{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "LmcpoSbZatTM"
   },
   "source": [
    "## **Presentación del Dataset**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "t6quQ93Xazc0"
   },
   "source": [
    "Este conjunto de datos es un registro detallado de transacciones financieras realizadas con tarjetas de crédito, diseñado para el análisis y detección de fraudes. Contiene 555,719 instancias y 22 atributos, abarcando tanto datos categóricos como numéricos. No presenta valores nulos, asegurando la integridad y completitud del conjunto de datos.\n",
    "El conjunto de datos lo usaremos para el análisis de fraudes en transacciones con tarjetas de crédito, buscando identificar patrones y características comunes en las transacciones fraudulentas en comparación con las legítimas."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "KAGopiJ3OLo5"
   },
   "source": [
    "\n",
    "## **Atributos**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "z4wp8daeZhaU"
   },
   "source": [
    "*   **trans_date_trans_time:** Fecha y hora de la transacción.\n",
    "*   **cc_num:** Número de la tarjeta de crédito.\n",
    "*   **merchant:** La empresa o negocio envuelta en la transacción.\n",
    "*   **category:** Categoría del producto o servicio adquirido.\n",
    "*   **amt:** Monto de la transacción.\n",
    "*   **first:** Nombre del dueño de la tarjeta de crédito.\n",
    "*   **last:** Apellido del dueño de la tarjeta de crédito.\n",
    "*   **gender:** Género del dueño de la tarjeta.\n",
    "*   **street:** Dirección del dueño de la tarjeta.\n",
    "* **city:** Ciudad del dueño de la tarjeta.\n",
    "* **state:** Estado del dueño de la tarjeta.\n",
    "* **zip:** Código zip del dueño de la tarjeta.\n",
    "* **lat:** Latitud de la ubicación del dueño.\n",
    "* **long:** Longitud de la ubicación del dueño.\n",
    "* **city_pop:** Población de la ciudad donde vive el dueño.\n",
    "* **job:** Puesto de trabajo del titular de la tarjeta\n",
    "* **dob:** Fecha de nacimiento del dueño de la tarjeta.\n",
    "* **trans_num:** ID de la transacción.\n",
    "* **unix_time:** Momento de la transacción en formato Unix.\n",
    "* **merch_lat:** Latitud de la empresa.\n",
    "* **merch_long:** Longitud de la empresa.\n",
    "* **is_fraud:** Indicador de transacción fraudulenta (1=fraudulento, 0=legítimo)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "TB2pJw-faGuk"
   },
   "source": [
    "## **Montado del Dataset e importación de librerías**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "trPHLpreZSMX"
   },
   "source": [
    "Para empezar, importaremos las librerías necesarias para cargar y trabajar sobre nuestro Dataset. Usaremos:\n",
    "\n",
    "\n",
    "*   Pandas para manipular y analizar los datos.\n",
    "*   NumPy para el cálculo numérico en Python.\n",
    "*   Seaborn, que nos proporciona una interfaz para crear gráficos estadísticos.\n",
    "*   Matplotlib, que es una biblioteca que nos permite también la cración de gráficos.\n",
    "* datetime, para el manejo de fechas\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "3J-uOxMn9GRo"
   },
   "outputs": [],
   "source": [
    "from datetime import datetime, date\n",
    "from time import time\n",
    "from google.colab import drive\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "from shapely.geometry import Point\n",
    "import geopandas as gpd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.pylab as pylab\n",
    "import seaborn as sns\n",
    "\n",
    "from geopandas import GeoDataFrame\n",
    "\n",
    "from sklearn.metrics import confusion_matrix, roc_curve, auc\n",
    "from sklearn.model_selection import train_test_split, RandomizedSearchCV\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import accuracy_score, f1_score, precision_score, recall_score, classification_report, precision_recall_curve\n",
    "import xgboost as xgb\n",
    "from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier\n",
    "from sklearn.tree import DecisionTreeClassifier"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "1sV11GAXL9Ya"
   },
   "source": [
    "El acceso directo a nuestro conjunto de datos está alojado en la carpeta base de nuestra cuenta de Drive."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 12546,
     "status": "ok",
     "timestamp": 1719768417710,
     "user": {
      "displayName": "Franco Giordano",
      "userId": "11864357500095360887"
     },
     "user_tz": 180
    },
    "id": "hIIwRteMWSVn",
    "outputId": "5c4a0cc6-3021-4eb5-e554-88ec69b23f25"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
     ]
    }
   ],
   "source": [
    "drive.mount('/content/drive')\n",
    "data = pd.read_csv(\"/content/drive/MyDrive/datasets/fraud_test.csv\", index_col=[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "kzgbM68qPRmp"
   },
   "source": [
    "## **Análisis Introductorio del Dataset**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "NFgztWO_Nxfv"
   },
   "source": [
    "Hacemos uso de *.info* para obtener una visión rápida de la estructura de los datos que incluye el número de registros, los nombres de las columnas, el tipo de dato para cada una y la cantidad de valores no nulos por columna."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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    },
    "executionInfo": {
     "elapsed": 1060,
     "status": "ok",
     "timestamp": 1719768418733,
     "user": {
      "displayName": "Franco Giordano",
      "userId": "11864357500095360887"
     },
     "user_tz": 180
    },
    "id": "PIzHwbslLKAY",
    "outputId": "d920a186-67e9-4376-9f95-80f34a1e0975"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 555719 entries, 0 to 555718\n",
      "Data columns (total 22 columns):\n",
      " #   Column                 Non-Null Count   Dtype  \n",
      "---  ------                 --------------   -----  \n",
      " 0   trans_date_trans_time  555719 non-null  object \n",
      " 1   cc_num                 555719 non-null  float64\n",
      " 2   merchant               555719 non-null  object \n",
      " 3   category               555719 non-null  object \n",
      " 4   amt                    555719 non-null  float64\n",
      " 5   first                  555719 non-null  object \n",
      " 6   last                   555719 non-null  object \n",
      " 7   gender                 555719 non-null  object \n",
      " 8   street                 555719 non-null  object \n",
      " 9   city                   555719 non-null  object \n",
      " 10  state                  555719 non-null  object \n",
      " 11  zip                    555719 non-null  int64  \n",
      " 12  lat                    555719 non-null  float64\n",
      " 13  long                   555719 non-null  float64\n",
      " 14  city_pop               555719 non-null  int64  \n",
      " 15  job                    555719 non-null  object \n",
      " 16  dob                    555719 non-null  object \n",
      " 17  trans_num              555719 non-null  object \n",
      " 18  unix_time              555719 non-null  int64  \n",
      " 19  merch_lat              555719 non-null  float64\n",
      " 20  merch_long             555719 non-null  float64\n",
      " 21  is_fraud               555719 non-null  int64  \n",
      "dtypes: float64(6), int64(4), object(12)\n",
      "memory usage: 97.5+ MB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Wf_4qTJPOOpl"
   },
   "source": [
    "Como podemos ver, el conjunto de datos está completo al no presentar datos nulos en ninguna columna."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "FW0N8CNsOfji"
   },
   "source": [
    "A modo de visualización, se muestran las primeras filas de nuestro conjunto de datos haciendo uso de *.head* ."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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    "executionInfo": {
     "elapsed": 52,
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     "timestamp": 1719768418738,
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    "id": "o9POrfHhW5D1",
    "outputId": "a633ca64-22a9-4822-89d1-ead24cc3b6f2"
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   "outputs": [
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       "      <th>trans_date_trans_time</th>\n",
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       "      <td>21/06/2020 12:14</td>\n",
       "      <td>2.291160e+15</td>\n",
       "      <td>fraud_Kirlin and Sons</td>\n",
       "      <td>personal_care</td>\n",
       "      <td>2.86</td>\n",
       "      <td>Jeff</td>\n",
       "      <td>Elliott</td>\n",
       "      <td>M</td>\n",
       "      <td>351 Darlene Green</td>\n",
       "      <td>Columbia</td>\n",
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       "      <td>33.9659</td>\n",
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       "      <td>333497</td>\n",
       "      <td>Mechanical engineer</td>\n",
       "      <td>19/03/1968</td>\n",
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       "      <td>33.986391</td>\n",
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       "      <td>3.573030e+15</td>\n",
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       "      <td>29.84</td>\n",
       "      <td>Joanne</td>\n",
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       "      <td>F</td>\n",
       "      <td>3638 Marsh Union</td>\n",
       "      <td>Altonah</td>\n",
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       "      <td>40.3207</td>\n",
       "      <td>-110.4360</td>\n",
       "      <td>302</td>\n",
       "      <td>Sales professional, IT</td>\n",
       "      <td>17/01/1990</td>\n",
       "      <td>324cc204407e99f51b0d6ca0055005e7</td>\n",
       "      <td>1371816873</td>\n",
       "      <td>39.450498</td>\n",
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       "      <td>3.598220e+15</td>\n",
       "      <td>fraud_Swaniawski, Nitzsche and Welch</td>\n",
       "      <td>health_fitness</td>\n",
       "      <td>41.28</td>\n",
       "      <td>Ashley</td>\n",
       "      <td>Lopez</td>\n",
       "      <td>F</td>\n",
       "      <td>9333 Valentine Point</td>\n",
       "      <td>Bellmore</td>\n",
       "      <td>...</td>\n",
       "      <td>40.6729</td>\n",
       "      <td>-73.5365</td>\n",
       "      <td>34496</td>\n",
       "      <td>Librarian, public</td>\n",
       "      <td>21/10/1970</td>\n",
       "      <td>c81755dbbbea9d5c77f094348a7579be</td>\n",
       "      <td>1371816893</td>\n",
       "      <td>40.495810</td>\n",
       "      <td>-74.196111</td>\n",
       "      <td>0</td>\n",
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       "      <th>3</th>\n",
       "      <td>21/06/2020 12:15</td>\n",
       "      <td>3.591920e+15</td>\n",
       "      <td>fraud_Haley Group</td>\n",
       "      <td>misc_pos</td>\n",
       "      <td>60.05</td>\n",
       "      <td>Brian</td>\n",
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       "      <td>M</td>\n",
       "      <td>32941 Krystal Mill Apt. 552</td>\n",
       "      <td>Titusville</td>\n",
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       "      <td>28.5697</td>\n",
       "      <td>-80.8191</td>\n",
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       "      <td>25/07/1987</td>\n",
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       "      --hover-fill-color: #174EA6;\n",
       "      --disabled-fill-color: #AAA;\n",
       "      --disabled-bg-color: #DDD;\n",
       "  }\n",
       "\n",
       "  [theme=dark] .colab-df-quickchart {\n",
       "      --bg-color: #3B4455;\n",
       "      --fill-color: #D2E3FC;\n",
       "      --hover-bg-color: #434B5C;\n",
       "      --hover-fill-color: #FFFFFF;\n",
       "      --disabled-bg-color: #3B4455;\n",
       "      --disabled-fill-color: #666;\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart {\n",
       "    background-color: var(--bg-color);\n",
       "    border: none;\n",
       "    border-radius: 50%;\n",
       "    cursor: pointer;\n",
       "    display: none;\n",
       "    fill: var(--fill-color);\n",
       "    height: 32px;\n",
       "    padding: 0;\n",
       "    width: 32px;\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart:hover {\n",
       "    background-color: var(--hover-bg-color);\n",
       "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "    fill: var(--button-hover-fill-color);\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart-complete:disabled,\n",
       "  .colab-df-quickchart-complete:disabled:hover {\n",
       "    background-color: var(--disabled-bg-color);\n",
       "    fill: var(--disabled-fill-color);\n",
       "    box-shadow: none;\n",
       "  }\n",
       "\n",
       "  .colab-df-spinner {\n",
       "    border: 2px solid var(--fill-color);\n",
       "    border-color: transparent;\n",
       "    border-bottom-color: var(--fill-color);\n",
       "    animation:\n",
       "      spin 1s steps(1) infinite;\n",
       "  }\n",
       "\n",
       "  @keyframes spin {\n",
       "    0% {\n",
       "      border-color: transparent;\n",
       "      border-bottom-color: var(--fill-color);\n",
       "      border-left-color: var(--fill-color);\n",
       "    }\n",
       "    20% {\n",
       "      border-color: transparent;\n",
       "      border-left-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "    }\n",
       "    30% {\n",
       "      border-color: transparent;\n",
       "      border-left-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "      border-right-color: var(--fill-color);\n",
       "    }\n",
       "    40% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "    }\n",
       "    60% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "    }\n",
       "    80% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "      border-bottom-color: var(--fill-color);\n",
       "    }\n",
       "    90% {\n",
       "      border-color: transparent;\n",
       "      border-bottom-color: var(--fill-color);\n",
       "    }\n",
       "  }\n",
       "</style>\n",
       "\n",
       "  <script>\n",
       "    async function quickchart(key) {\n",
       "      const quickchartButtonEl =\n",
       "        document.querySelector('#' + key + ' button');\n",
       "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
       "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
       "      try {\n",
       "        const charts = await google.colab.kernel.invokeFunction(\n",
       "            'suggestCharts', [key], {});\n",
       "      } catch (error) {\n",
       "        console.error('Error during call to suggestCharts:', error);\n",
       "      }\n",
       "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
       "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
       "    }\n",
       "    (() => {\n",
       "      let quickchartButtonEl =\n",
       "        document.querySelector('#df-57c87f0d-1668-4867-9d12-6126c35541a9 button');\n",
       "      quickchartButtonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "    })();\n",
       "  </script>\n",
       "</div>\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "text/plain": [
       "  trans_date_trans_time        cc_num                              merchant  \\\n",
       "0      21/06/2020 12:14  2.291160e+15                 fraud_Kirlin and Sons   \n",
       "1      21/06/2020 12:14  3.573030e+15                  fraud_Sporer-Keebler   \n",
       "2      21/06/2020 12:14  3.598220e+15  fraud_Swaniawski, Nitzsche and Welch   \n",
       "3      21/06/2020 12:15  3.591920e+15                     fraud_Haley Group   \n",
       "4      21/06/2020 12:15  3.526830e+15                 fraud_Johnston-Casper   \n",
       "\n",
       "         category    amt   first      last gender  \\\n",
       "0   personal_care   2.86    Jeff   Elliott      M   \n",
       "1   personal_care  29.84  Joanne  Williams      F   \n",
       "2  health_fitness  41.28  Ashley     Lopez      F   \n",
       "3        misc_pos  60.05   Brian  Williams      M   \n",
       "4          travel   3.19  Nathan    Massey      M   \n",
       "\n",
       "                        street        city  ...      lat      long  city_pop  \\\n",
       "0            351 Darlene Green    Columbia  ...  33.9659  -80.9355    333497   \n",
       "1             3638 Marsh Union     Altonah  ...  40.3207 -110.4360       302   \n",
       "2         9333 Valentine Point    Bellmore  ...  40.6729  -73.5365     34496   \n",
       "3  32941 Krystal Mill Apt. 552  Titusville  ...  28.5697  -80.8191     54767   \n",
       "4     5783 Evan Roads Apt. 465    Falmouth  ...  44.2529  -85.0170      1126   \n",
       "\n",
       "                      job         dob                         trans_num  \\\n",
       "0     Mechanical engineer  19/03/1968  2da90c7d74bd46a0caf3777415b3ebd3   \n",
       "1  Sales professional, IT  17/01/1990  324cc204407e99f51b0d6ca0055005e7   \n",
       "2       Librarian, public  21/10/1970  c81755dbbbea9d5c77f094348a7579be   \n",
       "3            Set designer  25/07/1987  2159175b9efe66dc301f149d3d5abf8c   \n",
       "4      Furniture designer  06/07/1955  57ff021bd3f328f8738bb535c302a31b   \n",
       "\n",
       "    unix_time  merch_lat  merch_long  is_fraud  \n",
       "0  1371816865  33.986391  -81.200714         0  \n",
       "1  1371816873  39.450498 -109.960431         0  \n",
       "2  1371816893  40.495810  -74.196111         0  \n",
       "3  1371816915  28.812398  -80.883061         0  \n",
       "4  1371816917  44.959148  -85.884734         0  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Q37KoQ-7L2S0"
   },
   "source": [
    "Procedemos a contar la cantidad de transacciones fraudulentas y no fraudulentas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 48,
     "status": "ok",
     "timestamp": 1719768418739,
     "user": {
      "displayName": "Franco Giordano",
      "userId": "11864357500095360887"
     },
     "user_tz": 180
    },
    "id": "HS-psYKnL6_s",
    "outputId": "d16fb31e-0809-413f-c381-6364e53c5f1f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "is_fraud\n",
      "0    553574\n",
      "1      2145\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "data_fraudes = data.groupby('is_fraud').size()\n",
    "print(data_fraudes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3yP00jrBMSQ9"
   },
   "source": [
    "Observamos que del total de transacciones, sólo el 0,3% han sido catalogadas como fraudulentas. Este imbalance de datos será importante tenerlo en cuenta a la hora de entrenar nuestros modelos de Machine Learning."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "rqfoKoeYO6PN"
   },
   "source": [
    "Se usa *.describe* para obtener un resumen estadístico de las columnas numéricas, como ser el numero de valores no nulos, la media aritmética, la desviación estándar, el valor mínimo, los percentiles y el valor máximo."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 300
    },
    "executionInfo": {
     "elapsed": 570,
     "status": "ok",
     "timestamp": 1719768419267,
     "user": {
      "displayName": "Franco Giordano",
      "userId": "11864357500095360887"
     },
     "user_tz": 180
    },
    "id": "dlSStDKKXP4O",
    "outputId": "152d4aff-6801-41df-9ac4-57512434725e"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "summary": "{\n  \"name\": \"data\",\n  \"rows\": 8,\n  \"fields\": [\n    {\n      \"column\": \"cc_num\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.7384310055032883e+18,\n        \"min\": 555719.0,\n        \"max\": 4.99235e+18,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          4.1783874831987296e+17,\n          3521420000000000.0,\n          555719.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"amt\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 195469.40292796041,\n        \"min\": 1.0,\n        \"max\": 555719.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          69.39281023322938,\n          47.29,\n          555719.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"zip\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 182646.36451821815,\n        \"min\": 1257.0,\n        \"max\": 555719.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          48842.62801523792,\n          48174.0,\n          555719.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"lat\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 196463.95010223167,\n        \"min\": 5.061336211107396,\n        \"max\": 555719.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          38.54325282129998,\n          39.3716,\n          555719.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"long\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 196505.36351645383,\n        \"min\": -165.6723,\n        \"max\": 555719.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          -90.23132507832199,\n          -87.4769,\n          555719.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"city_pop\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 998589.2440870903,\n        \"min\": 23.0,\n        \"max\": 2906700.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          88221.88791817447,\n          2408.0,\n          555719.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"unix_time\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 637790285.3074052,\n        \"min\": 555719.0,\n        \"max\": 1388534374.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          1380678865.1667802,\n          1380761988.0,\n          555719.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"merch_lat\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 196463.94132113908,\n        \"min\": 5.095829265180007,\n        \"max\": 555719.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          38.54279777803892,\n          39.376593,\n          555719.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"merch_long\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 196505.37140014354,\n        \"min\": -166.671575,\n        \"max\": 555719.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          -90.23138049244673,\n          -87.445204,\n          555719.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"is_fraud\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 196476.2828329605,\n        \"min\": 0.0,\n        \"max\": 555719.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.0038598644278853163,\n          1.0,\n          0.06200784461178394\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
       "type": "dataframe"
      },
      "text/html": [
       "\n",
       "  <div id=\"df-a407dac5-907b-423a-a00e-ce2dff3f66b9\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cc_num</th>\n",
       "      <th>amt</th>\n",
       "      <th>zip</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>city_pop</th>\n",
       "      <th>unix_time</th>\n",
       "      <th>merch_lat</th>\n",
       "      <th>merch_long</th>\n",
       "      <th>is_fraud</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5.557190e+05</td>\n",
       "      <td>555719.000000</td>\n",
       "      <td>555719.000000</td>\n",
       "      <td>555719.000000</td>\n",
       "      <td>555719.000000</td>\n",
       "      <td>5.557190e+05</td>\n",
       "      <td>5.557190e+05</td>\n",
       "      <td>555719.000000</td>\n",
       "      <td>555719.000000</td>\n",
       "      <td>555719.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4.178387e+17</td>\n",
       "      <td>69.392810</td>\n",
       "      <td>48842.628015</td>\n",
       "      <td>38.543253</td>\n",
       "      <td>-90.231325</td>\n",
       "      <td>8.822189e+04</td>\n",
       "      <td>1.380679e+09</td>\n",
       "      <td>38.542798</td>\n",
       "      <td>-90.231380</td>\n",
       "      <td>0.003860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.309837e+18</td>\n",
       "      <td>156.745941</td>\n",
       "      <td>26855.283328</td>\n",
       "      <td>5.061336</td>\n",
       "      <td>13.721780</td>\n",
       "      <td>3.003909e+05</td>\n",
       "      <td>5.201104e+06</td>\n",
       "      <td>5.095829</td>\n",
       "      <td>13.733071</td>\n",
       "      <td>0.062008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>6.041621e+10</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1257.000000</td>\n",
       "      <td>20.027100</td>\n",
       "      <td>-165.672300</td>\n",
       "      <td>2.300000e+01</td>\n",
       "      <td>1.371817e+09</td>\n",
       "      <td>19.027422</td>\n",
       "      <td>-166.671575</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.800430e+14</td>\n",
       "      <td>9.630000</td>\n",
       "      <td>26292.000000</td>\n",
       "      <td>34.668900</td>\n",
       "      <td>-96.798000</td>\n",
       "      <td>7.410000e+02</td>\n",
       "      <td>1.376029e+09</td>\n",
       "      <td>34.755302</td>\n",
       "      <td>-96.905129</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.521420e+15</td>\n",
       "      <td>47.290000</td>\n",
       "      <td>48174.000000</td>\n",
       "      <td>39.371600</td>\n",
       "      <td>-87.476900</td>\n",
       "      <td>2.408000e+03</td>\n",
       "      <td>1.380762e+09</td>\n",
       "      <td>39.376593</td>\n",
       "      <td>-87.445204</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>4.635330e+15</td>\n",
       "      <td>83.010000</td>\n",
       "      <td>72011.000000</td>\n",
       "      <td>41.894800</td>\n",
       "      <td>-80.175200</td>\n",
       "      <td>1.968500e+04</td>\n",
       "      <td>1.385867e+09</td>\n",
       "      <td>41.954163</td>\n",
       "      <td>-80.264637</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>4.992350e+18</td>\n",
       "      <td>22768.110000</td>\n",
       "      <td>99921.000000</td>\n",
       "      <td>65.689900</td>\n",
       "      <td>-67.950300</td>\n",
       "      <td>2.906700e+06</td>\n",
       "      <td>1.388534e+09</td>\n",
       "      <td>66.679297</td>\n",
       "      <td>-66.952026</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
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       "\n",
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       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-a407dac5-907b-423a-a00e-ce2dff3f66b9 button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-a407dac5-907b-423a-a00e-ce2dff3f66b9');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
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       "\n",
       "\n",
       "<div id=\"df-4def1715-3e00-44bd-a265-9a2fd78e130a\">\n",
       "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-4def1715-3e00-44bd-a265-9a2fd78e130a')\"\n",
       "            title=\"Suggest charts\"\n",
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       "    </g>\n",
       "</svg>\n",
       "  </button>\n",
       "\n",
       "<style>\n",
       "  .colab-df-quickchart {\n",
       "      --bg-color: #E8F0FE;\n",
       "      --fill-color: #1967D2;\n",
       "      --hover-bg-color: #E2EBFA;\n",
       "      --hover-fill-color: #174EA6;\n",
       "      --disabled-fill-color: #AAA;\n",
       "      --disabled-bg-color: #DDD;\n",
       "  }\n",
       "\n",
       "  [theme=dark] .colab-df-quickchart {\n",
       "      --bg-color: #3B4455;\n",
       "      --fill-color: #D2E3FC;\n",
       "      --hover-bg-color: #434B5C;\n",
       "      --hover-fill-color: #FFFFFF;\n",
       "      --disabled-bg-color: #3B4455;\n",
       "      --disabled-fill-color: #666;\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart {\n",
       "    background-color: var(--bg-color);\n",
       "    border: none;\n",
       "    border-radius: 50%;\n",
       "    cursor: pointer;\n",
       "    display: none;\n",
       "    fill: var(--fill-color);\n",
       "    height: 32px;\n",
       "    padding: 0;\n",
       "    width: 32px;\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart:hover {\n",
       "    background-color: var(--hover-bg-color);\n",
       "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "    fill: var(--button-hover-fill-color);\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart-complete:disabled,\n",
       "  .colab-df-quickchart-complete:disabled:hover {\n",
       "    background-color: var(--disabled-bg-color);\n",
       "    fill: var(--disabled-fill-color);\n",
       "    box-shadow: none;\n",
       "  }\n",
       "\n",
       "  .colab-df-spinner {\n",
       "    border: 2px solid var(--fill-color);\n",
       "    border-color: transparent;\n",
       "    border-bottom-color: var(--fill-color);\n",
       "    animation:\n",
       "      spin 1s steps(1) infinite;\n",
       "  }\n",
       "\n",
       "  @keyframes spin {\n",
       "    0% {\n",
       "      border-color: transparent;\n",
       "      border-bottom-color: var(--fill-color);\n",
       "      border-left-color: var(--fill-color);\n",
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       "      border-bottom-color: var(--fill-color);\n",
       "    }\n",
       "  }\n",
       "</style>\n",
       "\n",
       "  <script>\n",
       "    async function quickchart(key) {\n",
       "      const quickchartButtonEl =\n",
       "        document.querySelector('#' + key + ' button');\n",
       "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
       "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
       "      try {\n",
       "        const charts = await google.colab.kernel.invokeFunction(\n",
       "            'suggestCharts', [key], {});\n",
       "      } catch (error) {\n",
       "        console.error('Error during call to suggestCharts:', error);\n",
       "      }\n",
       "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
       "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
       "    }\n",
       "    (() => {\n",
       "      let quickchartButtonEl =\n",
       "        document.querySelector('#df-4def1715-3e00-44bd-a265-9a2fd78e130a button');\n",
       "      quickchartButtonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "    })();\n",
       "  </script>\n",
       "</div>\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "text/plain": [
       "             cc_num            amt            zip            lat  \\\n",
       "count  5.557190e+05  555719.000000  555719.000000  555719.000000   \n",
       "mean   4.178387e+17      69.392810   48842.628015      38.543253   \n",
       "std    1.309837e+18     156.745941   26855.283328       5.061336   \n",
       "min    6.041621e+10       1.000000    1257.000000      20.027100   \n",
       "25%    1.800430e+14       9.630000   26292.000000      34.668900   \n",
       "50%    3.521420e+15      47.290000   48174.000000      39.371600   \n",
       "75%    4.635330e+15      83.010000   72011.000000      41.894800   \n",
       "max    4.992350e+18   22768.110000   99921.000000      65.689900   \n",
       "\n",
       "                long      city_pop     unix_time      merch_lat  \\\n",
       "count  555719.000000  5.557190e+05  5.557190e+05  555719.000000   \n",
       "mean      -90.231325  8.822189e+04  1.380679e+09      38.542798   \n",
       "std        13.721780  3.003909e+05  5.201104e+06       5.095829   \n",
       "min      -165.672300  2.300000e+01  1.371817e+09      19.027422   \n",
       "25%       -96.798000  7.410000e+02  1.376029e+09      34.755302   \n",
       "50%       -87.476900  2.408000e+03  1.380762e+09      39.376593   \n",
       "75%       -80.175200  1.968500e+04  1.385867e+09      41.954163   \n",
       "max       -67.950300  2.906700e+06  1.388534e+09      66.679297   \n",
       "\n",
       "          merch_long       is_fraud  \n",
       "count  555719.000000  555719.000000  \n",
       "mean      -90.231380       0.003860  \n",
       "std        13.733071       0.062008  \n",
       "min      -166.671575       0.000000  \n",
       "25%       -96.905129       0.000000  \n",
       "50%       -87.445204       0.000000  \n",
       "75%       -80.264637       0.000000  \n",
       "max       -66.952026       1.000000  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Lbu2gSoSiQT4"
   },
   "source": [
    "## **Preprocesamiento de Datos**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "PRk3iAk8igEU"
   },
   "source": [
    "A fines de mejorar la calidad de nuestros modelos y análisis de nuestros datos, realizamos las siguientes transformaciones en el dataset:\n",
    "\n",
    "1. **Separar fecha y hora de transacción:** De la columna \"trans_date_trans_time\" vamos a crear 2 columnas, una con la fecha de la transacción, y otra con la hora (vamos a eliminar los minutos)\n",
    "\n",
    "2. **Obtener día de semana:** Crearemos una columna extra con el nombre del día de la semana.\n",
    "\n",
    "3. **Cálculo de edad**: Para mejorar la visualización de los datos, vamos a procesar la edad en base a la fecha de nacimiento de los usuarios y a la fecha de la transacción.\n",
    "\n",
    "4. **Agrupamiento de trabajos**: Existen 478 diferentes trabajos en el dataset. Si quisiéramos utilizar esta columna en un modelo de ML, éste se demoraría demasiado en entrenarse. De igual forma, podemos reducir la cantidad de valores únicos para la etapa de visualización de datos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "-XOdQ6ohqbh5"
   },
   "outputs": [],
   "source": [
    "def day_of_week(date_str):\n",
    "    day = {\n",
    "        0: 'Lunes',\n",
    "        1: 'Martes',\n",
    "        2: 'Miercoles',\n",
    "        3: 'Jueves',\n",
    "        4: 'Viernes',\n",
    "        5: 'Sabado',\n",
    "        6: 'Domingo'\n",
    "    }\n",
    "    day_num = day[date_str.weekday()]\n",
    "    return day_num\n",
    "\n",
    "\n",
    "def calculate_age(row):\n",
    "    born = datetime.strptime(row['dob'], \"%d/%m/%Y\").date()\n",
    "    trans = row['fecha_trans']\n",
    "    return trans.year - born.year - ((trans.month, trans.day) < (born.month, born.day))\n",
    "\n",
    "\n",
    "def preprocesar_data(data):\n",
    "\n",
    "    # Separar fecha y hora de transaccion\n",
    "    data['fecha_trans'] = data['trans_date_trans_time'].apply(lambda x: datetime.strptime(x, \"%d/%m/%Y %H:%M\").date())\n",
    "    data['hora_trans'] = data['trans_date_trans_time'].apply(lambda x: datetime.strptime(x, \"%d/%m/%Y %H:%M\").hour)\n",
    "\n",
    "    # Obtener dia de semana\n",
    "    data['dia_semana'] = data['fecha_trans'].apply(day_of_week)\n",
    "\n",
    "    # Calcular edad\n",
    "    data['edad'] = data.apply(calculate_age, axis=1)\n",
    "\n",
    "    # Pasamos todos los datos a lower case\n",
    "    data['job'] = data['job'].str.lower()\n",
    "\n",
    "    # En caso de contener una coma, extraemos solo la primera parte\n",
    "    data['job'] = data['job'].apply(lambda x: x.split(',')[0] if ',' in x else x)\n",
    "\n",
    "    return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "Sp8XxF-qqieX"
   },
   "outputs": [],
   "source": [
    "data = preprocesar_data(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "_815PLTAysIj"
   },
   "source": [
    "Nuestras nuevas columnas se ven así:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 206
    },
    "executionInfo": {
     "elapsed": 7,
     "status": "ok",
     "timestamp": 1719768453191,
     "user": {
      "displayName": "Franco Giordano",
      "userId": "11864357500095360887"
     },
     "user_tz": 180
    },
    "id": "Tfb6LB-UrQIo",
    "outputId": "e14173e0-6e64-4dbc-8343-084dc80b839b"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "summary": "{\n  \"name\": \"data[['fecha_trans', 'hora_trans', 'dia_semana', 'edad', 'job']]\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"fecha_trans\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2020-06-21\",\n        \"max\": \"2020-06-21\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"2020-06-21\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"hora_trans\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 12,\n        \"max\": 12,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          12\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"dia_semana\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Domingo\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"edad\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14,\n        \"min\": 30,\n        \"max\": 64,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          30\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"job\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"sales professional\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
       "type": "dataframe"
      },
      "text/html": [
       "\n",
       "  <div id=\"df-11906ee2-a1bb-4035-8034-9a7813f71020\" class=\"colab-df-container\">\n",
       "    <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",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
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       "    <tr style=\"text-align: right;\">\n",
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       "      <th>fecha_trans</th>\n",
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       "      <th>0</th>\n",
       "      <td>2020-06-21</td>\n",
       "      <td>12</td>\n",
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       "      <td>52</td>\n",
       "      <td>mechanical engineer</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-06-21</td>\n",
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       "    <tr>\n",
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       "      <td>12</td>\n",
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       "    <tr>\n",
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       "      <td>12</td>\n",
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       "      <td>64</td>\n",
       "      <td>furniture designer</td>\n",
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       "      display:flex;\n",
       "      gap: 12px;\n",
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       "\n",
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       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
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       "\n",
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       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
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       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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       "        const element = document.querySelector('#df-11906ee2-a1bb-4035-8034-9a7813f71020');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
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       "     width=\"24px\">\n",
       "    <g>\n",
       "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
       "    </g>\n",
       "</svg>\n",
       "  </button>\n",
       "\n",
       "<style>\n",
       "  .colab-df-quickchart {\n",
       "      --bg-color: #E8F0FE;\n",
       "      --fill-color: #1967D2;\n",
       "      --hover-bg-color: #E2EBFA;\n",
       "      --hover-fill-color: #174EA6;\n",
       "      --disabled-fill-color: #AAA;\n",
       "      --disabled-bg-color: #DDD;\n",
       "  }\n",
       "\n",
       "  [theme=dark] .colab-df-quickchart {\n",
       "      --bg-color: #3B4455;\n",
       "      --fill-color: #D2E3FC;\n",
       "      --hover-bg-color: #434B5C;\n",
       "      --hover-fill-color: #FFFFFF;\n",
       "      --disabled-bg-color: #3B4455;\n",
       "      --disabled-fill-color: #666;\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart {\n",
       "    background-color: var(--bg-color);\n",
       "    border: none;\n",
       "    border-radius: 50%;\n",
       "    cursor: pointer;\n",
       "    display: none;\n",
       "    fill: var(--fill-color);\n",
       "    height: 32px;\n",
       "    padding: 0;\n",
       "    width: 32px;\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart:hover {\n",
       "    background-color: var(--hover-bg-color);\n",
       "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "    fill: var(--button-hover-fill-color);\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart-complete:disabled,\n",
       "  .colab-df-quickchart-complete:disabled:hover {\n",
       "    background-color: var(--disabled-bg-color);\n",
       "    fill: var(--disabled-fill-color);\n",
       "    box-shadow: none;\n",
       "  }\n",
       "\n",
       "  .colab-df-spinner {\n",
       "    border: 2px solid var(--fill-color);\n",
       "    border-color: transparent;\n",
       "    border-bottom-color: var(--fill-color);\n",
       "    animation:\n",
       "      spin 1s steps(1) infinite;\n",
       "  }\n",
       "\n",
       "  @keyframes spin {\n",
       "    0% {\n",
       "      border-color: transparent;\n",
       "      border-bottom-color: var(--fill-color);\n",
       "      border-left-color: var(--fill-color);\n",
       "    }\n",
       "    20% {\n",
       "      border-color: transparent;\n",
       "      border-left-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "    }\n",
       "    30% {\n",
       "      border-color: transparent;\n",
       "      border-left-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "      border-right-color: var(--fill-color);\n",
       "    }\n",
       "    40% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "    }\n",
       "    60% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "    }\n",
       "    80% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "      border-bottom-color: var(--fill-color);\n",
       "    }\n",
       "    90% {\n",
       "      border-color: transparent;\n",
       "      border-bottom-color: var(--fill-color);\n",
       "    }\n",
       "  }\n",
       "</style>\n",
       "\n",
       "  <script>\n",
       "    async function quickchart(key) {\n",
       "      const quickchartButtonEl =\n",
       "        document.querySelector('#' + key + ' button');\n",
       "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
       "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
       "      try {\n",
       "        const charts = await google.colab.kernel.invokeFunction(\n",
       "            'suggestCharts', [key], {});\n",
       "      } catch (error) {\n",
       "        console.error('Error during call to suggestCharts:', error);\n",
       "      }\n",
       "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
       "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
       "    }\n",
       "    (() => {\n",
       "      let quickchartButtonEl =\n",
       "        document.querySelector('#df-8f6c1b1f-fc0e-4a91-b338-c5357e9b095b button');\n",
       "      quickchartButtonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "    })();\n",
       "  </script>\n",
       "</div>\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "text/plain": [
       "  fecha_trans  hora_trans dia_semana  edad                  job\n",
       "0  2020-06-21          12    Domingo    52  mechanical engineer\n",
       "1  2020-06-21          12    Domingo    30   sales professional\n",
       "2  2020-06-21          12    Domingo    49            librarian\n",
       "3  2020-06-21          12    Domingo    32         set designer\n",
       "4  2020-06-21          12    Domingo    64   furniture designer"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[['fecha_trans', 'hora_trans', 'dia_semana', 'edad', 'job']].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "fQ5pVtPLbn-r"
   },
   "source": [
    "## **Visualización de Datos**\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Guwtgv3TSzwK"
   },
   "source": [
    "### 1. ¿Qué tipo de compras se realizaron? ¿Cuántas se tildaron como fraudulentas?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 699
    },
    "executionInfo": {
     "elapsed": 602,
     "status": "ok",
     "timestamp": 1719768453788,
     "user": {
      "displayName": "Franco Giordano",
      "userId": "11864357500095360887"
     },
     "user_tz": 180
    },
    "id": "Fc_yHc-wbykj",
    "outputId": "15973be5-0eae-4122-c810-708120ffd94e"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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sBAUFKbVr11bbrVu3TnnxxReV6tWrK0ZGRkqtWrWUkSNHKqmpqQ/ts4ddG1BCQkJ0ynbu3Kn4+/srJiYmiqWlpdKjRw/l9OnTD73G/ecr7nMZRX3G4fr168rgwYOVatWqKebm5kqnTp2UM2fOKLVr19b5tIWiKMqxY8eUli1bqvf+4YcfFvlpi7y8PCUsLExxcnJSTExMlICAAOX3339/rHM++LkMRVGUnJwc5f3331caNGigaLVaxcbGRmnatKkSFhamZGRkPLRPFEUpMp65c+cqNWrUUPT09HRi2LRpk+Lr66sYGxsrrq6uyvvvv6988cUXOm2OHz+uDBgwQKlVq5ai1WqV6tWrK927d1eOHj1a6NpCFEWjKE9oxqkQQlSQ4OBg1q1bpzOyJYQQTyOZYyaEEEIIUUVIYiaEEEIIUUVIYiaEEEIIUUXIHDMhhBBCiCpCRsyEEEIIIaoIScyEEEIIIaoI+cCsKLH8/Hz+/PNPLCwsym35EyGEEOJZoCgKN27cwNnZGT294sfFJDETJfbnn38WWhRYCCGEECV3+fJlatasWWy9JGaixCwsLIB7v1SWlpaVHI0QQgjx9MjMzMTFxUX9W1ocScxEiRU8vrS0tJTETAghhCiDR00Fksn/QgghhBBVhCRmQgghhBBVhCRmQgghhBBVhCRmQgghhBBVhCRmQgghhBBVhCRmQgghhBBVhCRmQgghhBBVhCRmQgghhBBVhCRmQgghhBBVhCRmQgghhBBVhCzJJErNKtwKjCs7CiGEEKJiKCFKpV1bRsyEEEIIIaoIScyEEEIIIaoIScz+v4sXL6LRaIiLi6vsUCpcTEwMGo2G9PT0yg5FCCGEEPeRxKyUcnJyKjuEx3L37t3KDkEIIYQQxahyidmNGzcYOHAgZmZmODk5sXjxYgICApg4cSIAa9asoVmzZlhYWODo6Mhrr71GWlqaevz169cZOHAg9vb2mJiY4O7uTkRExCOvW6dOHQAaN26MRqMhICAAgODgYHr16sW7776Ls7Mznp6eJYqjYFRq165dNGvWDFNTU1q3bk1iYqLaJj4+nvbt22NhYYGlpSVNmzbl6NGjAERGRmJtbc3GjRtxd3fH2NiYTp06cfnyZZ24V6xYQb169TAyMsLT05M1a9bo1Gs0GlasWMFLL72EmZkZw4cPp3379gDY2Nig0WgIDg4uwb+MEEIIISpalUvMJk2aRGxsLJs2bSI6Opp9+/Zx/Phxtf7u3bvMnTuX+Ph4Nm7cyMWLF3USi1mzZnH69Gm2bdtGQkICK1asoFq1ao+87uHDhwHYuXMnqamprF+/Xq3btWsXiYmJREdHs3nz5hLFUWDmzJksWrSIo0ePYmBgwJAhQ9S6gQMHUrNmTY4cOcKxY8eYPn06hoaGav2tW7d49913+fLLL4mNjSU9PZ3+/fur9Rs2bGDChAlMnjyZ33//nZEjRzJ48GD27NmjE0NoaCgvv/wyJ0+eJCwsjB9++AGAxMREUlNTWbp0aZF9kp2dTWZmps4mhBBCiIpTpT6XcePGDaKiovj666/p2LEjABERETg7O6tt7k9s6taty0cffUTz5s3JysrC3NyclJQUGjduTLNmzQBwdXUt0bXt7e0BsLOzw9HRUafOzMyMzz//HCMjoxLHUeDdd9+lXbt2AEyfPp1u3bpx584djI2NSUlJYerUqdSvXx8Ad3d3nevevXuX5cuX07JlSwCioqLw8vLi8OHDtGjRgoULFxIcHMzo0aOBe0ntr7/+ysKFC9VRMYDXXnuNwYMHq/vJyckAVK9eHWtr62L7JDw8nLCwsEf0nBBCCCHKS5UaMbtw4QJ3796lRYsWapmVlZX6+BDg2LFj9OjRg1q1amFhYaEmPSkpKQC88cYbrF27lkaNGjFt2jQOHDjw2HH5+PjoJGUliaOAr6+v+rOTkxOA+shz0qRJDBs2jMDAQN577z2SkpJ0jjUwMKB58+bqfv369bG2tiYhIQGAhIQE/P39dY7x9/dX6wsUJKmlNWPGDDIyMtTtwceoQgghhChfVSoxe5SbN2/SqVMnLC0t+eqrrzhy5AgbNmwA/m9SfpcuXbh06RJvvvkmf/75Jx07dmTKlCmPdV0zM7NSx1Hg/keTGo0GgPz8fODeI8ZTp07RrVs3du/ejbe3t3qe8vRg/CWl1WqxtLTU2YQQQghRcapUYla3bl0MDQ05cuSIWpaRkcHZs2cBOHPmDFevXuW9996jTZs21K9fX2fCfQF7e3uCgoL473//y5IlS/jss88eee2CEbG8vLxHti1pHCXh4eHBm2++yc8//0zv3r11XlTIzc1VXwaAe3PC0tPT8fLyAsDLy4vY2Fid88XGxuLt7f3Qa5bmXoUQQgjx5FSpOWYWFhYEBQUxdepUbG1tqV69OiEhIejp6aHRaKhVqxZGRkYsW7aMUaNG8fvvvzN37lydc8yePZumTZvSoEEDsrOz2bx5s5rIPEz16tUxMTFh+/bt1KxZE2NjY6ysrIpsW5I4HuX27dtMnTqVV199lTp16vC///2PI0eO8Morr6htDA0NGTduHB999BEGBgaMHTuWVq1aqY96p06dSt++fWncuDGBgYH89NNPrF+/np07dz702rVr10aj0bB582a6du2KiYmJzrw4IYQQQlSOKjViBvDhhx/i5+dH9+7dCQwMxN/fHy8vL4yNjbG3tycyMpLvv/8eb29v3nvvPRYuXKhzvJGRETNmzMDX15e2bduir6/P2rVrH3ldAwMDPvroI1auXImzszM9e/Ystm1J4ngUfX19rl69yqBBg/Dw8KBv37506dJFZ7K9qakpb731Fq+99hr+/v6Ym5vz7bffqvW9evVi6dKlLFy4kAYNGrBy5UoiIiLUT30Up0aNGoSFhTF9+nQcHBwYO3ZsqWIXQgghRMXQKIpSeSt1lsDNmzepUaMGixYtYujQoZUdzhMTGRnJxIkTq9TX+TMzM++NIk5HFjEXQgjxr1URi5gX/A3NyMh46JztKvUoE+DEiROcOXOGFi1akJGRwZw5cwAeOoIlhBBCCPFvUOUSM4CFCxeSmJiIkZERTZs2Zd++fSX6SOzDzJ8/n/nz5xdZ16ZNG7Zt2/ZY53+WZMx4eLYvhBBCiLKp8o8yy8u1a9e4du1akXUmJibUqFHjCUf09CnpMKwQQgghdD21jzIriq2tLba2tpUdhhBCCCFEsZ6ZxEyUH6twK5n8L4QQokJVxAT8p0GV+1yGEEIIIcSzShKzJywgIICJEydWdhhCCCGEqIIkMRNCCCGEqCIkMRNCCCGEqCIkMasE+fn5TJs2DVtbWxwdHQkNDVXrUlJS6NmzJ+bm5lhaWtK3b1+uXLmi1oeGhtKoUSO++OILatWqhbm5OaNHjyYvL48FCxbg6OhI9erVeffdd3WumZ6ezrBhw7C3t8fS0pIOHToQHx//pG5ZCCGEECUgiVkliIqKwszMjEOHDrFgwQLmzJlDdHQ0+fn59OzZk2vXrrF3716io6O5cOEC/fr10zk+KSmJbdu2sX37dr755htWr15Nt27d+N///sfevXt5//33eeeddzh06JB6TJ8+fUhLS2Pbtm0cO3aMJk2a0LFjx2K/7SaEEEKIJ08+l1EJfH19CQkJAcDd3Z3ly5eza9cuAE6ePElycjIuLi4AfPnllzRo0IAjR47QvHlz4N6I2xdffIGFhQXe3t60b9+exMREtm7dip6eHp6enrz//vvs2bOHli1bsn//fg4fPkxaWhparRa4t7rCxo0bWbduHSNGjCgyzuzsbLKzs9X9zMzMCusTIYQQQsiIWaXw9fXV2XdyciItLY2EhARcXFzUpAzA29sba2trEhIS1DJXV1csLCzUfQcHB7y9vdHT09MpS0tLAyA+Pp6srCzs7OwwNzdXt+TkZJKSkoqNMzw8HCsrK3W7Py4hhBBClD8ZMasEhoaGOvsajYb8/PzHOv5h58zKysLJyYmYmJhC57K2ti72OjNmzGDSpEnqfmZmpiRnQgghRAWSxKwK8fLy4vLly1y+fFlNgE6fPk16ejre3t5lPm+TJk3466+/MDAwwNXVtcTHabVa9dGnEEIIISqePMqsQgIDA/Hx8WHgwIEcP36cw4cPM2jQINq1a0ezZs0e67x+fn706tWLn3/+mYsXL3LgwAFmzpzJ0aNHy/EOhBBCCPE4JDGrQjQaDT/++CM2Nja0bduWwMBA6taty7fffvvY5926dStt27Zl8ODBeHh40L9/fy5duoSDg0M5RS+EEEKIx6VRFOXZXCVUlFpmZiZWVlYwHVnEXAghRIX6ty1iXvA3NCMjA0tLy2LbyYiZEEIIIUQVIZP/RallzHh4ti+EEEKIspERMyGEEEKIKkISMyGEEEKIKkISMyGEEEKIKkLmmIlSswq3krcyhRBCVIh/29uYpSUjZkIIIYQQVYQkZkIIIYQQVYQkZkIIIYQQVcQzlZjl5OQ8U9cVQgghxNPlqU7Mbty4wcCBAzEzM8PJyYnFixcTEBDAxIkTAXB1dWXu3LkMGjQIS0tLRowYAcAPP/xAgwYN0Gq1uLq6smjRIp3zZmdn89Zbb+Hi4oJWq8XNzY3Vq1er9b///jtdunTB3NwcBwcHXn/9df755x+1PiAggLFjxzJx4kSqVatGp06dGDJkCN27d9e5zt27d6levbrOuYtTcM6xY8diZWVFtWrVmDVrFvevqHX9+nUGDRqEjY0NpqamdOnShXPnzqn1ly5dokePHtjY2GBmZkaDBg3YunVryTtcCCGEEBXqqU7MJk2aRGxsLJs2bSI6Opp9+/Zx/PhxnTYLFy6kYcOGnDhxglmzZnHs2DH69u1L//79OXnyJKGhocyaNYvIyEj1mEGDBvHNN9/w0UcfkZCQwMqVKzE3NwcgPT2dDh060LhxY44ePcr27du5cuUKffv21bluVFQURkZGxMbG8umnnzJs2DC2b99Oamqq2mbz5s3cunWLfv36leh+o6KiMDAw4PDhwyxdupQPP/yQzz//XK0PDg7m6NGjbNq0iYMHD6IoCl27duXu3bsAjBkzhuzsbH755RdOnjzJ+++/r95XUbKzs8nMzNTZhBBCCFFxntpFzG/cuIGdnR1ff/01r776KgAZGRk4OzszfPhwlixZgqurK40bN2bDhg3qcQMHDuTvv//m559/VsumTZvGli1bOHXqFGfPnsXT05Po6GgCAwMLXXfevHns27ePHTt2qGX/+9//cHFxITExEQ8PDwICAsjMzCyUJDZo0ICgoCCmTZsGwEsvvYSdnR0RERGPvN+AgADS0tI4deoUGo0GgOnTp7Np0yZOnz7NuXPn8PDwIDY2ltatWwNw9epVXFxciIqKok+fPvj6+vLKK68QEhJSoj4ODQ0lLCyscIUsYi6EEKKC/Fs/l/GvX8T8woUL3L17lxYtWqhlVlZWeHp66rRr1qyZzn5CQgL+/v46Zf7+/pw7d468vDzi4uLQ19enXbt2RV43Pj6ePXv2YG5urm7169cHICkpSW3XtGnTQscOGzZMTcKuXLnCtm3bGDJkSInvuVWrVmpSBuDn56fGnZCQgIGBAS1btlTr7ezs8PT0JCEhAYDx48czb948/P39CQkJ4bfffnvo9WbMmEFGRoa6Xb58ucSxCiGEEKL0ntrErKTMzMxK1d7ExOSh9VlZWfTo0YO4uDid7dy5c7Rt2/ah1x00aBAXLlzg4MGD/Pe//6VOnTq0adOmVPE9jmHDhnHhwgVef/11Tp48SbNmzVi2bFmx7bVaLZaWljqbEEIIISrOU5uY1a1bF0NDQ44cOaKWZWRkcPbs2Yce5+XlRWxsrE5ZbGwsHh4e6Ovr4+PjQ35+Pnv37i3y+CZNmnDq1ClcXV1xc3PT2R6VBNrZ2dGrVy8iIiKIjIxk8ODBJbzbew4dOqSz/+uvv+Lu7o6+vj5eXl7k5ubqtLl69SqJiYl4e3urZS4uLowaNYr169czefJkVq1aVaoYhBBCCFFxntrEzMLCgqCgIKZOncqePXs4deoUQ4cORU9PT+dx34MmT57Mrl27mDt3LmfPniUqKorly5czZcoU4N6bnEFBQQwZMoSNGzeSnJxMTEwM3333HXBvAv21a9cYMGAAR44cISkpiR07djB48GDy8vIeGfewYcOIiooiISGBoKCgUt1zSkoKkyZNIjExkW+++YZly5YxYcIEANzd3enZsyfDhw9n//79xMfH85///IcaNWrQs2dPACZOnMiOHTtITk7m+PHj7NmzBy8vr1LFIIQQQoiK89QmZgAffvghfn5+dO/encDAQPz9/fHy8sLYuPiZ6U2aNOG7775j7dq1PPfcc8yePZs5c+YQHBystlmxYgWvvvoqo0ePpn79+gwfPpybN28C4OzsTGxsLHl5ebz44ov4+PgwceJErK2t0dN7dHcGBgbi5OREp06dcHZ2LtX9Dho0iNu3b9OiRQvGjBnDhAkT1E+AAERERNC0aVO6d++On58fiqKwdetWDA0NAcjLy2PMmDF4eXnRuXNnPDw8+OSTT0oVgxBCCCEqzlP7VmZRbt68SY0aNVi0aBFDhw6t7HCKlJWVRY0aNYiIiKB3794lPi4gIIBGjRqxZMmSigvuEQreKJG3MoUQQlSUZ/2tTIMnGFO5O3HiBGfOnKFFixZkZGQwZ84cAPXRXVWSn5/PP//8w6JFi7C2tuall16q7JCEEEIIUcU81YkZ3PuAbGJiIkZGRjRt2pR9+/ZRrVq1yg6rkJSUFOrUqUPNmjWJjIzEwMBAp+7+CfoPOn369JMIscQyZjw82xdCCCFE2fyrHmU+rXJzc7l48WKx9a6urjqJXGUp6TCsEEIIIXQ9E48y/y0MDAxwc3Or7DCEEEIIUckkMROlZhVuJZP/hRBCAP/eyfqV5an+XIYQQgghxL/JU5WYBQcH06tXr8oOA6hasQghhBDi30EeZZbR0qVLkfcmhBBCCFGeJDErIysrq8oOQQghhBD/MlXyUea6devw8fHBxMQEOzs7AgMD1SWR4N63y5ycnLCzs2PMmDHcvXtXrbt+/TqDBg3CxsYGU1NTunTpwrlz59T6yMhIrK2t2bhxI+7u7hgbG9OpUycuX76stgkNDaVRo0asXLkSFxcXTE1N6du3LxkZGWqbBx9lBgQEMH78eKZNm4atrS2Ojo6Ehobq3NeZM2d4/vnnMTY2xtvbm507d6LRaNi4ceMj++TixYtoNBrWrl1L69atMTY25rnnniu02PrevXtp0aIFWq0WJycnpk+fTm5ubon7VgghhBCVp8olZqmpqQwYMIAhQ4aQkJBATEwMvXv3Vh8b7tmzh6SkJPbs2UNUVBSRkZFERkaqxwcHB3P06FE2bdrEwYMHURSFrl276iRvt27d4t133+XLL78kNjaW9PR0+vfvrxPH+fPn+e677/jpp5/Yvn07J06cYPTo0Q+NPSoqCjMzMw4dOsSCBQuYM2cO0dHRwL11Knv16oWpqSmHDh3is88+Y+bMmaXun6lTpzJ58mROnDiBn58fPXr04OrVqwD88ccfdO3alebNmxMfH8+KFStYvXo18+bNK1HfCiGEEKJyVblHmampqeTm5tK7d29q164NgI+Pj1pvY2PD8uXL0dfXp379+nTr1o1du3YxfPhwzp07x6ZNm4iNjaV169YAfPXVV7i4uLBx40b69OkDwN27d1m+fDktW7YE7iVUXl5eHD58mBYtWgBw584dvvzyS2rUqAHAsmXL6NatG4sWLcLR0bHI2H19fQkJCQHA3d2d5cuXs2vXLl544QWio6NJSkoiJiZGPf7dd9/lhRdeKFX/jB07lldeeQW4t9j69u3bWb16NdOmTeOTTz7BxcWF5cuXo9FoqF+/Pn/++SdvvfUWs2fPfmTfPig7O5vs7Gx1PzMzs1SxCiGEEKJ0qtyIWcOGDenYsSM+Pj706dOHVatWcf36dbW+QYMG6Ovrq/tOTk6kpaUBkJCQgIGBgZpwAdjZ2eHp6UlCQoJaZmBgQPPmzdX9+vXrY21trdOmVq1aalIG4OfnR35+PomJicXG7uvrq7N/f2yJiYm4uLjoJHUFSWBp+Pn56dxHs2bN1LgTEhLw8/NDo9Gobfz9/cnKyuJ///vfI/v2QeHh4VhZWambi4tLqeMVQgghRMlVucRMX1+f6Ohotm3bhre3N8uWLcPT05Pk5GQADA0NddprNBry8/MrI9RCqnJs8Oi+fdCMGTPIyMhQt/vn4QkhhBCi/FW5xAzuJTT+/v6EhYVx4sQJjIyM2LBhwyOP8/LyIjc3l0OHDqllV69eJTExUWeR8NzcXI4eParuJyYmkp6ejpeXl1qWkpLCn3/+qe7/+uuv6Onp4enpWaZ78vT05PLly1y5ckUtO3LkSKnP8+uvv6o/5+bmcuzYMTVuLy8vdV5dgdjYWCwsLKhZsyZQur7VarVYWlrqbEIIIYSoOFUuMTt06BDz58/n6NGjpKSksH79ev7++2+dpKk47u7u9OzZk+HDh7N//37i4+P5z3/+Q40aNejZs6faztDQkHHjxnHo0CGOHTtGcHAwrVq10nm0aGxsTFBQEPHx8ezbt4/x48fTt2/fYueXPcoLL7xAvXr1CAoK4rfffiM2NpZ33nkHQOfR46N8/PHHbNiwgTNnzjBmzBiuX7/OkCFDABg9ejSXL19m3LhxnDlzhh9//JGQkBAmTZqEnp7eY/WtEEIIISpelUvMLC0t+eWXX+jatSseHh688847LFq0iC5dupTo+IiICJo2bUr37t3x8/NDURS2bt2q85jR1NSUt956i9deew1/f3/Mzc359ttvdc7j5uZG79696dq1Ky+++CK+vr588sknZb4vfX19Nm7cSFZWFs2bN2fYsGHqW5nGxiVfePK9997jvffeo2HDhuzfv59NmzZRrVo1AGrUqMHWrVs5fPgwDRs2ZNSoUQwdOlRNAB+3b4UQQghRsTTKM/athMjISCZOnEh6enqxbUJDQ9m4cSNxcXEVGktsbCzPP/8858+fp169eg9te/HiRerUqcOJEydo1KhRhcZVnMzMzHsf1p2OLGIuhBACkEXMS6rgb2hGRsZDpwZVuc9l/Jtt2LABc3Nz3N3dOX/+PBMmTMDf3/+RSZkQQgghng2SmD1BN27c4K233iIlJYVq1aoRGBjIokWLAJg/fz7z588v8rg2bdqwYsWKJxnqQ2XMeHi2L4QQQoiyeeYeZVZV165d49q1a0XWmZiY6HxTrbKUdBhWCCGEELrkUeZTxtbWFltb28oOQwghhBCVqMq9lSmEEEII8aySETNRalbhVvJWphBCPEPkzcsnR0bMhBBCCCGqCEnM/r+AgAAmTpxYZF1wcDC9evUq8/FCCCGEECUhiVkJLF26lMjIyMoOo8QiIyOxtrau7DCEEEIIUUoyx6wErKysKjsEIYQQQjwDZMSsGFu2bMHKyoqvvvqq0KPMmzdvMmjQIMzNzXFyclI/Enu/Tz75BHd3d4yNjXFwcODVV18t0XUDAgIYO3YsY8eOxcrKimrVqjFr1izu/9xcdnY2U6ZMoUaNGpiZmdGyZUtiYmIAiImJYfDgwWRkZKDRaNBoNISGhj5WTEIIIYR4MmTErAhff/01o0aN4uuvv6Z79+5ER0fr1E+dOpW9e/fy448/Ur16dd5++22OHz+urmF59OhRxo8fz5o1a2jdujXXrl1j3759Jb5+VFQUQ4cO5fDhwxw9epQRI0ZQq1Ythg8fDsDYsWM5ffo0a9euxdnZmQ0bNtC5c2dOnjxJ69atWbJkCbNnzyYxMREAc3PzMsWUnZ1Ndna2up+ZmVniexBCCCFE6Uli9oCPP/6YmTNn8tNPP9GuXbtC9VlZWaxevZr//ve/dOzYEbiXSNWsWVNtk5KSgpmZGd27d8fCwoLatWvTuHHjEsfg4uLC4sWL0Wg0eHp6cvLkSRYvXszw4cNJSUkhIiKClJQUnJ2dAZgyZQrbt28nIiKC+fPnY2VlhUajwdHR8bFiCg8PJywsrMRxCyGEEOLxyKPM+6xbt44333yT6OjoIpMygKSkJHJycmjZsqVaZmtri6enp7r/wgsvULt2berWrcvrr7/OV199xa1bt0ocR6tWrdBoNOq+n58f586dIy8vj5MnT5KXl4eHhwfm5ubqtnfvXpKSkoo9Z1limjFjBhkZGep2+fLlEt+DEEIIIUpPErP7NG7cGHt7e7744gseZwlRCwsLjh8/zjfffIOTkxOzZ8+mYcOGpKenP3aMWVlZ6Ovrc+zYMeLi4tQtISGBpUuXlmtMWq0WS0tLnU0IIYQQFUcSs/vUq1ePPXv28OOPPzJu3Lhi2xgaGnLo0CG17Pr165w9e1annYGBAYGBgSxYsIDffvuNixcvsnv37hLFcf+5AX799Vfc3d3R19encePG5OXlkZaWhpubm85W8OjSyMiIvLy8Qud9nJiEEEIIUfFkjtkDPDw82LNnDwEBARgYGLBkyRKdenNzc4YOHcrUqVOxs7OjevXqzJw5Ez29/8txN2/ezIULF2jbti02NjZs3bqV/Px8ncedD5OSksKkSZMYOXIkx48fZ9myZeqbnx4eHgwcOJBBgwaxaNEiGjduzN9//82uXbvw9fWlW7duuLq6kpWVxa5du2jYsCGmpqbs3r37sWISQgghRMWTxKwInp6e7N69m4CAAPT19QvVf/DBB2RlZdGjRw8sLCyYPHkyGRkZar21tTXr168nNDSUO3fu4O7uzjfffEODBg1KdP1BgwZx+/ZtWrRogb6+PhMmTGDEiBFqfUREBPPmzWPy5Mn88ccfVKtWjVatWtG9e3cAWrduzahRo+jXrx9Xr14lJCSEwMDAx4pJCCGEEBVPozzOZCpR7gICAmjUqFGhkbqqIDMz897Hdqcji5gLIcQzRBYxf3wFf0MzMjIeOmdb5pgJIYQQQlQR8ijzCUpJScHb27vY+tOnTz/BaMouY8bDs30hhBBClI0kZk+Qs7MzcXFxD60vWFpJCCGEEM8eScyeIAMDA9zc3Co7DCGEEEJUUZKYiVKzCreSyf9CCIFMihflTyb/CyGEEEJUEU9dYhYcHEyvXr0qOwygasUihBBCiKffU5eYVSVLly4lMjKyssMoNVdX1yr5nTQhhBDiWVfmOWZHjx7lu+++IyUlhZycHJ269evXP3ZgTwMrK6vKDkEIIYQQ/yJlGjFbu3YtrVu3JiEhgQ0bNnD37l1OnTrF7t27yy1ZWbduHT4+PpiYmGBnZ0dgYCA3b95U6xcuXIiTkxN2dnaMGTOGu3fvqnXXr19n0KBB2NjYYGpqSpcuXTh37pxaHxkZibW1NRs3bsTd3R1jY2M6derE5cuX1TahoaE0atSIlStX4uLigqmpKX379tVZeunBR5kBAQGMHz+eadOmYWtri6OjI6GhoTr3debMGZ5//nmMjY3x9vZm586daDQaNm7c+Mg+uXjxIhqNhvXr19O+fXtMTU1p2LAhBw8e1Gm3f/9+2rRpg4mJCS4uLowfP17tu4CAAC5dusSbb76JRqNBo9E88rpCCCGEeDLKlJjNnz+fxYsX89NPP2FkZMTSpUs5c+YMffv2pVatWo8dVGpqKgMGDGDIkCEkJCQQExND7969KVg9as+ePSQlJbFnzx6ioqKIjIzUeaQYHBzM0aNH2bRpEwcPHkRRFLp27aqTvN26dYt3332XL7/8ktjYWNLT0+nfv79OHOfPn+e7777jp59+Yvv27Zw4cYLRo0c/NPaoqCjMzMw4dOgQCxYsYM6cOURHRwOQl5dHr169MDU15dChQ3z22WfMnDmz1P0zc+ZMpkyZQlxcHB4eHgwYMIDc3FwAkpKS6Ny5M6+88gq//fYb3377Lfv372fs2LHAvdHMmjVrMmfOHFJTU0lNTS319YUQQghRMcr0KDMpKYlu3boBYGRkxM2bN9FoNLz55pt06NCBsLCwxwoqNTWV3NxcevfuTe3atQHw8fFR621sbFi+fDn6+vrUr1+fbt26sWvXLoYPH865c+fYtGkTsbGxtG7dGoCvvvoKFxcXNm7cSJ8+fQC4e/cuy5cvp2XLlsC9hMrLy4vDhw/TokULAO7cucOXX35JjRo1AFi2bBndunVj0aJFODo6Fhm7r68vISEhALi7u7N8+XJ27drFCy+8QHR0NElJScTExKjHv/vuu7zwwgul6p8pU6ao/R8WFkaDBg04f/489evXJzw8nIEDBzJx4kQ1ho8++oh27dqxYsUKbG1t0dfXx8LCoth7KJCdnU12dra6n5mZWao4hRBCCFE6ZRoxs7Gx4caNGwDUqFGD33//HYD09HRu3br12EE1bNiQjh074uPjQ58+fVi1ahXXr19X6xs0aIC+vr667+TkRFpaGgAJCQkYGBioCReAnZ0dnp6eJCQkqGUGBgY0b95c3a9fvz7W1tY6bWrVqqUmZQB+fn7k5+eTmJhYbOy+vr46+/fHlpiYiIuLi05CVJAElsb913BycgJQrxEfH09kZCTm5ubq1qlTJ/Lz80lOTi7VdcLDw7GyslI3FxeXUscqhBBCiJIrU2LWtm1b9fFcnz59mDBhAsOHD2fAgAF07NjxsYPS19cnOjqabdu24e3tzbJly/D09FQTC0NDQ532Go2G/Pz8x75ueXgSsd1/jYI5YgXXyMrKYuTIkcTFxalbfHw8586do169eqW6zowZM8jIyFC3++fgCSGEEKL8lelR5vLly7lz5w5wb76ToaEhBw4c4JVXXuGdd94pl8A0Gg3+/v74+/sze/ZsateuzYYNGx55nJeXF7m5uRw6dEh9lHn16lUSExN1FhDPzc3l6NGj6ohVYmIi6enpeHl5qW1SUlL4888/cXZ2BuDXX39FT08PT0/PMt2Tp6cnly9f5sqVKzg4OABw5MiRMp2rOE2aNOH06dMPXfrJyMiIvLy8R55Lq9Wi1WrLMzwhhBBCPESJRsz27t3L7du31X1bW1s1WdHT02P69Ols2rSJRYsWYWNj89hBHTp0iPnz53P06FFSUlJYv349f//9t07SVBx3d3d69uzJ8OHD2b9/P/Hx8fznP/+hRo0a9OzZU21naGjIuHHjOHToEMeOHSM4OJhWrVrpPFo0NjYmKCiI+Ph49u3bx/jx4+nbt+8j52YV54UXXqBevXoEBQXx22+/ERsbqyay5fV25FtvvcWBAwcYO3YscXFxnDt3jh9//FGd/A/3vmP2yy+/8Mcff/DPP/+Uy3WFEEII8fhKlJglJibSvn17rl69CtybBP6w7XFZWlryyy+/0LVrVzw8PHjnnXdYtGgRXbp0KdHxERERNG3alO7du+Pn54eiKGzdulXnEaCpqSlvvfUWr732Gv7+/pibm/Ptt9/qnMfNzY3evXvTtWtXXnzxRXx9ffnkk0/KfF/6+vps3LiRrKwsmjdvzrBhw9S3Mo2Ny2fxSV9fX/bu3cvZs2dp06YNjRs3Zvbs2WoiDTBnzhwuXrxIvXr1sLe3L5frCiGEEOLxaZSCb1A8wmeffcayZcs4efIkenp6RY7wKIqCRqMp0WOyyhQZGcnEiRNJT08vtk1oaCgbN24kLi6uQmOJjY3l+eef5/z586WeA/akZWZm3vtO3XRkEXMhhEAWMRclV/A3NCMjA0tLy2LblXiO2YgRI2jcuDFw7ztiomw2bNiAubk57u7unD9/ngkTJuDv71/lkzIhhBBCVLxSTf5v3rw5ubm57N27lyFDhlCzZs2Kiutf68aNG7z11lukpKRQrVo1AgMDWbRoEXDvw73z588v8rg2bdqwbdu2JxlqsTJmPDzbF0IIIUTZlPhR5v0sLCw4efIkrq6uFRDSs+vatWtcu3atyDoTExOdb6pVhpIOwwohhBBCV7k/yrxfhw4d2Lt3ryRm5czW1hZbW9vKDkMIIYQQlaRMiVmXLl2YPn06J0+epGnTppiZmenUv/TSS+USnBBCCCHEs6RMjzL19Ir/ysbT8FamKBt5K1MI8ayQty1FeavQR5lVZfkjIYQQQoh/kzKtlSkKCw4OplevXpUdhhBCCCGeYmVOzPbu3UuPHj1wc3PDzc2Nl156iX379pVnbCUSGhpKo0aNyu18AQEBTJw4sdTHLV26lMjIyHKLoyLFxMSg0Wge+oFdIYQQQjx5ZUrM/vvf/xIYGIipqSnjx49n/PjxmJiY0LFjR77++uvyjvGJyMnJeazjrayssLa2Lp9ghBBCCPFMKlNi9u6777JgwQK+/fZbNTH79ttvee+995g7d26pzpWfn094eDh16tTBxMSEhg0bsm7dOuD/RnZ27dpFs2bNMDU1pXXr1iQmJgL3llYKCwsjPj4ejUaDRqNRR63S09MZNmwY9vb2WFpa0qFDB+Lj49XrFoy0ff7559SpUwdjY2OCg4PZu3cvS5cuVc938eJF8vLyGDp0qBqjp6cnS5cu1bmPBx9lBgQEMH78eKZNm4atrS2Ojo6EhobqHKPRaFi5ciXdu3fH1NQULy8vDh48yPnz5wkICMDMzIzWrVuTlJSkc9yPP/5IkyZNMDY2pm7duoSFhZGbm6tz3s8//5yXX34ZU1NT3N3d2bRpEwAXL16kffv2ANjY2KDRaAgODi7Vv5kQQgghKkaZErMLFy7Qo0ePQuUvvfQSycnJpTpXeHg4X375JZ9++imnTp3izTff5D//+Q979+5V28ycOZNFixZx9OhRDAwMGDJkCAD9+vVj8uTJNGjQgNTUVFJTU+nXrx8Affr0IS0tjW3btnHs2DGaNGlCx44ddT7gev78eX744QfWr19PXFwcS5cuxc/Pj+HDh6vnc3FxIT8/n5o1a/L9999z+vRpZs+ezdtvv81333330HuLiorCzMyMQ4cOsWDBAubMmUN0dLROm7lz5zJo0CDi4uKoX78+r732GiNHjmTGjBkcPXoURVEYO3as2n7fvn0MGjSICRMmcPr0aVauXElkZCTvvvuuznnDwsLo27cvv/32G127dmXgwIFcu3YNFxcXfvjhB+De4vSpqamFkswC2dnZ5b5AvRBCCCGKV6a3Ml1cXNi1axdubm465Tt37sTFxaXE58nOzmb+/Pns3LkTPz8/AOrWrcv+/ftZuXIlI0aMAO6N0LVr1w6A6dOn061bN+7cuYOJiQnm5uYYGBjg6Oionnf//v0cPnyYtLQ0tFotAAsXLmTjxo2sW7dOPW9OTg5ffvkl9vb26rFGRkaYmprqnE9fX5+wsDB1v06dOhw8eJDvvvuOvn37Fnt/vr6+hISEAODu7s7y5cvZtWsXL7zwgtpm8ODB6jneeust/Pz8mDVrFp06dQJgwoQJDB48WG0fFhbG9OnTCQoKUvtr7ty5TJs2Tb0W3BvBGzBgAHBvqaePPvqIw4cP07lzZ/UjttWrV3/o49fw8HCd+xZCCCFExSpTYjZ58mTGjx9PXFwcrVu3BiA2NpbIyMhiR1+Kcv78eW7duqWTqMC9hKlgwXS4l+AUcHJyAiAtLY1atWoVed74+HiysrKws7PTKb99+7bOY8HatWvrJGUP8/HHH/PFF1+QkpLC7du3ycnJeeRLB/fHXRB7WlpasW0cHBwA8PHx0Sm7c+cOmZmZWFpaEh8fT2xsrM4IWV5eHnfu3OHWrVuYmpoWOq+ZmRmWlpaFrv0oM2bMYNKkSep+ZmZmqRJvIYQQQpROmRKzN954A0dHRxYtWqQ+zvPy8uLbb7+lZ8+eJT5PVlYWAFu2bCm0DqRWq1WTKENDQ7Vco9EAD/+WWlZWFk5OTsTExBSqu3+E6MEVC4qzdu1apkyZwqJFi/Dz88PCwoIPPviAQ4cOPfS4++MuiP3BuIu6t4fdb1ZWFmFhYfTu3bvQ9YyN/++rryW59qNotVp1xFEIIYQQFa9MiRnAyy+/zMsvv/xYF/f29kar1ZKSkqI+qrzfg5Pei2JkZFRopYEmTZrw119/YWBgUOr1PIs6X2xsLK1bt2b06NGliq0iNGnShMTExEKPkUvDyMgIQFZoEEIIIaqYMidm5cHCwoIpU6bw5ptvkp+fz/PPP09GRgaxsbFYWlpSu3btR57D1dWV5ORk4uLiqFmzJhYWFgQGBuLn50evXr1YsGABHh4e/Pnnn2zZsoWXX36ZZs2aPfR8hw4d4uLFi5ibm2Nra4u7uztffvklO3bsoE6dOqxZs4YjR45Qp06d8uyOEpk9ezbdu3enVq1avPrqq+jp6REfH8/vv//OvHnzSnSO2rVro9Fo2Lx5M127dlXn6gkhhBCicpXprUwbGxtsbW0LbXZ2dtSoUYN27doRERFRonPNnTuXWbNmER4ejpeXF507d2bLli0lTnpeeeUVOnfuTPv27bG3t+ebb75Bo9GwdetW2rZty+DBg/Hw8KB///5cunRJncdVnClTpqCvr4+3tzf29vakpKQwcuRIevfuTb9+/WjZsiVXr17VGT17kjp16sTmzZv5+eefad68Oa1atWLx4sUlSmIL1KhRQ32JwMHBQeetTyGEEEJUnjItYr548WLeffddunTpQosWLQA4fPgw27dv58033yQ5OZk1a9awbNkyhg8fXu5Bi8ohi5gLIZ4Vsoi5KG8Vuoj5/v37mTdvHqNGjdIpX7lyJT///DM//PADvr6+fPTRR5KY/QtlzHj4L5UQQgghyqZMjzJ37NhBYGBgofKOHTuyY8cOALp27cqFCxceLzohhBBCiGdImRIzW1tbfvrpp0LlP/30k/rx0ps3b2JhYfF40QkhhBBCPEPK9Chz1qxZvPHGG+zZs0edY3bkyBG2bt3Kp59+CkB0dHSRn8AQQgghhBBFK9Pkf7j3ba/ly5erC4p7enoybtw4dSUA8e8jk/+FEP82MslfPCkVOvkfwN/fH39//7IeLoQQQgghHlCmOWZw78v377zzDq+99pq6BuO2bds4depUuQX3bxEcHEyvXr0qOwwhhBBCVHFlSsz27t2Lj48Phw4d4ocfflDXvIyPjyckJKRcAxRCCCGEeFaUKTGbPn068+bNIzo6Wl13EaBDhw78+uuv5Rbc48jLyyv1ot3/Rjk5OZUdghBCCCFKqEyJ2cmTJ4tcwLx69er8888/ZQokICCAsWPHMnbsWKysrKhWrRqzZs2i4N2E7OxspkyZQo0aNTAzM6Nly5bExMSox0dGRmJtbc2mTZt0FkePiYmhRYsWmJmZYW1tjb+/P5cuXVKPW7FiBfXq1cPIyAhPT0/WrFmjE5dGo+Hzzz/n5ZdfxtTUFHd3dzZt2qTW5+XlMXToUOrUqYOJiQmenp4sXbq0TH0AkJ+fz4IFC3Bzc0Or1VKrVi3effddtf6tt97Cw8MDU1NT6taty6xZs7h7965aHxoaSqNGjfj888+pU6cOxsb3Zumnp6czbNgw7O3tsbS0pEOHDsTHx5c5TiGEEEKUvzJN/re2tiY1NbXQepYnTpygRo0aZQ4mKiqKoUOHcvjwYY4ePcqIESOoVasWw4cPZ+zYsZw+fZq1a9fi7OzMhg0b6Ny5MydPnsTd3R2AW7du8f777/P5559jZ2eHra0tjRo1Yvjw4XzzzTfk5ORw+PBhNBoNABs2bGDChAksWbKEwMBANm/ezODBg6lZsybt27dX4woLC2PBggV88MEHLFu2jIEDB3Lp0iVsbW3Jz8+nZs2afP/999jZ2XHgwAFGjBiBk5MTffv2LXUfzJgxg1WrVrF48WKef/55UlNTOXPmjFpvYWFBZGQkzs7OnDx5kuHDh2NhYcG0adPUNufPn+eHH35g/fr16OvrA9CnTx9MTEzYtm0bVlZWrFy5ko4dO3L27Fn123NCCCGEqFxl+lzGlClTOHToEN9//z0eHh4cP36cK1euMGjQIAYNGlSmeWYBAQGkpaVx6tQpNXGaPn06mzZtYvv27dStW5eUlBScnZ3VYwIDA2nRogXz588nMjKSwYMHExcXR8OGDQG4du0adnZ2xMTEFPlNNX9/fxo0aMBnn32mlvXt25ebN2+yZcsW4N6I2TvvvMPcuXOBex/ONTc3Z9u2bXTu3LnIexk7dix//fUX69atA+5N/k9PT2fjxo0P7YMbN25gb2/P8uXLGTZsWIn6beHChaxdu5ajR48C90bM5s+fzx9//IG9vT1wbwmtbt26kZaWhlarVY91c3Nj2rRpjBgxoshzZ2dnk52dre5nZmbi4uIin8sQQvxryOcyxJNS0s9llOlR5vz586lfvz4uLi5kZWXh7e1N27Ztad26Ne+8806Zg27VqpWalAH4+flx7tw5Tp48SV5eHh4eHpibm6vb3r17SUpKUtsbGRnh6+ur7tva2hIcHEynTp3o0aMHS5cuJTU1Va1PSEgo9MkPf39/EhISdMruP6eZmRmWlpbqm6gAH3/8MU2bNsXe3h5zc3M+++wzUlJSSn3/CQkJZGdn07Fjx2LbfPvtt/j7++Po6Ii5uTnvvPNOoWvVrl1bTcrg3ksZWVlZ2NnZ6fRfcnKyTv89KDw8HCsrK3VzcXEp9T0JIYQQouTK9CjTyMiIVatWMXv2bE6ePElWVhaNGzdWHymWt6ysLPT19Tl27Jj6aK6Aubm5+rOJiYlOYgcQERHB+PHj2b59O99++y3vvPMO0dHRtGrVqsTXNzQ01NnXaDTqiwVr165lypQpLFq0CD8/PywsLPjggw84dOhQaW8TExOTh9YfPHiQgQMHEhYWRqdOnbCysmLt2rUsWrRIp52ZmZnOflZWFk5OTjpz8gpYW1sXe70ZM2YwadIkdV8dMRNCCCFEhShTYjZnzhymTJmCi4uLzh/q27dv88EHHzB79uwyBfNgMvPrr7/i7u5O48aNycvLIy0tjTZt2pT6vI0bN6Zx48bMmDEDPz8/vv76a1q1aoWXlxexsbEEBQWpbWNjY/H29i7xuWNjY2ndujWjR49Wyx42CvUw7u7umJiYsGvXriIfZR44cIDatWszc+ZMtez+FxmK06RJE/766y8MDAxwdXUtcTxarVbn0acQQgghKlaZHmWGhYWp3y67361btwgLCytzMCkpKUyaNInExES++eYbli1bxoQJE/Dw8GDgwIEMGjSI9evXk5yczOHDhwkPD1fnghUlOTmZGTNmcPDgQS5dusTPP//MuXPn8PLyAmDq1KlERkayYsUKzp07x4cffsj69euZMmVKiWN2d3fn6NGj7Nixg7NnzzJr1iyOHDlSpvs3NjbmrbfeYtq0aXz55ZckJSXx66+/snr1avVaKSkprF27lqSkJD766CM2bNjwyPMGBgbi5+dHr169+Pnnn7l48SIHDhxg5syZ6tw0IYQQQlS+Mo2YKYpS6JEh3JvL9Dhv+A0aNIjbt2/TokUL9PX1mTBhgjoxPSIignnz5jF58mT++OMPqlWrRqtWrejevXux5zM1NeXMmTNERUVx9epVnJycGDNmDCNHjgSgV69eLF26lIULFzJhwgTq1KlDREQEAQEBJY555MiRnDhxgn79+qHRaBgwYACjR49m27ZtZeqDWbNmYWBgwOzZs/nzzz9xcnJi1KhRALz00ku8+eabjB07luzsbLp168asWbMIDQ196Dk1Gg1bt25l5syZDB48mL///htHR0fatm2Lg4NDmeIUQgghRPkr1VuZNjY2aDQa9Y2C+5OzvLw8srKyGDVqFB9//HGpAwkICKBRo0YsWbKk1MeKJ0MWMRdC/NvIW5niSamQRcyXLFmCoigMGTKEsLCwe3+k/z8jIyNcXV3x8/Mre9RCCCGEEM+wUiVmBZPk69SpQ+vWrQu9rSgeLiUl5aEvFpw+fZpatWo9wYjKJmPGw7N9IYQQQpRNmT4we787d+4UWo9R/mgXLTc3l4sXLxZb7+rqioFBmab9PRElHYYVQgghhK4KeZRZ4NatW0ybNo3vvvuOq1evFqrPy8sry2n/9QwMDHBzc6vsMIQQQghRRZXpcxlTp05l9+7drFixAq1Wy+eff05YWBjOzs58+eWX5R2jEEIIIcQzoUyPMmvVqsWXX35JQEAAlpaWHD9+HDc3N9asWcM333zD1q1bKyJWUcnkrUwhxL+NvJUpnpQKXSvz2rVr1K1bF7g3n+zatWsAPP/88/zyyy9lOaUQQgghxDOvTIlZ3bp1SU5OBqB+/fp89913APz0008PXXuxoimKwogRI7C1tUWj0RAXF1ch1wkICGDixIllPt7V1VXne20ajYaNGzeW+PjIyMhK7WchhBBCVIwyTf4fPHgw8fHxtGvXjunTp9OjRw+WL19OTk4OixcvLu8YS2z79u1ERkYSExND3bp1qVatWqXFUhqpqanY2NiUuH2/fv3o2rVrBUYkhBBCiMpQpsTszTffVH8ODAzkzJkzHDt2DHd3d3x8fMotuNJKSkrCycmJ1q1bV1oMZeHo6Fiq9iYmJpiYmFRQNEIIIYSoLKV6lLl79268vb3JzMzUKa9duzYdO3akf//+7Nu3r1wDLKng4GDGjRtHSkoKGo0GV1dXsrOzGT9+PNWrV8fY2Jjnn3++0ALje/fupUWLFmi1WpycnJg+fTq5ublq/c2bNxk0aBDm5uY4OTmxaNGiUsWVlpZGjx49MDExoU6dOnz11VeF2tz/KPPixYtoNBrWr19P+/btMTU1pWHDhhw8eFBt/+CjzNDQUBo1asSaNWtwdXXFysqK/v37c+PGDbXNjRs3GDhwIGZmZjg5ObF48eLHfiQrhBBCiPJVqsRsyZIlDB8+vMi3CaysrBg5ciQffvhhuQVXGkuXLmXOnDnUrFmT1NRUjhw5wrRp0/jhhx+IiopS3xzt1KmT+rLCH3/8QdeuXWnevDnx8fGsWLGC1atXM2/ePPW8U6dOZe/evfz444/8/PPPxMTEcPz48RLHFRwczOXLl9mzZw/r1q3jk08+IS0t7ZHHzZw5kylTphAXF4eHhwcDBgzQSRgflJSUxMaNG9m8eTObN29m7969vPfee2r9pEmTiI2NZdOmTURHR7Nv375H3kd2djaZmZk6mxBCCCEqTqkSs/j4eDp37lxs/YsvvsixY8ceO6iysLKywsLCAn19fRwdHTE1NWXFihV88MEHdOnSBW9vb1atWoWJiQmrV68G4JNPPsHFxYXly5dTv359evXqRVhYGIsWLSI/P5+srCxWr17NwoUL6dixIz4+PkRFRT00Qbrf2bNn2bZtG6tWraJVq1Y0bdqU1atXc/v27UceO2XKFLp164aHhwdhYWFcunSJ8+fPF9s+Pz+fyMhInnvuOdq0acPrr7/Orl27gHujZVFRUep9PPfcc0RERDzyQ8Dh4eFYWVmpm4uLS4nuWwghhBBlU6rE7MqVKw9dH9PAwIC///77sYMqD0lJSdy9exd/f3+1zNDQkBYtWpCQkABAQkICfn5+aDQatY2/vz9ZWVn873//IykpiZycHFq2bKnW29ra4unpWaIYEhISMDAwoGnTpmpZ/fr1S/RGpa+vr/qzk5MTwENH2lxdXbGwsNA5pqD9hQsXuHv3Li1atFDrraysHnkfM2bMICMjQ90uX778yLiFEEIIUXalmvxfo0YNfv/992KXFfrtt9/UJEI8nvsT4ILEMT8/v0TtC455WPuS0Gq1aLXaxzqHEEIIIUquVCNmXbt2ZdasWdy5c6dQ3e3btwkJCaF79+7lFtzjqFevHkZGRsTGxqpld+/e5ciRI3h7ewPg5eXFwYMHuX/xg9jYWCwsLKhZsyb16tXD0NCQQ4cOqfXXr1/n7NmzJYqhfv365Obm6jzeTUxMJD09/THvrnTq1q2LoaGhzosPGRkZJb4PIYQQQjwZpRoxe+edd1i/fj0eHh6MHTtWfRR25swZPv74Y/Ly8pg5c2aFBFpaZmZmvPHGG0ydOhVbW1tq1arFggULuHXrFkOHDgVg9OjRLFmyhHHjxjF27FgSExMJCQlh0qRJ6OnpYW5uztChQ5k6dSp2dnZUr16dmTNnoqdXsnzW09OTzp07M3LkSFasWIGBgQETJ0584p+6sLCwICgoSO2L6tWrExISgp6ens5jXCGEEEJUrlIlZg4ODhw4cIA33niDGTNmqCNNGo2GTp068fHHH+Pg4FAhgZbFe++9R35+Pq+//jo3btygWbNm7NixQ/2Ya40aNdi6dStTp06lYcOG2NraMnToUN555x31HB988AFZWVn06NEDCwsLJk+eTEZGRoljiIiIYNiwYbRr1w4HBwfmzZvHrFmzyv1eH+XDDz9k1KhRdO/eHUtLS6ZNm8bly5cxNpZFL4UQQoiqokyLmMO9R3rnz59HURTc3d1L9eV6Uflu3rxJjRo1WLRokTqC+CiyiLkQ4t9GFjEXT0pJFzEv05f/AWxsbGjevHlZDxdP2IkTJzhz5gwtWrQgIyODOXPmANCzZ89SnytjxsN/qYQQQghRNmVOzATs27ePLl26FFuflZX1BKN5tIULF5KYmIiRkRFNmzZl3759T816okIIIcSzoMyPMsW9N1H/+OOPYuuL+6zI06qkw7BCCCGE0FXhjzLFvcXE/23JlxBCCCEqjyRmotSswq1k8r8Q4omTifriWVCqD8wKIYQQQoiKU2USs4CAACZOnFih13B1dWXJkiUPbRMaGkqjRo3KfA1FURgxYgS2trZoNBri4uKeyL0JIYQQ4ulXZRKzyqDRaNi4cWO5nnP79u1ERkayefNmUlNTee6551i/fj1z585V25QkQRRCCCHEs0fmmJWzpKQknJycaN26tVpma2tbiREJIYQQ4mlRpUbM8vPzmTZtGra2tjg6OhIaGqrWpaenM2zYMOzt7bG0tKRDhw7Ex8er9UlJSfTs2RMHBwfMzc1p3rw5O3fuLPZarq6uALz88stoNBp1v8CaNWtwdXXFysqK/v37c+PGjUfGHxwczLhx40hJSdE55/2PMgMCArh06RJvvvkmGo1GXasyMjISa2trduzYgZeXF+bm5nTu3JnU1FSda3z++ed4eXlhbGxM/fr1+eSTT9S6nJwcxo4di5OTE8bGxtSuXZvw8HDg3iPW0NBQatWqhVarxdnZmfHjxz/ynoQQQgjx5FSpxCwqKgozMzMOHTrEggULmDNnDtHR0QD06dOHtLQ0tm3bxrFjx2jSpAkdO3bk2rVrwL2PuXbt2pVdu3Zx4sQJOnfuTI8ePUhJSSnyWkeOHAHurWWZmpqq7sO9JG/jxo1s3ryZzZs3s3fvXt57771Hxr906VLmzJlDzZo1C52zwPr166lZsyZz5swhNTVVJ/G6desWCxcuZM2aNfzyyy+kpKQwZcoUtf6rr75i9uzZvPvuuyQkJDB//nxmzZpFVFQUAB999BGbNm3iu+++IzExka+++kpNDn/44QcWL17MypUrOXfuHBs3bsTHx+eh95OdnU1mZqbOJoQQQoiKU6UeZfr6+hISEgKAu7s7y5cvZ9euXZiYmHD48GHS0tLQarXAva/Yb9y4kXXr1jFixAgaNmxIw4YN1XPNnTuXDRs2sGnTJsaOHVvoWvb29gBYW1vj6OioU5efn09kZCQWFhYAvP766+zatYt33333ofFbWVlhYWGBvr5+oXMWsLW1RV9fHwsLi0Jt7t69y6effkq9evUAGDt2rLp0EkBISAiLFi2id+/eANSpU4fTp0+zcuVKgoKCSElJwd3dneeffx6NRkPt2rXVY1NSUnB0dCQwMBBDQ0Nq1apFixYtHno/4eHhhIWFPbSNEEIIIcpPlRox8/X11dl3cnIiLS2N+Ph4srKysLOzw9zcXN2Sk5NJSkoC7o2YTZkyBS8vL6ytrTE3NychIaHYEbOHcXV1VZOy++OoaKampmpS9uB1b968SVJSEkOHDtXpg3nz5ql9EBwcTFxcHJ6enowfP56ff/5ZPVefPn24ffs2devWZfjw4WzYsIHc3NyHxjNjxgwyMjLU7fLlyxVw10IIIYQoUKVGzAwNDXX2NRoN+fn5ZGVl4eTkRExMTKFjrK2tAZgyZQrR0dEsXLgQNzc3TExMePXVV8nJySm3OCpaUdctWDGrYN3NVatW0bJlS512+vr6ADRp0oTk5GS2bdvGzp076du3L4GBgaxbtw4XFxcSExPZuXMn0dHRjB49mg8++IC9e/cWum4BrVarjlAKIYQQouJVqcSsOE2aNOGvv/7CwMCg0CT9ArGxsQQHB/Pyyy8D9xKZixcvPvS8hoaG5OXllXO0j2ZkZFTq6zo4OODs7MyFCxcYOHBgse0sLS3p168f/fr149VXX6Vz585cu3YNW1tbTExM6NGjBz169GDMmDHUr1+fkydP0qRJk8e9JSGEEEKUg6ciMQsMDMTPz49evXqxYMECPDw8+PPPP9myZQsvv/wyzZo1w93dnfXr19OjRw80Gg2zZs165CiXq6sru3btwt/fH61Wi42NzRO5H1dXV3755Rf69++PVqulWrVqJTouLCyM8ePHY2VlRefOncnOzubo0aNcv36dSZMm8eGHH+Lk5ETjxo3R09Pj+++/x9HREWtrayIjI8nLy6Nly5aYmpry3//+FxMTE515aEIIIYSoXFVqjllxNBoNW7dupW3btgwePBgPDw/69+/PpUuXcHBwAODDDz/ExsaG1q1b06NHDzp16vTIkaBFixYRHR2Ni4sLjRs3fhK3AsCcOXO4ePEi9erVU19CKIlhw4bx+eefExERgY+PD+3atSMyMpI6deoAYGFhwYIFC2jWrBnNmzfn4sWLbN26FT09PaytrVm1ahX+/v74+vqyc+dOfvrpJ+zs7CrqNoUQQghRShqlYBKTEI+QmZmJlZUVTEcWMRdCPHGyiLl4mhX8Dc3IyMDS0rLYdk/FiJkQQgghxLPgqZhjVlWkpKTg7e1dbP3p06epVavWE4yocmTMeHi2L4QQQoiykcSsFJydnYmLi3tovRBCCCFEWUliVgoGBga4ublVdhhCCCGE+JeSxEyUmlW4lUz+F0KUmkzeF+LRZPK/EEIIIUQVIYmZEEIIIUQVIYnZY4qJiUGj0ZCenl7ZoQghhBDiKSeJ2WNq3bo1qamp9z68KoQQQgjxGGTy/2MyMjLC0dGxssMQQgghxL+AjJg9ICAggHHjxjFx4kRsbGxwcHBg1apV3Lx5k8GDB2NhYYGbmxvbtm0DCj/KvHTpEj169MDGxgYzMzMaNGjA1q1b1fOfOnWK7t27Y2lpiYWFBW3atCEpKemRcQUHB9OrVy/CwsKwt7fH0tKSUaNGkZOTo7bJzs5m/PjxVK9eHWNjY55//nmOHDmi1l+/fp2BAwdib2+PiYkJ7u7uRERElFPPCSGEEOJxSWJWhKioKKpVq8bhw4cZN24cb7zxBn369KF169YcP36cF198kddff51bt24VOnbMmDFkZ2fzyy+/cPLkSd5//33Mzc0B+OOPP2jbti1arZbdu3dz7NgxhgwZQm5uboni2rVrFwkJCcTExPDNN9+wfv16wsLC1Ppp06bxww8/EBUVxfHjx3Fzc6NTp05cu3YNgFmzZnH69Gm2bdtGQkICK1asoFq1asVeLzs7m8zMTJ1NCCGEEBVHFjF/QEBAAHl5eezbtw+AvLw8rKys6N27N19++SUAf/31F05OThw8eJA7d+7Qvn17rl+/jrW1Nb6+vrzyyiuEhIQUOvfbb7/N2rVrSUxMxNDQsFRxBQcH89NPP3H58mVMTU0B+PTTT5k6dSoZGRncvn0bGxsbIiMjee211wC4e/curq6uTJw4kalTp/LSSy9RrVo1vvjiixJdMzQ0VCfxU8ki5kKIMpDvmIlnmSxi/hh8fX3Vn/X19bGzs8PHx0ctc3BwACAtLa3QsePHj2fevHn4+/sTEhLCb7/9ptbFxcXRpk2bUidlBRo2bKgmZQB+fn5kZWVx+fJlkpKSuHv3Lv7+/mq9oaEhLVq0ICEhAYA33niDtWvX0qhRI6ZNm8aBAwceer0ZM2aQkZGhbpcvXy5T3EIIIYQoGUnMivBg4qTRaHTKNBoNAPn5+YWOHTZsGBcuXOD111/n5MmTNGvWjGXLlgFgYmJSgVE/WpcuXbh06RJvvvkmf/75Jx07dmTKlCnFttdqtVhaWupsQgghhKg4kphVABcXF0aNGsX69euZPHkyq1atAu6NxO3bt4+7d++W6bzx8fHcvn1b3f/1118xNzfHxcWFevXqYWRkRGxsrFp/9+5djhw5gre3t1pmb29PUFAQ//3vf1myZAmfffZZGe9SCCGEEOVNErNyNnHiRHbs2EFycjLHjx9nz549eHl5ATB27FgyMzPp378/R48e5dy5c6xZs4bExMQSnTsnJ4ehQ4dy+vRptm7dSkhICGPHjkVPTw8zMzPeeOMNpk6dyvbt2zl9+jTDhw/n1q1bDB06FIDZs2fz448/cv78eU6dOsXmzZvV2IQQQghR+eQ7ZuUsLy+PMWPG8L///Q9LS0s6d+7M4sWLAbCzs2P37t1MnTqVdu3aoa+vT6NGjXTmhT1Mx44dcXd3p23btmRnZzNgwABCQ0PV+vfee4/8/Hxef/11bty4QbNmzdixYwc2NjbAvW+uzZgxg4sXL2JiYkKbNm1Yu3ZtufeBEEIIIcpG3sp8SgQHB5Oens7GjRsrLYaCN0rkrUwhRFnIW5niWVbStzJlxEyUWsaMh/9SCSGEEKJsJDGrIgo+QluUglUGhBBCCPHvJolZFREXF1dsXY0aNWjTps2TC0YIIYQQlUISsyrCzc2tskMQQgghRCWTxEyUmlW4lUz+F6KcyIR4IcT95DtmQgghhBBVhCRm5SAmJgaNRkN6enplhyKEEEKIp5gkZuWgdevWpKam3vvGVxUXGRmJtbV1ZYchhBBCiCLIHLNyYGRkhKOjY2WHIYQQQoinnIyYFSEgIIBx48YxceJEbGxscHBwYNWqVdy8eZPBgwdjYWGBm5ub+n2xBx9lXrp0iR49emBjY4OZmRkNGjRg69at6vlPnTpF9+7dsbS0xMLCgjZt2pCUlPTIuIKDg+nVqxcLFy7EyckJOzs7xowZo7MoenZ2NlOmTKFGjRqYmZnRsmVLYmJi1DgHDx5MRkYGGo0GjUajs6STEEIIISqXJGbFiIqKolq1ahw+fJhx48bxxhtv0KdPH1q3bs3x48d58cUXef3117l161ahY8eMGUN2dja//PILJ0+e5P3331c/IPvHH3/Qtm1btFotu3fv5tixYwwZMoTc3NwSxbVnzx6SkpLYs2cPUVFRREZGEhkZqdaPHTuWgwcPsnbtWn777Tf69OlD586dOXfuHK1bt2bJkiVYWlqSmppKamoqU6ZMKfZa2dnZZGZm6mxCCCGEqDiyVmYRAgICyMvLY9++fcC9hcmtrKzo3bs3X375JQB//fUXTk5OHDx4kDt37tC+fXuuX7+OtbU1vr6+vPLKK4SEhBQ699tvv83atWtJTEzE0NCwVHEFBwcTExNDUlIS+vr6APTt2xc9PT3Wrl1LSkoKdevWJSUlBWdnZ/W4wMBAWrRowfz584mMjGTixIklelEhNDSUsLCwwhWyVqYQ5UY+lyHEs6Gka2XKiFkxfH191Z/19fWxs7PDx8dHLXNwcAAgLS2t0LHjx49n3rx5+Pv7ExISwm+//abWxcXF0aZNm1InZQUaNGigJmUATk5OagwnT54kLy8PDw8PzM3N1W3v3r0lelT6oBkzZpCRkaFuly9fLlPMQgghhCgZmfxfjAcTJ41Go1Om0WgAyM/PL3TssGHD6NSpE1u2bOHnn38mPDycRYsWMW7cOExMTMo9roIYsrKy0NfX59ixYzrJGzx8Lc7iaLVatFpt2YMVQgghRKnIiFkFcXFxYdSoUaxfv57JkyezatUq4N5I3L59+3Qm7JeXxo0bk5eXR1paGm5ubjpbwVujRkZG5OXllfu1hRBCCPH4JDGrABMnTmTHjh0kJydz/Phx9uzZg5eXF3Bvcn5mZib9+/fn6NGjnDt3jjVr1pCYmPjY1/Xw8GDgwIEMGjSI9evXk5yczOHDhwkPD2fLli0AuLq6kpWVxa5du/jnn3+KfHlBCCGEEJVDErMKkJeXx5gxY/Dy8qJz5854eHjwySefAGBnZ8fu3bvJysqiXbt2NG3alFWrVpV5ztmDIiIiGDRoEJMnT8bT05NevXpx5MgRatWqBdz7GO6oUaPo168f9vb2LFiwoFyuK4QQQojHJ29lihIreKNE3soUovzIW5lCPBvkrUwhhBBCiKeMvJVZhTzszclt27bRpk2bJxhN8TJmPDzbF0IIIUTZSGJWhcTFxRVbV6NGjScXiBBCCCEqhSRmVYibm1tlhyCEEEKISiSJmSg1q3ArmfwvKoRMhBdCPOtk8r8QQgghRBUhiZkQQgghRBUhidkzKDQ0lEaNGlV2GEIIIYR4wDOZmOXk5DxT1xVCCCHE0+FfkZjduHGDgQMHYmZmhpOTE4sXLyYgIICJEycC99aHnDt3LoMGDcLS0pIRI0YA8MMPP9CgQQO0Wi2urq4sWrRI57zZ2dm89dZbuLi4oNVqcXNzY/Xq1Wr977//TpcuXTA3N8fBwYHXX3+df/75R60PCAhg7NixTJw4kWrVqtGpUyeGDBlC9+7dda5z9+5dqlevrnPu4gQEBDB+/HimTZuGra0tjo6OhIaG6rRJT09n2LBh2NvbY2lpSYcOHYiPjwcgMjKSsLAw4uPj0Wg0aDQaIiMjS9rVQgghhKhA/4rEbNKkScTGxrJp0yaio6PZt28fx48f12mzcOFCGjZsyIkTJ5g1axbHjh2jb9++9O/fn5MnTxIaGsqsWbN0kpRBgwbxzTff8NFHH5GQkMDKlSvVj8Cmp6fToUMHGjduzNGjR9m+fTtXrlyhb9++OteNiorCyMiI2NhYPv30U4YNG8b27dtJTU1V22zevJlbt27Rr1+/Et1vVFQUZmZmHDp0iAULFjBnzhyio6PV+j59+pCWlsa2bds4duwYTZo0oWPHjly7do1+/foxefJkGjRoQGpqKqmpqSW+rhBCCCEq1lO/VuaNGzews7Pj66+/5tVXXwUgIyMDZ2dnhg8fzpIlS3B1daVx48Zs2LBBPW7gwIH8/fff/Pzzz2rZtGnT2LJlC6dOneLs2bN4enoSHR1NYGBgoevOmzePffv2sWPHDrXsf//7Hy4uLiQmJuLh4UFAQACZmZmFksQGDRoQFBTEtGnTAHjppZews7MjIiLikfcbEBBAXl4e+/btU8tatGhBhw4deO+999i/fz/dunUjLS0NrVartnFzc2PatGmMGDGC0NBQNm7c+NAP2sK9EcPs7Gx1PzMzExcXF1krU1QY+VyGEOLf6plZK/PChQvcvXuXFi1aqGVWVlZ4enrqtGvWrJnOfkJCAv7+/jpl/v7+nDt3jry8POLi4tDX16ddu3ZFXjc+Pp49e/Zgbm6ubvXr1wcgKSlJbde0adNCxw4bNkxNwq5cucK2bdsYMmRIie/Z19dXZ9/JyYm0tDQ1rqysLOzs7HRiS05O1omrJMLDw7GyslI3FxeXUh0vhBBCiNJ5Zj4wa2ZmVqr2JiYmD63PysqiR48evP/++4XqnJycHnrdQYMGMX36dA4ePMiBAweoU6dOqdbBNDQ01NnXaDTk5+ercTk5ORETE1PoOGtr6xJfA2DGjBlMmjRJ3VdHzIQQQghRIZ76xKxu3boYGhpy5MgRatWqBdx7lHn27Fnatm1b7HFeXl7ExsbqlMXGxuLh4YG+vj4+Pj7k5+ezd+/eIh9lNmnShB9++AFXV1cMDErXjXZ2dvTq1YuIiAgOHjzI4MGDS3X8wzRp0oS//voLAwMDXF1di2xjZGREXl7eI8+l1Wp1HocKIYQQomI99Y8yLSwsCAoKYurUqezZs4dTp04xdOhQ9PT00Gg0xR43efJkdu3axdy5czl79ixRUVEsX76cKVOmAPfe5AwKCmLIkCFs3LiR5ORkYmJi+O677wAYM2YM165dY8CAARw5coSkpCR27NjB4MGDS5T0DBs2jKioKBISEggKCiqfzgACAwPx8/OjV69e/Pzzz1y8eJEDBw4wc+ZMjh49qt5bcnIycXFx/PPPPzrzyIQQQghReZ76xAzgww8/xM/Pj+7duxMYGIi/vz9eXl4YGxc/Q71JkyZ89913rF27lueee47Zs2czZ84cgoOD1TYrVqzg1VdfZfTo0dSvX5/hw4dz8+ZNAJydnYmNjSUvL48XX3wRHx8fJk6ciLW1NXp6j+7WwMBAnJyc6NSpE87Ozo/dBwU0Gg1bt26lbdu2DB48GA8PD/r378+lS5dwcHAA4JVXXqFz5860b98ee3t7vvnmm3K7vhBCCCHK7ql/K7MoN2/epEaNGixatIihQ4dWdjhFysrKokaNGkRERNC7d+/KDqdECt4okbcyRUWRtzKFEP9WJX0r86mfYwZw4sQJzpw5Q4sWLcjIyGDOnDkA9OzZs5IjKyw/P59//vmHRYsWYW1tzUsvvVTZIQkhhBCiivhXJGZw7wOyiYmJGBkZ0bRpU/bt20e1atUqO6xCUlJSqFOnDjVr1iQyMlLnxYGUlBS8vb2LPfb06dPqCw6VKWPGw7N9IYQQQpTNv/JR5tMqNzeXixcvFltfljdAy1NJh2GFEEIIoeuZepT5b2FgYICbm1tlhyGEEEKISvKveCtTCCGEEOLfQEbMRKlZhVvJW5miWPJmpRBClJ2MmAkhhBBCVBGSmD2jLl68iEajIS4urrJDEUIIIcT/J4nZExQQEMDEiRMrOwwhhBBCVFGSmFUhiqKQm5tb2WEIIYQQopJIYvaEBAcHs3fvXpYuXYpGo0Gj0RAZGYlGo2Hbtm00bdoUrVbL/v37SUpKomfPnjg4OGBubk7z5s3ZuXOneq63336bli1bFrpGw4YN1VUPAD7//HN1zdD69evzySefPJF7FUIIIUTZSGL2hCxduhQ/Pz+GDx9OamoqqampuLi4ADB9+nTee+89EhIS8PX1JSsri65du7Jr1y5OnDhB586d6dGjBykpKQAMHDiQw4cPk5SUpJ7/1KlT/Pbbb7z22msAfPXVV8yePZt3332XhIQE5s+fz6xZs4iKiipxzNnZ2WRmZupsQgghhKg4kpg9IVZWVhgZGWFqaoqjoyOOjo7o6+sDMGfOHF544QXq1auHra0tDRs2ZOTIkTz33HO4u7szd+5c6tWrx6ZNmwBo0KABDRs25Ouvv1bP/9VXX9GyZUv1A7UhISEsWrSI3r17U6dOHXr37s2bb77JypUrSxxzeHg4VlZW6laQSAohhBCiYkhiVgU0a9ZMZz8rK4spU6bg5eWFtbU15ubmJCQkqCNmcG/UrCAxUxSFb775hoEDBwJw8+ZNkpKSGDp0KObm5uo2b948nVG2R5kxYwYZGRnqdvny5XK4WyGEEEIURz4wWwWYmZnp7E+ZMoXo6GgWLlyIm5sbJiYmvPrqq+Tk5KhtBgwYwFtvvcXx48e5ffs2ly9fpl+/fsC9xA5g1apVheaiFYzSlYRWq0Wr1Zb1toQQQghRSpKYPUFGRkbk5eU9sl1sbCzBwcG8/PLLwL1E68HFzWvWrEm7du346quvuH37Ni+88ALVq1cHwMHBAWdnZy5cuKCOogkhhBCi6pPE7AlydXXl0KFDXLx4EXNzc/Lz84ts5+7uzvr16+nRowcajYZZs2YV2XbgwIGEhISQk5PD4sWLderCwsIYP348VlZWdO7cmezsbI4ePcr169eZNGlShdyfEEIIIR6PzDF7gqZMmYK+vj7e3t7Y29vrzBm734cffoiNjQ2tW7emR48edOrUiSZNmhRq9+qrr3L16lVu3bpFr169dOqGDRvG559/TkREBD4+PrRr147IyEjq1KlTEbcmhBBCiHKgURRFVhwWJZKZmYmVlRVMRxYxF8WSRcyFEKKwgr+hGRkZWFpaFttORsyEEEIIIaoImWMmSi1jxsOzfSGEEEKUjYyYCSGEEEJUEZKYCSGEEEJUEZKYCSGEEEJUEZKYCSGEEEJUEZKYCSGEEEJUEZKYCSGEEEJUEZKYCSGEEEJUEZKYCSGEEEJUEZKYCSGEEEJUEZKYCSGEEEJUEbIkkyixgvXuMzMzKzkSIYQQ4ulS8Lez4G9pcSQxEyV29epVAFxcXCo5EiGEEOLpdOPGDaysrIqtl8RMlJitrS0AKSkpD/2lEoVlZmbi4uLC5cuXZQH4UpB+Kzvpu7KTvis76bviKYrCjRs3cHZ2fmg7ScxEienp3ZuSaGVlJf/BlZGlpaX0XRlIv5Wd9F3ZSd+VnfRd0UoyqCGT/4UQQgghqghJzIQQQgghqghJzESJabVaQkJC0Gq1lR3KU0f6rmyk38pO+q7spO/KTvru8WmUR723KYQQQgghnggZMRNCCCGEqCIkMRNCCCGEqCIkMRNCCCGEqCIkMRNCCCGEqCIkMRMl8vHHH+Pq6oqxsTEtW7bk8OHDlR1Shfrll1/o0aMHzs7OaDQaNm7cqFOvKAqzZ8/GyckJExMTAgMDOXfunE6ba9euMXDgQCwtLbG2tmbo0KFkZWXptPntt99o06YNxsbGuLi4sGDBgkKxfP/999SvXx9jY2N8fHzYunVrud9veQkPD6d58+ZYWFhQvXp1evXqRWJiok6bO3fuMGbMGOzs7DA3N+eVV17hypUrOm1SUlLo1q0bpqamVK9enalTp5Kbm6vTJiYmhiZNmqDVanFzcyMyMrJQPE/T7+2KFSvw9fVVP8zp5+fHtm3b1Hrpt5J777330Gg0TJw4US2T/itaaGgoGo1GZ6tfv75aL/1WCRQhHmHt2rWKkZGR8sUXXyinTp1Shg8frlhbWytXrlyp7NAqzNatW5WZM2cq69evVwBlw4YNOvXvvfeeYmVlpWzcuFGJj49XXnrpJaVOnTrK7du31TadO3dWGjZsqPz666/Kvn37FDc3N2XAgAFqfUZGhuLg4KAMHDhQ+f3335VvvvlGMTExUVauXKm2iY2NVfT19ZUFCxYop0+fVt555x3F0NBQOXnyZIX3QVl06tRJiYiIUH7//XclLi5O6dq1q1KrVi0lKytLbTNq1CjFxcVF2bVrl3L06FGlVatWSuvWrdX63Nxc5bnnnlMCAwOVEydOKFu3blWqVaumzJgxQ21z4cIFxdTUVJk0aZJy+vRpZdmyZYq+vr6yfft2tc3T9nu7adMmZcuWLcrZs2eVxMRE5e2331YMDQ2V33//XVEU6beSOnz4sOLq6qr4+voqEyZMUMul/4oWEhKiNGjQQElNTVW3v//+W62XfnvyJDETj9SiRQtlzJgx6n5eXp7i7OyshIeHV2JUT86DiVl+fr7i6OiofPDBB2pZenq6otVqlW+++UZRFEU5ffq0AihHjhxR22zbtk3RaDTKH3/8oSiKonzyySeKjY2Nkp2drbZ56623FE9PT3W/b9++Srdu3XTiadmypTJy5MhyvceKkpaWpgDK3r17FUW510+GhobK999/r7ZJSEhQAOXgwYOKotxLivX09JS//vpLbbNixQrF0tJS7atp06YpDRo00LlWv379lE6dOqn7/4bfWxsbG+Xzzz+XfiuhGzduKO7u7kp0dLTSrl07NTGT/iteSEiI0rBhwyLrpN8qhzzKFA+Vk5PDsWPHCAwMVMv09PQIDAzk4MGDlRhZ5UlOTuavv/7S6RMrKytatmyp9snBgwextramWbNmapvAwED09PQ4dOiQ2qZt27YYGRmpbTp16kRiYiLXr19X29x/nYI2T0vfZ2RkAGBrawvAsWPHuHv3rs491a9fn1q1aun0nY+PDw4ODmqbTp06kZmZyalTp9Q2D+uXp/33Ni8vj7Vr13Lz5k38/Pyk30pozJgxdOvWrdA9Sv893Llz53B2dqZu3boMHDiQlJQUQPqtskhiJh7qn3/+IS8vT+c/OgAHBwf++uuvSoqqchXc98P65K+//qJ69eo69QYGBtja2uq0Keoc91+juDZPQ9/n5+czceJE/P39ee6554B792NkZIS1tbVO2wf7rqz9kpmZye3bt5/a39uTJ09ibm6OVqtl1KhRbNiwAW9vb+m3Eli7di3Hjx8nPDy8UJ30X/FatmxJZGQk27dvZ8WKFSQnJ9OmTRtu3Lgh/VZJDCo7ACHEv9OYMWP4/fff2b9/f2WH8tTw9PQkLi6OjIwM1q1bR1BQEHv37q3ssKq8y5cvM2HCBKKjozE2Nq7scJ4qXbp0UX/29fWlZcuW1K5dm++++w4TE5NKjOzZJSNm4qGqVauGvr5+obdwrly5gqOjYyVFVbkK7vthfeLo6EhaWppOfW5uLteuXdNpU9Q57r9GcW2qet+PHTuWzZs3s2fPHmrWrKmWOzo6kpOTQ3p6uk77B/uurP1iaWmJiYnJU/t7a2RkhJubG02bNiU8PJyGDRuydOlS6bdHOHbsGGlpaTRp0gQDAwMMDAzYu3cvH330EQYGBjg4OEj/lZC1tTUeHh6cP39efu8qiSRm4qGMjIxo2rQpu3btUsvy8/PZtWsXfn5+lRhZ5alTpw6Ojo46fZKZmcmhQ4fUPvHz8yM9PZ1jx46pbXbv3k1+fj4tW7ZU2/zyyy/cvXtXbRMdHY2npyc2NjZqm/uvU9Cmqva9oiiMHTuWDRs2sHv3burUqaNT37RpUwwNDXXuKTExkZSUFJ2+O3nypE5iGx0djaWlJd7e3mqbh/XLv+X3Nj8/n+zsbOm3R+jYsSMnT54kLi5O3Zo1a8bAgQPVn6X/SiYrK4ukpCScnJzk966yVPbbB6LqW7t2raLVapXIyEjl9OnTyogRIxRra2udt3D+bW7cuKGcOHFCOXHihAIoH374oXLixAnl0qVLiqLc+1yGtbW18uOPPyq//fab0rNnzyI/l9G4cWPl0KFDyv79+xV3d3edz2Wkp6crDg4Oyuuvv678/vvvytq1axVTU9NCn8swMDBQFi5cqCQkJCghISFV+nMZb7zxhmJlZaXExMTovH5/69Yttc2oUaOUWrVqKbt371aOHj2q+Pn5KX5+fmp9wev3L774ohIXF6ds375dsbe3L/L1+6lTpyoJCQnKxx9/XOTr90/T7+306dOVvXv3KsnJycpvv/2mTJ8+XdFoNMrPP/+sKIr0W2nd/1amokj/FWfy5MlKTEyMkpycrMTGxiqBgYFKtWrVlLS0NEVRpN8qgyRmokSWLVum1KpVSzEyMlJatGih/Prrr5UdUoXas2ePAhTagoKCFEW598mMWbNmKQ4ODopWq1U6duyoJCYm6pzj6tWryoABAxRzc3PF0tJSGTx4sHLjxg2dNvHx8crzzz+vaLVapUaNGsp7771XKJbvvvtO8fDwUIyMjJQGDRooW7ZsqbD7flxF9RmgREREqG1u376tjB49WrGxsVFMTU2Vl19+WUlNTdU5z8WLF5UuXbooJiYmSrVq1ZTJkycrd+/e1WmzZ88epVGjRoqRkZFSt25dnWsUeJp+b4cMGaLUrl1bMTIyUuzt7ZWOHTuqSZmiSL+V1oOJmfRf0fr166c4OTkpRkZGSo0aNZR+/fop58+fV+ul3548jaIoSuWM1QkhhBBCiPvJHDMhhBBCiCpCEjMhhBBCiCpCEjMhhBBCiCpCEjMhhBBCiCpCEjMhhBBCiCpCEjMhhBBCiCpCEjMhhBBCiCpCEjMhhBBCiCpCEjMhhBBCiCpCEjMhhBBCiCpCEjMhhBBCiCpCEjMhhBBCiCpCEjMhhKjCsrKyGDZsGI6Ojmg0GiZOnFjZIakCAgIICAgo07HBwcG4urqWazxC/BtIYiaEeCKSkpIYOXIkdevWxdjYGEtLS/z9/Vm6dCm3b9+u7PCqrPnz5xMZGckbb7zBmjVreP311ys7pKfG6dOnCQ0N5eLFi5UdihAlZlDZAQgh/v22bNlCnz590Gq1DBo0iOeee46cnBz279/P1KlTOXXqFJ999lllh1kl7d69m1atWhESElLZoTx1Tp8+TVhYGAEBATI6J54akpgJISpUcnIy/fv3p3bt2uzevRsnJye1bsyYMZw/f54tW7ZUYoSll5ubS35+PkZGRhV+rbS0NLy9vR/Z7s6dOxgZGaGnJw9ChHiayX/BQogKtWDBArKysli9erVOUlbAzc2NCRMmqPu5ubnMnTuXevXqodVqcXV15e233yY7O1vnOFdXV7p3705MTAzNmjXDxMQEHx8fYmJiAFi/fj0+Pj4YGxvTtGlTTpw4oXN8cHAw5ubmXLhwgU6dOmFmZoazszNz5sxBURS13cWLF9FoNCxcuJAlS5aocZ0+fZqcnBxmz55N06ZNsbKywszMjDZt2rBnz55C97l27VqaNm2KhYUFlpaW+Pj4sHTp0mL7LSYmBo1GQ3JyMlu2bEGj0aDRaLh48aJat3btWt555x1q1KiBqakpmZmZXLt2jSlTpuDj44O5uTmWlpZ06dKF+Ph4nfNHRkaq5yvqugX9WOCzzz6jXr16mJiY0KJFC/bt21co5tKe80H5+fksWbKEBg0aYGxsjIODAyNHjuT69es67Qr+7ffv30+LFi0wNjambt26fPnllzqx9OnTB4D27dur/VcQw48//ki3bt1wdnZGq9VSr1495s6dS15ens61zp07xyuvvIKjoyPGxsbUrFmT/v37k5GR8dB7EaKsZMRMCFGhfvrpJ+rWrUvr1q1L1H7YsGFERUXx6quvMnnyZA4dOkR4eDgJCQls2LBBp+358+d57bXXGDlyJP/5z39YuHAhPXr04NNPP+Xtt99m9OjRAISHh9O3b18SExN1RpTy8vLo3LkzrVq1YsGCBWzfvp2QkBByc3OZM2eOzrUiIiK4c+cOI0aMQKvVYmtrS2ZmJp9//jkDBgxg+PDh3Lhxg9WrV9OpUycOHz5Mo0aNAIiOjmbAgAF07NiR999/H4CEhARiY2N1ktL7eXl5sWbNGt58801q1qzJ5MmTAbC3t1cTn7lz52JkZMSUKVPIzs7GyMiI06dPs3HjRvr06UOdOnW4cuUKK1eupF27dpw+fRpnZ+cS/Tvcb/Xq1YwcOZLWrVszceJELly4wEsvvYStrS0uLi6lPl9xRo4cSWRkJIMHD2b8+PEkJyezfPlyTpw4QWxsLIaGhmrb8+fP8+qrrzJ06FCCgoL44osvCA4OpmnTpjRo0IC2bdsyfvx4PvroI95++228vLwA1P+NjIzE3NycSZMmYW5uzu7du5k9ezaZmZl88MEHAOTk5NCpUyeys7MZN24cjo6O/PHHH2zevJn09HSsrKzK7d6FUClCCFFBMjIyFEDp2bNnidrHxcUpgDJs2DCd8ilTpiiAsnv3brWsdu3aCqAcOHBALduxY4cCKCYmJsqlS5fU8pUrVyqAsmfPHrUsKChIAZRx48apZfn5+Uq3bt0UIyMj5e+//1YURVGSk5MVQLG0tFTS0tJ04srNzVWys7N1yq5fv644ODgoQ4YMUcsmTJigWFpaKrm5uSXqh/vVrl1b6datm07Znj17FECpW7eucuvWLZ26O3fuKHl5eTplycnJilarVebMmaOWRUREKICSnJxc5LkL+ionJ0epXr260qhRI517/eyzzxRAadeuXanPqSj3+r927drq/r59+xRA+eqrr3SO3b59e6Hygn/7X375RS1LS0tTtFqtMnnyZLXs+++/L3TdAg/2m6IoysiRIxVTU1Plzp07iqIoyokTJxRA+f777wu1FaKiyKNMIUSFyczMBMDCwqJE7bdu3QrApEmTdMoLRosenIvm7e2Nn5+fut+yZUsAOnToQK1atQqVX7hwodA1x44dq/6s0WgYO3YsOTk57Ny5U6fdK6+8gr29vU6Zvr6+Os8sPz+fa9eukZubS7NmzTh+/Ljaztramps3bxIdHf2w2y+1oKAgTExMdMq0Wq06KpiXl8fVq1cxNzfH09NTJ6aSOnr0KGlpaYwaNUpnTl1wcHC5jhh9//33WFlZ8cILL/DPP/+oW9OmTTE3Ny/0eNjb25s2bdqo+/b29nh6ehb5b1yU+/vtxo0b/PPPP7Rp04Zbt25x5swZAPX+duzYwa1btx73FoUoEUnMhBAVxtLSErj3h68kLl26hJ6eHm5ubjrljo6OWFtbc+nSJZ3y+5Mv+L8/pA8+Xisof3Cukp6eHnXr1tUp8/DwACg0T6pOnTpFxhwVFYWvry/GxsbY2dlhb2/Pli1bdOYgjR49Gg8PD7p06ULNmjUZMmQI27dvL/J8pVFUTPn5+SxevBh3d3e0Wi3VqlXD3t6e3377rUzzogr63N3dXafc0NCwUN89jnPnzpGRkUH16tWxt7fX2bKyskhLS9Np/+C/PYCNjU2hf+PinDp1ipdffhkrKyssLS2xt7fnP//5D4DaT3Xq1GHSpEl8/vnnVKtWjU6dOvHxxx/L/DJRoWSOmRCiwlhaWuLs7Mzvv/9equM0Gk2J2unr65eqXLlvUn9pPTgyBfDf//6X4OBgevXqxdSpU6levTr6+vqEh4eTlJSktqtevTpxcXHs2LGDbdu2sW3bNiIiIhg0aBBRUVHlGtP8+fOZNWsWQ4YMYe7cudja2qKnp8fEiRPJz89X2xXXxw9Ofi+Nxzlnfn4+1atX56uvviqyvqjRyqKU5N84PT2ddu3aYWlpyZw5c6hXrx7GxsYcP36ct956S6efFi1aRHBwMD/++CM///wz48ePJzw8nF9//ZWaNWs+8lpClJYkZkKICtW9e3c+++wzDh48qPPYsSi1a9cmPz+fc+fOqZO0Aa5cuUJ6ejq1a9cu19jy8/O5cOGCOkoGcPbsWYASffdq3bp11K1bl/Xr1+skJUV9c8zIyIgePXrQo0cP8vPzGT16NCtXrmTWrFmFRggfx7p162jfvj2rV6/WKU9PT6datWrqvo2NjVp+vwdHJQv6/Ny5c3To0EEtv3v3LsnJyTRs2LDU5yxKvXr12LlzJ/7+/kUmnGVRXKIYExPD1atXWb9+PW3btlXLk5OTi2zv4+ODj48P77zzDgcOHMDf359PP/2UefPmlUucQtxPHmUKISrUtGnTMDMzY9iwYVy5cqVQfVJSkvrZiK5duwKwZMkSnTYffvghAN26dSv3+JYvX67+rCgKy5cvx9DQkI4dOz7y2IJRm/tHaQ4dOsTBgwd12l29elVnX09PD19fX4BCnwF5XPr6+oVGjb7//nv++OMPnbJ69eoB8Msvv6hleXl5hT7026xZM+zt7fn000/JyclRyyMjIwslYCU9Z1H69u1LXl4ec+fOLVSXm5tb6FolYWZmBhROFIv6d8vJyeGTTz7RaZeZmUlubq5OmY+PD3p6euX+7yZEARkxE0JUqHr16vH111/Tr18/vLy8dL78f+DAAb7//nuCg4MBaNiwIUFBQXz22Wfq46bDhw8TFRVFr169aN++fbnGZmxszPbt2wkKCqJly5Zs27aNLVu28Pbbbxd6dFaU7t27s379el5++WW6detGcnIyn376Kd7e3mRlZanthg0bxrVr1+jQoQM1a9bk0qVLLFu2jEaNGumMDJaH7t27M2fOHAYPHkzr1q05efIkX331VaH5YA0aNKBVq1bMmDGDa9euYWtry9q1awslIoaGhsyb9//au/OoLqr/8ePPt+z7prIoCsoimKioGOJCSrmnWW7xSXHLUlRU3DIF3DMpTctMS7DNzNTMnVRIyXAFTZEUFywpygXEBVnm94df59c7RQFB3ujrcc6c43vunZnX3Dz5OnfuMovhw4fTvn17+vbty9mzZ1m5cmWZ73k/7dq1Y/jw4cydO5fk5GReeOEFDAwMOHXqFN9++y2LFi3ilVdeKVVbNGnSBD09Pd555x2ys7MxMjKiffv2tGrVChsbGwYOHMjo0aPRaDR8/vnn9yS0u3btIjQ0lN69e+Ph4UFBQQGff/45enp6vPzyy6WKRYgSq8QZoUKIp8hvv/2mDBs2THFxcVEMDQ0VCwsLJSAgQFm8eLG6PIGiKEp+fr4SFRWluLq6KgYGBoqzs7MyZcoUrTqKcv9lJBRFUQBl5MiRWufuLnnx7rvvqucGDhyomJmZKenp6coLL7ygmJqaKvb29kpERITWchP3u/auoqIiZc6cOUrdunUVIyMjpWnTpsqmTZvuWQpi7dq1ygsvvKDUrFlTMTQ0VOrUqaMMHz5cyczMfGi7PWi5jPst43Dr1i1l/PjxiqOjo2JiYqIEBAQo+/btU9q1a6e1tIWiKEp6eroSFBSkGBkZKfb29spbb72lxMXF3XeJiY8++khxdXVVjIyMlObNmys//fTTI93zv2101yeffKI0a9ZMMTExUSwsLJRGjRopEydOVC5evPjANlEU5b7xLF++XKlXr56ip6enFUNiYqLy7LPPKiYmJoqTk5MyceJEdbmVu3XOnDmjDB48WKlfv75ibGys2NraKs8995zy448/3vNsIcqLRlEeYTSsEEJUUSEhIaxdu1arZ0sIISqbjDETQgghhNARkpgJIYQQQugIScyEEEIIIXSEjDETQgghhNAR0mMmhBBCCKEjJDETQgghhNARssCsKLGioiIuXryIhYVFifcyFEIIIcSdnSauXbuGk5MT1aoV3y8miZkosYsXL+Ls7FzZYQghhBBV1oULF6hdu3ax5ZKYiRKzsLAA7vylsrS0rORohBBCiKojJycHZ2dn9d/S4khiJkrs7udLS0tLScyEEEKIMnjYUCAZ/C+EEEIIoSMkMRNCCCGE0BGSmAkhhBBC6AhJzIQQQgghdIQkZkIIIYQQOkISMyGEEEIIHSGJmRBCCCGEjpDETAghhBBCR0hiJoQQQgihIyQxE0IIIYTQEbIlkyi9vYfBzLyyoxBCCCEqRrvmlfZo6TETQgghhNARVS4xCwkJoWfPnpUdBqBbsQghhBCi6qtyiZkuWbRoETExMZUdRqm5uLiwcOHCyg5DCCGEEP8hY8wegZWVVWWHIIQQQogniM72mK1du5ZGjRphYmKCnZ0dQUFBXL9+XS1fsGABjo6O2NnZMXLkSPLz89WyK1euMGDAAGxsbDA1NaVz586cOnVKLY+JicHa2poNGzbg7u6OsbExHTt25MKFC2qdyMhImjRpwrJly3B2dsbU1JQ+ffqQnZ2t1vnvp8zAwEBGjx7NxIkTsbW1xcHBgcjISK33OnnyJK1bt8bY2Bhvb29+/PFHNBoNGzZseGibnDt3Do1Gw7p163juuecwNTWlcePG7Nu3T6ve3r17adOmDSYmJjg7OzN69Gi17QIDAzl//jxjx45Fo9Gg0Wge+lwhhBBCPB46mZhlZmbSv39/Bg8eTGpqKvHx8fTq1QtFUQDYvXs36enp7N69m9jYWGJiYrQ+KYaEhHDw4EE2btzIvn37UBSFLl26aCVvN27cYPbs2axatYrExESuXr1Kv379tOI4ffo0a9as4YcffmDbtm0cOXKEESNGPDD22NhYzMzMSEpKYv78+cyYMYO4uDgACgsL6dmzJ6ampiQlJfHJJ58wderUUrfP1KlTCQ8PJzk5GQ8PD/r3709BQQEA6enpdOrUiZdffpmjR4/yzTffsHfvXkJDQwFYt24dtWvXZsaMGWRmZpKZmVnsc/Ly8sjJydE6hBBCCFFxdPJTZmZmJgUFBfTq1Yu6desC0KhRI7XcxsaGJUuWoKenR4MGDejatSs7d+5k2LBhnDp1io0bN5KYmEirVq0A+PLLL3F2dmbDhg307t0bgPz8fJYsWULLli2BOwmVl5cX+/fvx8/PD4Bbt26xatUqatWqBcDixYvp2rUr0dHRODg43Dd2Hx8fIiIiAHB3d2fJkiXs3LmT559/nri4ONLT04mPj1evnz17Ns8//3yp2ic8PJyuXbsCEBUVRcOGDTl9+jQNGjRg7ty5BAcHExYWpsbwwQcf0K5dO5YuXYqtrS16enpYWFgU+w53zZ07l6ioqFLFJoQQQoiy08kes8aNG9OhQwcaNWpE7969Wb58OVeuXFHLGzZsiJ6envrb0dGRrKwsAFJTU9HX11cTLgA7Ozs8PT1JTU1Vz+nr69OiRQv1d4MGDbC2ttaqU6dOHTUpA/D396eoqIi0tLRiY/fx8dH6/e/Y0tLScHZ21kqI7iaBpfHvZzg6OgKoz0hJSSEmJgZzc3P16NixI0VFRZw9e7ZUz5kyZQrZ2dnq8e9PvUIIIYQofzrZY6anp0dcXBw///wzO3bsYPHixUydOpWkpCQADAwMtOprNBqKiooqI9R7PI7Y/v2Mu2PE7j4jNzeX4cOHM3r06Huuq1OnTqmeY2RkhJGR0SNEKoQQQojS0MkeM7iTcAQEBBAVFcWRI0cwNDRk/fr1D73Oy8uLgoICNYkDuHTpEmlpaXh7e6vnCgoKOHjwoPo7LS2Nq1ev4uXlpZ7LyMjg4sWL6u9ffvmFatWq4enpWaZ38vT05MKFC/z111/quQMHDpTpXsXx9fXlxIkTuLm53XMYGhoCYGhoSGFhYbk+VwghhBCPTicTs6SkJObMmcPBgwfJyMhg3bp1/P3331pJU3Hc3d3p0aMHw4YNY+/evaSkpPC///2PWrVq0aNHD7WegYEBo0aNIikpiUOHDhESEsKzzz6r9WnR2NiYgQMHkpKSwp49exg9ejR9+vR56Nis4jz//PPUr1+fgQMHcvToURITE3n77bcBym125KRJk/j5558JDQ0lOTmZU6dO8f3336uD/+HOOmY//fQTf/zxB//880+5PFcIIYQQj04nEzNLS0t++uknunTpgoeHB2+//TbR0dF07ty5RNevXLmSZs2a0a1bN/z9/VEUhS1btmh9AjQ1NWXSpEm8+uqrBAQEYG5uzjfffKN1Hzc3N3r16kWXLl144YUX8PHx4aOPPirze+np6bFhwwZyc3Np0aIFQ4cOVWdlGhsbl/m+/+bj40NCQgK//fYbbdq0oWnTpkyfPh0nJye1zowZMzh37hz169enRo0a5fJcIYQQQjw6jXJ3DYqnSExMDGFhYVy9erXYOpGRkWzYsIHk5OQKjSUxMZHWrVtz+vRp6tevX6HPelQ5OTlYWVmRvXk3lrKJuRBCiCdVBWxirv4bmp2NpaVlsfV0cvD/k2z9+vWYm5vj7u7O6dOnGTNmDAEBATqflAkhhBCi4kli9phdu3aNSZMmkZGRQfXq1QkKCiI6OhqAOXPmMGfOnPte16ZNG7Zu3fo4Qy1ea194QLYvhBBCiLJ5Kj9l6qrLly9z+fLl+5aZmJhoralWGUraDSuEEEIIbfIpswqytbXF1ta2ssMQQgghRCWRxEyU3t7DIIP/hRBC6JIKGLBfGXRyuQwhhBBCiKeRJGZCCCGEEDpCEjMhhBBCCB3xVCVmt2/ffqqeK4QQQoiqpUonZteuXSM4OBgzMzMcHR15//33CQwMJCwsDLizJ+TMmTMZMGAAlpaWvP766wB89913NGzYECMjI1xcXNR1xO7Ky8tj0qRJODs7Y2RkhJubG59++qla/uuvv9K5c2fMzc2xt7fntdde09pzMjAwkNDQUMLCwqhevTodO3Zk8ODBdOvWTes5+fn51KxZU+vexbl7z9DQUKysrKhevTrTpk3j36udXLlyhQEDBmBjY4OpqSmdO3fm1KlTavn58+fp3r07NjY2mJmZ0bBhQ7Zs2VLyBhdCCCFEharSidm4ceNITExk48aNxMXFsWfPHg4fPqxVZ8GCBTRu3JgjR44wbdo0Dh06RJ8+fejXrx/Hjh0jMjKSadOmERMTo14zYMAAvv76az744ANSU1NZtmwZ5uZ3ZiFevXqV9u3b07RpUw4ePMi2bdv466+/6NOnj9ZzY2NjMTQ0JDExkY8//pihQ4eybds2MjMz1TqbNm3ixo0b9O3bt0TvGxsbi76+Pvv372fRokW89957rFixQi0PCQnh4MGDbNy4kX379qEoCl26dCE/Px+AkSNHkpeXx08//cSxY8d455131PcSQgghROWrsgvMXrt2DTs7O7766iteeeUVALKzs3FycmLYsGEsXLgQFxcXmjZtyvr169XrgoOD+fvvv9mxY4d6buLEiWzevJnjx4/z22+/4enpSVxcHEFBQfc8d9asWezZs4ft27er537//XecnZ1JS0vDw8ODwMBAcnJy7kkSGzZsyMCBA5k4cSIAL774InZ2dqxcufKh7xsYGEhWVhbHjx9Ho9EAMHnyZDZu3MiJEyc4deoUHh4eJCYm0qpVKwAuXbqEs7MzsbGx9O7dGx8fH15++WUiIiJK1MZ5eXnk5eWpv3NycnB2dpa9MoUQQugeHV8uo6QLzFbZHrMzZ86Qn5+Pn5+fes7KygpPT0+tes2ba/+HSk1NJSAgQOtcQEAAp06dorCwkOTkZPT09GjXrt19n5uSksLu3bsxNzdXjwYNGgCQnp6u1mvWrNk91w4dOlRNwv766y+2bt3K4MGDS/zOzz77rJqUAfj7+6txp6amoq+vT8uWLdVyOzs7PD09SU1NBWD06NHMmjWLgIAAIiIiOHr06AOfN3fuXKysrNTD2dm5xLEKIYQQovSqbGJWUmZmZqWqb2Ji8sDy3NxcunfvTnJystZx6tQp2rZt+8DnDhgwgDNnzrBv3z6++OILXF1dadOmTaniexRDhw7lzJkzvPbaaxw7dozmzZuzePHiYutPmTKF7Oxs9bhw4cJji1UIIYR4GlXZxKxevXoYGBhw4MAB9Vx2dja//fbbA6/z8vIiMTFR61xiYiIeHh7o6enRqFEjioqKSEhIuO/1vr6+HD9+HBcXF9zc3LSOhyWBdnZ29OzZk5UrVxITE8OgQYNK+LZ3JCUlaf3+5ZdfcHd3R09PDy8vLwoKCrTqXLp0ibS0NLy9vdVzzs7OvPHGG6xbt47x48ezfPnyYp9nZGSEpaWl1iGEEEKIilNlEzMLCwsGDhzIhAkT2L17N8ePH2fIkCFUq1ZN63Pff40fP56dO3cyc+ZMfvvtN2JjY1myZAnh4eHAnZmcAwcOZPDgwWzYsIGzZ88SHx/PmjVrgDsD6C9fvkz//v05cOAA6enpbN++nUGDBlFYWPjQuIcOHUpsbCypqakMHDiwVO+ckZHBuHHjSEtL4+uvv2bx4sWMGTMGAHd3d3r06MGwYcPYu3cvKSkp/O9//6NWrVr06NEDgLCwMLZv387Zs2c5fPgwu3fvxsvLq1QxCCGEEKLiVNnEDOC9997D39+fbt26ERQUREBAAF5eXhgbGxd7ja+vL2vWrGH16tU888wzTJ8+nRkzZhASEqLWWbp0Ka+88gojRoygQYMGDBs2jOvXrwPg5OREYmIihYWFvPDCCzRq1IiwsDCsra2pVu3hzRkUFISjoyMdO3bEycmpVO87YMAAbt68iZ+fHyNHjmTMmDHqEiAAK1eupFmzZnTr1g1/f38URWHLli0YGBgAUFhYyMiRI/Hy8qJTp054eHjw0UcflSoGIYQQQlScKjsr836uX79OrVq1iI6OZsiQIZUdzn3l5uZSq1YtVq5cSa9evUp8XWBgIE2aNGHhwoUVF9xDqDNKZFamEEIIXfOEzMrUf4wxlbsjR45w8uRJ/Pz8yM7OZsaMGQDqpztdUlRUxD///EN0dDTW1ta8+OKLlR2SEEIIIXRMlU7M4M4CsmlpaRgaGtKsWTP27NlD9erVKzuse2RkZODq6krt2rWJiYlBX19fq+zfA/T/68SJE48jxJJr7QsyEUAIIYQod0/Up8yqqqCggHPnzhVb7uLiopXIVZaSdsMKIYQQQttT8SnzSaGvr4+bm1tlhyGEEEKISlalZ2UKIYQQQjxJpMdMlN7ewyCzMoXQTTo+M00I8WDSYyaEEEIIoSMkMSsH8fHxaDQarl69WtmhCCGEEKIKk8SsHLRq1YrMzEysrKwqO5SHiomJwdraurLDEEIIIcR9yBizcmBoaIiDg0NlhyGEEEKIKk56zO4jMDCQUaNGERYWho2NDfb29ixfvpzr168zaNAgLCwscHNzY+vWrcC9nzLPnz9P9+7dsbGxwczMjIYNG7Jlyxb1/sePH6dbt25YWlpiYWFBmzZtSE9Pf2hcISEh9OzZkwULFuDo6IidnR0jR44kPz9frZOXl0d4eDi1atXCzMyMli1bEh8fr8Y5aNAgsrOz0Wg0aDQaIiMjy63dhBBCCPFoJDErRmxsLNWrV2f//v2MGjWKN998k969e9OqVSsOHz7MCy+8wGuvvcaNGzfuuXbkyJHk5eXx008/cezYMd555x3Mze/MYvzjjz9o27YtRkZG7Nq1i0OHDjF48GAKCgpKFNfu3btJT09n9+7dxMbGEhMTQ0xMjFoeGhrKvn37WL16NUePHqV379506tSJU6dO0apVKxYuXIilpSWZmZlkZmYSHh5e7LPy8vLIycnROoQQQghRcWTl//sIDAyksLCQPXv2AFBYWIiVlRW9evVi1apVAPz55584Ojqyb98+bt26xXPPPceVK1ewtrbGx8eHl19+mYiIiHvu/dZbb7F69WrS0tIwMDAoVVwhISHEx8eTnp6Onp4eAH369KFatWqsXr2ajIwM6tWrR0ZGBk5OTup1QUFB+Pn5MWfOHGJiYggLCyvRRIXIyEiioqLuOS+bmAuhw2S5DCF0UklX/pces2L4+Piof9bT08POzo5GjRqp5+zt7QHIysq659rRo0cza9YsAgICiIiI4OjRo2pZcnIybdq0KXVSdlfDhg3VpAzA0dFRjeHYsWMUFhbi4eGBubm5eiQkJJToU+l/TZkyhezsbPW4cOFCmWIWQgghRMnI4P9i/Ddx0mg0Wuc0Gg0ARUVF91w7dOhQOnbsyObNm9mxYwdz584lOjqaUaNGYWJiUu5x3Y0hNzcXPT09Dh06pJW8Aeqn1NIwMjLCyMio7MEKIYQQolSkx6yCODs788Ybb7Bu3TrGjx/P8uXLgTs9cXv27NEasF9emjZtSmFhIVlZWbi5uWkdd2eNGhoaUlhYWO7PFkIIIcSjk8SsAoSFhbF9+3bOnj3L4cOH2b17N15eXsCdwfk5OTn069ePgwcPcurUKT7//HPS0tIe+bkeHh4EBwczYMAA1q1bx9mzZ9m/fz9z585l8+bNALi4uJCbm8vOnTv5559/7jt5QQghhBCVQxKzClBYWMjIkSPx8vKiU6dOeHh48NFHHwFgZ2fHrl27yM3NpV27djRr1ozly5eXeczZf61cuZIBAwYwfvx4PD096dmzJwcOHKBOnTrAncVw33jjDfr27UuNGjWYP39+uTxXCCGEEI9OZmWKElNnlMisTCF0l8zKFEInyaxMIYQQQogqRmZl6pAHzZzcunUrbdq0eYzRPEBrX3hAti+EEEKIspHETIckJycXW1arVq3HF4gQQgghKoUkZjrEzc2tskMQQgghRCWSxEyU3t7DIIP/xZNMBtALISqJDP4XQgghhNARVSoxCwkJoWfPnpUdBqBbsQghhBDiySCfMsto0aJFyBJwQgghhChPkpiVkZWVVWWHIIQQQognjE5+yly7di2NGjXCxMQEOzs7goKCuH79ulq+YMECHB0dsbOzY+TIkVobgl+5coUBAwZgY2ODqakpnTt35tSpU2p5TEwM1tbWbNiwAXd3d4yNjenYsSMXLlxQ60RGRtKkSROWLVuGs7Mzpqam9OnTh+zsbLXOfz9lBgYGMnr0aCZOnIitrS0ODg5ERkZqvdfJkydp3bo1xsbGeHt78+OPP6LRaNiwYcND2+TcuXNoNBpWr15Nq1atMDY25plnniEhIUGrXkJCAn5+fhgZGeHo6MjkyZMpKCgocdsKIYQQovLoXGKWmZlJ//79GTx4MKmpqcTHx9OrVy/1s+Hu3btJT09n9+7dxMbGEhMTQ0xMjHp9SEgIBw8eZOPGjezbtw9FUejSpYtW8nbjxg1mz57NqlWrSExM5OrVq/Tr108rjtOnT7NmzRp++OEHtm3bxpEjRxgxYsQDY4+NjcXMzIykpCTmz5/PjBkziIuLA+7sn9mzZ09MTU1JSkrik08+YerUqaVunwkTJjB+/HiOHDmCv78/3bt359KlSwD88ccfdOnShRYtWpCSksLSpUv59NNPmTVrVonaVgghhBCVS+c+ZWZmZlJQUECvXr2oW7cuAI0aNVLLbWxsWLJkCXp6ejRo0ICuXbuyc+dOhg0bxqlTp9i4cSOJiYm0atUKgC+//BJnZ2c2bNhA7969AcjPz2fJkiW0bNkSuJNQeXl5sX//fvz8/AC4desWq1atUhd2Xbx4MV27diU6OhoHB4f7xu7j40NERAQA7u7uLFmyhJ07d/L8888TFxdHeno68fHx6vWzZ8/m+eefL1X7hIaG8vLLLwOwdOlStm3bxqeffsrEiRP56KOPcHZ2ZsmSJWg0Gho0aMDFixeZNGkS06dPf2jb/ldeXh55eXnq75ycnFLFKoQQQojS0bkes8aNG9OhQwcaNWpE7969Wb58OVeuXFHLGzZsiJ6envrb0dGRrKwsAFJTU9HX11cTLgA7Ozs8PT1JTU1Vz+nr69OiRQv1d4MGDbC2ttaqU6dOHa3V9v39/SkqKiItLa3Y2H18fLR+/zu2tLQ0nJ2dtZK6u0lgafj7+2u9R/PmzdW4U1NT8ff3R6PRqHUCAgLIzc3l999/f2jb/tfcuXOxsrJSD2dn51LHK4QQQoiS07nETE9Pj7i4OLZu3Yq3tzeLFy/G09OTs2fPAmBgYKBVX6PRUFRUVBmh3kOXY4OHt+1/TZkyhezsbPX49zg8IYQQQpQ/nUvM4E5CExAQQFRUFEeOHMHQ0JD169c/9DovLy8KCgpISkpSz126dIm0tDS8vb3VcwUFBRw8eFD9nZaWxtWrV/Hy8lLPZWRkcPHiRfX3L7/8QrVq1fD09CzTO3l6enLhwgX++usv9dyBAwdKfZ9ffvlF/XNBQQGHDh1S4/by8lLH1d2VmJiIhYUFtWvXBkrXtkZGRlhaWmodQgghhKg4OpeYJSUlMWfOHA4ePEhGRgbr1q3j77//1kqaiuPu7k6PHj0YNmwYe/fuJSUlhf/973/UqlWLHj16qPUMDAwYNWoUSUlJHDp0iJCQEJ599lmtT4vGxsYMHDiQlJQU9uzZw+jRo+nTp0+x48se5vnnn6d+/foMHDiQo0ePkpiYyNtvvw2g9enxYT788EPWr1/PyZMnGTlyJFeuXGHw4MEAjBgxggsXLjBq1ChOnjzJ999/T0REBOPGjaNatWqP1LZCCCGEqHg6l5hZWlry008/0aVLFzw8PHj77beJjo6mc+fOJbp+5cqVNGvWjG7duuHv74+iKGzZskXrM6OpqSmTJk3i1VdfJSAgAHNzc7755hut+7i5udGrVy+6dOnCCy+8gI+PDx999FGZ30tPT48NGzaQm5tLixYtGDp0qDor09jYuMT3mTdvHvPmzaNx48bs3buXjRs3Ur16dQBq1arFli1b2L9/P40bN+aNN95gyJAhagL4qG0rhBBCiIqlUZ6ytRJiYmIICwvj6tWrxdaJjIxkw4YNJCcnV2gsiYmJtG7dmtOnT1O/fv0H1j137hyurq4cOXKEJk2aVGhcxcnJycHKyorszbuxlE3MxZNMNjEXQpQz9d/Q7OwHDg3SueUynmTr16/H3Nwcd3d3Tp8+zZgxYwgICHhoUiaEEEKIp4MkZo/RtWvXmDRpEhkZGVSvXp2goCCio6MBmDNnDnPmzLnvdW3atGHp0qWPM9QHa+0LMhFACCGEKHdP3adMXXX58mUuX7583zITExOtNdUqS0m7YYUQQgihTT5lVjG2trbY2tpWdhhCCCGEqEQ6NytTCCGEEOJpJT1movT2HgaZlSn+S2YyCiHEI5MeMyGEEEIIHSGJmRBCCCGEjpDE7P+cO3cOjUZT4YvK6oL4+Hg0Gs0DF9kVQgghxOMniVkp3b59u7JDeCT5+fmVHYIQQgghiqFzidm1a9cIDg7GzMwMR0dH3n//fQIDAwkLCwPg888/p3nz5lhYWODg4MCrr75KVlaWev2VK1cIDg6mRo0amJiY4O7uzsqVKx/6XFdXVwCaNm2KRqMhMDAQgJCQEHr27Mns2bNxcnLC09OzRHHc7ZXauXMnzZs3x9TUlFatWpGWlqbWSUlJ4bnnnsPCwgJLS0uaNWvGwYMHgTtbR1lbW7Nhwwbc3d0xNjamY8eOXLhwQSvupUuXUr9+fQwNDfH09OTzzz/XKtdoNCxdupQXX3wRMzMzhg0bxnPPPQeAjY0NGo2GkJCQEvyXEUIIIURF07nEbNy4cSQmJrJx40bi4uLYs2cPhw8fVsvz8/OZOXMmKSkpbNiwgXPnzmklFtOmTePEiRNs3bqV1NRUli5dqm7y/SD79+8H4McffyQzM5N169apZTt37iQtLY24uDg2bdpUojjumjp1KtHR0Rw8eBB9fX0GDx6slgUHB1O7dm0OHDjAoUOHmDx5stZm6zdu3GD27NmsWrWKxMRErl69Sr9+/dTy9evXM2bMGMaPH8+vv/7K8OHDGTRoELt379aKITIykpdeeoljx44RFRXFd999B0BaWhqZmZksWrTovm2Sl5dHTk6O1iGEEEKIiqNTy2Vcu3aN2NhYvvrqKzp06ADAypUrcXJyUuv8O7GpV68eH3zwAS1atCA3Nxdzc3MyMjJo2rQpzZvfmbrv4uJSomfXqFEDADs7OxwcHLTKzMzMWLFiBYaGhiWO467Zs2fTrl07ACZPnkzXrl25desWxsbGZGRkMGHCBBo0aACAu7u71nPz8/NZsmQJLVu2BCA2NhYvLy/279+Pn58fCxYsICQkhBEjRgB3ktpffvmFBQsWqL1iAK+++iqDBg1Sf589exaAmjVrYm1tXWybzJ07l6ioqIe0nBBCCCHKi071mJ05c4b8/Hz8/PzUc1ZWVurnQ4BDhw7RvXt36tSpg4WFhZr0ZGRkAPDmm2+yevVqmjRpwsSJE/n5558fOa5GjRppJWUlieMuHx8f9c+Ojo4A6ifPcePGMXToUIKCgpg3bx7p6ela1+rr69OiRQv1d4MGDbC2tiY1NRWA1NRUAgICtK4JCAhQy++6m6SW1pQpU8jOzlaP/35GFUIIIUT50qnE7GGuX79Ox44dsbS05Msvv+TAgQOsX78e+P+D8jt37sz58+cZO3YsFy9epEOHDoSHhz/Sc83MzEodx13//jSp0WgAKCoqAu58Yjx+/Dhdu3Zl165deHt7q/cpT/+Nv6SMjIywtLTUOoQQQghRcXQqMatXrx4GBgYcOHBAPZednc1vv/0GwMmTJ7l06RLz5s2jTZs2NGjQQGvA/V01atRg4MCBfPHFFyxcuJBPPvnkoc++2yNWWFj40LoljaMkPDw8GDt2LDt27KBXr15aExUKCgrUyQBwZ0zY1atX8fLyAsDLy4vExESt+yUmJuLt7f3AZ5bmXYUQQgjx+OjUGDMLCwsGDhzIhAkTsLW1pWbNmkRERFCtWjU0Gg116tTB0NCQxYsX88Ybb/Drr78yc+ZMrXtMnz6dZs2a0bBhQ/Ly8ti0aZOayDxIzZo1MTExYdu2bdSuXRtjY2OsrKzuW7ckcTzMzZs3mTBhAq+88gqurq78/vvvHDhwgJdfflmtY2BgwKhRo/jggw/Q19cnNDSUZ599Vv3UO2HCBPr06UPTpk0JCgrihx9+YN26dfz4448PfHbdunXRaDRs2rSJLl26YGJiojUuTgghhBCVQ6d6zADee+89/P396datG0FBQQQEBODl5YWxsTE1atQgJiaGb7/9Fm9vb+bNm8eCBQu0rjc0NGTKlCn4+PjQtm1b9PT0WL169UOfq6+vzwcffMCyZctwcnKiR48exdYtSRwPo6enx6VLlxgwYAAeHh706dOHzp07aw22NzU1ZdKkSbz66qsEBARgbm7ON998o5b37NmTRYsWsWDBAho2bMiyZctYuXKlutRHcWrVqkVUVBSTJ0/G3t6e0NDQUsUuhBBCiIqhURRFqewgHuT69evUqlWL6OhohgwZUtnhPDYxMTGEhYXp1Or8OTk5WFlZkb15N5ayibn4L9nEXAghiqX+G5qd/cAx2zr1KRPgyJEjnDx5Ej8/P7Kzs5kxYwbAA3uwhBBCCCGeBDqXmAEsWLCAtLQ0DA0NadasGXv27CnRIrEPMmfOHObMmXPfsjZt2rB169ZHuv9TpbUvyAxNIYQQotzp/KfM8nL58mUuX7583zITExNq1ar1mCOqekraDSuEEEIIbVX2U2ZFsbW1xdbWtrLDEEIIIYQo1lOTmIlytPcwPI2D/2VwuxBCiAqmc8tlCCGEEEI8rSQxe0Tx8fFoNBqdWtZCCCGEEFWTJGaPqFWrVmRmZha7S4AQQgghREmVeYzZwYMHWbNmDRkZGfds3L1u3bpHDqyqMDQ0xMHBobLDEEIIIcQToEw9ZqtXr6ZVq1akpqayfv168vPzOX78OLt27aryPUeBgYGMGjWKsLAwbGxssLe3Z/ny5Vy/fp1BgwZhYWGBm5ubuu7Zfz9lnj9/nu7du2NjY4OZmRkNGzZky5Yt6v2PHz9Ot27dsLS0xMLCgjZt2pCenv7QuEJCQujZsydRUVHUqFEDS0tL3njjDa2kOC8vj9GjR1OzZk2MjY1p3bq11obwV65cITg4mBo1amBiYoK7u7vWpulCCCGEqFxlSszmzJnD+++/zw8//IChoSGLFi3i5MmT9OnThzp16pR3jI9dbGws1atXZ//+/YwaNYo333yT3r1706pVKw4fPswLL7zAa6+9xo0bN+65duTIkeTl5fHTTz9x7Ngx3nnnHXWD8D/++IO2bdtiZGTErl27OHToEIMHD6agoKBEce3cuZPU1FTi4+P5+uuvWbdundbemhMnTuS7774jNjaWw4cP4+bmRseOHdX126ZNm8aJEyfYunUrqampLF269JEX7hVCCCFE+SnTArNmZmYcP34cFxcX7OzsiI+Pp1GjRqSmptK+fXsyMzMrItbHIjAwkMLCQvbs2QNAYWEhVlZW9OrVi1WrVgHw559/4ujoyL59+7h16xbPPfccV65cwdraGh8fH15++WUiIiLuufdbb73F6tWrSUtLw8DAoFRxhYSE8MMPP3DhwgVMTU0B+Pjjj5kwYQLZ2dncvHkTGxsbYmJiePXVVwHIz8/HxcWFsLAwJkyYwIsvvkj16tX57LPPSvTMvLw88vLy1N85OTk4Ozs/vXtlynIZQgghyqikC8yWqcfMxsaGa9euAVCrVi1+/fVXAK5evXrfXqSqxsfHR/2znp4ednZ2NGrUSD1nb28PQFZW1j3Xjh49mlmzZhEQEEBERARHjx5Vy5KTk2nTpk2pk7K7GjdurCZlAP7+/uTm5nLhwgXS09PJz88nICBALTcwMMDPz4/U1FQA3nzzTVavXk2TJk2YOHEiP//88wOfN3fuXKysrNTD2dm5THELIYQQomTKlJi1bduWuLg4AHr37s2YMWMYNmwY/fv3p0OHDuUaYGX4b+Kk0Wi0zmk0GgCKioruuXbo0KGcOXOG1157jWPHjtG8eXMWL14M3Nn6qTJ17tyZ8+fPM3bsWC5evEiHDh0IDw8vtv6UKVPIzs5WjwsXLjzGaIUQQoinT5kSsyVLltCvXz8Apk6dyrhx4/jrr794+eWX+fTTT8s1wKrI2dmZN954g3Xr1jF+/HiWL18O3OmJ27NnD/n5+WW6b0pKCjdv3lR///LLL5ibm+Ps7Ez9+vUxNDQkMTFRLc/Pz+fAgQN4e3ur52rUqMHAgQP54osvWLhwIZ988kmxzzMyMsLS0lLrEEIIIUTFKdFyGQkJCfj5+ak9Pv/ec7JatWpMnjy5YqKrgsLCwujcuTMeHh5cuXKF3bt34+XlBUBoaCiLFy+mX79+TJkyBSsrK3755Rf8/Pzw9PR86L1v377NkCFDePvttzl37hwRERGEhoZSrVo1zMzMePPNN5kwYQK2trbUqVOH+fPnc+PGDYYMGQLA9OnTadasGQ0bNiQvL49NmzapsQkhhBCi8pUoMUtLS2PSpEls3rwZOzs7cnJyHlj/ae5ZKSwsZOTIkfz+++9YWlrSqVMn3n//fQDs7OzYtWsXEyZMoF27dujp6dGkSROtcWEP0qFDB9zd3Wnbti15eXn079+fyMhItXzevHkUFRXx2muvce3aNZo3b8727duxsbEB7qy5NmXKFM6dO4eJiQlt2rRh9erV5d4GQgghhCibEs/K/OSTT1i8eDHHjh2jWrVq6jirf1MUBY1GQ2FhYbkH+rQLCQnh6tWrbNiwodJiUGeUyKxMIYQQolRKOiuzxCv/v/766zRt2hSA3bt3P3qEQgghhBBCS6m2ZGrRogUFBQUkJCQwePBgateuXVFxPXXuLkJ7P3d3GdAZrX3hKf5cLYQQQlSUMi0wa2FhwbFjx3BxcamAkJ5Op0+fLrasVq1alb7UBpS8G1YIIYQQ2sr9U+a/tW/fnoSEBEnMypGbm1tlhyCEEEKISlamxKxz585MnjyZY8eO0axZM8zMzLTKX3zxxXIJTgghhBDiaVKmT5nVqhW/Lq3MynxyPbWzMmU2phBCiEdUoZ8y77cVkRBCCCGEeDRl2pJJlE5ISAg9e/as7DCEEEIIoePKnJglJCTQvXt33NzccHNz48UXX2TPnj3lGZsQQgghxFOlTInZF198QVBQEKampowePZrRo0djYmJChw4d+Oqrr8o7xjIpLCyUT67c2V9TCCGEEFVDmRKz2bNnM3/+fL755hs1Mfvmm2+YN28eM2fOLFMggYGBhIaGEhoaipWVFdWrV2fatGncnZuQl5dHeHg4tWrVwszMjJYtWxIfH69eHxMTg7W1NRs3bsTb2xsjIyMyMjKIj4/Hz88PMzMzrK2tCQgI4Pz58+p1S5cupX79+hgaGuLp6cnnn3+uFZdGo2HFihW89NJLmJqa4u7uzsaNG9XywsJChgwZgqurKyYmJnh6erJo0aIytQHcGb83f/583NzcMDIyok6dOsyePVstnzRpEh4eHpiamlKvXj2mTZtGfn6+Wh4ZGUmTJk1YsWIFrq6uGBsbA3D16lWGDh1KjRo1sLS0pH379qSkpJQ5TiGEEEKUvzIlZmfOnKF79+73nH/xxRc5e/ZsmYOJjY1FX1+f/fv3s2jRIt577z1WrFgBQGhoKPv27WP16tUcPXqU3r1706lTJ06dOqVef+PGDd555x1WrFjB8ePHsbW1pWfPnrRr146jR4+yb98+Xn/9dXWfz/Xr1zNmzBjGjx/Pr7/+yvDhwxk0aNA9W05FRUXRp08fjh49SpcuXQgODuby5cvAnUSqdu3afPvtt5w4cYLp06fz1ltvsWbNmjK1wZQpU5g3bx7Tpk3jxIkTfPXVV9jb26vlFhYWxMTEcOLECRYtWsTy5cvVTdLvOn36NN999x3r1q0jOTkZgN69e5OVlcXWrVs5dOgQvr6+dOjQQX2P+8nLyyMnJ0frEEIIIUTFKdNyGW5ubkyYMIHhw4drnf/444+Jjo7WSpZKKjAwkKysLI4fP64mTpMnT2bjxo1s27aNevXqkZGRgZOTk3pNUFAQfn5+zJkzh5iYGAYNGkRycjKNGzcG4PLly9jZ2REfH0+7du3ueWZAQAANGzbkk08+Uc/16dOH69evs3nzZuBOj9nbb7+t9gRev34dc3Nztm7dSqdOne77LqGhofz555+sXbsWKPkG5NeuXaNGjRosWbKEoUOHlqjdFixYwOrVqzl48CBwp8dszpw5/PHHH9SoUQOAvXv30rVrV7KysjAyMlKvdXNzY+LEibz++uv3vXdkZCRRUVH3nJflMoQQQojSqdDlMsaPH8/o0aNJTk6mVatWACQmJhITE/NIn/GeffZZNSkD8Pf3Jzo6mmPHjlFYWIiHh4dW/by8POzs7NTfhoaG+Pj4qL9tbW0JCQmhY8eOPP/88wQFBdGnTx8cHR0BSE1NvScpCQgIuOcd/n1PMzMzLC0tycrKUs99+OGHfPbZZ2RkZHDz5k1u375NkyZNSv3+qamp5OXl0aFDh2LrfPPNN3zwwQekp6eTm5tLQUHBPf+B69atqyZlACkpKeTm5mq1FcDNmzdJT08v9llTpkxh3Lhx6u+cnBycnZ1L+1pCCCGEKKEyJWZvvvkmDg4OREdHq5/svLy8+Oabb+jRo0e5BgiQm5uLnp4ehw4dQk9PT6vs35t/m5iYaCV2ACtXrmT06NFs27aNb775hrfffpu4uDieffbZEj/fwMBA67dGo1EnFqxevZrw8HCio6Px9/fHwsKCd999l6SkpNK+5kP3w9y3bx/BwcFERUXRsWNHrKysWL16NdHR0Vr1/rsTQ25uLo6Ojlpj8u6ytrYu9nlGRkZaPWxCCCGEqFhlSswAXnrpJV566aXyjOWeZOaXX37B3d2dpk2bUlhYSFZWFm3atCn1fZs2bUrTpk2ZMmUK/v7+fPXVVzz77LN4eXmRmJjIwIED1bqJiYl4e3uX+N6JiYm0atWKESNGqOce1Av1IO7u7piYmLBz5877fsr8+eefqVu3LlOnTlXP/XsiQ3F8fX35888/0dfXl/1NhRBCCB1W5sSsImRkZDBu3DiGDx/O4cOHWbx4MdHR0Xh4eBAcHMyAAQOIjo6madOm/P333+zcuRMfHx+6du163/udPXuWTz75hBdffBEnJyfS0tI4deoUAwYMAGDChAn06dOHpk2bEhQUxA8//MC6dev48ccfSxyzu7s7q1atYvv27bi6uvL5559z4MABXF1dS/3+xsbGTJo0iYkTJ2JoaEhAQAB///03x48fZ8iQIbi7u5ORkcHq1atp0aIFmzdvZv369Q+9b1BQEP7+/vTs2ZP58+fj4eHBxYsX2bx5My+99BLNm8sYKiGEEEIXlCkxs7GxueeTIdz5xGdsbIybmxshISEMGjSoVPcdMGAAN2/exM/PDz09PcaMGaOOAVu5ciWzZs1i/Pjx/PHHH1SvXp1nn32Wbt26FXs/U1NTTp48SWxsLJcuXcLR0ZGRI0eqkxZ69uzJokWLWLBgAWPGjMHV1ZWVK1cSGBhY4piHDx/OkSNH6Nu3LxqNhv79+zNixAi2bt1aqne/a9q0aejr6zN9+nQuXryIo6Mjb7zxBnBn1uvYsWMJDQ0lLy+Prl27Mm3aNCIjIx94T41Gw5YtW5g6dSqDBg3i77//xsHBgbZt22rN+BRCCCFE5SrTrMz333+f2bNn07lzZ/z8/ADYv38/27ZtY+zYsZw9e5bPP/+cxYsXM2zYsBLdMzAwkCZNmrBw4cLShiMeE9nEXAghhCibCp2VuXfvXmbNmqX25Ny1bNkyduzYwXfffYePjw8ffPBBiRMzUYW09oUH/KUSQgghRNmUaYHZ7du3ExQUdM/5Dh06sH37dgC6dOnCmTNnHi26J0xGRgbm5ubFHhkZGZUdohBCCCEqUZl6zGxtbfnhhx8YO3as1vkffvgBW1tb4M5CrBYWFiW+5/2WcnjSODk5qSvxF1cuhBBCiKdXmRKzadOm8eabb7J79251jNmBAwfYsmULH3/8MQBxcXH3XW3/aaavr4+bm1tlhyGEEEIIHVWmwf9wZ/2uJUuWkJaWBoCnpyejRo1SdwIQT56navC/DPgXQghRjip08D/c2booICCgrJcLIYQQQoj/KNPgf7izuv3bb7/Nq6++qu4buXXrVo4fP15uwT2JAgMDCQsLq+wwhBBCCKGDypSYJSQk0KhRI5KSkvjuu+/Izc0F7myWHRERUa4BCiGEEEI8LcqUmE2ePJlZs2YRFxeHoaGher59+/b88ssv5RacEEIIIcTTpEyJ2bFjx+67gXnNmjX5559/HjmoJ11RURETJ07E1tYWBwcHrS2VMjIy6NGjB+bm5lhaWtKnTx/++usvtTwyMpImTZrw2WefUadOHczNzRkxYgSFhYXMnz8fBwcHatasyezZs7WeefXqVYYOHUqNGjWwtLSkffv2pKSkPK5XFkIIIUQJlCkxs7a2JjMz857zR44coVatWo8c1JMuNjYWMzMzkpKSmD9/PjNmzCAuLo6ioiJ69OjB5cuXSUhIIC4ujjNnztC3b1+t69PT09m6dSvbtm3j66+/5tNPP6Vr1678/vvvJCQk8M477/D222+TlJSkXtO7d2+ysrLYunUrhw4dwtfXlw4dOnD58uXH/fpCCCGEKEaZZmX269ePSZMm8e2336LRaCgqKiIxMZHw8HAGDBhQ3jE+cXx8fNSxeO7u7ixZsoSdO3cCd3ojz549i7OzMwCrVq2iYcOGHDhwgBYtWgB3etw+++wzLCws8Pb25rnnniMtLY0tW7ZQrVo1PD09eeedd9i9ezctW7Zk79697N+/n6ysLIyMjABYsGABGzZsYO3atepG8f+Vl5dHXl6e+jsnJ6fC2kQIIYQQZewxmzNnDg0aNMDZ2Znc3Fy8vb1p27YtrVq14u233y7vGJ84Pj4+Wr8dHR3JysoiNTUVZ2dnNSkD8Pb2xtramtTUVPWci4uL1q4K9vb2eHt7U61aNa1zd2fLpqSkkJubi52dndYWUGfPniU9Pb3YOOfOnYuVlZV6/DsuIYQQQpS/MvWYGRoasnz5cqZPn86xY8fIzc2ladOmuLu7l3d8TyQDAwOt33d7HR/l+gfdMzc3F0dHx/tue2VtbV3sc6ZMmcK4cePU3zk5OZKcCSGEEBWoTInZjBkzCA8Pv6d35+bNm7z77rtMnz693AJ8mnh5eXHhwgUuXLigtuuJEye4evUq3t7eZb6vr68vf/75J/r6+ri4uJT4OiMjI/XTpxBCCCEqXpk+ZUZFRalrl/3bjRs3iIqKeuSgnlZBQUE0atSI4OBgDh8+zP79+xkwYADt2rWjefOybxEUFBSEv78/PXv2ZMeOHZw7d46ff/6ZqVOncvDgwXJ8AyGEEEI8ijIlZoqioNFo7jmfkpKCra3tIwf1tNJoNHz//ffY2NjQtm1bgoKCqFevHt98880j33fLli20bduWQYMG4eHhQb9+/Th//jz29vblFL0QQgghHlWpNjG3sbFBo9GoG3D+OzkrLCwkNzeXN954gw8//LBCghWVSzYxF0IIIcqmQjYxX7hwIYqiMHjwYKKiorCyslLLDA0NcXFxwd/fv+xRCyGEEEI8xUqVmA0cOBAAV1dXWrVqdc9MQPGUaO0LD8j2hRBCCFE2ZZqV2a5dO/XPt27d4vbt21rlD+qiE0IIIYQQ91emwf83btwgNDSUmjVrYmZmho2NjdYhhBBCCCFKr0yJ2YQJE9i1axdLly7FyMiIFStWEBUVhZOTE6tWrSrvGIUQQgghngpl+pT5ww8/sGrVKgIDAxk0aBBt2rTBzc2NunXr8uWXXxIcHFzecQpdsvcwPMmzMmVGphBCiEpSph6zy5cvU69ePeDOeLLLly8D0Lp1a3766afyi04IIYQQ4ilSpsSsXr16nD17FoAGDRqwZs0a4E5P2oP2XtRlgYGBhIWF3bcsJCSEnj17lvl6IYQQQoiSKFNiNmjQIFJSUgCYPHkyH374IcbGxoSFhTFhwoRyDVAXLFq0iJiYmMoOo8RiYmKqbIIshBBCPM3KNMZs7Nix6p+DgoI4efIkhw4dwt3dnUaNGpVbcLri3wvpCiGEEEJUlFL1mO3atQtvb29ycnK0ztetW5cOHTrQr18/9uzZU64BVpbNmzdjZWXFl19+ec+nzOvXrzNgwADMzc1xdHQkOjr6nus/+ugj3N3dMTY2xt7enldeeaVEzw0MDCQ0NJTQ0FCsrKyoXr0606ZN4987Z+Xl5REeHk6tWrUwMzOjZcuWxMfHAxAfH8+gQYPIzs5Go9Gg0WiIjIx8pJiEEEII8XiUKjFbuHAhw4YNu+8CslZWVgwfPpz33nuv3IKrLF999RX9+/cvdobphAkTSEhI4Pvvv2fHjh3Ex8dz+PBhtfzgwYOMHj2aGTNmkJaWxrZt22jbtm2Jnx8bG4u+vj779+9n0aJFvPfee6xYsUItDw0NZd++faxevZqjR4/Su3dvOnXqxKlTp2jVqhULFy7E0tKSzMxMMjMzCQ8PL1NMeXl55OTkaB1CCCGEqDil+pSZkpLCO++8U2z5Cy+8wIIFCx45qMr04YcfMnXqVH744QetHQ7uys3N5dNPP+WLL76gQ4cOwJ1Eqnbt2mqdjIwMzMzM6NatGxYWFtStW5emTZuWOAZnZ2fef/99NBoNnp6eHDt2jPfff59hw4aRkZHBypUrycjIwMnJCYDw8HC2bdvGypUrmTNnDlZWVmg0GhwcHB4pprlz5xIVFVXiuIUQQgjxaErVY/bXX389cH9MfX19/v7770cOqrKsXbuWsWPHEhcXd9+kDCA9PZ3bt2/TsmVL9ZytrS2enp7q7+eff566detSr149XnvtNb788ktu3LhR4jieffZZNBqN+tvf359Tp05RWFjIsWPHKCwsxMPDA3Nzc/VISEggPT292HuWJaYpU6aQnZ2tHhcuXCjxOwghhBCi9EqVmNWqVYtff/212PKjR4/i6Oj4yEFVlqZNm1KjRg0+++wzrTFdpWVhYcHhw4f5+uuvcXR0ZPr06TRu3JirV68+coy5ubno6elx6NAhkpOT1SM1NZVFixaVa0xGRkZYWlpqHUIIIYSoOKVKzLp06cK0adO4devWPWU3b94kIiKCbt26lVtwj1v9+vXZvXs333//PaNGjSq2joGBAUlJSeq5K1eu8Ntvv2nV09fXJygoiPnz53P06FHOnTvHrl27ShTHv+8N8Msvv+Du7o6enh5NmzalsLCQrKws3NzctI67ny4NDQ0pLCy8576PEpMQQgghKl6pxpi9/fbbrFu3Dg8PD0JDQ9XPdydPnuTDDz+ksLCQqVOnVkigj4uHhwe7d+8mMDAQfX19Fi5cqFVubm7OkCFDmDBhAnZ2dtSsWZOpU6dSrdr/z3E3bdrEmTNnaNu2LTY2NmzZsoWioiKtz50PkpGRwbhx4xg+fDiHDx9m8eLF6sxPDw8PgoODGTBgANHR0TRt2pS///6bnTt34uPjQ9euXXFxcSE3N5edO3fSuHFjTE1N2bVr1yPFJIQQQoiKV6rEzN7enp9//pk333yTKVOmqJ/7NBoNHTt25MMPP8Te3r5CAn2cPD092bVrF4GBgejp6d1T/u6775Kbm0v37t2xsLBg/PjxZGdnq+XW1tasW7eOyMhIbt26hbu7O19//TUNGzYs0fMHDBjAzZs38fPzQ09PjzFjxvD666+r5StXrmTWrFmMHz+eP/74g+rVq/Pss8+qvZWtWrXijTfeoG/fvly6dImIiAiCgoIeKSYhhBBCVDyNUsbBVFeuXOH06dMoioK7uzs2NjblHdtTKTAwkCZNmtzTU6cLcnJysLKyInvzbixlE3MhhBCixNR/Q7OzHzhmu0wr/wPY2NjQokWLsl4uqrLWviATAYQQQohyV+bETJReRkYG3t7exZafOHHiMUYjhBBCCF0jidlj5OTkRHJy8gPL726tJIQQQoinjyRmj5G+vj5ubm6VHYYQQgghdJQkZqL09h6GJ2HwvwzyF0IIoWNKtcCsEEIIIYSoOJKYlZOQkBB69uxZ2WEIIYQQogqr8olZZGQkTZo0Kbf7BQYGEhYWVurrFi1aRExMTLnFUZHi4+PRaDTlsnenEEIIIcqPjDH7P7dv38bQ0LDM11tZWZVjNEIIIYR4GlV6j1lRURFz587F1dUVExMTGjduzNq1a4H/37Ozc+dOmjdvjqmpKa1atSItLQ2AmJgYoqKiSElJQaPRoNFo1F6rq1evMnToUGrUqIGlpSXt27cnJSVFfe7dnrYVK1bg6uqKsbExISEhJCQksGjRIvV+586do7CwkCFDhqgxenp6smjRIq33+O+nzMDAQEaPHs3EiROxtbXFwcGByMhIrWs0Gg3Lli2jW7dumJqa4uXlxb59+zh9+jSBgYGYmZnRqlUr0tPTta77/vvv8fX1xdjYmHr16hEVFUVBQYHWfVesWMFLL72Eqakp7u7ubNy4EYBz587x3HPPAXcWCdZoNISEhJT5v58QQgghyk+lJ2Zz585l1apVfPzxxxw/fpyxY8fyv//9j4SEBLXO1KlTiY6O5uDBg+jr6zN48GAA+vbty/jx42nYsCGZmZlkZmbSt29fAHr37k1WVhZbt27l0KFD+Pr60qFDBy5fvqze9/Tp03z33XesW7eO5ORkFi1ahL+/P8OGDVPv5+zsTFFREbVr1+bbb7/lxIkTTJ8+nbfeeos1a9Y88N1iY2MxMzMjKSmJ+fPnM2PGDOLi4rTqzJw5kwEDBpCcnEyDBg149dVXGT58OFOmTOHgwYMoikJoaKhaf8+ePQwYMIAxY8Zw4sQJli1bRkxMDLNnz9a6b1RUFH369OHo0aN06dKF4OBgLl++jLOzM9999x0AaWlpZGZm3pNk3pWXl0dOTo7WIYQQQoiKU6mfMvPy8pgzZw4//vgj/v7+ANSrV4+9e/eybNkydePu2bNn065dOwAmT55M165duXXrFiYmJpibm6Ovr4+Dg4N6371797J//36ysrIwMjICYMGCBWzYsIG1a9eq9719+zarVq2iRo0a6rWGhoaYmppq3U9PT4+oqCj1t6urK/v27WPNmjX06dOn2Pfz8fEhIiICAHd3d5YsWcLOnTt5/vnn1TqDBg1S7zFp0iT8/f2ZNm0aHTt2BGDMmDEMGjRIrR8VFcXkyZMZOHCg2l4zZ85k4sSJ6rPgTg9e//79AZgzZw4ffPAB+/fvp1OnTtja2gJQs2ZNrK2ti41/7ty5Wu8thBBCiIpVqYnZ6dOnuXHjhlaiAncSpqZNm6q/fXx81D87OjoCkJWVRZ06de5735SUFHJzc7Gzs9M6f/PmTa3PgnXr1tVKyh7kww8/5LPPPiMjI4ObN29y+/bth046+Hfcd2PPysoqto69vT0AjRo10jp369YtcnJysLS0JCUlhcTERK0essLCQm7dusWNGzcwNTW9575mZmZYWlre8+yHmTJlCuPGjVN/5+Tk4OzsXKp7CCGEEKLkKjUxy83NBWDz5s3UqlVLq8zIyEhNogwMDNTzGo0GuDM27UH3dXR0vO/2Rv/uITIzMytRnKtXryY8PJzo6Gj8/f2xsLDg3XffJSkp6YHX/Tvuu7H/N+77vduD3jc3N5eoqCh69ep1z/OMjY1L9eyHMTIyUnschRBCCFHxKjUx8/b2xsjIiIyMDPVT5b/9d9D7/RgaGlJYWKh1ztfXlz///BN9fX1cXFxKFdP97peYmEirVq0YMWJEqWKrCL6+vqSlpT3S1k53Z5/+9z2FEEIIUbkqNTGzsLAgPDycsWPHUlRUROvWrcnOziYxMRFLS0vq1q370Hu4uLhw9uxZkpOTqV27NhYWFgQFBeHv70/Pnj2ZP38+Hh4eXLx4kc2bN/PSSy/RvHnxW/G4uLiQlJTEuXPnMDc3x9bWFnd3d1atWsX27dtxdXXl888/58CBA7i6upZnc5TI9OnT6datG3Xq1OGVV16hWrVqpKSk8OuvvzJr1qwS3aNu3bpoNBo2bdpEly5d1LF6QgghhKhclT4rc+bMmUybNo25c+fi5eVFp06d2Lx5c4mTnpdffplOnTrx3HPPUaNGDb7++ms0Gg1btmyhbdu2DBo0CA8PD/r168f58+fVcVzFCQ8PR09PD29vb2rUqEFGRgbDhw+nV69e9O3bl5YtW3Lp0iWt3rPHqWPHjmzatIkdO3bQokULnn32Wd5///0SJbF31apVS51EYG9vrzXrUwghhBCVR6MoilLZQYiqIScnBysrK7I378ZSNjEXQgghSkz9NzQ7G0tLy2LrVXqPmRBCCCGEuEO2ZBKl19oXHpDtCyGEEKJspMdMCCGEEEJHSGImhBBCCKEj5FOmKL29h6EqDv6Xwf5CCCF0nPSYCSGEEELoCEnMhBBCCCF0xBOVmCmKwuuvv46trS0ajYbk5OQKeU5gYCBhYWFlvt7FxYWFCxeqvzUaDRs2bCjx9TExMVp7fgohhBDiyfBEjTHbtm0bMTExxMfHU69ePapXr17ZIZVIZmYmNjY2Ja7ft29funTpUoERCSGEEKIyPFGJWXp6Oo6OjrRq1aqyQykVBweHUtU3MTHBxMSkgqIRQgghRGV5Yj5lhoSEMGrUKDIyMtBoNLi4uJCXl8fo0aOpWbMmxsbGtG7dmgMHDmhdl5CQgJ+fH0ZGRjg6OjJ58mQKCgrU8uvXrzNgwADMzc1xdHQkOjq6VHFlZWXRvXt3TExMcHV15csvv7ynzr8/ZZ47dw6NRsO6det47rnnMDU1pXHjxuzbt0+t/99PmZGRkTRp0oTPP/8cFxcXrKys6NevH9euXVPrXLt2jeDgYMzMzHB0dOT9999/5E+yQgghhChfT0xitmjRImbMmEHt2rXJzMzkwIEDTJw4ke+++47Y2FgOHz6Mm5sbHTt25PLlywD88ccfdOnShRYtWpCSksLSpUv59NNPmTVrlnrfCRMmkJCQwPfff8+OHTuIj4/n8OHDJY4rJCSECxcusHv3btauXctHH31EVlbWQ6+bOnUq4eHhJCcn4+HhQf/+/bUSxv9KT09nw4YNbNq0iU2bNpGQkMC8efPU8nHjxpGYmMjGjRuJi4tjz549D32PvLw8cnJytA4hhBBCVJwn5lOmlZUVFhYW6Onp4eDgwPXr11m6dCkxMTF07twZgOXLlxMXF8enn37KhAkT+Oijj3B2dmbJkiVoNBoaNGjAxYsXmTRpEtOnT+fGjRt8+umnfPHFF3To0AGA2NhYateuXaKYfvvtN7Zu3cr+/ftp0aIFAJ9++ileXl4PvTY8PJyuXbsCEBUVRcOGDTl9+jQNGjS4b/2ioiJiYmKwsLAA4LXXXmPnzp3Mnj2ba9euERsby1dffaW+x8qVK3FycnpgDHPnziUqKqpE7yqEEEKIR/fE9Jj9V3p6Ovn5+QQEBKjnDAwM8PPzIzU1FYDU1FT8/f3RaDRqnYCAAHJzc/n9999JT0/n9u3btGzZUi23tbXF09OzRDGkpqair69Ps2bN1HMNGjQo0YxKHx8f9c+Ojo4AD+xpc3FxUZOyu9fcrX/mzBny8/Px8/NTy62srB76HlOmTCE7O1s9Lly48NC4hRBCCFF2T0yP2ZPGwMBA/fPdxLGoqKhE9e9e86D6JWFkZISRkdEj3UMIIYQQJffE9pjVr18fQ0NDEhMT1XP5+fkcOHAAb29vALy8vNi3bx+Koqh1EhMTsbCwoHbt2tSvXx8DAwOSkpLU8itXrvDbb7+VKIYGDRpQUFDAoUOH1HNpaWlcvXr1Ed+udOrVq4eBgYHWxIfs7OwSv4cQQgghHo8ntsfMzMyMN998kwkTJmBra0udOnWYP38+N27cYMiQIQCMGDGChQsXMmrUKEJDQ0lLSyMiIoJx48ZRrVo1zM3NGTJkCBMmTMDOzo6aNWsydepUqlUrWT7r6elJp06dGD58OEuXLkVfX5+wsLDHvtSFhYUFAwcOVNuiZs2aREREUK1aNa3PuEIIIYSoXE9sYgYwb948ioqKeO2117h27RrNmzdn+/bt6mKutWrVYsuWLUyYMIHGjRtja2vLkCFDePvtt9V7vPvuu+Tm5tK9e3csLCwYP3482dnZJY5h5cqVDB06lHbt2mFvb8+sWbOYNm1aub/rw7z33nu88cYbdOvWDUtLSyZOnMiFCxcwNjZ+7LEIIYQQ4v40yr+/44mnxvXr16lVqxbR0dFqD+LD5OTkYGVlRfbm3ViamVdwhBWgXfPKjkAIIcRTSv03NDsbS0vLYus90T1m4v87cuQIJ0+exM/Pj+zsbGbMmAFAjx49Sn+z1r7wgL9UQgghhCgbScwewZ49e9Q10u4nNzf3MUbzcAsWLCAtLQ1DQ0OaNWvGnj17qsx+okIIIcTTQD5lPoKbN2/yxx9/FFvu5ub2GKOpeCXthhVCCCGENvmU+RiYmJg8ccmXEEIIISqPJGai9PYehqo0+F8G/QshhKgintgFZoUQQgghqhqdScwCAwMJCwur0Ge4uLiwcOHCB9aJjIykSZMmZX6Goii8/vrr2NraotFoSE5OfizvJoQQQoiqT2cSs8qg0WjYsGFDud5z27ZtxMTEsGnTJjIzM3nmmWdYt24dM2fOVOuUJEEUQgghxNNHxpiVs/T0dBwdHWnVqpV6ztbWthIjEkIIIURVoVM9ZkVFRUycOBFbW1scHByIjIxUy65evcrQoUOpUaMGlpaWtG/fnpSUFLU8PT2dHj16YG9vj7m5OS1atODHH38s9lkuLi4AvPTSS2g0GvX3XZ9//jkuLi5YWVnRr18/rl279tD4Q0JCGDVqFBkZGVr3/PenzMDAQM6fP8/YsWPRaDTqXpUxMTFYW1uzfft2vLy8MDc3p1OnTmRmZmo9Y8WKFXh5eWFsbEyDBg346KOP1LLbt28TGhqKo6MjxsbG1K1bl7lz5wJ3PrFGRkZSp04djIyMcHJyYvTo0Q99JyGEEEI8PjqVmMXGxmJmZkZSUhLz589nxowZxMXFAdC7d2+ysrLYunUrhw4dwtfXlw4dOnD58mXgzmKuXbp0YefOnRw5coROnTrRvXt3MjIy7vusAwcOAHf2sszMzFR/w50kb8OGDWzatIlNmzaRkJDAvHnzHhr/okWLmDFjBrVr177nnnetW7eO2rVrM2PGDDIzM7USrxs3brBgwQI+//xzfvrpJzIyMggPD1fLv/zyS6ZPn87s2bNJTU1lzpw5TJs2jdjYWAA++OADNm7cyJo1a0hLS+PLL79Uk8PvvvuO999/n2XLlnHq1Ck2bNhAo0aNHvg+eXl55OTkaB1CCCGEqDg69SnTx8eHiIgIANzd3VmyZAk7d+7ExMSE/fv3k5WVhZGREXBnFfsNGzawdu1aXn/9dRo3bkzjxo3Ve82cOZP169ezceNGQkND73lWjRo1ALC2tsbBwUGrrKioiJiYGCwsLAB47bXX2LlzJ7Nnz35g/FZWVlhYWKCnp3fPPe+ytbVFT08PCwuLe+rk5+fz8ccfU79+fQBCQ0PVrZMAIiIiiI6OplevXgC4urpy4sQJli1bxsCBA8nIyMDd3Z3WrVuj0WioW7euem1GRgYODg4EBQVhYGBAnTp18PPze+D7zJ07l6ioqAfWEUIIIUT50akeMx8fH63fjo6OZGVlkZKSQm5uLnZ2dpibm6vH2bNnSU9PB+70mIWHh+Pl5YW1tTXm5uakpqYW22P2IC4uLmpS9u84KpqpqamalP33udevXyc9PZ0hQ4ZotcGsWbPUNggJCSE5ORlPT09Gjx7Njh071Hv17t2bmzdvUq9ePYYNG8b69espKCh4YDxTpkwhOztbPS5cuFABby2EEEKIu3Sqx8zAwEDrt0ajoaioiNzcXBwdHYmPj7/nGmtrawDCw8OJi4tjwYIFuLm5YWJiwiuvvMLt27fLLY6Kdr/n3t0x6+6+m8uXL6dly5Za9fT09ADw9fXl7NmzbN26lR9//JE+ffoQFBTE2rVrcXZ2Ji0tjR9//JG4uDhGjBjBu+++S0JCwj3PvcvIyEjtoRRCCCFExdOpxKw4vr6+/Pnnn+jr698zSP+uxMREQkJCeOmll4A7icy5c+ceeF8DAwMKCwvLOdqHMzQ0LPVz7e3tcXJy4syZMwQHBxdbz9LSkr59+9K3b19eeeUVOnXqxOXLl7G1tcXExITu3bvTvXt3Ro4cSYMGDTh27Bi+vr6P+kpCCCGEKAdVIjELCgrC39+fnj17Mn/+fDw8PLh48SKbN2/mpZdeonnz5ri7u7Nu3Tq6d++ORqNh2rRpD+3lcnFxYefOnQQEBGBkZISNjc1jeR8XFxd++ukn+vXrh5GREdWrVy/RdVFRUYwePRorKys6depEXl4eBw8e5MqVK4wbN4733nsPR0dHmjZtSrVq1fj2229xcHDA2tqamJgYCgsLadmyJaampnzxxReYmJhojUMTQgghROXSqTFmxdFoNGzZsoW2bdsyaNAgPDw86NevH+fPn8fe3h6A9957DxsbG1q1akX37t3p2LHjQ3uCoqOjiYuLw9nZmaZNmz6OVwFgxowZnDt3jvr166uTEEpi6NChrFixgpUrV9KoUSPatWtHTEwMrq6uAFhYWDB//nyaN29OixYtOHfuHFu2bKFatWpYW1uzfPlyAgIC8PHx4ccff+SHH37Azs6uol5TCCGEEKWkUe4OYhLiIXJycrCysiJ7824sZRNzIYQQosTUf0Ozs7G0tCy2XpXoMRNCCCGEeBpUiTFmuiIjIwNvb+9iy0+cOEGdOnUeY0SVpLUvPCDbF0IIIUTZSGJWCk5OTiQnJz+wXAghhBCirCQxKwV9fX3c3NwqOwwhhBBCPKEkMROlt/cw6MrgfxnYL4QQ4gkig/+FEEIIIXSEJGZCCCGEEDpCErOnUGRkJE2aNKnsMIQQQgjxH09lYlaWjc2r8nOFEEIIUTU8EYnZtWvXCA4OxszMDEdHR95//30CAwMJCwsD7uxNOXPmTAYMGIClpSWvv/46AN999x0NGzbEyMgIFxcXoqOjte6bl5fHpEmTcHZ2xsjICDc3Nz799FO1/Ndff6Vz586Ym5tjb2/Pa6+9xj///KOWBwYGEhoaSlhYGNWrV6djx44MHjyYbt26aT0nPz+fmjVrat27OIGBgYwePZqJEydia2uLg4MDkZGRWnWuXr3K0KFDqVGjBpaWlrRv356UlBQAYmJiiIqKIiUlBY1Gg0ajISYmpqRNLYQQQogK9EQkZuPGjSMxMZGNGzcSFxfHnj17OHz4sFadBQsW0LhxY44cOcK0adM4dOgQffr0oV+/fhw7dozIyEimTZumlaQMGDCAr7/+mg8++IDU1FSWLVuGufmd2YhXr16lffv2NG3alIMHD7Jt2zb++usv+vTpo/Xc2NhYDA0NSUxM5OOPP2bo0KFs27aNzMxMtc6mTZu4ceMGffv2LdH7xsbGYmZmRlJSEvPnz2fGjBnExcWp5b179yYrK4utW7dy6NAhfH196dChA5cvX6Zv376MHz+ehg0bkpmZSWZmZomfK4QQQoiKVeX3yrx27Rp2dnZ89dVXvPLKKwBkZ2fj5OTEsGHDWLhwIS4uLjRt2pT169er1wUHB/P333+zY8cO9dzEiRPZvHkzx48f57fffsPT05O4uDiCgoLuee6sWbPYs2cP27dvV8/9/vvvODs7k5aWhoeHB4GBgeTk5NyTJDZs2JCBAwcyceJEAF588UXs7OxYuXLlQ983MDCQwsJC9uzZo57z8/Ojffv2zJs3j71799K1a1eysrIwMjJS67i5uTFx4kRef/11IiMj2bBhwwMXy4U7PYZ5eXnq75ycHJydnXVrr0xZLkMIIUQV8NTslXnmzBny8/Px8/NTz1lZWeHp6alVr3lz7X/AU1NTCQgI0DoXEBDAqVOnKCwsJDk5GT09Pdq1a3ff56akpLB7927Mzc3Vo0GDBgCkp6er9Zo1a3bPtUOHDlWTsL/++outW7cyePDgEr+zj4+P1m9HR0eysrLUuHJzc7Gzs9OK7ezZs1pxlcTcuXOxsrJSD2dn51JdL4QQQojSeWoWmDUzMytVfRMTkweW5+bm0r17d9555517yhwdHR/43AEDBjB58mT27dvHzz//jKurK23atClxbAYGBlq/NRoNRUVFalyOjo7Ex8ffc521tXWJnwEwZcoUxo0bp/6+22MmhBBCiIpR5ROzevXqYWBgwIEDB9QNxLOzs/ntt99o27Ztsdd5eXmRmJiodS4xMREPDw/09PRo1KgRRUVFJCQk3PdTpq+vL9999x0uLi7o65euGe3s7OjZsycrV65k3759DBo0qFTXP4ivry9//vkn+vr6uLi43LeOoaEhhYWFD72XkZGR1udQIYQQQlSsKv8p08LCgoEDBzJhwgR2797N8ePHGTJkCNWqVUOj0RR73fjx49m5cyczZ87kt99+IzY2liVLlhAeHg7cmck5cOBABg8ezIYNGzh79izx8fGsWbMGgJEjR3L58mX69+/PgQMHSE9PZ/v27QwaNKhESc/QoUOJjY0lNTWVgQMHlk9jAEFBQfj7+9OzZ0927NjBuXPn+Pnnn5k6dSoHDx5U3+3s2bMkJyfzzz//aI0jE0IIIUTlqfKJGcB7772Hv78/3bp1IygoiICAALy8vDA2Ni72Gl9fX9asWcPq1at55plnmD59OjNmzCAkJESts3TpUl555RVGjBhBgwYNGDZsGNevXwfAycmJxMRECgsLeeGFF2jUqBFhYWFYW1tTrdrDmzUoKAhHR0c6duyIk5PTI7fBXRqNhi1bttC2bVsGDRqEh4cH/fr14/z589jb2wPw8ssv06lTJ5577jlq1KjB119/XW7PF0IIIUTZVflZmfdz/fp1atWqRXR0NEOGDKnscO4rNzeXWrVqsXLlSnr16lXZ4ZSIOqNEZmUKIYQQpVLSWZlVfowZwJEjRzh58iR+fn5kZ2czY8YMAHr06FHJkd2rqKiIf/75h+joaKytrXnxxRcrOyQhhBBC6IgnIjGDOwvIpqWlYWhoSLNmzdizZw/Vq1ev7LDukZGRgaurK7Vr1yYmJkZr4kBGRgbe3t7FXnvixAl1gkOlau0LD8j2hRBCCFE2T+SnzKqqoKCAc+fOFVtelhmg5amk3bBCCCGE0PZUfcp8Uujr6+Pm5lbZYQghhBCikjwRszKFEEIIIZ4E0mMmSm/vYdCFWZkyI1MIIcQTRnrMhBBCCCF0hCRmT6lz586h0WhITk6u7FCEEEII8X8kMXuMAgMDCQsLq+wwhBBCCKGjJDHTIYqiUFBQUNlhCCGEEKKSSGL2mISEhJCQkMCiRYvQaDRoNBpiYmLQaDRs3bqVZs2aYWRkxN69e0lPT6dHjx7Y29tjbm5OixYt+PHHH9V7vfXWW7Rs2fKeZzRu3Fjd9QBgxYoV6p6hDRo04KOPPnos7yqEEEKIspHE7DFZtGgR/v7+DBs2jMzMTDIzM3F2dgZg8uTJzJs3j9TUVHx8fMjNzaVLly7s3LmTI0eO0KlTJ7p3705GRgYAwcHB7N+/n/T0dPX+x48f5+jRo7z66qsAfPnll0yfPp3Zs2eTmprKnDlzmDZtGrGxsSWOOS8vj5ycHK1DCCGEEBVHErPHxMrKCkNDQ0xNTXFwcMDBwQE9PT0AZsyYwfPPP0/9+vWxtbWlcePGDB8+nGeeeQZ3d3dmzpxJ/fr12bhxIwANGzakcePGfPXVV+r9v/zyS1q2bKkuUBsREUF0dDS9evXC1dWVXr16MXbsWJYtW1bimOfOnYuVlZV63E0khRBCCFExJDHTAc2ba6/HlZubS3h4OF5eXlhbW2Nubk5qaqraYwZ3es3uJmaKovD1118THBwMwPXr10lPT2fIkCGYm5urx6xZs7R62R5mypQpZGdnq8eFCxfK4W2FEEIIURxZYFYHmJmZaf0ODw8nLi6OBQsW4ObmhomJCa+88gq3b99W6/Tv359JkyZx+PBhbt68yYULF+jbty9wJ7EDWL58+T1j0e720pWEkZERRkZGZX0tIYQQQpSSJGaPkaGhIYWFhQ+tl5iYSEhICC+99BJwJ9H67+bmtWvXpl27dnz55ZfcvHmT559/npo1awJgb2+Pk5MTZ86cUXvRhBBCCKH7JDF7jFxcXEhKSuLcuXOYm5tTVFR033ru7u6sW7eO7t27o9FomDZt2n3rBgcHExERwe3bt3n//fe1yqKiohg9ejRWVlZ06tSJvLw8Dh48yJUrVxg3blyFvJ8QQgghHo2MMXuMwsPD0dPTw9vbmxo1amiNGfu39957DxsbG1q1akX37t3p2LEjvr6+99R75ZVXuHTpEjdu3KBnz55aZUOHDmXFihWsXLmSRo0a0a5dO2JiYnB1da2IVxNCCCFEOdAoiqJUdhCiasjJycHKyorszbuxlE3MhRBCiBJT/w3NzsbS0rLYetJjJoQQQgihI2SMmSi91r7wgGxfCCGEEGUjPWZCCCGEEDpCEjMhhBBCCB0hiZkQQgghhI6QxEwIIYQQQkdIYiaEEEIIoSMkMRNCCCGE0BGSmAkhhBBC6AhJzIQQQgghdIQkZkIIIYQQOkISMyGEEEIIHSFbMokSu7vffU5OTiVHIoQQQlQtd//tvPtvaXEkMRMldunSJQCcnZ0rORIhhBCiarp27RpWVlbFlktiJkrM1tYWgIyMjAf+pRKll5OTg7OzMxcuXMBSNogvd9K+FUfatmJJ+1acx922iqJw7do1nJycHlhPEjNRYtWq3RmSaGVlJf+DqCCWlpbSthVI2rfiSNtWLGnfivM427YknRoy+F8IIYQQQkdIYiaEEEIIoSMkMRMlZmRkREREBEZGRpUdyhNH2rZiSftWHGnbiiXtW3F0tW01ysPmbQohhBBCiMdCesyEEEIIIXSEJGZCCCGEEDpCEjMhhBBCCB0hiZkQQgghhI6QxEyUyIcffoiLiwvGxsa0bNmS/fv3V3ZIVcJPP/1E9+7dcXJyQqPRsGHDBq1yRVGYPn06jo6OmJiYEBQUxKlTp7TqXL58meDgYCwtLbG2tmbIkCHk5uY+xrfQTXPnzqVFixZYWFhQs2ZNevbsSVpamladW7duMXLkSOzs7DA3N+fll1/mr7/+0qqTkZFB165dMTU1pWbNmkyYMIGCgoLH+So6Z+nSpfj4+KgLb/r7+7N161a1XNq1/MybNw+NRkNYWJh6Ttq37CIjI9FoNFpHgwYN1PKq0LaSmImH+uabbxg3bhwREREcPnyYxo0b07FjR7Kysio7NJ13/fp1GjduzIcffnjf8vnz5/PBBx/w8ccfk5SUhJmZGR07duTWrVtqneDgYI4fP05cXBybNm3ip59+4vXXX39cr6CzEhISGDlyJL/88gtxcXHk5+fzwgsvcP36dbXO2LFj+eGHH/j2229JSEjg4sWL9OrVSy0vLCyka9eu3L59m59//pnY2FhiYmKYPn16ZbySzqhduzbz5s3j0KFDHDx4kPbt29OjRw+OHz8OSLuWlwMHDrBs2TJ8fHy0zkv7PpqGDRuSmZmpHnv37lXLqkTbKkI8hJ+fnzJy5Ej1d2FhoeLk5KTMnTu3EqOqegBl/fr16u+ioiLFwcFBeffdd9VzV69eVYyMjJSvv/5aURRFOXHihAIoBw4cUOts3bpV0Wg0yh9//PHYYq8KsrKyFEBJSEhQFOVOWxoYGCjffvutWic1NVUBlH379imKoihbtmxRqlWrpvz5559qnaVLlyqWlpZKXl7e430BHWdjY6OsWLFC2rWcXLt2TXF3d1fi4uKUdu3aKWPGjFEURf7ePqqIiAilcePG9y2rKm0rPWbigW7fvs2hQ4cICgpSz1WrVo2goCD27dtXiZFVfWfPnuXPP//UalsrKytatmyptu2+ffuwtramefPmap2goCCqVatGUlLSY49Zl2VnZwNga2sLwKFDh8jPz9dq3wYNGlCnTh2t9m3UqBH29vZqnY4dO5KTk6P2Dj3tCgsLWb16NdevX8ff31/atZyMHDmSrl27arUjyN/b8nDq1CmcnJyoV68ewcHBZGRkAFWnbWUTc/FA//zzD4WFhVp/SQHs7e05efJkJUX1ZPjzzz8B7tu2d8v+/PNPatasqVWur6+Pra2tWkdAUVERYWFhBAQE8MwzzwB32s7Q0BBra2utuv9t3/u1/92yp9mxY8fw9/fn1q1bmJubs379ery9vUlOTpZ2fUSrV6/m8OHDHDhw4J4y+Xv7aFq2bElMTAyenp5kZmYSFRVFmzZt+PXXX6tM20piJoSo8kaOHMmvv/6qNZZEPBpPT0+Sk5PJzs5m7dq1DBw4kISEhMoOq8q7cOECY8aMIS4uDmNj48oO54nTuXNn9c8+Pj60bNmSunXrsmbNGkxMTCoxspKTT5nigapXr46ent49s1b++usvHBwcKimqJ8Pd9ntQ2zo4ONwzyaKgoIDLly9L+/+f0NBQNm3axO7du6ldu7Z63sHBgdu3b3P16lWt+v9t3/u1/92yp5mhoSFubm40a9aMuXPn0rhxYxYtWiTt+ogOHTpEVlYWvr6+6Ovro6+vT0JCAh988AH6+vrY29tL+5Yja2trPDw8OH36dJX5uyuJmXggQ0NDmjVrxs6dO9VzRUVF7Ny5E39//0qMrOpzdXXFwcFBq21zcnJISkpS29bf35+rV69y6NAhtc6uXbsoKiqiZcuWjz1mXaIoCqGhoaxfv55du3bh6uqqVd6sWTMMDAy02jctLY2MjAyt9j127JhW8hsXF4elpSXe3t6P50WqiKKiIvLy8qRdH1GHDh04duwYycnJ6tG8eXOCg4PVP0v7lp/c3FzS09NxdHSsOn93H8sUA1GlrV69WjEyMlJiYmKUEydOKK+//rpibW2tNWtF3N+1a9eUI0eOKEeOHFEA5b333lOOHDminD9/XlEURZk3b55ibW2tfP/998rRo0eVHj16KK6ursrNmzfVe3Tq1Elp2rSpkpSUpOzdu1dxd3dX+vfvX1mvpDPefPNNxcrKSomPj1cyMzPV48aNG2qdN954Q6lTp46ya9cu5eDBg4q/v7/i7++vlhcUFCjPPPOM8sILLyjJycnKtm3blBo1aihTpkypjFfSGZMnT1YSEhKUs2fPKkePHlUmT56saDQaZceOHYqiSLuWt3/PylQUad9HMX78eCU+Pl45e/askpiYqAQFBSnVq1dXsrKyFEWpGm0riZkokcWLFyt16tRRDA0NFT8/P+WXX36p7JCqhN27dyvAPcfAgQMVRbmzZMa0adMUe3t7xcjISOnQoYOSlpamdY9Lly4p/fv3V8zNzRVLS0tl0KBByrVr1yrhbXTL/doVUFauXKnWuXnzpjJixAjFxsZGMTU1VV566SUlMzNT6z7nzp1TOnfurJiYmCjVq1dXxo8fr+Tn5z/mt9EtgwcPVurWrasYGhoqNWrUUDp06KAmZYoi7Vre/puYSfuWXd++fRVHR0fF0NBQqVWrltK3b1/l9OnTanlVaFuNoijK4+mbE0IIIYQQDyJjzIQQQgghdIQkZkIIIYQQOkISMyGEEEIIHSGJmRBCCCGEjpDETAghhBBCR0hiJoQQQgihIyQxE0IIIYTQEZKYCSGEEELoCEnMhBBCCCF0hCRmQgghhBA6QhIzIYQQQggdIYmZEEIIIYSO+H/Js2KQtyilzAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 600x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cat_sin_fraude = data[data['is_fraud']==0].groupby('category').size().sort_values()\n",
    "cat_con_fraude = data[data['is_fraud']==1].groupby('category').size().sort_values()\n",
    "\n",
    "fig, ax = plt.subplots(2, 1, figsize=(6,8))\n",
    "ax[0].barh(y=cat_sin_fraude.index, width=cat_sin_fraude, color='green')\n",
    "ax[0].set_title('Compras no fraudulentas')\n",
    "ax[0].set_ylabel('Categoría')\n",
    "ax[1].barh(y=cat_con_fraude.index, width=cat_con_fraude, color='pink')\n",
    "ax[1].set_title('Compras fraudulentas')\n",
    "ax[1].set_ylabel('Categoría')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "osDtf1xsK-Ym"
   },
   "source": [
    "Podemos observar que la mayor parte de transacciones fraudulentas detectadas han sido en compras de artículos de shopping por internet, y en compras realizadas en almacenes o quioscos."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "BE-GaZzGN_4O"
   },
   "source": [
    "### 2. ¿Cómo se distribuyen las transacciones en base al género de la persona?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 341
    },
    "executionInfo": {
     "elapsed": 442,
     "status": "ok",
     "timestamp": 1719768454227,
     "user": {
      "displayName": "Franco Giordano",
      "userId": "11864357500095360887"
     },
     "user_tz": 180
    },
    "id": "XzXi17jScKsf",
    "outputId": "8ad86067-d438-40e9-c03c-eec2df32499c"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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er8eaNWswbdq00vdJo9Fg6dKl2LNnD1auXIn169djzJgx+Pzzz7Fnzx54eXnd9rmIrse216aqbW9FMn300Ud45513MGbMGEyZMgX+/v7QarV4+eWXZd8mBgcHY+HCheXeXl6va3nu5HuclZWFHj16wMfHBx988AGioqLg5uaGQ4cO4a233rJ7nz7//HPExMRgxYoV+PPPP/Hiiy9i6tSp2LNnT+nCQ2en2OIPAIYMGYLZs2dj9+7ddsME5alfvz6sVivi4uJKJ4cCtqtPZGVloX79+g7NZrVaceHChdIzTgA4e/YsANzR3kRLly5FZGQkli1bZvfLV96+UHq9HkOHDsXQoUNhtVoxYcIEfPfdd3jnnXfKnG1XVMn7cubMmTK3xcbGIjAw0OHbsyxduhSjR4/G559/XnrMaDSW2ei4pNcuKyvLbiuZG3sSSl5DXFyc3VnttWvXypxR3uljlicqKgpHjx7Fvffee8d/6G7nZo+zcuVKFBUV4Y8//rA7Wy5vRSIAdO7cGZ07d8Z///tfLFq0CI8//jgWL16McePGOSQnqQvbXpvqbHtvzNSrVy98//33dsezsrJKF4IB9u3X9W7VJpZMSwFs02zi4+PRunXrCj9meaKiorBx40Z07dq13KK2Mm7WJm7ZsgXp6elYtmwZ7rnnntLj8fHx5d4/Ojoa0dHR+M9//oNdu3aha9eumDVrFj788EOH5JQ7xQ77AsCbb74JT09PjBs3DikpKWVuP3/+fOmy+0GDBgFAmUuLlfTSDB482OH5ZsyYUfp/SZIwY8YMuLq64t57773t15acAV1/xrN3717s3r3b7n7p6el2n2u1WrRq1QoAHDK0FxISgjZt2mD+/Pl2v/wnTpzAn3/+Wfq+OpJOpytzpjd9+vQyZ5ol8+W2bdtWeiw/P7/MWXefPn3g6uqK6dOn2z1ueZeZu9PHLM/DDz+MK1euYM6cOWVuKywsrNTweElhfWPDW97PR3Z2NubOnWt3v8zMzDLvZclqRQ79UmWx7a3+tvfGTDf+Hi9ZsgRXrlyxO1Ze+2WxWMpstt2hQwcEBQVh1qxZdjsezJs3r0xbc6ePWZ6HH34YFosFU6ZMKXNbcXFxpa5cVJE20WQy4dtvv7W7X05ODoqLi+2ORUdHQ6vVqqpNVHTPX1RUFBYtWoRHHnkEzZo1s9tlfteuXViyZEnpdVtbt26N0aNHY/bs2aXdw/v27cP8+fNx//33o1evXg7N5ubmhnXr1mH06NHo1KkT1q5di9WrV2PSpEllurrLM2TIECxbtgzDhw/H4MGDER8fj1mzZqF58+bIy8srvd+4ceOQkZGB3r17IywsDImJiZg+fTratGljd5ZdFZ9++ikGDhyIu+++G2PHji3d6sXX1xfvv/++Q57jekOGDMGCBQvg6+uL5s2bY/fu3di4cSMCAgLs7tevXz+Eh4dj7NixeOONN6DT6fDDDz8gKCgIFy9eLL1fUFAQXn/9dUydOhVDhgzBoEGDcPjwYaxdu9burLkij1meJ554Ar/++iueffZZbN68GV27doXFYkFsbCx+/fVXrF+/Hh06dKjQe9G+fXsAwL///W+MHDkSrq6uGDp0KPr161fa6zB+/Hjk5eVhzpw5CA4ORlJSUunXz58/H99++y2GDx+OqKgo5ObmYs6cOfDx8amWwp3UgW1vzbS912f64IMP8NRTT6FLly44fvw4Fi5cWGZ+XosWLdC5c2e8/fbbyMjIgL+/PxYvXlym2HF1dcWHH36I8ePHo3fv3njkkUcQHx+PuXPnVvoxy9OjRw+MHz8eU6dOxZEjR9CvXz+4uroiLi4OS5YswVdffYWHHnqoQu9FmzZtoNPp8PHHHyM7OxsGgwG9e/dGly5dUKtWLYwePRovvvgiNBoNFixYUKZo3rRpEyZOnIgRI0agcePGKC4uxoIFC6DT6fDggw9WKIui1fwCY8c7e/as9PTTT0sNGjSQ9Hq95O3tLXXt2lWaPn166fJuSZIks9ksTZ48WYqIiJBcXV2levXqSW+//bbdfSSp/GX4klT+liUlWwZ8+umnpcdGjx4teXp6SufPn5f69esneXh4SLVr15bee+89u+X65X1tCavVKn300UdS/fr1JYPBILVt21ZatWpVmaX0S5culfr16ycFBwdLer1eCg8Pl8aPHy8lJSXd8j271XMDkN577z27Yxs3bpS6du0qubu7Sz4+PtLQoUOlU6dO3fI5rn+8m231Ut4WJJmZmdJTTz0lBQYGSl5eXlL//v2l2NhYqX79+nbbskiSJB08eFDq1KlT6Wv/4osvyt2awGKxSJMnT5ZCQkIkd3d3qWfPntKJEyeq9Jg3bvUiSbYtFD7++GOpRYsWksFgkGrVqiW1b99emjx5spSdnX3L90SSpHLzTJkyRapbt66k1WrtMvzxxx9Sq1atJDc3N6lBgwbSxx9/LP3www929zl06JD06KOPSuHh4ZLBYJCCg4OlIUOGSAcOHCjz3EQVxba34m3vzV5nydYp5W1BYjQapddee620/eratau0e/fuctug8+fPS3369JEMBoNUu3ZtadKkSdKGDRvK3R7l22+/lSIiIiSDwSB16NBB2rZtW5Ue88b3qMTs2bOl9u3bS+7u7pK3t7cUHR0tvfnmm9LVq1dv+Z5IUvnt7Jw5c6TIyEhJp9PZZdi5c6fUuXNnyd3dXQoNDZXefPPN0q2CSu5z4cIFacyYMVJUVJTk5uYm+fv7S7169ZI2btxY5rmdmUaSamhmv4rExMRg6dKldmeJRERUvdj2Et0ZRc/5IyIiIqKKYfFHREREpCIs/oiIiIhUhHP+iIiIiFSEPX9EREREKsLij4iIiEhFWPwRERERqQiLPyIiIiIVYfFHREREpCIs/oiIiIhUhMUfERERkYqw+CMiIiJSERZ/RERERCrC4o+IiIhIRVj8EREREakIiz8iIiIiFWHxR0RERKQiLP6IiIiIVITFHxEREZGKsPgjIiJycjExMdBoNHj22WfL3Pb8889Do9EgJiam5oORECz+SDHYeBERVV69evWwePFiFBYWlh4zGo1YtGgRwsPDBSajmsbijxSFjRcRUeW0a9cO9erVw7Jly0qPLVu2DOHh4Wjbtq3AZFTTWPyRorDxIiKqvDFjxmDu3Lmln//www946qmnBCYiEVj8keKw8SIiqpxRo0Zhx44dSExMRGJiInbu3IlRo0aJjkU1zEV0AKKKGjVqFN5++20kJiYCAHbu3InFixdjy5YtYoMREclcUFAQBg8ejHnz5kGSJAwePBiBgYGiY1ENY/FHisPGi4io8saMGYOJEycCAL755hvBaUgEFn+kSGy8iIgqZ8CAATCZTNBoNOjfv7/oOCQAiz9SJDZeRESVo9PpcPr06dL/k/qw+CNFYuNFRFR5Pj4+oiOQQCz+SLHYeBER3Zl58+bd8vbly5fXSA6SB40kSZLoEERERERUM7jPHxEREZGKsPgjIiIiUhEWf0REREQqwuKPiIiISEW42pfumNUqITW3CFezC5GUZURGgQmmYitMxVaYLbYPU7EVJss/x0zFVui0Wvi4u8DHzRU+7q7wdXeFj5vLP///+3NvN1fRL5GIqFoZzRZczixARr4Z+aZiFBRZkG8qRqHJYvd5QZEFBWYLNAA89Dp46F3godfBXa/7+3Md3PUu8HC1/b+Wpx6hfu7wdWc7SrfH4o/sXMoowJnkXFzJKiwt8pKyC3E1y4iUHCOKrdW3ONxDr0O4vwfqB3igQYAnwgM8EBXkhca1veHvqa+25yUicqTsAjMSM/KRmF6AixkFSEz/5//JOUZU5x4b3gYXhPq5o24td4T7e6BBgAcig7wQEeiJun7u0Go11ffkpBjc6kXFkrILcexyNo5fzsaxK9k4fjkLmQVm0bHKFeilR6NgbzSu7YVWYX7oFOmPsFoeomMRkcpl5JtwMDETBxMzcSgxE2dScpFdKM921OCiRePa3mhfvxba1a+FDvVrIdTPXXQsEoDFn0oYzRbsjc/A4YuZOH45G8evZCM1t0h0rCqp6+eOTpH+6BwZgM4RAQgPYDFIRNVHkiScv5aPg4kZOJCQiYMXM3HhWr7oWFUS4utWWgi2r18LzUN84KLjcgBnx+LPiaXkGPHX6VRsik3BznPpKDRbREeqViG+bugU4Y9OkQG4OzIADQI9RUciIoVLyTFi/clkbD1zDYcuZsp2dMRRPPQ6tArzRfdGQRjQsg6igrxER6JqwOLPiUiShGOXs/FXrK3gO3k1p1rnlshd49peGNIqFPe1DmUhSER37HJmAdadSMbaE8k4dDFT9e3ogJYhGNiyDpqF8JKazoLFn8JJkoSd59Kx8uhVbD6Tqvih3OrSsq4PhrYKxdDWoZzjQkRlxKflY+2JJKw7kYxjl7NFx5GliEBPDGhZBwNb1kGrMD/RcagKWPwp1LXcIvx64BJ+2X8JFzMKRMdRDI0GaBdeC0NbhWBwq1AEeRtERyIiQVJzjfh1/yWsOpaE2ORc0XEUpa6fOwZF18HIu8I5NKxALP4UxGqVsC3uGhbvu4S/YlNgtvBbVxU6rQY9GgdhbLcIdG0YKDoOEdWQQxczMX9XAtYcT2I7WkUaDdC9URBiutRHrybB0Gi4lYwSsPhTgJQc29npLwcu4XJmoeg4TqlZiA/GdovAfa1DoXfhSjciZ2MqtmLVsauYvysBRzmsWy0aBHjgibsbYESHMPhw035ZY/EnY2eSc/H1X3FYdzIZlmrcXJn+EextwJN318eozvXh58GNpYmULjXHiJ/2JGLRvktIy+Oc6JrgqddheLu6iOnSAA2DvUXHoXKw+JOhsym5+GpjHNacSFL1KjOR3F11eLB9XYztFokIrhQmUpy4lFxM33QOa09waFekbg0DMbF3Q3SODBAdha7D4k9GzqXm4suNcVhzPAns6JMHjQYY1DIEbw5ogvoBLAKJ5C4puxDTNpzFb4eucMRERno2CcJbA5pyuxiZYPEnA+dS8/D1X3FYdewqiz6Z0uu0eLxzOF66txGHg4lkKLvAjG+3nMO8XQkoKraKjkPl0GqA+9vUxav9GvPynIKx+BMoMT0f0zacxR9HWfQpha+7Kyb2aojRXRpwYQiRDBjNFszblYCZW87L9pq6ZE/vosWoTvXxQu+GqOXJk2kRWPwJYDRb8M3mc/hu2wWYeIaqSOH+HnhzQBMMaRUqOgqRKlmsEpYevIQvN8YhKdsoOg5VgrfBBeN7RGJst0i463Wi46gKi78atv5kMqasOsUtW5xE23A//GdwM7Sv7y86CpFq7IvPwH+WH8fZlDzRUcgBgr0NeP++FhgUHSI6imqw+KshV7IK8c7yE9gUmyo6ClWDRzrUwztDm8PL4CI6CpHTyjGaMXVNLBbvv8idEJzQoOg6+GBYSwR68cpL1Y3FXzWzWiXM352Az9afQb7JIjoOVaO6fu749KFW6MKrhRA53PqTyXh3xQmk5HCvPmfm76nHe0ObY1ibuqKjODUWf9XobEou3vrtGA5fzBIdhWqIRgM82bk+/jWwGeewEDlAVoEJ76w4iZVHr4qOQjWoT7Pa+Gh4SwT7uImO4pRY/FWTuTvjMXVNLEwWLuhQowYBHvj84dacC0hUBZtjU/HWb8eQmsvePjXydXfFfwY3w4gO9URHcTos/hwsx2jGW0uPYe2JZNFRSDCtBhjXPRKv9WsMgwt7AYnuVF5RMT5cdQqL918SHYVkoGeTIPzfA61Qx5e9gI7C4s+Bjl/OxvOLDuFiRoHoKCQjjYK98NXItmgeyp3tiW7nXGoenllwABeu5YuOQjIS6KXHjMfa8TJxDsLiz0F+3J2AD1ef5r59VC53Vx0+HdGK+wIS3cKGUyl49ZcjyC0qFh2FZMhFq8Hbg5phbLcI0VEUj8VfFeUazfjXsuNYfSxJdBRSgOd7ReH1fk2g0WhERyGSDUmS8OXGOHy9KY5buNBt3d8mFP/3YCu4uXI6TWWx+KuCE1eyMXHRISSkc5iX7lyfZsH4cmRb7glIBNsJ9Cu/HMXG0ymio5CCtAj1waxR7VHPn9cIrgwWf5W07kQyXlp8mBcQp0ppFOyFOU92QINAT9FRiITh/D6qiloerpj+aDt0a8S9VSuKxV8l/LQnEe+uOAEr3zmqAl93V0x/tC3uaRwkOgpRjdt4KgWvcH4fVZFOq8Eb/Zvg2R5RoqMoCou/Cvpiw1l8/Vec6BjkJHRaDd4e2BTjukeKjkJUY+Zsu4CP1p7m/D5ymEc61MPUB6Kh1XI+9Z1g8XeHLFYJ/1l+Aj/vuyg6CjmhZ+6JxKRBzUTHIKp20zacxVc8gaZqcF/rUHzxcGu46LSio8gei787YDRb8OLPh/HnKU5IpuoT06UB3r+vhegYRNVm6prT+G7bBdExyIn1bV4bMx5ry431b4PF321kF5gx7sf92J+QKToKqcDjncLx4f0tuRUMORVJkvDeHyfx4+5E0VFIBbo3CsScJztwK5hbYPF3Cyk5Rjz5/T6cSckVHYVU5OEOYfi/B1px7go5BatVwlu/HcOSg5dFRyEVuSvCHz/EdOSWWjfB4u8mMvNNGPHdbpxLzRMdhVTogbZ18emI1tCxACQFK7ZY8cqvR7Hy6FXRUUiFWof54scxneDr4So6iuyw+CtHXlExHp+zB0cvZ4uOQio2tHUopnHyMimUqdiKiYsOca40CdW0jjd+GtcJgV4G0VFkhX9VblBUbMHT8w+w8CPhVh69iomLDsNs4UbipCwWq4QJCw+y8CPhYpNz8dicPcguMIuOIiss/q5jsUqYuOgwdl9IFx2FCACw7mQy3lx6DOygJyV5d8UJbDydKjoGEQDgbEoexv24H0azRXQU2WDx9zdJkvDm0mPYwDNVkpnfD1/BJ+vPiI5BdEdmbT2PhXu5HyrJy/6ETLzw82FYeGkuACz+Sk1ZdRq/HeJqNJKnmVvOY8EebpNB8rby6FV8vC5WdAyicm04lYL/LD8hOoYssPgD8PVfcfhhZ7zoGES39P4fJ9kzTbK1PyEDry05yku2kaz9vO8ivt1yTnQM4VS/2nfFkSt4afER0TEUK3vPEmRtnQ/v9vfBv88zAIDkRf9C0SX7syuvNgMQ0H/iTR+n4Mwu5B5ZC1PyOViNuQiJ+Rr62vbXu834aw7yT/wFjasb/HqMhleLXqW35cfuQP6JvxD80HsOfHXy46HXYemzXdA81Ed0FKJSF67l4YGZu5DFSfUV5qg2NPHjIeUe9+v5FHw7PQip2Iz0dV+jIG4PdJ614N9vAtwbtPknx97fYMm5Bv++z1b9RcmcRgPMfLwdBrQMER1FGFXvfngmORf/+u246BiKVZR0FrlH1sE1qEGZ27xa94dft1Gln2tcb73M3mo2whDWHB5NuyFj3fQytxec24v801sR/PAUFGdeRfrar+Ae0Q46D19Yi/KRte1H1B75YZVfk9wVmCx4+scDWDGxK7cuIFlIzytCzNz9LPwqwZFtaNjzC+w+L7xwAOlrv4ZHk64AgNyj62BKPoc6oz5D4YWDSFv5KcIm/gSNRgNzVjLyjq5HyOgvq/yalECSgFd+OYq6fh6IDvMVHUcI1Q775hrNeO6ngyjk6p9KsZoKkbbyMwQMeAFaN68yt2tcDNB51Sr90Bo8bvl4Xi17w6/ro3Znotczp1+CW71oGEIawbN5D2j0HijOtg2BZm6eC++2g+DiE1zl16UEV7IKMX7BQRQV82eXxDKaLRg7/wAuZhSIjqI4jm5Dr7+vzqsWCs7thVv9aLj61QFga0PdG3aCPqg+vNsNhrUgG9bCHABAxp/folbPmNs+hzMpNFswdv5+JGUXio4ihGqLvzeWHMOFtHzRMRQrY8NMuEd1vGmxln9qCy59/Riufj8BmVvnwWo2Vun59EERMCWfg8WYh6Lkc5CKi+BSKxTGyydhSjkP7/ZDq/T4SnMwMRP//p0Tl0msyStP4silLNExFKk621BLfiYKz++HV6t+pcf0wREounwKVnMRjPGHoPPyh9bdB3knN0PjoodH4y5VfUmKk5pbhJd+PqLKFcCqHPb9but5rDuZLDqGYuWf2gpT8nmEjJ5W7u2ezXvCxScIOu8AmFLjkbVlHswZVxA8/N+Vfk73yPbwbNETyfNfgcZFj8DBr0DrakDG+m8RMPgV5B5eg9xDq6Bz94F//4nQB9Wv9HMpxdKDl9G9USCGtakrOgqp0NrjSfh53yXRMRSputvQvBN/Qat3tyvovKL7wpSagKvfT4DO3QeBw96C1ZiH7B0LUfvRqcjctgAFp7fBxa8OAga9BBfvQIe8Vrnbl5CBr/+Kwyt9G4uOUqNUV/ztPp/OPdOqoDjnGjL+moPaj0yBxkVf7n282wwo/b8+qAF0Xv5IXfxvmDOT4Fqr8hNs/bo9Dr9uj5d+nrVjEdwatIFGq0P27l8QOuYbFJ7bh/TVXyAk5qtKP4+S/Of3E2gXXgv1/NUzXEPiXckqxL+Wcb50ZdREG5p3bCM8m/e0e3yNzgUB/Z6zu1/a6i/h3X4oTCkXUBi3GyFPTUfO3t+QuXE2goZPquQrVJ4Zm8+ha8NA3BXhLzpKjVHVsG9KjpGbPFaRKfkcrAVZSJr3EhI/uQ+Jn9yHoksnkHtwJRI/uQ+Stew8NENIEwBAcabjLu5uTr+E/FOb4dd9FIwXj8MtrCV0Hr7waNodppTzsBapYw5SblExXvlFncMWJIbFKuHlxYeRXcgFHpVR3W2o8dIJFGdchlfrfre+X+IxmNMT4d1uCIwXj8E9sgO0ejd4NO0G40V1FfalP9MqWrSkmp4/s8WKCQsPIS2vSHQURXOr3xohY2bYHUtf8xVcA8Lg0+lBaLS6Ml9jSr0AANB5OeasSpIkpK//BrV6j4NW7w5IVkjWYtuNJf9K6rke7oHETMzYdA4v9WkkOgqpwNd/xWF/QqboGIpV3W1o3rEN0NdpCH1w5E3vIxWbkLFhJgKHvm57Psn6T5NptUBSUftZ4mq2EW/9dgyznmgvOkqNUE3P38wt53EwkQ1WVWkNHtAHNbD70LgaoHXzhj6oAcyZScja+TOKks+hODsFBXF7kb76CxjqtYQ+OKL0ca7MeRYFZ3eVfm4pzIUp5QLMabbLQpkzLsOUcgGWvLLfs7yj66Fz94FHw04AAEPdZjAmHkPRlVjk7F8B14DwclfPObOvN8Xx55uq3f6EDMzYzA1yq6K62lAAsBYVoODMDruFHuXJ2rUY7pEdoK8dBQAw1G2OgrO7YEqNR+6hVXCr28zxL1wB1p1MxsK96riSkip6/s6l5mLGJjZYNUGjc4Ex8ShyD/wBq9kIF59AeDTuAt8uI+3uV5xx2W5otvDcXqSv+bL087Q/PgEA+HZ91G6enyU/E9m7f0WdUZ+WHjOENoHPXcORunQytB6+CBz8SjW9OvmyWCW8/MthrHmxO7zdXEXHISeUXWDGy4s5xaC6VbYNBYD809sACfBs3uOmj2+6loCC2O0IiflnP1WPpl1hvHQcyQvfgmtAXQQOfcOxL0pBpqw6hbsa+KNRbW/RUaqV01/hQ5IkPDRrN3tFSBWGt62LaY+0ER2DnNBzPx3E2hPcJYGcX9M63lj+fFe4uZYdgncWTj/su2BPIgs/Uo3fD1/BH0cdt7CGCABWHr3Kwo9UIzY5F9M3xYmOUa2cuvi7mlWIT9ZxWxdSlw9WnkKuUT2r1qh65RcV47+rT4uOQVSj5myPR4ITXwjCqYu/f/9+HHlFxaJjENWotLwifLnRuc9aqeZ8vSkOyTlVu0IPkdKYiq14f+VJ0TGqjdMWfyuOXMHmM9dExyAS4sfdCTiXmis6Binc+Wt5+GFHvOgYREJsOXMNfzrp1cCcsvjLzDfhg5WnRMcgEsZskTCZvwNURe//cRJmi1OvCSS6pQ9WnYLRXHbjbaVzyuLv43WxSM83iY5BJNT2uDSs4yR9qqS1x5OwPS5NdAwioS5nFmLmlvOiYzic0xV/56/lYcnBy6JjEMnCf9c451krVa9CkwUfcpEHEQBg1tbzuJjuXJcMdbri74s/z3ITUqK/XcooxOxtF0THIIX5ZvM5XMkqFB2DSBaKiq34YJVzLf5wquLvxJVsrDmRJDoGkax8u4V/yOnOJabnY/Z2njAQXW/j6VRsPpMqOobDOFXx9+n6M3Du65UQVZzRbMVn67nfJd2ZGZvOwVRsFR2DSHambTgrOoLDOE3xt/dCOrae5dYuROX54+hVp5uzQo53JasQy49cER2DSJaOXc7GNiepM5ym+PuUPRtEN2WxSpi1zflWrJFjzdpynlu7EN3CjE3nREdwCKco/jbFpuAAr99LdEtLD15GKq/UQDeRmmvErwcuiY5BJGv7EjKwLz5DdIwqU3zxJ0kSPlvvPOPwRNXFVGzF97xaA93E/7bHo4hz/Yhua8Zm5ff+Kb74++t0Kk4l5YiOQaQIC/deRHaBWXQMkpmsAhMW7kkUHYNIEbadvYZjl7NEx6gSxRd/P7LBIrpjeUXFmL87QXQMkpkfdiYg38TNwInulNLn/im6+EtIy8f2OOdYeUNUU+btSkAh/9DT3/KKijF/V4LoGESKsuF0Cs4k54qOUWmKLv5+2pPIff2IKigj34RF+y6KjkEysWB3IrILORWAqCIkybaBvlIptvgzmi28hi9RJf2wIx5WXgZR9SRJwsK9nDpDVBlrjycjM98kOkalKLb4W3HkCs9WiSrpSlYhdl9IFx2DBNtzIQOXM3npP6LKMFmsWKHQTdEVW/z9uJtnq0RV8Rt7zlVvKX8GiKpk6SFl/g4psvg7mJiJk1e5vQtRVaw7mYz8omLRMUiQ/KJirD2RJDoGkaKduJKD2GTl1SOKLP5+4vYuRFVWYLJg7Ylk0TFIkDXHk1DAVd9EVbb0gPJ6/xRX/GUXmLH6OM9WiRyBQ7/qxSFfIsdYfuQqii3KujqO4oq/P08lw8RLEBE5xJ74dFzOLBAdg2rYpYwC7EtQ/vVJieQgLa8IW84oa89hxRV/a9jrR+QwkgT8fkiZq9Wo8pYevMw9UokcSGk96Yoq/rILzdhxLk10DCKn8vthFn9qIkkSlh1W1h8qIrn7KzYFGQra809Rxd+GUykwW3i6SuRIF9LycehipugYVEMOXczEpQzu7UfkSGaLhHUKWkCnqOKvz+XpWNRoCwYEcXNaIkfaHJsqOgLVkL9O83tNVB22nVXOvD8X0QHumNkIvxML0MWcjy4AzLUb4JRPd/ya1xqLk+vAIimqjiWSlW1xaXitXxPRMagGbGKhT1Qtdp1Pg8UqQafViI5yW8op/hK2A+b80k9dsxPQOjsBrbEAU2oF4XxAD6wwtsPcq+HIt7AQJKqI45ezkF1ghq+Hq+goVI2SsgsRm5wrOgaRU8oxFuPIpUy0r+8vOsptKadKOrv+pjdpC66h0aWleP3aJJzweg47Gv6EdyJiEaTntX+J7oRVAhdTqcDmWOUMSxEp0dazymhHlVP8xd28+LuepigXYZfXYGzSB9jn+gwORM7GZ5FHEOXBCc5Et7I9joWBs+tzbR6+b7QLA4OU8QeKSGmUMu9PI0kK2O0p5RQw8+4qPYSk0SI3qD326O/G7GstcCDb20HhiJxDXT937PxXb9ExqLpYrcCnkUChbWW3xTMYl2t1xjZLS/yYGoW4fHfBAYmUT6sBDr3TF34eetFRbkkZxd++OcCa1x36kMaA5jjs0Q0/ZrXE2muBDn1sIqXa9FoPRAZ5iY5B1SHpKPDdPeXeJEEDY0BzxHp0wJqCZliUUhf5xboaDkjkHGY81hZDWoWKjnFLyljwcfWwwx/SLf0U7k4/hbsBmIPr47RvdyzJb41FSSFcOUyqtT0ujcWfs4rfftObNJDgnn4SbdNPoi2ASe4eyAjsiP26Nvg1szE2pdequZxECrf9bJrsiz9l9Px92wVIPVkjT2X1CMKFgHuwoqgdfrhSnyuHSVX6NAvG/0Z3FB2DqsOiR4Cz6yr1pcXedXHR9y5stkRjfnIDXCx0c3A4IucR4uuG3W/fKzrGLcm/+DMXAh/VBSRLjT+1pPfC1aDuWG/tgFlXGyK1iNtgkHPzdnPB8ff7i45Bjma1AB83AIpyqvxQkkaLgoBonHJvj5X5zfFLch0UWXmSTHS93W/3RoivfOfRyr/4u7QP+L6v6BSQdAZkBHfGFm0nzEpuwsnR5LS2v9kL9fw9RMcgR0o9DXzbuVoeWtJ74VrgXdirbYuf0xtiV6ZvtTwPkZL8ENMBvZvWFh3jpuQ/5+/qEdEJAAAaSxECkrbiQWzFAxot8sLbYY++C+akNce+LB/R8YgcJjY5l8Wfs0k9XW0PrTHlIfjqJgzFJgyFbQ51vO9d2GhqiR+T6yO5SN6rHomqw+mkXBZ/VZJ0RHSCMjSSFd6pB9AXB9AXgDG0GY54dsOPWdFYw5XDpHCxSTno21y+jRZVQtrZGnsq15xENM5JRGMswXM6F+SFt8FxQzssz22K31Nrw2yV/6WviKrqdFLVp1hUJ/kXfzLp+bsVt4zT6JxxGp0BFAeH/71yuC0WJvGaw6Q8vPyXE7oWK+RpNdZieKceQBccQBcA/+fjh5SATtiFVliY1giHsrmynJyT3Is/ec/5E7jYwxGsHoGID+iBP4ra4n9X63PfLFKEyCBPbHqtp+gY5Ejf3g2knhKdogyTXxTOed+FDUUt8GNyPaSbuKiOnINOq8HJyf3h5irPv/vyLv5kstjDEWwrh7vhT2tHfHc1ivNgSLbk3mhRBVktwH/rABaT6CS3JOn0yAlshyP6tliW0wR/pAZBkjhETMq14vmuaF3PT3SMcsl72FcBQ753SmPKQ90r6/AU1iHGRY+M0LuxVXsXZiU3xVmuHCYZsVglnE3JRaswP9FRyBEy4mVf+AGAxmKCb8oe9MAe9AAwzS8QVwM6YYe1FRZci8TJXE/REYkqJDY5h8VfpchwsYcjaCwmBCRtxQPYiuF/rxzea7gbc661wF6uHCYZiE1i8ec0BM33qyptYRrCLq/GSKzGSADG0CY469kRa43N8VNSGHKL5f3ni+h0knznT8v7tycjXnSCaleycrgPDqAPAGNoUxz17I4FWdFYxZXDJMjpZHlPVqYKUGjxdyO3jDNolXEGrQC86eaGrMD2OOjSFkuzm2DdtQDR8YjKOCXjRR/yLv7yU0UnqHFuGbHolBGLTgC+/Hvl8NL8NviJ1xymGpSYXiA6AjlKDW7zUlM0xUbUSt6JPtiJPgAsAbVxqVYnbLO0wvyUCJwv4FQaEu9KZqHoCDcl7wUfU8OBomzRKWTB6h6IhMB78EdRO8zhymGqZq3CfPHHxG6iY5AjfHcPkHRUdIoaI0EDY0ALnPbsgFX5zfBLcl1eo52E0LtocfbDgaJjlEu+xZ/ZCPyXG82WR9J7IenvlcOzuHKYqkGorxt2yfzC5HQHJAn4KBQwq7cnV3L1RHpgB+zXtcXijEbYmlFLdCRSkWPv94OPm/y2MJLvsK8Kh3zvlMaUh9Ar6xCDdRjtokdGaGds096F71KaIjaPl+WiqkvLl//qULoDxixVF34AoDHnIzBpKwZiKwYCKA6qi0S/zthkboH5yRG4bDSIjkhOLC23iMVfheRdE51AEWwrh7dhOLbhfo0W+eFtsdfQBf9La47dvMA6VZKp2IrsQjN83eXXaFEFFMl3taEoLrlXEJX7G6LwG8ZptCio1won3DpgZV4TLEkJQZGVQ8TkONdyixAZJL8r2ci3+GPPX4VpJCu8Ug/iXhzEvbBtjXDUszt+yo7GytQg0fFIYdLyilj8KR2Lv1vSSFZ4XjuCTjiCTgCmeHsjNaAT9mhaY1F6I269RVWWlifPURT5Fn95LP6qyi3jDDplnEEnANOC6yHW9x4syW+NRcl1eXF1uq203CJEyfCMlSqAxV+FaIpyUfvqRgzDRgwDYK7dABd87sJGUwssSK7P+dVUYWl5RaIjlEu+xR97/hzKJecSWuYsREssxHu+gUgI6I6VpvaYzZXDdBNyPWOlCmDxVyWu2Qlokp2AJgAm6FyQF94Gxwzt8XtuU/yeEsTtt+i2WPxVFHv+qo22MA2Rl3/HS/gdL3p4IjmoGzZYO2JmUkMkGXlmSzbp+fJstKgCiuS7yazSaKzF8E49gK44gK4APvGtheSATtgltcZPaVE4ksNecirrWq4821EWfyqnMeUj5Mp6PIn1eELrisyIztim7YRZXDmsemkybbSoAtjzV220xkyEXlmHh7AODwEw1WmIOO+O+LOoBX5MCkemWb5/XqnmsOevovK52remaaxm+Cdtx/3YjmHQIL9eW+xz64Lv01pgJ1cOq06OsVh0BKoqFn81Rp91Di2yzqEFgJf1euSEtsNhfTv8lt0Eq64FQpI4z1qN8ork2Y7Kt/gzy/eyKGqggQSva4fQG4fQG0BRSBMc9eqGhTnRWJESLDoe1QCLVZ77v1MFsPgTQmMxwTdlD3piD3oC+KpWIK74d8J2ayv8mBrFURUVkWs7Kt/iT8ctJuTEkHkGd2WewV0APg8Kwxm/e7A0vzV+Sg7jymEnVSzTRosqgMWfLGgL0lCvYDUew2o8BsAY2hRnvDpibUFzLEyui9xi+f4ppqqRazsq3584rXyjqZ1L7mW0yF2EFliEd3wDkBjYHatM7TH7Sn02Yk7EKtNGiyqACz5kyS0jFq0zYtEawFtu7sgM6oADurZYmtUIf6YFiI5HDiTXdlS+f6m13H5ECbSF6Yi4tBwvYDkmengiOagrNlo74tukRlw5rHByPWOlCijKE52AbkNTXAj/pO3oh+3oB8ASUAcXa3XGVks0fkyJwIUCN9ERqQrk2o7KuPjjsK/S2FYO/4kn8CdGaV0h+XORiJIVuw8H0Fp0DKoKDfehUxpdfjIi8pcjAssxGhpI/uwJVDKLdwsA3UXHKEPGxZ98o9HtaaxmaArSRMegKtBbjaIjUFUZuPeckmkgsR1VOK1ZnvNu5XtayAUfRGLxd1D59N6iExCpm0zbUfkWf5zzRyQWe9+Vjz1/RGLJtB2VcfEnz2qZSDX4O6h8Bvb8EQnF4q+CZPqGEamGjr+Diqdnzx+RUDKtZeRb/PEPD5FYLByUjz1/RGLJ9HdQvsWfTKtlItXwDhGdgKqKBTyRWD6hohOUS77Fn0yrZSLVkGmjRRXABR9EYsn0JFq+xZ83//AQCeVTV3QCqiqeRBOJJdOTaPkWfz7yrJaJVEOmjRZVAId9icSSaTsq4+KPvQ5Ewui9ATcf0SmoqtjzRyQWh30rSKZvGJEqsOfdOXgEAjq96BRE6sWevwryrsOLkhOJItMGiypIqwX86otOQaROHgGAi0F0inLJt7rSubL3j0gUTrtwHv6RohMQqZOMT6LlW/wBbLSIROGJl/NgO0okhox3LWHxR0RlyfiMlSqI7SiRGDKeOy3v4i8gSnQCInXisK/zCGDxRySEjNtReRd//iz+iIRgb5HzCGwiOgGROgU2Ep3gpuRd/LHnj6jmufnKutGiCvKrZ/ueElHNqttBdIKbknfx5x8FuLiJTkGkLnXbAxqN6BTkSMEtRCcgUhevOrYTL5mSd/HnogdC24lOQaQuYR1FJyBHq91cdAIidQmTb68fIPfiDwDq3y06AZG6sPhzPrXZ80dUo+q2F53gluRf/IV3EZ2ASEU0sm+0qBJqtxSdgEhdZH4SLf/ir95dvMwbUU0JiAI8/EWnIEcLaQO4eopOQaQOGi0Q2lZ0iluSf1Xl5sMhC6KaIvOzVaokFz1Qn6MoRDUiqBlg8BKd4pbkX/wBHPolqikyn6RMVRDVW3QCInVQQDuqjOKPiz6IagZ7/pxXVC/RCYjUgcWfg7Dnj6j6uXpwYYAzC24m6wvNEzkNBZxEK6P4867Ny00RVbeQNoBWJzoFVafInqITEDk3g48iLqmojOIPAMI59EtUrTgs6Pw474+oejXqC2jlX1rJP2EJFn9E1avFcNEJqLpF9gTAS/cRVZvm94tOcEeUU/w16sf9/oiqS3ALILCR6BRU3byCgDqc10lULVw9bT1/CqCcasq7NtCgu+gURM6JvX7qEcnhfaJq0bgf4OouOsUdUU7xBwCtHhadgMg5sfhTD877I6oeChnyBZRW/DW7D3BxE52CyLnUjgYCG4pOQTWlfhfA4Cs6BZFzcfWwTU9TCGUVf24+QOP+olMQOZcWw0QnoJrkYgCiHxSdgsi5NOoL6D1Ep7hjyir+ACB6hOgERM6lxQOiE1BNa/ek6AREzkVBQ76AEou/Rv0ANw5ZEDlEnWggIEp0CqppoW1t33siqjoXd8WNSiqv+HMxAM05TEXkEFzooV5t2ftH5BCN+gJ6T9EpKkR5xR/AoV8iR1HYUAU5UKsRXEBH5AgK7JBSZvFXvxsvUE5UVaFtOeSrZu61gGZDRacgUjY3X6DJQNEpKkyZxZ9Wy9VqRFXV8WnRCUg0Lvwgqpq2TyhuyBdQavEHAK0fE52ASLk8g4Hoh0SnINEadAdqRYhOQaRMGh1w1zOiU1SKcou/2s2BxgNEpyBSpg5jbIunSN00GqDtKNEpiJSpyUCgVn3RKSpFucUfAHR/XXQCIuXRGYCOY0WnILlo87itB4OIKqbzc6ITVJqyi796HYGIe0SnIFKWlg8CXsGiU5Bc+IQocsI6kVC1o4EG3USnqDRlF38Ae/+IKkQDdJkoOgTJTY+3AGhEpyBSjm4vi05QJcov/iJ7AGF3iU5BpAxNBgK1W4hOQXIT0gpofp/oFETK4B+p+A3ylV/8AcA97P0juiP8XaGb6fVvQOMcfxKIqlXXlwCtsufJOsdveuP+vE4l0e1E9gLqthedguQqqAkQ/bDoFETy5h3iFFvNOUfxBwDdXxOdgEje2OtHt9PzX4DWVXQKIvm6eyLgohedosqcp/hrNgwIbCw6BZE8hXdR9Mo0qiH+EUDbx0WnIJInnzDbHqlOwHmKP60W6PaK6BRE8qPRAgOmik5BSnHPm7a9IInIXr8pgN5DdAqHcJ7iD7DNVwloKDoFkby0fwoIbSM6BSmFb12n6d0gcpgG3YGWD4hO4TDOVfzpXICBH4tOQSQfHgHAve+ITkFK0/01wFV5F6snqhZaF2DgJ6JTOJRzFX8A0LAP0HSI6BRE8nDve4B7LdEpSGm8goBOyrxgPZHDdRwH1G4uOoVDOV/xB9jmN7m4i05BJFbd9kC7J0WnIKXq+jLgycsAksp5BAI93xadwuGcs/jzCwe6vyo6BZE4Gi0w6DNAw0t2USW5+3EaDVGf92y/C07GOYs/wLYDt3+k6BREYrR7EqjbTnQKUrqWDwCNB4hOQSRGaDug7ROiU1QL5y3+XAzA0K/Bi5WT6rjXss31I3KEwZ8Dem/RKYhqmMapR0+ct/gDgIjuqp/z9P4WIzSTc+w+ms7IK3M/SZIwcGE+NJNzsDzWfMvHTMmzImZ5IUI/z4XHf3Mw4Kd8xKVb7O7z6noj/D/OQb1puVh4zP7xlpw0Y+jPBVV/cVS+e98FPPxFpyBn4RvGFeOonrb0/S1GNJ2RB8+PclDr4xz0+TEfey8Xl95eVCzhid8L4TM1B42n52HjhWK7r/90ZxFeWFPomBdI9to8DoQ57+UwXUQHqHb9pgBxfwK5SaKTCNMiSIuNT/6zMaVLOSX/l3tM0NxBL6kkSbj/l0K4aoEVIz3gYwC+2G1CnwUFODXBC556DVaeMWPRcTP+fMITcelWjPmjEP0b6hDooUW2UcK/NxXZ5SEHCmkDtIsRnYKcTcengRPLgEt7RCcRypFtKQA0DtBhxiAXRNbSotAsYdoeE/r9VIBzL3ghyFOL2QfNOHjVgt1jPbH2XDEe+60QKa97QaPRID7TijmHzDjwDLfkcTiPAKDP+6JTVCvn7vkDADdfYPAXolMI5aIF6nhpSz8CPey/7UeSLfh8twk/DHO77WPFZVix57IFMwe7oWNdHZoE6jBziBsKzcDPJ2xnuafTrOjZQIcOoTo8Gu0KH4MG8ZkSAODNDUY818EV4b7O/6NX41zcgfu/tV3thsiRtFpg+EzV7/3nyLYUAB6LdkWfSFvx1yJYhy/6uyGnCDiWYgUAnE6z4L4mLmgRrMPzHfW4ViAhrcDWlj63uhAf9zHAx+Ccw5LiaIDh39m2O3Ji6vgr0XQQ0PJB0SmEicuwIvTzXER+lYvHlxXgYra19LYCs4THfivEN4PcUMfr9j8ORX+POri5/NPgaDUaGFyAHRdtQ7+ta+tw4KoFmYUSDl61oNAsoaG/FjsuFuNQsgUvdlL+RbFladAnQO0WolOQs/KPtI2kqJgj29IbmSwSZh80wdcAtK5j+/rWtXXYcdHWhq4/X4wQLw0CPTRYeMwMNxcNhjdzddhro791eQFo1Fd0imrn/MO+JYZ8CSQdBdLPiU5SozrV1WHeMHc0CdQiKVfC5K1F6D43Hyee84K3QYNX1hnRpZ4Ow5reWSPSNFCLcF8N3v7LiO+GuMNTD0zbbcLlHAlJebaGsH9DF4xq5YqOc/Lg7qrB/Ptt93tutRHzhrlj5gEzpu8zIdBDg9lD3NAiWFedb4E6tBqp+vmtVAM6jgXOrAHObRSdpMY5ui0tseqsGSOXFqLADIR4a7DhCc/SHsUxbV1xLMWC5t/mIdBDg19HuCPTCLy7xYgtoz3xn01GLD5hRpS/Fj/c5466Puroz6k2YXepZrGcRpIkSXSIGpN6GphzL2DOF51EmCyjhPpf5uKLfm4I8tTgtT+LcHi8J7z0tp48zeQc/P6IO+6/RQN28KoFY/8oxNEUK3QaoE+kDlqNBhIkrH28/GGhyVuKkGWU8FRbV/RbUIDjz3li1dlizNhvwsFnvKrltapGYBPgmc2AXt1DclRDcpKAbzsDxizRSYRyRFsKAPkmCUl5EtIKrJhz0IxNCcXYO84TwZ7lF3JPrShEm9paRNTSYtJfRdg7zhOf7CzCiWtW/PYw51JXmpsf8OwOwK+e6CQ1Ql3FHwAcXwr8NlZ0CqE6zslDnwgXFBYDX+81QXvdlBGLBGg1QPdwHbbE3LqYyDZKMFkkBHlq0el/eegQosM3g8teWSU2zYKhPxfi8HhP/HDYhB0XLfh1hAfyTRK8puYi51/e8Oa8lcpx9QCe3gQENxOdhNQkdjWw+HEA6vrzcSNHtaXXazQ9D2PauOLt7oYyt22OL8ZbG43YPdYTb2wogosW+KSvG06mWnDPvAKkv8kteSpt5CKg6WDRKWqMeoZ9S0Q/BFw5COz5VnQSIfJMEs5nWPFEKw0ebuGKce3sz0qjZ+ZjWn8Dhja+/dCFr5sGgAZx6RYcuGrFlF5lJzlLkoTxq4z4op8BXnoNLFbA/Pc0mZJ/Ler++1E1g79g4Uc1r+lgoNe/gc0fik4ijCPb0utZJQlF5TSKxmIJz68xYuED7tBpbW1pSdeN2QpYrGxIK63Tc6oq/AC1LPi4Ud8pQHgX0SlqxOt/GrE1oRgJWVbsulSM4b8UQKfV4NGWrqjjpUXLYJ3dBwCE+9qGFEo0nZGH30//s1/VkpNmbEkoxoVMK1bEmtF3QQHub+qCflFlzyX+d8iMIA8NhjaxNYBdw12wKb4Yey4XY9ruIjQP0sLPjb1+ldJ2FNDmUdEpSK16vAG0fEh0ihrj6LY03yRh0l9G7LlcjMQsKw5etWDMikJcyZEwonnZgnHK1iIMauSCtiG2x+4arsOyWDOOpVgwY58JXcPV15fjEKFtgb4fiE5R49T506JzAUbMA767B8hLFp2mWl3OseLR3wqRXighyEODbuE67BnriaCbzCcpz5l0K7KL/jmrTMqz4tU/TUjJkxDircGTrVzxTo+yQxQpeVb8d3sRdo39Z8jjrro6vHa3AYMXFSLY07YYhCohuIVt93kikYZ9A2RcAK4eEp2k2jm6LdVpgdg0K+YfLURagYQAdw061tVh+1OeZRbBnUi14NdTxTgy/p+29KHmLtiS4ILuc/PRJECLRQ9yvl+FGXyAh+YCLurbgUJ9c/6ud3EPMG8IYL31LuxEsqL3Ap7ZAgQ2Ep2EyLYAZE4vVW+kTwo1Yh7QYrjoFEKoc9i3RHhnoJ9656yQQg39ioUfyYdPCDByIeByZxsbE8lC99dVW/gBai/+AKDzs0D0w6JTEN2Zvh/YFi0RyUnd9rYhYCIl6DBG9derZvEH2HpS6nUSnYLo1rq/BnR9SXQKovJFP2T7GSWSsxbDgUGfi04hnLrn/F3PmAP8OEwVE5dJgTo+DQzmAg+SOUkCfhkFxK4SnYSorKjewKO/qHKBx43Y81fCzQd4YhlQp5XoJET2Wo0EBn0qOgXR7Wk0wPDvgNB2opMQ2QvrCDzyEwu/v7H4u557LeDJFUBwc9FJiGyaDrHNpdJwL0RSCIMX8ORy2x9bIjkIagY89isvgXkdFn838vAHnvwDCGwsOgmpXUQP4KEfbPtSEimJmy/wxO9A+N2ik5Da+YXbfhY9/EUnkRUWf+XxCrIVgP6RopOQWoV1BB79GXApu3k2kSIYvIFRvwENuotOQmrlGQQ8sdy2HRHZYfF3Mz4hwOiVtrMGoppUuyXw+BIOUZDy6T1tP8uRvUQnIbUx+AKjlgEBUaKTyBKLv1vxDbMVgD5hopOQWgQ2tg1RuNcSnYTIMVzdgcd+ARr1E52E1MIzGIhZCYRwAefNcKuXO5F+Hpg3mJcvoupVrxPw6GLOTSHnVGwClsQAZ1aLTkLOrFaE7QTaP0J0Ellj8Xensi4CPz8KpJwQnYScUdMhwIP/s/WSEDkrixn4bSxwaoXoJOSMQloDj/9mm7dPt8TiryKK8oBlz/DMlRyr4zhg4KeAlrMwSAWsFuD38cDxJaKTkDOJ6GG7xrTBW3QSRWDxV1GSBPz1AbDjC9FJSPE0tutL8pJYpDaSBGz7FNgyFZCsotOQ0rUZBQyZxg2cK4DFX2UdWwL8MREoNopOQkrk6gkMnwU0v090EiJx4jbahoGNWaKTkBJptMC97wHdXhadRHFY/FXF5YPA4seAvGTRSUhJfOvZ9vCrEy06CZF4GfHAL08AKcdFJyElcfUEHpgNNBsiOokisfirqpyrtgLw6mHRSUgJ6nW2XV+SE5KJ/mEuBFa+BBz7RXQSUgKfurYT6JDWopMoFos/RzAXAssnACeXiU5Cctb+KWDgJ5yXQnQze2cD6ycBVrPoJCRXzYcBQ77kllhVxOLPkbaWTGC2iE5CcuJVG7hvBtCYm9wS3dbFPcCvozmdhuwZfICBHwNtHhOdxCmw+HO0S/ts2xhkXBCdhOSgxXBg8Bc8SyWqiNxk24bQF3eLTkJyEH43MPw7oFZ90UmcBou/6mDKB/58BzjwvegkJIqbHzD4cyD6IdFJiJTJYgY2fwTs+hqwFotOQyJoXYFebwNdX+E+qA7G4q86nfsLWDERyL0qOgnVpIZ9bMO8PiGikxAp39Ujtm21krkaWFUCGwMPzAFC24hO4pRY/FW3wixgwzvAoQUA+FY7NVdPoN8UoONY0UmInIulGNg5zTav2lIkOg1Vt45P29pSXu6y2rD4qykJO4CVLwPpcaKTUHWo1xkYPhPwjxSdhMh5XTsD/PEicGmP6CRUHbxDgfu+Bhr1FZ3E6bH4q0nFRbZLGu34klsZOAv3WsA9bwKdnuWcFKKaIEnAkUXAxveA/Gui05Aj6L2Bbi8Bd09kb18NYfEnQupp24KQcxtEJ6HKcvWwFXzdXgbcfEWnIVKfwixg04fAgR+4vZZSaV2AdqOBnm9z4/saxuJPpIt7bI1XwnbRSehOaV2AtqNsjZV3HdFpiCjpKLD2X8DFXaKTUEU0GQT0mQwENRadRJVY/MnBha22IvDyPtFJ6FaaDbVdRDywkegkRHSj+G3A1k94Mi13oW2Bfh8CDbqJTqJqLP7k5OyfwOYPbWeyJB/1uwF9JwNhHUQnIaLbubjHNrf63EbRSeh6vuHAve/a9j7VaESnUT0Wf3IjScDplbbNTa+dFp1G3Wq3tPX08bJsRMpz5SCw7TPgzBrRSdTNJwzo/Cxw1zOAi0F0Gvobiz+5slqBE7/ZrhWccV50GvXQaIGo3kCHMUDjgVzBS6R0ycdtPYGn/gD3Wq1BDbrbCr6mgwGtTnQaugGLP7mzWoHzm4DDC2xnsBaT6ETOyTPItpCjfQxQq4HoNETkaKmxwPbPbSfVXB1cPfReQKtHbEVfcFPRaegWWPwpSX46cOwXWyGYekp0GufQoDvQ4Smg6VDARS86DRFVt9xk4PhS4NhiXjLOUQIaAR3HAW0eA9x8RKehO8DiT6kuH7QVgSd+A4pyRKdRFjc/WyPV/iluM0CkZqmngaOLgeNLgJwrotMoi0YLNB4A3PU0ENmLizgUhsWf0pkKgFMrbIVg4k7RaeRLowPqdQLaPQG0GM5d5InoH1YrkLgDOPoLcPoPnlDflMa260GzobZ21C9cdCCqJBZ/ziT9vK3hOr8ZuLQXKDaKTiSW3guI6mXbTLRRf8AzQHQiIpI7c6FtfvXRX4DzfwHWYtGJxNK6APW7AM3uA5oOAXxCRCciB2Dx56zMRuDibuDCZuDCFiDpGFSx0i2gERDZE2jUD4jswa0FiKjyCrNs+wYm7gASdtr2YFXDYhHvECDqXqDhvbYTaPdaohORg7H4U4uCDFsRWPKRlSg4kIN4BtuKvMietg/fMNGJiMhZFeXaRlUSdtqm2Vw5BFjNolNVnWcwENLKtgCuYR+gTkvRiaiasfhTq4wLtsvKJR2xTXpOjQWKskWnujmd3tarF9zs74/mtn/9I0QnIyK1MhXYLsuZuMtWEF49DJjzRae6OY0W8I8C6kT//dHK9q93bdHJqIax+KN/ZF8GUk7ZriySfh7IjAcyEoCcy4BkrZkMGi1QK8K+wAtuDgQ0BHQuNZOBiKgyJAnIuQqknQXSzwFpcUB6HJARbztuKaqZHBqtbVcD/wj7Qq92C0DvWTMZSNZY/NHtFZuArItAZgJQmAmY8gBzAWDK/+fDXGA7bvr7uDnf9n+tC+Dme+cfPnUBVzfRr5iIyLEkCchLtZ1k51y2/VuYCRQX2Tbvt/u3yNbu3vivzhXwCPjnwzPA/nOPAMAj0DZHj1cnoltg8UdERESkIjw1ICIiIlIRFn9EREREKsLij4iIiEhFWPypUExMDDQaTZmPc+fOiY5GRKQ4bFNJabh3hkoNGDAAc+fOtTsWFBQkKA0RkbKxTSUlYfGnUgaDAXXq1BEdg4jIKbBNJSXhsC8RERGRirD4U6lVq1bBy8ur9GPEiBGiIxERKRbbVFISDvuqVK9evTBz5szSzz09eckfIqLKYptKSsLiT6U8PT3RsGFD0TGIiJwC21RSEg77EhEREakIiz8iIiIiFWHxR0RERKQiGkmSJNEhiIiIiKhmsOePiIiISEVY/BERERGpCIs/IiIiIhVh8UdERESkIiz+iIiIiFSExR8RERGRirD4IyIiIlIRFn9EREREKsLij4iIiEhFWPwRERERqQiLPyIiIiIVYfFHREREpCIs/oiIiIhUhMUfERERkYqw+CMiIiJSERZ/RERERCrC4o+IiIhIRVj8EREREakIiz8iIiIiFWHxR0RERKQiLP6IiIiIVITFHxEREZGKsPgjIiIiUpH/BzV7/qv+IP6HAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gen_sin_fraude = data[data['is_fraud']==0].groupby('gender').size().sort_values()\n",
    "gen_con_fraude = data[data['is_fraud']==1].groupby('gender').size().sort_values()\n",
    "\n",
    "fig, ax = plt.subplots(1, 2, figsize=(8,6))\n",
    "ax[0].pie(gen_sin_fraude, labels=gen_sin_fraude.index, autopct='%1.1f%%')\n",
    "ax[0].set_title('Compras no fraudulentas')\n",
    "ax[1].pie(gen_con_fraude, labels=gen_con_fraude.index, autopct='%1.1f%%')\n",
    "ax[1].set_title('Compras fraudulentas')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "UwXR-Ug9c-M0"
   },
   "source": [
    "Observamos que, si bien han sido mujeres quienes han realizado más transacciones, la distribución entre las fraudulentas y no fraudulentas son aproximadamente iguales, por lo que en primera instancia se puede asumir que no hay correlación entre el género y si una transacción es fraudulenta."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "xEG46vT2hyNs"
   },
   "source": [
    "### 3. ¿Cuál es la distribución de las edades de los usuarios?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 410
    },
    "executionInfo": {
     "elapsed": 892,
     "status": "ok",
     "timestamp": 1719768455116,
     "user": {
      "displayName": "Franco Giordano",
      "userId": "11864357500095360887"
     },
     "user_tz": 180
    },
    "id": "sxsAOFSfh-DB",
    "outputId": "776decc8-2cd9-4f8a-e75d-cfb23cc4877b"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "edad_sin_fraude = data[data['is_fraud']==0].groupby('edad').size().sort_index()\n",
    "edad_con_fraude = data[data['is_fraud']==1].groupby('edad').size().sort_index()\n",
    "\n",
    "fig, ax = plt.subplots(1, 2, figsize=(12,4))\n",
    "ax[0].plot(edad_sin_fraude.index, edad_sin_fraude, color='green')\n",
    "ax[0].set_title('Compras no fraudulentas')\n",
    "ax[0].set_xlabel('Edad')\n",
    "ax[1].plot(edad_con_fraude.index, edad_con_fraude, color='pink')\n",
    "ax[1].set_title('Compras fraudulentas')\n",
    "ax[1].set_xlabel('Edad')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 455
    },
    "executionInfo": {
     "elapsed": 985,
     "status": "ok",
     "timestamp": 1719768456100,
     "user": {
      "displayName": "Franco Giordano",
      "userId": "11864357500095360887"
     },
     "user_tz": 180
    },
    "id": "rWt20525oDML",
    "outputId": "c93f4729-5ada-40c8-f89a-871d2f013b6a"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AGI3YAQAARiN2AACA0YgdAABgNGIHAAAYjdgBAABGI3YAAIDRiB0AAGA0YgcAABiN2AEAAEYjdgAAgNGIHQAAYDRiBwAAGI3YAQAARiN2AACA0UKtHgAA2jqv1yufz2f1GJB07NixgP/CWk6nUy6Xy+ox7B87f/jDH/Sb3/xG27Zt05kzZ9SjRw8VFRVpwIABkqSmpiY9/fTTWr16taqrqzV48GCtXLlSPXv2tHhyANcDr9er//fwL9Rwtt7qUXCBhQsXWj0CJIWFR+j11161PHhsHTvffPONBg8erLvuukvbtm1T586ddejQIXXs2NG/z+LFi7V8+XKtW7dOqampmjNnjjIzM/X73/9ekZGRFk4P4Hrg8/nUcLZef+r+EzVGOq0eB7CNkDqf9OUe+Xw+Yuf7PP/880pKSlJRUZF/XWpqqv/npqYmLVu2TE899ZRGjRolSXr11W8LcsuWLRo3blyrzwzg+tQY6VRj1A1WjwHgEmx9gfK///u/a8CAAXrggQfUpUsX3XHHHVq9erV/+5EjR+TxeJSRkeFf53Q6lZ6erpKSksset76+XjU1NQELAAAwk61j58svv/Rff7Njxw499thj+vWvf61169ZJkjwejyRddHrM5XL5t11Kfn6+nE6nf0lKSrp2vwQAALCUrWOnsbFRP/zhD/Xcc8/pjjvuUHZ2th599FEVFha26Lh5eXny+Xz+pbKyMkgTAwAAu7F17CQkJOjmm28OWNenTx9VVFRIkuLj4yV9+2mIC3m9Xv+2S4mIiFBMTEzAAgAAzGTr2Bk8eLAOHjwYsO7zzz9XSkqKpG8vVo6Pj1dxcbF/e01NjcrKyuR2u1t1VgAAYE+2/jTWjBkzNGjQID333HN68MEHtXfvXq1atUqrVq2SJDkcDk2fPl0LFixQz549/R89T0xM1OjRo60dHgAA2MJVx05ubu5VH3TJkiXNGuYv3Xnnndq8ebPy8vI0f/58paamatmyZRo/frx/n1mzZqm2tlbZ2dmqrq7WkCFDtH37dr5jBwAASPorYuejjz4KeLx//36dO3dOvXv3lvTt20vt2rVT//79gzrg/fffr/vvv/+y2x0Oh+bPn6/58+cH9c8FAABmuOrY+e1vf+v/ecmSJYqOjta6dev832b8zTffaNKkSfrxj38c/CkNwL1z7IN759iLXe6dA8Bczbpm58UXX9R//dd/Bdy2oWPHjlqwYIHuvvtuPf7440Eb0ATcO8eeuHeOPdjl3jkAzNWs2KmpqdHXX3990fqvv/5ap06davFQpuHeOcCl2eneOQDM1azYGTNmjCZNmqQXX3xRP/rRjyRJZWVleuKJJzR27NigDmgS7p0DAEDra1bsFBYWaubMmfrbv/1bNTQ0fHug0FBNnjxZL7zwQlAHBAAAaIlmxc4PfvADrVixQi+88IK++OILSdJNN92kqKiooA4HAADQUi36UsGoqCj17ds3WLMAAAAEXbNj58MPP9Sbb76piooKnT17NmDb22+/3eLBAAAAgqFZ98bauHGjBg0apM8++0ybN29WQ0ODPv30U+3atUtOJ582AgAA9tGs2Hnuuee0dOlSbd26VeHh4XrppZf0v//7v3rwwQeVnJwc7BkBAACarVmx88UXX+i+++6TJIWHh6u2tlYOh0MzZszw36QTAADADpoVOx07dvR/eeCNN96oTz75RJJUXV2tM2fOBG86AACAFmrWBcpDhw7Vzp07ddttt+mBBx7QtGnTtGvXLu3cuVMjRowI9owAAADN1qzYeeWVV1RXVydJevLJJxUWFqYPPvhAWVlZeuqpp4I6IAAAQEs0K3bi4uL8P4eEhGj27NlBGwgAACCYrjp2ampqrvqgMTExzRoGAAAg2K46dmJjY+VwOK5q3/Pnzzd7IAAAgGC66tj57W9/6//56NGjmj17tiZOnCi32y1JKikp0bp165Sfnx/8KQEAAJrpqmPnJz/5if/n+fPna8mSJXrooYf86372s5/ptttu06pVqzRhwoTgTgkAANBMzfqenZKSEg0YMOCi9QMGDNDevXtbPBQAAECwNCt2kpKStHr16ovW/9M//ZOSkpJaPBQAAECwNOuj50uXLlVWVpa2bdum9PR0SdLevXv1+eefc8dzAABgK806s3Pvvffq0KFD+tnPfqaTJ0/q5MmTGjlypA4dOqR777032DMCAAA0W7PO7EjSkSNHdPToUR0/flz/+q//qhtvvFGvvfaaUlNTNWTIkGDOCAAA0GzNOrPz1ltvKTMzUz/4wQ/00Ucfqb6+XpLk8/n03HPPBXVAAACAlmhW7CxYsECFhYVavXq1wsLC/OsHDx6s/fv3B204AACAlmpW7Bw8eFBDhw69aL3T6VR1dXVLZwIAAAiaZsVOfHy8Dh8+fNH6999/X927d2/xUAAAAMHSrNh59NFHNW3aNJWVlcnhcKiqqkrr16/XzJkz9dhjjwV7RgAAgGZr1qexZs+ercbGRo0YMUJnzpzR0KFDFRERoZkzZ2rq1KnBnhEAAKDZmnVmx+Fw6Mknn9TJkyf1ySefqLS0VF9//bWeffbZoA73zDPPyOFwBCxpaWn+7XV1dcrJyVGnTp3UoUMHZWVlyev1BnUGAADQtjX7e3YkKTw8XDfffHOwZrmkW265Re+++67/cWjon0eeMWOG/uM//kObNm2S0+nUlClTNHbsWP3ud7+7pjMBAIC2o0Wx0xpCQ0MVHx9/0Xqfz6c1a9Zow4YNGj58uCSpqKhIffr0UWlpqQYOHNjaowIAABtq1ttYrenQoUNKTExU9+7dNX78eFVUVEiSysvL1dDQoIyMDP++aWlpSk5OVklJiVXjAgAAm7H1mZ309HStXbtWvXv31vHjxzVv3jz9+Mc/1ieffCKPx6Pw8HDFxsYGPMflcsnj8Xzvcevr6/3f+ixJNTU112J8AABgA7aOnXvuucf/c9++fZWenq6UlBS9+eabat++fbOPm5+fr3nz5gVjRAAAYHO2fxvrQrGxserVq5cOHz6s+Ph4nT179qJvbPZ6vZe8xudCeXl58vl8/qWysvIaTg0AAKzUpmLn9OnT+uKLL5SQkKD+/fsrLCxMxcXF/u0HDx5URUWF3G739x4nIiJCMTExAQsAADCTrd/GmjlzpkaOHKmUlBRVVVXp6aefVrt27fTQQw/J6XRq8uTJys3NVVxcnGJiYjR16lS53W4+iQUAAPxsHTtfffWVHnroIf3xj39U586dNWTIEJWWlqpz586SpKVLlyokJERZWVmqr69XZmamVqxYYfHUAADATmwdOxs3bvze7ZGRkSooKFBBQUErTQQAANqaNnXNDgAAwF+L2AEAAEYjdgAAgNGIHQAAYDRiBwAAGM3Wn8YCgLYi5E/VVo8A2IqdXhPEDgAEQfsj71k9AoDLIHYAIAj+lDpUje1jrR4DsI2QP1Xb5h8BxA4ABEFj+1g1Rt1g9RgALoELlAEAgNGIHQAAYDRiBwAAGI3YAQAARiN2AACA0YgdAABgNGIHAAAYjdgBAABG40sFW5Gd7hMC2AGvCQCtgdhpRXb52mwAAK4nxE4r4t45QCA73TsHgLmInVbEvXMAAGh9XKAMAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAo7Wp2Fm0aJEcDoemT5/uX1dXV6ecnBx16tRJHTp0UFZWlrxer3VDAgAAW2kzsbNv3z794z/+o/r27RuwfsaMGdq6das2bdqkPXv2qKqqSmPHjrVoSgAAYDdtInZOnz6t8ePHa/Xq1erYsaN/vc/n05o1a7RkyRINHz5c/fv3V1FRkT744AOVlpZaODEAALCLNhE7OTk5uu+++5SRkRGwvry8XA0NDQHr09LSlJycrJKSksser76+XjU1NQELAAAwU6jVA1zJxo0btX//fu3bt++ibR6PR+Hh4YqNjQ1Y73K55PF4LnvM/Px8zZs3L9ijAgAAG7L1mZ3KykpNmzZN69evV2RkZNCOm5eXJ5/P518qKyuDdmwAAGAvto6d8vJynThxQj/84Q8VGhqq0NBQ7dmzR8uXL1doaKhcLpfOnj2r6urqgOd5vV7Fx8df9rgRERGKiYkJWAAAgJls/TbWiBEj9PHHHwesmzRpktLS0vSb3/xGSUlJCgsLU3FxsbKysiRJBw8eVEVFhdxutxUjAwAAm7F17ERHR+vWW28NWBcVFaVOnTr510+ePFm5ubmKi4tTTEyMpk6dKrfbrYEDB1oxMgAAsBlbx87VWLp0qUJCQpSVlaX6+nplZmZqxYoVVo8FAABsos3Fzu7duwMeR0ZGqqCgQAUFBdYMBAAAbM3WFygDAAC0FLEDAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwGrEDAACMRuwAAACjETsAAMBoxA4AADBaqNUDAIAJQup8Vo8A2IqdXhPEDgC0gNPpVFh4hPTlHqtHAWwnLDxCTqfT6jGIHQBoCZfLpddfe1U+n33+FXs9O3bsmBYuXKgnn3xSKSkpVo9z3XM6nXK5XFaPQewAQEu5XC5b/A8df5aSkqJevXpZPQZsgthpRXZ6/xKwA14TAFoDsdMKeE8fuDy7vKcPwFzETivgPX174T19e7HLe/oAzEXstBLe07cf3tMHgOsDXyoIAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxm69hZuXKl+vbtq5iYGMXExMjtdmvbtm3+7XV1dcrJyVGnTp3UoUMHZWVlyev1WjgxAACwG1vHTteuXbVo0SKVl5frww8/1PDhwzVq1Ch9+umnkqQZM2Zo69at2rRpk/bs2aOqqiqNHTvW4qkBAICd2Pp7dkaOHBnweOHChVq5cqVKS0vVtWtXrVmzRhs2bNDw4cMlSUVFRerTp49KS0s1cOBAK0YGAAA2Y+szOxc6f/68Nm7cqNraWrndbpWXl6uhoUEZGRn+fdLS0pScnKySkhILJwUAAHZi6zM7kvTxxx/L7Xarrq5OHTp00ObNm3XzzTfrwIEDCg8PV2xsbMD+LpdLHo/ne49ZX1+v+vp6/+OampprMToAALAB25/Z6d27tw4cOKCysjI99thjmjBhgn7/+9+36Jj5+flyOp3+JSkpKUjTAgAAu7F97ISHh6tHjx7q37+/8vPz1a9fP7300kuKj4/X2bNnVV1dHbC/1+tVfHz89x4zLy9PPp/Pv1RWVl7D3wAAAFjJ9rHzlxobG1VfX6/+/fsrLCxMxcXF/m0HDx5URUWF3G739x4jIiLC/3H27xYAAGAmW1+zk5eXp3vuuUfJyck6deqUNmzYoN27d2vHjh1yOp2aPHmycnNzFRcXp5iYGE2dOlVut5tPYgEAAD9bx86JEyf0i1/8QsePH5fT6VTfvn21Y8cO/fSnP5UkLV26VCEhIcrKylJ9fb0yMzO1YsUKi6cGAAB2YuvYWbNmzfduj4yMVEFBgQoKClppIgAA0Na0uWt2AAAA/hrEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwGrEDAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwGrEDAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwGrEDAACMZuvYyc/P15133qno6Gh16dJFo0eP1sGDBwP2qaurU05Ojjp16qQOHTooKytLXq/XookBAIDd2Dp29uzZo5ycHJWWlmrnzp1qaGjQ3XffrdraWv8+M2bM0NatW7Vp0ybt2bNHVVVVGjt2rIVTAwAAOwm1eoDvs3379oDHa9euVZcuXVReXq6hQ4fK5/NpzZo12rBhg4YPHy5JKioqUp8+fVRaWqqBAwdaMTYAALARW5/Z+Us+n0+SFBcXJ0kqLy9XQ0ODMjIy/PukpaUpOTlZJSUllz1OfX29ampqAhYAAGCmNhM7jY2Nmj59ugYPHqxbb71VkuTxeBQeHq7Y2NiAfV0ulzwez2WPlZ+fL6fT6V+SkpKu5egAAMBCbSZ2cnJy9Mknn2jjxo0tPlZeXp58Pp9/qaysDMKEAADAjmx9zc53pkyZonfeeUfvvfeeunbt6l8fHx+vs2fPqrq6OuDsjtfrVXx8/GWPFxERoYiIiGs5MgAAsAlbn9lpamrSlClTtHnzZu3atUupqakB2/v376+wsDAVFxf71x08eFAVFRVyu92tPS4AALAhW5/ZycnJ0YYNG/Rv//Zvio6O9l+H43Q61b59ezmdTk2ePFm5ubmKi4tTTEyMpk6dKrfbzSexAACAJJvHzsqVKyVJw4YNC1hfVFSkiRMnSpKWLl2qkJAQZWVlqb6+XpmZmVqxYkUrTwoAAOzK1rHT1NR0xX0iIyNVUFCggoKCVpgIAAC0NbaOHQBA66irq1NFRYXVY7TYsWPHAv7bliUnJysyMtLqMYxA7AAAVFFRoezsbKvHCJqFCxdaPUKLrVq1Sr169bJ6DCMQOwAAJScna9WqVVaPgQskJydbPYIxiB0AgCIjIzmLAGPZ+nt2AAAAWorYAQAARiN2AACA0YgdAABgNGIHAAAYjdgBAABGI3YAAIDRiB0AAGA0YgcAABiNb1DGVeNGgfbDjQIB4MqIHVw1bhRoP9woEACujNjBVeNGgfbDjQIB4MqIHVw1bhQIAGiLuEAZAAAYjdgBAABGI3YAAIDRiB0AAGA0YgcAABiN2AEAAEYjdgAAgNGIHQAAYDRiBwAAGI3YAQAARiN2AACA0YgdAABgNGIHAAAYjbueS2pqapIk1dTUWDwJAAC4Wt/9vf3d3+OXQ+xIOnXqlCQpKSnJ4kkAAMBf69SpU3I6nZfd7mi6Ug5dBxobG1VVVaXo6Gg5HA6rx8E1VlNTo6SkJFVWViomJsbqcQAEEa/v60tTU5NOnTqlxMREhYRc/soczuxICgkJUdeuXa0eA60sJiaG/xkChuL1ff34vjM63+ECZQAAYDRiBwAAGI3YwXUnIiJCTz/9tCIiIqweBUCQ8frGpXCBMgAAMBpndgAAgNGIHQAAYDRiBwAAGI3YAQAARiN2cF0pKChQt27dFBkZqfT0dO3du9fqkQAEwXvvvaeRI0cqMTFRDodDW7ZssXok2Aixg+vGv/zLvyg3N1dPP/209u/fr379+ikzM1MnTpywejQALVRbW6t+/fqpoKDA6lFgQ3z0HNeN9PR03XnnnXrllVckfXtPtKSkJE2dOlWzZ8+2eDoAweJwOLR582aNHj3a6lFgE5zZwXXh7NmzKi8vV0ZGhn9dSEiIMjIyVFJSYuFkAIBrjdjBdeH//u//dP78eblcroD1LpdLHo/HoqkAAK2B2AEAAEYjdnBduOGGG9SuXTt5vd6A9V6vV/Hx8RZNBQBoDcQOrgvh4eHq37+/iouL/esaGxtVXFwst9tt4WQAgGst1OoBgNaSm5urCRMmaMCAAfrRj36kZcuWqba2VpMmTbJ6NAAtdPr0aR0+fNj/+MiRIzpw4IDi4uKUnJxs4WSwAz56juvKK6+8ohdeeEEej0e33367li9frvT0dKvHAtBCu3fv1l133XXR+gkTJmjt2rWtPxBshdgBAABG45odAABgNGIHAAAYjdgBAABGI3YAAIDRiB0AAGA0YgcAABiN2AEAAEYjdgBYYtiwYZo+fXqLjtHU1KTs7GzFxcXJ4XDowIEDQZntrzFx4kSNHj261f9cAFeP20UAsMTbb7+tsLCwFh1j+/btWrt2rXbv3q3u3bvrhhtuCNJ0AExC7ACwRFxcXIuP8cUXXyghIUGDBg267D5nz55VeHh4i/8sAG0Xb2MBsMSFb2OtWLFCPXv2VGRkpFwul37+859f8fkTJ07U1KlTVVFRIYfDoW7duvmPO2XKFE2fPl033HCDMjMzJUlLlizRbbfdpqioKCUlJelXv/qVTp8+7T/eM888o9tvvz3gz1i2bJn/uJJ0/vx55ebmKjY2Vp06ddKsWbPEHXcA+yN2AFjqww8/1K9//WvNnz9fBw8e1Pbt2zV06NArPu+ll17S/Pnz1bVrVx0/flz79u3zb1u3bp3Cw8P1u9/9ToWFhZKkkJAQLV++XJ9++qnWrVunXbt2adasWX/VrC+++KLWrl2rf/7nf9b777+vkydPavPmzX/dLwyg1fE2FgBLVVRUKCoqSvfff7+io6OVkpKiO+6444rPczqdio6OVrt27RQfHx+wrWfPnlq8eHHAugsvhu7WrZsWLFigv//7v9eKFSuuetZly5YpLy9PY8eOlSQVFhZqx44dV/18ANbgzA4AS/30pz9VSkqKunfvrocffljr16/XmTNnWnTM/v37X7Tu3Xff1YgRI3TjjTcqOjpaDz/8sP74xz9e9Z/l8/l0/Phxpaen+9eFhoZqwIABLZoVwLVH7ACwVHR0tPbv36833nhDCQkJmjt3rvr166fq6upmHzMqKirg8dGjR3X//ferb9++euutt1ReXq6CggJJ317ALH37NtdfXn/T0NDQ7BkA2AexA8ByoaGhysjI0OLFi/U///M/Onr0qHbt2hW045eXl6uxsVEvvviiBg4cqF69eqmqqipgn86dO8vj8QQEz4Xf2+N0OpWQkKCysjL/unPnzqm8vDxocwK4NrhmB4Cl3nnnHX355ZcaOnSoOnbsqP/8z/9UY2OjevfuHbQ/o0ePHmpoaNDLL7+skSNHBly4/J1hw4bp66+/1uLFi/Xzn/9c27dv17Zt2xQTE+PfZ9q0aVq0aJF69uyptLQ0LVmypEVnoAC0Ds7sALBUbGys3n77bQ0fPlx9+vRRYWGh3njjDd1yyy1B+zP69eunJUuW6Pnnn9ett96q9evXKz8/P2CfPn36aMWKFSooKFC/fv20d+9ezZw5M2Cfxx9/XA8//LAmTJggt9ut6OhojRkzJmhzArg2HE18SQQAADAYZ3YAAIDRiB0AtlRRUaEOHTpcdqmoqLB6RABtBG9jAbClc+fO6ejRo5fd3q1bN4WG8hkLAFdG7AAAAKPxNhYAADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaP8facY9LYwcIzAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data=data, y='edad', x='is_fraud');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ExNX6OpEoi5l"
   },
   "source": [
    "Observando los dos gráficos, vemos que no existe una diferencia significativa entre las distribuciones de edades para las personas que cometen fraude como para las que no."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "_Uvup_tv1wcS"
   },
   "source": [
    "### 4. ¿En qué días se realizaron las transacciones?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 872
    },
    "executionInfo": {
     "elapsed": 1582,
     "status": "ok",
     "timestamp": 1719768457679,
     "user": {
      "displayName": "Franco Giordano",
      "userId": "11864357500095360887"
     },
     "user_tz": 180
    },
    "id": "0fGMyzer2U_L",
    "outputId": "fe58d7a5-73a6-46dc-f14e-95155ea0d41e"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cat_sin_fraude = data[data['is_fraud']==0].groupby('fecha_trans').size().sort_index()\n",
    "cat_con_fraude = data[data['is_fraud']==1].groupby('fecha_trans').size().sort_index()\n",
    "\n",
    "fig, ax = plt.subplots(2, 1, figsize=(10,10))\n",
    "ax[0].plot(cat_sin_fraude.index, cat_sin_fraude, color='green')\n",
    "ax[0].set_title('Compras no fraudulentas')\n",
    "ax[0].set_xlabel('Fecha')\n",
    "ax[1].plot(cat_con_fraude.index, cat_con_fraude, color='pink')\n",
    "ax[1].set_title('Compras fraudulentas')\n",
    "ax[1].set_xlabel('Fecha')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 333
    },
    "executionInfo": {
     "elapsed": 723,
     "status": "ok",
     "timestamp": 1719768458398,
     "user": {
      "displayName": "Franco Giordano",
      "userId": "11864357500095360887"
     },
     "user_tz": 180
    },
    "id": "XzcqagTmmxPI",
    "outputId": "3bc2b983-fe6f-4027-f8df-0dd1cf4bde84"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cat_sin_fraude = data[data['is_fraud']==0].groupby('fecha_trans').size().sort_index()\n",
    "cat_con_fraude = data[data['is_fraud']==1].groupby('fecha_trans').size().sort_index()\n",
    "\n",
    "fig, ax = plt.subplots(1, 1, figsize=(10,3))\n",
    "ax.plot(cat_sin_fraude.index, cat_sin_fraude, color='green')\n",
    "ax.axvline(datetime.strptime('2020-09-07', '%Y-%m-%d'), color = 'b', linestyle='--')\n",
    "ax.axvline(datetime.strptime('2020-09-14', '%Y-%m-%d'), color = 'b', linestyle='--')\n",
    "ax.axvline(datetime.strptime('2020-09-21', '%Y-%m-%d'), color = 'b', linestyle='--')\n",
    "ax.set_title('Compras no fraudulentas - ciclos')\n",
    "ax.set_xlabel('Fecha')\n",
    "ax.set_xlim(date(2020, 9, 1), date(2020, 9, 22))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 699
    },
    "executionInfo": {
     "elapsed": 7,
     "status": "ok",
     "timestamp": 1719768458398,
     "user": {
      "displayName": "Franco Giordano",
      "userId": "11864357500095360887"
     },
     "user_tz": 180
    },
    "id": "8qTi34xmJMy1",
    "outputId": "b90325c5-49fd-41bb-ce6c-5ba76ddaaed0"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dia_sin_fraude = data[data['is_fraud']==0].groupby('dia_semana').size()\n",
    "dia_con_fraude = data[data['is_fraud']==1].groupby('dia_semana').size()\n",
    "\n",
    "fig, ax = plt.subplots(2, 1, figsize=(6,8))\n",
    "ax[0].barh(y=dia_sin_fraude.index, width=dia_sin_fraude, color='green')\n",
    "ax[0].set_title('Compras no fraudulentas')\n",
    "ax[0].set_ylabel('Dia de semana')\n",
    "ax[1].barh(y=dia_con_fraude.index, width=dia_con_fraude, color='pink')\n",
    "ax[1].set_title('Compras fraudulentas')\n",
    "ax[1].set_ylabel('Dia de semana')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "OOenpz_r4pH8"
   },
   "source": [
    "Podemos destacar varios puntos de estos gráficos:\n",
    "* Por parte de las compras no fraudulentas, vemos que las compras presentan un componente cíclico, donde se presentan picos a intervalos constantes cada 7 días. Por otro lado, observamos que el promedio de estos ciclos fue variando entre trimestre.\n",
    "* Por parte de las compras fraudulentas, se observa que no se presenta este componente cíclico, ni tampoco se presentan valores constantes. No se visualiza ningún patrón como en las compras no fraudulentas."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "oHqJYRq3wqD4"
   },
   "source": [
    "### 5. ¿En qué horas se realizaron las transacciones?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 410
    },
    "executionInfo": {
     "elapsed": 1005,
     "status": "ok",
     "timestamp": 1719768459398,
     "user": {
      "displayName": "Franco Giordano",
      "userId": "11864357500095360887"
     },
     "user_tz": 180
    },
    "id": "_TzOyGyczbAX",
    "outputId": "da34a7fd-26aa-4f5d-d0c9-177603528376"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cat_sin_fraude = data[data['is_fraud']==0].groupby('hora_trans').size().sort_index()\n",
    "cat_con_fraude = data[data['is_fraud']==1].groupby('hora_trans').size().sort_index()\n",
    "\n",
    "fig, ax = plt.subplots(1, 2, figsize=(12,4))\n",
    "ax[0].bar(x=cat_sin_fraude.index, height=cat_sin_fraude, color='green')\n",
    "ax[0].set_title('Compras no fraudulentas')\n",
    "ax[0].set_xlabel('Hora')\n",
    "ax[1].bar(x=cat_con_fraude.index, height=cat_con_fraude, color='pink')\n",
    "ax[1].set_title('Compras fraudulentas')\n",
    "ax[1].set_xlabel('Hora')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "uM3bK4220ERd"
   },
   "source": [
    "Se observa claramente que las compras fraudulentas se realizan principalmente entre las 22 y 04 horas, mientras que las compras no fraudulentas no varían significativamente durante el tiempo."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3Q70-6w6pGZu"
   },
   "source": [
    "### 6. ¿Cuál es la distribución de los montos de las transacciones?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 872
    },
    "executionInfo": {
     "elapsed": 977,
     "status": "ok",
     "timestamp": 1719768460372,
     "user": {
      "displayName": "Franco Giordano",
      "userId": "11864357500095360887"
     },
     "user_tz": 180
    },
    "id": "M4R9qjJnALN7",
    "outputId": "a96d7eb9-b0d1-4518-c399-b6019940f0ea"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cat_sin_fraude = data[data['is_fraud']==0].groupby('amt').size().sort_index()\n",
    "cat_con_fraude = data[data['is_fraud']==1].groupby('amt').size().sort_index()\n",
    "\n",
    "fig, ax = plt.subplots(2, 1, figsize=(8,10))\n",
    "ax[0].plot(cat_sin_fraude.index, cat_sin_fraude, color='green')\n",
    "ax[0].set_title('Compras no fraudulentas')\n",
    "ax[0].set_xlim(-100, 1500)\n",
    "ax[0].set_xlabel('Monto')\n",
    "ax[1].plot(cat_con_fraude.index, cat_con_fraude, color='pink')\n",
    "ax[1].set_title('Compras fraudulentas')\n",
    "ax[1].set_xlim(-100, 1500)\n",
    "ax[1].set_xlabel('Monto')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "mRWERm1XEkSA"
   },
   "source": [
    "Podemos observar que las compras no fraudulentas representan una distribución exponencial decreciente, donde gran parte de los montos se encuentran entre los montos 0 y 200, y se va extendiendo a menor medida en montos mayores.\n",
    "\n",
    "Por otro lado, vemos que las compras fraudulentas representan una distribución uniforme entre los montos 0 y 1300."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "jYNm4gSmKoXD"
   },
   "source": [
    "### 7. ¿Cómo se distribuyen los usuarios geográficamente?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "UULFjPD3pyvG"
   },
   "source": [
    "Para el análisis geográfico de los usuarios, vamos a utilizar geopandas, una librería que nos permitirá graficar puntos en base a la longitud y latitud de cada usuario dentro de un mapa de Estados Unidos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 790
    },
    "executionInfo": {
     "elapsed": 38088,
     "status": "ok",
     "timestamp": 1719768498457,
     "user": {
      "displayName": "Franco Giordano",
      "userId": "11864357500095360887"
     },
     "user_tz": 180
    },
    "id": "_Niqfp4fSvXI",
    "outputId": "6939aa83-1b6a-4557-ecbd-72257c4057da"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-19-7a1eed34b30f>:5: FutureWarning: The geopandas.dataset module is deprecated and will be removed in GeoPandas 1.0. You can get the original 'naturalearth_lowres' data from https://www.naturalearthdata.com/downloads/110m-cultural-vectors/.\n",
      "  world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'));\n",
      "<ipython-input-19-7a1eed34b30f>:16: FutureWarning: The geopandas.dataset module is deprecated and will be removed in GeoPandas 1.0. You can get the original 'naturalearth_lowres' data from https://www.naturalearthdata.com/downloads/110m-cultural-vectors/.\n",
      "  world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n"
     ]
    },
    {
     "data": {
      "image/png": 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ECS7L4H333Yeqqiq89dZbSEpKQn5+vuv8VatW4bXXXsO1116LTp06obKyEm+99RYcDochYpYgCMLjeC2+HUEQhIk4cuQIc8899zDt27dnQkJCmKioKGbEiBHMsmXLmLq6OtdxjY2NzNNPP8106NCBCQ4OZjIyMpiFCxe2OoZhWsJuT548uU0+EAgfzYavfuGFF1zfzZgxg4mIiGCOHTvGTJgwgQkPD2eSk5OZRYsWMc3NzZLnsjidTubvf/87k5WVxdjtdqZ///7MV199xcyYMYPJyspyHffpp58yEyZMYJKSkpiQkBAmMzOTue+++5j8/HzJOpPKGwCzaNGiVt+tX7+eGTFiBBMWFsY4HA5m6tSpzIEDByTz4KYnFnZbKBx0aWkpc8cddzAJCQlMZGQkM3HiRObQoUNMVlZWqxDZDMMw27dvZ4YOHeq69pdeekkwRHZzczPz9NNPM6mpqUxYWBhz2WWXMfv27XMrTX7YbYZhmIaGBuYf//gH07NnT8ZutzOxsbHMwIEDmaeffpopLy+XrBOGYQTL89e//pVp164dY7VaW5Xhiy++YPr06cOEhoYy7du3Z/7xj38w77zzTqtjduzYwdx8881MZmYmY7fbmaSkJGbKlCnM77//3iZvgiAIX8TCMB5a9UoQBEEoZubMmfj0009bWXIIgiAIgtAfWkNEEARBEARBEETAQoKIIAiCIAiCIIiAhQQRQRAEQRAEQRABiypB9NRTT8FisbT669atm+v3uro6zJo1C/Hx8YiMjMS0adMEw9gSBEEQ0qxcuZLWDxEEQRCEB1BtIerZsyfy8/Ndfz/99JPrt4ceeghffvklPvnkE2zatAlnz57Fddddp2uBCYIgCIIgCIIg9EL1PkRBQUFISUlp8315eTnefvttrF69GmPGjAEArFixAt27d8evv/6KYcOGCaZXX1/famM3p9OJkpISxMfH67ZLN0EQBEEQBEEQvgfDMKisrERaWhqsVmNW+6gWREePHkVaWhpCQ0MxfPhwLF68GJmZmdi+fTsaGxsxbtw417HdunVDZmYmtmzZIiqIFi9ejKefflr7FRAEQRAEQRAE4decOnUK6enphqStShANHToUK1euRNeuXZGfn4+nn34aI0eOxL59+1BQUICQkBDExMS0Oic5ORkFBQWiaS5cuBDz5s1zfS4vL0dmZiZOnToFh8Oh7moUUtPQhJzCKuScq8KRwirkFFbi6LlKFFc36p7XQ+M7465LO7b5/sT5Kryx8Ri+3lcA2gmKIAiCIAgicAgPseKF6/tidJckQ/M5VlSFX4+dx/aTpdh+shT1TU50TXagW2oUuqVEoXuqA52SIhFsM2+ctYqKCmRkZCAqKsqwPFQJokmTJrn+3adPHwwdOhRZWVn4+OOPERYWpqkAdrsddru9zfcOh8MwQeQAkJIQh0t7tP7+fFU9jhRU4lBBJd768Tjyy+vczmvp5jNAcDjmjuvcygWwr8OB1zumIaewEkv/l4Ov9pwlYUQQBEEQBOHnpDhC8c7MweiRZsw4l0s7hKDwQCk2n6xBQ1MwAGDnuXrsPFcP4DwAIMRmRZeUSPRIdaBnWjR6pjnQPdWBCLtqRzJDMXIpjYVh3BuGDx48GOPGjcP48eMxduxYlJaWtrISZWVlYe7cuXjooYcUpVdRUYHo6GiUl5cbJoiUsOFQIe5YuU239O4b1RGPTeom2piHCyqx9H9H8PVecWsaQRAEQRAE4bv0THPg7RmDkRId6tF8C8rr8NrGHHywNQ+NzfJDf4sF6BAfgR5pDvRIc6BfegyGdoyHzer59f2e0AZu2ceqqqpw7NgxpKamYuDAgQgODsb//vc/1++HDx9GXl4ehg8f7nZBPc3l3ZIwuU+qbukt33wci77YD6dTuBN2TYnCa9MH4us/jcSEHsm65UsQBEEQBEF4n3Hdk/DxfcM9LoYAICU6FM9c3QsbH7kctwzNRJCMsGEY4Pj5any1Jx/Pf3sYt/zrN4x6fgNe3ZCDosp6yXN9EVUWoocffhhTp05FVlYWzp49i0WLFmHXrl04cOAAEhMT8cc//hFff/01Vq5cCYfDgdmzZwMAfvnlF8UFMouFCAAKK+tw0/Jfcfx8tW5p3jAoHYuv6yOrsPeeLseS9Ufwv0OFuuVNEARBEARBeJ47R3TAXyZ394qFRYhTJTV45YccfLrjNJpFJuvFCLZZMKFnCm4dmoVhHeMMjwrtCW2gShDddNNN2Lx5M4qLi5GYmIhLL70Uzz77LDp16gSgZWPW+fPn44MPPkB9fT0mTpyI1157TTBMtxhmEkRAS6i/rSdK8NG2U1i7Nx/1TU6307w0OwH3je6IEZ0SYJW5MXadKsOS9Uew8XCR2/kSBEEQBEEQnqFnmgNX9U3DlL5paBejba290eSer8b//XAUn+88A5W6CADQKTEC04dmYdrAdESHBetfQJhQEHkCswkiLuW1jfhi1xl8sPUUDuRXuJ1eh4QITB+aiesHZiA6XLoTbT9ZiiXrj+DHo+fdzpcgCMLs9GkXDQYtk1L2IBu255V6u0gEQRCydEyIwNS+abiqXxo6JUZ6uziKOVNWiy3HirH1RDG2nihBbnGNqvNDg624qm8apg/NQt+MGF3LRoLIZIKIhWEY7DtTgQ+35eGLXWdRWd/kVnpsJ7ptWHv0To+WPHbriRK8/P0RbDle7FaeBEEQZsVmAfhrftNiQnG2zP3InwRBEHqTGh3aIoL6pqFnmsNwFzIhGIbRNd9zFXXYeqLE9Xf4XKXicwdlxeLTP16iW1lIEJlUEHGpaWjC13sL8OzaAyitcX8fo77p0bh1WBam9k1DaLBN9Lgtx4rx8vdHsDW3xO08CYIgzESw1YJGnu/G0A5x+O0EPe8IgjAHcREhuLJ3Cq7q2w6DsmJll0Aooa6xGeW1jRf/ahpRxvlcwf2N95cWHYrHJnXDxJ4phgiy0uoGbMstwbbcFoG072yF5NqjHU+MR1xEiC55kyDyAUHEsvVECab/61dFoQyVEB0WjBsGpeP24e2RERcueAzDMPjlWDFe/O4wduSV6ZKvWZg9Pwc2jh5sbgaWvZjtvQIRkgRaewXa9XqaYJulzbM0OykSOYVVXioRQRAEEGS14KoL7nAjshPc3sy0pLoBa3acxie/n8aJ4mo06LBOfVBWLP4yuTv6Z8a6nZYUVfVN2HGyFFtPlKCqvgn2YCtCg2wIC7EhNMiKq/q1I0HkDr4qiADgP9tPY/4nu3VNM9lhx9d/Gon4yLab17IwDIPNR8/j55zzOFdRh/zyWl3L4GmGXrfNNdi0WODasLa5GfhtzWDvFYwQxJ/ai2FarkEKr1wvAwA6zvh5I8iRmjeNpWWSiU9SlB2FfhjulSAI8xMWbMPrtw7AZV2T3EqHYRhsOV6MD7aewrp9BWhodl8ECTGlTyoWTOyGzHjhSXVfwhPawFxb0Po40wam4/j5Kry64ZhuaZ6rqMdDH+/GypmDRc2xFosFo7skYnSXROQV12D0PzfAXDJXHZdwBpvs/xkGsNmArSdoYbXZCLT2CrTrVYuR1rOs+HASRARBeJzosGC8M3MwBmZpt7qcr6rHp9tP48OteaoDFmjhqz35WLe/ADOGt8eDY7IRE66PtcZfIUGkM/PHd0WQ1Ypv9xWoWoAmxeYjRXhj8zE8cJn8oCIzPhyXdUnEBh8P082fpefOxBPmI9DaK9CuVylcMcQVirPn5+giis6U1qJrciQOn1PnOkcujgRBaCXFEYp37xqCLslRqs91Ohn8fOw8Ptiah+8PnNNtWYVSGpsZ/OunE/hk+2nMHpON24ZnwR4kvj49kCFBpDNWqwUPje+Ch8Z3QUF5HTYfLcKPR8/jp6NFbgVdePG7IxjcPg6D28fJHnvb8CyXIPLVgQDfdYkGm+Ym0Nor0K5XKTYJ65kenC2vA8pbgs8UVzfgdKm8e7DRIo0gCP+lY0IE3r1rCNJj1bmdFVbU4ZPtp/HhtjycKvH+Moby2kb8be1B7DldjqU39fNKFDyzQ4LIQFKiQ3HDoAzcMCgDzU4G+86UY/ORImw+WoQdeWWqdgZudjKYvXonvp4zUnaR2uguSciIC8M1d+z1yYFAc3NLOdlBJ3eNBmE+Aq29Au161eIJ69nu0+WwWoCuyVEIC7Eh2GaBxWIBwzBoaHairsGJyvpGFFbUGS7SCILwT3q3i8bKOwZLruHm0uxksPloET7cmof1BwtVjfGMxmoBHrw8G7PHdiYxJAIJIg9hs1rQNyMGfTNiMHtsZ1TWNeKXY8UugaRkBqGgog7zP96Ft2eIrydi85o+NAt1tr0AfG8gsOzFbNesLnewaWYRF8gEWnspvV5ftc66i6esZ04Gsm7JVs6zjwu5OBIEIcUlneLx5u2DEGmXHyYXlNfh499P4aNtp3CmzPvWID7tYsKw5KZ+ijyMAhkSRF4iKjQYE3umYGLPFDAMg5PFNdh8tAibjxThl2PFqGm4ON0cHmLD8I7xGNUlEaO6JMpGwQKAGwZl4N163x0IBMLAkcUfBs6+Vl53kbveQHXTMpv1jJ2gFRNpXZOjEBUWBJvFgvLaRhwuqFQVDI8gCP9jUq8ULLmpn+Ram6ZmJzYdKcIHW/Pww6FCmMgY1Iqr+6Xhr9f0giM02NtFMT0kiEzA+7/lITnKjil90nD78PZoaHJi+8lS7D5dhj7p0RiYFat6EVxcRAhQT2sdzE6gDpz9nUB10zKjtVBMpAHApBk7XccsezEbMeHByE6MRH1TMw7mV0CHLUEIgvAhbh6Sib9d0ws2ES+cM2W1+GjbKXy87RQKKuo8XDrlRNmD8NdreuGa/u28XRSfgQSRl9lwuBBPfL7P9blTYgQGt4/DoPZxmNQrBZlx4Zr9PS2u/3C+8xELUaAQqAPnQMAXrbN6WCvNJuSFRBqL0CTE7ydbQqdHhNjQJyUKTgY4lF+BOoXqKDXajoRIO+qbnDhxvtrQqFJdkyMRHRYCWICzpbU4bUJ3HYLwFWaPyca88V0Ex1zltY1YuGYPvtlXYPrn+KCsWLx8Yz9kxPn+/kOehASRl3npuyOtPh8rqsaxomp8uO0UgJaNCFsEUiwGt49Dt5QoBCndGdkSmBYiX3NB88WBMyGPr917/myt5JZ/7oIcAPKTENUNzdiRVwYAsAdZ0Tc9GkE2C44UVKK2sRlpMWGIi7DDHmRFY7MTpTUNOFtWh/zyeuSXt+yVZLNa0CkxAnERIWAYoKiqDieLtYuWICvQLcWB0GAbjp+vahN+vGtyFCJDg7D/TLliAUcQBLBoag/cMaKD4G/Hiqpwz6rfcfx8tYdLpQ6b1YI5Yzvjgcs6KR8nEi5IEHmZ6UMz8diavaK/F1bWY+3efKzdmw+gZdZyQFYsBmXFYXCHWPTLiEF4iHQzmsWf3xP44qDO1wbOhDxmW0ujhECyVqqdhKhvcmL36XIAuOBKY0FeSS3yZILhNDsZ1yQXS1iIDXfPPqx40iYs2IpuKQ7AAhwpqMS+sxWi+bFBJsJDbBiUFYvy2kYcLVS3ZxNBBBJBVgv+eX1fUdeyDYcL8afVO1FZ3+ThkqkjLToUr0wfgAGZ2jeODXRIEHmZGwZl4D87TmNbrrId7qsbmvHj0fP48eh5AC03872jOmLBFd3aHDsndg6WFi0FYyJ/fqPxtUGdLw6cCXnMuJZGCYFirXRnEsLdULpcMcSftNm6ZsjFMgGobWjGoYIK7DxVpiqPmoZml+tfZlw4UqJDcbigAuW15h7UEYQnCQ224vVbB+LyrkltfmMYBm9uPo7nvj3kE8/A5OhQEkNuQoLIy1itFiy+rjcmLf1Rk695k7Plpp02MB2dEiPb/D6ucSYmv/iTHkX1GXxpUOerA2dCHl9sQ6VCwdfcUrl4exJCatLmtxMluueXV1KDvJIaBNss6JcRg6Zmp6SViSACAUdoEFbcMRgDs9qGoq5rbMbCNXvx2c4zXiiZNnadKkNxVb3iPZOItpAgMgHZSVH44+hO+L8fcjSd3+RksPjrg/jXjMFtfuuSHIUQmxUNzYHjT+5rLmi+MpAk/BulQsEX3VK5mGESwhuTNo3NDHZdsDSlOEKRFR+OnMIqFFc3GJsxQZiMZIcd7945FF1Totr8dq6iDve+tx27VVplvQ3DAJuOFOG6AeneLorPQoLIJDxweTb+u/ssThbXaDp//cFC/JxzHiOyE1p9H2yzoltqFPZc8H/XY2bXzLPD3p79JQgtmOGeUioU3HFLNcN1At5/Xnl70qagog4FFXWwWoA+6dEAA+w9U057MBF+T5fkSLw9Y7BgBLadeaW4773tKKys90LJ3OeHQ4UkiNyAwlCYhNBgG24dmuVWGn/96oCgf3vPtGgAbWd2gYszu0rRIw0jWfZitkv8kAsa4QuY6Z5a9mI2ljx/8U/svhGycMhhpuv0JvznkzcnbZwMsOd0OfacKUdClB1DO8QhKYpcbgj/5IqeKVjzwAhBMbRmx2nc+OavPiuGgBYLUWMAeQPpDVmITMTV/dKw+JuDmnc8PlRQiU+3n8KNgzNbfd+rnQOAPgEHfCFoAYkfwpfwhXuKj5iFgw1pDbSdiPDF6zQCM7jsCVFUWY+iynpYLC3vDJvFgj2nyWpE+D4WCzB/fBfMujy7zR5DzU4G//j2EN7cfNxLpdOPyrombD9ZimEd471dFJ+EBJGJSHKEYlSXRGw8XKQ5jX9+dwST+6Qh0n6xaXtdsBAB+viumzFogVlccQhCC2a8p8QQc0tlkVpX5EvXaSRmfjYxDLDvTEvQhcQoOzomROBoYRVKaK0R4YNEhQZh6U39MKZbcpvfymsb8acPdmLTkYtjLnuQBU4n0OhmNElvseFQIQkijZDLnMmY5qb/Z1FlPd7YeKzVd+0TIlz/5g8+tAxG9EhDT8gVh/B1xO6puQtyXH9m6c9CbqksXOsP0Nb6Y7ZnByFNUWU9fjtRgvLaRvTLiEGPVIe3i0QQislOisR/Z40QFEPHiqpw7as/txJDYcFWdEiIRFZChCLX0djwYIQFm2sY/cOhQm8XwWchC5HJGN8jGVGhQais075fxFs/HsfNQzPRLiYMjc1OPPzJbgD6BBwwY9ACcsUhfBl3LC7egl+GuQtyZK0/Rj87yEpsHM3OixHqMmLDkBIdioP5Faiqp2g1hDmZ0CMZL97QF1GhwW1+23i4ELM/2NlqnBUebEVGXAQOFbRsbhwTHoxuKVGuzwDgCAtCx/hIBAdZUFhRj5MlNUiKsqNTkt1lVfU2RwurcKqkRnCdFCGNuaQtgdBgG6b0SXUrjfomJ1749hCcTgYLPt2D7w+cA6BPwAGzBi3QssibIMyAOxYXMyFn5QLaBhTQ69lBVmLPcaq0FttyS9HkZDAoKxadEiPkTyIIDzJvfBe8cevANmKIYRi8tfk47ly5rZUYigixIT0uHIfPXRQ/ZTWNOHKuEkM7xGFI+zi0jw9HRW0Tdp0uw7bcUpwsaYkIXFhZj31nKjAwKxZRoeawMZCVSBvmaD2iFdcNSMcHW0+5lcbnu86iqr4J6w+2vjH0GHx4W/wI4e0wtgThDlosLmaCb/0BLpaXa+FqbgaWPK//84OsxJ6nrtGJ30+WAgA6J0XCERaMvafL0KBhg3GC0IMoexBevrEfxvVo6yJX19iMP6/ZizW8zVYjQmxIiwnDkXNVbc5xMso3S95+shSx4cHonxGNnafKtV2ATvxwqBAzLmnv1TL4IiSITMigrFhkxYdr3pOIhS+GAP90KzGjGx9BuIsvifxlL2aLijj2/0YLFF8SkP7G0cKWwaQjNAj9Mhw4U1aDM2V1Xi4VEUh0TIzAW7cPQqfEyFbfMwyDk8U1mPPRrjabrUaG2JASE+bqv+5SWtOImoZK+QMNZsvxYlTXNyHCLjzEZxgG7/96Etf0byfoUuhtSqsbEBsR4vF8yWXOhFgsFlzXX//NtfzVrcSsbnwEoRUz7VWjBikBYrQbKwVs8D4VdU3YmluCM2V16JnmQO92FISBMJ5x3ZPx+awR6BAfgdzz1fhqz1n849tDuO3t3zDob+tx2T83thFDUXYbkqNDkaOTGDITDU1OfL7rjOBvtQ3N+NOHu/DEf/dj0X/3e7hk8ny7rwDLfvDOmJQsRCZlTLckvLz+iK5p+qtbiT9avYjAxqx71UghZKn1lIWLrMTmY//ZCgRZLYgOC0J5rfYgQQQhRafECKTHhuHuVb/j4NkKVNbL97Wo0CAkRtlxrKjaAyX0Dit/zsUtQzJb7bt0pqwW9777O/afbQkAsWbnGYzqkohr+rfzVjFbsS23BH/6cCfGd2/r8ugJSBCZlKwEYyKE+JtbCd/qZbZoXAShFV/uv1zLlicEipkFZCBP2DQ5GXRNjsLW3FJvF4XwU44VVasSNlGhQUiMtOO4H4shoMWN9aec8xjZOREAkFNYhZve3ILzVa33E3v8830YkBmLzHjvRqXLKazE3at+R0OTE0WV9V4pAwkik+IIDUZMeDDKahp1TdeX1iUowV+tXgThSwhNTLB4SqCYUWTQhA1QVNWAyBAbqhrIXEd4n85JkdiRV+btYniElT/nugRRemwYkqJC2wiiqvom/OnDnfjk/uEItnlnFc25ijrMeGcbymtbxruFld5Zf0iCyMRkxYWjrEa/aCX+6lbib1YvgvA1xCYmAGOiyvkKnp6wUWONEjrWCEvWifPVCAu2YXD7WJwqqUFBhXdmfwkiKjQIe894NwKcJ/nhcCFyz1ejfUIEQoNteHX6AEz5vx9RzZuc2HWqDM98eQAzLslCh4RI2Kye27ekoq4RM97ZijNlta7vCr1kIaKgCiZG7421/DX4gL8vpp49P8e1l8vcBTk+HwSD8E9oLzBhPFUvaoLmiB2r5Fwt1DY2uzZ2ZWkXE4b+mTEItlFHITxD9xQHGgMoLDzDACt/yXV97pAQgcXT+gge+96vJzHupc3ouehbXP3KT3jsP3vw7pZcbMstQWWduKcSwzCoa2xGRV0jiirrca5CuXWnvqkZ9727vdXmtwBQ09CMagVrwfSGLEQmJssAn06ziB+9/Or91erFQi433sGT6z78ZY2Jv7nj6oWn6kWNNUrsWCMtWY3NDM5V1iMhMgTRYcHILa7BmbJadEmOFNwDhiD0xluuWN7k0+2nMX9CF1d47av6pqGspgEfbD2Fg/kVbY6va3Ri9+ly7D7d2pLWLiYMwTYLGpqcqG9yXvx/s9N1THRYMF6bPgDJjlDZcjmdDB75ZA+2HC8W/L2wsh4dRMKGGwVZiExMps4WIrOgZ/hvf7V6sQgNXLjfE/rjyfD0/hIK31fDhBuNp+tFjTVK7lgjLFkMA5yvasCxomo0O1sqIzbc8/uNEIFHdlIkct3c21EJZrOMV9U34dPtp1t9d/vw9vhmzkj8MH80Hp7QBd1SomTTOVNWi9ziGpwtr0NxdQMq65taiaGOiRH4fNYIjMhOUFSuxd8cxBe7z4r+7g3XRrIQmZjMuAhvF8EQ9Par9xfxIwatkfIsnlz34S9BQcwc5c2beLpe1FijhI4VOnfugovi3Iiyb80twdAOcfjtRImu6RIEl5gw821A6ile+u4I8kpqcOPgDHRLubg3WMfESDw4pjMeHNMZx4qq8PWefKzdm9/GhU2OkZ0T8MotAxCtsI7/9eNxvPXjCclj/vTBTny3vwCPXtFN9+UjYpAgMjHeDoNoJDTIVw65InkeT/ZPf7kXAl38iOGpelHjPix2LP8zi5HuugwD/HaiBL3bRSM85OJMwP4z5RSZjtCFsGAr9gu4hwUKlfVNWPFzLlb8nIs+6dG4YVAGpvZNayVgOiVGYvbYzpg9tjNyCqvw9d58rN2Tj8PnpMXRzEva4/HJ3RGkMELdl7vP4m9rDyo69qs9+fjuwDncMaI9bhuYpOgcdyBBZGJSHKEIsVlbmSX9BW/NRnoKb62R8pf1KN7GkyKUBK9/4O17T401SuxY7mcWPa2XUnXEd5HJiAtDWIMTRVUUlY5wj55p0fj9JO2FBQB7Tpdjz+ly/PWrA7iydyquH5SOYR3iYeVElstOisSfxnbGn8Z2Rk5hJdbuKcDavWdx5FwVHKFB6JbiQNeUKFzSKR6TeqcqznvLsWLM/3i3qvI2NDmxfNNxfPjTYVXnacHCMOZ6/VZUVCA6Ohrl5eVwOBzyJ/g5Y/65EcfPK99ATMlL2dsvbqk9S/jf+eKAXuz6tF6L0vbSO99AxZP1KHUvGN1u3n4OeBKjr9Uf7725C3IE10MwjLZQ6mrrKDU6FGU1Daht9L8JQcKzZCdFIqfQM4E7QoOtqPOxPpsZF47rB6bjD4PSkRodJnpcWU0DosOCYdGwUOpQQQWuf2MLKuu0RY9z1tfg1JIbDNUGZCEyOZnx4YoFkZKIZGaIWiY0O8ni62spAO+tkfKX9SjexpPrPoTy8sR9aYbngFb44oaL3ASQUdfqr/eentZLtXUUFxGC/PLAiwpG6AutT5Mnr6QGL35/BC+vP4KRnRNx4+AMjO2eBHtQ65szhhcAhWEYlNc24nxVPc5XNaC4qgHnq+pRXFWPoqoGFFfVo7i65bv88jo0NJlbKJIgMjFLS5ei39VAvwuf5QZlSl44Znlx869DaDbSV9dSAN5bF+JPdehNPO3qxLqKeuq+NMtzQC1iVgYpoeOpa9V675nVUmfElgZq6iivpAZDOsThWGEViqsbtGdKBCw90xzYmktiSClOBth0pAibjhQhNjwY1/Rvh55p0Siuqr8gdBpQdOH/xdUt/29yGj/AGNk5AX+8JBUjlhibDwkik7K0dCkAwHLhP0pnNZW8cMw6aPantRTeuhZ/qsNAw9P3pVmfA1KIhaFn/y0mdDxxrVruPTNb6oywlKqpo8q6Jmw9UYJgmwUDs2JxvrIeJ0uMD5tM+AdJUXacLq31+DOtrtHpF1ap0ppGrPg516tl6JsRg0cndsUl2QmoqDA+KAYJIrOjYFaT+1JV8sIx46DZnzZY9da1+FMdBiKevi/F8jOrxYJFbm8dbzzztN57ZrfU6dnuWuuosZnB9gsL4numOWABsO9s4EYMI+QJtlrgCAv22LohPr+dKMGgrFjsyCuFBwwofkd2UiQentAVE3sma1qvpBXamNWHEOoX/BlGuc31zLqBoj9tsOqta/FUvrPn52Dugot/vraJqBnx9H0plZ/ZN4qV21uHjyfq1p17zxMbonobvYJO7D9bgX1nK9A+PhwDs2IRRCMYgoc9yIK+GTFeE0Msv58sRY9UB8KDqZMqpV1MGF74Qx+smzsKV/RK8agYAshC5FMIvez5gxc5zLyBohnKoBdGRiMDpMPpGomZXXx8GU/fl1JhlwHzWizErAxSFgdP1a3W9OSsV2a32ClB736VW1yD3OIaxEeEoFNSJA6eLUdlPZnCA5keqVEICwnCwfwK04TYZsV7dX0zhY+XIC4iBA9eno3pwzLbBHLwJG4Joueeew4LFy7EnDlzsGTJEgDAZZddhk2bNrU67r777sMbb7zhTlYBixL3AikxJCSitL5M/eHF7IuYSYSYfcDsy3i6LYXyM3twE7EIlVJCx8zPLTk3MjPd++5iRL8qrm5A8YkS9M+Iwc5TZe4lRvgMkSE2pMaEwREWDJsFOFFcgwP50huIeovc4hokRIagQ0IETqjYQoXFZrUgxGZFkO3i/4OsVgTbLAiyWRFsu/BvK/vZgmCbtdUxFbWN2Hy0yDTPcZYoexDuHtkRd43sgEi79+0zmkuwbds2LF++HH369Gnz2z333INnnnnG9Tk8PFxrNgHLnNg5rsAKcrOaQjOMeq8h8acXs69hNhFi5gEz4T5mXGPIRex5wz6j2Ih97HNP6LllxAbQWoSXnPXKbPe+OxjZr/Io2ELA0C0lEocKqnDUyy5xajhf1YDqhmb0SnO0Wv9mD7IiNToUqdFhSI0ORUp06IX/X/wcFx7SatNUNZwtq8VbPx7H9wcKTPEct1kt6JsejUuzE3Bp50T0y4hBiIn8XjUJoqqqKkyfPh1vvfUW/va3v7X5PTw8HCkpKW4XLtCZEzsHE17ehCPnxG98sRlG7mc9hIs/vZh9ETOJELMPmAnt+GpgDrEJGxb+c4t/3NwFOW4JI3cmjOR+V3rve8ISJpQHANl8je5XxdUNSI0OpX2LvIinLLHhId63JGihtqEZB/Ir8MjErri8axJSo0MRE65tk1M5jhdV4Y1Nx/DZzjNobPbuC7pjQgRGZCfg0s4JGN4pHo7QYK+WRwpNPWvWrFmYPHkyxo0bJyiI/v3vf+P9999HSkoKpk6diieeeELUSlRfX4/6+ou+lZ4IrecrMAwjO/Ml5kJihHAx06A80HBXhOj1svLVATOhDDOvMZRCbMKG+x0LP1Q34P7EkRETRmwgCyX3vics+EpEp1i+nuhXaTEkiPQkNjy4xY3JAlgtABgLp3+3/IM1XFx5+25RS2xzM/D9v/spyFFeGNisFuw9U676WpRitKhzMsBXe/Lxx9GdNFt9pNh/thyvbTyGr/fme21sFhcRgks6xWNk5wSMyE5AeqzveIipFkQffvghduzYgW3btgn+fssttyArKwtpaWnYs2cPHn30URw+fBhr1qwRPH7x4sV4+umn1RYjICiqrEddo/zOvtyXDWCccCHLgHdwV4ToOVjy1QEzH6kXn5nXnHgCX71Wsece/7kldq67AkbP567QPSt173vCgq9EdErla3S/svpjeD4v0LudAxZYsPdsOUprGhWdI7Y/GNsXxk/fZfrniqeWBRzMr8BXe/NxVd803dL8PbcEr27IwYbDRbqlqZSQICuGtI/DpZ0TcGl2AnqkOgwRe55AlSA6deoU5syZg++//x6hoaGCx9x7772uf/fu3RupqakYO3Ysjh07hk6dOrU5fuHChZg3b57rc0VFBTIyMtQUy29R4xctFW1OD+Hiy5YBXx/guitC9B4s+VLdCSH14gOE15zQWjnzIzVho0YUGZE/FyXPIynxIXbvGzERxi+rkhDhcvka9Tw+V0HWIa3EhAejS3IUhl631dU2Y6CubaT6gqeeoe70LU8uC3jpu8O4slcKgmza188wDIPNR8/j1Q052OrhTWB7pjlwaecEjMxOxKD2sQgN9o+1E6oE0fbt21FYWIgBAwa4vmtubsbmzZvxyiuvoL6+HjZe7xk6dCgAICcnR1AQ2e122O12LWX3e04Wq1soKiWG3BUuvmoZ8JdgEO6WldwdL6LkxUdr5XwLuQkbsVDdXNy5H5ROGKl5Honds2LPAjFBpnV9lFBZxfJQ6jlg5PM4r6QW0WFBKK9tciudQGNAZgyOFla1EkNa2kZs0sFT7109+pbW96RSIWaxAOO6J+PeUR1h02hFcToZrNtfgFc35mDfGc8sMWkXE3YhEEICLukUj/hI/xyzqxJEY8eOxd69e1t9d8cdd6Bbt2549NFH24ghANi1axcAIDU1VXspAxQlFiLujSj2stJLuPiSgGChYBAtkLtja6RefCQefQ+xCRug9b3Ob0e9LN5KJ4zUPI/U3LNy+zNpGYyKlZWfB7escvVo9PM4Kz4Ce04bt8bEn4gOC0KHhEjsyCsD4F7b8PsfH6Pfu0JLBrTkqeU9qUSI2YOsmDYwHXdd2gGdEiOVF4hDY7MTn+88g9c3HcPxIvXhu9XSPzMG1/Rrh5GdE9AhIcKQ4A9mQ5UgioqKQq9evVp9FxERgfj4ePTq1QvHjh3D6tWrceWVVyI+Ph579uzBQw89hFGjRgmG5yakOSUjiKRm8HzJimM0gT7A9WV3R6NQ414VSH3Fl5Haf4h/z6txRdOavxhKnkdq71khQaaH6JBal8UtjxrPASOfx2F+4rpjNH3So3G6tAa7eHs3aW0bqf7HT0tvK5Ga9dNSlhyt70kpIRYbHozbh7fHbcOzkKDRqlLX2IyPtp3Cm5uP40xZraY0lBIeYsM1/dvhliGZ6NUu2tC8zIiu8QtDQkKwfv16LFmyBNXV1cjIyMC0adPw+OOP65lNwHBSRhBJzeAB7r/gfX3tDUugD3B91d3RKNS4V3HxNTdLX0TPZ47Y81GtK5reKHke8e9ZJZYe9jtPbK675Hnxupo9P0dynycjn8elNQ36JeaHRIbY0DXVge0nSwV/F2sbJfclPyiNmLVIb9c5peun5Sw5cu9JqToQXFvHAL88NhZhIdpF+msbc/DOTydwvsrYft0tJQrTh2Xhmn5piDJxWGyjcVsQbdy40fXvjIwMbNq0yd0kiQsocZkTe/FJvbCU4C9rb8g60oIvtZnRyL34uIM5IHDdLD2NEc8cseejtyZI1DyP3HEB0usa1aYj14ZGP4+PF1Uj2Gbx+t4rZqRnWhSKKhtExZBU26i5L4XEPAu/D+s1AaJk/bSS+0lu02f+eWKh8VsOhFtiCACWrj+K+ib5SMNaCAmyYnLvVNw6LBMDMmMDwiVODt/c4SoAqG1oRlFlvexxRr3c/WXtDVlHCCH02gyT0A+pZw4rUtXeu2LPR29NkKh9Hmnph3qJDi3pyL03jH4eNzkZdEuJxKEC8c3MAw2lokOsbbSMBfhbgXDhus6JiQy1IknsPmf7Kvv8ELufpCyagHQduOqIARRspaSK8BCb7oIoKz4c04dm4g8DMxAXEaJr2r4OCSKTcqpU3jpk9GybvwwKSfwQagl0N0tvIWXRUWsxkpvx9tYEiR6CTi59PUSH1nTk3htG17UjjAZ5LGqtrkLfaXXBXPZiNuYuyBHtw3JCS668fOEk5QLNTU/sfpLLT8wtbm78n/BK+f+1uf45sXOEqkUV4SFBiveCkiMs2IaHJ3bFzEvaa45w5++QIDIpeQpCbsvNqLr7oqdBIRGIkJul9xB65mi1UvuCdVjPRd5GrPnUcr633xt1DXSjBlst6J8Vq5unh9Y2lZuUkHNpFSuvWMAU/n3OtwyJeYUpqR8xtzib1aKL+BEi3E2XO5aRnRPw92t7IyMuXJf0/BUSRCZjaenSln+kAHMXaIvYA7jvf0+DQiJQ8YWBtD8i9MxROzMtJArcXU9pFO4u8laTlqcww3sjt9j4kMRmpktyJKobmrH1RAkugfQ9pEREu9OmUn1YzHqk5J4XE3pA2/tdammM0G/ctGLCg3FFzxRYmnO8MloOt7uXaXRYMJ6Y0gPTBrSjNUIKsDCMueb9KyoqEB0djfLycjgcDm8Xx6O4xNAF5F6CYn6x/POl0pDCX6LMEQShHrE1AIBxzwKhPIVmpoVEjtissVmfW0LPb6nr81Ra7mKG90ZGbBhOlRobotiMZMSGoaS6AdUXrGRS/UIoWAL7vZx7mtI2lbonAeH8xcrL7cdCbnzssUIBcuTGSEL5DSmZjsEd4hBsswJoOz4D9HGLk+LmN3/FluPFms6d3CcVT03ticQo/9hE1RPagCxEJkbOvK1kMzRA+2yhGQcRWjDDC5ogfAmxgYzR1gduekJhpwHvbfppBO7O3itNy5OYYeIt2REacIIoym5DM8O4xBCgPHIc+3+x+0Xv0PdsMAIxpO55ychuUBbVkH9v8N30AOCS7IRW6RotfoSIsKt/eCU77PjbNb0xvkeyASXyb0gQmRypl5qSzdC4aZh5YGAUZnElIQhfQmggw6LmeSI32JX6XYvrolwUKW9OhghZv8TWZmh5bnl77Y4WjHo++8Cl64oFQGZ8BPafrWj1vZzLmidEtFgeUm5vgPg9zz9PKm0uQmlbmiE4CvaG+BEiLETdEP2WoZl4bFI3OAJ4LyF3IEFkcpREcgHkN0Pz1Qhx7uKLs8YEYQbkfO/lnidyg10lg2G1g2IxUeDtyRAxixtbRndm77nneGvtjlYrj1HP54LyOvcS8DEGt4/D1twSwd+k2sETIloushsX7tpBfln495AY7LlC95wFACzmETxyRCgMqtAhIQKLr+uNYR3jDS6Rf0OCyIwwAHRYvOhrs4VGYRZXEsK/8TfXTLHJFfY3OeQGu3oPhqXcY/RI3x3Uzoarnb33ZiAQd608Rjyfz5TVIizYitpGYza1VEtMeDC6JEWhvLYRZ8tqwQBgGKbl/2j5DwMGDAPXb2oQE0N8pKyURohoJaHvxYIq8PuSVPhs/vUA0lZuX2He+C64pn87FFXWo7CyHoWVdSiquPjv4qoG3DA4A3PGdkZoMM3yugsJIhMxJ3YOlpYudT0gAXUvNTFrkTci/ZgJX3QlIXwLf3PNVOp7L+eKJjfY1XMwrMSF2JuTIWJlEQt6oPa55YkgF2o3rVSCEc/n3u2isfdMufsJucmAzBg0NjM4kF/RRrR4egJFzkppRBmkhLrQOEWte53Ys0ksrLevkeQIRZIj1NvFCBhIEJmMrmduxP3vb3crDQobfBFvu5IQgYG/uWYKPUOAtoNVOfEnN9jVezDMzV9qU0ijkBrkqimLGZ5bakS+VuFp1HXWNZrjAR9ss2JHXlvrjTcmUOSslOwxeuxhyEVozSB3IoX7jNHiXsc/ViqsN0FIQYLIZLz/60ld0glE8SMEiUPCU5jJGqEHYveI0GaHQuJPbrBr9KDf06JCapCrtixmeG6pEflahacR19kzzdEmuIC3+O1ECfpnxuDS638XrDcldatn+HupZxT7m1HiTOz+EAr/rdS9DmhtYeULLoJQAwkiE3GsqAo/5Zz3djH8jkATP0a7YrgTOcyfCSTXTCXiT8zKxJ2F5s8QK90DRUn/ksrfiJl4KQGx5Hn1A3815RMbNLt77ylpZ3eFp97t0NhsjnVDLFwxJCRAWLi/ie3HxXcPU9uXxZ5R3O+Msm7LCWwhy5WUex37O4vSdUa+ElCB8Dy0MauJeObLA3jn5xPeLoZPEaiDbzGM3pxSLn1f2xxTLwLpurVsAqq1fqTWPShNxxNtw+YhNACTWiekV74sYjPsWq5TTTvr/RzWml6PVAcO5JvDOsQiVY9C34lZTISQu++4SO0tJpU2WyZ37xWpzVSV3DdCfQJoK9xIBPkntDFrgMDugOwYAcwd4Z+DKCPwt4XsemD0WhZPRw7zFYxycTKj4NdiEdDaL6QWU0ulIzbDriZvpUi5NBk53SgWhliv61TTzp5wrVKytsXJmMs6xCJmDRJzD+OeI7UGRo1brtJ9CwH3LVFiiFmoxL7ntrmU5VhOOBKEEkgQeRlWDIHR/+Hj7wTq4FsOo9eyyKVv1rU0RosLve9Xswp+reJPa78QOk8qHSUDJSV5K+0vQqIEMH7Nkli+XNy597y1jklMEMj1/wGZMdiRV2Zo2bQi5aom1E88MbBXIobY/3NFKYuQVwD3ez5KQ3ArEWNCkwEkigh3IUFkFmhQrwmzDr69idFrWeTSN+NaGrOKCynMLPi11JnWfiF0nlQ6SgZKasSQkv4iNggzWkAYPfjz1r0hdF1SA/Pv/t0fe0+Xe7CEytFjfywptzI1SIlopZNa/PtB6X2iNAQ3N3+hupHaoJXEEOEOJIhMCA3qlWPGwbc38XbkLjOECxbCzOJCCn8R/Fr7hdh5cumI1ZtRLn5izyH+3nDc6/KE2PDFvgKICwCxgfmE6TtNNbERbLOgV1o0GpqdeOWlbDw4T/n+WGKWRv7vWp+tUmKI78on9Dv3OL2eq2zbKdmQWNIyysA1ucxC64cIpVi9XQCiLb76EvM07IuA/8Lw9uDbmyx7MbtNvei9p4RU+kbn7w6+OJsoZH3zRdT0i9nzczB3QcsfG5aXf55YOrPn57T6jUXoGaHFxU8IueeQ0Iw2O4vuLkLX6evPQ359chEamAPmmdjolBiBwe1jERpsw85TZdh/tgIM09LXljyf7QoSINY/pfoYt17cebbK5c0XXFIiTup7PkrvAyXPPLln95zYOa4/glAKWYjMwoWZDV99iXkDM+zVYUaMvn659M1a/75mTTSrtU0rYuJHLKQ2d7ZZyX0ttnZI67NBaX+Rew4ZZZ0U6x/cspr1eShlMRNzoVJiNfIGMeHB6JIchXMVdThWVI1jRdWSx8u1m5Sl0V3k3PdYuJYi7mehsol9zw+CoeQ+UPrME+oLDNNiHCIRRGiFBJGXmRM7pyWwghsv7kCG6olQgi+KCzMLfj1cwMTWH7Cfhb6XylfsXC3l07KRqhRGuD7K7c9ihn4ihNb1WWJWAW+IIasF6N0uGgCw/2wFtp4okT1HKBoht73Y34x8RontzSUl/oXW4om52Am5M3LbVc19wHeTE9q7zBes/ITvQILIBLAzGg9/shufbj/t5dIQZsKMYZd9ETOLCynMWD69AlQojRLFfq8kX7Fz1daj3v3FKOukL66NU1JmJRH0AM9PbGTEheGaO/a2KusojdZLoO1eOnzLjFrLKPccse/FwlcLWayUrHUSW3ck1K5S94GUhZdvLRYrG0xu9SfMDQkiE3H78CwSRIQLX4yMZmaozvRBz0G4VPADFnbQpCRfd4WHERMQRlsnlQhINj+z3ANKLAVKZv+1Cl7JNAGkxYQiPsKO0GAbnAyDqvomFFbWtRJDUs9ksb2ppPqukGVTi9DSI/ob9zyp4Ar8sgtdL9sX5e4DsXDrYnXmay7QhPmhoAomok96DPqmR3u7GIRJEHtBmHn2lwgMlA6I5BBbQM3/v+SsMFofI3auHEYFPzA60IhYHRoVyEEPxMos952WY6TIiAvDwKxYDOkQh77p0ciIDYPNasGZsjrsOVOOrbkl+P1kKQ4VVKKkulHRM1luw1yhz1rvJ7nyKH13cPuo0Hn879XWO5uv3H0gd93s71L3+qmSGnWFI4gLkIXIZIy5cTsuN+msHuF5jFh7QBDuosfsrJKNGtnPy17MxtwFOZL5uuvmZqT7mVHPcKE6lHJrUnItRluWlFjMuGtqxHDH0tYzLQoWWLDvbAVOldSqOlfumSzWj6T6rjv3kxIrq1A5+Sh1U5RaNyR1POvuxkbaE0JuXRDXciZ2r+/tug8rZg6GhZfQifPVyIgNQ5CN7ACEMCSITMTS0qUtLcLzmSUXqcCF3AIIs6GXC5haAaMkXyG3JXYTT62hts18zwkFVgCEB5VKrsUTbrpK2l1MAAOtr0GNWLMA6J8Zg7KaRuw/W6m5/EqeyWL9SEz8u9PvxMqj5d2h1DIldD18US50PN+dD7jYhlLinl8fUvf0xsNF+HpvASb3SW31fWFFHRZ8uhv/d3N/pEaHKbtQIqAgQWRCjJihJHwPqfCs/JCmBOEpxNYccCNBKe2XavqvGgGldWDvixMQrHiQG8wquRZPBWlQ0u5C0cS0WP7sQRb0TY/BqdJa7Mgr01hi4TLxRTl3HywpaxD3GuQsn1rLo2XSQumaITELpJgY4x4jdV/y72/+/4XSErqnn/5yP0Z2ScCK2tcufhkLDJsGXLm0Ci/d0A+Xd0uSrgwi4CBBZHK0zlCaeUEtoQy5xa6esh76e1/y9+szAu5GqHKLugH96tRI9zcjgx94oo9JDWbVXItZrGRizz+ldRcTHoyuyVE4VFCJrbmlhpVJKvQ7IC/i3Ol3UuVR6z6qZF8rKRc59jexsNj8dxj3HLbepMrHWoWU3NOFlfV4q/I1BPFGuDYbcOsfD+LrjckkiIg2kCAyOUpeREo3NyTXO9+DbS81LwM98fdId/5+fUYjJzy8UafsLL3agb07a5CkBI8n+piSwSygzIpnZitZczOw6tVuGNrBgUMFFSivbWpzTGp0KNJjw7HndBl+U7A/kBqUCFuxfqdkY2ItFjCx46TOlwvVLSeuhKyRYut75NYZ8furVB2ruaeFRBn7/eiuicInEQENCSITomamSMvmhoRv4o2ZW1/qS1pm4X3p+tSgdIDO/00Lcou6ldap3pu98lFyr2ipBznB44k+JrdJqxJBxo1AZ4SVTC1i9Tpj1iEsezEbocFWDGkfh0an8+JJDLDrdBnyy+s8Vh5+PSoVlFJ7Exk5caBFoHO/l3LxY/uJUhHFPZftf2JlY49VI9bFnk2XZidIn0gEJBRuw0SwG7QCyh+OYuE1hR4EhG/Df/h7aubWF/qSOyGTfeH61CBVF0rqafb8HMxdcPFPrg6F+qXaOtUr5LVcpCwjBvZiz2Cu4PFEH5Mrh1T5hOrfUwN0MeTKXdfoxNbcEuzMK7v4d6rMsOeiVHnYfsoPB82F35eVtIsRuJOv0P0o1k+WvZjtiignJYa4+UuVTUtY/TbtwAAWADHhIeInEQELWYhMxpzYOViy/giWrD+q+By5GVrAXG4PhHqM3txRCl/oS+7MwvvC9alBSV2I/aZ29lisX6qtUz2tKHLuPEYgZ731VB9T8i4QKp9Y/QPeXU8nV24lVkU1lkcpVzKp8nDXwLDuzWLHqLk+o9Car9SEg9RzQmp9Gz9/KZdDIZe+I9+OwOguTtQ2NqO2oRm1jc2wXPgtyAaAQYsKAuf/BCEACSITEhasbhQg9rAxg9sDoQ/u7rGiFW8KMbVoecmb6fr0dGWTqgup39QKE7F+KVaneq0PkELOnUcOIbc7ubaQEjxq+piUy5+S/iD3LhAqH4s79e9uucWQKrcS8a5G4CsNEMJHqJ6U1qW3JmPE8lUSol7M2ilWt2L9X6yOxMoWGmzFts+GYEj7OAxqH4f+mTGICg0GbhO7ytEtW5nw4HriEAQXEkQmJDxEuSBSu7kh4bt4o/28JcS0oGVwYZbr03vhvVRdyNWTmoGxWLmFnj+AvusDhJB6HqoNjiA30BPLk5+e0j4mtqZEaX9wNwSz1vpXWm41Yl/JeiYl4l3qGDa4BPc4qfSk3L6EvpOrS29NxkgF4BDqa0KBH4TqQqhul72YLRotUMkzimEuGHWagT2LJiIkSN0qDxI/hBpIEJmQUBUWIrMM6AjfQ+kgxUx9Sc2mfuzvcpjh+vR0GZMbGAPS9aRmYCxVbv6O9FKREr212avc9fDLKZannJuUkvzF1k8oKYPY+fwBvR7vCDGLiZJyKxF3QgJLrNxKxLucRUPsOH56QkKAb7Fyd18twPiIjFLbObD/FxKycnXBTYPfxlwr8KCsWAybtq0lXQYtiocVPiJtNSeRhA1hPCSITIjNqs7R1QwDOsIz6OVW5YvhpuXK7OsTA3q5jEm5sXHTFaonLcJESbnl1mDo2X7utrncwFjpeVraT8wK4W4ZlAhtpe0oZg2SK7dSsa9mPZMS8a5k8C5n/VFjVeGmzT+Gi1Bdqn0Wa40myY8aJ1ZeqbaQgm8tAgBLM3BjyH1IiQ4FcElrdzaR+icLD+FJSBCZkF2nyrxdBMKE6Cli9LRIeAq5MvuS+BFCD5cxFn5diFln+MdqESZy5VYaCtss7SdlCZC61/RoPyWDczXnC6UnNqhVUn6xe1Cu3FJlEOofSsqsRLxLuTOK5cUtN5uGGquK0DXLiSGptMSQeh8A6qxyUuUVawupOnWdx1qAACAI+KhxOXBhayiGfyxBeBkSRCaCnTGJGwnMHel7M9yEsegtYvSySHgSM5RZ73182DSMXk+gtO7UXIuScoutwZC6RiPqWAlCA2glM/d6tJ/U4nMl6bkT8U9N+eUGyELlFisD19VQyfHcuhcTKVzU7IfDzwu4eP1C5RSrB3fuCX5aUih5Hyh5Vyhde8YvnxyCbWjlnM+07TutzpXPgiB0hfYhMglc8zH7YODO9hAEoO3FJAb/hWt2MQR4v8x67ZfDh10HBbjvMiaGEXUnVG6gbZ2I9VMlwQWE0tML/p5LbJmAtgM1bln46NF+QmnwB6hS6YmVgftZTOioKb9Qv+GKR/5xYmXgnsuvY/5xUnUvdAy3r7D74UjtESRUP+waOG5fVOI6xg9AwKbHr0upZ7fSe1PqfaD0XSHV9lJ1JoWUiBL7vysPVgyRIiI8DFmITIovuDARnkcvtyozhZtWihnKbKSroZEWECPrjh+JSsh9R+pcPp5y55SKkLfk+WzJtRVK09Ky0F4q+ISS88XKJid0lJRTzmrAMG2DaQiVgXsOHzkLDBc1fUUoYppQ2tz6kbLkSH2nRMQKWkVE7k0hi6lYGlLpc1FiheVb2NRYhtRYllp9f+HftH6I8DQkiEwM+1DhhrAkAhc9B7W+GITALGU2g9ueWqQiWinZe0QOuYGpWiFvZB3zB4JSg2ml5VYyMFfjBqjn9et5f0gNkKXKJ7SmTWxwrMRtTio6nFRdsYJTqux8IStXTilRx72/APmomGL3plC6SqJJiqFGwMu59wldOzddNV4MJIIIb0KCyMRwH3RmjADmLT//QEWJz7za9HwNM5RZLyudpxHbrBLQ5xnjzpoKPkbVsdC1C5WZLZ/YzLhQPUkNzNVakPS6fiOe0UKiSEmbqt3PhnuM0GBfav2JFGojxgmVk+/SKHcdQm2uJBIkPw1+WmL7DcpZN6UEvNAErBpRw8+TIHwFEkRmgkFLUBbeQ9aM7nO+GLbZ39BS7yRi3cMMbnvuIiQI9HjGiA1M1Vr2jKxjudlu7uBYyf5C/HOlrA7cfKXS0ev6jXxGq21TNfvZCAlS7mc2DW5aaupKbcQ4OXc5OVHEP45NV0kkSKn8Gca96I9i7mxC/UStpUcLZB0ivA0JIpMwJ3YOlhYtBWT8s82Cp/z8ida4U+8kYt3HLG57WhHbJ4X9jmG0iWa5Qby7G1bqWcdKxBA7Sy50vNCzWImIUfpM1+v6jX5GqymPWFmAtlYUQPx6pSwfaupK6T48bPnkxIAadzKp97jSdITSUBLeXmoDZn4Z2bSUhC5XC4kfwoyQIDIRR78fia/25Mv6OJsFs4s2f0VrvZOI1QdfET9CSLW1kDuNUtGs1yDeExZMJTPn3PtCybNYyfWLpSO0hsso8cdemx7rxpSiZrNSJYjVo1AwB3fTFAvDDmgTB3LXKyY6xEQji9gmr3zENmDmI9RPtIoiEj+Er+CWIHruueewcOFCzJkzB0uWLAEA1NXVYf78+fjwww9RX1+PiRMn4rXXXkNycrIe5fVrFkzshu0nS03nlqMlwg1hHO7UO4lYQmrAxT9GjWh2d2BttAWTG/FOaP0Imy83f7HjhZ7FUmVUs25F7lrViEaxZ4WnLMRKN+VV2t+0vBvl6ktpmkJtJiQ+xASTXFmFyiHUD4WuQWiyi4vcc16JtUipKCIBRPgqmgXRtm3bsHz5cvTp06fV9w899BDWrl2LTz75BNHR0XjwwQdx3XXX4eeff3a7sP5OZnw4Vt8zDDcuZ3DjvftN4ZYjFZrWTKItUHC33gNJxNJ6KWHkZsO9JZqNtGAKPceUXrfYwnU1qF23ouY6xESN1EavWvNk01V6/WLrcITqgPtZrL+JWeIA4Whu7ohs7jWL1R+//FIimlsupdemps9JiRSuNVJqLRY3DaF+YoT7HEGYBU2CqKqqCtOnT8dbb72Fv/3tb67vy8vL8fbbb2P16tUYM2YMAGDFihXo3r07fv31VwwbNqxNWvX19aivr3d9rqio0FIkv6FDQgRW3zMMNy1ncL6qwdvFkRyk6DFQINThjmtSIIlYWi8ljFQfUBKS2GiMEmNSa1jkrluqv6gRC2rWrai9DiFRI/SsUJOnUHhrLfeR3MBZbX/jCx2xMnIFklR9SYkDbtncFQBq1zapRage+UKOe+1CfUEM9lwt+xIRhK+gSRDNmjULkydPxrhx41oJou3bt6OxsRHjxo1zfdetWzdkZmZiy5YtgoJo8eLFePrpp7UUw2/JTorEv+8ehpve3ILSmkZvF0f0JcqKokAeYHoDrfXt6wEBxBAalNJ6KWGkwv1yB5DeEs16iTEhVy0pMeCuK5YWsaD1WtVaVFjUiF2x8ORa7iOpPLnWOnfqnVtOKXc2/jnc74Q+qx3wu2OJ04qUK6hYWbjHKoFbX60EKQNAZR0RhFlRLYg+/PBD7NixA9u2bWvzW0FBAUJCQhATE9Pq++TkZBQUFAimt3DhQsybN8/1uaKiAhkZGWqL5Xd0TYnC+3cPxS1v/YbyWu+KIqmXSqAPMH0NXxc/fMQGpexnLuzvRm507AtuetzyiA0uAc+LZiPDTQPSA3MtkwXuiG53rlWrkFKTp9g9xH7nbp7ctIVcGNXWu1AZuWnL1ZdScSBmaZP7nfvsAVpfo9ZnhpgFT6krqFLLnVA/Ye+XIN4IktYPEb6MKkF06tQpzJkzB99//z1CQ0N1KYDdbofdbtclLX+jZ1o03r9rKG5YvgW1jd7xa5LyGRZ6MfrCgJDwH6RcoYQw0n3OE0EB9L63pOrPnahdWjA63LTQoJg/yFOLOy5oQmJBrr9oFVJCm6Ky54nlJTfoV4Lc2inuZ4YRtlaycMuqxnLDtxixaXHTFQpmwCIk5oTeh1K/C7mtsZYdLc8MOQseIO8KKiWK+BYmoX7SvH0i5l/RTbSMBOFrqBJE27dvR2FhIQYMGOD6rrm5GZs3b8Yrr7yCdevWoaGhAWVlZa2sROfOnUNKSopuhQ4keqdHo39mDH45VuyV/KV8hqXEkJEDTyKwkBMCYoMrsRe+UdZNTwcF0OveUjOoNxojw03zP7NrItxB7JnIbxcllkwl/UWLaBSzmMmdJzXoV2O1E9qAVKzexFzh+CJCTnCICQC27NwyiQUzEHI9Y6+b/z6U+l2JC53aZ4YSCx43gIKQIFTyThcjPMSGa/u3U3YwQfgIqgTR2LFjsXfv3lbf3XHHHejWrRseffRRZGRkIDg4GP/73/8wbdo0AMDhw4eRl5eH4cOH61fqAKNLcpTXBBEgLIqEXoz+vm6DrF+eR4kQkHqpy4kivcW6UeLCyHtL66DIzIjN8nM/u4tUmGTWysE+I5RYrbjf89Ez0psSQS02YNar30ldt5ArnFJ3WDFBI1dfQuKV2w788+WOURPMQo17Hf84Ifj9kB/8CJCPFCv1zA0JsuKt2wehc3KUcAEIwkdRJYiioqLQq1evVt9FREQgPj7e9f1dd92FefPmIS4uDg6HA7Nnz8bw4cMFAyoQyuhiggeP0plJM8026wlZvzyLkH88+3/uwEjupS7nWqO3WDdSXBhxb5k18qA7AkDsmvS+RjHrOddqwLVqKFnLwbUwCfVNrc8esbzF+j8/kpvQue4gZeERQ6gt+enxJ0MA9yauxOpbTbQ4uWAWStzrhMSRmAVP6FkpJnLE3DbZ4/jH26wWvHbLAIzITpCpOYLwPdzamFWIl19+GVarFdOmTWu1MSuhnS7Jkd4uAgBlLxV/nG0G/N/6ZSbE/ONZ+H7yYkJdaCAilo4eGC0ujLi3zBJ50F0BILU+R+yzHtfI9jMlrplSrlxyM/Tsv4XSVYIaaxT/2vTud1KBFqTuVzF3LyERwB6npY31ftbLPReUuNcJiSNA2ILHRYnIEctPKJ2XbuiLcT2StVUEQZgctwXRxo0bW30ODQ3Fq6++ildffdXdpIkLkGnaHPir9ctsSIkhoG2dq1mAbqRYN1JcGCm2vGXhFAuNrUQAKBFQnhR2YgN5tjxK1nJwP7Pncv8vlK4S3Fkv4m44cm4a3M9q8hISOVJ74egxWaX2WS9l0ZR7Lihxr+OXQWn7c49RYqEUOo5NxwLg6n60bojwX3S3EBH6Ex0WjBRHKAoq6gR/N9PaFn8WDf5q/eJjhv6kZJZYDiWLpfV2DTOqnsxiydELIRdUpQJA6T40nrLeSkXilLNkygVaEEPMtU6oTyhdAyqWnhrrmlzwCDlrhdB6F6F82f+LWYHdfe+oedYrcadWun5JiVWb+2+GERfj/DKLXhMDSO0lxIoh2m+I8HdIEPkInZMjBQWR2da2+KtoMOtaC70xS3+S6kdqhIDUQmhfExS+VFY5lFhBuLBtxnUX0suC4i5CYkfoGSEUbY09ln+OWP+Xc60Tu1eVCGqxe7+5WXkIdjkXLDmXLLV93N1oaUrSlHvW6+liJ2fV5qO0n/PFE78PyWodC+0xRPg/JIh8hC7JUfjx6Pk235tpbYs/iwZ/m6EXwwz9SaofuVPf/IXiFBTDu0gN9MTch+TO45+vF3KWGDH3J7E+KxdoAWjb/9nv2HTV3KtKJjqk0nM3gIPQNQoJGLX3o5T1C9C2CbPYs55Nj0VqXyR+OcRcPLWEABd1aZO5V7iiiJv37Pk5CLJBUBWx6ZIYIgIBEkQ+QvdUh+hvZnFT83fR4C/XIYe3+5NR/cgs1i+iBaWuPoCy2XKh4/VATb9RGwqbj9CaD+61cC01QsEcxK5bqXjSYz2OkNgREj9CliMtEy9Sm79qvcf5x0r1Af61sJ+lzpUqm1x4bz5ibS5lOeX2o2UvZmPmJe0RO3J9q2PV3G8E4Q+QIPIRrumXhu/2F+C7A+fa/KaXu4Aea0doYOn7mMHt0Yh+ZAbrl16YYZ2XOyhxdZKzNPDPUWNxUFN/RvUbOVco/meh+1DNvSqVptjAXipvIZSGPJcqj9z+O0Jw1xRx09arrZSuexLyjBBzD1VSNr7lUcnaIinE2nHlL7m4pmYUOkzc3CZNsg4RgQIJIh8hyGbF/93cH3es2IYtxy9u0qqXmxrNnhOAf7s9At63fumB3Gy1LwgluYX+YmJJavCv1OKg5Vmntd8IuUqx95LU9SgROmrvVak0pYI5qLk/pIJHKGlftgxK2kRI1Apdg173uNS6JzmLtpSQUVI2PSZt5PrH57vOIv1kb6y8YzCykyiyLRF4kCDyIUKDbXjz9oG45a3fsPdMOQD1i2WFfgfkZ0F9fUaaUIbYQNVfxLEZrF/uosRi4QvtJvXsEhNLQoN/sb2A3HUf46Kl3wjtpyVnVRDKU2wgq8a1VIl4khJDYoNore8FsfZV2iZS0ezE2krLeiIuUn1ALk0591AlVjE1FlKh3+XSB4DTpbXYfrKUBBERkJAg8jGiQoOx8o7BuH75FhwvqgYg/YBTMxsqNqAg61Fg4U+uZVz8yfolNfj3pXYTe34otTRwz9fLfYyPlHiRGsgKWV3EXK3EyiEndNS4lMmJJ7H6kwoMofW9IBaZj4tUm4g9o/jXotbqJIZUH2DTkxKHcpY3JeUTElWCVkUGYAMkyLUhW35uuQuacwCQmxwReJAg8kHiI+14766h+MPrvyC/XHhvIhY9Brf+OkAmxPEH1zI+/hT0Q8rdiIsvt5vadlFz7WL1pzRkNT8PpZNM/HIteT5bMvy20nDXSpCqTy2RHd19L8jtvyPXb8Xamy809XhvSYVWZ9tea9AFJeWTEmTctUqusnF+469DEjqPmz9swNLSpbR2iAg4SBD5KO1iwvDeXUNw/RtbUFrTqGp2Ss5Fg/uZe46SNAj/wB9cy/wVqcFRILeb0msX2+tFStjwB++AsoGsmKsU0NbFkYunn69qJguEXAFZtJZbi/VWrL1ZF0o9yyeWLr/thb6Xul+Vlk+LazwgvLZQzMWW+5tIlyUIv4YEkQ+TnRSFlXcMwfrQVZpnp1ikXkhy0aAI/8KfXMu4+Ivrp9Q+KUrbzd/WBKrps0JrlAB1FgQlA1mxZ6fQ8WLPV7F9b/RG6t7g9xP+cXq8F9Rab91dE+XOeiKxthT7XiosuFj5hJArq5hIlRI+QseLCXiC8HdIEPk4fTNisLHkgtuwitkpNQt0paJBEf6HP7mWcfEF10+lQkVuPQB/QoO71gUQni3WI0S1t1DbZ9UGYuCjRAiICS/+8XIBFrhtpCUktRLk7g0pS4hQWbWgx+apStZEuTsZIpauVBvzLYxSYkjNezU2PBiVdU1ocracLNUeYr9JWTEJIpAgQeQPWNqauMVmp6ReBmoXOJttUEToh7+2rbddk6TQw4Il5kKjxE1GSBj6klVNS3m0WDjctUbxj5dbo8T+X4lrnzvIWT7ELCFcPO3mJ4ZYG7k7GaLUk0JO3Ij1O7Xv1fLaRlzWNQnDOsahFm3XYQEXPgsIHykLJUEEIiSI/BTuw06PmXGzDX4IQgtmdv3U24IlFYlLqTD0BauaVrS6hmqxRskdzz9XzHrF/p9rMdJrckp0MM37LHQPecNzQMpy6W4UOzGUelLwy8NFSwALMZwM8MOhQvxwqBCzuwNBYvelBbAwbfMEhOuBAioQgQgJIj9EiT+1t2bGfcH9xttQHRmDL6yN0vs+VeomI5WHWZ4deuOO5Vvt/aiH9YoL+71e1iKp9U78MnHLxv3MpuOJZ5USy6XSKHZSz1uxjXWFov/pGQJdDDkROHdBDiDWhhc8SYTWMXGPJzFEBCokiPyAObFzsLR0qeuzxQI0NbX8m/U5N8PMuC+533gLqiPj8AXXT73vUyVuMlrde/xBuJu1vGKR8PjoZbET2keHD78v6nUPaelHai2Xcq5u/DSEIrMB+j2PtZyr5N0gJWzZcYIS10eCCERIEPkJ/FmdpaVLW/yGYZ4ZXX92v9ELqiNjMesAGNDfgiWXnjvuPez5AAl3IxAS73KiSI88le4HxM9TazQ8dyaA1FgupTb65aYltdZO7HdPoaSsYoE8uOMDEkMEIQwJIn+GE2zBLG4vZimHmaE6Ckz0tmDpkZ6SBf/sv0m464uY25aR1n6llhT2/9w21yKM3ZkAUlsPQuWRizRopADVgpJ3A3udnRIj8L/5l8mmQRBECySIAhRvPdDN4LpndqiOAhe9rSt6pCe1KSkXEu76I7QJKtflSe91cFIiWko8uGPR1jIBpNaaKuWWp/Z5y3UZ9bQ1VE1ZaxsEKoPjNSIErR8iAhkSRP4MA4D38BRzdfCE/78vLGr3NlRHhNkRG0wFuhjSe02VkBhicTc6mRRSaQkNyN21aKsVJEIWM0C8HqTc8qRcQoX6Ofc4T7uIqn03VPMEUbOTQRNr6eONDQASQwRh9XYBCAMRiAIk5vbCXUhqFMtezHY9vM26qN3bUB0RZkdowBrowl1IvLj7TBUTQ8DF+l7yfLbbz4bZ83Mwd8HFP7Ey859LYu8UNWJILE0llh6lrl9im8nabOLPW+5nFr4ljJu20QiJOkD63cC3EH23v+Di9ZIYIog2kIXIT+FHlAFauz4A3lm4TwN7eaiOCLMiNaPODiS1LrD3ZYwKhiIlhvQQn2qCGkgFJtBq0ZZKU8h7QUzcyFlspKxYUlYlqSh/RrqIikX8U9O/GpqdaGhyIiTICoZhsHzzcfRJj8af4mYj2EZz4QTBhwSRH8PO+qzZcRrzPt7d6jdauE8QhFqUbEwJBGbkOSOeqWLuZHoJTTkhJ+QGyN+DR4/AHfy0+GXh9iEt4ce1BGCQi/LnCTEkFeBBrH9xz3+9chkA4Oag+1Be24i3ZwwiMUQQIpAgCgCu7d8OH2zNw7bcUtd3tHCfIAguStfAiA12Az1kvBHPVLFBsJ4CUywPpQJXz7Io6UNiYaPFBIJWK5aQUNNjbafcfSZWB0r6l5hL4QdNy/HD/D/BQiHmCEIUEkQBgMViwTNX98KUZT+h2cnQwn2CIFqhl3UnUC3PRj1TPTFxJZaHFuuRXF9Rco5cAAmxjUe5dSOUj97h57VY6ZTeZ2J1INe/pNZXkRgiCGlIEAUI3VMduG1YFlb+kqv7ficEQfg2ell3vGF51ju6mxaMeKa6I7KU1oncvkPuWo/EyiR1jlgf4q5N4x/HLbdYPnJ1IYcnXBRZpO4juf5FuocgtEGCKIB4aHwXfLUnH+er6kn8EH6HGQbGvoy71h1vWJ7VDsyN7CN6hdgG2q7LUiOy9AiUwAbf0Wo9EkLJOVJBO7jn8MvDL7dQPmZZ1yZ3n0ndR0rKLNZm20+WYmBWrJulJwj/hQRRABEdFoyFk7ph/ie75Q8mCB8i0Bf064E71h0tYYH1QM3A3Kx9xN1yuRuRTCwPrdYjKeTOERJoYtcDtA3wIJUP91xvrmuTu8/csTZKtdm/fjyOgVkDdboKgvA/SBAFGNcNaIcPt7UOsOAuNDNPeJtAX9DvLu5ad7xZ/0oH5mbtI+6US21EMjUh0bVaj6RQcg6/THMX5Ei2sZAgFAu8wD9XT5S8B5XeZ1rfn1JtFhFShPqmZtiD6KFIEEKQIAowLBYLnr6qF6Ys+xFOHV4KZp11JQKPQF3QrwdiM/Nq7mVP1z+7gaiagbnaMnpqskdqrY5Ufloikql5TmuxHonhjugWux4xQSh0jpGoichn9PpdsbSqG5rx2/ESjOqSqFteBOFPkCAKQHqkOXD78PZY+Uuu22mZddZVL8j65Tt4Y0G/P+HuXkKern+hiFpyg2w1ZZSqC72fCWKDdyV1rzQiGfdYd5/TWgb2WsWAnOue0HWxCFnMjOiXat6D3nx//JRzngQRQYhAgihAaQmwcBbnqxrcTstfZ+bJ+uU7UCh5fdA6waG0/vUWE2LPHrUR1YSQqwu9nglioaSV1r2SiGTc6+Cnz0VN+3gqUpuc657YdS15vvV5Qm2utT8Kuen5wnvweFG1t4tAEKaFBFGAEh0WjMcmdcfDOgRY8NeZeX+3fvkL/MGJpxb0+ytqBnZi6zeAtvVvxASDmmePFguFWF3o+UzgW+aE8hNDSUQyfrhqFikx5KkJIHc3Awak+4BUm2u9XjE3PSV90dseB7nFJIgIQgwSRAHMdf3b4cOtefj9pPYAC/4+M+8Ls36BjLeim/kzSkWG2rrXe4JBy7NHbZ8Qqgs1C/y5dSH1m9ZABUpFnthaGm5deXoCSA8BpqQPiKWl9Xrl3PQA4XKYweMgr7gGzU4GNquHFlcRhA9BgiiAsVoteObqXrjm1Z/R0OzUlIa/b/Lqr9YvX8XdEMOENGpEhtqQ19xjWdyZYDD62SNUF0LCQmqBPzvgBeRd7bROLrmzN42ccDJyAkgPAaa0DwiJUW7eLEqvV+g8oXS4bWwGj4OGZicKKurQLibMc5kShI9AgijA6ZHmwGvTB+D+97ejSWPYOX8RP3z83frla6gNMUyoR80AE1Be92KDPjO3k1BdiAkLqQX+3GuX+s0ogafmOSZ2fXpbMfQUyFo3qgW0T3iJiWMuUu3PP8aTnDxfTYKIIAQgQURgXI9kLL2pP2Z/sEOXUNz+gr9bv3wNLSGGibbIrWNQM8DkIzWAVuK2pQZPuCAJrYHiCwtAOOIdt1xyvwnlpxdKn2NiFjEj6tWTVhEpFzctAkVMYAr1b356UoLTU2uLcotrcAm9wgiiDSSICADA5D6paGjui3kf76YBJQcSP9ow6gUvNoAhK54y3BER/DaVGgAKDXiVum0pxdMuSGJ7NSldWO9N4a6kjvnXZ3S9Srkf6o3cc0NN/mL9QMhqxP1dafhwo9cWnaTACgQhCAkiwsW1/dNR3+jEY2v2ersohA9j5My93IATICueFFpFBL9NpRCbZTfCXcjTLkj8yG1CVgcxce4L7rdyoaz1RMr9UG+UCFXud3MX5KgKOc4XSEJtLGapU3pP6jXJRJHmCEIYEkREK24akomGZiee/O9+bxeF8FGMmrlXEmKYkEftYFeNGALE0zLCQuINq4uS9S9CYoh/jJn7rdH16sl7WW4NlZjFT80kDj+SoNj1CKWlRIDqOcl0srhG1fEEESiQICLacPvw9qhrbMbfvz7k7aIQPooRM8xiriqeDl3r66gd7MqJIalZcRYjApR4K+iJ3PqpJc+37odi1iSzRkL0RL16cn2mkrz0aiOj9tPSc5Ipt7gaDMPAomR2gyACCBJEhCD3juqEukYnXvr+iLeLQvggRs0wu7OhYiAi5GajZbCrZL2H1MDWiAGwN4OeqA0QYYboYkrxVL168l5Vkpe32kjpPalX+UKDbahrdCIsxKSKnCC8BAkiQpTZY7JR19iM1zYe83ZRCHh/l3OlGD3DbIb9PHwBMeHIbR9AWT+SWu+htA8aNftvBHL3mtoAEUomCJTe3554Dnj6uWKGZ5u3gl4oFaB6lC/EZsWbtw0iMUQQApAgIkSxWCx4ZGJX1Dc58fZPJ7xdnIDGl6wies0wSw2SfGnG3VtICUe+W5cUgbZ2S+5eE6sP9lwl4azZ75XmqfY4X8LT1yT0XPH2nnNy16lX+f7xh94Y0iFOYykJwr9RJYhef/11vP7668jNzQUA9OzZE08++SQmTZoEALjsssuwadOmVufcd999eOONN/QpLeFxLBYLHp/cHfVNzXj/1zxvFydg8TWriLsDGalBEuC92VxfQw/hGGj7ccnda0L1ITWQV1J/Unmy61vURCTzJmqtPe5ek5r8pKymWiynepZNCj3uwbnjOuPa/umq8yaIQEGVIEpPT8dzzz2Hzp07g2EYrFq1CldffTV27tyJnj17AgDuuecePPPMM65zwsPD9S0x4XEsFgueuaoXahqasWbHGW8XJ2AJJKuIkkGS2UMYmwG9hKO/ih8x5O41Njw191ipgbw7a1j46Zr5OaDV2qP1muQmTsRElbtWUyXobfly5x68tn87zBnbWfP5BBEIqBJEU6dObfX52Wefxeuvv45ff/3VJYjCw8ORkpKiXwkJU2C1WvDAZZ1IEHmRQLOKSA2S2H/7u8XCnRlmKdcuuX1WAh2l95pYH9XSbkJ58gfuasrmDaQmMqSEgNZrUjJxwheWnhKUZrHmDWkfh+em9aaocgQhg+Y1RM3Nzfjkk09QXV2N4cOHu77/97//jffffx8pKSmYOnUqnnjiCUkrUX19Perr612fKyoqtBaJMJiOCZFwhAahoq7J20UJOLzt424mhAaJZhnY67k43N0ZZrEw5f6y9sQo1NxrYgN5te0mlKfUwN2o54Ae/Ves3GJCwN1nm9zECf//nhSU3rbmtY8Px/LbBsIeZCKfSoIwKVa1J+zduxeRkZGw2+24//778dlnn6FHjx4AgFtuuQXvv/8+NmzYgIULF+K9997DrbfeKpne4sWLER0d7frLyMjQdiWE4VitFvTPjPV2MQISdjE34P9WERahsM5CAwyzILSBKdd9Ry1CM8zc75Ww7MXsVq5A7qQVKCi91/jH8PurmroWylOo/wvlq9dzQKz/zl2Q4/pT0peFBvxS96m7zzaxehLLky8s2fz0hLvWUahsniAmPBgr7hiC2IgQz2VKED6MagtR165dsWvXLpSXl+PTTz/FjBkzsGnTJvTo0QP33nuv67jevXsjNTUVY8eOxbFjx9CpUyfB9BYuXIh58+a5PldUVJAoMjH9M2Ow6UiRx/IzQzhWsxBI1y02a+yr7kJa0XOG2duz1XKY6V7XaoFj+62WuhaKJufJyH5i/Zf9rMXSxaLm2tUg5RYqNIHCLYtRdSpk2fW0Vb9jYgQWX9sbHRIijM+MIPwE1YIoJCQE2dktD4+BAwdi27ZtWLp0KZYvX97m2KFDhwIAcnJyRAWR3W6H3W5XWwzCSwzwoIXIH0PMqsVMg0RPIjXYNLPboNhAmBspTE376SkAzSwmzXCva7nXhH6fuyDH7brWO7Kf0muTssAqEfj8cht9n4rVEyDsguhNYWlkvqHBVlzSKQGXd03EZV2TkBFHwawIQi1u70PkdDpbrQHismvXLgBAamqqu9kQJqFfZgysFsCp82BK6IVtlkWp3sIMg0RvIrUppVndBsUGwlraT28BaGYLkZ73uhZho+e9ple76dWv1VybmFWFRamly5P3qVyIbaMtQkKI3Wt65tsxIQKjuybi8q5JGNIhDqHBAfJiJAiDUCWIFi5ciEmTJiEzMxOVlZVYvXo1Nm7ciHXr1uHYsWNYvXo1rrzySsTHx2PPnj146KGHMGrUKPTp08eo8hMexhEajM9njcBj/9mLA/n6BMAQe2Gzn7mYaRDHR29rTqALQiHMJH74iA2EtbafmoGlkr5nZgsRoM+9rlXYaLnXxOpcqyDQ+/nBT0/JtcmtyVPaHma4T725h5CSe01t+vYgKy7pFI/Luibhsq6JyIondziC0BNVgqiwsBC333478vPzER0djT59+mDdunUYP348Tp06hfXr12PJkiWorq5GRkYGpk2bhscff9yoshNeok96DL54cARW/JyL9QfP4VxFHfLL61Df5NSUnpSLgdkHcSxGWXN8SRAGOmIbdnJR235K+o6SvmcWd0OpQaAe97o7kwhq2kquztXe82LpaQ2PLhQggYvYtclZiABzuagahTvPcyX3mlT6QvdHZlw43r1zCNrTmiCCMAxVgujtt98W/S0jIwObNm1yu0CEbxBks+KeUR1xz6iOAACGYVBe24iCijoUlF/4q6jDuQuft58slQzXrSbELGC+fVSMsub4iiAkWuD2Rz3WkihBSd/ztBuTEFKDQD0Fm1YRqqat9L7fxSIKap1YkRJDbLp85EJ/s+eY5ZmrBaVWGXfaV8m9Jpc+//64PfR+JEbRWmuCMBK31xARBABYLBbEhIcgJjwE3VIcbX4/U1aLB1fvwM68MsHz5dZeCC2ONdt6Gr2tOWaZ1Se04cn2U9L3vH2fSA0ClzyvTrDpbWnS0lZSda7F3UrKkqNFaMmJIf61CQ3kxSaj2PO19CkjA8VIpa3W6uPO81zJ9Yilz78/goJAYoggPIDqfYgIQgvtYsLw0b3DcdelHdr8xt+DgoX7YuDPnLL/N9N6Gn753bUGBOLeQ/6EJ9tP775nFFJRzNg9k9g/JWKI+xxgLU2A8EJ6KbS0lVida92PSqzN5FzY1JRPSz8Uey4ruSY+eu/VpSZtMSsc65rI/QOMv6eE0pe6PwiCMBayEBEeIyTIiiem9MCQDnFY9sNRFFXWo7iqActezHa9hFiUvAjMtJ7GKGsAiR/fxhPtZ2ZLIn/G3uh1QmotTVzUtJVUnWtxtxLbvwfQVkdS6SkJzKHHNQlhZKAYJWlLWWW4dSVmIdPrnlK6zxpBEJ6DBBHhcSb2TMHEnikAAKezZe3Ru/U5gMoXgTvuKXpj5BoNM1wfYV7MsD5ICLEBttHrhDxx3VJ1PndBjtsBGvj/1hKyW2iSSUp8KFnXIpSeWvR2LVaTtpAg51uM+OcZcU9J7bMGBqrfhQRBuA8JIsKrWK0WxEaEAA3KjhfysVbiF+4JUWHEQCzQ9yLyV/Tuj+5EIdOav1wactEjtebLnu/tYCNy7nTuBmjQYyCuVnwYKVZYjGw7sbSFXPLkrDHstS953rj9k8JDbMiIDUdGXBjSY8MRO3x9m1HZnNg5huRPEERrSBARPoXShajsIENoLw5fEhVGupgQ3sHbIleP/KXSAOStCu4MMs3sIgjoG6DB3cG4WvGh5ng9XPn0bDuxtAHx/igliowS2WHBNjw+pTuu6JmCuIgQWFoVoKcxmRIEIQsFVSBMgdJZMDULUfmDNjMHZJBC6voI32D2/IsLtqUWd3sCPfKXSkPI/YtFj0Gm2YONCJUPkA4eYEQ9qQ0wIXY8IL6uSYsrn1FtJ1bvQi5x3M9C12uUyO6e6sCXsy/F9KFZiI+088QQQRDehCxEhE8hNHspNqupZWNCMyI2i+krVq5AR8ia4gnXJCn0yF8qDb5FU29rgFxQADYfb90b3DUigLQlzsiALErXlgkFv2ARG7NrrV8j24RNm10/JdQPWYQEEPc7vfvPHSPa49EruiE02Edm4ggiwCBBRJiGObFzsLR0qeLj5RZq22yed4fQG26EJy7kOteCmQbBYoi5Peq1jkJLHeiRv1gaYjPxRroHanUDNLL/KHV3lRMu7pRR7jgxl2I2H6FIdZ4MXuEOYv0QEO7vcvWqtR3iIkLwwh/6YGz3ZNljCYLwHiSICFPBdZ2TE0dCL272MxtlSWg23mxrDqSQug6hWX1fEAh64e21OGqQWvvmTn/UUgd6WCSk1mtIrcswSshrWWvnif6j1BKndM8lPcsotG8PPx+zr9eSQi5oAouSetXaDkFWCz5/YAQy48O1XgZBEB6CBBFhWqQsRkr8z6UGbb4kFORmall8SSDogS8FnBBrO3fXUWipAz3CdIulwZZJiSjSG7VugJ7oP+5a4jy5bw8XNh9PbifARU0eQpNAUvswAfLBePhobYcreqWQGCIIH4EEEWFqxCxGFgBNMi9Ns+7Pohb+dYjN1PqSQNALb6/FUYLULLsefVFLHei1iF0I/j0nZqHVGy3iw8j+o5d1xcgyKnEp9tR2Atx/K53IEZsE4osi9ncWKYu7WL5a2mHmJe2lDyAIwjSQICJ8Bn4kupzCSqyJ2YYzZbWirmK+Jn7EUCrufEEg6Imea3GMwihhzkYsM3sdcMtnlMuVVvFhZN3p1e5GltFbLsViUQrZfyudyJGaBGJDlotNJolZj8TEmNp26NXOgYFZsfIXQRCEKSBBRPgs2UlRWPPAJXi/fnlAuIopuRazD471QmyjRcCc6xuM6IdCLk+eqgOxCQixmX+j3VW1iA8ptyotzw4j1u95a98eT1jSpdb3qJnIkZsEEhNNQNu2FxNjatrBYgFuHJSBRyZ2BYXVJgjfgQQR4dMkO0IRVKrOH9xf8eUF0GqRWv/gTyJYDrHBoJF1ILVWTWrw6e4mo3KovWY2YAkXrc8Oo9bvGen2qzVtvYSf1DozNcFilEwCqbGcC/0mVlc228UQ383NwOaPB+GZq3qib0aMcOIEQZgWEkSEXxBormJC+MuaKaVQm3vOIii0AF5sAsLX2kWP8hq5fs8T+/YoRS/hJzZ5IzSRI5Wn0kkgsftESJCJtT33+oTKFGQDxtzyO/rGjlBYCwRBmAkSRIRP4wq0wKAl0sIFzDwAMxJ/FT9CBIp7oBiesggq3VhWDCPbRQ9rhV79yNeEIKC+/vQSfkKTN4DwRI7cOiG5SSA1IeKV3kNSa6AIgvBNSBAR/oGH1lGEBlkREx6MqromVDX4oS+ajxBI7oFieMoiKDYgVTIINLJd9LBWSPUjrjudpza79SRa608v4aekjdi1glJ5yqUjJr746YrdQ0KiUahMBEH4NiSICL9DzToKmwWIjQhBVGgwIkJssAfbYLNYAAvgdDJoaHaitqEZlXVNKKttQF2jE2W1jbAHWT1wJYQYgeYeKIanrldsQKrEMmRUu+hhrZBaG8JPkysUhAbJSgW6WTZPlqo/KVEkJ/z0vD6xtlQrwPj5z12Qo2j9nZhoJC1EEP4HCSLC72BfloPbx8JiscACoNnJoMnpREOTE7WNzahpaEZFXRNqG5pxvqoB56saFKffp10MtuaWGFN4QjGBJn68idggWGwthl5iSG5wrYe1QmiwzE2bL7Sk9r6RE+hm2zxZrP74QTIA4Q1P1az30Xp9YqLbXaujEoseucYRROBAgojwK7gv6G25pYbksfdMOfpfiCJ0uKACNY1OQ/IhPIdZZu09idJrllqDwaJH6GYxqwsgPrg2yk1NSmgp2ftGDLNtniy2HowfJIMr+qSEnxHXJ9bGWu9PtSH71Ygg/l55BEH4DiSICJ9mTuyci4EVLmD0YLa2sRk7T5UBAIJtFvRpF42QICsOn6tEZV2TYfkSxmC2WXs9UbNfkNg1y63B4FuLtNx/YuVhPwt9b+Q6Mjmh5Y5lygzBF4REAQu3LFpEn57XZ0Qbqw3ZL+YaSuKHIPwLEkSEz8N9MRVW1GHEiz+gJeyc8TQ2M9hzphwAYLNa0DPNgfAQG44VVaOkWrkbHuE9zDZrrxda9gsSu2buQFHMpQwQ3ptF0Vo+hYEb+IvpjVhHpmQQ7msBFPiIiQIhMcT9rOQ6tdaNnHjXs42VXltzMxBEoySCCAjoVif8iiRHKK7u1w6fbj/t8bybnQz2n60A0PKC7ZocheiwYJwsrsa5ynqPl4dQjhlm7fVGTvQYYeVwx9KmJHADv3xGWPDkBuHuWi3MIqak1uZwr49FSTm11o2nrbRKru3hCV0wK+FK/F/Z/7X5jaxDBOF/kCAi/I57Rnb0iiDiwjDA4XOVrs8dEyOQGGnHmbJanC6t9WLJAgO1a4LcGaSaef2RkMgAWq5P6TULbcoqdC5fwKi1tEkFbtDbJU4OqfZz12qhVoga1b+k1uZwr09N3WutG09aaeVEmz3Iipdu6IfJfVIBkPghiECBBBHhd3RNicLoLonYdKTI20VxcbyoGseLqgEAGXFhSIsOQ3FVPXIufEcIo2UwqHa22Z0Zf71ntvUa/LJrRMTWP7BllbtmoetjERNBQvnIIdUGZgyt7k4Z1Ihvoywncn3eHdEnFLZaiQulp6y0UtcWGmzF6nuGYUBmrP4ZEwRhakgQEX7JPSM7mkoQcTlVUotTJS1WooTIELRPiEBdQzMOF1Si0enjflo6onUwqGV9jNbBn54z23oNfoXSkRNFgPA1i10fi1ja3N+VECj7SqkV30ZZTpTUt7t1r7Y/e9KVUOza/jGtD4khgghQSBARfsmI7Hh0T3XgYH6Ft4siCXcPpPAQG3olR8FiAY6eq0RlvQd8g0yMO4NBtbPN7gz+9JrZ1mvwKyVihAacWqOGLXk+G3MX5Ei6zwHKXdz8TfzIoVT4GWU5Mbq+1fRnLVZaIWsqN1/2O6XXedelHXB1v3aKjiUIwv8gQUT4JRaLBfeO6oCHPtqte9q3DcvCoPaxeHVDDo6cq9It3ZqGi+G8bVYLeqQ6EGkP8smgDEMubIrrLp6OdKUFPfPSa/Arlo7SASd3sCl1fUIDWX76gSZ0xJByP5TCW0EY9HDfVNqf1VoIpcK0879TYmEd1jEOCyd1U3pZBEH4ISSICL9lSp80PP/tYeSX1+ma7vRhmeiW4sDUPmn4/uA5vPJDDvZeCL2tF81OBgc41q0OCeFIigpFUWU9jp83/7qjvNJaFLhZ78Ph2UhXQsgNCvXeJ0XqetUMUKXSkRtwCg02la418cSieLMj1k5aLIBG7rUkhV7um2ruXzXpKrGCKu2DadGheOWWAQiyWRXnTxCE/0GCiPBbgm1WzJ/QFQ9/op+VqF9GDLqlOAAAVqsFE3umYEKPZGw6UoRXfsjBrlNlSIsJQ0ZcGFKjw7DxcKHLJc4dTpyvwYnzNQCApCg7suLDUdPQjEP5FWg247IjHcqkdTCo13oUJYNCPde+SF2vmgGqVDrurIuSWmsyd0GOrq5dZo7cJ4VUO7HfcVHiyumNtVV6uG8aLebEIijyv+PXL79vWZqBhMix+hSKIAifhQQR4ddc178d3vv1JHZfcEVzl5uHZLT5zmKx4LKuSRjdJRFOpsXdjaWqvglvbjqGt348gdpGfUYChZX1KLzgQhdpD0Ln5EiAAY6cq0R1gznWHTl18OvRK9KVVpQOCvUanEpdr9hmqEIDVD0G0VLrhsTQy7XL03vS6Ilcn9FSR966ZncFrpZ+qIcVVKp+22xKzAAIApaWLqXw2gQR4JAgIvwaq9WCp6b2wLWv/aJLemO6JYv+ZrFYYOMNIiLtQZg3oSumD8vCy98fwce/n4KegeSq6puwM68MABBktaBnmgPhITbknq9BUZVvrTsSQmgwNLRDHLafLEGT0/j8PRUKmEWvxfXuDqLVDtz1tAYoEaJmtiCJtZO33N+0oofAdTc6olorKLfcQvXbZlNi95c5EgThJ5AgIvye/pmxuG5AO6zZccbttLYcL8ZVfdNUn5fsCMVz0/rgzks74B/fHML/DhW6XRY+TU4G+89eXHeU4giF1dIyCcqg5T8MGNdAgQHAXPjAMKyXG//3C/9mGE4a8hQaGATitxMlSI8NQ1RoEA7mV8qf4AbeWtDuzbJoGbjr7dolJf7MbkESaydfCi2u1H2T/c6TFllAvC7ZdKTqVyzWC1mJCCKwIUFEBASPXtEN3+4rQI2bLmVf7j6rSRCxdEmOwtszB+OXY+ex+OtDugdj4FJQoW8wCTNxurRlH6eBmbE4dr4KZTWNuudhphl9T5ZF68Bdz4G9lPgzam8ePVCy4akvICc4AGViVK14EhPCrMsom4Y7gozftwiCIADAwjDenPNsS0VFBaKjo1FeXg6Hw+Ht4hB+xKsbcvDCusNupRFis2Lb4+MQHRbsdnm25Zbg+je2uJ1OoBMVGoRuKVHYlluqe9pmcs0yU1mMREl4aqEBrdwaJ09hlnaSKofWMvLXsgEX24df92LtKCZopNJmv+P2BS0BQ9gyiQkishARhDnxhDYgCxERMNx1aQd8tO0U8kpqNKfR0OzEd/sLcP2gtsEV1FJrkgAIvk5lXRO25ZaiVzsHTpfW6motMpPgMFNZjETIOgG0HgCbyZWRjxnaSS7anTsuh0rXsslZ8vh5i1nXuPlx97oSSlMpZCUiCIIPBd4nAobQYBv+Mrm72+l8uSdfh9JAt6hzRAv7zlQgyGpBt5QobxeFcJNlL2a3sjhwB8AsXHEEmDc4gaeYPT8Hcxe0/AmJEaBFOEj9pgS++BGK5CZk7RHKk5v3shezXW0oJIb4aYh9FqNNhDmCIAgOZCEiAooJPZJxaXYCfso5rzmNfTqt+6kjQaQ756saUFzdgCEd4rD1RIm3i+OXeNolTMoi4engBGZxh+MjZBGSqjet0RPl1kjJlUOuXNy6nLsgR/B4rdZBOTFE7nIEEdiQICICCovFgsendMeVS3/UHP66pLoB1fVNiLC7d/ukxYS5dT4hDMMAW0+UoHtqFAor6lFc7f7GuEQLRkV4kxIaYgNgT68X0nrtRosoIcuHmBjh/luLqJALuCFVDrXujnzxxT1Wa3AREkMEQYhBgogIOLqlOHDj4Ex8sDVPcxqnSmvQLcW9hX2DsmLRNyNGt01jidYczK9ETHgweqY5WoUjJ7RjRIQ3KaFhpkh/UtfOjYLGhRtAwIgQ4VJuYEKigx+aWkudypVbygKkpj3F1pJx02A/K61LWjtEEIQYJIiIgGTe+C74cvdZVNU3aTr/VEmt24LIYrHgj6M74v73d7iVDiFOWU0jmpoZxEeEkKVIJ/TerFapyDLD3j1ybmj8fxsdIlztmhh+lDkj6lTOoqcmbz3bWcjiRBAEwUKCiAhIEqPseODyTnj+W21huE+5EamOy/geKeiQEIET56t1SY9oS1V9E7KTogNSEBnhrmVEhDcxoaEltLIWlNaT2LULBX1QspZHbf5CKBnc8/M0qh6VWIC8JWb5Fie23shdjiAIgAQREcDcOaIDVv+W59rkUw2nSvURRDarBfeO6oiFa/bqkh4hzK5T5eibHo3dp90LiGHWRfVCGLHexygXNqnF90ZvvKq0npSEheYjt5ZHTf5cokKDkBhpd6UnJdKE8hQiyGpBsiMUaTGhSIkOQ2p0KA4XVGLz0SLd1hh5G245/vPHSzAwK9aLpSEIwkyoEkSvv/46Xn/9deTm5gIAevbsiSeffBKTJk0CANTV1WH+/Pn48MMPUV9fj4kTJ+K1115DcnKy7gUnCHcJDbbhsUnd8ODqnarPPVWiXkSJcW3/dnjxuyM4X1WvW5pEW86U1SIixIZqjfs/GRVQwCiMcNcyYsArJDT0dsuTQmk9ia1pUeKCJSUgpfK/sncKRnZORGKkHQlRdiREhiAh0o7Q4JaTlpbubpOXqyhMywdunoPbxyIlOgxp0aFIiQ5F6gXhkxoTioQIO6zWthdyurQGH/9+Gp/8fgr55XXSFwrziB85thw7T4KIIAgXqgRReno6nnvuOXTu3BkMw2DVqlW4+uqrsXPnTvTs2RMPPfQQ1q5di08++QTR0dF48MEHcd111+Hnn382qvwE4RaTe6diZVYufj9Zquq80zpZiIAWYXbHiPZ4YZ029z1CGeerGjCkfSy25qpraxaj14MYgRHCwsgBr7c2XlVaT/xr57tgSYk5bnpsIAZWGIkFRHht+kDJcs+JnYOlpUt5JwunNT9xDnC/ZHKCpMeGY974LpgztjM2HSnEB1tP4YdDhWjWGqbTJGw5XowHx3T2djEIgjAJqgTR1KlTW31+9tln8frrr+PXX39Feno63n77baxevRpjxowBAKxYsQLdu3fHr7/+imHDhulXaoLQCYvFgkVTe+KqV39SNeg6WliF344XY2jHeF3KceuwLLy2IUez9YJQxraTpchOikBOobY1W560XOiBp4WFWoSsbtx/eyqynJ5hqOXS4oaQZq/dnYX+nloDY7NaMKZbMsZ0S0ZBeR3uf387dimMkCnlamq1QPMWCGrz4vJ7binqm5phDzLxjAZBEB7DqvXE5uZmfPjhh6iursbw4cOxfft2NDY2Yty4ca5junXrhszMTGzZskU0nfr6elRUVLT6IwhP0js9GjcNzlB1TrOTwf3vb0desT6WouiwYNw6PEuXtAhxGAaIsAe7db7UZzPBCgihTUzNgpDVjW+BA4xdh+JuPS17MRtLnm/5E0uLhR90QVA4mbhPsaREh+L9u4diSIc42WOFQoOzrqavTR+AvU9NxJIb+2GogrTcyYtPfZMT2zVaiwmC8D9UC6K9e/ciMjISdrsd999/Pz777DP06NEDBQUFCAkJQUxMTKvjk5OTUVBQIJre4sWLER0d7frLyFA3MCUIPXh4Qlc4QtXFGCmtacRdq7ahsq5RlzLMHdsFHRMjdEmLEGfP6TK0iwlVfZ4vCAwuy15sO0A30wJ3FrmgBICxZdaznsTSAsSvky+KGABoMn/0s0h7EFbdMQQjOydIHicoegEEBQFX9k5FhD0I1/Rvh4/uG44f5o/GHSPaay6TUF7c7/l8uuO05rwIgvAvVEeZ69q1K3bt2oXy8nJ8+umnmDFjBjZt2qS5AAsXLsS8efNcnysqKkgUER4nPtKO+RO6YtEX+1Wdd7SwCn/6YCf+NWMwbAILktUQFmLD/93UH9e+9jMam31gmthHYRggLSYMZ8rkF4hzMXsELSHkymZU1Dw16Uq5i3nKAqdnGwqlNXdBjuR1stYwdq+euy/tAEzRrUiGERZiw1u3D8KDq3dg/cFC0ePaXLdIPXRMjMSiqT2R7AjFc98c0lQmNW6tX+/Nx1NX9YQjVLvVmCAI/0C1IAoJCUF2dstDe+DAgdi2bRuWLl2KG2+8EQ0NDSgrK2tlJTp37hxSUlJE07Pb7bDb7epLThA6M31oJj7YmodDBZWqzttwuAjPrj2IJ6Z0h8XNHf96tYvGIxO74u9faxsMEMrYc7oc0WFBKK9VtzGvkoFzYqQdHRLDYeGN+hgAYBgwaFkz4XQ6sfOUe2HA3cGoqHlq0mUjzEmhxQIXYrNeiKIWirSYC5HUokMRbLNiw+FCbDpShLpGp/qENSK3KSh/wB4W4jvrWkKDbXht+kA89NEurN2b3+q3xCi7mPaR5P7RnVBW04g3Nh1Tfa6a9WB1jU58sessbh1G7soEEei4vQ+R0+lEfX09Bg4ciODgYPzvf//DtGnTAACHDx9GXl4ehg8f7nZBCcJogmxWPH1VT9z45q+qz33n5xNodjqxaGpPwdC1arj70o7YdKQIP+cUu5UOIU59kxP9MmLw24kSXdMNtlngCAvC1hPK1iZ0TYlCU7MTx4o8vzGvUVHzpNIVshwBwkKBHcgqEWcJkSEY2TkRo7okYHjHBCQ77KKTEzcNyURtQzM2HSnCd/sLsP7gOVTUSQtjq6Ul2lr7hAi0jw/H7lNlqva0EgvZLRY0gg2r7SuEBFmx9KZ+6J8Zg/8dLER5bSNmjmiPq/ul4Y1KdVZ3lkev6Iry2kZ8sDVP8Tla9sn6aNspEkQEQagTRAsXLsSkSZOQmZmJyspKrF69Ghs3bsS6desQHR2Nu+66C/PmzUNcXBwcDgdmz56N4cOHU4Q5wmcY2jEe0wak4z8afMtXbTmJ8tpGvHB9XwTbNMcrgdVqwYvX98MVSzejrEaf9UlEW46cq0R8RAiKqxt0S7NPegy2qwjhfviCNXJgZixOllTjfJV+ZVGCUVHzxNIVshwJWU/kBrJBVgsGZsViVJdEjO6SiB6pDlUTEWEhNlzRKwVX9EpBY7MTvx4vxrf7CrAttwTJjlB0SIhAVnwEOiSEo318BNJjwxESdPGebmx2Ytn/juKVDTmKI6RxhZ2c62WYjwkioGVC6e6RHXH3yI6tvhcMDQ75NVIWiwV/u6YXKusa8dWefMljWbS4te49U459Z8rRq120ojwIgvBPVAmiwsJC3H777cjPz0d0dDT69OmDdevWYfz48QCAl19+GVarFdOmTWu1MStB+BL/vL4PpvZNxWsbj2GrSgvC57vOoqKuCa9NH+DWLG9KdCieu64P7n9/u+Y0CGlKaxoRFmLDkA5x2HmyFI1uxv51Z4+j7XmlCA22YkiHOOw+VYr6Js8snjEqLLdUukKWI64oYuEPZIOsFtw4OAOXdU3C8E7xiLS77eAAAAi2WTGycyJGdk5Udc68CV0xsksiHvpoF06XqtuoWc7qVSljsfI1tAaIsFkteOmGfqisa8KmI0WKztHi7vnx76dIEBFEgGNhGHMFjq2oqEB0dDTKy8vhcDi8XRwiwNl+sgSvbzwmuWBYiCHt4/CvmYPcXqy7cM0efLD1lFtpEPKkRYciIcqOPSrcoLh0S4nC0cIqXTarTIgMQWZcOHbklbmdlhRzF7SEIhYSLuzifi2I7S3Ez4ubp1x+8REheP3WgYrCPHuairpGPPXf/Viz84xuaVotwN+v7Y2bhmTqlqYvU9vQjNve/k31BtpKiQoNwra/jPM5V0WCCBQ8oQ20+/UQRAAwMCsO/5oxGN/OHYlr+qUp3jxxa24Jblr+K85X1buV/xNTeqBjAoXiNpqz5XXYc7ocvdIcSI8NU3VuYqQd5yrqdBFDAHC+qgE78srQu53xE0JCrm3uIhV6Wss+Tj3THPhi9qWmFEMA4AgNxks39sOym/sjSmXofqDF8jWmWxKiOBYvJwM8tmYvPlSxfsafCQux4e2Zg9E91Zh7orKuCd/sU+aWRxCEf0IWIoJQwdo9+Zj70U7FYbE7JkTg3buGID02XHOeb/90An/96oDm8wl1WC1A91QH7EFWHDhbgbom8WhkwVYLshIikFNYpXs5osOCEWS16LrGiYuUhYiLEaG4hRa8C4XpntInFS/8oa/PRF07U1aLeR/tUhSsw2a1YNqAdpg9pjMy4sJR09CEtXvy8cHWPOzIK8O0AelYdFUPCgnNoaiyHjcs34IT5/UPQjK0Qxw+uo8CQBGEGfGENiBBRBAq2XykCPe9tx21jcriAadGh+K9u4YgOylKU37rD5zD3e/+rulcwj3Cgm3onhqFhiYn9p+tAP9hOSgr1jA3HgDonhqFg/nqwsArRcq1jf+dkfsTAW2DLQCApRn4U8Kf3A5l72manQy+P1CAkupG1DQ0obahGTWNzS3/b2hCbaMTjtAg3DuqI7Liha2/5yrqkOxQv3lwIHC6tAZ/eH0LCiqU7yMm1+/Y74aVT8eIbOmNZgmC8DwkiEgQESZl+8lS3LlyG8prlUWBiw0Pxld/Gol2MercsQAgp7AS417arPo8Ql/iIkKQnRSJ85X1OH6+GoPbx2KbxiAKahjaIU738OAs/IEii97riqQQslSBAWDRvhif8G++2nMWD67eqehYtcJ/VsyDtJaIIEyGJ7SBPmF6CCLAGJgVi4/vG47b3v4NhZXy64RKaxrx8Me78e+7h6repygjLhwpjlBVM6KE/pRUN7iiDmbGhWOnwUEPWLbllqBrciQOn9PfLY9v9Zm7IEeXUNxCM/JSFqY2RiDfMgoRHubKXqnolpKjaBNtsX2xhL6z2YBXfsjBwxO7GlBqgiDMDAVVIAiNdE2Jwn/+eAmy4pWtD9pyvBhv/XhcdT72IBtW3zMUCZF21ecSxpBXUoMmnYIoyOFkWgS1lgX7WtAS+IALf0YeuLgpq9I8CUIKq9WCueO6KD5eSOSLBRRZvvkYjpwzxk2VIAjzQoKIINwgIy4cn9w/HN1SlK0PWvzNIdz29m84cLZCVT4dEyPx77uHIjacFlgHIoWV9R6JNsiPBie3QaoQQjPy3O/F8iQINUzsmYyeacpcZ4REvpjwnzX/KL4OfgdLS5cKbihLEIR/QoKIINwkKSoUH907HAOzYhUd/+PR8/j71wdV59M1JQrv3TXUY5YCwlzsPl2OQQr7mFbEQmarDaigJJx3RIgNMy9pj+ssdwv+TuuHCCksFgseUmAlEhP5Yt+1pA2wEVRIFBFEYEBBFQhCJ2oamnD3qt/xy7Fi2WMtFmDzI5cjI059OO4deaW47V+/obqBptYDjeiwYDidTlTWm7ft5TZ8zYwLx4xL2uP6QekUUppwC4ZhcM2rP2O3zIbKSqLMsZA4JwjzQUEVCMKHCA8JwtAO8YoEEcMA/9lxWpUfPMuAzFi8M3MwZqzYirpG8T1yCP+jvLbRY9HttNLc3DLQZJi2Ebzeun0QxnRLgk1lYBGC4MNabi6/Bbgc0pZMJRZOoYAiBEEEDiSICEJHSqrlI86xfLA1D7UNzahuaMIzV/VSFX1uaMd4/Pvuobhz5e+KQ38T/sH2k6VoHx+O3OIabxdFkGUvZrtm5Ll7Cs1PnAMkerdshH/AdWPjRoibPT/HJX7URjoELop4sc8EQfgv5DJHEDry4Ood+GpPvurzPp81Av0yYlSfd/RcJW5/ZyvyyykkdyDRLSVKUchhbxEWbMODY7Jx85BMxEWEeLs4hJ8htK6HO5JhrZSAeNh4vkAS26+IFUTkNkcQ3sMT2oCCKhCEjpRUN2g67/sDBZrO65zcEvo7OylS0/mEb3KooBIDMmO8XQxBEiJD8NF9wzDr8mwSQ4TH4IbSFot0yP03PxS8UEAR7nkUXIEg/BsSRAShEwzD4JzGzVO/239Oc75pMWH45L7h6G/SATJhDHklNQgPNtcjvGNiBD57YAT6pMd4uyhEgCIkgtjPcqHguRYjcpUjiMDCXG9TgvBRGIbBs2sP4lhRtabzjxZW4cR5becCQGxECFbfPQxjuiVpToPwLc5XNSA9LhwRISIb/HiYIe3jsOaPl2iKnEgQqhHYS4hFiZiROobEEEEEHiSICMJNGIbB4m8O4V8/nXArHa1ucyxhITYsv20gZl7SHh0SIiiSVwBw5FwVUmPCEGX3riia2jcN7941BDHh5CJHeAYG7gkXqdXT5lpZTRCEJ6AocwThBgzD4LlvDuHNzcfdTuv7A+dw76hObqURbLPiqat6AgAam53IK6nBiaJqHD9fhY2HixSFBCd8i5zCKnRICIfN1oiyGs9HHLxvdEc8OrGbqiiJBOEuasUQd10QNxQ8H6Gw8WxeS0uXUnAFgvBTKMocQSigsdmJv399EAwDZMWHX/iLwCe/n8Ybm47pkofFAnwx61L0To/WJT0+J4urMfqFjYakTXifzLhwVNU1YfofD6gON6yVYR3j8OG9ww1JmyDEUBLggCtklESZ48IP2c0XXySKCMKzUJQ5gjAJ5bWN2HSkCCt/ycXTXx7AnSt/x9gXN+kmhoCWl/YNy7fg233qw3YrISs+wrSRyQj3ySupaSWGxKJp6cm88V0NSZcg1MJw1hRx/y8UMQ6Qvi8ouAJBBB4kiAhCAQmRdnx4zzB0SowwNJ/axmbc//4OvLohB0YYb6/p3073NAnzIBZumB9NSw9Gdk7AkA5x+idMEArhCyDuv7nucPz7QelkAYkhgggcSBARhEKSHKH48N7h6OyBPX9eWHcYL6w7rHu6k3unUrAFP0co3LARzBvfxZiECUIG1mXNgtYCaMnz2a4/1sojdj8omSww14ICgiCMhAQRQaggMcqOD+4dhm4pUYbntXzzcRwuqNQ1zfhIO0Z3SdQ1TcJc8AdxRgzqLu+aiP6ZsfonTBAKmRM7B3Pi5uDEd6NaCSA+Uv1farKAv0krF9qklSD8DxJEBKGShEg7Vt8zDN1TjQ360exk8OR/9+nuOnd1vzRd0yPMA38QJxVNyx0GtSdXOcIc/OXK7oiyCwfMFbsfWKQerUYFIiEIwpyQICIIDcRFhOCDe4aiZ5qxoui3EyX4YvdZXdMc3yMZ4SbZzJPQl2UvZrcZBBoRZY7cLgmzkOQIxbwJwu6bQveD2skCWkdEEIEB7UNEEBqJCQ/B6ruH4c+f7cW6/QVochrjcP7UF/uRHhuGgVn6zMqHhwRh7rjO+PvXh3RJjzAXrPgJsloQGmxFVb3O5qELaROEWbhtWBY++f00xt6yQzLkPBtOW81kATd8N0EQ/gsJIoJwg+jwYLw6fQAKK+uwZscZfLTtFE6cr9Y1j9KaRtz05q/469W9cNOQTF3SvHdUJ2TEhmPex7tR26j/gJnwPk1OBl2So7Ajr0z3tMlCRJiJIJsVE2/ZAYYTZZFhLkaRY0WPWkup4CatwIX/GMv5qnokRNqNz4ggCADkMkcQupAUFYr7R3fCD/NH48N7h+Ha/u0QEqTf7dXYzOCxNXvx5H/3obHZqUuak3qn4tM/Dke7mDBd0iPMh0FGS7IQEebjwvSuniHnBV3uLvy2tHSpocEV5n+8GwvX7EFRZb1heRAEcRELY8RmJ27gid1oCcITlNc0Yv4nu7D+YKGu6Q7tEIfXpg9AvE6zh+er6nH/e9vx+8lSXdIjzENYsA1NTicam/V9zP/92t64Zag+1kqC0AMxceLuWjrWzQ4Qd51jw4DL4XQyOFNWi6OFlThTVofQICsi7EEID7EhPKTl/xH2IMSFh+BkSTXuXLkNdY1OzLo8G3eMaI/QYFr7SQQmntAGJIgIwkDqm5pxz7vbsflIEQAgNToU+eV1bqfbLiYMb94+ED3Tot1OC2gp5xOf78PHv5/WJT3CPAztEIffTpTomuY/pvXGjYNJEBHmQUgQcV3dAG2iaO6Clo1bpdYRyQmixV8fxG8nSnD0XCWqG+RdlCf3TsWr0wcgr7gGM1dsxfHz1ciIC8OfJ3XHFb1SYKFFTUSA4QltQC5zBGEg9iAblt86EMM7xuORiV2x6ZHLMX98F4TY3Lv1zpTVYtrrv+CrPfpEoLMH2fCPaX2waGoPikDnZ+w5U46EyBBd07R4YhEFQbgBNxgC131u9vwc1Wm5qz8OFlRi16kyRWIIaHm+A0BmfDj+88dLMDArFqdKavHHf+/AjW/+in1nyt0rEEEQbSBBRBAGExZiw3t3DcGsy7MREmTF7LGdsfZPl6J/Zoxb6dY1OvHYf/aiTqegCBaLBXeM6IAtj43FIxO70oJeP6G2oRk333cAcxfkuP60DAq5nK+mdQ2EuWhlpRGIDOeOKHLXj6aHij3rgqyWVhNmsREh+PfdQzGxZzIAYOuJEkx95Sc89p89uu9RRxCBDAkigvAAQTyLUOfkKHx6/yV4ckoPhLnhF15V34T1B8+5W7xWRIcHY9bl2fjp0cvx3HW90TExQtf0Cc8itAZC60w5yzkd3D4JQm9cokjEoqOl//ODKmiBv1+dxdLi9jyycwJuH56FJ6f0wIo7BmPjw5fh0F+vwMf3D291fGiwDa9NH4iuyVGusuw9U06ucwShIxR2myC8hM1qwZ2XdsD4HslYuGYvfso5rymdz3eexZQ+aTqXruUlfNOQTNwwKAOzP9iJtXvzdc+DMB6+GOKGJNbKuQqyEBG+iVhIbjGWvZjdZv8irg5RElBhcPs4PDapGzokRKBDQgQy48JVB0iwWS2tIpcO6aDPvnQEQbRAgoggvExGXDjeu2sIPvn9NP629gAq6ppUnb/pSCFKqxsQG6HvOhEWq9Wi+95KhGcRch9yZ8a7oIIsRIRvILSxqtpJAa5oSo0OxZaFY1WVISW6ZVsGd6lvuugePZQEEUHoCrnMEYQJsFgsuGFwBtbPG40JPZJVndvYzBhqvSmvacTBggrD0ieMhy9+2M/t48M1pVdALnOESRGy2AiJf63eZmFeDDpT33RxD7rB7UkQEYSekCAiCBOR5AjF8tsG4tVbBqiKDPbfXWcMK9O23BK3FxUT3qPNxpKcEMS5xTXITorE4PaxCAtW/jooqKhzhZInCLMxJ3aO609M+Gh9pnkz2Ex9Y4sgyk6K1G0fOoIgWiBBRBAmw2KxYHKfVHz/0Ghc17+donO25ZbidGmNIeX57USxIekSnmHZi9ltRBF3P5acwipsyy2FxWLBoPax6JHqgFXB7Pnfvz6IZicpZcL8iImiZg0BOlOjQ90rjBuwLnO0fogg9IfWEBGESYmNCMFLN/ZDaU0DNhyWn43/766zmHW5+p3Y5dB7U0/C8yjZjLKmoRm/55YCAKJCg9A5KRJOBjhcUIHaRmeb4w8VVOKT30/hpiG0QSvhW7ATA2o3aQWA1OgwnUujnDljO2PxN4do/RBBGABZiAjC5FzWNUnRcZ/vPKP7vhSVdY20CWAAUlnXhB15Zdh1qgxNTga92zkwuH0sEiJDEBsejMy4cHRLicQ3+wrgdLYVSwRhOgRcRrWQFuM9C9HMER3w1exLMSI7wWtlIAh/hQQRQZicUV0SFR13tLAKB/L1D37QLtZ7M6KE92lsZrD3TAW25ZbifFUDSmsakVdSg0MFVYgOC4bVSq8RwrwI7U3EdRlVS6920TqUSjudk6No02yCMABymSMIk9M+PhyZceHIK5FfI/T6xmN45ZYBuuUdFRqMV24egD+88Qsam2m9CNGauy7t4O0iEIQs/Mhzvx4vxrrkfThyrkpVOt1SotA/I0bHkhEEYRZoao8gTI7FYsFohVair/bkY+0efUNw982IwZNTeuiaJuH7DMqKRV8aHBI+yLCO8Vj7p5Hokhyp6rzpw7Jg0RqvmyAIU0OCiCB8AKVucwDw+Od7UVRZr2v+tw1vj3VzR+Ha/u1gUxKCjPB7yDpE+DLBNiuuG5Cu+PiIEBuuVRj1kyAI34MEEUH4AGo20CytacRfPture4CFrilRePnGftgw/zJMH5qJEBs9PgKV9NgwTOiZ4u1iEIRbXNU3TfEGrVf3b4dIO60yIAh/hUY0BOED1DSoC4n03YFz+GynMZu1ZsaH49lre+OnRy/HvaM6IsKLO7cT3mHmJe3JUkj4PGkxYRjWIV7RsbcOzTK4NARBeBNVgmjx4sUYPHgwoqKikJSUhGuuuQaHDx9udcxll10Gi8XS6u/+++/XtdAEEWhUNzSpPufpLw+gpLrBgNK0kOQIxZ+v7I6fHxuDh8Z1QUx4sGF5EeYh0h6EGwdneLsYBKELStzg+mfGoEeaw7AyOJ2M7hZ9giDUoUoQbdq0CbNmzcKvv/6K77//Ho2NjZgwYQKqq6tbHXfPPfcgPz/f9ff888/rWmiCCDRqVVqIAKC8thH//O6w/IFuEhMegjnjOuPnR8fgJhoo+z03DMpAVCiJX8I/uG5AO6x54BI8ekU3XNY1sZVbXGZcOB6f3B0rZw4xtAyf7TyD7k9+iwkvb8Ldq7bhUIH+2ycQBCGNKofYb7/9ttXnlStXIikpCdu3b8eoUaNc34eHhyMlRZl/eX19PerrLy4ALy9v2QSyooIeCATBUlRSBme9fNhtPv/+8RCmdotBTw/tnfHImEwczivE9rxSj+RHeBarBfhD7zh6PhN+RXaMDdkDEjF9QCKamp04VFCBiromDOsQD6vVAjTVoqKi1rD8//PbEdRUVeFQVRUO5QFhaMCz1/Y2LD+C8DXYd46RllQL40bqOTk56Ny5M/bu3YtevXoBaHGZ279/PxiGQUpKCqZOnYonnngC4eHCi8KfeuopPP3001qLQBAEQRAEQRCEn3Ps2DF07NjRkLQ1CyKn04mrrroKZWVl+Omnn1zfv/nmm8jKykJaWhr27NmDRx99FEOGDMGaNWsE0+FbiMrKypCVlYW8vDxER3t3R2hCHRUVFcjIyMCpU6fgcBjnb03oD7Wdb0Lt5rtQ2/ku1Ha+C7Wdb1JeXo7MzEyUlpYiJibGkDw0x5CcNWsW9u3b10oMAcC9997r+nfv3r2RmpqKsWPH4tixY+jUqVObdOx2O+x2e5vvo6OjqbP6KA6Hg9rOR6G2802o3XwXajvfhdrOd6G2802sVuOCY2tK+cEHH8RXX32FDRs2ID1demOzoUOHAmhxryMIgiAIgiAIgjATqixEDMNg9uzZ+Oyzz7Bx40Z06CC/U/muXbsAAKmpqZoKSBAEQRAEQRAEYRSqBNGsWbOwevVq/Pe//0VUVBQKCgoAtLi3hYWF4dixY1i9ejWuvPJKxMfHY8+ePXjooYcwatQo9OnTR1EedrsdixYtEnSjI8wNtZ3vQm3nm1C7+S7Udr4LtZ3vQm3nm3ii3VQFVbBYhHcmX7FiBWbOnIlTp07h1ltvxb59+1BdXY2MjAxce+21ePzxx8lXkyAIgiAIgiAI0+FW2G2CIAiCIAiCIAhfxrhwDQRBEARBEARBECaHBBFBEARBEARBEAELCSKCIAiCIAiCIAIWEkQEQRAEQRAEQQQsXhVEzz77LC655BKEh4cjJiamze/FxcW44oorkJaWBrvdjoyMDDz44IOoqKhoddzGjRsxYMAA2O12ZGdnY+XKlZ65gABFrt12796Nm2++GRkZGQgLC0P37t2xdOnSNsdRu3keubYDgD/96U8YOHAg7HY7+vXrJ3jMnj17MHLkSISGhiIjIwPPP/+8cYUmAChru7y8PEyePBnh4eFISkrCI488gqamplbH0H3nfXbs2IHx48cjJiYG8fHxuPfee1FVVdXqGCVtSXieI0eO4Oqrr0ZCQgIcDgcuvfRSbNiwodUx1HbmYuPGjbBYLIJ/27Ztcx1H7zXzsnbtWgwdOhRhYWGIjY3FNddc0+p3Pe45rwqihoYGXH/99fjjH/8o+LvVasXVV1+NL774AkeOHMHKlSuxfv163H///a5jTpw4gcmTJ+Pyyy/Hrl27MHfuXNx9991Yt26dpy4j4JBrt+3btyMpKQnvv/8+9u/fj7/85S9YuHAhXnnlFdcx1G7eQa7tWO68807ceOONgr9VVFRgwoQJyMrKwvbt2/HCCy/gqaeewptvvmlEkYkLyLVdc3MzJk+ejIaGBvzyyy9YtWoVVq5ciSeffNJ1DN133ufs2bMYN24csrOz8dtvv+Hbb7/F/v37MXPmTNcxStqS8A5TpkxBU1MTfvjhB2zfvh19+/bFlClTXPsyUtuZj0suuQT5+fmt/u6++2506NABgwYNAkDvNTPzn//8B7fddhvuuOMO7N69Gz///DNuueUW1++63XOMCVixYgUTHR2t6NilS5cy6enprs8LFixgevbs2eqYG2+8kZk4caKeRSQEUNNuDzzwAHP55Ze7PlO7eRclbbdo0SKmb9++bb5/7bXXmNjYWKa+vt713aOPPsp07dpV51ISQoi13ddff81YrVamoKDA9d3rr7/OOBwOV1vRfed9li9fziQlJTHNzc2u7/bs2cMAYI4ePcowjLK2JDxPUVERA4DZvHmz67uKigoGAPP9998zDENt5ws0NDQwiYmJzDPPPOP6jt5r5qSxsZFp164d869//Uv0GL3uOZ9aQ3T27FmsWbMGo0ePdn23ZcsWjBs3rtVxEydOxJYtWzxdPEKC8vJyxMXFuT5Tu/kuW7ZswahRoxASEuL6buLEiTh8+DBKS0u9WLLAZsuWLejduzeSk5Nd302cOBEVFRXYv3+/6xi677xLfX09QkJCYLVefP2GhYUBAH766ScAytqS8Dzx8fHo2rUr3n33XVRXV6OpqQnLly9HUlISBg4cCIDazhf44osvUFxcjDvuuMP1Hb3XzMmOHTtw5swZWK1W9O/fH6mpqZg0aRL27dvnOkave84nBNHNN9+M8PBwtGvXDg6HA//6179cvxUUFLSqBABITk5GRUUFamtrPV1UQoBffvkFH330Ee69917Xd9RuvotY27G/Ed5BSbvQfed9xowZg4KCArzwwgtoaGhAaWkpHnvsMQBAfn4+ALrHzIrFYsH69euxc+dOREVFITQ0FC+99BK+/fZbxMbGAqC28wXefvttTJw4Eenp6a7vqN3MyfHjxwEATz31FB5//HF89dVXiI2NxWWXXYaSkhIA+rWd7oLoscceE128xv4dOnRIVZovv/wyduzYgf/+9784duwY5s2bp3exAx4j2g0A9u3bh6uvvhqLFi3ChAkTDCg5YVTbEcZDbec/KG3Lnj17YtWqVXjxxRcRHh6OlJQUdOjQAcnJya2sRoTnUNp2DMNg1qxZSEpKwo8//oitW7fimmuuwdSpU11ilvAcWp6fp0+fxrp163DXXXd5qdQEoLztnE4nAOAvf/kLpk2bhoEDB2LFihWwWCz45JNPdC1TkK6pAZg/f36rxaFCdOzYUVWaKSkpSElJQbdu3RAXF4eRI0fiiSeeQGpqKlJSUnDu3LlWx587dw4Oh8PlhkDIY0S7HThwAGPHjsW9996Lxx9/vNVv1G76YUTbSSHWduxvhHL0bLuUlBRs3bq11Xf8dqH7zjjUtOUtt9yCW265BefOnUNERAQsFgteeukl1+9K2pLQD6Vt98MPP+Crr75CaWkpHA4HAOC1117D999/j1WrVuGxxx6jtvMgWp6fK1asQHx8PK666qpW39N7zbMobTt2oqFHjx6u7+12Ozp27Ii8vDwA+j0vdRdEiYmJSExM1DtZF6xarK+vBwAMHz4cX3/9datjvv/+ewwfPtywMvgjerfb/v37MWbMGMyYMQPPPvtsm9+p3fTD6HuOz/Dhw/GXv/wFjY2NCA4OBtDSdl27dnW5jRDK0LPthg8fjmeffRaFhYVISkoC0NIuDofD9TKh+844tLQl69bxzjvvIDQ0FOPHjwegrC0J/VDadjU1NQDQxpJntVpdYxNqO8+h9p5jGAYrVqzA7bff7np3sdB7zbMobTt2C5DDhw/j0ksvBQA0NjYiNzcXWVlZAHS859wI/uA2J0+eZHbu3Mk8/fTTTGRkJLNz505m586dTGVlJcMwDLN27VrmnXfeYfbu3cucOHGC+eqrr5ju3bszI0aMcKVx/PhxJjw8nHnkkUeYgwcPMq+++ipjs9mYb7/91luX5ffItdvevXuZxMRE5tZbb2Xy8/Ndf4WFha40qN28g1zbMQzDHD16lNm5cydz3333MV26dHEdw0ZrKSsrY5KTk5nbbruN2bdvH/Phhx8y4eHhzPLly711WQGBXNs1NTUxvXr1YiZMmMDs2rWL+fbbb5nExERm4cKFrjTovjMHy5YtY7Zv384cPnyYeeWVV5iwsDBm6dKlrt+VtCXheYqKipj4+HjmuuuuY3bt2sUcPnyYefjhh5ng4GBm165dDMNQ25mZ9evXMwCYgwcPtvmN3mvmZc6cOUy7du2YdevWMYcOHWLuuusuJikpiSkpKWEYRr97zquCaMaMGQyANn8bNmxgGIZhfvjhB2b48OFMdHQ0ExoaynTu3Jl59NFHmdLS0lbpbNiwgenXrx8TEhLCdOzYkVmxYoXHryWQkGu3RYsWCf6elZXVKh1qN88j13YMwzCjR48WPObEiROuY3bv3s1ceumljN1uZ9q1a8c899xznr+YAENJ2+Xm5jKTJk1iwsLCmISEBGb+/PlMY2Njq3TovvM+t912GxMXF8eEhIQwffr0Yd599902xyhpS8LzbNu2jZkwYQITFxfHREVFMcOGDWO+/vrrVsdQ25mTm2++mbnkkktEf6f3mjlpaGhg5s+fzyQlJTFRUVHMuHHjmH379rU6Ro97zsIwDKPcnkQQBEEQBEEQBOE/UEgbgiAIgiAIgiACFhJEBEEQBEEQBEEELCSICIIgCIIgCIIIWEgQEQRBEARBEAQRsJAgIgiCIAiCIAgiYCFBRBAEQRAEQRBEwEKCiCAIgiAIgiCIgIUEEUEQBEEQBEEQAQsJIoIgCIIgCIIgAhYSRARBEARBEARBBCwkiAiCIAiCIAiCCFj+H5kPWkopuPtQAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Mapa de compras no fraudulentas\n",
    "data_no_fraud = data[data['is_fraud']==0]\n",
    "geometry = [Point(xy) for xy in zip(data_no_fraud['long'], data_no_fraud['lat'])]\n",
    "gdf = GeoDataFrame(data_no_fraud, geometry=geometry)\n",
    "world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'));\n",
    "ax = world.plot(figsize=(10, 6))\n",
    "gdf.plot(ax=ax, marker='o', color='lightgreen', markersize=15)\n",
    "ax.set_xlim(-130, -60)\n",
    "ax.set_ylim(25, 50)\n",
    "ax.set_title('Compras no fraudulentas')\n",
    "\n",
    "# Mapa de compras fraudulentas\n",
    "data_fraud = data[data['is_fraud']==1]\n",
    "geometry = [Point(xy) for xy in zip(data_fraud['long'], data_fraud['lat'])]\n",
    "gdf = GeoDataFrame(data_fraud, geometry=geometry)\n",
    "world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n",
    "ax = world.plot(figsize=(10, 6))\n",
    "gdf.plot(ax=ax, marker='o', color='red', markersize=15);\n",
    "ax.set_xlim(-130, -60)\n",
    "ax.set_ylim(25, 50)\n",
    "ax.set_title('Compras fraudulentas');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "zvrPt7CLuZBf"
   },
   "source": [
    "Observamos a simple vista que la mayoría de las compras fraudulentas ocurren en los estados del este de Estados Unidos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 699
    },
    "executionInfo": {
     "elapsed": 1146,
     "status": "ok",
     "timestamp": 1719768499591,
     "user": {
      "displayName": "Franco Giordano",
      "userId": "11864357500095360887"
     },
     "user_tz": 180
    },
    "id": "5Ve4jlxLzcRF",
    "outputId": "250861db-a1e1-4766-fe89-7fe115a69e60"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cat_sin_fraude = data[data['is_fraud']==0].groupby('state').size().sort_values()\n",
    "cat_con_fraude = data[data['is_fraud']==1].groupby('state').size().sort_values()\n",
    "\n",
    "fig, ax = plt.subplots(2, 1, figsize=(15,8))\n",
    "ax[0].bar(x=cat_sin_fraude.index, height=cat_sin_fraude, color='green')\n",
    "ax[0].set_title('Compras no fraudulentas por estado')\n",
    "ax[1].bar(x=cat_con_fraude.index, height=cat_con_fraude, color='pink')\n",
    "ax[1].set_title('Compras fraudulentas por estado')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "1_l_kOID56Sj"
   },
   "source": [
    "Graficando la distribución por estado, vemos que las proporciones se mantienen."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "zpYWEHi4eEKX"
   },
   "source": [
    "### 8. ¿En qué trabajan los usuarios de las tarjetas de crédito?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 699
    },
    "executionInfo": {
     "elapsed": 833,
     "status": "ok",
     "timestamp": 1719768500411,
     "user": {
      "displayName": "Franco Giordano",
      "userId": "11864357500095360887"
     },
     "user_tz": 180
    },
    "id": "OFhUKqVzVZH5",
    "outputId": "aef593a4-8829-4fb5-fab3-023dc23868da"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cat_sin_fraude = data[data['is_fraud']==0].groupby('job').size().nlargest(n=10, keep='first').sort_values()\n",
    "cat_con_fraude = data[data['is_fraud']==1].groupby('job').size().nlargest(n=10, keep='first').sort_values()\n",
    "\n",
    "fig, ax = plt.subplots(2, 1, figsize=(6,8))\n",
    "ax[0].barh(y=cat_sin_fraude.index, width=cat_sin_fraude, color='green')\n",
    "ax[0].set_title('Compras no fraudulentas por trabajo (TOP 10)')\n",
    "ax[1].barh(y=cat_con_fraude.index, width=cat_con_fraude, color='pink')\n",
    "ax[1].set_title('Compras fraudulentas por trabajo (TOP 10)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Rbl21-aYowCU"
   },
   "source": [
    "Observamos que, si bien los ingenieros, terapeutas y diseñadores son los roles que más cometieron fraude, estos roles también fueron los que más transacciones hicieron en total. En conclusión, las distribuciones se mantienen y no hay un cambio significativo entre ambos gráficos."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "0t5EWFVZN4H0"
   },
   "source": [
    "## **Feature Engineering**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "bedLHyPx1_xh"
   },
   "source": [
    "Con el fin de que nuestros modelos puedan utilizar todas las columnas, realizaremos las siguientes modificaciones a nuestro dataset:\n",
    "\n",
    "1. **Implementar One-Hot Encoding en las columnas género, categoría de compra y ocupaciones**: para las dos últimas columnas, implementaremos el mismo en base al TOP 10 de cada columna, sumando una columna 'others' para aquellos casos que no entren en el top.\n",
    "\n",
    "2. **Implementar Label Encoding para cada trimestre**: En base a las fechas de transacciones, catalogaremos los trimestres en una nueva columna, siendo de menor valor numérico aquellos trimestres más antiguos.\n",
    "\n",
    "3. **Implementar Cyclic Encoding para los días y horas**: Imputaremos el seno y coseno para los días y horas, teniendo en cuenta un ciclo de 7 días y un ciclo de 24 horas respectivamente.\n",
    "\n",
    "4. **Eliminar las columnas no aptas para entrenar**: Estas consisten principalmente de columnas ya procesadas o que no entregan valor al dataset (como el ID de transacción). También se eliminan las columnas relacionadas a la ubicación del cliente exceptuando la latitud y longitud, para evitar correlación entre features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "9fyJknU1I8W2"
   },
   "outputs": [],
   "source": [
    "def feature_engineering(df):\n",
    "\n",
    "    ###################\n",
    "    # ONE-HOT ENCODING\n",
    "    ###################\n",
    "\n",
    "    # Columna género\n",
    "    df[\"gender\"] = df[\"gender\"].apply(lambda x: 1 if x == \"M\" else 0)\n",
    "\n",
    "    # Columna categorias de compras\n",
    "    top_10_categories = df['category'].value_counts().nlargest(10).index\n",
    "    df['category'] = df['category'].apply(lambda x: x if x in top_10_categories else 'other')\n",
    "    df = pd.get_dummies(df, columns=[\"category\"])\n",
    "\n",
    "    # Columna Ocupación\n",
    "    top_10_jobs = df['job'].value_counts().nlargest(n=10, keep='first').index\n",
    "    df['job'] = df['job'].apply(lambda x: x if x in top_10_jobs else 'other')\n",
    "    df = pd.get_dummies(df, columns=[\"job\"])\n",
    "\n",
    "    # Reemplazar todos los True por 1 y False por 0 en las columnas que agregamos con get_dummies\n",
    "    df.replace({True: 1, False: 0}, inplace=True)\n",
    "\n",
    "    ###################\n",
    "    # LABEL ENCODING\n",
    "    ###################\n",
    "\n",
    "    # Columna trimestre\n",
    "    df['trimestre'] = df['fecha_trans'].apply(lambda x: (x.month - 1) // 3 + 1)\n",
    "\n",
    "    ###################\n",
    "    # CYCLIC ENCODING\n",
    "    ###################\n",
    "\n",
    "    # Columna día\n",
    "    df['dia_sin'] = np.sin(pd.to_datetime(df['fecha_trans']).dt.dayofweek*2*np.pi/7)\n",
    "    df['dia_cos'] = np.cos(pd.to_datetime(df['fecha_trans']).dt.dayofweek*2*np.pi/7)\n",
    "\n",
    "    # Columna hora\n",
    "    df['hora_sin'] = np.sin(df['hora_trans']*2*np.pi/24)\n",
    "    df['hora_cos'] = np.cos(df['hora_trans']*2*np.pi/24)\n",
    "\n",
    "    ###########################\n",
    "    # ELIMINACIÓN DE COLUMNAS\n",
    "    ###########################\n",
    "\n",
    "    # Drop de columnas que no se usarán en el modelo\n",
    "    df = df.drop([\"state\", \"fecha_trans\", 'hora_trans', 'dia_semana', 'cc_num',\n",
    "                  'trans_num', 'first', 'last', 'merchant', 'street', 'zip', 'city', 'unix_time',\n",
    "                  'trans_date_trans_time', 'dob'], axis=1)\n",
    "\n",
    "    return df\n",
    "\n",
    "data_fe = feature_engineering(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "7XQvpxIw6M39"
   },
   "source": [
    "Nuestro dataset final es el siguiente:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 342
    },
    "executionInfo": {
     "elapsed": 52,
     "status": "ok",
     "timestamp": 1719768509255,
     "user": {
      "displayName": "Franco Giordano",
      "userId": "11864357500095360887"
     },
     "user_tz": 180
    },
    "id": "VKsF3UKu6QBn",
    "outputId": "cc3bcaff-7be6-4cf8-828b-1bd60ca19484"
   },
   "outputs": [
    {
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       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>amt</th>\n",
       "      <th>gender</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>city_pop</th>\n",
       "      <th>merch_lat</th>\n",
       "      <th>merch_long</th>\n",
       "      <th>is_fraud</th>\n",
       "      <th>edad</th>\n",
       "      <th>category_entertainment</th>\n",
       "      <th>...</th>\n",
       "      <th>job_psychologist</th>\n",
       "      <th>job_scientist</th>\n",
       "      <th>job_surveyor</th>\n",
       "      <th>job_teacher</th>\n",
       "      <th>job_therapist</th>\n",
       "      <th>trimestre</th>\n",
       "      <th>dia_sin</th>\n",
       "      <th>dia_cos</th>\n",
       "      <th>hora_sin</th>\n",
       "      <th>hora_cos</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.86</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0.62349</td>\n",
       "      <td>1.224647e-16</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>29.84</td>\n",
       "      <td>0</td>\n",
       "      <td>40.3207</td>\n",
       "      <td>-110.4360</td>\n",
       "      <td>302</td>\n",
       "      <td>39.450498</td>\n",
       "      <td>-109.960431</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
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       "      <td>1.224647e-16</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>41.28</td>\n",
       "      <td>0</td>\n",
       "      <td>40.6729</td>\n",
       "      <td>-73.5365</td>\n",
       "      <td>34496</td>\n",
       "      <td>40.495810</td>\n",
       "      <td>-74.196111</td>\n",
       "      <td>0</td>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
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       "      <td>0.62349</td>\n",
       "      <td>1.224647e-16</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>60.05</td>\n",
       "      <td>1</td>\n",
       "      <td>28.5697</td>\n",
       "      <td>-80.8191</td>\n",
       "      <td>54767</td>\n",
       "      <td>28.812398</td>\n",
       "      <td>-80.883061</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "      <td>0</td>\n",
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       "      <td>-1.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3.19</td>\n",
       "      <td>1</td>\n",
       "      <td>44.2529</td>\n",
       "      <td>-85.0170</td>\n",
       "      <td>1126</td>\n",
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       "      <td>-85.884734</td>\n",
       "      <td>0</td>\n",
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       "      <td>-1.0</td>\n",
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       "</table>\n",
       "<p>5 rows × 36 columns</p>\n",
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       "    animation:\n",
       "      spin 1s steps(1) infinite;\n",
       "  }\n",
       "\n",
       "  @keyframes spin {\n",
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       "      border-color: transparent;\n",
       "      border-bottom-color: var(--fill-color);\n",
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       "        const charts = await google.colab.kernel.invokeFunction(\n",
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       "  </script>\n",
       "</div>\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "text/plain": [
       "     amt  gender      lat      long  city_pop  merch_lat  merch_long  \\\n",
       "0   2.86       1  33.9659  -80.9355    333497  33.986391  -81.200714   \n",
       "1  29.84       0  40.3207 -110.4360       302  39.450498 -109.960431   \n",
       "2  41.28       0  40.6729  -73.5365     34496  40.495810  -74.196111   \n",
       "3  60.05       1  28.5697  -80.8191     54767  28.812398  -80.883061   \n",
       "4   3.19       1  44.2529  -85.0170      1126  44.959148  -85.884734   \n",
       "\n",
       "   is_fraud  edad  category_entertainment  ...  job_psychologist  \\\n",
       "0         0    52                       0  ...                 0   \n",
       "1         0    30                       0  ...                 0   \n",
       "2         0    49                       0  ...                 0   \n",
       "3         0    32                       0  ...                 0   \n",
       "4         0    64                       0  ...                 0   \n",
       "\n",
       "   job_scientist  job_surveyor  job_teacher  job_therapist  trimestre  \\\n",
       "0              0             0            0              0          2   \n",
       "1              0             0            0              0          2   \n",
       "2              0             0            0              0          2   \n",
       "3              0             0            0              0          2   \n",
       "4              0             0            0              0          2   \n",
       "\n",
       "    dia_sin  dia_cos      hora_sin  hora_cos  \n",
       "0 -0.781831  0.62349  1.224647e-16      -1.0  \n",
       "1 -0.781831  0.62349  1.224647e-16      -1.0  \n",
       "2 -0.781831  0.62349  1.224647e-16      -1.0  \n",
       "3 -0.781831  0.62349  1.224647e-16      -1.0  \n",
       "4 -0.781831  0.62349  1.224647e-16      -1.0  \n",
       "\n",
       "[5 rows x 36 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_fe.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 30,
     "status": "ok",
     "timestamp": 1719768509256,
     "user": {
      "displayName": "Franco Giordano",
      "userId": "11864357500095360887"
     },
     "user_tz": 180
    },
    "id": "-XZACDdE6W4Q",
    "outputId": "75006db5-075f-427e-aea6-a7be7d2a24bc"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 555719 entries, 0 to 555718\n",
      "Data columns (total 36 columns):\n",
      " #   Column                   Non-Null Count   Dtype  \n",
      "---  ------                   --------------   -----  \n",
      " 0   amt                      555719 non-null  float64\n",
      " 1   gender                   555719 non-null  int64  \n",
      " 2   lat                      555719 non-null  float64\n",
      " 3   long                     555719 non-null  float64\n",
      " 4   city_pop                 555719 non-null  int64  \n",
      " 5   merch_lat                555719 non-null  float64\n",
      " 6   merch_long               555719 non-null  float64\n",
      " 7   is_fraud                 555719 non-null  int64  \n",
      " 8   edad                     555719 non-null  int64  \n",
      " 9   category_entertainment   555719 non-null  int64  \n",
      " 10  category_food_dining     555719 non-null  int64  \n",
      " 11  category_gas_transport   555719 non-null  int64  \n",
      " 12  category_grocery_pos     555719 non-null  int64  \n",
      " 13  category_health_fitness  555719 non-null  int64  \n",
      " 14  category_home            555719 non-null  int64  \n",
      " 15  category_kids_pets       555719 non-null  int64  \n",
      " 16  category_other           555719 non-null  int64  \n",
      " 17  category_personal_care   555719 non-null  int64  \n",
      " 18  category_shopping_net    555719 non-null  int64  \n",
      " 19  category_shopping_pos    555719 non-null  int64  \n",
      " 20  job_administrator        555719 non-null  int64  \n",
      " 21  job_designer             555719 non-null  int64  \n",
      " 22  job_engineer             555719 non-null  int64  \n",
      " 23  job_film/video editor    555719 non-null  int64  \n",
      " 24  job_librarian            555719 non-null  int64  \n",
      " 25  job_other                555719 non-null  int64  \n",
      " 26  job_psychologist         555719 non-null  int64  \n",
      " 27  job_scientist            555719 non-null  int64  \n",
      " 28  job_surveyor             555719 non-null  int64  \n",
      " 29  job_teacher              555719 non-null  int64  \n",
      " 30  job_therapist            555719 non-null  int64  \n",
      " 31  trimestre                555719 non-null  int64  \n",
      " 32  dia_sin                  555719 non-null  float64\n",
      " 33  dia_cos                  555719 non-null  float64\n",
      " 34  hora_sin                 555719 non-null  float64\n",
      " 35  hora_cos                 555719 non-null  float64\n",
      "dtypes: float64(9), int64(27)\n",
      "memory usage: 156.9 MB\n"
     ]
    }
   ],
   "source": [
    "data_fe.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "0JMI6benKIgc"
   },
   "source": [
    "## **Train Test Split**\n",
    "\n",
    "Dividiremos el dataset en dos partes, una siendo los datos de entrenamiento (que abarcarán el 80% de los registros), y otra siendo los datos de test, para evaluar los modelos.\n",
    "\n",
    "Implementaremos el parámetro **stratify**, el cual nos permitirá mantener la distribución de registros con y sin fraude en ambos dataframes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "Hd_ubEeN7JjN"
   },
   "outputs": [],
   "source": [
    "# División del conjunto de entrenamiento y test\n",
    "df_train, df_test = train_test_split(data_fe, test_size=0.2, random_state=7, stratify=data_fe['is_fraud'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3pCexCxG0w9u"
   },
   "source": [
    "## **Oversampling**\n",
    "\n",
    "Ante la problemática del desbalance de datos que sufre el dataset, decidimos aplicar oversampling sobre los registros con fraude, de tal forma que el total sea igual que los registros sin fraude, y los modelos de Machine Learning no ignoren a los mismos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "Mk6tBEROKL75"
   },
   "outputs": [],
   "source": [
    "# Sobremuestreo para equiparar la desigualdad\n",
    "df_train_con_fraude = df_train[df_train[\"is_fraud\"]==1]\n",
    "df_train_sin_fraude = df_train[df_train[\"is_fraud\"]==0]\n",
    "df_train_con_fraude_sobremuestreado = df_train_con_fraude.sample(n=len(df_train_sin_fraude), replace=True, random_state=7);\n",
    "df_train_sobremuestreado = pd.concat([df_train_sin_fraude, df_train_con_fraude_sobremuestreado])\n",
    "\n",
    "# División X, y (X son todas las columnas que no son la objetivo, y es la objetivo)\n",
    "X_train_sobremuestreo = df_train_sobremuestreado.drop('is_fraud', axis=1)\n",
    "y_train_sobremuestreo = df_train_sobremuestreado['is_fraud']\n",
    "X_test = df_test.drop('is_fraud', axis=1)\n",
    "y_test = df_test['is_fraud']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "_9CP_meO-kpp"
   },
   "source": [
    "## **Selección de Modelos de Machine Learning**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "_0VQPzMY-853"
   },
   "source": [
    "Con la finalidad de encontrar el modelo que mejor se ajusta a nuestro problema, y sumado al interés de practicar los algoritmos más comunes, definimos que los modelos de Machine Learning que vamos a utilizar son:\n",
    "\n",
    "1. Logistic Regression\n",
    "2. Decision Tree\n",
    "3. Random Forest\n",
    "4. Gradient Bostiing\n",
    "5. XGBoost\n",
    "\n",
    "La información sobre cada uno se detalla en el informe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "nTThoYf2_XXE"
   },
   "outputs": [],
   "source": [
    "modelos = {\n",
    "    'Logistic Regression': LogisticRegression(random_state=7),\n",
    "    'Gradient Boosting': GradientBoostingClassifier(random_state=7),\n",
    "    'Decision Tree': DecisionTreeClassifier(random_state=7),\n",
    "    'Random Forest': RandomForestClassifier(random_state=7),\n",
    "    'XGBoost': xgb.XGBClassifier(random_state=7)\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "z7CwfRqB_Luq"
   },
   "source": [
    "## **Métricas a utilizar**\n",
    "\n",
    "Para la selección del mejor modelo, no podemos depender de métricas como el accuracy o ROC AUC, ya que ambas no responden bien cuando hay datos desbalanceados.\n",
    "\n",
    "Tampoco podemos utilizar el F1-Score, ya que un valor alto del mismo no siempre significa un mejor modelo, especialmente en los modelos de detección de fraude.\n",
    "\n",
    "Por ende, utilizaremos la precision y el recall, y nuestra mejor herramienta en este caso es la curva de precision-recall."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "aztQj-Fh_Q9p"
   },
   "source": [
    "## **Entrenamiento de Modelos**\n",
    "\n",
    "Definimos un pipeline común de entrenamiento, que nos retornará el modelo ajustado, las predicciones correspondientes, y las métricas, para luego ser comparado entre cada modelo."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "W2yR4fkMBwu0"
   },
   "outputs": [],
   "source": [
    "def entrenar_modelo(modelo, X_train, y_train, X_test, y_test):\n",
    "\n",
    "    # Inicio tiempo entrenamiento\n",
    "    start = time()\n",
    "\n",
    "    # Ajustar el modelo\n",
    "    modelo.fit(X_train, y_train)\n",
    "    y_pred = modelo.predict(X_test)\n",
    "\n",
    "    # Predecir probabilidades\n",
    "    y_pred_proba = modelo.predict_proba(X_test)[:, 1]\n",
    "\n",
    "    # Calcular precision-recall curve\n",
    "    precisions, recalls, thresholds = precision_recall_curve(y_test, y_pred_proba)\n",
    "\n",
    "    # Fin tiempo entrenamiento\n",
    "    end = time()\n",
    "    tiempo_entrenamiento = end - start\n",
    "\n",
    "    # Resultados\n",
    "    resultado = {\n",
    "        'modelo': modelo,\n",
    "        'y_pred': y_pred,\n",
    "        'y_pred_proba': y_pred_proba,\n",
    "        'precisions': precisions,\n",
    "        'recalls': recalls,\n",
    "        'thresholds': thresholds,\n",
    "        'tiempo_entrenamiento': tiempo_entrenamiento\n",
    "    }\n",
    "\n",
    "    return resultado"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "background_save": true
    },
    "id": "e9ptfJJkC7xd"
   },
   "outputs": [],
   "source": [
    "resultados = {}\n",
    "for modelo in modelos:\n",
    "  resultados[modelo] = entrenar_modelo(modelos[modelo], X_train_sobremuestreo, y_train_sobremuestreo, X_test, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "JnaFXUzl1Fzi"
   },
   "source": [
    "## **Resultados**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "background_save": true
    },
    "id": "2PTSZjrBD0Z5",
    "outputId": "8d9dbe48-1610-4e79-975d-28f343463d5f"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 2, figsize=(18, 5))\n",
    "fig.suptitle('Resultados de Entrenamiento', fontweight='bold')\n",
    "\n",
    "# Gráfico de precision-recall curve\n",
    "for modelo in resultados:\n",
    "    ax[0].plot(resultados[modelo]['recalls'], resultados[modelo]['precisions'], lw=2, label=modelo)\n",
    "    ax[0].plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')\n",
    "    ax[0].set_xlim([0.0, 1.0])\n",
    "    ax[0].set_ylim([0.0, 1.05])\n",
    "    ax[0].set_xlabel('Recall')\n",
    "    ax[0].set_ylabel('Precision')\n",
    "    ax[0].set_title('Precision - Recall curve')\n",
    "ax[0].legend(loc='lower left')\n",
    "\n",
    "# Gráfico de tiempos de entrenamiento\n",
    "tiempos = pd.DataFrame({\n",
    "    'modelo': list(resultados.keys()),\n",
    "    'tiempo_entrenamiento': [resultados[modelo]['tiempo_entrenamiento'] for modelo in resultados]\n",
    "}).sort_values('tiempo_entrenamiento', ascending=False)\n",
    "ax[1].set_title('Tiempos de entrenamiento')\n",
    "ax[1].bar(tiempos['modelo'], tiempos['tiempo_entrenamiento'])\n",
    "ax[1].set_title('Tiempos de entrenamiento')\n",
    "ax[1].set_xlabel('Modelo')\n",
    "ax[1].set_ylabel('Tiempo (s)');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "9g4mua8vKvcR"
   },
   "source": [
    "Podemos observar que el modelo de XGBoost fue el que mejor performó entre todos los modelos, con un tiempo de entrenamiento muy bajo.\n",
    "\n",
    "Procedemos a graficar la precision y el recall de XGBoost en base a cada umbral de decision."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "background_save": true
    },
    "id": "SbAiwheSMEv_",
    "outputId": "5883e927-4a47-4181-e053-ef7ffbc0a966"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(5, 5))\n",
    "ax.plot(resultados['XGBoost']['thresholds'], resultados['XGBoost']['precisions'][1:], label='Precision')\n",
    "ax.plot(resultados['XGBoost']['thresholds'], resultados['XGBoost']['recalls'][1:], label='Recall')\n",
    "ax.axvline(x=0.89, color='g', linestyle='--', label='Umbral=0.89')\n",
    "ax.axvline(x=0.2, color='purple', linestyle='--', label='Umbral=0.2')\n",
    "ax.set_title('Precision y Recall por umbral')\n",
    "ax.set_xlabel('Umbral')\n",
    "ax.set_ylabel('Valor')\n",
    "ax.legend();\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "niD2WdUIWStJ"
   },
   "source": [
    "Para cada umbral de decisión marcado, vamos a graficar la matriz de confusión."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "background_save": true
    },
    "id": "U8AmlxPqOa1w",
    "outputId": "1efcc798-8372-4fc4-b249-84f0189b775a"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "umbrales = [0.89, 0.2]\n",
    "fig, ax = plt.subplots(1, 2, figsize=(10, 5))\n",
    "fig.suptitle('Matriz de Confusión', fontweight='bold')\n",
    "for i, umbral in enumerate(umbrales):\n",
    "    y_pred = (resultados['XGBoost']['y_pred_proba'] > umbral).astype(int)\n",
    "    cm = confusion_matrix(y_test, y_pred)\n",
    "    sns.heatmap(cm, annot=True, linewidths=.5, square=True, cmap='coolwarm', cbar=False, fmt='g', ax=ax[i])\n",
    "    ax[i].set_title(f'Umbral={umbral}')\n",
    "    ax[i].set_xlabel('Predicción')\n",
    "    ax[i].set_ylabel('Real')\n",
    "    ax[i].set_xticklabels(['No Fraude', 'Fraude'])\n",
    "    ax[i].set_yticklabels(['No Fraude', 'Fraude'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "eRxERiY2XO_b"
   },
   "source": [
    "Como se observa tanto en la curva como en la matriz, a un umbral de decisión mayor, disminuimos la cantidad de falsos positivos, pero aumentos los falsos negativos (es decir, la capacidad de detectar transacciones fraudulentas disminuye)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "_qqRfej7K9ND"
   },
   "source": [
    "## **Conclusiones**\n",
    "\n",
    "Podemos concluir que si bien llegamos a un modelo dentro de todo performante, al final del día la decisión de cómo va a funcionar depende mucho del contexto de la empresa de fraude que solicite este sistema.\n",
    "\n",
    "Si la empresa está **\"enfocada en el usuario\"**, entonces irá por un umbral balanceado (como por ej. 0.89), de tal forma de detectar gran parte de las transacciones fraudulentas, pero sobre todo para no generar muchos falsos positivos, lo que se podría traducir en posibles reclamos por transacciones legítimas.\n",
    "\n",
    "Por otro lado, si la empresa está **\"enfocada en el fraude\"**, entonces irá por un umbral de decisión menor, de tal forma de priorizar la detección de transacciones fraudulentas, dejando en segundo plano la cantidad de falsos positivos que éste puede generar."
   ]
  }
 ],
 "metadata": {
  "colab": {
   "provenance": []
  },
  "kernelspec": {
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