{
 "nbformat": 4,
 "nbformat_minor": 5,
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "name": "python",
   "version": "3"
  }
 },
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Classificação com árvore de decisão — Iris\n",
    "\n",
    "Material introdutório — Prof. Alex Souza\n",
    "\n",
    "Pergunta: a qual espécie uma flor pertence? Classificação prevê uma categoria conhecida. A árvore aprende perguntas sobre medidas. Uma árvore rasa permite visualizar regras e limita a complexidade. Não exige padronização."
   ],
   "id": "celula-000"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Como executar\n",
    "Abra no Jupyter ou Google Colab e execute as células na ordem. As bases vêm no scikit-learn; não há download externo de dados. O CSV correspondente também acompanha este material. Instale as bibliotecas apenas se necessário."
   ],
   "id": "celula-001"
  },
  {
   "cell_type": "code",
   "metadata": {},
   "source": [
    "# Execute esta linha se as bibliotecas não estiverem instaladas.\n",
    "# %pip install scikit-learn pandas matplotlib\n",
    "import sklearn\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "print(\"Versão do scikit-learn:\", sklearn.__version__)"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Versão do scikit-learn: 1.8.0\n"
     ]
    }
   ],
   "execution_count": 1,
   "id": "celula-002"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fonte e dicionário de dados\n",
    "\n",
    "150 flores; quatro medidas em centímetros; três espécies, com 50 amostras cada.\n",
    "\n",
    "| Coluna | Significado |\n",
    "|---|---|\n",
    "| sepal length (cm) | Comprimento da sépala |\n",
    "| sepal width (cm) | Largura da sépala |\n",
    "| petal length (cm) | Comprimento da pétala |\n",
    "| petal width (cm) | Largura da pétala |\n",
    "| target | Espécie: 0=setosa, 1=versicolor, 2=virginica |"
   ],
   "id": "celula-003"
  },
  {
   "cell_type": "code",
   "metadata": {},
   "source": [
    "from sklearn.datasets import load_iris\n",
    "# Carrega os dados locais distribuídos com o scikit-learn.\n",
    "base = load_iris(as_frame=True)\n",
    "dados = base.frame.copy()\n",
    "# Consulte também o CSV incluído: pd.read_csv(\"01_classificacao_iris.csv\")\n",
    "print(\"Linhas e colunas:\", dados.shape)\n",
    "print(dados.head().to_string())\n",
    "print(\"Ausentes por coluna:\\n\", dados.isna().sum())"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Linhas e colunas: (150, 5)\n",
      "   sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)  target\n",
      "0                5.1               3.5                1.4               0.2       0\n",
      "1                4.9               3.0                1.4               0.2       0\n",
      "2                4.7               3.2                1.3               0.2       0\n",
      "3                4.6               3.1                1.5               0.2       0\n",
      "4                5.0               3.6                1.4               0.2       0\n",
      "Ausentes por coluna:\n",
      " sepal length (cm)    0\n",
      "sepal width (cm)     0\n",
      "petal length (cm)    0\n",
      "petal width (cm)     0\n",
      "target               0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "execution_count": 2,
   "id": "celula-004"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Descrição original da fonte\n",
    "A descrição abaixo preserva as referências e observações distribuídas com a base."
   ],
   "id": "celula-005"
  },
  {
   "cell_type": "code",
   "metadata": {},
   "source": [
    "print(base.DESCR)"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      ".. _iris_dataset:\n",
      "\n",
      "Iris plants dataset\n",
      "--------------------\n",
      "\n",
      "**Data Set Characteristics:**\n",
      "\n",
      ":Number of Instances: 150 (50 in each of three classes)\n",
      ":Number of Attributes: 4 numeric, predictive attributes and the class\n",
      ":Attribute Information:\n",
      "    - sepal length in cm\n",
      "    - sepal width in cm\n",
      "    - petal length in cm\n",
      "    - petal width in cm\n",
      "    - class:\n",
      "            - Iris-Setosa\n",
      "            - Iris-Versicolour\n",
      "            - Iris-Virginica\n",
      "\n",
      ":Summary Statistics:\n",
      "\n",
      "============== ==== ==== ======= ===== ====================\n",
      "                Min  Max   Mean    SD   Class Correlation\n",
      "============== ==== ==== ======= ===== ====================\n",
      "sepal length:   4.3  7.9   5.84   0.83    0.7826\n",
      "sepal width:    2.0  4.4   3.05   0.43   -0.4194\n",
      "petal length:   1.0  6.9   3.76   1.76    0.9490  (high!)\n",
      "petal width:    0.1  2.5   1.20   0.76    0.9565  (high!)\n",
      "============== ==== ==== ======= ===== ====================\n",
      "\n",
      ":Missing Attribute Values: None\n",
      ":Class Distribution: 33.3% for each of 3 classes.\n",
      ":Creator: R.A. Fisher\n",
      ":Donor: Michael Marshall (MARSHALL%PLU@io.arc.nasa.gov)\n",
      ":Date: July, 1988\n",
      "\n",
      "The famous Iris database, first used by Sir R.A. Fisher. The dataset is taken\n",
      "from Fisher's paper. Note that it's the same as in R, but not as in the UCI\n",
      "Machine Learning Repository, which has two wrong data points.\n",
      "\n",
      "This is perhaps the best known database to be found in the\n",
      "pattern recognition literature.  Fisher's paper is a classic in the field and\n",
      "is referenced frequently to this day.  (See Duda & Hart, for example.)  The\n",
      "data set contains 3 classes of 50 instances each, where each class refers to a\n",
      "type of iris plant.  One class is linearly separable from the other 2; the\n",
      "latter are NOT linearly separable from each other.\n",
      "\n",
      ".. dropdown:: References\n",
      "\n",
      "  - Fisher, R.A. \"The use of multiple measurements in taxonomic problems\"\n",
      "    Annual Eugenics, 7, Part II, 179-188 (1936); also in \"Contributions to\n",
      "    Mathematical Statistics\" (John Wiley, NY, 1950).\n",
      "  - Duda, R.O., & Hart, P.E. (1973) Pattern Classification and Scene Analysis.\n",
      "    (Q327.D83) John Wiley & Sons.  ISBN 0-471-22361-1.  See page 218.\n",
      "  - Dasarathy, B.V. (1980) \"Nosing Around the Neighborhood: A New System\n",
      "    Structure and Classification Rule for Recognition in Partially Exposed\n",
      "    Environments\".  IEEE Transactions on Pattern Analysis and Machine\n",
      "    Intelligence, Vol. PAMI-2, No. 1, 67-71.\n",
      "  - Gates, G.W. (1972) \"The Reduced Nearest Neighbor Rule\".  IEEE Transactions\n",
      "    on Information Theory, May 1972, 431-433.\n",
      "  - See also: 1988 MLC Proceedings, 54-64.  Cheeseman et al\"s AUTOCLASS II\n",
      "    conceptual clustering system finds 3 classes in the data.\n",
      "  - Many, many more ...\n",
      "\n"
     ]
    }
   ],
   "execution_count": 3,
   "id": "celula-006"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Separar treino e teste\n",
    "Treinamos com 80% e reservamos 20% para avaliar flores não usadas no ajuste. Estratificar preserva a proporção das espécies. A semente permite reproduzir a divisão."
   ],
   "id": "celula-007"
  },
  {
   "cell_type": "code",
   "metadata": {},
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.tree import DecisionTreeClassifier, plot_tree\n",
    "from sklearn.metrics import accuracy_score, classification_report, ConfusionMatrixDisplay\n",
    "from sklearn.dummy import DummyClassifier\n",
    "# X contém medidas; y contém a espécie que queremos prever.\n",
    "X, y = base.data, base.target\n",
    "X_treino, X_teste, y_treino, y_teste = train_test_split(X, y, test_size=0.2, stratify=y, random_state=42)\n",
    "# max_depth limita o número de níveis de decisão.\n",
    "modelo = DecisionTreeClassifier(max_depth=3, random_state=42)\n",
    "modelo.fit(X_treino, y_treino)\n",
    "previsoes = modelo.predict(X_teste)\n",
    "# Compara com uma regra simples que sempre prevê a classe mais frequente.\n",
    "baseline = DummyClassifier(strategy='most_frequent').fit(X_treino, y_treino)\n",
    "print('Acurácia da referência:', accuracy_score(y_teste, baseline.predict(X_teste)))\n",
    "print('Acurácia da árvore:', accuracy_score(y_teste, previsoes))\n",
    "print(classification_report(y_teste, previsoes, target_names=base.target_names))"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Acurácia da referência: 0.3333333333333333\n",
      "Acurácia da árvore: 0.9666666666666667\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "      setosa       1.00      1.00      1.00        10\n",
      "  versicolor       1.00      0.90      0.95        10\n",
      "   virginica       0.91      1.00      0.95        10\n",
      "\n",
      "    accuracy                           0.97        30\n",
      "   macro avg       0.97      0.97      0.97        30\n",
      "weighted avg       0.97      0.97      0.97        30\n",
      "\n"
     ]
    }
   ],
   "execution_count": 4,
   "id": "celula-008"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Interpretar e visualizar\n",
    "Acurácia é a proporção de acertos. A matriz mostra quais espécies foram confundidas. Precisão avalia as previsões de uma classe; recall avalia quantos exemplos dessa classe foram encontrados. Uma única divisão pequena não é uma estimativa definitiva."
   ],
   "id": "celula-009"
  },
  {
   "cell_type": "code",
   "metadata": {},
   "source": [
    "# As regras foram aprendidas exclusivamente com o treino.\n",
    "plt.figure(figsize=(13,6))\n",
    "plot_tree(modelo, feature_names=list(X.columns), class_names=list(base.target_names), filled=True)\n",
    "ConfusionMatrixDisplay.from_predictions(y_teste, previsoes, display_labels=base.target_names)\n",
    "# Usa uma flor do teste para demonstrar a saída.\n",
    "print('Espécie prevista para a primeira flor do teste:', base.target_names[modelo.predict(X_teste.iloc[[0]])[0]])"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Espécie prevista para a primeira flor do teste: setosa\n"
     ]
    },
    {
     "output_type": "display_data",
     "metadata": {},
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABAMAAAHiCAYAAACdngWuAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjgsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvwVt1zgAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzs3Xd8TfcbwPHPzd5LQiIhMSOIEbViJQi1Z/mZjT2KVmmtqqgq1RStWTVCqLZqF7Vj712rQRJEjEQS2fP+/khz67oZFyHI83698nrJ9zzne55zI63znO9QKJVKJUIIIYQQQgghhCgydAo7ASGEEEIIIYQQQrxeUgwQQgghhBBCCCGKGCkGCCGEEEIIIYQQRYwUA4QQQgghhBBCiCJGigFCCCGEEEIIIUQRI8UAIYQQQgghhBCiiJFigBBCCCGEEEIIUcRIMUAIIYQQQgghhChi9Ao7ASHEm+n27dtERkYWdhpCiFfI1taW0qVLF3YaQgghhCgEUgwQQmi4ffs2bm5uJCYmFnYqQohXyMTEhKtXr0pBQAghhCiCpBgghNAQGRlJYmIiq1evxs3NrbDTEUK8AlevXqV3795ERkZKMUAIIYQogqQYIITIlZubGx4eHoWdhhBCCCGEEKKAyQKCQgghhBBCCCFEESPFACGEEEIIIYQQooiRYoAQQgghhBBCCFHESDFACCGEEEIIIYQoYqQYIIR4Z7m4uODl5ZVvXEBAAAqFgqCgoFeeU0Hy9fVFoVAUSF/z58/HxsaG2NjYAunvef35558YGBhw48aNQrm+EEIIIURRI8UAIcQbZ+7cuQQEBBR2Gm+ETZs24efn90qvERMTg5+fH2PGjMHS0vKVXis3bdu2pUaNGowfP75Qrv+ywsPDmTFjBk2aNMHBwQFTU1OqVKnCZ599RlRU1Av1mZiYSNmyZVEoFHzyyScax7OLQTl97dmz5yXvSAghhBDvOtlaUAjxxpk7dy4uLi74+voWdiqFbtOmTaxcufKVFgQWLFhAXFwcw4YNe2XX0MaoUaPo06cPV69exc3NrVBzeV5bt25l6tSptG7dms8++wxzc3NOnjzJ3Llz+fXXXzl16hT29vbP1efUqVN59OhRvnGBgYEabVWrVn2uawkhhBCi6JFigBBCFGGZmZksWbKEtm3bYmNjU6i5dOzYEVNTU5YsWcKcOXMKrN+0tDSuX7/+Sh+QGzVqRGhoqNoD/6BBg6hbty6DBg3C398ff39/rfu7ePEis2fPZsaMGXz22Wd5xvbu3fuF8xZCCCFE0SXTBIQQLyR7nv3u3bv54osvKFWqFEZGRtSsWZPNmzfneM6ePXto0aIFVlZWGBkZUa1aNRYvXqwWo1AoCAsL48CBA2rDnkNDQwHYtWsX3bt3p0yZMhgZGWFjY0O7du04d+5cgd9jbGws48aNo3z58hgaGmJnZ0ePHj24detWjp/Fvn378Pf3p1y5chgaGlKxYkVWrlyp0W9GRgbTpk3D2dlZ9Tn89ttv+Pn5qd2rl5eX6vynP4tnp1DExsYybNgwihcvjpGREQ0aNODEiRNa3ePJkye5ffs2rVu3zvF4cHAwH374IY6OjhgaGuLo6EiXLl24fPmyKiZ7bYaLFy/i4+ODubk5xYsXZ8yYMaSnp5OcnMzYsWNxdHTEyMiIxo0bc/XqVY1rmZmZ0bBhQ9atW6dV7vk5fvw4H330EQ4ODnzxxRcF0mduqlSpkuOb/+7duwPw999/a91XZmYmgwcPpnnz5nTt2jXfeKVSyZMnT8jMzNQ+YSGEEEIUeTIyQAjxUj7//HNSUlIYOXIkGRkZLF26lE6dOrF+/Xo6deqkiluyZAlDhw6lXr16TJo0CVNTU3bv3s2wYcO4efMm3333HZA15Hn06NHY2toyadIk1fl2dnZA1oN3TEwM/fr1o2TJkoSEhLBkyRIaNmzI2bNncXV1LZD7io2NxdPTk9u3b9O/f3+qVKlCREQECxcupG7dupw+fRpnZ2e1cyZOnEhSUhJDhgzB0NCQRYsW4evrS/ny5WnQoIEqbsSIESxevBhvb2/Gjh3Lo0ePGD58OGXKlFHrb9KkSWRmZnLo0CG1oeCenp5qcS1btsTOzo4vv/ySqKgoZs+eTZs2bQgJCcHc3DzP+zxw4AAAderU0Th28uRJmjdvTmZmJgMGDKBy5cpERkayb98+zpw5Q5UqVVSxd+/excfHh27dutGlSxd27drF7Nmz0dXV5cqVKyQlJTF+/HgiIyPx9/enY8eOXL16FR0d9Zp0/fr12blzJzdu3KB8+fJ55p6Tmzdvsnr1alavXs2NGzcwNzenc+fODBkyRC0uMTGRxMRErfrU19d/4bUU7t69C0CJEiW0PmfhwoVcuHBB6wKCpaUlcXFxGBoa4u3tzfTp0/Hw8HihfIUQQghRhCiFEOIZZ86cUQLKM2fO5BqzYsUKJaB0cXFRxsbGqtofPXqkLFasmLJUqVLK9PR0pVKpVN67d09paGio7NWrl0Y/o0aNUuro6Chv3rypanN2dlY2adIkx+vGx8drtF27dk1pYGCgHDJkiFp7Xv3kdC/79+9Xy8vY2Fh54cIFtdjQ0FClubm58sMPP9Q4v0aNGsqUlBRV+927d5UGBgbK//3vf6q2v//+Wwko33//fWVGRoaq/eLFi0odHR0loAwJCVG1f/jhh8rc/lOdfWzYsGFq7b///rsSUC5evDjfe+/bt68SUCYkJKi1Z2ZmKitXrqw0NjZWXrlyReO8p3N3dnZWAsrff/9dLcbDw0OpUCiU7du3V2ZmZqraf/jhByWg/OuvvzT6DQwMVALKTZs25Zt7tsjISOXChQuV9evXVwJKfX19Zfv27ZW//fabMjExMcdzpkyZogS0+tLm71BuPvjgAyWg3Lt3r1bx4eHhSgsLC+XUqVOVSqVSGRISogSUH3/8sUbsuHHjlKNHj1auXr1auWHDBuUXX3yhNDMzUxoZGSmPHDmS77W0+T0XQgghxLtLRgYIIV7K0KFDsbCwUH1va2vLgAEDmDVrFmfPnqV27dr88ccfpKSkMHDgQCIjI9XOb9euHT/++CN79uxh8ODB+V7P1NRU9ee4uDhSUlIoVqwYrq6unDx5skDuSalUsmbNGry8vChZsqRazqamptSrV49du3ZpnDd8+HAMDAxU3zs6OlKxYkWCg4NVbX/++ScAo0ePVnsr7u7uTsuWLdmxY8dz5zt69Gi175s2bQqgdt3cPHr0CENDQ0xMTNTaz58/z5UrVxg5cmSOi/k9+0bf0dGRDz74QK0te7TGyJEj1bZAbNSokSq/li1bqp1TrFgxAB4+fJhv7qdOnWL69Ols376d9PR0GjRowKJFi+jWrVu+6x/07duXhg0b5nsNAGtra63invX999+zbt06Bg8erPqZ5GfkyJGUKFGCcePG5Rs7c+ZMte87depEt27deO+99xg5ciRnzpx5obyFEEIIUTRIMUAI8VIqVaqk0Va5cmUAbt26Re3atVXzw729vXPt58GDB1pd78aNG0yYMIFdu3bx5MkTtWPPDrN/UY8ePSIqKoodO3aopic869mHYYCyZctqtBUrVoywsDDV9yEhIUDOn5urq+sLFQOevW72A7U2W9o9/ZD+tOxCQo0aNbTKIafPPvsh+tlj2e055adUKvPM62nbtm1j8+bNGBkZMXv2bIYMGYK+vr5W+ZYtWzbHn1dBWbp0KZ999hlt2rRh/vz5Wp2zZcsWNmzYwO7duzE0NHyh67q7u9O+fXv++OMPHj58SPHixV+oHyGEEEK8+6QYIIR45bIf8NasWZPrw4k2D2ZxcXE0btxYtSBdlSpVMDMzQ0dHh08++YT4+PgCzbdly5aMHTtW6/N0dXXz7O9VeZnr2tnZkZKSQkJCgtqoi+d5KM8rh+fN7/Hjx6q88jNo0CB0dXVZvXo1I0eOZMqUKXzwwQf06tWLhg0b5pl7fHy81n9fDAwMnmunheXLlzN48GBatGjB+vXrtS5QjBgxgqZNm+Li4sKNGzcACA8PB7LWsLhx4wZ2dnb5rl/g4uICQGRkpBQDhBBCCJErKQYIIV7KtWvX6NChg1rblStXgP8e8CtUqABkPeA1b9483z5ze4jbt28fERERrFixAl9fX7Vjjx8/Vhui/zLs7OywsrIiLi5Oq3yfR/aD2rVr1yhdurTasevXr2vEa/sw/qKyR3EEBwerjQKoWLEikDVd4HXKfgjWZhtAR0dHJk+ezOTJkzlx4gSBgYH89ttv/PTTT5QuXZoePXrQq1cv3N3dNc719/dn6tSpWuXUpEkTgoKCtIpdvnw5AwcOpHnz5mzatOm53vDfuXOHO3fuqH5fnhYQEEBAQADz5s1jxIgRefaTPapDCgFCCCGEyItsLSiEeCmLFy8mLi5O9X1kZCTLly/HyclJtaJ5t27dMDQ05MsvvyQ5OVmjj9jYWFJSUlTfm5mZqd4QPy37DfOzb5RXrlxJREREgdwPZE0B6NWrF0ePHmXTpk05xmgzpz0n7dq1A2DOnDlqW8FdunSJnTt3asSbmZkB5Ph5FITGjRsDWdvwPa1GjRq4ubmxdOlS/vnnH43zXtVoh+PHj+Po6Ei5cuWe67y6desyf/587t27x+bNm6lTpw5z586lWrVquLu7s3r1arX4vn37snv3bq2+vv/+e61yCAgIYNCgQTRt2lQ1fSE3ERERXLt2TW1Hg3Xr1ml8LVy4EIA2bdqwbt06WrVqBUBCQoLa70y2o0eP8ueff1KvXj1sbW21ylsIIYQQRZOMDBBCvBQrKyvq1q1Lv379yMjI4OeffyYqKop169apHt6dnJxYtGgRAwcOxM3Njd69e+Ps7MyjR4+4dOkSmzZt4sqVK6q35vXq1WPZsmVMnjwZNzc3dHR0aNeuHQ0aNFDtXx8WFoaDgwMnTpxg8+bNlCtXjvT09AK7r+nTp3PkyBE6d+5M9+7dqVevHvr6+oSFhbF9+3Zq1apFQEDAc/dbpUoVBg8ezJIlS2jevDmdOnXi0aNHLFiwgJo1a3LmzBm10QD16tVj/vz5DB8+nDZt2qCvr0/dunULbH2EOnXq4OzszPbt2xk6dKiqXaFQsHz5cpo3b06tWrVUWws+fvyYvXv30qdPH/r27VsgOWSLj4/n0KFDWi0kmRt9fX3at29P+/btiYmJYd26dQQGBrJhwwZ69+6tiivoNQO2bNnCgAEDsLCwoHv37qxfv17teIkSJfDx8VF9P2HCBFauXMn+/fvx8vICoGvXrhr9hoaGAlC+fHm148HBwbRu3ZoOHTpQoUIFTExMOHfuHAEBAZiYmLBgwYICuzchhBBCvJukGCCEeCmzZs0iKCiIH3/8kYcPH+Lm5sb69evp1KmTWly/fv2oWLEi/v7+/PTTT8TExGBra4urqyvTpk3D3t5eFTt9+nQeP37MggULiImJQalUEhISgouLCzt37uSzzz5jzpw5AHh6erJ//35GjRqlenAqCJaWlhw5coTvv/+e33//nU2bNqGnp4eTkxMNGzZk4MCBL9z3woULKVmyJMuWLWPs2LG4urqyaNEiTp48yZkzZzA2NlbF9ujRg3PnzvHrr7+ybt06MjMzWbFiRYEVA3R0dBg8eDB+fn5ERkaqvU2uV68ep06dYtq0aaxdu5bo6GiKFy9OvXr1eO+99wrk+k/buHEjiYmJL1UMeJqVlRWDBg1i0KBBBbaeRG7Onj1LZmYmMTExOebfpEkTtWLAy7K3t6dZs2bs37+fNWvWkJycjIODA71792bixInPPbJCCCGEEEWPQvmqV7YSQrx1zp49S61atThz5oxqqP+zAgIC6Nevn9qbTfFy2rVrx759+3jy5EmeC/IVtJiYGCpUqMDIkSP58ssvX9t1n1W7dm2cnZ35448/Ci2HokSb33MhhBBCvLtkzQAhhHjNkpKSNNouXrzIjh07aNq06WstBEDWG/QpU6YwZ84cYmNjX+u1s/35559cuHCBmTNnFsr1hRBCCCGKGpkmIIQQr9ny5cv55ZdfaN26NXZ2dly7do0lS5ZgYGDAV199VSg5jRgxIt9V6l+ltm3bkpqaWmjXF0IIIYQoaqQYIIQQr5mHhwebN2/mxx9/JDo6GnNzc5o1a8aUKVOoWbNmYacnhBBCCCGKACkGCCFeiK+vL76+voWdxlupfv367Nq1q7DTEEIIIYQQRZisGSCEEEIIIYQQQhQxUgwQQgghhBBCCCGKGCkGCCHEK6ZQKF5qSoWXlxcuLi4Flo8QQgghhBBSDBBCCJGnJ0+e8PHHH+Po6IiRkRFubm78+OOPKJXK5+rnypUr9OzZEwcHBwwNDXFycqJTp048ePBAIzYxMZGvvvqKKlWqYGxsjI2NDfXr12fjxo1qcQqFIs+vNWvWvNS9CyGEEEK8q2QBQSGEeMWSkpLQ1dV94fN37dr13A/eBSUtLY0WLVpw5swZPvroI6pWrcru3bv5+OOPuX37Nv7+/lr1s3PnTjp27Ei5cuUYNWoUJUqU4OHDhxw7downT55QokQJVWx0dDTNmjUjODiYfv368emnn5KQkMDVq1cJCwtT6zcwMDDH640ePZrY2FhatGjx4jcvhBBCCPEOk2KAEEK8YkZGRi91voGBQQFl8vyWLVvGiRMn+OGHHxg1ahQAAwcOxNDQkDlz5jBgwADc3Nzy7OPhw4f07NkTLy8vtmzZgr6+fp7xo0aN4saNG5w4cYLKlSvnGdu7d2+NtgsXLhAZGUnnzp2xs7PL5w6FEEIIIYommSYghBAvIDQ0lC5dumBhYYGFhQUdOnQgJCQEFxcXvLy81GKfXTMgNDQUhUKBn58ff/75J7Vr18bIyAgHBwc+++wz0tPT1c4vzDUD1qxZg4mJCYMHD1Zr//TTT8nMzGTt2rX59rF48WIeP37MrFmz0NfXJzExkbS0tBxjQ0ND+eWXXxg0aBCVK1cmIyOD+Pj458p5+fLlAAwYMOC5zhNCCCGEKEqkGCCEEM8pKiqKRo0asXXrVnx9ffn2228xNTXF29ubhIQErfvZvn07/fv3p1WrVsyZM4fq1avj7+/PrFmzXji3yMhIrb9yeyDPlpmZyZkzZ6hZs6bG6Ibq1atjYmLCqVOntLpPCwsLYmJiqFGjBqamphgZGdGoUSON8//66y8yMzOpXLkyffr0wcTEBHNzc5ycnJgzZ06+10pNTWXNmjU4OjrSsmXLfOOFEEIIIYoqmSYghBDP6dtvv+Xu3busWbOGnj17AjBs2DA+//xzvvvuO637uXz5MpcvX1a99R86dCju7u7MmzePiRMnvlBuzzMsfv/+/RqjGJ4WHR1NUlISjo6OGscUCgWOjo6Eh4fne53r16+Tnp7O+++/zwcffMDkyZMJDQ3l66+/xsvLi5MnT1KlShVVLMCECROwtbVl8eLFGBgYsHjxYj799FNiYmKYOnVqrtfasmULUVFRTJgw4aXWaRBCCCGEeNdJMUAIIZ7T1q1bcXR0pEePHmrtY8eOfa5iQMeOHdWG/ysUCry9vZk/fz7x8fGYmZk9d267d+/WOrZ69ep5Hk9MTATA0NAwx+NGRkaqmLzExcWRkZFBr169CAgIULXXqlULb29vvvrqK3777TdVLGS94T906BDFihUDoFu3blSuXJlZs2bxySefYG1tneO1sqcI9O/fP9+8hBBCCCGKMikGCCHEcwoJCcHT0xOFQqHWXrx4caysrLTup2zZshpt2Q+/UVFRL1QMaN68+XOfkxsTExMAUlJScjyenJysismLsbEx8fHxausmQNZaCKVLlyYoKEgtFqBt27aqzwJAX1+fnj178tVXX3H8+HFatWqlcZ3w8HB27dpF48aNKV++fL55CSGEEEIUZVIMEEKIQpLXMPYX3Urw/v37Wsfa2NjkuVOBtbU1xsbGOU4FUCqV3Lt3j0aNGuV7HScnJ65du4a9vb3GMQcHB86ePasWC+QaC1nTF3KyatUqMjIyZOFAIYQQQggtSDFACCGek4uLC//88w9KpVJtdMDDhw+JiYkpvMT474FZG/mtGaCjo0OtWrU4e/YsKSkpatMFLl68SEJCAu+9916+16lTpw7Xrl3j7t27VK1aVe3Y3bt3KV68uFpsdvuzstuejn/aihUrsLCwoGvXrvnmJIQQQghR1EkxQAghnlO7du3w9/dn7dq1qgUEAfz9/QsxqywFuWYAQM+ePTl8+DA//fQTo0aNUrXPnj0bHR0djXUTrl27hr6+PuXKlVO19enTh1WrVrF48WLef/99VfvWrVsJDw9n0KBBqrbGjRvj7OysOpa9eGFCQgKrVq3CysqK+vXra+R5+PBhgoODGTx4sFZTF4QQQgghijopBgghxHMaN24cv/zyC76+vpw4cYJKlSpx6NAhjh49iq2trcZaAq9TQa4ZADBw4EACAgIYM2YMISEhVK1ald27d/Pbb78xevRoKleurBbv5uaGs7MzoaGhajn16NGDtWvX0rp1a9q2bUtYWBjz5s3DwcEBPz8/Vayuri4LFy6kffv21K9fn+HDh2NgYMCKFSu4c+cOy5Ytw9TUVCNPWThQCCGEEOL5SDFACCGek62tLYcPH2bMmDEsX75ctQvA/v37qV27tmoRvHeBvr4+u3btYvLkyfz2228sXLiQMmXKMGfOHLWRAvlZtWoV1atXZ/ny5YwePRpLS0u6du3K9OnTKVmypFps69at2bt3L1OnTmX69OlkZGRQs2ZNtmzZQrt27TT6TkhIYN26dVSpUoW6deu+9D0LIYQQQhQFCuWLrlIlhHhnnT17llq1anHmzBk8PDwKO523RlRUFLa2tgwZMoTFixcXdjpC5El+z4UQQoiiTaewExBCiLdRUlKSRtvMmTMB8PHxed3pCCGEEEII8VxkmoAQQryAFi1aUK5cOWrVqkVGRgZ79uxh27ZtNGjQgI4dOxZ2ekIIIYQQQuRJigFCCPEC2rVrx+rVq9m4cSNJSUmUKlWKsWPHMmXKFHR1dQs7PSGEEEIIIfIkxQAhhHgBn3/+OZ9//nlhpyGEEEIIIcQLkTUDhBBCCCGEEEKIIkaKAUIIIYQQQgghRBEjxQAhhHjLhYaGolAo8PPzK+xUhBBCCCHEW0KKAUIIId4o8fHxTJ06lQ4dOuDk5IRCocDLyyvH2PDwcGbMmEGTJk1wcHDA1NSUKlWq8NlnnxEVFZXjOcHBwXTu3Blra2tMTU1p0KABO3fufIV3JIQQQgjx5pFigBBCiDdKZGQkfn5+nDhxgurVq2NgYJBr7NatW5k6dSrFihXjs88+Y+7cuXh6ejJ37lxq1KjB/fv31eJDQkKoX78+hw8fZuzYsfj7+5OWlkbr1q3ZsmXLq741IYQQQog3huwmIIQQ4o3i4ODAnTt3cHJyAsDKyirX2EaNGhEaGoq9vb2qbdCgQdStW5dBgwbh7++Pv7+/6tiECROIjo7mzJkz1KhRA4B+/fpRvXp1RowYQevWrdHTk/81CiGEEOLdJyMDhBBFWnJyMn5+fri6umJiYoKVlRXu7u6MHz9eLe7XX3+lXbt2lCpVCkNDQ0qUKEGPHj24deuWRp8KhQJfX1+CgoLw9PTExMQEJycnvv32WwCio6MZMGAAxYsXx8TEhLZt23Lv3j21Pvz8/FAoFPz9998MHz6cEiVKYGxsTIMGDThy5IhW96ZUKlm0aBG1atXCxMQEMzMzvL292b9/v0bsqlWrqF27NlZWVpiamlK2bFl69+6d61D7V8nQ0FBVCMhPlSpV1AoB2bp37w7A33//rWpLSEhg06ZNeHl5qQoBAEZGRgwbNow7d+5w8ODBl0teCCGEEOItIa8/hBBF2kcffcTKlSsZPHgwNWvWJCUlheDgYPbt26cWt3DhQmxtbRk2bBh2dnZcuXKFpUuXsn//fv7++29sbW3V4s+dO8fWrVsZPHgwffr04ffff2f8+PEYGhqyatUqXFxc8PPz48aNG/z444/07duXPXv2aOTXp08fDA0NmTBhAjExMSxcuJBmzZpx4MAB6tatm+e99enTh7Vr19K1a1f69etHSkoKa9aswcfHhw0bNtC+fXsAAgMD+fDDD2nTpg2+vr7o6+tz+/Zttm/fTmRkJMWKFcvzOtHR0WRkZGjzcWNubo6hoaFWsS/j7t27AJQoUULVdunSJVJSUqhfv75GvKenJwCnTp2iadOmrzw/IYQQQojCJsUAIUSRtnHjRgYNGsTChQvzjNuxYwempqZqbe3bt6dp06YsXbpUYyTBpUuXOHbsmOqBfcCAATg7O/Ppp58yYsQIfvzxR7X4OXPmcP36dVxdXdXajYyMOHjwIPr6+gD07NmTqlWr8umnn+Y5QmDjxo2sWbOGJUuWMGjQIFX7xx9/TL169fj4449p164dCoWCjRs34ubmxp9//qnWx9dff53nZ5KtZs2ahIWFaRW7YsUKfH19tYp9GVOmTAHgww8/VLWFh4cD4OjoqBGfPRIhO0YIIYQQ4l0nxQAhRJFmaWnJiRMnuHXrFmXLls01LrsQoFQqiYuLIzU1FXd3dywtLTl58qRGfP369dXe3BsYGFCnTh22bNnCqFGj1GIbNWrEnDlzCA4O1igGfPLJJ6pCAEDFihXp1KkTv//+O48ePcLOzi7HfFevXo2VlRUdOnQgMjJS7Vi7du3w8/MjODiYihUrYmlpSXh4OAcPHqRx48a5fga5WbNmDUlJSVrFVqlS5bn7f17ff/8969atY/DgwWpv+RMTEwFyHJlgZGSkFiOEEEII8a6TYoAQokibO3cuffr0oVy5cri6utKoUSPatm1Lu3bt0NH5b1mV06dPM3nyZA4ePKjxwBgTE6PRb06FBWtrawDKlCmTY3tO8/MrVaqk0Va5cmUAbt26lWsx4OrVq8TExKgNk3/WgwcPqFixIhMnTuTgwYM0adIEe3t7GjZsiI+PDz169MDc3DzX87M1aNAg35jXZenSpXz22We0adOG+fPnqx0zMTEBICUlReO85ORktRghhBBCiHedFAOEEEVahw4dCA0NZfv27Rw4cIA9e/awdOlSmjRpwu7du9HX1ycsLAwvLy9sbGyYOnUqFSpUwMTEBIVCwf/+9z8yMzM1+tXV1c31mrkdUyqVBXZfSqUSe3t7AgMDc42pWrUqABUqVODKlSvs3buXvXv3cuDAAYYMGYKfnx/Hjh3D2dk5z2s9evRI6zUDLC0tMTY21v5GnsPy5csZPHgwLVq0YP369WojKuC/6QE5TQXIXmMgpykEQgghhBDvIikGCCGKPBsbG3r37k3v3r1RKpWMHz+eWbNmsW3bNjp27MimTZtISEjgzz//xMvLS3VeUlIS0dHRrzS3a9euUb16dbW2K1euAJojDJ5WoUIFduzYodrNID+Ghoa0bt2a1q1bA7B9+3batGnDnDlzmDt3bp7n1q5du9DXDFi+fDkDBw6kefPmbNq0KcepAO7u7hgaGnLs2DGNY9lt7733XoHnJoQQQgjxJpJigBCiyMrIyCAuLk5tH3uFQkHNmjWB/4btZ7/Jf/bN/axZs3IcFVCQ5s6dS+fOnVVvuf/55x82btxI/fr1KV68eK7n9e3bl61btzJp0iTmzJmjcfzBgweqKQSRkZEauyF4eHgAOU9deFZhrxkQEBDAoEGDaNq0KZs3b1bN/3+WqakpHTp04I8//uD8+fOq7QWTk5NZuHAhTk5ONGnSpMDzE0IIIYR4E0kxQAhRZMXFxeHg4ED79u2pWbMmxYsXJyQkhEWLFmFjY0ObNm0AaNWqFcbGxvTt25cRI0Zgbm7Ovn37OH36dL7b7r2s5ORkGjduTPfu3YmNjWXBggXo6Ojw/fff53le9naCc+fO5fTp07Ru3RpbW1vu3r3LsWPHuHHjBrdu3QKgRYsWWFlZ0ahRI0qVKkVMTAwBAQEoFAp69eqVb46vYs2A+fPnq9ZiSElJISwsTLW7QfXq1WnXrh0AW7ZsYcCAAVhYWNC9e3fWr1+v1k+JEiXw8fFRfT9jxgz27NlDixYtGD16NNbW1ixfvpzg4GA2bNiAnp78b1EIIYQQRYP8q0cIUWSZmJjwySefsHfvXvbs2UN8fLyqODBx4kTs7e0BKFeuHNu2bWPSpElMmzYNQ0NDmjVrxoEDB175m+RVq1axaNEivvnmG548eYKHhwfffvst9evXz/fc5cuX4+3tzZIlS5gxYwapqanY29vj4eHBjBkzVHHDhg3j999/56effuLx48cUK1aMmjVrMm/ePLy9vV/l7eXK399fbepBaGgokydPBrK2C8wuBpw9e5bMzExiYmIYPHiwRj9NmjRRKwaULVuWo0ePMn78eL799ltSU1OpUaMG27Zto1WrVq/4roQQQggh3hwKZUGuWCWEeCecPXuWWrVqcebMGdVwcfF6+fn5MXXqVEJCQnBxcSnsdMQ7SH7PhRBCiKJNJ/8QIYQQQgghhBBCvEukGCCEEEIIIYQQQhQxUgwQQgghhBBCCCGKGCkGCCHEG8jPzw+lUinrBQghhBBCiFdCigFCCCGEEEIIIUQRI8UAIYQQQgghhBCiiJFigBCiSPPy8nrnhuIHBQWhUChUXzNnzizslIqkP/74Q+3nEBAQUNgpCSGEEEKoSDFACCHeUYMHDyYwMJB27drlGqNUKvH09EShUNCxY8ccY4KDg+ncuTPW1taYmprSoEEDdu7cWaC5vot51KlTh8DAQCZOnFigOQohhBBCFAQpBgghxDuqfv369O7dmypVquQas3jxYi5dupTr8ZCQEOrXr8/hw4cZO3Ys/v7+pKWl0bp1a7Zs2VJgub6LeZQuXZrevXvj4+NTYPkJIYQQQhQUKQYIIUQRFRERwYQJE5gyZUquMRMmTCA6Oppdu3YxadIkhg0bxsGDBylfvjwjRowgPT1d8ijgPIQQQgghXgcpBggh3ng7duxAoVCwcOHCHI9XrlyZ8uXLq74/efIkvr6+VKhQARMTEywtLWnatCn79u3T6noKhQJfX1+N9oCAABQKBUFBQWrtsbGxjBs3jvLly2NoaIidnR09evTg1q1bWt9jYRg1ahSlS5fmk08+yfF4QkICmzZtwsvLixo1aqjajYyMGDZsGHfu3OHgwYOSRwHnIYQQQgjxOugVdgJCCJGfFi1aYG9vT2BgIMOHD1c7dubMGa5evYqfn5+qbePGjfzzzz/06NGDUqVKcf/+fZYuXYqPjw/79u2jSZMmBZZbbGwsnp6e3L59m/79+1OlShUiIiJYuHAhdevW5fTp0zg7O+fZR2JiIomJiVpdT19fH0tLy5fOe9u2baxfv55Dhw6hp5fz/wouXbpESkoK9evX1zjm6ekJwKlTp2jatKnkUUB5CCGEEEK8LlIMEEK88XR1denZsyezZ88mODiYChUqqI4FBgaiUCjo06ePqu2LL75gxowZan0MHTqUypUrM2PGjAItBnz55ZeEhIRw/PhxqlWrpmr39fXF3d2dKVOm5LuK/KxZs5g6dapW12vSpInGyITnlZCQwEcffYSvry8NGjTINS48PBwAR0dHjWNOTk5qMZLHy+chhBBCCPE6STFACPFW6Nu3L7NnzyYwMJCvvvoKgPT0dNauXUuDBg0oW7asKtbU1FT154SEBJKTk1EoFNSpU4djx44VWE5KpZI1a9bg5eVFyZIliYyMVMuhXr167Nq1S6t7a9iwoVbXtLa2fuF8s3355ZfExcUxa9asPOOyRysYGhpqHDMyMlKLkTxePg8hhBBCiNdJigFCiLdC9erVqVatGqtXr2bq1KkoFAp27drFw4cP+frrr9ViHzx4wMSJE9myZYvaAzpkrQdQUB49ekRUVBQ7duzAzs4uxxgdnfyXZilbtqxaMeNVOnfuHD/88AOLFy/G1tY2z1gTExMAUlJSNI4lJyerxUgeL5eHEEIIIcTrJsUAIcRbo2/fvowdO5bDhw/TqFEjAgMDMTIyolu3bqqYzMxMWrRowfXr1xk9ejQeHh5YWlqio6PDjBkztF5EMCfPrhSvVCoBaNmyJWPHjn3hfuPj44mPj9cq1sDAABsbmxe+1scff0yFChVo0qQJN27cUDuWkJDAjRs3sLa2plixYqrh8DkNfb979y6Q85B5yUMIIYQQ4s0nxQAhxFujV69ejBs3jlWrVlGjRg02b95M+/bt1RbUu3TpEhcvXmTKlClqiwoCTJ48Wavr2NjY8PjxY432Z3cHsLOzw8rKiri4OJo3b/78N/Qvf3//17ZmwO3btwkLC6NixYoax/bs2UOFChUYM2YM/v7+uLu7Y2homOPUiuy29957T/IogDyEEEIIIV43KQYIId4a9vb2+Pj4sG7dOjw8PEhKSqJv375qMbq6usB/b+2zBQUFceLECa2uU7FiRY4dO0ZiYqJq2Hd0dDQrVqxQi9PR0aFXr14sWLCATZs20bFjR42+Hj58SPHixfO83utcM2DRokUkJCRotH/wwQfUrl2bzz//HFdXVyBr3YMOHTrwxx9/cP78edV2esnJySxcuBAnJ6cXXoxR8hBCCCGEKFxSDBBCvFX69u3LX3/9xfjx4ylRogQtW7ZUO16pUiXc3NyYNWsWSUlJVKhQgUuXLhEQEEDVqlW5dOlSvtcYMWIEvXv3pmnTpvTp04eYmBh+/vlnnJ2duX//vlrs9OnTOXLkCJ07d6Z79+7Uq1cPfX19wsLC2L59O7Vq1cp3N4HXuWZAq1atcj1WsmRJunbtqtY2Y8YM9uzZQ4sWLRg9ejTW1tYsX76c4OBgNmzYoLENn0KhwNnZmdDQUMlDCCGEEOINJv9qEUK8VTp27IiFhQVPnjyhf//+Gg9fenp6bNu2jTFjxrBs2TJSUlLw8PBg69atrFixQqtiQK9evQgPD2fBggV8+umnlC1bli+//BIdHR2N0QWWlpYcOXKE77//nt9//51Nmzahp6eHk5MTDRs2ZODAgQV6/69b2bJlOXr0KOPHj+fbb78lNTWVGjVqsG3bNo0H6bi4OODVzJt/G/MQQgghhHiTKZTPjqUVQhR5Z8+epVatWpw5cwYPD4/CTkc8p6CgILy9vZk3bx7/+9//MDU1xdjY+JVfd8uWLXTo0IF9+/bh7e39yq/3pueRmprKkydPOHLkCB07dmTFihX4+voWWj7Pkt9zIYQQomjLf88rIYQQb6WRI0diZ2fHDz/88Fqut3PnTtq2bVuoD+BvUh5btmzBzs4ux7UkhBBCCCEKm0wTEEKId0z16tXZvXu36vsKFSq8lusuWLDgtVwnP29KHo0bN1b7OVSpUqUQsxFCCCGEUCfFACGEeMdYW1u/1FaHomAUL15cfg5CCCGEeGPJNAEhhBBCCCGEEKKIkWKAEEIIIYQQQghRxEgxQAghnpOfnx8KhSLfPeyFEEIIIYR4U0kxQAghxGsXExODn58fQUFBhZ2KEEIIIUSRJMUAIYQQr11MTAxTp06VYoAQQgghRCGRYoAQQgghhBBCCFHESDFACCGekpKSwsyZM6lWrRrGxsZYW1tTt25dli9fnud5165dY9iwYVSuXBlzc3NMTU2pV68e69at04i9c+cO/fv3x9nZGUNDQ4oXL46npyeBgYGqmMzMTObOnUu1atUwNzfHwsICV1dXBg4cSEZGRoHfd360yRlAqVSyaNEiatWqhYmJCWZmZnh7e7N//35VTFBQEGXKlAFg6tSpKBQKFAoFLi4uqpj09HRmzpyJm5sbhoaG2Nra8sEHH3D9+nW162n7Oe3atYvu3btTpkwZjIyMsLGxoV27dpw7d+4VfFpCCCGEEG8+vcJOQAgh3hSpqan4+Phw6NAhWrVqha+vL/r6+ly4cIHNmzfTv3//XM8NCgriyJEjdOjQgTJlyhAdHU1gYCDdunUjMDCQ3r17A1kPuT4+Pjx+/JghQ4aoYi9cuMDhw4fp06cPANOnT+fLL7+kV69eDB8+HIBbt26xZcsW0tLS0NXVzfNeIiMjtb5vS0tL9PX1cz2ubc4Affr0Ye3atXTt2pV+/fqRkpLCmjVr8PHxYcOGDbRv3x43NzfmzJnD6NGj6dSpE507dwbAzMxM1U+vXr34/fffadmyJR999BHh4eHMnz+f3bt3c/z4cSpVqvRcn1NAQAAxMTH069ePkiVLEhISwpIlS2jYsCFnz57F1dVV689LCCGEEOKdoBRCiGecOXNGCSjPnDlT2Km8VjNnzlQCSj8/P41jGRkZqj9PmTJFCShDQkJUbfHx8RrnJCYmKl1dXZWurq6qtgsXLigB5a+//ppnLjVr1lS+//77L3AXWQCtv/bv359nX9rmvGHDBiWgXLJkiVp7WlqaslatWkoXFxdlZmamUqlUKkNCQpSAcsqUKRr97Nq1Swkoe/bsqYpXKpXKY8eOKRUKhbJ169aqNm0/p5x+PteuXVMaGBgohwwZku/576Ki+nsuhBBCiCwyMkAIIf71yy+/YGtry4QJEzSO6ejkPavK1NRU9eekpCQSExNRKpV4e3uzePFinjx5goWFBZaWlgBs376dli1bYmVllWN/lpaWXL58mYsXL1KtWrXnvpfdu3drHVu9evU8j2ub8+rVq7GysqJDhw4aIxPatWuHn58fwcHBVKxYMc/rbdy4EYBJkyahUChU7fXq1aNZs2bs2rWLxMRETExMtP6cnv75xMXFkZKSQrFixXB1deXkyZN55iOEEEII8S6SYoAQQvwrODiY9957DwMDg+c+Ny4ujilTpvDbb79x7949jeMxMTFYWFjg7OzMpEmTmDFjBr/88gseHh40btyYbt26Ubt2bVX8N998Q8eOHalevTrOzs40atSI999/nw8++ECr/Jo3b/7c95AbbXO+evUqMTExlChRIte+Hjx4kG8xICQkBD09vRyH7lepUoU9e/Zw584dXF1dtf6cbty4wYQJE9i1axdPnjxR6zN7/QIhhBBCiKJEigFCCPEvpVKp9ib6efTs2ZNt27YxbNgwGjZsiI2NDbq6uqxYsYJffvmFzMxMVezXX39N//792bZtG4cOHWLZsmX4+/szYcIEvvnmGwDq16/PzZs32blzJ/v372f//v2sXr2a6dOnc+zYMdXb+tzcv39f69xtbGzyLTBok7NSqcTe3l5jUcGnVa1aVeu8tKHN5xQXF0fjxo1JTk5m7NixVKlSBTMzM3R0dPjkk0+Ij48v0JyEEEIIId4KhTxNQQjxBiqqc4mrVaumtLW1VaampuYZ9+yaAdHR0UqFQqH88MMPNWL/97//aawv8KykpCRl48aNlQqFQhkVFZVr3IIFC5SAcs6cOfneCwW4ZoC2Obdr106pp6enTEhIyPf80NDQXNcMGD58uBJQXr58WeOYj49Pvtd49nPatGmTElCuWLFCI9bBwUHp7Oycb77voqL6ey6EEEKILLK1oBBC/Ktnz55ERkby7bffahxTKpW5npe9Yv2zMdevX2fTpk1qbbGxsaSlpam1GRkZ4ebmhlKpJDo6Gsh5NwAPDw8AoqKi8r2X3bt3a/2V35oB2ubct29f0tPTmTRpUo79PHjwQPXn7J0DHj9+rBHXsWNHAGbMmKHWfvLkSfbs2UOLFi0wMTEBtPuccvv5rFy5koiIiBxzFUIIIYR418k0ASGE+Ncnn3zCli1bmDx5MsePH6dZs2bo6+tz6dIlHjx4oPFgn83c3JzmzZuzevVqTE1NqVmzJrdu3WLx4sVUrlyZs2fPqmL379/P4MGD6dKlC66urpiZmXHmzBmWLl2Kp6cn5cqVA8DNzY169epRt25dSpYsSUREBEuWLMHQ0JBu3brley8FuWaAtjlnbyc4d+5cTp8+TevWrbG1teXu3bscO3aMGzducOvWLQCKFStG+fLl+fXXXylXrhwlSpTA1NSUdu3a4ePjQ7du3Vi9ejVRUVG0bt2ae/fuMX/+fCwsLPj+++9VuWnzOTVo0IDixYszZswYwsLCcHBw4MSJE2zevJly5cqRnp5eYJ+VEEIIIcRbo1DHJQgh3khFefhwUlKS8quvvlJWqlRJaWBgoLSyslLWrVtXbYh5TlsLPnz4UOnr66ssUaKE0sjISFmrVi3lH3/8oRF769Yt5ZAhQ5SVKlVSmpubK01MTJSVKlVSTp48WRkTE6Pqb8aMGcpGjRop7ezslAYGBkonJydl165dC+Vnom3O2VatWqVs2LCh0tzcXGloaKh0dnZWdurUSWNrwhMnTig9PT2VJiYmSkBtuH5aWprym2++Ubq6uioNDAyUNjY2yq5duyqvXr2q1oe2n9O5c+eUzZs3V1pYWCgtLCyU77//vvLChQvKJk2ayDSBIvh7LoQQQgilUqFU5jH2VQhRJJ09e5ZatWpx5swZ1ZBrIcS7RX7PhRBCiKJN1gwQQgghhBBCCCGKGCkGCCGEEEIIIYQQRYwUA4QQQgghhBBCiCJGigFCCCGEEEIIIUQRI8UAIYQQQgghhBCiiJFigBBCCCGEEEIIUcRIMUAIIYQQQgghhChipBgghBBCCCGEEEIUMVIMEEIIIYQQQgghihi9wk5ACPHmunr1amGnIIR4ReT3WwghhCjaFEqlUlnYSQgh3iy3b9/Gzc2NxMTEwk5FCPEKGRsbs27dOhwcHAo7FfEK2draUrp06cJOQwghxBtGigFCiBzdvn2byMjIwk7jlTh//jwDBgxg8eLF1K5dm6CgIMaPH0+NGjX4/vvvMTU1LewU3wgRERF07dqV5OTkwk5FCPESTExMuHr1qhQEhBBCqJFigBCiyBkwYAD79u3j5s2bBAQEMGjQIDp37szq1asxNDQs7PTeGGfPnqVWrVqsXr0aNze3wk5HCPECrl69Su/evTlz5gweHh6FnY4QQog3iKwZIIQoUuLj4/ntt9/4/PPP8ff3Z9y4cQwdOpT58+ejq6tb2Om9kdzc3OQhQgghhBDiHSO7CQghipR169aRmJjI3bt3GTduHJMnT2bhwoUkJCTw559/Eh4eXtgpCiGEEEII8cpJMUAIUaQsW7YMe3t7fv75Z8aNG4eZmRlNmzalWLFitGvXjm3bthV2ikIIIYQQQrxyMk1ACFFkXLx4kSNHjgBgY2PDt99+i7GxMU2bNuWHH36gVatWlClTppCzFEIIIYQQ4tWTYoAQoshYunQpAE5OTnTt2pVWrVrRuHFjjIyMCjkzIYQQQgghXi+ZJiCEKDLmzJnDjRs3uHPnDnPmzKFFixZSCCgCXFxc8PLyeqXX8PLywsXFRavYgIAAFAoFQUFBWsX7+fmhUCgIDQ194fyy/fnnn+jr63Pz5s2X7utFXLp0CR0dHQ4ePFgo1xdCCCHEf6QYIIQoMnR1dSlXrlxhpyG0NHfuXAICAgo7jdciKCgIPz8/YmJiXtk10tPTGTt2LL6+voX2e+Du7k6XLl0YO3Ysb+vOxrt372bo0KHUqVMHIyOj5yrsPCswMJAGDRpgYWGBmZkZVatWZdq0aWoxQUFBKBSKHL969+5dAHckhBCiqJJpAuKtdvv2bSIjIws7DSG0YmtrS+nSpQs7jbfG3LlzcXFxwdfXt7BTydeuXbte6uE2KCiIqVOn4uvri5WVVcEl9pTffvuN69evs379+lfSv7Y+/vhjGjVqxM6dO3n//fcLNZcXsWbNGn755ReqVKlClSpVOHv27Av1079/f1auXEmXLl3o3bs3Ojo6hISEEBYWlmP84MGDadSokVpb2bJlX+jaQgghBEgxQLzFbt++jVslVxKTkgs7FSG0YmJsxNVr16Ug8A4yMDAo7BTytWjRIjw8PKhSpUqh5tGgQQNcXFz46aefCrQYkJmZyaVLl6hevXqB9ZmT6dOn89NPP2FoaMjcuXNfqBiwbNkyVqxYwapVq+jTp49W59SvX19GAgghhChQUgwQb63IyEgSk5KZ16U8FWyNCzsdIfIUHJnEyPU3iIyMfKeKAQEBAfTr149du3Zx4MABVq5cyaNHj3Bzc8PPz48OHTponLNnzx5mzZrFyZMnSU5OpmLFigwfPpyhQ4eqYhQKBQBhYWGqPwOEhITg4uLCrl27WLZsGSdPniQiIgITExMaNGjAV199Rc2aNZ/7PsLCwnBxcWHatGl88cUXqvYGDRpw9OhRli9fTr9+/VTt5cqVo3Tp0uzfvx/IWjMgNDRUY17/zz//zPfff09ISAilSpVixIgRWFpaqsX4+vqycuVKALXdLKZMmYKfn5/q+5SUFCZOnMiqVat49OgRlSpVYsaMGbRu3Trf+7t//z5HjhxRu7enRUREMH36dLZt28a9e/ewtramZs2aTJo0iYYNG6rd44EDB/j000/Zu3cvCoWCDh06MH/+fExMTJg5cyZLly7l3r17VK5cmXnz5tGgQQO1aykUClq2bMny5ctJTEzExMQk3/zzcunSJVavXs2aNWuwtbXl/PnzL9VffhwdHV/qfKVSyYwZM/Dw8FAVAuLi4jAzM1P7u56ThIQE9PT0MDQ0fKkchBBCCJBigHgHVLA1xr2kWWGnIUSR9vnnn5OSksLIkSPJyMhg6dKldOrUifXr19OpUydV3JIlSxg6dCj16tVj0qRJmJqasnv3boYNG8bNmzf57rvvgKy51KNHj8bW1pZJkyapzrezswOyihAxMTH069ePkiVLEhISwpIlS2jYsCFnz57F1dX1ufJ3dnamTJky7Nu3T/XAHB8fz6lTp9DR0WHfvn2qYkBYWBi3bt3Kd/rC3LlzGT16NDVq1GDGjBkkJCTg7+9P8eLF1eKGDBnCkydP2LhxI3PmzMHW1haAatWqqcV9+OGH6OvrM3bsWFJTU5k7dy4dO3bkn3/+yXfxwgMHDgBQp04djWMhISF4enoSGRmJr68vHh4exMXFceTIEQ4cOKAqBkDWw6i3tzdNmjRh5syZnDp1iuXLl5OUlIStrS0nTpxgxIgRpKWl4e/vT7t27QgLC8Pc3FztmvXr1+enn37i6NGjNG/ePM/cc3Lv3j3Wrl1LYGAgFy5cwMjIiLZt2zJgwAC1uJSUFOLi4rTqU1dXF2tr6+fO5Xldv36dmzdvMmLECKZNm8bcuXN5/PgxFhYW9OjRA39/f8zMNP+fNmrUKNXfQVdXV0aNGsXw4cNfeb5CCCHeXVIMEEII8dJiYmK4cOECFhYWAAwaNIhKlSrx8ccf0759e3R1dYmIiGDUqFH07NmT1atXq84dPnw4H3/8MbNnz2bYsGGULVuW3r1788UXX1CiRIkch0b//PPPmJqaqrX17duXatWqMWfOHBYvXvzc99C0aVPWrFlDcnIyRkZGHDp0iLS0NHr37q0aAQCwb98+VXxen8ekSZOoWrUqR48exdg4a/RSv379qFSpklps/fr1qVatGhs3bqRjx465Ptjb2tqydetW1dtjb29v6tSpw08//cSMGTPyvLcrV64A5Lhw4PDhw3nw4AH79u3T2HUhMzNT7fvIyEg+//xzPvvsMwCGDh1KdHQ069atw8PDg2PHjqGvrw+Am5sbHTp04JdffmHIkCFq/WTncfnyZa2LAfHx8WzYsIHVq1ezd+9eIGu0wrJly+jatavq797T1q5dqzaiIy/Ozs4FsmNDfq5fvw5kreGQmprKF198QZkyZfjzzz/56aefuH79Ovv27VP9nPX19Wnfvj2tW7emZMmS3L17lyVLlvDRRx9x7do1fvzxx1eesxBCiHeTFAOEEEK8tKFDh6o9jNna2jJgwABmzZrF2bNnqV27Nn/88QcpKSkMHDhQY+HPdu3a8eOPP7Jnzx4GDx6c7/WeLgTExcWRkpJCsWLFcHV15eTJky90D97e3ixbtoxjx47h7e3N/v37cXFxYcCAAaxevZrr16/j6urK/v37MTU1zfEte7Zdu3aRmJjIiBEjVIUAACcnJ3r16sWSJUueO7+PP/5YbRh57dq1MTMzIzg4ON9zHz16BICNjY1a++PHj9m5cydt27bNcftFHR31TYd0dXUZOXKkWlujRo3YuHEjQ4cOVRUCstuBHPMrVqwYAA8fPsw39+DgYKZOncrGjRtJTEykZs2azJo1ix49elCyZMk8z23ZsiW7d+/O9xqA2s/pVcoeqfDo0SN2796tKoZ06dIFpVLJypUr+euvv2jVqhWQNVVl8+bNan0MHjwYLy8v5s2bx6BBg3B3d38tuQshhHi3SDFACCHES3v2bTdA5cqVAbh16xa1a9fm6tWrQNZDd24ePHig1fVu3LjBhAkT2LVrF0+ePFE79vS8++eR/aZ/3759eHt7s2/fPpo2bUr9+vUxMjJi3759qmJAw4YN1R58n3Xr1i0g78/leeW0cnyxYsWIiorK99zsIsKzOx7cuHEDpVJJjRo1tMrBwcEBIyMjtbbsofXPfu7Z7Tnll51HfnPkAY4cOcKaNWvQ1dVl8uTJjB8/Xut1BhwcHHBwcNAq9nXJLjo4OjpqjIr48MMPWblyJUFBQapiQE50dXUZP348bdu2ZceOHVIMEEII8UKkGCCEEOK1yH4AXLNmjca8+WzabJUWFxdH48aNSU5OZuzYsVSpUgUzMzN0dHT45JNPiI+Pf6H8HBwcqFSpEvv27WPMmDGcO3eOTz75BENDQzw9Pdm3bx/NmjXj7t27jBgx4oWu8TJ0dXVzbNdmS8PstRYeP36s9nD8PA/leeXwvPk9fvxYLa+8tG/fntmzZ7Nq1SqmTZvGnDlz6NixIz179sTHxwc9vdz/KZOUlERsbGy+18jOX5t8XpaTkxMA9vb2GseyfzbR0dH59pM9nUS21xVCCPGipBggxBvKccoxPqhhx9xO5V/o/K4rLnMnJoUToz0KODMhNF27dk1j54DseerZD/gVKlQAsh4AtZknntsD6r59+4iIiGDFihUai/g9fvz4pbb58/b2ZunSpWzbto3MzEzVaIGmTZsyZ84c1Vz1vNYLgP/u+dq1azRp0kTtWPbn8jRtH8ZfVPZohODgYLWtBcuXL49CoXjlK/A/68aNGwBUrVo131gbGxtGjx7N6NGj+fvvvwkMDOSXX35h9erV2NnZ0b17d3r27En9+vU1zv3tt9/euDUD3N3dMTIyIjw8XOPY3bt3AXItlj0te/pFiRIlCjZBIYQQRYZO/iFCCPH84pLT+XJ7CLX8T1N22nGazDvPsuMRWr3FLMg+xOuxePFitVXbIyMjWb58OU5OTnh4ZBWkunXrhqGhIV9++SXJyckafcTGxpKSkqL63szMTPUG+WnZb6Cf/XuwcuVKIiIiXuo+mjZtSlpaGtOnT8fV1VU1J71p06ZERUUxb948LC0tVfeUGx8fH4yNjZk/fz5JSUmq9rt37/LLL79oxGevHp/T/RaExo0bA3D8+HG19mLFitGyZUu2bt3KwYMHNc57Vb9rx48fR19fP8cH+LxUrVqVb7/9lrCwMPbu3UubNm1YuXIlnp6elCtXjtmzZ6vFZ68ZoM3XmjVrCvIWgay/09euXVN7e29iYkKXLl24f/8+GzduVItftGgRgNp2kTlNs0hKSmLatGkoFAqttpYUQgghciIjA4R4Q938oi66L1Gu+6WPG4X1yJyWkUmPwKtcupfAh3VKUKm4CQdvxvLljlDCY1P4sqXLa+lDvD5WVlbUrVuXfv36kZGRwc8//0xUVBTr1q1TPbw7OTmxaNEiBg4ciJubG71798bZ2ZlHjx5x6dIlNm3axJUrV1TDn+vVq8eyZcuYPHkybm5u6Ojo0K5dOxo0aEDx4sUZM2YMYWFhODg4cOLECTZv3ky5cuVIT09/4fvw8vJCoVBw9epVhg0bpmqvXbs25ubmXL16lXbt2uU5XB6y5stPmzaNsWPH4unpSZ8+fUhMTGTx4sVUqFCBc+fOqcXXq1cPgHHjxtGrVy+MjIyoWrWqVm/OtWFvb0/Dhg3Zvn07M2fOVDs2f/58PD09ad68Of369aNGjRokJCRw9OhRatWqpba1Y0FQKpX89ddftGnTRuu5/8/S0dGhadOmNG3alIULF7Jp0ybViIFPP/1UFfcq1gy4ePEiW7ZsAeDYsWNA1laYhw8fBmDkyJFYWloCsHHjRvr168eUKVPw8/NT9fHNN9+wZ88eevbsyciRI3FxcWH79u1s27aNvn374unpqYpt1aoVJUuWxMPDQ7WbwKpVqwgJCWHixIm4ubkV6P0JIYQoOqQYIMQbykj/5QbuGOgV3sCftWcfcu5uPF+1cmFAvax/iPesVQKDDcH8fCyCHh7FqWCX90NAQfQhXp9Zs2YRFBTEjz/+yMOHD3Fzc2P9+vV06tRJLa5fv35UrFgRf39/fvrpJ2JiYrC1tcXV1ZVp06apzaOePn06jx8/ZsGCBcTExKBUKgkJCcHFxYWdO3fy2WefMWfOHAA8PT3Zv38/o0aNeqmh3ra2tri7u3Px4kW1qQB6eno0atSI7du35ztFINuYMWMwMzNj9uzZTJgwgVKlSjF27FgsLS3p37+/WmyDBg349ttvWbx4MYMGDSI9PZ0pU6YUWDEAYNiwYfTq1YuLFy9SrVo1VXu5cuU4c+YMX331Fdu3b2fFihXY2Njg4eGR4w4DL+vw4cOEhYW90PaPOTE2NqZHjx706NHjhdeLeB5nz55l8uTJam3Lly9X/bl3796qYkBuSpcuzfHjx5k0aRIrVqwgNjaWcuXK4e/vz+jRo9Viu3TpwqZNm5g3bx4xMTGYmZnh4eGBv78/nTt3LrgbE0IIUeQolDLeVrylzp49S61atfhriDvuJc0KOx2t3IlO5qudYRy8lbWglaeLBVNbufBBwBVKWRnyR7//5vI+u2bAnehk6s09x6deTlQracacoDtce5iIpZEenavZMqG5M3q6/807Lsw1Azot+5tLEQn8Pa62WlHj74gEWi6+yCdNHPmsaelX3seb5NK9eN7/6RJnzpzJd4j5myL7dyyvnAMCAujXrx/79+9/JQ+OouCkp6fj7u5O/fr11R5eX7euXbty+/ZtTpw48crXShDa/R4LIYQommRkgBCvyePENDotv0xkQhp93itBeVtjTt5+wgcBV0hMzdC6n33B0aw8dZ8+75Wge83i7Lr+mMVHI7A01mNUY6cXyy0hTetYcyNd9POYv5CZqeRiRALuDqYaoxuq2JtgrK/DhfCEPK9REH0IIdTp6enx3Xff0alTJyZNmkS5cuVeew6XLl1iw4YNBAUFSSFACCGEKGRSDBDiNVl4+B4RT1KZ36U8naplbV/1YR17vt4VxqIj97Tu5/rDJPZ/VJ1S1ll7ffetXYJmCy+w4sT9Fy4GuM86rXXsOt/KeJbJfQhsTHI6yWmZ2JtrruiuUCiwtzDgflxqntcoiD6EEJratm1LWpr2xb+C5u7uTmZmZqFdXwghhBD/kWKAEK/J7uvR2FsY0NHdVq19qGfJ5yoGvF/JRlUIgKyHY08XS1acvE9CSgamhnkvbJaTtX21X4Cqsr1pnseT0rL+oW+gl/NbPyM9HZLS8h4JURB9CCGEEEIIIXInxQAhXpM7McnUKmWuMTTW1kwfSyPtH+BLWxtqtFmbZP0qRyelv1AxoHE5q+c+JzfG/w7rT03PeTmS5PRMjPXzzrEg+hCvh6+vL76+voWdhhBCCCGEeE5SDBDiLaOrk/s82xddD/Thcwy5tzLWy3OnAisjPYz0dXIcxq9UKnkQl0rd0hZ5X6MA+hBCCCGEEELkTooBQrwmTlaG3IpKRqlUqo0OiIxPIza5cIe81/Q/o3VsfmsG6OgoqOZgyqWIBFLSMzF8qnBw5UEiiamZVCuZ91SDguhDiLeJQqHgww8/JCAg4IXO9/LyIjQ09KW2VRRCCCFE0SLFACFeE5+K1iw+GsGmS5GqBQQBFh/Vfr2AV6Ug1wwA6Ohuy8nbcaw+/YAB9RxU7UuORqCjQGPdhBuPktDTVeBiY/TCfQghCs+TJ0+YPHkyf/zxB1FRUZQpU4Zhw4YxcuRIrXYNCAoKwtvbO8djvXr1YvXq1QWdshBCCFHkSTFAiNfko4aObLoUyehNNzl3N55y/24tePpOPDYmhfurWJBrBgD0rFWcdecf8dXOMG5Hp1CpuDEHb8Wy5e8oBtV3oGJxE7X4JvPP42RlyInRHi/chxBvs6SkJHR1X3wdjF27dr3wNKGXlZaWRosWLThz5gwfffQRVatWZffu3Xz88cfcvn0bf39/rfsaPHgwjRo1UmsrW7ZsQacshBBCCKQYIMRrY2Oqz8YBVflqZxi/nnv47y4AFqzzrUzrJZdUi+a9C/R1dfilrxvf7bvD1suRrDqVTilrQ/zed2FAXfvX1ocQbwsjI6P8g/JgYKC5DefrsmzZMk6cOMEPP/zAqFGjABg4cCCGhobMmTOHAQMG4Oam3eij+vXr07t371eZrhBCCCH+JcUAIV6j0tZGLP2fq1rb48Q0ohPTKWmpvktA+NT6at+XsjbSaMs2xrsUY7xLqbX90a9KAWT84iyM9JjWugzTWpfJNza3+3qePoR404SGhjJmzBh2794NgLe3N3PnzsXb2xsXFxeCgoJUsc+uGRAaGkqZMmWYMmUK7733HlOnTuXSpUtYW1vTu3dvZsyYgZ7ef/8LL8w1A9asWYOJiQmDBw9Wa//0008JDAxk7dq1fPXVV1r3l5CQgJ6eHoaGmjunCCGEEKLgvDuvIoV4CySlaS4UuOBQOACNy+W+KJ8Q4u0SFRVFo0aN2Lp1K76+vnz77beYmpri7e1NQkKC1v1s376d/v3706pVK+bMmUP16tXx9/dn1qxZL5xbZGSk1l9paWl59pWZmcmZM2eoWbOmxuiG6tWrY2JiwqlTp7TObdSoUZiZmWFkZESlSpVYuHDhC92jEEIIIfInIwOEeI16rrqKs40R1RxMyVDCoVsx7P0nhtqlzXm/kk1hpyeEKCDffvstd+/eZc2aNfTs2ROAYcOG8fnnn/Pdd99p3c/ly5e5fPkyLi4uAAwdOhR3d3fmzZvHxIkTXyg3Ozu7/IP+tX//fry8vHI9Hh0dTVJSEo6OjhrHFAoFjo6OhIeH53sdfX192rdvT+vWrSlZsiR3795lyZIlfPTRR1y7do0ff/xR65yFEEIIoR0pBgjxGvm4WrPhYiR/XX1McnomJS0MGOrpwKdepdDVyX/FbSHE22Hr1q04OjrSo0cPtfaxY8c+VzGgY8eOqkIAZD1ge3t7M3/+fOLj4zEzM3vu3LKnLWijevXqeR5PTEwEyHVIv5GRkSomLw0aNGDz5s1qbYMHD8bLy4t58+YxaNAg3N3dtcxaCCGEENqQYoAQr9Hwho4Mb6j5Bk0I8W4JCQnB09NTY1u94sWLY2VlpXU/Oa2kX6xYMSBrKsKLFAOaN2/+3OfkxsQka1ePlJSUHI8nJyerYp6Xrq4u48ePp23btuzYsUOKAUIIIUQBk2KAEEII8YbKa7vBF91K8P79+1rH2tjY5LlTgbW1NcbGxjlOBVAqldy7d09jq8DnkT0qIjIy8oX7EEIIIUTOpBgghBBCFDAXFxf++ecflEql2uiAhw8fEhMTU3iJAQ4ODlrH5rdmgI6ODrVq1eLs2bOkpKSoTRe4ePEiCQkJvPfeey+ca3BwMAAlSpR44T6EEEIIkTMpBghRBNyJTqbe3HN86uWksQWhEKLgtWvXDn9/f9auXataQBDA39+/ELPKUpBrBgD07NmTw4cP89NPPzFq1ChV++zZs9HR0dFYN+HatWvo6+tTrlw5VVtUVJRq+kO2pKQkpk2bhkKhoHXr1lrnLIQQQgjtSDFACPHWu/oggfcXXyI9U8my/7nyvpvmzgzrLzxiybEIbjxKxNRQl6YVrJnYvDTFzXMfAi3Eixo3bhy//PILvr6+nDhxgkqVKnHo0CGOHj2Kra2txloCr1NBrhkAMHDgQAICAhgzZgwhISFUrVqV3bt389tvvzF69GgqV66sFu/m5oazszOhoaGqtlatWlGyZEk8PDxUuwmsWrWKkJAQJk6ciJubW4HmLIQQQggpBggh3nKZmUo+33ILQz0F6ak5z6FefjyCyTtCqetsjt/7ZXgUn8rPxyM4dTuO7YPdsTSW/xSKgmVra8vhw4cZM2YMy5cvV+0CsH//fmrXro2xsXFhp1hg9PX12bVrF5MnT+a3335j4cKFlClThjlz5qiNFMhLly5d2LRpE/PmzSMmJgYzMzM8PDzw9/enc+fOr/gOhBBCiKJJ/gUshHirrTr9gKsPEvmoYUn899/VOP44MY0Ze29Tw9GUdb5VVFs41nG2oPvKKyw8co8JzUu/7rRFEVCmTBk2bNig1hYVFUVUVBSlS6v/nXt2MUAXF5dcFwj08/PDz89PrS0oKOil830ZlpaW/Pjjj/z444/5xuZ0X+PGjWPcuHGvIjUhhBBC5EKKAULkIzktkwWHw9l0KZJ7T1Ix0FVQ0sKAZhWtmejjrIrbfCmSDRcjuXw/gaiENCyM9GhQxoJxzUrjbGOk1qfjlGN8UMOObjXsmLn3NpfvJ2JlrEf/OvZ81MiRmKR0pu0MZfc/0SSkZtKgjAWz2pXD3uK/Ie3f77/D7KC77B1enZWn7rP9ymPiU9Kp6mDGFy1KU7u0Rb73plQqWXXqAWvPPiQ4MgkdBVQvacZoLycalLFUi113/hErTkQQ8jiZtAwldmb6vFfKnKmtXLAx0X/JT/nF3H+Sysw9txndxAlbs5xz2Hn1MYmpmfSr66AqBAA0LGtJZXsTNlx8JMUA8UokJSVpjACYOXMmAD4+PoWRkhBCCCGEihQDhMjHpG23WHfhEb1qlaCqvSmpGZmERCVzJCRWLW7lqfvYmOjTt3YJipno88+jJNaefcDR0CfsG14dG1P1h9W/IxLYfT2a3rWK06WaHVsvR/HNntsY6Onwx4VHlLIy5FOvUoQ+Tmb5iQg+3niD3z5Un3sLMGpDMAZ6Ooxo5MiT5HRWnrpP95VX+KNfFTyczPO8t1EbbrDpUiRtKheje007UtKVbLwUSY9VV1ja3ZUWlbLm3v9x4RGfbLxBs4pWdKtRHD1dBeGxKewLjuFxYnq+xYCYpHQyM7XbBs3UUBdDPR2tYifvCMHBwoDBng5suJjz1mPn7yUAUMtJcz/290qZs+rUAx7Fp2JnJmsHiILVokULypUrR61atcjIyGDPnj1s27aNBg0a0LFjx8JOTwghhBBFnBQDhMjHX9ce09OjBDPals0zbnVvN0wM1PcEb1HJmm4BV/jl7ENGNHJUO3btYSJbBlZVPbD38ChO3TlnmbozlH517JnWuoxa/M/HIrgRmUR5W/U3jYZ6OmzoXwV93awH6I7utjRbeIGpf4WxeWDVXPPdcTWKDRcjmdWuLL3e+2/broH1HGi39BJf7gjFx9UahULBX1cfU8HOmFW91BfxGtdMuzfqLRdf5G5MilaxszuWo3vN4vnG7b4ezfYrj1nf7797z8n9J6kAaqMqsjn823b/iRQDRMFr164dq1evZuPGjSQlJVGqVCnGjh3LlClT0NXVzb8DIYQQQohXSIoBQuTD3FCPc+HxhD1O1hju/7TsQoBSqSQ+JYO0DCVuxU2wMNLlfHi8RnwtJ3O1N/cGejrUcDRj1/Vo+te1V4ut62zOz8ciCIlK1igGDKzvoPYwXM7WmPcr2bD1chRRCWkUM835rf2GC5FYGunSspINjxPS1I75VLTm+6C73IpKppytMeaGutx/ksrx0CfUc8l/+sGz5ncpT1JaplaxrsVN8o1JTM1g0rZbdK1ul28+SWkZABjmUDDIHoGgbW5CPI/PP/+czz//vLDTEEIIIYTIkRQDhMjH1FYujNpwA88fzlHO1oi6pS1o7mqNT0VrdJ6ag34hPJ7v9t3heNgTjYfL2OR0jX5LWxtqtGWval/aWr3oYGmU1R6dlKZxzrPFAYCKdlltYdHJuRYDgiOTiE3OoPp3p3M8DhCZkEY5W2NGNnbkRNgTuqy4THEzfWqXNqdxOSs6uttiZpj/G05t1i94HrP23SEhNYPJLZzzjTXWz8ovJSMTYx31XFPSM/+N0W5aghBCCCGEEO8KKQYIkY+WlWw4/klN9gXHcDz0CYduxfLL2YfUd7FgbV839HV1uBuTQteAy1gZ6zHWuxRlihmpHjCH/xFMTouCP72YnbbHcllc/IUolVDcTJ8fOpfPNSb7LX3ZYsbsH1GDw7diOXwrluNhTxi39Razg+6wZaA7TlaahY2nRSWkkaHlmgHmRrqqB/ic3IpKYvmJCIY1cCQuJZ24lHTVNQAexqcSEpWEo6UhBno6qukB95+kUqaYeuEkIo8pBEIIIYQQQrzLpBgghBasTfTpUt2OLtXtUCqVfLP7NguP3GPvPzG872bDX/+uWL+yZ3k8n1qFPyktg9gkzVEBBelGZBJV7E3V2v55lARAaavcpzWUKWbE/uAYapcyx9gg/7f7hno6NKtoTbOK1gDs/SeavmuuseTYPb5qVSbPc1svuVRgawbcf5JKRibMPxTO/EPhGscn/BmSld/w6lQqYUKNkqasBs7cjdcoBpy5E0dJSwNZL0C8U0JDQylTpgxTpkzR2IJQCCGEECKbFAOEyENGZtb8/+zh+wAKhYKqDlkP39GJWW+js6ejP/vue9Hhe2j5QvyFLT0WQWs3G9W6ATcjk/jr2mNqlTLLdbs9gK7V7dh9PZqZe+8wtZWLxvGnV9h/nJCmsRuCu+ozyL/YUZBrBrgWN+GnbhU12o+FxhJw8gHDG5SkuqMZjpZZubesZMPkHaGsOBFBJ3db1aiLIyGxXL6fyEcNS2qVlxCi8Ny5c4fp06ezZ88ewsPDsbGxwcPDg88++4zGjRtrxK9evZrZs2dz9epVzM3Nad26NTNnzsTe3j6H3oUQQoiiSYoBQuQhPiUDD//T+LjaUNXBFFtTfW5HJ7Pq9AOsjPVUb8m9K1hjpH+bjzfcoF8de0wNdTkSEsvFewlYm7zaX7OU9Ew6L79M+6q2xCWnE3DqPjoK+LKlS57nta2StZ3g0uMRXLwXT9MK1tiY6BHxJJUzd+MIfZzMsU88AOgReBULI13qlragpKUBT5Iz+P38QxQK6FzNNt8cC3LNgGKm+rStUkyjPSE1A3hArVLmvO9mo2q3MdVnfLPSTPkrlG4Bl+lUzY5H8aksORaBs7Uhwxs6avQlhHhzPHjwgPfee4/U1FSGDBlChQoViIiI4Oeff8bb25stW7bQpk0bVfy8efMYNWoUjRo1Yu7cudy/f585c+Zw5MgRTp06hZWVVeHdjBBCCPEGkWKAEHkw1tdhYD0HDofEcuhWLImpGRQ3N6CFqzUjGzlS3Dzr7bOLjRGrelXi2723mXvwLga6OjQsa8n6flXosuLyK83xh87lWXXqAfMO3SU+JYOqDqZM8nHmvVLm+Z47u2PWtIY1px8w/3A4aRmZ2JkZ4O5gyvjm/20b2Pe9Emy9HMXqMw+ISUrH2liPqg6mTGtdhgZPTYt4Uw2s74CViR4/Hb3HlztCMDXQxcfVmonNnbEylv8MCvEmW7VqFQ8fPmTTpk106NBB1d6rVy/Kli3Lzz//rCoGREVFMWHCBGrXrs3+/ftVWzg2atSIZs2aMWvWLL755ptCuQ8hhBDiTSP/ChYiDwZ6OkzwyX/FeoAGZSzZMtBdo/3EaA+NtvCp9XPsY26n8sztpLmgn2cZy1zPMTPQZUbbssxoWzbX3EpZG+V6ftfqdnStbpfruQC93itBr/dK5BlT2LrXLJ7nWgPa3KcQycnJzJw5k7Vr13Lnzh0MDAwoVaoUbdq0YebMmaq4X3/9lTVr1nD+/HkePnyIlZUVTZs2Zfr06ZQtq/67qFAo+PDDD/H19WXixImcP38eGxsbRo4cybhx44iOjmbs2LFs3bqV+Ph4mjZtypIlSyhZ8r8pLH5+fkydOpVLly6xcOFC1q9fz5MnT/Dw8GDWrFk0aNAg33tTKpUsXryYpUuXcvXqVXR0dKhduzZffvkl3t7earGrVq1i3rx5BAcHk5aWRokSJfD09OSHH36gWDHNkTmvUmxsLIDa5wFQokQJdHV1MTX9b82UTZs2kZCQwMiRI1WFAICmTZtSvXp1Vq9eLcUAIYQQ4l9SDBBCCCH+9dFHH7Fy5UoGDx5MzZo1SUlJITg4mH379qnFLVy4EFtbW4YNG4adnR1Xrlxh6dKl7N+/n7///htbW/XpM+fOnWPr1q0MHjyYPn368PvvvzN+/HgMDQ1ZtWoVLi4u+Pn5cePGDX788Uf69u3Lnj17NPLr06cPhoaGTJgwgZiYGBYuXEizZs04cOAAdevWzfPe+vTpw9q1a+natSv9+vUjJSWFNWvW4OPjw4YNG2jfvj0AgYGBfPjhh7Rp0wZfX1/09fW5ffs227dvJzIyMt9iQHR0NBkZGdp83Jibm2NomPduJD4+PkyfPp3hw4fz3XffqaYJfP3115iamjJmzBhV7KlTpwCoX1+z+Onp6cmiRYt48OABJUq82cVNIYQQ4nWQYoAQQgjxr40bNzJo0CAWLlyYZ9yOHTvU3kgDtG/fnqZNm7J06VLGjx+vduzSpUscO3ZM9cA+YMAAnJ2d+fTTTxkxYgQ//vijWvycOXO4fv06rq6uau1GRkYcPHgQff2sBT179uxJ1apV+fTTTzly5Eie97VmzRqWLFnCoEGDVO0ff/wx9erV4+OPP6Zdu3YoFAo2btyIm5sbf/75p1ofX3/9dZ6fSbaaNWsSFhamVeyKFSvw9fXNM6ZJkyYsWLBAYwRDhQoVOH78OG5ubqq28PCsHUYcHTXXAnFyclLFSDFACCGEkGKAEEIIoWJpacmJEye4deuWxnD/p2UXApRKJXFxcaSmpuLu7o6lpSUnT57UiK9fv77am3sDAwPq1KnDli1bGDVqlFpso0aNmDNnDsHBwRrFgE8++URVCACoWLEinTp14vfff+fRo0fY2eU8FWb16tVYWVnRoUMHIiMj1Y61a9cOPz8/goODqVixIpaWloSHh3Pw4MEcV+rPz5o1a0hKStIqtkqVKlrFOTg4UKVKFXx8fKhWrRo3b95k1qxZtGnThgMHDlCqVCkAEhMTAXIcbWBkZKQWI4QQQhR1UgwQ4i01xrsUY7xLFXYaQrxT5s6dS58+fShXrhyurq40atSItm3b0q5dO3R0dFRxp0+fZvLkyRw8eFDj4TImJkaj35wKC9bWWbuRlClTJsf2qKgojXMqVaqk0Va5cmUAbt26lWsx4OrVq8TExOT5RvzBgwdUrFiRiRMncvDgQZo0aYK9vT0NGzbEx8eHHj16YG6e/8Kk2qxf8Dw2bNhAly5d2LlzJy1atFC1t2jRgho1ajBp0iRWrVoFgIlJ1takKSkpGBsbq/WTnJysFiOEEEIUdVIMEEIIIf7VoUMHQkND2b59OwcOHGDPnj0sXbqUJk2asHv3bvT19QkLC8PLywsbGxumTp1KhQoVMDExQaFQ8L///Y/MzEyNfp9ezE7bY0qlssDuS6lUYm9vT2BgYK4xVatWBbKG31+5coW9e/eyd+9eDhw4wJAhQ/Dz8+PYsWM4O+e9qOqjR4+0XjPA0tJS46H9WT/88APm5uZqhQDIGlVQqVIlDh48qGrLnh4QHh5O+fLqi7HevXtXLUYIIYQo6qQYIIQQQjzFxsaG3r1707t3b5RKJePHj2fWrFls27aNjh07qlas//PPP/Hy8lKdl5SURHR09CvN7dq1a1SvXl2t7cqVK4DmCIOnVahQgR07duDp6anVm3FDQ0Nat25N69atAdi+fTtt2rRhzpw5zJ07N89za9euXaBrBty/f5/MzEyUSiUKhULtWHp6ulrhoXbt2vz0008cO3ZMoxhw7NgxSpUqJesFCCGEEP+SYoAQL6DrisvciUnJcdvAt9XRkFg+CLii+n5C89KMaCRv0HLTdMF5rj/MmhftZGX4Tv1dKKoyMjKIi4vDyspK1aZQKKhZsybw37D97Df5z765nzVrVo6jAgrS3Llz6dy5s2rdgH/++YeNGzdSv359ihfPfWvNvn37snXrViZNmsScOXM0jj+9wn5kZKTGbggeHll/v3OauvCsgl4zoHLlyvzzzz+sX7+erl27qtpPnDjBP//8o9oFAbJGdowaNYp58+bRs2dP1c9q//79nD9/nnHjxmmVlxBCCFEUSDFACKGmV63i1HW2oKqDaa4xSqWSDsv+5sydeFpWsmZ5D815zLeikvhm922OhsSSmqGkir0po72c8Cpv9dI57g+OZu6BcC7fT8BQT0F9F0sm+pSmbLG8hxvnJzNTyfIT9wk8/YA7MclYG+vRpnIxPmtaCnMj9f9cTmjuzJPkdH48GE5y+qt9ABSvR1xcHA4ODrRv356aNWtSvHhxQkJCWLRoETY2NrRp0waAVq1aYWxsTN++fRkxYgTm5ubs27eP06dP57vt3stKTk6mcePGdO/endjYWBYsWICOjg7ff/99nudlbyc4d+5cTp8+TevWrbG1teXu3bscO3aMGzducOvWLSBrLr6VlRWNGjWiVKlSxMTEEBAQgEKhoFevXvnmWNBrBkyYMIEdO3bQq1cvDhw4gLu7O7du3WLhwoUYGBgwefJkVaytrS3ffPMNn3zyCU2bNqVXr17cv3+f2bNnU7ZsWSkGCCGEEE+RYoAQQk2tUuZ0qZ7zImTZVp16wLUHua/IfTs6mfZL/0ZHAUM8S2JlrMfv5x/SZ/VVlv3PlRaVbF44v53XHjPw1+u4FjfhCx9nEtMyWHY8gg5L/2b7YHdKWRu9cN/TdoWx5FgELVytGeLpwK2oZJYdj+BceDwb+1dFT/e/Ico+rlmLvK09+5A7MSkvfE3x5jAxMeGTTz5h79697Nmzh/j4eFVxYOLEidjb2wNQrlw5tm3bxqRJk5g2bRqGhoY0a9aMAwcO0KRJk1ea46pVq1i0aBHffPMNT548wcPDg2+//Zb69evne+7y5cvx9vZmyZIlzJgxg9TUVOzt7fHw8GDGjBmquGHDhvH777/z008/8fjxY4oVK0bNmjWZN2+e2tZ+r0udOnU4e/Ys06ZNY9u2bSxZsgRzc3OaNWvGlClTqFGjhlr8xx9/jI2NDd9//z2jRo3C3Nyc9u3bM3PmTNXijEIIIYSQYoAQ4jk9iEtl5t7bfOpVimm7cp4XPGPPbWKT0tkxpJpqhEH3msXxWXSBSdtDaFrBWu3BWlvpGUombQvBwcKATQOqYmaYNQS4RSUbmi+8wMy9t1nQteIL3dc/DxNZejyCVm42LP3ff9u5lbc1Zszmm/x67iG935O5xu8yAwMDtYfivHh7e3P06FGN9tDQUI223BYCDAgIICAgQKPdy8sr13PMzc1ZuHAhCxcuzDU3FxeXXM/v06cPffr0yfVcgEGDBjFo0KA8Y163ypUrs3btWq3jtblPIYQQoqjTyT9EiLfTvuBoHKccI+Dk/RyPe80/T4Mfzqq+P3c3jk823qDBD+co9/UJKn1zkg8CLnP4VqxW13OccoxPNt7QaP/t3EMcpxzjaIh6P0+S05m+K4wGP5ylzFfHcf/2FMPX/UPY4+TnuMvXb/L2EBwtDRlYzyHH44mpGey89pj6LupTDYz0dehb2557sakcD3vyQtc+FvaEiCep9PAooSoEQNYDe9MKVvx19TGJqdqtYv6sTZciyVTCoPrq99W1uh3WJnpsuPjohfoVQgghhBDiTSTFAPHOalLOiuJm+qy/oPkQd/FePMGPkuhS7b/h8H9dfcytqCQ6uhfjq/ddGOJZkrDHyfRYdYVjodoVBLT1JDmdDkv/ZuWp+zSrYM201mXoV8eeIyFPaPvzJe5qMew8KTWDxwlpWn09SU4vkLz3/BPN9quPmdG2TK5v9q8+SCQlXUmtUpr7kb9XygyAC+HxL3T97PNq/duPet/mJKcrufYw9+kLefZ9Lx4dBdRwVO9bT1dBTUczLt5LKNCt3oQQQgghhChMMk1AvLN0dRR0dLdlybEIbkUlqS0u98eFRygUqM2N/7iJExMM1Pf77lu7BF7zzzP/UDj1XSwLLDf/fXe4HZPC1oFVqWz/39vzbjWL02zhBfz332Fup/J59AALj9xjdtBdra5X38WCP/rlv2p3XhJTM5i0LYRuNeyoXdoi17j7cakA2JsbaBxzsDBUi3le95+k/ttPTn0bqMW8SN82JvoY6mnWSB0sDEhKyyQmKR1rE/0X6l8IIYQQQog3iRQDxDutaw07lhyLYP2FR3zWtDSQNe9886Uoapcyx9nmv8XmTJ4qBCSmZpCcnomCrDfFZ+/GFVhOSqWSDZci8XSxwN7cgMcJaf/loK+Dh5MZB2/G5H9v1e2oXVrz7XtOrIxf/lf9u313iE/J4Asf5zzjktKyVtbP6aHaUE+hFvO8ktKypgAY6ObUt85L9p2JgV7Oox2e7luWHxOFwc/PDz8/v8JOQwghhBDvECkGiHdaFXtT3EqYsOFiJGO9S6FQKDhwM4bIhDQ+b1pKLfZRfCoz99xm1/VoHieqD6tXPP9ad7mKSkgnOjGdfcExuM86nWOMjhbXc7YxUitmvEp/RySw7EQEM9uWxcY07zfjxvpZD84pOWy3l5KuVIt5Xsb6WQWb1Iyc+s58yb51SEjIeTrFy/YthBBCCCHEm0aKAeKd17W6HdN2hXHydhx1nS1Yf+ERRnoK2lX9bz/wzEwlPVZd5VZUEoPqOVC1pBkWhrooFDD/UDhHQl5swTuAjEz1eeZKsr73Km/JEM+SL9xvQkoGCVoulqevq3ip4e1f7gihjI0x9VwsCIlKUjuWmJpJSFQSlsZ62Jjoq6YH5DQVIOJJ1loIOU0h0Ib9v1MBIp6kUsHO5Jm+U9ViXqTvfx4lkZKeqTGqIeJJKsb6OgUywkIIIYQQQog3gfzLVrzzOlez5Zs9Yfxx/hFV7E3ZeT0aH1cbLIz+++t/9WEiVx8k8qmXE2O81UcMfLfvjlbXsTLWIyZJ881yWLT6YoDFTPSxNNIlPiWTxuWsnv+G/rX46OtbMyA8NpW7MSk0+vG8xrFDt2Jp+ON5hng68GVLF9xKmGCop+DMHc2pFWfuZC0AWM1RcwFAbVT/97wzd+I1Prszd+Iw0lNQqbhJDmdq0XdJM4JuxHI+PJ66zv+tiZCRqeR8eDzuDqYoCnKIiHjjeHl5ERoamuP2gG+roKAgvL29Vd/PmDGD8ePHF2JG744RI0awYMEC1fchISG4uLgUXkJCCCHEc5Ixr+KdV9zcgMZlrfjzShTrLzwiOS2TrjXs1GJ0/33Ie3ax+KMhsZzTcuX7ssWMOHMnjqSn3tbHJKXz+7mHanE6Ogo6VbPl9J04/rr6OMe+IuPTcmx/Wtfqdqzt66bV15ct857nn58ZbcvwU7eKGl8ANRxN+albRT749zM1MdClhasNx0Kf8HdEgqqP5LRMVp66j4OFAfWdc1+AMC/1nS2wtzBg7dkHJKT89znfiExib3AMLSrZqK398Dw6uNuiUMDSYxFq7X9ceMTjxHQ6VbN9oX6FeBMMHjyYwMBA2rVrp3Hsr7/+okGDBpiammJjY0Pnzp0JDg4u0Ovfv38fa2trFAoFc+fOzTHmbcvjww8/JDAwkE6dOhVojkIIIcTrIiMDRJHQtYYd+2/EMGPPbezM9PF65q1yeVtjKtgZs+hIOMnpmZSxMeLaw0R+P/+ISsVNuPog/+3q+tW1Z+T6G3yw8gpdq9kRm5zOL2cf4mhlyMNnHu7HNSvNqdtxDPztOu2rFMPDyRw9XQXhMSnsC47GvaRZvrsJvM41A5pWyH3ZvBLmBrStUkytbULz0hy6FUvPwCsMqlcSS2Ndfjv3kJDHySzt7qqxLaHjlGM4WRlyYrRHnnno6Sr4urULg377hw7L/qZ3rRIkpWWw9HgEZoa6jG9WWi3+aEgsHwRc4YMadvl+nq7FTRhQ14GlxyPov/YazStaExKVzNLjEdR0NKOHR/E8zxfiTVa/fn169+6t0b5582Y6d+5M1apVmTVrFgkJCfzwww94enpy6tSpAnvT/fHHH5OenvsWp29jHrVr16Z27drcuHGDjRs3Fkh+QgghxOskxQBRJLSsZI25oS5xKRl0r1lc42FUT1fBql6V+GpnGGvPPiQ1IxN3B1MCerry27lHWhUDOlez4/6TVAJO3mfqzlBKWxsxuokTCgWcu6s+usDCSI/NA6qy+GgEf16OZOe1x+jqKHCwMKROaXN61Hq7HzydbYzYPLAqM3aHsfBIOKkZSqrYm7CqVyWNwkL8v2/4tV1HoJVbMVb1qsTcA3eZtjsMQ10F9V0smODjrFEciU99vr6ntHTG0dKA1WcesD84BmsTPXq/V4LPmpZCP4cdDIR4m6WnpzNixAicnJw4fPgw5uZZu5N06NABd3d3Jk6cyC+//PLS19m+fTt//PEHM2bMYNy4cUU+DyGEEOJNIcUAUSQY6+tybWKdPGNKWxux9H+uGu31XSw13irnNv9+eENHhjd01GjvXlPz4d7YQJfRXk6M9nLKM6/XLTE1g8cJaRgb6KhW789N+NT6uR4rb2vMsh6V8r3e0ZBYAD5vViqfyP80rWCd52iF//p+gpWxLkM8HbTqV0dHwWDPkgzWYmHH2KR0MjKVpGUo840VBWfHjh20bt2aBQsWMHz4cI3jlStXJjU1lRs3bgBw8uRJFi5cyJEjRwgPD0dfX59atWrxxRdf0LRp03yvp1Ao+PDDDwkICFBrDwgIoF+/fuzfvx8vLy9Ve2xsLN988w3r16/nzp07WFhY0Lx5c6ZPn07ZsmVf6t4L2oEDB7h79y5fffWV6sEXwNXVldatW7Nx40YSEhIwNTV94WskJCQwfPhwBg8eTJ06Of83uCjlIYQQQrxJ5FWXEELNF9tDcZ91mmXH77+W6wXdiKF5RWsalLEs8L4P3IhhZCOnl9pJITedlv+N+6zTnM5hoUTx6rRo0QJ7e3sCAwM1jp05c4arV6/Sp08fVdvGjRv5559/6NGjBz/88ANjx47l5s2b+Pj4cODAgQLNLTY2Fk9PTxYuXEibNm2YN28eI0aMYN++fdStW5ewsLB8+0hMTCQyMlKrr9jY2JfK99SpU0DWFIJneXp6kpyczN9///1S15gyZQpJSUl88803kocQQgjxhpGRAUIIACrbm7K2r5vq+7LFjF/Ldb9p++relu4fUeOV9f1d+3KqrR2N9aWu+rro6urSs2dPZs+eTXBwMBUqVFAdCwwMRKFQqBUDvvjiC2bMmKHWx9ChQ6lcuTIzZsygSZMmBZbbl19+SUhICMePH6datWqqdl9fX9zd3ZkyZYrGCINnzZo1i6lTp2p1vSZNmhAUFPTC+YaHhwPg6Kg5msnJyUkt5kWcP3+eH374gWXLlmFtnftInqKShxBCCPGmkWKAEALI2hrxZbY6LGpqlTLPP0i8En379mX27NkEBgby1VdfAVnzvdeuXUuDBg3UhuM/PaQ7ISGB5ORkFAoFderU4dixYwWWk1KpZM2aNXh5eVGyZEkiIyPVcqhXrx67du3S6t4aNmyo1TXzerDVRmJi1loohoaGGseMjIzUYp5XZmYmgwcPpkGDBvTt27fI5yGEEEK8iaQYIIQQ4q1SvXp1qlWrxurVq5k6dSoKhYJdu3bx8OFDvv76a7XYBw8eMHHiRLZs2aL2gA5Z6wEUlEePHhEVFcWOHTuws7PLMUZHJ/8RJGXLln1tawuYmJgAkJKSonEsOTlZLeZ5zZ8/n/Pnz3P+/HnJQwghhHhDSTFACCHEW6dv376MHTuWw4cP06hRIwIDAzEyMqJbt26qmMzMTFq0aMH169cZPXo0Hh4eWFpaoqOjw4wZM9i3b98LX//Z7emUyqyFJFu2bMnYsWNfuN/4+Hji4+PzDwQMDAywsbF54WtlD4cPDw/Hzc1N7djdu3fVYp5HbGwsX3zxBf/73/8wMDBQLeaYPcQ+MjKSGzduULJkSUxMTN75PIQQQog3lRQDhHgJ3++/w+yguxz/pCalrI3yP0EIUSB69erFuHHjWLVqFTVq1GDz5s20b98eS8v/FqK8dOkSFy9eZMqUKfj5+amdP3nyZK2uY2Njw+PHjzXab926pfa9nZ0dVlZWxMXF0bx58+e/oX/5+/u/tjUDateuDcCxY8c0cj527BhGRkZUrVr1ufuNjo4mLi6OwMDAHBd6nD59OtOnT2fr1q20bdv2nc9DCCGEeFNJMUAIUahik9JZejyC+i4WeL6CHQXEu8ne3h4fHx/WrVuHh4cHSUlJGnPCdXWztsbMfmufLSgoiBMnTmh1nYoVK3Ls2DESExNVQ8Sjo6NZsWKFWpyOjg69evViwYIFbNq0iY4dO2r09fDhQ4oX19xm9Gmvc82AJk2a4OjoyNKlSxk9ejRmZmYAXL9+nW3bttG5c+cX2kavePHirFu3TqP98uXL+Pn54evrS5s2bXjvvfeKRB5CCCHEm0qKAUKIQvUkOZ3ZQXf51MtJigHiufTt25e//vqL8ePHU6JECVq2bKl2vFKlSri5uTFr1iySkpKoUKECly5dIiAggKpVq3Lp0qV8rzFixAh69+5N06ZN6dOnDzExMfz88884Oztz/7769pvTp0/nyJEjdO7cme7du1OvXj309fUJCwtj+/bt1KpVK9/dBF7nmgF6enrMmzePLl260KBBAwYPHkxiYiJz587FwsJCYxu+oKAgvL29+fDDD/O8DxMTE7p27arRbmtrC2St+fD08bc1DyGEEOJtJ8UAIYQQb6WOHTtiYWHBkydP6N+/P3p66v9L09PTY9u2bYwZM4Zly5aRkpKCh4cHW7duZcWKFVoVA3r16kV4eDgLFizg008/pWzZsnz55Zfo6OhojC6wtLTkyJEjfP/99/z+++9s2rQJPT09nJycaNiwIQMHDizQ+y8InTp1Ytu2bUybNo3PPvsMQ0NDvLy8mDlzpkZRIi4uDng18+bfxjyEEEKIt50UA4TIRUp6Jj8fi2DTpUhCopIw1NOhbDFjer9Xgv955D7U98ajJJYej+B42BPuxaaQqYRKJUwY4lmSdlWKqcWGx6bw/f47HL4Vy6P4NMyNdHGxMaJvbXu6Vs9akTwzU8myE/f57dxDbkdnbYtW3Eyfus4WfNuuLLo6Bbciuja0yRmyhmavOvWAtWcfEhyZhI4Cqpc0Y7SXEw3+HQFwNCSWDwKuADA76C6zg7IW6XKyMuTEaA8A0jOULD56j3XnH3E7OhlTQ108XSz4vFlpytsaq66n7ed04EYMa88+5Hx4PA/jUzHW1+G9UhZ81rQUVR1kCPDbxNjYmNjY2DxjypQpw4YNGzTamzRpovFWObf5959//jmff/65Rruvr69Gm4mJCZMnT9Z6TYLXJT4+nsjISExNTTE2NlY71qpVK1q1apVvH/v378fa2poxY8a8UA5eXl4aUzbe5jwSEhJISkqS7QaFEEK8taQYIEQOUtMz6bHqCifC4mhawYoPatihr6PgyoNEdl57nGcx4GhoLKfvxNHS1ZpS1kbEJqWz/uIjhv7+D6mdy9Pl3wfm9AwlPVZdISYpnd61SlDa2oiYpHSuPEjgZNgT1YP1DwfD8d9/h87VbOlbuwQAt6NT2HX9MWkZynyLAY8T0rS+b3MjXfR1c9/+TNucAUZtuMGmS5G0qVyM7jXtSElXsvFSJD1WXWFpd1daVLKhgp0xfu+74PdXKK3cbGjllrUyuqmBrqqfEeuD2Xo5Cq/ylvjWKcH9J6msOHmfQ7di2TrQnfJ2xs/1Of1+/iFPktPpXtOOEuYG3I5OYc2ZB3Rc9jd/Da2mVmAQ4l0xcuRIRo4cyYwZMxg/fvwL9bFz504mTZr0UjsYFIQ3JY9x48axYMGCQs1BCCGEeBlSDBAiBz8fi+BEWBxjvJz41LuU2rHMzNzfKAF0rW5H39r2am3969nTcvFFfjh4V1UM+OdRIjcjk1n4QQU6VLXNtb+/rj3Gu7wV87pUUGv/ooWzVvfiPuu0VnEA63wr5zlvX9ucd1yNYsPFSGa1K0uv90qo2gfWc6Dd0kt8uSMUH1dr7MwMeL+SNX5/heJWwkT12WQ7eDOGrZej6ORuy7wu5VX7wreoZEOHZX8zdWcogb2ztgDT9nP6rn05TJ4qNgB0rWGHz8IL/Hwsgm/byVBg8e6oXr06u3fvVn1foUKFPKLzdvny5YJI6aW9KXmMHDlSbaFIe3v73IOFEEKIN5AUA4TIwcZLkdiY6DGikeacVJ183sQ//aCZlJZBUlomKMHTxZLA0w+IS07H3EgPC6OsX799/8TgVc4KS+Ocfx3NDXW5/iiRK/cTqGz//MPY1/Z1yz/oX/n1r23OGy5EYmmkS8tKNhojE3wqWvN90F1uRSVTLp+38DuuZm3pNqqxo6oQAFCrlDkNy1hy8GYsSakZGBvoav05Pf3ziU/JIDU9ExtjPcrZGnM+XLv93YV4W1hbW7/UVocid66urri6uhZ2GkIIIcQLk2KAEDkIeZxM9ZKmGOjlPmQ+N/EpGfjvv8PWvyO5H6c5RP9JcgbmRno4WRkyqrEj8w+Fs+lSJO4OptR1NqddVVtqOJqp4sc3L82AtdfxWXQRJytD6pQ2x7uCFW0rF9Mqv8blrJ77HnKjbc7BkUnEJmdQ/bvcRyVEJqTlWwy4E52Cno4ix7iKxY05dCuW8CeplLc11vpzColKYsae2xy8GUtcSoZan6WtDbX9KIQQQgghhHirSTFAiJwolbzosnwf/RHM3uBo+r5XgjrOFlgZ66GjgN/PPWLjpUgyn1q4alyz0vyvZnH2/hPNidtx/HruIYuPRjCikSMTmpcG4L1S5hz9uCZBN2M4GhLL0ZAnbLgYyY8Hw9kysKrqbX1uHsalap27lbFevgUGbXJWKqG4mT4/dC6faz+uxU20zksb2nxO8SkZdFlxmZT0TIZ4lsS1uDGmBrooFOD3VygJqZkFmpMQQgghhBBvKikGCJGDMsWM+edREmkZmXkuqPes2KR09gZH07W6Hd+0VZ97/uvZhzme42xjRP96DvSv50ByWia9Aq+w4HA4Qz0dsDbRB8DUUJc2lYvRpnLWbgQBJ+8zaVsIv517xKD6DnnmVNP/jNb557dmgLY5lylmxP7gGGqXMsf4mfn5z3p6+P+zSlsbkp6p5GZkEhWfKR4EP0pCT0eBo4WBqi2/z+lISCwP4tKY3bEc3WuqLwIZk5T+XD9rIYQQQggh3mbyL18hctDJ3ZbHieksOHxP41heW1Jlr1j/bMiNyCR2Xnus1vYkOZ20DPU30Ub6OpS3M0GphNjkrCHsOe0G4P7vFnjRifnvFLC2r5vWX/mtGaBtzl2r25GeqWTm3js59vMo/r/RCiYGWf8ZiklK14h7/9/dBeYdCldrP3c3jkO3YmlczlJVbNDmc9LJpfDw+/mHPMhhSod4N/n5+aFQKAgNDS3sVIq80NBQFAoFfn5+r/Q68jMXQgghNMnIACFyMLC+A7uuR/PdvjucvRtHwzKW6OsquPogkciENJb3qJTjeWaGujQqa8mGi48wMdChqr0pt6OTCTz9gAp2JlyKSFDFHg15wudbb9LarRjlbI0xNdDh4r0E1p59wHulzHGxMQKgyfzzeDiZU9PJDHtzAx7EpbLmzAMM9RS0q1os33spyDUDtM25bZWs7QSXHo/g4r14mlawxsZEj4gnqZy5G0fo42SOfeIBgI2JPi42Rmz+OxJnayPszPQxNtChhasNjctZ0a5KMTZcjCQmKZ2mFay4H5dGwMn7mBvqMqWliyo3bT6n2qXNsTXV56udodyNSaG4mQHnwuPYeS0aFxtD0mWWgBBCCCGEKCKkGCBEDgz1dPjtw8osOnKPTZciOXTzNsb6OpS1NabPU1vl5WR+lwp8vSuMHVcf8/u5h1QsbsJ3Hcpx7UGiWjGgsr0JrdyKcSz0CRsvRZKRqcTR0pCRjRwZ4llSFTfEsyT7gqNZfiKCuOQMipnq4+FkxshGjriVeP7dBV6GtjkDzO5YHs8ylqw5/YD5h8NJy8jEzswAdwdTxv+7tkC2+V3K4/dXGDP33iYpLRMnK0NauNr8e6wCVexNWXfhIV/tDMPEQJcm5Sz5vGlpytv9t7CgNp+TlbEea/q48fWuMH4+FgFkrTWwzrcyX+4I5U5Myqv8+IQQz3B2diYpKQk9PfnniBBCCPG6KZR5jXkW4g129uxZatWqxV9D3HEvaZb/CUIUokv34nn/p0ucOXMGDw+Pwk5HK9m/Y29Tztrw8/Nj6tSphISE4OLiUtjpvHPi4uIwNzcv7DTUvIqf+Zt4nzl5V3+PhRBCvDxZM0AIIcQ7IyUlhZkzZ1KtWjWMjY2xtrambt26LF++PM/zrl27xrBhw6hcuTLm5uaYmppSr1491q1bpxF7584d+vfvj7OzM4aGhhQvXhxPT08CAwNVMZmZmcydO5dq1aphbm6OhYUFrq6uDBw4kIyMDI0+X6Vx48ahUCi4cuWKxrGIiAj09PQYMGCAWvuePXto0aIFVlZWGBkZUa1aNRYvXqxxvouLC15eXpw+fZrmzZtjYWFB48aNAXj8+DGjR4+mbNmyGBkZUaxYMWrVqsXs2bNV5+e2ZoBSqWTx4sXUqVMHMzMzzM3NqVGjBt9++61a3KNHjxg2bBhOTk4YGBjg7OzM6NGjiY2N1eqzuXDhAh06dMDGxgYjIyPc3d354YcfNNaG8fLywsXFhRs3btCpUyesra0pXbp0Lr0KIYQQbwcZlyeEEOKdkJqaio+PD4cOHaJVq1b4+vqir6/PhQsX2Lx5M/3798/13KCgII4cOUKHDh0oU6YM0dHRBAYG0q1bNwIDA+nduzcA6enp+Pj48PjxY4YMGaKKvXDhAocPH6ZPnz4ATJ8+nS+//JJevXoxfPhwAG7dusWWLVtIS0tDVzfvXTYiIyO1vm9LS0v09fVzPd63b19mzZpFYGAgM2bMUDv2yy+/kJGRQd++fVVtS5YsYejQodSrV49JkyZhamrK7t27GTZsGDdv3uS7775T6+P27dv4+Pjwv//9j27dupGWlrUY5wcffMCJEycYNmwYlSpVIi4ujqtXrxIUFMSnn36aa75KpZKePXvy66+/0qBBA7744gssLS25fPkyGzZsYNy4cQDExsbSoEEDbt68yYABA6hRowanTp1i7ty57N+/n2PHjmFsbJzrdU6fPk2TJk0wNDRk+PDhlChRgg0bNvDJJ59w5coVfvrpJ7X4+Ph4vLy8aNKkCTNmzCAmJibXvoUQQoi3gRQDhBBCvBPmzJnDoUOH8PPzY8qUKWrHMjPzXh2yT58+DB06VK1t1KhR1KxZk6+//lpVDLhy5QrXr1/n119/pXv37rn2t/H/7N13eBRV98Dx75Yku5veeyEhtFATei/SLKg0FbH37s/ua+8NO3YRFUVRRFA60muAhE4gCSGk91422fb7IxJZNo0QiML5PM/7vGbmzp0zu+zOzpl7z/z+OxMmTOCHH36wWv7222+36Fi8vb1b1A5g/fr1jBw5stH1UVFRREdH8+OPP/Laa6+hVP4zKHDevHmEhYXV383Pzs7mwQcfZMaMGVax33vvvTz00EO899573HPPPYSH//Po1OPHj/PNN99wyy231C8rLS1l3bp1vPnmm/UX7y31yy+/8PPPP3Prrbfy9ddfWz1+9NT38e233yYpKYkvvviCO++8s355ly5deOqpp5g9ezaPP/54o/t56KGHqK2tZefOnURFRQFw3333MWnSJL788ktuv/12+vXrV9++sLCQ559/npdeeumMjkcIIYT4t5JpAkIIIS4I8+fPx8vLi6efftpm3akXwA1xdPynGGd1dTWFhYVUVlYyatQojh49SllZGVB3Fx5g+fLlTd4ZPnkne//+/a04ElizZk2L/9erV69m+7vxxhtJT09nw4YN9csOHDjAvn37mDlzZv0F98KFC6mpqeH222+noKDA6n9XXHEFZrOZv/76y6pvT09PbrrpJqtlWq0WBwcH1q9fT05Ozhkd+/z581EoFLz11ltWiQCwfh9///13/Pz8bKY4PPTQQzg5ObF48eJG95GXl8e2bdu4+uqr6xMBJ/s/+e+noe2bGtEghBBC/NfIyAAhhBAXhKSkJPr27Yu9vf0Zb1teXs4LL7zAggULyMrKsllfUlKCi4sLoaGhPPPMM7zxxhvMnz+f6Ohohg8fzvTp063uIr/++utcddVV9OrVi9DQUIYNG8aECROYNm1ai+K75JJLzvgYmjJjxgwee+wxvv/+e0aPHg1QX+Pg1CkCCQkJAIwaNarRvnJzc63+Dg8Pt0m22Nvb88EHH/DQQw8REBBAz549GTZsGFdffXX9/huTlJREUFAQXl5eTbY7fvw4AwcOtJlyodFoiIiIICUlpcltAatEwEknl52+vbe3d30ySAghhLgQSDJACCHEBcFisdjcSW6pGTNmsGzZMu655x6GDh2Kh4cHKpWKuXPnMn/+fKvh6a+++iq33nory5YtY/PmzcyZM4dZs2bx9NNP8/rrrwMwaNAgjh07xqpVq1i/fj3r16/nhx9+4LXXXmP79u3NXlSeyd10Dw+PZhMM3t7eTJgwgd9++41PP/0UjUbD/PnzGThwIJGRkfXtThbO+/HHH/Hx8Wmwr1OnCADodLoG2919991ceeWVLFu2jI0bN7Jw4UJmz57NjBkz+PHHHxuN9Wzex3OpseMUQggh/qskGSCEEOKC0KlTJw4fPozBYGiyoN7pSkpKWLZsGTfeeCOffPKJ1bo5c+Y0uE14eDgPPPAADzzwAHq9nvHjx/Pmm2/y2GOP4eHhAYCTkxNTpkxhypQpAHz66afcd999zJ07l4cffrjJmPz9/Vscf3M1A0668cYbWbp0Kb///ju+vr5kZmbyzDPPWLU5mRjw9vZuk9EJ/v7+3H777fVPUbjhhhuYP38+jz/+OL17925wm06dOrF06VIKCwvx9PRstO/w8HCOHDmCyWSyGh2g1+tJSUmhR48ejW7boUMHAA4dOmSz7uRTF05PegghhBAXGqkZIIQQ4oIwY8YMCgoKbB4/B9g8Ku5UJy8kT29z9OhRm3njpaWl9dXyT9JoNHTt2hWLxUJxcTHQ8NMATj7jvbCwsNljaeuaAQCTJk3Czc2NefPmMW/ePOzt7bn22mut2kyfPh0HBweef/559Hq9TR+lpaXU1NQ0u6+qqiqqqqqslqlUKnr27Ak0/RrMmDEDs9nM008/bfOenPr3VVddRU5ODnPnzrVqM3v2bMrLy7nqqqsa3cfJx0EuXry4fmoE1BUofPPNN+v7F0IIIS5kMjJACCHEBeHhhx/mjz/+4LnnnmPHjh2MGTMGOzs7Dhw4QG5ubqMF5Zydnbnkkkv44YcfcHR0pE+fPqSkpPD555/TrVs34uPj69uuX7+eO++8kylTptC5c2ecnJyIi4vj66+/ZvDgwURERADQtWtXBg4cyIABAwgICCA7O5svv/wSBwcHpk+f3uyxtHXNAKB+33PmzMHBwYHLL78cd3d3qzZBQUF89tln3H777XTt2pWZM2cSGhpKfn4+Bw4cYPHixRw+fJiwsLAm95WYmMiIESO4+uqr6d69O+7u7iQkJPDZZ58RHh7OkCFDGt12+vTpLFy4kK+++oqEhASuuOIKXFxcOHLkCDt27GDHjh0APPHEE/z666/cdddd7N69m169erFr1y6+/fZbevXqxf33399kjB9++CEjRoxg6NCh3Hvvvfj4+LB48WLWrVvHnXfeaVUDQgghhLgQSTJACCHEBcHBwYG1a9fyzjvvMH/+fNasWYNOp6Nz5842jw083Y8//sgTTzzBokWLmDt3LlFRUXz99dccOHDAKhnQq1cvJk+ezIYNG/jxxx8xmUyEhITwv//9j0cffbS+3aOPPsry5cv56KOPKC0txcfHh4EDB/L00083OXz9XLvxxhv58ssvqaqqsioceKpbbrmFTp06MWvWLL744gtKSkrw8vKic+fOvPLKK/j5+TW7n+DgYG699VbWr1/P4sWLqampITAwkDvuuIMnn3wSjUbT6LYKhYIFCxbwySef8M033/DCCy9gZ2dHREQEM2bMqG/n6urK1q1bee655/jjjz/45ptv8PPz48EHH+TFF19Eq9U2GWPfvn3ZunUrzz//PLNnz6aqqorIyEjef/99HnrooWaPUQghhPivU1iaGjspxL9YfHw8MTExfDylI5FeTf/oE6K9JRVU88BvycTFxdUPF/+3O/kZ+y/FLISwJp9jIYQQjZGRAeI/y8vLC51WwwO/Jbd3KEK0iE6rafZxaUIIIYQQQpwPkgwQ/1khISEkHDnaYKEuIf6NvLy8CAkJae8whBBCCCGEkGSA+G8LCQmRiyshhBBCCCGEOEPyaEEhhBBCCCGEEOIiI8kAIYQQQgghhBDiIiPJACGEEA3as2dPe4cghBBCCCHOEUkGCCGEsJGRkcETTzzR3mEIIYQQQohzRJIBQgghrFRXVzN48GCKioraOxQhRBuZM2dOe4cghBDiX0aSAUIIIaz89ddfpKent3cYQog2NH/+/PYOQQghxL+MPFpQNCstLY2CgoL2DkMIcQ55eXnVP6bziiuuoLy8nG3btjF+/HgSEhLaOTohRGud/PyuWLHCZp2c34W48J16fhfidAqLxWJp7yDEv1daWhqdu3ZBX1Xd3qEIIc4hjU7L0YQjVj8Y0tLS6Nq1K1VVVe0YmRDibOl0OhISEmw+3106d6VaL59vIS5kWo2OI0cTJCEgGiQjA0STCgoK0FdV03P2dThG+rR3OEKIc6AyKY/99/9EQUGB1Y+FkJAQEhIS5M6hEP9xDd0ZLCgooFpfxdTOs/HRdWynyIQQ51JeVTILj95vc34X4iRJBogWcYz0wbVnUHuHIYQ4z0JCQuQHhBAXMB9dRwKce7Z3GEIIIdqBFBAUQgghhBBCCCEuMpIMEEIIIYQQQgghLjKSDBBCCCGEEEIIIS4ykgwQQgghhBBCCCEuMpIMEBeFDf1eJ3byZ822y1iwi5X+j1O47dh5iKrt7H/oZ1b6P94mfZ34Zitruz6Poax9HieZt+Ywq0KeovK4VLAXQgjRtFmx/fl635Rm28XnLODZTQGklGw7D1G1nd+OPsyzmwLapK8dmd/w2rZu6I1lbdLfmTpSuIYXNodSWH28XfYvhLAlTxMQ/2qpX25G7aoh6Jp+7R1Ku8tdcZCyQ1lEPjbunO3DUFpN8qzVhN01AjsX7TnbT1N8xnbDJSqAxNeW0+frG9slhrZksViInfQJJbtP4DM+iuhvb27RdsZyPcnvriF3+QH0OWXYezriMz6KyCcnYO+us2qbNGs1x95d02A/UbOmEnz9gLM9DCGEaFPbMr5Co3Yh2u+a9g6l3R0uWEF2xSHGhD12zvZRbSxl3Yl3GRJ0Fxq1yznbT1O6eI7FzymK1cdf57puX7VLDG3JYrHw5b5JpJfF0dVzPNdHzW3RdrWmKrZnzmF/3u8U16SjVtjjqQunn99M+vhOR6FQ1Lf97ejD7Mn9pcF+bu7xMx3dh7fJsYiLlyQDxL9a6leb0Qa7SzIAyF15kKxf4s5pMiBt7jaMlTUE3zTonO2jJUJvG8L+B36mIjEXp06+7RrL2Ur/fjvlCTlntI2pqpbYqz+lPCGHwGv64to7mMrkfNK+20Zx7HEGLnsAtc7eZrsuL03C3sM6UeDWN/Ss4hdCiHNhW+ZXuGmCJRkAJBSuYk/uL+c0GRCb9S01pkr6+7dvkn1QwG0sPPoAeVVJ+Ogi2zWWs7Uz+3tyK4+c0TYWi4XvD97AidJY+vhOY2DgrRhM1RzI/4NFif9HflUS48OftdluauePbZb5OnZpdexCnCTJACEEABazmfQfduBzSVebO8/nm8/E7qh09qT/EEvXlye1Wb9mg4nKY/k4d/Frsz6bos8tI/H1FXR89BKOvrysxdulz9tB+aFsOj17KeH3japf7tY3lH13/UDqZxvo+KhtUshnYhS6YI82iV0IIcSFwWwxsyv7Bzp7XoLOzr1dY+nqNQH7JB27s3/g0oiX2qxfk9lAQfWx83aBXF6Ty5rjbzA65BFWHn+lxdtlVuwjtXQ7gwPvsDr+AQE389HukezK/qHBZEBv3+anwgjRGpIMEGctY8EuDj78C31/voOi7Slk/bqb2sJKHCN96PjoWHwndLfZpmBTIsc/2UDp3nTMNUZ04V6E3DSYkFPuSJ+cA6/PKLaaDz9859Pogj0o2HCUjJ92UbonjZq8clRaO9z6hRH5+HhcegS26TEayqpJ+WgducsOUJ1VgtpJg+fwSDo9NQFdqKfNa9Hv17soO5BB2nfb0WeXog1yJ+KhMQRO72vVr8Vk5tiHa8mYv5Paggp04V5EPDSGiqQ8jr27pv5YYyd/RvH2FKvXBaD7B9OtRk0YyqpJfG05ucsOYKyowaVnIF1enIRbdEizx1i6Jx19ZgkdHxnb4PrKlHyOfbCWws1J1BZVYu/hiFt0CB2fGI9z57qL6w39Xkcb7E63V6/kyEtLKYlLQ6VREzA1hk7PXorFaCbprZVkL96LobgK197BRL09xebuv9rRAff+YeQs3d8myYCSuBNkLYwje8k+3Pt3aPFQ/bOV8OwSNIFuhN4x7IySAUXb62pWBE6LsVrud0VPDjykJvOXuAaTAVA3vUCls0ehkpIwQoizE5+zgEWJ/8fNPX7ieMkO9uT+QpWhCG9dR0aHPkpXrwk22yQXb2Jz+qdklu/FaK7BUxfOAP+b6B/wzx3pk3PgS2oyrObDP9o/FndNMElFG4jL/YmMsr1U1OZhp9IS4tKXMWGPE+DUo02PUW8sY2PaRxwqWE5pTRYOaici3IYxNuwpPLT/jKw6+Vrc0uMXsisOEJv9PWU12bhpghgR/CDRftOt+jVbTGxM+4jdOfOprC3AUxfOyOAHyatKYn3ae/XH+vW+KaSWbrd6XQAmd3rfatSE3ljG6uOvc6hgGTXGCgKcezAx/EWCXaKbPcbM8j2U1mQyKuT/GlxfUJ3ChhMfcqxkM1WGInR2HgS7RDMm9HF8HTsDdbUZ3DTBXB7xCitSXiK9PB47pYbePlMZF/4MZouRv1LfYn/eEqoNxQQ69+bKTm/b3P13UDkS6tqfg/lL2yQZkF4Wx97chRzI/4NQ1/4tHqp/tpYeew5XTSCDgu44o2TAyXoNzvbWv3tUSjt09h7Umhuu12SxWKgxVWCvckSpkPO7aDuSDBBt5uiryzDXGAm5dQgWk4WM+bHsufV7+nx9A76X/nPyTp+3g0NPLsItJoSIh8ag0tlTsDGRw08toupEIV2evxyAnh9fS8ILf2Lv4UjEQ6Prt7f3dAIg85fdGEqrCby2Hw6+LlSnFZH+QyyxV37CoNUP49TRp02Oy1BWTewVn1CdWULQtf1w6uxLTV4Zad9uZ/ulHzN45UNog60z7YlvrMCsNxB8w0CU9mrSv9vOgYcWoAvzxL1/h/p2h//3O+nf78BjSAQd7hlBbWElh5/+He1pd3cjHhrDMbOF4tjj9Pz42vrlbv3CrNrtvu5r7D0diXhkLIbiSlK/2EzczDmM2Pk0aidNk8dZ9HeywbVPsM26kj1p7Jr+JZgtBF3XH8dOPhiKqijcmkzZvoz6ZABATXYpu675Cr9JvfC9tAeFGxNJ/WITCpWCisQ8THoD4fePoraoktTPNhJ/63cM2/QYCqX1yc2tbygFGxKpPF6AYwevJmNvSFVqAVm/xZP12x6qjhegcnLA99LuBN8w0KqdqaoWU7WhRX0q7JQtrqWQ91cCucsOMGDxPSjVqjOK3VxjBECltZ4KoFAoUGnsqE4rorawEntPR6v1W0e/h6miBoVKiVtMKB0fG4vnsP/2MEwhRPtblfIqRkstgwJvxWwxsztnPvMP38Z13b6mm9fE+na7sn/gj6QnCXKJZkTIg9irdCQXb+KP5Kco0qcyIfx5oG7I8/KUF3BUezAi5KH67R3t6pLre3J/QW8sI9rvGlzsfSnWp7Mr5we+2nsV90avwlvXsU2OS28s48u9kyipySTG91p8HDtTXptLbNZ3fL73Mu7psxJ3TZDVNmtS38Ro1tPffyYqpQM7s75jUeLDeGrDCHXtX99uafIz7Mz+ng6uQxgadDeVhkL+SP4f7hrrc+zIkAdZf8LMibJYq6HgIS7WNw++PTADRzsPRoX8H1XGYrZmfMm8gzfwaP9YHNROTR7n8b+TDUEufWzWZZTtYe6Ba7BYzMT4XYe3rhNVxiJSSraSVbG/PhkAUFaTzdwD19LD+wqivC4juXgjWzO/QKFQkl+VhMGsZ3jwfVQZitiS8TnzD93Cg3032Vy8BrvEkFS8gcLq43hqO5weUrMKq1PZl/cb+3IXUag/joPKiW5el9LPf6ZVu1pTFYZGLq5Pp1LYtbiWwtHCvzhcsIzbe/2OSnFml1KBzr3QqF3ZnPEpbpoggp2jMZj17M39jYyyPUyKfKvB7V7d1pkaUwVqhQMd3AYzNuxJApx7ntG+hWiIJANEmzGWVjNk7SOonesuOoOvH8DmYW+T8Nwf+IyPQqFSos8tI+G5Jfhf3Zten8yo3zbk5sEkPLuE1C82EXLTIHShngRMjSHxrVXYezsRMDXGZn9Rs6bZzJsOmBbD1jHvceLLzUS93TZDqpLfXk1VWhGDlt2Pc7d/svaB0/uxZfS7JM1aRc8Pr7XaxlxrZNCKB1Ha133E/C7vycaBb3Bi7rb6ZED50RzSv9+B16jOxPxwa/3FsN8VPdl6yftW/XmN6ETWoniKY483+Fqc5NIjkKg3J9f/7dTJl713/kDWoj2E3Nh0HYCKxFwAq5EOUJeNPvjwL1iMZgavesjqLn7Ew2OwmM1W7atSC+n95Uz8rugFQMhNg9g27gOOf7YJn3Fd6ffLnfXFcezcHTny3BIKNibhPaqzVT8n46g4mtPiZEBtUSU5f+4ja2E8JbtPoLBT4T26M5FPTcBnbDdUWjubbVI+3dBo8b3TuQ8KZ8Cie5ptZ6yq5fDTvxN4TV+r5E9LOXbypWBDIkXbjuEzPqp+edmhLAwldT9sqjOL65MBdi5agmYOwL1fGHauWioSc0n9cjO7rv2K3l/MxO9y+cEghGi9amMZ98f8hUbtDEBf/xl8uGs4y449RxfPcSgVKsprclmW/Bw9fa5mWpfZ9dsOCLiZZcnPsTXjS/r734SHNpTevlP4K/UtHO29Gxz+fFWnWdirrKer9fadyuy4S9iW+RVXNnLBdKbWpr5DsT6Nu3ovxc+pW/3yPr7XMDtuNOtOzGJK5w+stjGZa7i7z3LUyrrfH929LuPdnYPYkTW3PhmQW3mUndnfE+k+ihu6z6u/GO7ufQWfxFmPvuvoPoJ9eb9zoiy2yaHgAU49mBT5Rv3fPrpO/JxwF/vyfqd/wA1NHmdeZRIAHhrrGjIWi4VFif+H2WLknuhVVnfxR4Y8hNlifX4v0qdybdcv6O59BQD9A27k0/jxbM34nM6eY7mlx4L687vOzp1lx57nWPEmIj1GWvXjoQn7O66jLU4GVBmKOJD/J3vzFpJeFodKYUekxygu6fAkXTzGYqeyTdRvTv+U9Wnvtaj/MNdB3N7rt2bb1Zqq+DP5f/TxnW6V/GkprdqVmVHfsjjxURYk3F2/3EHlxHXdvrJKrgE42XszOPBOApx6Yq/SklVxgG2ZX/Hlvqu4tccCQlylppY4O5IMEG0m+MZB9YkAAHtPR4Jm9Of4JxsoO5CJa+9gcpfux1xjJOj6AdQWVlpt7z2uKyfmbKFwUxK6GzxP797GqYkAY4Uec40Je3dHHCO8Kd2T3ibHZLFYyFoUj8fgCBx8Xa1iVunscYsOoXBjks12ITcNrk8EAGj8XXEM96Yq5Z/H5eWvSQAg7M5hVnfFnbv64zWyMwXrzqwozcm+TuUxpO7uSVULHtNXW1iJ0kGN6rQES/nBLCoScwm5bUiDxfxOv6Pv4O9anwg4yb1/B8oOZBJy6xCrKrkeAzr8E99pyQA797oL3doC638nDSndm86xD9aSv+4IFqMZ935hdHtzMn6TejVb/yBwWgzu/cOa3QeAnWvLaikkv70KU2UNnZ+9rEXtTxdy4yDSv9/BoacWYTaYcO0VTOWxPBKe+wOFnQqLwYT5lNEMp7/vPuOjCJjel62j3iXhmcX4jI9CaXdmoxOEEOKk/gE31CcCoO4OfozfdWzO+JSsigMEOffmYMFSjJYaYvxmUGkotNq+s+dYtmfN4VjJZquh9405NRFQY6zAaKlBZ+eOly6CjPI9bXJMFouFfXmL6OA6GGcHX6uY7VVagpyjSS7eaLNd/4Cb6xMBAC4O/nhpw60el3e0qC7BPDjwDqu74n6OXYl0H0li8bozjndw0B1Wf4e7DQGgUJ/S7LZVhkLUCgebBEt25UHyqhIZGHBrg8X8Tr+j72LvX58IOCnUpT9ZFQcYGHCr1fk91LXuKTaF1SlEMtJqm5N1CypO+3fSkIzyvWxM+5DEonWYLUZCXPoxqeObdPe+otn6B318p7X4gl2rdmtRu7Wp71BjqmxwXn9LadQueGkjCHcbRoT7MGqM5cRmfcuvR+7j+qi5dHQfUd92fIdnrLbt5jWR7t5X8Fn8RJYee5Z7o1e1Og4hQJIBog05dvS2WXby4rHqRCGuvYOpSMoDYNeUzxvtpya/vEX7qzxeQOLrKyjcmIixXG+1ThvSNkXUagsrMRRXUbDuCOu6v9hwI6XCZpEu1Hb/du469BnF9X9XpxUB4NjAdAbHCO9WJQNOv6tv71F3QW0ormp2W4XtYQB1rzOAS1TLnnPcUAE7tVtdxl532vtycrmhuKELfsvfgTW/z7y/EshbdQilRk2XF6+sm57RwotfXainzet2NsoOZHLi6y10e2uyzTD+lnKM8Cbm+1s4+Oiv7L1jXt1CpYKgGf1xivQhd8VB1M4OTfah8XUh8Np+pH62kbKDmbj1ab5uhBBCNMRbazss31vXCYDi6hMEOfcmvyoZgG/2T220n4ra/Bbtr7D6OKuPv0Fy8UZqTNa/Cdw1bfNdVmkopMpYTGLxOt7Y3nAdAgW2c7M9Gti/1s6dEn1G/d/F+robEg1NZ/DSRbQqGXD6XX2dXd35tMpQ3FBza42c4E8mMPydohpcf7rTpzgAaNSuf6+zfl1OXlxXGW3js/x9fm/B6Z2jhX+RULgKtVLDZeEv0M//BlRK21F+DfHQhrYo+dRSWRUH2J75NZMi36yf0nKmSvQZfLX3SgYE3MK4Dk/XL+/hPYmP4kazOPEJHum/vcm6AH6OXeniOY5DBUupqC3Ayf7Mp1IKcZIkA8T5Zak7AfT8ZAb2Xg1fKLXkwsxYoWfn1Z9hrjEQdvdwnDr7oXa0B6WCI8//gbGytk3j9RrZibB7RjTT+BSNFG/7u7tzprGicZYW7NjO0xFzjRFjVa319IuT2zaWLTidqol2Z/C6nExgtOSCOvj6ASiUCrIW7SHhmcUkz1qN3+U98Z/cB/cBHazuVpzOWFmDqbKm2X0AKOzUzY40SHhuCboOXngMCq9PpJxkqq6l8ngBdq7a+kRNYzyHRTJ8x1NUHM3FUFqNY7gXDj4ubL/sYxQqJbqw5k/+J2tZGIqaH10hhBBnp+6LfFqX2TjaNfz9dPoFbUNqjBV8vW8yRnMNQ4PuxsexM/ZKHQqFkuXHXqDW1FbfZ3XxRrqPZEjQ3U03PYVC0Vii+dye4JWN7rd5jnaeGC011JqqrEcH1J98W3Z+b/zYG4+vod8f1YaS+ria08//epQKFfvyfmPpsWdZe+JduntfTi+fyYS69G/y/F5jqmzxvxeVwq7ZkQbLkp/HU9uBMLdBViNBoG76QGH1cbRq1/pETUPicn6ixlRBdy/rkYN2Ki2dPUazI2supTWZDSZeTnWylkWVoUiSAeKsSDJAtJnKZNuM/+nz0HV/z/2293TEa3inZvts7Du+cEsyNbllNtX0AQwl1SjaaEi0vacjalctxsqaFsV7Jk5eqFUm56ENsj4BVR6zfS2bOuG1hfpRHCn5uHT/52kMjuF1Iz7KD2ad0/2frjK1bvhgSx4DqPF3peMjY+n4yFhK4tPqnxyQPm8HmkA3/K/uQ8DkPjh39bfZ9vhnG9u0ZkB1Zgn6jGI2D3nbZl3hpiQ2D36LsLuH0+WFKxrY2ppCqbSKubaggrL9GbgPCreZztGQk9NS7L2cm2kphBCNy69Opuvpy6oSAXD/+87rybnfjnaedHQf3oJeGz6npZRsobw216aaPkC1sQSVomV3hZujs/NEo3alxlTRwnhbzs2h7kItvyoZt9MKEBZUHWvTfbXEySkAhdUp+Dv984QnT104ADkVh85rPCcvpH1a8BhAFwd/RoX+H6NC/4/0snj25tU9OWBX9jxcHQLp6XMVvXwm4+d4+r9Q2JL+WZvWDCityaSkJoMPdg21WXesZDPv7xrCkKC7mBj+QqN9lP89OsaM2Wad2WKy+v+mnHwNHe3bbmSjuDhJMkC0mfTvtxNy86D6qvW1hZVk/LQLTYBr/aP+/Cf1IunNlSS9swr3AR1QaaxP6oayalQOdigd6v5pqhwdMJTYDnGvvwN+WsI585fd1OSWoQlqOrvbUgqlkoDJfUibu43cFQfxnWj7mMSaggocvJqu5NsQ73HdSHx9BalfbsZzeGT93PvyhGwKNhy1aa9yrBsWXltc1ezd6dbwGFj3o6AkLs0qGeDcPQDHSB8y5scScstgHCOsp4NYLJZzkqgojTuBg79ri+6An8otOgS36BC6vDSJgnVHyFwYz4mvNnN89nqcuvgRft9IqyKMbV0zIOrNyZiqbUem7L1jHq69g+lw30ir11CfW4axTI820K3JC3yLxcKRF//EYjQT/sCo+uVmY139gFPrdUDd9I6Mn//+/HVv2RQPIYRoyM6seQzwv7m+an2loZC43J9xsfevf9Rfd+8rWHP8TdamziLUdQB2SuvvJL2xDLXSAbWy7lzmoHKk2lhis6+Td58tp53g43N+obw2t/5C+2wpFUp6+VxNbNa3HC5YYVO4DWj1EOwunuNYk/oG2zK/IsJ9eP2Q75zKBJKKN9i0d1DVjRSrMhQ3e3e6NcJc656ik14Wb5UM8Hfsjrcukt058xkQcDNeugir7c7V+T2jPB4Xe388tWFntF2wSzTBLtFcGv4SicXr2Jv7G9szvmZz+if46rowLPg+qyKMbV0zYFLkm9SabH+T/pxwJ4HOvRkWdK/Va1hek4veVIarQ2D9iAwfx7obS3tyfyHIuXd9W72xjITC1ejU7vWjAmpNVSgVqvrPzElppbs4WvgXwc4xrZ6uIMRJkgwQbUbtqmX7pR8TdG0/LCYz6T/GYiiuIurLmfUX75oAN7q9OZmDj/7KluHvEDAlGk2QO7WFlVQcySZ3xSGGbnqsft65W3QIGT/tIumtlThG+qJQKvAe1w33fmHYezlx9KU/qc4oxsHHmdI96eStOoQuzBOz0Tbj2lqRT02geFcqe277Hr8re+EWHYLSTkV1RjH5a4/g0jPQ5mkCLeHc2Y+gmQPI+CGWXdO/xHdid2oLK0n7dhsu3QMp25+B4pQ7J27RIaR9s5XDTy/Ce0xXlHYqXKNDbObht5Zrn2A0Qe7krztCyE3/PHlAoVDQ4/3p7Jr+JdvGf0jQdf1w6uSLoaSKwi3JBEyJJnB63yZ6PnPGyhqKY48TNHNg840bobRT4TM+Cp/xURhKq8n5cz9ZC+PIXX7QKhnQ1jUDvMc0fqfDwdfFprJ/4uvLyfoljn6/3Y3n4H9+RGwb/yEeQyJw7OCFqaqW7D/3URqXRsfHxlqNUjFV1rJp4Bv4TOiOY0dv7Fy0VCTlkTF/J+ZaI1FvT2l0+ogQQrSEVu3C53svI9r3GswWE7tz5lNtKObarl/WDw93dQjgisg3WJz4GB/uGkFv3ym4OQRSaSgitzKBhMKVPNh3Y/2FTpBLNPE5P/FX6tt46zqiQEkXz3GEuvTD0c6LlSkvU6LPwNnel4zyeBIKV+OhCcNsMbbZcY0Ne4q00l38dPh2untPItglBpVCTYk+g8SidQQ497R5mkBL+Dp2pq/fTHbn/MDc/dfQzWsClYZCYrO+w9+pO1kV+zl1ZESQcwwwlz+Tn6aTxyWoFGqCnKPx0LZNfYRA5z64OQSRWLSW/gE31i9XKBRM7vQec/dfw6d7JhDjdx0+uk5UGYpJKdlCb9+p9PGd1iYxnFRjqiS1NNbmMYBnQqW0o6vneLp6jqfaWMrB/KXszV3I4YLlVsmAtq4Z0MljdMMrEsDF3pfu3pdbLV6d+gZ7cn/h1p4LCXcbDEC073S2ZXxFbNa3lNfkEuE+DL2xnLicnyivzeGKjm/Uf6YKq1P4/uANdPUcj6e2A3ZKLVkVB9mT+wt2Ki1XdHytzY5NXLwkGSDaTOdnL6No2zFOzNlCTUEFTpE+9Pn6BnwvtS7ME3RtPxzDvTj+2UbS5+3AUKbH3qPuKQCRT47HwfufIc2RT0/EUFJF2rfbMJTqwWJh+M6n0QV70Pen2zn6yjJOfLkZqHsuff+Fd3H42SVUp7egoE4L2bloGbjkPo5/vpGcP/eTt/IgCpUKjb8r7v3DCLp+QKv7jnpzMho/FzLm7+LIy0txjPCm25uTKd2TRtn+DJSnPArP/+relB3MJHvJPnL+3A9mC90/mN5myQCFUknwzAEkv7vG5hn2bjGhDFrxIMc++IvsxXsxlFZj7+WEW3QIrr2antfWGrnLD2KqNhA8s/Wv7ansXLUEzxxA8MwBGFtYH6C9uUUHk7fyEPrsEpR2alx6BRE971Z8LrEeCqnS2OF7aQ9K4tPIXX4AU1Ut9p5OeI/pQvj9o+pH5QghRGuND3+W4yXb2Z45h0pDId66jlzX7Wubu+kxftfipQ1nS8bn7Mqeh95Yhs7OAy9tBGPCnsDJ/p9RUWPDnqLaWEJs1rfojaVYsPBo/1jcNcHc3GM+K1NeYVvmVwCEuPTltp6/svTYc5To2+ZpQVBX1f2O3kvYmvEFB/P/JKFwFUqFCld7f0Jc+9PXb0bznTRiUuQbuDj4EpfzEytTXsFLF8GkyDfIKN9DVsV+q5ETPX2uIrvyAAfy/uBg/lIsmJnc6f02SwYoFUr6+s9k/Yl3qTQUWt1NDnaJ4e7oFWw48T778xajN5biaOdFsEs0gU69mui1dQ4XrMBgrqbvWSQDTqVVu9LP/3r6+V9PTZvVkzh3NGoX7o1ewab02RwtWktS8QYUCiX+jlGM7/AMUd7/1BJwsvch3G0oKSVb2Ze3CKO5Bid7H3r5TGZEyINnPLJCiIYoLC2pLCYuWvHx8cTExDBo1UO49mx4aF7Ggl0cfPgXmzubovXibvyGoi3JXJL06nm9q2sorWbT4LcIvW0IHR8Z2/wG58i2CR+iDXKnz9c3Nt9YnLXS/RlsH/8hcXFxREdHt3c4Qojz4OT5/d4+Kwlw7tlwm5wFLEr8P6s7m+LszDt4IyklW3luSOJZFQU8U9XGUt7fNYSBAbcyOvSR87bf030WPxE3TRDXdfuq3WK4mGSV7+fTPRPk/C4aJWNHhWhHplOeFX9S+eEsCtYdxWNox/M+vNvOVUvHR8eS+uVmDGXV53XfJ+WtOUz54Ww6PXNpu+xfCCGEOFsGk+05NKfiMElF6wl3G3JeEwFQdwd9dMgjbMv8Cr2x7Lzu+6QjhWvIqTzMuA7/a5f9CyFsyTQBIdpRxs87yf59D96ju2Lv6UhFch4ZP8SisFMR+fj4dokp9NYhhN46pF32DeAzthvj095st/0LIYQQZysu92f25/1OJ48xONp5kl+VzO7sH1Ap7RgT9ni7xDQw8FYGBt7aLvsG6OI5lpeGnWi3/QshbEkyQIh25NIjkLyVhzgxZwuG0mrUTg54DutIxCNjZa63EEII8R8V4NSDhIJVbM+cg95Yir3KiXD3oYwOeaT+CQxCCNHeJBkgzlrQNf0IuqZfe4fxn+TeN4x+C+5s7zCEEEIIG9F+1xDtd017h/GfFOLSl1t6/tzeYQghRJOkZoAQQgghhBBCCHGRkWSAEEIIIYQQQghxkZFkgBDn0Ur/x9n/UOuHDcZO/owN/V5vw4iEEEIIcbae3RTAb0cfbvX2X++bwqzY/m0XkBBCtIDUDBBCtJixXE/SW6vIWbYfQ3EV2mAPgm8aROhtQ1AoFM1ur88tI+2brZTtz6DsQCa1hZUETI+h54fX2u6rQs+RF/6kdG86+qwSTNUGNP6uuA8KJ/yB0Th28LJqn/zeGgo2HKXqeCGGsmrsPZ1w6eZP2L0j8Rwc0WavgRBCCHGh0RvLWZv6NgcLllFtKMZdE0z/gBsZGHBbi87vZ9rHrNj+lNRkNNjPS8PSUCn+uUTJKNvD3rzfyKo4QE7FIWrNVUzu9L7UsxCiDUgyQIjzaOzx11GoWj8gp9/Pd4ClDQM6A2aDiV3XfkXZ/gxCbh6MUxc/CjclceS5Jegzi+nywhXN9lF5LJ+Uj9ahCXDDtXcw+WuPNNrWWFlL+ZEcPIdFoglyR62zpzIln4yfdpHz534GLX8Qp0if+vale9JxivTF99Ie2LlqqcmvIGthHLumfE7P2dcRMCW6TV4HIYQQ4nQvDE1BiarV29/c4yfa6wRvMhv49sB1ZFXsZ0DAzfjqOpNcsollx56npCaTieEvnJM+vLUdGRHykM3y01/Ho0Vric36Fm9dR/ycokgr29X6gxVCWJFkgBDnkUpjd1bbK+3b7yObMX8npfFpdHnlSsJuHwpA8PUD2G+vIvXLzQRd1x+nTr5N9uHaM5DRB17A3ssJQ2k1a7s832hbja8Lg5Y9YLPc7/KebJ/4EWnfbqPba1fVL4+ZZ/vs5NDbhrBp4JukzF4vyQAhhBDnjJ1Sc1bbq5X2bRTJmYvL+YmM8ngui3iZQYG3A9DX/3oWKhzYlvEVMX4z8NFFtnkfjvbe9Pad0mx8AwJuYljwvdirdBwuWMH8w5IMEKKtSM0AIc5SVXoRe277jjWRz7Im8lnib55LVVoRG/q9Tuzkz6zanl4zoCq9iJX+j5M0azV5aw6zbcKHrA57mvW9XubIy0sxG01W27dnzYDsRXtQae0InjnAannYXcPBbCF78d5m+1A7abD3cjqrODRB7gAYS6ub35+jA3buOoxlzbcVQgghTlWsT2f+4dt5ZWsnXtnaiR8O3UxRdRqzYvvz9T7ri9jTawYU69N5dlMAa1NncaRwDZ/FT+TFzR14c0dvVqa8jMlitNq+PWsG7MtbhJ1SS1//mVbLhwTdiQUz+/N+P2d9mCxGaowVTfbtZO+NvUrXbAxCiDMnIwOEOAu1RZXsvOpTavIrCL5xIE6RPhTHHmfnlM8xVdW2uJ+CtUdI/3YbwTcOIui6fuStPETqZxuxc9US8dCY1sVWWNnitmoXDUq7xoc3WsxmSvdn4NIj0GZ0g3NUACqtHaV701sVZ3PMBhPGMj1mo4nq1EKS31sDgNeYLg22ry2sxGKxUJtXRsb8XVQm5RF0WgJDCCGEaEqVoYiv9l5FpaGAfv434K2L5ERpLN/sn0qtuarF/SQWr2Nn9nf087+BaL9rOVK4ii0Zn6NRuzEy5MFWxVZpKGxxW43KBZWy8VGJZouZrIr9+Dv1sBnd4OcYhZ1SS2b5vib30do+Msr38PKWCEwWAxq1K908JzKuw/9wsveyaSuEODckGSDEWTj+yXr0WaX0/GQGAZP7ABBy02COvrKU459ubHE/FUdzGLLxMXTBHgAE3ziIraPeJe2bra1OBqzr/mKL2/b77e4mi+wZSqox6+sK+J1OoVDg4O+KPqe0NWE2q3hXKrumfF7/t723E11emkTA1X0abH/qcSs1dgTfMJAuLzZfz0AIIYQ4aVP6J5TVZjOty2x6+UwG6oarr0x5hS0ZnzWz9T/yKo/yYN8NuGuCAejvfyMfx41mR9Y3rU4GvLG9R4vb3tpzIeFugxtdrzeWYDDrcXHws1mnUChwcfCnrDanyX20pg8fx87EONdNHTBaajhWvIU9uQs4XrqNe/osR2fn0cIjFEKcDUkGCHEW8lYn4ODviv/Vva2Wh90z8oySAT4TutcnAqDu5OkxpCNp32zFWFmD2tHhjGPru+COFrd16ebf5HpTtQEApX3DoweUDmrMf7dpay7d/Om74A7MeiPlCdlk/74HY3k1FrMZhdJ2plPfBXdgMZqpTi8ic8FuTFW1mGuNqHTtNx9TCCHEf8vRwjW42PvT0/tqq+VDg+45o2RAV88J9YkAqDu/h7sNZkfWXGpMlTioHM84tpt7tPwRxf6O3ZpcX2uqm0anVjT8O0OtdMBganqqXWv6uLH7PKu/e/lMJtglmiVJT7Ax7WMmRjRftFAIcfYkGSDEWahOL8Ktb6jNI3McvJxQu2pb3I8u1DYDbudeNz/OUFTVqmSA1/BOZ7xNY1TauiGG5lpTg+vNNUaU2rMrjtgYOzdd/bH4jOuG76U92DbufcwGM52emmDT/tTjDpzej23jPyD+pm8ZsOTecxKfEEKIC0+xPp1gl74253cney80attRco3x0IbaLNOq62rfVBmKW5UM6Og+/Iy3aYy9qu63itFS0+B6o7kGO1XTv2faog+Afv4z+Sv1LRKL1zERSQYIcT5IMkCIf4MmHjdoaeWjhmryylrc1s5N1+STCuzctCg1duizbacCWCwWanLKcB/QoVVxnimnSB9cewaTuWBXg8mAU6m0dvhd1oNjH6ylMiUfx3Dv8xKjEEIIAaBoslZ3687v5bV5LW6rVbs1+aQCjdoNO6WGshrbqQAWi4XymhxCXZuuu9MWfZzk5hBESU1Gi9oKIc6eJAOEOAvaIHcqUwqwWCxWdw9qCipaVO3+XFrf65UWt22uZoBCqcS1ZxBlBzLqRgE4/PPVUX44G1NVLa69gs4q3jNh0hswlLTs9TXp66YvGNr5/RBCCPHf4aYJorA6xeb8XlFbgN54bmrktNRbO3q3uG1zNQOUCiUBTj3JqjiA0VyDWvnPSMScysPUmqsIdO7V5D7aog+oK0RYpE/Dxb7pxxQLIdqOJAOEOAve47qR+tlGsn/fW19AECD1sw3tF9Tf2rJmAID/5N4U7zxO2rwdhN0+tH556hebQKnA/yrrgn4VSXko7ZTowlpXFbimoAJ7T0ebIZrFsccpP5RlNRLBWK5HYaeyedJBbWElOX/sQ6Wzx7mzbWEjIYQQoiFdPMeyJeNz9uf/Xl9AEDijegHnSlvWDADo6XM1J8p2sit7HoMCb69fvjXjSxQo6el9lVX7/KoklAo7PLVhreqjylCMzs7dJo4tGZ9SbSymn//1LT4+IcTZkWSAEGch/L5RZP++hwMPL6A0Pg3HSG+KY49TvOsEdh62F7LnU1vWDAAImjGAzAW7OfrSn1SnFeHcxY+CTYnkLNlH6J3DcOpsncnfMvwdNEHujNz1P6vlx97/CwBTTd0zlisO59Qvcx8YjsegcADSvt1GzpJ9+IzrijbEA4vRTNmhLLIX7UGptaPz85fX91l6IJO9d8zD7/IeOIZ7o9LZU5VaQOaC3dQWVhL19hQpICiEEKLFhgXfx768xSw6+n9klO3BS9eRE6WxpJXtRmfngYL2O7+3Zc0AgL5+M9iT+wsrUl6mWJ+Oj64zx0o2cSD/DwYH3omPo/XviQ93j8DNIYjHBuxsVR97cxcSl/szke4jcdcEYzTXklKyhaNFf+Gj68Sw4Pus9lesz2Bv7kKgLhEBcKRoDaU12QD09p2Ku+b8jU4U4kIiyQAhzoK9pyMDltzH0Rf/JOPnXaAAzyER9P/tbrZP+BCl5twU1WsPSjsVfX++g6S3V5Hzxz7SvtuGLtiDLi9NIvT2IS3uJ+ntVVZ/lx3MpOxgJgARj46tTwZ4DYukMimPnD/3U5NfgcVsRhvgRsC0GMLvH4Uu1LO+D8cwT3wv7U7xjuNk/74XU3Ut9p5OuPfvQOjtQ/FoYgqEEEIIcTpHO0/u6LWYlSkvEZf7MwoUdHAbzK09F/L5nonYKTXtHWKbUSntuLnHT/yV+jYH8v+gylCMuyaYS8NfYmDgbW3eR6BzL1JKtnAgfwmVhiIAPDQhjAx5mGFB9+KgdrJqX6xPY+2Jt62WHS5YzuGC5QCEuvaXZIAQraSwWCytq14iLgrx8fHExMQwaNVDuPaUL9qWqi2qZF3UiwTfMJCot6e0dzhCNKl0fwbbx39IXFwc0dHR7R2OEOI8OHl+v7fPSgKce7Z3OP8ZVYYiXt/enX7+N3Bl5FvtHY4QTcoq38+neybI+V00qqkSp0KIFjBVG2yWpcxeD4Dn8MjzHY4QQggh2oDBZFt4dlP6bAA6urXtUH0hhGgPMk1AiLO0+9qv0IZ54NozCIvJQuHmJPL/SsCtXxi+E7u3d3hCCCGEaIVvD1yHhzaMAKceWCxmjpVs5mjRX4S49KOrV9OPthVCiP8CSQYIcZa8x3Ul67d48lYcwqQ3oAlwJeyeEXR8dCwKlQy+EUIIIf6LuniOZW/eIg4XrMBo1uPiEMDQoLsZFfooSoWqvcMTQoizJskAIc5S+H2jCL9vVHuHIYQQQog2NCz4PpvK9kIIcSGR25ZCCCGEEEIIIcRFRpIBQgghhBBCCCHERUaSAUJcBKrSi1jp/zhJs1a3dyhCCCGEaCPF+nSe3RTA2tRZ7R2KEOI/SGoGCCH+88oTstk27gMsRjN9vrnJ6ikOlcfyyfotnoKNiVSlFmKuMaIL88Dv8l6E3jkMtc6+HSMXQgghxEnZFYfYmPYR2RUHKTfkAeDmEER378sZHHgHGrWLVftaUxXbM+ewP+93imvSUSvs8dSF089vJn18p6NQKNrjMIT4z5BkgBDiP81iNnPw8YUoHewwGWts1mf8vIu0udvwGd+NgMl9UKhVFG07RtJbK8n5cx8Dlz6ASmvXDpELIYQQ4lTF+jT0pjJ6+FyJi70fABnle9mY9hGHCpZzd59l2Ck1AFgsFr4/eAMnSmPp4zuNgYG3YjBVcyD/DxYl/h/5VUmMD3+2PQ9HiH89SQYIIf7T0r/fQcXhbDrcP4rkd2ynQfhd3pPwB0Zh56KtXxZy0yASO3iR8uFaMn7aSeitQ85nyEIIIYRoQDeviXTzmmi1rD834q3ryKrjr5JYuJYo78sAyKzYR2rpdgYH3sGlES/Vtx8QcDMf7R7JruwfJBkgRDMkGSBEM0x6Aymz15O9eC/6zBKU9io0AW54X9KVzs9cWt8ue/FeshbFU34oi5qCCuxctHgM7UinpyagC/W06nOl/+METI8h8Jp+JL2xgrKDWdi56wi9dQjh94/CUFLFkZeXkr/6MMbKWjyHdiTqnSlo/Fzr+0iatZpj765hyPpHSft2G7nLDmCs0OPSI5DOz16Ge/8OzR6bxWIh/fvtZPy4k4qkPBRKBa69g4l45BI8h3S0apv5y25OfLOVquMFWAwm7L2dcesbStdXrsTew/EsX+XW0eeUkvj6CiIeGYu9t1ODbVx7BTW43P/KXqR8uJaKIznnMkQhhBD/Ugaznk1pszmQv5jSmixUCntcHQLo5DmG8R2eqW+3P28x+/IWkV1xiEpDIRq1C+FuQxgb9hQe2lCrPp/dFEAf3+n08Z3OmtQ3yKk4hFbtzsDAWxgefD/VhhJWpLzM0aI11JoqCXcbypWRb+Pi4Fffx9rUWaxPe48HYtYRm/UdhwqWUWOqIMCpO+M7PEuoa/9mj81isbAz+3vicuaTX5WEAiWBzr0ZFfp/hLtZJ8D35P7KjsxvKKw+jsliwMnemxCXvlwW8TI6O4+zfJXbhpum7lxebSytX6Y3lgHgbO9r1ValtENn70Gtufr8BSjEf5QkA4RoxuH//U7WL3EEzRyAS/dAzLVGqlIKKNqSbNUu7dtt2Hs4EnzjIOw9nahIzCVj/k6KtiYzdP1j2HtaXzCXH8xi75rvCbp+AAFTo8n5Yz+Jry1Haa8m69c4tMHudHxsHJXHC0ibs5UDD/5Mv1/usolv/wM/obRXE/7AaAxl1aR/u41d07+k/6J7cIsOafLY9t//E9mL9+J3eU8Cr+2HudZI9m972H3NV/SZcyM+46MAyPw1jgMPLcD7kq4EXtMXpVpFdWYJBWuPUFtU2WwywFBShcVkacnLjdrJAaVDy76aEp5dgsbflbC7hpO1KL5F25ykz6r7QdFYEkEIIcSF7c+k/7E391f6+s/E36k7JnMNhdXHSSnZatUuNus7HO086B9wE452nuRXJbI7Zz7HS7bxQN91ONpZJ/yzKw5ypHAN/fyvp7fPVA7m/8nq46+jVjiwJ+9X3B2CGR36KIXVqezInMPCow9ya89fbOJbeOQBVEoHRgQ/QLWxlJ3Z3zF3/zXc1us3gl2imzy2hUcfYH/eYqK8LyPa9xqMllr25S3i2/3Xcl3U13T1HA/AntyF/Hb0ITp7XEIfv+moFHaU6DNJLF5LpaGo2WRAtaEEM6aWvNw4qJxQKx1a1LbWVIXBXI3BVE12xcH61y/CfVh9m0DnXmjUrmzO+BQ3TRDBztEYzHr25v5GRtkeJkW+1aJ9CXExk2SAEM3IW3GQoOv7E/Xm5Cbbxcy/3aYYnc/4buya+gUZ82MJf2C01bryhBwGLr2//oI96Lr+bOz3Okde/JOQWwfT7dWrrNqf+HIzFcl5OHX0sVqudFAz4Pd7UdqpAAi4ug9bRr3LkRf/YOAf9zcab+7yA2Qv2kPUO1MJnjmgfnno7UPZcdlsEp5bgve4bigUCvJWHMQx0oeYebda9dHpqQlNviYnbR37AfqM4ha17f7BdIKu6ddsu7w1h8lddoD+i+6pP/aWspjMHPvgLxRqJf5X9zmjbYUQQlwYEgpX0tf/eiZFvtFku5t6/Ii9Sme1rIvnOL7ZP43d2fMZEfKA1brcygTu7P1n/QV7jN91zNrZnxUpLzIg4BYu7/iqVfttmV+SX5WMt856RJ5aqeH2XotQKevq2vTyuZqP40azIuVF7uz9R6PxHi5Ywb68RVwZ+Q79/K+vXz4o8Ha+2HM5y5Kfp4vHOBQKBQkFK/DWRXJD9++t+hjb4ckmX5OTPokfR0lNRovaTu70PtF+17So7eb0T1mf9l793z66zszs/i3umuD6ZVq1KzOjvmVx4qMsSLi7frmDyonrun1lM91ACGFLkgFCNEPtrKE0Pp2qE4U2w/2t2v2dCLBYLJgqajDXmnDu4o/aRUPpnnSb9m59Q6zu3Cvt1bj2CSZv1WFCbxtq1dZjQAdOfLmZquMFNsmAsDuGWV0MO0Z44zuxOzl/7KO2oAJ7r4bvfGf9Fo/aVYvPhChqCyut1vmM60ryrDVUpRTgGOGN2kVDTU4ZRdtT8BgU3uhr0Jhen1yHSW9oUVunzn7NtjFW1XL46d8JmBbTqngSnv+Dkt0niHx6os3rKYQQ4uLgoHImvTyeouoTNsP9T3UyEWCxWKgxVWCy1OLr2AWNyoXM8r027YNdYqzu3KuV9gQ59+ZI4WoGBd5m1TbMdQDbMr+ksPq4TTJgcODt9YkAAC9dBF29JnAw/08qawtxtG/4N8nevN/QqF3p6jmeSkOh1bounmNZd+JdCqtT8NJF4KB2pqwmh+MlO+jgNrDR16Ax07rMxmDWt6itr65zi/vt4zuNUNf+6I2lpJbGklq6o35awKk0ahe8tBGEuw0jwn0YNcZyYrO+5dcj93F91Fw6uo9o8T6FuBhJMkCIZnR5eRL7H/iZTQPfxDHCG/cBHfAe2xWfcd1QKJX17Ur3ppP09iqKd6Rgqra+8DWU2c5b04XYnsTVrtq/11kPy1O71f0QMRRX2Wzj2MDFrFOnumVVaUWNJgMqkvIwllazvsdLDa4HqMkvxzHCm/AHR1O0I4Wdkz/DwccZt/4d8Boeif/VvVE7aRrd/qSW1C84E0lvrcRUWUPn5y9v1bZp32wlaOYAIh4c3fwGQgghLkiXRbzEwqMP8t6uQXhpIwh1HUAXj0vo7DkOpeKf83tm+T7+Sn2b1NIdGE6bh17dwAWqu8Y2saBVu/29znr6nkZdVwuoymA7es7rtOQAgI+uEwBF+hONJgPyq5LQG0t5c0fPBtcDVBgK8CKCESEPkloay5z9k3Gy9yHUpT8d3YfT0/sqHNTNT6NrSf2C1vDQhtYnaLp7X0F8zi/8nHAXN6td6eg+HIASfQZf7b2SAQG3MK7D0/Xb9vCexEdxo1mc+ASP9N9u9V4KIaxJMkCIZvhO6M6Inf+jYG0CRdtTKNycRMb8nbgPCqffgjtR2qmoTi9m55TPsXPT0fHxceg6eKHS2oMC9t39IxZzA/PlVY0/+1ahavjEZbG0bN59i1jAwceZHh9f22gT5y51d+kdw70ZtvFxCrckUbg5maLtKRx64jeS313DwD/vRxvs3uSuagsqsJjNLQpL7axt8lF/lSn5pM3ZSod7R2Is12Ms19fvA6Amr5zK4wVoA91Q2lt/xSXNWs2xD9YSeG0/ot6e0qJ4hBBCXJi6ek3gUddYEovWcbx0O8eKNxOXM58w10Hc0uNnVEo7ivUZzNk3Ba2dG2NCH8NT2wE7lRZQ8EvCPViwPbcpFY1PXWt8XVue3y042fswtfNHjTY5eZfeSxvOQ303cKxkCynFWzheup0lSU+w7sS73Nn7T9w1DRfhPamytrDFNQM0Kue/X7sz19PnShYnPkp8zoL6ZEBczk/UmCro7nWZVVs7lZbOHqPZkTWX0ppMq6kFQghrkgwQogXs3XUETI0hYGoMFouFxNeWc/yTDeT/lYDvxO7krjyIqaqW6Hm34jk4on47U7UBQ+m5rWZbmZyHS1SA1bKKxDwAtCGNF/7RhXtRsO4I7n3DUJ1W66AhSgc13mO64j2mKwD5axOIm/kNqV9uousrVza57baJH7VZzQB9ThkWk5mUj9eR8vE6m/WHn1oEwJD1j9YnM+Cfpy8ETI+h+7tTUSgaT8YIIYS4OOjs3OntO4XevlOwWCysPv4amzM+5WjRX3TzmkhC4UpqzVXM7Pw94W6D67czmKqtKtufCwVVyfg7RVkty6tKBGxHGJzKU9uBxOL1hLj0tal10BC10oHOHmPo7DEGgKNFa5l38Aa2ZX7JZREvN7ntZ3smnpOaAaczmQ1YMKM/5TUvr80HwNxAQsZsMVn9vxCiYZIMEKIJFpMZY0UNdq7/ZLIVCgUu3QOBf4bt19/JP+3O/fFP10NDowLaUOpXm/G9tEd93YDKY/nkrjiIW99QHBqZIgAQOC2G/NWHSXxzJV1fnmSzvia/HAdvZwBqCyttnobg0sP6NWhKW9YMcO7kS++vbrBZXrTtGGlzt9HhvpG49g5GG+hWvy75vTV1iYCp0fR4f7rV9A4hhBAXH7PFRI2pAq36n0f2KhQK/J26A/8M21dy8nxhfS7fnPFpg6MC2tK2zK/p5nVpfd2AgqpjJBSsJNglBid7r0a36+07jSNFa/gr9S0ujbCdClhRm4+TvTcAlYZCm6chBDj1ABqeunC6tq4ZcGpsp9qRNRcLFoJc/in66+NYN2ViT+4vBDn3rl+uN5aRULgandpdRgUI0QxJBgjRBGNFDet7v4zPuChcugdg7+VEdVoRad9tx85dh/clXQDwHt2Zoxo7Djz4MyG3DEHt5EDhlmRK92Vg5958Vv5smGuMxF79Kf6TemMsryZt7jYUSgWdX2h6Pv3Jxwme+GozZfsy8BrTBXsPR/TZJZTsPkFVaiEjYuvm4O2+9ivUrhrcB3RAE+CGsayazAW7QaHAf3Lz1fjbsmaAvZcTfpfbzoM0VtYA4BYTiu/E7vXLT8zdSvI7q9EEuuE5LJLsRXusttOGeeLeN6zN4hNCCPHvV2Oq4K0dfejiORZ/x+442XtRrE9nZ9Z3aNXudPa8BIBIj9HYHdew8MiDDAy8BQeVEyklW8ks34dO3fQUubNlNOv5et9kenhPQm8qIzbrWxQomRj+QpPbdfe+nOiia9iW+RWZ5fvo5DEGnZ0HZTVZpJXFUaRP5dH+OwD49sB1aFSuhLn2x9UhAL2xjPjcX1CgoJdP009RgravGbAg4R5AQahrP9wcAtEby0gp2Upi8Tq8dZEMDryjvm2073S2ZXxFbNa3lNfkEuE+DL2xnLicnyivzeGKjm80OWVDCCHJACGapNLaEXr7MIq2JFO4OQljZQ0OPi74jI8i/MHROPi4AKAL8yLmh1tJenMlx97/C6WDGs+hHRmw6B5iJ392TmPs+dG1pH23nZSP1mKsqMGlRyCdnrm0RRe4Pd6fjsfgCDJ+iCXl43VYDCbsvZ1x7RFIp//980ie4JsGkfPnPtLn7cBQUo29uw7n7oF0fe0qPIfYFjj6NyndW/ckB31mCQceWmCzPmB6jCQDhBDiImOn1DI48HaOlWzhWPEWak2VONv70MVzHCNCHsTZvq4Qr6c2jBu6z2NN6ptsOPEBKqUDEW5Dua3XIubsa/5i+WxM6fIRO7O+Z2P6R9QYK/B37s74Ds8S4tK32W0nd36fDm5D2J39A5vSP8ZkNuBk702AUw/Ghf1TbK+//00czP+DXdk/UG0sQWvnToBjdy7v+CrhbkPO5eE1qI/vNPbnLyYu5yeqDEWoFHZ4ajswOvRRhgTeZVXUUKN24d7oFWxKn83RorUkFW9AoVDi7xjF+A7PEOV9WRN7EkIAKCxtWpFMXGji4+OJiYlh0KqHcO3ZdBEZcX6dnAM/fOfT6IIbrw0gRHNK92ewffyHxMXFER0d3fwGQoj/vJPn93v7rCTAufGq8+L8W5s6i/Vp7/Fo/1gZ5i7OSlb5fj7dM0HO76JRMnFWCCGEEEIIIYS4yEgyQAghhBBCCCGEuMhIMkAIIYQQQgghhLjISAFBIf6jIh8bR+Rj49o7DCGEEEK0oTFhjzEm7LH2DkMIcRGQkQFCCCGEEEIIIcRFRpIBQgghhBBCCCHERUamCQjRCrGTP6M6vZiRu/7X3qG0mcJtx9g15fP6vzv9byLhD4xux4j+3dZEPIOpqhYA90HhDFh0TztHJIQQ4mx9vW8KJfp0Hhuws71DaTMpJdv4Zv/U+r/Hhj3NiJAH2jGif7ePdo8ir+ooAG4OQRfUvwUhTifJACGElaCZA/AY0AHnHoE26/LXHeHYB39RfjALpYMaj0ERdHr2UhzDvVu9v+qMYpLeXEnp/gxqcssw15rQBrrhNboLHe4bicbXxaq9udZIyuz1ZC3aQ3V6EWonDV4jO9Hp6Ylog9zPWxzd35uGxWAi4YU/W71PIYQQ4nzp6zeTMNcB+Dt1t1mXWLSeDWnvk11xCLXSgQ6ugxgX/gxe2vCz2ufGtI/JqjhAVsUBivUn2uzi+ljxFnZkzSG74jCVhgJUCjvctSH08ZlGv4AbsFNq6tuuTZ3F+rT3Gu3LU9OB/+u/tf7vcR3+h95Yxsa0DzGY9WcdqxD/ZpIMEEJYcesbSsDUGJvluSsPsue273Hu4ken5y7DVFXLia+3sOOKTxi08kF0wR6t2l9tQQXVmSX4jI9CE+CKUq2i/GgOGT/GkvPnPoas+T/svZwAsFgsxN80l4INifhe1oOwO4aizyolbe42iranMGj5A2j8XM95HAD+V/YGIPGtVa3anxBCCHE+hbjE0Nt3is3yhIKVzD98O76OXRgf/iwGUxXbMufw5d5J3NNnBe6a4Fbvc03qG2jVbvg7dUdvLDub8K3kVydhsZiJ9rsGZ3tfTOYaUktjWZ7yAonF67ip+3wUCgUAUV6X4qntYNNHamksu3N+oLPnJVbLu3iOBWB3znxK9OltFrMQ/0aSDBBCNMtsNJHwzGI0/q4MWHIvaqe6jLvP+Ci2jn6PpDdW0OvT61vVt2vvYAb8bjvE3mNAB/be+QOZC+PocPcIAPJWHKRgQyLBNw0i6s3J9W19xnVjxxWfkPTmSnp8cM05j0MIIYS4EJgsRv5MfgYXB3/u6LUYB3Vd0ruL53hmx41hzfE3mN7101b3/0i/7XhoQwGYHXdJmyUEBgbcwsCAW6yXBd7Kn0kexGZ/R1bFAQKdewLg59QNP6duNn0cKlgKQLTftW0SkxD/RZIMEBes/LVHiJs5h25vXE3IzYNt1m8e/g4Wg4nh258CoGRPGmnfbqNk1wn02aUo7VS49Awk4uFL8Bzasdn9rfR/nIDpMfT80PqkkrFgFwcf/oV+v92N5+CI+uWGsmpSPlpH7rIDVGeVoHbS4Dk8kk5PTUAX6nmWR9+2irenoM8qpePj4+oTAQBOHX3wHt2F3BUHMVbVotbZt9k+NX8P+TeWVtcvK9qWAkDgNOuRC24xoejCvcj5Yx/d3piMSmt3TuMQQgjRfhKL1vH9wZlc0fF1BgTcbLP+w90jMJkNPNJ/GwAZZXuIzf6OtNJdlNVmo1TYEeDUk5EhDxHhPrTZ/T27KYA+vtOZ0vkDq+XxOQtYlPh/3NpzIeFu//zOqBti/hGHCpZTWpOFg9qJCLdhjA17qv7C+N8itWQ7ZbXZjAl9vD4RAOCt60gnj9EcLlxJrakKe5WuVf2f7+N10wQBoDeWNtmuoraAo0VrCXTujZ9j1/MRmhD/SpIMEBcsr5GdcPBxJnNhnE0yoHRfBpVJeXR8bGz9stzlB6lKKcD/qt5oAtyoySsjY/5Odl3zJf1/vQuPUy7kz5ahrJrYKz6hOrOEoGv74dTZl5q8MtK+3c72Sz9m8MqH0AY3Pf/dVFWLqdrQov0p7JTYuWhbHW/p3rphcm59bU/qbv1CyVt1iIojObhFh7R6H+YaI8aKGsy1RioSc0l8bTkAXmO6/NOm1gjQ4MW+WmtPVbWBiqM5uPZu/ZDGlsQhhBCi/XR0H4GTvQ97c3+zSQZklu8nvyqJ0aGP1i87XLiCgupj9PC5EleHQCpq89idM59vD1zLrT1/pYPboDaLTW8s48u9kyipySTG91p8HDtTXptLbNZ3fL73Mu7psxL3vy9YG1NrqsJgblkCWqWwQ6N2ab5hIzLK9wIQ7GI7PTDEpS8JhavIrTxCsEt0q/dxLtWYKjGa9dQYK0kr283m9E9xtPMk0Ll3k9vtzVuI2WIkxldGBYiLmyQDxAVLoVLif3UfUr/YRGVKvlWRu6yFcaBQWM2Nj/i/S2zubIfcOIjNI2aR8vG6Nk0GJL+9mqq0IgYtux/nbgH1ywOn92PL6HdJmrXKZoTB6VI+3cCxd9e0aH9nW+1en1M3rK+h+fgaf7e6NtlNZ+Gbk7V4Dwcf/qX+b22wOz0/mYF737D6ZY6dfAEo3JZi9brV5JdTkZwHQHVmyVklA1oShxBCiPajVKjo5X01WzO/oKA6xarI3d68hShQ0Nvnn+r5I0MeZpzK+uk//f1v5MO4EWxK/7hNkwFrU9+hWJ/GXb2XWg1N7+N7DbPjRrPuxCybEQan25z+aZMF704V5jqI23v91up4y2tzAHBx8LdZd3JZ2d9t/o2WJj/Dntx/ztlBztFMinwDjdq5ye3icxZgp9TQ0+eqcxyhEP9ukgwQF7SAaTGkfrGJrIXxRD4xHqib/569eC/u/cKshuOfmggwVtVi1htAocCtTzAlcSfaLCaLxULWong8Bkfg4OtKbWFl/TqVzh636BAKNyY120/gtBjc+4e1aJ92rq0b3neSqbruEXpKB9uvjJPLzH+3aS2vkZ3pu+AOTBU1lO7NIG/1IYxl1ndGAqZEk/LBXyS/vQq1oz0eQztSk13K0VeWYTGZz1scQggh2ldv36lszfyCvbkLuSTsCaBu/vv+vMWEuPSzGp5+6hD3WlMVRrMeFBDk3If0srg2i8lisbAvbxEdXAfj7OBLpaHwlBi0BDlHk1y8sdl++vhOI9S1f4v2qVW7tTZcAGpNdec3tcJ2mp/674r8BtO/9xw4LOheevlMptJQQFLRRgqqk9Eby5vcJqNsD3lVR+nlM+WsRlUIcSGQZIC4oLlEBeDczZ+s3+Lp+Pg4FAoFhRsTqS2oIPLJCVZta/LLSXxjBXmrDmMoqrTu6O+KtG2htrASQ3EVBeuOsK77iw03Uja/P12o53mrLaDS1v1IMNcYbdadXKbUnl29AI2vS/3j+3wv7YHXyE7snPI5CjsVwdcPAMDeXUffn+9g/wM/c/CRX+u39ZkQRdCM/qR/tx21s6bB/tsyDiGEEO3L3ykKP8du7MtbxJjQx1EoFCQXb6TSUMAlYU9ata2ozWf18Tc4UrSaKkOR1ToFbXd+rzQUUmUsJrF4HW9s79FgGwXKZvvx0Iaet7n29qq6KYRGi20i3fj3Y/XsVK2fZniu+Th2wsexEwC9fCaz7sS7fHfgOu6L+QsfXWSD28Tl/gxAjBQOFEKSAeLCFzAthqMvLaU49jgeA8PJXBiPUqPGb1LP+jYWs5nd135F5bF8Qu8YhmvPwLqLSqWClI/XU7QludX7txjNpy2wAHU1DcLuaX11emNlDabKmha1VdipsXdv/egAjV/dxbE+pxSnv4fqn6TPLqlr49+6R/o1xmNwBJoAVzIX7LK6CHfpHsjQ9Y9SeSyfmrxytEHuaIPd2Xv3DwDoIrwb67JN4xBCCNG+evtOZWXKy5wo20mY6wD25i5ErdTQw/uK+jZmi5lvD1xHQdUxBgfdQYBTDxxUzigUSjalzyalZEur92+2nJ4grzu/R7qPZEjQ3a3ut8ZUSa2psvmG1NUM0Nk1XWOoKc72fgCU1WTbXDyX1WQD4PJ3m/+CXj5TWHfiXfbl/sbYDk/ZrDeYqjmQtwR3TSgdXG2LSwtxsZFkgLjgBUzuQ+Kry8n6NQ6X7gHkrTyEz7goq4J65Qk5lB/OJuLRsUQ+Ns5q+6S3W/YceTt3HYYS26F01Ses70LYezqidtVirKzBa3inVhxRneOfbTxvNQNOzsEv2X3CJuaS3SdQatQ4dWn7HwumakODrymAY4Q3jn9f+JsNJoq2JKML86xfdr7iEEII0T56+Uxmdcpr7Mn9FX/HKI4UrqKL51irod+5lQnkVB5mVMgjjAl7zGr7tanvtGg/WrU71YZim+VF+jSrv3V2nmjUrtSYKujoPrwVR1RnS/pn561mQNDfhfbSy+JsYk4ri0Ot1ODr+N8poHtyNEN1I08TOFSwAr2pjCFBd6Now1GfQvxXSTJAXPAcfFzwHB5JztL9uPQMxKw3EHDao+kUqr+H7f191/6kwm3HKI1Pb9F+dOFelOw+gamqFtXf9QcMJVVkLthlvS+lkoDJfUibu43cFQfxndjdpq+aggocvJxslp/qfNYMcB8UjoO/KxnzdxJ213DUjg4AVCTnkb/2CL6Xdm/1YwVr8stx8LYt9JO9eC+G4ip8xtk+G/h0ybNWU1tYSaf/Xdrqk3tbxCGEEOL8cbb3IcJ9OIfylxLg1AODWU8fn2lWbZQK1d//ZX1+TynZRkZ5fIv246UNJ608zuoRe9WGEuJzF5y2LyW9fK4mNutbDhesoJvXRJu+KmoLcLL3anJ/57NmQJjbIFzs/dmdM5/BQXfioHIEIL8qmcSitXTzmtjqxwqeSxW1+TjZ2yb/d2TNBerqQTQkPvdnFCiJ9pt+TuMT4r9CkgHiohAwLYaC9UdJfG0F9t5OeI20vrvt2NEbx0gfjn+6AbPegK6DN+VHsslcsBunLr5UJDRfSTf0liHsv/8ndk77goCp0RhL9aT/GIsmyJ2aPOtiNpFPTaB4Vyp7bvsevyt74RYdgtJORXVGMflrj+DSM7DZpwmcz5oBSrWKbq9eyZ7b5xE76ROCZg7AXG0g9avNqJ0c6PS09Q+ewm3H2DXlcwKmxzR7HEdfXUbF0Vy8hndCG+yOqaqWkvg0cpbux8HXhY6PWo/UiJs5B22oJ06dfLCYLeSvPkzBhkQCr+1H0AzrH0/nMg4hhBDtr7fvVJKK17P6+Os42XnT0WOk1XovXUe8dZFszvgMg1mPpzac3MoE9uT+go9jF3IrE5rdx4CAW1h49H6+2T+d3r5T0BvL2J39I24OQVTU5lm1HRv2FGmlu/jp8O10955EsEsMKoWaEn0GiUXrCHDu2ezTBM5nzQCVQs3lHV/lp8O389XeK+nrfz0GUzXbMr/GQeXE2LCnrdqnlGzjm/1T6eM7vdnjANiTu5ASfQYAFYYCjOYa1p+o285NE0Qf33+e+rA2dRbr095jcqf3ifa7psl+v9g7CV9dJwKde+NsX1es8WjRGtLKdhPmOpBevpNttinWZ3C8ZCsd3Ufi6hBg26kQFyFJBoiLgu+E7qidNRjL9YReOwylWmW1XqlWEfPDbRx98U8yftqFucaIS49AYr67hYwFu1qUDAiYEo0+p5S0uds48uKf6EI86fjIJaBUUBpvPZTQzkXLwCX3cfzzjeT8uZ+8lQdRqFRo/F1x7x9G0L9wbrrvpT2ImXcrxz74i6MvL0PpoMZjUDidnrnUJilhqqirZdDQowhP53dZTzJKY8n6La7uyQoKBdpgd8LuHEaH+0bZjJBwjQ4he/FeMn/aCQoFzt386fHhNTajPc51HEIIIdpfN88JOKicqTGVE+N3LSqF9U9blULNDVHzWJnyEnE5P2My1+Dv1IOZUd8Rn7ugRcmA3r6TKa/NZkfWt6w49hIemhBGhf4fCpQ2ows0ahfu6L2ErRlfcDD/TxIKV6FUqHC19yfEtT99/Wa06fG3hW5eE7mh+zzWp73PqpRXUCkd6OA6iHEd/meTlKg1VQAtryMQl/MTqaXbrZatPfE2UDfF4dRkwMk6CS4Ozfc9IOAmjhSuZkfWXKqNJdgpNXjrOnFp+Ev0D7jJ5t8BwJ7cBViwSOFAIU6hsFhOGxctxCni4+OJiYlh0KqHcO0Z1N7hiHPo5F30rq9dhf+VvVHp7FFp7VrVV8ILf5D1y26GbXvqrAoXnq1zGUdtUSVYYNu4D9CGepxVTYb2Vro/g+3jPyQuLo7o6Oj2DkcIcR6cPL/f22clAc49m99A/GedvJt/ecSr9PC5EnulrtVPCFh+7EX25P7C//XbelaFCxvySfw4HFRO3N5rUZv2e6aqjaWYLUZ+PHQLZTU5PDZgZ7vGczayyvfz6Z4Jcn4XjWr++SZCiItKwjOLWdf9RU58vbnVfRRuSCT8oTHtmgg413Fs7Pc667q/iD6rpM37FkIIIdra0mPP8sb2HmzL/LrVfSQXb2BEyINtngioqC0gp+IwE8NfaNN+W+OrvVfxxvYepJXtbu9QhDjnZJqAEAIAl27+9F1wR/3fjh1aX5V/6MbHmm90HpzLOKLn3YrFaALOvkCjEEIIca74O3bj5h4/1//tqQ1vdV8P9t3QBhHZcrL34pXhGeek7zN1dadZ1Pw9ZcFOqWnnaIQ4tyQZIIQAwM5Nd1aPOrzYeA6OaO8QhBBCiGZp7dzO6lGHF5tgF9saREJcqGSagBBCCCGEEEIIcZGRZIAQQgghhBBCCHGRkWSAEEDSrNWs9H+cqvSi9g7loleVXsRK/8dJmrX6nO5H3nMhhLg4rU2dxbObAijWp7d3KP9Kz24K4LejD5+Tvr/eN4VZsf1bvb28d0K0LUkGCCGEEEIIIYQQFxkpICiE+FfRBrkz9vjrKNSSqxRCCCHOtxeGpqBEdU76vrnHT4Cl1duPDH2Y4SH3o1Y4tF1QQlzE5Ne2EOKcM1boW9xWoVCg0tihVJ+bHyLn0pkcpxBCCPFvZKfUoFLaNdvu5OP3zoRaaY9a2foLeZVCjZ1Sg0KhaHUfQoh/yMgAccEz1xhJ/XITWb/voep4AUoHOxzDvQi+YSBB1zU+b60iKY8TX2+maHsK+qxSMJtx6upPh7uH43dFL6u21ZklJM9aTeHmJGryy7Fz1qDr4EXwjYMInFb3iBqL2cyJr7eS8fNOqtOKQQEOvi54DOhA1NtTUKjOX27u6KvLOP7JBoZueAynzr5W6/S5ZWyMeY2A6TH0eG96/fKCTYkc/2QDpXvTMdcY0YV7EXLTYEJuGmS1/YZ+r6MNdqfL85eT+PpySvakowvzZMia/6O2uIpj7/9F3qpD1OSWodLZow1yx39yHzrcPQKoqxmwqf8bRDw6lsjHxtX3a7FYSP9+B5k/76IiMRcUCnRhHvhf1Yfw+0fVt6stqCDpnVXkrUmgtqACBx9nfC/tQcfHxmLnom32tSk7lEXyO6sojj2OqdqAroMXQTP6E3r7UKsfH7GTP6M6vZh+v9zJ0ZeXUrQ9BYBLjrx8Bu+EEEKItmQ017A140v25y+msPo4aqUDXtpw+vnPJMbvuka3y69KYnvmHI6Xbqe0JguLxYyvY1eGBt1Fd+8rrNqW6DNZd2IWx0q2UFGbj0btjIc2jP7+N9HHdyoAZouZHZlziMv9mWJ9GgoUONv7EOo6gCsj30apOH8J71Upr7I541MejNmAj6P1I4TLa3J5J7YvvX2nMbnze0BdzYA+vtOZ0vkDAIr16by7cwCjQh7BUxvOloxPKag6Rr+AG7gs4mVqTVX8lfo2+/MXozeW4efYjbFhT7I37zf25P7Cq8Oz6vf39b4plOjTeWzAzvpls2L746YJ5srIN1mR8jKppTtQoKSj+3Au7/gazvY+9W3Xps5ifdp7PNo/FndNsNVxbEj/kKOFaymvzUWrdsXfqTsjQh4kzHUAABlle4jN/o600l2U1WajVNgR4NSTkSEPEeE+tK1fdiH+EyQZIC5o5loju675kuLY43iN7kLg9L4o7VSUH84mb9WhJpMBRduOUbwrFZ/xUehCPDCUVpO1MI69d/5Az4+NBEytu8g3G03svuZLDCVVBN8wEO3fbcsPZVG883h9MuDYB2tJfmc1/pP7EHLTYACq0wrJW3UYs8GEqplkQG1hyzPwahcNSrvGf2gETIvh+CcbyFwYR+dnLrVal/37HiwmM4FT/3nObvq8HRx6chFuMSFEPDQGlc6ego2JHH5qEVUnCuny/OVWfegzS9h17Vf4X9kLvyt6YTaaANh75zxK49MIvmkQTh19MFbUUJGUS9H2lPpkQEMsFgv77p1PzuK9uPULI+LhMahdNFQczSV3+YH6ZIChrJodV35CVWohQdf1x6V7AKV70znx1WaKtiUz8M8HUGkbv9tRujednZM/Q+mgJvimwTh4O5G7/CBHnv+DisRcur8z1aq9qbKGnVM+x2NgOJ2enoixrLrRvoUQQpxbRnMtc/dfy4myWDq5jybadzpKhZqcysMkFK5qMhlwvGQ7J8p20dVzPO6aEKqNJezN/Y2fE+5iqrmW3r5TADBZjHx74FqqjSX0878Bd00w1cZScioOc6J0Z30yYGPah6w98Q69fCYzwP8mAIr0JzhSuBqTxdBsMqDSUNji49aoXJq8k9/bdxqbMz5lb95CxnX4n9W6ffm/Y8ZEH99pze4noXAlZTXZ9A+4CdeAQBztPAD4OeEuEovW0tVzAhHuwyjWpzH/8G24a0JafAzlNTnM2TeVbl4TmdDhOXIqD7Mrex56Yzm39Py5yW2LqtP4ct8kqgxF9PGdToBTD2pNFZwo20Vq6Y76ZMDhwhUUVB+jh8+VuDoEUlGbx+6c+Xx74Fpu7fkrHdwGNbkfIS5EkgwQF7TULzdTHHucjo+NpeOj46zWWczmJrcNmBZjc9c79LahbBv7Psc+WFufDKhMzKXyWD69Pr8e/yt7N9pf3opDeI3qTK9PZlgt7/zc5Y1sYW1d9xdb1A6g32934zk4otH1zp39cOkRSPaiPXR6egIK5T+JiKyFcWiD3XEfFA7UjRRIeG4J/lf3too95ObBJDy7hNQvNhFy0yB0oZ7166rTiuj+/nSCru1Xv8xQVk3RlmQ6PXOp1Z38lsj5Yx85i/cSeF0/ur87zeoO/anv4/FPNlCVUkDU21MIvmFg/XLHjj4kvractLlb6XDvyEb3k/D8EswGEwNXPIhzZ7+647xlMPE3fUvGD7EEXz8A197/3IkwFFcR8cglRD4+/oyORwghRNvblvklJ8piGR36KKNDH7VaZ7Y0fc7v7TuV/gE3Wi0bFHAbn8SPY0PaB/XJgPzKRAqqj3FNl8/o4XNlo/0dLlxBpPsopnWZbbV8QvhzLTqWN7b3aFE7gFt7LiTcbXCj630dOxPg1IN9eYu4JOwplIp/zvl7cxfi5hBMmOvARrc/Kb8qiQdi1uGl++f3xdGitSQWraWv3/Vc1emd+uXhbkOZd/CGFh9Dof4413T9nB7ek+qXKVAQm/0d+VXJeOs6Nrrtn8lPU1mbzy09f7V6HYZh/b6PDHmYcSrrZEh//xv5MG4Em9I/lmSAuChJMkBc0LJ/34OdhyPhD4y2WXfqBXBD1Dr7+v82VRswVdeCBTyGRJD+/Q6M5XrUzhrUznVDz/PXHsFrZGfsXBsein7yTnb54SycuwWc8bH0XXBHi9u6dPNvtk3AtBiOPP8HRdtS8Bxad5ItT8im/FA2EQ+Pqb/gzl26H3ONkaDrB9iMTvAe15UTc7ZQuCkJ3Q3/JAPs3HUETo+xaqvS2KF0UFO0NZnA6TE4+Li0+Hiyf98DCgWdn7nMZp7gqe9j7oqDOPg4EzTDesRH6O1DOfbBWnJXHmw0GVBTUEHJrhP4XdGzPhFwsv/wB0aR/1cCuSsOWiUDAMLuGt7i4xBCCHHu7M9bjM7Og+HBD9isO/UCuCH2Kl39fxtM1RjM1ViwEO42hJ3Z36M3lqNRO+Ogrjt3HS1aR0ePkWjVrg32p1G5kFd1lJyKw/g5dTvjY7m5R9N3w0/l79h8/719p7H82PMcL9lWPyQ+pzKBnMrDjAx5uEVz8Dt7XGKVCAA4WrgGgKFBd5/Wdgzeukjyq5JadAzO9n5WiQCoSyjEZn9HYfXxRpMBVYZikos30NnjkgYTIqe+76e+x7WmKoxmPSggyLkP6WVxLYpTiAuNJAPEBa0ypQDXXkEo7c/8n7qxQk/SO6vJ+WMfNTllNusNpdWonTVog90Jf2gMKR+vI/v3Pbj0CMR9YDj+k3pZXThGPj2BPbd8x9Yx76MJcsdjQAe8RnXG74qeLYrPa3inZtuciYCr+3D05aVk/rq7PhmQtbDuZBgw7Z8L+YqkPAB2Tfm80b5q8sut/taFetokW5T2arq8NImE55ewvverOHfzw31AOL4Tu9fvvzGVKQVo/F2x93Rssl11ehFu0aE29RdUGjt0YR5UnyhqfNu0unWn11CoW1aXHKhKs97e3tOxRXUIhBBCnHuF1SkEOPVCrbRvvvFpaowVrD0xiwP5f1Bem2OzXm8sRaN2xl0TxIjgh9iU/jH7838nwKkHYa4D6O49iSDn3vXtx3Z4ih8P3crs+Etwcwgi1HUAke6j6O59eYvi6+jetonmXt5XszLlZfbmLaxPBuzNXQjUjYpoCQ9tmM2yYn0aSoUaD20Hm3Ve2ogWJwM8GphSoLVzB+ou+BtTVJ2KBQt+TlHN7qOiNp/Vx9/gSNFqqgzW53MFUpBQXJwkGSAucBZoZcXZfffOJ/+vI4TcNBC3/h2wc9OhUCnI/Hl33bx6yz+Pxun01ASCrutH/l8JFMceJ/OnnaR+tpHwB0bT6X8TAXDvG8bwHU9RsP4oRduOUbT1GFm/xXPsw7UMXHp/sxeVNXm2CYnG2Lnpmk0w2Hs54TWqM7nLDmJ6oxalRk3W73txjQnBMdz7n4Z/H2fPT2Zg79XwxfipUwQAlI3Myw+5aRA+E6LqXqftKeQu3U/aN1vxv7oPvT6d0eA2dTHAv/E8rdSe+Q9OIYQQ54YFWl1l/pcj95JYtJb+/jcS4tofndodhUJJfM4C9uf/juWUx+GN7fAkMX7XcrToL06U7iQu52e2ZHzO8OAHGNfhaQBCXPrySP/tJBdtIKV0K8dLtrEv7zc2pn/IXb3/RKNuenRceW1ei2PXqt2aTTA42nsS6T6SQwXLuKLj66iVGvbnLSbYOQYvbXiL9mOnPHfJb0WTNRQafxThyfeluYt5s8XMtweuo6DqGIOD7iDAqQcOKmcUCiWb0meTUrKlNWEL8Z8nyQBxQXMM96YiMRezwdRkQb3TGUqryf/rCAHToun2xmSrdRk/7WpwG12oJ6G3DSX0tqGY9AZ2X/c1KbPXE3bPCOzd64amqR0d8Lu8J36X9wQg7dttHH76dzJ/3k3YncOajGl9r1daHH9zNQNOCpwWQ/6auuHv9t5O1GSXEvGQ9ZQKXQcvoO4ueFuMTtD4uhB8/QCCrx+AxWRm/wM/kf37HjrcOwKX7oENbuMY4VX3dICiSuw9Gh8doAvxpDI5D4vJbDU6wKQ3UHWiCOeufo1uqw2pK4RUcTTXZl1FYu7f/Xu06BiFEEKcf17acPKqEjGZDS16NN5J1cZSEovW0tt3GldEvmG1Li7npwa38dCGMijwNgYF3obBrOe7AzPYnD6boUF3o/v7jraDypEo78uI8r4MgNisb/kz+X/E5yxgcFDTU//e2tG7xfE3VzPgpD6+0zha9BeHC1biZO9FWW02I0IebPF+GuKmCcZsMVJUfdxmCkFB9bGz6rslPLVhKFCQXXmoyXa5f0+JGBXyCGPCHrNatzb1nUa2EuLCJ8kAcUHzv7oPia8t5/js9UT83yVW6ywWS6N3EBSqv5efloyuSM4jb+VBq2WGsmpUWnurZINKY4dTpA/FO1IwllZh766jtrDSZpi7S4+6i19DcfNPCmjrmgEAPuOiULtqyVoYh723Mwp7lU0RRP9JvUh6cyVJ76zCfUAHVBrrH1iGsmpUDnX1AJpiqqoFQHVKLQaFSolzV3+yf9+Lobiq0W39r+5D3qrDJL6+gqh3plgXEDzlffSZEEXKR+vI+HkXwdcPqG+TNncrpooafCd0b3QfDl5OuPULJXflISoSc3HqVDddwGI2kzJ7PQC+ExvfXgghRPvq6XMVq4+/zqb0TxgV+rDVuqbO+UpU9W1OlV+VTELhKqtlemMZdkqtVbLBTqnBWxdJaukOqo2l6OzcqTQU4mhnPWouwKmuKGCVsfFh7ye1dc0AgC6e49CoXdmXtxBHO29UCnt6ejdeBLFFfXqMZVf2PLZkfG5VQPBo0doWTxE4Gzo7Dzq6j+Ro4RqOl+ygg5t1IcST7/s/T2+wfo9TSraRUR5/zuMU4t9KkgHighZ2xzDyVh8i6e1VlMSn4Tm0Iwo7FeUJ2dTmVxD97c0Nbqd20uA5rCNZv8Wj0tnj0j2QqhOFpM/bgVOkL2UHMuvbFm09xqHHF+J7WQ8cI3xQOdpTtj+DjPk7cesXii6s7s765uHv4BYTglufEBz8XKjJLSf9hx0oHdT4TerV7LG0dc0AoG7fV/Qk86ddKO1V+FzSFTs3nVUbTYAb3d6czMFHf2XL8HcImBKNJsid2sJKKo5kk7viEEM3PYYuuOm75pUp+eyc/Dk+E6Nw7uKHnauOiqRc0r/bjjbUA7d+YY1u6zepFzlLD5DxYyyVSXl4j+uK2klDZXIeJfFpDFpWVyyqw30jyVm6n0NP/EbZvgyco/wp3ZtB5oLdOEf5E3LLkCZj7Pryleyc/BmxV31KyE2DsPdyInflIYq2JBM0c4BN8UAhhBD/HoMD7+BI4WrWnnibjPJ4wt2GolKoyak8QqUhn+uj5ja4nYPaiXC3YezL+w17lQ5/p+4U60+wM3sePrpIsioO1LdNKdnKkqQniPK6DC9tBPYqHVkVB4jLnk+IS188/55X/+HuEQQ7RxPkHI2Lgy/ltXnsyv4BtcKB7t5XNHssbV0zAECtdKC71xXE5/yESmlPZ89L0Nq5nVWfnTzGEOk+kt05P1JlKKp/tOCu7B/xc+xGTuXhNom9KZd3fI0v907i2wPX0Mf3GvydojCYqkgr202Ac09GhjyEl64j3rpINmd8hsGsx1MbTm5lAntyf8HHsQu5lQnnPE4h/o0kGSAuaEoHNf1+uYvjn24g+/e9FGxKRKW1xzHCm+Abm36MTq9PZnD01WXkLj9A5oJdOHXyo/usqZQfybFKBjhHBeB7aQ+KtqWQtWgPmMxoAt0Jf3A0YXf/czLvcPdw8tce4cScLRjK9Th4OeEaHUr4A6Nw7tqyO/nnQuC0GDJ+iMVUbbYqHHiqoGv74RjuxfHPNpI+bweGMj32Ho44RngT+eR4HLydm92PJsCNwGv7UbQtmbyVhzDXGtH4uRJ0/QA63D/KZsTBqRQKBb2/uJ60uR3I+HkXybNWo1Cr0IV5EnB1n/p2di5aBi65j6S3V5G3+jAZP+/CwduZ0NuG0PGxcagaqWVwkmvvYAb8cR9J76zmxNxtmKprcezgRZeXJhF6x9Bmj1EIIUT7USsduKXnL2xJ/4z9eb+TXLwJO5UWL20E/f2bfszd9C6fsPL4KxwuWE587gJ8dJ24OnIWOZUJVskAP8counld+ncNgEWYLSbcHAIZHvKAVUX9IYF3kVi0jh1Zc9Aby3G08yTYJYYRwffj59j1nL0GzenjO5XdOT9gNlfTx6dlhQObolAouK7b16xJfZP9eYtJLF6Pn2NXZnSbw87s7yisTmmDqJvmqQ3j3uiVrD/xPolFa9mTuwCt2o0Apx50cK17XKBKoeaGqHmsTHmJuJyfMZlr8Hfqwcyo74jPXSDJAHHRUlhOHxMlxCni4+OJiYlh0KqHcO0Z1N7hCCHOgdL9GWwf/yFxcXFER0e3dzhCiPPg5Pn93j4rCXDu2d7hiAvQx7tHY7IYeLjf5vYO5aKVVb6fT/dMkPO7aFTTD10VQgghhBBCiEYYTNU2y44W/kVu1ZFzMt1BCNF2ZJqAEEIIIYQQolXWnphFbmUCHdwGo1G5kFVxkD25C9DZeTAs+L72Dk8I0QRJBgghhBBCCCFaJcx1IOllcWxJ/wy9qRyt2o0or8sYE/YErg4B7R2eEKIJkgwQQgghhBBCtEoXz7F08Rzb3mEIIVpBagYIIYQQQgghhBAXGUkGCCGEEEIIIYQQFxlJBgghhBBCCCGEEBcZSQYIIYQQQgghhBAXGUkGCCGEEEIIIYQQFxl5moBokcqkvPYOQQhxjsjnW4iLV15VcnuHIIQ4R+TzLZojyQDRJC8vLzQ6Lfvv/6m9QxFCnEManRYvL6/2DkMIcZ54eXmh1ehYePT+9g5FCHEOaTU6Ob+LRiksFoulvYMQ/25paWkUFBS0dxjnRHJyMtdccw3vvPMOo0ePJjY2lkcffZSOHTvy4Ycf4urq2t4hivPoyJEj3H///bi4uPDJJ5/g7+/P22+/zV9//cXy5ctRqy/c/KmXlxchISHtHYYQ4jy6kM/vv/zyC7NmzWLFihV4eHjw3Xff8fHHHzN16lSeeOIJVCpVe4cozqOlS5fy0ksvMWLECF577TXs7e259tprCQsL46233mrv8M4pOb+LpkgyQFzUHn30Ub7//nsyMzNZsmQJM2fOZMyYMfz66684Ojq2d3iiHSQnJzNu3Dhqa2tZvXo1NTU1REdH8+eff3L55Ze3d3hCCCFaICYmhuDgYBYtWsTjjz/Oe++9xwsvvMALL7yAQqFo7/BEO1i6dCnTpk1j4MCBLFmyhDlz5vDkk0+SlZUld87FRUsKCIqLVm1tLfPmzeOGG27gm2++4ZprrmHq1KksWbJEEgEXsY4dO7J161Y8PDwYNmwYNTU19O7dm2+++aa9QxNCCNECe/fuJT4+nhtvvJFbbrmF999/n48//pgXX3xREgEXscsvv5w1a9awd+9eRo4cybhx47BYLMyfP7+9QxOi3UgyQFy0li1bRn5+PrW1tdxzzz088MADzJs3j9raWlasWEFqamp7hyjOs507d7J161a8vb3ZuHEjXbt2ZcyYMQwaNIg///yTvDwptCeEEP92c+fOxcfHhzlz5jB//nx+/PFH7r//fnJzc1myZAnl5eXtHaI4jywWC0uXLuXIkSMMGTKEjRs3kpOTw1VXXcWYMWOYM2cOMlBaXKxkmoC4aF1++eXs2rWLvLw8HnzwQUJCQli5ciWbNm2itraWt956iyeeeKK9wxTn0cSJE1m5ciXu7u6MGzeO0aNH8+uvv7JhwwYA3nrrLR555JH2DVIIIUSjampq8Pf3R6fTUVRUxKuvvkpRURErVqwgPj4ehULB1q1bGTRoUHuHKs6TyspKQkNDKSwsJCwsjIkTJxIdHc3rr79OSUkJxcXFxMXFER0d3d6hCnHeSTJAXJTS0tIICwvDYrHg6elJYWEhDg4OjBw5kokTJzJx4kQiIyNlOOFFxmQysWvXLlasWMHy5cvZvXs3AB4eHhQVFeHv709mZqb8uxBCiH+pr776ijvvvBOVSoVOp6O8vBwPDw/Gjx/PxIkTGT9+PD4+Pu0dpjjPqqqqWL9+PStWrGDFihWkpKRgb2+Pvb09FRUVTJkyhYULF7Z3mEKcd5IMEBelV199leeeew5fX1+mTp3KxIkTGTVqFDqdrr1DE/8ieXl5rFq1iuXLl7N48WL0ej05OTn4+vq2d2hCCCEaMHDgQGJjY4mKimLKlClMnDiRfv36ydMDRD2LxUJSUhIrVqzgjz/+YP369Tg6Osr0EXFRkmSAuCiZzWaOHTtGx44d5S6vaBGTyURqaioRERHtHYoQQohGlJeXU1ZWRmBgYHuHIv4jysvLKS8vJyAgoL1DEeK8k2SAEEIIIYQQQghxkVG3dwBtJS0tjYKCgvYOQ4gW8fLyIiQkpL3DuKDId4Bob/K5Pn/k8y7am3zezw35bIv/igvlO+CCSAakpaXRuWsX9FXV7R2KEC2i0Wk5mnDkgvgS+TdIS0ujS5euVFdXtXco4iKm1eo4ciRBPtfnWFpaGl27dKVKPu+iHem0OhLk896m0tLS6NK5K9V6+WyLfz+tRseRo//974ALIhlQUFCAvqqajh9PQRvp1d7hCNGk6qQCkh/4jYKCgv/8F8i/RUFBAdXVVTx45RcEenZq73DERSizMJGPltwln+vzoKCggKrqKp65/StC/Tu3dzjiInQi+yivfX2HfN7bWEFBAdX6KqZ0/BgvbWR7hyNEowqqk/gt+YEL4jvggkgGnKSN9MKphxT/EOJiFejZiXD/Xu0dhhDiPAj170yn0N7tHYYQoo15aSMJcOrR3mEIcVFQtncAQgghhBBCCCGEOL8kGSCEEEIIIYQQQlxkJBkghBBCCCGEEEJcZCQZIIQQQgghhBBCXGQkGfAfsD3wBZIf/r3V2x+aOpf4Ae+3YURCiDMx7TUPZv95X6u3f2HeFdw7WwojCvFfMPJ2F9745u5Wb//Q25dyzZPd2zAiIcS/wQvbA/k9+eFWbz/30FTejx/QdgEJwQX2NAHx72Qs15P+zjoKlx3GWFyNJtgN3xv74XfrABQKxXnrQwjROlU1Zfy88XV2JPxJRXURPm4hjIu5lYl972zR5+9A6iZW7PqS1NyDlFUVoFKq8XULY0TPaxgbfQv2ak192182vcmvm99utC8/93A+vnd3/d+z/7yPjft/arDtczMW0bPDyBYfpxACKqvL+Gbxq2yMW0JpRRH+XqFcOfI2Jo+5u1Xn29iDa3jygykAfPX8FiJDejbatrA0l5ue60dFVQn3XfMG08Y2nkS1WCzc/+ZYDh3byZDel/Ha/Q1/Dwgh2obeWM669Hc4XLiMamMxbppg+vneyAC/W1v83dAWfYi2JcmA/4ABx54FVesHcXSdfwNY2jCgM2A2mEi4bh6VB7Lwvak/ui4+lG46RurzK6jJLCXs+fHnpQ8h2tOPT2ahVKhavf2zM34DS/t8iI0mA6/On0JKzj7Gx9xGiHdX9h3fwNzVT1NQmsGNl7zSbB+ZBYmYLWZG9ZqBu5MvBmMtCenb+HbNM+w59hfPXLuw/kfAgM5X4OcebtNHQvp2/trzHTGR4xrcxwOTPrdZFuzd9QyPVoizt+qzPFRn8Xmf9chiLO31eTcaeOz9q0g8sZerRt1Bh4BuxB1ez8c/P0luUQb3Tn/tjPrT11Tx/g+PoHVworqmotn2s396EpPJ2KK+/9gwh5SMw2cUjxDt6dkBx1DS+u+GG7rOp71+0JvMBuYlXEdW5a5he68AAIZrSURBVAH6+96Ej64Lx0o3sSL1eUprMhkf9vx56UO0PUkG/AcoNXZnt719+73NeT/FU7Eng7CXJ+J/20AAfGfEkGS/iOyvtuNzXTS6SO9z3ocQ7enUO9+tYaeyb6NIzty6vT+QlBXHLePe4NJ+dwEwps+NfPyHA0t3fsbo3jMJ8urcZB8T+t7OhL63Wy2b2O8Ovl75OKvi5pCSs48I/94AhPpGEeobZdPHjiN/ADCq18wG9zG8x/QzPTQhzgkHu7P8vKvb7/O+bMv3JKTs5oFr32LKJfcAcPnwm7CbY8/CNZ9w2dAbCQ1o+vN+qm//eAODoYbLh9/Er2s+abLtjv2r2Bi3mDsmv8gXvzV9UVBYksOXi17ipklP8fmvz7Y4HiHak53y7L4b1Mr2+26Iz/uJjIo9TAx7mYH+twEQ4zuDRUn2bM/+imif6/DWRZ7zPkTbk5oB7USfXszRO35mZ+fX2dn5dY7cMh99WjHxA97n0NS5Vm1PrxmgTy9me+ALpL+7nuI1R9l/6RfsCH+F3X3eIfWVVViMJqvt27NmQMHv+1Fq7fC9PsZqecCdg8BsoWDxgfPShxBtLa8kjVkLb+TGd0K48Z0Q3vrlenJLTnDv7F68MO8Kq7an1wzIK0lj2mse/LLpTeKSVvHUN2OY8aY/d3zQle/XPo/JbH1nrD1rBmw+9CsOdjou6XOT1fLL+9+LxWJmy6HfWt23t2swAFX60ibblVbmE5+8mgj/aEJ9ujXYxmKxUFVThtlibnU8QjQmu+AEz386k0vvD+TS+wN5Zva1ZOencs2T3Xno7Uut2p5eMyC74AQjb3dh7pLX2bZvBXe9OoKxd3sz+dFIPvv1WYyn3Qlvz5oBf8X+gsZex+UjbrFaPm3s/ZgtZtbu/LXFfSWnH+DXvz7hvmveQKdxbrJtdU0l7//4KJcPv4UuHWKabAvw0U9P4OsRxNRL7m1xPEKcC8X6dH4+egev7+zM6zs7M//ILRTr03g/fgBzD021ant6zYBifTovbA9kffq7HC1ewxf7L+WVHeG8s7sPq1JfwWSx/m5oz5oB+wt+x06pJcb3eqvlgwLuxIKZAwWLz0sfou3JyIB2YCiq4tDV32AoqMT3hr5oO3pRtjONw9O+xVRV2+J+itclkfPdLnxv6IvPNX0oWn2U7M+3oXbVEvTg8FbGVtnitipnDUq7xoc7WcxmKvdn49jD32Z0gy7KD6XWjsp9mU3uoy36EKKtlVcV8fz3l1JSmc+46FsI9OpEQvp2XvphEnpDVYv7iU/+i1Vx3zA2+mZG9bqeXYnL+XPHbJw0bkwe8kirYiurKmxxW52DC2pV4yOPzBYzKdn76ODX02Z0Q5hvdxzsdBzL2tPi/VXXVmAw1lBdW0Fixk6WbP8IF50XEQF9mtxu04EFmMxGRve6vtE2N80Kpbq2AjuVA1GhQ7lu5LOE+0vRRXH2SisKefCtCRSX5TFpxK2E+ndmf9I2Hp51Ofqalp8zYw+sZsmGr5k04lYuHXIDW/YuY8Gqj3DWuTHzssdaFVtJecs/705aF9TqJj7vZjOJJ/YSGdLLZnRDx+AeaOx1HEmNb9G+zGYz737/IH06D2N0/ynMXfJ6k+3nLnmd2tpq7pj8PMnpB5tsu33/SjbFL+GjJ1ahVsnPWNF+qgxFfHPoaioNBfT1vQEvbUfSynby7eFp1Jpa/lsgqXgdu3K+o6/vDfTxuYajRavZlv05WrUrw4MebFVslYaiFrfVqJxRKZv+LZBduR9/xx42oxv8dFHYKbVkVu5rch9t0Yc4N+RbtB1kfbqF2uwyOs6egvfVdYV0/G7qz4lXV5P12dYW91N9NI9e6+9DE+wOgO+N/dg35lNy5sa2Ohmwu0fjhbtO1+3Xm3Ed3KHR9cYSPWa9AXs/2zsCCoUCe7//b++uw6M43gCOf89yd3F3JwkJRHDX4lagQCnQUoHKr95SN+qlRo1So0WKFIcixd0thBAkCZKEuOtdkkvu90dK4LjIEQKBMp/n6VOyOzs7e8ns3r478641ZWmFde6jMeoQhMa2av93ZBem8PzwX+keWhX5H9D2Mf7cOpW/D/xgcj2Xss4w/Yl9ONt6A9C/zaNM+a0r/xz+rcHBgEnfmD7E7v0H/6alT7da1xdr8ijTabC3cjNaJ5FIsLdyI6co1eT9/b7xdYNkf4HubXl80NeYK63r3G77iYWYydV0bTnKaJ2thTNDOvyPZm6tMJOruZAWxbrDv/DOvEFMnbCS5p4i87JwYxb98y2Zucm88/gs+nasmo4yvPdkfl76Ln9t/M7kei6mnGH2hwdxc/QB4N5ek3h0aidWbPulwcGAES/Vfg2+1jevrKN1cPda1xeW5FJapsHJ1t1onUQiwdHOjaxc0/r7qh2/EZ90ktkf7K+3bFziCZZv/YnXHp6BlYVdnWU1pcV8u+AVBnaZQFhgJ5PaIgg3y56UmRSUpTIqYAbhTiMB6OD6MJsSPmZvyk8m15OhOcszEduxU1WNlmvvMpGZUX04mDa7wcGAL46EmVz2kRZL8bPpUut6rS6P8kotVmauRuskEgnWZq4UlqXVuY/GqEO4OUQwoAnkbj6Lmas1jiMMO6r7U12uKxhgPzC4OhAAVZ3JposvabMPUVFcisxCed1tC1k00eSyFi2MO/TVKjXlVe2qJWeBVCWn4t8yN7MOQWhsR+M2YG/lRrdrbk7v7fTsdQUD2gcNrg4EQFUfbunTnQ1HfkNTVoTazPK62/bu+BUml/Vxrnsocqmu6smGQl7zuUQhV1JarjF5f8M7PUeP0DHkF2cRdX4bydmxlJQW1LlNXPJRkjLP0D30fixUxkGDB++ZavBzx+ChdG4xkjf+uIffN77BF5O2m9w+QajJvqh/cLRzp0+HMQbLxw54/rqCAd1aD6kOBEBVf28d3J2V236lRFuEuer6+/tXL682uWyAVz39vayqLysUNc9LNpOr0JbV/7QzMzeF31d+xPhBL+LpElBn2csjCEKbdWJAl/H11j171SdotIU8Obr+xKWCcLOdzd2MtZkrYY4jDJZ3cX/quoIBwfYDqwMBUHVu8LXpwqG02ZRWFKOUWVx32yaGmP52DVeLmqffXVZeWXVukEtqPjfIpSrKK+r+LtAYdQg3hwgGNAFtUh5Wbb2MXqGhcLREZmN6chGlt3EEXW5nDoAuV9OgYIBtj2bXvU1tpOqqIUf6spozA1dqdcjUdSdHbIw6BKGxZeQlEuTZwagP21g4YaGyMbkeF1sfo2VW6qp+XaTJbVAwoDFfpaeUV51PynWlNa4v15WiVKhNrs/LKRgvp2AAuoeOZumuz/lo4Si+enxXrUkIt0ctAKhzisC1fJxb0C5wIAfO/E1+cSY2FiLBqNBwqVkJhAYYv8bWztoJS3Nbk+txc/I1WmZtYQ9AQXFOg4IB7Vr0vu5taqM0q+rL5eU1T1cs02lRmZnXW8/3C1/FxtKB8YOn1Ft25bZfiE+KZtbU+h+ExCVGsWzrT7z84LfYWjnUW14QbrY8bRJeVm2Nzg2WCkdUMtO/C9gpvY2WmcurvgtodLkNCgY0s23YCOGaKKRV5wadvuZzg65Si0JW93eBxqhDuDlEMOAOJqnjdYMNfS1RWYbpQ+7ltuo631Qgt1UhVSlqHMav1+spSy/EuqPxCbCx6xCE25VUWkfOjQb24dyidJPLWqrt6nxTgYXaFjO5mpxC46HBer2enMI0QrwaPlS3e9j9LNn9ObuilzK+t3FG8NJyDXtPrcDF1rfO6Qw1cfp3xEVBSbYIBgi3hbpeL9rQ/p6db3p/t7awq/NNBVbmdijN1GTmpdTYvqy8NMIDO9e5j2Ond7I7cg0vjP+KzJwr+XwKi3MByMxJRq20wMPZn2JNAb+v+ph7OoxCLlNwKf0cAFn/7j+/KJtL6edwtHVDpTTnh0Wv4+ncjFbNu1aXvUxbWsKl9HNYWdhiYykCBcKd5WacGwrLMkwuq5bb1vmmApXcFoVUVeMwfr1eT2FZOt7WdU/Ja4w6hJtDBAOagNLTFu35bPR6vUE0sTyriIp8bRO2DI62/srksvXlDJBIpViEu1EcnUplqQ6p8sqfW8mpdCpLyrAIN56b2Nh1CEJjc7L1JjUn3qgP5xdnUlxPZvyb7YnvQkwuW1/OAKlEir9bBBfSTlCuKzWYLpCQEUNpeXH1KwEbouzfKQbF2rwa1x86u5aS0gLu7fSs0ZOX+qTlnAcQgQDhhrk6epOUbtzfcwsyKSrJa7qGAaOmmJ4jpL6cAVKplCCfVsQlRFFWXoqZ4kp/P3fpJNrSYpr71p3sMz3nEgDfLaw5B8JbM8YCsH5GCoUleZRoC9m0/y827f/LqOz8dV8xf91XfPrcYrpEDCI95xLp2Yk8+HYbo7JHT2/nwbdbc3//53j6/k/qbKMgNBZbpSfZ2vNG54ai8iy0FU37XeCro3X31avVlzNAKpHiZhFOanE0uspS5NIr54b0klOUVZbgbhFe5z4aow7h5hDBgCZg1y+I1J/3kbUqujqBIEDKz/uasFVVGjNnAIDjiDAKDyWSPv8IbpOuPEFM/XUfSCVGeRM08ZlI5DJUvvYNrkMQbra2gQNYc2AGe2KWVycQBPj7wIwmbFWVxswZANCt5WjOJB1gc+QcBrd/snr52oMzkUikRkn9krNikckUuNpdCRTmFWVga+lsVPeGI7MACPSo+VVi26MWIpFI6RU+rsb12rJiZFK5UU6Ds5cOcjRuI4Ee7bA2F08JhRvTJWIQizd+z9ZDS6sTCAIs3vh9E7aqSmPmDADo22EM0XH7WbPzD0b1/V/18qWbZiCVSI3yJiSkxiKXyfFw9gegdXB33n9qnlG9O46sZMeRlTw15mNcHbxRmqmxs3KqsezFlNPM+fszBnaZQKfwATT3rbr5f/nB6WhKjXMWvP/zRIJ92/DAwBfxdhXvKBdunSC7fuxL/ZnorFXVCQQB9qX83IStqtKYOQMAwhxHkFh4iCPp8+nkNql6+b7UX5EgNcqbkKmJRyaRY6/ybXAdwq0hggFNwOOZbmStiubcS6soiryEulnVqwWLjiQht69/Pt7N1Jg5AwCcx7clc+lxEj7cSGliLupgZ/J3nSf775O4Pd4Z8yDDG4TjPWeg9LSlzcGXGlyHINxsIzq/wJ6Ty/lxzTPEpRzBw6Hq1YKxlw5hZe5w3U+xG1Nj5gwA6NPqIXacWMi8Le+SkZeAl1MIJy7sYN+plQzp8L/qHACXvfhLJ5xsvJj57JVXBL0zdyCeTsEEuLXGzsqVgpJsjsZt4OylQ4R4d6F76Jhrd0tmfhInL+4iwv8eHKw9amxbas55Pls8lnZBg3Cz90cpN+dC+gl2nFiEUqFm8oAvG/WzEO5O4wa+xNaDS5n2x/84ff4I3q5BnIjbx8lzh7CxbNr+3pg5AwCGdH+YDfsWMHPp26RmJeDn0YIjp7ax/fAKxvR7Bl93w/7+8LvtcHHwZvHnVa8DdHXwxtXBeOreheRTALQN6UWgd9VDEJnSnF7tRhiVjTxTFcBr5hVqsL5jWP9a2+1g61ZjXYJwM3XzeIborFWsOvcSl4oicVQ3I7HgEElFRzCX29dfwU3UmDkDANo6j+d45lI2JnxIbmkizupgzufv4mT233R2exxn8yCD8jOO98RW6clLbQ42uA7h1hDBgCagsLcgdOUkEj7cSMZfkVWv1OjiS4uljxA9+NfqpHn/BVKFjJCFE0n6chtZa2LQzTuM0ssO3/cH4jrJtLlBjVGHIDQma3MHPnp4PfO2vFv19Bpo6dOdqQ/+zZt/9MFMbnoi0NudXKbgnXErWLzzU/adWkWh5g+cbX14pN8nDLpqpEBdBrR9jMNxG9hwdBZFmlzM5Co8HZvzSL9P6N92EjKp8aVoR9RC9Oi5p1XtiQNtLZ0J9e1BTMIe9pxcSpmuFDtLF7qHjuG+ri8bjE4QhIaytXLgh9c3MnPJ26zfM7/6LQDfvrKWJz/phVLxH+rvcgVfvrSKP1Z9zPbDK1i9Yxaujj48M/YzRvX5X/0VCMJdxEJhz6TQlWxM+JDIjL+q3gJg3YVHWizl1+jB1Unz/gtkUgUTQxayLelLYrLWcFg3DzulFwN936ej66T6K2ikOoTGJ9E3NDPFbeTYsWO0bduWsA1PYhl2584fL88p4UjY57g82A7/z4c1dXOEm6QoOoXogb9w9OhR2rQxnvsoXL/L54DPH9uOv1tEk7WjsCSHx74JoF/rR3hi8PQma4dw651PjeL1P3qLfn0LXO7vv767iyCfVk3WjvyibIa/6Mewno8x5aFvm6wdwq0Xm3CcJz7qIfp7I7vct58M24C75Z07BbSkPIfPj4TRzuVBhvl/3tTNEW6ClKJofoke+J84B9Sejl64qSo05UbLkn/cDYBNIw/VFwSh8ZWWG78Pd+X+bwEI9+91axsjCMJNVVpm3N8X/vMN0PhD9QVBuHOUVxifG3Yn/whAM5vGHaovCDeDmCbQRE6Pn4fKxx6LcDeo0JO3+zx5W2Oxau+N/cDg+isQBKFJfbxoFC52fjRzjaBSX8GJCzs5Fr+J5p4daR80pKmbJwhCI3rlmxG4O/nR3KcVFZUVHD29gwMnNhIa0IlurYc2dfMEQWgi806Px17lg5tFOHoqOJ+3m9i8rXhbtSfYfmBTN08Q6iWCAU3Erl9zslacIGfDaSq1OszcrXF7qgteL/dCIhMDNgThdtcucCC7Ti7h0Nm1lJVrcbT2YFinZxnT/TVk0trfGSwIwp2nS/ggNh9YzJ7ItZSWaXC292DsgOd5eNgbor8Lwl2suV0/TmSt4HTOBnSVWqzN3Oni9hS9vF5GKhHnBuH2J4IBTcTj6W54PF37+70FQbi9De/8PMM7P9/UzRAE4RYYN+hFxg16sambIQjCbaabx9N083i6qZshCA0mHkELgiAIgiAIgiAIwl1GBAMEQRAEQRAEQRAE4S4jggF3GW1SLvs9ppL09famboogCE0kIy+RMZ/Ys2TXtKZuiiAIN1lqVgK9Jlsze/WnTd0UQRAaSa42ian7Pdie9HVTN0W4w4mcAcIdrTgmjeTvd1F8MpWyzCIAlJ62OAxtgdvkzsitVQblK0rKSPv9AJmroilNykNqJkfl74DLhLY43d8KiUTSFIchCEIjSsg4xeu/96KiUsero/+kQ3PxdgdB+K+IT4pm/rqviEuMIic/AwAXBy96tRvB6L5PY2lu08QtFATheqUVx7Ar+XtSi09SVJYJgK3SkxYOQ+nsNhmV3Nqg/DfHOpJXeqnGut7rlIBMIm5xTSU+KeGOpk3MRVeoxWFEGGYuVgAURSWT/P1uctafJmzt40hVCgD0ej1nJi6g4GACTmNa4fZoRyo15WT9fZJzL69CE5+Jz9v9m/JwBEG4QZX6Sn5Z/yIKuYqKsqKmbo4gCI0sNfMixZp8+nQYjYOtGwBnLx5j/rqv2HX0b356ZztKhaqeWgRBuJ3kahPR6goJcxiBlZkLAMlFUexO/p7TOet5PGwtCqlhv3ZUB9DDwziRsxTxFofrIYIBwh3NYVAIDoNCrlnaHnWAI4kfbyZ3axwOQ1oAUByVQsH+i7hN7oTvB4OqS7s80oGoXjNIn39UBAME4Q63+ehsEjNOMbzz82IahCD8B3VvM4zubYZds3QS3q5B/LzsXQ6c2EjPtsObpG2CIDRMiMMgQhwGGSxrT9UN/+bEj4nL3UoLB8NRfpYKJyKcRt3CVv43iWDAdajUlpP84x6yVkVTllKAxEyGmbs1dn2C8HmrX3W5rNXRZK04QXFMGuXZxcitVVh39cP79T6ofOwN6tzvMRWnMa1wur8VidO2UhKThtxWjetjHfB4pju6PA0XP9pI7uZYKovLsO7qR7MvhmHmemW4TNLX27k0fQcRW58mbe5hctafQldUimWoG97v9Me6vXe9x6bX60mfd5iMRcfQxGWBVIJlhDueL/XCpqufQdnMpcdJnX0Q7YUc9OUVKJwssWrnhe8Hg1DYm9/Yh9xIlB62AOgKNNXLdAVaABSuVgZlpQoZcgcLKrTlt6x9wp2rTKdl1b5v2ROzguyCZOQyBQ7WHrQJ6M+D90ytLrc3Zjm7Ty7jYno0+SVZWKhsCPXpzrhe7+Bi52tQ55hP7OkZPo7e4eNYuP0jLqafxFJty6B2TzCiywsUafKYt/VdjsZtRFtWTKhvd54c/A32Vm7VdSzZNY2lu7/g68f3sPHoHxw8u4aS0kL8XcN58J73CfbqVO+x6fV6Nh2bzdbjf5KcFYtEIiXAvTWju71KqG93g7I7T/zFP0d+IzXnHBWVOmwsnGju2YFH+32Glbl9LXu4uXIKU1mw40NGd3sVGwunJmmD8N9SWq5l4frpbDu0jIzcZOQyM5ztPegUNoAnR39QXW7roWVsObCE+KRo8gozsVTb0DqkB5NHvoe7k+E1tNdkawZ0Gc/ALhOYtfID4pOisbKw4757nmT8oJcoLM7lp6XvsC/qHzSlxbQO7sErE7/H0fZKf5+9+lPmrpnGHx8cYPX239h19G+KtYUEeUfw5OiPCAs0rb//veN31u2eR0LaWSQSKcG+bXh42Ou0Du5hUHbjvoWs2PYLl9LPU1FRjp21My2bdeC5cZ9jY+lwg59y43Bx8AKgqCS/iVsi3O7KK7XsSf6R6KxVFJSlIJOYYW3mTpBdH/r5vFVdLjprNSeyVpBWHENxeTYquTV+1l3p4/069iofgzqn7vegldMYWjndz9bEaaSVxKCW29LB9TG6ezyDRpfHxosfEZu7mbLKYvysuzKs2RdYm7lW17E96Wt2XJrO0xFbOZw2l1M56ynVFeFmGUp/73fwtm5f77Hp9XoOp8/jWMYisjRxSJDibhlBL8+X8LPpalD2eOZSDqbOJkd7gQp9OZYKJ7ys2jHI9wPMFU1zHb+WrdIDAI2uoMb1FXodukotSpnlrWzWf4oIBlyH82+vI3NpFC4T2mIR6kplWQXaC9nk771gUC5t7mEU9ua4TGyPwsEcTWwm6YuOUbDvIhHbnkZhb2FQvvhkKrmbz+L8YFucRoWTvSaGxE+3IDWTk7ksCqWXLV4v90J7MYfUPw4S/8JKWix+2Kh9cc+vQGomx+PZ7ugKtKTNPcypsXNpuexRrNp41nls8c+vIGtVNA5DWuA0tjX6Uh1ZK6M5NW4ezWeNxb5/MACZy6KIf3Eltn2CcL6/FRK5jNLkfPK2xaHLKak3GKDL06CvrDTl40ZmoUSqNO1PtEJTRqWmnEpNOcUn00j8bAsSpRybbv7VZSwj3JHZqEiZuRelhy1WbT2p1OjIXB5FUeQl/KcNNWlfwt1t1oZX2XniL/q2fhg/1zDKdWWk5p7j5MXdBuU2Hv0DK3MH+rd9DGtzBy5lnWXr8fmcTNjD9Cf2Ym1u+AX6YtoJvorbQN/WD9MjbCz7T69iwfYPUMjN2HliMU623tzf/XVSc8/zz+FfmfH307w3YaVR+374+38oZGaM7PIixdp8Nh79gw8XjOSDh9YQ6NGuzmP74e+n2BOznE7B99I7fDy6ilJ2n1zGRwvv45XR82gfVBW13xm9mBlrnqZNQH96hY9DJpWTVZBMZPxmCjTZ9QYDijR5VOorTPm4UZtZopArTSr7x6Y3cLByZ2jHp9l9cqlJ2whCXb5bMIUN+xYyrMcjBHpHUKYrJTn9HJFndhqUW719FjaWDgzvNQlbK0cuppxh3e55RJ7ZzewPDmJrZdjf4xNPMDXqH4b2eJT+nR5g+5GV/Lp8Kgq5GZv2/4WrgzeP3PsmyRnnWb71Zz79/UmmT/nbqH2fznoChcKM8YNfpqgkn9U7ZvHy18P47rX1tPCv+8bhk1mPs+3QMnq2HcHAbhMoLy9jy8ElTJk+nI+eXkDXVoMB2LR/EZ/98RSdwgcwsMsE5DIF6TlJHIzeTH5RTr3BgMLiXCpMvO6bqywxU5jW37WlJWjLNJSWlRCXeIJfl7+PQq6kTUhPk7YX7l7rzr9NVOZS2rpMwNUilIrKMrK1F7iQv9eg3OG0uZgr7GnvMhFzhQOZmliOpS/iYsE+no7YhsU1N8ypxSc5m7uZts4PEu40ipjsNWxJ/BS51IyozGXYKr3o5fUyOdqLHEz9g5XxL/Bwi8VG7VsR9zxyqRndPZ5FqyvgcNpc5p4ay6Mtl+Fp1abOY1sR/zzRWato4TCE1k5j0elLic5aybxT4xjbfBbB9lUjYKMyl7Ey/kWCbPvQyvl+ZBI5+aXJxOVto0SXU28wQKPLo1JvWr9WyiyQS03r12UVGsorq/5LKz7JlsTPkEuU+Nt0Myp7qTCSTw4GUKEvRyWzIcR+EH193sRS4WjSvoQqIhhwHXI2nMFlfBv8P6v7pjFk/oPIzM0Mltn1D+bU/XPIWHgMj2cNn7CVnMkg9O/J1TfszuPacKzjN1z8YCOuj3bA76PBBuVTf9uPJj4LdYDhH7tUKafliseQKqrmyjiOCCOqz0wSPthA6OrJtbY3+5/TZK04gf8Xw3CZcOVmwW1yJ6KHzeLie/9g1685EomEnA2nUQc6ETJvgkEd3q/3qfMzuezEgJ8pvZRnUtlm00fgPLa1SWVTZu7l0vQd1T+rmzsTPGc8Ki+76mVyGzXBs8dz7pXVxP3vyo2CzFJJ0K9ja5huIAjGDp1dR5/WE3l80Fd1lnvrgSWozAwDf+0CB/HBguFsPf4nI7u8aLAuMeMUnzyysfqG/Z5WD/L0DxHM3fwOA9s9zmMDDIe8rzv0E8nZcXg4BBosV8iVfPjQOuSyqlwZ3VqO5uVfuzJ3yzt8/PCGWtt78Mxadp9cypODv6Fv6yvBxsEdnuKt2f2ZvelN2gUORCKRcOjsOjwcg3hz7F8GdYzr9Xadn8llr/3ek8z8JJPKPj10Br0jxtdb7mjcRg6eWcMHD62tPnZBuFG7j61haPdHeOnBb+os9/mLy1ErDft711aDeemroazbPZcJg182WHc+OYYf39xSfcM+uPtExr7ekplL3mJk7yd4fvyXBuWXbv6RxLQ4vF0N+7uZQsn3r21ALq/6m+/bcQyPTu3EzMVvMePNzXUe15aDS3hl4vcM7fFI9fJRff/H05/24Ye/XqdLxCAkEgm7j63Fx6050543DLBNHvlenZ9JdbkPu5OenWhS2dcf/YlBXSfUXxBYtOFb5q65cl70dQ/hs+cW4+boU8dWggBncjbQxmU8Q/0/q7PcgyHzMZMZPuQKtuvPnFP3cyxjId09njVYl1Fyhsmhf1ffsLdxHsc3xzqy8eIHdHB9lMF+HxmU35/6G1maeBzVAQbL5VIlj7VcgUxa1a/DHEcwM6oPGxI+YHLo6lrbezr7H05krWCY/xe0c7nSjzq5TWZW9DD+ufgeze36IZFIOJ2zASd1IBNC5hnU0cf79To/k8t+PjGg1gR+1xrRbDqtnceaVHZvykx2XJpe/bOzujnjg+dgp/IyKOekDqKN8zic1IHoKss4n7+H45mLuViwjyfC1t02IxvuBCIYcB3kVkqKIpPRJuQYDfe/2uVAgF6vp6KoFH15BeYhzsisVRQdTzYqb9XW0+DJvdRMjmUrD3I3ncX1sY6GZTv6kPrbfrQXso2CAW6TO1cHAgDUzRyxHxhM9poYyrOLUTgYflG5LGtFFDIbFfYDginPKTZYZ9cviEtf70B7Pht1M0dkVkrK0gooOHAR606+tX4GtQmYMYpKjWnD8c2bO5tcr9PoCKzae1ORr6XgUAIFBxKoyNcalZNZq1A3c8Smmz823f2pKCwlbe4h4p9djmz2OGx7NDN5n8LdyVxpTXzyUdJzLxoN97/a5UCAXq9HU1aIrqIcb+cWVdunHDMqH+TZ3uDJvUJmRoB7G47E/cOg9k8YlA3x6sy6Qz+RlnPeKBgwpMNTBjfD7g4BdGg+hP2nV5FfnIWNRc0R890nl2ChsqF90GAKSrIN1rULHMCS3Z+TmnMOd4cAzJVW5BSmcipxHy28u9T6GdTm+eG/UKYz7p818XIMrreMtqyYWRtepWfYAw1qjyDUxsLchtMXjpCSecFouP/VLgcC9Ho9JdpCynXl+Hm0xEJtw5kLR43Kt/TvYPDkXiE3I8SvLXuPr+e+Pk8ZlA0P7MLSzT9yKT3eKBgwuu/T1YEAAC/XQLq3Hsb2IyvIK8zC1qrm/r75wGIszW3p2moIeYWG/b1LxEDm/P0Zl9Lj8XINxEJtTVZeKlGxe4kI6lpjfXV5Z/IsSss19RcE/NxND8oP6DKOsMDOFJXkcSJ2H1Fx+yjSiCkCQv2UciuSiyLJ0SYYDfe/2uVAgF6vp7SiiAp9Oc7mIahk1iQXHTcq72nV1uDJvVxqhodlK87mbqKj62MGZX2sOrI/9TeytReMggGd3SZXBwIAHNXNCLYfSEz2GorLs7FQ1DwaJyprBSqZDcH2AyguzzFYF2TXjx2XviZbex5HdTOUMisKytK4WHAAX+v6pxVda1TADMorTevXzubNTa43wmk03lbt0Vbkk1BwiISCA2grjPv1gyF/Gvwc7jQST6vWrDn/OruSf2Cg71SjbYSaiWDAdfD9YBDxz68gsst3qJo5Yt3RG7u+zbHrF4REKq0uVxSVTNKX2yg4kGB046ur4QZV6W1ntExuowZAdc06uU1VJs3yXOMOeG1wAEAdVDVvVpuQW2swQBOXRUW+liMRX9a4HqA8qxh1M0c8nutBwcEEYkbNRuFsiVV7b2x7NMNxRBgyy/qHAJmSv6AhVD721QEah2EtyVhynNinlhBiM7H6Br80OY+YEb/j+kgHvN/sW72tw72hRPX5kfOv/U3rfS8Y/C4F4VqP9vuUH/5+imdntsHdIZAQr060DRhA26CBSCVX/nbOpUTy185POZ20n9LyEoM6irXGFzZnW1+jZRZq23/XGX5Zsfx3eaEmh2t5OAQZLfNybM5+ICPvYq3BgEvZsRRr85n8be0X7fziTNwdAriv68ucTtzP1D+HYmvhQrBXR8L9etGt5SjUSqtat7/MlPwF1+OvnZ+iKSvioT4f1F9YEK7Ds2On8envTzD+zQi8XAMJD+xC5/CBdIkYhPSqa8WZi8f4Y9XHnIjdh7bMsL/XdIPq5uRrtMzS3LbGdZeXFxQZ93dvN+P+7uNe1YdTMi/UGgxISD1LUUkeI1+uPQCeW5CJl2sgDw6Zwom4vbzwxSDsbVwIC+hMuxa96dNxNOaq+vu7KfkLGsLdya86QNOr3Ug27F3A+z8/zFcv29KuRe+bsk/hv2GQ7wesiH+e7yK74Khqhrd1R5rb9SXIrp/BdTy5KIptSV+SUHDA6MZXqzPu13ZK4++4annVqy7tVIbrVP8u15TnGm1zbXAAqp6EA+RqE2oNBmRp4tBW5PPlkYga1wMUl2fhqG5GD4/nSCg4yOyYUVgqnPG2ak8z2x6EOY4waf69KfkLGsJe5VMdoGnpMIzjGUtYEvsUE0NsaGbbo85t27k8yLbEL4jP2w6IYICpRDDgOtgPCKb1gRfJ2xZHwYGL5O8+T8bCY1h39iVk0USkChmll/KIGT0Hua0ar1d6o/JzQKquiu7FPb0M9HqjeiWy2m8+a11XQz0NptejcLYk4Lv7ai1y+Sm92t+BVtufJX/PefL3nKfgQALnX19D0vQdhP09GaWnbZ27Ks8uRl9hYs4AKxUydcOG+zoOD+XcK6vJXBJZHQzIWHSMiqJS7Ie2MNyPWoHdPYGkzT5EaXK+wdQCQbhW++aD+fHZKCLjN3MqcS8nLuxk6/E/aeHdlXfHr0AuU5CZn8TU+fdiqbbl/h6v42bXDDOFGolEwrcrJ6OvYZ6dVFr7q3BktazTN/J5wNbCheeG/1RrES+nqqd2bvbN+ObJ/URf3EX0xZ2cStjHr/+8zNLdX/DJIxtxsvGqtQ6A/OIsk3MGmCutUSrUta5PzTnHP4d/ZXjn5ykpLaSktBCAgpIsAPKKMkjNOY+jjScKmVmt9QhCTbq1HsJf06I5EL2JqNi9HD29g3W75xIR1I2vX16NXK4gLTuRF78cgrWFHY8MfwtP52aozNQgkfDhr49SWcN8+Qb190Y7qqpzh72NC29N+rXWMn4eVf3d0yWAOR8e5tjpHRw7vZPjsXv5+s8XmPP3Z/z41hZcHeoO8ucVZlFRaVp/t1RbozSrvb/X5Z4Oo/li7rNs2DtfBAOEOgXbD+DF1geIy9vGxYIDnM/fzbGMhfhad2ZiyCJkUgV5pZeYEzMatdyW3l6v4KDyQyGt+ttcFvc0+hp6pFRSe7+ubV1N9TSUHj2WCmfuC/iu1jKXn9I7qP15ttV2zufv4Xz+HhIKDrDm/OvsSJrO5LC/sVXWnWusuDzb5Ou4SmaFQtawfh3qOJzV514hMnNJvcEAABulJ/kmTl8QqohgwHVS2JnjNCoCp1ER6PV6Ej/dTMrMveRtjcV+YAg5G05TWVJGwNzx2HS5MqSwQlOOLt+04TQNpYnPwqKlq+Gy2EwAVN62tW6n8nMgb3scVu29kKnr/7IsVcqx6xOEXZ9/o5RbYzkzcQEpv+7H78NBdW4bPfjXm5Iz4Fr68gqo1BuMxCjL+Ped4xXGJ169rrLWdYJwLSu1HT3C7qdH2P3o9XoWbP+A1fu/51j8Jjo0H8Khs+soLS/mzbGLaOlzJelNabmGIm3eTW1bcnYsvi6hBsuSss4CxiMMruZq34zj57bQ3LMDSkX9bwVRyJW0CehHm4CqN6kci9/MZ4vHsvbgTB7tX/c8zDdn92m0nAE5halU6itYue8bVu4zntf924YpAHz9+B68nVsYrReE+lhb2tO/8wP07/wAer2eX5dPZdGGb9kfvZHurYeyJ3It2tJiPntuCa2Dr+QEKi3TUFScd1PblpgaS4BXmMGyhJSq/u7m6Fvrdp4uzTh4cjOhzTqiUtbf380USjqFD6BT+AAADpzYyBvfj2Hp5h957oHP69z2yY973ZScAdfSVZSh11dSeJM/c+G/wVxhR4TTKCKcRqHX69mc+Cl7U2YSm7eVEPuBnM7ZQFllCeMD5uJnc2X6WXmFBk0NowIaU5YmHleLlgbLMjWxANiqag++Oaj8iMvbjpdVe8xMuPmWS5UE2fUhyK4q71ds7lYWnJnI/pRfGeT3YZ3b/ho9+KbkDLhWhb4cPZU1jsS4VqW+ktzSBKwUrvWWFa4QwQAT6SsqqSgqrR6+DyCRSLAIrXrVT3nuv8MCLz/Jv+aeMuWnPVB5c280U2ftx35wSHXeAM25LHI2nMGyrRcKx9qH/DiNjiB381mSpm3F9wPjm/myzCLMnKq2L88pNnobgkVY1Wegyy0x2vZajZ0z4Oq2XS1tziHQ67Fs7XGlvn+nTGQsPY5lqyvLdQVacjafRW5njtLL1qS2CXenisoKtGVFWKhsqpdJJBL8XKq+jF8etn/5CcC1T+7/3v99jaMCGtO6Qz/Tsfmw6rwBKdnxHDq7jiCP9nW+bq9n2FiOxm1g0Y6PeaTfp0br84oysLWs6pMFJdlGb0Pwcw0HoFBjPOTxWo2ZM8DTMZiX75tttDwmYS8bj85ieOfnaebWGkebup9yCMK1KiorKNEWYvXvMH2o6u8B3lV/65eH7V95ym/Y3xdt+NbkbNsNtWzLTHq0ubc6b0BSWhy7I9fQslkH7Kxr7+/9O49jX9Q/zFr5Ic8+MM1ofU5+BvY2Vf09rzDb6G0IgT6tgJqnLlyrsXMGXN22q63c9ht6vZ4Q/7rfmiLc3Sr1FZRWFFUP34eqfu1mURVEL/l32L6Umvv1npSf0HNz+/X+1FmE2A+uzhuQpTnHmZwNeFm2rTNTfoTTaM7mbmZr0jQG+RpPmysqy8TSrOq8UFyeY/Q2BDeLqu8yJbr6r+ONnTPg6rZd7VDaHPTo8bC88nCwpDwXc4XxKN69KT+h0eXR1vlBk9olVBHBABNVFJVypM1X2PdrjkWoGwpHC7SJuaTPO4LcVl39lNyudyCJKgXxL6zA9dEOyCyU5O+9QPGJFOR29Uffb0RlqY6Y+/7A8d5QdIVa0uYcBqkE3/cG1Lmdw9CWOI1tTeqsAxSdSMHunkDk9uaUpRZQePQS2os5tNn/IgCnx/2JzFqFdUdvzNxtqCjQkrHkOEgkON4XXm8bGztnQNz/loJEglUHb5QeVe3J33uBvG1xqAOdcJvcubqs0/1Vx5g+5xDl6YXYdPOnoqiU9EXHKE8rxO/TIXVO2RAEbVkRj38XQrvAgfi5hmNj7khGXgKbjs3GUm1Hm4CqV/a0DuiL2TY1M/7+HwPbPY7azJLohF2cTz2OlfrmZrgt15Xy3p9D6NpiJCXaAjYc/R2pRMrEvh/VuV3nkOH0Dh/PukM/cy71OG2a9cPK3J7sghRikw+TlnuBH5+JBODjhaMwV9kQ4tUJR2sPikvz2XFiERIkdA8dXW8bGzNngI2FI51Dhhst15ZVJUMN8mhPh+ZDGm1/wt2jRFvIqClBdI0YTIB3OHbWTqRmXWT1jt+xtrCrfkreMbQfSjM1n/7+JCPveQJzlSXHzuzi7MVIrC1vbn8vKy/l+S8G0rv9fRRrCli1/TckEilP3/9Jndv1ajeCQV0fZNmWmZxNiKRTWH9sLB3IzE0m5twhkjMusGjaCQBe/WYEluY2hAd2xsnOkyJNPhv2LkAikdC30/31trGxcwZ8+OujSCQSwgI64WzvRZEmn8jTOzl4cjM+bs0Z3ffpRt2f8N9SWlHEV0fa0Ny+H24WoVgoHMnVJnIkfR5quW31U/JAu94oElWsiH+BDq6PopRZcCF/LynFJzCX39zppLrKUv6IuY9Qx3vR6go5nDYHCVIG+Nb9Bo+WDkNp7TSWA6mzSCk6QaDdPZjL7SkoS+VS4VFytBd5sc1+AP48PQ6VzBpv647YmLmjrSjgeMYSJEgId6x92vBljZ0zYGnc/5AgwduqAzZKD7QVBVzI30tc3jac1IF0drvyVrSorGVEZiwmwLYXtkpPdJVlXCjYS2zuFpzUQXTzEOeA6yGCASaSqhW4Te5E/p4L5O8+T0VJGWbOVtj1b47Hc90xc65KoqPytSd43gQSP9/KpW93ITWTYdPNn5bLHyVmlPHTq8YU8N19pM87zKUfdlNRVIpFqBs+b/fDql3d83cBAqaPwKaLH+kLjpA8Yw+V5RWYOVliEeaG9xtXku25TGxH9poY0ucfRZenQW6nxiLUDb+PBmPTtfZMyzeL05hWZK2OJmPRMXQ5JUgUMlR+9nhO6YX7E10MkhrKrVWErX+S5B93k7c1jrwd8SCVYNHSFZ+3+uEwRAwhFupmplAzpMNTRF+omiuvLSvGztKFdoEDGdn1ZewsXQBwtfPjzbF/sWjHxyzb8xUKuRlhvj344KG1TP2z7leT3qhn7/2JTUf/YMXeb9CUFuLnGs6D97xPc88O9W779LAZtPTtzpbIuazc9w26inJsLZ3xc41gfO93q8v1b/so+06vYnPkXIo0uVip7fFzDeOx/p8T6tu9jj0Iwp1DZWbO6L5Pc+z0Do6e3o6mtBh7G1e6RgxmwuApONhU9XcPZ3+mPb+UWSs/ZN7aLzCTm9EmpBffvbaeF74YXM9ebsxbk35h9Y5ZLFj/NcWaQoJ8Inhy1Ie0bNax3m1ff3QmrYO7s2bXHBasn065rgx7GxeCvCN4/L4rybeG95rE9sMr+XvnbAqLc7G2tCfQK5wXxn9J6+D65/A2tgFdxrPt0FLW7Z5HflE2crkZns7NeOTeN7m//7MmJTUU7l4KqZpObpO5kL+H8/m7KasowcrMmeZ2/enu8RxWZlWjTuxVvkwInsfWxM/ZdelbZFIz/G268WjL5cyOGXVT23hfwHccTp/H7ks/UFpRhJtFKP183sbLqv5RLyMCpuNn04Uj6QvYkzyDispyLM2ccLMIo6/3G9Xl2rlMJCZ7DUfT56PR5aGW2+FmEcpgv4/ws7n+t4bcqFZOY4jOWs2xjEWU6HKQSRTYq/zo5TmFLu5PGCQ19LBoxQXlXk5mra5+a4KdypseHi/QzeNpkxIgCldI9I2agappHDt2jLZt2xK24Uksw9ybujm3XNLX27k0fQetD7wokt/dAYqiU4ge+AtHjx6lTZs29W8g1OvyOeDzx7bj71Z7Ft3/siW7prF09xf8+MxxnG1vzls7hNqdT43i9T96i359C1zu77++u4ugf4er321mr/6UuWumsWhaNG6OtecCEW6O2ITjPPFRD9HfG9nlvv1k2AbcLcPq3+A/ZnvS1+y4NJ0XWx/ATlX/gzyh6aQURfNL9MD/xDlAjIkWBEEQBEEQBEEQhLuMCAYIgiAIgiAIgiAIwl1GBAMEQRAEQRAEQRAE4S4jEgj+B3hN6Y3XlN5N3QxBEJrQ/T3e4P4eb9RfUBCEO96jw9/i0eFvNXUzBEFoRL29ptDba0pTN0O4y4iRAYIgCIIgCIIgCIJwlxHBAEEQBEEQBEEQBEG4y4hpAjcoZvRsSpPyaHPwpaZuSqPJ33eBU2PmVP/s/WZfPJ4V7w6vzcHAT6gsKQPAurMvLZc92sQtEm61qX8OIzM/kZnPRjV1UxpNTMIe3p9/b/XP43u/x8guLzZdg26xcymRvDG7T/XPY7q/JqZhCAC88MVg0rITWfz5yaZuSqOJPLObl74aUv3z4/e9z4TBLzddg26xMxeP8dTHvap/fnjYG2Iaxl1mdsxo8kqTeKnNwaZuSqO5kL+POafGVP/c1/tNuns824Qtur39ePweMjRnAbBVev6n/hbqIoIBQq2cJ7TFuqMPFqFuRutyt8eR/O1OimPSkCjl2HT2xfutfqj9HRq8v9LkPBKnbaU4OpWy9EL0ZRWYedhg1zsA96e7YeZiZVBer6sgfcFRMhYdQ5uQC4DK2w6nMRG4TGyP1Kzhf96VpTqSZ+wmc1kUZWkFmLla4zQ6Ao/nuhvV2+yr4eh1FVx8f0OD9ycIt6u+rR8mxKszfq7G73yOPLeF5Xu+4mL6SeQyM1r6dOPBe6biZt/shva5cu83nE+L4kLaCdLzLuJk49UogZboi7v45/CvXEw/SUFJFjKpHBdbX3qGj6Vfm0cxk6uqyzrb+fLcvT9TqMlmzua3b3jfgnAnGNbjUcICOxPoHWG07uDJzfy55gvik6JRyM1o1bw7T47+AE+XgBva54L1XxObEEVc4nFSMi/i4uDdKIGWvcfXs/vYGmLOHyIzJxkLtTU+7sGMHfAcHUP7GZR1d/TlrUm/kl+UzY+L37zhfQvC7aSt8wR8rDviZhFqtC4udzs7k78lrTgGuUSJr01n+nm/hYPa/4b2Wamv5GDaHxxJ/5M8bRJquR0tHIZwj9erqORW9VdQi/P5eziY+gdpJacoLs9CJlFgp/Imwmk07VweQiFVGZSfut+jxnqszVyZ0vaowbK+Pm+i1RWwK/l7dJXaBrfxTiOCAUKtrNp64TTK+AtBzsYznJ38F+bNnfF5px8VJeWk/n6Ak8NnEbb+CVRedg3aX3lmMaUp+dj1b47S3RqJXEbJ2QzSFx4ja20MEZv+h8LBorr8uSmryVwWhf3gFjiPawN6PblbYrk4dQOFR5II+vn+Bh973LPLyFl/Gqf7W2HV3pviqBQufbOTkjMZNP9trEFZx+FVJ9ekL7Y1eH+CcLsK8mhPjzDjvnT47Hq+XD4Rb6cQHrznfUrLS1h36BfenjuQaY9uxdnWu8H7XLjjIyxUtvi7RlBcmn8DrTeUnBVLpb6S3hHjsbN0oVxXxumkfczZ/DaR57bw9gPLkEgkAFip7egRdj8ZeYkiGCDcNVo060D/zg8YLd8TuY73Zk7Az6MFT47+EG1pCcu3/sQzn/Xj53d24Obo0+B9/rbiA6zMbQn0aUVRSeP196/mPY+F2opurYbi6RJAYXEu/+ydz+vfjmLSiHd5aOir1WWtLe3p3/kBUrMSRDBA+M/xsmpLhNMoo+Vncjby19nJOJs3p5/PO5RXlHAg9XdmnRzOE2HrsVN5NXifmxI+Yn/qrzS3608XtyfJ1p7nQOrvJBdF8ljoSmSSht2CZmri0VNJa6exWJo5U1FZRkLhATZcfJ+43O08FLKg+jp+mY9VR9q6TDBYZiY1N6q7uV1VkPBYxiLySpMa1L47kQgGCNdFr6vgwtvrMHOzJnTVJGSWSgDs+wcT1XcmidO2EvTj6AbVbdnKg9Dljxktt+7gQ+xTS8hcehz3p7oCUJ5VRObyE9gNDDa4OXd9pCMxo2eTvfYUujwNclv1dbcjd3scOetP4/Z4Z3zfH1i1cHxb5I4WJH+7k7yd8dj2vLEnIYJwJ6uo1PH7xtdwsHLno4nrUSurovztggYx5dduLNzxES+O+K3B9c94+hgudr4AvPJbD0oaKSAwsN1kBrabbLBsUPvHmbXhVTYe/Z3zaVE0c2vVKPsShP8KXYWO7xa+gpOdBz+8sRFzVVV/79p6CI9N7cSsFR/w7hN/NLj+hZ9F4e7kB8CkD7o2WkDg3cd/p01IT4NlI+95gsc/7MbcNdMY0XsyVhYNe3ghCHe6Cr2OdRfextrMjUmhq1DKLAEItu/PzKi+bE2cxuigHxtUd0ZJLAdSZxFiP4gHms+qXu6oDmD1uSlEZvxFO5cHG1R3R9dH6Oj6iOEyt0dZe/4tDqfPJbU4GnfLcIP1VSMHjIMhQpW7IoFg7rY49ntMJW3OoRrXH+81g2Ndv6v+uTDyEvEvriSy63ccbPYxh4I/JWbMHPL3nDdpf/s9phL/4kqj5RmLI9nvMZX8fRcMlusKtCR8soljXb/jgN+HHA77nNinl6JNyLmOo7w1CvYnUJZagMu4NtWBAAB1gCO29wSSs+E0Ff/On28sZp42QNXndJmusBT0eqOpAwAKFyuQSpAoGxbrylpxAgC3xzsbLHeb1AmkEjKXn2hQvULTiozfzJhP7Nl45Pca17/4Syeendm2+ue45KPMWPMMz81sx4TPPZj4lQ/vzx9O9MVdJu1vzCf2zFjzjNHy7VELGfOJPTEJewyWF2sLmL/tfZ6d2ZZx01x57JtAvl05mfTci6Yf5C1yKmEv2YUp9Gn1UHUgAMDDIZA2Af04dHYd2rLiBtd/ORBwqzjZVD39KNE23lNJoWkdjN5Er8nWrNpec1Dq4XfbM/7NKyPfTp8/wmd/PMWEt1ox4GkXhjznyUtfDeXY6Z0m7a/XZGs+++Mpo+X/7F1Ar8nWRJ7ZbbC8qCSfX5a9x/g3I+j3lCPDX/Tjw18fJSXzglEdTS0qdg+ZuckM6T6xOhAA4O0aSMew/uyOXIumtOH9/XIgoLFdGwgAUCnN6Rw+EF1FOYlpcTdlv8LNE5e7jan7PTiUNqfG9TOO9+K7Y12rf75UGMnK+Bf5LrIrHx9sxqeHgpkTM4bz+Xtq3P5aU/d7sDL+RaPlkRmLmbrfgwv5+wyWa3UFbEr4hO+OdeXDA358fjiMpbFPk6NNMPkYb5WEgv0UlKXSxmVcdSAAqm7YA23v4XTOBsoqShpUd3TWKvRU0tntcYPlEU6jMZfbcSJzxQ21vSa2Sk8AtBU1X8d1lWWUVjT8PPVfdleMDLDt2QyFsyWZy6NwfaSDwbqiEylo4jLxnNKrelnOhtNozmfjMCIMpbs15RlFpC86xqlx82ix5BFsOvs2Wtt0BVpODp9FaXI+zg+0xjzImbKMQtLnHiZ66G+E//MkSk/bOuuo0JRRqSk3aX8SuQy5tar+grUoikoGwLKt8dAhq3Ze5G48Q8mZDKzaeDZ4H5WlOiqKS6ksrUATl0nip5sBsLsnqLqMytsOla89GYsjsQh1w6abP1Tqyd1ylpy1MXg82w2ZWtGg/RdFpWDmao3Sw8ZgucLeHHUzR4r//QyEO0u4/z3YWriw8+RiBrSbZLDuXOpxkrNiub/769XLDsWuIzU7nq4t78PR2oO8ogy2Hv+Tjxbex9QJq2np0/XaXTRYsbaAd+YOIKsgmd4R4/FyDCavKJ2Nx/7gzTn9+PyxbdU3rLUpLS+htFxj0v5kUgUWKusGtzc+NRKAIM/2Ruuae3bgcOx6kjJPE+jRrsH7uJk0ZUWU60rRlBURe+kQq/d/j7W5I83cWzd104RG0q5lH+xtXNi0/y9G9Db8Qnr2YiQJqWd55N4rw8F3R67lUno8fTqMxtnek5z8dNbtnscr04cz/ZW1tGrerdHaVlSSz7PT+pGefYnB3R7E1z2E7Pw0Vm+fxf9O3cMv7+7E1aHuaTba0hK0Zab1d7lMjqW5Tf0Fa3HmwjGgagrBtUKbdWTv8XVcSD5FC3/j88HtKDM3BQB7a+cmbolwvZrZ9sRS4UxU5nI6XPN0OKXoBJmaOHp5TqledjpnA9ma84Q5jMBa6U5ReQbH0hcx79Q4HmmxBF+bzjQWra6AWSeHk1+aTGvnB3A2D6KwLIPD6XP5LXooT4b/U33DWpuyCg3llSZexyVyVPKGX8eTi6ry8HhZtjVa52XVjjO5G8koOYOnVZvrrjulKAoJUjwsWxksl0nkeFi25mLBfvR6vdFw/utRWlGMrrKUsooikgqPsDdlJhZyB9wtWhmVjcleS1TmcvRUYqlwIsxxBL29XkUpszCu+C50VwQDJDIpjiPCSP11P5rz2QZJ7jKXRYFEYjA33vOFnsjeNDOow2Vie473mkHyjN2NGgxI+mobpYl5hK6ZjEUL1+rlzve3JqrPTJK+2k7AtyPrrCNl5l4uTd9h0v5uNNt9WVoBAGZuxiegy8sul2morFXRnHt5VfXPSi9bAmaMwqrdlZshiUxK89njiH9hJedf/fvKcoUM3w8GGQV9rkdZWgHmQU41rjNzs6bo2KUG1y00HZlURrfQUaw9OJPUnHMGSe52RS9GgoQeYVemnIzqOoUJvd8zqKNfm0d56dfOrNz3TaMGAxbv+pSMvEQ+fWQTPi4tq5f3ihjPlF+7snjXNJ4dVvdwvdX7v2fp7i9M2l8L76588NCaBrc3pzAVAHsr4+Si9lbuBmVuR79vfJ2dJxZV/xzo3pbHB32NubLhX6yE24tMKqNvhzEs2TyDS+nxBknuNh34C4lEYjA3/qGhr/KE8n2DOu7tNYmH323PgvVfN2owYPbqT0jNSmDmm1tp5nUlodfArhN4bGpnZq/+lDcf+7nOOhZt+Ja5a6aZtL+IoG5899r6Brc3K6/q5tnJ1t1onZN91bKs3Nu3v18tPimaXZF/Ex7YBTcn36ZujnCdpBIZYY4j2J/6K9ma8wZJ7qIylyFBYjAcvKfnC5jJDHNAtHeZyIzjvdidPKNRgwHbkr4irzSRyaFrcLVoUb28tfP9zIzqw/akrxgZ8G2ddexNmcmOS9NN2p+vdWcebbmswe0tKEsDwNrM+Dp+ednlMg2p21xhj1yqNFpnbeZGeaUGjS4Pc0XDp+msv/A2xzOXVv/sadmaof7TjJITeli2pqXDUBxUfmh1+ZzJ3cz+1N9ILDjMo6HLjRIO3o3uimAAgNPoVqT+up/M5VF4v3oPUDX/PXt1NFbtvVD52FeXlZlfCQRUlJRRqdWBpGpOe2Ej3gjq9XqyVkRj3cUXM1crynOuDF+RmiuwbONJ3q5zJhxbBFbtTUvW1ZA59Fer+HcEgtRMZrRO+u+wfFNHKdTGtlcAIYsmUlFcRvHxZHI2n6Ui3zirp8xCicrPHnWAI3b9mqPXVZK59DgX3l2PzMIMpzGtGrT/Sk05klreRCBVyqs/A+HO0zPsAdYenMnO6MU80LPqtVEVlTr2nlpBc6+OBsPTVWZXIsbasmLKdaVIJBIC3NoQm3y40dqk1+vZc3IZLX26YmflSkFJdvU6pcKcQI92nDi/3aRjC/bqZNI+LVS2DW0uUDUKAUAhM77Qm8mV/5Yx7elGUxje6Tl6hI4hvziLqPPbSM6OpaT0xoKYwu2nf5dxLNk8g037/+KxEe8AVfPftx1cRmhAJ4Ph6Wrllf6uKS2mrFwLSAjxa0vMuZqnGDaEXq9n88EltArqhoOtG3mFV/q7ysyCFv7tOBJTfzLaAV3GERZo2o2MlbltQ5sLQOm/IxAUCjOjdZffwKEta9hw4lsprzCL92ZOQKlQ8+rDPzR1c4QGauU0mv2pvxKVuZx7vKuSQFbodURnr8bLqj32qivJLM1kV5LElVWU/JshXoKHZSsuFR5rtDbp9Xqis1bga90FKzNXisuvTPNVSM3xtGzDubz6pxhGOI3G28q0ETZquW1DmwtAeUVVv5ZJjfv15Zt4U0cpGNVdqUEuMa7XuO6GBwO6uj9NuON9FJdnE5+/gyzNObQ64+v4E2FrDX5u5Xw/WxI/Y3fyDI6mL6STm3GusrvNXRMMsGjpinmIC1krTuD1Sm8kEgl5O89RnlWM12v3GJQtyywicdoWcjedRZdzzQXuBoa0XEuXXYwut4S8bXEcCavliZ60/v2pfOwNghk30+Wh95VlFUbrKkt1AEgbODz/MjMXq+pcAA6DQrDpFcCp0bORmMlwGV81nKmiqJSTw2dh1dGHwB+uRIEdR4YRM+J3LryzHrsBwQ2aEiFVK9CX6WpcV1mqa/D0A6Hp+bqE4uPckt0nlzK2x5tIJBKizm8nvzizOjhwWV5RBgt3fMSRuA0UXnWDDiCh8c4DBSVZFGpyiDy3hUnfBNZYRiKpP72Li53vLZtrr1RUfcEqryg1WlemK/23zI0FHm8mL6dgvJyCAegeOpqluz7no4Wj+OrxXXg6Nm/i1gmNJcArjGaeoWw+sIRHh7+NRCLhSMxWcgszmTTyXYOyOfkZzFr5AXuPrye/6Jr+3ojX/bzCLAqKcjh4cjMjXqp5rrzUhP7u7uR30+baX0tpVtWXy8uN8wGV6aoC9Soz48zct5OCohymTB9OVl4a055fipdrzeda4fbnatESF/MQTmStoLfXK0gkEs7l7aS4PIt7vF4zKFtUlsmWxGmczd1Eic4wD1djXseLddmU6HKJy9vGF0eMX8Nbtb/6+7W9yscgmHEzKWRV/bqi0rhf6yqrruMKacOu4wqpmmJdzfPzb7Tuy5zNg3A2r5o+HO40ku1J0/nz9Hj+F74ZJ/O6+3d3j+fZk/wj8XnbRTCAuygYAFVP0BM+2kThoUSsO/qQuTwKiUqOw7Arw/T0lZWcHjcPzfls3B7vhGWoOzJrJUgkJM/YTcHehif30VdUGv6sr/q/Ta8A3J/s0uB6K4pLqSg2LWmfRCFDYdfwi7aZ679TAVILMA80HEpfllpgUKax2HT2xczNmszFkdXBgOx1pyhLLcBhSAuDshKJBPtBIRQeSaL4ZCo2Xa7/y5KZqzVlqYU1ritLLcDMteHvRxWaXs+wsczb+h5nkg4Q4t2ZXdGLUchVdA65Mh2nUl/Jx4tGkZIdz5CO/8PfNRxzpTUSiZSV+77lpIlJBGtSWWkYaNL/eyKI8L+Hezs92+B6NWVFJiftk8vMsFI3PCJ/eXpATmGq0c1zTmGKQZk7Qfew+1my+3N2RS9lfO93mro5QiPq33kcPy19m+i4/YQHdWHTgb8wU6jo1e6q/l5ZyavfjCAxLY4x/Z4hyCcCC3VVf1+4fjrHzpiWRLAmFRU19/f2LfswdsDzDa63RFtkctI+hUyBtWXDHxg4/js9IDMvBR93w/6emVPV3x3tbt/+fjkQkJgayyfPLqoxsaBwZ4lwGs2mhI9ILDyEj3VHojKXI5eoCHUYVl2mUl/JvNPjyNacp5Pb47hbhqKUWSNBwu7kGVwo2Nvg/Vfqr3kg9m+/DrDpRRf3Jxtcb2lFMWUmJrmTSRQ3NMze2qxqanJBWarRzXNBWapBmYbUnamJRVdZajRVoKAsFYVUfcMjG64V4XQfOy59TVTWcvp6v1FnWaXMArXcjpLy2y9Re1O4q4IBjveFk/DpFjKXHceipSu5G89i36+5wdPjktMZlJxOx/PlXnhN6W2wfdKXpr1HXm6rRpdnPLSmNCHX4GeFgzkyGxWVRaXY9mhmVN5UKT/vu2U5AywjPAAoOppk1ObCo0lIVHLMgxs/KU+lVofuqqkC5Rn/3qxX6I3KVgddalhnCssId7JWnKA0Od8giWB5bgmac1k4jqg56ivcGbqFjmH+tg/YGf0Xvi6hHI79h3aBAw0S6iVmnCIhI4Yx3V/j/h6GF5W/dn5q0n4s1XYUaXKNlqfnGWYVtrZwxEJlg7asiHC/Xtd9PJetOTDjluUMCHCrSrQXe+mwUZvPXjqMQq7CyymkwfXfamX/Tmko1uY1bUOERte30/38svw9Nu5fRIB3GHuPr6drxGCDhHrnk2M4d+kkDw97g0eHG44Q+mPVxybtx9rCjsJi4/6emnXR4GdbK0cszW3RaIto16K3UXlTLd74/S3LGRDsV5VA7NS5Q0Ztjjl/CDOFCj+PFjVt2uQuBwIuppzh42cW0CG0b1M3SWgE4Y73sSXhU45nLsPVoiVnczfS3L6fQUK9jJLTpJecppfny/T2mmKw/bakL03aj1pui0aXZ7Q8t9TwOm6ucEAls6G0sohmtj2u/4D+tS/l51uWM8DDsipXWlLRUaM2JxUeRS5R4Wwe3KC63S0jiM/fQXLRcXysO1Yvr9RXkFx0HDeLsEYdcQVQXll1j6DV1f9WII0unxJdToOSI/4X3VXBADNnK2x7+JO99hQWoW5UastxGt3KoIxE9u8fp97wRjJ/3wWKIk3LIq/yd6DwaBIVmjJk6qo5M7o8DRlLIg33JZXiODKc9DmHyNlwGvuBxl+ey7OKUDhaGi2/2q3MGWDd2QczV2vSFx3D7YnOyCyqIn6a+CzytsZhPyjEIOfC9SjLLMLMyfhYs1ZHo8stwa7flbcJqIOqAg6Zy47jMOxKwjW9roKsVSeRyKWYt3RpUDscR4aTteIEqb/tx/f9gdXL034/AJV6HO8Lr2Nr4XZnZ+lCuF8v9p9ejZ9rBGU6DT3DHjAoc3mYrv6a80BMwh7ik4+atB83+2bEJh+mtLykelh9kSaP7VELjfbVreUYNh6dxaGz6+jQfIhRXfnFmdhY1JzU8rJbmTOghU9X7K3c2Hr8T4Z0/B9qs6p+m5wdx7H4TXQMHmqQc+F2kVeUga2lcbByw5Gq9yAHehhnVRbubA42LrRr0ZsdR1YR5B1BaZmG/l2u6e/SyzlwDPt75JndnL5wxKT9eLoEEHPuENrSElTKqv5eWJzLP3vnX7MvKX07jmHV9t/YHbmW7q2HGtWVW5CJnXXd/f1W5gyICOqGo50763bPY3S/ZzBXVfX3xLQ4DpzYSPc2wwxyLtwuCotzeWX6CC6mnObDp+fTMax/UzdJaCRWZs742/bgVPZa3CxCKa/U0spptEEZiaSqX+uv6dcX8veRXGT4fbw2Dip/kgqPUlahwezfYfUaXR6RGUsMykklUsIdR3IofQ6nczYQYj/QqK6i8iwsFY517u9W5gzwse6MtZkrx9IX0dntierM+lmaeOLythJiP8gg58L1CHMczu7k79mfOssgGBCVuYwSXQ7hjnUnRq9LUVkmlmbG58dDabOBqkSCl5WU52CuMB4VtTWxKpAaZCeCg3CXBQOgKpFg3vZ4Ej/bgsLJEttehk+31QGOqAOdSP5pL5VaHSo/e0rOZJC55Djmwc6UnE6vdx+uj3Yk/rnlnBozF6fR4ejytWQsPIbSw5byjCKDst6v96HwcCJnJy/G4d6WWLXxRCKXUZqcR+62OCzD3Ot9m8CtzBkgkcvw/XgwsY8v5uTw33F5sC0VmnJSZx1AZqnE+40+BuXz913g1Jg5OI1pVe9xJH6ymZLYDGy7N0PpZUtFSRlFxy6Rve4UChcrg5Eadn0CsYhwJ3dLLDFj5mA/KBh9eSVZK05QcioN96e7orC/8uUkY3Ek515eVeOIj2vZ3ROI3cBgUn/bjy5fg1UHb4qjUkiffxT7QSHY9RZzDe90PcMf4Pj5rSzY/gE2Fs60amaYN8TDMQgPxyBWH/iBMp0WN3t/EjNOs+PEQrycQ0jMOFXvPga1e5zvVz/JB/OH0yNsLMXafLYen4eTjSd5xYbnkXG93uHspYN8tWwiXVqMJNCjHXKpgsyCJI7Fb8bfrVW9bxO4lTkDZFI5j/X/nK+XP8y7cwfRt/XDlJaXsO7QL5grrRjfy3A+dkzCHt6ffy89w8fVexwAO6MXk5WfBFQFQsortCzf8xUAjjZe9LzqrQ9Ldk1j6e4veHroDHpHjK+z3nfmDsTTKZgAt9bVyRqPxm3g7KVDhHh3oXvomOv9KIQ7wIDO4zh0cgu/rngfO2tn2rc0/ALo7RqEj1tzFm34jtIyLZ4uzTh/KYYN+xbi596C88kx9e5j5D1P8Mmsx3np66H07/QARSX5rN09FxcHL3LyDfv75JHvcTL+IO/NnEDv9vfRwr89cpmC9OwkDkRvIsinVb1vE7iVOQPkMjkvjPuS9356kOem9Wdoj0coLdOwbMtMzNVWPH7fVIPykWd289JXQxjQZXy9xwGwaf8i0rKr+ntuQQZl5aXMW1s1ysnVwYv+ncdVl529+lPmrpnG64/+xKCuE+qsd8r0EcQmHqdPh9EUFuexaf9fBuvbtbgHexvxesE7VSun0cTnbWdL4mdYKpxoZtvLYL2jOgAndSB7k39CV6nFXuVHRskZjmcuwdk8mPSS0/Xuo6ProyyPf465p8YQ7jQarS6fYxkLsVV6UFSeYVC2j/frJBYeZvHZybR0uBdPqzbIJHLySpOJy92Gu2VYvW8TuJU5A2QSOYN9P2Zx7OP8fnI4bV0epLxCw4HUWShllvS5Zqj9hfx9zDk1hlZOY+o9Dmfz5nR0m8SB1FksOvMYQXZ9ydZe4EDqLDwsW9PGeZxB+e1JX7Pj0nRGNJtOa+extdRaZdbJ4TibB+FuGYGVwpUSXTZnczeTVHgEH6tOhDndV112Z/J3JBdG4mvTGRulJ6W6QmJzt5BQeBBf6860cXqgjj3dPe66YIDdgGBkVkoqCktxHtsaidwwK75ELiN43gQSPtxIxqJjVJZVYBHmRvM548lcHGlSMMDpvnDK0gpIm3OIix9sROVth+dLPUEioSjS8G0EcmsVoasnkfrzPrLWxpCz8QwSmRSlmzVWHbxxHnf7PalyGBRC8LwJXPp2JwkfbUailGHd2RefN/sZBSUqiqpyGZgyz95+cAt0+Royl0dRnlOCRCJB6WWL2+Od8Xi6q8EICYlcRstlj5L6636y18aQ9Pk29LpK1EFO+H8+DOcJhp9bRXGpye0ACJo5hkvf7yJrWRRZK6Mxc7HC44UeeD7f8OFfwu2jfdBg1EorNKWF3BMxAZnU8FQok8p5c+xi5m15l21R8ynXleHvGs7r9y9i+4mFJgUDuoeOIacwlQ1HZjF3yzu42PowuturSCRS4lIMRxdYqKz5+OF/WHPgR/adXsWh2PXIpHIcrNwI9upEn1YPNerxN4aOwUN5c+xfLNvzFX9unYpCbkYL725MuOc9o6CEprQqCGpvadq84m3H53Mq0XA+5+XpGS28uxoEAzRl/9ZtQo6CAW0f43DcBjYcnUWRJhczuQpPx+Y80u8T+redZPR3IPw3dGs9FAu1NcWaAgZ1fRC5zPD3LJfJmfb8UmYueZv1e+ZRpisjyDuCT59bzD9755sUDOjXaSxZuams2v4bM5e8hZujLw8Pex2JRMrp84ajCyzNbZjxxiaWbPqB7UdWsidyHTKpHCc7d8ICOzOk+8RGPf7G0L3NMKY9v5R5a7/g52XvopAradW8G0+M+sAoKKHRVvXJml5FWJN1u/8kKnaPwbLL0zMigroZBAOu1F1/f49NqHr6u/XQMrYeMh5O/c0r60Qw4A4WbDcApcyK0opCWjuPRSa55joukTMheB4bEz7kWMYiKirLcLMIY3zzOURmLjYpGBDudB8FZWkcSpvDxosfYKfypqfnS0iQcOma0QUquTWTQlezL/VnYrLWciZnI1KJDGulG95WHWh7zQ3w7SDEYRATguex89K3bE74CJlEia91Z/r5vGkUlCirqOp7VibmERjgMxUbMw+Ops8nLm875nI72rk8yD1eryKTGibiLv237ppec3it9q4TOZuzmUNpc9Do8lBIVTipAxno+z7tXR42+Dvws+5CZkkcxzOqRiRIJTIc1QH0836HTm6TjNpxt5Lorx0Hewc6duwYbdu2JWzDk1iGmXbxEWp3+Wm+78eDcRweilRt1uAM+hff30DG0uO03vP8DSUuvFFnJ/9Fyel0InY8i1Rh/FrEG1GeUwLoOTHgF1Q+dvXmZCiKTiF64C8cPXqUNm3EfKXGcPkc8Plj2/F3i2jq5vwnXH6a/1j/z+na8j6UCvMGvyFgzua32XFiET88ffSGEhfW5LVZvVApLfnwobX1F74OFZU6irX5ZBck89rvvWrMH3G186lRvP5Hb9Gvb4HL/f3Xd3cR5NOqqZvzn3D5af7z47/knvajUSvNq98icL1+XPwmG/YuYMGnx28ocWFNHv+wO+YqS7577Z9GrVdXoaOoJJ/M3Es8/mH3GvNHXC024ThPfNRD9PdGdrlvPxm2AXdLkZ/pRl1+mj/Y92NCHYdjJlVXv0Xgem24+D7HM5byfOs9N5S4sCY/nxiAmdSSx0KXN2q910ujy6dSX8Gis49SWJbGS20O1lo2pSiaX6IH/ifOAfW/50K4a118Zz1Hwr6omivfQHk74/F8rnuTBgL0ugry917A+61+jR4IADjW8RuOhH1BWUr9SUsE4U7zx6bXmfRNIOsP/9LgOqLOb2NU15cbPRCQX5zJxYyTPNzno0atF+BiWjSTvgnktd97NXrdgnC7+n7hq4x4yY9lW35qcB2HY7by4JBXGz0QkFuQybmkaP53/yeNWi9AfNIJRrzkx+Mfdm/0ugWhqa2/+A5fHAnjQNrvDa4jPm8n3T2fa/RAQFF5FmnFpxjg+16j1tsQf5wcyRdHwkgqNC1XzH+FGBMpGLFo4UrIoivDFNX+Dg2uq9X2hr8qrbFI5DI6nH7zptUfPHc8el3VGwxuNEGjINwufJxDeXf8iuqf3ewb/saTb57c3xhNMmJj4cSSt7JuSt3uDgEGx+9i63tT9iMIt4MAr1C+enl19c+eLg3v73M+PNQYTTJiZ+3Ett/ybkrd3q6BBsfv7uR7U/YjCLeSq0ULJoYsqv7ZQe3f4LqebbW9MZpkxFLhyPudk25K3dfr3mZfVr/aUSG9e77Pi2CAYERuq76hVx3ebWy63JokToJwK1mqbW/oVYd3OrXS6q4+fuHuYmVhd0OvOrzTmaus7urjF/6b1HLbG3rV4d3Gy+r2y9N2K4hpAoIgCIIgCIIgCIJwlxHBAEEQBEEQBEEQBEG4y4hgwDWSvt7Ofo+paJNym7opdz1tUi77PaaS9PXNmad0mfidC1dbsmsaYz6xJyMvsambclsa84k9M9Y8c1PqnvrnMJ6e0fC3QYjfnXC9Zq/+lF6TrUnNSmjqptyWek225rM/nropdb/wxWDGvh7a4O3F7064XtuTvmbqfg9ytbfHHPXbzdT9HqyMf/Gm1D07ZjTfHOvY4O3F7+7mEcEAQRAEQRAEQRAEQbjLiASCwm1L6WlLx3PvIJGLmJUg3C4WvJ6CVNL4r+gEeGf8ctDrG7z9qG6vMKLLiyhkykZslSDcvTb+lIHsJvX3r15ehf4G+vtDQ19j/OCXMZOL/i4IjeGdjueQcnP6+0MhC4GG9/ceni/QzeMZ5BLR3xubCAYIt1RFUSkyS9M6skQiQaJS3OQW3RzXc5yCcCcxk6tMKqcpK0JtZnlddStkZg1pUjWZVI5MKi5rgtBYlArT+nuJtghz1XX2d/mN9Xe5TI5cJvq7IDQWhdS0/l5aUYxSZnFddculN3h9l8iRSUR/vxnuqk+1slRH6m/7yVoVjeZCNlKlHLW/Ay4PtsP5gTa1bqeJzyR11gEKDiRQmpIPlXrMg11wf7ILDsNaGpQtTc4n6evt5O85T3lmETIrFSpfe1wntsdpdNVcWH1lJWm/HyRjcSTaxFwkEgkKZ0usO/rg//kwJLJb9yQ84ZNNpMzcS8T2ZzAPcjZYV5ZeyNH203EaE0HA1yOql+ftOkfKT3spOp5MZamu6jOc2B7Xie0Ntj/W8RuUXrb4vNufxE+3UHQ8GaWPHRGb/kd5bgnJ3+4kZ9NZytILkakVKL1scRwZjvuTXYCqnAGRnb7F8+VeeE258sofvV5P+p9HyFgciSY2EySg8rHHcUQoHs90ry5Xnl1M0pfbyN0cS3l2MQpnSxwGheA5pTdy6/pPeMUxaSR9tY2CQ4lUaspR+dnjMq4NrpM6IZFIqsvFjJ5NaVIeIX9NJOHjTRTsvwhAh1Nvmvx7EG6Ncl0paw/9xJ6YZaTmnMdMrsTNvhn9Wj/CPa0erHW75KxY1h3+hVOJe8kuSEGvr8TbKYRhnZ6hc8gIg7JZBZdYsnMa0Rd3kVecgbnSGlc7P/q3fYyeYWMBqNRX8s/hX9gWtYCMvEQkgK2lKyFenXhi8DfIpDcnMl+T+dveZ/X+75n+xD68nIIN1uUWpvHUD2H0DH+Ap4f+AFTlDOgZPo5nh/0IQEZeIs/82Iox3V/Dzb4Zq/f/QEp2HP3aPMKj/T+jtLyERTs+YW/MCopL8/F1bsm4Xu+w8+QSdp5YxNK3c6r3N/XPYWTmJzLz2ajqZU/PiMDJxpsnBn3N3C3vcjppPxKJhHC/Xkwa8AV2li7VZZfsmsbS3V/w4zPHcbb1NjiO5Xuncyx+E7lFaViobPFzCeO+blMI8eoEQFzyUTYe+4OzSQfJKUxFJpPj79qKUd2mEOYrXs10JyorL2Xp5h/ZenAplzLOYaZQ4eXSjGE9H2Nwt4dq3S4hNZblW34iKnYPGTnJ6PWV+Hm2YGz/5+jVbqRB2YycS8xe/SnHTu8kpyAdC7U1Hs7+DO81if6dxwFQWVnJ8q0/8c+e+aRmJSCRSHCwcSEssAtTJn53S/v7L8veY9GGb5nz4SF83Q37e3ZeGmNeC2Fgl/G89khV/+412ZoBXcbz5mM/A5CalcC4N8J4eNgbeLo046+N35OYGsu9vR7juQc+R1tawu+rPmLroWUUleTTzCuUySPfY9P+v9i4byE7ZhVU7++FLwaTlp3I4s9PVi8b+3oorg7evPzQt/y05C2iYvchlUpp26I3L4z/CgebK/199upPmbtmGoumRePm6GNwHH+u+5ID0ZvIzkvF0tyWQO9wHhzyKuGBnQE4ff4Iq3bM4mT8AbLyUpHLFAT5tOKhIa/SJqRn43/wwk2nqyxlf+pvRGetIltzAblUiYPan3YuD9LG+YFat8vUxHMgdRYJBQfIL01BTyUu5sF0cX+Slg7DDMrmlyazPelrzufvoag8E5XMCnuVL+1dJxLhNBqour4fTPudyIzF5GoTkUgkWCqc8bHuyDD/z2/ayLqabEr4hL0pM3kmYjvO5kEG6wrL0pl+tD0RTmMYEfA1UJUzoJXTGEYGfAtArjaJbyM70cvzZRxUfuxN+YkszTnauTzIIL8PKavQsC3pc6KzVqPVFeBqEUIf79eJylzO8cylfNA5uXp/s2NGk1eaxEttDlYv++ZYR2yVXgz1n8bGix+QUHAQiURKM5vuDPb7BCuzK/cl25O+Zsel6bzY+gB2Ki+D49h16Xti87ZSWJaOWm6Dq0UoPTyex8e6AwCXCiM5nD6XxMLDFJalIZUocLcIo4fnC/jbdGv0z/1Oc9cEAyrLdJwaN4/CgwnY3hOI05hWSBRSSk6lk7PxTJ3BgPx9Fyk8koTdgOaovOzQ5WvIXH6C2KeWEFB2H06j/r3J11Vwatw8dHkaXB5si8rbDl2ehuJT6RQcSqgOBiR/t4ukr7bjeF84Lv/eQJcm5pKz6Sz68op6gwHlOcUmH7fMSoVUUfuJx2l0K1Jm7iVzeRQ+b/YzWJe18gRUVOI0ulX1svT5Rzj/xlos23ji8Xx3ZGoz8naf48Kba9Em5OD77gCDOkqT8zk1bh6O94biMKwlel0FALFPLqEoMhmXie1QBzhSWVRGSVwmBfsvVgcDaqLX64l7ZhnZq09i1d4bzxd6ILNSUhKbSc4/p6uDAboCLSeH/442IQfncW2waOFKUVQyqbMOkL/vIqF/T0amrn3UQVFUMjGjZiNRynGd2B6FkwU5609zceoGSmIzafbFvQblK4rLODV6DtadffB+oy8VBdpa6xaaRnlFGR8tvI/TSftp3awvvcLHIZcquJh+ksOx/9QZDIhJ2MvZSwdpHzQYZxtvirX57Dq5mOkrHuO5e8voEXY/ABWVOj5aOIoiTS79Wj+Ms60Pxdo8LmbEcCbpQHUwYMWer1m86zO6h45hQJtJAKTnXeRI3AYqKsvrvTkoKMk2+bjNldbIZbX/rfcMG8vq/d+z6+QSJvR+z2DdnphlVOor6BlW+xepyw6dXUdOYSr92z6Go/UkrM0dAfh6+aNEnttM+6AhhPv1JCMvgS+XPYSzrU89NV6RU5jK1Pn30qH5EB4K/ICLGSfZcmwOmtJC3h2/os5t0/MSeGfOQAo12fQKH4efawTasiLOJB3kVMLe6mDAodh1pGbH07XlfThae5BXlMHW43/y0cL7mDphNS19uprcXqHplevKeGX6cE7E7aNjaD8Gdp2AXCYnPukke4+vqzMYcPzsbk7GH6BrqyG4OfpQWJLHpv1/8f7PD/PWpFL6d67qD7oKHVOmD6ewOJdhPR/FzdGXwuI8zl2KJjruQHUwYP66L/lj9Sf07Xg/w3tPBiA18yJ7o9ajq6i/v+cVmt7fLdXWyOW19/f+ncexaMO3bNr/F0+Met9g3ZaDS6msrKhud132RK4lMy+FEb0mM7L349hYVfX393+eyIHoTXRrPZS2Ib1IzUrg3R8nGNys1ycrL4UXvxxM99bDeGrMR5xLOsmaXX9Qoingq5dX17ltauZFnpnWj/yibAZ2mUCQdwQl2iJOnjtA1Nk91cGA3ZFruZQeT58Oo3G29yQnP511u+fxyvThTH9lLa2aixuEO4musox5p8aRUHiQQNt7aOU0BqlEQXrJKc7kbKwzGHAxfx9JhUdobjcAO5UXGl0+JzKXsyT2Ke4LKCPCaRQAFXod806NQ6PLo63Lg9ipvNHo8kgvPkVCwaHqYMCu5O/YnvQV4Y730d5lIgC5pYmczdlEhb683mBAcXlOneuvppJZIZPW3t9bOY1mb8pMojKX08/H8AHViayVVFJBq3/bXZfTOf9QWJZGe5eHae/qjoXCAYAlsU8Ql7eNYLuB+Nt2J0+byF9nJ2Or9KqnxisKylKZEzOaYPuB9Pd5h7SSUxxNn09pRRETWyyqc9tcbSKzTg6nRJdDK6f7cbMIpayimMTCw1ws2F8dDDids4FszXnCHEZgrXSnqDyDY+mLmHdqHI+0WIKvTWeT2/tfdNcEA1J/20/hwQQ8p/TC6+XeBuv0lZV1bus0OsLoqbfrY504MeBnLn23qzoYUBKbifZcFoEzx+A4vPYMuTkbzmDbO4DAH0YZLPd5p79Jx3Ik7AuTygG0WPoINl38al1v3twZizA3slZE4/16HyTSK4GIzOUnUHrZYt2p6iJell7Ihff+wXFkmEHbXR/pwIX31pP6635cJ7ZH5WNfva40MZdm00fgPLZ19TJdgZaCvRfwfquvwZN8U2T/HUP26pM4PdCaZl8NN3hCf/XvMWXmHrQXsvH/fBguD7arXq4OcCTx0y2kzTmIx/9qv9hffO8f9OUVhK17AvPmztXHeeaRRWQsOIrL+LZYtvK4cky5JXi+1BOvV+65ruMRbp11B3/idNJ+7u/+OmN6vG6wrlJf9zmgR9j99G/7qMGyQe2f4LXfe7F879fVwYBLmWdJyY7jxZGz6NrivlrrO3R2Ha38+/D88F8Mlj/U5wOTjmXSN4EmlQN4/8G/aelT+9+6l1MIfq4R7D65lHG93kEquXIO2Bm9BCcbb1p41x6gu+xSVizTn9iLu0NA9bJj8ZuJPLeZPq0m8tSQb6uXh/r24LPFY00+hrTc87w08ne6tLjyVFYqkbLx6O8kZ8fh4VD75zHrn1fIL85g6oOrDT6H4Z0Nf++juk4xCob0a/MoL/3amZX7vhHBgDvM0s0/ciJuH4/c+yaP3Gv4Jbiynmt+/84PMLzXJINlo/o8xeQPu/Hnui+rgwEJKWdISovjvSdmc0+HUTVVBVTdeHYI7cs7j88yWP7UmI9MOpYRL9V+Db/WN6+so3Vw7ddVP48QgrxbseXgEiaPfA/pVdf8TQf+wtXRh4ig+v/WE1LPMvuDA3i5Xul7B05s5ED0Job2eIRXJn5fvbxNcA/e+H6MyceQnHGeqU/OoXf7K+dQqVTCqu2zSEyLw9u19v7+zYKXyS3IYPqUtUafw9W/94eGvsoTyvcN1t/baxIPv9ueBeu/FsGAO8z+1N9IKDxIL88p9PZ62WBdfdf3CKfRtHedaLCsk+tj/HxiALsufVcdDMgsiSVLe44xgTMJdRxea31ncjYQYNubUYE/GCzv7/OOScfyxZEwk8oBPNJiKX42tV+fnc2b42YRRnTWCvp4v25wfT+RuRxbpRc+1p3q3U+WJp6nI7biqG5WvSw2dytxedto6zyBe5tduS/xs+nKgjMTa6qmRjnai4wJ/IlQxysP2SRIOZw+lyxNPI7qgFq3XXvhLYrLM3m4xRKjz+Hq33tPzxcwkxleB9q7TGTG8V7sTp4hggFN3YBbJWtlNHJ7czyeNb5IXn0DXBOZ+ZV5LhWacio15YAemy6+pP95BF2hFrmVqnroed62WGx7NUNuo665PislJWczKT6VhkUL1+s+lpBFpncyU+p3Gh3BxakbKNh3EZtu/gAUn06n5FQaHi/0qL7hzl4Xg75Uh/O4NkajE+z6Nift94Pk7z5vEAyQ25njNMbwVWFSlRyJUk7+vos4jWmFmbOVyceTteoESCT4vN3PIBAAhr/HnA1nUDhb4jzOcMSH26ROXPpuF7kbztQaDCjPKqLwSBIOQ1tWBwIu1+/xXHfytsaSs+G0QTAAwO2J+m+YhKazJ2YZVuYOjOj6ktG6qy+QNVGZXZkbV1quoaxcgx49LX26sfnYbEpKCzBXWmOusgYgMn4Lrfz7YKGyqbE+c5U1SVlnSEiPwcelZY1l6lLf0/Cr+TjX/+qunmFjmbP5LWIS9lQPiU/IOEVCxklGdZ1i1Ndq0jZwgEEgAOBI3AYA7u30rMHyNgH98HAMIjkr1qRjsLN0MwgEAIT6dmfj0d9JyzlfazCgUJNL1PlttAkcUGNA5Orf+9W/Y21ZMeW6UiQSCQFubYhNPmxSO4Xbx9aDS7GxdGDC4ClG66T1XPPVyqv6e5kGbVkJej20bt6Dv3f+TrGmAAu1NRbmVf39YPQm2of2wcrctsb6LNTWXEw5w7mkkzTzuv5X6dX3NPxqASbU37/LA8z46w2On91dPST+/KUYziVF89DQV03q753DBxoEAgD2RVX197H9nzNY3il8AD5uzUlIPWvSMTjauhkEAgBaB/dk1fZZXEqPrzUYUFCUw+GYrXQOH1hjQOTq3/vVv2NNaTFl5VpAQohfW2LOHTKpncLtIzprJeZye7p7PGu0rr7ru5nMvPrf5RUayis16AFfmy4cSf8Tra4QldwKlbyqv8fmbaOZbS/U8pqv70qZFZklZ0krPoWrRYvrPpaJIXU/Db+aKfVHOI1mw8WpXCzYVz0kPr34NGklp+jh8YJJ/T3Irq9BIADgbO5mALq4P3lN2T44qQPJ1MSZdAxWCleDQACAv01XDqfPJVt7odZgQEl5LufydhBk17fGgMjVv/erf8dlFSXoKqv6u4dlKy4VHjOpnf9ld00wQHshB4sId6Rm13/IFUWlJH21naw1JylPKzReX1AVDFB62uLxfA+SZ+wma1U0FmFuWHX0wXFYqMGNo/cbfTk7aREn+v2E0tMWqw7e2PYOxGFoC5PaZ9ujWb1lrofjyHASPtpE5rKo6mBA1vKqObtXTxHQxGUBcGrMnFrrKs8sMvhZ6WNnFGyRmsnxfX8gF6f+w9E2X2Me4oJ1R2/sB4ZU77822gs5mLlZo7CvO3GJNikXq9aeRlMupCoFKh97tIm5tW+bmAeAurmT0TrzIKd/yxhuL3ewMCkPgdB0UnPO08ytVYOS1GlKC1m8axr7Tq0ityjVaH2xtioY4GTjxX1dp7By3zfsiVmGn2s4Id5d6BIyggD3K4Gpcb3e4ctlD/HKrO442XgR7NWZ1s360ClkuEntC/frdd3HUJduLUfz59b32Bm9uDoYsCt6MQA9w+ufIgDgamf89DIjLwGZVI6rvXG/drcPNDkY4GJnPMTYSl0VdCzU1D6kMi3nPHr0+LrUf4OUV5TBwh0fcSRuA4XXTMOQUP+XJeH2cinjHM19WjcoSV2JtpDZqz9l++EVZOUZ9/eiknws1Na4Onjz4JBXWLh+OlsOLSXIO4LwoK70bjeSYL+21eUfv+893pkxnkkfdMHFwZvwwM50CO1Lr3YjTWpfuxa96y1zPfp2vJ+flr7Dxv2LqoMBm/b/BcAAE6YIAHg4G/fp1KyLyGRyPJyNv6N4uQaaHAxwc/I1WmZtUdXfC4pq7+/JGefR6/UEeNX/ZDUnP4NZKz9g7/H15Bdd099NuDkSbi852gu4W0Q0KEldaUUR25O+4mTWGgrL04zWaysKUMmtsFV60sPjeXYnzyA6axVuFmH4WHUk1HEYHpatqsv39X6DRWcn8dOJftgqPfG26kCgbW9aOAw1qX3NbBs3R02440g2JXxEVOay6mBAVNZyAJOmCADYq3yNluVpk5BK5NirjK/9DqpmJgcD7FTeRsvUcjsANOW1f1fP0V5Ejx5X8/ofqBSVZbIlcRpnczdRojM8h4jr+10UDNCjp6G/77hnlpG7NQ6Xie2w7uCD3FYNUgmZSyLJWhmNvvLKqzK8X++D8wOtyd0aS+HBRDL+iiT15314PNsd7zf7AmDVzovW+14gb8c58vddoGDfBbJWnCD5+12E/j253pvKsgzjgERt5LbqegMMCgcLbHsFkL3+FH6fDUGqlJO1MhrLNp6o/R2uFPz3FUABM0ahcKj5ZlzlY2fwc23z8l0ntsd+QDC5W2Mp2H+R7HWnSJt9qGoKwow6Tk76hv8eb6a68g8It4eqc0DD/ni+W/UEx+I30b/tYwR7dcJSZYtUKmN71EL2xCxDf9VwtHG93uaeiAkci9/E6aT9bDs+nzUHZjCyy0uM7/0uAM09O/DD00eJOr+Nkxf3EJOwm90nl7B879d88vAmLP4dYVCb3KJ0k9tuqbarN8BgY+FIK/8+HDyzhscHfolCrmJPzDICPdrhZm9a8FGpqHkkVGOoa45l3a8mq1pX38W+Ul/Jx4tGkZIdz5CO/8PfNRxzpTUSiZSV+77l5MVdDWm20IT0en2Db+o++nUSB6I3MrzXJMICOmNlYYdUKmPD3vlV8+qv6u+TR77H4G4PceDERk7E7Wf97nks3vg9EwZP4fH7pgLQsllHFnwWxeGYrUSe2cXxs7vZfGAx89d9xY9vbsHSvOYnjJdl55ve360t7OoNMNhaOdKhZV92Hf2blyZMx0yhYsuhpbTwb4+nS+1Dcq+mNGui/l7HdvrL/b2e33tlZSWvfjOCxLQ4xvR7hiCfCCzUVf194frpHDuzsyHNFppQ1WWgYf19WdwzxOVupZ3LRHysO6CW2yJBSmTmEqKzVhpc3/t4v05r5weIzd1KYuFBIjP+Yl/qz3T3eJa+3lXD0L2s2vFC632cy9vBhfx9XCjYx4msFexK/p7JoX9XjzCoTWFZhsltV8tt6w0wWCgcCLDtxans9Qzx+wy5VEl01ko8LdvgoK77AdxlCmlT9ff6r+/1fa+r1Fcy7/Q4sjXn6eT2OO6WoShl1kiQsDt5BhcK9jag1f8td00wQO3ngCY2k8ryijoT6l1Ll68hd2scTqMj8P90qMG6jL9qHlqi8rHH7bFOuD3WiUptOacm/Enyj3twe6oLCruqoSoyCyUOQ1rgMKRqiE/anENceHsdmYsjcXu87rkrR1t/ZXL768sZcJnT6Fbkbokl558zKBwtKEsrwON5w2F2Kr+qwIDCwaJRRieYuVjhMr4tLuPboq+oJO75FWStjMb9qa5YhLrVuI3K34HcLbGU55SgsDevsQyAytsOzbks9BWVBqMDKrXllCbmYh7sXMe2tgBozmYardPEZlbXL9xZ3O2bcSnrLLqK8joT6l2rWJvPsfhN9Ah/gMkDvzRYt+34/Bq3cbHzZVD7JxjU/gnKdFo+XjSaVfu+ZVinZ7FSV/3tqM0s6RR8L52Cq4bHbTzyO7M2vsqOEwsY0uF/dbbpie9CTG5/fTkDLusZPpaj8Rs5dHYdNhZO5BSmcl9X4yHW18PZxpuKSh1pOeeNphCk5Jj21OBGuNr5I0HCxfSTdZZLzDhFQkYMY7q/xv093jBY99fOT29mE4WbxMslgIspZ9DpyutMqHetwpI8DkRvpH/ncbw4YbrBuvV75tW4jbuTH/f1eYr7+jxFabmW174ZycJ/pjO2/3NYW1Y90TZXWdKz7XB6tq2aa7xq+298u2AK/+ydz5h+z9TZplFTTM8RUl/OgMsGdBnH/hMb2B25BjtrZ7JyU3ho8Csm76cmro4+VFToSM44ZzSFICnt5vd3D2d/JBIJ8UnRdZY7nxzDuUsneXjYGzw6/C2DdX+s+vhmNlG4SRzUfmRqYv9NwGt6f9fo8onL3UqE02iG+hue649l/FXjNvYqHzq5PUYnt8cor9Ty56kJ7En+kS5uT2GuqLq+K2UWtHAYQguHIQAcSpvDugtvE5m5mM5uj9fZpq+Otq5z/dXqyxlwWSun0cTmbuFMzj9YKBwpKEuju8fzJu+nJrYqTyrzdeRoLxhNIcjWnruhuk1hr/JFgoS04pg6y2WUnCa95DS9PF+mt5fhd5ptSV/WstXd5a4JBjiODCPx0y2k/LgHzxcNXxtT1xOE6hvJa54+aeKzyNl4xmCZrkCLVK0wCDZIVQrMA5woPJBARb4WhZ055TnFRsPcLcKqbn7Lc0vqPZbGzhkAYNe/OTIbFZnLozBztEBiJsNxuOFQO4dhLUn8fCtJX27DuoM3UpXhCVdXoEWqlCNV1v1nVaEpA0CmvhLNlMikWIS4kL0qGl2uptZtHUeEk7vpLInTtlS9hvHqBIJX/R7tBwST/MNuMhZH4jL+ynDNtDmHqCgqxW5gsFHdlykcLbFq50XOxjOUxGViHlg1NUBfWUnyj3uq6h9o+s2YcHvo1nI0C7Z/wOr93zGqm+GX3rrOAdXzzq45ByRnx3Eodr3BsmJtAUqF2iDYYCZX4ekQxOnEfRRr87BS21FQko21uYPBtn5u4QAUltSfSbixcwYAtAschIXKhp3Ri7G1cEYuM6szCaIp2gYOZHPkHP4+MMMggeCx+M0mTxG4EVbm9kT438PRuA2cStxnlAjx8u/98u/42lEGMQl7iE8+etPbKTS+Ph3H8OvyqSzc8A0Th75msK6u/l6d2f+av4XEtDj2RK4zWFZUko/KzNwg2KBUqPB2a05U7F4KS/KwtrQnrzAbWyvD/h7oXZVLp6C4/v7e2DkDALpEDMbS3JZN+//C3toZhdysziSIptU5kDU7/2Dxph8MEggeOLHR5CkCN8LG0oH2LfuwL+ofomL3GiVCrO7v1W9vMPwdR57ZzekLR256O4XGF+Y4ki2Jn7In5Ud6er5osK7u63vV38K1T6CzNPGcydlosEyrK0AhVRsEGxRSFU7mASQUHkBbkY+5wo7i8hwsFPYG27pZVH2fLqlj2PtljZ0zAKC5XX9UMhuiMpdjYeaITGJGWB1JEE2rsx9H0uezL+UXgwSCsblbTZ4icCPMFfY0s+1FbO5mLhYcwPeaRIiXf++SWn7HF/L3kVwUedPbeSe4a4IBbpM7k7vpLElfbqPw2CVsuvkhUcgoOZ1OeVYxwX/UPE9OZqnEprs/mStOIDU3wyLUFW1iLul/HsE80Ini6CvzCQv2XeDca2twGByCupkjUgszik+kkL7oGFbtvFD5Vp0cjvecgVUbTyxbe2LmakVZeiHpC44iUcpxGFb/hbyxcwYASJVyHIa2JOOvSKRmMuz6BlVNh7iK0t0G/8+Gcu6V1RzvNQPH+8JRetqiyy6m+EwGuRvOELHjGVRedT81157LJmb0bOwHhmAe7IzMRoUmLov0eYdR+thh1b72V5I43NuS7HUxZCw4iiYuE7t+zZFZKtHEZ1F07BJha6siru5PdyN77SnOv76G4qgUzFu4UBSVQuaS45i3cMX1kY51ttH3w0HEjJpNzIjfcXm4PQpHC3I2nKFg7wWcJ7Q1Sh4o3P6GdHiKI3H/8NfOT4lNPkKYbw9kUgWJmafIL87ktTE1P+VXK60I8+vJrpNLUCrM8XMNIz0vgc3HZuPp2JwLaVHVZWMSdvPL+pfoGDwMD4cAVAoLzqVFsfX4nzT37FA9r/7FXzoR5N6OQI+22Fm6kluUzpbIuShkSjpfkyivJo2dMwBAIVfSOWQE247PRyFX0jagP5Zq2xuqs01APyL872Hr8XkUanII9+1Jen4CWyLn4uPckoSMuiP6jWHSwC94Z+5APlwwkt4R4/F1CaO0vJizlw7j7xrBqG5T8HAMwsMxiNUHfqBMp8XN3p/EjNPsOLEQL+cQEjNO3fR2Co1rdN+n2Xd8PX+s+phT5w/TNrgnMrmCC5dOkVOQwSfP1vyF21xlRduQXmw+sBiV0pxA7whSMi/y984/8HULJjbxeHXZyLO7+Xre8/RoMxwv1wDUSktiE46zbvdcQpt1rJ5X//C77Wjh354Q/3Y42rqRnZfG2l1zUMiV9G5Xf8CtsXMGAJgplPRuN5J1e+ZhJlfSOXwgVhY3NuKtU9gA2rfsw9pdc8gvzKZti6pXC67dNYdmnqGcu1T3CJ3G8ML4r3j2s35M+fpeBnV9kACvMDRlJcTEHyTIpxUPDX0Vb9cgfNyas2jDd5SWafF0acb5SzFs2LcQP/cWnE+++ecloXF1dpvM2dxNbEv6kkuFx/Cz6YZMoiC95DTF5VmMC/6jxu2UMkv8bbpzInMFZlJzXC1CydUmciT9T5zMA0ktvjLK5ELBPtace40Qh8E4qpthJrUgpfgEx9IX4WXVrnpe/YzjPfG0aoOnZWuszFwpLEvnaPoC5BIloQ7D6j2Wxs4ZACCXKmnpMJTIjL+QSc0IsuuLWm57Q3UG2vYhwKYXRzMWUKLLwd+mG7naJI5mLMDFPIT0ktON0/g6DPH7mFknhzPv1AO0crofV4uWlFdqSCo8gptFGD09X8BRHYCTOpC9yT+hq9Rir/Ijo+QMxzOX4GwefEvaebu7a4IBUqWcFosfJuWnvWStiiZx9zmkagVqf0dcHmpX57aBM0aR8PEmcv45TcaSSMyDnGn25XBKzqQbBAPMW7jiMCiEgv0Xq3IJVFSi9LDB47nuuD955YmU+5NdyN0WR+ofB6ko1KJwsMCyjScez3XHIsTlpn0G9XEa04qMBUep1FQaJA68mvPY1qj8HUj5eS/p849WJU+0N0ft74DXq70xc7Ksdz9m7jY4j21N/r6L5Gw8Q2WZDjNXa5zHt8XjmW5GIw6uJpFICPp5DGlzDpHxVyRJX29HKpeh9LHDceSVkQxyaxWhqyeR9MU2cjafJWNxJAonS1wf64jXlF71zvG3jPAgdNUkkr7aTtqcQ1RqylH5OeD7/kBcJ9f/Ghbh9qOQK3lvwir+3v8De2KWceLCDpQKNe72AfRr82id2z4//Ffmb5vKwbNr2X5iIV6OwTw15DsSM04ZBAN8XELp2HwopxL2sOdk1dxiR2sPRnZ9iWEdr2Q5HtbxGSLjN7P+8K+UlBZgY+5IoEc7RnZ5CR/n688+3Fh6ho1lS+RcSstL6BlmWuLAukgkEl4ZNZdFOz5m76kVRJ7bgo9zC14d/Scbj/5Oas75Rmh13Vzt/Pj8sW0s3f0lkfGb2R61EEu1Hf6u4dWvC5RJ5bw5djHztrzLtqj5lOvK8HcN5/X7F7H9xEIRDLgDmSmUfP3KGhZv+I4tB5dy9NR2lGbmeLkGcG/PSXVu+87jv/Pz0nfZdWwN/+xdgK97CK8+/APnL8UYBAMCPEPp3uZejp/dzZaDS6isrMDZ3pMHB0/h/qsy6t/f/zkORm9ixdafKdYUYGvlRAv/9kwY/DL+ntf/NpHG0r/zONbsmo22rIT+JiYOrItEIuHDp+cza+WHbDu4jIMnN9PMsyUfPb2AVTtmcSnj5g8d9nD255d3dzFv7ecciN7EP3vnY2VhR5B3BK2aV02fkMvkTHt+KTOXvM36PfMo05UR5B3Bp88t5p+980Uw4A4klyp5uMVi9qb8RHTWKs4l7kYhVeOo9qedy0N1bjsqcAabEj7mdM4/RGYswdk8iOHNviS95IxBMMDVvAUhDoO4WLCf6KyVVOorsFF60N3jOYOM+l3cnyQudxsHU/9AW1GIhcIBT8s2dPd4DheLphtV2sppDEczFlBZqTE5cWBdJBIJY5v/xtbEaURnryYudzsuFiE80HwWh9PmkqO90Aitrpu9ypcnw/5h56VvicvbxvHMJajltrhZhOFnXXXfJZPImRA8j40JH3IsYxEVlWW4WYQxvvkcIjMXi2AAINHXnX3pjnDs2DHatm1L2IYnsQxzb+rmCEKdiqJTiB74C0ePHqVNmzb1byDU6/I54PPHtuPvFlH/BkKTe/nXrlRU6vjuqYNN3ZRGcT41itf/6C369S1wub//+u4ugnxaNXVzBBM8OrUTuopy/vz4vzHtJjbhOE981EP090Z2uW8/GbYBd8v63woh3J5+PN6HSn05z7X+7ybfTSmK5pfogf+Jc0DdL98UBEEQhBtQWm6cA+Ro3CaSMk/flOkOgiA0ndIy4/6+/8QGLiSfuinTHQRBaDrlFcb9PTZ3CxmaM/jfhOkOws1x10wTEARBEG69JbumkZARQ6hPd8yV1lxIP8H2qIVYmTswovONZTMWBOH2Mnv1p5y7dJLWwT2wUFsTn3iCf/bOx8bSgXEDX2rq5gmC0Ii2X/qa9OLT+Np0QSWzIrX4JMczl2Aut6eb+9NN3TzBRCIYIAiCINw0Lby7EJt8mL8P/EBJaQGWajs6hdzLAz3fwsFaJOIUhP+S8KAuxJw/xF8bv6NYU4C1uR092w7nsRHv4Gwv+rsg/Jf4WHckqfAo+1J+QltRiFpuSwv7Idzj/So2SjFt+04hggGCIAjCTdM2cABtAwc0dTMEQbgFukQMokvEoKZuhiAIt0Bzu340t+vX1M0QbpDIGSAIgiAIgiAIgiAIdxkRDBAEQRAEQRAEQRCEu4wIBgiCIAiCIAiCIAjCXUYEAwRBEARBEARBEAThLiOCAYIgCIIgCIIgCIJwlxHBAEEQBEEQBEEQBEG4y/ynXi2oictq6iYIQr3E3+nNk5wd29RNEO5S4m/v1ktIPdvUTRDuUuJv7+bK0sQ1dRMEoU7/pb/R/0QwwNHREZW5mvjnljd1UwTBJCpzNY6Ojk3djP8MR0dH1Gpzvl/9ZFM3RbiLqdXmol/fAo6Ojpirzflk1uNN3RThLmYu+nujc3R0RK0yZ3n8c03dFEGol1r13zgHSPR6vb6pG9EYEhMTycoST1yFO4OjoyPe3t5N3Yz/FHEOEJqa6Ne3jujvQlMT/f3mEH1buFP8V84B/5lggCAIgiAIgiAIgiAIphEJBAVBEARBEARBEAThLiOCAYIgCIIgCIIgCIJwlxHBAEEQBEEQBEEQBEG4y4hggCAIgiAIgiAIgiDcZUQwQBAEQRAEQRAEQRDuMiIYIAiCIAiCIAiCIAh3GREMEARBEARBEARBEIS7jAgGCIIgCIIgCIIgCMJdRgQDBEEQBEEQBEEQBOEuI4IBgiAIgiAIgiAIgnCXEcEAQRAEQRAEQRAEQbjLiGCAIAiCIAiCIAiCINxlRDBAEARBEARBEARBEO4yIhggCIIgCIIgCIIgCHcZEQwQBEEQBEEQBEEQhLuMCAYIgiAIgiAIgiAIwl1GBAMEQRAEQRAEQRAE4S7zf3rsvv6ar+ReAAAAAElFTkSuQmCC"
     }
    },
    {
     "output_type": "display_data",
     "metadata": {},
     "data": {
      "image/png": "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"
     }
    }
   ],
   "execution_count": 5,
   "id": "celula-010"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Discussão em sala\n",
    "Explique com suas palavras a pergunta respondida, as entradas utilizadas e o significado da saída. Que informação adicional seria necessária para usar esse modelo em uma organização?\n",
    "\n",
    "## Referências\n",
    "- [Base e documentação oficial](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_iris.html)\n",
    "- [Guia de aprendizado de máquina](https://scikit-learn.org/stable/user_guide.html)\n",
    "\n",
    "Dados pequenos servem para ensino; resultados não garantem desempenho em produção."
   ],
   "id": "celula-011"
  }
 ]
}