQUEAADgStmNTw1Z/EN0x8ghijn/Sm+7XTq5Xzq6U0rfce7rsV1SYZ6MtG0aLmm457mH5Jpe2mOGapfZWrvtrbX7VCv9sjVA3bvESxaLy7jWJWc4bQdzIZqeAgAAAED95XYRffbs2dURBwAAQLmUu/GpxeLYEz0gUoo+1xBd9iLpxD6tXfezlq1coQ6Wg+pgHFI747AaGWfU2dinztonFW+l/sU/pW99zm4L0/HctjCBHaSm4ZLFWu5mphVpegoAAAAAqF1uF9EBAABqW6Uan1qsUvN2sndoqjeXNZeKzq6pIoUb6epgHFR746A6WBxfoz2OyFKQI6VucYzzeXhLzaN0hXcbTbDatMdspSQzVMl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      "text/plain": [
       "<Figure size 1500x1200 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Resultados individuales:\n",
      "I = 0.5002 A: T₂∞ = 41.07 °C, τ = 25.59 min, T₁_final = 17.20 °C, Q̇ₚ = 7.61 W\n",
      "I = 1.0000 A: T₂∞ = 37.08 °C, τ = 12.69 min, T₁_final = 17.60 °C, Q̇ₚ = 13.36 W\n",
      "I = 1.5000 A: T₂∞ = 32.20 °C, τ = 21.41 min, T₁_final = 18.10 °C, Q̇ₚ = 21.22 W\n",
      "I = 2.0000 A: T₂∞ = 29.59 °C, τ = 15.53 min, T₁_final = 18.50 °C, Q̇ₚ = 28.21 W\n",
      "I = 2.5000 A: T₂∞ = 25.74 °C, τ = 24.92 min, T₁_final = 19.20 °C, Q̇ₚ = 37.80 W\n",
      "Coeficiente de correlación de Pearson r: 0.997\n",
      "\n",
      "Coeficiente Peltier del módulo obtenido: π_M = 14.540 V\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.optimize import curve_fit\n",
    "\n",
    "# Modelo exponencial para el ajuste de T₂(t): T₂(t) = T_inf - (T_inf - T₀)*exp(-t/τ)\n",
    "def modelo_exponencial(t, T_inf, T0, tau):\n",
    "    return T_inf - (T_inf - T0) * np.exp(-t/tau)\n",
    "\n",
    "# Datos experimentales: (I, matriz de datos)\n",
    "# Cada matriz tiene columnas: [tiempo (min), T₁ (°C), T₂ (°C)]\n",
    "datos = [\n",
    "    (0.5002, primera_intensidad),\n",
    "    (1.000, segunda_intensidad),\n",
    "    (1.500, tercera_intensidad),\n",
    "    (2.000, cuarta_intensidad),\n",
    "    (2.500, quinta_intensidad)\n",
    "]\n",
    "\n",
    "# Parámetros del sistema según el informe de referencia:\n",
    "V = 150.3           # Voltaje aplicado al calefactor (V)\n",
    "R_h = 800.26        # Resistencia del calefactor (Ω)\n",
    "W_h = V**2 / R_h    # Potencia Joule: Q̇ⱼ = V² / Rₕ (W)\n",
    "lambda_M = 0.8896\n",
    "r_i = 4.925\n",
    "\n",
    "# Listas para almacenar resultados\n",
    "I_vals = []\n",
    "Q_P_vals = []\n",
    "resultados = []   # (I, T2_inf, tau, Q_P, T1_final)\n",
    "\n",
    "# Creamos subplots para los ajustes individuales de T₂(t)\n",
    "fig, axs = plt.subplots(3, 2, figsize=(15, 12))\n",
    "axs = axs.flatten()\n",
    "\n",
    "for idx, (I, datos_exp) in enumerate(datos):\n",
    "    t = datos_exp[:, 0]\n",
    "    T1 = datos_exp[:, 1]  # Temperatura en la unión \"fría\"\n",
    "    T2 = datos_exp[:, 2]  # Temperatura en la unión \"caliente\"\n",
    "    \n",
    "    # Ajuste exponencial a T₂(t)\n",
    "    p0 = [T2[-1], T2[0], 10]  # con T₂(0) y una τ inicial aproximada\n",
    "    popt, _ = curve_fit(modelo_exponencial, t, T2, p0=p0)\n",
    "    T2_inf, T2_0, tau = popt\n",
    "    \n",
    "    # Usamos la última medida de T₁ como T₁_final para este conjunto\n",
    "    T1_final = T1[-1]\n",
    "    \n",
    "    # Calcular el calor Peltier Q̇ₚ (Ecuación 24 del informe):\n",
    "    Q_P = W_h - lambda_M*(T2_inf - T1_final) + 0.5*(I**2)*r_i\n",
    "    \n",
    "    I_vals.append(I)\n",
    "    Q_P_vals.append(Q_P)\n",
    "    resultados.append((I, T2_inf, tau, Q_P, T1_final))\n",
    "    \n",
    "    # Generar datos para el ajuste y graficar\n",
    "    t_fit = np.linspace(t[0], t[-1], 200)\n",
    "    T2_fit = modelo_exponencial(t_fit, *popt)\n",
    "    \n",
    "    ax = axs[idx]\n",
    "    ax.plot(t, T2, 'o', label='Datos T₂')\n",
    "    ax.plot(t_fit, T2_fit, '-', label='Ajuste exponencial')\n",
    "    # Línea horizontal para mostrar T₂∞ obtenida\n",
    "    ax.axhline(T2_inf, color='green', linestyle='--', label=f\"T₂∞ = {T2_inf:.2f} °C\")\n",
    "    ax.set_title(f\"I = {I:.4f} A\\nT₂∞ = {T2_inf:.2f} °C, τ = {tau:.2f} min\\nT₁_final = {T1_final:.2f} °C\\nQ̇ₚ = {Q_P:.2f} W\")\n",
    "    ax.set_xlabel(\"Tiempo (min)\")\n",
    "    ax.set_ylabel(\"Temperatura (°C)\")\n",
    "    ax.legend()\n",
    "    ax.grid()\n",
    "\n",
    "# Ocultar subplots sobrantes (si hubiera)\n",
    "for j in range(len(datos), len(axs)):\n",
    "    axs[j].axis('off')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# Mostrar resultados individuales en consola\n",
    "print(\"Resultados individuales:\")\n",
    "for I_val, T2_inf, tau, Q_P, T1_final in resultados:\n",
    "    print(f\"I = {I_val:.4f} A: T₂∞ = {T2_inf:.2f} °C, τ = {tau:.2f} min, T₁_final = {T1_final:.2f} °C, Q̇ₚ = {Q_P:.2f} W\")\n",
    "\n",
    "# Ajuste lineal de Q̇ₚ vs I para obtener el coeficiente Peltier del módulo, π_M, donde Q̇ₚ = π_M·I\n",
    "def modelo_lineal(I, pi_M):\n",
    "    return pi_M * I\n",
    "\n",
    "popt_lin, _ = curve_fit(modelo_lineal, I_vals, Q_P_vals)\n",
    "pi_M = popt_lin[0]\n",
    "\n",
    "#pruebas\n",
    "popt_lin, _ = curve_fit(modelo_lineal, I_vals, Q_P_vals)\n",
    "pi_M = popt_lin[0]\n",
    "\n",
    "I_vals_array = np.array(I_vals)\n",
    "Q_P_vals_array = np.array(Q_P_vals)\n",
    "r = np.corrcoef(I_vals_array, Q_P_vals_array)[0,1]\n",
    "print(f\"Coeficiente de correlación de Pearson r: {r:.3f}\")\n",
    "#pruebas\n",
    "\n",
    "print(f\"\\nCoeficiente Peltier del módulo obtenido: π_M = {pi_M:.3f} V\")\n",
    "\n",
    "# Gráfico global de Q̇ₚ vs I y el ajuste lineal\n",
    "plt.figure(figsize=(8, 5))\n",
    "plt.scatter(I_vals, Q_P_vals, color='red', label=\"Datos Q̇ₚ\")\n",
    "I_fit_lineal = np.linspace(min(I_vals), max(I_vals), 100)\n",
    "plt.plot(I_fit_lineal, modelo_lineal(I_fit_lineal, pi_M), label=f\"Ajuste: Q̇ₚ = {pi_M:.3f}·I\", color=\"blue\")\n",
    "plt.xlabel(\"Intensidad (A)\")\n",
    "plt.ylabel(\"Calor Peltier Q̇ₚ (W)\")\n",
    "plt.title(\"Q̇ₚ vs. Intensidad\")\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "π_T (por termopar): 102.39 mV\n"
     ]
    }
   ],
   "source": [
    "print(f\"π_T (por termopar): {(pi_M*1000/n_termopares):.2f} mV\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Placa Solar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Datos tomados de la placa y el depósito auxiliar."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Superficie (S): 0.112 m²\n",
      "Masa agua depósito auxiliar (m_ac): 7.378 kg\n"
     ]
    }
   ],
   "source": [
    "#Datos placa solar (metros)\n",
    "ancho = 28.8/100\n",
    "alto = 38.8/100\n",
    "\n",
    "S = ancho * alto\n",
    "\n",
    "#Distancia foco-placa solar\n",
    "d = 0.75 #metros\n",
    "\n",
    "#Volumen agua depósito auxiliar\n",
    "V_ac = 7.4 #litros\n",
    "rho_agua = .997 #g/cm³\n",
    "\n",
    "m_ac = V_ac * rho_agua\n",
    "print(f\"Superficie (S): {S:1.3f} m²\\nMasa agua depósito auxiliar (m_ac): {m_ac:1.3f} kg\")\n",
    "\n",
    "#Datos constantes\n",
    "c_p_normal = 4.18\n",
    "c_p_destilada = 4.186"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fórmulas:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Intensidad foco\n",
    "Intensidad_foco = 324.20 + (247.24/d**2)\n",
    "\n",
    "#Energía placa solar (E_ps)\n",
    "E_ps = Intensidad_foco*S\n",
    "\n",
    "#Energia agua circular (E_1)\n",
    "def E_1(caudal, c_p_normal, delta_T):\n",
    "    E_1 = caudal*c_p_normal\n",
    "    return E_1\n",
    "\n",
    "#Energia agua deposito (E_2)\n",
    "def E_2(c_p_destilada, dT3dt):\n",
    "    E_2 = c_p_destilada*m_ac*dT3dt\n",
    "    return E_2\n",
    "\n",
    "#Rendimientos\n",
    "def rendimiento_foco_circulante(E_1, E_ps):\n",
    "    rendimiento_1 = (E_1/E_ps)\n",
    "    return rendimiento_1\n",
    "def rendimiento_circulante_auxiliar(E_1, E_2):\n",
    "    return E_2/E_1\n",
    "def rendimiento_global(E_2):\n",
    "    return E_2/E_ps"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Datos de $T_2 - T_1$, $T_3$, tiempo según caudal."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# [tiempo (min), (T2-T1), T3]\n",
    "primer_caudal_rpm = 150 #rpm\n",
    "primer_caudal = 150 #ml/min 148 y 152 la media es 150\n",
    "primer_set = np.array([[0, 1.6, 17.73], [1, 3.0, 17.77], [2, 3.5, 17.85], [3, 3.1, 17.89], [4, 3.1, 17.94], [5, 3.2, 17.99], [6, 3.4, 18.06], [7, 3.2, 18.13], [8, 3.7, 18.19], [9, 4.1, 18.24], [10, 4.5, 18.29], [11, 4.8, 18.37], [12, 5.1, 18.49], [13, 5.3, 18.55], [14, 5.4, 18.62], [15, 5.5, 18.68], [16, 5.7, 18.76], [17, 5.8, 18.85], [18, 5.9, 18.96], [19, 6.0, 19.05], [20, 6.0, 19.14], [21, 6.1, 19.27], [22, 6.2, 19.33], [23, 6.2, 19.46], [24, 6.2, 19.57], [25, 6.4, 19.66], [26, 6.3, 19.76], [27, 6.4, 19.85], [28, 6.4, 19.96], [29, 6.4, 20.04], [30, 6.4, 20.15], [31, 6.4, 20.26], [32, 6.4, 20.40], [33, 6.4, 20.48], [34, 6.5, 20.59]])\n",
    "\n",
    "segundo_caudal_rpm = 120 #rpm\n",
    "segundo_caudal = 125 #ml/min\n",
    "segundo_set = np.array([[35, 6.8, 20.71], [36, 7.1, 20.80], [37, 7.2, 20.86], [38, 7.2, 20.98], [39, 7.3, 21.06], [40, 7.5, 21.14], [41, 7.5, 21.24], [42, 7.6, 21.32], [43, 7.6, 21.40], [44, 7.6, 21.52], [45, 7.6, 21.60], [46, 7.7, 21.68], [47, 7.7, 21.80], [48, 7.7, 21.87], [50, 7.7, 22.07], [51, 7.7, 22.15], [52, 7.7, 22.27], [53, 7.7, 22.33], [54, 7.7, 22.45], [55, 7.7, 22.53], [56, 7.7, 22.62]])\n",
    "\n",
    "tercer_caudal_rpm = 90 #rpm\n",
    "tercer_caudal = 97 #ml/min\n",
    "tercer_set = np.array([[58, 8.7, 22.78], [59, 8.9, 22.84], [60, 9.0, 22.92], [61, 9.1, 23.03], [62, 9.2, 23.10], [63, 9.4, 23.18], [64, 9.3, 23.25], [65, 9.4, 23.32], [66, 9.4, 23.39], [67, 9.5, 23.49], [68, 9.4,23.55], [69, 9.5, 23.63], [70, 9.6, 23.74], [71, 9.5, 23.80], [72, 9.6, 23.89], [73, 9.6, 23.98], [74, 9.6, 24.05], [75, 9.7, 24.12], [76, 9.6, 24.18], [77, 9.6, 24.27], [78, 9.7, 24.35], [79, 9.7, 24.42], [80, 9.6, 24.51], [81, 9.7, 24.58], [82, 9.7, 24.66], [83, 9.6, 24.76], [84, 9.7, 24.82], [85, 9.7, 24.91]])\n",
    "\n",
    "cuarto_caudal_rpm = 60 #rpm\n",
    "cuarto_caudal = (58 + 68)/2 #ml/min\n",
    "cuarto_set = np.array([[86, 9.7, 24.96], [87, 10.9, 25.02], [88, 11.4, 25.08], [89, 11.8, 25.12], [90, 12.0, 25.18], [91, 12.2, 25.24], [92, 12.2, 25.31], [93, 12.4, 25.35], [94, 12.6, 25.40], [95, 12.7, 25.48], [96, 12.8, 25.52], [97, 12.9, 25.59], [98, 13.0, 25.65], [99, 13.0, 25.72], [100, 13.1, 25.75], [101, 13.1, 25.84], [102, 13.2, 25.88], [103, 13.2, 25.93], [104, 13.2, 26.00], [105, 13.2, 26.07], [106, 13.3, 26.14], [107, 13.3, 26.18], [108, 13.3, 26.25], [109, 13.3, 26.31], [110, 13.4, 26.39], [111, 13.3, 26.43], [112, 13.4, 26.49]])\n",
    "\n",
    "quinto_caudal_rpm = 40 #rpm\n",
    "quinto_caudal = 42\n",
    "quinto_set = np.array([[113, 13.2, 26.55], [114, 14.1, 26.60], [115, 14.9, 26.67], [116, 15.3, 26.69], [117, 15.4, 26.74], [118, 15.7, 26.76], [119, 15.9, 26.82], [120, 16.1, 26.83], [121, 16.3, 26.90], [122, 16.4, 26.93], [123, 16.5, 26.95], [124, 16.7, 27.01], [125, 16.8, 27.05], [126, 16.8, 27.08], [127, 17.0, 27.11], [128, 17.1, 27.15], [129, 17.2, 27.19], [130, 17.2, 27.23], [131, 17.2, 27.30], [132, 17.4, 27.34], [133, 17.4, 27.40], [134, 17.5, 27.42], [135, 17.5, 27.46], [136, 17.6, 27.53], [137, 17.6, 27.55], [138, 17.7, 27.59], [139, 17.7, 27.65], [140, 17.7, 27.70], [141, 17.7, 27.73], [142, 17.9, 27.78], [143, 17.9, 27.81], [144, 17.8, 27.85], [145, 17.9, 27.90], [146, 17.9, 27.94], [147, 17.9, 27.98], [148, 17.9, 28.06], [149, 17.9, 28.08], [150, 17.9, 28.11], [151, 17.9, 28.16], [152, 17.9, 28.18], [153, 17.9, 28.25], [154, 17.9, 28.28]])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Gráficas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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mIiMjWblyJT///DPHjx9Pm5JXtGjRtHKXL1+2Gl2W6tKlS4AxBSw7evXqBUBSUhJHjhzh+++/58iRIzz55JNs2LAhwz/WGzVqxB133AEYCcwyZcrw0EMP0bZtW7tJi1Qmk4nevXsTGRnJ0qVL05KEOVngHIwRW5D9/siu8PBw7r33Xvbu3cvq1autklKpP8fLly/brZ+Tn6OtaYGpI6+CgoJs/ixSY8rKJgGZTd2zF8vN8dg7X7RoUf75558sb1qQ0ZRIsH9/N/fz+fPnsz3aVERExNU0fU9ERHKtevXqAcYUFLPZnOX6zz77LNu2baNBgwasX7+e06dPc/369bQRSEFBQQB2d7GyJyUlJcuxZKRr16788ssvPProo2zdupX4+Pi0OLOywHludfNUs9TkHWA15creQtrHjx8HyPboovnz5zN//nwWL17Mzp072bZtG0WLFiUmJiZtWpU9zz77bFr9999/nwkTJvDoo49mmpBK1adPH0wmE++//z4LFy6kWLFihIeHZ+s+UhUvXhzwTJIy9ed4888Qbvxs7P0ML1y4kBZvdn6OGa2/ld21uWz58ssvKVq0qM2RV45ez5nx5KS91OQlkOOEu4iIiCspKSUiIrnWo48+ipeXF+fPn7e7SLg9ly9fZs2aNXh5ebFmzRpatWpFmTJl0tZYunz5MqdOnbJZN7XMzWse3ezPP/9Md6xChQoAGe52Z+vcr7/+yr59+yhTpgwrVqwgLCyMUqVKpcWQnd3Kcpubdzi8eXRUQEBA2kik1EXtb3XzYvfO0KhRI6ZOnQrA9OnT0xYtd4VKlSrRvHlzfvjhB06fPk2PHj0oWLBgjtpMHfHizF0jHZV6zZt/hnDjZ5PZz7Bw4cJUr17dhRFm3969e/njjz9o37693V0V85LUn1WJEiXctq6ciIhIdigpJSIiuVa1atXo0aMHAC+//DL//PNPhuXPnDmTtvZSQkICZrOZgICAtNElN1u0aJHdEVKpCab/+7//S3du3759aaN3bvbwww9jMpn48ccfba7n9PPPP9ucupd6T+XLl7c5AmfRokU2Y8xLPv/8c8BIQoWGhlqde+yxxwBYsmRJunqXLl1i9erVADkeYXSzZ555hnvvvZfr168TGRnptHZt6devH6VKlaJUqVL07ds3x+2lJoBs/W660smTJ4mJiQGMxb5v1rlzZwC+++47m6OlUn+2HTp0yLUJkqioKCDjqXt5yYEDB4Abo01FRERyKyWlREQkV5sxYwZ33HEHR48epXHjxjbXh7p+/Toff/wxdevWTftjvWzZspQoUYLz58+zcOFCq/I7d+7McJv0li1bAhAZGWk1fe7YsWP06tXLZjIrJCSExx57jJSUFPr37281vercuXMMGDDAZr3q1avj7e3N/v370+1Ot3r16rRRPVlx8uRJatSoQY0aNewuhOxMe/fuZdWqVSQnJ1sdT0lJ4aOPPmLkyJEADBo0KF1SYsiQIRQqVIgNGzbwwQcfpB03m80MGDCA8+fPc//992c4pSqrTCYTb775JgCLFy/mt99+c1rbt+rWrRvx8fHEx8dTv379HLdXtWpVQkJCOHv2LL///rsTIrxh+vTpxMfHpzu+b98+OnTowNWrV6lWrRqdOnWyOn/33XfTqVMnzGYzffv25erVq2nn1q5dy/z58/Hy8srwvzlP+/LLLylYsKDNhcrzou3btwPGTn0iIiK5mRY6FxGRXK1EiRJ89913dO/enc2bNxMWFkaVKlWoXbs2hQoV4vTp0/zwww9cunSJgIAAypcvD4C3tzdjxoxh6NChPP3008yaNYuqVasSGxvL9u3b6dmzJ1u3brU5FW/kyJEsX76cNWvWUL16de6//37Onj3Lrl27aNSoEQ0bNkz7o+9ms2bN4ueff2bz5s1UqVKFpk2bYrFY2LRpE6VKlaJjx47ppiEGBgby4osvMn36dFq0aEFYWBjly5fn0KFD/Pjjj4wePZoJEyZkqc+SkpLSRoxldQv6//3vf4wfPz7t/cGDBwF44403mDlzZtrxnTt3pr0+duwYjz32GCVKlOC+++6jbNmynD9/ngMHDqSNnOnRowdjx45Nd73y5cszf/58evToQb9+/fjoo4+oXLkyu3bt4o8//qBs2bIsWbLE5i56OdGuXTsefvhhtm7dSmRkJIsXL3Zq+67UuXNn3nvvPaKjo9OmP97qoYceSnt99uxZAHbt2mV1/PXXX+eRRx5Jez927Fhefvll7r33XqpUqYKXlxdHjhzhp59+IiUlhZCQEFavXm1zetv777/PwYMH2bBhA9WqVSMsLIwzZ86wZcsWLBYL06dPp3bt2s7qAqf69ddfOXjwIJ07d85wR8W8ZMOGDQDpEogiIiK5jUZKiYhIrlemTBk2bdrE2rVrefrpp/H29ubbb79l+fLlHDx4kAYNGjBt2jSOHj1qNbVoyJAhfPXVVzRs2JBDhw6xevVqEhMTmTVrFgsWLLB7vSpVqrB9+3bCw8O5ePEiX3/9NadPn2bUqFGsWbPG7hSkcuXK8f333/PSSy9RqFAhvv76a3bt2sUTTzzBzp077S44PHXqVD766CPq1q3Lnj17WLNmDYUKFeLzzz+3ShC5w9mzZ/n+++/TvlLX1UrduS7162Z16tRhyJAh3H333fz6669ERUXx7bffAsYi7v/73/9YsmSJ3QXCH3/8cb7//nvCw8P5448/WLFiBWazmYEDB/Lzzz/bTbzk1FtvvQUY0wvdPR0uJwYOHIjJZGL+/Pl2y9z8s0pdN+vChQtWx1OTValGjRrFo48+SkJCAtHR0URFRXH06FEaNmzI5MmTOXDggNWi9TcrU6YMu3fvZsSIERQpUoSVK1eyb98+2rRpw4YNGxg0aJDT7t/ZUnfdc+YUUU/66aef2LdvH82aNeOuu+7ydDgiIiIZMlmyuuWQiIiIiHjUo48+yv/+9z/27dvHPffc4+lw8rR69eqxf/9+zpw5Y3P9ubzmpZdeYubMmaxcuZKOHTt6OhwREZEMKSklIiIiksccPHiQOnXq0KlTJ5YvX+7pcPKs69evM2nSJIKCgujXr5+nw8mx48ePU716dR566CE2bdrk6XBEREQypaSUiIiISB40dOhQpk2bxq5du5yyiLrkfc8++yzz58/nxx9/zLVreImIiNxMSSkREREREREREXE7LXQuIiIiIiIiIiJup6SUiIiIiIiIiIi4nZJSIiIiIiIiIiLidkpKiYiIiIiIiIiI2ykpJSIiIiIiIiIibqeklIiIiIiIiIiIuJ2SUiIiIiIiIiIi4nZKSomIiIiIiIiIiNspKSUiIiIiIiIiIm6npJSIiIiIiIiIiLidklIiIiIiIiIiIuJ2SkqJiIiIiIiIiIjbKSklIiIiIiIiIiJup6SUiIiIiIiIiIi4nZJSIiIiIiIiIiLidkpKiYiIiIiIiIiI2ykpJSIiIiIiIiIibqeklIiIiIiIiIiIuJ2SUiIiIiIiIiIi4nZKSomIiIiIiIiIiNspKSWSDW+88QYmk8nqWHJyMq+++ioVK1bEy8uLzp07eyY4J5k/fz4mk4ljx445td133nmHGjVqkJKS4tR23S0pKYmKFSsye/ZsT4eSJbZ+d0VEREScqXfv3lSuXNnTYYhIHqCklNz2UpMvqV/+/v6UL1+eNm3a8N5773Hx4kWH2vn444+ZPHkyXbt2ZcGCBQwdOtTFkec9Fy5c4O233+a1117Dy8uL3r17W/W9va/evXuTkpLC/Pnz6dixIxUrVqRw4cLUqlWLCRMmcO3aNbvXvPXna+8r9cEpLi6OESNG0KxZM4oWLYrJZGLz5s3p2vX19WXYsGFMnDgxw+u7Q+XKlR26x/nz53s0ThERkduRI/9Gpz5vXL16lb59+1KrVi2KFStGkSJFqFOnDtOnTycpKSnP3IeIiKNMFovF4ukgRDxp/vz59OnTh3HjxlGlShWSkpI4deoUmzdvJjo6mpCQEFatWkXt2rXT6iQnJ5OcnIy/v3/asSeeeIJt27Zx4sQJT9yG05nNZpKSkvDz83PayJpp06YxduxYTp8+jb+/Pzt27ODIkSNp548ePcqYMWPo168fYWFhacerVavGPffcQ9GiRXnooYd49NFHKVOmDDt27GDBggU8/PDDbNy40Wacf/zxB9u3b7c69uyzz/LAAw/Qr1+/tGNFihShc+fObN68mWbNmnHnnXcSGBjIjh072LRpE02bNk3X9vnz5ylbtixz5szhmWeecUIPZc9XX33FpUuX0t6vWbOGzz77jKlTpxIYGJh2vGHDhoSEhKT73RURERHXWbRokdX7Tz/9lOjoaBYuXGh1vFWrVvj6+tK+fXsefvhhKleujJeXF9u3b2fRokU88cQTLFmyxJ2hW8nKfZQsWZKUlBT8/PzcGaKI5EFKSsltLzUptWvXLurXr291buPGjWkJkP/7v/+jYMGCdttp3rw5Z86c4cCBA06Jy2KxcO3atQyvmdfUqVOH2rVrp3t4SbV7927uv/9+PvnkE3r37m117vr16+zevZuGDRtaHR83bhxjx44lOjqali1bOhRHkSJF6Nq1q82RQxcvXiQpKYmSJUuyfPlyHn/8cbtJKYAOHTqQkJDA1q1bHbq2O7z77rsMHz6co0ePaui8iIhILvPiiy8ya9YssvJn2EsvvcTMmTOJi4ujXLlyLozOcdm5DxGRW2n6nkgGmjdvzuuvv86ff/5p9enQzevyHDt2DJPJxKZNm/jll1/SDV1OSUlh2rRp3H333fj7+1O2bFmef/55zp07Z3WtypUr8+ijj7Ju3Trq169PwYIFmTdvHmCMyBkyZAgVK1bEz8+PO+64g7fffttqXabUON59913ef/99qlWrhp+fH/fffz+7du1Kd2+//vor3bp1o3Tp0hQsWJDQ0FBGjRqVdt7WmlIrV67kkUceoXz58vj5+VGtWjXGjx+P2WzOtC+PHj3Kvn37HE4c3apAgQLpElIAjz32GAD/93//l612b1W0aFFKlizpcPlWrVqxbds2/vnnH7tlTp8+jY+PD5GRkenOHTp0CJPJxMyZMwFjrarIyEjuvPNO/P39KVWqFI0bNyY6OjrrN2ODvTWlFi1aRL169ShYsCAlS5bkiSee4Pjx41ZlmjZtSq1atdi3bx9NmjShUKFC3HHHHSxfvhyALVu28OCDD6b9Pm3YsMHmtVN/9wICAihVqhSDBw9ONwUyOTmZ8ePHp/0eV65cmZEjR5KYmOiUfhAREclLUj9kOn/+vN0yu3fvxmQysWDBgnTn1q1bh8lk4uuvvwaMD+GGDBlC5cqV8fPzo0yZMrRq1Yoff/zRKfHaWlMqq8/EmzdvTnsmvueee9KeraOiorjnnnvw9/enXr16/PTTT+muXaRIEf744w/atGlD4cKFKV++POPGjUuXQLt8+TIvv/xy2jN2aGgo7777rhJtIm6kpJRIJv7zn/8AsH79epvnS5cuzcKFC6lRowbBwcEsXLiQhQsXUrNmTQCef/55hg8fTqNGjZg+fTp9+vRh8eLFtGnTJt3aAIcOHaJHjx60atWK6dOnc++993LlyhWaNGnCokWLePrpp3nvvfdo1KgRERERDBs2LF08S5YsYfLkyTz//PNMmDCBY8eOER4ebnWtffv28eCDD7Jx40aee+45pk+fTufOnVm9enWGfTF//nyKFCnCsGHDmD59OvXq1WPMmDGMGDEi035MnUJ33333ZVo2K06dOgVgNU3NnerVq4fFYkk3RfBmZcuWpUmTJnzxxRfpzi1duhRvb28ef/xxwEjcREZG0qxZM2bOnMmoUaMICQlx2kOiLRMnTuTpp5/mzjvvZMqUKQwZMoRvv/2Whx9+ON3D77lz53j00Ud58MEHeeedd/Dz8+OJJ55g6dKlPPHEE7Rv35633nqLy5cv07VrV5trsnXr1o1r164xadIk2rdvz3vvvWc1lRKMKZZjxozhvvvuY+rUqTRp0oRJkybxxBNPuKwfREREcovr168THx/P8ePHWbFiBe+++y6VKlXijjvusFunfv36VK1a1e7zRokSJWjTpg0AL7zwAnPmzKFLly7Mnj2bV155hYIFCzrtQz5bsvJM/Pvvv/Pkk0/SoUMHJk2axLlz5+jQoQOLFy9m6NCh9OzZk8jISI4cOUK3bt3SbaBjNptp27YtZcuW5Z133qFevXqMHTuWsWPHppWxWCx07NiRqVOn0rZtW6ZMmUJoaCjDhw+3+YwtIi5iEbnNffLJJxbAsmvXLrtlihUrZqlbt27a+7Fjx1pu/c+nSZMmlrvvvtvqWExMjAWwLF682Or4N998k+54pUqVLIDlm2++sSo7fvx4S+HChS2//fab1fERI0ZYvL29LbGxsRaLxWI5evSoBbCUKlXK8s8//6SVW7lypQWwrF69Ou3Yww8/bClatKjlzz//tGozJSUlXb8cPXo07diVK1fS9c3zzz9vKVSokOXatWvpzt1s9OjRFsBy8eJFu2V27dplASyffPJJhm3drGXLlpaAgADLuXPnHK5TuHBhS69evTItt2zZMgtg2bRpk90yf/31lwWwvP322xm2NW/ePAtg2b9/v9Xxu+66y9K8efO093Xq1LE88sgjmcaWkcmTJ6f72aW69Xf32LFjFm9vb8vEiROtyu3fv9/i4+NjdbxJkyYWwLJkyZK0Y7/++qsFsHh5eVl27tyZdnzdunXpfpap1+7YsaPVtQYMGGABLD///LPFYrFY9u7dawEszz77rFW5V155xQJYNm7c6HhniIiI5DIDBw5M9xx5q88++8wCpH3Vr1/fsm/fvkzbjoiIsPj6+lo9CyYmJlqKFy9ueeaZZ9KOFStWzDJw4MDs34Ql4/vo1auXpVKlSmnvs/NMvH379rRjqc8VBQsWtHp+TX2+uvlZrVevXhbA8tJLL6UdS0lJsTzyyCOWAgUKWM6ePWuxWCyWr776ygJYJkyYYBVT165dLSaTyfL777873hkikm0aKSXigCJFiji8C9/Nli1bRrFixWjVqhXx8fFpX/Xq1aNIkSJs2rTJqnyVKlXSPsG6uY2wsDBKlChh1UbLli0xm83p1jLq3r07JUqUSHufumD4H3/8AcDZs2fZunUrzzzzDCEhIVZ1M1vQ/Ob1rS5evEh8fDxhYWFcuXKFX3/9NcO6f//9Nz4+PhQpUiTDclnx5ptvsmHDBt566y2KFy/utHazIrWv4+PjMywXHh6Oj48PS5cuTTt24MABDh48SPfu3dOOFS9enF9++YXDhw+7JuBbREVFkZKSQrdu3ax+v8qVK8edd96Z7ne0SJEiVqOVQkNDKV68ODVr1uTBBx9MO576OvX37mYDBw60ev/SSy8BxgLtN3+/9VPKl19+GYD//e9/2bpXERGRvKJZs2ZER0ezbNkyXnjhBXx9fbl8+XKm9bp3705SUhJRUVFpx9avX8/58+fTPW98//33/PXXXy6J/1ZZfSa+6667aNCgQdr71OeK5s2bWz2/ZvS88eKLL6a9NplMvPjii1y/fj1teYE1a9bg7e3NoEGDrOq9/PLLWCwW1q5dm8O7FhFH+Hg6AJG84NKlS5QpUybL9Q4fPkxCQoLdumfOnLF6X6VKFZtt7Nu3j9KlSzvUxq2JptSkSep8/dR/tGvVquXAHVj75ZdfGD16NBs3buTChQtW5xISErLcXk4sXbqU0aNH07dvX/r37291LnVKX6pixYq5bMF4y79rDmSW0AsMDKRFixZ88cUXjB8/HjDuwcfHh/Dw8LRy48aNo1OnTlSvXp1atWrRtm1b/vOf/1jt/uhMhw8fxmKxcOedd9o87+vra/U+ODg43b0WK1aMihUrpjsGpFsnAkh3rWrVquHl5ZW2ftmff/6Jl5dXuikK5cqVo3jx4vz555+Z35iIiEgeVrZsWcqWLQtA165defPNN2nVqhWHDx/OcKHzOnXqUKNGDZYuXUrfvn0B43kjMDCQ5s2bp5V755136NWrFxUrVqRevXq0b9+ep59+mqpVq7rkfrL6THzr82zqc4WjzxteXl7p7qV69eoAVs8b5cuXp2jRolblUpfg0POGiHsoKSWSiRMnTpCQkJDhHH57UlJSKFOmDIsXL7Z5/tZEk63ESUpKCq1ateLVV1+12UbqP7CpvL29bZaz5HDBxvPnz9OkSRMCAgIYN24c1apVw9/fnx9//JHXXnst3Vz+W5UqVYrk5GQuXryY7h//rIqOjubpp5/mkUceYe7cuenOBwUFWb23tZufs6Q+BDmyptUTTzxBnz592Lt3L/feey9ffPEFLVq0sKr78MMPc+TIEVauXMn69ev58MMPmTp1KnPnzuXZZ591evwpKSmYTCbWrl1r83fn1pFt9n6/cvJ7Zy+hl1miT0RE5HbRtWtXRo0axcqVK3n++eczLNu9e3cmTpxIfHw8RYsWZdWqVfTo0QMfnxt/+nXr1o2wsDBWrFjB+vXrmTx5Mm+//TZRUVG0a9fO6fFn9ZnYFc8bIpI7KSklkomFCxcCpJtW54hq1aqxYcMGGjVqlO2ROtWqVePSpUvZ3rXuVqmfGh04cCBL9TZv3szff/9NVFQUDz/8cNrxo0ePOlS/Ro0aaeVzMurn+++/57HHHqN+/fp88cUXVg9YqW7dqe7uu+/O9vUyk3r/qZ+qZaRz5848//zzaVP4fvvtNyIiItKVK1myJH369KFPnz5cunSJhx9+mDfeeMMlSalq1aphsVioUqVKugSnqxw+fNhqVODvv/9OSkpK2i49lSpVIiUlhcOHD1v16+nTpzl//jyVKlVyS5wiIiK5xdWrVwHHRqZ3796dyMhIvvzyS8qWLcuFCxdsbhQSFBTEgAEDGDBgAGfOnOG+++5j4sSJLklKOeOZOCtSUlL4448/rJ5tfvvtNwCr540NGzak+8A0dUkKPW+IuIfWlBLJwMaNGxk/fjxVqlThqaeeynL9bt26YTab06Zr3Sw5OTnDbX1vbmPHjh2sW7cu3bnz58+TnJycpZhKly7Nww8/zMcff0xsbKzVuYw+ZUr9ZOrmMtevX2f27NkOXTd1XYDdu3dnKd6b/d///R+PPPIIlStX5uuvv7b7UNOyZUurr1tHTjnTnj17MJlMVuse2FO8eHHatGnDF198weeff06BAgXo3LmzVZm///7b6n2RIkW44447SExMdGbYacLDw/H29iYyMjLdz99isaSLxxlmzZpl9X7GjBkAaQ/B7du3B2DatGlW5aZMmQLAI4884vSYREREcoP4+Hibz2MffvghYOywl5maNWtyzz33sHTpUpYuXUpQUJDVB4pmszldcqtMmTKUL1/eZc8bzngmzqqZM2emvbZYLMycORNfX19atGgBGM8bZrPZqhzA1KlTMZlMLknOiUh6Gikl8q+1a9fy66+/kpyczOnTp9m4cSPR0dFUqlSJVatW4e/vn+U2mzRpwvPPP8+kSZPYu3cvrVu3xtfXl8OHD7Ns2TKmT59O165dM2xj+PDhrFq1ikcffZTevXtTr149Ll++zP79+1m+fDnHjh1zaOrYzd577z0aN27MfffdR79+/ahSpQrHjh3jf//7H3v37rVZp2HDhpQoUYJevXoxaNAgTCYTCxcudHi4dNWqValVqxYbNmzgmWeeyVK8YCys3qZNG86dO8fw4cPTLXZdrVo1hxJDjpgwYQJgrKEFxmi5bdu2ATB69GirstHR0TRq1IhSpUo51Hb37t3p2bMns2fPpk2bNukWaL/rrrto2rQp9erVo2TJkuzevZvly5dbLdbpTNWqVWPChAlERERw7NgxOnfuTNGiRTl69CgrVqygX79+vPLKK0695tGjR+nYsSNt27Zlx44dLFq0iCeffJI6deoAxnoYvXr14v3330+bNvrDDz+wYMECOnfuTLNmzZwaj4iISG6xaNEi5s6dS+fOnalatSoXL15k3bp1REdH06FDB6t1oTLSvXt3xowZg7+/P3379sXL68ZYhIsXLxIcHEzXrl2pU6cORYoUYcOGDezatYv//ve/LrkvZzwTZ4W/vz/ffPMNvXr14sEHH2Tt2rX873//Y+TIkWlTBTt06ECzZs0YNWoUx44do06dOqxfv56VK1cyZMgQqlWr5rR4RMQ+JaVE/jVmzBgAChQoQMmSJbnnnnuYNm0affr0ydEaSHPnzqVevXrMmzePkSNH4uPjQ+XKlenZsyeNGjXKtH6hQoXYsmULb775JsuWLePTTz8lICCA6tWrExkZmbbAY1bUqVOHnTt38vrrrzNnzhyuXbtGpUqV6Natm906pUqV4uuvv+bll19m9OjRlChRgp49e9KiRQuHpzY+88wzjBkzhqtXr2Z56Pbff//N8ePHARgxYkS687169XJaUur111+3ev/xxx+nvb45KZWQkMD69esdHi0G0LFjRwoWLMjFixetdsFJNWjQIFatWsX69etJTEykUqVKTJgwgeHDh2fjThwzYsQIqlevztSpU4mMjASMhURbt25Nx44dnX69pUuXMmbMGEaMGIGPjw8vvvgikydPtirz4YcfUrVqVebPn8+KFSsoV64cERERjB071unxiIiI5BaNGzdm+/btfPbZZ5w+fRofHx9CQ0OZMmVK2m61jujevTujR4/mypUr6Z43ChUqxIABA1i/fn3aLrx33HEHs2fPTrd5jDPl9Jk4K7y9vfnmm2/o378/w4cPp2jRoowdOzbteR+MxdBXrVrFmDFjWLp0KZ988gmVK1dm8uTJaTv+iojrmSxaFU5E3CQhIYGqVavyzjvvpO0Ik5dNmzaNd955hyNHjrhlfYS87o033iAyMpKzZ89meXSfiIiIiCN69+7N8uXLuXTpkqdDEREHaE0pEXGbYsWK8eqrrzJ58uRMd+vL7ZKSkpgyZQqjR49WQkpERERERCQbNH1PRNzqtdde47XXXvN0GDnm6+ubbqF4ERERERERcZxGSomIiIiIiIiIiNtpTSkREREREREREXE7jZQSERERERERERG3U1JKRERERERERETcLk8vdJ6SksJff/1F0aJFMZlMng5HRERE8gCLxcLFixcpX748Xl76fC4zet4SERGRrMjKs1aeTkr99ddfVKxY0dNhiIiISB50/PhxgoODPR1GrqfnLREREckOR5618nRSqmjRooBxowEBAU5vPykpifXr19O6dWt8fX2d3n5epr6xTf1in/rGNvWLfeob29Qv9jnaNxcuXKBixYppzxGSMT1veYb6xT71jW3qF/vUN7apX+xT39jmimetPJ2USh1CHhAQ4LKHpEKFChEQEKBfxFuob2xTv9invrFN/WKf+sY29Yt9We0bTUVzjJ63PEP9Yp/6xjb1i33qG9vUL/apb2xzxbOWFlIQERERERERERG3U1JKRERERERERETcTkkpERERERERERFxOyWlRERERERERETE7ZSUEhERERERERERt1NSSkRERERERERE3E5JKRERERERERERcTslpURERERERERExO2UlBIREREREREREbfz8XQAIiIiIqnMZoiJgbg4CAqCsDDw9vZ0VCIiIiJ5XGwsxMfbPx8YCCEh7ovnX0pKiYiISK4QFQWDB8OJEzeOBQfD9OkQHu65uERERETytNhYCA2Fa9fsl/H3h0OH3J6Y0vQ9ERER8bioKOja1TohBXDypHE8KsozcYmIiIjkefHxGSekwDif0UgqF1FSSkRERDzKbDZGSFks6c+lHhsyxCgnIiIiIvmHklIiIiLiUTEx6UdI3cxigePHjXIiIiIikn8oKSUiIiIe9fvvjpWLi3NtHCIiIiLiXlroXERERDzi7FmYNs34ckRQkCujERERERF3U1JKRERyHbMZtmwxsXVrBQoXNtGsGXh7u/Z6MTHGSJygIAgLc+x6nqiXnX5xd5yZ1Y2Lg3ffhblz4coV45iPDyQn227LZDJ24QsLc+zaIiIiInKTXDzcXEkpERHJVaKijEWvT5zwAeozZYqRkJg+HcLDXXm9G8ccuZ7n6mWtX9wdZ0Z1R4+G/fvhww8hMdE4ft998PrrRkKqWzfj2M0LnptMxvdp01ybmBQRERHJlw4ehGee8XQUdmlNKRERyTWioqBr1/SLXp88aRyPisod11M92/UyqnviBLzwAsyaZSSkGjSANWtg927o3Nmos3w5VKhgXS842DjuioSkiIiISL62c6cx1PzMmRuf9Nnj7w+Bge6J6yYaKSUiIrmC2WyMrrl5lEwqi8X4d3TIEOjUyTkjZhy53qBB8PDD1tczm+Gll1Tv1nqZ1U3l5werV0PLlumfjcLDjZ9vdqcMioiIiMi/1q0zHq6uXIEHH4R584yHNXsCAyEkxH3x/UtJKRERyRViYtKPrrmZxQLHjxvlmjZ1z/VOnoTSpbPWruplLDERfH3tf1jn7e2cn29eM2nSJKKiovj1118pWLAgDRs25O233yY0NDStzLVr13j55Zf5/PPPSUxMpE2bNsyePZuyZcvabbd3794sWLDA6libNm345ptvXHYvIiIi4mGffQZPP22sj9CmjTHsvEgRT0dlk6bviYhIruDo+ovOWqfxt9+c045kXS5ea9NjtmzZwsCBA9m5cyfR0dEkJSXRunVrLl++nFZm6NChrF69mmXLlrFlyxb++usvwh2Y19i2bVvi4uLSvj777DNX3oqIiIh40owZ8NRTRkKqRw9YtSrXJqRASSkREcklgoIcK/fjj3D9evavc/o0vPaaMXXPEdHRxvVSv6KjVc9WvazUdfRnfTv55ptv6N27N3fffTd16tRh/vz5xMbGsmfPHgASEhL46KOPmDJlCs2bN6devXp88sknbN++nZ07d2bYtp+fH+XKlUv7KlGihDtuSURERFwhNtZ4IL71a88eeO45Y50FiwVefBEWLYICBTwdcYY0fU9ERHKFP/90rNy778IXXxiJpWeeMdZkTGU221+P6ORJmDwZ3n8frl41jvn6QlKS7euYTMYi282aWa9p1KyZcfzkSdtrJ92u9bJSNyws/TmxlpCQAEDJkiUB2LNnD0lJSbRs2TKtTI0aNQgJCWHHjh089NBDdtvavHkzZcqUoUSJEjRv3pwJEyZQqlQp196AiIiIOF9sLISGwrVrGZcbNsx4aM5scfNcQEkpERHxuI8+Mj7YSWUyWSc1Uv89ffppY83G2FgYOBAmTIDhw6FfP+P44MHW60QFB8OoUbB3L3zyyY0RVg88AK+/bqxv9PjjxjFb15s2LX3ixdsbpk83douzF+ftWC+ndeWGlJQUhgwZQqNGjahVqxYAp06dokCBAhQvXtyqbNmyZTl16pTdttq2bUt4eDhVqlThyJEjjBw5knbt2rFjxw687fwgEhMTSUxMTHt/4cIFAJKSkkiyl8XNgdQ2XdF2XqZ+sU99Y5v6xT71jW3qF/tybd+cOoVvZgkpIKl7d2P6npM52i9Z6TclpURExKNmzzYSTGB8b9oUhg5Nn1yaNs3YQOTqVfj4Y3j7bWPh82HDYOxYuHgxfdsnTkD//jfeP/wwjB5tvfPb8uW2k1mp17MlPFz17MlJXTEMHDiQAwcOsG3bthy39cQTT6S9vueee6hduzbVqlVj8+bNtGjRwmadSZMmERkZme74+vXrKVSoUI5jsifa0fmftxn1i33qG9vUL/apb2xTv9iX2/qm2JEjNHWg3HfbtpHgwkU8M+uXK1euONyWklIiIuIxU6caSSWwHmX82GOwaVMya9fupV27e2nWzCdtdE3Bgkby6rnnYOFCmDgRjh7N+Dp+frB2rTG97Fbh4dCpk/1pf/Z4qp69fsktcea07u3uxRdf5Ouvv2br1q0EBwenHS9XrhzXr1/n/PnzVqOlTp8+Tbly5Rxuv2rVqgQGBvL777/bTUpFREQwLPU/TIyRUhUrVqR169YEBARk/aYykZSURHR0NK1atcLX19fp7edV6hf71De2qV/sU9/Ypn6xL9f2zU8/OVSsUePGULeu0y/vaL+kjrJ2hJJSIiLiEW+9BRERxuuICCO5lDp6ydsbmjSxcPnySZo0qWMzmVGgAPTtC5UrGyOfMpKYmPGUem9vY4RWVnmiXmb94uzrZadeTuvejiwWCy+99BIrVqxg8+bNVKlSxep8vXr18PX15dtvv6VLly4AHDp0iNjYWBo0aODwdU6cOMHff/9NUAarzfv5+eHn55fuuK+vr0sfzF3dfl6lfrFPfWOb+sU+9Y1t6hf7cl3f+DiWwvH18TEWT3WRzPolK32m3fdERMStLBZ4440bCanISOuEVFadOeNYOReOYBbJsYEDB7Jo0SKWLFlC0aJFOXXqFKdOneLqv6vyFytWjL59+zJs2DA2bdrEnj176NOnDw0aNLBa5LxGjRqsWLECgEuXLjF8+HB27tzJsWPH+Pbbb+nUqRN33HEHbdq08ch9ioiISA4cOuTpCJxOI6VERMRtLBYYOdIYJQUwaRKMGJGzNjMY8JGtciKeMGfOHACa3jK87JNPPqF3794ATJ06FS8vL7p06UJiYiJt2rRh9uzZVuUPHTqUtnOft7c3+/btY8GCBZw/f57y5cvTunVrxo8fb3MklIiIiORS16/Dm28au/zkM0pKiYjcJszm7K/xk926N9crVw5WrjR2ZwOYMsVY0DynwsKMRbRPnrTe7S2VyWScDwvL+bVEXMVi65f3Fv7+/syaNYtZs2Y51E7BggVZt26dU+ITERERD9m7F3r3hp9/9nQkLqGklIjIbSAqyvZuaNOnZ74bWnbr2qqXatYsGDAga/dgj7e3EUvXrkYC6ua/7VOnBE6bpkW2RURERCQXiY2F+Hj75wMCYNEiY52L5GQoVcpY9+KVV+DaNfv1/P0hMND58bqIklIiIvlcVJSRsLl1IMbJk8bx5cvtJ5eyW9devVRZ2CzMIeHhRiy2kmfTpmWeeBMRERERcZvYWAgNzTi5dPOnrV26wOzZUKYMdOiQcTIrMBBCQpwbrwspKSUiko+ZzUaixlZyKPXYc8/BpUvgdcvWFykpxvS6rNbNqB4Y/74OGQKdOjl39FJ4uNFmdqcoioiIiIi4RXx8xgkpMB6mixeHefOgW7cbx0NC8lTSKTNKSomI5GMxMbanz93sn3+gV6/stZ+duhYLHD9uxHbLms455u3t/DZFRERERDxi2TJo2dLTUbiUklIiIvnYgQOOlatVK/3udHFxjtW/ta6j9eLiHItNREREROS2VLKkpyNwOSWlRETyoaNH4a234KOPHCs/Y0b6EUabN0OzZlmv62i9W5NgIiIiIiJye1FSSkQkjzGb7a+b9Ntv8OabxkYdZrNxrEABuH7ddlsmk7EYeFhY+nNhYca5kydtrw9lr25264mIiIiIyO3FK/MiIiKSW0RFQeXKxkikJ580vleubOww16MH1KwJCxYYCanWrWHrVvjsMyMRZDJZt5X6fto024uBe3vD9OnWZR2pm916IiIiIiJye1FSSkQkj4iKgq5d0y9cfuKEsdvd558bO9917Ajffw/r1hmjkcLDYflyqFDBul5wsHE8PNz+NbNbNyfXFBERERHJ1/76y9MR5BqavicikgeYzTB4sO3pcKkKFjSm9dWrl/5ceDh06mR/2l9Gsls3J9cUEREREcmXzp+HYcMyL+fvD4GBLg/H05SUEhHJA2Ji0o+QutXVq3Dxov3z3t7pFzN3VHbr5uSaIiIiIiL5SlKSMfXh8GEoWxbmz4cyZWyXDQyEkBC3hucJSkqJiORyFgt8841jZePiXBuLiIiIiIhkg8UC/fvDt99C4cLGA/6993o6Ko9TUkpEJIcy2g0vs3pbtpjYurUChQubaNbMul5KCqxeDRMmwO7djsUSFJS9exARERERERd65x346CPw8jIWg1VCCsgFC52fPHmSnj17UqpUKQoWLMg999zDbkf/+hIR8TB7u+FFRTlWr1UrH6ZMqU+rVj5p9cxm+OILqFsXOnc2ElL+/lCkSPrd7FKZTFCxopEQExERERGRXGTZMhgxwng9bRo8+qhHw8lNPDpS6ty5czRq1IhmzZqxdu1aSpcuzeHDhylRooQnwxIRcUjqbni3Lj5+8qRx3N4ucxnV69LF2LHu5EnjWNGi8OKLxu56MTFGPZPJum5qomraNC0iLiIiIiKSq+zcCU8/bbweNAheesmz8eQyHk1Kvf3221SsWJFPPvkk7ViVKlU8GJGIiGMy2g3PYjESRUOGGLvP3ZwoyqweGAmpYsWMRNRLL0HJksbx8HAj0TV4sPWi58HBRkLKVgJMREREREQ85OhR6NgRrl2DDh1gyhRPR5TreDQptWrVKtq0acPjjz/Oli1bqFChAgMGDOC5556zWT4xMZHExMS09xcuXAAgKSmJpKQkp8eX2qYr2s7r1De2qV/sy299s2WLiRMn7P8v1GKB48ehZcsUqw01zpyBEycynzm9YEEy7dsbWaqbu6xDB2jfHrZtM6WtYdW4sQVvb+ty+UF++51xFvWLfY72jfpOREREXO78eePB/exZY12OJUs0rcEGjyal/vjjD+bMmcOwYcMYOXIku3btYtCgQRQoUIBevXqlKz9p0iQiIyPTHV+/fj2FChVyWZzR0dEuazuvU9/Ypn6xL7/0zdatFYD6mZbbvDl7S/dt3boXOJlhmYAAuHwZ1q3L1iXyjPzyO+Ns6hf7MuubK1euuCkSERERyfdiYyE+3vpYUpIx5eHXX6FsWWP3oiJFPBNfLufRpFRKSgr169fnzTffBKBu3bocOHCAuXPn2kxKRUREMGzYsLT3Fy5coGLFirRu3ZqAgACnx5eUlER0dDStWrXC19fX6e3nZeob29Qv9uWnvjlzBpYscSzZNGCAmTvuuPH+999h9uzMPyFp1+5emjSpk90Q84X89DvjTOoX+xztm9SR1iIiIiI5EhsLoaHG9Dx7zp0z1vAQmzyalAoKCuKuu+6yOlazZk2+/PJLm+X9/Pzw8/NLd9zX19elD+aubj8vU9/Ypn6xLzf3jdlsLCaeOi0uLMx6hO1ff8HkyTBvHly9mnFbJpOx1tN773mnW1Nq1Spj3Shb60ql1mvWzEeje/+Vm39nPEn9Yl9mfaN+ExEREaeIj884IQVw/bpRLiTEPTHlMdmbV+IkjRo14tChQ1bHfvvtNypVquShiETkdhUVBZUrQ7Nm8OSTxvfKlY3jf/4JAwZAlSrGguJXr8L99xu7uppMN3a/S5XRbnje3jB9unU5R+qJiIiIiIjkNx5NSg0dOpSdO3fy5ptv8vvvv7NkyRLef/99Bg4c6MmwROQ2ExUFXbta72gHxmimLl2galWYM8f4kKNxY2MNp++/h0mTjN3wKlSwrhccbBy3txte6i56Wa0nIiIiIiKSn3h0+t7999/PihUriIiIYNy4cVSpUoVp06bx1FNPeTIsEbmNmM0weLDtqXSpx1JSoEULeP11aNLEukx4OHTqlPG0P1tS623alMzatXtp1+5eTdkTEREREZHbikeTUgCPPvoojz76qKfDEJHbVExM+hFStowenT4hlcrbG5o2zfq1vb2hSRMLly+fpEmTOkpIiYiIiIjIbcWj0/dERDwtLs655URERERE5DZgsRiLwUqOKCklIretmBj4738dKxsU5NpYREREREQkj0hOhj59YOFCT0eS53l8+p6IiLOZzfbXeLJYYMMGmDABtm7NvC2TyViAPCzMtTGLiIiIiEgecPUqdOsGX38NXl7GHxpJSfbL+/tDYKD74stjlJQSkXwlKspYuPzmdaKCg42RtX5+RjLq+++N4wUKGB9w1KkDqZt+3rzguclkfJ82LfOFy0VEREREJJ87fx46dIBt24xk09KlcO+9EB9vv05gIISEuCvCPEdJKRHJN6KioGvX9DvpnThhHE/l7w/PPw+vvGIkrADKlrWfzAoPd3noIiIiIiKSm8XFQZs2sH8/FCsGq1ffmE6hpFO2KSklIvmC2WwklW5NSN3MZIKXXzaSUWXLWp8LD4dOnexP+xMRERERkdvU779D69Zw9CiUKwfr1kHt2p6OKl9QUkpE8oWYGOtRTrZYLPDII+kTUqm8vaFpU6eHJiIiIiIiuV1s7I1peMnJFDtyBH76yUhIvfginDsH1arB+vVQtapnY81HlJQSkXzhzz8dKxcX59o4REREREQkj4mNhdBQuHYNAF+g6a1lTCZjDSklpJxKSSkRydOuXIH33zcWMHdEUJBr4xERERERkTwmPj4tIWWXxXJjJyRxGiWlRCTXMpvtr/F08SLMng3//S+cPWsc8/Y26thiMhkLl6euRSgiIiIiIiKepaSUiORKUVG2d8ObOBGOHTN2xTt3zjhepQpEREBAAPToYRy7ecHz1A80pk3TwuUiIiIiIiK5hZJSIpLrREVB167pd9I7cQJ69brxPjQURo40ElG+vsYxX1/byaxp04wd9kRERERERCR3UFJKRHIVs9lIKt2akLqZry8sWADduqUf+RQeDp062Z/2JyIiIiIiYiU52dMR3LaUlBKRXCUmxnqUky1JSUayyV6iydsbmjZ1emgiIiIiIpLfXLkCw4Z5OorblpenAxARuVlcnHPLiYiIiIiI2PTPP9CqFXz3nacjuW0pKSUiuUpQkHPLiYiIiIiIpHPyJDRpAtu3GzsmFSiQcXl/fwgMdE9stxFN3xORXCWzEVAmk7FweViYe+IREREREZF85rffoHVr+PNPKF8e1q0zElPx8QAkJSfz3bZtNGrcGF+ff9MmgYEQEuLBoPMnJaVEJNdYuBB6977x3mSyXvDcZDK+T5umhctFRERERCQb9uyBtm2NBNSdd8L69VC5snEuNemUlERCXBzUrXtjm29xCU3fE5Fc4aOPoFcvSEmBZ5+FZcugQgXrMsHBsHy5scOeiIiIiIhIlmzcaOyIFB8P990H27bdSEiJR2iklIh43OzZMHCg8XrAAJgxA7y84LHHjN344uKMNaTCwjRCSkREREREMhAbmzYNz8qGDTBqFCQnQ/PmsGKFMWVPPEpJKRHxqGnTYOhQ4/XQofDf/96YpuftbXyQISIiIiIikqnYWAgNhWvX7Jfx8oK5c5WQyiU0fU9EPObtt28kpEaMsE5IiYiIiIiIZEl8fMYJKTDWC7l40T3xSKaUlBIRt7NYYNw4IxEF8MYb8OabSkiJiIiIiIjcTjR9T0RczmyGLVtMbN1agUKFTGzcCG+9ZZx7802IiPBsfCIiIiIiIuJ+GiklIi4VFWVsaNGqlQ9TptSndWuftITUlClKSImIAEyaNIn777+fokWLUqZMGTp37syhQ4esyly7do2BAwdSqlQpihQpQpcuXTh9+nSG7VosFsaMGUNQUBAFCxakZcuWHD582JW3IiIi4jlms6cjkCxSUkpEXCYqCrp2hRMnbJ+vVMm98YiI5FZbtmxh4MCB7Ny5k+joaJKSkmjdujWXL19OKzN06FBWr17NsmXL2LJlC3/99Rfh4eEZtvvOO+/w3nvvMXfuXL7//nsKFy5MmzZtuJbZehsiIiJ5zaFD0Levp6OQLNL0PRFxCbMZBg821o+yxWSCIUOgUydjlz0RkdvZN998Y/V+/vz5lClThj179vDwww+TkJDARx99xJIlS2jevDkAn3zyCTVr1mTnzp089NBD6dq0WCxMmzaN0aNH06lTJwA+/fRTypYty1dffcUTTzzh+hsTERFxNbMZpk6F11/PfJFzyXWUlBIRl4iJsT9CCoxk1fHjRrmmTd0WlohInpCQkABAyZIlAdizZw9JSUm0bNkyrUyNGjUICQlhx44dNpNSR48e5dSpU1Z1ihUrxoMPPsiOHTvsJqUSExNJTExMe3/hwgUAkpKSSEpKyvnN3SK1TVe0nZepX+xT39imfrFPfWNbvuiXX3/F+7nn8Pr+ewBSHnww7XVGkpKTIYP7zhd94wKO9ktW+k1JKRFxuosXYd48x8rGxbk2FhGRvCYlJYUhQ4bQqFEjatWqBcCpU6coUKAAxYsXtypbtmxZTp06ZbOd1ONly5Z1uA4Y61tFRkamO75+/XoKFSqUlVvJkujoaJe1nZepX+xT39imfrFPfWNbbu2XgmfPUuDfD0bSSUkh6PvvuWPlSrySkkgqWJADzzzD2Tp1aPHjj3hnkBQx+/qyad8+rjrwh0hu7RtPy6xfrly54nBbSkqJiNOcOwczZsC0acZrRwQFuTQkEZE8Z+DAgRw4cIBt27Z55PoREREMGzYs7f2FCxeoWLEirVu3JiAgwOnXS0pKIjo6mlatWuHr6+v09vMq9Yt96hvb1C/2qW9sy9X9EhuLT61amByYjpfSujXMnk2tkBDjffPmpPz9t/0KpUrR7N+y9uTqvvEgR/vlgr1kog1KSomIw8xmY7pdXJyRTAoLM9aDOnvWSETNnAmp//+pXt04fv687XWlTCYIDjbaEBERw4svvsjXX3/N1q1bCQ4OTjterlw5rl+/zvnz561GS50+fZpy5crZbCv1+OnTpwm66ROA06dPc++999qNwc/PDz8/v3THfX19Xfpg7ur28yr1i33qG9vUL/apb2zLlf2SkODY+lCvv45XZCReJtONY9WqGV9OkCv7JhfIrF+y0mfafU9EHBIVBZUrQ7Nm8OSTxveKFaFjR+P4m28aCalateDzz+HgQfjwQ6Puzf9G3Px+2jQtci4iAsai5C+++CIrVqxg48aNVKlSxep8vXr18PX15dtvv007dujQIWJjY2nQoIHNNqtUqUK5cuWs6ly4cIHvv//ebh0REZE8pXPn9H9sSJ6ipJSIZCoqCrp2Tb9weVwcrF4NV65AvXrw1Vfw88/QvbuRbAoPh+XLoUIF63rBwcbxTHYyFxG5bQwcOJBFixaxZMkSihYtyqlTpzh16hRXr14FjAXK+/bty7Bhw9i0aRN79uyhT58+NGjQwGqR8xo1arBixQoATCYTQ4YMYcKECaxatYr9+/fz9NNPU758eTp37uyJ2xQRERGxoul7IpIhsxkGD7Y9BS9V6dKwcyf42Pg/Sng4dOoEmzYls3btXtq1u5dmzXw0QkpE5CZz5swBoOkt25F+8skn9O7dG4CpU6fi5eVFly5dSExMpE2bNsyePduq/KFDh9J27gN49dVXuXz5Mv369eP8+fM0btyYb775Bn9/f5fej4iIiIgjlJQSkQzFxKQfIXWrs2dh2za45W+pNN7e0KSJhcuXT9KkSR0lpEREbmHJKPP/L39/f2bNmsWsWbMcbsdkMjFu3DjGjRuX4xhFRETcxoF/FyV/0PQ9EbFr3z4YMcKxsg7sqCoiIiIiIpIxsxkmTvR0FOImGiklcpuxt4PezXbtggkTYNUqx9u9aWMnERERERGRrLt2DZ56Cv5dH1HyP42UErmN2NpBr3Jl4zjAd99B27bwwANGQspkgm7doGxZ+5tamEzGLnxhYe66CxERERERyXcuXIB27Yw/Tnx9ja+M+PtDYKB7YhOX0UgpkdtE6g56t07PPnkSunSBu++GX34xjnl7Q8+eEBEBoaE36ppM1vVTE1XTpqUfbSUiIiIiIuKQ06eNhNRPP0HRorByJVSrBvHx9usEBkJIiPtiFJdQUkrkNpDRDnqpx375xdg975ln4LXXoGrVG2XCw2H5cqONmxc9Dw42ElLh4S4NX0RERERE8qujR6F1a/j9d2Nb72++gfvuM84p6ZTvKSklchtwZAc9gMWLjel6toSHQ6dOma9HJSIiIiIi4pB9+6BNGzh1ylhXZP16uPNOT0clbqSklMhtwNGd8czmjM97e0PTpjkOR0REREREbgexsfan4P34IwwbBhcvQq1asG4dlC/v3vjE45SUErkNOLoznnbQExERERERp4iNNRaovXYt43L16xsjpEqUcE9ckqto9z2R20BYmDE92x7toCciIiIiIk4VH595QgqMRWqVkLptKSklchvYsAHOn7d9TjvoiYiIiIiIxxQs6OkIxIOUlBLJ577+Gjp2hKQkY2RshQrW54ODjZ31tIOeiIiIiIiIuJPWlBLJx6KioHt3SE6GLl1gyRJjNJR20BMRERERERFPU1JKJJ/6/HPo2dPYUa9HD/j0U/D597947aAnIiIiIiIinqbpeyL50KefwlNPGQmpXr1g4cIbCSkRERERERGXunYNJk3ydBSSBygpJZLPfPgh9O4NKSnw3HPw8ceaniciIiIiIm5y+DA0aGAsXCuSCY2dEMmjzOb0a0PNnQsvvmicf/FFeO+9G7vriYiIiIiIuNTSpcYn4xcvQokScOmSseOSPf7+EBjovvgk11FSSiQPioqCwYPhxIkbx4oVg4QE4/XLL8PkyUpIiYiIiIiIG1y7BsOGwZw5xvuwMPjsM+OT9Ph4+/UCAyEkxD0xSq6kpJRIHhMVBV27gsVifTw1IdWlixJSIiIiIiLiRLGx9pNLsbEwahQcPGj8ETJyJLzxxo1FbZV0kgwoKSWSh5jNxgipWxNSN/vhB2M9Ka0jJSIiIiIiORYbC6GhxmiojJQoYYyOatPGPXFJvqCFzkXykJgY6yl7thw/bpQTERERERHJsfj4zBNSAEuWKCElWaaklEgeEhfn3HIiIiIiIiJOUaaMpyOQPEhJKZE8JCjIueVEREREREREPMWjSak33ngDk8lk9VWjRg1PhiSSq4WFQXCw/fMmE1SsaJQTERERERERyc08PlLq7rvvJi4uLu1r27Ztng5JJNfy9oZ+/WyfS91tb9o0LXIuIiIiIiJOkpzs6QgkH/P47ns+Pj6UK1fO02GI5AkXL8LHHxuvCxeGy5dvnAsONhJS4eEeCU1ERERERPKbc+fgpZc8HYXkYx5PSh0+fJjy5cvj7+9PgwYNmDRpEiEhIZ4OSyRXGjYMjh2DypXhp59g715jUfOgIGPKnkZIiYiIiIiIU/z2G3ToYHwXcRGPJqUefPBB5s+fT2hoKHFxcURGRhIWFsaBAwcoWrRouvKJiYkkJiamvb9w4QIASUlJJCUlOT2+1DZd0XZep76xzZX9smaNiQ8/9MFksvDRR2YKF7bQqNGN8ykpxldupd8Z29Qv9qlvbFO/2Odo36jvREREMrFhAzz+OJw/D+XLQ3w8XL9uv7y/PwQGui08yT88mpRq165d2uvatWvz4IMPUqlSJb744gv69u2brvykSZOIjIxMd3z9+vUUKlTIZXFGR0e7rO28Tn1jm7P75cKFAgwa1AzwoWPHI1y8+Atr1jj1Em6j3xnb1C/2qW9sU7/Yl1nfXLlyxU2RiIiI5EGzZ8OgQWA2Q4MGsGIFJCYaiSl7AgNBM54kGzw+fe9mxYsXp3r16vz+++82z0dERDBs2LC09xcuXKBixYq0bt2agIAAp8eTlJREdHQ0rVq1wtfX1+nt52XqG9tc0S8WC/To4c35817UrGlh4cJK+PtXckrb7qTfGdvUL/apb2xTv9jnaN+kjrQWERG57cTG3kguJSdT7MgRY10QHx9jQfOZM2HhQuP8f/4D779vjIICJZ3EJXJVUurSpUscOXKE//znPzbP+/n54efnl+64r6+vSx/MXd1+Xqa+sc2Z/bJkCURFGf9OLFxoomjRvN3f+p2xTf1in/rGNvWLfZn1jfpNRERuS7GxEBoK164B4As0tVf2rbfg1VdvbPEt4iJenrz4K6+8wpYtWzh27Bjbt2/nsccew9vbmx49engyLJFc4+RJGDjQeP3661CvnmfjERERERGRPCo+Pi0hlaEpU+C115SQErfw6EipEydO0KNHD/7++29Kly5N48aN2blzJ6VLl/ZkWCK5gsUCffsaawvefz9ERHg6IhERERERyfeaNPF0BHIb8WhS6vPPP/fk5UVytXnzYN06Ywr3p5+CZpuIiIiIiIhIfuLR6XsiYtvvv8PLLxuv33oLatTwbDwiIiIiIiIizqaklEguYzZDr15w5Qo0awYvveTpiEREREREREScT0kpkVzm3Xdh+3YoWhQ++QS89F+piIiIiIjkhMUCn33m6ShE0vHomlIiYoyMiomBuDhjdNTo0cbx996DSpU8G5uIiIiIiORx58/DM8/AihWejkQkHSWlRDwoKgoGD4YTJ6yP169vTOETERERERHJtl27oFs3OHYMfP798z852X55f38IDHRLaCKgpJSIx0RFQdeuxkjaW+3ZY3yQER7u/rhERERERCSPs1iMqRfDh0NSElSpAl98AWXKQHw8AEnJyXy3bRuNGjfGNzVhFRgIISEeDFxuN0pKiXiA2WyMkLKVkEo1ZAh06gTe3m4LS0RERERE8oLY2LTkUjoXLsCkSbB+vfG+Sxf48EMoXtx4n5p0SkoiIS4O6tYFX1+Xhyxii5JSIh4QE5N+yt7NLBY4ftwo17Sp28ISEREREZHcLjYWQkPh2rWMy/n6wpQpMHAgmEzuiU0ki5SUEvGAuDjnlhMRERERkdtEfHzmCSkwtvJ+6inXxyOSA9psXsQDgoKcW05ERERERMRKzZqejkAkU0pKiXhAWBiUL2//vMkEFSsa5URERERERETyIyWlRDzA2xuqVbN9LnW697RpWuRcRERERERE8i8lpUQ8YNkyYxFzk8nYlfVmwcGwfDmEh3smNhERERERERF30ELnIm526hT072+8HjkSIiONBFVcnLGGVFiYRkiJiIiIiIgdW7d6OgIRp1FSSsSNLBZ47jn4+2+4914YM8ZIQDVt6unIREREREQk1/v0U3j5ZU9HIeI0mr4n4kYffwxffw0FCsDChcZ3ERERgK1bt9KhQwfKly+PyWTiq6++sjp/+vRpevfuTfny5SlUqBBt27bl8OHDGbY5f/58TCaT1Ze/v78L70JERFzmv/+FXr0gJQW8MvlT3t8fAgPdE5dIDmiklIibHD0KQ4YYrydMgFq1PBqOiIjkMpcvX6ZOnTo888wzhN+ysKDFYqFz5874+vqycuVKAgICmDJlCi1btuTgwYMULlzYbrsBAQEcOnQo7b0pdUcNERHJGywWGDEC3nnHeP/yy/Dii/DPP/brBAZCSIh74hPJASWlRNwgJQV694ZLl6BxYxg2zNMRiYhIbtOuXTvatWtn89zhw4fZuXMnBw4c4O677wZgzpw5lCtXjs8++4xnn33Wbrsmk4ly5cq5JGYREXGx5GR4/nljygXA22/Dq68arytX9lhYIs6ipJSIG0ybZqxHWLgwLFighcxFRCRrEhMTAaym3nl5eeHn58e2bdsyTEpdunSJSpUqkZKSwn333cebb76Zltiyd63U6wFcuHABgKSkJJKSknJ6K+mktumKtvMy9Yt96hvb1C/25dm+uXoV75498Vq9GouXF+a5c7H07g1Ouo882y9uoL6xzdF+yUq/KSkl4mIHDxq77AFMmQJVq3o2HhERyXtq1KhBSEgIERERzJs3j8KFCzN16lROnDhBXFyc3XqhoaF8/PHH1K5dm4SEBN59910aNmzIL7/8QnBwsM06kyZNIjIyMt3x9evXU6hQIafd062io6Nd1nZepn6xT31jm/rFvtzYNwXPnqXAv8n/m3lfvUqtjz+mxB9/YPb1Zfcrr3CqTBlYs8bpMeTGfskt1De2ZdYvV65ccbgtJaVEXCgpCf7zH0hMhHbtjJ33REREssrX15eoqCj69u1LyZIl8fb2pmXLlrRr1w6LxWK3XoMGDWjQoEHa+4YNG1KzZk3mzZvH+PHjbdaJiIhg2E3zzC9cuEDFihVp3bo1AQEBzrupfyUlJREdHU2rVq3w9fV1evt5lfrFPvWNbeoX+3Jt38TG4lOrFqZr1+wWsQCW+fO57/HHnX75XNsvuYD6xjZH++WCjUSrPUpKibjQhAnw449QsiR89BFobVkREcmuevXqsXfvXhISErh+/TqlS5fmwQcfpH79+g634evrS926dfn999/tlvHz88PPz89mXVc+mLu6/bxK/WKf+sY29Yt9ua5vEhIgg4QUgAnwqVED9P9fj1Df2JZZv2SlzzLZR1JEsmvXLpg40Xg9ezYEBXk2HhERyR+KFStG6dKlOXz4MLt376ZTp04O1zWbzezfv58g/aMkIiIiuYBGSok4idkMW7aY2Lq1Aj4+JoYNM4498QR07+7p6EREJLe7dOmS1Qimo0ePsnfvXkqWLElISAjLli2jdOnShISEsH//fgYPHkznzp1p3bp1Wp2nn36aChUqMGnSJADGjRvHQw89xB133MH58+eZPHkyf/75Z4YLo4uIiIi4i5JSIk4QFQWDB8OJEz5AfaZMMY4XLw6zZnkyMhERySt2795Ns2bN0t6nruvUq1cv5s+fT1xcHMOGDeP06dMEBQXx9NNP8/rrr1u1ERsbi5fXjYHw586d47nnnuPUqVOUKFGCevXqsX37du666y733JSIiIhIBnKUlEpMTLS55oDI7SQqCrp2BVvrzJ4/D5s3Q3i4u6MSEZG8pmnTphkuWj5o0CAGDRqUYRubN2+2ej916lSmTp3qjPBEREREnC5La0qtXbuWXr16UbVqVXx9fSlUqBABAQE0adKEiRMn8tdff7kqTpFcyWw2RkjZ+xvCZIIhQ4xyIiIiIiIiabKwQ5lIfuVQUmrFihVUr16dZ555Bh8fH1577TWioqJYt24dH374IU2aNGHDhg1UrVqVF154gbNnz7o6bpFcISYGTpywf95igePHjXIiIiIiIiIAXLlifHotcptzaPreO++8w9SpU2nXrp3VOgWpunXrBsDJkyeZMWMGixYtYujQoc6NVCQXiotzbjkREREREcnnkpKM9T9+/jnzsv7+EBjo+phEPMShpNSOHTscaqxChQq89dZbOQpIJC9xdEdt7bwtIiIiIiKkpEDv3rB2LRQsCAsXQpUq9ssHBkJIiNvCE3G3LC10fuHCBYoUKZJutJTZbOby5csEBAQ4NTiR3C4sDIKD7U/hM5mM82Fh7o1LRERERERyGYsFBg2CJUvAxwe+/BLatfN0VCIe5fBC5ytWrKB+/fpcu3Yt3blr165x//33s3r1aqcGJ5LbeXvD9Om2z5lMxvdp04xyIiIiIiJyG4uMhFmzjD8UPv1UCSkRspCUmjNnDq+++iqFChVKd65w4cK89tprzJw506nBieQF5cvbPh4cDMuXQ3i4e+MREREREZFc5r33jKQUwMyZ0KOHZ+MRySUcTkodOHCApk2b2j3/8MMPs3//fmfEJJKnvP668b1PH4iOTmbYsN1ERydz9KgSUiIiIiIit73Fi2HwYON1ZCQMGODZeERyEYfXlDp37hzJycl2zyclJXHu3DmnBCWSV2zZAhs2gK8vjB0L5ctbuHz5JE2a1NGUPRERERGR20VsLMTHpz8eEwPDhhmvBw268Ym2iABZSEpVrlyZ3bt3U6NGDZvnd+/eTaVKlZwWmEhuZ7Hc+DflueegUiVjd1cREREREbmNxMZCaCjYWH85jZcXDB16Y+FZEQGyMH0vPDycUaNGcfr06XTnTp06xejRo+nSpYtTgxPJzaKjjQ8+/P1h1ChPRyMiIp6WmJjo6RBERMQT4uMzTkgBpKTAP/+4Jx6RPMThkVIjRoxg5cqV3HnnnfTs2ZPQ0FAAfv31VxYvXkzFihUZMWKEywIVyU0sFhg92njdv7/9xc5FRCT/Wrt2LZ9//jkxMTEcP36clJQUChcuTN26dWndujV9+vShvP6BEBEREbHL4aRU0aJF+e6774iIiGDp0qVp60cVL16cnj17MnHiRIoWLeqyQEVyk6+/hl27oFAhUC5WROT2smLFCl577TUuXrxI+/btee211yhfvjwFCxbkn3/+4cCBA2zYsIHx48fTu3dvxo8fT+nSpT0dtoiIiEiu43BSCqBYsWLMnj2bWbNmER8fj8VioXTp0pg0L1ZuIykpN9aSGjwYypTxbDwiIuJe77zzDlOnTqVdu3Z4eaVfCaFbt24AnDx5khkzZrBo0SKGDh3q7jBFRMRdMtgQTEQylqWkVCqTyaRP/OS29eWX8PPPEBAAr7zi6WhERMTdduzY4VC5ChUq8NZbb7k4GhER8ZikJFiwAMaM8XQkInmWw0mp+Ph4Ro0aRUJCAqNHj6ZWrVqujEskVzKbYexY4/WwYVCypGfjERERz7lw4QJFihRJN1rKbDZz+fJlAgICPBSZiIhkW2yssXC5PYGBEBRkJKMmToRjx9wWmkh+5PDue71796Zs2bI89thjtG/fHovF4sq4RHKlzz6D//s/Ixk1ZIinoxEREU9ZsWIF9evX55qN3ZauXbvG/fffz+rVqz0QmYiIZFtsLISGQr169r+qVYOqVeG554yEVNmyxqfVIpItDielfvzxR7p37063bt04deoUZ8+edWVcIrlOUhK88Ybx+tVXoVgxj4YjIiIeNGfOHF599VUKFSqU7lzhwoV57bXXmDlzpgciExGRbIuPBxsfNlhJToYTJ4xk1JQp8McfxkKz/v4Z1/P3N0ZZiYgVh6fvde7cmYiICCpXrkzt2rUpo9Wd5TazYAEcOWIsbP7ii56ORkREPOnAgQPMnj3b7vmHH36Y0aNHuzEiERFxm2HDYPx4YytugJAQOHQo82l/ISHuiU8kD3E4KTVz5kw+//xzzp07x/jx410Zk0iuk5ho/LsDEBEBhQt7Nh4REfGsc+fOkZzBbktJSUmcO3fOjRGJiIjbPPXUjYRUqpAQJZ1EssHhpJSXlxdPPvmkK2MRybU+/NCYYl6hArzwgqejERERT6tcuTK7d++mRo0aNs/v3r2bSpUquTkqERERkbzF4TWlRG5XV67AhAnG69GjM58uLiIi+V94eDijRo3i9OnT6c6dOnWK0aNH06VLFw9EJiIiIpJ3OJSUatu2LTt37sy03MWLF3n77beZNWtWjgMTyS3mzIFTp6ByZXjmGU9HIyIiucGIESMoWrQod955JwMGDGD69OlMnz6d/v37U716dYoUKcKIESM8HaaIiGTF1auejkDktuPQ9L3HH3+cLl26UKxYMTp06ED9+vUpX748/v7+nDt3joMHD7Jt2zbWrFnDI488wuTJk10dt4hbXLoEb71lvB4zBgoU8Gw8IiKSOxQtWpTvvvuOiIgIli5dmrZ+VPHixenZsycTJ06kaNGiHo5SREQclpRkbLEtIm7lUFKqb9++9OzZk2XLlrF06VLef/99EhISADCZTNx11120adOGXbt2UbNmTZcGLOJO771nbKJx553wn/94OhoREclNihUrxuzZs5k1axbx8fFYLBZKly6NyWTydGgiIpIVKSnQuzds3555WX9/Yyc9EXEKhxc69/Pzo2fPnvTs2ROAhIQErl69SqlSpfD19XVZgCLuZjZDTAz8/ju8+aZx7I03wMfh/1pEROR2YjKZKF26tKfDEBGR7LBYYPBgWLLEeOD/8EO45x775QMDtcueiBNl+8/sYsWKUaxYMWfGIuJxUVHGv0knTtw45uOjaXsiImItPj6eUaNGkZCQwOjRo6lVq5anQxIRkeyIjISZM8Fkgk8/hR49PB2RyG1Fu++J/CsqCrp2tU5IASQnQ7duxnkRERGA3r17U7ZsWR577DHat2+PxWLxdEgiIpJV771nJKXASEwpISXidkpKiWBM2Rs82Bi9a8+QIUY5ERGRH3/8ke7du9OtWzdOnTrF2bNnPR2SiIhkxeLFxh8AAOPGwYABno1H5DalVXJEMNaQunWE1M0sFjh+3CjXtKnbwhIRkVyqc+fOREREULlyZWrXrk2ZMmU8HZKIiDjqf/+DXr2M14MGwejRno1H5DampJQIEBfn3HIiIpK/zZw5k88//5xz584xfvx4T4cjIiK3io01ttEGSE6m2JEj8NNPsG8fDBxoTIHo2ROmTjXWkxIRj1BSSgQICnJuORERyd+8vLx48sknPR2GiIjYEhsLoaFw7RoAvkDTW8t4eRlbbHtpRRsRT3Laf4E///wz3t7e2a7/1ltvYTKZGDJkiLNCEnFYWBgEB9s/bzJBxYpGORERERERycXi49MSUnalpEBCgnviERG7nJoWzu7OM7t27WLevHnUrl3bmeGIOMzbG0aOtH0udTTvtGlGORERub21bduWnTt3Zlru4sWLvP3228yaNcsNUYmIiIjkPQ5P3wsPD8/wfEJCAqZszMW9dOkSTz31FB988AETJkzIcn0RZ/nhB+O7nx8kJt44HhxsJKQy+U9ARERuE48//jhdunShWLFidOjQgfr161O+fHn8/f05d+4cBw8eZNu2baxZs4ZHHnmEyZMnezpkERERkVzJ4aTU6tWradWqFWXLlrV53mw2ZyuAgQMH8sgjj9CyZctMk1KJiYkk3pQtuHDhAgBJSUkkJSVl6/oZSW3TFW3ndfmtbw4dgk8/9QFMREcnk5hoLGoeFASNG1vw9gZHbjW/9YszqW9sU7/Yp76xTf1in6N9k9O+69u3Lz179mTZsmUsXbqU999/n4R/p4CYTCbuuusu2rRpw65du6hZs2aOriUiIiKSnzmclKpZsyZdunShb9++Ns/v3buXr7/+OksX//zzz/nxxx/ZtWuXQ+UnTZpEZGRkuuPr16+nUKFCWbp2VkRHR7us7bwuv/TNf/9bj5SUYB54II5//jGGTAUEwOXLsG5d1tvLL/3iCuob29Qv9qlvbFO/2JdZ31y5ciXH1/Dz86Nnz5707NkTMEaMX716lVKlSuHr65vj9kVEJAeSkz0dgYg4yOGkVL169fjxxx/tJqX8/PwICQlx+MLHjx9n8ODBREdH4+/v71CdiIgIhg0blvb+woULVKxYkdatWxMQEODwtR2VlJREdHQ0rVq10gPmLfJT3+zfD9u2Gf8pzJoVSJ067bPdVn7qF2dT39imfrFPfWOb+sU+R/smdaS1MxUrVoxixYo5vV0REcmikyfhhRc8HYWIOMjhpNTcuXMznKJXs2ZNjh496vCF9+zZw5kzZ7jvvvvSjpnNZrZu3crMmTNJTExMt5ufn58ffn5+6dry9fV16YO5q9vPy/JD30yYABYLdOsG9es7517yQ7+4ivrGNvWLfeob29Qv9mXWN+o3EZF8at066NnT2H1PRPIEh3ffW7p0abokUU60aNGC/fv3s3fv3rSv+vXr89RTT7F3716nXkvEnj17YMUK8PKCN97wdDQiIiIiIpJlyckwahS0bWskpGrWhAIFMq7j7w+Bge6JT0TscnikVJ8+fWjbti1lypRxyoWLFi1KrVq1rI4VLlyYUqVKpTsu4iqvv258f+op498uERERERHJQ06ehB49ICbGeN+/P0yZAmfOpI2YSkpO5rtt22jUuDG+Pv/+CRwYCFlYfkZEXMPhpJTFYnFlHCJut307rF0L3t4wdqynoxERERERkXRiY+1Px9u+HcaMgXPnoGhR+OAD6N7dOBcSciPplJREQlwc1K0LmsItkqs4nJQCY5tjV9q8ebNL2xe5WeooqT59oFo1z8YiIiL5w+nTp0lMTMzS5i8iImJHbCyEhsK1axmXu+su+OoruPNOt4QlIs6TpaRUixYt8PHJuMqPP/6Yo4BE3GHjRuOrQIEbySkRERFHXbx4kf79+xMTE0PTpk354IMPGDp0KHPmzMFkMtG4cWNWr17tkt2BRURuG/HxmSekAD78UAkpkTwqS0mpNm3aUKRIEVfFIuIWFsuNRFS/fppKLiIiWTdy5Ej27NnDK6+8QlRUFN26dePIkSPExMRgNpvp378/b7/9NhMnTvR0qCIi+Z+NHdpFJG/IUlJq+PDhTlvoXMRT1q0zpp/7+8PIkZ6ORkRE8qKVK1eyYMECmjVrRpcuXQgODmbVqlU0atQIgHfeeYeXX35ZSSkRERGRDHg5WtDV60mJuIPFAqNHG68HDoSgIM/GIyIiedOZM2e44447AChfvjwFCxakevXqaedr1arF8ePHPRWeiIiISJ7gcFLK1u57b731FufPn3dmPCIutXIl7NkDhQvDa695OhoREcmrSpUqxdmzZ9Ped+rUieLFi6e9v3TpEn5ZnE6ydetWOnToQPny5TGZTHz11VdW50+fPk3v3r0pX748hQoVom3bthw+fDjTdpctW0aNGjXw9/fnnnvuYc2aNVmKS0TEY777ztMRiIiLOZyUOnr0KKVLl7Y69uabb/LPP/84PSgRV0hJMXaMBRg8GG75dRYREXFY7dq12bVrV9r7JUuWWC1xsGvXLmrWrJmlNi9fvkydOnWYNWtWunMWi4XOnTvzxx9/sHLlSn766ScqVapEy5YtuXz5st02t2/fTo8ePejbty8//fQTnTt3pnPnzhw4cCBLsYmIuFVyMkREwKBBno5ERFzM4TWlKlWqlO6YrdFTIrnVsmWwfz8UKwavvOLpaEREJC9bvHgxXl72P9srW7ZslteTateuHe3atbN57vDhw+zcuZMDBw5w9913AzBnzhzKlSvHZ599xrPPPmuz3vTp02nbti3Dhw8HYPz48URHRzNz5kzmzp2bpfhERNzi+HHo0UOjpERuEw6PlBLJy5KTYexY4/XLL0OJEp6NR0RE8raZM2dSoEABu+fbtWtH06ZNnXa9xMREAPz9/dOOeXl54efnx7Zt2+zW27FjBy1btrQ61qZNG3bs2OG02EREnGbNGqhb10hIBQTA7NnG7kQZ8feHwED3xCciTpel3fdudfDgQcqXL++sWERcZvFiOHQISpY0pu6JiIjkRGRkJC+88AKFChVyy/Vq1KhBSEgIERERzJs3j8KFCzN16lROnDhBXFyc3XqnTp2ibNmyVsfKli3LqVOn7NZJTExMS4IBXLhwAYCkpCSSkpJyeCfppbbpirbzMvWLfeob2/J0vyQl4TV2LN7vvguApW5dkpcsgWrVoHVr+Ptv+3VLlTJ2L8rgvvN037iQ+sU+9Y1tjvZLVvotR0mpihUr5qS6iEuZzRATY4wAHjHCOPbaa8aHLiIiIjnh7iUMfH19iYqKom/fvpQsWRJvb29atmxJu3btnB7LpEmTiIyMTHd8/fr1Lk3CRUdHu6ztvEz9Yp/6xrbc2i8Fz56lwL9J7psVOHeOuxYtovixYwD80b49v/TpQ8qhQ8anypmJiwMH18nLrX3jaeoX+9Q3tmXWL1euXHG4rSwlpWbPnk1UVBQlS5bk+eefp0WLFmnn4uPjeeCBB/jjjz+y0qSIS0RFGSOiTpy4cczLC4KDPReTiIjkLyaTya3Xq1evHnv37iUhIYHr169TunRpHnzwQerXr2+3Trly5Th9+rTVsdOnT1OuXDm7dSIiIhg2bFja+wsXLlCxYkVat25NgAs+2UlKSiI6OppWrVrh6+vr9PbzKvWLfeob23J1v8TG4lOrFqZr1+wWsQDmGTOo+PzzOHvoQ67uGw9Sv9invrHN0X65YCMBbY/DSan33nuPiIgI+vTpQ0JCAu3bt+eNN94gIiICALPZzJ9//unwhUVcJSoKunaFWz84TkmBnj2Naefh4Z6JTURE8o/q1atnmphyxS7FxYoVA4zFz3fv3s348ePtlm3QoAHffvstQ4YMSTsWHR1NgwYN7Nbx8/PDz88v3XFfX1+XPpi7uv28Sv1in/rGtlzZLwkJkEFCCsAE+DRsCPr/jNupX+xT39iWWb9kpc8cTkrNmzePDz74gCeffBKA/v3707lzZ65evcq4ceMcvqCIK5nNxgipjGYyDBkCnTqBt7fbwhIRkXwoMjIyLUHkDJcuXeL3339Pe3/06FH27t1LyZIlCQkJYdmyZZQuXZqQkBD279/P4MGD6dy5M61bt06r8/TTT1OhQgUmTZoEwODBg2nSpAn//e9/eeSRR/j888/ZvXs377//vtPiFhEREckuh5NSR48epWHDhmnvGzZsyMaNG2nZsiVJSUlWn8CJeEpMjPWUvVtZLMYaUzEx4MRNkURE5Db0xBNPUKZMGae1t3v3bpo1a5b2PnUKXa9evZg/fz5xcXEMGzaM06dPExQUxNNPP83rr79u1UZsbCxeXjc2V27YsCFLlixh9OjRjBw5kjvvvJOvvvqKWrVqOS1uERERkexyOCkVGBjI8ePHqVy5ctqxWrVqsXHjRpo3b85ff/3livhEsiSDDYiyVU5ERMQWV6wn1bRp0wwXLR80aBCDBg3KsI3NmzenO/b444/z+OOP5zQ8EREREafzyryIoXHjxkRFRaU7ftddd/Htt9+ydu1apwYmkh1BQc4tJyIiYou7d98TEcnTfvjB0xGISC7l8EipESNGsGfPHpvn7r77bjZu3MiXX37ptMBEsiMszNhh7+RJ2+tKmUzG+bAw98cmIiL5R0pKiqdDEBHJG5Yvh5de8nQUIpJLOTxS6quvvqJ79+52z9eqVYuxY8c6JSiR7PL2hunT7SekAKZN0yLnIiIiIiIuN28edOsGycmejkREcimHk1KRkZFcunTJlbGIOEWLFmBjJ2uCg40PasLD3R+TiIiIiMhtw2KBCRPghReM108+Cf7+Gdfx94fAQPfEJyK5hsPT97R2guQVCxdCYiLUrAmzZsGpU8YaUmFhGiElIiIiIuJSKSkwZAjMmGG8f/11iIw0tsCOj7dfLzAQQkLcEqKI5B4OJ6XANTvNiDiTxQJz5hivBwyAm3bWFhERERERV7p+HXr3hs8+M96/996N9aRCQpR0EpF0spSUql69eqaJqX/++SdHAYnkxNatcPAgFCoE//mPp6MREREREclHYmPtj3a6ehVGjjQeyH184NNPoUcP98YnInlOlpJSkZGRFCtWzFWxiORY6iipp54C/aqKiIiIiDhJbCyEhsK1axmX8/eHFSugbVv3xCUieVqWklJPPPEEZcqUcVUstzWzGWJiIC5O6x9l16lTEBVlvB4wwLOxiIiIiIjkK/HxmSekAObOVUJKRBzmcFJK60m5TlQUDB4MJ07cOBYcDNOna6e4rPjoI0hKgocegnvv9XQ0IiIiIiK3oXvu8XQEIpKHeDlaULvvuUZUFHTtap2QAjh50jieOvJHMmY2w/vvG681SkpEREREREQk93M4KZWSkqKpe05mNhsjpGzl+1KPDRlilJOMrVljTHMvVQoef9zT0YiIiIiIiIhIZhxOSonzxcSkHyF1M4sFjh83yknGZs82vvfpY6ytKCIiIiIiIiK5m5JSHhQX59xyt6sjR2DdOuP1Cy94NhYRERERkXxp3z5PRyAi+ZCSUh4UFOTccrerefOMUWVt2kC1ap6ORkREREQkH7FY4L//hWef9XQkIpIPObz7njhfWJixy97Jk7bXlTKZjPNhYe6PzRXMZmMqYlyckWgLCwNv75y1ee0afPyx8VoLnIuIiIiIONHff0Pv3vD118Z7Ly9ISbFf3t8fAgPdEpqI5A9KSnmQtzdMnw5dutg+b7HAtGk5T9zkBlFRxqLuN6+hFRxs3H94ePbbXb7c+LeyYkV45JGcxykiIiIiIsCOHdC9u7HIrZ+f8eDetq3x8G1PYCCEhLgvRhHJ85SU8rDwcKhZE/7v/9KfK1IEWrVyf0zOFhUFXbumHw128qRxfPny7CemUhc479cvfyTvRERERERcLjYW4uNtn0tJgRUr4J13IDkZ7rwTvvgC7r3XOF+pktvCFJH8T0kpDztwwEhIeXnB558b/98vUwb694fDh40PJEaP9nSU2Wc2GyOkbE1PtFiMKYpDhkCnTllPKv38s/EBjo+PpriLiIiIiDgkNhZCQ411MDLzxBPGAq4BAa6PS0RuS1ro3MPmzDG+d+4Mjz8OPXpAixYQGWkcf/ddOHfOY+HlWEyM9ZS9W1ksxojgmJist53ad+HhUK5c9uITEREREbmtxMc7lpAaNQqWLFFCSkRcSkkpD7p4ERYuNF737299rnt3qFULEhJgyhT3x+YscXHOLZfqwgVYtMh4fWvfiYiIiIhIDoWHG9MaRERcSEkpD1q82EhMVa8OzZtbn/PygnHjjNfTpsHZs24PzylKlXKsXFBQ1tpduBAuXzbW42rSJOtxiYiIiIiIiIhnKSnlIRbLjelnL7xgJKFu1bkz3HcfXLpkrDOY11y9Cv/9b+blAgMhLMzxdi2WGwuc9++vD3BERERERERE8iIlpTxkxw7Ytw8KFoTevW2XMZlg/Hjj9axZWZ/i5kmXL8Mjj8D69VCggHHMXvLo3DlYtcrxtmNi4OBBKFQInn4657GKiIiIiNw28tIfFSKS7ykp5SGpI32eeAJKlLBfrl07aNDAGHU0aZJ7YsupixeNuDdtgiJFYMMG+PJLqFDBulxwMDRqZOzQ9/jjsHSpY+2njjB76ikoVsy5sYuIiIiI5EsWC3zwAXTr5ulIRETSKCnlAWfPwrJlxuvMFuk2mWDCBOP1vHnGDq652fnz0Lq1MZqpWDGIjjam5oWHw7FjRqJqyRLj+7FjsGWLMdrJbIYnn7yx8Ls9p08bCS7QAuciIiIiIg6JjYU2baBfP7hyxdPRiIik8fF0ALejTz6B69ehfn24//7MyzdvDs2aGYmciRON5FRu9M8/RkJqzx4oWdKYulev3o3z3t7QtGn6ep98Ykzx+/BD6NXL6Ju+fW1f46OPICkJHnoI6tZ1yW2IiIiIiOQNsbEQH2+8Tk6m2JEj8NNP4PPvn3mlSsG6dfDKK8Z0Bn9/GD4cJk+Ga9fst+vvbyz8KiLiYkpKuVlKCsyda7zOykif8eOhcWP4+GN49VWoVs018WXX2bPQsqWxTlbp0sYIqTp1HKvr5WUk2vz8jLWznn0WEhNhwADrcmbzjYScRkmJiIiIyG0tNhZCQ9OSS75A01vLeHkZf4AANGxofBpcvbrxwJ2azLIlMBBCQlwQtIiINSWl3GzdOjh6FIoXN9aTclSjRtC2LXzzDYwbBwsWuCzETJnNsGWLia1bK1C4sIkaNYzRwAcPQrly8O23cNddWWvTywtmzDASU1OmwMCBRmJq6FDjejEx8PXXxr+9JUpoKryIiIiI3Obi4zMe7QRGQqpAAXjrLRg0yJi6AEbCSUknEckFlJRys9RFunv3NnaPy4rx442k1KJFEBEBNWo4PbxMRUXB4MFw4oQPUJ8pU4zRwcnJxkLmGzcaH75kh8kE775rJKYmTYJhw4ypgFu2wIkTN8olJcGaNcY6VSIiIiIikoGlS6FzZ09HISJikxY6d6M//zRG+wC88ELW69evb/x7kpICb7zhzMgcExUFXbtaJ4jASEgBjBqV/YRUKpPJWDcr9f4WL05/vcuXjTiionJ2LRERERGRfE8jokQkF1NSyo3ef9/YibVFC2P6d3ZERhrfly411m9yF7PZGCFlsdg+bzIZo5vM5pxfy2SC0aON3ftsSY1hyBDnXE9ERERERERE3E9JKTe5ft3YXQ5ytkh37drQvbvxesyYnMflqJiY9COWbmaxwPHjRjlnXS8hwX3XExERERHJM65ehSVLPB2FiEiOaU0pN4mKgjNnICgIOnbMWVtvvAHLlsHKlbB7tzGtz9VOnnSsXFycc67naDvOup6IiIiIiMfExjq2G97Vq8b0i7feglOn3BefiIiLKCnlJqkLnPfrB76+OWurRg34z3+MHfhefx3Wrs15fPYkJRkLq7/+umPlg4Kcc11H23HW9UREREREPCI21ljbI6Od9Pz8YMQImDfvRjKqXDklpkQkz9P0PTf45RfYutXYgfW555zT5pgxxq5333wDM2bAZ5/B5s1ZW2PJbDbq2KqbmAhz58Kdd8IzzxgjpUwm+22ZTFCxIoSFZfOGbhEWBsHB9q/p7OuJiIiIiHhEfHzGCSkwHs4jI40kVKVKxmipmBjw98+4nr+/McpKRCSX0kgpN0gdJdWpE1So4Jw2q1aFZs0gOhoGDbpxPDgYpk+H8PCM60dFGQuX37xOVHAwvPOOMc3wnXfgr7+M42XKwCuvQPnyxggtsF7wPDVxNG2akXhzBm9v4z66djXad/X1RERERERytXLlYNw46NULChQwjh06lDbtLyk5me+2baNR48b4+vz7Z17qtD8RkVxKSSkXu3QJPv3UeJ2TBc5vFRUFGzakP37ypJHIWb7cfmIqKsooc+tOeidOwJNP3nhfoQK89ho8+ywULGgcK1jQdjJr2rTME2FZFR5u3Ie7riciIiIikmt99RU8+KD1sZCQG0mnpCQS4uKgbt2crxciIuImSkq52OLFcPGiMQ2ueXPntGk2G4maW5NKYBwzmWDIEGNk1q0jiTKqm8rbG2bOhD59jOnrNwsPN9rdtCmZtWv30q7dvTRr5uOyEUup14uJMRY1DwoypuxphJSIiIiI3FaUaBKRfEhJKReyWG5M3evfH7yctIJXTIz1yCFb1z1+3BitmzqyN9X163D+fMbtm83GYuq3JqRSeXtDkyYWLl8+SZMmdVyeIPL2hqZNXXsNERERERGPyOjBXkQkn1NSyoV27oSffzbWF+zVy3ntxsU5Vi6z5JMzriEiIiIiItlw6RJMmgSTJ3s6EhERj1FSyoVmzza+9+gBJUs6r92gIMfKffQR3H+/9bFdu6BvX+ddQ0REREREssBigSVLjMVbT570dDQiIh7l0aTUnDlzmDNnDseOHQPg7rvvZsyYMbRr186TYeWI2WxMr/vtN/j8c+OYMxc4B2NNpeBg498wW2tDmUzG+V690q+9dNddMHZs5nXDwpwbs4iIiIhIvhcbm7Ybnk1xccboqO++M95XqQIREcZ22teu2a/n72+szSEiks94NCkVHBzMW2+9xZ133onFYmHBggV06tSJn376ibvvvtuToWVLVFT6neJ8fY31nW4dsZQT3t4wfbqxg57JZJ1cMpmM79Om2V4MPCd1RURERETEjthYCA3NOLmUqlAhGDUKhg0zEk5t2mSczAoMvLHLnohIPuLRpFSHDh2s3k+cOJE5c+awc+fOPJeUiooyEj23jj5KSjKOL19u7CTnLOHhRpu3JsGCg42kUkbXykldERERERGxIT7esYRUu3bwwQdQocKNYyEhSjqJyG0p16wpZTabWbZsGZcvX6ZBgwaeDidLzGYjwWNrOlyqIUOgUyfnjkAKDzfajIkxRgIHBRnT7hy5Rk7qioiIiIhINk2YYJ2QEhG5jXk8KbV//34aNGjAtWvXKFKkCCtWrOCuu+6yWTYxMZHExMS09xcuXAAgKSmJpKQkp8eW2mZmbW/ZYuLECftdabEYU/g2bUqmSZMMMlfZ1KjRjdcpKcaXq+s62je3G/WLfeob29Qv9qlvbFO/2Odo36jvRERERHIHjyelQkND2bt3LwkJCSxfvpxevXqxZcsWm4mpSZMmERkZme74+vXrKVSokMtijI6OzvD81q0VgPqZtrN27V4uX85fO2xk1je3K/WLfeob29Qv9qlvbFO/2JdZ31y5csVNkYjIbcNigR07PB2FiEie4/GkVIECBbjjjjsAqFevHrt27WL69OnMmzcvXdmIiAiGDRuW9v7ChQtUrFiR1q1bExAQ4PTYkpKSiI6OplWrVvj6+totV7iwiSlTMm+vXbt7adKkjhMj9BxH++Z2o36xT31jm/rFPvWNbeoX+xztm9SR1rnN1q1bmTx5Mnv27CEuLo4VK1bQuXPntPOXLl1ixIgRfPXVV/z9999UqVKFQYMG8cILL9htc/78+fTp08fqmJ+fH9ccWfdGRDJnsUB0NLzxhpJSIiLZ4PGk1K1SUlKspujdzM/PDz8/v3THfX19Xfpgnln7zZoZi4SfPGl7XSmTyTjfrJlPvluzydV9n1epX+xT39imfrFPfWOb+sW+zPomt/bb5cuXqVOnDs888wzhNnYdGTZsGBs3bmTRokVUrlyZ9evXM2DAAMqXL0/Hjh3tthsQEMChQ4fS3ptSt9sVEftiYzPeDa9UKTh0yDoZVaAAXL/ulvBERPILjyalIiIiaNeuHSEhIVy8eJElS5awefNm1q1b58mwsszbG6ZPN3bZu1Xqc9+0aVpEXEREROxr164d7dq1s3t++/bt9OrVi6ZNmwLQr18/5s2bxw8//JBhUspkMlGuXDlnhyuSf8XGQmhoxjvpmUw3Po3294f+/aFtW2jTxj0xiojkE16evPiZM2d4+umnCQ0NpUWLFuzatYt169bRqlUrT4aVLeHhsHw53DqLMDjYOG7jA08RERERhzVs2JBVq1Zx8uRJLBYLmzZt4rfffqN169YZ1rt06RKVKlWiYsWKdOrUiV9++cVNEYvkUfHxGSekwEhI+fnBsGFw9ChMmQI1ahgJqoz4+0NgoPNiFRHJ4zw6Uuqjjz7y5OWdLjwcoqJg8WLo1s34wCQsTCOkREREJOdmzJhBv379CA4OxsfHBy8vLz744AMefvhhu3VCQ0P5+OOPqV27NgkJCbz77rs0bNiQX375heDgYJt1cutux7cb9Yt9Lu+b5GQcmeSbFBUFqR+mJyVBUBAcOAB//22/UqlSRjn9t+RW6hvb1C/2qW9sc8VOx7luTam87sgR4/vjj8O/o+tFREREcmzGjBns3LmTVatWUalSJbZu3crAgQMpX748LVu2tFmnQYMGNGjQIO19w4YNqVmzJvPmzWP8+PE26+TW3Y5vV+oX+1zVN8WOHKGpA+W++/VXErL6B2tcnJG4ciH9ztinvrFN/WKf+sY2Z+50rKSUk/32m/G9enXPxiEiIiL5x9WrVxk5ciQrVqzgkUceAaB27drs3buXd999125S6la+vr7UrVuX33//3W6Z3Lrb8e1G/WKfy/vmp58cKtaocWOoW9f5188m/c7Yp76xTf1in/rGNlfsdKyklBP9/Tf884/x+o47PBuLiIiI5B+pU+e8vKyXA/X29iYlJcXhdsxmM/v376d9+/Z2y+TW3Y5vV+oX+1zWNz6O/Ynk6+MDufBno98Z+9Q3tqlf7FPf2ObMnY6VlHKiw4eN78HB4MLR7SIiIpIPXbp0yWoE09GjR9m7dy8lS5YkJCSEJk2aMHz4cAoWLEilSpXYsmULn376KVOmTEmr8/TTT1OhQgUmTZoEwLhx43jooYe44447OH/+PJMnT+bPP//k2Wefdfv9ieQZy5d7OgIRkduGklJOpKl7IiIikl27d++mWbNmae9Tp9D16tWL+fPn8/nnnxMREcFTTz3FP//8Q6VKlZg4cSIvvPBCWp3Y2Fir0VTnzp3jueee49SpU5QoUYJ69eqxfft27rrrLvfdmEheMncu/JvUFRER11NSyolSk1J33unZOERERCTvadq0KRaLxe75cuXK8cknn2TYxubNm63eT506lalTpzojPJH8b+5cY/tsMLbPNpvtl/X3h8BA98QlIpKPKSnlRKnT9zRSSkREREQkD5kzBwYMMF6/8gq8+KKxYKw9gYEQEuKe2ERE8jElpZxII6VERERERPKYWxNS77wDJhNUquTZuEREbgNemRcRR1gsGiklIiIiIpKn2EtIiYiIWygp5SRxcXD5sjH9vEoVT0cjIiIiIiIZUkJKRMTjNH3PSVKn7lWuDAUKeDQUEREREREBiI2F+Pj0x7/4At5+23g9fLjxWgkpERG3U1LKSTR1T0REREQkF4mNhdBQuHbNfhlvbxg4UAkpEREP0fQ9J0kdKaWklIiIiIhILhAfn3FCCsBszniXPRERcSklpZxEO++JiIiIiIiIiDhOSSkn0fQ9ERERERERERHHKSnlBGYzHDlivFZSSkREREREREQkc0pKOUHs/7d379FRlecex3+TEHKRENBAQoCEoBigykWLNKCAily8FEqPtUorHD0iGlouB6qgFqzLFbVqRaRqpQVZLSBwAK2KgghBrhqERb1FiGAEEligXEMgl/f8MSZkkr2TyW3vTOb7WSvL2Xv27Hny+K7Fw8O73zdHOn9eCg+XOnZ0OxoAAAAgyB0/Ls2a5XYUAIBq0JSqB6XrSV12mRRCRgEAAAD3vPuudMUV0r//7XYkAIBq0EKpByxyDgAAALjs+HHpv/9buuUW6eBBHmEAgADQzO0AmgIWOQcAAAAaUE6OdPSo93VRkWKys6WdO6VmP/51Zvdu6dFHvc0oj0eaPFkaN07q1UsqKLC/b0SEFBvb4OEDAKzRlKoHpTOlaEoBAAAA9SwnR0pJKWsuhUkaZHdtly7S/PlS//7e46ysC80sK7GxUmJiPQYLAKgJmlL1gMf3AAAAgAZy9GjVs51KjR4t/e1vUlTUhXOJiTSdAKARY02pOjp3Tvr2W+9rZkoBAAAALpkyxbchBQBo9GhK1dE330glJVJ0tBQX53Y0AAAAAAAAgYGmVB2Vf3TP43E3FgAAAKBJMUb67DO3owAANBDWlKojdt4DAAAA/FR+Fz0rpQuPnz0rLVkizZ0r7djhXHwAAEfRlKojdt4DAAAA/FBhFz1L4eHS3XdLy5dLP/zgPRcWJhUWOhMjAMBRPL5XR6Uzpdh5DwAAAKiCP7vonTsnvfaatyHVqZP09NPS6tWOhAcAcB4zpeqImVIAAABAPerfX5o+XRo2TAoN9c6wioiouqEVEeF99A8AEFBoStXB6dPSoUPe18yUAgAAAOrBiy9KV1114TgxUcrKKluLqrCoSJs3bVL/a69VWLMf/zpTuhYVACCg0JSqg717vf+NjZVat3Y3FgAAAKDRys+XVq2q/ecTEy80nQoLdSI3V+rd27veFAAgYNGUqgMe3QMAAEDQ8XcHPcm7AOvLL0vz50vHjzsSHgAgcNCUqoPSphSP7gEAACAo+LODXkSE9NJL0tKl0po1F863by8dPNjwMQIAAgZNqToo3XmPmVIAAAAICv7soFdQIP3P/3hfezzSzTdLaWlSmzZSnz4NHyMAIGDQlKoDHt8DAAAALMTESPffL40fLyUne8+xix4AoAKaUnVQOlOKx/cAAACAclavllJTfc9V2EXPErvoAUBQoSlVS8eOeX8k6bLL3I0FAAAAcIQx/l0XHm59vvwuegCAoBfidgCBqnSWVIcO0kUXuRsLAAAA0KCMkT74QLr3XrcjAQA0IcyUqiUe3QMAAEBAy8mp/lG6jh2ldeukWbOkzZsdCw0AEBxoStUSi5wDAAAgYOXkSCkpVS86HhYm9egh7djhPQ4Pl0aNkhYvdiZGAECTx+N7tVTalGKmFAAAAALO0aNVN6QkqbDQ25CKiJAmTpS++UZ66invcVXYQQ8A4CdmStVS6eN7zJQCAABAk3XnndJzz0nt2l04xw56AIB6QlOqFozh8T0AAAAEgalTfRtSEjvoAQDqDY/v1UJennTmjBQSIiUnux0NAAAAAABA4KEpVQuls6SSk6Xmzd2NBQAAAKiR4mJp2TK3owAAgMf3aoNH9wAAABCQMjKk3/9e2r3b7UgAAKApVRuli5yz8x4AAABcl5NT/cLjxkjTpl2YIRUdLZ065Ux8AADYoClVC8yUAgAAQKOQkyOlpEgFBfbXNGsmhYZK5855F0W9/35p3DgpNbXqz0VEeBtaAAA0EJpStUBTCgAAAI3C0aNVN5YkqajI+zNggPTii1LPnt7zWVnVz7Bilz0AQAOiKVVDxcVSdrb3NY/vAQAAICCkp0sPPSR5PBfOJSbSdAIAuIrd92ooJ0c6f14KD5c6dnQ7GgAAAMAPQ4b4NqQAAGgEaErVUOki55de6n00HwAAAAAAADVHU6qGWE8KAAAAjcYnn7gdAQAAtUZTqoZoSgEAAMB1334r3X67NH6825EAAFBrNKVqqPTxPRY5BwAA9Wnjxo267bbblJCQII/Ho1WrVvm8f/r0aU2YMEEdOnRQZGSkunfvrldeeaXa+y5btkxdu3ZVRESErrzySr377rsN9BugznJypE8/9f7s3KmY7Gxp584L53JypPx8aeZMqWtXafly1okCAAQ0dt+rIWZKAQCAhnDmzBn17NlT99xzj0aNGlXp/SlTpujDDz/UP//5T3Xq1Elr1qzRgw8+qISEBP385z+3vOeWLVt05513Kj09XbfeeqsWLVqkkSNH6tNPP9UVV1zR0L8SaiInR0pJkQoKJElhkgZVvCYsTIqNlXJzvceDBkkPPyyNHFn2OUsREd7PAQDQyNCUqoHz56X9+72vaUoBAID6NHz4cA0fPtz2/S1btmjMmDEaNGiQJGncuHF69dVX9fHHH9s2pWbPnq1hw4Zp2rRpkqQnnnhCa9eu1UsvveTXLCs46OjRqhtLklRY6G1IJSVJzz4r/fKX3plSWVnez9uJjZUSE+s3XgAA6gFNqRr45huppERq0UKKi3M7GgAAEEz69eunt956S/fcc48SEhK0YcMGff311/rLX/5i+5mtW7dqypQpPueGDh1a6dHA8s6dO6dz586VHZ88eVKSVFhYqMLCwrr9EhZK79kQ9w4oRUUK8+Oy4vvuU8mzz0qRkVJRkfdku3ben6o0ofwyZqyRF3vkxhp5sUdurPmbl5rkzdWmVHp6ulasWKGvvvpKkZGR6tevn55++mmlpKS4GZat8o/u8fg+AABw0pw5czRu3Dh16NBBzZo1U0hIiF577TUNGDDA9jN5eXmKq/AvaXFxccrLy7P9THp6uh5//PFK59esWaOoqKja/wLVWLt2bYPdOxDEZGdXflzPwkddu+rE+vUNHU5ACPYxY4e82CM31siLPXJjrbq85Ofn+30vV5tSGRkZSktLU58+fVRUVKQZM2ZoyJAh+uKLL3TRRRe5GZql0kXOeXQPAAA4bc6cOdq2bZveeustJSUlaePGjUpLS1NCQoIGDx5cb98zffp0n9lVJ0+eVMeOHTVkyBC1bNmy3r6nVGFhodauXaubbrpJYWH+zBVqonbu9Ouy/tdeK/Xu3cDBNG6MGWvkxR65sUZe7JEba/7mpXSWtT9cbUq99957PscLFixQ27ZttWPHjir/1c8tpTOl2HkPAAA46ezZs5oxY4ZWrlypW265RZLUo0cP7dq1S88++6xtUyo+Pl6HDx/2OXf48GHFx8fbfld4eLjCw8MrnQ8LC2vQwryh7++onBz/13g6e1Z64w3pmWf8unVYs2beBc/RtMZMPSIv9siNNfJij9xYqy4vNclZo1pT6sSJE5Kkiy++2OVIrLHzHgAAcEPpek4hISE+50NDQ1VSUmL7udTUVK1bt06TJk0qO7d27VqlpqY2VKiosIuepYgIac0a6a23pH/8Q/r+e+fiAwCgEWk0TamSkhJNmjRJ/fv3t92i2O2FN/fsaSbJo+TkIhUWmnr/vkDCwm/WyIs9cmONvNgjN9bIi72GWHzTSadPn9bevXvLjvf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      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'print(\"ENERGIAS Y EFICIENCIAS --------------------------------------------------\")\\nprint(f\"Tiempo estable: {t_estable} min\")\\nprint(f\"Valor medio de (T2-T1) a partir de t_estable: {deltaT:.1f} °C\")\\nprint(f\"Pendiente (dT3/dt) a partir de t_estable: {pendiente:.4f} °C/min\")\\n\\n# Cálculos de energías (se asume que las funciones E_1, E_2, y las constantes c_p_normal, c_p_destilada están definidas)\\ne1 = E_1(primer_caudal, c_p_normal, deltaT)\\ne2 = E_2(c_p_destilada, pendiente)\\n\\n# Cálculo de eficiencias (funciones definidas en otro lugar)\\nprint(f\"Eficiencia foco-agua circulante: {rendimiento_foco_circulante(e1, E_ps)*100}%\")\\nprint(f\"Eficiencia agua circulante-agua auxiliar: {rendimiento_circulante_auxiliar(e1, e2)*100}%\")\\nprint(f\"Eficiencia global: {rendimiento_global(e2)*100}%\")'"
      ]
     },
     "execution_count": 874,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#PRIMER SET\n",
    "\n",
    "tiempo = primer_set[:, 0]       # Tiempo en minutos\n",
    "diff = primer_set[:, 1]         # Diferencia T2-T1 (°C)\n",
    "T3 = primer_set[:, 2]           # Temperatura T3 (°C)\n",
    "\n",
    "plt.figure(figsize=(12, 5))\n",
    "plt.suptitle(f'Caudal: {primer_caudal_rpm} RPM ({primer_caudal} ml/min)', fontsize=16)\n",
    "\n",
    "# Gráfica de T2-T1 vs Tiempo\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.plot(tiempo, diff, marker='o', linestyle='-', color='blue')\n",
    "plt.xlabel('Tiempo (min)')\n",
    "plt.ylabel('T2-T1 (°C)')\n",
    "plt.title('Diferencia (T2-T1) vs Tiempo')\n",
    "plt.grid(True)\n",
    "\n",
    "# Gráfica de T3 vs Tiempo\n",
    "#plt.subtitle('Primer Set')\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.plot(tiempo, T3, marker='s', linestyle='-', color='red')\n",
    "plt.xlabel('Tiempo (min)')\n",
    "plt.ylabel('T3 (°C)')\n",
    "plt.title('T3 vs Tiempo')\n",
    "plt.grid(True)\n",
    "\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "\n",
    "t_estable = 27  # minuto a partir del cual se toman los datos estables\n",
    "indices_estables = np.where(tiempo >= t_estable)[0]\n",
    "\n",
    "# Calcular la media de (T2-T1) a partir de t_estable\n",
    "deltaT = np.mean(diff[indices_estables])\n",
    "\n",
    "# Ajuste lineal de T3 vs tiempo a partir de t_estable para obtener la pendiente (dT3/dt)\n",
    "x_est = tiempo[indices_estables]\n",
    "y_est = T3[indices_estables]\n",
    "pendiente, intercept = np.polyfit(x_est, y_est, 1)  # pendiente es dT3/dt\n",
    "\n",
    "#REVISAR EL CODIGO Y FUNCIONES DE ABAJO\n",
    "\"\"\"print(\"ENERGIAS Y EFICIENCIAS --------------------------------------------------\")\n",
    "print(f\"Tiempo estable: {t_estable} min\")\n",
    "print(f\"Valor medio de (T2-T1) a partir de t_estable: {deltaT:.1f} °C\")\n",
    "print(f\"Pendiente (dT3/dt) a partir de t_estable: {pendiente:.4f} °C/min\")\n",
    "\n",
    "# Cálculos de energías (se asume que las funciones E_1, E_2, y las constantes c_p_normal, c_p_destilada están definidas)\n",
    "e1 = E_1(primer_caudal, c_p_normal, deltaT)\n",
    "e2 = E_2(c_p_destilada, pendiente)\n",
    "\n",
    "# Cálculo de eficiencias (funciones definidas en otro lugar)\n",
    "print(f\"Eficiencia foco-agua circulante: {rendimiento_foco_circulante(e1, E_ps)*100}%\")\n",
    "print(f\"Eficiencia agua circulante-agua auxiliar: {rendimiento_circulante_auxiliar(e1, e2)*100}%\")\n",
    "print(f\"Eficiencia global: {rendimiento_global(e2)*100}%\")\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SEGUNDO SET\n",
    "\n",
    "tiempo = segundo_set[:, 0]       # Tiempo en minutos\n",
    "diff = segundo_set[:, 1]         # Diferencia T2-T1 (°C)\n",
    "T3 = segundo_set[:, 2]           # Temperatura T3 (°C)\n",
    "\n",
    "plt.figure(figsize=(12, 5))\n",
    "plt.suptitle(f'Caudal: {segundo_caudal_rpm} RPM ({segundo_caudal} ml/min)', fontsize=16)\n",
    "\n",
    "# Gráfica de T2-T1 vs Tiempo\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.plot(tiempo, diff, marker='o', linestyle='-', color='blue')\n",
    "plt.xlabel('Tiempo (min)')\n",
    "plt.ylabel('T2-T1 (°C)')\n",
    "plt.title('Diferencia (T2-T1) vs Tiempo')\n",
    "plt.grid(True)\n",
    "\n",
    "# Gráfica de T3 vs Tiempo\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.plot(tiempo, T3, marker='s', linestyle='-', color='red')\n",
    "plt.xlabel('Tiempo (min)')\n",
    "plt.ylabel('T3 (°C)')\n",
    "plt.title('T3 vs Tiempo')\n",
    "plt.grid(True)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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68dtvv6UYo715eXmxadMmXnjhBX777TeaNm0av83d3Z0PP/yQadOmER4enqDovK+vLwB37txJtm1LjaRHe5lYKyAggDZt2gBw9+5dfv31V/773/+yYcMGxo4dy/Tp01M8vnPnzuTOnRuTyYSXlxclSpSgefPm1KlTJ9Vzly1bNj45dObMGT777DNy5MiRZHHytLDUH0rpfnz77bcEBQXxww8/JBqiOGTIEPbt28ehQ4dSnQDAMhTU29s7yUL0aZHcEE1LT7jktvv6+nL9+nWri/afOHGCkydPEhQUlKCnk61iAdI8gUBy7Vnew5Tas+yTXF05ERGRzExJKRERyZJq1qzJsmXL+Pnnn4mNjU1zXalXX32Vffv2UbduXYKDg6lWrRr58+ePH9JWtGhRLl26FN8byVpxcXFp2j81Xbp04bfffuP555/n3Xff5YknniBPnjx4eHjw4MGDdBelTo9y5crx66+/smHDBvbv309ERASBgYF06dKFkiVL8u677wJQtWrV+GNKlSoFGEMYk2PZZtk3LSpVqpSoR9NHH33EP//5T2bMmEHjxo2T7KFj8cEHH6TrvBb9+vVj9+7dvPXWWxw6dIhWrVrF18hKL8uMeiklG/39/dm7dy/bt29nx44dXLt2jYCAAF544QVq1apF0aJFgYTvRVIsNbA6d+6c7sLsFqn1yrJVDzrL0L1HZ91zViy2aM+ShMxo8ltERMQVKSklIiJZ0vPPP8/QoUO5efMm69evp1OnTlYfe+fOHTZt2kSOHDnYtGlTfBLg0e2XL19O8ljLsKhbt27F96p41J9//ploXbFixQBSnO0uqW0nT57k6NGj+Pv7s2bNGtzdE/6zfvr06WTbsxd3d3c6deqU6H5///33xMbGUqVKlQRDsJ5++mkArl27RmhoaJK9xR4tWm8LgwcP5j//+Q/Lly9n6NChtGrVKtG9s5UuXbowePBgNmzYAGR8CBw8rJOW2uyPJpOJli1bJpp97syZM1y6dImCBQumeE+vX78eX9Q9IwXOHe27774jZ86cPP/8884OxSYs73N6ZooUERFxdSp0LiIiWVLZsmV56aWXAHj77be5fv16ivv//fff8bWXIiIiiI2NJU+ePIkSUgDLly9PtoeUJcH0+++/J9p29OjRJHsENWrUCJPJxM8//5xkPadff/01yaF7lmsqWrRokkmV5cuXJxmjM3zwwQeAkRB6VPHixalduzYAK1asSHTcvn37OH/+PJ6enin2aEqr6dOn4+3tzalTp1i2bJnN2n1crly56NOnDwULFqR06dJ07Ngxw21aEkknTpxI1/GW9+K1115LsabWl19+SVRUFGXLlqVx48bpOpejnT17ll9//ZUWLVqka7inq4mLi4v/f0nNmjWdHI2IiIjtKSklIiJZ1kcffUS5cuUIDQ2lQYMGSdaHevDgAZ999hlPP/10/B9/AQEB5M+fn5s3byZKWPz444+MHDky2XO2aNECgODgYKKiouLXnzt3jt69eyeZzAoMDKRTp07ExcXRv3//BMOybty4wYABA5I8rkKFCri5uXHs2LFEs4Ft2LCBWbNmJRtnci5evEilSpWoVKlSisWXk/Lrr78mqo1z9+5dBg8ezJYtW6hfvz6vvvpqouNGjRoFwHvvvZdghrFr164xYMAAAAYNGpTh4WOPKlq0aHyCbPLkycTExNis7cfNmTOH8PBwzp49a5PhlJZ6XQcOHEh2nxMnTiQa3hcTE8PUqVP5+OOPKVeuHKNHj07xPJahe/369ctQYXZHsmboXmby22+/ERERQYUKFeIT3iIiIlmJklIiIpJl5c+fnx9++IEmTZrw+++/07BhQ8qUKUPHjh3p0aMHzZs3p2DBgrzyyivcvn07vs6Om5sb48aNA6BXr148++yz9OjRgwYNGlCvXj2ef/55SpYsmeQ5R40aRb58+di0aRMVKlSgS5cuNG7cmCeeeAI/Pz/q1auX5HHz58+nbNmy7Nq1i9KlS9O5c2eCgoIoU6YMV65cSVSsGsDPz49BgwYRGxtL8+bNadKkCT169KBmzZp06NCBYcOGpfmeRUdHc+rUKU6dOkV0dHSajh0/fjz+/v40adKEl156ieeff57ixYszb948nnnmGdavX59kbZ2OHTvyz3/+k9u3b/Pss8/Stm1bunTpQrly5Th27Bj169dn0qRJab6W1IwYMYJ8+fJx9uxZlixZYvP27aV06dI89dRTXLx4MckeeQCLFy8mICCABg0a0K1bNzp27Ejx4sUZPXo0ZcuWJSQkBB8fn2TP8csvv3DkyBHc3NwyXJjdkb777jvc3d154YUXnB2KTWzfvh3AJj3sREREXJGSUiIikqX5+/uzc+dONm/eTK9evXBzc+P7779n1apVnDhxgrp16zJ79mxCQ0N55pln4o8bMmQIa9eupV69epw6dYoNGzYQFRXF/Pnz+fzzz5M9X+nSpdm/fz9BQUHcunWLjRs3cuXKFUaPHs2mTZviC6U/rnDhwvz0008MHjyYXLlysXHjRg4ePEj37t358ccfky1yPGvWLD799FOefvppDh8+zKZNm8iVKxdff/21XRI5KenWrRv16tXj9OnTrF69mv3791O1alU+/vhj9u/fn+JMb3PmzGHlypXUrVuX/fv3s2nTJooXL857773Hjh078Pb2tnm8+fPnZ/jw4QBMmTKFBw8e2Pwc9jJo0CCAREXcLdq1a0fr1q0JCwtj3bp17Ny5k8DAQGbMmMHRo0dTLd5u6SXVunXr+GStq7tw4QL/+c9/aNSoEQULFnR2ODbx+eefkyNHDvr37+/sUEREROzCZE7rtEEiIiIi4lR3796lVKlSuLu7c+7cuRRrQ2UXllkV58+fHz/sMzM7fPgwtWrVolOnTqxevdrZ4YiIiNiFekqJiIiIZDK5cuViypQpXLp0icWLFzs7HJdQuHBhxo8fT5cuXZwdik2MGzeOnDlzMn36dGeHIiIiYjfqKSUiIiKSCcXFxfHMM89w4cIFzpw5k2KNKMlc9u3bR8OGDRk2bBgzZsxwdjgiIiJ2o6SUiIiIiIiIiIg4nIbviYiIiIiIiIiIwykpJSIiIiIiIiIiDqeklIiIiIiIiIiIOJySUiIiIiIiIiIi4nBKSomIiIiIiIiIiMMpKSUiIiIiIiIiIg6npJSIiIiIiIiIiDicklIiIiIiIiIiIuJwSkqJiIiIiIiIiIjDKSklIiIiIiIiIiIOp6SUiIiIiIiIiIg4nJJSIiIiIiIiIiLicEpKiYiIiIiIiIiIwykpJSIiIiIiIiIiDqeklIiIiIiIiIiIOJySUiIiIiIiIiIi4nBKSomIiIiIiIiIiMMpKSUiIiIiIiIiIg6npJSIiIiIiIiIiDicklIiIiIiIiIiIuJwSkqJ2NmECRMwmUwJ1sXExPDuu+9SokQJcuTIQceOHZ0TnI0sXboUk8nEuXPnbNrujBkzqFSpEnFxcTZt19Gio6MpUaIECxYscHYoaZLUZ1dEREQkLfr06UOpUqWcHYaIuCglpUTSwJJ8sfx4eXlRtGhRWrduzdy5c7l165ZV7Xz22We8//77dOnShc8//5y33nrLzpFnPpGRkUyfPp3hw4eTI0cO+vTpk+DeJ/fTp08f4uLiWLp0KR06dKBEiRL4+PhQpUoVJk+ezP3795M95+Pvb3I/lgerS5cuMWLECJo2bYqvry8mk4ldu3YlatfDw4OhQ4cyZcqUFM/vCKVKlbLqGpcuXerUOEVERLIia/4NtjxP3Lt3j1deeYUqVaqQN29ecufOTbVq1ZgzZw7R0dGZ5jpERFJiMpvNZmcHIZJZLF26lL59+zJx4kRKly5NdHQ0ly9fZteuXYSEhBAYGMj69et56qmn4o+JiYkhJiYGLy+v+HXdu3dn3759XLhwwRmXYXOxsbFER0fj6elps541s2fPZvz48Vy5cgUvLy8OHDjAmTNn4reHhoYybtw4XnvtNRo2bBi/vmzZslStWhVfX1+effZZnn/+efz9/Tlw4ACff/45jRo1YseOHUnGefbsWfbv359g3auvvsozzzzDa6+9Fr8ud+7cdOzYkV27dtG0aVPKly+Pn58fBw4cYOfOnTRp0iRR2zdv3iQgIICFCxfSr18/G9yh9Fm7di23b9+Of71p0ya++uorZs2ahZ+fX/z6evXqERgYmOizKyIiIum3fPnyBK+/+OILQkJCWLZsWYL1LVu2xMPDg3bt2tGoUSNKlSpFjhw52L9/P8uXL6d79+6sWLHCkaEnkJbrKFCgAHFxcXh6ejoyRBHJJJSUEkkDS1Lq4MGD1KpVK8G2HTt2xCdAfv/9d7y9vZNtp1mzZvz9998cP37cJnGZzWbu37+f4jkzm2rVqvHUU08lerixOHToELVr12bJkiX06dMnwbYHDx5w6NAh6tWrl2D9xIkTGT9+PCEhIbRo0cKqOHLnzk2XLl2S7Dl069YtoqOjKVCgAKtWreLFF19MNikF0L59eyIiItizZ49V53aEDz74gGHDhhEaGqqu9SIiIg42aNAg5s+fT1r+JBs8eDDz5s3j0qVLFC5c2I7RWS891yEiAhq+J2IzzZo1Y+zYsfz5558Jvj16tC7PuXPnMJlM7Ny5k99++y1R1+a4uDhmz57Nk08+iZeXFwEBAbz++uvcuHEjwblKlSrF888/z9atW6lVqxbe3t58/PHHgNEjZ8iQIZQoUQJPT0/KlSvH9OnTE9RlssTxwQcfsHjxYsqWLYunpye1a9fm4MGDia7t5MmTdO3alUKFCuHt7U3FihUZPXp0/PakakqtW7eO5557jqJFi+Lp6UnZsmWZNGkSsbGxqd7L0NBQjh49anXi6HE5c+ZMlJAC6NSpEwC///57utp9nK+vLwUKFLB6/5YtW7Jv3z6uX7+e7D5XrlzB3d2d4ODgRNtOnTqFyWRi3rx5gFGrKjg4mPLly+Pl5UXBggVp0KABISEhab+YJCRXU2r58uXUrFkTb29vChQoQPfu3Tl//nyCfZo0aUKVKlU4evQojRs3JleuXJQrV45Vq1YBsHv3burUqRP/edq+fXuS57Z89vLkyUPBggV58803Ew2BjImJYdKkSfGf41KlSjFq1CiioqJsch9ERERcieVLpJs3bya7z6FDhzCZTHz++eeJtm3duhWTycTGjRsB40u2IUOGUKpUKTw9PfH396dly5b8/PPPNok3qZpSaX3m3bVrV/wzb9WqVeOfnVevXk3VqlXx8vKiZs2a/PLLL4nOnTt3bs6ePUvr1q3x8fGhaNGiTJw4MVEC7c6dO7z99tvxz9AVK1bkgw8+UKJNxM6UlBKxoZdffhmAbdu2Jbm9UKFCLFu2jEqVKlG8eHGWLVvGsmXLqFy5MgCvv/46w4YNo379+syZM4e+ffvy5Zdf0rp160S1A06dOsVLL71Ey5YtmTNnDtWrV+fu3bs0btyY5cuX06tXL+bOnUv9+vUZOXIkQ4cOTRTPihUreP/993n99deZPHky586dIygoKMG5jh49Sp06ddixYwf/+Mc/mDNnDh07dmTDhg0p3oulS5eSO3duhg4dypw5c6hZsybjxo1jxIgRqd5HyxC6GjVqpLpvWly+fBkgwTA1R6pZsyZmsznREMFHBQQE0LhxY7755ptE21auXImbmxsvvvgiYCRugoODadq0KfPmzWP06NEEBgba7CEyKVOmTKFXr16UL1+emTNnMmTIEL7//nsaNWqU6OH4xo0bPP/889SpU4cZM2bg6elJ9+7dWblyJd27d6ddu3a899573Llzhy5duiRZk61r167cv3+fadOm0a5dO+bOnZtgKCUYQyzHjRtHjRo1mDVrFo0bN2batGl0797dbvdBRETEUR48eEB4eDjnz59nzZo1fPDBB5QsWZJy5cole0ytWrUoU6ZMss8T+fPnp3Xr1gC88cYbLFy4kM6dO7NgwQLeeecdvL29bfYlXlLS8sz7xx9/0KNHD9q3b8+0adO4ceMG7du358svv+Stt96iZ8+eBAcHc+bMGbp27ZpogpzY2FjatGlDQEAAM2bMoGbNmowfP57x48fH72M2m+nQoQOzZs2iTZs2zJw5k4oVKzJs2LAkn6FFxIbMImK1JUuWmAHzwYMHk90nb9685qeffjr+9fjx482P/6fWuHFj85NPPplg3d69e82A+csvv0ywfsuWLYnWlyxZ0gyYt2zZkmDfSZMmmX18fMz//e9/E6wfMWKE2c3NzRwWFmY2m83m0NBQM2AuWLCg+fr16/H7rVu3zgyYN2zYEL+uUaNGZl9fX/Off/6ZoM24uLhE9yU0NDR+3d27dxPdm9dff92cK1cu8/379xNte9SYMWPMgPnWrVvJ7nPw4EEzYF6yZEmKbT2qRYsW5jx58phv3Lhh9TE+Pj7m3r17p7rft99+awbMO3fuTHafv/76ywyYp0+fnmJbH3/8sRkwHzt2LMH6J554wtysWbP419WqVTM/99xzqcaWkvfffz/Re2fx+Gf33LlzZjc3N/OUKVMS7Hfs2DGzu7t7gvWNGzc2A+YVK1bErzt58qQZMOfIkcP8448/xq/funVrovfScu4OHTokONeAAQPMgPnXX381m81m85EjR8yA+dVXX02w3zvvvGMGzDt27LD+ZoiIiDjYwIEDEz0nPu6rr74yA/E/tWrVMh89ejTVtkeOHGn28PBI8KwXFRVlzpcvn7lfv37x6/LmzWseOHBg+i/CnPJ19O7d21yyZMn41+l55t2/f3/8Ostzg7e3d4LnU8vz06PPYr179zYD5sGDB8evi4uLMz/33HPmnDlzmq9evWo2m83mtWvXmgHz5MmTE8TUpUsXs8lkMv/xxx/W3wwRSRP1lBKxsdy5c1s9C9+jvv32W/LmzUvLli0JDw+P/6lZsya5c+dm586dCfYvXbp0/Ddcj7bRsGFD8ufPn6CNFi1aEBsbm6iWUbdu3cifP3/8a0vB8LNnzwJw9epV9uzZQ79+/QgMDExwbGoFzR+tb3Xr1i3Cw8Np2LAhd+/e5eTJkykee+3aNdzd3cmdO3eK+6XF1KlT2b59O++99x758uWzWbtpYbnX4eHhKe4XFBSEu7s7K1eujF93/PhxTpw4Qbdu3eLX5cuXj99++43Tp0/bJ+DHrF69mri4OLp27Zrg81W4cGHKly+f6DOaO3fuBL2VKlasSL58+ahcuTJ16tSJX29ZtnzuHjVw4MAErwcPHgwYBdof/f34t5hvv/02AP/+97/Tda0iIiKuomnTpoSEhPDtt9/yxhtv4OHhwZ07d1I9rlu3bkRHR7N69er4ddu2bePmzZuJnid++ukn/vrrL7vE/7i0PvM+8cQT1K1bN/615bmhWbNmCZ5PU3qeGDRoUPyyyWRi0KBBPHjwIL58wKZNm3Bzc+Of//xnguPefvttzGYzmzdvzuBVi0hy3J0dgEhWc/v2bfz9/dN83OnTp4mIiEj22L///jvB69KlSyfZxtGjRylUqJBVbTyeaLIkTSzj+S3/qFepUsWKK0jot99+Y8yYMezYsYPIyMgE2yIiItLcXkasXLmSMWPG8Morr9C/f/8E2yxD+izy5s1rt4Lx5v/VJEgtoefn50fz5s355ptvmDRpEmBcg7u7O0FBQfH7TZw4kRdeeIEKFSpQpUoV2rRpw8svv5xg9kdbOn36NGazmfLlyye53cPDI8Hr4sWLJ7rWvHnzUqJEiUTrgER1JIBE5ypbtiw5cuSIr1/2559/kiNHjkRDGAoXLky+fPn4888/U78wERERFxYQEEBAQAAAXbp0YerUqbRs2ZLTp0+nWOi8WrVqVKpUiZUrV/LKK68AxvOEn58fzZo1i99vxowZ9O7dmxIlSlCzZk3atWtHr169KFOmjF2uJ63PvI8/r1qeG6x9nsiRI0eia6lQoQJAgueJokWL4uvrm2A/S4kNPU+I2I+SUiI2dOHCBSIiIlIc45+cuLg4/P39+fLLL5Pc/niiKanESVxcHC1btuTdd99Nsg3LP8AWbm5uSe5nzmBBx5s3b9K4cWPy5MnDxIkTKVu2LF5eXvz8888MHz480Vj/xxUsWJCYmBhu3bqV6OEgrUJCQujVqxfPPfccixYtSrS9SJEiCV4nNZufrVgekqypadW9e3f69u3LkSNHqF69Ot988w3NmzdPcGyjRo04c+YM69atY9u2bXzyySfMmjWLRYsW8eqrr9o8/ri4OEwmE5s3b07ys/N4z7bkPl8Z+dwll9BLLdEnIiKSVXTp0oXRo0ezbt06Xn/99RT37datG1OmTCE8PBxfX1/Wr1/PSy+9hLv7wz8Du3btSsOGDVmzZg3btm3j/fffZ/r06axevZq2bdvaPP60PvPa43lCRFyHklIiNrRs2TKARMPqrFG2bFm2b99O/fr1091Tp2zZsty+fTvds9Y9zvKt0vHjx9N03K5du7h27RqrV6+mUaNG8etDQ0OtOr5SpUrx+2ek189PP/1Ep06dqFWrFt98802CBzCLx2eqe/LJJ9N9vtRYrt/yrVtKOnbsyOuvvx4/hO+///0vI0eOTLRfgQIF6Nu3L3379uX27ds0atSICRMm2CUpVbZsWcxmM6VLl06U4LSX06dPJ+gV+McffxAXFxc/i0/JkiWJi4vj9OnTCe7rlStXuHnzJiVLlnRInCIiIo5y7949wLqe5926dSM4OJjvvvuOgIAAIiMjk5wIpEiRIgwYMIABAwbw999/U6NGDaZMmWKXpJQtnnnTIi4ujrNnzyZ4dvnvf/8LkOB5Yvv27Ym+ELWUnNDzhIj9qKaUiI3s2LGDSZMmUbp0af7v//4vzcd37dqV2NjY+OFaj4qJiUlx2t9H2zhw4ABbt25NtO3mzZvExMSkKaZChQrRqFEjPvvsM8LCwhJsS+lbKMs3V4/u8+DBAxYsWGDVeS11Aw4dOpSmeB/1+++/89xzz1GqVCk2btyY7ENPixYtEvw83nPKlg4fPozJZEpQFyE5+fLlo3Xr1nzzzTd8/fXX5MyZk44dOybY59q1awle586dm3LlyhEVFWXLsOMFBQXh5uZGcHBwovffbDYniscW5s+fn+D1Rx99BBD/kNyuXTsAZs+enWC/mTNnAvDcc8/ZPCYRERFHCA8PT/J565NPPgGMGfZSU7lyZapWrcrKlStZuXIlRYoUSfCFYWxsbKLklr+/P0WLFrXb84QtnnnTat68efHLZrOZefPm4eHhQfPmzQHjeSI2NjbBfgCzZs3CZDLZJTknIgb1lBJJh82bN3Py5EliYmK4cuUKO3bsICQkhJIlS7J+/Xq8vLzS3Gbjxo15/fXXmTZtGkeOHKFVq1Z4eHhw+vRpvv32W+bMmUOXLl1SbGPYsGGsX7+e559/nj59+lCzZk3u3LnDsWPHWLVqFefOnbNq6Nij5s6dS4MGDahRowavvfYapUuX5ty5c/z73//myJEjSR5Tr1498ufPT+/evfnnP/+JyWRi2bJlVnenLlOmDFWqVGH79u3069cvTfGCUVi9devW3Lhxg2HDhiUqdl22bFmrEkPWmDx5MmDU0AKjt9y+ffsAGDNmTIJ9Q0JCqF+/PgULFrSq7W7dutGzZ08WLFhA69atExVof+KJJ2jSpAk1a9akQIECHDp0iFWrViUo5mlLZcuWZfLkyYwcOZJz587RsWNHfH19CQ0NZc2aNbz22mu88847Nj1naGgoHTp0oE2bNhw4cIDly5fTo0cPqlWrBhj1Mnr37s3ixYvjh43+5z//4fPPP6djx440bdrUpvGIiIg4yvLly1m0aBEdO3akTJky3Lp1i61btxISEkL79u0T1IVKSbdu3Rg3bhxeXl688sor5MjxsF/CrVu3KF68OF26dKFatWrkzp2b7du3c/DgQT788EO7XJctnnnTwsvLiy1bttC7d2/q1KnD5s2b+fe//82oUaPihwq2b9+epk2bMnr0aM6dO0e1atXYtm0b69atY8iQIZQtW9Zm8YhIQkpKiaTDuHHjAMiZMycFChSgatWqzJ49m759+2aoBtKiRYuoWbMmH3/8MaNGjcLd3Z1SpUrRs2dP6tevn+rxuXLlYvfu3UydOpVvv/2WL774gjx58lChQgWCg4PjC0CmRbVq1fjxxx8ZO3YsCxcu5P79+5QsWZKuXbsme0zBggXZuHEjb7/9NmPGjCF//vz07NmT5s2bWz20sV+/fowbN4579+6luWv3tWvXOH/+PAAjRoxItL137942S0qNHTs2wevPPvssfvnRpFRERATbtm2zurcYQIcOHfD29ubWrVsJZsmx+Oc//8n69evZtm0bUVFRlCxZksmTJzNs2LB0XIl1RowYQYUKFZg1axbBwcGAUWi0VatWdOjQwebnW7lyJePGjWPEiBG4u7szaNAg3n///QT7fPLJJ5QpU4alS5eyZs0aChcuzMiRIxk/frzN4xEREXGUBg0asH//fr766iuuXLmCu7s7FStWZObMmfGz0VqjW7dujBkzhrt37yZ6nsiVKxcDBgxg27Zt8bPslitXjgULFiSaHMaWMvrMmxZubm5s2bKF/v37M2zYMHx9fRk/fnz88zwYxdDXr1/PuHHjWLlyJUuWLKFUqVK8//778TP6ioh9mMyqBCciLigiIoIyZcowY8aM+BljMrPZs2czY8YMzpw545D6CZndhAkTCA4O5urVq2nu3SciIiIC0KdPH1atWsXt27edHYqIJEM1pUTEJeXNm5d3332X999/P9XZ+lxddHQ0M2fOZMyYMUpIiYiIiIiI/I+G74mIyxo+fDjDhw93dhgZ5uHhkahQvIiIiIiISHannlIiIiIiIiIiIuJwqiklIiIiIiIiIiIOp55SIiIiIiIiIiLicEpKiYiIiLiwadOmUbt2bXx9ffH396djx46cOnUqwT5NmjTBZDIl+HnjjTdSbNdsNjNu3DiKFCmCt7c3LVq04PTp0/a8FBEREZEEst3wvbi4OP766y98fX0xmUzODkdERERciNls5tatWxQtWpQcOVzju7s2bdrQvXt3ateuTUxMDKNGjeL48eOcOHECHx8fwEhKVahQgYkTJ8YflytXLvLkyZNsu9OnT2fatGl8/vnnlC5dmrFjx3Ls2DFOnDiBl5dXqnHpmUpERESSY+0zVbZLSl24cIESJUo4OwwRERFxYefPn6d48eLODiNJV69exd/fn927d9OoUSPASEpVr16d2bNnW9WG2WymaNGivP3227zzzjsAREREEBAQwNKlS+nevXuqbeiZSkRERFKT2jOVuwNjcQm+vr6AcWNS+vYwK4iOjmbbtm20atUKDw8PZ4eT5ej+2pfur33p/tqX7q992fP+RkZGUqJEifjnBVcUEREBQIECBRKs//LLL1m+fDmFCxemffv2jB07lly5ciXZRmhoKJcvX6ZFixbx6/LmzUudOnU4cOCAVUkpPVOJrej+2pfur33p/tqP7q192fv+WvtMle2SUpbu5Xny5MkWD1CWrvv6j9j2dH/tS/fXvnR/7Uv3174ccX9ddThaXFwcQ4YMoX79+lSpUiV+fY8ePShZsiRFixbl6NGjDB8+nFOnTrF69eok27l8+TIAAQEBCdYHBATEb3tcVFQUUVFR8a9v3boFgLe3N97e3hm6Llfn7u5Orly58Pb21n/TdqD7a1+6v/al+2s/urf2Ze/7Gx0dDaT+TJXtklIiIiIimdXAgQM5fvw4+/btS7D+tddei1+uWrUqRYoUoXnz5pw5c4ayZcva5NzTpk0jODg40fpt27Yl2yMrqwkJCXF2CFma7q996f7al+6v/eje2pe97u/du3et2k9JKREREZFMYNCgQWzcuJE9e/akWu+qTp06APzxxx9JJqUKFy4MwJUrVyhSpEj8+itXrlC9evUk2xw5ciRDhw6Nf23plt+qVats0fs8JCSEli1b6tt6O9D9tS/dX/vS/bUf3Vv7svf9jYyMtGo/JaVEREREXJjZbGbw4MGsWbOGXbt2Ubp06VSPOXLkCECChNOjSpcuTeHChfn+++/jk1CRkZH89NNP9O/fP8ljPD098fT0TLTew8Mj2/yxkJ2u1Rl0f+1L99e+dH/tR/fWvux1f61t0zXmOhYRERGRJA0cOJDly5ezYsUKfH19uXz5MpcvX+bevXsAnDlzhkmTJnH48GHOnTvH+vXr6dWrF40aNeKpp56Kb6dSpUqsWbMGMOo7DBkyhMmTJ7N+/XqOHTtGr169KFq0KB07dnTGZYqIiEg2pJ5SIiIiIi5s4cKFADRp0iTB+iVLltCnTx9y5szJ9u3bmT17Nnfu3KFEiRJ07tyZMWPGJNj/1KlT8TP3Abz77rvcuXOH1157jZs3b9KgQQO2bNmCl5eX3a9JREREBJSUEhEREXFpZrM5xe0lSpRg9+7daW7HZDIxceJEJk6cmKH4RERERNJLw/dERERERERERMThlJQSERERERERERGHU1JKREREREREREQcTjWlRESymdhY2L3bxJ49xfDxMdG0Kbi5OTuqjImNhb174dIlKFIEGjZM+zXZog1bsVUsWfWastrnV0RERMQhwsIgPNxYjokh75kz8Msv4P6/1JCfHwQGOjQkJaVERLKR1avhzTfhwgV3oBYzZ0Lx4jBnDgQFOTu69Hl4TQ/XpfWabNGGrdgqlqx9TVnn8ysiIiLiEGFhULEi3L8PgAfQ5PF9vLzg1CmHJqY0fE9EJJtYvRq6dEmYGAC4eNFYv3q1c+LKCFtckyvdF1vFomsSERERkQTCw+MTUsm6f/9hTyoHUVJKRCQbiI01epgkNbO8Zd2QIcZ+mYUtrsmV7outYtE1iYiIiEhmoeF7IiLZwN69iXuYPMpshvPnjf2aNHFYWBli7TUVKAA5cya9z4MHEBmZehuOuC+2uB7QNWWWz6+IiIiIKCklIpItXLpk2/1cgbWxppTMsPW5HHEOW1xPWs7niHNkpmsSEREREdtRUkpEJBsoUsS2+7kCa2NdsgSeeSbpbf/5D/Tta7tzZYQtrgd0TSIiIiKSeSgpJSKSDTRsaMxSltxQKpPJ2N6woWPjyoiGDaFYMaPQdVIs1/Tyy+DmlvQ+FSvC2LFGG0nVK3LkfbG8R6nFktL1gGteU2qfu8x0TSIiIiKZ0qZNzo4gSSp0LiKSDbi5wYgRKe8ze3bKiQFX4+YGzz2X9DaTyfid2jW5ucGcOQmPeZyj7oslluSSLtbG4mrXNHVq0ttsdU1paUdEREQk24mJgbffNr7hc0FKSomIZBP79xu/vbwSbxs1CoKCHBtPRt27Bxs2GMv58iXcVrw4rFpl3TUFBRn7FiuWeFvbto69L8kNP0vL9UDK1zR6tGOv6fRp47f7Y32zbXVNaW1HREREJNu4ds14oJ0503id2jd4Xl7g52f/uB6h4XsiItnAsWPw1VfG8t69cPNmDJs3H+H8+af59ls3Nm2CiRMhRyb6qmL+fKOwdalScOIE/PST8bpIEWMYV1p6zQQFwQsvGPfm0iXj5+23Yft2+PNPKFnSbpcRz2w2koNg1E/q1Sv91wOJr2ntWvjmG/j3vyE42DHv9d9/P3wGWrECChWyzTXt3Gl8ftu2rU7Tpu7qISUiIiLyuGPHjAen0FDw8YGlS40inuHhAETHxPDDvn3Ub9AAD8u3h35+EBjo0DCVlBIRyQbGjjWSHl27Qq1aEB1t5s6di9SpU40tW9z45Rf47jt48UVnR2qdyEiYNs1YnjABvL2hSZOMtenmlrCNTZvg+++NZN2nn2asbWt8/z3s2gU5cxrXZIvngUevqWVL45p++QVWr4YuXTLefmreew/u3IGaNY3zJTecMC3c3KBxY+Pz27hxNSWkRERERB733XfQu7fxIFa6NKxbB1WrGtssD5nR0URcugRPPw0eHk4LNRN9Jy4iIunx00/Gv0M5chgJlkcVLAjvvGMsjx1rDDnPDGbOhOvXoXJl6NnTPueYMsX4vXQpnDpln3NYPNpLqn9/+3xB5edn9P4Cx7zX58/DggXG8tSptklIiYiIiEgK4uJgzBjj28A7d6B5czh48GFCygUpKSUiksWNHm387t3bmMXscUOGGMmpU6dg2TKHhpYu4eHw4YfG8qRJ9ituXaeO0eM5Lg7GjbPPOSzWrTOeF3x8YORI+51n6FAoUABOnoTly+13HjDem6goaNzY6KUlIiIiInYUEWE8vFq+WR06FLZsMR70XZiSUiIiWdj33xs/Hh4wfnzS++TJ8zARMmGCkUhwZe+9B7dvG0PC7F3cetIko4fPN98Yw97sITbW+EILjARhQIB9zgOOe69Pn4bPPjOWp0xRLykRERGRDAsLg59/Tvpn9WqoUQM2bgRPT/jiC+Nb3MdnmnFBSkqJiGRRZvPDXlJvvJFyse4BA6BoUePfusWLHRNfely4APPmGcuOSHZUrQo9ehjLlsSRrX31Ffz2mzGDoGUopT0NHGi813/+Cf/6l33OMX68kWx77jmoX98+5xARERHJNsLCjCEPNWsm/dO5M5w9C4ULw7598PLLzo7YakpKiYhkURs2GPWkcuV6WK8oOd7eD4eoTZ5sDEF3RZMnG717GjWCVq0cc84JE4wvmTZtMv6Nt6UHDx72YBs+3EhM2Zu3t1FTCuzzXv/668OZHidPtm3bIiIiItlSeDjcv5/6fl98YcxqlIkoKSUikgXFxT3sJfXmm8aXJqnp1w/KlIG//4a5c+0bX3r88cfDWfAcOSSsXDl45RVjedQoowearXz2mfGlVkAADB5su3ZTY3mvr1yBjz6ybduWhFe3blC9um3bFhEREZEUuHj9qKQoKSUikgV9/TUcPw5588KwYdYd4+HxcHa+GTPgxg37xZceEyYYM8a1awcNGjj23GPHGsPz9+6Fbdts0+a9ew/v95gxRpFzR8mZE4KDjeXp0+HmTdu0e+CA0UPPzS3xTI8iIiIiIo9TUkpEJIuJjn44FO/ddyF/fuuP7d4dqlQxkhQffGCX8NLl2DFYscJYdsaQsGLFYNAgY9lWvaXmz4dLl4xaX//4R8bbS6uXXoInn7Tde202Pxwm2qcPVKiQ8TZFREREJGtTUkpEJItZsgTOnAF/f/jnP9N2rJvbw6TP7NnG8C5XMHaskfTo2hWefto5MYwYAblzP5zgJCMiI2HaNGN5wgSjF5ajPf5e//13xtr7/nvYtcvohWVJioqIiIhIBl24kKW7oCspJSKShTw6JGz0aCOJklYdOsAzz8DduzB1qm3jS4+ffoJ16yBHjodDzpzBzw+GDjWWx4wxZpdLr5kz4fp1qFQJeva0TXzp8cILULu2UezckiRLj0d7Sb3xBgQG2iY+ERERkWzrxg3jW9Hy5Y2H4SxKSSkRkSxk4UK4eBFKlIDXX09fGybTw2TUokXGDLTOZCnY3ru3kcRxpqFDoUABOHkSli9PXxvh4fDhh8bypEnGzH7OYjIZReMBFixI/3u9bh0cPGjdTI8iIiIikoL7943aCmXLGsU/79/P0rPHKCklIpJFREY+TCZldEhY8+bQrBk8eODc3sI7dhjDwjw8YPx458VhkTev8YUVGPFERaW9jffeg9u3oUYNCAqybXzp0aIFNGlivNeTJqX9+NhYo+cYwJAhxkyCIiIiIpJGsbGwdKlRmHPYMKOn1JNPGrPIrF0LXl4pH+/lZXTtz2Sc+P2siIjY0uzZcO2a8e9Yr14Zb2/KFKhb1/i3cdgwqFgx422mhdn8sJfUG28YBcFdwcCBMGsW/PknfPKJ8dpaFy7AvHnG8pQpxpBEZ7P0lqpf36hHNmxY2oqUf/UV/PYb5MsH77xjtzBFREREMqewMKOrfHIKFoSjR2HkSOOhCoxhDxMnwssvG4VAAU6dSrkdP79MWUNBSSkRkSzg2rWHM6jZakjYs88a9aXWrzd6BX39dcbbTIuNG+HHH11vSFiuXEbh9QEDjHvdpw/4+Fh37OTJRu+qhg2hdWu7hpkm9erB888b93z8eCPRZI0HDx72YEvrTI8iIiIiWV5YmPHN7v37ye9jMj2c2jl/fuNb2YEDE/eMCgzMlEmn1LjAd7QiIpJR06fDrVvGcPMuXWzX7qRJxr+TK1fCkSO2azc1cXEPe0m9+SYULuy4c1vjlVegdGljdkJLz6fU/PEHfPqpsTxlinFfXYllJr6vv4Zff7XumM8+g7Nn0zfTo4iIiEiWFx6eckIKjIRUzpxGjYizZ+Htt1MfqpeFKCklIpLJ/fUXfPSRsWzrIWFPPQUvvWQsW+oGOcLKlXDsmFHDadgwx53XWjlzPpwJcPp0uHkz9WMmTICYGGjb1ugp5WqqVYPu3Y1la97rR2d6HDPG+t5iIiIiIvKYdeuMqZDz5XN2JA6npJSISCY3ebLxBUz9+kbCw9aCg42h7P/+N/zwg+3bf1x0NIwbZyy78pCwHj3giSeMGpSW2fSSc+wYrFhhLFt6JLkiy3u9cSPs35/yvvPnw6VLRi/y115zTHwiIiIiWZK/v7MjcBolpUREMrGzZ+Ff/zKWp061z5CwcuWM4Wpg1HayDHm3l6VLjaFurj4kzM3tYYJp1iz4++/k9x071rhvL75ozLrnqipUgL59jeWU3uvISOPLPMj4TI8iIiIikn0pKSUikolZhoS1bg2NGtnvPGPHGomHPXsgJMR+57l//+GwuNGjIXdu+53LFjp2hFq14M6dh0max/30k9EjO0eOh8PdXNm4ccbwxN27Yfv2pPeZOROuXzfqdr78smPjExEREZGsQ0kpEZFM6rffYPlyY3nKFPueq3hxYxIQsG9vqYUL4eJFYxbc11+3zzlsyWQyeqiBEfv584n3sdRn6t0bKlVyXGzpVaKEMbMgJP1eh4cbSSmw3UyPIiIiIlmO2WzMCiMpUlJKRCSTsgwJ69wZata0//lGjDB6Lh0+DGvW2L79W7ceJngy05CwFi2gSROIijKSNI/audPE9u3g4QHjxzslvHQZOdIoXH7oEKxdm3CbZabHp582PnsiIiIi8pjYWKMOxfz5zo7E5SkpJSKSCR08aCSGHDkkrFAhGDrUWB4zxvi31pZmzzZ64VSoAL162bZtezKZHvZU++wzOH3aWDabYdw445/ZN96AkiWdFGA6+PvDW28Zy4++1xcvwrx5xrKtZ3oUERERyRLu3zemNLY8NKXWrdzLC/z87B+Xi3Lq4+StW7cYMmQIJUuWxNvbm3r16nHw4MEUj4mKimL06NGULFkST09PSpUqxWfqEieSpcTGwu7dJvbsKcbu3SabJz/SGsuuXfDVV8bv9MZii3YebaN/f2Pdyy8bM8A5ytChUKAA/P67kayw1X1ZvBjee89YlxmHhNWrB88/b1zP2LHG53fp0if46acceHsbw+Aym7ffNmY+PHHCqDNl+dzdvw8NGkCbNs6OUERERMTF3LxpPCStWmUU6fz6azhzxhhqkNzPqVPGdMbZlFMf+1999VWOHz/OsmXLKFq0KMuXL6dFixacOHGCYsWKJXlM165duXLlCp9++inlypXj0qVLxMXFOThyEbGX1avhzTfhwgV3oBYzZxr1jObMgaAgZ8XycF16YrFFO0m1AVCnjvVx2ELevPDcc7Bs2cMkEtjuvnh4ZN7eN5Mnw8aNsHIlrFzpDpQHjATb/v2O//xmVL58xnu9fPnDYZUWrVvbZ6ZHERERkUzr4kVo2xaOHQNfX6MGQrNmxrZsnHRKjdMe/e/du8d3333HjBkzaNSoEeXKlWPChAmUK1eOhQsXJnnMli1b2L17N5s2baJFixaUKlWKunXrUr9+fQdHLyL2sHo1dOmSOPFy8aKxfvXqzBeLLdpJrg0wio87+r5Yiqs/ylb3JToaunZ17DXZypkzSa+/fdvxn19bWL0avvwy6W3jxmW+6xERERGxm99/h7p1jYRUkSKwd+/DhJSkyGk9pWJiYoiNjcXLyyvBem9vb/bt25fkMevXr6dWrVrMmDGDZcuW4ePjQ4cOHZg0aRLe3t6OCFtE7CQ21ug1k9Ssbmaz0StjyBB44QVwc3NuLACvvQYPHqTcqycuzkgaZaSdlNqwyEr3xcJR12QrlnuTFEd/fm0hpffaIjNdj4iIiIjd7N9v1HG4cQMqVoQtW6BUKWdHlWk4LSnl6+tL3bp1mTRpEpUrVyYgIICvvvqKAwcOUK5cuSSPOXv2LPv27cPLy4s1a9YQHh7OgAEDuHbtGkuWLEnymKioKKKiouJfR0ZGAhAdHU10dLTtL8yFWK4vq1+ns+j+2tbu3ab/DdlLmtkM58/Dzp0xNG6cwl/KDogF4No1eOmljJ8ro+2k976k5/PrqPviyPfaVlzp82sLrn499vz/r/6fLiIiIlZbvx66dTOKbtapY9RyyMZFy9PDqTWlli1bRr9+/ShWrBhubm7UqFGDl156icOHDye5f1xcHCaTiS+//JK8efMCMHPmTLp06cKCBQuS7C01bdo0goODE63ftm0buXLlsu0FuaiQkBBnh5Cl6f7axp49xYBaqe63efMR7ty56BKxFC8eSb58Ucluv3nTkwsX8mSoHWvbSO99Scvn19H3xRHvta240ufXFjLL9djj/7937961eZsiIiKSBf3rX8YUy3FxRk+pr78GHx9nR5XpODUpVbZsWXbv3s2dO3eIjIykSJEidOvWjTJlyiS5f5EiRShWrFh8QgqgcuXKmM1mLly4QPny5RMdM3LkSIZa5jDH6ClVokQJWrVqRZ48qf9RlJlFR0cTEhJCy5Yt8fDwcHY4WY7ur235+JiYOTP1/dq2rU7jxtVcIpYlS3LRuHHyQ4d37zbRsmXG2rG2jbTel/R8fh19XxzxXtuKK31+bcHVr8ee//+19KgWERERISwMwsMTrjObjamjFy82Xr/yCixalPmmj3YRLnHXfHx88PHx4caNG2zdupUZM2YkuV/9+vX59ttvuX37Nrlz5wbgv//9Lzly5KB48eJJHuPp6Ymnp2ei9R4eHtkmkZCdrtUZdH9to2lTYwa3pIp5g1GTp3hxaNrU3e41bGwVi6WdixeTrs1jTTu2aCMlafn82ioWe1+TM2S1a8os12OP///q/+ciIiICGAmpihWNoXnJcXODsWOVkMoAp068vXXrVrZs2UJoaCghISE0bdqUSpUq0bdvX8Do5dSrV6/4/Xv06EHBggXp27cvJ06cYM+ePQwbNox+/fqp0LlIJufmBv/8Z8r7zJ7tmKLKbm4wYULS20wm62Nxc4M5cxIel9Z2bNGGrdgqFle6JlvJateU1a5HREREJM3Cw1NOSIExO8y1a46JJ4tyalIqIiKCgQMHUqlSJXr16kWDBg3YunVr/LeUly5dIiwsLH7/3LlzExISws2bN6lVqxb/93//R/v27Zk7d66zLkFEbGjHDuN3UuXe6tWDoCDHxXLkiPE7Z86E64sXh1WrrI8lKMjYv1ix9LdjizZsxVaxuNI12UpWu6asdj0iIiIi4nqc2sesa9eudO3aNdntS5cuTbSuUqVKKiwtkgXt2WPMnurubiSE/vwzhs2bj1ChQnXeeMOdH36AX3+Fag4oX3PuHHz8sbH8738bMV26BEWKQMOGae8dEhQEL7wAe/emvx1btGErtorFla7JVizXtHOn8flt27a604e4ZURWfI9ERERExHVo4KOIOJ3ZDKNHG8uvvgrly0OpUmbu3LlIu3bV2LXLmMxizBjYsMH+8QQHQ3Q0tGhh/NiCmxs0aeL8NmzFVrG40jXZipsbNG5sfH4bN66W6RM4WfE9EhEREUlVdLSzI8gWnDp8T0QEjB5S+/aBl5eReHpccLDxh/HGjbB/v31j+f13+OILY3nKFPueS0REREREXNCpU9C7t7OjyBaUlBIRp4qLe9hLatCgxPVrACpUgD59jOVRo5KeDcxWxo0zYurYEZ55xn7nERERERERF2M2wyefQI0aRmJK7E5JKRFxqu++g19+AV9fGD48+f3GjTOKju/eDdu32yeWw4eNAs4mE0yaZJ9ziIiIiIiIC7p+Hbp0gX/8A+7ehdq1nR1RtqCklIg4TUwMjB1rLL/9Nvj5Jb9vYCD0728s26u3lGXo4P/9H1SpYvv2RURERETEBe3aBU89BatXg4cHzJgB33xj1BdJiZdXyn/ESKpU6FxEnGbZMqNXbMGC8NZbqe8/cqTRm/bQIVi7Fjp1sl0sj87+N2GC7doVEREREREXFR1tPPxPm2Z8612hAqxYATVrGttPnYLw8OSP9/Mzvj2XdFNSSkScIirqYfJn5EjIkyf1YwICYMgQowD5mDHQoYNtpqZ/fPa/smUz3qaIiIiIiLiwP/4whkj85z/G61degdmzIXfuh/sEBirpZGdKSomIUyxeDGFhULQoDBhg/XHvvAPz58OJE8aXGC+/nPFYUpv9T0REREREMpGwsOR7OJnNRqHa8ePh9m3Ilw/+9S+jnpQ4nJJSIuJwd+7A5MnG8rhx4O1t/bH58hkF0UeONP4d6dbNKICeXtbM/iciIiIiIplEWBhUrAj376e+b6NGsHw5lChh/7gkSSp0LiION3cu/P03lCkD/fql/fjBg42hfKGh8OmnGYtl9WrrZv8TEREREZFMIDzcuoTUgAGwY4cSUk6mpJSIONSNG8ZkFgATJxqTW6SVj8/DYXaTJhkztqbHo7P/DR2qiTNERERERLKNV16xTYFayRAlpUTEoT74AG7ehCpVoHv39Lfzj39AyZJw6ZJRYyo9li+HkyehQAEjKSUiIiIiIiKOo6SUiDjMlSvGhBZg9HDKyBcTnp4PZ+977z2IiEjb8emZ/U9ERERERERsR0kpEXGYqVONoXa1a8MLL2S8vZ49oVIluH4dZs5M27H/+hf8+acx+9/AgRmPRUREREREXMB//uPsCCQNlJQSEYf4809YtMhYnjoVTKaMt+nubvS4AiMpdfWqdcc9Ovvf2LFpm/1PRERERERc0NWr0KsX9O/v7EgkDZSUEhGHmDgRHjyApk2heXPbtRsUBDVqwO3bxjA+a3z0kTGUML2z/4mIiIiIiIswm2HpUqhcGZYtc3Y0kkZKSomI3Z06Zfw7ATBlim16SVnkyGG0CUbB8wsXUt7/5k2YPt1YDg6GnDltF4uIiIiIiDjQqVPQrBn07QvXrsFTT8HateDllfJxXl6aettFuDs7ABHJ+saNg7g4aN8e6ta1ffutW0PDhrB3rzGc7+OPk9/XMvvfk0/CSy/ZPhYREREREbGzqCjjm+YpU4zhGN7exixGb70FHh5Gsio8PPnj/fwgMNBh4UrylJQSEbv65Rf45htj2VLHydZMJuPfo0aN4NNPYdgwKFcu8X6Pzv43eXLGZv8TEREREREbCwt7mEyKiSHvmTPGHxTu/0td+PkZxWpfew1OnjTWtWkDCxZA6dIP2wkMVNIpk1BSSkTsaswY4/dLLxm9ae2lYUNo2xY2b4bx4+HLLxPvM22aUeTcVrP/iYiIiIiIjYSFQcWKcP8+AB5Ak8f3cXOD2FhjOSDA+Ma5Wzfb1gcRh1JNKRGxmx9+gE2bjH87goPtfz5LT6yvvoJjxxJuCwuDhQuNZVvN/ici4gjTpk2jdu3a+Pr64u/vT8eOHTl16lSS+5rNZtq2bYvJZGLt2rUpttunTx9MJlOCnzZt2tjhCkRERKwQHh6fkEqWJSH12mvw++/Qvbse7DM5JaVExC7MZhg1ylju1w/Kl7f/OWvUgBdfNM49dmzCbfaa/U9ExN52797NwIED+fHHHwkJCSE6OppWrVpx586dRPvOnj0bUxoeztu0acOlS5fif7766itbhi4iImJ7n3xiFJHNn9/ZkYgNaPieSCYXG2sU+L50CYoUMYaxOatW0qOxXLgAe/aAp2fiBJE9TZwI330H69bB/v1GIurnn2HJEmO7rWf/ExGxty1btiR4vXTpUvz9/Tl8+DCNGjWKX3/kyBE+/PBDDh06RJEiRaxq29PTk8KFC9s0XhEREbt6+mlnRyA2pKSUSCa2ejW8+aaRALIoXhzmzIGgIOfHAtCyJZQo4bg4KlWC3r2NJFSzZsbEHBZeXkbCTEQkM4uIiACgQIEC8evu3r1Ljx49mD9/fpqSTLt27cLf35/8+fPTrFkzJk+eTMGCBW0es4iIiEhSlJQSyaRWr4YuXYyhao+6eNFYv2qV4xJTycUC8O9/G9sdmSSrU8dISj2akALjtaPvjYiILcXFxTFkyBDq169PlSpV4te/9dZb1KtXjxfSMItDmzZtCAoKonTp0pw5c4ZRo0bRtm1bDhw4gFsSXW6joqKIeuR/rJGRkQBER0cTHR2dgatyfZbry+rX6Sy6v/al+2tfur82FBODhxW7RcfEgO53htn7s2ttu0pKiWRCsbFGr6SkkkBmszE8bcgQY4Y5ew/lSykWC0fFYonHUvD8cY6+NyIitjZw4ECOHz/Ovn374tetX7+eHTt28Msvv6Spre7du8cvV61alaeeeoqyZcuya9cumidRfG/atGkEJzFrxbZt28iVK1eazp1ZhYSEODuELE331750f+1L9zfjiu/YQU0r9vth3z4iNPzBZuz12b17965V+ykpJZIJ7d2beJjco8xmOH/e2K9Jk+wTiyvGIyJiK4MGDWLjxo3s2bOH4sWLx6/fsWMHZ86cIV++fAn279y5Mw0bNmTXrl1WtV+mTBn8/Pz4448/kkxKjRw5kqFDh8a/joyMpESJErRq1Yo8efKk65oyi+joaEJCQmjZsiUeHtZ8jy9poftrX7q/9qX7axumL77AzTJVdirqN2igulI2YO/PrqVHdWqUlBLJhKz9YsARXyC4UixpOY++XBGRzMJsNjN48GDWrFnDrl27KF26dILtI0aM4NVXX02wrmrVqsyaNYv27dtbfZ4LFy5w7dq1ZIuke3p64unpmWi9h4dHtvlDLDtdqzPo/tqX7q996f6mU3Q0vPMOzJ1rvM6RA+Likt/fywuPwoVB99pm7PXZtbZNJaVEMiErJ1Wyer+McKVY0nIeR8UjIpJRAwcOZMWKFaxbtw5fX18uX74MQN68efH29qZw4cJJFjcPDAxMkMCqVKkS06ZNo1OnTty+fZvg4GA6d+5M4cKFOXPmDO+++y7lypWjdevWDrs2ERHJxsLDoWtX2LnTeD1+PPTpA9evA0btqB/27aN+gwZ4uP8vdeHnB4GBzolX7EJJKZFMqGFDY5a9ixeTruVkMhnbGzbMXrG4YjwiIhm18H/DGZo8NuZ4yZIl9OnTx+p2Tp06FT9zn5ubG0ePHuXzzz/n5s2bFC1alFatWjFp0qQke0OJiIjY1K+/QseOcO4c5M4NX3wBnToZ20qVMn5HRxu1o55+Wj2jsjAlpUQyITc3mDMHOndOfp/Zsx1TyDulWEwmx8byaDxduhjnfzQx5Yx4REQyypzSTBJpOObRdd7e3mzdujVDcYmIiKTLN99A375w9y6ULQvr1sGTTzo7KnGSHM4OQETSp2pVY8h1Uho2hKAgx8XSvDn4+CReX7w4rFrl2FjAON+qVVCsmGvEIyIiIiKS7cXGwqhR0K2bkZBq1QoOHlRCKptTTymRTGr8eKMGYLt2MGyYUbg7MhLeeMOYWe74cahSxTGxfPgh3LkDlSrBvHnw999GzaaGDZ3XIykoCF54wbgXly45Px4RERERkSwtLMyoE5WUW7cgOPhh/ahhw2DaND2ci5JSIpnRr7/CV18Zy1OmQPXqD7dt3270Bho7FtassX8sf/8NM2cay5MnG72mXIWbGzxWgkVERERERGwtLAwqVoT791Pez9MTPvsMevRwTFzi8jR8TyQTGjvW+N2tW8KEFMDEicawvrVr4T//sX8s771n9JKqWVPD4kREREREsqXw8NQTUgCffqqElCSgpJRIJnPgAGzYYPQCmjgx8fbKlaFXL2N59Gj7xnL+PCxYYCxPmfKwkLiIiIiIiEgilSs7OwJxMUpKiWQiZrNRGxCgTx+oUCHp/caPN2ZN3b4dduywXzyTJkFUFDRqZNQpFBEREREREbGWklIimcj338OuXZAzJ4wbl/x+pUrB668by6NHG8ksWzt92hgODuolJSIiIiIiImmnpJRIJmE2PxyO178/BAamvP/o0eDtDT/+CBs32j6e8eONWV3btYMGDWzfvoiIiIiIZBLnzjk7AsmklJQSySTWrzcKl/v4wMiRqe9fuDC8+aaxPGYMxMXZLpajR+Hrr43lyZNt166IiIiIiGQiUVFGodtu3ZwdiWRSSkqJZAKxsUZiCWDIEAgIsO64YcMgb14jifTNN7aLZ+xYo+dW167w9NO2a1dERERERDKJPXuMqcDHj4eYGGdHI5mUklIimcDXX8Px45AvH7zzjvXHFShgJKbASCRFR2c8lh9/NHpt5ciR9Ox/IiIiIiKShV2/Dq++Co0bw8mTxjfm8+aBl1fKx3l5gZ+fY2KUTMPd2QGISMqiox8WNR8+3EhMpcWbb8KcOfDHH/D558a/HxlhqWvVpw9UrJixtkREREREJJMwm2HFCnjrLbh61Vj32mvw3nuQPz+0bw/h4ckf7+eXemFcyXaUlBJxcZ99BmfPGl9ADB6c9uNz5zYSSUOGQHAw9OyZ+pcYyfn+e9ixI/XZ/0REREREJJMIC0s9mRQdDQMGwLZtxronnoCPP04441FgoJJOkmZKSom4sHv3Hg6RGzPGKHKeHq+/Dh9+COfPw6JFRoIqrcxmGDXKWH7jDShZMn2xiIiIiIiIiwgLM4Y/3L+f/D7u7uDmZhQ19/Q06oIMG2Z8Uy2SQaopJeLCFiyAv/4yEkD/+Ef62/HyMuoPAkydCrdupb0Ny+x/uXI9TE6JiIiIiEgmFh6eckIKjCLmUVHQrBkcO2YMw1BCSmxESSkRFxUZCdOmGcsTJhhfSmRE795Qvrwx/HvOnLQdm97Z/0REREREJAsIDobt240/KERsSEkpERc1axZcuwaVKhl1oDLK3R0mTTKW33/fmDTDWpbZ//LmTdvsfyIiIiIikgU8/zyYTM6OQrIgJaVEXFB4uFEDCoyaUu42qv724otQrZrRC2vGDOuOeXT2v3ffNSbWEBEREREREckoJaVEXND06Ubdp6efhs6dbddujhwwebKxPHcuXLqU+jGW2f/8/eGf/7RdLCIiIiIiIpK9KSkl4mIuXoR584zlKVOMRJItPfcc1K1rzOw3ZUrK+z46+9/o0ZA7t21jERERERERJ4mLgy+/dHYUks0pKSXiYiZPNibAaNAA2rSxffsmkzEDH8DixRAamvy+ltn/SpSA11+3fSwiIiIiIuIEly9Du3Ywc6azI5FsTkkpERdy9ix88omxPHWq/WoJNmkCLVsa9aKCg5Pex9az/4mIiIiIiAvYtAmeegq2bjUe8lMrYOvlBX5+jolNsh0blU8WEVuYMAFiYoweUg0b2vdcU6ZASAgsW2YUMH/iiYTbLbP/VagAvXrZNxYREREREbGz+/eNB/+PPjJeP/UUrFgBvr7GTEvJ8fODwEDHxCjZjpJSIi7it99g+XJj2VKM3J5q14ZOnWDNGmN2vVWrHm67du3h7H+TJtlu9j8REREREXGC48ehRw84dsx4/eab8N57Ri8oUNJJnEbD90RcxNixYDZDly5Qs6ZjzjlpkjFE8Lvv4PDhh+sts/9Vr27EIyIiIiIimZDZbBSKrV3bSEj5+xvD92bPfpiQEnEipyelbt26xZAhQyhZsiTe3t7Uq1ePgwcPWnXsDz/8gLu7O9WrV7dvkOISYmNh1y746ivjd2ysc2PZvdvEnj3F2L3blO5YLNc0ebLRY8lkejjbnSM8+ST07Gksjx5txLJggfFvFNhn9j8REREREbGRsDD4+eekf77/3igkO3CgMXSvTRs4ehTatnV21CLxnD4o59VXX+X48eMsW7aMokWLsnz5clq0aMGJEycoVqxYssfdvHmTXr160bx5c65cueLAiMUZVq82epheuPBwXfHiMGcOBAU5KxZ3oBYzZ6YvlqSuydsbfv8dKle2edjJmjDBmAl261bjxyJnTrh3z3FxiIiIiIhIGoSFQcWKRsIpJR4e8P77MHiwvnEWl+PUT+S9e/f47rvvmDFjBo0aNaJcuXJMmDCBcuXKsXDhwhSPfeONN+jRowd169Z1ULTiLKtXG0PIHk3eAFy8aKxfvTrzxZJcO/fuOf6ajhyBuLjE6x88gBdfdGwsIiIiIiJipfDw1BNSAF98YXwbroSUuCCnfipjYmKIjY3F67GxrN7e3uzbty/Z45YsWcLZs2cZP368vUMUJ4uNNf7/aTYn3mZZN2SIY4byWRPLwIFGkufYseR/jhyBAQNc65pS4qhYRERERETEDipUcHYEIsly6vA9X19f6taty6RJk6hcuTIBAQF89dVXHDhwgHLlyiV5zOnTpxkxYgR79+7F3YopwaKiooiKiop/HRkZCUB0dDTR0dG2uRAXZbm+zHydu3eb/jdMLmlmM5w/Dzt3xtC4cRJZHgfHcvkyPP10xs7jatfkqFgelxU+v65M99e+dH/ty573V++ZiIiIiOM4vabUsmXL6NevH8WKFcPNzY0aNWrw0ksvcfjRqcD+JzY2lh49ehAcHEwFK7O906ZNIzg4ONH6bdu2kStXrgzHnxmEhIQ4O4R027OnGFAr1f02bz7CnTsXXSKWXLkekDNnEuPh/ufBgxzcvZsz1XZc6ZocEUtyMvPnNzPQ/bUv3V/7ssf9vXv3rs3bFBEREZGkOT0pVbZsWXbv3s2dO3eIjIykSJEidOvWjTJlyiTa99atWxw6dIhffvmFQYMGARAXF4fZbMbd3Z1t27bRrFmzBMeMHDmSoUOHxr+OjIykRIkStGrVijx58tj34pwsOjqakJAQWrZsiYeHh7PDSRcfHxMzZ6a+X9u21WncuJpLxLJuXQ4aNzYlu333bhMtW6bejitdkyNieVxW+Py6Mt1f+9L9tS973l9Lj2oRERGXp3+zJAtwelLKwsfHBx8fH27cuMHWrVuZMWNGon3y5MnDsWPHEqxbsGABO3bsYNWqVZQuXTrRMZ6ennh6eiZa7+HhkW3+UMjM19q0qTGz3cWLSddgMpmM7U2buuPm5phYHi9OntZYXPGaXCGW5GTmz29moPtrX7q/9mWP+6v3S0REMoUTJ+Dll50dhUiGOb38/tatW9myZQuhoaGEhITQtGlTKlWqRN++fQGjp1OvXr0AyJEjB1WqVEnw4+/vj5eXF1WqVMHHx8eZlyJ24OYGc+akvM/s2TgkYeLmBu+9l/Q2k8n6WB69JtNjHarS0o4tuFIsIiIiIiJihXXroE6d5L8tF8lEnJ6UioiIYODAgVSqVIlevXrRoEEDtm7dGv9N5aVLlwgLC3NylOJMQUEwbFjS29q0MbY7Smio8fvxGvvFi8OqVdbHEhRk7F+sWMbasQVXikVERERERJIRFwfBwdCxI9y+Dc8+C0mMCkrAywv8/BwSnkh6OH34XteuXenatWuy25cuXZri8RMmTGDChAm2DUpczp07xu+OHaFrV2OWu6FDYft2OHcOSpWyfwzXr8P77xvLX3wBhQrFsHnzEdq2rZ6u4W1BQfDCC7B3L1y6BEWKQMOGzumV5EqxiIiIiIjIY27dgl69YO1a4/XgwfDhh8bDe3h48sf5+UFgoENCFEkPpyelRKzx/ffG7169oFMnY3nTJiMpFRwMS5bYP4YZM4xagtWqQbduEBtr5s6dizRuXC3dyRs3N2jSxKZhppsrxSIiIiIiIv/zxx/GN8gnTkDOnLBoEfyv3A2BgUo6Sabm9OF7Iqm5eBFOnoQcORImTaZMMX5/8QX8/rt9Y7h0CebOfXjeHPovR0RERERE7G3rVqhd20hIFSkCu3c/TEiJZAH601pc3o4dxu8aNSB//ofrn3nGGM4XFwfjxtk3hilT4N49qFcP2rWz77lERERERCSbM5uN2iHt2sHNm0b9qMOHjd8iWYiG74nLswzda9488bZJk4zJJ1atMv4fXbOm7c8fGgqLFxvLU6YknqVOREREREQkTcLCkq8Fde+eUTtk/Xrj9SuvwPz5qRc1F8mElJQSl2Y2p5yUqlIF/u//YPlyGDMGNm+2fQzBwRAdDS1bquaSiIiIiIhkUFgYVKwI9++nvJ+bm1FDpH9/fTMuWZaG74lLO30aLlww6vnVr5/0PhMmgLs7bNkCe/bY9vwnTsCyZcaypYaViIiIiIhIuoWHp56QAli4EAYMUEJKsjQlpcSlWXpJ1asHuXIlvU/ZsvDqq8by6NFG7ypbGTfOqFnVqZNRX1BERERERMQh7FGbRMTFKCklLi2loXuPGjMGvLxg3z6jx5QtHDoE331nfDExaZJt2hQRERERERERg5JS4rLi4mDnTmM5taRUsWIwaJCxPHq0cWxGjRlj/O7ZE558MuPtiYiIiIiIiMhDSkqJyzpyBK5fB19f64bODR9u7PvLL0YPp4zYswe2bjVqVU2YkLG2REREREREALh7Fz77zNlRiLgMJaXEZVmG7jVubCSHUuPnB2+/bSyPGwcxMek7r9ls9LYC+Mc/oEyZ9LUjIiIiIiICGH+c/OtfUK4czJ/v7GhEXIaSUuKyrK0n9ai33oKCBeHkSVi+PH3n3bLFqE3l5fVwCJ+IiIiIiEiamc2wejVUqQKvvQaXLkGRIs6OSsRlKCklLunBA9i711hOS1IqTx4YMcJYnjABoqLSdt64uIe9pAYPhqJF03a8iIiIiIgIYNQEqVsXOneGU6eMoR1z5sDu3cY34Cnx8jL2F8nirBgUJeJ4P/5oDLf29ze+VEiLgQNh1iz480+jh6ylALo1vvvOqEnl62vUqBIREREREUkgLAzCw43lmBjynjlj/BFhqTkSHg5z58K//228zpXLqDPyzjvGt+hgJKksbSTFzw8CA+13DSIuQkkpcUmWoXvNmoHJlLZjvb1h7Fjo3x8mT4a+fcHHJ/XjYmKM48D496JgwbSdV0REREREsriwMKhYEe7fB8ADaJLcvm5uxpC9ceOgcOGE2wIDlXQSQcP3xEXt2GH8TsvQvUf162cUKL9yBT76yLpjli172Kv2rbfSd14REREREcnCwsPjE1IpatECTpyABQsSJ6REJJ6SUuJybt82hu9B+pNSOXNCcLCxPH063LyZ8v5RUUYNKoCRI43heyIiIiIiIukyfTpUqODsKERcnpJS4nL27jWG0pUubfyk10svwZNPGgmpDz5Ied/Fi42euMWKGcP+RERERERERMS+lJQSl/NoPamMcHMzakoBzJ5tDOVLyp07D/cbN86oSSUiIiIiIpLIjRvOjkAkS1FSSlyOJSmV3qF7j3rhBahd20g8TZuW9D5z58Lff0PZskZRdBERERERkQTMZli6FDp3dnYkIlmKklLiUsLD4cgRYzmjPaXAmLlv6lRjeeFCY4jeo27cgBkzjOXgYPDwyPg5RUREREQkC/nvf41vzPv2hYgIZ0cjkqUoKSUuZedO43eVKhAQYJs2mzeHpk3hwQOYODHhtg8+MGpOVakC3bvb5nwiIiIiIpIFREUZf0BUrWr8oeLtDf/8p7OjEslSlJQSl2LLoXsWJhNMmWIsL11qzMy6axcsWgQffmisnzzZqEElIiIiIiLC3r1QvTqMH298u926Nfz2G7z9Nnh5pXyslxf4+TkkTJHMzt3ZAYg8yh5JKYC6daF9e9iwAWrVgnv3Hm7LmdOY7U9ERERERLK569dh+HD45BPjtb8/zJkD3boZ33YDnDpl1B0BomNi+GHfPuo3aICH+//+vPbzg8BAJwQvkvkoKSUuIywM/vjD6LHUuLHt22/SxEhKPZqQAuOLjxdfhFWrICjI9ucVEREREREXEBYWn0xKxGyGH34whlj8/bex7h//gOnTIX/+hPsGBj5MOkVHE3HpEjz9tArUiqSDklLiMiy9pGrXhjx5bNt2bCzMmpXyPkOGGLP1aRifiIiIiEgWExYGFSvC/fup71u5MixeDA0a2D8ukWxONaXEZdhr6B4YQ8IvXEh+u9kM588b+4mIiIiISBYTHm5dQqp/f2M6cCWkRBwiQ0mpqKgoW8Uh2ZzZbN+k1KVLtt1PRERERESyoFdfNYrOiohDpCkptXnzZnr37k2ZMmXw8PAgV65c5MmTh8aNGzNlyhT++usve8UpWdzvv8Ply8ZEFXXr2r79IkVsu5+IiIiIiIiIZIxVSak1a9ZQoUIF+vXrh7u7O8OHD2f16tVs3bqVTz75hMaNG7N9+3bKlCnDG2+8wdWrV+0dt2Qxll5SDRqkPsNqejRsCMWLP5ww43EmE5QoYewnIiIiIiJZjNns7AhEJAlWFTqfMWMGs2bNom3btuTIkTiP1bVrVwAuXrzIRx99xPLly3nrrbdsG6lkafYcugdG8fI5c6BLFyMB9ei/SZZE1ezZKnIuIiIiIpLlhIWB/j4VcUlWJaUOHDhgVWPFihXjvffey1BAkv3ExMCuXcayvZJSAEFBsGoVvPlmwqLnxYsbCamgIPudW0REREREHCwmBubOhXHj4M4dZ0cjIklIU02pyMhI4uLiEq2PjY0lMjLSZkFJ9vLzzxARAfnyQY0a9j1XUBCcOwc7d8KKFcbv0FAlpERExHVNmzaN2rVr4+vri7+/Px07duTUqVNJ7ms2m2nbti0mk4m1a9em2K7ZbGbcuHEUKVIEb29vWrRowenTp+1wBSIiTnD4MNSpA2+/bSSkqld3dkQikgSrk1Jr1qyhVq1a3E9iGs379+9Tu3ZtNmzYYNPgJHuwDN1r0sQxw+fc3IxzvfSS484pIiKSXrt372bgwIH8+OOPhISEEB0dTatWrbiTxLf+s2fPxpRcAcXHzJgxg7lz57Jo0SJ++uknfHx8aN26dZLPeiIimcbt28ZQvWeeMb79zpcPFi+GNWtSL17r5QV+fg4JU0QMVg3fA1i4cCHvvvsuuXLlSrTNx8eH4cOHM2/ePNq3b2/TACXrs3c9KRERkcxsy5YtCV4vXboUf39/Dh8+TKNGjeLXHzlyhA8//JBDhw5RJJXpZM1mM7Nnz2bMmDG88MILAHzxxRcEBASwdu1aunfvbvsLERGxtw0bYOBAOH/eeP3SSzBrFgQEGK9PnYLw8OSP9/ODwED7xyki8axOSh0/fpwFCxYku71Ro0aMGTPGJkFJ9nH/Pvzwg7GspJSIiEjqIiIiAChQoED8urt379KjRw/mz59P4cKFU20jNDSUy5cv06JFi/h1efPmpU6dOhw4cEBJKRFxLWFhKSeTYmNh+nT47jvjdenSsGABtGmTcL/AQCWdRFyM1UmpGzduEBMTk+z26Ohobty4YZOgJPvYv99ITBUpApUqOTsaERER1xYXF8eQIUOoX78+VapUiV//1ltvUa9evfheT6m5fPkyAAGW3gP/ExAQEL/tcVFRUURFRcW/ttQTjY6OJjo6Ok3XkdlYri+rX6ez6P7aV6a/v2FhuFepgimFocVmwASY3dyIGzKEuLFjIVcucMA1Z/r768J0b+3L3vfX2natTkqVKlWKQ4cOUSmZzMGhQ4coWbKktc2JAAmH7llZAkNERCTbGjhwIMePH2ffvn3x69avX8+OHTv45Zdf7HruadOmERwcnGj9tm3bkizvkBWFhIQ4O4QsTffXvjLr/c175gxNUql1ZwIiS5Tg8NChRJYu/XBqbwfKrPc3M9C9tS973d+7d+9atZ/VSamgoCBGjx5Ny5YtE32rdvnyZcaMGUPPnj3TFqVke6onJSIi2UFUVBSenp4ZamPQoEFs3LiRPXv2ULx48fj1O3bs4MyZM+TLly/B/p07d6Zhw4bsSuKPM8sQvytXriSoP3XlyhWqJzND1ciRIxk6dGj868jISEqUKEGrVq3IkydP+i8sE4iOjiYkJISWLVvi4eHh7HCyHN1f+8r099fKhLv3ypU0qFXLzsEklunvrwvTvbUve99fS4/q1FidlBoxYgTr1q2jfPny9OzZk4oVKwJw8uRJvvzyS0qUKMGIESPSF61kSxERcPCgsayklIiIZCWbN2/m66+/Zu/evZw/f564uDh8fHx4+umnadWqFX379qVo0aJWtWU2mxk8eDBr1qxh165dlC5dOsH2ESNG8OqrryZYV7VqVWbNmpXsBDSlS5emcOHCfP/99/FJqMjISH766Sf69++f5DGenp5JJtY8PDyyzR8L2elanUH3174y7f11t+5PVg9PT3Di9WXa+5sJ6N7al73ur7VtWp2U8vX15YcffmDkyJGsXLkyvn5Uvnz56NmzJ1OmTMHX1zd90Uq2tHs3xMVB+fJQooSzoxEREcm4NWvWMHz4cG7dukW7du0YPnw4RYsWxdvbm+vXr3P8+HG2b9/OpEmT6NOnD5MmTaJQoUIptjlw4EBWrFjBunXr8PX1ja/5lDdvXry9vSlcuHCSxc0DAwMTJLAqVarEtGnT6NSpEyaTiSFDhjB58mTKly9P6dKlGTt2LEWLFqVjx442vSciIiIiybE6KQXGw8+CBQuYP38+4eHhmM1mChUqhEnFgCQdNHRPRESymhkzZjBr1izatm1Ljhw5Em3v2rUrABcvXuSjjz5i+fLlvPXWWym2uXDhQgCaNGmSYP2SJUvo06eP1bGdOnUqfuY+gHfffZc7d+7w2muvcfPmTRo0aMCWLVvw8vKyuk0REbszm50dgYjYUZqSUhYmkynVb/VEUqOklIiIZDUHDhywar9ixYrx3nvvWbWvOR1/kCV1zOPrTCYTEydOZOLEiWluX0TEIaKiQP+PEsnSEn+Fl4zw8HBef/11unfvzvHjx+0Zk2QDly/Db78ZM+41bersaERERGwrMjKSuLi4ROtjY2OtLvwpIpKt/fUXNG4M69c7OxIRsSOrk1J9+vQhICCATp060a5du3R9aydisWOH8bt6dShY0KmhiIiI2NSaNWuoVasW95OYwvz+/fvUrl2bDRs2OCEyEZFM4scfoVYt+OknyJs39QLmXl7g5+eY2ETEpqwevvfzzz8zffp0nnjiCV5++WWuXr2Kv7+/PWOTLMwydK9ZM+fGISIiYmsLFy7k3XffJVeuXIm2+fj4MHz4cObNm5fszHgiItnap5/CgAHw4AFUqQJr1xpJqfDw5I/x84PAQIeFKCK2Y3VSqmPHjowcOZJSpUrx1FNPKSElGWLpKaV6UiIiktUcP36cBQsWJLu9UaNGjBkzxoERiYhkAtHR8NZbMH++8TooCD7/HHLnNl4r6SSSJVk9fG/evHl0796dihUr8r2lm4tIOpw9C+fOgbs7NGzo7GhERERs68aNG8TExCS7PTo6mhs3bjgwIhERF3f1KrRs+TAhNWkSfPvtw4SUiGRZVveUypEjBz169LBnLJJNWHKazz6rf2dERCTrKVWqFIcOHaJSpUpJbj906BAlS5Z0cFQiIi7q55+hUycICwNfX/jyS9DwZpFsw+qklIitWJJSGronIiJZUVBQEKNHj6Zly5YEBAQk2Hb58mXGjBlDz549nRSdiIiDhYUlXw9qyxaYOBGioqB8eVi3DipXdmx8IuJUViWl2rRpw4QJE3j22WdT3O/WrVssWLCA3LlzM3DgQJsEKFlLXJzqSYmISNY2YsQI1q1bR/ny5enZsycVK1YE4OTJk3z55ZeUKFGCESNGODlKEREHCAuDihUhidlIE2jaFFavhnz5HBKWiLgOq5JSL774Ip07dyZv3ry0b9+eWrVqUbRoUby8vLhx4wYnTpxg3759bNq0ieeee47333/f3nFLJnX8uDFkPFcuqFPH2dGIiIjYnq+vLz/88AMjR45k5cqV8fWj8uXLR8+ePZkyZQq+vr5OjlJExAHCw1NPSAFMn66ElEg2ZVVS6pVXXqFnz558++23rFy5ksWLFxMREQGAyWTiiSeeoHXr1hw8eJDK6m4pKbAM3WvUCHLmdG4sIiIi9pI3b14WLFjA/PnzCQ8Px2w2U6hQIUwmk7NDExFxPW5uzo5ARJzE6ppSnp6e9OzZM74GQkREBPfu3aNgwYJ4eHjYLUDJWlRPSkREshOTyUShQoWcHYaIiIiIS8qR3gPz5s1L4cKFlZASq0VHw+7dxrKSUiIiklWFh4fz+uuv0717d44fP+7scERERERcVrqTUiJpdfAg3L4NBQtCtWrOjkZERMQ++vTpQ0BAAJ06daJdu3aYzWZnhyQi4hy3bzs7AhFxcUpKid3FxsKuXTBrlvG6SRPIoU+eiIhkUT///DPdunWja9euXL58matXrzo7JBERxzt9Gnr3dnYUIuLinJ4auHXrFkOGDKFkyZJ4e3tTr149Dh48mOz+q1evpmXLlhQqVIg8efJQt25dtm7d6sCIJS1Wr4ZSpYxZXletMtZ9/72xXkREJCvq2LEjI0eO5M033+Spp57C39/f2SGJiDjW5s1QuzacO+fsSETExTk9KfXqq68SEhLCsmXLOHbsGK1ataJFixZcvHgxyf337NlDy5Yt2bRpE4cPH6Zp06a0b9+eX375xcGRS2pWr4YuXeDChYTrIyKM9UpMiYhIVjRv3jy6d+9OxYoV+d4yw4eISHZgNsN778FzzxkP/TVrgqdnysd4eYGfn2PiExGXY/Xse/Zw7949vvvuO9atW0ejRo0AmDBhAhs2bGDhwoVMnjw50TGzZ89O8Hrq1KmsW7eODRs28PTTTzsibLFCbCy8+abx79LjzGYwmWDIEHjhBc0AKyIiWUuOHDno0aOHs8MQEXGsO3fglVdg5Urj9T/+AR99BFeuQHh48sf5+UFgoGNiFBGXY7Ok1K+//kqNGjWIjY21+piYmBhiY2Px8vJKsN7b25t9+/ZZ1UZcXBy3bt2iQIECSW6PiooiKioq/nVkZCQA0dHRREdHWx1rZmS5Pmdc5+7dJi5cSP7jZTbD+fOwc2cMjRtnzgKwzry/2YHur33p/tqX7q992fP+6j0TEUmHc+egY0f49VdwdzeSUW+8YWwLDFTSSUSSZdOeUmmdXcbX15e6desyadIkKleuTEBAAF999RUHDhygXLlyVrXxwQcfcPv2bbp27Zrk9mnTphEcHJxo/bZt28iVK1ea4s2sQkJCHH7OPXuKAbVS3W/z5iPcuZP0UM3Mwhn3NzvR/bUv3V/70v21L3vc37t372bo+DZt2jBhwgSeffbZFPe7desWCxYsIHfu3AwcODBD5xQRcaqdO+HFF+HaNfD3NwrJNmzo7KhEJJOwOikVFBSU4vaIiAhMJlOaA1i2bBn9+vWjWLFiuLm5UaNGDV566SUOHz6c6rErVqwgODiYdevWJVtEdOTIkQwdOjT+dWRkJCVKlKBVq1bkyZMnzfFmJtHR0YSEhNCyZUs8PDwcem4fHxMzZ6a+X9u21WncuJr9A7IDZ97f7ED31750f+1L99e+7Hl/LT2q0+vFF1+kc+fO5M2bl/bt21OrVi2KFi2Kl5cXN27c4MSJE+zbt49Nmzbx3HPP8f7779sochERBzObjR5RQ4catTtq1oQ1a6BECWdHJiKZiNVJqQ0bNtCyZUsCAgKS3J6WYXuPKlu2LLt37+bOnTtERkZSpEgRunXrRpkyZVI87uuvv+bVV1/l22+/pUWLFsnu5+npiWcSxfU8PDyyzR8KzrjWpk2heHG4eDHpulImk7G9aVP3TF9TKjt9lpxB99e+dH/tS/fXvuxxfzPa3iuvvELPnj359ttvWblyJYsXLyYiIgIAk8nEE088QevWrTl48CCVK1e2RcgiIvYRFpZ8LaioKJg58+H02j17wuLF4O3tuPhEJEuwOilVuXJlOnfuzCuvvJLk9iNHjrBx48Z0B+Lj44OPjw83btxg69atzJgxI9l9v/rqK/r168fXX3/Nc889l+5ziv24ucGcOdC5c+Jtlg51s2eryLmIiGQ9np6e9OzZk549ewJGb/J79+5RsGBBJSlFJHMIC4OKFeH+/ZT3M5nggw/grbcePuSLiKRBDmt3rFmzJj///HOy2z09PQlMRwG7rVu3smXLFkJDQwkJCaFp06ZUqlSJvn37Asbwu169esXvv2LFCnr16sWHH35InTp1uHz5MpcvX47/FlJcR/XqkCOJT1jx4saXKqmMCBUREckS8ubNS+HChZWQEpHMIzw89YQUwPz5xvA9JaREJJ2s7im1aNGiFIfoVa5cmdDQ0DQHEBERwciRI7lw4QIFChSgc+fOTJkyJf7B7dKlS4SFhcXvv3jxYmJiYhg4cGCCwqC9e/dm6dKlaT6/2M+ECRAXB61bw4gRcOkSFCli1D1UDykRERERkUyuTh1nRyAimZzVSamVK1fSrVs3mwfQtWvXZGfOAxIlmnbt2mXzGMT2fvsNli83lqdMMeoeioiIiIiIiIhYWD18r2/fvhoiJ1YbO9YocN6lixJSIiIiIiIiIpKY1Ukpc1JTqIkk4eBBYzbYHDlg4kRnRyMiIiIiIla7cwc++cTZUYhINmF1UgqMqYxFUjN6tPG7Vy/QbNciIiKGK1euJKiTKSLiUqKjYeFCKFvW+C0i4gBW15QCaN68Oe7uKR+S0gx9kvXt3AkhIeDhAePHOzsaERERx7t16xb9+/dn7969NGnShH/961+89dZbLFy4EJPJRIMGDdiwYQN58uRxdqgiIkbNjVWrjG+WT5821hUrBhcvOjcuEckW0pSUat26Nblz57ZXLJLJmc0Pe0m99hqUKuXUcERERJxi1KhRHD58mHfeeYfVq1fTtWtXzpw5w969e4mNjaV///5Mnz6dKVOmODtUEcnudu6E4cON+hsAhQrBuHHQpg1UrQr37yd/rJcX+Pk5Jk4RybLSlJQaNmwY/v7+9opFMrl//xsOHABv74fJKRERkexm3bp1fP755zRt2pTOnTtTvHhx1q9fT/369QGYMWMGb7/9tpJSImI/YWEQHm4sx8SQ98wZ+OUXsIx6uXIF5syBrVuN1z4+8M478Pbb4OtrrDt16mEbSfHzg8BA+12DiGQLVielVE9KUhIX9zAR9c9/QpEizo1HRETEWf7++2/KlSsHQNGiRfH29qZChQrx26tUqcL58+edFZ6IZHVhYVCxYnwvJw+gSXL7urvDG2/AmDEQEJBwW2Cgkk4iYncZmn3vvffe4+bNm7aMRzKpb76Bo0chTx54911nRyMiIuI8BQsW5OrVq/GvX3jhBfLlyxf/+vbt23h6ejohMhHJFsLDUx52Z9GqFfz+O3z0UeKElIiIg1idlAoNDaVQoUIJ1k2dOpXr16/bPCjJXKKjYexYY3nYMChQwLnxiIiIONNTTz3FQUt9FmDFihUJyh8cPHiQypqeVkScbdo0+F+vThERZ7F6+F7JkiUTrUuq95RkP59/Dn/8YdRFfPNNZ0cjIiLiXF9++SU5ciT/vV9AQIDqSYmIiIiQhp5SIkm5fx+Cg43lUaMe1kUUERHJrubNm0fOnDmT3d62bVuaNGniuIBEREREXFSGklInTpxIsgeVZB+LFsGFC1C8uFEjUUREJLsLDg7m9u3bzg5DRLKr6GhnRyAiYjWrh+8lpUSJEraKQzKhW7dg6lRjefx48PJybjwiIiKuQOUNRMRpoqKMIq8iIplEmnpKLViwgBYtWtC1a1e+//77BNvCw8MpU6aMTYMT1zZnDly9CuXLQ+/ezo5GRETEdZhMJmeHICLZzf37EBQEe/c6OxIREatZnZSaO3cuw4YNo1KlSnh6etKuXTumTZsWvz02NpY///zTLkGK67l+Hd5/31ieOBE8PJwbj4iIiCupUKECBQoUSPFHRMRm7t2Djh1h0ybw9Ez94dzLC/z8HBKaiEhKrB6+9/HHH/Ovf/2LHj16ANC/f386duzIvXv3mDhxot0CFNc0YwZERsJTT0HXrs6ORkRExLUEBweTN29eZ4chItnB3btGQiokBHLlgo0boWxZCA8HIDomhh/27aN+gwZ4uP/vzz8/PwgMdF7MIiL/Y3VSKjQ0lHr16sW/rlevHjt27KBFixZER0czZMgQe8QnLujSJZg711ieMgVSmPVaREQkW+revTv+/v7ODkNEsro7d6BDB9ixA3x8jJ5SjRoZ2yxJp+hoIi5dgqef1vAGEXE5Viel/Pz8OH/+PKVKlYpfV6VKFXbs2EGzZs3466+/7BGfuKApU4wewnXrwnPPOTsaERER16J6UiLiEHfuwPPPw65dkDs3bN4MDRo4OyoRkTSxuo9LgwYNWL16daL1TzzxBN9//z2bN2+2aWDimkJDYfFiY3nqVNBzt4iISEKafU9E7O7WLWjb1khI+frC1q1KSIlIpmR1T6kRI0Zw+PDhJLc9+eST7Nixg++++85mgYlrCg6G6Gho2RKaNHF2NCIiIq4nLi7O2SGISFYWGQnt2sEPP0CePEZC6tlnnR2ViEi6WJ2UWrt2Le+8806y26tUqUKVKlVsEpS4phMnYNkyY3nKFOfGIiIiIiKS7UREGD2kDhyAfPlg2zaoXdvZUYmIpJvVw/eCg4O5ffu2PWMRFzduHMTFQadO+rdPRERERMShbt6E1q2NhFT+/LB9ux7KRSTTs7qnlOojZE+xsbB3r9E72DI6c9Ik58YkIiIiIpIlhYVBeHji9ZGRMGAA/P47FChgJKSeftrx8YmI2JjVSSnQbDLZzerV8OabcOHCw3W5csGpU/Dkk86LS0REREQkywkLg4oV4f79lPf78kslpEQky0hTUqpChQqpJqauX7+eoYDENaxeDV26wOMd5O7dM9avWgVBQc6JTUREREQkywkPTz0hBeDvb/9YREQcJE1JqeDgYPLmzWuvWMRFxMYaPaSSGrFpNoPJBEOGwAsvgJubw8MTERERERERkSwgTUmp7t2746/MfJa3d2/CIXuPM5vh/HljvyZNHBaWiIiIiIiIiGQhVs++p3pS2celS7bdT0RERERERETkcVYnpTT7XvZRpIht9xMRERERkVT8/bezIxARcTirk1JxcXEaupdNNGwIxYsnv91kghIljP1ERERERCSD1q2D7t2dHYWIiMNZnZSS7MPNDTp0SHqbZRTn7Nkqci4iIiIikiF370L//tCxI0REODsaERGHU1JKEomKgo0bjeXHJ1ssXhxWrYKgIMfHJSIiIiKSZfz6K9SqBYsWGa9ffx08PVM+xssL/PzsH5uIiIOkafY9yR4WL4awMChaFE6dgkOHjKLmRYoYQ/bUQ0pEREREJJ3MZpg7F959Fx48MB6yP/8cWraEUaMgPDz5Y/38IDDQcbGKiNiZklKSwJ07MHmysTxuHOTODU2aODUkEREREZGs4coV6NMHtmwxXrdvD59+CoUKGa8DA5V0EpFsRcP3JIG5c42JP8qUgX79nB2NiIiIiEgWsXkzPPWUkZDy8oL5840C55aElIhINqSeUhLvxg2YMcNYnjgRPDycG4+IiIiISKYRFpb00LuoKPjoI/jqK+N11arG8pNPOjY+EREXpKSUxPvgA7h5E6pU0Yy0IiIiIiJWCwuDihXh/v2U9+vbFxYsMHpKiYiIhu+J4coVmD3bWJ48WcXMRURERESsFh6eekIKYNAgJaRERB6hpJQAMHUq3L0LzzwDHTo4OxoRERERERERyeqUlBL+/BMWLTKWp04Fk8m58YiIiIiIiIhI1qeklDBxIjx4AM2aQfPmzo5GRERERCQTuX8fvvjC2VGIiGRKSkplc6dOwdKlxvKUKU4NRUREREQk84iNNR6kK1SAOXOcHY2ISKakpFQ2N24cxMUZdaSefdbZ0YiIiIiIuDizGTZsgGrVjNn0zp8Hf39nRyUikikpKZWN/fILfPONUUNq0iRnRyMiIiJJmTZtGrVr18bX1xd/f386duzIqVOnEuzz+uuvU7ZsWby9vSlUqBAvvPACJ0+eTLHdPn36YDKZEvy0adPGnpcikvnt3w+NGhnf6P72G+TPD++/D2vWODsyEZFMyd3ZAYjzjBlj/O7eHZ56yrmxiIiISNJ2797NwIEDqV27NjExMYwaNYpWrVpx4sQJfHx8AKhZsyb/93//R2BgINevX2fChAm0atWK0NBQ3Nzckm27TZs2LFmyJP61p6en3a9HxOWEhUF4ePLb/fzgzh0YNQrWrjXWeXnBkCEwfDjky2e04eVl1JdKjpeX0ZaIiMRTUiqb2rcPNm0CNzcIDnZ2NCIiIpKcLVu2JHi9dOlS/P39OXz4MI0aNQLgtddei99eqlQpJk+eTLVq1Th37hxly5ZNtm1PT08KFy5sn8BFMoOwMKhYMeVkkpubUe/CbIYcOaBfPxg/HooXf7hPYKBRrDW15FZgoO1iFxHJApSUyobMZuOLHjD+TS1f3rnxiIiIiPUiIiIAKFCgQJLb79y5w5IlSyhdujQlSpRIsa1du3bh7+9P/vz5adasGZMnT6ZgwYJJ7hsVFUVUVFT868jISACio6OJjo5Oz6VkGpbry+rX6SxOvb+XL+ORUkIKjILmQFyHDsROmgSVKxvrH4+3SBHjJyVOuEZ9fu1L99d+dG/ty97319p2lZTKhrZtg717wdMTxo51djQiIiJirbi4OIYMGUL9+vWpUqVKgm0LFizg3Xff5c6dO1SsWJGQkBBy5syZbFtt2rQhKCiI0qVLc+bMGUaNGkXbtm05cOBAkkP+pk2bRnAS3au3bdtGrly5Mn5xmUBISIizQ8jSnHF/8545QxMr9vt58GDON28OoaHGTyakz6996f7aj+6tfdnr/t69e9eq/ZSUymbMZhg92lgeMABS+QJVREREXMjAgQM5fvw4+/btS7Tt//7v/2jZsiWXLl3igw8+oGvXrvzwww94eXkl2Vb37t3jl6tWrcpTTz1F2bJl2bVrF82bN0+0/8iRIxk6dGj868jISEqUKEGrVq3IkyePDa7OdUVHRxMSEkLLli3x8PBwdjhZjlPv7y+/WLVb1Z49qfr003YOxj70+bUv3V/70b21L3vfX0uP6tQoKZXNrFkDhw9D7twwcqSzoxERERFrDRo0iI0bN7Jnzx6KP1rL5n/y5s1L3rx5KV++PM8++yz58+dnzZo1vPTSS1a1X6ZMGfz8/Pjjjz+STEp5enomWQjdw8Mj2/yxkJ2u1Rmccn/drftzyMPdHTL5e6/Pr33p/tqP7q192ev+WtumklLZSGzswxn33noLChVybjwiIiKSOrPZzODBg1mzZg27du2idOnSVh1jNpsT1IBKzYULF7h27RpFUquJIyIiImIjOZwdgDjOl1/C779D/vzw9tvOjkZERESsMXDgQJYvX86KFSvw9fXl8uXLXL58mXv37gFw9uxZpk2bxuHDhwkLC2P//v28+OKLeHt7065du/h2KlWqxJo1awC4ffs2w4YN48cff+TcuXN8//33vPDCC5QrV47WrVs75TpFnGLjRmdHICKSrSkplU08eGDMXAswYgTkzevceERERMQ6CxcuJCIigiZNmlCkSJH4n5UrVwLg5eXF3r17adeuHeXKlaNbt274+vqyf/9+/P3949s5depU/Mx9bm5uHD16lA4dOlChQgVeeeUVatasyd69e5McoieS5ZjN8N57Dx+QRUTEKTR8L5v45BM4dw4KF4ZBg5wdjYiIiFjLbDanuL1o0aJs2rQpTe14e3uzdevWDMcmkinFxhq1LD76yHjt5masS46XF/j5OSY2EZFsRkmpbODuXZg0yVgeOxayyazNIiIiIiIJ3b8PvXrBt98ar2fOhM6dITw8+WP8/CAw0DHxiYhkM0pKZVGxsbB7t4k9e4qxcWMOLl+GUqXg1VedHZmIiIiIiBNEREDHjrBrlzGT3hdfQPfuxjYlnUREnMLpNaVu3brFkCFDKFmyJN7e3tSrV4+DBw+meMyuXbuoUaMGnp6elCtXjqVLlzom2Exi9WojAdWypTszZ9bik0/cAGjfHnLmdG5sIiIiIiIOd/EiNGxoJKR8fWHz5ocJKRERcRqnJ6VeffVVQkJCWLZsGceOHaNVq1a0aNGCixcvJrl/aGgozz33HE2bNuXIkSMMGTKEV199VXUR/mf1aujSBS5cSLxt3jxju4iIiIhItvH771CvHhw7ZhRY3bMHmjd3dlQiIoKTk1L37t3ju+++Y8aMGTRq1Ihy5coxYcIEypUrx8KFC5M8ZtGiRZQuXZoPP/yQypUr/397dx4fVXn2f/w7JCELS0ACSVgCATGAKKClEEAWZRGXJ5YqVVFAniIoylZBFkFkacRWxWqlWFsQRVrlAfRxAUNEZAko1qVVDFt0QBL4BYEgIZDl/v1xHgbGrJCcOTPJ5/168cqZc+4zueZiGC+vuc999NBDD+n222/Xs88+6+Po/U9hoTRhgnUzkdJMnFj2Oo4AAABAtZGWJvXqJbndUtu20rZtUufOTkcFAPg/jq4pVVBQoMLCQoWFhXntDw8P15YtW0o8Jy0tTf379/faN2jQIE2cOLHE8WfOnNGZM2c8j3NyciRJ+fn5ys/Pr0T0/mfTJpcOHiz9r9QY6cABaePGAvXpU/adfFC+c++f6vY+8hfk117k117k11525pe/M6Aaeftt6xK906elbt2kd97hLnoA4GccbUrVq1dPiYmJmjdvntq3b6/o6GitXLlSaWlpuvzyy0s8JysrS9HR0V77oqOjlZOTo9OnTys8PNzrWHJysp544oliz/PBBx8ooprdhu7jj5tJ+kW5495//wudOlXy5ZG4eCkpKU6HUK2RX3uRX3uRX3vZkd/c3Nwqf04ANnG7S79r3urV0u9/b30re9NN0htvSHXq+DY+AEC5HL/73quvvqpRo0apWbNmCgoK0jXXXKO77rpLn332WZU8//Tp0zV58mTP45ycHLVo0UIDBw5U/fr1q+R3+Is6dVx65pnyxw0e3Fl9+nSyP6BqLj8/XykpKRowYIBCQkKcDqfaIb/2Ir/2Ir/2sjO/52ZUA/BzbreUkCDl5ZU9buhQacUKKdjx/+0BAJTA8U/nNm3aaNOmTTp16pRycnIUGxur3/zmN2rdunWJ42NiYnT48GGvfYcPH1b9+vWLzZKSpNDQUIWGhhbbHxISUu3+R6FfP6l5c+vmIiWtK+VyWcf79QtWUJDv46uuquN7yZ+QX3uRX3uRX3vZkV/+voAAkZ1dfkNKkqZOpSEFAH7M8bvvnVOnTh3Fxsbq2LFjWr9+vZKSkkocl5iYqNTUVK99KSkpSkxM9EWYfi0oSHruudIbUpK0aJFoSAEAAKBmOFcEAwD8kuNNqfXr12vdunXKyMhQSkqK+vXrp3bt2um+++6TZF1+N3z4cM/4sWPHav/+/Zo6daq+/fZbvfjii3rjjTc0adIkp16CXyllKS41by6tWiUNGeLbeAAAAAAAAErieFPqxIkTGjdunNq1a6fhw4erV69eWr9+vWf6fGZmptxut2d8fHy83n33XaWkpKhTp056+umn9fLLL2vQoEFOvQS/MmuW9fP226WUlAJNnrxTKSkFysigIQUAAAAAAPyH4xdYDx06VEOHDi31+LJly4rt69u3rz7//HMbowpM27dbd76tVUuaP19q3dro1Kkf1KdPJy7ZAwAAQPVgjFX0AgACnuNNKVSdmTOtnyNHWjcjyc93NBwAAACgau3eLY0dK23c6HQkAIAq4Pjle6gaqanShx9KtWtLs2c7HQ0AAABQhc6ckebNk66+2mpIlXB3bQBA4KEpVQ0YI82YYW2PHSu1bOlsPAAAAECV2bxZ6tLF+ub1zBlp4EBpwwYpLKzs88LCpKgo38QIALgkXL5XDbz9tvTJJ1JExPnmFAAAABDQjh2Tpk6VXn7ZetykibRokXTnnZLLJaWnS9nZpZ8fFSXFxfkkVADApaEpFeAKC6XHHrO2J06UoqMdDQcAAAAon9t9vqFUUKDIffukzz+XgoOtywC2bbPu3HPkiDXmt7+VFi6ULrvs/HPExdF0AoAAR1MqwP3jH9J//iM1aCA98ojT0QAAAADlcLutu/Lk5UmSQiT1LW1s+/bSkiXSddf5KDgAgC+xplQAy88/v6j51KlSw4bOxgMAAACUKzvb05Aq09ix1uwpGlIAUG3RlApgf/+7tH+/dXn9+PFORwMAAABUodGjucseAFRzNKUC1OnT0ty51vZjj0l16jgbDwAAAAAAwMWgKRWgXnxROnTIWtvx/vudjgYAAACoIGOcjgAA4CdoSgWgnBwpOdnanjOHWc0AAAAIEG63NGmS01EAAPwETakA9Oyz0tGj1k1L7r3X6WgAAACAchQWSosWSR06SJs3Ox0NAMBP0JQKMNnZ0tNPW9tz50rBwc7GAwAAAJTpX/+SunWzZkidOiV16uR0RAAAP0FTKsAsXCidPCl17izdfrvT0QAAAACl+OknafJkqWtX6bPPpMhIackSae1aKSys7HPDwqSoKJ+ECQBwDvNsAsihQ9ILL1jbCxZItWgpAgAAwB+98440bpy1hpQk3XmntQZFTIz1OD3dugRAUn5BgbZu2aKevXop5NxlAFFR1h19AADVGk2pADJ/vpSXJ/XsKQ0e7HQ0AAAAqHHcbk8zqUSFhdJTT0mrVlmPW7Wybhv98+I1Lu580yk/XycyM6UuXaSQEFvCBgD4J5pSAWL/fumvf7W2f/97yeVyNh4AAADUMG63daedvLzyxwYFWZfuPf64VKeO/bEBAAISTakAMWeOVFAgDRok9e7tdDQAAACocbKzK9aQuvJKacUKFjQHAJSLVYkCwNdfS6+9Zm0vWOBsLAAAAECZli6lIQUAqBCaUgFg1izJGOnXv5auvdbpaAAAAIAyBAU5HQEAIEDQlPJzn34qrVlj3Wlv7lynowEAAAAAAKgaNKX83MyZ1s9775U6dHA2FgAAANRQRUXS2rVORwEAqGZY6NwPFRZKmzdLGzZIKSlScLB14xIAAADA53btksaMsQpUAACqEE0pP7N6tTRhgnTw4Pl9oaHS559L8fHOxQUAAIAaJi9PSk62/uTnS2FhFbv7HgAAFcTle35k9Wrp9tu9G1KSlJtr7V+92pm4AAAAUMNs3GjdQW/uXKshdfPNUmqq1ZgqS1iYFBXlmxgBAAGPmVJ+orDQmiFlTPFjxkgulzRxopSUxA1NAAAAYJOjR6VHHpGWLbMex8RIf/qT9Q2pyyWlp0vZ2aWfHxUlxcX5JFQAQOCjKeUnNm8uPkPqQsZIBw5Y4/r29VlYAAAAqC7c7tIbSsZIH38s/f731hiXSxo71nrcoMH5cXFxNJ0AAFWGppSfyMys2nEAAACAh9stJSRUbE2ojh2ll16SEhPtjwsAUKOxppSfiI2t2nEAAACAR3Z2xRpS48ZJ//oXDSkAgE/QlPIT110nNW9uzZQuicsltWhhjQMAAABsMWqUFBLidBQAgBqCppSfCAqSnnuu5IXOzzWqFi1ikXMAAAAAAFA90JTyI0OGSP36Fd/fvLm0apV1HAAAAAAAoDpgoXM/Yoy0d6+1/dRTVjMqNta6ZI8ZUgAAALgkxkhvveV0FAAAFENTyo/s3SsdOCDVrm2tMRkR4XREAAAACGjHjkn3329NuwcAwM/QlPIjqanWz8REGlIAAACopI8/lu65x/rWMyhIKix0OiIAALywppQfOdeUuuEGZ+MAAABAAMvPl2bNshYrPXBAuvxyac0aKSys7PPCwqSoKN/ECACAmCnlN4qKpI0brW2aUgAAALgk+/dLw4ZJ27dbj++7T/rTn6S6daX0dCk7u/Rzo6KkuDjfxAkAgGhK+Y0vv5SOHrXqha5dnY4GAAAAAee116QHH5ROnpQiI6UlS6Tf/Ob88bg4mk4AAL9CU8pPnLt0r08fKSTE2VgAAADgR9zusmc41a4tPfmktGKF9bhnT2u7ZUvfxAcAwCWiKeUnWE8KAAAAxbjdUkKClJdX+hiXSzLGWsx89mxpxgwpmDIfAOD/+K+VHzh71ro5ikRTCgAAABfIzi67ISVZDanYWGnVKqlHD9/EBQBAFeDue35gxw4pN1dq3Fjq2NHpaAAAABBwVq6kIQUACDg0pfzAuUv3rr9eqsXfCAAAAC5WvXpORwAAwEWjBeIHWE8KAAAAAADUNDSlHPbTT9L27dY2TSkAAAB4KShwOgIAAGxDU8phmzdbtUarVlLr1k5HAwAAAL/xySfSPfc4HQUAALahKeUwLt0DAACAl5wcafx4qXt3ac8ep6MBAMA2NKUcRlMKAAAAHmvWSB06SM8/Lxkj/epXUmho2eeEhUlRUb6JDwCAKhTsdAA1WXa29MUX1vb11zsaCgAAAJx04ID08MPSW29Zj9u0kRYvlgYMkNxuq3AsTVSUFBfnmzgBAKhCNKUctHGj9bNjRyk62tlYAAAA4IDCQunPf5ZmzrTugBMcLE2dKj32mBQebo2Ji6PpBAColmhKOYhL9wAAAKq5smY5ffut9OST0r//bT3u0UNassT6xhIAgBqAppSDaEoBAABUY263lJAg5eWVPa5ePekPf5BGj5ZqseQrAKDmoCnlELdb2rtXCgqS+vRxOhoAAABUuezs8htSkvTmm9KgQfbHAwCAn+GrGIecmyXVtatUv76zsQAAAMBBjRs7HQEAAI6gKeUQLt0DAAAAAAA1GU0pBxhDUwoAAFRMcnKyunbtqnr16qlJkya67bbblJ6e7jVmzJgxatOmjcLDw9W4cWMlJSXp22+/LfN5jTGaPXu2YmNjFR4erv79+2vPnj12vhQAAAAvjjalCgsLNWvWLMXHxys8PFxt2rTRvHnzZIwp87wVK1aoU6dOioiIUGxsrEaNGqWjR4/6KOrK27VLysqSwsKkxESnowEAAP5s06ZNGjdunLZv366UlBTl5+dr4MCBOnXqlGfMtddeq6VLl2rXrl1av369jDEaOHCgCgsLS33ep556Sn/605/0l7/8RTt27FCdOnU0aNAg5VVkDSRUzI8/Oh0BAAB+zdGFzhcuXKjFixfrlVde0ZVXXqmdO3fqvvvuU2RkpMaPH1/iOVu3btXw4cP17LPP6tZbb9UPP/ygsWPHavTo0Vq9erWPX8GlOTdLqlcvqzEFAABQmnXr1nk9XrZsmZo0aaLPPvtMvXv3liTdf//9nuOtWrXS/Pnz1alTJ3333Xdq06ZNsec0xmjRokV67LHHlJSUJElavny5oqOjtXbtWt155502vqIaIitLuuDvBQAAFOdoU2rbtm1KSkrSzTffLMkqolauXKlPPvmk1HPS0tLUqlUrT9MqPj5eY8aM0cKFC30Sc1Xg0j0AAHCpTpw4IUm67LLLSjx+6tQpLV26VPHx8WrRokWJYzIyMpSVlaX+/ft79kVGRqpbt25KS0srsSl15swZnTlzxvM4JydHkpSfn6/8/PxLfj2B4Nzrq/DrzMxU8MCBcmVkVOz5Cwqkap7Dslx0fnFRyK+9yK99yK297M5vRZ/X0aZUjx499NJLL2n37t264oor9OWXX2rLli165plnSj0nMTFRM2bM0HvvvafBgwfryJEjWrVqlW666aYSx/tbAVVQIH30UbAkl/r0KVB+ftmXKlYG/4jtRX7tRX7tRX7tRX7tZWd+/f3vrKioSBMnTlTPnj3VsWNHr2Mvvviipk6dqlOnTikhIUEpKSmqXbt2ic+TlZUlSYqOjvbaHx0d7Tn2c8nJyXriiSeK7f/ggw8UERFxKS8n4KSkpJQ7JuzoUfWcNUshhw7pdMOGqn3ypIIKCkodXxgSoo1ffaXTmZlVGWpAqkh+cenIr73Ir33Irb3sym9ubm6FxrlMeQs42aioqEgzZszQU089paCgIBUWFmrBggWaPn16mee9+eabGjVqlPLy8lRQUKBbb71V//M//6OQkJBiY+fMmVNiAfX66687UkDt3t1AU6f2UZ06Z7V8+fsKCvJ5CAAAoBS5ubm6++67deLECdWvX9/pcIp54IEH9P7772vLli1q3ry517ETJ07oyJEjyszM1B//+Ef98MMP2rp1q8JKWCtg27Zt6tmzpw4dOqTY2FjP/qFDh8rlcumf//xnsXNK+qKvRYsWys7O9stcVaX8/HylpKRowIABJdabHgcPWjOk9u6VadlSBR98IAUFSWWtfdqokRQXV/VBB5AK5xeXhPzai/zah9zay+785uTkKCoqqtyaytGZUm+88YZWrFih119/XVdeeaW++OILTZw4UU2bNtWIESNKPOebb77RhAkTNHv2bA0aNEiZmZmaMmWKxo4dq7/97W/Fxk+fPl2TJ0/2PD5XQA0cONCRAurf/7bWlr/hhmDdemvJs7uqCv+I7UV+7UV+7UV+7UV+7WVnfs/NqPZHDz30kN555x19/PHHxRpSknX5XWRkpNq2bavu3burYcOGWrNmje66665iY2NiYiRJhw8f9mpKHT58WJ07dy7x94eGhio0NLTY/pCQkBrzPi/ztbrdUv/+0v79UqtWcm3cqJBWraxjJazrheJq0nvJCeTXXuTXPuTWXnblt6LP6WhTasqUKZo2bZpn3YKrrrpK33//vZKTk0ttSiUnJ6tnz56aMmWKJOnqq69WnTp1dN1112n+/PlehZXkfwXURx9ZPwcMqKWQEN/c/JB/xPYiv/Yiv/Yiv/Yiv/ayI7/++PdljNHDDz+sNWvW6KOPPlJ8fHyFzjHGeM1sulB8fLxiYmKUmprqaULl5ORox44deuCBB6oy/Jrh+++lfv2kjAypdWtp48YaP/sJAICK8E1XpBS5ubmqVcs7hKCgIBUVFV30OZJVgPmzvDxp61Zrm0XOAQBARYwbN06vvfaaXn/9ddWrV09ZWVnKysrS6dOnJUn79+9XcnKyPvvsM7ndbm3btk133HGHwsPDvdbcbNeundasWSNJcrlcmjhxoubPn6+3335b//73vzV8+HA1bdpUt912mxMvM3BlZEh9+lg/L7/c+gaShhQAABXi6EypW2+9VQsWLFBcXJyuvPJKff7553rmmWc0atQoz5jp06frhx9+0PLlyz3njB49WosXL/Zcvjdx4kT98pe/VNOmTZ16KRWybZvVmIqNldq1czoaAAAQCBYvXixJ6tu3r9f+pUuXauTIkQoLC9PmzZu1aNEiHTt2TNHR0erdu7e2bdumJk2aeManp6d77twnybMo+v3336/jx4+rV69eWrduXYlrUKEU+/ZZM6QOHJCuuEL68EOpWTOnowIAIGA42pR6/vnnNWvWLD344IM6cuSImjZtqjFjxmj27NmeMZmZmXK73Z7HI0eO1MmTJ/XCCy/od7/7nRo0aKDrr79eCxcudOIlXJTUVOvnDTdILpezsQAAgMBQ3kzwpk2b6r333rvo53G5XJo7d67mzp1bqfhqrD17pOuvlw4elBISrEv2fraMBAAAKJujTal69epp0aJFWrRoUaljli1bVmzfww8/rIcffti+wGxyYVMKAAAAASo93WpIHToktW9vzZD6v8XjAQBAxTnalKpJTpyQPv3U2qYpBQAA4Ofcbik729ouKFDkvn3S559bl+qNGSMdPSpdeaXVkLrgMkkAAFBxNKV8ZNMmqahIattWatHC6WgAAABQKrfbuiQvL0+SFCKp78/HuFzSq6/SkAIAoBIcvfteTcKlewAAAAEiO9vTkCqVMdYfAABwyWhK+QhNKQAAAAAAgPNoSvlAVpb09dfW9s/u5gwAAAAAAFAj0ZTygQ8/tH527ixFRTkaCgAAAAAAgF+gKeUDXLoHAAAQQM5NcQcAALaiKWUzY2hKAQAABITCQunJJ6X77nM6EgAAaoRgpwOo7vbvl77/XgoOlq67zuloAAAAUKKDB6Xhw6WNG52OBACAGoOZUjY7N0uqe3epbl1nYwEAAEAJ1qyROnWyGlJ16kh/+IMUFlb2OWFhLBYKAEAlMVPKZly6BwAA4KdOnZImT5Zeesl6fO210uuvS1dcIQ0dKmVnS5LyCwq0dcsW9ezVSyHB/1c+R0VJcXEOBQ4AQPVAU8pGRUXn77xHUwoAAMCPfP65dPfd0rffSi6XNGWKNG+eVLu2dTwu7nzTKT9fJzIzpS5dpJAQ52IGAKCaoSllo//8x/qCLSJC6tbN6WgAAABqALfbM8OpRJddZl2uN22adPasFBsrvfoq3yACAOAAmlI2OnfpXu/e5790AwAAgE3cbikhQcrLK31MrVrWdHZJSkqSXn6ZtaEAAHAIC53biPWkAAAAfCg7u+yGlGQ1pGrXlhYvtmZM0ZACAMAxzJSySX6+tGmTtU1TCgAAwI+sWCHdfrv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      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#TERCER SET\n",
    "\n",
    "tiempo = tercer_set[:, 0]       # Tiempo en minutos\n",
    "diff = tercer_set[:, 1]         # Diferencia T2-T1 (°C)\n",
    "T3 = tercer_set[:, 2]           # Temperatura T3 (°C)\n",
    "\n",
    "plt.figure(figsize=(12, 5))\n",
    "plt.suptitle(f'Caudal: {tercer_caudal_rpm} RPM ({tercer_caudal} ml/min)', fontsize=16)\n",
    "\n",
    "# Gráfica de T2-T1 vs Tiempo\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.plot(tiempo, diff, marker='o', linestyle='-', color='blue')\n",
    "plt.xlabel('Tiempo (min)')\n",
    "plt.ylabel('T2-T1 (°C)')\n",
    "plt.title('Diferencia (T2-T1) vs Tiempo')\n",
    "plt.grid(True)\n",
    "\n",
    "# Gráfica de T3 vs Tiempo\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.plot(tiempo, T3, marker='s', linestyle='-', color='red')\n",
    "plt.xlabel('Tiempo (min)')\n",
    "plt.ylabel('T3 (°C)')\n",
    "plt.title('T3 vs Tiempo')\n",
    "plt.grid(True)\n",
    "\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#CUARTO SET\n",
    "\n",
    "tiempo = cuarto_set[:, 0]       # Tiempo en minutos\n",
    "diff = cuarto_set[:, 1]         # Diferencia T2-T1 (°C)\n",
    "T3 = cuarto_set[:, 2]           # Temperatura T3 (°C)\n",
    "\n",
    "plt.figure(figsize=(12, 5))\n",
    "plt.suptitle(f'Caudal: {cuarto_caudal_rpm} RPM ({cuarto_caudal} ml/min)', fontsize=16)\n",
    "\n",
    "# Gráfica de T2-T1 vs Tiempo\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.plot(tiempo, diff, marker='o', linestyle='-', color='blue')\n",
    "plt.xlabel('Tiempo (min)')\n",
    "plt.ylabel('T2-T1 (°C)')\n",
    "plt.title('Diferencia (T2-T1) vs Tiempo')\n",
    "plt.grid(True)\n",
    "\n",
    "# Gráfica de T3 vs Tiempo\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.plot(tiempo, T3, marker='s', linestyle='-', color='red')\n",
    "plt.xlabel('Tiempo (min)')\n",
    "plt.ylabel('T3 (°C)')\n",
    "plt.title('T3 vs Tiempo')\n",
    "plt.grid(True)\n",
    "\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#QUINTO SET\n",
    "\n",
    "tiempo = quinto_set[:, 0]       # Tiempo en minutos\n",
    "diff = quinto_set[:, 1]         # Diferencia T2-T1 (°C)\n",
    "T3 = quinto_set[:, 2]           # Temperatura T3 (°C)\n",
    "\n",
    "plt.figure(figsize=(12, 5))\n",
    "plt.suptitle(f'Caudal: {quinto_caudal_rpm} RPM ({quinto_caudal} ml/min)', fontsize=16)\n",
    "\n",
    "# Gráfica de T2-T1 vs Tiempo\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.plot(tiempo, diff, marker='o', linestyle='-', color='blue')\n",
    "plt.xlabel('Tiempo (min)')\n",
    "plt.ylabel('T2-T1 (°C)')\n",
    "plt.title('Diferencia (T2-T1) vs Tiempo')\n",
    "plt.grid(True)\n",
    "\n",
    "# Gráfica de T3 vs Tiempo\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.plot(tiempo, T3, marker='s', linestyle='-', color='red')\n",
    "plt.xlabel('Tiempo (min)')\n",
    "plt.ylabel('T3 (°C)')\n",
    "plt.title('T3 vs Tiempo')\n",
    "plt.grid(True)\n",
    "\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Laplace"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Datos Experimento"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Los datos íntegros tomados en laboratorio de los puntos de las curvas equipotenciales."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Datos por potencial en el que indicamos sus coordenadas cartesianas. Matriz tipo [[y, x]] por cada potencial\n",
    "# De primeras, las dos circunferencias que generan las lineas de campo (una cargada positivamente y otra a tierra), se encuentran a continuación. La información viene como coordenadas y radio así [[y, x, radio]] y todas las unidades son siempre en cm\n",
    "circunferencia_0V = np.array([[0, 14.25, 1.75]])\n",
    "circunferencia_10V = np.array([[0, 24.25, 1.75]])\n",
    "\n",
    "# Y ahora sí, las coordenadas de cientos puntos del espacio por potencial\n",
    "\n",
    "puntos_1V = np.array([[0, 11.4], [2, 12.3], [0, 16.5], [2, 15.5], [2.6, 14.2], [-2, 12.1], [-2, 12.8], [-2.6, 14.9], [-1, 11.5], [-1, 16.8]])\n",
    "puntos_2V = np.array([[0, 17.0], [0, 9.5], [2, 16.5], [2, 9.7], [4, 13.8], [3, 15.6], [3, 10.8], [-3, 15.8], [-3, 10.5], [-2, 9.7]])\n",
    "puntos_3V = np.array([[0, 17.6], [0, 4.7], [2, 17.4], [2, 5.1], [4, 16.3], [4, 6.4], [6.7, 10.4], [-6.2, 14.3], [-3.3, 5.3], [-6.1, 14.4]])\n",
    "puntos_4V = np.array([[0, 18.8], [13.3, 10.3], [8.4, 15.6], [6.0, 16.9], [-4.7, 17.5], [-13.0, 11.5], [4.0, 17.7], [-4.1, 17.8], [-6.3, 17.0], [7.6, 16.1]])\n",
    "puntos_5V = np.array([[0, 19.1], [4, 19.0], [6, 18.7], [8, 18.5], [10, 18.4], [12, 18.2], [-4, 19.0], [-6, 18.9], [-8, 18.8], [-12, 19.5]])\n",
    "puntos_6V = np.array([[0, 19.9], [4, 20.2], [6, 20.5], [8, 20.8], [10, 21.4], [-3, 20.0], [-6, 20.4], [-8, 21.1], [-11, 21.9], [-12, 22.3], [-13, 22.5]])\n",
    "puntos_7V = np.array([[0, 20.6], [2, 20.9], [4, 21.8], [6, 22.6], [8, 23.9], [10, 25.2], [12, 26.0], [-17, 20.8], [-4, 21.6], [-6, 22.7]])\n",
    "puntos_8V = np.array([[-0.3, 37.6], [0, 21.2], [2, 21.8], [2, 37.9], [4, 33.0], [4, 23.2], [6, 27.6], [6, 34.2], [-5, 31.4], [-5, 24.9]])   # Quizas quitar [4, 33.0]\n",
    "puntos_9V = np.array([[0.1, 27.8], [0, 22.0], [2, 27.0], [2, 22.6], [3, 24.2], [2.8, 26.2], [-1, 27.6], [-1.5, 22.2], [-1.5, 27.3], [-2, 26.9]])\n",
    "\n",
    "# Resistencia medida, 16.7 kiloomhios\n",
    "\n",
    "resistencia = 16.7 * 10**3  # Ohmios"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "puntos_8V_seleccionado = np.array([[-0.3, 37.6], [0, 21.2], [2, 21.8], [2, 37.9], [4, 23.2], [6, 27.6], [6, 34.2], [-5, 31.4], [-5, 24.9]])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Análisis de Datos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Graficación datos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alternativos datos sin puntos de error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Datos por potencial en el que indicamos sus coordenadas cartesianas. Matriz tipo [[y, x]] por cada potencial\n",
    "# De primeras, las dos circunferencias que generan las lineas de campo (una cargada positivamente y otra a tierra), se encuentran a continuación. La información viene como coordenadas y radio así [[y, x, radio]] y todas las unidades son siempre en cm\n",
    "circunferencia_0V = np.array([[0, 14.25, 1.75]])\n",
    "circunferencia_10V = np.array([[0, 24.25, 1.75]])\n",
    "r = 1.75\n",
    "\n",
    "# Y ahora sí, las coordenadas de cientos puntos del espacio por potencial\n",
    "\n",
    "puntos_1V = np.array([[0, 11.4], [2, 12.3], [0, 16.5], [2, 15.5], [2.6, 14.2], [-2, 12.1], [-2, 12.8], [-2.6, 14.9], [-1, 11.5], [-1, 16.8]])\n",
    "puntos_2V = np.array([[0, 17.0], [0, 9.5], [2, 16.5], [2, 9.7], [4, 13.8], [3, 15.6], [3, 10.8], [-3, 15.8], [-3, 10.5], [-2, 9.7]])\n",
    "puntos_3V = np.array([[0, 17.6], [0, 4.7], [2, 17.4], [2, 5.1], [4, 16.3], [4, 6.4], [6.7, 10.4], [-6.2, 14.3], [-3.3, 5.3], [-6.1, 14.4]])\n",
    "puntos_4V = np.array([[0, 18.8], [13.3, 10.3], [8.4, 15.6], [6.0, 16.9], [-4.7, 17.5], [-13.0, 11.5], [4.0, 17.7], [-4.1, 17.8], [-6.3, 17.0], [7.6, 16.1]])\n",
    "puntos_5V = np.array([[0, 19.1], [4, 19.0], [6, 18.7], [8, 18.5], [10, 18.4], [12, 18.2], [-4, 19.0], [-6, 18.9], [-8, 18.8], [-12, 19.5]])\n",
    "puntos_6V = np.array([[0, 19.9], [4, 20.2], [6, 20.5], [8, 20.8], [10, 21.4], [-3, 20.0], [-6, 20.4], [-8, 21.1], [-11, 21.9], [-12, 22.3], [-13, 22.5]])\n",
    "puntos_7V = np.array([[0, 20.6], [2, 20.9], [4, 21.8], [6, 22.6], [8, 23.9], [10, 25.2], [-4, 21.6], [-6, 22.7], [-10, 27.8]])   # [-17, 20.8]\n",
    "puntos_8V = np.array([[-0.3, 37.6], [0, 21.2], [2, 21.8], [2, 37.9], [4, 23.2], [6, 27.6], [6, 34.2], [-5, 31.4], [-5, 24.9]])   # Quizas quitar [4, 33.0]\n",
    "puntos_9V = np.array([[0.1, 27.8], [0, 22.0], [2, 27.0], [2, 22.6], [3, 24.2], [2.8, 26.2], [-1, 27.6], [-1.5, 22.2], [-1.5, 27.3], [-2, 26.9]])\n",
    "\n",
    "# Resistencia medida, 16.7 kiloomhios\n",
    "\n",
    "resistencia = 16.7 * 10**3  # Ohmios"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Representacion puntos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# Se asume que las siguientes variables ya están cargadas:\n",
    "# circunferencia_0V, circunferencia_10V, puntos_1V, puntos_2V, puntos_3V, puntos_4V,\n",
    "# puntos_5V, puntos_6V, puntos_7V, puntos_8V, puntos_9V y resistencia.\n",
    "\n",
    "# Configurar la figura y el eje\n",
    "plt.figure(figsize=(10, 8))\n",
    "ax = plt.gca()\n",
    "\n",
    "# Dibujar los contornos de los electrodos:\n",
    "electrodo_0V = plt.Circle((circunferencia_0V[0, 1], circunferencia_0V[0, 0]),\n",
    "                           circunferencia_0V[0, 2], color='blue', fill=False, lw=2, label='Electrodo 0V')\n",
    "electrodo_10V = plt.Circle((circunferencia_10V[0, 1], circunferencia_10V[0, 0]),\n",
    "                            circunferencia_10V[0, 2], color='red', fill=False, lw=2, label='Electrodo 10V')\n",
    "ax.add_artist(electrodo_0V)\n",
    "ax.add_artist(electrodo_10V)\n",
    "\n",
    "# Graficar los puntos experimentales para cada potencial:\n",
    "plt.scatter(puntos_1V[:, 1], puntos_1V[:, 0], color='green', s=50, label='1V')\n",
    "plt.scatter(puntos_2V[:, 1], puntos_2V[:, 0], color='orange', s=50, label='2V')\n",
    "plt.scatter(puntos_3V[:, 1], puntos_3V[:, 0], color='purple', s=50, label='3V')\n",
    "plt.scatter(puntos_4V[:, 1], puntos_4V[:, 0], color='brown', s=50, label='4V')\n",
    "plt.scatter(puntos_5V[:, 1], puntos_5V[:, 0], color='cyan', s=50, label='5V')\n",
    "plt.scatter(puntos_6V[:, 1], puntos_6V[:, 0], color='magenta', s=50, label='6V')\n",
    "plt.scatter(puntos_7V[:, 1], puntos_7V[:, 0], color='yellow', s=50, label='7V')\n",
    "plt.scatter(puntos_8V[:, 1], puntos_8V[:, 0], color='black', s=50, label='8V')\n",
    "plt.scatter(puntos_9V[:, 1], puntos_9V[:, 0], color='grey', s=50, label='9V')\n",
    "\n",
    "# Configurar etiquetas, leyenda y formato\n",
    "plt.xlabel('x (cm)')\n",
    "plt.ylabel('y (cm)')\n",
    "plt.title('Equipotenciales experimentales')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.axis('equal')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(19.25, 5.0, 4.683748498798798, 14.5662515012012, 23.9337484987988)"
      ]
     },
     "execution_count": 194,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "# Datos de las circunferencias\n",
    "x_menos = circunferencia_0V[0, 1]  # Centro de la circunferencia de 0V\n",
    "x_mas = circunferencia_10V[0, 1]   # Centro de la circunferencia de 10V\n",
    "radio = circunferencia_0V[0, 2]    # Radio de los círculos conductores\n",
    "\n",
    "# 1. Calcular el eje de simetría\n",
    "T = (x_menos + x_mas) / 2\n",
    "\n",
    "# 2. Calcular la distancia de los centros al eje de simetría\n",
    "d = abs(x_menos - T)  # Igual para ambos círculos\n",
    "\n",
    "# 3. Calcular b usando d^2 = a^2 + b^2\n",
    "b = np.sqrt(d**2 - radio**2)\n",
    "\n",
    "# 4. Calcular las posiciones de las líneas cargadas\n",
    "x_lambda_menos = T - b\n",
    "x_lambda_mas = T + b\n",
    "\n",
    "# Mostrar resultados\n",
    "T, d, b, x_lambda_menos, x_lambda_mas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tenemos que\n",
    "\n",
    "Radio circulos: r=1.75 cm\n",
    "\n",
    "Eje de simetria: T=19.25 cm\n",
    "\n",
    "Distancia de los centros al eje de simetria: d= 5.0 cm\n",
    "\n",
    "Distancia de las lineas cargadas al eje de simetria: b=4.68 cm\n",
    "\n",
    "Posiciones de las lineas cargadas: $x_{\\lambda +}=23.93 \\space cm$, $x_{\\lambda -}=14.57 \\space cm$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "zeta_ratio: 5.5336\n",
      "R_2: 30666.10752087477 Ohmios\n"
     ]
    }
   ],
   "source": [
    "# Resistencia medida en Ohmios\n",
    "R = resistencia  \n",
    "\n",
    "# Cálculo del cociente de distancias equipotenciales\n",
    "zeta_ratio = (np.sqrt(d + b) + np.sqrt(d - b)) / (np.sqrt(d + b) - np.sqrt(d - b))\n",
    "\n",
    "#ZETA_RATIO ALTERNATIVO\n",
    "zeta_ratio = (np.sqrt(d + r) + np.sqrt(d - r)) / (np.sqrt(d + r) - np.sqrt(d - r))\n",
    "\n",
    "# Cálculo de la resistividad superficial R2\n",
    "R2 = (np.pi * R) / np.log(zeta_ratio)\n",
    "\n",
    "# Mostrar resultado\n",
    "print(f\"zeta_ratio: {zeta_ratio:.4f}\")\n",
    "print(f\"R_2: {R2} Ohmios\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Con esto buscamos al resistividad superficial gracias a que: $R_2=\\frac{\\pi·R}{ln(\\frac{\\zeta_-}{\\zeta_+})}$\n",
    "\n",
    "R es la resistencia medida y $\\frac{\\zeta_-}{\\zeta_+}=\\frac{\\sqrt{d+b}+\\sqrt{d-b}}{\\sqrt{d+b}-\\sqrt{d-b}}$\n",
    "\n",
    "y nos da que $R_2=30.67\\space k\\Omega \\pm 1\\% = 30.67\\space \\pm 0.31 k\\Omega$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lambda_carga: 1.6258545867654203e-10 C/m\n"
     ]
    }
   ],
   "source": [
    "# Constante de permitividad del vacío\n",
    "epsilon_0 = 8.854e-12  # F/m\n",
    "\n",
    "# Cálculo de la densidad de carga lineal\n",
    "lambda_carga = (np.pi * epsilon_0 / np.log(zeta_ratio)) * 10  # 10V de diferencia de potencial\n",
    "\n",
    "# Mostrar resultado\n",
    "print(f\"Lambda_carga: {lambda_carga} C/m\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hemos calculado la densidad de carga con $\\lambda=\\frac{\\pi· \\epsilon_0}{ln(\\frac{\\zeta_-}{\\zeta_+})}·\\Delta V \\approx (162.59·10 \\pm 6.27)^{-12}\\space C/m$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A continuación graficamos las ecuaciones equipotenciales con: $(x-b·coth(\\chi·\\phi))^2+y^2=(\\frac{b}{sinh(\\chi·\\phi)})^2$ donde $\\chi=\\frac{2·\\pi·\\epsilon_0}{\\lambda}$ y $\\phi$ son los potenciales por curva.\n",
    "\n",
    "Así, graficamos con las curva $x^2+(y-\\frac{k}{2})^2=b^2+\\frac{k^2}{4}$ donde k es un parametro que tomaresmos para varios valores.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Nuevo intento curvas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Todo curvas a 10 V"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Se asume que ya están definidas las siguientes variables:\n",
    "# circunferencia_0V, circunferencia_10V, puntos_1V, puntos_2V, puntos_3V, puntos_4V,\n",
    "# puntos_5V, puntos_6V, puntos_7V, puntos_8V, puntos_9V y resistencia\n",
    "\n",
    "# Parámetros geométricos a partir de los electrodos\n",
    "x_menos = circunferencia_0V[0, 1]      # Centro x del electrodo 0V\n",
    "x_mas   = circunferencia_10V[0, 1]       # Centro x del electrodo 10V\n",
    "radio   = circunferencia_0V[0, 2]        # Radio (los dos electrodos tienen el mismo radio)\n",
    "T = (x_menos + x_mas) / 2              # Centro del sistema (eje de simetría)\n",
    "d = abs(x_menos - T)                   # Distancia del centro de cada electrodo al eje\n",
    "b = np.sqrt(d**2 - radio**2)           # Parámetro geométrico\n",
    "\n",
    "# Calcular u₀ para que los electrodos sean superficies de constante u:\n",
    "# Se cumple que b/sinh(u₀) = radio  =>  u₀ = asinh(b/radio)\n",
    "u0 = np.arcsinh(b / radio)\n",
    "\n",
    "# Función que devuelve el potencial teórico en (x,y)\n",
    "def V_teorico(x, y):\n",
    "    # Trasladamos el sistema para centrarlo en T:\n",
    "    X = x - T\n",
    "    # Coordenada bipolar u:\n",
    "    u = 0.5 * np.log(((X + b)**2 + y**2) / ((X - b)**2 + y**2))\n",
    "    # Se impone V = 0 en u = -u₀ y V = 10 en u = u₀ de forma lineal:\n",
    "    V = (5 / u0) * (u + u0)\n",
    "    return V\n",
    "\n",
    "# Determinar límites de la región basados en los puntos experimentales\n",
    "all_points = np.vstack((puntos_1V, puntos_2V, puntos_3V, puntos_4V,\n",
    "                          puntos_5V, puntos_6V, puntos_7V, puntos_8V, puntos_9V))\n",
    "x_exp = all_points[:, 1]\n",
    "y_exp = all_points[:, 0]\n",
    "margen = 5  # margen en cm para visualizar un poco alrededor de los puntos\n",
    "x_min = x_exp.min() - margen\n",
    "x_max = x_exp.max() + margen\n",
    "y_min = y_exp.min() - margen\n",
    "y_max = y_exp.max() + margen\n",
    "\n",
    "# Crear una malla para calcular las curvas equipotenciales teóricas en la región de interés\n",
    "x_vals = np.linspace(x_min, x_max, 400)\n",
    "y_vals = np.linspace(y_min, y_max, 400)\n",
    "X, Y = np.meshgrid(x_vals, y_vals)\n",
    "V_grid = V_teorico(X, Y)\n",
    "\n",
    "# Configurar figura y eje\n",
    "plt.figure(figsize=(10, 8))\n",
    "ax = plt.gca()\n",
    "\n",
    "# Dibujar curvas equipotenciales teóricas (solamente en niveles naturales)\n",
    "niveles = np.arange(0, 11, 1)  # Niveles: 0, 1, 2, ... 10   (0, 10, 21) doble niveles?\n",
    "contornos = plt.contour(X, Y, V_grid, levels=niveles, colors='k', linestyles='dashed')\n",
    "plt.clabel(contornos, inline=True, fontsize=8, fmt=\"%.0f\")\n",
    "\n",
    "# Graficar puntos experimentales para cada potencial\n",
    "plt.scatter(puntos_1V[:, 1], puntos_1V[:, 0], color='green',   s=50, label='1V')\n",
    "plt.scatter(puntos_2V[:, 1], puntos_2V[:, 0], color='orange',  s=50, label='2V')\n",
    "plt.scatter(puntos_3V[:, 1], puntos_3V[:, 0], color='purple',  s=50, label='3V')\n",
    "plt.scatter(puntos_4V[:, 1], puntos_4V[:, 0], color='brown',   s=50, label='4V')\n",
    "plt.scatter(puntos_5V[:, 1], puntos_5V[:, 0], color='cyan',    s=50, label='5V')\n",
    "plt.scatter(puntos_6V[:, 1], puntos_6V[:, 0], color='magenta', s=50, label='6V')\n",
    "plt.scatter(puntos_7V[:, 1], puntos_7V[:, 0], color='yellow',  s=50, label='7V')\n",
    "plt.scatter(puntos_8V[:, 1], puntos_8V[:, 0], color='black',   s=50, label='8V')\n",
    "plt.scatter(puntos_9V[:, 1], puntos_9V[:, 0], color='grey',    s=50, label='9V')\n",
    "\n",
    "# Dibujar los electrodos (círculos)\n",
    "electrodo_0V = plt.Circle((circunferencia_0V[0, 1], circunferencia_0V[0, 0]),\n",
    "                           radio, color='blue', fill=False, lw=2, label='Electrodo 0V')\n",
    "electrodo_10V = plt.Circle((circunferencia_10V[0, 1], circunferencia_10V[0, 0]),\n",
    "                            radio, color='red', fill=False, lw=2, label='Electrodo 10V')\n",
    "ax.add_artist(electrodo_0V)\n",
    "ax.add_artist(electrodo_10V)\n",
    "\n",
    "# Ajustar los límites del gráfico para hacer \"zoom\" en la zona de los puntos\n",
    "plt.xlim(x_min, x_max)\n",
    "plt.ylim(y_min, y_max)\n",
    "\n",
    "plt.xlabel('x (cm)')\n",
    "plt.ylabel('y (cm)')\n",
    "plt.title('Curvas equipotenciales teóricas y puntos experimentales')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.axis('equal')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Todo curvas a 10.8 V (inputeadas)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "V_alto: 10.8 V\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Se asume que ya están definidas las siguientes variables:\n",
    "# circunferencia_0V, circunferencia_10V, puntos_1V, puntos_2V, puntos_3V, puntos_4V,\n",
    "# puntos_5V, puntos_6V, puntos_7V, puntos_8V, puntos_9V y resistencia\n",
    "\n",
    "# Define el potencial del electrodo \"alto\"\n",
    "#V_alto = float(input(\"V_alto: \"))  # Puedes cambiar este valor según lo que necesites\n",
    "V_alto = 10.8\n",
    "\n",
    "# Parámetros geométricos a partir de los electrodos\n",
    "x_menos = circunferencia_0V[0, 1]      # Centro x del electrodo 0V\n",
    "x_mas   = circunferencia_10V[0, 1]       # Centro x del electrodo \"alto\"\n",
    "radio   = circunferencia_0V[0, 2]        # Radio (se asume igual para ambos electrodos)\n",
    "T = (x_menos + x_mas) / 2              # Centro del sistema (eje de simetría)\n",
    "d = abs(x_menos - T)                   # Distancia del centro de cada electrodo al eje\n",
    "b = np.sqrt(d**2 - radio**2)           # Parámetro geométrico\n",
    "\n",
    "# Calcular u₀ usando la relación bipolar: b/sinh(u₀) = radio  =>  u₀ = asinh(b/radio)\n",
    "u0 = np.arcsinh(b / radio)\n",
    "\n",
    "# Función que devuelve el potencial teórico en (x,y)\n",
    "def V_teorico(x, y):\n",
    "    # Traslada el sistema para centrarlo en T:\n",
    "    X = x - T\n",
    "    # Coordenada bipolar u:\n",
    "    u = 0.5 * np.log(((X + b)**2 + y**2) / ((X - b)**2 + y**2))\n",
    "    # Relación lineal:\n",
    "    # Cuando u = -u₀  --> V = 0\n",
    "    # Cuando u =  u₀  --> V = V_alto\n",
    "    # Por lo que: V = (V_alto/(2*u₀))*(u + u₀)\n",
    "    V = (V_alto / (2 * u0)) * (u + u0)\n",
    "    return V\n",
    "\n",
    "# (Opcional) Calcular la densidad de carga lineal\n",
    "# Se tiene: lambda_carga = (π * epsilon_0 / ln(zeta_ratio)) * V_alto\n",
    "zeta_ratio = (np.sqrt(d + b) + np.sqrt(d - b)) / (np.sqrt(d + b) - np.sqrt(d - b))\n",
    "epsilon_0 = 8.854e-12  # Permitividad del vacío en F/m\n",
    "lambda_carga = (np.pi * epsilon_0 / np.log(zeta_ratio)) * V_alto\n",
    "\n",
    "# Determinar límites de la región basados en los puntos experimentales\n",
    "all_points = np.vstack((puntos_1V, puntos_2V, puntos_3V, puntos_4V,\n",
    "                          puntos_5V, puntos_6V, puntos_7V, puntos_8V, puntos_9V))\n",
    "x_exp = all_points[:, 1]\n",
    "y_exp = all_points[:, 0]\n",
    "margen = 5  # margen en cm para visualizar un poco alrededor de los puntos\n",
    "x_min = x_exp.min() - margen\n",
    "x_max = x_exp.max() + margen\n",
    "y_min = y_exp.min() - margen\n",
    "y_max = y_exp.max() + margen\n",
    "\n",
    "# Crear una malla para calcular las curvas equipotenciales teóricas en la región de interés\n",
    "x_vals = np.linspace(x_min, x_max, 400)\n",
    "y_vals = np.linspace(y_min, y_max, 400)\n",
    "X, Y = np.meshgrid(x_vals, y_vals)\n",
    "V_grid = V_teorico(X, Y)\n",
    "\n",
    "# Configurar figura y eje\n",
    "plt.figure(figsize=(10, 8))\n",
    "ax = plt.gca()\n",
    "\n",
    "# Dibujar las curvas equipotenciales teóricas solo en niveles naturales (0, 1, 2, ... hasta V_alto)\n",
    "niveles = np.arange(0, V_alto + 1, 1)\n",
    "contornos = plt.contour(X, Y, V_grid, levels=niveles, colors='k', linestyles='dashed')\n",
    "plt.clabel(contornos, inline=True, fontsize=8, fmt=\"%.0f\")\n",
    "\n",
    "# Graficar puntos experimentales para cada potencial\n",
    "plt.scatter(puntos_1V[:, 1], puntos_1V[:, 0], color='green',   s=50, label='1V')\n",
    "plt.scatter(puntos_2V[:, 1], puntos_2V[:, 0], color='orange',  s=50, label='2V')\n",
    "plt.scatter(puntos_3V[:, 1], puntos_3V[:, 0], color='purple',  s=50, label='3V')\n",
    "plt.scatter(puntos_4V[:, 1], puntos_4V[:, 0], color='brown',   s=50, label='4V')\n",
    "plt.scatter(puntos_5V[:, 1], puntos_5V[:, 0], color='cyan',    s=50, label='5V')\n",
    "plt.scatter(puntos_6V[:, 1], puntos_6V[:, 0], color='magenta', s=50, label='6V')\n",
    "plt.scatter(puntos_7V[:, 1], puntos_7V[:, 0], color='yellow',  s=50, label='7V')\n",
    "plt.scatter(puntos_8V[:, 1], puntos_8V[:, 0], color='black',   s=50, label='8V')\n",
    "plt.scatter(puntos_9V[:, 1], puntos_9V[:, 0], color='grey',    s=50, label='9V')\n",
    "\n",
    "# Dibujar los electrodos (círculos)\n",
    "electrodo_0V = plt.Circle((circunferencia_0V[0, 1], circunferencia_0V[0, 0]),\n",
    "                           radio, color='blue', fill=False, lw=2, label='Electrodo 0V')\n",
    "electrodo_alto = plt.Circle((circunferencia_10V[0, 1], circunferencia_10V[0, 0]),\n",
    "                            radio, color='red', fill=False, lw=2, label=f'Electrodo {V_alto}V')\n",
    "ax.add_artist(electrodo_0V)\n",
    "ax.add_artist(electrodo_alto)\n",
    "\n",
    "\n",
    "print(f\"V_alto: {V_alto} V\")\n",
    "# Ajustar los límites del gráfico para centrar la vista en los puntos experimentales\n",
    "plt.xlim(x_min, x_max)\n",
    "plt.ylim(y_min, y_max)\n",
    "\n",
    "plt.xlabel('x (cm)')\n",
    "plt.ylabel('y (cm)')\n",
    "plt.title('Curvas equipotenciales teóricas y puntos experimentales')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.axis('equal')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Mezcla equipotenciales a la izquierda 9.8 V y a la derecha 10.8 V"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Se asume que ya están definidas las siguientes variables:\n",
    "# circunferencia_0V, circunferencia_10V, puntos_1V, puntos_2V, puntos_3V, puntos_4V,\n",
    "# puntos_5V, puntos_6V, puntos_7V, puntos_8V, puntos_9V y resistencia\n",
    "\n",
    "# Parámetros geométricos a partir de los electrodos\n",
    "x_menos = circunferencia_0V[0, 1]      # Centro x del electrodo 0V\n",
    "x_mas   = circunferencia_10V[0, 1]       # Centro x del electrodo \"alto\"\n",
    "radio   = circunferencia_0V[0, 2]        # Radio (se asume igual para ambos)\n",
    "T = (x_menos + x_mas) / 2              # Centro del sistema (eje de simetría)\n",
    "d = abs(x_menos - T)                   # Distancia del centro de cada electrodo al eje\n",
    "b = np.sqrt(d**2 - radio**2)           # Parámetro geométrico\n",
    "\n",
    "# Calcular u₀ usando la relación bipolar: b/sinh(u₀) = radio  =>  u₀ = asinh(b/radio)\n",
    "u0 = np.arcsinh(b / radio)\n",
    "\n",
    "# Función que devuelve el potencial teórico en (x,y) con potencial máximo variable\n",
    "def V_teorico(x, y):\n",
    "    # Traslada el sistema para centrarlo en T\n",
    "    X = x - T\n",
    "    # Coordenada bipolar u:\n",
    "    u = 0.5 * np.log(((X + b)**2 + y**2) / ((X - b)**2 + y**2))\n",
    "    \n",
    "    # Definir un potencial máximo efectivo que varíe con x:\n",
    "    # Para x muy a la izquierda (x << T) se usará ~9.8V, y para x muy a la derecha (x >> T) ~10.7V.\n",
    "    # Usamos una función suave de transición basada en tanh:\n",
    "    k = 15.0  # parámetro que determina la rapidez de la transición (ajústalo según convenga)               #PARAMETRO K\n",
    "    # weight varía entre 0 (x << T) y 1 (x >> T)\n",
    "    weight = 0.5 * (1 + np.tanh(k * (x - T)))\n",
    "    # Potencial máximo efectivo en cada posición:\n",
    "    V_max_eff = (1 - weight) * 9.8 + weight * 10.8                                                      #POTENCIALES MAXIMOS POR LADO\n",
    "    \n",
    "    # La transformación bipolar ideal asocia u = -u0 a 0V y u = u0 a V_max_eff.\n",
    "    V = (V_max_eff / (2 * u0)) * (u + u0)\n",
    "    return V\n",
    "\n",
    "# Determinar límites de la región basados en los puntos experimentales\n",
    "all_points = np.vstack((puntos_1V, puntos_2V, puntos_3V, puntos_4V,\n",
    "                          puntos_5V, puntos_6V, puntos_7V, puntos_8V, puntos_9V))\n",
    "x_exp = all_points[:, 1]\n",
    "y_exp = all_points[:, 0]\n",
    "margen = 5  # margen en cm para visualizar alrededor de los puntos\n",
    "x_min = x_exp.min() - margen\n",
    "x_max = x_exp.max() + margen\n",
    "y_min = y_exp.min() - margen\n",
    "y_max = y_exp.max() + margen\n",
    "\n",
    "# Crear una malla para calcular las curvas equipotenciales en la región de interés\n",
    "x_vals = np.linspace(x_min, x_max, 400)\n",
    "y_vals = np.linspace(y_min, y_max, 400)\n",
    "X, Y = np.meshgrid(x_vals, y_vals)\n",
    "V_grid = V_teorico(X, Y)\n",
    "\n",
    "# Configurar figura y eje\n",
    "plt.figure(figsize=(10, 8))\n",
    "ax = plt.gca()\n",
    "\n",
    "# Para los contornos, podemos elegir niveles naturales (por ejemplo, enteros)\n",
    "niveles = np.arange(0, 12, 1)  # se cubre un rango algo mayor para ver la variación\n",
    "contornos = plt.contour(X, Y, V_grid, levels=niveles, colors='k', linestyles='dashed')\n",
    "plt.clabel(contornos, inline=True, fontsize=8, fmt=\"%.0f\")\n",
    "\n",
    "# Graficar los puntos experimentales para cada potencial\n",
    "plt.scatter(puntos_1V[:, 1], puntos_1V[:, 0], color='green',   s=50, label='1V')\n",
    "plt.scatter(puntos_2V[:, 1], puntos_2V[:, 0], color='orange',  s=50, label='2V')\n",
    "plt.scatter(puntos_3V[:, 1], puntos_3V[:, 0], color='purple',  s=50, label='3V')\n",
    "plt.scatter(puntos_4V[:, 1], puntos_4V[:, 0], color='brown',   s=50, label='4V')\n",
    "plt.scatter(puntos_5V[:, 1], puntos_5V[:, 0], color='cyan',    s=50, label='5V')\n",
    "plt.scatter(puntos_6V[:, 1], puntos_6V[:, 0], color='magenta', s=50, label='6V')\n",
    "plt.scatter(puntos_7V[:, 1], puntos_7V[:, 0], color='yellow',  s=50, label='7V')\n",
    "plt.scatter(puntos_8V[:, 1], puntos_8V[:, 0], color='black',   s=50, label='8V')\n",
    "plt.scatter(puntos_9V[:, 1], puntos_9V[:, 0], color='grey',    s=50, label='9V')\n",
    "\n",
    "# Dibujar los electrodos (círculos)\n",
    "electrodo_0V = plt.Circle((circunferencia_0V[0, 1], circunferencia_0V[0, 0]),\n",
    "                           radio, color='blue', fill=False, lw=2, label='Electrodo 0V')\n",
    "electrodo_alto = plt.Circle((circunferencia_10V[0, 1], circunferencia_10V[0, 0]),\n",
    "                            radio, color='red', fill=False, lw=2, label='Electrodo \"Alto\"')\n",
    "ax.add_artist(electrodo_0V)\n",
    "ax.add_artist(electrodo_alto)\n",
    "\n",
    "# Ajustar los límites del gráfico para centrar la vista en los puntos experimentales\n",
    "plt.xlim(x_min, x_max)\n",
    "plt.ylim(y_min, y_max)\n",
    "\n",
    "plt.xlabel('x (cm)')\n",
    "plt.ylabel('y (cm)')\n",
    "plt.title('Curvas equipotenciales teóricas con corrección asimétrica y puntos experimentales')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.axis('equal')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Campo Electrico y todo lo representado"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Se asume que ya están definidas las siguientes variables:\n",
    "# circunferencia_0V, circunferencia_10V, puntos_1V, puntos_2V, puntos_3V, puntos_4V,\n",
    "# puntos_5V, puntos_6V, puntos_7V, puntos_8V, puntos_9V y resistencia\n",
    "\n",
    "# Parámetros geométricos a partir de los electrodos\n",
    "x_menos = circunferencia_0V[0, 1]      # Centro x del electrodo 0V\n",
    "x_mas   = circunferencia_10V[0, 1]       # Centro x del electrodo \"alto\"\n",
    "radio   = circunferencia_0V[0, 2]        # Radio (se asume igual para ambos)\n",
    "T = (x_menos + x_mas) / 2              # Centro del sistema (eje de simetría)\n",
    "d = abs(x_menos - T)                   # Distancia del centro de cada electrodo al eje\n",
    "b = np.sqrt(d**2 - radio**2)           # Parámetro geométrico\n",
    "\n",
    "# Calcular u₀ usando la relación bipolar: b/sinh(u₀) = radio  =>  u₀ = asinh(b/radio)\n",
    "u0 = np.arcsinh(b / radio)\n",
    "\n",
    "# Función que devuelve el potencial teórico en (x,y) con potencial máximo variable\n",
    "def V_teorico(x, y):\n",
    "    # Traslada el sistema para centrarlo en T:\n",
    "    X = x - T\n",
    "    # Coordenada bipolar u:\n",
    "    u = 0.5 * np.log(((X + b)**2 + y**2) / ((X - b)**2 + y**2))\n",
    "    \n",
    "    # Definir un potencial máximo efectivo que varíe con x:\n",
    "    # Para x muy a la izquierda (x << T) se usará ~9.8V, y para x muy a la derecha (x >> T) ~10.7V.\n",
    "    # Usamos una interpolación suave (función tanh) para la transición.\n",
    "    k = 5.0  # parámetro que controla la rapidez de la transición\n",
    "    weight = 0.5 * (1 + np.tanh(k * (x - T)))  # varía de 0 a 1\n",
    "    V_max_eff = (1 - weight) * 9.8 + weight * 10.8\n",
    "    \n",
    "    # Relación lineal: se impone V = 0 cuando u = -u₀ y V = V_max_eff cuando u = u₀\n",
    "    V = (V_max_eff / (2 * u0)) * (u + u0)\n",
    "    return V\n",
    "\n",
    "# Determinar límites de la región basados en los puntos experimentales\n",
    "all_points = np.vstack((puntos_1V, puntos_2V, puntos_3V, puntos_4V,\n",
    "                          puntos_5V, puntos_6V, puntos_7V, puntos_8V, puntos_9V))\n",
    "x_exp = all_points[:, 1]\n",
    "y_exp = all_points[:, 0]\n",
    "margen = 5  # margen en cm para visualizar alrededor de los puntos\n",
    "x_min = x_exp.min() - margen\n",
    "x_max = x_exp.max() + margen\n",
    "y_min = y_exp.min() - margen\n",
    "y_max = y_exp.max() + margen\n",
    "\n",
    "# Crear una malla para calcular el potencial en la región de interés\n",
    "x_vals = np.linspace(x_min, x_max, 400)\n",
    "y_vals = np.linspace(y_min, y_max, 400)\n",
    "X, Y = np.meshgrid(x_vals, y_vals)\n",
    "V_grid = V_teorico(X, Y)\n",
    "\n",
    "# Calcular el campo eléctrico (gradiente negativo del potencial)\n",
    "# np.gradient devuelve [dV/dy, dV/dx] ya que la primera dimensión es y\n",
    "dy_grid, dx_grid = np.gradient(V_grid, y_vals, x_vals)\n",
    "Ex = -dx_grid  # componente x del campo eléctrico\n",
    "Ey = -dy_grid  # componente y del campo eléctrico\n",
    "\n",
    "# Configurar figura y eje\n",
    "plt.figure(figsize=(10, 8))\n",
    "ax = plt.gca()\n",
    "\n",
    "# Dibujar las curvas equipotenciales teóricas (niveles naturales)\n",
    "niveles = np.arange(0, 12, 1)  # se cubre un rango algo mayor para apreciar la variación\n",
    "contornos = plt.contour(X, Y, V_grid, levels=niveles, colors='k', linestyles='dashed')\n",
    "plt.clabel(contornos, inline=True, fontsize=8, fmt=\"%.0f\")\n",
    "\n",
    "# Dibujar las líneas de campo usando streamplot con líneas cortadas (dashed)\n",
    "strm = plt.streamplot(x_vals, y_vals, Ex, Ey, density=1.5, color='b', linewidth=1)\n",
    "strm.lines.set_linestyle('dashed')\n",
    "\n",
    "# Graficar los puntos experimentales para cada potencial\n",
    "plt.scatter(puntos_1V[:, 1], puntos_1V[:, 0], color='green',   s=50, label='1V')\n",
    "plt.scatter(puntos_2V[:, 1], puntos_2V[:, 0], color='orange',  s=50, label='2V')\n",
    "plt.scatter(puntos_3V[:, 1], puntos_3V[:, 0], color='purple',  s=50, label='3V')\n",
    "plt.scatter(puntos_4V[:, 1], puntos_4V[:, 0], color='brown',   s=50, label='4V')\n",
    "plt.scatter(puntos_5V[:, 1], puntos_5V[:, 0], color='cyan',    s=50, label='5V')\n",
    "plt.scatter(puntos_6V[:, 1], puntos_6V[:, 0], color='magenta', s=50, label='6V')\n",
    "plt.scatter(puntos_7V[:, 1], puntos_7V[:, 0], color='yellow',  s=50, label='7V')\n",
    "plt.scatter(puntos_8V[:, 1], puntos_8V[:, 0], color='black',   s=50, label='8V')\n",
    "plt.scatter(puntos_9V[:, 1], puntos_9V[:, 0], color='grey',    s=50, label='9V')\n",
    "\n",
    "# Dibujar los electrodos (círculos)\n",
    "electrodo_0V = plt.Circle((circunferencia_0V[0, 1], circunferencia_0V[0, 0]),\n",
    "                           radio, color='blue', fill=False, lw=2, label='Electrodo 0V')\n",
    "electrodo_alto = plt.Circle((circunferencia_10V[0, 1], circunferencia_10V[0, 0]),\n",
    "                            radio, color='red', fill=False, lw=2, label='Electrodo \"Alto\"')\n",
    "ax.add_artist(electrodo_0V)\n",
    "ax.add_artist(electrodo_alto)\n",
    "\n",
    "# Ajustar los límites del gráfico para centrar la vista en los puntos experimentales\n",
    "plt.xlim(x_min, x_max)\n",
    "plt.ylim(y_min, y_max)\n",
    "\n",
    "plt.xlabel('x (cm)')\n",
    "plt.ylabel('y (cm)')\n",
    "plt.title('Curvas equipotenciales, líneas de campo eléctrico y puntos experimentales')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.axis('equal')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Campo electrico y equipotenciales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Se asume que ya están definidas las siguientes variables de los electrodos:\n",
    "# circunferencia_0V y circunferencia_10V\n",
    "\n",
    "# Parámetros geométricos a partir de los electrodos\n",
    "x_menos = circunferencia_0V[0, 1]  # Centro x del electrodo 0V\n",
    "x_mas   = circunferencia_10V[0, 1] # Centro x del electrodo \"alto\"\n",
    "radio   = circunferencia_0V[0, 2]  # Radio (se asume igual para ambos electrodos)\n",
    "T = (x_menos + x_mas) / 2          # Centro del sistema (eje de simetría)\n",
    "d = abs(x_menos - T)               # Distancia del centro de cada electrodo al eje\n",
    "b = np.sqrt(d**2 - radio**2)       # Parámetro geométrico\n",
    "\n",
    "# Calcular u₀ a partir de la relación bipolar: b/sinh(u₀) = radio  =>  u₀ = asinh(b/radio)\n",
    "u0 = np.arcsinh(b / radio)\n",
    "\n",
    "# Función del potencial teórico con asimetría en el potencial máximo:\n",
    "def V_teorico(x, y):\n",
    "    X = x - T  # Traslación para centrar el sistema en T\n",
    "    u = 0.5 * np.log(((X + b)**2 + y**2) / ((X - b)**2 + y**2))\n",
    "    # Potencial máximo efectivo variable: 9.8V a la izquierda y 10.7V a la derecha\n",
    "    k = 5.0\n",
    "    weight = 0.5 * (1 + np.tanh(k * (x - T)))  # varía de 0 (izquierda) a 1 (derecha)\n",
    "    V_max_eff = (1 - weight) * 9.0 + weight * 10.0\n",
    "    return (V_max_eff / (2 * u0)) * (u + u0)\n",
    "\n",
    "# Definir la región de interés\n",
    "x_min, x_max = T - 15, T + 15\n",
    "y_min, y_max = -15, 15\n",
    "\n",
    "# Crear la malla de puntos\n",
    "x_vals = np.linspace(x_min, x_max, 400)\n",
    "y_vals = np.linspace(y_min, y_max, 400)\n",
    "X, Y = np.meshgrid(x_vals, y_vals)\n",
    "V_grid = V_teorico(X, Y)\n",
    "\n",
    "# Calcular el campo eléctrico: E = -grad(V)\n",
    "dy_grid, dx_grid = np.gradient(V_grid, y_vals, x_vals)\n",
    "Ex, Ey = -dx_grid, -dy_grid  # Componentes del campo eléctrico\n",
    "\n",
    "# Crear la figura\n",
    "fig, ax = plt.subplots(figsize=(10, 8))\n",
    "\n",
    "# Dibujar curvas equipotenciales con líneas punteadas\n",
    "niveles = np.arange(0, 12, 1)  # De 0 a 11V\n",
    "contornos = plt.contour(X, Y, V_grid, levels=niveles, colors='k', linestyles='dashed')\n",
    "plt.clabel(contornos, inline=True, fontsize=8, fmt=\"%.1f\")\n",
    "\n",
    "# Dibujar líneas de campo eléctrico sin modificar el estilo (evita error)\n",
    "plt.streamplot(X, Y, Ex, Ey, color='b', linewidth=0.8, density=1.5)\n",
    "\n",
    "# Superponer una visualización punteada del campo con quiver\n",
    "plt.quiver(X[::15, ::15], Y[::15, ::15], Ex[::15, ::15], Ey[::15, ::15], \n",
    "           color='b', scale=50, width=0.002, alpha=0.6)\n",
    "\n",
    "# Configurar etiquetas y formato\n",
    "plt.xlabel('x (cm)')\n",
    "plt.ylabel('y (cm)')\n",
    "plt.title('Curvas equipotenciales y líneas de campo')\n",
    "plt.grid(True)\n",
    "plt.axis('equal')\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fourier"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Datos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Datos tomados en libreta en la práctica de fourier."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 389,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Circuito RLC valores de cada:\n",
    "L = 47e-3  # Inductancia en Henrios\n",
    "R = 1188 # Resistencia en Ohmios\n",
    "C_1 = 330e-9  # Capacitancia en Faradios (0.33 microF)\n",
    "C_2 = 22e-9  # Capacitancia en Faradios (21 nF)\n",
    "R_L = 22.3\n",
    "R_m = 10**6\n",
    "R_variable = 1632 # podemos probar también con 1740\n",
    "    # Introducimos incertidumbres\n",
    "s_R_L = 0.1* R_L\n",
    "s_L = 0.1 * L\n",
    "s_R = 1\n",
    "s_R_variable = s_R\n",
    "s_C_1 = 0.05 * C_1\n",
    "s_C_2 = 0.05 * C_2\n",
    "s_f_exp = 20/np.sqrt(12)\n",
    "s_T = 1e-6/np.sqrt(12)    # Microsegundos\n",
    "\n",
    "# Frecuencia de resonancia y de corte\n",
    "f_0_teo = 1 / (2 * np.pi * np.sqrt(L * C_eq))    # teorica\n",
    "f_0_exp = 4916.8  # experimental\n",
    "f_corte_sup = 5021.5\n",
    "f_corte_inf = 4859.1\n",
    "R_T = R + R_variable\n",
    "s_R_T = 1\n",
    "\n",
    "# Primer set de datos:\n",
    "    # tenemos f_R|V_entrada|V_salida\n",
    "set_primero = np.array([[4932.5, 7.04, 7.20], [4916.8, 9.92, 9.68], [4904.1, 13.12, 12.56], [4887.5, 17.28, 16.16], [4872.8, 20.40, 20.16], [4918.8, 9.68, 9.68]])    # Siendo el ultimo f_0\n",
    "\n",
    "# Para estos siguientes sets, tenemos en cuenta que f_i=f_0/n donde n es el numero de armonico, usaremos los armónicos 1, 3 y 5\n",
    "\n",
    "# Set de datos onda cuadrada (n|f|V_1|V_2)\n",
    "set_cuadrada = np.array([[1, 4916.8, 10.08, 12.08], [3, 1634.1, 10.00, 4.00], [5, 954.0, 10.00, 1.50]])\n",
    "# Set de datos onda triangular (n|f|V_1|V_2)\n",
    "set_triangular = np.array([[1, 4928.6, 10.00, 8.32], [3, 1661.4, 10.00, 1.17], [5, 997.1, 9.84, 484e-3]])   # el último último son 484.0 mV\n",
    "# Set de datos con rectificador (n|f|V|2*a)\n",
    "set_rectificador = np.array([[1, 4964.8, 3.30, 91.00e-6], [2, 2488.3, 2.13, 179.00e-6], [3, 1664.4, 820e-3, 266.00e-6], [4, 1247.6, 133e-3, 358.00e-6], [5, 997.1, 64e-3, 438.0e-6]])\n",
    "V_salida = 2.00  # Voltaje de entrada para pulso, constante en todos los valores del set."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Análisis de Datos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Condensador equivalente y frecuencias de resonancia"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cálculo condensador equivalente para condensadores en serie y comparación de frecuencia de resonancia teórica con la experimental."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 390,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Capacitancia equivalente (C_eq): 2.0624999999999998e-08 +- 9.68942930637316e-10\n",
      "Frecuencia de resonancia teórica (f0_teo): 5112.0 +- 282.000000000000\n",
      "Frecuencia de resonancia experimental (f0_exp): 4916.8\n"
     ]
    }
   ],
   "source": [
    "# Como es en serie, el condensador equivalente es:\n",
    "C_eq = 1 / (1 / C_1 + 1 / C_2)  # Capacitancia equivalente\n",
    "# Su incertidumbre:\n",
    "s_C_eq = sqrt(s_C_1**2 * ((C_2**2)/(C_1+C_2)**2)**2 + s_C_2**2 * ((C_1**2)/(C_1+C_2)**2)**2)\n",
    "print(\"Capacitancia equivalente (C_eq):\", C_eq, \"+-\", s_C_eq)\n",
    "\n",
    "# Calcular la frecuencia de resonancia teórica:\n",
    "f0_teo = 1 / (2 * np.pi * np.sqrt(L * C_eq))\n",
    "s_f0_teo = sqrt(s_L**2 * ((C_eq)/(4*np.pi*(C_eq*L)**(3/2)))**2 + s_C_eq**2 * ((L)/(4*np.pi*(C_eq*L)**(3/2)))**2)\n",
    "print(\"Frecuencia de resonancia teórica (f0_teo):\", round(f0_teo,0), \"+-\", round(s_f0_teo,0))\n",
    "\n",
    "# Comparación con la experimental:\n",
    "print(\"Frecuencia de resonancia experimental (f0_exp):\", f_0_exp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Medidas cerca de la resonancia según frecuencia y ganancia. Quizás alterar la frecuencia de corte a una mayor o probar..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 391,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Frecuencias (Hz): [4932.5 4916.8 4904.1 4887.5 4872.8 4918.8]\n",
      "V_entrada (V): [ 7.04  9.92 13.12 17.28 20.4   9.68]\n",
      "V_salida (V): [ 7.2   9.68 12.56 16.16 20.16  9.68]\n",
      "Ganancia (V_salida/V_entrada): [1.02272727 0.97580645 0.95731707 0.93518519 0.98823529 1.        ]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Extraer las columnas del array set_primero:\n",
    "frecuencias = set_primero[:, 0]\n",
    "V_entrada = set_primero[:, 1]\n",
    "V_salida = set_primero[:, 2]\n",
    "\n",
    "# Calcular la ganancia:\n",
    "ganancia = V_salida / V_entrada\n",
    "\n",
    "# Imprimir resultados:\n",
    "print(\"Frecuencias (Hz):\", frecuencias)\n",
    "print(\"V_entrada (V):\", V_entrada)\n",
    "print(\"V_salida (V):\", V_salida)\n",
    "print(\"Ganancia (V_salida/V_entrada):\", ganancia)\n",
    "# Graficar Ganancia vs. Frecuencia:\n",
    "plt.figure(figsize=(8, 5))\n",
    "plt.plot(frecuencias, ganancia, 'o', label='Ganancia experimental')\n",
    "plt.xlabel(\"Frecuencia (Hz)\")\n",
    "plt.ylabel(\"Ganancia (V_salida/V_entrada)\")\n",
    "plt.title(\"Curva de resonancia: Ganancia vs. Frecuencia\")\n",
    "plt.axvline(f_0_exp, color='r', linestyle='--', label=f\"f0_exp = {f_0_exp} Hz\")\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ancho de banda y factor de Calidad"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ancho de banda y Factor de calidad (IMPORTANTE FCORTE SUP E INF INVENTADOS ANOTAR COMO DATOS) $$B=f_{sup}-f_{inf} \\rightarrow Q=\\frac{f_0}{B}$$ Y para el teórico es:$$\\frac{1}{Q}=\\frac{1}{Q_0}+\\frac{1}{Q_m}+\\frac{1}{Q_L}$$ tal que $$Q_0=w_0·R·C_2·\\frac{C_1+C_2}{C_1};\\quad Q_m=\\frac{R_m}{w_0·L};\\quad Q_L=\\frac{w_0·L}{R_L}$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 392,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ancho de banda (B): 163.0 +- 8.0 Hz\n",
      "Factor de calidad experimental (Q_exp): 30.2 +- 1.5\n",
      "Factor de calidad teórico (Q_teo): 0.8\n",
      "Factor de calidad teorico (Q_teo_2): 31.4 +- 2.3\n"
     ]
    },
    {
     "data": {
      "image/png": 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ZM2eKU1WVhrZ18SYV547xgvgnTZqk1otWwNvbu8h9fPjhh5g4cSJ27NiBadOm4YcffkBAQIBa4l9chbX70sT6suK2++LUcWFtX3jlhr3i+uGHHzB48GD06NEDkydPhqOjI0xNTbFgwQKVGwZLS6lUokOHDpgyZYrG9bVr137tPjS1Q2336+joiKtXr+Lo0aM4cuQIjhw5gi1btmDgwIHYtm1bMc7k/7yuThQKBTp06IDU1FRMnToVdevWhbW1NRISEjB48GC13vfy8PtGFROTWTIKXl5eAF70hAYFBRVazsHBAba2trh+/XqR+yvooUhLS1OZJunVHr+C4zo6OhZ53OLw8vLC0aNH1W4gep19+/ahbdu22LRpk8rytLQ0tZt7rK2t0bdvX/Tt2xd5eXno2bMnvvrqK4SHh8PCwkLj/t3d3XH9+nUIgqCS9Ny+fVstfuD1dVEYLy8vnDt3DnK5HFKptNBYjh8/joyMDJXe2Vu3bonrX6ewxK1mzZoAAKlUWuI6rVq1KkJCQrBjxw70798ff/zxh1Y3CBVXcWL18vIqVrt/WWHtvqR1XFh8SqUSN2/efO1NWy/bt28fatasiZ9++kmlTjX9GftVBe3kzp074ncJAI8fP1brhfTy8sLz5891dr4l2a+5uTm6deuGbt26QalUYvTo0Vi3bh1mzJgBb29vuLu7q12PQPGui5ddu3YN//77L7Zt24aBAweKy4sa6vA6b+L3jSoejpklo+Dv7w8vLy8sXrwYz58/V1v/+PFjABAfD/rLL7+oTANToKBHouAf65fHwWVmZqr1gAQHB8PW1hbz589X+fPmq8ctjl69ekEQBI29pEX1Ypmamqqt37t3r9r4zidPnqh8Njc3R/369SEIgsZzKNClSxc8fPgQ+/btE5dlZWVh/fr1KuW0rYvC9OrVCykpKVi1apXauoLz69KlCxQKhVqZZcuWQSKRoHPnzkUeA3gx3hdQT9wcHR3Rpk0brFu3DomJicWOv8CAAQNw8+ZNTJ48Gaampvjwww+12q44ihNrr1698Ndff+Hnn39WK1dUu1coFDqvY0169OgBExMTzJ07V62n7XXt/tUy586dQ3R09GuPGRQUBKlUipUrV6psr+k/Hn369EF0dDSOHj2qti4tLQ35+fmvPZ4m2u731evWxMREnH2jYHq8Ll264Pz58yrnnpmZifXr18PDw6PYQzg0fbeCIKhNB1YcZf37RhUTe2bJKJiYmGDjxo3o3LkzGjRogCFDhqB69epISEjAqVOnYGtri19++QXAiz9XHTt2DK1bt8bIkSNRr149JCYmYu/evThz5gzs7OzQsWNH1KhRA8OGDROTkc2bN8PBwQHx8fHicW1tbbFmzRoMGDAAfn5++PDDD8Uyhw4dQsuWLTUmZUVp27YtBgwYgG+//RZ37txBp06doFQqcfr0abRt2xZjxozRuF3Xrl0xd+5cDBkyBC1atMC1a9ewY8cOlR4nAOjYsSOcnZ3RsmVLODk54Z9//sGqVasQEhKiNgb1ZSNGjMCqVaswcOBAXLp0CS4uLti+fbuYFJakLjQZOHAgvv/+e4SFheH8+fNo1aoVMjMzcfz4cYwePRrvvfceunXrhrZt2+KLL77AvXv30LhxYxw7dgz/+9//MGHCBDEpK4qlpSXq16+P3bt3o3bt2qhatSoaNmyIhg0bYvXq1XjnnXfg4+ODESNGoGbNmkhOTkZ0dDT+++8/rea2DAkJQbVq1bB371507twZjo6Or92mJLSNdfLkydi3bx8++OADDB06FP7+/khNTcXBgwexdu1aNG7cGA0aNECzZs0QHh4u9pzt2rVLLVErbR1r4u3tjS+++ALz5s1Dq1at0LNnT8hkMly4cAGurq7iVGWv6tq1K3766Se8//77CAkJQVxcHNauXYv69etrTLRfVjAP6oIFC9C1a1d06dIFV65cwZEjR9R6+yZPnoyDBw+ia9euGDx4MPz9/ZGZmYlr165h3759uHfvXol6CLXd7/Dhw5Gamop27drhrbfewv3797Fy5Uo0adJEHBP7+eef48cff0Tnzp0xbtw4VK1aFdu2bUNcXBz2799f7AfL1K1bF15eXpg0aRISEhJga2uL/fv3q/VaF0dZ/75RBfUmp04gKq2CqYE0TZslCP83pczevXs1rr9y5YrQs2dPoVq1aoJMJhPc3d2FPn36CCdOnFApd//+fWHgwIGCg4ODIJPJhJo1awqffvqpyjQ1ly5dEpo2bSqYm5sLNWrUEJYuXVrk1EXBwcFC5cqVBQsLC8HLy0sYPHiwcPHiRbHMoEGDBGtra7WYNU0Dlp+fLyxatEioW7euYG5uLjg4OAidO3cWLl26JJbRNHXNZ599Jri4uAiWlpZCy5YthejoaLWpjNatWye8++674nfk5eUlTJ48WXj27JnG7/TV76179+6ClZWVYG9vL4wfP16IiIhQmbapgLZ1oUlWVpbwxRdfCJ6enoJUKhWcnZ2F3r17C7GxsWKZjIwMYeLEiYKrq6sglUqFWrVqCYsWLVKb+gqA8Omnn2o8ztmzZwV/f3/B3NxcbZqu2NhYYeDAgYKzs7MglUqF6tWrC127dhX27dv32vgLjB49WgAg7Ny5U+ttipqaa9GiRRq30TbWJ0+eCGPGjBGqV68umJubC2+99ZYwaNAgISUlRWVfQUFBgkwmE5ycnIRp06YJkZGRJa7jgvb9+PFjlW0Lu5Y2b94s+Pr6CjKZTKhSpYrQunVrITIyUuX7ebk9K5VKYf78+YK7u7sgk8kEX19f4ddffxUGDRokuLu7F/Y1ixQKhTBnzhzxumnTpo1w/fp1tetLEF60ufDwcMHb21swNzcX7O3thRYtWgiLFy8W8vLyijyOu7u7EBISonGdNvvdt2+f0LFjR8HR0VH8Tfr444+FxMRElX3FxsYKvXv3Fuzs7AQLCwshMDBQ+PXXX1XKFPY7WtDOtmzZIi67efOmEBQUJNjY2Aj29vbCiBEjhL/++kutXHn5faOKSSIIpRxdT0REJTJx4kRs2rQJSUlJaj3YRESkHY6ZJSLSg5ycHPzwww/o1asXE1kiolLgmFkiojfo0aNHOH78OPbt24cnT56IjxolIqKSYTJLRPQG3bx5E/3794ejoyO+/fbbYk0zRURE6vQ+zOD3339Ht27d4OrqColEggMHDrx2m6ioKPj5+UEmk8Hb2xtbt24t8ziJiHShTZs2EAQBycnJhd6ZTURE2tN7MpuZmYnGjRtj9erVWpWPi4tDSEgI2rZti6tXr2LChAkYPny4xjn4iIiIiKhiK1ezGUgkEvz888/o0aNHoWWmTp2KQ4cOqTyp5sMPP0RaWhoiIiLeQJREREREVF4Y3JjZ6Ohotcf6BQcHY8KECYVuk5ubKz4BBXjxrOvU1FRUq1at0EdWEhEREZH+CIKAjIwMuLq6FvlQD4NLZpOSkuDk5KSyzMnJCenp6cjOzoalpaXaNgsWLND4aDwiIiIiKt8ePHiAt956q9D1BpfMlkR4eDjCwsLEz8+ePUONGjUQFxdX5OM5KxK5XI5Tp06hbdu2kEql+g5HL5SCEv+l/wcAeMv2LZhI9D5kXGs6q7/MTEjd3V/s8/59wNpaRxFSUcr6+jPktm0I+Ptp+FiHhikjIwOenp6vzdUMLpl1dnZGcnKyyrLk5GTY2tpq7JUFAJlMBplMpra8atWqsLW1LZM4yxu5XA4rKytUq1bNaC/kzLxM+K32AwA8D38Oa3PDSeR0Vn8WFv/3vlo1JrNvSFlff4bctg0Bfz8NH+vQMBXU1euGhBrcf9+bN2+OEydOqCyLjIxE8+bN9RQREREREemL3pPZ58+f4+rVq7h69SqAF1NvXb16FfHx8QBeDBEYOHCgWP6TTz7B3bt3MWXKFNy6dQvfffcd9uzZg4kTJ+ojfCIiIiLSI70nsxcvXoSvry98fX0BAGFhYfD19cXMmTMBAImJiWJiCwCenp44dOgQIiMj0bhxYyxZsgQbN25EcHCwXuInIiIiIv3R+5jZgqfhFEbT073atGmDK1eulGFUREREb44gCMjPz4dCodB3KBWSXC6HmZkZcnJy+B2XI6ampjAzMyv1NKl6T2aJiIiMWV5eHhITE5GVlaXvUCosQRDg7OyMBw8ecH75csbKygouLi4wNzcv8T6YzBIREemJUqlEXFwcTE1N4erqCnNzcyZbZUCpVOL58+ewsbEpcvJ9enMEQUBeXh4eP36MuLg41KpVq8R1w2SWjIaZiRlGB4wW3xNVFGzbhisvLw9KpRJubm6wsrLSdzgVllKpRF5eHiwsLJjMliOWlpaQSqW4f/++WD8lwV89MhoyMxlWh6zWdxhEOse2bfiYYJGx0kXb59VDRERERAaLPbNkNARBQEpWCgDA3sqe49KowmDbJiJjxp5ZMhpZ8iw4LnaE42JHZMl51zBVHGzbpA+CIGDkyJGoWrUqJBKJ+PCjJ0+ewNHREffu3dNrfIVJSUmBo6Mj/vvvP32HQjrCZJaIiIiKLSIiAlu3bsWvv/6KxMRENGzYEADw1Vdf4b333oOHh0epj7Fr1y5IJBL06NFDZfngwYMhkUhUXp06dVIpEx0djSZNmsDDwwObNm0Sl9vb22PgwIGYNWtWqeMryr1799RilEgk+PPPP1XK7d27F3Xr1oWFhQV8fHxw+PBhcZ1cLsfUqVPh4+MDa2truLq6YuDAgXj48KHKcYYNGwZPT09YWlrCy8sLs2bNQl5eXpHx5eTk4NNPP0W1atVgY2ODXr16ITk5ucht2rRpgwkTJqgt37p1K+zs7F7/pZQRJrNERERUbLGxsXBxcUGLFi3g7OwMMzMzZGVlYdOmTRg2bFih20VFRWmV6N67dw+TJk1Cq1atNK7v1KkTEhMTxdePP/6osn7YsGGYMWMGdu7ciW+++UalJ3bIkCHYsWMHUlNTtTvZUjh+/LhKnP7+/uK6s2fPIjQ0FMOGDcOVK1fQo0cP9OjRA9evXwcAZGVl4fLly5gxYwYuX76Mn376Cbdv30b37t3Ffdy6dQtKpRLr1q3DjRs3sGzZMqxduxbTpk0rMq6JEyfil19+wd69e/Hbb7/h4cOH6NmzZ9l8CWWMY2aJiIjKocy8zELXmZqYwsLMQquyJhITWEotX1vW2txa69gGDx6Mbdu2AQAkEgnc3d1x7949HD58GDKZDM2aNdN6X5ooFAr0798fc+bMwenTp5GWlqZWRiaTwdnZudB9ZGZmws/PD46OjqhSpQqeP38urmvQoAFcXV3x888/F5l460K1atUKjXPFihXo1KkTJk+eDACYN28eIiMjsWrVKqxduxaVK1dGZGSkyjarVq1CYGAg4uPjUaNGDXTq1EmlV7pmzZq4ffs21qxZg8WLF2s87rNnz7Bp0ybs3LkT7dq1AwBs2bIF9erVw59//lnq+vPw8MD9+/fVlhf1xNfSYDJLRERUDtkssCl0XZdaXXCo3yHxc1HjpVu7t0bU4Cjxs8cKD/GGwZcJs7RPNFasWAEvLy+sX78eFy5cgKmpKQDg9OnTKj2PJTV37lw4Ojpi2LBhOH36tMYyUVFRYqLarl07fPnll6hWrZq4fubMmahXrx7y8/PxySefoG7duirbBwYG4vTp04Ums/Hx8ahfv36RcU6bNu21PaDdu3dHTk4OateujSlTpqj0qkZHRyMsLEylfHBwMA4cOFDo/p49ewaJRFLkn/WfPXuGqlWrFrr+0qVLkMvlCAoKEpfVrVsXNWrUQHR0dKmT2QsXLoiPDVYoFOjduzekUmmp9lkUJrNERERULJUrV0alSpVgamqq0ut4//59uLq6lmrfZ86cwaZNm8QbyjTp1KkTevbsCU9PT8TGxmLatGno3LkzoqOjxcR62LBh+PDDD5GXl4fKlSsjPT1dZR+urq64cuVKocdwdXUtMgYARSaMNjY2WLJkCVq2bAkTExPs378fPXr0wIEDB8SENikpCU5OTirbOTk5ISkpSeM+c3JyMHXqVISGhsLW1lZjmZiYGKxcubLQXtmC45qbm6slxEUdu8B3332HjRs3qizLz89XeeCBg4OD+H78+PFITEzEhQsXitxvaTCZJSIiKoeehz8vdJ2pianK50eTHhVa1kSienvMvfH3ShVXUbKzszU+xcnG5v96mRUKBXJzc1WWffTRR1i7di0yMjIwYMAAbNiwAfb29oUe58MPPxTf+/j4oFGjRvDy8kJUVBTat28vrrO2toa1tTWUSqXaPiwtLZGVVfjsH2ZmZvD29i78ZF/D3t5epdf17bffxsOHD7Fo0SKV3lltyeVy9OnTB4IgYM2aNRrLJCQkoFOnTvjggw8wYsSIEsdelP79++OLL75QWfbTTz9h/vz5amXXr1+PTZs24ezZsyoJrq4xmSWjYWZihkGNB4nviSoKtu2KqThjWMuqbHHZ29vj6dOnastf7uE8d+4cpk6diqioKHFZQS9jbGws7t27h27duonrChJRMzMz3L59G15eXmr7r1mzJuzt7RETE6OSzBYlNTW1yARLV8MMXta0aVOVMbDOzs5qMwgkJyerjbEtSGTv37+PkydPauyVffjwIdq2bYsWLVpg/fr1Rcbh7OyMvLw8pKWlqfTOajr2qypXrqyW5Ds6OqqVO3XqFMaOHYsff/wRjRo1KnKfpcVfPTIaMjMZtvbYqu8wiHSObZvKC19fX/zwww9qy19Ofv77779Cez3r1q2La9euqSybPn06MjIysGLFCri5uWk87n///YcnT57AxcVF61ivX7+ONm3aFLq+tMMMNLl69apKjM2bN8eJEydUpruKjIxE8+bNxc8FieydO3dw6tQplXHBBRISEtC2bVv4+/tjy5Ytr31ErL+/P6RSKU6cOIFevXoBAG7fvo34+HiVY5dUTEwMevfujWnTpr2RGRKYzBIREZFOBAcHIzw8HE+fPkWVKlWKvb2FhYU4X22Bgp7DguXPnz/HnDlz0KtXLzg7OyM2NhZTpkyBt7c3goODtTpOVlYWLl26pPFP4wVKO8xg27ZtMDc3h6+vL4AXf4rfvHmzynjT8ePHo3Xr1liyZAlCQkKwa9cuXLx4UexZlcvl6N27Ny5fvoxff/0VCoVCHNNatWpVmJubIyEhAW3atIG7uzsWL16Mx48fi/sv6GVNSEhA+/bt8f333yMwMBCVK1fGsGHDEBYWhqpVq8LW1hZjx45F8+bNS33zV3Z2Nrp16wZfX1+MHDlSZQzu63p9S4rJLBkNQRDEu32tpFZ85CdVGGzbVF74+PjAz88Pe/bswccff1wmxzA1NcXff/+Nbdu2IS0tDa6urujYsSPmzZsHmUym1T7+97//oUaNGoXOYasr8+bNw/3792FmZoa6deti9+7d6N27t7i+RYsW2LlzJ6ZPn45p06ahVq1aOHDggJi4JyQk4ODBgwCAJk2aqOz71KlTaNOmDSIjIxETE4OYmBi89dZbKmUKpsKSy+W4ffu2yhjhZcuWwcTEBL169UJubi6Cg4Px3Xfflfqck5OTcevWLdy6dUvtZsCymppLIpTVnsux9PR0VK5cGc+ePSv0bsCKRi6X4/Dhw+jSpUuZTo9RnmXmZYpT3TwPf16m48Z0TWf1l5kJFNx08fw5YG0434EhK+vrz5DbtiEoy/rLyclBXFwcPD09Nd44ZYgOHTqEyZMn4/r166/9c/ebolQqkZ6eDltbW5iYmKBZs2YYN24c+vXrp+/QjF5R14C2+Rp7ZomIiEhnQkJCcOfOHSQkJBQ6xlWfUlJS0LNnT4SGhuo7FNIRJrNERESkUy/f0FTe2NvbY8qUKfoOg3SofPT/ExERERGVAJNZIiIiIjJYTGaJiIiIyGAxmSUiIiIig8UbwMhomJqYonf93uJ7ooqCbZuIjBmTWTIaFmYW2PvBXn2HQaRzbNtEZMw4zICIiIiIDBaTWSIiIio2QRAwcuRIVK1aFRKJBFevXgUAPHnyBI6Ojrh3755e42vWrBn279+v1xjozWAyS0YjMy8TkjkSSOZIkJmXqe9wiHSGbZv0ISIiAlu3bsWvv/6KxMRENGzYEADw1Vdf4b333oOHh4dW+4mJiUGlSpVgZ2ensnzr1q2QSCQqr1cfd5qUlITOnTvD1dUVY8aMgVKpFNdNnz4dn3/+ucqyspSbm4smTZqoJPYFjh49imbNmqFSpUpwcHBAr169VJL9qKgotXOVSCRISkoSy2RkZGDChAlwd3eHpaUlWrRogQsXLrw2rqioKPj5+UEmk8Hb2xtbt259bXmJRIK0tDS1dR4eHli+fPlrj/mmMZklIiKiYouNjYWLiwtatGgBZ2dnmJmZISsrC5s2bcKwYcO02odcLkdoaChatWqlcb2trS0SExPF1/3791XWz5gxAwEBAThy5Aju3r2LXbt2ies6d+6MjIwMHDlypOQnWQxTpkyBq6ur2vK4uDi89957aNeuHa5evYqjR4+Kj9R91e3bt1XO19HRUVw3fPhwREZGYvv27bh27Ro6duyIoKAgJCQkFBpTXFwcQkJC0LZtW1y9ehUTJkzA8OHDcfToUd2cdDnBZJaIiKgcyszLLPSVk5+jddlsebZWZYtj8ODBGDt2LOLj4yGRSMRe2MOHD0Mmk6FZs2Za7Wf69OmoW7cu+vTpo3G9RCKBs7Oz+HJyclJZ//TpU/j4+MDHxwc1a9ZU6U00NTVFly5dVBLcsnLkyBEcO3YMixcvVlt36dIlKBQKfPnll/Dy8oKfnx8mTZqEq1evQi6Xq5R1dHRUOV8TkxdpWnZ2Nvbv34+FCxfi3Xffhbe3N2bPng1vb2+sWbOm0LjWrl0LT09PLFmyBPXq1cOYMWPQu3dvLFu2rNTnrKnnXCKRYPbs2aXed3FxNgMiIqJyyGaBTaHrutTqgkP9DomfHRc7IkuepbFsa/fWiBocJX72WOGBlKwUtXLCLEHr2FasWAEvLy+sX78eFy5cgKnpiynhTp8+DX9/f632cfLkSezduxdXr17FTz/9pLHM8+fP4e7uDqVSCT8/P8yfPx8NGjQQ13/++ecICQlB//798fbbb+Prr79W2T4wMFBt2asaNGig1uP7slatWhXZu5ucnIwRI0bgwIEDsLKyUlvv7+8PExMTbNmyBYMHD8bz58+xfft2BAUFQSqVqpRt0qQJcnNz0bBhQ8yePRstW7YEAOTn50OhUKgNs7C0tMSZM2cKjS06OhpBQUEqy4KDgzFhwoRCt9FW37590alTJ/FzVFQUBgwYIMb8JjGZJSIiomKpXLkyKlWqBFNTUzg7O4vL79+/r/FP7a968uQJBg8ejB9++AG2trYay9SpUwebN29Go0aN8OzZMyxevBgtWrTAjRs38NZbbwEAAgICkJCQgJSUFJU4Cri6uuLBgwdFjps9fPiwWg/pyywtLQtdJwgCBg8ejE8++QQBAQEab3rz9PTEsWPH0KdPH3z88cdQKBRo3rw5Dh8+LJZxcXHB2rVrERAQgNzcXGzcuBFt2rTBuXPn4Ofnh0qVKqF58+aYN28e6tWrBycnJ/z444+Ijo6Gt7d3ofElJSWp9WY7OTkhPT0d2dnZRZ5bwXf8sqys//sPk6Wlpbh9bGwsPv30U8yfPx8dOnQodJ9lhcksERFROfQ8/Hmh6159OMajSY8KLWsiUR1ReG/8vVLFVZTs7Gy13sOXez4LejlHjBiBfv364d133y10X82bN0fz5s3Fzy1atEC9evWwbt06zJs3T1xuZmamMZEFXiRcSqUSubm5hR7H3d1dq3PTZOXKlcjIyEB4eHihZZKSkjBixAgMGjQIoaGhyMjIwMyZM9G7d29ERkZCIpGgTp06qFOnjrhNixYtEBsbi2XLlmH79u0AgO3bt2Po0KGoXr06TE1N4efnh9DQUFy6dKnE8Rfl9OnTqFSpksqyNm3aqJV79uwZunbtipCQEEyePLlMYnkdJrNERETlkLW5td7LFpe9vT2ePn2qsuzlns+CnryTJ0/i4MGD4hhTQRCgVCphZmaG9evXY+jQoWr7lkql8PX1RUxMjNbxpKamwtraGpaWloX2vpZmmMHJkycRHR0NmUymsjwgIAD9+/fHtm3bsHr1alSuXBkLFy4U1//www9wc3PDuXPnCh1fHBgYqDKEwMvLC7/99hsyMzORnp4OFxcX9O3bFzVr1iw0dmdnZyQnJ6ssS05Ohq2tbZG9ssCLHuVXZ5gwM1NNGxUKBfr27QtbW1usX7++yP2VJSazZDRMTUzRpVYX8T1RRcG2TeWFr68vfvjhB5Vlmno+o6OjoVAoxM//+9//8M033+Ds2bOoXr26xn0rFApcu3YNXbp00Tqe69evw9fXt8gypRlm8O233+LLL78UPz98+BDBwcHYvXs3mjZtCuDFn+YLbuQqUDDGuKjhD1evXoWLi4vacmtra1hbW+Pp06c4evSoSpL8qleHMwBAZGSkSo93aUycOBHXrl3DxYsX1Xrk3yQms2Q0LMwsVG6YIKoo2LapvAgODkZ4eDiePn2KKlWqFFquXr16Kp8vXrwIExMTca5aAJg7dy6aNWsGb29vpKWlYdGiRbh//z6GDx+udTynT59Gx44diyxTmmEGNWrUUPlsY/Pipj0vLy9xzGlISAiWLVuGuXPnisMMpk2bBnd3dzHRXr58OTw9PdGgQQPk5ORg48aNOHnyJI4dOybu++jRoxAEAXXq1EFMTAwmT56MunXrYsiQIWKZ8PBwJCQk4PvvvwcAfPLJJ1i1ahWmTJmCoUOH4uTJk9izZw8OHSr978WWLVvw3Xff4eeff1aZE9fGxkb8Ht4UTs1FREREOuHj4wM/Pz/s2bOn1Pt6+vQpRowYgXr16qFLly5IT0/H2bNnUb9+fa22T0hIwNmzZ1WSPX1o164ddu7ciQMHDsDX1xedOnWCTCZDRESE2Oubl5eHzz77DD4+PmjdujX++usvHD9+HO3btxf38+zZM3z66aeoW7cuBg4ciHfeeQdHjx5VmREhMTER8fHx4mdPT08cOnQIkZGRaNy4MZYsWYKNGzciODi41Of122+/QaFQoHv37nBxcRFfmqYnK2sSQRC0n4ujgkhPT0flypXx7NmzQu+irGjkcjkOHz6MLl26qE0FQuWfzuovMxMo+B/z8+eAddmNnaP/w+vPsJVl/eXk5CAuLg6enp56/TOtLh06dAiTJ0/G9evX1f68/iZNnToVT58+xfr166FUKpGeng5bW1u9xkTqiroGtM3XOMyAjEZmXiYcF794msqjSY/K9CYIojeJbZvKk5CQENy5cwcJCQlwc3PTWxyOjo4ICwvT2/HpzWEyS0alsEnFiQwd2zaVJ7qYlL+0PvvsM32HQG8I+9qJiIiIyGAxmSUiIiIig8VkloiIiIgMFpNZIiIiIjJYTGaJiIiIyGBxNgMyGiYSE7R2by2+J6oo2LaJyJgxmSWjYSm1RNTgKH2HQaRzbNtEZMz4X3giIiIqNkEQMHLkSFStWhUSiQRXr17Vd0hkpJjMEhERUbFFRERg69at+PXXX5GYmIiGDRsCAFavXg0PDw9YWFigadOmOH/+vJ4jfXOePHmCt956CxKJBGlpaSrrVq9ejXr16sHS0hJ16tTB999/r7L+xo0b6NWrFzw8PCCRSLB8+XKNx0hISMBHH32EatWqwdLSEj4+Prh48WKRce3YsQONGzeGlZUVXFxcMHToUDx58qTQ8vfu3Sv0Pyht2rQpFw/FeBmTWTIamXmZcFjkAIdFDsjMy9R3OEQ6w7ZN+hAbGwsXFxe0aNECzs7OMDMzw+7duxEWFoZZs2bh8uXLaNy4MYKDg/Ho0SN9h/tGDBs2DI0aNVJbvmbNGoSHh2P27Nm4ceMG5syZg08//RS//PKLWCYrKws1a9bE119/DWdnZ437f/r0KVq2bAmpVIojR47g5s2bWLJkCapUqVJoTH/88QcGDhyIYcOG4caNG9i7dy/Onz+PESNGlP6Eywkms2RUUrJSkJKVou8wiHSObbsCEQQgM1M/L0HQKsTBgwdj7NixiI+Ph0QigYeHBwBg6dKlGDFiBIYMGYL69etj7dq1sLKywubNm7Xab1paGoYPHw4HBwfY2tqiXbt2+OuvvwAAjx8/hrOzM+bPny+WP3v2LMzNzXHixAkAwOzZs9GkSROsW7cObm5usLKyQp8+ffDs2bNiVEDJrFmzBmlpaZg0aZLauu3bt+Pjjz9G3759UbNmTXz44YcYOXIkvvnmG7HM22+/jUWLFuHDDz+ETCbTeIxvvvkGbm5u2LJlCwIDA+Hp6YmOHTvCy8ur0Liio6Ph4eGBcePGwdPTE++88w4+/vhjnfSYR0VFQSKRqL0GDx5c6n0XB5NZIiKi8iQrC7Cx0c8rK0urEFesWIG5c+firbfeQmJiIi5cuIC8vDxcunQJQUFBYjkTExMEBQUhOjpaq/1+8MEHePToEY4cOYJLly7Bz88P7du3R2pqKhwcHLB582bMnj0bFy9eREZGBgYMGIAxY8agffv24j5iYmKwZ88e/PLLL4iIiMCVK1fw6aefFnlcGxubIl+ffPJJkdvfvHkTc+fOxffffw8TE/XUKjc3FxYWFirLLC0tcf78ecjlcq2+GwA4ePAgAgIC8MEHH8DR0RG+vr7YsGFDkds0b94cDx48wOHDhyEIApKTk7Fv3z506dJF6+MWpkWLFkhMTBRfJ0+ehIWFBd59991S77s4OJsBERERFUvlypVRqVIlmJqain8Sf/jwIRQKBZycnFTKOjk54datW6/d55kzZ3D+/Hk8evRI7JlcvHgxDhw4gH379mHkyJHo0qULRowYgf79+yMgIADW1tZYsGCByn5ycnLw/fffo3r16gCAlStXIiQkBLNmzYKtra3GY7/u5rXCtgNeJKqhoaFYtGgRatSogbt376qVCQ4OxsaNG9GjRw/4+fnh0qVL2LhxI+RyOVJSUuDi4lLk8QvcvXsXa9asQVhYGKZNm4YLFy5g3LhxMDc3x6BBgzRu07JlS+zYsQN9+/ZFTk4O8vPz0a1bN6xevfq1x2vRooVacp6dnY0mTZoAAMzNzcX6f/LkCYYPH46hQ4di6NChWp2PrjCZJSIiKk+srIDnz/V3bD3566+/8Pz5c1SrVk1leXZ2NmJjY8XPixcvRsOGDbF3715cunRJ7U/yNWrUEBNZ4EXPpFKpRExMDGrVqqXx2N7e3iWOOzw8HPXq1cNHH31UaJkZM2YgKSkJzZo1gyAIcHJywqBBg7Bw4UKNPbmFUSqVCAgIEIda+Pr64vr161i7dm2hyezNmzcxfvx4zJw5E8HBwUhMTMTkyZPxySefYNOmTUUeb/fu3ahXr57Ksv79+6uVk8vl6NWrF9zd3bFixQqtz0dXmMwSERGVJxIJYG2t7yiKzd7eHqampkhOTlZZnpycXOgNTS97/vw5XFxcEBUVpbbOzs5OfB8bG4uHDx9CqVTi3r178PHxKW3osLGxKXL9Rx99hLVr12pcd/LkSVy7dg379u0D8GLKMuDF9/HFF19gzpw5sLS0xObNm7Fu3TokJyfDxcUF69evR6VKleDg4KB1nC4uLqhfv77Ksnr16mH//v2FbrNgwQK0bNkSkydPBgA0atQI1tbWaNWqFb788ssie4Xd3NzUEn1LS0u1cqNGjcKDBw9w/vx5mJm9+dSSySwRERGVmrm5Ofz9/XHixAn06NEDwIuexBMnTmDMmDGv3d7Pzw9JSUkwMzMTbyh7VV5eHj766CP07dsXderUwfDhw3Ht2jU4OjqKZeLj4/Hw4UO4uroCAP7880+YmJgU2ftammEG+/fvR3Z2tvj5woULGDp0KE6fPq12Y5ZUKsVbb70FANi1axe6du1arJ7Zli1b4vbt2yrL/v33X7i7uxe6TVZWllqCaWpqCuD/Eu/SWLp0Kfbs2YOzZ8+q9aq/KUxmyWiYSEwQ4BogvieqKNi2qbwICwvDoEGDEBAQgMDAQCxfvhyZmZkYMmTIa7cNCgpC8+bN0aNHDyxcuBC1a9fGw4cPcejQIbz//vsICAjAF198gWfPnuHbb7+FjY0NDh8+jKFDh+LXX38V92NhYYFBgwZh8eLFSE9Px7hx4/DBBx+ojeV9WWmGGbyasKakvJhVpF69emKP8r///ovz58+jadOmePr0KZYuXYrr169j27Zt4nZ5eXm4efOm+D4hIQFXr16FjY2NGN/EiRPRokULzJ8/H3369MH58+exfv16rF+/XtxPeHg4EhISxHlsu3XrhhEjRmDNmjXiMIMJEyYgMDBQTPhL6vjx45gyZQpWr14Ne3t7JCUlAXjRe1u5cuVS7bs4mMyS0bCUWuLCiAv6DoNI59i2qbzo27cvHj9+jJkzZyIpKQlNmjRBREREkYlkAYlEgsOHD+OLL77AkCFDxKm43n33XTg5OSEqKgrLly/HqVOnxJ7S7du3o3HjxlizZg1GjRoF4EVi2rNnT3Tp0gWpqano2rWrVjc7lSWFQoElS5bg9u3bkEqlaNu2Lc6ePavSA/3w4UP4+vqKnxcvXozFixejdevW4tCLt99+Gz///DPCw8Mxd+5ceHp6Yvny5SrjWBMTExEfHy9+Hjx4MDIyMrBq1Sp89tlnsLOzQ7t27VSmBSupM2fOQKFQ4JNPPlGZ8WHQoEHYunVrqfevLYmgiz5mA5Oeno7KlSvj2bNnRf7poCKRy+U4fPgwunTpAqlUqu9wqJh0Vn+ZmS+m3wFe3GBigOPyDBGvP8NWlvWXk5ODuLg4eHp6qk3dRMU3e/ZsHDhwQG3YgFKpRHp6OmxtbYv1Z30qe0VdA9rma6xRIiIiIjJYTGbJaGTJs+Cx3AMeyz2QJdduYnAiQ8C2TYZgx44dhT6UoEGDBvoOjwwYx8yS0RAEAfef3RffE1UUbNtkCLp3746mTZtqXKer4RuzZ8/G7NmzdbIvMhxMZomIiKjMVapUCZUqVdJ3GFQBcZgBERGRnrFHnYyVLto+k1kiIiI9KfjzelYWxzqTcSpo+6UZalIuhhmsXr0aixYtQlJSEho3boyVK1ciMDCw0PLLly/HmjVrEB8fD3t7e/Tu3RsLFizgtCZERGRQTE1NYWdnh0ePHgEArKysIJFI9BxVxaNUKpGXl4ecnBxOzVVOCIKArKwsPHr0CHZ2duJTyUpC78ns7t27ERYWhrVr16Jp06ZYvnw5goODcfv2bZXH0xXYuXMnPv/8c2zevBktWrTAv//+i8GDB0MikWDp0qV6OAMiIqKSc3Z2BgAxoSXdEwQB2dnZsLS05H8Wyhk7OzvxGigpvSezS5cuxYgRI8RH3a1duxaHDh3C5s2b8fnnn6uVP3v2LFq2bIl+/foBADw8PBAaGopz58690bjJ8EgkEtR3qC++J6oo2LYNm0QigYuLCxwdHSGXy/UdToUkl8vx+++/49133+WDS8oRqVRaqh7ZAnpNZvPy8nDp0iWEh4eLy0xMTBAUFITo6GiN27Ro0QI//PADzp8/j8DAQNy9exeHDx/GgAEDCj1Obm4ucnNzxc/p6ekAXjRuY/nhKDhPYzlfTaSQ4uqIq+JnQ/oudFZ/cjmk4ls5YEDfgSEr6+vPkNu2IXiTv5+6+Ied1CmVSuTn58PU1JTfcTmiVCqhVCoLXa/tNafXZDYlJQUKhULtmc1OTk64deuWxm369euHlJQUvPPOOxAEAfn5+fjkk08wbdq0Qo+zYMECzJkzR235sWPHYGVlVbqTMDCRkZH6DoFKobT1Z5qTg67///3Ro0eh4DjzN4rXn2Fj/Rk+1qFh0fbGSL0PMyiuqKgozJ8/H9999x2aNm2KmJgYjB8/HvPmzcOMGTM0bhMeHo6wsDDxc3p6Otzc3NCxY8cin/VbkcjlckRGRqJDhw78E4sB0ln9ZWaKb4ODgwFrax1ER6/D68+wsf4MH+vQMBX8Jf119JrM2tvbw9TUFMnJySrLk5OTCx0MPGPGDAwYMADDhw8HAPj4+CAzMxMjR47EF198ofEuRZlMBplMprZcKpUaXaM2xnMukCXPwtsb3gYAXBhxAVZSw+uVL3X9vbStVCpV+Uxlr6yuv4rQtg2BMf9+VhSsQ8OibV3pdX4Kc3Nz+Pv748SJE+IypVKJEydOoHnz5hq3ycrKUktYC8a/cNJpKoogCLj5+CZuPr7JtkIVCts2ERkzvQ8zCAsLw6BBgxAQEIDAwEAsX74cmZmZ4uwGAwcORPXq1bFgwQIAQLdu3bB06VL4+vqKwwxmzJiBbt26cVA3ERERkZHRezLbt29fPH78GDNnzkRSUhKaNGmCiIgI8aaw+Ph4lZ7Y6dOnQyKRYPr06UhISICDgwO6deuGr776Sl+nQERERER6ovdkFgDGjBmDMWPGaFwXFRWl8tnMzAyzZs3CrFmz3kBkRERERFSe8ZluRERERGSwmMwSERERkcEqF8MMiN4EiUQC98ru4nuiioJtm4iMGZNZMhpWUivcm3BP32EQ6RzbNhEZMw4zICIiIiKDxWSWiIiIiAwWk1kyGtnybLy94W28veFtZMuz9R0Okc6wbRORMeOYWTIaSkGJiw8viu+JKgq2bSIyZuyZJSIiIiKDxWSWiIiIiAwWk1kiIiIiMlhMZomIiIjIYDGZJSIiIiKDxdkMyKjYW9nrOwSiMsG2TUTGisksGQ1rc2s8nvxY32EQ6RzbNhEZMw4zICIiIiKDxWSWiIiIiAwWk1kyGtnybLTZ2gZttrbhIz+pQmHbJiJjxjGzZDSUghK/3f9NfE9UUbBtE5ExY88sERERERksJrNEREREZLCYzBIRERGRwWIyS0REREQGi8ksERERERkszmZARsVKaqXvEIjKBNs2ERkrJrNkNKzNrZE5LVPfYRDpHNs2ERkzDjMgIiIiIoPFZJaIiIiIDBaTWTIaOfk5CNkZgpCdIcjJz9F3OEQ6w7ZNRMaMY2bJaCiUChy+c1h8T1RRsG0TkTFjzywRERERGSwms0RERERksJjMEhEREZHBYjJLRERERAaLySwRERERGSwms0RERERksDg1FxkNa3NrCLMEfYdBpHNs20RkzNgzS0REREQGi8ksERERERmsYg8zUCqV+O2333D69Gncv38fWVlZcHBwgK+vL4KCguDm5lYWcRKVWk5+Dgb8PAAAsP397bAws9BzRES6wbZNRMZM657Z7OxsfPnll3Bzc0OXLl1w5MgRpKWlwdTUFDExMZg1axY8PT3RpUsX/Pnnn2UZM1GJKJQK7Lu5D/tu7uMjP6lCYdsmImOmdc9s7dq10bx5c2zYsAEdOnSAVCpVK3P//n3s3LkTH374Ib744guMGDFCp8ESEREREb1M62T22LFjqFevXpFl3N3dER4ejkmTJiE+Pr7UwRERERERFUXrYQavS2RfJpVK4eXlVaKAiIiIiIi0Vap5ZrOyshAfH4+8vDyV5Y0aNSpVUERERERE2ihRMvv48WMMGTIER44c0bheoeANCERERERU9ko0z+yECROQlpaGc+fOwdLSEhEREdi2bRtq1aqFgwcP6jpGIiIiIiKNStQze/LkSfzvf/9DQEAATExM4O7ujg4dOsDW1hYLFixASEiIruMkKjUrqRWehz8X3xNVFGzbRGTMStQzm5mZCUdHRwBAlSpV8PjxYwCAj48PLl++rLvoiHRIIpHA2twa1ubWkEgk+g6HSGfYtonImJUoma1Tpw5u374NAGjcuDHWrVuHhIQErF27Fi4uLjoNkIiIiIioMCUaZjB+/HgkJiYCAGbNmoVOnTphx44dMDc3x9atW3UZH5HO5Obn4uNfPwYArOu6DjIzmZ4jItINtm0iMmYlSmY/+ugj8b2/vz/u37+PW7duoUaNGrC3t9dZcES6lK/Mx7a/tgEAVndZDRn4Dz5VDGzbRGTMSjXPbAErKyv4+fnpYldERERERFor0ZjZXr164ZtvvlFbvnDhQnzwwQelDoqIiIiISBslSmZ///13dOnSRW15586d8fvvv5c6KCIiIiIibZQomX3+/DnMzc3VlkulUqSnp5c6KCIiIiIibZQomfXx8cHu3bvVlu/atQv169cvdVBERERERNoo0Q1gM2bMQM+ePREbG4t27doBAE6cOIEff/wRe/fu1WmARERERESFKVEy261bNxw4cADz58/Hvn37YGlpiUaNGuH48eNo3bq1rmMk0gkrqRUeTXokvieqKNi2iciYlXhqrpCQEISEhOgyFqIyJZFI4GDtoO8wiHSObZuIjFmJxswSEREREZUHWvfMVq1aFf/++y/s7e1RpUoVSCSSQsumpqbqJDgiXcrNz0XY0TAAwNLgpXzkJ1UYbNtEZMy0TmaXLVuGSpUqAQCWL19eVvEQlZl8ZT6+u/gdAGBhh4V85CdVGGzbRGTMtE5mBw0apPE9EREREZG+aJ3MFudhCLa2tiUKhoiIiIioOLROZu3s7IocJwsAgiBAIpFAoVCUOjAiIiIiotfROpk9depUmQWxevVqLFq0CElJSWjcuDFWrlyJwMDAQsunpaXhiy++wE8//YTU1FS4u7tj+fLl6NKlS5nFSERERETlj9bJbFk9DGH37t0ICwvD2rVr0bRpUyxfvhzBwcG4ffs2HB0d1crn5eWhQ4cOcHR0xL59+1C9enXcv38fdnZ2ZRIfEREREZVfJX5oQlpaGjZt2oR//vkHANCgQQMMHToUlStXLtZ+li5dihEjRmDIkCEAgLVr1+LQoUPYvHkzPv/8c7XymzdvRmpqKs6ePQupVAoA8PDwKOlpEBEREZEB0yqZvXv3LmrWrCl+vnjxIoKDg2FpaSkOB1i6dCm++uorHDt2DH5+flodPC8vD5cuXUJ4eLi4zMTEBEFBQYiOjta4zcGDB9G8eXN8+umn+N///gcHBwf069cPU6dOhampqcZtcnNzkZubK34uuJlNLpdDLpdrFauhKzhPYzlfTcxghn9H/yu+N6TvQmf1J5dD+vI+Deg7MGRlff0Zcts2BPz9NHysQ8OkbX1plczu2rULsbGx2LBhA0xMTDBx4kR0794dGzZsgJnZi13k5+dj+PDhmDBhAn7//XetDp6SkgKFQgEnJyeV5U5OTrh165bGbe7evYuTJ0+if//+OHz4MGJiYjB69GjI5XLMmjVL4zYLFizAnDlz1JYfO3YMVlbG9RzzyMhIfYdQLtzETX2HUCKlrT/TnBx0/f/vjx49CoWFRemDIq29ievPUNu2IeDvp+FjHRqWrKwsrcpJBEEQXlcoNzcXY8eORXx8PCIiImBpaYkrV66gbt26KuVu3ryJgIAArQ/+8OFDVK9eHWfPnkXz5s3F5VOmTMFvv/2Gc+fOqW1Tu3Zt5OTkIC4uTuyJXbp0KRYtWoTExMRC43+1Z9bNzQ0pKSlGM42YXC5HZGQkOnToIA7PIMOhs/rLzIS0SpUX+3z6FLC21lGEVBRef4aN9Wf4WIeGKT09Hfb29nj27FmR+ZpWPbMymQzr16/Hzp07AbyYRzY+Pl4tmX3w4IH4lDBt2Nvbw9TUFMnJySrLk5OT4ezsrHEbFxcXSKVSlSEF9erVQ1JSEvLy8mBubq4xfplM/Yk4UqnU6Bq1MZ5zgTxFHr448QUA4Kv2X8HcVL2tlHelrr+XtpVKpSqfqeyV1fVXEdq2ITDm38+KgnVoWLStK5Pi7LRfv34AgL59+2LYsGHYvXs3Hjx4gAcPHmDXrl0YPnw4QkNDtd6fubk5/P39ceLECXGZUqnEiRMnVHpqX9ayZUvExMRAqVSKy/7991+4uLhoTGSJCsgVciyOXozF0YshV3DcFFUcbNtEZMxKNJvB4sWLIZFIMHDgQOTn5wN4kT2PGjUKX3/9dbH2FRYWhkGDBiEgIACBgYFYvnw5MjMzxdkNBg4ciOrVq2PBggUAgFGjRmHVqlUYP348xo4dizt37mD+/PkYN25cSU6FiIiIiAxYiZJZc3NzrFixAgsWLEBsbCwAwMvLq0Q3U/Xt2xePHz/GzJkzkZSUhCZNmiAiIkK8KSw+Ph4mJv/Xgezm5oajR49i4sSJaNSoEapXr47x48dj6tSpJTkVIiIiIjJgJZ5nFgCsrKzEhxWUZlaAMWPGYMyYMRrXRUVFqS1r3rw5/vzzzxIfj4iIiIgqhmKNmS2Qn5+PGTNmoHLlyvDw8ICHhwcqV66M6dOncw43IiIiInpjStQzO3bsWPz0009YuHCheKNWdHQ0Zs+ejSdPnmDNmjU6DZKIiIiISJMSJbM7d+7Erl270LlzZ3FZo0aN4ObmhtDQUCazRERERPRGlCiZlclk8PDwUFvu6enJ6bGo3LKUWuL6qOvie6KKgm2biIxZicbMjhkzBvPmzVN5qlZubi6++uqrQm/kItI3E4kJGjg2QAPHBjCRlKjpE5VLbNtEZMy07pnt2bOnyufjx4/jrbfeQuPGjQEAf/31F/Ly8tC+fXvdRkhEREREVAitk9nKlSurfO7Vq5fKZzc3N91ERFRG8hR5mH96PgBgWqtpfOQnVRhs20RkzLROZrds2VKWcRCVOblCjjm/zQEATG4xmf/gU4XBtk1ExoyDq4iIiIjIYJVoNoMnT55g5syZOHXqFB49egSlUqmyPjU1VSfBEREREREVpUTJ7IABAxATE4Nhw4bByckJEolE13EREREREb1WiZLZ06dP48yZM+JMBkRERERE+lCiMbN169ZFdna2rmMhIiIiIiqWEiWz3333Hb744gv89ttvePLkCdLT01VeRERERERvQomGGdjZ2SE9PR3t2rVTWS4IAiQSCRQKhU6CI9IlCzMLnB9+XnxPVFGwbRORMStRMtu/f39IpVLs3LmTN4CRwTA1McXb1d/WdxhEOse2TUTGrETJ7PXr13HlyhXUqVNH1/EQEREREWmtRGNmAwIC8ODBA13HQlSm8hR5WPTHIiz6YxHyFHn6DodIZ9i2iciYlahnduzYsRg/fjwmT54MHx8fSKVSlfWNGjXSSXBEuiRXyDHl+BQAwOi3R/ORn1RhsG0TkTErUTLbt29fAMDQoUPFZRKJhDeAEREREdEbVaJkNi4uTtdxEBEREREVW4mSWXd3d13HQURERERUbFonswcPHkTnzp0hlUpx8ODBIst279691IEREREREb2O1slsjx49kJSUBEdHR/To0aPQchwzS0RERERvitbJrFKp1PieiIiIiEhfSjRmVpO0tDTY2dnpandEOmdhZoFTg06J74kqCrZtIjJmJXpowjfffIPdu3eLnz/44ANUrVoV1atXx19//aWz4Ih0ydTEFG082qCNRxuYmpjqOxwinWHbJiJjVqJkdu3atXBzcwMAREZG4vjx44iIiEDnzp0xefJknQZIRERERFSYEg0zSEpKEpPZX3/9FX369EHHjh3h4eGBpk2b6jRAIl2RK+RYf2k9AGCk/0hITaWv2YLIMLBtE5ExK1HPbJUqVfDgwQMAQEREBIKCggAAgiBwJgMqt/IUeRhzZAzGHBnD59dThcK2TUTGrEQ9sz179kS/fv1Qq1YtPHnyBJ07dwYAXLlyBd7e3joNkIiIiIioMCVKZpctWwYPDw88ePAACxcuhI2NDQAgMTERo0eP1mmARERERESFKVEyK5VKMWnSJLXlEydOLHVARERERETa0nrM7J9//qn1TrOysnDjxo0SBUREREREpC2tk9kBAwYgODgYe/fuRWZmpsYyN2/exLRp0+Dl5YVLly7pLEgiIiIiIk20HmZw8+ZNrFmzBtOnT0e/fv1Qu3ZtuLq6wsLCAk+fPsWtW7fw/PlzvP/++zh27Bh8fHzKMm4iIiIiIu2TWalUinHjxmHcuHG4ePEizpw5g/v37yM7OxuNGzfGxIkT0bZtW1StWrUs4yUqMZmZDL+G/iq+J6oo2LaJyJiV6AawgIAABAQE6DoWojJlZmKGkNoh+g6DSOfYtonImJXooQlEREREROVBiXpmiQyRXCHHjms7AAD9ffrzkZ9UYbBtE5ExYzJLRiNPkYch/xsCAPig/gf8B58qDLZtIjJmHGZARERERAaLySwRERERGSythxl8++23Wu903LhxJQqGiIiIiKg4tE5mly1bpvL58ePHyMrKgp2dHQAgLS0NVlZWcHR0ZDJLRERERG+E1sMM4uLixNdXX32FJk2a4J9//kFqaipSU1Pxzz//wM/PD/PmzSvLeImIiIiIRCUaMztjxgysXLkSderUEZfVqVMHy5Ytw/Tp03UWHBERERFRUUo0NVdiYiLy8/PVlisUCiQnJ5c6KKKyIDOTYU/vPeJ7ooqCbZuIjFmJktn27dvj448/xsaNG+Hn5wcAuHTpEkaNGoWgoCCdBkikK2YmZvigwQf6DoNI59i2iciYlWiYwebNm+Hs7IyAgADIZDLIZDIEBgbCyckJGzdu1HWMREREREQalahn1sHBAYcPH8a///6LW7duAQDq1q2L2rVr6zQ4Il3KV+bj539+BgC8X+99mJnwAXhUMbBtE5ExK9UvXu3atZnAksHIzc9Fn319AADPw5/DzJz/4FPFwLZNRMasRL94Q4cOLXL95s2bSxQMEREREVFxlCiZffr0qcpnuVyO69evIy0tDe3atdNJYEREREREr1OiZPbnn39WW6ZUKjFq1Ch4eXmVOigiIiIiIm2UaDYDjTsyMUFYWJjaY2+JiIiIiMqKzpJZAIiNjdX4MAUiIiIiorJQomEGYWFhKp8FQUBiYiIOHTqEQYMG6SQwIiIiIqLXKVEye+XKFZXPJiYmcHBwwJIlS1470wGRvpibmmPLe1vE90QVBds2ERmzEiWzp06d0nUcRGVOairF4CaD9R0Gkc6xbRORMSvRmNl27dohLS1NbXl6ejqn5iIiIiKiN6ZEPbNRUVHIy8tTW56Tk4PTp0+XOiiispCvzMfRmKMAgGDvYD7ykyoMtm0iMmbF+sX7+++/xfc3b95EUlKS+FmhUCAiIgLVq1fXXXREOpSbn4uuP3YFwEd+UsXCtk1ExqxYv3hNmjSBRCKBRCLROJzA0tISK1eu1FlwRERERERFKVYyGxcXB0EQULNmTZw/fx4ODg7iOnNzczg6OsLU1FTnQRIRERERaVKsZNbd3R3Ai0fXEhERERHpm9bJ7MGDB9G5c2dIpVIcPHiwyLLdu3cvVhCrV6/GokWLkJSUhMaNG2PlypUIDAx87Xa7du1CaGgo3nvvPRw4cKBYxyQiIiIiw6d1MtujRw8kJSXB0dERPXr0KLScRCKBQqHQOoDdu3cjLCwMa9euRdOmTbF8+XIEBwfj9u3bcHR0LHS7e/fuYdKkSWjVqpXWxyIiIiKiikXreWaVSqWYXCqVykJfxUlkAWDp0qUYMWIEhgwZgvr162Pt2rWwsrLC5s2bC91GoVCgf//+mDNnDmrWrFms4xERERFRxaHX+Vvy8vJw6dIlhIeHi8tMTEwQFBSE6OjoQrebO3cuHB0dMWzYMK3mtc3NzUVubq74OT09HQAgl8shl8tLcQaGo+A8jeV8NZEoJVjRcYX43pC+C53Vn1wO6cv7NKDvwJCV9fVnyG3bEPD30/CxDg2TtvWldTL77bffan3wcePGaVUuJSUFCoUCTk5OKsudnJxw69YtjducOXMGmzZtwtWrV7WOZ8GCBZgzZ47a8mPHjsHKykrr/VQEkZGR+g5Br9zx4ibGyKOG+T2Utv5Mc3LQ9f+/P3r0KBQWFqUPirRWltefobdtQ2Dsv58VAevQsGRlZWlVTutkdtmyZVqVk0gkWiezxZWRkYEBAwZgw4YNsLe313q78PBwhIWFiZ/T09Ph5uaGjh07wtbWtixCLXfkcjkiIyPRoUMHSKXS129A5YrO6i8zU3wbHBwMWFvrIDp6HV5/ho31Z/hYh4ap4C/pr6N1MhsXF1fiYApjb28PU1NTJCcnqyxPTk6Gs7OzWvnY2Fjcu3cP3bp1E5cVTBNmZmaG27dvw8vLS207mUwGmUymtlwqlRpdozbGcy6gUCpwOv7FsJRWNVrB1MTw5kQudf29tK1UKlX5TGWvrK6/itC2DYEx/35WFKxDw6JtXZV6zKwgCABe9MgWl7m5Ofz9/XHixAlxhgSlUokTJ05gzJgxauXr1q2La9euqSybPn06MjIysGLFCri5uRX/BMho5OTnoO22tgBePPLT2py9klQxsG0TkTHTejaDV23atAkNGzaEhYUFLCws0LBhQ2zcuLHY+wkLC8OGDRuwbds2/PPPPxg1ahQyMzMxZMgQAMDAgQPFG8QKjvPyy87ODpUqVULDhg1hbm5e0tMhIiIiIgNUop7ZmTNnYunSpRg7diyaN28OAIiOjsbEiRMRHx+PuXPnar2vvn374vHjx5g5cyaSkpLQpEkTREREiDeFxcfHw8SkxDk3EREREVVgJUpm16xZgw0bNiA0NFRc1r17dzRq1Ahjx44tVjILAGPGjNE4rAAAoqKiitx269atxToWEREREVUcJerylMvlCAgIUFvu7++P/Pz8UgdFRERERKSNEiWzAwYMwJo1a9SWr1+/Hv379y91UERERERE2ijxbAabNm3CsWPH0KxZMwDAuXPnEB8fj4EDB6rM6bp06dLSR0lEREREpEGJktnr16/Dz88PwIu5X4EXc8ba29vj+vXrYrmSTNdFVFakplIsDFoovieqKNi2iciYlSiZPXXqlK7jICpz5qbmmNxysr7DINI5tm0iMmac84qIiIiIDFaJemZzcnKwcuVKnDp1Co8ePRIfKVvg8uXLOgmOSJcUSgUuJ75om34ufnzkJ1UYbNtEZMxKlMwOGzYMx44dQ+/evREYGMixsWQQcvJzELgxEAAf+UkVC9s2ERmzEiWzv/76Kw4fPoyWLVvqOh4iIiIiIq2VaMxs9erVUalSJV3HQkRERERULCVKZpcsWYKpU6fi/v37uo6HiIiIiEhrJRpmEBAQgJycHNSsWRNWVlaQSlXnNUxNTdVJcERERERERSlRMhsaGoqEhATMnz8fTk5OvAGMiIiIiPSiRMns2bNnER0djcaNG+s6HiIiIiIirZUoma1bty6ys7N1HQtRmZKaSjGr9SzxPVFFwbZNRMasRMns119/jc8++wxfffUVfHx81MbM2tra6iQ4Il0yNzXH7Daz9R0Gkc6xbRORMStRMtupUycAQPv27VWWC4IAiUQChUJR+siIiIiIiF6jRMnsqVOndB0HUZlTCkr88/gfAEA9h3owkZRoZjqicodtm4iMWYmS2datWxe67vr16yUOhqgsZcuz0XBNQwB85CdVLGzbRGTMdPLf94yMDKxfvx6BgYGc4YCIiIiI3phSJbO///47Bg0aBBcXFyxevBjt2rXDn3/+qavYiIiIiIiKVOxhBklJSdi6dSs2bdqE9PR09OnTB7m5uThw4ADq169fFjESEREREWlUrJ7Zbt26oU6dOvj777+xfPlyPHz4ECtXriyr2IiIiIiIilSsntkjR45g3LhxGDVqFGrVqlVWMRERERERaaVYPbNnzpxBRkYG/P390bRpU6xatQopKSllFRsRERERUZGK1TPbrFkzNGvWDMuXL8fu3buxefNmhIWFQalUIjIyEm5ubqhUqVJZxUpUKlJTKSY1nyS+J6oo2LaJyJiVaJ5Za2trDB06FEOHDsXt27exadMmfP311/j888/RoUMHHDx4UNdxEpWauak5FnVcpO8wiHSObZuIjFmp55mtU6cOFi5ciP/++w8//vijLmIiIiIiItJKiXpmNTE1NUWPHj3Qo0cPXe2SSKeUghLxz+IBADUq1+AjP6nCYNsmImOms2SWqLzLlmfDc4UnAD7ykyoWtm0iMmb87zsRERERGSwms0RERERksJjMEhEREZHBYjJLRERERAaLySwRERERGSwms0RERERksDg1FxkNMxMzjA4YLb4nqijYtonImPFXj4yGzEyG1SGr9R0Gkc6xbRORMeMwAyIiIiIyWOyZJaMhCAJSslIAAPZW9pBIJHqOiEg32LaJyJgxmSWjkSXPguNiRwB85CdVLGzbRGTMOMyAiIiIiAwWk1kiIiIiMlhMZomIiIjIYDGZJSIiIiKDxWSWiIiIiAwWk1kiIiIiMlicmouMhpmJGQY1HiS+J6oo2LaJyJjxV4+MhsxMhq09tuo7DCKdY9smImPGYQZEREREZLDYM0tGQxAEZMmzAABWUis+8pMqDLZtIjJm7Jklo5Elz4LNAhvYLLAR/+EnqgjYtonImDGZJSIiIiKDxWSWiIiIiAwWk1kiIiIiMlhMZomIiIjIYDGZJSIiIiKDxWSWiIiIiAwW55klo2FqYore9XuL74kqCrZtIjJmTGbJaFiYWWDvB3v1HQaRzrFtE5Ex4zADIiIiIjJYTGaJiIiIyGAxmSWjkZmXCckcCSRzJMjMy9R3OEQ6w7ZNRMaMySwRERERGSwms0RERERksJjMEhEREZHBKhfJ7OrVq+Hh4QELCws0bdoU58+fL7Tshg0b0KpVK1SpUgVVqlRBUFBQkeWJiIiIqOLSezK7e/duhIWFYdasWbh8+TIaN26M4OBgPHr0SGP5qKgohIaG4tSpU4iOjoabmxs6duyIhISENxw5EREREemb3pPZpUuXYsSIERgyZAjq16+PtWvXwsrKCps3b9ZYfseOHRg9ejSaNGmCunXrYuPGjVAqlThx4sQbjpyIiIiI9E2vTwDLy8vDpUuXEB4eLi4zMTFBUFAQoqOjtdpHVlYW5HI5qlatWmiZ3Nxc5Obmip/T09MBAHK5HHK5vITRG5aC8zSW89VEqVCis1dn8b0hfRc6qz+5HNKX92lA34EhK+vrz5DbtiHg76fhYx0aJm3rSyIIglDGsRTq4cOHqF69Os6ePYvmzZuLy6dMmYLffvsN586de+0+Ro8ejaNHj+LGjRuwsLDQWGb27NmYM2eO2vKdO3fCysqq5CdAZGBMc3LQ9cMPAQC/7toFRSHXDBERkb5lZWWhX79+ePbsGWxtbQstp9ee2dL6+uuvsWvXLkRFRRWayAJAeHg4wsLCxM/p6eniWNuivpyKRC6XIzIyEh06dIBUKn39BlSu6Kz+Mv9vQv3g4GDA2loH0dHr8PozbKw/w8c6NEwFf0l/Hb0ms/b29jA1NUVycrLK8uTkZDg7Oxe57eLFi/H111/j+PHjaNSoUZFlZTIZZDKZ2nKpVGp0jdoYz7kiKXX9vbStVCpV+Uxlj9efYWP9GT7WoWHRtq70egOYubk5/P39VW7eKriZ6+VhB69auHAh5s2bh4iICAQEBLyJUKkCyMzLhPV8a1jPt+YjP6lCYdsmImOm92EGYWFhGDRoEAICAhAYGIjly5cjMzMTQ4YMAQAMHDgQ1atXx4IFCwAA33zzDWbOnImdO3fCw8MDSUlJAAAbGxvY2Njo7TzIMGTJs/QdAlGZYNsmImOl92S2b9++ePz4MWbOnImkpCQ0adIEERERcHJyAgDEx8fDxOT/OpDXrFmDvLw89O7dW2U/s2bNwuzZs99k6ERERESkZ3pPZgFgzJgxGDNmjMZ1UVFRKp/v3btX9gERERERkUHQ+0MTiIiIiIhKisksERERERksJrNEREREZLDKxZhZojfBRGKC1u6txfdEFQXbNhEZMyazZDQspZaIGhyl7zCIdI5tm4iMGf8LT0REREQGi8ksERERERksJrNkNDLzMuGwyAEOixz4yE+qUNi2iciYccwsGZWUrBR9h0BUJti2ichYsWeWiIiIiAwWk1kiIiIiMlhMZomIiIjIYDGZJSIiIiKDxWSWiIiIiAwWZzMgo2EiMUGAa4D4nqiiYNsmImPGZJaMhqXUEhdGXNB3GEQ6x7ZNRMaM/4UnIiIiIoPFZJaIiIiIDBaTWTIaWfIseCz3gMdyD2TJs/QdDpHOsG0TkTHjmFkyGoIg4P6z++J7ooqCbZuIjBl7ZomIiIjIYDGZJSIiIiKDxWSWiIiIiAwWk1kiIiIiMlhMZomIiIjIYHE2AzIaEokE9R3qi++JKgq2bSIyZkxmyWhYSa1wY/QNfYdBpHNs20RkzDjMgIiIiIgMFpNZIiIiIjJYTGbJaGTJs9DguwZo8F0DPvKTKhS2bSIyZhwzS0ZDEATcfHxTfE9UUbBtE5ExY88sERERERksJrNEREREZLCYzBIRERGRwWIyS0REREQGi8ksERERERkszmZARkMikcC9srv4nqiiYNsmImPGZJaMhpXUCvcm3NN3GEQ6x7ZNRMaMwwyIiIiIyGAxmSUiIiIig8VkloxGtjwbb294G29veBvZ8mx9h0OkM2zbRGTMOGaWjIZSUOLiw4vie6KKgm2biIwZe2aJiIiIyGAxmSUiIiIig8VkloiIiIgMFpNZIiIiIjJYTGaJiIiIyGBxNgMyKvZW9voOgahMsG0TkbFiMktGw9rcGo8nP9Z3GEQ6x7ZNRMaMwwyIiIiIyGAxmSUiIiIig8VkloxGtjwbbba2QZutbfjIT6pQ2LaJyJhxzCwZDaWgxG/3fxPfE1UUbNtEZMzYM0tEREREBovJLBEREREZLCazRERERGSwmMwSERERkcFiMktEREREBouzGZBRsZJa6TsEojLBtk1ExorJLBkNa3NrZE7L1HcYRDrHtk1ExozDDIiIiIjIYDGZJSIiIiKDxWSWjEZOfg5CdoYgZGcIcvJz9B0Okc6wbRORMeOYWTIaCqUCh+8cFt8TVRRs20RkzNgzS0REREQGi8ksERERERmscpHMrl69Gh4eHrCwsEDTpk1x/vz5Isvv3bsXdevWhYWFBXx8fHD48OE3FCkRERERlSd6T2Z3796NsLAwzJo1C5cvX0bjxo0RHByMR48eaSx/9uxZhIaGYtiwYbhy5Qp69OiBHj164Pr16284ciIiIiLSN70ns0uXLsWIESMwZMgQ1K9fH2vXroWVlRU2b96ssfyKFSvQqVMnTJ48GfXq1cO8efPg5+eHVatWveHIiYiIiEjf9DqbQV5eHi5duoTw8HBxmYmJCYKCghAdHa1xm+joaISFhaksCw4OxoEDBwo9Tm5uLnJzc8XPz549AwCkpqZCLpeX4gwMh1wuR1ZWFp48eQKpVKrvcPQiMy8T+P+zFj158gQ55oYzhZHO6i8zEwVby588AXIM5zswZGV9/Rly2zYE/P00fKxDw5SRkQEAEAShyHJ6TWZTUlKgUCjg5OSkstzJyQm3bt3SuE1SUpLG8klJSYUeZ8GCBZgzZ47ack9PzxJETRWB+9fu+g5B/9z5HVREbNtEVNFkZGSgcuXKha43inlmw8PDVXpzlUolUlNTUa1aNUgkEj1G9uakp6fDzc0NDx48gK2trb7DoWJi/Rk21p9hY/0ZPtahYRIEARkZGXB1dS2ynF6TWXt7e5iamiI5OVlleXJyMpydnTVu4+zsXKzyACCTySCTyVSW2dnZlSxoA2dra8sL2YCx/gwb68+wsf4MH+vQ8BTVI1tArzeAmZubw9/fHydOnBCXKZVKnDhxAs2bN9e4TfPmzVXKA0BkZGSh5YmIiIio4tL7MIOwsDAMGjQIAQEBCAwMxPLly5GZmYkhQ4YAAAYOHIjq1atjwYIFAIDx48ejdevWWLJkCUJCQrBr1y5cvHgR69ev1+dpEBEREZEe6D2Z7du3Lx4/foyZM2ciKSkJTZo0QUREhHiTV3x8PExM/q8DuUWLFti5cyemT5+OadOmoVatWjhw4AAaNmyor1MwCDKZDLNmzVIbbkGGgfVn2Fh/ho31Z/hYhxWbRHjdfAdEREREROWU3h+aQERERERUUkxmiYiIiMhgMZklIiIiIoPFZJaIiIiIDBaTWQP19ddfQyKRYMKECeKypKQkDBgwAM7OzrC2toafnx/279+vsl1qair69+8PW1tb2NnZYdiwYXj+/LlKmb///hutWrWChYUF3NzcsHDhwjdxSkZFU/3Fxsbi/fffh4ODA2xtbdGnTx+1B4Sw/vRn9uzZkEgkKq+6deuK63NycvDpp5+iWrVqsLGxQa9evdTqLz4+HiEhIbCysoKjoyMmT56M/Px8lTJRUVHw8/ODTCaDt7c3tm7d+iZOr8J7Xf2tX78ebdq0ga2tLSQSCdLS0tT2wetPf4qqv9TUVIwdOxZ16tSBpaUlatSogXHjxuHZs2cq++D1V3ExmTVAFy5cwLp169CoUSOV5QMHDsTt27dx8OBBXLt2DT179kSfPn1w5coVsUz//v1x48YNREZG4tdff8Xvv/+OkSNHiuvT09PRsWNHuLu749KlS1i0aBFmz57NeXx1SFP9ZWZmomPHjpBIJDh58iT++OMP5OXloVu3blAqlWI51p9+NWjQAImJieLrzJkz4rqJEyfil19+wd69e/Hbb7/h4cOH6Nmzp7heoVAgJCQEeXl5OHv2LLZt24atW7di5syZYpm4uDiEhISgbdu2uHr1KiZMmIDhw4fj6NGjb/Q8K6qi6i8rKwudOnXCtGnTCt2e159+FVZ/Dx8+xMOHD7F48WJcv34dW7duRUREBIYNGyZuy+uvghPIoGRkZAi1atUSIiMjhdatWwvjx48X11lbWwvff/+9SvmqVasKGzZsEARBEG7evCkAEC5cuCCuP3LkiCCRSISEhARBEAThu+++E6pUqSLk5uaKZaZOnSrUqVOnDM/KeBRWf0ePHhVMTEyEZ8+eiWXT0tIEiUQiREZGCoLA+tO3WbNmCY0bN9a4Li0tTZBKpcLevXvFZf/8848AQIiOjhYEQRAOHz4smJiYCElJSWKZNWvWCLa2tmJ9TZkyRWjQoIHKvvv27SsEBwfr+GyMT1H197JTp04JAISnT5+qLOf1p1/a1l+BPXv2CObm5oJcLhcEgddfRceeWQPz6aefIiQkBEFBQWrrWrRogd27dyM1NRVKpRK7du1CTk4O2rRpAwCIjo6GnZ0dAgICxG2CgoJgYmKCc+fOiWXeffddmJubi2WCg4Nx+/ZtPH36tGxPzggUVn+5ubmQSCQqE3pbWFjAxMRE7H1g/enfnTt34Orqipo1a6J///6Ij48HAFy6dAlyuVylXuvWrYsaNWogOjoawIu68fHxER8IA7yom/T0dNy4cUMs82rbCA4OFvdBpVNY/WmD15/+Faf+nj17BltbW5iZvXg2FK+/io3JrAHZtWsXLl++LD7a91V79uyBXC5HtWrVIJPJ8PHHH+Pnn3+Gt7c3gBdjah0dHVW2MTMzQ9WqVZGUlCSWefliByB+LihDJVNU/TVr1gzW1taYOnUqsrKykJmZiUmTJkGhUCAxMREA60/fmjZtKv75cs2aNYiLi0OrVq2QkZGBpKQkmJubw87OTmUbJyenYtVNYWXS09ORnZ1dRmdmHIqqP23w+tOv4tRfSkoK5s2bpzIEhNdfxab3x9mSdh48eIDx48cjMjISFhYWGsvMmDEDaWlpOH78OOzt7XHgwAH06dMHp0+fho+PzxuOmF72uvpzcHDA3r17MWrUKHz77bcwMTFBaGgo/Pz8VB7nTPrTuXNn8X2jRo3QtGlTuLu7Y8+ePbC0tNRjZKSNourv5bGVVD5pW3/p6ekICQlB/fr1MXv2bD1ESvrAZNZAXLp0CY8ePYKfn5+4TKFQ4Pfff8eqVatw+/ZtrFq1CtevX0eDBg0AAI0bN8bp06exevVqrF27Fs7Oznj06JHKfvPz85GamgpnZ2cAgLOzs9od2AWfC8pQ8b2u/nJzc9GxY0fExsYiJSUFZmZmsLOzg7OzM2rWrAkArL9yxs7ODrVr10ZMTAw6dOiAvLw8pKWlqfTOJicnq9TN+fPnVfbxat0UVn+2trZMmHXs5frTBq+/8kVT/WVkZKBTp06oVKkSfv75Z0ilUnEdr7+KjV0+BqJ9+/a4du0arl69Kr4CAgLQv39/XL16FVlZWQCg1otnamoq3g3fvHlzpKWl4dKlS+L6kydPQqlUomnTpmKZ33//HXK5XCwTGRmJOnXqoEqVKmV9mhXW6+rP1NRULGtvbw87OzucPHkSjx49Qvfu3QGw/sqb58+fIzY2Fi4uLvD394dUKsWJEyfE9bdv30Z8fDyaN28O4EXdXLt2TSUhioyMhK2tLerXry+WeXkfBWUK9kG683L9aYPXX/nyav0VzCRhbm6OgwcPqv0FjNdfBafvO9Co5F6+Gz4vL0/w9vYWWrVqJZw7d06IiYkRFi9eLEgkEuHQoUPiNp06dRJ8fX2Fc+fOCWfOnBFq1aolhIaGiuvT0tIEJycnYcCAAcL169eFXbt2CVZWVsK6deve9OlVeK/ORrF582YhOjpaiImJEbZv3y5UrVpVCAsLU9mG9ac/n332mRAVFSXExcUJf/zxhxAUFCTY29sLjx49EgRBED755BOhRo0awsmTJ4WLFy8KzZs3F5o3by5un5+fLzRs2FDo2LGjcPXqVSEiIkJwcHAQwsPDxTJ3794VrKyshMmTJwv//POPsHr1asHU1FSIiIh44+db0byu/hITE4UrV64IGzZsEAAIv//+u3DlyhXhyZMn4j54/elPUfX37NkzoWnTpoKPj48QExMjJCYmiq/8/HxBEHj9VXRMZg3Yq8nQv//+K/Ts2VNwdHQUrKyshEaNGqlN1fXkyRMhNDRUsLGxEWxtbYUhQ4YIGRkZKmX++usv4Z133hFkMplQvXp14euvv34Tp2N0Xq2/qVOnCk5OToJUKhVq1aolLFmyRFAqlSrbsP70p2/fvoKLi4tgbm4uVK9eXejbt68QExMjrs/OzhZGjx4tVKlSRbCyshLef/99ITExUWUf9+7dEzp37ixYWloK9vb2wmeffSZOHVTg1KlTQpMmTQRzc3OhZs2awpYtW97E6VV4r6u/WbNmCQDUXi9//7z+9Keo+iuYTk3TKy4uTtwHr7+KSyIIgqCfPmEiIiIiotLhmFkiIiIiMlhMZomIiIjIYDGZJSIiIiKDxWSWiIiIiAwWk1kiIiIiMlhMZomIiIjIYDGZJSIiIiKDxWSWiIiIiAwWk1kiIiMye/ZsNGnSpNT7ycvLg7e3N86ePVv6oF4SERGBJk2aQKlU6nS/RFRxMZklIqM0ePBgSCQStVdMTIy+QytTkyZNwokTJ0q9n7Vr18LT0xMtWrQQl0kkEhw4cECt7ODBg9GjRw+t9tupUydIpVLs2LGj1DESkXFgMktERqtTp05ITExUeXl6eqqVy8vL00N0ZcPGxgbVqlUr1T4EQcCqVaswbNgwHUWlavDgwfj222/LZN9EVPEwmSUioyWTyeDs7KzyMjU1RZs2bTBmzBhMmDAB9vb2CA4OBgBcv34dnTt3ho2NDZycnDBgwACkpKSI+1MqlVi4cCG8vb0hk8lQo0YNfPXVVwCAqKgoSCQSpKWlieWvXr0KiUSCe/fuicvOnDmDVq1awdLSEm5ubhg3bhwyMzPF9R4eHpg/fz6GDh2KSpUqoUaNGli/fr3Kef33338IDQ1F1apVYW1tjYCAAJw7dw6A+jCDCxcuoEOHDrC3t0flypXRunVrXL58ucjv7dKlS4iNjUVISEixvm8AuHfvnsYe8TZt2ohlunXrhosXLyI2NrbY+yci48NklohIg23btsHc3Bx//PEH1q5di7S0NLRr1w6+vr64ePEiIiIikJycjD59+ojbhIeH4+uvv8aMGTNw8+ZN7Ny5E05OTlofMzY2Fp06dUKvXr3w999/Y/fu3Thz5gzGjBmjUm7JkiUICAjAlStXMHr0aIwaNQq3b98GADx//hytW7dGQkICDh48iL/++gtTpkwpdAxqRkYGBg0ahDNnzuDPP/9ErVq10KVLF2RkZBQa5+nTp1G7dm1UqlRJ63Mr4ObmptITfuXKFVSrVg3vvvuuWKZGjRpwcnLC6dOni71/IjJCAhGRERo0aJBgamoqWFtbi6/evXsLgiAIrVu3Fnx9fVXKz5s3T+jYsaPKsgcPHggAhNu3bwvp6emCTCYTNmzYoPF4p06dEgAIT58+FZdduXJFACDExcUJgiAIw4YNE0aOHKmy3enTpwUTExMhOztbEARBcHd3Fz766CNxvVKpFBwdHYU1a9YIgiAI69atEypVqiQ8efJEYxyzZs0SGjduXOj3olAohEqVKgm//PJLoWXGjx8vtGvXTm05AMHCwkLlO7W2thbMzMyE9957T618dna20LRpU6Fr166CQqFQWefr6yvMnj270BiIiAqY6TeVJiLSn7Zt22LNmjXiZ2tra/G9v7+/Stm//voLp06dgo2Njdp+YmNjkZaWhtzcXLRv377E8fz111/4+++/VW5+EgQBSqUScXFxqFevHgCgUaNG4nqJRAJnZ2c8evQIwIuhC76+vqhatapWx0xOTsb06dMRFRWFR48eQaFQICsrC/Hx8YVuk52dDQsLC43rli1bhqCgIJVlU6dOhUKhUCs7dOhQZGRkIDIyEiYmqn8otLS0RFZWllbnQETGjcksERkta2treHt7F7ruZc+fP0e3bt3wzTffqJV1cXHB3bt3izxWQbImCIK4TC6Xqx3j448/xrhx49S2r1GjhvheKpWqrJNIJOIwAktLyyLjeNWgQYPw5MkTrFixAu7u7pDJZGjevHmRN73Z29vj2rVrGtc5OzurfaeVKlVSGSsMAF9++SWOHj2K8+fPaxyukJqaCgcHh2KdCxEZJyazRERa8PPzw/79++Hh4QEzM/Wfzlq1asHS0hInTpzA8OHD1dYXJGaJiYmoUqUKgBe9qK8e4+bNm4Um2Npo1KgRNm7ciNTUVK16Z//44w9899136NKlCwDgwYMHKje1aeLr64s1a9ZAEARIJJJix7h//37MnTsXR44cgZeXl9r6nJwcxMbGwtfXt9j7JiLjwxvAiIi08OmnnyI1NRWhoaG4cOECYmNjcfToUQwZMgQKhQIWFhaYOnUqpkyZgu+//x6xsbH4888/sWnTJgCAt7c33NzcMHv2bNy5cweHDh3CkiVLVI4xdepUnD17FmPGjMHVq1dx584d/O9//1O7AawooaGhcHZ2Ro8ePfDHH3/g7t272L9/P6KjozWWr1WrFrZv345//vkH586dQ//+/V/bu9u2bVs8f/4cN27c0DquAtevX8fAgQMxdepUNGjQAElJSUhKSkJqaqpY5s8//xR7iImIXofJLBGRFlxdXfHHH39AoVCgY8eO8PHxwYQJE2BnZycOIZgxYwY+++wzzJw5E/Xq1UPfvn3FsaxSqRQ//vgjbt26hUaNGuGbb77Bl19+qXKMRo0a4bfffsO///6LVq1awdfXFzNnzoSrq6vWcZqbm+PYsWNwdHREly5d4OPjg6+//hqmpqYay2/atAlPnz6Fn58fBgwYgHHjxsHR0bHIY1SrVg3vv/9+iR5scPHiRWRlZeHLL7+Ei4uL+OrZs6dY5scff0T//v1hZWVV7P0TkfGRCC8P4CIiItLC33//jQ4dOiA2NlbjTXEllZKSgjp16uDixYsaH2BBRPQqJrNERFQiW7duhb+/P3x8fHS2z4KHJfTt21dn+ySiio3JLBEREREZLI6ZJSIiIiKDxWSWiIiIiAwWk1kiIiIiMlhMZomIiIjIYDGZJSIiIiKDxWSWiIiIiAwWk1kiIiIiMlhMZomIiIjIYDGZJSIiIiKD9f8AlI7OuC32RE4AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Frecuencia de corte superior e inferior:\n",
    "f_corte_sup = round(f_corte_sup,0)\n",
    "f_corte_inf = round(f_corte_inf,0)\n",
    "''' # Usando los valores de Pablo\n",
    "f_corte_sup = 5018\n",
    "f_corte_inf = 4873\n",
    "'''\n",
    "''' # Usando la frecuencia rara de la libreta\n",
    "f_corte_inf = 4876.7\n",
    "f_corte_sup = f_0_exp*2-f_corte_inf\n",
    "'''\n",
    "\n",
    "# Calcular el ancho de banda:\n",
    "B = f_corte_sup - f_corte_inf\n",
    "s_B = s_f_exp*np.sqrt(2)\n",
    "print(\"Ancho de banda (B):\", round(B, 1), \"+-\", round(s_B,0) , \"Hz\")\n",
    "\n",
    "# Calcular el factor de calidad:\n",
    "Q_exp = f_0_exp / B\n",
    "s_Q_exp = sqrt(s_f_exp**2 * (1/B)**2 + s_B**2 * (f_0_exp/(B**2))**2)\n",
    "print(\"Factor de calidad experimental (Q_exp):\", round(Q_exp, 1), \"+-\", round(s_Q_exp, 1))\n",
    "\n",
    "#------------------------------------------------------\n",
    "# Ahora calcular Q teórica:\n",
    "w_0 = f_0_exp * 2 * np.pi\n",
    "\n",
    "Q_0 = w_0*R*C_2*((C_1+C_2)/C_1)\n",
    "Q_m = R_m/(w_0*L)\n",
    "Q_L = (w_0*L)/R_L\n",
    "\n",
    "Q_teo = 1/(1/Q_0 + 1/Q_m + 1/Q_L)\n",
    "print(\"Factor de calidad teórico (Q_teo):\", round(Q_teo, 1))\n",
    "\n",
    "#------------------------------------------------------\n",
    "# Ahora calcular Q teórica con f_teo:\n",
    "Q_teo_2 = f_0_teo / B\n",
    "s_Q_teo_2 = sqrt(s_f0_teo**2 * (1/B)**2 + s_B**2 * (f_0_teo/(B**2))**2)\n",
    "print(\"Factor de calidad teorico (Q_teo_2):\", round(Q_teo_2, 1), \"+-\", round(s_Q_teo_2, 1))\n",
    "\n",
    "# Opcional: Graficar las frecuencias de corte y la frecuencia de resonancia\n",
    "plt.figure(figsize=(8, 5))\n",
    "plt.axvline(f_corte_sup, color='g', linestyle='--', label=f\"f(+45°) = {f_corte_sup} Hz\")\n",
    "plt.axvline(f_corte_inf, color='g', linestyle='--', label=f\"f(-45°) = {f_corte_inf} Hz\")\n",
    "plt.axvline(f_0_exp, color='r', linestyle='-', label=f\"f0_exp = {f_0_exp} Hz\")\n",
    "plt.xlabel(\"Frecuencia (Hz)\")\n",
    "plt.ylabel(\"Amplitud (simbólica)\")\n",
    "plt.title(\"Frecuencias de corte y frecuencia de resonancia\")\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Coeficientes de Fourier señal Cuadrada"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 393,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "b_1 = 6.42 ± 0.13\n",
      "b_3 = 2.12 ± 0.03\n",
      "b_5 = 1.27 ± 0.01\n"
     ]
    }
   ],
   "source": [
    "# Datos de la onda cuadrada (n, f, V1, V2)\n",
    "'''\n",
    "#set_cuadrada = np.array([[1, 4916.8, 10.08, 12.08], \n",
    "                         [3, 1634.1, 10.00, 4.00], \n",
    "                         [5, 954.0, 10.00, 1.50]])\n",
    "'''\n",
    "# Extraemos V1 y los armónicos n\n",
    "n_values = set_cuadrada[:, 0]  # Armónicos\n",
    "V1_values = set_cuadrada[:, 2]*0.5  # Valores de V1\n",
    "\n",
    "# Calculamos los coeficientes de Fourier\n",
    "b_n = (4 * V1_values) / (np.pi * n_values)\n",
    "\n",
    "# Suponemos una incertidumbre relativa en V1 del 3% (ajustable según datos experimentales)\n",
    "#s_V1 = 0.03 * V1_values  \n",
    "s_V1 = 0.1\n",
    "\n",
    "# Calculamos la incertidumbre s(b_n) según la fórmula de la imagen\n",
    "s_b_n = (4 / ((2 * n_values - 1) * np.pi))* s_V1\n",
    "\n",
    "# Mostramos los resultados\n",
    "for i in range(len(n_values)):\n",
    "    print(f\"b_{int(n_values[i])} = {b_n[i]:.2f} ± {s_b_n[i]:.2f}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 394,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_fourier_coefficients(n_values, b_n, s_b_n, f_0):\n",
    "    \"\"\"\n",
    "    Grafica los coeficientes de Fourier con sus incertidumbres y la curva teórica.\n",
    "    \n",
    "    Parámetros:\n",
    "    n_values : array -> Valores de los armónicos n\n",
    "    b_n : array -> Coeficientes b_n calculados\n",
    "    s_b_n : array -> Incertidumbre en b_n\n",
    "    f_0 : float -> Frecuencia fundamental del sistema\n",
    "    \"\"\"\n",
    "    # Valores teóricos de b_n en un rango continuo\n",
    "    n_teo = np.linspace(1, max(n_values) + 1, 100)\n",
    "    #b_teo = (4 * b_n[0]) / (np.pi * n_teo)  # Función teórica\n",
    "    b_teo = (4 * ((20+10.08)/6)) / (np.pi * n_teo)\n",
    "    \n",
    "    # Crear la figura\n",
    "    plt.figure(figsize=(6,4))\n",
    "\n",
    "    # Graficar los coeficientes de Fourier con barras de error\n",
    "    plt.errorbar(n_values, b_n, yerr=s_b_n, fmt='o', color='red', capsize=5, label=\"Coeficientes b_n\")\n",
    "\n",
    "    # Graficar la curva teórica en azul\n",
    "    plt.plot(n_teo, b_teo, 'b-', label=r'$b_n = \\frac{4V_1}{\\pi n}$')\n",
    "\n",
    "    # Configurar etiquetas\n",
    "    plt.xlabel(r'$n$ (armónico)')\n",
    "    plt.ylabel(r'$b_n$ (amplitud)')\n",
    "    plt.legend()\n",
    "    plt.grid(True)\n",
    "\n",
    "    # Mostrar la gráfica\n",
    "    plt.show()\n",
    "\n",
    "# Llamar a la función con los valores ya calculados\n",
    "plot_fourier_coefficients(n_values, b_n, s_b_n, f_0_exp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Grafico señal cuadrada"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 395,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Definimos la función de la serie de Fourier para la señal cuadrada\n",
    "def fourier_series_square_wave(t, V, f, n_terms):\n",
    "    \"\"\"\n",
    "    Calcula la serie de Fourier de una onda cuadrada.\n",
    "\n",
    "    Parámetros:\n",
    "    t : array -> Valores de tiempo\n",
    "    V : float -> Amplitud de la señal cuadrada\n",
    "    f : float -> Frecuencia fundamental\n",
    "    n_terms : int -> Número de términos a incluir en la serie de Fourier\n",
    "\n",
    "    Retorna:\n",
    "    f_t : array -> Valores de la serie de Fourier evaluada en t\n",
    "    \"\"\"\n",
    "    w = 2 * np.pi * f  # Frecuencia angular\n",
    "    f_t = np.zeros_like(t)  # Inicializamos la función\n",
    "\n",
    "    for k in range(1, n_terms + 1, 2):  # Solo tomamos términos impares (1,3,5,...)\n",
    "        f_t += (4 * V/2 / (k * np.pi)) * np.sin(k * w * t)\n",
    "\n",
    "    return f_t\n",
    "\n",
    "# Parámetros de la señal (extraídos de los datos)\n",
    "V = 10/2  # Amplitud V_1 tomada como ejemplo\n",
    "f = 4916.8  # Frecuencia fundamental\n",
    "\n",
    "# Rango de tiempo\n",
    "t = np.linspace(0, 2 / f, 1000)  # Un periodo con 1000 puntos\n",
    "\n",
    "# Cálculo de la serie de Fourier con diferentes números de términos\n",
    "f_3_terms = fourier_series_square_wave(t, V, f, 5)  # Armónicos 1,3,5\n",
    "f_1000_terms = fourier_series_square_wave(t, V, f, 10000)  # Aproximación más precisa\n",
    "\n",
    "# Graficamos los resultados\n",
    "plt.figure(figsize=(8,5))\n",
    "plt.plot(t, f_3_terms, label=\"3 términos\", color='blue')\n",
    "plt.plot(t, f_1000_terms, color='orange')\n",
    "plt.xlabel(\"t\")\n",
    "plt.ylabel(\"f(t)\")\n",
    "plt.title(\"Representación gráfica de la serie de Fourier\")\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Coeficientes de Fourier señal Triangular"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 396,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a_1 = 4.05 ± 0.08\n",
      "a_3 = 0.45 ± 0.00\n",
      "a_5 = 0.16 ± 0.00\n"
     ]
    }
   ],
   "source": [
    "# Datos de la onda cuadrada (n, f, V1, V2)\n",
    "\n",
    "# Extraemos V1 y los armónicos n\n",
    "n_values = set_triangular[:, 0]  # Armónicos\n",
    "V1_values = set_triangular[:, 2]*0.5  # Valores de V1\n",
    "\n",
    "# Calculamos los coeficientes de Fourier\n",
    "a_n = (8 * V1_values) / (np.pi**2 * n_values**2)\n",
    "\n",
    "# Suponemos una incertidumbre relativa en V1 del 3% (ajustable según datos experimentales)\n",
    "#s_V1 = 0.03 * V1_values  \n",
    "s_V1 = 0.1\n",
    "\n",
    "# Calculamos la incertidumbre s(b_n) según la fórmula de la imagen\n",
    "s_a_n = (8 / ((2 * n_values - 1)**2 * np.pi**2))* s_V1\n",
    "\n",
    "# Mostramos los resultados\n",
    "for i in range(len(n_values)):\n",
    "    print(f\"a_{int(n_values[i])} = {a_n[i]:.2f} ± {s_a_n[i]:.2f}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 397,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_fourier_coefficients(n_values, b_n, s_b_n, f_0):\n",
    "    \"\"\"\n",
    "    Grafica los coeficientes de Fourier con sus incertidumbres y la curva teórica.\n",
    "    \n",
    "    Parámetros:\n",
    "    n_values : array -> Valores de los armónicos n\n",
    "    b_n : array -> Coeficientes b_n calculados\n",
    "    s_b_n : array -> Incertidumbre en b_n\n",
    "    f_0 : float -> Frecuencia fundamental del sistema\n",
    "    \"\"\"\n",
    "    # Valores teóricos de b_n en un rango continuo\n",
    "    n_teo = np.linspace(1, max(n_values) + 1, 100)\n",
    "    #b_teo = (4 * b_n[0]) / (np.pi * n_teo)  # Función teórica\n",
    "    a_teo = (8 * ((20+10.08)/6)) / (np.pi**2 * n_teo**2)\n",
    "    \n",
    "    # Crear la figura\n",
    "    plt.figure(figsize=(6,4))\n",
    "\n",
    "    # Graficar los coeficientes de Fourier con barras de error\n",
    "    plt.errorbar(n_values, a_n, yerr=s_a_n, fmt='o', color='red', capsize=5, label=\"Coeficientes a_n\")\n",
    "\n",
    "    # Graficar la curva teórica en azul\n",
    "    plt.plot(n_teo, a_teo, 'b-', label=r'$a_n = \\frac{8V_1}{\\pi^2 n^2}$')\n",
    "\n",
    "    # Configurar etiquetas\n",
    "    plt.xlabel(r'$n$ (armónico)')\n",
    "    plt.ylabel(r'$a_n$ (amplitud)')\n",
    "    plt.legend()\n",
    "    plt.grid(True)\n",
    "\n",
    "    # Mostrar la gráfica\n",
    "    plt.show()\n",
    "\n",
    "# Llamar a la función con los valores ya calculados\n",
    "plot_fourier_coefficients(n_values, a_n, s_a_n, f_0_exp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 398,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Definimos la función de la serie de Fourier para la señal triangular\n",
    "def fourier_series_triangular_wave(t, V, f, n_terms):\n",
    "    \"\"\"\n",
    "    Calcula la serie de Fourier de una onda triangular.\n",
    "\n",
    "    Parámetros:\n",
    "    t : array -> Valores de tiempo\n",
    "    V : float -> Amplitud de la señal triangular\n",
    "    f : float -> Frecuencia fundamental\n",
    "    n_terms : int -> Número de términos a incluir en la serie de Fourier\n",
    "\n",
    "    Retorna:\n",
    "    f_t : array -> Valores de la serie de Fourier evaluada en t\n",
    "    \"\"\"\n",
    "    w = 2 * np.pi * f  # Frecuencia angular\n",
    "    f_t = np.zeros_like(t)  # Inicializamos la función\n",
    "\n",
    "    for k in range(1, n_terms + 1, 2):  # Solo tomamos términos impares (1,3,5,...)\n",
    "        f_t += (8 * V/2 / ((k**2) * np.pi**2)) * np.cos(k * w * t)\n",
    "\n",
    "    return f_t\n",
    "\n",
    "# Parámetros de la señal (extraídos de los datos)\n",
    "V = 10  # Amplitud (V_1)\n",
    "f = 4916.8  # Frecuencia fundamental\n",
    "\n",
    "# Rango de tiempo\n",
    "t = np.linspace(0, 2 / f, 1000)  # Un periodo con 1000 puntos\n",
    "\n",
    "# Cálculo de la serie de Fourier con diferentes números de términos\n",
    "f_3_terms = fourier_series_triangular_wave(t, V, f, 5)  # Armónicos 1,3,5\n",
    "f_1000_terms = fourier_series_triangular_wave(t, V, f, 1000)  # Aproximación más precisa\n",
    "\n",
    "# Graficamos los resultados\n",
    "plt.figure(figsize=(8,5))\n",
    "plt.plot(t, f_3_terms, label=\"3 términos\", color='blue')\n",
    "plt.plot(t, f_1000_terms, color='orange', alpha=0.7)\n",
    "plt.xlabel(\"t\")\n",
    "plt.ylabel(\"f(t)\")\n",
    "plt.title(\"Representación gráfica de la serie de Fourier señal triangular\")\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pulso"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 399,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a_n: [0.76172479 0.44170857 0.15398647 0.01227882 0.00600861]\n",
      "Incertidumbre a_n: [427.33578993  98.08766435 149.34856479  45.39575941  22.95121765]\n"
     ]
    }
   ],
   "source": [
    "n_values = set_rectificador[:, 0]  # Armónicos\n",
    "f_values = set_rectificador[:, 1] # Frecuencias\n",
    "V_values = set_rectificador[:, 2] # Valores de V_salida\n",
    "a_values = set_rectificador[:, 3]*0.5 # Valores de a\n",
    "\n",
    "V_entrada = 2.00\n",
    "V_values = V_entrada\n",
    "\n",
    "# Tolerancias\n",
    "s_a = 2e-6\n",
    "s_V = 0.01\n",
    "s_invf = 1/s_f_exp\n",
    "\n",
    "# Calculamos a_n\n",
    "a_n= ((V_values)/(a_values*n_values**2*np.pi**2*f_values))*(1-np.cos(n_values*np.pi*2*a_values*f_values))\n",
    "\n",
    "# Calculamos la incertidumbre\n",
    "# s(a_n)=\\sqrt{s(V)^2·(\\frac{1}{f·a·n^2·\\pi^2}·(1-cos(2·n·\\pi·a·f)))^2+\n",
    "# s(\\frac{1}{f})^2·(\\frac{V}{a·n^2·\\pi^2}·(1-cos(2·n·\\pi·a·f))+\\frac{V}{f·a·n^2·\\pi^2}·(sen(2·n·\\pi·a·f)·(-2·n·\\pi·a·f^2)))^2+\n",
    "# s(a)^2·(\\frac{-V}{f·a^2·n^2·\\pi^2}·(1-cos(2·n·\\pi·a·f))+\\frac{V}{f·a·n^2·\\pi^2}·(sen(2·n·\\pi·a·f)·(2·n·\\pi·f)))^2}\n",
    "term_V = (1 / (f_values * a_values * n_values**2 * np.pi**2)) * (1 - np.cos(2 * n_values * np.pi * a_values * f_values))\n",
    "\n",
    "term_invf = (V_values / (a_values * n_values**2 * np.pi**2)) * (1 - np.cos(2 * n_values * np.pi * a_values * f_values)) \\\n",
    "    + (V_values / (f_values * a_values * n_values**2 * np.pi**2)) * ( np.sin(2 * n_values * np.pi * a_values * f_values) * (-2 * n_values * np.pi * a_values * f_values**2) )\n",
    "\n",
    "term_a = (-V_values / (f_values * a_values**2 * n_values**2 * np.pi**2)) * (1 - np.cos(2 * n_values * np.pi * a_values * f_values)) \\\n",
    "    + (V_values / (f_values * a_values * n_values**2 * np.pi**2)) * ( np.sin(2 * n_values * np.pi * a_values * f_values) * (2 * n_values * np.pi * f_values) )\n",
    "\n",
    "# Propagación de incertidumbre:\n",
    "s_a_n = np.sqrt((s_V * term_V)**2 + (s_invf * term_invf)**2 + (s_a * term_a)**2)\n",
    "\n",
    "print(\"a_n:\", a_n)\n",
    "print(\"Incertidumbre a_n:\", s_a_n)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 400,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def an_theoretical(n, V, a, f):\n",
    "    \"\"\"\n",
    "    Calcula el coeficiente a_n teórico:\n",
    "      a_n = (V / (a * n^2 * pi^2 * f)) * (1 - cos(2 * n * pi * a * f))\n",
    "    \"\"\"\n",
    "    return (V / (a * n**2 * np.pi**2 * f)) * (1 - np.cos(2 * n * np.pi * a * f))\n",
    "\n",
    "def plot_an_comparison(n_exp, an_exp, V, a, f):\n",
    "    \"\"\"\n",
    "    Genera una gráfica comparando los valores experimentales de a_n\n",
    "    con la curva teórica.\n",
    "\n",
    "    Parámetros:\n",
    "    -----------\n",
    "    n_exp  : array-like\n",
    "        Lista de armónicos experimentales (ej. [1,2,3,4,5])\n",
    "    an_exp : array-like\n",
    "        Valores experimentales de a_n (ej. [1.2568, 0.4704, 0.0631, ...])\n",
    "    V, a, f: floats\n",
    "        Parámetros para la fórmula teórica de a_n\n",
    "    \"\"\"\n",
    "\n",
    "    # Creamos un rango de n para la curva teórica (1 a 6 con paso 0.01, por ejemplo)\n",
    "    n_teo = np.linspace(1, 6, 200)\n",
    "\n",
    "    # Calculamos a_n teóricos para ese rango\n",
    "    an_teo = an_theoretical(n_teo, V, a, f)\n",
    "\n",
    "    # Iniciamos figura\n",
    "    plt.figure(figsize=(7,5))\n",
    "\n",
    "    # Graficamos la curva teórica en azul\n",
    "    plt.plot(n_teo, an_teo, 'b-', label='Teórico')\n",
    "\n",
    "    # Graficamos los datos experimentales como barras (o puntos)\n",
    "    # Opcional 1: Barras verticales\n",
    "    width = 0.2  # grosor de las barras\n",
    "    plt.bar(n_exp, an_exp, width=width, color='red', alpha=0.7, label='Experimental')\n",
    "\n",
    "    # Opcional 2 (en vez de barras, usar puntos):\n",
    "    # plt.scatter(n_exp, an_exp, color='red', label='Experimental', zorder=3)\n",
    "\n",
    "    plt.xlabel(\"n (armónico)\")\n",
    "    plt.ylabel(\"a_n (amplitud)\")\n",
    "    plt.title(\"Comparación de coeficientes a_n teóricos vs. experimentales\")\n",
    "    plt.grid(True)\n",
    "    plt.legend()\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "# --------------------------\n",
    "# EJEMPLO DE USO:\n",
    "# --------------------------\n",
    "\n",
    "# Datos experimentales:\n",
    "n_values = np.array([1, 2, 3, 4, 5])  # Armónicos\n",
    "an_exp = a_n\n",
    "\n",
    "# Parámetros para la fórmula teórica:\n",
    "V = 2        # Voltaje de entrada\n",
    "a = 91e-6 / 2  # Ejemplo: si en tu fila n=1 tienes 2*a = 91e-6\n",
    "f = 4964.8     # Frecuencia correspondiente al pulso n=1, por ejemplo\n",
    "\n",
    "# Llamamos a la función para generar la gráfica\n",
    "plot_an_comparison(n_values, an_exp, V, a, f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 401,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Datos experimentales: cada fila es [n, f, V, 2*a]\n",
    "data = np.array([\n",
    "    [1, 4964.8, 3.30,   91.00e-6],\n",
    "    [2, 2488.3, 2.13,  179.00e-6],\n",
    "    [3, 1664.4, 0.820, 266.00e-6],\n",
    "    [4, 1247.6, 0.133, 358.00e-6],\n",
    "    [5,  997.1, 0.064, 438.0e-6]\n",
    "])\n",
    "# Parámetro de voltaje constante para la función:\n",
    "V_salida = 2.0\n",
    "\n",
    "# Extraer f y a de los datos\n",
    "f_values = data[:, 1]\n",
    "two_a = data[:, 3]\n",
    "a_values = two_a / 2\n",
    "\n",
    "# Valores representativos (promedio)\n",
    "f_mean = np.mean(f_values)\n",
    "a_mean = np.mean(a_values)\n",
    "\n",
    "# Término constante de la función: V * a * f\n",
    "const_term = V_salida * a_mean * f_mean\n",
    "\n",
    "def fourier_series(t, Nmax, V, a, f):\n",
    "    \"\"\"\n",
    "    Calcula la función f(t) definida por la serie de Fourier:\n",
    "      f(t) = V*a*f + sum_{n=1}^{Nmax} { V/(f*a*n^2*pi^2) * [1-cos(2*pi*n*a*f)] * cos(2*pi*n*t*f) }\n",
    "    Parámetros:\n",
    "      t    : Array de tiempos.\n",
    "      Nmax : Número máximo de términos de la suma.\n",
    "      V, a, f : Parámetros de la función.\n",
    "    \"\"\"\n",
    "    series = np.full_like(t, const_term)\n",
    "    n = np.arange(1, Nmax+1)\n",
    "    a_n = V / (f * a * n**2 * np.pi**2) * (1 - np.cos(2 * n * np.pi * a * f))\n",
    "    series += np.sum(a_n[None, :] * np.cos(2 * np.pi * n[None, :] * t[:, None] * f), axis=1)\n",
    "    return series\n",
    "\n",
    "# Definir eje temporal; se usará un rango amplio para observar bien la función.\n",
    "t = np.linspace(0, 0.0008, 1000)\n",
    "\n",
    "# Calcular la función para Nmax=5 y Nmax=1000\n",
    "f_5 = fourier_series(t, 5, V_salida, a_mean, f_mean)\n",
    "f_1000 = fourier_series(t, 1000, V_salida, a_mean, f_mean)\n",
    "\n",
    "# Representación gráfica\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.plot(t, f_5, label='Serie de Fourier (N=5)')\n",
    "plt.plot(t, f_1000, label='Señal triangular Rectificada (Pulso)', linestyle='--')\n",
    "plt.xlabel('Tiempo (s)')\n",
    "plt.ylabel('f(t)')\n",
    "plt.xlim(0, 0.0008)\n",
    "plt.legend()\n",
    "plt.title('Aproximación de la función mediante serie de Fourier')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Otros"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Análisis señal cuadrada. Comparamos amplitudes teóricas y experimentales para la onda cuadrada. En este tipo de onda (función impar), el desarrollo en serie de Fourier solo incluye los armónicos impares y el coeficiente teórico tal que $$b_n=\\frac{4·V_1}{n·\\pi}$$ $b_n$ debe ser equivalente (en teoría) con el $V_2$ medido para cada n."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 402,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Datos para la onda cuadrada:\n",
      "Armónico 1: f = 4916.8 Hz, V1 = 10.08 V, V2 (exp) = 12.08 V, V2 (teo) = 12.83 V\n",
      "Armónico 3: f = 1634.1 Hz, V1 = 10.00 V, V2 (exp) = 4.00 V, V2 (teo) = 4.24 V\n",
      "Armónico 5: f = 954.0 Hz, V1 = 10.00 V, V2 (exp) = 1.50 V, V2 (teo) = 2.55 V\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Extraer columnas del set de datos de onda cuadrada:\n",
    "n_cuadrada = set_cuadrada[:, 0]\n",
    "f_cuadrada = set_cuadrada[:, 1]\n",
    "V1_cuadrada = set_cuadrada[:, 2]\n",
    "V2_cuadrada = set_cuadrada[:, 3]\n",
    "\n",
    "# Calcular la amplitud teórica para la onda cuadrada:\n",
    "# bn = 4*V1 / (n*pi)\n",
    "bn_teo_cuadrada = 4 * V1_cuadrada / (n_cuadrada * np.pi)\n",
    "\n",
    "# Mostrar los resultados:\n",
    "print(\"Datos para la onda cuadrada:\")\n",
    "for i in range(len(n_cuadrada)):\n",
    "    print(f\"Armónico {int(n_cuadrada[i])}: f = {f_cuadrada[i]:.1f} Hz, V1 = {V1_cuadrada[i]:.2f} V, V2 (exp) = {V2_cuadrada[i]:.2f} V, V2 (teo) = {bn_teo_cuadrada[i]:.2f} V\")\n",
    "\n",
    "# Graficar la comparación entre las amplitudes teóricas y experimentales:\n",
    "plt.figure(figsize=(8, 5))\n",
    "plt.plot(n_cuadrada, bn_teo_cuadrada, 'o-', label='Teórico')\n",
    "plt.plot(n_cuadrada, V2_cuadrada, 's-', label='Experimental')\n",
    "plt.xlabel(\"Número de armónico (n)\")\n",
    "plt.ylabel(\"Amplitud (V)\")\n",
    "plt.title(\"Comparación de amplitudes en onda cuadrada\")\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Análisis señal triangular. Función par, por lo que el desarrollo de Fourier contiene solo los coeficientes $a_n$ y estos se calculan, para los armónicos impares, como: $$a_n=\\frac{8·V_1}{(n·\\pi)^2}$$ Y comparamos los $a_n$ teóricos con los $V_2$ experimentales."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 403,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Datos para la onda triangular:\n",
      "Armónico 1: f = 4928.6 Hz, V1 = 10.00 V, V2 (exp) = 8.3200 V, V2 (teo) = 8.1057 V\n",
      "Armónico 3: f = 1661.4 Hz, V1 = 10.00 V, V2 (exp) = 1.1700 V, V2 (teo) = 0.9006 V\n",
      "Armónico 5: f = 997.1 Hz, V1 = 9.84 V, V2 (exp) = 0.4840 V, V2 (teo) = 0.3190 V\n"
     ]
    },
    {
     "data": {
      "image/png": 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guJN1XOTGbrfz/vvv8+GHH7Jnzx6n4rBMmTIu8fk5Dux2O/Hx8U7bqVWrlss2a9euTXJyMsePH6dcuXIXzbcg7du3j5o1a7ocW7m1cXR0dK7bio+Pp1SpUrz55ptER0cTFRVFixYt6NGjB0OHDnU59nM6fvw4Z86cYdKkSbmOmBEXF+f0/HKOq+PHj5OcnOzy/sBx/Nrtdg4cOJB9iTov+8k63i/8XCMiIpz+IIP8H2v5ldv3wYX++usvXnzxRZYvX05ycrLTa/Hx8dnHNLi+f3C0Qc523rdvn9Mf7Vku/G69Uvv37+eFF17gq6++cvmcLyyofXx8qFSpUoHuX4oPFaZSJISEhFChQgU2b96cr5/L6+DTFoslX+uNi/Txys0ff/zBLbfcwg033MCHH35I+fLlsVqtTJ06ldmzZ7vEu+tvmd9tFLaCbB93ss7UzZgxw21Rd6k7kl999VWef/55hg8fzssvv0zp0qUxm82MGjXK7Y1WnjgOrlRux3RmZmaueV5MVju89dZbuQ5NFRQUBED//v1p164dixYt4scff+Stt97ijTfeYOHChbkOK5a1/cGDB+da/DZu3NjpuafauyD3k99jLb/cfR9caNeuXXTq1Im6desybtw4oqKi8PX15bvvvuPdd991ycNT7XypqwWZmZl07tyZU6dO8dRTT1G3bl0CAwM5dOgQMTExLnnnPDstVx8VplJk3HzzzUyaNInly5e7/Qs+pypVqmC329mxY0f22T5w3IRx5swZqlSpUqC52e12du/enX2WFGD79u0A2TfnLFiwAD8/P3744QenGwemTp2a5/3kdRs1atTAbrezdevWfI2DWaVKFTZu3Ijdbnf64v/nn3+yXy8IVapUyT5Tl9O2bducnmfdABIZGclNN92U7/3Mnz+fG2+8kcmTJzutP3PmDOHh4fne3qW4e0/bt28nICCAiIiIPG/nYn9QlSpVijNnzris37dvn9OZyypVqrB582YMw3DaXm5tHBISkqc2Ll++PA888AAPPPAAcXFxNG/enFdeeSXXwjQiIoLg4GAyMzMv6zPMq4iICAICAlzeHziOX7PZ7HLm+1KyjvcdO3Y4te3x48ddzupd6bFWEDM4ff3116SmpvLVV185nQ29VJeXi6lSpYrbERHcrXN3bKalpXHkyJGL7mPTpk1s376d6dOnM3To0Oz1S5YsubykpUTTnyRSZDz55JMEBgZy1113cezYMZfXd+3axfvvvw9Ajx49AHjvvfecYsaNGwfgcgd8QRg/fnz2Y8MwGD9+PFarlU6dOgGOsxMmk8np7MHevXvzNdtLXrfRu3dvzGYzL730ksvZhoudDenRowdHjx51uis5IyODDz74gKCgINq3b5/nXC+mR48erFixglWrVmWvO378OLNmzXKK69q1KyEhIbz66qukp6e7bOfCoX0uZLFYXN7vvHnzOHTo0BVkn7vly5c79Sc8cOAAX375JV26dMnX2cysMRndFaA1atRgxYoVTneFf/PNNxw4cMAprkePHhw+fNhpKLHk5GSXy+ktWrSgRo0avP322yQlJbnsL6uNMzMzXS6pRkZGUqFChVyHoALHZ3D77bezYMECt1c8LvUZ5pXFYqFLly58+eWXTt1njh07xuzZs7n++usv2fXjQjfddBNWq5UPPvjA6Ti68Hsla/9XcqwFBga6/bzzI+sYy5lHfHx8vv74vVDXrl1Zvny50yxkp06dcvldBcexeeHwaJMmTbrkGVN3eRuGkf19LpKTzphKkVGjRg1mz57NHXfcQb169Zxmflq2bFn2sEYATZo0ITo6mkmTJnHmzBnat2/PqlWrmD59Or179+bGG28s0Nz8/PxYvHgx0dHRXHPNNXz//fd8++23PPvss9lnynr27Mm4cePo1q0bAwcOJC4ujv/973/UrFmTjRs35mk/ed1GzZo1+b//+z9efvll2rVrR58+fbDZbMTGxlKhQgVee+01t9u/5557mDhxIjExMaxZs4aqVasyf/58/vrrL957770833x2KU8++SQzZsygW7duPPLII9nDRWWdsc0SEhLChAkTGDJkCM2bN+fOO+8kIiKC/fv38+2339K2bVunPwgudPPNN/PSSy8xbNgwrrvuOjZt2sSsWbMu2ifySjRs2JCuXbs6DRcFjqG78qNGjRqEhYXx0UcfERwcTGBgINdccw3VqlXjrrvuYv78+XTr1o3+/fuza9cuZs6c6TK80N1338348eMZOnQoa9asoXz58syYMcNlaB2z2cwnn3xC9+7dadCgAcOGDaNixYocOnSIX3/9lZCQEL7++msSExOpVKkSffv2pUmTJgQFBfHTTz8RGxvLO++8c9H38/rrr/Prr79yzTXXcPfdd1O/fn1OnTrF2rVr+emnnzh16lS+2ic3Y8eOZcmSJVx//fU88MAD+Pj4MHHiRFJTU3nzzTfzvb2IiAieeOIJXnvtNW6++WZ69OjBunXr+P77713Ogl7psdaiRQt++uknxo0bR4UKFahWrZrbftgX06VLF3x9fenVqxf33nsvSUlJfPzxx0RGRl7yrGVunnzySWbOnEnnzp15+OGHs4eLqly5MqdOnXI603vXXXdx3333cfvtt9O5c2c2bNjADz/8cMkzxnXr1qVGjRo88cQTHDp0iJCQEBYsWHDJvupylfLwKAAil7R9+3bj7rvvNqpWrWr4+voawcHBRtu2bY0PPvjASElJyY5LT083xowZY1SrVs2wWq1GVFSU8cwzzzjFGIZjKJOePXu67AdwGRona5ikt956K3tddHS0ERgYaOzatcvo0qWLERAQYJQtW9Z48cUXXYaPmTx5slGrVi3DZrMZdevWNaZOnep2yBd3+87vNgzDMKZMmWI0a9bMsNlsRqlSpYz27dsbS5YsyX79wiGGDMMwjh07ZgwbNswIDw83fH19jUaNGrkMW+SuHXLm7m7ImAtt3LjRaN++veHn52dUrFjRePnll43Jkye7DEFjGI7hZbp27WqEhoYafn5+Ro0aNYyYmBinoZncSUlJMR5//HGjfPnyhr+/v9G2bVtj+fLlLu87a/iaefPmOf181rBCsbGxTuuz2jvnUGBZn9nMmTOzP59mzZo5DYmTc5sXGy7KMBxDb9WvX9/w8fFxGTrqnXfeMSpWrGjYbDajbdu2xurVq91uY9++fcYtt9xiBAQEGOHh4cYjjzxiLF682GWoHsMwjHXr1hl9+vQxypQpY9hsNqNKlSpG//79jZ9//tkwDMNITU01/vOf/xhNmjQxgoODjcDAQKNJkybGhx9+mPsHkMOxY8eMBx980IiKijKsVqtRrlw5o1OnTsakSZOyY3L7HLKON3fDZ11o7dq1RteuXY2goCAjICDAuPHGG52GgjOM3D9Xd8MYZWZmGmPGjMk+hjp06GBs3rzZZQikvB5rufnnn3+MG264wfD393caisrdsZbF3e/9V199ZTRu3Njw8/MzqlatarzxxhvGlClTXI653L733OW7bt06o127dobNZjMqVapkvPbaa8Z///tfAzCOHj3q1FZPPfWUER4ebgQEBBhdu3Y1du7cmafhorZu3WrcdNNNRlBQkBEeHm7cfffdxoYNG1w+96zvW7l6mQzDC737RYqRmJgY5s+f7/YyqFw9TCYTDz744EXP4IqUFKNGjWLixIkkJSVd1k13IpdLfUxFRESuYhdOC3ry5ElmzJjB9ddfr6JUPE59TEVERK5ibdq0oUOHDtSrV49jx44xefJkEhISeP75572dmlyFVJiKiIhcxXr06MH8+fOZNGkSJpOJ5s2bM3nyZG644QZvpyZXIfUxFREREZEiQX1MRURERKRIUGEqIiIiIkWCClMRERERKRKK9c1Pdrudw4cPExwcXCDzEIuIiIhIwTIMg8TERCpUqIDZfPFzosW6MD18+DBRUVHeTkNERERELuHAgQNUqlTpojHFujDNmtf7wIEDhISEFPr+0tPT+fHHH+nSpQtWq7XQ91ecqG3cU7vkTm3jntold2ob99QuuVPbuOfpdklISCAqKiq7bruYYl2YZl2+DwkJ8VhhGhAQQEhIiA7wC6ht3FO75E5t457aJXdqG/fULrlT27jnrXbJS7dL3fwkIiIiIkWCClMRERERKRJUmIqIiIhIkVCs+5iKiIhIwTMMg4yMDDIzM72dyhVJT0/Hx8eHlJSUYv9eClJBt4vFYsHHx6dAhu5UYSoiIiLZ0tLSOHLkCMnJyd5O5YoZhkG5cuU4cOCAxjvPoTDaJSAggPLly+Pr63tF21FhKiIiIoBj4po9e/ZgsVioUKECvr6+xbqgs9vtJCUlERQUdMmB3a8mBdkuhmGQlpbG8ePH2bNnD7Vq1bqibaowFREREcBxttRutxMVFUVAQIC307lidrudtLQ0/Pz8VJjmUNDt4u/vj9VqZd++fdnbvVz6lERERMSJijjJr4I6ZnTkiYiIiJy3evVq3n33Xex2u7dTuSqpML2UMwfg8HrHcmQDocl74ciGf9edOeDV9ERERKRgHD9+nH79+tGwYcM8nQGsWrUq7733XuEndhVRH9OLOXMAxreAjFQArEAHgG05Ynxs8NAaCIvyfH4iIiJFVKbdYNWeU8QlphAZ7EfraqWxmAvnRqpL3aD1wgsvMGbMmIvG2O12hgwZwosvvkjnzp3ztN/Y2FgCAwPznKdcmgrTi0k+mV2U5ioj1RGnwlRERASAxZuPMObrrRyJT8leVz7Ujxd71adbw/IFvr8jR45kP/7888954YUX2LZtG3a7ncTERMqXv/Q+zWYzixcvztP+0tLS8PX1JSIi4rJzFvd0KV9EREQKzOLNR7h/5lqnohTgaHwK989cy+LNR3L5yctXrly57CU0NBSTyZT9vGzZssyZM4d69erh5+dH3bp1+fDDD51+ftOmTXTs2BF/f3/KlCnDPffcQ1JSUvbrMTEx9O7dm1deeYUKFSpQp04dwPVS/pkzZ7j33nspW7Ysfn5+NGzYkG+++Sb79QULFtCgQQNsNhtVq1blnXfeKfC2KO50xlRERERyZRgG59LzNjtQpt3gxa+2YLjbDmACRn+1lbY1w/N0Wd/farnicVTnzp3L6NGjGT9+PM2aNWPdunXcfffdBAYGEh0dzdmzZ+natStt2rQhNjaWuLg47rrrLh566CGmTZuWvZ2ff/6ZkJAQlixZ4nY/drud7t27k5iYyMyZM6lRowZbt27FYrEAsGbNGvr378/o0aO54447WLZsGQ888ABlypQhJibmit5jSaLCVERERHJ1Lj2T+i/8UCDbMoCjCSk0Gv1jnuK3vtSVAN8rK1Vef/113nrrLfr06QNAtWrV2Lp1KxMnTiQ6OprZs2eTkpLCp59+mt1fdPz48fTq1Ys33niDsmXLAhAYGMgnn3yS68xGP/30E6tWreLvv/+mdu3aAFSvXj379XHjxtGpUyeef/55AGrXrs3WrVt56623VJjmoEv5IiIiUiKdPXuWPXv2cPfddxMUFJS9jB07ll27dgHw999/06RJE6ebmNq2bYvdbmfbtn/vdm7UqNFFp9tcv349lSpVyi5KL/T333/Ttm1bp3Vt27Zlx44dBTJffUmhM6YiIiKSK3+rha0vdc1T7Ko9p4iZGnvJuGnDWtG6Wuk87ftKZPUTnThxIm3atHF6LesSe15d6u57f3///CUnbqkwLQiGBuEVEZGSyWQy5flyertaEZQP9eNofIrbfqYmoFyoH+1qRRTa0FE5lS1blvLly7Nnzx6GDBniNqZevXpMmzaNs2fPZheff/31F2azOfsmp7xo3LgxBw8eZPv27W7PmtarV4+//vrLad1ff/1F7dq1810kl2S6lH8xAWUc45ReyooJYLj7FRQREbl6WMwmXuxVH3AUoTllPX+xV32PFKVZnn76aV5//XX++9//sn37djZt2sTUqVMZN24cAIMGDcLPz4/o6Gg2b97Mr7/+ysMPP8yQIUOy+5fmRfv27bnhhhu4/fbbWbJkCXv27OH777/PHoLq8ccf5+eff+bll19m+/btTJ8+nfHjx/PEE08UyvsurlSYXkxYlGPw/Ht+I/PupazrtogJZV9mXbdFZN69FG46P1jvprnw25teTVVERKQo6NawPBMGN6dcqJ/T+nKhfkwY3LxQxjG9mKFDhzJp0iSmTp1Ko0aNaN++PdOmTaNatWoABAQE8MMPP3Dq1ClatWpF37596dSpE+PHj8/3vhYsWECrVq0YMGAA9evX58knn8zuP9q8eXPmzp3LnDlzaNiwIS+88AIvvfSSbny6gC7lX0pYFIsP+uQYKLgG7DtH+VCDF3vdQbcegfDdE7D0VQguCy1ivJ2xiIiIV3VrWJ7O9ct5bOannGJiYlyKvYEDBzJ48OBcf6ZRo0b88ssvub6ec9ionPbu3ev0vHTp0kyZMiXX7dx+++3cfvvtub4uKkwvKWug4Asv1GcNFDxh8M10u+EY/P4WfPMoBEZA3Z5eyVVERKSosJhNtKlRxttpSDGjS/kXkWk3GPP11lwHCgYY8/VWMts/C82GOG6Cmj8c9q/wZJoiIiIiJYIK04tYteeUy5RqORnAkfgUVu09DTe/B7W7Q0YKzO4PcX97LE8RERGRksCrhWlmZibPP/881apVw9/fnxo1avDyyy9jFJE73OMScy9KXeIsPtB3ClRqDSnxMPN2iD9YyBmKiIiIlBxeLUzfeOMNJkyYwPjx4/n777954403ePPNN/nggw+8mVa2yGC/SwfljPMNgIGfQ3gdSDjkKE6TTxVihiIiIiIlh1cL02XLlnHrrbfSs2dPqlatSt++fenSpQurVq3yZlrZWlcrTflQP5ex2HIKC7A6z14RUBoGL4DgCnD8H/hsAKSfK/RcRURERIo7r96Vf9111zFp0qTsWRI2bNjAn3/+mT3o7YVSU1NJTU3Nfp6QkABAeno66enphZLj/3Wvw8NzNmACtzdBJaaks2xHHNdWz1GcBpaDOz/H59OemA6swD5vGJm3TwVzyR0EIav9C+tzKK7ULrlT27indsmd2sa9gmyX9PR0DMPAbrdjtxf/WQ2zugZmvSdxKIx2sdvtGIZBenq6y0xW+Tk2TYYXO3Ta7XaeffZZ3nzzTSwWC5mZmbzyyis888wzbuNHjx7NmDFjXNbPnj2bgICAQstzw0kTC/eaOZP277nTMF+DUF+DfUlm/CwGIxtkUvGCaXTLJP1Dm51vYTHS2VumAxuihoHJc7NdiIiI5IePjw/lypUjKioKX19fb6cjxUhaWhoHDhzg6NGjZGRkOL2WnJzMwIEDiY+PJyQk5KLb8WphOmfOHP7zn//w1ltv0aBBA9avX8+oUaMYN24c0dHRLvHuzphGRUVx4sSJS77RK5VpN1ix6zi/LF9DxzYtuLZGBBmZdmKmr2H1vjOUDbYx957WVAjzd/o50z/fYlk4DJNhJ7Pdf7Df8FSh5ukt6enpLFmyhM6dO2O1Wr2dTpGhdsmd2sY9tUvu1DbuFWS7pKSkcODAAapWrYqfX97usyjKDMMgMTGR4OBgTDoxlK0w2iUlJYW9e/cSFRXlcuwkJCQQHh6ep8LUq9eW//Of//D0009z5513Ao6ZF/bt28drr73mtjC12WzYbK5z11ut1kL/krICbWtFEr/DoG2tyOz9TY5uTb+Jy9h+LIkRM9Yx/742hAXk+CuzUW9IOQnfPoblj7ewhJSHViMKNVdv8sRnURypXXKntnFP7ZI7tY17BdEumZmZmEwmzGYzZnPxH1Ey6zJ11nvylpiYGM6cOcMXX3zhtRxyupx2qVq1KqNGjWLUqFFuXzebzZhMJrfHYX6OS68edcnJyS4NYrFYilU/kNAAK9OGtaZciB8745IYMX01KemZzkGtRkD782dKv3sC/v7a84mKiIh4wpkDcHh97suZA4Wy25iYGEwmk9NisVjo27dvoewvP95///1cpzX1NJPJVGQKZHe8esa0V69evPLKK1SuXJkGDRqwbt06xo0bx/Dhw72ZVr5VCPNn+vDW9P1oGWv2nWbkZ+uYMLiF85zAHZ6BpGOwZhrMHwFDv4Aq13krZRERkYJ35gCMbwEZqbnH+NjgoTUQFlXgu+/WrRtTp07Nfm6320lLSyvw/eRV1hno0NBQr+VQ3Hj1jOkHH3xA3759eeCBB6hXrx5PPPEE9957Ly+//LI307osdcoF8/HQlvhazPy49RgvfLnZeaIAkwl6vAN1ekJmKnx2Jxzb6r2ERUREClryyYsXpeB4PflkoezeZrNRrlw5pyUsLIylS5fi6+vLH3/8kR375ptvEhkZybFjxwDo0KEDDz30EA899BChoaGEh4fz/PPPO/1fnpqayhNPPEHFihUJDAzkmmuuYenSpdmvT5s2jbCwML766ivq16+PzWZj//79xMTE0Lt37+y4Dh068PDDDzNq1ChKlSpF2bJl+fjjjzl79izDhg0jODiYmjVr8v333zu9v82bN9O9e3eCgoIoW7YsQ4YM4cSJE07bHTlyJE8++SSlS5emXLlyjB49Ovv1qlWrAnD77bdTqlQpqlevDsCuXbu49dZbKVu2LEFBQbRq1YqffvrpSj+Oy+LVwjQ4OJj33nuPffv2ce7cOXbt2sXYsWOL7Z2A11Yvw3t3NsVkglkr9zP+l53OARYf6DsZoq79d3aoQrqkISIiUiAMA9LO5m3JyOO43Rnn8ra9Aro/u0OHDowaNYohQ4YQHx/PunXreP755/nkk08oW7Zsdtz06dPx8fFh1apVvP/++4wbN45PPvkk+/WHHnqI5cuXM2fOHDZu3Ei/fv3o1q0bO3bsyI5JTk7mjTfe4JNPPmHLli1ERka6zWn69OmEh4ezatUqHn74Ye6//3769evHddddx9q1a+nSpQtDhgwhOTkZgDNnztCxY0eaNWvG6tWrWbx4MceOHaN///4u2w0MDGTlypW8+eabvPTSSyxZsgSA2NhYACZPnsw///zDypUrAUhKSqJHjx78/PPPrFu3jm7dutGrVy/2799fAK2fPyV3YE0v6dGoPC/eXJ/RX2/lnSXbKRvqR/+WOS5XWP1hwGcwtbtjAP6ZfWD4D46B+UVERIqa9GR4tULBbnNKt7zFPXsYfAMvHXfeN998Q1BQkNO6Rx99lDFjxjB27FiWLFnCPffcw+bNm4mOjuaWW25xio2KiuLdd9/FZDJRp04dNm3axLvvvsvdd9/N/v37mTp1Kvv376dCBUd7PPHEEyxevJipU6fy6quvAo5REj788EOaNGly0VybNGnCc889B8AzzzzD66+/Tnh4OHfffTcAL7zwAhMmTGDjxo1ce+21jB8/nmbNmmXvB2DKlClERUVljwcP0LhxY1588UUAatWqxfjx4/n555/p3LkzERERAISFhVG2bNnsO+SbNGnilO/LL7/MokWL+Oqrr3jooYfy3P4FQYVpIYhpW42jCal89Nsunlm4iYggGzfWzfEXU9bsUJO7wIntMPsOGPqlY0pTERERuSw33ngjEyZMyH5ut9uz7wj39fVl1qxZNG7cmCpVqvDuu++6/Py1117rNHxSmzZteOedd8jMzGTTpk1kZmZmF4BZUlNTKVOmTPZzX19fGjdufMlcc8ZYLBbKlClDo0aNstdlncmNi4sDYMOGDfz6668uhTc4LsXnLExzKl++fPY2cpOUlMTo0aP59ttvOXLkCBkZGZw7d05nTEuSp7rVIS4hhYXrDvHArLV8ds+1NI0K+zcgtJKjOJ3SFQ6ugvnD4I5Zjsv9IiIiRYU1wHHmMi+Obszb2dDhi6HcpYs3rPk7YRMYGEjNmjWzn9vt9uxZIsExFTrAqVOnOHXqFIGBeT8bm5SUhMViYc2aNS4zG+UsFv39/fM0NuiFQyhlDbWU83nWe8jaf69evXjjjTdctlW+fPmLbvdSox098cQTLFmyhLfffpuaNWvi7+9P3759vXLjmKqgQmIymXijb2OOJ6Xyx44TDJ8Wy4L7r6NaeI5fgsh6MHAufHorbF8M34yCWz7Q7FAiIlJ0mEx5v5zu43/pmKy4fFyiLwi7du3i0Ucf5eOPP+bzzz8nOjqan376yWnYyqw+l1lWrFhBrVq1sFgsNGvWjMzMTOLi4mjXrp1Hcwdo3rw5CxYsoGrVqvj4XH75ZrVaycx0Htbyr7/+IiYmhttuuw1wFMF79+69knQvW/EfPbcIs1rMTBjcgkYVQzl1No2hU1ZyPPGCuxUrXwt9p4DJDOtmwK+veCdZERGRYi41NZWjR486LSdPniQzM5PBgwfTtWtXhg0bxtSpU9m4cSPvvPOO08/v37+fxx57jG3btvHZZ5/xwQcf8MgjjwBQu3ZtBg0axNChQ1m4cCF79uxh1apVvPbaa3z77beF/t4efPBBTp06xYABA4iNjWXXrl388MMPDBs2zKXQvJiqVavyyy+/cOzYMU6fPg04+qIuXLiQ9evXs2HDBgYOHOi1MeVVmBayIJsPU2JaUbl0AAdOnWPYtFUkpTrPIUvdnnDz+b4uv78Fqz72fKIiIiJXKqCMY5zSi/GxOeIKweLFiylfvnz2UrFiRbp3786rr77Kvn37mDhxIuC49D1p0iSee+45NmzYkP3zQ4cO5dy5c7Ru3ZoHH3yQRx55hHvuuSf79alTpzJ06FAef/xx6tSpQ+/evYmNjaVy5cqF8n5yqlChAn/99ReZmZl06dKFRo0aMWrUKMLCwvI1q9U777zDTz/9RMOGDWnRogUA48aNo1SpUlx33XX06tWLrl270rx588J6KxdlMowCGovBCxISEggNDc3T3KsFIT09ne+++44ePXrke9q3PSfOcvuEZZw6m0a7WuFMjm6Fr88FB9LSN2Dpq4AJ+k2DBr0LKvVCdyVtU5KpXXKntnFP7ZI7tY17BdkuKSkp7Nmzh2rVqrnMd55nZw5cfJzSgDKFMri+O1l9TENCQi5ZvHXo0IGmTZvy3nvveSQ3b8pPu+TVxY6d/NRrOmPqIdXCA5kS0wp/q4U/dpzg6QUbcfmboP2T0HI4YMDCu2Hvn17JVURE5LKFRUGFprkvHipKpXhSYepBTaPC+HBQcyxmEwvXHeKNxducA0wm6PE21L0ZMtPgswFwdLN3khURERHxMBWmHnZj3Uhe6+MYp+yj33Yx7a89zgFmC9w+GSpfB6kJ52eH8vw4YiIiIleTpUuXXhWX8Ys6FaZe0L9lFI93dgyEO+abrXy36YhzgNXPMTtUZH1IOgoz+sDZwplXWERERKSoUGHqJQ91rMmgaypjGDDq8/Ws3H1B4ekfBoPmQ0glOLkDZvd3zBssIiIiUkKpMPUSk8nES7c2pEv9sqRl2Lnr09VsO5roHBRaEYYsBP9ScGg1zIuBzHSv5CsiIlePYjxgj3hJQR0zKky9yGI28d8BzWhZpRSJKRlET1nF4TPnnIMi6jhmh/Lxhx0/wtejQF8YIiJSCLKGm0pOTvZyJlLcZB0zVzpkmaYk9TI/q4VPolvS96Pl7IxLInrKKubfdx2hATk+2KjW0G8qzBkE62dCUCTc9KL3khYRkRLJYrEQFhZGXFwcAAEBAXma972ostvtpKWlkZKSUmDjdZYEBdkuhmGQnJxMXFwcYWFhWCyWK9qeCtMiICzAl+nDW9Pnw7/YEZfE3Z+u5tMRrfGz5vhw63SHXu/BVw/Dn+MguBxcc6/XchYRkZKpXLlyANnFaXFmGAbnzp3D39+/WBfYBa0w2iUsLCz72LkSKkyLiIph/kwf3pp+E5azau8pRs1Zz//Oj3marflQSDoGv4yF75+CwAho2Md7SYuISIljMpkoX748kZGRpKcX7/sa0tPT+f3337nhhhs0W1gOBd0uVqv1is+UZlFhWoTULRfCxKEtiJkSy+ItRxnz9RbG3NLA+a+Zdk9A4jGI/RgW3QuB4VDtBu8lLSIiJZLFYimwYsNbLBYLGRkZ+Pn5qTDNoSi3izpcFDHX1Qjnnf5NAPh0+T4+XLrLOcBkgu5vQP1bz88ONRCObPRCpiIiIiIFS4VpEdSrSQWev7k+AG/9sI35aw46B5gtcNskqHI9pCXCrL5weq/nExUREREpQCpMi6gR11fjnhuqA/DUgo0s3XZBJ3SrH9w5CyIbOPqdzugDZ094IVMRERGRgqHCtAh7ultdejetQKbd4IFZa9l48IxzgH8YDF4AoZXh1C6Y1Q9Sk7yRqoiIiMgVU2FahJnNJt7s24Tra4aTnJbJ8Gmx7Dt5wbSkIeXPzw5VGg6v1exQIiIiUmypMC3ifH3MTBjcnPrlQziRlMbQKas4kZTqHBRe69/ZoXYucYx1qtmhREREpJhRYVoMBPtZmTa8FZVK+bPvZDLDp8VyNjXDOSiqFfSfDiYLbPgMfhrtlVxFRERELpcK02IiMtiPT4e3plSAlY0H43lg1lrSM+3OQbW7wi0fOB7/9R6smODxPEVEREQulwrTYqR6RBBTYlrhZzXz2/bjPL1gE8aFl+ybDYJOLzgeL34aNs33fKIiIiIil0GFaTHTrHIp/jewOWYTLFh7kLd/3OYadP1j0Ppex+NF98HupR7NUURERORyqDAthjrVK8urtzUC4H+/7mLG8r3OASYTdHsdGtwG9nSYMxiObPB8oiIiIiL5oMK0mLqzdWVG3VQLgBe+2sLizUedA8xmuG0iVG3nmB1qZl84tccLmYqIiIjkjQrTYuyRTrUY0DoKw4CRc9YRu/eUc4CPzTE7VNlGcDYOZvaBpOPeSVZERETkElSYFmMmk4mXb23ITfXKkpZhZ8S0WHYcS3QO8guFwfMhrDKc2g2zNTuUiIiIFE0qTIs5H4uZDwY0o3nlMBJSMoiesooj8eecg4LLweBFEFAGDq+DuUMgI807CYuIiIjkwquFadWqVTGZTC7Lgw8+6M20ih1/XwuTo1tRPSKQw/EpxEyJJf7cBdOShteEgfPAGgC7foEvHwS73f0GRURERLzAq4VpbGwsR44cyV6WLFkCQL9+/byZVrFUKtCX6cNaExFsY9uxRO75dDUp6ZnOQZVaQP8ZYPaBTXPhpxe8k6yIiIiIG14tTCMiIihXrlz28s0331CjRg3at2/vzbSKrajSAUwb1oogmw8r95zi8bkbsNsvGIC/1k1wy3jH42UfwLLxnk9URERExA0fbyeQJS0tjZkzZ/LYY49hMpncxqSmppKampr9PCEhAYD09HTS09Pd/kxBytqHJ/Z1uWpHBPDhwCaM+HQt3246QplAK8/1qOPcpg36Yk44jOWXl+DH/yPDvwxGw75XtN/i0DbeoHbJndrGPbVL7tQ27qldcqe2cc/T7ZKf/ZgMlzktvWPu3LkMHDiQ/fv3U6FCBbcxo0ePZsyYMS7rZ8+eTUBAQGGnWKysOWHi0x0WAG6pnEmnihd8zIZBw0OzqXH8B+wmCyuqP87xkIZeyFRERERKsuTkZAYOHEh8fDwhISEXjS0yhWnXrl3x9fXl66+/zjXG3RnTqKgoTpw4cck3WhDS09NZsmQJnTt3xmq1Fvr+rtTkv/by+uLtALx1e0N6N72g4DfsWL64F/PWRRi+gWQM/hLKN72sfRW3tvEUtUvu1DbuqV1yp7ZxT+2SO7WNe55ul4SEBMLDw/NUmBaJS/n79u3jp59+YuHChReNs9ls2Gw2l/VWq9WjB5yn93e57utQi+NJ6Uz+cw/PLNpCubAA2tWKcA7qMxHOncK05zesc+6EET9CmRqXvc/i0jaepnbJndrGPbVL7tQ27qldcqe2cc9T7ZKffRSJcUynTp1KZGQkPXv29HYqJc7/9ahHryYVyLAb3DdjDZsPxTsH+NjgjplQrjEknzg/O1Scd5IVERGRq5rXC1O73c7UqVOJjo7Gx6dInMAtUcxmE2/3a0yb6mU4m5ZJzNRY9p9Mdg7yC4FB8yGsCpzeC7P6Qmqi2+2JiIiIFBavF6Y//fQT+/fvZ/jw4d5OpcSy+ViYOLQFdcsFcyIpleipqziZlOocFFwWhiyCgHA4sgE+H6zZoURERMSjvF6YdunSBcMwqF27trdTKdFC/KxMH96aimH+7DlxluHTV5OcluEcVKYGDJoH1kDYvRS+uF+zQ4mIiIjHeL0wFc8pG+LH9OGtCQuwsuHAGR6avY6MzAsKz4rN4Y7zs0Ntng8/PgdFY+AGERERKeFUmF5lakYGMTm6JTYfM7/8E8ezizbhMmJYzU5w64eOxyv+55ghSkRERKSQqTC9CrWoUpoPBjTDbIK5qw/y7pLtrkFN7oDOLzseL3keNszxbJIiIiJy1VFhepXq0qAcL/d2zPT03192MmvlPtegtiOhzUOOx18+CDt+8mCGIiIicrVRYXoVG3RNFUZ2rAnA819s5octR12DOr8MjfqBPQPmDoVDazycpYiIiFwtVJhe5R7tXJs7WkZhN2DkZ+tYs++Uc4DZ7OhvWv1GSD8Ls/rByV3eSVZERERKNBWmVzmTycQrtzWkY91IUjPsjJi+mp1xSc5BPr6OO/XLN4XkkzDjNkg85pV8RUREpORSYSr4WMyMH9iMJlFhnElOJ3rKKo4lpDgH2YIdY5yWqgZn9sGs2yElwTsJi4iISImkwlQACPD1YUp0S6qFB3LozDmip6wiISXdOSgoEoYshMAIOLoJPh8EGanuNygiIiKSTypMJVuZIBufDm9NeJCNf44mcu+na0jNyHQOKl0dBs0H3yDY8zssulezQ4mIiEiBUGEqTqJKBzBtWCsCfS0s332Sx+duwG6/YAD+Ck3Pzw5lhS2L4IdnNDuUiIiIXDEVpuKiYcVQPhrSAh+ziW82HuGV7/52DarREW77yPF45UeYl2t2KBEREbkyKkzFrXa1InirX2MAJv+5h49/3+0a1KgvdH0VAMuvLxF18g9PpigiIiIljApTydVtzSrxdPe6ALzy3d98uf6Qa1CbB+G6kQA03T8Z007NDiUiIiKXR4WpXNS9N1Qn5rqqADwxbwN/7TzhGnTTGOwN+2HGjmXhcDi42rNJioiISImgwlQuymQy8cLN9enZqDzpmQb3zljDlsPxzkFmM5k3/5djwY0wpSc7Zoc6scM7CYuIiEixpcJULslsNvFO/yZcU600SakZxEyN5cCpZOcgi5XYag9jL98Uzp2CGX0g4YhX8hUREZHiSYWp5Imf1cKkoS2pWy6Y44mpRE9dxemzaU4xmRY/Mu/4zDHWafx+x5nTlPhctigiIiLiTIWp5Fmov5Vpw1pTIdSP3cfPMnx6LOfSLhiAPzACBi+EwEg4tgnmaHYoERERyRsVppIv5UL9mD68NaH+VtbtP8PDn60lI/OCmZ9KV4PB88E3GPb+AQvvAXum+w2KiIiInKfCVPKtVtlgPoluic3HzE9/x/H8l5sxLpz5qXwTuHOWY3aorV/A4qc1O5SIiIhclApTuSytqpbm/TubYTbBZ6sOMP5XNwPwV28PfSYCJlg1Cf4c5/E8RUREpPhQYSqXrVvDcoy5tSEA//11F8uOmVyDGt4O3V53PP75JVg304MZioiISHGiwlSuyJBrq/DgjTUAmLvbzM//xLkGXXsftB3lePzVSNi22HMJioiISLGhwlSu2BNd6tCnWQUMTIyau5G1+0+7Bt00GpoMBCMT5sXAgVhPpykiIiJFnApTuWImk4mxt9anXpidlHQ7I6bFsut40oVBcMt/oWZnyDgHs/vB8e3eSVhERESKJBWmUiCsFjPDattpVDGE08npRE9ZRVxCinOQxQr9p0PFFnDuNMzsAwmHvZOwiIiIFDkqTKXA2Czw8eBmVC0TwMHT54iZGktiSrpzkG8gDJwHZWpC/AGY2RfOnfFKviIiIlK0qDCVAlUmyMb04a0JD/Jl65EE7pu5hrSMCwbgDyzjmB0qqCzEbYE5AyE9xf0GRURE5KqhwlQKXJUygUyJaUWAr4W/dp7kP/M3YLdfMLh+qSoweAHYQmDfX7DwLs0OJSIicpVTYSqFonGlMCYMboGP2cSX6w/z+uJ/XIPKNYI7Z4PFF/7+Gr5/UrNDiYiIXMVUmEqhaV87gjdubwzApN93M/nPPa5B1dpBn0mACWI/gd/f9mySIiIiUmR4vTA9dOgQgwcPpkyZMvj7+9OoUSNWr17t7bSkgNzeohJPdqsDwMvfbOXrDW7uwm9wG3R/0/H417GwZroHMxQREZGiwquF6enTp2nbti1Wq5Xvv/+erVu38s4771CqVClvpiUF7P72NRjapgoAj8/dwLJdJ1yDrrkH2j3uePzNKPjnO88lKCIiIkWCVwvTN954g6ioKKZOnUrr1q2pVq0aXbp0oUaNGt5MSwqYyWTixV4N6N6wHGmZdu79dA1/H0lwDez4PDQbDIYd5g+D/Ss9n6yIiIh4jVcL06+++oqWLVvSr18/IiMjadasGR9//LE3U5JCYjGbePeOprSuWprE1Axipq7i0JlzzkEmE9z8PtTqChkpMLs/xLm5aUpERERKJB9v7nz37t1MmDCBxx57jGeffZbY2FhGjhyJr68v0dHRLvGpqamkpqZmP09IcJx1S09PJz093SW+oGXtwxP7Km7y0jYW4MOBTRjwySp2xJ1l6OSVzLmrNWEBVufA2z7GMqsP5kOrMWb2ISP6ewipUIjZFx4dM7lT27indsmd2sY9tUvu1Dbuebpd8rMfk2F4b3weX19fWrZsybJly7LXjRw5ktjYWJYvX+4SP3r0aMaMGeOyfvbs2QQEBBRqrlJwTqfCu5stxKeZqBZs8EC9THwtzjHWjETabR9LcOoREvwq8met50j3CfROwiIiInLZkpOTGThwIPHx8YSEhFw01quFaZUqVejcuTOffPJJ9roJEyYwduxYDh065BLv7oxpVFQUJ06cuOQbLQjp6eksWbKEzp07Y7VaL/0DV5H8ts32Y4kM+CSWhJQMOteL5IM7m2Axm5yD4g/gM607pqSj2KOuJXPAPLD6F9I7KBw6ZnKntnFP7ZI7tY17apfcqW3c83S7JCQkEB4enqfC1KuX8tu2bcu2bduc1m3fvp0qVaq4jbfZbNhsNpf1VqvVowecp/dXnOS1bRpUKs3HQ1syZMoqlvwdx8vfbWNs74aYTDmK0/DqMGQhTOmO+cAKzF/dD/0/BbMl9w0XUTpmcqe2cU/tkju1jXtql9ypbdzzVLvkZx9evfnp0UcfZcWKFbz66qvs3LmT2bNnM2nSJB588EFvpiUeck31Mrx/R1NMJpi1cj/jf9npGlS2AQyYDRYb/PMNfPu4ZocSEREpobxamLZq1YpFixbx2Wef0bBhQ15++WXee+89Bg0a5M20xIO6NyrP6F4NAHhnyXbmxh5wDap6Pdz+MWCCNVPhtzc8m6SIiIh4hFcv5QPcfPPN3Hzzzd5OQ7wo+rqqHE1IYcLSXTyzaBPhwb50rFvWOaj+rdDzbccZ06WvQVBZaDnMOwmLiIhIofD6lKQiAE92rUOfZhXJtBs8OGsd6w+ccQ1qdRfc8KTj8bePwd/feDRHERERKVwqTKVIMJlMvNG3Me1qhXMuPZPh02LZc+Ksa+CNz0LzoY7ZoRaMgH2uw4qJiIhI8aTCVIoMq8XMhMEtaFQxlFNn0xg6ZSXHE1Odg0wm6Pku1OnhmB3qszsg7m/vJCwiIiIFSoWpFClBNh+mxLSicukADpw6x7Bpq0hKzXAOsvjA7ZMh6hpIiYeZt0P8Qe8kLCIiIgVGhakUORHBNqYPb03pQF82H0rg/plrSMuwOwf5BsCAORBeBxIOwYw+kHzKOwmLiIhIgVBhKkVStfBApsS0wt9q4Y8dJ3h6wUZcJikLKO0YgD+4ApzYBp/dCennvJOwiIiIXDEVplJkNY0K48PBzbGYTSxcd4g3Fm9zDQqt5ChO/ULhwEqYPxwyM1zjREREpMhTYSpF2o11Inm9TyMAPvptF9P+2uMaFFnPcVnfYoNt38G3j2p2KBERkWJIhakUef1aRvFEl9oAjPlmK99uPOIaVOU66DsFTGZY+6ljEH4REREpVlSYSrHw4I01GXxtZQwDHv18PSt2n3QNqncz9HzH8fi3NyB2smeTFBERkSuiwlSKBZPJxJhbGtKlflnSMu3c/elq/jma4BrYcji0f9rx+NvHYetXnk1URERELpsKUyk2LGYT/x3QjJZVSpGYkkHMlFgOn3FzF36Hp6FFDGDAgrtg71+eTlVEREQugwpTKVb8rBY+iW5JzcggjiakED1lFfHJ6c5BJhP0HAd1b4bMVPhsABzb4p2ERUREJM9UmEqxExbgy/ThrSkbYmNHXBJ3f7qalPRM5yCzBW7/BCq3gdTzs0Od2e+dhEVERCRPVJhKsVQxzJ/pw1sTbPNh1d5TjJqznkz7BUNEWf1hwGcQUQ8SjziKU80OJSIiUmSpMJViq265ECYNbYmvxcziLUcZ8/UW19mh/EvB4PkQUhFObIfZ/SEt2TsJi4iIyEWpMJVirU2NMoy7owkmE3y6fB8fLt3lGhRaCQYvBL8wOBgL84dpdigREZEiSIWpFHs3N67A8z3rA/DWD9uYv+aga1BkXRj4Ofj4wfbF8M0jmh1KRESkiFFhKiXC8Ource8N1QF4asFGlm6Lcw2qfC30neqYHWrdTPhlrIezFBERkYtRYSolxlPd6tK7aQUy7QYPzFrLhgNnXIPq9oCb33M8/uNtWDnJkymKiIjIRagwlRLDbDbxZt8mXF8znOS0TIZPi2XvibOugS2i4cb/czz+/knY8oVH8xQRERH3VJhKieLrY2bC4ObULx/CybNpRE9dxYmkVNfAG/7jmL4UAxbeDXv+8HiuIiIi4kyFqZQ4wX5Wpg1vRaVS/uw7mczwabGcTb3gLnyTCXq8DfV6QWYazBkIRzd5J2EREREBVJhKCRUZ7Menw1tTKsDKxoPxPDBrLemZducgswX6fAJV2kJqAszsC6f3eSdhERERUWEqJVf1iCCmxLTCz2rmt+3HeXrBJtcB+K1+cOdsiKwPSUdhZh84e9I7CYuIiFzlLqsw3b9/P3/88Qc//PADa9euJTXVTR8+kSKgWeVS/G9gcyxmEwvWHuTtH7e5BvmHweAFEBoFJ3fC7H6Q5uamKRERESlUeS5M9+7dy1NPPUWVKlWoVq0a7du3p3v37rRs2ZLQ0FA6d+7MvHnzsNvtl96YiAd1qleWV3o3BOB/v+5ixvK9rkEhFRzFqX8pOLQG5sVAZrpH8xQREbna5akwHTlyJE2aNGHPnj2MHTuWrVu3Eh8fT1paGkePHuW7777j+uuv54UXXqBx48bExsYWdt4i+XJn68o8elNtAF74aguLNx9xDYqoAwPngo8/7PgRvhqp2aFEREQ8yCcvQYGBgezevZsyZcq4vBYZGUnHjh3p2LEjL774IosXL+bAgQO0atWqwJMVuRIjO9XkaEIKn63az8g565k5wkbraqWdg6JaQ79pjrv0N8yG4LJw02hvpCsiInLVydMZ09dee81tUepOt27d6NOnzxUlJVIYTCYTL9/agJvqlSUtw85d02PZfizRNbBON+j1vuPxn+/Cio88m6iIiMhVKs99TFu2bMlHH31EQkJCYeYjUqh8LGY+GNCM5pXDSEjJIHrKKo7En3MNbD4EOj7neLz4adi80LOJioiIXIXyXJg2adKEJ598kvLlyzNkyBCWLl1aiGmJFB5/XwuTo1tRPSKQI/EpxEyJJf6cmxud2j0Bre4GDFh0L+z+zeO5ioiIXE3yXJhOnjyZo0eP8r///Y8DBw7QqVMnatasyauvvsqhQ4cKM0eRAlcq0Jfpw1oTEWxj27FE7vl0NSnpmc5BJhN0fwPq33p+dqhBcGSjdxIWERG5CuRrHNOAgABiYmJYunQp27dv584772TixIlUrVqVnj17snBh/i53jh49GpPJ5LTUrVs3X9sQuVxRpQOYNqwVQTYfVu45xeNzN2C3X3AXvtkCt02CKtdDWiLM6gun93olXxERkZLusmd+qlGjBmPHjmXv3r189tlnrFixgn79+uV7Ow0aNODIkSPZy59//nm5KYnkW4MKoUwa0gKrxcS3m47w0jdb3c8ONWA2lG0IScdgRh84e8I7CYuIiJRgVzQl6dKlS4mJiSEmJobMzEzuvvvufG/Dx8eHcuXKZS/h4eFXkpJIvl1XM5x3+jcFYNqyvUz8fbdrkF8oDJoPoZXh1C6Y1Q9SkzybqIiISAmXp3FMczp48CDTpk1j2rRp7N69m3bt2vHhhx/Sr18//P39853Ajh07qFChAn5+frRp04bXXnuNypUru41NTU11mv40a4SA9PR00tMLf5aerH14Yl/FTXFvm+71I3imW21eW7yd17//hzIBPvRuWsE5yD8cBnyOz/SemA6vxf75EDL7zwKLNdftFvd2KUxqG/fULrlT27indsmd2sY9T7dLfvZjMlyuW7o3d+5cpkyZws8//0xkZCTR0dEMHz6cmjVrXnai33//PUlJSdSpU4cjR44wZswYDh06xObNmwkODnaJHz16NGPGjHFZP3v2bAICAi47D5Esi/aaWXrEjNlkcG9dO3XDXH89Sp3dxXU7X8PHnsaBUm1ZW+VuMF3RxQcREZESKzk5mYEDBxIfH09ISMhFY/NcmPr6+tKzZ09GjBhBjx49MJsL/j/iM2fOUKVKFcaNG8eIESNcXnd3xjQqKooTJ05c8o0WhPT0dJYsWULnzp2xWnM/S3Y1KiltY7cbPDZ/E99uOkqgr4VZI1rRoILrsWXauQTL3MGYjEwy2zyMveOLbrdXUtqlMKht3FO75E5t457aJXdqG/c83S4JCQmEh4fnqTDN86X8gwcPEhkZecXJXUxYWBi1a9dm586dbl+32WzYbDaX9Var1aMHnKf3V5yUhLYZd0dTTp2NZfnuk9w1Yy0L729L5TIXnJGv1wNu+QC+fADL8g+whFSANg/kus2S0C6FRW3jntold2ob99QuuVPbuOepdsnPPvJ02nPFihV5LkqTk5PZsmVLnhPIKSkpiV27dlG+fPnL+nmRgmDzsTBxaAvqlgvmRFIa0VNXcTIp1TWw2SDodP5M6Q/PwKb5nk1URESkhMlTYTpkyBC6du3KvHnzOHv2rNuYrVu38uyzz1KjRg3WrFmTp50/8cQT/Pbbb+zdu5dly5Zx2223YbFYGDBgQN7fgUghCPGzMn14ayqG+bPnxFmGT19NclqGa+D1j8I19zkeL7oPdv3q2URFRERKkDwVplu3bqVnz54899xzhIWF0aBBAzp37kyvXr24/vrrCQ8Pp3nz5uzZs4cff/yRoUOH5mnnBw8eZMCAAdSpU4f+/ftTpkwZVqxYQURExBW9KZGCUDbEj+nDWxMWYGXDgTM8NHsdGZl25yCTCbq+Bg1uA3s6fD4YDq/3Sr4iIiLFXZ76mFqtVkaOHMnIkSNZvXo1f/75J/v27ePcuXM0adKERx99lBtvvJHSpUvna+dz5sy5rKRFPKVmZBCTo1sy8OOV/PJPHM8u2sQbtzfGZDL9G2Q2w20TIfkk7PndMTvUiB+hdHXvJS4iIlIM5Xsc05YtW9KyZcvCyEWkSGpRpTTjBzbn3hmrmbv6IOVC/HisSx3nIB8b3DELpvaAY5scs0ONWAK2MK/kLCIiUhxp8EWRPOhcvyxjezcC4L+/7GTWyn2uQX4hMHg+hFWG03scZ05TEz2cqYiISPGlwlQkjwZeU5mRnWoB8PwXm/lhy1HXoOByMHgRBJSBI+uxLBiGye7mpikRERFxocJUJB8evakWd7aKwm7AyM/WsXrvKdeg8JowaB5YAzDvWUqz/Z+AYXeNExEREScqTEXywWQyMbZ3QzrWjSQ1w86I6avZGefmcn3FFtB/BobZh6jTyzD/PNrjuYqIiBQ3KkxF8snHYmb8wGY0iQoj/lw60VNiOZaQ4hpY6yYyb/4vAJaVH8KyDzycqYiISPGSp7vy//vf/+Z5gyNHjrzsZESKiwBfH6ZEt6TvR8vZc+Is0VNWMfe+NoT4OU+7ZjTqz5bVv9Hg8Ofw43MQVBYa9/dS1iIiIkVbngrTd9991+n58ePHSU5OJiwsDIAzZ84QEBBAZGSkClO5apQJsvHp8Nbc9uEy/jmayL2frmHa8FbYfCxOcTsje1C3UhiWVRPhi/sdN0bV7OSlrEVERIquPF3K37NnT/byyiuv0LRpU/7++29OnTrFqVOn+Pvvv2nevDkvv/xyYecrUqRElQ5g2rBWBPpaWL77JI/P3YDdbjgHmUzYb3oZGvYFewZ8PgQOrfVOwiIiIkVYvvuYPv/883zwwQfUqfPvAON16tTh3Xff5bnnnivQ5ESKg4YVQ/loSAt8zCa+2XiEV7772zXIZIbeE6B6B0g/C7P6wcldHs9VRESkKMt3YXrkyBEyMlzHZczMzOTYsWMFkpRIcdOuVgRv92sCwOQ/9/Dx77tdg3x8of8MKNcYkk/AzD6QqN8ZERGRLPkuTDt16sS9997L2rX/Xopcs2YN999/PzfddFOBJidSnPRuVpFnutcF4JXv/ubL9Ydcg/xCYPACKFUVTu91zA6VkuDRPEVERIqqfBemU6ZMoVy5crRs2RKbzYbNZqN169aULVuWTz75pDByFCk27rmhOsPaVgXgiXkbWLbrpGtQUCQMXggB4XB0I3w+GDLSPJuoiIhIEZSnu/JzioiI4LvvvmP79u38888/ANStW5fatWsXeHIixY3JZOL5nvWJS0zl241HeOCz9TxQx01gmRqO2aGm3Qx7fnPcrd/nYzBraGEREbl65bswzVK7dm0VoyJumM0mxvVvwsmkVFbsPsXEvy10P51M9chQ58CKzeGOGTC7P2ye7ziT2vVVMJm8k7iIiIiX5bswHT58+EVfnzJlymUnI1JS2HwsTBzSkv4fLWPbsSRGTF/LggfaUjrQ1zmwZifH3foL74YVH0JwOWj7iHeSFhER8bJ8Xzc8ffq00xIXF8cvv/zCwoULOXPmTCGkKFI8hfpb+WRoc8J8DfacTGbE9FjOpWW6BjbuD13GOh4veQE2zPFsoiIiIkVEvs+YLlq0yGWd3W7n/vvvp0aNGgWSlEhJUS7Ej/vrZfLhdj/W7T/Dw5+t5aPBLfCxXPA34XUPQ+JRWD4evnzQcWNULY1yISIiV5cCudPCbDbz2GOPuUxdKiJQLgA+GtQMm4+Zn/6O4/kvN2MYhmtg55ehUX/H7FBzh8KhNZ5PVkRExIsK7BbgXbt2uR14X0SgZZVSvH9nM8wm+GzVAd7/eYdrkNkMt/4PanT8d3aoEzs9n6yIiIiX5PtS/mOPPeb03DAMjhw5wrfffkt0dHSBJSZS0nRrWI4xtzbk+S82895POygb4seA1pWdg3x8of+njmGkjqyHmbfBiJ8guKxXchYREfGkfBem69atc3puNpuJiIjgnXfeueQd+yJXuyHXVuFYfArjf93J/y3aRESQjZvqX1B02oJh0HyY3BlO74FZt0PMd45Zo0REREqwfBemv/76a2HkIXLVeLxLbY4lpDBvzUEe+mwts+++luaVSzkHBUXAkIUwuQsc3QSfD3IUqz427yQtIiLiAfnuY9qxY0e3w0IlJCTQsWPHgshJpEQzmUy82qcRHepEkJJuZ8S0WHYdT3INLF3dUYz6BsGe32HRvWC3ez5hERERD8l3Ybp06VLS0lzn9U5JSeGPP/4okKRESjqrxcyHg5rTpFIop5PTGTp5FXEJKa6BFZrCHTPBbIUti+CHZ8DdHf0iIiIlQJ4v5W/cuDH78datWzl69Gj288zMTBYvXkzFihULNjuREizA14fJMa3oO2EZe08mEz01lrn3Xkuwn9U5sMaNcNtHsGAErPwIgspCu8fcb1RERKQYy3Nh2rRpU0wmEyaTye0le39/fz744IMCTU6kpAsPsjF9eGtun7CMv48kcN/MNUyNaY2vzwUXMxr1haQ4xxnTn8c4itNmg7yTtIiISCHJc2G6Z88eDMOgevXqrFq1ioiIiOzXfH19iYyMxGKxFEqSIiVZlTKBTIlpxZ2TVvDXzpP8Z/4G3u3fFLPZ5BzY5gFIOgp/vQ9fPQyBEVC7i3eSFhERKQR5LkyrVKkCOKYfFZGC1bhSGBMGt2DEtFi+XH+YsiF+PNujnmtgp9GQeAw2zoF50RD9NVRq6fF8RURECkOeCtOvvvqK7t27Y7Va+eqrry4ae8sttxRIYiJXm/a1I3jj9sY8Pm8Dk37fTdkQP0ZcX805yGyGW8dD8gnY+ZNjdqgRP0J4Le8kLSIiUoDyVJj27t2bo0ePEhkZSe/evXONM5lMZGZmFlRuIled21tU4lhiCm8u3sbL32wlMthGryYVnIMsVug3Hab3gsNrYUYfR3EaUt47SYuIiBSQPA0XZbfbiYyMzH6c26KiVOTK3d++BtFtHF1nHp+7gWW7TrgG2YJg0DwoXQPi98OsvpAS7+FMRURECla+xzEVkcJlMpl4oVcDejQqR1qmnXs/XcPWwwmugYHhjtmhgsrCsc3w2UBIdzMWqoiISDGRp0v5//3vf/O8wZEjR15WIq+//jrPPPMMjzzyCO+9995lbUOkpLCYTYzr35QTSatYtecUMVNXsfCB66hUKsA5sFRVx5nTqT1h35+w6B7oOxXMGiFDRESKnzwVpu+++26eNmYymS6rMI2NjWXixIk0btw43z8rUlL5WS18PKQl/SYuY/uxJKKnrGL+fddRKtDXObB8E7hzluNy/tYv4funoMdbYDK537CIiEgRlafCdM+ePYWWQFJSEoMGDeLjjz9m7NixhbYfkeIoNMDKtGGt6fPhMnYdP8tdn65m1l3X4Ge94Ixo9fZw20SYPxxiP4bgcnDDE95JWkRE5DLleRxTd4zzc3abruDMzIMPPkjPnj256aabLlmYpqamkpqamv08IcHR7y49PZ309PTLziGvsvbhiX0VN2ob9wqiXSICfZg8tBkDPollzb7TPDx7LR/c2QTLhQPw1+mFucsrWH58Fn55mQz/cIymRXd2KB0z7qldcqe2cU/tkju1jXuebpf87MdkZFWX+TB58mTeffddduzYAUCtWrUYNWoUd911V762M2fOHF555RViY2Px8/OjQ4cONG3aNNc+pqNHj2bMmDEu62fPnk1AQICbnxApOXYmwIStFjIME23L2ulXze72an29w3Opfewb7JhZVf0RjoU283yyIiIi5yUnJzNw4EDi4+MJCQm5aGy+C9MXXniBcePG8fDDD9OmTRsAli9fzvjx43n00Ud56aWX8rSdAwcO0LJlS5YsWZLdt/RSham7M6ZRUVGcOHHikm+0IKSnp7NkyRI6d+6M1Wot9P0VJ2ob9wq6XRZvOcbIzzdgGDCqU00e7FDdNcgwsHzzMOaNczB8/MkctBCjUqsr3ndB0zHjntold2ob99QuuVPbuOfpdklISCA8PDxPhWm+L+VPmDCBjz/+mAEDBmSvu+WWW2jcuDEPP/xwngvTNWvWEBcXR/PmzbPXZWZm8vvvvzN+/HhSU1OxWJz70dlsNmw2m8u2rFarRw84T++vOFHbuFdQ7dKraSVOJWfw4ldbeO/nnVQIC6B/qyjXwFvHw7lTmHb8iM/cgTD8B4ioc8X7Lww6ZtxTu+RObeOe2iV3ahv3PNUu+dlHvscxTU9Pp2VL17m5W7RoQUZGRp6306lTJzZt2sT69euzl5YtWzJo0CDWr1/vUpSKiEP0dVW5v0MNAJ5ZtIlf/jnmGmSxQr9pULElnDvtmB0q4bBnExUREcmnfBemQ4YMYcKECS7rJ02axKBBeb/RIjg4mIYNGzotgYGBlClThoYNG+Y3LZGrypNd69CneUUy7QYPzlrH+gNnXIN8A2HgXChTExIOwszb4ZybOBERkSLisu7Knzx5Mj/++CPXXnstACtXrmT//v0MHTqUxx57LDtu3LhxBZOliDgxmUy8cXtjTiSl8fv24wyfFsv8+9pQPSLIOTCwDAxeCJO7QNxWmDPQ8dzq553ERURELiLfhenmzZuz+4Xu2rULgPDwcMLDw9m8eXN23OUMIbV06dJ8/4zI1cpqMTNhUHPunLSCTYfiiZ66igX3X0dk8AVFZ6kqMHgBTO0O+/6ChXdBv+maHUpERIqcfBemv/76a2HkISKXIdDmw5SYVtw+YRn7TyUzfFosc+5pQ5Dtgl/tcg3hztkwsw/8/TV89wT0HKfZoUREpEjJdx9TESlaIoJtTB/emtKBvmw+lMD9M9eQlmF3DazWDvp8DJhg9RT4/S2P5yoiInIx+S5MU1JSeOutt+jRowctW7akefPmTouIeF618ECmxLTC32rhjx0neHrBRtwOUdygN/Q4X5D++gqsmebJNEVERC4q35fyR4wYwY8//kjfvn1p3br1FU1HKiIFp2lUGB8Obs5d01ezcN0hIkP8eLp7XdfA1ndD4lH442345lEIjIS6PTyfsIiIyAXyXZh+8803fPfdd7Rt27Yw8hGRK3BjnUhe79OI/8zfyEe/7aJciI2YttVcAzs+B0lHYd1MmD8Mhn4Jla/1fMIiIiI55PtSfsWKFQkODi6MXESkAPRrGcUTXWoDMOabrXy78YhrkMkEN78PtbtBRgrMvgPi/vZwpiIiIs7yXZi+8847PPXUU+zbt68w8hGRAvDgjTUZcm0VDAMe/Xw9K3afdA2y+EDfqVCpFaSccQzAH3/I47mKiIhkyXdh2rJlS1JSUqhevTrBwcGULl3aaRER7zOZTIy+pQFdG5QlLdPO3Z+u5p+jCa6BvgGO2aHCa0PCofOzQ532fMIiIiJcRh/TAQMGcOjQIV599VXKli2rm59EiiiL2cT7dzZj8CcrWb3vNDFTYln4wHVUCPN3DgwofX52qM5w/G/4bAAMWQRWf/cbFhERKST5LkyXLVvG8uXLadKkSWHkIyIFyM9q4ZPolvT9aDk745KInrKKefe1ISzA1zkwLMoxO9SU7rB/OcwfAf0/dVzuFxER8ZB8X8qvW7cu586dK4xcRKQQhAX4Mn14a8qG2NgRl8Tdn64mJT3TNbBsAxjwGVhssO1b+O5xcDcWqoiISCHJd2H6+uuv8/jjj7N06VJOnjxJQkKC0yIiRU/FMH+mD29NsM2H2L2nGTVnPZl2N0Vn1bZw+ydgMjsG31/6usdzFRGRq1e+C9Nu3bqxfPlyOnXqRGRkJKVKlaJUqVKEhYVRqlSpwshRRApA3XIhTBraEl+LmcVbjjLm6y3uZ4eqfwv0eNvx+LfXHdOXioiIeEC+O5D9+uuvhZGHiHhAmxplGHdHEx7+bB2fLt9H2RA/HryxpmtgqxGO2aF+fxO+fdwxO1S9mz2fsIiIXFXyXZi2b98+19c2b958RcmISOG7uXEF4hJSeembrbz1wzbKhvjRt0Ul18Abn4WkY7B2OswfDkO/gCrXeTxfERG5euT7Uv6FEhMTmTRpEq1bt9ad+iLFxPDrq3HvDdUBeGrBRpZui3MNMpmg5zio0wMyU+GzO+HYVg9nKiIiV5PLLkx///13oqOjKV++PG+//TYdO3ZkxYoVBZmbiBSip7rVpXfTCmTaDR6YtZYNB864Bll84PbJEHUNpMQ7BuA/c8DjuYqIyNUhX4Xp0aNHef3116lVqxb9+vUjJCSE1NRUvvjiC15//XVatWpVWHmKSAEzm0282bcJ7WqFk5yWyfBpsew9cdY10DcABsyBiLqQeNhRnCaf8nzCIiJS4uW5MO3Vqxd16tRh48aNvPfeexw+fJgPPvigMHMTkULm62NmwuAWNKgQwsmzaURPXcWJpFTXwIDSjgH4gyvAiW0w+w5IS/Z8wiIiUqLluTD9/vvvGTFiBGPGjKFnz55YLJbCzEtEPCTI5sPUYa2oVMqffSeTGT4tlrOpGa6BoZVgyELwC4WDqxw3RGW6iRMREblMeS5M//zzTxITE2nRogXXXHMN48eP58SJE4WZm4h4SGSwH58Ob02pACsbD8Zz/6y1pGfa3QTWgwGfg48fbP8evhml2aFERKTA5Lkwvfbaa/n44485cuQI9957L3PmzKFChQrY7XaWLFlCYmJiYeYpIoWsekQQU2Ja4Wc18/v24zy9YJP7AfirtHHcEGUyw7oZ8Ournk9WRERKpHzflR8YGMjw4cP5888/2bRpE48//jivv/46kZGR3HLLLYWRo4h4SLPKpfjfwOZYzCYWrD3I2z9ucx9Y72bHUFLgGIQ/9hPPJSkiIiXWFY1jWqdOHd58800OHjzIZ599VlA5iYgXdapXlld6NwTgf7/uYsbyve4DWw6DDs84Hn/7BGz90jMJiohIiXXFA+wDWCwWevfuzVdffVUQmxMRL7uzdWUevak2AC98tYXFm4+4D2z/FLQYBhiw4C7Y+6fnkhQRkRKnQApTESl5RnaqyYDWlTEMGDlnPav2uBm71GSCnu9A3ZshMw0+GwjHtng+WRERKRFUmIqIWyaTiZdvbcBN9cqSlmHnrumxbD/m5iZHswVu/wQqXwepWbND7fd8wiIiUuypMBWRXPlYzHwwoBnNK4eRkJJB9JRVHIk/5xpo9YcBsyGiHiQegRl9NDuUiIjkmwpTEbkof18Lk6NbUSMikCPxKcRMiSX+XLqbwFKO2aFCKsHJHTC7P6S5meJUREQkFypMReSSSgX6Mn14ayKDbWw7lsjdn64mJT3TNTC04vnZocLgYCzMGwaZbopYERERN1SYikieVCoVwNRhrQiy+bBqzykem7seu93NAPwRdWDgXMfsUDt+gK9HaXYoERHJExWmIpJnDSqEMmlIC6wWE99tOspL32x1PztU5Wug71TH7FDrZ8IvL3s+WRERKXZUmIpIvlxXM5x3+jcFYNqyvUz8fbf7wLo94Ob3HI//eAdWTvRIfiIiUnx5tTCdMGECjRs3JiQkhJCQENq0acP333/vzZREJA9uaVKB53rWA+D17/9h4dqD7gNbRMONzzkef/8UbFnkoQxFRKQ48mphWqlSJV5//XXWrFnD6tWr6dixI7feeitbtmiAbpGi7q521bnr+moAPDl/I79vP+4+8IYnoNVdgAEL74E9v3suSRERKVa8Wpj26tWLHj16UKtWLWrXrs0rr7xCUFAQK1as8GZaIpJHz/aoxy1NKpBhN7h/5ho2H4p3DTKZoPubUO8Wx+xQcwbB0U2eT1ZERIo8H28nkCUzM5N58+Zx9uxZ2rRp4zYmNTWV1NTU7OcJCQkApKenk55e+EPSZO3DE/sqbtQ27l0N7fJq7/ocT0xh+e5TRE9Zxdx7WlO5dIBr4C0fYjl7HPP+5Rgz+pAx+BugZLfN5bgajpnLpbZxT+2SO7WNe55ul/zsx2S4vaXWczZt2kSbNm1ISUkhKCiI2bNn06NHD7exo0ePZsyYMS7rZ8+eTUCAm/8IRcQjUjLgv1ssHEo2Ee5n8GjDTIKsrnE+GWe5fserhKYcIMlWjj9qPUeaNcTzCYuIiMckJyczcOBA4uPjCQm5+He+1wvTtLQ09u/fT3x8PPPnz+eTTz7ht99+o379+i6x7s6YRkVFceLEiUu+0YKQnp7OkiVL6Ny5M1arm/91r2JqG/eupnaJS0yl/6SVHDqTQuOKIcwY3pIAXzcXZRKP4DOtO6aEg5wOqI7tniVYA0M9n3ARdTUdM/mltnFP7ZI7tY17nm6XhIQEwsPD81SYev1Svq+vLzVr1gSgRYsWxMbG8v777zNxouvQMjabDZvN5rLearV69IDz9P6KE7WNe1dDu1QsbWX68Gvo+9EyNh5KYNTcTUwa2hKr5YKu7KUrw5BFGFO6UCp5N/av78U8cA5YSnb75NfVcMxcLrWNe2qX3Klt3PNUu+RnH0VuHFO73e50VlREio+akUFMjm6JzcfMr9uO83+LNrkfgD+iNpl3fEaGyRfzrp/gq5GaHUpERLxbmD7zzDP8/vvv7N27l02bNvHMM8+wdOlSBg0a5M20ROQKtKhSmvEDm2M2wdzVB3l3yXa3cUbFlqyu9hCGyQIbZsNPoz2bqIiIFDleLUzj4uIYOnQoderUoVOnTsTGxvLDDz/QuXNnb6YlIleoc/2yjO3dCID//rKTWSv3uY07FtqUzJ7vOp789R6smOChDEVEpCjyah/TyZMne3P3IlKIBl5TmaMJKfz35x08/8VmwoNsdG1QziXOaDIQko/DLy/D4mcgKBIa3u6FjEVExNuKXB9TESk5Hr2pFne2isJuwMjP1rF67yn3ge0eh9b34Jgd6l7YvdSTaYqISBGhwlRECo3JZGJs74Z0qhtJaoadEdNXszMu0V0gdHsd6vcGezrMGQxHNng8XxER8S4VpiJSqHwsZj4Y2IymUWHEn0snekosxxJSXAPNFrhtIlRtB2mJMLMvnNrj+YRFRMRrVJiKSKEL8PVhSkwrqocHcujMOaKnrCIxxc0UdVY/uHMWlG0IZ+NgZh9IOu75hEVExCtUmIqIR5QO9GX68NZEBNv452gi989eT4bdTaBfKAyaD6GV4dRumN0PUpM8nq+IiHieClMR8Zio0gFMjWlFoK+FlXtOM3OnGbvdzcD6IeVhyELwLw2H18HcoZCR5vmERUTEo1SYiohHNawYykdDWuBjNrHupJnXf3A/AD/htWDQPLAGwK6f4auHwO7uFKuIiJQUKkxFxOPa1Yrg9T4NAZi6bB8f/77bfWClltD/UzBZYOPn8NOLHsxSREQ8TYWpiHjFrU3Kc0vlTABe+e5vvlx/yH1grc5w63jH42X/heX/81CGIiLiaSpMRcRrOlYwiG5TGYAn5m3gr50n3Ac2HQg3jXY8/uFZ2DjPMwmKiIhHqTAVEa8xmeDZbnXo2bg86ZkG985Yw5bD8e6D246Ca+5zPP7iftj1i8fyFBERz1BhKiJeZTabGNe/CddWL01SagYxU2M5cCrZNdBkgq6vQYM+jtmhPh/iuGNfRERKDBWmIuJ1Nh8Lk4a2pG65YI4nphI9ZRWnzroZHspshts+gmo3QFoSzOrnGOtURERKBBWmIlIkhPhZmTasNRXD/Nl94iwjpsdyLi3TNdDHBnfMgnKN4OxxmNEHkuI8n7CIiBQ4FaYiUmSUC/Vj+vBWhPpbWbf/DA/NXktGppuxS/1CYNACCKsCp/fArL6Qmuj5hEVEpECpMBWRIqVmZDCTo1ti8zHz8z9xPPfFZgzDzexQwWVhyCIIKANHNjj6nGp2KBGRYk2FqYgUOS2rlub9O5thNsGc2AO8//MO94FlapyfHSoQdv8KXz6g2aFERIoxFaYiUiR1a1iOMbc6Zod676cdfLZqv/vAii3gjk/B7AOb5sGS5z2YpYiIFCQVpiJSZA25tgoP3VgTgP9btImfth5zH1jzJrj1/IxQy8fDsg88lKGIiBQkFaYiUqQ93qU2/VpUwm7AQ5+tZe3+0+4Dm9wJnV9yPP7xOdjwueeSFBGRAqHCVESKNJPJxKt9GtGhTgQp6XZGTItl1/Ek98HXjYRrH3Q8/vIB2PmT5xIVEZErpsJURIo8q8XMh4Oa06RSKKeT0xk6eRVxCSmugSYTdBkLDfuCPQM+HwqH1no+YRERuSwqTEWkWAjw9WFKTCuqlgng0JlzRE+NJTEl3TXQbIbeE6B6B0g/65gd6uQuj+crIiL5p8JURIqNMkE2Ph1+DeFBvvx9JIH7Zq4hLcPN8FA+vnDHTCjfBJJPwIzbIDGXG6dERKTIUGEqIsVK5TIBTI1pTaCvhb92nuSJeRuw290MwG8LhkHzoVRVOLPPMTtUSoLH8xURkbxTYSoixU6jSqFMGNwCH7OJrzYc5rXv/3YfGBQJgxdCYAQc3QifD4aMVM8mKyIieabCVESKpRtqR/DG7Y0B+PiPPXzyx273gVmzQ/kGwZ7fYNF9mh1KRKSIUmEqIsXW7S0q8WS3OgCM/fZvvt5w2H1ghWZwxwzH7FBbFsIPz4Lh5vK/iIh4lQpTESnW7m9fg+g2VQB4fO4Glu064T6wRkfH3foAKyfAX+97KEMREckrFaYiUqyZTCZe6NWAHo3KkZZp595P17D1cC43OTXuD11ecTz+6UVY/5nnEhURkUtSYSoixZ7FbGJc/6a0rlaaxNQMYqau4uDpZPfB1z0E1z3sePzlg7BjiecSFRGRi1JhKiIlgp/VwsdDWlK7bBBxialET1nF6bNp7oNvegka9QcjE+YOhYNrPJusiIi45dXC9LXXXqNVq1YEBwcTGRlJ79692bZtmzdTEpFiLDTAyvThrSkf6seu42e569PVpKRnugaazXDr/xz9TtOTYXY/OLHT8wmLiIgTrxamv/32Gw8++CArVqxgyZIlpKen06VLF86ePevNtESkGCsf6s/04a0J8fNhzb7TPPzZOjIyc5kdqv8Mxx37ySdh5m2QeNTzCYuISDavFqaLFy8mJiaGBg0a0KRJE6ZNm8b+/ftZs0aX1UTk8tUuG8wn0a3w9TGzZOsxXvhqC4a74aFsQTBwHpSuDmf2w8y+kBLv+YRFRAQoYn1M4+Md/yGULl3ay5mISHHXulpp3r+jKSYTzF65n/G/5HKpPiji/OxQkXBsE8wZpNmhRES8xMfbCWSx2+2MGjWKtm3b0rBhQ7cxqamppKb++x9GQoJjSJj09HTS09MLPcesfXhiX8WN2sY9tUvuPNE2N9UN5/kedXnp2394Z8l2ygRa6deiomtgcCW4cw4+M27BtPcP7AvuJvO2j8Hk+b/ddczkTm3jntold2ob9zzdLvnZj8lwe33L8+6//36+//57/vzzTypVquQ2ZvTo0YwZM8Zl/ezZswkICCjsFEWkmPp6n5mfDpsxY3BXXTsNSrn/2otI2My1u9/BbGSyO6IzmyoOBpPJw9mKiJQsycnJDBw4kPj4eEJCQi4aWyQK04ceeogvv/yS33//nWrVquUa5+6MaVRUFCdOnLjkGy0I6enpLFmyhM6dO2O1Wgt9f8WJ2sY9tUvuPNk2hmHw1MLNLFp/BH+rmRnDW9GkUqjbWNOWhfh8cQ8AmR2ew952VKHmdiEdM7lT27indsmd2sY9T7dLQkIC4eHheSpMvXop3zAMHn74YRYtWsTSpUsvWpQC2Gw2bDaby3qr1erRA87T+ytO1DbuqV1y56m2ebNfU04mZ/D79uPcM3Md8+9rQ/WIINfApndAyilY/DSWpWOxhFaAZoMKPb8L6ZjJndrGPbVL7tQ27nmqXfKzD6/e/PTggw8yc+ZMZs+eTXBwMEePHuXo0aOcO3fOm2mJSAlktZiZMKg5jSqGcupsGtFTVxGXmOI++Nr7oe0jjsdfPQzbf/BcoiIiVzGvFqYTJkwgPj6eDh06UL58+ezl888/92ZaIlJCBdp8mBLTiiplAjhw6hzDp8WSlJrhPvimMdBkwPnZoaLhQKxnkxURuQp5tTA1DMPtEhMT4820RKQEiwi2MX1Ya8oE+rL5UAL3z1xDWoabAfhNJrjlA6h5E2Scc8wOdXy75xMWEbmKFKlxTEVEPKFqeCBTYlrhb7Xwx44TPLVgI3a7m/tALVboNx0qNIdzp2Hm7ZBwxPMJi4hcJVSYishVqUlUGB8Obo7FbGLRukO88cM/7gNtQTBoHpSuAfH7HcXpuTMezVVE5GqhwlRErlo31onk9T6NAJj4226m/rXHfWBgOAxZCEFlIW6LY3ao9FxunBIRkcumwlRErmr9WkbxRJfaALz0zVa+3ZjLpfpSVWHQfPANhn1/wsK7wZ7puURFRK4CKkxF5Kr34I01GXJtFQwDHv18PSt2n3QfWL4xDJgNFl/4+yv4/knw/hwlIiIlhgpTEbnqmUwmRt/SgK4NypKWaefuT1fzz9EE98HVboDbJgImiP0E/njbo7mKiJRkKkxFRACL2cT7dzajZZVSJKZkEDMllsNncpnso2Ef6P6G4/EvY2Htp55LVESkBFNhKiJynp/VwifRLakZGcTRhBSip6ziTHKa++Br7oXrH3M8/voR2Pa95xIVESmhVJiKiOQQFuDL9OGtKRfix464JO7+dDUp6bnc5NTpBWg6CAw7zIuB/Ss9mquISEmjwlRE5AIVw/yZNrwVwX4+xO49zSNz1pHpbgB+kwl6vQ+1ukBGCnx2Bxzf5vmERURKCBWmIiJu1C0XwqQhLfG1mPlhyzFGf7UFw90d+BYr9JsGFVs6Zoea0QfiD3k8XxGRkkCFqYhILtrUKMO4O5pgMsGMFfv4cOku94G+gTBwLpSpBQkHYVZfR5EqIiL5osJUROQibm5cged71gfgrR+2MW/1AfeBgWXOzw5VDuK2wmcDIT2Xu/pFRMQtFaYiIpcw/Ppq3HtDdQCeXriJpdvi3AeGVYbBC8AWCvuXwYK7NDuUiEg+qDAVEcmDp7rVpXfTCmTaDR6YtZYNB864DyzX8N/Zof75Br59XLNDiYjkkQpTEZE8MJtNvNm3Ce1qhZOclsnwabHsPXHWfXDV66HPx4AJ1kyF3970aK4iIsWVClMRkTzy9TEzYXALGlQI4eTZNKKnruJEUqr74Aa9ocdbjsdLX4XVUz2Wp4hIcaXCVEQkH4JsPkwd1oqo0v7sO5nM8GmxnE3NcB/c+m644T+Ox98+Bv9867lERUSKIRWmIiL5FBnsx/RhrSkd6MvGg/HcP2st6Zl298E3/h80G+KYHWr+cNi/wrPJiogUIypMRUQuQ/WIICZHt8TfauH37cd5asFG9wPwm0xw83tQu7tjdqjZ/SHub4/nKyJSHKgwFRG5TM0ql+J/g5phMZtYuPYQb/2Qy3SkFh/oOwUqtYaUeJh5O8Qf9GyyIiLFgApTEZEr0LFuWV69rSEAHy7dxfRle90H+gbAwM8hvA4kHHIUp8mnPJeoiEgxoMJUROQK3dGqMo/eVBuA0V9vYfHmI+4DA0o7BuAPLg/H/4HPBmh2KBGRHFSYiogUgJGdajKgdWUMA0bOWc+qPbmcDQ2L+nd2qAMrHDdEZeZyV7+IyFVGhamISAEwmUy8fGsDbqpXlrQMO3dNj2X7sUT3wWUbwIDPwGKDbd85hpLS7FAiIipMRUQKio/FzAcDmtG8chgJKRlET1nFkfhcLtVXbQt9J4PJDGunw9ePwOH1cGQDocl74cgGx/PD6+HMAc+9CRERL/LxdgIiIiWJv6+FydGt6PvRMnYdP0vMlFjm3teGUH+ra3C9Xo5xTn952VGcrp2OFegAkPMGfx8bPLTG0Q1ARKQE0xlTEZECVirQl+nDWxMZbGPbsUTu/nQ1KemZ7oNr3nTpDWakQvLJgk1SRKQIUmEqIlIIKpUKYNqw1gTbfFi15xSPzV1Ppl39SEVELkaFqYhIIalfIYSJQ1pgtZj4btNRXv5mq/vZofJi7aewbibs+gXi/nEM1K8bpkSkhFEfUxGRQnRdzXDe6d+UkZ+tY9qyvZQN8eP+DjXyv6HVkx1LTtZACKkAIeUh+Py/IRUd46RmPQ6MALOlYN6MiEghU2EqIlLIbmlSgbiEFMZ++zdvLP6HsiE2+jSvlL+N1OkOGWmQeMQxc1RKPKSfhZM7HEtuTBYILne+WK3gWNw9tvpf2ZsUESkAKkxFRDzgrnbVORqfwid/7uHJ+RsJD7JxQ+2IvG+g/dNQoem/z9OSzxephx1L4mFIOHL+3/OPk46CkekoZBMOwaGLbN8vzHGGNaT8BYVrjjOyAaXBZLrMFhARuTSvFqa///47b731FmvWrOHIkSMsWrSI3r17ezMlEZFC82yPesQlpvLVhsPcP3MNn9/bhoaXW+f5BkCZGo4lN/ZMSIrLpXA9/G9hm54MKWccS9yW3LdnseXoNpBLF4LgcmBxMzSWiEgeeLUwPXv2LE2aNGH48OH06dPHm6mIiBQ6s9nEW/0acyIplWW7ThIzdRVfDq5CRR+bY0io3PjYIKDMZezQcr5oLA+0cB9jGI5uAU5nX4/k+PeQo6BNPgGZqXB6r2PJlcnRr9Wpq0DOvq/n1/mF5P/9iEiJ59XCtHv37nTv3t2bKYiIeJTNx8LEIS3oP3EFfx9JYNC8QywavpxSOKYvTc/I4K+//qJt27ZYfc5/RQeUKbzB9U0m8A9zLJH1co/LSIXEoxecfc1RuGats6fD2TjHcmR97tvzDc7RbSCXLgSBEWDW4DEiV5Ni1cc0NTWV1NR/zyokJCQAkJ6eTnp6eqHvP2sfnthXcaO2cU/tkruruW38LPDJkGb0n7SSvSeTiV5wmBnDWxLg60N6ejrxAYdID68P1hyXxL3eTmYIquBYcmPYHRMBJB7BdH4h4fy/SUcwnT8La0pNgLREOJEIJ7bnvjmzDwSVxQg+f5Y1MJKaxxKxb0gio1QljODzxayPXyG83+Ljav5duhS1jXuebpf87MdkXPagegXLZDJdso/p6NGjGTNmjMv62bNnExAQUIjZiYgUvGPn4L3NFpIzTNQPszO8tp29SSYS0iHECjVCDMwl8F4jS2Yqfumn8E8/jV/6afzTTjn+Pf/csZzBRN7+e0q1BJFiLUWKbynOWUuRYi19/t9SnPMtTYq1FOmWQN24JeIlycnJDBw4kPj4eEJCLt6Np1gVpu7OmEZFRXHixIlLvtGCkJ6ezpIlS+jcuTNWqzr356S2cU/tkju1jcO6/WcYOm01Kel2/K1mzqXbs18rF2LjuR516dqgrBcz9BJ7BiTFOc62nj/7aj9zkKM71lEhCMxnjzrOxmacy9PmDB8/CC6ffZY1+9/zfV6N4PIQVBbMxepCIqDfpYtR27jn6XZJSEggPDw8T4VpsfoNtNls2Gw2l/VWq9WjB5yn91ecqG3cU7vk7mpvm9Y1Ihh2XTUm/LbLqSgFOJaQysNzNjBhcHO6NSzvpQy9xQq2KlCmSvYae3o6a9O/o1yPHlis1vM3bp1x9G3NbcisxMOQfBJTRgqc3oPp9J6L7NPkKE6dRhu4YMiskApgCyr0d385rvbfpYtR27jnqXbJzz6KVWEqIlLSZNoNvljvfoBRAzABY77eSuf65bCUxOv6V8JkAv9SjqVs/dzj0lMcN2o5jTaQcwSC8wWsPcMx9mvSUWBd7tuzhbgZbSDnMFoVICBcN26JXAavFqZJSUns3Lkz+/mePXtYv349pUuXpnLlyl7MTETEM1btOcWR+JRcXzeAI/EpdHn3N6qFBxIeZDu/+BIR7Ed4kC/hwY51IX4+mNSP0pXVD0pXcyy5sdsdQ2K5TFiQc+SBI5Ca8O9yYlvu2zNbcxSsbmbayrpxy3p137glciGvFqarV6/mxhtvzH7+2GOPARAdHc20adO8lJWIiOfEJeZelOa06/hZdh0/e9EYXx8z4YH/FqqO4tWWo5i1ERHsS3iQjVB/q4rYnMxmCIp0LDln2LpQaqLz8FgXdhtIOAJJxxzDZsXvdywXE1Dm4t0GQso7ZuXSZyVXCa8Wph06dKCI3HslIuIVkcF5O2P2eOfalAmycSIp9d8lMY0TSakcT0wlMTWDtAw7h+NTOHyRM7BZrBYTZQJthAf7EpFVuOYsaHM8D/O3YlY3AgdbMEQEQ0Tt3GMy0x3FaW4zbWU9zkhxDK+VfBKObcp9ez7+rt0Gck5Y4B+Bycgs+Pcq4gXqYyoi4kWtq5WmfKgfR+NT3A6OZALKhfrxwI01L9rHNCU983zBmsaJxBzFa1Iax5NSOZGYmv1vQkoG6ZkGRxNSOJpw6SLWx2yidOAFZ19zFrTnn4cH2Sgd4Ksi1mKF0EqOJTeGAedO5z7TVta6c6cg4xyc2u1Y3LACvTDBzrL/dhm4sNtA1iQGvoGF855FCogKUxERL7KYTbzYqz73z1yLCZyK06zy7sVe9S9545Of1UKlUgFUKnXpMZ1TMzI5mZTmdOb1+PkzrzkL2hNJqZxJTifDbhCXmEpc4kWmTc3xfkoH+ro58+qbozuB49/Sgb5X7w1dJhMElHYs5RrmHpd+LscNWm5m2ko4jJF0FFPOG7cOr819e7ZQN90Gcs6+VcHRvUA3bomXqDAVEfGybg3LM2Fwc8Z8vdXpRqhyoX682Kt+gQ8VZfOxUCHMnwph/peMTcuwc+rs+S4DOYvXxDTnbgVJaZw6m0am3eB4oiPuUswmchSxOYrXYJtTQRtxvoi9Kln9oXR1x5KLjLRUfv5qDje1qofPueO5jDxwGNKSIDUejsfD8X9y36fFF4LL5ej76mbkgeDy4HOVfiZSqFSYiogUAd0alqdz/XIs3xnHj3+spEu7a2hTM9LrZxR9fcyUC/WjXOil+8JmZDqK2LhE57OuJy58npTKybNp2A3Or0sDEi+6bZMJwvyt2AwLc46tJiLYL0fXAt9/i9kgG2WCfLFarqIzfiYzqdYwjArNnKexvVBKwsW7DSQchrPHITMNzux3LBcTEO7a3/XCEQj8QnXjluSLClMRkSLCYjZxTbXSnPzb4Jpqpb1elOaXj8VMZIgfkSF5LGKT09yeec3uD5uUxvHEVE6dTcVuwOnkdMDE0d2nLrn9sACr67BaQVlnYn2dRirw9blKili/EMcSUSf3mMx0SDzqptvABSMPZKY6htdKPgFHL3LjljXATcF6wcgDQZFgthT8+5ViSYWpiIh4nI/FTGSwX55GJci0G5xOTuPo6bN898ufVG/QlDPnMs7fzPXvzV1ZZ2Iz7QZnktM5k5zOzrhL5xLi5/Pv2dfsM685itccfWT9rCW8gLJYISzKseTGMCD5lJshs3JMWJBwyDErV3oynNzpWHJjsvw745bbIbPOF7a+l+4/LcWfClMRESnSLGaTY+xVm5ldYQY9mpTPdYpDu93gzLn07C4E//aLveDMbGIaJ8+mkp5pkJCSQUJKxiXHiQUI9vPJMbyW85nXnOPGRgSX4CLWZILAMo6lXKPc49KSnWfcctf3NfEoGJmO4jbxMBxak/v2/EJzn2kr6waugNLqOlDMqTAVEZESw3x+VIDSgb7ULht80VjDMIg/X8Qev+DMq2sf2TTSMu0kpmSQmJLB7hOXLmKDbD4XnHn1dRqVIGfXggDfEvjfsW8AlKnhWHJjz4SkuFxm2vp35AHSz0JKvGOJ25r79iw2x41b5wtWc2BZqsedwbQ1DUpVdhS0QeV041YRVgJ/E0RERC7NZDIRFuBLWIAvNSMvHmsYjjOrTkNqXXAm9niO/rFpGXaSUjNISs1g78nkS+YS4GtxGpnAuWuBc7eCQF9LyZm1y2w5fwm/PFTMJcYwHFPA5tbfNeGQo6A9e9zR9/XMPscCWIBGAItmO28zMCL3mbayHvuFFOIbl9yoMBUREbkEk8lEqL+VUH8rNSODLhprGAaJqRkuhaujaE27YLzYVFLS7SSnZbL/VDL7T126iPWzmp3Hgw2wcuaImVMr91M2NMBppIJgm0/xL2JNJsdlfL9QiKybe1xGmmMc1xxdBTLPHODItrVUCDZhzupWkJnmKGLPHocjG3Lfnm+Q+5m2ct7IFRihG7cKmApTERGRAmQymQjxsxLiZ6V6xMVjDcPgbFqmUxeCnGdeLxxqKzktk5R0OwdPn+Pg6XM5tmTmh0OuY5PafMzuz7yeL1xzFrghfsW8iPXxhbDKjuU8e3o6a9K+o2yPHpit1vM3bp10M2RWjm4DiYcdXQbSkuDkDseSG5Pl364D7mbaylpnvfSYweKgwlRERMRLTCYTQTYfgmw+VA2/9HShyWkZ/45EcP7Grrj4c6zZuoPAMuU4dTY9u5BNSs0gNcPOoTPnOHTm3CW37WsxOxWsF45MEBFkI+J8P9lQf2vxLGJNJggMdyzlG+cel3bWuWB1N/JA0vkbtxIOOZaL8S+VY8KCXEYe8C9VuDdunTngKMoBMjIITd7rOGPsc74UDChz8dEYPESFqYiISDER4OtD5TI+VC7z79BJ6enpfJeyjR49mjqNVnAuLTN7xi6XbgU5Zu86nphKYmoGaZl2DsencDjH7GO5sVpMlAl0HZkgIsdsXVkFbpi/FXMxG5MX30AIr+lYcpOZAWfjcilcczxOT4Zzpx1L3Jbct+fjd/7s60VGHggu5xjSK7/OHIDxLSDDMSObFegAsC3n/m3w0BqvF6cqTEVEREogf18LUaUDiCp96fE/U9IznSY4yDkywfHs/rGOfxNSMkjPNDiakMLRhEsXsT7nR0pwnm7W999ht3KMWFAqwLf4TCxh8fm3aKSF+xjDcHQLyOoikNvIA8knICMFTu91LLkyOSYkyG2mrawuBLYLRqRIPpldlOYqI9URp8JUREREvMnPaqFSqQAqlbp0EZuakclJp5u6nLsW5OwTeyY5nQy7QVxiKnGJqXDk4ts2m6B0oLszrxeMGRvsS5lAW9EvYk0m8A9zLGXr5x6XkfpvFwG3Iw+cP/tqT4ekY47lyPrct+cb7NxtwFx8ZjdTYSoiIiJ5ZvOxUCHMnwphl76hJy3DzqmzaU5dCo7n6EaQ88zs6eQ07AbZ6y7FUcRecENXji4E4UG+hPn9f3v3HhRlvcYB/LsLLLvrchXl4gVKlNAE7wQej5YmpjFQx4lTZFiadkaOmnk9jaI2mTqOZsVJy5N4nONBq4OnMdIQAwTxDorKkJKlZxLxFlddLvs7f9huLLwLLLKX3O9nZmd6f/t7333eh2ecp9+++75OqKy//whcE89ksA/OroBX0P2XKTrd/RXNti4bqLoGaCuB+mrgZjVw83trnUGXYWNKREREFqFwlsPPQwk/j/YfPdvYdL+JbfW0rharsPpHz95vYutxs6YeQHUbR3ZG8umD8FIrJFde9dfG6i8t6K5RwMXJDlcY5XJA0+P+yz/c9DxtzW8Nq/6ygWvFwIV068X6ANiYEhERkc05O8nR012Jnu4dbGLr6iVXXg2rsjX1uFF9D7dqtBBChtu19bhdW4/vr9e0e3xPtUurOxP0aHZ9rE+zJtbV2c7uY+qqAVz7Az79fxv7uYiNKREREZElODvJ0dNNiZ5ubTexDQ0N2Pd1BiLHjscvWp1RI3uj+fWx1b+txDbpBH6pa8AvdQ24VNF+LO5KZ6N7wvaQuNWWflvpYmdNrB1iY0pEREQPLbkM6K5xhZ+XC+DX9lydTuCXuw3NntSlX3k1flrXzep63KrVoqHp/qNqq+414ocbte3G4ubq3Oxxsy0uK/j1HrL6SwpUCsdsYtmYEhEREQGQ/3prK+9uCgzwdWtzrhAClb82sTdarLwaXRP76/Wy9U06VGsbUa1txA83229iNa7OLVZeW94zVoEeGiV83BRQK9pp59Td0SRXwElXb3JKk1wBJ3X3duOyNDamRERERGaSyWTwVCvgqVYguGfbc4W4v7JqtPLa4qEHzR9FW9+oQ422ETXaRvx4q67dWNQKJ8k7E/TQKNDDzRVeajXekX0Aob0lfS4AnN188KV7b9h6nZaNKREREZEFyWQyeKhc4KFyQXBPTZtzhRCo1ja2flpX9a/Nq9H9YrW416BDXX0Trtyuw5XbbTWx7r++TKgCjl++jch+tl01ZWNKREREZCdkMhnclS5wV7rg0R5tzxVCoLa+yegSguYrr/rxn27V4Vat6a/x9Sqq23+Sl6WxMSUiIiL6HZLJZNC4OkPj6owgn24m5xWU3cKLnx5t93jt3eXAGuzwDrJERERE1FVGPeINfw8lTD3AVQbA30OJUY94WzMsSWxMiYiIiB5iTnIZkmMGAkCr5lS/nRwzEE5yU62r9bAxJSIiInrITXrcHx+/PKzV42H9PJT4+OVhmPS4v40iM8ZrTImIiIgcwKTH/fH0QD8UXKrAt4ePYeKYCEQG97SLlVI9NqZEREREDsJJLkPEI964VSIQ8Yi3XTWlAL/KJyIiIiI7wcaUiIiIiOwCG1MiIiIisgt20ZimpKQgKCgISqUSEREROH78uK1DIiIiIiIrs3ljunv3bixYsADJyck4ffo0wsPDER0djYqKCluHRkRERERWZPPGdOPGjXj99dfx6quvYuDAgdiyZQvUajU+++wzW4dGRERERFZk09tF1dfX49SpU1i2bJlhTC6XY8KECSgoKGg1X6vVQqvVGrarqqoAAA0NDWhoaLB4vPrPsMZn/d4wN9KYF9OYG2nMi2nMjTTmxTTmRpq182LO58iEEMKCsbTp559/Rq9evXDkyBFERkYaxhcvXoycnBwcO3bMaP7KlSuxatWqVsfZtWsX1Gq1xeMlIiIiIvPU1dXhpZdeQmVlJdzd3duc+7u6wf6yZcuwYMECw3ZVVRX69OmDiRMntnuiXaGhoQGZmZl4+umn4eLiYvHP+z1hbqQxL6YxN9KYF9OYG2nMi2nMjTRr50X/DXdH2LQx9fHxgZOTE65fv240fv36dfj5+bWa7+rqCldX11bjLi4uVi04a3/e7wlzI415MY25kca8mMbcSGNeTGNupFkrL+Z8hk0bU4VCgeHDhyMrKwtxcXEAAJ1Oh6ysLCQlJbW7v/4qBHM68QfR0NCAuro6VFVVscBbYG6kMS+mMTfSmBfTmBtpzItpzI00a+dF36d15OpRm3+Vv2DBAiQmJmLEiBEYNWoU3n//fdTW1uLVV19td9/q6moAQJ8+fSwdJhERERE9gOrqanh4eLQ5x+aNaXx8PG7cuIEVK1agvLwcQ4YMwf79++Hr69vuvgEBAbh69Src3Nwgk8ksHqv+mtarV69a5ZrW3xPmRhrzYhpzI415MY25kca8mMbcSLN2XoQQqK6uRkBAQLtzbd6YAkBSUlKHvrpvSS6Xo3fv3haIqG3u7u4scBOYG2nMi2nMjTTmxTTmRhrzYhpzI82aeWlvpVTP5jfYJyIiIiIC2JgSERERkZ1gY2oGV1dXJCcnS96yytExN9KYF9OYG2nMi2nMjTTmxTTmRpo958WmT34iIiIiItLjiikRERER2QU2pkRERERkF9iYEhEREZFdYGNKRERERHaBjWkzubm5iImJQUBAAGQyGfbu3dvuPtnZ2Rg2bBhcXV0RHByM1NRUi8dpbebmJTs7GzKZrNWrvLzcOgFbyXvvvYeRI0fCzc0NPXv2RFxcHEpLS9vd7/PPP8djjz0GpVKJwYMHIyMjwwrRWldncpOamtqqZpRKpZUito6PP/4YYWFhhptaR0ZG4ptvvmlzH0eoF8D83DhCvUhZu3YtZDIZ5s+f3+Y8R6kbvY7kxVFqZuXKla3O87HHHmtzH3uqFzamzdTW1iI8PBwpKSkdmn/58mVMmTIFTz75JIqKijB//nzMnDkTBw4csHCk1mVuXvRKS0tx7do1w6tnz54WitA2cnJyMGfOHBw9ehSZmZloaGjAxIkTUVtba3KfI0eO4MUXX8SMGTNQWFiIuLg4xMXF4dy5c1aM3PI6kxvg/lNImtfMTz/9ZKWIraN3795Yu3YtTp06hZMnT+Kpp55CbGwszp8/LznfUeoFMD83wMNfLy2dOHECW7duRVhYWJvzHKlugI7nBXCcmhk0aJDReebl5Zmca3f1IkgSAJGent7mnMWLF4tBgwYZjcXHx4vo6GgLRmZbHcnLd999JwCIO3fuWCUme1FRUSEAiJycHJNzXnjhBTFlyhSjsYiICDF79mxLh2dTHcnN9u3bhYeHh/WCshNeXl5i27Ztku85ar3otZUbR6uX6upq0b9/f5GZmSnGjh0r5s2bZ3KuI9WNOXlxlJpJTk4W4eHhHZ5vb/XCFdMHUFBQgAkTJhiNRUdHo6CgwEYR2ZchQ4bA398fTz/9NPLz820djsVVVlYCALy9vU3OcdSa6UhuAKCmpgaBgYHo06dPu6tlv3dNTU1IS0tDbW0tIiMjJec4ar10JDeAY9XLnDlzMGXKlFb1IMWR6sacvACOUzMXL15EQEAAHn30USQkJODKlSsm59pbvTjb5FMfEuXl5fD19TUa8/X1RVVVFe7evQuVSmWjyGzL398fW7ZswYgRI6DVarFt2zaMGzcOx44dw7Bhw2wdnkXodDrMnz8fo0ePxuOPP25ynqmaediuv22uo7kJCQnBZ599hrCwMFRWVmLDhg2IiorC+fPn0bt3bytGbFnFxcWIjIzEvXv3oNFokJ6ejoEDB0rOdbR6MSc3jlIvAJCWlobTp0/jxIkTHZrvKHVjbl4cpWYiIiKQmpqKkJAQXLt2DatWrcKYMWNw7tw5uLm5tZpvb/XCxpS6XEhICEJCQgzbUVFRKCsrw6ZNm7Bz504bRmY5c+bMwblz59q8jsdRdTQ3kZGRRqtjUVFRCA0NxdatW/HOO+9YOkyrCQkJQVFRESorK/HFF18gMTEROTk5JhswR2JObhylXq5evYp58+YhMzPzofyhTmd1Ji+OUjPPPPOM4b/DwsIQERGBwMBA7NmzBzNmzLBhZB3DxvQB+Pn54fr160Zj169fh7u7u8OulpoyatSoh7ZpS0pKwr59+5Cbm9vu/3Wbqhk/Pz9Lhmgz5uSmJRcXFwwdOhSXLl2yUHS2oVAoEBwcDAAYPnw4Tpw4gc2bN2Pr1q2t5jpavZiTm5Ye1no5deoUKioqjL5tampqQm5uLj766CNotVo4OTkZ7eMIddOZvLT0sNZMS56enhgwYIDJ87S3euE1pg8gMjISWVlZRmOZmZltXhPlqIqKiuDv72/rMLqUEAJJSUlIT0/HoUOH8Mgjj7S7j6PUTGdy01JTUxOKi4sfurppSafTQavVSr7nKPViSlu5aelhrZfx48ejuLgYRUVFhteIESOQkJCAoqIiyebLEeqmM3lp6WGtmZZqampQVlZm8jztrl5s8pMrO1VdXS0KCwtFYWGhACA2btwoCgsLxU8//SSEEGLp0qVi2rRphvk//PCDUKvVYtGiRaKkpESkpKQIJycnsX//fludgkWYm5dNmzaJvXv3iosXL4ri4mIxb948IZfLxcGDB211Chbxl7/8RXh4eIjs7Gxx7do1w6uurs4wZ9q0aWLp0qWG7fz8fOHs7Cw2bNggSkpKRHJysnBxcRHFxcW2OAWL6UxuVq1aJQ4cOCDKysrEqVOnxJ///GehVCrF+fPnbXEKFrF06VKRk5MjLl++LM6ePSuWLl0qZDKZ+Pbbb4UQjlsvQpifG0eoF1Na/vrckeumufby4ig189Zbb4ns7Gxx+fJlkZ+fLyZMmCB8fHxERUWFEML+64WNaTP62xy1fCUmJgohhEhMTBRjx45ttc+QIUOEQqEQjz76qNi+fbvV47Y0c/Oybt060a9fP6FUKoW3t7cYN26cOHTokG2CtyCpnAAwqoGxY8ca8qS3Z88eMWDAAKFQKMSgQYPE119/bd3AraAzuZk/f77o27evUCgUwtfXV0yePFmcPn3a+sFb0GuvvSYCAwOFQqEQPXr0EOPHjzc0XkI4br0IYX5uHKFeTGnZgDly3TTXXl4cpWbi4+OFv7+/UCgUolevXiI+Pl5cunTJ8L6914tMCCGstz5LRERERCSN15gSERERkV1gY0pEREREdoGNKRERERHZBTamRERERGQX2JgSERERkV1gY0pEREREdoGNKRHZTHp6Ovbs2WPrMBzezZs3sWrVKty8edPWoRCRg2NjSkQ2cfz4ccyfPx9PPPGErUN5YNnZ2ZDJZPjll19sHYrZhBCYNm0ahBDw8fExa9/p06cjLi7OMoE1s3z5csyaNavD8+vr6xEUFISTJ09aMCoisgQ2pkT0wKZPnw6ZTIa1a9caje/duxcymazV/MrKSsycORPp6eno27evtcIkCWvWrIGfnx9Wrlxp9r6bN29Gampql8fUXHl5OTZv3oy33367w/soFAosXLgQS5YssWBkRGQJbEyJqEsolUqsW7cOd+7caXeuh4cHzp49i2HDhlkhMmn19fU2++yu0hXn8Pbbb2P79u2d2tfDwwOenp4PHENbtm3bhqioKAQGBpq1X0JCAvLy8nD+/HkLRUZElsDGlIi6xIQJE+Dn54f33nvP5JyVK1diyJAhRmPvv/8+goKCDNv6r4fXrFkDX19feHp6YvXq1WhsbMSiRYvg7e2N3r17t2qmrl69ihdeeAGenp7w9vZGbGwsfvzxx1bHfffddxEQEICQkBAAQHFxMZ566imoVCp0794ds2bNQk1NTZvnmpGRgQEDBkClUuHJJ580+hy9vLw8jBkzBiqVCn369MHcuXNRW1tr8phlZWWIjY2Fr68vNBoNRo4ciYMHDxrNCQoKwjvvvINXXnkF7u7umDVrFlJTU+Hp6Yl9+/YhJCQEarUaU6dORV1dHXbs2IGgoCB4eXlh7ty5aGpqMhzrzp07eOWVV+Dl5QW1Wo1nnnkGFy9eNLyvP+6BAwcQGhoKjUaDSZMm4dq1a61yqqfT6bB+/XoEBwfD1dUVffv2xbvvvmt4vzO5TktLQ0xMjNHYuHHjMHfuXCxevBje3t6SK75eXl4YPXo00tLS2jw+EdkXNqZE1CWcnJywZs0afPjhh/jf//73QMc6dOgQfv75Z+Tm5mLjxo1ITk7Gs88+Cy8vLxw7dgxvvPEGZs+ebfichoYGREdHw83NDYcPH0Z+fr6hkWq+qpiVlYXS0lJkZmZi3759qK2tRXR0NLy8vHDixAl8/vnnOHjwIJKSkkzGdvXqVTz//POIiYlBUVERZs6ciaVLlxrNKSsrw6RJk/CnP/0JZ8+exe7du5GXl9fmcWtqajB58mRkZWWhsLAQkyZNQkxMDK5cuWI0b8OGDQgPD0dhYSGWL18OAKirq8MHH3yAtLQ07N+/H9nZ2XjuueeQkZGBjIwM7Ny5E1u3bsUXX3xhOM706dNx8uRJfPXVVygoKIAQApMnT0ZDQ4NhTl1dHTZs2ICdO3ciNzcXV65cwcKFC02ew7Jly7B27VosX74cFy5cwK5du+Dr6wsAncr17du3ceHCBYwYMaLVezt27EC3bt1w7NgxrF+/HqtXr0ZmZqbRnFGjRuHw4cMmj09EdkgQET2gxMREERsbK4QQ4oknnhCvvfaaEEKI9PR00fyfmeTkZBEeHm6076ZNm0RgYKDRsQIDA0VTU5NhLCQkRIwZM8aw3djYKLp16yb+/e9/CyGE2LlzpwgJCRE6nc4wR6vVCpVKJQ4cOGA4rq+vr9BqtYY5n3zyifDy8hI1NTWGsa+//lrI5XJRXl4uea7Lli0TAwcONBpbsmSJACDu3LkjhBBixowZYtasWUZzDh8+LORyubh7967kcaUMGjRIfPjhh4btwMBAERcXZzRn+/btAoC4dOmSYWz27NlCrVaL6upqw1h0dLSYPXu2EEKI77//XgAQ+fn5hvdv3rwpVCqV2LNnj8njpqSkCF9fX8N28797VVWVcHV1FZ9++qnkuXQm14WFhQKAuHLlitH42LFjxR/+8AejsZEjR4olS5YYjW3evFkEBQVJHpuI7BNXTImoS61btw47duxASUlJp48xaNAgyOW//fPk6+uLwYMHG7adnJzQvXt3VFRUAADOnDmDS5cuwc3NDRqNBhqNBt7e3rh37x7KysoM+w0ePBgKhcKwXVJSgvDwcHTr1s0wNnr0aOh0OpSWlkrGVlJSgoiICKOxyMhIo+0zZ84gNTXVEItGo0F0dDR0Oh0uX74sedyamhosXLgQoaGh8PT0hEajQUlJSasVU6nVQ7VajX79+hnlKygoCBqNxmhMn6+SkhI4OzsbnUf37t0REhJi9HdreVx/f3/DMaTyotVqMX78eJPvm5vru3fvArh//XJLYWFhRttSsalUKtTV1Ukem4jsk7OtAyCih8sf//hHREdHY9myZZg+fbrRe3K5HEIIo7HmXx3rubi4GG3LZDLJMZ1OB+B+Uzd8+HD861//anWsHj16GP67eVNkSTU1NZg9ezbmzp3b6j1TdyFYuHAhMjMzsWHDBgQHB0OlUmHq1KmtfuAkdQ7m5qujpI7R8u+np1KpzDp2R+hvX3Xnzh2jv6Op2Fqe3+3bt1vtR0T2jY0pEXW5tWvXYsiQIYYfGOn16NED5eXlEEIYbiNVVFT0wJ83bNgw7N69Gz179oS7u3uH9wsNDUVqaipqa2sNDV9+fj7kcnmr2Jvv89VXXxmNHT16tFU8Fy5cQHBwcIdjyc/Px/Tp0/Hcc88BuN/cSv2oqiuEhoaisbERx44dQ1RUFADg1q1bKC0txcCBAzt1zP79+0OlUiErKwszZ86U/Exzc92vXz+4u7vjwoULGDBggNkxnTt3DkOHDjV7PyKyHX6VT0RdbvDgwUhISMAHH3xgND5u3DjcuHED69evR1lZGVJSUvDNN9888OclJCTAx8cHsbGxOHz4MC5fvozs7GzMnTu3zR9iJSQkQKlUIjExEefOncN3332Hv/71r5g2bZrhRzstvfHGG7h48SIWLVqE0tJS7Nq1q9W9PJcsWYIjR44gKSkJRUVFuHjxIv773/+2+UOf/v374z//+Q+Kiopw5swZvPTSS2avcHZU//79ERsbi9dffx15eXk4c+YMXn75ZfTq1QuxsbGdOqZSqcSSJUuwePFi/POf/0RZWRmOHj2Kf/zjHwA6l2u5XI4JEyYgLy+vUzEdPnwYEydO7NS+RGQbbEyJyCJWr17dqrEKDQ3F3//+d6SkpCA8PBzHjx9v81feHaVWq5Gbm4u+ffvi+eefR2hoKGbMmIF79+61uYKqVqtx4MAB3L59GyNHjsTUqVMxfvx4fPTRRyb36du3L7788kvs3bsX4eHh2LJlC9asWWM0JywsDDk5Ofj+++8xZswYDB06FCtWrEBAQIDJ427cuBFeXl6IiopCTEwMoqOjLXqf1+3bt2P48OF49tlnERkZCSEEMjIyWn1Fbo7ly5fjrbfewooVKxAaGor4+HjDdZ+dyTUAzJw5E2lpaWY36QUFBaisrMTUqVM7fT5EZH0yYeqCISIiIhsTQiAiIgJvvvkmXnzxxQ7vFx8fj/DwcPztb3+zYHRE1NW4YkpERHZLJpPhk08+QWNjY4f3qa+vx+DBg/Hmm29aMDIisgSumBIRERGRXeCKKRERERHZBTamRERERGQX2JgSERERkV1gY0pEREREdoGNKRERERHZBTamRERERGQX2JgSERERkV1gY0pEREREdoGNKRERERHZBTamRERERGQX/g+zfN2Vywpz5wAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Extraer las columnas del set de datos de onda triangular:\n",
    "n_triangular = set_triangular[:, 0]\n",
    "f_triangular = set_triangular[:, 1]\n",
    "V1_triangular = set_triangular[:, 2]\n",
    "V2_triangular = set_triangular[:, 3]\n",
    "\n",
    "# Calcular la amplitud teórica para la onda triangular:\n",
    "# a_n = 8*V1 / (n*pi)^2  (solo para n impares)\n",
    "a_n_teo_triangular = 8 * V1_triangular / ((n_triangular * np.pi)**2)\n",
    "\n",
    "# Mostrar los resultados:\n",
    "print(\"Datos para la onda triangular:\")\n",
    "for i in range(len(n_triangular)):\n",
    "    print(f\"Armónico {int(n_triangular[i])}: f = {f_triangular[i]:.1f} Hz, V1 = {V1_triangular[i]:.2f} V, V2 (exp) = {V2_triangular[i]:.4f} V, V2 (teo) = {a_n_teo_triangular[i]:.4f} V\")\n",
    "\n",
    "# Graficar la comparación entre las amplitudes teóricas y experimentales:\n",
    "plt.figure(figsize=(8, 5))\n",
    "plt.plot(n_triangular, a_n_teo_triangular, 'o-', label='Teórico')\n",
    "plt.plot(n_triangular, V2_triangular, 's-', label='Experimental')\n",
    "plt.xlabel(\"Número de armónico (n)\")\n",
    "plt.ylabel(\"Amplitud (V)\")\n",
    "plt.title(\"Comparación de amplitudes en onda triangular\")\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Rectificador."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
