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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Detección de lluvias aéreas extensas\n",
+    "* * *\n",
+    "\n",
+    "### Proyecto final del Eje de Instrumentación de LA-CoNGA Physics\n",
+    "\n",
+    "### Estudiantes:  \n",
+    "* Jorge Perea (UIS, Colombia)  \n",
+    "* María Ramos (ULA, Venezuela)\n",
+    "  \n",
+    "### Tutor:  \n",
+    "* Jesús Rodríguez (UIS, Colombia)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Introducción previa\n",
+    "* * *\n",
+    "### Conceptos básicos:  \n",
+    "\n",
+    "* Rayos cósmicos (o Cosmic Rays, CR): son partículas de altas energías originadas en eventos astronómicos que pueden alcanzar a la Tierra. Su energía varía en un rango de 1 GeV a 10⁸TeV y su interacción con la atmosférica terrestre genera rayos cósmicos secundarios.\n",
+    "* Lluvias aéreas extensas (o Extensive Air Showers, EAS): son cascadas de partículas creadas por las interacciones de los CRs con la atmósfera, generando abundancia de partículas por colisiones y decaimientos.\n",
+    "* Muones: son partículas elementales del tipo fermiónicas. Además, pertenecen a la familia de los leptones, son similares al electrón pero tienen mayor masa. Pueden ser generadas en las EAS. El flujo de muones proveniente de estos eventos es de $1 cm^{-2}s^{-1}$ al nivel del mar.\n",
+    "* Evento de lluvias aéreas extensas: se declara un evento de lluvias aéreas extensas cuando se registra en el mismo instante una detección de partículas en más de un detector, entendiendo que están ubicados en lugares distintos.  \n",
+    "\n",
+    "### Experimento:\n",
+    "  \n",
+    "El experimento consiste en la detección de muones provenientes de lluvias aéreas extensas mediante la siguiente instrumentación:\n",
+    "  \n",
+    "* Tres paneles centelladores: que detectan los muones.\n",
+    "* Fotomultiplicadores de Silicio (SiPM): los cuales reciben la señal de los centelladores y la convierte en pulsos eléctricos.\n",
+    "* Sistema de adquisición de datos (DAQ): formado por una tarjeta de polarización; una tarjeta de digitalización; un GPS, y un computador embebido para controlar todo el sistema DAQ. Este equipo adquiere la señal y la procesa para su almacenado.  \n",
+    "  \n",
+    "**Importante**: \n",
+    "* Tiempo de ocurrencia de una señal en flanco de subida = tiempo de ocurrencia de un triggers.  \n",
+    "  \n",
+    "Para más información teórica o sobre el sistema de DAQ y el equipo detector consulte **Referencias**.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Estructura de los datos\n",
+    "* * *\n",
+    "Los datos tomados por el DAQ del detector, los cuales serán cargados, leídos y manipulados en el notebook, son, hasta el momento de su procesamiento, datos crudos que mantienen una estructura interna. Se encuentran organizados por líneas de 16 palabras separadas por espacios. Cada palabra puede contener letras, números, o una combinación de los mismos dependiendo de su formato. La tabla muestra el significado y el sistema de cada palabra para ayudar a entender el código planteado.  \n",
+    "  \n",
+    "<img src=\"images/tabla_datos.png\">\n",
+    "  \n",
+    "donde:  \n",
+    "* RE: señal en flanco de subida,  \n",
+    "* FE: señal en flanco de bajada.\n",
+    "\n",
+    "Para más información de los datos crudos, consulte **Anexos**."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Análisis de datos\n",
+    "* * *"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "El análisis comprende celdas de código que ejecutan cálculos numéricos, lectura, modificación, gráficos de datos y muestran comentarios para aclarar la función de ciertos comandos. También se incluyen celdas de Markdown que explican los pasos y consideraciones tomadas.  \n",
+    "  \n",
+    "En un principio, se le presentarán los paquetes y funciones a utilizar, esenciales para poder correr el código de análisis de datos. Luego de ello, de acuerdo a los objetivos del proyecto, encontrará: la estimación de flujo de muones; el cálculo de umbral óptimo para calibración; el estudio del flujo de lluvias aéreas extensas; el cálculo de tiempos absolutos de cada línea de datos; la determinación y plot de flancos de subida y bajada y la dirección de las lluvias detectadas.  \n",
+    "  \n",
+    "Fuera del análisis de datos, cabe destacar que al final del Notebook encontrará los **Anexos** y **Referencias**, que podrían serle de utilidad para familiarizarse con la investigación."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Tools "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "A lo largo del notebook se requiere procesar los datos arrojados por el DAQ del arreglo de detectores. Para ello, se necesita correr celdas con código en Python, apoyado en una serie de bibliotecas útiles para análisis de datos:\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib\n",
+    "import scipy\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import scipy.stats as st\n",
+    "import matplotlib.pyplot as plt\n",
+    "from scipy import interpolate\n",
+    "from datetime import datetime"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Funciones"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Además, para ahorrar líneas de código, se desarrolló una colección de funciones específicas para el procesamiento de estos datos, las cuales son definidas a continuación.\n",
+    "* Función para cargar datos: lee los datos almacenados en un archivo y los almacena en una variable.\n",
+    "* Funciones para dataframes: toman datos, sea de una lista o un dataframe previo, para agregarlos o modificarlos a un nuevo dataframe.\n",
+    "* Funciones para fits: definen una función para generar valores que puedan ser ajustados a una gráfica.\n",
+    "* Funciones para hallar eventos: reciben datos temporales y calculan los eventos.\n",
+    "* Funciones para plots: grafican los datos.\n",
+    "* Funciones para manipular eventos: leen e interpretan datos para generar gráficos de flancos de subida y bajada. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Función para cargar datos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Lee los datos de un archivo utilizando numpy.\n",
+    "def load_data(file):\n",
+    "    data = np.loadtxt(file,usecols=0,skiprows=1,dtype=str,delimiter=\"  \")\n",
+    "    return data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Extraer el tiempo t del conjunto de datos, el cual se agrega a una lista\n",
+    "def time_list(data):\n",
+    "    times=[]\n",
+    "    for i in data:\n",
+    "        a=str(i)\n",
+    "        b=a.split(' ')\n",
+    "        if len(b)==16:\n",
+    "            t=b[10]\n",
+    "        times.append(t)\n",
+    "    # Especifica el formato para los tiempos y lo asigna a una nueva lista\n",
+    "    time_list = pd.to_datetime(times, format=\"%H%M%S.%f\").time\n",
+    "    return time_list"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Funciones para dataframes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Crear dataframe del conjunto total de datos crudos\n",
+    "def create_df(data):\n",
+    "    array = []\n",
+    "    # Se almacenan los datos en un array\n",
+    "    for i in data:\n",
+    "        new_i = i.split(sep=' ')\n",
+    "        array_i = np.array(new_i)\n",
+    "        array.append(array_i)\n",
+    "    # Convierte el array en un dataframe.\n",
+    "    df = pd.DataFrame(array)\n",
+    "    # Filtra las filas sin valores\n",
+    "    df = df.mask(df.eq('None')).dropna()\n",
+    "    # Ajustar a la fecha real\n",
+    "    df[11] = np.where((df[11] == '240801'),'090421', df[11])\n",
+    "    df[11] = np.where((df[11] == '250801'),'100421', df[11])\n",
+    "    # Define el nombre de las columnas de acuerdo al Escaramujo User Guide\n",
+    "    df.columns = [\"Word 1\", \"Word 2\", \"Word 3\", \"Word 4\", \"Word 5\",\n",
+    "                  \"Word 6\", \"Word 7\", \"Word 8\", \"Word 9\", \"Word 10\", \n",
+    "                  \"Word 11\", \"Word 12\", \"Word 13\", \"Word 14\", \"Word 15\", \"Word 16\"]\n",
+    "    return df\n",
+    "\n",
+    "\n",
+    "# Modifica el dataframe para convertir el formato de str a datetime\n",
+    "def date_time(df):\n",
+    "    # Extrae la Word 1 como identificador, el tiempo y \n",
+    "    # la fecha de las líneas de datos\n",
+    "    datetime = df[[\"Word 1\", \"Word 11\", \"Word 12\"]].copy()\n",
+    "    # Añade el tiempo y la fecha a una misma columna (Datetime),\n",
+    "    # eliminando la sobrante.\n",
+    "    datetime[\"Word 11\"] = datetime[\"Word 12\"].str.cat(datetime[\"Word 11\"], sep =\" \")\n",
+    "    datetime = datetime.drop(\"Word 12\", axis=1)\n",
+    "    datetime.columns = [\"Word 1\", \"Datetime\"]\n",
+    "    # Genera un dataframe con los tiempos\n",
+    "    time = pd.to_datetime(datetime[\"Datetime\"], format=\"%d%m%y %H%M%S.%f\")\n",
+    "    return datetime, time\n",
+    "\n",
+    "# Conversión a binario del dataframe\n",
+    "def convert_bin(df, datetime):\n",
+    "    # Recibe los datos en hexadecimal \n",
+    "    binary = df[[\"Word 1\", \"Word 4\", \"Word 5\", \"Word 6\", \"Word 7\", \"Word 8\", \"Word 9\", \"Word 10\"]].copy()\n",
+    "    word_list = [\"Word 4\", \"Word 5\", \"Word 6\", \"Word 7\", \"Word 8\", \"Word 9\"]\n",
+    "    # Extrae los tiempos \n",
+    "    binary[\"Datetime\"], binary[\"Word 16\"] = datetime[\"Datetime\"], df[\"Word 16\"]\n",
+    "    # Convierte los valores en hexadecimal a binario\n",
+    "    for word in word_list:\n",
+    "        binary[word] = binary[word].apply(lambda x: int(format(int(x, 16), '08b')))\n",
+    "        binary[word] = binary[word].apply('{:0>8}'.format)\n",
+    "    return binary\n",
+    "\n",
+    "\n",
+    "# Dataframe final con la conversión de datos\n",
+    "def time_df(binary):\n",
+    "    # Define una lista de columnas a modificar\n",
+    "    Count_words = [\"Word 1\", \"Word 10\"]\n",
+    "    RF_words = [\"Word 4\", \"Word 5\", \"Word 6\", \"Word 7\", \"Word 8\", \"Word 9\"]\n",
+    "    \n",
+    "    # Copia el dataframe en una nueva variable\n",
+    "    time_df = binary.copy()\n",
+    "    # Chequea el bit 5 para transformar a decimal si cumple \n",
+    "    # la condición de evento válido (ver Estructura de Datos)\n",
+    "    for i in RF_words:\n",
+    "        time_df[i] = time_df[i].apply(lambda x: \"00000000\" if x[-6] == \"0\" else x)\n",
+    "        time_df[i] = time_df[i].apply(lambda x: int(x[-5:], 2)*1.25)\n",
+    "    # Convierte a decimal\n",
+    "    for j in Count_words:\n",
+    "        time_df[j] = time_df[j].apply(lambda x: int(x, 16))\n",
+    "        \n",
+    "    # Modifica el valor para luego calcular el tiempo\n",
+    "    # verdadero del GPS\n",
+    "    time_df[\"Word 16\"] = time_df[\"Word 16\"].apply(lambda x: int(x)/1000)\n",
+    "    \n",
+    "    # Convierte fecha y tiempo a segundos \n",
+    "    \n",
+    "    time_df[\"T\"] = binary[\"Datetime\"].copy()\n",
+    "    time_df[\"T\"] = time_df[\"T\"].apply(lambda x: \n",
+    "                                (((datetime.strptime(x, \"%d%m%y %H%M%S.%f\")) -\n",
+    "                                   datetime(2021, 4, 9))).total_seconds())\n",
+    "    \n",
+    "    # Calcula Delta clk: Trigger count - 1PPS Count\n",
+    "    time_df[\"delta_clk\"] = (time_df[\"Word 1\"] - time_df[\"Word 10\"])\n",
+    "    \n",
+    "    # Calcula Delta sec: delta clk / fclk, donde fclk = 25 MHz\n",
+    "    time_df[\"delta_sec\"] = time_df[\"delta_clk\"]/25000000\n",
+    "    \n",
+    "    # Halla el tiempo absoluto\n",
+    "    time_df[\"T(abs)\"] = time_df[\"T\"] + time_df[\"Word 16\"] + time_df[\"delta_sec\"]\n",
+    "    \n",
+    "    # Renombra las columnas\n",
+    "    time_df.columns=[\"Trigger Count\", \"RE1 (ns)\", \"FE1 (ns)\", \"RE2 (ns)\", \"FE2 (ns)\",\n",
+    "                \"RE3 (ns)\", \"FE3 (ns)\", \"1PPS Count\", \"Datetime\", \"Correction\",\n",
+    "                \"T(sec)\", \"ΔT(clk)\", \"ΔT(sec)\", \"T(abs)\"]\n",
+    "    \n",
+    "    return time_df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Funciones para fits"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Fit y = a*e^(bx) + c\n",
+    "def fit_exp(x, a, b, c):\n",
+    "    return  a*np.exp(b*x) + c"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Funciones para hallar eventos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def events_counts(time):\n",
+    "    # Hallar los eventos\n",
+    "    events, counts = np.unique(time, return_counts=True)\n",
+    "    # Hallar el número de eventos\n",
+    "    \n",
+    "    # Hallar el promedio total de eventos\n",
+    "    mean = np.mean(counts)\n",
+    "    # Hallar la desviación estándar\n",
+    "    std = np.std(counts)\n",
+    "    # Hallar el error sobre la media\n",
+    "    sem = st.sem(counts)\n",
+    "    return events, counts, mean, std, sem"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Funciones para plots"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Gráfico de flujo de muones vs altitud \n",
+    "def plot_altitude(altitude, muons):\n",
+    "    plt.figure(figsize =(20,10))\n",
+    "    plt.plot(altitude,muons,'ob',markersize = 6, label= 'Data')\n",
+    "    plt.xlabel(\"Altitude $[m]$\", fontsize=15)\n",
+    "    plt.ylabel(\"Muons $cṃ^{-2}s^{-1}$\", fontsize=15)\n",
+    "    plt.title(\"Muons: Flux vs Altitude\", fontsize=20)\n",
+    "    plt.legend(fontsize=15)\n",
+    "    plt.grid()\n",
+    "    return \n",
+    "\n",
+    "# Gráfico de flujo de muones vs voltaje \n",
+    "def plot_voltage_flux(voltage, flux):\n",
+    "    plt.figure(figsize=(20,10))\n",
+    "    plt.plot(voltage, flux, \"ob\", markersize = 6, label= 'Calibration data')\n",
+    "    plt.xlabel(\"Voltage $[mV]$\", fontsize=15)\n",
+    "    plt.ylabel(\"Flux [muons per second]\", fontsize=15)\n",
+    "    plt.title(\"Calibration: Flux vs Voltage\", fontsize=20)\n",
+    "    plt.legend(fontsize=15)\n",
+    "    plt.grid()\n",
+    "    return\n",
+    "\n",
+    "# Gráfico de eventos de muones vs fecha\n",
+    "def plot_date(events,counts, mean, std, sem, title):\n",
+    "    dates = matplotlib.dates.date2num(events)\n",
+    "    plt.figure(figsize=(20,10))\n",
+    "    plt.plot([], [], ' ', label=f\"Number of detected EAS: {len(counts)}\")\n",
+    "    plt.plot_date(dates, counts, 'ob', fillstyle=\"none\", label=\"Detections per event\")\n",
+    "    plt.plot([], [], ' ', label=f\"Mean {round(mean,2)}\")\n",
+    "    plt.plot([], [], ' ', label=f\"SD {round(std,2)}\")\n",
+    "    plt.plot([], [], ' ', label=f\"SEM {round(std,2)}\")\n",
+    "    plt.xlabel(\"Time [dd hh:mm]\", fontsize=20)\n",
+    "    plt.ylabel(\"#Detections\", fontsize=15)\n",
+    "    plt.title(title, fontsize=30)\n",
+    "    plt.legend(fontsize=15)\n",
+    "    plt.show\n",
+    "    return"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Funciones para manipular eventos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def build_event_dataframes(event_time):\n",
+    "    \"\"\"\n",
+    "    Cada dataframe construido por esta función representa \n",
+    "    un cojunto de subidas y bajadas de flancos ocurridas\n",
+    "    a partir de un mismo instante de tiempo UTC con \n",
+    "    resolución en milisegundos. Un instante de tiempo UTC \n",
+    "    es de la forma ddmmyyhhmmss.mmm \n",
+    "    \"\"\"\n",
+    "    T_abs_trunc=[]\n",
+    "    aux=event_time.copy()\n",
+    "    for k in event_time[\"T(abs)\"]:\n",
+    "        T_abs_trunc.append(float(np.format_float_positional(k, precision=3)))\n",
+    "    \n",
+    "    aux[\"T_abs_trunc\"]=T_abs_trunc\n",
+    "    event_times,index,counts=np.unique(aux[\"T_abs_trunc\"],return_index=True,return_counts=True)\n",
+    "    events_dataframe=[]\n",
+    "    for i in range(0,len(index),2):   \n",
+    "        if i<(len(index)-1):\n",
+    "            events_dataframe.append(event_time[index[i]:index[i+1]])\n",
+    "        else:\n",
+    "            events_dataframe.append(event_time[index[i]:])    \n",
+    "    return events_dataframe \n",
+    "\n",
+    "\n",
+    "\n",
+    "def sortSecond(val):\n",
+    "    return val[1] \n",
+    "\n",
+    "\n",
+    "# Divide una palabra de n bits en n/l número de \n",
+    "# palabras de l bits cada una\n",
+    "def splitter(word,l):\n",
+    "    return [word[i:i+l] for i in range(0, len(word), l)]\n",
+    "\n",
+    "# extrae los tiempos absolutos, en nanosegundos,\n",
+    "# en donde hay una bajada o subida de flanco. \n",
+    "def build_sorted_events(b):\n",
+    "    a=b.copy()\n",
+    "    absolute_t_ns=(10.0**9)*a[\"T(abs)\"].to_numpy()\n",
+    "    t_in_rows=[]\n",
+    "    t_in_rows.append(0.0)\n",
+    "    suma=0\n",
+    "    for i in range(0,len(absolute_t_ns)-1,1):\n",
+    "        suma=np.abs(absolute_t_ns[i]-absolute_t_ns[i+1])+suma\n",
+    "        t_in_rows.append(suma)   \n",
+    "    words_subidas=[\"RE1\",\"RE2\",\"RE3\"]\n",
+    "    subidas=[]\n",
+    "    for l in words_subidas:\n",
+    "        i=l+\" (ns)\"\n",
+    "        if np.sum(a[i].to_numpy())!=0.0:\n",
+    "            subidas.append([l,a[i].to_numpy()])  \n",
+    "    for j in subidas:\n",
+    "        for l in range(0,len(j[1]),1):\n",
+    "            if j[1][l]!=0:\n",
+    "                j[1][l]=t_in_rows[l]+j[1][l]            \n",
+    "    words_bajadas=[\"FE1\",\"FE2\",\"FE3\"]\n",
+    "    bajadas=[]\n",
+    "    for l in words_bajadas:\n",
+    "        i=l+\" (ns)\"\n",
+    "        if np.sum(a[i].to_numpy())!=0.0:\n",
+    "            bajadas.append([l,a[i].to_numpy()]) \n",
+    "    for j in bajadas:\n",
+    "        for l in range(0,len(j[1]),1):\n",
+    "            if j[1][l]!=0:\n",
+    "                j[1][l]=t_in_rows[l]+j[1][l]\n",
+    "    all_events=[]\n",
+    "    for k in subidas:\n",
+    "        for n in k[1]:\n",
+    "            if n!=0:\n",
+    "                all_events.append((k[0], n))   \n",
+    "    for k in bajadas:\n",
+    "        for n in k[1]:\n",
+    "            if n!=0:\n",
+    "                all_events.append((k[0], n))            \n",
+    "    all_events.sort(key = sortSecond) \n",
+    "    return all_events\n",
+    "\n",
+    "\n",
+    "\n",
+    "def RE_FE_plotter(t,ch):\n",
+    "    # t=float(np.format_float_positional(t, precision=2))\n",
+    "    # Considerando flanco de subida o bajada en t en el channel ch \n",
+    "    plt.plot(t*np.ones(2,dtype=int), np.arange(ch,ch+1,.5),'b') \n",
+    "    \n",
+    "# meseta entre from_t y to_t en el channel ch    \n",
+    "def plateau_plotter(from_t,to_t,ch):\n",
+    "    aux=ch+.5\n",
+    "    rango=np.arange(from_t,to_t+0.01,0.01)\n",
+    "    plt.plot(rango,aux*np.ones(len(rango),dtype=int),'b') \n",
+    "    \n",
+    "# Une una señal de activacion de trigger con una \n",
+    "# desactivación de trigger en un canal ch       \n",
+    "def couppler(xf,t_max,ch):\n",
+    "    if (len(xf)%2)==0:        \n",
+    "        for j in range(0,len(xf),2):\n",
+    "             plateau_plotter(xf[j][1],xf[j+1][1],ch)\n",
+    "    else:\n",
+    "        for j in range(0,len(xf)-1,2):\n",
+    "            plateau_plotter(xf[j][1],xf[j+1][1],ch)\n",
+    "        plateau_plotter(xf[len(xf)-1][1],t_max,ch)\n",
+    "        \n",
+    "        \n",
+    "# Grafica la activación y desactivación de varios \n",
+    "# triggers que constituyen un evnto.         \n",
+    "def events_plotter(sample_event):\n",
+    "    sorted_events=build_sorted_events(sample_event)\n",
+    "    maxi=[]\n",
+    "    for i in sorted_events:\n",
+    "        maxi.append(i[1])\n",
+    "\n",
+    "    t_max=max(maxi)+20\n",
+    "\n",
+    "    plt.figure(figsize =(20,5))\n",
+    "    if t_max<=240:\n",
+    "        plt.xticks(fontsize=16,ticks=np.arange(0,t_max+10,10))\n",
+    "        plt.xlim(0,t_max)\n",
+    "    if t_max>=300:    \n",
+    "        plt.xticks(fontsize=16,ticks=np.arange(0,t_max+10,20))\n",
+    "        plt.xlim(0,t_max)\n",
+    "    if t_max>=400:\n",
+    "        plt.xticks(fontsize=16,ticks=np.arange(0,t_max+10,40))\n",
+    "        plt.xlim(0,t_max)\n",
+    "    if t_max>=500:\n",
+    "        plt.xticks(fontsize=16,ticks=np.arange(0,t_max+10,50))\n",
+    "        plt.xlim(0,t_max)\n",
+    "        \n",
+    "        \n",
+    "    title=sample_event[\"Datetime\"].to_numpy()[0]          \n",
+    "    plt.ylim(0.5,4)\n",
+    "    plt.yticks(fontsize=16,ticks=[1,2,3])\n",
+    "    plt.xlabel(\"Absolute time [ns]\",fontsize = 16) \n",
+    "    plt.ylabel(\"Channel\",fontsize = 16)\n",
+    "    plt.title(\"Rising and Falling Edge from \"+title,fontsize = 25)\n",
+    "\n",
+    "    plt.plot(np.arange(0,int(t_max),1), np.ones(int(t_max),dtype=int), '--r')\n",
+    "    plt.plot(np.arange(0,int(t_max),1), 2*np.ones(int(t_max),dtype=int), '--r')\n",
+    "    plt.plot(np.arange(0,int(t_max),1), 3*np.ones(int(t_max),dtype=int), '--r')\n",
+    "\n",
+    "\n",
+    "    for i in sorted_events: \n",
+    "        temp=splitter(i[0],1)\n",
+    "        RE_FE_plotter(i[1] ,int(temp[2]))\n",
+    "        \n",
+    "\n",
+    "    events_in_ch1=[]\n",
+    "    events_in_ch2=[]\n",
+    "    events_in_ch3=[]\n",
+    "    for i in sorted_events: \n",
+    "        temp=splitter(i[0],1)\n",
+    "        if temp[2]=='1':\n",
+    "            events_in_ch1.append((temp[0],i[1]))            \n",
+    "        if temp[2]=='2':\n",
+    "            events_in_ch2.append((temp[0],i[1]))            \n",
+    "        if temp[2]=='3':\n",
+    "            events_in_ch3.append((temp[0],i[1]))\n",
+    "\n",
+    "    if len(events_in_ch1)!=0:\n",
+    "        if events_in_ch1[0][0]=='F':\n",
+    "            plateau_plotter(0,events_in_ch1[0][1],1)         \n",
+    "            xf=events_in_ch1[1:len(events_in_ch1)]\n",
+    "            couppler(xf,t_max,1)   \n",
+    "        else:\n",
+    "            couppler(events_in_ch1,t_max,1)\n",
+    "        \n",
+    "        \n",
+    "    if len(events_in_ch2)!=0:\n",
+    "        if events_in_ch2[0][0]=='F':\n",
+    "            plateau_plotter(0,events_in_ch2[0][1],2)         \n",
+    "            xf=events_in_ch2[1:len(events_in_ch2)]\n",
+    "            couppler(xf,t_max,2)   \n",
+    "        else:\n",
+    "            couppler(events_in_ch2,t_max,2)\n",
+    "        \n",
+    "        \n",
+    "    if len(events_in_ch3)!=0:\n",
+    "        if events_in_ch3[0][0]=='F':\n",
+    "            plateau_plotter(0,events_in_ch3[0][1],3)         \n",
+    "            xf=events_in_ch3[1:len(events_in_ch3)]\n",
+    "            couppler(xf,t_max,3)   \n",
+    "        else:\n",
+    "            couppler(events_in_ch3,t_max,3)\n",
+    "\n",
+    "    plt.grid()\n",
+    "    plt.show()\n",
+    "    #return sorted_events   \n",
+    "    \n",
+    "#Extrae y grafica aquellos eventos cuyo par de triggers \n",
+    "# tienen un delay temporal menor o igual a dif      \n",
+    "def extract_usefull_events(event_time, dif):\n",
+    "    usefull_events=[]\n",
+    "    b=event_time.copy()\n",
+    "    for i in build_event_dataframes(b):\n",
+    "        q=build_sorted_events(i)\n",
+    "        all_RE=[]\n",
+    "        for j in q:\n",
+    "            if (j[0]=='RE1') or (j[0]=='RE2') or (j[0]=='RE3'):\n",
+    "                       all_RE.append(j)  \n",
+    "        if len(all_RE)>=2:\n",
+    "            for k in range(0,len(all_RE)-1,1):\n",
+    "                  if all_RE[k][0]!=all_RE[k+1][0]:\n",
+    "                        difference=np.abs(all_RE[k][1]-all_RE[k+1][1])\n",
+    "                        if difference<dif:\n",
+    "                            usefull_events.append((all_RE[k][0],all_RE[k+1][0],difference))                         \n",
+    "                            if len(q)<=100:\n",
+    "                                events_plotter(i)\n",
+    "                                print(q)  \n",
+    "    return usefull_events\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 1. Estimación del flujo de muones"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Antes de calibrar un equipo, se necesita un valor tabulado para ajustar la instrumentación. Para los SiPM de un detector como el utilizado en este experimento, el valor de referencia es el flujo de muones estimado en los 3 paneles centelladores de (25 cm x 25 cm) a 990 m s.n.m.  \n",
+    "En principio, se espera un flujo de 1 muon por cm² por segundo a 0msnm. Sabiendo que este valor podría cambiar a una altura distinta, se estudiará la dependecia del número de muones respecto a la altura, usando datos experimentales de *Report No. 094 - Exposure of the Population in the United States and Canada from Natural Background Radiation*."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Lectura de datos con pandas\n",
+    "muon_data = pd.read_csv(\"muon_data.csv\", sep=\" \")\n",
+    "# Convertir la altitud kilómetros a metros\n",
+    "muon_data[\"altitude\"] = muon_data[\"altitude\"]*1000\n",
+    "# Reorganizar los datos de altitud de manera ascendente \n",
+    "muon_data = muon_data.sort_index(ascending=False, ignore_index=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "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>altitude</th>\n",
+       "      <th>muons</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0190</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>710.0</td>\n",
+       "      <td>0.0215</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1150.0</td>\n",
+       "      <td>0.0234</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1620.0</td>\n",
+       "      <td>0.0256</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2100.0</td>\n",
+       "      <td>0.0281</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2620.0</td>\n",
+       "      <td>0.0310</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>3170.0</td>\n",
+       "      <td>0.0344</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>3750.0</td>\n",
+       "      <td>0.0384</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>4350.0</td>\n",
+       "      <td>0.0431</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>5020.0</td>\n",
+       "      <td>0.0492</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>5730.0</td>\n",
+       "      <td>0.0556</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>6500.0</td>\n",
+       "      <td>0.0631</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>7330.0</td>\n",
+       "      <td>0.0716</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>8260.0</td>\n",
+       "      <td>0.0833</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>9310.0</td>\n",
+       "      <td>0.0934</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>10500.0</td>\n",
+       "      <td>0.1030</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>11900.0</td>\n",
+       "      <td>0.1110</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>13700.0</td>\n",
+       "      <td>0.1130</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>16300.0</td>\n",
+       "      <td>0.1010</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>20800.0</td>\n",
+       "      <td>0.0664</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>26700.0</td>\n",
+       "      <td>0.0211</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    altitude   muons\n",
+       "0        0.0  0.0190\n",
+       "1      710.0  0.0215\n",
+       "2     1150.0  0.0234\n",
+       "3     1620.0  0.0256\n",
+       "4     2100.0  0.0281\n",
+       "5     2620.0  0.0310\n",
+       "6     3170.0  0.0344\n",
+       "7     3750.0  0.0384\n",
+       "8     4350.0  0.0431\n",
+       "9     5020.0  0.0492\n",
+       "10    5730.0  0.0556\n",
+       "11    6500.0  0.0631\n",
+       "12    7330.0  0.0716\n",
+       "13    8260.0  0.0833\n",
+       "14    9310.0  0.0934\n",
+       "15   10500.0  0.1030\n",
+       "16   11900.0  0.1110\n",
+       "17   13700.0  0.1130\n",
+       "18   16300.0  0.1010\n",
+       "19   20800.0  0.0664\n",
+       "20   26700.0  0.0211"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "muon_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Asignando variables a los datos de altitud y flujo de muones\n",
+    "altitude = muon_data[\"altitude\"] \n",
+    "muons = muon_data[\"muons\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Gráfico de puntos\n",
+    "plot_altitude(altitude, muons)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Flujo de muones a 0 msnm**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Se puede confirmar el valor tabulado notando que:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Altitud: 0.0 msnm (nivel del mar)\n",
+      "Flujo de muones al nivel del mar: 1 muon por cm² por min\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f\"Altitud: {altitude[0]} msnm (nivel del mar)\")\n",
+    "print(f\"Flujo de muones al nivel del mar: {round(muons[0]*60)} muon por cm² por min\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Estimación de flujo de muones a 990 msnm**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Considerando que no existe dato experimental para $\\mathrm{altitude}=990\\mathrm{msnm}$ y sin necesidad de analizar todo el gráfico para hallar el flujo de muones a 990 msnm, es posible hacer un fit exponencial para alturas pequeñas (menores a 5000 msnm), esto corresponde a los primeros 9 datos en el dataframe. Este método ha sido utilizado en trabajos previos (consulte la Documentación)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\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>altitude</th>\n",
+       "      <th>muons</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0190</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>710.0</td>\n",
+       "      <td>0.0215</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1150.0</td>\n",
+       "      <td>0.0234</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1620.0</td>\n",
+       "      <td>0.0256</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2100.0</td>\n",
+       "      <td>0.0281</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2620.0</td>\n",
+       "      <td>0.0310</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>3170.0</td>\n",
+       "      <td>0.0344</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>3750.0</td>\n",
+       "      <td>0.0384</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>4350.0</td>\n",
+       "      <td>0.0431</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   altitude   muons\n",
+       "0       0.0  0.0190\n",
+       "1     710.0  0.0215\n",
+       "2    1150.0  0.0234\n",
+       "3    1620.0  0.0256\n",
+       "4    2100.0  0.0281\n",
+       "5    2620.0  0.0310\n",
+       "6    3170.0  0.0344\n",
+       "7    3750.0  0.0384\n",
+       "8    4350.0  0.0431"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Mostrar los datos para alturas menores a 5000 msnm\n",
+    "muon_data[0:9]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Estimación de flujo de muones por segundo**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Considerando que la función general es:  \n",
+    "  \n",
+    "$$ y = ae^{bx} + c$$  \n",
+    "\n",
+    "y sus parámetros son las constantes: *a*, *b*, *c*, utilizamos scipy.optimize.curve_fit para hallar los parámetros correspondientes a una función exponencial ajustada a la data de calibración."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Generar puntos de altitud para el fit\n",
+    "altitude_range = np.arange(0,5000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Params: [0.01776475 0.00019757 0.00115229]\n",
+      "\n",
+      "Params covariance:\n",
+      "[[ 3.49285203e-07 -2.58291946e-09 -3.70937570e-07]\n",
+      " [-2.58291946e-09  1.92258833e-11  2.73408221e-09]\n",
+      " [-3.70937570e-07  2.73408221e-09  3.94987500e-07]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Generar valores para un fit exponencial\n",
+    "muon_params, muon_pcov= scipy.optimize.curve_fit(fit_exp,  altitude[0:9],  \n",
+    "                                                       muons[0:9], p0=[0.01, 0.005, 0.01])\n",
+    "# Mostrar los resultados obtenidos\n",
+    "print(f\"Params: {muon_params}\\n\")\n",
+    "print(f\"Params covariance:\\n{muon_pcov}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Por lo cual, los valores correspondientes a los parámetros de la función son:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "a = 0.017764749967396475\n",
+      "b = 0.00019756506169379203\n",
+      "c = 0.0011522916056092806\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f\"a = {muon_params[0]}\")\n",
+    "print(f\"b = {muon_params[1]}\")\n",
+    "print(f\"c = {muon_params[2]}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "y sus errores:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "σa = 0.0005910035560042012\n",
+      "σb = 4.384732974858026e-06\n",
+      "σc = 0.0006284803102931053\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Desviación estándar de los parámetros\n",
+    "muon_perr = np.sqrt(np.diag(muon_pcov))\n",
+    "print(f\"\\u03c3a = {muon_perr[0]}\")\n",
+    "print(f\"\\u03c3b = {muon_perr[1]}\")\n",
+    "print(f\"\\u03c3c = {muon_perr[2]}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Graficar los puntos menores a 5000 m con el fit exponencial\n",
+    "plot_altitude(altitude[0:9], muons[0:9])\n",
+    "plt.plot(altitude_range, fit_exp(altitude_range, muon_params[0], muon_params[1], muon_params[2]),\n",
+    "         c=\"r\", label='Exponential fit')\n",
+    "# Añadir punto para señalar los 990m\n",
+    "plt.plot(990, 0.0228, \"o\", c=\"limegreen\", markersize = 8, label= \"Flux estimation\")\n",
+    "plt.annotate(\"990 msnm\", (550, 0.0237), fontsize=15, bbox=dict(boxstyle=\"round\", fc='w', ec='0.8'))\n",
+    "plt.legend(fontsize=15)\n",
+    "plt.axis(ymin=0.015,ymax=0.05)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "Considerando los parámetros encontrados, se tiene una función:  \n",
+    "  \n",
+    "$$ \\mathrm{Flujo} = (0.0177*e^{0.000198*\\mathrm{Altitud}} + 0.00115)\\mathrm{muones/s} \\mathrm{~~para~~} \\mathrm{Altitud} < 5000 m$$"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Considerando la función para el fit con sus respectivos parámetros, se halla el valor de muones a 990 msnm."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Muones estimados por cm² por segundo a 990 msnm: 0.02275471637000978 muons\n"
+     ]
+    }
+   ],
+   "source": [
+    "muon_990 = muon_params[0]*np.exp(muon_params[1]*990) + muon_params[2]\n",
+    "print(f\"Muones estimados por cm² por segundo a 990 msnm: {muon_990} muons\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Para 990msnm se espera el siguiente número aproximado de muones por minuto:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Muones estimados por cm² por minuto a 990 msnm: 1.4 muons\n"
+     ]
+    }
+   ],
+   "source": [
+    "muon_990_min = round(muon_990*60, 1)\n",
+    "print(f\"Muones estimados por cm² por minuto a 990 msnm: {muon_990_min} muons\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Considerando la ecuación y el flujo de muones tabulado a nivel del mar:\n",
+    "$$\\Phi= \\frac{\\# events}{(area)(time)}$$\n",
+    "$$\\Phi_{\\mu}= \\frac{1 muon}{(1 cm^{2})(1 min)}$$\n",
+    "y el área total para los tres paneles:\n",
+    "$$ A = (25*25)cm² * 3 $$\n",
+    "el número de muones esperados:\n",
+    "$$ N\\mu= \\Phi_{\\mu}*A*t$$\n",
+    "Cálculo de área total:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Área total: 1875 cm²\n"
+     ]
+    }
+   ],
+   "source": [
+    "area = 25*25*3\n",
+    "print(f\"Área total: {area} cm²\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Flujo de muones esperado en el experimento**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Cálculo de muones estimados para el área total, dada por los tres paneles del experimento, en minutos y segundos:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Muones esperados por minuto en el área total a 990 msnm: 2625.0 muons\n"
+     ]
+    }
+   ],
+   "source": [
+    "flux_min = area*muon_990_min\n",
+    "print(f\"Muones esperados por minuto en el área total a 990 msnm: {flux_min} muons\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Muones esperados por segundo en el área total a 990 msnm: 42.66509319376834 muons\n"
+     ]
+    }
+   ],
+   "source": [
+    "flux_sec = area*muon_990\n",
+    "print(f\"Muones esperados por segundo en el área total a 990 msnm: {flux_sec} muons\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Estimación de muones por segundo en el área total a 990 msnm, para utilizar en la calibración: 43 muons\n"
+     ]
+    }
+   ],
+   "source": [
+    "estimation = round(flux_sec)\n",
+    "print(\"Estimación de muones por segundo en el área total a 990 msnm, \" \n",
+    "      f\"para utilizar en la calibración: {estimation} muons\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Bonus:** Estimación de flujo de muones por segundo utilizando interpolación"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fit = interpolate.interp1d(altitude, muons)\n",
+    "fit_altitude = np.arange(0, 26800, 100)\n",
+    "fit_muons = fit(fit_altitude)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7f5e8dbec9e8>"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_altitude(altitude, muons)\n",
+    "plt.plot(fit_altitude, fit_muons,'r-',label='Interpolation')\n",
+    "plt.plot([990, 990], [0.01, 0.12], \"--\", c= \"silver\")\n",
+    "plt.annotate(\"990 m\", (150, 0.038), fontsize=12, bbox=dict(boxstyle=\"round\", fc='w', ec='0.8'))\n",
+    "plt.axis(ymin=0.01,ymax=0.12)\n",
+    "plt.legend(fontsize=15)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Estimated muons per cm² per second at 990 msnm: 0.022709090909090908 muons\n"
+     ]
+    }
+   ],
+   "source": [
+    "interpolate_990 = fit(990)\n",
+    "print(f\"Estimated muons per cm² per second at 990 msnm: {interpolate_990} muons\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": true
+   },
+   "source": [
+    "## 2. Calibración"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Para calibrar el equipo se debe escoger un umbral óptimo de voltaje que permita detectar el flujo correspondiente al flujo estimado. Por esto, es necesario leer los datos para diferentes umbrales de discriminación (ubicados en *calibrationData*) y hacer un análisis de los mismos para hallar el voltaje óptimo.  \n",
+    "A continuación, se enumeran los pasos para ello y se presenta el código con el output resultante. Para instrucciones sobre la toma de datos de calibración, consulte Anexos. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "1. Se generan arrays para almacenar los datos de flujo de cada voltaje.  \n",
+    "2. Para cada voltaje:\n",
+    "   * Se cargan los datos con la función load_data.\n",
+    "   * Se extraen los tiempos de cada línea de datos registrada con la función time_list.\n",
+    "   * Considerando los tiempos extraídos, se obtienen los eventos, el flujo (np.mean), la desviación estándar y el error estándar sobre la media.\n",
+    "3. Se grafica el flujo de muones vs el voltaje usando plot_voltage_flux\n",
+    "4. A través de scipy, se hace un fit considerando los datos obtenidos y se halla el valor de voltaje correspondiente al flujo estimado"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Arrays para almacenar los datos de flujo\n",
+    "flux=np.zeros(11)\n",
+    "std_flux = np.zeros(11)\n",
+    "sem_flux = np.zeros(11)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Voltaje umbral de 50 mV"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Cargar los datos\n",
+    "V50=load_data(\"calibrationData/calibration_50mV.dat\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([datetime.time(15, 21, 16, 6000), datetime.time(15, 21, 16, 6000),\n",
+       "       datetime.time(15, 21, 16, 6000), ..., datetime.time(15, 26, 49),\n",
+       "       datetime.time(15, 26, 49), datetime.time(15, 26, 49)], dtype=object)"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Extraer los tiempos de cada línea de datos\n",
+    "time_V50 = time_list(V50)\n",
+    "time_V50"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Flujo para 50mV: 70.97604790419162\n",
+      "Desviación estándar para 50mV: 16.963134418235278\n",
+      "Error estándar de la media para 50mV: 0.9295740399608435\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Hallar los eventos\n",
+    "events_V50, counts_V50, flux_V50, std_V50, sem_V50 = events_counts(time_V50)\n",
+    "# Almacenar las variables en los arrays\n",
+    "flux[0] = flux_V50\n",
+    "std_flux[0] = std_V50\n",
+    "sem_flux[0] = sem_V50\n",
+    "# Mostrar los resultados obtenidos\n",
+    "print(f\"Flujo para 50mV: {flux[0]}\")\n",
+    "print(f\"Desviación estándar para 50mV: {std_flux[0]}\")\n",
+    "print(f\"Error estándar de la media para 50mV: {sem_flux[0]}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Análogamente para los demás archivos de datos:"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Voltaje umbral de 75 mV"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "V75=load_data(\"calibrationData/calibration_75mV.dat\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([datetime.time(15, 34, 47, 3000), datetime.time(15, 34, 47, 3000),\n",
+       "       datetime.time(15, 34, 47, 3000), ...,\n",
+       "       datetime.time(15, 39, 48, 13000), datetime.time(15, 39, 48, 13000),\n",
+       "       datetime.time(15, 39, 48, 13000)], dtype=object)"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "time_V75 = time_list(V75)\n",
+    "time_V75"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Flujo para 75mV: 38.09933774834437\n",
+      "Desviación estándar para 75mV: 11.900667779631437\n",
+      "Error estándar de la media para 75mV: 0.6859430872461094\n"
+     ]
+    }
+   ],
+   "source": [
+    "events_V75, counts_V75, flux_V75, std_V75, sem_V75 = events_counts(time_V75)\n",
+    "flux[1] = flux_V75\n",
+    "std_flux[1] = std_V75\n",
+    "sem_flux[1] = sem_V75\n",
+    "print(f\"Flujo para 75mV: {flux[1]}\")\n",
+    "print(f\"Desviación estándar para 75mV: {std_flux[1]}\")\n",
+    "print(f\"Error estándar de la media para 75mV: {sem_flux[1]}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Voltaje umbral de 100 mV"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "V100=load_data(\"calibrationData/calibration_100mV.dat\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([datetime.time(15, 41, 45, 6000), datetime.time(15, 41, 45, 6000),\n",
+       "       datetime.time(15, 41, 46, 14000), ..., datetime.time(15, 46, 56),\n",
+       "       datetime.time(15, 46, 56), datetime.time(15, 46, 56)], dtype=object)"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "time_V100 = time_list(V100)\n",
+    "time_V100"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Flujo para 100mV: 21.708333333333332\n",
+      "Desviación estándar para 100mV: 8.831844032652185\n",
+      "Error estándar de la media para 100mV: 0.500807929298782\n"
+     ]
+    }
+   ],
+   "source": [
+    "events_V100, counts_V100, flux_V100, std_V100, sem_V100 = events_counts(time_V100)\n",
+    "flux[2] = flux_V100\n",
+    "std_flux[2] = std_V100\n",
+    "sem_flux[2] = sem_V100\n",
+    "print(f\"Flujo para 100mV: {flux[2]}\")\n",
+    "print(f\"Desviación estándar para 100mV: {std_flux[2]}\")\n",
+    "print(f\"Error estándar de la media para 100mV: {sem_flux[2]}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Voltaje umbral de 125 mV"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "V125=load_data(\"calibrationData/calibration_125mV.dat\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([datetime.time(15, 49, 4, 1000), datetime.time(15, 49, 4, 1000),\n",
+       "       datetime.time(15, 49, 5, 9000), ...,\n",
+       "       datetime.time(15, 53, 28, 2000), datetime.time(15, 53, 28, 2000),\n",
+       "       datetime.time(15, 53, 28, 2000)], dtype=object)"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "time_V125 = time_list(V125)\n",
+    "time_V125"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Flujo para 125mV: 14.513307984790874\n",
+      "Desviación estándar para 125mV: 6.481827015022376\n",
+      "Error estándar de la media para 125mV: 0.40044861032849455\n"
+     ]
+    }
+   ],
+   "source": [
+    "events_V125, counts_V125, flux_V125, std_V125, sem_V125 = events_counts(time_V125)\n",
+    "flux[3] = flux_V125\n",
+    "std_flux[3] = std_V125\n",
+    "sem_flux[3] = sem_V125\n",
+    "print(f\"Flujo para 125mV: {flux[3]}\")\n",
+    "print(f\"Desviación estándar para 125mV: {std_flux[3]}\")\n",
+    "print(f\"Error estándar de la media para 125mV: {sem_flux[3]}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Voltaje umbral de 150 mV"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "V150=load_data(\"calibrationData/calibration_150mV.dat\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([datetime.time(15, 55, 58, 3000), datetime.time(15, 55, 58, 3000),\n",
+       "       datetime.time(15, 55, 58, 3000), ...,\n",
+       "       datetime.time(16, 0, 21, 13000), datetime.time(16, 0, 21, 13000),\n",
+       "       datetime.time(16, 0, 21, 13000)], dtype=object)"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "time_V150 = time_list(V150)\n",
+    "time_V150"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Flujo para 150mV: 14.338403041825096\n",
+      "Desviación estándar para 150mV: 6.730239948851469\n",
+      "Error estándar de la media para 150mV: 0.4157956126333903\n"
+     ]
+    }
+   ],
+   "source": [
+    "events_V150, counts_V150, flux_V150, std_V150, sem_V150 = events_counts(time_V150)\n",
+    "flux[4] = flux_V150\n",
+    "std_flux[4] = std_V150\n",
+    "sem_flux[4] = sem_V150\n",
+    "print(f\"Flujo para 150mV: {flux[4]}\")\n",
+    "print(f\"Desviación estándar para 150mV: {std_flux[4]}\")\n",
+    "print(f\"Error estándar de la media para 150mV: {sem_flux[4]}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Voltaje umbral de 175 mV"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "V175=load_data(\"calibrationData/calibration_175mV.dat\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([datetime.time(16, 1, 44, 6000), datetime.time(16, 1, 44, 6000),\n",
+       "       datetime.time(16, 1, 44, 6000), ...,\n",
+       "       datetime.time(16, 6, 34, 8000), datetime.time(16, 6, 34, 8000),\n",
+       "       datetime.time(16, 6, 34, 8000)], dtype=object)"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "time_V175 = time_list(V175)\n",
+    "time_V175"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Flujo para 175mV: 7.003703703703704\n",
+      "Desviación estándar para 175mV: 3.902039493457851\n",
+      "Error estándar de la media para 175mV: 0.23791154684217344\n"
+     ]
+    }
+   ],
+   "source": [
+    "events_V175, counts_V175, flux_V175, std_V175, sem_V175 = events_counts(time_V175)\n",
+    "flux[5] = flux_V175\n",
+    "std_flux[5] = std_V175\n",
+    "sem_flux[5] = sem_V175\n",
+    "print(f\"Flujo para 175mV: {flux[5]}\")\n",
+    "print(f\"Desviación estándar para 175mV: {std_flux[5]}\")\n",
+    "print(f\"Error estándar de la media para 175mV: {sem_flux[5]}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Voltaje umbral de 200 mV"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "V200=load_data(\"calibrationData/calibration_200mV.dat\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([datetime.time(16, 7, 41), datetime.time(16, 7, 41),\n",
+       "       datetime.time(16, 7, 41), ..., datetime.time(16, 12, 44, 10000),\n",
+       "       datetime.time(16, 12, 45, 2000), datetime.time(16, 12, 45, 2000)],\n",
+       "      dtype=object)"
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "time_V200 = time_list(V200)\n",
+    "time_V200"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Flujo para 200mV: 5.467153284671533\n",
+      "Desviación estándar para 200mV: 3.08173591921402\n",
+      "Error estándar de la media para 200mV: 0.18651514267227254\n"
+     ]
+    }
+   ],
+   "source": [
+    "events_V200, counts_V200, flux_V200, std_V200, sem_V200 = events_counts(time_V200)\n",
+    "flux[6] = flux_V200\n",
+    "std_flux[6] = std_V200\n",
+    "sem_flux[6] = sem_V200\n",
+    "print(f\"Flujo para 200mV: {flux[6]}\")\n",
+    "print(f\"Desviación estándar para 200mV: {std_flux[6]}\")\n",
+    "print(f\"Error estándar de la media para 200mV: {sem_flux[6]}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Voltaje umbral de 225 mV"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "V225=load_data(\"calibrationData/calibration_225mV.dat\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([datetime.time(16, 13, 58, 11000), datetime.time(16, 13, 58, 11000),\n",
+       "       datetime.time(16, 13, 58, 11000), ...,\n",
+       "       datetime.time(16, 19, 2, 13000), datetime.time(16, 19, 2, 13000),\n",
+       "       datetime.time(16, 19, 2, 13000)], dtype=object)"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "time_V225 = time_list(V225)\n",
+    "time_V225"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Flujo para 225mV: 4.888888888888889\n",
+      "Desviación estándar para 200mV: 2.7233753129038263\n",
+      "Error estándar de la media para 200mV: 0.16889656706141432\n"
+     ]
+    }
+   ],
+   "source": [
+    "events_V225, counts_V225, flux_V225, std_V225, sem_V225 = events_counts(time_V225)\n",
+    "flux[7] = flux_V225\n",
+    "std_flux[7] = std_V225\n",
+    "sem_flux[7] = sem_V225\n",
+    "print(f\"Flujo para 225mV: {flux[7]}\")\n",
+    "print(f\"Desviación estándar para 200mV: {std_flux[7]}\")\n",
+    "print(f\"Error estándar de la media para 200mV: {sem_flux[7]}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Voltaje umbral de 250 mV"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "V250=load_data(\"calibrationData/calibration_250mV.dat\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([datetime.time(16, 20, 14, 13000), datetime.time(16, 20, 14, 13000),\n",
+       "       datetime.time(16, 20, 15, 5000), datetime.time(16, 20, 15, 5000),\n",
+       "       datetime.time(16, 20, 19, 5000), datetime.time(16, 20, 19, 5000),\n",
+       "       datetime.time(16, 20, 19, 5000), datetime.time(16, 20, 19, 5000),\n",
+       "       datetime.time(16, 20, 20, 13000), datetime.time(16, 20, 20, 13000),\n",
+       "       datetime.time(16, 20, 20, 13000), datetime.time(16, 20, 20, 13000),\n",
+       "       datetime.time(16, 20, 21, 5000), datetime.time(16, 20, 21, 5000),\n",
+       "       datetime.time(16, 20, 21, 5000), datetime.time(16, 20, 21, 5000),\n",
+       "       datetime.time(16, 20, 21, 5000), datetime.time(16, 20, 21, 5000),\n",
+       "       datetime.time(16, 20, 21, 5000), datetime.time(16, 20, 21, 5000),\n",
+       "       datetime.time(16, 20, 22, 13000), datetime.time(16, 20, 22, 13000),\n",
+       "       datetime.time(16, 20, 22, 13000), datetime.time(16, 20, 22, 13000),\n",
+       "       datetime.time(16, 20, 23, 5000), datetime.time(16, 20, 23, 5000),\n",
+       "       datetime.time(16, 20, 24, 13000), datetime.time(16, 20, 24, 13000),\n",
+       "       datetime.time(16, 20, 24, 13000), datetime.time(16, 20, 24, 13000),\n",
+       "       datetime.time(16, 20, 24, 13000), datetime.time(16, 20, 24, 13000),\n",
+       "       datetime.time(16, 20, 24, 13000), datetime.time(16, 20, 24, 13000),\n",
+       "       datetime.time(16, 20, 24, 13000), datetime.time(16, 20, 26, 13000),\n",
+       "       datetime.time(16, 20, 26, 13000), datetime.time(16, 20, 27, 5000),\n",
+       "       datetime.time(16, 20, 27, 5000), datetime.time(16, 20, 28, 13000),\n",
+       "       datetime.time(16, 20, 28, 13000), datetime.time(16, 20, 30, 13000),\n",
+       "       datetime.time(16, 20, 30, 13000), datetime.time(16, 20, 31, 5000),\n",
+       "       datetime.time(16, 20, 31, 5000), datetime.time(16, 20, 31, 5000),\n",
+       "       datetime.time(16, 20, 31, 5000), datetime.time(16, 20, 31, 5000),\n",
+       "       datetime.time(16, 20, 31, 5000), datetime.time(16, 20, 31, 5000),\n",
+       "       datetime.time(16, 20, 31, 5000), datetime.time(16, 20, 34, 13000),\n",
+       "       datetime.time(16, 20, 34, 13000), datetime.time(16, 20, 34, 13000),\n",
+       "       datetime.time(16, 20, 34, 13000), datetime.time(16, 20, 34, 13000),\n",
+       "       datetime.time(16, 20, 34, 13000), datetime.time(16, 20, 34, 13000),\n",
+       "       datetime.time(16, 20, 35, 5000), datetime.time(16, 20, 35, 5000),\n",
+       "       datetime.time(16, 20, 37, 5000), datetime.time(16, 20, 37, 5000),\n",
+       "       datetime.time(16, 20, 37, 5000), datetime.time(16, 20, 37, 5000),\n",
+       "       datetime.time(16, 20, 37, 5000), datetime.time(16, 20, 37, 5000),\n",
+       "       datetime.time(16, 20, 37, 5000), datetime.time(16, 20, 37, 5000),\n",
+       "       datetime.time(16, 20, 37, 5000), datetime.time(16, 20, 37, 5000),\n",
+       "       datetime.time(16, 20, 37, 5000), datetime.time(16, 20, 38, 13000),\n",
+       "       datetime.time(16, 20, 38, 13000), datetime.time(16, 20, 39, 5000),\n",
+       "       datetime.time(16, 20, 39, 5000), datetime.time(16, 20, 39, 5000),\n",
+       "       datetime.time(16, 20, 39, 5000), datetime.time(16, 20, 39, 5000),\n",
+       "       datetime.time(16, 20, 40, 13000), datetime.time(16, 20, 40, 13000),\n",
+       "       datetime.time(16, 20, 40, 13000), datetime.time(16, 20, 40, 13000),\n",
+       "       datetime.time(16, 20, 40, 13000), datetime.time(16, 20, 42, 13000),\n",
+       "       datetime.time(16, 20, 42, 13000), datetime.time(16, 20, 43, 5000),\n",
+       "       datetime.time(16, 20, 43, 5000), datetime.time(16, 20, 44, 13000),\n",
+       "       datetime.time(16, 20, 44, 13000), datetime.time(16, 20, 45, 5000),\n",
+       "       datetime.time(16, 20, 45, 5000), datetime.time(16, 20, 45, 5000),\n",
+       "       datetime.time(16, 20, 45, 5000), datetime.time(16, 20, 45, 5000),\n",
+       "       datetime.time(16, 20, 45, 5000), datetime.time(16, 20, 46, 13000),\n",
+       "       datetime.time(16, 20, 46, 13000), datetime.time(16, 20, 46, 13000),\n",
+       "       datetime.time(16, 20, 48, 13000), datetime.time(16, 20, 48, 13000),\n",
+       "       datetime.time(16, 20, 48, 13000), datetime.time(16, 20, 48, 13000),\n",
+       "       datetime.time(16, 20, 49, 5000), datetime.time(16, 20, 49, 5000),\n",
+       "       datetime.time(16, 20, 51, 5000), datetime.time(16, 20, 51, 5000),\n",
+       "       datetime.time(16, 20, 52, 13000), datetime.time(16, 20, 52, 13000),\n",
+       "       datetime.time(16, 20, 52, 13000), datetime.time(16, 20, 52, 13000),\n",
+       "       datetime.time(16, 20, 52, 13000), datetime.time(16, 20, 52, 13000),\n",
+       "       datetime.time(16, 20, 52, 13000), datetime.time(16, 20, 52, 13000),\n",
+       "       datetime.time(16, 20, 52, 13000), datetime.time(16, 20, 54, 13000),\n",
+       "       datetime.time(16, 20, 54, 13000), datetime.time(16, 20, 54, 13000),\n",
+       "       datetime.time(16, 20, 54, 13000), datetime.time(16, 20, 54, 13000),\n",
+       "       datetime.time(16, 20, 54, 13000), datetime.time(16, 20, 55, 5000),\n",
+       "       datetime.time(16, 20, 55, 5000), datetime.time(16, 20, 56, 13000),\n",
+       "       datetime.time(16, 20, 56, 13000), datetime.time(16, 20, 56, 13000),\n",
+       "       datetime.time(16, 20, 56, 13000), datetime.time(16, 20, 56, 13000),\n",
+       "       datetime.time(16, 20, 56, 13000), datetime.time(16, 20, 56, 13000),\n",
+       "       datetime.time(16, 20, 56, 13000), datetime.time(16, 20, 57, 5000),\n",
+       "       datetime.time(16, 20, 57, 5000), datetime.time(16, 20, 57, 5000),\n",
+       "       datetime.time(16, 20, 57, 5000), datetime.time(16, 20, 57, 5000),\n",
+       "       datetime.time(16, 20, 58, 13000), datetime.time(16, 20, 58, 13000),\n",
+       "       datetime.time(16, 20, 58, 13000), datetime.time(16, 20, 58, 13000),\n",
+       "       datetime.time(16, 21, 1, 5000), datetime.time(16, 21, 1, 5000),\n",
+       "       datetime.time(16, 21, 2, 13000), datetime.time(16, 21, 2, 13000),\n",
+       "       datetime.time(16, 21, 5, 5000), datetime.time(16, 21, 5, 5000),\n",
+       "       datetime.time(16, 21, 5, 5000), datetime.time(16, 21, 5, 5000),\n",
+       "       datetime.time(16, 21, 5, 5000), datetime.time(16, 21, 5, 5000),\n",
+       "       datetime.time(16, 21, 6, 13000), datetime.time(16, 21, 6, 13000),\n",
+       "       datetime.time(16, 21, 6, 13000), datetime.time(16, 21, 6, 13000),\n",
+       "       datetime.time(16, 21, 9, 5000), datetime.time(16, 21, 9, 5000),\n",
+       "       datetime.time(16, 21, 9, 5000), datetime.time(16, 21, 9, 5000),\n",
+       "       datetime.time(16, 21, 9, 5000), datetime.time(16, 21, 10, 13000),\n",
+       "       datetime.time(16, 21, 10, 13000), datetime.time(16, 21, 11, 5000),\n",
+       "       datetime.time(16, 21, 11, 5000), datetime.time(16, 21, 11, 5000),\n",
+       "       datetime.time(16, 21, 11, 5000), datetime.time(16, 21, 12, 13000),\n",
+       "       datetime.time(16, 21, 12, 13000), datetime.time(16, 21, 13, 5000),\n",
+       "       datetime.time(16, 21, 13, 5000), datetime.time(16, 21, 13, 5000),\n",
+       "       datetime.time(16, 21, 13, 5000), datetime.time(16, 21, 13, 5000),\n",
+       "       datetime.time(16, 21, 13, 5000), datetime.time(16, 21, 13, 5000),\n",
+       "       datetime.time(16, 21, 13, 5000), datetime.time(16, 21, 13, 5000),\n",
+       "       datetime.time(16, 21, 13, 5000), datetime.time(16, 21, 13, 5000),\n",
+       "       datetime.time(16, 21, 14, 13000), datetime.time(16, 21, 14, 13000),\n",
+       "       datetime.time(16, 21, 14, 13000), datetime.time(16, 21, 14, 13000),\n",
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+       "       datetime.time(16, 23, 28, 14000), datetime.time(16, 23, 28, 14000),\n",
+       "       datetime.time(16, 23, 28, 14000), datetime.time(16, 23, 29, 6000),\n",
+       "       datetime.time(16, 23, 29, 6000), datetime.time(16, 23, 29, 6000),\n",
+       "       datetime.time(16, 23, 29, 6000), datetime.time(16, 23, 29, 6000),\n",
+       "       datetime.time(16, 23, 29, 6000), datetime.time(16, 23, 29, 6000),\n",
+       "       datetime.time(16, 23, 29, 6000), datetime.time(16, 23, 29, 6000),\n",
+       "       datetime.time(16, 23, 29, 6000), datetime.time(16, 23, 30, 14000),\n",
+       "       datetime.time(16, 23, 30, 14000), datetime.time(16, 23, 30, 14000),\n",
+       "       datetime.time(16, 23, 30, 14000), datetime.time(16, 23, 30, 14000),\n",
+       "       datetime.time(16, 23, 30, 14000), datetime.time(16, 23, 31, 6000),\n",
+       "       datetime.time(16, 23, 31, 6000), datetime.time(16, 23, 31, 6000),\n",
+       "       datetime.time(16, 23, 31, 6000), datetime.time(16, 23, 32, 14000),\n",
+       "       datetime.time(16, 23, 32, 14000), datetime.time(16, 23, 32, 14000),\n",
+       "       datetime.time(16, 23, 32, 14000), datetime.time(16, 23, 32, 14000),\n",
+       "       datetime.time(16, 23, 32, 14000), datetime.time(16, 23, 33, 6000),\n",
+       "       datetime.time(16, 23, 33, 6000), datetime.time(16, 23, 33, 6000),\n",
+       "       datetime.time(16, 23, 33, 6000), datetime.time(16, 23, 33, 6000),\n",
+       "       datetime.time(16, 23, 33, 6000), datetime.time(16, 23, 33, 6000),\n",
+       "       datetime.time(16, 23, 33, 6000), datetime.time(16, 23, 33, 6000),\n",
+       "       datetime.time(16, 23, 35, 6000), datetime.time(16, 23, 35, 6000),\n",
+       "       datetime.time(16, 23, 37, 6000), datetime.time(16, 23, 37, 6000),\n",
+       "       datetime.time(16, 23, 37, 6000), datetime.time(16, 23, 37, 6000),\n",
+       "       datetime.time(16, 23, 38, 14000), datetime.time(16, 23, 38, 14000),\n",
+       "       datetime.time(16, 23, 38, 14000), datetime.time(16, 23, 38, 14000),\n",
+       "       datetime.time(16, 23, 38, 14000), datetime.time(16, 23, 38, 14000),\n",
+       "       datetime.time(16, 23, 38, 14000), datetime.time(16, 23, 39, 6000),\n",
+       "       datetime.time(16, 23, 39, 6000), datetime.time(16, 23, 40, 14000),\n",
+       "       datetime.time(16, 23, 40, 14000), datetime.time(16, 23, 41, 6000),\n",
+       "       datetime.time(16, 23, 41, 6000), datetime.time(16, 23, 42, 14000),\n",
+       "       datetime.time(16, 23, 42, 14000), datetime.time(16, 23, 43, 6000),\n",
+       "       datetime.time(16, 23, 43, 6000), datetime.time(16, 23, 43, 6000),\n",
+       "       datetime.time(16, 23, 43, 6000), datetime.time(16, 23, 44, 14000),\n",
+       "       datetime.time(16, 23, 44, 14000), datetime.time(16, 23, 45, 6000),\n",
+       "       datetime.time(16, 23, 45, 6000), datetime.time(16, 23, 45, 6000),\n",
+       "       datetime.time(16, 23, 45, 6000), datetime.time(16, 23, 45, 6000),\n",
+       "       datetime.time(16, 23, 45, 6000), datetime.time(16, 23, 45, 6000),\n",
+       "       datetime.time(16, 23, 45, 6000), datetime.time(16, 23, 45, 6000),\n",
+       "       datetime.time(16, 23, 46, 14000), datetime.time(16, 23, 46, 14000),\n",
+       "       datetime.time(16, 23, 46, 14000), datetime.time(16, 23, 46, 14000),\n",
+       "       datetime.time(16, 23, 46, 14000), datetime.time(16, 23, 46, 14000),\n",
+       "       datetime.time(16, 23, 47, 6000), datetime.time(16, 23, 47, 6000),\n",
+       "       datetime.time(16, 23, 47, 6000), datetime.time(16, 23, 47, 6000),\n",
+       "       datetime.time(16, 23, 47, 6000), datetime.time(16, 23, 47, 6000),\n",
+       "       datetime.time(16, 23, 50, 14000), datetime.time(16, 23, 50, 14000),\n",
+       "       datetime.time(16, 23, 51, 6000), datetime.time(16, 23, 51, 6000),\n",
+       "       datetime.time(16, 23, 51, 6000), datetime.time(16, 23, 51, 6000),\n",
+       "       datetime.time(16, 23, 51, 6000), datetime.time(16, 23, 51, 6000),\n",
+       "       datetime.time(16, 23, 51, 6000), datetime.time(16, 23, 52, 14000),\n",
+       "       datetime.time(16, 23, 52, 14000), datetime.time(16, 23, 53, 6000),\n",
+       "       datetime.time(16, 23, 53, 6000), datetime.time(16, 23, 53, 6000),\n",
+       "       datetime.time(16, 23, 53, 6000), datetime.time(16, 23, 55, 6000),\n",
+       "       datetime.time(16, 23, 55, 6000), datetime.time(16, 23, 55, 6000),\n",
+       "       datetime.time(16, 23, 55, 6000), datetime.time(16, 23, 56, 14000),\n",
+       "       datetime.time(16, 23, 56, 14000), datetime.time(16, 23, 57, 6000),\n",
+       "       datetime.time(16, 23, 57, 6000), datetime.time(16, 23, 57, 6000),\n",
+       "       datetime.time(16, 23, 57, 6000), datetime.time(16, 23, 58, 14000),\n",
+       "       datetime.time(16, 23, 58, 14000), datetime.time(16, 23, 58, 14000),\n",
+       "       datetime.time(16, 23, 59, 7000), datetime.time(16, 23, 59, 7000),\n",
+       "       datetime.time(16, 24, 0, 15000), datetime.time(16, 24, 0, 15000),\n",
+       "       datetime.time(16, 24, 0, 15000), datetime.time(16, 24, 0, 15000),\n",
+       "       datetime.time(16, 24, 0, 15000), datetime.time(16, 24, 0, 15000),\n",
+       "       datetime.time(16, 24, 1, 7000), datetime.time(16, 24, 1, 7000),\n",
+       "       datetime.time(16, 24, 1, 7000), datetime.time(16, 24, 1, 7000),\n",
+       "       datetime.time(16, 24, 1, 7000), datetime.time(16, 24, 1, 7000),\n",
+       "       datetime.time(16, 24, 3, 7000), datetime.time(16, 24, 3, 7000),\n",
+       "       datetime.time(16, 24, 3, 7000), datetime.time(16, 24, 3, 7000),\n",
+       "       datetime.time(16, 24, 4, 15000), datetime.time(16, 24, 4, 15000),\n",
+       "       datetime.time(16, 24, 4, 15000), datetime.time(16, 24, 4, 15000),\n",
+       "       datetime.time(16, 24, 4, 15000), datetime.time(16, 24, 5, 7000),\n",
+       "       datetime.time(16, 24, 5, 7000), datetime.time(16, 24, 6, 15000),\n",
+       "       datetime.time(16, 24, 6, 15000), datetime.time(16, 24, 6, 15000),\n",
+       "       datetime.time(16, 24, 6, 15000), datetime.time(16, 24, 6, 15000),\n",
+       "       datetime.time(16, 24, 6, 15000), datetime.time(16, 24, 6, 15000),\n",
+       "       datetime.time(16, 24, 6, 15000), datetime.time(16, 24, 7, 7000),\n",
+       "       datetime.time(16, 24, 7, 7000), datetime.time(16, 24, 7, 7000),\n",
+       "       datetime.time(16, 24, 11, 7000), datetime.time(16, 24, 11, 7000),\n",
+       "       datetime.time(16, 24, 13, 7000), datetime.time(16, 24, 13, 7000),\n",
+       "       datetime.time(16, 24, 15, 7000), datetime.time(16, 24, 15, 7000),\n",
+       "       datetime.time(16, 24, 15, 7000), datetime.time(16, 24, 15, 7000),\n",
+       "       datetime.time(16, 24, 15, 7000), datetime.time(16, 24, 15, 7000),\n",
+       "       datetime.time(16, 24, 16, 15000), datetime.time(16, 24, 16, 15000),\n",
+       "       datetime.time(16, 24, 16, 15000), datetime.time(16, 24, 16, 15000),\n",
+       "       datetime.time(16, 24, 18, 15000), datetime.time(16, 24, 18, 15000),\n",
+       "       datetime.time(16, 24, 18, 15000), datetime.time(16, 24, 18, 15000),\n",
+       "       datetime.time(16, 24, 18, 15000), datetime.time(16, 24, 18, 15000),\n",
+       "       datetime.time(16, 24, 19, 7000), datetime.time(16, 24, 19, 7000),\n",
+       "       datetime.time(16, 24, 19, 7000), datetime.time(16, 24, 19, 7000),\n",
+       "       datetime.time(16, 24, 19, 7000), datetime.time(16, 24, 19, 7000),\n",
+       "       datetime.time(16, 24, 19, 7000), datetime.time(16, 24, 19, 7000),\n",
+       "       datetime.time(16, 24, 19, 7000), datetime.time(16, 24, 19, 7000),\n",
+       "       datetime.time(16, 24, 20, 15000), datetime.time(16, 24, 20, 15000),\n",
+       "       datetime.time(16, 24, 20, 15000), datetime.time(16, 24, 20, 15000),\n",
+       "       datetime.time(16, 24, 20, 15000), datetime.time(16, 24, 22, 15000),\n",
+       "       datetime.time(16, 24, 22, 15000), datetime.time(16, 24, 22, 15000),\n",
+       "       datetime.time(16, 24, 22, 15000), datetime.time(16, 24, 22, 15000),\n",
+       "       datetime.time(16, 24, 22, 15000), datetime.time(16, 24, 22, 15000),\n",
+       "       datetime.time(16, 24, 22, 15000), datetime.time(16, 24, 22, 15000),\n",
+       "       datetime.time(16, 24, 22, 15000), datetime.time(16, 24, 23, 7000),\n",
+       "       datetime.time(16, 24, 23, 7000), datetime.time(16, 24, 25, 7000),\n",
+       "       datetime.time(16, 24, 25, 7000), datetime.time(16, 24, 26, 15000),\n",
+       "       datetime.time(16, 24, 26, 15000), datetime.time(16, 24, 26, 15000),\n",
+       "       datetime.time(16, 24, 27, 7000), datetime.time(16, 24, 27, 7000),\n",
+       "       datetime.time(16, 24, 27, 7000), datetime.time(16, 24, 27, 7000),\n",
+       "       datetime.time(16, 24, 28, 15000), datetime.time(16, 24, 28, 15000),\n",
+       "       datetime.time(16, 24, 29, 7000), datetime.time(16, 24, 29, 7000),\n",
+       "       datetime.time(16, 24, 29, 7000), datetime.time(16, 24, 29, 7000),\n",
+       "       datetime.time(16, 24, 29, 7000), datetime.time(16, 24, 29, 7000),\n",
+       "       datetime.time(16, 24, 31, 7000), datetime.time(16, 24, 31, 7000),\n",
+       "       datetime.time(16, 24, 31, 7000), datetime.time(16, 24, 31, 7000),\n",
+       "       datetime.time(16, 24, 31, 7000), datetime.time(16, 24, 31, 7000),\n",
+       "       datetime.time(16, 24, 32, 15000), datetime.time(16, 24, 32, 15000),\n",
+       "       datetime.time(16, 24, 33, 7000), datetime.time(16, 24, 33, 7000),\n",
+       "       datetime.time(16, 24, 33, 7000), datetime.time(16, 24, 33, 7000),\n",
+       "       datetime.time(16, 24, 33, 7000), datetime.time(16, 24, 33, 7000),\n",
+       "       datetime.time(16, 24, 34, 15000), datetime.time(16, 24, 34, 15000),\n",
+       "       datetime.time(16, 24, 34, 15000), datetime.time(16, 24, 34, 15000),\n",
+       "       datetime.time(16, 24, 34, 15000), datetime.time(16, 24, 34, 15000),\n",
+       "       datetime.time(16, 24, 34, 15000), datetime.time(16, 24, 34, 15000),\n",
+       "       datetime.time(16, 24, 35, 7000), datetime.time(16, 24, 35, 7000),\n",
+       "       datetime.time(16, 24, 35, 7000), datetime.time(16, 24, 36, 15000),\n",
+       "       datetime.time(16, 24, 36, 15000), datetime.time(16, 24, 36, 15000),\n",
+       "       datetime.time(16, 24, 36, 15000), datetime.time(16, 24, 36, 15000),\n",
+       "       datetime.time(16, 24, 36, 15000), datetime.time(16, 24, 36, 15000),\n",
+       "       datetime.time(16, 24, 37, 7000), datetime.time(16, 24, 37, 7000),\n",
+       "       datetime.time(16, 24, 41, 7000), datetime.time(16, 24, 41, 7000),\n",
+       "       datetime.time(16, 24, 41, 7000), datetime.time(16, 24, 41, 7000),\n",
+       "       datetime.time(16, 24, 41, 7000), datetime.time(16, 24, 42, 15000),\n",
+       "       datetime.time(16, 24, 42, 15000), datetime.time(16, 24, 42, 15000),\n",
+       "       datetime.time(16, 24, 42, 15000), datetime.time(16, 24, 42, 15000),\n",
+       "       datetime.time(16, 24, 43, 7000), datetime.time(16, 24, 43, 7000),\n",
+       "       datetime.time(16, 24, 44, 15000), datetime.time(16, 24, 44, 15000),\n",
+       "       datetime.time(16, 24, 44, 15000), datetime.time(16, 24, 44, 15000),\n",
+       "       datetime.time(16, 24, 45, 7000), datetime.time(16, 24, 45, 7000),\n",
+       "       datetime.time(16, 24, 47, 7000), datetime.time(16, 24, 47, 7000),\n",
+       "       datetime.time(16, 24, 48, 15000), datetime.time(16, 24, 48, 15000),\n",
+       "       datetime.time(16, 24, 48, 15000), datetime.time(16, 24, 48, 15000),\n",
+       "       datetime.time(16, 24, 49, 7000), datetime.time(16, 24, 49, 7000),\n",
+       "       datetime.time(16, 24, 49, 7000), datetime.time(16, 24, 49, 7000),\n",
+       "       datetime.time(16, 24, 51, 7000), datetime.time(16, 24, 51, 7000),\n",
+       "       datetime.time(16, 24, 51, 7000), datetime.time(16, 24, 51, 7000),\n",
+       "       datetime.time(16, 24, 51, 7000), datetime.time(16, 24, 51, 7000),\n",
+       "       datetime.time(16, 24, 51, 7000), datetime.time(16, 24, 52, 15000),\n",
+       "       datetime.time(16, 24, 52, 15000), datetime.time(16, 24, 52, 15000),\n",
+       "       datetime.time(16, 24, 52, 15000), datetime.time(16, 24, 54, 15000),\n",
+       "       datetime.time(16, 24, 54, 15000), datetime.time(16, 24, 54, 15000),\n",
+       "       datetime.time(16, 24, 54, 15000), datetime.time(16, 24, 54, 15000),\n",
+       "       datetime.time(16, 24, 54, 15000), datetime.time(16, 24, 55, 7000),\n",
+       "       datetime.time(16, 24, 55, 7000), datetime.time(16, 24, 55, 7000),\n",
+       "       datetime.time(16, 24, 55, 7000), datetime.time(16, 24, 55, 7000),\n",
+       "       datetime.time(16, 24, 56, 15000), datetime.time(16, 24, 56, 15000),\n",
+       "       datetime.time(16, 24, 56, 15000), datetime.time(16, 24, 56, 15000),\n",
+       "       datetime.time(16, 24, 58, 15000), datetime.time(16, 24, 58, 15000),\n",
+       "       datetime.time(16, 25, 1, 7000), datetime.time(16, 25, 1, 7000),\n",
+       "       datetime.time(16, 25, 1, 7000), datetime.time(16, 25, 1, 7000),\n",
+       "       datetime.time(16, 25, 1, 7000), datetime.time(16, 25, 1, 7000),\n",
+       "       datetime.time(16, 25, 3, 7000), datetime.time(16, 25, 3, 7000),\n",
+       "       datetime.time(16, 25, 3, 7000), datetime.time(16, 25, 4, 15000),\n",
+       "       datetime.time(16, 25, 4, 15000), datetime.time(16, 25, 4, 15000),\n",
+       "       datetime.time(16, 25, 4, 15000), datetime.time(16, 25, 4, 15000)],\n",
+       "      dtype=object)"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "time_V250 = time_list(V250)\n",
+    "time_V250"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Flujo para 250mV: 4.385650224215246\n",
+      "Desviación estándar para 250mV: 2.654072157397073\n",
+      "Error estándar de la media para 250mV: 0.17812965994119945\n"
+     ]
+    }
+   ],
+   "source": [
+    "events_V250, counts_V250, flux_V250, std_V250, sem_V250 = events_counts(time_V250)\n",
+    "flux[8] = flux_V250\n",
+    "std_flux[8] = std_V250\n",
+    "sem_flux[8] = sem_V250\n",
+    "print(f\"Flujo para 250mV: {flux[8]}\")\n",
+    "print(f\"Desviación estándar para 250mV: {std_flux[8]}\")\n",
+    "print(f\"Error estándar de la media para 250mV: {sem_flux[8]}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Voltaje umbral de 275 mV"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "V275=load_data(\"calibrationData/calibration_275mV.dat\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
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+       "       datetime.time(16, 26, 55, 8000), datetime.time(16, 26, 56),\n",
+       "       datetime.time(16, 26, 56), datetime.time(16, 26, 58),\n",
+       "       datetime.time(16, 26, 58), datetime.time(16, 26, 58),\n",
+       "       datetime.time(16, 26, 58), datetime.time(16, 27),\n",
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+       "       datetime.time(16, 27, 5, 8000), datetime.time(16, 27, 5, 8000),\n",
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+       "       datetime.time(16, 27, 17, 8000), datetime.time(16, 27, 17, 8000),\n",
+       "       datetime.time(16, 27, 17, 8000), datetime.time(16, 27, 18),\n",
+       "       datetime.time(16, 27, 18), datetime.time(16, 27, 19, 8000),\n",
+       "       datetime.time(16, 27, 19, 8000), datetime.time(16, 27, 19, 8000),\n",
+       "       datetime.time(16, 27, 19, 8000), datetime.time(16, 27, 20),\n",
+       "       datetime.time(16, 27, 20), datetime.time(16, 27, 20),\n",
+       "       datetime.time(16, 27, 20), datetime.time(16, 27, 20),\n",
+       "       datetime.time(16, 27, 21, 8000), datetime.time(16, 27, 21, 8000),\n",
+       "       datetime.time(16, 27, 21, 8000), datetime.time(16, 27, 21, 8000),\n",
+       "       datetime.time(16, 27, 23, 8000), datetime.time(16, 27, 23, 8000),\n",
+       "       datetime.time(16, 27, 23, 8000), datetime.time(16, 27, 23, 8000),\n",
+       "       datetime.time(16, 27, 25, 8000), datetime.time(16, 27, 25, 8000),\n",
+       "       datetime.time(16, 27, 26), datetime.time(16, 27, 26),\n",
+       "       datetime.time(16, 27, 26), datetime.time(16, 27, 26),\n",
+       "       datetime.time(16, 27, 26), datetime.time(16, 27, 26),\n",
+       "       datetime.time(16, 27, 29, 8000), datetime.time(16, 27, 29, 8000),\n",
+       "       datetime.time(16, 27, 29, 8000), datetime.time(16, 27, 29, 8000),\n",
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+       "       datetime.time(16, 27, 34), datetime.time(16, 27, 34),\n",
+       "       datetime.time(16, 27, 35, 8000), datetime.time(16, 27, 35, 8000),\n",
+       "       datetime.time(16, 27, 36), datetime.time(16, 27, 36),\n",
+       "       datetime.time(16, 27, 36), datetime.time(16, 27, 36),\n",
+       "       datetime.time(16, 27, 36), datetime.time(16, 27, 36),\n",
+       "       datetime.time(16, 27, 36), datetime.time(16, 27, 37, 8000),\n",
+       "       datetime.time(16, 27, 37, 8000), datetime.time(16, 27, 37, 8000),\n",
+       "       datetime.time(16, 27, 38), datetime.time(16, 27, 38),\n",
+       "       datetime.time(16, 27, 38), datetime.time(16, 27, 38),\n",
+       "       datetime.time(16, 27, 39, 8000), datetime.time(16, 27, 39, 8000),\n",
+       "       datetime.time(16, 27, 39, 8000), datetime.time(16, 27, 39, 8000),\n",
+       "       datetime.time(16, 27, 39, 8000), datetime.time(16, 27, 39, 8000),\n",
+       "       datetime.time(16, 27, 39, 8000), datetime.time(16, 27, 40),\n",
+       "       datetime.time(16, 27, 40), datetime.time(16, 27, 40),\n",
+       "       datetime.time(16, 27, 40), datetime.time(16, 27, 41, 8000),\n",
+       "       datetime.time(16, 27, 41, 8000), datetime.time(16, 27, 41, 8000),\n",
+       "       datetime.time(16, 27, 41, 8000), datetime.time(16, 27, 42),\n",
+       "       datetime.time(16, 27, 42), datetime.time(16, 27, 42),\n",
+       "       datetime.time(16, 27, 42), datetime.time(16, 27, 42),\n",
+       "       datetime.time(16, 27, 42), datetime.time(16, 27, 42),\n",
+       "       datetime.time(16, 27, 43, 8000), datetime.time(16, 27, 43, 8000),\n",
+       "       datetime.time(16, 27, 44), datetime.time(16, 27, 44),\n",
+       "       datetime.time(16, 27, 47, 8000), datetime.time(16, 27, 47, 8000),\n",
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+       "       datetime.time(16, 30, 46, 1000), datetime.time(16, 30, 46, 1000),\n",
+       "       datetime.time(16, 30, 46, 1000), datetime.time(16, 30, 48, 1000),\n",
+       "       datetime.time(16, 30, 48, 1000), datetime.time(16, 30, 48, 1000),\n",
+       "       datetime.time(16, 30, 48, 1000), datetime.time(16, 30, 48, 1000),\n",
+       "       datetime.time(16, 30, 48, 1000), datetime.time(16, 30, 48, 1000),\n",
+       "       datetime.time(16, 30, 48, 1000), datetime.time(16, 30, 49, 9000),\n",
+       "       datetime.time(16, 30, 49, 9000), datetime.time(16, 30, 50, 1000),\n",
+       "       datetime.time(16, 30, 50, 1000), datetime.time(16, 30, 50, 1000),\n",
+       "       datetime.time(16, 30, 50, 1000), datetime.time(16, 30, 51, 9000),\n",
+       "       datetime.time(16, 30, 51, 9000), datetime.time(16, 30, 53, 9000),\n",
+       "       datetime.time(16, 30, 53, 9000), datetime.time(16, 30, 53, 9000),\n",
+       "       datetime.time(16, 30, 53, 9000), datetime.time(16, 30, 53, 9000),\n",
+       "       datetime.time(16, 30, 55, 9000), datetime.time(16, 30, 55, 9000),\n",
+       "       datetime.time(16, 30, 55, 9000), datetime.time(16, 30, 55, 9000),\n",
+       "       datetime.time(16, 30, 55, 9000), datetime.time(16, 30, 55, 9000),\n",
+       "       datetime.time(16, 30, 55, 9000), datetime.time(16, 30, 55, 9000),\n",
+       "       datetime.time(16, 30, 55, 9000), datetime.time(16, 30, 55, 9000),\n",
+       "       datetime.time(16, 30, 56, 1000), datetime.time(16, 30, 56, 1000),\n",
+       "       datetime.time(16, 30, 56, 1000), datetime.time(16, 30, 56, 1000),\n",
+       "       datetime.time(16, 30, 56, 1000), datetime.time(16, 30, 56, 1000),\n",
+       "       datetime.time(16, 30, 57, 9000), datetime.time(16, 30, 57, 9000),\n",
+       "       datetime.time(16, 30, 57, 9000), datetime.time(16, 30, 57, 9000),\n",
+       "       datetime.time(16, 30, 58, 1000), datetime.time(16, 30, 58, 1000),\n",
+       "       datetime.time(16, 30, 58, 1000), datetime.time(16, 30, 58, 1000),\n",
+       "       datetime.time(16, 30, 59, 9000), datetime.time(16, 30, 59, 9000),\n",
+       "       datetime.time(16, 30, 59, 9000), datetime.time(16, 30, 59, 9000),\n",
+       "       datetime.time(16, 30, 59, 9000), datetime.time(16, 30, 59, 9000),\n",
+       "       datetime.time(16, 30, 59, 9000), datetime.time(16, 30, 59, 9000),\n",
+       "       datetime.time(16, 31, 0, 1000), datetime.time(16, 31, 0, 1000),\n",
+       "       datetime.time(16, 31, 1, 9000), datetime.time(16, 31, 1, 9000),\n",
+       "       datetime.time(16, 31, 1, 9000), datetime.time(16, 31, 1, 9000),\n",
+       "       datetime.time(16, 31, 1, 9000), datetime.time(16, 31, 1, 9000),\n",
+       "       datetime.time(16, 31, 1, 9000), datetime.time(16, 31, 2, 1000),\n",
+       "       datetime.time(16, 31, 2, 1000), datetime.time(16, 31, 4, 1000),\n",
+       "       datetime.time(16, 31, 4, 1000), datetime.time(16, 31, 4, 1000),\n",
+       "       datetime.time(16, 31, 4, 1000), datetime.time(16, 31, 4, 1000),\n",
+       "       datetime.time(16, 31, 4, 1000), datetime.time(16, 31, 4, 1000),\n",
+       "       datetime.time(16, 31, 4, 1000), datetime.time(16, 31, 6, 1000),\n",
+       "       datetime.time(16, 31, 6, 1000), datetime.time(16, 31, 6, 1000),\n",
+       "       datetime.time(16, 31, 6, 1000), datetime.time(16, 31, 6, 1000),\n",
+       "       datetime.time(16, 31, 6, 1000), datetime.time(16, 31, 6, 1000),\n",
+       "       datetime.time(16, 31, 6, 1000), datetime.time(16, 31, 8, 1000),\n",
+       "       datetime.time(16, 31, 8, 1000), datetime.time(16, 31, 10, 1000),\n",
+       "       datetime.time(16, 31, 10, 1000), datetime.time(16, 31, 10, 1000),\n",
+       "       datetime.time(16, 31, 10, 1000), datetime.time(16, 31, 11, 9000),\n",
+       "       datetime.time(16, 31, 11, 9000), datetime.time(16, 31, 11, 9000),\n",
+       "       datetime.time(16, 31, 11, 9000), datetime.time(16, 31, 11, 9000),\n",
+       "       datetime.time(16, 31, 11, 9000), datetime.time(16, 31, 11, 9000),\n",
+       "       datetime.time(16, 31, 12, 1000), datetime.time(16, 31, 12, 1000),\n",
+       "       datetime.time(16, 31, 12, 1000), datetime.time(16, 31, 12, 1000),\n",
+       "       datetime.time(16, 31, 12, 1000), datetime.time(16, 31, 12, 1000),\n",
+       "       datetime.time(16, 31, 14, 1000), datetime.time(16, 31, 14, 1000),\n",
+       "       datetime.time(16, 31, 15, 9000), datetime.time(16, 31, 15, 9000),\n",
+       "       datetime.time(16, 31, 15, 9000), datetime.time(16, 31, 18, 1000),\n",
+       "       datetime.time(16, 31, 18, 1000), datetime.time(16, 31, 18, 1000),\n",
+       "       datetime.time(16, 31, 19, 9000), datetime.time(16, 31, 19, 9000),\n",
+       "       datetime.time(16, 31, 20, 1000), datetime.time(16, 31, 20, 1000),\n",
+       "       datetime.time(16, 31, 21, 9000), datetime.time(16, 31, 21, 9000),\n",
+       "       datetime.time(16, 31, 21, 9000), datetime.time(16, 31, 21, 9000),\n",
+       "       datetime.time(16, 31, 22, 1000), datetime.time(16, 31, 22, 1000),\n",
+       "       datetime.time(16, 31, 23, 9000), datetime.time(16, 31, 23, 9000),\n",
+       "       datetime.time(16, 31, 23, 9000), datetime.time(16, 31, 23, 9000),\n",
+       "       datetime.time(16, 31, 23, 9000), datetime.time(16, 31, 24, 1000),\n",
+       "       datetime.time(16, 31, 24, 1000), datetime.time(16, 31, 24, 1000),\n",
+       "       datetime.time(16, 31, 24, 1000), datetime.time(16, 31, 24, 1000),\n",
+       "       datetime.time(16, 31, 24, 1000), datetime.time(16, 31, 25, 9000),\n",
+       "       datetime.time(16, 31, 25, 9000), datetime.time(16, 31, 25, 9000),\n",
+       "       datetime.time(16, 31, 25, 9000), datetime.time(16, 31, 25, 9000),\n",
+       "       datetime.time(16, 31, 25, 9000), datetime.time(16, 31, 26, 1000),\n",
+       "       datetime.time(16, 31, 26, 1000), datetime.time(16, 31, 27, 9000),\n",
+       "       datetime.time(16, 31, 27, 9000), datetime.time(16, 31, 28, 1000),\n",
+       "       datetime.time(16, 31, 28, 1000), datetime.time(16, 31, 29, 9000),\n",
+       "       datetime.time(16, 31, 29, 9000), datetime.time(16, 31, 29, 9000),\n",
+       "       datetime.time(16, 31, 29, 9000), datetime.time(16, 31, 30, 1000),\n",
+       "       datetime.time(16, 31, 30, 1000), datetime.time(16, 31, 31, 9000),\n",
+       "       datetime.time(16, 31, 31, 9000), datetime.time(16, 31, 31, 9000),\n",
+       "       datetime.time(16, 31, 31, 9000), datetime.time(16, 31, 31, 9000),\n",
+       "       datetime.time(16, 31, 31, 9000), datetime.time(16, 31, 32, 1000),\n",
+       "       datetime.time(16, 31, 32, 1000), datetime.time(16, 31, 32, 1000),\n",
+       "       datetime.time(16, 31, 32, 1000), datetime.time(16, 31, 34, 1000),\n",
+       "       datetime.time(16, 31, 34, 1000), datetime.time(16, 31, 36, 2000),\n",
+       "       datetime.time(16, 31, 36, 2000), datetime.time(16, 31, 36, 2000),\n",
+       "       datetime.time(16, 31, 37, 10000), datetime.time(16, 31, 37, 10000),\n",
+       "       datetime.time(16, 31, 37, 10000), datetime.time(16, 31, 37, 10000),\n",
+       "       datetime.time(16, 31, 37, 10000), datetime.time(16, 31, 38, 2000),\n",
+       "       datetime.time(16, 31, 38, 2000), datetime.time(16, 31, 38, 2000),\n",
+       "       datetime.time(16, 31, 38, 2000), datetime.time(16, 31, 38, 2000),\n",
+       "       datetime.time(16, 31, 38, 2000), datetime.time(16, 31, 38, 2000),\n",
+       "       datetime.time(16, 31, 38, 2000), datetime.time(16, 31, 38, 2000),\n",
+       "       datetime.time(16, 31, 38, 2000), datetime.time(16, 31, 39, 10000),\n",
+       "       datetime.time(16, 31, 39, 10000), datetime.time(16, 31, 40, 2000),\n",
+       "       datetime.time(16, 31, 40, 2000), datetime.time(16, 31, 41, 10000),\n",
+       "       datetime.time(16, 31, 41, 10000), datetime.time(16, 31, 41, 10000),\n",
+       "       datetime.time(16, 31, 42, 2000), datetime.time(16, 31, 42, 2000),\n",
+       "       datetime.time(16, 31, 42, 2000), datetime.time(16, 31, 42, 2000),\n",
+       "       datetime.time(16, 31, 42, 2000), datetime.time(16, 31, 42, 2000),\n",
+       "       datetime.time(16, 31, 44, 2000), datetime.time(16, 31, 44, 2000),\n",
+       "       datetime.time(16, 31, 44, 2000), datetime.time(16, 31, 44, 2000),\n",
+       "       datetime.time(16, 31, 44, 2000), datetime.time(16, 31, 44, 2000),\n",
+       "       datetime.time(16, 31, 44, 2000), datetime.time(16, 31, 44, 2000),\n",
+       "       datetime.time(16, 31, 44, 2000), datetime.time(16, 31, 44, 2000),\n",
+       "       datetime.time(16, 31, 45, 10000), datetime.time(16, 31, 45, 10000),\n",
+       "       datetime.time(16, 31, 45, 10000), datetime.time(16, 31, 46, 2000),\n",
+       "       datetime.time(16, 31, 46, 2000), datetime.time(16, 31, 48, 2000),\n",
+       "       datetime.time(16, 31, 48, 2000), datetime.time(16, 31, 48, 2000),\n",
+       "       datetime.time(16, 31, 48, 2000), datetime.time(16, 31, 48, 2000),\n",
+       "       datetime.time(16, 31, 48, 2000), datetime.time(16, 31, 48, 2000),\n",
+       "       datetime.time(16, 31, 50, 2000), datetime.time(16, 31, 50, 2000),\n",
+       "       datetime.time(16, 31, 50, 2000), datetime.time(16, 31, 50, 2000),\n",
+       "       datetime.time(16, 31, 52, 2000), datetime.time(16, 31, 52, 2000),\n",
+       "       datetime.time(16, 31, 52, 2000), datetime.time(16, 31, 52, 2000),\n",
+       "       datetime.time(16, 31, 54, 2000), datetime.time(16, 31, 54, 2000),\n",
+       "       datetime.time(16, 31, 54, 2000), datetime.time(16, 31, 54, 2000),\n",
+       "       datetime.time(16, 31, 54, 2000), datetime.time(16, 31, 54, 2000),\n",
+       "       datetime.time(16, 31, 54, 2000), datetime.time(16, 31, 55, 10000),\n",
+       "       datetime.time(16, 31, 55, 10000), datetime.time(16, 31, 55, 10000),\n",
+       "       datetime.time(16, 31, 56, 2000), datetime.time(16, 31, 56, 2000),\n",
+       "       datetime.time(16, 31, 56, 2000)], dtype=object)"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "time_V275 = time_list(V275)\n",
+    "time_V275"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Flujo para 275mV: 3.9863636363636363\n",
+      "Desviación estándar para 275mV: 2.150009609819\n",
+      "Error estándar de la media para 275mV: 0.1452841857272793\n"
+     ]
+    }
+   ],
+   "source": [
+    "events_V275, counts_V275, flux_V275, std_V275, sem_V275 = events_counts(time_V275)\n",
+    "flux[9] = flux_V275\n",
+    "std_flux[9] = std_V275\n",
+    "sem_flux[9] = sem_V275\n",
+    "print(f\"Flujo para 275mV: {flux[9]}\")\n",
+    "print(f\"Desviación estándar para 275mV: {std_flux[9]}\")\n",
+    "print(f\"Error estándar de la media para 275mV: {sem_flux[9]}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Voltaje umbral de 300 mV"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "V300=load_data(\"calibrationData/calibration_300mV.dat\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([datetime.time(16, 32, 54, 2000), datetime.time(16, 32, 54, 2000),\n",
+       "       datetime.time(16, 32, 54, 2000), datetime.time(16, 32, 55, 10000),\n",
+       "       datetime.time(16, 32, 55, 10000), datetime.time(16, 32, 55, 10000),\n",
+       "       datetime.time(16, 32, 55, 10000), datetime.time(16, 32, 56, 2000),\n",
+       "       datetime.time(16, 32, 56, 2000), datetime.time(16, 32, 56, 2000),\n",
+       "       datetime.time(16, 32, 56, 2000), datetime.time(16, 32, 58, 2000),\n",
+       "       datetime.time(16, 32, 58, 2000), datetime.time(16, 33, 1, 10000),\n",
+       "       datetime.time(16, 33, 1, 10000), datetime.time(16, 33, 2, 2000),\n",
+       "       datetime.time(16, 33, 2, 2000), datetime.time(16, 33, 2, 2000),\n",
+       "       datetime.time(16, 33, 2, 2000), datetime.time(16, 33, 2, 2000),\n",
+       "       datetime.time(16, 33, 5, 10000), datetime.time(16, 33, 5, 10000),\n",
+       "       datetime.time(16, 33, 5, 10000), datetime.time(16, 33, 5, 10000),\n",
+       "       datetime.time(16, 33, 6, 2000), datetime.time(16, 33, 6, 2000),\n",
+       "       datetime.time(16, 33, 6, 2000), datetime.time(16, 33, 9, 10000),\n",
+       "       datetime.time(16, 33, 9, 10000), datetime.time(16, 33, 9, 10000),\n",
+       "       datetime.time(16, 33, 9, 10000), datetime.time(16, 33, 9, 10000),\n",
+       "       datetime.time(16, 33, 9, 10000), datetime.time(16, 33, 9, 10000),\n",
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+       "       datetime.time(16, 33, 12, 2000), datetime.time(16, 33, 12, 2000),\n",
+       "       datetime.time(16, 33, 13, 10000), datetime.time(16, 33, 13, 10000),\n",
+       "       datetime.time(16, 33, 13, 10000), datetime.time(16, 33, 13, 10000),\n",
+       "       datetime.time(16, 33, 13, 10000), datetime.time(16, 33, 13, 10000),\n",
+       "       datetime.time(16, 33, 14, 2000), datetime.time(16, 33, 14, 2000),\n",
+       "       datetime.time(16, 33, 15, 10000), datetime.time(16, 33, 15, 10000),\n",
+       "       datetime.time(16, 33, 15, 10000), datetime.time(16, 33, 15, 10000),\n",
+       "       datetime.time(16, 33, 16, 2000), datetime.time(16, 33, 16, 2000),\n",
+       "       datetime.time(16, 33, 17, 10000), datetime.time(16, 33, 17, 10000),\n",
+       "       datetime.time(16, 33, 17, 10000), datetime.time(16, 33, 17, 10000),\n",
+       "       datetime.time(16, 33, 17, 10000), datetime.time(16, 33, 17, 10000),\n",
+       "       datetime.time(16, 33, 19, 10000), datetime.time(16, 33, 19, 10000),\n",
+       "       datetime.time(16, 33, 22, 2000), datetime.time(16, 33, 22, 2000),\n",
+       "       datetime.time(16, 33, 24, 2000), datetime.time(16, 33, 24, 2000),\n",
+       "       datetime.time(16, 33, 24, 2000), datetime.time(16, 33, 24, 2000),\n",
+       "       datetime.time(16, 33, 27, 10000), datetime.time(16, 33, 27, 10000),\n",
+       "       datetime.time(16, 33, 29, 10000), datetime.time(16, 33, 29, 10000),\n",
+       "       datetime.time(16, 33, 29, 10000), datetime.time(16, 33, 29, 10000),\n",
+       "       datetime.time(16, 33, 30, 2000), datetime.time(16, 33, 30, 2000),\n",
+       "       datetime.time(16, 33, 31, 10000), datetime.time(16, 33, 31, 10000),\n",
+       "       datetime.time(16, 33, 32, 2000), datetime.time(16, 33, 32, 2000),\n",
+       "       datetime.time(16, 33, 33, 10000), datetime.time(16, 33, 33, 10000),\n",
+       "       datetime.time(16, 33, 33, 10000), datetime.time(16, 33, 33, 10000),\n",
+       "       datetime.time(16, 33, 35, 10000), datetime.time(16, 33, 35, 10000),\n",
+       "       datetime.time(16, 33, 36, 2000), datetime.time(16, 33, 36, 2000),\n",
+       "       datetime.time(16, 33, 37, 10000), datetime.time(16, 33, 37, 10000),\n",
+       "       datetime.time(16, 33, 38, 2000), datetime.time(16, 33, 38, 2000),\n",
+       "       datetime.time(16, 33, 39, 10000), datetime.time(16, 33, 39, 10000),\n",
+       "       datetime.time(16, 33, 39, 10000), datetime.time(16, 33, 39, 10000),\n",
+       "       datetime.time(16, 33, 39, 10000), datetime.time(16, 33, 39, 10000),\n",
+       "       datetime.time(16, 33, 41, 10000), datetime.time(16, 33, 41, 10000),\n",
+       "       datetime.time(16, 33, 44, 2000), datetime.time(16, 33, 44, 2000),\n",
+       "       datetime.time(16, 33, 45, 10000), datetime.time(16, 33, 45, 10000),\n",
+       "       datetime.time(16, 33, 47, 10000), datetime.time(16, 33, 47, 10000),\n",
+       "       datetime.time(16, 33, 47, 10000), datetime.time(16, 33, 47, 10000),\n",
+       "       datetime.time(16, 33, 48, 2000), datetime.time(16, 33, 48, 2000),\n",
+       "       datetime.time(16, 33, 48, 2000), datetime.time(16, 33, 48, 2000),\n",
+       "       datetime.time(16, 33, 48, 2000), datetime.time(16, 33, 48, 2000),\n",
+       "       datetime.time(16, 33, 49, 10000), datetime.time(16, 33, 49, 10000),\n",
+       "       datetime.time(16, 33, 50, 2000), datetime.time(16, 33, 50, 2000),\n",
+       "       datetime.time(16, 33, 53, 10000), datetime.time(16, 33, 53, 10000),\n",
+       "       datetime.time(16, 33, 54, 2000), datetime.time(16, 33, 54, 2000),\n",
+       "       datetime.time(16, 33, 54, 2000), datetime.time(16, 33, 54, 2000),\n",
+       "       datetime.time(16, 33, 55, 10000), datetime.time(16, 33, 55, 10000),\n",
+       "       datetime.time(16, 33, 58, 2000), datetime.time(16, 33, 58, 2000),\n",
+       "       datetime.time(16, 34, 2, 2000), datetime.time(16, 34, 2, 2000),\n",
+       "       datetime.time(16, 34, 3, 10000), datetime.time(16, 34, 3, 10000),\n",
+       "       datetime.time(16, 34, 4, 2000), datetime.time(16, 34, 4, 2000),\n",
+       "       datetime.time(16, 34, 7, 11000), datetime.time(16, 34, 7, 11000),\n",
+       "       datetime.time(16, 34, 8, 3000), datetime.time(16, 34, 8, 3000),\n",
+       "       datetime.time(16, 34, 10, 3000), datetime.time(16, 34, 10, 3000),\n",
+       "       datetime.time(16, 34, 10, 3000), datetime.time(16, 34, 10, 3000),\n",
+       "       datetime.time(16, 34, 10, 3000), datetime.time(16, 34, 10, 3000),\n",
+       "       datetime.time(16, 34, 10, 3000), datetime.time(16, 34, 10, 3000),\n",
+       "       datetime.time(16, 34, 14, 3000), datetime.time(16, 34, 14, 3000),\n",
+       "       datetime.time(16, 34, 17, 11000), datetime.time(16, 34, 17, 11000),\n",
+       "       datetime.time(16, 34, 19, 11000), datetime.time(16, 34, 19, 11000),\n",
+       "       datetime.time(16, 34, 19, 11000), datetime.time(16, 34, 20, 3000),\n",
+       "       datetime.time(16, 34, 20, 3000), datetime.time(16, 34, 22, 3000),\n",
+       "       datetime.time(16, 34, 22, 3000), datetime.time(16, 34, 22, 3000),\n",
+       "       datetime.time(16, 34, 22, 3000), datetime.time(16, 34, 24, 3000),\n",
+       "       datetime.time(16, 34, 24, 3000), datetime.time(16, 34, 24, 3000),\n",
+       "       datetime.time(16, 34, 24, 3000), datetime.time(16, 34, 25, 11000),\n",
+       "       datetime.time(16, 34, 25, 11000), datetime.time(16, 34, 27, 11000),\n",
+       "       datetime.time(16, 34, 27, 11000), datetime.time(16, 34, 28, 3000),\n",
+       "       datetime.time(16, 34, 28, 3000), datetime.time(16, 34, 29, 11000),\n",
+       "       datetime.time(16, 34, 29, 11000), datetime.time(16, 34, 29, 11000),\n",
+       "       datetime.time(16, 34, 30, 3000), datetime.time(16, 34, 30, 3000),\n",
+       "       datetime.time(16, 34, 30, 3000), datetime.time(16, 34, 30, 3000),\n",
+       "       datetime.time(16, 34, 30, 3000), datetime.time(16, 34, 31, 11000),\n",
+       "       datetime.time(16, 34, 31, 11000), datetime.time(16, 34, 31, 11000),\n",
+       "       datetime.time(16, 34, 31, 11000), datetime.time(16, 34, 31, 11000),\n",
+       "       datetime.time(16, 34, 31, 11000), datetime.time(16, 34, 34, 3000),\n",
+       "       datetime.time(16, 34, 34, 3000), datetime.time(16, 34, 34, 3000),\n",
+       "       datetime.time(16, 34, 34, 3000), datetime.time(16, 34, 34, 3000),\n",
+       "       datetime.time(16, 34, 34, 3000), datetime.time(16, 34, 34, 3000),\n",
+       "       datetime.time(16, 34, 35, 11000), datetime.time(16, 34, 35, 11000),\n",
+       "       datetime.time(16, 34, 37, 11000), datetime.time(16, 34, 37, 11000),\n",
+       "       datetime.time(16, 34, 38, 3000), datetime.time(16, 34, 38, 3000),\n",
+       "       datetime.time(16, 34, 38, 3000), datetime.time(16, 34, 38, 3000),\n",
+       "       datetime.time(16, 34, 39, 11000), datetime.time(16, 34, 39, 11000),\n",
+       "       datetime.time(16, 34, 40, 3000), datetime.time(16, 34, 40, 3000),\n",
+       "       datetime.time(16, 34, 40, 3000), datetime.time(16, 34, 40, 3000),\n",
+       "       datetime.time(16, 34, 42, 3000), datetime.time(16, 34, 42, 3000),\n",
+       "       datetime.time(16, 34, 42, 3000), datetime.time(16, 34, 42, 3000),\n",
+       "       datetime.time(16, 34, 43, 11000), datetime.time(16, 34, 43, 11000),\n",
+       "       datetime.time(16, 34, 43, 11000), datetime.time(16, 34, 43, 11000),\n",
+       "       datetime.time(16, 34, 45, 11000), datetime.time(16, 34, 45, 11000),\n",
+       "       datetime.time(16, 34, 46, 3000), datetime.time(16, 34, 46, 3000),\n",
+       "       datetime.time(16, 34, 46, 3000), datetime.time(16, 34, 46, 3000),\n",
+       "       datetime.time(16, 34, 46, 3000), datetime.time(16, 34, 46, 3000),\n",
+       "       datetime.time(16, 34, 46, 3000), datetime.time(16, 34, 48, 3000),\n",
+       "       datetime.time(16, 34, 48, 3000), datetime.time(16, 34, 48, 3000),\n",
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+       "       datetime.time(16, 35, 12, 3000), datetime.time(16, 35, 12, 3000),\n",
+       "       datetime.time(16, 35, 12, 3000), datetime.time(16, 35, 12, 3000),\n",
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+       "       datetime.time(16, 35, 15, 11000), datetime.time(16, 35, 15, 11000),\n",
+       "       datetime.time(16, 35, 15, 11000), datetime.time(16, 35, 15, 11000),\n",
+       "       datetime.time(16, 35, 15, 11000), datetime.time(16, 35, 15, 11000),\n",
+       "       datetime.time(16, 35, 15, 11000), datetime.time(16, 35, 15, 11000),\n",
+       "       datetime.time(16, 35, 15, 11000), datetime.time(16, 35, 17, 11000),\n",
+       "       datetime.time(16, 35, 17, 11000), datetime.time(16, 35, 17, 11000),\n",
+       "       datetime.time(16, 35, 17, 11000), datetime.time(16, 35, 19, 11000),\n",
+       "       datetime.time(16, 35, 19, 11000), datetime.time(16, 35, 20, 3000),\n",
+       "       datetime.time(16, 35, 20, 3000), datetime.time(16, 35, 22, 3000),\n",
+       "       datetime.time(16, 35, 22, 3000), datetime.time(16, 35, 22, 3000),\n",
+       "       datetime.time(16, 35, 23, 11000), datetime.time(16, 35, 23, 11000),\n",
+       "       datetime.time(16, 35, 23, 11000), datetime.time(16, 35, 23, 11000),\n",
+       "       datetime.time(16, 35, 25, 11000), datetime.time(16, 35, 25, 11000),\n",
+       "       datetime.time(16, 35, 25, 11000), datetime.time(16, 35, 25, 11000),\n",
+       "       datetime.time(16, 35, 27, 11000), datetime.time(16, 35, 27, 11000),\n",
+       "       datetime.time(16, 35, 27, 11000), datetime.time(16, 35, 27, 11000),\n",
+       "       datetime.time(16, 35, 29, 11000), datetime.time(16, 35, 29, 11000),\n",
+       "       datetime.time(16, 35, 29, 11000), datetime.time(16, 35, 29, 11000),\n",
+       "       datetime.time(16, 35, 29, 11000), datetime.time(16, 35, 30, 3000),\n",
+       "       datetime.time(16, 35, 30, 3000), datetime.time(16, 35, 31, 11000),\n",
+       "       datetime.time(16, 35, 31, 11000), datetime.time(16, 35, 31, 11000),\n",
+       "       datetime.time(16, 35, 31, 11000), datetime.time(16, 35, 33, 11000),\n",
+       "       datetime.time(16, 35, 33, 11000), datetime.time(16, 35, 33, 11000),\n",
+       "       datetime.time(16, 35, 34, 3000), datetime.time(16, 35, 34, 3000),\n",
+       "       datetime.time(16, 35, 35, 11000), datetime.time(16, 35, 35, 11000),\n",
+       "       datetime.time(16, 35, 37, 11000), datetime.time(16, 35, 37, 11000),\n",
+       "       datetime.time(16, 35, 38, 3000), datetime.time(16, 35, 38, 3000),\n",
+       "       datetime.time(16, 35, 39, 11000), datetime.time(16, 35, 39, 11000),\n",
+       "       datetime.time(16, 35, 39, 11000), datetime.time(16, 35, 39, 11000),\n",
+       "       datetime.time(16, 35, 39, 11000), datetime.time(16, 35, 39, 11000),\n",
+       "       datetime.time(16, 35, 39, 11000), datetime.time(16, 35, 39, 11000),\n",
+       "       datetime.time(16, 35, 39, 11000), datetime.time(16, 35, 40, 3000),\n",
+       "       datetime.time(16, 35, 40, 3000), datetime.time(16, 35, 41, 11000),\n",
+       "       datetime.time(16, 35, 41, 11000), datetime.time(16, 35, 41, 11000),\n",
+       "       datetime.time(16, 35, 41, 11000), datetime.time(16, 35, 41, 11000),\n",
+       "       datetime.time(16, 35, 41, 11000), datetime.time(16, 35, 41, 11000),\n",
+       "       datetime.time(16, 35, 41, 11000), datetime.time(16, 35, 42, 3000),\n",
+       "       datetime.time(16, 35, 42, 3000), datetime.time(16, 35, 42, 3000),\n",
+       "       datetime.time(16, 35, 43, 11000), datetime.time(16, 35, 43, 11000),\n",
+       "       datetime.time(16, 35, 43, 11000), datetime.time(16, 35, 44, 3000),\n",
+       "       datetime.time(16, 35, 44, 3000), datetime.time(16, 35, 44, 3000),\n",
+       "       datetime.time(16, 35, 44, 3000), datetime.time(16, 35, 46, 3000),\n",
+       "       datetime.time(16, 35, 46, 3000), datetime.time(16, 35, 49, 11000),\n",
+       "       datetime.time(16, 35, 49, 11000), datetime.time(16, 35, 50, 3000),\n",
+       "       datetime.time(16, 35, 50, 3000), datetime.time(16, 35, 50, 3000),\n",
+       "       datetime.time(16, 35, 50, 3000), datetime.time(16, 35, 53, 11000),\n",
+       "       datetime.time(16, 35, 53, 11000), datetime.time(16, 35, 53, 11000),\n",
+       "       datetime.time(16, 35, 53, 11000), datetime.time(16, 35, 53, 11000),\n",
+       "       datetime.time(16, 35, 54, 3000), datetime.time(16, 35, 54, 3000),\n",
+       "       datetime.time(16, 35, 54, 3000), datetime.time(16, 35, 54, 3000),\n",
+       "       datetime.time(16, 35, 54, 3000), datetime.time(16, 35, 55, 11000),\n",
+       "       datetime.time(16, 35, 55, 11000), datetime.time(16, 35, 57, 11000),\n",
+       "       datetime.time(16, 35, 57, 11000), datetime.time(16, 36, 2, 3000),\n",
+       "       datetime.time(16, 36, 2, 3000), datetime.time(16, 36, 2, 3000),\n",
+       "       datetime.time(16, 36, 2, 3000), datetime.time(16, 36, 4, 3000),\n",
+       "       datetime.time(16, 36, 4, 3000), datetime.time(16, 36, 6, 3000),\n",
+       "       datetime.time(16, 36, 6, 3000), datetime.time(16, 36, 7, 11000),\n",
+       "       datetime.time(16, 36, 7, 11000), datetime.time(16, 36, 7, 11000),\n",
+       "       datetime.time(16, 36, 7, 11000), datetime.time(16, 36, 8, 3000),\n",
+       "       datetime.time(16, 36, 8, 3000), datetime.time(16, 36, 9, 11000),\n",
+       "       datetime.time(16, 36, 9, 11000), datetime.time(16, 36, 9, 11000),\n",
+       "       datetime.time(16, 36, 9, 11000), datetime.time(16, 36, 11, 11000),\n",
+       "       datetime.time(16, 36, 11, 11000), datetime.time(16, 36, 13, 11000),\n",
+       "       datetime.time(16, 36, 13, 11000), datetime.time(16, 36, 15, 11000),\n",
+       "       datetime.time(16, 36, 15, 11000), datetime.time(16, 36, 15, 11000),\n",
+       "       datetime.time(16, 36, 15, 11000), datetime.time(16, 36, 15, 11000),\n",
+       "       datetime.time(16, 36, 15, 11000), datetime.time(16, 36, 15, 11000),\n",
+       "       datetime.time(16, 36, 16, 3000), datetime.time(16, 36, 16, 3000),\n",
+       "       datetime.time(16, 36, 16, 3000), datetime.time(16, 36, 18, 3000),\n",
+       "       datetime.time(16, 36, 18, 3000), datetime.time(16, 36, 18, 3000),\n",
+       "       datetime.time(16, 36, 18, 3000), datetime.time(16, 36, 18, 3000),\n",
+       "       datetime.time(16, 36, 19, 11000), datetime.time(16, 36, 19, 11000),\n",
+       "       datetime.time(16, 36, 20, 3000), datetime.time(16, 36, 20, 3000),\n",
+       "       datetime.time(16, 36, 20, 3000), datetime.time(16, 36, 20, 3000),\n",
+       "       datetime.time(16, 36, 20, 3000), datetime.time(16, 36, 20, 3000),\n",
+       "       datetime.time(16, 36, 20, 3000), datetime.time(16, 36, 20, 3000),\n",
+       "       datetime.time(16, 36, 21, 11000), datetime.time(16, 36, 21, 11000),\n",
+       "       datetime.time(16, 36, 22, 3000), datetime.time(16, 36, 22, 3000),\n",
+       "       datetime.time(16, 36, 22, 3000), datetime.time(16, 36, 22, 3000),\n",
+       "       datetime.time(16, 36, 23, 11000), datetime.time(16, 36, 23, 11000),\n",
+       "       datetime.time(16, 36, 23, 11000), datetime.time(16, 36, 23, 11000),\n",
+       "       datetime.time(16, 36, 23, 11000), datetime.time(16, 36, 26, 3000),\n",
+       "       datetime.time(16, 36, 26, 3000), datetime.time(16, 36, 28, 3000),\n",
+       "       datetime.time(16, 36, 28, 3000), datetime.time(16, 36, 28, 3000),\n",
+       "       datetime.time(16, 36, 28, 3000), datetime.time(16, 36, 28, 3000),\n",
+       "       datetime.time(16, 36, 29, 11000), datetime.time(16, 36, 29, 11000),\n",
+       "       datetime.time(16, 36, 29, 11000), datetime.time(16, 36, 29, 11000),\n",
+       "       datetime.time(16, 36, 31, 11000), datetime.time(16, 36, 31, 11000),\n",
+       "       datetime.time(16, 36, 31, 11000), datetime.time(16, 36, 31, 11000),\n",
+       "       datetime.time(16, 36, 31, 11000), datetime.time(16, 36, 31, 11000),\n",
+       "       datetime.time(16, 36, 31, 11000), datetime.time(16, 36, 31, 11000),\n",
+       "       datetime.time(16, 36, 31, 11000), datetime.time(16, 36, 31, 11000),\n",
+       "       datetime.time(16, 36, 33, 11000), datetime.time(16, 36, 33, 11000),\n",
+       "       datetime.time(16, 36, 35, 11000), datetime.time(16, 36, 35, 11000),\n",
+       "       datetime.time(16, 36, 35, 11000), datetime.time(16, 36, 36, 3000),\n",
+       "       datetime.time(16, 36, 36, 3000), datetime.time(16, 36, 37, 11000),\n",
+       "       datetime.time(16, 36, 37, 11000), datetime.time(16, 36, 37, 11000),\n",
+       "       datetime.time(16, 36, 37, 11000), datetime.time(16, 36, 41, 12000),\n",
+       "       datetime.time(16, 36, 41, 12000), datetime.time(16, 36, 42, 4000),\n",
+       "       datetime.time(16, 36, 42, 4000), datetime.time(16, 36, 42, 4000),\n",
+       "       datetime.time(16, 36, 42, 4000), datetime.time(16, 36, 43, 12000),\n",
+       "       datetime.time(16, 36, 43, 12000), datetime.time(16, 36, 44, 4000),\n",
+       "       datetime.time(16, 36, 44, 4000), datetime.time(16, 36, 45, 12000),\n",
+       "       datetime.time(16, 36, 45, 12000), datetime.time(16, 36, 45, 12000),\n",
+       "       datetime.time(16, 36, 45, 12000), datetime.time(16, 36, 46, 4000),\n",
+       "       datetime.time(16, 36, 46, 4000), datetime.time(16, 36, 46, 4000),\n",
+       "       datetime.time(16, 36, 46, 4000), datetime.time(16, 36, 46, 4000),\n",
+       "       datetime.time(16, 36, 47, 12000), datetime.time(16, 36, 47, 12000),\n",
+       "       datetime.time(16, 36, 52, 4000), datetime.time(16, 36, 52, 4000),\n",
+       "       datetime.time(16, 36, 54, 4000), datetime.time(16, 36, 54, 4000),\n",
+       "       datetime.time(16, 36, 54, 4000), datetime.time(16, 36, 54, 4000),\n",
+       "       datetime.time(16, 36, 58, 4000), datetime.time(16, 36, 58, 4000),\n",
+       "       datetime.time(16, 36, 59, 12000), datetime.time(16, 36, 59, 12000),\n",
+       "       datetime.time(16, 37, 0, 4000), datetime.time(16, 37, 0, 4000),\n",
+       "       datetime.time(16, 37, 2, 4000), datetime.time(16, 37, 2, 4000),\n",
+       "       datetime.time(16, 37, 4, 4000), datetime.time(16, 37, 4, 4000),\n",
+       "       datetime.time(16, 37, 4, 4000), datetime.time(16, 37, 4, 4000),\n",
+       "       datetime.time(16, 37, 4, 4000), datetime.time(16, 37, 4, 4000),\n",
+       "       datetime.time(16, 37, 4, 4000), datetime.time(16, 37, 4, 4000),\n",
+       "       datetime.time(16, 37, 4, 4000), datetime.time(16, 37, 6, 4000),\n",
+       "       datetime.time(16, 37, 6, 4000), datetime.time(16, 37, 6, 4000),\n",
+       "       datetime.time(16, 37, 6, 4000), datetime.time(16, 37, 6, 4000),\n",
+       "       datetime.time(16, 37, 7, 12000), datetime.time(16, 37, 7, 12000),\n",
+       "       datetime.time(16, 37, 9, 12000), datetime.time(16, 37, 9, 12000),\n",
+       "       datetime.time(16, 37, 10, 4000), datetime.time(16, 37, 10, 4000),\n",
+       "       datetime.time(16, 37, 11, 12000), datetime.time(16, 37, 11, 12000),\n",
+       "       datetime.time(16, 37, 11, 12000), datetime.time(16, 37, 14, 4000),\n",
+       "       datetime.time(16, 37, 14, 4000), datetime.time(16, 37, 14, 4000),\n",
+       "       datetime.time(16, 37, 15, 12000), datetime.time(16, 37, 15, 12000),\n",
+       "       datetime.time(16, 37, 15, 12000), datetime.time(16, 37, 15, 12000),\n",
+       "       datetime.time(16, 37, 16, 4000), datetime.time(16, 37, 16, 4000),\n",
+       "       datetime.time(16, 37, 16, 4000), datetime.time(16, 37, 16, 4000),\n",
+       "       datetime.time(16, 37, 16, 4000), datetime.time(16, 37, 16, 4000),\n",
+       "       datetime.time(16, 37, 16, 4000), datetime.time(16, 37, 17, 12000),\n",
+       "       datetime.time(16, 37, 17, 12000), datetime.time(16, 37, 17, 12000),\n",
+       "       datetime.time(16, 37, 19, 12000), datetime.time(16, 37, 19, 12000),\n",
+       "       datetime.time(16, 37, 22, 4000), datetime.time(16, 37, 22, 4000),\n",
+       "       datetime.time(16, 37, 22, 4000), datetime.time(16, 37, 22, 4000),\n",
+       "       datetime.time(16, 37, 24, 4000), datetime.time(16, 37, 24, 4000),\n",
+       "       datetime.time(16, 37, 24, 4000), datetime.time(16, 37, 24, 4000),\n",
+       "       datetime.time(16, 37, 24, 4000), datetime.time(16, 37, 26, 4000),\n",
+       "       datetime.time(16, 37, 26, 4000), datetime.time(16, 37, 27, 12000),\n",
+       "       datetime.time(16, 37, 27, 12000), datetime.time(16, 37, 27, 12000),\n",
+       "       datetime.time(16, 37, 27, 12000), datetime.time(16, 37, 28, 4000),\n",
+       "       datetime.time(16, 37, 28, 4000), datetime.time(16, 37, 30, 4000),\n",
+       "       datetime.time(16, 37, 30, 4000), datetime.time(16, 37, 31, 12000),\n",
+       "       datetime.time(16, 37, 31, 12000), datetime.time(16, 37, 32, 4000),\n",
+       "       datetime.time(16, 37, 32, 4000), datetime.time(16, 37, 32, 4000),\n",
+       "       datetime.time(16, 37, 39, 12000), datetime.time(16, 37, 39, 12000),\n",
+       "       datetime.time(16, 37, 42, 4000), datetime.time(16, 37, 42, 4000),\n",
+       "       datetime.time(16, 37, 43, 12000), datetime.time(16, 37, 43, 12000),\n",
+       "       datetime.time(16, 37, 43, 12000), datetime.time(16, 37, 43, 12000),\n",
+       "       datetime.time(16, 37, 44, 4000), datetime.time(16, 37, 44, 4000),\n",
+       "       datetime.time(16, 37, 44, 4000), datetime.time(16, 37, 44, 4000),\n",
+       "       datetime.time(16, 37, 44, 4000), datetime.time(16, 37, 44, 4000),\n",
+       "       datetime.time(16, 37, 48, 4000), datetime.time(16, 37, 48, 4000),\n",
+       "       datetime.time(16, 37, 48, 4000), datetime.time(16, 37, 48, 4000),\n",
+       "       datetime.time(16, 37, 49, 12000), datetime.time(16, 37, 49, 12000),\n",
+       "       datetime.time(16, 37, 52, 4000), datetime.time(16, 37, 52, 4000),\n",
+       "       datetime.time(16, 37, 53, 12000), datetime.time(16, 37, 53, 12000),\n",
+       "       datetime.time(16, 37, 55, 12000), datetime.time(16, 37, 55, 12000),\n",
+       "       datetime.time(16, 37, 55, 12000), datetime.time(16, 37, 55, 12000),\n",
+       "       datetime.time(16, 37, 57, 12000), datetime.time(16, 37, 57, 12000),\n",
+       "       datetime.time(16, 37, 57, 12000), datetime.time(16, 37, 59, 12000),\n",
+       "       datetime.time(16, 37, 59, 12000)], dtype=object)"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "time_V300 = time_list(V300)\n",
+    "time_V300"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Flujo para 300mV: 3.2905027932960893\n",
+      "Desviación estándar para 300mV: 1.7670065188622524\n",
+      "Error estándar de la media para 300mV: 0.13244273805495216\n"
+     ]
+    }
+   ],
+   "source": [
+    "events_V300, counts_V300, flux_V300, std_V300, sem_V300 = events_counts(time_V300)\n",
+    "flux[10] = flux_V300\n",
+    "std_flux[10] = std_V300\n",
+    "sem_flux[10] = sem_V300\n",
+    "print(f\"Flujo para 300mV: {flux[10]}\")\n",
+    "print(f\"Desviación estándar para 300mV: {std_flux[10]}\")\n",
+    "print(f\"Error estándar de la media para 300mV: {sem_flux[10]}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Resultados de los datos de calibración**  \n",
+    "Finalmente, se muestra la información de flujo y errores obtenidos en un dataframe."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "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>Flujo</th>\n",
+       "      <th>Desviación estándar</th>\n",
+       "      <th>Error estándar de la media</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>70.976048</td>\n",
+       "      <td>16.963134</td>\n",
+       "      <td>0.929574</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>38.099338</td>\n",
+       "      <td>11.900668</td>\n",
+       "      <td>0.685943</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>21.708333</td>\n",
+       "      <td>8.831844</td>\n",
+       "      <td>0.500808</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>14.513308</td>\n",
+       "      <td>6.481827</td>\n",
+       "      <td>0.400449</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>14.338403</td>\n",
+       "      <td>6.730240</td>\n",
+       "      <td>0.415796</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>7.003704</td>\n",
+       "      <td>3.902039</td>\n",
+       "      <td>0.237912</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>5.467153</td>\n",
+       "      <td>3.081736</td>\n",
+       "      <td>0.186515</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>4.888889</td>\n",
+       "      <td>2.723375</td>\n",
+       "      <td>0.168897</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>4.385650</td>\n",
+       "      <td>2.654072</td>\n",
+       "      <td>0.178130</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>3.986364</td>\n",
+       "      <td>2.150010</td>\n",
+       "      <td>0.145284</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>3.290503</td>\n",
+       "      <td>1.767007</td>\n",
+       "      <td>0.132443</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        Flujo  Desviación estándar  Error estándar de la media\n",
+       "0   70.976048            16.963134                    0.929574\n",
+       "1   38.099338            11.900668                    0.685943\n",
+       "2   21.708333             8.831844                    0.500808\n",
+       "3   14.513308             6.481827                    0.400449\n",
+       "4   14.338403             6.730240                    0.415796\n",
+       "5    7.003704             3.902039                    0.237912\n",
+       "6    5.467153             3.081736                    0.186515\n",
+       "7    4.888889             2.723375                    0.168897\n",
+       "8    4.385650             2.654072                    0.178130\n",
+       "9    3.986364             2.150010                    0.145284\n",
+       "10   3.290503             1.767007                    0.132443"
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "flux_calibration = pd.DataFrame.from_dict({'Flujo': flux, \n",
+    "                                 'Desviación estándar': std_flux, \n",
+    "                                 'Error estándar de la media': sem_flux})\n",
+    "flux_calibration"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Análisis para hallar el umbral óptimo**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Con la información de los eventos, ya es posible continuar al paso 3 y 4.  \n",
+    "Sin embargo, antes de graficar, se necesitan las coordenadas en el eje x para el plot, es decir, los datos del voltaje. Considerando los umbrales de discriminación usados para estudiar la calibración: de 50mV a 325 mV, con 25mV de paso, se genera un array con estos valores.  \n",
+    "También se creará un array con un intervalo algo más amplio para generar puntos con los cuales se hará el fit de la gráfica."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Array de umbral de discriminación\n",
+    "voltage = np.arange(50,325,25)\n",
+    "# Array para el fit\n",
+    "voltage_range = np.arange(40,325)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Graficar voltaje vs flujo\n",
+    "plot_voltage_flux(voltage, flux)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "¿Existe en los datos un flujo coincidente con el flujo estimado? Se puede hallar el valor más cercano mediante el siguiente código:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "El flujo de muones estimado es: 43 muones.\n",
+      "El flujo de muones más cercano de la data obtenida, es 38.09933774834437 muones\n",
+      "Existe una diferencia absoluta de 4.900662251655632 muones entre estos valores\n"
+     ]
+    }
+   ],
+   "source": [
+    "def absolute_diff(array):\n",
+    "    diff = abs(array - estimation)\n",
+    "    return diff\n",
+    "\n",
+    "nearest_value = min(flux, key=absolute_diff)\n",
+    "print(f\"El flujo de muones estimado es: {estimation} muones.\")\n",
+    "print(f\"El flujo de muones más cercano de la data obtenida, es {nearest_value} muones\")\n",
+    "print(f\"Existe una diferencia absoluta de {abs(estimation - nearest_value)} muones entre estos valores\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note que esta diferencia es bastante sustancial con el valor estimado, y en cambio, se quiere buscar un valor lo suficientemente cercano para evitar errores por una calibración incorrecta.  \n",
+    "En vista de que no hay datos de flujo coincidentes con el flujo estimado, se puede hacer un fit exponencial para determinarlo teóricamente."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Considerando que la función general es:  \n",
+    "  \n",
+    "$$ y = ae^{bx} + c$$  \n",
+    "\n",
+    "y sus parámetros son las constantes: *a*, *b*, *c*, utilizamos scipy.optimize.curve_fit para hallar los parámetros correspondientes a una función exponencial ajustada a la data de calibración."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Params: [ 2.33064285e+02 -2.52548499e-02  4.36017197e+00]\n",
+      "Params covariance:\n",
+      "[[ 4.69894335e+02 -3.49593043e-02  9.15152071e+00]\n",
+      " [-3.49593043e-02  2.87663756e-06 -9.56424327e-04]\n",
+      " [ 9.15152071e+00 -9.56424327e-04  7.74868136e-01]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Encontrando los parámetros con scipy\n",
+    "params, params_covariance = scipy.optimize.curve_fit(fit_exp,  voltage,  flux,  p0=(1, -1e-10, 2))\n",
+    "# Mostrar los resultados obtenidos\n",
+    "print(f\"Params: {params}\")\n",
+    "print(f\"Params covariance:\\n{params_covariance}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Es decir, los valores correspondientes a los parámetros de la función:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "a = 233.06428462497516\n",
+      "b = -0.025254849938176983\n",
+      "c = 4.360171968636061\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f\"a = {params[0]}\")\n",
+    "print(f\"b = {params[1]}\")\n",
+    "print(f\"c = {params[2]}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "y sus errores son:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "σa = 21.67704627542671\n",
+      "σb = 0.0016960653177205754\n",
+      "σc = 0.8802659461588092\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Desviación estándar de los parámetros\n",
+    "params_err = np.sqrt(np.diag(params_covariance))\n",
+    "print(f\"\\u03c3a = {params_err[0]}\")\n",
+    "print(f\"\\u03c3b = {params_err[1]}\")\n",
+    "print(f\"\\u03c3c = {params_err[2]}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Ahora, se puede graficar para comprobar el ajuste de la función obtenida y además, se le agregarán los errores de la data considerando la desviación estándar."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7f5e8e40b898>"
+      ]
+     },
+     "execution_count": 70,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Graficar voltaje vs flujo\n",
+    "plot_voltage_flux(voltage, flux)\n",
+    "# Se incluye el gráfico del fit\n",
+    "plt.plot(voltage_range, fit_exp(voltage_range, params[0], params[1], params[2]), c=\"r\", label=\"Exponential fit\")\n",
+    "# Agregar los errores \n",
+    "plt.errorbar(voltage, flux, yerr=std_flux, ecolor=\"b\", linestyle=\"None\", label=\"Standard deviation\")\n",
+    "plt.legend(fontsize=15)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "Considerando los parámetros encontrados, se tiene una función:  \n",
+    "  \n",
+    "$$ \\mathrm{Flujo} = (233.06e^{0.0017*\\mathrm{Voltaje}} + 0.880)\\mathrm{~muones/s}$$  \n",
+    "  \n",
+    "de la que se puede hallar el voltaje de calibración con la siguiente ecuación:  \n",
+    "  \n",
+    "$$ \\mathrm{Umbral~óptimo} = \\frac{\\ln({\\frac{\\mathrm{Flujo~estimado} - 0.880}{233.06}})}{0.0017}\\mathrm{~mV}$$ "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Calibration voltage: 71.15586751808483 mV\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Cálculo del voltaje de calibración\n",
+    "calibration = np.log((estimation-params[2])/(params[0]))/params[1]\n",
+    "print(f\"Calibration voltage: {calibration} mV\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Error del voltaje de calibración\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7f5e8e2cafd0>"
+      ]
+     },
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Gráfica final señalando el umbral óptimo\n",
+    "plot_voltage_flux(voltage, flux)\n",
+    "plt.plot(voltage_range, fit_exp(voltage_range, params[0], params[1], params[2]), c=\"r\", label=\"Exponential Fit\")\n",
+    "plt.errorbar(voltage, flux, yerr=std_flux, ecolor=\"b\", linestyle=\"None\", label=\"Standard deviation\")\n",
+    "plt.plot(71, 43, \"o\", c=\"limegreen\", markersize = 8, label= \"Calibration Voltage\")\n",
+    "plt.annotate(\"71 mV\", (53, 42), fontsize=15, bbox=dict(boxstyle=\"round\", fc='w', ec='0.8'))\n",
+    "plt.legend(fontsize=15)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 3. Análisis de lluvias aéreas extensas"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Al calibrar el detector con el umbral óptimo, es posible detectar las lluvias aéreas extensas, cuyos datos también deben ser procesados y analizados.  \n",
+    "El trabajo comienza leyendo los datos de los archivos correspondientes, guardándolos en una variable y generando un dataframe. Note que el mismo código será ejecutado para cada lote de datos.  \n",
+    "Para instrucciones sobre la toma de datos, consulte **Anexos**. \n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Primer lote de datos**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "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>Word 1</th>\n",
+       "      <th>Word 2</th>\n",
+       "      <th>Word 3</th>\n",
+       "      <th>Word 4</th>\n",
+       "      <th>Word 5</th>\n",
+       "      <th>Word 6</th>\n",
+       "      <th>Word 7</th>\n",
+       "      <th>Word 8</th>\n",
+       "      <th>Word 9</th>\n",
+       "      <th>Word 10</th>\n",
+       "      <th>Word 11</th>\n",
+       "      <th>Word 12</th>\n",
+       "      <th>Word 13</th>\n",
+       "      <th>Word 14</th>\n",
+       "      <th>Word 15</th>\n",
+       "      <th>Word 16</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2041B05A</td>\n",
+       "      <td>80</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>2A</td>\n",
+       "      <td>00</td>\n",
+       "      <td>2E</td>\n",
+       "      <td>00</td>\n",
+       "      <td>2022BD66</td>\n",
+       "      <td>231158.000</td>\n",
+       "      <td>090421</td>\n",
+       "      <td>A</td>\n",
+       "      <td>11</td>\n",
+       "      <td>0</td>\n",
+       "      <td>+0074</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2041B061</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>26</td>\n",
+       "      <td>2022BD66</td>\n",
+       "      <td>231158.000</td>\n",
+       "      <td>090421</td>\n",
+       "      <td>A</td>\n",
+       "      <td>11</td>\n",
+       "      <td>0</td>\n",
+       "      <td>+0074</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2041B065</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>30</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>2022BD66</td>\n",
+       "      <td>231158.000</td>\n",
+       "      <td>090421</td>\n",
+       "      <td>A</td>\n",
+       "      <td>11</td>\n",
+       "      <td>0</td>\n",
+       "      <td>+0074</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2E51E182</td>\n",
+       "      <td>80</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>36</td>\n",
+       "      <td>00</td>\n",
+       "      <td>31</td>\n",
+       "      <td>00</td>\n",
+       "      <td>2D8BF7A6</td>\n",
+       "      <td>231207.008</td>\n",
+       "      <td>090421</td>\n",
+       "      <td>A</td>\n",
+       "      <td>10</td>\n",
+       "      <td>0</td>\n",
+       "      <td>+0066</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2E51E185</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>34</td>\n",
+       "      <td>31</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>2D8BF7A6</td>\n",
+       "      <td>231207.008</td>\n",
+       "      <td>090421</td>\n",
+       "      <td>A</td>\n",
+       "      <td>10</td>\n",
+       "      <td>0</td>\n",
+       "      <td>+0066</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2199</th>\n",
+       "      <td>F3559FF6</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>3D</td>\n",
+       "      <td>3A</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>F247F3A6</td>\n",
+       "      <td>001135.015</td>\n",
+       "      <td>100421</td>\n",
+       "      <td>A</td>\n",
+       "      <td>08</td>\n",
+       "      <td>0</td>\n",
+       "      <td>+0058</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2200</th>\n",
+       "      <td>F3559FF7</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>20</td>\n",
+       "      <td>24</td>\n",
+       "      <td>21</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>F247F3A6</td>\n",
+       "      <td>001135.015</td>\n",
+       "      <td>100421</td>\n",
+       "      <td>A</td>\n",
+       "      <td>08</td>\n",
+       "      <td>0</td>\n",
+       "      <td>+0058</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2201</th>\n",
+       "      <td>F3559FF7</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>2C</td>\n",
+       "      <td>29</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>F247F3A6</td>\n",
+       "      <td>001135.015</td>\n",
+       "      <td>100421</td>\n",
+       "      <td>A</td>\n",
+       "      <td>08</td>\n",
+       "      <td>0</td>\n",
+       "      <td>+0058</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2202</th>\n",
+       "      <td>F3559FF7</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>34</td>\n",
+       "      <td>31</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>F247F3A6</td>\n",
+       "      <td>001135.015</td>\n",
+       "      <td>100421</td>\n",
+       "      <td>A</td>\n",
+       "      <td>08</td>\n",
+       "      <td>0</td>\n",
+       "      <td>+0058</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2203</th>\n",
+       "      <td>F3559FF7</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>38</td>\n",
+       "      <td>00</td>\n",
+       "      <td>00</td>\n",
+       "      <td>F247F3A6</td>\n",
+       "      <td>001135.015</td>\n",
+       "      <td>100421</td>\n",
+       "      <td>A</td>\n",
+       "      <td>08</td>\n",
+       "      <td>0</td>\n",
+       "      <td>+0058</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2192 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        Word 1 Word 2 Word 3 Word 4 Word 5 Word 6 Word 7 Word 8 Word 9  \\\n",
+       "0     2041B05A     80     00     00     00     2A     00     2E     00   \n",
+       "1     2041B061     00     00     00     00     00     00     00     26   \n",
+       "2     2041B065     00     00     00     00     00     30     00     00   \n",
+       "3     2E51E182     80     00     00     00     36     00     31     00   \n",
+       "4     2E51E185     00     00     00     00     34     31     00     00   \n",
+       "...        ...    ...    ...    ...    ...    ...    ...    ...    ...   \n",
+       "2199  F3559FF6     00     00     3D     3A     00     00     00     00   \n",
+       "2200  F3559FF7     00     00     00     20     24     21     00     00   \n",
+       "2201  F3559FF7     00     00     00     00     2C     29     00     00   \n",
+       "2202  F3559FF7     00     00     00     00     34     31     00     00   \n",
+       "2203  F3559FF7     00     00     00     00     00     38     00     00   \n",
+       "\n",
+       "       Word 10     Word 11 Word 12 Word 13 Word 14 Word 15 Word 16  \n",
+       "0     2022BD66  231158.000  090421       A      11       0   +0074  \n",
+       "1     2022BD66  231158.000  090421       A      11       0   +0074  \n",
+       "2     2022BD66  231158.000  090421       A      11       0   +0074  \n",
+       "3     2D8BF7A6  231207.008  090421       A      10       0   +0066  \n",
+       "4     2D8BF7A6  231207.008  090421       A      10       0   +0066  \n",
+       "...        ...         ...     ...     ...     ...     ...     ...  \n",
+       "2199  F247F3A6  001135.015  100421       A      08       0   +0058  \n",
+       "2200  F247F3A6  001135.015  100421       A      08       0   +0058  \n",
+       "2201  F247F3A6  001135.015  100421       A      08       0   +0058  \n",
+       "2202  F247F3A6  001135.015  100421       A      08       0   +0058  \n",
+       "2203  F247F3A6  001135.015  100421       A      08       0   +0058  \n",
+       "\n",
+       "[2192 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 74,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Lectura de datos\n",
+    "data_1 = load_data(\"Data/EAS_data_1.dat\")\n",
+    "# Creación de dataframe\n",
+    "dataset_1 = create_df(data_1) \n",
+    "dataset_1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Número de datos obtenidos en el primer lote de datos: 2192\n"
+     ]
+    }
+   ],
+   "source": [
+    "n_data_1 = len(dataset_1)\n",
+    "print(f\"Número de datos obtenidos en el primer lote de datos: {n_data_1}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Segundo lote de datos**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_2 = load_data(\"Data/EAS_data_2.dat\")\n",
+    "dataset_2 = create_df(data_2) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Número de datos obtenidos en el segundo lote de datos: 3211\n"
+     ]
+    }
+   ],
+   "source": [
+    "n_data_2 = len(dataset_2)\n",
+    "print(f\"Número de datos obtenidos en el segundo lote de datos: {n_data_2}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Tercer lote de datos**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_3 = load_data(\"Data/EAS_data_3.dat\")\n",
+    "dataset_3 = create_df(data_3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Número de datos obtenidos en el tercer lote de datos: 2333\n"
+     ]
+    }
+   ],
+   "source": [
+    "n_data_3 = len(dataset_3)\n",
+    "print(f\"Número de datos obtenidos en el tercer lote de datos: {n_data_3}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Luego de realizar la calibracion del detector, se puede se procedió a recopilar 3 horas y media de datos para analizar las lluvias aéreas extensas. Debido a que este experimento consta de un arreglo de 3 detectores, se considera que hubo un evento de lluvia aerea extensa cuando se activaron los triggers de un par de detectores con una separacion temporal de 1200 ns. Con dichos datos planteamos un analisis para estimar el flujo de eventos de lluvias aereas extensas y la direccion de la lluvia. Se tomaron 3 lotes separados de dato.  El siguiente código muestra los resultados de realizar este análisis. Para instrucciones sobre la toma de datos, consulte Anexos. \n",
+    "\n",
+    "A cada lote de datos se le contruyó un dataframe:"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 3.1 Flujo de lluvias aéreas extensas"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Para estudiar el flujo de lluvias aéreas extensas, se deben considerar los tiempos de cada línea de datos. De cada dataframe se extraerá el primer dato de las filas (Word 1) como un identificador de las líneas, para estar seguros de que se conserva su integridad. Pero la información a evaluar es el momento de detección, dado por el tiempo (Word 11) y la fecha (Word 12) en la cual se hizo el registro. Esta información fue almacenada en una sola columna llamada *Datetime*. La precisión del tiempo viene dada en milisegundos y el formato es: $\\mathrm{ddmmaa~hhmmss.ms} $.  \n",
+    "Tomando en cuenta que:  \n",
+    "  \n",
+    "$$ \\mathrm{Flujo} = \\frac{\\mathrm{Número~de~muones}}{\\mathrm{segundo}} \\Longrightarrow \\mathrm{~Necesitamos~hallar~un~promedio}$$  \n",
+    "  \n",
+    "$$\\mathrm{Flujo} = \\frac{\\mathrm{Suma~de~datos~que~ocurren~en~un~mismo~instante}}{\\mathrm{total~de~eventos}}$$"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": true
+   },
+   "source": [
+    "### 3.1.1 Análisis para el primer lote de datos "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "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>Word 1</th>\n",
+       "      <th>Datetime</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2041B05A</td>\n",
+       "      <td>090421 231158.000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2041B061</td>\n",
+       "      <td>090421 231158.000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2041B065</td>\n",
+       "      <td>090421 231158.000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2E51E182</td>\n",
+       "      <td>090421 231207.008</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2E51E185</td>\n",
+       "      <td>090421 231207.008</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2199</th>\n",
+       "      <td>F3559FF6</td>\n",
+       "      <td>100421 001135.015</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2200</th>\n",
+       "      <td>F3559FF7</td>\n",
+       "      <td>100421 001135.015</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2201</th>\n",
+       "      <td>F3559FF7</td>\n",
+       "      <td>100421 001135.015</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2202</th>\n",
+       "      <td>F3559FF7</td>\n",
+       "      <td>100421 001135.015</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2203</th>\n",
+       "      <td>F3559FF7</td>\n",
+       "      <td>100421 001135.015</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2192 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        Word 1           Datetime\n",
+       "0     2041B05A  090421 231158.000\n",
+       "1     2041B061  090421 231158.000\n",
+       "2     2041B065  090421 231158.000\n",
+       "3     2E51E182  090421 231207.008\n",
+       "4     2E51E185  090421 231207.008\n",
+       "...        ...                ...\n",
+       "2199  F3559FF6  100421 001135.015\n",
+       "2200  F3559FF7  100421 001135.015\n",
+       "2201  F3559FF7  100421 001135.015\n",
+       "2202  F3559FF7  100421 001135.015\n",
+       "2203  F3559FF7  100421 001135.015\n",
+       "\n",
+       "[2192 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 80,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "datetime_1, time_1 = date_time(dataset_1)\n",
+    "datetime_1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note que varias líneas de datos coinciden en su valor de *Datetime*, esto implica que pertencen a un solo evento. Por ello, para identificar los eventos, se deben encontrar los tiempos repetidos."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "events_1, counts_1, mean_1, std_1, sem_1 = events_counts(time_1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Con la información encontrada, se procede a graficar los eventos respecto al tiempo."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_date(events_1, counts_1, mean_1, std_1, sem_1, \"Air shower events taken on 09/04/21 and 10/04/21 (Dataset 1)\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Lluvias detectadas**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Número de eventos de EAS obtenidos para el primer lote de datos: 389\n",
+      "Tasa de lluvias para el primer lote de datos: \n",
+      "Lluvias por hora: 389 eventos/h \n",
+      "Lluvias por minuto: 6.483333333333333 eventos/min \n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "n_events_1 = len(events_1)\n",
+    "min_events_1 = n_events_1/60\n",
+    "print(f\"Número de eventos de EAS obtenidos para el primer lote de datos: {n_events_1}\")\n",
+    "print(f\"Tasa de lluvias para el primer lote de datos: \\n\"\n",
+    "      f\"Lluvias por hora: {n_events_1} eventos/h \\n\"\n",
+    "      f\"Lluvias por minuto: {min_events_1} eventos/min \\n\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Detecciones por lluvia**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Flujo de detecciones por evento de EAS para el primer lote de datos: 5.63\n",
+      "Desviación estándar: 2.4\n",
+      "Error estándar de la media: 0.12\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f\"Flujo de detecciones por evento de EAS para el primer lote de datos: {round(mean_1,2)}\")\n",
+    "print(f\"Desviación estándar: {round(std_1,2)}\")\n",
+    "print(f\"Error estándar de la media: {round(sem_1,2)}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Aplicando los pasos análogos a los siguientes conjuntos de datos:"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 3.1.2 Análisis para el segundo lote de datos "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "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>Word 1</th>\n",
+       "      <th>Datetime</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>E7552E76</td>\n",
+       "      <td>100421 004549.013</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>E7552E76</td>\n",
+       "      <td>100421 004549.013</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>E7552E7A</td>\n",
+       "      <td>100421 004549.013</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>E7552E7A</td>\n",
+       "      <td>100421 004549.013</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>E7552E7C</td>\n",
+       "      <td>100421 004549.013</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3223</th>\n",
+       "      <td>DF830814</td>\n",
+       "      <td>100421 021429.000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3224</th>\n",
+       "      <td>F1C8B587</td>\n",
+       "      <td>100421 021442.008</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3225</th>\n",
+       "      <td>F1C8B588</td>\n",
+       "      <td>100421 021442.008</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3226</th>\n",
+       "      <td>F1C8B589</td>\n",
+       "      <td>100421 021442.008</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3227</th>\n",
+       "      <td>F1C8B58A</td>\n",
+       "      <td>100421 021442.008</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>3211 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        Word 1           Datetime\n",
+       "0     E7552E76  100421 004549.013\n",
+       "1     E7552E76  100421 004549.013\n",
+       "2     E7552E7A  100421 004549.013\n",
+       "3     E7552E7A  100421 004549.013\n",
+       "4     E7552E7C  100421 004549.013\n",
+       "...        ...                ...\n",
+       "3223  DF830814  100421 021429.000\n",
+       "3224  F1C8B587  100421 021442.008\n",
+       "3225  F1C8B588  100421 021442.008\n",
+       "3226  F1C8B589  100421 021442.008\n",
+       "3227  F1C8B58A  100421 021442.008\n",
+       "\n",
+       "[3211 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 85,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "datetime_2, time_2 = date_time(dataset_2)\n",
+    "datetime_2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "events_2, counts_2, mean_2, std_2, sem_2 = events_counts(time_2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_date(events_2, counts_2, mean_2, std_2, sem_2, \"Air shower events taken on 10/04/21 (Dataset 2)\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Lluvias detectadas**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Número de eventos de EAS obtenidos para el segundo lote de datos: 563\n",
+      "Tasa de lluvias para el segundo lote de datos: \n",
+      "Lluvias por hora: 375.3333333333333 eventos/h \n",
+      "Lluvias por minuto: 6.2555555555555555 eventos/min \n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "n_events_2 = len(events_2)\n",
+    "min_events_2 = n_events_2/(60*1.5)\n",
+    "print(f\"Número de eventos de EAS obtenidos para el segundo lote de datos: {n_events_2}\")\n",
+    "print(f\"Tasa de lluvias para el segundo lote de datos: \\n\"\n",
+    "      f\"Lluvias por hora: {n_events_2/1.5} eventos/h \\n\"\n",
+    "      f\"Lluvias por minuto: {min_events_2} eventos/min \\n\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Detecciones por lluvia**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Flujo de detecciones por evento de EAS para el segundo lote de datos: 5.63\n",
+      "Desviación estándar: 2.4\n",
+      "Error estándar de la media: 0.12\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f\"Flujo de detecciones por evento de EAS para el segundo lote de datos: {round(mean_1,2)}\")\n",
+    "print(f\"Desviación estándar: {round(std_1,2)}\")\n",
+    "print(f\"Error estándar de la media: {round(sem_1,2)}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 3.1.3 Análisis para el tercer lote de datos "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "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>Word 1</th>\n",
+       "      <th>Datetime</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>5C470C80</td>\n",
+       "      <td>100421 040733.013</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>5C470C80</td>\n",
+       "      <td>100421 040733.013</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>5C470C81</td>\n",
+       "      <td>100421 040733.013</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>5C470C83</td>\n",
+       "      <td>100421 040733.013</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>6E5FFE22</td>\n",
+       "      <td>100421 040745.013</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2340</th>\n",
+       "      <td>1E2CDB74</td>\n",
+       "      <td>100421 050659.004</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2341</th>\n",
+       "      <td>1EFFF90D</td>\n",
+       "      <td>100421 050700.012</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2342</th>\n",
+       "      <td>1EFFF90E</td>\n",
+       "      <td>100421 050700.012</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2343</th>\n",
+       "      <td>1EFFF912</td>\n",
+       "      <td>100421 050700.012</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2344</th>\n",
+       "      <td>1EFFF914</td>\n",
+       "      <td>100421 050700.012</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2333 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        Word 1           Datetime\n",
+       "0     5C470C80  100421 040733.013\n",
+       "1     5C470C80  100421 040733.013\n",
+       "2     5C470C81  100421 040733.013\n",
+       "3     5C470C83  100421 040733.013\n",
+       "4     6E5FFE22  100421 040745.013\n",
+       "...        ...                ...\n",
+       "2340  1E2CDB74  100421 050659.004\n",
+       "2341  1EFFF90D  100421 050700.012\n",
+       "2342  1EFFF90E  100421 050700.012\n",
+       "2343  1EFFF912  100421 050700.012\n",
+       "2344  1EFFF914  100421 050700.012\n",
+       "\n",
+       "[2333 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 90,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "datetime_3, time_3 = date_time(dataset_3)\n",
+    "datetime_3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 91,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "events_3, counts_3, mean_3, std_3, sem_3 = events_counts(time_3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 92,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_date(events_3, counts_3, mean_3, std_3, sem_3, \"Air shower events taken on 10/04/21 (Dataset 3)\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Lluvias detectadas**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Número de eventos de EAS obtenidos para el tercer lote de datos: 417\n",
+      "Tasa de lluvias para el tercer lote de datos: \n",
+      "Lluvias por hora: 417 eventos/h \n",
+      "Lluvias por minuto: 6.95 eventos/min \n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "n_events_3 = len(events_3)\n",
+    "min_events_3 = n_events_3/60\n",
+    "print(f\"Número de eventos de EAS obtenidos para el tercer lote de datos: {n_events_3}\")\n",
+    "print(f\"Tasa de lluvias para el tercer lote de datos: \\n\"\n",
+    "      f\"Lluvias por hora: {n_events_3} eventos/h \\n\"\n",
+    "      f\"Lluvias por minuto: {min_events_3} eventos/min \\n\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Detecciones por lluvia**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Flujo de detecciones por evento de EAS para el tercer lote de datos: 5.59\n",
+      "Desviación estándar: 2.38\n",
+      "Error estándar de la media: 0.12\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f\"Flujo de detecciones por evento de EAS para el tercer lote de datos: {round(mean_3,2)}\")\n",
+    "print(f\"Desviación estándar: {round(std_3,2)}\")\n",
+    "print(f\"Error estándar de la media: {round(sem_3,2)}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Bonus: Total de datos y de eventos**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 115,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Número total de datos obtenidos: 7736\n",
+      "Número de eventos total de EAS detectadas: 1369\n",
+      "Tasa promedio de eventos considerando el total EAS detectadas: 6.56 eventos/min\n",
+      "Registros promedio por lluvia considerando el total de EAS detectadas: 5.64 detecciones/evento\n"
+     ]
+    }
+   ],
+   "source": [
+    "n_data = n_data_1 + n_data_2 + n_data_3\n",
+    "n_events = n_events_1 + n_events_2 + n_events_3\n",
+    "min_events = (min_events_1 + min_events_2 + min_events_3)/3\n",
+    "flux_mean = (mean_1 + mean_2 + mean_3)/3\n",
+    "print(f\"Número total de datos obtenidos: {n_data}\")\n",
+    "print(f\"Número de eventos total de EAS detectadas: {n_events}\")\n",
+    "print(f\"Tasa promedio de eventos considerando el total EAS detectadas: {round(min_events, 2)} eventos/min\")\n",
+    "print(f\"Registros promedio por lluvia considerando el total de EAS detectadas: \"\n",
+    "      f\"{round(flux_mean, 2)} detecciones/evento\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 3.2 Estimación de la dirección de la lluvia area extensa detectada\n",
+    "\n",
+    "Estimar la dirección de una EAS es un análisis complejo, para el cual se pueden considerar varios métodos que incluso no garantizan un resultado correcto. Sin embargo, con el objetivo de complementar el análisis de datos, acá se añade el procedimiento para estimar la dirección de EAS utilizando consideraciones geométricas. Sin embargo, antes de aplicar estas consideraciones, es necesario un análisis más extenso de los datos, en concreto, de todos los datos temporales, para obtener medidas precisas del tiempo de detección. Luego, se puede realizar la estimación."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 3.2.1 Analisis para el primer lote de datos "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Utilizando las funciones definidas al comienzo del notebook, se convierten las columnas en sistema hexadecimal a decimal para operar y hallar los tiempos absolutos en el sistema adecuado. Pero pimero, las palabras de Word 4 a Word 9 se deben convertir a binario para el análisis por bits (consulte la Estructura de datos en **Anexos**). "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "binary_1 = convert_bin(dataset_1, datetime_1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
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+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Word 1</th>\n",
+       "      <th>Word 4</th>\n",
+       "      <th>Word 5</th>\n",
+       "      <th>Word 6</th>\n",
+       "      <th>Word 7</th>\n",
+       "      <th>Word 8</th>\n",
+       "      <th>Word 9</th>\n",
+       "      <th>Word 10</th>\n",
+       "      <th>Datetime</th>\n",
+       "      <th>Word 16</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
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+       "      <td>00000000</td>\n",
+       "      <td>2022BD66</td>\n",
+       "      <td>090421 231158.000</td>\n",
+       "      <td>+0074</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2041B061</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00100110</td>\n",
+       "      <td>2022BD66</td>\n",
+       "      <td>090421 231158.000</td>\n",
+       "      <td>+0074</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2041B065</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00110000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>2022BD66</td>\n",
+       "      <td>090421 231158.000</td>\n",
+       "      <td>+0074</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2E51E182</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00110110</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00110001</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>2D8BF7A6</td>\n",
+       "      <td>090421 231207.008</td>\n",
+       "      <td>+0066</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2E51E185</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00110100</td>\n",
+       "      <td>00110001</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>2D8BF7A6</td>\n",
+       "      <td>090421 231207.008</td>\n",
+       "      <td>+0066</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2199</th>\n",
+       "      <td>F3559FF6</td>\n",
+       "      <td>00111101</td>\n",
+       "      <td>00111010</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>F247F3A6</td>\n",
+       "      <td>100421 001135.015</td>\n",
+       "      <td>+0058</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2200</th>\n",
+       "      <td>F3559FF7</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00100000</td>\n",
+       "      <td>00100100</td>\n",
+       "      <td>00100001</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>F247F3A6</td>\n",
+       "      <td>100421 001135.015</td>\n",
+       "      <td>+0058</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2201</th>\n",
+       "      <td>F3559FF7</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00101100</td>\n",
+       "      <td>00101001</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>F247F3A6</td>\n",
+       "      <td>100421 001135.015</td>\n",
+       "      <td>+0058</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2202</th>\n",
+       "      <td>F3559FF7</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00110100</td>\n",
+       "      <td>00110001</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>F247F3A6</td>\n",
+       "      <td>100421 001135.015</td>\n",
+       "      <td>+0058</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2203</th>\n",
+       "      <td>F3559FF7</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00111000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>F247F3A6</td>\n",
+       "      <td>100421 001135.015</td>\n",
+       "      <td>+0058</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2192 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        Word 1    Word 4    Word 5    Word 6    Word 7    Word 8    Word 9  \\\n",
+       "0     2041B05A  00000000  00000000  00101010  00000000  00101110  00000000   \n",
+       "1     2041B061  00000000  00000000  00000000  00000000  00000000  00100110   \n",
+       "2     2041B065  00000000  00000000  00000000  00110000  00000000  00000000   \n",
+       "3     2E51E182  00000000  00000000  00110110  00000000  00110001  00000000   \n",
+       "4     2E51E185  00000000  00000000  00110100  00110001  00000000  00000000   \n",
+       "...        ...       ...       ...       ...       ...       ...       ...   \n",
+       "2199  F3559FF6  00111101  00111010  00000000  00000000  00000000  00000000   \n",
+       "2200  F3559FF7  00000000  00100000  00100100  00100001  00000000  00000000   \n",
+       "2201  F3559FF7  00000000  00000000  00101100  00101001  00000000  00000000   \n",
+       "2202  F3559FF7  00000000  00000000  00110100  00110001  00000000  00000000   \n",
+       "2203  F3559FF7  00000000  00000000  00000000  00111000  00000000  00000000   \n",
+       "\n",
+       "       Word 10           Datetime Word 16  \n",
+       "0     2022BD66  090421 231158.000   +0074  \n",
+       "1     2022BD66  090421 231158.000   +0074  \n",
+       "2     2022BD66  090421 231158.000   +0074  \n",
+       "3     2D8BF7A6  090421 231207.008   +0066  \n",
+       "4     2D8BF7A6  090421 231207.008   +0066  \n",
+       "...        ...                ...     ...  \n",
+       "2199  F247F3A6  100421 001135.015   +0058  \n",
+       "2200  F247F3A6  100421 001135.015   +0058  \n",
+       "2201  F247F3A6  100421 001135.015   +0058  \n",
+       "2202  F247F3A6  100421 001135.015   +0058  \n",
+       "2203  F247F3A6  100421 001135.015   +0058  \n",
+       "\n",
+       "[2192 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 97,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "binary_1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Los datos en binario de la Word 4 a Word 9 permiten estudiar los tiempos de los flancos de subida y bajada: aAnalizando el bit 5 de las palabras 4 a 9, se determina la validez del flanco (1=válido, 0=no válido) de subida o bajada según sea el caso de acuerdo al Manual del usuario. En caso de un flanco válido, se procede a convertir los bits 0 a 4 a decimal para extraer el TMC (Time Memory Cell Count), es decir, los tiempos de RE y FE. La función time_df hará esta revisión y conversión. \n",
+    "Además, la misma función analizará los datos de las columnas correspondientes para hallar los tiempos de los triggers y los tiempos absolutos de los triggers. Las ecuaciones a considerar son:  \n",
+    "  \n",
+    "$$ \\Delta T_{\\mathrm{clk}} = \\mathrm{Word 1} - \\mathrm{Word 10} $$  \n",
+    "  \n",
+    "$$ \\Delta T_{\\mathrm{sec}} = \\Delta T_{\\mathrm{clk}} \\frac{1}{f_{\\mathrm{clk}}}$$\n",
+    "\n",
+    "$$ T_{abs} = \\mathrm{Time_{sec}} + \\frac{\\mathrm{Word 16_{sec}}}{1000} + Round(\\frac{\\mathrm{Word 1} - \\mathrm{Word 10}}{f_{\\mathrm{clk}}})$$\n",
+    "\n",
+    "donde  \n",
+    "  \n",
+    "$f_{\\mathrm{clk}}$: frecuencia del reloj (25MHz para este sistema de DAQ),  \n",
+    "$\\Delta T_{\\mathrm{clk}}$: el tiempo de cada trigger,   \n",
+    "$ \\Delta T_{\\mathrm{sec}}$: conversión de $\\Delta T_{\\mathrm{clk}}$ a segundos,   \n",
+    "$T_{abs}$: el tiempo absoluto del trigger.  \n",
+    "  \n",
+    "  \n",
+    "Es importante acotar que el nombre de las columnas fue modificado de acuerdo a su significado. Note que los datos de las columnas Trigger Count y 1PPS Count tienen una resolución de 10ns, mientras que los datos de RE y FE para todos los detectores tienen una resolución de 1.25. Los errores de los tiempos encontrados mediante las ecuaciones mostradas no son fáciles de obtener, pues dependen de los errores de medición del detector, una información que se determina en otro tipo de experimento.\n",
+    "  \n",
+    "Volviendo al dataframe, el que se muestra a cotinuación, generado por la función time_df puede considerarse el dataframe final de cada base de datos, porque contiene la información precisa de cada conjunto de datos."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "event_time_1 = time_df(binary_1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
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+       "\n",
+       "    .dataframe thead th {\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Trigger Count</th>\n",
+       "      <th>RE1 (ns)</th>\n",
+       "      <th>FE1 (ns)</th>\n",
+       "      <th>RE2 (ns)</th>\n",
+       "      <th>FE2 (ns)</th>\n",
+       "      <th>RE3 (ns)</th>\n",
+       "      <th>FE3 (ns)</th>\n",
+       "      <th>1PPS Count</th>\n",
+       "      <th>Datetime</th>\n",
+       "      <th>Correction</th>\n",
+       "      <th>T(sec)</th>\n",
+       "      <th>ΔT(clk)</th>\n",
+       "      <th>ΔT(sec)</th>\n",
+       "      <th>T(abs)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>541175898</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>12.5</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>17.50</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>539147622</td>\n",
+       "      <td>090421 231158.000</td>\n",
+       "      <td>0.074</td>\n",
+       "      <td>83518.000</td>\n",
+       "      <td>2028276</td>\n",
+       "      <td>0.081131</td>\n",
+       "      <td>83518.155131</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>541175905</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>7.5</td>\n",
+       "      <td>539147622</td>\n",
+       "      <td>090421 231158.000</td>\n",
+       "      <td>0.074</td>\n",
+       "      <td>83518.000</td>\n",
+       "      <td>2028283</td>\n",
+       "      <td>0.081131</td>\n",
+       "      <td>83518.155131</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>541175909</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>20.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>539147622</td>\n",
+       "      <td>090421 231158.000</td>\n",
+       "      <td>0.074</td>\n",
+       "      <td>83518.000</td>\n",
+       "      <td>2028287</td>\n",
+       "      <td>0.081131</td>\n",
+       "      <td>83518.155131</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>777118082</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>27.5</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>21.25</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>764147622</td>\n",
+       "      <td>090421 231207.008</td>\n",
+       "      <td>0.066</td>\n",
+       "      <td>83527.008</td>\n",
+       "      <td>12970460</td>\n",
+       "      <td>0.518818</td>\n",
+       "      <td>83527.592818</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>777118085</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>21.25</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>764147622</td>\n",
+       "      <td>090421 231207.008</td>\n",
+       "      <td>0.066</td>\n",
+       "      <td>83527.008</td>\n",
+       "      <td>12970463</td>\n",
+       "      <td>0.518819</td>\n",
+       "      <td>83527.592819</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2199</th>\n",
+       "      <td>4082474998</td>\n",
+       "      <td>36.25</td>\n",
+       "      <td>32.5</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4064801702</td>\n",
+       "      <td>100421 001135.015</td>\n",
+       "      <td>0.058</td>\n",
+       "      <td>87095.015</td>\n",
+       "      <td>17673296</td>\n",
+       "      <td>0.706932</td>\n",
+       "      <td>87095.779932</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2200</th>\n",
+       "      <td>4082474999</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4064801702</td>\n",
+       "      <td>100421 001135.015</td>\n",
+       "      <td>0.058</td>\n",
+       "      <td>87095.015</td>\n",
+       "      <td>17673297</td>\n",
+       "      <td>0.706932</td>\n",
+       "      <td>87095.779932</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2201</th>\n",
+       "      <td>4082474999</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>11.25</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4064801702</td>\n",
+       "      <td>100421 001135.015</td>\n",
+       "      <td>0.058</td>\n",
+       "      <td>87095.015</td>\n",
+       "      <td>17673297</td>\n",
+       "      <td>0.706932</td>\n",
+       "      <td>87095.779932</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2202</th>\n",
+       "      <td>4082474999</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>21.25</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4064801702</td>\n",
+       "      <td>100421 001135.015</td>\n",
+       "      <td>0.058</td>\n",
+       "      <td>87095.015</td>\n",
+       "      <td>17673297</td>\n",
+       "      <td>0.706932</td>\n",
+       "      <td>87095.779932</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2203</th>\n",
+       "      <td>4082474999</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>30.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4064801702</td>\n",
+       "      <td>100421 001135.015</td>\n",
+       "      <td>0.058</td>\n",
+       "      <td>87095.015</td>\n",
+       "      <td>17673297</td>\n",
+       "      <td>0.706932</td>\n",
+       "      <td>87095.779932</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2192 rows × 14 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      Trigger Count  RE1 (ns)  FE1 (ns)  RE2 (ns)  FE2 (ns)  RE3 (ns)  \\\n",
+       "0         541175898      0.00       0.0      12.5      0.00     17.50   \n",
+       "1         541175905      0.00       0.0       0.0      0.00      0.00   \n",
+       "2         541175909      0.00       0.0       0.0     20.00      0.00   \n",
+       "3         777118082      0.00       0.0      27.5      0.00     21.25   \n",
+       "4         777118085      0.00       0.0      25.0     21.25      0.00   \n",
+       "...             ...       ...       ...       ...       ...       ...   \n",
+       "2199     4082474998     36.25      32.5       0.0      0.00      0.00   \n",
+       "2200     4082474999      0.00       0.0       5.0      1.25      0.00   \n",
+       "2201     4082474999      0.00       0.0      15.0     11.25      0.00   \n",
+       "2202     4082474999      0.00       0.0      25.0     21.25      0.00   \n",
+       "2203     4082474999      0.00       0.0       0.0     30.00      0.00   \n",
+       "\n",
+       "      FE3 (ns)  1PPS Count           Datetime  Correction     T(sec)  \\\n",
+       "0          0.0   539147622  090421 231158.000       0.074  83518.000   \n",
+       "1          7.5   539147622  090421 231158.000       0.074  83518.000   \n",
+       "2          0.0   539147622  090421 231158.000       0.074  83518.000   \n",
+       "3          0.0   764147622  090421 231207.008       0.066  83527.008   \n",
+       "4          0.0   764147622  090421 231207.008       0.066  83527.008   \n",
+       "...        ...         ...                ...         ...        ...   \n",
+       "2199       0.0  4064801702  100421 001135.015       0.058  87095.015   \n",
+       "2200       0.0  4064801702  100421 001135.015       0.058  87095.015   \n",
+       "2201       0.0  4064801702  100421 001135.015       0.058  87095.015   \n",
+       "2202       0.0  4064801702  100421 001135.015       0.058  87095.015   \n",
+       "2203       0.0  4064801702  100421 001135.015       0.058  87095.015   \n",
+       "\n",
+       "       ΔT(clk)   ΔT(sec)        T(abs)  \n",
+       "0      2028276  0.081131  83518.155131  \n",
+       "1      2028283  0.081131  83518.155131  \n",
+       "2      2028287  0.081131  83518.155131  \n",
+       "3     12970460  0.518818  83527.592818  \n",
+       "4     12970463  0.518819  83527.592819  \n",
+       "...        ...       ...           ...  \n",
+       "2199  17673296  0.706932  87095.779932  \n",
+       "2200  17673297  0.706932  87095.779932  \n",
+       "2201  17673297  0.706932  87095.779932  \n",
+       "2202  17673297  0.706932  87095.779932  \n",
+       "2203  17673297  0.706932  87095.779932  \n",
+       "\n",
+       "[2192 rows x 14 columns]"
+      ]
+     },
+     "execution_count": 99,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "event_time_1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Con la totalidad de información temporal obtenida, se procede a la estimación de la dirección de las EAS por medio de consideraciones geométricas:  \n",
+    "  \n",
+    "Representando el frente de la lluvia aérea extensa como un plano que se mueve a velocidad de la luz $c$ en metros/segundo, se plantearon los siguientes 3 escenarios en los que puede incidir dicho frente al arreglo de detectores:"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<img src=\"images/EAS-direction-0.png\" style=\"width: 700px;\"/>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "donde:  \n",
+    "  \n",
+    "$A$ y $B$ son cualquier par de detctores,  \n",
+    "$t_{A}$ es el instante de tiempo en el que hay trigger en el detector A,  \n",
+    "$t_{B}$ el instante de tiempo en el que hay trigger en el detector B y \n",
+    "$|t_{A}-t_{B}|$ es la separación temporal entre dichos instantes de tiempo.  \n",
+    "  \n",
+    "El ángulo $\\theta$ constituye una medida de la dirección en la cual puede incidir el plano de la lluvia aérea.  \n",
+    "  \n",
+    "De acuerdo a lo ilustrado en los 3 escenarios, se tiene:  \n",
+    "$$0 \\leqslant \\theta \\leqslant \\frac{\\pi}{2} \\iff 0 \\leqslant \\cos(\\theta) \\leqslant 1$$ y también: $${\\normalsize \\cos(\\theta)=\\frac{c|t_{A}-t_{B}|}{0.32 m}}$$"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "por lo cual: $$\\normalsize{0 \\leqslant |t_{A}-t_{B}| \\leqslant \\frac{0.32m}{c}*10^{9} \\Longrightarrow 0\\ ns \\leqslant |t_{A}-t_{B}| \\leqslant 1.07\\ ns}$$.  \n",
+    "Lo anterior implica que:  \n",
+    "$$|t_{A}-t_{B}|=\\ 0$$  \n",
+    "una lluvia que incide horizontalmente al arreglo de detectores.  \n",
+    "  \n",
+    "Por el contrario si:  \n",
+    "$$|t_{A}-t_{B}|=1.07\\ ns$$ \n",
+    "siginica que la lluvia incide verticalmente al arreglo de detectores."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Considerando estas ecuaciones, antes de continuar el análisis de datos, se guarda en una variable el valor 1.07, para representar la separación máxima temporal que puede haber en los triggers entre cualquier par de detectores"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dif = 1.07"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 101,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 35.0), ('RE3', 35.0), ('FE1', 173.75), ('FE3', 175.0), ('RE3', 177.5), ('FE3', 183.75), ('RE3', 188.75), ('FE3', 190.0)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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9dkrpt2VtuwwRcQj5cELIbW92j1UeJP85cl/TY/cBR5HPlDYRBsnv32czdGbA6eRDZb9bLPMy4NsTsO/xts1extt2x7v+z4vrmRHx3JYyImI7huZrg9E/P0kCPLxOUvU1/6Cd3vT4N8lnWxnVacpTnlC18ePqFxHx0Yh4dkSsWUq0eT6Vdprng9ik6fZODM1Jc0mX7Q6MPSSIPEH1+yLiksgTiD/WNPlw8xfWthPBFkb73HZsut/tx1ZZP8T2SylFh8upjYUiYrWI+LeI+GlE3FpMtpya6uNZxaLd6mIidKpfGKrjTVoef3pxPWFtp8n/dqnfxuXmpuXH+/rvxdBhK2N5fo0fUasBf2tJYK+6MDSXyrrkQ04nwhLyobPtPJ2h53lRl238urh+anHIVjt/7vD43cX1/Smlm3oss3GXGEpXJFW/X9w9LCI+E/nEDdMiYpeI+Dp5Pq/G/FntEt9jVvT9Xye3k3enlAZL2u6TyYnCNckj9d5exnbLEhHPB/6vuPtbuhym2pBSOiblw0c3I79fXkyex+ks8rxz3f60GJOUJ2p/X0rpz42EbMquSSm9njxJPcArIuJFnbc0pn1PaducBJ8ljxwD+GFEvD4iNoiIdYo5BH9FnvOyoW7PT1JFmHSSVGmNH7Pk/mpr8r+yg+R/33rNQdTJYeTRLJsDxwGXAw9HxO+LxEzrD/vRxPtwh8eXN91t/sG4edPtThOVAowqudasmKPlb+Sz7Lyg2OcyhiZDvrtp8Y4jgsbw3Jon4+4W/4IuZaUqJr29CDgHeCV5npzVyIfmNeqi8QOir9FRJWpbv4VGHbcmGxrtZ0LazjiN9/Uf73tj6+J6NbqPztqsaZ3mxHaZ7uswShBGX09rMDL5CHR+jzLUfsbSxnpp3ma3+msua43jPxlKPv4XeWTfY+T5zN5CHk3ZGJH5QMu6jW31eu0a5a37/jB5nqmfpJTO67GNvhR97m/JbXg2cECX12bSRcS+5PpchzyH2Ktb+vGeUkqPpJQuAp5PPszrWeTJ6CfbsQxNhP6aCdj+eNpmL+Ntu+Nav/jT7jXkz78tyKPFHiT/EfVL8p9i72paZbTPT5IAk06SaqL4Z/POlNKZwL+Q5xf45Fj+2Uwp3UoeXfBS4PPkL8yrkUdGfBKYW/Y/pv2GNkHb/T/yqJ2byYdjbZryBNpbpDwZcvNZ5yZ6Qtap9j/keYCWkH9AbA+snVLatPgHfyuGRhzVqS4mqu1UxVieX+NQubv7GKHVbqRWmabslPGToDkh2PYMli1lD6V8NrtVioTMi8lnOPwJeW6rm8kJ4jeT+/xGom1Oh/1323dz+ap4i7NxHUM+++AxEbFe66Vp/TXbPDZCkXC6mHz49hzyCMy7esQ2aYqE0y/Ih1pdBrys9fUYjZTSY+STIAC8djx/2oxx/4sYmqR+pwnY/njaZi9jbrslrU9K6VLyGS7/l3xihFvI8wCeBTyT4aMvR/v8JAkYPmRSkmohpTQQEd8ij3b6QkQ8NXU4c0uXbawk/5P3S8iHn5FHvpxMnqz83Ih4YvGFeiItbLq9NZ2/1PX6UtlWMSdDY26iN6SULm+zWOmHRBSa5/DZhvzPcDtjem5j9Pri+qPNh9y1mKj6mAgLyQnFrbssM5n122y8r3/re+PmUa7f+KG/WUSsm1Ja3GG5qdZcT9vS+bTzjcM9l5NHJlRF8xnrnsLQKdZbNc601fb07EWf/G3azM0TEWsATyvutp4ZsLH/LSJi85TSwpZyirm6nlzcndVUtC35u/AaDJ0hrJMPFhciYuN2h+E1JZy2Jicn9ksp3dlju5OmOBtkc8LpJSWNwGoeobcznQ/zrKVxtM1extN2G+u/AtgtIlZv9z0oIrZgaNRo6/oAFPs9vri0rt+YN3AZ8JduT0aSOnGkk6S6+ih59MDu5H8bxyWl9HBK6VzyUHrIh91MxumBbyIfLgj5LD2ddCvrZrum21d1WOaAMW67l/kM/Tjer8tykzmqrFEfbeuimHx650mLZvwa8wTN7LJMt7KJNN7Xv3HGJRjb8/tDcb06eaLhqrqSoblS9u+yXON9ek1KaVmX5SbbHODW4vZL2y0QEeuSD8OCPE/MaL0S2JA8QvH7LWW/brrddv/kUayNSZTHsv+eioTTAEN/HsxMKXU7LHRStUk4vbTEQ/6aRxhN6mGExcizRkJzfrdlJ0i3ttnLeNtuY/316Xzii+btjqXtv7G4/mGFE/eSKs6kk6RaSinNY+jMNcd1mVh3mD4mDF/SdHvCJ80szjTVOCvVOyJixCS+EfEk4OAx7uLBpttPay0sRnh1OivPuBTPrXHWvXdExGaty0TE7sBBE7H/Dhr1MaIuCh+frEBK0jjz2ws6nH1oLeDoyQ0pG+/rn/KZHC8u7h7V7r0bES9gKJnRuv7fGZpk/MSI2LBbvJN9WFBDMWKmcXa59xXzjg0TEU9j6CyXE3GWrjErXufGGQBfXyRuW70LWI/8R8E5o9l+RGzO0NkHv5RSGjavTDEx+u+Lu0d1+Cz4QHF9C3Bp07oDvQ65bNpG80T6gy0xNhJOzYfUVTXh9EfyCKeH+ly361ERRdLn3cXdu+g8onFMirNgdnMCsHZx+yfdFixbr7bZy3jabuGS4vHm5Zrjm0Y+syDA71NKo0rKRcRrgVeRR1fW7bNRUoWYdJJUZyeTR0LswNAIpV6eExHXRsR/RcRuEbEa5C+2xRfz04vlFgDXlh1wByeTk11bAr+KiL2aYnoR+Qdpr1Mid3IDQ6MQvh4Rz2gUFHN7DDCxZ6s6mfzP92bAryNi72LfUZwd50LG/tzGonGmsg9FxL82flBFxI4RcS45uVenyVK/Sz5kIshnH3p1cTgGEbErcAFTe7jgeF//j5Df408BflokYImINSLiX4Hz6P56vRtYBOwCXF7UT+MHKhGxTUS8KSJ+A3xirE+yBB8iH76yM/DLiNiziG+1iDiQfGrzNciH3p05ZVF2dgo54TAd+Fmjn4mINSPincDHiuW+nFIacQhxRLw8It4bEf/U1H6nF4f2XEYeSXMNnc+wdgw5ofU04DsRsU2xjU0i4jSGRrq9f7SHYvdSzAvVmMNpNmMY4RQRa0XEZo0LOUHXKNus5TKq7+4RsQ9DCac/MPoRTj+IiE9GPstr83tn3Yh4VbHN3YuHP9xuwvzIc2E1P7+1iqJpLc+t3WfR3zp8Xu8ZEWcD7y2Wu7CY2LxdHWzWsv+G9VrK2iV8x9U2I2Ig8plRb25XzjjabnH//cXdAyPitCiS58V2vgM8tdj++2kjIj5S9IubNj32xIj4GEMJ7g+nlK7uEL8k9ZZS8uLFi5dKXcjzCiSKP9F7LPvjYtnbgLWaHp/ZbhvNjxeXx4B7yT/4Go89CDy/Zb0dmsp36LTNHrE21p/ZpuyglhgeIk9um8gJsEOL24+OoT5f0bLtxU3bXkQ+pKdtbCU9t5eTzy7U/NweKW7fQT4DUF+vd5ttz+y27zbLb0/+cdxYZxn58MbG/Q+SE3EJOL7N+jcXZYeWWNYz/h4xPRm4s2k7jzY9p0eL179Rts8Y6rix7qKi7rpdflj26w8c2bRuIieZGtu7rqn8xg7rP7elfpaT3/OPtGz3K2Oom46vS1F+aFF+cx/bOgRY2hTPg+RkdOP+rcBu3d4DXbbdMw6G+t2B0dZDsf4zinptfp0fa7r/S5r66C6vcWPOqhVNj10CbNJj/4cxvJ97gDxatXG/7Ws0ivbf6TX+estr1vU90uP16eeywyjj/23Tuvf3iO8vXdp4Kl6TB4rtNNftUnJSpFMMZ/X53Ea0z5byxud163v3Z8D6fbyGvS4jXuPxts2m+uv23htX26XpO1Ox3gNN95cBh3VZ9+qmZReT/yRoru8PjOV948WLFy/NF0c6Saq7E4vrbYG397H8X8ijWU4nn7XuXmAD8o/Yq8lnr9stpfS70iPtIqX0A2Bv8pwQC8n/BN8NfA7Yi6HDwgbHsO0LgBeQv5gPkkdM3Es+q90zUkq/GV/0Pff/M/LZAr9DnjR5TfJz+yL5uc2fyP23xHILuZ6/xtCZfB4ljwh6SUrp5MmKpSwppRvJ/2Z/npzcCvJz+h6wD0NzG8EY2k+Tdcmj8bpdRhyiNt7XP+UJ32eSR/s8QD6U5mbyYTX7MHSWwcEO6/+BPNLpaPLhKYPARuQfjjcAZwP/Tv5xOWVSSt8F9iCPZJpH7gOWk/uljwBPSSl1mqR7yqWU/kqO/7PkSbSnkX/E/h54G/ksaUs7rP5r4AvkebweILe1u4GfkpNxM1M+3LLb/r8KPBs4lzyx9XRye/sxsH9K6fixP7uumr9Lb0Dv98hka45v4y5xbcnQhNPNjgKOI79GN5M/P9YnJ18uA04Cdk8pfXJiwudw8mfVtcU+NyAnROaRR+IcmFJ6eSpvfqpW426bvYy37Rbl+xfL31Osf3uxvX2K7XfySfL3jnnkeg3yiL0vAU9LKXlYnaRxi5TSVMcgSeohIk4EjgV+m1LqNtmwNExEvJg8geyjwAapWpNQj1tEnEM+nfnXU0r9HmYrSZKkSeBIJ0mquMiTlR5W3P1Ft2WlZhER5DlDICcsH28Jp12Afy3u+t6QJEmqGJNOklQBEfGeiPhAROzcNLn1WsUkwpcCW5APu/v6VMap6omI/SLi1IjYOyLWKR6LYjLn8xmas2uiDn+ZUBHx0Yj4f8Xkto2JhNeNiEPIEzivDdxIPrREkiRJFeLhdZJUARFxKkNn4VlBnsNpA/L8GRT3X5NSGpj04FRpEfEa4EdNDz0ArMPQacQTcHRK6TOTHFopIuLHwKuLu8vIE91uxNAfZ7eTz8h1/aQHJ0mSpK5MOklSBUTEXsAbyRN+bwNsSj4j0HzyWZ8+l1K6feoiVFVFxFbkwy/3J5++e3PyZLB3AL8DvphSumLqIhyfiHghecLe55BPS78JeYLqOeQJ4L843ol8JUmSNDFMOkmSJEmSJKl0a/RepDo22mijtPPOO091GGOyePFi1l133akOY9TqGjfUN/a6xg31jb2ucUN9Y69r3FDf2OsaN9Q39rrGDfWNva5xQ31jr2vcUN/Y6xo31Df2usYN9Y29rnFDfWP/61//em9KafOyt1urpNOWW27JFVfU8wiBgYEBZs6cOdVhjFpd44b6xl7XuKG+sdc1bqhv7HWNG+obe13jhvrGXte4ob6x1zVuqG/sdY0b6ht7XeOG+sZe17ihvrHXNW6ob+wRcctEbNez10mSJEmSJKl0Jp0kSZIkSZJUOpNOkiRJkiRJKp1JJ0mSJEmSJJXOpJMkSZIkSZJKZ9JJkiRJkiRJpTPpJEmSJEmSpNKZdJIkSZIkSVLpTDpJkiRJkiSpdCadJEmSJEmSVDqTTpIkSZIkSSqdSSdJkiRJkiSVzqSTJEmSJEmSSmfSSZIkSZIkSaUz6SRJkiRJkqTSmXSSJEmSJElS6Uw6SZIkSZIkqXQmnSRJkiRJklQ6k06SJEmSJEkqnUknSZIkSZIklc6kkyRJkiRJkkpn0kmSJEmSJEmlM+kkSZIkSZKk0pl0kiRJkiRJUulMOkmSJEmSJKl0Jp0kSZIkSZJUOpNOkiRJkiRJKp1JJ0mSJEmSJJXOpJMkSZIkSZJKZ9JJkiRJkiRJpTPpJEmSJEmSpNKZdJIkSZIkSVLpTDpJkiRJkiSpdCadJEmSJEmSVDqTTpIkSZIkSSqdSSdJkiRJkiSVzqSTJEmSJEmSSmfSSZIkSZIkSaUz6SRJkiRJkqTSmXSSJEmSJElS6Uw6SZIkSZIkqXQmnSRJkiRJklQ6k06SJEmSJEkqnUknSZIkSZIklc6kkyRJkiRJkkpn0kmSJEmSJEmlM+kkSZIkSZKk0pl0kiRJkiRJUulMOkmSJEmSJKl0Jp0kSZIkSZJUOpNOkiRJkiRJKp1JJ0mSJEmSJJXOpJMkSZIkSZJKZ9JJkiRJkiRJpTPpJEmSJEmSpNKZdJIkSZIkSVLpTDpJkiRJkiSpdCadJEmSJEmSVDqTTpIkSZIkSSqdSSdJkiRJkiSVzqSTJEmSJEmSSmfSSZIkSZIkSaUz6SRJkiRJkqTSmXSSJEmSJElS6Uw6SZIkSZIkqXQmnSRJkiRJklQ6k06SJEmSJEkqnUknSZIkSZIklc6kkyRJkiRJkkpn0kmSJEmSJEmlm/SkU0S8JCJ+GxF3RcTSiFgQEd+LiN0nOxZJkiRJkiRNjDWmYJ+bAH8FTgMWAk8EPgBcHhF7ppRumYKYJEmSJEmSVKJJTzqllL4NfLv5sYj4M3AjcBDw6cmOSZIkSZIkSeWqypxO9xXXy6c0CkmSJEmSJJViypJOEbF6RKwZEU8CzgTuomUElCRJkiRJkuppKuZ0avgT8Izi9lzgRSmle7qtMP2222DmzOEPHnwwHHEEPPIIHHjgyJUOPTRf7r0XDjpoZPk73wmHHAK33QZvetPI8qOOgle+EmbPhre/fWT5hz4EBxwAV18NRx45svykk+A5z2GD66+H448fWX7qqTBjBlx0EZxwwsjyM8+EXXeF88+HT7c58vBb34LttoPvfhdOP31k+Q9+AJttBmedlS+tfv5zmD4dTjsNvve9keWNmE85BS64YHjZOuvAhRfm2x/7GPzmN8PLN90Uzjsv3/7gB+Gyy4aXb7stnH12vn3kkbkOm+2yC3z5y/n24YfDnDnDy2fMyPUH8MY3woIFw4p33Gabofby2tfCffcNK2f//eG44/Ltl70MliwZXv6KV8DRR+fbre0OJqztzRgchI02Kq3t8cc/wrHHjiyfgLa3KnYYf9sbGMjXk9D2ZgwMDMUN42577LsvnHxyvj3BbW/GkUcOjx0q0+91bXtQ3X6vV9s75ph8u4L9Xre2N2NwMD9WwX5vlQ5tb1XfUsF+b5iWtjesT4RK9Xu92t6MP/95eOwV6ve6tb1pDz7Yfv0q9Hu92h5Ut9/r0vb2WLkSLr0036lYvwd0bXszBgfzNivY763Spu0N61sq1u+N0NL2RvSLFer3urW93U48ceRvuYr0e73a3lr33NN++1Xo97q0vbWOOCLfqGC/16vt7TZt2lCdV6zfA4a3vUkwlUmnNwEbADsBRwO/jojnpZRubl4oIg4HDgd4yrRpDA4ODtvIPXPmcMfAAKs9+ihPbSkDuOvGG7lrYIBpDz7IHm3Kb581i4UDA6x1zz3s1qb8tuuu477112edW29l1zblt1xzDQ+ssQbrzZ3Lzm3Kb7rySh567DGmLVkyInaAuVdcwaLBQTa+5hq2b1M++09/Ysmdd7LpddexXZvyGy67jKXz5rH5rFls06Z81h/+wLINN2SrG29kqzbl1156KSvXXput58xhizblixYtYmBggO3mzWPTlvIVS5ZwXfFm3X7+fDZuKV+2ciWzivIdb72VDVvKl06bxg1F+c4LFrBeS/kjd9zBnKJ8lzvuYHpL+aIFC5hblO92992s1br/zTdnoCjfY+FCpj300LDyB+bP55aifM/772f1pUuHld83bx63FeUz2tTNRLW9FStWMDg4WFrb2+D669lpktpeI3YYf9u7uqj7yWh76zTFDeNvew/eeivzJ6nt7dESO1Sn3+va9rbaimtmz65kv9er7TX6xSr2e93a3ooVK5hf0X6voVPba/QtVez3mrW2vRUt788q9Xu92t5aLbFXqd/r1vaWLlrU9vtWJfq9Hm1v0SabcF1F+71ubW/59Omrvm9Vrd+D7m1vxYoVzKtov9fQru019y1V6/datba91n6xSv1et7a38/LlI/qWqvR7vdre8sWL2/aLVej3urW9xYsXMzAwUMl+r1fbW7bxxqv6xar1ezC87U2KlNKUX4CNgEHgjG7L7bLLLqmuLr744qkOYUzqGndK9Y29rnGnVN/Y6xp3SvWNva5xp1Tf2Osad0r1jb2ucadU39jrGndK9Y29rnGnVN/Y6xp3SvWNva5xp1Tf2Osad0r1jR24Ik1AvqcSE4mnlAbJh9jtPMWhSJIkSZIkqQSVSDpFxJbAk4F5Ux2LJEmSJEmSxm/S53SKiB8BVwLXAg8BuwD/BSwH2sxeJ0mSJEmSpLqZionELwcOBo4C1gRuAwaAk1PLJOKSJEmSJEmqp0lPOqWUPgF8YrL3K0mSJEmSpMlTiTmdJEmSJEmS9Phi0kmSJEmSJEmlM+kkSZIkSZKk0pl0kiRJkiRJUulMOkmSJEmSJKl0Jp0kSZIkSZJUOpNOkiRJkiRJKp1JJ0mSJEmSJJXOpJMkSZIkSZJKZ9JJkiRJkiRJpTPpJEmSJEmSpNKZdJIkSZIkSVLpTDpJkiRJkiSpdCadJEmSJEmSVDqTTpIkSZIkSSqdSSdJkiRJkiSVzqSTJEmSJEmSSmfSSZIkSZIkSaUz6SRJkiRJkqTSmXSSJEmSJElS6Uw6SZIkSZIkqXRrdCuMiK+PYlsppfSf44xHkiRJkiRJjwNdk07Ai4DU57b6XU6SJEmSJEmPc12TTimlHSYpDkmSJEmSJD2OOKeTJEmSJEmSSjeqpFNErBsR74mIH0TExRHxpOLx10fEkycmREmSJEmSJNVNrzmdVomI7YABYFvgRuApwPpF8X7AAcBhJccnSZIkSZKkGhrNSKdPA0uBXYBnANFUdgnw/BLjkiRJkiRJUo31PdIJeDFweErplohYvaXsdmCb8sKSJEmSJElSnY1mpNOawMMdyjYElo8/HEmSJEmSJD0ejGak07XAa4FftCl7GfDXUiKSHmcOOghWroQjjuhv+Wuu2ZjlNU3h1jX2usYN9Y29rnFDfWOva9xQ39jrGjfUN/a6xg31jb2ucUN9Y69r3KedBg89tBszZ5a/7b32goULYeedy982wODgDDbaaPhjc+fC5pvDVVeNb9t1jl3qx2iSTp8CfhARAOcWj+0eEa8G/hN4VcmxSY8LP/kJLF8OP/pRv2s8bSLDmWB1jb2ucUN9Y69r3FDf2OsaN9Q39rrGDfWNva5xQ31jr2vcUN/Y6xo3bLDBJhOy3YULYdGiCdl0R2Xtr86xS/3oO+mUUvphRBwBfBx4a/HwN8mH3P2/lFK7EVDSP7w994SU4Atf6G/5q666ir322mtig5ogdY29rnFDfWOva9xQ39jrGjfUN/a6xg31jb2ucUN9Y69r3FDf2Osa97vfDUuWLAGmlb7txiihgYHSN11s92pmtgzRKmvEVp1jl/oxmpFOpJTOiIhvAfsCWwD3AX9MKXWa60n6h7fBBvn6ec/rb/nlyx/se9mqqWvsdY0b6ht7XeOG+sZe17ihvrHXNW6ob+x1jRvqG3td44b6xl7XuDfcEFJaOdVhSJpko0o6AaSUFgMXTUAskiRJkiRJepwYVdIpIlYDngU8EVi7tTyl9M2S4pIkSZIkSVKN9Z10iojdgR8D/wREm0USeY4nSZIkSZIk/YMbzUin04rlDwauA5ZOSESSJEmSJEmqvdEknZ4OHJpS+uFEBSNJkiRJkqTHh9VGsey9wGMTFYgkSZIkSZIeP0aTdPos8K6IWH2igpEkSZIkSdLjw2gOr9sc2BX4W0T8Gri/pTyllD5SWmSSJEmSJEmqrdEknT7UdPtJbcoTYNJJkiRJkiRJ/SedUkqjORRPkiRJkiRJ/8BMJEmSJEmSJKl0ozm8bpWI2AJYu/XxlNKt445IkiRJkiRJtdd30ikiNgA+BxwCrNVhMc9sJ0mSJEmSpFGNdPoS8Frga8B1wNIJiUiSJEmSJEm1N5qk00uB96WUvjRRwUiSJEmSJOnxYbQTic+ekCgkSZIkSZL0uDKapNN3gFdOVCCSJEmSJEl6/BjN4XW/Ak6NiPWBnwP3ty6QUvptWYFJkiRJkiSpvkaTdPpJcb0jcGjT4wmI4tqz10mSJEmSJGlUSaf9JiwKSZIkSZIkPa70nXRKKV0ykYFIkiRJkiTp8WO0Z6+TJEmSJEmSehrN4XVExB7AYcCuwNotxSmltH9ZgUmSJEmSJKm++k46RcSzgUuAm4EnAdcCGwNPBBYAcycgPkmSJEmSJNXQaA6vOwn4IbAH+Wx1/5lS2gE4gHzWuhNKj06SJEmSJEm1NJqk01OBs4FU3F8dIKX0W3LC6eRyQ5MkSZIkSVJdjSbptCawOKW0ErgfeEJT2WzgKWUGJkmSJEmSpPoaTdJpLrBNcfta4K0RsVpErAa8Bbir7OAkSZIkSZJUT6M5e935wEzgXPL8Tj8DHgJWAOsB7yk7OEmSJEmSJNVT30mnlNLxTbcvioh9gNcC04FfpJR+VX54kiRJkiRJqqPRjHQaJqV0FXBVibFIkiRJkiTpcWI0czqNW0QcFBHnRcQtEbEkImZHxMkRsf5kxiFJkiRJkqSJ1XfSKSLWjIiPRMSNEfFIRKxouSzvYzNHk+eAOhZ4KXA68E7g18WE5JIkSZIkSXocGM3hdZ8C3gVcCPwQWDqG/b0ypbSw6f4lEXE/8A3yJOW/HcM2JUmSJEmSVDGjSTodBHwkpXTiWHfWknBq+Etxvc1YtytJkiRJkqRqGU3SaT3gsgmI4YXF9Q29Fpx+220wc+bwBw8+GI44Ah55BA48cORKhx6aL/feCwcdNLL8ne+EQw6B226DN71pZPlRR8ErXwmzZ8Pb3z6y/EMfggMOgKuvhiOPHFl+0knwnOewwfXXw/HHjyw/9VSYMQMuughOOGFk+Zlnwq67wvnnw6c/PbL8W9+C7baD734XTj99ZPkPfgCbbQZnnZUvrX7+c5g+HU47Db73vZHljZhPOQUuuGB42TrrwIUX5tsf+xj85jfDyzfdFM47L9/+4Afhspbms+22cPbZ+faRR+Y6bLbLLvDlL+fbhx8Oc+YML58xI9cfwBvfCAsWDCvecZtthtrLa18L9903fP3994fjjsu3X/YyWLJkePkrXgFHH51vt7Y76L/tLVsGs2bBzCOHl3doezMGB2GjjUpre/zxj3DssSPLJ6DtrYodxt/2Bgby9SS0vRkDA0Nxw7jbHvvuCyefnG9PcNubceSRw2OHyvR7XdseVLff69X2jjkm365gv9et7c0YHMyPTUa/V3LbW9W3VLDfG6al7Q3rE6FS/V6vtjfjz38eHnuF+r1ubW/agw+2X78K/V6vtgfV7fe6tL09Vq6ESy/NdyrW7wFd296MwcG8zQr2e6u0aXvD+paK9XsjNLe9q5/DesuXw8yjh8rL6vduugkeemj49+0S295uJ5448rfcTV+HnXbKt8fb71199cjfCiW1vbXuuWdk2776VNhuW2Czyv7WWOuII/KNCvZ7vT5zd5s2bajOK9bvAcPb3iQYTdLpfOAFlHgIXERsA3wUuCildEWHZQ4HDgd4yrRpDA4ODiu/Z84c7hgYYLVHH+WpLWUAd914I3cNDDDtwQfZo0357bNmsXBggLXuuYfd2pTfdt113Lf++qxz663s2qb8lmuu4YE11mC9uXPZuU35TVdeyUOPPca0JUtGxA4w94orWDQ4yMbXXMP2bcpn/+lPLLnzTja97jq2a1N+w2WXsXTePDafNYtt2pTP+sMfWLbhhmx1441s1ab82ksvZeXaa7P1nDls0aZ80aJFDAwMsN28eWzaUr5iyRKuK96s28+fz8Yt5ctWrmRWUb7jrbeyYUv50mnTuKEo33nBAtZrKX/kjjuYU5TvcscdTG8pX7RgAXOL8t3uvpu1Wve/+eYMFOV7LFzItIceGlb+wPz53FKU73n//ay+dPgRo/fNm8dtRfmMNnXTb9vbYpPt2HTarBGvf6e2t2LFCgYHB0trextcfz07TVLba8QO4297Vxd1Pxltb52muGH8be/BW29l/iS1vT1aYofq9Htd295WW3HN7NmV7Pd6tb1Gv1jFfq9b21uxYgXzJ6nfK7vtNfqWKvZ7zVrb3oqW92eV+r1ebW+tltir1O91a3tLFy1q+32rEv1ej7a3aJNNuK6i/V63trd8+vRV37eq1u9B97a3YsUK5lW032to1/aa+5aq9XutmtvebtM2JK2xcth7tKx+b6fpS1hryf3Dtl1m29t5+fIRfctO02fz0GZrMjAwd1z93mab7czmbX4rlNX2li9ePGLbu02bxcMbPMbAwPWV/a2xePFiBgYGKtnv9frMXbbxxqv6xar1ezD8M3cyREqpc2HETk13Nwe+CZwD/By4v3X5lNJNfe84Yj1gANgaeFZKaUH3NWDXXXdNs2fP7ncXlTIwMMDMdv+eVFxd44b6xl7XuKG+sdc1bqhv7HWNG+obe13jhvrGXte4ob6x1zVuqG/sdY0b6ht7XeOG+sZe17ihvrHXNW6ob+wR8deU0t5lb7fXSKe5QHNWKoDjgY+0LBfFcqv3s9OIWIc8cmon4IX9JJwkSZIkSZJUH72STm9leNJp3CJiGvADYG/gxSml68rcviRJkiRJkqZer6TTN4GXA/NTSte3WyAi9gR2SCmd32tnEbEa+fC8FwGvSCldPsp4JUmSJEmSVAOr9Sh/I/BtYHGXZR4Gzo2IN/Sxvy8BrwM+DSyOiH2aLtv2FbEkSZIkSZIqr5+k0/+llOZ3WiCldDPwdeDNfezvZcX1/wCXtVwO62N9SZIkSZIk1UCvw+ueDnyhj+1cBPx7r4VSSjv0sS1JkiRJkiTVXK+RTusDD/SxnQeKZSVJkiRJkqSeSad7ge372M4Ti2UlSZIkSZKknkmn39PfXE2HFstKkiRJkiRJPZNOpwL7R8RnI2LN1sKImBYRpwIvAj5bfniSJEmSJEmqo64TiaeULouIo4BPA/8eEb8CbimKtwdeDGwKHJVSunxCI5UkSZIkSVJt9Dp7HSmlUyPiSuAY4F+AdYqiJcAA8PGU0u8mLEJJkiRJkiTVTs+kE0BK6VLg0ohYDdisePi+lNKKCYtMkiRJkiRJtdVX0qkhpbQSuGeCYpEkSZIkSdLjRK+JxCVJkiRJkqRRM+kkSZIkSZKk0pl0kiRJkiRJUulMOkmSJEmSJKl0Jp0kSZIkSZJUOpNOkiRJkiRJKp1JJ0mSJEmSJJXOpJMkSZIkSZJKZ9JJkiRJkiRJpTPpJEmSJEmSpNKZdJIkSZIkSVLpTDpJkiRJkiSpdCadJEmSJEmSVDqTTpIkSZIkSSqdSSdJkiRJkiSVzqSTJEmSJEmSSmfSSZIkSZIkSaUz6SRJkiRJkqTSmXSSJEmSJElS6Uw6SZIkSZIkqXQmnSRJkiRJklQ6k06SJEmSJEkqXaSUpjqGvu26665p9uzZUx3GmAwMDDBz5sypDmPU6ho3VCf2vfaCZctg3337W/7OO+/gCU/YemKDmiB1jb2ucUN9Y69r3FDf2OsaN9Q39rrGDfWNva5xQ31jr2vcUN/Y6xo3jC72yy6DPfeEb3+797J77QULF8LOO48zwA4GBwfZaKON+lp27lzYfHO46qrx7bOs5zTZsZcR99y5sM46D/P3v68/9o1Moar8Dh2tiPhrSmnvsre7RtkblDTcnDmwfDk88EB/yz/22KasuebExjRR6hp7XeOG+sZe17ihvrHXNW6ob+x1jRvqG3td44b6xl7XuKG+sdc1bhhd7PfeCxH9LbtwISxaNPa4ylRWHFPxnMrYXxlxL1oES5fWtJFrBJNO0gR75jPz9cBAf8sPDFxWy8w41Df2usYN9Y29rnFDfWOva9xQ39jrGjfUN/a6xg31jb2ucUN9Y69r3DC62EfzFBujavr9vj1aAwNXT0jc3ZT1nCY79jLinjkTBgeXAGuNPyBNOed0kiRJkiRJUulMOkmSJEmSJKl0Jp0kSZIkSZJUOpNOkiRJkiRJKp1JJ0mSJEmSJJXOpJMkSZIkSZJKZ9JJkiRJkiRJpTPpJEmSJEmSpNKZdJIkSZIkSVLpTDpJkiRJkiSpdCadJEmSJEmSVDqTTpIkSZIkSSqdSSdJkiRJkiSVzqSTJEmSJEmSSmfSSZIkSZIkSaUz6SRJkiRJkqTSmXSSJEmSJElS6Uw6SZIkSZIkqXQmnSRJkiRJklQ6k06SJEmSJEkqnUknSZIkSZIklc6kkyRJkiRJkkpn0kmSJEmSJEmlM+kkSZIkSZKk0pl0kiRJkiRJUulMOkmSJEmSJKl0Jp0kSZIkSZJUOpNOkiRJkiRJKp1JJ0mSJEmSJJXOpJMkSZIkSZJKZ9JJkiRJkiRJpZv0pFNEbBsRX4iIyyLikYhIEbHDZMchSZIkSZKkiTMVI512Bg4GHgB+NwX7lyRJkiRJ0gSbiqTTpSmlLVNKBwLfn4L9S5IkSZIkaYJNetIppbRysvcpSZIkSZKkyeVE4pIkSZIkSSrdGlMdwGhMv+02mDlz+IMHHwxHHAGPPAIHHjhypUMPzZd774WDDhpZ/s53wiGHwG23wZveNLL8qKPgla+E2bPh7W8fWf6hD8EBB8DVV8ORR44sP+kkeM5z2OD66+H440eWn3oqzJgBF10EJ5wwsvzMM2HXXeH88+HTnx5Z/q1vwXbbwXe/C6efPrL8Bz+AzTaDs87Kl1Y//zlMnw6nnQbf+97I8kbMp5wCF1wwvGyddeDCC/Ptj30MfvOb4eWbbgrnnZdvf/CDcNllw8u33RbOPjvfPvLIXIfNdtkFvvzlfPvww2HOnOHlM2bk+gN44xthwYJhxTtus81Qe3nta+G++4avv//+cNxx+fbLXgZLlgwvf8Ur4Oij8+3Wdgf9t71ly2DWLJh55PDyDm1vxuAgbLRRaW2PP/4Rjj12ZPkEtL1VscP4297AQL6ehLY3Y2BgKG4Yd9tj333h5JPz7QluezOOPHJ47FCZfq9r24Pq9nu92t4xx+TbFez3urW9GYOD+bHJ6PdKbnur+pYK9nvDtLS9YX0iVKrf69X2Zvz5z8Njr1C/163tTXvwwfbrV6Hf69X2oLr9Xpe2t8fKlXDppflOxfo9oGvbmzE4mLdZwX5vlTZtb1jfUrF+b4SWtjeiX+zW9q79PDz1qfl2r37vppvgoYeGf98use3tduKJI3/LdWp7V59axHz++Pq9O86BrbcZd9tb65572m+/XdtrxD7zyLH3e41tXM3Y297Vp7LaNlvn2xXs93p95u42bdpQnVes3wOGt71JUPmkU0QcDhwO8JRp0xgcHBxWfs+cOdwxMMBqjz7KU1vKAO668UbuGhhg2oMPskeb8ttnzWLhwABr3XMPu7Upv+2667hv/fVZ59Zb2bVN+S3XXMMDa6zBenPnsnOb8puuvJKHHnuMaUuWjIgdYO4VV7BocJCNr7mG7duUz/7Tn1hy551set11bNem/IbLLmPpvHlsPmsW27Qpn/WHP7Bsww3Z6sYb2apN+bWXXsrKtddm6zlz2KJN+aJFixgYGGC7efPYtKV8xZIlXFe8WbefP5+NW8qXrVzJrKJ8x1tvZcOW8qXTpnFDUb7zggWs11L+yB13MKco3+WOO5jeUr5owQLmFuW73X03a7Xuf/PNGSjK91i4kGkPPTSs/IH587mlKN/z/vtZfenSYeX3zZvHbUX5jDZ102/b22KT7dh02qwRr3+ntrdixQoGBwdLa3sbXH89O01S22vEDuNve1cXdT8ZbW+dprhh/G3vwVtvZf4ktb09WmKH6vR7XdveVltxzezZlez3erW9Rr9YxX6vW9tbsWIF8yep3yu77TX6lir2e81a296Klvdnlfq9Xm1vrZbYq9TvdWt7Sxctavt9qxL9Xo+2t2iTTbiuov1et7a3fPr0Vd+3qtbvQfe2t2LFCuZVtN9raNf2mvuWqvV7rVrbXmu/2K3tPXnNv3HvZpswMDC3Z7+30/QlrLXk/mHbLrPt7bx8+Yi+pVPb223aLIBxf+Zuv+5cFm+WuPTS68fV9pYvXty2X2zX9hqxj+czt7GNK65YMua2t9u0Wdy99TQGBv5WyX6v12fuso03XtUvVq3fg+Ftb1KklKbsAhwGJGCHfpbfZZddUl1dfPHFUx3CmNQ17pTqG3td406pvrHXNe6U6ht7XeNOqb6x1zXulOobe13jTqm+sdc17pTqG3td406pvrHXNe6U6ht7XeNOqb6x1zXulOobO3BFmoC8j3M6SZIkSZIkqXQmnSRJkiRJklS6KZnTKSIaM509o7h+WUQsBBamlC6ZipgkSZIkSZJUnqmaSPz7LfdPK64vAWZObiiSJEmSJEkq25QknVJKMRX7lSRJkiRJ0uRwTidJkiRJkiSVzqSTJEmSJEmSSmfSSZIkSZIkSaUz6SRJkiRJkqTSmXSSJEmSJElS6Uw6SZIkSZIkqXQmnSRJkiRJklQ6k06SJEmSJEkqnUknSZIkSZIklc6kkyRJkiRJkkpn0kmSJEmSJEmlM+kkSZIkSZKk0pl0kiRJkiRJUulMOkmSJEmSJKl0Jp0kSZIkSZJUOpNOkiRJkiRJKp1JJ0mSJEmSJJXOpJMkSZIkSZJKZ9JJkiRJkiRJpTPpJEmSJEmSpNKZdJIkSZIkSVLpTDpJkiRJkiSpdCadJEmSJEmSVDqTTpIkSZIkSSqdSSdJkiRJkiSVzqSTJEmSJEmSSmfSSZIkSZIkSaUz6SRJkiRJkqTSmXSSJEmSJElS6Uw6SZIkSZIkqXQmnSRJkiRJklQ6k06SJEmSJEkqXaSUpjqGvkXEw8DsqY5jjDYD7p3qIMagrnFDfWOva9xQ39jrGjfUN/a6xg31jb2ucUN9Y69r3FDf2OsaN9Q39rrGDfWNva5xQ31jr2vcUN/Y6xo31Df2XVNK65e90TXK3uAEm51S2nuqgxiLiLiijrHXNW6ob+x1jRvqG3td44b6xl7XuKG+sdc1bqhv7HWNG+obe13jhvrGXte4ob6x1zVuqG/sdY0b6ht7XeOG+sYeEVdMxHY9vE6SJEmSJEmlM+kkSZIkSZKk0tUt6fTlqQ5gHOoae13jhvrGXte4ob6x1zVuqG/sdY0b6ht7XeOG+sZe17ihvrHXNW6ob+x1jRvqG3td44b6xl7XuKG+sdc1bqhv7BMSd60mEpckSZIkSVI91G2kkyRJkiRJkmqg8kmniNguIn4QEQ9GxEMR8cOIeOJUx9UqIraNiC9ExGUR8UhEpIjYoc1ya0fEpyLizohYUiz/gikImYg4KCLOi4hbilhmR8TJEbF+y3IbR8RXI+LeiFgcERdFxJ5TEXNTTC+JiN9GxF0RsTQiFkTE9yJi95blKt9+IuIXRXs5oeXxStV7RMws4my9DLYsV6m4m+I6MCIujYhFRVu4IiJe1FReubgjYqBDnaeI+EXFY39uRPwqIu6JiIcj4sqIeGvLMpXpD1vi2i8ifl/EdH9EfCsitmyz3JTVe9mfORGxWkR8MCJujohHI+KaiHjtFMZ9UtF+7iuWObTLNt8WETcWnwWzI+IdZcfdb+wRsXdEfLmI55GIuDUizomIHdtsb1LqfBSxbx8RP4mh7wT3RsQlEXFgm+1Nynu33/bSss4HiuV+36asau28U/8+YyriHk3sxbK7RcT3i7bS+B753qmIvc82fnyXOn90KuLuN/ZiuSdGxDeKfmVJRMyJiBMiYt02y054vziKuHeM/F18MPJn5cURMeKsXpPYVkr9/ROT+F2mn9gjYv2IOCXyd8iHitdlZoftVabOI2L/iDg7IuYVy8yLiNMjYos226tanT8j8u+524t6vCsifh4R+7bZXl/tajLibrPOGUV7ObtN2fjqPKVU2QswHfg7cD3wGuDVwHXAPGDdqY6vJdaZwN3Az4FfAgnYoc1y5wCDwNuA/YEfAkuAGVMQ8+XA94B/B14IHFnEdjmwWrFMAL8HFgBvAF4KXALcC2w7hfX9BuBTwEFF7G8CZgEPAdvXpf0Uz+POor2c0PR45eq9aOMJeDewT9Nl7yrHXcT1dmAZ8FngxcBLgGOAV1Q87t1b6nof4L+K1+GIqsYOPLXo1y4u3ncvBs4s4n5n03KV6Q+bYnp+0VYuAA4s+pZbin5kraq0dUr+zAFOBJYCRwP7Fa/XSuDAKYr7YeB3wDeKZQ7tsL23FXGeWMR9QnH/nWXG3W/swCnAH4AjyJ9N/wbcANwHbDcVdT6K2PcAvla0+f2K9+4FxbL/OpZ2NVntpWn5nYBFxTq/b1NetXaegP9jZD8/vcptpVhub/J3rp+Sv2PtBxwO/HdV6xzYtk1d70/u879X5ToH1gXmAPOBNxcxvb943323ZdlJ6Rf7jHtT4HbgRuAQ4JXk7wYPA7tNUVsp9fcPk/hdps/YdwDuBy4Czitel5kdtlelOv8+cCHwlmKZw4q2cxOwXsXrfH/gi8Dri2VeB/wReAx4VtO2Ju27Yz9xtyz/XPLn54PA2W3Kx1Xnpb4oE/AivxdYAezc9NiOwHJaPtSm+tL84hVvknYd79OKx9/S9NgawGzgp1MQ8+ZtHvuPIsYXFfdfXdzfr2mZDcmd2eenut5bYt+1iPWoOrQfYGPgrqLTaU06Va7eGUo6HdBlmSrGvUPRKR5Zp7i7xPo18heETaoaO3AS+YO29UvCZcBlxe1K9YdNMVwEzAXWaHpsb5oSfVWo9zI/c4Atijb1vy3r/wa4drLjbl4O2JkOSafiudwDfKPl8a+Tv8BNm4I6b/e5uj35S/xHp6LOR1PvHer4NuD80barqYib/MP3TGCAlqRTRdv5sM/+DtuqXFshHynxN+BHVYl9HG38TcWyL694nf9z8fg/tzz+cfL32unF/UnrF/uM+0NFfP/U9Ni65GTV95oem8y2UtrvHyb5u0yfsUdT2QF0SDpVsM7bLfOCYpm3VrnOO6y3flG/X2h6bNK+O44mbmAa+c/VDwI305J0KqPOq3543auAy1NKcxsPpJTmk/9FfPWURdVGSmllH4u9ivxvyneb1lsOfAd4SUSsNUHhtZVSWtjm4b8U19sU168C7kgpXdy03oPA+VTsNSD/kwz5ww2q334+AVyfUvp2m7I61XuzKsb9VvIPvjO6LFPFuEeIiOnkf0/OTyndXzxcxdjXJPd1S1oef5Chw7or1R822Qf4dRFLI64ryP3LvzQtN6X1XvJnzkvIr1nrcOqzgT2jzaFhY9Vn3P0uty+wOSPj/hb53/XnjS668cfU7nM1pXQLsJChz1WYxDovYuir3tust5z8vl3e9PCkvXdHE3dE/BvwdPKX5nYq1877VMW2MhPYDfhMj+XqUOdvJidAftn0WBXrfM3i+qGWxwfJn6tR3J+0frHPuPcB/p5Smte03mLySNZXRMQaxcOT2VbK/P0zqd9l+ok9FRmBPlSqzvt8XaCCdd7BYnLSqfXzc1K+O44y7vcBq5NHa7cz7jqvetJpD3LWrdUs8mEndbMHMD+l9EjL47PIb/qdJz+kEV5YXN9QXHd7DZ4YEetNSlQdRMTqEbFmRDyJ/O/mXUAjiVPZ9hMRzyNnm9/VYZEq1/s5EbEi8lwr58bwObKqGPfzyMO6X18cH748IuZGRHPdVzHudv6F/M/JN5oeq2LsZxXXn4+IrSNio4hoDMf9bFFW1f5wBXmUVqulwFOa7lex3lv1W8d7kJ/f3DbLQXU/b/corltfh0rFHRG7kf9RvqHp4crWeTHHxxoRsVVEfBjYhXzYQEPl3rsRsTG5b3l/U0K+VVXr/J2R5915JPJclc9vKa9i3I3ExdoRcXlELIs8f9/nI2KdpuWqGPsqEbEd+ZCic5r/aKCacV9EnjLiExGxe0SsF3leyvcCZxSJHKhev9jtM3Ud4J+K+1Nd52P9/VOF/rA19n5Vrc77XaaydV58fk4rfhs1Pje/0rTIVH93HBF3ROxMHpF4REppWYf1xl3nVU86bQI80Obx+8mHJtVNt+fTKJ8yEbEN8FHgouKffegd81S/Dn8id5hzyPPIvCildE9RVsn2ExFrkhNkp6SUZndYrIr1/iDwafIQ6hcBHyMP272saZK/Ksa9NfAk8hxgHycPUf818MUYmvC0inG38x/kYfMXNj1WudhTSteT/wl/Nfl4/AeALwHvSCl9p1isqv3hbPI/s6tExPbAExgeU+XqvY1+63gTYLDNv6NT/Vr00oir9TlWJu7iX/wzyCOdvtZUVOU6/yT5H807yf9+vj6l9Jum8iq+dz9F/h5wVpdlqljnZ5Pn/zqAPB/SpsBvY/ikv1WMe+vi+rvAr8jz9n2S/P3g3Kblqhh7szeSfwt9o+XxysWdUnqUnOxbjfxD72HyYVAXAP+vadGq9YuzgSdFxKaNByJiNeBZLfFMWZ2P8/fPlPaHHWLvV9XqvHWZ9YFTyQmSHzcVVbnOv0dOst4CvJY8N9bfmsqn7Ltjl7hPB37YPPqqjXHX+Rq9FtA/hiKz+hPyEMC3THE4o/EmYAPy5KFHA7+OiOellG6e0qi6ez/5350TpzqQ0UgpXQVc1fTQJRFxKfBn4D3kLHkVrUYeHXRoSumHxWO/jXyGlQ9GxOenLLJRiIityT9MPtfyj2zlFCMPzyN/MX4H+TC7VwNnRMSjKaVzpjK+Hj4HnB35bJKfJ3+Qfpl8iGaZh8zoH8MXgeeQ54tp94Wtik4lD5nfipzoPjciDkopXTClUXVQjAz6D+DpozispBJSSm9quvu7iPgJ+V/wEyj58NCSNf60Pjul9OHi9kBErA58PCJ2SymNdtTFVPgP4KqU0rVTHUgvEbE2Ocm3Bfm7763kxM2Hyd/d3zl10XV1Bvk74jcj4j3AI8D/kOdYhSn+XK3x75/axt5P3MUfNt8mHwb23Kp87+0j9veTp0/Zjnw0ywURccAYEoKl6hR3RLwReCZ5XuQJVfWRTg/QPuPXKdtWdd2eDwxlCydVMRT6fHLi5iUppQVNxb1intLXIaV0Q0rpT8W8SPsD6wEfKIor136K4Zb/AxwHrFUcdrRRUdy4vzoVr/eGlNKV5H+Xn1k8VMW4G3N9/brl8V8BW5JHsFQx7lad/pGtYuwnkUdKvCKldEFK6TcppfeQ/wH6XPEvZyX7wyIhdgJwFHmej7+RR2v9nDzyo6GK9d6q3zp+ANgoIqLHclXTqOPW51iJuCPi4+TRK29NKf2qpbiydZ5SWpBSuqJ47x5MPtNN8zwPVXvvnkkeRbag6TN1DWD14n5jronK1nlDSulh4GcMfaZCNePu9rkKsFdxXcXYAYiIZwFPZuRnKlQz7v8kjyA+MKV0dkrp0pTSKeTPqndExNOK5SrVL6aUbiKfPesZ5MO47iDPO9U41L7xuTrpdV7S758p6Q97xN6vqtV5Y5nGd90DgNe0SQpXts5TSjellP5S/Mn9MvLRCSc0LTLp3x07xV0koj5DTpItbfr8XA2YVtyf1mfcPeu86kmnWQwdm9xsd/IPgbqZBewYeTLgZruTh+K1HlM74YrG9APy2ZkOTCld17JIt9fg1pTSogkOsW8ppUFyHTaOK61i+9kJWJs8pP6BpgvkkVoPAHtSo3ovNP5drmLcs3qUr6Sacbd6M3BNSumalserGPue5Fhbjw3/M/nwkS2oYH/YkFI6DtiMfMjuE1JKbyAfovn7psWqWO+t+q3jWcBaDM2t0bwcVPfztvHebn0dpjzuiPgf4BjgPSmlb7VZpE51fgXD52uo2nt3N/KIyubP1OeSD5N9gKERIHWq8+YRW1WMu5/P1cZyVYu94c3kP0fObVNWxbj3BB5onpC78OfierfiunL9YkrpPPKIld3JZ5R+BvlP4ttSSrcWi01qnZf4+2fS+8M+Yu9X1eq84QzgEEYe2t1QizpPKT0GXMvIz89J++7YI+7NyCcdOInhn5/bAQcXt1/eFPe46rzqSaefAvtExE6NB4pDYp5blNXN+eRTEr6u8UAxfPAQ4FcppaWTGUyRST6HPD/Pa1JKl7dZ7KfANhHxwqb1NgBeScVeg4jYkvyvVeMDuYrt52rypJWtF8iJqP3Ib9xa1HtE7E0ektn40lPFuH9UXL+k5fGXAgtSSndRzbhXKep5d9r/I1vF2O8CZhTzlzV7NvAo+R+RSvWHrVJKi1NK16WU7o6Il5L7luYzIFax3lv1W8e/IP/4+veW9d9IPsPm/EmIdSwuI58CvF3c95PPVDrpikNITgD+J6X0xQ6L1aLOi+8Jz2PocxWq995t95l6Dfkwtf3IX7ihBnVe9CGvYOgzFaoZ94Xk+TTbfa5CTlRCNWNvzK35euDC1P4MT1WM+y5g48iT/jZ7dnF9e3FdyX4xpbSiODphXjFdwCHkuWQaJq3OS/79M6n9YZ+x96tqdU5ENOaOfUtK6ccdNleLOi8SNHsz/PNz0r479hH3XbT//LybfOKC/Rj6s3XcdV71OZ2+Qp4c7ycR8SHyPz8fA24jD6eulIg4qLj5jOL6ZRGxEFiYUrokpXRVRHwXOLXIPM4n/wO3IyPf8JPhS+TGcyKwOCKaJ89dUAy/+yn5A+zsiHgfOev5QfKpWT85yfGuEhE/Aq4kZ5AfIp9d57/Ix6p+uliscu2nGI010Pp4MbL1lpTSQHG/cvUeEeeQ2+yV5FP07lXEdDt57huoZnv5OXAxcGZEbAbcRG73/8zQcc1VjLvZf5Dbdru5kKoY+xeB7wPnR8Rp5DmdXgW8Afhs8e9P1fpDACJiL/KQ6CuLh55Hnkz5kymlPzYtOuX1XtZnTkrpnoj4DHmOs4fJz/0Q8heVV0123MUyLyT/A7dVsczeEbGoiPcHxfWyiDgOOC0ibid/SXoR8Fbg3UU7m9TYI+L15DmRfkGeO675c/WhxoSik13nfcZ+PHmo/B/IX0a3Ih/S8yzg3xrbmezvMn2084E26wwCazSXVa2dR8TR5D9tLiYfcrQ9ecTzVkzh+7Of2FNK90XEycBxEfEQ8Fvyj6sPA99IKc2ditj76VsKryC39XZ/5FSyzsmT5P838POIOJE8p9Pe5Oka/kqRTJrsfrGPdj6N/Jl4Cfn7+h7kz8pZDH1fn+w6L+33zxT8tusndiLiZcC65BFyAC8svgMvTildWMReqTqPiGPIbfzrwN9bllnYGOVXxTqPiDPJSd0ryEnf7cm/QZ9AnoOtYTK/O/bTVgZaV4qIR4G7Wz4/x1/nKaVKX4AnkiekfYh8poYfAztMdVwdYk0dLgNNy6xDPn7yLvI//n8CZk5RvDd3ifn4puU2IXcA95MnAPwN8LQprutjyB+yg0VMs8mJpB1alqtF+ynq/ISWxypV7+RO8VryWeyWkZN3XyYfflTZuIuYNiB3vneTh4FeC/xb1eMu4ppGPvPV+V2WqVzs5MTNQBH7w+RRfkcAqzctU5n+sCmmPcj/7AySk2VXkv9xq1y9d+m/B0Zbx8Dq5JMB3EIewXAtcNAUxj3Qabk223s7eW65peRTih8xVXVO/mHY8/lNdp33GfuryMmDe4p4biF/QX5um21N2nu33/psWWcA+H2V2zn5n+0/kH+gLCPPk/RT4FlTGXe/dU7+kfTf5NHZjbM1fRSYVtU6b1ruJ0V9r9llW1Ws893JcyPeRv58mkOeb23jNtublH6xj3a+BvkMe3cXscwjjwSdPlV1Tsm/f5jc/rDf2Dstd3NV65wun/vAWVWuc3JS94/kfuXRop2fC+zZZnuT8t2x37bSYb2zy27nUWxEkiRJkiRJKk3V53SSJEmSJElSDZl0kiRJkiRJUulMOkmSJEmSJKl0Jp0kSZIkSZJUOpNOkiRJkiRJKp1JJ0mSJEmSJJXOpJMkSRq3iPhKRKSI+GyH8uOL8jUmKZ6Zxf5mjmHd10TEf5ccz4yiDjZpU5Yi4vgy9zdWRSyNy6ETsP1tW/ZxQNn7kCRJ1WHSSZIkjUtErAMcXNz9t8lKLE2g1wClJp2AGcBHgBFJJ2Bf4Ksl7288vkaO6WcTsO17im2/awK2LUmSKsakkyRJGq/XABsAPwe2AF46pdHUTErp8pTSgqmOo8mCIqaFZW84pfRYSuly4G9lb1uSJFWPSSdJkjRebwYeAA4FlhT3O9ktIi6OiEci4s6I+GhErPo+EhHrRcQXIuLWiFgaEfdExEUR8eSmZTaIiC9GxB3FMrMj4r8iIroFGRE3R8RZbR5fdXhbUf5mYJumQ8Bublp284g4IyJuL/Z9Y0Qc3mO/hwL/V9z9e9N2d2jdf3G/cSjikyPilxGxuKiPtxTlbyr2u6ioy39qs8/DI+KaiHg0Iu6NiK+1O7SvXxFxVkQsiIi9IuJ3xev394h4R8tyW0XEN5pemzsj4oKI2GKs+5YkSfVV9+HvkiRpCkXE1sABwFdSSgsj4sfAv0bEximlB9qs8mPg68DJwEuA44CVwPFF+WeBVwHHAn8HNgWeC2xU7G818mFfTwc+DFwHvBz4DLB5sd54fKzYzjOLOACWFvveAPg9sE4R7/ziOZweEWullL7QYZs/A04APgS8DmiMarqzRyzfB74CnAIcAXw9Ip4EzAQ+AEwDPgecCzy7sVJEfBw4Cvg88D5gm2L/T4mI56SUVvTYbycbFPs6Ffgo8Bbyc5+dUrq4WOZbwPbFfm8DtgT2B6aPcZ+SJKnGTDpJkqTxeCOwOvDN4v43gDcAhwBntFn+Kymljxe3f1Ukco6KiFNTSoPk+X7OSSl9rWmdHzXdPhB4HvCWlNJZTdtZt9jOZ1JK9471yaSU5kXEQqBxGFiz95ITKnumlP5ePHZRRGwEfCQiTk8pLW+zzYURMa+4e3VKaW6f4XwqpfRNgIi4Angl8HZgx5TSQ8XjTwA+FxHbp5RuKUZPvQ/435TSRxsbiog55ITZK8mJv7FYHziikWCKiEvJSbc3AI2k077AsSmlc5rW+/4Y9ydJkmrOw+skSdJ4vBn4e0rpsuL+RcAddD7E7nst978DrAc8pbj/F+DQiDg2IvaOiNVbln8BeWTUuS2Pnw2sSU56TJSXAn8C5kfEGo0L8EvyiKzdS97fhY0bxaixe4DLGwmnwo3F9XbF9YvJ3+/OaYnxT8DD5Pobq0eaRjSRUloKzAGe2LTMX4D3RcR7I2LPXoc8SpKkxzeTTpIkaUwiYm9youWHEbFRMeJnfeCHwD4RsUub1e7ucH+b4vrdwJnAW8kJjHsi4rMR0Tg8axPg/pTSYy3buaupfKJsQU7aLGu5NEbybFry/loPT3ysw2MAazfFCDCXkXGuP84Y2x0uubRp35BHuP0UeD9wLXB7RHy4ed4uSZL0j8PD6yRJ0lg1RjMdU1xa/Qd5HqNmWwI3tdwHuB0gpbQI+CDwwYjYHjgI+Dg5uXIMcD+wSUSs2ZJ42qq4vr9LvI+SR0OtEhGjScLcRx5t9N4O5bNHsa2Jcl9x/c+0TxLd1+ax0qSU7gHeBbwrInYlt5H/BRYCp0/kviVJUvX4r5MkSRq1iFiTPJfPn4D92lyuBt7U5vCqg1vuvx5YRJ4QfJiU0i0ppU8XZY3D7y4hf395Xcvi/05OTF1GZ7c0bafh5W2WW0qeLLzVL4AnA7emlK5oc3m4y76XFtfttlumX5MPP3xihxjnT/D+V0kpzU4pHUtOfrXWuyRJ+gfgSCdJkjQWLycfqnVUSmmgtTAiziSPbJnJ0CTTAG8rDrX6C3kS6sOA41NKDxbrXUY+POs6cjLqhcDTyBOUQ57n6PfAGRGxOTCLPLn4YcDJPSYR/w75DHCfBS4otntom+X+Rh5N9U7gCuDRlNJ15DPrHQL8rtjGbGBdciLq+SmlV3fZ99+K63dFxDfIh7td2+YwwXEpJkL/BPDFYqTRJeQRXtuR53v6avO8TGWKiA3Jc3qdQ55rahnwamBj4FcTsU9JklRtJp0kSdJYvJk8MXWnM5N9G/hMsVxzkuPVwBeA44AHgROAjzWVX0oeDfUB8veUm4D/Sil9HiCltDIiXg6cRD7cblPgZuC/gVN7xPwNcvLlP8lngfsd8C/k+Y+afRXYp9jHRuQRUjuklB6MiOcAHy72vQ0wSE4+nddtxymlayLieOBw4G3k0Vo7FrGXKqV0bETcQHGYG5CA24DfAH/vtu44PQpcSX5+25NHXM0G/j2l9JMJ3K8kSaqoSClNdQySJEmqgIhI5CTgR4EVaQK+KBZn03sheVTUi1NKF5W9D0mSVA3O6SRJkqRmx5EPjXtzrwVHKyK2LbZtokmSpH8AHl4nSZKkhmc23Z6IScfvbtlHFc74J0mSJoiH10mSJEmSJKl0Hl4nSZIkSZKk0pl0kiRJkiRJUulMOkmSJEmSJKl0Jp0kSZIkSZJUOpNOkiRJkiRJKp1JJ0mSJEmSJJXu/wMsv7qZO7MvSwAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 37.5), ('RE2', 37.5), ('FE2', 190.0), ('FE1', 192.5), ('RE1', 195.0), ('RE2', 195.0), ('FE2', 201.25), ('FE1', 202.5), ('RE2', 205.0), ('RE1', 206.25), ('FE2', 211.25), ('FE1', 212.5), ('RE1', 216.25), ('FE1', 220.0)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 37.5), ('RE2', 37.5), ('FE2', 190.0), ('FE1', 192.5), ('RE1', 195.0), ('RE2', 195.0), ('FE2', 201.25), ('FE1', 202.5), ('RE2', 205.0), ('RE1', 206.25), ('FE2', 211.25), ('FE1', 212.5), ('RE1', 216.25), ('FE1', 220.0)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 18.75), ('RE2', 18.75), ('FE2', 20.0), ('FE1', 25.0), ('RE1', 28.75), ('FE1', 33.75), ('RE1', 38.75), ('FE1', 41.25)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 25.0), ('RE3', 25.0), ('FE2', 428.75)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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gqkQppcUMPG7NcK3MwNu3dnv2VJaR7v+IWJPcewvgK6lBD5KU0p/oO8Wqfv7NivmfJl8RayC13gu7R8RonorT8DSziFidvh6YX0kpPV4/TUrpWuAXxdN3NVnHl1JKqcHrf2hWj5R79FxcPK1vY4NZpfR4mboPUFaep3wK0FEDzPs/pcf1Y03VltVs3eXyVeoLIo9hdii5Z9inBlnOkEXEK+m7stePU0qXtGrZrRAR+5FP/YPc9uYMMsvD5D9AHii99gBwGPlqfMNd/3+Tey4CfKrR5x850X8qOWGyakpp1ZSvELsVfYnrl5KvajdQz6XTyL33jkkp/WuY1byLfCrqC8lX1Kv1cH0FOfEN+fTwk4a5XGhB222hReR9u5C+004fB44GvjeK65XUIUwsSWp35R+tK5Ve/wGwYxrmJb5THsS09gPq9xHxuYh4WUQs15La9g10Wa88dsiapcdb0DdGzKVNlttTvUoQeVDoT0bEpZEH7X6yNOBv+UttswE6hxvb5qXnzX5QterH1mtSSjHA7eTaRBExKSL+LSJ+ExG3F6c1pNL2eGkx6VgPVjrQ9oW+bbxm3esvKu5Hre2U/G+T7Vu73VqafqT7f0f6Tn+qEl/t9KNJwD/qktTP3ugbl2dl8umho+EJ8mmujbyIvjgvGmAayKcCArygOL2qkb8N8Pq9xf2DTX5Y16ZZo0kdWq5InP68eHpQRHw18sUSpkbEVhFxBnl8rdo4PI2S25UVx/4zyO3kY6nxAMpVlrsNORm4HLnH3YdasdxWKU51+r/i6SU0OaW0JqX0qZRP9Vyb/H55HXnsnTPJ48A1+2Oifv370pfk/EFK6fQB1nlPSumQlNKlKaVHS6//M6X0UeDw4qUd6RtEvryed5PHqbuOCqfqpZT+mFI6JqV0Qy25nVJamvLprm+g74+VQyJimQuJTBQppW8W+3Zd8p9EO5NPpT4JuLoYS02SBmRiSVJbq/1gJR+vNiD/u9pL/gI52JhAAzmI3CtlHfK/cVcAj0bE5UXypf7H+3Dq++gAr5evilP+UbhO6fFAA9cCDCuBVlaMmfIP8pWVXlWs8yn6BiC+tzT5gD17KsRWHgC7Wf0XNClrqWKg2YuAHwF7kcetmUQ+vaG2LWo/YIfUy6mFGm7fQm0b1ycUau1nVNrOCI10/4/0vbFBcT+J5r2s1i7NU05et9IDA/T2g+Fvpyksm2AEBn6P0td+qrSxwZSX2Wz7lcvq6/EB+hKM/0nuofckeXyx95F/vNd6Vj40wPoH23e18vp1f4Y87tOvU0rnDrKMISmOuZeQ2/AcYPcm+2bMRcTO5O25InlMr7em5lduW0ZK6fGU0kXAruQLT7yUPAD8UNb/dvIxeBL5VMYPDGfddU4Gbi8ev61uPesV5UvJp0MPK8bBFO/pWmJrEvkzZThG2nZHRUppSUrpCuCN5DHqngf8sOiFKkkNmViSNCGk7O6U0mnA28ldtb8cEa8dZNZGy7qd3EvgjcDXyV+KJ5F7OHwZmFdluS3Q6BSWVvg/cu+bW8mnTq2V8qDV66Y8AHH5am6d/sXxf8jj8jxB/gG7Kfn0hrWKf2vXp6/n0ETaFqPVdtpFlfhqp7XdO4SeVo16XLXSqF0SvA2Uk34NrwxZV/ZIyleJe1aRdHkd+cqBvyaPNXUrOQn8XvIxv5ZMmzvA+putu1z+bH0jYkvyqW+PAZ+KiGn1t9L8yzV4bRlFUulP5FOt55J7Ut4zSN3GTJFU+j35tKqZwB71+2M4UkpPki88ALD3YH/MRMTbyAP6TyGPe7X/SBI+RXKn1lNvi7riL5J7IZ4OzG6wb5/tqVx6fVi9l1NK88hjTDVa/2BqbXGNYvD4gSzTdsdCcVrtycXTl5B7hUlSQyaWJE04KaUe8qWzA/hGlXFRUkrPpJT+kFL6REppJ/KPln8n//O5BnB2C0+Pa6Z8yeMNBpxq8B9NDUXExvSNFfSulNI5DcaxGPLpC8NUHlNnKD84x8L+xf3nUkonp5RubzAmzWhtj9FQaz8tbzstMNL9P9L3Ru3H/NoRMda9z4ajvJ2anX5ZK3ua3MOuXZSvZvX8AafqK/tHo8LimPzjlNLbUkpbpZQ2Tym9LuUreE0mj3EDfVfiq1//uhGxDg0UnxHbFE9nlYo2Iic4ViaP2fdog1vNEbXXinGxGq2nllTagJwce01K6e5G046HyFdZ/AN5nKqZwBta1JOq3NNuyybrfzt5vMCp5DGZ9mt1L6I6mxf3H6Hxvj2iNG3ttS+PYn3qDfe9M6vJNKNlSPtWkkwsSZqoPkfuBbAd+R/tEUkpPZpSOpu+LvnrsexlrUfDv8in9kEenHQgzcqa2bj0+NoBptm94rIHM5++H8CvaTLdWPYOq22PhtuiGPB5In15ro3bM6PJNM3KRtNI9/+19PVUmtFk/oHK/lLcT6ZvgOB2dA194wbt1mS62vv0+pTSU02mG2tz6TsV6Y2NJigSe7sWT/9YYR17kQdffoK+8ZhqLiw9brh+cm/U2sDHVdY/qCKp1ENOKs0lX4FxTHuYNFMklco9ld7YwtPzyj11Gi4zIt5B7qlUSyrt24p2HBGT6BsXb36zaUdDRDyXvtNph7v+y8ltGgZ+72wKbFs8HZW2O4hB960kgYklSRNUSukW8pdUgKObDGbbzxB6IT1RetzSQWIbKXrL1K729OGIWGbg3GJA0H0rruLh0uMX1hdGxCoMfCWmESliq13N7sMRsXb9NBGxHbDPaKx/ALXtscy2KHxxrCrSIrUrqr0qIl5RXxgRy9M3BsiYGun+L3rW/al4elij925EvIq+hEX9/P+kb2DvL0TEas3qO5Kx1UaiGCy6dtW2TxbjgPUTES+k7+qRPx6jqg1JsZ9rV9bbv0jO1vsoMI38Z8CPhrP8ohdS7ap+30op9RtjqRiM/PLi6WEDfBZ8uri/DbisNG/PYKdHlpZRHry+t66OtaRS+fS3dk0q/ZXcU+mRIc470JXWauXTgI8VT+8hjylVP83bgZ+Qk0q/ZBhJpSGM6/NxYJPi8a/LBSmlGYPs2/8tTVt7/dChrrsor1118xng/KHEVFrnY+QxpgA+MsAxqnaVwkepcOW9Zoawb6cAnyyePklOSEpSQyaWJE1kx5N7NGzG0Af/3CUiboiI/4yIbYt/O4lsF/JljSEPlHtDqys8gOPJCa31gD9GxI6lOr2W/KNzsMsRD+Rm+noTnBERL64VFGNt9DC6V4E6nvyFeG3gwojYqVh3RMTryZcarxpbFbUrgB0VEe+ofbGOiM0j4mxyAq9+cOB29lPy6REB/CIi3lo7NbS4is/5jO+pfSPd/58lv8efD/ymdtWliJhS9IA4l+b762Pky2hvBVxRbJ8VaoURsWFEHBARFwNfqhpkCxxFHjR+S+APEbFDUb9JEbEncAH5lK1byJdObzcnkJMKK5Ev+/5iyIn8iPgI8PliutNTSvVjJBERb4qIT0TEc0vtd6WIeCf5x+wW5AsuDHTlsk+Rk1YvBH4SERsWy1gzIk6hr8faf6eUWjreVeRxmmpjKs2hQk+liFg+Itau3chJuFrZ2nW3YX13j4iX05dU+gvD76l0TkR8OfLVU8vvnZUj4i3FMrcrXv5M/SD1EfFW+noqncvweypdGhFHRcT0ctKwaCtfo+9KbzcA3x/Gcodi04j4W0R8KCK2qCWaivfly8nHr7cX056WUmqUVDsz+q442shnyGN8PQc4r3SMWzkiPkO+YAnAsfVJ1WK6qXVtp5ycWqOu7dQnXb8REadGxIwojR1WtMfXksc4q/UoPaE+oSpJ/aSUvHnz5q2tbsAx5B+TaQjT/qqY9g5g+dLrMxoto/x6cXuSPPDmU6XXHgZ2rZtvs1L5ZgMtc5C61uaf0aBsn7o6PEL+spnISa4Di8eLK2zPN9ct+7HSsheRT79pWLcWxfYmYHFdbI8Xj+8iX/VpSPu7wbJnNFt3g+k3Jf8Ars3zFPlUxNrzI8jJtgQc02D+W4uyA1tYNmj9B6nTNsDdpeUsLsW0uNj/tbKXV9jGtXkXFduu2e0Xrd7/wKGleRM5kVRb3o2l8tkDzP+Kuu3zNPk9/3jdcr9TYdsMuF+K8gOL8luHsKz9gCWl+jxMTjjXnt8ObNvsPdBk2YPWg77jbs9wt0Mx/4uL7Vrez0+Wnv+B0jG6yT6ujSG1tPTapcCag6z/IPof5x4i9yKpPW+4j4bR/gfax2fU7bOm75FB9s9QbpsNs/6XlOZ9cJD6/b1JG0/FPnmoWE552y4hJ+0arf9fpekWDrL+RsePW+vaxgPkZHV5m1wBbFBh39bafMP3Dv0/92vH04X0P56log1MGWAZZzZbRzHNnvR9Jify8fvpuuXHAPPOGEbbmTFQ3Yr9+TD5Pfx03esnA5OqvH+8efPWPTd7LEma6L5Q3G8EfGgI0/+d3CvlVPLV4O4nD2S6GLiOPHDntimlP7e8pk2klM4BdiKPH7IQWB64F/ga+UostVO4eiss+3zgVeTLS/eSez7cT75a3ItTShePrPaDrv+35Kvw/YQ8UPFy5Ni+SY5t/miuv64ut5G38/fou8LOYnLPnjeklI4fq7q0SkppNvAC8hUObyX3XlpMPg3t5fSNNQQV2k/JyuRedc1uy5xONtL9n1I6mfzj6QLyj9oVyHEeS46vdrpK7wDz/4XcY+lw8mlQvcDq5B/JNwNnkQfuP7RZPUZbSumnwPbkHkm3kI8BT5OPS58Fnp9SunncKjiIlNLV5PqfRB64eir5x/LlwAfJVx9bMsDsFwLfII+r9RC5rd1LvtT5fuQfxE0HLE8pfRd4GXA2ecDhlcjt7VfAbimlY6pH11T5u/SqDP4eGWvl+q3RpF7rAY0GPz8MOJq8j24lf36sQk4uzQSOA7ZLKQ006HV5/WsPsv5Gp6MeDnyb/Hl9L7ltTCEnWn9JviDDK9LonHp4L7nX49nkQecfIR87niIP9n4G8MqU0vvTyK5sdwH5GP4d8jZegfw+uBDYp1h+qh7GgL5IPtXtfGAeOZG0GjnOqym+f6SUDk11PdEkqV6MznFKktRKEfEF4EjgkpRSswF+pX4i4nXkQV8XA6um9hr4ecQi4kfky9SfkVIa6imxkiRJahF7LElSm4s8eO1BxdPfN5tWKivGBKkN/npJByaVtgLeUTz1vSFJkjQOTCxJUhuIiI9HxKcjYsvSgNLLFwP3XgasSz5F7ozxrKfaT0S8JiJOjoidImLF4rUoBlA+j74xtAY6VaWtRcTnIuI/ImKT6Btsf+WI2I88aPIK5NNSfjWO1ZQkSepangonSW0gIk4GPlE8XUoeU2lV8lgSFM/fllLqGfPKqa1FxNvIY43UPASsSE64QE4qHZ5S+ioTUET8Cnhr8fQp8sC9q9P359id5Ctd3TTmlZMkSZKJJUlqBxGxI/Bu8iDbGwJrka+0M598NaWvpZTuHL8aql1FxPrkUyV3I1+WfR3ygNZ3AX8GvplSumr8ajgyEfFq8gDOu5Avyb0meVDoueRBZ7852MDOkiRJGj0mliRJkiRJklTJlMEnaR+rr7562nLLLce7GmPuscceY+WVVx7vaoy5boy7G2OG7oy7G2OG7oy7G2MG4+4m3RgzdGfc3RgzGHc36caYoTvj7saYoXncV1999f0ppXWqLHdCJZbWW289rrpqwvbmr6ynp4cZM2aMdzXGXDfG3Y0xQ3fG3Y0xQ3fG3Y0xg3F3k26MGboz7m6MGYy7m3RjzNCdcXdjzNA87oi4repyvSqcJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqZMp4V2A45s2bxtprj3ctxt5TT72CqVPHuxZjrxvj7saYoTvj7saYoTvj7saYwbi7STfGDN0ZdzfGDMbdTZrF/Nhj8OIXw+WXt369O+4ICxfCllu2ftlD0ds7ndVXX/b1efNgnXXg2mvHvEqaYCZUYmnVVZ9m//3HuxZj784772PDDTcc72qMuW6Muxtjhu6Muxtjhu6MuxtjBuPuJt0YM3Rn3N0YMxh3N2kW8y9/CQ8/PDrrXbgQFi0anWWPRDvWSe1pQiWW1l13Md/85njXYuz19PyTGTO666AO3Rl3N8YM3Rl3N8YM3Rl3N8YMxt1NujFm6M64uzFmMO5u0izmm24avfXWeir19IzeOprp6bmOGTNmLPN6g5ekhhxjSZIkSZIkSZWYWJIkSZIkSVIlJpYkSZIkSZJUiYklSZIkSZIkVWJiSZIkSZIkSZWYWJIkSZIkSVIlJpYkSZIkSZJUiYklSZIkSZIkVWJiSZIkSZIkSZWYWJIkSZIkSVIlJpYkSZIkSZJUiYklSZIkSZIkVWJiSZIkSZIkSZWYWJIkSZIkSVIlJpYkSZIkSZJUiYklSZIkSZIkVWJiSZIkSZIkSZWYWJIkSZIkSVIlJpYkSZIkSZJUiYklSZIkSZIkVWJiSZIkSZIkSZWYWJIkSZIkSVIlJpYkSZIkSZJUiYklSZIkSZIkVWJiSZIkSZIkSZWYWJIkSZIkSVIlJpYkSZIkSZJUiYklSZIkSZIkVWJiSZIkSZIkSZWYWJIkSZIkSVIlJpYkSZIkSZJUyZgnliLiDRFxSUTcExFLImJBRPwsIrYb67pIkiRJkiSpuinjsM41gauBU4CFwCbAp4ErImKHlNJt41AnSZIkSZIkDdOYJ5ZSSj8Gflx+LSL+BswG9gFOHOs6SZIkSZIkafjaZYylB4r7p8e1FpIkSZIkSRqycUssRcTkiFguIp4HnAbcQ11PJkmSJEmSJLWv8RhjqeZK4MXF43nAa1NK9zWbYaU77oAZM/q/uO++cMgh8PjjsOeey8504IH5dv/9sM8+y5Z/5COw335wxx1wwAHLlh92GOy1F8yZAx/60LLlRx0Fu+8O110Hhx66bPlxx8Euu8Bf/wpHHrls+cknw/TpcNFFcOyxy5afdlq+P+88OLHBWYI//CFsvDH89Kdw6qnLlp9zDqy9Npx5Zr7Vu+ACWGklOOUU+NnPli3v6cn3J5wA55/fv2zFFeF3v8uPP/95uPji/uVrrQXnnpsfH3EEzJzZv3yjjeCss/LjQw/N27Bkq2nT+vb3wQfD3Ln9558+PW8/gHe/GxYs6F++885w/PH58d57wwMP9C/fbTc4+uj8eI894Ikn+pe/+c1w+OH5cX27g1Fpe9N7e2H11XN5O7S9rbcek7Y3/fTT++KuGce2x1Zbwemn58ej1fZ23TU/bpO2188otr3pvb25PbRJ2xuL416/93U7tL0xOu5NP/TQZd/XE+Ezd6RtD9qm7fUzim1vem9vbk9t0vbG6rjX773dDm1vDI57m/7gB3DMMf3LJ8Jn7kjb3nbbtVXb62cU29703t78ehu0vbE67vV7X9e3vetq7eTQfN/KtlerW23ZMKbHvYaf2UcdBewOixbBjDcvO/9EP+7VjmVt0vb6Gc3jXv0xvEXGM7F0ALAqsAVwOHBhRLwypXRreaKIOBg4GOD5U6fS29vbbyH3zZ3LXT09TFq8mBfUlQHcM3s29/T0MPXhh9m+Qfmds2axsKeH5e+7j20blN9x4408sMoqrHj77WzdoPy266/noSlTmDZvHls2KP/XNdfwyJNPsupNN7FFg/J5V13Fot5e1rj+ejZtUD7nyitZtOaa3HjjjWzcoPzmmTNZcsstrDNrFhs2KJ/1l7/w1Gqrsf7s2azfoPyGyy7jmRVWYIO5c1m3Qfl1xcF+41tuYa268qVPPMGNRfmm8+ezRl35U888w6yifPPbb2e1uvIlU6dyc1G+5YIFTKuff4UV6CnKt7rrLlaqK1+0YAHzivJt772X5evKH779duYX5dsvXMjURx7pV/7Q/PncVpTv8OCDTF6ypF/5A7fcwh1F+fQG22Y02t7SpUufbePt0PaeuPtu1hqDtrdWKe6a8Wx7j991F3NHue0t2nFHenp62qbtlY1m21u6dClXtVHbG4vjXvl93Q5tb6yOe9s0eF9PhM/ckba9RZMnM7tN2l7ZaLa9pUuXclsbtb2xOu6V39vt0PbG4rj3nCefXOZ9PRE+c0fa9hZtsgmXXXZZ27S9stFse0uXLmVmm7S9sTruld/X9W1v26mzAJ4tb2Xb23bqnf2WDWN73NuywWf2bddfz9prb8PUKb303r/s/BP9uLdo0SJ6enrapu31q9soHvdqcbdapJRavtBhVyJideBW4CcppQ8PNN3WW2+d5syZM1bVahs9PT3MaPQPSofrxri7MWbozri7MWbozri7MWYw7m7SjTFDd8bdjTGDcXeTbowZujPubowZmscdEVenlHaqsty2GLw7pdRLPh1uy3GuiiRJkiRJkoaoLRJLEbEesA1wy3jXRZIkSZIkSUMz5mMsRcQvgWuAG4BHgK2A/wSeBhqM2iVJkiRJkqR2NB6Dd18B7AscBiwH3AH0AMfXD9wtSZIkSZKk9jXmiaWU0peAL431eiVJkiRJktRabTHGkiRJkiRJkiYeE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKmSKc0KI+KMYSwrpZQ+MML6SJIkSZIkaYJomlgCXgukIS5rqNNJkiRJkiSpAzRNLKWUNhujekiSJEmSJGmCcYwlSZIkSZIkVTKsxFJErBwRH4+IcyLiTxHxvOL1/SNim9GpoiRJkiRJktrRYGMsPSsiNgZ6gI2A2cDzgVWK4tcAuwMHtbh+kiRJkiRJalPD6bF0IrAE2Ap4MRClskuBXVtYL0mSJEmSJLW5IfdYAl4HHJxSui0iJteV3Qls2LpqSZIkSZIkqd0Np8fScsCjA5StBjw98upIkiRJkiRpohhOj6UbgL2B3zco2wO4uiU1qug974FFi+CQQ8azFqPj+uvX4OkuTNt1Y9zdGDN0Z9zdGDN0Z9zdGDMYdzfpxpihO+PuxpjBuOudcgpMmgTnnNP6de64IyxcCFtu2fplD0Vv73RWX71x2bx5sM46cO21rV/v3ntDSuP3W7Yb23g3xgyjF3eklIY2YcQ7gHOA7wFnAxcD7wGeBxwBvCWl1Cjp1DJbb711mjNnTsOyDTaAu+8ezbVLkiRJkqZMgaeeav1yN9oodxaYPr31yx6K3t5eVh8gs3TddTBtGixY0Pr1TpkCS5e2frnS8MTVKaWdqsw55B5LKaVfRMQhwBeB9xcv/4B8etx/jHZSaTAbbQTrrQff+MZ41mJ0XHvttey4447jXY0x141xd2PM0J1xd2PM0J1xd2PMYNzdpBtjhu6MuxtjBuOu97GPQUSDGVqg1lOpp2d0lj+Ynp7rmDFjRsOyAV5uiR12yPfj9Vu2G9t4N8YMzePedQSXYxvOqXCklL4dET8EdgbWBR4A/ppSGmjspTGz0kr5/pWvHN96jIann364I+MaTDfG3Y0xQ3fG3Y0xQ3fG3Y0xg3F3k26MGboz7m6MGYy73mqrjX1dOl1tm45XO+vGNt6NMcPoxT2sxBJASukx4KLWV0WSJEmSJEkTybASSxExCXgpsAmwQn15SukHLaqXJEmSJEmS2tyQE0sRsR3wK+C5QKOzahN5zCVJkiRJkiR1geH0WDqlmH5f4EZgyajUSJIkSZIkSRPCcBJLLwIOTCn9YrQqI0mSJEmSpIlj0jCmvR94crQqIkmSJEmSpIllOImlk4CPRsTk0aqMJEmSJEmSJo7hnAq3DrA18I+IuBB4sK48pZQ+27KaSZIkSZIkqa0NJ7F0VOnx8xqUJ8DEkiRJkiRJUpcYcmIppTSc0+YkSZIkSZLU4UwWSZIkSZIkqZLhnAr3rIhYF1ih/vWU0u0jrpEkSZIkSZImhCEnliJiVeBrwH7A8gNM5hXjJEmSJEmSusRweix9C9gb+B5wI7BkVGokSZIkSZKkCWE4iaU3Ap9MKX1rtCojSZIkSZKkiWO4g3fPGZVaSJIkSZIkacIZTmLpJ8Beo1URSZIkSZIkTSzDORXuj8DJEbEKcAHwYP0EKaVLWlUxSZIkSZIktbfhJJZ+XdxvDhxYej0BUdx7VThJkiRJkqQuMZzE0mtGrRaSJEmSJEmacIacWEopXTqaFZEkSZIkSdLEMtyrwkmSJEmSJEnA8E6FIyK2Bw4CtgZWqCtOKaXdWlUxSZIkSZIktbchJ5Yi4mXApcCtwPOAG4A1gE2ABcC8UaifJEmSJEmS2tRwToU7DvgFsD35KnAfSCltBuxOvhrcsS2vnSRJkiRJktrWcBJLLwDOAlLxfDJASukSclLp+NZWTZIkSZIkSe1sOIml5YDHUkrPAA8CzymVzQGe38qKSZIkSZIkqb0NJ7E0D9iweHwD8P6ImBQRk4D3Afe0unKSJEmSJElqX8O5Ktx5wAzgbPJ4S78FHgGWAtOAj7e6cpIkSZIkSWpfQ04spZSOKT2+KCJeDuwNrAT8PqX0x9ZXT5IkSZIkSe1qOD2W+kkpXQtc28K6SJIkSZIkaQIZzhhLIxYR+0TEuRFxW0Q8ERFzIuL4iFhlLOshSZIkSZKkkRtyYikilouIz0bE7Ih4PCKW1t2eHsJiDiePyXQk8EbgVOAjwIXFIOCSJEmSJEmaIIZzKtxXgI8CvwN+ASypsL69UkoLS88vjYgHge+TBwa/pMIyJUmSJEmSNA6Gk1jaB/hsSukLVVdWl1Sq+Xtxv2HV5UqSJEmSJGnsDSexNA2YOQp1eHVxf/NgE650xx0wY0b/F/fdFw45BJ5ZCjfcCDMO7V9+4IH5dv/9sM8+yy70Ix+B/faDO+6AAw5Ytvyww2CvvWDOHPjQh5YtP+oo2H13uO46OPTQZcuPOw522QX++lc48shly08+GaZPh4sugmOPXbb8tNPy/XnnwYknLlv+wx/CxhvDT38Kp566bPk558Daa8OZZ+ZbvQsugJVWglNOgZ/9bNnynp58f8IJcP75/ctWXBF+97v8+POfh4sv7l++1lpw7rn58RFHwMy65rPRRnDWWfnxoYfmbViy1bRpffv74INh7tz+80+fnrcfwLvfDQsW9C/feWc4/vj8eO+94YEH+pfvthscfXR+vMce8MQT/cvf/GY4/PD8uL7dQV/be/xx2HPPZcsrtL3pvb2w+uq5vB3a3tZbj0nbm3766X1x14xj22OrreD00/Pj0Wp7u+6aH7dJ2+tnFNve9N7e3B7apO2NxXGv3/u6HdreGB33ph966LLv64nwmTvStgdt0/b6GcW2N723N7enNml7Y3Xc6/feboe2NwbHvU1/8AM45pj+5RPhM3ekbW+77dqq7fUzim1vem9vfr2+7V13cr6fcWjr21552eNw3Ov3vq5ve9fV2smh+b6Vba9Wt/Jv2TE87jX8zJ4In7kjaXu1Y9kE+8wFRtb26o/hLTKcxNJ5wKto4elqEbEh8DngopTSVQNMczBwMMDzp06lt7e3X/l9c+dyV08P66y5GWtPnbVM+T2zZ3NPTw9TH36Y7evKAO6cNYuFPT0sf999bNug/I4bb+SBVVZhxdtvZ+sG5bddfz0PTZnCtHnz2LJB+b+uuYZHnnySVW+6iS0alM+76ioW9fayxvXXs2mD8jlXXsmiNdfkxhtvZOMG5TfPnMmSW25hnVmz2LBB+ay//IWnVluN9WfPZv0G5TdcdhnPrLACG8ydy7oNyq8rDvYb33ILa9WVL33iCW4syjedP5816sqfeuYZZhXlm99+O6vVlS+ZOpWbi/ItFyxgWv38K6xAT1G+1V13sVJd+aIFC5hXlG97770sX1f+8O23M78o337hQqY+8ki/8ofmz+e2onyHBx9k8pL+Z3c+cMst3FGUT2+wbWptb9LixbygQXmVtrd06dJn23A7tL0n7r6btcag7a1VirtmPNve43fdxdxRbnuLdtyRnp6etml7ZaPZ9pYuXcpVbdT2xuK4V35ft0PbG6vj3jYN3tcT4TN3pG1v0eTJzG6Ttlc2mm1v6dKl3NZGbW+sjnvl93Y7tL2xOO4958knl3lfT4TP3JG2vUWbbMJll13WNm2vbDTb3tKlS5nZoO1tO3UWAL29vS1ve+Vlj8dxr/y+rm975bpBa9vetlPv7LdsGNvj3pYNPrMnwmfuSNreokWL6OnpmXCfuTCytleLu9UipTRwYcQWpafrAD8AfgRcADxYP31K6V9DXnHENKAH2AB4aUppQfM5YOutt05z5swZ6io6Rk9PDzMa/YPS4box7m6MGboz7m6MGboz7m6MGYy7m3RjzNCdcXdjzGDc3aQbY4bujLsbY4bmcUfE1Smlnaosd7AeS/OAcuYpgGOAz9bXoZhu8lBWGhErkntAbQG8eihJJUmSJEmSJLWXwRJL76d/YmnEImIqcA6wE/C6lNKNrVy+JEmSJEmSxsZgiaUfAG8C5qeUbmo0QUTsAGyWUjpvsJVFxCTyqXSvBd6cUrpimPWVJEmSJElSm5g0SPm7gR8DjzWZ5lHg7Ih41xDW9y3gncCJwGMR8fLSbaMh1ViSJEmSJEltYSiJpf9LKc0faIKU0q3AGcB7h7C+PYr7/wFm1t0OGsL8kiRJkiRJahODnQr3IuAbQ1jORcC/DzZRSmmzISxLkiRJkiRJE8BgPZZWAR4awnIeKqaVJEmSJElSlxgssXQ/sOkQlrNJMa0kSZIkSZK6xGCJpcsZ2thJBxbTSpIkSZIkqUsMllg6GdgtIk6KiOXqCyNiakScDLwWOKn11ZMkSZIkSVK7ajp4d0ppZkQcBpwI/HtE/BG4rSjeFHgdsBZwWErpilGtqSRJkiRJktrKYFeFI6V0ckRcA3wKeDuwYlH0BNADfDGl9OdRq6EkSZIkSZLa0qCJJYCU0mXAZRExCVi7ePmBlNLSUauZJEmSJEmS2tqQEks1KaVngPtGqS6SJEmSJEmaQAYbvFuSJEmSJElqyMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKkSE0uSJEmSJEmqxMSSJEmSJEmSKjGxJEmSJEmSpEpMLEmSJEmSJKmSMU8sRcRGEfGNiJgZEY9HRIqIzca6HpIkSZIkSRqZ8eixtCWwL/AQ8OdxWL8kSZIkSZJaYDwSS5ellNZLKe0J/Hwc1i9JkiRJkqQWGPPEUkrpmbFepyRJkiRJklrPwbslSZIkSZJUyZTxrsBwrHTHHTBjRv8X990XDjkEHn8c9txz2ZkOPDDf7r8f9tln2fKPfAT22w/uuAMOOGDZ8sMOg732gjlz4EMfWrb8qKNg993huuvg0EOXLT/uONhlF/jrX+HII5ctP/lkmD4dLroIjj122fLTTsv3550HJ564bPkPfwgbbww//Smceuqy5eecA2uvDWeemW/1LrgAVloJTjkFfvazZct7evL9CSfA+ef3L1txRfjd7/Ljz38eLr64f/laa8G55+bHRxwBM2f2L99oIzjrrPz40EPzNizZatq0vv198MEwd27/+adPz9sP4N3vhgUL+pfvvDMcf3x+vPfe8MAD/ct32w2OPjo/3mMPeOKJ/uVvfjMcfnh+XN/uYFTa3vTeXlh99VzeDm1v663HpO1NP/30vrhrxrHtsdVWcPrp+fFotb1dd82P26Tt9TOKbW96b29uD23S9sbiuNfvfd0ObW+MjnvTDz102ff1RPjMHWnbg7Zpe/2MYtub3tub21ObtL2xOu71e2+3Q9sbg+Pepj/4ARxzTP/yifCZO9K2t912bdX2+hnFtje9tze/3gZtb6yOe/3e1+3Q9sbouNfwM3sifOaOpO3VjmVt0vb6Gc22V38Mb5G2TyxFxMHAwQDPnzqV3t7efuX3zZ3LXT09TFq8mBfUlQHcM3s29/T0MPXhh9m+Qfmds2axsKeH5e+7j20blN9x4408sMoqrHj77WzdoPy266/noSlTmDZvHls2KP/XNdfwyJNPsupNN7FFg/J5V13Fot5e1rj+ejZtUD7nyitZtOaa3HjjjWzcoPzmmTNZcsstrDNrFhs2KJ/1l7/w1Gqrsf7s2azfoPyGyy7jmRVWYIO5c1m3Qfl1xcF+41tuYa268qVPPMGNRfmm8+ezRl35U888w6yifPPbb2e1uvIlU6dyc1G+5YIFTKuff4UV6CnKt7rrLlaqK1+0YAHzivJt772X5evKH779duYX5dsvXMjURx7pV/7Q/PncVpTv8OCDTF6ypF/5A7fcwh1F+fQG22Y02t7SpUufbePt0PaeuPtu1hqDtrdWKe6a8Wx7j991F3NHue0t2nFHenp62qbtlY1m21u6dClXtVHbG4vjXvl93Q5tb6yOe9s0eF9PhM/ckba9RZMnM7tN2l7ZaLa9pUuXclsbtb2xOu6V39vt0PbG4rj3nCefXOZ9PRE+c0fa9hZtsgmXXXZZ27S9stFse0uXLmVmm7S9sTruld/X7dD2xuq4t2WDz+yJ8Jk7kra3aNEienp62qbt9avbKLa9WtytFimlli90yCuPOAj4DrB5SunWwabfeuut05w5c0a9Xu2mp6eHGY2y2B2uG+PuxpihO+PuxpihO+PuxpjBuLtJN8YM3Rl3N8YMxt1NujFm6M64uzFmaB53RFydUtqpynIdY0mSJEmSJEmVmFiSJEmSJElSJeMyxlJE1EYXe3Fxv0dELAQWppQuHY86SZIkSZIkaXjGa/Dun9c9P6W4vxSYMbZVkSRJkiRJUhXjklhKKcV4rFeSJEmSJEmt4xhLkiRJkiRJqsTEkiRJkiRJkioxsSRJkiRJkqRKTCxJkiRJkiSpEhNLkiRJkiRJqsTEkiRJkiRJkioxsSRJkiRJkqRKTCxJkiRJkiSpEhNLkiRJkiRJqsTEkiRJkiRJkioxsSRJkiRJkqRKTCxJkiRJkiSpEhNLkiRJkiRJqsTEkiRJkiRJkioxsSRJkiRJkqRKTCxJkiRJkiSpEhNLkiRJkiRJqsTEkiRJkiRJkioxsSRJkiRJkqRKTCxJkiRJkiSpEhNLkiRJkiRJqsTEkiRJkiRJkioxsSRJkiRJkqRKTCxJkiRJkiSpEhNLkiRJkiRJqsTEkiRJkiRJkioxsSRJkiRJkqRKTCxJkiRJkiSpEhNLkiRJkiRJqsTEkiRJkiRJkioxsSRJkiRJkqRKTCxJkiRJkiSpkkgpjXcdhiwiHgXmjHc9xsHawP3jXYlx0I1xd2PM0J1xd2PM0J1xd2PMYNzdpBtjhu6MuxtjBuPuJt0YM3Rn3N0YMzSPe9OU0jpVFjqlen3GxZyU0k7jXYmxFhFXGXd36MaYoTvj7saYoTvj7saYwbjHux5jqRtjhu6MuxtjBuMe73qMpW6MGboz7m6MGUYvbk+FkyRJkiRJUiUmliRJkiRJklTJREssnT7eFRgnxt09ujFm6M64uzFm6M64uzFmMO5u0o0xQ3fG3Y0xg3F3k26MGboz7m6MGUYp7gk1eLckSZIkSZLax0TrsSRJkiRJkqQ20faJpYjYOCLOiYiHI+KRiPhFRGwy3vVqpYjYKCK+EREzI+LxiEgRsVmD6VaIiK9ExN0R8UQx/avGocojFhH7RMS5EXFbEcuciDg+Ilapm26NiPhuRNwfEY9FxEURscN41XskIuINEXFJRNwTEUsiYkFE/CwitqubrqPbfET8vmjjx9a93kn7ekYRY/2tt266jom5LCL2jIjLImJR0YaviojXlso7Ku6I6Blgf6eI+H1puk6L+xUR8ceIuC8iHo2IayLi/XXTdMznVk1EvCYiLi/ieTAifhgR6zWYbkLu71Z/J4mISRFxRETcGhGLI+L6iNh7TIIZomHEfFzR5h8opjmwyTI/GBGzi8/7ORHx4dGMoYqhxB0RO0XE6UUsj0fE7RHxo4jYvMHy2n5fw5Dj3jQifh1931Pvj4hLI2LPBstr++PcUNt43TyfLqa7vEFZx+zrYrqBPsOn103X9nEPZ19HxLYR8fOifdd+j32ibpq2jxmG/L4+psm+Xlw3bdvHPYz2vUlEfL84fj8REXMj4tiIWLnBtJU/u9o6sRQRKwGXANsA7wUOAJ4H/KnRhpjAtgT2BR4C/txkuu8BHwQ+A7wZuBv4Q/1Bb4I4HFgKHAm8ETgV+AhwYURMAoiIAM4ryj8G7A1MJe//jcaj0iO0JnA18B/A64EjgO2BKyJiU+j8Nh8R7wJe2OD1TtvXNR8Hdi7ddq8VdGrMEfEh4Nfktv524J3Az4GVivJOjPsQ+u/nnYH/Ksp+A50Xd0S8ALiIHMMHgXcAfwe+FxEfKU3aSZ9bRMSuwB+BXvI+/ATwKuDiiFi+NN1E3t+t/k7yeeAY4JvAHsAVwM+jwQ/0cTTUmD8GrAic32xhEfFB4DTgXHIb+DlwSt17ox0MJe79yd9Vvk7ef58GXgRcFREb1007EfY1DC3uacD9wFHAnsAHgEeB30bEO+qmnQjHuaG2cQAiYgty7PcNMEkn7euaM1n2s3xu3TQTIe4hxRwROwFXAssDB5Hb+YnA5LpJJ0LMMLS4v8uy+3h34GmK72slEyHuQWMufj9eRP6ucjR5P38XOAw4o27akX12pZTa9kb+wrYU2LL02ubknf9f412/FsY5qfT4ICABm9VN88Li9feVXpsCzAF+M94xVIh5nQavvaeI8bXF87cWz19TmmY14EHg6+MdQ4u2w9ZFjIcVzzu2zQNrAPcA7ypiPrZU1lH7GphRxLN7k2k6Kuai/psBTwCHdlPcA8T5PWAJsGYnxg0cBzwJTKt7fSYws3jcUZ9bRf0vAuYBU0qv7VTEeUjptQm7v1v5nQRYt3gf/G/d/BcDN4x3rMOJuTwd+ct8Ag5sMM0U8o/x79e9fgY5UTF1vOMd5r5u9H1tU+AZ4HMTbV8PZ38PsG/vAM4rvTYhjnPDjRn4A/kHZg9weV1Zx+1r6r6XDrCsCRH3EN/Xk4B/AL/shJiHs68bzHdAMe2bJlrcQ9zXry9ef33d618k/75cqXg+4s+utu6xBLwFuCKlNK/2QkppPvAX8pe2jpBSemYIk70FeAr4aWm+p4GfAG8o/1M6EaSUFjZ4+e/F/YbF/VuAu1JKfyrN9zD5X+BO2f8PFPdPF/ed3Oa/BNyUUvpxg7Ju2Nf1OjHm95N/bHy7yTSdGHc/Rc/Dd5J/fDxYvNxpcS9H/kx6ou71h+nrDd1Rn1uFlwMXFnEAkFK6inwsf3tpugm7v1v8neQN5LZyVt38ZwE7RIPTqcbDEGMe6nQ7A+uwbMw/BNYCXjm82o2eocTT6PtaSuk2YCF939dgguxrGPr+bjDf0+Rj3NOllyfEcW44MUfEv5F7pR0xwCQdv68HMCHiHmLMM4Btga8OMt2EiBlGtK/fC9xLTqbWTIi4hxjzcsX9I3Wv95K/r0XxfMSfXe2eWNoeuKnB67OA7Rq83sm2B+anlB6ve30WucFsOfZVarlXF/c3F/fN9v8mETFtTGrVYhExOSKWi4jnkf8NugeoJVs6ss1HxCvJPdI+OsAkHbmvgR9FxNLI43GcHf3HyurEmF8JzAb2j4hbIuLpiJgXEeX93olx13s7sArw/dJrnRb3mcX91yNig4hYvehCvRtwUlHWiZ9bS8k9teotAZ5fet5p+7veUPft9uRtM6/BdDCBP9ea2L64r9//HRNzRGxL/kf/5tLLHbmvi3FWpkTE+hHxGWAr8qkxNR11nIuINcjH8P8u/TFSryP3NfCRYlyZxyOPibprXXknxV1LEqwQEVdExFORx0v8ekSsWJquk2JeRnE672uAH5X/MKKz4r4I+CfwpYjYLiKmRR739BPAt1NKjxXTjfizq90TS2uSzxms9yD5tJpu0mxb1MonrIjYEPgccFHx7y8MHvNEbQNXkg9Wc4EXkE/9q53D3nFtPiKWIyfQTkgpzRlgsk7b1w+Tz1M/CHgt+Tzt3YGZEbFuMU2nxQywAXlMsK+Qu9i+HrgQ+Gb0DQbZiXHXew+5O/HvSq91VNwppZvI/3i+FbiTHNu3gA+nlH5STNaJn1tzyL2WnlWMkfcc+sfTUfu7gaHu2zWB3lT0p28yXSepxVS/fToi5oiYQu6VupB8ym9Np+7rL5N7JN0NfBLYP6V0cam8045zXyF/Pz2zyTSduK/PIo+XuDtwMLmHxiURMaM0TSfFvUFx/1PyuIGvI7f1g4CzS9N1UsyNvJucD/l+3esdE3dKaTE5kTiJnCR6lHxK3/nkcX9rRvzZNWVENZVaoPjn9tfkrsXvG+fqjIUDgFWBLciDmF8YEa9MKd06rrUaPf9NHuz0C+NdkbGSUroWuLb00qURcRnwN/KA3keNS8VG3yRyT50DU0q/KF67pLhCxRER8fVxq9kYiYgNyF9Mv1b371dHKXpcnkv+kvJh8ilxbwW+HRGLU0o/Gs/6jaKvAWdFvqrl18lftE4nnwLaylMupHb1TWAX8ngkjRIqneZk8mlt65P/NDg7IvZJKTUdwH0iKnrovAd4UYMf1B0tpXRA6emfI+LX5J4bx9JGp6+2UK1zyVkppc8Uj3siYjLwxYjYNqV08wDzdpL3ANemlG4Y74qMlohYgZxAXJf8G/R24KXkiw08Tb54Vku0e4+lh2j8r95A/w50smbbAvqyiRNK0d3yPHKS5Q0ppQWl4sFinpBtIKV0c0rpymKsod3IVx75dFHcUW2+OPXrf8hXIVi+OF1m9aK49nwyHbqvy1JK15D/BXxJ8VInxlwbM+zCutf/CKxH7tXRiXGXDfTvV6fFfRz5X/w3p5TOTyldnFL6OPAz4GvF1T077nOrSJgdS76ayr3kwU/vBC4g92io6bT9XW+o+/YhYPXiKnnNpusktX1bv30mfMwR8UVyb473p5T+WFfckfs6pbQgpXRVcZzbl3xlqBNKk3TSce40ci+0BaXva1OAycXz2nhRHbmvy1JKjwK/pe87G3RW3M2+rwHsWNx3Usz9RMRLyVfhrv++Bp0V9wfIPcz3TCmdlVK6LKV0Avl7zIcj4oXFdCP+7Gr3xNIs+s73K9uO/GWum8wCNi8GhS3bjjzeQ/05oG0vIqYC55CvqLNnSunGukma7f/bU0qLRrmKoy6l1Eved7Vz8DutzW8BrEDuYvxQ6Qa5t9ZDwA50wb4uqf0L2Ikxzxqk/Bk6M+6y9wLXp5Sur3u90+LegRznU3Wv/418CsG6dODnFkBK6WhgbfKpzM9JKb2LfAro5aXJOm1/1xvqvp1FvpT1cxtMBxPzc20wteNg/f6f0DFHxP8AnwI+nlL6YYNJumVfX0X/cZM66Ti3LbkHavn72ivIp/8+RF/Phm7Z19D3nQ06K+6hfF+rTdcpMdd7L/kPsrMblHVS3DsAD6WUbql7/W/F/bbF/Yg/u9o9sfQb4OURsUXtheKUilcUZd3kPGAq+UpDwLPnue8H/DGltGS8KlZF8W/2j8jjz7wtpXRFg8l+A2wYEa8uzbcqsBcdsv8jYj1ytrz2Zu+0Nn8deVC8+hvkZNNryF+6umFf7wRsTd+BvBNj/mVx/4a6198ILEgp3UNnxg08u4+3o/G/X50W9z3A9GIMtbKXAYvJ/2x11OdWWUrpsZTSjSmleyPijeTjePlqiJ22v+sNdd/+nvzF/d/r5n83+Sqh88egrmNtJvnSzI1ifpB8ldcJJSI+Tu6p9z8ppW8OMFnH7+viu+sr6fvOBp11nGv0fe168ilhryH/GQzdsa9XBd5M33c26Ky4f0ce77XR9zXICVTorJifVXx32R/43QBXKu+kuO8B1oiI+gsJvKy4v7O4H/FnV7uPsfQd8qBSv46Io8hZ488Dd5C7a3aMiNinePji4n6PiFgILEwpXZpSujYifgqcXPT0mU/+52Bzlm0AE8G3yB/CXwAei4jyYKgLilPifkNu5GdFxCfJ/5YcQb4s4pfHuL4jFhG/BK4BbiBf8nEr4D/J57eeWEzWUW2+6JHVU/960bP0tpRST/G80/b1j8jv0WvIl/PckRzPneRxWaDD2nfhAuBPwGkRsTbwL/L7/PX0jZ/WiXHXvIf8fm40vlCnxf1N4OfAeRFxCnmMpbcA7wJOSik9CXTa5xYRsSOwB/m9DflH5ieBL6eU/lqadELv71Z9J0kp3RcRXyWPsfYoebvtR/5T6S1jFM6QDBZzMc2ryZdjXr+YZqeIWASQUjqnuH8qIo4GTomIO8lX5Hkt8H7gY8V7o20MFndE7E8eZ+j35DHzyt/XHkkp/QMm1r6GIcV9DPkUkL+Qf5itTz6l5KXAv9WWM5G+nw/hfd3TYJ5eYEq5rAP39eHkP/7+BNwFbEruVb8+HXo8Syk9EBHHA0dHxCPAJeQzSD4DfD+lNA8mVswwtON44c3k93ejPwInVNxDiPlM4L+ACyLiC+QxlnYiD1NyNUXCqCWfXSmltr4Bm5AHCH2EPIr5r4DNxrteoxBnGuDWU5pmReCr5A+4xeSri80Y77pXjPfWJjEfU5puTeAMcqb0cfIo9i8c7/pXjPlTxRu4t4hlDjlZtFnddB3f5ov9fGzda520r48gJxAfJv/jcQd5gN/ndGrMpZhWJSeO7yWfBnAD8G9dEPdU8lWSzmsyTUfFTU6w9BRxP0ruoXgIMLk0Tcd8bhXxbE8+5a2XnEy7Bnhfp+3vJp/PPcPdt8Bk8gULbiP/Q34DsM94x1gx5p6BpmuwvA+Rx9VbQr7U8yHjHWOVuMk/SgbdNhNpXw8x7reQf2zfV8RyGzlh/IoGy5oQx7mh7se6eXqAyxu83kn7ei/yj+v7yd/ZHij29UsnatxDPJ4FOeEwj/x97TbyFbqnTsSYhxp3Md2vi/28XJNlTYi4h7ivtyOPgXkH+bvLXPJYcWs0WF7lz64oFiBJkiRJkiQNS7uPsSRJkiRJkqQ2ZWJJkiRJkiRJlZhYkiRJkiRJUiUmliRJkiRJklSJiSVJkiRJkiRVYmJJkiRJkiRJlZhYkiRJIxYR34mIFBEnDVB+TFE+ZYzqM6NY34wK874tIv6rxfWZXmyDNRuUpYg4ppXrq6qoS+124Cgsf6O6deze6nVIkqSxZWJJkiSNSESsCOxbPP23sUoejaK3AS1NLAHTgc8CyySWgJ2B77Z4fSPxPXKdfjsKy76vWPZHR2HZkiRpHJhYkiRJI/U2YFXgAmBd4I3jWpsJJqV0RUppwXjXo2RBUaeFrV5wSunJlNIVwD9avWxJkjQ+TCxJkqSRei/wEHAg8ETxfCDbRsSfIuLxiLg7Ij4XEc9+H4mIaRHxjYi4PSKWRMR9EXFRRGxTmmbViPhmRNxVTDMnIv4zIqJZJSPi1og4s8Hrz56KVpS/F9iwdLrWraVp14mIb0fEncW6Z0fEwYOs90Dg/4qn/ywtd7P69RfPa6cNbhMRf4iIx4rt8b6i/IBivYuKbfncBus8OCKuj4jFEXF/RHyv0Wl4QxURZ0bEgojYMSL+XOy/f0bEh+umWz8ivl/aN3dHxPkRsW7VdUuSpPY20buqS5KkcRQRGwC7A99JKS2MiF8B74iINVJKDzWY5VfAGcDxwBuAo4FngGOK8pOAtwBHAv8E1gJeAaxerG8S+RStFwGfAW4E3gR8FVinmG8kPl8s5yVFPQCWFOteFbgcWLGo7/wihlMjYvmU0jcGWOZvgWOBo4B3ArXeSXcPUpefA98BTgAOAc6IiOcBM4BPA1OBrwFnAy+rzRQRXwQOA74OfBLYsFj/8yNil5TS0kHWO5BVi3WdDHwOeB859jkppT8V0/wQ2LRY7x3AesBuwEoV1ylJktqciSVJkjQS7wYmAz8onn8feBewH/DtBtN/J6X0xeLxH4tkzWERcXJKqZc8/s6PUkrfK83zy9LjPYFXAu9LKZ1ZWs7KxXK+mlK6v2owKaVbImIhUDtlq+wT5KTJDimlfxavXRQRqwOfjYhTU0pPN1jmwoi4pXh6XUpp3hCr85WU0g8AIuIqYC/gQ8DmKaVHitefA3wtIjZNKd1W9IL6JPC/KaXP1RYUEXPJSbG9yMm9KlYBDqklkSLiMnJi7V1ALbG0M3BkSulHpfl+XnF9kiRpAvBUOEmSNBLvBf6ZUppZPL8IuIuBT4f7Wd3znwDTgOcXz/8OHBgRR0bEThExuW76V5F7OJ1d9/pZwHLkxMZoeSNwJTA/IqbUbsAfyD2rtmvx+n5Xe1D0/roPuKKWVCrMLu43Lu5fR/5+96O6Ol4JPEreflU9XuqZREppCTAX2KQ0zd+BT0bEJyJih8FOT5QkSROfiSVJklRJROxETqb8IiJWL3rurAL8Anh5RGzVYLZ7B3i+YXH/MeA04P3kJMV9EXFSRNROpVoTeDCl9GTdcu4plY+WdcmJmafqbrUeOWu1eH31pxI+OcBrACuU6ggwj2XrucoI69jo1MYlpXVD7qn2G+C/gRuAOyPiM+VxtCRJUmfxVDhJklRVrVfSp4pbvfeQxxUqWw/4V91zgDsBUkqLgCOAIyJiU2Af4IvkBMqngAeBNSNiubrk0vrF/YNN6ruY3KvpWRExnETLA+ReQ58YoHzOMJY1Wh4o7l9P40TQAw1ea5mU0n3AR4GPRsTW5Dbyv8BC4NTRXLckSRof/nskSZKGLSKWI4+tcyXwmga364ADGpwKtW/d8/2BReRBuPtJKd2WUjqxKKudKncp+fvLO+sm/3dy8mkmA7uttJyaNzWYbgl5gO56vwe2AW5PKV3V4PZok3UvKe4bLbeVLiSfKrjJAHWcP8rrf1ZKaU5K6Uhygqt+u0uSpA5hjyVJklTFm8inVR2WUuqpL4yI08g9VGbQN7AzwAeL06L+Th74+SDgmJTSw8V8M8mnUt1ITji9GngheVBwyOMOXQ58OyLWAWaRB/Q+CDh+kIG7f0K+stpJwPnFcg9sMN0/yL2iPgJcBSxOKd1IvmLdfsCfi2XMAVYmJ5t2TSm9tcm6/1HcfzQivk8+Ne2GBqf0jUgx+PiXgG8WPYYuJffU2pg8/tJ3y+MktVJErEYeY+tH5LGfngLeCqwB/HE01ilJksafiSVJklTFe8mDQQ90xa8fA18tpisnMt4KfAM4GngYOBb4fKn8MnKvpk+Tv6f8C/jPlNLXAVJKz0TEm4DjyKfGrQXcCvwXcPIgdf4+OcHyAfLV1f4MvJ08HlHZd4GXF+tYndzTabOU0sMRsQvwmWLdGwK95ATTuc1WnFK6PiKOAQ4GPkjudbV5UfeWSikdGRE3U5ySBiTgDuBi4J/N5h2hxcA15Pg2JfecmgP8e0rp16O4XkmSNI4ipTTedZAkSVIbiIhETvR9DliaRuGLYnGVuleTeze9LqV0UavXIUmSxo5jLEmSJKnsaPJpbO8dbMLhioiNimWbTJIkqUN4KpwkSZJqXlJ6PBoDfd9bt452uJKeJEkaAU+FkyRJkiRJUiWeCidJkiRJkqRKTCxJkiRJkiSpEhNLkiRJkiRJqsTEkiRJkiRJkioxsSRJkiRJkqRKTCxJkiRJkiSpkv8Hd23kGTMUH+MAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 1.25), ('FE2', 141.234375), ('RE2', 144.984375), ('FE2', 151.234375), ('FE3', 151.234375), ('RE2', 154.984375), ('RE3', 154.984375), ('FE3', 161.234375)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 23.75), ('RE3', 23.75), ('FE2', 249.984375), ('FE3', 249.984375), ('RE2', 253.734375), ('FE2', 261.234375), ('RE2', 264.984375), ('FE2', 269.984375)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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nH82gr1Xdc2qK31g8XptS+mNNGSn3UVH3FubDtDH1929leOrf6dEe/4jYgtz6CvIPlgEtQFK+RfSA7S7m36mY/0nyHaXq+V7xeGBEtPJSotLLwCJiIn0tKD+fUhpwW/GU0s3AT4uXb26wjs+llFLJ+N82qkfKrRJ+X7ysjbHBTKh6Xu+W6LVl1fNUX6JzWp15P1r1vLavp8qyGq27unxCbUHkPsROJLfs+vAgyxmyiHgpfXfG+mFK6epmLbsZIuJo8qV5kGNvdqPpyR0030e+A1fFEuAk8h29BvNgMf9DVePuAt5PvnyyTC/5/fsi+u5YN5582enFxTQHAz8cwvqHa/Oq558lfza8KKU0IeWWky+m6JSa3CL0hcNc/mhjd7TzX1E87ky+lLifonXj+6tGlfazJmlsMHEkqdtV/ygdXzX+e8Dz0jBvgZ1yJ6GVH0i/iYhPRsSLImL9ptQ29y9Sprrvji2qnu9CXx8t9b44Q27ZMGKRO13+UERcE7lT7JVVHepWf+ls1DnpcLdt56rXjX4wNevH1P4ppagznFOZKCLWiYi3RMQvI2JB0YFwqtoflS//7b79cL39C337eIua8c8vHlsWO1X+p8H+rQx3Vk0/2uP/PPouTxrJ9lUuD1oH+HtNEvqpgb6+QTYmX77ZCsvIl6GWeT5923lVg2VcWTw+p7j8qcxf64y/r3h8MKX0z0Gm2bxOeUsUidGfFC+PjYgvRL4ZwbiI2C0ivk3u36rSn1RZ8nrEinP/t8lx8r5U3kHxSJa7OznZtz65xdy7m7HcZomIlwHfKV5eTYNLPitSSh9O+VLMSeT3y0HkfokuIPfD1uiPB1JKbynm34KchDiC3MLzZ9S5DDPlzsc/lFL6ayWpmrJbU0pvou/ytkMj4pW1849S9e+k5cBrU0pPvcdSSteTY3MZua/Ej7Jm+Q59f0qcHxHviYgtI2KD4jLh35H/YHuymKap7z1JaxYTR5K6WuUHKfl89XTyv6O95Lv4DNYnTz3Hkv853Ar4GHAd8GhE/KlIrtT+OB9OfR+tM/7JqpfVP/q2qnper2NYgGElyKoVfZb8nXxnopcX63yCvg5+76uavG7LnBFsW3UH043qv6hBWVMVHbleBfwAOIzcb8w69P0TXt3h8ZBaKTVR6f4tVPZxbcKgEj8tiZ1RGu3xH+174+nF4zo0biU1qWqe6uR0My2p01oPhr+f1mNgAhGo/x6lL35GEmODqV5mo/1XXVZbj/+kL4H43+QfsyvJ/Xu9g9yqsdIy8qGaeSvLGuzYVcpr1/1xcr9Lv0hNumtWcc69mhzDs4EDGxybtouIfcn7cyNyn1qvrzmPDyql9HhK6SrgZeQbO7yQ3MH6UOd/NKX0U3KrnYXku+udPpw6FE6lr3Pvw0cwfyPVx+yiVNJ5e0ppIblvMYADhtlqcbSxO6r5U0qPkRNfd5E/784jX3a4nBwXLyZfStpbzFL73pM0hpg4krRGKP5hvCeldD7w7+Tr7f93JP8wppQWkP/lfw35VrM3ks+HLyEnV+a24J/LIVWtRcv9Drn1zJ3kS5u2TLlT6K1T7uC3+m5orepktFt8lNwvzjLyD9QdgQ1TSlsW/4RvS1/LnzVpX7QqdrrFSLav8gPuviG0lCprMdVMLbvdeheo/jFdemfFmrJHUr7L2lOKpMpB5MtlfkHu6+lOcpL37eRzfiVZNqfO+hutu7r8qfpGxK7kS9MeAz4cEZvUDlXzr18yboAiafQHckuNOeSWkPcOUre2KZJGvyFftjQdOLj2eAxHSmkluWN/gCOG+8dL0cKr0vLpXQ0mrTf/Uvo6j95luPMPojqRe0fdqfruSjbcVouVWNw8Gt/qfkDs1rweduxXpJT+Tu5H70Pk1pvzye+/HwOvIPcBN7GYvPa9J2kMMXEkaY2TUuoh3xo3gK+MpF+SlNLqlNJvU0ofSCntQ/5R8lZyJ52bAxc18fK1RhZXPX963akG/2JYKiJ2oK+vnjenlC4p6Uep4eUFo1Ddp81QflC2w5uKx0+mlM5JKS0o6ROmVfujFSrx0/TYaYLRHv/RvjcqP9YnRb6tdreq3k+NLo+slD1JbiHXLarvBtXo7lKVstJbfxfn5B+mlA5PKe2WUto5pXRQSul75CTgc4tJa+9YV1n/1pFv7T5A8Rmxe/FyZlXR9uQWXBuT+8x7tGSoOKUyruiXqmw9laTR08k/vvdPKd1TNm0nFJcf/ZZ8mdh04NVNaglVnWDZdRTzbxoRWzecsr1uG+J01X8yDCfJPdz3zsya8aOJ/acUrb/OSintn1LapXj/HZ1yv3nPJb9HYOB7T9IYYuJI0prqk+R/8fck/yM9KsUXp4vIl0xAvoSlHbee/Sd9zcCnNpiuUVkjO1Q9v7nONAeOcNmDmU/fD9z9G0zXztZdlf1Rui+KDpVH8sOnUyr95kxtME2jslYa7fG/mb4fYVMbzF+v7M/F47rkznO71U309R1yQIPpKu/TW1NKTzSYrt3mkBPukFtxDlAk7l5WvPzdCNZxGLAZuaXgT2rKrqx6Xrp+cmvSSsfAI1n/oIqkUQ85aTSHfAfDRpdYtlWRNKpuafSaJl4+V93SZyTLrJ5/WK2fihZglcTK/EbTDldKaS75MxpgjwaT7lk8PkL/jsMH8ydyTEP9986OVeuujd12xP7bisfrU0q2OJLGMBNHktZIKaV59N1R5WMNOovtZwitiJZVPW95R5BFa5fK3ZLeExEDOqaNiGcBR41wFQ9XPX9ubWFETKD+nYxGpdi2yt3g3hMRk2qniYg9gSNbsf46KvtjwL4ofLZdFWmSyh3JXh4RL6ktjIgNgJPbW6VstMe/aBn3h+LlSWXv3Yh4OX0Jidr5/0Ffx9mfjojNGtV3NH2bjUZxqU7lrmcfKvrh6icinkvf3RdbcfeoESuOc+XOdG8qkq+13gtsQk72/2A4yy9aUlTuivd/KaV+/awUnX3/qXh5Up3Pgo8Uj3cB11bN2zPY5YtVy6juHL63po6VpFH15WndmjT6C7ml0SNDnHe9Qco3Ad5XvLyX3KfTcObfltyPFcBTHWBXlQ92yfAZwIbF8180mnCELige3xIRA1o+Fq16K3c6vKJBX2YDFH0MVfrVOr7OOapyl79Hqblz3Whifygi4sXA8cXLM4Yzr6S1j4kjSWuyM8ktEnair6XQYPaLiNsi4r8jYo+IWAfyl9Piy/V5xXSLGHoz9dE6k5yw2gb4XUQ8r6pOryT/qBzsdrv13EFfa4BvR8QLKgVFXxc9tPYuSmeSv/BOAq6MiH2KdUdEvIp8K+6RbttIVO6gdVpEvKHyoyYido6Ii8gJujWpA9CLyZcfBPDTiHh95dLNiJgMXE5nL70b7fH/BPk9/mzgl0USlYhYLyLeQP7R1eh4vY/cgmE34Lpi/1R+ZBIR20XEMRHxe+BzI93IJjiN3Cn7rsBvI2Lvon7rRMQh5Ntmr0e+g9X5HatlfWeRkwbjgV9VzjMRsX5EHA98qpju62WtFiLitRHxgYh4ZlX8jo+IN5Jbx+xCvqFBvTt/fZiclHou8KOI2K5YxhYRcS59Lc7+X0qpqf1NFf0kVfo0ms0IWhpFvovVpMpATrJVyibVDMP67l78+K8kjf7M8FsaXRIR/xv57qPV752NI+J1xTIrLW4+XpI4+VNEfDwinlud2IiIiRHxVvLx3Zr8Pi87vn+v83m9d0RcCHygmO7XRWfdZftgUs3+rdikpqysk+kvkJMuldiu3HWT4vnl5E7Gl5FbQteu+4Lou2NnmY+T+9h6GvnOcpVz3MYR8XHyDUEAzqhNmhZGFfvF++4tEbFN1bitI+IkcoumceT37eV16i9prEgpOTg4OHTVQL6zSqL4M3uQaX9eTLsQ2KBq/NSyZVSPL4aV5LuIPFE17mHgZTXz7VRVvlO9ZQ5S18r8U0vKjqypwyPkL5OJnMSaVjxfPoL9eWjNsh+rWvZS8uUxpXVr0ra9lnyXlupte7x4fjf53+YhHe+SZU9ttO6S6Xck/8CtzPME+VLByutTyMm0BJxeMv+dRdm0JpYNWv9B6rQ7cE/VcpZXbdPy4vhXyl48gn1cmXdpse8aDT9t9vEHTqyaN5ETRZXlzagqn1Vn/pfU7J8nye/5x2uW+40R7Ju6x6Uon1aU3zmEZR0NrKiqz8PkH6OV1wuAPRq9Bxose9B60Hfe7Rnufijmf0GxX6uP88qq17+l6hzd4BhX+nBaVTXuGmCLQdZ/LP3Pcw+RW41WXpceo2HEf71j/O2aY9bwPTLI8RnKsNMw63911bwPDlK/vzWI8VQck4eK5VTv2xXkxETZ+u+sObZL6H/OTeTk8jGD7P9E3+d17Xv3V8CEIRzDwYZ6x3h38udwdX0frXl9aJ15L6hM16B+h9D3mZyK/fNk1etvA9GK2KfvO1Qin28ernq9mnwDkXVG8t5xcHBYuwZbHEla0326eNweePcQpv8buVXJeeS7qT1A7ih0OXAL+a5qe6TcKWTbpJQuAfYh99+xGNiAfGv4LwHPo+8Sq94RLPty4OXkL9e95JYLD5DvZPOClNLvR1f7Qdf/K/Jd7H5E7gh4ffK2fZW8bfNbuf6autxF3s/fou8OM8vJ/xq/OqV0Zrvq0iwppVnAc8hf8O8ktz5aTr5M7MX09fUDI4ifKhvT+Lb221Bym/jRHv+U0jnk5MgV5B9EG5K38wzy9lUuZemtM/+fyS2OTiZfqtFLvkvQKnKLvAvJHeOf2KgerZZSuhjYi9yiaB75HPAk+bz0CeDZKaVGd3bqqJTSjeT6f5HcMfQ48o/hP5HvlnVwSmlFndmvBL5C7tfqIXKs3Qf8kpxQm5oGdupfu/5vAi8i3xr9X+QWIveTfxgfkFI6feRb11D1d+lNGfw90m7V9du8Qb22Aco6WD4J+Bj5GN1J/vyYQE4eTQc+A+yZUvrfOut/O/lz+lpy8mVDcgud+8kJwY8Cu6WUvl9n/uPIn1W3FevclJzUmEe+bPOQlNJrU/P6axqgOMfuRW5RVGmJvC65hdmXye/NEbfISSldQT6Hf4O8jzckvw+uBI5MKb0zpZQazD+a2D+ffLOR2eTE3Prkfp2+A+yXUnp/Gsbld5LWXtHgPCRJ6hIR8WngVODqlFKjDnSlfiLiIHKnqMuBTVN3daw8ahHxA/Jt3L+dUhrqJauSJEkaIlscSVKXi9w57LHFy980mlaqVnQsW+lc9eq1MGm0G/CG4qXvDUmSpBYwcSRJXSAi3h8RH4mIXas6bN6g6Bj3WnLnoYvJfR1IT4mI/SPinIjYJyI2KsZF0UHxZfT1YVXvUpKuFhGfjIj/iohnVHWOu3FEHE3ulHhDYBY1dxySJElSc3ipmiR1gYg4h767w6wi92m0Kbk/CYrXh6eUetpeOXW1iDgc+FnVqIfIfYhU7oCUgJNTSl9oc9WaIiJ+Dry+ePkEuSPaifT9+fUv8p2ibm975SRJksYAE0eS1AUi4nnA28idWG8HbEm+U8188t2IvpRS+lfnaqhuFRHbki9lPIB82/KtyB1G3w38EfhqSumGztVwdCLiFeQOkvcj37J6C3Kny3PInZp/dbCOkyVJkjRyJo4kSZIkSZJUar3BJ+keEydOTLvuumunq6Ex5LHHHmPjjTfudDU0hhhzaifjTe1mzKndjDm1k/GmdmtmzN14440PpJS2KitboxJH22yzDTfcsMa2ttcaqKenh6lTp3a6GhpDjDm1k/GmdjPm1G7GnNrJeFO7NTPmIuKuemXeVU2SJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSrU9cRQRr46IqyPi3ohYERGLIuLHEbFnu+siSZIkSZKk+tbrwDq3AG4EzgUWA88APgJcFxF7p5Tu6kCdJEmSJEmSVKPtiaOU0g+BH1aPi4i/ArOAI4Gz210nSZIkSZIkDdQtfRwtKR6f7GgtJEmSJEmS9JSOJY4iYt2IWD8ingWcD9xLTUskSZIkSZIkdU4n+jiquB54QfF8LvDKlNL9jWYYv3AhTJ3af+RRR8EJJ8Djj8Mhhwycadq0PDzwABx55MDy44+Ho4+GhQvhmGMGlp90Ehx2GMyeDe9+98Dy006DAw+EW26BE08cWP6Zz8B++8Ff/gKnnjqw/JxzYMoUuOoqOOOMgeXnnw+TJ8Nll8HZJVfxff/7sMMOcPHFcN55A8svuQQmTYILLshDrSuugPHj4dxz4cc/Hlje05MfzzoLLr+8f9lGG8Gvf52ff+pT8Pvf9y/fcku49NL8/JRTYPr0/uXbbw8XXpifn3hi3ofVdtsNvv71/Py442DOnP7lU6bk/QfwtrfBokX9y/fdF848Mz8/4ghYsqR/+QEHwMc+lp8ffDAsW9a//NBDYZ998vPauANjz9jLz5sce1N6e/MyTz45jzD2BpYbe/l5E2Jvyj33wMSJfeWHHmrsGXud+8w19oy9FsTejrvs0hdTxt7AcmMvP29S7E3p7e37XPW8Z+xB62OvTTqZODoG2BTYBTgZuDIiXppSurN6oog4DjgO4NnjxtHb29tvIffPmcPdPT2ss3w5z6kpA7h31izu7elh3MMPs1dJ+b9mzmRxTw8b3H8/e5SUL5wxgyUTJrDRggVMLim/69ZbeWi99dhk7lx2LSn/50038cjKlWx6++3sUlI+94YbWNrby+a33sqOJeWzr7+eZffcw5YzZrBDSfkd06ezYt48tpo5k+1Kymf++c88sdlmbDtrFtuWlN927bWs3nBDnj5nDluXlN9SvKF2mDePLWvKVy1bxoyifMf589m8pvyJ1auZWZTvvGABm9WUrxg3jjuK8l0XLWKTmvLH776bOUX5bnffzfia8qWLFjG3KN/jvvvYoKb84QULmF+U77V4MeMeeaRf+UPz53NXUb73gw+y7ooV/cqXzJvH0t13p6enJ38I1DD2jD1ofuytWrWKefPmsbAoN/YGlht7ubwZsceqVf0+V5cYe8YerY29pUuXsqTOZ66xZ+y1IvZWrlxJzyDf94w9Y69Zsbeq6nN1KL81jD1jb7Sxt3Tp0qfOca0UKaWWr2TQSkRMBO4EfpRSek+96SZPnpxmz57drmpJ9PT0MLXsHwCpRYw5tZPxpnYz5tRuxpzayXhTuzUz5iLixpTSPmVlXdE5dkqpl3y52q4drookSZIkSZIKXZE4iohtgN2BeZ2uiyRJkiRJkrK293EUET8DbgJuAx4BdgP+G3gSKOkVS5IkSZIkSZ3Qic6xrwOOAk4C1gcWAj3AmbUdY0uSJEmSJKlz2p44Sil9Dvhcu9crSZIkSZKk4emKPo4kSZIkSZLUfUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVGq9RoUR8e1hLCullP5zlPWRJEmSJElSl2iYOAJeCaQhLmuo00mSJEmSJGkN0DBxlFLaqU31kCRJkiRJUpexjyNJkiRJkiSVGlbiKCI2joj3R8QlEfGHiHhWMf5NEbF7a6ooSZIkSZKkThisj6OnRMQOQA+wPTALeDYwoSjeHzgQOLbJ9ZMkSZIkSVKHDKfF0dnACmA34AVAVJVdA7ysifWSJEmSJElShw25xRFwEHBcSumuiFi3puxfwHbNq5YkSZIkSZI6bTgtjtYHHq1Tthnw5OirI0mSJEmSpG4xnBZHtwFHAL8pKTsYuLEpNZKkKs97HixeDLvu2umatEdv7xQmTux0LQaaOxe22gpuvrnTNWm9sRRz3RpvMHZibizFG3RvzI2VeANjbqTGUoxIUq3hJI4+D1wSEQAXFeP2jIjXA/8JvK7JdZMkFi+GpUs7XQuNpWNgzHWHsXIMjLfuMJaOgTE3Mu4zSWPZkBNHKaWfRsQJwGeBdxajv0e+fO2/UkplLZEkaVQq/4j29HS0Gm3T03MLU6dO7XQ1BujCKrXMWIq5bo03GDsxN5biDbo35rqwSi1jzI3MWIoRSao1nBZHpJS+FhHfB/YFtgaWAH9JKdXr+0iSJEmSJElrqGEljgBSSo8BV7WgLpIkSZIkSeoiw0ocRcQ6wAuBZwAb1panlL7XpHpJkiRJkiSpw4acOIqIPYGfA88EomSSRO7zSJIkSZIkSWuB4bQ4OreY/ihgBrCiJTWSJEmSJElSVxhO4uj5wLSU0k9bVRlJkiRJkiR1j3WGMe0DwMpWVUSSJEmSJEndZTiJoy8C742IdVtVGUmSJEmSJHWP4VyqthUwGfh7RFwJPFhTnlJKn2hazSRJkiRJktRRw0kcnVb1/Fkl5QkwcSRJkiRJkrSWGHLiKKU0nMvaJEmSJEmStIYzGSRJkiRJkqRSw7lU7SkRsTWwYe34lNKCUddIkiRJkiRJXWHIiaOI2BT4EnA0sEGdybzjmiRJkiRJ0lpiOC2O/g84AvgWMANY0ZIaSZIkSZIkqSsMJ3H0GuBDKaX/a1VlJEmSJEmS1D2G2zn27JbUQpIkSZIkSV1nOImjHwGHtaoikiRJkiRJ6i7DuVTtd8A5ETEBuAJ4sHaClNLVzaqYJEmSJEmSOms4iaNfFI87A9OqxicgikfvqiZJkiRJkrSWGE7iaP+W1UKSJEmSJEldZ8iJo5TSNa2siCRJkiRJkrrLcO+qJkmSJEmSpDFiOJeqERF7AccCk4ENa4pTSumAZlVMkiRJkiRJnTXkxFFEvAi4BrgTeBZwG7A58AxgETC3BfWTJEmSJElShwznUrXPAD8F9iLfRe0/U0o7AQeS76Z2RtNrJ0mSJEmSpI4ZTuLoOcCFQCperwuQUrqanDQ6s7lVkyRJkiRJUicNJ3G0PvBYSmk18CDwtKqy2cCzm1kxSZIkSZIkddZwEkdzge2K57cB74yIdSJiHeAdwL3NrpwkSZIkSZI6Zzh3VbsMmApcRO7v6FfAI8AqYBPg/c2unCRJkiRJkjpnyImjlNLpVc+viogXA0cA44HfpJR+1/zqSZIkSZIkqVOG0+Kon5TSzcDNTayLJEmSJEmSushw+jgatYg4MiIujYi7ImJZRMyOiDMjYkI76yFJkiRJkqTBDTlxFBHrR8QnImJWRDweEatqhieHsJiTyX0inQq8BjgPOB64suhkW5IkSZIkSV1iOJeqfR54L/Br4KfAihGs77CU0uKq19dExIPAd8kdb189gmVKkiRJkiSpBYaTODoS+ERK6dMjXVlN0qjib8XjdiNdriRJkiRJkppvOImjTYDpLajDK4rHOwabcPzChTB1av+RRx0FJ5wAjz8OhxwycKZp0/LwwANw5JEDy48/Ho4+GhYuhGOOGVh+0klw2GEweza8+90Dy087DQ48EG65BU48cWD5Zz4D++0Hf/kLnHrqwPJzzoEpU+Cqq+CMMwaWn38+TJ4Ml10GZ589sPz734cddoCLL4bzzhtYfsklMGkSXHBBHmpdcQWMHw/nngs//vHA8p6e/HjWWXD55f3LNtoIfv3r/PxTn4Lf/75/+ZZbwqWX5uennALTa8Jn++3hwgvz8xNPzPuw2m67wde/np8fdxzMmdO/fMqUvP8A3vY2WLSof/m++8KZZ+bnRxwBS5b0Lz/gAPjYx/Lzgw+GZcv6lx96KOyzT35eG3dg7LUr9hYuzMduatU2rsWxN6W3Ny/z5JPziG6JvVuK7Z164tofe/TkhzFw3ptyzz0wcWJf+aGHdk/s3VK8L6rf+2tj7FW/t8b6Z24nY2/JJbDlpLHxmXvLfnlc9XtrLY69HXfZpS+mRhN7q1fBbTP67zfw+56/NfLzIvam9Pb2fa52+3nP2MuPa3rstclwEkeXAS+niZeTRcR2wCeBq1JKN9SZ5jjgOIBnjxtHb29vv/L758zh7p4e1lm+nOfUlAHcO2sW9/b0MO7hh9mrpPxfM2eyuKeHDe6/nz1KyhfOmMGSCRPYaMECJpeU33XrrTy03npsMncuu5aU//Omm3hk5Uo2vf12dikpn3vDDSzt7WXzW29lx5Ly2ddfz7J77mHLGTPYoaT8junTWTFvHlvNnMl2JeUz//xnnthsM7adNYttS8pvu/ZaVm+4IU+fM4etS8pvKd5QO8ybx5Y15auWLWNGUb7j/PlsXlP+xOrVzCzKd16wgM1qyleMG8cdRfmuixaxSU3543ffzZyifLe772Z8TfnSRYuYW5Tvcd99bFBT/vCCBcwvyvdavJhxjzzSr/yh+fO5qyjf+8EHWXdF/6svl8ybx9Ldd6enpyd/CNQw9toTeztvvJoNH7mn33t/bY69VatWMW/ePBYW5d0Se3uMmwlAb2/vWh97k3bNH87zxsB5j1Wr+r23lnRR7O0xbl2AfvVbG2Ov+r01Fj5zly5dypI6n7mdjL3tN/0nyyct5/rrr1/rP3P3GLcZ0P+9tTbH3sqVK+kZ5PveUGJvqy12YtK4mQN+i/h9z98a0Bd7q6o+V4fyW6NbPnONvf7la1LsLV269KlzXCtFSql+YcQuVS+3Ar4H/AC4AniwdvqU0j+HvOKITch/6z4deGFKaVHjOWDy5Mlp9uzZQ12FNGo9PT1MLfsHQGoRY07tZLyp3Yw5tZsxp3Yy3tRuzYy5iLgxpbRPWdlgLY7mAtWZpQBOBz5Ru45iunWHWKGNyC2YdgFeMZSkkSRJkiRJktprsMTRO+mfOBq1iBgHXALsAxyUUprRzOVLkiRJkiSpOQZLHH0PeC0wP6V0e9kEEbE3sFNK6bLBVhYR65AvdXslcGhK6bph1leSJEmSJEltss4g5W8Dfgg81mCaR4GLIuLNQ1jf/wFvBM4GHouIF1cN2w+pxpIkSZIkSWqLoSSOvpNSml9vgpTSncC3gbcPYX0HF48fBabXDMcOYX5JkiRJkiS1yWCXqj0f+MoQlnMV8NbBJkop7TSEZUmSJEmSJKkLDNbiaALw0BCW81AxrSRJkiRJktYSgyWOHgB2HMJynlFMK0mSJEmSpLXEYImjPzG0voumFdNKkiRJkiRpLTFY4ugc4ICI+GJErF9bGBHjIuIc4JXAF5tfPUmSJEmSJHVKw86xU0rTI+Ik4GzgrRHxO+CuonhH4CBgS+CklNJ1La2pJEmSJEmS2mqwu6qRUjonIm4CPgz8O7BRUbQM6AE+m1L6Y8tqKEmSJEmSpI4YNHEEkFK6Frg2ItYBJhWjl6SUVrWsZpIkSZIkSeqoISWOKlJKq4H7W1QXSZIkSZIkdZHBOseWJEmSJEnSGGXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklRqvU5XQJLa6XnPg8WLYdddO12Tcr29U5g4sdO1aK25c/PjkUfCOed0tCqluj1GmmksxBvkmNtqK7j55k7XZKCxFG9gzHUDY25kuvmYSlKrmTiSNKYsXgxLl3a6FmNbt+9/Y2Tt083H03hbO3XzMTXmRsZ9JmksM3EkaUyp/MPa09PRatTV03MLU6dO7XQ1Wqqyed3Y2gi6P0aaaSzEG/TFXDcaS/EGxlw3MOZGppuPqSS1mn0cSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSrV9sRRRGwfEV+JiOkR8XhEpIjYqd31kCRJkiRJUmOdaHG0K3AU8BDwxw6sX5IkSZIkSUPQicTRtSmlbVJKhwA/6cD6JUmSJEmSNARtTxyllFa3e52SJEmSJEkaPjvHliRJkiRJUqn1Ol2B4Ri/cCFMndp/5FFHwQknwOOPwyGHDJxp2rQ8PPAAHHnkwPLjj4ejj4aFC+GYYwaWn3QSHHYYzJ4N7373wPLTToMDD4RbboETTxxY/pnPwH77wV/+AqeeOrD8nHNgyhS46io444yB5eefD5Mnw2WXwdlnDyz//vdhhx3g4ovhvPMGll9yCUyaBBdckIdaV1wB48fDuefCj388sLynJz+edRZcfnn/so02gl//Oj//1Kfg97/vX77llnDppfn5KafA9On9y7ffHi68MD8/8cS8D6vttht8/ev5+XHHwZw5/cunTMn7D+Btb4NFi/qX77svnHlmfn7EEbBkSf/yAw6Aj30sPz/4YFi2rH/5oYfCPvvk57VxB8bemhp7t5wDG2wA7JFfd1nsTentzcs8+eQ8Ym2MvaWXwyabdG/s0ZMfxsB5b8o998DEiX3lhx66dsbeLecUj3Tfea9St6kn+pm7NsVe9XGF7vrMvWW//nWDtTr2dtxll76YGk3srV4Ft83ov9+g+2KvVjfF3hj4rTGlt7fvc3WsnfdqGXv5eatjr026PnEUEccBxwE8e9w4ent7+5XfP2cOd/f0sM7y5Tynpgzg3lmzuLenh3EPP8xeJeX/mjmTxT09bHD//exRUr5wxgyWTJjARgsWMLmk/K5bb+Wh9dZjk7lz2bWk/J833cQjK1ey6e23s0tJ+dwbbmBpby+b33orO5aUz77+epbdcw9bzpjBDiXld0yfzop589hq5ky2Kymf+ec/88Rmm7HtrFlsW1J+27XXsnrDDXn6nDlsXVJ+S/GG2mHePLasKV+1bBkzivId589n85ryJ1avZmZRvvOCBWxWU75i3DjuKMp3XbSITWrKH7/7buYU5bvdfTfja8qXLlrE3KJ8j/vuY4Oa8ocXLGB+Ub7X4sWMe+SRfuUPzZ/PXUX53g8+yLorVvQrXzJvHkt3352enp78IVDD2FszY2+PcTNZtcFG9PTcB3Rf7K1atYp58+axsChfG2PvaZPu5ImJE7m1S2Nv0q75w3neGDjvsWpVv8/VJWtp7O0xbiYAN9ywrOvOe5W69fb2jonP3KVLl7Kkzmfu2hR71ccVuuszd49xm/WrG6zd3/dWrlxJzyDf94YSe1ttsROTxs0c8Fuk22KvVjfF3lj4rbGq6nN1KL811qbzXi1jL5e3OvaWLl361DmulSKl1PKV1F15xLHAN4CdU0p3Djb95MmT0+zZs1teL6mip6eHqWX/AEgtYsypnYw3tZsxp3Yz5tROxpvarZkxFxE3ppT2KSuzjyNJkiRJkiSVMnEkSZIkSZKkUh3p4ygiKr13vaB4PDgiFgOLU0rXdKJOkiRJkiRJ6q9TnWP/pOb1ucXjNcDU9lZFkiRJkiRJZTqSOEopRSfWK0mSJEmSpKGzjyNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqVSklDpdhyGLiEeB2Z2uh8aUScADna6ExhRjTu1kvKndjDm1mzGndjLe1G7NjLkdU0pblRWs16QVtMvslNI+na6Exo6IuMGYUzsZc2on403tZsyp3Yw5tZPxpnZrV8x5qZokSZIkSZJKmTiSJEmSJElSqTUtcfT1TldAY44xp3Yz5tROxpvazZhTuxlzaifjTe3WlphbozrHliRJkiRJUvusaS2OJEmSJEmS1CZdnziKiB0i4pKIeDgiHomIn0bEMzpdL60dImL7iPhKREyPiMcjIkXETiXTbRgRn4+IeyJiWTH9yztQZa3BIuLIiLg0Iu4q4mh2RJwZERNqpts8Ir4ZEQ9ExGMRcVVE7N2pemvNFBGvjoirI+LeiFgREYsi4scRsWfNdH7OqmUi4jfFZ+sZNeM9z2nUImJqEV+1Q2/NdMabmiYiDomIayNiafG5eUNEvLKq3HhTU0RET51zXIqI31RN1/KY6+rEUUSMB64GdgfeDhwDPAv4Q0Rs3Mm6aa2xK3AU8BDwxwbTfQt4F/Bx4FDgHuC3ETGl1RXUWuVkYBVwKvAa4DzgeODKiFgHICICuKwofx9wBDCOfN7bvhOV1hprC+BG4L+AVwGnAHsB10XEjuDnrForIt4MPLdkvOc5Ndv7gX2rhgMrBcabmiki3g38gvz5+u/AG4GfAOOLcuNNzXQC/c9t+wIfLMp+CW2MuZRS1w7AB8g/snatGrcz8CTwwU7Xz2HNH4B1qp4fCyRgp5ppnluMf0fVuPWA2cAvO70NDmvOAGxVMu4/ivh6ZfH69cXr/aum2Qx4EPhyp7fBYc0egMlFfJ1UvPZz1qElA7A5cC/w5iLmzqgq8zzn0JQBmFrE0oENpjHeHJoyADsBy4ATG0xjvDm0dCA3aFgBbFG8bkvMdXWLI+B1wHUppbmVESml+cCfyTtIGpWU0uohTPY64Ang4qr5ngR+BLw6IjZoUfW0lkkpLS4Z/bficbvi8XXA3SmlP1TN9zD5nwTPexqtJcXjk8Wjn7Nqlc8Bt6eUflhS5nlO7WS8qVneCawGvtZgGuNNLVO0FH8jcFlK6cFidFtirtsTR3sBt5eMnwnsWTJeaoW9gPkppcdrxs8E1idf7iaN1CuKxzuKx0bnvWdExCZtqZXWGhGxbkSsHxHPAs4ntwKp/Jj3c1ZNFxEvJbemfG+dSTzPqdl+EBGrImJJRFxU00+b8aZmeSkwC3hTRMyLiCcjYm5EVJ/rjDe10r8DE4DvVo1rS8x1e+JoC3LfM7UeJDeBltqhURxWyqVhi4jtgE8CV6WUbihGDxZvnvs0XNeTmzTPAZ5Dvizy/qLMz1k1VUSsT05QnpVSml1nMs9zapaHgbPJ3Q28EvgUuX+j6RGxdTGN8aZmeTq5H8DPA58l9x94JfDViPhAMY3xplb6D+B+4NdV49oSc+s1YyGSpOEpsv+/IF8y9I4OV0drt2OATYFdyB20XxkRL00p3dnRWmlt9f+AjYBPd7oiWvullG4Gbq4adU1EXAv8ldxh9mkdqZjWVuuQW3tMSyn9tBh3deQ7Mp8SEV/uWM201ouIp5MT418quk1pq25vcfQQ5Rmyelk1qRUaxSH0ZXOlIYmIjcjXHe8CvDqltKiqeLB489ynYUkp3ZFSur7oa+YAYBPgI0Wxn7NqmuLyoI8CHwM2iIiJETGxKK68XhfPc2qhlNJN5BaW/1aMMt7ULJV+Aq+sGf87YBvgaRhvap23kfM3360Z35aY6/bE0UzyNXu19gT+3ua6aOyaCexcdEZWbU9gJTB34CxSuYgYB1wC7AMcklKaUTNJo/PegpTS0hZXUWuxlFIv+ZxV6ZvNz1k10y7AhsCF5C+qlQFya7eHgL3xPKf2SMWj8aZmmTlI+WqMN7XO24FbU0q31oxvS8x1e+Lol8CLI2KXyoiiKeBLijKpHS4DxpF7sAcgItYDjgZ+l1Ja0amKac0SEesAPyD3w3B4Sum6ksl+CWwXEa+omm9T4DA872mUImIbYHdgXjHKz1k10y3A/iUD5GTS/uTEpec5tUxE7ANMJl+uBsabmudnxeOra8a/BliUUroX400tUJzX9mRgayNoU8xFSmnwqTokIjYGbgWWka9RTuRO7yYAzzFjq2aIiCOLpwcA7wFOABYDi1NK1xTT/Ij8IfEhYD5wPHAosF/RJFoaVEScR46xTwOX1xQvSiktKpJLfwJ2IMfbQ8Ap5E6Nn5tSWtjGKmsNFhE/A24CbgMeAXYD/hvYFnhhSmmOn7Nqh4hIwKdTSqcVrz3PqSki4gfk72U3Ab3A88ix9Djw/JTSA8abmiUiAvg98FzyZbn/JP+xfCzwjpTSBcabWqHoP+t4YLuqG5xUytoSc12dOIKnrpf/InAQUHmznminnmqW4gttmWtSSlOLaSodfb4FmEj+ofXhlFJPG6qotURE3AnsWKf4f1JKpxfTbQGcBRxOvuxjOvDBkqapUl0R8WHgKOCZwPrAQqAHOLP6M9TPWbVabeKoGOd5TqMWEacAbyZ/to4H7iXfbegTKaV7qqYz3tQURUuOM4Ejyf3KzAI+m1K6qGoa401NU3RzcTdwXUrpsDrTtDzmuj5xJEmSJEmSpM7o9j6OJEmSJEmS1CEmjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSpFGLiG9ERIqIL9YpP70oX69N9ZlarG/qCOY9PCI+2OT6TCn2wRYlZSkiTm/m+kaqqEtlmNaC5W9fs44Dm70OSZLUXCaOJEnSqETERsBRxcu3tCs51EKHA01NHAFTgE8AAxJHwL7AN5u8vtH4FrlOv2rBsu8vlv3eFixbkiS1gIkjSZI0WocDmwJXAFsDr+lobdYwKaXrUkqLOl2PKouKOi1u9oJTSitTStcBf2/2siVJUmuYOJIkSaP1duAhYBqwrHhdzx4R8YeIeDwi7omIT0bEU99HImKTiPhKRCyIiBURcX9EXBURu1dNs2lEfDUi7i6mmR0R/x0R0aiSEXFnRFxQMv6pS8WK8rcD21VdTnVn1bRbRcTXIuJfxbpnRcRxg6x3GvCd4uU/qpa7U+36i9eVy/p2j4jfRsRjxf54R1F+TLHepcW+fGbJOo+LiFsjYnlEPBAR3yq7TG6oIuKCiFgUEc+LiD8Wx+8fEfGemum2jYjvVh2beyLi8ojYeqTrliRJnbWmNyWXJEkdFBFPBw4EvpFSWhwRPwfeEBGbp5QeKpnl58C3gTOBVwMfA1YDpxflXwReB5wK/APYEngJMLFY3zrkS6ieD3wcmAG8FvgCsFUx32h8qljOvxX1AFhRrHtT4E/ARkV95xfbcF5EbJBS+kqdZf4KOAM4DXgjUGlddM8gdfkJ8A3gLOAE4NsR8SxgKvARYBzwJeAi4EWVmSLis8BJwJeBDwHbFet/dkTsl1JaNch669m0WNc5wCeBd5C3fXZK6Q/FNN8HdizWuxDYBjgAGD/CdUqSpA4zcSRJkkbjbcC6wPeK198F3gwcDXytZPpvpJQ+Wzz/XZGMOSkizkkp9ZL7v/lBSulbVfP8rOr5IcBLgXeklC6oWs7GxXK+kFJ6YKQbk1KaFxGLgcolVdU+QE6K7J1S+kcx7qqImAh8IiLOSyk9WbLMxRExr3h5S0pp7hCr8/mU0vcAIuIG4DDg3cDOKaVHivFPA74UETumlO4qWjF9CPiflNInKwuKiDnkpNdh5OTdSEwATqgkiSLiWnLi7M1AJXG0L3BqSukHVfP9ZITrkyRJXcBL1SRJ0mi8HfhHSml68foq4G7qX67245rXPwI2AZ5dvP4bMC0iTo2IfSJi3ZrpX05uoXRRzfgLgfXJiYtWeQ1wPTA/ItarDMBvyS2j9mzy+n5deVK03rofuK6SNCrMKh53KB4PIn+/+0FNHa8HHiXvv5F6vKplESmlFcAc4BlV0/wN+FBEfCAi9h7s8kFJktT9TBxJkqQRiYh9yMmSn0bExKLlzQTgp8CLI2K3ktnuq/N6u+LxfcD5wDvJSYj7I+KLEVG51GkL4MGU0sqa5dxbVd4qW5MTL0/UDJUWNVs2eX21l/qtrDMOYMOqOgLMZWA9J4yyjmWXHq6oWjfklma/BP4fcBvwr4j4eHU/VpIkac3ipWqSJGmkKq2KPlwMtf6D3K9PtW2Af9a8BvgXQEppKXAKcEpE7AgcCXyWnCD5MPAgsEVErF+TPNq2eHywQX2Xk1slPSUihpNIWUJu9fOBOuWzh7GsVllSPL6K8kTPkpJxTZNSuh94L/DeiJhMjpH/ARYD57Vy3ZIkqTX890eSJA1bRKxP7tvmemD/kuEW4JiSS5WOqnn9JmApuZPrflJKd6WUzi7KKpeyXUP+/vLGmsnfSk4uTae+u6qWU/HakulWkDvArvUbYHdgQUrphpLh0QbrXlE8li23ma4kX8r3jDp1nN/i9T8lpTQ7pXQqOYFVu98lSdIawhZHkiRpJF5LvuzppJRST21hRJxPbmEylb6OkwHeVVy29Ddyx8rHAqenlB4u5ptOvtRpBjmh9ArgueROtyH3+/Mn4GsRsRUwk9xh9rHAmYN0jP0j8p3JvghcXix3Wsl0fye3ajoeuAFYnlKaQb7j29HAH4tlzAY2JieTXpZSen2Ddf+9eHxvRHyXfOnYbSWX3I1K0bn354CvFi1+riG3tNqB3P/RN6v7KWqmiNiM3MfVD8h9Lz0BvB7YHPhdK9YpSZJaz8SRJEkaibeTO1uud8esHwJfKKarTlS8HvgK8DHgYfJt4j9VVX4tuVXSR8jfU/4J/HdK6csAKaXVEfFa4DPkS9e2BO4EPki+TXwj3yUnUP6TfHeyPwL/Tu4PqNo3gRcX65hIbqm0U0rp4YjYD/h4se7tgF5yAunSRitOKd0aEacDxwHvIrea2rmoe1OllE6NiDsoLhkDErAQ+D3wj0bzjtJy4Cby9u1Ibvk0G3hrSukXLVyvJElqoUgpdboOkiRJ6gIRkciJvE8Cq1ILvigWd3l7Bbl10kEppauavQ5JktQ89nEkSZKkah8jX2b29sEmHK6I2L5YtskiSZLWEF6qJkmSpIp/q3reio6076tZRzfciU6SJDXgpWqSJEmSJEkq5aVqkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVOr/A3NkwlBDfHA/AAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 16.25), ('RE1', 17.5), ('FE2', 22.5), ('FE1', 23.75), ('RE1', 26.25), ('RE2', 26.25), ('FE2', 32.5), ('FE1', 33.75), ('RE1', 36.25), ('RE2', 36.25), ('FE2', 42.5), ('FE1', 43.75), ('RE1', 46.25), ('RE2', 46.25), ('FE1', 51.25), ('FE2', 51.25)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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nH82gr1Xdc2qK31g8XptS+mNNGSn3UVH3FubDtDH1929leOrf6dEe/4jYgtz6CvIPlgEtQFK+RfSA7S7m36mY/0nyHaXq+V7xeGBEtPJSotLLwCJiIn0tKD+fUhpwW/GU0s3AT4uXb26wjs+llFLJ+N82qkfKrRJ+X7ysjbHBTKh6Xu+W6LVl1fNUX6JzWp15P1r1vLavp8qyGq27unxCbUHkPsROJLfs+vAgyxmyiHgpfXfG+mFK6epmLbsZIuJo8qV5kGNvdqPpyR0030e+A1fFEuAk8h29BvNgMf9DVePuAt5PvnyyTC/5/fsi+u5YN5582enFxTQHAz8cwvqHa/Oq558lfza8KKU0IeWWky+m6JSa3CL0hcNc/mhjd7TzX1E87ky+lLifonXj+6tGlfazJmlsMHEkqdtV/ygdXzX+e8Dz0jBvgZ1yJ6GVH0i/iYhPRsSLImL9ptQ29y9Sprrvji2qnu9CXx8t9b44Q27ZMGKRO13+UERcE7lT7JVVHepWf+ls1DnpcLdt56rXjX4wNevH1P4ppagznFOZKCLWiYi3RMQvI2JB0YFwqtoflS//7b79cL39C337eIua8c8vHlsWO1X+p8H+rQx3Vk0/2uP/PPouTxrJ9lUuD1oH+HtNEvqpgb6+QTYmX77ZCsvIl6GWeT5923lVg2VcWTw+p7j8qcxf64y/r3h8MKX0z0Gm2bxOeUsUidGfFC+PjYgvRL4ZwbiI2C0ivk3u36rSn1RZ8nrEinP/t8lx8r5U3kHxSJa7OznZtz65xdy7m7HcZomIlwHfKV5eTYNLPitSSh9O+VLMSeT3y0HkfokuIPfD1uiPB1JKbynm34KchDiC3MLzZ9S5DDPlzsc/lFL6ayWpmrJbU0pvou/ytkMj4pW1849S9e+k5cBrU0pPvcdSSteTY3MZua/Ej7Jm+Q59f0qcHxHviYgtI2KD4jLh35H/YHuymKap7z1JaxYTR5K6WuUHKfl89XTyv6O95Lv4DNYnTz3Hkv853Ar4GHAd8GhE/KlIrtT+OB9OfR+tM/7JqpfVP/q2qnper2NYgGElyKoVfZb8nXxnopcX63yCvg5+76uavG7LnBFsW3UH043qv6hBWVMVHbleBfwAOIzcb8w69P0TXt3h8ZBaKTVR6f4tVPZxbcKgEj8tiZ1RGu3xH+174+nF4zo0biU1qWqe6uR0My2p01oPhr+f1mNgAhGo/x6lL35GEmODqV5mo/1XXVZbj/+kL4H43+QfsyvJ/Xu9g9yqsdIy8qGaeSvLGuzYVcpr1/1xcr9Lv0hNumtWcc69mhzDs4EDGxybtouIfcn7cyNyn1qvrzmPDyql9HhK6SrgZeQbO7yQ3MH6UOd/NKX0U3KrnYXku+udPpw6FE6lr3Pvw0cwfyPVx+yiVNJ5e0ppIblvMYADhtlqcbSxO6r5U0qPkRNfd5E/784jX3a4nBwXLyZfStpbzFL73pM0hpg4krRGKP5hvCeldD7w7+Tr7f93JP8wppQWkP/lfw35VrM3ks+HLyEnV+a24J/LIVWtRcv9Drn1zJ3kS5u2TLlT6K1T7uC3+m5orepktFt8lNwvzjLyD9QdgQ1TSlsW/4RvS1/LnzVpX7QqdrrFSLav8gPuviG0lCprMdVMLbvdeheo/jFdemfFmrJHUr7L2lOKpMpB5MtlfkHu6+lOcpL37eRzfiVZNqfO+hutu7r8qfpGxK7kS9MeAz4cEZvUDlXzr18yboAiafQHckuNOeSWkPcOUre2KZJGvyFftjQdOLj2eAxHSmkluWN/gCOG+8dL0cKr0vLpXQ0mrTf/Uvo6j95luPMPojqRe0fdqfruSjbcVouVWNw8Gt/qfkDs1rweduxXpJT+Tu5H70Pk1pvzye+/HwOvIPcBN7GYvPa9J2kMMXEkaY2TUuoh3xo3gK+MpF+SlNLqlNJvU0ofSCntQ/5R8lZyJ52bAxc18fK1RhZXPX963akG/2JYKiJ2oK+vnjenlC4p6Uep4eUFo1Ddp81QflC2w5uKx0+mlM5JKS0o6ROmVfujFSrx0/TYaYLRHv/RvjcqP9YnRb6tdreq3k+NLo+slD1JbiHXLarvBtXo7lKVstJbfxfn5B+mlA5PKe2WUto5pXRQSul75CTgc4tJa+9YV1n/1pFv7T5A8Rmxe/FyZlXR9uQWXBuT+8x7tGSoOKUyruiXqmw9laTR08k/vvdPKd1TNm0nFJcf/ZZ8mdh04NVNaglVnWDZdRTzbxoRWzecsr1uG+J01X8yDCfJPdz3zsya8aOJ/acUrb/OSintn1LapXj/HZ1yv3nPJb9HYOB7T9IYYuJI0prqk+R/8fck/yM9KsUXp4vIl0xAvoSlHbee/Sd9zcCnNpiuUVkjO1Q9v7nONAeOcNmDmU/fD9z9G0zXztZdlf1Rui+KDpVH8sOnUyr95kxtME2jslYa7fG/mb4fYVMbzF+v7M/F47rkznO71U309R1yQIPpKu/TW1NKTzSYrt3mkBPukFtxDlAk7l5WvPzdCNZxGLAZuaXgT2rKrqx6Xrp+cmvSSsfAI1n/oIqkUQ85aTSHfAfDRpdYtlWRNKpuafSaJl4+V93SZyTLrJ5/WK2fihZglcTK/EbTDldKaS75MxpgjwaT7lk8PkL/jsMH8ydyTEP9986OVeuujd12xP7bisfrU0q2OJLGMBNHktZIKaV59N1R5WMNOovtZwitiJZVPW95R5BFa5fK3ZLeExEDOqaNiGcBR41wFQ9XPX9ubWFETKD+nYxGpdi2yt3g3hMRk2qniYg9gSNbsf46KvtjwL4ofLZdFWmSyh3JXh4RL6ktjIgNgJPbW6VstMe/aBn3h+LlSWXv3Yh4OX0Jidr5/0Ffx9mfjojNGtV3NH2bjUZxqU7lrmcfKvrh6icinkvf3RdbcfeoESuOc+XOdG8qkq+13gtsQk72/2A4yy9aUlTuivd/KaV+/awUnX3/qXh5Up3Pgo8Uj3cB11bN2zPY5YtVy6juHL63po6VpFH15WndmjT6C7ml0SNDnHe9Qco3Ad5XvLyX3KfTcObfltyPFcBTHWBXlQ92yfAZwIbF8180mnCELige3xIRA1o+Fq16K3c6vKJBX2YDFH0MVfrVOr7OOapyl79Hqblz3Whifygi4sXA8cXLM4Yzr6S1j4kjSWuyM8ktEnair6XQYPaLiNsi4r8jYo+IWAfyl9Piy/V5xXSLGHoz9dE6k5yw2gb4XUQ8r6pOryT/qBzsdrv13EFfa4BvR8QLKgVFXxc9tPYuSmeSv/BOAq6MiH2KdUdEvIp8K+6RbttIVO6gdVpEvKHyoyYido6Ii8gJujWpA9CLyZcfBPDTiHh95dLNiJgMXE5nL70b7fH/BPk9/mzgl0USlYhYLyLeQP7R1eh4vY/cgmE34Lpi/1R+ZBIR20XEMRHxe+BzI93IJjiN3Cn7rsBvI2Lvon7rRMQh5Ntmr0e+g9X5HatlfWeRkwbjgV9VzjMRsX5EHA98qpju62WtFiLitRHxgYh4ZlX8jo+IN5Jbx+xCvqFBvTt/fZiclHou8KOI2K5YxhYRcS59Lc7+X0qpqf1NFf0kVfo0ms0IWhpFvovVpMpATrJVyibVDMP67l78+K8kjf7M8FsaXRIR/xv57qPV752NI+J1xTIrLW4+XpI4+VNEfDwinlud2IiIiRHxVvLx3Zr8Pi87vn+v83m9d0RcCHygmO7XRWfdZftgUs3+rdikpqysk+kvkJMuldiu3HWT4vnl5E7Gl5FbQteu+4Lou2NnmY+T+9h6GvnOcpVz3MYR8XHyDUEAzqhNmhZGFfvF++4tEbFN1bitI+IkcoumceT37eV16i9prEgpOTg4OHTVQL6zSqL4M3uQaX9eTLsQ2KBq/NSyZVSPL4aV5LuIPFE17mHgZTXz7VRVvlO9ZQ5S18r8U0vKjqypwyPkL5OJnMSaVjxfPoL9eWjNsh+rWvZS8uUxpXVr0ra9lnyXlupte7x4fjf53+YhHe+SZU9ttO6S6Xck/8CtzPME+VLByutTyMm0BJxeMv+dRdm0JpYNWv9B6rQ7cE/VcpZXbdPy4vhXyl48gn1cmXdpse8aDT9t9vEHTqyaN5ETRZXlzagqn1Vn/pfU7J8nye/5x2uW+40R7Ju6x6Uon1aU3zmEZR0NrKiqz8PkH6OV1wuAPRq9Bxose9B60Hfe7Rnufijmf0GxX6uP88qq17+l6hzd4BhX+nBaVTXuGmCLQdZ/LP3Pcw+RW41WXpceo2HEf71j/O2aY9bwPTLI8RnKsNMw63911bwPDlK/vzWI8VQck4eK5VTv2xXkxETZ+u+sObZL6H/OTeTk8jGD7P9E3+d17Xv3V8CEIRzDwYZ6x3h38udwdX0frXl9aJ15L6hM16B+h9D3mZyK/fNk1etvA9GK2KfvO1Qin28ernq9mnwDkXVG8t5xcHBYuwZbHEla0326eNweePcQpv8buVXJeeS7qT1A7ih0OXAL+a5qe6TcKWTbpJQuAfYh99+xGNiAfGv4LwHPo+8Sq94RLPty4OXkL9e95JYLD5DvZPOClNLvR1f7Qdf/K/Jd7H5E7gh4ffK2fZW8bfNbuf6autxF3s/fou8OM8vJ/xq/OqV0Zrvq0iwppVnAc8hf8O8ktz5aTr5M7MX09fUDI4ifKhvT+Lb221Bym/jRHv+U0jnk5MgV5B9EG5K38wzy9lUuZemtM/+fyS2OTiZfqtFLvkvQKnKLvAvJHeOf2KgerZZSuhjYi9yiaB75HPAk+bz0CeDZKaVGd3bqqJTSjeT6f5HcMfQ48o/hP5HvlnVwSmlFndmvBL5C7tfqIXKs3Qf8kpxQm5oGdupfu/5vAi8i3xr9X+QWIveTfxgfkFI6feRb11D1d+lNGfw90m7V9du8Qb22Aco6WD4J+Bj5GN1J/vyYQE4eTQc+A+yZUvrfOut/O/lz+lpy8mVDcgud+8kJwY8Cu6WUvl9n/uPIn1W3FevclJzUmEe+bPOQlNJrU/P6axqgOMfuRW5RVGmJvC65hdmXye/NEbfISSldQT6Hf4O8jzckvw+uBI5MKb0zpZQazD+a2D+ffLOR2eTE3Prkfp2+A+yXUnp/Gsbld5LWXtHgPCRJ6hIR8WngVODqlFKjDnSlfiLiIHKnqMuBTVN3daw8ahHxA/Jt3L+dUhrqJauSJEkaIlscSVKXi9w57LHFy980mlaqVnQsW+lc9eq1MGm0G/CG4qXvDUmSpBYwcSRJXSAi3h8RH4mIXas6bN6g6Bj3WnLnoYvJfR1IT4mI/SPinIjYJyI2KsZF0UHxZfT1YVXvUpKuFhGfjIj/iohnVHWOu3FEHE3ulHhDYBY1dxySJElSc3ipmiR1gYg4h767w6wi92m0Kbk/CYrXh6eUetpeOXW1iDgc+FnVqIfIfYhU7oCUgJNTSl9oc9WaIiJ+Dry+ePkEuSPaifT9+fUv8p2ibm975SRJksYAE0eS1AUi4nnA28idWG8HbEm+U8188t2IvpRS+lfnaqhuFRHbki9lPIB82/KtyB1G3w38EfhqSumGztVwdCLiFeQOkvcj37J6C3Kny3PInZp/dbCOkyVJkjRyJo4kSZIkSZJUar3BJ+keEydOTLvuumunq6Ex5LHHHmPjjTfudDU0hhhzaifjTe1mzKndjDm1k/GmdmtmzN14440PpJS2KitboxJH22yzDTfcsMa2ttcaqKenh6lTp3a6GhpDjDm1k/GmdjPm1G7GnNrJeFO7NTPmIuKuemXeVU2SJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSrU9cRQRr46IqyPi3ohYERGLIuLHEbFnu+siSZIkSZKk+tbrwDq3AG4EzgUWA88APgJcFxF7p5Tu6kCdJEmSJEmSVKPtiaOU0g+BH1aPi4i/ArOAI4Gz210nSZIkSZIkDdQtfRwtKR6f7GgtJEmSJEmS9JSOJY4iYt2IWD8ingWcD9xLTUskSZIkSZIkdU4n+jiquB54QfF8LvDKlNL9jWYYv3AhTJ3af+RRR8EJJ8Djj8Mhhwycadq0PDzwABx55MDy44+Ho4+GhQvhmGMGlp90Ehx2GMyeDe9+98Dy006DAw+EW26BE08cWP6Zz8B++8Ff/gKnnjqw/JxzYMoUuOoqOOOMgeXnnw+TJ8Nll8HZJVfxff/7sMMOcPHFcN55A8svuQQmTYILLshDrSuugPHj4dxz4cc/Hlje05MfzzoLLr+8f9lGG8Gvf52ff+pT8Pvf9y/fcku49NL8/JRTYPr0/uXbbw8XXpifn3hi3ofVdtsNvv71/Py442DOnP7lU6bk/QfwtrfBokX9y/fdF848Mz8/4ghYsqR/+QEHwMc+lp8ffDAsW9a//NBDYZ998vPauANjz9jLz5sce1N6e/MyTz45jzD2BpYbe/l5E2Jvyj33wMSJfeWHHmrsGXud+8w19oy9FsTejrvs0hdTxt7AcmMvP29S7E3p7e37XPW8Z+xB62OvTTqZODoG2BTYBTgZuDIiXppSurN6oog4DjgO4NnjxtHb29tvIffPmcPdPT2ss3w5z6kpA7h31izu7elh3MMPs1dJ+b9mzmRxTw8b3H8/e5SUL5wxgyUTJrDRggVMLim/69ZbeWi99dhk7lx2LSn/50038cjKlWx6++3sUlI+94YbWNrby+a33sqOJeWzr7+eZffcw5YzZrBDSfkd06ezYt48tpo5k+1Kymf++c88sdlmbDtrFtuWlN927bWs3nBDnj5nDluXlN9SvKF2mDePLWvKVy1bxoyifMf589m8pvyJ1auZWZTvvGABm9WUrxg3jjuK8l0XLWKTmvLH776bOUX5bnffzfia8qWLFjG3KN/jvvvYoKb84QULmF+U77V4MeMeeaRf+UPz53NXUb73gw+y7ooV/cqXzJvH0t13p6enJ38I1DD2jD1ofuytWrWKefPmsbAoN/YGlht7ubwZsceqVf0+V5cYe8YerY29pUuXsqTOZ66xZ+y1IvZWrlxJzyDf94w9Y69Zsbeq6nN1KL81jD1jb7Sxt3Tp0qfOca0UKaWWr2TQSkRMBO4EfpRSek+96SZPnpxmz57drmpJ9PT0MLXsHwCpRYw5tZPxpnYz5tRuxpzayXhTuzUz5iLixpTSPmVlXdE5dkqpl3y52q4drookSZIkSZIKXZE4iohtgN2BeZ2uiyRJkiRJkrK293EUET8DbgJuAx4BdgP+G3gSKOkVS5IkSZIkSZ3Qic6xrwOOAk4C1gcWAj3AmbUdY0uSJEmSJKlz2p44Sil9Dvhcu9crSZIkSZKk4emKPo4kSZIkSZLUfUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVGq9RoUR8e1hLCullP5zlPWRJEmSJElSl2iYOAJeCaQhLmuo00mSJEmSJGkN0DBxlFLaqU31kCRJkiRJUpexjyNJkiRJkiSVGlbiKCI2joj3R8QlEfGHiHhWMf5NEbF7a6ooSZIkSZKkThisj6OnRMQOQA+wPTALeDYwoSjeHzgQOLbJ9ZMkSZIkSVKHDKfF0dnACmA34AVAVJVdA7ysifWSJEmSJElShw25xRFwEHBcSumuiFi3puxfwHbNq5YkSZIkSZI6bTgtjtYHHq1Tthnw5OirI0mSJEmSpG4xnBZHtwFHAL8pKTsYuLEpNZKkKs97HixeDLvu2umatEdv7xQmTux0LQaaOxe22gpuvrnTNWm9sRRz3RpvMHZibizFG3RvzI2VeANjbqTGUoxIUq3hJI4+D1wSEQAXFeP2jIjXA/8JvK7JdZMkFi+GpUs7XQuNpWNgzHWHsXIMjLfuMJaOgTE3Mu4zSWPZkBNHKaWfRsQJwGeBdxajv0e+fO2/UkplLZEkaVQq/4j29HS0Gm3T03MLU6dO7XQ1BujCKrXMWIq5bo03GDsxN5biDbo35rqwSi1jzI3MWIoRSao1nBZHpJS+FhHfB/YFtgaWAH9JKdXr+0iSJEmSJElrqGEljgBSSo8BV7WgLpIkSZIkSeoiw0ocRcQ6wAuBZwAb1panlL7XpHpJkiRJkiSpw4acOIqIPYGfA88EomSSRO7zSJIkSZIkSWuB4bQ4OreY/ihgBrCiJTWSJEmSJElSVxhO4uj5wLSU0k9bVRlJkiRJkiR1j3WGMe0DwMpWVUSSJEmSJEndZTiJoy8C742IdVtVGUmSJEmSJHWP4VyqthUwGfh7RFwJPFhTnlJKn2hazSRJkiRJktRRw0kcnVb1/Fkl5QkwcSRJkiRJkrSWGHLiKKU0nMvaJEmSJEmStIYzGSRJkiRJkqRSw7lU7SkRsTWwYe34lNKCUddIkiRJkiRJXWHIiaOI2BT4EnA0sEGdybzjmiRJkiRJ0lpiOC2O/g84AvgWMANY0ZIaSZIkSZIkqSsMJ3H0GuBDKaX/a1VlJEmSJEmS1D2G2zn27JbUQpIkSZIkSV1nOImjHwGHtaoikiRJkiRJ6i7DuVTtd8A5ETEBuAJ4sHaClNLVzaqYJEmSJEmSOms4iaNfFI87A9OqxicgikfvqiZJkiRJkrSWGE7iaP+W1UKSJEmSJEldZ8iJo5TSNa2siCRJkiRJkrrLcO+qJkmSJEmSpDFiOJeqERF7AccCk4ENa4pTSumAZlVMkiRJkiRJnTXkxFFEvAi4BrgTeBZwG7A58AxgETC3BfWTJEmSJElShwznUrXPAD8F9iLfRe0/U0o7AQeS76Z2RtNrJ0mSJEmSpI4ZTuLoOcCFQCperwuQUrqanDQ6s7lVkyRJkiRJUicNJ3G0PvBYSmk18CDwtKqy2cCzm1kxSZIkSZIkddZwEkdzge2K57cB74yIdSJiHeAdwL3NrpwkSZIkSZI6Zzh3VbsMmApcRO7v6FfAI8AqYBPg/c2unCRJkiRJkjpnyImjlNLpVc+viogXA0cA44HfpJR+1/zqSZIkSZIkqVOG0+Kon5TSzcDNTayLJEmSJEmSushw+jgatYg4MiIujYi7ImJZRMyOiDMjYkI76yFJkiRJkqTBDTlxFBHrR8QnImJWRDweEatqhieHsJiTyX0inQq8BjgPOB64suhkW5IkSZIkSV1iOJeqfR54L/Br4KfAihGs77CU0uKq19dExIPAd8kdb189gmVKkiRJkiSpBYaTODoS+ERK6dMjXVlN0qjib8XjdiNdriRJkiRJkppvOImjTYDpLajDK4rHOwabcPzChTB1av+RRx0FJ5wAjz8OhxwycKZp0/LwwANw5JEDy48/Ho4+GhYuhGOOGVh+0klw2GEweza8+90Dy087DQ48EG65BU48cWD5Zz4D++0Hf/kLnHrqwPJzzoEpU+Cqq+CMMwaWn38+TJ4Ml10GZ589sPz734cddoCLL4bzzhtYfsklMGkSXHBBHmpdcQWMHw/nngs//vHA8p6e/HjWWXD55f3LNtoIfv3r/PxTn4Lf/75/+ZZbwqWX5uennALTa8Jn++3hwgvz8xNPzPuw2m67wde/np8fdxzMmdO/fMqUvP8A3vY2WLSof/m++8KZZ+bnRxwBS5b0Lz/gAPjYx/Lzgw+GZcv6lx96KOyzT35eG3dg7LUr9hYuzMduatU2rsWxN6W3Ny/z5JPziG6JvVuK7Z164tofe/TkhzFw3ptyzz0wcWJf+aGHdk/s3VK8L6rf+2tj7FW/t8b6Z24nY2/JJbDlpLHxmXvLfnlc9XtrLY69HXfZpS+mRhN7q1fBbTP67zfw+56/NfLzIvam9Pb2fa52+3nP2MuPa3rstclwEkeXAS+niZeTRcR2wCeBq1JKN9SZ5jjgOIBnjxtHb29vv/L758zh7p4e1lm+nOfUlAHcO2sW9/b0MO7hh9mrpPxfM2eyuKeHDe6/nz1KyhfOmMGSCRPYaMECJpeU33XrrTy03npsMncuu5aU//Omm3hk5Uo2vf12dikpn3vDDSzt7WXzW29lx5Ly2ddfz7J77mHLGTPYoaT8junTWTFvHlvNnMl2JeUz//xnnthsM7adNYttS8pvu/ZaVm+4IU+fM4etS8pvKd5QO8ybx5Y15auWLWNGUb7j/PlsXlP+xOrVzCzKd16wgM1qyleMG8cdRfmuixaxSU3543ffzZyifLe772Z8TfnSRYuYW5Tvcd99bFBT/vCCBcwvyvdavJhxjzzSr/yh+fO5qyjf+8EHWXdF/6svl8ybx9Ldd6enpyd/CNQw9toTeztvvJoNH7mn33t/bY69VatWMW/ePBYW5d0Se3uMmwlAb2/vWh97k3bNH87zxsB5j1Wr+r23lnRR7O0xbl2AfvVbG2Ov+r01Fj5zly5dypI6n7mdjL3tN/0nyyct5/rrr1/rP3P3GLcZ0P+9tTbH3sqVK+kZ5PveUGJvqy12YtK4mQN+i/h9z98a0Bd7q6o+V4fyW6NbPnONvf7la1LsLV269KlzXCtFSql+YcQuVS+3Ar4H/AC4AniwdvqU0j+HvOKITch/6z4deGFKaVHjOWDy5Mlp9uzZQ12FNGo9PT1MLfsHQGoRY07tZLyp3Yw5tZsxp3Yy3tRuzYy5iLgxpbRPWdlgLY7mAtWZpQBOBz5Ru45iunWHWKGNyC2YdgFeMZSkkSRJkiRJktprsMTRO+mfOBq1iBgHXALsAxyUUprRzOVLkiRJkiSpOQZLHH0PeC0wP6V0e9kEEbE3sFNK6bLBVhYR65AvdXslcGhK6bph1leSJEmSJEltss4g5W8Dfgg81mCaR4GLIuLNQ1jf/wFvBM4GHouIF1cN2w+pxpIkSZIkSWqLoSSOvpNSml9vgpTSncC3gbcPYX0HF48fBabXDMcOYX5JkiRJkiS1yWCXqj0f+MoQlnMV8NbBJkop7TSEZUmSJEmSJKkLDNbiaALw0BCW81AxrSRJkiRJktYSgyWOHgB2HMJynlFMK0mSJEmSpLXEYImjPzG0voumFdNKkiRJkiRpLTFY4ugc4ICI+GJErF9bGBHjIuIc4JXAF5tfPUmSJEmSJHVKw86xU0rTI+Ik4GzgrRHxO+CuonhH4CBgS+CklNJ1La2pJEmSJEmS2mqwu6qRUjonIm4CPgz8O7BRUbQM6AE+m1L6Y8tqKEmSJEmSpI4YNHEEkFK6Frg2ItYBJhWjl6SUVrWsZpIkSZIkSeqoISWOKlJKq4H7W1QXSZIkSZIkdZHBOseWJEmSJEnSGGXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklRqvU5XQJLa6XnPg8WLYdddO12Tcr29U5g4sdO1aK25c/PjkUfCOed0tCqluj1GmmksxBvkmNtqK7j55k7XZKCxFG9gzHUDY25kuvmYSlKrmTiSNKYsXgxLl3a6FmNbt+9/Y2Tt083H03hbO3XzMTXmRsZ9JmksM3EkaUyp/MPa09PRatTV03MLU6dO7XQ1Wqqyed3Y2gi6P0aaaSzEG/TFXDcaS/EGxlw3MOZGppuPqSS1mn0cSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSrV9sRRRGwfEV+JiOkR8XhEpIjYqd31kCRJkiRJUmOdaHG0K3AU8BDwxw6sX5IkSZIkSUPQicTRtSmlbVJKhwA/6cD6JUmSJEmSNARtTxyllFa3e52SJEmSJEkaPjvHliRJkiRJUqn1Ol2B4Ri/cCFMndp/5FFHwQknwOOPwyGHDJxp2rQ8PPAAHHnkwPLjj4ejj4aFC+GYYwaWn3QSHHYYzJ4N7373wPLTToMDD4RbboETTxxY/pnPwH77wV/+AqeeOrD8nHNgyhS46io444yB5eefD5Mnw2WXwdlnDyz//vdhhx3g4ovhvPMGll9yCUyaBBdckIdaV1wB48fDuefCj388sLynJz+edRZcfnn/so02gl//Oj//1Kfg97/vX77llnDppfn5KafA9On9y7ffHi68MD8/8cS8D6vttht8/ev5+XHHwZw5/cunTMn7D+Btb4NFi/qX77svnHlmfn7EEbBkSf/yAw6Aj30sPz/4YFi2rH/5oYfCPvvk57VxB8bemhp7t5wDG2wA7JFfd1nsTentzcs8+eQ8Ym2MvaWXwyabdG/s0ZMfxsB5b8o998DEiX3lhx66dsbeLecUj3Tfea9St6kn+pm7NsVe9XGF7vrMvWW//nWDtTr2dtxll76YGk3srV4Ft83ov9+g+2KvVjfF3hj4rTGlt7fvc3WsnfdqGXv5eatjr026PnEUEccBxwE8e9w4ent7+5XfP2cOd/f0sM7y5Tynpgzg3lmzuLenh3EPP8xeJeX/mjmTxT09bHD//exRUr5wxgyWTJjARgsWMLmk/K5bb+Wh9dZjk7lz2bWk/J833cQjK1ey6e23s0tJ+dwbbmBpby+b33orO5aUz77+epbdcw9bzpjBDiXld0yfzop589hq5ky2Kymf+ec/88Rmm7HtrFlsW1J+27XXsnrDDXn6nDlsXVJ+S/GG2mHePLasKV+1bBkzivId589n85ryJ1avZmZRvvOCBWxWU75i3DjuKMp3XbSITWrKH7/7buYU5bvdfTfja8qXLlrE3KJ8j/vuY4Oa8ocXLGB+Ub7X4sWMe+SRfuUPzZ/PXUX53g8+yLorVvQrXzJvHkt3352enp78IVDD2FszY2+PcTNZtcFG9PTcB3Rf7K1atYp58+axsChfG2PvaZPu5ImJE7m1S2Nv0q75w3neGDjvsWpVv8/VJWtp7O0xbiYAN9ywrOvOe5W69fb2jonP3KVLl7Kkzmfu2hR71ccVuuszd49xm/WrG6zd3/dWrlxJzyDf94YSe1ttsROTxs0c8Fuk22KvVjfF3lj4rbGq6nN1KL811qbzXi1jL5e3OvaWLl361DmulSKl1PKV1F15xLHAN4CdU0p3Djb95MmT0+zZs1teL6mip6eHqWX/AEgtYsypnYw3tZsxp3Yz5tROxpvarZkxFxE3ppT2KSuzjyNJkiRJkiSVMnEkSZIkSZKkUh3p4ygiKr13vaB4PDgiFgOLU0rXdKJOkiRJkiRJ6q9TnWP/pOb1ucXjNcDU9lZFkiRJkiRJZTqSOEopRSfWK0mSJEmSpKGzjyNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqVSklDpdhyGLiEeB2Z2uh8aUScADna6ExhRjTu1kvKndjDm1mzGndjLe1G7NjLkdU0pblRWs16QVtMvslNI+na6Exo6IuMGYUzsZc2on403tZsyp3Yw5tZPxpnZrV8x5qZokSZIkSZJKmTiSJEmSJElSqTUtcfT1TldAY44xp3Yz5tROxpvazZhTuxlzaifjTe3WlphbozrHliRJkiRJUvusaS2OJEmSJEmS1CZdnziKiB0i4pKIeDgiHomIn0bEMzpdL60dImL7iPhKREyPiMcjIkXETiXTbRgRn4+IeyJiWTH9yztQZa3BIuLIiLg0Iu4q4mh2RJwZERNqpts8Ir4ZEQ9ExGMRcVVE7N2pemvNFBGvjoirI+LeiFgREYsi4scRsWfNdH7OqmUi4jfFZ+sZNeM9z2nUImJqEV+1Q2/NdMabmiYiDomIayNiafG5eUNEvLKq3HhTU0RET51zXIqI31RN1/KY6+rEUUSMB64GdgfeDhwDPAv4Q0Rs3Mm6aa2xK3AU8BDwxwbTfQt4F/Bx4FDgHuC3ETGl1RXUWuVkYBVwKvAa4DzgeODKiFgHICICuKwofx9wBDCOfN7bvhOV1hprC+BG4L+AVwGnAHsB10XEjuDnrForIt4MPLdkvOc5Ndv7gX2rhgMrBcabmiki3g38gvz5+u/AG4GfAOOLcuNNzXQC/c9t+wIfLMp+CW2MuZRS1w7AB8g/snatGrcz8CTwwU7Xz2HNH4B1qp4fCyRgp5ppnluMf0fVuPWA2cAvO70NDmvOAGxVMu4/ivh6ZfH69cXr/aum2Qx4EPhyp7fBYc0egMlFfJ1UvPZz1qElA7A5cC/w5iLmzqgq8zzn0JQBmFrE0oENpjHeHJoyADsBy4ATG0xjvDm0dCA3aFgBbFG8bkvMdXWLI+B1wHUppbmVESml+cCfyTtIGpWU0uohTPY64Ang4qr5ngR+BLw6IjZoUfW0lkkpLS4Z/bficbvi8XXA3SmlP1TN9zD5nwTPexqtJcXjk8Wjn7Nqlc8Bt6eUflhS5nlO7WS8qVneCawGvtZgGuNNLVO0FH8jcFlK6cFidFtirtsTR3sBt5eMnwnsWTJeaoW9gPkppcdrxs8E1idf7iaN1CuKxzuKx0bnvWdExCZtqZXWGhGxbkSsHxHPAs4ntwKp/Jj3c1ZNFxEvJbemfG+dSTzPqdl+EBGrImJJRFxU00+b8aZmeSkwC3hTRMyLiCcjYm5EVJ/rjDe10r8DE4DvVo1rS8x1e+JoC3LfM7UeJDeBltqhURxWyqVhi4jtgE8CV6WUbihGDxZvnvs0XNeTmzTPAZ5Dvizy/qLMz1k1VUSsT05QnpVSml1nMs9zapaHgbPJ3Q28EvgUuX+j6RGxdTGN8aZmeTq5H8DPA58l9x94JfDViPhAMY3xplb6D+B+4NdV49oSc+s1YyGSpOEpsv+/IF8y9I4OV0drt2OATYFdyB20XxkRL00p3dnRWmlt9f+AjYBPd7oiWvullG4Gbq4adU1EXAv8ldxh9mkdqZjWVuuQW3tMSyn9tBh3deQ7Mp8SEV/uWM201ouIp5MT418quk1pq25vcfQQ5Rmyelk1qRUaxSH0ZXOlIYmIjcjXHe8CvDqltKiqeLB489ynYUkp3ZFSur7oa+YAYBPgI0Wxn7NqmuLyoI8CHwM2iIiJETGxKK68XhfPc2qhlNJN5BaW/1aMMt7ULJV+Aq+sGf87YBvgaRhvap23kfM3360Z35aY6/bE0UzyNXu19gT+3ua6aOyaCexcdEZWbU9gJTB34CxSuYgYB1wC7AMcklKaUTNJo/PegpTS0hZXUWuxlFIv+ZxV6ZvNz1k10y7AhsCF5C+qlQFya7eHgL3xPKf2SMWj8aZmmTlI+WqMN7XO24FbU0q31oxvS8x1e+Lol8CLI2KXyoiiKeBLijKpHS4DxpF7sAcgItYDjgZ+l1Ja0amKac0SEesAPyD3w3B4Sum6ksl+CWwXEa+omm9T4DA872mUImIbYHdgXjHKz1k10y3A/iUD5GTS/uTEpec5tUxE7ANMJl+uBsabmudnxeOra8a/BliUUroX400tUJzX9mRgayNoU8xFSmnwqTokIjYGbgWWka9RTuRO7yYAzzFjq2aIiCOLpwcA7wFOABYDi1NK1xTT/Ij8IfEhYD5wPHAosF/RJFoaVEScR46xTwOX1xQvSiktKpJLfwJ2IMfbQ8Ap5E6Nn5tSWtjGKmsNFhE/A24CbgMeAXYD/hvYFnhhSmmOn7Nqh4hIwKdTSqcVrz3PqSki4gfk72U3Ab3A88ix9Djw/JTSA8abmiUiAvg98FzyZbn/JP+xfCzwjpTSBcabWqHoP+t4YLuqG5xUytoSc12dOIKnrpf/InAQUHmznminnmqW4gttmWtSSlOLaSodfb4FmEj+ofXhlFJPG6qotURE3AnsWKf4f1JKpxfTbQGcBRxOvuxjOvDBkqapUl0R8WHgKOCZwPrAQqAHOLP6M9TPWbVabeKoGOd5TqMWEacAbyZ/to4H7iXfbegTKaV7qqYz3tQURUuOM4Ejyf3KzAI+m1K6qGoa401NU3RzcTdwXUrpsDrTtDzmuj5xJEmSJEmSpM7o9j6OJEmSJEmS1CEmjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSpFGLiG9ERIqIL9YpP70oX69N9ZlarG/qCOY9PCI+2OT6TCn2wRYlZSkiTm/m+kaqqEtlmNaC5W9fs44Dm70OSZLUXCaOJEnSqETERsBRxcu3tCs51EKHA01NHAFTgE8AAxJHwL7AN5u8vtH4FrlOv2rBsu8vlv3eFixbkiS1gIkjSZI0WocDmwJXAFsDr+lobdYwKaXrUkqLOl2PKouKOi1u9oJTSitTStcBf2/2siVJUmuYOJIkSaP1duAhYBqwrHhdzx4R8YeIeDwi7omIT0bEU99HImKTiPhKRCyIiBURcX9EXBURu1dNs2lEfDUi7i6mmR0R/x0R0aiSEXFnRFxQMv6pS8WK8rcD21VdTnVn1bRbRcTXIuJfxbpnRcRxg6x3GvCd4uU/qpa7U+36i9eVy/p2j4jfRsRjxf54R1F+TLHepcW+fGbJOo+LiFsjYnlEPBAR3yq7TG6oIuKCiFgUEc+LiD8Wx+8fEfGemum2jYjvVh2beyLi8ojYeqTrliRJnbWmNyWXJEkdFBFPBw4EvpFSWhwRPwfeEBGbp5QeKpnl58C3gTOBVwMfA1YDpxflXwReB5wK/APYEngJMLFY3zrkS6ieD3wcmAG8FvgCsFUx32h8qljOvxX1AFhRrHtT4E/ARkV95xfbcF5EbJBS+kqdZf4KOAM4DXgjUGlddM8gdfkJ8A3gLOAE4NsR8SxgKvARYBzwJeAi4EWVmSLis8BJwJeBDwHbFet/dkTsl1JaNch669m0WNc5wCeBd5C3fXZK6Q/FNN8HdizWuxDYBjgAGD/CdUqSpA4zcSRJkkbjbcC6wPeK198F3gwcDXytZPpvpJQ+Wzz/XZGMOSkizkkp9ZL7v/lBSulbVfP8rOr5IcBLgXeklC6oWs7GxXK+kFJ6YKQbk1KaFxGLgcolVdU+QE6K7J1S+kcx7qqImAh8IiLOSyk9WbLMxRExr3h5S0pp7hCr8/mU0vcAIuIG4DDg3cDOKaVHivFPA74UETumlO4qWjF9CPiflNInKwuKiDnkpNdh5OTdSEwATqgkiSLiWnLi7M1AJXG0L3BqSukHVfP9ZITrkyRJXcBL1SRJ0mi8HfhHSml68foq4G7qX67245rXPwI2AZ5dvP4bMC0iTo2IfSJi3ZrpX05uoXRRzfgLgfXJiYtWeQ1wPTA/ItarDMBvyS2j9mzy+n5deVK03rofuK6SNCrMKh53KB4PIn+/+0FNHa8HHiXvv5F6vKplESmlFcAc4BlV0/wN+FBEfCAi9h7s8kFJktT9TBxJkqQRiYh9yMmSn0bExKLlzQTgp8CLI2K3ktnuq/N6u+LxfcD5wDvJSYj7I+KLEVG51GkL4MGU0sqa5dxbVd4qW5MTL0/UDJUWNVs2eX21l/qtrDMOYMOqOgLMZWA9J4yyjmWXHq6oWjfklma/BP4fcBvwr4j4eHU/VpIkac3ipWqSJGmkKq2KPlwMtf6D3K9PtW2Af9a8BvgXQEppKXAKcEpE7AgcCXyWnCD5MPAgsEVErF+TPNq2eHywQX2Xk1slPSUihpNIWUJu9fOBOuWzh7GsVllSPL6K8kTPkpJxTZNSuh94L/DeiJhMjpH/ARYD57Vy3ZIkqTX890eSJA1bRKxP7tvmemD/kuEW4JiSS5WOqnn9JmApuZPrflJKd6WUzi7KKpeyXUP+/vLGmsnfSk4uTae+u6qWU/HakulWkDvArvUbYHdgQUrphpLh0QbrXlE8li23ma4kX8r3jDp1nN/i9T8lpTQ7pXQqOYFVu98lSdIawhZHkiRpJF5LvuzppJRST21hRJxPbmEylb6OkwHeVVy29Ddyx8rHAqenlB4u5ptOvtRpBjmh9ArgueROtyH3+/Mn4GsRsRUwk9xh9rHAmYN0jP0j8p3JvghcXix3Wsl0fye3ajoeuAFYnlKaQb7j29HAH4tlzAY2JieTXpZSen2Ddf+9eHxvRHyXfOnYbSWX3I1K0bn354CvFi1+riG3tNqB3P/RN6v7KWqmiNiM3MfVD8h9Lz0BvB7YHPhdK9YpSZJaz8SRJEkaibeTO1uud8esHwJfKKarTlS8HvgK8DHgYfJt4j9VVX4tuVXSR8jfU/4J/HdK6csAKaXVEfFa4DPkS9e2BO4EPki+TXwj3yUnUP6TfHeyPwL/Tu4PqNo3gRcX65hIbqm0U0rp4YjYD/h4se7tgF5yAunSRitOKd0aEacDxwHvIrea2rmoe1OllE6NiDsoLhkDErAQ+D3wj0bzjtJy4Cby9u1Ibvk0G3hrSukXLVyvJElqoUgpdboOkiRJ6gIRkciJvE8Cq1ILvigWd3l7Bbl10kEppauavQ5JktQ89nEkSZKkah8jX2b29sEmHK6I2L5YtskiSZLWEF6qJkmSpIp/q3reio6076tZRzfciU6SJDXgpWqSJEmSJEkq5aVqkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVOr/A3NkwlBDfHA/AAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 16.25), ('RE1', 17.5), ('FE2', 22.5), ('FE1', 23.75), ('RE1', 26.25), ('RE2', 26.25), ('FE2', 32.5), ('FE1', 33.75), ('RE1', 36.25), ('RE2', 36.25), ('FE2', 42.5), ('FE1', 43.75), ('RE1', 46.25), ('RE2', 46.25), ('FE1', 51.25), ('FE2', 51.25)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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nH82gr1Xdc2qK31g8XptS+mNNGSn3UVH3FubDtDH1929leOrf6dEe/4jYgtz6CvIPlgEtQFK+RfSA7S7m36mY/0nyHaXq+V7xeGBEtPJSotLLwCJiIn0tKD+fUhpwW/GU0s3AT4uXb26wjs+llFLJ+N82qkfKrRJ+X7ysjbHBTKh6Xu+W6LVl1fNUX6JzWp15P1r1vLavp8qyGq27unxCbUHkPsROJLfs+vAgyxmyiHgpfXfG+mFK6epmLbsZIuJo8qV5kGNvdqPpyR0030e+A1fFEuAk8h29BvNgMf9DVePuAt5PvnyyTC/5/fsi+u5YN5582enFxTQHAz8cwvqHa/Oq558lfza8KKU0IeWWky+m6JSa3CL0hcNc/mhjd7TzX1E87ky+lLifonXj+6tGlfazJmlsMHEkqdtV/ygdXzX+e8Dz0jBvgZ1yJ6GVH0i/iYhPRsSLImL9ptQ29y9Sprrvji2qnu9CXx8t9b44Q27ZMGKRO13+UERcE7lT7JVVHepWf+ls1DnpcLdt56rXjX4wNevH1P4ppagznFOZKCLWiYi3RMQvI2JB0YFwqtoflS//7b79cL39C337eIua8c8vHlsWO1X+p8H+rQx3Vk0/2uP/PPouTxrJ9lUuD1oH+HtNEvqpgb6+QTYmX77ZCsvIl6GWeT5923lVg2VcWTw+p7j8qcxf64y/r3h8MKX0z0Gm2bxOeUsUidGfFC+PjYgvRL4ZwbiI2C0ivk3u36rSn1RZ8nrEinP/t8lx8r5U3kHxSJa7OznZtz65xdy7m7HcZomIlwHfKV5eTYNLPitSSh9O+VLMSeT3y0HkfokuIPfD1uiPB1JKbynm34KchDiC3MLzZ9S5DDPlzsc/lFL6ayWpmrJbU0pvou/ytkMj4pW1849S9e+k5cBrU0pPvcdSSteTY3MZua/Ej7Jm+Q59f0qcHxHviYgtI2KD4jLh35H/YHuymKap7z1JaxYTR5K6WuUHKfl89XTyv6O95Lv4DNYnTz3Hkv853Ar4GHAd8GhE/KlIrtT+OB9OfR+tM/7JqpfVP/q2qnper2NYgGElyKoVfZb8nXxnopcX63yCvg5+76uavG7LnBFsW3UH043qv6hBWVMVHbleBfwAOIzcb8w69P0TXt3h8ZBaKTVR6f4tVPZxbcKgEj8tiZ1RGu3xH+174+nF4zo0biU1qWqe6uR0My2p01oPhr+f1mNgAhGo/x6lL35GEmODqV5mo/1XXVZbj/+kL4H43+QfsyvJ/Xu9g9yqsdIy8qGaeSvLGuzYVcpr1/1xcr9Lv0hNumtWcc69mhzDs4EDGxybtouIfcn7cyNyn1qvrzmPDyql9HhK6SrgZeQbO7yQ3MH6UOd/NKX0U3KrnYXku+udPpw6FE6lr3Pvw0cwfyPVx+yiVNJ5e0ppIblvMYADhtlqcbSxO6r5U0qPkRNfd5E/784jX3a4nBwXLyZfStpbzFL73pM0hpg4krRGKP5hvCeldD7w7+Tr7f93JP8wppQWkP/lfw35VrM3ks+HLyEnV+a24J/LIVWtRcv9Drn1zJ3kS5u2TLlT6K1T7uC3+m5orepktFt8lNwvzjLyD9QdgQ1TSlsW/4RvS1/LnzVpX7QqdrrFSLav8gPuviG0lCprMdVMLbvdeheo/jFdemfFmrJHUr7L2lOKpMpB5MtlfkHu6+lOcpL37eRzfiVZNqfO+hutu7r8qfpGxK7kS9MeAz4cEZvUDlXzr18yboAiafQHckuNOeSWkPcOUre2KZJGvyFftjQdOLj2eAxHSmkluWN/gCOG+8dL0cKr0vLpXQ0mrTf/Uvo6j95luPMPojqRe0fdqfruSjbcVouVWNw8Gt/qfkDs1rweduxXpJT+Tu5H70Pk1pvzye+/HwOvIPcBN7GYvPa9J2kMMXEkaY2TUuoh3xo3gK+MpF+SlNLqlNJvU0ofSCntQ/5R8lZyJ52bAxc18fK1RhZXPX963akG/2JYKiJ2oK+vnjenlC4p6Uep4eUFo1Ddp81QflC2w5uKx0+mlM5JKS0o6ROmVfujFSrx0/TYaYLRHv/RvjcqP9YnRb6tdreq3k+NLo+slD1JbiHXLarvBtXo7lKVstJbfxfn5B+mlA5PKe2WUto5pXRQSul75CTgc4tJa+9YV1n/1pFv7T5A8Rmxe/FyZlXR9uQWXBuT+8x7tGSoOKUyruiXqmw9laTR08k/vvdPKd1TNm0nFJcf/ZZ8mdh04NVNaglVnWDZdRTzbxoRWzecsr1uG+J01X8yDCfJPdz3zsya8aOJ/acUrb/OSintn1LapXj/HZ1yv3nPJb9HYOB7T9IYYuJI0prqk+R/8fck/yM9KsUXp4vIl0xAvoSlHbee/Sd9zcCnNpiuUVkjO1Q9v7nONAeOcNmDmU/fD9z9G0zXztZdlf1Rui+KDpVH8sOnUyr95kxtME2jslYa7fG/mb4fYVMbzF+v7M/F47rkznO71U309R1yQIPpKu/TW1NKTzSYrt3mkBPukFtxDlAk7l5WvPzdCNZxGLAZuaXgT2rKrqx6Xrp+cmvSSsfAI1n/oIqkUQ85aTSHfAfDRpdYtlWRNKpuafSaJl4+V93SZyTLrJ5/WK2fihZglcTK/EbTDldKaS75MxpgjwaT7lk8PkL/jsMH8ydyTEP9986OVeuujd12xP7bisfrU0q2OJLGMBNHktZIKaV59N1R5WMNOovtZwitiJZVPW95R5BFa5fK3ZLeExEDOqaNiGcBR41wFQ9XPX9ubWFETKD+nYxGpdi2yt3g3hMRk2qniYg9gSNbsf46KvtjwL4ofLZdFWmSyh3JXh4RL6ktjIgNgJPbW6VstMe/aBn3h+LlSWXv3Yh4OX0Jidr5/0Ffx9mfjojNGtV3NH2bjUZxqU7lrmcfKvrh6icinkvf3RdbcfeoESuOc+XOdG8qkq+13gtsQk72/2A4yy9aUlTuivd/KaV+/awUnX3/qXh5Up3Pgo8Uj3cB11bN2zPY5YtVy6juHL63po6VpFH15WndmjT6C7ml0SNDnHe9Qco3Ad5XvLyX3KfTcObfltyPFcBTHWBXlQ92yfAZwIbF8180mnCELige3xIRA1o+Fq16K3c6vKJBX2YDFH0MVfrVOr7OOapyl79Hqblz3Whifygi4sXA8cXLM4Yzr6S1j4kjSWuyM8ktEnair6XQYPaLiNsi4r8jYo+IWAfyl9Piy/V5xXSLGHoz9dE6k5yw2gb4XUQ8r6pOryT/qBzsdrv13EFfa4BvR8QLKgVFXxc9tPYuSmeSv/BOAq6MiH2KdUdEvIp8K+6RbttIVO6gdVpEvKHyoyYido6Ii8gJujWpA9CLyZcfBPDTiHh95dLNiJgMXE5nL70b7fH/BPk9/mzgl0USlYhYLyLeQP7R1eh4vY/cgmE34Lpi/1R+ZBIR20XEMRHxe+BzI93IJjiN3Cn7rsBvI2Lvon7rRMQh5Ntmr0e+g9X5HatlfWeRkwbjgV9VzjMRsX5EHA98qpju62WtFiLitRHxgYh4ZlX8jo+IN5Jbx+xCvqFBvTt/fZiclHou8KOI2K5YxhYRcS59Lc7+X0qpqf1NFf0kVfo0ms0IWhpFvovVpMpATrJVyibVDMP67l78+K8kjf7M8FsaXRIR/xv57qPV752NI+J1xTIrLW4+XpI4+VNEfDwinlud2IiIiRHxVvLx3Zr8Pi87vn+v83m9d0RcCHygmO7XRWfdZftgUs3+rdikpqysk+kvkJMuldiu3HWT4vnl5E7Gl5FbQteu+4Lou2NnmY+T+9h6GvnOcpVz3MYR8XHyDUEAzqhNmhZGFfvF++4tEbFN1bitI+IkcoumceT37eV16i9prEgpOTg4OHTVQL6zSqL4M3uQaX9eTLsQ2KBq/NSyZVSPL4aV5LuIPFE17mHgZTXz7VRVvlO9ZQ5S18r8U0vKjqypwyPkL5OJnMSaVjxfPoL9eWjNsh+rWvZS8uUxpXVr0ra9lnyXlupte7x4fjf53+YhHe+SZU9ttO6S6Xck/8CtzPME+VLByutTyMm0BJxeMv+dRdm0JpYNWv9B6rQ7cE/VcpZXbdPy4vhXyl48gn1cmXdpse8aDT9t9vEHTqyaN5ETRZXlzagqn1Vn/pfU7J8nye/5x2uW+40R7Ju6x6Uon1aU3zmEZR0NrKiqz8PkH6OV1wuAPRq9Bxose9B60Hfe7Rnufijmf0GxX6uP88qq17+l6hzd4BhX+nBaVTXuGmCLQdZ/LP3Pcw+RW41WXpceo2HEf71j/O2aY9bwPTLI8RnKsNMw63911bwPDlK/vzWI8VQck4eK5VTv2xXkxETZ+u+sObZL6H/OTeTk8jGD7P9E3+d17Xv3V8CEIRzDwYZ6x3h38udwdX0frXl9aJ15L6hM16B+h9D3mZyK/fNk1etvA9GK2KfvO1Qin28ernq9mnwDkXVG8t5xcHBYuwZbHEla0326eNweePcQpv8buVXJeeS7qT1A7ih0OXAL+a5qe6TcKWTbpJQuAfYh99+xGNiAfGv4LwHPo+8Sq94RLPty4OXkL9e95JYLD5DvZPOClNLvR1f7Qdf/K/Jd7H5E7gh4ffK2fZW8bfNbuf6autxF3s/fou8OM8vJ/xq/OqV0Zrvq0iwppVnAc8hf8O8ktz5aTr5M7MX09fUDI4ifKhvT+Lb221Bym/jRHv+U0jnk5MgV5B9EG5K38wzy9lUuZemtM/+fyS2OTiZfqtFLvkvQKnKLvAvJHeOf2KgerZZSuhjYi9yiaB75HPAk+bz0CeDZKaVGd3bqqJTSjeT6f5HcMfQ48o/hP5HvlnVwSmlFndmvBL5C7tfqIXKs3Qf8kpxQm5oGdupfu/5vAi8i3xr9X+QWIveTfxgfkFI6feRb11D1d+lNGfw90m7V9du8Qb22Aco6WD4J+Bj5GN1J/vyYQE4eTQc+A+yZUvrfOut/O/lz+lpy8mVDcgud+8kJwY8Cu6WUvl9n/uPIn1W3FevclJzUmEe+bPOQlNJrU/P6axqgOMfuRW5RVGmJvC65hdmXye/NEbfISSldQT6Hf4O8jzckvw+uBI5MKb0zpZQazD+a2D+ffLOR2eTE3Prkfp2+A+yXUnp/Gsbld5LWXtHgPCRJ6hIR8WngVODqlFKjDnSlfiLiIHKnqMuBTVN3daw8ahHxA/Jt3L+dUhrqJauSJEkaIlscSVKXi9w57LHFy980mlaqVnQsW+lc9eq1MGm0G/CG4qXvDUmSpBYwcSRJXSAi3h8RH4mIXas6bN6g6Bj3WnLnoYvJfR1IT4mI/SPinIjYJyI2KsZF0UHxZfT1YVXvUpKuFhGfjIj/iohnVHWOu3FEHE3ulHhDYBY1dxySJElSc3ipmiR1gYg4h767w6wi92m0Kbk/CYrXh6eUetpeOXW1iDgc+FnVqIfIfYhU7oCUgJNTSl9oc9WaIiJ+Dry+ePkEuSPaifT9+fUv8p2ibm975SRJksYAE0eS1AUi4nnA28idWG8HbEm+U8188t2IvpRS+lfnaqhuFRHbki9lPIB82/KtyB1G3w38EfhqSumGztVwdCLiFeQOkvcj37J6C3Kny3PInZp/dbCOkyVJkjRyJo4kSZIkSZJUar3BJ+keEydOTLvuumunq6Ex5LHHHmPjjTfudDU0hhhzaifjTe1mzKndjDm1k/GmdmtmzN14440PpJS2KitboxJH22yzDTfcsMa2ttcaqKenh6lTp3a6GhpDjDm1k/GmdjPm1G7GnNrJeFO7NTPmIuKuemXeVU2SJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSrU9cRQRr46IqyPi3ohYERGLIuLHEbFnu+siSZIkSZKk+tbrwDq3AG4EzgUWA88APgJcFxF7p5Tu6kCdJEmSJEmSVKPtiaOU0g+BH1aPi4i/ArOAI4Gz210nSZIkSZIkDdQtfRwtKR6f7GgtJEmSJEmS9JSOJY4iYt2IWD8ingWcD9xLTUskSZIkSZIkdU4n+jiquB54QfF8LvDKlNL9jWYYv3AhTJ3af+RRR8EJJ8Djj8Mhhwycadq0PDzwABx55MDy44+Ho4+GhQvhmGMGlp90Ehx2GMyeDe9+98Dy006DAw+EW26BE08cWP6Zz8B++8Ff/gKnnjqw/JxzYMoUuOoqOOOMgeXnnw+TJ8Nll8HZJVfxff/7sMMOcPHFcN55A8svuQQmTYILLshDrSuugPHj4dxz4cc/Hlje05MfzzoLLr+8f9lGG8Gvf52ff+pT8Pvf9y/fcku49NL8/JRTYPr0/uXbbw8XXpifn3hi3ofVdtsNvv71/Py442DOnP7lU6bk/QfwtrfBokX9y/fdF848Mz8/4ghYsqR/+QEHwMc+lp8ffDAsW9a//NBDYZ998vPauANjz9jLz5sce1N6e/MyTz45jzD2BpYbe/l5E2Jvyj33wMSJfeWHHmrsGXud+8w19oy9FsTejrvs0hdTxt7AcmMvP29S7E3p7e37XPW8Z+xB62OvTTqZODoG2BTYBTgZuDIiXppSurN6oog4DjgO4NnjxtHb29tvIffPmcPdPT2ss3w5z6kpA7h31izu7elh3MMPs1dJ+b9mzmRxTw8b3H8/e5SUL5wxgyUTJrDRggVMLim/69ZbeWi99dhk7lx2LSn/50038cjKlWx6++3sUlI+94YbWNrby+a33sqOJeWzr7+eZffcw5YzZrBDSfkd06ezYt48tpo5k+1Kymf++c88sdlmbDtrFtuWlN927bWs3nBDnj5nDluXlN9SvKF2mDePLWvKVy1bxoyifMf589m8pvyJ1auZWZTvvGABm9WUrxg3jjuK8l0XLWKTmvLH776bOUX5bnffzfia8qWLFjG3KN/jvvvYoKb84QULmF+U77V4MeMeeaRf+UPz53NXUb73gw+y7ooV/cqXzJvH0t13p6enJ38I1DD2jD1ofuytWrWKefPmsbAoN/YGlht7ubwZsceqVf0+V5cYe8YerY29pUuXsqTOZ66xZ+y1IvZWrlxJzyDf94w9Y69Zsbeq6nN1KL81jD1jb7Sxt3Tp0qfOca0UKaWWr2TQSkRMBO4EfpRSek+96SZPnpxmz57drmpJ9PT0MLXsHwCpRYw5tZPxpnYz5tRuxpzayXhTuzUz5iLixpTSPmVlXdE5dkqpl3y52q4drookSZIkSZIKXZE4iohtgN2BeZ2uiyRJkiRJkrK293EUET8DbgJuAx4BdgP+G3gSKOkVS5IkSZIkSZ3Qic6xrwOOAk4C1gcWAj3AmbUdY0uSJEmSJKlz2p44Sil9Dvhcu9crSZIkSZKk4emKPo4kSZIkSZLUfUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVGq9RoUR8e1hLCullP5zlPWRJEmSJElSl2iYOAJeCaQhLmuo00mSJEmSJGkN0DBxlFLaqU31kCRJkiRJUpexjyNJkiRJkiSVGlbiKCI2joj3R8QlEfGHiHhWMf5NEbF7a6ooSZIkSZKkThisj6OnRMQOQA+wPTALeDYwoSjeHzgQOLbJ9ZMkSZIkSVKHDKfF0dnACmA34AVAVJVdA7ysifWSJEmSJElShw25xRFwEHBcSumuiFi3puxfwHbNq5YkSZIkSZI6bTgtjtYHHq1Tthnw5OirI0mSJEmSpG4xnBZHtwFHAL8pKTsYuLEpNZKkKs97HixeDLvu2umatEdv7xQmTux0LQaaOxe22gpuvrnTNWm9sRRz3RpvMHZibizFG3RvzI2VeANjbqTGUoxIUq3hJI4+D1wSEQAXFeP2jIjXA/8JvK7JdZMkFi+GpUs7XQuNpWNgzHWHsXIMjLfuMJaOgTE3Mu4zSWPZkBNHKaWfRsQJwGeBdxajv0e+fO2/UkplLZEkaVQq/4j29HS0Gm3T03MLU6dO7XQ1BujCKrXMWIq5bo03GDsxN5biDbo35rqwSi1jzI3MWIoRSao1nBZHpJS+FhHfB/YFtgaWAH9JKdXr+0iSJEmSJElrqGEljgBSSo8BV7WgLpIkSZIkSeoiw0ocRcQ6wAuBZwAb1panlL7XpHpJkiRJkiSpw4acOIqIPYGfA88EomSSRO7zSJIkSZIkSWuB4bQ4OreY/ihgBrCiJTWSJEmSJElSVxhO4uj5wLSU0k9bVRlJkiRJkiR1j3WGMe0DwMpWVUSSJEmSJEndZTiJoy8C742IdVtVGUmSJEmSJHWP4VyqthUwGfh7RFwJPFhTnlJKn2hazSRJkiRJktRRw0kcnVb1/Fkl5QkwcSRJkiRJkrSWGHLiKKU0nMvaJEmSJEmStIYzGSRJkiRJkqRSw7lU7SkRsTWwYe34lNKCUddIkiRJkiRJXWHIiaOI2BT4EnA0sEGdybzjmiRJkiRJ0lpiOC2O/g84AvgWMANY0ZIaSZIkSZIkqSsMJ3H0GuBDKaX/a1VlJEmSJEmS1D2G2zn27JbUQpIkSZIkSV1nOImjHwGHtaoikiRJkiRJ6i7DuVTtd8A5ETEBuAJ4sHaClNLVzaqYJEmSJEmSOms4iaNfFI87A9OqxicgikfvqiZJkiRJkrSWGE7iaP+W1UKSJEmSJEldZ8iJo5TSNa2siCRJkiRJkrrLcO+qJkmSJEmSpDFiOJeqERF7AccCk4ENa4pTSumAZlVMkiRJkiRJnTXkxFFEvAi4BrgTeBZwG7A58AxgETC3BfWTJEmSJElShwznUrXPAD8F9iLfRe0/U0o7AQeS76Z2RtNrJ0mSJEmSpI4ZTuLoOcCFQCperwuQUrqanDQ6s7lVkyRJkiRJUicNJ3G0PvBYSmk18CDwtKqy2cCzm1kxSZIkSZIkddZwEkdzge2K57cB74yIdSJiHeAdwL3NrpwkSZIkSZI6Zzh3VbsMmApcRO7v6FfAI8AqYBPg/c2unCRJkiRJkjpnyImjlNLpVc+viogXA0cA44HfpJR+1/zqSZIkSZIkqVOG0+Kon5TSzcDNTayLJEmSJEmSushw+jgatYg4MiIujYi7ImJZRMyOiDMjYkI76yFJkiRJkqTBDTlxFBHrR8QnImJWRDweEatqhieHsJiTyX0inQq8BjgPOB64suhkW5IkSZIkSV1iOJeqfR54L/Br4KfAihGs77CU0uKq19dExIPAd8kdb189gmVKkiRJkiSpBYaTODoS+ERK6dMjXVlN0qjib8XjdiNdriRJkiRJkppvOImjTYDpLajDK4rHOwabcPzChTB1av+RRx0FJ5wAjz8OhxwycKZp0/LwwANw5JEDy48/Ho4+GhYuhGOOGVh+0klw2GEweza8+90Dy087DQ48EG65BU48cWD5Zz4D++0Hf/kLnHrqwPJzzoEpU+Cqq+CMMwaWn38+TJ4Ml10GZ589sPz734cddoCLL4bzzhtYfsklMGkSXHBBHmpdcQWMHw/nngs//vHA8p6e/HjWWXD55f3LNtoIfv3r/PxTn4Lf/75/+ZZbwqWX5uennALTa8Jn++3hwgvz8xNPzPuw2m67wde/np8fdxzMmdO/fMqUvP8A3vY2WLSof/m++8KZZ+bnRxwBS5b0Lz/gAPjYx/Lzgw+GZcv6lx96KOyzT35eG3dg7LUr9hYuzMduatU2rsWxN6W3Ny/z5JPziG6JvVuK7Z164tofe/TkhzFw3ptyzz0wcWJf+aGHdk/s3VK8L6rf+2tj7FW/t8b6Z24nY2/JJbDlpLHxmXvLfnlc9XtrLY69HXfZpS+mRhN7q1fBbTP67zfw+56/NfLzIvam9Pb2fa52+3nP2MuPa3rstclwEkeXAS+niZeTRcR2wCeBq1JKN9SZ5jjgOIBnjxtHb29vv/L758zh7p4e1lm+nOfUlAHcO2sW9/b0MO7hh9mrpPxfM2eyuKeHDe6/nz1KyhfOmMGSCRPYaMECJpeU33XrrTy03npsMncuu5aU//Omm3hk5Uo2vf12dikpn3vDDSzt7WXzW29lx5Ly2ddfz7J77mHLGTPYoaT8junTWTFvHlvNnMl2JeUz//xnnthsM7adNYttS8pvu/ZaVm+4IU+fM4etS8pvKd5QO8ybx5Y15auWLWNGUb7j/PlsXlP+xOrVzCzKd16wgM1qyleMG8cdRfmuixaxSU3543ffzZyifLe772Z8TfnSRYuYW5Tvcd99bFBT/vCCBcwvyvdavJhxjzzSr/yh+fO5qyjf+8EHWXdF/6svl8ybx9Ldd6enpyd/CNQw9toTeztvvJoNH7mn33t/bY69VatWMW/ePBYW5d0Se3uMmwlAb2/vWh97k3bNH87zxsB5j1Wr+r23lnRR7O0xbl2AfvVbG2Ov+r01Fj5zly5dypI6n7mdjL3tN/0nyyct5/rrr1/rP3P3GLcZ0P+9tTbH3sqVK+kZ5PveUGJvqy12YtK4mQN+i/h9z98a0Bd7q6o+V4fyW6NbPnONvf7la1LsLV269KlzXCtFSql+YcQuVS+3Ar4H/AC4AniwdvqU0j+HvOKITch/6z4deGFKaVHjOWDy5Mlp9uzZQ12FNGo9PT1MLfsHQGoRY07tZLyp3Yw5tZsxp3Yy3tRuzYy5iLgxpbRPWdlgLY7mAtWZpQBOBz5Ru45iunWHWKGNyC2YdgFeMZSkkSRJkiRJktprsMTRO+mfOBq1iBgHXALsAxyUUprRzOVLkiRJkiSpOQZLHH0PeC0wP6V0e9kEEbE3sFNK6bLBVhYR65AvdXslcGhK6bph1leSJEmSJEltss4g5W8Dfgg81mCaR4GLIuLNQ1jf/wFvBM4GHouIF1cN2w+pxpIkSZIkSWqLoSSOvpNSml9vgpTSncC3gbcPYX0HF48fBabXDMcOYX5JkiRJkiS1yWCXqj0f+MoQlnMV8NbBJkop7TSEZUmSJEmSJKkLDNbiaALw0BCW81AxrSRJkiRJktYSgyWOHgB2HMJynlFMK0mSJEmSpLXEYImjPzG0voumFdNKkiRJkiRpLTFY4ugc4ICI+GJErF9bGBHjIuIc4JXAF5tfPUmSJEmSJHVKw86xU0rTI+Ik4GzgrRHxO+CuonhH4CBgS+CklNJ1La2pJEmSJEmS2mqwu6qRUjonIm4CPgz8O7BRUbQM6AE+m1L6Y8tqKEmSJEmSpI4YNHEEkFK6Frg2ItYBJhWjl6SUVrWsZpIkSZIkSeqoISWOKlJKq4H7W1QXSZIkSZIkdZHBOseWJEmSJEnSGGXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklRqvU5XQJLa6XnPg8WLYdddO12Tcr29U5g4sdO1aK25c/PjkUfCOed0tCqluj1GmmksxBvkmNtqK7j55k7XZKCxFG9gzHUDY25kuvmYSlKrmTiSNKYsXgxLl3a6FmNbt+9/Y2Tt083H03hbO3XzMTXmRsZ9JmksM3EkaUyp/MPa09PRatTV03MLU6dO7XQ1Wqqyed3Y2gi6P0aaaSzEG/TFXDcaS/EGxlw3MOZGppuPqSS1mn0cSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSrV9sRRRGwfEV+JiOkR8XhEpIjYqd31kCRJkiRJUmOdaHG0K3AU8BDwxw6sX5IkSZIkSUPQicTRtSmlbVJKhwA/6cD6JUmSJEmSNARtTxyllFa3e52SJEmSJEkaPjvHliRJkiRJUqn1Ol2B4Ri/cCFMndp/5FFHwQknwOOPwyGHDJxp2rQ8PPAAHHnkwPLjj4ejj4aFC+GYYwaWn3QSHHYYzJ4N7373wPLTToMDD4RbboETTxxY/pnPwH77wV/+AqeeOrD8nHNgyhS46io444yB5eefD5Mnw2WXwdlnDyz//vdhhx3g4ovhvPMGll9yCUyaBBdckIdaV1wB48fDuefCj388sLynJz+edRZcfnn/so02gl//Oj//1Kfg97/vX77llnDppfn5KafA9On9y7ffHi68MD8/8cS8D6vttht8/ev5+XHHwZw5/cunTMn7D+Btb4NFi/qX77svnHlmfn7EEbBkSf/yAw6Aj30sPz/4YFi2rH/5oYfCPvvk57VxB8bemhp7t5wDG2wA7JFfd1nsTentzcs8+eQ8Ym2MvaWXwyabdG/s0ZMfxsB5b8o998DEiX3lhx66dsbeLecUj3Tfea9St6kn+pm7NsVe9XGF7vrMvWW//nWDtTr2dtxll76YGk3srV4Ft83ov9+g+2KvVjfF3hj4rTGlt7fvc3WsnfdqGXv5eatjr026PnEUEccBxwE8e9w4ent7+5XfP2cOd/f0sM7y5Tynpgzg3lmzuLenh3EPP8xeJeX/mjmTxT09bHD//exRUr5wxgyWTJjARgsWMLmk/K5bb+Wh9dZjk7lz2bWk/J833cQjK1ey6e23s0tJ+dwbbmBpby+b33orO5aUz77+epbdcw9bzpjBDiXld0yfzop589hq5ky2Kymf+ec/88Rmm7HtrFlsW1J+27XXsnrDDXn6nDlsXVJ+S/GG2mHePLasKV+1bBkzivId589n85ryJ1avZmZRvvOCBWxWU75i3DjuKMp3XbSITWrKH7/7buYU5bvdfTfja8qXLlrE3KJ8j/vuY4Oa8ocXLGB+Ub7X4sWMe+SRfuUPzZ/PXUX53g8+yLorVvQrXzJvHkt3352enp78IVDD2FszY2+PcTNZtcFG9PTcB3Rf7K1atYp58+axsChfG2PvaZPu5ImJE7m1S2Nv0q75w3neGDjvsWpVv8/VJWtp7O0xbiYAN9ywrOvOe5W69fb2jonP3KVLl7Kkzmfu2hR71ccVuuszd49xm/WrG6zd3/dWrlxJzyDf94YSe1ttsROTxs0c8Fuk22KvVjfF3lj4rbGq6nN1KL811qbzXi1jL5e3OvaWLl361DmulSKl1PKV1F15xLHAN4CdU0p3Djb95MmT0+zZs1teL6mip6eHqWX/AEgtYsypnYw3tZsxp3Yz5tROxpvarZkxFxE3ppT2KSuzjyNJkiRJkiSVMnEkSZIkSZKkUh3p4ygiKr13vaB4PDgiFgOLU0rXdKJOkiRJkiRJ6q9TnWP/pOb1ucXjNcDU9lZFkiRJkiRJZTqSOEopRSfWK0mSJEmSpKGzjyNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqVSklDpdhyGLiEeB2Z2uh8aUScADna6ExhRjTu1kvKndjDm1mzGndjLe1G7NjLkdU0pblRWs16QVtMvslNI+na6Exo6IuMGYUzsZc2on403tZsyp3Yw5tZPxpnZrV8x5qZokSZIkSZJKmTiSJEmSJElSqTUtcfT1TldAY44xp3Yz5tROxpvazZhTuxlzaifjTe3WlphbozrHliRJkiRJUvusaS2OJEmSJEmS1CZdnziKiB0i4pKIeDgiHomIn0bEMzpdL60dImL7iPhKREyPiMcjIkXETiXTbRgRn4+IeyJiWTH9yztQZa3BIuLIiLg0Iu4q4mh2RJwZERNqpts8Ir4ZEQ9ExGMRcVVE7N2pemvNFBGvjoirI+LeiFgREYsi4scRsWfNdH7OqmUi4jfFZ+sZNeM9z2nUImJqEV+1Q2/NdMabmiYiDomIayNiafG5eUNEvLKq3HhTU0RET51zXIqI31RN1/KY6+rEUUSMB64GdgfeDhwDPAv4Q0Rs3Mm6aa2xK3AU8BDwxwbTfQt4F/Bx4FDgHuC3ETGl1RXUWuVkYBVwKvAa4DzgeODKiFgHICICuKwofx9wBDCOfN7bvhOV1hprC+BG4L+AVwGnAHsB10XEjuDnrForIt4MPLdkvOc5Ndv7gX2rhgMrBcabmiki3g38gvz5+u/AG4GfAOOLcuNNzXQC/c9t+wIfLMp+CW2MuZRS1w7AB8g/snatGrcz8CTwwU7Xz2HNH4B1qp4fCyRgp5ppnluMf0fVuPWA2cAvO70NDmvOAGxVMu4/ivh6ZfH69cXr/aum2Qx4EPhyp7fBYc0egMlFfJ1UvPZz1qElA7A5cC/w5iLmzqgq8zzn0JQBmFrE0oENpjHeHJoyADsBy4ATG0xjvDm0dCA3aFgBbFG8bkvMdXWLI+B1wHUppbmVESml+cCfyTtIGpWU0uohTPY64Ang4qr5ngR+BLw6IjZoUfW0lkkpLS4Z/bficbvi8XXA3SmlP1TN9zD5nwTPexqtJcXjk8Wjn7Nqlc8Bt6eUflhS5nlO7WS8qVneCawGvtZgGuNNLVO0FH8jcFlK6cFidFtirtsTR3sBt5eMnwnsWTJeaoW9gPkppcdrxs8E1idf7iaN1CuKxzuKx0bnvWdExCZtqZXWGhGxbkSsHxHPAs4ntwKp/Jj3c1ZNFxEvJbemfG+dSTzPqdl+EBGrImJJRFxU00+b8aZmeSkwC3hTRMyLiCcjYm5EVJ/rjDe10r8DE4DvVo1rS8x1e+JoC3LfM7UeJDeBltqhURxWyqVhi4jtgE8CV6WUbihGDxZvnvs0XNeTmzTPAZ5Dvizy/qLMz1k1VUSsT05QnpVSml1nMs9zapaHgbPJ3Q28EvgUuX+j6RGxdTGN8aZmeTq5H8DPA58l9x94JfDViPhAMY3xplb6D+B+4NdV49oSc+s1YyGSpOEpsv+/IF8y9I4OV0drt2OATYFdyB20XxkRL00p3dnRWmlt9f+AjYBPd7oiWvullG4Gbq4adU1EXAv8ldxh9mkdqZjWVuuQW3tMSyn9tBh3deQ7Mp8SEV/uWM201ouIp5MT418quk1pq25vcfQQ5Rmyelk1qRUaxSH0ZXOlIYmIjcjXHe8CvDqltKiqeLB489ynYUkp3ZFSur7oa+YAYBPgI0Wxn7NqmuLyoI8CHwM2iIiJETGxKK68XhfPc2qhlNJN5BaW/1aMMt7ULJV+Aq+sGf87YBvgaRhvap23kfM3360Z35aY6/bE0UzyNXu19gT+3ua6aOyaCexcdEZWbU9gJTB34CxSuYgYB1wC7AMcklKaUTNJo/PegpTS0hZXUWuxlFIv+ZxV6ZvNz1k10y7AhsCF5C+qlQFya7eHgL3xPKf2SMWj8aZmmTlI+WqMN7XO24FbU0q31oxvS8x1e+Lol8CLI2KXyoiiKeBLijKpHS4DxpF7sAcgItYDjgZ+l1Ja0amKac0SEesAPyD3w3B4Sum6ksl+CWwXEa+omm9T4DA872mUImIbYHdgXjHKz1k10y3A/iUD5GTS/uTEpec5tUxE7ANMJl+uBsabmudnxeOra8a/BliUUroX400tUJzX9mRgayNoU8xFSmnwqTokIjYGbgWWka9RTuRO7yYAzzFjq2aIiCOLpwcA7wFOABYDi1NK1xTT/Ij8IfEhYD5wPHAosF/RJFoaVEScR46xTwOX1xQvSiktKpJLfwJ2IMfbQ8Ap5E6Nn5tSWtjGKmsNFhE/A24CbgMeAXYD/hvYFnhhSmmOn7Nqh4hIwKdTSqcVrz3PqSki4gfk72U3Ab3A88ix9Djw/JTSA8abmiUiAvg98FzyZbn/JP+xfCzwjpTSBcabWqHoP+t4YLuqG5xUytoSc12dOIKnrpf/InAQUHmznminnmqW4gttmWtSSlOLaSodfb4FmEj+ofXhlFJPG6qotURE3AnsWKf4f1JKpxfTbQGcBRxOvuxjOvDBkqapUl0R8WHgKOCZwPrAQqAHOLP6M9TPWbVabeKoGOd5TqMWEacAbyZ/to4H7iXfbegTKaV7qqYz3tQURUuOM4Ejyf3KzAI+m1K6qGoa401NU3RzcTdwXUrpsDrTtDzmuj5xJEmSJEmSpM7o9j6OJEmSJEmS1CEmjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSpFGLiG9ERIqIL9YpP70oX69N9ZlarG/qCOY9PCI+2OT6TCn2wRYlZSkiTm/m+kaqqEtlmNaC5W9fs44Dm70OSZLUXCaOJEnSqETERsBRxcu3tCs51EKHA01NHAFTgE8AAxJHwL7AN5u8vtH4FrlOv2rBsu8vlv3eFixbkiS1gIkjSZI0WocDmwJXAFsDr+lobdYwKaXrUkqLOl2PKouKOi1u9oJTSitTStcBf2/2siVJUmuYOJIkSaP1duAhYBqwrHhdzx4R8YeIeDwi7omIT0bEU99HImKTiPhKRCyIiBURcX9EXBURu1dNs2lEfDUi7i6mmR0R/x0R0aiSEXFnRFxQMv6pS8WK8rcD21VdTnVn1bRbRcTXIuJfxbpnRcRxg6x3GvCd4uU/qpa7U+36i9eVy/p2j4jfRsRjxf54R1F+TLHepcW+fGbJOo+LiFsjYnlEPBAR3yq7TG6oIuKCiFgUEc+LiD8Wx+8fEfGemum2jYjvVh2beyLi8ojYeqTrliRJnbWmNyWXJEkdFBFPBw4EvpFSWhwRPwfeEBGbp5QeKpnl58C3gTOBVwMfA1YDpxflXwReB5wK/APYEngJMLFY3zrkS6ieD3wcmAG8FvgCsFUx32h8qljOvxX1AFhRrHtT4E/ARkV95xfbcF5EbJBS+kqdZf4KOAM4DXgjUGlddM8gdfkJ8A3gLOAE4NsR8SxgKvARYBzwJeAi4EWVmSLis8BJwJeBDwHbFet/dkTsl1JaNch669m0WNc5wCeBd5C3fXZK6Q/FNN8HdizWuxDYBjgAGD/CdUqSpA4zcSRJkkbjbcC6wPeK198F3gwcDXytZPpvpJQ+Wzz/XZGMOSkizkkp9ZL7v/lBSulbVfP8rOr5IcBLgXeklC6oWs7GxXK+kFJ6YKQbk1KaFxGLgcolVdU+QE6K7J1S+kcx7qqImAh8IiLOSyk9WbLMxRExr3h5S0pp7hCr8/mU0vcAIuIG4DDg3cDOKaVHivFPA74UETumlO4qWjF9CPiflNInKwuKiDnkpNdh5OTdSEwATqgkiSLiWnLi7M1AJXG0L3BqSukHVfP9ZITrkyRJXcBL1SRJ0mi8HfhHSml68foq4G7qX67245rXPwI2AZ5dvP4bMC0iTo2IfSJi3ZrpX05uoXRRzfgLgfXJiYtWeQ1wPTA/ItarDMBvyS2j9mzy+n5deVK03rofuK6SNCrMKh53KB4PIn+/+0FNHa8HHiXvv5F6vKplESmlFcAc4BlV0/wN+FBEfCAi9h7s8kFJktT9TBxJkqQRiYh9yMmSn0bExKLlzQTgp8CLI2K3ktnuq/N6u+LxfcD5wDvJSYj7I+KLEVG51GkL4MGU0sqa5dxbVd4qW5MTL0/UDJUWNVs2eX21l/qtrDMOYMOqOgLMZWA9J4yyjmWXHq6oWjfklma/BP4fcBvwr4j4eHU/VpIkac3ipWqSJGmkKq2KPlwMtf6D3K9PtW2Af9a8BvgXQEppKXAKcEpE7AgcCXyWnCD5MPAgsEVErF+TPNq2eHywQX2Xk1slPSUihpNIWUJu9fOBOuWzh7GsVllSPL6K8kTPkpJxTZNSuh94L/DeiJhMjpH/ARYD57Vy3ZIkqTX890eSJA1bRKxP7tvmemD/kuEW4JiSS5WOqnn9JmApuZPrflJKd6WUzi7KKpeyXUP+/vLGmsnfSk4uTae+u6qWU/HakulWkDvArvUbYHdgQUrphpLh0QbrXlE8li23ma4kX8r3jDp1nN/i9T8lpTQ7pXQqOYFVu98lSdIawhZHkiRpJF5LvuzppJRST21hRJxPbmEylb6OkwHeVVy29Ddyx8rHAqenlB4u5ptOvtRpBjmh9ArgueROtyH3+/Mn4GsRsRUwk9xh9rHAmYN0jP0j8p3JvghcXix3Wsl0fye3ajoeuAFYnlKaQb7j29HAH4tlzAY2JieTXpZSen2Ddf+9eHxvRHyXfOnYbSWX3I1K0bn354CvFi1+riG3tNqB3P/RN6v7KWqmiNiM3MfVD8h9Lz0BvB7YHPhdK9YpSZJaz8SRJEkaibeTO1uud8esHwJfKKarTlS8HvgK8DHgYfJt4j9VVX4tuVXSR8jfU/4J/HdK6csAKaXVEfFa4DPkS9e2BO4EPki+TXwj3yUnUP6TfHeyPwL/Tu4PqNo3gRcX65hIbqm0U0rp4YjYD/h4se7tgF5yAunSRitOKd0aEacDxwHvIrea2rmoe1OllE6NiDsoLhkDErAQ+D3wj0bzjtJy4Cby9u1Ibvk0G3hrSukXLVyvJElqoUgpdboOkiRJ6gIRkciJvE8Cq1ILvigWd3l7Bbl10kEppauavQ5JktQ89nEkSZKkah8jX2b29sEmHK6I2L5YtskiSZLWEF6qJkmSpIp/q3reio6076tZRzfciU6SJDXgpWqSJEmSJEkq5aVqkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVOr/A3NkwlBDfHA/AAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 16.25), ('RE1', 17.5), ('FE2', 22.5), ('FE1', 23.75), ('RE1', 26.25), ('RE2', 26.25), ('FE2', 32.5), ('FE1', 33.75), ('RE1', 36.25), ('RE2', 36.25), ('FE2', 42.5), ('FE1', 43.75), ('RE1', 46.25), ('RE2', 46.25), ('FE1', 51.25), ('FE2', 51.25)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 2.5), ('RE2', 2.5), ('FE1', 337.5)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 10.0), ('RE3', 10.0), ('RE1', 18.75), ('FE1', 150.015625), ('RE1', 152.515625), ('RE1', 163.765625), ('FE1', 171.265625), ('RE1', 173.765625), ('FE1', 181.265625), ('FE2', 340.015625), ('FE3', 378.75)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('FE3', 151.25), ('FE1', 152.5), ('RE1', 157.5), ('RE3', 157.5), ('FE3', 161.25), ('FE1', 162.5)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 28.75), ('RE3', 28.75), ('FE2', 30.0), ('RE2', 36.25), ('FE2', 45.0), ('RE2', 47.5), ('FE2', 61.25), ('RE2', 66.25), ('FE2', 71.25), ('FE3', 102.515625)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE3', 1.25), ('RE2', 3.75), ('FE3', 161.234375), ('RE2', 164.984375), ('RE3', 164.984375), ('FE2', 169.984375), ('FE3', 169.984375)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 15.0), ('RE3', 15.0), ('RE2', 17.5), ('FE2', 176.25), ('RE2', 177.5), ('FE2', 185.0), ('RE2', 188.75), ('FE2', 195.0), ('FE1', 243.75), ('RE1', 247.5), ('FE3', 252.5), ('FE1', 253.75), ('RE1', 258.75), ('FE1', 263.75), ('RE1', 268.75), ('FE1', 271.25)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 38.75), ('RE2', 38.75), ('FE1', 157.484375), ('FE2', 167.5)]\n"
+     ]
+    }
+   ],
+   "source": [
+    "usefull_events_1 = extract_usefull_events(event_time_1, dif) "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Finalmente, en la siguiente lista, cada elemento muestra qué par de triggers registraron un evento con una distancia temporal menor o igual a dif nanosegundos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 102,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[('RE1', 'RE3', 0.0),\n",
+       " ('RE1', 'RE2', 0.0),\n",
+       " ('RE1', 'RE2', 0.0),\n",
+       " ('RE1', 'RE2', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE1', 'RE2', 0.0),\n",
+       " ('RE1', 'RE2', 0.0),\n",
+       " ('RE1', 'RE2', 0.0),\n",
+       " ('RE1', 'RE2', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE1', 'RE2', 0.0),\n",
+       " ('RE1', 'RE3', 0.0),\n",
+       " ('RE1', 'RE3', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE1', 'RE3', 0.0),\n",
+       " ('RE1', 'RE2', 0.0)]"
+      ]
+     },
+     "execution_count": 102,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "usefull_events_1 "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Ahora se muestran los datos de realizar el mismo análisis para el resto de conjunto de datos."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 3.2.2 Analisis para el segundo lote de datos "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Conversión a binario**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 103,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "binary_2 = convert_bin(dataset_2, datetime_2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 104,
+   "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>Word 1</th>\n",
+       "      <th>Word 4</th>\n",
+       "      <th>Word 5</th>\n",
+       "      <th>Word 6</th>\n",
+       "      <th>Word 7</th>\n",
+       "      <th>Word 8</th>\n",
+       "      <th>Word 9</th>\n",
+       "      <th>Word 10</th>\n",
+       "      <th>Datetime</th>\n",
+       "      <th>Word 16</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>E7552E76</td>\n",
+       "      <td>00101010</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00101100</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>E6FAC526</td>\n",
+       "      <td>100421 004549.013</td>\n",
+       "      <td>+0055</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>E7552E76</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00110000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>E6FAC526</td>\n",
+       "      <td>100421 004549.013</td>\n",
+       "      <td>+0055</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>E7552E7A</td>\n",
+       "      <td>00110101</td>\n",
+       "      <td>00110001</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>E6FAC526</td>\n",
+       "      <td>100421 004549.013</td>\n",
+       "      <td>+0055</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>E7552E7A</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00111000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>E6FAC526</td>\n",
+       "      <td>100421 004549.013</td>\n",
+       "      <td>+0055</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>E7552E7C</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00101101</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>E6FAC526</td>\n",
+       "      <td>100421 004549.013</td>\n",
+       "      <td>+0055</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3223</th>\n",
+       "      <td>DF830814</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00101000</td>\n",
+       "      <td>DE65B726</td>\n",
+       "      <td>100421 021429.000</td>\n",
+       "      <td>+0034</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3224</th>\n",
+       "      <td>F1C8B587</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00111011</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>F1C4D266</td>\n",
+       "      <td>100421 021442.008</td>\n",
+       "      <td>+0058</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3225</th>\n",
+       "      <td>F1C8B588</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00100001</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>F1C4D266</td>\n",
+       "      <td>100421 021442.008</td>\n",
+       "      <td>+0058</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3226</th>\n",
+       "      <td>F1C8B589</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00101111</td>\n",
+       "      <td>F1C4D266</td>\n",
+       "      <td>100421 021442.008</td>\n",
+       "      <td>+0058</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3227</th>\n",
+       "      <td>F1C8B58A</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00111110</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>F1C4D266</td>\n",
+       "      <td>100421 021442.008</td>\n",
+       "      <td>+0058</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>3211 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        Word 1    Word 4    Word 5    Word 6    Word 7    Word 8    Word 9  \\\n",
+       "0     E7552E76  00101010  00000000  00000000  00000000  00101100  00000000   \n",
+       "1     E7552E76  00000000  00000000  00110000  00000000  00000000  00000000   \n",
+       "2     E7552E7A  00110101  00110001  00000000  00000000  00000000  00000000   \n",
+       "3     E7552E7A  00000000  00111000  00000000  00000000  00000000  00000000   \n",
+       "4     E7552E7C  00000000  00000000  00000000  00101101  00000000  00000000   \n",
+       "...        ...       ...       ...       ...       ...       ...       ...   \n",
+       "3223  DF830814  00000000  00000000  00000000  00000000  00000000  00101000   \n",
+       "3224  F1C8B587  00000000  00000000  00111011  00000000  00000000  00000000   \n",
+       "3225  F1C8B588  00000000  00000000  00000000  00000000  00100001  00000000   \n",
+       "3226  F1C8B589  00000000  00000000  00000000  00000000  00000000  00101111   \n",
+       "3227  F1C8B58A  00000000  00000000  00000000  00111110  00000000  00000000   \n",
+       "\n",
+       "       Word 10           Datetime Word 16  \n",
+       "0     E6FAC526  100421 004549.013   +0055  \n",
+       "1     E6FAC526  100421 004549.013   +0055  \n",
+       "2     E6FAC526  100421 004549.013   +0055  \n",
+       "3     E6FAC526  100421 004549.013   +0055  \n",
+       "4     E6FAC526  100421 004549.013   +0055  \n",
+       "...        ...                ...     ...  \n",
+       "3223  DE65B726  100421 021429.000   +0034  \n",
+       "3224  F1C4D266  100421 021442.008   +0058  \n",
+       "3225  F1C4D266  100421 021442.008   +0058  \n",
+       "3226  F1C4D266  100421 021442.008   +0058  \n",
+       "3227  F1C4D266  100421 021442.008   +0058  \n",
+       "\n",
+       "[3211 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 104,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "binary_2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Cálculos de tiempos**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 105,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "event_time_2 = time_df(binary_2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 106,
+   "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>Trigger Count</th>\n",
+       "      <th>RE1 (ns)</th>\n",
+       "      <th>FE1 (ns)</th>\n",
+       "      <th>RE2 (ns)</th>\n",
+       "      <th>FE2 (ns)</th>\n",
+       "      <th>RE3 (ns)</th>\n",
+       "      <th>FE3 (ns)</th>\n",
+       "      <th>1PPS Count</th>\n",
+       "      <th>Datetime</th>\n",
+       "      <th>Correction</th>\n",
+       "      <th>T(sec)</th>\n",
+       "      <th>ΔT(clk)</th>\n",
+       "      <th>ΔT(sec)</th>\n",
+       "      <th>T(abs)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>3881119350</td>\n",
+       "      <td>12.50</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>15.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>3875194150</td>\n",
+       "      <td>100421 004549.013</td>\n",
+       "      <td>0.055</td>\n",
+       "      <td>89149.013</td>\n",
+       "      <td>5925200</td>\n",
+       "      <td>0.237008</td>\n",
+       "      <td>89149.305008</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>3881119350</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>20.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>3875194150</td>\n",
+       "      <td>100421 004549.013</td>\n",
+       "      <td>0.055</td>\n",
+       "      <td>89149.013</td>\n",
+       "      <td>5925200</td>\n",
+       "      <td>0.237008</td>\n",
+       "      <td>89149.305008</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3881119354</td>\n",
+       "      <td>26.25</td>\n",
+       "      <td>21.25</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>3875194150</td>\n",
+       "      <td>100421 004549.013</td>\n",
+       "      <td>0.055</td>\n",
+       "      <td>89149.013</td>\n",
+       "      <td>5925204</td>\n",
+       "      <td>0.237008</td>\n",
+       "      <td>89149.305008</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3881119354</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>30.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>3875194150</td>\n",
+       "      <td>100421 004549.013</td>\n",
+       "      <td>0.055</td>\n",
+       "      <td>89149.013</td>\n",
+       "      <td>5925204</td>\n",
+       "      <td>0.237008</td>\n",
+       "      <td>89149.305008</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>3881119356</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>16.25</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>3875194150</td>\n",
+       "      <td>100421 004549.013</td>\n",
+       "      <td>0.055</td>\n",
+       "      <td>89149.013</td>\n",
+       "      <td>5925206</td>\n",
+       "      <td>0.237008</td>\n",
+       "      <td>89149.305008</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3223</th>\n",
+       "      <td>3749906452</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>10.00</td>\n",
+       "      <td>3731207974</td>\n",
+       "      <td>100421 021429.000</td>\n",
+       "      <td>0.034</td>\n",
+       "      <td>94469.000</td>\n",
+       "      <td>18698478</td>\n",
+       "      <td>0.747939</td>\n",
+       "      <td>94469.781939</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3224</th>\n",
+       "      <td>4056462727</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>33.75</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>4056207974</td>\n",
+       "      <td>100421 021442.008</td>\n",
+       "      <td>0.058</td>\n",
+       "      <td>94482.008</td>\n",
+       "      <td>254753</td>\n",
+       "      <td>0.010190</td>\n",
+       "      <td>94482.076190</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3225</th>\n",
+       "      <td>4056462728</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>4056207974</td>\n",
+       "      <td>100421 021442.008</td>\n",
+       "      <td>0.058</td>\n",
+       "      <td>94482.008</td>\n",
+       "      <td>254754</td>\n",
+       "      <td>0.010190</td>\n",
+       "      <td>94482.076190</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3226</th>\n",
+       "      <td>4056462729</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>18.75</td>\n",
+       "      <td>4056207974</td>\n",
+       "      <td>100421 021442.008</td>\n",
+       "      <td>0.058</td>\n",
+       "      <td>94482.008</td>\n",
+       "      <td>254755</td>\n",
+       "      <td>0.010190</td>\n",
+       "      <td>94482.076190</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3227</th>\n",
+       "      <td>4056462730</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>37.50</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>4056207974</td>\n",
+       "      <td>100421 021442.008</td>\n",
+       "      <td>0.058</td>\n",
+       "      <td>94482.008</td>\n",
+       "      <td>254756</td>\n",
+       "      <td>0.010190</td>\n",
+       "      <td>94482.076190</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>3211 rows × 14 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      Trigger Count  RE1 (ns)  FE1 (ns)  RE2 (ns)  FE2 (ns)  RE3 (ns)  \\\n",
+       "0        3881119350     12.50      0.00      0.00      0.00     15.00   \n",
+       "1        3881119350      0.00      0.00     20.00      0.00      0.00   \n",
+       "2        3881119354     26.25     21.25      0.00      0.00      0.00   \n",
+       "3        3881119354      0.00     30.00      0.00      0.00      0.00   \n",
+       "4        3881119356      0.00      0.00      0.00     16.25      0.00   \n",
+       "...             ...       ...       ...       ...       ...       ...   \n",
+       "3223     3749906452      0.00      0.00      0.00      0.00      0.00   \n",
+       "3224     4056462727      0.00      0.00     33.75      0.00      0.00   \n",
+       "3225     4056462728      0.00      0.00      0.00      0.00      1.25   \n",
+       "3226     4056462729      0.00      0.00      0.00      0.00      0.00   \n",
+       "3227     4056462730      0.00      0.00      0.00     37.50      0.00   \n",
+       "\n",
+       "      FE3 (ns)  1PPS Count           Datetime  Correction     T(sec)  \\\n",
+       "0         0.00  3875194150  100421 004549.013       0.055  89149.013   \n",
+       "1         0.00  3875194150  100421 004549.013       0.055  89149.013   \n",
+       "2         0.00  3875194150  100421 004549.013       0.055  89149.013   \n",
+       "3         0.00  3875194150  100421 004549.013       0.055  89149.013   \n",
+       "4         0.00  3875194150  100421 004549.013       0.055  89149.013   \n",
+       "...        ...         ...                ...         ...        ...   \n",
+       "3223     10.00  3731207974  100421 021429.000       0.034  94469.000   \n",
+       "3224      0.00  4056207974  100421 021442.008       0.058  94482.008   \n",
+       "3225      0.00  4056207974  100421 021442.008       0.058  94482.008   \n",
+       "3226     18.75  4056207974  100421 021442.008       0.058  94482.008   \n",
+       "3227      0.00  4056207974  100421 021442.008       0.058  94482.008   \n",
+       "\n",
+       "       ΔT(clk)   ΔT(sec)        T(abs)  \n",
+       "0      5925200  0.237008  89149.305008  \n",
+       "1      5925200  0.237008  89149.305008  \n",
+       "2      5925204  0.237008  89149.305008  \n",
+       "3      5925204  0.237008  89149.305008  \n",
+       "4      5925206  0.237008  89149.305008  \n",
+       "...        ...       ...           ...  \n",
+       "3223  18698478  0.747939  94469.781939  \n",
+       "3224    254753  0.010190  94482.076190  \n",
+       "3225    254754  0.010190  94482.076190  \n",
+       "3226    254755  0.010190  94482.076190  \n",
+       "3227    254756  0.010190  94482.076190  \n",
+       "\n",
+       "[3211 rows x 14 columns]"
+      ]
+     },
+     "execution_count": 106,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "event_time_2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Gráfico de flancos**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 107,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 30.0), ('RE3', 30.0), ('FE1', 113.75), ('RE1', 117.5), ('FE1', 123.765625), ('RE1', 127.515625), ('FE1', 133.765625), ('FE3', 161.25), ('RE3', 163.75), ('FE3', 170.0)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 33.75), ('RE3', 33.75), ('RE1', 35.0), ('FE1', 457.5), ('FE2', 525.0), ('RE2', 527.5), ('FE2', 533.75), ('RE2', 537.5), ('FE2', 543.75), ('FE3', 545.0), ('RE2', 548.75), ('RE3', 548.75), ('FE2', 550.0), ('FE3', 555.0)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 33.75), ('RE3', 33.75), ('RE1', 35.0), ('FE1', 457.5), ('FE2', 525.0), ('RE2', 527.5), ('FE2', 533.75), ('RE2', 537.5), ('FE2', 543.75), ('FE3', 545.0), ('RE2', 548.75), ('RE3', 548.75), ('FE2', 550.0), ('FE3', 555.0)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 1.25), ('RE2', 1.25), ('FE1', 133.734375), ('RE1', 137.484375), ('FE1', 143.734375), ('RE1', 147.484375), ('FE1', 152.484375), ('FE2', 152.484375), ('RE2', 156.234375), ('FE2', 162.5)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 30.0), ('RE3', 30.0), ('FE3', 210.0), ('FE1', 213.75), ('RE1', 217.5), ('FE1', 222.5)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 21.25), ('RE3', 21.25), ('FE2', 204.984375), ('FE3', 238.734375)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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a+moxUklfs+b1ga5P5DHEJpF/SH+hj+00LSLeSvdd4X6RUvpTu7bdDwM+P23Yd1/7r05rdv+HFI+3pZRubmL55XR3JV1a9fqvgP8t++wt3EJujTueHLxelzzW1j7krm2rAGdExD511m+k02V/neLxYPIfVMeRB3pft0j7Evn70hvpbpUo6SXKwJGk4a76R+nqVa//DHhd6uctsFNKS+j+gfT7iPhKRLypjU2xb6rz+oNV8+tWzb+S7jFarm+w3a7WswSRB10+OiKujzwo9rNVA+pWf+lsNDhof49ti6rnjX4wtevH1DtTSlFnOr2yUESMioj/jIjfRsTcoll+qjofbywWHeqBUuudX+g+x+vWvP764nHQyk6VLzc4v5VpTtXyA73+r6N7LLNWjq/SPWgUcGdNEPrFie5xcdYgd98cDEvIP0DLvJ7u47y2wTauKR53LLo/lflHndcfKR4fTynd28cy69RJXyEV7/3nksvJZ1P54NytbHdbcrBvFXKLucPasV1B5AHtKzcMaGpQ7JTSglR0JSV/l9gM+BqwF3B7RBxaZ73vppR+kFK6rwiwklJ6JqV0WZGHSlD/tFYHl++gUVWP30spfS2l9CRASunJlNJXya1GAfaKiNd1IpOShgcDR5KGtcoPUvL71cvJA5cuIt99pa8xeeo5hNyqZAPgePJdVZ4q+vMfXbR0aDW/T9V5/fmqp9U/+jaomq8OwNTqV4CsWjFmyZ3A/5HvKLQBudtLZYDfR6oWr9syp4Vjqx5gulH+5zVIa6uIWJ384/wC8g+Gzchl63G6z0VlwOOmWim1Uen5LVTOcW3AoFJ+BqXsDNBAr/9A68bLi8dRNG4ltX7VOtXB6XZ6rE5rPej/eVqZ3gFEoH4dpbv8tFLGBlslT32d+0p67TEMdP0vkce++k1K6dI+ttGU4j33T+QyPB3YrcG1GWwDPT/t2Hdf+69Oa2b/ldZGS8ljg/VLyuallI4DPkou82dGxGv7uZ3H6B5EfXNysLs/Ol32q5/Xa5n6jar5ugPLS1rxGTiSNCIUX/QeSimdRb4FbQL+LyLe1ceqZduaS/6X/33Ad8njDIwit1D4P2BmK9ttg7IuJu3wE3LrmTnkrk3rpTwo9IbFv6/Vd0Mbaf+Y9tf/I4+LswT4PPnL/moppfWq/o2utPwZSedisMrOcNHK8VW6nT3SREupshZT7TSYt1sf6SpBwXX6uKNW5X2qNoj4YE160+tHxJbkrmlPA1+IiLG1U9X6q5S81ksRNPozuSv0DHJLyIf7yNtg6vP8FAH1cTXLt3PfDfdfk9Zw/0ULsQOKp5cOtIVY0XJoLvk7wCf7WLzM5Kr5V/Zz3ZbLbrPr93FtK4HqJ+u13k4pzaM7wLR5H/mUtAIzcCRpxEkpdZFvLR3A91oZlySl9EJK6Q8ppc+llHYi/4P/UfIXyHWAC4foTiILquZfXnepvr9YloqIzegeq+cjKaVLSsZyaDSu0UBUj2nT7I+Gwfbh4vErKaXTU0pzS8aEGazzMRgq5aftZacNBnr9B1o3Kj/W14+IoW491h/V56lR98hKWmWA3hVF9V2fXlN3qe60aXXW3zAiNqBE8Rmxbcn6m5JbcK1BHjPvqZKp4pjKa8W4VGX7qQSNXk4e6PydKaWHGhzTUKicn2bOLfQ+vy0rWuRU6mEz+3+BPJh/I3vT3UqwqW5qTagETbZs0/aaVbk229X7HhMRG9Ld+rJe2W/12t7eTCarrOh/UEhqwMCRpJHqK+R/8V8NHDTQjaWUnkopXUj3P44bke8IM9juJXe9g3x3pHoapTWyWdX8v+oss1uL2+7LbLp/4L6zwXJD2bqrcj5Kz0UxoPJQ/3gYiMq4ORMbLNMobTAN9PpX7iQErR3f34rHlYDdG6zfabfQPWD/rg2Wq9TT21JKzzVYbqT5K7kFIORWoL1ExOZ036b9jzXJ11TNl65Pbk1aGRi4dv22KIJGXeSg0QzyHQzb2XqnVZXzs11EvKLOMpXztoR8PQZj/+9tMAZQZf9/LcYhbKTSTW0mjcc+a0qRpy2Kp61003tz1fzsukuVq5ybNal/M4bqMl2v7Ld6bSvbWysiSgPwxZ9PlbrT3+OTtAIxcCRpREopzQIuKp4e32Cw2B6aaEVU/aW13pgkbVO0dqncLenTEdFrYNqI2ArYr8VdPFE132v8hohYk3wnlbYrjq1yN7hPR8T6tctExKuBfQdj/3VUzke9sSy+PlQZaZPKHcneHhFvqU2MiFWBo4Y2S9lAr3/RMu7PxdMjy+puRLwdeFud9e+he+Dsr0XE2o3yO5CxzQai6GpTuevZ0UXXkh6KsVcqd236xRBlbUiklJ4GKmMLHV7nOlXudPYU8Oua9e+l+wfxkXU+C75YPN4H3FC1bldf3RertlE9OPyi6o1XBY2qu6cNh6ARwOXk8xZ0n4cXFa2nPl08vbS4Hu300+LxVXTfBbJ6/2+iO7D8s9r0mmVfQXcA9dyS1qK1y6/cRP4+Tncr066a9Rt2Vy7eM44tnt5P/T9n6rmeXCah/NqMBo4snv41pVQbuBnotf01sLCYP7pOHit1LwFX1llG0kuAgSNJI9kp5C8z42l+bIJdIuL2iPh8RGwXEaMgf0GMiF2AM4vl5tH/ZtytOoUcsNoI+GPlziVFnt5F/lHZ1+1267mL3P0O4NyIeEMlISJ2Jn9RHsy7KJ1C/mK7PnBNROxU7Dsi4j3A1bR+bK2o3EHruIj4YOWHRURsEREXkgN0C+uuPfxcRO5+EMBlEbF3pctDRGxD/qLfya53A73+J5Dr+GuA3xZBVCJi5Yj4IDng0Oh6fRZYDGwN3Ficn9UqiRGxSUQcGBHX0XMQ2KF2HHlQ9i2BP0TEDkX+RkXEHsBV5C5Vs4CzOpbLBiJi/eqpKmlsTVrZQL5fIo8z9DLgiqrrvEZEfInuH78npZTKrvcXyC1QXwv8stJ6IiLWjYgz6G5x9r+VO2O1SzFOUmVMo+m00NIoIlatOXdjq9LWr5n69d29OF8nFU8/HRFfqnTdLAJeVxR5f5p8HcryN7Ymf6sWSaNr8tbrsySldB25ngOcHREfqvrc3ZXuP06m0vct3z9B/u3yfBPLArw1Im4o6niPbqARsVVEfJ3u+jSrZJsHRMRlEbFP5C5jlXXHRMQHyOMbVcY1OrpsAPyImBP5jp1dtWlFWfzf4ukeEXFGJYBdlOFfAjuSy/b/lqw/oGtb3EHt+OLpZyPi2IhYq1h/rYg4Dji8SP9pSunu2m1IeglJKTk5OTkNqwk4kfxjMTWx7K+LZe8HVq16fWLZNqpfL6ZngUfJP9oqrz0BvK1mvfFV6ePrbbOPvFbWn1iStm9NHp4kf9lL5CDWwcX80hbO55412366atuLyd1jSvPWpmN7P/nuN9XH9kwx/yD5H9+mrnfJtic22nfJ8puTx9yorPMcuatg5fkx5GBaAk4sWX9OkXZwG9P6zH8fedoWeKhqO0urjmlpcf0raW9u4RxX1l1cnLtG02Xtvv7ApKp1EzlQVNne1Kr0u+us/5aa8/M8uc4/U7Pdc1o4N3WvS5F+cJE+p4lt7Q8sq8rPE+SAcuX5XGC7RnWgwbb7zAfd77td/T0PNeWkr6neudqD7velVJTh56uenwtEg/0fQs/3uYXkVqMN99uP46qX73NrrlnDOtLH9WlmGt/CMURNPp+n5/ve08AeDdY/r8m8lZYv8p8Tt1Qtt6TmWs8BNu/jGEaRW+ck8h3wmjnuiTX5W0IeO6227t9adl5Lrsti8ntHdblcChzRIA9z6KNeUfWdpyizC6uePwccMljXttjGaTXrP1ZzjFcBY1qpP05OTivOZIsjSSPd14rHTYHDmlj+n+RWJWeS76b2KLAW+cvfreS7qm2XUvpL23PaQErpEmAn4FfkL7arkm8N/x3yLX4rXawWtbDtK4G3A78r1l+ZfNw/Ad6Q8j/Cgyal9DvyXex+SR4IeBXysX2ffGyzB3P/NXm5j3yef0z3HWaWklvmvDeldMpQ5aVdUv4XeEfyHQLnkH9ILCV3E3sz3WP9QAvlp8oaNL6t/UaU3CZ+oNc/pXQ6+QfgVeQfVKuRj/Mk8vFVupMsqrP+38gtjo4id1NaRL7L0HJyi7zzyQPjT2qUj8GWUroI2J7cAmIW+T3gefL70gnAa1JKfQ0cPGKllK4il+NzyNd3NfL1vgbYN6X0iZRSarD+j4A3AReSBztenVzefg3smlI6cZCyXv1dei36riNDLmWfIP9BcQ3d9eg+8vl+bXH+B2v/C8l19Sjy524lwHcHebzCHYv35kZ2Ayrj+DQ7KPbNwIHk9/vbyJ+j48jBmVnkz9sPkz8H55Ss/2fynTivLJZ/DlibHPz+J7mV4nYppTOazE+pomzuSi6r88ll9wFyWX5zUbbrrTvga5tSOpJ8fi8v9r8m+X3yGvJ7456p77GnJK3gosFnsCRpmIiIr5HHUvhTSqnRALpSDxHxbvIgqEuBtdKKNbAyEXEB8J/kMU9auZ22JEmSGrDFkSQNc5FvMV25k8zvGy0rVSsGd60MbvqnFTBotDXwweKpdUOSJGkQGDiSpGEgIv47Ir4YEVtWDdi8ajEw7g3AhuQubOd2Mp8afiLinRFxekTsFBFjiteiGAj9CrrHsPq/TuazVRHxlYj4r4h4RdWgumtExP7kriSrAXdTc7ctSZIktYdd1SRpGIiI04HPFU+Xk8diWIs8HhHF8w+klLqGPHMa1oq7+1xe9dJCYAw5oAI5aHRUSulbQ5y1toiIXwN7F0+fI9+lbRzdf349ALwvpXTHkGdOkiTpJcDAkSQNAxHxOuAA8iDWmwDrke+wNBv4A/CdlNIDncuhhquI2JjclXFX8q2hNyAPGP0g8Bfg+ymlKZ3L4cBExDvIdxzbhXxr6XXJdwqaQR609vsppcc7l0NJkqQVm4EjSZIkSZIklVq570WGj/XXXz+NHz++09loi6effpo11lij09mQRhzrjtQa647UGuuO1BrrjtSaTtWdm2+++dGU0gZlaSMqcDR+/HimTBmxre176OrqYuLEiZ3OhjTiWHek1lh3pNZYd6TWWHek1nSq7kTEffXSvKuaJEmSJEmSShk4kiRJkiRJUikDR5IkSZIkSSpl4EiSJEmSJEmlDBxJkiRJkiSplIEjSZIkSZIklTJwJEmSJEmSpFIGjiRJkiRJklTKwJEkSZIkSZJKGTiSJEmSJElSKQNHkiRJkiRJKmXgSJIkSZIkSaUMHEmSJEmSJKmUgSNJkiRJkiSVMnAkSZIkSZKkUgaOJEmSJEmSVMrAkSRJkiRJkkoZOJIkSZIkSVIpA0eSJEmSJEkqZeBIkiRJkiRJpQwcSZIkSZIkqZSBI0mSJEmSJJUycCRJkiRJkqRSBo4kSZIkSZJUysCRJEmSJEmSShk4kiRJkiRJUikDR5IkSZIkSSpl4EiSJEmSJEmlDBxJkiRJkiSplIEjSZIkSZIklTJwJEmSJEmSpFIGjiRJkiRJklTKwJEkSZIkSZJKGTiSJEmSJElSKQNHkiRJkiRJKmXgSJIkSZIkSaUMHEmSJEmSJKmUgSNJkiRJkiSVMnAkSZIkSZKkUgaOJEmSJEmSVMrAkSRJkiRJkkoZOJIkSZIkSVIpA0eSJEmSJEkqZeBIkiRJkiRJpQwcSZIkSZIkqZSBI0mSJEmSJJUycCRJkiRJkqRSBo4kSZIkSZJUysCRJEmSJEmSShk4kiRJkiRJUikDR5IkSZIkSSpl4EiSJEmSJEmlDBxJkiRJkiSplIEjSZIkSZIklTJwJEmSJEmSpFIGjiRJkiRJklTKwJEkSZIkSZJKGTiSJEmSJElSKQNHkiRJkiRJKmXgSJIkSZIkSaUMHEmSJEmSJKmUgSNJkiRJkiSVMnAkSZIkSZKkUgaOJEmSJEmSVMrAkSRJkiRJkkoZOJIkSZIkSVIpA0eSJEmSJEkqZeBIkiRJkiRJpQwcSZIkSZIkqZSBI0mSJEmSJJUa8sBRRLw3Iv4UEQ9HxLKImBcRF0fEq4c6L5IkSZIkSapv5Q7sc13gZuAMYAHwCuCLwI0RsUNK6b4O5EmSJEmSJEk1hjxwlFL6BfCL6tci4h/A3cC+wGlDnSdJkiRJkiT1NlzGOHqseHy+o7mQJEmSJEnSizoWOIqIlSJilYjYCjgLeJialkiSJEmSJEnqnE6McVRxE/CGYn4m8K6U0vwO5mdITZg0CcaN6/nifvvBEUfAM8/AHnv0Xungg/P06KOw77690w8/HPbfH+6/Hw48sHf6kUfCXnvB9Olw2GG90487DnbbDW69FSZN6p1+8smwyy7w97/Dscf2Tj/9dJgwAa69Fk46qXf6WWfBNtvAFVfAaSU9En/+c9hsM7joIjjzzN7pl1wC668P552Xp1pXXQWrrw5nnAEXX9w7vasrP556Klx5Zc+0MWPg6qvz/Fe/Ctdd1zN9vfXg0kvz/DHHwOTJPdM33RTOPz/PT5qUz2G1rbeGs8/O84ceCjNm9EyfMCGfP4ADDoB583qm77wznHJKnt9nH3jssZ7pu+4Kxx+f53ffHZYs6Zm+555w1FF5fuJEehlBZa+07lj28rxlr3e673v58dRTmXD++T3rjmXPsuf7XlNlb8KsWT3rjmXPsge+7zVR9iYsWtSz7lj28rxlr3f6SH/fq1z7FVgnA0cHAmsBrwSOAq6JiLemlOZULxQRhwKHAmy00UZ0rSAXZYfly1m0aFGP1+bPmMGDXV2MWrqUHWvSAB6++24e7upi9BNPsH1J+gPTprGgq4tV589nu5L0+6dO5bE112TM3LlsU5J+3223sXDllRk7cyZblqTfe8stPPnss6x1xx28siR95pQpLF60iHVuu43NS9Kn33QTSx56iPWmTmWzkvS7Jk9m2axZbDBtGpuUpE/72994bu212fjuu9m4JP32G27ghdVW4+UzZrBhSfqtRdnZbNYs1qtJX75kCVOL9M1nz2admvTnXniBaUX6FnPnsnZN+rLRo7mrSN9y3jzG1qQ/8+CDzCjSt37wQVavSV88bx4zi/TtHnmEVWvSn5g7l9lF+vYLFjD6ySd7pC+cPZv7ivQdHn+clZYt65H+2KxZ3F+kTyg5NyOp7G1eUncsezndstc73fe9LiCXvXE1dceyZ9nzfa+5sjeqpu5Y9ix74PteM2VveU3dsezldMte7/SR/r5Xufbtsnjx4mEX94iUUqfzQESMA+YAv0wpfbrecjvttFOaMmXKUGVrUHV1dTGxLBorqSHrjtQa647UGuuO1BrrjtSaTtWdiLg5pbRTWdqwGBw7pbSI3F1tyw5nRZIkSZIkSYVhETiKiI2AbYFZnc6LJEmSJEmSsiEf4ygiLgduAW4HngS2Bj4PPA+UjGImSZIkSZKkTujE4Ng3AvsBRwKrAPcDXcAptQNjS5IkSZIkqXOGPHCUUvoG8I2h3q8kSZIkSZL6Z1iMcSRJkiRJkqThx8CRJEmSJEmSShk4kiRJkiRJUikDR5IkSZIkSSpl4EiSJEmSJEmlDBxJkiRJkiSplIEjSZIkSZIklTJwJEmSJEmSpFIGjiRJkiRJklTKwJEkSZIkSZJKGTiSJEmSJElSKQNHkiRJkiRJKmXgSJIkSZIkSaUMHEmSJEmSJKmUgSNJkiRJkiSVMnAkSZIkSZKkUgaOJEmSJEmSVMrAkSRJkiRJkkoZOJIkSZIkSVIpA0eSJEmSJEkqZeBIkiRJkiRJpVZulBgR5/ZjWyml9MkB5keSJEmSJEnDRMPAEfAuIDW5rWaXkyRJkiRJ0gjQMHCUUho/RPmQJEmSJEnSMOMYR5IkSZIkSSrVr8BRRKwREf8dEZdExJ8jYqvi9Q9HxLaDk0VJkiRJkiR1Ql9jHL0oIjYDuoBNgbuB1wBrFsnvBHYDDmlz/iRJkiRJktQh/WlxdBqwDNgaeAMQVWnXA29rY74kSZIkSZLUYU23OALeDRyaUrovIlaqSXsA2KR92ZIkSZIkSVKn9afF0SrAU3XS1gaeH3h2JEmSJEmSNFz0p8XR7cA+wO9L0nYHbm5LjjQsLF4MH/tYnj/iiM7mRap2223r8LxhaqnfrDtSa6w7UmusO93OOAPWXRd+9KNO50RqTX8CR98ELokIgAuL114dEXsDnwT+vc15UwfNnQuXX57nK4/S8PDaTmdAGqGsO1JrrDtSa6w71bbZptM5kFrXdOAopXRZRBwBfB34RPHyz8jd1/4rpVTWEkkj1PjxMGFCnv/e9zqZE6mnf/3rX7zuda/rdDakEce6I7XGuiO1xrrT7bOfhTFjOp0LqXX9aXFESumHEfFzYGdgQ+Ax4O8ppXpjH2mEWn11WHvtPP/Wt3Y2L1K1559/wjIptcC6I7XGuiO1xrrTrfK7Shqp+hU4AkgpPQ1cOwh5kSRJkiRJ0jDSr8BRRIwC3gi8AlitNj2l9LM25UuSJEmSJEkd1nTgKCJeDfwaeBUQJYsk8phHkiRJkiRJWgH0p8XRGcXy+wFTgWWDkiNJkiRJkiQNC/0JHL0eODildNlgZUaSJEmSJEnDx6h+LPso8OxgZUSSJEmSJEnDS38CR98GPhMRKw1WZiRJkiRJkjR89Ker2gbANsCdEXEN8HhNekopndC2nEmSJEmSJKmj+hM4Oq5qfquS9AQYOJIkSZIkSVpBNB04Sin1p1ubJEmSJEmSRjiDQZIkSZIkSSrVn65qL4qIDYHVal9PKc0dcI4kSZIkSZI0LDQdOIqItYDvAPsDq9ZZzDuuSZIkSZIkrSD60+LoB8A+wI+BqcCyQcmRJEmSJEmShoX+BI7eBxydUvrBYGVGkiRJkiRJw0d/B8eePii5kCRJkiRJ0rDTn8DRL4G9BisjkiRJkiRJGl7601Xtj8DpEbEmcBXweO0CKaU/tStjkiRJkiRJ6qz+BI5+UzxuARxc9XoConj0rmqSJEmSJEkriP4Ejt45aLmQJEmSJEnSsNN04CildP1gZkSSJEmSJEnDS3/vqiZJkiRJkqSXiP50VSMitgcOAbYBVqtJTimlXduVMUmSJEmSJHVW04GjiHgTcD0wB9gKuB1YB3gFMA+YOQj5kyRJkiRJUof0p6vaycBlwPbku6h9MqU0HtiNfDe1k9qeO0mSJEmSJHVMfwJHOwLnA6l4vhJASulP5KDRKe3NmiRJkiRJkjqpP4GjVYCnU0ovAI8DL6tKmw68pp0ZkyRJkiRJUmf1J3A0E9ikmL8d+EREjIqIUcDHgYfbnTlJkiRJkiR1Tn/uqnYFMBG4kDze0e+AJ4HlwFjgv9udOUmSJEmSJHVO04GjlNKJVfPXRsSbgX2A1YHfp5T+2P7sSZIkSZIkqVP60+Koh5TSv4B/tTEvkiRJkiRJGkb6M8bRgEXEvhFxaUTcFxFLImJ6RJwSEWsOZT4kSZIkSZLUt6YDRxGxSkScEBF3R8QzEbG8Znq+ic0cRR4T6VjgfcCZwOHANcUg25IkSZIkSRom+tNV7ZvAZ4CrgcuAZS3sb6+U0oKq59dHxOPAT8kDb/+phW1KkiRJkiRpEPQncLQvcEJK6Wut7qwmaFTxz+Jxk1a3K0mSJEmSpPbrT+BoLDB5EPLwjuLxrkHY9rA1YdIkGDeu54v77QdHHAHPPAN77NF7pYMPztOjj8K++/ZOP/xw2H9/uP9+OPDA3ulHHgl77QXTp8Nhh/VOP+442G03uPVWmDQJbj09vz5xUn48+WTYZRf4+9/h2GN7r3/66TBhAlx7LZx0Uu/0s86CbbaBK66A007rnf7zn8Nmm8FFF8GZZ/ZOv+QSWH99OO+8PNW66ipYfXU44wy4+OLe6V1d+fHUU+HKK3umjRkDV1+d57/6Vbjuup7p660Hl16a5485BibXVIVNN4Xzz8/zkyblc1ht663h7LPz/KGHwowZPdMnTMjnD+CAA2DevJ7pO+8Mp5yS5/fZBx57rGf6rrvC8cfn+d13hyVLeqbvuSccdVSenziRXoZb2atVVfZK645lL89b9nqnt7HsjfT3vQnnn9+z7lj2LHu+7zVV9ibMmtWz7lj2LHvg+14TZW/CokU9685Luezd/l3Yccc8b9nrnT7S3/cq134F1p/A0RXA22ljd7KI2AT4CnBtSmlKnWUOBQ4F2GijjehaQS7KDsuXs2jRoh6vzZ8xgwe7uhi1dCk71qQBPHz33Tzc1cXoJ55g+5L0B6ZNY0FXF6vOn892Jen3T53KY2uuyZi5c9mmJP2+225j4corM3bmTLZctIjtRk8DeDGf995yC08++yxr3XEHryxZf+aUKSxetIh1bruNzUvSp990E0seeoj1pk5ls5L0uyZPZtmsWWwwbRqblKRP+9vfeG7ttdn47rvZuCT99htu4IXVVuPlM2awYUn6rUXZ2WzWLNarSV++ZAlTi/TNZ89mnZr05154gWlF+hZz57J2Tfqy0aO5q0jfct48xtakP/Pgg8wo0rd+8EFWr0lfPG8eM4v07R55hFVr0p+YO5fZRfr2CxYw+skne6QvnD2b+4r0HR5/nJWW9exJ+tisWdxfpE8oOTfDrezVqi57m5fUHcteTrfs9U5vZ9kb6e9742rqjmXPsuf7XnNlb1RN3bHsWfbA971myt7ymrrzUi57265yJ4+uvy5dXTMteyvg+17l2rfL4sWLh13cI1JK9RMjXln1dAPgZ8AFwFXA47XLp5TubXrHEWOBLuDlwBtTSvMarwE77bRTmjKlNL404nR1dTGxLBorqSHrjtQa647UGuuO1BrrjtSaTtWdiLg5pbRTWVpfLY5mAtWRpQBOBE6o3Uex3EpNZmgMuQXTK4F3NBM0kiRJkiRJ0tDqK3D0CXoGjgYsIkYDlwA7Ae9OKU1t5/YlSZIkSZLUHn0Fjn4GvB+YnVK6o2yBiNgBGJ9SuqKvnUXEKHJXt3cBe6aUbuxnfiVJkiRJkjRERvWRfgDwC+DpBss8BVwYER9pYn8/AD4EnAY8HRFvrpo2bSrHkiRJkiRJGhLNBI5+klKaXW+BlNIc4FzgoCb2t3vx+P+AyTXTIU2sL0mSJEmSpCHSV1e11wPfa2I71wIf7WuhlNL4JrYlSZIkSZKkYaCvFkdrAgub2M7CYllJkiRJkiStIPoKHD0KbN7Edl5RLCtJkiRJkqQVRF+Bo7/S3NhFBxfLSpIkSZIkaQXRV+DodGDXiPh2RKxSmxgRoyPidOBdwLfbnz1JkiRJkiR1SsPBsVNKkyPiSOA04KMR8UfgviJ5c+DdwHrAkSmlGwc1p5IkSZIkSRpSfd1VjZTS6RFxC/AF4D+AMUXSEqAL+HpK6S+DlkNJkiRJkiR1RJ+BI4CU0g3ADRExCli/ePmxlNLyQcuZJEmSJEmSOqqpwFFFSukFYP4g5UWSJEmSJEnDSF+DY0uSJEmSJOklysCRJEmSJEmSShk4kiRJkiRJUikDR5IkSZIkSSpl4EiSJEmSJEmlDBxJkiRJkiSplIEjSZIkSZIklTJwJEmSJEmSpFIGjiRJkiRJklTKwJEkSZIkSZJKGTiSJEmSJElSKQNHkiRJkiRJKmXgSJIkSZIkSaUMHEmSJEmSJKmUgSNJkiRJkiSVMnAkSZIkSZKkUgaOJEmSJEmSVMrAkSRJkiRJkkoZOJIkSZIkSVIpA0eSJEmSJEkqZeBIkiRJkiRJpQwcSZIkSZIkqdTKnc6AhqcHH4T3vCfP77xzZ/MiVXvooa254IJO50Iaeaw7UmusO1JrrDsjy+TJsNZa8Pe/dzonGo4MHKnU4sVwzz15fuHCzuZFqvbss+uxyiqdzoU08lh3pNZYd6TWWHdGlkcfhbFjO50LDVcGjlRq6627Wxp1dXU0K1IPXV2TmThxYqezIY041h2pNdYdqTXWnZHFS6VGHONIkiRJkiRJpQwcSZIkSZIkqZSBI0mSJEmSJJUycCRJkiRJkqRSBo4kSZIkSZJUysCRJEmSJEmSShk4kiRJkiRJUikDR5IkSZIkSSpl4EiSJEmSJEmlDBxJkiRJkiSplIEjSZIkSZIklTJwJEmSJEmSpFIGjiRJkiRJklTKwJEkSZIkSZJKGTiSJEmSJElSKQNHkiRJkiRJKmXgSJIkSZIkSaUMHEmSJEmSJKmUgSNJkiRJkiSVMnAkSZIkSZKkUgaOJEmSJEmSVMrAkSRJkiRJkkoZOJIkSZIkSVIpA0eSJEmSJEkqZeBIkiRJkiRJpQwcSZIkSZIkqZSBI0mSJEmSJJUycCRJkiRJkqRSBo4kSZIkSZJUysCRJEmSJEmSShk4kiRJkiRJUqkhDxxFxKYR8b2ImBwRz0REiojxQ50PSZIkSZIkNdaJFkdbAvsBC4G/dGD/kiRJkiRJakInAkc3pJQ2SintAfyqA/uXJEmSJElSE4Y8cJRSemGo9ylJkiRJkqT+c3BsSZIkSZIklVq50xl4qZowaRKMG9fzxf32gyOOgGeegT326L3SwQfn6dFHYd99e6cffjjsvz/cfz8ceGDv9COPhL32gunT4bDDeqcfdxzsthvceitMmgS3np5fnzgpP558MuyyC/z973Dssb3XP/10mDABrr0WTjqpd/pZZ8E228AVV8Bpp/VO//nPYbPN4KKL4Mwze6dfcgmsvz6cd16eal11Fay+OpxxBlx8ce/0rq78eOqpcOWVPdPGjIGrr87zX/0qXHddz/T11oNLL83zxxwDkyf3TN90Uzj//Dw/aVI+h9W23hrOPjvPH3oozJjRM33ChHz+AA44AObN65m+885wyil5fp994LHHeqbvuiscf3ye3313WLKkZ/qee8JRR+X5iRPpZbiVvVpVZa+07lj28rxlr3d6G8veSH/fm3D++T3rjmXPsuf7XlNlb8KsWT3rjmXPsge+7zVR9iYsWtSz7lj28vxwLXusOGWvl8Eue5VrvwIb9oGjiDgUOBRgo402omsFuSg7LF/OokWLerw2f8YMHuzqYtTSpexYkwbw8N1383BXF6OfeILtS9IfmDaNBV1drDp/PtuVpN8/dSqPrbkmY+bOZZuS9Ptuu42FK6/M2Jkz2XLRIrYbPQ3gxXzee8stPPnss6x1xx28smT9mVOmsHjRIta57TY2L0mfftNNLHnoIdabOpXNStLvmjyZZbNmscG0aWxSkj7tb3/jubXXZuO772bjkvTbb7iBF1ZbjZfPmMGGJem3FmVns1mzWK8mffmSJUwt0jefPZt1atKfe+EFphXpW8ydy9o16ctGj+auIn3LefMYW5P+zIMPMqNI3/rBB1m9Jn3xvHnMLNK3e+QRVq1Jf2LuXGYX6dsvWMDoJ5/skb5w9mzuK9J3ePxxVlq2rEf6Y7NmcX+RPqHk3Ay3sleruuxtXlJ3LHs53bLXO72dZW+kv++Nq6k7lj3Lnu97zZW9UTV1x7Jn2QPf95ope8tr6o5lL6cP17K3/vo5mLRg/sgve7UGu+xVrn27LF68eNjFPSKl1LmdRxwCnANskVKa09fyO+20U5oyZcqg52sodHV1MbEsGiupIeuO1BrrjtQa647UGuuO1JpO1Z2IuDmltFNZmmMcSZIkSZIkqZSBI0mSJEmSJJXqyBhHEVEZ8eoNxePuEbEAWJBSur4TeZIkSZIkSVJPnRoc+1c1z88oHq8HJg5tViRJkiRJklSmI4GjlFJ0Yr+SJEmSJElqnmMcSZIkSZIkqZSBI0mSJEmSJJUycCRJkiRJkqRSBo4kSZIkSZJUysCRJEmSJEmSShk4kiRJkiRJUikDR5IkSZIkSSpl4EiSJEmSJEmlDBxJkiRJkiSplIEjSZIkSZIklTJwJEmSJEmSpFIGjiRJkiRJklTKwJEkSZIkSZJKGTiSJEmSJElSKQNHkiRJkiRJKmXgSJIkSZIkSaUMHEmSJEmSJKmUgSNJkiRJkiSVMnAkSZIkSZKkUgaOJEmSJEmSVMrAkSRJkiRJkkoZOJIkSZIkSVIpA0eSJEmSJEkqZeBIkiRJkiRJpQwcSZIkSZIkqZSBI0mSJEmSJJUycCRJkiRJkqRSBo4kSZIkSZJUysCRJEmSJEmSShk4kiRJkiRJUikDR5IkSZIkSSpl4EiSJEmSJEmlIqXU6Tw0LSIWAPd1Oh9tsj7waKczIY1A1h2pNdYdqTXWHak11h2pNZ2qO5unlDYoSxhRgaMVSURMSSnt1Ol8SCONdUdqjXVHao11R2qNdUdqzXCsO3ZVkyRJkiRJUikDR5IkSZIkSSpl4Khzzu50BqQRyrojtca6I7XGuiO1xrojtWbY1R3HOJIkSZIkSVIpWxxJkiRJkiSplIGjDoiI90XE9IiYGRFf7HR+pOEsIuZExNSIuDUiphSvrRsR10TEPcXjOp3Op9RpEXFuRMyPiDuqXiutK5F9t/gcuj0iXt+5nEudVafunBgRDxSfPbdGxB5VaccUdWd6RLy3M7mWOi8iNouIP0fEnRExLSI+V7zuZ4/UQIO6M2w/ewwcDbGIWAn4AbA78GrgIxHx6s7mShr23plSmlB1W8ovAtellLYCriueSy915wHvq3mtXl3ZHdiqmA4FzhyiPErD0Xn0rjsA3y4+eyaklK4CKL6zfRjYvljnjOK7nfRS9DxwZErp1cCbgc8UdcTPHqmxenUHhulnj4GjofdGYGZK6d6U0rPAL4G9O5wnaaTZG/hpMf9T4AOdy4o0PKSUbgAer3m5Xl3ZG/hZym4ExkXEy4Yko9IwU6fu1LM38MuU0rKU0mxgJvm7nfSSk1J6KKV0SzH/FHAXsAl+9kgNNag79XT8s8fA0dDbBLi/6vk8GhcS6aUuAX+MiJsj4tDitY1SSg8V8w8DG3Uma9KwV6+u+Fkk9e2/iu4051Z1ibbuSCUiYjzwOuAm/OyRmlZTd2CYfvYYOJI03L01pfR6cvPmz0TE26sTU741pLeHlPpgXZH65UzgVcAE4CHgtI7mRhrGImIscCkwKaX0ZHWanz1SfSV1Z9h+9hg4GnoPAJtVPd+0eE1SiZTSA8XjfOBycrPMRypNm4vH+Z3LoTSs1asrfhZJDaSUHkkpLU8pvQCcQ3eXAOuOVCUiRpN/+F6QUrqseNnPHqkPZXVnOH/2GDgaev8EtoqILSJiFfIgV7/tcJ6kYSki1oiINSvzwHuAO8h15qBisYOA33Qmh9KwV6+u/Bb4WHGHmzcDT1R1K5Be8mrGXfkP8mcP5Lrz4YhYNSK2IA/y+4+hzp80HEREAD8G7kopfasqyc8eqYF6dWc4f/asPJQ7E6SUno+I/wL+AKwEnJtSmtbhbEnD1UbA5fm9lZWBC1NKv4+IfwIXR8QngfuA/TqYR2lYiIhfABOB9SNiHnAC8HXK68pVwB7kwRWfAT4+5BmWhok6dWdiREwgd7GZAxwGkFKaFhEXA3eS74rzmZTS8g5kWxoO3gIcCEyNiFuL147Fzx6pL/XqzkeG62dP5G6nkiRJkiRJUk92VZMkSZIkSVIpA0eSJEmSJEkqZeBIkiRJkiRJpQwcSZIkSZIkqZSBI0mSJEmSJJUycCRJkgYsIs6JiBQR366TfmKRvvIQ5Wdisb+JLaz7gYj4nzbnZ0JxDtYtSUsRcWI799eqIi+V6eBB2P6mNfvYrd37kCRJ7WXgSJIkDUhEjAH2K57+51AFhwbRB4C2Bo6ACcAJQK/AEbAz8KM2728gfkzO0+8GYdvzi21/ZhC2LUmSBoGBI0mSNFAfANYCrgI2BN7X0dyMMCmlG1NK8zqdjyrzijwtaPeGU0rPppRuBO5s97YlSdLgMHAkSZIG6iBgIXAwsKR4Xs92EfHniHgmIh6KiK9ExIvfRyJibER8LyLmRsSyiJgfEddGxLZVy6wVEd+PiAeLZaZHxOcjIhplMiLmRMR5Ja+/2FWsSD8I2KSqO9WcqmU3iIgfRsQDxb7vjohD+9jvwcBPiqf3VG13fO3+i+eVbn3bRsQfIuLp4nx8vEg/sNjv4uJcvqpkn4dGxG0RsTQiHo2IH5d1k2tWRJwXEfMi4nUR8Zfi+t0TEZ+uWW7jiPhp1bV5KCKujIgNW923JEnqrJHelFySJHVQRLwc2A04J6W0ICJ+DXwwItZJKS0sWeXXwLnAKcB7geOBF4ATi/RvA/8OHAvcA6wHvAUYV+xvFLkL1euBLwFTgfcD3wI2KNYbiK8W2/m3Ih8Ay4p9rwX8FRhT5Hd2cQxnRsSqKaXv1dnm74CTgOOADwGV1kUP9ZGXXwHnAKcCRwDnRsRWwETgi8Bo4DvAhcCbKitFxNeBI4HvAkcDmxT7f01E7JJSWt7HfutZq9jX6cBXgI+Tj316SunPxTI/BzYv9ns/sBGwK7B6i/uUJEkdZuBIkiQNxAHASsDPiuc/BT4C7A/8sGT5c1JKXy/m/1gEY46MiNNTSovI499ckFL6cdU6l1fN7wG8Ffh4Sum8qu2sUWznWymlR1s9mJTSrIhYAFS6VFX7HDkoskNK6Z7itWsjYhxwQkScmVJ6vmSbCyJiVvH01pTSzCaz882U0s8AImIKsBdwGLBFSunJ4vWXAd+JiM1TSvcVrZiOBr6cUvpKZUMRMYMc9NqLHLxrxZrAEZUgUUTcQA6cfQSoBI52Bo5NKV1Qtd6vWtyfJEkaBuyqJkmSBuIg4J6U0uTi+bXAg9TvrnZxzfNfAmOB1xTP/wkcHBHHRsROEbFSzfJvJ7dQurDm9fOBVciBi8HyPuAmYHZErFyZgD+QW0a9us37u7oyU7Temg/cWAkaFe4uHjcrHt9N/n53QU0ebwKeIp+/Vj1T1bKIlNIyYAbwiqpl/gkcHRGfi4gd+uo+KEmShj8DR5IkqSURsRM5WHJZRIwrWt6sCVwGvDkiti5Z7ZE6zzcpHj8LnAV8ghyEmB8R346ISlendYHHU0rP1mzn4ar0wbIhOfDyXM1UaVGzXpv3V9vV79k6rwGsVpVHgJn0zueaA8xjWdfDZVX7htzS7LfA/wK3Aw9ExJeqx7GSJEkji13VJElSqyqtir5QTLU+Rh7Xp9pGwL01zwEeAEgpLQaOAY6JiM2BfYGvkwMkXwAeB9aNiFVqgkcbF4+PN8jvUnKrpBdFRH8CKY+RW/18rk769H5sa7A8Vjy+h/JAz2Mlr7VNSmk+8BngMxGxDbmMfBlYAJw5mPuWJEmDw39/JElSv0XEKuSxbW4C3lky3QocWNJVab+a5x8GFpMHue4hpXRfSum0Iq3Sle168veXD9Us/lFycGky9d1XtZ2K95cst4w8AHat3wPbAnNTSlNKpqca7HtZ8Vi23Xa6htyV7xV18jh7kPf/opTS9JTSseQAVu15lyRJI4QtjiRJUiveT+72dGRKqas2MSLOIrcwmUj3wMkAnyq6Lf2TPLDyIcCJKaUnivUmk7s6TSUHlN4BvJY86DbkcX/+CvwwIjYAppEHzD4EOKWPgbF/Sb4z2beBK4vtHlyy3J3kVk2HA1OApSmlqeQ7vu0P/KXYxnRgDXIw6W0ppb0b7PvO4vEzEfFTctex20u63A1IMbj3N4DvFy1+rie3tNqMPP7Rj6rHKWqniFibPMbVBeSxl54D9gbWAf44GPuUJEmDz8CRJElqxUHkwZbr3THrF8C3iuWqAxV7A98DjgeeIN8m/qtV6TeQWyV9kfw95V7g8yml7wKklF6IiPcDJ5O7rq0HzAH+h3yb+EZ+Sg6gfJJ8d7K/AP9BHg+o2o+ANxf7GEduqTQ+pfREROwCfKnY9ybAInIA6dJGO04p3RYRJwKHAp8it5raosh7W6WUjo2Iuyi6jAEJuB+4Drin0boDtBS4hXx8m5NbPk0HPppS+s0g7leSJA2iSCl1Og+SJEkaBiIikQN5XwGWp0H4oljc5e0d5NZJ704pXdvufUiSpPZxjCNJkiRVO57czeygvhbsr4jYtNi2wSJJkkYIu6pJkiSp4t+q5gdjIO1HavYxHO5EJ0mSGrCrmiRJkiRJkkrZVU2SJEmSJEmlDBxJkiRJkiSplIEjSZIkSZIklTJwJEmSJEmSpFIGjiRJkiRJklTKwJEkSZIkSZJK/X8KA9kqJKyHGAAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 10.0), ('RE2', 10.0), ('FE2', 216.234375), ('FE1', 226.234375)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 22.5), ('RE2', 22.5), ('FE1', 192.5), ('RE1', 196.25), ('FE1', 208.75), ('RE1', 227.5), ('FE1', 230.0), ('FE2', 268.75)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 17.5), ('RE2', 17.5), ('FE1', 42.484375), ('RE1', 46.234375), ('FE1', 52.484375), ('RE1', 56.234375), ('FE1', 61.234375), ('RE1', 66.234375), ('FE1', 71.234375), ('FE2', 101.234375), ('RE2', 104.984375), ('FE2', 109.984375)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 16.25), ('RE3', 16.25), ('FE1', 218.75), ('RE1', 223.75), ('FE1', 230.0), ('FE3', 253.75)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 17.5), ('RE3', 17.5), ('RE1', 18.75), ('FE1', 264.984375), ('RE1', 268.734375), ('FE1', 274.984375), ('RE1', 278.734375), ('FE1', 284.984375), ('RE1', 288.734375), ('FE1', 291.234375), ('FE2', 312.484375), ('FE3', 341.234375), ('RE3', 344.984375), ('FE3', 351.234375)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE3', 30.0), ('RE1', 31.25), ('FE3', 83.75), ('RE3', 87.5), ('FE3', 93.75), ('FE1', 95.0), ('RE1', 97.5), ('RE3', 97.5), ('FE3', 100.0), ('FE1', 103.75), ('RE1', 108.75), ('FE1', 113.75)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 30.0), ('RE3', 30.0), ('FE2', 190.0), ('FE3', 297.515625)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 37.5), ('RE3', 37.5), ('FE2', 488.734375)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE3', 38.75), ('FE3', 46.25), ('RE2', 48.75), ('RE3', 48.75), ('FE3', 51.25), ('RE3', 55.0), ('FE2', 55.0), ('RE2', 57.5), ('FE3', 63.75), ('FE2', 65.0), ('RE2', 67.5), ('FE2', 73.75), ('RE2', 78.75), ('FE2', 83.75), ('RE2', 88.75), ('FE2', 90.0), ('RE2', 98.75), ('FE2', 100.0)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 21.25), ('RE2', 21.25), ('FE1', 48.765625), ('RE1', 50.015625), ('FE1', 90.015625), ('RE1', 92.515625), ('FE1', 100.015625), ('FE2', 110.015625)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE3', 27.5), ('RE2', 28.75), ('FE2', 101.25), ('RE2', 103.75), ('FE2', 111.25), ('FE3', 111.25), ('RE2', 115.0), ('RE3', 115.0), ('FE3', 122.5), ('RE2', 125.0), ('RE3', 126.25), ('FE2', 130.0), ('FE3', 132.5), ('RE2', 135.0), ('FE2', 140.0)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 2.5), ('RE2', 2.5), ('FE2', 115.0), ('RE2', 117.5), ('FE2', 124.984375), ('RE2', 128.734375), ('FE2', 131.234375), ('FE1', 163.75)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 13.75), ('RE1', 16.25), ('RE3', 16.25), ('FE3', 132.5), ('FE1', 181.25), ('RE1', 186.25), ('FE1', 191.25), ('FE2', 222.5), ('RE2', 226.25), ('FE2', 232.5), ('RE2', 236.25), ('FE2', 241.25), ('RE2', 247.5), ('FE2', 250.0)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 30.0), ('RE2', 30.0), ('FE1', 202.5), ('RE1', 206.25), ('FE1', 212.5), ('RE1', 216.25), ('FE1', 220.0), ('FE2', 263.75)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 15.0), ('RE3', 15.0), ('FE3', 283.75), ('FE1', 286.25)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 27.5), ('RE2', 27.5), ('FE1', 179.984375), ('RE1', 184.984375), ('FE1', 189.984375), ('FE2', 268.734375)]\n"
+     ]
+    }
+   ],
+   "source": [
+    "usefull_events_2 = extract_usefull_events(event_time_2, dif)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 108,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[('RE1', 'RE3', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE1', 'RE2', 0.0),\n",
+       " ('RE1', 'RE3', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE1', 'RE2', 0.0),\n",
+       " ('RE1', 'RE2', 0.0),\n",
+       " ('RE1', 'RE2', 0.0),\n",
+       " ('RE1', 'RE3', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE1', 'RE3', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE1', 'RE2', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE1', 'RE2', 0.0),\n",
+       " ('RE1', 'RE3', 0.0),\n",
+       " ('RE1', 'RE2', 0.0),\n",
+       " ('RE1', 'RE3', 0.0),\n",
+       " ('RE1', 'RE2', 0.0)]"
+      ]
+     },
+     "execution_count": 108,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Par de triggers que registraron un evento con una \n",
+    "# distancia temporal menor o igual a dif nanosegundos\n",
+    "usefull_events_2 "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 3.2.3 Analisis para el tercer lote de datos "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Conversión a binario**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 109,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "binary_3 = convert_bin(dataset_3, datetime_3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 110,
+   "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>Word 1</th>\n",
+       "      <th>Word 4</th>\n",
+       "      <th>Word 5</th>\n",
+       "      <th>Word 6</th>\n",
+       "      <th>Word 7</th>\n",
+       "      <th>Word 8</th>\n",
+       "      <th>Word 9</th>\n",
+       "      <th>Word 10</th>\n",
+       "      <th>Datetime</th>\n",
+       "      <th>Word 16</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>5C470C80</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00101100</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>5B585726</td>\n",
+       "      <td>100421 040733.013</td>\n",
+       "      <td>-0009</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>5C470C80</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00110000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>5B585726</td>\n",
+       "      <td>100421 040733.013</td>\n",
+       "      <td>-0009</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>5C470C81</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00111001</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>5B585726</td>\n",
+       "      <td>100421 040733.013</td>\n",
+       "      <td>-0009</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>5C470C83</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00101110</td>\n",
+       "      <td>5B585726</td>\n",
+       "      <td>100421 040733.013</td>\n",
+       "      <td>-0009</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>6E5FFE22</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00100101</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00100011</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>6D39FA26</td>\n",
+       "      <td>100421 040745.013</td>\n",
+       "      <td>+0055</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2340</th>\n",
+       "      <td>1E2CDB74</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00110000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>1D1962A6</td>\n",
+       "      <td>100421 050659.004</td>\n",
+       "      <td>+0062</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2341</th>\n",
+       "      <td>1EFFF90D</td>\n",
+       "      <td>00111110</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>1E96DAE6</td>\n",
+       "      <td>100421 050700.012</td>\n",
+       "      <td>+0054</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2342</th>\n",
+       "      <td>1EFFF90E</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00100000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>1E96DAE6</td>\n",
+       "      <td>100421 050700.012</td>\n",
+       "      <td>+0054</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2343</th>\n",
+       "      <td>1EFFF912</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00111010</td>\n",
+       "      <td>1E96DAE6</td>\n",
+       "      <td>100421 050700.012</td>\n",
+       "      <td>+0054</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2344</th>\n",
+       "      <td>1EFFF914</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00110001</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>00000000</td>\n",
+       "      <td>1E96DAE6</td>\n",
+       "      <td>100421 050700.012</td>\n",
+       "      <td>+0054</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2333 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        Word 1    Word 4    Word 5    Word 6    Word 7    Word 8    Word 9  \\\n",
+       "0     5C470C80  00000000  00000000  00000000  00000000  00101100  00000000   \n",
+       "1     5C470C80  00000000  00000000  00110000  00000000  00000000  00000000   \n",
+       "2     5C470C81  00000000  00000000  00000000  00111001  00000000  00000000   \n",
+       "3     5C470C83  00000000  00000000  00000000  00000000  00000000  00101110   \n",
+       "4     6E5FFE22  00000000  00000000  00100101  00000000  00100011  00000000   \n",
+       "...        ...       ...       ...       ...       ...       ...       ...   \n",
+       "2340  1E2CDB74  00000000  00000000  00000000  00110000  00000000  00000000   \n",
+       "2341  1EFFF90D  00111110  00000000  00000000  00000000  00000000  00000000   \n",
+       "2342  1EFFF90E  00000000  00000000  00000000  00000000  00100000  00000000   \n",
+       "2343  1EFFF912  00000000  00000000  00000000  00000000  00000000  00111010   \n",
+       "2344  1EFFF914  00000000  00110001  00000000  00000000  00000000  00000000   \n",
+       "\n",
+       "       Word 10           Datetime Word 16  \n",
+       "0     5B585726  100421 040733.013   -0009  \n",
+       "1     5B585726  100421 040733.013   -0009  \n",
+       "2     5B585726  100421 040733.013   -0009  \n",
+       "3     5B585726  100421 040733.013   -0009  \n",
+       "4     6D39FA26  100421 040745.013   +0055  \n",
+       "...        ...                ...     ...  \n",
+       "2340  1D1962A6  100421 050659.004   +0062  \n",
+       "2341  1E96DAE6  100421 050700.012   +0054  \n",
+       "2342  1E96DAE6  100421 050700.012   +0054  \n",
+       "2343  1E96DAE6  100421 050700.012   +0054  \n",
+       "2344  1E96DAE6  100421 050700.012   +0054  \n",
+       "\n",
+       "[2333 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 110,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "binary_3"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Cálculos de tiempos**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 111,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "event_time_3 = time_df(binary_3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 112,
+   "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>Trigger Count</th>\n",
+       "      <th>RE1 (ns)</th>\n",
+       "      <th>FE1 (ns)</th>\n",
+       "      <th>RE2 (ns)</th>\n",
+       "      <th>FE2 (ns)</th>\n",
+       "      <th>RE3 (ns)</th>\n",
+       "      <th>FE3 (ns)</th>\n",
+       "      <th>1PPS Count</th>\n",
+       "      <th>Datetime</th>\n",
+       "      <th>Correction</th>\n",
+       "      <th>T(sec)</th>\n",
+       "      <th>ΔT(clk)</th>\n",
+       "      <th>ΔT(sec)</th>\n",
+       "      <th>T(abs)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1548160128</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>15.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1532516134</td>\n",
+       "      <td>100421 040733.013</td>\n",
+       "      <td>-0.009</td>\n",
+       "      <td>101253.013</td>\n",
+       "      <td>15643994</td>\n",
+       "      <td>0.625760</td>\n",
+       "      <td>101253.629760</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1548160128</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>20.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1532516134</td>\n",
+       "      <td>100421 040733.013</td>\n",
+       "      <td>-0.009</td>\n",
+       "      <td>101253.013</td>\n",
+       "      <td>15643994</td>\n",
+       "      <td>0.625760</td>\n",
+       "      <td>101253.629760</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1548160129</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>31.25</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1532516134</td>\n",
+       "      <td>100421 040733.013</td>\n",
+       "      <td>-0.009</td>\n",
+       "      <td>101253.013</td>\n",
+       "      <td>15643995</td>\n",
+       "      <td>0.625760</td>\n",
+       "      <td>101253.629760</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1548160131</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>17.5</td>\n",
+       "      <td>1532516134</td>\n",
+       "      <td>100421 040733.013</td>\n",
+       "      <td>-0.009</td>\n",
+       "      <td>101253.013</td>\n",
+       "      <td>15643997</td>\n",
+       "      <td>0.625760</td>\n",
+       "      <td>101253.629760</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1851784738</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>6.25</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>3.75</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1832516134</td>\n",
+       "      <td>100421 040745.013</td>\n",
+       "      <td>0.055</td>\n",
+       "      <td>101265.013</td>\n",
+       "      <td>19268604</td>\n",
+       "      <td>0.770744</td>\n",
+       "      <td>101265.838744</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2340</th>\n",
+       "      <td>506256244</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>20.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>488202918</td>\n",
+       "      <td>100421 050659.004</td>\n",
+       "      <td>0.062</td>\n",
+       "      <td>104819.004</td>\n",
+       "      <td>18053326</td>\n",
+       "      <td>0.722133</td>\n",
+       "      <td>104819.788133</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2341</th>\n",
+       "      <td>520091917</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>513202918</td>\n",
+       "      <td>100421 050700.012</td>\n",
+       "      <td>0.054</td>\n",
+       "      <td>104820.012</td>\n",
+       "      <td>6888999</td>\n",
+       "      <td>0.275560</td>\n",
+       "      <td>104820.341560</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2342</th>\n",
+       "      <td>520091918</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>513202918</td>\n",
+       "      <td>100421 050700.012</td>\n",
+       "      <td>0.054</td>\n",
+       "      <td>104820.012</td>\n",
+       "      <td>6889000</td>\n",
+       "      <td>0.275560</td>\n",
+       "      <td>104820.341560</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2343</th>\n",
+       "      <td>520091922</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>32.5</td>\n",
+       "      <td>513202918</td>\n",
+       "      <td>100421 050700.012</td>\n",
+       "      <td>0.054</td>\n",
+       "      <td>104820.012</td>\n",
+       "      <td>6889004</td>\n",
+       "      <td>0.275560</td>\n",
+       "      <td>104820.341560</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2344</th>\n",
+       "      <td>520091924</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>21.25</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>513202918</td>\n",
+       "      <td>100421 050700.012</td>\n",
+       "      <td>0.054</td>\n",
+       "      <td>104820.012</td>\n",
+       "      <td>6889006</td>\n",
+       "      <td>0.275560</td>\n",
+       "      <td>104820.341560</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2333 rows × 14 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      Trigger Count  RE1 (ns)  FE1 (ns)  RE2 (ns)  FE2 (ns)  RE3 (ns)  \\\n",
+       "0        1548160128       0.0      0.00      0.00      0.00     15.00   \n",
+       "1        1548160128       0.0      0.00     20.00      0.00      0.00   \n",
+       "2        1548160129       0.0      0.00      0.00     31.25      0.00   \n",
+       "3        1548160131       0.0      0.00      0.00      0.00      0.00   \n",
+       "4        1851784738       0.0      0.00      6.25      0.00      3.75   \n",
+       "...             ...       ...       ...       ...       ...       ...   \n",
+       "2340      506256244       0.0      0.00      0.00     20.00      0.00   \n",
+       "2341      520091917      37.5      0.00      0.00      0.00      0.00   \n",
+       "2342      520091918       0.0      0.00      0.00      0.00      0.00   \n",
+       "2343      520091922       0.0      0.00      0.00      0.00      0.00   \n",
+       "2344      520091924       0.0     21.25      0.00      0.00      0.00   \n",
+       "\n",
+       "      FE3 (ns)  1PPS Count           Datetime  Correction      T(sec)  \\\n",
+       "0          0.0  1532516134  100421 040733.013      -0.009  101253.013   \n",
+       "1          0.0  1532516134  100421 040733.013      -0.009  101253.013   \n",
+       "2          0.0  1532516134  100421 040733.013      -0.009  101253.013   \n",
+       "3         17.5  1532516134  100421 040733.013      -0.009  101253.013   \n",
+       "4          0.0  1832516134  100421 040745.013       0.055  101265.013   \n",
+       "...        ...         ...                ...         ...         ...   \n",
+       "2340       0.0   488202918  100421 050659.004       0.062  104819.004   \n",
+       "2341       0.0   513202918  100421 050700.012       0.054  104820.012   \n",
+       "2342       0.0   513202918  100421 050700.012       0.054  104820.012   \n",
+       "2343      32.5   513202918  100421 050700.012       0.054  104820.012   \n",
+       "2344       0.0   513202918  100421 050700.012       0.054  104820.012   \n",
+       "\n",
+       "       ΔT(clk)   ΔT(sec)         T(abs)  \n",
+       "0     15643994  0.625760  101253.629760  \n",
+       "1     15643994  0.625760  101253.629760  \n",
+       "2     15643995  0.625760  101253.629760  \n",
+       "3     15643997  0.625760  101253.629760  \n",
+       "4     19268604  0.770744  101265.838744  \n",
+       "...        ...       ...            ...  \n",
+       "2340  18053326  0.722133  104819.788133  \n",
+       "2341   6888999  0.275560  104820.341560  \n",
+       "2342   6889000  0.275560  104820.341560  \n",
+       "2343   6889004  0.275560  104820.341560  \n",
+       "2344   6889006  0.275560  104820.341560  \n",
+       "\n",
+       "[2333 rows x 14 columns]"
+      ]
+     },
+     "execution_count": 112,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "event_time_3"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Gráfico de flancos**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 113,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 30.0), ('RE3', 30.0), ('RE1', 35.0), ('FE1', 100.0), ('RE1', 102.5), ('FE1', 110.0), ('RE1', 113.75), ('RE1', 123.75), ('FE1', 130.0), ('FE3', 197.5), ('FE2', 242.5), ('RE2', 246.25), ('FE2', 253.75), ('RE2', 256.25), ('FE2', 262.5), ('RE2', 267.5), ('FE2', 271.25)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 30.0), ('RE3', 30.0), ('RE1', 31.25)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE3', 26.25), ('RE1', 27.5), ('FE1', 93.734375), ('RE1', 97.484375), ('FE1', 104.984375), ('RE1', 108.734375), ('FE1', 113.734375), ('FE3', 113.734375), ('RE1', 118.734375), ('RE3', 118.734375), ('FE1', 121.25)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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xUkrXAz8uXr69wTI+m1JKFe//ulE9Uj4j57LiZX0bG221/nf6rXedWvn6de+PdHoi9yF2NPnMro8OMp+mRcSL6L0r3PdTiy7vGqIRbx/ynd6eD/wypfT9VlUsIv6LfOYhwEerPv9GOH15XRqtf7msav0/Sz5D8csppT8OpY6DaFX9unX5krqIiSNJna78o3RK6f1vA3umId4CO6X0KL0/kH4VEZ+MiBdExNotqW3+V7bKHaXnm5Se70hvHy2XN5hvz/CrBJE7Xf5IRFweuVPsx0od6pa/FG7TYDZDXbcdSq8b/WBq1Y+pl6WUYoDhzNpIETEhIv41In4eEYuLDoRTaXs8vxi10bYYDQNtX+jdxpvUvf/c4nHU2k7JJxps39qwqDT+SOO/J719mQ1n/WqXB00A/laXhH5yoLdfnPXIl2+OhkfJl6FWeS6963lpg3n8tnh8dnH5U5W/DPD+3cXj/Sl3BtxonI0b1GHcKY793yC3k6NSdefcw5nvLuRk39rkM+be14r5jrWIeCa5j61HgCNbON+D6U1ifjul9JWxnH4Iy3kxeb3vAD42GsuQpG4wcfBRJKl9UkoBT569sBW5v4/PkO8EMpvGZxIM5HByvyfPAU4shsci4q/ks2e+PtR/Pkv1fXiA91eXblhU/tG3eel5OQFTb0gJsrKiz5LL6JsIWQEso/fsq9rdrQY8M2cY61buYLpR/Zc0KGupiJgCXEy+xKnmMfJlbrUOVjchr0dTZym1UOX2LdTuKlSfMKi1n1FpOyM00viPdN94evE4gd72PZgpg48yLPcNcLYeDH07TSS30bvrRxhoH6W3/QynjY22Wp0G2/a18vp1GOn0Hyf33fKzlNKFg8yjKcUx93fkNjwX2L9BbEbbw+T2MuTtU3zufp18NumH08Cdaw9JcTOI75L3zQuB94zS9OVt3mj9y2Xl9Z9MXv8APphSemgo9WzCiOo3CssfaP1Ga/mSuohnHEnqCim7M6V0Dvn2wgn4fxHx8kEmrZrXYvK//K8G/pd8N7MJ5DMU/h8wfzjzbYGqS0xa4ZvkpNEi8qVNm6bcKfQWKXfwW74b2rBux91F/pucNHoU+DD58oN1U0qbpqJjY3rP/OmmbTFabadTDGf9aped3d3EmVJVZ0y10mjebr3b1ZKCGw9yx6jacao+iXhHXXnT00fETuRL0x4BPhoRU+uH0vRrV7zXT5E0+j35Uuh55DMh7xqkbqNp0O1TJNQ3qhsf8h80LyZfvvuNim1Tjtfk4v2Gd/2KiDeSO8yfSO536m0ppdWNphnu9EWyrpboaNQ+ymXl9f8v8uXXlwCXVqz/OqVxpxTvr9vsutQtazj1G6mhLv+hlO+yJukpyMSRpK6TUuoh31o6gC8Op1+SlNITKaVfp5Q+lFLai/yP7DuAxeRLNb7XwsvXGllaev70Acca/EdRpYjYlt6+et6eUrqg4myqRv0ajUS5T5tmvxSPtrcVj59MKZ2ZUlpc0SfMaG2P0VBrPy1vOy0w0viPdN+o/VjfLCLG+uyxoShvp0aXR9bKVpPPkBsvyndz2n3AsXrL5gww/RYRsTkVis+IXSqm34acgFiP3GfewxVDzXG194p+qaqWU0saPZ3c0fnLUkp3NlinsVDbPs1sW+i7fXYoHp8DPEj/bXNJadxLiveuGmghxZlC55PPavspcMgQk0bDmb62PiNZ/wOpbhtfrpvuYeAHg9TnSSml++g9TjVTvyfINztolaHue39r4bIldRkTR5K61SfJ/+I/C3jnSGeWUno4pfQ9ek9535J8x5PR9k/yJWOQ71AzkEZljWxben79AOPsP8x5D2YhvT9wX9ZgvLE8u6u2PSq3RdGh8k5jVpuRq/WbM7PBOI3KRtNI4389vWcazWww/UBltU5s16K3A91OdB29l4zu12C82n56Y0rp8QbjdZs/kM8AhHwWaD8RsT29tyH/TV3xb0vPK6cnn01a69S3fvqWKJJGPeSk0TzyXcZaeXbIcNW2z64Rsd0A49S226PkeLRcRLyZfKZQLelz8FDa8Qimr63/i4szq6rU1v/W4mYUY6lWv1dF6ZrvOrX6/aHop7FV5pH/LCsvo48i6f7i4uWo7DuSuoOJI0ldKaW0gPwlEuDEBp3F9tHEWUTlL2UD9UnSMsXZLrW7Jb0/Ivp1TFt0TnrwMBfxYOn5cyrmvT5wwjDn3VCxbrW7wb0/IjarWP6zgINGY/kDqG2Pftui8JmxqkiL1O5I9pKIeGF9YUSsAxw7tlXKRhr/4sy43xcvj6nadyPiJfT+qKmf/h/0dpz9qYjYsFF9i7u4jbmiM+baXc8+UvXjNiKeQ+/dF1t2V6tOkFJ6hNxPDcCRA8Spdqezh8lJg/L0/6Q32XHMAJ8FtU6NbwWuKE3bM9jli6V5lDuHX1aeeSlpVL48rROSRpAv53qYfIZuv86di7On3l+8vLCIBwAppZMH2TblhHDt5gQzKpbxJvKZOJOK+gw1aTSS6b9L/pNpfeDfK+Y9jd4zUb9TLkspzRpk/d9VGn2H4v03NrtehW8Vj8+g9y6Z5fq9gN7t/O368pEojtG1eb6t2Bb1PghMJW/D77Zy+ZK6i4kjSd3sNPIZCdNovnPNfSPipoj4cETsGhETIHcCGhH7AmcX4y0Bbmp1hQdwGjlhtSXwm4jYs1Snl5N/VA52K+WB/J3efxS/ERHPqxVExD7kHzujeRel08g/WjYDfhsRexXLjoh4JfBLhr9uw1G7g9YJEfHmiJhY1GeHiPgeOUH3wBjWZ6R+SL5EIoAfR8QbapduRsR0ckfg7bz0bqTxP4m8j+8O/LxIohIRE4szEC6kcbyOApYDOwN/LrbPk32QRMTWEXFYRFxGvuV2u5xA7px9J+DXEbFHUb8JEXEg+TKgicAC4Jy21bKBiNisPJSKptaVVZ318XFyP0NPAy4qxXm9iPg4vYmNU1NKVfH+KPmH7XOAH0TE1sX0m0TEWfSecfZfKaWW9jcVuZ+kWp9GcxnGmUYRsU7dtptaKtusbhjSd/die51avHx/RHy8dulmkfC6qKj7I+Q4tFREvIHeM4UuZOhJoxFNX5xBVLvj2ikRcWQtCV18Hv6C3FfTXcDnmp1vsyJiZvTetXNWRf0uIx8HAb4SEW8tfS/Zj94/lmYD5w6wjI3r2k+tjUypaztV/XOdTl73KcAvat8RImLtiDgSOKVWt5TSvCGuvqTxJKXk4ODg0FEDcDL5x2JqYtyfFuPeBqxTen9m1TzK7xfDY8C95B9ttfceBF5cN920Uvm0geY5SF1r08+sKDuorg4Pkb/IJ3ISa1bxfOUwtudr6+b9SGney8mXx1TWrUXr9hpgZd26rSie30H+17apeFfMe2ajZVeMvz35S3JtmsfJlwrWXh9HTqYl4OSK6RcVZbNaWDZo/Qep0y7AnaX5rCyt08oi/rWyvYexjWvTLi+2XaPhx62OP3B0adpEThTV5je7VH7LANO/sG77rCbv8yvq5vvVYWybAeNSlM8qyhc1Ma9DgFWl+jxITijXXi8Gdm20DzSY96D1oPe42zPU7VDXTgYbBtpWB9J7XEpFG15dev0NIBos/3D6HuceIJ812nC5Q1ivger9jbqYNdxHBolPM8O0YaxD1NVzNX2Pe48ABw5jvjNL85g5wDj/LI2zdJDtU3X8GNH0xTzWIf9pUJvPY+TjUO31vcDzhrH+5bhVxqVuG80aYJyNyZes1sZ7tG5fWARs36Aei5psO+cOMP3zim1QPkY/Vnr9a0rfrxwcHJ6ag2ccSep2nyoetwHe18T4fyWfVXI2+W5q9wIbkH+I3kC+q9quKaUrW17TBlJKFwB7AT8ifzleh3y77f8B9qT3Eqtlw5j3xcBLyP+sLiOfuXAv+W5rz0v5H89Rk1L6Bfkudj8gdwS8NnndvkRet4Wjufy6utxK3s5fp/eOMivJZ+a8KqV02ljVpVVSSrcAzybfIXAR+UfiSvJlYnvT29cPDKP9lKxHPiuu0dDvcq+Rxj+ldCb5x9cl5GTAuuT1PJW8frXLiZYNMP0fyWccHUu+TGkZ+Q5Sa8hn5J1H7hj/6Eb1GG0ppR8Cu5HPKFpAPgasJh+XTgJ2Tym1smPcjpJSuoTcjr9Kju+65Hj/FjgopfTulFJqMP3XgBcA3wNuJ59BcQ/5z4X9Ukonj1LVy9+lN2DwfWTMpezd5D8ofkvvfnQreXs/p9j+o6G8fTZjiMePFkxPSmkV+ayz95Iva3yEfAbTP4AvALullK4d1tq1QMpnhe1NPkZdS28C9GZyf47PLj67Rmv515KPPV8gb5NJ5G30B/I2O6DYhpKewqLBZ7AkqUNExKeA44HfpZQadaAr9RERryB3aroS2CCNr46ViYjvAv8KfCOl1Owlq5IkSWqSZxxJUoeLfIvpw4uXv2o0rlQWEUFvx8K/G4dJo52BNxcv3TckSZJGgYkjSeoAEfEfEfGxiNip1GHzOkXHuFcAW5AvYftGO+upzhMRL4uIMyNir4iYXLwXRSenF9Hbh9X/a2c9hysiPhkR/x4R25U6jV0vIg4hd0q8LnALdXfbkiRJUmt4qZokdYCIOBP4UPFyDblPow3I/RFRvH5jSqlnzCunjhYRbyTforrmAfJdgmp3D0vAsSmlz49x1VoiIn4KvKF4+Tj5Lm0b0fvn1+3Aq1NKN4955SRJkp4CTBxJUgeIiD2BQ8mdWG8NbEq+w9JC8h1N/ieldHv7aqhOFRFbkS9l3A/YEdic3GH0HcCVwJdSSte0r4YjExEvJd9xbF/ybcM3IXfcOo/cqfmXUkr3t6+GkiRJ45uJI0mSJEmSJFWaOPgonWOjjTZKO+20U7uroSF45JFHWG+99dpdDTXJeHUX49VdjFd3MV7dxXh1F+PVXYxXdzFe3aWT4nXttdfem1LavKqsqxJHW265Jddc07Vn2z8l9fT0MHPmzHZXQ00yXt3FeHUX49VdjFd3MV7dxXh1F+PVXYxXd+mkeEXErQOVeVc1SZIkSZIkVTJxJEmSJEmSpEomjiRJkiRJklTJxJEkSZIkSZIqmTiSJEmSJElSJRNHkiRJkiRJqmTiSJIkSZIkSZVMHEmSJEmSJKmSiSNJkiRJkiRVMnEkSZIkSZKkSiaOJEmSJEmSVMnEkSRJkiRJkiqZOJIkSZIkSVIlE0eSJEmSJEmqZOJIkiRJkiRJlUwcSZIkSZIkqZKJI0mSJEmSJFUycSRJkiRJkqRKJo4kSZIkSZJUycSRJEmSJEmSKpk4kiRJkiRJUiUTR5IkSZIkSapk4kiSJEmSJEmVTBxJkiRJkiSpkokjSZIkSZIkVTJxJEmSJEmSpEomjiRJkiRJklTJxJEkSZIkSZIqmTiSJEmSJElSJRNHkiRJkiRJqmTiSJIkSZIkSZVMHEmSJEmSJKmSiSNJkiRJkiRVMnEkSZIkSZKkSiaOJEmSJEmSVMnEkSRJkiRJkipNbHcFWuWmm+AFL8jP11uvvXVRr8cffyGTJrW7FmqW8eouxqu7GK/uYry6i/HqLsaruxiv7mK8Oscjj8CECfmx242bxNHGG8Mmm+Tnb3pTe+uiXrfffg9bb711u6uhJhmv7mK8uovx6i7Gq7sYr+5ivLqL8eouxqtz/OQnENHuWrTGuEkcbbstPPOZ+fmXvtTeuqhXT88/mDnTA1e3MF7dxXh1F+PVXYxXdzFe3cV4dRfj1V2MV+e4+eZ216B17ONIkiRJkiRJlUwcSZIkSZIkqZKJI0mSJEmSJFUycSRJkiRJkqRKJo4kSZIkSZJUycSRJEmSJEmSKpk4kiRJkiRJUiUTR5IkSZIkSapk4kiSJEmSJEmVTBxJkiRJkiSpkokjSZIkSZIkVTJxJEmSJEmSpEomjiRJkiRJklTJxJEkSZIkSZIqmTiSJEmSJElSJRNHkiRJkiRJqmTiSJIkSZIkSZVMHEmSJEmSJKmSiSNJkiRJkiRVMnEkSZIkSZKkSiaOJEmSJEmSVMnEkSRJkiRJkiqZOJIkSZIkSVIlE0eSJEmSJEmqZOJIkiRJkiRJlUwcSZIkSZIkqZKJI0mSJEmSJFUycSRJkiRJkqRKJo4kSZIkSZJUycSRJEmSJEmSKpk4kiRJkiRJUqUxTxxFxKsi4ncRcVdErIqIJRFxfkQ8a6zrIkmSJEmSpIFNbMMyNwGuBc4ClgLbAR8D/hwRe6SUbm1DnSRJkiRJklRnzBNHKaXvA98vvxcRfwFuAQ4CzhjrOkmSJEmSJKm/Tunj6L7icXVbayFJkiRJkqQntS1xFBFrRcTaEfFM4BzgLurORJIkSZIkSVL7tKOPo5qrgecVz+cDL08p3dNogim33QYzZ/Z98+CD4QMfgBUr4IZ5+b2ZR/eWz5qVh3vvhYMO6j/TI4+EQw6B226Dww7rX37MMfC618HcufC+9/UvP+EE2H9/uOEGOPro/uWf/jTsuy/86U9w/PH9y888E2bMgEsvhVNP7V9+zjkwfTpcdBGcUXEV33e+A9tuCz/8IZx9dv/yCy6AzTaDc8/NQ71LLoEpU+Css+D88/uX9/Tkx9NPh4sv7ls2eTL88pf5+SmnwGWX9S3fdFM46qj8/Ljj4Kqr+pZvsw2cd15+fvTReRuW7bwzfOUr+fkRR8C8eX3LZ8zI2w/g0ENhyZK+5fvsA6edlp+/5S1w3319y/fbD048MT8/4AB49NG+5a99LRx7bH5e3+6gb9s78MD+5V3Y9mYsWwYbbZTLu73tXXhhfj6O296ElSury7uw7fUxTtvejGXLYPfdx0XbG0/HvT5KbW/GiSf2Hg9rurTtAePmuDdQ29tq773zdOOg7Y2n4x5Q2fb6fN/o8rY3no57A7Y9GDdtr49x2vae3L/GQ9sbD8e9+fNh5uF9y0ttb+fTT4eTT+5bPtZtr7YtGmhn4ugwYANgR+BY4LcR8aKU0qLySBFxBHAEwO6TJrFs2bI+M7ln3jzu6OlhwsqV7Dopb7DyOHfdcgt39fQw6cEH2a1uWoDb58xhaU8P69xzD7tWlN82ezb3rb8+kxcvZnpF+a033sgDEycydf58dqoo/+d11/HQY4+xwc03s2NF+fxrrmH5smVsfOONbF9RPvfqq3n0zjvZdPZstq0o//tVV7FqwQI2nzOHrSvK5/zxjzy+4YZsdcstbFVRftMVV/DEuuvy9Hnz2KKi/IaiEW27YAGb1pWvefRRZhfl2y9cyMZ15Y8/8QTLly+np6eHHRYvZsO68lWTJvH3Yvqdlixhal35ijvuYF5RvvMddzClrnz5kiXML8p3vftu1qkrf3DxYhYW5bstXcqkhx7qU/7AwoXcWpTvcf/9rLVqVZ/y+xYs4LaifEbFtim3vWdXlHdj21uzZs2T+0+3t705Rfl4bnsrli/vd0yE7mx7ZeO17a1Zs4a77757XLS98XTcKyu3vaeXjoc13dr2YPwc9wZqeytXrqRnnLS98XTcg+q2V/6+0e1tbzwd9wZqe8unTGHOOGl7ZeO17dX2r/HQ9rr9uLfZZjux0e239Ps+UW57O6xe3a98rNtebVs0EimlQUcabRGxEbAI+EFK6f0DjTd9+vQ0d+7csaqWWqCnp4eZVRl0dSTj1V2MV3cxXt3FeHUX49VdjFd3MV7dxXh1l06KV0Rcm1Laq6qsIzrHTiktI1+utlObqyJJkiRJkqRCRySOImJLYBdgQbvrIkmSJEmSpGzM+ziKiJ8A1wE3AQ8BOwMfBlYDFb1iSZIkSZIkqR3a0Tn2n4GDgWOAtYHbgB7gtPqOsSVJkiRJktQ+Y544Sil9FvjsWC9XkiRJkiRJQ9MRfRxJkiRJkiSp85g4kiRJkiRJUiUTR5IkSZIkSapk4kiSJEmSJEmVTBxJkiRJkiSpkokjSZIkSZIkVTJxJEmSJEmSpEomjiRJkiRJklTJxJEkSZIkSZIqmTiSJEmSJElSJRNHkiRJkiRJqmTiSJIkSZIkSZVMHEmSJEmSJKmSiSNJkiRJkiRVMnEkSZIkSZKkSiaOJEmSJEmSVMnEkSRJkiRJkiqZOJIkSZIkSVIlE0eSJEmSJEmqZOJIkiRJkiRJlUwcSZIkSZIkqdLERoUR8Y0hzCullN4zwvpIkiRJkiSpQzRMHAEvB1KT82p2PEmSJEmSJHWBhomjlNK0MaqHJEmSJEmSOox9HEmSJEmSJKnSkBJHEbFeRPxHRFwQEb+PiGcW778tInYZnSpKkiRJkiSpHQbr4+hJEbEt0ANsA9wC7A6sXxS/DNgfOLzF9ZMkSZIkSVKbDOWMozOAVcDOwPOAKJVdDry4hfWSJEmSJElSmzV9xhHwCuCIlNKtEbFWXdntwNatq5YkSZIkSZLabShnHK0NPDxA2YbA6pFXR5IkSZIkSZ1iKGcc3QS8BfhVRdkBwLUtqdEwPfQQzJqVn3/gA+2sicpuvHFjVptS7BrGq7sYr+5ivLqL8eouxqu7GK/u0o3xOussmDgRzj+/unzPPWHpUthpp6HNd/582HxzuP761s53JMssmzULFizYjZNOat3yNbq6Zf8aSuLoc8AFEQHwveK9Z0XEG4D3AK9vcd2GZMEC+MlP8vPaozrBc9pdAQ2J8eouxqu7GK/uYry6i/HqLsaru3RnvNZdd+CypUth+fKhz3OwaYY735Ess+z3v4fFizfnFa9obR00mrpj/2o6cZRS+nFEfAD4DPDu4u1vky9f+/eUUtWZSGPmmc+EGTPy8y9+sZ01Udn111/Pnnvu2e5qqEnGq7sYr+5ivLqL8eouxqu7GK/u0o3xOuoomNCgU5baGUE9PUOb78yZjcuHO9+RLLPsaU+DSZMe5txz1x98ZHWETtq/XtzgdmdDOeOIlNKXI+I7wD7AFsB9wJ9SSgP1fTRmpk6FDTfMz1/0ovbWRb1Wr37QeHQR49VdjFd3MV7dxXh1F+PVXYxXd+nGeNV+Fz7VrLsuTJ26puvi9VTWLfvXkBJHACmlR4BLR6EukiRJkiRJ6iBDShxFxATg+cB2QL+rRlNK325RvSRJkiRJktRmTSeOIuJZwE+BZwBRMUoi93kkSZIkSZKkcWAoZxydVYx/MDAbWDUqNZIkSZIkSVJHGEri6LnArJTSj0erMpIkSZIkSeocDW5S2M+9wGOjVRFJkiRJkiR1lqEkjr4AfDAi1hqtykiSJEmSJKlzDOVStc2B6cDfIuK3wP115SmldFLLaiZJkiRJkqS2Gkri6ITS82dWlCfAxJEkSZIkSdI40XTiKKU0lMvaJEmSJEmS1OVMBkmSJEmSJKnSUC5Ve1JEbAGsW/9+SmnxiGskSZIkSZKkjtB04igiNgD+BzgEWGeA0bzjmiRJkiRJ0jgxlDOO/g94C/B1YDawalRqJEmSJEmSpI4wlMTRq4GPpJT+b7QqI0mSJEmSpM4x1M6x545KLSRJkiRJktRxhpI4+gHwutGqiCRJkiRJkjrLUC5V+w1wZkSsD1wC3F8/Qkrpd62qmCRJkiRJktprKImjnxWPOwCzSu8nIIpH76omSZIkSZI0TgwlcfSyUauFJEmSJEmSOk7TiaOU0uWjWRFJkiRJkiR1lqHeVU2SJEmSJElPEUO5VI2I2A04HJgOrFtXnFJK+7WqYpIkSZIkSWqvphNHEfEC4HJgEfBM4CZgY2A7YAkwfxTqJ0mSJEmSpDYZyqVqnwZ+DOxGvovae1JK04D9yXdTO7XltZMkSZIkSVLbDCVx9GzgPCAVr9cCSCn9jpw0Oq21VZMkSZIkSVI7DSVxtDbwSErpCeB+4GmlsrnA7q2smCRJkiRJktprKImj+cDWxfObgHdHxISImAC8C7ir1ZWTJEmSJElS+wzlrmoXATOB75H7O/oF8BCwBpgK/EerKydJkiRJkqT2aTpxlFI6ufT80ojYG3gLMAX4VUrpN62vniRJkiRJktplKGcc9ZFSuh64voV1kSRJkiRJUgcZSh9HIxYRB0XEhRFxa0Q8GhFzI+K0iFh/LOshSZIkSZKkwTWdOIqItSPipIi4JSJWRMSaumF1E7M5ltwn0vHAq4GzgSOB3xadbEuSJEmSJKlDDOVStc8BHwR+CfwYWDWM5b0upbS09PryiLgf+Ba54+3fDWOekiRJkiRJGgVDSRwdBJyUUvrUcBdWlzSq+WvxuPVw5ytJkiRJkqTWG0riaCpw1SjU4aXF498HG3HKbbfBzJl93zz4YPjAB2DFCrhhXn5v5tG95bNm5eHee+Ggg/rP9Mgj4ZBD4Lbb4LDD+pcfcwy87nUwdy687339y084AfbfH264AY4+un/5pz8N++4Lf/oTHH98//Izz4QZM+DSS+HUU/uXn3MOTJ8OF10EZ5zRv/w734Ftt4Uf/hDOPrt/+QUXwGabwbnn5qHeJZfAlClw1llw/vn9y3t68uPpp8PFF/ctmzwZfvnL/PyUU+Cyy/qWb7opHHVUfn7ccXBVXfPZZhs477z8/Oij8zYs23ln+MpX8vMjjoB58/qWz5iRtx/AoYfCkiV9y/fZB047LT9/y1vgvvv6lu+3H5x4Yn5+wAHw6KN9y1/7Wjj22Py8vt1B37Z34IH9y7uw7c1Ytgw22iiXd3vbu/DC/Hwct70JK1dWl3dh2+tjnLa9GcuWwe67j4u2N56Oe32U2t6ME0/sPR7WdGnbA8bNcW+gtrfV3nvn6cZB2xtPxz2gsu31+b7R5W1vPB33Bmx70H1t74YzYZ11gF3z6/rj3g1nwpTJwPT8utm2d0PxeubR1W2vXN6qtvfEGrhpdt/fuFDd9m44k6mrV8PMY8dH2xtHx70+Sse9nU8/HU4+uW/5WB/3atuigaEkji4CXkILLyeLiK2BTwKXppSuGWCcI4AjAHafNIlly5b1Kb9n3jzu6OlhwsqV7Dopb7DyOHfdcgt39fQw6cEH2a1uWoDb58xhaU8P69xzD7tWlN82ezb3rb8+kxcvZnpF+a033sgDEycydf58dqoo/+d11/HQY4+xwc03s2NF+fxrrmH5smVsfOONbF9RPvfqq3n0zjvZdPZstq0o//tVV7FqwQI2nzOHrSvK5/zxjzy+4YZsdcstbFVRftMVV/DEuuvy9Hnz2KKi/IaiEW27YAGb1pWvefRRZhfl2y9cyMZ15Y8/8QTLly+np6eHHRYvZsO68lWTJvH3Yvqdlixhal35ijvuYF5RvvMddzClrnz5kiXML8p3vftu1qkrf3DxYhYW5bstXcqkhx7qU/7AwoXcWpTvcf/9rLWq79WX9y1YwG1F+YyKbVNue8+uKO/GtrdmzZon959ub3tzivLx3PZWLF/e75gI3dn2ysZr21uzZg133333uGh74+m4V1Zue08vHQ9rurXtwfg57g3U9lauXEnPOGl74+m4B9Vtr/x9o9vb3ng67g3U9pZPmcKcLmt7u06aw5p1JtPTczfQ/7i366Q5PL7OVHp67gSab3u7TpoD5N+bVW2vXN6qtrf5JtPYbNKcfp9JVW1v10lzSBOfYNmyZeOi7Y2n415Z+bi3w+rV/WI71se92rZoJFJKAxdG7Fh6uTnwbeC7wCXA/fXjp5T+OegSe+c9FegBng48P6W0pPEUMH369DR37txmF6EO0NPTw8yqDLo6kvHqLsaruxiv7mK8uovx6i7Gq7sYr+5ivLpLJ8UrIq5NKe1VVTbYGUfzgXJmKYCTgZPql1GMt1aTFZpMPoNpR+ClzSSNJEmSJEmSNLYGSxy9m76JoxGLiEnABcBewCtSSrNbOX9JkiRJkiS1xmCJo28DrwEWppRurhohIvYApqWULhpsYRExgXyp28uB16aU/jzE+kqSJEmSJGmMTBik/FDg+8AjDcZ5GPheRLy9ieX9H/BW4AzgkYjYuzRs01SNJUmSJEmSNCaaSRx9M6W0cKARUkqLgG8A72xieQcUj/8NXFU3HN7E9JIkSZIkSRojg12q9lzgi03M51LgHYONlFKa1sS8JEmSJEmS1AEGO+NofeCBJubzQDGuJEmSJEmSxonBEkf3Ats3MZ/tinElSZIkSZI0TgyWOPoDzfVdNKsYV5IkSZIkSePEYImjM4H9IuILEbF2fWFETIqIM4GXA19offUkSZIkSZLULg07x04pXRURxwBnAO+IiN8AtxbF2wOvADYFjkkp/XlUaypJkiRJkqQxNdhd1UgpnRkR1wEfBd4ETC6KHgV6gM+klK4ctRpKkiRJkiSpLQZNHAGklK4AroiICcBmxdv3pZTWjFrNJEmSJEmS1FZNJY5qUkpPAPeMUl0kSZIkSZLUQQbrHFuSJEmSJElPUSaOJEmSJEmSVMnEkSRJkiRJkiqZOJIkSZIkSVIlE0eSJEmSJEmqZOJIkiRJkiRJlUwcSZIkSZIkqZKJI0mSJEmSJFUycSRJkiRJkqRKJo4kSZIkSZJUycSRJEmSJEmSKpk4kiRJkiRJUiUTR5IkSZIkSapk4kiSJEmSJEmVTBxJkiRJkiSpkokjSZIkSZIkVTJxJEmSJEmSpEomjiRJkiRJklTJxJEkSZIkSZIqmTiSJEmSJElSJRNHkiRJkiRJqmTiSJIkSZIkSZVMHEmSJEmSJKmSiSNJkiRJkiRVMnEkSZIkSZKkSiaOJEmSJEmSVMnEkSRJkiRJkiqZOJIkSZIkSVIlE0eSJEmSJEmqZOJIkiRJkiRJlUwcSZIkSZIkqZKJI0mSJEmSJFUycSRJkiRJkqRKJo4kSZIkSZJUycSRJEmSJEmSKpk4kiRJkiRJUiUTR5IkSZIkSapk4kiSJEmSJEmVTBxJkiRJkiSpkokjSZIkSZIkVTJxJEmSJEmSpEomjiRJkiRJklTJxJEkSZIkSZIqmTiSJEmSJElSJRNHkiRJkiRJqmTiSJIkSZIkSZVMHEmSJEmSJKmSiSNJkiRJkiRVMnEkSZIkSZKkSiaOJEmSJEmSVMnEkSRJkiRJkiqZOJIkSZIkSVIlE0eSJEmSJEmqZOJIkiRJkiRJlUwcSZIkSZIkqZKJI0mSJEmSJFUa88RRRGwTEV+MiKsiYkVEpIiYNtb1kCRJkiRJUmPtOONoJ+Bg4AHgyjYsX5IkSZIkSU1oR+LoipTSlimlA4EftWH5kiRJkiRJasKYJ45SSk+M9TIlSZIkSZI0dHaOLUmSJEmSpEoT212BoZhy220wc2bfNw8+GD7wAVixAg48sP9Es2bl4d574aCD+pcfeSQccgjcdhscdlj/8mOOgde9DubOhfe9r3/5CSfA/vvDDTfA0Uf3L//0p2HffeFPf4Ljj+9ffuaZMGMGXHopnHpq//JzzoHp0+Gii+CMM/qXf+c7sO228MMfwtln9y+/4ALYbDM499w81LvkEpgyBc46C84/v395T09+PP10uPjivmWTJ8Mvf5mfn3IKXHZZ3/JNN4WjjsrPjzsOrrqqb/k228B55+XnRx+dt2HZzjvDV76Snx9xBMyb17d8xoy8/QAOPRSWLOlbvs8+cNpp+flb3gL33de3fL/94MQT8/MDDoBHH+1b/trXwrHH5uf17Q7GZdubsWwZbLRRLu/2tnfhhfn5OG57E1aurC7vwrbXxzhtezOWLYPddx8XbW88Hff6KLW9GSee2Hs8rOnStgeMm+PeQG1vq733ztONg7Y3no57QGXb6/N9o8vb3ng67g3Y9mDctL0+xmnbe3L/Gg9tbxwd9/ootb2dTz8dTj65b/lYt73atmig4xNHEXEEcATA7pMmsWzZsj7l98ybxx09PUxYuZJn15UB3HXLLdzV08OkBx9kt4ry2+fMYWlPD+vccw+7VpTfNns2962/PpMXL2Z6RfmtN97IAxMnMnX+fHaqKP/nddfx0GOPscHNN7NjRfn8a65h+bJlbHzjjWxfUT736qt59M472XT2bLatKP/7VVexasECNp8zh60ryuf88Y88vuGGbHXLLWxVUX7TFVfwxLrr8vR589iiovyGohFtu2ABm9aVr3n0UWYX5dsvXMjGdeWPP/EEy5cvp6enhx0WL2bDuvJVkybx92L6nZYsYWpd+Yo77mBeUb7zHXcwpa58+ZIlzC/Kd737btapK39w8WIWFuW7LV3KpIce6lP+wMKF3FqU73H//ay1alWf8vsWLOC2onxGxbYZj21vzZo1T+5j3d725hTl47ntrVi+vN8xEbqz7ZWN17a3Zs0a7r777nHR9sbTca+s3PaeXjoe1nRr24Pxc9wbqO2tXLmSnnHS9sbTcQ+q2175+0a3t73xdNwbqO0tnzKFOeOk7ZWN17ZX27/GQ9sbT8e9snLb22H16n7fN8a67dW2RSORUhp0pNESEYcDXwV2SCktGmz86dOnp7lz5456vdQ6PT09zKzKoKsjGa/uYry6i/HqLsaruxiv7mK8uovx6i7Gq7t0Urwi4tqU0l5VZfZxJEmSJEmSpEomjiRJkiRJklSpLX0cRUSt967nFY8HRMRSYGlK6fJ21EmSJEmSJEl9tatz7B/VvT6reLwcmDm2VZEkSZIkSVKVtiSOUkrRjuVKkiRJkiSpefZxJEmSJEmSpEomjiRJkiRJklTJxJEkSZIkSZIqmTiSJEmSJElSJRNHkiRJkiRJqmTiSJIkSZIkSZVMHEmSJEmSJKmSiSNJkiRJkiRVMnEkSZIkSZKkSiaOJEmSJEmSVMnEkSRJkiRJkiqZOJIkSZIkSVIlE0eSJEmSJEmqZOJIkiRJkiRJlUwcSZIkSZIkqZKJI0mSJEmSJFUycSRJkiRJkqRKJo4kSZIkSZJUycSRJEmSJEmSKpk4kiRJkiRJUiUTR5IkSZIkSapk4kiSJEmSJEmVTBxJkiRJkiSpkokjSZIkSZIkVTJxJEmSJEmSpEomjiRJkiRJklTJxJEkSZIkSZIqmTiSJEmSJElSJRNHkiRJkiRJqmTiSJIkSZIkSZVMHEmSJEmSJKmSiSNJkiRJkiRVipRSu+vQtIh4GJjb7npoSDYD7m13JdQ049VdjFd3MV7dxXh1F+PVXYxXdzFe3cV4dZdOitf2KaXNqwomjnVNRmhuSmmvdldCzYuIa4xZ9zBe3cV4dRfj1V2MV3cxXt3FeHUX49VdjFd36ZZ4eamaJEmSJEmSKpk4kiRJkiRJUqVuSxx9pd0V0JAZs+5ivLqL8eouxqu7GK/uYry6i/HqLsaruxiv7tIV8eqqzrElSZIkSZI0drrtjCNJkiRJkiSNkY5PHEXEthFxQUQ8GBEPRcSPI2K7dtdLEBEzIyJVDMvqxts4Ir4WEfdGxCMRcWlE7NGmaj8lRMQ2EfHFiLgqIlYUcZlWMd66EfG5iLgzIh4txn9JxXgTIuK4iFgUESsj4saIeMuYrMxTwBDiVbW/pYiYUTee8RpFEXFQRFwYEbcW+83ciDgtItavG6+pY1+z+6GGp5l4RcS0BvvXRnXzM16jKCJeFRG/i4i7ImJVRCyJiPMj4ll14zX1/dDvIKOrmXg1+32xGNd4jbGI+FURj1Pr3vczrANVxcvPsM7Q7LGuW/etjk4cRcQU4HfALsA7gcOAZwK/j4j12lk39fEfwD6lYf9aQUQEcBHwauAo4C3AJHIMtxn7qj5l7AQcDDwAXNlgvK8D7wU+DrwWuBP4ddQlIoBTgJOBLwEHAH8GfhQRB7a01k9dzcYL4Fz67m/7APPqxjFeo+tYYA1wPPnYdjZwJPDbiJgAQz72NbsfangGjVfJafTfvx6uG8d4ja5NgGuBfwdeCRwH7Ab8OSK2h+a/H/odZEwMGq+SAb8vgvFqh4h4O/Ccivf9DOtAA8WrxM+wztCq38adFauUUscOwIfIX/Z2Kr23A7Aa+M921++pPgAzgQTs32CcNxTjvKz03obA/cD/tnsdxusATCg9P7yIwbS6cZ5TvP+u0nsTgbnAz0vvbQGsAj5RN/1lwE3tXtfxMDQTr6IsAacOMi/jNfrx2rzivX8r4vPy4nVTx75m90OHUY/XtOL14YPMy3i1J4bTi+1+TPG6qe+HfgfpmHgN+n3ReLUlThsDdwFvr/9+4WdY5w2DxMvPsA4YmjnWdfO+1dFnHAGvB/6cUppfeyOltBD4I3mjq/O9HrgjpfT72hsppQfJmVZjOEpSSk80MdrrgceBH5amWw38AHhVRKxTvP0qYG3gvLrpzwP2iIgdRl7jp7Ym49Us4zXKUkpLK97+a/G4dfHY7LGv2f1Qw9RkvJplvNrjvuJxdfHY7PdDv4O0R328mmW8xtZngZtTSt+vKPMzrPM0ilezjFf7de2+1emJo92AmyvenwM8q+J9tcd3I2JNRNwXEd+Lvn0MNIrhdhExdWyqqAq7AQtTSivq3p9DTjzsVBpvFTC/YjxwXxxrRxb9SKwo+pV4cV258WqPlxaPfy8emz32NbsfqrXq41VzWkSsjtxvzs8r+hwwXmMkItaKiLUj4pnAOeR/2ms/mJr9fuh3kDEySLxqGn1fBOM1ZiLiReQzLz84wCh+hnWQJuJV42dYZ2jFb+OOi9XEsV7gEG1C7vOj3v3k0/XUXg8CZwCXAw8Be5L7kLgqIvZMKd1DjuGiimnvLx43BpaPflVVodH+VSuvPS5LxTmSDcbT6DsPuBi4A9ge+Ajwu4h4RUqppxjHeI2xiNga+CRwaUrpmuLtZo99ze6HapEB4rWK/GP3N8BSct85xwN/iojnp5RqCSbjNXauBp5XPJ9PvqzwnuJ1s98P/Q4ydhrFq5nvi2C8xkRErE0+3p2eUpo7wGh+hnWIJuPlZ1hnaOVv446LVacnjtTBUkrXA9eX3ro8Iq4A/kLuFOyEtlRMGqdSSoeVXl4ZET8j/2txKvCi9tTqqa34Z+hn5Esy3tXm6mgQA8UrpXQn8P7SqFdGxK/I/+z9N3DoWNZTQO7wegNgR3IH57+NiBellBa1tVYayIDx8vtix/kvYDLwqXZXRE0ZNF5+hnWG8X6s6/RL1R6g+syigTJwarOU0nXkOzz9S/FWoxjWytUeg8Xm/tJ4GxV3AWg0nsZYSulh4Bf07m9gvMZMREwmX5O+I/CqlNKSUnGzx75m90ON0CDx6ieldBvwB/rvX8ZrDKSU/p5Surroz2M/YCrwsaK42e+HfgcZI4PEq2r8+u+LYLxGXXHJzH8DJwLrRMRG0Xu79trrtfAzrCMMIV79+BnWGUbw27jjYtXpiaM55Ov76j0L+NsY10VDU7tMplEMF6eUPOW4feYAOxS3NS57FvAYvX3kzAHWAZ5RMR64L3aC8mVpxmsMRMQk4AJgL+DAlNLsulGaPfY1ux9qBJqIVyP1+5fxGmMppWXkbVvr06HZ74d+B2mDing1HL303HiNvh2BdcmXvj9QGiCfKfYAsAd+hnWKZuPViJ9hnWGov407Lladnjj6ObB3ROxYeyMipgEvLMrUYSJiL/JtWP9SvPVzYOuIeGlpnA2A12EM2+0iYBLw1tobETEROAT4TUppVfH2r8i9+r+jbvpDyXd3WDgGdVWFYl96Lb37GxivURcRE4DvAi8H3phS+nPFaM0e+5rdDzVMTcararrtyJeAlvcv49UGEbEluc+OBcVbzX4/9DtIG1TEq2qc+u+LYLzGwg3AyyoGyMmJl5F/kPoZ1hluoLl49eNnWGcYwW/jjotV9O8/tXNExHrAjcCj5GsCE3AKsD7wbP95aK+I+C6wELgOWEbuAOw4YAXw3JTSvcUX9j8A25I78n2gGOfZwHOK0yg1CiLioOLpfuTrnj9A7jBvaUrp8mKcH5Bv3/4RciyPJCci9i1OrazN6zPA0eQO3q4jH7TeB7w+pXTxWKzPeDdYvCLiWPIHz+/p7Ry79t5+KaUrS/MyXqMoIs4mx+hT5M7Ky5aklJYM5djX7H6o4WkyXmeQ/0y7irzfTSfHa0PgBeUOSY3X6IqIn5CPWzeROxfdGfgwsBXw/JTSvGa/H/odZPQ1Ga9Bvy8W8zJebRIRCfhUSumE4rWfYR2sIl5+hnWAVv827rhYpZQ6egC2Ay4kfxg9DPwUmNbuejkkyI38JnIP8o8DtwFfAZ5WN94mwDfI12KuAC4j7xhtX4fxPJC/SFcNPaVxJgOfJ982dyX5rigzK+a1FvnL+a3kOzfcBBzU7nUcT8Ng8SL/E/FH4N5if7uP/M/E843XmMdqUYN4nVwar6ljX7P7ocPoxQt4N/BX8he4x4tYfA+YbrzGPF4fBa4lf+leAcwl3y1oWt14TX0/9DtI++NFk98XjVdb45iAU4cTC4+J7Y+Xn2GdMTR7rOvWfaujzziSJEmSJElS+3R6H0eSJEmSJElqExNHkiRJkiRJqmTiSJIkSZIkSZVMHEmSJEmSJKmSiSNJkiRJkiRVMnEkSZIkSZKkSiaOJEnSiEXEVyMiRcQXBig/uSifOEb1mVksb+Ywpn1jRPxni+szo9gGm1SUpYg4uZXLG66iLrVh1ijMf5u6Zezf6mVIkqTWMnEkSZJGJCImAwcXL/91rJJDo+iNQEsTR8AM4CSgX+II2Af4WouXNxJfJ9fpF6Mw73uKeX9wFOYtSZJGgYkjSZI0Um8ENgAuAbYAXt3W2nSZlNKfU0pL2l2PkiVFnZa2esYppcdSSn8G/tbqeUuSpNFh4kiSJI3UO4EHgFnAo8XrgewaEb+PiBURcWdEfDIinvw+EhFTI+KLEbE4IlZFxD0RcWlE7FIaZ4OI+FJE3FGMMzciPhwR0aiSEbEoIs6teP/JS8WK8ncCW5cup1pUGnfziPhyRNxeLPuWiDhikOXOAr5ZvPxHab7T6pdfvK5d1rdLRPw6Ih4ptse7ivLDiuUuL7blMyqWeURE3BgRKyPi3oj4etVlcs2KiHMjYklE7BkRVxbx+0dEvL9uvK0i4lul2NwZERdHxBbDXbYkSWqvbj+VXJIktVFEPB3YH/hqSmlpRPwUeHNEbJxSeqBikp8C3wBOA14FnAg8AZxclH8BeD1wPPAPYFPghcBGxfImkC+hei7wcWA28Brg88DmxXQjcUoxn38p6gGwqlj2BsAfgMlFfRcW63B2RKyTUvriAPP8BXAqcALwVqB2dtGdg9TlR8BXgdOBDwDfiIhnAjOBjwGTgP8Bvge8oDZRRHwGOAb4X+AjwNbF8nePiH1TSmsGWe5ANiiWdSbwSeBd5HWfm1L6fTHOd4Dti+XeBmwJ7AdMGeYyJUlSm5k4kiRJI3EosBbw7eL1t4C3A4cAX64Y/6sppc8Uz39TJGOOiYgzU0rLyP3ffDel9PXSND8pPT8QeBHwrpTSuaX5rFfM5/MppXuHuzIppQURsRSoXVJV9iFyUmSPlNI/ivcujYiNgJMi4uyU0uqKeS6NiAXFyxtSSvObrM7nUkrfBoiIa4DXAe8DdkgpPVS8/zTgfyJi+5TSrcVZTB8BPpFS+mRtRhExj5z0eh05eTcc6wMfqCWJIuIKcuLs7UAtcbQPcHxK6bul6X40zOVJkqQO4KVqkiRpJN4J/COldFXx+lLgDga+XO38utc/AKYCuxev/wrMiojjI2KviFirbvyXkM9Q+l7d++cBa5MTF6Pl1cDVwMKImFgbgF+Tz4x6VouX98vak+LsrXuAP9eSRoVbisdti8dXkL/ffbeujlcDD5O333CtKJ1ZREppFTAP2K40zl+Bj0TEhyJij8EuH5QkSZ3PxJEkSRqWiNiLnCz5cURsVJx5sz7wY2DviNi5YrK7B3i9dfF4FHAO8G5yEuKeiPhCRNQuddoEuD+l9FjdfO4qlY+WLciJl8frhtoZNZu2eHn1l/o9NsB7AOuW6ggwn/71XH+Eday69HBVadmQzzT7OfBfwE3A7RHx8XI/VpIkqbt4qZokSRqu2llFHy2Gev9G7tenbEvgn3WvAW4HSCktB44DjouI7YGDgM+QEyQfBe4HNomIteuSR1sVj/c3qO9K8llJT4qIoSRS7iOf9fOhAcrnDmFeo+W+4vGVVCd67qt4r2VSSvcAHwQ+GBHTyW3kE8BS4OzRXLYkSRod/vsjSZKGLCLWJvdtczXwsorhBuCwikuVDq57/TZgObmT6z5SSremlM4oymqXsl1O/v7y1rrR30FOLl3FwG4tzafmNRXjrSJ3gF3vV8AuwOKU0jUVw8MNlr2qeKyabyv9lnwp33YD1HHhKC//SSmluSml48kJrPrtLkmSuoRnHEmSpOF4Dfmyp2NSSj31hRFxDvkMk5n0dpwM8N7isqW/kjtWPhw4OaX0YDHdVeRLnWaTE0ovBZ5D7nQbcr8/fwC+HBGbA3PIHWYfDpw2SMfYPyDfmewLwMXFfGdVjPc38llNRwLXACtTSrPJd3w7BLiymMdcYD1yMunFKaU3NFj234rHD0bEt8iXjt1UccndiBSde38W+FJxxs/l5DOttiX3f/S1cj9FrRQRG5L7uPouue+lx4E3ABsDvxmNZUqSpNFn4kiSJA3HO8mdLQ90x6zvA58vxisnKt4AfBE4EXiQfJv4U0rlV5DPSvoY+XvKP4EPp5T+FyCl9EREvAb4NPnStU2BRcB/km8T38i3yAmU95DvTnYl8CZyf0BlXwP2LpaxEflMpWkppQcjYl/g48WytwaWkRNIFzZacErpxog4GTgCeC/5rKkdirq3VErp+Ij4O8UlY0ACbgMuA/7RaNoRWglcR16/7clnPs0F3pFS+tkoLleSJI2iSCm1uw6SJEnqABGRyIm8TwJr0ih8USzu8vZS8tlJr0gpXdrqZUiSpNaxjyNJkiSVnUi+zOydg404VBGxTTFvk0WSJHUJL1WTJElSzb+Uno9GR9p31y2jE+5EJ0mSGvBSNUmSJEmSJFXyUjVJkiRJkiRVMnEkSZIkSZKkSiaOJEmSJEmSVMnEkSRJkiRJkiqZOJIkSZIkSVIlE0eSJEmSJEmq9P8BUgxiLkYSNNsAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 3.75), ('RE3', 3.75), ('FE2', 421.25), ('RE2', 425.0), ('FE2', 431.25), ('RE2', 435.0), ('RE2', 444.984375), ('FE2', 449.984375), ('FE3', 496.234375)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 5.0), ('RE2', 5.0), ('RE3', 11.25), ('FE3', 215.0), ('FE1', 317.5)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 20.0), ('RE3', 20.0), ('FE3', 166.25), ('FE1', 178.75)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 15.0), ('RE2', 15.0), ('FE1', 362.5), ('FE2', 382.5), ('RE2', 386.25), ('FE2', 392.5), ('RE2', 396.25), ('FE2', 401.234375)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 37.5), ('RE3', 37.5), ('FE2', 215.0), ('RE2', 218.75), ('FE2', 225.0), ('RE2', 228.75), ('FE2', 230.0), ('FE3', 253.75), ('RE3', 255.0), ('FE3', 262.5)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 37.5), ('RE3', 37.5), ('FE3', 185.0), ('RE3', 188.75), ('FE3', 195.0), ('FE1', 246.234375)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 25.0), ('RE3', 25.0), ('FE3', 51.25), ('RE3', 55.0), ('FE3', 66.25), ('FE2', 147.484375)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 27.5), ('RE1', 66.234375), ('FE1', 72.484375), ('FE2', 72.484375), ('RE1', 76.234375), ('RE2', 76.234375), ('FE1', 82.484375), ('FE2', 82.484375), ('RE1', 86.234375), ('RE2', 86.234375), ('FE1', 92.484375), ('FE2', 92.484375), ('RE2', 96.234375), ('RE1', 97.484375), ('FE1', 101.234375), ('FE2', 101.234375)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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tlBYRr2bVXed+kpp0OVg/DTo+5Eud/h34TUrpJ4Ooy+PkH0wWVs2bQx53qFm9fJqqGFvsAvIl8B9P9cfwGqjqWDd6f6rL6r0/A1acJ88o9nFUM7ctafVmIklSp6v+kjqmav6PgD1SP2+5nfKddCpfmH4bEadGxCsiYu2m1LbO3WkKD1Q9r76DzI6sGuOl0QfproFXKd+JKCI+FRE3RB5k+9mqAXqrP6T2GOy0Sn+PbYeq142+QDXry9U+KaXoZTqrslBEjIiI/4yIX0XE3GJA4lQVj38vFm0Ui1boLb6wKsab1Mx/WfHYsrZT5fMN4luZ7qtafrDv/x6sGgttIMdXuZxoBPCPmqT0yolV4+qsR77csxWWki9bredlrDrO6xpsozL47UuKy6Xq+Wsv8yu38X48pfSvPpbZuEEdVjvFuf8Ccjv5WLMSBZFv2HAl+dLJaeTBqYediHgReeycpxlkoiGl9J8pX/q5CXng9APJPUB/Tt+XbQ6VT5PHVrs6pdTKH3SGyvnkc9/Jqf5g35JUl4kkSR2t8gWVfL7aijwQ6iLynU76GtOnN0eQe51sBnwWuBl4KiL+XCRbar+s96e+T/Uyf3nVy+ovgZtVPa9OyNTqV8KsWjHmyT/It8h+TbHP51g1YPDDVYv32nNnAMdWPWB1o/rPb1DWVBExhvxl/RLgreRxZ0aw6pfy6gGUS/ViaqK68S1UYlybQKi0n5a0nUEa7Ps/2L+NrYrHETTuRTWuap3qZHUzPdZLbz7of5xG0jOhCPT+N8qq9jOQNtZqlTr1FftKee0xDHb9k8ljz/wypXRFH9sopTjn/oHchmcA+zV4b1ptwPGpGjtnNPmSx94G6+63lNJTKaUrgVcC84ADyJe1d4yIeDH5M8Ji+t/7uYzqNtHo/akua1o7Kgbe34+c5D6rWduVtGYwkSRpWEjZgymlc8m3M07A/0XE6/pYtd625pJ7AbwJ+Cb5bmkjyD0Y/g+YNZDtNkG9S1Ka4Qfk3jX3kS+F2jTlQaY3T3nA4Oq7rQ3o9t/DyGfI4+osBT5JHnB53ZTSpsUv5VuyqmfQcIpFq9pOpxjI8VUuU3u4RE+qej2qmqmVt3cf7ipJwo2LAa97UzlP1SYVH6gpL71+REwgX8r2NHB8RKxfO1Wtv3adeT0USaQ/ki+dnknuKflQH3VrpT7jUyTYx9YsD/kHm/8g//ByQZ3YVL9fo4v5jd7DHooeYD8oXn6owaJD4TvkHmVfBBbWOf6RxXJRNb8/idjqWDdqv5WyJ1O+i9ugRcRG5Et+nydf1jm6zvFV/geOrJrvd0dJgIkkScNQSqmLfCvrAL41kHFNUkrPp5R+l1L6REppT/Iv/O8jD/q5MfDjJl7u1siCqudb9bpU31+S6oqIbVk11s97U0qX1xmHqdG4SINRPSZOmQ/J7fCe4vHUlNJZKaW5dcaUaVU8WqHSfpredppgsO//YP82Kl/ex0VEu3uX9Ud1nBpdTlkpW07uQbe6qL5b1W69LrWqbFov629e3Eq+h+J/xM511t+GnAxYjzzm3lN1pooTKvOKca3q7aeSRNqKPHD6PimlBxscUztU4lMmttA9PjsUjy8FnqBnbK6pWvaaYt6UAdSx0hNvw4jYvOGS7VU5/jOo3zbeV5RvVzXvo/3Yfn/b/j/6se2+bEy+q+MI8mD89Y5vu2LZ91XNa/cYapI6lIkkScPVqeRf+V8MfGCwGyu62f8Y+O9i1hbku2W12r/Il+pBvgNObxqVNbJt1fPbe1lmvwFuuy+zWfWFd58Gy7Wz91clHnVjUQw8OqFttRm8yrg7kxss06islQb7/t/Oqp5Ikxus31vZTcXjWsD+DdYfarex6gYA+zZYrvJ3ekdK6bkGyw03fyb3EITcS7SHiNiefOt1yHemq3Zt1fO665N7m1YGKa5dvymKJFIXOYk0k3zHrEaXZLZLJT67RMR2vSxTidtS8vvRbjtWPW9Kj5thYib5xyvove2vR+4VBi1qu5I0ECaSJA1LKaV7gUuLl58t2528RC+jpVXPexvTpGmK3jCVuzF9JCJ6DHRbDHZ68AB38UTV85fW2fYGwEkD3HZDxbFVBif9SESMq12mGIPioFbsvxeVePSIReFL7apIk1TuePaaiHhVbWFErAMc194qZYN9/4uec38sXh5b7283Il7Dqi9Ztev/k1UDcX+xuJSjV4MZG20wikt7KndV+1RxmVE3EfFSVt3dcTB3zeo4KaWngcrYREf18j5V7qT2FPCLmvX/xarkx7G9/C/4dPE4h9z7orJuV1+XO1Zto3qw+UXVG69KIlVfztYJSSTIA1k/Re7B++nawqJ31UeKl1cU7wcAKaVT+ohNdYK4crODSTXbH0kDxZ1CP1i8/Gu9uxYOlZTS+D6O/4fFonPq3dihxPYTq+4a+Z7ih4xaHwXWJ/9wdsnAj6bHvu8r0fYrY2L9sGr+1GbVQdLwZiJJ0nB2BrnHwnhW9STqy94RcWdEfDIidqlc7x/Z3sA5xXLzgTubXeFenEFOYG0B/D4i9qiq0+vIXzIH+uH6Hlb94nlBRLy8UhARe5G//LTyLk2VSwLGAddGxJ7FviMi3gD8hoEf20BU7tB1UkS8q/IlJyJ2iIgfkxN2C3tdu/NcSr4UJYArI+LtlUs9I2IicDVDe6neYN//z5H/xncDflUkVYmIkRHxLnICotH79TFyD4edgJuL+KxbKYyIrSPi0Ii4HvjyQA+yCU4iD/I+AfhdROxe1G9ERBxAvmxoJHAvcO6Q1bKBiBhXPVUVrV9TVm9Q4ZPJ4xS9gHz3rsr7vF5EnMyqRMdpKaV67/fx5C/aLwV+GhFbF+tvEhFns6pH2v9LKTV1vKrI4yxVxkSawQB6IkXEOjWxW7+qbFzN1K/P7kW8TitefiQiTq5c6lkkwK4q6v40+X1otj8X+3xpdZIvIsZGxPvIl8JtTv47r7v/iNioJj6V7axTE5u6yeKI2Lhm/UoMx9Ss3/S7xkXEKbHqrqDj6yzyVfJluGOAX1f+R0fE2hFxFPCFYrnzUkoz62x/RM2xVf8/36jm+NZp6sFJWrOllJycnJw6aiLfuSVR/GDXx7K/KJadB6xTNX9yvW1Uzy+mZ4FHyV/iKvOeAP6jZr3xVeXje9tmH3WtrD+5TtlBNXV4kvzBPpGTWocVz58ZQDzfUrPtp6u2vZh8OU3dujXp2N5MvsVz9bEtKZ4/QP41utT7XWfbkxvtu87y25M/tFfWeY58aWHl9Qnk5FoCTqmz/n1F2WFNLOuz/n3UaWfgwartPFN1TM8U73+l7JUDiHFl3cVF7BpNVzb7/ScPBFv9N7uwant3VZVP72X9V9XEZzn5b35JzXbPH0Bsen1fivLDivL7SmzrEGBZVX2eICeYK6/nArs0+htosO0+68Gq825Xf+NQ0076mnqL1QGsOi+log0vr3p9ARAN9n8E3c9zC8m9Shvutx/H1Vu9L6h5zxr+jfTx/pSZxg/gGKKmnsvpft57GjhgANudXLWNyb0sc1/Nfh+r2XciJ5sPLfF31tdUt+3W1KHRdGE/j/9Cyv9d9freAS8nn5Oqz5HPVr3+HVWfb2rWHd+PtnNYP4+vErd+xcXJyWnNmOyRJGm4+2LxuA3w4RLL/43c6+Qc8t3aHgU2JH8xnUq+a9suKaU/Nb2mDaSULgf2BH5GHmR4HfKt6L8B7MGqS7IWDWDbVwOvAX5drD+SfNw/AF6eUrp+cLXvc/+/Jt8l76fkgYXXJh/bt8nHNruV+6+pyxxynL/PqjvmPEPuufPGlNIZ7apLs6SUppMHQP0m+YN/kI/pMvKttW+qWnzRIHa1HrnXXKOpx+Vhg33/U75UZDK5V85CYF3ycZ5GPr7K5UeLeln/JnKPpOPIlzUtIt+hagW5x97F5MFkj2lUj1ZLKV0K7ErucXQv+RywnHxe+hywW0rpniGrYIullK4ht+Pzye/vuuT3+1rgoJTS4Sml1GD97wGvAH5MHrx5DLm9/QLYN6V0SouqXv1ZekP6/htpu5QdTv7B4lpW/R3NIcf7pUX8W+ED5P/TN5J/FFmXfLe3R4AbyHfS3CmldFGL9t/xUkp/J//tf508SPsocnLvz+Q72e2fUlo2dDWUpJ6iwf9kSVKHiIgvAicCf0gpNRqQV+omIl5PHqT1GWDDtHoN1ExEXAL8J3BBSqnsJa6SJEkaIHskSVKHi3xL6yOKl79ttKxULSKCVQMV/2E1TCLtBLyreOnfhiRJUhuYSJKkDhARH4+IT0fEhKoBoNcpBtq9kTwY6QLyOBfSShGxT0ScFRF7RsToYl4Ug7ZexaoxsP5vKOs5UBFxakT8T0RsF6sGx18vIg4hD3K8LjCdmrt5SZIkqTW8tE2SOkBEnAV8oni5gjwm0obk8YwoXr8jpdTV9sqpo0XEO8i3+K5YSB6DpHJ3sgQcl1L6Wpur1hQR8Qvg7cXL58gD845l1Y9h9wNvSind3fbKSZIkrYFMJElSB4iIPYD3kwfF3hrYlHwHp9nkO7Z8I6V0/9DVUJ0qIrYkX/q4L7AjsBl5AOoHgD8B304p3Tp0NRyciHgt+Y5me5NvU74JeSDameRB0r+dUnp86GooSZK0ZjGRJEmSJEmSpFJG9r1I5xg7dmyaMGHCUFdjjfL000+z3nrrDXU11hjGu72Md3sZ7/Yy3u1lvNvLeLeX8W4v491exru9jHd79Sfef//73x9NKW1WZtlhlUjaYostuPXWYds7f1jq6upi8uTJQ12NNYbxbi/j3V7Gu72Md3sZ7/Yy3u1lvNvLeLeX8W4v491e/Yl3RMwpu13v2iZJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSplLYnkiLijRHxh4h4KCKWRcT8iLgsIl7c7rpIkiRJkiSpvJFDsM9NgL8DZwMLgO2ATwM3R8TuKaU5Q1AnSZIkSZIk9aHtiaSU0k+An1TPi4i/AtOBg4Az210nSZIkSZIk9a1Txkh6rHhcPqS1kCRJkiRJUq+GLJEUEWtFxNoR8SLgXOAhanoqSZIkSZIkqXMMxRhJFbcALy+ezwJel1J6pNEKY+bNg8mTu888+GA4+mhYsgQOOKDnSocdlqdHH4WDDupZftRRcMghMG8eHHpoz/Jjj4W3vhVmzIAPf7hn+UknwX77wdSpcMwxPctPPx323hv+8hc48cSe5WedBZMmwXXXwWmn9Sw/91yYOBGuugrOrHPV30UXwbbbwqWXwjnn9Cy//HIYNw4uvDBPta65BsaMgbPPhssu61l+yin58atfhauv7l42ejT85jf5+Re+ANdf3718003hiivy8xNOgClTupdvsw1cfHF+fswxOYbVdtoJzjsvPz/ySJg5s3v5pEk5fgDvfz/Mn9+9fK+94Iwz8vMDD4THHutevu++8NnP5uf77w9Ll3Yvf8tb4Ljj8vPadgctaXuTFi2CsWNz+Zre9rq68qNtjx6G6XlvZfu27eXnLW57u558Moyo+b1oDW17K7Ww7U1atChv17bXlvNet/+XsEa3PaD1573jj8/PbXs9y1vQ9rq17zW97XneW+3+565s37a9/LzVba9FhjKRdCiwIbAjcBxwbUS8OqV0X/VCEXEkcCTAbqNGsWjRom4beWTmTB7o6mLEM8/wkpoygIemT+ehri5GPfEEu9Ypv3/aNBZ0dbHOI4+wS53yeXfdxWMbbMDouXOZWKd8zh13sHDkSNafNYsJdcr/ddttPPnss2x4993sWKd81q23snjRIja+4w62r1M+45ZbWPrgg2x6111sW6f8nilTWHbvvWw2bRpb1ymfdtNNPLfRRmw5fTpb1im/88YbeX7dddlq5kw2r1O+ePFiurq62Pbee9m0pnzF0qXcVfwBbj97NhvXlD/3/PNMK8p3mDuXjWrKl40axT1F+YT581m/pnzJAw8wsyjf6YEHGFNTvnj+fGYV5bs8/DDr1JQ/MXcus4vyXRcsYNSTT3YrXzh7NnOK8t0ff5y1li3rVv7YvfcyryifVCc2rWh7K1asWNnG1/S2N7WIfSvb3uLFi5lv2+tR3qq2V2nftr1c3urz3sTly1m0ZEm38jW17VW0su2tWLGCm2x7QHvOe9X/L2HNbnvQ+vNe5fOgba9neSvaXnX7XtPbXjvOe4sXL+YB216P8la1vUr7tu3l8laf9yrn72aLlFLTN9rvSkSMBe4DfppS+khvy02cODHNmDGjXdUS0NXVxeR6GXK1hPFuL+PdXsa7vYx3exnv9jLe7WW828t4t5fxbi/j3V79iXdE/D2ltGeZZTtisO2U0iLy5W0ThrgqkiRJkiRJ6kVHJJIiYgtgZ+Deoa6LJEmSJEmS6mv7GEkR8XPgNuBO4ElgJ+CTwHKgzihbkiRJkiRJ6gRDMdj2zcDBwLHA2sA8oAs4o3agbUmSJEmSJHWOtieSUkpfBr7c7v1KkiRJkiRpcDpijCRJkiRJkiR1PhNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSplJGNCiPign5sK6WU/nuQ9ZEkSZIkSVKHaphIAl4HpJLbKrucJEmSJEmShqGGiaSU0vg21UOSJEmSJEkdzjGSJEmSJEmSVEq/EkkRsV5EfDwiLo+IP0bEi4r574mInVtTRUmSJEmSJHWCvsZIWikitgW6gG2A6cBuwAZF8T7AfsARTa6fJEmSJEmSOkR/eiSdCSwDdgJeDkRV2Q3AfzSxXpIkSZIkSeowpXskAa8HjkwpzYmItWrK7ge2bl61JEmSJEmS1Gn60yNpbeCpXso2ApYPvjqSJEmSJEnqVP3pkXQncCDw2zpl+wN/b0qNJAl4+mk49ND8/OijW7OPO+7YmOWmwNvGeLeX8W4v491erYr32WfDRhvBD37Q/G33xx57wIIFMGHC0NajYtGiSYwd2/ztzpoFm20Gt9/e/G33h/Fur+Ea706Jn9QJ+pNI+gpweUQA/LiY9+KIeDvw38Dbmlw3SWuw+fPh5z/PzyuPzffSVm1YdRnv9jLe7WW826t18d5++5ZturQFC2Dx4qGuRet1yjEa7/YarvEejnWWWqV0IimldGVEHA18CTi8mP0j8uVu/5NSqtdTSZIGZNttYdKk/Pxb32rNPm6//Xb22GOP1mxcPRjv9jLe7WW826tV8f7Yx2CddZq+2X6r9NTo6hrSaqzU1TWVyZMnN327LdjkgBjv9hqu8e6U+EmdoD89kkgpfTciLgL2AjYHHgP+klLqbewkSRqQMWPy5QUAr351a/axfPkTLdu2ejLe7WW828t4t1er4l35vyNJknrXr0QSQErpaeC6FtRFkiRJkiRJHaxfiaSIGAH8O7AdsG5teUrpR02qlyRJkiRJkjpM6URSRLwY+AXwQiDqLJLIYyZJkiRJkiRpNdSfHklnF8sfDNwFLGtJjSRJkiRJktSR+pNIehlwWErpylZVRpIkSZIkSZ1rRD+WfRR4tlUVkSRJkiRJUmfrTyLp68BHI2KtVlVGkiRJkiRJnas/l7ZtBkwE/hER1wKP15SnlNLnmlYzSZIkSZIkdZT+JJJOqnr+ojrlCTCRJEmSJEmStJoqnUhKKfXnMjhJkiRJkiStZkwOSZIkSZIkqZT+XNq2UkRsDqxbOz+lNHfQNZIkSZIkSVJHKp1IiogNgW8AhwDr9LKYd3STJEmSJElaTfWnR9J3gAOB7wN3ActaUiNJkiRJkiR1pP4kkt4EfCql9J1WVUaSJEmSJEmdq7+Dbc9oSS0kSZIkSZLU8fqTSPop8NZWVUSSJEmSJEmdrT+Xtv0eOCsiNgCuAR6vXSCl9IdmVUySJEmSJEmdpT+JpF8WjzsAh1XNT0AUj961TZIkSZIkaTXVn0TSPi2rhSRJkiRJkjpe6URSSumGVlZEkiRJkiRJna2/d22TJEmSJEnSGqo/l7YREbsCRwATgXVrilNKad9mVUySJEmSJEmdpXQiKSJeAdwA3Ae8CLgT2BjYDpgPzGpB/SRJkiRJktQh+nNp2+nAlcCu5Lu0/XdKaTywH/lubac1vXaSJEmSJEnqGP1JJL0EuBhIxeu1AFJKfyAnkc5obtUkSZIkSZLUSfqTSFobeDql9DzwOPCCqrIZwG7NrJgkSZIkSZI6S38SSbOArYvndwKHR8SIiBgBfBB4qNmVkyRJkiRJUufoz13brgImAz8mj5f0a+BJYAWwPvDxZldOkiRJkiRJnaN0IimldErV8+si4pXAgcAY4Lcppd83v3qSJEmSJEnqFP3pkdRNSul24PYm1kWSJEmSJEkdrD9jJA1aRBwUEVdExJyIWBoRMyLijIjYoJ31kCRJkiRJUv+VTiRFxNoR8bmImB4RSyJiRc20vMRmjiOPqXQi8CbgHOAo4Npi0G5JkiRJkiR1qP5c2vYV4KPAb4ArgWUD2N9bU0oLql7fEBGPAz8kD+T9hwFsU5IkSZIkSW3Qn0TSQcDnUkpfHOjOapJIFX8rHrce6HYlSZIkSZLUev1JJK0PTGlBHV5bPN7T14Jj5s2DyZO7zzz4YDj6aFiyBA44oOdKhx2Wp0cfhYMO6ll+1FFwyCEwbx4cemjP8mOPhbe+FWbMgA9/uGf5SSfBfvvB1KlwzDE9y08/HfbeG/7yFzjxxJ7lZ50FkybBddfBaaf1LD/3XJg4Ea66Cs48s2f5RRfBttvCpZfCOef0LL/8chg3Di68ME+1rrkGxoyBs8+Gyy7rWX7KKfnxq1+Fq6/uXjZ6NPzmN/n5F74A11/fvXzTTeGKK/LzE06AKTXNZ5tt4OKL8/NjjskxrLbTTnDeefn5kUfCzJndyydNyvEDeP/7Yf787uV77QVnnJGfH3ggPPZY9/J994XPfjY/339/WLq0e/lb3gLHHZef17Y7aEnbm7RoEYwdm8vX9LbX1ZUf582DyTV/m7a9YXneW9m+h0vbG+bnvV1PPhlG1Fw1voa2vZVa2PYmLVqUt2vba8t5r9v/S2he21uyJB/75GO6l7e77U09K8+v1GOoz3vHH5+fN7vtTT0LxowGJubXQ9X26KzzXrf23cy2N3VccZxV2xmK/7nV7Xs4nfemVtrJMfnRz3sDOu+tbN9+3svPW33ea5H+JJKuAl5DEy8/i4itgVOB61JKt/ayzJHAkQC7jRrFokWLupU/MnMmD3R1MeKZZ3hJTRnAQ9On81BXF6OeeIJd65TfP20aC7q6WOeRR9ilTvm8u+7isQ02YPTcuUysUz7njjtYOHIk68+axYQ65f+67TaefPZZNrz7bnasUz7r1ltZvGgRG99xB9vXKZ9xyy0sffBBNr3rLratU37PlCksu/deNps2ja3rlE+76Sae22gjtpw+nS3rlN954408v+66bDVzJpvXKV+8eDFdXV1se++9bFpTvmLpUu4q/gC3nz2bjWvKn3v+eaYV5TvMnctGNeXLRo3inqJ8wvz5rF9TvuSBB5hZlO/0wAOMqSlfPH8+s4ryXR5+mHVqyp+YO5fZRfmuCxYw6sknu5UvnD2bOUX57o8/zlrLul+t+di99zKvKJ9UJzataHsrVqxY2cbX9LY3tauLceMmsMHj/+zxd9+strd48WLm2/Z6lLeq7VXa93Boe8CwP+9NXL6cRUuWdCtfU9teRSvb3ooVK7jJtge057xX/f8Smtf2ttx4czYeNa3H/512t71dRk0DWFmPoT7vVT4PNrvt7TJqGs+tsz5dXQ8CQ9f2xo3LX9IWzeq+bRia8151+25m29tl1Jb5OKuWG4r/udXtuxPOe4sXL+aBEm2v9u/Sz3sDO+9V2ref93J5q897lfN3s0VKqffCiB2rXm4G/Ai4BLgGeLx2+ZTSv0rvOGJ9oAvYCvj3lNL8xmvAxIkT04wZM8ruQk3Q1dXF5HoZcrWE8W4v491exru9jHd7Ge/2Mt7tZbzby3i3l/FuL+PdXv2Jd0T8PaW0Z5ll++qRNAuozjQFcArwudp9FsutVbKCo8k9nHYEXlsmiSRJkiRJkqSh1Vci6XC6J5IGLSJGAZcDewKvTynd1cztS5IkSZIkqTX6SiT9CHgzMDuldHe9BSJid2B8SumqvnYWESPIl8a9DnhLSunmftZXkiRJkiRJQ2REH+XvB34CPN1gmaeAH0fEe0vs7zvAu4Ezgacj4pVV0zalaixJkiRJkqQhUSaR9IOU0uzeFkgp3QdcAHygxP72Lx4/A0ypmY4osb4kSZIkSZKGSF+Xtr0M+FaJ7VwHvK+vhVJK40tsS5IkSZIkSR2orx5JGwALS2xnYbGsJEmSJEmSVlN9JZIeBbYvsZ3timUlSZIkSZK0muorkfRnyo19dFixrCRJkiRJklZTfSWSzgL2jYivR8TatYURMSoizgJeB3y9+dWTJEmSJElSp2g42HZKaUpEHAucCbwvIn4PzCmKtwdeD2wKHJtSurmlNZUkSZIkSdKQ6uuubaSUzoqI24DjgXcCo4uipUAX8KWU0p9aVkNJkiRJkiR1hD4TSQAppRuBGyNiBDCumP1YSmlFy2omSZIkSZKkjlIqkVSRUnoeeKRFdZEkSZIkSVIH62uwbUmSJEmSJAkwkSRJkiRJkqSSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSRg51BSRJktTZ9tgDFiyACROGuibZokWTGDu2+dudNQs22wxuv7352+4P491exruztfr9KRvv4Ro/qRVMJEmSJKmhBQtg8eKhrkXrdcoxGu/2Mt6drVPen06og9QpTCRJkiSpoUpPgK6uIa3GSl1dU5k8eXLTt9uCTQ6I8W4v493ZWv3+lI33cI2f1AqOkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKsVEkiRJkiRJkkoxkSRJkiRJkqRSTCRJkiRJkiSpFBNJkiRJkiRJKqXtiaSI2CYivhURUyJiSUSkiBjf7npIkiRJkiSpf4aiR9IE4GBgIfCnIdi/JEmSJEmSBmAoEkk3ppS2SCkdAPxsCPYvSZIkSZKkAWh7Iiml9Hy79ylJkiRJkqTBc7BtSZIkSZIklTJyqCvQH2PmzYPJk7vPPPhgOPpoWLIEDjig50qHHZanRx+Fgw7qWX7UUXDIITBvHhx6aM/yY4+Ft74VZsyAD3+4Z/lJJ8F++8HUqXDMMT3LTz8d9t4b/vIXOPHEnuVnnQWTJsF118Fpp/UsP/dcmDgRrroKzjyzZ/lFF8G228Kll8I55/Qsv/xyGDcOLrwwT7WuuQbGjIGzz4bLLutZfsop+fGrX4Wrr+5eNno0/OY3+fkXvgDXX9+9fNNN4Yor8vMTToApU7qXb7MNXHxxfn7MMTmG1XbaCc47Lz8/8kiYObN7+aRJOX4A738/zJ/fvXyvveCMM/LzAw+Exx7rXr7vvvDZz+bn++8PS5d2L3/LW+C44/Lz2nYHLWl7kxYtgrFjc/ma3va6uvKjbY8ehul5b2X7tu3l5y1ue7uefDKMqPm9aA1teyu1sO1NWrQob3d1bXuzvgcTJuTnHXDe6/b/EprX9pYsycc++Zju5e1ue1PPyvMr9Rjq897xx+fnzW57U8+CMaOBifn1UP3PpbPOe93adzPb3tRxxXFWbWe4/M+dcx9MPqx7ebv/506ttJNj8qOf9wZ03lvZvodL2+vwz3t9tr0W6fhEUkQcCRwJsNuoUSxatKhb+SMzZ/JAVxcjnnmGl9SUATw0fToPdXUx6okn2LVO+f3TprGgq4t1HnmEXeqUz7vrLh7bYANGz53LxDrlc+64g4UjR7L+rFlMqFP+r9tu48lnn2XDu+9mxzrls269lcWLFrHxHXewfZ3yGbfcwtIHH2TTu+5i2zrl90yZwrJ772WzadPYuk75tJtu4rmNNmLL6dPZsk75nTfeyPPrrstWM2eyeZ3yxYsX09XVxbb33sumNeUrli7lruIPcPvZs9m4pvy5559nWlG+w9y5bFRTvmzUKO4pyifMn8/6NeVLHniAmUX5Tg88wJia8sXz5zOrKN/l4YdZp6b8iblzmV2U77pgAaOefLJb+cLZs5lTlO/++OOstWxZt/LH7r2XeUX5pDqxaUXbW7Fixco2vqa3valF7FvZ9hYvXsx8216P8la1vUr7tu3l8laf9yYuX86iJUu6la+pba+ilW1vxYoV3LQat70Jo6ezaNy6dHXN6ojzXvX/S2he29ty483ZeNS0Hp832932dhk1DWBlPYb6vFf5PNjstrfLqGk8t876dHU9CAzd/9xx4/KXtEWzum8bhua8V92+m9n2dhm1ZT7OquWGw//cceMmsMGCf/b4u2zWeW/x4sU8UKLt1f5d+nlvYOe9SvseDm0POv/zXl9tr3L+brZIKTV9o6V3HnEEcD6wQ0rpvr6WnzhxYpoxY0bL66VVurq6mFwvQ66WMN7tZbzby3i3l/FuL+PdXsa7vYx3exnv9jLe7WW826s/8Y6Iv6eU9iyzrGMkSZIkSZIkqRQTSZIkSZIkSSplSMZIiojKaGAvLx73j4gFwIKU0g1DUSdJkiRJkiQ1NlSDbf+s5vXZxeMNwOT2VkWSJEmSJEllDEkiKaUUQ7FfSZIkSZIkDZxjJEmSJEmSJKkUE0mSJEmSJEkqxUSSJEmSJEmSSjGRJEmSJEmSpFJMJEmSJEmSJKkUE0mSJEmSJEkqxUSSJEmSJEmSSjGRJEmSJEmSpFJMJEmSJEmSJKkUE0mSJEmSJEkqxUSSJEmSJEmSSjGRJEmSJEmSpFJMJEmSJEmSJKkUE0mSJEmSJEkqxUSSJEmSJEmSSjGRJEmSJEmSpFJMJEmSJEmSJKkUE0mSJEmSJEkqxUSSJEmSJEmSSjGRJEmSJEmSpFJMJEmSJEmSJKkUE0mSJEmSJEkqxUSSJEmSJEmSSjGRJEmSJEmSpFJMJEmSJEmSJKkUE0mSJEmSJEkqxUSSJEmSJEmSSjGRJEmSJEmSpFJMJEmSJEmSJKkUE0mSJEmSJEkqxUSSJEmSJEmSSjGRJEmSJEmSpFIipTTUdSgtIp4CZgx1PdYw44BHh7oSaxDj3V7Gu72Md3sZ7/Yy3u1lvNvLeLeX8W4v491exru9+hPv7VNKm5VZcOTA6zMkZqSU9hzqSqxJIuJWY94+xru9jHd7Ge/2Mt7tZbzby3i3l/FuL+PdXsa7vYx3e7Uq3l7aJkmSJEmSpFJMJEmSJEmSJKmU4ZZIOm+oK7AGMubtZbzby3i3l/FuL+PdXsa7vYx3exnv9jLe7WW828t4t1dL4j2sBtuWJEmSJEnS0BluPZIkSZIkSZI0RDo+kRQR20bE5RHxREQ8GRFXRsR2Q12v1UFEbBMR34qIKRGxJCJSRIyvs9y6EfGViHgwIpYWy79mCKo8rEXEQRFxRUTMKeI4IyLOiIgNapbbOCK+FxGPRsTTEXFdROw+VPUeriLijRHxh4h4KCKWRcT8iLgsIl5cs5znmBaIiN8W55TTaubbvpsgIiYX8a2dFtUsZ7ybKCIOiIgbI2Jxcb64NSJeV1VuvJsgIrp6ad8pIn5btZzxbpKIeFVE/D4iHomIpyLitog4vGYZPw82SUTsExF/LuL4eERcFBFb1FnONt4Pzf5uExEjIuKEiLgvIp6JiDsi4sC2HMww0I94n16cXx4rljmswTY/FBHTi8/uMyLiI608huGmTMwjYs+IOK+I45KImBsRl0TEDnW2N+A23tGJpIgYA/wB2Bn4AHAo8CLgjxGx3lDWbTUxATgYWAj8qcFy3wc+BJwMvAV4EPhdRExqdQVXM8cBK4ATgTcB5wBHAddGxAiAiAjgqqL8Y8CBwChym99mKCo9jG0C/B34H+ANwAnArsDNEbE9eI5plYh4L/DSOvNt3833cWCvqmm/SoHxbq6I+DDwS/J55Z3Au4GfAWOKcuPdPEfTvV3vBfxvUfYrMN7NFBEvAa4jx+9DwLuAvwHfj4ijqhb182ATRMR/AL8HFpHb7SeA1wDXR8Q6VcvZxvuv2d9tvgCcAnwb2B+4GfhZRBzQ1FoPX2Xj/TFgNHB1o41FxIeAc4EryO3+Z8DZNeehNV2ZmL+H/J3nm+R2+2ngZcCtEbFtzbIDb+MppY6dyCfWFcCEqnk7AMuB/x3q+g33CRhR9fwIIAHja5Z5aTH/g1XzRgIzgF8N9TEMpwnYrM68/yri+7ri9duL1/tULbMR8DjwzaE+huE+AROL+B5bvPYc0/wYbww8BLy3iPVpVWW27+bFeXIRy/0aLGO8mxfv8cBS4BjjPWTvwfeBZcAmxrvpsT0deBZYv2b+FGBK8dzPg82L93XALGBk1bw9i/geXTXPNt7/2Dbtuw2weXHO+XzN+tcDdw71sXbCVCbe1cuRkyAJOKzOMiOBR4Af1sy/AHgUGDXUx9sJU8k2Xu875/bA88CpVfMG1cY7ukcS8Dbg5pTSrMqMlNJs4CbyyVWDkFJ6vsRibwOeAy6tWm858FPgjdW/nKixlNKCOrP/VjxuXTy+DXggpfTHqvWeIP8iZZsfvMeKx+XFo+eY5vsycHdK6Sd1ymzf7WW8m+dw8gew7zZYxni3SNF79N3AVSmlx4vZxrt51iZ/1ltaM/8JVl294OfB5nklcG0RPwBSSreSP6O8s2o523g/Nfm7zRvJfxsX16x/MbB7vcuE1jQl4112ub2AzegZ74uATYFX9692q6cysaz3nTOlNAdYwKrvnDDINt7piaRdgbvrzJ8GvLjOfDXfrsDslNKSmvnTyA1vQvurtFp5bfF4T/HYqM1vFxHrt6VWq5GIWCsi1o6IF5G7yz4EVJIcnmOaKCJeTe5l99FeFrF9N98lEbGiGHfgx9F9fC/j3TyvBqYD74mIeyNieUTMiojqtm68W+edwAbAD6vmGe/mubB4/GZEbBURY4tLTPYFvl6U+XmweVaQe4DVWgbsVvXaNt4aZdvyruT3ZFad5cDPic22a/FY2+aNdxNExC7kHkj3VM0eVBvv9ETSJuTr/2o9Tr58Qq3X6D2olGsAImJr4FTguuKXKOg73rb7/ruFfJKcCbyEfBnhI0WZ55gmiYi1yYm6r6aUZvSymO27eZ4AziR3a34d+Rr3/YApEbF5sYzxbp6tyOOnfQX4EnnctWuBb0fEJ4pljHfr/Bf5koffVM0z3k2SUrqbfLns24H7yXH9DvCRlNJPi8X8PNg8M8i9klYqxm58Ad3jaBtvjbJteRNgUSqu9WmwnJqjEs/a98Z4D1JEjCT3qF5Avky8YlBtfGTTaiiptOJXpF+SL7H64BBXZ3V3KLAhsCN5wPNrI+LVKaX7hrRWq5//Rx5I8YtDXZE1QUrpduD2qlk3RMSNwF/JA3CfNCQVW32NIPeIOSyldGUx7w/FnVJOiIhvDlnNVnMRsRU5SfqN6kuB1DxFj90ryL9Cf4R8idvbge9GxDMppUuGsn6roW8AF0e+q+k3yV/WziNfPlvqUiFJ6odvA3sDb04p1UuiDkin90haSP1se2+ZZDVfo/cAVmUsVVJEjCZf374j8MaU0vyq4r7ibbvvp5TSPSmlW4oxe/YF1iffvQA8xzRFcTnVZ4DPAusUl0WMLYorr9fC9t1SKaXbyD3v/q2YZbybpzK+2rU1838PbEHuSWC8W+P95M+rP6yZb7yb53TymDFvSSldnVK6PqX0ceAy4BvFnWX9PNgkRWLuNOBY4GHgH+SeYNeQ7x5WYRtvjbJteSEwtrh7XqPl1ByV9lz73hjvQYiILwFHAoenlH5fUzyoNt7piaRprLpestqLySddtd40YIdioMtqLyZf3117TaUaiIhRwOXku3MckFK6q2aRRm1+bkppcYuruFpLKS0it9nK9e+eY5pjR2Bd8uB8C6smyL3AFgK7Y/tul0oXZePdPNP6KH8e490qHwDuSCndUTPfeDfP7uQYP1cz/6/kQW43x8+DTZVS+iwwjnzJ/QtSSu8lXz7756rFbOOtUbYtTwPWAV5YZznwc2KzVf7P1rZ54z1AEfEZ4Hjg4ymli+osMqg23umJpF8Br4yIHSszim7kryrK1HpXAaPId0sBVl5neQjw+5TSsqGq2HBT/KJ3CXk8k3eklG6us9ivgK0j4rVV620IvBXb/KBFxBbAzsC9xSzPMc0xFdinzgQ5ubQP+YOZ7buFImJPYCL5yx8Y72b6efH4xpr5bwLmp5Qewng3XdGmX0zP3khgvJvpIWBSMdZdtVcAz5B/lfbzYJOllJ5OKd2VUno4It5E/nxSfWdI23hrlG3LvyX31HtfzfrvJ9+ddnYb6rommQI8Sv14P06+o7JKioiPk3s+fial9O1eFhtUG+/0MZLOB/4H+GVEnET+lfULwDzyoK4apIg4qHj68uJx/4hYACxIKd2QUro9Ii4Fzip608wGjgJ2oGejU2PfIf/T+iLwdERUD7Q4v7jE7VfkE+nFEfEpck+OE4AA/q/N9R3WIuLnwG3AncCTwE7AJ8njUp1ZLOY5pgmKnl5dtfOLnrJzUkpdxWvbd5NExCXk8/FtwCJgD3Is7yePuQGeT5rpGuCPwLkRMQ74F/l8/gZWjXNnvJvvv8jn7Hpj9Bjv5vk28DPgqog4mzxG0tuA9wJfTyk9C/h5sEkiYg9gf/L5G/JdIT8F/F9K6S9Vi9rGB6BZ321SSo9ExNfI4+A9RX6/DiH/IPy2Nh1Ox+sr3sUyrwU2A7YsltkzIhYDpJQuLx6fi4jPAmdHxP3AdeRYHw58rDgPib5jHhHvAc4iJ4r+UPOd88mU0j+gCW08pdTRE7AdeQDAJ4GngF8A44e6XqvLRP7iXG/qqlpmNPA18i9Wz5DvgjV5qOs+3CbgvgbxPqVquU2AC8jZ9yXA9cBLh7r+w20id+X8O/lL9hLyXVLOrT1/eI5p6XuQgNNq5tm+mxPbE8hJ0ifIvybNIw/W+gLj3bKYb0j+QeBh8uUPdwL/abxbFu9R5DvMXNVgGePdvHjvT/5BYEHxv3AqcDSwVtUyfh5sTqx3JV/CtoictLsN+GAvy9rG+x/fpn23AdYi37xiDvkOwHcCBw31MXbSVDLeXb0tV2d7HyaP97gM+Cdw9FAfY6dNfcUcuLDM+1IsO+A2HsUGJEmSJEmSpIY6fYwkSZIkSZIkdQgTSZIkSZIkSSrFRJIkSZIkSZJKMZEkSZIkSZKkUkwkSZIkSZIkqRQTSZIkSZIkSSrFRJIkSRq0iDg/IlJEfL2X8lOK8pFtqs/kYn+TB7DuOyLif5tcn0lFDDapU5Yi4pRm7m+girpUpsNasP1tavaxX7P3IUmSWstEkiRJGpSIGA0cXLz8z3Yli1roHUBTE0nAJOBzQI9EErAX8L0m728wvk+u069bsO1Him1/tAXbliRJbWAiSZIkDdY7gA2Ba4DNgTcNaW2GmZTSzSml+UNdjyrzizotaPaGU0rPppRuBv7R7G1LkqT2MJEkSZIG6wPAQuAwYGnxuje7RMQfI2JJRDwYEadGxMrPIxGxfkR8KyLmRsSyiHgkIq6LiJ2rltkwIr4dEQ8Uy8yIiE9GRDSqZETcFxEX1pm/8tKyovwDwNZVl1/dV7XsZhHx3Yi4v9j39Ig4so/9Hgb8oHj5z6rtjq/df/G6chngzhHxu4h4uojHB4vyQ4v9Li5i+cI6+zwyIu6IiGci4tGI+H69y+rKiogLI2J+ROwREX8q3r9/RsRHapbbMiJ+WPXePBgRV0fE5gPdtyRJ6izDveu5JEkaQhGxFbAfcH5KaUFE/AJ4V0RsnFJaWGeVXwAXAGcAbwQ+CzwPnFKUfx14G3Ai8E9gU+BVwNhifyPIl1y9DDgZuAt4M/A1YLNivcH4QrGdfyvqAbCs2PeGwJ+B0UV9ZxfHcE5ErJNS+lYv2/w1cBpwEvBuoNL76ME+6vIz4Hzgq8DRwAUR8SJgMvBpYBTwDeDHwCsqK0XEl4BjgW8CnwK2Lva/W0TsnVJa0cd+e7Nhsa+zgFOBD5KPfUZK6Y/FMhcB2xf7nQdsAewLjBngPiVJUocxkSRJkgbj/cBawI+K1z8E3gscAny3zvLnp5S+VDz/fZGcOTYizkopLSKPn3NJSun7Vev8vOr5AcCrgQ+mlC6s2s56xXa+llJ6dKAHk1K6NyIWAJVLsKp9gpwk2T2l9M9i3nURMRb4XESck1JaXmebCyLi3uLl1JTSrJLV+UpK6UcAEXEr8Fbgw8AOKaUni/kvAL4REdunlOYUvZw+BXw+pXRqZUMRMZOcBHsrOZk3EBsAR1eSRhFxIzmR9l6gkkjaCzgxpXRJ1Xo/G+D+JElSB/LSNkmSNBgfAP6ZUppSvL4OeIDeL2+7rOb1T4H1gd2K138DDouIEyNiz4hYq2b515B7MP24Zv7FwNrkREarvAm4BZgdESMrE/A7cs+pFzd5f7+pPCl6dz0C3FxJIhWmF4/bFo+vJ3++u6SmjrcAT5HjN1BLqnoekVJaBswEtqta5m/ApyLiExGxe1+XG0qSpOHHRJIkSRqQiNiTnDy5MiLGFj1zNgCuBF4ZETvVWe3hXl5vXTx+DDgXOJyclHgkIr4eEZVLozYBHk8pPVuznYeqyltlc3Ii5rmaqdLjZtMm76/20sBne5kHsG5VHQFm0bOeGwyyjvUuVVxWtW/IPdF+Bfw/4E7g/og4uXocLEmSNLx5aZskSRqoSq+j44up1n+RxwWqtgXwr5rXAPcDpJQWAycAJ0TE9sBBwJfICZPjgceBTSJi7Zpk0pbF4+MN6vsMudfSShHRn8TKY+ReQZ/opXxGP7bVKo8Vj2+gfuLnsTrzmial9AjwUeCjETGR3EY+DywAzmnlviVJUnv465AkSeq3iFibPDbOLcA+daapwKF1Lm06uOb1e4DF5EGzu0kpzUkpnVmUVS59u4H8+eXdNYu/j5xsmkLv5lRtp+LNdZZbRh5Qu9ZvgZ2BuSmlW+tMTzXY97Lisd52m+la8qV/2/VSx9kt3v9KKaUZKaUTyQmt2rhLkqRhyh5JkiRpIN5Mvkzq2JRSV21hRJxL7oEymVUDMQN8qLjM6W/kgZqPAE5JKT1RrDeFfGnUXeQE02uBl5IH8YY8btCfge9GxGbANPIA3EcAZ/Qx0PZPyXc++zpwdbHdw+os9w9yr6ejgFuBZ1JKd5HvKHcI8KdiGzOA9cjJpf9IKb29wb7/UTx+NCJ+SL7U7M46l+gNSjFY+JeBbxc9gm4g98Taljx+0veqxzlqpojYiDxG1iXksZueA94ObAz8vhX7lCRJ7WciSZIkDcQHyIM393ZHrp8AXyuWq05cvB34FvBZ4Anybem/UFV+I7nX0qfJn1P+BXwypfRNgJTS8xHxZuB08qVumwL3Af9Lvi19Iz8kJ1T+m3z3sz8B7ySPJ1Tte8Ari32MJfdkGp9SeiIi9gZOLva9NbCInFC6otGOU0p3RMQpwJHAh8i9qnYo6t5UKaUTI+IeikvMgATMA64H/tlo3UF6BriNfHzbk3tGzQDel1L6ZQv3K0mS2ihSSkNdB0mSJHWAiEjkxN6pwIrUgg+KxV3kXkvuvfT6lNJ1zd6HJElqHcdIkiRJUrXPki9L+0BfC/ZXRGxTbNvkkSRJw5SXtkmSJKni36qet2Jg7odr9tEJd7qTJEn94KVtkiRJkiRJKsVL2yRJkiRJklSKiSRJkiRJkiSVYiJJkiRJkiRJpZhIkiRJkiRJUikmkiRJkiRJklSKiSRJkiRJkiSV8v8BHRfuFdVMMJUAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 27.5), ('RE1', 66.234375), ('FE1', 72.484375), ('FE2', 72.484375), ('RE1', 76.234375), ('RE2', 76.234375), ('FE1', 82.484375), ('FE2', 82.484375), ('RE1', 86.234375), ('RE2', 86.234375), ('FE1', 92.484375), ('FE2', 92.484375), ('RE2', 96.234375), ('RE1', 97.484375), ('FE1', 101.234375), ('FE2', 101.234375)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 26.25), ('RE3', 26.25), ('FE2', 195.0), ('FE3', 215.0)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 15.0), ('RE2', 15.0), ('FE1', 88.765625), ('FE2', 143.765625), ('RE2', 148.765625), ('FE2', 150.015625), ('RE2', 158.765625)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 12.5), ('RE2', 16.25), ('RE3', 16.25), ('FE2', 188.75), ('FE3', 311.234375), ('FE1', 391.25)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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/AlellH41gDq0e/1BSSldQu6xW7lUay26/qeMJMes1548JapjXe/9qS5bt4fnA1m/2nK6LrWtHjvqUuD/lX02kfTCYuJI0lBX/aV0dNX8nwN7pH7eAjultJiuL0h/iohTI+JVEbFWQ2qbfxUt81DV8+oPmNvTNUbL3+pst2PgVYLIgy5/LiL+FnlQ7OeqBtSt/lBZb/DL/h7bdlWv631hatSXqX1TStHDdFZloYhYIyLeGxF/iIg5xQDCqSoe/1ks2uqBQHuKL3TFuPbLySuKx6a1nSpfrhPfyjS7avnBvv970DWW2UCOr3J50BrAv2uS0Csnusb/GEO+fLMZFpMvQy3zCrqO89o627imeNy9uPypzM09zH+0eHwipXR/L8tsUKcOq53i3H8+uZ18MpUPzj2Q7e5ETvatRe4xd3QjtttqEfFS8hhbzwAfH27rD1ZErBkRZ5HHxltBvhz4ReT/2/uQzz8HAzcU46kNSyml+am41Jb8WWtr4KvkXk13RcRRba2gpLYb0fsiktQ+KaXKWAJB7kr9dvIAxv9FHi+iXk+CnnyE3PX65cDJxfRcRPyL3HvmJwP9dS2l9HQP85dV3bCo+kvfJlXPqxMwtfqVIKtWjFlyHd0TIc8CnXT1vqrc3arHnjkDOLbqAabr1X9enbKGKgYT/SP5EqeK58iXuVUGOt6QfBx96qXUQKXxLSwrHmsTBpX205S2M0iDff8H+7exRfG4Bl3tuzeje19kQB7vobce9D9OI8ht9NHaBXr6G6Wr/QykjTVbpU69xb5SXnsMg13/i+Sxr36fUrq8l230SXHO/Qu5DU8DDqjz3jTb0+T20u/4FP93f0LuTfqZ1PPg2qXavX6DfJY8FuACYJ+anpM3RMSbyHfNez1wbkTsnFJaZXD8HlS3iXrvT3XZ0z08H8j6pYpei/OAkyLiNvLloOdExE0ppTt7W1/S6skeR5KGhZQ9nFI6l3x74QT8b0Ts18uqZduaQ/6V/83Ad8l3M1uD3EPhf4EZA9luA5RdYtIIPyUnjWaTL23aKOVBoTctfl2svhvagG7HPYz8DzlptBj4DHmA5HVSShtV/dpa6fkznGLRrLYzVAzk+CqXnT3ah55SZT2mGqmZt1sf7ipJwQ2q7xhVonKeqk0iPlRT3uf1I2IH8qVpzwCfj4ixtVPV+muVzFtFkTT6K7lXynRyT8hHeqlbM/UanyKhPq5mecg/0LyWfPnu+SWxqX6/RhXzRw2h9RuhMhD3z3u43DbRNYD09uQ7N/ZVdazrtd/qsod6eD6Q9XuVUvoNMIf8GenD/VlX0urFxJGkYSel1EG+tXQA3xvIuCQppRUppT+nlD6dUtqT/Ivs+8gfkDYAftnAy9fqmV/1fIsel+r9S1GpiNiarrF63pNSuqykN1W9cY0Go/pDdl8/1Dbbu4vHU1NKZ6WU5pSMCdOseDRDpf00vO00wGDf/8H+bVS+rG8cEa3uPdYf1XGqd3lkpWwZuYfc6qL6blC79rhUV9nUHtbfNCI2oUTxP2KnkvW3IvfgGkMeM+/pkqnihMq8Ylyqsv1UkkZbkAc63zel9HCdY2qFSnz6ElvoHp/tiseXAwtZNTZXVi17ZTFv8hBaf1CKu55VegTWuxX9fVXPt+txqRoppcfpOk/15f1ZQb7ZQcU9dPUa7sv6jwywN3WlJ+QOA1hX0mrCxJGk4epU8q/4LwM+MNiNpZSeTin9kq5f1DYj3/Gk2e4nXzIG+Q4xPalXVs/WVc9v72GZZo3LMIuuL7j71lmulb27KvEojUUxoPJw+nBcGTdnYp1l6pU102Df/9vp6mk0sc76PZXdUDyuCRxYZ/12u42uL3/711mu8nd6Z0rp+TrLDTf/IPcAhNwLdBURsQ1dtyG/uqb4mqrnpeuTe5NWBgWuXb8hiqRRBzlpNJ18l69+9e5okkp8do6IF/ewTCVui8nvh7Lqy0u3qbNc9aWw/b0ksfL+vCmqrvmuUXl//lGM0whAMZD+DTXLdFNsszL4fr/bfrF+JRnWrsstJQ0BJo4kDUsppZnAxcXLk+sMFttNH3oRLa563tOYJA1T9Hap3C3pYxGxysC0xeCghw9wFwurnr+8ZNvrAicNcNt1FcdWuRvcxyJi45L9vww4tBn770ElHqvEovC1VlWkQSp3JHtdRLymtjAi1qbrUouWGuz7X/wy/tfi5XFlf7sR8TrypSxl699H18DZX42I9evVt7iLW8sVgzFX7nr2ueKyoW4i4uV03X2x5XeVaqaU0jPkMVQAPt7D+1S509nTwO9q1r+frmTHcT38L/hC8fgAcH3Vuh29Xb5YtY3qweE7qzdelTSqvjxtKCSNAH5LjlvQFYeVit5THyteXl68HwCklE7pJTbVCeHKzQkmDJX1Byul9CT5Em+A99Y5h1QG7V5BzwPU9+RnxeNL6LpL5krFHf8qx/nz2vKq9fctlq11GPkSulXWj4i+jHX7Qbp64Xb0YXlJqykTR5KGszPIPRK2pe/X3u8dEXdFxGciYueIWAPyr2oRsTdwTrHcPOCuRle4B2eQE1abAVdHxB5VddqP/KWyt1sp9+Qe8uV3kMeIeGWlICL2In8QbOZdlM4gf2nZGLgmIvYs9h0R8UbgKgZ+bANRuYPWSRHxrsoH54jYLiJ+SU7QPdnC+gzWxeRLSwL4TUS8o3LpZkSMJw8E3s5L7wb7/n+J/De+K/CHIolKRIyIiHeREw713q9PAouAHYEbi/isUymMiC0j4siIuA74+kAPsgFOIg/OvgPw54jYrajfGhFxEPkynBHky2XObVst64iIjaunqqKxNWVlg/h+kTzO0IuAK6re5zER8UW6EhunFV/ma32e3AP15cCvI2LLYv0NI+Jsunqc/b+UUkPHm4o8TlJlTKNpDKCnUUSsXRO7sVVlG9dM/frsXsTrtOLlxyLii5VLN4uE1xVF3Z8hvw+rnWLso+r4rl0UjayJbdn/wu8Vj1uR/z/vVZx/IiJeEhEXAUcUy/wspbSgZt8To+uunZNqN55Suo58HgQ4LyIOq/pcsj9dPyxNAS4oqd/PirIALi/WqZw7DgN+VCx3VbGvavtExPXFObDbZbIR8dKI+Bpd55uZPexf0gtFSsnJyclpSE3AKeQvi6kPy/6uWHYusHbV/Ill26ieX0zPke+W8nzVvIXAa2vW27aqfNuettlLXSvrTywpO7SmDk+RP8hX7m4yqXi+ZADxfGvNtp+p2vYi8uUxpXVr0LG9BVhSc2zPFs8fIv+i2af3u2TbE+vtu2T5bchjSlTWeZ58qWDl9QnkZFoCTilZf3ZRNqmBZb3Wv5c67QQ8XLWdJVXHtKR4/ytlrx5AjCvrLipiV2/6TaPff+DYqnUTOVFU2d6UqvJ7e1j/NTXxWUb+m3+2Zrs/GkBsenxfivJJRfnsPmzrCGBpVX0WkhPKlddzgJ3r/Q3U2Xav9aDrvNvR3zjUtJPepp5idRBd56VUtOFlVa/PB6LO/j9C9/Pck+QeIHX324/j6qne59e8Z3X/Rnp5f/oybTuAY4iaei6j+3nvGeCgAWx3YtU2Jg7V9ckJj77EdpW/D/KP7OfXLPd8TVtN5LvojemljpN6qN8G5EtWK8strtn+bGCbOse3LfnS4Or3s/rccRuwQS91q+x3PqueG+8YSLtzcnJavSZ7HEka7r5aPG4FHN2H5f9F7lVyDvluaguA9chfRO8g31Vt55TS3xte0zpSSpcBewKXkj+4rU2+3fZ3gD3ousSqcwDb/iPwOuD/ivVHkI/7p8Ar06q/QjZUSun/yHex+zV5IOC1yMf2ffKxzWrm/mvq8gA5zj+h6+4yS8g9c96UUjqjVXVplJTSvcDu5DsEziZ/SVxCvkzs1XSNgQEDaD9VxpB7xdWbVrnca7Dvf0rpLPIXnCvJyYB1yMd5Gvn4KpcTdfaw/g3kHkfHky9T6iTfQWo5uUfeheSB8Y+tV49mSyldDOxC/oV/JvkcsIx8XvoSsGtK6Z4eNzDMpZSuJLfjH5Hf33XI7/c1wKEppQ+llFKd9X8MvAr4JXkw39Hk9vY7YP+U0ilNqnr1Z+n16P1vpOVS9iHyDxTX0PV39AA53i8v4q8aKd9I40PAG8nnsNnkv8uR5IT0leTzxwGp6jK/fu7jSfK57Hjy55JKAvRu8niOuxf/u3pafzb5b+fUYp1KcuvWYpuvTuU99W4FjiT/P7yT/DljHDnhOpP8eeTd5M8JswdybJJWH1Hnf7AkaYiIiK8CJwJ/SSnVG0BX6iYi3kAeFHUJsF5avQZWprhU5L3A+SklbxctSZLUYPY4kqQhLvItpj9SvPxTvWWlahERdA0s/JfVMGm0I/Cu4qV/G5IkSU1g4kiShoCI+FREfCEidqgasHntYmDc64FNyZewnd/OemroiYh9I+KsiNgzIkYV86IYCP0Kusaw+t921nOgIuLUiPjviHhx1aCxYyLiCPKgxOsA91Jzty1JkiQ1hpeqSdIQEBFnAZ8uXi4njzWwHnk8IorXB6eUOlpeOQ1pEXEw+ZbbFU8Co8gJFchJo+NTSt9qcdUaIiJ+B7yjePk8+S5t4+j68etB4M0ppbtbXjlJkqQXABNHkjQERMQewPvJg1hvCWxEvsPSLODPwHdSSg+2r4YaqiJic/KljPsD2wObkAeMfgj4O/D9lNIt7avh4ETE68l3HNubfNvwDcl3DZpOHtT8+ymlJ9pXQ0mSpNWbiSNJkiRJkiSVGtH7IkPHuHHj0g477NDuarwgPPPMM4wZM6bd1VjtGefWMM6tYZxbwzi3hnFuHWPdGsa5NYxzaxjn1jDOrTFU4nzrrbcuSCltUlY2rBJHm222GbfcMmx72w8rHR0dTJw4sd3VWO0Z59Ywzq1hnFvDOLeGcW4dY90axrk1jHNrGOfWMM6tMVTiHBEP9FTmXdUkSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKjWi3RWQhrJ99oFbb4UxY5qz/eeffw0jRzZn2+pinFvDOLeGcW4N49w6xro1hkKcn3kGdtsNbr65vfXYYw+YPx922KHx2+7snMC4cY3fbn/MmAGbbAK3397eevRHf96TGTNg1KhXct99za+XpMzEkVTHwoWw4Ybwznc2Z/sPPvgYW265ZXM2rpWMc2sY59Ywzq1hnFvHWLfGUIjzb3+bk0ftNn8+LFrU7lo0z3A8tv68J4sWwdKlazW3QpK6MXEk1bHRRnn6/vebs/2OjvuYONEPy81mnFvDOLeGcW4N49w6xro1hkKc7767rbtfqdKrpaOj8dvu6LiDiRMnNn7D/dDm3Q9If96TiROhs3MxsHYTaySpmmMcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSrV8sRRRLwpIv4SEY9ExNKImBcRl0TEy1pdF0mSJEmSJPVsRBv2uSFwK3A2MB94MfAF4MaI2C2l9EAb6iRJkiRJkqQaLU8cpZR+Bfyqel5E3AzcCxwKnNnqOkmSJEmSJGlVQ2WMo8eLx2VtrYUkSZIkSZJWalviKCLWjIi1IuKlwLnAI9T0RJIkSZIkSVL7tGOMo4qbgFcWz2cA+6WUHqu3wui5c2HixO4zDz8cjjkGnn0WDjpo1ZUmTcrTggVw6KGrln/843DEETB3Lhx55Krlxx0Hb3sbTJsGRx+9avlJJ8EBB8Add8Cxx65afvrpsPfe8M9/woknrlp+1lkwYQJcey2cdtqq5eeeC+PHwxVXwJklV/H94hew9dZw8cVwzjmrll92GWy8MVxwQZ5qXXkljB4NZ58Nl1yycvaEzk4YNw46OvKMb34T/vjH7uuOGgVXXZWff+UrcN113cs32gguvzw/P+EEmDy5e/lWW8GFF+bnxx6bY1htxx3hvPPy86OOgunTu5dPmJDjB/D+98O8ed3L99oLzjgjPz/kEHj88e7l++8PJ5+cnx94ICxe3L38rW8Fjs/Pa9sdNKbtbbaZba+m7a3UwLY34aqrcnuuGA5t7/gmt70mnPdWnjdse/l5s857Bx+cn9v2Vi1vYNubcPLJ3c8bYNtr0nlvQmdn3qZtr7nnPWh/25sxAxYtgonHdpW3o+3dUWxv4rENP++t/F9Y0Y62V318Q6Ht9eW8N3dufu+q20ZPbe+Osxi7bBkccsawPe8Bw+N/7ogRw/u8N0z+5064+ebu543BtL3KcTVYOxNHRwLrAduTv51fExH7pJRmVy8UEUcBRwHsOnIknZ2d3Tby2PTpPNTRwRpLlrB7TRnAI/feyyMdHYxcuJBdSsofnDqV+R0drP3YY+xcUj53yhQeX3ddRs2Zw/iS8gfuvJMnR4xg7IwZ7FBSfv9tt/HUc8+x3t13s31J+YxbbmFRZycb3Hkn25SUT7vpJhY//DAbTZnC1iXl90yezNKZM9lk6lS2LCmfesMNPL/++mx+771sXlJ+1/XXs2Kdddhi+nQ2rSpfvnw5nZ2d3FE0vK1nzmSjmvWXL17MlKJ8m1mz2KCm/PkVK5halG83Zw7r15QvHTmSe4ryHebNY2xN+bMPPcT0onzHhx5idE35onnzmFGU7/zoo6xdU75wzhxmFeW7zJ/PyKee6lb+5KxZPFCU7/bEE6y5dGm38sdnzmTjjfMfaeeM7tuGxrS9RWPGMHnyZNteSXkj297Yoj1XDIe2N7con1ASm6F63qucN2x7ubxZ571FixbR0dFh22vyeW+LmvMG2Paadd5bvnw5M217TT/vLVq2jOntbnujFjFy6cJuf1vtaHs7j5wKQGdnZ8PPe8trzh3taHvVxzcU2l5fznvbjVnBOk893C12PbW9nUdOJY1Ywfz584fteQ+Gx//cRePHc8swPu8Nl/+5a9ecNwbT9irH1WiRUmrKhvtViYhxwGzg1ymlj/W03Pjx49O0adNaVa0XtI6ODiaWZb7VUMa5NYxzaxjn1jDOrWGcW8dYt4Zxbg3j3BrGuTWMc2sMlThHxK0ppT3LyobE4NgppU7y5Wo7tLkqkiRJkiRJKgyJxFFEbAbsBMxsd10kSZIkSZKUtXyMo4j4LXAbcBfwFLAj8BlgGVAyKpYkSZIkSZLaoR2DY98IHA4cB6wFzAU6gDNqB8aWJEmSJElS+7Q8cZRS+jrw9VbvV5IkSZIkSf0zJMY4kiRJkiRJ0tBj4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSI+oVRsT5/dhWSil9eJD1kSRJkiRJ0hBRN3EE7AekPm6rr8tJkiRJkiRpGKibOEopbduiekiSJEmSJGmIcYwjSZIkSZIklepX4igixkTEpyLisoj4a0S8tJj/7ojYqTlVlCRJkiRJUjv0NsbRShGxNdABbAXcC+wKrFsU7wscAHykwfWTJEmSJElSm/Snx9GZwFJgR+CVQFSV/Q14bQPrJUmSJEmSpDbrc48j4A3AUSmlByJizZqyB4EtG1ctSZIkSZIktVt/ehytBTzdQ9n6wLLBV0eSJEmSJElDRX8SR3cBh/RQdiBw6+CrI0mSJEmSpKGiP5eqfQO4LCIAflnMe1lEvAP4MPD2BtdNkiRJkiRJbdTnxFFK6TcRcQzwNeBDxeyfky9f+++U0p+aUD9JkiRJkiS1SX96HJFS+mFE/ALYC9gUeBz4Z0qpp7GPJEmSJEmSNEz1K3EEkFJ6Bri2CXWRJEmSJEnSENKvxFFErAH8J/BiYJ3a8pTSzxtUL0mSJEmSJLVZnxNHEfEy4HfAS4AoWSSRxzySJEmSJEnSaqA/PY7OLpY/HJgCLG1KjSRJkiRJkjQk9Cdx9ApgUkrpN82qjCRJkiRJkoaONfqx7ALguWZVRJIkSZIkSUNLfxJH3wY+ERFrNqsykiRJkiRJGjr6c6naJsB44N8RcQ3wRE15Sil9qWE1kyRJkiRJUlv1J3F0UtXzl5aUJ8DEkSRJkiRJ0mqiz4mjlFJ/LmuTJEmSJEnSMGcySJIkSZIkSaX6c6naShGxKbBO7fyU0pxB10iSJEmSJElDQp8TRxGxHvAd4Ahg7R4W845rkiRJkiRJq4n+9Dj6AXAI8BNgCrC0KTWSJEmSJEnSkNCfxNGbgc+llH7QrMpIkiRJkiRp6Ojv4NjTmlILSZIkSZIkDTn9SRz9GnhbsyoiSZIkSZKkoaU/l6pdDZwVEesCVwJP1C6QUvpLoyomSZIkSZKk9upP4uj3xeN2wKSq+QmI4tG7qkmSJEmSJK0m+pM42rdptZAkSZIkSdKQ0+fEUUrpb82siCRJkiRJkoaW/t5VTZIkSZIkSS8Q/blUjYjYBfgIMB5Yp6Y4pZT2b1TFJEmSJEmS1F59ThxFxKuAvwGzgZcCdwEbAC8G5gEzmlA/SZIkSZIktUl/LlU7HfgNsAv5LmofTiltCxxAvpvaaQ2vnSRJkiRJktqmP4mj3YELgVS8XhMgpfQXctLojMZWTZIkSZIkSe3Un8TRWsAzKaUVwBPAi6rKpgG7NrJikiRJkiRJaq/+JI5mAFsWz+8CPhQRa0TEGsAHgUcaXTlJkiRJkiS1T3/uqnYFMBH4JXm8o/8DngKWA2OBTzW6cpIkSZIkSWqfPieOUkqnVD2/NiJeDRwCjAb+lFK6uvHVkyRJkiRJUrv0p8dRNyml24HbG1gXSZIkSZIkDSH9GeNo0CLi0Ii4PCIeiIjFETEtIs6IiHVbWQ9JkiRJkiT1rs+Jo4hYKyK+FBH3RsSzEbG8ZlrWh80cTx4T6UTgzcA5wMeBa4pBtiVJkiRJkjRE9OdStW8AnwCuAn4DLB3A/t6WUppf9fpvEfEE8DPywNt/GcA2JUmSJEmS1AT9SRwdCnwppfTVge6sJmlU8a/iccuBbleSJEmSJEmN15/E0VhgchPq8Pri8Z7eFhw9dy5MnNh95uGHwzHHwLPPwkEHrbrSpEl5WrAADj101fKPfxyOOALmzoUjj1y1/Ljj4G1vg2nT4OijVy0/6SQ44AC44w449thVy08/HfbeG/75TzjxxFXLzzoLJkyAa6+F005btfzcc2H8eLjiCjjzzFXLf/EL2HpruPhiOOecVcsvuww23hguuCBPta68EkaPhrPPhksuWTl7QmcnjBsHHR15xje/CX/8Y/d1R42Cq67Kz7/yFbjuuu7lG20El1+en59wAkyuaT5bbQUXXpifH3tsjmG1HXeE887Lz486CqZP714+YUKOH8D73w/z5nUv32svOOOM/PyQQ+Dxx7uX778/nHxyfn7ggbB4cffyt74Vjj8+P69td9CYtrfZZra9mra3UgPb3oSrrsrtucK215Tz3srzhm0vP2/Wee/gg/Nz296q5Q1sexNOPrn7eQNse006703o7MzbtO0197wHtr0WnPdW/i+ssO015bw3obMTXvIS216zz3sjRtj2WnDem3Dzzd3PG4Npe5XjarD+JI6uAF5HAy8ni4gtgVOBa1NKt/SwzFHAUQC7jhxJZ2dnt/LHpk/noY4O1liyhN1rygAeufdeHunoYOTChexSUv7g1KnM7+hg7cceY+eS8rlTpvD4uusyas4cxpeUP3DnnTw5YgRjZ8xgh5Ly+2+7jaeee4717r6b7UvKZ9xyC4s6O9ngzjvZpqR82k03sfjhh9loyhS2Lim/Z/Jkls6cySZTp7JlSfnUG27g+fXXZ/N772XzkvK7rr+eFeuswxbTp7NpVfny5cvp7OzkjqLhbT1zJhvVrL988WKmFOXbzJrFBjXlz69YwdSifLs5c1i/pnzpyJHcU5TvMG8eY2vKn33oIaYX5Ts+9BCja8oXzZvHjKJ850cfZe2a8oVz5jCrKN9l/nxGPvVUt/InZ83igaJ8tyeeYM2l3a++fHzmTOYW5RNKYteItrdozBgmT55s2yspb2TbG1u05wrbXnPOe5Xzhm0vlzfrvLdo0SI6Ojpse00+721Rc94A216zznvLly9npm2v6ee9RcuWMd221/Tz3vKac4dtrznnveXLlzN//nzbXpPPe4vGj+cW217Tz3tr15w3BtP2KsfVaJFS6rkwYvuql5sAPwcuAq4EnqhdPqV0f593HDEW6AC2AP4zpTSv/howfvz4NG3atL7uQoPQ0dHBxLLMtxrKOLeGcW4N49waxrk1jHPrGOvWMM6tYZxbwzi3hnFujaES54i4NaW0Z1lZbz2OZgDVmaUATgG+VLuPYrk1+1ihUeQeTNsDr+9L0kiSJEmSJEmt1Vvi6EN0TxwNWkSMBC4D9gTekFKa0sjtS5IkSZIkqTF6Sxz9HHgLMCuldHfZAhGxG7BtSumK3nYWEWuQL3XbD3hrSunGftZXkiRJkiRJLbJGL+XvB34FPFNnmaeBX0bEe/qwvx8AhwFnAs9ExKurpq36VGNJkiRJkiS1RF8SRz9NKc3qaYGU0mzgfOADfdjfgcXj/wCTa6aP9GF9SZIkSZIktUhvl6q9AvheH7ZzLfC+3hZKKW3bh21JkiRJkiRpCOitx9G6wJN92M6TxbKSJEmSJElaTfSWOFoAbNOH7by4WFaSJEmSJEmrid4SR/+gb2MXTSqWlSRJkiRJ0mqit8TRWcD+EfHtiFirtjAiRkbEWcB+wLcbXz1JkiRJkiS1S93BsVNKkyPiOOBM4H0RcTXwQFG8DfAGYCPguJTSjU2tqSRJkiRJklqqt7uqkVI6KyJuAz4PvBMYVRQtBjqAr6WU/t60GkqSJEmSJKktek0cAaSUrgeuj4g1gI2L2Y+nlJY3rWaSJEmSJElqqz4ljipSSiuAx5pUF0mSJEmSJA0hvQ2OLUmSJEmSpBcoE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiPaXYH+ePTRdfjoR9tdixeGhx/ekYsuanctVn/GuTWMc2sY59Ywzq1hnFun3bGePDk/XnEFbLdd++qxxx4wfz7ssENztt/ZOYFx45qz7b6aMQM22QRuv7299WhmrI1zF+MsrT6GVeLomWdGcOWV7a7FC8Nzz23EWmu1uxarP+PcGsa5NYxzaxjn1jDOrdPuWC9YkB8XLmxfHSB/wV60qL11aLahcnyre6yHyrEZZ2n1MawSR9tvv4hp09pdixeGjo7JTJw4sd3VWO0Z59Ywzq1hnFvDOLeGcW6ddse6susJE9pWBaCrV0ZHR3O239FxR9vb9FD5k2pmrI1zF+MsrT4c40iSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSqZYnjiJiq4j4XkRMjohnIyJFxLatrockSZIkSZLqa0ePox2Aw4Engb+3Yf+SJEmSJEnqg3Ykjq5PKW2WUjoIuLQN+5ckSZIkSVIftDxxlFJa0ep9SpIkSZIkqf8cHFuSJEmSJEmlRrS7Av0xeu5cmDix+8zDD4djjoFnn4WDDlp1pUmT8rRgARx66KrlH/84HHEEzJ0LRx65avlxx8Hb3gbTpsHRR69aftJJcMABcMcdcOyxq5affjrsvTf8859w4omrlp91FkyYANdeC6edtmr5uefC+PFwxRVw5pmrlv/iF7D11nDxxXDOOauWX3YZbLwxXHBBnmpdeSWMHg1nnw2XXLJy9oTOThg3Djo68oxvfhP++Mfu644aBVddlZ9/5Stw3XXdyzfaCC6/PD8/4QSYPLl7+VZbwYUX5ufHHptjWG3HHeG88/Lzo46C6dO7l0+YkOMH8P73w7x53cv32gvOOCM/P+QQePzx7uX77w8nn5yfH3ggLF7cvfytb4Xjj8/Pa9sdNKbtbbaZba+m7a3UwLY34aqrcnuusO015by38rxh28vPm3XeO/jg/Ny2t2p5A9vehJNP7n7eANtek857Ezo78zbb1fbuOAu23grYuL1tj/Hw+AKYWFL/RrQ9aH/bmzEDFi2Cicd2lbej7d1RbG/isQ0/7638X1jRjvNe9fG183/uHWfB7rsBaza87U3o7ISXvKS95737z4ftt8/PV9f/uSNG+F2jBf9zJ9x8c/fzxmDOe5XjarAhnziKiKOAowB2HTmSzs7ObuWPTZ/OQx0drLFkCbvXlAE8cu+9PNLRwciFC9mlpPzBqVOZ39HB2o89xs4l5XOnTOHxdddl1Jw5jC8pf+DOO3lyxAjGzpjBDiXl9992G0899xzr3X0325eUz7jlFhZ1drLBnXeyTUn5tJtuYvHDD7PRlClsXVJ+z+TJLJ05k02mTmXLkvKpN9zA8+uvz+b33svmJeV3XX89K9ZZhy2mT2fTqvLly5fT2dnJHUXD23rmTDaqWX/54sVMKcq3mTWLDWrKn1+xgqlF+XZz5rB+TfnSkSO5pyjfYd48xtaUP/vQQ0wvynd86CFG15QvmjePGUX5zo8+yto15QvnzGFWUb7L/PmMfOqpbuVPzprFA0X5bk88wZpLl3Yrf3zmTOYW5RNKYteItrdozBgmT55s2yspb2TbG1u05wrbXnPOe5Xzhm0vlzfrvLdo0SI6Ojpse00+721Rc94A216zznvLly9nZhvb3s4jp/L0es/R0XF3W9vexhuPYZ3nH1ql3UFj2t6iZcuY3u62N2oRI5cu7HaM7Wh7O4+cCkBnZ2fDz3vLa84d7TjvVR9fO//n7jxyKgs2HEdHx+yGn/eWL1/O/Pnz23re2370NJ7aeC06Omastv9zF40fzy1+12j6/9y1a84bgznvVY6r0SKl1JQN92nnER8BfgRsl1Ka3dvy48ePT9OmTWt6vQQdHR1MLMt8q6GMc2sY59Ywzq1hnFvDOLeOsW4N49waxrk1jHNrGOfWGCpxjohbU0p7lpU5xpEkSZIkSZJKmTiSJEmSJElSqbaMcRQRldG7Xlk8HhgR84H5KaW/taNOkiRJkiRJ6q5dg2NfWvP67OLxb8DE1lZFkiRJkiRJZdqSOEopRTv2K0mSJEmSpL5zjCNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqVSklNpdhz6LiKeBae2uxwvExsCCdlfiBcA4t4Zxbg3j3BrGuTWMc+sY69Ywzq1hnFvDOLeGcW6NoRLnbVJKm5QVjGh1TQZpWkppz3ZX4oUgIm4x1s1nnFvDOLeGcW4N49waxrl1jHVrGOfWMM6tYZxbwzi3xnCIs5eqSZIkSZIkqZSJI0mSJEmSJJUabomj89pdgRcQY90axrk1jHNrGOfWMM6tYZxbx1i3hnFuDePcGsa5NYxzawz5OA+rwbElSZIkSZLUOsOtx5EkSZIkSZJaZMgnjiJi64i4LCIWRsRTEfGbiHhxu+s1nEXEVhHxvYiYHBHPRkSKiG1LllsnIr4REQ9HxOJi+de1ocrDUkQcGhGXR8QDRfymRcQZEbFuzXIbRMSPI2JBRDwTEddGxG7tqvdwExFvioi/RMQjEbE0IuZFxCUR8bKa5TyXNFhE/Kk4f5xWM982PUARMbGIae3UWbOcMW6AiDgoIq6PiEXFeeGWiNivqtw4D1JEdPTQplNE/KlqOWM9SBHxmoi4OiIei4inI+K2iPhQzTJ+thukiNg3Iv5RxO+JiPhFRGxWspxtuo8a/d0kItaIiBMiYnZELImIOyPikJYczBDWjzifXpxLHi+WmVRnmx+NiHuLz+DTIuJjzTyG4aAvcY6IPSPivCJ2z0bEnIi4KCK2K9nekGjPQzpxFBGjgb8AOwEfAI4EXgr8NSLGtLNuw9wOwOHAk8Df6yz3E+CjwBeBtwIPA3+OiAnNruBq4nhgOXAi8GbgHODjwDURsQZARARwRVH+SeAQYCS5jW/VjkoPQxsCtwL/DbwROAHYBbgxIrYBzyXNEBHvAV5eMt823RifAvaqmg6oFBjjxoiIo4Hfk88f7wQOAy4FRhflxrkxjqF7W94L+GxR9gcw1o0QEbsD15Lj9lHgXcC/gJ9ExMerFvWz3SBExGuBq4FOcjv9NPA64LqIWLtqOdt0/zT6u8lXgFOA7wMHAjcCl0bEQQ2t9fDT1zh/EhgF/LHexiLio8C5wOXktn4pcHbNOeeFqC9xfjf5+8p3yW30C8ArgFsiYuuaZYdGe04pDdmJfDJeDuxQNW87YBnw2XbXb7hOwBpVzz8CJGDbmmVeXsz/YNW8EcA04A/tPobhMAGblMz7ryKu+xWv31G83rdqmfWBJ4DvtvsYhusEjC/ielzx2nNJY+O7AfAI8J4izqdVldmmBxfbiUX8DqizjDEefJy3BRYDxxrntsT/J8BSYENj3bCYng48B4ytmT8ZmFw897Pd4ON8LTADGFE1b88irsdUzbNN9y+uDftuAmxanF++XLP+dcBd7T7WoR7n6uXICZAETCpZZgTwGPCzmvnnAwuAke0+3qEcZ8q/J24DrABOrZo3ZNrzkO5xBLwduDGlNKMyI6U0C7iBfELWAKSUVvRhsbcDzwMXV623DPg18KbqX1VULqU0v2T2v4rHLYvHtwMPpZT+WrXeQvKvVLbxgXu8eFxWPHouaayvA3enlH5VUmabbj5jPHgfIn84+2GdZYxzExQ9QA8DrkgpPVHMNtaDtxb5c9vimvkL6brCwM92g/dq4JoibgCklG4hf+54Z9Vytul+aPB3kzeR/x4urFn/QmC3skuBXij6GOe+LrcXsAmrxvkXwEbAPv2r3eqjL/Er+56YUnoAmE/X90QYQu15qCeOdgHuLpk/FXhZyXw1zi7ArJTSszXzp5Ib7w6tr9Jq4fXF4z3FY702/uKIGNuSWq0GImLNiFgrIl5K7jb7CFBJbHguaZCI2Ifcc+4TPSxim26MiyJieTG+wC+j+3hcxnjw9gHuBd4dETMjYllEzIiI6nZtnJvjncC6wM+q5hnrwbugePxuRGwREeOKy0j2B75dlPnZbvCWk3t21VoK7Fr12jbdeH1tv7uQ348ZJcuBn/saZZfisbadG+cBioidyT2M7qmaPWTa81BPHG1Ivjaw1hPkSyXUPPViXylXP0TElsCpwLXFr1PQe5xt5313E/nEOh3YnXw54GNFmeeSBoiItchJuW+mlKb1sJhtenAWAmeSuzbvR76u/QBgckRsWixjjAdvC/I4Z98AvkYeH+0a4PsR8eliGePcHP9Fvrzhqqp5xnqQUkp3ky91fQfwIDmePwA+llL6dbGYn+0Gbxq519FKxXiKL6J7/GzTjdfX9rsh0JmK63nqLKfBqcSx9j0xzgMQESPIvaDnky/nrhgy7XlEq3YkvZAVvyz9nnzp1AfbXJ3V1ZHAesD25IHJr4mIfVJKs9taq9XL/yMPlvjVdldkdZVSuh24vWrW3yLieuBm8oDZJ7WlYqufNci9XiallH5TzPtLcdeTEyLiu22r2WosIrYgJ0K/U32pjwav6G17OflX6I+RL1l7B/DDiFiSUrqonfVbjXwHuDDy3US/S/7Sdh750tc+XQYkSSW+D+wNvCWlVJYgbbuh3uPoScoz8j1lnNU49WIPXVlO9SIiRpGvad8eeFNKaV5VcW9xtp33UUrpnpTSTcW4O/sDY8l3KADPJYNWXCr1P8DJwNrFZRDjiuLK6zWxTTdcSuk2ck+6/yhmGePBq4yDdk3N/KuBzci9B4xz472f/NnzZzXzjfXgnU4e/+WtKaU/ppSuSyl9CrgE+E5xN1c/2w1SkYA7DTgOeBT4N7mH15XkO3xV2KYbr6/t90lgXHFnu3rLaXAqbbj2PTHO/RQRXwOOAj6UUrq6pnjItOehnjiaStf1k9VeRj5Rq3mmAtsVg1hWexn52u7a6yxVIiJGApeR77hxUEppSs0i9dr4nJTSoiZXcbWUUuokt9HK9e6eSwZve2Ad8mB8T1ZNkHt4PQnshm26mSrdlI3x4E3tpXwFxrkZPgDcmVK6s2a+sR683cixfb5m/s3kgWo3xc92DZFSOhnYmHxZ/ItSSu8hX/r6j6rFbNON19f2OxVYG3hJyXLg575GqfwfrW3nxrkfIuJ/gM8Dn0op/aJkkSHTnod64ugPwKsjYvvKjKIb+WuKMjXPFcBI8p1PgJXXXh4BXJ1SWtquig0Xxa97F5HHKTk4pXRjyWJ/ALaMiNdXrbce8DZs4wMWEZsBOwEzi1meSwbvDmDfkglyMmlf8oc223SDRcSewHjyF0Awxo3w2+LxTTXz3wzMSyk9gnFuqKIdv4xVexuBsW6ER4AJxVh01V4FLCH/Ku1nuwZJKT2TUpqSUno0It5M/sxRfZdG23Tj9bX9/onc++59Neu/n3xH2FktqOsLwWRgAeVxfoJ852LVERGfIvdg/J+U0vd7WGzItOehPsbRj4D/Bn4fESeRf239CjCXPECrBigiDi2evrJ4PDAi5gPzU0p/SyndHhEXA2cVvWZmAR8HtmPVhqtyPyD/c/sq8ExEVA+mOK+4ZO0P5BPvhRHxOXKvjROAAP63xfUdliLit8BtwF3AU8COwGfI40mdWSzmuWSQil5cHbXzi56zD6SUOorXtulBiIiLyOfb24BOYA9y/B4kj6cBnjca4Urgr8C5EbExcD/5fP1GusahM86N9V/k83LZWDvGevC+D1wKXBERZ5PHOHo78B7g2yml5wA/2w1SROwBHEg+R0O+Q+PngP9NKf2zalHbdD816rtJSumxiPgWeby6p8nv1RHkH3Lf3qLDGbJ6i3OxzOuBTYDNi2X2jIhFACmly4rH5yPiZODsiHgQuJYc4w8BnyzOOS9YvcU5It4NnEVODP2l5nviUymlf8MQa88ppSE9AS8mD/b3FPA08Dtg23bXa7hP5C/OZVNH1TKjgG+Rf8VaQr5r1cR21324TMDsOnE+pWq5DYHzydn5Z4HrgJe3u/7DZSJ377yV/CX7WfIdT86tPU94Lmla/BNwWs082/TA43kCOQm6kPwL01zywKsvMsYNj/V65AT/o+TLHO4C3mucmxLrkeQ7xVxRZxljPfg4H0hO8M8v/s/dARwDrFm1jJ/tBhfjXciXpHWSk3O3AR/sYVnbdP9i27DvJsCa5JtJPEC+4+5dwKHtPsahMPUxzh09LVeyvaPJ4zAuBe4Djmn3MQ6Fqbc4Axf05b0olh0S7TmKykiSJEmSJEndDPUxjiRJkiRJktQmJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkqRBi4gfRUSKiG/3UH5KUT6iRfWZWOxv4gDWPTgiPtvg+kwoYrBhSVmKiFMaub+BKupSmSY1Yftb1ezjgEbvQ5IkNZaJI0mSNCgRMQo4vHj53lYlh5roYKChiSNgAvAlYJXEEbAX8OMG728wfkKu0/81YduPFdv+RBO2LUmSmsDEkSRJGqyDgfWAK4FNgTe3tTbDTErpxpTSvHbXo8q8ok7zG73hlNJzKaUbgX83etuSJKk5TBxJkqTB+gDwJDAJWFy87snOEfHXiHg2Ih6OiFMjYuXnkYgYGxHfi4g5EbE0Ih6LiGsjYqeqZdaLiO9HxEPFMtMi4jMREfUqGRGzI+KCkvkrLxUryj8AbFl1OdXsqmU3iYgfRsSDxb7vjYijetnvJOCnxcv7qra7be3+i9eVy/p2iog/R8QzRTw+WJQfWex3URHLl5Ts86iIuDMilkTEgoj4Sdllcn0VERdExLyI2CMi/l68f/dFxMdqlts8In5W9d48HBF/jIhNB7pvSZLUXsO9K7kkSWqjiNgCOAD4UUppfkT8DnhXRGyQUnqyZJXfAecDZwBvAk4GVgCnFOXfBt4OnAjcB2wEvAYYV+xvDfIlVK8AvghMAd4CfAvYpFhvML5SbOc/inoALC32vR7wD2BUUd9ZxTGcExFrp5S+18M2/w84DTgJOAyo9C56uJe6XAr8CPgmcAxwfkS8FJgIfAEYCXwH+CXwqspKEfE14Djgu8DngC2L/e8aEXunlJb3st+erFfs6yzgVOCD5GOfllL6a7HML4Btiv3OBTYD9gdGD3CfkiSpzUwcSZKkwXg/sCbw8+L1z4D3AEcAPyxZ/kcppa8Vz68ukjHHRcRZKaVO8vg3F6WUflK1zm+rnh8E7AN8MKV0QdV2xhTb+VZKacFADyalNDMi5gOVS6qqfZqcFNktpXRfMe/aiBgHfCkizkkpLSvZ5vyImFm8vCOlNKOP1flGSunnABFxC/A24Ghgu5TSU8X8FwHfiYhtUkoPFL2YPgd8OaV0amVDETGdnPR6Gzl5NxDrAsdUkkQRcT05cfYeoJI42gs4MaV0UdV6lw5wf5IkaQjwUjVJkjQYHwDuSylNLl5fCzxEz5erXVLz+tfAWGDX4vW/gEkRcWJE7BkRa9Ys/zpyD6Vf1sy/EFiLnLholjcDNwGzImJEZQL+TO4Z9bIG7++qypOi99ZjwI2VpFHh3uJx6+LxDeTPdxfV1PEm4Gly/Abq2aqeRaSUlgLTgRdXLfMv4HMR8emI2K23ywclSdLQZ+JIkiQNSETsSU6W/CYixhU9b9YFfgO8OiJ2LFnt0R5eb1k8fhI4F/gQOQnxWER8OyIqlzptCDyRUnquZjuPVJU3y6bkxMvzNVOlR81GDd5f7aV+z/UwD2CdqjoCzGDVeq47yDqWXXq4tGrfkHua/QH4f8BdwIMR8cXqcawkSdLw4qVqkiRpoCq9ij5fTLX+izyuT7XNgPtrXgM8CJBSWgScAJwQEdsAhwJfIydIPg88AWwYEWvVJI82Lx6fqFPfJeReSStFRH8SKY+Te/18uofyaf3YVrM8Xjy+kfJEz+Ml8xompfQY8AngExExntxGvgzMB85p5r4lSVJz+OuPJEnqt4hYizy2zU3AviXTHcCRJZcqHV7z+t3AIvIg192klB5IKZ1ZlFUuZfsb+fPLYTWLv4+cXJpMzx6o2k7FW0qWW0oeALvWn4CdgDkppVtKpqfr7Htp8Vi23Ua6hnwp34t7qOOsJu9/pZTStJTSieQEVm3cJUnSMGGPI0mSNBBvIV/2dFxKqaO2MCLOJfcwmUjXwMkAHy0uW/oXeWDljwCnpJQWFutNJl/qNIWcUHo98HLyoNuQx/35B/DDiNgEmEoeMPsjwBm9DIz9a/Kdyb4N/LHY7qSS5f5N7tX0ceAWYElKaQr5jm9HAH8vtjENGENOJr02pfSOOvv+d/H4iYj4GfnSsbtKLrkblGJw768D3y96/PyN3NNqa/L4Rz+uHqeokSJiffIYVxeRx156HngHsAFwdTP2KUmSms/EkSRJGogPkAdb7umOWb8CvlUsV52oeAfwPeBkYCH5NvFfqSq/ntwr6Qvkzyn3A59JKX0XIKW0IiLeApxOvnRtI2A28FnybeLr+Rk5gfJh8t3J/g68kzweULUfA68u9jGO3FNp25TSwojYG/hise8tgU5yAunyejtOKd0ZEacARwEfJfea2q6oe0OllE6MiHsoLhkDEjAXuA64r966g7QEuI18fNuQez5NA96XUvp9E/crSZKaKFJK7a6DJEmShoCISORE3qnA8tSED4rFXd5eT+6d9IaU0rWN3ockSWocxziSJElStZPJl5l9oLcF+ysitiq2bbJIkqRhwkvVJEmSVPEfVc+bMZD2ozX7GAp3opMkSXV4qZokSZIkSZJKeamaJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklfr/9X8TgqMxjbYAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE3', 17.5), ('FE1', 73.75), ('RE1', 77.5), ('FE1', 83.765625), ('FE3', 83.765625), ('RE1', 87.515625), ('RE3', 87.515625), ('FE1', 93.765625), ('FE3', 93.765625), ('RE1', 97.515625), ('RE3', 98.765625), ('FE3', 100.015625), ('FE1', 103.765625)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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fRh4U+9GqAXWrf5QONzhos7HtXPV8uAOmVh1M7ZdSijq3sysTRcSUiHhHRPw0IpYWAwinqu3x/GLS8R4otd72hYFtvHnN688t7ses7VT5r2G2b+V2a9X06/r+P4eBscxGE1/l9KApwN9qktBP3hgYF2cj8umbY2EV+TTUMs9lIM4rhlnGr4r7vYvTn8r8uc7r9xT396eU/j7CNJsNU4dJp9j3f4PcTv41lQ/OPZrl7k5O9m1A7jF3dCuWO94i4hnkMbYeAY7ttPmrpZTekfKppJuTB1p/M7mH6Y+ocxpoyoOffzCl9OdKUjdl16eU3sbA6W2vjYiX184vSZOFiSNJE1rlgJS8v9qOPHBpH/lKJCONyVPPkeReJVsBHwH+BDwcEb8vkiu1B+fN1PfhOq8/XvW0+qBvq6rH1QmYWk0lyKoVY5b8jXzJ6pcW63yMgQF+76mavG7PnFHEVj3A9HD1XzZMWUtFxAzywfl3gdeRx42ZwsA/0dUDHjfUS6mFSrdvobKNaxMGlfYzJm1nHa3r+7+un43tivspDN9LasuqeaqT0620ok5vPWh+O63P0AQiUP8zykD7GU0bG2uVOo207SvltTGs6/wfJY8d85OU0sUjLKMhxT731+Q2vAA4YJj3ZqyNevsUvQa/Tu5NenKqP7h2qXbPP5yU0sMppUuAFwK3AweRT5Nv1kkMDH7+xibnrW4Tw70/1WXtakeSupyJI0kdofiH766U0rnkywsn4L9H8w9fSmkp+V/+VwGfJ1/NbAq5h8J/A4va9M9h2SkmrfBNcu+ZW8mnNm2R8qDQW6c8wG/11dBGO8hnp/hP8rg4q4B/Iw+QPC2ltEXxT/S2DPT86aRtMVZtZ6IYTXyV087uaaCnVFmPqVbyktf1VZKCmxUDVNdT2U/VJhHvrClveP6I2IV8atojwIciYmbtrWr+DUpeG6JIGv2GfCr0QnJPyLtHqNtYGnH7FAn1TWumh/wHzT+S/2j5Rsm2qX6/phevT59A84+o6GH2zeLpe4aZtN78/QwMXv20Jmev3tbDtd9K2UPF+iRp3Jk4ktRxUkq95EtLB/CF0YxLklJ6IqX0i5TSB1JK+5D/wX8neZDMzYDvtfD0teEsr3q8Xd2pRj4oKhUROzIwVs/bU0oXlYyjNNy4RuuiekybRn4Uj4e3FfenpZTOTiktLRkTZqy2x1iotJ+Wt50WWNf3f10/G5WD9S0jYrx7jzWjejsNd3pkpexxcg+5yaL6alLPqjvVQNn8OvNvHfnS6kMU3xG7l8y/A7kH10bkMfMeLrlVnFh5rRiXqmw9laTRduSBzvdLKd01TEzjobJ9Gtm2MHj77FzcPxt4kKHb5rKqaS8rXrt6As3fqEpPv40jYuthp2ytZtv+38awLpI0LBNHkjrVaeR/8Z8JvGtdF1Z0W/8e8M/FS9uQr2Y11v5OPvUO8tVM6hmubDg7Vj3+a51pDhjlskeyhIED3P2GmW48e3dVtkfptigGVN5l3Gqz7irj5vQMM81wZWNpXd//vzLQ06hnmPnrlf2huF+PPHjtRHUtAwP27z/MdJXP6fUppceGma7T/J7cAxByL9AhImInYI/i6S9rin9V9bh0fnJv0sqgwrXzt0SRNOolJ40Wkq9oNdwpluOlsn32iIin1pmmst1Wkd+PblPdU6ipHj1Fz6dKYmfJcNOWWEj+swrqt/2NyL2uYIzariQ1wsSRpI6UUlrMwBVNPjLMYLGDNNCLaFXV43pjkrRM0dulcrWkYyJiyMC0xeCgh4xyFQ9WPX52ybJnASePctnDKmKrXA3umIjYsnaaiHgmcPBYrL+OyvYYsi0KnxivirRI5YpkL42IF9cWRsSGwAnjW6VsXd//omfcb4qnx5d9diPipQwcVNXOfwsDA2d/PCI2Ga6+6zK22booTpWpXPXsg8VpQ4NExLMZuPriulxVasJJKT0CVMYWOrbO+1S50tnDwI9r5v87A8mO4+t8F3y4uL8NuKpq3t6RTl+sWkb14PB91QuvShpVn542EZJGkAd+fpjcQ/fDtYVF76ljiqcXF+8HACmlU0fYNtUJ4crFCeZMlPmL+NYfbuMUVxJ9d/H0yQGwq8pHOmX5dGBa8fgnw01Yq9hHVq7q+Lbij4ta7wNmkv8o+24zy5ekVjJxJKmTnUnukTCbgZ5CI9k3Im6IiH+LiD0iYgrkH4cRsS9wTjHdMuCGVle4jjPJCattgF9GxHOq6vRy8kHlSJdSrucmBv7R/EZEPK9SEBEvIh/sjOVVlM4kH7RsCfwqIvYp1h0RcSBwOaOPbTQqV9A6OSLeVDmoiIidI+J75ATdA3XnnnguIJ9aEsAlEfGGyqmbEbEb8DPae+rdur7/p5A/488CflokUYmI9SPiTeSEw3Dv17+SexDsCvyp2D6VgzwiYvuIOCwirgQ+OdogW+Bk8qDsuwC/iIi9ivpNiYiDyKfhrA8sBs5tWy2HERFbVt+qimbWlJUNAvxR8jhDTyFf3aryPm8UER9lILFxekqp7P3+EPnA+tnADyJi+2L+zSPiywz0OPuPlFJLx5uKPE5SZUyjBYyip1FEbFiz7WZWlW1Zc2vqt3uxvU4vnh4TER+tnLpZJLwuLer+CPl9mGx+X8T87OqkYkRsGhHvJJ/atjV5P1MW/9/q/F7YKyLOBz5QTHd5SmnIVREj4tQYuGrn7JLln0U+rXYG8L+V7+iI2CAijgU+Vkz31ZTSwpLlT6lpO9Xf55vUtJ0NS+afWjN/deJ2s5r5x3vgfEkTSUrJmzdv3ibUjXxlk0Txh9wI0/64mPZ2YMOq13vKllH9enF7FLiPfNBWee1B4B9r5ptdVT673jJHqGtl/p6SsoNr6vAQ+Yd8IiexDi8erx7F9nxtzbIfqVp2P/n0mNK6tSi215CvOlMd28ri8Z3kf3sber9Llt0z3LpLpt+J/CO9Ms9j5FMFK89PJCfTEnBqyfy3FmWHt7BsxPqPUKfdgbuqlrO6KqbVxftfKXvhKLZxZd7+YtsNd7uk1e8/cFzVvImcKKosb15V+c115n9xzfZ5nPyZX1mz3K+NYtvUfV+K8sOL8lsbWNZbgTVV9XmQnFCuPF8K7DHcZ2CYZY9YDwb2u73NboeadjLSrd62OoiB/VIq2vDjVc+/AcQw6z+Swfu5B8i9RoddbxNx1av3N2res2E/IyO8P43cZo8ihqip5+MM3u89Ahw0iuX2VC2jZyLOz8C+txL3iprYEzm5fVgD7brye6F23/G/wKwRPld13zvgecVyq/eRj1Y9/wVVv29q5p3dRNs5fIRtONKt6ffImzdvk+dmjyNJne7jxf0OwNENTP9/5F4l55CvpnYfsDH5QPQ68lXV9kgp/a7lNR1GSukiYB/gh+RBgTckXxr+c8BzGDjFqm8Uy/4Z8FLyj9s+cs+F+8hXknleSunKdav9iOv/X/JV7H5AHgh4A3JsXyTHtmQs119Tl9vI2/nrDFzRZjW5Z84rU0pnjlddWiWldDOwN/kKgbeSDxJXk08TeyEDY/3AKNpPlY0Y/rL221Bymfh1ff9TSmeTD24uIycDppHjPJ0cX+VUkr468/+B3OPoBPJpSn3kK0itJffIO588MP5xw9VjrKWULgD2JPcoWkzeBzxO3i+dAjwrpXRT2yo4xlJKl5Hb8dfI7+808vv9K+DglNIRKaU0zPz/A7wA+B55sOMZ5Pb2Y2D/lNKpY1T16t/SGzPyZ2TcpewI8h8Uv2Lgc3QbeXs/u9j+k9G7yL8TriL/CTONfDW2e4Hfkq+0uWtK6Tt15j+K/F15A3nMto3JSZTF5NNGD0opvSal9HCd+UeUUvoL+bP/WfKg6lPJybzfk6/09uqU0prRLl+SWiGG+Q6WJE0QEfFx4CTg1yml4QbQlQaJiFeQB1VdDWycJtfAykTEd4F3AN9IKTV6yqokSZIaZI8jSZrgIl9i+sji6c+Hm1aqVgzsWhlY+NeTMGm0K/Cm4qmfDUmSpDFg4kiSJoCIeH9EfDgidqkasHnDYmDcq8iDdy4nj1MhPSki9ouIsyNin4iYXrwWxSCrlzIwhtV/t7OeoxURp0XEv0TEU6sGp90oIt5KHpR4GnAzNVfbkiRJUmt4qpokTQARcTYDV2dZSx7TaGPyeEQUz9+YUuod98ppQouIN5IvuV3xAHkMj8rVwxJwQkrpM+NctZaIiB8DbyiePkYeyHZTBv78ugN4VUrpxnGvnCRJUhcwcSRJE0BEPAc4lDyI9fbAFuQrLC0hX1HlcymlO9pXQ01UEbEt+VTG/YGnAVuRB4y+E/gd8MWU0jXtq+G6iYiXka84ti/5suGbkweOXUge1PyLKaX721dDSZKkyc3EkSRJkiRJkkqtP/IkE8emm26adtlll3ZXo20eeeQRNtpoo3ZXoy2MvTtjh+6O39i7M3bo7viNvTtjh+6O39i7M3bo7viNvTtjh+6OfyLH/pe//OW+lNJWZWUdlTjaZpttuOaaju1tv856e3vp6elpdzXawth72l2Ntunm+I29p93VaJtujt/Ye9pdjbbp5viNvafd1Wibbo7f2HvaXY226eb4J3LsEXFbvTKvqiZJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSqUgptbsODdttt93SggULxmVdz30u3HQTbLTRuKyuIY899hhTp05tdzXawti7M3bo7viNvTtjh+6O39i7M3bo7viNvTtjh+6O39i7M3aYuPE/8gjMnAnLl4/dOnp7e+np6Rm7FayDiPhLSmmfsrL1x7synWL1ath8c/inf2p3TQbccce9bL/99u2uRlsYe3fGDt0dv7F3Z+zQ3fEbe3fGDt0dv7F3Z+zQ3fEbe3fGDhM3/h/9CNY3Q1LKzVLH1lvn2xe/2O6aDOjtvYWenon3ARsPxt6dsUN3x2/s3Rk7dHf8xt6dsUN3x2/s3Rk7dHf8xt6dscPEjf/GG9tdg4nLMY4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklRr3xFFEvDIifh0Rd0fEmohYFhEXRsQzx7sukiRJkiRJqm/9Nqxzc+AvwJeB5cBTgQ8Df4qIvVJKt7WhTpIkSZIkSaox7omjlNL3ge9XvxYRfwZuBg4GPj3edZIkSZIkSdJQE2WMoxXF/eNtrYUkSZIkSZKe1LbEUUSsFxEbRMQzgHOBu6npiSRJkiRJkqT2accYRxVzgecVjxcBL08p3TvcDDNuvx16ega/eMgh8N73wsqVcNBBQ2c6/PB8u+8+OPjgoeXHHgtvfSvcfjscdtjA69edne8vvR1e9zpYsACOPnro/CefDAccANddB8cdN7T8jDNg333hj3+Ek04aWn722TBnDlxxBZx++tDyc8+F3XaDSy9lzkc+AptuOrj8O9+BHXeECy6Ac84ZOv9FF8GWW8J55+Vbrcsugxkz4MtfhgsvHFre25vvzzoLfvazwWXTp8Pll+fHH/sYXHnl4PIttoCLL86PTzwRrr56cPkOO8D55+fHxx2Xt2G1XXeFr341PzzrLDj11MHlc+bk7Qdw6KGwbNng8he9CM48Mz9+85thxYrB5fvvDx/5SH786lfDqlWDy1/7WjjhhPy4tt3B2LW9iuOPh9e9julLl5avfxzbHp8uOYN0nNrejhdcMPS9H8e2x1FHwcKFg8u7pO21db8HbW977d7vdW3bmzVrQnzntqXtVfZ13dr29tknP+7C/d70I47ID7pwv7frzJkD73kX7ve2OPDAvN4u3O/N6esbaA9dtt+b09eXl9nu79w27ffm9PXlNjUBjjUGtb1KDuDVJ45Z25vT1wfPf377v3Mrba9B7UwcHQZsDDwNOAH4VUS8JKV0a/VEEXEUcBTAs6ZOpa+vb9BC7l24kDt7e5myejV715QB3H3zzdzd28vUBx9kz5LyO+bPZ3lvLxveey97VJXvMXU+APPm3caKWbOYvnQpu5XMf9v11/PA+uszc9Eidikp//u11/LQo4+y8Y038rSS8kXXXEN/Xx+bXX89O5WUL5g7l1V33cUW8+ax3dq1Q+K/6eqrWbN4MVvNn8/2JfPP/8MfeGyTTdj25pvZtqT8hquu4olp09hu4UK2Lim/rnLwvngxW9SUr121inlF+U5LlrBZTfljTzzB/KJ856VL2aSmfM3UqdxUlO+ybBkza8pX3nknCyvzP/74kNj7ly1jUVG+xz33sGFN+YNLl7KkKN9z+XKmPvTQoPIHlizhtqJ8r/vvZ701awaVr1i8mNuL8jkl22as2l7F7fPmsWLWLNLKlUNih/FtezuWlI9X29t6zZoh8Y9n29v1zjuZ0aa219/fX/rej1fba+d+r3/zzZnX5rbXzv1ef38/d7ax7UH79nv9e+/N3Llz2/6d246219/fT29vb9u/c9u13+vffXd6e3vb+p3brv3eypUr6e3tbft3bjva3mPTptE7Ab5zoT37vVWrV9Pb2zshjjXGu+2tXbv2yfe+2/Z7a9euZfEE+M5t135v7dq1zJ0gxxrVba+SA1hx//1j1vbWrl3LnRPgO7fS9hoVKaWmZhgLEbEpcCvwg5TSMfWm22233dKCBQvGq1oTTm9vLz1l2eguYOw97a5G23Rz/Mbe0+5qtE03x2/sPe2uRtt0c/zG3tPuarRNN8dv7D3trkbbdHP8Ezn2iPhLSmmfsrIJMTh2SqmPfLraLm2uiiRJkiRJkgoTInEUEdsAuwOL210XSZIkSZIkZeM+xlFE/Ai4FrgBeAjYFfg34HGgZFQsSZIkSZIktUM7Bsf+E3AIcDywAXA70AucWTswtiRJkiRJktpn3BNHKaVPAp8c7/VKkiRJkiSpORNijCNJkiRJkiRNPCaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKrX+cIUR8Y0mlpVSSv+8jvWRJEmSJEnSBDFs4gh4OZAaXFaj00mSJEmSJKkDDJs4SinNHqd6SJIkSZIkaYJxjCNJkiRJkiSVaipxFBEbRcT7I+KiiPhNRDyjeP1tEbH72FRRkiRJkiRJ7TDSGEdPiogdgV5gB+Bm4FnArKJ4P+AA4MgW10+SJEmSJElt0kyPo08Da4BdgecBUVX2W+AfW1gvSZIkSZIktVnDPY6AVwBHpZRui4j1asruALZvXbUkSZIkSZLUbs30ONoAeLhO2SbA4+teHUmSJEmSJE0UzfQ4ugF4M/DzkrJXA39pSY261HOeA8uXwy67lJcvWgTTpz+PW24Zn/U1Y9Ei2Gor+Otfx27dfX1z2HTT1qy/FfVp5folSZIkSZqomkkcfQq4KCIAvle89syIeAPwz8DrW1y3rrJ8OfT31y/v74c1azYYt/U1o9nltHLdo1l/rXWtTytjkSRJkiRpImk4cZRSuiQi3gt8AjiiePnb5NPX/iWlVNYTSQ2q9Hbp7S0v7+mBvr5VwIbjsr5m9PSM/bp7e6+jp86Kml1/K+rTyvVLkiRJkjRRNdPjiJTSVyLiO8CLgK2BFcAfU0r1xj6SJEmSJElSh2oqcQSQUnoEuGIM6iJJkiRJkqQJpKnEUURMAZ4PPBWYVlueUvp2i+olSZIkSZKkNms4cRQRzwR+DDwdiJJJEnnMI0mSJEmSJE0CzfQ4+nIx/SHAPGDNmNRIkiRJkiRJE0IziaPnAoenlC4Zq8pIkiRJkiRp4pjSxLT3AY+OVUUkSZIkSZI0sTSTOPos8L6IWG+sKiNJkiRJkqSJo5lT1bYCdgP+FhG/Au6vKU8ppVNaVjNJkiRJkiS1VTOJo5OrHj+jpDwBJo4kSZIkSZImiYYTRymlZk5rkyRJkiRJUoczGSRJkiRJkqRSzZyq9qSI2BqYVvt6SmnpOtdIkiRJkiRJE0LDiaOI2Bj4HPBWYMM6k3nFNUmSJEmSpEmimR5HXwLeDHwdmAesGZMaSZIkSZIkaUJoJnH0KuCDKaUvjVVlJEmSJEmSNHE0Ozj2gjGphSRJkiRJkiacZhJHPwBeN1YVkSRJkiRJ0sTSzKlqvwTOjohZwGXA/bUTpJR+3aqKSZIkSZIkqb2aSRz9pLjfGTi86vUERHHvVdUkSZIkSZImiWYSR/uNWS0kSZIkSZI04TScOEop/XYsKyJJkiRJkqSJpdmrqkmSJEmSJKlLNHOqGhGxJ3AksBswraY4pZT2b1XFJEmSJEmS1F4NJ44i4gXAb4FbgWcANwCbAU8FlgGLxqB+kiRJkiRJapNmTlU7A7gE2JN8FbV/TinNBg4gX03t9JbXTpIkSZIkSW3TTOJob+B8IBXP1wNIKf2anDQ6s7VVkyRJkiRJUjs1kzjaAHgkpfQEcD/wlKqyBcCzWlkxSZIkSZIktVcziaNFwPbF4xuAIyJiSkRMAd4N3N3qykmSJEmSJKl9mrmq2qVAD/A98nhH/ws8BKwFZgLvb3XlJEmSJEmS1D4NJ45SSqdWPb4iIl4IvBmYAfw8pfTL1ldPkiRJkiRJ7dJMj6NBUkp/Bf7awrpIkiRJkiRpAmlmjKN1FhEHR8TFEXFbRKyKiAURcWZEzBrPekiSJEmSJGlkDSeOImKDiDglIm6OiJURsbbm9ngDizmBPCbSScCrgHOAY4FfFYNsS5IkSZIkaYJo5lS1TwHvAy4HLgHWjGJ9r0spLa96/tuIuB/4Fnng7V+PYpmSJEmSJEkaA80kjg4GTkkpfXy0K6tJGlX8X3G//WiXK0mSJEmSpNZrJnE0E7h6DOrwsuL+ppEmnHH77dDTM/jFQw6B974XVq6Egw4aOtPhh+fbfffBwQcPLT/2WHjrW+H22+Gww4aWH388vO51sGABHH300PKTT4YDDoDrroPjjhtafsYZsO++8Mc/wkknDS0/+2yYMwceeABuuw16apZx7rmw226w4j5mLrkVek4YXP6d78COO8IFF8A55wxd/kUXwZZbwnnn5VvFdWfn+5W7wowZ8OUvw4UXDp2/tzffn3UW/Oxng8umT4fLL8+Pb7sVeg4fXL7FFnDxxfnxiSfC1VcPXvehZ8H55+fHxx2Xt2G1XXeFr341PzzrLDj11MHlc+bk7Qdw003Qc+zg8he9CM48Mz9+85thxYrB5fvvDx/5SH58ww3Q8/7B5a99LZxQbO/adgcDbe+JtXDDvKHvXYva3vSlS8vX36q2d8UVcPrpQ8srbe/SS+HTnx5aPtq2V3HZZQ21vR0vuGDoe1/d9j72MbjyysHl9dpexQ47NNz2OOooWLhwcHl12zv0UFi2bHB5M23v1a+GVasGlzfa9jp9vzdc24O2t70R93u2vaHlrWh7s2a1t+21c79X2dd1a9vbZ5/8uAv3e9OPOCI/6ML93q4zZw68512439viwAPzertwvzenr2+gPXTZfm9OX19eZru/c9u035vT15fb1AQ41hjvtjenrw+e//z2f+dW2l6DmkkcXQq8lBaeThYR2wOnAVeklK6pM81RwFEAz5o6lb6+vkHl9y5cyJ29vUxZvZq9a8oA7r75Zu7u7WXqgw+yZ0n5HfPns7y3lw3vvZc9SspvnzePFbNmMX3pUnYrKb/t+ut5YP31mbloEbuUlP/92mt56NFH2fjGG3laSfmia66hv6+P7TeZxcZTbx4S34K5c1l1113ssPEMZk5bMKT8pquvZs3ixWw1fz7blyx//h/+wGObbMK2N9/MtlXle0ydD8BVV93NE9Omsd3ChWxdMv91lYP3xYvZoqZ87apVzOvtZcstd2HW8luG1O2xJ55gfjH/zkuXsklRXln3Pffcw01F+S7LljGzZv6Vd97Jwsr8jz8+ZPn9y5axqFj/5hveNKT8waVLWVLMv+fy5Ux96KFB5Q8sWcJtxfxbbvC3IfOvWLyY24v555Rsm0rb22rz2Ww5df6Q+VvV9tLKlUOWDa1re5tdfz07lZRX2t4W8+axY0n5aNtexQ1XXdVQ29t6zZoh8VfaHsBOS5awWYNtr2LN1KkNt71d77yTGXXaHsAe99zDhqNsewB73X8/660ZfOZvpe319/eXvveTZb83XNvr33xz5rW57Q2334OxbXv9/f3c2ca2B8Pv98ay7fXvvTdz585tW9tr536vv7+f3t7etrY9aN9+r3/33ent7W1b22vnfm/lypX09va2/Tu3HW3vsWnT6J0A37nQnv3eqtWr6e3tbet3brv2e2vXrn3yve+2/d7atWtZPAG+c9u131u7di1zJ8ixxni3vbVr13LnBPjOrbS9RkVKqX5hxNOqnm4FfBv4LnAZcH/t9Cmlvze84oiZQC+wHfD8lNKy4eeA3XbbLS1YsKDRVUw6vb299JRlo7uAsfe0uxpt083xG3tPu6vRNt0cv7H3tLsabdPN8Rt7T7ur0TbdHL+x97S7Gm3TzfFP5Ngj4i8ppX3KykbqcbQIqM4sBXAqcErtOorp1muwQtPJPZieBryskaSRJEmSJEmSxtdIiaMjGJw4WmcRMRW4CNgHeEVKaV4rly9JkiRJkqTWGClx9G3gNcCSlNKNZRNExF7A7JTSpSOtLCKmkE91eznw2pTSn5qsryRJkiRJksbJlBHKDwW+DzwyzDQPA9+LiLc3sL4vAW8BPg08EhEvrLrt0FCNJUmSJEmSNC4aSRx9M6W0pN4EKaVbgW8A72pgfa8u7v8TuLrmdmQD80uSJEmSJGmcjHSq2nOBLzSwnCuAd440UUppdgPLkiRJkiRJ0gQwUo+jWcADDSzngWJaSZIkSZIkTRIjJY7uA3ZqYDlPLaaVJEmSJEnSJDFS4uj3NDZ20eHFtJIkSZIkSZokRkocnQ3sHxGfjYgNagsjYmpEnA28HPhs66snSZIkSZKkdhl2cOyU0tURcTzwaeCdEfFL4LaieCfgFcAWwPEppT+NaU0lSZIkSZI0rka6qhoppbMj4lrgQ8A/AdOLolVAL/CJlNLvxqyGkiRJkiRJaosRE0cAKaWrgKsiYgqwZfHyipTS2jGrmSRJkiRJktqqocRRRUrpCeDeMaqLJEmSJEmSJpCRBseWJEmSJElSlzJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSq1frsroHLPeQ4sXw677JKfL1oE06c/j1tuGZvlt9KiRbDVVvDXv7Zu3X19c9h009GtrxXrb0ar61Mde7PLliRJkiRpXZg4mqCWL4f+/oHn/f2wZs0GY7b8Vhppua1ed7PLGsvYYWzrM5b1liRJkiSplomjCarS+6S3N9/39EBf3ypgwzFZfiv19LR+3b2919FTZ8Ejra8V629Gq+tTHXuzy5YkSZIkaV04xpEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUuOeOIqIHSLiCxFxdUSsjIgUEbPHux6SJEmSJEkaXjt6HO0CHAI8APyuDeuXJEmSJElSA9qROLoqpbRNSukg4IdtWL8kSZIkSZIaMO6Jo5TSE+O9TkmSJEmSJDXPwbElSZIkSZJUav12V6AZM26/HXp6Br94yCHw3vfCypVw0EFDZzr88Hy77z44+OCh5cceC299K9x+Oxx22NDy44+H170OFiyAo48eWn7yyXDAAXDddXDccUPLzzgD9t0X/vhHOOmkoeVnnw1z5sAVV8Dppw+8ft3Z+X7BdNhtN1hxHzOX3Ao9Jwye/zvfgR13hAsugHPOGbr8iy6CLbeE887Lt9rlr9wVZsyAL38ZLrxw6Py9vfn+rLPgZz8bXDZ9Olx+eX78sY/BlVcOXvabPwYXX5wfn3giXH314PJDz4Lzz8+Pjzsub8Nqu+4KX/1qfnjWWXDqqYPL58zJ2w/gppug59jB5S96EZx5ZlGXN8OKFYPX/7FL4SMfyY9f/WpYtWrw/K99LZxQbO/adgf1215l+edd11jbW7MabroZeo4bXF60velLlw6sv7LsnuPGru1VnHtubnuXXgqf/vTQ8tG2vYrLLmuo7e14wQVD3/t6ba9iiy3K217FDjs03PY46ihYuHBweXXbO/RQWLZscHm9tlex//5j0/YqOnW/V3Huufm+zW2vqf1ehW1v3dverFntbXvt3O9V9nXd2vb22Sc/7sL93vQjjsgPunC/t+vMmQPveRfu97Y48MC83i7c783p6xtoD12235vT15eX2e7v3Dbt9+b09eU2NQGONca77c3p64PnP7/937mVttegCZ84ioijgKMAnjV1Kn19fYPK7124kDt7e5myejV715QB3H3zzdzd28vUBx9kz5LyO+bPZ3lvLxveey97lJTfPm8eK2bNYvrSpexWUn7b9dfzwPrrM3PRInYpKf/7tdfy0KOPsvGNN/K0kvJF11xDf18fm11/PTtVle8xdT4Ac+euZdVdd7HDxjOYOW3BkPhvuvpq1ixezFbz57N9yfLn/+EPPLbJJmx7881sW7L8q666myemTWO7hQvZumT+6yoH74sXs0VN+dpVq5hXlO+0ZAmbFeWVZS9fvpz5RfnOS5eySU35Pffcw01F+S7LljGzZvkr77yThZX5H398SOz9y5axqLeXLbfchc03vGlI+YNLl7KkmH/P5cuZ+tBDg9a/ZMkSbivK97r/ftZbs2bQ/CsWL+b2onxOybap1/Yqy7+5wba3zWbbsfnU+UPqX2l7aeXKJ8sqy+7r6xuztlexYO5cVt11F1vMm8eOJeWjbXsVN1x1VUNtb+s1a4Zsm3ptr+KxJ54obXsVa6ZObbjt7Xrnncyo0/YA9rjnHjZssO1VPNBg2+vv7x8SO0ze/V7Fgrlz6d98c+a1ue01s9+raFXb6+/v5842tj1obr9X0Yq217/33sydO7dtba+d+73+/n56e3vb2vagffu9/t13p7e3t21tr537vZUrV9Lb29v279x2tL3Hpk2jdwJ850J79nurVq+mt7e3rd+57drvrV279sn3vtv2e2vXrmXxBPjObdd+b+3atcydIMca49321q5dy50T4Du30vYaFSmlpmZopYg4EvgasHNK6daRpt9tt93SggULxrxeE1Vvby89ZdnoLmDsPe2uRtt0c/zG3tPuarRNN8dv7D3trkbbdHP8xt7T7mq0TTfHb+w97a5G23Rz/BM59oj4S0ppn7IyxziSJEmSJElSKRNHkiRJkiRJKtWWMY4iojJ61/OK+1dHxHJgeUrpt+2okyRJkiRJkgZr1+DYP6x5/uXi/rdAz/hWRZIkSZIkSWXakjhKKUU71itJkiRJkqTGOcaRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklQqUkrtrkPDIuJhYEG769FGWwL3tbsSbWLs3aub4zf27tXN8Rt79+rm+I29e3Vz/Mbevbo5/okc+04ppa3KCtYf75qsowUppX3aXYl2iYhrujV+Y+/O2KG74zf27owdujt+Y+/O2KG74zf27owdujt+Y+/O2KG74+/U2D1VTZIkSZIkSaVMHEmSJEmSJKlUpyWOvtruCrRZN8dv7N2rm+M39u7VzfEbe/fq5viNvXt1c/zG3r26Of6OjL2jBseWJEmSJEnS+Om0HkeSJEmSJEkaJxM+cRQRO0bERRHxYEQ8FBGXRMRT212vVouIgyPi4oi4LSJWRcSCiDgzImbVTLdZRPxPRNwXEY9ExBURsVe76j1WIuLnEZEi4vSa1ydl/BFxUERcFRH9RTu/JiJeXlU+KeMGiIgXR8QvI+LeiHg4Iq6NiCNqppkWEZ+KiLuKz8fVEfHSdtV5NCJih4j4QlH3lUX7nl0yXUOxRsSUiDgxIm6NiNURcX1EvHlcgmlSI7FHxD4R8dWIuLmYZmlEfDcidi5Z3qSKvWSeDxfT/b6krGNih+bij4g9IuKHxX6u8j34gZppOib+Jj7zT42IbxVtflVELIyI0yNio5Jp31N8RtYU2+eYcQmmSdHi3zSd9B3QSOwRsX9EnB8Ri4tpFkfEORGxdcnyJlXsJfN8pfhsnF9S1jGxQ3PxR8QLI//W7Sva/ryIeFvNNB0TfxOf+T0jH8vdWcQ9PyJOiIj1a6brpH39KyPi1xFxd7FvXhYRF0bEM2uma+iYttH94kTRSPxNfjY6Jv5G3/uaeUqPcYuyiR17SmnC3oAZwC3AjcAbgTcA84DFwEbtrl+LY/0TcCHwTuBlwHFAX/H6lGKaAH4PLAPeDrwK+C1wH7BDu2No4bZ4O3AXkIDTq16flPEDRwOPAZ8FXgG8EvgQ8NrJHHcR297AKuA3xef7FcC5xXt/bNV03y0+D+8B9gcuKeab0+4Ymoi1B7gHuAz4RRHj7JLpGooV+DiwBjgB2K/Ybk8AB7U71tHEDpwF/AF4b7EPfAdwE7AC2HEyx14z/dOA/mKe35eUd0zszcQP7AM8BPyU/H2/H3AU8O+dGn+D7X4jYCGwBHhXEdN/FJ/5C2qmfU8R68eL6U4vnh87XjE1EXtLf9PQQd8BDcb+Q+By4N3FNEcCdwB/B2ZO5thrpn8xeX/3IHB+SXnHxN5M/MBrgEeB84CDgAOA9wOHd2r8Dbb77YDlwHXAIcDLyfuzJ4BP1iyvk/b1bwc+BRxcxH4YMJ/8nbZTMU1Dx7R04G/+BuNv9LPRUfE3EnvJ9EOOcTsl9rZXYIQ34wPAWmCXqtd2Bh6n5sdkp9+ArUpe+39Fw3p58fwNxfP9qqbZBLgf+Hy7Y2jRdtgMuLv4wNQmjiZd/MBs8o+A44aZZtLFXRXHGeQfT7U/lK8Gri4eP7uI/91V5esDC4CftjuGJmKt/mI8kvKDyIZiBbYm/6D6r5r5rwRuaHeso4y9bB+4E/mH4mmTOfaa6X9B/oHcS03iqNNib+K9nwL8DfjRCMvqqPgbjP3A4vUDa17/BPm3zozi+frAvcC3aqb7BvlH5dR2x1tTr5b9pum074AGYy+b5qXFNEdM5tirXp9KPog+EbiVmsRRp8XexHs/q/gsnz3Csjoq/gZjP6p4vmvNdD8A7qp63lH7+jrbY7ci1uOL5w0d0za6X5zot5L4G9o3TIb4a2Over3uMW6nxD7RT1V7PfCnlNKiygsppSXkf6Xf0LZajYGU0vKSl/+vuN++uH89cGdK6TdV8z0IXMrk2R6fBG5MKX2/pGwyxn8E+cD4K8NMMxnjrtiA3NtqVc3rDzJwKu3ri2kuqBSmlB4n/9B4ZURsOA71XGcppScamKzRWF9J3na1XfvPB/aKktO72qmR2Mv2gSml28j/Tm5f9fKki70iIt4BPJd8IFWmo2KHhuPvAfYAPjPCdB0Vf4Oxb1DcP1Tzeh95HxjF8xcBWzE09u8AWwAvGV0tx0aLf9N01HdAI7E3uH1gEsZe5YPAeuTepmU6KnZoOP63kD/Lnx5hcR0Vf4Oxj7S/q+iofX0dK4r7x4v7Ro9pJ8tv/kHxN7nP6/T4a9/7iuGOcaEDYp/oiaM9yf9G1JoP1D13cBJ5WXF/U3E/3PZ4akTMHJdajZGIeAk5+/y+OpNMxvhfAtwMvC3yGAePR8SiiKjeBpMx7orzivvPR8R2EbFpRFS6ZH+2KNsTWJJSWlkz73zyD4tdxqWm46PRWPck/xu3qGQ6mCT7x4jYg/zP401VL0/K2CNiM3Kb/4+U0v11JpuUsTOQ9JgWEX+KiMcij3n2+YiYXjXdZIz/CvLpC5+MiGdGxMzI49t9APhKSumRYro9i/va74JOin20v2kmw3dAbeyNTjMpY4+IXYCTgfemlB6rM99kiB2Gxv8Scg+CvYpxjR6PiNsj4pSIWK9qvskQf23sPyT3kPxiROwcERtHxD+RT++pTqR15L4+ItaLiA0i4hnknsN3A5UkQaPHtB37m3+E+MvU2+d1XPwjxd7AMS50QOwTPXG0OfBAyev3k7t7TVoRsT1wGnBFSuma4uXhtgd08DaJiA3IH7SzUkoL6kw2GePfDngG+fzYT5BPW/gV+Uv1A8U0kzFuAFJKN5J7G7yBPL7DA8CXgGNSSj8oJhsp/s3HuJrjqdFYNwf6UtGPdZjpOlYxUOZXyD2Ovl5VNFlj/xR5rJvzhplmssa+XXF/AfBL8lhn/00+vet7VdNNuvhTSqvJB5JTyD8OHyafjvEz4F+qJq3EVrt/6IjY1/E3TUd/B9SJvXaaWcDZ5AOoH1cVTdbYzwEuqf5nvURHxw5149+OPN7N98j7+wOAbwEfYXDvq46Ovyz2lNI95N6Te5DH83oQuJg8vtF/V83eqfv6ueSE10LyGJ4vTyndW5Q1ekzbyb/5h4t/kGH2DZ0af93YGzzGhQ6Iff2RJ9F4KzKKPyF3cXt3m6szXv4DmE4eDK+bTCGf7354SumS4rVfR77yzokR8fm21WwcFJn5i8kHTMeQT1l7A/CViFidUvpuO+untvoisC/wmpRS2RfppBER/0j+J+q5JT+Uu0HlT6zzU0ofLR73Fv++fyIi9kgpDddTo2NFxDRywmxr8r/uS4HnAx8l/wY4tn21a40u/U0DNBZ7kST/Pvl0jRcXpyN1vHqxR8ShwD+QxwGZtIZ576cA04D/TClVTs/tjYgtgPdFxKnF6Skda5j3fivyAN+PkAcTXkEeIPvkiFiTUvpkG6rbSocBG5MvcnEC8KuIeElK6da21mr8NBT/JP1OGC72SXOMO9ETRw9Qnl2rl5HreEW3/EvJDe9lKaVlVcXDbY9KeceJfCnK/yT/u7xhzXnbG0bEpuR/YSdj/CvIPY5+VfP6L8mj6T+FyRl3xRnkc/hfW9Vd/criB9TnIuL75Ph2Kpm3En+903o6UaOxPgBsGhFRk2iYFNskIj5BHkTzXSmlX9YUT8bYzyX3qlpW7O8gfz+vVzxflVJaw+SMHQbGAyjbD34CeA65J8ZkjP+fyb0ud0kpLS5euyoiHgS+GhFfSSldz8B+fjPyFVkqJnTsLfpN05HfASPEXplmCrm3yQHkJPkNNZNMqtiLA8bPkMf6WFO1v5sCTC2eP1L8HujI2GHE9364/d0x5NNV/kiHxj9C7P9BvijMTlV/CFX+JPhYRHw9pXQfHbqvr/qDY25EXE4e9P3D5Pe10WPajv3NP0L8QEP7xY6Mv17sEXEGDRzjppTW0gGxT/RT1eYzcF5/tWeSr8AyqUTEVOAi8mWJD0opzauZZLjtsTSl1D/GVRwrTyP/+3I++UNRuUHO2j4A7MXkjH/+COVPMDnjrtgLuL5kjIM/kwd83Zoc/84RMaNmmmeSr8hWew58J2s01vnAhsDTS6aDDt4/RsR/Ah8C3p9S+k7JJJMx9j0Y+GFZub0YeGHxuNLrZDLGDo3tByvTTbb49wIeqEoaVfy5uN+juK9so9rvggkbewt/03Tcd0ADsVd8BXgr8LaU0pUl5ZMt9i3JA0OfweD93Y7ky7M/QL5UPXRg7NBwux9O9f6uo+JvIPa9gEUlvYj/TL7KXmXcpo7f16eU+sjvUXVMjRzTTorf/CXxN7pf7Pj4a2Jv9BgXOiD2iZ44+inwwoh4WuWF4hSeFxdlk0bxr9N3yV0235hS+lPJZD8Fto+Il1XNtzHwOjp7e1wH7Fdyg/xB24/8AZyM8f+ouH9lzeuvApallO5mcsZdcTcwpzj/t9oLgNXkf5UuJf+geEulsOja/1bgl0VPjMmi0Vh/Tu6p9c6a+Q8lX7FhyTjUteUi4v3A6eQu/F+sM9lkjL1s/3c9eZDE/cg/tGByxg5wOXlsgLL9IEBl/IPJGP/dwGaRBwuu9oLi/o7i/mryoLJlsd9PvjLPhNHi3zQd9R3QYOxExKfJ/0K/O6X04zqLm2yx3035/u4e8kDx+wG/L6btqNih4ff+x8V92f5uNQOD43ZU/A3GfjewS+SLQVSr3d91/L4+IrYBdgcqfwo0ekw7KX7z18bf6H6RSRB/TezX0dgxLnRC7CmlCXsDNiJvzHnkcU9eT/4x/XdgZrvr1+JYzwES+aDphTW3HYppppC7r94OvI38pdNL/tG4Y7tjGINtkoDTq55PuvjJl1r+Nbnr8jHkwbG/VsR++GSNuyr+g4tYf1F8xg8kj22TgM9UTfcDclb+SPIV1y4i/8B6brtjGEW8B1d93o8tnr+s2VjJp/CsBv6dfKrLOeR/Kl/b7jhHE3vRtp8gJxFq94HPnMyx15mnF/h9yesdFXuj8QOnkMc7OIN82s6HyWOendfJ8TfQ7meTL029EHgX+UfkB4vXrgGmVC3rmCLW04vYTyuev6/dcZbE3dLfNHTQd0CDsX+omObrJdM8fTLHXme+W8ljnNW+3jGxNxM/8E1gJfnUrQOK/dpa4NROjb/Bdv9CckLo/8g9zPYHPkbuQXVJzfI6Zl9P/hP4I+TfsfsBR5OvmNwH7FpM09AxLR34m7/B+Bv9bHRU/I3EXme+Qce4nRJ72yvQwBvyVPLguQ+Rx7n5MTC73fUagzhvLRpR2e3Uquk2B75RNKKV5KuvPLvd9R+jbVL2oZp08ZMHU/sS+R+3R4EbgHdM9rirYnt1sWNcXnzGrwPeC6xXNc108rgId5N/SMwFetpd91HEWu8z3ttsrMB65MsZ30burXEDcHC7Yxxt7OSry4y4fSZj7HXm6aU8cdRRsTcaPzmJ/u/kH9aPFvGdBkzt5PgbjP2ZwIXkH4uryEmks4DNSpZ3dFG+BriFfDnztsdZUs9bh4n91KrpGvpua3S/OBFujcRefL7rTXPeZI59mPnKEkcdE3sz8QMbkA+gby/2dwuBD3Ry/E3E/kLgMvJYbY+QT885GZhes7yO2deTE8F/IScLVgILyGMXzq6ZrqFj2kb3ixPl1kj8zewbOin+Rt/7kvmGHON2QuxRVFKSJEmSJEkaZKKPcSRJkiRJkqQ2MXEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiSts4j4WkSkiPhsnfJTi/L1x6k+PcX6ekYx7xsj4t9bXJ85xTbYvKQsRcSprVzfaBV1qdwOH4Pl71CzjgNavQ5JktRaJo4kSdI6iYjpwCHF03eMV3JoDL0RaGniCJgDnAIMSRwBLwL+p8XrWxdfJ9fpf8dg2fcWy37fGCxbkiSNARNHkiRpXb0R2Bi4DNgaeFVba9NhUkp/Sikta3c9qiwr6rS81QtOKT2aUvoT8LdWL1uSJI0NE0eSJGldvQt4ADgcWFU8r2ePiPhNRKyMiLsi4rSIePL3SETMjIgvRMTSiFgTEfdGxBURsXvVNBtHxBcj4s5imgUR8W8REcNVMiJujYjzSl5/8lSxovxdwPZVp1PdWjXtVhHxlYi4o1j3zRFx1AjrPRz4ZvH0lqrlzq5df/G8clrf7hHxi4h4pNge7y7KDyvW219sy6eXrPOoiLg+IlZHxH0R8fWy0+QaFRHnRcSyiHhORPyueP9uiYhjaqbbNiK+VfXe3BURP4uIrUe7bkmS1F6d3pVckiS1UURsBxwAfC2ltDwifgy8KSI2Syk9UDLLj4FvAGcCrwQ+AjwBnFqUfxZ4PXAScAuwBfBiYNNifVPIp1A9F/goMA94DfAZYKtivnXxsWI5/1DUA2BNse6Ngd8D04v6LiliOCciNkwpfaHOMv8XOB04GXgLUOlddNcIdfkh8DXgLOC9wDci4hlAD/BhYCrwOeB7wAsqM0XEJ4Djgc8DHwS2L9b/rIjYN6W0doT11rNxsa6zgdOAd5NjX5BS+k0xzXeAnYr13g5sA+wPzBjlOiVJUpuZOJIkSeviUGA94NvF828BbwfeCnylZPqvpZQ+UTz+ZZGMOT4izk4p9ZHHv/luSunrVfP8qOrxQcBLgHenlM6rWs5GxXI+k1K6b7TBpJQWR8RyoHJKVbUPkJMie6WUbileuyIiNgVOiYhzUkqPlyxzeUQsLp5el1Ja1GB1PpVS+jZARFwDvA44Gtg5pfRQ8fpTgM9FxE4ppduKXkwfBP4rpXRaZUERsZCc9HodOXk3GrOA91aSRBFxFTlx9nagkjh6EXBSSum7VfP9cJTrkyRJE4CnqkmSpHXxLuCWlNLVxfMrgDupf7rahTXPfwDMBJ5VPP8/4PCIOCki9omI9Wqmfym5h9L3al4/H9iAnLgYK68C5gJLImL9yg34Bbln1DNbvL7LKw+K3lv3An+qJI0KNxf3Oxb3ryD/vvtuTR3nAg+Tt99orazqWURKaQ2wEHhq1TT/B3wwIj4QEXuNdPqgJEma+EwcSZKkUYmIfcjJkksiYtOi580s4BLghRGxa8ls99R5vn1x/6/AucAR5CTEvRHx2YionOq0OXB/SunRmuXcXVU+VrYmJ14eq7lVetRs0eL11Z7q92id1wCmVdURYBFD6zlrHetYdurhmqp1Q+5p9lPgP4AbgDsi4qPV41hJkqTO4qlqkiRptCq9ij5U3Gr9P/K4PtW2Af5e8xzgDoCUUj9wInBiROwEHAx8gpwg+RBwP7B5RGxQkzzatri/f5j6rib3SnpSRDSTSFlB7vXzgTrlC5pY1lhZUdwfSHmiZ0XJay2TUroXeB/wvojYjdxG/gtYDpwzluuWJEljw39/JElS0yJiA/LYNnOB/Upu1wGHlZyqdEjN87cB/eRBrgdJKd2WUvp0UVY5le235N8vb6mZ/J3k5NLV1Hdb1XIqXlMy3RryANi1fg7sDixNKV1Tcnt4mHWvKe7LlttKvyKfyvfUOnVcMsbrf1JKaUFK6SRyAqt2u0uSpA5hjyNJkjQaryGf9nR8Sqm3tjAiziX3MOlhYOBkgPcUpy39H3lg5SOBU1NKDxbzXU0+1WkeOaH0MuDZ5EG3IY/783vgKxGxFTCfPGD2kcCZIwyM/QPylck+C/ysWO7hJdP9jdyr6VjgGmB1Smke+YpvbwV+VyxjAbAROZn0jymlNwyz7r8V9++LiG+RTx27oeSUu3VSDO79SeCLRY+f35J7Wu1IHv/of6rHKWqliNiEPMbVd8ljLz0GvAHYDPjlWKxTkiSNPRNHkiRpNN5FHmy53hWzvg98ppiuOlHxBuALwEeAB8mXif9YVflV5F5JHyb/Tvk78G8ppc8DpJSeiIjXAGeQT13bArgV+HfyZeKH8y1yAuWfyVcn+x3wT+TxgKr9D/DCYh2bknsqzU4pPRgR+wIfLda9PdBHTiBdPNyKU0rXR8SpwFHAe8i9pnYu6t5SKaWTIuImilPGgATcDlwJ3DLcvOtoNXAtOb6dyD2fFgDvTCn9ZAzXK0mSxlCklNpdB0mSJE0AEZHIibzTgLVpDH4oFld5exm5d9IrUkpXtHodkiSpdRzjSJIkSdU+Qj7N7F0jTdisiNihWLbJIkmSOoSnqkmSJKniH6oej8VA2vfUrGMiXIlOkiQNw1PVJEmSJEmSVMpT1SRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKnU/weMHscQxoOPlQAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE3', 8.75), ('RE2', 17.5), ('RE1', 18.75), ('FE1', 20.0), ('FE2', 20.0), ('RE1', 26.25), ('RE2', 26.25), ('FE2', 32.5), ('FE1', 33.75), ('RE1', 36.25), ('RE2', 36.25), ('FE1', 42.515625), ('FE2', 42.515625), ('RE1', 46.265625), ('RE2', 47.515625), ('FE2', 52.515625), ('FE1', 53.765625), ('RE1', 57.515625), ('FE1', 61.265625), ('FE3', 332.5)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE3', 8.75), ('RE2', 17.5), ('RE1', 18.75), ('FE1', 20.0), ('FE2', 20.0), ('RE1', 26.25), ('RE2', 26.25), ('FE2', 32.5), ('FE1', 33.75), ('RE1', 36.25), ('RE2', 36.25), ('FE1', 42.515625), ('FE2', 42.515625), ('RE1', 46.265625), ('RE2', 47.515625), ('FE2', 52.515625), ('FE1', 53.765625), ('RE1', 57.515625), ('FE1', 61.265625), ('FE3', 332.5)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 8.75), ('RE2', 8.75), ('FE2', 11.25), ('RE2', 17.5), ('FE2', 51.25), ('FE1', 108.765625)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 10.0), ('RE3', 10.0), ('RE1', 11.25), ('FE1', 567.5), ('FE3', 621.25), ('RE3', 625.0), ('FE3', 631.25), ('RE2', 643.765625), ('FE2', 650.015625)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 2.5), ('RE3', 2.5), ('FE1', 273.765625), ('RE1', 277.515625), ('FE1', 282.515625), ('RE1', 287.515625), ('FE1', 292.515625), ('RE1', 298.765625), ('FE1', 300.015625), ('FE3', 336.25)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 27.5), ('RE3', 27.5), ('RE2', 322.5), ('FE2', 330.0), ('RE2', 333.75), ('FE2', 340.0), ('RE2', 343.75), ('FE2', 350.0), ('FE3', 351.25)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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wePjJVNIDJKX0e3pOw2hcf5di/ceBVld7q/UeODj6GTh5kEpPA4uIzenpQfnJlNLKxmVSStcBPywevrHFc3wipZRK5v+q7n7ZODdryUk26NvGhlpt/J0++92gVr5Jw/zBrk/kMcROIvfsem8/22lbRDyfngGnv5sGdnrXYA06PuQrvf0r8IuU0ncHUIcBrV+0y1rbfWPRO7eXoqdg/SlYpWOBFWqnmD5UN+9G4J0ppRtbrHc+uffeGSmlW9upe5vqY93q9akv26TJ/YGsD7mX83+S/xybknIP3E3J30sWkXtknhsRhyFpQjNxJGm0q/9ROq1u/reAfVLFS2CnfMWb2g+kX0bEhyPiORExuSO1zf+qlqkf1LO+q/lT6Bmj5Q8ttts18CrlKwVFxHsi4g+RB8V+tG5A3fovla0GB626b7vWPW71g6lTP6YOSClFk+mc2kIRsV5E/FtE/DQilhQDCKe6ePxrsWjLgVKHQLP4Qk+Mt2yY/6zidsjaTp0PtYhvbbqtbvnBvv770DOW2UD2r3Z60HrA3xuS0OsmesYP2Yh8+uZQWEX+gVbmWfTs5xUttvGb4vYZxelPZf6vyfx7itvlLX741pYpu2rZuFUc+y8gt5N3pvLBuQey3d3Jyb7J5B4tb2u9xuhUnKr0IfI4XicM9/rAmeReiVOAX0XEIRExrfhMO5x8KurjdcuX/bkBQErpBSmfSroZ+b3+H8XtbyMPlL9B4zoRcRR5nLnrGf7TqodcSulzKaUvppRuLxJ1pJRWpnxFwOfQ86fF2QMdPF/S+GDiSNKoVvtBSj5ePZk8cGk3+Uoi/Y3J08xx5F4lWwPvB/4CPBwRfyqSK40/zqvU9+Em8+u/2Nb/6Nu67n6fK8bUqZQgq1eMWfJ38iWrX1g852P0/Pt6T93iTXvmDGDf6geYblX/pS3KOqoYjPQK8qWUDyWPG7MeuXt+LRa1AY/b6qXUQaXxLdRi3JgwqLWfIWk7gzTY13+w740nF7fr0bqX1PS6deqT0510f5PeelA9ThvQN4EINH+P0tN+BtLGhlqtTv3FvlbeuA+DXf8D5LFffpJSurSfbbSlOOb+jtyG5wMHt3hthtqA41MkCr5G7k16emo+uHapwa4PkFK6nnxK7iryoPE/JyehHgJ+QB4L7t11qzzQ5naXp5QuICeYHyEPlP/2hvpvSx5jbS35dOfHG7czSPVtotXrU1/2cJP7A1m/pZTS/fQMEr8zOZkvaYIycSRpTEjZXSml88mXF07A/0bEgf2sWratJeR/+V8GfI58NbP1yF8g/xdYOJDtdkDZKSad8HVy75nbyKc2bZXyoNDbpDzAb/3V0Mb7P4r/Qx4XZxX5cso7AxumlLYq/onejp6eP2MpFkPVdkaLgexf7bSze9roKVXWY6qThvJy62NdLSm4RTFAdTO141RjEvHOhvK214+IGeRT01YA742IjRunuvUnl8zro0ga/Z58KvQCck/Iu/up21DqNz5FQn3zhuUh/0HzAvIfLReUxKb+9ZpazJ/awfUBSCn9gJzcOxu4BlhCHmj8i+RTK+fWLb6g2X6WKZJZtdNAj28o/ji5R9KXgXkl9V/XU7lufpXey/WxbtV+68vubHK/nfUfSvkqa1XMqbvf51RBSROHiSNJY05KqYt8aekAPj+QcUlSSk+klH6VUnpXSmlf8j/4byJ/Id0CuKiDp6+1Un9J3yc3Xar/H0WlImJHesbqeWNK6ZKScZRajWs0GPVj2rT7pXiovaG4/XBK6ZyU0pKSMWGGKh5DodZ+Ot52OmCwr/9g3xu1H+vTI2K4e49VUR+nVqdH1spqA9iOF/VXg9qr6VI9ZXMb5tfW3yYitqZE8Rmxe8n6O5B7cG1EHjPv4ZKp5tTavGJcqrLnqSWNnkwe6PyAlNJdLfZpONTi005soXd8di1unwk8SN/YXF637OXFvDkdXH+dlNJtKaVTUr6i4c4ppWeklP6zSPbWroh41wCTv7WefjMa5tfqf0JJ3R8mt4ma2rz/rfC8t9Bzal07r8/dDZ/fVd87f69QN0nqxcSRpLHqw+R/8Z8OvHmwG0spPZxSuog85gHkU1j2Hux223Ar+dQ7yFeYaaZVWSs71t2/rskyBw9w2/1ZTM8P3ANaLDecvbtq8SiNRTGgcuOPh9GsNm7O7BbLtCobSoN9/a+jp6fR7BbrNyu7qrhdH3h5i/VH2rX0/Hg8qMVytffpDSmlx1osN9b8idwDEHIv0D4iYmd6LrP+64bi39TdL12f3Ju0Nihw4/odUSSNushJowXkq4S1OsVyuNTis0dE7NRkmVrcVpFfjzGjOB3uTcXDb7VatoVaT5phPZ2wGAi/dpxq1vaDnsHzG9vuAvKfXa3W34jc66ts/XY8t+7+4qZLSRr3TBxJGpNSSouAi4uH728xWGwvbfQiWlV3v+kgm51S9HapdZN/e0T0GZi2GFz0iAE+xYN1959Zsu1NgNMHuO2Win2rXQ3u7RExvXGZiHg6cPhQPH8TtXj0iUXh48NVkQ6pXZHshRHxvMbCiJgCnDK8VcoG+/oX/6z/vnh4ctl7NyJeSM+Posb1/0HPwNkfjYjNWtV3MGObDUYxGHPtylHvKU4b6iUinknP1RcHclWrUSultAKojS10QpPXqXals4eBHzesfys9yY6Tm3wWvK+4vR24sm7drv5OX6zbRv3g8N31G69LGtWfnjYakkYAPyLHLeiJwzpF76na2D6XFq8HACmlM/qJTX1CuHZxglmdWr9N/01Pj6bPlexfnwGvG8qfTr7cPTQMtJ9Smt1P/T9Ut2xt/kkV6//N4vaAyFf3a/R6ehJbvRJjxTG2Nu8NxR8fjd5BHgdqLXlsv3X6G+y6OCaeVjy8g+Z/PkmaAEwcSRrLziL3SNiFnp5C/dk/Im6MiP+OiD0iYj3IX6AiYn/gvGK5peTL9A6Hs8gJq22BX0fEPnV1OpD8o7K/Syk3cws9/0heEBHPrhVExH7kL8pDeRWls8g/WqYDv4l86eTavr0E+AUD37eBqF1B6/SIeF3tR0VE7BoRF5ETdG0NrjpKXEw+tSSAH0bEq2unbkbETOBnjOypd4N9/T9Ifo/vBfy0SKISERtExOvICYdWr9c7yQPf7gb8pYjPhrXCiNg+Io6OiN8CnxjoTnbA6eRB2WeQrxy1d1G/9SLiEPJpPBuQL499/ojVsoWImF4/1RVt3FBWNojvB8jjDD0JuKzudd4oIj5AT2LjzJRS2ev9XvIP42cC34uI7Yv1t4yIc+npcfb/UnHlqE6JPE5SbUyj+Qygp1FETGmI3cZ1ZdMbpkrf3Yt4nVk8fHtEfKB26maR8LqsqPsK8usw6kTEpyPixfVJxYiYWby2Z5OPEe9oEvf5EfHuiNi9PnYRsU1EnEC+YuOGwBrgI0NQ92Oi56qds0sW+SZ5vKYALo2Ig4r11ouI1wNfKZb7RUrptyXrf4p8Wu404Oe1z/iImFzsX22fvpxSahz/6aiI+GFEHBYR6wbpj4ipEfEa8mmDtaTVe1LzAf4lTQQpJScnJ6dRNQFnkL8IpjaW/XGx7B3AlLr5s8u2UT+/mB4F7iP/aKvNexB4QcN6u9SV79Jsm/3Utbb+7JKywxvq8BD5i3wiJ7GOKe6vHkA8X9mw7RV1236EfHpMad06tG+vAFY37NvK4v6dwFvafb1Ltj271XOXLL8z+Ut2bZ3HyKcK1h6fSk6mJeCMkvVvK8qO6WBZv/Xvp067A3fVbWd13T6tLl7/WtlzBxDj2rqPFLFrNf2w068/cFLduomcKKpt76a68nlN1n9eQ3weJ7/nVzZs9ysDiE3T16UoP6Yov62NbR1J/vFafxxaVfd4CbBHq/dAi233Ww96jrtdVePQ0E76m5rF6hB6jkupaMOP1z2+AIgWz38cvY9zD5B7jbZ83gr71azeFzS8Zi3fI/28Pu1MuwxgH6Khno/T+7i3AjhkANudXbeN2UO1fkNd648ftePSv7fZLh8jv/cfaph/L/CSAdS/9p5p573XdB/J3y8WN7we9e/9a4EtWjzHs4v9qo/Ro3WPf0Xd96MW7e6RYjv177vVwIkDee84OTmNr8keR5LGuo8WtzsAb2tj+b+Se5WcR76a2n3ApuQvR9eTB7bcI6X0x47XtIWU0iXkAT5/QB4UeAr50vCfJV8Ct3aKVfcAtv0z4IXkyxh3k3su3Ee+2tqzU/m/mB2TUvo5+Sp23yN/QZ9M3rcvkPdt8VA+f0NdbifH+Wv0XJFmNblnzktTSmcNV106JaU0j3xloc+RE1RB3qfvk8enuKpu8e5BPNVGtL6s/baUXCZ+sK9/Sukc8g/My8nJgA3J+3kmef9qp1t0N1n/KnKPo1PIpyl1k68gtZbcI+9C8hgpJ7Wqx1BLKV0M7EnuUbSIfAx4nHxc+iCwV0rplhGr4BBLKV1ObsdfIb++G5Jf798Ah6eUjk0ppRbrfxV4DnARebDjaeT29mPgoJTSGUNU9frv0pvS/3tk2KXsWPIfFL+h5310OznezyziP1r9D7ln1G3kz6/HyUnj2ud1q7GNDiX3SppDTiBvRD4G3Uke8+ckYLeU0pCMfdWOlAf0fgZ57Mab6Uly/Y183HpuKu9pV1v/b+Rjx2fIg7JPIief/gS8FXh5SmlNyaq/J8f2Z+RjzmPAZuTE01/JvTD3SCmdO+idlDTmRYvPYEnSKBERHyWPNfC7lFKrAXSlXiLixeQfSKuBTdP4GliZiPgO8G/ABSmldk9ZlSRJUpvscSRJo1zkS0wfVzz8ZatlpXrF4Ke1gYV/Nw6TRrsBryse+t6QJEkaAiaOJGkUiIj/ioj3RcSMugGbpxQD414JbEM+he2CkaynRp+IOCAizomIfSNiajEvikFSL6NnDKv/Hcl6DlREfDgi/jMidqobzH6jiDiSfKrFhsA8Gq62JUmSpM7wVDVJGgUi4hzgXcXDteQxjTYlj+dA8fg1KaWuYa+cRrXi6jc/qpv1ADCVnFCBnDQ6JaX06WGuWkdExI/puVz2Y+SrtG1Oz59f/wRellK6edgrJ0mSNAGYOJKkUSAi9gGOIg9ivT2wFfkKS4vJV0T5bErpnyNXQ41WEbEd+VTGg8iXTt6aPGD0ncAfgS+klK4ZuRoOTkS8iHzFsf3Jlw3fkjzw6wLyoK5fSCktH7kaSpIkjW8mjiRJkiRJklRqg/4XGT0233zzNGPGjJGuxpixYsUKNtpoo5GuxphhvKoxXtUYr/YZq2qMVzXGqxrjVY3xap+xqsZ4VWO8qjFe7RvPsfrb3/52X0pp67KyMZU42nbbbbnmmjHb237YdXV1MXv27JGuxphhvKoxXtUYr/YZq2qMVzXGqxrjVY3xap+xqsZ4VWO8qjFe7RvPsYqI25uVeVU1SZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkptMNIVUI/Zs+Hqq2GjjTqzvcceex6TJnVmWxOB8arGeFVjvNpnrKoxXtUYr2qMVzXGq33GqhrjVU278VqxIt8++CBMnjy0dZLGMhNHo8jy5bDllvDa13Zme//8571sv/32ndnYBGC8qjFe1Riv9hmraoxXNcarGuNVjfFqn7GqxnhV0268fvSjfLue5+FILZk4GkW23DJPX/hCZ7bX1fUPZs/2A6Zdxqsa41WN8WqfsarGeFVjvKoxXtUYr/YZq2qMVzXtxuvmm/PtBv4qlloytypJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSp1LAnjiLipRHxu4i4OyLWRMTSiPh+RDx9uOsiSZIkSZKk5jYYgefcEvgbcC6wDNgJeB/wl4jYO6V0+wjUSZIkSZIkSQ2GPXGUUvou8N36eRHxf8A84HDg7OGukyRJkiRJkvoaLWMc3V/cPj6itZAkSZIkSdI6I5Y4ioj1I2JyRDwNOB+4m4aeSJIkSZIkSRo5IzHGUc3VwLOL+wuBA1NK97ZaYdodd8Ds2b1nHnEEnHgirFwJhxzSd6VjjsnTfffB4Yf3LT/hBDjySLjjDjj66L7lJ58Mhx4K8+fD297Wt/z00+Hgg+H66+Gkk/qWf+xjsP/+8Oc/w2mn9S0/5xyYNQuuuAKun57nza7bzvnnw8yZcNllcHbJWXzf/jbsuCNcfDGcd16volnd3Xm706fDN76Rp0aXXw7TpsG558L3v9+3vKsr337qU/Czn/UumzoVfvGLfP8jH4Hf/rZ3+VZbwaWX5vunngpz5vQu32EHuPDCfP+kk3IM6+22G3z5y/n+8cfDggW9y2fNyvEDOOooWLq0d/l++8FZZ+X7hx0G99/fu/ygg+D978/3X/5yZt11F2y+eU/5K18Jp5yS7ze2Oxhfbe/MM/uW99P2ppx4Yr5T0vYAuOQS2x6sa3uzurt72ldD22PVqt7rT/C2N/XYY/OdARz3gAnX9nq1rYrHvQnZ9mDAx72J2PbWta8Of+aO17a36c03wxln9C0f5GfueGx769rWMH/fG6ttb+OFC8vb1hB/3xurbW9WdzfstVf/xz1se8yfz6yTTur9OwhG/LfGaG17s7q74alPHXW/NXoZSNurxaOJkUwcHQ1sCjwFOAX4TUQ8P6V0W/1CEXE8cDzAXpMm0d3d3Wsj9y5YwJ1dXay3ejXPaCgDuHvePO7u6mLSgw+yZ0n5P+fOZVlXF1PuvZc9SsrvuOkm7t9kE6YuWcLMkvLbb7iBBzbYgI0XLmRGSfmt117LQ48+yqY338xTSsoXXnMNj3R3s8UNN7DHpO0Aeu3j/KuvZtVdd7HVTTexY8n6t8yZw5pFi9h67ly2byhfu3YtV111FY9tthnbzZvHdiXr33jllTyx4YY8ecECtikpv75oQDsuWsRWjdtftYqbivKdFy9mi4byx554grlF+a5LlrBZQ/maSZO4pSifsXQpGzeUr7zzThYU5bvdeSfTGsofWbqUhUX5Hvfcw5SG8geXLGFxUb7nsmVMeuihXuUPLF7M7UX53suXw9q1vWJ//6JF3FGUzyqJzXhqezuXlPfX9lasWEFXV1dp2wOYa9sDetre2rr21dj21l+zptf6E73trVy5kq6urgEd92Ditb36tlX1uDch295223HD/PkDOu5NxLZXa1+d/swdr21v0qpVfb6rwuA/c8dj26u1reH+vjdW2956K1eWtq2h/r43Vtve2rVrueeee/o97k2fnn+Q3znB296Mht9BMPK/NUZr21u7di3Lli0bdb816g2k7dXi0UyklFouMBwiYnPgNuB7KaW3N1tu5syZaf78+cNVrTGvq6uL2WXZa5UyXtUYr2qMV/uMVTXGqxrjVY3xqsZ4tc9YVWO8qjFe1Riv9o3nWEXE31JK+5aVjYrBsVNK3eTT1WaMcFUkSZIkSZJUGBWJo4jYFtgdWDTSdZEkSZIkSVI27GMcRcSPgGuBG4GHgN2A/wYeB0pGxZIkSZIkSdJIGInBsf8CHAGcDEwG7gC6gLMaB8aWJEmSJEnSyBn2xFFK6RPAJ4b7eSVJkiRJklTNqBjjSJIkSZIkSaOPiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKbdCqMCIuqLCtlFL6j0HWR5IkSZIkSaNEy8QRcCCQ2txWu8tJkiRJkiRpDGiZOEop7TJM9ZAkSZIkSdIo4xhHkiRJkiRJKlUpcRQRG0XEf0XEJRHx+4h4WjH/DRGx+9BUUZIkSZIkSSOhvzGO1omIHYEuYAdgHrAXsElRfABwMHBch+snSZIkSZKkEVKlx9HZwBpgN+DZQNSV/QF4QQfrJUmSJEmSpBHWdo8j4MXA8Sml2yNi/YayfwLbd65akiRJkiRJGmlVehxNBh5uUrYZ8PjgqyNJkiRJkqTRokqPoxuBw4BflpS9HPhbR2o0Ab31rXD//XDiiZ3d7g03bMHjpvPaZryqMV7VGK/2GatqjFc1xqsa41WN8WqfsarGeFVjvKqZyPE691xYf334wQ96z99nH1i2DGbM6D2/u3sWm2+e7y9cCFtvDddd1966Nc3WAzj6aFixovO5gcGqkjj6JHBJRABcVMx7ekS8GvgP4FUdrtuE8ac/wbx58KMfdXrLz+z0Bsc541WN8arGeLXPWFVjvKoxXtUYr2qMV/uMVTXGqxrjVc3EjtfkyX3nLVsGjzzSer1m5f2t26rsiivg7ruHIjcwOG0njlJKP4yIE4GPA8cWs79FPn3tP1NKZT2R1IYttoBZs+Dzn+/sdq+77jr22Wefzm50HDNe1RivaoxX+4xVNcarGuNVjfGqxni1z1hVY7yqMV7VTOR4vfOdENF3fq23UFdX7/ldXdcze/ZsAIqbttetabYewI47wnbbdT430I4XtLjcWZUeR6SUvhQR3wb2A7YB7gf+nFJqNvaR2jB5cp6e//zObvfxxx/s+DbHM+NVjfGqxni1z1hVY7yqMV7VGK9qjFf7jFU1xqsa41XNRI7XZpuNdA16mzYt346216NS4gggpbQCuGII6iJJkiRJkqRRpFLiKCLWA/4V2AnYsLE8pfStDtVLkiRJkiRJI6ztxFFEPB34MfBUoOQsQBJ5zCNJkiRJkiSNA1V6HJ1bLH8EcBOwZkhqJEmSJEmSpFGhSuLoWcAxKaUfDlVlJEmSJEmSNHqsV2HZ+4BHh6oikiRJkiRJGl2qJI4+A7wjItYfqspIkiRJkiRp9KhyqtrWwEzg7xHxG2B5Q3lKKX2wYzWTJEmSJEnSiKqSODq97v7TSsoTYOJIkiRJkiRpnGg7cZRSqnJamyRJkiRJksY4k0GSJEmSJEkqVeVUtXUiYhtgw8b5KaUlg66RJEmSJEmSRoW2E0cRsSnwWeBIYEqTxbzimiRJkiRJ0jhRpcfRF4HDgK8BNwFrhqRGkiRJkiRJGhWqJI5eBrwnpfTFoaqMJEmSJEmSRo+qg2PPH5JaSJIkSZIkadSpkjj6HnDoUFVEkiRJkiRJo0uVU9V+DZwTEZsAlwPLGxdIKf2uUxWTJEmSJEnSyKqSOPpJcbsrcEzd/AREcetV1SRJkiRJksaJKomjA4asFpIkSZIkSRp12k4cpZT+MJQVkSRJkiRJ0uhS9apqkiRJkiRJmiCqnKpGROwJHAfMBDZsKE4ppYM6VTFJkiRJkiSNrLYTRxHxHOAPwG3A04AbgS2AnYClwMIhqJ8kSZIkSZJGSJVT1T4G/BDYk3wVtf9IKe0CHEy+mtqZHa+dJEmSJEmSRkyVxNEzgAuBVDxeHyCl9Dty0uiszlZNkiRJkiRJI6lK4mgysCKl9ASwHHhSXdl8YK9OVkySJEmSJEkjq0riaCGwfXH/RuDYiFgvItYD3gLc3enKSZIkSZIkaeRUuaraZcBs4CLyeEc/Bx4C1gIbA//V6cpJkiRJkiRp5LSdOEopnVF3/4qIeC5wGDAN+GVK6dedr54kSZIkSZJGSpUeR72klK4DrutgXSRJkiRJkjSKVBnjaNAi4vCIuDQibo+IVRExPyLOiohNhrMekiRJkiRJ6l/biaOImBwRH4yIeRGxMiLWNkyPt7GZU8hjIp0GvAw4DzgB+E0xyLYkSZIkSZJGiSqnqn0SeAfwC+CHwJoBPN+hKaVldY//EBHLgW+SB97+3QC2KUmSJEmSpCFQJXF0OPDBlNJHB/pkDUmjmr8Wt9sPdLuSJEmSJEnqvCqJo42BOUNQhxcVt7f0t+C0O+6A2bN7zzziCDjxRFi5Eg45pO9KxxyTp/vug8MP71t+wglw5JFwxx1w9NF9y08+GQ49FObPh7e9rW/56afDwQfD9dfDSSf1Lf/Yx2D//eHPf4bTTutbfs45wCx44AGY/dq+5eefDzNnwmWXwdln9y3/9rdhxx3h4ovhvPN6Fc3q7oYrroDp0+Eb38hTo8svh2nT4Nxz4fvf71ve1ZVvP/Up+NnPepdNnQq/+EW+/5GPwG9/27t8q63g0kvz/VNPhTkNzWeHHeDCC/P9k07KMay3227w5S/n+8cfDwsW9C6fNauIH3DUUbB0ae/y/faDs87K9w87DO6/v3f5QQfB+9+f77/85cy66y7YfPOe8le+Ek45Jd9vbHcwPtrerFm5jZx5Zt/yftrelBNPzHdK2h4Al1xi24N1bW9Wd3dP+2poe6xa1Xv9Cd72ph57bL4zgOMeMOHaXq+2VfG4NyHbHgz4uDcR29669tXhz9zx2vY2vflmOOOMvuWD/Mwdj21vXdsa5u97Y7XtbbxwYXnbGuLve2O17c3q7oa99hpVvzVGc9ubddJJvX8HwYj/1hi2tnfHHfm1m123j1Onkk+0ok/bm9XdDU99ak/bu/VWmH1s723fch7ssUe+X9b2FpwPu83M9xvb3vXnwMYbAzPy4+Fqe7V4NFElcXQZ8EI6eDpZRGwPfBi4IqV0TZNljgeOB9hr0iS6u7t7ld+7YAF3dnWx3urVPKOhDODuefO4u6uLSQ8+yJ4l5f+cO5dlXV1Mufde9igpv+Omm7h/k02YumQJM0vKb7/hBh7YYAM2XriQGSXlt157LQ89+iib3nwzTykpX3jNNUyfPp0pT9zTZ98A5l99NavuuoutbrqJHUvKb5kzhzWLFrH13Lls31C+du1arrrqKh7bbDO2mzeP7UrWv/HKK3liww158oIFbFNSfn3RgHZctIitGre/ahU3FeU7L17MFg3ljz3xBHOL8l2XLGGzhvI1kyZxS1E+Y+lSNm4oX3nnnSwoyne7806mNZQ/snQpC4vyPe65hykN5Q8uWcLionzPZcuY9NBDvcofWLyY24vyvZcvh7Vre70G9y9axB1F+ayS2IyHtvdIdzdb3HADOw+g7a1YsYKurq7Stgcw17YH9LS9tXXtq7Htrb+m95m/E73trVy5kq6urgEd92Ditb36tlX1uDch295223HD/PkDOu5NxLZXa1+d/swdr21v0qpVpd/nBvuZOx7bXq1tDff3vbHa9tZbubK0bQ31972x2vbWrl3LPffcM6p+a4zmtjej4XcQjPxvjeFqe7tu9AQbPnRXr/1fu2oV03fMyZrFDW1v7dq1LFu2jLldXUyfPoNN757fJ3a7TbmF5dM3oatrYWnbmzFlHt3TN6Kra2GftrfHpLk8NnUzurry8w9X26vFo5lIKTUvjHhK3cOtgW8B3wEuB5Y3Lp9SurXls/Xe9sZAF/Bk4F9TSktbrwEzZ85M8+fPb/cpJryuri5ml2WvVcp4VWO8qjFe7TNW1RivaoxXNcarGuPVPmNVjfGqxnhVY7zaN55jFRF/SyntW1bWX4+jhUB9ZimAM4APNj5Hsdz6bVZoKrkH01OAF7WTNJIkSZIkSdLw6i9xdCy9E0eDFhGTgEuAfYEXp5Ru6uT2JUmSJEmS1Bn9JY6+BbwCWJxSurlsgYjYG9glpXRZf08WEeuRT3U7EHhlSukvFesrSZIkSZKkYbJeP+VHAd8FVrRY5mHgooh4YxvP90Xg9cDZwIqIeG7dtENbNZYkSZIkSdKwaCdx9PWU0uJmC6SUbgMuAN7cxvO9vLj9H2BOw3RcG+tLkiRJkiRpmPR3qtqzgM+3sZ0rgDf1t1BKaZc2tiVJkiRJkqRRoL8eR5sAD7SxnQeKZSVJkiRJkjRO9Jc4ug/YuY3t7FQsK0mSJEmSpHGiv8TRn2hv7KJjimUlSZIkSZI0TvSXODoHOCgiPhMRkxsLI2JSRJwDHAh8pvPVkyRJkiRJ0khpOTh2SmlORJwMnA28KSJ+DdxeFO8MvBjYCjg5pfSXIa2pJEmSJEmShlV/V1UjpXRORFwLvBd4LTC1KFoFdAEfTyn9cchqKEmSJEmSpBHRb+IIIKV0JXBlRKwHTC9m359SWjtkNZMkSZIkSdKIaitxVJNSegK4d4jqIkmSJEmSpFGkv8GxJUmSJEmSNEGZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSV2mCkKyA48kiYOxf226+z273rrt34znc6u83xzHhVY7yqMV7tM1bVGK9qjFc1xqsa49W+sRyrOXPgqU+Fn/ykZ94++8CyZTBjRvk6CxfC1lvDddeVl7daf+FCmDr12fzjH4OvuyQNhImjUeDmm/MHwgMPdHa7jz66FZMnd3ab45nxqsZ4VWO82mesqjFe1RivaoxXNcarfWM5VvfdB6tX9563bBk88kjzdVqV9bf+I4/AmjVjNFiSxgUTR6PA1lvnqaurs9vt6prD7NmzO7vRccx4VWO8qjFe7TNW1RivaoxXNcarGuPVvrEcq7Jq13oKNfs+39+utlp/9mzo7l4FTGmnepLUcY5xJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKnUsCeOImKHiPh8RMyJiJURkSJil+GuhyRJkiRJklobiR5HM4AjgAeAP47A80uSJEmSJKkNI5E4ujKltG1K6RDgByPw/JIkSZIkSWrDsCeOUkpPDPdzSpIkSZIkqToHx5YkSZIkSVKpDUa6AlVMu+MOmD2798wjjoATT4SVK+GQQ/qudMwxebrvPjj88L7lJ5wARx4Jd9wBRx/dt/zkk+HQQ2H+fHjb2/qWn346HHwwXH89nHRS3/KPfQz23x/+/Gc47bS+5eecA8yCBx6A2a/tW37++TBzJlx2GZx9dt/yb38bdtwRLr4YzjuvV9Gs7m644gqYPh2+8Y08Nbr8cpg2Dc49F77//b7lXV359lOfgp/9rHfZ1Knwi1/k+x/5CPz2t73Lt9oKLr003z/1VJgzp3f5DjvAhRfm+yedlGNYb7fd4MtfzvePPx4WLOhdPmtWET/gqKNg6dLe5fvtB2edle8fdhjcf3/v8oMOgve/P99/+cuZddddsPnmPeWvfCWcckq+39juYHy0vVmzchs588y+5f20vSknnpjvlLQ9AC65xLYH69rerO7unvbV0PZYtar3+hO87U099th8ZwDHPWDCtb1ebavicW9Ctj0Y8HFvIra9de2rw5+547XtbXrzzXDGGX3LB/mZOx7b3rq2Nczf9zrS9q4v6jP7pJ6299hjMHdunlev1vbWrIZb5vUtr7W9lSvzvjeWn346cDDrr1oFs1/Tt35D/H1vrLa9Wd3dsNdeo+q3xmg+7s066aTev4NgxH9rjNa2N6u7G5761FH3W6OXgbS9WjyaGPWJo4g4HjgeYK9Jk+ju7u5Vfu+CBdzZ1cV6q1fzjIYygLvnzePuri4mPfgge5aU/3PuXJZ1dTHl3nvZo6T8jptu4v5NNmHqkiXMLCm//YYbeGCDDdh44UJmlJTfeu21PPToo2x68808paR84TXXMH36dKY8cU+ffQOYf/XVrLrrLra66SZ2LCm/Zc4c1ixaxNZz57J9Q/natWu56qqreGyzzdhu3jy2K1n/xiuv5IkNN+TJCxawTUn59UUD2nHRIrZq3P6qVdxUlO+8eDFbNJQ/9sQTzC3Kd12yhM0aytdMmsQtRfmMpUvZuKF85Z13sqAo3+3OO5nWUP7I0qUsLMr3uOcepjSUP7hkCYuL8j2XLWPSQw/1Kn9g8WJuL8r3Xr4c1q7t9Rrcv2gRdxTls0piMx7a3iPd3Wxxww3sPIC2t2LFCrq6ukrbHsBc2x7Q0/bW1rWvxra3/po1vdaf6G1v5cqVdHV1Dei4BxOv7dW3rarHvQnZ9rbbjhvmzx/QcW8itr1a++r0Z+54bXuTVq0q/T432M/c8dj2am1ruL/vdaLt7TFpLgDd3d3r2t42W+7IVpPm9nn9a21v2y2ezJYl5bW2t90W27BFSfntN9zA9Om7szXLStvWUH/fG6ttb+3atdxzzz2j6rfGaD7uzWj4HQQj/1tjtLa9tWvXsmzZslH3W6PeQNpeLR7NREqp5QJDKSKOA74C7JpSuq2/5WfOnJnmz58/5PUaL7q6uphdlr1WKeNVjfGqxni1z1hVY7yqMV7VGK9qjFf7jFU1xqsa41WN8WrfeI5VRPwtpbRvWZljHEmSJEmSJKmUiSNJkiRJkiSVGpExjiKiNnrXs4vbl0fEMmBZSukPI1EnSZIkSZIk9TZSg2P/oOHxucXtH4DZw1sVSZIkSZIklRmRxFFKKUbieSVJkiRJktQ+xziSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkqZOJIkSZIkSVIpE0eSJEmSJEkqZeJIkiRJkiRJpUwcSZIkSZIkqZSJI0mSJEmSJJUycSRJkiRJkqRSJo4kSZIkSZJUysSRJEmSJEmSSpk4kiRJkiRJUikTR5IkSZIkSSpl4kiSJEmSJEmlTBxJkiRJkiSplIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVMrEkSRJkiRJkkpFSmmk69C2iHgYmD/S9RhDpgP3jXQlxhDjVY3xqsZ4tc9YVWO8qjFe1RivaoxX+4xVNcarGuNVjfFq33iO1c4ppa3LCjYY7poM0vyU0r4jXYmxIiKuMV7tM17VGK9qjFf7jFU1xqsa41WN8arGeLXPWFVjvKoxXtUYr/ZN1Fh5qpokSZIkSZJKmTiSJEmSJElSqbGWOPrySFdgjDFe1RivaoxXNcarfcaqGuNVjfGqxnhVY7zaZ6yqMV7VGK9qjFf7JmSsxtTg2JIkSZIkSRo+Y63HkSRJkiRJkobJqE8cRcSOEXFJRDwYEQ9FxA8jYqeRrtdIi4jZEZFKpu6G5baIiK9GxH0RsSIiroiIvUeo2sMmInaIiM9HxJyIWFnEZpeS5TaMiE9GxF0RsapY/oUly60XEadGxG0RsToiboiIw4ZlZ4ZYhViVtbcUEbMalhu3sQKIiMMj4tKIuL1oM/Mj4qyI2KRhubbee+22wbGonVhFxC4t2tbmDdsbt7ECiIiXRsTvIuLuiFgTEUsj4vsR8fSG5dr6XBzvx/924tXuZ2Wx7LiOV6OI+GURizMb5k/4Y1eZsnh5/MrafZ/ZtrJ24mXb6isiDomIKyPikeKz75qIOLCu3PZVp1W8bF89IqKrRSx+WbfchG9fG4x0BVqJiGnA74A1wJuBBJwJ/D4inpFSWjGS9Rsl/gv4a93jx2t3IiKAy4BdgHcCDwCnkuM3K6W0dBjrOdxmAEcAfwP+CLykyXJfA14BvAe4FXgH8KuI2C+ldH3dch8BTgH+p9jmG4AfRMQrU0qXD8keDJ92YwXwDeD8hnkLGh6P51hB3rclwGnAUmAf4AzggIjYP6X0RMX3XrttcCzqN1Z1y54F/LRh/YcbHo/nWAFsSX7PnAssA3YC3gf8JSL2Tind3u7n4gQ5/vcbr7plm35WwoSJ1zoR8UbgmSXzPXaVaBavOh6/sk59J50IsYJ+jksF2xYQEW8DvlBMHyF3fpgFTCvKbV91+otXHdsXnAhs2jBvP+DTFLGxfRVSSqN2At4FrAVm1M3blXxgffdI12+EYzOb/IPh4BbLvLpY5oC6eZsBy4HPjfQ+DHF81qu7f1wRh10alnlmMf8tdfM2AOYDP62btw35R9qHGtb/LXDjSO/rcMSqKEvAmf1sa1zHqtiXrUvm/XsRnwOLx22999ptg2N1ajNWuxSPj+tnW+M6Vi32e2ax3ycXj9v6XJyox/+SePX7WTnR4gVsAdwNvLHxuO6xq3K8PH6lzn4nHe+xqhAv21bvWKwCTrJ9dSxetq/W+/018u+ZLW1fPdNoP1XtVcBfUkoLazNSSouBq8gvoFp7FXBnSun3tRkppQfJGdNxHb/UuydDM68CHgMurlvvceB7wEsjYkox+6XAZODChvUvBPaOiF0HX+OR02as2jWuYwWQUlpWMrv2j+H2xW2777122+CY1Gas2jWuY9XC/cVt7Z/odj8XJ+rxvzFe7ZpI8foEcHNK6bslZR67+moVr3ZNpHg1Y9saGhMhXscCTwBfarGM7atHO/Fq10SIVy9Fz+7XA5ellJYXs21fjP4xjvYEbi6ZPxd4esn8ieg7EbE2Iu6PiIui9zgXreK3U0RsPDxVHLX2BBanlFY2zJ9LTn7MqFtuDbCwZDmYWG3xhMhjiayMPLbICxrKJ2qsXlTc3lLctvvea7cNjieNsao5KyIejzxuz09LzhufMLGKiPUjYnJEPI18aujdQO1Ha7ufixPm+N9PvGpafVbCBIlXRDyf3OvvHU0W8dhVp4141Xj8yjrxnXSixAr6Py6BbQvg+cA84A0RsaiIx8KIqH9f2r56tBOvGttXX68FNgG+WTfP9sUoH+OIPH7BAyXzl5O7Dk9kDwJnA38AHiKPHXIaMCci9kkp3UuO320l69ayp1sAjwx9VUetVu2rVl677U5Ff8MWy413FwI/A+4Ediafu/u7iHhxSqmrWGbCxSoitgc+DFyRUrqmmN3ue6/dNjguNInVGvKP/V+Tx6nZnXws+3NE/GtKqZZgmkixuhp4dnF/Ifm0vnuLx+1+Lk6k43+reLXzWQkTIF4RMZn8XvtUSml+k8U8dhXajJfHr6yT30nHe6ygvXjZtno8uZg+SY7BInKPkC9ExAYppc9i+6rXTrxsX839O3Av8Iu6ebYvRn/iSE2klK4Drqub9YeIuBL4P/Jge6ePSMU0bqWUjq57+MeI+Ak5+34m+d+NCaf4h+En5NNi3jLC1RnVmsUqpXQX8Pa6Rf8Y+SoWc8kDrB81nPUcJY4mD9T4FPIA47+JiOenlG4b0VqNXk3j5WdlL/8PmAp8dKQrMkb0Gy+PX5nvs2raiZdtq5f1yD1Ajkkp/bCY97vIVwA+NSI+N2I1G536jZftq1xEPBk4GPhscYqZ6oz2U9UeoLxnUbNs3oSWUrqWfIWrfylmtYpfrXwi6y8+y+uW27wYUb/VchNKSulh4Of0tDeYQLGKiKnkc5ufArw09b6iQrvvvXbb4JjWT6z6SCndAfyJvm1r3McKIKV0S0rp6mJMlYOAjclXC4P2PxcnzPG/n3iVLd/4WQnjPF7FKTD/A7wfmBIRm0fPJZdrj9fHYxdQKV59TPTjV80gvpNOuFhB0+NS4zITtW3Vxq77TcP8XwPbAk/C9lWvnXj1MYHbV72jyPmRbzbMt30x+hNHc8nnCjZ6OvD3Ya7LWFI7TahV/JaklMZ0t/sOmAvsWgyCVu/pwKP0jNMzF5gCPLVkObAt1p+WNiFiFRGTgEuAfYFDUko3NSzS7nuv3TY4ZrURq1Ya29a4jlWZlFI3ed9q58W3+7k4IY//JfFquXjd/fEer6cAG5JPOX6gboLcS+sBYG88dtW0G69WJvzxq1D1O+lEjhX0bjftLDMR4jW3n/InsH3VayderUy09lXvzcANKaUbGubbvhj9iaOfAs+NiKfUZhTd7J5XlKlOROxLvhTx/xWzfgpsHxEvqltmU+BQjB/kHhCTyOf9AhARGwBHAr9OKa0pZv+SPEL+mxrWP4p8pZXFw1DXUadoS6+kp73BBIhVRKwHfAc4EHhNSukvJYu1+95rtw2OSW3Gqmy9ncinP9a3rXEdq2YiYlvy2AOLilntfi5OyON/SbzKlmn8rITxH6/rgQNKJsjJkQPIX2g9dmXX0168+vD4lQ3iO+mEixU0PS41LjNR29aPituXNsx/GbA0pXQ3tq967cSrjwncvoB178Gn07e3Edi+spTSqJ2AjcgfzDeRL3X3KuAG4FZg45Gu3wjH5jvksWVeR/5RdjJwH7AEmF4ssx7wZ+AO4A3kA0gXuZvcjiO9D8MQo8OL6Txy9vyE4vGL6pb5Hvmfw+PIpzhcAqwGntWwrY8X898NzC62+QTwypHez+GIFfkf1q8A/1bs/5uL9+WjwAsmWKxqMToTeG7DtEOxTNvvvXbb4Fic2ozV2cBngCPIP8beDtwOdAMzJ0qsiv37EfnUmFcXsXgb+coo3cBuxTJtfS5WaYNjdWozXv1+Vk6UeDWJYQLOHEgcxvv7sc14efxKnf9OOp5jVSFetq2e/Qvgd+RTsN4OvIT8nTSRx/GxfVWPl+2rb9w+R/7ze5uSMttXSqM7cVQEfyfgUvJVBx4GfgzsMtL1GukJOBW4kXxlhseKhvxl4EkNy20JXFA07JXAb4FnjnT9hylGqcnUVbfMVODT5Ms3ryZfnWd2ybbWJw/ueDv5SgQ3AoeP9D4OV6zIGfWryF9sHis+jH4K/OsEjNVtLeJ1Rt1ybb332m2DY3FqJ1bAscBfiw/Zx4o4XETDF5fxHqti/94L/I38xW0lMJ981ZNdGpZr63NxvB//24kXbX5WToR4NYlhr0RIlTiM9/djO/Hy+LVu3zr6nXQ8x6rdeNm2+uzjpsAXgXvIf1reCPyb7Wtg8bJ99dnHSeSry13WYpkJ376i2EFJkiRJkiSpl9E+xpEkSZIkSZJGiIkjSZIkSZIklTJxJEmSJEmSpFImjiRJkiRJklTKxJEkSZIkSZJKmTiSJEmSJElSKRNHkiRp0CLiKxGRIuIzTcrPKMo3GKb6zC6eb/YA1n1NRLy7w/WZVcRgy5KyFBFndPL5BqqoS206Zgi2v0PDcxzc6eeQJEmdZeJIkiQNSkRMBY4oHv7bcCWHhtBrgI4mjoBZwAeBPokjYD/gqx1+vsH4GrlOPx+Cbd9bbPsdQ7BtSZI0BEwcSZKkwXoNsClwObAN8LIRrc0Yk1L6S0pp6UjXo87Sok7LOr3hlNKjKaW/AH/v9LYlSdLQMHEkSZIG683AA8AxwKricTN7RMTvI2JlRNwVER+OiHXfRyJi44j4fEQsiYg1EXFvRFwREbvXLbNpRHwhIu4slpkfEf8dEdGqkhFxW0R8o2T+ulPFivI3A9vXnU51W92yW0fElyLin8Vzz4uI4/t53mOArxcP/1G33V0an794XDutb/eI+FVErCji8Zai/OjieR8pYvnUkuc8PiJuiIjVEXFfRHyt7DS5dkXENyJiaUTsExF/LF6/f0TE2xuW2y4ivln32twVET+LiG0G+tySJGlkjfWu5JIkaQRFxJOBg4GvpJSWRcSPgddFxBYppQdKVvkxcAFwFvBS4P3AE8AZRflngFcBpwH/ALYCngdsXjzfeuRTqJ4FfAC4CXgF8Glg62K9wfhIsZ1/KeoBsKZ47k2BPwFTi/ouLvbhvIiYklL6fJNt/hw4EzgdeD1Q6110Vz91+QHwFeBTwInABRHxNGA28D5gEvBZ4CLgObWVIuLjwMnA54D3ANsXz79XROyfUlrbz/M2s2nxXOcAHwbeQt73+Sml3xfLfBvYuXjeO4BtgYOAaQN8TkmSNMJMHEmSpME4Clgf+Fbx+JvAG4EjgS+VLP+VlNLHi/u/LpIxJ0fEOSmlbvL4N99JKX2tbp0f1d0/BHg+8JaU0jfqtrNRsZ1Pp5TuG+jOpJQWRcQyoHZKVb13kZMie6eU/lHMuyIiNgc+GBHnpZQeL9nmsohYVDy8PqW0sM3qfDKl9C2AiLgGOBR4G7BrSumhYv6TgM9GxM4ppduLXkzvAT6UUvpwbUMRsYCc9DqUnLwbiE2AE2tJooi4kpw4eyNQSxztB5yWUvpO3Xo/GODzSZKkUcBT1SRJ0mC8GfhHSmlO8fgK4E6an672/YbH3wM2BvYqHv8VOCYiTouIfSNi/YblX0juoXRRw/wLgcnkxMVQeRlwNbA4IjaoTcCvyD2jnt7h5/tF7U7Re+te4C+1pFFhXnG7Y3H7YvL3u+801PFq4GFy/AZqZV3PIlJKa4AFwE51y/wVeE9EvCsi9u7v9EFJkjT6mTiSJEkDEhH7kpMlP4yIzYueN5sAPwSeGxG7lax2T5PH2xe37wTOB44lJyHujYjPRETtVKctgeUppUcbtnN3XflQ2YaceHmsYar1qNmqw8/XeKrfo03mAWxYV0eAhfSt5yaDrGPZqYdr6p4bck+znwL/D7gR+GdEfKB+HCtJkjS2eKqaJEkaqFqvovcWU6N/J4/rU29b4NaGxwD/BEgpPQKcCpwaETsDhwMfJydI3gssB7aMiMkNyaPtitvlLeq7mtwraZ2IqJJIuZ/c6+ddTcrnV9jWULm/uH0J5Yme+0vmdUxK6V7gHcA7ImImuY18CFgGnDeUzy1JkoaG//5IkqTKImIyeWybq4EDSqbrgaNLTlU6ouHxG4BHyINc95JSuj2ldHZRVjuV7Q/k7y+vb1j8TeTk0hyau71uOzWvKFluDXkA7Ea/BHYHlqSUrimZHm7x3GuK27LtdtJvyKfy7dSkjouH+PnXSSnNTymdRk5gNcZdkiSNEfY4kiRJA/EK8mlPJ6eUuhoLI+J8cg+T2fQMnAzw1uK0pb+SB1Y+DjgjpfRgsd4c8qlON5ETSi8CnkkedBvyuD9/Ar4UEVsDc8kDZh8HnNXPwNjfI1+Z7DPAz4rtHlOy3N/JvZpOAK4BVqeUbiJf8e1I4I/FNuYDG5GTSS9IKb26xXP/vbh9R0R8k3zq2I0lp9wNSjG49yeALxQ9fv5A7mm1I3n8o6/Wj1PUSRGxGXmMq++Qx156DHg1sAXw66F4TkmSNPRMHEmSpIF4M3mw5WZXzPou8OliufpExauBzwPvBx4kXyb+I3XlV5J7Jb2P/D3lVuC/U0qfA0gpPRERrwA+Rj51bSvgNuDd5MvEt/JNcgLlP8hXJ/sj8FryeED1vgo8t3iOzck9lXZJKT0YEfsDHyiee3ugm5xAurTVE6eUboiIM4DjgbeSe03tWtS9o1JKp0XELRSnjAEJuAP4LfCPVusO0mrgWvL+7Uzu+TQfeFNK6SdD+LySJGkIRUpppOsgSZKkUSAiEjmR92FgbRqCL4rFVd5eRO6d9OKU0hWdfg5JktQ5jnEkSZKkeu8nn2b25v4WrCoidii2bbJIkqQxwlPVJEmSVPMvdfeHYiDtexqeYzRciU6SJLXgqWqSJEmSJEkq5alqkiRJkiRJKmXiSJIkSZIkSaVMHEmSJEmSJKmUiSNJkiRJkiSVMnEkSZIkSZKkUiaOJEmSJEmSVOr/Axna+yk3mmHYAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 36.25), ('RE2', 36.25), ('RE3', 37.5), ('FE1', 531.265625), ('RE1', 535.015625), ('FE1', 540.015625), ('RE1', 545.015625), ('FE1', 550.015625), ('FE3', 607.5), ('FE2', 692.515625), ('RE2', 696.265625), ('FE2', 702.515625), ('RE2', 706.265625), ('FE2', 711.265625), ('RE2', 716.265625)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 35.0), ('RE2', 36.25), ('RE3', 36.25), ('FE2', 713.75), ('RE2', 717.5), ('FE2', 723.75), ('RE2', 727.5), ('FE2', 733.75), ('FE1', 735.0), ('RE1', 737.5), ('RE2', 738.75), ('FE2', 743.75), ('FE1', 745.0), ('RE1', 748.75), ('FE1', 755.0), ('RE1', 758.75), ('FE1', 763.765625), ('FE3', 778.765625)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 35.0), ('RE3', 35.0), ('FE1', 408.75)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 1.25), ('RE3', 1.25), ('FE2', 150.0), ('FE3', 295.0), ('RE3', 298.75), ('FE3', 303.75)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE2', 6.25), ('RE3', 6.25), ('FE2', 259.984375), ('RE2', 263.734375), ('FE2', 269.984375)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 33.75), ('RE3', 33.75), ('RE1', 45.0), ('FE1', 50.0), ('FE3', 148.75)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('RE1', 13.75), ('RE3', 13.75), ('FE1', 107.5), ('FE3', 195.0)]\n"
+     ]
+    }
+   ],
+   "source": [
+    "usefull_events_3 = extract_usefull_events(event_time_3, dif) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 114,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[('RE2', 'RE3', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE1', 'RE3', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE1', 'RE3', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE1', 'RE2', 0.0),\n",
+       " ('RE1', 'RE3', 0.0),\n",
+       " ('RE1', 'RE2', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE1', 'RE3', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE1', 'RE2', 0.0),\n",
+       " ('RE1', 'RE2', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE1', 'RE2', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE1', 'RE3', 0.0),\n",
+       " ('RE1', 'RE2', 0.0),\n",
+       " ('RE1', 'RE2', 0.0),\n",
+       " ('RE1', 'RE2', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE1', 'RE3', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE1', 'RE2', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE2', 'RE3', 0.0),\n",
+       " ('RE1', 'RE3', 0.0),\n",
+       " ('RE1', 'RE3', 0.0)]"
+      ]
+     },
+     "execution_count": 114,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Par de triggers que registraron un evento con una \n",
+    "# distancia temporal menor o igual a dif nanosegundos\n",
+    "usefull_events_3 "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Conclusiones\n",
+    "* * *\n",
+    "En primera instancia, referente a la estimación del flujo de muones, si bien los datos experimentales pertenecen a otras investigaciones, se deben notar algunas observaciones del análisis:\n",
+    "* La altitud afecta al flujo de muones. Para alturas de 10500 m, el flujo de muones por segundo comienza a descender, y para alturas superiores a 16300 m también se mide un menor flujo. Esto sugiera que los rayos cósmicos no contienen muones, sino que la interacción de los CRs a mayor penetración atmosférica comienza a crear muones.\n",
+    "* Es posible hacer un ajuste exponencial para alturas menores a 5000 m cuyos valor de flujo encontrado sea respaldado con el flujo calculado por interpolación.\n",
+    "* A 990 msnm se puede estimar un flujo de $1.4$ muones por minuto, y para un área de $1875cm^{2}$, un flujo de $43$ muones por segundo.   \n",
+    "  \n",
+    "En el análisis de calibración, el flujo detectado decrece con el aumento del voltaje de discriminación. Para $71 mV$ se encontró un flujo coincidente con el estimado, por lo cual este es el umbral óptimo para detectar lluvias.  \n",
+    "  \n",
+    "En el estudio de lluvias áreas extensas, se encontró un gran registro de detecciones correspondientes a $7736$ datos durante el tiempo de detección total de tres horas y media. Al agrupar estos datos de acuerdo a los instantes de tiempo (con precisión de milisegundos) se obtuvo una detección de $1369$ lluvias, correspondientes a una tasa de $6.56$ eventos de EAS por minuto, con registro promedio de $5.64$ detecciones por evento de EAS.\n",
+    "  \n",
+    "Finalmente, el estudio sobre la dirección de las lluvias permite concluir que $73$ eventos de EAS fueron compatibles con la representación geométrica planar de las EAS. Esto es debe a que solo $73$ eventos fueron generados por la activación de los triggers de dos SiPM con un delay temporal menor o igual a $1.07$ ns. Todos estos $73$ eventos EAS incidieron horizontalmente sobre el arreglo de detectores porque el ángulo formado entre el vector normal del plano que representa el frente de la lluvia y el plano que contiene los tres detectores es de $\\frac{\\pi}{2}$ radianes o equivalentemente el delay temporal en la activación de los triggers de cualquier par de SiPM fue nulo."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Anexos\n",
+    "* * *"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## A. Acceso remoto al laboratorio \n",
+    "\n",
+    "El acceso al laboratorio se hace por SSH desde un terminal. Primero debemos ingresar al servidor central Obatala mediante el comando:\n",
+    "\n",
+    "**`ssh lacongalab@200.16.117.76`**\n",
+    "\n",
+    "pass: HMcvmA4ee3\n",
+    "\n",
+    "Luego para ingresar al sistema de adquisición del detector de centelleo usaremos:\n",
+    "\n",
+    "**`ssh pi@10.1.28.86`**\n",
+    "\n",
+    "pass: laconga2021\n",
+    "\n",
+    "Allí accedemos a la carpeta de la práctica:\n",
+    "\n",
+    "**`cd /home/pi/LACoNGA`**\n",
+    "\n",
+    "### Descarga de los archivos\n",
+    "\n",
+    "Ahora debemos copiar los datos a nuestro PC. Para ello primero lo copiamos al servidor **Obatala** y luego a nuestro PC. Ejecutamos:\n",
+    "\n",
+    "**`scp File_name.dat lacongalab@200.16.117.76:/home/lacongalab`**\n",
+    "\n",
+    "pass: HMcvmA4ee3\n",
+    "\n",
+    "Y ahora desde nuestra carpeta local (en nuestro PC) desde otro terminal ejecutamos:\n",
+    "\n",
+    "**`scp lacongalab@200.16.117.76:/home/lacongalab/File_name.dat .`**\n",
+    "\n",
+    "pass: HMcvmA4ee3\n",
+    "\n",
+    "En este puto ya tenemos los datos en nuestro PC y podemos procesarlos :) :) :)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## B. Configuración del detector para calibración\n",
+    "\n",
+    "**Recomendación**: Para calibrar el umbral de detección, se debe tomar 5 minutos de datos cambiando el umbral de discriminación de 50 a 300 mV con paso de 25 mV. Luego se determina el umbral óptimo mediante la gráfica de flujo (conteos/s o conteos/min) vs umbral y estimando el flujo esperado en los 3 paneles centelladores de (25 cm x 25 cm) a 990 m s.n.m. Almacene sus datos en un archivo con nombre inconfundible. \n",
+    "\n",
+    "**Detección para 50 mV**\n",
+    "\n",
+    "Para configurar los parámetros de adquisición entramos a la intefaz ejecutando:\n",
+    "\n",
+    "**`minicom`**\n",
+    "\n",
+    "Un vez dentro configuramos por ejemplo el umbral de adquisición tecleando el comando:\n",
+    "\n",
+    "**`TL 4 50`**\n",
+    "\n",
+    "Esto estalece un umbral de discriminación de 50 mV en los 4 canales de adquisición. Para salir de la interfaz tecleamos.\n",
+    "\n",
+    "**`Ctrl+A x`** y enter\n",
+    "\n",
+    "Cuando configuremos los parámetros de adquisición procedemos a tomar los datos. Para ello ejecutamos:\n",
+    "\n",
+    "**`minicom -C calibration_50mV.dat`**\n",
+    "\n",
+    "y dentro de la interfaz ejecutamos. \n",
+    "\n",
+    "\n",
+    "**`CE`** -- habilita el contador de eventos\n",
+    "\n",
+    "Los datos mostrados en pantalla serán almacenados en el archivo **calibration_50mV.dat**. \n",
+    "\n",
+    "Esperar **5 minutos**\n",
+    "\n",
+    "Para terminar la adquisición ejecutamos:\n",
+    "\n",
+    "**`CD`** -- deshabilita el contador de eventos\n",
+    "\n",
+    "Una vez más salimos del minicom con **`Ctrl+A x`** y enter. Este procedimiento se ejecuta siempre que se quiera adquirir cambiando los parámetros de adquisición.\n",
+    "\n",
+    "**Repetir para 75 mV hasta alcanzar 300 mV**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## C. Configuración del detector para medición de EAS\n",
+    "\n",
+    "\n",
+    "**Recomendación**: Para la medición de lluvias aréreas extensas configurar el detector en coincidencia 2-Fold y establecer la ventana de coincidencia (ver Escaramujo User Guide). Se recomienda adquirir 3 o 4 horas de datos para obtener una buena estadística. Esto último puede hacerse de la forma propuesta en el notebook: en diferentes intervalos de tiempo almacenando los datos en archivos distintos, o una adquisición continua para guardar en el mismo archivo. Almacene sus datos en un archivo con nombre inconfundible.\n",
+    "\n",
+    "**Instrucciones**\n",
+    "\n",
+    "Para configurar los parámetros de adquisición entramos a la intefaz ejecutando:\n",
+    "\n",
+    "**`minicom`**\n",
+    "\n",
+    "Un vez dentro configuramos por ejemplo el umbral de adquisición tecleando el comando:\n",
+    "\n",
+    "**`TL 4 71`**\n",
+    "\n",
+    "Esto estalece un umbral de discriminación de 71 mV (que se determina en la calibración) en los 4 canales de adquisición. \n",
+    "\n",
+    "Luego, tecleamos:\n",
+    "\n",
+    "**`WT 01 00`**\n",
+    "**`WT 02 32`**\n",
+    "\n",
+    "dado que d = 50.\n",
+    "\n",
+    "**`WC 00 1F`**\n",
+    "\n",
+    "para 2-Fold\n",
+    "\n",
+    "**`WC 02 64`**\n",
+    "**`WC 03 00`**\n",
+    "\n",
+    "dado que w = 100\n",
+    "\n",
+    "Para salir de la interfaz tecleamos.\n",
+    "\n",
+    "**`Ctrl+A x`** y enter\n",
+    "\n",
+    "Cuando configuremos los parámetros de adquisición procedemos a tomar los datos. Para ello ejecutamos:\n",
+    "\n",
+    "**`minicom -C EAS_data.dat`**\n",
+    "\n",
+    "y dentro de la interfaz ejecutamos\n",
+    "\n",
+    "**`CE`** -- habilita el contador de eventos\n",
+    "\n",
+    "Los datos mostrados en pantalla serán almacenados en el archivo **EAS_data.dat**. Para terminar la adquisición ejecutamos:\n",
+    "\n",
+    "**`CD`** -- deshabilita el contador de eventos\n",
+    "\n",
+    "Una vez más salimos del minicom con **`Ctrl+A x`** y enter. Este procedimiento se ejecuta siempre que se quiera adquirir cambiando los parámetros de adquisición.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## D. Estructura de los datos\n",
+    "  \n",
+    "Los datos arrojados por el DAQ del arreglo de detectores tiene la siguiente estructura mostrada en la tabla:  \n",
+    "\n",
+    "<img src=\"images/tabla_datos.png\">\n",
+    "  \n",
+    "donde:  \n",
+    "* RE: señal en flanco de subida,  \n",
+    "* FE: señal en flanco de bajada.  \n",
+    "\n",
+    "Cada línea contiene un conjunto de datos de detección formado por 16 palabras separadas por espacio. Los eventos pueden estar formados por varias líneas de datos, y a su vez cada palabra dentro de una línea da información sobre el evento.$\\newline$ \n",
+    " - **Palabra 1:** Es un numero hexadecimal de 32 bits que representa el conteo hecho por un reloj $A$ montado en el DAQ que se reinicia    cada vez que el GPS envia un pulso que es etiquetado como 1PPS. La resulucion de este reloj es de 10 nanosegundos, es decir    que el incremento de un LSB al conteo implica un aumento de 10 ns en el reloj. Este conteo comienza cuando le llega el 1PPS y finaliza cuando hay un evento en el arreglo de detectores.$\\newline$\n",
+    " \n",
+    " - **Palabra 2,4,6,8:** Es un numero hexadecimal de 2 bits que al transformalo a binario da un numero de 8 bits. Los bits 0-4 de dicho numero binario representa el conteo de un reloj $B_{i}$ que comienza a contar, con una resolucion de 1.25 ns, una vez que el reloj $A$ finaliza su conteo; y deja de contar cuando hay una señal en flanco de subida en el detector $i$. La palabra 2 se coresponde con el detector 0, la palabra 4 se coresponde con el detector 1 y asi sucesivamente. El conteo del reloj $B_{i}$ define el instante de tiempo en el que hay un trigger en el detector $i$.$\\newline$\n",
+    " \n",
+    " - **Palabra 3,5,7,9:** Es un numero hexadecimal de 2 bits que al transformalo a binario da un numero de 8 bits. Los bits 0-4 de dicho numero binario representa el conteo de un reloj $C_{i}$ que comienza a contar, con una resolucion de 1.25 ns, una vez que el reloj $A$ finaliza su conteo; y deja de contar cuando hay una señal en flanco de bajada en el detector $i$. La palabra 3 se coresponde con el detector 0, la palabra 5 se coresponde con el detector 1 y asi sucesivamente.$\\newline$\n",
+    " \n",
+    " - **Palabra 10:** Es un numero hexadecimal de 32 bits que representa el conteo hecho por un reloj $D$ montado en el DAQ. El conteo de dicho reloj comienza cada vez que el GPS genera una estampa temporal y termina cuando se le envia un pulso (1 PPS) al reloj $A$. Este reloj tiene una resolucion de 10 ns.$\\newline$\n",
+    " \n",
+    " - **Palabra 11:** Es la estampa temporal, en formato UTC (hh:mm:ss.mmm) con resolucion en milisegundos, que genera el GPS cada segundo.$\\newline$\n",
+    " \n",
+    " - **Palabra 12:** Es la fecha de la estampa temporal generada por el GPS.$\\newline$\n",
+    " \n",
+    " - **Palabra 16:** Es el retardo temporal que hay entre la generacion de la estampa temporal y el envio del pulso (1 PPS) al reloj $A$. Esta dado en milisegundos.  \n",
+    " \n",
+    " - **Importante**: para la detección solo se utilizaron tres paneles centelladores, cuyos datos fueron almacenados en las palabras **4, 5, 6, 7, 8, 9**. Por esto, se ignoran los datos de las palabras **3 y 4** durante el análisis, no contienen información."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## E. Documentación de rayos cósmicos"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<CENTER>\n",
+    "    <h2> The composition of cosmic rays  </h2>\n",
+    "    <img src=\"images/CR_composition.png\">\n",
+    "</CENTER>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## F. Representación experimental"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<CENTER>\n",
+    "    <h2> Experimento  </h2>\n",
+    "    <img src=\"images/EAS_experiment.jpg\" style=\"width: 700px;\"/>\n",
+    "</CENTER>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<CENTER>\n",
+    "    <h2> DAQ  </h2>\n",
+    "    <img src=\"images/EAS_DAQ.jpg\" style=\"width: 700px;\"/>\n",
+    "</CENTER>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<CENTER>\n",
+    "    <h2> Paneles centelladores  </h2>\n",
+    "    <img src=\"images/EAS_detectors.jpg\" style=\"width: 700px;\"/>\n",
+    "</CENTER>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<CENTER>\n",
+    "    <h4> Representación gráfica experimental (revisar las figuras de estimación de dirección de lluvias) </h4>\n",
+    "    <img src=\"images/experiment_configuration.png\" style=\"width: 600px;\"/>\n",
+    "</CENTER>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Referencias"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "[1] P. Sommers. Extensive air showers and measurement techniques. 2004.  \n",
+    "https://doi.org/10.1016/j.crhy.2004.03.009  \n",
+    "  \n",
+    "[2] R. Batista et al. Open Questions in Cosmic-Ray Research at Ultrahigh Energies. Front. Astron. Space Sci. 2019.  \n",
+    "https://doi.org/10.3389/fspas.2019.00023  \n",
+    "  \n",
+    "[3] Spurio, M. (2014). Particles and Astrophysics: A Multi-Messenger Approach (Astronomy and Astrophysics Library) (2015th ed.). Springer.  \n",
+    "https://doi.org/10.1007/978-3-319-08051-2  \n",
+    "  \n",
+    "[4] Grieder, P. K. F. (2010). Extensive Air Showers. Springer Publishing.  \n",
+    "https://doi.org/10.1007/978-3-540-76941-5  \n",
+    "  \n",
+    "[5] Jeff Rylander, T. Jordan, J. Paschke & Hans-Gerd Berns.QuarkNet Cosmic Ray Muon DetectorUser’s Manual Series    “6000” DAQ, Version 1.1, 1-53, January 2010"
+   ]
+  }
+ ],
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