diff --git a/jupyternotebook/lecturefichier/lire_csv.ipynb b/jupyternotebook/lecturefichier/lire_csv.ipynb deleted file mode 100644 index a8e881d..0000000 --- a/jupyternotebook/lecturefichier/lire_csv.ipynb +++ /dev/null @@ -1,206 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 87, - "metadata": {}, - "outputs": [], - "source": [ - "import csv\n", - "import os\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "import pandas as pd\n", - "import numpy as np\n", - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "from sklearn.datasets import make_blobs\n", - "from sklearn.metrics import accuracy_score\n", - "import plotly.graph_objects as go\n", - "import PySimpleGUI as sg\n", - "from os import listdir\n", - "import matplotlib.pyplot as plt\n", - "from mpl_toolkits.mplot3d import Axes3D" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "def selection_fichier(dossier):\n", - " # Liste des fichiers dans le répertoire\n", - " nom_fichiers = listdir(dossier)\n", - " # Créer une liste de tuples pour les options de la liste déroulante\n", - " options = [(fichier) for fichier in nom_fichiers]\n", - " # Créer la disposition de l'interface graphique\n", - " layout = [\n", - " [sg.Text(\"Sélectionnez les fichiers à traiter :\")],\n", - " [sg.Listbox(values=options, select_mode=sg.LISTBOX_SELECT_MODE_EXTENDED, size=(40, 10))],\n", - " [sg.Button(\"OK\"), sg.Button(\"Annuler\")]\n", - " ]\n", - " # Créer la fenêtre de l'interface graphique\n", - " window = sg.Window(\"Sélection des fichiers\", layout)\n", - " # Attendre que l'utilisateur interagisse avec l'interface graphique\n", - " while True:\n", - " event, values = window.read()\n", - " if event == sg.WINDOW_CLOSED or event == \"Annuler\":\n", - " fichiers_selectionnes = []\n", - " break\n", - " elif event == \"OK\":\n", - " fichiers_selectionnes = values[0]\n", - " break\n", - " # Fermer la fenêtre de l'interface graphique\n", - " window.close()\n", - " return fichiers_selectionnes" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": {}, - "outputs": [], - "source": [ - "def lire_un_fichier_csv(data):\n", - " \n", - " tableau_2D=[]\n", - " tab=[]\n", - " with open(data,\"r\") as csv_file:\n", - " csv_reader=csv.reader(csv_file,delimiter=',')\n", - " for ligne in csv_reader:\n", - " tableau_2D.append(ligne)\n", - " for i in range(len(tableau_2D[0])):\n", - " ligne = [] \n", - " for j in range(len(tableau_2D)):\n", - " ligne.append(float(tableau_2D[j][i]))\n", - " tab.append(ligne) \n", - " return tab" - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "metadata": {}, - "outputs": [], - "source": [ - "def lire_fichier_csv(data,fichier):\n", - " resultat=[]\n", - " tableau=[]\n", - " for i in fichier:\n", - " tableau=lire_un_fichier_csv(os.path.join(data,i))\n", - " resultat.append(tableau)\n", - " return resultat" - ] - }, - { - "cell_type": "code", - "execution_count": 103, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "['Shear_x001-x101_y008_Rot90.csv', 'Shear_x001-x101_y009_Rot90.csv', 'Shear_x001-x101_y010_Rot00.csv']\n" - ] - } - ], - "source": [ - "# Répertoire contenant les fichiers\n", - "dossier = \"dataverse_files\\Dataset\\Shear_Wave_Rot00_CSV_Data\"\n", - "fichiers_selectionnes=selection_fichier(dossier)\n", - "print(fichiers_selectionnes)\n", - "tableau_3D=lire_fichier_csv(dossier,fichiers_selectionnes)" - ] - }, - { - "cell_type": "code", - "execution_count": 164, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjsAAAGdCAYAAAD0e7I1AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOz9e7RcxXUnjn9Et7r1sHTRA72+lgmTYJaJcFa+EINwEoxtJIgFfo0ho7W0UMYj4+E1BBh7sJe/lhMDBju2MzBhHA9jbLCDJyshMT9sRfJkGS8iCbBWmICNiT1LtsWyhGwsXQES3erm/v44t/rs2rX3rqrTfa/Evf1Z60rdfepU7apTj0/tR50ZY2NjYxhiiCGGGGKIIYaYojjhWAswxBBDDDHEEEMMMZEYkp0hhhhiiCGGGGJKY0h2hhhiiCGGGGKIKY0h2RliiCGGGGKIIaY0hmRniCGGGGKIIYaY0hiSnSGGGGKIIYYYYkpjSHaGGGKIIYYYYogpjSHZGWKIIYYYYoghpjTqx1qAicIrr7yCn//855g3bx5mzJhxrMUZYoghhhjiOMbY2BheeOEFrFixAiecMHF6gJdffhntdrvvfBqNBmbNmjUAiaYHpizZ+fnPf46VK1ceazGGGGKIIYZ4FWHPnj147WtfOyF5v/zyyzhp9my8OIC8li1bht27dw8JTyKmLNmZN28eAOCP93wQzflNAEAXNTV9F3V0iVWvgTZq6KKGrndv+X99/P8TUMMrAIAaOr30DvQ7v8Z/r4//3yFyajLbddFl1e638oulc+2k1a9I8wr53DHv5WVY+abITdNI5VjlSWW79JZc2v1Su8f6Zfn5hKy2of0yLX1cVu2eoh7+GKLPvMzjhN61BlqmHNZYCvPN6wdSmX5dwnZOed5aubHxGrZ1nX0Px24XNbGteH/nbe2eVZmmE+RBEau3NF7qwm+u7A6przW+AKA5Pg87tNBQx0A5k+jX6f+87VqH2vjMyr/srR0TgXa7jRcB/GcAzT7yaQH49L59aLfbQ7KTiClLdpzpqjm/iVnzm+ighjogDnLAkZ1abwKpYSaaaAUDBSjJCM+r+FYf/+4GKP1e98oEubuYHPxB2kHaIhhe8we1JC+tT2yh4Ne5XK7lNNgEsNObGN3vM01pfPC0Ul14Gv5Mpfqkltkv4aEySOX6xNfvo6E0Ult34PpVfbwP5sgqyelA8+v0yA5fSPwxRuVqoq6U58ZMKF0d3aRxwceZNV5cWS6FVBd+XSu3zC+cW3SZa8FzrrPrdfbZ/a8RQyp7Ay3UydIa9vfwU1kPN2+lbUbK8axvMPzyy77J26DIq9GjMMWsXEOL1IX2bzo+JPlc2bSW0tw1GW4PTQBDijK5mLJkx4EOrtiEZ8ENNqAcmHRC4ws2v7f4XyI68r18wNKFkJctwS2IXbJA1NAJ2iCV9PCJSIJEDDXZXPpyGuuoixgnATENhCa7RWLc5DoRSNE6SDth+uwoUjUeUv/MkZXv2J08KWW78rVyy2VJb3PrXoqOJ3NYZzpetOdsjV8pbWw88I1FytiqMjZ94puGGGEE0jTSGjTiHrvHIU5MO+JzLH5P0fCVhDhFiz4RmIm8TR1HNR3j9MaUJzsOpSkn3QTBwRchwB/YOWp3W1Z70KVMVlI+tA007YKcjz4JA+UCI2m/YvJJBKlqu8XKdc+KlivtJmN50om8ymJjIcVkYPVhLn/uoiPJUSNtZpEhDrpr5kSpKtFJBb2fjheNAPK6aARKQ47mJrzuz02xvCVtoDaWXP58sxRDrF/HrnPZ6O8xLVgKNFIbpjs2G5wY6uhv8Z02C/cAMWwzBqqF4XZ8noZO4P0QHboI09+KMurBDoRC3lXWwAkMVaVzsiNNQDw/+7s9mUqySxNhCqpOTrQdUxZCDTmaDes6125JaUNy4Xa0kqlq8LAID/dhkTSRFhmSfDtSFuEqaVNgkQX7Ptk0TKFpbqimNTbGrN8lIpoDTROTSnj8tisJhGXu8/u/PPfweUWCNB4nU0NTFXX0p9k5NhTt1Y1pQXashZzv0jVIE3vujl43/5Rkxi2+0iRIVfEp0IgOvx7KmTZZaJOkpHkahIZBumaZ+5yMRdpO7zr1c+ga14FQIyHJ1I+W0PqNmk1pXfx7+pv24mSN+774REcrn6eRFnqrT/DxkAvpfu4zxP2PdILhE+VBEK3SKThsG/u+btAvNL8dXla+jDIB4t85Yc/xJ0wtv8uelaZRl8qm13M1dkNMHUwLskMnFDoBa7uC0j2xVLX7E2U1rYQGbkPmDo3abq4KpMky5hPCy6X+G66NqBOhVGZMJvu7r7Lux5+AayRi1y3TDZetKqw8Unaqg1qAebkWIaHkkN9H0/Rrjsrx5ZDkkwi/lo6OB+6grGlYNbIS65dau1gbKUsDmFKm5nclpYvloYHLGJu7YubrDvLNxFzbRNFvfxwUhmasyce0aTPNQTHF78H9Fu5O07RCqdB8Y1IGuySL5EitIXUS4LvkIqqmjQbaPTly/Fhi5EFaTHMmP4msuEW4g5qXhpJbyblVk2mQ8J9jOomRiKsmp+VASssvyay8wHHiyUlXLErPlecvfrqpJwfSWAp9zUothG0qTuvPcdKekkc4VvlGLfU+wH+GLo9crQrNP/VZxMxwUtCA1s5ce9Qh/w/St2sy0a+D8lAnlY8pT3bcHg0oFy5J/ZkyMVkT7yBsxTkTSmz3xeXibZDiayChAbdwlG1YnEnUAd8Zh3LZQ1RzGPXzsDUOHLS+rvymR8x8QihpjmzNTlzVH0MVM5iElF27RZ64VsYtkimmKql8aXxJBN4aOzHn+FQ4/SMgL3C0f8RCxVNgtZuWXutnbqxZ8lv9ko8X3gcsh+GwnE4y+bOQSzI40eHXrPmCfrbM0oMah0Mcn5hW78aqo9s7pIr/ASUxouYZ930QKKZbbeGQtEndYCBa9/t/Zd0a45qX2nj9i79W768h/M3BYe/Pv972/px2x5VX7y0t5V8TrV5ban+0zvpfx9utan+0vsVzb6nPn8pQ3t9KkCWsJ2/7uJwtJY8yH1qHVLk0aP1ZWxypb4k+bjpBubTf8n5sE3V9jHACwqXRwK91lHv6PZpC+lx8155v8eeeqT+mut7vdOzy8Tebjc85OOyNb97nyzmg7FfSOKVp+BjNQcozspAaPaYRIYqUzcpkoD6Avxzceuut+J3f+R3MmzcPS5Yswbve9S4888wzXpqxsTFs3rwZK1aswOzZs/GWt7wF3//+9700rVYL11xzDRYvXoy5c+fikksuwbPPPuulOXDgADZs2ICRkRGMjIxgw4YNOHjwoJfmZz/7GS6++GLMnTsXixcvxrXXXjuQV2hYmPKaHQetk/thj/4OQYrasdTM6bL4GhyeZ3nd3wXThUdC3BZPTXl0cs51FvTNFfyU0yqILRYOkmlEKtvWRtg+Mtx51O0ILblSfo/toC0/jpz2tcwBfvlpvhuD8AnqV1MiEZ2cMnLld888La3sE+iQom3T+oI279i+Uvp4kEzxct+upnkZBLSypWcombLSn5vfZpNJfPqNxjqamf7hhx/GVVddhd/5nd9Bp9PBRz/6UaxZswY/+MEPMHfuXADA7bffjs9+9rO455578PrXvx6f/OQnccEFF+CZZ57pnSp93XXX4cEHH8T999+PRYsW4YYbbsC6deuwa9cu1GpFu69fvx7PPvsstmzZAgD4wAc+gA0bNuDBBx8EAHS7XbzjHe/ASSedhEceeQTPP/88Lr/8coyNjeGOO+7oo1VszBgbGxubsNyPIQ4dOoSRkRF8dPRqzBp/XURssQpPRPbT55yVkbMAa/nRvHJMQDHE1Nhx2UqdBvcJoNergGoAyt9kshPTEBSy+CYJqh3izqsyAQ5NGoOcFK1FTIvK09pWC3Gm92mmEmlsFFqEVq+tpBOc3f/SM48RLnovlV+qQ7dXNz2aMCW6i6aVFjhKXLTNBi/POjumyriUIgI5LHKS6zRP68vrqvk+aX1N65vWvBi2sy+DZYKj1zuooY2mMN7luYmX9/KhFv5k5C6Mjo5i/vz5Yj36hVuX/hLAnD7yOQzgA0BlWX/xi19gyZIlePjhh/H7v//7GBsbw4oVK3Ddddfhwx/+MIBCi7N06VLcdtttuOKKKzA6OoqTTjoJ9957Ly677DIA5Tsov/nNb2Lt2rV4+umncfrpp2Pnzp04++yzAQA7d+7E6tWr8cMf/hCnnXYavvWtb2HdunXYs2cPVqxYAQC4//77sXHjRuzfv3/C2n7amLF8lXvHG0h14Ro3q7i0DqFqN+XgsVTnPvtEVgk5O9dwVzi57m6WUp8uauXnsrWlNJI5gxqmXFouQ5nOTyMbtgbzRw0Q3R6B8OtXtoV8BouUMwCxH9NnK92T+rxoW/ht5ZOcmDGPQjMl9WNO0sDHrtYGPOpSa6eUMVTF/F3lnlQZ+TXdd4X2GXtuSJv34kTdypf2qTKfenD91YRBmbEOHTrk/bVa8vvmOEZHRwEACxcuBADs3r0b+/btw5o1a3ppms0mzjvvPGzfvh0AsGvXLhw9etRLs2LFCqxataqXZseOHRgZGekRHQA455xzMDIy4qVZtWpVj+gAwNq1a9FqtbBr164k+atg2pixAFu1HPdj0MM2c9T8KRO5tkBbqEGPJhmETGVaf2dXFdpOmEZIufLod0sufg+9xn+nO3grn0HUFUgjo0Ufq+aQS3ep/B7ePyWzhQYevQjIJ1H3o8njz4WWzdPR8ixTTqxMqTyp3CqwTKh+OemaqSqQyAEfZ1wW1wc1zQ6HpPnUNhZAWEdOhFKeYbkJqKv9Rb4vlHMyTVcU/UZjuXtXrlzp/f7xj38cmzdvNu8dGxvD9ddfj9/93d/FqlWrAAD79u0DACxdutRLu3TpUvz0pz/tpWk0GliwYEGQxt2/b98+LFmyJChzyZIlXhpezoIFC9BoNHppJgLTguzQDp06ocQGAb/OF+lcSLuffD8DfeBbJrsqyPXjCMkLNxX5kzGfiNz3Luq9hZZDIkaxtqRESCdL4WF0VHWegqrtnWp2oum1a6nHEFjgYb/9kBz62ZEXasqx2jgkSd0ocaGEiWp2ef7SQt9vu0nPpCpRjBN/nQSE48wnK3Sc0d/oZ0nraBEcKhOdJ2P1TtsYymlywtKPJenpF3v27PHMPs1m/F3qV199Nf7lX/4FjzzySHCNvwR1bGws+mJUnkZKXyXNoDHlyU7RifVw8dy88nbF6ZMYNwUUv6U9ntSJg6unqyzA0s5aW2ik+yjKiS/thaqu7WMTWTlh60RHIpfSsx20Bkt6TnXSpil9y0qjaQ/c71UIj2ZOs5ASHm1ds7SqWr+RSK52j+To7iDlHwMnFHRhjwcO2M9fG9+a/FY0W1kWJ0SWP6I/jiTTb4ofoK8xGrzZSdPEWu3K750sDEqzM3/+/Cwfl2uuuQbf+MY38N3vfhevfe1re78vW7YMQKF1Wb58ee/3/fv397Qwy5YtQ7vdxoEDBzztzv79+3Huuef20jz33HNBub/4xS+8fB599FHv+oEDB3D06NFA4zNITBufnUFBm5SrqKC5LwO1PUu7sZifiy23fFBitb8uCY8tz9gpvVx8jw0/vDoMpaV/ca8XP/RcrmvcgTkVrj60Dbn/x2SiCkGnf7HQf4eq9dJ8QbTFhl+j3/0+VPYNqd9I4dr8Hu6JpcmXUvcqJFiqL7/O01l/ch6hLyIga2A4IemIaXwfMu7HFl6r95yE5b960HaSzw3XLGlkxLrG0x1PmOzQ87GxMVx99dX427/9W/zjP/4jTjnlFO/6KaecgmXLlmHbtm2939rtNh5++OEekTnzzDMxc+ZML83evXvx1FNP9dKsXr0ao6OjeOyxx3ppHn30UYyOjnppnnrqKezdu7eXZuvWrWg2mzjzzDMza5aOKa/ZmchOHlt4pJ2m9t2KRHG/VVWlp0SGWLKG2oJyt6xpYrSyaCitplmy6iktVBZqgqxaGv6bbybx25Be1/KV6unL3vHqU5WcWe2llR3Ps1zOXD5ViJb1PeVe2n62ZqgMKqDRY5bWhF7jGES4vRTkwMuW0K9TsEbGaRtwU53mw1N+17V7kslLm3dzNafSvKk9Nzoej3eH5X5Dz3MX7quuugpf+9rX8Pd///eYN29ezzdmZGQEs2fPxowZM3DdddfhlltuwamnnopTTz0Vt9xyC+bMmYP169f30r7//e/HDTfcgEWLFmHhwoW48cYbccYZZ+Dtb387AOANb3gDLrzwQmzatAlf+MIXABSh5+vWrcNpp50GAFizZg1OP/10bNiwAZ/+9Kfxq1/9CjfeeCM2bdo0YZFYwDQgO8DE22Tdwmc5veblJ784kcMmL2mmIes33m5OrrK+/S3SVSNPcsqLERKtjNzrNplKO8qfp5fORJFg+ZZw342JHAd+ufFyYqaTop/JZsCq9bAWy37A273fiMdYJJUti7xxsdpMc/aWNj7UTFyaYPW+aj2zFGLC65Ayn6du7Oj3yRobxwJ33XUXAOAtb3mL9/uXvvQlbNy4EQDwoQ99CEeOHMGVV16JAwcO4Oyzz8bWrVt7Z+wAwOc+9znU63VceumlOHLkCN72trfhnnvu6Z2xAwBf/epXce211/aiti655BLceeedveu1Wg0PPfQQrrzySrz5zW/G7NmzsX79enzmM5+ZoNoXmDbn7FATiIO127J2KNLgKE4k8Z3DclSrsl+J70xoaSb4jo2nj5EEy4E5N2KlX5VyFbJhlZWzqPE+QM2K0nPoZwcZM8fRPqhps1IXs1TwhYk7smoaydQFOLYr5+lTIPX9mAOtBN2JPezrloOzNO7o3JPSZ3h7ShFNFiGhaKFhjmd6No3U7nQcFN/9tm2hIf4uwZ3bZMnO+zfv45YWOhc0r8k8Z+f/B2BuH/m8BGAdqp+zMx0xLTQ7rkOnaDi49iKvnDynX24K0aJCqOyx8ilyIhIo+onUkhaX3EU4tnPj12MagtjiwlX9fGLnpMMRn5gZrt+IN1eu82mQnmVKH63SlyUyQuXhkEhP2J/5Sz/jTrGpsoam1lDe3NDkFDKRqpXgR0Pk9g2e3oqEk7RXYR3885f8a/rYkxzcqWk6BZy4pxJRzek9NtekmtQmE4NyUB4iHdOC7ADl4E7p4FUjlTRVrjWYqyxEVvkW4bEm7ZSoId4u1u6cLn6Wf5KEWEiz1GZaehomqyGmpZL9FNKeWWxB76IbPLNU2XK0SlX7mKZ91LQdmkza+UlaekuzoeXPiZYUVm3dz8tPI5Lhs5OIHyfIuWSuKqR2kPJPNQ/STRndGNLyrPkz/egPew62fMn4ZmMqm6eGSMe0ITspCE05ugkrBYP0CbC0NHSiGtS5Eym/x8xw9Heuwre0IrmmISt9bKKX7wnrFYbu6+HAqQtsjhx6mvgQzm1Pbj6VytF3y5q/URhybMllmXUlOXjfz9HsyGQ2NI3lgoag18f1LbQ8qY7axiStPEnDVUcbjcgYCbWflJSmaEc5YmcVSeNHm1stjbdWrvvcr3Z1olAloorfP0QepnybFQMorZrSORApPglVF7fUiT81jbY74+aXFKQc5KallSa4VBW+dOhZDFU0Mxb502R1n/muv6oWK/dQvtB8xwlI+HxzTTdVr5WLo02KYqTXIlg8vxTzZaomUoK1eeB5WH5XNVbn4neNeFWLugxNrX7/dKQ/Josrnz6nlPGVWrdYHXg/6rJ+kjqPpUR9HktMdjTWENOwzaTJgHv4S4PDLY7+TlKePFLlkH+P76pz4UdQlPmnOpfyvHx5/ZNvXd4cdPLMmYBiaatEvzlZJcJTxeE4Fjlj5ZnriMud7HORs+BbjrdVoflDATa5iMktkcyJWuQo6dXKD++R/WgGZWJJ0W5q5cqaLVlLBshO/Pk+SClay5AQa/M0/X2yz74a4tWBKU926IDRVMTaAKKDmJMDiTTlgE8YlpNf7m49Vp60YNqRWrZjd5pvQ/UJKKa2joW98kXGtbU0KcaIGz/nJ6aK7yrl0LSpbSOdy5NDViStSFxb6Pf/eNSVrpHzNaeheTFnAUyB5bshm3zKjYwjllR2nm8q+FwhPYeYbBakQ/q0yC9p3koharG5b5CbM2kTSccuL0OT/3g+b2doxpp8TPk2o2asXL8VSb1L8+mH8AzaaU4jL5zkuLQ8IkKSj0462jki1PE0lfRYBCAXOVEgDrR8bcGToEWDWIiRyBTZ+eF0OZoxS/PFTUmxBcuKZuRIlTFmBpLS6mXKWjptA2GR5JgGLbf/5swVg5gb+lnkpQ2CBDqWY5pdB6kPVd0w9nvvscQwGmvyMeXJThWfCG3npREeijyzRPr7pDQ1snVf6pk7mhzSqcFSWd0J2EGlPreqpCln91z18MNY34idn8TvoeQoxZme74qldJJPkgSnGdXaLMXEZkedxZ9H7niIPTcrTN6qa1XkkjU5jR25J2mBuRlKK9d6BrEzu/jmqCw/Pj9KedFyJT8wiyxxf6OcuXOIqYspT3YAfRBbqtkO2Udzn5d+IjSAcMKKfXe/5fi5AOEExT9b5/hwfx5pgnMoCWG8XVLPMIqVlQopVJbmNYjJTzNFUFRdkK17Y6YgfkYQIDumWu1A69ZJbC+Z6OW/KJaWz9OkEKN+Fjmpv0t9rx9TtlWWK2+Qm6cUObTfNBMfHVPp5li9XS0yLd3D+7XrpxoGNeb7xdCMNfmYdm2mHYhmmaXCnYT/VmMNKREDVIbcQwRjedsmFF02/STZ8CTfQfgs8TLo/1baquCaDnmhCbV40v1avoBMfiRTS86zjoVX03TlshQSHC5vjLB14RzL44uF1D7aJsHKyyJysXuldDEyyhd0S1apn3JUCQCQ8k8z8Q1uKpeIBW3Dfp3kubk0Z3xLZnMacFDrXe9A0modD0QHGEZjHQsM22wc3CzlBooUheWux8iMdZaMBa6R4c55KYfyxcDlt87JkYig+8w1CcW1PIfiuKyhA2YVUE2HFi5OndIl5/QUWIc4+v4QNmmOhaZ3UfNeUcLJSSz0mv4u+WjwRcKZsrR8eH8atM+Odm9KOl87K5Exe4OTUx5HatQffwZc7uK3tI2WJbNFoHRTtR/tRGW1HIH5eNe02FXnBB5E8mrB0Gdn8jGtyE7OgOILYD+HfUlyxE6bncjwSWqSS4UUdu/Az/Ho19SXsluuspOVNB08ckULh9bqI50TQ/PnGqEcbViMkFr+GKkn53LZrDRxjU76oX9SOklzIvnSWOQwBo3MpcjCkaO5cf0sZmKh/+cQ7Nhz5n1Se67hpk7uIznzYMoGRzIxA/05Wg8xBMW0ITuxyZxPxtLOeCIQ1w7lD3aJLPW3g46/biHcjU6M9kZbwKXfbBNJntYmJ/pJIyiyhlA31ZTaM91fwWonLU9ddn8xC01gtYAcUnBTr2Um4/mnHshoPSvpGt2kpBAYCkl+ywwek8Xa3AC6aYZqVnldUsxpMXlztVj8/jxSFj/4MnfOO14PDrQw9NmZfEyrNkvd5Za/+c0T891I9T/wVerhI0g9HbQKJO1CbKJL2ZXntIV0P/1sncbKy4otftIipB0pYNUx5xyRNBNnfDHUIv7o9dhzcbDME7mwfLpSfnO/cw0b4PftfhYwzd+qH0iaNVeWRQIlSKad2LPQCM8gMAiNNYUVji5pQ6Xfc7VHZTDF8W/OqteAmTP6uH8MGODjnxaYVmSHI81c4ptmYv4VKbtHyRbvXw9PaO0HMX+EnEVKg7VDryZjXfk9fjQ916zE2jFFxa59r0JWqWxSHlzbaB/UpxMaqY/x557q/EoPc0shh5LWifYNiajR8cWf/6AdS/txru8XVUlcP23AyUc/ztMpZUll9pNXqmnc7+udYHwcLw7KQ0w+phXZSSE3RTr+XpZ8X5TUXZplfslVD5f3yzvFqoQkhyxZJjQKrobn7a/5VmjaDH/X67dFir+EJSugn8mSs4uUyrfqavURLrNFnktZy51v6hEAVPYaQm1kitZJ02Km1It+Dslc9VN7B0V0rLOSUrVuDppmSDJl0TxidUkx/eWYpSaTMKSaDTXIGs2QrEva6YlEvQ7Uh5qdScW0ITspDm+aNsH9Zpmd+ADMIQOarJZtW5rouYzW5NkPeHRWzJySMtmmTDzcf4RDM79pGoOYacd5lTg3YPd7bGGwok9ida064WqERyMIaWcilf1Q8n2R5NbqxjU0/S4skraN90FtPGrgm4HYPTlE15pTePnFNW2sy+2YO6Z5BJNlopPk1iDNhSmy8A1aOJZ9OQbpuHwsNHwz+zRjzRwbnCzTBdOG7ABpL8urgi7qaKKlTo7aQhnmwycy+0Rb6V46gaZMnrFyNEjaIX0HXw/qxsu2FvyY2YreI5lp3GSqaew4JHOQ+z+ujdDrLsnMiXAVcD8OvV6+FqLQ1ljHBITtkOqX5r5Lv2llWQSDaqUcUl7nIBG/VI3ZRCGF3ObIlhJIofvF2NrqfiMr+zVl5d7fJX361ea0PMTEYlr0Bn9yiTmX6j4QFjoJO8HUct13y3HY8rnhmiFpgouVnxO5YoVAS5oL30Fb3smlhOhK92kmM8sHyHpu1oKq7YZTNTUxrZi0S5bC2jWix3/jiGmodOIRN4O5556zUMWIJydrvL78WWkarlyio9dRdlDOz0fW1qTIaGmjU+SQzPP9kgTeDimEJcU0moqcvI4V4R2IGWuILEwLsuMmt9yIolTVe1WSY01+sQnZWuT5vSn5aGfDaPfz/KVQWQe6oEsqeV5+cc3W4KSTHLuN+edUaNqmHLMU92uREDuPyUHStHGTnORkrzmTas6d/DUBOWYpLQrHT+Of1svTcqKjkXLLlEefUUqIeCw6TGrXlAWX97ucvm2lSdmw6Run/paEQQdXWOVU1ThZWvHJwswaMPOEPu5/ZXCyTBdMC7JDYS0I9Lo0mVp5Wkfppw4iy2cgR/OiaU1iZ7Jwsw/3+aGTunRNQ4qJMMd5NYfIpTjuaqCTKW3PFKKjETnZkdWqg73r5iHWGonT2sDacecQGUtLJ8ntfuM+I1zrZz231GeqyW+ZRy3yUgX9ayvsA/0szaikSbVkiml+tHu15yH7teW/iDf0u0uTSyv3WGl1hjg2yOKWd911F974xjdi/vz5mD9/PlavXo1vfetbvesbN27EjBkzvL9zzjnHy6PVauGaa67B4sWLMXfuXFxyySV49tlnvTQHDhzAhg0bMDIygpGREWzYsAEHDx6sXksM/iROt7B1ES729Fou0aGfrTwkIkP/6L0dFK8VKEhH8ddGs/fXRQ1tNLz/u6h795Xpiu8tNL08fdnq4ueyTlZ6mTBI19K0CXJelMz2Y360ynSok5aXIMkg+aiE92mnOqcvRBp8Hy/dnJUKKW2K/w0fX3xs0DT9IFaXiTi7hW+orA2Wpani4HOJ1E4pREf6TvOL3SunqW6uqnqOjqRtPRbaHA+1AfwNkYWs7cprX/tafOpTn8Jv/MZvAAC+/OUv453vfCf++Z//Gb/5m78JALjwwgvxpS99qXdPo9Hw8rjuuuvw4IMP4v7778eiRYtwww03YN26ddi1axdqteIJrl+/Hs8++yy2bNkCAPjABz6ADRs24MEHH+yjor7fRsrk349pIyVNziFkNB331UhRs1sTXcpuKHVSqLqoavKl7GJj8sQWikEuZDn1r6GLFso2CAmPTRCAkCRIdY3JJPlUVD2VViJ6pdaGviE7DNlObTuqWZRIf2o0FfdZssgXvz4o59cUokPTUs1z7jgABre4p86hg9hkarJrz8siY5Z2c1KJTx2ZqgaGoRkrG1kj9uKLL/a+33zzzbjrrruwc+fOHtlpNptYtmyZeP/o6Cjuvvtu3HvvvXj7298OALjvvvuwcuVKfPvb38batWvx9NNPY8uWLdi5cyfOPvtsAMAXv/hFrF69Gs888wxOO+207EpySBOMZr5KmSSqDvxYSLbmQBoLd+bfU3Z24WIXmiW0NrAnaP4iwP60KNZz0HbEKVqSqvAX8DzTSxdxp9bYdU0jxL9Ldad5a06kVp1SF3wp+suKltK+x8D9xnLyGLR2T8qfzzG8bBpQoGvTZMJD5yn6LF3oAE+TIqckKwXvF5PRhkCcmKbimJqxhmRn0lF5e9LtdvHXf/3XeOmll7B69ere79/5znewZMkSnHjiiTjvvPNw8803Y8mSJQCAXbt24ejRo1izZk0v/YoVK7Bq1Sps374da9euxY4dOzAyMtIjOgBwzjnnYGRkBNu3b1fJTqvVQqvV6n0/dOgQgHKxi3XsFNXxZA6OQTv4WbKn2NQ5UbLaS9ZIhM6m7nPOLtlaBKyycqKqHFJ2i7SMVHBfoKrQTHBaW+cQK7eg0IXXDlGOjw1NC5WyYA5icaN55Z2RI0eepWotJMKoPSPpuyULJzDuGteYOYO2JBO/FsrfUZ+d9j1Xo6PNA1oftwjtIMy4Q0w9ZJOdJ598EqtXr8bLL7+M17zmNXjggQdw+umnAwAuuugivO9978PJJ5+M3bt342Mf+xje+ta3YteuXWg2m9i3bx8ajQYWLFjg5bl06VLs27cPALBv374eOaJYsmRJL42EW2+9FZ/4xCdM2TWzAN+Zu88TobZORUooa6oZTCIttK5WaCg1YXEHapo3n0z4bl4zX8TOeklFbIHXJrtUEqyRXY0gSLLE5K46SVsEwfIT0pCicXL5S2Mnfp9OcrT2ii22GijJiJkA+4FkBizKlxdwS54qph9KesJ5rJzLQmLVNfsJlYuXRZGq3ZbysQ66DOdh35RvaedTyueasEnDULMz6chewU877TQ88cQTOHjwIP7mb/4Gl19+OR5++GGcfvrpuOyyy3rpVq1ahbPOOgsnn3wyHnroIbznPe9R8xwbG8OMGeWhA/SzlobjpptuwvXXX9/7fujQIaxcubL3vWZ0aD5pp6DK4OpnUHHVdChPuDOyTCz8cwzcjMZ9JlwZUnqKlJDRahOXvvNPITraibF88ZDyp79r5C3l2afUNbVdUrRHVRatHN+emDkvRQOXYhKkMltaSutUYJ4fBX+uUn11M6B8JpEmQ78RYJrZMTxOou4RHc0MJiH0neFESx/jKdpCX+vkE7EuK6uK9l1KV9R5ErU/JwCTza+mO7JHU6PR6Dkon3XWWXj88cfx53/+5/jCF74QpF2+fDlOPvlk/OhHPwIALFu2DO12GwcOHPC0O/v378e5557bS/Pcc88Fef3iF7/A0qVLVbmazSaazaZ6PXXXySeKcKJLs2drSN29SQuqtBDQyclyaOVnokgLuCMxKROIRLykRYU7IGuLUo4q30JOaLfk2M0nar5zzPFpSJEtRU7pukRWfS2RfKp3+D3vlQdS/7VMEBrojl1zUq6y8eDyyuQ+PELBpeHIIR/a2OYLvIbUsqo4Joe/6889Njelne9kE0sNWluV408+4iNmDtfyG2L6oB9FGoBC40J9ZSief/557NmzB8uXLwcAnHnmmZg5cya2bdvWS7N371489dRTPbKzevVqjI6O4rHHHuulefTRRzE6OtpLkwveqcPv4WsEKFLV3TlqcRqOXEWdzk0BcUdWeQGP5RGbEGiYu0vv/ly4evgXhqtz8PZpesHyxR9PQxeblL9C3ronW7/oxzdAaql+8paczv3vMjnWDzHwNwH0T0pr/3XIvfIflacqOEEs+2lReqyP0FpKeUqQ+iTPWeu7KYhp6rTnnDpXAPDqLB+LUbZfeG917VQuaZbuk8ay1MOOKeoD+BsiC1lN9pGPfAQXXXQRVq5ciRdeeAH3338/vvOd72DLli148cUXsXnzZrz3ve/F8uXL8ZOf/AQf+chHsHjxYrz73e8GAIyMjOD9738/brjhBixatAgLFy7EjTfeiDPOOKMXnfWGN7wBF154ITZt2tTTFn3gAx/AunXrKkVidVHDTPZb7q5Au9e3i1efkKUJg/8WqqH7ez1FP9B8UlImENpm0u4vtsuXtCpdYTKWZJVk1iDJwbU7fHHx6xY/YLJ/R1t5cSt+66htSaFF/Dk00VKvxeXT25mSnJT7Uv3nUurMtTwpkPp2P5onfi/XmqU6Kcc1dyWhpLJQTa4sc7WjB3KhmbwsrRz9zZoHj+UcGUUd/Zmx+njVxHRFlmbnueeew4YNG3DaaafhbW97Gx599FFs2bIFF1xwAWq1Gp588km8853vxOtf/3pcfvnleP3rX48dO3Zg3rx5vTw+97nP4V3vehcuvfRSvPnNb8acOXPw4IMP9s7YAYCvfvWrOOOMM7BmzRqsWbMGb3zjG3HvvfcOrtbjkJz13P/Ull1OGJJzXzi5aJN4P9B2UBbB4HtH6X4N+gQShrhLe3pJTnnBKE0Zda/9w8/0e6x9tTpL5jJJ4xArQ16kdaLG68P7lfbXQAuNcXOUpSXhf1LZfp1lvyL3DLjWJaa9aYxr2lzeTbQ8jVyoCQq1N1wuTeshpdc1Q9XHIu2zadqqbu950T/XPvTPpZXy0LSWvhatM35/2d5N8r3MW35mrn2l8UW1UVI/kPoQb3P6rOLt7M9R0jyRupHio8GeH8vAi1jaqYDvfve7uPjii7FixQrMmDEDf/d3f+ddn8xDgX/2s5/h4osvxty5c7F48WJce+21aLfbE1HtHrKo+913361emz17Nv7hH/4hmsesWbNwxx134I477lDTLFy4EPfdd1+OaH1DshXHdp1UMyE7Des7DopUx+WUCC0uWyo0Wd3vTj7uhxNrL/47XaAdeGSFlZdDbGLSJlnuk8R3udKEbZeTbmpKaR8KrgWSItus/kDJhASpLdzvXK6U9qgh1LrF7utHI0rzCJ3z+zMB5tzD68CfiTS+KamUo/hsbYWk4XSfpecobdQkzYc2pnk6HvqdQ3A0rZG0SXJInSPLe3Un6eOC1NTQn2anAl566SX81m/9Fv7oj/4I733ve8U0k3EocLfbxTve8Q6cdNJJeOSRR/D888/j8ssvx9jYmMkL+sW0tfzFBiQdyHQC4I6Z1cqu7hyXQ3iqyiFNtHSy4cRQcmpOhbSwAnbER0p+GqSdLH2+0sLAQXf7xf/xd1fJ+cSdVmmZtG5au/lll5qqFND+wBc5uoBKfbAjLJxSn/Db2m5nWZuZ44Rqm754+bENQuqckXLNem5SPnTsAXp9eOSX1ge0vqc9Q63uXEOXglA7XG0ulMialL9V1qSHnDscAzPWRRddhIsuushMMxmHAm/duhU/+MEPsGfPHqxYsQIA8Gd/9mfYuHEjbr75ZsyfPz+/cgno20H51Y6UhYAOqJSd9LFCutZHdsROyV92uCxNGU5FL6nNi/vCRdLJYpm7tN95nraJwcnmq/1LU0OrtzBoDqS0vu67L4tskpHljrvH+iSMmxLkepbX0jQ//DeeB5dF8ouRFnOtTlK7Oegm1zSzpPa7Zurz62I/DwtVHIz5/9RkxE1e3BzIZSvNhi3Q5yX1gZjplN9P85DMYlJ7a6hKdFJJiT+flCb2nLKmM9yhwK9//euxadMm7N+/v3ctdigwgOihwC7NqlWrekQHANauXYtWq4Vdu3ZNWN2mrWaHgquSBzmxcVBNAlfTUsQclF1eQNzcYclgyRmrg/vsiEIqePt2hHbQ1PQp8sqLeLm4aZordy+9njJBWk6+g9LCUXnCxdLf7Wu7c4ssSpo0jSxJ2p8ufKdaiUxIjreaeSJlHJb+OvarMGj50jUrrZaOX5f6cAr4fEBJRsp97rMkKzc1OXAtIQd9TpI2MZQlpgmNLzNWXVzZvlY9zUwq4ZhpcyhqGMjq694U4BA7gsXCZB0KvG/fvuAYmQULFqDRaJgHB/eLaUd2JF8R95lPxoPW1OSad7TJOb08ffdsTZbSfXzBzNEgxKJLeNoUU5R9PX4KL88jttBIBJXnKX3nZeWSuNBPh5vdQoJhyUKh1SmGFPOHKz+ljtxEKpfZ/wZEeza5hNZ91xZNrQ+7362NRjfSDhRaHq5OmqkzVmfL5JbSVjnkJpYnnVvqTI6Q7L+KNDj9+uyMFf/Rg3MB4OMf/zg2b95cKcvJPBS4ysHB/WJakZ0YgbAWwxTYg3bwh1jF8tMO9pKdseMLZY6PiUOpVk4N7Q8PexsUaL7aZEsXGy06JNdZMhVa21KySJ+BTWY73uLq8kmVgWtqinz0M1CoTw+9xjVusT5rPft+tWbS2O9nTLp8qvYF3u/8/mm/yJcjl5DkpqdwhjT9+mDGRormOWVzOuhN60AwoLNy9uzZ4/m4VNXqSJioQ4GXLVuGRx991Lt+4MABHD161Dw4uF9MG58d6u/Qr+ZgEEjdTQ5y0bf8E6wyuZ+OBDfh01xbaJIW171pKHJD5FPAD0iTyuehp5zo8LS83nb5cl0dQlIQHgIn+Uo5+It33fvf98IIPZHodV5PKh+VS5Y59I+iodHuzwrNdr4pWk+RfKiqYNBElcsj+VTx3+n/XdL+xbjxA9XLlmqKf+4e96d531QdR/R+KT9rbMfKrSKTZb6sAjpDvdowf/5872+QZGeiDgVevXo1nnrqKezdu7eXZuvWrWg2mzjzzDMHJj/HtNLsAOlEhk7wdDetmX5SBy230Utl9ru4SyY5SRWs7aJT6qbJaJ2VkQJuEpNs8zmTnL9DDl8TECMu3cj1fqHVS9K+WUjx1XKgfZhq/1JNiJqpxTe3ddQFRNOUpchu5WNpK3KfXcq44LJoZMa6t0b6IX8WZd7lZkHOw/Z3SYGmNeO/U/folLy4JjXFpJZSD8tU3RXy1DARGuTEgid99X3xxRfx4x//uPd99+7deOKJJ7Bw4UIsXLhw0g4FXrNmDU4//XRs2LABn/70p/GrX/0KN954IzZt2jRhkVjANCQ7KUhRn0q/Wzt3/r9lt686AThofiV8MUgx21maF0ra3MLJVfMpqmVOyjRNB6+PQ6p2xckoLSa0HE5G+yU5MRKrOe1yX4SUPhDzj7JIqtQu1AxWymuND98RXEqbS+q5v9KxQKwe0iKeHqEUjjFqtuRER+qPKW3Dny8v0/pOZaXETIN0PeavlAPNgV3bsBx3WptjQHa+973v4fzzz+99dy/Ovvzyy3HXXXfhySefxFe+8hUcPHgQy5cvx/nnn4+vf/3rwaHA9Xodl156KY4cOYK3ve1tuOeee4JDga+99tpe1NYll1yCO++8s3e9VqvhoYcewpVXXok3v/nNmD17NtavX4/PfOYzE1r/GWNjY2MTWsIxwqFDhzAyMoKPjl6NWfPTVHuxASFNJnSSSSU7VtpBge6+ONnR6qHJxv1u+ORr7d6luhffQ4Lj0mkmmhRIO1EOPkn6h7n5miU+sVvEK3VCpZOvVV9pUUkxCcQWNOv5U7JSmJY6PfLFyay1oLv7XboUuSX5Jd8VKS3t41o7cFJrOeJKyFkwtTIktNBEe9z8JN3TGn/HnINEPnMXcx7Bl6pl7qLmycP7jXTgqDbWpfpoGx3qJ2cRsRYavX7q+mdqtOTLh1r41MifY3R0dMI0DG5dGn0bML8PsnOoA4z8b0yorFMNQ81OBnwVftzx0lJj83tSTEdxDUG3R0Ss3VeKpiKFNEiySd+tiV+a3KrYz12baIuL5qztfksJdeaQNGYphJkTnZxFN2bq4Ro7B/9oBcscU2p4auP3cKKjm2E5ibSjvSzy4mTh1zUNh+WMLWktQhNcnjY3NTospR+7949RcxR3SI9rbQZnwtMQM19J6fvVqEgaxymBE4C+qvTKoASZPhiSnUxIi3iKTw+9RzsPJYbYhNdlE3zMr4bKFIO1OMRCz2M7T8lPZ6LUzhYR0DRgnAzZEUfphIkTO9kUEhICK1opFilDYfUDGhVEf5d2+jUlrZReu8bJuVSOS0dl1xZUy9G9igYnN6xfIsCWBrRJzqnifcry15HyldpVut8RY9ksFj5za06jn6vObynI8ek6rtGvGWtK2mMmFlOk50w+tAHuwCdh6jPivsegaX5i99KIiRzQRd5yEtZU3tZCn7s49BtpQbUYsR2mpZUC5EPWeJtUMb2VpiKZLMXOQwrrUaROCffPOftIIw4SwU9ZjCStS0xzw+Wg/ZtqkFK0IBpiplYrLZU97Bv2+KAa2XLkluRbM6XGQvTdPW00ArJYylzvtZqGFMdxKwxfIsy87/BjIfz5Tn81hi6zXB+d3E3cBmuI4wNTnuzQSaTKvQ7h7sl2IpTut+zuObIAtmpa2llZZiU6wUqImZX61VClmrxSwEOAq6q/rYWJf475JOhlhO0uyW87HMtn39Bdu2QKkRan3Da3Ta3yKx/4vZrGRsvf/c7TO3KQogHpZhC9HNhma/2wRP/spKJ2TbRJmq5HRmLjlRNIV0YXNTSCtLbZu9FLU/aXNppef5I2QdJ86aCZGzskP4vg09BzLjPXSNLxyPtGjqlx4BhqdiYdU57scGgdnyNuI7fPmwHih5dZBxzKZcqaF3qtuN4N5NA0J/4JOPKx+5YaXqqb1XbW4l3F2ZdDuq8q6bHMN4OYIF0e1vOfyNBYzb9HS2tpXSSiIWlaUk1XWh/SzFjuu1UfSQMljVFO2KSw/NgGahD+KhqJsAiyf39BBspFXR53BXmpAYRgUXByKY0nR9hqqAUvjuH+cinaH1p2WZ/09pR98/yTpXPzHChqGPrsTDKmHdmpCmvyKiYV3ctfA580UrUnKT4FvBxJpe5kpC/ItPLQwP0CUkwJGtHrVwPHIU1wqcRH0thpC3itQv5AAw200ULTbHsO3m+0iC26SHFoZg1aBq+jZR7jjqT8fBUH6fwYLpMlFy2fPhvX/imaqi6TgTvAhn3S1dvXQMaes685jfsulWasGvjiL0UMujq3e7/LhJOOT66N5GH9msm6/O7mDN6OfvtbY1LSKlbVtMV8hIamqSEcpi3Z4RNDlV0DHbTSosrLo3Blp2hOUnwHNL8PrQxJuyPJZ8lF01m7cmvB4wuGdbBd6hkhVmh5ivmQpuFhv0X+tn9D6jlANLyb/paDVL8Wlza1LdqQ+6xFknyTgd8fLYdh/tkiclwWqw62T0fay0PL9PnaAMu8aY0JGrZPUZIh2VGep6V5a8craOZAyadGyz82pig5TzUzS1qtFG2aBkrmOIGLzb8TgqEZa9IxbckOkKaBoGmL/+VJMuYMG9rwZZu+Fp4dk0NznJXzCMuSFhuNRPDfnQOkvfOXtQQaLIdHXkaMmOWY2Sicf4JbVK1JsVyI4uVTWaVItBi0Hbwkv58mfmZPbDGx6tIlCzFQLvCp7R2Wl0Z0cglsFXlSngtfRK3Plkw1dNEIjEElpM1JSt50IxHTIqf6A4XXZf8fy4TlkEP0U0zTEpnh8/MxNWP1s/oOzVjZmBZkx1qkdG2KHyFR/Cbv1Io08XM7Uk1NKfJp0BYAPx/upujfL6m9rfR8gkvR7ORqW2JpU81mGjQ/BHrYm0sH6ETZWnSktDHzIS9XQq7vF73Hyl/TRGhanYbnVOufRh0Dbc8qfkqcaEqLvUTIJfn4GEodg5rGoJRR8kkJTyQv0s5O0hKnjk/A1prS/FLylO6T2rmc1xqivP4zSzu6gJoQpbD6XDJTOjxPIvGpoT+fnX7unaaY8mSn6MBp1ZRs5NIA0EIkKeRJVJbDsv+naEHk+6o/WrfAc9W2BEqMUnbauWfBxPLTyojnKZ+bIy2GbTZRuwWhCtnhGrY6WQisvNrCb7SMQp6885NiBEeXW76vhq55XsygQKPMyrL093QBvtm4/C393WMpsNooFo1F74mdW0XBCZa00fA3IvF5IUbKYvJImlZLs+xfcyNL1iI30QqiwWKaXYpjpskZ4phjypMdB0k7k3J2BZ88tOta+LmURwh/MdXs+TnaEG3SoZB2WW5xpxNkc/zN1Fo5EkHQyqKaoEEh5nxsOURyTY0U7t1gYcBuMYr7rdj+CDS/lLrxey3EzBT6NXl8xMvr9N5YTvOJmSNpOVwzY2kB+NkwEsnk59TwxdE9Q4lYWP0oBRLxSdX65fYJDskJ3JovbC1w2ZY5z1DT7kqk3AJ9ZjVBhhQTnebDNxHHDySjX5+doRkrG9OG7ADy7s8hZp6wIEUgdIQFvcogl75LZMHSTkihs7SefAdOJ5WYirc09MlvEqeylXu2WlZbhGWmO5dqmhBfftv8YYXxS2Vp+fFrsR28tdhbsA5cs5y3JaSOBbdAN5XwZQ5OPGNyxNqCE4QwOjCMYOuiPHcmx9zh7teuAfIp25q2Ina/LIvexyjcWGsT7WGO9tFdTyE6Lm2MXEllhf+HhxBqpBGQNgVhe/I5jd87kcc8BBiSnUnHtCI7gL3T5IMp59hzaWGkedA0EjQtS8p1vmCXYaFt8bqmRnZ5dlHD7PFJkkZnWNqd2ORGd3wxrU6/UTQxk0tM48U1ANwnJldrYj/H/l61kYJUv5kY0QvTyxE+FlJC5jXZtDEgay1DHzr/1RvpJjwZbW/8WfnwCCd6b8r9ElI1cNQsFDPd0t/5eLW0IVxrlrLJk9rOCtKQ5OsijK7ipJdHfw0xfTHtyE4VWIsFP/WTkylLVdqPZsmaoMJywt2StPMEZDMTJzvSDjq2O6SQVM+0XlW0Pinh+bxsKS0/9yhmTkkxJ2rfYyp9ftZNrOwYcbPIqvRZOj9Jyre4VgOECCLrXB1NBgnWuCgXPftlrv2SRl6m9Jl/p2VqxFE6sNACb4tY+vA5hj6CVkQgHyMSUZLals6BoSZM18S49rCJdqhNt2TWys3V4g8MQ83OpGPakZ0qviJu+Zf8MeigogdtyQuPrLItPqc7JWoypv0m7560nRyVTdKYOKLTQjMow0EzsUluufz9ThKsQ+1oGSnn9dCFxl+Y44uJRJx4WlpfvV1kE0PZX3QiF4sUix2yp+3CJdLL85DOS+IaE4tIDQr+Lj8+pcUWSgn9mKRTxra1CMc0P1I9+Dzlk145eIKOH+scHs3PaZDPV4ua45tLXlYuoeXtNGno963nJwxKkOmDaUd2UsEXPiu0vKsMfg6L3PRrrsix+aeaYfrxq6FICXm1kGru4ESTno7LnVV5/m73KS2E1o6cysdV/dxhm2tXJAIU8w+i91jPh4fmUiIg7bQl7QQ/UFHqG7TNu/DHhCRLVVhaG61/WVqwfsypUh+JaTIls5m9MQrzznGo1TYY9EgAXrak/dPGigTLrJgqqwQpam6Q5OSYaXeGmFRMK7Ijn+PgHxdPdwz+rrTuDUptB58DSyPgZNHKi01KsXKtCCZumgojX0rtED14r8y3IchnLzwUTksktUmKxsJfKHyNg2Zy03wO7PNYwugzrl3w21F/f1QutLah5dOyNRmkfCQNFyWQ2r2ypkc/0ZlDW/RT24f3CausquZSTSuUa860rvE+yM+qAeIaDFvDJmtxXDrLZOjK1eY7y/QbyzOsQ3xOzZ13ww3Hq9SMNXQ/ysa0IjscsZN+3XdtcOQ44vH8aL6ccAHhZB0LhQ2daO1BLMXMUCJhh+UXZKYN3+zVRa33mgFuekklh1aobBUNgZvMOUnianlevi9T3kKlqca1hTs24fJnq/ULifRx51LNbBfK5LeDpAmQFjCav6TZshY8re3kMRMbp7ZDrZRHLrQNSL+LNB0DTmMWG09cDo208N8lX6cUTaymvbTv0X3QrLbjztW5iJm1jwmGZGfSMW3Jjr/jTBtI1kIRIzra5J0iX04a6SDAVKJE85DltQlC/4uHXOd+o7c0TY2cV149YiZBbZdLZdC0euWCFPoiaVFN1LnTcgjm91ngdZAOwqOQNEOD2EFbRFEbT5I5qEpf5RueWFm5fZaSB0kjR9OlajOsPk7bQm7X9LNocsdLSvp++stxRWqGOG4w7cjOoPxQUvJLHdhp5ehmLm23ZE2KlmalH/TrdySVz4kZT2eF4cqmy5DI6TKFTtn9HEaWc6/TkEmTtxWtEpJXXzOS6sSrL+pVibhtxpDaOkzjdvn5/iExjV3M7yYHsWginzB2vN9pmVX6XIpmJjRP6qQnt7/HzFLas3WfaX917divVsd9llwROuz/SUEN/TkoHyPr26sZ04Ls9LcAp92rn9IZtw9XlS+2a68yQdDFRLrmIGmN6KJlnYeTMqmkmgTSdp6lA3IK+EJKF5x+d4383A+pLVzZUhQcbY9+FwINmtYi7icSOj3HzC38s1YGNaXyemt+RDlmpX4hOdDGogGtKDsp75TowlhesTJy0lrEU3o20vPgZI6nr/LsYmQvRwM3YRiasSYdU57sFIMprZrcBKClcYiZT2KLa+oEI6m0Y7vQak6vaafuphyuJyFHtZ/j4yP7ZfCdq1Y32ZGy1GvkvZWcyy2F+FuTuEY0pfKlPPydq0+4rYVFy1Nyoo9pFDXZNBIpyabVS2obSqKl+2P1TenHvG7c78VKT+9z8mpHBrh60O8xkh3TIvULPsa6qAVvZZeIDv1cRRuojZGUulrztBZWL0XMTRhq6G/1PYZvuni1YsqTnargIZqvBlQlOcW9slnIwTqojyNX02CRHCBOMFMmSc3PRFsc3QSvnS+klRVrf0egJDJcRUvjFjo59Fp+PYq2cFKipS3MZdpq46JG2lN6DqlHJjSYi73kB8cJCs3bRfxVGS+yJkMnNzyNpPWh93MHb+l+jpyjJmLPTtaOccKjLx05aXkavrFLITb+3FULyuakNHXDOsTUwvBJj4NHRMlROaE5hPpB5C/y6btK7nfhfpfy0sxIuUhVh9PJmavmq+w4JTWzRmjS2q/j/U+hmYnqXlvaC0mqxo3LUPSl0CxFv3NYu12N8NDnws1o9P4UnylNBktDpqXL1ZqFeYW+WJo5jD/jJlqCb5O1gOf3Y03TxUkLldlPVz4ziVilyMTbgzsna/dIjtHSd6nNcuYeqY/ktLW2+eHnZtF8NR++Sd3Y9mvGGq7c2Rg2GYHl28GdO3OcXDli/gnFNX93ws0rNA03fUgLWy7pqGb3D30QUghPjj8NEG97bUG1zA1SKC0ljbqGIzQ7WZN9SDDiC1eqOj+m4eHtoPn/0P5W5pFmqkm5LvXPlPFTVXMpa++K3Gje2njhz1gzY1nPUiYQujnPyVDGZoWEILUtNKJUI3lL8015jz+G+DXrmAqurUwd59pYs9DtGVu7HtHRNkaxaMUJxdBBedIxJDsMVmhy7sDQyEhxzfZR4PlohIZep8ghKykTUOwMIB5ZQv2faBnWuSdaeTEzVwyWuUHyh3BtzSdu2Sk7/vw0k0XZNnm+CZZvVcw5U2uLLvzIF63PxhbYHC0Xvy+V8Li8U/qF5cPj/xaSO67lo47FkuOtllfsdykP+jslJDlRbjRfO/+4TxDXGmvp+e8p85CkJZI2F1L9LY2Z+xz3FTwGmp0hJh1Zb9i466678MY3vhHz58/H/PnzsXr1anzrW9/qXR8bG8PmzZuxYsUKzJ49G295y1vw/e9/38uj1WrhmmuuweLFizF37lxccsklePbZZ700Bw4cwIYNGzAyMoKRkRFs2LABBw8erF5Lgi6bPrQ/Kb2Wj15W3SRPg4yiyVMd19kfr38dLTTHPUvcawPq4yclF9foH82j3fteJ9fk61r5gyQ6KdBCTwdlz+8EdSr7jWays/5oHvy5SeX5ddL7dr9OrtYY8etc1MPJ6f6qjEtarlVWFdDcALAe20EDLdJjyz93r9QWsbbrl8ynXk8hrkD1M2t42/nXSrMy37TR9LGIKqmtOvD7RXneVF0Y337fn1SyUx/A3xBZyCI7r33ta/GpT30K3/ve9/C9730Pb33rW/HOd76zR2huv/12fPazn8Wdd96Jxx9/HMuWLcMFF1yAF154oZfHddddhwceeAD3338/HnnkEbz44otYt24dut2yY69fvx5PPPEEtmzZgi1btuCJJ57Ahg0b+qpobLKhaXIIjj9J+wcVHkvw8yUkctFGA2000EUNLTR6f+63Nprjf/S3hvhnLVCx6xZx9CdDfwL16ZG/2FDwhdFfNEuCQL9bfaXqAmCdi6P5JnGkEOxY+f3kwSG1eawv0P5F+yUnP7Js6YsSf84xkm3JzlGadXTNkbbY6yQwfD5+2zWzx5Amf2o7xgiwdJ3XWSIwWoQnR56GOvTPkdJIc/ikY0h2Jh0zxsbGxvrJYOHChfj0pz+Nf//v/z1WrFiB6667Dh/+8IcBFFqcpUuX4rbbbsMVV1yB0dFRnHTSSbj33ntx2WWXAQB+/vOfY+XKlfjmN7+JtWvX4umnn8bpp5+OnTt34uyzzwYA7Ny5E6tXr8YPf/hDnHbaaUlyHTp0CCMjI/j/Rv8jZs1vJg3ufjp9E21xYnPgZbtFOgUpToBh5IYckUBl0TQokp+KtQBa0VtSm1YlC1p+vDypLTT/kBqZfDnRcc8oVd7c/lNoyxpiG3eR/2oJWhcLKee1UDLg5y2bUnn6mKwuL+lZSHXQTIHuf2l8W4tuDmnieWj3UVkAnUDLpD6UjYb9u7ay8pBMmJqGRevjktmZ+3o10PLKoXLSMiU5edtweVuw52o6vrU5lcvG66I9p9ahFj498lmMjo5i/vz5Yvn9wq1Lo7cB82f1kc/LwMiHMaGyTjVU5ofdbhd//dd/jZdeegmrV6/G7t27sW/fPqxZs6aXptls4rzzzsP27dtxxRVXYNeuXTh69KiXZsWKFVi1ahW2b9+OtWvXYseOHRgZGekRHQA455xzMDIygu3bt6tkp9VqodUqz344dOhQIafB4qUBKy36vTorzeWialLUwjHw8rUyaYSNtEjzhZO3gWQeKu+XnbG1SZr+Xk4kdteqSnj4pKyHUcttQeFkt9LEkOtIqRER7XnE+lS4oKc5R2vXpQPvaFlVTK+WH1FKHbV7nTySf5GUVvoth/BIhE/Kn/YrAOgiPARRI2a2xs03z0jg40IemzJRioHWiT5TvpHI6Sec5Fn3VWmz4xYnoD8n4yybzBBABbLz5JNPYvXq1Xj55Zfxmte8Bg888ABOP/10bN++HQCwdOlSL/3SpUvx05/+FACwb98+NBoNLFiwIEizb9++XpolS5YE5S5ZsqSXRsKtt96KT3ziE1l1kXw0/Elq8nSFWghl+VlWRct5hbspa9fO75EWIGsnSReBlN18DjQ5cskSJYc0L5/wpM0+1sJgLWTuOi1fI54pSCU6Flmg6MJ/95sWbpzS9rQeMa2M/5t8qrCkpZGdy2tieg5OSLjMkrxWvrHFPdwUyK+LyEHMUR3gh0zqc4gWSu6++/nU1TIkWbgzt0Zwa5CckjWSrDuIvyowDD2fdGTzw9NOOw1PPPEEdu7cif/4H/8jLr/8cvzgBz/oXZ8xY4aXfmxsLPiNg6eR0sfyuemmmzA6Otr727NnT2qVAMSJhXUtxc9DKzPudJrn8yL9aT477q81bkrRnEWl69SpV9P4SH+54DlIoCnqpMZ0AZXCr1MWOlpGXFZNCxevg1TOICbxVKLDf6t7bdlBc9x04cy1/I+3ew1dNFha5+HFrxWOvv4zqgv38F7t0jTRFp97DDyt1WfDtKGfmJM7vC5HKMl1Dl21pfrTZ2ORJZqbA++LZY62Npj7J0oO8WWe9SBPel2CTwbD56i1P/2Nzm5D+Pjud7+Liy++GCtWrMCMGTPwd3/3d971yQww+tnPfoaLL74Yc+fOxeLFi3Httdei3fYPCh00svlho9HAb/zGbwAAzjrrLDz++OP48z//856fzr59+7B8+fJe+v379/e0PcuWLUO73caBAwc87c7+/ftx7rnn9tI899xzQbm/+MUvAq0RRbPZRLPZVK9z7YaWhu/2+XX6v4M1sLTBTfPX8s1BTNvAy+Htwc1nmppaQoP5K6X4jPC6VwVdjLSyctL7aX0bv+sXUljsIGHJZu2MJWhmW2t3bcmkPeei/zS8a5J5SdPcSOW7XiohdVHTzNI5moFcjVlK/7D6pTN7SZofSW7XJykkfx9+n/Y9VWYqD50zYmM6Zczz/sn7E21fTeN4XBOeY6DZeemll/Bbv/Vb+KM/+iO8973vDa67AKN77rkHr3/96/HJT34SF1xwAZ555hnMmzcPQBFg9OCDD+L+++/HokWLcMMNN2DdunXYtWsXarXimaxfvx7PPvsstmzZAgD4wAc+gA0bNuDBBx8EULjAvOMd78BJJ52ERx55BM8//zwuv/xyjI2N4Y477qjYIHH0rQwbGxtDq9XCKaecgmXLlmHbtm347d/+bQBAu93Gww8/jNtuuw0AcOaZZ2LmzJnYtm0bLr30UgDA3r178dRTT+H2228HAKxevRqjo6N47LHH8KY3vQkA8Oijj2J0dLRHiCYaOYtJDINa1C3kEB0KzWSRszuiu2z6my+DTg55+8QXHnnx5A7KjeDO8B4JuoNn/ODDlEWOl91EG9o7ebS8qpo9OGL9XNJmUPC2agBwR9W565qpI0a0Yo7h2nPhPl1aW+WY5LTyBwkpP+4YXKDd26hYWhPX/ylhzCHpEilNrbPVr1LnQanfOd9IKpN0z2TMuX2jhv58dirce9FFF+Giiy4Sr42NjeHzn/88PvrRj+I973kPAODLX/4yli5diq997Wu9AKO7774b9957L97+9rcDAO677z6sXLkS3/72t3sBRlu2bPECjL74xS9i9erVeOaZZ3Daaadh69at+MEPfoA9e/ZgxYoVAIA/+7M/w8aNG3HzzTdPmMN1Ftn5yEc+gosuuggrV67ECy+8gPvvvx/f+c53sGXLFsyYMQPXXXcdbrnlFpx66qk49dRTccstt2DOnDlYv349AGBkZATvf//7ccMNN2DRokVYuHAhbrzxRpxxxhm9xnvDG96ACy+8EJs2bcIXvvAFAAUzXLduXXIk1iCh2bKLa+k7idTdepUBakU++ROF24V1xYmRyiNFNWhl56qNJTKk7TytSC+atvy/JpIHzUk2hVzRNrTktSbiKhj0pC1peay2L77bPjQ5fdYqRyqL9iuqlaxKNHJ3/lU1Pk4DUfW5pYyn4no7WgYfH9ImIEVOe/7ivl3V5kFfJvkVJ9LYjmkjYyjnz0nUBA1Is+MCcRxiFg4NkxlgtGPHDqxatapHdABg7dq1aLVa2LVrF84///xs+VOQ1dzPPfccNmzYgL1792JkZARvfOMbsWXLFlxwwQUAgA996EM4cuQIrrzyShw4cABnn302tm7d2lOBAcDnPvc51Ot1XHrppThy5Aje9ra34Z577umpwADgq1/9Kq699tpeo15yySW48847+6qopP50CEOVy10j/13SQHC7sZV3LE3ViVxSZXOkkBeXji80cQ2AXSdrQpUW2FRfE8vUUcpSy96dpqStag6gMsUiiXjbD5L4aITHQXoOEmGxxpZ0n3zd9qlyclJ5LbNs8btumq2qQUxBTAs4KM1ckVdeu2qItR2H5PBvyaX1Ma0/S/2hyCPtRGwn41THypUrve8f//jHsXnz5ux8XPDPZAQY7du3LyhnwYIFaDQaZhBSv8jqDXfffbd5fcaMGdi8ebPZ2LNmzcIdd9xh2uYWLlyI++67L0c0FW7StBdb+Y3YgBSFoJEcbXFOex1EkX91J9nchdZqE43s8fSDNPdZsEiFNZlTYlqFJMTq565T7Z9UlqShoZN33iF+tjwTBW2hskyWVv8qP2sLlR1RyP1DrKi2Wo9U+n4lqRqBXHJiRUkNAjn5VCH59L7cdJpWympr/qy0+yxTH4cUTXhcoYb+NDvjTbZnzx7P7FNFq0MxWQFGVYKQ+sXUp74VwZ1THSSnQRpdocGaPFIGZpWB2+/ORvL3kRYhB23htu7hSF1UJXQMOXOhEULJnFI1dDxFhliefDGQ0rrfqbnT8rEqfrNfoCrJGOtvOeZJmreTWQqLpn1Oayfef1I1PDljTusD/ue0UHNprsh1iI89Xw6r78Tu499z2y1Wdsomj2v60vznqpsa+8aAzFju1U39YtmyZQAmJ8Bo2bJlePTRR73rBw4cwNGjR80gpH4xPJqIIPT/0HYpUqhp1/uN/9H8+B8P85X+rLytKAm5RDmc3L0PK+ceGnqulWnJobWIFQovtZ70Hi4uQ44csbROptixADQfnqekjdDK0kL/pfJ4Drwva6aiMq2ssdTaVIJ23erPGqy68jOjUmTj9eJ5l79ZI47/yf3Bye8/58ndY1rtwcd2yr0aMaFEJ/ZMy/vCV2uEn1Nmgk5wf5XjCKYraICRgwswckSGBhg5uAAjl4YGGDnwAKPVq1fjqaeewt69e3tptm7dimaziTPPPHPC6jjtNDuaMy8PbayzwSvl4y8U6X4m0vWUCVoLFefgE214Xd8Jd3vS2L5HdGEt0Oh95vnm7ErLgwpDM0Tx2fe9KFL6C3Ku/0GObDQ/friaVR+eh5+PrAmQtBkSNI1IyiTP+7AG3p94iDHXqvFy3VjK9R0p85Q1hq6OYX/0y6bgZizeX1PGoiRLTHZLRioblbuKLIB9krKUNpeAcXNg+X98TFi+g/SZxPqMZsLmdaVze3jtGGl3jkE01osvvogf//jHve+7d+/GE088gYULF+J1r3vdpAUYrVmzBqeffjo2bNiAT3/60/jVr36FG2+8EZs2bZrQV19MO7LjIJGeclDIJ8d2Eaq/B7FjkHb5/HrKbw4uLy1NyuCmk5h1bxc1L8KDE4LcsmvkuUgTda2Xv75I5xxklgLLXCKRLV6XVNn6eV4cucRbCyvXypZCyrmGJXds5JpqJK0UhSW7VL9++ok0fnmfkRZhTTY6v/QrVwza5sfJp20e+FyZ8szpZsUiyBJZpvOvA5+P+TNw5Vi+cYOcy5NxDM7Z+d73vudFOl1//fUAgMsvvxz33HPPpAUY1Wo1PPTQQ7jyyivx5je/GbNnz8b69evxmc98Jr9SGej7RaDHK6QXgQJxkuBQvOu7fOEdf0FdaAJIi3rgkxclB6kTbwqhSFXnazJa4PmWJ7x2TJKl3c/LjmnUuIw5C52UXtrtaeDtauUVm0Rj5CZGWsMFITzDJ3UC18gOhbRw0k0Dl1XTfGoLOM+fawBo/lYfAWzNJx2rkiyppIvX3YI0d8S0xlQ2S3PUL6znFqbVTFhpr/mg6WO+VppmRzpCwbWVm6ddvlyTao3flw+1cPPInZPzItD7gflz+sjnMDDyh8MXgeZg2ml2rIWRD1J/h5X2sk9rQaBlxQZhbGKLaW5yiE6K6p9PEFwlX9reSy2Y1l5cVR2TxZJN11TImomUuqaUn9IXYmlistdQQwu0TUPNAUdqFI2WjxVqDshvuE7N13puqf2V9zeNlKVGuUnlpji30nJjbc4jPePmGZ8MSfPTIEFNPCkbB0oiUsySEvnRNF6allRzP+D3aDIfdxi+G2vSMW2aLGUHTr9zx7bCPu1PCLlRFXQBjk2oKROuJn+V9HH1s26qccQQCCPL+O6eTnKa5oMvBNLEKmnVUlHVb0dbFPonb7o8TbR7eUsLizbR076rkaUyvXxmCtdeut94/qUcDVPGGMGhfZ7v2EuzU5oPUypZ0bRMMW1CDimnr39w7eyeq3Zfin+TVp4Ei1Bwf0UpX01bUlXbNFkmo5x5dFIxfOv5pGPakB2O2I6UOyjXgkU8fzKiZfuTj3yejZa/G7y5C74+mVV32qXEMJZ3anSGZpcvy9PV5inISS/7dKVpk1LIhlRfeZFMkzkkYtKBcHFHWcvUopH9BvQdtUawqSw5u/EUR1jrXiB0srbQD/GgGyYpjUW2JK2w3JbVCX+qZkr6TXoGKRpN7lYQO/+oH8Li++0ch8RniEnBtCE7OZNBHe5Nw+VCVMQZ9GfCSkVs4pfyzAnzTLnX8p/geWoOlTHbvSWLRSg4QUidWPnvMUgaOG4esfqV7uheLhQx8w6Q3oeo+UaTi7YFXVise7Ty8wlA+EJLvuBLz1V7htZzkPxBBq1N4Bo9m4z41/kz575IoRZMP9A0ZV6y+2leu0jzHNd8WfNXC6FZSt4IxPtmKmIaHkmLOaEYmrEmHdOiyVKdh8v05a7K38U2gnxixITbrCVYAz0VKeljZpAcYkDzosQwZlNPLcPSFKUQBAv9TGrSwsFNbtZCRK9TR9RSNl97KPlm6W1T6xE0Czm72xjRCbVZaYtSSPz6W2jogqg5vqb4WYVy6idi8zRaHw41fb7GTNPc+WSKnvJuv8aDQiLs2jNN9UOzNlv0DKgY+HOyfPxS/NWqYlJJjsOQ7Ew6pnyTFR05fXdHyY1biKQdW8oCLuUrX+t/4KbWS/8evjCUp7UcZakPgkR6LAdDSx4OiSBY6WPXNNNSed3ftceIBK2nRAhCTVG58FUhEFLEkgSZYMqkTTNTUQzKD4L2qVxTVnGffJK1XFbZVpLfjaYF0hZgLntKucV32QTuCBuPxqqhNMM42TW5pLItAlwnRKIm5CsRPclxmH6PB1fUgs8S0dHO4CnSh2ZMevikJfNxgRrQl0jHWXVeDZjyZMdBWyQ5tF23c1Au08n5WFEKXO3N78mJutHkdp9jYcAUsqz2TlK6X1rU8yZmWzXPJ+NUs4utvqYLln6+kuVfIV2L+Vtp8qZqrLRruZFEWp66piB8ZYOFHCJfhei4/3PIvuRAn6P14ZqZXBM5lwfwNX5W2+f65sV8qPTr8hlAlnwa+EGUlHxIxIeXr5kJpfaw6ttR8hliemDakB0gXbuSHm3hkxO+y+CLCh/Y6SciywsxJSNObi5HcT10NE0NMZbAo2Y0tX6oKfB3ZlT2VLlStQ6WJsmKSirLSX9BJ59gY/4L/HmmmDpLuTQ1fy1o91xwQiBFLE3UDtltLSSZUrWm2hiR+lhoPsxvsxRSnfostM0Brz93rpbkltpL65ODjlTiPji8n1v35IKbt6R5OOY/xDX5k4ahGWvSMS2aLPS90dOlwBoUUpQCn5hKF8SJbX4uZ8qOPrwm74I1UsInZ4no8HxTCQ5HzASVes8gwSdujXh1UQ9MUFVJSgoByXVg1zQQMY1ATDaNvHDy72SwFmWJnHGthqYh5BuAQfQLTlg0DHJRjWkpaLtS00/VvpYmk/4eMDl6K+U8pLhWq6Sw4SnKNA3HIP1/klFDf6vv0IyVjWlBdlJgaSHc96qqaw6nUh0ENOdrywyVQiY0R1q+m5T8eWJtF9YhjdxQWBMkrWssmiqUJTQHarL1o+VIMSWG9+QvUBZBjZWrmX3pM07ZNZf3+dob+jmH/Et9qUlO8eYyWnnQsGSOmDypmgpNw0uJX7/zQawv8lc88JPb+zXtSOHnFjSTfer9ssaUErt8Z/QhpjamFdnhi77mACf9r9mT3ffchc/JMRGaBj6Bx6KXpImek6NabyrJ14yFBMJ/eWDOpJS6KEn+Q4NCzrOWiFcVokNRhXBJGpUcouP7OljEVgt5z3dADt+9JL+Tqdyo5G1G3H25TrUpSDFTauYmbpYcFMo87ZcI8++S1i0G28ctz49L8quyfCNjBPy4cFYemrEmHdO6yWJqZ2nC0RZbpz6V0tIDsxz6NWNJO7Vc7YBmSgrP9Ij7/ORA1hDlRUzlEBjp1RySTFJZdNdbhTBZPkOxCDUpj3zCoKeN9ZmYYzaFpmF0GDThpCgJgm3q4D5Zrv6pvnN+XnqkkFQWTVPVEbsK3DzDtWpUFkpmpOfH/XD4PObLqr/vSvY3kzWtklbQMtVp41fCcaHxGUZjTTqmBdmhk6Gk2eGTPp/k6UQhnyZKA9VrSj7hLjXV8VIrl16TbOG8nhLJAGQTmJNfg7VwyWfDdNRr0v3WNdnuL799XJuopR2sBLpYVJ0kucrel63hvTWeY5CaP+67QX9zKDWOumZBk8nSILp8KMGzTIoxvw7+vYXClJXjS6RpOTSfIo5BmTQ1ExDtJynjRgIlOj6pkzdeNPxdKlsi/r6PTji+UkieNn55mjLPMApLnhPkjeDQzDX9MC3IDlB27vQDr6pMLCHR8e3z9d4Er+WfMwClvCVooeVS2VUn7X4XZdo2E42YpoZP3nQC79e/yO8jdU/jFzcx+BqhKqCLGodFmAFZG0nrEzOLpclXkiKbUIfX6Mm8EnKidCZKCyVBehZU6yRpZuz8/HQtNMznLpuu/M0elYvnE9s4SN8lAlT87mYh6bTtdBM6JbO+j9JxohIZmrEmHVO+yXJV/touRDZHlAOIhz3Gws75b7zc1MVhoncnWv52aHdYrxRoKvB0c5fW9n43T40G4SYsKdw353lJz70D2Sdh0EhZvGNEM6ZdqHoOSwokIpw3tvPOB0qRR9OKxSLHYvXgWqcuamiZ+j85HydL7LlJ4y1Vk5MiQ66Wx7/Xj+wKNY8lmYnX0367+6SihmE01iRjypMdgO4M4j3EWgi1HYszYUnqYA5rx8oX0dQFNMdeHZbZ8RZyLX/pbJgyjT7JaOYCX5sRM2uFdaSLH999ttCEZDbjz4jKETNjubx0B9y02UfqX63xz9bZKfweID8iMHWR0kxY1gagjm6wHGubB2nh1PJOiYiqC2VocsfMURpSfHKkZ6uZhK3vvO27pC0oybKIgxZtlQupH6RoYFOeBS0jTKebN/nmIIcEHzeanSEmHVOe7MQmuth91iJYpvUdlCXyoU2IqbJb9mxJuyCZuKToM+kaJy/SpMLJRJW2pXlr10s55TpTAkOJWw3+87Mm/1z/o35hLYJUHi3SpKqjqyyL3A4tNJPvK74XMhVvPg/PmtJIjWUiiS1alIhahJ3nL/0eMw1W0QaU/awlXtNky3H6lRALfsg10aVsAC1N0KBBzZXSeJhME2Rl1DB0UJ5kTHmyA9iThLZwuMmUw9bM9HcOjzWh5i5skumHniVU6332I7LSfZqqdx3uy0T/51oFa4EJn5lMImJ+KO7eFLl5W1aZWPs9xKyfXbqWj6/BStsg0Lo30e45XLuyUsaUtXByzRHNN1XjxmWt2m8tIqWNW03zQOUp08bPm5H6OyA56/Y3rVPy12+7adAOe6SfpQ1nDeG4S23L8np8bplwDH12Jh1TvsmqqHC5FgCQQ5OlxSJVhZo70GLpQ8dZ/TRciejEkCJ7LLInBak2dd+EGLY7JW78mVH/h1TNjV//UBPm16EameGLl0a26bV+y06JBIrJC1DdRat3H1/QYs6tVpkpmhsJnHRpJhiJMFU1F9KyHZw+sWv0m/J3Xassa0J92blzbz+LunY2VNk24YnpXeHZ0+ux72WoflrAgt6Ox/HyNiQ7k45p02T6rkyOTuDmESB+BkXbW0TtUEpp0rKcHi1zj0YQrFOTJWihqRpcuZoWLM0pVm4na/dlmUK68BdUyWQlhdKmwNrZO2g7eQ4pQiTFPNVm30OTn0VOyoWk+C5HnaXu5iVTVhtNs69ZPnAOMb+21GfGyYZG7HjaUM4wCk7SOll5c01EzM8tR2MY63Ox9oppT6W2i52AnCuLpWGPyR/Lc4ghgGlAdtzEkbMrpETHDTY3cFIjLlKvUS1L6m4ovNfX1GiaHJqGpsudWC2ZckDziu2eNTOXu8YJj7Qo9nNeSSlnSBgsrRpHTH1f5Jlnwktx0qX3SQuLRnRCMhUvh5pvNHLl8orL65/74ssQRtnx87LoNY3cSektWTSzlEaG3FlKnIBbRx9Q+ULzjnyCdCpyQvBTwU3POXOtlp5uSLRoSE0Wej+FTEzT3iY/UAw1O5OOadNkEuHRNC/a2Raxc0g4LM0OJyCcoEjp9HJkn5zUCVGapDVtkWYCi+10eR5a/QFb9c7l0heM+ESXY17Td4/2qzbC9IPZbdIJXdPgSTLH2rX8br8XzFrQUs2kFpGSzCcxUtnP+UOpsExgtskvNbqynHekuYoSSUmmKmbMHA0w3aAU8rUDs7BfH318pmwOc7U6nHRxSBsD157dhOczKIydAIz1wTHHThicLNMFU57sFJ1YD2PkJ4WW99XQRsNLo6noU0wiOQtP7HruAhuD5n8yEWpgSnRirxjQtDfajryqSaqK9kJDSlSPBr5YphJIGr0labOqyKOZd6v22eJamg8G9fsoo+u6Yt5W5FqsfInQ2yROPgl7kOOkkDFdOxdeSzOhhr+lkxyXh2vP3LmHyp/adrEyrIg6zfdqaOaaXpjyZIdCcuaUnJEB9IjOZDq58UlXg6R2zQtpj5+iSn/j2oJwZ1m2oXY8u7Urj4W9c/l45FCOj0OKGatftX4qWUo5b4abbHIib2ieVBMmmS+tqCgLtI8Umpg8wq8hxxQC6M7xfvl+G/P/LULt5+NrXbrj9da0al100Rx33KbmwpifTUxTRKGVbW3OtOsx0PHPzZ/Fb/b8kmPi4u3ACb3kX8bHHx1Dk26uUtCtF3/93D9EHqZ1k8WiQmhoK5A3MUjmHzr4LFV/qrrbvydmMoif2srLr7rzqZP6pUJ6FtJkLy1YE01KJd+iFP8q98xTIprSFwBd4yI9Y9pONSGdtQhR2Wk0kUREynJ0M5rVDrzPdEm5VaDt9Gl7WCYWng/XpuQS4g7rB/04FOfcY+XFn6Plw5fzHORXPeg+dznQtPGW5jzHXD1ZGJKdyce0arLUHT2d5EuCElcv87ysyZEuUNJL7TgGOVitiX6QSJ3UNKJjheam7pA1uWhZmpyS6h4IHcCrIpXoWE6+5e98F8s1D/Y5MdJnqW1jz9SK5LK0Ee7euL+XbIqg/SHmM5VKDGL+YNyEFltU08/oKvq3dC5Witxy/jo55z5z8TNw0rUjqSfGx2CZK1PmS+nZHI8kaIiJw7QiOxYk9bVbVB0psSIXYupi6XsqJN8C/3qeI6ilOaFlSvdwWbgWTCs3Zhagn1toRhckzfwYq4uU1lqEqTYHqKa1qoo0DZ/ex0LNjvxM6WfdtGX7Zmjjx5LVoZCrgQbaKDUBGqmJT1kppMmlc9DOBEq5lzv1xxDz+XHkxj0zjexI9+eYiMoy9PlDM61rUW85oH1SCmWP9X9JBjo+JQ21tFGR+u5Eo1ObgU5tRh/3jwEYG5xA0wDThuxIHTpcsLWJvnxjuuVMO1hHxfS8uHbIOi+n6omo7j4pqq1DFlXtXh4xooXpSlFw0gmp2qIqEZe0BSj9hZypqniuZtcWrLipIWZule+XzYCh7CnmQtf/LcQ0I1afc5rTso0a5FrRBk3htQtaWVaf8UmgL5OkiUg9ukLTMKQQwSJtJ+jb/DqVuao5iBNg6Rwhmpb3W0ooOsZYSdUkSiZY635JeyldD3/vmNcnE916Hd16dbLTrY8BODo4gaYBpg3ZsfwMOLgJy32O7YBig2jQGgNf2+KTidjkL+XDZeT38hBbtzBY5hjrzBB3nctStEx8AaafrYk1pV2lXaDmoyOZX+SyQ/+iKhOtdYBbLsGgi3aOU3suJFLdjwaggbb3glcg/TgFnpe/UIfPlxMerg3oQjtob/CLaKzP8HmNayx4v5byk8740sxGWri/NDeWpIyOV98vyDqoNTV6LwaunR9iemLakJ0YpAWATiSxCaeKXT08dC22w4/vlGLQiImUByUz0oJN82oFp0f7hIRrhnjUTkyTE9Yjrr1ydZAnePt5Ukjn89Cycp1NpR26lpam02TtIlyYnWxuwUg5rsDv+9yMFJ4FlUteUrVhkpxViKKUni6gTbRFouDIDM+LEwkeGp+K2HOmhN+qu6Wlpr/xjRUHlZ+agyiqknRLg+vSuPIk03QX4WtfLM2XpWU6HjQ6Dt1aDd0+zFjd2lCzk4sssnPrrbfib//2b/HDH/4Qs2fPxrnnnovbbrsNp512Wi/Nxo0b8eUvf9m77+yzz8bOnTt731utFm688Ub81V/9FY4cOYK3ve1t+Iu/+Au89rWv7aU5cOAArr32WnzjG98AAFxyySW44447cOKJJ2ZVsNZTtIbmkeK6vNOVJxx5wqii3ubmBH6UP0fOLpxGzmiyWOYsN0nVelL5aaXwZ9de0k6S/u+uWX4GVntqWglNg9AGnfTLiTVGLMvPteAVDamy8utSm2haLAdr51vkkfZKh9zJXtai2YfnpR4oZ8kZS+PLY/WhcDzJfd12xrXQUfqiBIvMS5Fozm/Nha3zcZQzZixZJPMkJfAlMafzVUs0Pbv8/LJSj7modvRBWQ/9YNbUMVpV81gFr6CGLqqTnVeG/jrZyDqH8eGHH8ZVV12FnTt3Ytu2beh0OlizZg1eeuklL92FF16IvXv39v6++c1vetevu+46PPDAA7j//vvxyCOP4MUXX8S6devQ7ZaddP369XjiiSewZcsWbNmyBU888QQ2bNjQR1VlxAZeDFwTxP+03xtos9+KwZp/QFfd++My0XpSotBFHe3ehMr/6mihiRY5a4imbaPJ/hpBHm00er+30UBr/I9fl/6cpojf44hBqW3y6+3qyetb/q+3j9RWTk65jdL+XHkd9psrh9bFtecRzMERzEEbzfHnUP4dHv+dtj1vO1t2v93CZ9nsPes2e17S/dIzoG2eCkpI+Z/0XHgfkvpcUQ8qY/hscsD7Ic2bPyf+zOjfEfbnfm+h0fvsxkzxf/Gcj2B2r46txD/+/LQ+4Vq7xZ6/64Od8THpxn9Ou1rjg/cxWjcqD51/Yv1I6jvHG8Jenv+Xg82bN2PGjBne37Jly3rXx8bGsHnzZqxYsQKzZ8/GW97yFnz/+9/38mi1WrjmmmuwePFizJ07F5dccgmeffZZL82BAwewYcMGjIyMYGRkBBs2bMDBgwcrt9MgkaXZ2bJli/f9S1/6EpYsWYJdu3bh93//93u/N5tNryEpRkdHcffdd+Pee+/F29/+dgDAfffdh5UrV+Lb3/421q5di6effhpbtmzBzp07cfbZZwMAvvjFL2L16tV45plnPE1SDlIZvxQJQnVD0rUayoPDJGjqeUu+FGi+JFR1Le+uylcyUFLAtSA0P2n3Rnd8XKtjQUvjyrB8ZPh1CkkLxfOq0s4aUvJqkM80fQNtdjWet1We1Df5M5PMUw4xkk/7VKz95ega+63iljko9tz4WJbS8/GRQ3hiafu9XqQp24pqjWooNcwO1ITGIc01fGzG5j43nulGzN1P+4G7RxtvGiSfHdlc5ZsaJY2SM4kXm8iWWv7xTH4mA7/5m7+Jb3/7273vtVrZlrfffjs++9nP4p577sHrX/96fPKTn8QFF1yAZ555BvPmzQNQKCkefPBB3H///Vi0aBFuuOEGrFu3Drt27erltX79ejz77LM9rvCBD3wAGzZswIMPPjiJNZXRl8/O6OgoAGDhwoXe79/5znewZMkSnHjiiTjvvPNw8803Y8mSJQCAXbt24ejRo1izZk0v/YoVK7Bq1Sps374da9euxY4dOzAyMtIjOgBwzjnnYGRkBNu3bxfJTqvVQqtVko1Dhw4Faars6LRFgudbg/RWZXm3W044/mSfa86Q5JC+052o+87bgvu5OM0T145Y5VhyxRykreuWs7LlGJmKKrt8DdKCTJ87JYV+Gv/ZTIQ8nKiEDrbhC06p7NJCxhdP7VwV+fBM39m4YRgM+QIbQ8q4jYE+h0EQ5LhWoiQN3B8oxa/GQXu+Fug9nMjwcG6pH8Q2JxRdyO/j4gS09Dfznat5XytJT7ghzY0gnCwUUlZ/wVUXr2TfU6/XRSXE2NgYPv/5z+OjH/0o3vOe9wAAvvzlL2Pp0qX42te+hiuuuOKYKikGhcpkZ2xsDNdffz1+93d/F6tWrer9ftFFF+F973sfTj75ZOzevRsf+9jH8Na3vhW7du1Cs9nEvn370Gg0sGDBAi+/pUuXYt++fQCAffv29cgRxZIlS3ppOG699VZ84hOfqFodEfbiVBPS5U2sWmQDIIfSVo1M4OSGOx27NA4NtL1dY46PCKD79BTX5DwtMmWj0audRMzK6dE3h/CFo8rCIEGSne5iuZwtpp6X/CVyYMnmdsCWD5KDRGhdW5b5ddS+wZ+F9BqJUPMiv5Hdl0Efi64d6bjVCEs/mhhKzlOjzSRCXxfqWupNaD/w75XmghwNHS/PRbrF6lAF2gZQ0hJL8knfrbkjB3zsTybx6Z/sFP4+fFPfbDbRbDbFe370ox9hxYoVaDabOPvss3HLLbfg3/ybf4Pdu3dj3759ngKi2WzivPPOw/bt23HFFVdMmJJiMlGZ7Fx99dX4l3/5FzzyyCPe75dddlnv86pVq3DWWWfh5JNPxkMPPdRjjRLGxsYwY0bpsEU/a2kobrrpJlx//fW974cOHcLKlSvNXQaf/KSFwk0iTeJj49LTfJrjFnaKQQ4evuOKIY2U+Dsm9xvfzUkyaAsy37G5dpVCeatAM1dQGz03nfCdKf3f5eeMSdIzS9nVSwuxNKHzNE20xkOqnVw+ochBP+ZDoFp/lQlxPB+uqeH9LceEx0kNJzySXIMYm9oY0/qBZbbWTMCWSUYbg1q78jbRyOMgoOXr5gLtCAF+jWsYpflE0uJZZkpNo/1qxMqVK73vH//4x7F58+Yg3dlnn42vfOUreP3rX4/nnnsOn/zkJ3Huuefi+9//fk+BsHTpUu+epUuX4qc//SkATJiSYjJRiexcc801+MY3voHvfve7XgSVhOXLl+Pkk0/Gj370IwDAsmXL0G63ceDAAa/h9u/fj3PPPbeX5rnnngvy+sUvfhE8EAeL0Tr04+/AfQAk8wD9nHNIFkc/WhypTEoHUuWJTYIxkkM/a2prKoM/eeu+VdJzsvwE6uzZSf4GRRn6+89Sds05RIOW2Uaj5+slTfQStEUqhQxbRFPS0nAzFs8jfFb14PlT+TTzBX+OsUVICpu3ooKqQMvDabmcjiw2rmOaGCBc8It2LJ5zEy3Wh2vmmOIoTNJ6v5LanfvgaONHqoNF4njf5XI3wNuz9NnhJitOfPhYpzINaj4dFAal2dmzZw/mz5/f+11bAy+66KLe5zPOOAOrV6/Gr//6r+PLX/4yzjnnHAChgsFSLmhpcpUUk4msHjA2NoZrrrkGDzzwAL7zne/glFNOid7z/PPPY8+ePVi+fDkA4Mwzz8TMmTOxbds2XHrppQCAvXv34qmnnsLtt98OAFi9ejVGR0fx2GOP4U1vehMA4NFHH8Xo6GiPEA0C1qIqXZdAd21cnQ5UCxOWZEm9T0LMbEXldFOJn7+tqi8mnnJylExgmqOqdiRAVdBF2skVOlimv9SR1k1Kmyt3Oen7zyO1n3DzEJcz1/SVurOlpJT2FWkhkiCRVOl3hyp+J1Z+sm+X7ZNjtSXfDMXNYtx/T3fc5nCHZ3CZ/fz0dpc2FKmydlG+JsflpZsT0+vkIIXdU0gbND5u/HLjz5+3ZTlnTIyWS8KgyM78+fM9spOKuXPn4owzzsCPfvQjvOtd7wJQaGbcOg0UCginXJgoJcVkIovsXHXVVfja176Gv//7v8e8efN6qqmRkRHMnj0bL774IjZv3oz3vve9WL58OX7yk5/gIx/5CBYvXox3v/vdvbTvf//7ccMNN2DRokVYuHAhbrzxRpxxxhk9x6c3vOENuPDCC7Fp0yZ84QtfAFB4da9bt66S3a/OFiwNfALj16QdEN35uEgAvgMpUZq5rMkxRbMTm6h5/lz1G+7u/B287xAZ+hJJkTSSLNoOjCNHk2SZqdwhZJYqv8Gi5qyJWdIgUBlyNAi0rVx7tMd9JegEbEU6xRaRXBOhFs3jypHK68cM6ZBqQsnV9FiEjzvhVnVelhxnwzT+As6JRqxs2v6aKarKBiFFjkFELekaUD9vyTcxNS+a5/GmuTne0Wq18PTTT+P3fu/3cMopp2DZsmXYtm0bfvu3fxsA0G638fDDD+O2224DcHwpKaoiq4fcddddAIC3vOUt3u9f+tKXsHHjRtRqNTz55JP4yle+goMHD2L58uU4//zz8fWvf70XvgYAn/vc51Cv13HppZf2DhW85557vFC4r371q7j22mt7DlGXXHIJ7rzzzqr1HB8Qugo15l/BVfBchexOw3Df6cmfGvQJoVCRa5qmFE2OVVZMg8TV3pKsnGzZ0WrFdC2FYKdqAjTw5yIRTR7arJkgHTQyJpsC8yZZTtqaTE0fyzO2sGpl+XnohGAQTvBaSDQ3J1IZrbBzmt7Pi/t2lKYl26yTj1CjV45vyY+N1r+BVu+cGCqbJSM3H3Ln9hRNoNXvNXCtLn9ODin+R1UgnawujW+a3togOFm1PnmsUDzV/jU7qbjxxhtx8cUX43Wvex3279+PT37ykzh06BAuv/xyzJgxA9dddx1uueUWnHrqqTj11FNxyy23YM6cOVi/fj2AY6OkGDSyzVgWZs+ejX/4h3+I5jNr1izccccduOOOO9Q0CxcuxH333ZcjXhQNtIyJoZoPBIW0W01dPFJ2aZrZIxeSBot/15wGqUYjdXeeKgstv6oaPMxfPhdGc5CkMkjf+YITI4VaebkO5xpyFqFCvpivR5r2kUPSUoWyxolm2oIcEiRpc2GRVq0OObDazq9nvpM+TeuCI1y+XLNjR+CVFDQFkuYnRmyksaQ9x1z/JsvExf3DUjEok3k/KDZkkxd6/uyzz+Lf/bt/h1/+8pc46aSTcM4552Dnzp04+eSTAQAf+tCHcOTIEVx55ZU4cOAAzj77bGzduvWYKykGiRljMQbzKsWhQ4cwMjKCj45ejVnzm70dZ05Yb6oDoBvwTXI2jaQFkJDiyByzY6fmy/PTBr3T7FC1P9cMhZqd+C41lRyFZMN2rgQQyCpr6sodsrXoapM7faa52hepXvw5VNcE2mabFPRDWunYon1D00zGTMRW2vK6re3gsEhx7P7U8HJfPn+R5vNByrOh5+xYi771ewrZSTET6VFhvlnYIjupGmnLMZ+3Y4q539KQ07mtdaiFz47cjtHR0Up+MClw69I/jf46XjO/Oul68VAXbx75vxMq61TDtDV0xpw5pckxZeK10/laFE0zoGlbBgEaypnrb1LVxMHbxZr0LM0OX3QkLZSWD52Euc9Oqg+R+83SyuTsNvkuPeafkuP3kbKYWnXMQW28Fi3yXfIrSR1PEqQ+IzlIy/KVpwLnluvut5yvpcWUjy+J6MTkkEx+Uv+qUi+LUHAZYuO+TY5OcEh3fM9/zQjVkknzkhURO8i5dIhXF6YN2anBPt9BSp9iHqHp3e+xQSap0q0D2XKRcpJzTt48DFnS7OTAVk3XohMsbx+6w+fPNAw9t193YBEArc2442uOQ6W0MKbs4mm5/ZAGi8CnwMnQQnPc/6jrtYOlpZPy0dpBQixUnl/LRYx8ppqVuwIRo0SNQqs/dVgOF/e0aDCrb6bcT+WQ7nfjVtuoWPdq37U+YBEeq32OBxMWkD8Hh/cPkYspT3boQtcUzo5N1dbEtBGSKl4ry8prEIORRoRJeacOfHqdf/YP9UpbQKW8rO9VF/F+HBIljRdtL0uDwBdcCZTIVXnWOaaeUL54eZrDtrSY+7LYDs8pjuApRCdVI8kXTLrY0r5BF8JUs7Usb7l45cquaby0NpXMuprZiOelExGb9Ma1jjEtlb7JsEiYZQ7TAkYc+MGD+jwz+dFcHTaH5t8/RC6mCdkJd0XW5EsXEaoStXwxUomO++y0ELzDU0KUssOvYhvXzAwaUrQLmixaXikEx1o86CRua+BCDV2OVicG2o80bYYlm4RUrVlsUUwtP8VZW+orsQVWyk+7N0UDJJGFutdf7EVbGt/0f97f6NinkV6SXLZmp5hzrMPvNFljsEhITIuZkz9H1SjEfk8sjpHFkOSGUXNl2nqPpNbRxZjxIuchXv2Y8mTHnWmiXaPQzB1xx1FbU8NNFdTPIDc/KqstU5pTZcqCm/J7P6aUFHW+Rk6pVq3IS97pamZHq1wNluYopb/EYDlk83Tct8wiSm7ip1oOjazKC77tg0MPv4uhX/MZLTNeVthOvE9xopRDOLg8svYidOinmy/NJ0krY9CIaSv93+LzoaYdTdmcWfOBRriljUaqFpDnNRl4xdg8p91/7E8kfrVhypMdN7GkqKrpBKj5Q8QW5iqwJrxU0iG9HC91MOUOOik8VCJzWlkpmif///QdaqoTr/YcrYnawbW1dEhibkRVbHHv14mePxMna4qPjKS1slD4ofR31IJGpvrxcZBCmXm04SAc8J2GIEYCNW0zR0p0WJnn5Bg2pOdQQycgebZWVn/3lXSPpBWX8osdj2Ft1Cbbl2foszP5mPJkxyFuUw61B6GaO822Lb+kTl5UuDOntHORBkWV3Z2WVwqh08rt9lwt850Aue+EJFPuOR/unipIWYBjp1tzc2eKBq6fsOBcUKJmm13jmg1J7iYxBeSECKfm7xYv99xjviSA7KTuawVLU0ZZNl9g7XNyrPJr6KLNjjL0iZyscUvZPEiySOUPAtap0bq5Sz57zCc8MX/IdA0cJ650XjoWpGaI4wfThuzEzC+p5pmYajTnXUPSe19SkWsukUiXJpfmw+DAo9po3pIvUMxkRBei4rvuX+HfL5++OwhTm3QfXxBd2ZpcUhq+YMZlCk/SlmRz8knXNI2VTMSt06aLnKSynZwaweFEOMWcwQmB/3b4+HEPtCyuta0J93LZUslGCviiy3+j0LRDft38d9FZsIgtP5eKyueXVz4/Xl5xOrRNnB1KOXzyZ71KJgcpWnJ+ns+xIEBDzc7kY8qTHdqppBNWaYfjkxE/x4OncygmLTu8m5MIqiGoohHRoJmwrIVE+l0jde43+ZUUZT20hUPKTzIdSguwg6XpscqyYJFYrtmxQEkoJ2yS9kDSTIXlh33LqqO0cNGF1S1+nJi6fuwWUOlera25mYyfum0RLql9uXzlApW+QHAtVq2Xn/9yWJpW8meSCIGTyt3DZeMklJMEXu8yj3BKpqdTh23QEMvjcsiu1WV6i4SHc0n6siHNjWH5fti4NB4keehcVEag2iTCmncnk/R0cUKfZGdKngU8oZjyZIcjZjYo0hSTomaHdkhZHC1Y0TspmgoKKeLA2q2F30On2NR6xBZfnj+PipN26FaEkCS/9nuKaYr/xhdwyR/KpaP9KSQlJXHgvxf3d4LjEFJNcFqbc4LNCUNJhv125uSihi5agPfuLpnk2yZW28Ha1nCkQNMI8NPSKVmS2y3dYdRRl5B066HiXdR7ugxu8uZkkBNgR3RSSIa0yckh/7JGj2tqO2Z6DmssWwd0urKrbF6qHj0xxNTFtCI7PDLLIgBypIus7g/Dx+MHqpWTa/giSJevA1e7SoOfKoW7qKElvO6w3zOAeHo6OfNTiSUy45dRvrCRLxx8onX5pMLyp+BtKNU3ZxHmJM4vI3SsppN72S42seN+KVr6mD+Rk61KmxbpfQ2PNn4aoO0qv2tLMhVJGgZarzYa3iKWu4hL99Dx69cvdGAuZff7tF9fv34aeL1p3evoojHeblyb5OTRoi2lPmttemg7pMqbY0KX+moV8sK1hDRPfY7WCZvLU3Jenwz0f87OULOTi2lFduzdR7jo2KYCf9euHeAn3+urWrU8aFkpCNWy/qJrDS5OCCyHSvqbIzphe7VZOluzw/P0y4kvyprGTmrbiVZX0/pJPj50caW/898AX1bNfFf+X0zp2pkrbTTRREvUhkiaNV4e1xpJ9/H8LEjkXzqgkvoK8RBuSzYKarpz93LTkaTBcm0gR0DpGyeKFI0YJTBUy0bzsPpyznxiycjHqgTfpKZpuUJzOJ0zOWGyIig1U5jsNxj+JuUpYTLJTnd86139/iFyMa3IjqXSTVHHU5LCJyy+K3X3FGnt9zy5+/0dWDh5p+4ECodBnl/a8ODmDq550UwAmrkvXLylV0+UE6ykfuYLoCZ3rZdn6C/hkNqGdDK2iJK0KNHPbViLch1NtFBj6TRfEIkESn5l1iTayWwLzYTn5JH8rXwZ0/ud1Gep1oNflwgDl9VfbGn7NrwxrBFg7dlzf7+U+tHPlAxwn5zWOCl113OPKwBCnylJDvo9fK56n5b8ezTiF25minup8TZsx9IPiTs+h3K1vO+0j3KixTER5xWl4hXWl/PvH2p2cjHlyQ5VF/IJytpFl2nkd9FI9/NyLfNEqio4dUBI5Cld1Sxrsai63r0JnaO8rp8+SusehubLZ+hobSuTLd+ZVgtZlspPkVVToXP5tfNaNJ8euX7VT2Tm8nI4E4RfnrWY+P5InGy4PIv/faJWegbJbU2JneXA7NLys2po2Q4pYeiuLjGTLu9HmvkvdfPUEFyEJSIGFOH7xXjj85VMeqVyKQHmBMD97uolPSONVIb5hZshLnMX4ZikZM/lm+Jjo/URSoidCV8KEODz4qCPdhji+MWUf9KO7aeEaAJ6pIrLy/1fY2li5IISLin0MYWcxP0xSvm4g6ZDaK6Q1dBUlibaHpmRFkxtIZIXrxq4mStMIy/Y0oQo+XnQRYRHYIQTsr7g+1ol+d1qsi+WTqbp9QZagpMy1TjEF2X/N71eTRYeLi0G2r28HWmdLNOXpiEof0tzhi/GZNp0ZfvldXq/W2aoQuOm+4JoG4RYuRxUg+r+b6DdK7/UrnIH5jSzmUvd6jk5+32wNT66NT+g1M1WfO7yyZGUnvdLV18pUETS2JSEXH/ZqdaH6f+TAWnjkHf/ULOTiylPdhyk3bZ+Jkhas0i73tTzIjSVO53QfPnLwRHbTfLdF53gAXiTqfu9aWhmwoVBf6+Y5ERL03Dth6bZkWSQ4LQVPKyXLg5c26HtDqVy7AUtNO/F1O6cmLkdvCaHNSFyTUOqU3zouh7KasFy6uRaVK4VoJCcq3l9+WZCW6i03T69JvU1PYJKJxSS5kcKKODXZBlDEtlEC7NxmIyXrjdm3NhNeV5O0zEbRwIS5P4/jDk9bYhkZm6Nm8ULaL2nrDuPggudiG3zOtUoaiZsSRNEtTupmEyCQ9HBCX2Z0Tp4ZYDSTA9MebJDCYT/ezkgc0Oti/v8naY2GUtlanLy77GFV/tOo0PcpDgHh3uTZh3d3mRK01i78NSJ1Z4K5akydZG1yq2x+nICwDUlqaYsnlZypo4RIl/WOns2palQ6n8pcrp7JcLItRNWfrkq/VTfIJeW16/du1aLkh2XTiojxV+IE1NJo6k5bvOxyO/VynXyOhOwRoi41pGbsWj/cNet8cp/b6AR9DuH9jgRogEJnKAewZyevO1x6fizimlHUufWnLlAMm1a+R4rYjPE8YEpT3YctN18ThSVlbdkG88hD1TLIl3nPjFaBJO0e22gjTk43PMboJOlFh5dyFwtCiwXWp15/to1vptsev4OvulGi/qR5HGwCBzf4VNIEX2yOUR3YJfCmrmckkMzX+gd6bPqbZnMqBOttnBYJLEsQyZ0NLSc5qdphuroRskLBe9j3EzF09Dnwp8Pd8pNMwP7Pm9aBFgNpWnTtXMLDTTG+7FU1xQCK/U7V25rXNfL2wHAuAH7RVLjWs/05cqm857LSyJC7rMmr08enQN5fVzr3BCfVwu+f1joRN8xCdGxIkH9R2MNzVi5mDZkB7AITzlQ/d/zQjfp7sgaRNpukcoo7Rz55Ep/d2Yoqm1wk6vzubE0OVJ9pM9aWnqUfwqkBcSCFunG4RsU9Zcs8t03/z0VOQtsKXuo2Qnl0s0iFHTBC51A052dXb+byInfWuhytVr9yFBDGP4vlZ8S9aTBmaDKMSeF8ktmR7v/0XkjZVNCRwM/nkGaf/jc4rRMdI6k3/lmoz1O1fh1Wmdpc2TNNy2PiPHjQWq9scLr2kRrvDy66dSPEOhXw5wDJ2v1+4dmrFxMK7KT05n1RVK207fQ9CIuUnb8PI2bjEpfDpnwUFU3l8nlz31BuAaHR4fwgaftqLW6p0zSpSx5k4ukJfMdvbm/Tv4iRRf71Lq4nacGfraL+833eXGl+qH3qdq1lLBi7TuVScqP3kN39fSa3xZhf6Z5xMiL5FSvRc9pEZZaPShS/MSszQAlBP64lDVsTbRwGHN6G5KYuZubNqkTseX/o8GZnXjeDn77NdTIS8C1WUuU35/V5P5L+4x2tEM4ntM05BpZ52OK5jOZBGeIY4tpRXaA0GGz+E33eaCwojyaaAU7EMmMAaCnpqbaFppno2cZDycdlye9pvk6UJQTsNvdycaZlLNl6CJfLoINaBO4vGtO0yq575pmp2jFhkcU6QTpdppUVmtxj5kkgOovK+RtK2no3O+afBqq7BJTyA+VgS9E2nkrllnOWmR4u7rvmrmGmgLK59YI0mo+ealtJpFzTSPH85c2J5Jmg5fHTUladCUQc4AOiaYV0cjHj5YflTWWJiYPh6Zx4v53OeVWSTeRGGp2Jh9Tnuy4TqUv/v7EY50/wQ+IkyJdaFl01ympq5uQI3G47O6z5JDpfud2cgvaZMbbwlrYKJza2jJF+NqM9PdwcTW5dJ36enCCKfkQWFoTy5FUyt9CjFi58ly+xff0/F0ZFqqY5Yp85Z27ljf1lXLXrLbUFtVUIul8fEpwE7TfbySNQ6ztrLFb/J+mQXSa1lg5UhkSQXd58rQWYnWtajLUniPt1xYR1ECJYpGfpYWTN31uk+N6xvF0po70TPPuH5KdXBw/T3+SYGkspMnRwRrM3P5PLcdh+bXeRO0GtGQi0IgUlZVed/mloNyBy+phbYJ1kDQfVSLaaHrdlyOsO78/NA35bccdX1MmPc3fx/LRKa77bWoRNY3o5JrhuC8Gl09brCXZcxZwumAV7WUvYHIkW+kEHPM9obt6qb9JY8L9zn1FrP6d2j9SwQlBTLPDIfUh63lL9ztI7cb7rCVXzKTN8+OvkpG0mJwQaRo0qW9xTY8+T+javaEpa3pg2pGd2KTKHfjo7i42wVBFfvEKAN98kkNmKFKcc6X7fdn5QqNP1vx1EzFtg1YuLS8Gq+7WLpwSCv58pHvTyVgYilvq7fIJiUOuY3ZOntKioH3WZIntpPmOnaanxxvw/MJ8fPMEEBJuCR2E41HawHRR894DRrV7KX2Ky6AttDF5S1lleVORsvGS74uHiIdab5sI8jysjUQLDVELRZ+/pRGk403yWUohK9a8eKwwjMaafEw7shNTz2uaneKzvwBSlTiPQqD5OqJTEqF01awDXThSFmxpsuL3V1+w7UmCk0TpPssvxZ+Ii9y0M1W49kQyncQmlRxtRg2+ScLyn5CeU6w9csxkVt72b/KiG2sHaQdPF605OOJFBdL/LW2G5Gwe9lXermHouIO0GPMNBV/Qq/ppadpbnibXx04jcrS9LdD7crS+DilO6+6zdDqzVB7PU45Qq3nXw99L4gPE31FG3zPGEWoLq5uVctHFCX2VZx0TMYSMaUV26GRBByT34aAaGgfrkDQ34FMmFbrL468J4GmKz+nqai2vMs+0BdVaCGqkdWj6nF1wzC+myFN+Fillc5NBqqYpTuJslbtUt1g5/DnnmKBo/0slSNIuXvse0yjStPRsGP6sLZNTiu8cXdz0etntnkN6U3yrYgjP2Wl5r+tw8wd9/taY0My0GjjZqepkn9IH+HO1tKmUHDnEHPKt+sb6haWl4qbYyYRGCHPuHyIP04rscDhWHy4w4QQ9WyAfDpoZSluU3YJgvTzTESHLnJDr/KmZIFJ3NpQ4UdnbitZK027QKDQrRNX9b8nFJ1euBo85N+ciRRuXQ0otMiN/D82fFvkKNSO2yYPeEx5o2Pa+a23rbyrKiEcOfjaQtfCkREpKfd7BOpwxhB81pWmpKMLnVI6HBlqYgyPe/TSUXCLo/PBH7VDAGLrwzXlANe2h1na8D0jjVTpnR5ortc2nJof2meZJ85H6/rEgOkMcG0wrshPr2NKEqmlDtB02vW6RHboTlsqM+TtohIGHX0sDXDpnI75DCsOl3QR1GHOCydvJWUpRqp1p27hFiB+ix1X+0mQW+81ymrY0GPRejhjJLNLovhxVNTC0fCof71exPHP8O8rf9YXOodgll6YHeSxZZKHj1c31HU40uEycMOh1q3n3uHK4DO73GKGJbWzo/w200SZnURXajdIkLm0+LGKWQnakflLK5/eDQfiNaZo5P41+oJ/7TDef1LwZKztlXHHT2LHEULMz+Zg2ZEebxFNMKDV0g7Bzng8d7HQyojsWuijNgb8j4pOPZA6g1/3dM61DwyQ67n6K2AF20sROJ1N61g2VVXIS1jQvvAw6afL7aRr3DLWyy7R2pI/13a+3367WOT2xaDbp3B0pHZeByphKUrlsEiRNjbboa30ixcynyZYjuztuASjfsRUbnzzsnG9OpHus6xzas2mijYM4MSAzdK7gY8oiU7F+IrWDpqVy+cXMyhboqyb4nKqZvTR5csi2JmsueTsW2p2UDWbs/iHyMG3IDofU2TR1bKxj8XR0INPfaD7Obi0Ncnnn5b+Kgk+OLg9t0YntRGOEx7/XX9DpywHddSc3D0vXyI4mZ2xS4AuXU/+3vTTy/TGNRcqkafUNLcyX+1OU8M+K0bQaNM/Uvlkb70NcgxDLM3YYHZc3leho0IhiFW1kmVZ2TpbIFu+z9HqMxGpjiL6/iZfva0r1eUSD5M9Eo5YseTXkOPRbY9eltXwh3ZzAf6OIHRGQ0k6+TEPT1XTEtCU7QLj7pwNTNi/pZiVpF+gW9nDiLKc7KV/JFMAXEWuXnqLW1xAzc8hEquvJIn12pglJVvocePnFfb7WzL8uL04p0NqnoaTRTDTcRFfC93Hh6CD+lnipPZxclnahSCu9rbskyXzRcnn69+jaDV6u1XekvmoRKc2EIck4CHATJC0/DLO3iaYVtVZ+L2oCuLeih5odPo9o+XOE84n+XerTOfm7OqRGb/E3plvPseu1VEiAZB+ceICAVM5kE6D+Q8+rHSr4F3/xF/j0pz+NvXv34jd/8zfx+c9/Hr/3e79XWY5XE6YV2eEDRxugkjaGT7KW6YOno/lQHwO34+ODTRp8dLdWXC8nSy6LC7fUdui+3HmHAXZ7LcHNWE3SvqWGJ9S8SFqKuCNiB+Ezo/fnaG9iE5ulkbBClDtGHSVQIqghxbQoaRKla/y+2PcUMkU/u16ZWg96v2QmlrSdmp8aUM33hEZ71Xul+NpIXjYtvypcOVLoNNd+uN/KZ6g73FLZJHlpeRpxtMyL0nyVEgSg9Stp7pPyiLkbuPpYMtAx4OapQfgrVYH0jHPvz8XXv/51XHfddfiLv/gLvPnNb8YXvvAFXHTRRfjBD36A173udZVlebVgypMdOqm470D8HVAp6lYKek1T5XfhO/BKDq30O3eo086W4EQKcC/ntB0upfagkNT25WTHTQLlH19YpcmKtqckmxTBoSG2QFNoE7y9w8wjI+45xHxygNDfQZLXL09+7hooSaT9TTMVaKZcrhXiaYs0ae+L4mU6WBozwDn6SnkV5rkcvzrqC8ZJOuCHa9dJCqkeHBJ50MgSJch8k0XJUKwtpfJlglnOKeEGSiZevGw6/+SYoa1gA61enHxqaXmelslxorSDxzs++9nP4v3vfz/+w3/4DwCAz3/+8/iHf/gH3HXXXbj11luPsXQTjylPdhxyIm4c+KDg6mg+wLhZipoLuOqWvhgwLDfdUZXK6S80nd6CW5IefeBb5WkOkDUyoWh1l8yC0mdt4Y6F9Wu/a79J5hZLWyOh7tVbz4u3v1RWFzJJ1uTXkJuGtx+VtYqmSVpAJTQM055EQPmiFKunP14lp2eJ6ErmkJpXPjczxWW3DwXlpNCqF91KaIj1IU0uLj+fD/y274i/pyA2D0my+HJY5nX/GUljUCuDf54s9H+o4AlZ6dvtNnbt2oX/8l/+i/f7mjVrsH379spyvJqQ1WK33norfud3fgfz5s3DkiVL8K53vQvPPPOMl2ZsbAybN2/GihUrMHv2bLzlLW/B97//fS9Nq9XCNddcg8WLF2Pu3Lm45JJL8Oyzz3ppDhw4gA0bNmBkZAQjIyPYsGEDDh48WK2WAlKiTqRrVIPBv4d/dfLnXyscexvB7042+tdCEx3UvD96T2t8F0qvFU7DTRRmpqZXVms8esr9dZisUnla2dJOjtZBajf61yYyUDkKmQu5pXaiv1sISywmwyYpIWUxoXCylnUr65pi3uBlxRa62LWQzOmEL6W3Sk86Bvqs+d1WnXhbWnWVNhpWH7TyqZG6unq7/lBHcbRDDd3xXtby0lF/O61MOp5cPenY76DWG2euP1vjitZV+rPSSHI5xKP5HImKn9icM6dOJHi/dU+CXis+H7swdGt+Tf0DgEOHDnl/rZZ8dtsvf/lLdLtdLF261Pt96dKl2Ldv34TX93hAFtl5+OGHcdVVV2Hnzp3Ytm0bOp0O1qxZg5deeqmX5vbbb8dnP/tZ3HnnnXj88cexbNkyXHDBBXjhhRd6aa677jo88MADuP/++/HII4/gxRdfxLp169DtlhPI+vXr8cQTT2DLli3YsmULnnjiCWzYsKHvCsccwziRSUknQRpQ0sKh7aIkAkTBOz2dXCVCQidYTqbcoYD+hFtX/8q8KFGyllF/kLZIOe5+Rz2kid/J7f7Cuqcslp3egqUt/P5zkevO4dfdbx9OIvmzleSXSJ30WVvUrIXS+s19zvVFkelS2E/cM6cklbYP7xeUiLfG79HqL9WbywPI40/quY1ebyx6HF0s3T1SfjEayftEcU+dEWfdzFcV8rPX50Bp9AIlaZDGCi2LP5fQnBubLcrn0Bgnn9ofJ56WVjGFtL/asHLlyp5CYGRkJGqOmjFjhvd9bGws+G2qIsuMtWXLFu/7l770JSxZsgS7du3C7//+72NsbAyf//zn8dGPfhTvec97AABf/vKXsXTpUnzta1/DFVdcgdHRUdx9992499578fa3vx0AcN9992HlypX49re/jbVr1+Lpp5/Gli1bsHPnTpx99tkAgC9+8YtYvXo1nnnmGZx22mmVKhsb4F3oKnNOXiR/BQpfbR3aj/mBgvx+yzwiDVrphFVfVjnup7Dh6/XUINnEpXykibaKU6BmCtLICr2P+0bRttGg2fztyTR8EalsItH9SqwJOTZZ11g9tf7sTFXSQq09N80JWFuQNX+0WLry/3Kx5OQ0JV8rKkfyT+LPiTq/ShsUN1/45pkqEYEhAXdtHxvzVB67DN3EFhuL/LlLY43WX+s/3JlY6+uST5g0N/O86dZJel7HG2Kb7vj9RR337NmD+fPn935vNpti+sWLF6NWqwVanP379wfanqmKvnx2RkdHAQALFy4EAOzevRv79u3DmjVremmazSbOO+88bN++HVdccQV27dqFo0ePemlWrFiBVatWYfv27Vi7di127NiBkZGRHtEBgHPOOQcjIyPYvn27SHZarZanwjt06FCQJuaPkDKBapCciTVH1eJz2qIpl+Xb52O78jbRwPA8tM81VkYoQ73Xnpo2weUXlq0fL5+zs9UWPo1g+Yt5WtevQsyA9F059eUqvsvkUfputbn2e7Fw6D4nvG85aAtyDDw/ei/PhxMzjeiEssdPCaeypPhSFenrpHxOhvy8JIQLvmaa8tuGaktTiLmULyey2vcu6r3ITSkN7zOcnGn9IIWc8TKcPDRP6ijOHdbpb6ngmqpjpe15xZgzU+8HgPnz53tkR0Oj0cCZZ56Jbdu24d3vfnfv923btuGd73xnZTleTahMdsbGxnD99dfjd3/3d7Fq1SoA6LFGyS7405/+tJem0WhgwYIFQRp3/759+7BkyZKgzCVLlqj2xVtvvRWf+MQngt/dtAHoZzNY0Bbp4rs/UVs7RV8m29GPEydAHtQSiaL3u4mYExLub0LrQyd3GnUR1qEb5EnlTonAiJE0CXyC0hY0ayKRdolSfaSyLUjPzf1elNHxJu7CfBf6HfFJXdPUaESRkghajyqTO1/MOWnRFr0UXxDLcVTrM7z+7n+JFPDxyevOy48t4FraGFGS6sKfcWiS5s82/dlJfTtGFGPE2oLrI9rbxQF5PpA2K7zefFzG5Cg1vfr5Zro2cfKIT2qdrPtzcf3112PDhg0466yzsHr1avzlX/4lfvazn+GDH/xgZTleTahMdq6++mr8y7/8Cx555JHgWhW7IE8jpbfyuemmm3D99df3vh86dAgrV6700qTs0sMOL0dMafdpu0XJHBIbXKkdmi9IXOXcRXc8FJ3u1MLJtsqOx+XF21Zra2knz3f79H+etvgctjFdWKgmyZ7cQtMh3VFLdQ1/K3fmWhrpunsuAD9FOVZ3maSl/F5lUu+iOPiQLxQcluZQkz0kIx2vL/PNQ44/hvaMy7Lrvfey8bQFUalBG/vaQZaWtpRvMGjZWt2cXDRyU3t2kkbO0lzxfpFq1qVkwtVFIi7ctOd6eCqBdZ9n47B3PAOFNtZdWzlJy9PqQ5MhlfVYaXkmC5dddhmef/55/Mmf/An27t2LVatW4Zvf/CZOPvnkYy3apKAS2bnmmmvwjW98A9/97nfx2te+tvf7smXLABSameXLl/d+p3bBZcuWod1u48CBA552Z//+/Tj33HN7aZ577rmg3F/84heqfbHZbIr2SrqrialctYkiBZKPAi1PUndzebicmr+ItCOWTBNaeTGNSmxXHuYbTvra6xosAqfvPmPmxTwSyzUCFCnXqiKlfhIZjOUnE6x0wqZBqq8zzdL8HNnlJghNplg7ppiZUp5NDbLJjqfn98a0gxqxi9WL+63498oO7E67yts9hqJ9Gr3PMbO55oul+btpGzlHJmibWERY7qM+keIvTeX3US2ORNz4Ji5GhCcDkx167nDllVfiyiuvrFzuqxlZZGdsbAzXXHMNHnjgAXznO9/BKaec4l0/5ZRTsGzZMmzbtg2//du/DaCI73/44Ydx2223AQDOPPNMzJw5E9u2bcOll14KANi7dy+eeuop3H777QCA1atXY3R0FI899hje9KY3AQAeffRRjI6O9gjRICEvbHXw3YlLK33uV0sjTd4xshPzO6GTAJfbMjvEJlVpV8tlrwKLbGoy1chOzpVN61djE1x4f+iYqpFQDt6mfLccX/z8nWeKfCnox/ExzIu2Y1yzQ7VUKc7dbhHnGgOOmLaREni+qMXuAeRNUYy4aebgMs+iLi7K0NpE0LHN27GBNlpomJsdjQzGnluZRifc9LmUepw04iVtuKxxQ8unRKkstTzxOjTBd8bz95+F5Vd1rFCQ+eoyHW/1eTUga1a86qqr8LWvfQ1///d/j3nz5vX8Z0ZGRjB79mzMmDED1113HW655RaceuqpOPXUU3HLLbdgzpw5WL9+fS/t+9//ftxwww1YtGgRFi5ciBtvvBFnnHFGLzrrDW94Ay688EJs2rQJX/jCFwAAH/jAB7Bu3brKkVgWUhdZLXJJujc1akVCbLGyIn04LKfsHM2OpbIvy7LNJJYsOeSGf+fmj/B6mmo/Fxqh8U1VPvHiyJ20UvoVJ+l52iL9MEiaB9cOcpKYSsh9U1VX+T30cZMIqdMwade57PRabLfPyUBt/N8Surk7dbGlPnbOMVfyQ3EmsJicrj488pOjMe5ro5nSQrKja8tjmh8HanrSrgFycIWfVtrYUH/FUkN1vGh1hjg2yCI7d911FwDgLW95i/f7l770JWzcuBEA8KEPfQhHjhzBlVdeiQMHDuDss8/G1q1bMW/evF76z33uc6jX67j00ktx5MgRvO1tb8M999yDWq0cFF/96ldx7bXX9qK2LrnkEtx5551V6qhCst1KIZaxlzXye2NIWQioKlu+Hn905UTkn1pbvscqbaGli4hDzPE1d1dt3Rvb7dPJmO+KXX6phEebWLXFJaYFsrQDHdTEE4UtE5QWIl2msa+HedoRhjyttohxZ+sqJE7TxvAFKhZSTvOU8tGQauKzTGCaXJaJjxOpLnxnX0nzUkUzq5mMuFmS9zPu55JixqJkiBLMUgbLF7L0uamhM+6zE6bnJjLuk1Ok0c1kxxL9h55Pm5cfDAwzxsbGxo61EBOBQ4cOYWRkBB8dvRqz5ofvH9KIjvR7cZ+9AEoahlQyE3Oyte4F4gs2V8vH8qf3STshaRFsJjhyU02HNTnL2ht9oi7eGl06F7s3K9M0NF+J+NBdtau7BGuRyUUsbJ/LKn2X7wm1ZJyYWI67/nc+XuR+0IU7DVs3yYVlyeOH/sY/a6Q15dyrGFLJTlFeXItF++RhzBYXZenZS6HnnFzEnMF5vWge1kYlhew0x0+Xtsqi6Gdh5podPl5p/pKDcmv8iEhNNoqXD7Xx8ZG/xOjoaFI4dxW4demK0T9BY/6syvm0D72ML4z8fxMq61TDlKeHNTap2GaodG2EvhimTUJ0wecLJt8JSgssvc5pBicU0lku0gQigU7KutmmI07+PB9ari+Pv4BJRMgyBRUvgiyuu8mNyutKpg6foQamJDmxxcMK3ZegyR7T3jlYkToy7OguS1YtjfX8XT2cxjAlbwdK2DVfEJ0c6DpX/gZ2TvBi5ChVbi0/+ltX6POxvOjYp9FC8vjTtYkSWaJEwf2vmaU0eSVHdQpengWutaLlFJGAfr/Q+n65deCa25b3/PtxMRji1YspT3YcuFq1+C20Q/PfHLrQ7e6S6cualOjiIMta88qLaRtSwP1lihJCuV1airAtdJ8HJ39Yfrd3jZ4oLUdX8J2mbr6ooXiPUenH1PUmc3nnGp4KS+sWMx02vN/sxT02kbbRNH0wqNwpv9l52GagGCnS+rdrM2qS0+qj9aPYxkPalVt+IdJzl6BpL1OQ4sfm8uVExZortPHFx3DqfMDbznKmBmxnZ3pd1rzZPkIx7YrUptYYs557SZAaoswu/zqr12Qgd1Mg3T9EHqY82aGDizoYS/45zk5eY78X99o+LnxCkiY3itTOOgjbLB/MTrvC28KaoEK5uFNgbHdp562THV02umvVyJamlk+RjcNyguawNVF6nrGFSLo/RR7tWmyBl7R/Ujt0UUcdXY/AW/1fli2tnryvSJq6MF26T10MpTYk7sztFlOqfZX6ZCrxo4RHGnNyO+TVXSf7Rf7FmV2yBtaNPYtQ50QhcVJA5wuubZTGcm18C8Tvp/U5FsShgxpO6KPcoTYqH1Oe7FBIC542sWg70NjA4DtbaUA5rQ49Cl2yyXNHW3cNgHrQlss/RUOhyR77nfsMcBs+LZtPenTysgZsjbWHJhd9S1HxW71Xfh3xiYyr46k2LRYp4mSwvkug/SFGdKzfNWhtD0A4syTufs81cJJ3Vhc1HMac5D7kkEo0Kemi9dP6Er3m2js1XLqUzX7nlTUv8P6rLdpafqEs/plBqe3synHPsMoiKYWPW6+TKczIGtnJOxxSg0aAeB5FP9DzpP1nSCCmNqY82amPL38SfA2O/sJGvnvQ8rJ2WrEdhyUfza+sSwu+WcrXXnVRC04tdf9bGorcXY4UFszzpG1TLJaN4Dq9XzIzaSp/qt1xcHZ+KU+aryV3FS2AtrOWoJVZxX+nKixSJJWZosHTrknX+W/SGJScaiWZYxouqR9YSHNoTtdEUa2X2xzQPm1tTnh+qcdO0Hu1eUiDPs+FplB/DNtaYp53ijw5GkJ5HpePvCi3SZNPcrqoiTLl3D9EHqY82dHAB7/vt+MPXOrEp03gsYiJmM2cQnNOTtECuHv4jjc8gMsplPVdkZZ3DaG/DyWMsZDl0H9IDvmX7uXtQJ8blU3zB5K/p0ePhP41Yeh47uRJy7P0LDGfGwkxR9qcqCVLG0F9dixti5WXVJalXam64KeUHys7RxY3NspXPoQv02yN+25pyDUJ8rSp0XepmpfYxsQiS1YkGodF7CQ5eZ+z2upYhm9zTV+V+4fIw7QiO9KixzUTliaAHypY3mfvZviiS9WqUqd1BIv7/oTmMI1Mxc1EVB7+f1ydrmtX3OSknX0R3muH/OeAysbbPG+BSF/kBgGNbGm7aP9e2xxCr/uaQUue/MWU/yZpubSxY4H2Kf57DiQSzaERcH49RWb/vu64OUU+QLHckFQjNBak55DiWG1tMPgcQCMdLdCxTjcomgxUjpT8Jbkl7fnxYK4akp3Jx7QhOzGi41BqB8I3eId5yqYvbaLnky0diFyDo4WLF5/DMFaeVnMUpd/Luspvr475BXS8fDqQtEi5oO0PwMvXT8cjy/xJU/Iz4JAWv5QDBaW8rAm0anuUUXhyW/Rj0rLkTTFvaSSSOs9WIawOKaHLnMjFZKWIhaJbsM4pAvz26/Raolzcis1A2KdipvJ+EOvXscWT3s99pkrPubr45vM0LZqlgdGJTsx0StMNCcL0xrQhOxQ5k0m/uwC6I6ELMj9QTgozp9d4+Llla5aIUgr4PdLkm6o10pA7kVsLS0lQfHJJZbNMKRIpnQj0s+jHwOuQumBK/kExXyaJHGoRflUhmVbd7xzcLJVKeFLMgVwzGNMuaW1JHWS19uywZ0g1pbRsTbNU5ZRsXUudTlL53FYT+pRvXq6LfSw2Pw1yjB4PWh0AeIXMr1XvHyIP047spPoKVIVERrgKmEZnxA7+i12j8M1ItkqcLyqpC6abnCQfG2nxoGprDSkmBsshlS8UgK32lhYWrWy+KMhmAfl1GprPkLag8zQpSO3PVIvnEPNjSYlepPfS85M0WOYR3tb8ucT8jTRHVCm9ZnZ2z03rU1o9Ys7lXFNFT/1uot3Th3BTT/FbTexjmiwp2j+NqGk+cikEqCuki20oYmasidyMHEtNTwc1zOij/OOFtL2aMO3IjoRY9EAq6ILCHZRdORIZSrGhSwuVZG4oCY++cPEytV26VU+etztIjE9ufJfK80/ZZVsLbOo9eh72m7xTJnluAnQLk0Zo+IJulT8opKrxc6LWNBKdanKooetFDMqnJ+tySwt2yvPiz4aPq34Rtptvsi7O+G71CGI5D3R717lmh74+giMcj9XrEPoXpvfBlA2TNDflEJ2UukkbPdp2fH4rteYTr+Ud4thhWpGdmCqbDxJqQtGOg6d+PZTM0Dz5zlAeaJYKvjyoMKVuErSdqLZj18gUrYdDc/ytSE5WwPcz4Seqase/SwtbyuRmR8LkOZNK1/jO1yqL+xLFyqdtI9Wd/2aZnnwtieTnVGoauflBr5NOXGj9rIP1rHzp/f34W+RoVjgJtdqf/26ZVe1os/KoCBp6Xht/Ai5vd71BTjOqoYYW9L4Xc7a24OoW05QCeedihU7aur+SJVtMK+zyLNKHfkVUPmkTeqw0JF3UcEIfy+/Q/ygf04rsSKAkpSb+rx/kxa9TcJ+c8p4OmeZCPxwKP+zdPzlV0qBIdXP5aKYXSftg5c/NIcXuvOXlJZm5nOMiD+OPma/c7xLx0GBpJ/R78jQIKflrWhtqKqkpz4DCJ+E19j2dKFH5LcIjmSh5ebx+EtnI9SXh/arMp/+TbnMIHi2X3s8XyXj0UXjdPXenvQGKQ/iaaMPX7HS9Mc83J4MA3UDxdpfGuzQGU8Yjbe/iMFR/LoiZJy1Ic3SVQAlprp5IFGSnenlDspOPaU92gHDi4oTH/Ub/55OvNOjke/KanDspatAiw6TP4bXQzKQ5REpaJueDYOXta2/8cGLJDCe1Af1s+SVYdZWeCU9nTSSxsngaSxVPiWIMViSey8tpACRIGkarLE0m3m4ubeoZUH5euvlW0pD2C+0MllJHlapxCLU79vgKNUlO41nUq8XezB2afmOEuJQt1NRY0aQpz4qTvuI3OUKQE9PSObtoryba3gnLnGRohFeWX48kzcGQOEwPDMlOBNoEnLo7tECJQ+7uVXPi1UiRRZQkh0zue+ETBr/e3MeA30M1BClmqpQJXVqMpfK0+6uYbuj9Wjo+WUtpUn0UaDrr2VLo/jKhZjAmV0yT4OpHXx8haZ2s++l9dOHzyXFJRmJh33mbiUYvf83HDpBIUuhEbNWN1oMSHZrON+vq73uTxqkFN1ZyzTVSXyh+j5vd+UaE1r0FEJInlyVB6ofaOLb6QKHFD90IJhtDzc7kY9qSHT5pSueyWIsPX9SknajWIbts4pDyT61DUb79kkbLCba4Xi4n0oIYIwZ08pbSuzRWHqlIISpcs1TeO9juHusjVCbpnmJ5DRdMaSdd/J5ykq+9GKb4f0llpZoaYmNCk40TDq71a6FJxo2eTy4kjVlMi1JGU+nEUoN0XAKP1nT/axsMSxsp9bVBL4zS3KbNFW6eda4CDRRGLI1I9mOqK/tQnIjxOky2GWsYjTX5mDZkR54M/IiklIPWtLwlU4l+Dk44KHPU6Fx2wD6ETYs2s0xZFjQzVQppiZnbKGLEwZItpgFJVZX3C4volb1AJkMSKY5pTrhqn2sHJK2Y1u/k3bR/0KGGFI0Dl6HNDsIs6hKeO5VTjgTaJrKG0Heq523qfotpSx3C8PqS8EhyleMpTMf7tx1qn6Mp1rV9llbHIrRUXn+urXnkLSSv/unrDeGVLDRvakptE1JM00gyUuIzxNTHlCc7nfHBSp0THTTiQ39LtWtrzpnS7p/uYGPESEPuGSja5MzvpZNeCvlxeTdUbxFbdinsHXBtn0ZEwh153KF5okiOtOvmfld0txtbNCmoydMqO6bZ4vfzF8bKdSnJRsyUlIpQC5Dur8HzsGSX7uHaSMB+vxPXdOZsDrgJUhuvrl15/jX45suYD52k+dJMWRrx4uC+YnkbM9tfLFa29sLkLvzTm91vnIzRPhILCpksvIJ60rpi3T9EHqZVi2kamNg9KXlJ6emAknYz0q6JYhALCs0rdv6JtIO10rvPORM/AHHid+g32oTLEka02TvRML88M5UkjyRLuXuV+4tDeCZIut9Y6ETbEX8v87O1BPRt9dKCnaJ10r5zkwu/Rs+a0fKyNCAcxXEJJdmhi6Qj75p2hvvUaH2IbrJiTuuWrK7mDrrzuB/+z02KWmSgn0eocaPtzs2NVPbY8RxURq18yYxFzV4W3DNs9Zy9/fYs9ahyHSYTXfRnxhpqo/IxbciOdg4OT5MDK+KBa3akiCdtl5GjdXDmt1jdqIz9nDniPsfCu6W2lHaX0uQWew4pkSYSaHun3mfJlxt6LB1m1mXPLUZueP4W4cnVwFjPtINa743vNchmslg+kuOqL6/+XKSjHFImfEkTZmk63XUL0iKpyU37zyC0iVpedAOhOaLLWpWwXXnatE2hfkSHu17I14Blxiq++xpanp6Ca3FpfWg/pXU91kSnkOWEPsnOCQOUZnpgypOdbmLHTokyCO8JB6w0aUgDNjbBaDvV8nvcjFUSLXt3GduFS2VbC7018XOZUxHbGWsLOyeV0mQXMwvFYO3U+Y6cayfoYqjtsidzF2f1kS66aKHpEQXrufDvJVlKNzc6dFH3NEvawi3fG7aj9Wy7KF9s6wh6DsFxsNomxWyk5cdNbDFQs7QUvGDJlDJOpLK4Vsn95mLfLBJc3lukb6JljNFyXuXacl5PaoYdYvph2j917WyctHvDXZOlys3RSFg79pSFBkBPTS+HsqbtzHk5/F5pIYktYFbYuIQYMUuBRhwsrZr2DKRFR1Lj0wPhgLjJIGcStp5fmSbfDEq1VtzfQXK01dK7eyRI7RrrEy2UZIlfc3namlb9u9Q32uOkLhbGnAJJa8o3M46IVDXj0rw5qaFlWW0kacGqIEf7Jo0Z1287qI2/N6wJrrUq5PUj2/hGpovwLey5GquJQiFH9fKH0Vj5mPJkp1RpWqcd+/ZoOU1a9EnKDsQC3VHy/MsJLdRiWOQoLCNcKDXTQ4rWx9W5H9OQlr/1G1A+M7c4OdAdOX820m/ybpBr18JXg8haJrqr9c1WbTRYnl2AaCy0OvI20MoelJ+XZG7kTqqxPqkhdVHlmhVLe8ohbWI02aU8Y/Jbv0t5cbNZjmlI66Op7Wj1catdeTm0vNiRDnGSI5MOv4xuz19HclKmmiJuwnL3c3KTUt/JQBd1zOhj+R1qp/IxbVpMWhz4gHOObbI6Nz54rcVe8lGQNBY8NFWakCXixn12YhMhn1Sk6xqkXXKOHVwidDGypk2O7vwVSmqLNGF0RilnSHS4pqKU1bf5S4THko9+p2r2KhFNsT4Y00QUaaqdO6T5dtCygTTC67edTPRcfs6FWFqwLfn58+B9VHrW/Jqm0Sz6Wbl5kRxh+X1Ou0rDnaW2ote5tiKFoElh4rnjE/AjyKzISJrGQkyjwsdTSbDKVqDwteW+eZOf1QS0AjKU6nc3xNTBtCE7gK1Wp576sfQckrOxNDloA4zunIo8SvNHqsamij+MZqKRfAIsAqhFZxRp5HbRFhKtPMsBvI2G17ZUfvpMpeeUqw7mhMeSWapDFd8wDukYhRhS+hDPj5InSTuSa/agadvCdUnTKB1JUBVcy6adVaP5y2jPl4c/h+XmvSamw/om10Y4jQYHJR2chKeUz4lUqF0O36Ul5W1t/FI159JmiH+uoYa2IDe9ztFCAzFSOxl4hY2lKvcPkYcpT3a4WpP+7iCpQN3vaWXIh23FtAI8LZdT0zKkEiB3j39mB1220l6YGVNvh7+H54BIeWmTmYPtB8W1NbqJki8anOhQG7/cVuGu0tWtwyZ2burR5Haf5dcA2Bof7ifj7rf6RY7mLOcevvhZZj2LMMf6s/Z8NcLCx4pcdnXiqUWWhabP0qm7LDfss1ofc+ktIm2Zz1Kga4/TtGj0PonopBI9zX9Hi/bkgRl8XEtHUPDxSTV8/ZCPXBRlVS9vMmWdKpjyZIfC0hZw9Wb5e0okV3+DJdTsuAlHNplwDRBNy/OtAmlitSZ3qc3oIiRN1lx+S4YYeQh3vt2gfJqPRKL4wq6Thrr42ZdH1hpJWi6uwbC0JaH2SyfQVB6tPjn9VhsfgzQHSJuFmGxa/az+k1LvsL/rJiTJzELRZO+Ocz5m/qKrE0H+mT8Dy7nb0rJIeUtlScRL0jrRe1PHtvTdr0eoxXLpuVaH5+XeqlbIqJ/+PCg/tyGOb0wbshNTn0q7rdRFgOYf2ovDtNLCI2l2LHVrjnaHlkHl8GXziZPlz2CBLyR0cqQ7tVIZb0/ygG2ia40fD8cXXW2nae3muyQP7dnTfKWJNmZusYhfTK3O7wt33/qi6/LNMRfSdoiZ4FyIsAWrrBZ5VYSDPIZ8X6f4kQS1Xv6ciErmF1lum8xYDrRUJhcd2UYjMKfYkWT503SOttHJqt3Lr8fut37P3VDSzYBE8lLk0khj1c3gIHC8a3Z+7dd+DT/96U+93z784Q/jU5/6VO/7z372M1x11VX4x3/8R8yePRvr16/HZz7zGTQapQ/Vk08+iauvvhqPPfYYFi5ciCuuuAIf+9jHMGPGjF6ahx9+GNdffz2+//3vY8WKFfjQhz6ED37wgwOv05QnO9piR6+7/6VJIaVT8V2OZb/noMRCJkHyScOSeaWqr06sjrVxY40E2m4agWixXaxVdpwslAuEK5cvXDSKh+eV8zyleyzzg7WoSMRO+h7rO7Q8iZhoR+tbPmRUfvu77WfgQoSlhYnml65R0qLUGiiJe+kkrGmZJKfgFNLr+4FV0+zQPNw5QS00PM0O9z3h7cyfnaTh86/nOaFLREcbM2kbQP05524oU8aERhRLrXP5dnuOY0V4OjgBY32RnYk/VPBP/uRPsGnTpt7317zmNWX53S7e8Y534KSTTsIjjzyC559/HpdffjnGxsZwxx13AAAOHTqECy64AOeffz4ef/xx/Ou//is2btyIuXPn4oYbbgAA7N69G3/wB3+ATZs24b777sM//dM/4corr8RJJ52E9773vQOtz5QnOxRVyYwFzYkwZRDlqk/z/HTKRYCbnXheoYZAWzBDx1zn2E21Kxx80qPRZjy/WNQPl9ftkHnb50UalWQz7B8hufIXorSFQFpQUnamVj5OZien1Z/K5bpL2l9f0CytVVxG28fKQY6ckfOSIp74AXTF/13xHqq1S/HRSPUDc3lqZKiQp/DbaZKoIE2zI5F3vuGJLdop2lILKfOk5XOoQfONzAXv89a8049D+3THvHnzsGzZMvHa1q1b8YMf/AB79uzBihUrAAB/9md/ho0bN+Lmm2/G/Pnz8dWvfhUvv/wy7rnnHjSbTaxatQr/+q//is9+9rO4/vrrMWPGDPz3//7f8brXvQ6f//znAQBveMMb8L3vfQ+f+cxnhmSnKjTbsoM2YCzTT24kDyCfdiyRESq3Hooum5440ZHz9dsiTSMR7qgd0Wl5O1XdnMDldt/pYpgSJsvJR1XfEalPSISCthEne1a5Vh+RruVGh3DiZZ3l5MxM2jiQ6lWms80Z0sm4GjR/j6IOsq+XpLFqe/f52hVqWuLPTSat4bhzaSSSSO91WpnUzUubEXQKiRCU9RiMdsJy+tXvsYkWJTw0XF3e0KSTHU6iuLk/RvJjeQM04m/ytDzFeOo/svDQoUPe781mE81maBKugttuuw1/+qd/ipUrV+J973sf/vN//s89E9WOHTuwatWqHtEBgLVr16LVamHXrl04//zzsWPHDpx33nmePGvXrsVNN92En/zkJzjllFOwY8cOrFmzxit37dq1uPvuu3H06FHMnDlzIHUBphHZoRi0dicHdEfKB2kVlapmykohOnQiahOfCUqWpAmQq427qPc0O1K4vKUV4GQlfefX8MrnyGnLFHLFQeto7S7D+1LMCrbjuQbul8MXCXoSrVRWjkZA8p+IkS1OsmRHW/+5WgSagi/gVLupla9d6/Tu9seJtUFwtCiUqzBfFbWl/mthH3fPwo0lrqGSzDVy4ILdF/lz6je4gRKb0nQkp0uZa7WyZa20bObn6aToLXr/ZKNoh37MWMW9K1eu9H7/+Mc/js2bN/chWYH/9J/+E/7f//f/xYIFC/DYY4/hpptuwu7du/E//sf/AADs27cPS5cu9e5ZsGABGo0G9u3b10vza7/2a14ad8++fftwyimniPksXboUnU4Hv/zlL7F8+fK+6+IwLcmOBW3CkNS0/AwQCVYaSQ1rTTKh7d4yW+jOl9zZVFbLWycEh9EZ5YGM4U4r5gxKtUKpmh0pHwuamp8TvZT86OKSor6P5ZMqawzWTrckQvYir8saCz3Ww4Rp3ha5choSjVxYY8M9CYeYlikloskuy3e612TkWgj3m2TGKvVHZbQWH4daeHZqPelvrs4N+Bo1C1L9+PESdUXWIl1cMxUnO2lHZqRC06pPJF7pk+y4c3b27NmD+fPn9363tDqbN2/GJz7xCTPfxx9/HGeddRb++I//uPfbG9/4RixYsAD/9t/+W9x2221YtGgRAHhOxg5jY2Pe7zzN2NhY8HtKmkFgWpIdaUKtcs6Mn6c/4fHJVnPatMq0J05ZDe8mvyZR8msmPMtxm6fVQDU7pSz+whPuiMNrVKYqdn1/YSjLkPyMynuKctqR1zVYZfabJiXCJJX8xMiXdhJtjrxhnlyrUA8WP57WInmWaUlqBz4m6PW2cB+/n17XQvcl4u9vGOpifYu8O0TGklBI44WaZt11n+iERNU3IeVqJ/03kadqhqR8Ujcr0rNIJTvFNfu06hjBHQQ5Op4wf/58j+xYuPrqq/GHf/iHZhquiXE455xzAAA//vGPsWjRIixbtgyPPvqol+bAgQM4evRoT1OzbNmynpbHYf/+/QAQTVOv13ukalCYNmSHO8WmpC93XuG7YRxi0UM8nfvMFwcHzZRAFyptgaSThHunjFR+WiiqvGhJ98VOJbVU8lJ0DCc6MZIoOW5qz0tKx3foNE+OPPV+3ASUu0DFfICsybyQPU7sUnbfPF1J8uNh+/RzzOeJL/aW5sfJWUXT1kAb1A+N9kE+trrwTWxcFgqfeIdOyP5RDCFhyDnqoV/NBCeuVhoH/rqWIo18AnVMgy1pbmIRgv79tjl5EG4Dg0IHNZxQoZ86VDlBefHixVi8eHGl8v75n/8ZAHpmpdWrV+Pmm2/G3r17e79t3boVzWYTZ555Zi/NRz7yEbTb7Z6vz9atW7FixYoeqVq9ejUefPBBr6ytW7firLPOGqi/DoD8+LXvfve7uPjii7FixQrMmDEDf/d3f+dd37hxI2bMmOH9OVbo0Gq1cM0112Dx4sWYO3cuLrnkEjz77LNemgMHDmDDhg0YGRnByMgINmzYgIMHD2ZXsCpSFiEpRLn8q6ODWu+v2M01x9XTLhrDT9uN/tVh7SJ9Oepoodn7a5M/LX8nU7v3f7P33f25dPSPamJc/Vy9y7KL+49gDtqiXH4ZtO1SnoPf1rVAbvrny98k8pdtq5Uff0blH5crpT7SM9ZlqQv9qmn8NVi/85+9+5Nk5ve6dC5v1+5am7dZuX7fKPI4jDm9cg5jDl7APO//4vfZ3rOjfx1BLuvvMOaM59vEYczGEcwW+yB/9img7dbtyVO2b6nBaRLCHxJ9N5bCflIL0kvPNQZOOjXETD3p+XS8PKi07nou+PzoQNv1eAOfz/P/Jq5OO3bswOc+9zk88cQT2L17N/7X//pfuOKKK3DJJZfgda97HQBgzZo1OP3007Fhwwb88z//M/73//7fuPHGG7Fp06aepmn9+vVoNpvYuHEjnnrqKTzwwAO45ZZbepFYAPDBD34QP/3pT3H99dfj6aefxv/8n/8Td999N2688caB1ytbs/PSSy/ht37rt/BHf/RHamjYhRdeiC996Uu97/SQIQC47rrr8OCDD+L+++/HokWLcMMNN2DdunXYtWsXarXiIa5fvx7PPvsstmzZAgD4wAc+gA0bNgQsMBWSaUTSHlg+BVZ6PumE5XO1e6HeLrVG8iGE8g4oPiGk7DppXahKnu+QUsiVViZd3Byoo6A0SUq2/lTwCU/fccvn3nBzANVUaRFKuixxDQlP42sQfG2YpmVLnfik+qXITGXT2raLUoPh36ObtPj9kilKyo9/pn3XAs+bapUKrUpLmQfqaKIVXehj5Wp1cz5jVNvpBwyEvi45JvEiD9uXiPZzeo3nwZ8Tl4376/A8OkLe0vi2jgjg5jZ9jHcCecOQ+eHpyRzNZhNf//rX8YlPfAKtVgsnn3wyNm3ahA996EO9NLVaDQ899BCuvPJKvPnNb/YOFXQYGRnBtm3bcNVVV+Gss87CggULcP311+P666/vpTnllFPwzW9+E3/8x3+M//bf/htWrFiB//pf/+vAw84BYMaY8waqcvOMGXjggQfwrne9q/fbxo0bcfDgwUDj4zA6OoqTTjoJ9957Ly677DIAwM9//nOsXLkS3/zmN7F27Vo8/fTTOP3007Fz506cffbZAICdO3di9erV+OEPf4jTTjstKtuhQ4cwMjKC/zx6Perz5/YmV4mwOKQSHXqvRHaAQi0uqWPd4KOTp6MDNJKGgu6HJcTs0GnaBD2NtSDT61IePKrGup8jZ7enOVxLxIm3F99p8jItc6AlPydyseg4S7XP02rf3T2xNrXktcDNOal5p5al5aH1f04I6W/WpoP2S5e37+fm91c3Zvm9UjkpRIT2SzcX0EXc9eFyi1bWn88lpZz6/GC3qx34YN3PD0i0NDx0wxkzX7o8qs5N7n/3zGgb+m1aPteXD7XwqZE/x+joaLIfTC7curR09P/ghPnzKufzyqEX8NzIb02orFMNE+Kz853vfAdLlizBiSeeiPPOOw8333wzlixZAgDYtWsXjh496sXWr1ixAqtWrcL27duxdu1a7NixAyMjIz2iAxQOUiMjI9i+fXsS2XHooh5UUhuIFLFdnNt5aGGbmoMyHWyN8UFGB5+GlEiXHHBil6oJors7fq+mncnNn6Zz33ndrbKkE5v5wmD7tqRFezithUYAXFtZzumSdsMC39XG8sy5xmE5f0pELkV+qwyXB3+25ZjRiV7s3VJlOufc75MVqqHgRNkRIZ1A+88kFqXJF3B34KDLw3fSl1/D4cseRj9ZGwSJQEsaRS0fmtYRRD4GqS6/rGu7Z/bWTvqWkDIfUbmofKG2yvfdrCHtkMlBo4taXycoD996no+Bk52LLroI73vf+3DyySdj9+7d+NjHPoa3vvWt2LVrF5rNJvbt24dGo4EFCxZ49y1dutSLz3fkiGLJkiWB57ZDq9VCq1VOCvywJcBXXXMMQp1ZLn72+58c0aE7/RjZ4burfgYm3/ny3RYv1783NDfw6AuJaORETTho7aE5W5cLheyvoC3GdOILZa9m8tHkjZEBiSzlEgir/Jxw7EIe3/FcS59LuKWIHYkgl5oXWbvhwB3fJXAtiE809YMui+9d84gCPn4dyeV19svwCY8UreXSzMFhsVxfBnrooX4ytSS7TgxlYkfzLQiPIz36xqeLGprjjuApWnVHRFL7f0wrS8uhQQ1DU9b0wMDJjjNNAcCqVatw1lln4eSTT8ZDDz2E97znPep9sfh8KQ3FrbfeGj1DwEJMa8J38doiRAlMo6dCDTUAlmrYQRuE0u7XuteKHKE7Sbks+dwcCv4G51zfFgfuL6AtRpL8Lg1dFh1SJkuLSEoLgVTHWKSZhJToKmuByzWZpD6LmGZMyys1f6mMWPkpsMwjFrnx09V7TspAPErI/W71M83RnfZz+n/LC03vooWGSJ6kzYhWvqZx0uYibY7jpFGLXHV5UK22a1s+vqlslLQ10RZfL6tpSy0ztaRx73cjURXdV2oYe6UPzU4f905XTHjo+fLly3HyySfjRz/6EYAirr7dbuPAgQOedmf//v0499xze2mee+65IK9f/OIXwWmLDjfddJPn+HTo0KHgdMlUE4FDl00QOaph7oNDdzOS2UrySYhNZJrDqjZxaWp6SSVugU/OFlmS5E7R2Fj38zdkc/KjTfiSSazKZKeb0Gznbr6rlNLkoOp9en6Wmag0lbhFqz/tYtq9kmlCzk/XEmkkNBVd1MYXaLl9+OskaFm0PD7eNIJNIxxr6BItjzSuS01ySptaMnDoGh8+njte3SVSSF954cqXiZSvTStMfO2kuUnzieNpUvvURKLbqeGVTvXxM9bHvdMVE052nn/+eezZs6cXi3/mmWdi5syZ2LZtGy699FIAwN69e/HUU0/h9ttvB1DE3o+OjuKxxx7Dm970JgDAo48+itHR0R4h4qjyThBONqTrlonDQhPtHqEpVfGybdlyTgbChUEjF5rdnRMdKTKNl6VNxJImKKddJFIngRMaWhaVnbalpornO1F6X4r8cQdv2kfoibrpC0sKNHI7mfAXtfib3MP70xycOTHXzLiWBk967ppM4Y4/7GO0bCofPydH6weanDxvqQwqTyh/SLakOqZoGFMIA9VKlfnz95Lp/mpcTtpOkuY8Nt9RgpRi6tQ0PZP5bqwhJh/ZZOfFF1/Ej3/849733bt344knnsDChQuxcOFCbN68Ge9973uxfPly/OQnP8FHPvIRLF68GO9+97sBFOFo73//+3HDDTdg0aJFWLhwIW688UacccYZePvb3w6gePPphRdeiE2bNuELX/gCgCL0fN26dVnOyYDbdciaC+kzHyhu0HKVc8znhC6yliqYDkA+mfMJv7wW31VzgiK9ksFCirNxymIrtUNMCySRK0mWIk97V8sXrMJh3XcotfJPbeeS0Ka9QZ6WZ2vkdHksLVYKcrR41jWLNPPyUvIDQm0If2b8s0R0tPql+ItxuXhe0nENNP8ivW+K4vLxMrTfu6h7h4TSsl3/b4xrP3j+Lmze/SY9M0trIhNaP1Sd5sEdgDXIjs++dqiL+nhUayGFBGoe04JC6Hd/PvLfHziZmp5up44Zneq6hrE+7p2uyG6x733vezj//PN7353p6PLLL8ddd92FJ598El/5yldw8OBBLF++HOeffz6+/vWvY968eb17Pve5z6Fer+PSSy/FkSNH8La3vQ333HNP74wdAPjqV7+Ka6+9the1dckll+DOO++sXFEg1NTQ/x20hZhqaKz86Wfdxi/5AKRrT2JkQ3Lgpaccpy6QvBzuG8PrU37PORdHNolZhIfvwCFa9cO0DqmOtRKxs7QP7reY1ogTZ6sM6V76uap/lEM/zpkWqZPa1XJStwIHNLNj6liMyQHI5sYwDdW6+H20zYgNH/8pplONDJblhsdcuJ7E/Xfo/OaivfgYK67H3yFmXZeIXoOE8JebudKvh5IQK2+Xro1mdEzRvCRiWspj+yBNFrqdEzCjLzNW9nnA0x59nbNzPMOdZ/BfRv8TZs1viouopfKk0NXH+iLv++v4TrSa2Sq24PO0KaGtlDjFNA5UixXTdoTt6Ku0U/1iOLGTyufgeTfGz+KVyIczJ5Zy+i9d5Ig5X1smjVCDFZIYS4OXOulqz9EmbjLRtfow93uhbUnzSpWBIlW7kkpuLJJA250uutZcINWN9hlp8xDbSJX5dIJ+SWXuoobDmANKnKWAg1KbUsouOec2xs+odpDIDpeF5idpPay68fysYIlYfu4N8O5eCvpUtXx4WQ2v3f15ajLP2Zm5ew9m9FHG2KFDOHrKyuE5OxmY8row17HDSUC2G8t5xA/zsyYDNy0B6NEJnibUCOh2fmmyqAv3xhY2Cb7GId493HRDJ1Nr92Rpcqx6aYueO5CNqvG5DT9VJleetROUvscItL/oUh8Bm+TwfkdNqy5fSVvp31PuoKnKX8rfgaalv1mypiL3fj4u+DVLSxn6ivDTsWWC7upPfUj4gs01czGiSWWdLfiN8TLm4DAjOyVB78KP1rKeDe2P9DqdL5wmhhMcWi6XT4Pme1hnbZ2K4o3shRThuOkEbRvrXxIxjJHTIaYGpjzZAeROLO0srV1BTP0ZG8DajpmXw9Nbkz0gq5n5GSJS9I9WV7/OMYfH8jRoqrqOkSxNm0PTS+TGmoxpRIgVis93qrH21fLRrkk+A/SeZm9hKalKKkIiFh5pQMHrxhcNuQ66iYU+B7rga20pjZ9c7VWocUh/br45RT6cj8snIVzA255mh8orjeUWyj5fHydcXfgklZp7KCF1v1FtZOzsGU1zYpEhyXdFIjkppFcjke5+i5Sn5VmmbbHr0gaBtjN/7Yf2eaLR6dQw42g/Zqzq905XTHmyY3XmlF2Anpdt605BjPRoC7hUpypaHEmOlPu4RkubSDVI0RXaBKuF6bs09Hq54MS0bOmnUac5g4ftUfweal74whbTnmnPlWtsJFgTfwxcY1XK78uu1VXLQ6pLKZ9OeHl9JKJnbU64diOFiGl9sos65uCIR3C4JojK6O6hr6Nw9+nk0ifIru2LMmKncvuvk+AEQ5rHNFKpmaS1jV66tlvfNPjzUdGLOMl36eghhZyISfOpJJe7NplkZ6xbx1i3j+W3n3unKaZFi1XdxUt5aCpQLb2DtAhwtSwd5Py4dbqgcvOHvIPXTynlYax84rR8m8K87KgKaYHlRIObwHytjR2Wz3fs1CwmTa6xczbCY+7bgfwUltOtdp1rCWIEJLaoyUfzF/An/nhZvFzNt8P1X+vQTVo+/az5l7gyLa2rRmpzz84JCXR881KmD0mLFh5d9MPwFQXWBkHeTBTySWNVKrMs2z+tXatX3mYj9E1Meba0PP7ZPVc612nmZE1zFfstJH3Dk5OnE6YF2UlFbJclOf/Rz5q61w1ObZJq9H7zHU/pQkLvqaE2rhovfTgkglFj+fHQVUoIQnIV7rJ9G7neFlR2fs19b6CcjKW2o5OgFDpLozl8c4VP9KRnljIxauDpXD1SrmskK67C18iOrp3SiIR29oicv68hoONA6su8/4b10MeLy6fBb4I8/vgGgT8HDrfg+0R6cDt5XjYnHHV0e2dHScRR8i8q5bRMQT7xkmSh5Cr+XHyTlnTdyeCu5b76hj93aV4q0pVjWY5mlTd1Ls9S21Zel4hfLlEeCDq14q+f+4fIwpQnO3zhlnac8nc7okiaIJynvzTZcE2DNEgls0aVgUjVtXTS5Wm0hU763XeA9idnfs2d6SORGStvvost5dHV6JyIlW1tP+cU/x4JsQXSnuT9sl352j1aX3XXtN9TnYnTI6J0rZhEolPKTjUDaxsMabG3SWfb7Fd8fMTC060AB8mfiZfZINrIIt8y6ig8yqAGerxCHb5plNdFKjMklrqfYOlblDb38LOQpDxznjUdm22R/pZ5UzIjjW0XzaVFwdL+269bQhaGZGfSMeXJjoO08+KdPnd3TwdyA21v1xDuUnRtAlWDSyafWMSSBr67dN/5ztwa5C6d25VSGaRD1aQ61NDx/BUkrZFL5+RJeRYaOXLX5HvCXbJUXyqPlk/6wq6rzi3H9Vie2i6d9mXax9znVPMA7SdaH6H5u/rknvUjwdpoSL9b45f+TusjaVyrQibNvnam0fvdX3RbKKOOXF2kIxDKtpadl6WyaRoqq0yUy3Gsm07d7+79VqVm2N3PfZMsx3AO3s8aQO9dWn75JTSfoeKa3n95Ox8TDc8Qk4YpT3Y4QbDMG/59oYaFT8Ca/4e0mFQlKlI9JI2QpOKnMsQWA75w0ImA77Csc3u4Jofa9LXoIcsvR2pfDTT6SXL+Ltohv8vHNF250J5VaK7UJ3h6PeUaJ7tamlh+sTRc06OB+3pYWpAU+Vwe1nf/WviCWyobLU8igdJ17sfG+0iX3Of+ugjfBM5NL64MmcT6756i15wsfJ7STD8aLC2uu87faUVl0Q48lMAJCCWJrryWou2xfL2kuYqbQnMiI/tGdwbQkV9qnXz/EFmYFmTHGtjSwks1FqUpJtyRc5IA6KcM07I4mXDpXRqq6aHpHeiirtWFnwXCNQGW6aQ1fgyZ+87r10azR35cGzi1vGTvp2SML4Qxh2Gp7SlSTDZh1I59zowFzZRD5fXL1okKJQZVoDuNh5okS/NglyGZScJ2k/x2dANE2C80v4sYuIN0KQ8/oyY0YWnPSupznIDUgrxqkPxnnGw1L2/frMs3E5K20Y1HDZYGOZTHJ5kxaNqPei+P8HUWDu4Fql3hGUjyS/0g5uPj7u8iDC1317T60nk6ZzPaNzrjf/3cP0QWpjzZ4bB2dO568b9PMCi5cYNWWuSo6l8jO7wsmpbuEq3BF9spcR+WGNxk6yZWiSTStqHXGuP0R5OjoEa+GYsvhJbaXasj/Z2bg7SFVmsLq404MauiEdGuWaYojtjib+9sQ0fP4nrerKnJwAl4rJzSxy3dd0pOI2sUAP25WQ7PXEYJ2qKtBSBwsw6VCSjNWBph4aTYPsBQMl2HZiRf02PPD9yZWpPB/VbMH2Vbl28t10lPLOKQyl0eglgEahzBHC8fS6uZOh8OMfUwrchOfZxCAHHTDdcY1EkKiph5yKUBEDjbcT8XLSLDfU7VzGhy0Dy4WYyTPP4bz28OjpDPhzEHh1US4F7nYMnI70vZoRZpw4kz1w8n72C+sA/0o53RjweQzTup7VKmL/sYP8QwNy85f9vUo91jafw4kafmN8mEW5SfTuzdhkc7bqHW+yb3K66dkUxJNMyfb35C7U4Zdu2++/LWMAeHA61xqKXgG6biiXPywREj75Jfma+pCsdgWZcOI16lFsZdp/OydAxHDPT09GLbpWvBjhuiM9TsTDqmPNmpoRsQFw43cdA3g2N8gfajJvyBQk/D1cqmA50vDP6k7pOdHKc+IFTn04WN+9hwYse1SJZzNY08c9+d5kaL2pF8iqzIllzyYJuw5APYLCdlCuu+GMmlMmjpY+f6xM7xseTw0faeuZZXDJI8lkZHg+TIWvweLrx8Z85BNR/aYslJKtdW8OdKQ9U5+ad+MHwRd5D8b/Qzi8KAAa4J1car+913YK4FMpXt5/uuUcJFNV96Pw/frq5pdC10mRy+RlzXCvJ31Tmi5J4Pjb6S5JBImfT8JhxDsjPpmPJkx4KkaeELNjV7SZMB3aWVJ50W6lU3MMs0/mREJzCqLaHyaJBMYNI1952WCchnrjjUWT152C5/mZ4jhRKplLVhPrniZCoXKWSlaoSQde5LCmKEgmsXKaxnlCqLZP7gptwUh+IYNC2ghhrC1zekEDHbhFMXyGNZnuQ0r6ct5ePRkFwz48r283BtTRfxcnw0hM0MjWZyY87lS1+Iye85jNloEzJrhWynaFXp//xzeM0+9FPLm/fb9ChIm+yWUW1Fe/BjMBA5YHHS0AFwtM/7h8jClCc7dPfFvfglZ1p6H8+HOr9JOyE+oXbZ4OaOdV3UiK2evshSJ0ccVH1P1eX03T1tNLzr7j4KPvnStnFvTZbbqYM5OBIsXNYEmTrhpiKmdu9352ZpFaqkt/oZz0czVcQgPSva19y13DppJNXSbvj5+Oed+G0R5s01J7a8soMwl5WPU26ylbRA1LwojWetPLfMunI0Mzq9x71rjjov03agKHLv4AiRpY0mmmipmlt+v4OTr4HSy0fTitP2c8dulHna/lf9kA1O3mkgBTWHAYVu3nlaOlCTHh+nufPOEK8uTHmyw+EGYrMXc+Tv3hx8TU04OfMJT5qULQIgmXXCwUcXbZ2stMe9Yqi2iEZMuTIk+NobXXNFTzGm9Xd14W1jIW0XGJpFUiZsqhqXypXyGIS8VBatnBikiD+pLintELtuEUSKuHlIf078BO+YTDwNH1P8mlSPXEhnWBXPsAbq3yQTT3365OTKbWzcdysySaoTnwvo/75Z2TfburrRjZ50bESZZ3HSsz62ndzu7JsW3BnRkqwuD61umoaMa9AoKaXzpFTXMlLUbcRKrVcbTRzGbK9upRyTSHa643/93D9EFqYN2XEaiuJzSF7crtcNMudUq+3CufqWDlopEkpTvwL6gVd0UuPh4HyAH8acXnputw7bouORF0lzIxEe/37/jdL8egyWbAA/z8MPy/fzkb9bO2G/vDTH7yqwFnitP1jl0/4l5xvu4DUyQUkZ/Z+X5cB9c9xv0mdAjkyiC35RRug/AeU61XJKpFxDjmlO22xoDsG8vax+r73/zZUr99UycIH7qnCEc49vRqP9nG7BeNk0KhOQNzJcqzMHh72jJ2Ibn7D+9Z7cUltYZjJ+kCuPJKXtVsyhbdRI9BadM9sYE8uYEAx9diYd04bsNNAKzC2+Q3A7GIQOmtqdolQ9F5OK07ZIoBOPFmHBB6xEdiQzlRQ6zycernqmjtjSTs79TuXnC1HKwuMgnRHkIKnN6e4tjICxyIGuYYkRCytPDRJp4uW7ejiTQYxo8d94G/vXQ+dmrnGhhF6S2+WZ7misLWY0T+38mW7wPDmZKWWU/bykfsTz0vqA79TPz+UJ25mXzwmMhhRZY75IfDy7P6lumtZY2ggUG6lmbw4B4AVq8CfH69JEG4cx29OC002i20SV7dMS5ZafbZEf9+XiGy2H2egCeLEnWxtNvIB5vc1fEbV1BPPwwrgkDbyAeV7o+hBTF1Oe7DTG9ypNQhnKazRdQYasRdjajTttkAZpcFMyQ01R0vXDmNPbdWlEiZflFlQ3Mbu600gTek3btUvkpvxsv+IhNhlXhWbioTJZMkiLWf8yhQTHIhV8geNh1/x++o4kzTQQpvdDoEPndV1bwREz20gEWILlt6KXLWs/OByR9s0qvk9bkZ9MAumYoa9voPdrfUeri+WgTzcpZf38F9/WxmvlfrPalsvjNl5+hBL1a6HmrVqvPEk+ms5hDg7jMOZ4pIYeNUE15DV0xjUossmcy1aSs4533epn/vhpYQ7pD7QPldquem8zNcPw+Ro4hpqdSceUJzuvwQuYN96xZ+OwqDmQdiQ8Dd35+PeVC9yRcVOSU6dSJ2EKN+jcREPJjOZD4HZfqaC7vyZamE20WjxMnJuxpLx4W7l7eb005Eb6aGeg8HI0IsOJh0Q0ckmXtCO1yEz8d6lv6EOyiRYcuW5DNjdaZQ+CZHJtofa7tojxXXt6ubKJg5YvO0SXixs/f0UjHO4kXo6c9rP6q3SGFdW4FXL6DsaApkXzz+opf7f9fhwKf5bS5F76/pXjh0dzUvkPYza72vWIj9tI0Q0WPZPL6sMubfm6CL/NGmRWLJ25S99Fl0dBvArST839NXQxDy/0vh/pKzwqE0OyM+mY8mTHLZOzcRjz8EJvx+EP7NCswndDfKKVJns6OR3BbHZuTwlnkjo8rj4tpoKGZ1/WdlNuQuRyUB8cOuEA8MiMROxKU4Ktyqdpcyb+XKIjhUvTyVxre0smSeuSgjQCaM88tGxaD2qek8CJT0o7xjRWYX383axGHrvwHV+5v1rxf7hoSWnc/bI8MkrH2WrPsUALXOPj8qJaMLc484Mwad25JpTWiR8iSMd08T0M06fjjWqZJZLntCelbDoRLMePb1YMNRzF/bNxGE20vLmRapVbaOLIuINvUW496Ke0XVwYvZufZuPweN3CTROdn1yNqInMtRmdBwp50zQyEiH2N5X9bwaGOH4x5cnOi5iHDhrjQ2xO77RNieVzfx56Tk45AYU7ebrjKb67sy98sqORIb6z5KAToURWqL9QkUa7XtrZqbM2IJutBhUuGjtEkIIvgvqOPdwZU9n9tOHO2iq7lNOuM1/AqVwSeD+RygwnY30hySUc/YD3U+6gr5VnmUattBw8nJq3OR+X9PULXBvh7qfkRIvELMsvHXdj/nuOPmj9zArNrqPb08LSuapF5iIpNJ1e98uq9eaisqxybNP7XXr6rKm/oJPjCGZ78xXVYHdRms2cT1p7nD7W0BX7j9WHJa0zHc+/xCKvPWla6blTcNeBFl4W000IuuhPOzPkZdmY8mRnP05CE7NwGLNxZPzFBm7CmIcXehNK8cKDclKYM64JciRiDg6jjRe8gcS1MHQQchOWtuCWU0sxQdLfis8lQeE7Pz+iyj/Uj+ZRmLEOm4tTziIpLe7aTltbaCxImh2rLen/vO5SeksrENeE2Ol53lwOSUOnaSs0OTUtVqo2RZPdAteE8vsl4ieVORHgZZYRSbLmRuoj1Mlfa1un3dLajT8vbTxK8tO0bnw3xs2W/JBAfq6N8/mTZO+ghjnj814pi0/06DEVkvmYkh3eD8pz5pu9dqSaID43uo2gax+upeLtZ7VdFzW8gHk4jNm9Mpy87n5qvi9lbcARLvqcjrJDXScUQzPWpGPKk51iEpuNg1iAgzgRL2AeAOBEHABQqFW7qOMgTsRzWIIXMQ81dHEiDuJEHOzZlw/iRNOvBdAXNj19R/ysRUtRpz83Gbr0tHxH5kpyZB8K6PLg5Mcndj5Z8ReKpllf7i8RJxDSuRshAaLXtbpTUHKqQSIEGhmR6sLJDN9FW2RIyif1dwv8uTrEtEp1VneqaYiVFZOXH/BpabDcda3tJPLMx5Z0aCBd8BtAT/tANw+O5Lh0DqkkzuVnaSf48+GvX6Hh1Nx7pos6mmgH7UnLcfMJbQ+f7Oj3lxodFxzhm8xoJFd5jk3pf0iJmHR/F7VeNFRM4yqZAal2poUGXsS8nsZ+Hl7AEuzHiTgI5xztNrUu3wbak0LIhzj2mPJk5zV4EU0cxYk4GFyjE+w8vICleE6d0CyNiEvrJiGq2pV2wRzcJNAY1zrRcHiapnTMk23VXJPDFzkrzB4Amt0WGi8fRW38lm4daM+a2bsuXWvVml5duZrcnWRa7vNk7YMEKXKG+kXETBD0XiCf7Lj/uRaprKtMci2y48hDDR3Uu4x01MZ9Q7phHdw1DVa0lddfu13UOl3UOq+UaesnoFtnhKIzTnbqNRyuzQmid3i5tH706AWqBaDfeZtKPkES+DlY7rnTemq+HDEyU2gEDqPZavfq3qqVsvNnLj1DoHhW9W4XjZePYtYoiiCrOoAaMDYLaDXRG0cznXKjM56uNf65DqD5MjAXGKsDM9x1anGZBaBZXAfG04znOzYLODz3BLSapTaDPns3dsNX5xT1aY0TGc1szDU3LTTEQA232QlNR2m+ivS7Tux8ItVAG/PwAubgcPlMhLHvymsZ0bQDx3Gu2bn55pvx0EMP4YknnkCj0cDBgweDND/72c9w1VVX4R//8R8xe/ZsrF+/Hp/5zGfQaJTP58knn8TVV1+Nxx57DAsXLsQVV1yBj33sY5gxY0YvzcMPP4zrr78e3//+97FixQp86EMfwgc/+EGvrL/5m7/Bxz72Mfzf//t/8eu//uu4+eab8e53vzurTlOe7LwWz+I14yz/RBzE7PGO/yLmjatAC7PWPLyARfgl5uAIuqiN+/jMDnYkGvwF2NnBy4duRSzQBdpdK01o4Qm1PTNWl/gY1Wq9yazZamPOS69gxss94fzBxb/zXvAyvMl2Zh2YVTtapOuQ+zF+be5RYO7RMp8O+b+OYiKeVfzUm4i7QloKLpPLa3yxcNfH6sWi0a2fgFrnFdQ64wtHJ8xrrA50agVB69ZPgAVKAiix44SAEgaXp7vurmn3u+vNYI4to0I6QZfTI0a6dfq5KIeSI7cgOwLDUcga1hsA2rOAWo2TujCcl579RHf9LTQ9MzFf9Gi+QGxz4KJ0yne2ccfXYhzLpLoYY23M6ZJFsFaOXU5eirFVjm+qYem1Lbpeu3brtR6paDry8tL4xSYwowvMon2f+nA4MuP6/DhmuPHHr3eL7zPqLD8AM14C5r78ChpzX0a3DjRbKOaFcVlmzTqKsblH0SKBavS5u82M1I843Bzka35KMiNFqfJAjm7vCcl+YZy8h6TXl41H0VKi6jQ9bp4+PJnRWEfR37uxJljUdruN973vfVi9ejXuvvvu4Hq328U73vEOnHTSSXjkkUfw/PPP4/LLL8fY2BjuuOMOAMChQ4dwwQUX4Pzzz8fjjz+Of/3Xf8XGjRsxd+5c3HDDDQCA3bt34w/+4A+wadMm3Hffffinf/onXHnllTjppJPw3ve+FwCwY8cOXHbZZfjTP/1TvPvd78YDDzyASy+9FI888gjOPvvs5DrNGBsbm8RjIycPhw4dwsjICO4ZXYt580/okR3H8unkW5itDmAxnu+RIXesOD2hmDod8x0JP5iLooYyasCRGUe85KDOMNqDltVAu6d9AYqFze3cAGBO67BNdjgciQBJ5+5x5GLW+P+cpNSBo/OBI6+ZKWokOjX/VFNpx04XEvpb8X8YacLNWNRfgU6AfovWxLK4P0TMxMZlSQE3g1ENgpZWkjWUxX6VBN1Ry/dLJjfZz0dqR16eJDslP/xYhZRzf7TfKdGRNhD8TC2ucaP/h9rCsJ6uDWibcA0v99Fxn52mlUaCSvnRduRaW0lDx807DlQOrkHjbUPnMloOr3cZ/q6HiUuQyLCbVwH9QFQuK9duu2vF0SIviNpi7bnyObtHdg51cNnIdzE6Oor58+eL9ekXbl3CF0eBOX2UcfgQsGlkQmUFgHvuuQfXXXddoNn51re+hXXr1mHPnj1YsWIFAOD+++/Hxo0bsX//fsyfPx933XUXbrrpJjz33HNoNov+9alPfQp33HEHnn32WcyYMQMf/vCH8Y1vfANPP/10L+8PfvCD+D//5/9gx44dAIDLLrsMhw4dwre+9a1emgsvvBALFizAX/3VXyXXZcprdjqooYWZAOahhYY6eR/EidiDlb3rh8ed+tzgcFogzRYNwJsQqN29pxYnZOc5LO35A2kTf5mv/9bjOrpo1NqozfV3KD0y1GxhTrP06aHyabslanKgExpQnqjqFsUiTTmh8NOiuzXaJjYxoFFv9DcHSjodpLdlu+v8xFZp8tbulepu+RHEQsFjDsF80ZPuifmJxMiQ9n40fnaKtDP2zF4CGaK+IHwBjtXXycbbwIpmK/PteGOZliUtunxzQvucpJXifYabI2l7SNc1MiRBC0OndbWg+ZvESLsvQ6iV1uYjSZ6USE43zwHyYaiUgGjEjmtynLmfHgbLTf/0dHhOtDkmVbMzIBw6dMj73mw2e8RiIrFjxw6sWrWqR3QAYO3atWi1Wti1axfOP/987NixA+edd54nz9q1a3HTTTfhJz/5CU455RTs2LEDa9as8fJeu3Yt7r77bhw9ehQzZ87Ejh078Md//MdBms9//vNZMk95sjOKEbTJxEjJhVOpOvAzdfjA4zvD2cR7n/sI0Ogoen+hJZodDLwjJGKCTwB8R+wGOo+ooPJJ5btrdBcsEa2UBV8iQyngmoOybXSiR9XeNXR6B5lJslG/Cvq/Bf6MY6d2FO1WysOhLcKaNkSTsXiOYR1iZeZAIkAxSH0wRjYkTY8VscjzkhZPiXxpmA3fSZ4SHQdL48ZlkkghHzMaAacmPvoGegkxDRpPJ12n8wjvm5JWxd0vjTFN68Uhab1cG9BDBbm8qfMIUGyEDqLeCzpxMnOtGg3T1/pYDR0ciY78AYKaLaveD2DlypXezx//+MexefPmPjJOw759+7B06VLvtwULFqDRaGDfvn29NL/2a7/mpXH37Nu3D6eccoqYz9KlS9HpdPDLX/4Sy5cvV9O4clIx5cnOUTRRQ6M3rOmuohgM5WTDI5b4+6Kk8G4HaYdCd0h+yGMNh1H3IhwAX2OR6kTrZKDn5kjEhZ4eHdNI0DK0HTetLzfhcc0K30nJO18/PZ2UqIMhlz9lgXZtQJ+FlRfPT9I60dDVVEhqeieflC4l/5yFWdIwWM+Zk0DpOYZETCJ6cXImaQSoLPwFjxJiZxxpcqakl/oFkD6WJJMaJR85mhgKrf2tPmX5wbg86HjkWkxHktz/FmnlhNX5RFLNCyVEzvfKzcU8kjQmK3cv4PXkpl06jx3FDEwaBuSgvGfPHs+MZWl1Nm/ejE984hNmto8//jjOOuusJBGok7HD2NiY9ztP47xmBpFGKt/ClCc7J7CB7SYXPtnSI80d+CB6AfN6ExU3c7mw9jL8crY3QdMIBb6oUvWsAx3U7s3Czp+IqpqBQnXrHDapvD0fnvFr/LwJCr6gcxIhaZl4WVJ6eo90jebbq1urgS7xzO0wL916nZl6yPVup+7dCwA1kr7bqeEVet37XAc6M5zQ5Hfo4Nek+7izdJ2lEZypzfxS5KJ51dlvztGV5lFHKBstp47Cb6sOoD4G1DuY+ZojaM4afwXJrDYatbIPu3OqZo+bGOaMv4DRjTHXHxvKZoP2Kb5IdVDrBRg4raI7R8vfXDTR7dbQ7dRw+MU5OPpyo3jenTrw8oyy7Wm96yidf/kZc9yvTfpz6V6jpK8L1/kzos/FXZvFrtHrswDMOgqM9/MT6l2vzzdntYIx4FAbT+ucz117aeDXWi83i3Z9mSyyHbIISf171rib6HgfmvOaw6jVu2jUWliAg73gDGemmocXe32j6FOHe+ap0ozlb5aAkEC30UQdXdBjLHI0Sccj5s+fn+yzc/XVV+MP//APzTRcE6Nh2bJlePTRR73fDhw4gKNHj/a0MMuWLQu0L/v37weAaJp6vY5FixaZabi2J4YpT3ZeIZ2fmiikBZqTmxcJeTk4fvKOIzgHcSIO4ES0u010OzWM/vJE4Jez/InSTZb0u7RAuclsFvudLjKvGf9zv/PJlTsZ82gOvpDxBZd+dvfyaC1rkdQmY36dXpMWCkSuu7ag5fG6M7wiLfb0O4Tv9PdZxId/VgszZ9nq7lqdaCc6de/35qx2b+HpdoqFxZG1ult46vou34uI6tbEa5pGyPIHAvyDK3k+1GneURDqh8b91JrjYb/0OyXkkn+PtAsvPodOzY7cuHFMo7s8Al6roVur4YXmPG9zQjWvvG6SH5mlrXQEvZd2fOF29aOky12v1WQtm6Rho75A2nXLV4przNpNvW7tWqMIRW/J4d0OfAOCeqfcLGhjHBifW8bT1GfiaH0mRl8z3zUA9s0C8JqCuJ1Q76Ixq4U5rzmCWq0M7CjOzSm/zxs/7NV/6Sjtky2x7biP1aQSnwFpdnKwePFiLF68uI9CS6xevRo333wz9u7di+XLlwMAtm7dimaziTPPPLOX5iMf+Qja7XYvHH3r1q1YsWJFj1StXr0aDz74oJf31q1bcdZZZ2HmzJm9NNu2bfP8drZu3Ypzzz03S+YpT3ZaaGBGoMUIHdUKxu+/u6iYAEtVc/G+3sJcswjPF5NlrYZurY72/9PA4f+nnEwdXP7cP4hDmry4T4KDFK0VHq6nL3g1dr9lCgonTn+CKNtJL69hLKK87pbsfn6WM2i4kFiwFt3YomwtNNyMFKAG0GApqU4W+eCPjKcPi7P7Bofk5xYzG0rmBrrZ4ONBMz25Pkrh79j155JiqqGySs+MI2bSo89RMlfWah3Ua92kNtTk1WS06kafW3ktfFVG8LyakO9vhs+Tn7NDiaIjluXnMPLLgvZcOcGmdeNt02YnLpXPxX+9RopJcmA4BmQnBz/72c/wq1/9Cj/7/7f37nFyVVW++Dep6qp+pNOddEialgSah4KEUSa5hgQVGIWg4gO9gjIizGgkAxmBwEV5CgoBhMH8kMeIv1xhRA2/O8goV8ZJogxOJAJG4wAqLwMEoRPz6Efo7qpUpX5/nFrnrL3O2vucU9XphOJ8P5+ku8/Zj7X32Y+112u//DLK5TI2bNgAADj00EMxadIknHTSSXj729+OM888EzfddBO2b9+Oiy++GIsWLfIlTWeccQauueYanH322bjsssvw3HPPYdmyZbjqqqt8FdTixYtx2223YenSpVi0aBHWrVuHFStWGF5W559/Pt773vfixhtvxEc/+lH86Ec/wpo1a7B27dpEbWp4ZkeDN0XDpyq56EVtuhyae6a2cNIzmwExpdGMPwlRt5QH5o/2IFlyI+DMEl/CKBigFgGZ7IPk3Ts8jcZUam2KotPlzRI+pUZ7vmgMqQb+HaM2Dhv9tr6g8jmibGK08m2Qm4nGJMi6NYkCgRSh3C6Mb2peGts1AabBvy3OTtz2yfvg+NUpZWQt87ls5KdnSU/0cpOXY1QLbseNclVmCfGNzKOZWt2bkvJK13M5P+MchKjf+HeldNLgWYugrPUjQc5nDk6vNnekbZfNaNwsk2itzW6qEXHVVVfhnnvu8f8++uijAQAPP/wwjj/+eGQyGfzkJz/Bueeei2OPPdYIKkjo6OjA6tWrcd5552Hu3LmYMmUKli5diqVLl/ppent78dBDD+HCCy/E7bffjp6eHtx6661+jB0AWLBgAVauXIkrrrgCV155JQ455BDcd999iWLsAG+CODtXDfwDmifrJwmbKJdDk0Jom6m2AUqRvZQ+aHdbydMm36BsId+19LYowrLtJZ8aXbpCC5G8T4a3W7v0lNcjFzTXiTvpxpPERZa3J6pOvonJ51GblMurJ+r0GEfKZTNgdsXdiSPVsUtZwsxNHMi0Ucbgtv4O06NJZKLVYtr4i1snT8s3XB7OwVYezXWNaY5izKltBJuHpf7TdFagZy4mOoohlm3UIiBz+jVmJ2ij2Y9xoDHwvK0yRId22Ai313s/OljAVzvuHJ84OzcOAM111DE6CHxpz8fZaSQ0vGSHD3B5mrdtktqp1TYpZdl04uCiVsAWiyJYWIjhIYSZo3DQMvuCpS9o2iKuGUxL2CQa3ruAGZLgHlBxoX2rKLhi4dQCm6u9Tec/FnXa6uVljoWYvR76OOJIJVzjT+tLWWbcmDsaNBWcrWw5R7Uxa2MsbUyxxqDwTVfeUq6ppIOywtLKKNWpi3ZN6iXTa95yRDtBWztsEj2e1yYF0uBidjmtGn1ynY3+pqkaq5HR8MwOQZ48bO9dE9J2M7BMD5gRXiU0yY73j24mDkuC6DkQ7fLLy9DarDFzWpt439gWgjg2CK53cU7WLgmVq/yofDKdi05N5w/kQnXwdHHrD5cr6bLHokkKKaqPkqzoZYRpKCbIT2WY5QTxkaLGi5ZPpuH0lI2xrZWdq5ZrSgBMSVAuVJ7GvAX12NWB2nupbuHQ1gLXOItijMooq+mCugJHjqj5KQ9C/GBI7eR9GeW5qbWfytGZtkxoTAdtDWKf2cbUWDH/KfZ9JGZ2fvGLX+Cmm27C+vXr8dprr+GBBx7Axz72Mf99pVLBNddcg7vuugs7duzAvHnzcPvtt+PII4/00xQKBVx88cX4wQ9+gJGREbzvfe/DHXfcgQMOOMBPs2PHDnzxi1/Ej3/8YwDARz7yEXzzm99EZ2dnInpdpwhtwrnS2hgCbXH0pmFJ1S0TwkG+7CcNaeMTLWrPGj+19mp6dK3sOKevKIYonCd+LBlCUnufqFOhls6VR3sXxeTVyvDwTd21ycalRZZZS/4oxGVSbUx2FuEouxzZCPpl+XEkm/I99RGnjeYpzx83kKZXnqnqorZoNHLo88Ycq8Fao68NvH5be4O0pnTNNV74O5tXq0ZP1qcn+oAR5A/WMt6OOJLOAiDMk036SnDP/T2GXUBd1b3xgj3vdSRmdl5//XW84x3vwN/93d8ZRkSEr3/967jllltw9913461vfSuuvfZanHjiiXjmmWfQ3t4OALjgggvw4IMPYuXKlejq6sJFF12EU045BevXr0emetXAGWecgVdeeQU//elPAQBf+MIXcOaZZ4bc1OIgzqYuF1mbAaYNNkmL5i3k/TQ9C6TNjq1sm7hWo4FDMiOuIHIuKY8NLhr42TugQY8pJOu3PU/KRNg2g6RljPWC6GJc7GpKfaMYC2bGZTwdF0k2MlsdXCpZKx1a/S4mSjI6kiF39TtPx+kH4BtSx7WXKiOjxsHi9bs2ejnW5Voky+IHJFOdpjON2lrG1dr0Llg7y8bfeRRiq2RLyFj7TRsX4W9TUpi/jPF+r6Bc/VdP/hSJkJjZ+cAHPoAPfOAD6rtKpYLly5fj8ssvx8c//nEAwD333IMZM2bg+9//Ps455xwMDAxgxYoV+O53v4v3v//9AIB7770XM2fOxJo1a7Bw4UL84Q9/wE9/+lP86le/8i2uv/3tb2P+/Pl45pln8La3vS02vWVkkEW09AKwS37MfG7JEIdNNx42YNYXJ5neVo+NBk1axdugnbA1Q9QkG7xrk45zSgzS2g00k6i1kmy8rvJqZXT2RL2uMpPQGWUjE2WX4kKUUW0S+yTJgLkkhXEg+6cIT3JKjFWcjZi3T9swzTLcMWtkHq76IbUTl7qYKiM3E6WpQnldnNGT0Jgj+lv7ncPFUJRZPwdMkj5npd2flOxESft4u7W2kufeuCO12Rl3jKnNzsaNG9HX12dc7JXP53Hcccfh0UcfxTnnnIP169dj165dRpqenh7Mnj0bjz76KBYuXIh169aho6PDcC075phj0NHRgUcffVRldgqFAgqFwMBXXpBGsE1UzbDO9s4G20lIe5bMvsH7TDa9vu3065JoaZ4xvA2aFCgOjfq7+qQh2mLpYmJcG2WtGFcRt6i3VoYt6XdzSTqTlEOIc2qOq850uejbaEh6aieVT5x0GjTVNofLS09jJlx975I4a+ELbEww2TaZ9oAZoy+kesvlzp3kkMQZS9sYD5cfZsiTqsIlY1Vy9GWKxsGYMjsU0lm7tOull17y0+RyOUyZMiWUhl8gNn369FD506dPt17+df311zvv/QimvL4AaR5JLp25i6HhgnDzedgzi+DynpLPNbo4w6OfAMPSHbkwaWnqFfO6+pxgY0IyrE9kGtcib9t44zI+UemiGIAkTJWrLE2aNxYeWRxc/SDthOKcmN2bmyuIZrJ2yLkUlT+srrAb8QaqZtMjykaDVneY0bKPASnt1QyUy8j6vWczYJYqKA1lZI079yT9LimstOeR9fN6tT6xqYxyKCb6/lEMqI1hLsG0adIOjXsNZdQnndkHmvBGwx7xxqrl0q6oC8Siyrn00kuNYEWDg4OYOXNmdVMPJmQSXTHBVKm47Sjo94B1inY958/0su1h5aNo1jZKydhpJ0nNKNC1SLiMsCUtSaRcUXFBePviqiCiFrsk7+MybrXWBYTF+lq9SeuU+YNxaDI/tOGGN6diaD7ZpJ9xNsKo5/RO+932zOX+Hf7dHlvGNv5MyUR454qKg+SKscNtdoIt2wyLEcW00CYfJSGyMQRx1JdEU1I1p1lG8M3l2PRoCLuN623Jhr65bB9gHgxNZn0cOYgS6jNQTtVYiTGmzE53dzcATzJD92UA5qVd3d3dKBaL2LFjhyHd2bJli3/XRXd3NzZv3hwq/y9/+Yv18q98Pu+88bUW2Ox3ohfdknpiMyU/mut5/IjNkr7wu4BeTUWnSXFkXvm3+0aocHoXbP0mEccIkRBeJE3dPNXhUifUC6lSjMMMRUmStPbGtV2JtifRITcYbXx6m4u5WWgMs2sjDtfrZnzjwDbnXOXElfTZnkfl120Gc0Ya77mXjjM7/JJiSQuNt+Q2NVwakouUttgkPUnUfpI50xiRpBI/nWGOHidSfZai8TGmzE5vby+6u7uxevVqP7x0sVjEI488ghtvvBEAMGfOHDQ1NWH16tU47bTTAACvvfYannrqKXz9618H4F38NTAwgMcffxzvete7AACPPfYYBgYGEl/+VfbvPXdH6izDvCmcP5e/xzvxlEOLkPk+GWsu1VQuGyJ+4uZSHM7g1BMbx+WtpamtNGZOMhzSRkC2Ow6DQ/RIiRWVT++p/DiGr3Eg6XaVE1VHPRIbbWwnMdwN57VvJJKRiTMnZDlRsWg4XKpOm4RI+92jVe8TmxqYG9EGMpbaN2VNraupwag+Tn+UvY+sQ457nekqgMc5ouc0J+nQlvQb2+iUHlvaGCLj5YzS13GYOYIWrkPzOPN+n5i4TTVjF1BXdanreWIkXgl37tyJ559/3v9748aN2LBhA6ZOnYpZs2bhggsuwLJly3DYYYfhsMMOw7Jly9Da2oozzjgDgHdfxuc+9zlcdNFF6OrqwtSpU3HxxRfjqKOO8r2zjjjiCJx88slYtGgRvvWtbwHwXM9POeWURJ5YgGmrwye6Zh+jMQCuyaSddDT9fzitWzJkg8u+SKbTJDk2ex2JqM2D1yPbrW0UUTFFMqzPuNqRnkVJS+IgaqGul9Gh310B5JIY7HLEFeOPJeKqo1zPo6RYSSU1cVTIexKS6bAZwtN7W15Jbw7hDVwzMuZwrVMaM8YPEzy9fC7LpJWDHzrCtjhu+6Tw4cdtJ0artSfhCvK46LTVJWnZZ1BGfXY3+1BT3ihIvIL++te/xgknnOD/TXYyZ511Fu6++25ccsklGBkZwbnnnusHFVy1apUfYwcAvvGNbyCbzeK0007zgwrefffdfowdAPje976HL37xi77X1kc+8hHcdtttNTfUhSQLO2BncrjInLuWa3m4vIU/IyTdfDXbCU2VFaeNGsOiueVqm3sQwCvc9jibWxwVg6QjiToqyv5orA2AeZ0El2eRrY+SqA3GAlKtIL+hVHG5mG+O8TIOddnvSNjGVz3G+fWMo/Bhxc3oSKmpdE03L0k1v5M8BGjqHZejQlQ/u+x5dNuxMCPFvwcvT6riNXriGI5rkuAUjYeGvwh0ycDlyE5us6pu+ALAo6LGEY3zRcT8WareOh7cHqwbKOvxY7RJzGGaP4fVOFQGb0uB3UouFzytDBnUzAUpatdsleLaTGhtjmvEK9V0Wn1RUgJNxRAFKbkZSwNmFy3jLe1xMeQ2r5x6T9pR48YFl3RFo43Pv6jvFtcQ3uUhqNFBdRfFTeWSPo1uacBM7/glpLJ9dCgLS6ZN+0Lbe1k/bzsQX81MkA4N8pJhTbrN7+WTFyDz36kf6A5C2ZbC4Chu67hufC4CPWcAyNVRR3EQ+FZ6EWgSNPzdWGVk/EbKTT68QQaGgeETi9y8dddymoLeXcAFa1ku7w+9HeEYHjbbGa66422TDI5mzGpjCPlP2YdxvLVsbaF6paoqCTh99Z7OZBlJbHnoBLwnpENEC8BP38mlPXvq9GrzynGrOJLZ6cRlUG2Iy8jabPvijk+ezrQZ0ZlijSHIW6TC3nu3FE2qhzSjZlketzeLMrbmNnRREiBXWTbmjcqi/DICM5e6uZhrrhYL8plqu73mhl5CfTY7qTdWYjQ8swPYF6+k0FRO9IyfniQzxNNRfg0uZkQ7/ekGqcFpR0qA4rqtaoydzdjapqLSJCvaSdcWvyMJpCjepK/+VaEelVc9m2YUPTa3Z61vNYPiKPDNJQ7NtjL1cZOMQY6qL0rqFccNPMn4i6JbSlIkDbb5ZFOfScaWz2f5nTVmiBsoaygi72RMOR22fiJGQvN4JMYjizLiHCAoDTFikpHWvnf4G+veXsHv8dT6KRoDDc/seIM7DCkNoBNETnGwlpIYLtrltjdcPMr/pmeybo1Ws17dkM+Vl6gh0S9X30mGSbYxSgVh2/T4IqdtItpJN+kmFy3Cjw57L/PI35PC9k04M8L7ZCwYL62eOM/lBhNXKkRzg6sikxpMa4x1EimYyx0/qWovbp/ZxkwS6aEcW5wB0N7xw0jBokaW3pX0P5ew2pjLLMxNvgyTIQmYA1dARbv9jpx/mkpMluflM5mYYL7wPjGjLfOLNPiakoE5Vm3t0A5Z48rs7ALgDj0XnT9FIjQ8s+MCXyC8v83fXXY2ef9yv4DpCe66ChsgR8G2UcsNU8tHP+l3sj0iOx25OFJ75E+dWbEvykEaz0bJtqkB4ZuHtTZoiFKLaAtpLfk5LUkZIBejxRHX9mhPQWMYXVIrzT2cbywuRkX7pi5GNIk3E/3NNzpOs62OKCY3qu9tYy1uW7VyzDkT9Letf73ji31t0mx2KJ/33LPHs/WVbS5K9b7N21Sjjf/UYH6XjM/8cMmlFkKD1jc+/1x2ZVzOXa93Z90oV//Vkz9FIjQ8s0NyDe15nkliCshXN+yw9IbSZMQ7rrqioF/8vfd7PHdjTextczUnZoYWIKka8kKQBUZ9YZpM2jTGTGNc5KKj9ZOE7DfbxuBSq8ln4YU8Wrojy3ClScJ8RT2PShclTRuLOmX5cfJp/WBTvZjl2wMJmuXHt+2QdHn1hAPRRdmHxGVm4tFhZxRqYZYJcVU8tjnCDz+2dzn2v41e8xClrYM5kGxFXkdB6Xj5SaSa2jzmDFCRMTkku5brEYG79cs1O9zmceQgUpudccebgtkJJoDmDk3MSjG0icuffMIGkh0p6anNFkF6KUj1k/ybS26CMnQVj/e7fXZoJ0Mtb8DMcfVaWIqlM0o6w+PaIJIwLabdQjyGR+aLC6letKeLH4/EhSQMStI0Nvq4ioS/05gNXk4Sg+6kDI787kmYiyhmpx4Vo904W5fISgmrS6qroYSwt1hymqMZf5OhDNohY+54ZQRrhFTAyfJtKn2S1HGpIpcIe32c8aXIZHBMeWzrEB8n3POM1tOoQ1KKxkDDMzs57EJOsNBxXITle7lY0gmBmASuxqL0GjS1E/+b6JDulrqXlBQlx7fxoXK5Z4Vktng/ZFC2KqKibGKkgbLGVNXCFGjfcSw2W1cZtdTlYjrjGEnWK3GIm942H7idhmvO0Bi136cl607K7Lj7zp6/tgOINjbHAnItidsPNu9L1zfX7Ga4/Yt8z9cc29iQCPdPDmRH5JUdthVzHYICaUxRZao5jUUUfWcM6UjBD4lUN3dN9w6MlLeMyngawpSRXgQ6zmh4Zoegic2jTuXaqSWQBBX8U4dkeoDo+BJcMiOlNy6abH/zBSfwZHB/Xn6rMs9H9MYBUW07OcsFyMaE1XqyjqNaCdcVXwISR71mk6jRSdWFKJuTerwIa93c6XepHnKNPyCsBoijjqmFtgBxb2tzq2ri5nVJwex5Nc+qYMbHhYu5kf3osn+yHZw4bXGkHK4DTUAzrSXxytIYQI3Z4WsUzX9NykSSIGLuskq/k+lCvUEkE6Nevio1UE6Mhmd2SNgJuCU1msrBdlGnZvUvjd4Ac4GS0pM4wfP4JOY6a247oyFKAiTryQkVnO6NEXZvJRpdenBKY3tWz6lZWyTpb/cGpDNlLi8UmZbgUmW5GKEgv5uZqseOoF4mUFMVuTYE2X/yGoT6aEu+EY2lF5zcdMObfSbUV0Fe8/ChrRU25kG2xcyjz1dOi0aP1jYbLRqkpFIeOFySzCgaohhqehakp9uzdCkUZ9hd7fIOeqm4pJHxJmB2AgPlMINjD+xnY3DivJMMCqCpBUz1ES2GtEFo7pgu5iZqItsQXpj1RVVzH6f8nDHkNNvq1hi9qLgoLsStI4mUxQXzpOnOI9WBUWk0REl3au2rpLTZDP09GsNSLNdpOao+V10cLqY2zveuNZilTdqg1R1ERLavQzKfTXJki5XFf+eSD1v/u+zOohgtSa926DPXynDYjqCsaAmXPFwEv7sZ6Qzrh4AdNdcy01RgHL2yyqjPQDnlyxLjTcHsyIkHuN1RNaNbu2QnzPAA4QXQFgE5mIgZn13IoOR7HGinruBUY7+vhttO2NKYf5f8n3xBdUll6HdqiSuN+S68SNeyUDS7jgAAXXVJREFU4QT1h6UlSSQHcVUSWvqovDZxfD312xDVh9o3ij7Fxzv1x5FiRdEDwDlm64GNFvcc0TdZjmATjRd/h68bUQctDS41OYG3ybZGuGzFko5Bt1S3JNZLfR1NAn5IzKCMokWdGbw3Pc+C+nIwD5XjyEGUUF+cndQbKzHeNMyOPF3wn97v4ROJDBJoO73wegjSLVyqSTTvKnlq01zPbQyU1m7eNmqH/j6s69bE4Nrir/XruJ6QxqC+pPk54xI3b9IFPT4t9lvXw2rVaGbEZvQeBzZVoCv9nkLSsuNIFl3fOupwo8ElxeI0aP3aYpG+6HRr6nSb1DmsZo/+prnQWDKZsYJftreuhhFH0iX7kbyx8iio0tGi8FaVZRMdhWr06N0JbMBSvPHwJmF2om8Z9yaheSFeVHrbBiYlN/wZwMXaZjrOINlc0XkdWlv5O74pxxEVm+1zh7bnIvmgPwIX3ED6FH26d7WFt0d7J5/taUbLJcHSEEVPnPy1Sr2iVDSufo2rRgqXaU8TR20WBTlealE9AuFNvR7GS5ufvDw+L/g77fBBP6VaOMoLjujQxptGn3yvqcFk2ZJW/p6XxT2xCv5zs+30HSmGj80IHoDhCBJGAVz9nxRk82Mvfw8hleyMOxqe2ckikIvYbrslxkVzJ+fpXL9r0BYK830y0TE/4blFx/aFQ9bHN48od1Z7P5iRdQG7Rwi343C1JY4KQaMzvkGkfhKOc8KP2mC1axnigm9yNs84Pg74Kbm2xV7/juF3+piKqyaRNI7rxoJ4feMas4CdoZZtkWEoKA9vu0uSoR2koqRDrrVEG4/afPTySsYhiGmjQTO0th0QkyJqDSbGimjk4DF47CpGT42VJFzFmKFeZiVldhKj4ZkdU0lknzh5FEI3lYfVVMmigGqSDplGYzq8v8N10cLk8uTQnmknSVs+7X3UoqUtztqNZJnq8gS4JRY2KVIUnS7I/rfVXYtEQ26CY7WRB+WGy4uzidhO85rEL863SKIajesW7pKOJnnugoztRO23qSNtUgYXc55zSGKIhqjyg7ICCTPV62IyuZpbK9PFnGlSHSlVLiAf27POxrjZHT30Owd5Wn4NDy/bdhgoIxOiV5NW5VCsjg2v3yqpGquh0fDMzkQ2gTJiohHoHTE89N510uWwnRqobG2xokvsgsU2OhqvjGZL5XNoXg9R7qFR7YuyA4h6r9Xh2rSSboCuPHHyJkEcidp4IE575ILPT+jx7bjiq4lc4zIpbBK3uPTwTVye3CWjo9fvehdvPnGYRsNRzHNJRA7WpSfSxs7F7NhUX9QX7rkVXsPieNlpDLVdQhiWjgVtdd+3ZYvvVESeHV7NQ5ZpL+WpwiaO4/xFGfWpscZXMNoQaHhmBzAXJ+0mcnqeq94qRe/4Ap5EDC6NRik/txOQf0fRH7XYJBUXy4XRdtK3LZ5J3LhtFxrGycvzS/VXnLJkmlqC9NlUanvSwNaGqH7lkGOGi/3pb4koaabsP824lTMT9Y5Tns8VsoBLIiRdGt21MMd8buRYJF4NUe12fbu8KDss9S2LMRmsJfK2dM4Iudom6XEZuscJ9WCOu+jLhTXEkbK61+hCdRyW/DWU0mVR9udHiaUZN6RqrHFHwzM73gDOGZMC0Cdwhi0NXl77gqOJSPlkIqWYyeAE7+nmYXpGf2uwuYLHcV2lCaxvFNHxeaI2xDhMYBKdeJzN0LRd2nuz3hXHZDwQtelIL544UhF5u3VcaCozTaVRZGXHtemQc4d+8rvhosYpp0crS5N+ZC1zzaVS4mlrkVDGBY29+JHOOQNqroWk9tHpLIbq0dZBm+efZHpsa4qdbm1cuftfptXGWMAEBQe3euyLEiNldsYdDc/scEQZvJE6S763QeqBzcUz+NvmlRVlwMzp5j81I0a5sciTZxyxc5A2vBjqdEX3kU2VEFU/z6/lTSIZAqKlQxp0I223wbJrw9TS1GfAGYxVfXOJGlfutHyshlUHwV1EBNkPfA7EtYbgbXFJI2Q/Bxfx6oyUPJAUkTPmJ3+neW9yGqQayaWe0einNNEBG83Af/xwwtcEabCuSeNM2s1rbbgnqKQrWKPK4rnbPs12kCLDYdkfVA/RFbwPjxyt7CBfmDHKMQNmqQ4lJZ73bLfaljcjrrvuOvzkJz/Bhg0bkMvl0N/fH0ozYUJYD3fnnXdi8eLF/t9PPvkklixZgscffxxTp07FOeecgyuvvNLI+8gjj2Dp0qV4+umn0dPTg0suucQoAwDuv/9+XHnllXjhhRdwyCGH4LrrrsOpp56aqE0Nz+xwbyy71CYcFI+/c22MOhOjL6K6NCi5xEMutvw9P7nxRc28pNR9LJD2CGW/h8KSjLinS676isMkJZUsROWVC2xcxJM01Wb7Eed93LrlJgh44y5st6MzZjYmUPYZl/yY7tXhMcnpIGmnJt3U6uX187FM7WzBiHqdCzHG2uGDaNdUXVmUDTsZaSQsEVY1ub0Hib44kjbZFqnG1iRitnEaVufpUmgZW4un16ReknaZ18Yk0t+a6olUSlr9HCQdojLiztGy35c6rfXOxUQoAajUkX8Pk1osFvHJT34S8+fPx4oVK6zpvvOd7+Dkk0/2/+7o6PB/HxwcxIknnogTTjgBTzzxBJ599lmcffbZaGtrw0UXXQQA2LhxIz74wQ9i0aJFuPfee/HLX/4S5557Lvbbbz984hOfAACsW7cOp59+Or72ta/h1FNPxQMPPIDTTjsNa9euxbx582K3qeGZnQx2+4uhDd7ED7uK8hOHnPRSF84ZAk2NZcurMUTaxuVSA2VQAsVUkadhUhvIhV2TbIXLjfYQ43WNJVyn+nrKAqJtXWTaKMlNMFaiVYUyTRLpi4Zw+e77vWx02vqEb0p8zGbhRablGwW/HJd+tzHZcaSa0YxiwKAVq1Z3heqcKyCHEbQajA3NOymVoboyxu/SSFjazMjN3s4kSqYo3uEgbPdnQ1QwQ85kcjoovWQodKl3MA6kpJUzYrY5wH8vi/43pU7me1JV2tZwjUGiejRJFB934+5uzlEvs7KHmZ1rrrkGAHD33Xc703V2dqK7u1t9973vfQ+jo6O4++67kc/nMXv2bDz77LO45ZZbsHTpUkyYMAH//M//jFmzZmH58uUAgCOOOAK//vWvcfPNN/vMzvLly3HiiSfi0ksvBQBceumleOSRR7B8+XL84Ac/iN2mhmd2bAiLUWkx1PW7miqq4J8Uw8xLsbrUSwZHlmfb1G0LfZQ7J+W1nbLj9YXXzrhRVLXTV1BW+BRdK+opI1lE2ADESLry0oJtU9NpEj3+3oU4zFASZtDF+NulANq4tW+SnFkgZqcVw2jFsK9e1UI98J+y3uFqCaR+KiCPYbT4dAyjBSNotUqKuGSITvhasDopEXWpaVzQpAdRUrMk9UibHdt3IOaEYHO8cNGiBTTl3k02I3Gen35KNVUZJiNo+pWFJWecfnrP7Y20NTfpAeONhMHBQePvfD6PfD4cOXpPYcmSJfj85z+P3t5efO5zn8MXvvAFTJzoXfq1bt06HHfccQY9CxcuxKWXXooXX3wRvb29WLduHU466SSjzIULF2LFihXYtWsXmpqasG7dOlx44YWhNMQgxcWbjtlxiV/lhqXZ5MjTEmdyTBuF4JQp69EYHY02glx4abPQTqMAt1+we1RI2DZq+4k/2vZlrBcVl4TFZSxcK5MUl1mU0p+47/YkophP+tv76W2aXOUlmdRAKuKVItWwpSoDYpsPcmwTs2PrY+1wwCWlfP5JNRdJmVoxYsyJHAqGWlfzzOR9E6Wq0frXlS6Jyld+K1fd+rc2r5rgYSs0eyab16j3LHyvH88bRR+HxlCb0kPzWwbtCZgj/X1w4JBjx2znXpboBMSMiRpr5syZxuOvfOUruPrqq+soOD6+9rWv4X3vex9aWlrws5/9DBdddBG2bt2KK664AgDQ19eHgw46yMgzY8YM/11vby/6+vr8ZzxNqVTC1q1bsf/++1vT9PX1JaL3TcHsuNQI9IyCS2n3qVAaKbmRkh1+3QMtzLYFw0YLp5c2cNeGqS2MBcAQwWtlyD7hjI08CbpcfjlsdO7pxSVYqKP7a0/BJv3RVJHcEFbr8ySQm0VU2oAurn4L25FIRkAyG7pdTLDZFJHDMFp9pqSIHIbQbvxNkhqtPE4LEEiGODOTZ1KiFoygHUP+IYC/1zZ4/tymUnMdhKhfXNDGYRIPKo0O+luT6Nme8z726AnUj/yb8bqSSq6SQPYjnwOcoTZtwrhkx2RtuORImg7w8mnNjusYskcxRszOpk2bMHnyZP+xS6pz9dVX++opG5544gnMnTs3FgnE1ADAO9/5TgDAV7/6VeO5NGKuVCqh57Wm0QykXXhTMDt80EdtvLbNOizZCU6x/ORJ9dmkOlSe99x0n5YiXtqIAilKsLHZ9NRevoyRjygn9keTIJkLu3ni19rA85mLZVjCEmdxzzraFa7Trg4wN3/3lQXa3xpjHJeZsJdvd9uNotWrP2zrEteei/LIb6LZeJl1BhITKl9GCY6qU84XUkHRXOHMjtYOaU/DpZkkGSKaoqSZNvWWpNPWl9r30b6Fq64gX7SEQZNcEiRDr0mjpbcVL0dTzcqxzr+1Nt8CqWAg6dPGuXwuYVt3qA2m9I5CsQbSOkLR/5mztq2MgBHXaXnjeWNNnjzZYHZcWLJkCT71qU8500hJTBIcc8wxGBwcxObNmzFjxgx0d3eHpC9btmwBEEh4bGmy2Sy6urqcaaS0JwpvCmaHYNuIyULfZhRIi1OBMTM8To72Xi5mUR5dNs8Wl42OqcaKvl/HXn9Yr03P+U9NCiH7gEsMZDk2xLGLsZXjYsJscDE7tvTaiZm/S1KWK3+cPHHz8bxyM/Oeuae/5vUTvAt7gclxZ6oZ4l1zor2XUiNJo6aCkfOPn/gJtk0xKTSm1dxgTcmS1o4k44ZUOjZ3fimtk5AqIH63lFxrNGZQqrCDvCVVoi0ZfAm5rnCVFametHFWRB6tojztO/N6OMMd7odxRAmoi7eqIe+0adMwbdq0Oip147e//S2am5vR2dkJAJg/fz4uu+wyFItF5HIeg7lq1Sr09PT4TNX8+fPx4IMPGuWsWrUKc+fORVNTk59m9erVht3OqlWrsGDBgkT0NTyzU8ZEy3ONsckBykmzLNgLIDipUrqoSe6CNuHCYnfTaFLeFyNF9Nw+QSKKsdA20qgTWhKEGYT6DDelZMbFCEQxOra8NimdqQ4KMxZR9dmYqCjUms8mxdJo8565g9dpDLj2juoz39s3GinN4gcMvV36piqlLDrTZ/+22vMwrWH7mnBZtXky2miLQ4s2Rrjah8D7SKPTtpbZmFC7FC0sgeLppNQpizJy8NTynBEiCRC/NNdUbLklagWrqcI4Mj5l1KfG2sNCqJdffhnbt2/Hyy+/jHK5jA0bNgAADj30UEyaNAkPPvgg+vr6MH/+fLS0tODhhx/G5Zdfji984Qu+Ku2MM87ANddcg7PPPhuXXXYZnnvuOSxbtgxXXXWVr4JavHgxbrvtNixduhSLFi3CunXrsGLFCsPL6vzzz8d73/te3HjjjfjoRz+KH/3oR1izZg3Wrl2bqE0Nz+wAcsGQ4dTNE418Tr9LmwItQjJXY8kyOOSCz9MFqizz03h1cfWSvmkF4t5kJ3++AHAxuc1rTG4E/Ke2+CdB3PRyQ5Pv4mzmSe2J7JutvpBH5a/Vviju902SNo6ULJyGx92Jx7zUgiQG/baN2V3+2EgN+Xuz38zDVT31JZ0f4Wc5yLWuVkZPQxb6QUZn/qPsZ3IGg8MPfdoaqLWFwO3FvDwBiwTsedvCNxKuuuoq3HPPPf7fRx99NADg4YcfxvHHH4+mpibccccdWLp0KXbv3o2DDz4YX/3qV3Heeef5eTo6OrB69Wqcd955mDt3LqZMmYKlS5di6dKlfpre3l489NBDuPDCC3H77bejp6cHt956q+92DgALFizAypUrccUVV+DKK6/EIYccgvvuuy9RjB0AmFAha6AGw+DgIDo6OvBPA59Gy+SAwbGJkvkpVDsNSoaHTgh8YdPupZHlczq4uJ/HKOEqrODvslGGSyWgpZf0BM/cp1qZxib14AsFp1u+k6jXoNl1YredUsPP7NIOvU53eo0WLW/c+lyIw0S4PNVk/0cZTNu+jc1V29YXcTZROQaTGghzxMmbdLOz2dxJSYnm7m1rv4sGzUYoSuIm02iG2uG8uoSOl8XXBMno80OfzbA9KM/eF5IWbU2UXn2cPp4PCFRcQeyekmHrNTJYxEUdP8DAwEBsO5ikoH0JbxkAJtZRx+5B4M8de5TWRkPDS3Y85iRY7KN0yUX2t0zr8r5KprYK2+dwJ/aw7UMwKXk+XpZt4SWURFujJC+ahIaXoW/kphja1teaCiuOK7sGlxRN22hdp+e4qqEkJ/taNvmxgu0bu1SI/HkSQ3PN8JWjllOzruqwM5IuRI0rFxOc9BvKQ1Icm5045brSye9rn9MZwKHi1hgdmVaTxtjUhcHaqd9jxg+SGkwm2pRI5aoXfbrU8p5ROz+QBuYHXqgFPhfG0UC5BFgsLOLhjWdLvdfR8MxOED85vCnaJ2j4FFIW5WhqK0qvnaLN05S34FDeHIpVWgKRLWd6yqJc07DOvLiRM202VRP9Xou7tGyf5oKs0SPrjtpA4m5qsh2aWsi1iUTlTZrHZg8RpltnDpLEQ3J5U7kQZxN32X7YGSe75C+OlItDo00bI7WosjQ1r238RdHJ6Yg+QMSXaNQDV7llZAyVuJYnjnTU1V/ykONS/cpDJX/n9WlYmsXVWNxbi6/DlI5/5zBj5a2d+SrTtEulcg9hF1JmZ5zR8MwOH+Aupsb7Oxw3xPVenlbKbBKF7XJMJqGMbGjS8rJyCDMWcT1jbP3gAvURj8PBpVwmwjr/OOJ3nfZ4qiaX6D688Ma3ZZFwuee78sSVCvEyMo7640CmrVclpiGJxK1euxwJW+C7WuuKUjvJdEmgScH4RhtHshOmtzYpVr0wpTm5WPVr45/3M7f/A/QDJT3XpbWBiQBf71xMo4zV4z3jjJon9aF1PH5ghRRvRDQ8s1NijI6M6eGaZJrEQnNVjTrN8VMkF8kGumavZIrwSpBukbUueDb6qQ5NcuOCFlPEZTyqL1w8nVskT2XZF7R4+aPyJKFBs09KckrfU4aQSWiIw8zFkVaYZY5tu0wVg5Qc6hLEeOWGgylGSYJs5dB7TdLBpX5ewFI9vw2U31VPvZDqciBsT+iy89EkM3wcFMTfpsI+vHZo5bmkTkXkjPvXzLZ5dNN721qUF+/HBbtRnzdWQ1ra7lk0PLPDRZ0u6Y58L+Po8LQ8ffB3OP6HXCAofVzGRYrabafZKI8GTQoFhCUDLrWATKMxilJ8TAgvhmE1mSuoYJSqiJcty+f562Ey7O60yZhD6ZWTREJRr+u/q9/5M9vfLppc9jo2RH1Tl92ZZATigueLsuXitmdJ+0keHqRkxwU5Rih/VMiIuAiPSRk6wWR+8ihaJZ7e2hLYMkrwdZT+1u4UJHDzACpf+51oyaCMAvLQwiPQIVJ6lsoyqL3jyuyUACQLAGwiZXYSo+GZnSJymMjuYHbpluV9V9ptwQSb+JQmlozRydMWRFpPZZRHDmGvMYI0HPSemRPcxYyZtNhPtBpzpS0isjxeTvQJ1rQzcuWhNC71TpSaLSp/EiRfEPVorfx9LZKn2mDSwlWVSRGnz3k67V1U3Zpkx/beXY6u5kyiGo0jlXFJmbj7dByVspbflib5+Mk555VcA4aQ3DvPo0M/hBHjIUNo2KTtLpsel9SJ95nWTo+xyjnTpGgcjDmzo92/wS/tqlQquOaaa3DXXXdhx44dmDdvHm6//XYceeSRfvpCoYCLL74YP/jBDzAyMoL3ve99uOOOO3DAAQckpqeIPHajNcS8SGlNwVckBacOW1hxIJkqghgVfsMzv7sHgBoE0LaIBeqUFvYuvEhEieE1mAtTmCkJp7EzfoSkruc8T1z34ihvjrHEWKmhalGBjWX9nIZaUY80p14kZa54GpeKzqWuJGgqYe0gxd8lYUqiDNeT0BYHkmGQDA+fj/ydvMzVXF9N9RA3JwjsbcLhKaS03S3pCdtH2jxS5bNy9cvQOl8cb2+sVLIzrtgjkp0jjzwSa9as8f/OZIIB+vWvfx233HIL7r77brz1rW/FtddeixNPPBHPPPMM2tvbAQAXXHABHnzwQaxcuRJdXV246KKLcMopp2D9+vVGWXFQxkRk4U0MGe8hSJP1GR1NpxwXpks5j+FAlxUOA6AbmIv+XT9een2SykWZq9ZcbvRxpTyyPl4vz2+D1p/hNPGvyoiTB0h2QanMJ+HaWOJIx5JAUyWNJepVdUVJ8eotz6ZujDJKT15vtPRESmLqMVSOkzfu99a9nVzMW/L76JIehKK+hWQiomyp+JpkMy+wrXVxac2ijBYMG9+aq+OozDzzjB037ELK7Iwz9gizk81m0d3dHXpeqVSwfPlyXH755fj4xz8OALjnnnswY8YMfP/738c555yDgYEBrFixAt/97nfx/ve/HwBw7733YubMmVizZg0WLlyYiBaTcXHHe5A3mUu1l4TtRKFBnlCoTs1bIwpUllwYgnKTxfDgbuqEOIHLXGXHXThsRpfBYqwvylF2SjY6tLaG89hVl/ViXBfUGHDZRHgIe8Fw1Go479VnVx2RXZhLlZqEeYiXzs3UJzWGlmM4LuR8jrJNqscAX5NySfscuTZpUqU4tn4yv8bUufLFcQrx6KA4OkWfXdIkawCEGivlIBoZe4TZee6559DT04N8Po958+Zh2bJlOPjgg7Fx40b09fXhpJNO8tPm83kcd9xxePTRR3HOOedg/fr12LVrl5Gmp6cHs2fPxqOPPmpldgqFAgqFwJtpcHAQAEDqK4+RyVsnyzBaMYR2a6BA6bHAwScRTUceGDBYsL2yPEbFHj+C6rfBZtinpYsDnQb7bdS11hOHhrE44Y+1lKDWuvYEHWNrmBrf/dnLbwt9EP/Ub+aL3qRdkgHXs6j4RnGgzVHtvUxTr5t+WFIbrD1x7FbiqMBcEjytXTbj6ijPLQ30PgvPuNjzhiqGDqPU9mANLkGu3ZxxIlqlVJoMmOmdvFdQmgeMC8pIJTvjjDFndubNm4d/+Zd/wVvf+lZs3rwZ1157LRYsWICnn37at9uRV7PPmDEDL730EgCgr68PuVwOU6ZMCaWR17xzXH/99SFbIYAWBPNv/hOgyR9WXcmJxU+bWWOCezY4rRjx37VgxFdTUcl5BCZwUirk/QzfNGxbwLWFQWu7DeaCoEeYrrXsWjCW5Wkb9FgwZPHrjyd1qq3s2stMmjesSrHlt9u2uYyg65EKRdNkT2uTtNhUtzapQLRUzFa/257IVr9Wn/cuMH6OA5dERXsubXbMd+alw7mqQYDGHGmqqjwK/ppLqiWNhsCoWb9fS5Pw0HrOv7fMvyds+mIjZVjGFWO+A3zgAx/wfz/qqKMwf/58HHLIIbjnnntwzDHHAIB/4ymhUqmEnklEpbn00kuNC8YGBwcxc+ZMAPKkEr6lmp4H8Rh4/BldshOwIgEjI5kb/rsU99qe8/qLyLPN2qTZm8Lu02FSfXxc11i9DLuNTy2bmm1jiDqV29pdn/2H/YTvYqLGYjMfjzI5wqqkaMmOzOdS+fDvmpT5imtHZqPVRX94nNnHUDAe4o35JO2M2y98HasX8uBlYzY0lKvrFDG0tOrx7y/Ls6ncy6CwAKZxNMmvvHfm/LaFqighYxwuiQaS/XPLTNkHKRoTe/y429bWhqOOOgrPPfccPvaxjwHwpDf777+/n2bLli2+tKe7uxvFYhE7duwwpDtbtmzBggULrPXk83n/avlaICUpmqqIJgS9acWwn0sGCeTiXa8su2hYwiVdovdULgcXcydhOLS4HlELrmtT5GlqWZRddSeNTcPzEeIwTK7nydVq0Sf6WjFWjCVnwrXnUTAZ8fhMRVzEYUZqKcd8F0/9qKWLanPSMSDnjcY8yYOTC0kkGBqNWkBVSQ/ldQVH1eoIGI6Swcx47W81nBG4xCZYq7z32oEyK/qIe8CSpJ7aV0wZnobGHmd2CoUC/vCHP+A973kPent70d3djdWrV/tXxheLRTzyyCO48cYbAQBz5sxBU1MTVq9ejdNOOw0A8Nprr+Gpp57C17/+9cT1e5MnLB7mE4ZUQsNosXpsSSYmx27bpSidJL6Vol0XNGM9OZnpmWuB4Qsqly0B9gUnDDLONtsf5cHkamfSRT7e5u0OYR+lvqtF9WGWkUx9wdNKuutVdY0Fs2Ojg48DlyEqz5tEKphkA66l76JolWldaimXkbE+RkzmRK4/NGdtZZhqKj1CM6fbFocnXI/9EBfVPq1/JDPGy6J1kQ6CNvA85BQi1z8zZk7eeE5SH9le2S7X2pxBGRPG93asFOOMMWd2Lr74Ynz4wx/GrFmzsGXLFlx77bUYHBzEWWedhQkTJuCCCy7AsmXLcNhhh+Gwww7DsmXL0NraijPOOAMA0NHRgc997nO46KKL0NXVhalTp+Liiy/GUUcd5XtnJYFUKmkwVUoFf5Ll/PfeiaAFw/7JwHbdg2vSuYyRpZ1OQXhbUTrvb3PByrBW8vc2T6a4/WYL1uV6p8H2XtvAtIU9SflR0oikTJfrVFqrGqGe/PX2TS2I8rjh7UlqA8HzxklnezZWTF8UbOMzTt8mjR0VBzZmiL+vpUzbM+pXjXmphWni+cISm0zIqUSqEINoPbqNE2e+ycaR3tM6vqfGSop9C2PO7Lzyyiv49Kc/ja1bt2K//fbDMcccg1/96lc48MADAQCXXHIJRkZGcO655/pBBVetWuXH2AGAb3zjG8hmszjttNP8oIJ333134hg7AFDGxOqwDp9ostWnpN8tY6TqjUXW+sEi34phtGLYn+TcIJnKkgxOXHUH6aLNOgPPg6BO3i6T2eE/5akwuo/COvUotU9cjw3bRmk7WUadkuMgSrITVbZtsTdF76YkLW55Sb5HEsmEDWPB7MQpX5OG2lDPZh/FHNXDULjKdjHsccpzeTFFlSMR1cdRwUl5nWMxxsJS6OCqDIpSLOdO8Lu5tpBnFiGHgi/JkcxQETkMo9W/kkJba/g6LNdoAIanVqrGamxMqFQqDWkTPjg4iI6ODpw9cANyk5sxjFb0o9OIq8AviBtCO4bQjmG0+OJXztzkFbUV2ewA2iYadgd1qaXkiUaT3JjlxztF2dK7FjRJW1R9YyFJSYo47sDBs7A6MglsjJ1mOxXl3l2rvVGS9ka5EUfRRm2LQ3uSmE5xxoIrrg7RBuh2ay7373rcs23u1HEDdUpabRLeuGXzsjT65GEjrMqqb23Q3L01ujh9RIsWTJXb+ITrM9fMYjX2POAxO96a3SrWSvsBlKvUTKl/FsXBEfx/HedjYGAAkydPttJUD2hfArYCqKeOQQDT9iitjYaGvxsLCCZvXkwqKQFpxbCfhlzHeUyGPJP4ECNE6blKS05Q730AmrBy4eD0hFVX8cX8us47fowVvghItZwmzeBMoLawJ90okkCe5rRTtC0PIckJO+lJ2HWir1XSMpaRl6PGiFudZ7smgKdJLi0JynQzqVH0aXRKenmaJMwQh/Y9+Hfmkdl5W5IwOnGZPBsdcoyH+zYsFbbRZGO0bOo0XjdFNOYMDj+AuqLWe2qt4MofkuwMo8Wy5nrSd2Ku5Joa2PAUq+WNqvXuGZSq/+rJnyIJGp7ZKaAJOXhu2p3ot6bjGzYH11FrcXP4whVXikEbMhfP0t1cGmwBA22LZ9Q1F5rkRqOPn9yofRojpem9bSo2/i6umi0KWt2a2onXzZ9HbQRJEcXExFVTudSTWn6+mOshDXR1CsG1yWrvJeMmpSE8fxxJUa1BGLVAezJ/LQE2bfVESfcojWy7Jn3Q2qDXnWxMjZVElR98gPgRkyVdNCZJkqN5TgHeoZCXLaPYcyapjCzaMRSyb7QxchrMtdMuYUrxxkfDMztkl1NAHiNoRQE5ZFHGpKriqhUjAIJTA+lw6f4qWpTIAJnK5MwPLQY8yJ9czLiXl/c+rPbiBsUa4xW14LgmtbZYSjUa7zMJmx2O7SRnYyCiFsmki2i9SKoOlHmSqgSSqAfl+7hqpChVkAv12NMklajFYbxczJMLcSQpUVHKvZ/xGHLbt9HCTMRVEfJyko6zpJIuDpdKz5ZftofTY1tnAG9d5eYAUbTLcoerazrRzQ+tBeR90wR634Jhv330foRdqDx+2FX9V0/+FEnQ8MxOBrv9TZn0uxmUfOYnVw1TPoR29KPTt9lpwQg6scMITBWUGb61HHCfuMmQjp+AbQtC1OnMZg8UPt2ZcXfMxT/ZYunaOOIuVDaQgSHAF6xAYqAxS0mYIq6Sy7B//D2n3yVJ4adyqXq0vef5ZXRZOQ5s+XnZtvw89IEmgeOqWDkOMygbkkuuMpDvZX5evkuSw9XIsm4pHSVpJ8/Lvw2NGapD0i6lWHmhZub5ZfwVbVxwdbaN+ZBMpms9kN9c2q0kdRBIInnVxruLgedtKCNjGAQnmU/8PX33FgyjFa3+2NBspbjnFy87uAYo539HTcJOB1rtO3PJUcXhHj/2SNVY442GZ3YIXdiKmdjkLypFFleH3vOJEmdT5YsZN2AOYvcEl4p2YZufngzrhtDuT3ouRaLFOM6iEbwvhd6VlBOLZlvBNxtSr/EFjccQogWGVG4ZlNGOIf/ExBcgwJSCAWE3e/6MtyWu+iOr9J38PvJbabBtktqYCOfVNzmtjgw7ZVJfa4wulWOzlZB12+BiiiWipFCyLRq92pjl/So34bjQGAaXZCZgboL6eR5N8sNt8rQrDzQDY3perEbe4nYglG6k6stJc0Y6N+iMU3BgAdxSLxskI0l5iV5eF5+fckwmgTZHXIwUrztqTEmGn9NKfcJpb8EwpqAfkzCkrid5FKprl+dVO77MTorxRsMzO5MwhFaMohP9mIat/sAGzMWrHUPoRL9/CpDQTg3m70HY8TIyxolDg7axukTBYXrcTJgrrzw12yRF8j0/OZqBvcqhU7tEXHsiCZdRKtUtF3OtbnnqjbMRADA2LVf9cd7Xoo7gaeSY4SdryVDwb8bfy+8eJenhnivEyBJNLs8WOV8or7Zxxe1XOgDwTVEyM/y70cGGMyMu1RKBVNiSAZAHAP7N+FznEgTe7/JwxOvWpBk2aYp0huBt42XwsvmY5v2nrRWS2eC0S4l20X8SMHJckiS/uwRfSzIIQnwQbRTs1fw2BZ/ZkQcnWx1AtIq2FPF+bFFCfaqoVLKTFG8CZmcnsmjFNnThRRzkq7HaMYRp2IZ2DAEAXqhOM5o0nj3PsLGY009+8uOT2iaBKCNrRGemSc0lQdylMrAZChZrLikiPXdLlTHj6jEg7IGhbZJyseaLRUv1LEr56WTq0eYt1CTJKSGDkeqN8Zz28GIcVknwfrXTHl7MpBhaSrBsNgeaqoSr0Hj9tvLDqhZ9k+MSPm2j4X3P30kGgNLQmNM2mjhjksZcJ/pDfU+QjB2nIUp1GtAf5NcYYkkbxWCR7zUGwcb4cqZVMuRa33CmTIJ/N9uYI/o4bRpzFDAIpiSHvIjM/PaI6y7JZ5z0WhsJshxNusLbbDtkuQzBNaZVqxMApPEyZ6HLMBk3eVAk5pvWzZFquBFam3Io+us6AGxFFzZhJrZhGsrIYHRcJTupzc54o+GZnSLy2F2dBoHdjLedb0Fw+7o8gVC0ZLLpAeIb2lJZtKDxU7Hc3DlsCw/VrUETaUvmxuYpYmuD7aQX/DQXW5f0g+cx6whokjY7st3y5Cv17q428H4ATNsNjdYoKVeUbYg03tbsSjgDrTFbtro1Zk2TCsj3HLx8zkwAps2PtIcgBpdLLCSD7/rGSWmX7tp0OMih4G940lYjB1OaIqVIXCIgVbH0nuim8r3vFpb0aIweh5wP1GZb2iibG344kUyufB9mxExGj0cl5kw0/y7EqEoGWhvTXApFBy/u6MGNgjUmlM9n7btJRxDqUzne+NyTbdf+5vAcTFI0Mhqe2ZmEIbRhGIeiH/vjVXSiH2VkMYIW7EAnRtCKDMrowlZD0gOETxxyUkrwhXobpmEI7YZ4lyYn2QuNVKUllNcmiQHCm5TLpkeKlvkJSUqJgLDxJtHGxeZctMxjW9AmSNGkXVIsahtXhwT0mcwHt/nRTtU2V1ZNxebS8WuSGJMBMGMIuWw9NAZB5peqHPrJvznddi83Qc+ovsWnvRUj/pem93xc8O8WMOBBTBJNksI9V+S4kUwpZ360McelGQXk/DFF+cNzwpR22OKjaOOCHyaobil9HGbzzSbpKSPjv3MxEHzMEu1SlUP5h9GCnWj3pZvtVYs9034w3HYOl30StTtgIOyMmWS26bsPsb4z16JsaMx6X7pQ7XfPo0k7rJSrY7kfnT6tfL4WkPOlLkHdpgrQZiRPY26YSeRpbaJx2ooRdKIf7RhCBiW/n8n7qgvb0INX0YVt1bakcXYaGW8CZmcnJmEiMihjBK3g3hczscmfWK0Yri5AgddFtlxGplTdkEq7qz/DdZSzwHBbs7GYd2ErurDVn6SAefLIoYB8oYhMaTeKzU0YzoRdKPPl6oKVCW+SreVh5EY9UWaxuQmFjKk3by0MIze626evnJ3o05sp7UamBGSre0UpE7QjUwKaCgBehzefsgDyQKXZS5ctAxNKCEJSZLx3hbxXR6a0G/lCNU01/648UGyeqNatYYLo44oYpSW27pez9FMvn7dNgvdJOZvxv7UEffs46Smt97tWZ5hWF1z9RJD9RaB+o++mpqW/Wf9Usuwbs++IvJkutN6W2fM4K4u2f1M+WXZ1HPl/ls0xRnRzUFsrWa8P+BigMTKh5L2n8UvfNTe623gv8xvNKAU0AV5aGu/e++qcGA1o5W0h0Pzz24YgLS8vN7rbm6PK/OJ1emVORCEvbK3KBX/slrMZY+3wmZEyYyQzeZMZqa5bvHwOvm6WsxmUMkwSVC746xbgrZvEGhqHlzKtu2VjTtE3IrqGqkFEiCHijI+fh/3O78eiqPp0ABgdV9lOarMz3mh4ZqcP+yNfPV1sQxeG0I4MyuhEP2Zgsy/JkadmAMhmykDGOx2N5FuNUwOXAninm0noxxTDBoFLKzRX11y+gGw+kBiEFpyMLtrOoIR8pohMW9h2g/Jn8iVk86aRon86yheqp52wfQSXxORR8CUNpiRnxD8thdqWLyHfZhoRcmlKNh8+eXrxj7xFiKtLvO9ienflEcgQ6L1xcs2HJTlc3SHjehgnx4wpqfHrz4eNcjMoo5jJGVKqHArI5z2xPX33karci96TNCaLMgp5ak3QNmo7l9TQRtDiyyeGDWkFjTmSsNF3o36l98TQcwmdVFN5EjoeqiGQ9NBhwDxVmzFMbN+ttUptEK02Z9BONmg0LuidTR3CpYsZlPzypfSxiLzf79R2GXmXxjRJDQoZ75vTLObeiDRmuRpMXi3DN10AyOULaG0bMeYTSX35d5PrBSEkXcybawWXYpF0biTfGnpPZZczGRQyuv2fR3sLihnTaNhYK/I5lPPBfOKHxCJyHnOUMQ2aSf1YzmRQaDPno1wrCsgBGY+2rsw2dOZ3+HNCqthaMYJp2OavufyQV2yeiP48t9kpoB070Vrw+mJzfjpeRC82Y3p1ro6nHUwq2RlvNDyzMwlDaEYR07AVR+G//cVYRkzmolvAFFvLjYUb5XJGhG/6I2gJMSDez5K/2FF+rg4IVAKBWD6HIloYrcPVuqW6hG+CQ4UuFEarC1pzEbl8oDIYQjteLfSgXMogky0jky0jlwnsFYYGJmG0vx0oZYFsCU2TRtDeOYRMpoxyOYPhnS0Y3dkKjOYxcdIw2juH0J73Frwichgut6I4mkOplEG+uYiW/LARvHEYrSgWcn79EuWSXWTPwWk3FsNy3i8jky0jk2HftSyMcjNhdQblp7zSNoAgbQR4fp/GjNm+kG1TlR6iV7ad90+5lEGplEG5VGV6syVk2Xv+DgDyzQW/j8qlDAqjOZRL2Vj9u7uU8UQUrDxkWT9ky5hYLZto2z2aA0abqu8rXvpsOSinNMGUJGXFtXylCXaCmnf5dRq02fJU06uQ9GS99BObAyZXjstyKePVC/jtzlT7oziaN9vevAtNk0aQby6gVMp4c6W/Gb6WpBnApKA+KpeL4Cay+omWTLbkf1+iZ6L/ziKVrI4RPg6Gd7Ya+XPNBX8cFUbz2DWaA0YV0ZMG+sY1YGK2jNZJw2hpMxk9mhPy8JFDwXAlb6ka3LdX/86hiNb8MFryAWNHTKWhossH5ZLBsrfuOsZfijc8Gp7ZmYtfYwrK6MWLeMsftwN/qr7oADAdQBs88fsAgG3w1DcEvsc1IxDjZ6v58tXnQCCSF+oAwKISyFbzWETwUlXDxbdR8EW/VbE4RoEsa5cvZq/WmRkNVHTlLFBunojCgcHJMlsu+6LncnYiCh05jHRw+4cq41gueyq3TB7ltrB9g/8eeU/0ndc9xwr5wO6Ey9AAksQIKRfT8Xvty/jfQ7pfFzKaC7Tw9sh4J0vKp0mp+ImfG3cOo9XLD4TeazGKMhmv/HJV1F/MawEWq5tqPm9IQ+hkS++JIQ9sN4JTdTHj9TlXtcpTNUmCyG6FS0v4pYte28x7hzTXci4N8SUOVRs5LiUj24wRLg1hfUdSLjpASEkPP4xw2rkkR8a1Crwhw4cLkrRweyduc0OSJN/rpyMcR4fb7BQ7chh+SxC9nUuCPLsW0ztLOkfYDJKlBI5Lufh3McZFpuxJlKvfgGxY/Pdt9u9GtFHf0Hfh8cq0McmliyFJD5uBvhoro49J8iYkj0KeF4A/t4K+CiTQ9N78Tl7M/ECqNZ6SndQba7zR8MzOADqwG54+e/jwVnQe3g8A2ILpeBU96Eent/jNHMYkDBkbF1f/DKOlekoINjuu/+WTzre5YTpgKeUhA0USPdOC5703F1M5iVsRppWX35oZ9iUtXv5wtFkeb6iYN2OI0FUa/oKTacVwG20kRV+V4ktyaDHN8I0kkBT5i2HGVAXZ+k4yP1Hvbe7fWttVNRV07xD5naXHEG0QIfWkb7zZjjI6BWMVSIqC8dPpv88L5qhQ3aAB2kiGfdUrjUv+Xb2NIFjcyQsxUOGJU7QYk2Hppld2S3XMcW+tMgKVglQnBN/FK582KD6mtTkjDcVpTBKNnDZtTCTJ74LLGFqrn9vYkQ2MocIrD/t2LGRDYxsXNrdx23t6TocJVxk8/ViA29aodSk2dJoNoZmHl++wMxOoNAPDbROrh6VwcFHexwDQj05swQxsRZc/f8cP+64a68UXX8TXvvY1/PznP0dfXx96enrwmc98BpdffjlyueAQ/PLLL+O8887Dz3/+c7S0tOCMM87AzTffbKR58sknsWTJEjz++OOYOnUqzjnnHFx55ZWYMCGQoj3yyCNYunQpnn76afT09OCSSy7B4sWLDZruv/9+XHnllXjhhRdwyCGH4LrrrsOpp56aqF0Nz+z8CQejqWqIthnTsbOqv52EIV8kCrgj5WonT+6+SdAWY5p00ntKxoigd7TpSmh5pR2K9HjiGzyHdL2ULupRk97ltu7lD/efbFst+fl7ufDLNNrfwaaiu8MDbtdxqfbkGx5fLG3u4/K9LTSADfLKBP6dOSPGpVxyfGobvtk3ds8x+V7GAZKQdbvi6Egm08aE2qQdmhfPCKTdSuAxSGUQpPu0VCNzJlkbF3kUkcsUBdvFmKFM0Zc2En0E6TZPabS1xTYmczDL599NHrxsLv+8DhtC3y1TleRk9OCQubweG4r3W2veHs+MM8gSeRTRhW3GtT5ckjqEdmzGDPRXDxySdjqo0bfw4uz83Nr2Nwv++Mc/Yvfu3fjWt76FQw89FE899RQWLVqE119/HTfffDMAoFwu40Mf+hD2228/rF27Ftu2bcNZZ52FSqWCb37zmwCAwcFBnHjiiTjhhBPwxBNP4Nlnn8XZZ5+NtrY2XHTRRQCAjRs34oMf/CAWLVqEe++9F7/85S9x7rnnYr/99sMnPvEJAMC6detw+umn42tf+xpOPfVUPPDAAzjttNOwdu1azJs3L3a7JlQqlUp0sjceBgcH0dHRgX8dOBb5yXlswQxsxEHYhmnIo4C34hkchScxE5sABKdYmmRd2Iqpr44Cg5YKpNqK9s1y9V0zDDUVSgi8VTKBdxPgnXSKzU3+qYxApybyZuALWECG5x3he2hUwdViE+QhIqt7gxC42oxUYnTaIloLGRGBWfHeIPgXqDI1lutUG8VESkaOegeghTycN9igze8cJ7/p9m+XImm0SQkd2RCUkPGlQMFGEHYNl0a/fBzIcAikbrCpenj5xiaJYIOUhuLt2AluZyZpJ1ssPUJy0Le87zVIBoEgXf5t48Ywghcsh5ZXUz9yBoTqDsaELk3x8psbPGcKKT+lk9LBYNyEGT/+jpwnuKF6BoGxtVTRSSN5rp6kcUH9xtVgJLXlAUu5+tJGv9k3etuI4dXicvE+1eLgULncvrEVwx6zM7DTNw0bmdTkrz9DaMc2dKEfnSghgy2YgedxKLZgOgrI+1HzSdU1OljEVzruwsDAACZPnqzSUC9oXwJ+Bs8Wola8DuB9e5RWjptuugl33nkn/vQnzw7k3//933HKKadg06ZN6OnpAQCsXLkSZ599NrZs2YLJkyfjzjvvxKWXXorNmzcjX3XyuOGGG/DNb34Tr7zyCiZMmIAvfelL+PGPf4w//OEPfl2LFy/G7373O6xbtw4AcPrpp2NwcBD//u//7qc5+eSTMWXKFPzgBz+I3YaGl+xMxXZMRQnz8Dj2e24n8Cq8Vs8C+mZ2YDOmIwvPO6uzsAWtr+/2J82fe6ai0ONtMLQgcBfOOJMz7nN1Ic+ET9FAEMiL1GD9+U7fQ4MWcvKqkWUb5cO8KJS3y3MvrW7CCnPD3eI9O5dgQZNtpD4rsjVRBtYDU6NJcHUIp8HbZLLVBd3NvJjtL/n5tbupzMXaK9usu+y/G1Y2Qb6QD6PF30S9/ilVWxsg6PsSOtFvlMf7Q0pt5EmcNoFJTM1VBg/HXzLiSEm6AfPCy2DDzSIDT80lGRIeLiGvqMFkn9WC4KuaEgnbPOLfn0t6bExuCRmDOZASPxvtLgmIzGdbIwJGyM4wSGiXWXJGTY7/cBweU8IWNQf0toU9TbW2SumlvJQ05E0pGEUtqjfvh3y54Ku6sgBadu5CptnL25odRmem32g71eExuC3oxxSf0Xu9jjGaHPuuGkvDwMAApk6d6v+9bt06zJ4922d0AGDhwoUoFApYv349TjjhBKxbtw7HHXecz+hQmksvvRQvvvgient7sW7dOpx00klGXQsXLsSKFSuwa9cuNDU1Yd26dbjwwgtDaZYvX56oDQ3P7DyOeZiMCt6GZzFv1mNoe90z3O2b2YHHMA8v4iBkUEYPXsVB+RfRmd+BEbTieRyKZ/BWbMEMFJBDP6b4MRmAsPokzmIuRdQ2g0fAvNAuMGgssLLCOmn6KaOUuuizMWylvH0hz6IMtraFTuNRN0iHGQr7qViWH3WqpDK0322QZbg2MS24m0tNxSUO0m2e6jINhgOVA3c9p3Jl27m9EJ36A0bOjDLMPf40yNO2tCMj+qhu/YoTU1LExySHVJ14ZZQNGuSY1NpO0IJDSlWRKYEzDc1JkqXBpiqVdEtJkDn/zIMLl+BJaQlvm2+0Cz1wpiktCTZx11UZvO0kvZOSIh6YLyooKO8X2Uf8Hi/qyzj9SH3BpZcyiCAdCPNTPdraMeQHCaS28jHaiX7MxMuYVt6GTKmM4XyLb94QuJ6vV2nbVzE4aKoe8vm8wVyMBV544QV885vfxD/90z/5z/r6+jBjxgwj3ZQpU5DL5dDX1+enOeigg4w0lKevrw+9vb1qOTNmzECpVMLWrVux//77W9NQPXHR8MzOMFowinY8ib/CzfmLse2dXcihiKPwJBbgUczDYyghg51ox+/xdoygBTkUMQObsRD/4RtttmMIra+PIl8IjOy46kkaXPJTKGCeROmdvDNJntRDkp7qgsFPbhwly6LjLYi6PURQvj3UP9FPz/lJWdKrLcyyrbLN2mIv39tOohozF5JSOQySiV5etnYNAb3ntiBA4HnDv4GL+XGdYuNC9lNUOtkvnHabPQSnO6Bd38TNOtxqqiga+XOTuXerPyUNtvrM9oRp5d+c37FEqhxqOzeytzErUh1J84+8o6TaDAjsd2wxgzIIx0uS0hFzHTKVehn2F9GeF+NAsznTDiRUvm0dM79J+FDIZzeBM63kLCGN6gmcmad+GEI7RpjHFfUXAGzCTPwHFmJTZibKmYyv7iMpeAEFAD8O0b5nMDbeWDNnzjSefuUrX8HVV1+t5rj66qtxzTXXOEt94oknMHfuXP/vV199FSeffDI++clP4vOf/7yRlhsZEyqVivFcpiGrmbFIo9XvQsMzO3PxazShFRtxEIAgTDx5rQQnreDSOH6HEQUly6KM9tIoJowCTQCaskDz67tQydKAHYUrfIkR8bVc/cmiEIMi1KL6/nUEcTlk9NpC9R3fpzLiPUVAVomBIZkJjQLuJg8E9ke29OSCn2X5hI2Qn0cbcTx9VkkjabFF8pWRe7kdFRD0UdSo522V6zbvZ6qDvieUdwX2Lg+gzbPXAkRIAsor7bzoPW+DpKsk8tJ3APTvkGE0K5GKgWq9O+GNI7JDawMwSeRPAu07x1mBbDZwfPxnWVrA+t2M6NB8frV5dmxGFHFGK4+irEU5toK+3SiCfuTfQZQPAE2vI/juVdpG27zDVW50F5pfhxcqg8rr8N6HIpjDK3eoo8mIgkyB97JlL3I0P7RRmIl8tW/pPamxKQJynvW9a90rNk/0oyhzGGEomJpaHhA545Utl9E6Ouq3j3+TcjYIINiPTsNujbu551HwVbkUWNaTBJUw/AYMKrhp0ybDZscl1VmyZAk+9alPOUvlkphXX30VJ5xwAubPn4+77rrLSNfd3Y3HHnvMeLZjxw7s2rXLl8J0d3eHpC9btmwBgMg02WwWXV1dzjRS2hOFhmd2tmMqurAL/xP34x8euAf4FbwYO2cC9878BL6Lz6IVw3gXHsMZ+B6mPjUKTAdWT383/hX/E0/iKJThGbsNdbSj0EH2F1WpRlmf6eVSxgzexpiZjAgERh4NUp9NoJMkvRv2T5qeSi0qqrBWnvdTn2y2vFIkL597eXVPFZeUQeaX9hVBukBSYjtFR4GXIU+/8sQOmJeUArqKTv6uqbp4fg7ZzzbbB3qnGaprp16tzfK9lCBK+4pyOWMEZ6T4J5IeF2xqKU2VKU/5Mp8m/bTXGx43vDxb/bxd4QjJQfwXqUaWqidOg+ZZ1u4Ic1HoCCL1eKpJdvdcWxbDbS0Ymu5dkUAqcH99qDLUvB+kF1wpn0E5r0uCfKa2LegrI+J5JoNyW9ZqWyulvvRM+UDW/NJTtVioSmmyZbS2DSPX5vUbxd0hKdcMbMZb8QwOxQvoxA70Ywqex0z/wudD8Dw+hgfw9oHn0FQABruasCkzE1urt56/XhfzsXcwefLk2AbK06ZNw7Rp02Kl/fOf/4wTTjgBc+bMwXe+8x1MnGheRzJ//nxcd911eO2117D//vsDAFatWoV8Po85c+b4aS677DIUi0XfHX3VqlXo6enxmar58+fjwQcfNMpetWoV5s6di6amJj/N6tWrDbudVatWYcGCBbHaQmh4ZuePOByTMQFlZLHg1Eex3+ydQDPwx5kHooicz9UXkccLOBRDszf7+uij8N+YiU3qQuwvaJlAD264l2cQSGoU8IVWW0xdAdpIb00X2pEUKq5ePCk0Ebbc9Gw6fK1+LgbXPGfkhZOcbr54836XsXCStJXTSws7lc/baObRF3Ntw3a5+dJzrVxZPrWXw2Xjwunmth8abXKMe0bnOf9aAana0drGEaVmDdytzZhAXPXj8tqR9ksStvnq5TfHoBxzmj1eiGFA2G6GMzf8ChTTXirMsFMZVDYdZvhVGjQuKYgfBTmkmFnySgeikTMrNKZl2ADJqPHxqXkEUmBKLdyCpvbikOuHZBzVw0heZyx5H1I/dWGb3xed2IEMSpiGbSgjgxaMYBNmor9jCjIoYSfasRXTfNd0z/X8CZXusUcJ++rdWK+++iqOP/54zJo1CzfffDP+8pe/+O+6u7sBACeddBLe/va348wzz8RNN92E7du34+KLL8aiRYt85uuMM87ANddcg7PPPhuXXXYZnnvuOSxbtgxXXXWVr4JavHgxbrvtNixduhSLFi3CunXrsGLFCsPL6vzzz8d73/te3HjjjfjoRz+KH/3oR1izZg3Wrl2bqF0Nz+x0YgC70IUb8SWs+9HfAP8KoBPAxbtw0YE3YiH+A/3oxAM4FWe/sBJYMwE4AHj3h1bji7gVp+Lf0FoexuQ/7QKeA7C9WjATQYdQgif+J1WSVBloaiquxpKoirL9OgvwxNgUFVmqdl4X712HYC5SJ/UH5S+wuttY+Vwdl4cnKeuo/k7qAWpzXuSX76k9trmrqcS4Wk2qN3j5BE0Fl7W8l5AqqjyCvubqJY3WMnsOBOo++s6aOlLSxvNrcL3T1FZUl6u/wdJyVascZzytphaTair5jsrVINV3NIbyCNRCUgXIy5PfmauNeH7AHKPae/7dtbJpru+s/k3zoa1K33Z4XqAD1TwdAKYiiL7O5xNvA9XB1dhcBSfVYrb207eDJT+fTwWYKj5OhwY5B+gZz6ephZmKzljbtDHDy+Pzpw1AD4AZ3rOXevfDg/gI/hWfwBDa0YPXcDR+i0PwAvIo4NeYi3/Fxfjd744BRoHmw7fj6I4N/vti1d1+fLDvemOtWrUKzz//PJ5//nkccMABxjuyp8lkMvjJT36Cc889F8cee6wRVJDQ0dGB1atX47zzzsPcuXMxZcoULF26FEuXLvXT9Pb24qGHHsKFF16I22+/HT09Pbj11lv9GDsAsGDBAqxcuRJXXHEFrrzyShxyyCG47777EsXYAd4EcXZOHbgTuyd34FEci7/cMwtYC28yvRtoOnkQh3Y9j2G04qVnDgf+E8Dz8CbUXABzR9H9llcBiJN8OYPiaA7DO1v9+2VaJw0j11z070KSBoxAWEpBsBn0SWNMKitKdWATq0u4DAmjPKBsUYODNPqJHzA9zWRdUdAMp22eLJoXjTRqtRljagaVWn4NNk8yW3vM7xzPULwWuE7cVL+sI+6JPbpufVzJ+l1qKk1yEZSvjwsO27ewSb1kubbvJMcMNzAGgkB60pDXBZv6Vnuf9JvIaO4yorlLDW4b/675ztP4wSDF/Vf0ntZWuufNv3MNALJlNE8aRr65aNxbR/0yVGjHwCszgL7qnWedQNMBg+jq2oosvEj1/ds6sWunJxHv6N6GmflNmI7NniRpcBg/7zhjnOLsfBdgjg7JMQzgzHGLs9MIaHjJDuAZot2CpfjMB+73Apx0AL/54BG4EV/CQ69/EJ1t/bjgbdfjnLd9C4f/8SWMzgTuaPsH3IAvo+8nBwP9ADZU/3E7qWrv7c4CO5vbzFPJKMKnI0JJvG+GJ23qZHl3sveTqu8mVcvfWqWjv1pWM0wD4Z3VNLx+2ymbnlN+qrsEeGLWLIAJXt3NFtqnVf/x+qkMop3axvNzyQBfI7Xf6STYjIAW3jaCLFs74dvyauu0JqnQjLFtNPN3RPskQauU8MGSP4o+jizC5VG/xJHq0HfkY4hozyJcBpXN28J/an1B/2TdvA1g6XndVJekg9frkkZwWqnsTvae95WkVZa7k/0DgvE+qZq/D8ArgB9CqRPefJkUFBH6zvQvy8qjtvcjmPtZBPNBa698Pyryy/lE70dF/izLL8d9lESPg6eluWSjXdKKJoxmm4MhOQ3AoQAOqtJ4PPCujz6CDx/yILqwFS/gUPwX3oNfb56L3aM5/PWBj+Hyruvw/q41aMEwNmEWNuCdeBEHVZlR24KdohHQ8JKdXw0chKmTSzhsyyuecfJz8CZWD4DD4F0GWgDwJLwQC6/CE5P2Vt/bDL652JVEwzZRdJSIn0TmfPHll4wC4UWCi4fl3yRWt6mHuFgcIg21QYrJuYqNq3by8BaayaI8mwcUF6PzsqL6hi/+fGEkFQQ9o7KpPOk1xNsi+423j2jlPykvif01jyiIZzK/fC9VBlnxu6RPMkOa1xGH/Ma8P2S/2zYdXp8sm6uGXIwUpwUIqzKpLD6fqG9I9UOq0hICNS1XNQF6X/GyeVv4GOUqOj6fbfRzSJVas6BVekdSPc3QEeVtqKmG+PyQtMq5TjTxdPI7UlpN5SdVxxy8X2X/lWCuTVVPMr+veDt4X1I9UiVeEnleh3eZ8/bq310AZsJb67Om9xbgeZkNZdr9EABDg7vxzo4t4yTZ+d+oX7Lz96lkJwEaXrJzPz6O3ZiCNdPfj9/tOgb4I7zN+f3Ap4/833gPfoF+TMGDvR/GuszfAGsAdAMdS/rw+fz/i3l4DC0YRi9exCGv/wnNNJHAfpbhTcqoDZxDnoLb4E16/p5vBB0w9epkVwOEFx5uc0P5ZRrXlyd7Ilo8pa0Gt4nJi9+5HUoJgU2PzR6C2qq1m6enOqivOPOlMW0EbmNDf3MbBQnJwHBwJpEWW2kfJME3FrJxksxWkhhgWr/xceIac2UlHf99VKSlb0FML20ysr/5BirHraRVMsH8Pe8rwLSjaRN5uJSH1xUlqbM9l0w0b6PtcMD7kzMJkuGifuHzUY5BrS/kYYNsgGw2Ozx0BYEzclT2ANzjRNLaobSd06gxuVp6ek7zV/6eRXBoom8raWG07poObOroxibMwgha8Hu8HQ/gVKx96XhgaxP2m/MyFuI/MA+PoRXD+D3ejv/AQjz1wlxgdAK6j/wTjsWjOAK/r8p1CgBuw/gg6mQQJ3+KJGh4yc6U7X/A7tZODPW3Y3dfWyASpY2Kft+JQHxL73YiLLYFvAk3rfpPGhlqIFXFTpafi8XpHb2XomVJq1yUZXpqy07o0E6VfFHiqqAsS68xSFmYKjZqD5Ul8/K2yHo1yL6nOqk8KQa3fTPZFllOVjzjzAyVx9VQfDHWvgunn4PXKdVYsi9cIn5b+bwe/pPSyj7htMsNP+q9ZHx2ItwX/Ce1pyTS28qib8nn26Tq+36E1WyyPln3JKVtPK1U5RB9zfDGuJS08nKkape3lauGsghUZlp5vA2wvNf+5siKf83sdzlmoyDHqKRPjosS7N9EW1s6EfSFfK+NV06La12lsg9AsE5PA3CQZ8eTyYYbXxkcRGFW7zhJdu5C/ZKdL6SSnQRwLaMNgS9lbsR++QLeM+O/cNhjrwC/gHea+CDwxLzZ+DXmoBP9+EjhQbT9P7uBx+Cprs4G1h7719iAo1FEDju827MwglbfmFG7BNL7PTBY1CKZSldyAJDGkzbXWu72yuOAyMsDbbd1a3BdgUD5JV02A0t6y91uKZ/3d9hIW0Ygdrm2yr6TbvqyPVq9LtdXGWdHc3WV39wWVVgat4aNnc22UVtoHEl35TgGwvK9dG+W1xbwPJrRr2bImiRqsXYxp1a+pN1Gt/kdTSNdrSx+3xrPq122SfOJ3KvpqgyKi9Ne3VX5reg2hI3i9XALJl2e88FINbKOdFDgoRnk5ZrSiYFgm68ynIGMOJyB+c2oD+UVJuF2m2NKgug126U7DUiHAUlrC4YxDdvQiX7kUEAvXsTxrz+C5l/Ck04fBjw3+wBswDtRQB4HYSPmvv4bND8Fj3E6DPjd9MPwAg5FATkMT9iFz6tU7wmUsK+6njcqGl6y868Dx6Jtcpinm4QhTEG/fx/OUHU5G0ErcihiGraiC9vQXhhCprQbzVvg6YPJnZuLjYFo2wmXXp3UOtxVXJ7obWJiSs//pui32k0AlI7nkWJ5aU8hVTckWi4hUL91wVSzkYib1DbcQFLaqWi2G/KdNreJJu66KtVe8qRJdHDxv801lv+k+nhb6L3rVO6SSnF1H6kktPZxuGh1paX0nB5tzMpTugu878oI7FK0Mc7Lp7Jd312qaiYhUHmUYNp+ANF9x785H78kuZG2WFGSDznfpF1LGwJpBYWKoHHII1Fr4Gongm0MAXqoBSnhkvODjzlN8srXAuniL7+VNuahvKe+kN+V1gipOgXs84toaIah6hydDvS3dfiMYA4FZMteYTsynXgNPf4t6HT7Ox0qdg6WcVzHs+Mk2bkVqMZJqw0jAL6YSnYSoOElO7fii9iFaXhs8zzsXtnmGSk3AzgeaP7Ydryt41lsQxdeue8w4FoATw0DaAU+BeDzQPPc7chmy2jpHUFrb+BOaovKSpAnIg7pxitP1LxMSs+hRUzmEgHtxOxyJddOfVyaIdPw4G+hCK4ibZT0gqQyJAmiIGat1ZgXmtsuryPHzpq87Zqrc9A+U+JlSmryRn55KtZOzS7IEAC8PH5Cp7q4ZIkC3ckbozVpolY+pZG02EIX2CJ4E+R3pzrjQJPA0XNN8iPvmuNBCOkizZFCKwqjOWSzZS/Cc14P9UD1eH3guTcP72zB6M5WoJTBxOYiOqf1ozUz7G+QfEwVkTcux5QBETXXcxlkkI95G4jelurdV3kUQ2NSkyrLcSKlXPKbasEbiV66X4r3f7Gc9yNp5/LhS4njwr9cttwaiszt6hO+rvALW0fQis3lGdje1wWM5oGXJ3hXWz0Fj6E6HMDJQPecPyGPIvoLnRh4vtvzjisBOACYevifMSOzGTkUUcbrAN6fuF0p3hhoeGanD92ooAPTZ2zGts9Mw65T2r0XzQWUS1k8M/BWlEtZb2LcAGBra6D7LQGjG6YCJWDnVgTu3Jr9AmCefqSeHOIn55V2ImwjwG16ePlU5iSYNgZcz83tjTRw+wRJOy+jxNJy+yGypyhV6TgInm68WeTl9g6TEEh2eFulTYC0j+DpiXZ+upP2D7x+2TdA2E1XaxtPD4Tro7bYpD9ccsPbxscFb5vtvQQfd9p3so1LgrSV4uNQ2jtokOn5OOJttUmaSuJ3SbvsG/pH9hedCMYYn4+cHinRsLWhH7793u5JTdje3Ybt0xDuRxqzfFxIqdVOmPOtE6Zreb9CK18fJP28rdQXfPzLMSjHrDYe+RjvZ+n5/KS29MM9PyfBtH8iREkCqW6iV5u/Wjl8PBGtfA5QmmZ4a9HhMMZz30szgWwZkzqHcOCRf0Tnkf0G01yoMrO7x3U7pLAe9eRPkQQNz+ych9sxCRl0YRt6ul5FZ1c/yshgK7p8kWYORczs2oSD3rER08rbUMjk8Sr2x2vowQ50+ic3eU+Sdj+ODUkkN2ONqND9Scvgp+SoU3SUvVAcxKE1SR02+4U9nXc84AraN1aw2ZLt6fpdUidbALwk6ZMgakzGCWi4p77PnkbStrsQJRl15SGpMtnwcRueDMoYQju2YLp/9xXdFt9SlRqPoMW4zX4Eu7AkMTW1IkpPGid/iiRoeGanFxvRhqwveqVFbgr60YoRXzTcWTVBzo3uQg670Nv8ImZkthgqBi66jTIWDVQGYcNULXJsDgXkC8wwtnpTMGcoeN1SrcOjNWfLZWRKZWRKu3XashP9OgAgU2JqmmqeTImnD/IA8G9MnlDybooe6mj2jYqpfVzVYt4jZF4M6qv7qnp1ajM3vs6XCwaNRDdP67pLy2YUq23Q2qWlQV4ykrRHwpXqA1t0Z95PUgVng83oNoNyqE02aKpWXremZiJaeX5bW2z9oRln0zcHgm9J84WP43I2g0ImH1IjtRaG/fFazk70xwUvUwO/2ZvG8Mik4GZwTremtgraVlUFVccn0UK3hBvqyept4XLuEY1cBUW3gHOVIe+/olBrBUrn8DpT8lOYZZnG2aZ60uvp8HpCdPO2aXAxMNQPmVKwrhTy5sWhZllmn8s7A6lvCXQ7exkZ5FBAK4axP1711wl+pyCAqtuJxxy9ES8CTREfDc/sPIm/QrOQyAAOu5U2+js88F2ntTgXH7qQQTlklCgXFL7RWMvwfvH+xY3fwovLx5BeiDT1SLV8ulmSULsz5nsnbTUgqTRCG0tx3tVS155G1JjaU+XJby7z+O9d4yIfnjMxiQTagExb/DHs06TQ64/PfPidnzdT9uuLy9ByRF1BEjWWXFfH2Ori6wldgxOXqbYhkyl7fQ/zot3INc1VJ3tcUOzCODS7M8Brc3oRaGNjn2d27rjjDtx000147bXXcOSRR2L58uV4z3veEzv/ECZhV00rognXvTra+6QbWT2qrLFQU9UL26ae1OU9aXpX3TbUUkecvHHKS0prEsTd8OopL+q77qlxV0u/1aMmHovvlLT+fYH51bA31Oy2useij7hhN8doDUbXtSNVY4039mlm57777sMFF1yAO+64A8ceeyy+9a1v4QMf+AB+//vfY9asWbHK0ETrtSCqjHrrGAsa92R5e6L+pDTGTV9P28f7O4znd3ojzIOxoqPWtHuijL09F+vF3qR/T9YdVq2OZzt3wR57IG7+FEkwMTrJ3sMtt9yCz33uc/j85z+PI444AsuXL8fMmTNx55137m3SUqRIkSJFihRvEOyzkp1isYj169fjy1/+svH8pJNOwqOPPhpKXygUUCgEYsiBAe/iqMJgMZQ2RYoUKVKk4KC9Ynzi7PKbYWvBeKrcGgP7LLOzdetWlMtlzJhhXjs+Y8YM9PX1hdJff/31uOaaa0LPb5551x6jMUWKFClSNBaGhoaqUY7HHrlcDt3d3ejr+0bdZXV3dyOXcweqTBFgn2V2CBMmTDD+rlQqoWcAcOmll2Lp0qX+37t378b27dvR1NSEWbNmYdOmTWlY7YQYHBzEzJkz075LiLTfakfad7Uh7bfaQX338ssvY8KECejp6dljdTU3N2Pjxo0oFuvXOORyOTQ3y+iwKWzYZ5mdadOmIZPJhKQ4W7ZsCUl7ACCfzyOfN72uOjs7MTg4CACYPHlyugjUiLTvakPab7Uj7bvakPZb7ejo6BiXvmtubk6ZlL2AfdZAOZfLYc6cOVi9erXxfPXq1ViwYMFeoipFihQpUqRI8UbDPivZAYClS5fizDPPxNy5czF//nzcddddePnll7F48eK9TVqKFClSpEiR4g2CfZrZOf3007Ft2zZ89atfxWuvvYbZs2fjoYcewoEHHhi7jHw+j6985SshFVeKaKR9VxvSfqsdad/VhrTfakfad28OTKiMj59dihQpUqRIkSLFXsE+a7OTIkWKFClSpEgxFkiZnRQpUqRIkSJFQyNldlKkSJEiRYoUDY2U2UmRIkWKFClSNDQantm544470Nvbi+bmZsyZMwf/9V//tbdJ2qdw/fXX43/8j/+B9vZ2TJ8+HR/72MfwzDPPGGkqlQquvvpq9PT0oKWlBccffzyefvrpvUTxvonrr78eEyZMwAUXXOA/S/vNjj//+c/4zGc+g66uLrS2tuKd73wn1q9f779P+05HqVTCFVdcgd7eXrS0tODggw/GV7/6VezevdtPk/Yd8Itf/AIf/vCH0dPTgwkTJuDf/u3fjPdx+qhQKOAf//EfMW3aNLS1teEjH/kIXnnllXFsRYoxRaWBsXLlykpTU1Pl29/+duX3v/995fzzz6+0tbVVXnrppb1N2j6DhQsXVr7zne9UnnrqqcqGDRsqH/rQhyqzZs2q7Ny5009zww03VNrb2yv3339/5cknn6ycfvrplf33378yODi4Fynfd/D4449XDjrooMpf/dVfVc4//3z/edpvOrZv31458MADK2effXblscceq2zcuLGyZs2ayvPPP++nSftOx7XXXlvp6uqq/N//+38rGzdurPyf//N/KpMmTaosX77cT5P2XaXy0EMPVS6//PLK/fffXwFQeeCBB4z3cfpo8eLFlbe85S2V1atXV37zm99UTjjhhMo73vGOSqlUGufWpBgLNDSz8653vauyePFi49nhhx9e+fKXv7yXKNr3sWXLlgqAyiOPPFKpVCqV3bt3V7q7uys33HCDn2Z0dLTS0dFR+ed//ue9ReY+g6Ghocphhx1WWb16deW4447zmZ203+z40pe+VHn3u99tfZ/2nR0f+tCHKn//939vPPv4xz9e+cxnPlOpVNK+0yCZnTh91N/fX2lqaqqsXLnST/PnP/+5MnHixMpPf/rTcaM9xdihYdVYxWIR69evx0knnWQ8P+mkk/Doo4/uJar2fQwMDAAApk6dCgDYuHEj+vr6jH7M5/M47rjj0n4EcN555+FDH/oQ3v/+9xvP036z48c//jHmzp2LT37yk5g+fTqOPvpofPvb3/bfp31nx7vf/W787Gc/w7PPPgsA+N3vfoe1a9figx/8IIC07+IgTh+tX78eu3btMtL09PRg9uzZaT++QbFPR1CuB1u3bkW5XA5dGjpjxozQ5aIpPFQqFSxduhTvfve7MXv2bADw+0rrx5deemncadyXsHLlSvzmN7/BE088EXqX9psdf/rTn3DnnXdi6dKluOyyy/D444/ji1/8IvL5PD772c+mfefAl770JQwMDODwww9HJpNBuVzGddddh09/+tMA0nEXB3H6qK+vD7lcDlOmTAmlSfePNyYaltkhTJgwwfi7UqmEnqXwsGTJEvz3f/831q5dG3qX9qOJTZs24fzzz8eqVaucNxin/RbG7t27MXfuXCxbtgwAcPTRR+Ppp5/GnXfeic9+9rN+urTvwrjvvvtw77334vvf/z6OPPJIbNiwARdccAF6enpw1lln+enSvotGLX2U9uMbFw2rxpo2bRoymUyIC9+yZUuIo08B/OM//iN+/OMf4+GHH8YBBxzgP+/u7gaAtB8F1q9fjy1btmDOnDnIZrPIZrN45JFHcOuttyKbzfp9k/ZbGPvvvz/e/va3G8+OOOIIvPzyywDSMefC//pf/wtf/vKX8alPfQpHHXUUzjzzTFx44YW4/vrrAaR9Fwdx+qi7uxvFYhE7duywpknxxkLDMju5XA5z5szB6tWrjeerV6/GggUL9hJV+x4qlQqWLFmCH/7wh/j5z3+O3t5e431vby+6u7uNfiwWi3jkkUfe1P34vve9D08++SQ2bNjg/5s7dy7+9m//Fhs2bMDBBx+c9psFxx57bCi8wbPPPutf8JuOOTuGh4cxcaK5bGcyGd/1PO27aMTpozlz5qCpqclI89prr+Gpp55K+/GNir1mGj0OINfzFStWVH7/+99XLrjggkpbW1vlxRdf3Nuk7TP4h3/4h0pHR0flP//zPyuvvfaa/294eNhPc8MNN1Q6OjoqP/zhDytPPvlk5dOf/vSbzpU1Drg3VqWS9psNjz/+eCWbzVauu+66ynPPPVf53ve+V2ltba3ce++9fpq073ScddZZlbe85S2+6/kPf/jDyrRp0yqXXHKJnybtO89L8re//W3lt7/9bQVA5ZZbbqn89re/9cOOxOmjxYsXVw444IDKmjVrKr/5zW8qf/M3f5O6nr+B0dDMTqVSqdx+++2VAw88sJLL5Sp//dd/7btUp/AAQP33ne98x0+ze/fuyle+8pVKd3d3JZ/PV9773vdWnnzyyb1H9D4Kyeyk/WbHgw8+WJk9e3Yln89XDj/88Mpdd91lvE/7Tsfg4GDl/PPPr8yaNavS3NxcOfjggyuXX355pVAo+GnSvqtUHn74YXVdO+ussyqVSrw+GhkZqSxZsqQyderUSktLS+WUU06pvPzyy3uhNSnGAhMqlUpl78iUUqRIkSJFihQp9jwa1mYnRYoUKVKkSJECSJmdFClSpEiRIkWDI2V2UqRIkSJFihQNjZTZSZEiRYoUKVI0NFJmJ0WKFClSpEjR0EiZnRQpUqRIkSJFQyNldlKkSJEiRYoUDY2U2UmRIkWKFClSNDRSZidFihQpUqRI0dBImZ0UKVKkSJEiRUMjZXZSpEiRIkWKFA2NlNlJkSJFihQpUjQ0/n+y5I9M8TDitQAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "tableau_np = np.array(tableau_3D)\n", - "\n", - "# Sélectionner une tranche de tableau 3D pour l'affichage\n", - "image = tableau_np[0,:,:]\n", - "\n", - "# Afficher l'image en utilisant imshow()\n", - "plt.imshow(image, aspect='auto', origin='lower', cmap='jet')\n", - "plt.colorbar() # Ajouter une barre de couleur pour représenter l'échelle des intensités\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 177, - "metadata": {}, - "outputs": [ - { - "ename": "TypeError", - "evalue": "Axes3D.plot_surface() missing 1 required positional argument: 'Z'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[177], line 4\u001b[0m\n\u001b[0;32m 2\u001b[0m ax \u001b[38;5;241m=\u001b[39m fig\u001b[38;5;241m.\u001b[39madd_subplot(\u001b[38;5;241m111\u001b[39m, projection\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m3d\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 3\u001b[0m \u001b[38;5;66;03m# Affichage de l'image 3D\u001b[39;00m\n\u001b[1;32m----> 4\u001b[0m image \u001b[38;5;241m=\u001b[39m ax\u001b[38;5;241m.\u001b[39mplot_surface(image,image, cmap\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mviridis\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 5\u001b[0m \u001b[38;5;66;03m# Ajout de la barre de couleur\u001b[39;00m\n\u001b[0;32m 6\u001b[0m fig\u001b[38;5;241m.\u001b[39mcolorbar(image)\n", - "\u001b[1;31mTypeError\u001b[0m: Axes3D.plot_surface() missing 1 required positional argument: 'Z'" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig = plt.figure()\n", - "ax = fig.add_subplot(111, projection='3d')\n", - " # Affichage de l'image 3D\n", - "image = ax.plot_surface(image, cmap='viridis')\n", - " # Ajout de la barre de couleur\n", - "fig.colorbar(image)\n", - "\n", - " # Affichage du graphique\n", - "plt.show()\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "base", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/jupyternotebook/lecturefichier/test4.ipynb b/jupyternotebook/lecturefichier/test4.ipynb deleted file mode 100644 index d3a789f..0000000 --- a/jupyternotebook/lecturefichier/test4.ipynb +++ /dev/null @@ -1,373 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\Users\\yazan\\anaconda3\\Lib\\site-packages\\paramiko\\transport.py:219: CryptographyDeprecationWarning: Blowfish has been deprecated\n", - " \"class\": algorithms.Blowfish,\n" - ] - } - ], - "source": [ - "# Import data\n", - "import time\n", - "import numpy as np\n", - "from skimage import io\n", - "import plotly.graph_objects as go\n", - "from scipy.ndimage import uniform_filter1d\n", - "from scipy.signal import savgol_filter\n", - "from scipy import *\n", - "from scipy.signal import *\n", - "from util import *" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "['Shear_x001-x101_y010_Rot00.csv', 'Shear_x001-x101_y011_Rot00.csv', 'Shear_x001-x101_y012_Rot00.csv', 'Shear_x001-x101_y013_Rot00.csv', 'Shear_x001-x101_y014_Rot00.csv', 'Shear_x001-x101_y015_Rot00.csv', 'Shear_x001-x101_y016_Rot00.csv', 'Shear_x001-x101_y017_Rot00.csv', 'Shear_x001-x101_y018_Rot00.csv', 'Shear_x001-x101_y019_Rot00.csv', 'Shear_x001-x101_y020_Rot00.csv', 'Shear_x001-x101_y021_Rot00.csv', 'Shear_x001-x101_y022_Rot00.csv', 'Shear_x001-x101_y023_Rot00.csv', 'Shear_x001-x101_y024_Rot00.csv', 'Shear_x001-x101_y025_Rot00.csv', 'Shear_x001-x101_y026_Rot00.csv', 'Shear_x001-x101_y027_Rot00.csv', 'Shear_x001-x101_y028_Rot00.csv', 'Shear_x001-x101_y029_Rot00.csv', 'Shear_x001-x101_y030_Rot00.csv', 'Shear_x001-x101_y031_Rot00.csv', 'Shear_x001-x101_y032_Rot00.csv', 'Shear_x001-x101_y033_Rot00.csv', 'Shear_x001-x101_y034_Rot00.csv', 'Shear_x001-x101_y035_Rot00.csv', 'Shear_x001-x101_y036_Rot00.csv', 'Shear_x001-x101_y037_Rot00.csv', 'Shear_x001-x101_y038_Rot00.csv', 'Shear_x001-x101_y039_Rot00.csv', 'Shear_x001-x101_y040_Rot00.csv', 'Shear_x001-x101_y041_Rot00.csv', 'Shear_x001-x101_y042_Rot00.csv', 'Shear_x001-x101_y043_Rot00.csv', 'Shear_x001-x101_y044_Rot00.csv', 'Shear_x001-x101_y045_Rot00.csv', 'Shear_x001-x101_y046_Rot00.csv', 'Shear_x001-x101_y047_Rot00.csv', 'Shear_x001-x101_y048_Rot00.csv', 'Shear_x001-x101_y049_Rot00.csv', 'Shear_x001-x101_y050_Rot00.csv', 'Shear_x001-x101_y051_Rot00.csv', 'Shear_x001-x101_y052_Rot00.csv', 'Shear_x001-x101_y053_Rot00.csv', 'Shear_x001-x101_y054_Rot00.csv', 'Shear_x001-x101_y055_Rot00.csv', 'Shear_x001-x101_y056_Rot00.csv', 'Shear_x001-x101_y057_Rot00.csv', 'Shear_x001-x101_y058_Rot00.csv', 'Shear_x001-x101_y059_Rot00.csv', 'Shear_x001-x101_y060_Rot00.csv', 'Shear_x001-x101_y061_Rot00.csv']\n" - ] - } - ], - "source": [ - "\n", - "\"\"\"\n", - "vol = io.imread(\"https://s3.amazonaws.com/assets.datacamp.com/blog_assets/attention-mri.tif\")\n", - "volume = vol.T\n", - "r, c = volume[0].shape\n", - "\"\"\"\n", - "\n", - "# Import data\n", - "dossier = \"dataverse_files\\Dataset\\Shear_Wave_Rot00_CSV_Data\"\n", - "fichiers_selectionnes= fichiers_selectionnes = ['Shear_x001-x101_y{:03d}_Rot00.csv'.format(i) for i in range(10, 62)]\n", - "print(fichiers_selectionnes)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "def butter_lowpass(cutoff, fs, order=5):\n", - " nyq = 0.5 * fs\n", - " normal_cutoff = cutoff / nyq\n", - " b, a = butter(order, normal_cutoff, btype='low', analog=False)\n", - " return b, a\n", - "\n", - "def butter_lowpass_filter(data, cutoff, fs, order=5):\n", - " b, a = butter_lowpass(cutoff, fs, order=order)\n", - " y = lfilter(b, a, data)\n", - " return y" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "pre_volume= np.array(lire_fichier_csv(dossier,fichiers_selectionnes))\n", - "\n", - "pre_traitement = abs(hilbert(pre_volume))\n", - "fs = 600.0\n", - "cutoff = 3.667\n", - "filtered_m_hat = butter_lowpass_filter(pre_traitement, cutoff, fs)\n", - "traitement = savgol_filter(pre_traitement, window_length=50, polyorder=5)\n", - "\n", - "volume = traitement[:, ::10, :]\n", - "r, c = volume[0].shape\n", - "nb_frames = volume.shape[0]\n", - "\n", - "z_scale = 6.7 / nb_frames\n", - "\n", - "#custom_colorscale = [(0, 'blue'), (0.5, 'cyan'), (1, 'red')]\n", - "\n", - "fig = go.Figure(frames=[go.Frame(data=go.Surface(\n", - " z=(z_scale * nb_frames - k * z_scale) * np.ones((r, c)),\n", - " surfacecolor=np.flipud(volume[nb_frames - 1 - k]),\n", - " cmin=0, cmax=20000,\n", - " colorscale='Jet'\n", - " ),\n", - " name=str(k) \n", - " )\n", - " for k in range(nb_frames)])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - - "fig.add_trace(go.Surface(\n", - " z=z_scale * nb_frames * np.ones((r, c)),\n", - " surfacecolor=np.flipud(volume[nb_frames - 1]),\n", - " colorscale='Jet',\n", - " cmin=-20000, cmax=20000,\n", - " colorbar=dict(thickness=20, ticklen=4)\n", - " ))\n", - "\n", - "def frame_args(duration):\n", - " return {\n", - " \"frame\": {\"duration\": duration},\n", - " \"mode\": \"immediate\",\n", - " \"fromcurrent\": True,\n", - " \"transition\": {\"duration\": duration, \"easing\": \"linear\"},\n", - " }\n", - "\n", - "sliders = [\n", - " {\n", - " \"pad\": {\"b\": 10, \"t\": 60},\n", - " \"len\": 0.9,\n", - " \"x\": 0.1,\n", - " \"y\": 0,\n", - " \"steps\": [\n", - " {\n", - " \"args\": [[f.name], frame_args(0)],\n", - " \"label\": str(k),\n", - " \"method\": \"animate\",\n", - " }\n", - " for k, f in enumerate(fig.frames)\n", - " ],\n", - " }\n", - " ]\n", - "\n", - "# Layout\n", - "fig.update_layout(\n", - " title='Slices in volumetric data',\n", - " width=600,\n", - " height=600,\n", - " scene=dict(\n", - " zaxis=dict(range=[-0.1, z_scale * nb_frames], autorange=False),\n", - " aspectratio=dict(x=1, y=1, z=1),\n", - " ),\n", - " updatemenus = [\n", - " {\n", - " \"buttons\": [\n", - " {\n", - " \"args\": [None, frame_args(50)],\n", - " \"label\": \"▶\", # play symbol\n", - " \"method\": \"animate\",\n", - " },\n", - " {\n", - " \"args\": [[None], frame_args(0)],\n", - " \"label\": \"◼\", # pause symbol\n", - " \"method\": \"animate\",\n", - " },\n", - " ],\n", - " \"direction\": \"left\",\n", - " \"pad\": {\"r\": 10, \"t\": 70},\n", - " \"type\": \"buttons\",\n", - " \"x\": 0.1,\n", - " \"y\": 0,\n", - " }\n", - " ],\n", - " sliders=sliders\n", - ")\n", - "\n", - "fig.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "fig = go.Figure()\n", - "\n", - "for k in range(nb_frames):\n", - " fig.add_trace(go.Surface(\n", - " z=np.ones((r, c)) * (z_scale * nb_frames - k * z_scale),\n", - " surfacecolor=np.flipud(volume[k]),\n", - " colorscale='Jet',\n", - " cmin=0, cmax=20000\n", - " ))\n", - "\n", - "fig.update_layout(\n", - " title='Volumetric Data Visualization',\n", - " scene=dict(\n", - " xaxis=dict(title='X'),\n", - " yaxis=dict(title='Y'),\n", - " zaxis=dict(title='Z'),\n", - " )\n", - ")\n", - "fig.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "seuil = 10000\n", - "indices = np.argwhere(volume > seuil)\n", - "x, y, z = indices[:, 1], indices[:, 2], indices[:, 0] * z_scale \n", - "\n", - "fig = go.Figure(data=[go.Scatter3d(\n", - " x=x,\n", - " y=y,\n", - " z=z,\n", - " mode='markers',\n", - " marker=dict(\n", - " size=2,\n", - " color=volume[indices[:, 0], indices[:, 1], indices[:, 2]], \n", - " colorscale='Jet',\n", - " opacity=0.8,\n", - " colorbar=dict(title='Intensité')\n", - " )\n", - ")])\n", - "fig.update_layout(\n", - " title='Volumetric Data Points',\n", - " scene=dict(\n", - " xaxis=dict(title='X'),\n", - " yaxis=dict(title='Y'),\n", - " zaxis=dict(title='Z'),\n", - " )\n", - ")\n", - "fig.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "\n", - "pre_volume_transposed = np.transpose(pre_volume)\n", - "\n", - - "pre_traitement = abs(hilbert(pre_volume_transposed))\n", - "\n", - "traitement = savgol_filter(pre_traitement, window_length=50, polyorder=5)\n", - "\n", - "volume = traitement[:, ::10, :]\n", - "r, c = volume[0].shape\n", - "\n", - - "nb_frames = volume.shape[0]\n", - "\n", - - "z_scale = 6.7 / nb_frames\n", - "\n", - "fig = go.Figure(frames=[go.Frame(data=go.Surface(\n", - " z=(z_scale * nb_frames - k * z_scale) * np.ones((r, c)),\n", - " surfacecolor=np.flipud(volume[nb_frames - 1 - k]),\n", - " cmin=0, cmax=20000,\n", - " colorscale='Jet'\n", - " ),\n", - " name=str(k) \n", - " )\n", - " for k in range(nb_frames)])\n", - "\n", - - "fig.add_trace(go.Surface(\n", - " z=z_scale * nb_frames * np.ones((r, c)),\n", - " surfacecolor=np.flipud(volume[nb_frames - 1]),\n", - " colorscale='Jet',\n", - " cmin=-20000, cmax=20000,\n", - " colorbar=dict(thickness=20, ticklen=4)\n", - " ))\n", - "\n", - "def frame_args(duration):\n", - " return {\n", - " \"frame\": {\"duration\": duration},\n", - " \"mode\": \"immediate\",\n", - " \"fromcurrent\": True,\n", - " \"transition\": {\"duration\": duration, \"easing\": \"linear\"},\n", - " }\n", - "\n", - "sliders = [\n", - " {\n", - " \"pad\": {\"b\": 10, \"t\": 60},\n", - " \"len\": 0.9,\n", - " \"x\": 0.1,\n", - " \"y\": 0,\n", - " \"steps\": [\n", - " {\n", - " \"args\": [[f.name], frame_args(0)],\n", - " \"label\": str(k),\n", - " \"method\": \"animate\",\n", - " }\n", - " for k, f in enumerate(fig.frames)\n", - " ],\n", - " }\n", - " ]\n", - "\n", - "# Layout\n", - "fig.update_layout(\n", - " title='Slices in volumetric data',\n", - " width=600,\n", - " height=600,\n", - " scene=dict(\n", - " zaxis=dict(range=[-0.1, z_scale * nb_frames], autorange=False),\n", - " aspectratio=dict(x=1, y=1, z=1),\n", - " xaxis=dict(title=\"X Axis\"),\n", - " yaxis=dict(title=\"Y Axis\"),\n", - " ),\n", - " updatemenus = [\n", - " {\n", - " \"buttons\": [\n", - " {\n", - " \"args\": [None, frame_args(50)],\n", - " \"label\": \"▶\", # play symbol\n", - " \"method\": \"animate\",\n", - " },\n", - " {\n", - " \"args\": [[None], frame_args(0)],\n", - " \"label\": \"◼\", # pause symbol\n", - " \"method\": \"animate\",\n", - " },\n", - " ],\n", - " \"direction\": \"left\",\n", - " \"pad\": {\"r\": 10, \"t\": 70},\n", - " \"type\": \"buttons\",\n", - " \"x\": 0.1,\n", - " \"y\": 0,\n", - " }\n", - " ],\n", - " sliders=sliders\n", - ")\n", - "\n", - "fig.show()\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "base", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -}