chart_material_selection_method.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importación de librerias"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd # Manejo de bases de datos\n",
    "import matplotlib.pyplot as plt #Gráficas\n",
    "import numpy as np # Operaciones Matemáticas\n",
    "import seaborn as sns # Gráficas pro\n",
    "from sympy import init_session # Uso de Latex\n",
    "from scipy.spatial import ConvexHull # Crear la región de cluster\n",
    "import warnings # Eliminar las advertencias\n",
    "\n",
    "\n",
    "warnings.filterwarnings('ignore') # Ignorar advertencias"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "IPython console for SymPy 1.10.1 (Python 3.9.12-64-bit) (ground types: python)\n",
      "\n",
      "These commands were executed:\n",
      ">>> from sympy import *\n",
      ">>> x, y, z, t = symbols('x y z t')\n",
      ">>> k, m, n = symbols('k m n', integer=True)\n",
      ">>> f, g, h = symbols('f g h', cls=Function)\n",
      ">>> init_printing()\n",
      "\n",
      "Documentation can be found at https://docs.sympy.org/1.10.1/\n",
      "\n"
     ]
    }
   ],
   "source": [
    "init_session(use_latex=True) # Inicializar latex"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cargar base de datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>Nombre</th>\n",
       "      <th>Familia</th>\n",
       "      <th>Precio [USD/kg]</th>\n",
       "      <th>Densidad [kg/m^3]</th>\n",
       "      <th>Modulo de Young [GPa]</th>\n",
       "      <th>Esfuerzo de Fluencia [MPa]</th>\n",
       "      <th>Esfuerzo Último [MPa]</th>\n",
       "      <th>Elongación [%]</th>\n",
       "      <th>Dureza [Vickers]</th>\n",
       "      <th>Tenacidad a la fractura [MPa m^1/2]</th>\n",
       "      <th>Temperatura de fusión [K]</th>\n",
       "      <th>Fuente</th>\n",
       "      <th>Persona</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aerogel</td>\n",
       "      <td>Cerámicos</td>\n",
       "      <td>120.00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.0003</td>\n",
       "      <td>0.016</td>\n",
       "      <td>0.0002</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.80</td>\n",
       "      <td>773.00</td>\n",
       "      <td>www.matweb</td>\n",
       "      <td>2020-2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Manta Aislamiento Zirconia-alumina</td>\n",
       "      <td>Cerámicos</td>\n",
       "      <td>130.00</td>\n",
       "      <td>96.0</td>\n",
       "      <td>205.000</td>\n",
       "      <td>400.0000</td>\n",
       "      <td>1400.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>5.60</td>\n",
       "      <td>2281.15</td>\n",
       "      <td>DiaTerm. interempresas. MatWeb</td>\n",
       "      <td>Diego Rojas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>OXIDO DE SILICIO</td>\n",
       "      <td>Cerámicos</td>\n",
       "      <td>8.00</td>\n",
       "      <td>180.0</td>\n",
       "      <td>66.300</td>\n",
       "      <td>NaN</td>\n",
       "      <td>300.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3500.0</td>\n",
       "      <td>0.67</td>\n",
       "      <td>1988.15</td>\n",
       "      <td>MATWEB</td>\n",
       "      <td>2020-2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Acetato Butirado de Celulosa</td>\n",
       "      <td>Cerámicos</td>\n",
       "      <td>164.00</td>\n",
       "      <td>800.0</td>\n",
       "      <td>50.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>300.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>340.0</td>\n",
       "      <td>2.50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Matweb. Precio</td>\n",
       "      <td>Nikolai Fandiño</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bentonita</td>\n",
       "      <td>Cerámicos</td>\n",
       "      <td>3.12</td>\n",
       "      <td>1360.0</td>\n",
       "      <td>2.000</td>\n",
       "      <td>1.5600</td>\n",
       "      <td>55.000</td>\n",
       "      <td>20.0000</td>\n",
       "      <td>250.0</td>\n",
       "      <td>3.40</td>\n",
       "      <td>1473.15</td>\n",
       "      <td>researchgate . Matweb .  skb. marphil</td>\n",
       "      <td>Diego Rojas</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Nombre    Familia  Precio [USD/kg]  \\\n",
       "0                             Aerogel  Cerámicos           120.00   \n",
       "1  Manta Aislamiento Zirconia-alumina  Cerámicos           130.00   \n",
       "2                    OXIDO DE SILICIO  Cerámicos             8.00   \n",
       "3        Acetato Butirado de Celulosa  Cerámicos           164.00   \n",
       "4                           Bentonita  Cerámicos             3.12   \n",
       "\n",
       "   Densidad [kg/m^3]  Modulo de Young [GPa]  Esfuerzo de Fluencia [MPa]  \\\n",
       "0               10.0                  0.001                      0.0003   \n",
       "1               96.0                205.000                    400.0000   \n",
       "2              180.0                 66.300                         NaN   \n",
       "3              800.0                 50.000                         NaN   \n",
       "4             1360.0                  2.000                      1.5600   \n",
       "\n",
       "   Esfuerzo Último [MPa]  Elongación [%]  Dureza [Vickers]  \\\n",
       "0                  0.016          0.0002               1.0   \n",
       "1               1400.000             NaN             100.0   \n",
       "2                300.000             NaN            3500.0   \n",
       "3                300.000             NaN             340.0   \n",
       "4                 55.000         20.0000             250.0   \n",
       "\n",
       "   Tenacidad a la fractura [MPa m^1/2]  Temperatura de fusión [K]  \\\n",
       "0                                 4.80                     773.00   \n",
       "1                                 5.60                    2281.15   \n",
       "2                                 0.67                    1988.15   \n",
       "3                                 2.50                        NaN   \n",
       "4                                 3.40                    1473.15   \n",
       "\n",
       "                                  Fuente          Persona  \n",
       "0                             www.matweb           2020-2  \n",
       "1         DiaTerm. interempresas. MatWeb      Diego Rojas  \n",
       "2                                 MATWEB           2020-2  \n",
       "3                        Matweb. Precio   Nikolai Fandiño  \n",
       "4  researchgate . Matweb .  skb. marphil      Diego Rojas  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_excel(\"Base_de_datos_materiales.xlsx\") # Esta función sirve para leer un excel\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Procesamiento Inicial base de datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>Nombre</th>\n",
       "      <th>Familia</th>\n",
       "      <th>Precio [USD/kg]</th>\n",
       "      <th>Densidad [kg/m^3]</th>\n",
       "      <th>Modulo de Young [GPa]</th>\n",
       "      <th>Esfuerzo de Fluencia [MPa]</th>\n",
       "      <th>Esfuerzo Último [MPa]</th>\n",
       "      <th>Elongación [%]</th>\n",
       "      <th>Dureza [Vickers]</th>\n",
       "      <th>Tenacidad a la fractura [MPa m^1/2]</th>\n",
       "      <th>Temperatura de fusión [K]</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aerogel</td>\n",
       "      <td>Cerámicos</td>\n",
       "      <td>120.00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.0003</td>\n",
       "      <td>0.016</td>\n",
       "      <td>0.0002</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.80</td>\n",
       "      <td>773.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Manta Aislamiento Zirconia-alumina</td>\n",
       "      <td>Cerámicos</td>\n",
       "      <td>130.00</td>\n",
       "      <td>96.0</td>\n",
       "      <td>205.000</td>\n",
       "      <td>400.0000</td>\n",
       "      <td>1400.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>5.60</td>\n",
       "      <td>2281.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>OXIDO DE SILICIO</td>\n",
       "      <td>Cerámicos</td>\n",
       "      <td>8.00</td>\n",
       "      <td>180.0</td>\n",
       "      <td>66.300</td>\n",
       "      <td>NaN</td>\n",
       "      <td>300.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3500.0</td>\n",
       "      <td>0.67</td>\n",
       "      <td>1988.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Acetato Butirado de Celulosa</td>\n",
       "      <td>Cerámicos</td>\n",
       "      <td>164.00</td>\n",
       "      <td>800.0</td>\n",
       "      <td>50.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>300.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>340.0</td>\n",
       "      <td>2.50</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bentonita</td>\n",
       "      <td>Cerámicos</td>\n",
       "      <td>3.12</td>\n",
       "      <td>1360.0</td>\n",
       "      <td>2.000</td>\n",
       "      <td>1.5600</td>\n",
       "      <td>55.000</td>\n",
       "      <td>20.0000</td>\n",
       "      <td>250.0</td>\n",
       "      <td>3.40</td>\n",
       "      <td>1473.15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Nombre    Familia  Precio [USD/kg]  \\\n",
       "0                             Aerogel  Cerámicos           120.00   \n",
       "1  Manta Aislamiento Zirconia-alumina  Cerámicos           130.00   \n",
       "2                    OXIDO DE SILICIO  Cerámicos             8.00   \n",
       "3        Acetato Butirado de Celulosa  Cerámicos           164.00   \n",
       "4                           Bentonita  Cerámicos             3.12   \n",
       "\n",
       "   Densidad [kg/m^3]  Modulo de Young [GPa]  Esfuerzo de Fluencia [MPa]  \\\n",
       "0               10.0                  0.001                      0.0003   \n",
       "1               96.0                205.000                    400.0000   \n",
       "2              180.0                 66.300                         NaN   \n",
       "3              800.0                 50.000                         NaN   \n",
       "4             1360.0                  2.000                      1.5600   \n",
       "\n",
       "   Esfuerzo Último [MPa]  Elongación [%]  Dureza [Vickers]  \\\n",
       "0                  0.016          0.0002               1.0   \n",
       "1               1400.000             NaN             100.0   \n",
       "2                300.000             NaN            3500.0   \n",
       "3                300.000             NaN             340.0   \n",
       "4                 55.000         20.0000             250.0   \n",
       "\n",
       "   Tenacidad a la fractura [MPa m^1/2]  Temperatura de fusión [K]  \n",
       "0                                 4.80                     773.00  \n",
       "1                                 5.60                    2281.15  \n",
       "2                                 0.67                    1988.15  \n",
       "3                                 2.50                        NaN  \n",
       "4                                 3.40                    1473.15  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Borrar columnas Fuente y Persona\n",
    "df = df.drop(columns=['Fuente', 'Persona'])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "La base de datos cuenta con 391  materiales\n"
     ]
    }
   ],
   "source": [
    "print(\"La base de datos cuenta con {}  materiales\".format(df.shape[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Nombre',\n",
       " 'Familia',\n",
       " 'Precio [USD/kg]',\n",
       " 'Densidad [kg/m^3]',\n",
       " 'Modulo de Young [GPa]',\n",
       " 'Esfuerzo de Fluencia [MPa]',\n",
       " 'Esfuerzo Último [MPa]',\n",
       " 'Elongación [%]',\n",
       " 'Dureza [Vickers]',\n",
       " 'Tenacidad a la fractura [MPa m^1/2]',\n",
       " 'Temperatura de fusión [K]']"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Extraer nombres de las columnas\n",
    "columns = df.columns.values.tolist()\n",
    "columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Gráficar distribución datos material"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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4OGBrVX0ZIMklwCmAOzVJkpYu9+9aMgz0U7PbtJaiYYXWw4HbB8a3Az82OEGSM4Az2ug3ktwyD+97CPC1eVjOnOX3F7sGI2Vo29XttGhmtU3dTktDfn9e/lcfNx910dDsdf8Oo7+Pnwej1BawPX33oPYs8X3qSG+bEbC39uzzPn5YoTVTlNWDRqrOA86b1zdNNlXVmvlcphaf23X0uE1Hk9t1LOx1/w7u4/dmlNoCtqfvRqk9o9QWsD2zMawbMW0HjhwYPwK4Y0jvJUmSFob7d0nSghtWaL0GWJXkqCQPA9YCG4f0XpIkaWG4f5ckLbihdA+uqnuTvBr4MLAfcEFVbRnGe00yr12R1Btu19HjNh1NbtcRt4j7dxitv69RagvYnr4bpfaMUlvA9sxYqh5yKYokSZIkSb0wrO7BkiRJkiTN2ZILrUmOT/KMxa6HJEmSJGn4Fiy0Jvn/JbkkyZeS3JTk8iQ/MMtlPBo4G9g8y/m+L8l7ZjOPHmo+tuFCS3JqkqMXux6jIkkl+cuB8WVJdiX5wF7mW53kBTNY/gl7W5bmJsnuJJuT3Jjkb5J89x6mfUWSt7bhVyX5+YWrqdRJclKSW5JsTbJ+seszE0mOTPKxJDcn2ZLkNa387CRfbf+Dmwc/F5Oc1dp4S5LnLV7tHyrJtiQ3tDpvamUHJ7kiya3t+aCB6fvclicOrP/NSb6e5LVLadskuSDJziQ3DpTNenskeWrbrluT/GmSqX7Sauimac8fJvlCkuuTvD/JY1r5yiTfGthO7xiYp8/tmfXfVx/aM01b3j3Qjm1JNrfy4W6bqhr6g+533T4NvGqgbDXwEzOc97va8NOBH1iIOvuYv224yPW+EPiZxa7HqDyAbwCfAx7Rxp9PdxDpA3uZ7xXAW2ew/BP2tiwfc9+GA8MXAb821+02x/rst9jrxEd/H3Q3e/oS8HjgYcDngaMXu14zqPcK4Clt+FHAF4Gj6Q68v26K6Y9ubTsAOKq1uTf/G8A24JBJZX8ArG/D64HfXwptmeLv65+Axy2lbQM8E3gKcONctgdwdftuHeBvgef3qD3PBZa14d8faM/KwekmLafP7Zn131cf2jNVWya9/ibgtxdi2yzUmdZnAd+pqvsTd1VtrqpPJvlvSa5pR1LeCPcn9ZuTvA24DjgyyduB/wX8n4np2rTbkvxekk8n2ZTkKUk+nO5s4KsGlndjG94vyR+1tH99kl9p5Scm+VwrvyDJAa383HRnFa9P8kcLtL76aMptCHyqHQ27sa27l8L9Z8w+keTSJF9s6/FlSa5u0z2hTXdhknck+WSb7oWt/P4zPG38A0lOaMPPbdv7unRnig5s5Q/aVkl+HHgR8IftiM8T0p3x+8zAkbuD2ry/OjDvJQuwPpeyvwVObsOnARdPvJDkke3/55r2/3RKup/F+B3gpW07vDTJcUn+oU3zD0meOPlNplpWKz+m/R1tbttr1QK0eVR9Evj+dEfo/09bn59J8iOTJ0x3lPh1bfjjSd6S5Kr2Wf2jSd6X7gj/7w7M83MD2+p/J9mvlX8jye8k+Szw9CS/1j5Dbkzy2jbNI5N8MMnnW/lLF2SNqG+OA7ZW1Zer6j+AS4BTFrlOe1VVO6rqujZ8N3AzcPgeZjkFuKSq7qmq24CtdG3vs1OADW14A3DqQPlSacuJwJeq6h/3ME3v2lNVVwF3TSqe1fZIsgL4nqr6dHWp4i8G5llQU7Wnqj5SVfe20c/Q/Sb0tPrenj3o9fbZU1uSBPhZBr4HTjPdvLRloULrDwHXTi5M8lxgFd0//2rgqUme2V5+IvAXVXVs+zD5rapaA/wI8KxJX6pur6qn030BuxD4GeBpdF+UJzuD7kjGsVX1I8BFSR7e5ntpVf0w3U8B/XKSg4EXA8e0aX93iuWNiym3IfBTdNvuycCz6QLiivbak4HXAD8MvJzuLPlxwLuAXxlYxkrgP9EFoXe07TGlJIcA/x14dlU9BdgE/NpU26qq/oHu9wP/W1Wtrqov0f2j/Gab5gbgDW3R63ngb+JVM14r4+kSYG3bTj8CfHbgtd8CPlpVP0p3oOMPgf2B3wbe3bbDu4EvAM+sqmPba783xfs8ZFlJHkm3ff6kqlYDa4DtQ2jjyEuyjO5M+Q3AG4HPtb//19P9n+zNf1TVM4F3AJcBZ9J9TrwiyfcmeRLwUuD4tq12Ay9r8z6S7mjsjwHfAn4B+DG6z+1fSnIscBJwR1U9uap+CPjQPDRbS8/hwO0D49vZc/jrnSQrgWN54LPy1e0A0QV5oAtn39tZwEeSXJvkjFZ2WFXtgC6kA4e28r63ZdBaHvyFeylumwmz3R6H8+D9Z1/bBfCLdAfMJxzVDmZ/IslPtLKl0J7Z/H0thfb8BHBnVd06UDa0bbPYN2J6bnt8ju6M6g/ShViAf6yqzwxM+1NJPgl8FHgC3en0CRM/bH4D8NmquruqdgHfTusDP+DZwDsmjt5U1V10Afm2qvpim2YD3enwrwPfBt6V5KeAb86xvaPoGcDFVbW7qu4EPgH8aHvtmna0+R667g4faeU30AXVCZdW1X3tj/7LdH8H03ka3bb/+3R96NfRdevZ67ZKd030Y6rqE61oYjsDXE93AOPngHsnz6sHVNX1dNvvNODySS8/F1jfts3HgYcDj51iMY8G/iZdD4i3AMdMMc10y/o08Pokvwk8rqq+NacGjZ9HtHW6CfgKcD7d//FfAlTVR4Hvbf8vezL4ubtl4H/9y8CRdGcwngpc097vRLountAF2Pe24WcA76+qf6+qbwDvo9sR3gA8O8nvJ/mJqvq3uTVbS9RU1z0tmd/qS9cT6L3Aa6vq68Db6b7DrAZ20HWtg/638/h2oPj5wJkDJxim0ve2ANB6Ab0I+JtWtFS3zd5MV/8l0a4kv0X3veyiVrQDeGw76P1rwF8n+R76357Z/n31vT0wqbcdQ942y/apirO3he7s52QB/mdV/e8HFXZHJf990vhv0F0f8o0kG+i+wE64pz3fNzA8MT65jeGhK2rKi4Gr+xH14+i+bK0FXg385FTTjoE9bcPpTN4Wg9tpcLtM3h5F9wE1eFBlYnsHuKKqTntIRea2rU6mC7AvAv7fJMcMdEvRQ20E/ojuGtTvHSgP8NNVdcvgxEl+bNL8/wP4WFW9uP1/f3yK95hyWcDNrVvpycCHk/yXFrQ0M99qZz7v17r4TLa3HcrePncDbKiqs6aY99tVtXvi7adaeFV9MclTgRcA/zPJR6pqqt4zGm3b6Q6CTDgCuGOR6jIrSfanC6wXVdX7ANrB3YnX3wlM3Hiu1+2sqjva884k76frIXdnkhVVtaP1sNrZJu91WwY8H7huYpss1W0zYLbbYzsP7nLbu3YlWQe8EDixdSulHRy9pw1fm+RLwA/Q8/bsw99Xr9vTemv9FN3BaWD422ahzrR+FDggyS9NFCT5UbqzY7+YB65JPDzJoVPM/xi6LmTfTHIYXbexffUR4FVtZdO6lX4BWJnk+9s0Lwc+0er16Kq6HHgt3dGRcTXdNvwXumsV90uynC74XT3LZb8kyXelu8718cAtdDd9WN3Kj+SB60c+Axw/sa2SfHeSH9jDtrqb7iYYtDM1/zLQXWFiO38XcGRVfYzu4MhjgANn2YZxcwHwO1V1w6TyDwO/MhGCWjdPGNgOzaOBr7bhV0zzHlMuK8njgS9X1Z/SheeHXH+pWbuK1nU33bXjX2tnhebiSuBnJj7T0103+7hp3vvU9r/8SLpu/p9M8n3AN6vqr+gOkDxljvXR0nQNsCrJUe3M2FoeOMvfW+1z63zg5qp680D5ioHJXgxM3JFzI91lFwckOYqu19ls96VDke768kdNDNP1grmRrs7r2mTr6C4TgB63ZZLJ92RYcttmklltj9aF+O4kT2t/rz8/MM+iS3IS8JvAi6rqmwPly/PA/REeT9eeLy+B9szq76vv7aHrufqFqrq/2++wt82CnGmtqkryYuCP092u/tt0oeS1wL8Cn27fS78B/Bxd17FBn2+PLXRdz/5+DtV5F13qvz7Jd4B3VtVbk/wCXXfFZXQ7yXcABwOXpbt2L8B/ncP7Lml72YYH0m2fAn6jqv4pyZ66+E52C1234sPo7k787SR/D9xG10XwRrru41TVriSvAC5Ou1kW3TWudzP1troEeGeSX6U7U7yO7rrZ76b7W/oFursH/lW67pAB3lJV/zqL+o+d9iH1J1O89D+AP6b7/wrd38gLgY/xQFff/0l3l8MNSX6N7oDIVKZb1kuBn2v/v//E1Neua3bOBv48yfV0XevX7Xnyvauqm5L8d7rr4L4L+A7dda//OGm665JcyANfAt9VVZ9Ld9v/P0xyX5v3l+daJy09rcfTq+kOYu0HXFBVWxa5WjNxPN2B0Rva5x5014uflmQ13f5yG/BKgKrakuRS4Ca6nkZnDvRGWGyHAe9v39OWAX9dVR9Kcg1waZLT6S41eAn0vi1Ad8AbeA5t/Td/sFS2TZKL6Xo6HZJkO939Oc5l9tvjl+nu6fIIumtGB68bXTDTtOcsujvqXtH+9j5TVa+iOznyO0nupcsLr2qX+kG/23PCPvx9LXp7pmpLVZ3PQ68HhyFvm7Sz7dKiaF9WP1BV/o6uJEmSpIdY7BsxSZIkSZI0Lc+0SpIkSZJ6yzOtkiRJkqTeMrRKkiRJknrL0CpJkiRJ6i1DqzRPkuxOsnngsXKOy3tR+3khkpyd5HVt+HeSPHseqixJ0kgZ2BffmORv2s/bzHWZs9rvJvl4kluSvGhgfM3A6yuT3NiGvzvJRUluaHX+VLrfnh9sy5Ykn0/ya+0nxAbf69okD0vyjVm26aIkdyX5mdnMJy2WBfmdVmlMfKuqVs/XwqpqI92PTk8u/+35eg9JkkbM/fviJBcBrwLePPFikv1m+zur+7jffVlVbZrBdK8B7qyqH271eyLdb1PDg9tyKPDXwKPpfveTdnD8q1X1H+23TGesql7WfnZQWhI80yoNSZIDk1yZ5Lp2BPWUVr4yyReSvKsdVb0oybOT/H2SW5Mc16Z7RZK3TrHcCyeOjCb57STXtOWcl9nutSRJGl2fBL4/yQlJPpbkr4EbkuyX5A/b/vP6JK+cmCHJb7R99ueTnNvKBve7Jyb5XJvmgiQHzLGOK4CvToxU1S1Vdc/kiapqJ3AG8OqBff3zgQ8NTpfkkCSfTnJyku9K8rZ2pvYDSS73zKqWKkOrNH8eMdA1+P3At4EXV9VTgGcBbxrY0Xw/8CfAjwA/CPxn4BnA64DXz+I931pVP1pVPwQ8AnjhPLVFkqQlK8kyulB3Qys6DvitqjoaOB34t6r6UeBHgV9KclSS5wOnAj9WVU8G/mDSMh8OXAi8tJ0ZXQb88hyregHwmy1o/m6SVdNNWFVfpvvufmgrOomB0JrkMOCDwG9X1QeBnwJWAj8M/Bfg6XOsq7RoDK3S/PlWVa1ujxcDAX4vyfXA3wGHA4e1aW+rqhuq6j5gC3BldT+afAPdDmamnpXks0luAH4SOGa+GiNJ0hL0iCSbgU3AV4DzW/nVVXVbG34u8PNtus8C3wusAp4N/HlVfROgqu6atOwn0u2/v9jGNwDPnEGdarqyqtoMPB74Q+Bg4JokT9rDsgKQ5GHAES3IAuwPXAn8RlVd0cqeAfxNVd1XVf8EfGwGdZV6yWtapeF5GbAceGpVfSfJNuDh7bXBrj/3DYzfxwz/L9sR37cBa6rq9iRnDyxfkqRx9JD7S7ROTv8+WAT8SlV9eNJ0JzF1wBycb1/8M3DQwPjBwNcmRqrqG8D7gPcluQ94AXDzQ948eTywG9hJd6D6UwMv3wtcCzwP+MQc6yv1jmdapeF5NLCzBdZnAY+b5+VPBNSvtTsNep2KJEl792Hgl5PsD5DkB5I8EvgI8IsTdxxOcvCk+b4ArEzy/W385TwQEPfk48DPDVwitI521jPJ8UkOasMPA44G/nHyApIsB95Bd1lQ0XUN/tuBSQr4ReAH0355gC7U/nS7tvUw4IQZ1FXqJc+0SsNzEfB/k2wCNtPt7OZNVf1rknfSdSneBlwzn8uXJGlEvYvuUpzrWpDcBZxaVR9KshrYlOQ/gMsZuM9EVX07yS8Af9Oumb2GLkjuzXl096/4fJKi67p8VnvtCcDbWz2+i+6a1Pe21ya6Ou9Pdyb1L3ngTsgnAA+6q3FV7U6ylu67x9db3U4EbgS+SNcV+t9mUF+pd9IdrJEkSZI0V0k+Drxuhj95sy/LPwJ4Z1U9fwbTHlhV30jyvcDVwPHt+lbaT958oKreM4x6SvPJ7sGSJEnS/LkLuDDJi4ax8KraPpPA2nygna39JPA/BgLrRcB/ovulA6n3PNMqSZIkSeotz7RKkiRJknrL0CpJkiRJ6i1DqyRJkiSptwytkiRJkqTeMrRKkiRJknrL0CpJkiRJ6i1DqyRJkiSptwytkiRJkqTeMrRKkiRJknrL0CpJkiRJ6i1DqyRJkiSptwytkiRJkqTeMrRKkiRJknrL0CpJkiRJ6i1DqyRJkiSptwytkiRJkqTeMrRKkiRJknrL0CpJkiRJ6i1DqyRJkiSptwytkiRJkqTeMrRKkiRJknrL0CpJkiRJ6i1DqyRJkiSptwytkiRJkqTeMrRKkiRJknrL0CpJkiRJ6i1DqyRJkiSptwytkiRJkqTeMrRKkiRJknrL0CpJkiRJ6i1DqyRJkiSptwytkiRJkqTeMrRKkiRJknrL0CpJkiRJ6i1DqyRJkiSptwytkiRJkqTeMrRKkiRJknrL0CpJkiRJ6i1DqyRJkiSptwytkiRJkqTeMrRKkiRJknrL0CpJkiRJ6i1DqyRJkiSptwytkiRJkqTeMrRKkiRJknpr2WJXAOCQQw6plStXLnY1JEmL7Nprr/1aVS1f7Hpo/riPlyTB3PbxvQitK1euZNOmTYtdDUnSIkvyj4tdB80v9/GSJJjbPt7uwZIkSZKk3jK0SpIkSZJ6y9AqSZIkSeotQ6skSZIkqbcMrZIkSZKk3urF3YPny8r1H1zsKtxv27knL3YVJEkaGe7jJWl8eaZVkiRJktRbhlZJkiRJUm8ZWiVJkiRJvWVolSRJkiT1lqFVkiRJktRbhlZJkiRJUm8ZWiVJkiRJvWVolSRJkiT1lqFVkiRJktRbhlZJkiRJUm8ZWiVJkiRJvWVolSRJkiT1lqFVkiRJktRbhlZJkiRJUm8ZWiVJkiRJvWVolSRpTCW5IMnOJDcOlJ2d5KtJNrfHCwZeOyvJ1iS3JHne4tRakjRuDK2SJI2vC4GTpih/S1Wtbo/LAZIcDawFjmnzvC3JfgtWU0nS2NpraPUorCRJo6mqrgLumuHkpwCXVNU9VXUbsBU4bmiVkySpmcmZ1gvxKKwkSePk1UmubweuD2plhwO3D0yzvZVJkjRUew2tHoWVJGmsvB14ArAa2AG8qZVnimlrqgUkOSPJpiSbdu3aNZRKSpLGx1yuafUorCRJI6aq7qyq3VV1H/BOHjj4vB04cmDSI4A7plnGeVW1pqrWLF++fLgVliSNvH0NrR6FlSRpBCVZMTD6YmDinhYbgbVJDkhyFLAKuHqh6ydJGj/L9mWmqrpzYjjJO4EPtNFZHYUFzgNYs2bNlMFWkiQNT5KLgROAQ5JsB94AnJBkNd1B523AKwGqakuSS4GbgHuBM6tq9yJUW5I0ZvYptCZZUVU72ujko7B/neTNwPfhUVhJknqrqk6bovj8PUx/DnDO8GokSdJD7TW0ehRWkiRJkrRY9hpaPQorSZIkSVosc7l7sCRJkiRJQ2VolSRJkiT1lqFVkiRJktRbhlZJkiRJUm8ZWiVJkiRJvWVolSRJkiT1lqFVkiRJktRbhlZJkiRJUm8ZWiVJkiRJvWVolSRJkiT1lqFVkiRJktRbhlZJkiRJUm8ZWiVJkiRJvWVolSRJkiT1lqFVkiRJktRbhlZJkiRJUm8ZWiVJkiRJvWVolSRJkiT1lqFVkiRJktRbhlZJkiRJUm8ZWiVJkiRJvWVolSRJkiT1lqFVkiRJktRbhlZJkiRJUm8ZWiVJkiRJvWVolSRJkiT1lqFVkiRJktRbhlZJkiRJUm8ZWiVJkiRJvWVolSRJkiT1lqFVkiRJktRbhlZJkiRJUm8ZWiVJGlNJLkiyM8mNA2UHJ7kiya3t+aCB185KsjXJLUmetzi1liSNm72GVndokiSNrAuBkyaVrQeurKpVwJVtnCRHA2uBY9o8b0uy38JVVZI0rmZypvVC3KFJkjRyquoq4K5JxacAG9rwBuDUgfJLquqeqroN2AoctxD1lCSNt72GVndokiSNlcOqagdAez60lR8O3D4w3fZWJknSUO3rNa3u0CRJGi+ZoqymnDA5I8mmJJt27do15GpJkkbdfN+IyR2aJElL251JVgC0552tfDtw5MB0RwB3TLWAqjqvqtZU1Zrly5cPtbKSpNG3r6HVHZokSaNpI7CuDa8DLhsoX5vkgCRHAauAqxehfpKkMbOvodUdmiRJS1ySi4FPA09Msj3J6cC5wHOS3Ao8p41TVVuAS4GbgA8BZ1bV7sWpuSRpnCzb2wRth3YCcEiS7cAb6HZgl7ad21eAl0C3Q0sysUO7F3dokiT1VlWdNs1LJ04z/TnAOcOrkSRJD7XX0OoOTZIkSZK0WOb7RkySJEmSJM0bQ6skSZIkqbcMrZIkSZKk3jK0SpIkSZJ6y9AqSZIkSeqtvd49WPtm5foPLnYVHmTbuScvdhUkSZIkadY80ypJkiRJ6i1DqyRJkiSptwytkiRJkqTeMrRKkiRJknrL0CpJkiRJ6i1DqyRJkiSptwytkiRJkqTeMrRKkiRJknrL0CpJkiRJ6i1DqyRJkiSptwytkiRJkqTeMrRKkiRJknrL0CpJkiRJ6i1DqyRJkiSptwytkiRJkqTeMrRKkiRJknpr2WJXQJIkaSlZuf6Di12F+2079+TFroIkDZ1nWiVJkiRJvWVolSRJkiT1lt2DteDsViVJkiRppjzTKkmSJEnqLUOrJEmSJKm3DK2SJEmSpN4ytEqSJEmSesvQKkmSJEnqLUOrJEmSJKm3DK2SJEmSpN6a0++0JtkG3A3sBu6tqjVJDgbeDawEtgE/W1X/MrdqSpKkheQ+XpLUF/NxpvVZVbW6qta08fXAlVW1CriyjUuSpKXHfbwkadENo3vwKcCGNrwBOHUI7yFJkhae+3hJ0oKba2gt4CNJrk1yRis7rKp2ALTnQ+f4HpIkaeG5j5ck9cKcrmkFjq+qO5IcClyR5AsznbHtAM8AeOxjHzvHakiSpHnmPl6S1AtzOtNaVXe0553A+4HjgDuTrABozzunmfe8qlpTVWuWL18+l2pIkqR55j5ektQX+xxakzwyyaMmhoHnAjcCG4F1bbJ1wGVzraQkSVo47uMlSX0yl+7BhwHvTzKxnL+uqg8luQa4NMnpwFeAl8y9mpIkaQG5j18iVq7/4GJX4X7bzj15sasgaUTtc2itqi8DT56i/J+BE+dSKUmStHjcx0uS+mQYP3kjSZIkSdK8MLRKkiRJknrL0CpJkiRJ6i1DqyRJkiSptwytkiRJkqTeMrRKkiRJknrL0CpJkiRJ6i1DqyRJkiSptwytkiRJkqTeMrRKkiRJknrL0CpJkiRJ6q1li10BSZIkLX0r139wsavwINvOPXmxqyBpnnimVZIkSZLUW4ZWSZIkSVJvGVolSZIkSb1laJUkSZIk9ZahVZIkSZLUW949eEz07Y5+kiRJkjQTnmmVJEmSJPWWoVWSJEmS1Ft2D5YkSZKGqE+XaW079+TFroI0a55plSRJkiT1lqFVkiRJktRbdg+WNCW7MkmSJKkPPNMqSZIkSeotz7RKkiRp5PSpx5CkufFMqyRJkiSptzzTKkmSJGns9ensvPfzeDBDq8aaH06SJElSvxlaJUmSpDHRpwP24EF7zYyhVZIkSdKi6FuI7os+rZc+HFjwRkySJEmSpN4ytEqSJEmSemto3YOTnAT8CbAf8K6qOndY7yVptNlFRuoP9++SpIU2lDOtSfYD/gx4PnA0cFqSo4fxXpIkaWG4f5ckLYZhnWk9DthaVV8GSHIJcApw05DeT1ry+nQ2UZKm4f5dkrTghnVN6+HA7QPj21uZJElauty/S5IW3LDOtGaKsnrQBMkZwBlt9BtJbpmH9z0E+No8LGfcuR7nh+txfvRqPeb3F7sG+6xX63EPHrfYFdAe7XX/Du7jZ2jU2gO2aSkYtfaAbRq6efjuM9Gefd7HDyu0bgeOHBg/ArhjcIKqOg84bz7fNMmmqlozn8scR67H+eF6nB+ux/nhetQ82ev+HdzHz8SotQds01Iwau0B27QUzEd7htU9+BpgVZKjkjwMWAtsHNJ7SZKkheH+XZK04IZyprWq7k3yauDDdLfEv6CqtgzjvSRJ0sJw/y5JWgxD+53WqrocuHxYy5/GvHZFGmOux/nhepwfrsf54XrUvFik/TuM3t/wqLUHbNNSMGrtAdu0FMy5Pal6yP0TJEmSJEnqhWFd0ypJkiRJ0pyNRGhNclKSW5JsTbJ+sevTR0m2JbkhyeYkm1rZwUmuSHJrez5oYPqz2vq8JcnzBsqf2pazNcmfJpnq5w9GRpILkuxMcuNA2byttyQHJHl3K/9skpUL2sAFMs16PDvJV9vf5OYkLxh4zfU4hSRHJvlYkpuTbEnymlbu36RG1lLdx8/X/qMv5vPzpy+SPDzJ1Uk+39r0xla+ZNsEkGS/JJ9L8oE2vtTbMy/fYfskyWOSvCfJF9r/1NOXcpuSPHHg+9zmJF9P8tp5bVNVLekH3Y0gvgQ8HngY8Hng6MWuV98ewDbgkEllfwCsb8Prgd9vw0e39XgAcFRbv/u1164Gnk73W31/Czx/sds25PX2TOApwI3DWG/A/x94RxteC7x7sdu8gOvxbOB1U0zrepx+Pa4AntKGHwV8sa0v/yZ9jORjKe/j52v/0ZfHfH7+9OXRPv8ObMP7A58FnraU29Tq+WvAXwMfWOp/d62e25iH77B9egAbgP/Shh8GPGapt2mgbfsB/0T3m6zz1qZRONN6HLC1qr5cVf8BXAKcssh1WipOofunoT2fOlB+SVXdU1W3AVuB45KsAL6nqj5d3V/cXwzMM5Kq6irgrknF87neBpf1HuDEiTNeo2Sa9Tgd1+M0qmpHVV3Xhu8GbgYOx79Jja4lu4+fj/3HQtRzpubr82dBK70X1flGG92/PYol3KYkRwAnA+8aKF6y7dmDJdumJN9Dd1DrfICq+o+q+leWcJsmORH4UlX9I/PYplEIrYcDtw+Mb29lerACPpLk2iRntLLDqmoHdDsj4NBWPt06PbwNTy4fN/O53u6fp6ruBf4N+N6h1bx/Xp3k+taNbqLLiOtxBlq33WPpzgz4N6lRNWr7+Nn+r/bSHD9/eqV1pd0M7ASuqKql3qY/Bn4DuG+gbCm3B+bnO2yfPB7YBfx568b9riSPZGm3adBa4OI2PG9tGoXQOtUZAG+J/FDHV9VTgOcDZyZ55h6mnW6duq73bF/W2ziv07cDTwBWAzuAN7Vy1+NeJDkQeC/w2qr6+p4mnaLMdamlZFz+HpdMO+fh86dXqmp3Va0GjqDrifJDe5i8121K8kJgZ1VdO9NZpijrTXsGzMd32D5ZRnfpwNur6ljg3+m6zk5nKbQJgCQPA14E/M3eJp2ibI9tGoXQuh04cmD8COCORapLb1XVHe15J/B+ulPwd7ZugrTnnW3y6dbp9jY8uXzczOd6u3+eJMuARzPzbrRLWlXd2b4s3Ae8kwe6hbge9yDJ/nRfGC+qqve1Yv8mNapGbR8/2//VXpmnz59eat0zPw6cxNJt0/HAi5Jso+tK/5NJ/oql2x5g3r7D9sl2YHs7qw/dpThPYWm3acLzgeuq6s42Pm9tGoXQeg2wKslRLd2vBTYucp16JckjkzxqYhh4LnAj3Xpa1yZbB1zWhjcCa9PdRfQoYBVwdTutf3eSp7Vr3H5+YJ5xMp/rbXBZPwN8tF1jOPImPsSaF9P9TYLrcVqt3ecDN1fVmwde8m9So2rU9vGz+l9dhPpNa74+fxaqvjORZHmSx7ThRwDPBr7AEm1TVZ1VVUdU1Uq6/5WPVtXPsUTbA/P3HXZha71nVfVPwO1JntiKTgRuYgm3acBpPNA1GOazTXu6S9NSeQAvoLuL3ZeA31rs+vTtQdd3/vPtsWViHdFdp3YlcGt7Pnhgnt9q6/MWBu4QDKyh+7D4EvBWIIvdviGvu4vpuq5+h+6o0Onzud6Ah9N1odja/lkfv9htXsD1+JfADcD17cNrhetxr+vxGXTdZ64HNrfHC/yb9DHKj6W6j5+v/UdfHvP5+dOXB/AjwOdam24EfruVL9k2DdTzBB64e/CSbQ/z+B22Tw+6S6M2tb+9/wMcNAJt+m7gn4FHD5TNW5smvqRIkiRJktQ7o9A9WJIkSZI0ogytkiRJkqTeMrRKkiRJknrL0CpJkiRJ6i1DqyRJkiSptwytGhlJdifZnGRLks8n+bUk8/o3nuRVSX5+ivKVSW6cap49LOvCJD8zRfnHk9yS5EUD42tmuewVST4ym3nafCck+fck75pU/rgk1w6s31cNvHZRkrumaoskSXuTpJL85cD4siS7knxglsvZluSQvUwz5b53hsuf8b4+nU8lef5A2c8m+dC+vPe+avv1f0ty+UDZqiQfSPKltm//WJJnttde0db95iQ3JfmlvSzf7wBaEIZWjZJvVdXqqjoGeA7d78e9YT7foKreUVV/MZ/LnMbLqmrjHOY/CfjwbGZI8kPA24AfAx6VZHDd7QB+vKpWt9fXJ/k+gKp6Gd3vrEqStC/+HfihJI9o488BvrqI9Zmz6n5T8lXAm5M8PMkjgXOAMxehOp+sqhcAJHk48EHgvKp6QlU9FfgVut9DnfDutr8/Afi9JIdNt2C/A2ihGFo1kqpqJ3AG8Op2tHO/JH+Y5Jok1yd5Jdx/BPLjSd6T5AvtiGHaa+e2o4zXJ/mjVnZ2kte14ae2M7qfZmAn1I7EfjLJde3x4608Sd7alvlB4NDZtCnJdyXZkOR32/jpSb7Y6v/OJG8dmPwk4G9b+z6R5NI27blJXpbk6iQ3JHlCW9bhwPnAqVV1I/CfgScm+cW2Pv+jqu5pyz4APzskSfPrb4GT2/BpwMUTLyQ5OMn/afvjzyT5kVb+vUk+kuRzSf43MLH/ftAZ0SSvS3L25DdMcmKb94YkFyQ5YIppptvXT/m9YlDbn/5f4DfpDqL/BfAv07Tl/u8XbfzG1o6VSW5u+/ktrb2PaNP8aFvOp1tdZnIW+GXApwcPjFfVjVV14RT13wl8CXhckrcn2dTq8MYZvI80r/ziqZFVVV+m+xs/FDgd+Leq+lHgR4FfSnJUm/RY4LXA0XRHGo9PcjDwYuCYqvoR4HeneIs/B361qp4+qXwn8JyqegrwUuBPW/mLgScCPwz8EvDjs2jOMuAi4ItV9d/bWc7/F3ga3RHpH5yYMMl+wBOr6qZW9GTgNe19Xw78QFUdB7yL7ugqVfXVqvqxqvpiG99dVf+5qi4YWO6RSa4Hbgd+v6rumEX9JUnak0uAte1M4I8Anx147Y3A59r++PV04Q+6IPipqjqW7mzfY2f6Zu19LgReWlU/TLef/eUpJp1uX7+n7xWD3kh3IPj5wB/soS17sgr4s9aT7F+Bnx6o26ta3XbPYDkAxwDXzWTCJI+n+160FfitqlpDt23+00TYlhaKoVWjLu35ucDPJ9lMtyP8XrqdAMDVVbW9qu4DNgMrga8D3wbeleSngG8+aKHJo4HHVNUnWtFfDry8P/DOJDcAf0MXhgGeCVzcAuEdwEdn0Y7/DdxYVee08eOAT1TVXVX1nfY+E36MB+/sr6mqHe1M6ZeAiWtdb2htnZGqur3tZL8fWLen7kKSJM1GVV1Pt086Dbh80svPoO1nq+qjwPe2/fAzgb9q5R8E/mUWb/lE4LaJg7XAhra8++1lX7+n7xWD7fp34N3AX7b98HRt2ZPbqmpzG74WWJnkMcCjquofWvlf72UZU0ry/nZW930DxS9t7boYeGVV3QX8bJLrgM/RBd+jH7o0aXgMrRpZ7QjhbroznwF+pV3zurqqjqqqifB2z8Bsu4FlVXUvXTB8L3AqMPnGCQFqmrf+r8CddGc41wAPG3htunn25h+AZ7UjwxPvP53n8+D6DrbvvoHx++iOLM9KC9xbgJ+Y7bySJO3BRuCPGOga3Ey1z6tJz4Pu5cHfcR8+xTR72o8OTjPdfntP3ysmu689pnvf2kudH/I9ZZrlzMQW4Cn3v3HVi4FXAAcPTPPu1qYfq6r3tzPIrwNObAevP8jU61QaGkOrRlKS5cA7gLe2myF8GPjlJPu3138g3U0Rppv/QODRVXU5Xdfh1YOvV9W/Av+W5Bmt6GUDLz8a2NHO3L4c2K+VX0XX9Wm/JCuAZ82iSefTHXn+myTLgKvpuucc1MZ/emDaE4ErZ7HsvUpyxMA1NAcBxwO3zOd7SJLG3gXA71TVDZPKr6LtZ5OcAHytqr4+qfz5wEFt+juBQ9s1rwcAL5zivb5Ad8by+9v4y4FPDE6wl339rL5XzKAt22hhMslTgKm6Gg/W7V+Au5M8rRWtncF7Q3dG9vi0Xyhovnsv83wP3c2y/q31snr+XqaX5t2sz7JIPfaI1p1lf7ojln8JvLm99i66bkfXJQmwi+4M6nQeBVzWzmyG7uzpZL8AXJDkmzz4Tr1vA96b5CXAx+g+6AHeD/wkXbfcLzJp57g3VfXm1oXoL+l2eL9H1yXpDuAmup3JcuDbbQc4n54EvClJ0a2PP5riS4UkSfusqrYDfzLFS2cDf97uq/BNYF0rfyNwceu2+gngK20530nyO3T7yNvoAurk9/p2kl/ggYPB19Ad7J5sun39bL9X7K0t7+WB7sbX0H1P2JvT6S5H+nfg48C/7W2GqvpWkhfS3dX4j+kC/t1Mfe+OiXk+n+RzdGdpvwz8/QzqJs2rdCehJPVFko8Dr6uqTXuZ7sCq+kbb2b6f7gj1I4Ejqurc4df0QXW5EPhAVb1nId9XkqRxNfE9oA2vB1ZU1WsmTXMC3XeKqc42z1c9LsTvABoyuwdL/XMXcOGkrjtTObsdkb2R7kjy/6mqv1qEwHoR8J/oblwlSZIWxslJNrefuvkJpj5b+h90v4E7+eZW88LvAFoonmmVJEmSJPWWZ1olSZIkSb1laJUkSZIk9ZahVZIkSZLUW4ZWSZIkSVJvGVolSZIkSb1laJUkSZIk9ZahVZIkSZLUW4ZWSZIkSVJvGVolSZIkSb1laJUkSZIk9ZahVZIkSZLUW4ZWSZIkSVJvGVolSZIkSb1laJUkSZIk9ZahVZIkSZLUW4ZWSZIkSVJvGVolSZIkSb1laJUkSZIk9ZahVZIkSZLUW4ZWSZIkSVJvGVolSZIkSb1laJUkSZIk9ZahVZIkSZLUW4ZWSZIkSVJvGVolSZIkSb1laJUkSZIk9ZahVZIkSZLUW4ZWSZIkSVJvGVolSZIkSb1laJUkSZIk9ZahVZIkSZLUW4ZWSZIkSVJvGVolSZIkSb1laJUkSZIk9ZahVZIkSZLUW4ZWSZIkSVJvGVolSZIkSb1laJUkSZIk9ZahVZIkSZLUW4ZWSZIkSVJvGVolSZIkSb1laJUkSZIk9ZahVZIkSZLUW4ZWSZIkSVJvGVolSZIkSb1laJUkSZIk9dayxa4AwCGHHFIrV65c7GpIkhbZtdde+7WqWr7Y9dD8cR8vSYK57eN7EVpXrlzJpk2bFrsakqRFluQfF7sOml/u4yVJMLd9vN2DJUmSJEm9ZWiVJEmSJPWWoVWSJEmS1FuGVkmSJElSbxlaJUmSJEm91Yu7B8+Xles/uNhVuN+2c09e7CpIkjQy3MdL0vjyTKskSZIkqbcMrZIkSZKk3jK0SpIkSZJ6y9AqSZIkSeotQ6skSZIkqbcMrZIkSZKk3tpraE1yZJKPJbk5yZYkr2nlBye5Ismt7fmggXnOSrI1yS1JnjfMBkiSJEmSRtdMzrTeC/x6VT0JeBpwZpKjgfXAlVW1CriyjdNeWwscA5wEvC3JfsOovCRJkiRptO01tFbVjqq6rg3fDdwMHA6cAmxok20ATm3DpwCXVNU9VXUbsBU4bp7rLUmSJEkaA7O6pjXJSuBY4LPAYVW1A7pgCxzaJjscuH1gtu2tTJIkSZKkWZlxaE1yIPBe4LVV9fU9TTpFWU2xvDOSbEqyadeuXTOthiRJkiRpjMwotCbZny6wXlRV72vFdyZZ0V5fAexs5duBIwdmPwK4Y/Iyq+q8qlpTVWuWL1++r/WXJEn7aA83Wzw7yVeTbG6PFwzM480WJUkLaiZ3Dw5wPnBzVb154KWNwLo2vA64bKB8bZIDkhwFrAKunr8qS5KkeTLdzRYB3lJVq9vjcvBmi5KkxbFsBtMcD7wcuCHJ5lb2euBc4NIkpwNfAV4CUFVbklwK3ES3MzyzqnbPd8UlSdLctHtSTNyf4u4kEzdbnM79N1sEbksycbPFTw+9spKksbXX0FpVn2Lq61QBTpxmnnOAc+ZQL0mStIAm3WzxeODVSX4e2ER3NvZf6ALtZwZm82aLkqShm9XdgyVJ0uiZ4maLbweeAKymOxP7polJp5jdmy1KkobK0CpJ0hib6maLVXVnVe2uqvuAd/LA7617s0VJ0oIztEqSNKamu9nixK8DNC8GbmzD3mxRkrTgZnIjJkmSNJqmu9niaUlW03X93Qa8ErzZoiRpcRhaJUkaU3u42eLle5jHmy1KkhaU3YMlSZIkSb1laJUkSZIk9ZahVZIkSZLUW4ZWSZIkSVJvGVolSZIkSb1laJUkSZIk9ZahVZIkSZLUW4ZWSZIkSVJvGVolSZIkSb1laJUkSZIk9ZahVZIkSZLUW4ZWSZIkSVJvGVolSZIkSb1laJUkSZIk9ZahVZIkSZLUW4ZWSZIkSVJvGVolSZIkSb1laJUkaUwlOTLJx5LcnGRLkte08oOTXJHk1vZ80MA8ZyXZmuSWJM9bvNpLksaFoVWSpPF1L/DrVfUk4GnAmUmOBtYDV1bVKuDKNk57bS1wDHAS8LYk+y1KzSVJY8PQKknSmKqqHVV1XRu+G7gZOBw4BdjQJtsAnNqGTwEuqap7quo2YCtw3IJWWpI0dvYaWpNckGRnkhsHys5O8tUkm9vjBQOv2W1IkqQlJslK4Fjgs8BhVbUDumALHNomOxy4fWC27a1MkqShmcmZ1gvpugBN9paqWt0el4PdhiRJWoqSHAi8F3htVX19T5NOUVZTLO+MJJuSbNq1a9d8VVOSNKb2Glqr6irgrhkuz25DkiQtIUn2pwusF1XV+1rxnUlWtNdXADtb+XbgyIHZjwDumLzMqjqvqtZU1Zrly5cPr/KSpLEwl2taX53k+tZ9eOKugnYbkiRpiUgS4Hzg5qp688BLG4F1bXgdcNlA+dokByQ5ClgFXL1Q9ZUkjad9Da1vB54ArAZ2AG9q5TPqNgR2HZIkqQeOB14O/OSk+1ScCzwnya3Ac9o4VbUFuBS4CfgQcGZV7V6cqkuSxsWyfZmpqu6cGE7yTuADbXRG3YbaMs4DzgNYs2bNlMFWkiQNT1V9iqkPOAOcOM085wDnDK1SkiRNsk9nWieuc2leDEzcWdhuQ5IkSZKkebPXM61JLgZOAA5Jsh14A3BCktV0XX+3Aa+ErttQkoluQ/dityFJkiRJ0hzsNbRW1WlTFJ+/h+ntNiRJkiRJmhdzuXuwJEmSJElDZWiVJEmSJPWWoVWSJEmS1FuGVkmSJElSbxlaJUmSJEm9ZWiVJEmSJPWWoVWSJEmS1FuGVkmSJElSbxlaJUmSJEm9ZWiVJEmSJPWWoVWSJEmS1FuGVkmSJElSbxlaJUmSJEm9ZWiVJEmSJPWWoVWSJEmS1FuGVkmSxlSSC5LsTHLjQNnZSb6aZHN7vGDgtbOSbE1yS5LnLU6tJUnjxtAqSdL4uhA4aYryt1TV6va4HCDJ0cBa4Jg2z9uS7LdgNZUkjS1DqyRJY6qqrgLumuHkpwCXVNU9VXUbsBU4bmiVkySpMbRKkqTJXp3k+tZ9+KBWdjhw+8A021uZJElDZWiVJEmD3g48AVgN7ADe1MozxbQ11QKSnJFkU5JNu3btGkolJUnjw9AqSZLuV1V3VtXuqroPeCcPdAHeDhw5MOkRwB3TLOO8qlpTVWuWL18+3ApLkkaeoVWSJN0vyYqB0RcDE3cW3gisTXJAkqOAVcDVC10/SdL4WbbYFZAkSYsjycXACcAhSbYDbwBOSLKaruvvNuCVAFW1JcmlwE3AvcCZVbV7EaotSRozhlZJksZUVZ02RfH5e5j+HOCc4dVIkqSHsnuwJEmSJKm3DK2SJEmSpN7aa2htv9G2M8mNA2UHJ7kiya3t+aCB185KsjXJLUmeN6yKS5IkSZJG30zOtF4InDSpbD1wZVWtAq5s4yQ5GlgLHNPmeVuS/eattpIkSZKksbLX0FpVVwF3TSo+BdjQhjcApw6UX1JV91TVbcBWHvh9N0mSJEmSZmVfr2k9rKp2ALTnQ1v54cDtA9Ntb2WSJEmSJM3afN+IKVOU1ZQTJmck2ZRk065du+a5GpIkSZKkUbCvofXOJCsA2vPOVr4dOHJguiOAO6ZaQFWdV1VrqmrN8uXL97EakiRJkqRRtq+hdSOwrg2vAy4bKF+b5IAkRwGrgKvnVkVJkiRJ0rhatrcJklwMnAAckmQ78AbgXODSJKcDXwFeAlBVW5JcCtwE3AucWVW7h1R3SZIkSdKI22torarTpnnpxGmmPwc4Zy6VkiRJkiQJ5v9GTJIkSZIkzRtDqyRJkiSptwytkiRJkqTeMrRKkiRJknrL0CpJkiRJ6i1DqyRJkiSptwytkiSNqSQXJNmZ5MaBsoOTXJHk1vZ80MBrZyXZmuSWJM9bnFpLksaNoVWSpPF1IXDSpLL1wJVVtQq4so2T5GhgLXBMm+dtSfZbuKpKksaVoVWSpDFVVVcBd00qPgXY0IY3AKcOlF9SVfdU1W3AVuC4hainJGm8GVolSdKgw6pqB0B7PrSVHw7cPjDd9lYmSdJQGVolSdJMZIqymnLC5Iwkm5Js2rVr15CrJUkadYZWSZI06M4kKwDa885Wvh04cmC6I4A7plpAVZ1XVWuqas3y5cuHWllJ0ugztEqSpEEbgXVteB1w2UD52iQHJDkKWAVcvQj1kySNmWWLXQFJkrQ4klwMnAAckmQ78AbgXODSJKcDXwFeAlBVW5JcCtwE3AucWVW7F6XikqSxYmiVJGlMVdVp07x04jTTnwOcM7waSZL0UHYPliRJkiT1lqFVkiRJktRbhlZJkiRJUm8ZWiVJkiRJvWVolSRJkiT1lqFVkiRJktRbhlZJkiRJUm8ZWiVJkiRJvWVolSRJkiT1lqFVkiRJktRby+Yyc5JtwN3AbuDeqlqT5GDg3cBKYBvws1X1L3OrpiRJkiRpHM3HmdZnVdXqqlrTxtcDV1bVKuDKNi5JkiRJ0qwNo3vwKcCGNrwBOHUI7yFJkiRJGgNzDa0FfCTJtUnOaGWHVdUOgPZ86BzfQ5IkSZI0puZ0TStwfFXdkeRQ4IokX5jpjC3kngHw2Mc+do7VkCRJWhgr139wsatwv23nnrzYVZCkoZvTmdaquqM97wTeDxwH3JlkBUB73jnNvOdV1ZqqWrN8+fK5VEOSJEmSNKL2ObQmeWSSR00MA88FbgQ2AuvaZOuAy+ZaSUmSJEnSeJpL9+DDgPcnmVjOX1fVh5JcA1ya5HTgK8BL5l5NSZIkSdI42ufQWlVfBp48Rfk/AyfOpVKSJGlx+VvskqS+mOuNmDSNPt2kAbxRgyRpnzyrqr42MD7xW+znJlnfxn9zcaomSRoXw/idVkmSNJr8LXZJ0oIztEqSpKn4W+ySpF6we7AkSZqKv8UuSeoFz7RKkqSH8LfYJUl9YWiVJEkP4m+xS5L6xO7BkiRpMn+LXZLUG4ZWSZL0IP4WuySpT+weLEmSJEnqLUOrJEmSJKm3DK2SJEmSpN4ytEqSJEmSesvQKkmSJEnqLUOrJEmSJKm3DK2SJEmSpN4ytEqSJEmSesvQKkmSJEnqLUOrJEmSJKm3DK2SJEmSpN4ytEqSJEmSemvZYldAC2Pl+g8udhXut+3ckxe7CpIkSZKWCM+0SpIkSZJ6y9AqSZIkSeotQ6skSZIkqbe8plWSJGmJ8p4VksbB0M60JjkpyS1JtiZZP6z3kSRJC8f9uyRpoQ3lTGuS/YA/A54DbAeuSbKxqm4axvtJkqThc/+uPenTWV/o15nfPq2bPq2XvnE79dewugcfB2ytqi8DJLkEOAVwpyY/ECRp6XL/riWjT983+sT1oqVoWKH1cOD2gfHtwI8N6b2kfdanD24DtKQlwP27JC0Av6M+2LBCa6YoqwdNkJwBnNFGv5Hklnl430OAr83DcpYS2zwi8vvTvjSS7d0L2zwepmrz4xajIpqxve7fwX18T7i+Zs91Nnuus9lZkutrD99RZ2uf9/HDCq3bgSMHxo8A7hicoKrOA86bzzdNsqmq1sznMvvONo++cWsv2OZxMY5tHgF73b+D+/g+cH3Nnuts9lxns+P62nfDunvwNcCqJEcleRiwFtg4pPeSJEkLw/27JGnBDeVMa1Xdm+TVwIeB/YALqmrLMN5LkiQtDPfvkqTFMKzuwVTV5cDlw1r+NOa1K9ISYZtH37i1F2zzuBjHNi95i7R/B/9eZsv1NXuus9lznc2O62sfpeoh90+QJEmSJKkXhnVNqyRJkiRJczYSoTXJSUluSbI1yfrFrs98SrItyQ1JNifZ1MoOTnJFklvb80ED05/V1sMtSZ63eDWfuSQXJNmZ5MaBslm3MclT27ramuRPk0z10wy9ME2bz07y1batNyd5wcBrS7rNSY5M8rEkNyfZkuQ1rXxkt/Me2jzK2/nhSa5O8vnW5je28pHdzhq+Ud7Hz9Y47i/nYhz3PXPl5/i+SbJfks8l+UAbd33Nt6pa0g+6G0F8CXg88DDg88DRi12veWzfNuCQSWV/AKxvw+uB32/DR7f2HwAc1dbLfovdhhm08ZnAU4Ab59JG4Grg6XS/I/i3wPMXu22zbPPZwOummHbJtxlYATylDT8K+GJr18hu5z20eZS3c4AD2/D+wGeBp43ydvYx9L+pkd7H78P6GLv95RzX19jte+Zhnfk5vm/r7deAvwY+0MZdX/P8GIUzrccBW6vqy1X1H8AlwCmLXKdhOwXY0IY3AKcOlF9SVfdU1W3AVrr102tVdRVw16TiWbUxyQrge6rq09X95//FwDy9M02bp7Pk21xVO6rqujZ8N3AzcDgjvJ330ObpjEKbq6q+0Ub3b49ihLezhm4c9/HTGsf95VyM475nrvwcn70kRwAnA+8aKHZ9zbNRCK2HA7cPjG9nz18Ml5oCPpLk2iRntLLDqmoHdB/IwKGtfJTWxWzbeHgbnly+1Lw6yfWtC9hEV5KRanOSlcCxdEdvx2I7T2ozjPB2bl2kNgM7gSuqamy2s4ZilPZrw+L/1wyM475nX/k5Pmt/DPwGcN9Ametrno1CaJ2qv/co3RL5+Kp6CvB84Mwkz9zDtKO+LmD6No5C298OPAFYDewA3tTKR6bNSQ4E3gu8tqq+vqdJpygblTaP9Hauqt1VtRo4gu7o8Q/tYfKRaLOGyr+Ffef/VzOO+5658HN85pK8ENhZVdfOdJYpysZmfc3FKITW7cCRA+NHAHcsUl3mXVXd0Z53Au+n6yp1Z+tGQHve2SYfpXUx2zZub8OTy5eMqrqz7SjuA97JA127R6LNSfan+9JwUVW9rxWP9Haeqs2jvp0nVNW/Ah8HTmLEt7OGapT2a8Pi/9cejOO+Z774OT4jxwMvSrKN7vKFn0zyV7i+5t0ohNZrgFVJjkryMGAtsHGR6zQvkjwyyaMmhoHnAjfStW9dm2wdcFkb3gisTXJAkqOAVXQXdS9Fs2pj63pxd5Kntbut/fzAPEvCxIdb82K6bQ0j0OZWv/OBm6vqzQMvjex2nq7NI76dlyd5TBt+BPBs4AuM8HbW0I3sPn4e+f81jXHc98yVn+OzU1VnVdURVbWS7vPpo1X1c7i+5l/14G5Qc30AL6C7I9yXgN9a7PrMY7seT3eHsc8DWybaBnwvcCVwa3s+eGCe32rr4RaWyF3HgIvpukl+h+5I0+n70kZgDV0A+BLwViCL3bZZtvkvgRuA6+k+1FaMSpuBZ9B1c7ke2NweLxjl7byHNo/ydv4R4HOtbTcCv93KR3Y7+1iQv6uR3Mfv47oYu/3lHNfX2O175mGd+Tm+7+vuBB64e7Dra54faStJkiRJkqTeGYXuwZIkSZKkEWVolSRJkiT1lqFVkiRJktRbhlZJkiRJUm8ZWiVJkiRJvWVolSRJkiT1lqFViy7J7iSbBx7r9zDt8iSfTfK5JD+xkPXckyRnJ3ndLKZ/RZJdA23+i1Z+YZKfGV5NH1SHF+1pXU8x/USd39XGT0hSSU4fmObYVva6Nn5hkttaG69L8vQ9LP8Rbbr/SHLIXNomSdJiSHJ6ktcvdj2kUbNssSsgAd+qqtUznPZE4AtVtW6ub5pkWVXdO9flzMG7q+rVi/XmVbUR2DjL2SbX+QbgpcD5bXwt8PlJ8/y3qnpPkucC/5vuh8unqs+3gNVJts2yTpIk9UUB/3OxKyGNGs+0qreSnJvkpiTXJ/mjJKuBPwBe0M7IPSLJNwam/5kkF7bh5Unem+Sa9ji+lZ+d5LwkHwH+Ism7Bs527kryhnT+MMmNSW5I8tJp6vdbSW5J8nfAEwfKn5DkQ0muTfLJJD+4j+3fNnHGMcmaJB9vw49MckFr1+eSnNLKX5Hkfe29b03yBwPLOqmd6fx8kisHpn9rG/5/Bs5g/12Sw2ZYza8AD09yWJIAJwF/O820VwHfn+TAJFe2+twwUX9JkpZi76skK5PcCFBVF1RVDfbAGuxFleS1Sb57YN7LkzxmnutjzyiNHM+0qg8ekWTzwPj/BK4AXgz8YPvwf0xV/WuS3wbWTJzt63LSlP4EeEtVfSrJY4EPA09qrz0VeEY7s0dbzuPaNBcCPwWsBp4MHAJck+SqqtoxMP1T6c4qHkv3f3QdcG17+TzgVVV1a5IfA94G/OQUdXxpkmdM1Leq/nwP62jQbwEfrapfbDu6q1twptX7WOAe4JYk/wv4NvBO4JlVdVuSg6dY5qeAp7V1/V+A3wB+fYb1eQ/wEuBzdOvhnmmm+3/ozsx+G3hxVX297ew+k2RjVdUM30+SNLpGvffVa4G/Ar4JUFUvGNL72DNKI8XQqj54yA4qyTK6cPOuJB8EPjDLZT4bOHog1H5Pkke14Y2TAuvDgb8BXl1V/5jktcDFVbUbuDPJJ4Af5cFdaX8CeH9VfbMtY2N7PhD4ceBvBt77gGnquK/dg58LvCgPXEP7cOCxbfjKqvq3VpebgMcBBwFXVdVtAFV11xTLPAJ4d5IVwMOA22ZRn0uBdwM/CFxM1/5Bf5jkvwO7gNOBAL+X5JnAfcDhwGHAP83iPSVJYyTJucCLgHuBj9AFvz/ggQPfTwd2VdWBbfqfAV5YVa9Ishx4Bw/sK19bVX+f5Gzg+4CVwNeSfBNY06Y5HHgr8DvtfZ5P1/X3d6vq3fvYhl9t7/exJF+rqme14LcGOBD4EO0gMl2g/HPgjcChwMuq6up24PkC4PF0wfeMqrp+Bm//FbrvQocBO+l6Rl0+zbT394wCLqP7HrE/8N+r6rLZt1yaO0Oreqmq7k1yHN1R1LXAq5n6bOXg2bmHDwx/F/D0wXAK95+Z/fdJy3gH8L6qmjhbOe3p2z289+D7/ussjhLvyb080IV/sG0BfrqqbhmcuJ3VHTzLuZvufzzT1HXQ/wLeXFUbk5wAnD3TSlbVPyX5DvAc4DU8NLT+t6p6z0A9XwEsB55aVd9pO+yHI0nSEux9NVNV9adJfg14VlV9bYpJvp+u59IZwDXAfwaeQRfWXw+cShdiP1dVpyb5SeAvWv1mwp5RWrK8plW91I7uPbqqLqfrSrN6mknvTPKkJN9Ft0Ob8BG6oDuxvCnnT3Im8KiqOneg+Cq6rrv7taOzzwSunjTrVcCL23Udj6L7gKeqvg7cluQlbflJ8uQZNHkq2+h2pgA/PVD+YeBX2jWkJDl2L8v5NPCfkhzVpp+qe/Cjga+24X3pZvXbwG+2s9N782hgZwusz6I7GyxJErTeVwOPdwNf54HeVz9F61o7C88G3trC8EZm0fuKLjReXFW7q+pOYKL31aDpQtxsw91tVXVDVd0HbKHrPVV0AXJlm+YZwF8CVNVHge9N8ugZLv9SutB6Gl3PqMn+sK2jM3hwz6jrgb/jgZ5R0oLzTKv6YPJR1Q/RHRW9rO08AvzXaeZdT9d1+HbgRrruNQC/CvxZ+6BdRhcyXzXF/K8DvjPw/u+gu47j6XRdcwr4jap6UNfVqrouybuBzcA/Ap8cePllwNtbl9j9gUt46HUjM/FG4Px0t87/7ED5/wD+GLi+BddtwAunW0hV7UpyBvC+Fu530p0VHXQ2XZfmrwKfAY6aTUWr6h9mMflFwP9Nsolu/X1hNu8lSRovS6D31T/TdaEddDCzu9QGHnzm876B8ft44Dv7VPWZUTi2Z5SWMkOrFl1V7TfNS8dNMe2FdN11JsbfQ9fdZfJ0X6O74cDk8rMnjU8Xzv5be0yrqs4Bzpmi/Da6a0X2NO+FDLRjoPwVA8OfBH5gimm+Bbxyb8usqhcODP8tk+7qOzh9u0ZlVtepVNXHgY9PUX72wPArpnj9a3QHBSRJ2qvW++q7q+ryJJ8Btk4z6Z1JngTcQtf76u5WPtH76g/b8lZX1eYp3me63levTLKBLog+k0nfD6rqG0l2JDmxqq5sPZpOojsAP9ndwKOAqboHz8RVdAfH/0e7nOdrrZfXTP02cGhV7d5Dd+oJ9oxSbxhaJc3Ut4DnJ3lXVf2X+V54kkfQdWXen+6osiRp/Cy53lfNz7f3eFMbf2NVfWmK6c4D/jbJjqp61jTt2JOzgT9vbfkms7ykx55RWqritdSSJEnSaGjdeu+/QdUQ32dbe599PWsszZg3YpIkSZJGx/09o4ax8HYTys3YM0oLyDOtkiRJkqTe8kyrJEmSJKm3DK2SJEmSpN4ytEqSJEmSesvQKkmSJEnqLUOrJEmSJKm3DK2SJEmSpN4ytEqSJEmSesvQKkmSJEnqLUOrJEmSJKm3DK2SJEmSpN4ytEqSJEmSesvQKkmSJEnqLUOrJEmSJKm3DK2SJEmSpN4ytEqSJEmSesvQKkmSJEnqLUOrJEmSJKm3DK2SJEmSpN4ytEqSJEmSesvQKkmSJEnqLUOrJEmSJKm3DK2SJEmSpN4ytEqSJEmSesvQKkmSJEnqLUOrJEmSJKm3DK2SJEmSpN4ytEqSJEmSesvQKkmSJEnqLUOrJEmSJKm3DK2SJEmSpN4ytEqSJEmSesvQKkmSJEnqLUOrJEmSJKm3DK2SJEmSpN4ytEqSJEmSesvQKkmSJEnqLUOrJEmSJKm3DK2SJEmSpN4ytEqSJEmSesvQKkmSJEnqLUOrJEmSJKm3DK2SJEmSpN4ytEqSJEmSemvZYlcA4JBDDqmVK1cudjUkSYvs2muv/VpVLV/semj+uI+XJMHc9vG9CK0rV65k06ZNi10NSdIiS/KPi10HzS/38ZIkmNs+3u7BkiRJkqTeMrRKkiRJknprr6E1yZFJPpbk5iRbkrymlZ+d5KtJNrfHCwbmOSvJ1iS3JHneMBsgSZIkSRpdM7mm9V7g16vquiSPAq5NckV77S1V9UeDEyc5GlgLHAN8H/B3SX6gqnbPZ8UlSZIkSaNvr2daq2pHVV3Xhu8GbgYO38MspwCXVNU9VXUbsBU4bj4qK0mSJEkaL7O6e3CSlcCxwGeB44FXJ/l5YBPd2dh/oQu0nxmYbTt7DrnzZuX6Dy7E28zItnNPXuwqSJI0MtzHS9L4mvGNmJIcCLwXeG1VfR14O/AEYDWwA3jTxKRTzF5TLO+MJJuSbNq1a9ds6y1JkiRJGgMzCq1J9qcLrBdV1fsAqurOqtpdVfcB7+SBLsDbgSMHZj8CuGPyMqvqvKpaU1Vrli/3d+QlSZIkSQ81k7sHBzgfuLmq3jxQvmJgshcDN7bhjcDaJAckOQpYBVw9f1WWJEmSJI2LmVzTejzwcuCGJJtb2euB05Kspuv6uw14JUBVbUlyKXAT3Z2Hz/TOwZIkSZKkfbHX0FpVn2Lq61Qv38M85wDnzKFekiRJkiTN/EZMkiRJkiQtNEOrJEmSJKm3DK2SJEmSpN4ytEqSJEmSesvQKkmSJEnqLUOrJEmSJKm3DK2SJI2pJEcm+ViSm5NsSfKaVn52kq8m2dweLxiY56wkW5PckuR5i1d7SdK42OvvtEqSpJF1L/DrVXVdkkcB1ya5or32lqr6o8GJkxwNrAWOAb4P+LskP1BVuxe01pKkseKZVkmSxlRV7aiq69rw3cDNwOF7mOUU4JKquqeqbgO2AscNv6aSpHFmaJUkSSRZCRwLfLYVvTrJ9UkuSHJQKzscuH1gtu3sOeRKkjRnhlZJksZckgOB9wKvraqvA28HngCsBnYAb5qYdIrZa4rlnZFkU5JNu3btGk6lJUljw9AqSdIYS7I/XWC9qKreB1BVd1bV7qq6D3gnD3QB3g4cOTD7EcAdk5dZVedV1ZqqWrN8+fLhNkCSNPIMrZIkjakkAc4Hbq6qNw+UrxiY7MXAjW14I7A2yQFJjgJWAVcvVH0lSePJuwdLkjS+jgdeDtyQZHMrez1wWpLVdF1/twGvBKiqLUkuBW6iu/Pwmd45WJI0bIZWSZLGVFV9iqmvU718D/OcA5wztEpJkjSJ3YMlSZIkSb1laJUkSZIk9ZahVZIkSZLUW4ZWSZIkSVJvGVolSZIkSb1laJUkSZIk9dZeQ2uSI5N8LMnNSbYkeU0rPzjJFUlubc8HDcxzVpKtSW5J8rxhNkCSJEmSNLpmcqb1XuDXq+pJwNOAM5McDawHrqyqVcCVbZz22lrgGOAk4G1J9htG5SVJkiRJo22vobWqdlTVdW34buBm4HDgFGBDm2wDcGobPgW4pKruqarbgK3AcfNcb0mSJEnSGJjVNa1JVgLHAp8FDquqHdAFW+DQNtnhwO0Ds21vZZOXdUaSTUk27dq1ax+qLkmSJEkadTMOrUkOBN4LvLaqvr6nSacoq4cUVJ1XVWuqas3y5ctnWg1JkiRJ0hiZUWhNsj9dYL2oqt7Xiu9MsqK9vgLY2cq3A0cOzH4EcMf8VFeSJEmSNE5mcvfgAOcDN1fVmwde2gisa8PrgMsGytcmOSDJUcAq4Or5q7IkSZIkaVwsm8E0xwMvB25IsrmVvR44F7g0yenAV4CXAFTVliSXAjfR3Xn4zKraPd8VlyRJkiSNvr2G1qr6FFNfpwpw4jTznAOcM4d6SZIkSZI0u7sHS5IkSZK0kAytkiRJkqTeMrRKkjSmkhyZ5GNJbk6yJclrWvnBSa5Icmt7PmhgnrOSbE1yS5LnLV7tJUnjwtAqSdL4uhf49ap6EvA04MwkRwPrgSurahVwZRunvbYWOAY4CXhbkv0WpeaSpLFhaJUkaUxV1Y6quq4N3w3cDBwOnAJsaJNtAE5tw6cAl1TVPVV1G7AVOG5BKy1JGjuGVkmSRJKVwLHAZ4HDqmoHdMEWOLRNdjhw+8Bs21uZJElDY2iVJGnMJTkQeC/w2qr6+p4mnaKspljeGUk2Jdm0a9eu+aqmJGlMGVolSRpjSfanC6wXVdX7WvGdSVa011cAO1v5duDIgdmPAO6YvMyqOq+q1lTVmuXLlw+v8pKksWBolSRpTCUJcD5wc1W9eeCljcC6NrwOuGygfG2SA5IcBawCrl6o+kqSxtOyxa6AJElaNMcDLwduSLK5lb0eOBe4NMnpwFeAlwBU1ZYklwI30d15+Myq2r3gtZYkjRVDqyRJY6qqPsXU16kCnDjNPOcA5wytUpIkTWL3YEmSJElSbxlaJUmSJEm9ZWiVJEmSJPWWoVWSJEmS1FuGVkmSJElSbxlaJUmSJEm9ZWiVJEmSJPWWoVWSJEmS1FuGVkmSJElSb+01tCa5IMnOJDcOlJ2d5KtJNrfHCwZeOyvJ1iS3JHnesCouSZIkSRp9MznTeiFw0hTlb6mq1e1xOUCSo4G1wDFtnrcl2W++KitJkiRJGi97Da1VdRVw1wyXdwpwSVXdU1W3AVuB4+ZQP0mSJEnSGJvLNa2vTnJ96z58UCs7HLh9YJrtrUySJEmSpFnb19D6duAJwGpgB/CmVp4ppq2pFpDkjCSbkmzatWvXPlZDkiRJkjTK9im0VtWdVbW7qu4D3skDXYC3A0cOTHoEcMc0yzivqtZU1Zrly5fvSzUkSZIkSSNun0JrkhUDoy8GJu4svBFYm+SAJEcBq4Cr51ZFSZIkSdK4Wra3CZJcDJwAHJJkO/AG4IQkq+m6/m4DXglQVVuSXArcBNwLnFlVu4dSc0mSJEnSyNtraK2q06YoPn8P058DnDOXSkmSJEmSBHO7e7AkSVrC2i8A7Exy40DZ2Um+mmRze7xg4LWzkmxNckuS5y1OrSVJ48bQKknS+LoQOGmK8rdU1er2uBwgydHAWuCYNs/bkuy3YDWVJI0tQ6skSWOqqq4C7prh5KcAl1TVPVV1G7CVB349QJKkoTG0SpKkyV6d5PrWffigVnY4cPvANNtbmSRJQ2VolSRJg94OPAFYDewA3tTKM8W0NdUCkpyRZFOSTbt27RpKJSVJ48PQKkmS7ldVd1bV7qq6D3gnD3QB3g4cOTDpEcAd0yzjvKpaU1Vrli9fPtwKS5JGnqFVkiTdL8mKgdEXAxN3Ft4IrE1yQJKjgFXA1QtdP0nS+Nnr77RKkqTRlORi4ATgkCTbgTcAJyRZTdf1dxvwSoCq2pLkUuAm4F7gzKravQjVliSNGUOrJEljqqpOm6L4/D1Mfw5wzvBqJEnSQ9k9WJIkSZLUW4ZWSZIkSVJvGVolSZIkSb1laJUkSZIk9ZahVZIkSZLUW4ZWSZIkSVJvGVolSZIkSb1laJUkSZIk9ZahVZIkSZLUW4ZWSZIkSVJvGVolSZIkSb2119Ca5IIkO5PcOFB2cJIrktzang8aeO2sJFuT3JLkecOquCRJkiRp9M3kTOuFwEmTytYDV1bVKuDKNk6So4G1wDFtnrcl2W/eaitJkiRJGit7Da1VdRVw16TiU4ANbXgDcOpA+SVVdU9V3QZsBY6bn6pKkiRJksbNvl7TelhV7QBoz4e28sOB2wem297KJEmSJEmatfm+EVOmKKspJ0zOSLIpyaZdu3bNczUkSZIkSaNgX0PrnUlWALTnna18O3DkwHRHAHdMtYCqOq+q1lTVmuXLl+9jNSRJkiRJo2xfQ+tGYF0bXgdcNlC+NskBSY4CVgFXz62KkiRpGPyFAEnSUjCTn7y5GPg08MQk25OcDpwLPCfJrcBz2jhVtQW4FLgJ+BBwZlXtHlblJUnSnFyIvxAgSeq5ZXuboKpOm+alE6eZ/hzgnLlUSpIkDV9VXZVk5aTiU4AT2vAG4OPAbzLwCwHAbUkmfiHg0wtSWUnS2JrvGzFJkqSlzV8IkCT1iqFVkiTNhL8QIElaFIZWSZI0yF8IkCT1iqFVkiQN8hcCJEm9stcbMUmSpNHUfiHgBOCQJNuBN9D9IsCl7dcCvgK8BLpfCEgy8QsB9+IvBEiSFoihVZKkMeUvBEiSlgK7B0uSJEmSesvQKkmSJEnqLUOrJEmSJKm3DK2SJEmSpN4ytEqSJEmSesvQKkmSJEnqLUOrJEmSJKm3DK2SJEmSpN4ytEqSJEmSesvQKkmSJEnqLUOrJEmSJKm3DK2SJEmSpN4ytEqSJEmSesvQKkmSJEnqLUOrJEmSJKm3ls1l5iTbgLuB3cC9VbUmycHAu4GVwDbgZ6vqX+ZWTUmSJEnSOJqPM63PqqrVVbWmja8HrqyqVcCVbVySJEmSpFkbRvfgU4ANbXgDcOoQ3kOSJEmSNAbmGloL+EiSa5Oc0coOq6odAO350Dm+hyRJWmBJtiW5IcnmJJta2cFJrkhya3s+aLHrKUkafXMNrcdX1VOA5wNnJnnmTGdMckaSTUk27dq1a47VkCRJQ+AlQJKkRTen0FpVd7TnncD7geOAO5OsAGjPO6eZ97yqWlNVa5YvXz6XakiSpIXhJUCSpAW3z6E1ySOTPGpiGHgucCOwEVjXJlsHXDbXSkqSpAXnJUCSpF6Yy0/eHAa8P8nEcv66qj6U5Brg0iSnA18BXjL3akqSpAV2fFXdkeRQ4IokX5jpjC3kngHw2Mc+dlj1kySNiX0OrVX1ZeDJU5T/M3DiXColSZIW1+AlQEkedAlQVe3Y2yVAwHkAa9asqYWqsyRpNA3jJ28kSdIS5iVAkqQ+mUv3YEmSNJq8BEiS1BuGVkmS9CBeAiRJ6hO7B0uSJEmSesszrZIkSbOwcv0HF7sK99t27smLXQVJGjrPtEqSJEmSesvQKkmSJEnqLUOrJEmSJKm3DK2SJEmSpN7yRkySJEmasz7doAq8SZU0SjzTKkmSJEnqLc+0SpIkLVF9O7spScPgmVZJkiRJUm8ZWiVJkiRJvWVolSRJkiT1lqFVkiRJktRbhlZJkiRJUm959+Ah6dvd/PytMkmSNE769F3M72HS3HimVZIkSZLUW4ZWSZIkSVJv/X/t3X/cZWVd7//XOwZRQQVk5BCgg0YW+lXAkSSTUETxJ3jKwqOJ6Yk6aUppBllqeehAlmWZelAJTAQNNSclFVFEOwoMMPxyRBBGGRkZ1FJRU4HP9491DWxu7t+z973Xvuf1fDz2Y+917bXW/lzXve59rc9a11p7ZElrkiOSXJPkuiTHj+pzJEnS0rF/lyQttZFc05pkO+AfgMOBjcDFSdZU1RdH8Xmam9d1TK9P7dI3ffo7SeoH+3dJ0jiM6kZMBwHXVdX1AEnOAo4E7NQkSZpc9u/ShOvbAXsPkms+RpW07gncODC9EfiFEX2WJkzfviylhejb9mtnryVm/y4tQt/6DmnSjCppzTRldbcZkmOBY9vkrUmuGcLn7gZ8cwjrGbflUg9YPnVZLvWAedYlJy9BJFtnufxNtqoePfs7DeNv8pBhBKKRmbN/B/v4JWa7zMy2mV6v2mUZ9mPL0bDaZdF9/KiS1o3A3gPTewE3Dc5QVacApwzzQ5OsrarVw1znOCyXesDyqctyqQcsn7pYj/5ZTnXRjObs38E+finZLjOzbaZnu8zMtpleH9plVHcPvhjYN8k+Se4FHA2sGdFnSZKkpWH/LklaciM501pVtyV5GfBxYDvg1Kq6ehSfJUmSlob9uyRpHEY1PJiqOgc4Z1Trn8FQhyKN0XKpByyfuiyXesDyqYv16J/lVBfNYEz9O7h9zcR2mZltMz3bZWa2zfTG3i6pusf9EyRJkiRJ6oVRXdMqSZIkSdJWWxZJa5IjklyT5Lokx487nrkkOTXJ5iRXDZTtmuTcJNe2510G3juh1e2aJE8dT9T3lGTvJJ9Osj7J1Ule0conqi5J7p3koiSXt3r8WSufqHpskWS7JJcl+UibntR6bEhyZZJ1Sda2skmty85Jzk7ypfb/cvCk1SXJw9vfYsvju0mOm7R6aPJMWh+/tYa1j5DkMe079Lokf5dkup8rmijD3O9YTu0zzP2Y5dQug4axb7Qc22ZY+1pL0jZVNdEPuhtBfAV4KHAv4HJgv3HHNUfMhwAHAlcNlP0lcHx7fTxwcnu9X6vTDsA+ra7bjbsOLbY9gAPb6/sBX27xTlRd6H53cKf2envgQuBxk1aPgfr8AfBe4COTum21+DYAu00pm9S6nA78z/b6XsDOk1qXFuN2wDfofm9tYuvho/8PJrCPH0Kdh7KPAFwEHNz6uH8Dnjbuug2hbYa237Gc2och7scsp3aZ0kZbvW+0HNuGIe1rLUXbLIczrQcB11XV9VX1Y+As4MgxxzSrqroA+PaU4iPpdmxpz0cNlJ9VVT+qqhuA6+jqPHZVtamqLm2vvwesB/ZkwupSnVvb5PbtUUxYPQCS7AU8A3jnQPHE1WMWE1eXJPen2wl9F0BV/biq/pMJrMuAw4CvVNVXmex6qP8mro/fWsPYR0iyB3D/qvp8dXuU7x5YZmINa79jubXPsPZjllu7bDGMfaPl2jYz6GXbLIekdU/gxoHpja1s0uxeVZug+1IGHtTKJ6J+SVYBB9Ad3Zu4urRhI+uAzcC5VTWR9QD+Fng1cMdA2STWA7oO9xNJLklybCubxLo8FLgF+Mc2NOmdSXZkMuuyxdHAme31JNdD/ed21Fno/9me7fXU8mVjK/c7ll37DGk/Ztm1S/O3bP2+0XJtm2Hsay1J2yyHpHW6MdPL6ZbIva9fkp2ADwDHVdV3Z5t1mrJe1KWqbq+q/YG96I4aPXKW2XtZjyTPBDZX1SXzXWSasrHXY8Djq+pA4GnAS5McMsu8fa7LCrqhfm+rqgOA79MNt5lJn+tCknsBzwb+ea5ZpynrTT00MdyOZjdT+yzrdhvCfseya58h7ccsu3YZ4r7RsmubZhj7WkvSNsshad0I7D0wvRdw05hi2Ro3t9PrtOfNrbzX9UuyPV3HcUZVfbAVT2RdANqwzfOBI5i8ejweeHaSDXRD6J6U5D1MXj0AqKqb2vNm4EN0wwQnsS4bgY3tqDfA2XRJ7CTWBbqO7dKqurlNT2o9NBncjjoL/T/b2F5PLZ94Q9rvWLbts5X7McuxXYa1b7Qc22ZY+1pL0jbLIWm9GNg3yT7tDMDRwJoxx7QYa4Bj2utjgA8PlB+dZIck+wD70l3sPHbtzmDvAtZX1ZsG3pqouiRZmWTn9vo+wJOBLzFh9aiqE6pqr6paRfd/8KmqegETVg+AJDsmud+W18BTgKuYwLpU1TeAG5M8vBUdBnyRCaxL8zzuGhoMk1sPTYbl0sdvrQX9n7Uhfd9L8rjWV79wYJmJNaz9juXWPsPaj1lu7QLD2zdajm0zrH2tJWub6sGdq7b2ATyd7g5yXwFeM+545hHvmcAm4Cd0RydeAjwQOA+4tj3vOjD/a1rdrqFHdyoDfonu9P8VwLr2ePqk1QV4FHBZq8dVwGtb+UTVY0qdDuWuO+RNXD3orgO9vD2u3vJ/PYl1abHtD6xt29i/ALtMYl2A+wLfAh4wUDZx9fAxWY9J6+OHUN+h7CMAq1uf9hXgLUDGXbchtM3Q9juWU/swxP2Y5dQu07TToWzFvtFyaxuGuK+1FG2T9kGSJEmSJPXOchgeLEmSJElapkxaJUmSJEm9ZdIqSZIkSeotk1ZJkiRJUm+ZtEqSJEmSesukVZoQSXZPcszcc0qSJEnLh0mrtllJbk+ybuBxfCs/P8nqMcf2O0leODB9P+DNwKcWuJ5Dk3wnyTlt+uFJLklyeZKDW9mKJJ9Mct+B5c5I8u0kvzqcGkmSNDoDffrVrY/7gyRj389NclqSG1q/fmiSz095f0WSm5PskeScJDvPsa6h9stJ3pjkG0leNcz1SsO2YtwBSGP0w6raf9xBTKeq3j5l+nvA0Ytc3Wer6pnt9W8DxwMbgJOAXwH+F/BPVfWDgc97fpLTFvl5kiQttTv79CQPAt4LPAB43XxXkGS7qrp9BLH9YVWd3ZLovZKsqqoN7b0nA1dV1Sbg6SP4bJIESFXdMfW9qvrDJN8fxedKwzT2I1BSnyV5XpIrk1yV5OSB8luTnNiO5n4hye6t/GFt+uIkf57k1la+U5Lzklza1nfkwLpemOSKtq5/amWv33LUM8n+bZ1XJPlQkl1a+flJTk5yUZIvJ3nCPKr0E+A+wH2Bn7Qjus8C3j2UBpMkacyqajNwLPCydF6U5C1b3k/ykSSHtte3tv76QuDgJC9o/eq6JP83yXZJnj0wKuuaJDe0ZV/b+vurkpzSksPZ4roD+Gfg1weKjwbObOvbkGS39voe+waDkryhnXn9qSR/2OK4IsmftfdXJVmf5K3ApcDebf6r2n7I7y+yeaWxMGnVtuw+ufvw4MFOhCQ/DZwMPAnYH3hskqPa2zsCX6iqRwMXAL/Vyt8MvLmqHgvcNLC6/wKeU1UHAk8E/rp1pI8AXgM8qa3rFdPE+W7gj6rqUcCV3P2o8YqqOgg4jvkdTf4H4A+AtwN/AbwWOLGqah7LSpI0Earqerr93AfNMeuOdGc6fwH4Fl1C+fh21vZ24PlVtaaq9m9llwN/1ZZ9S1U9tqoeSXdA+Jn3WPs9nUkbOZVkB7qzqx8YnGGufYMkf9nq9Zt0Z2r3BQ6i21d5TJJD2qwPB95dVQcAuwF7VtUjq+r/A/5xHrFKveHwYG3L5hoe/Fjg/Kq6BbrrPIFDgH8Bfgx8pM13CXB4e30wcFR7/V7u6tgC/EXrSO4A9gR2p0uIz66qbwJU1bcHA0jyAGDnqvpMKzqd7ijtFh8ciGHVHPWlqr4GHNrW/TPATwNfakdx7wX8aVV9ea71SJI0AWY989nczl1J42HAY4CL20nT+wCb71xZ8mq6fYd/aEVPbGX3BXYFrgb+dbYPq6qL2+irhwM/T3cA/D+mzDbbvsGfAhdW1bEtpqcATwEua+/vRJfEfg34alV9oZVfDzw0yd8DHwU+MWurSD1j0irNbLbO7icDZydvZ+7/pecDK4HHVNVPkmwA7t0+Y2vOcv5oATFMdSLwJ8DLgTPornN9XYtVkqSJleShdH3jZuA27j668N4Dr/9r4DrWAKdX1QnTrO8w4Ll0B69Jcm/grcDqqroxyeunrHc2Z9Gdbf152tDgqR/HzPsGF9OdTd21JbMB/k9V/d8p8a4C7rxWtar+I8mjgacCLwV+DXjxPOOVxs7hwdLMLgR+OcluSbYDngd8Zo5lvkB3cyO4+42THgBsbgnrE4GHtPLzgF9L8kCAJLsOrqyqvgP8x8D1qr8xjxjmlOSXga9X1bV0R4jvoOvc7zvrgpIk9VySlXSXwbylHWDeAOzfrv/cm24o7XTOA3413Y2cSLJrkockeQhdgvprVfXDNu+WBPWbSXYCFnJX3zOBF9CdUV0zQxwz7Rt8jO5Gih9N98sCHwde3GIgyZ5b4h/UrpX9qar6AN3Z2gMXEK80dp5p1bbsPknWDUx/rKqO3zJRVZuSnAB8mu5I5jlV9eE51nkc8J4kr6QbfvOdVn4G8K9J1gLrgC+1z7g6yYnAZ5LcTje850VT1nkM8PZ0P0lzPd01LIvWbhTxJ3RHWQFOafGtoLuTsCRJk2ZLn7493ZnVfwLe1N77d+AGuvtCXEV3Y6J7qKovJvkT4BPp7vT7E7qzkk8FHgh8qA0bvqmqnp7kHW2dG+jOgM5L+5wfAJdU1T3u3DvXvkFV/XNLWNfQXRP7XuDzLbZb6RLiqXdB3hP4x9z1M0D3OJss9Vm8/4o0PC2x/GFVVZKjgedV1ZFzLTfCeA4FXjXwkzcLWfY04CNVdfaQw5IkaZswCX1pG9p8a1X91VzzSuPi8GBpuB4DrEtyBfC7wCvHHM+PgUcmOWchC7WbTv0y3V2PJUnS4nwHeEOS3xl3INNJ8ka6M7P+Vqt6zTOtkiRJkqTe8kyrJEmSJKm3TFolSZIkSb1l0ipJkiRJ6i2TVkmSJElSb5m0SpIkSZJ6y6RVkiRJktRbJq2SJEmSpN4yaZUkSZIk9ZZJqyRJkiSpt0xaJUmSJEm9ZdIqSZIkSeotk1ZJkiRJUm+ZtEqSJEmSesukVZIkSZLUWyatkiRJkqTeMmmVJEmSJPWWSaskSZIkqbdMWiVJkiRJvWXSKkmSJEnqLZNWSZIkSVJvmbRKkiRJknrLpFWSJEmS1FsmrZIkSZKk3jJplSRJkiT1lkmrJEmSJKm3TFolSZIkSb1l0ipJkiRJ6i2TVkmSJElSb5m0SpIkSZJ6y6RVkiRJktRbJq2SJEmSpN4yaZUkSZIk9ZZJqyRJkiSpt0xaJUmSJEm9ZdIqSZIkSeotk1ZJkiRJUm+ZtEqSJEmSesukVZIkSZLUWyatkiRJkqTeMmmVJEmSJPWWSaskSZIkqbdMWiVJkiRJvWXSKkmSJEnqLZNWSZIkSVJvmbRKkiRJknprxbgDANhtt91q1apV4w5DkjRml1xyyTerauW449Dw2MdLkmDr+vheJK2rVq1i7dq14w5DkjRmSb467hg0XPbxkiTYuj7e4cGSJEmSpN4yaZUkSZIk9ZZJqyRJkiSpt0xaJUmSJEm9ZdIqSZIkSeqtXtw9eFhWHf/RcYdwpw0nPWPcIUiStGzYx0vStsszrZIkSZKk3jJplSRJkiT1lkmrJEmSJKm3TFolSZIkSb1l0ipJ0jYqyalJNie5aqBs1yTnJrm2Pe8y8N4JSa5Lck2Sp44naknStsakVZKkbddpwBFTyo4HzquqfYHz2jRJ9gOOBh7Rlnlrku2WLlRJ0rbKpFWSpG1UVV0AfHtK8ZHA6e316cBRA+VnVdWPquoG4DrgoKWIU5K0bTNplSRJg3avqk0A7flBrXxP4MaB+Ta2MkmSRsqkVZIkzUemKatpZ0yOTbI2ydpbbrllxGFJkpY7k1ZJkjTo5iR7ALTnza18I7D3wHx7ATdNt4KqOqWqVlfV6pUrV440WEnS8mfSKkmSBq0BjmmvjwE+PFB+dJIdkuwD7AtcNIb4JEnbmBXjDkCSJI1HkjOBQ4HdkmwEXgecBLw/yUuArwHPBaiqq5O8H/gicBvw0qq6fSyBS5K2KXMmrUn2Bt4N/DfgDuCUqnpzktcDvwVsuVjlj6vqnLbMCcBLgNuBl1fVx0cQuyRJ2gpV9bwZ3jpshvlPBE4cXUSSJN3TfM603ga8sqouTXI/4JIk57b3/qaq/mpw5im/4/bTwCeT/KxHYyVJkiRJCzXnNa1VtamqLm2vvwesZ/Zb3Ps7bpIkSZKkoVjQjZiSrAIOAC5sRS9LckWSU5Ps0sr8HTdJkiRJ0lDMO2lNshPwAeC4qvou8DbgYcD+wCbgr7fMOs3i9/gdN3/DTZIkSZI0l3klrUm2p0tYz6iqDwJU1c1VdXtV3QG8g7uGAM/rd9z8DTdJkiRJ0lzmTFqTBHgXsL6q3jRQvsfAbM8Brmqv/R03SZIkSdJQzOfuwY8HfgO4Msm6VvbHwPOS7E839HcD8Nvg77hJkiRJkoZnzqS1qj7H9NepnjPLMv6OmyRJkiRpqy3o7sGSJEmSJC0lk1ZJkiRJUm+ZtEqSJEmSesukVZIkSZLUWyatkiRJkqTeMmmVJEmSJPWWSaskSZIkqbdMWiVJkiRJvWXSKkmSJEnqLZNWSZIkSVJvmbRKkiRJknrLpFWSJN1Dkt9PcnWSq5KcmeTeSXZNcm6Sa9vzLuOOU5K0/Jm0SpKku0myJ/ByYHVVPRLYDjgaOB44r6r2Bc5r05IkjZRJqyRJms4K4D5JVgD3BW4CjgROb++fDhw1ntAkSdsSk1ZJknQ3VfV14K+ArwGbgO9U1SeA3atqU5tnE/Cg8UUpSdpWmLRKkqS7adeqHgnsA/w0sGOSFyxg+WOTrE2y9pZbbhlVmJKkbYRJqyRJmurJwA1VdUtV/QT4IPCLwM1J9gBoz5unW7iqTqmq1VW1euXKlUsWtCRpeZozaU2yd5JPJ1nf7iL4ilY+4x0Ek5yQ5Lok1yR56igrIEmShu5rwOOS3DdJgMOA9cAa4Jg2zzHAh8cUnyRpGzKfM623Aa+sqp8HHge8NMl+zHAHwfbe0cAjgCOAtybZbhTBS5Kk4auqC4GzgUuBK+n2F04BTgIOT3ItcHibliRppFbMNUO70cKWmy58L8l6YE+6a10ObbOdDpwP/FErP6uqfgTckOQ64CDg88MOXpIkjUZVvQ543ZTiH9GddZUkacks6JrWJKuAA4ALmfkOgnsCNw4strGVSZIkSZK0IPNOWpPsBHwAOK6qvjvbrNOU1TTr886CkiRJkqRZzStpTbI9XcJ6RlV9sBXPdAfBjcDeA4vvRfeD5HfjnQUlSZIkSXOZz92DA7wLWF9Vbxp4a6Y7CK4Bjk6yQ5J9gH2Bi4YXsiRJkiRpWzHnjZiAxwO/AVyZZF0r+2O6Owa+P8lL6G6N/1yAqro6yfuBL9LdefilVXX7sAOXJEmSJC1/87l78OeY/jpVmOEOglV1InDiVsQlSZIkSdLC7h4sSZIkSdJSMmmVJEmSJPWWSaskSZIkqbdMWiVJkiRJvWXSKkmSJEnqLZNWSZIkSVJvmbRKkiRJknrLpFWSJEmS1FsmrZIkSZKk3jJplSRJkiT11opxByBJkjRJVh3/0XGHcKcNJz1j3CFI0sh5plWSJEmS1FsmrZIkSZKk3jJplSRJ95Bk5yRnJ/lSkvVJDk6ya5Jzk1zbnncZd5ySpOXPpFWSJE3nzcDHqurngEcD64HjgfOqal/gvDYtSdJImbRKkqS7SXJ/4BDgXQBV9eOq+k/gSOD0NtvpwFHjiE+StG0xaZUkSVM9FLgF+McklyV5Z5Idgd2rahNAe37QOIOUJG0b5kxak5yaZHOSqwbKXp/k60nWtcfTB947Icl1Sa5J8tRRBS5JkkZmBXAg8LaqOgD4PgsYCpzk2CRrk6y95ZZbRhWjJGkbMZ8zracBR0xT/jdVtX97nAOQZD/gaOARbZm3JtluWMFKkqQlsRHYWFUXtumz6ZLYm5PsAdCeN0+3cFWdUlWrq2r1ypUrlyRgSdLyNWfSWlUXAN+e5/qOBM6qqh9V1Q3AdcBBWxGfJElaYlX1DeDGJA9vRYcBXwTWAMe0smOAD48hPEnSNmbFViz7siQvBNYCr6yq/wD2BL4wMM/GViZJkibL7wFnJLkXcD3wm3QHu9+f5CXA14DnjjE+SdI2YrFJ69uANwDVnv8aeDGQaeat6VaQ5FjgWIAHP/jBiwxDkiSNQlWtA1ZP89ZhSxyKJGkbt6iktapu3vI6yTuAj7TJjcDeA7PuBdw0wzpOAU4BWL169bSJrSRJkibDquM/Ou4Q7mbDSc8YdwiShmRRP3mz5SYMzXOALXcWXgMcnWSHJPsA+wIXbV2IkiRJkqRt1ZxnWpOcCRwK7JZkI/A64NAk+9MN/d0A/DZAVV2d5P10N2u4DXhpVd0+ksglSZIkScvenElrVT1vmuJ3zTL/icCJWxOUJEmSJEmwyOHBkiRJkiQtBZNWSZIkSVJvmbRKkiRJknrLpFWSJEmS1FsmrZIkSZKk3jJplSRJkiT1lkmrJEmSJKm3TFolSZIkSb1l0ipJkiRJ6i2TVkmSJElSb5m0SpIkSZJ6y6RVkiRJktRbJq2SJEmSpN4yaZUkSZIk9ZZJqyRJkiSpt0xaJUnStJJsl+SyJB9p07smOTfJte15l3HHKEla/kxaJUnSTF4BrB+YPh44r6r2Bc5r05IkjZRJqyRJuockewHPAN45UHwkcHp7fTpw1BKHJUnaBs2ZtCY5NcnmJFcNlM04PCjJCUmuS3JNkqeOKnBJkjRSfwu8GrhjoGz3qtoE0J4fNN2CSY5NsjbJ2ltuuWXkgUqSlrf5nGk9DThiStm0w4OS7AccDTyiLfPWJNsNLVpJkjRySZ4JbK6qSxazfFWdUlWrq2r1ypUrhxydJGlbM2fSWlUXAN+eUjzT8KAjgbOq6kdVdQNwHXDQcEKVJElL5PHAs5NsAM4CnpTkPcDNSfYAaM+bxxeiJGlbsdhrWmcaHrQncOPAfBtbmSRJmhBVdUJV7VVVq+hGUH2qql4ArAGOabMdA3x4TCFKkrYhw74RU6Ypq2ln9HoXSZImzUnA4UmuBQ5v05IkjdSKRS53c5I9qmrTlOFBG4G9B+bbC7hpuhVU1SnAKQCrV6+eNrGVJEnjVVXnA+e3198CDhtnPJKkbc9iz7TONDxoDXB0kh2S7APsC1y0dSFKkiRJkrZVc55pTXImcCiwW5KNwOvohgO9P8lLgK8BzwWoqquTvB/4InAb8NKqun1EsUuSJEmSlrk5k9aqet4Mb007PKiqTgRO3JqgJEmSJEmCxV/TKkmSJPXWquM/Ou4Q7rThpGeMOwRpog377sGSJEmSJA2NSaskSZIkqbdMWiVJkiRJvWXSKkmSJEnqLW/EJEmSNKH6dLMhSRoVz7RKkiRJknrLpFWSJEmS1FsmrZIkSZKk3jJplSRJkiT1lkmrJEmSJKm3TFolSZIkSb1l0ipJkiRJ6i2TVkmSJElSb5m0SpIkSZJ6y6RVkiTdTZK9k3w6yfokVyd5RSvfNcm5Sa5tz7uMO1ZJ0vJn0ipJkqa6DXhlVf088DjgpUn2A44HzquqfYHz2rQkSSO1VUlrkg1JrkyyLsnaVuZRWEmSJlhVbaqqS9vr7wHrgT2BI4HT22ynA0eNJUBJ0jZlGGdan1hV+1fV6jbtUVhJkpaJJKuAA4ALgd2rahN0iS3woDGGJknaRoxieLBHYSVJWgaS7AR8ADiuqr67gOWOTbI2ydpbbrlldAFKkrYJW5u0FvCJJJckObaVeRRWkqQJl2R7uoT1jKr6YCu+Ocke7f09gM3TLVtVp1TV6qpavXLlyqUJWJK0bG1t0vr4qjoQeBrdTRoOme+CHoWVJKmfkgR4F7C+qt408NYa4Jj2+hjgw0sdmyRp27NVSWtV3dSeNwMfAg7Co7CSJE26xwO/ATyp3WxxXZKnAycBhye5Fji8TUuSNFIrFrtgkh2Bn6qq77XXTwH+nLuOwp6ER2ElSZo4VfU5IDO8fdhSxiJJ0qKTVmB34EPdCCJWAO+tqo8luRh4f5KXAF8Dnrv1YUqSJEmStkWLTlqr6nrg0dOUfwuPwkqSJEmShmAUP3kjSZIkSdJQmLRKkiRJknpra65plSRJkqRFW3X8R8cdwp02nPSMcYegGZi0jkif/gHBf0JJkiT1bx9Vmg+HB0uSJEmSesszrZIkSdIIeXZT2jqeaZUkSZIk9ZZJqyRJkiSpt0xaJUmSJEm9ZdIqSZIkSeotk1ZJkiRJUm+ZtEqSJEmSesufvJEkSZKkHunTzyRtOOkZ4w7BpFXqiz59OUE/vqAkSZIkk1ZJmmB9OtjhgQ5JkjQKXtMqSZIkSeotz7RuI/p0NqZPPDMkSZIkcH+5z0aWtCY5AngzsB3wzqo6aVSfJWn4+vTF7cEFqT/s3yVJS20kSWuS7YB/AA4HNgIXJ1lTVV8cxedJ0lLpUzIvLTX7d0nSOIzqTOtBwHVVdT1AkrOAIwE7NfWKCchk8O8k9Yb9uyRpyY3qRkx7AjcOTG9sZZIkaXLZv0uSltyozrRmmrK62wzJscCxbfLWJNcM4XN3A745hPUsJWNeOpMYtzEvjUmMGXoWd06e12xzxfyQoQSjUZmzf4d59fG92nbnwXhHy3hHb9JiNt7RWlC88+zf52PRffyoktaNwN4D03sBNw3OUFWnAKcM80OTrK2q1cNc56gZ89KZxLiNeWlMYswwmXFPYsy6mzn7d5i7j5+07cB4R8t4R2/SYjbe0Zq0eGF0w4MvBvZNsk+SewFHA2tG9FmSJGlp2L9LkpbcSM60VtVtSV4GfJzulvinVtXVo/gsSZK0NOzfJUnjMLLfaa2qc4BzRrX+GQx1uPESMealM4lxG/PSmMSYYTLjnsSYNWBI/fukbQfGO1rGO3qTFrPxjtakxUuq7nH/BEmSJEmSemFU17RKkiRJkrTVlkXSmuSIJNckuS7J8eOOZzpJ9k7y6STrk1yd5BWt/PVJvp5kXXs8fdyxTpVkQ5IrW3xrW9muSc5Ncm173mXccW6R5OED7bkuyXeTHNe3tk5yapLNSa4aKJuxXZOc0Lbxa5I8dTxRzxj3G5N8KckVST6UZOdWvirJDwfa/O09innG7aEPbT1DzO8biHdDknWtvC/tPNP3XO+3ay2NvvbXC+3nlnq7HVZ/keQxrZ7XJfm7JNP9hNEoY17w9+5SxDzM766lauNZYu5rG987yUVJLm/x/lkr72UbzxJvL9t34LO2S3JZko+06V6276JU1UQ/6G4E8RXgocC9gMuB/cYd1zRx7gEc2F7fD/gysB/weuBV445vjtg3ALtNKftL4Pj2+njg5HHHOcv28Q2634XqVVsDhwAHAlfN1a5tW7kc2AHYp23z2/Uo7qcAK9rrkwfiXjU4X8/aetrtoS9tPV3MU97/a+C1PWvnmb7ner9d+1iS7aO3/fVC+rlxbLfD6i+Ai4CD6X5v99+Apy1xzAv+3l2KmIf53bVUbTxLzH1t4wA7tdfbAxcCj+trG88Sby/bdyCOPwDeC3ykTfeyfRfzWA5nWg8Crquq66vqx8BZwJFjjukeqmpTVV3aXn8PWA/sOd6otsqRwOnt9enAUeMLZVaHAV+pqq+OO5CpquoC4NtTimdq1yOBs6rqR1V1A3Ad3ba/5KaLu6o+UVW3tckv0P12Y2/M0NYz6UVbzxZzO+r5a8CZSxrUHGb5nuv9dq0lMRH99YDebLfD6C+S7AHcv6o+X92e6bsZYd89jO/dpYp5WN9dS9nGi9ivHHcbV1Xd2ia3b4+ip208S7wzGfs2kWQv4BnAO6fE1bv2XYzlkLTuCdw4ML2RnieDSVYBB9AdtQF4WbphlaemR8NsBxTwiSSXJDm2le1eVZug++IEHjS26GZ3NHffse97W8/UrpO0nb+Y7sjcFvu0oSqfSfKEcQU1g+m2h0lo6ycAN1fVtQNlvWrnKd9zy2G71tbr8997If1cX+qx0Pj2bK+nli+1hXzvLnnMW/ndNZY2nud+5dhjbkNX1wGbgXOrqtdtPEO80NP2Bf4WeDVwx0BZb9t3oZZD0jrdOOve3hI5yU7AB4Djquq7wNuAhwH7A5vohvz1zeOr6kDgacBLkxwy7oDmI90P3z8b+OdWNAltPZOJ2M6TvAa4DTijFW0CHlxVB9CGrCS5/7jim2Km7WES2vp53P1gTK/aeZrvuRlnnaasb22t4enz33sh/Vyf6wEzx9eHuBf6vbukMQ/hu2vJ23gB+5Vjj7mqbq+q/elGYx2U5JGzzN7XeHvZvkmeCWyuqkvmu8g0ZX35npjWckhaNwJ7D0zvBdw0plhmlWR7ui+WM6rqgwBVdXP7p7gDeAc9HBpXVTe1583Ah+hivLkNIaA9bx5fhDN6GnBpVd0Mk9HWzNyuvd/OkxwDPBN4fhtSQht28q32+hK6ayZ+dnxR3mWW7aHXbZ1kBfDfgfdtKetTO0/3PccEb9caqt7+vRfYz/WlHguNbyN3v3RjyeNexPfuksU8pO+uJW3jBe5X9iLmFuN/AucDR9DzNp4ab4/b9/HAs5NsoLv04klJ3sMEtO98LYek9WJg3yT7tDNrRwNrxhzTPbRr0N4FrK+qNw2U7zEw23OAq6YuO05Jdkxyvy2v6W64cxVdGx/TZjsG+PB4IpzV3c5G9b2tm5nadQ1wdJIdkuwD7Et3oXwvJDkC+CPg2VX1g4HylUm2a68fShf39eOJ8u5m2R563dbAk4EvVdWdw3f60s4zfc8xodu1hq6X/fUi+rm+bLcLiq8NDfxekse1/9UXssR990K/d5cq5mF9dy1lGy9iv3Lcbbwyd/2ywH1ofRk9beOZ4u1r+1bVCVW1V1Wtovtu/VRVvYCetu+iVA/uBrW1D+DpdHdN+wrwmnHHM0OMv0R3ev0KYF17PB34J+DKVr4G2GPcsU6J+6F0dxe7HLh6S/sCDwTOA65tz7uOO9Ypcd8X+BbwgIGyXrU1XUK9CfgJ3ZGtl8zWrsBr2jZ+DWO8k9sMcV9Hd23Elm377W3eX2nbzeXApcCzehTzjNtDH9p6uphb+WnA70yZty/tPNP3XO+3ax9Lto30rr9eTD+31NvtsPoLYDXdTvZXgLcAWeKYF/y9uxQxD/O7a6naeJaY+9rGjwIua3FdxV13v+9lG88Sby/bd0rsh3LX3YN72b6LeaQFJ0mSJElS7yyH4cGSJEmSpGXKpFWSJEmS1FsmrZIkSZKk3jJplSRJkiT1lkmrJEmSJKm3TFolSZKkbVCSpybZf9xxSHMxadWskjwwybr2+EaSrw9M32tEn/nnSZ48TfmhST6ywHWdn2T1IuN4fZJXLWD+HZJ8srXNry/mMwfWtXOS392adcyx/te3v+Wft+kXJakkhw3M85xW9qtt+vwk1yS5PMm/J3n4iGLbL8nmJP+WZMWU905t7101zXIHJ3lHksOTXJLkyvb8pIF5Pp3k1sVuE5KkhRvHvsRitX2NX1zCz1rofs0bk1yd5I2L+Lxzkuw8MP0k4Kl0v1G8kPWcluSGJL/Tpu/cX0py7yTnJnldkvu0v/GPk+y20HilQSvmnkXbsqr6FrA/dF9KwK1V9Vcj/szXjnL9I3QAsH1V7T/1jSTbVdXtC1jXzsDvAm9dSAAL/Jy/mfK3vBJ4Ht2PTwMczT07sudX1dokxwJvBJ69kPjmkuSngfcD/x14DnAK8OKBWU6j+6Hrd0+z+BHAx4BvAs+qqpuSPBL4OLAnQFU9Mcn5w4xZkjS7cexLzCbJiqq6bYa3DwVuBf7fAta30D5+a/w2sLKqfrTQBavq6VOmPwV8apFx/GFVnT1Y0A5AfAC4pKr+rBXvn2TDIj9DupNnWrVgSR6T5DPtLNbHk+zRys9PcnKSi5J8OckTWvmqJJ9Ncml7/OLAul7dzohdnuSkVnbawNm9I5J8Kcnn6BKZLcsdlOT/JbmsPT+8ld8nyVlJrkjyPuA+M9ThtUkuTnJVklOSZI46/1ab//IkH0hy3ynvPwh4D92X87okD0uyoX3O54DnzrSOJLsn+VArv7y1z0nAw9q63jj1aGyStyR5UXs9r8+Zh88CByXZPslOwM8A62aY9wLgZ2b72w7Euqr9Dd/Z2vuMJE9Od7b22iQHtfnuD7wPOLaqPldVrwRuSTsbDFBVFwDfniGmw4BPVtVlVXVTK7sauHeSHebZBpKkJTDHvsTfJLkgyfokj03ywdZf/O82z5Z+5fTW35890KfOtt6/SPIZ4BVJnpXkwrYf8cnWF68Cfgf4/db/PmFwn6St59b2fGi60TvvpTvoS5J/aZ97dbqDu9PVe6b9mh3TjSa6uMV05DTLrgF2BC5M8uuzxLZHa791rd/dsj+2Ie2MZ5I/aO9dleS4gXZdn27U0tVJPpFk2v2oaawAzgKurarj57mMNG8mrVqoAH8P/GpVPQY4FThx4P0VVXUQcBzwula2GTi8qg4Efh34O4AkTwOOAn6hqh4N/OXdPii5N/AO4FnAE4D/NvD2l4BDquoA4LXAX7Ty/wX8oKoe1eJ6zAz1eEtVPbaqHkmX2D5zjnp/sM3/aGA98JLBN6tqM/A/gc9W1f5V9ZX21n9V1S9V1VmzrOPvgM+08gPpEq3jga+0df3hHLHN93PmUsAn6YYKHQmsmWXeZ9F10tP+bafxM8CbgUcBPwf8D+CXgFcBfwxQVd+tqidU1Z1Ht6vqj+Zz5r11wj+pqu9MeetXgMsWc0RakjQyc+1L/LiqDgHeDnwYeCnwSOBFSR7Y5nk4cErr778L/G6S7edY785V9ctV9dfA54DHtf2Is4BXV9WG9pl/0/rfz85Rj4OA11TVfm36xe1zVwMvH4i1q/Ts+zWvAT5VVY8Fngi8McmOg8tX1bOBH7bY3jdLXP8D+Hgb+fVophyATvIY4DeBXwAeB/xWkgPa2/sC/1BVjwD+k64fnY9XA7dV1XHznF9aEIcHa6F2oOs4zk13cnI7YNPA+x9sz5cAq9rr7YG3pLvQ/3bgZ1v5k4F/rKofAFTV1DNoPwfcUFXXAiR5D7DlyOUDgNOT7EuXbG3fyg+hJU5VdUWSK2aoxxOTvBq4L7ArXaL4r7PU+5HtCO/OwE50Q07nY7BTmWkdTwJe2GK+HfhOkl3muf6FfM58nAW8nK59X0lLKAeckeSHwAbg95j5bzvVDVW15Uj01cB5VVVJruSu7WRrPAX4xGBBkkcAJ7f3JEn9Mde+xJaDplcCV1fVJoAk1wN70yVTN1bVv7f53kPXd31sjvUO9pV7Ae9rZ2LvBdywiHpcVFWDy708yXPa673pEsBvDbw/237NU4Bn5657adwbeDDdweeFuhg4tSXx/1JV66a8/0vAh6rq+y2OD9Il0WtafFvmH9yXm8vngIOT/GxVfXkRMUuzMmnVQoWuAzl4hve3nNG6nbu2r98HbqY72vdTwH8NrKvm+LyZ3n8D8Omqek4bznP+PJbpPrQ70vlWYHVV3Zju+pp7zxHHacBRVXV5umG5h84x/xbfH8I6AG7j7iMjpsY7lM+pqovSXQf6w6r6cu45avr5VbV2y0Rru+n+tlMNnum8Y2D6DobzPfQ04E0Dce0FfAh44cBZb0lSP8x3X2Kwv9gyvaXPmNrX1zzWO9hX/j3wpqpak+RQ4PUzLHNn/5uuUxy8cdSd62vreDJwcFX9IN39E6bbt5hpHyXAr1TVNTO8P+/YquqCJIcAzwD+Kckbq2rwXhCzXRI12N63M8NlVtO4ADgd+LckTxi4TEcaCocHa6F+BKxMcjBAuusfHzHHMg8ANlXVHcBv0B35hO7M2IsHrkPZdcpyXwL2SfKwNv28Kev8env9ooHyC4Dnt/U9km446lRbOpFvprt281enmWeq+wGb2lHL589j/oWs4zy6Yc0k2S7dtZ3fa/Nv8VVgv3R3KH4A3fWbo4r1BO55hnUmM/1tl0zrqB9FG/6U7s6IHwVOGDgKL0nqj8XsS0z14C3L0+0ffA64ZgHrHdyPOGagfGr/u4G7LjU6krtGdk23vv9oCevP0Q27nWq2/ZqPA7/X+jQGhuvOZtrYkjwE2FxV7wDeRXfp0aALgKOS3LcNQX4O3X0ttkpVfYDuJo0fy8BdiqVhMGnVQt1Bl+SdnORyukRhrlvDvxU4JskX6IaPfh+gqj5GNxRlbZJ1dNc33qmq/otu2MxH092w4KsDb/8l8H+S/Dt3T5TeBuzUhgW/GrhoajBV9Z9015RcCfwL3TCaufwpcCFwLl2nsxgzreMVdMOVr6QbivOIdqfFf283SHhjVd1Id1fdK4AzgMtGFWtV/VtVfXqes0/7tx2VJGcCnwcenmRjkpfQddiXVdWWo9cvo7uG9k9z108qPGiUcUmSFmQx+xJTrafrf66gu8znbVX14wWs9/XAPyf5LN1d57f4V+A5re94At3+wi8nuYjuGtCZ+rmPAStaPG8AvjB1hjn2a95Al3Reke5n3d4wR/2ZJbZDgXVJLqO7JvXNU+K4lG5U1kV0+wvvrKrZ9ivmrareTnep2Jo2sk0aity1nydpW5Ee/OTAsCT5E+C6dhOq+cx/PvCqwWHOkqTJ0S4L+ki7maKWWJLT6Nr/7LnmbfNvoLsk65tzzSvNxGtapW3TrcCxSe4/n7vz9llV/e/5zpvk08BDgZ+MLiJJkpa17wBvSLJbO7M6rXQ/l/N5ujPIdyxVcFqePNMqSZIkSeotr2mVJEmSJPWWSaskSZIkqbdMWiVJkiRJvWXSKkmSJEnqLZNWSZIkSVJvmbRKkiRJknrr/weWKJ8lAzQ8FQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1152x1440 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "columns_array = np.array(columns[1:]) # Convertir la lista de columnas a un arreglo sin el nombre de los materiales\n",
    "columns_reshape = columns_array.reshape(5,2) # Redimensinando el arreglo  \n",
    "\n",
    "fig, ax = plt.subplots(5, 2, figsize=(16,20)) # Se crea la malla subplot\n",
    "fig.subplots_adjust(hspace=0.5, wspace=0.3) #  Espacio entre las gráficas\n",
    "\n",
    "# Ciclo para gráficar los datos\n",
    "for i in range(5):\n",
    "    for j in range(2):\n",
    "        ax[i][j].hist(df[columns_reshape[i][j]])\n",
    "        ax[i][j].set(xlabel=columns_reshape[i][j])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Selección de pareja de Propiedades"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creación de un arreglo para numerar las propiedades\n",
    "\n",
    "propiedades = columns[2:]\n",
    "numero = np.linspace(1,len(propiedades),len(propiedades)).astype(int).tolist()\n",
    "\n",
    "mat = np.array(list(zip(numero,propiedades)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[['1' 'Precio [USD/kg]']\n",
      " ['2' 'Densidad [kg/m^3]']\n",
      " ['3' 'Modulo de Young [GPa]']\n",
      " ['4' 'Esfuerzo de Fluencia [MPa]']\n",
      " ['5' 'Esfuerzo Último [MPa]']\n",
      " ['6' 'Elongación [%]']\n",
      " ['7' 'Dureza [Vickers]']\n",
      " ['8' 'Tenacidad a la fractura [MPa m^1/2]']\n",
      " ['9' 'Temperatura de fusión [K]']]\n",
      " \n",
      "Ingrese el número de la primera propiedad [1-9] (Eje Y): 3\n",
      "Ingrese el número de la segunda propiedad [1-9] (Eje X): 2\n",
      " \n",
      "Usted ha seleccionado Modulo de Young [GPa] (Eje Y) y Densidad [kg/m^3] (Eje X)\n"
     ]
    }
   ],
   "source": [
    "print(mat)\n",
    "print(\" \")\n",
    "\n",
    "N1 = int(input(\"Ingrese el número de la primera propiedad [1-9] (Eje Y): \"))\n",
    "P1 = propiedades[N1-1] # Nombre de la primera propiedad (Y)\n",
    "\n",
    "N2 = int(input(\"Ingrese el número de la segunda propiedad [1-9] (Eje X): \"))\n",
    "P2 = propiedades[N2-1] # Nombre de la segunda propiedad (Y)\n",
    "print(\" \")\n",
    "print(\"Usted ha seleccionado {} (Eje Y) y {} (Eje X)\".format(P1,P2))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/latex": [
       "$\\displaystyle \\left[ C, \\  \\rho, \\  E, \\  \\sigma_{y}, \\  \\sigma_{U}, \\  L, \\  H, \\  K_{IC}, \\  T_{F}\\right]$"
      ],
      "text/plain": [
       "[C, ρ, E, σ_y, σ_U, L, H, K_{IC}, T_F]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Siglas de las propieades de la base de datos\n",
    "siglas = symbols([\"C\",\"rho\",\"E\",\"sigma_y\",\"sigma_U\",\"L\",\"H\",\"K_{IC}\",\"T_F\"])\n",
    "siglas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/latex": [
       "$\\displaystyle \\left( E, \\  \\rho\\right)$"
      ],
      "text/plain": [
       "(E, ρ)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Definición de las siglas de las propiedades ingresadas por el usuario\n",
    "s1 = siglas[N1-1]\n",
    "s2 = siglas[N2-1]\n",
    "s1,s2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Definición Índice de Materiales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "El exponente de Modulo de Young [GPa] es fracción [Y/N]: Y\n",
      "Ingrese el exponente de Modulo de Young [GPa]: 1/2\n",
      "El exponente de Densidad [kg/m^3] es fracción [Y/N]: N\n",
      "Ingrese el exponente de Densidad [kg/m^3]: -1\n"
     ]
    }
   ],
   "source": [
    "# Exponente Propiedad 1\n",
    "fr1 = input(\"El exponente de {} es fracción [Y/N]: \".format(P1))\n",
    "if fr1 == \"Y\":\n",
    "    num1, den1 = input(\"Ingrese el exponente de {}: \".format(P1)).split(\"/\")\n",
    "    exp1 = int(num1)/int(den1)\n",
    "else:\n",
    "    exp1 = int(input(\"Ingrese el exponente de {}: \".format(P1)))\n",
    "    \n",
    "# Exponente Propiedad 2\n",
    "fr2 = input(\"El exponente de {} es fracción [Y/N]: \".format(P2))\n",
    "if fr2 == \"Y\":\n",
    "    num2, den2 = input(\"Ingrese el exponente de {}: \".format(P2)).split(\"/\")\n",
    "    exp2 = int(num2)/int(den2)\n",
    "else:\n",
    "    exp2 = int(input(\"Ingrese el exponente de {}: \".format(P2)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "El índice es:\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/latex": [
       "$\\displaystyle \\frac{E^{0.5}}{\\rho}$"
      ],
      "text/plain": [
       " 0.5\n",
       "E   \n",
       "────\n",
       " ρ  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"El índice es:\")\n",
    "indice = (s1**(exp1))*(s2**(exp2))\n",
    "indice"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Definción orientación de búsqueda"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'max-min'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "if exp1 > 0 and exp2 > 0:\n",
    "    ori = \"max-max\"\n",
    "elif exp1 > 0 and exp2 <0:\n",
    "    ori = \"max-min\"\n",
    "elif exp1 < 0 and exp2 > 0:\n",
    "    ori = \"min-max\"\n",
    "else:\n",
    "    ori = \"min-min\"\n",
    "ori"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ajuste de base de datos con base en los índices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>Nombre</th>\n",
       "      <th>Familia</th>\n",
       "      <th>Precio [USD/kg]</th>\n",
       "      <th>Densidad [kg/m^3]</th>\n",
       "      <th>Modulo de Young [GPa]</th>\n",
       "      <th>Esfuerzo de Fluencia [MPa]</th>\n",
       "      <th>Esfuerzo Último [MPa]</th>\n",
       "      <th>Elongación [%]</th>\n",
       "      <th>Dureza [Vickers]</th>\n",
       "      <th>Tenacidad a la fractura [MPa m^1/2]</th>\n",
       "      <th>Temperatura de fusión [K]</th>\n",
       "      <th>Indice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aerogel</td>\n",
       "      <td>Cerámicos</td>\n",
       "      <td>120.00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.0003</td>\n",
       "      <td>0.016</td>\n",
       "      <td>0.0002</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.80</td>\n",
       "      <td>773.00</td>\n",
       "      <td>0.003162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Manta Aislamiento Zirconia-alumina</td>\n",
       "      <td>Cerámicos</td>\n",
       "      <td>130.00</td>\n",
       "      <td>96.0</td>\n",
       "      <td>205.000</td>\n",
       "      <td>400.0000</td>\n",
       "      <td>1400.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>5.60</td>\n",
       "      <td>2281.15</td>\n",
       "      <td>0.149144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>OXIDO DE SILICIO</td>\n",
       "      <td>Cerámicos</td>\n",
       "      <td>8.00</td>\n",
       "      <td>180.0</td>\n",
       "      <td>66.300</td>\n",
       "      <td>NaN</td>\n",
       "      <td>300.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3500.0</td>\n",
       "      <td>0.67</td>\n",
       "      <td>1988.15</td>\n",
       "      <td>0.045236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Acetato Butirado de Celulosa</td>\n",
       "      <td>Cerámicos</td>\n",
       "      <td>164.00</td>\n",
       "      <td>800.0</td>\n",
       "      <td>50.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>300.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>340.0</td>\n",
       "      <td>2.50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.008839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bentonita</td>\n",
       "      <td>Cerámicos</td>\n",
       "      <td>3.12</td>\n",
       "      <td>1360.0</td>\n",
       "      <td>2.000</td>\n",
       "      <td>1.5600</td>\n",
       "      <td>55.000</td>\n",
       "      <td>20.0000</td>\n",
       "      <td>250.0</td>\n",
       "      <td>3.40</td>\n",
       "      <td>1473.15</td>\n",
       "      <td>0.001040</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Nombre    Familia  Precio [USD/kg]  \\\n",
       "0                             Aerogel  Cerámicos           120.00   \n",
       "1  Manta Aislamiento Zirconia-alumina  Cerámicos           130.00   \n",
       "2                    OXIDO DE SILICIO  Cerámicos             8.00   \n",
       "3        Acetato Butirado de Celulosa  Cerámicos           164.00   \n",
       "4                           Bentonita  Cerámicos             3.12   \n",
       "\n",
       "   Densidad [kg/m^3]  Modulo de Young [GPa]  Esfuerzo de Fluencia [MPa]  \\\n",
       "0               10.0                  0.001                      0.0003   \n",
       "1               96.0                205.000                    400.0000   \n",
       "2              180.0                 66.300                         NaN   \n",
       "3              800.0                 50.000                         NaN   \n",
       "4             1360.0                  2.000                      1.5600   \n",
       "\n",
       "   Esfuerzo Último [MPa]  Elongación [%]  Dureza [Vickers]  \\\n",
       "0                  0.016          0.0002               1.0   \n",
       "1               1400.000             NaN             100.0   \n",
       "2                300.000             NaN            3500.0   \n",
       "3                300.000             NaN             340.0   \n",
       "4                 55.000         20.0000             250.0   \n",
       "\n",
       "   Tenacidad a la fractura [MPa m^1/2]  Temperatura de fusión [K]    Indice  \n",
       "0                                 4.80                     773.00  0.003162  \n",
       "1                                 5.60                    2281.15  0.149144  \n",
       "2                                 0.67                    1988.15  0.045236  \n",
       "3                                 2.50                        NaN  0.008839  \n",
       "4                                 3.40                    1473.15  0.001040  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Indice\"] = (df[P1]**exp1)*(df[P2]**exp2)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/latex": [
       "$\\displaystyle \\left( E, \\  0.001, \\  670.0\\right)$"
      ],
      "text/plain": [
       "(E, 0.001, 670.0)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Valores Máximos y Mínimos de la Propiedad 1\n",
    "max1 = df[P1].max()\n",
    "min1 = df[P1].min()\n",
    "\n",
    "s1,min1,max1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/latex": [
       "$\\displaystyle \\left( \\rho, \\  1.1, \\  21500.0\\right)$"
      ],
      "text/plain": [
       "(ρ, 1.1, 21500.0)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Valores Máximos y Mínimos de la Propiedad 2\n",
    "max2 = df[P2].max()\n",
    "min2 = df[P2].min()\n",
    "\n",
    "s2,min2,max2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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>Nombre</th>\n",
       "      <th>Familia</th>\n",
       "      <th>Precio [USD/kg]</th>\n",
       "      <th>Densidad [kg/m^3]</th>\n",
       "      <th>Modulo de Young [GPa]</th>\n",
       "      <th>Esfuerzo de Fluencia [MPa]</th>\n",
       "      <th>Esfuerzo Último [MPa]</th>\n",
       "      <th>Elongación [%]</th>\n",
       "      <th>Dureza [Vickers]</th>\n",
       "      <th>Tenacidad a la fractura [MPa m^1/2]</th>\n",
       "      <th>Temperatura de fusión [K]</th>\n",
       "      <th>Indice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>Silicon RTV  Room Temperature Vulcanizing</td>\n",
       "      <td>Polimeros</td>\n",
       "      <td>6.8</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.05</td>\n",
       "      <td>30.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>457.0</td>\n",
       "      <td>0.70</td>\n",
       "      <td>478.15</td>\n",
       "      <td>0.203279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Manta Aislamiento Zirconia-alumina</td>\n",
       "      <td>Cerámicos</td>\n",
       "      <td>130.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>205.00</td>\n",
       "      <td>400.0</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>5.60</td>\n",
       "      <td>2281.15</td>\n",
       "      <td>0.149144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>Poliestireno (PS)</td>\n",
       "      <td>Polimeros</td>\n",
       "      <td>0.8</td>\n",
       "      <td>30.0</td>\n",
       "      <td>3.20</td>\n",
       "      <td>30.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0.40</td>\n",
       "      <td>543.15</td>\n",
       "      <td>0.059628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>OXIDO DE SILICIO</td>\n",
       "      <td>Cerámicos</td>\n",
       "      <td>8.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>66.30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3500.0</td>\n",
       "      <td>0.67</td>\n",
       "      <td>1988.15</td>\n",
       "      <td>0.045236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Cymat A35620SC 020SS Stabilized Aluminum Foam</td>\n",
       "      <td>Compuestos</td>\n",
       "      <td>13.7</td>\n",
       "      <td>200.1</td>\n",
       "      <td>24.00</td>\n",
       "      <td>53.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>9.2</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1.94</td>\n",
       "      <td>573.00</td>\n",
       "      <td>0.024483</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            Nombre     Familia  \\\n",
       "301      Silicon RTV  Room Temperature Vulcanizing   Polimeros   \n",
       "1               Manta Aislamiento Zirconia-alumina   Cerámicos   \n",
       "302                              Poliestireno (PS)   Polimeros   \n",
       "2                                 OXIDO DE SILICIO   Cerámicos   \n",
       "100  Cymat A35620SC 020SS Stabilized Aluminum Foam  Compuestos   \n",
       "\n",
       "     Precio [USD/kg]  Densidad [kg/m^3]  Modulo de Young [GPa]  \\\n",
       "301              6.8                1.1                   0.05   \n",
       "1              130.0               96.0                 205.00   \n",
       "302              0.8               30.0                   3.20   \n",
       "2                8.0              180.0                  66.30   \n",
       "100             13.7              200.1                  24.00   \n",
       "\n",
       "     Esfuerzo de Fluencia [MPa]  Esfuerzo Último [MPa]  Elongación [%]  \\\n",
       "301                        30.0                  165.0           145.0   \n",
       "1                         400.0                 1400.0             NaN   \n",
       "302                        30.0                   50.0             2.5   \n",
       "2                           NaN                  300.0             NaN   \n",
       "100                        53.0                   70.0             9.2   \n",
       "\n",
       "     Dureza [Vickers]  Tenacidad a la fractura [MPa m^1/2]  \\\n",
       "301             457.0                                 0.70   \n",
       "1               100.0                                 5.60   \n",
       "302              75.0                                 0.40   \n",
       "2              3500.0                                 0.67   \n",
       "100              12.0                                 1.94   \n",
       "\n",
       "     Temperatura de fusión [K]    Indice  \n",
       "301                     478.15  0.203279  \n",
       "1                      2281.15  0.149144  \n",
       "302                     543.15  0.059628  \n",
       "2                      1988.15  0.045236  \n",
       "100                     573.00  0.024483  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Reordernar dataframe con base en los índices\n",
    "df_ind = df.sort_values(by='Indice', ascending=False)\n",
    "df_ind.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Flitrado y Clasificación de materiales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ingrese el número de Materiales a Filtrar: 20\n"
     ]
    }
   ],
   "source": [
    "# Cantidad de Materiales a Filtrar\n",
    "mat = int(input(\"Ingrese el número de Materiales a Filtrar: \"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>Nombre</th>\n",
       "      <th>Familia</th>\n",
       "      <th>Precio [USD/kg]</th>\n",
       "      <th>Densidad [kg/m^3]</th>\n",
       "      <th>Modulo de Young [GPa]</th>\n",
       "      <th>Esfuerzo de Fluencia [MPa]</th>\n",
       "      <th>Esfuerzo Último [MPa]</th>\n",
       "      <th>Elongación [%]</th>\n",
       "      <th>Dureza [Vickers]</th>\n",
       "      <th>Tenacidad a la fractura [MPa m^1/2]</th>\n",
       "      <th>Temperatura de fusión [K]</th>\n",
       "      <th>Indice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>Silicon RTV  Room Temperature Vulcanizing</td>\n",
       "      <td>Polimeros</td>\n",
       "      <td>6.80</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.05</td>\n",
       "      <td>30.00</td>\n",
       "      <td>165.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>457.0</td>\n",
       "      <td>0.70</td>\n",
       "      <td>478.15</td>\n",
       "      <td>0.203279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Manta Aislamiento Zirconia-alumina</td>\n",
       "      <td>Cerámicos</td>\n",
       "      <td>130.00</td>\n",
       "      <td>96.0</td>\n",
       "      <td>205.00</td>\n",
       "      <td>400.00</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>5.60</td>\n",
       "      <td>2281.15</td>\n",
       "      <td>0.149144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>Poliestireno (PS)</td>\n",
       "      <td>Polimeros</td>\n",
       "      <td>0.80</td>\n",
       "      <td>30.0</td>\n",
       "      <td>3.20</td>\n",
       "      <td>30.00</td>\n",
       "      <td>50.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0.40</td>\n",
       "      <td>543.15</td>\n",
       "      <td>0.059628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>OXIDO DE SILICIO</td>\n",
       "      <td>Cerámicos</td>\n",
       "      <td>8.00</td>\n",
       "      <td>180.0</td>\n",
       "      <td>66.30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3500.0</td>\n",
       "      <td>0.67</td>\n",
       "      <td>1988.15</td>\n",
       "      <td>0.045236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Cymat A35620SC 020SS Stabilized Aluminum Foam</td>\n",
       "      <td>Compuestos</td>\n",
       "      <td>13.70</td>\n",
       "      <td>200.1</td>\n",
       "      <td>24.00</td>\n",
       "      <td>53.00</td>\n",
       "      <td>70.0</td>\n",
       "      <td>9.2</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1.94</td>\n",
       "      <td>573.00</td>\n",
       "      <td>0.024483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>S3X7(Carburo cementado)</td>\n",
       "      <td>Compuestos</td>\n",
       "      <td>45.00</td>\n",
       "      <td>1245.0</td>\n",
       "      <td>530.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2150.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1560.0</td>\n",
       "      <td>10.70</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.018491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>S267</td>\n",
       "      <td>Compuestos</td>\n",
       "      <td>46.00</td>\n",
       "      <td>1220.0</td>\n",
       "      <td>505.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1750.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1570.0</td>\n",
       "      <td>10.80</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.018420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>S26T</td>\n",
       "      <td>Compuestos</td>\n",
       "      <td>75.00</td>\n",
       "      <td>1220.0</td>\n",
       "      <td>505.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1570.0</td>\n",
       "      <td>10.80</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.018420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>KCR10</td>\n",
       "      <td>Compuestos</td>\n",
       "      <td>20.00</td>\n",
       "      <td>1515.0</td>\n",
       "      <td>660.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2800.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1780.0</td>\n",
       "      <td>10.10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.016957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>CTU08L</td>\n",
       "      <td>Compuestos</td>\n",
       "      <td>89.00</td>\n",
       "      <td>1505.0</td>\n",
       "      <td>646.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2300.0</td>\n",
       "      <td>8.40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.016888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>CTM14E</td>\n",
       "      <td>Compuestos</td>\n",
       "      <td>16.00</td>\n",
       "      <td>1490.0</td>\n",
       "      <td>615.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1550.0</td>\n",
       "      <td>10.40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.016644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>KCR32</td>\n",
       "      <td>Compuestos</td>\n",
       "      <td>26.00</td>\n",
       "      <td>1450.0</td>\n",
       "      <td>580.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>321.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1140.0</td>\n",
       "      <td>16.50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.016609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>CTS30D</td>\n",
       "      <td>Compuestos</td>\n",
       "      <td>100.00</td>\n",
       "      <td>1384.0</td>\n",
       "      <td>512.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1425.0</td>\n",
       "      <td>12.20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.016349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>CTF40A</td>\n",
       "      <td>Compuestos</td>\n",
       "      <td>18.00</td>\n",
       "      <td>1360.0</td>\n",
       "      <td>490.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>321.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1070.0</td>\n",
       "      <td>18.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.016276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>GC32 (cemented carbide)</td>\n",
       "      <td>Compuestos</td>\n",
       "      <td>100.00</td>\n",
       "      <td>1540.0</td>\n",
       "      <td>580.00</td>\n",
       "      <td>2600.00</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1130.0</td>\n",
       "      <td>18.00</td>\n",
       "      <td>1000.00</td>\n",
       "      <td>0.015638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>\\tTungsten Carbide</td>\n",
       "      <td>Metales</td>\n",
       "      <td>38.29</td>\n",
       "      <td>1480.0</td>\n",
       "      <td>420.00</td>\n",
       "      <td>167.00</td>\n",
       "      <td>64.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>287.0</td>\n",
       "      <td>27.00</td>\n",
       "      <td>3058.15</td>\n",
       "      <td>0.013847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>Madera de fresno negro americano</td>\n",
       "      <td>Compuestos</td>\n",
       "      <td>3.00</td>\n",
       "      <td>460.0</td>\n",
       "      <td>34.00</td>\n",
       "      <td>70.03</td>\n",
       "      <td>96.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2400.0</td>\n",
       "      <td>6.90</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.012676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Compuestos aplicados 8007 Poliéster SMC</td>\n",
       "      <td>Compuestos</td>\n",
       "      <td>1.77</td>\n",
       "      <td>247.0</td>\n",
       "      <td>8.96</td>\n",
       "      <td>43.70</td>\n",
       "      <td>89.6</td>\n",
       "      <td>0.7</td>\n",
       "      <td>67.0</td>\n",
       "      <td>1.80</td>\n",
       "      <td>477.00</td>\n",
       "      <td>0.012119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>\\tTungsteno</td>\n",
       "      <td>Metales</td>\n",
       "      <td>21.00</td>\n",
       "      <td>1930.0</td>\n",
       "      <td>400.00</td>\n",
       "      <td>156.00</td>\n",
       "      <td>47.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>310.0</td>\n",
       "      <td>30.00</td>\n",
       "      <td>3610.15</td>\n",
       "      <td>0.010363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>Celulosa</td>\n",
       "      <td>Polimeros</td>\n",
       "      <td>0.50</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1.60</td>\n",
       "      <td>40.00</td>\n",
       "      <td>50.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>63.0</td>\n",
       "      <td>1.57</td>\n",
       "      <td>340.15</td>\n",
       "      <td>0.009730</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            Nombre     Familia  \\\n",
       "301      Silicon RTV  Room Temperature Vulcanizing   Polimeros   \n",
       "1               Manta Aislamiento Zirconia-alumina   Cerámicos   \n",
       "302                              Poliestireno (PS)   Polimeros   \n",
       "2                                 OXIDO DE SILICIO   Cerámicos   \n",
       "100  Cymat A35620SC 020SS Stabilized Aluminum Foam  Compuestos   \n",
       "122                        S3X7(Carburo cementado)  Compuestos   \n",
       "119                                           S267  Compuestos   \n",
       "118                                           S26T  Compuestos   \n",
       "148                                          KCR10  Compuestos   \n",
       "147                                         CTU08L  Compuestos   \n",
       "145                                         CTM14E  Compuestos   \n",
       "141                                          KCR32  Compuestos   \n",
       "135                                         CTS30D  Compuestos   \n",
       "131                                         CTF40A  Compuestos   \n",
       "149                        GC32 (cemented carbide)  Compuestos   \n",
       "201                             \\tTungsten Carbide     Metales   \n",
       "105               Madera de fresno negro americano  Compuestos   \n",
       "101        Compuestos aplicados 8007 Poliéster SMC  Compuestos   \n",
       "205                                    \\tTungsteno     Metales   \n",
       "303                                       Celulosa   Polimeros   \n",
       "\n",
       "     Precio [USD/kg]  Densidad [kg/m^3]  Modulo de Young [GPa]  \\\n",
       "301             6.80                1.1                   0.05   \n",
       "1             130.00               96.0                 205.00   \n",
       "302             0.80               30.0                   3.20   \n",
       "2               8.00              180.0                  66.30   \n",
       "100            13.70              200.1                  24.00   \n",
       "122            45.00             1245.0                 530.00   \n",
       "119            46.00             1220.0                 505.00   \n",
       "118            75.00             1220.0                 505.00   \n",
       "148            20.00             1515.0                 660.00   \n",
       "147            89.00             1505.0                 646.00   \n",
       "145            16.00             1490.0                 615.00   \n",
       "141            26.00             1450.0                 580.00   \n",
       "135           100.00             1384.0                 512.00   \n",
       "131            18.00             1360.0                 490.00   \n",
       "149           100.00             1540.0                 580.00   \n",
       "201            38.29             1480.0                 420.00   \n",
       "105             3.00              460.0                  34.00   \n",
       "101             1.77              247.0                   8.96   \n",
       "205            21.00             1930.0                 400.00   \n",
       "303             0.50              130.0                   1.60   \n",
       "\n",
       "     Esfuerzo de Fluencia [MPa]  Esfuerzo Último [MPa]  Elongación [%]  \\\n",
       "301                       30.00                  165.0           145.0   \n",
       "1                        400.00                 1400.0             NaN   \n",
       "302                       30.00                   50.0             2.5   \n",
       "2                           NaN                  300.0             NaN   \n",
       "100                       53.00                   70.0             9.2   \n",
       "122                         NaN                 2150.0             NaN   \n",
       "119                         NaN                 1750.0             NaN   \n",
       "118                         NaN                 1500.0             NaN   \n",
       "148                         NaN                 2800.0             NaN   \n",
       "147                         NaN                 3000.0             NaN   \n",
       "145                         NaN                  100.0             NaN   \n",
       "141                         NaN                  321.0             NaN   \n",
       "135                         NaN                 4300.0             NaN   \n",
       "131                         NaN                  321.0             NaN   \n",
       "149                     2600.00                 4000.0             NaN   \n",
       "201                      167.00                   64.0            71.0   \n",
       "105                       70.03                   96.0             NaN   \n",
       "101                       43.70                   89.6             0.7   \n",
       "205                      156.00                   47.0            53.0   \n",
       "303                       40.00                   50.0             1.3   \n",
       "\n",
       "     Dureza [Vickers]  Tenacidad a la fractura [MPa m^1/2]  \\\n",
       "301             457.0                                 0.70   \n",
       "1               100.0                                 5.60   \n",
       "302              75.0                                 0.40   \n",
       "2              3500.0                                 0.67   \n",
       "100              12.0                                 1.94   \n",
       "122            1560.0                                10.70   \n",
       "119            1570.0                                10.80   \n",
       "118            1570.0                                10.80   \n",
       "148            1780.0                                10.10   \n",
       "147            2300.0                                 8.40   \n",
       "145            1550.0                                10.40   \n",
       "141            1140.0                                16.50   \n",
       "135            1425.0                                12.20   \n",
       "131            1070.0                                18.00   \n",
       "149            1130.0                                18.00   \n",
       "201             287.0                                27.00   \n",
       "105            2400.0                                 6.90   \n",
       "101              67.0                                 1.80   \n",
       "205             310.0                                30.00   \n",
       "303              63.0                                 1.57   \n",
       "\n",
       "     Temperatura de fusión [K]    Indice  \n",
       "301                     478.15  0.203279  \n",
       "1                      2281.15  0.149144  \n",
       "302                     543.15  0.059628  \n",
       "2                      1988.15  0.045236  \n",
       "100                     573.00  0.024483  \n",
       "122                        NaN  0.018491  \n",
       "119                        NaN  0.018420  \n",
       "118                        NaN  0.018420  \n",
       "148                        NaN  0.016957  \n",
       "147                        NaN  0.016888  \n",
       "145                        NaN  0.016644  \n",
       "141                        NaN  0.016609  \n",
       "135                        NaN  0.016349  \n",
       "131                        NaN  0.016276  \n",
       "149                    1000.00  0.015638  \n",
       "201                    3058.15  0.013847  \n",
       "105                        NaN  0.012676  \n",
       "101                     477.00  0.012119  \n",
       "205                    3610.15  0.010363  \n",
       "303                     340.15  0.009730  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dataframe filtrado de acuerdo con el número de materiales\n",
    "df_filt = df_ind.head(mat)\n",
    "df_filt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cálculo línea de filtrado"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Se calcula la constante de proporción c = P1^(exp1)*P2^(exp2)\n",
    "c = (df_filt[P1].iloc[-1])**(exp1)*(df_filt[P2].iloc[-1])**(exp2) \n",
    "\n",
    "# Se calculan los valores máximos y mínimos de la línea \n",
    "ymin = (c/(min2**(exp2)))**(1/exp1)\n",
    "ymax = (c/(max2**(exp2)))**(1/exp1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Gráfica pareja propiedades"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Contorno que definen los puntos de materiales\n",
    "\n",
    "df1 = df[[\"Familia\",P2,P1]] # Datafame de solo la pareja de propiedades\n",
    "df1 = df1.dropna() # Borrar todos los NaN\n",
    "materiales = df1.to_numpy() # Convertir a un arreglo\n",
    "\n",
    "# Coordenadas del contorno\n",
    "puntos_ceramicos = []\n",
    "puntos_compuestos = []\n",
    "puntos_polimeros = []\n",
    "puntos_metales = []\n",
    "\n",
    "# Separación de puntos por materiales \n",
    "for i in range(len(materiales)):\n",
    "    if materiales[i][0] == \"Cerámicos\":\n",
    "        puntos_ceramicos.append(materiales[i][1:])\n",
    "    elif materiales[i][0] == \"Compuestos\":\n",
    "        puntos_compuestos.append(materiales[i][1:])\n",
    "    elif materiales[i][0] == \"Polimeros\":\n",
    "        puntos_polimeros.append(materiales[i][1:])\n",
    "    elif materiales[i][0] == \"Metales\":\n",
    "        puntos_metales.append(materiales[i][1:])\n",
    "        \n",
    "# Creación de los contornos\n",
    "hull_ceramicos = ConvexHull(puntos_ceramicos)\n",
    "hull_compuestos = ConvexHull(puntos_compuestos)\n",
    "hull_polimeros = ConvexHull(puntos_polimeros)\n",
    "hull_metales = ConvexHull(puntos_metales)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# La gráfica no queda Inline para poder hacer zoom \n",
    "%matplotlib inline\n",
    "\n",
    "f, ax = plt.subplots(figsize=(16, 9)) #Se define el tamaño de la gráfica\n",
    "\n",
    "ax.set(xscale=\"log\", yscale=\"log\", xlim = (min2, max2), ylim = (min1, max1)) # Se establece el tipo de escala y limites \n",
    "\n",
    "sns.scatterplot(x=P2, y=P1, data=df, hue=\"Familia\", s = 100, alpha = 0.5) # Se gráfican los punto de materiales\n",
    "\n",
    "ax.plot([min2,max2],[ymin,ymax],\"k\") # Se gráfica la línea de filtrado negro\n",
    "\n",
    "# Sombreado de selección hacia arriba\n",
    "if ori == \"max-min\" or ori == \"max-max\":\n",
    "    # x valores de x, y1 valores de la linea, y2 dirección de sombreado, color hexadecial, zorder = 0 evita borrar puntos sns\n",
    "    ax.fill_between(x = [min2, max2], y1 = [ymin, ymax], y2=[max1,max1], color=\"#d7e8d5\", zorder = 0) # verde selección\n",
    "    ax.fill_between(x = [min2, max2], y1 = [ymin, ymax], y2=[min1,min1], color=\"#d3d3d3\", zorder = 0) # gris no selección\n",
    "\n",
    "# Sombreado de selección hacia abajo\n",
    "elif ori == \"min-max\" or ori == \"min-min\":\n",
    "    # x valores de x, y1 valores de la linea, y2 dirección de sombreado, color hexadecial, zorder = 0 evita borrar puntos sns\n",
    "    ax.fill_between(x = [min2, max2], y1 = [ymin, ymax], y2=[max1,max1], color=\"#d3d3d3\", zorder = 0) # gris no selección\n",
    "    ax.fill_between(x = [min2, max2], y1 = [ymin, ymax], y2=[min1,min1], color=\"#d7e8d5\", zorder = 0) # verde selección\n",
    "    \n",
    "ax.grid() # Malla"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# La gráfica no queda Inline para poder hacer zoom \n",
    "%matplotlib inline\n",
    "\n",
    "f, ax = plt.subplots(figsize=(16, 9)) #Se define el tamaño de la gráfica\n",
    "\n",
    "ax.set(xscale=\"log\", yscale=\"log\", xlim = (min2, max2), ylim = (min1, max1)) # Se establece el tipo de escala y limites \n",
    "\n",
    "sns.scatterplot(x=P2, y=P1, data=df, hue=\"Familia\", s = 100, alpha = 0.5) # Se gráfican los punto de materiales\n",
    "\n",
    "ax.plot([min2,max2],[ymin,ymax],\"k\") # Se gráfica la línea de filtrado negro\n",
    "\n",
    "# Sombreado de selección hacia arriba\n",
    "if ori == \"max-min\" or ori == \"max-max\":\n",
    "    # x valores de x, y1 valores de la linea, y2 dirección de sombreado, color hexadecial, zorder = 0 evita borrar puntos sns\n",
    "    ax.fill_between(x = [min2, max2], y1 = [ymin, ymax], y2=[max1,max1], color=\"#d7e8d5\", zorder = 0) # verde selección\n",
    "    ax.fill_between(x = [min2, max2], y1 = [ymin, ymax], y2=[min1,min1], color=\"#d3d3d3\", zorder = 0) # gris no selección\n",
    "\n",
    "# Sombreado de selección hacia abajo\n",
    "elif ori == \"min-max\" or ori == \"min-min\":\n",
    "    # x valores de x, y1 valores de la linea, y2 dirección de sombreado, color hexadecial, zorder = 0 evita borrar puntos sns\n",
    "    ax.fill_between(x = [min2, max2], y1 = [ymin, ymax], y2=[max1,max1], color=\"#d3d3d3\", zorder = 0) # gris no selección\n",
    "    ax.fill_between(x = [min2, max2], y1 = [ymin, ymax], y2=[min1,min1], color=\"#d7e8d5\", zorder = 0) # verde selección\n",
    "\n",
    "    \n",
    "# Gráfica de los contornos \n",
    "for simplex in hull_ceramicos.simplices:\n",
    "    plt.plot(np.array(puntos_ceramicos, dtype = \"float\")[simplex,0], \n",
    "             np.array(puntos_ceramicos, dtype = \"float\")[simplex,1], \n",
    "             color = \"#0476D0\", label = \"Cerámicos\")\n",
    "    \n",
    "for simplex in hull_compuestos.simplices:\n",
    "    plt.plot(np.array(puntos_compuestos, dtype = \"float\")[simplex,0], \n",
    "             np.array(puntos_compuestos, dtype = \"float\")[simplex,1], \n",
    "             color = \"#FFA500\")\n",
    "\n",
    "for simplex in hull_metales.simplices:\n",
    "    plt.plot(np.array(puntos_metales, dtype = \"float\")[simplex,0], \n",
    "             np.array(puntos_metales, dtype = \"float\")[simplex,1], \n",
    "             color = \"#50C878\")\n",
    "    \n",
    "for simplex in hull_polimeros.simplices:\n",
    "    plt.plot(np.array(puntos_polimeros, dtype = \"float\")[simplex,0], \n",
    "             np.array(puntos_polimeros, dtype = \"float\")[simplex,1], \n",
    "             color = \"#FF0000\")\n",
    "    \n",
    "ax.grid() # Malla"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}