{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e436d1aa-ba07-43b5-a137-e236a0aad69e",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Distribución de los datos\n",
    "===\n",
    "\n",
    "* 6:58 min | Última modificación: Diciembre 13, 2021 | [YouTube](https://youtu.be/d94QgIGDXTE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0cfedb39-3ef3-4a4e-b4b9-0306f6a98a47",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "31325b42-65f6-43bc-8408-4a999ce8449c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "956c9620-3336-4acf-bd89-b17145287938",
   "metadata": {},
   "source": [
    "## Definición del problema "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "678566eb-37f6-423a-98a7-ba39aec08f7f",
   "metadata": {},
   "source": [
    "El [conjunto de datos de la flor Iris](https://es.wikipedia.org/wiki/Iris_flor_conjunto_de_datos) contiene 150 muestras de las medidas del ancho y el largo del pétalo y del sépalo para las tres especies de esta flor (Iris setosa, Iris virginica e Iris versicolor). A partir de la muestra de datos se desean responder la siguiente pregunta:\n",
    "\n",
    "\n",
    "* **P3**.--- ¿Cual es la distribución de probabilidades del ancho y largo del petalo y del sepalo para cada especie?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5fdd5619-3187-43c6-ae0b-430febf68673",
   "metadata": {},
   "source": [
    "## Carga de datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f48de899-7ced-48f3-97f7-307146dfd3ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        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>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal_length  sepal_width  petal_length  petal_width species\n",
       "0           5.1          3.5           1.4          0.2  setosa\n",
       "1           4.9          3.0           1.4          0.2  setosa\n",
       "2           4.7          3.2           1.3          0.2  setosa\n",
       "3           4.6          3.1           1.5          0.2  setosa\n",
       "4           5.0          3.6           1.4          0.2  setosa"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal_length  sepal_width  petal_length  petal_width    species\n",
       "145           6.7          3.0           5.2          2.3  virginica\n",
       "146           6.3          2.5           5.0          1.9  virginica\n",
       "147           6.5          3.0           5.2          2.0  virginica\n",
       "148           6.2          3.4           5.4          2.3  virginica\n",
       "149           5.9          3.0           5.1          1.8  virginica"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#\n",
    "# Se cargan los datos y se realiza una inspección\n",
    "# inicial de la tabla y los datos\n",
    "#\n",
    "iris = sns.load_dataset(\"iris\")\n",
    "\n",
    "display(iris.head(), iris.tail())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "775f44a4-93c2-4766-aabf-971354e4684a",
   "metadata": {},
   "outputs": [],
   "source": [
    "iris_melt = pd.melt(\n",
    "    iris,\n",
    "    id_vars=\"species\",\n",
    "    var_name=\"Variables\",\n",
    "    value_name=\"Values\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8bf648b0-4425-47e2-abe1-fe1ef7e2e9f5",
   "metadata": {},
   "source": [
    "Histograma\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "01406cdc-4dd6-40fa-a278-57e3dd4c5cb0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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OAAAAAMAqsxy3yHhkkhP64ROSHLoMNQAAAAAAsJMmHTC3JKdW1flVdXQ/bp/W2pX98LeT7DPhGgAAAAAAmIBJB8z3ba39apLfSvKUqrr/6MTWWksXQm+nqo6uqq1VtfXqq6+ecJkA6LsA06PnAkzXUvXdTfvtn6qa2mPTfvsv4V4AmIzqMt4pbKjq2CTXJvmjJAe31q6sqn2TnNlau/N8y27ZsqVt3bp1ClUCrCk1dEF9F2CQQX1XzwUYbOp9t6pyxHHnDFp2iBOPOSjTym0AFmFs353YFcxV9TNVtcfMcJKHJrk4yclJjuxnOzLJBydVAwAAAAAAk7NhguveJ8n7q2pmO+9orZ1SVecleXdVPSnJN5McPsEaAAAAAACYkIkFzK21S5Pcfcz47yZ50KS2CwAAAADAdEz6P/kDAAAAAGCNEjADAAAAADCIgBkAAAAAgEEEzAAAAAAADCJgBgAAAABgEAEzAAAAAACDCJgBAAAAABhEwAwAAAAAwCACZgAAAAAABhEwAwAAAAAwiIAZAAAAAIBBBMwAAAAAAAwiYAYAAAAAYBABMwAAAAAAgwiYAQAAAAAYRMAMAAAAAMAgAmYAAAAAAAYRMAMAAAAAMIiAGQAAAACAQQTMAAAAAAAMImAGAAAAAGAQATMAAAAAAIMImAEAAAAAGETADAAAAADAIAJmAAAAAAAGETADAAAAADCIgBkAAAAAgEEEzAAAAAAADCJgBgAAAABgEAEzAAAAAACDCJgBAAAAABhEwAwAAAAAwCACZgAAAAAABhEwAwAAAAAwiIAZAAAAAIBBBMwAAAAAAAwiYAYAAAAAYBABMwAAAAAAgwiYAQAAAAAYRMAMAAAAAMAgAmYAAAAAAAYRMAMAAAAAMIiAGQAAAACAQQTMAAAAAAAMImAGAAAAAGAQATMAAAAAAIMImAEAAAAAGETADAAAAADAIAJmAAAAAAAGETADAAAAADCIgBkAAAAAgEEEzAAAAAAADDLxgLmqdq2qL1TVh/vnd6iqz1bV16vqxKq66aRrAAAAAABg6U3jCuanJ/nyyPMXJ3l5a+1OSa5J8qQp1AAAAAAAwBKbaMBcVbdL8vAkb+yfV5IHJnlPP8sJSQ6dZA0AAAAAAEzGpK9gfkWS/5Hkhv75rZN8r7V2Xf/8iiSbxi1YVUdX1daq2nr11VdPuEwA9F2A6dFzAaZL3wWYnIkFzFX120muaq2dP2T51trrW2tbWmtbNm7cuMTVATCbvgswPXouwHTpuwCTs2GC675Pkt+pqocluXmSWyb5hyR7VtWG/irm2yX5lwnWAAAAAADAhEzsCubW2nNba7drrW1O8pgkn2itPS7JGUkO62c7MskHJ1UDAAAAAACTM+l7MI/zF0n+vKq+nu6ezG9ahhoAAAAAANhJk7xFxk+11s5McmY/fGmSe01juwAAAAAATM5yXMEMAAAAAMAaIGAGAAAAAGAQATMAAAAAAIMImAEAAAAAGETADAAAAADAIAJmAAAAAAAGETADAAAAADCIgBkAAAAAgEEEzAAAAAAADCJgBgAAAABgEAEzAAAAAACDCJgBAAAAABhEwAwAACzKpv32T1VN7bFpv/2X+yUDALCADctdAAAAsDp864rLc8Rx50xteycec9DUtgUAwDCuYAYAAAAAYBABMwAAAAAAgwiYAQAAAAAYRMAMAAAAAMAgAmYAAAAAAAYRMAMAAAAAMIiAGQAAAACAQQTMAAAAAAAMImAGAAAAAGAQATMAAAAAAIMImAGAJMmm/fZPVU3lsWm//Zf75QIAALAENix3AQDAyvCtKy7PEcedM5VtnXjMQVPZDgAAAJPlCmYAAAAAAAYRMAMAAAAAMIiAGQAAAACAQQTMAAAAAAAMImAGAAAAAGAQATMAAAAAAIMImAEAAAAAGETADAAAAADAIAJmAAAAAAAGETADAAAAADCIgBkAAAAAgEEEzAAAAAAADCJgBgAAAABgEAEzAAAAAACDCJgBAAAAABhEwAwAAAAAwCACZgAAAAAABhEwAwAAAAAwiIAZAAAAAIBBBMwAAAAAAAwiYAYAAAAAYBABMwAAAAAAgwiYAQAAAAAYRMAMAAAAAMAgAmYAAAAAAAaZWMBcVTevqs9V1Rer6ktV9df9+DtU1Wer6utVdWJV3XRSNQAAAAAAMDmTvIL5R0ke2Fq7e5IDkxxSVb+e5MVJXt5au1OSa5I8aYI1AAAAAAAwIRMLmFvn2v7pTfpHS/LAJO/px5+Q5NBJ1QAAAAAAwORM9B7MVbVrVV2Q5KokpyX5v0m+11q7rp/liiSb5lj26KraWlVbr7766kmWCUD0XYBp0nMBpkvfBZiciQbMrbXrW2sHJrldknslucsOLPv61tqW1tqWjRs3TqxGADr6LsD06LkA06XvAkzORAPmGa217yU5I8m9k+xZVRv6SbdL8i/TqAEAAAAAgKU1sYC5qjZW1Z798G5JHpLky+mC5sP62Y5M8sFJ1QAAAAAAwORsWHiWwfZNckJV7ZouyH53a+3DVXVJkndV1QuSfCHJmyZYAwAAAAAAEzKxgLm1dmGSXxkz/tJ092MGAAAAAGAVm8o9mAEAAAAAWHsEzAAAAAAADCJgBgAAAABgEAEzAAAAAACDCJgBAAAAABhkUQFzVd1nMeMAAAAAAFg/FnsF86sWOQ4AAAAAgHViw3wTq+reSQ5KsrGq/nxk0i2T7DrJwgAAAAAAWNnmDZiT3DTJ7v18e4yM/48kh02qKAAAAAAAVr55A+bW2ieTfLKqjm+tfXNKNQEAAAAAsAosdAXzjJtV1euTbB5dprX2wEkUBQAAAADAyrfYgPmkJK9L8sYk10+uHAAAAAAAVovFBszXtdb+caKVAAAAAACwquyyyPk+VFV/UlX7VtXeM4+JVgZr2Kb99k9VTe2xab/9l/slAwAAALAGLfYK5iP7n88eGdeS3HFpy4H14VtXXJ4jjjtnats78ZiDprYtAAAAANaPRQXMrbU7TLoQAAAAAABWl0UFzFX1hHHjW2tvXdpyAAAAAABYLRZ7i4x7jgzfPMmDknw+iYAZAAAAAGCdWuwtMp46+ryq9kzyrolUBAAAAADAqrDLwOX+M4n7MgMAAAAArGOLvQfzh5K0/umuSe6a5N2TKgoAAAAAgJVvsfdg/ruR4euSfLO1dsUE6gEAAAAAYJVY1C0yWmufTPLPSfZIsleSH0+yKAAAAAAAVr5FBcxVdXiSzyV5dJLDk3y2qg6bZGEAAAAAAKxsi71FxvOS3LO1dlWSVNXGJB9P8p5JFQYAAAAAwMq2qCuYk+wyEy73vrsDywIAAAAAsAYt9grmU6rqY0ne2T8/IslHJ1MSAAAAAACrwbwBc1XdKck+rbVnV9V/T3LfftK5Sd4+6eIAAAAAAFi5FrqC+RVJnpskrbX3JXlfklTVL/XTHjHR6gAAAAAAWLEWuo/yPq21i2aP7MdtnkhFAAAAAACsCgsFzHvOM223pSwEAAAAAIDVZaGAeWtV/dHskVX1h0nOn0xJAAAAAACsBgvdg/kZSd5fVY/LtkB5S5KbJvndSRYGAAAAAMDKNm/A3Fr71yQHVdUDkvxiP/ojrbVPTLwyAAAAAABWtIWuYE6StNbOSHLGhGsBAAAAAGAVWegezAAAAAAAMJaAGQAAAACAQQTMAAAAAAAMImAGAAAAAGAQATMAAAAAAIMImAEAAAAAGETADAAAAADAIAJmAAAAAAAGETADAAAAADCIgBkAAAAAgEEEzAAAAAAADCJgBgAAAABgEAEzAAAAAACDCJgBAAAAABhEwAzrwS4bUlVTe2zab//lfsUAAAAATMGG5S4AmIIbrssRx50ztc2deMxBU9sWAAAAAMvHFcwAAAAAAAwysYC5qvarqjOq6pKq+lJVPb0fv3dVnVZVX+t/7jWpGgAAAAAAmJxJXsF8XZJnttbuluTXkzylqu6W5DlJTm+tHZDk9P45AAAAAACrzMQC5tbala21z/fD30/y5SSbkjwyyQn9bCckOXRSNQAAAAAAMDlTuQdzVW1O8itJPptkn9balf2kbyfZZ45ljq6qrVW19eqrr55GmQDrmr4LMD16LsB06bsAkzPxgLmqdk/y3iTPaK39x+i01lpL0sYt11p7fWttS2tty8aNGyddJsC6p+8CTI+eCzBd+i7A5Ew0YK6qm6QLl9/eWntfP/pfq2rffvq+Sa6aZA0AAAAAAEzGxALmqqokb0ry5dbay0YmnZzkyH74yCQfnFQNAAAAAABMzoYJrvs+SX4/yUVVdUE/7n8meVGSd1fVk5J8M8nhE6wBAAAAAIAJmVjA3Fr7VJKaY/KDJrVdAAAAAACmY+L/yR8AAAAAAGuTgBkAAAAAgEEEzAAAAAAADCJgBgAAAABgEAEzAAAAAACDCJgBAAAAABhEwAwAAAAAwCACZgAAAAAABhEwAwAAAAAwiIAZAAAAAIBBBMwAAAAAAAwiYAYAAAAAYBABMwAAAAAAgwiYAQAAAAAYRMAMAAAAAMAgAmYAAAAAAAYRMAMAAAAAMIiAGQAAAACAQQTMAAAAAAAMImAGAAAAAGAQATMAAAAAAIMImAEAAAAAGETADAAAAADAIAJmAAAAAAAGETADAAAAADCIgBkAAAAAgEEEzAAAAAAADCJgBgAAAABgEAEzAAAAAACDCJgBAAAAABhEwAwAAAAAwCACZgAAAAAABhEwAwAAAAAwiIAZAAAAAIBBBMwAAAAAAAwiYAYAAAAAYBABMwAAsDLtsiFVNbXHpv32X+5XDACw6mxY7gIAAADGuuG6HHHcOVPb3InHHDS1bQEArBWuYAYAAAAAYBABMwAAAAAAgwiYAQAAAAAYRMAMAAAAAMAgAmYAYPp22ZCqmtpj0377L/crBgAAWJM2LHcBAMA6dMN1OeK4c6a2uROPOWhq2wIAAFhPXMEMAAAAAMAgAmYAAAAAAAYRMAMAAAAAMIiAGQAAAACAQQTMAAAAAAAMImAGAAAAAGAQATMAAAAAAINMLGCuqjdX1VVVdfHIuL2r6rSq+lr/c69JbR8AAAAAgMma5BXMxyc5ZNa45yQ5vbV2QJLT++cAAAAAAKxCEwuYW2tnJfm3WaMfmeSEfviEJIdOavsAAAAAAEzWtO/BvE9r7cp++NtJ9plrxqo6uqq2VtXWq6++ejrVAaxj+i7A9Oi5ANOl7wJMzrL9J3+ttZakzTP99a21La21LRs3bpxiZQDrk74LMD16LsB06bsAkzPtgPlfq2rfJOl/XjXl7QMAAAAAsESmHTCfnOTIfvjIJB+c8vYBAAAAAFgiEwuYq+qdSc5NcuequqKqnpTkRUkeUlVfS/Lg/jkAAAAAAKvQhkmtuLX22DkmPWhS2wQAAAAAYHqW7T/5AwAAAABgdRMwAwAAAAAwiIAZAAAAAIBBBMwAAAAAAAwiYAYAAAAAYBABMwAAAAAAgwiYAQAAAAAYRMAMAAAAAMAgAmYAAAAAAAYRMAMAAAAAMIiAGQAAAACAQQTMAAAAAAAMImAGAAAAAGAQATMAAAAAAIMImAEAAAAAGETADAAAAADAIAJmAAAAAAAGETADAAAAADCIgBkAAAAAgEEEzAAAAAAADCJgBgAAAABgEAEzAAAAAACDCJgBAAAAABhEwAwAAAAAwCACZgAAAAAABhEwAwAAAAAwiIAZAAAAAIBBBMwAAAAAAAwiYAYAAAAAYBABMwAAAAAAgwiYAQAAAAAYRMAMAAAAAMAgAmYAAAAAAAYRMAMAAAAAMIiAGQAAAACAQQTMAAAAAAAMImAGAAAAAGAQATMAAAAAAIMImAEAAAAAGETADAAAAADAIAJmAAAAAAAGETADAAAAADCIgBkAAAAAgEEEzACwQm3ab/9U1dQeAAAAsKM2LHcBAMB437ri8hxx3DlT296Jxxw0tW0BAACwNriCGQAAAACAQQTMAAAAAAAMImAGAAAAAGAQATMAAAAAAIMImKG3ab/9U1VTeax5u2yY2r6sqmzab//lfsXASqcvAQAATMSG5S4AVopvXXF5jjjunKls68RjDprKdpbNDddNbV8m62B/AjtPXwIAAJiIZbmCuaoOqaqvVNXXq+o5y1EDAAAAAAA7Z+oBc1XtmuQ1SeMeJkMAACAASURBVH4ryd2SPLaq7jbtOgAAAAAA2DnLcQXzvZJ8vbV2aWvtx0neleSRy1AHAAAAAAA7YTkC5k1JLh95fkU/DgAAAACAVaRaa9PdYNVhSQ5prf1h//z3k/xaa+1PZ813dJKj+6d3TvKVRW7iNkm+s0TlLjW1DbOSa0tWdn1qG2at1Pad1tohi12xvjt1ahtGbcOt5PrWSm2L7rs70XN3tKZpU9swahtGbcOspdqm0XdX8v5KVnZ9ahtGbcOobZgl6bvLETDfO8mxrbXf7J8/N0laay9covVvba1tWYp1LTW1DbOSa0tWdn1qG0ZtO2Yl1jRDbcOobZiVXFuysutT245ZiTXNUNswahtGbcOobcesxJpGreT61DaM2oZR2zBLVdty3CLjvCQHVNUdquqmSR6T5ORlqAMAAAAAgJ2wYdobbK1dV1V/muRjSXZN8ubW2pemXQcAAAAAADtn6gFzkrTWPprkoxNa/esntN6loLZhVnJtycquT23DqG3HrMSaZqhtGLUNs5JrS1Z2fWrbMSuxphlqG0Ztw6htGLXtmJVY06iVXJ/ahlHbMGobZklqm/o9mAEAAAAAWBuW4x7MAAAAAACsAQJmAAAAAAAGETADAAAAADCIgBkAAAAAgEEEzAAAAAAADCJgBgAAAABgEAEzAAAAAACDCJgBAAAAABhEwAwAAAAAwCACZgAAAAAABhEwAwAAAAAwiIAZAAAAAIBBBMxrSFV9tKr2XO46dlZV/U1VPXjAcgdX1Yd3ctuXjRl3ZFW9c9a421TV1VV1s0Wud0tVvXKBeY6qqlfPMe3axWxntZjvtfbTj62qZ01gu8+oqluMPF9T+5Xlo//qv6vFQv13Ecv/TlU9Z45p1/Y/N1fV7y3VNmE2PVfPXU6zP0/OM9+ZVbVlnumXVdVtlrg2/ZeJ0Xv13uW0VL13Ecu/saruNmb8T/dfVR06Os/ObnOtEDCvIa21h7XWvrfcdSxGdcYef621v2ytfXwKNWxY5KzvT/KQWc3ssCQfaq39aDHbaa1tba09bUidLKlnJFnwjxLsKP13h2vQf1ep1trJrbUXLTDb5iS/t8A8MJieu8M16LlLayV/ntwc/ZcJ0Xt3uAa9d2lNpfe21v6wtXbJArMdmmS7EHq9EzBPUVX9TFV9pKq+WFUXV9UR/fjLquolVXVRVX2uqu7Uj99YVe+tqvP6x3368btX1Vv6+S+sqkeNrOc2/fDj+3VdUFXHVdWu/eP4ftsXVdWf7eTreVFVPWXk+U+vOq2qZ/c1X1hVf92P21xVX6mqtya5OMl+4+rpxx3WD9+zqs7p99nnqmqPqrr5yOv/QlU9YExte1fVB/rtf6aqfnmkxn+qqk8n+afFvM7W2n8k+WSSR4yMfkySd1bVI6rqs30dH6+qfcZtp0bOdlbVvarq3H6Zc6rqziPr3a8/+/W1qvqrOfb7uH079tgaqqr2raqz+uPn4qq6Xz/+oX3tn6+qk6pq9378XMfw2P2zg7X8XFWdUlXnV9XZVXWXfvzxVfXKfh9eOnLM7FJVr62qf66q06o7035YVT0tyW2TnFFVZ4ys/3/3++0zQ+pjdZjrd2SeY1f/1X/H7fc13X/74/Qb1dmzqq6vqvv3086qqgPqxldv3KGv6aKqesHIql6U5H79a5g51m9bXS//WlW9ZGf2ESvfXL8X8xyveq6eO26/T6PnHtz3t4/079nrqg+lakzfrTGfJ6vqH6tqa1V9aabOAXVsdxz346+tMZ9Vq/t8/Jn+2HhBbbv6UP9dx+b6/Si9V+/dZl333qp6dFW9rB9+elVd2g/fsd+XqZGrkavqD6rqq1X1uSQzvx8HJfmdJC/tj/+f61f/6P4Y+mr1n9/Xndaax5QeSR6V5A0jz2/V/7wsyfP64Sck+XA//I4k9+2H90/y5X74xUleMbKevUbWc5skd03yoSQ36ce/tl/vPZKcNrLcnmNqfFySC8Y83jNm3l9J8smR55ck2S/JQ5O8PkmlO4nx4ST3T3dG/YYkv97PP7aeJMenO2N30ySXJrlnP/6WSTYkeWaSN/fj7pLk/yW5eZKDR/bdq5L8VT/8wCQX9MPHJjk/yW5zvEeXzTH+sCTv74dvm+RbSXZNsleS6sf/YZK/H7edWbXdMsmGfvjBSd7bDx+V5Mokt06yW7o/ilv6adf2P+fat2OPrVmv4dlzvLevHDPvM7PtmNw1yR7pjq2zkvxMP/4vkvzlAsfwXPvnqCSvnud35dgkz+qHT09yQD/8a0k+MXKcnNTvh7sl+frIe/XRfvx/S3JNksNGf0dGttOSPKIffkmS5y93n/CYzGOu35F5jl39V/9dr/33lCS/kOS3k5yX5HlJbpbkG7OXT3Jykif0w08Z2Vc/3ecjy1ya5FbpjpdvJtlvufuCx+Qec/1ezHO86rl67nL13IOT/DDJHfvXeVq/Dxbqu6OfJ/fuf+6a5Mwkv9w/P3Pmdc31HmSe47gfHvtZtd8fj+2Hnxz916PpvdF79d42f+9Nlw+c1w+/J91n3U1JjkzywtHlk+zbv/cb0x0rn862z8DHp88YRpaZeW8eluTjy90PluOx2Ev2WRoXJfn7qnpxul/+s0emvXPk58v74QcnuVtVzcxzy+quWHpwujNaSZLW2jWztvOgdM30vH7Z3ZJcle6PwB2r6lVJPpLk1NkFttbenuTti3kxrbUvVNXPVtVt0/3SXdNau7yqnp6uMX2hn3X3JAek++X8ZmvtM/34Sxeo585Jrmytnddv7z+SpKrum66hp7X2z1X1zSQ/P2vZ+6ZrgmmtfaKqbl1Vt+ynndxa+8FiXuOIjyR5bb+Ow9M16eur6nZJTqyqfdM1nW+MLDPXdm6V5ISqOiDdh8abjEw7rbX23f51vq9/HVtHpj804/ft2Zn72EqStNZemuSli3y95yV5c1XdJMkHWmsXVNVvpAtyP90fVzdNcu7IMuOO4fn2z4L64/2gJCeN/B6M3ofqA621G5JcUtuuzrtvkpP68d+ukauVx/hxuj+aSfcH+iE7Uh+riv6r/yb672Kcne4fEndI8sIkf5Tuqprzxsx7n/TvdbqrdF48z3pPb639e5JU1SVJbp/k8kXWxOqj5+q5yerouUnyudbazFVs7+xr+WHm77ujDq+qo9MFU/v2y124A9uf6zhO5v6seu90X9FOupDw7+ZZv/67fui9em+i986ptfbt/oroPdKdrHhHus+990vyvlmz/1qSM1trV/c1npjtj4NRM8ufn+5kx7ojYJ6i1tpXq+pX053ReEFVnd5a+5uZyaOz9j93SXf27Yej6xn5AzCXSnJCa+25202ounuS30x3pvvwJE+cNf1x6c48zfb11tphY8aflO5M039LcuLI9l/YWjtu1ro3J/nPmeettWsWqmdC/nPhWW6stfaDqjolye+m+2P75/2kVyV5WWvt5Ko6ON2ZxIW287dJzmit/W6/T84c3dTsTc96PnbfJsk8x9bM9GenO2M821lt1v2aWmtnVfe16IcnOb66r5Fck+4P0mPneF3jjuH59s9i7JLke621A+eYPnpPqgV/Mcb4SWttptbroyeuWfpvbY7+m+i/i3FWkj9Od/XMX6Y7Jg9O9w+LhbY9n9F+rd+ucXpubY6em6yCnjtPLZX5++7Mtu6Q5FnproC8pqqOT3el446Y8zjO0nxW1X/XCb23NkfvTfTehZyT5A+SfCXd59snpjtp98xFLj+XmV67bvusezBPUX/m7b9aa29Ld2bnV0cmHzHyc+YMzalJnjqy/EzIdlq6r6LOjN9r1qZOT3JYVf1sP33vqrp9dfdL2qW19t4kz5+1/STdGcXW2oFjHuOafdI1+ceka/on9eM+luSJte3+kJtmapm1Pxaq5ytJ9q2qe/bz71HdjfLPTt+4qurn032d5yuzlh2d5+Ak35k5I7kT3pmu0e+Tbe/RrZL8Sz985CLXM7rMUbOmPaR/v3ZLd1XCp2dNH7tvFzi2knRnFOd4b7dr9lV1+yT/2lp7Q5I39uv7TJL71LZ7dv1Mv/9njDuGh+yf0Zr/I8k3qurR/Tar/5Awn08neVR192LeJ10wMuP76b5uzjqj/263P/Rf/Xcun0v3zZEb+n9wXpDkmHTB82yfzrYrnEb/QaHXrnN67nb7Q89doT23d6/q7im/S7rj8lOZv++O9rhbpgt5/r3/3PlbC++W7Yw9jhdY5jPZ9g2Sx4yM13/XMb13u/2h9+q945ydLpw+K92V2g9I8qPWf9NjxGeT/EZ1V6ffJMmjR6bptWOsy1R9Gf1SuhuB35DkJ+muEJqxV1VdmO6sx8zZmqcleU0/fkO6X4AnJ3lBP/7idGdH/jojl/O31i6pqucnObX/Zf1Juj8QP0jyltr2v6mOO0u+Q1prX6ru6wX/0lq7sh93alXdNcm51Z39vDbJ4/taR22ar57W2o+ru3n8q/oG+IN0X9d5bZJ/rKqLklyX5KjW2o/qxmdaj033FeMLk/xXBoSbY5yW5K1J3jRyJcGx6W7fcE2ST6T7SvFCXpLuKyvPT/dVmFGfS/LedF9tfltrbfTrKvPt2ztl7mNriIOTPLuqftJv4wmttaur6qh0/9nAzG0qnp/kq/3wuGP42Oz4/pntcene7+en+3rPu5J8cZ7535vua1uXpPv63+eTzPyxeH2SU6rqW6217f6zBtY0/ffG9F/9d6z+/bw83Qf8pPsQ/th0X7ud7elJ3lFVf5HkgyPjL0xyfVV9Md096mZ/tZa1T8+9MT135fbcpLsF0Kv7dZ+R7j6oN8zTd2/0ebKqvpDkn9N97pwd1ixonuP4m/Ms9owkb6uq56W7d/7MZ139d33Te29M79V7xzk73e0xzmrdbUgu79dzI621K6vq2HRh//fSXXQx411J3lDdfz4418mRdae2Hbcsl6q6LN1NyL+z3LWsd1V1WWtt83LXsdqstGO4qnZvrV1bVbdO90f0Pq21by93Xaw8K+3YXc/032Ecw6wmjteVQ8/tVHfl4bNaa7+93LXsiKq6RZIftNZaVT0m3X/498jlrouVSe9dOfTezmrtvczPFczAWvThqtoz3X8K8LfCZQAA1pB7JHl1dZcYfi/Tua8sAMzJFcwwoqqe0Vp7xXLXsV70X+t79KzRJ7XW/vdy1AMsH/13uvRfWN/03Ompqs8mudms0b/fWht36yFgDdN7p0fvnT4BMwAAAAAAg6yKW2Qccsgh7ZRTTlnuMgBWm1p4lvH0XYBBBvVdPRdgMH0XYLrG9t1dxo1cab7zHfeiB5gmfRdgevRcgOnSdwGW1qoImAEAAAAAWHkEzAAAAAAADCJgBgAAAABgEAEzAAAAAACDCJgBAAAAABhEwAwAAAAAwCACZgAAAAAABhEwAwAAAAAwiIAZAAAAAIBBBMwAAAAAAAyyYZIrr6rLknw/yfVJrmutbamqvZOcmGRzksuSHN5au2aSdQAAAAAAsPSmcQXzA1prB7bWtvTPn5Pk9NbaAUlO758DAAAAALDKLMctMh6Z5IR++IQkhy5DDQAAAAAA7KRJB8wtyalVdX5VHd2P26e1dmU//O3k/7N399GWlfV9wL8/GBBfMIiOlAwzgUTrS80Sk5HqaFPFlxJNoibEMTUJtCTQpTEmqYnatKmmrlVN0qiJNYIvlVSDgyjFlxQlCKJigVFQedFICJQBldFoomk1RZ/+cfaV43DvzJ1n7j7n3pnPZ62z7j777H2e3zln39/c+Z7n7JOjRq4BAAAAAIARjHoO5iSPb63dVlUPTHJRVX12+sbWWquqttiOQyB9epJs2rRp5DIB0HcBZkfPBZgtfRdgPKPOYG6t3Tb8vCPJ+UlOSPKlqjo6SYafdyyx71mttc2ttc3r168fs0wAou8CzJKeCzBb+i7AeEYLmKvq3lV1+MJykqcmuTbJe5KcMmx2SpILxqoBAAAAAIDxjHmKjKOSnF9VC+P8WWvtwqq6Ksm5VXVakluSPHvEGgAAAAAAGMloAXNr7aYkj1xk/VeSPGmscQEAAAAAmI1Rz8EMAAAAAMD+S8AMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAAAAsApt2LgpVTWzy4aNm+b9kIE1aN28CwAAAADg7m7fcWu2nnn5zMbbdsaWmY0F7D/MYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAAAAAOgiYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAAAAAOgiYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAAAAAOgiYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAAAAAOgiYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAAAAAOgiYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAAAAAOgiYAYAAAAAoMvoAXNVHVxVV1fV+4brx1XVFVV1Y1Vtq6pDx64BAAAAAICVN4sZzC9McsPU9VcleXVr7UFJvprktBnUAAAAAADAChs1YK6qY5I8PcmbhuuV5MQk5w2bnJ3kmWPWAAAAAADAOMaewfyaJL+V5DvD9fsn+Vpr7c7h+o4kGxbbsapOr6rtVbV9586dI5cJgL4LMDt6LsBs6bsA4xktYK6qn0hyR2vtEz37t9bOaq1tbq1tXr9+/QpXB8Cu9F2A2dFzAWZL3wUYz7oR7/txSX6qqp6W5LAk903y2iRHVNW6YRbzMUluG7EGAAAAAABGMtoM5tbaS1trx7TWjk3ynCQfaq09N8klSU4eNjslyQVj1QAAAAAAwHjGPgfzYl6c5Deq6sZMzsn85jnUAAAAAADAPhrzFBnf1Vq7NMmlw/JNSU6YxbgAAAAAAIxnHjOYAQAAAADYDwiYAQAAAADoImAGAAAAAKCLgBkAAAAAgC4CZgAAAAAAugiYAQAAAADoImAGAAAAAKCLgBkAAAAAgC4CZgAAAAAAugiYAQAAAADoImAGAAAAAKCLgBkAAAAAgC4CZgAAAAAAugiYAQAAAADoImAGAAAAAKCLgBkAAAAAgC4CZgAAAAAAugiYAQAAAADoImAGAAAAAKCLgBkAAAAAgC4CZgAAAAAAugiYAQAAAADoImAGAAAAAKCLgBkAAAAAgC4CZgAAAAAAugiYAQAAAADoImAGAAAAAKCLgBkAAAAAgC4CZgAAAAAAugiYAQAAAADoImAGAAAAAKCLgBkAAAAAgC4CZgAAAAAAugiYAQAAAADoImAGAAAAAKCLgBkAAAAAgC4CZgAAAAAAugiYAQAAAADoImAGAAAAAKCLgBkAAAAAgC4CZgAAAAAAugiYAQAAAADoImAGAAAAAKCLgBkAAAAAgC4CZgAAAAAAugiYAQAAAADoImAGAAAAAKCLgBkAAAAAgC4CZgBYpTZs3JSqmtllw8ZN837IAAAArDHr5l0AALC423fcmq1nXj6z8badsWVmYwEAALB/MIMZAAAAAIAuowXMVXVYVV1ZVZ+qquuq6uXD+uOq6oqqurGqtlXVoWPVAAAAAADAeMacwfytJCe21h6Z5PgkJ1XVY5K8KsmrW2sPSvLVJKeNWAMAAAAAACMZLWBuE98Yrh4yXFqSE5OcN6w/O8kzx6oBAAAAAIDxjHoO5qo6uKquSXJHkouS/FWSr7XW7hw22ZFkwxL7nl5V26tq+86dO8csE4DouwCzpOcCzJa+CzCeUQPm1tq3W2vHJzkmyQlJHroX+57VWtvcWtu8fv360WoEYELfBZgdPRdgtvRdgPGMGjAvaK19LcklSR6b5IiqWjfcdEyS22ZRAwAAAAAAK2u0gLmq1lfVEcPyPZM8JckNmQTNJw+bnZLkgrFqAAAAAABgPOv2vEm3o5OcXVUHZxJkn9tae19VXZ/kHVX1iiRXJ3nziDUAAAAAADCS0QLm1tqnkzxqkfU3ZXI+ZgAAAAAA1rCZnIMZAAAAAID9j4AZAAAAAIAuAmYAAAAAALoImAEAAAAA6CJgBgAAAACgy7IC5qp63HLWAQAAAABw4FjuDOY/XuY6AAAAAAAOEOt2d2NVPTbJliTrq+o3pm66b5KDxywMAAAAAIDVbbcBc5JDk9xn2O7wqfV/l+TksYoCAAAAAGD1223A3Fr7cJIPV9VbW2u3zKgmAAAAAADWgD3NYF5wj6o6K8mx0/u01k4coygAAAAAAFa/5QbM70zyhiRvSvLt8coBAAAAAGCtWG7AfGdr7U9GrQQAAAAAgDXloGVu996qel5VHV1VRy5cRq0MAAAAAIBVbbkzmE8Zfv7m1LqW5AdXthwAAAAAANaKZQXMrbXjxi4EAAAAAIC1ZVkBc1X94mLrW2t/urLlAAAAAACwViz3FBmPnlo+LMmTknwyiYAZAAAAAOAAtdxTZLxg+npVHZHkHaNUBAAAAADAmnBQ535/n8R5mQEAAAAADmDLPQfze5O04erBSR6W5NyxigIAAAAAYPVb7jmY/2Bq+c4kt7TWdoxQDwAAAAAAa8SyTpHRWvtwks8mOTzJ/ZL8w5hFAQAAAACw+i0rYK6qZye5MsnPJnl2kiuq6uQxCwMAAAAAYHVb7ikyfjvJo1trdyRJVa1P8hdJzhurMAAAAAAAVrdlzWBOctBCuDz4yl7sCwAAAADAfmi5M5gvrKoPJDlnuL41yZ+PUxIAAAAAAGvBbgPmqnpQkqNaa79ZVT+d5PHDTR9P8vaxiwMAAAAAYPXa0wzm1yR5aZK01t6d5N1JUlU/PNz2k6NWBwAAAADAqrWn8ygf1Vr7zK4rh3XHjlIRAAAAAABrwp4C5iN2c9s9V7IQAAAAAADWlj0FzNur6pd3XVlVv5TkE+OUBAAAwFq2YeOmVNXMLhs2bpr3QwaAA9aezsH8a0nOr6rn5q5AeXOSQ5M8a8zCAAAAWJtu33Frtp55+czG23bGlpmNBQB8r90GzK21LyXZUlVPTPKIYfX7W2sfGr0yAAAAAABWtT3NYE6StNYuSXLJyLUAAAAAALCG7OkczAAAAAAAsCgBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQJfRAuaq2lhVl1TV9VV1XVW9cFh/ZFVdVFWfH37eb6waAAAAAAAYz5gzmO9M8m9baw9P8pgkz6+qhyd5SZKLW2sPTnLxcB0AAAAAgDVmtIC5tfaF1tonh+WvJ7khyYYkz0hy9rDZ2UmeOVYNAAAAAACMZybnYK6qY5M8KskVSY5qrX1huOmLSY5aYp/Tq2p7VW3fuXPnLMoEVsiGjZtSVTO7bNi4ad4Peb+g7wLMjp4LMFv6LsB41o09QFXdJ8m7kvxaa+3vquq7t7XWWlW1xfZrrZ2V5Kwk2bx586LbAKvT7TtuzdYzL5/ZeNvO2DKzsfZn+i7A7Oi5ALOl7wKMZ9QZzFV1SCbh8ttba+8eVn+pqo4ebj86yR1j1gAAAAAAwDhGC5hrMlX5zUluaK394dRN70lyyrB8SpILxqoBAAAAAIDxjHmKjMcl+YUkn6mqa4Z1/y7JK5OcW1WnJbklybNHrAEAAAAAgJGMFjC31j6apJa4+UljjQsAAAAAwGyMeg5mAAAA5m/Dxk2pqpldAIADx5inyAAAAGAVuH3Hrdl65uUzG2/bGVtmNhYAMF9mMAMAAAAA0EXADAAAAABAFwEzAAAAAABdBMwAAAAAAHQRMMMBwLeGAwAAADCGdfMuABifbw0HAAAAYAxmMAMAAAAA0EXADAAAAABAFwEzAAAAAABdBMwAAAAAAHQRMAMAAAAA0EXADAAAAABAFwEzAAAAAABdBMwAAAAAAHQRMAMAAAAA0EXADAAAAABAFwEzADBx0LpU1UwuGzZumvejBQAAYAWsm3cBAMAq8Z07s/XMy2cy1LYztsxkHAAAAMZlBjMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQZbSAuareUlV3VNW1U+uOrKqLqurzw8/7jTU+AAAAAADjGnMG81uTnLTLupckubi19uAkFw/XAQAAAABYg0YLmFtrlyX5m11WPyPJ2cPy2UmeOdb4AAAAAACMa9bnYD6qtfaFYfmLSY5aasOqOr2qtlfV9p07d86mOoADmL4LMDt6LsBs6bsA45nbl/y11lqStpvbz2qtbW6tbV6/fv0MKwM4MOm7ALOj5wLMlr4LMJ5ZB8xfqqqjk2T4eceMxwcAAAAAYIXMOmB+T5JThuVTklww4/EBAAAAAFghowXMVXVOko8neUhV7aiq05K8MslTqurzSZ48XAcAAAAAYA1aN9Ydt9Z+bombnjTWmAAAAAAAzM7cNW+NYwAAIABJREFUvuQPYMUctC5VNZPLho2b5v1oAQAAAFaN0WYwA8zMd+7M1jMvn8lQ287YMpNxAAAAANYCM5gBAAAAAOgiYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAAAAAOgiYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAAAAAOgiYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAAAAAOgiYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAADmYMPGTamqmVwAAMaybt4FAAAAHIhu33Frtp55+UzG2nbGlpmMAwAceMxgBgAAAACgi4AZAAAAAIAuAmYAAAAAALoImAEAAAAA6CJgBgAAAACgi4AZAAAAgOSgdamqmV02bNw070cMrIB18y4AAAAAgFXgO3dm65mXz2y4bWdsmdlYwHjMYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAAAAAOgiYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAAAAAOgiYAYAAAAAoIuAGQAAAACALgJmmIMNGzelqmZ2AVaG310AAAD4XuvmXQAciG7fcWu2nnn5zMbbdsaWmY0F+zO/uwAAAPC9zGAGAAAAAKCLgBkAAAAAgC4CZgAAAAAAugiYAQAAAADoImAGAAAAAKCLgBkAAAAAgC4CZgAAAAAAugiYAQAAAADoImAGAAAAAKCLgBkAAAAAgC4CZgAAANa2g9alqmZy2bBx07wfLQCsKuvmXQAAAADsk+/cma1nXj6TobadsWUm4wDAWmEGMwAAAAAAXeYSMFfVSVX1uaq6sapeMo8aAAAAAADYNzMPmKvq4CT/NcmPJ3l4kp+rqofPug4AAAAAAPbNPGYwn5DkxtbaTa21f0jyjiTPmEMdAAAAAADsg2qtzXbAqpOTnNRa+6Xh+i8k+aettV/ZZbvTk5w+XH1Iks8tc4gHJPnyCpW70tTWZzXXlqzu+tTWZ3+p7cuttZOWe8f67syprY/a+q3m+vaX2pbdd/eh5+5tTbOmtj5q66O2PvtTbbPou6v5+UpWd31q66O2PmrrsyJ9d9UGzPtw/9tba5tX4r5Wmtr6rObaktVdn9r6qG3vrMaaFqitj9r6rObaktVdn9r2zmqsaYHa+qitj9r6qG3vrMaapq3m+tTWR2191NZnpWqbxykybkuycer6McM6AAAAAADWkHkEzFcleXBVHVdVhyZ5TpL3zKEOAAAAAAD2wbpZD9hau7OqfiXJB5IcnOQtrbXrVnCIs1bwvlaa2vqs5tqS1V2f2vqobe+sxpoWqK2P2vqs5tqS1V2f2vbOaqxpgdr6qK2P2vqobe+sxpqmreb61NZHbX3U1mdFapv5OZgBAAAAANg/zOMUGQAAAAAA7AcEzAAAAAAAdBEwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAAAAAEAXAfN+qqr+vKqOWAV1fH9Vndex3x7rr6rfraon91f33fu5tKqO3WXdP6+qj++ybl1Vfamqvn+Z97vHx15VT6iq9y1x281V9YDljLUW7O6xDrefWlWvG2HcU6dfs/3teWX10X/3aiz9dwb21H+Xsf/mqvqjJW67uaoeUFVHVNXzVmpMWA79dq/G0m877fq35G62e2tVnbyb2y+tqs0rXJvey1zov3s1lv7baaX67zL2X/S1nn7+huUtKzXm/mjdvAtgHK21p827hiRprd2e5G6/dFW1rrV2527222P9rbXf2cfyducjSY6pqh9ord0yrHtykuuGx7Rbw+Nb9LEzc6cmuTbJHl83WAn67z7Tf1eZ1tr2JNv3sNkRSZ6X5PXjVwQT+u0+02+X59Ss3r8l9V7mQv/dZ/rv8pyaGfTfZb7WT0jyjSSXj1nLWmYG85xU1b2r6v1V9amquraqtg7rb66q36uqz1TVlVX1oGH9+qp6V1VdNVweN6y/T1X9t2H7T1fVz0zdzwOG5Z8f7uuaqjqzqg4eLm8dxv5MVf36Pj6eV1bV86euv6yqXlRVx1bVtcO6U6vqPVX1oSQXV9W9qurcqrq+qs6vqisW3tWvu2ZEHVtVN1TVG6vquqr6YFXdc9jmu+8YVdWjq+ry4fm8sqoOH/b9SFV9crhsWaT0RbXWvpPk3CTPmVr9nCTnVNUJVfXxqrp6GPMhSzy+6ce+u1ruOxwLn6uqN1TV3X4vZ/QaLnVM/mhVfbiqPlFVH6iqo4f1l1bVa4earq2qE4b1iz4/e1nLUsf7y6rqLcPYN1XVr07t8x+G5/CjVXXOcPydnGRzkrcPdd5z2PwFw+vwmap66L48b6w9uznW9d/ov4s8v/t9/x0ewxE18ZWq+sVh/Z9W1VPqe2dv3H84Fq6rqjclqeFuXpnkh4aafn9Yd5+qOq+qPltVb6+quvvo7M92c2zrt9FvF3l+Z/EaHjvVk24YetS9htvu1nNrkb8lq+p3huPz2qo6q6e3VdVTh+f3k1X1zqq6z7D+5qp6ee3yd+rwu3HRcHy8qapuGY59vZdFlf6r/97lgO6/w2v37mH5GVX1f6vq0Ko6rKpuGtZPv9YnDXV+MslPL9Se5N8k+fWhln823P2PDa/RTWU2c9Jac5nDJcnPJHnj1PXvG37enOS3h+VfTPK+YfnPkjx+WN6U5IZh+VVJXjN1P/ebup8HJHlYkvcmOWRY//rhfn80yUVT+x2xSI3PTXLNIpfzFtn2UUk+PHX9+iQbkxyb5Nph3alJdiQ5crj+oiRnDsuPSHJnks271H/ssP74Yf25SX5+WH5rJu/YHZrkpiSPHtbfN5PZ+fdKctiw7sFJti/xWlya5NhF1m9OcvWwfI8kdyQ5cuH+h/VPTvKuJR7f9GNftJZM3gX7ZpIfTHJwkouSnDyn1/Bux2SSQzJ5h279sG5rkrdMPW9vHJZ/bOqxLvX8PCHD8bzE63Bqktft4Xh/2VDPPYbn5itDjY8eHtdhSQ5P8vkkL5qqc/PUODcnecGw/Lwkb5p3P3CZ7WWxY33q2NB/9d95vIbz7r9vSPL04Vi4auq+P5/k3tP7J/mjJL8zLD89Sctdx8u1U/f5hCR/m+SYTCY0fDzD75HLgXNZ7Ngeft4c/Xa6/mOj387qNTw2k771uOH6W4bXaE89d/pvySOnlv97kp+cfq128/tw6fB8PyDJZUnuPax/ce7qqzdnkb9Tk7wuyUuH5ZOi97rs4RL9N9F/E/03w2t107D8B5n8rfu4JP88yTm7vNaHJbl1eA5rOB4WfkdeliFjmNrnnZn02ocnuXHev/fzvjhFxvx8Jsl/qapXZXLAfmTqtnOmfr56WH5ykodPvUFz35q80/3kTL3r1Vr76i7jPCmTxnDVsO89M2lc703yg1X1x0nen+SDuxbYWnt7krcv58G01q6uqgfW5Pw465N8tbV2a+1yrqFMGtTfDMuPT/LaYf9rq+rTS9z9X7fWrhmWP5FJY5r2kCRfaK1dNdzX3yWTd22TvK6qjk/y7ST/eDmPZeoxba/JO7YPyaTpXtFa+5uq2pjk7Kp6cCYN8pAlHt+0Q3ZTy5WttYV3zs7J5HmZPpfSTF7DLHJMVtUjMvnH+KJh7IOTfGFqn3OGcS6rqvvW5DxWh2fp52e5ljrek+T9rbVvJflWVd2R5KhM/oG4oLX2zSTfrKr37uH+3z38/ESGdyU5oOi/+u8C/XfiI5kE1bck+ZMkp1fVhkyOpb/fZXLIj2Xom62191fVrsf9tCtbazuSpKquyeT4+egya2L/oN/qtwtWS79Nkltbax8blt+W5FeTXJjd99xpT6yq38ok0DkyyXVDncv1mEzCiI8NYx2aSRC8YLG/Ux+f5FlJ0lq7UO9lGfRf/XfBAd1/W2t3VtVfVdXDkpyQ5A8z+Xv24Ez+Bp720EyOh88nSVW9Lcnpu7n7/9Ems9Gvr6qjdlfHgUDAPCettb+sqh9J8rQkr6iqi1trv7tw8/Smw8+DkjxmCNC+q5bxiYAkZ7fWXnq3G6oemeRfZDLV/9lJ/vUutz83yW8ucp83ttYWm/7/zkze9flHSbYtUc/f76ngRXxravnbmTS85fj1JF9K8shMnr9v7n7zRZ2TyT+oD8td/xD/pySXtNaeNfyDdunU9ks9vt3V0nbZdtfrM3kNFzsmk5yfyXmgHrvE41qs9t09P8u1u+N91+Ohp48t3Efv/qxh+u9e0X8PjP57WZLnZzJj6bczCTFOzt3/6N5bK9GvWcP0272i387uNVyslsrue+7CWIdlMrtv8xBuvSyTGW97ozIJiX5uidv39e9UvRf9d+/ov/t//70syY8n+X9J/iKT2ccHL1H73pg+dg740xE5B/OcDO+8/Z/W2tuS/H6SH5m6eevUz4V3sz+Y5AVT+x8/LF6UyX8KF9bfb5ehLk5yclU9cLj9yKr6gZqcL+mg1tq7kvz7XcZPMnk3qrV2/CKXpc4tsy2T5nhyJs1/Tz6WSZNKVT08yQ8vY5/FfC7J0VX16OG+Dq+qdZl8xPgLwztKv5BJA9lb5yT5+SQnJrlgWPd9SW4blk9d5v3srpYTquq4mpwLaWvuPsNgJq/hEsfk55Ksr6rHDtscUlX/ZGq3hXN5PT7J37bW/rbz+dnVUsf7Uj6W5Cdrch6l+yT5ianbvp7JrD5Iov8O9N8J/XdS662ZfETywcMMl49m8pHFyxbZ/LIk/3IY+8eTLBz3ei13o98m0W8XrIp+O9i00Fsz6Wcfze577nR/Wwgzvjz8zdlzzs3/leRxdde5b+9dVXua+Th9HD01ei97oP8m0X8X6L+TSRO/luTjrbWdSe6fycz0a3fZ7rNJjq2qHxquT78RqN/ugYB5fn44yZU1+djSf0zyiqnb7leTj2+8MJN3opLJRwc21+TE+tdn8g5Shv3uV5OTnH8qyROnB2mtXZ9JM/jgcJ8XJTk6yYYklw7jvy3J3d6t2luttesy+YW7rbW21Ecapr0+k0Zy/fA4rsvknGF7O+4/ZNIo/3h4Di7KpPm8Pskpw7qHpuPdzNbaDcN+H2qtLez/e0n+c1VdneXPCNhdLVdlcl61G5L8dSaz1qZrmNVreLdjcnhuT07yqqH2a5JMf2HAN4fn4Q1JThvW9Tw/u1rqeF9Um3xc6T1JPp3kf2bykbCFY+mtSd5Q3/slfxzY9F/9d4H+e5crkvzlsPyRTB7jYh+pfnkmX2hyXSYf3f7fSdJa+0omH/e+tu76oinQb/XbBaul3yaTMOP5VXVDJkHtn+yh5741w9+SmcxWe2MmocQHhse1V4Zw49RMvszr05kEfHv60umXJ3lqTb7Q62eTfDHJ1/VedkP/1X8X6L+Tv3OPyl2TJz6d5DOtte+ZUd0mM/hPT/L+mnzJ3x1TN783ybPqe7/kjym1y/PJnFXVzZlM+f/yvGsZW1UdnMmJ5L85vEP0F0keMjSYWdZxaZJTW2s3z3LctW543l7UWts+71qSyTcct9a+UZNvor0syemttU/Ouy7WDv1X/10rVlv/hb2l3+q381KTj5u/r7X2iDmXsleq6h5Jvt0m5xJ9bCahzJ4+4Qd3o//qv/OyVvsvy+d8TMzTvZJcUlWHZHK+mufNutmzXzmrJh99OiyTc0gJl2Fp+i/AbOi3rIRNSc4dPuL+D0l+ec71wFqg/8IMmcHMAa+qTs3k2z+/Nu9aDgRV9a8y+TjWtI+11p6/2PbA/kv/nS39Fw5c+u3sVNX5SY7bZfWLW2sfmEc9wHzpv7Oj/86XgBkAAAAAgC6+5A8AAAAAgC5r4hzMJ510UrvwwgvnXQbAWlO9O+q7AF26+q6eC9BN3wWYrUX77pqYwfzlL+/3X3AKsKrouwCzo+cCzJa+C7Cy1kTADAAAAADA6iNgBgAAAACgi4AZAAAAAIAuAmYAAAAAALoImAEAAAAA6CJgBgAAAACgi4AZAAAAAIAuAmYAAAAAALoImAEAAAAA6LJuzDuvqpuTfD3Jt5Pc2VrbXFVHJtmW5NgkNyd5dmvtq2PWAQAAAADAypvFDOYnttaOb61tHq6/JMnFrbUHJ7l4uA4AAAAAwBozj1NkPCPJ2cPy2UmeOYcaAAAAAADYR2MHzC3JB6vqE1V1+rDuqNbaF4blLyY5auQaAAAAAAAYwajnYE7y+NbabVX1wCQXVdVnp29srbWqaovtOATSpyfJpk2bRi4TAH0XYHb0XIDZ0ncBxjPqDObW2m3DzzuSnJ/khCRfqqqjk2T4eccS+57VWtvcWtu8fv36McsEIPouwCzpuQCzpe8CjGe0gLmq7l1Vhy8sJ3lqkmuTvCfJKcNmpyS5YKwaAAAAAAAYz5inyDgqyflVtTDOn7XWLqyqq5KcW1WnJbklybNHrAEAAAAAgJGMFjC31m5K8shF1n8lyZPGGhcAAAAAgNkY9RzMAAAAAADsvwTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQJfRA+aqOriqrq6q9w3Xj6uqK6rqxqraVlWHjl0DAAAAAAArbxYzmF+Y5Iap669K8urW2oOSfDXJaTOoAQAAAACAFTZqwFxVxyR5epI3DdcryYlJzhs2OTvJM8esAQAAAACAcYw9g/k1SX4ryXeG6/dP8rXW2p3D9R1JNiy2Y1WdXlXbq2r7zp07Ry4TAH0XYHb0XIDZ0ncBxjNawFxVP5HkjtbaJ3r2b62d1Vrb3FrbvH79+hWuDoBd6bsAs6PnAsyWvgswnnUj3vfjkvxUVT0tyWFJ7pvktUmOqKp1wyzmY5LcNmINAAAAAACMZLQZzK21l7bWjmmtHZvkOUk+1Fp7bpJLkpw8bHZKkgvGqgEAAAAAgPGMfQ7mxbw4yW9U1Y2ZnJP5zXOoAQAAAACAfTTmKTK+q7V2aZJLh+Wbkpwwi3EBAAAAABjPPGYwAwAAAACwHxAwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAABkw8ZNqaqZXTZs3DTvhwysgHXzLgAAAACA+bt9x63ZeublMxtv2xlbZjYWMB4zmAEAAAAA6CJgBgAAAACgi4AZAAAAAIAuAmYAAAAAALoImAEAAAAA6CJgBgAAAACgi4AZAAAAAIAuAmYAAAAAALoImAEAAAAA6CJgBgAAAACgi4AZAAAAAIAuAmYAAAAAALoImAEAAAAA6DJawFxVh1XVlVX1qaq6rqpePqw/rqquqKobq2pbVR06Vg0AAAAAAIxnzBnM30pyYmvtkUmOT3JSVT0myauSvLq19qAkX01y2og1AAAAAAAwktEC5jbxjeHqIcOlJTkxyXnD+rOTPHOsGgAAAAAAGM+o52CuqoOr6pokdyS5KMlfJflaa+3OYZMdSTaMWQMAAAAAAOMYNWBurX27tXZ8kmOSnJDkocvdt6pOr6rtVbV9586do9UIwIS+CzA7ei7AbOm7AOMZNWBe0Fr7WpJLkjw2yRFVtW646Zgkty2xz1mttc2ttc3r16+fRZkABzR9F2B29FyA2dJ3AcYzWsBcVeur6ohh+Z5JnpLkhkyC5pOHzU5JcsFYNQAAAAAAMJ51e96k29FJzq6qgzMJss9trb2vqq5P8o6qekWSq5O8ecQaAAAAAAAYyWgBc2vt00ketcj6mzI5HzMA8P/bu9sYS+/yPODXvR5c3mtQLMtZdmW3RRQ3TQFtCFmitI2hNUoaSEVZUEtRFcpWBYKbNhVJP1T5UlEpoqnaiq4FLo5KzDrGCIfQACUuKWwKGEMA81IoDfFiY5uihhi1Ihvf/TBnzXi79s78Z85znpn5/aSjnXPm5bmO5b0M1zznOQAAALCLTXINZgAAAAAA9h4DMwAAAAAAQwzMAAAAAAAMMTADAAAAADDEwAwAAAAAwJBNDcxV9fzNPAYAAAAAwP6x2TOY/80mHwMAAAAAYJ9Ye7RPVtWPJDma5NKq+rkNn3pykouWGQwAAAAAgHl71IE5ycVJnrj4uidtePzbSV66rFAAAAAAAMzfow7M3f3hJB+uqrd399cmygQAAAAAwC5woTOYz/pTVXVdkis2fk93//gyQgEAAAAAMH+bHZh/Pcm/T/LWJH+yvDgAAAAAAOwWmx2Yz3T3W5aaBAAAAACAXeXAJr/uN6rqH1bV5VX11LO3pSYDACZ18NDhVNUkt4OHDq/66QIAALADNnsG86sWf/78hsc6yZ/Z2TgAwKrcffquHDtxapJjnTx+dJLjAAAAsFybGpi7+8plBwEAAAAAYHfZ1MBcVX/3fI9396/ubBwAAAAAAHaLzV4i44c2fPzYJFcnuSOJgRkAAAAAYJ/a7CUyXr/xflVdkuSdS0kEAAAAAMCucGDw+76TxHWZAQAAAAD2sc1eg/k3kvTi7kVJnpnkpmWFAgAAAABg/jZ7DeZf3vDxmSRf6+7TS8gDAAAAAMAusalLZHT3h5N8McmTkjwlyXeXGQoAAAAAgPnb1MBcVS9L8vEkfyvJy5J8rKpeusxgAAAAAADM22YvkfHPkvxQd9+XJFV1aZL/nOTmZQUDAAAAAGDeNnUGc5IDZ8flhf+1he8FAACApTl46HCqapLbwUOHV/10AWBWNnsG829V1fuT3Li4fyzJ+5YTCQAAADbv7tN35diJU5Mc6+Txo5McBwB2i0cdmKvqzyW5rLt/vqr+ZpIfXXzqd5O8Y9nhAAAAAACYrwudwfwrSX4hSbr7liS3JElV/cXF5/7GUtMBAAAAADBbF7qO8mXd/dlzH1w8dsVSEgEAAAAAsCtcaGC+5FE+97idDAIAAAAAwO5yoYH59qr6++c+WFWvTvLJ5UQCAAAAAGA3uNA1mK9N8u6q+tv53qB8JMnFSX56mcEAAAAAAJi3Rx2Yu/veJEer6q8m+YHFw7/Z3b+99GQAAAAAAMzahc5gTpJ0921JbltyFgAAAAAAdpELXYMZAAAAAADOy8AMAAAAAMAQAzMAAAAAAEMMzAAAAAAADDEwAwAAAAAwxMAMAAAAAMAQAzMAAAAAAEMMzAAAAAAADDEwAwAAAAAwxMAMAAAAAMAQAzMAAAAAAEMMzAAAAAAADDEwAwAAAAAwxMAMAAAAAMAQAzOw4w4eOpyqmux28NDhVT9lAAAAgH1pbdUBgL3n7tN35diJU5Md7+Txo5MdCwAAAIDvcQYzAAAAAABDljYwV9Whqrqtqj5fVXdW1RsWjz+1qj5YVV9e/PmUZWUAAAAAAGB5lnkG85kk/7i7r0ryvCSvraqrkrwxyYe6++lJPrS4DwAAAADALrO0gbm77+nuOxYf/1GSLyQ5mOTFSW5YfNkNSV6yrAwAAAAAACzPJNdgrqorkjw7yceSXNbd9yw+9Y0klz3C97ymqm6vqtvvv//+KWIC7Gt6d34OHjqcqprsBkxH5wJMS+8CLM/asg9QVU9M8q4k13b3tzf+H9ju7qrq831fd1+X5LokOXLkyHm/BoCdo3fn5+7Td+XYiVOTHe/k8aOTHQv2O50LMC29C7A8Sz2Duaoek/Vx+R3dfcvi4Xur6vLF5y9Pct8yMwAAAAAAsBxLG5hr/VTltyX5Qne/ecOnbk3yqsXHr0rynmVlAAAAAABgeZZ5iYznJ3llks9W1acXj/1ikjcluamqfibJ15K8bIkZAAAAAABYkqUNzN39kSSP9I5BVy/ruAAAAAAATGOp12AGAAAAAGDvMjADAAAAADDEwAwAAAAAwBADMwAAAAAAQwzMAAAAAAAMMTADAAAAADDEwAwAAAAAwBADMwAAAAAAQwzMAAAAAAAMMTADAAAAADDEwAwAAAAAwBADMwAAAAAAQwzMAAAAAAAMMTADAAAAADDEwAwAAAAAwBADMwAAAAAAQwzMAAAAAAAMMTADAAAAADDEwAwAAAAAwBADMwAAAAAAQwzMAAAAAAAMMTADAAAAADDEwAwAAAAAwBADMwAAAAAAQwzMwO53YC1VNcnt4KHDq362AAAAALOxtuoAANv24JkcO3FqkkOdPH50kuMAAAAA7AbOYAYAAAAAYIiBGQAAAACAIQZmAAAAAACGGJgBAAAAABhiYAYAAABgegfWUlUIPBcqAAAOKUlEQVST3A4eOrzqZwt71tqqAwAAAACwDz14JsdOnJrkUCePH53kOLAfOYMZAAAAAIAhBmYAAAAAAIYYmAEAAAAAGGJgBgAAAABgiIEZAAAAAIAhBmYAAAAAAIYYmAEAAAAAGGJgBgAAAABgiIEZAAAAAIAhBmYAAAAAAIYYmAEAAGCzDqylqia7HTx0eNXPGAAe1dqqAwAAAMCu8eCZHDtxarLDnTx+dLJjAcAIZzADAAAAADDEwAwAAAAAwBADMwAAAAAAQwzMAAAAAAAMMTADbIV3DQcAAAB4yNqqAwDsKt41HAAAAOAhzmAGAAAAAGDI0gbmqrq+qu6rqs9teOypVfXBqvry4s+nLOv4AAAAAAAs1zLPYH57kmvOeeyNST7U3U9P8qHFfQAAAAAAdqGlDczd/TtJvnXOwy9OcsPi4xuSvGRZxwcAAAAAYLmmvgbzZd19z+LjbyS57JG+sKpeU1W3V9Xt999//zTpAPYxvQswHZ0LMC29C7A8K3uTv+7uJP0on7+uu49095FLL710wmQA+5PeBZiOzgWYlt4FWJ6pB+Z7q+ryJFn8ed/ExwcAAAAAYIdMPTDfmuRVi49fleQ9Ex8fAAAAAIAdsrSBuapuTPK7SZ5RVaer6meSvCnJC6vqy0lesLgPAAAAAMAutLasH9zdr3iET129rGMCAAAAADCdlb3JHwAAAHvTwUOHU1WT3QCA1VnaGcwAAADsT3efvivHTpya7Hgnjx+d7FgAwMM5gxkAAAAAgCEGZgAAAAAAhhiYAQAAAAAYYmAGAAAAAGCIgRkAAAAAgCEGZgAAAAAAhhiYAQAAAAAYYmAGAAAAAGCIgRkAAAAAgCEGZgAAAAAAhhiYAQAAAAAYYmAGAAAAAGCIgRkAAAAAgCEGZgAAAAAAhhiYAQAAAAAYYmAGAAAAAGCIgRkAAAAAgCEGZgAAAAAAhhiYAQAAAAAYYmAGAAAAAGCIgRkAAAAAgCEGZgAAAAAAhhiYAQAAAAAYYmAGAAAAAGCIgRkAAAAAgCEGZgAAAAAAhhiYAQAAAAAYYmAGAAAAAGCIgRkAAAAAgCEGZgAAAJirA2upqsluBw8dXvUzBmCXWVt1AAAAAOARPHgmx06cmuxwJ48fnexYAOwNzmAGAAAAAGCIgRkAAAAAgCEGZgAAAAAAhhiYAQAAAAAYYmAGAAAAmKGDhw6nqia7AYxYW3UAAAAAAP5/d5++K8dOnJrseCePH53sWMDe4QxmAAAAAACGGJgBAAAAABhiYAYAAAAAYIiBGQAAAACAIQZm2Ae88zAwOwfWJu2lg4cOr/oZAwAA7Elrqw4ALJ93HgZm58EzegkAAGAPcAYzAAAAAABDDMwAAAAAAAwxMAMAAAAAMMTADAAAAADAEAMzrMDBQ4dTVZPdgJ3h7y4AAAA83NqqA8B+dPfpu3LsxKnJjnfy+NHJjgV7mb+7AAAA8HDOYAYAAAAAYMhKBuaquqaqvlRVX6mqN64iAwAAAAAA2zP5wFxVFyX5d0lelOSqJK+oqqumzgEAAAAAwPas4gzm5yb5Snd/tbu/m+SdSV68ghwAAAAAAGxDdfe0B6x6aZJruvvVi/uvTPLD3f26c77uNUles7j7jCRf2uQhvi/JN3co7k6TbcycsyXzzifbmL2S7Zvdfc1mf7DenZxsY2QbN+d8eyXbpnt3G5271UxTk22MbGNkG7OXsk3Ru3P+55XMO59sY2QbI9uYHend2Q7M2/j5t3f3kZ34WTtNtjFzzpbMO59sY2TbmjlmOku2MbKNmXO2ZN75ZNuaOWY6S7Yxso2RbYxsWzPHTBvNOZ9sY2QbI9uYncq2iktkfD3JoQ33n7Z4DAAAAACAXWQVA/Mnkjy9qq6sqouTvDzJrSvIAQAAAADANqxNfcDuPlNVr0vy/iQXJbm+u+/cwUNct4M/a6fJNmbO2ZJ555NtjGxbM8dMZ8k2RrYxc86WzDufbFszx0xnyTZGtjGyjZFta+aYaaM555NtjGxjZBuzI9kmvwYzAAAAAAB7wyoukQEAAAAAwB5gYAYAAAAAYMieGpir6pqq+lJVfaWq3rjqPGdV1fVVdV9VfW7VWc5VVYeq6raq+nxV3VlVb1h1prOq6rFV9fGq+r1Ftl9adaZzVdVFVfWpqnrvqrNsVFW/X1WfrapPV9Xtq86zUVVdUlU3V9UXq+oLVfUjq86UJFX1jMU/r7O3b1fVtavOdVZV/aPF34PPVdWNVfXYGWSaZecmeneU3h2nd7dO7w5l0rtbNOfOTebfu3Pt3ETvjtC7Q5n07hbNuXfn3rmJ3h2ld8fsZO/umWswV9VFSf57khcmOZ3kE0le0d2fX2mwJFX1Y0keSPKr3f0Dq86zUVVdnuTy7r6jqp6U5JNJXjKTf26V5And/UBVPSbJR5K8obv/24qjPaSqfi7JkSRP7u6fXHWes6rq95Mc6e5vrjrLuarqhiT/tbvfWlUXJ3l8d//vVefaaNEnX0/yw939tRnkOZj1f/+v6u7/U1U3JXlfd799hZlm27mJ3h2ld8fp3e3Ru5vKpHcHzLlzk/n37lw7N9G726V3N5VJ7w6Yc+/OvXMTvTtK7w7l2dHe3UtnMD83yVe6+6vd/d0k70zy4hVnSpJ09+8k+daqc5xPd9/T3XcsPv6jJF9IcnC1qdb1ugcWdx+zuM3mNyJV9bQkP5HkravOsltU1Z9O8mNJ3pYk3f3duZX+wtVJ/sccSn+DtSSPq6q1JI9PcveK88y2cxO9O0rv7j16d1v07hbMtXfn3LnJvHtX547Ru9uid7dA727dnDs30buj9O627Fjv7qWB+WCSuzbcP52ZlNhuUVVXJHl2ko+tNsn3LF4e8ukk9yX5YHfPJluSX0nyT5M8uOog59FJPlBVn6yq16w6zAZXJrk/yX9YvOznrVX1hFWHOo+XJ7lx1SHO6u6vJ/nlJH+Q5J4kf9jdH1htKp27E/TulundrdO7A/Tu3jTHzk1m3btz7txE726X3r0wvbtNc+zdGXduondH6d0BO927e2lgZhuq6olJ3pXk2u7+9qrznNXdf9Ldz0rytCTPrapZvPSnqn4yyX3d/clVZ3kEP9rdz0nyoiSvXbx8ag7WkjwnyVu6+9lJvpNkbtcyuzjJTyX59VVnOauqnpL1syWuTPL9SZ5QVX9ntanYLr27NXp3mN4doHf3nrl2bjLP3t0FnZvo3WF6lynMtXfn2LmJ3t0mvTtgp3t3Lw3MX09yaMP9py0e4wIW1x56V5J3dPctq85zPouXN9yW5JpVZ1l4fpKfWlyD6J1Jfryq/uNqI33P4jdR6e77krw76y/vmoPTSU5v+C3xzVn/D8GcvCjJHd1976qDbPCCJP+zu+/v7j9OckuSoyvOpHO3Qe8O0btj9O4YvbuH7IbOTWbXu7Pu3ETvbpPe3Ry9O2g39O7MOjfRu9uhd8fsaO/upYH5E0meXlVXLn4z8PIkt6440+wtLnL/tiRf6O43rzrPRlV1aVVdsvj4cVl/c4UvrjbVuu7+he5+WndfkfV/1367u2fxG/aqesLizRSyeFnIX0syi3cW7u5vJLmrqp6xeOjqJCt/s4dzvCIzetnKwh8keV5VPX7xd/bqrF/LbJV07iC9O0bvjtG7w/TuHjHnzk3m27tz7txE7+4Avbs5enfAnHt3rp2b6N3t0LvDdrR313Ys1op195mqel2S9ye5KMn13X3nimMlSarqxiR/Jcn3VdXpJP+8u9+22lQPeX6SVyb57OI6REnyi939vhVmOuvyJDfU+jttHkhyU3e/d8WZdoPLkrx7vR+yluTXuvu3VhvpYV6f5B2L/5H21SR/b8V5HrL4D+ULkxxfdZaNuvtjVXVzkjuSnEnyqSTXrTjTbDs30bvboHfH6N1BendLmfTumDl3bqJ3R+ndQXp3S5n07pg5967OHad3B+2X3q3u2bxhJgAAAAAAu8heukQGAAAAAAATMjADAAAAADDEwAwAAAAAwBADMwAAAAAAQwzMAAAAAAAMMTCzr1XVbVX118957NqqessjfP1/qaoj06QD2Hv0LsC09C7AtPQu+5GBmf3uxiQvP+exly8eB2Dn6V2AaeldgGnpXfYdAzP73c1JfqKqLk6SqroiyfcneUVV3V5Vd1bVL53vG6vqgQ0fv7Sq3r74+NKqeldVfWJxe/7i8b9cVZ9e3D5VVU9a7lMDmCW9CzAtvQswLb3LvrO26gCwSt39rar6eJIXJXlP1n+reFOSf7H43EVJPlRVP9jdn9nkj/3XSf5Vd3+kqg4neX+SZyb5J0le290fraonJvm/O/6EAGZO7wJMS+8CTEvvsh85gxke/vKVsy9beVlV3ZHkU0n+QpKrtvDzXpDk31bVp5PcmuTJi6L/aJI3V9XPJrmku8/s1BMA2GX0LsC09C7AtPQu+4qBGdZ/o3h1VT0nyeOTfCvrvwW8urt/MMlvJnnseb6vN3y88fMHkjyvu5+1uB3s7ge6+01JXp3kcUk+WlV/fhlPBmAX0LsA09K7ANPSu+wrBmb2ve5+IMltSa7P+m8Vn5zkO0n+sKouy/rLWs7n3qp6ZlUdSPLTGx7/QJLXn71TVc9a/Plnu/uz3f0vk3wiieIH9iW9CzAtvQswLb3LfmNghnU3JvlLSW7s7t/L+ktWvpjk17L+kpPzeWOS9yY5leSeDY//bJIjVfWZqvp8kn+wePzaqvpcVX0myR8n+U87/zQAdg29CzAtvQswLb3LvlHdfeGvAgAAAACAcziDGQAAAACAIQZmAAAAAACGGJgBAAAAABhiYAYAAAAAYIiBGQAAAACAIQZmAAAAAACGGJgBAAAAABjy/wAWD6MoNsD1ngAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1440x1080 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#\n",
    "# Los histogramas permiten visualizar como se distribuyen los datos en un rango\n",
    "# determinado.\n",
    "#\n",
    "#  ¿En que rango son más frecuentes mis datos?\n",
    "#\n",
    "sns.displot(\n",
    "    iris_melt,\n",
    "    x=\"Values\",\n",
    "    row=\"species\",\n",
    "    col=\"Variables\",\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5f6b07b8-abac-4c25-bbb7-1175cec9ffac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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aXHvN1dly3DmLWveUozePORqAlcEdzAAAAAAADKLADAAAAADAIGMvMFfVmqr6dFW9r39+z6r6ZFV9sapOrqrbjTsGAAAAAACW3iTuYH5GkitGnr88ybGttXsnuSHJ708gBgAAAAAAlthYC8xVtT7JryR5Y/+8kjw8yTv6VU5K8thxxgAAAAAAwHiM+w7m1yT5f5Lc2j+/S5JvtNZu7p9fk+Tus21YVUdV1daq2rpt27YxhwmAvAswOXIuwGTJuwDjM7YCc1X9apLrW2sXDtm+tXZCa21Ta23TunXrljg6AGaSdwEmR84FmCx5F2B81o5x35uT/HpVPSbJHZLcMcnfJtmvqtb2dzGvT/KVMcYAAAAAAMCYjO0O5tba81tr61trByV5QpKPttaelOSMJIf3qx2R5D3jigEAAAAAgPEZ9xjMs/nzJM+qqi+mG5P5TcsQAwAAAAAAu2icQ2R8X2vtzCRn9vNXJjlkEscFAAAAAGB8luMOZgAAAAAAdgMKzAAAAAAADKLADAAAAADAIArMAAAAAAAMosAMAAAAAMAgCswAAAAAAAyiwAwAAAAAwCAKzAAAAAAADKLADAAAAADAIArMAAAAAAAMosAMAAAAAMAgCswAAAAAAAyiwAwAAAAAwCAKzAAAAAAADKLADAAAAADAIArMAAAAAAAMosAMAAAAAMAgCswAAAAAAAyiwAwAAAAAwCAKzAAAAAAADKLADAAAAADAIArMAAAAAAAMosAMAAAAAMAgCswAAAAAAAyiwAwAAAAAwCAKzAAAAAAADKLADAAAAADAIArMAAAAAAAMMrYCc1XdoarOr6rPVNVlVfXivv3EqvpSVV3UTwePKwYAAAAAAMZn7Rj3fVOSh7fWbqyqvZJ8vKr+v37Zc1tr7xjjsQEAAAAAGLOxFZhbay3Jjf3Tvfqpjet4AAAAAABM1ljHYK6qNVV1UZLrk5zWWvtkv+h/V9XFVXVsVd1+jm2PqqqtVbV127Zt4wwTgMi7AJMk5wJMlrwLMD5jLTC31m5prR2cZH2SQ6rqJ5I8P8n9kjwoyZ2T/Pkc257QWtvUWtu0bt26cYYJQORdgEmScwEmS94FGJ+xFpintda+keSMJIe11q5rnZuSvCXJIZOIAQAAAACApTW2AnNVrauq/fr5vZM8Kslnq+rAvq2SPDbJpeOKAQAAAACA8RnbP/lLcmCSk6pqTbpC9imttfdV1Ueral2SSnJRkqPHGAMAAAAAAGMytgJza+3iJD89S/vDx3VMAAAAAAAmZyJjMAMAAAAAsPtRYAYAAAAAYBAFZgAAAAAABlFgBgAAAABgEAVmAAAAAAAGUWAGAAAAAGAQBWYAAAAAAAZRYAYAAAAAYBAFZgAAAAAABlFgBgAAAABgEAVmAAAAAAAGUWAGAAAAAGAQBWYAAAAAAAZRYAYAAAAAYBAFZgAAAAAABlFgBgAAAABgEAVmAAAAAAAGUWAGAAAAAGAQBWYAAAAAAAZRYAYAAAAAYBAFZgAAAAAABlFgBgAAAABgEAVmAAAAAAAGUWAGAAAAAGAQBWYAAAAAAAZRYAYAAAAAYBAFZgAAAAAABhlbgbmq7lBV51fVZ6rqsqp6cd9+z6r6ZFV9sapOrqrbjSsGAAAAAADGZ5x3MN+U5OGttQckOTjJYVX1c0lenuTY1tq9k9yQ5PfHGAMAAAAAAGMytgJz69zYP92rn1qShyd5R99+UpLHjisGAAAAAADGZ6xjMFfVmqq6KMn1SU5L8n+TfKO1dnO/yjVJ7j7OGAAAAAAAGI+xFphba7e01g5Osj7JIUnut9htq+qoqtpaVVu3bds2thgB6Mi7AJMj5wJMlrwLMD5jLTBPa619I8kZSR6cZL+qWtsvWp/kK3Nsc0JrbVNrbdO6desmESbAHk3eBZgcORdgsuRdgPEZW4G5qtZV1X79/N5JHpXkinSF5sP71Y5I8p5xxQAAAAAAwPisXXiVwQ5MclJVrUlXyD6ltfa+qro8yb9U1UuSfDrJm8YYAwAAAAAAYzK2AnNr7eIkPz1L+5XpxmMGAAAAAGAVm8gYzAAAAAAA7H4UmAEAAAAAGESBGQAAAACAQRSYAQAAAAAYRIEZAAAAAIBBFJgBAAAAABhEgRkAAAAAgEEUmAEAAAAAGESBGQAAAACAQRSYAQAAAAAYRIEZAAAAAIBBFJgBAAAAABhEgRkAAAAAgEEUmAEAAAAAGESBGQAAAACAQRSYAQAAAAAYRIEZAAAAAIBBFJgBAAAAABhEgRkAAAAAgEEUmAEAAAAAGESBGQAAAACAQRSYAQAAAAAYRIEZAAAAAIBBFJgBAAAAABhEgRkAAAAAgEEUmAEAAAAAGESBGQAAAACAQRSYAQAAAAAYZGwF5qq6R1WdUVWXV9VlVfWMvv2YqvpKVV3UT48ZVwwAAAAAAIzP2jHu++Ykz26tfaqq9k1yYVWd1i87trX2N2M8NgAAAAAAYza2AnNr7bok1/Xz36qqK5LcfVzHAwAAAABgsiYyBnNVHZTkp5N8sm96WlVdXFVvrqr959jmqKraWlVbt23bNokwAfZo8i7A5Mi5AJMl7wKMz9gLzFW1T5J3Jnlma+2bSf4hyY8kOTjdHc6vmm271toJrbVNrbVN69atG3eYAHs8eRdgcuRcgMmSdwHGZ6wF5qraK11x+a2ttXclSWvtq621W1prtyZ5Q5JDxhkDAAAAAADjMbYCc1VVkjcluaK19uqR9gNHVntckkvHFQMAAAAAAOMztn/yl2Rzkt9NcklVXdS3/UWSJ1bVwUlakquSPHWMMQAAAAAAMCZjKzC31j6epGZZ9IFxHRMAAAAAgMkZ+z/5AwAAAABg96TADAAAAADAIArMAAAAAAAMosAMAAAAAMAgCswAAAAAAAyiwAwAAAAAwCAKzAAAAAAADKLADAAAAADAIIsqMFfV5sW0AQAAAACw51jsHcyvW2QbAAAAAAB7iLXzLayqByd5SJJ1VfWskUV3TLJmnIEBAAAAALCyzVtgTnK7JPv06+070v7NJIePKygAAAAAAFa+eQvMrbWPJflYVZ3YWvvyhGICAAAAAGAVWOgO5mm3r6oTkhw0uk1r7eHjCAoAAAAAgJVvsQXmU5Mcl+SNSW4ZXzgAAAAAAKwWiy0w39xa+4exRgIAAAAAwKoytcj1/q2q/riqDqyqO09PY40MAAAAAIAVbbF3MB/RPz53pK0ludfShgMAAOxO1m/YmGuvuXrB9e62/h655t/9X3EAgNVmUQXm1to9xx0IAACw+7n2mquz5bhzFlzvlKM3TyAaAACW2qIKzFX15NnaW2v/uLThAAAAAACwWix2iIwHjczfIckjknwqiQIzAAAAAMAearFDZPzp6POq2i/Jv4wlIgAAAAAAVoWpgdv9dxLjMgMAAAAA7MEWOwbzvyVp/dM1SX4sySnjCgoAAAAAgJVvsWMw/83I/M1Jvtxau2YM8QAAAAAAsEosaoiM1trHknw2yb5J9k/y3XEGBQAAAADAyreoAnNVbUlyfpLfSrIlySer6vBxBgYAAAAAwMq22CEyXpDkQa2165OkqtYl+UiSd4wrMAAAAAAAVrZF3cGcZGq6uNz7+kLbVtU9quqMqrq8qi6rqmf07XeuqtOq6gv94/4DYwcAAAAAYBkttsD8war6UFUdWVVHJnl/kg8ssM3NSZ7dWrt/kp9L8idVdf8kz0tyemvtPklO758DAAAAALDKzDtERlXdO8kBrbXnVtX/SvLQftF5Sd4637atteuSXNfPf6uqrkhy9yS/keTQfrWTkpyZ5M8Hxg8AAAAAwDJZ6A7m1yT5ZpK01t7VWntWa+1ZSd7dL1uUqjooyU8n+WS6gvV1/aL/SHLAHNscVVVbq2rrtm3bFnsoAAaSdwEmR87dUas1mZqaWtS0fsPG5Q4XWGXkXYDxWeif/B3QWrtkZmNr7ZK+aLygqtonyTuTPLO19s2qGt1Pq6o223attROSnJAkmzZtmnUdAJaOvAswOXLuLG69OVuOP3dRq55y9OYxBwPsbuRdgPFZ6A7m/eZZtvdCO6+qvdIVl9/aWntX3/zVqjqwX35gkuvn2h4AAAAAgJVroQLz1qr6w5mNVfUHSS6cb8PqblV+U5IrWmuvHln03iRH9PNHJHnP4sMFAAAAAGClWGiIjGcmeXdVPSnbC8qbktwuyeMW2HZzkt9NcklVXdS3/UWSlyU5pap+P8mXk2wZEjgAAAAAAMtr3gJza+2rSR5SVb+Y5Cf65ve31j660I5bax9PUnMsfsRORQkAAAAAwIqz0B3MSZLW2hlJzhhzLAAAAAAArCILjcEMAAAAAACzUmAGAAAAAGAQBWYAAAAAAAZRYAYAAAAAYBAFZgAAAAAABlFgBgAAAABgEAVmAAAAAAAGUWAGAAAAAGAQBWYAAAAAAAZRYAYAAAAAYBAFZgAAAAAABlFgBgAAAABgEAVmAAAAAAAGUWAGAAAAAGAQBWYAAAAAAAZRYIZVav2GjZmamlpwWr9h43KHCgAAAMBuau1yBwAMc+01V2fLcecsuN4pR2+eQDQAAAAA7IncwQwAAAAAwCAKzAAAAAAADKLADAAAAADAIArMAAAAAAAMosAMAAAAAMAgCswAAAAAAAyiwAwAAAAAwCAKzAAAAAAADKLADAAAAADAIArMAAAAAAAMMrYCc1W9uaqur6pLR9qOqaqvVNVF/fSYcR0fAAAAAIDxGucdzCcmOWyW9mNbawf30wfGeHwAAAAAAMZobAXm1tpZSf5zXPsHAAAAAGB5LccYzE+rqov7ITT2n2ulqjqqqrZW1dZt27ZNMj6APZK8S5Ks37AxU1NTC07rN2xc7lBhVZNzASZL3gUYn7UTPt4/JPnrJK1/fFWSp8y2YmvthCQnJMmmTZvapAIE2FPJuyTJtddcnS3HnbPgeqccvXkC0cDuS84FmCx5F2B8JnoHc2vtq621W1prtyZ5Q5JDJnl8AAAAAACWzkQLzFV14MjTxyW5dJLHBwAAAABg6YxtiIyqenuSQ5PctaquSfKiJIdW1cHphsi4KslTx3V8AAAAAADGa2wF5tbaE2dpftO4jgcAAAAAwGRNdIgMAAAAAAB2HwrMAAAAAAAMosAMAAAAAMAgCswAAAAAAAyiwAwAAAAAwCAKzAAAAAAADKLADAAAAADAIArMAAAAAAAMosAMAAAAAMAgCswAAAAAAAyiwAwAAAAAwCAKzAAAAAAADKLADAAAAADAIArMAAAAAAAMosAMAAAAAMAgCswAAAAAAAyiwAwAjM36DRszNTW14LR+w8blDhUAAIAB1i53AADA7uvaa67OluPOWXC9U47ePIFoAAAAWGruYAYAAAAAYBAFZgAAAAAABlFgBgAAAABgEAVmAAAAAAAGUWAGAAAAAGAQBWYAAAAAAAZZu9wBAOPVak2mpha+lnS39ffINf/+5QlEBOwOFptbWmsTiAYAAIDlosAMu7tbb86W489dcLVTjt48gWCA3cYic8vJT33IBIIBAABguRgiAwAAAACAQRSYAQAAAAAYZGwF5qp6c1VdX1WXjrTduapOq6ov9I/7j+v4AAAAAACM1zjvYD4xyWEz2p6X5PTW2n2SnN4/BwAAAABgFRpbgbm1dlaS/5zR/BtJTurnT0ry2HEdHwAAAACA8Zr0GMwHtNau6+f/I8kBc61YVUdV1daq2rpt27bJRAewB5N3ASZHzgWYLHkXYHyW7Z/8tdZakjbP8hNaa5taa5vWrVs3wcgA9kzyLsDkyLkAkyXvAozPpAvMX62qA5Okf7x+wscHAAAAAGCJTLrA/N4kR/TzRyR5z4SPDwAAAADAEhlbgbmq3p7kvCT3raprqur3k7wsyaOq6gtJHtk/BwAAAABgFVo7rh231p44x6JHjOuYAAAAAABMzrL9kz8AAAAAAFY3BWYAAACAJdZqTaamphac1m/YuNyhAuySsQ2RAQAAALDHuvXmbDn+3AVXO+XozRMIBmB83MEMAAAAAMAgCswAAAAAAAyiwAwAAAAAwCAKzAAAAAAADKLADAAAAADAIArMAAAAAAAMosAMJElarcnU1NSipvUbNi53uAAAAACsAGuXOwBghbj15mw5/txFrXrK0ZvHHAwAAFihgtMAACAASURBVAAAq4E7mAEAAAAAGESBGQAAAACAQRSYAQAAAAAYRIEZAAAAAIBBFJgBAAAAABhEgRkAAAAAgEEUmAEAAAAAGESBGQAAAACAQRSYAQAAAAAYRIEZAAAAAIBBFJgBAAAAABhEgRkAAAAAgEEUmGGFWb9hY6amphacWmvLHSrAkmm1ZlG5b/2GjcsdKrACyBkAACvH2uUOALita6+5OluOO2fB9U5+6kMmEA3AhNx6c7Ycf+6Cq51y9OYJBAOseHIGAMCK4Q5mAAAAAAAGUWAGAAAAAGAQBWYAAAAAAAZZljGYq+qqJN9KckuSm1trm5YjDgAAAAAAhlvOf/L3i621ry3j8QEAAAAA2AWGyAAAAAAAYJDlKjC3JB+uqgur6qjZVqiqo6pqa1Vt3bZt24TDg6W3fsPGTE1NLTi11pY7VPZQ8i7A5Mi5AJMl7wKMz3INkfHQ1tpXquqHkpxWVZ9trZ01ukJr7YQkJyTJpk2bVNxY9a695upsOe6cBdc7+akPmUA0sCN5F2By5FyAyZJ3AcZnWe5gbq19pX+8Psm7kxyyHHEAAAAAADDcxAvMVfWDVbXv9HySRye5dNJxAAAAAACwa5ZjiIwDkry7qqaP/7bW2geXIQ4AAAAAAHbBxAvMrbUrkzxg0scFAAAAAGBpLcsYzAAAAAAArH4KzAAAAAAADKLADAAAAADAIArMAAAAAAAMosAMAAAAAMAgCswAAAAAAAyiwAwAAAAAwCAKzAAAAAAADKLADAAAAADAIArMwE5rtSZTU1MLTus3bFzuUIHdzGLzjxwEAAAwGWuXOwBgFbr15mw5/twFVzvl6M0TCAbYoywy/yRyEAAAwCS4gxkAAAAAgEEUmAEAAAAAGESBGQAAAACAQRSYAQAAAAAYRIEZAAAAAIBBFJgBAICdtn7DxkxNTS04tdaWO1QAAMZo7XIHAAAArD7XXnN1thx3zoLrnfzUh0wgGgAAlos7mAEAAAAAGESBGQAAAACAQRSYAQAAAAAYRIEZAAAAAIBBFJgBAAAAABhEgRkAVpj1GzZmampqwWn9ho1Lvs/W2hhf2WS1WrPk5xEAAIDbWrvcAQAAt3XtNVdny3HnLLjeKUdvXvJ9nvzUhyx6nyverTdny/HnLrjazpxHAAAAbssdzAAAAAAADKLADAAAAADAIMtSYK6qw6rqc1X1xap63nLEAAAAAADArpl4gbmq1iT5+yS/nOT+SZ5YVfefdBwAAAAAAOya5biD+ZAkX2ytXdla+26Sf0nyG8sQBwAAAAAAu2A5Csx3T3L1yPNr+jYAAAAAAFaRaq1N9oBVhyc5rLX2B/3z303ys621p81Y76gkR/VP75vkc4s8xF2TfG2Jwl1qYhtuJccntmHENszOxPa11tphi92xvDtxYhtmJceWrOz4xDbMWPLuLuTcnY1p0sQ2jNiGEdswKzm2RN7dWWIbRmzDiG2Y3Sm2WfPuchSYH5zkmNbaL/XPn58krbWXLtH+t7bWNi3Fvpaa2IZbyfGJbRixDbMSY1uJMU0T2zBiG24lxye2YVZibCsxpmliG0Zsw4htmJUcW7Iy41uJMU0T2zBiG0Zsw+wJsS3HEBkXJLlPVd2zqm6X5AlJ3rsMcQAAAAAAsAvWTvqArbWbq+ppST6UZE2SN7fWLpt0HAAAAAAA7JqJF5iTpLX2gSQfGNPuTxjTfpeC2IZbyfGJbRixDbMSY1uJMU0T2zBiG24lxye2YVZibCsxpmliG0Zsw4htmJUcW7Iy41uJMU0T2zBiG0Zsw+z2sU18DGYAAAAAAHYPyzEGMwAAAAAAuwEFZgAAAAAABlFgBgAAAABgEAVmAAAAAAAGUWAGAAAAAGAQBWYAAAAAAAZRYAYAAAAAYBAFZgAAAAAABlFgBgAAAABgEAVmAAAAAAAGUWAGAAAAAGAQBWYAAAAAAAZRYN6NVNUHqmq/5Y5jV1XVX1XVIwdsd2hVvW8Xj33VLG1HVNXbZ7Tdtaq2VdXtF7nfTVX12gXWObKq/m6OZTcu5jirxXyvtV9+TFU9ZwzHfWZV/cDI893qvLJ85F/5d7VYKP8uYvtfr6rnzbHsxv7xoKr67aU6Jswk58q5y2nm58l51juzqjbNs/yqqrrrEscm/zJW8q/8u5yWKv8uYvs3VtX9Z2n//vmrqseOrrOrx9wdKDDvRlprj2mtfWO541iM6sza/1prf9la+8gEYli7yFXfneRRMxLZ4Un+rbV202KO01rb2lp7+pA4WVLPTLLgLyTYWfLvTscg/65SrbX3ttZetsBqByX57QXWgcHk3J2OQc5dWiv58+RBkX8ZI/l3p2OQf5fWRPJva+0PWmuXL7DaY5PsUITekykwT1BV/WBVvb+qPlNVl1bV4/v2q6rqFVV1SVWdX1X37tvXVdU7q+qCftrct+9TVW/p17+4qn5zZD937ed/p9/XRVV1fFWt6acT+2NfUlV/touv52VV9Scjz79/12lVPbeP+eKqenHfdlBVfa6q/jHJpUnuMVs8fdvh/fyDqurc/pydX1X7VtUdRl7/p6vqF2eJ7c5V9a/98T9RVT81EuM/VdU5Sf5pMa+ztfbNJB9L8msjzU9I8vaq+rWq+mQfx0eq6oDZjlMjVzqr6pCqOq/f5tyquu/Ifu/RX/n6QlW9aI7zPtu5nbVvDVVVB1bVWX3/ubSqHta3P7qP/VNVdWpV7dO3z9WHZz0/OxnLj1TVB6vqwqo6u6ru17efWFWv7c/hlSN9ZqqqXl9Vn62q06q7yn54VT09yd2SnFFVZ4zs/3/35+0TQ+JjdZjrZ2Seviv/yr+znffdOv/2/fRL1dmvqm6pqp/vl51VVfep2965cc8+pkuq6iUju3pZkof1r2G6r9+tulz+hap6xa6cI1a+uX4u5umvcq6cO9t5n0TOPbTPb+/v37Pjqi9I1Sx5t2b5PFlV/1BVW6vqsuk4B8SxQz/u22+sWT6rVvf5+BN933hJbb/zUP7dw831M1Lyr/y73R6df6vqt6rq1f38M6rqyn7+Xv25TI3cjVxVv1dVn6+q85NM/3w8JMmvJ3ll3/9/pN/9b/V96PPVf4bfo7TWTBOakvxmkjeMPL9T/3hVkhf0809O8r5+/m1JHtrPb0hyRT//8iSvGdnP/iP7uWuSH0vyb0n26ttf3+/3gUlOG9luv1lifFKSi2aZ3jHLuj+d5GMjzy9Pco8kj05yQpJKdxHjfUl+Pt0V9VuT/Fy//qzxJDkx3dW62yW5MsmD+vY7Jlmb5NlJ3ty33S/Jvye5Q5JDR87d65K8qJ9/eJKL+vljklyYZO853qOr5mg/PMm7+/m7Jbk2yZok+yepvv0PkrxqtuPMiO2OSdb2849M8s5+/sgk1yW5S5K90/1C3NQvu7F/nOvcztq3ZryG587x3r52lnWfne19ck2SfdP1rbOS/GDf/udJ/nKBPjzX+Tkyyd/N87NyTJLn9POnJ7lPP/+zST460k9O7c/D/ZN8ceS9+kDf/sNJbkhy+OjPyMhxWpJf6+dfkeSFy50nTOOZ5voZmafvyr/y756afz+Y5MeT/GqSC5K8IMntk3xp5vZJ3pvkyf38n4ycq++f85Ftrkxyp3T95ctJ7rHcecE0vmmun4t5+qucK+cuV849NMl3ktyrf52n9edgobw7+nnyzv3jmiRnJvmp/vmZ069rrvcg8/Tjfn7Wz6r9+XhiP3905F/T9vdc/pV/v/86+nn597bH/eEkF/Tz70j3effuSY5I8tLR7ZMc2L/369L1lXOy/XPwienrDCPbTL83j0nykeXOB5OeFnu7PkvjkiSvqqqXp/vBP3tk2dtHHo/t5x+Z5P5VNb3OHau7Y+mR6a5mJUlaazfMOM4j0iXSC/pt905yfbpfAPeqqtcleX+SD88MsLX21iRvXcyLaa19uqp+qKrulu4H7obW2tVV9Yx0SenT/ar7JLlPuh/ML7fWPtG3X7lAPPdNcl1r7YL+eN9Mkqp6aLpkntbaZ6vqy0l+dMa2D02XANNa+2hV3aWq7tgve29r7duLeY0j3p/k9f0+tqRL0LdU1fokJ1fVgekSzpdGtpnrOHdKclJV3Sfdh8a9Rpad1lr7ev8639W/jq0jyx+d2c/t2Zm7byVJWmuvTPLKRb7eC5K8uar2SvKvrbWLquoX0hVyz+n71e2SnDeyzWx9eL7zs6C+vz8kyakjPwejY1D9a2vt1iSX1/a78x6a5NS+/T9q5G7lWXw33S/MpPvl/KidiY9VRf6VfxP5dzHOTvdHxD2TvDTJH6a7o+aCWdbdnP69TneHzsvn2e/prbX/SpKqujzJxiRXLzImVh85V85NVkfOTZLzW2vTd7C9vY/lO5k/747aUlVHpStKHdhvd/FOHH+ufpzM/Vn1wem+np10BcK/mWf/8u+eRf6VfxP5d06ttf/o74jeN93Firel++z7sCTvmrH6zyY5s7W2rY/x5OzYD0ZNb39huosdexQF5glqrX2+qn4m3dWMl1TV6a21v5pePLpq/ziV7srbd0b3M5L851JJTmqtPX+HBVUPSPJL6a50b0nylBnLn5TuqtNMX2ytHT5L+6nprjL9cJKTR47/0tba8TP2fVCS/55+3lq7YaF4xuS/F17ltlpr366qDyZ5XLpftM/qF70uyatba++tqkPTXUVc6Dh/neSM1trj+nNy5uihZh56xvNZz22SzNO3ppc/N93V4pnOajPGamqtnVXd16J/JcmJ1X2F5IZ0v4yeOMfrmq0Pz3d+FmMqyTdaawfPsXx0PKoFfzBm8b3W2nSst0RO3G3Jv3VQ5N9E/l2Ms5L8Ubo7Z/4yXZ88NN0fFQsdez6j+Vq+3c3JuXVQ5NxkFeTceWKpzJ93p491zyTPSXf34w1VdWK6uxx3xpz9OEvzWVX+3YPIv3VQ5N9E/l3IuUl+L8nn0n3GfUq6C3fPXuT2c5nOt3tkrjUG8wT1V93+p7X2z+mu6vzMyOLHjzxOX535cJI/Hdl+ush2Wrqvok637z/jUKcnObyqfqhffueq2ljdWElTrbV3JnnhjOMn6a4mttYOnmWaLdEnXYJ/QrqEf2rf9qEkT6nt40PefTqWGedjoXg+l+TAqnpQv/6+1Q2Sf3b6pFVVP5ruqzyfm7Ht6DqHJvna9NXIXfD2dEn+gGx/j+6U5Cv9/BGL3M/oNkfOWPao/v3aO91dCefMWD7ruV2gbyXpribO8d7ukOiramOSr7bW3pDkjf3+PpFkc20fr+sH+/M/bbY+POT8jMb8zSRfqqrf6o9Z/QeE+ZyT5DerG4v5gHSFkWnfSvd1c/Yw8u8O50P+lX/ncn66b47c2v+xeVGSp6YrPM90Trbf3TT6x4Rcu4eTc3c4H3LuCs25vUOqG1N+Kl2//Hjmz7ujOe6O6Qo8/9V/7vzlhU/LDmbtxwts84ls/wbJE0ba5d89nPy7w/mQf+Xf2Zydrjh9Vro7tX8xyU2t/7bHiE8m+YXq7k7fK8lvjSyTb2fY4yrqy+wn0w0CfmuS76W7Q2ja/lV1cborHtNXap6e5O/79rXpOv/RSV7St1+a7srIizNyK39r7fKqemGSD/c/qN9L98vh20neUtv/k+psV8l3Smvtsuq+WvCV1tp1fduHq+rHkpxX3ZXPG5P8Th/rqLvPF09r7bvVDRz/uj75fTvdV3Ven+QfquqSJDcnObK1dlPd9irrMem+Ynxxkv/JgOLmLE5L8o9J3jRyJ8Ex6YZvuCHJR9N9pXghr0j3dZUXpvsazKjzk7wz3Veb/7m1NvpVlfnO7b0zd98a4tAkz62q7/XHeHJrbVtVHZnuHw1MD1PxwiSf7+dn68PHZOfPz0xPSvd+vzDdV3v+Jcln5ln/nem+snV5uq//fSrJ9C+KE5J8sKqubf8/e3cfbVld3gn++9wqEF8b0QpDW1Zhoq1x7BXslEyknLQhmiEm3Wo3KXWMkWm7gaVJa2yNsTOT1k6yOnano+k4CeBLoFtDwLfxLUGJgig4aKmIINraBIcCIkWiiWZaMwW/+ePsK4fivtWPu8+5t+rzWWuv2mef/fKcc/Z97qnv2fd3WrvXFzVwWNN/70n/1X+XNLyeN2fy5j6ZvAF/XiZ/cnuwlyb5w6p6VZL3Ti2/NsmdVfX5TManO/jPajn86bn3pOdu3J6bTIYAeuOw78syGQP1rhX67j3eT1bV55J8KZP3nQcHNata4Tz+2gqbvSzJ26rqVzIZO3/xva7+i/57T/qv/ruUj2cyPMYVbTIMyc3Dfu6htXZbVb0mk7D/m5lceLHoj5K8qSZfPrjchyNHlLr7nGVequqmTAYgv2PetRzpquqm1tqJ865js9lo53BVPai19u2qelgmv0B3t9b+fN51sfFstHP3SKb/9nEOs5k4XzcOPXeiJlcdvqK19tPzruVQVNUDkvz31lqrqudm8oV/z5x3XWxc+u/Gof9ObNb+y/JcwQwcjj5QVcdm8oUAvyZcBgDgMPLDSd5Yk8sLv5nZjCkLAMtyBTNMqaqXtdbeMO86jhTDn/X9zEGL39Fa+4151APMj/47W/ovHNn03NmpqquT3O+gxS9orS019BBwmNN/Z0f/nS0BMwAAAAAAXTbFEBmnnXZau+SSS+ZdBsBmU6uvsjR9F6BLV9/VcwG66bsAs7Vk311YauFGc8cdxqEHmCV9F2B29FyA2dJ3AdbXpgiYAQAAAADYeATMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0GT1grqotVfW5qvrAcPtRVXV1VX21qi6qqqPHrgEAAAAAgPU3iyuYX5rkhqnbr0vy+tbao5N8I8mLZlADAAAAAADrbNSAuaq2J/mpJG8ebleSU5O8c1jlgiTPGrMGAAAAAADGMfYVzG9I8ktJ7hpuPyzJN1trB4bb+5I8YqkNq+rMqtpbVXv3798/cpkA6LsAs6PnAsyWvgswntEC5qr66SS3t9Y+07N9a+281tqu1tqubdu2rXN1ABxM3wWYHT0XYLb0XYDxbB1x37uT/OOqekaSY5I8JMnvJDm2qrYOVzFvT3LLiDUAAAAAADCS0a5gbq29urW2vbV2YpLnJvloa+35SS5Lcvqw2guTvHesGgAAAAAAGM/YYzAv5VVJXl5VX81kTOa3zKEGAAAAAADuozGHyPie1trlSS4f5m9McvIsjgsAAAAAwHjmcQUzAAAAAACHAQEzAAAAAABdBMwAAAAAAHQRMAMAAAAA0EXADAAAAABAFwEzAAAAAABdBMwAAAAAAHQRMAMAAAAA0EXADAAAAABAFwEzAAAAAABdBMwAAAAAAHQRMAMAAAAA0EXADAAAAABAFwEzAAAAAABdBMwAAAAAAHQRMAMAAAAA0EXADAAAAABAFwEzAAAAAABdBMwAAAAAAHQRMAMAAAAA0EXADAAAAABAFwEzAAAAAABdBMwAAAAAAHQRMAMAAAAA0EXADAAAAABAFwEzAAAAAABdBMwAAAAAAHQRMAMAAAAA0GW0gLmqjqmqT1XV56vq+qp67bD8/Kr6s6q6ZphOGqsGAAAAAADGs3XEfX83yamttW9X1VFJPlFVfzLc98rW2jtHPDYAAAAAACMbLWBurbUk3x5uHjVMbazjAQAAAAAwW6OOwVxVW6rqmiS3J7m0tXb1cNdvVNW1VfX6qrrfMtueWVV7q2rv/v37xywTgOi7ALOk5wLMlr4LMJ5RA+bW2p2ttZOSbE9yclU9IcmrkzwuyZOSHJfkVctse15rbVdrbde2bdvGLBOA6LsAs6TnAsyWvgswnlED5kWttW8muSzJaa2129rEd5P8QZKTZ1EDAAAAAADra7SAuaq2VdWxw/z9kzw9yZeq6oRhWSV5VpLrxqoBAAAAAIDxjPYlf0lOSHJBVW3JJMi+uLX2gar6aFVtS1JJrkly9og1AAAAAAAwktEC5tbatUmeuMTyU8c6JgAAAAAAszOTMZgBAAAAADj8CJgBAAAAAOgiYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAAAAAOgiYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAAAAAOgiYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAAAAAOgiYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAAAAAOgiYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAAAAAOgiYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAAAAAOgiYAYAAAAAoMtoAXNVHVNVn6qqz1fV9VX12mH5o6rq6qr6alVdVFVHj1UDAAAAAADjGfMK5u8mObW19kNJTkpyWlX9SJLXJXl9a+3RSb6R5EUj1gAAAAAAwEhGC5jbxLeHm0cNU0tyapJ3DssvSPKssWoAAAAAAGA8o47BXFVbquqaJLcnuTTJf0vyzdbagWGVfUkeMWYNAAAAAACMY9SAubV2Z2vtpCTbk5yc5HFr3baqzqyqvVW1d//+/aPVCMCEvgswO3ouwGzpuwDjGTVgXtRa+2aSy5I8OcmxVbV1uGt7kluW2ea81tqu1tqubdu2zaJMgCOavgswO3ouwGzpuwDjGS1grqptVXXsMH//JE9PckMmQfPpw2ovTPLesWoAAAAAAGA8W1dfpdsJSS6oqi2ZBNkXt9Y+UFVfTPJHVfXrST6X5C0j1gAAAAAAwEhGC5hba9cmeeISy2/MZDxmAAAAAAA2sZmMwQwAAAAAwOFHwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0GS1grqpHVtVlVfXFqrq+ql46LH9NVd1SVdcM0zPGqgEAAAAAgPFsHXHfB5L8q9baZ6vqwUk+U1WXDve9vrX2WyMeGwAAAACAkY0WMLfWbkty2zD/raq6IckjxjoeAAAAAACzNZMxmKvqxCRPTHL1sOjnq+raqnprVT10mW3OrKq9VbV3//79sygT4Iim7wLMjp4LMFtHUt/dvmNnFhYWVp2279g571KBw0S11sY9QNWDknwsyW+01t5dVccnuSNJS/JrSU5orf2zlfaxa9eutnfv3lHrBDgMVe+G+i5Al66+q+cCdNN3l7CwsJA951y56noXn707d9111wwqAg4jS/bdUa9grqqjkrwrydtba+9Oktba11trd7bW7krypiQnj1kDAAAAAADjGC1grqpK8pYkN7TWfntq+QlTqz07yXVj1QAAAAAAwHhG+5K/JLuTvCDJF6rqmmHZv07yvKo6KZMhMm5KctaINQAAAAAAMJLRAubW2iey9LgcfzzWMQEAAAAAmJ1Rx2AGAAAAAODwJWAGAAAAAKCLgBkAAAAAgC4CZgAAAAAAugiYAQAAAADoImAGAAAAAKCLgBkAAAAAgC4CZgAAAAAAuqwpYK6q3WtZBgAAAADAkWOtVzD/7hqXAQAAAABwhNi60p1V9eQkpyTZVlUvn7rrIUm2jFkYAAAAAAAb24oBc5KjkzxoWO/BU8v/OsnpYxUFAAAAAMDGt2LA3Fr7WJKPVdX5rbWvzagmAAAAAAA2gdWuYF50v6o6L8mJ09u01k4doygAAAAAADa+tQbM70hyTpI3J7lzvHIAAAAAANgs1howH2it/f6olQAAAAAAsKksrHG991fVi6vqhKo6bnEatTIAAAAAADa0tV7B/MLh31dOLWtJvn99ywEAAAAAYLNYU8DcWnvU2IUAAAAAALC5rClgrqqfW2p5a+0/r285AAAAAABsFmsdIuNJU/PHJPnxJJ9NImAGAAAAADhCrXWIjF+Yvl1Vxyb5o1EqAgAAAABgU1jo3O5vkhiXGQAAAADgCLbWMZjfn6QNN7ck+cEkF49VFAAAAAAAG99ax2D+ran5A0m+1lrbN0I9AAAAAABsEmsaIqO19rEkX0ry4CQPTfK3YxYFAAAAAMDGt6aAuar2JPlUkp9JsifJ1VV1+piFAQAAAACwsa11iIxfSfKk1trtSVJV25L8aZJ3jlUYAAAAAAAb25quYE6ysBguD/5itW2r6pFVdVlVfbGqrq+qlw7Lj6uqS6vqK8O/D+2sHQAAAACAOVprwHxJVX2oqs6oqjOSfDDJH6+yzYEk/6q19vgkP5LkJVX1+CS/nOQjrbXHJPnIcBsAAAAAgE1mxSEyqurRSY5vrb2yqv5JkqcMd30yydtX2ra1dluS24b5b1XVDUkekeSZSZ46rHZBksuTvKqzfgAAAAAA5mS1K5jfkOSvk6S19u7W2stbay9P8p7hvjWpqhOTPDHJ1ZkE1rcNd/15kuOX2ebMqtpbVXv379+/1kMB0EnfBZgdPRdgtvRdgPGsFjAf31r7wsELh2UnruUAVfWgJO9K8rLW2l8ftJ+WpC21XWvtvNbartbarm3btq3lUADcB/ouwOzouQCzpe8CjGe1gPnYFe67/2o7r6qjMgmX395ae/ew+OtVdcJw/wlJbl9uewAAAAAANq7VAua9VfUvDl5YVf88yWdW2rCqKslbktzQWvvtqbvel+SFw/wLk7x37eUCAAAAALBRrPglf0leluQ9VfX83B0o70pydJJnHlJWDgAAIABJREFUr7Lt7iQvSPKFqrpmWPavk/xmkour6kVJvpZkT0/hAAAAAADM14oBc2vt60lOqaofS/KEYfEHW2sfXW3HrbVPJKll7v7xQ6oSAAAAAIANZ7UrmJMkrbXLklw2ci0AAAAAAGwiq43BDAAAAAAASxIwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzABwBNi+Y2cWFhZWnbbv2DnvUgEAANhEts67AABgfLfuuzl7zrly1fUuPnv3DKoBAADgcOEKZgAAAAAAugiYAQAAAADoImAGAAAAAKCLgBkAAAAAgC4CZgAAAAAAugiYAQAAAADoImAGAAAAAKCLgBkAAAAAgC4CZgAAAAAAugiYAQAAAADoImAGAAAAAKCLgBkAAAAAgC4CZgAAAAAAugiYAQAAAADoImAGAAAAAKCLgBkAAAAAgC4CZgAAAAAAuowWMFfVW6vq9qq6bmrZa6rqlqq6ZpieMdbxAQAAAAAY15hXMJ+f5LQllr++tXbSMP3xiMcHAAAAAGBEowXMrbUrkvzlWPsHAAAAAGC+5jEG889X1bXDEBoPXW6lqjqzqvZW1d79+/fPsj6AI5K+CzA7ei7AbOm7AOOZdcD8+0l+IMlJSW5L8h+XW7G1dl5rbVdrbde2bdtmVR/AEUvfBZgdPRdgtvRdgPHMNGBurX29tXZna+2uJG9KcvIsjw8AAAAAwPqZacBcVSdM3Xx2kutmeXwAAAAAANbP1rF2XFUXJnlqkodX1b4k/ybJU6vqpCQtyU1Jzhrr+AAAAAAAjGu0gLm19rwlFr9lrOMBAAAAADBbs/6SPwAAAAAADhMCZgAAAAAAugiYAYDvabUlCwsLq07bd+ycd6kAAABsAKONwQwAbEJ3Hciec69adbWLz949g2IAAADY6FzBDAAAAABAFwEzAAAAAABdBMwAAAAAAHQRMAMAAAAA0EXADAAAAABAFwEzcMi279iZhYWFVaftO3bOu1QAAGbA+0PYfFpt8XMLrIut8y4A2Hxu3Xdz9pxz5arrXXz27hlUAwDAvHl/CJvQXQey59yrVl3Nzy2wGlcwAwAAAADQRcAMAAAAAEAXATMAAAAAAF0EzAAAAAAAdBEwAwAAAADQRcAMAADAkrbv2JmFhYVVp9bavEsFAOZk67wLAAAAYGO6dd/N2XPOlauud9FZp8ygGgBgI3IFMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0GS1grqq3VtXtVXXd1LLjqurSqvrK8O9Dxzo+AAAAAADjGvMK5vOTnHbQsl9O8pHW2mOSfGS4DQAAAADAJjRawNxauyLJXx60+JlJLhjmL0jyrLGODwAAAADAuGY9BvPxrbXbhvk/T3L8citW1ZlVtbeq9u7fv3821QEcwfRdgNnRcwFm63Dou9t37MzCwsKqU2tt3qUCR5it8zpwa61V1bJdr7V2XpLzkmTXrl26I8DI9F2A2dFzAWbrcOi7t+67OXvOuXLV9S4665QZVANwt1lfwfz1qjohSYZ/b5/x8QEAAAAAWCezDpjfl+SFw/wLk7x3xscHAAAAAGCdjBYwV9WFST6Z5LFVta+qXpTkN5M8vaq+kuRpw20AAAAAADah0cZgbq09b5m7fnysYwIAAAAAMDuzHiIDAAAAAIDDhIAZmLvtO3ZmYWFh1Wn7jp3zLhUAAACAKaMNkQGwVrfuuzl7zrly1fUuPnv3DKoBAAAAYK1cwQwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMALDBbN+xMwsLC6tO23fsnHepAHBIWm1Z0+84v+cAYPPYOu8CAIB7unXfzdlzzpWrrnfx2btnUA0ArKO7DmTPuVetaVW/5wBgc3AFMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXbbOuwAAoE+rLVlYWNtnxa21kasBAADgSCRgBoDN6q4D2XPuVWta9aKzThm5GAAAAI5EhsgAAAAAAKCLgBkAAAAAgC4CZgAAAAAAugiYAQAAAADoImAGAAAAAKCLgBkAAAAAgC4CZiBJsn3HziwsLKxpaq2taZ+ttqzr/tb7sWzfsXNdjwsAAABwpNk67wKAjeHWfTdnzzlXrmndi846ZW07vetA9px71frtb43W+lguPnv3uh4XAAAA4EjjCmYAAAAAALoImAEAAAAA6DKXITKq6qYk30pyZ5IDrbVd86gDAAAAAIB+8xyD+cdaa3fM8fgAAAAAANwHhsgAAAAAAKDLvALmluTDVfWZqjpzqRWq6syq2ltVe/fv3z/j8gCOPPouwOzoubC6VluysLCw6rR9x855l8omoO8CjGdeQ2Q8pbV2S1V9X5JLq+pLrbUrpldorZ2X5Lwk2bVrV5tHkQBHEn0XYHb0XFiDuw5kz7lXrbraxWfvnkExbHb6LsB45nIFc2vtluHf25O8J8nJ86gDAAAAAIB+Mw+Yq+qBVfXgxfkkP5HkulnXAQAAAADAfTOPITKOT/Keqlo8/h+21i6ZQx0AAAAAANwHMw+YW2s3JvmhWR8XAAAAAID1NZcxmAEAAAAA2PzmMUQGAAAAI9i+Y2du3XfzqustbD06dx3421XXa62tR1kAwGFMwAwAAHCYuHXfzdlzzpWrrnfRWafkOedetab1AABWYogMAAAAAAC6CJgBAAAAAOgiYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAAAAAOgiYIZNavuOnVlYWFh12r5j57xLXTettqzpMbfW5l0qAAAAwBFh67wLAPrcuu/m7DnnylXXu/js3TOoZkbuOpA951616moXnXXKDIoBAAAAwBXMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETDDYa7VliwsLKw6tdbmXerMrfW5WVhYyPYdO+ddLmwoa/358bMDsD6279jpPR0wF/7fBKxm67wLAEZ214HsOfeqVVe76KxTZlDMBrPG5yZJLj5798jFwCazxp8fPzsA6+PWfTdnzzlXrrreEfmeDhiX/zcBq3AFMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMADAj23fszMLCwqpTa23epQIwA2v9veB3w8pabVnTc7h9x855lwoAh6Wt8y4AAI4Ut+67OXvOuXLV9S4665QZVAPAvK3190Lid8OK7jqQPedetepqF5+9ewbFAMCRxxXMAAAAAAB0ETADAAAAANBFwAwAAAAAQJe5BMxVdVpVfbmqvlpVvzyPGgAAAAAAuG9mHjBX1ZYk/2eSn0zy+CTPq6rHz7oOAAAAAADum3lcwXxykq+21m5srf1tkj9K8sw51AEAAAAAwH1QrbXZHrDq9CSntdb++XD7BUn+p9bazx+03plJzhxuPjbJl9d4iIcnuWOdyl1vauu3ketTWx+19TmU2u5orZ221h3ruzOntj4bubZkY9entj6j9N370HMPtaZZU1sftfVRW5+NXFui7x4qtfVRWx+19Tmcaluy727YgPk+7H9va23Xeuxrvamt30auT2191NZnI9a2EWtapLY+auu3ketTW5+NWNtGrGmR2vqorY/a+mzk2pKNWd9GrGmR2vqorY/a+hwJtc1jiIxbkjxy6vb2YRkAAAAAAJvIPALmTyd5TFU9qqqOTvLcJO+bQx0AAAAAANwHW2d9wNbagar6+SQfSrIlyVtba9ev4yHOW8d9rTe19dvI9amtj9r6bMTaNmJNi9TWR239NnJ9auuzEWvbiDUtUlsftfVRW5+NXFuyMevbiDUtUlsftfVRW5/DvraZj8EMAAAAAMDhYR5DZAAAAAAAcBgQMAMAAAAA0EXADAAAAABAFwEzAAAAAABdBMwAAAAAAHQRMAMAAAAA0EXADAAAAABAFwEzAAAAAABdBMwAAAAAAHQRMAMAAAAA0EXADAAAAABAFwEzAAAAAABdBMyHqar646o6dgPU8Xer6p0d261af1X926p6Wn9139vP5VV14kHL/mFVffKgZVur6utV9XfXuN9VH3tVPbWqPrDMfTdV1cPXcqzNYKXHOtx/RlW9cYTjnjH9mh1uzysbj/57SMfSf2dgtf67hu13VdV/Wua+m6rq4VV1bFW9eL2OCWul5x7SsfTcTge/n1xhvfOr6vQV7r+8qnatc236LzOn9x7SsfTeTuvVe9ew/ZKv9fTzN8yfsl7HPBxtnXcBjKO19ox515AkrbVbk9zrh66qtrbWDqyw3ar1t9Z+9T6Wt5KPJ9leVTtba18blj0tyfXDY1rR8PiWfOzM3BlJrkuy6usG60H/vc/03w2mtbY3yd5VVjs2yYuT/N74FcHd9Nz7TM9dmzOycd9P6r/MnN57n+m9a3NGZtB71/haPzXJt5NcNWYtm5krmOekqh5YVR+sqs9X1XVV9Zxh+U1V9e+r6gtV9amqevSwfFtVvauqPj1Mu4flD6qqPxjWv7aq/unUfh4+zP/ssK9rqurcqtoyTOcPx/5CVf3ifXw8v1lVL5m6/ZqqekVVnVhV1w3Lzqiq91XVR5N8pKoeUFUXV9UXq+o9VXX14if6dfcVUSdW1Q1V9aaqur6qPlxV9x/W+d4nRlX1pKq6ang+P1VVDx62/XhVfXaYTlmi9CW11u5KcnGS504tfm6SC6vq5Kr6ZFV9bjjmY5d5fNOPfaVaHjKcC1+uqnOq6l4/lzN6DZc7J3+4qj5WVZ+pqg9V1QnD8sur6neGmq6rqpOH5Us+P4dYy3Ln+2uq6q3DsW+sqn85tc3/MTyHn6iqC4fz7/Qku5K8fajz/sPqvzC8Dl+oqsfdl+eNzWeFc13/jf67xPN72Pff4TEcWxN/UVU/Nyz/z1X19Lrn1RsPG86F66vqzUlq2M1vJvmBoab/MCx7UFW9s6q+VFVvr6q699E53K1wfuu50XOXeH5n8RqeONWXbhj61AOG++7Vd2uJ95NV9avD+XldVZ3X09+q6ieG5/ezVfWOqnrQsPymqnptHfRedfjZuHQ4P95cVV8bzn39l3spvVfvvdsR3XuH1+7dw/wzq+q/V9XRVXVMVd04LJ9+rU8b6vxskn+yWHuSs5P84lDL/zzs/keH1+jGcjVz0lozzWFK8k+TvGnq9t8Z/r0pya8M8z+X5APD/B8mecowvyPJDcP865K8YWo/D53az8OT/GCS9yc5alj+e8N+fzjJpVPbHbtEjc9Pcs0S0zuXWPeJST42dfuLSR6Z5MQk1w3LzkiyL8lxw+1XJDl3mH9CkgNJdh1U/4nD8pOG5Rcn+dlh/vxMPrE7OsmNSZ40LH9IJlfnPyDJMcOyxyTZu8xrcXmSE5dYvivJ54b5+yW5Pclxi/sflj8tybuWeXzTj33JWjL5FOw7Sb4/yZYklyY5fU6v4b3OySRHZfIJ3bZh2XOSvHXqeXvTMP+jU491uefnqRnO52VehzOSvHGV8/01Qz33G56bvxhqfNLwuI5J8uAkX0nyiqk6d00d56YkvzDMvzjJm+fdD0yznZY616fODf1X/53Hazjv/ntOkp8azoVPT+37K0keOL19kv+U5FeH+Z9K0nL3+XLd1D6fmuSvkmzP5IKGT2b4OTIdWdNS5/fw703Rc6frPzF67qxewxMz6V27h9tvHV6j1fru9PvJ46bm/0uSfzT9Wq3w83D58Hw/PMkVSR44LH9V7u6tN2WJ96pJ3pjk1cP8adF/TStM0XsTvTfRezO8VjcO87+VyXvd3Un+YZILD3qtj0ly8/Ac1nA+LP6MvCZDxjC1zTsy6bOPT/LVef/cz3syRMb8fCHJf6yq12Vywn586r4Lp/59/TD/tCSPn/qA5iE1+ZT7aZn61Ku19o2DjvPjmTSGTw/b3j+TxvX+JN9fVb+b5INJPnxwga21tyd5+1oeTGvtc1X1fTUZH2dbkm+01m6ug8YayqRB/eUw/5QkvzNsf11VXbvM7v+stXbNMP+ZTBrTtMcmua219ulhX3+dTD61TfLGqjopyZ1J/t5aHsvUY9pbk09sH5tJ0726tfaXVfXIJBdU1WMyaZBHLfP4ph21Qi2faq0tfnJ2YSbPy/RYSjN5DbPEOVlVT8jkl/Glw7G3JLltapsLh+NcUVUPqck4Vg/O8s/PWi13vifJB1tr303y3aq6PcnxmfyCeG9r7TtJvlNV719l/+8e/v1Mhk8lOaLov/rvIv134uOZBNVfS/L7Sc6sqkdkci79zUEXh/xohr7ZWvtgVR183k/7VGttX5JU1TWZnD+fWGNNHD70XD130UbpuUlyc2vtymH+bUn+ZZJLsnLfnfZjVfVLmYQ6xyW5fqhzrX4kk0DiyuFYR2cSBC9a6r3qU5I8O0laa5fov6xC79V7Fx3Rvbe1dqCq/ltV/WCSk5P8dibvZ7dk8h542uMyOR++kiRV9bYkZ66w+/+rTa5G/2JVHb9SHUcCAfOctNb+a1X9gyTPSPLrVfWR1tq/Xbx7etXh34UkPzIEaN9Ta/iLgCQXtNZefa87qn4oyf+SyaX+e5L8s4Puf36SVy6xz6+21pa6/P8dmXzq8z8kuWiZev5mtYKX8N2p+TszaXhr8YtJvp7khzJ5/r6z8upLujCTX6g/mLt/Ef9akstaa88efqFdPrX+co9vpVraQesefHsmr+FS52SS92QyDtSTl3lcS9W+0vOzViud7wefDz19bHEfvduziem/h0T/PTL67xVJXpLJFUu/kkmAcXru/ab7UK1Hv2aT03MPiZ47u9dwqVoqK/fdxWMdk8kVfruGgOs1mVz1digqk6Doecvcf1/fq+q/Rzi995DovYd/770iyU8m+f+S/GkmVx9vWab2QzF97hzxQxEZg3lOhk/e/t/W2tuS/Ick/2Dq7udM/bv4SfaHk/zC1PYnDbOXZvKfwsXlDz3oUB9JcnpVfd9w/3FVtbMm4yUttNbeleR/P+j4SSafRrXWTlpiWm5smYsyaY6nZ9L8V3NlJk0qVfX4JH9/Ddss5ctJTqiqJw37enBVbc3kT4xvGz5RekEmDeRQXZjkZ5OcmuS9w7K/k+SWYf6MNe5npVpOrqpH1WQspOfk3lcXzOQ1XOac/HKSbVX15GGdo6rqf5zabHEsr6ck+avW2l91Pj8HW+58X86VSf5RTcZRelCSn56671uZXNUHSfTfgf47of9Oar05kz+RfMxwhcsnMvmTxSuWWP2KJP/rcOyfTLJ43uu1LEnPTaLnLtoQPXewY7G/ZtLTPpGV++50j1sMNO4Y3nf2jLv5fyfZXXePf/vAqlrt6sfp8+gnov+yAr03id67SO+dXDTxsiSfbK3tT/KwTK5Mv+6g9b6U5MSq+oHh9vSHgHrtKgTM8/P3k3yqJn+y9G+S/PrUfQ+tyZ9vvDSTT6KSyZ8O7KrJwPpfzOQTpAzbPbQmg5x/PsmPTR+ktfbFTJrBh4d9XprkhCSPSHL5cPy3JbnXp1WHqrV2fSY/cLe01pb7k4Zpv5dJI/ni8Diuz2S8sEM97t9m0ih/d3gOLs2k+fxekhcOyx6Xjk8zW2s3DNt9tLW2uP2/T/LvqupzWfvVACvV8ulMxlS7IcmfZXLV2nQNs3oN73VODs/t6UleN9R+TZLpLwz4zvA8nJPkRcOynufnYMud70tqkz9Xel+Sa5P8SSZ/ErZ4Lp2f5Jy655f8cWTTf/XfRfrv3a5O8l+H+Y9n8hiX+nPq12byhSbXZ/Jn2/9PkrTW/iKTP/W+ru7+kilI9NxEz120UXpuMgk0XlJVN2QS1P7+Kn33/AzvJzO5Yu1NmQQTHxoe1yEZAo4zMvlCr2szCflW++Lp1yb5iZp8qdfPJPnzJN/Sf1mG3qv3LtJ7J+9zj8/dF09cm+QLrbV7XFHdJlfwn5nkgzX5kr/bp+5+f5Jn1z2/5I8pddDzyZxV1U2ZXPJ/x7xrGVtVbclkIPnvDJ8Q/WmSxw4NZpZ1XJ7kjNbaTbM87mY3PG+vaK3tnXctyeQbjltr367JN9FekeTM1tpn510Xm4f+q/9uFhut/0IPPVfPnZea/Mn5B1prT5hzKYekqu6X5M42GU/0yZkEM6v9lR/cg96r987LZu29rJ2xmJinByS5rKqOymS8mhfPutlzWDmvJn/6dEwmY0gJl2F5+i/A7Oi5rIcdSS4e/sz9b5P8iznXAxud3gsz5ApmjnhVdUYm3/75zXnXciSoqv8tkz/HmnZla+0lS60PHL7039nSf+HIpufOTlW9J8mjDlr8qtbah+ZRDzA/eu/s6L3zJWAGAAAAAKCLL/kDAAAAAKDLphiD+bTTTmuXXHLJvMsA2Gyqd0N9F6BLV9/VcwG66bsAs7Vk390UVzDfccdh/wWnABuKvgswO3ouwGzpuwDra1MEzAAAAAAAbDwCZgAAAAAAugiYAQAAAADoImAGAAAAAKCLgBkAAAAAgC4CZgAAAAAAugiYAQAAAADoImAGAAAAAKCLgBkAAAAAgC4CZgAAAAAAugiYAQAAAADoImAGAAAAAKCLgBkAAAAAgC4CZgAAAAAAugiYAQAAAADoImAGAAAAAKCLgBkAAAAAgC6jB8xVtaWqPldVHxhuP6qqrq6qr1bVRVV19Ng1AAAAAACw/mZxBfNLk9wwdft1SV7fWnt0km8kedEMagAAAAAAYJ2NGjBX1fYkP5XkzcPtSnJqkncOq1yQ5Flj1gAAAAAAwDjGvoL5DUl+Kcldw+2HJflma+3AcHtfkkcstWFVnVlVe6tq7/79+0cuEwB9F2B29FyA2dJ3AcYzWsBcVT+d5PbW2md6tm+tndda29Va27Vt27Z1rg6Ag+m7ALOj5wLMlr4LMJ6tI+57d5J/XFXPSHJMkock+Z0kx1bV1uEq5u1JbhmxBgAAAAAARjLaFcyttVe31ra31k5M8twkH22tPT/JZUlOH1Z7YZL3jlUDAAAAAADjGXsM5qW8KsnLq+qrmYzJ/JY51AAAAAAAwH005hAZ39NauzzJ5cP8jUlOnsVxAQAAAAAYzzyuYAYAAAAA4DAgYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAAAAAOgiYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAAAAAOgiYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAAAAAOgiYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAAAAAOgiYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAAAAAOgiYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6CJgBAAAAAOgiYAYAAAAAoIuAGQAAAACALgJmAAAAAAC6jBYwV9UxVfWpqvp8VV1fVa8dlp9fVX9WVdcM00lj1QAAAAAAwHi2jrjv7yY5tbX27ao6KsknqupPhvte2Vp754jHBgAAAABgZKMFzK21luTbw82jhqmNdTwAAAAAAGZr1DGYq2pLVV2T5PYkl7bWrh7u+o2quraqXl9V91tm2zOram9V7d2/f/+YZQIQfRdglvRcgNnSdwHGM2rA3Fq7s7V2UpLtSU6uqickeXWSxyV5UpLjkrxqmW3Pa63taq3t2rZt25hlAhB9F2CW9FyA2dJ3AcYzasC8qLX2zSSXJTmttXZbm/hukj9IcvIsagAAAAAAYH2NFjBX1baqOnaYv3+Spyf5UlWdMCyrJM9Kct1YNQAAAAAAMJ7RvuQvyQlJLqiqLZkE2Re31j5QVR+tqm1JKsk1Sc4esQYAAAAAAEYyWsDcWrs2yROXWH7qWMcEAAAAAGB2ZjIGMwAAAAAAhx8BMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAAAAAAXQTMAAAAAAB0ETADAAAAANBFwAwAAAAAQBcBMwAA/P/t3X+wpXddH/D35+6S8rvBcZsJudmFKoNSR4OzRsw6FonYoI5Ih27JtBQ72iRTUVKsLbV/qDOdjs4o2Gk7JJGkxCmGrPwYEKlAMUrZWGAJERKCBSlhNxuTpVQhTltc8ukf96xcd3Zzz37vPT/u3ddr5pl7znOec5733b33s2ff5znPAQAAhiiYAQAAAAAYomAGAAAAAGCIghkAAAAAgCEKZgAAAAAAhiiYAQAAAAAYomAGAAAAAGCIghkAAAAAgCEKZgAAAAAAhiiYAQAAAAAYomAGAAAAAGCIghkAAAAAgCEKZgAAAAAAhiiYAQAAAAAYomAGAAAAAGDIzArmqnp8VX24qv6wqu6tql+YrH9mVX2oqj5TVbdX1QWzygAAAAAAwOzM8gjm/5fkBd39bUkuS3JVVT0vyS8leV13f2OS/53kx2aYAQAAAACAGZlZwdxrHplcfdxk6SQvSPKWyfpbk/zIrDIAAAAAADA7Mz0Hc1Xtqqq7kzyc5H1J/jjJn3b3yckmx5Jccpb7XlNVR6rqyIkTJ2YZE4CYuwDzZOYCzJe5CzA7My2Yu/ur3X1ZktUklyf5pnO4703dvb+79+/Zs2dmGQFYY+4CzI+ZCzBf5i7A7My0YD6lu/80yR1JvivJhVW1e3LTapIH5pEBAAAAAICtNbOCuar2VNWFk8tPSPLCJPdlrWh+6WSzVyR5x6wyAAAAAAAwO7s33mTYxUlurapdWSuyD3X3u6rqk0neXFX/JsnHktw8wwwAAAAAAMzIzArm7v54kueeYf1ns3Y+ZgAAAAAAtrG5nIMZAAAAAICdR8EMAAAAAMAQBTMAAAAAAEMUzAAAAAAADFEwAwAAAAAwRMEMAAAAAMAQBTMAAAAAAEMUzABgt7XqAAAZpElEQVQAAAAADFEwAwAAAAAwRMEMAAAAAMAQBTMAAAAAAEMUzAAAAAAADFEwAwAAAAAwRMEMAAAAAMAQBTMAAAAAAEMUzAAAAAAADFEwAwAAAAAwRMEMAAAAAMAQBTMAAAAAAEMUzAAAAAAADFEwAwAAAAAwRMEMAAAAAMAQBTMAAAAAAEMUzAAAAAAADFEwAwAAAAAwRMEMAAAAAMAQBTMAAAAAAENmVjBX1aVVdUdVfbKq7q2qV03W/3xVPVBVd0+WH5hVBgAAAAAAZmf3DB/7ZJKf7u67quopST5aVe+b3Pa67v7lGe4bAAAAAIAZm1nB3N0PJnlwcvnLVXVfkktmtT8AAAAAAOZrLudgrqpnJHlukg9NVr2yqj5eVbdU1dPmkQEAAAAAgK0184K5qp6c5K1Jru/uLyV5fZJvSHJZ1o5w/pWz3O+aqjpSVUdOnDgx65gA5z1zF2B+zFyA+TJ3AWZnpgVzVT0ua+Xym7r7bUnS3Q9191e7+9Ekv5bk8jPdt7tv6u793b1/z549s4wJQMxdgHkycwHmy9wFmJ2ZFcxVVUluTnJfd7923fqL1232kiT3zCoDAAAAAACzM7MP+UtyIMnLk3yiqu6erPvZJFdX1WVJOsnnklw7wwwAAAAAAMzIzArm7v5gkjrDTe+e1T4BAAAAAJifmX/IHwAAAAAAO5OCGQAAAACAIQpmAAAAAACGKJgBAAAAABiiYAYAAAAAYIiCGQAAAACAIQpmAAAAAACGKJgBAAAAABgyVcFcVQemWQcAAAAAwPlj2iOY//2U6wAAAAAAOE/sfqwbq+q7klyRZE9VvXrdTU9NsmuWwQAAAAAAWG6PWTAnuSDJkyfbPWXd+i8leemsQgEAAAAAsPwes2Du7t9P8vtV9cbuvn9OmQAAAAAA2AY2OoL5lL9WVTclecb6+3T3C2YRCgAAAACA5TdtwfybSW5I8oYkX51dHAAAAAAAtotpC+aT3f36mSYBAAAAAGBbWZlyu9+qqn9aVRdX1dedWmaaDAAAAACApTbtEcyvmHz9mXXrOsnf3No4AAAAAABsF1MVzN39zFkHAQAAAABge5mqYK6qf3Sm9d3961sbBwAAAACA7WLaU2R8x7rLj09yZZK7kiiYAQAAAADOU9OeIuMn11+vqguTvHkmiQAAAAAA2BZWBu/350mclxkAAAAA4Dw27TmYfytJT67uSvLNSQ7NKhQAAAAAAMtv2nMw//K6yyeT3N/dx2aQBwBYoNW9+3L82NENt3v66qU59vn755AIAACAZTbtOZh/v6ouytc+7O/Ts4sEACzK8WNHc/CGwxtud+i6A3NIAwAAwLKb6hzMVXUwyYeT/L0kB5N8qKpeOstgAAAAAAAst2lPkfGvk3xHdz+cJFW1J8l/TfKWWQUDAAAAAGC5TXUEc5KVU+XyxP/a6L5VdWlV3VFVn6yqe6vqVZP1X1dV76uqT0++Pm0wOwAAAAAACzRtwfw7VfWeqvrRqvrRJL+d5N0b3Odkkp/u7uckeV6Sn6iq5yR5TZL3d/ezkrx/ch0AAAAAgG3mMU+RUVXfmOSi7v6Zqvq7Sb57ctMfJHnTY923ux9M8uDk8per6r4klyR5cZLnTza7NcnvJfmXg/kBAAAAAFiQjY5g/tUkX0qS7n5bd7+6u1+d5O2T26ZSVc9I8twkH8paYf3g5KY/SXLRWe5zTVUdqaojJ06cmHZXAAwydwHmx8wFmC9zF2B2NiqYL+ruT5y+crLuGdPsoKqenOStSa7v7i+d9jidpM90v+6+qbv3d/f+PXv2TLMrADbB3AWYHzMXYL7MXYDZ2ahgvvAxbnvCRg9eVY/LWrn8pu5+22T1Q1V18eT2i5M8fLb7AwAAAACwvDYqmI9U1T85fWVV/XiSjz7WHauqktyc5L7ufu26m96Z5BWTy69I8o7p4wIAAAAAsCwe80P+klyf5O1V9Q/ytUJ5f5ILkrxkg/seSPLyJJ+oqrsn6342yS8mOVRVP5bk/iQHR4IDAAAAALBYj1kwd/dDSa6oqu9N8i2T1b/d3b+70QN39weT1FluvvKcUgIAAAAAsHQ2OoI5SdLddyS5Y8ZZAAAAAADYRjY6BzMAAAAAAJyRghkAAAAAgCEKZgAAAAAAhiiYAQAAAAAYomAGAAAAAGCIghkAAAAAgCEKZgAAAAAAhiiYAQAAAAAYomAGAAAAAGCIghkAAAAAgCEKZgAAAAAAhiiYAQAAAAAYomAGAAAAAGCIghkAAAAAgCEKZgAAAAAAhiiYAQAAAAAYomAGAAAA4IxW9+7LysrKVMvq3n2LjgsswO5FBwAAAABgOR0/djQHbzg81baHrjsw4zTAMnIEMwAAAAAAQxTMAAAAAAAMUTADAAAAADBEwQwAAAAAwBAFMwAAAAAAQxTMAAAAAAAMUTADAAAAADBEwQwAAAAAwBAFMwAAAAAAQ2ZWMFfVLVX1cFXds27dz1fVA1V192T5gVntHwAAAACA2ZrlEcxvTHLVGda/rrsvmyzvnuH+AQAAAACYoZkVzN39gSRfnNXjAwAAAACwWIs4B/Mrq+rjk1NoPO1sG1XVNVV1pKqOnDhxYp75AM5L5i7A/Ji5APNl7gLMzrwL5tcn+YYklyV5MMmvnG3D7r6pu/d39/49e/bMKx/AecvcBZgfMxdgvsxdgNmZa8Hc3Q9191e7+9Ekv5bk8nnuHwAAAACArTPXgrmqLl539SVJ7pnn/gEAAAAA2Dq7Z/XAVXVbkucn+fqqOpbk55I8v6ouS9JJPpfk2lntHwAAAACA2ZpZwdzdV59h9c2z2h8AAAAAAPM17w/5AwAAAABgh1AwAwAAAAAwRMEMAOeB1b37srKysuHS3YuOCgDADjftc9PVvfsWHRWYwszOwQwALI/jx47m4A2HN9zu9muvmEMaAADOZ9M+Nz103YE5pAE2yxHMAAAAAAAMUTADAAAAADBEwQwAAAAAwBAFMwAAAAAAQxTMAAAAAAAMUTADAAAAADBEwQwAAAAAwBAFMwAAAAAAQxTMAAAAAAAMUTADAAAAADBEwQwAAAAAwBAFMwAAAAAAQxTMAAAAMLG6d19WVlY2XFb37lt0VFg6Xbum+v3p7kVHBbbQ7kUHAAAAgGVx/NjRHLzh8IbbHbruwBzSwDbz6MkcvPHODTe7/dor5hAGmBdHMAMAAAAAMETBDAAAAADAEAUzAAAAAABDFMwAAAAAAAxRMAMAAAAAMETBDAAAAADAEAUzAAAAAABDFMwAAAAAAAxRMAMAAAAAMETBDAAAAADAkJkVzFV1S1U9XFX3rFv3dVX1vqr69OTr02a1fwAAAAAAZmuWRzC/MclVp617TZL3d/ezkrx/ch0AAAAAgG1oZgVzd38gyRdPW/3iJLdOLt+a5EdmtX8AAAAAAGZr3udgvqi7H5xc/pMkF51tw6q6pqqOVNWREydOzCcdsBCre/dlZWVlw2V1775FR93RzF2A+TFzAebL3AWYnd2L2nF3d1X1Y9x+U5KbkmT//v1n3Q7Y/o4fO5qDNxzecLtD1x2YQ5rzl7kLMD9mLsB8mbsAszPvI5gfqqqLk2Ty9eE57x8AAAAAgC0y74L5nUleMbn8iiTvmPP+AQAAAADYIjMrmKvqtiR/kOTZVXWsqn4syS8meWFVfTrJ902uAwAAAACwDc3sHMzdffVZbrpyVvsEAAAAAGB+5n2KDAAAAAAAdggFM7BtdO3KysrKhsvq3n2LjgoAwJys7t3nOSIALNDMTpEBsOUePZmDN9654WaHrjswhzAAACyD48eO5uANhzfcznNEAJgNRzADAAAAADBEwQwAAAAAwBAFMwAAAAAAQxTMAAAAAAAMUTADAAAAADBEwQwAAAAAwBAFMwAAAEtnde++rKysbLh096KjAsB5bfeiAwAAAMDpjh87moM3HN5wu9uvvWIOaQCAs3EEMwAAAAAAQxTMAAAAAAAMUTADAAAAADBEwQwAAAAAwBAFMwAAAAAAQ3YvOgDAVuvalZWVjV8/e/rqpTn2+fvnkAgAgEWb9jlid88hDQDsHApmYOd59GQO3njnhpsduu7AHMIAALAUpnyOePu1V8whDADsHE6RAQAAAADAEAUzAAAAAABDFMwAAAAAAAxRMAMAAAAAMETBDAAAAADAEAUzAAAAAABDFMwAsE2t7t2XlZWVqZbuXnRcAAAAdqDdiw4AAIw5fuxoDt5weKptb7/2ihmnAQAA4HzkCGYAAAAAAIYomAEAAAAAGLKQU2RU1eeSfDnJV5Oc7O79i8gBAAAAAMC4RZ6D+Xu7+wsL3D8AAAAAAJvgFBkAAAAAAAxZVMHcSd5bVR+tqmvOtEFVXVNVR6rqyIkTJ+YcD3gsq3v3ZWVlZcNlde++RUddWsv4Z2juci66di3dzzBsJ2YuwHyZuwCzs6hTZHx3dz9QVX8jyfuq6lPd/YH1G3T3TUluSpL9+/f3IkICZ3b82NEcvOHwhtsduu7AHNJsT8v4Z2juck4ePZmDN9654WbmAJyZmQswX+YuwOws5Ajm7n5g8vXhJG9PcvkicgAAAAAAMG7uBXNVPamqnnLqcpLvT3LPvHMAAAAAALA5izhFxkVJ3l5Vp/b/G939OwvIAQAAAADAJsy9YO7uzyb5tnnvFwAAAACArbWQczADAAAAALD9LeIUGQBLoWtXVlame51tZfcFefTkVzbc7umrl+bY5+/fbDQAAJbctM8lp30emXguCcD2pGAGzl+PnszBG++catPbr70if3+KbQ9dd2CzqQAA2A6mfC457fPIxHNJALYnp8gAAAAAAGCIghkAAAAAgCEKZgAAAAAAhiiYAQAAAAAYomAGAAAAAGCIghkAAAAAgCEKZmBmunZlZWVlw6W7Fx0VAAC2jdW9+6Z6nr26d9+io7LEpv05WuT/16b9P6WfdVis3YsOAOxgj57MwRvv3HCz26+9Yg5hAABgZzh+7GgO3nB4w+0OXXdgDmnYrqb9OVro/9em/D+ln3VYLEcwAwAAAAAwRMEMAAAAAMAQBTMAAAAAAEMUzAAAAAAADFEwAwAAAAAwRMEMsIW6dmVlZWXDpbsXHRWWyurefVP97qzu3bfoqAAAAKyze9EBAHaUR0/m4I13brjZ7ddeMYcwsH0cP3Y0B284vOF2h647MIc0AAAATMsRzAAAAAAADFEwAwAAAAAwRMEMAAAAAMAQBTMAAAAAAEMUzAAAAAAADFEwwza1undfVlZWNlxW9+5bdFTgHE37+93di466oa5dO+Z7AeDsPDfdGlv97+a0j+fvZWfZSc8lge1h96IDAGOOHzuagzcc3nC7Q9cdmEMaYCtN+/t9+7VXzCHNJj16MgdvvHPDzbbF9wLAWXluukW2+t/NKR/P38vOsqOeSwLbgiOYAQAAAAAYomAGAAAAAGCIghkAAAAAgCELKZir6qqq+qOq+kxVvWYRGQAAAAAA2Jy5F8xVtSvJf0zyoiTPSXJ1VT1n3jkAAAAAANicRRzBfHmSz3T3Z7v7K0nenOTFC8gBAAAAAMAmVHfPd4dVL01yVXf/+OT6y5N8Z3e/8rTtrklyzeTqs5P80ZS7+PokX9iiuFtNtnHLnE+2MbKNOZdsX+juq6Z9YHN37mQbs8zZkuXOJ9uYmczdTczcc800b7KNkW2MbGOWOVti7p4r2cbINka2MTsp2xnn7tIWzJt4/CPdvX8rHmuryTZumfPJNka2McuYbRkznSLbGNnGLXM+2cYsY7ZlzHSKbGNkGyPbmGXOlixnvmXMdIpsY2QbI9uY8yHbIk6R8UCSS9ddX52sAwAAAABgG1lEwfyRJM+qqmdW1QVJXpbknQvIAQAAAADAJuye9w67+2RVvTLJe5LsSnJLd9+7hbu4aQsfa6vJNm6Z88k2RrYxy5htGTOdItsY2cYtcz7ZxixjtmXMdIpsY2QbI9uYZc6WLGe+Zcx0imxjZBsj25gdn23u52AGAAAAAGBnWMQpMgAAAAAA2AEUzAAAAAAADNlRBXNVXVVVf1RVn6mq1yw6zylVdUtVPVxV9yw6y+mq6tKquqOqPllV91bVqxad6ZSqenxVfbiq/nCS7RcWnel0VbWrqj5WVe9adJb1qupzVfWJqrq7qo4sOs96VXVhVb2lqj5VVfdV1XctOtMpVfXsyZ/ZqeVLVXX9onOdUlX/bPK7cE9V3VZVj1+CTObuOTJ3N8fcPXfLOnfN3KFMSzlzE3N31LLP3WWduYm5O8LcHcpk7p4jM3dzzN0x5u6YrZy7O+YczFW1K8n/SPLCJMeSfCTJ1d39yYUGS1JV35PkkSS/3t3fsug861XVxUku7u67quopST6a5EeW5M+tkjypux+pqscl+WCSV3X3f19wtL9UVa9Osj/JU7v7hxad55Sq+lyS/d39hUVnOV1V3Zrkv3X3G6rqgiRP7O4/XXSu001mygNJvrO771+CPJdk7XfgOd39f6rqUJJ3d/cbF5jJ3B1g7m6OuXvutsPcNXOnyrS0Mzcxd0ct+9xd1pmbmLubZe5OlcncHWDmbo65O8bcHcqzpXN3Jx3BfHmSz3T3Z7v7K0nenOTFC86UJOnuDyT54qJznEl3P9jdd00ufznJfUkuWWyqNb3mkcnVx02WpXlFpKpWk/xgkjcsOst2UVV/Pcn3JLk5Sbr7K8s29Ne5MskfL8PgX2d3kidU1e4kT0xyfMF5zN0B5u44c/fcbaO5a+ZubGlnbmLujlrmuWvmjjF3N8XcPQfLOnfN3HHm7hhzd1O2bO7upIL5kiRH110/liUZYttFVT0jyXOTfGixSb5m8vaQu5M8nOR93b002ZL8apJ/keTRRQc5g07y3qr6aFVds+gw6zwzyYkk/2nytp83VNWTFh3qLF6W5LZFhzilux9I8stJPp/kwSR/1t3vXWwqc3ezzN1zZu6eu+0yd83cjZm5W8DcPSfLPHMTc3ezzN2NmbubZOaeM3N3jLk7YKvn7k4qmNmEqnpykrcmub67v7ToPKd091e7+7Ikq0kur6qleOtPVf1Qkoe7+6OLznIW393d357kRUl+YvL2qWWwO8m3J3l9dz83yZ8nWapzmSXJ5C01P5zkNxed5ZSqelrWjph4ZpKnJ3lSVf3DxaZiM8zdc2PuDlv6uWvmMi/m7vS2wcxNzN1h5i7zYOaeG3N3U8zdAVs9d3dSwfxAkkvXXV+drGMDk3MPvTXJm7r7bYvOcyaTtzfckeSqRWeZOJDkhyfnIHpzkhdU1X9ebKSvmbwSle5+OMnbs/b2rmVwLMmxda8SvyVr/xAsmxcluau7H1p0kHW+L8n/7O4T3f0XSd6W5IoFZzJ3B5m7Q8zdMdth7pq50zFzN8HcPWdLPXMTc3eTzN3pmLuDzNwh5u44c3fMls7dnVQwfyTJs6rqmZNXBl6W5J0LzrT0Jie5vznJfd392kXnWa+q9lTVhZPLT8jahyt8arGp1nT3v+ru1e5+RtZ+1n63u5fiFfaqetLkwxQyeVvI9ydZik8W7u4/SXK0qp49WXVlkoV/2MMZXJ0leuvKxOeTPK+qnjj5vb0ya+czWyRzd4C5O8bcHbNN5q6ZOx0zd5C5e+6WeeYm5u4WMHenY+4OMHPHmLvjzN1hWzp3d29ZrAXr7pNV9cok70myK8kt3X3vgmMlSarqtiTPT/L1VXUsyc91982LTfWXDiR5eZJPTM5DlCQ/293vXmCmUy5OcmutfdLmSpJD3f2uBWfaDi5K8va1+ZDdSX6ju39nsZH+ip9M8qbJk7TPJvnHC87zV0z+sXxhkmsXnWW97v5QVb0lyV1JTib5WJKbFpzJ3B1j7u485u4gM/ecMi3tzE3M3U0wd8eYu4PM3XPKZO6OMXN3JnN30Pkyd6t7aT4wEwAAAACAbWQnnSIDAAAAAIA5UjADAAAAADBEwQwAAAAAwBAFMwAAAAAAQxTMAAAAAAAMUTBzXquqO6rq75y27vqqev1Ztv+9qto/n3QAO4+5CzBf5i7AfJm7nI8UzJzvbkvystPWvWyyHoCtZ+4CzJe5CzBf5i7nHQUz57u3JPnBqrogSarqGUmenuTqqjpSVfdW1S+c6Y5V9ci6yy+tqjdOLu+pqrdW1Ucmy4HJ+r9dVXdPlo9V1VNm+60BLCVzF2C+zF2A+TJ3Oe/sXnQAWKTu/mJVfTjJi5K8I2uvKh5K8m8nt+1K8v6q+tbu/viUD/vvkryuuz9YVXuTvCfJNyf550l+orsPV9WTk/zfLf+GAJacuQswX+YuwHyZu5yPHMEMf/XtK6fetnKwqu5K8rEkfyvJc87h8b4vyX+oqruTvDPJUyeD/nCS11bVTyW5sLtPbtU3ALDNmLsA82XuAsyXuct5RcEMa68oXllV357kiUm+mLVXAa/s7m9N8ttJHn+G+/W6y+tvX0nyvO6+bLJc0t2PdPcvJvnxJE9IcriqvmkW3wzANmDuAsyXuQswX+Yu5xUFM+e97n4kyR1Jbsnaq4pPTfLnSf6sqi7K2ttazuShqvrmqlpJ8pJ169+b5CdPXamqyyZfv6G7P9Hdv5TkI0kMfuC8ZO4CzJe5CzBf5i7nGwUzrLktybclua27/zBrb1n5VJLfyNpbTs7kNUneleTOJA+uW/9TSfZX1cer6pNJrpusv76q7qmqjyf5iyT/Zeu/DYBtw9wFmC9zF2C+zF3OG9XdG28FAAAAAACncQQzAAAAAABDFMwAAAAAAAxRMAMAAAAAMETBDAAAAADAEAUzAAAAAABDFMwAAAAAAAxRMAMAAAAAMOT/A/qj+5EXt8+RAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x1080 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#\n",
    "# Sesgo de interpretación: histogramas con diferente cantidad de particiones\n",
    "# pueden llevar a que distintas personas puedan llegar a distintas\n",
    "# interpretaciones\n",
    "#\n",
    "sns.displot(\n",
    "    iris_melt,\n",
    "    x=\"Values\",\n",
    "    row=\"species\",\n",
    "    col=\"Variables\",\n",
    "    bins=30,\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44221473-8b86-45ba-9934-862d73b13b5b",
   "metadata": {},
   "source": [
    "Kernel density estimation\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "32bfaa39-e8c6-42bf-9518-43124a528b0f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1524.75x360 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(\n",
    "    iris_melt,\n",
    "    x=\"Values\",\n",
    "    col=\"Variables\",\n",
    "    hue=\"species\",\n",
    "    bins=30,\n",
    "    stat=\"density\",\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8626422b-a4cc-4756-bfa1-b10e6fefceeb",
   "metadata": {},
   "source": [
    "Diagrama de violin\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "dc081b6a-0c0c-485f-9aff-ae7af463ca93",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(\n",
    "    x=\"species\",\n",
    "    y=\"Values\",\n",
    "    data=iris_melt,\n",
    "    col=\"Variables\",\n",
    "    kind=\"violin\",\n",
    "    col_wrap=2,\n",
    ")\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}