grocery classifier.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "23e497c2-b27f-41f7-bdfa-0da1a00ac0dc",
   "metadata": {},
   "source": [
    "## GROCERY CLASSIFER\n",
    "A trained CNN that, through image recognition, will output the highest probable type of fruit or vegetable when fed with an image. A dataset of 90480 images (that can be found in this <a href=\"https://www.kaggle.com/datasets/moltean/fruits\">link</a>) are being used to train the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "bab1bdb2-b33f-4287-8cac-c1cda34ea4b7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[PhysicalDevice(name='/physical_device:CPU:0', device_type='CPU'), PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]\n",
      "2.3.0.dev20231221\n"
     ]
    }
   ],
   "source": [
    "# library imports\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "\n",
    "import os\n",
    "import datetime\n",
    "\n",
    "import torch\n",
    "from torch.nn import functional as F\n",
    "from torch import nn, optim\n",
    "from torchvision import datasets, transforms, models, utils\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from PIL import Image\n",
    "\n",
    "import tensorflow as tf\n",
    "print(tf.config.list_physical_devices())\n",
    "print(torch.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b08e06c-41ab-487b-9e57-67a8ebdeba7b",
   "metadata": {},
   "source": [
    "### Dataset\n",
    "In this section we'll be handling the dataset and creating datasets along with data loaders."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "0e0fd274-4a49-4b6f-97f6-ba8adfdf2885",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_dir = \"fruits-360/\"\n",
    "train_dir = data_dir+\"train/\"\n",
    "val_dir = data_dir+\"test/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "57c16a81-ef84-4d2a-bbeb-6175376bcd9a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean: tensor([0.6840, 0.5786, 0.5037])\n",
      "Standard Deviation: tensor([0.2586, 0.3219, 0.3662])\n"
     ]
    }
   ],
   "source": [
    "# calculating mean and std\n",
    "dataset = datasets.ImageFolder(train_dir, transform=transforms.Compose([\n",
    "    transforms.Resize((100, 100)),\n",
    "    transforms.ToTensor()\n",
    "]))\n",
    "\n",
    "loader = torch.utils.data.DataLoader(dataset, shuffle=False)\n",
    "\n",
    "# Calculate mean and standard deviation\n",
    "mean = torch.stack([torch.mean(data[0], dim=(1, 2)) for data, _ in loader]).mean(dim=0)\n",
    "std = torch.stack([torch.std(data[0], dim=(1, 2)) for data, _ in loader]).mean(dim=0)\n",
    "\n",
    "print(\"Mean:\", mean)\n",
    "print(\"Standard Deviation:\", std)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "ae997204-e9dc-44dc-a685-547f91d29016",
   "metadata": {},
   "outputs": [],
   "source": [
    "batch = 128\n",
    "\n",
    "# creating a transform object for training\n",
    "transform = transforms.Compose([\n",
    "    transforms.Resize((100, 100)),\n",
    "    transforms.RandomCrop(100),\n",
    "    transforms.RandomRotation(30),\n",
    "    transforms.RandomHorizontalFlip(),\n",
    "    transforms.ColorJitter(brightness=0.2, contrast=0.2, saturation=0.2, hue=0.2),\n",
    "    transforms.RandomAffine(degrees=0, translate=(0.1, 0.1)),\n",
    "    transforms.RandomVerticalFlip(),\n",
    "    transforms.ToTensor(), \n",
    "    transforms.Normalize(mean,std) \n",
    "])\n",
    "\n",
    "# creating a dataset from folder\n",
    "train_dataset = datasets.ImageFolder(train_dir, transform=transform)\n",
    "\n",
    "# creating train loader from dataset\n",
    "train_loader = torch.utils.data.DataLoader(train_dataset, batch_size=batch, shuffle=True)\n",
    "\n",
    "test_transform = transforms.Compose([\n",
    "    transforms.Resize((100, 100)),\n",
    "    transforms.CenterCrop(100),\n",
    "    transforms.ToTensor(), \n",
    "    transforms.Normalize(mean,std)\n",
    "])\n",
    "\n",
    "# creating a dataset from folder\n",
    "test_dataset = datasets.ImageFolder(val_dir, transform=test_transform)\n",
    "\n",
    "# creating train loader from dataset\n",
    "test_loader = torch.utils.data.DataLoader(test_dataset, batch_size=batch, shuffle=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1a03b6a-5249-485c-ba54-8664f43ed6b4",
   "metadata": {},
   "source": [
    "### Label Mapping\n",
    "In this secion we need to have a list of classes poiting to their respective names."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "119432ee-df95-4ce5-b3f4-4c4404ee129e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "131\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['Apple Braeburn',\n",
       " 'Apple Crimson Snow',\n",
       " 'Apple Golden 1',\n",
       " 'Apple Golden 2',\n",
       " 'Apple Golden 3',\n",
       " 'Apple Granny Smith',\n",
       " 'Apple Pink Lady',\n",
       " 'Apple Red 1',\n",
       " 'Apple Red 2',\n",
       " 'Apple Red 3',\n",
       " 'Apple Red Delicious',\n",
       " 'Apple Red Yellow 1',\n",
       " 'Apple Red Yellow 2',\n",
       " 'Apricot',\n",
       " 'Avocado',\n",
       " 'Avocado ripe',\n",
       " 'Banana',\n",
       " 'Banana Lady Finger',\n",
       " 'Banana Red',\n",
       " 'Beetroot',\n",
       " 'Blueberry',\n",
       " 'Cactus fruit',\n",
       " 'Cantaloupe 1',\n",
       " 'Cantaloupe 2',\n",
       " 'Carambula',\n",
       " 'Cauliflower',\n",
       " 'Cherry 1',\n",
       " 'Cherry 2',\n",
       " 'Cherry Rainier',\n",
       " 'Cherry Wax Black',\n",
       " 'Cherry Wax Red',\n",
       " 'Cherry Wax Yellow',\n",
       " 'Chestnut',\n",
       " 'Clementine',\n",
       " 'Cocos',\n",
       " 'Corn',\n",
       " 'Corn Husk',\n",
       " 'Cucumber Ripe',\n",
       " 'Cucumber Ripe 2',\n",
       " 'Dates',\n",
       " 'Eggplant',\n",
       " 'Fig',\n",
       " 'Ginger Root',\n",
       " 'Granadilla',\n",
       " 'Grape Blue',\n",
       " 'Grape Pink',\n",
       " 'Grape White',\n",
       " 'Grape White 2',\n",
       " 'Grape White 3',\n",
       " 'Grape White 4',\n",
       " 'Grapefruit Pink',\n",
       " 'Grapefruit White',\n",
       " 'Guava',\n",
       " 'Hazelnut',\n",
       " 'Huckleberry',\n",
       " 'Kaki',\n",
       " 'Kiwi',\n",
       " 'Kohlrabi',\n",
       " 'Kumquats',\n",
       " 'Lemon',\n",
       " 'Lemon Meyer',\n",
       " 'Limes',\n",
       " 'Lychee',\n",
       " 'Mandarine',\n",
       " 'Mango',\n",
       " 'Mango Red',\n",
       " 'Mangostan',\n",
       " 'Maracuja',\n",
       " 'Melon Piel de Sapo',\n",
       " 'Mulberry',\n",
       " 'Nectarine',\n",
       " 'Nectarine Flat',\n",
       " 'Nut Forest',\n",
       " 'Nut Pecan',\n",
       " 'Onion Red',\n",
       " 'Onion Red Peeled',\n",
       " 'Onion White',\n",
       " 'Orange',\n",
       " 'Papaya',\n",
       " 'Passion Fruit',\n",
       " 'Peach',\n",
       " 'Peach 2',\n",
       " 'Peach Flat',\n",
       " 'Pear',\n",
       " 'Pear 2',\n",
       " 'Pear Abate',\n",
       " 'Pear Forelle',\n",
       " 'Pear Kaiser',\n",
       " 'Pear Monster',\n",
       " 'Pear Red',\n",
       " 'Pear Stone',\n",
       " 'Pear Williams',\n",
       " 'Pepino',\n",
       " 'Pepper Green',\n",
       " 'Pepper Orange',\n",
       " 'Pepper Red',\n",
       " 'Pepper Yellow',\n",
       " 'Physalis',\n",
       " 'Physalis with Husk',\n",
       " 'Pineapple',\n",
       " 'Pineapple Mini',\n",
       " 'Pitahaya Red',\n",
       " 'Plum',\n",
       " 'Plum 2',\n",
       " 'Plum 3',\n",
       " 'Pomegranate',\n",
       " 'Pomelo Sweetie',\n",
       " 'Potato Red',\n",
       " 'Potato Red Washed',\n",
       " 'Potato Sweet',\n",
       " 'Potato White',\n",
       " 'Quince',\n",
       " 'Rambutan',\n",
       " 'Raspberry',\n",
       " 'Redcurrant',\n",
       " 'Salak',\n",
       " 'Strawberry',\n",
       " 'Strawberry Wedge',\n",
       " 'Tamarillo',\n",
       " 'Tangelo',\n",
       " 'Tomato 1',\n",
       " 'Tomato 2',\n",
       " 'Tomato 3',\n",
       " 'Tomato 4',\n",
       " 'Tomato Cherry Red',\n",
       " 'Tomato Heart',\n",
       " 'Tomato Maroon',\n",
       " 'Tomato Yellow',\n",
       " 'Tomato not Ripened',\n",
       " 'Walnut',\n",
       " 'Watermelon']"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels_list = []\n",
    "for dir in os.listdir(train_dir):\n",
    "    # filtering out .DS_Store folder/file\n",
    "    if '.' not in dir:\n",
    "        labels_list.append(dir)\n",
    "# print(f'label: {label}, isDir: {os.path.isdir(label)}')\n",
    "labels_list.sort()\n",
    "\n",
    "# labels_list = []\n",
    "# with open('fruits-100/classname.txt') as f:\n",
    "#     for line in f:\n",
    "#         labels_list.append(line.strip())\n",
    "# labels_list.sort()\n",
    "print(len(labels_list))\n",
    "labels_list"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a974217c-499a-47a5-a185-1edaf70b680a",
   "metadata": {},
   "source": [
    "### Analyzing image assets\n",
    "It's important to verify the image dataset the model will be working with. Things such as size and type are good indicators to drive the way the CNN will be architected"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "6558560b-5cf5-4447-acc2-918977dd239b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'torch.Tensor'>\n",
      "torch.Size([3, 100, 100])\n",
      "tensor(16)\n"
     ]
    }
   ],
   "source": [
    "# checking image type and size from train dataset\n",
    "images, labels = next(iter(train_loader))\n",
    "img_val = images[0]\n",
    "lb_val = labels[0]\n",
    "print(type(img_val))\n",
    "print(img_val.shape)\n",
    "print(lb_val)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "92318bd1-984a-4ed8-b80b-1b6b12f11b9c",
   "metadata": {},
   "outputs": [
    {
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mLMuCj3/84wCA3//7fz8uXbp0U/b7uIjiT09P8YlPfAIA8PSnP/262z75yU/G7bffjqtXr+L++++/4WN85CMfue7z/9f/9X/hm7/5m294f4QQQgghhBBCCPnseM973oMXvOAFN2VfjwsB5aGHHmqPb6Q1cQgoV65cueFjPOMZz/iMxkYIIYQQQgghhJBbn8eFgHJ6etoeHx0dXbj98fExAODk5OQRGc973vMe/J7f83sekX0TQgghhBBCCCGPZz72sY+1Lrx33nnnTdvv40JAGeudttvthdufnZ0BAC5fvnzDx7io3Ge8gL/n9/yeC0uJCCGEEEIIIYQQ8tlxM/1HHxcCyhOe8IT2+EbKcq5evQrgxsp9AgoihBBCCCGEEELI5y+PizbGly5dwlOf+lQAF5u9fupTn2oCCn1NCCGEEEIIIYQQAjxOBBQAeN7zngcA+NCHPoRlWc7d7gMf+MDeawghhBBCCCGEEPL45nEjoHzt134tACvP+ZVf+ZVzt3vnO9/ZHn/N13zNIz4uQgghhBBCCCGE3Po8bgSUb/3Wb22P/8bf+BsHt6m14m/+zb8JAHjSk56Ee+6553MxNEIIIYQQQgghhNziPG4ElBe+8IX4uq/7OgDAX/trfw3vfve797b57//7/x7vf//7AQD/xX/xX2Cz2XxOx0gIIYQQQgghhJBbk8dFF57gx3/8x/E1X/M1ODk5wTd+4zfiL/2lv4R77rkHJycn+Omf/mnce++9AIC7774bf+Ev/IVHebSEEEIIIYQQQgi5VXhcCSjPf/7z8Xf/7t/Fn/pTfwoPPvgg/tJf+kt729x9991461vfump9TAghhBBCCCGEkMc3j5sSnuCbv/mb8Wu/9mv483/+z+Puu+/Gbbfdhic96Un4qq/6Krz+9a/H+973Pvze3/t7H+1hEkIIIYQQQggh5BZCVFUf7UE8HvjIRz6CZzzjGQCA+++/H09/+tMf5RERQgghhBBCCCGffzxS8ffjLgOFEEIIIYQQQggh5OFCAYUQQgghhBBCCCHkAiigEEIIIYQQQgghhFwABRRCCCGEEEIIIYSQC6CAQgghhBBCCCGEEHIBFFAIIYQQQgghhBBCLoACCiGEEEIIIYQQQsgFUEAhhBBCCCGEEEIIuQAKKIQQQgghhBBCCCEXQAGFEEIIIYQQQggh5AIooBBCCCGEEEIIIYRcAAUUQgghhBBCCCGEkAuggEIIIYQQQgghhBByARRQCCGEEEIIIYQQQi6AAgohhBBCCCGEEELIBVBAIYQQQgghhBBCCLkACiiEEEIIIYQQQgghF0ABhRBCCCGEEEIIIeQCKKAQQgghhBBCCCGEXAAFFEIIIYQQQgghhJALoIBCCCGEEEIIIYQQcgEUUAghhBBCCCGEEEIugAIKIYQQQgghhBBCyAVQQCGEEEIIIYQQQgi5AAoohBBCCCGEEEIIIRdAAYUQQgghhBBCCCHkAiigEEIIIYQQQgghhFwABRRCCCGEEEIIIYSQC6CAQgghhBBCCCGEEHIBFFAIIYQQQgghhBBCLoACCiGEEEIIIYQQQsgFUEAhhBBCCCGEEEIIuQAKKIQQQgghhBBCCCEXQAGFEEIIIYQQQggh5AIooBBCCCGEEEIIIYRcAAUUQgghhBBCCCGEkAuggEIIIYQQQgghhBByARRQCCGEEEIIIYQQQi6AAgohhBBCCCGEEELIBVBAIYQQQgghhBBCCLkACiiEEEIIIYQQQgghF0ABhRBCCCGEEEIIIeQCKKAQQgghhBBCCCGEXAAFFEIIIYQQQgghhJALoIBCCCGEEEIIIYQQcgEUUAghhBBCCCGEEEIugAIKIYQQQgghhBBCyAVQQCGEEEIIIYQQQgi5AAoohBBCCCGEEEIIIRdAAYUQQgghhBBCCCHkAiigEEIIIYQQQgghhFwABRRCCCGEEEIIIYSQC6CAQgghhBBCCCGEEHIBFFAIIYQQQgghhBBCLoACCiGEEEIIIYQQQsgFUEAhhBBCCCGEEEIIuQAKKIQQQgghhBBCCCEXQAGFEEIIIYQQQggh5AIooBBCCCGEEEIIIYRcAAUUQgghhBBCCCGEkAuggEIIIYQQQgghhBByAY8JAUVEbujrpS996YX7etvb3oZv+7Zvw9Of/nQcHx/j6U9/Or7t274Nb3vb2x75EyGEEEIIIYQQQshjkseEgHIzUFW8+tWvxste9jK8+c1vxkc/+lFst1t89KMfxZvf/Ga87GUvw6tf/Wqo6qM9VEIIIYTcAHrBF7l5qGr7unk7fZhfn+UuCCGEkM+W6dEewMPhP/lP/hP8p//pf3ru87fffvu5z33/938/7r33XgDA85//fHzf930fnv3sZ+PDH/4w3vCGN+B973sf7r33Xtx555143eted9PHTgghhJCbz3mBsXxOR0EeTW5EHOF6IIQQcjN4TAkoX/RFX4Sv+IqveNiv+9CHPoQ3vOENAICv+qqvwrve9S5cvnwZAPCCF7wA3/It34KXvOQl+OVf/mW8/vWvx3d8x3fg2c9+9k0dOyGEEEIOhbqPXGgbR2Pw/JnDzFxCCCGk87go4fnRH/1RLMsCAHjjG9/YxJPgtttuwxvf+EYAwLIs+LEf+7HP9RAJIYSQxwmfm6IKlm0QQggh5GbzeS+gqCp+7ud+DgDw3Oc+Fy960YsObveiF70Iz3nOcwAAb3nLW3jHhRBCCLlpjKJJ9S//WXX/6YMGFgpFhaK2/2nb16EvbUe+3lYXfymqxhdQ6vqrDt4g1/uqGqNf72//a9ju4Nc5Y7yB/+kNOoOoAlqBWv3xzku0HviK7Q5e4/Ou6cOEhiaEEEIeZT7vBZRf//Vfx0c/+lEAwEte8pLrbhvPf+QjH8Fv/MZvPNJDI4QQQh5HjJHvORH1+PR19vLIsT+mlbajir3/6eHXHd5X/G//N+vnzvsfulKxK9KsJJaLjj/s79xr0cUtue6kD9vvqRtUOgghhHx+8ZgSUH7mZ34Gz3nOc3D58mU84QlPwO/7fb8Pr3zlK3Hfffed+5r3v//97fFzn/vc6+5/fH58HSGEEEJuJmOqSc8W+UyR4euzH9f5XyLrryyKJBVAufBLUJBQ/avsfMXvF/8qw2P7EswQzAC26y89BXSLpH1/gsW/5uF142tnAMvOGHeFl5s1p488cgNfhBBCyM3gMWUi+//+v//v6ucPfehD+NCHPoS/+Tf/Jr71W78VP/mTP4knPvGJq23uv//+9vjpT3/6dff/jGc84+DrboSPfOQj133+Yx/72MPaHyGEEPL5wfXEEQVEovZjJ9K9wbB396XD7m6ccSfrLAqB+u9lf/v2uO7sTtvW454ik0Oh0Dq+RvaOOz7W8feq62dUIRBoOnRPTCEigOzOZvJjTj7/MQbbSlSuk3YSYz38nK6e96OK7lwnXb1mf/83wKElcz2oohBCCLkJPCYElNtuuw3f8i3fgn//3//38dznPhd33HEHPv7xj+Od73wnfuInfgKf/OQn8Za3vAUvf/nL8U/+yT/BZrNpr33ooYfa4zvuuOO6xxnbIF+5cuVhjXEUXwghhBASXCCgQAFJBzY7FPHKBXFwz5x4+PRsmCikkT1xJPZc9o653sf1qNBaUeazc44/eon4M3reY/tHRJCnfPBoOSdIGmZEEqAJQAbSsZ+Tiy865mw8nCTl/rr9KyDtvLp4siugyPCYEEIIuXV5TAgoH/3oR/GkJz1p7/ff8A3fgNe85jV42ctehve973145zvfiTe96U34ru/6rrbN6elpe3x0dHTd4xwfH7fHJycnn/3ACSGEkMcR5xuwr81NRA4EyjIG1gITKYbtdBBPZFe06PvvQfrDCcabywkU1WWAEFEqVCtOT69hz00VgGpFLS58uGGIQM9N4BBVqFYsy7ad6Xoc/kj3f99nQPf+jTndPayktVihkgDNABKm6TJMKAlRxfaR84ScJuScbb857yQHHRa3gORj3H1eh1/tjjCEGlk/1kP7+Sy4XtILIYQQcoM8JgSUQ+JJ8LSnPQ0/+7M/i+c973nYbrd44xvfuBJQLl261B5vt9vrHufsrN8N2m11fBEXlfx87GMfwwtf+MKHtU9CCCHksc8hJUEGgWA3I8F+ZzHuThaECiC1ba4rD5X4ZZiaPswxibedGTrIxP6rVmzPHoJqQYgqsZ9aK5alrPYjANJ5AgoU0IqlLGtd4QYQ7IpPozns4bNTFHSpRaDIgGaIJGymMwhyz0jx0UzTBro5AuqElBNENl3aaiU/ewODCTEXZZTs1hO52KXSH7eMmN3dHDj2w+V6FUjjNoQQQsgBHhMCykU861nPwjd8wzfgrW99Kz70oQ/ht3/7t/HFX/zFAIAnPOEJbbuLynKuXr3aHl9U7rPLRf4qhBBCyOOT3WB6yEap0UWmoNYKBZAhkJQgKQHJhYnRL0SjLUwBaoGWYuLHKmvEn0dsO7y8VpRlOTDMirLM0FJQy2yZJbVAxASVpcxoHW60DOLNOad7qCRpED+mA54l5mdiX9r7Avc9HPQ5qYCsS5vq6OUSmT2aTJYSaRko0HlHPBFAE5YZKIviDOGf0veecs9UWZ1aFkyXJqjYfnLaQCRBJJtIIwlJJjsu/Pjt8c6cVX9Osn0dymr5TDNKHm5yEiGEEDLweSGgAMCXf/mX461vfSsAK/kJAWUUNi4yeh2zSOhpQgghhNwMerQqzYx1twOPdm1BvJRGq+sTirr0LIoulpjQUZbZfwegld9UzxKpBwQURV2WnfjbxlDLAi0FqgWq1TJO/HjW1cbKb5o4E94effAHcy/Uo/a1zJFWPytg3X10EIH2dIq0Y2jbM29kyOyQNo/Dl4S9a3JT1xBjkp/PkD2iQ05LJPM03WtffVBRoLozjAggyQWU7ALKBJGEJP67NDVRRTAhxKU+HxNkJZyEaDOqH9p/vBH/HIomhBBCbgKfNwLKeXXXX/7lX94ef+ADH7juPsbnn/e8592cgRFCCCFkBxcf1IQOQQWm7ApLBbQApQC1otaK7fYUPZuiCyjzfIp5e4oulIR4Ulomx250rXW3A45tkuzJJlyItygWP+5GChTV/95YmsAQolBqZSi2wzrsXKEHOgONwkDMyfm1JV18Gr1CQmzZyRJBiDbj/sLINQ37ceEE52R5rKi2z7r+m8vOrqLogu21ExNCUhdLkmwAWMlQTkdIacI0HZuIEqJKSkDKSGlCkgzJx4BMO3Pj49sVTJhRQggh5HPI542AMrY4juwTAHjmM5+JL/7iL8Zv//Zv453vfOd19/Gud70LAPAlX/IluOuuux6RcRJCCCGPSW7Ae0Iiuj24rQkm5mFSIFoBXQA149Z6VqDVsj+qVtS6AKrmP7I99cwPhYrvQ4rvr9hXExNM9Eiut8jOYBSeMXG9ExR7scJEE6hiWc5cFinmK6IhoFi5SdK0t7ckAhFZZXP0Y5hY1GQO8TmKkpm9ihXxbI22MXo2D1oZT5MadNxuRIavUZBalxjtz05sZ+JSiCj2ioKMBRtZgGT7yUkgUpFEIWJiidYKFMG8XEONbBd/TlJuWSs5HyNPx5imy5B0ZNko6Qhrw9vhXPbmdTz3QUg69/RunmHt9WWw87nJlrmEEEIeIT4vBJR//a//Nf7JP/knAMwP5Uu+5EvacyKCl7/85XjTm96ED3zgA/ilX/olvOhFL9rbxy/90i+1DJSXv/zlhzsEEEIIIZ+3fLbunHDtZPDu0OEJFAAVKgtQi2WZ1Nm3rSjbMyuh0QVVK4oWt0mpmLcniNBUpbiIUpAFyNkzKVqpjZXBeE7IXjNe0xUOiCouIqiGsOElQGrjLmVrP0tpYo5hZSiqFXtNlrP7jgSrup79Eh0TM84TPVJPtjgoGABjpyK9bjh+KOtl17B3d8i9ZMnG0XNsBAVVKvIg5mQpnsUDpCQQUZRaUauilopSgaqAenZKShlFNkiSsaRTbDaXkI4KJF+ybJWpAmF4K9NOJs315IcoYbrOJnvlQTeKHnh03v4JIYR8PnDLCyj/4B/8A7zsZS/DNB0e6u/8zu/gj/7RP4p5ngEA/9l/9p/tbfPa174Wf+Wv/BUsy4LXvOY1eNe73rXqsnNycoLXvOY1AIBpmvDa17725p8IIYQQcsuzGwZe7376+FwvyQEqtFRote41ka2RtKKUGdvTK555UlBreI3U9jglWDZFDq8OxSSDUWzyDBSUoaSntx7uRS6HWupWT5A4HNAuxcYcok6IPkBFzucF4ubdIZohh/xBcMimY/3TKEb052p7tnelOSCwtEyTYWAuYI3DWR+xHgjp9w1xB/eaVSaP6G7fn4qkNneidnkSZvcxsYNrShARJD+dnAThyqJafD1ssShQSsLpScYVTNhMl5DzBpvNZaQ8QXLG5rYvgKQNoFH2NX6Nwgpw4II5o2A0zuvNFlEonhBCyOcTt7yA8prXvAbzPOMVr3gFXvziF+Ouu+7C5cuX8YlPfALveMc78BM/8RP45Cc/CQD42q/92oMCyt13343v+Z7vwQ//8A/jl3/5l/E1X/M1+C//y/8Sz372s/HhD38Yr3/96/G+970PAPC93/u9+H2/7/d9Ts+REEII2eOGE0LOL0/Y3cWhUE7DIVSBVs4RZqQt3WHIlmg7NU8MrYuJINUyS1SLZ5JUlGpCiaIiwUxaSzlrWR0hVqi6v4Z0u1Ur1fCMkjSYtg4mslC1EiAXWsZQufmcqAyCSV3PyZ4WUby8Jwxoe1vj5kESAftoHKuyEhtGkqsY+1JU8WnVHYVFV98lsmUUXUBRYF1uE9kzMXdo+wwR5frL6dCzO/s/WJkl1tRnJV6E+0o4s0SZTZTa9PNrRUd+LrGHKl2Mq1UBzBBZIDVDSoamBZImQCe/tvZKkYw8HXv2UQIkIUxt99srD74qQ8nUjb3t9JzHF73qsJhCiYUQQh47iJ7nvnqLcNddd+E3f/M3L9zuFa94Bf7qX/2reNKTnnTw+VorvvM7vxN//a//9XP38apXvQr33nsv0sE2gZ8dH/nIR1pnn/vvv59tjwkhhFyfhyWgHCoH2c8p2P+vm5iXRQ1zVGsbLEldI1gH8/2Q6qUsBcv2mnXDmU9R62Jf5QxVC2qdUeuM5u0hnhlyIFNDhn/tYXSiUYiGKWzv2qMhhmgvwGl72EsUkbUY1OZrLT4t7r9iz3fxxOLr5PuJ54bSlzqZULMTpKdVe+DVBEJhbZFlZyzhubIWs9z3Qyf7jmTeKyGitJIpEyySP1fFWhrr7uGHuRLtksf4jCANWsehV6u3KRYoFtRqGSQxX6mZxGaITE3JMX+b9fFMBOmGukVDG9vJCmnbwb1n3D/FjXBz3uC2255kZrRpMt8UyYCb1LaWyE10Gdopu5fNodycQ+e+/roeXaS5noBy3QojQgghD5tHKv6+5TNQfuqnfgrvfOc78e53vxv/+l//a3ziE5/Agw8+iDvuuAPPeMYz8NVf/dV45StfiRe/+MXX3U9KCX/tr/01vOIVr8C9996L9773vfjEJz6Bpz71qXjBC16AV7/61XjZy172OTorQggh5GZyXmB26E55pBKMYkJv/+ttVqysRis0fErCxNVLLmpdoHXBPJ+g1gVlOW3ZJqpbzzJZIOLih9dutLa1O2PW1RhjmDaWBDeMXfmGRAFIf7xfsrO7593AN4QHdZHBs1maCrMOefuh06Bd9JIRPdTOOOa6PRflL4fC6V6K1EQNz8Ixb5lBAtP++v4osl2GkpSureyhTVjqZ9jGi9rHPAg88dBGVGxpaAhwvsWF4t+BXBbfsV3i6BgU57I6uv2stp5Uu4CiOuHq1cUEm7RBclPalCfAxZ6UN0iSkPLGvFWSbRvdiCQEld0MnJ3x68Unec5rKZMQQshjmVs+A+XzBWagEEII+Yw457/S7dfrpI0dIgcl5INBOPAyGmtNO5TIIEonzJOkFhdDahirKkotqMWyS5bl1LMPzlrZBbAFpCK7d4mIQlKCIFsWxdhJJUpNMAbhMezq9+2ja49atsI5MaiI7JRq6M6k9AyWlYAils+iMrQf3jmMtHKU+CmOIEDd9d1QLyrJfcs2LhdpMK/GYKfu12HMQIGXmqgAGp1oXC5qA9wRjvwJFd9LaBo7Ysl5Zyg721hXIBd91AZbXWjRyADSCtWlvTLlPGSgeKaHKqoq6qqNtJ2HZZSoCzIhzNg8nC9XxDpK0DCYxQaQDSATpnzkBrWbdrpTPkLKVupjIsoGyN7pB5NnqXQRpU9xlPzogfHciChyfhZKz0ChuEIIITeLx20GCiGEEEIOsy66OET81j0losRGF5SyhdYFpS4oy5l3v1kQxqziAguqt/KNLjqq0GoZIdoyTiqAxbexr8hosTa2Cgt2s4sDVkoh7plhgfPSslxG4UObsGOno+mcMFP8nyaixO96sB4dgpIH/CEaKUJkGAQSTUNpyTjbAvvzKVrqnlfKoT4XJpr0spFR1Bpftyvs7Ju6Wutmn78W0I9jG+chfj4vNK+r18mBAi94J6PeINnaSnfRpB979zr1AaThWNK/t+n06yXxXKw1y4yKjKjD69tLmZBRtEIhtoZ1C5GMokdelp2x3Z5iWbbI04ScJkzTMVI6gqQJabqMlCYXVY6Q0gQV81eRHIJKlPwATVQ6IEJ1LspaGcSx1b4JIYTcylBAIYQQQm5lHtZN6fMCcjN5rcsZSp1R62KZIxqeJVsorOSmCRpwQUN7Vko8Jx7gige4zXg1zGB921a+A1jgrzARxU+se6x4u+DmPxJZGPZ8SkNORAgrewm0VugiIaK0YN0ejttbBsRQJhP7SwlJelAsOpZy1PU+2zbj3I/f/fHKL6ULEeP59R2Nvz+UcxFz42PZTzlajc10lBBTDgX3uwG9P9LYesd0d2fO7HR6Fs/+/vSc3++Ms/1ux7jXM1z6OhnmX337OE9VQFzW8O8pFaSkSKLIaYGmBck7OGlVE1vqhO18hiQT8uYYeTpy/5QNUp6QddOzaNJk0olEhspu5lEaxnkeh+b+vHkhhBByq0EBhRBCCLnF2BUHZOdR3MnuSQbSA9nBhFSlCx9Vz7Bsr6LUM1Sdsd2eNKNXQTUxxL1QxowTgVr5TBjMCgDPKpEWHPcvbd11hkyCVf3Igh54phYIS8tgiXPx8hABct7/c2XXiLRPXmSNDIGt9hwMhZWRrEpk1AJ9y4npQbAgu+4zzO11szlCNIitQlA6MNZRfOiDX+1LoZ6YkfxUXDxZZZ/sht4HSkTGsqbYz45gMu5JDw6tH3O0RtHx+bZvgTY71sikibbUvs3gCdMTUhZbgxIZTu5zs9tKqPnU9LlK4vKZAEncNzZZBlSSAkwFWaIMzTKrKjIUgqvXtoBkbDaegZIz8uYS8nSEzdElbKZjM6aVI6hkFwEjCymyUSKbapzr9bXoz5wjjrWtCCGE3KpQQCGEEEJuIfZ9QPz7EFdpsbIZ69CaoEieFVIAnAG6AGWLUrZerrNAy4yynKFW+10tWy9jqZAQXWQUAkw8SbIO6sPUtAkj0rePwYoLIAkYyjzWoo9Fzb2UY+0OYVkkEfdHxgiwa5d6iHEL8WA3BAkTE3ISFzmGcXuZUW+hHN1ubPxV4/jm8aItaB4vEoDUDVzVvWVE6yAuxEtGkSfms6CP1c1TFX7MnTOXw0anFsIPwpGsZ/7QvEmbncOh/XgMy74YXusJP9bMad9zp9S6c667ZS8uFEEBWWCiU+njaP4pm2G0Xl4mwzURaR2F2nquQ2GR9owW82sBqmtnR0eWzSOpQuQUqgnLfBW1bqD1EmbZQJABCdEk4/Kl25HzkXmoJH9OwowW2DeiHR+P62Y3e4UQQsitDAUUQggh5JZlDLh7oK1aobUCSYFaIWmCYgZ0huoJUGfofIJSzlDLgqXOVsJTZlRd3KTTTEyjNbBEJkY8jva9Y0mJCyzSyjbQXrMWOLrqs98JqOycU2w5tOVtvwwhogfLcdi+ya4kENu5QAPpVSbxe0nrQ8nua1xIafHtIBpBYVk0Y6aLb7qT3aFwz5L4WpWijLkiuprHvbbCLcNo3Eefn5bV0fY2qm3DfK1SRg5MG8ZlNuxD1huufmx6yG6WjXVrsjmtTXDq2RrBWCK2K6D0a9hNeC2z59B1l5Uo1rOyuoY3XAutUBdY8jR5VsvSzlA1o5YZCyq68XH4oWRsRIHpGGk6hqQNJFVfDof8Unbm61wZkNknhBByq0MBhRBCCLmlicC0d8pJSYGk0MWySIpWaD2D6hbz9lOWXVLOUKqJJZaFUAG1ANWyQ9YmpRaajr+rEO1+J917o2+/H/B1gaM/SuiB9U42i0QJT1oLAxp775kjD49BEBmOqaNIoV4eszpn7cJJzEITbxboGJzDx71z1PH1cX3as6KAirXWTXkQHs7pDrTaM9DFpwRIGNQCvTTmenOx/qZQlBL7cEPfUTMZBIpRApBVZsUoSAgSvOGyrzdpYw0BpCIKpSLTqhkRYwFkBqSY8KIxrgpgQsJkWSB7WR37GS0h2slwnbqQN66/IZNlzBASHzcmoJQunGh0+sm4+uAJIAnTdAlT3mCzOUKeLkHyBrI5hiIDkpEke5pO9myaLqxQMCGEkMceFFAIIYSQzyEXigEtJo4skDBYDVPXBaWYEWxdtlAtKGUGPANlnh+0jjY1gvehOMNLRAQYjDnHQ/cIO8SLtc/J+ixk8MXY2cMQvI6v1S4otOwVwRj0+o53jhT7qHYasZkcCEKbmFC76CPePUj7flrZSjOs9XwZ2ckMQX++B96RhbFrsgqoinuOmD4k4fMSAXpkuOyW9LSDjtkoQOtOszrNMJFtB92bBt3JDBqP1R91AaXPue4IJn4tV5kpw7UNUQiAtROO13ltD6o/H0Vag0C12l/PsDJ/kjgtf6VYh6gk9qerqEAjo6WJPbGP7ngTHYQ05lCjDXEX58bhjNfB/HwW9wBK/v6J0q4MQYZWRcEWqqeQ5RSQjJo2kDQBacI0HSGljJQ2SP57wcZKocQFodEPBvEO/eyhPEMIITcfCiiEEELIZ8l+R5g1u9UGF4ko0gK8CmAGsAA1vE1mLGdXsZ1PUcsZap2xlDMICgQVRU8gKNZtRGSnVKX6zXaxTiVDzCp75zDcyT9QA6KjktFIQ2ZKvKgOr4nQNoxuh9B16LYyBrIttG7Gr8MINR0Uguy1pe1Hq5mH1hCFqpdbRPbEIFZE4L1qy+slGeuOOxGUa9tCW8mQBcV5ymjtbps2FSVF6v8/bzUMc3MwEj7sgbL+eTCx1ZjzPpzUxCZrNTyKOutrPl75nfW+EkBcHGpn7fOxGqtfM5WWjWICiwIiLnQVqFYstSLBTGUlT0jYAOJGv9plnv3pGYU9v1Zi41aJa9fFr1EGUxlWsHqLbk2r8xQRa4GMDMUWywLUClRNKAosFZB8hLQ5wvHxbZjyETbTJUz5GFM+hqRjM6PNG0By7/YkMV+711LOXSXniSQUTwgh5JGBAgohhBDyWXCReDJs2R7J6ufReDO+CrTOWE4egJYtap1RllPUuqCUU6RkXXMEM1Iq2GBGtH9NOiOyL5qE4Rkla3HjvBBLd76PYx6fCWFk3F/F+fu+aJ4OPb+TlbI713stcsfXjeGxf0lpGQii4ZkRrxgzL8aSmhBAdh+rZweNYwFQ/eqqoGhB9/zYycJYnd9F1+IQQynRoRKeNp7iIsAgPqll7+Rpszr/ds7qhrtdvbJdCtwUVr3KatfTJAGw8htpXiAmzvTzVnuduIgXr5UwYrWxnJ6dYZ63yMlNf7Ot+dTKmMRFt935Gifi0Fq3ttuqCm3laTiwnV/nqq0bUPy+dWaSEHJsjIIEUYFk2DHqgvn0DIsknOkRpo119DnaXEbKG0xHly1TRTKQjmDlPTGna1tlSiKEEHJrQAGFEEII2eVGNZGLXrMX8wwhkQ4tVdVFk2g/jAW6nGHZPgCNLJPlrAkom40gZwBYIKhAci+HaEc8lCfYMDwAVljQ58LAutwizqFnVbQT24lJW7Ato2CShu3GfIXdCTrv94fYDYh7BkU/r/NeH/NQmrhkHjDr16h41kwr4xmFLEX3/BizLhS6Ny5vuTvuW02WgVaIJPTOPS5ltcBdV7uSyFIJgeeQSDdki6yyVNZTZOPR3XmyZ1PrqDNuU11gQhNmdBRfqj2vLgeppEFcGs4d2bNMRuEpoXd68mwViZIu71Qk1j5a3B+nZZlIPK19/nc8bRDPxzlGiyAXNjTmzDtOWVee2oWtscNQdIiK98R4gQAXX6y0R/y11rXKysBUFVUrtM6oKkCdbf3pDNHFxKtUelmPdL8Xkcja2fGb2f1A2X9rrqHmQgghNx0KKIQQQsjD4eGIK6uYJwJMC1KBLaBb1OXMO+ScYSkzyrJFrdegdYu6XEEr4UGFJMUmLYBUb6tb+/5WKSJxBzuOP95dr9gNdtuP+/HZ/mkoPNgtPi7fgWa/I5+wyo5YnfPAXvbIzsRqjPX8CRepSMPAWmZACCf+XVxcSrKg+V9EsC4WsOaULMD1Vrx7hSsSxqY7QXYLymPQFf3MZn+QoHUMiBNSmtb7GvcZws1QttTkrjatxR/X4bLJzhcw5QRkQTcvRR+H+jFa2UyB6tIyT+q8mAigIe4pxLMkkBJU+zlpu179GOrCRJ42Zqa6Etns0PP65Jt4l3CM24+PICkjSUKSjJRC6JsR17aUBaoLireMzhkmSKSEJJMb9h6hVol+xr4eZhNvRAEtSGJrWGFtwbtXjc2btQxfGw6HwqOrN5CXGAmQpVg5lwJIM4BT1K3gdM6QlDDNx5g2x8jTEY7TnZB0BMglABsAGYJYI1M74u50HaK95QkhhNx0KKAQQgghN8K5wcp55SoRDCos20SbsWutM1RdQCkuoNQzlGX2VsMnZgSLU5hIUWAlORH8jV+7g+tlEu3nKMNopicHT+Q65z6WE3RZpRnMuudHV1p229RG8H0g++TAcXvViA6/23eGiLv8/WcMwozPj0RmzpgdcfAk97I37PEgPklPtgifD4hiVeAhcZb2ew0Va/egEiLPzgRIaAgxt+tNZJj/IUXivDNCrcuBmUsW5kv2yig7Rxu7YBS3Wgfl2KcbE6P2DBB1wWAUcmTwEoFW14U82+MGgvvw6bEsGV9PYYocbYhRgNWXi2hVIZpt+pJC1UWRYQ2v2nY3/cNKuyK7ZW2SrH5e4/wDYZIbY7SZHNbkuMbbWlgAFdRlwaJb1GWDUoCUjpGn25DysXmspEsm4MiRCzmRxTTM7WrO9hbZxRNNCCHkYUEBhRBCCDmPG802EWBV9uIBsAWui33pjFpOvBzn1ESUOgO6heoCrWcmntQFwNZeI1uIllXQbCFulA+sjxkyRet+gjQO6LondvhUI7A+9Kz2YHrc3IPEVdtYGe/c72SitBdeHx3+bXtqQXzfj4j68Qq6b0qIAVa+tNvC2QSBirA17UTQPQok8b2PaGz5C8kQ8Q4uTTiJEhbPDFKgtyTeHYrsTMeh+RrEuSFrw0pkhm0A79i0e6yMhIyUNzEzTTxJfi6tzbOGGBIZPu77EpkrsHOVlJDTtMq4in3VYa0oBGm4ZMlPWXfmCCJIKTre9DHZufSyN8uEKkipuAEtEJ2XFgWkWpaSpAmW1WEjSuGFE2KJJBdoxkwxm8f9K7Bu5918XFYtu12zbGPtL1B/UhdgWTIUGcvVq0jpCEfHT8DR8e3YbC4hbe6ApCOkrIAeeUZKRgiPIsOlH4e3q3WOvyOEEPJZQQGFEEIIuWkMJTVlBrRA9QTLchXz9iEUPYHWBaWcwQLoBSLeJlUXqAeH3YejhoSBdtveO5hYdOaBcZSR7Gae7HFYODmvbequjeV6HyEsDOU6Taw4JA7ozte4j8NHX722vWSd7bF6hc+DtnGN+4m79tqa7bZAVhVFFVkiWJed1wIHy21W5xHfo3RoPM8dL4tor7wrgMRJjKLLwePGsSPTJohrkdtzii0U4f3i+9OCigzFZKILwtDV2+rCsosqFitzqQJ181XTCl3QkNifwDxApiadjVkm6zM4JMZJX8LxGtslwtAWdTaxRr2tN9RLcFxIiBIlVaiKf7noogumKSHnNJS+2SBbsk8TQev6erTOUnDhbZ31k3S4rjvr3mbSXnPeKrfctAUTZqCeopyd4nR+AGcyAfl25OkSjo6+ANN0GSkdI23uAFICNHexaXeNjIkzhBBCbioUUAghhBDg/CSN3Rj5vA1bVoF5RqBuzUCyXkOZr2DePmgCCqwVcbtzLl6eU3vgPQaTAvF4zu9u++O4c64Hs0NC0PhMTl5Wv5XzorFVkH9gX7u9m1fD283W2dugJQLokEGiO6+RnR2MZUbdCBXonU3idf2aaSv90CHov1706bMSkfeqLErbvtpjAIisjdUpjsH4IIJID9d7Rsb43BDA7177cSjDeHq511jW5esUPYNCQhBp6zB55VdMpLfBHuepPRflNlbcVA963Bxu2ixtLcV23tsniSWTqDbhYxRQrKwtWnJ3EUtriCfx5WVcO+JkPx7QS9zi6ONctD2v519jW92/vjvnfd7HR0K1K6MFigVaCmqZAWRIrtCyICNZS+W8QFIGdPKMmhDAdt9uvm7G8rID47veW5QQQshhKKAQQgghwXkiyt4vd78iQN2aOFK2WLanKGWLeXkQ8/IQ5u2nATkDpCBJ+CtEBoIFqakFbV7qAQx3mXvGRwva/H5/v8u9DlAPZfJf/6QfTkQV48nDz7G/i/Zzjuiy8/Oq+0s807rlALXWlQdKf60iJW2CgiWVjFkgsV31sg/7bua43ooXwL6Xy5h1E+OpzUDVZJtui1pX5UWDlweAlKIDzbocZE+U0THLaBz/IYPdWFN9u9RSOXzskXECoOpiWUaS2/PJS3lUFUkmqAf4IQLVsqB7n4S+k5FEkCc3lEV0+HGPmtE3ZK+j0DjH8Vy1/cEEwiiIglb3EHLDWLF2ySKClACRhJw3vk1FKnZ9agGyLP7usu5XBcU7+oyTH+2XxyyuELL2BRSb5fCxGcXEMXMsSvlGIWbYViuSVixa/BhuGisTsgIoM5bTGXW+AkkbLNsHkfMRjo5uB6bLq/bH63FM2BPgRiieEELIZwQFFEIIIY9vVpkmF91JhmeOWDDX0v11huqCWk5Ri3XWmbenqHWLWq8Ceg0pnUFkC0h1ycHvdouHU5osGGxBLqz96bBtD4613z2WCJC9/exwGjK84rwTs1h9jCL3UiV2fhePozvIOR4d4+vHbJUxaG0CUgTk/nMEne3QPaBdx321dc1ZH1v9JRGkdmGht2zWVdYCtKLUBTW8PyAezNo1kZTtZ0l7U9TbT1uobyangKQeKK+yNuI8WulLz3yQ1ZDH/al17pFxLZy3WPvvczpCwmTz64qHujnqZKqDjShEDolxCFRNnLBLZuNIGi16y3DNfE6bsCBtPkS8ww+0i0FxLdq5+5w0kShmJLI3XBBTz71KJs60LsWxZlTdb6V7rgjgnZq0CSvWVWhuwln1NtOSsndlyrFSIJLRfIV06dksIUqpYu1t02cghLBdc1dpF7gLgr1QCJ5VVmD+SNEd6QxIE7SeouYjaD1Fnu6ApGOkfMnGnjIg8ZWG64Kdj7b15wq1FEIIuXEooBBCCHmcciD43EvG2A1SLbBRRAtfF1HqKVC3qPM1LMsZtvMJlvnUTGLlBIJT5OkMArvjb6FNAtxzIkQTaW1hU9cA2ghWSo8NMVwkRZpGMIZGYzNh++Xhc5YWZx0KyM8J0jWC3yhzGFspj5kQ8T2UgVEAKDvzbPOpUQYVges4T+MQvBvL/njVBakQTcZT9yDfY98moiRFLWboC1HPbEhImCyzAUf2e8CD0xiDiQ81MllQodWC+ClNg+nsOpvB5n0UYzwDxH1gi0b3nOJzoQi/EbNJifnaTepYC145H63mq1YzYhUAeRrVmmEPEoJGrAppIg6mBNWKUgVFi/nJ+BrSViYUmSbWNUq1uL+P700sQyXKwwSDD8uQaaOD+W1uzrO2HkK0suHXpn8uJVoca7vo3QS3oFZr1Vz1zB8XlGqZRylvkNMxklj2hiTYYzHXnKpL28eUXczSan4rdVybGSqxXmMe+vVp74Dq41Nt9rZ2Gi6c1RnADMUpSp0AyaiSkdIGZbmMzbRFzpchmzuAPAGbIyAdeWZTcnGu79P+nzD0/qZ4QgghDxMKKIQQQh7H7IgDY5bAGFm0DIYKePthXa6iLFtslxPUxcSSpVz1IGsL6AygQDCbUSyWwYRybMs6hjijL8ZYEgCsDGqbpFI9KLpeNsJnMR8P+7XjVxB37/P6d3uvi3KWMnwft9ktwQEkK/I5EWBKisPzt0Z8fArPGIlI3DMuKgSiipTcL8SzfSLgTwKoJCQPTqsqNBVoDTHIBYK2393zX/9cQ4fSEGkqUgpTWM/UcX+LmBuFopaxlKSXG4lM1s1GgZ41BagWzPN2nLH2PTxFWobIjnGvSAIkQ1RQQ4BwUVFdIKtaepbFIP6NWSOqFVWXeAq6xHYFksTKj/rMtEdxjJ4p5BkgUBdQ4lqXIaPGPUOggBRAFiQpUK1Y6hbQZIJNqImyQFWx1OrHM1NdqJWNLRoFd738KcqjrG2zQNPYzln8vVqB6jOia7Grn6ALQ1ia9CKYoWqiSNUJWrdYzrYAjsxkdnOEzfEl5KPLQN4AG4UJj1Hek1q2Gw4flRBCyA1AAYUQQsjjiBvJsIjgNO5aq0W1WgEsUJxBdYu6WLbJsr2KUlxAqdcAFKjMSFggqGglPy2HfgjY/fjhodED4Hh2yHQYxBWJccUd+OEcdMwm2BMXHomwKe72+/ikj6sPIjIdQgRZZwisx7XzXJsbrAJ5e27cx/h6O26vdtHV79vIhmhSWmSfVqUY69Fpm+ueWRKnaCktJq+IXzrtuxnKiOK76qGxSx8yYOKL7OYS7c5X9fUhwKrsa/TyWL9GodC6DL+La9M72ySJLIbIj3BBwOerX9koNSoW8LtYs/fOamJGDMNFDlVoDaNYhepihVNDpk9f6/BsD4EkF6ck93HUQZCLLlXYbVBdLTupLcUQzArgXyKlXbJmRou57duELu9cJAk9o6zPuXppz9poVls2CFT2rky/psOkIbatUGRvxCWo1Vov17JBgQtCKJDpGDmbj4qkDYDsczn14+9mc+2NYR9mqxBCCAUUQgghjzsuElG0/1gWoBZgXlC1oNYzLPogSj1BWR5CqaeYl2vQegYTV04BsdbESOaPYvHZBNEJNTpmoKf0q45BbGDBr+z8ZzrKNizzRNudaqRDoc26g8j1z/8zYQxUTVyCdxTaE1BUAPG74ernJMPr97JWdikeDK/btVZdUJdDLZOBzXQ8GILuZ5+0MpV2uRMgGygyrENNZE/YdrWan0dKZdjvmCm0IyA1BcS3Ebi4UT0YP3y+XZTIHnhnN3n18bRarcjYUVx//uIa+eMmvFVUbPtrdWqZHW2+Pdsky1EvaZKNn4sF69pKjKLzjqkvljUTQ7A1sNa/7LhZZlRU38+MWgtqnZFqsoyLNjF9TZXiuR/5CClNyLKxDBMdV70MU2KijIqN07Qy8VIdxSKL+aDUiiozIEDGBJHqXi8hgNp8iQClFPNakQlJJvOakQ3ggg4g3v45tBJba9KHhHU5W39yvKI2B7mvJ1RXtwqmZMa4qA9hqYLtmUDTBmna4I4n34m0ObaMFITR7CXYn/6blZw0Duk8KJ4QQohBAYUQQshjlOsLAXs39zEGAWPAuRvIw4SJWlCXGbUULPMZapmxlBMs9SFUPQX0BIoZghmSigeUISaE0axCWrlOQpRlqGckqJfw6BAy2Rg96JeC8T5/67ITw9S4iz6ebJQNeEbCXtC6/jlCvOsHTwfCp902vDJmn4wZJJ7OoDGWISOlzdd1RBQ59LhngUja3bxn8WhkOEjtJqntm2UGqIfcVqrSO5nE9i3jxMcbBqzjWBXRyccC7jAnTckNaGU4X11nmOwRuovUJmBEckytcR6DyS4sC8OqfCIDpZeVNJPVtsb7XK9KZDQ1AUW1WDaIRhecGUksi8G6+gjUOyBVjcwTQGtpQgs82wSSXE+Lazam/ahlkajNTfVWw2aeW1CbQfA41+K+wQoRO56iWBZKEqQcmTdq8+CHK0Uta8QnU5CGLKIJqfmoiGXDpGI6RTKxzPxj3KxZFFKGLDBvCa2Sm9/KbpKHhqio/f3UBCvBICiO18vHg4JwThKY0KVlsUOIt0IfM3FKxdWHPol8dAlHl+5A3lyGpI376xxD0Nd5Q3ZX9RqKK4QQYlBAIYQQ8hhDh38PdYABVpkKw1/+6sGktDvxPbDUCC61WNbJMqMuW5Sy4Gx7glLOsMxXsdQrUJwhyYyUKvLk2RcuoLRSG60tKJF2tzm1MVnJwxiyjHehzQRShrvSgUC8pGDMSEDbbr8o4EDoo7s/HPYHaTs+GCGt528vAGyZEiGeeEZAGFwiztPOsWVWnMvuINyMdDTE7PU0bX0ouuhgpRuxdXK5Kg9HTYN3ipWldH3KguJaK1JKgwGtlWBVF1BCPDEBJcpQ/JoM5742Hd2ZVsQ8dWNVO7Xag3ZE6ZdnY6SE/ZbXYaQbAbxl0UDDiySEBl2tz1LEBT71LIpiooFkZEnufaLWRtq/QlhIaeqlNyEoyGpltGspUOQMVLXZFjUBRdxctdY413ENWDYQRJG0QDV1EUzQhaRmPtz3pdW756i4iS1sPzKhSgg30q5zTgl5Si6s2Fq2ZuMVJT5HJLyL4ivmfbikLhD1z67kwshYWBSlNeGdE+KmoCJBozxIM1oWk84AFqgs3oVnYzOhBVcfPMHm+DJqLTi+vCBvjpEkubnttJqbfkXWS1B33nOH3p3n5bldBEUXQshjFQoohBBCHoMMd+HHu7WODP/aXXmYMNKC2DDTdG+TOiNaES/zVdQ6o5QzlHqGWrdY6hlUCyRvMaUZirjra2NJLcjLLSjv4YeXe7TgfhzleLfcBBPBeJd+yD6JjijeflciiN8NX1qdgOw/t5rBce6GjkK7c7nrO7LKbNglgrIQcaJ7TIg8inXpC9q2vfVsXKd+vM10jD0TWSnQotChtCNkj9hf+FrUssAMOa3kYZNzD0ixsSwJFaSUkCRbdxYUWAec2rrXWNCarDrLy1liefURTBDxch/Z+FWtLdi2NeeeGbp7TkNGkBu+ljpjKSHM2dw0oUgtsJaUMeUj6M4aU1GU4bqGmJKziy1qHXosqaYH9TklpHQ8eLQoQsxRteyWBEBSArKt+VpnbOerqNUsg6ocQdKEJEddVNEh3JaKioKT05N2biEI5TwhpYycN7Yuqospald32mRvEY0m1izFDHG7B0qIETZPm6PLuJSPAc1trcW1Pb507Bk1i20vgmmabH0MWWM5X277nS4f21rTyAyJkiMxRahfhfYV2UyRxSRIXVDSvlXFGarMXhoFW1PY2FrVybJnEFk+sHJBmGhbygJIwtGUgXqC+eqCcvYQUpqwOXoiNpefgqPL5otijBJIU+/W6/I67Lrz3AgUTwghj2UooBBCCHkM83CyFiKgivIaL7vRAl22qHpmRrDzVVSdUcqp/U5nqJ7Z62SBiJcZhNjh+46WuWg+JzG0MV1eByHEhYjYOoSRJi4cDmIs6cHvXsvuOVrQHOe7L37EM+O9ZfVziUyc3fmUnf308a1/P+xxZWQK7Bq99h/F7uCPT691ld71ZZhbG4N5leyfowWSCBPQITtAtXoizNASWSJbpu95f+51mBf1bIk4kXXrXWkBqSIhtQyW5l8TY4pOMsjtHCJJZzyqmbGWtbgUwpv6ubio0UuQ0MYQQoxlr/S5tyF7W+Q43xisZ2c0kW0UqYYsl5b8IyYQ9lbG2jxFkCokSs1WZ1fRRbNYd6mJQymZiKLVL3utLYMspRBQRrEuBK5RBIx5jvea+/A0k2gzZq1Q0zirGwi7qW1rW70SMV3pSP5erV2mtKUU76PBPLYZ7TR5DyHUrD/C3IxXqnm2NEEnSgHHjCF//w/nooi1nKw7lCq0qJWVpYyECSlfQtlc8zU7mb9OW+opFBmsubmSxyifEkLIYw0KKIQQQj6v2PvDXICWdaIV0AWApb5jOUUtC+b5BMtyglLPUOoJFAsqTmGmkb5966YDD3ik/W+fCJ17IN5D0DF4S0O4O9wF9v33gBaeeRKvH+8UD0Gp2F71OuLJPiEs7ZdDnb8PNT+Fc54vzdd1N5MmDd/j2OheE82UIsZkAb6ViOwcS4HoYrJPgqC0AFhdJEkybj+etweg2s1jjdwC+py8VKcCOfVWv+EJsjMwH4Vn5GhBqQuqblG83XCSIySZzAQ1bcysNUV2hHpJiXVySRLyVvXlocNhBM1MuNHHU6sH4h7Ey2DMOqXNzrVZn4o0XxsXbhSQlIclN4gTKWOz2dh5HvAuWf/cO+7k7J1hPPAPrxxBBjQP5zmaAe8IdLFfraj1kKlwxTwvqOUMgiNvkWyZOCIJJ6fXWhlSrQu0Vmy3gpw3ODq6za9XqFv9WP0x7FrVaCU9dj/yDWR4j/t1i1US26mb6VZd3Ly2m94qFrt2Upoo1ITQWAcxRyoACpJkIG1MyKoL5qWiLgV1e4a8uQOSN8jTJaQpQ3IGkpnMCjK0CTaUOgghZIQCCiGEkMcgu3f7d58BeuQVZTpndlfXy3K0blGXE5S6YFnOUMopSt1CsYViAeDiiSxoWSsuMozCwW4Iv37OxuE3rG08kZ2hfYu2pUY2hntUDJkLkmTIXhjPMY7bAzQbwnn+MDvxPqy96ZhVs4fu/6AVvXRgL1CO7dIQMyfPkMj7m0ky09QhwO5+ED1uXY1OwwS2nVX/LpEd5CKHWpmJui+NDqUTTd7a0aIsQcBLOCSyWuDCUermrgB2M2xWQWe7ztKuLVBR9cyD4YLkxq+q0k1O6wSgWiZBjFU9GyQyXlpL4TFLZMx4yujmxYMw17aL9rs7V31lEBwZFTtz3L4LomNUTpchWFClohQrkdI6oXVgGtaKxOtk6tkUACDidiM7GRerUqQ4rvq8xuM0vP9CrLDjKBRFC5Js1+9ZBYqeuXhh5rXq2TqoimVObqArVvrUckhMVNISnbbG+cjtXPpxBhFlVWrVxUHLP6nDviZbC+IlPJL7GtBeQtiuRTM4lv5jhb/vbOy1XMV2W5DqNUiakKfLSNMR0uYIm80TIOkIkMtWhgbA1uVqutZL4CCHPhPOE5sJIeSxBQUUQgghjzFk+DceHQrgAXiHENQFqGdAnaHLCWo5Ra1nmJcT1LpgKVtU3bopY2SbLC3ADZPUPU8RlSF4PhAcyKFndrNHxu4nQ/Dn0U/rulLXr9+vnlHsB/LnzMveMPNgKDq8+mCrGB+PVi9zKHuvsyBY2p3yaMdrgfw6+yTGrnvTGIEqWmDY/XLjDvxu8N+758TvE5JbUqQ2PzpkrrSjaF0VLogLPjKa3w7mq2HuuleCtMcgMoylMTJ7wK6o6l4prXwmsk5qSHYAinvt+LqJIFw8Po72ts1cGO24+1af/nt1I92xG0zL8tgVUYaMh919afJsHBNSRKt1rImOQDquLxMAmvg5JpTEHkMgGt/bPv/9qOO8N5XJyn7GCyJoApI5wtRWtRXCS8WMKD1SiZIi26YUAWRCklgPcEHN2hhbVlus1Mii0ibutY47gzhoZrSxrkYxxYVDjbUNn6cjiGSE74k2ESXWbszBICI11VGhEuKlZejU+RRSN+ZRUy4h18uY9DJyysioQJ4guvGxpfbxUjF4H13nY+/Q5854loQQ8liGAgohhJDHMKN4sr5jbl9bE06WU8zzNVTvpFPKGWrZougZVr4oqLCME/+dFvTyn37EFsNeP4q4Dj0o7YFvnEtkXWjLCtn/Go95PdHkOpH9TqZMiBJxdz860NS98hDbb62LmW620iZtr09pgy6UeACvbtoqu1kF8NIY65ICGea8DXUUAEYBppffrM45MkNcnIosjlpHh5cQnEKs6l13ehaHjdnEkm50m3wIKQFFC5ay7E6ufaVk3V4kY8obC4o3G6gWzMuJb1tR6hYVC5al4OjoGNO0acsCKqit7Ka6UenuWljP5zhH1tbX/WLC7yR8QVrqhLafNTK2UGGZWONxEmrtoljvbmQvtywN6wQjklCrohQd1tru+0SszOQANrQQgMbrrL6WdoVT88qZps3B/VV1ucpLb0opWBbrnFXrAhEgZ2migZYEqQmpKkQXqALzNjr92PtD20jHUcvw3T8hfL7D6UW9nMrmdz0fIVShZdbk4cuEtPOtW6XNm3XaST2TR6WZIVcoUDOQJuR6G6BnQDmzmZ4uY3NcgXQEyBGAYz/2pgkp46FvTKIlhJDPHyigEEIIeUzSbzJHEGfCh2qFwMtu6hnKcg1lew3zfNVEk3IC6IJephPCiXroEgFKmM3agVqYLrKf6NHGIfu/2kUObBDHaC1R43h1J6tkFF52fr/SEMafD4c4cu5PhwSYA2No8zUG7xb0qY7FNhGwmyiRJHkQO9wkb1MwBPdD+o4gAlv7Rburr1h1imnJIjqavvrdfpFRM2rn0LJ8vCtLP1UFqhvGCjwDIUqDYn6rv25px+rfuw+GeOlSF6fEzDsVnongwbguKCW2C1FH27mJG6Cq9ta5YXpaq3m+9Na4kQkxiC0ttrdsBYF002Fdr6nWJhs+Ny72Wath78jj4pOi9LlCGMq6P4zrJyu5T11EiKvUDjteoDRc97h2PhdN4OrvTcj1fX9GWUOHqbBp6WbOLW+kDdoNYdXEREkASjQy9nOTuM5+pFWaRhwpWju7UAg3vV2d+XrdtC/1mRIXXIf3hh1G+jd/H2m0QV8JYLH6zOtHqgIyoy52jPlsY118AKR8CZKPkFIFsPG5GTK+hrke3oE7s31Y5iGEkMcyFFAIIYQ8hol2pAXAiZXg6IyELaAzarmGk2ufxunVB7DdXgWwIOeKo6MJR0cZ87Jtd6StHa1GVG7igIaYIUNoIKv4xUOXIQDa5TrihPQAJww7ZQw8zr29uxZM5JCicx0RRdrzPdBrQZCGEDGKELGPYbypn7P5i8BbyAK1RpAdYoC3epWElFI3Sq1x/cYwcvKx9cyffF5WQbXsgZiPEBN64Jq89CHb95ywCvtGg1RUlMVNXrV3JYryoUvHk8fy0scGe71iXs+uZ0hI+3csoykAMpKXk4R4Et1otsuCeUlmeJsScs7NsHaTrO1wqRWlGY1WlFpRyxkiWyanY0SraxtfGRTHIaNDdFjPtYkJ2t8GUBVYB2F/L2g1MSlnCCyDo5QZqhUVM5JkpJSxmS4hpYwpTbZGNK6ZWklVNcGqrLIwemvnJGLddrzDT/YspNraU/s1GrpOQRW1DGbPK/q7VVwMMFEMWGRp5TirtagudgxvJa2KIorZzzlnb3+dzM9FPD2pl0aFoOKGxlDzYtJq3XH8eOazYiVQfe1GF6deutWMfce3ZgLCUFlbNls8MQp5/hWv0wqUU2hZsMxnODu5BkjGtLkNm6PLODq6jONLT0TKl4H0BYAcA7Jp+2vGw+3sdud79xEhhDz2oYBCCCHkMYy0O8CqCq0LajnFdn7Qy3WuYN5ewVKuIqUZkhQ5W0vXpQoU3p2ktQL1HyVilBT3o1dBgMStXtkPDrr/ANDvxPasjS6Y9Lv7Fpjvdy7pd9RleGp9xH4jeMejZbhj31/sWQXjr7COxfq49hsatwDOszZadgQEQLSW9cchWgxlBOEbIuLtYiVDNSFav7bRtKC49oyAHdGoj3ws7xmFGDNIFZ26iII0ePjuzI0CSTZIU/ahhOFtmNWGQhPlK11FW2c+jCausXLGDjI2ydO08QDaBJAoY4rEBzPxjADb9lUiu0DHsWMYT5jbphYo277LEHQPY5BNKxNazZ4IUs5obYFrL7VKfiwrdwmxIFkXm+oz691wJAmyZ4ZIEmi17k2ITf19u5OGgvCracKgxrbnZTYoQvKzcird2R9c2BkzKNwXpWV/7ew1fp9ckIgx+ufN5Gs3yrkAmKBVa1/v4xpqWT/xqeDvffXCHlNKTAAJrxUVQFMTGZuRrS+SyJiK7JQQhloqVoiA7qvT12Rc8yjVK4BYJywFIPUMdVtwVs4wb2ekfAmbo4KcLyNlM5w1YSveU9Ei+vDVoYBCCPl8ggIKIYSQxxTnG5sWqM4o5QzbsytYlhMs84OoyylqOcPRBkhJkTOgKKglymNC3EgmjIgJJNaBpYXLB5SSHfVhL0ro2R09Y2E8ZlCHbcZTGnJezvWQ2JmDgwLDOdue94zuB5/r1/TvY4ArktENMXsL1AjuBb0Mw2LVhCzj9awHxl/RSkRc1FnTPVvsx6G8QcO/xAQU89qwaNcSZeKaZMQ1SCk63YRQMmE9qDF/Zbg+aVfgGsWT/WsmAmSZvCzEAuCqId5J79gkcPHDgviqfX8reUvgwXqIVX58n99axw5HMQYBsq4MdXfXWQhdIkMHIY3skCjj8VIdCMpgdFy1ImmBRmaFoL1nWoeXsTNNrDvp2Rb9a3wvDacyvn+bcLMroPi5pJ4xcSHjy1PyhB0BwiMnSc/rkIronlVd0EhSfd311tA+CsggooiG746JKXYdBzPgKOmLt5lKkyv7QLv/UG9FndBNd0Ps9fejigvAUZoUxwOQTASpOqMuC+pyhioLcjqD1gmbaUGejiHpMpAmIG1gHbz8/S7j+2K98s//xNmHggsh5FaGAgohhJDHHlW9fKNA6ylKOcPVq/8/qJ5C9RSCaxDMmLLf0c0JU1IPTgW12t1+5C5oJL9TG14VohkW4feA2IhAL4Lm9V3yTkRhBZAZkC16ucjIuN/xOKMYMW7qAdHDiUgeUWKcIVAIkgsPNgOWZZGkAC1Y76KKxV3RDWbcHwBUqCjKKkNlOLKX5azQ3gbXutlMHsBbaUlVRS0L1nMbGQMupEQQf84c97FOEAjykI1iMauYgCPo45YCWwsFVQvOtmcmJAiQ8sYyJDYZWqt9aTczrtVmsg6iGiQ623iWDzYuYoVxbQhWW/RAu18zy/zJLg6OczgKZW7oq/4+2ZsPy5Cw6zlhMw3lIpjsOYVlo3jGhGpBxQKzMq2tNMjYMUdtJVZ9fnt5FwZBbWfM4/j2uOiNE0Kkz4sm70HueSMCyI5wY6VMSxc6YKu/reRY19UEqJb0hj6t7Qq0czaBTwYxUhWoc4VEyVA7Pvx7bSJlhTThLXxPwldmdHwRFGi17WtRqIuOKU+Y0gTZCCAFy/y7qOUKZN4gzZaJstncjry5DXk6MqFp8Eg58Il5Q1A8IYTc6lBAIYQQ8jnien9CD382t9Rz7Pw1PSgUukDLgrLMKOUEpZxiWU4BnAI4Q8IMyAJBRRL1+DDuUlsgtKq08YN1fSJS7j0IOefP+r0ykCGQ7rfKe+B8fQEFa7FGFKoRJO3OwzrbRP1O/v4o9ZzH1yHirtXmut4groX2gBkaLVxTn5HIKlBFTR68qQkmEqUKfq6tZGhlZjoGqvsDtTv7u2fdO8207JdoRxxbr04n1lTc3W89UBDX4bqTBTeEjf2K+lx009D2ZDNONQHQzGmB6kG5TWfsL0xGo4wnfD+AKIdSDMalMZZWxoNWLtWzUsY58jbDIRJgfz33Nsu9hEeaZ0tq1zc8bTCMJ7WykRBOul9RdQ+QOEe7DKMgWdFOYPTq8YctK2OcW/++7sbdBSfZu/DD8+0zZzBtFng20nr7mG4rnwlPElvTCWGkG7upUC8xa4bLO6bU/VOtl8etytLamol17XM0fE62jx0BegZP//zqkkk/dp8LX4c+eoF6N2YXqtQzerQ0YU+h0DrbXpOJoEkm9GyUflb+cdrONbiRTyOKKYSQWxEKKIQQQj6HHA6EL942Ajv/47ycosynOD29inm+glLPAFwFZAvRLYCt/eEvM0Ss7WwtSytlSEm8vWu/h2zj2Mlm2FdZ0MsGXAxpd4x3zycUjRmWgTJj5YMBeKANtHKdZgAZIkqk748B8K6gEEFX/O58waef1q7aosNzPW4dRZTWJQc+njG4jC47LRBHyyyo1ecpKpXcGyJJQsqTfU9AqQXtTn3bcW3dWvZLnzzDZBTW2vn3TjBwEcX8L+JqDwUwY/AcJUMu5shuWVU7wnocu/KSBa1dQOjXrA4/ekaBCCLDQ0SR0wZZomVtGsQHANXMalPKXeRrqGe0KCS5gAJFTnkYb1/nITJ14Qtt/s3gNDJEij32oF1Qoa20x+aqFFv/ktDKe7rfiKAsi3d3sf0pFhdl1DOExnny7+26x3sC/pYKD5jxAtq+JAFTGs9zEBL2QvhRgYzyutoOGRkkllk19HTy55ZqJrKQMEeOjCO1jkQaa38tCK5FqnE4dh7Sjibo2Us+l2LXSzX5/I2+Qtjfr0T78Phsq8Pj0o4hMiGlhJwEKlHmZmugLAXw96piC9UELKcomDCXUxxhxkYXHB8nQI4gKY63nunxXXo98WRcqYQQcitCAYUQQsgjxn4nl24U2u+Lxl3V3RcPnU7EUufL9gS1zCjzVZTlFFquAThBki0qrkKwQDBjTIHX6HaSIo29xK1aRNAf7TnXnhU6bNvv2m7nU5S6QFLxYDUCn/Ek1iKApOphdgREkQmxG/yHeDFMhoRPgpVbRHcVEQvQLLhe/HFFTpvh/NZj6m1Ih6AUbuwpniEAy47QGmOFz1NkRoyB6SgwuPg0eGpAq0leccMc4hlA4f1RUPwOeASsdchWqC4spGw+I62LiHR/D6lxrfpVU6nDtZTVcU3YKT1AluKZAaWJFWOWQDzOObcjhPeLQKAiSNj02+zDiq9LdHWpUPEA3YXAzdFtbdi1Zd8AggkpTajVvFkSEiCz3fmXCK+9Q1SZXTTJ3m42QZGwlG07f5HSPErsK1sQDkCrzw2s403yzINaBajhuZJ8nPFeFKgAtXX2USuF85KcAkGpgqRqwoJMQFIkSSjF3ou1Fl+vwGbKwxKNufVypWrBu637jFbO4utUq/njhCgTc9PXyAbxPo+OPjW0Tk3ILn5UDT3Qsy5QfTW76KY9hyOEjjKfuN+KIKeMnI4wbTZuxDr8r2XaFM84ckNdJEjNWJaKUoq/ZROSxOedvw/V17nY+z+nyeZENkBNLsRpW9fdZybHu8HXvQLIKKWgLMW7/ghy3iA8WOxjoKAimZAiAvE1UuvW10qCYgKQofUMM4p1gCoVebqEPCksvEgAJjOY9SyVeN/o8C7p76R1LhmFFELIrQoFFEIIIY8Y+21wgV0vBntKdzbzgBbeASQpNCmW+QrKfIqyXEWtZ6jlBCKngMwQPYGgQCTKZNyA0YULkZ4i3+6+R6eM5uNw6E94HYaqKGWLuWyRUoEktUAx+R3wJiiM2SyK1MJ1Kx2KzJPzgoMQa9bjiBd4eUQSDxwVkIJaZ9Ra3RvhkICSmmzVj9LPLUoj1NvL1hpZBSEghYBgwZmVMPTMALuMQxvm3Zv9bSgRtMPbHtvchZWJVstOsCDbMlCyTEhISDkjRiNuHtHW2EqA80Af8Dv2XdCyrIHqV8RFMs8+sJa1gxjThAPsZEmEuBSilpfs+NoNAaxoaRk4KpFNY/ua8nE/RikuotQmOqiPqXV1ErFtIjOk+vtDFTl5iY2v66ruKQPBlHv5kole3UxUMZiS+ppqBrZQaDGBTzxzQcNjQ4b3lgtDNq6lXeOqtk6saYyXHNUQ0xQlVIuxRAfekcZLdIp6to2EyBmXwOZEVT1TZnExo/oYPeso+3vcW2tZ2ZMLIhpzLZ7s4j23tAtdMrR+jutv51mgZYtaZrt+aQOZEmTauAG1tAwby7oJ4c6zpvJk5ywJtQpKsTmR+HyQEF9KO0eBix7J5tXeg36l2vugt3DOfh0lSsr8fVPrgnlZkHMxUUkTItsnBNaqYQobGXIhwMSayVBkQGcsAGpdkDRDy4KkG0COAUzmixLlc7qWTOwc+yfgvpR8+HeEEPJoQwGFEELI55T9+4wa0bv/vAD1FHBRAmWL+fQMp2dXUcs1aN1C9QSKMyhOoHoGyyiILJDRiHIUELB/3M+AzdGEVAHV2e96F5QyA1AcTZHhEWLNKKTY2ete6cXuuPq2fZzr7XuWRARNxUuVIvgbU/YD+72VGySktPHvCdv5GmqdB8EpWpqOnhrJO9kMd+13S5LaaPvvui2MeDCVsFeyIQpUz9aQ4l1MKiSb/JSnyUtDkpeGuK+HRMAdGRz9uEVD+EhQNQEmDpnafPhde99HSsmDxd25V8zz1s83vnogK9gMZrX9WpkgkTz7wLJD4tpoDdEOyFNC9jKdKU8mGqCiquuHyUx5TfRw8SQvnjET13xGiGRoYpdgKfbdsk0SoAUhHPbyGYHWGUUVNXmegSRIPoKiImv2cy/QFqRHCZsAni2xlLll+pSiABIWLNhsjpHzhM10hFITlkUxZSsDs3OLtRCCQ1+3tXo2SY4g30UGFzwTLFMmiYk287w1UUQEqaKtW1EzX9XZBBRFQk0KpGwG0oOY2K/f8GM87T4/U/YCslqtZKmJk8P7Lsqz/NzKMmPRio36e2/KODo6wmazwTzPrqn08qvqYrDZrNhnY/WMJlErz0qSoNXOvVRFWdxfZmNZK7l1x7JMn5QU08azQaSgYAuBCSkmxIS4Oa4buJFuzEeIzhNkWaDLCU7PTpHkErbTQ7h0+UmYjm5HOn4SkCd/rYlTNbpKSRdDCSHksQQFFEIIITeR64kSPfNh7cs5BNEogG6heoq6bFG1oG63KMsWWk5QywlUZwAnUGyhcgYLHIdOFEO2gR8N7Q7y6PewOv6Y7TE+LzvfAZEJOVkXH4WVovRuGLltKohj7YgFAJqHyO5hhjHYnfIDw4091Z7pYBkkngmxN+6daxLjG8phoOqBmW0g6Bky0sSKMZMBCONXEzHGw4R/yHjW+5k99nztL4u74B4cR7tcILVygwhed7NBYh56NoqiVjO7NJGjQj2QDHeSft27J0ore4nfNFPPEARCrKjt6Bbcil+D5MJTzHGcfRoqpoYyqjYlMsyJNmGul4jFfjIUgtqyCzzTw8+iJY8Mc97LkiL7RAHNUEnIad+zRqplIqQW3rrw5Xu1zAofv8R1i7EnL63ybI/Q+dp8CJJkKzPz0pMkMYaKnpSibfu4zrWaKBndsgTeYVgFUv29Vj0zBaHJuhygClTL1tJafC6y56L5BMoogIhf66GzzJAJBJio5bIIwqS3y23aLm/Ie27H69ldFRAgIwRBoCz2uyR5sESytZZDTBYr9xItdqy02Hp2MSIly2aB2udTShVVxEUnv77J+jat38dhElz9uqnPo7Trt7YDisw9Rc4bpJSxLCdQFBQFliwAFhxtNhA5AuSozYWZECdfNnL4A44QQm5hKKAQQgi5yexmUYw/HfpjObIoKoATAGeAXsH25NOY51MsZ1vzDkiAZZxsbRvMENn2oBnZ0ud3BBD7X4XohCgN6NFABMWhVOx+7Z6HIMkRFBOQMlQLgBmKIwBqGRouDKwzT3ogvp6f3QyOQUzSfvy9edPqxQ498E8pe7AzthMdj3t+oFJV3fMkOtZYS2Jxr5aVcAIXBjQ6C+2eU8sTaGOPWAnqgdzqtv4gXqUeOAsmD0wTgA1a2+PhKOb9UNrj9ntUzMuJB/sZKZmviHjAuskT0oF1YpkbMsR1IRZUF5hiPv26aUV49SRZbO7qkLGTuuij6p4iTQjy0erO3GmYk9rcRkmNVVBka6/tWTiKCtEFrTtPE2ciA6WakBQZHS4cWACcgWRCkZkrh6eJCTVZJhefRnFOUMt4zUfz5IQkmyb1SLJz1ir+HZDs7XclA7DzzNkC9lKrzVH1FuOAe7f4mlEvH0ow4Sfm0DNr1A132zWE+OeBCxFFocuCOs/+3rKsFOQJKQ9ZGqsOONLObfxMUFSk6chEGCk2p5KaWAK4h4ma900zjnV/k1IXKBKQBZtNxpQnLLMfSaaoUDIBURQipXkC1bqFTU9BrYIkBUeby0gCiGYUyagC1BLqVbVyQ5jYmXJCyutMq5bJFOKzZ0PZkndxMjSheDNrAjDjaLPB5ijjrHhHtOUqTusV5O1lbDYFsrkM4A4gHdmcI6yfu3hHCCGPJSigEEIIeQTRHlD5b6SVR4R4sABid9yBU8zLgzh96Heg1Trp5GR/yWtVK+3RBSKLB5hRtuMRh4ZRamQPmI9BD+XDq0LanfMeFfS73T2jYvdOOFBK8QDXMg6mdIS4O9yNZLvhaNx/jv2LjNkPnu7fUxb6y/rgdrQPN5ds2RA63D0HouuGBSkFXcix4EgrUMWMZ+O8ylJQNQJWCxYj66OPu5/P6uq2pI8ItMbuN6OIZIFkqaPhbheMYveSPMRKCfCOHuaV0st01K9NeESM4lR4aEyb5GNxISjB8yqic0+YyPo/rWV1966xrBs7Xk65reUoX4mfa42SoTDEteNOk5dqSPbuJmkQxvraivMBvAxm3kJyacJFrNu4xtYy1st5AAvSa78u4xEiI0aronVz0TSsQxt3tBbWWiGSUdGNRq10yq5pKb72xmycwbg0xZrRqa258C+xMVpGS04buwbJskNEwhDVypZc9uwlRj5HtVbk7G3I/ZQSgKoJKU3IuTbhKmc3XhWgLrOJP2VpAoS4QJGn7vcx+nL0h3FO4ReSrfxJfW0O17S9L0Nwi25CauMy35MwSk7QWlCTeNdrF0L9HWJTXpFSRq2LZW+4YFa1oi5bAAumPCHnCTkfQdU+o0qpnnhjn7Hq2T/JBSiz+1HUUod3ovsFhZiisIuxQ8se0YT57CHU5RQiG0xTRsbGhKN6hmtXM/LmdkzHZ8jHdyDlYyDd5p+G7gnTPvv2DkMIIbckFFAIIYTcNHbzEHZ/kpYVYb+xAH8B6tY9Ra6hzFewPX3AAiGBG7D6XfK6QNzvI1rO3siIZPi3BUGrwBswU8Pzxr/u4lJracGQf/OXFKzOT4FoTbofIIx3t4ffivjd4NhG1vqODHeMESUvJhrZcbopbg+QY19DMD1kD8Qdf9XUg/YWsI+Cz+7cxB1s+1UPPqNQJg1b2VxEGYMM89RWh4SQ4VkK3gmkdvfR1Vh07NQ0jk0UyU1kRfqXNxsC4nwxCkPSvqz0Y5AhmpAR10ERhrkK8zGpdV0GYTKNBcMIUWWVGeR7t923pVxrRSkzkgf4KU1dlIGsx+XX27IF1tlAIlFK5WNJMXjrwrMyZfUAP1oWi19QlWpeKLKxbAevPNNBHIhSJxH4tqN4FoKNHTuMSK0TjXWJERdgJLq+hL+GjEKP9CkLI2gvNRH4kvHyoZx7uVdKUayi/pavQLXHVdxLxoWk1tpahuwp6TJZLOQoAIMkE2eTfzaMouxKIHSxJ9ZhiEHtfVz8fReCalxj6XMi5l1iSywBYi2/Lbso+bXPLnSZ6GimupGlVfv4Rbw0DN7FKNYt3KtHIC5SmvZT29rc+7StgqIVWrbYHF+GlTcq5rKg1i22ZxOmakKtZPvclXRs5xafUfGxfOCj/HyvKEIIefSggEIIIeSmUncCRCOCu/G5AtQzYPsAzk4fwLy9itPTTwKYkfNsnUmgqCXSzeMGumcJaO53viPoiN3HXV8A+8F/Ro8Ohj/QW4460I0f4+elPZczkFtpge+jom/fAvLid6K7iWRs0IO8HvA0jUCBggXROaSLBhVowWkPjte3cAX2n/bYzsaZPNCNu85aK0qJ4EqRs7d5ddGjiR+yey17ZxGbl9RNJuM6SMKUj1a+EPBSG5WCqrMFgKMIo4LwPlEoigrKAuRswXWpZx5oluE8u0wz/i72aR1SIjvCgvIkGwiSGWu2LQfxRBVQa3cb4Wyp6qKIlXcowsQ2hAoTBDQtUFTLsBETBqz1q2dlhBAg2QWuMqyXfv6hFRQ1UQPeqUhQcGlz3Oa1i0gCLYoyb73Vc/JkioRJoltKzI+PX6Qdt8/bZPPpvhoCRU7q4lNqWSg5baCaUDUkh4LQ+ypieyCJCZ2tQ1Fbj+P1Q5tDaxN9bMaumO1YuV+nUZBYytanr673JwlHm0ttXZdSfA4LjlLC5vgSFrFuVUULJFt50LycmiDiWU8hIIZYGuNOctzaadcqLn7FtTO/VBtfQS322uPjY4iIj8Uy6fLxpp03YJkkybPWSjmDYkKUuCDEGUw+T5a1kSRhM/VSrnnZYllCphZsJjMAhlaozIjyoapLf/9XhS5q3jMVWGrxDl+5iSjtg2llSJ38gguqzigKVN02oaRqRsWESSrKfIqT5RT57ArSdBlHl06Qjm7DdPxEAJOfm4ujVQGxNs2WfUYIIbceFFAIIYTcfDTu3PYMkHanP0SFegKUU5RyFWW5irJcA+opRBYktc4y8DT3FkS4p0EXOvzB+E2G0paV78g6wG4ZHitH20F0GTqBqKxzK8Zd7fu6rO8+r8WckV3TSntt9zEZBaAx66BnGOz3Cha07JMQJWSchx5wjjd3I3hv2QOxbbur7hkJGMWgEK0iy8QiZ/MZGXwo/JUh+hy8Jq18Br3MA+bNAi8ricyVfp521LqTwbM7Hy1U94ya3bvaFgSvxbaeFaLtOCZcaKQ7tOsQa70bbrow5XkMvYVtL3WB6P6SaAJK8uyM2n/XBJAuFnTb5J7lYF8aiTsm7GhkVERGSG7HS549YZeweJJPbTNnXYRk1QFJ3JvFzEBjbON8urBjcgpas+QmZMXY1fWiWEvWUhhJkbOZyybPUoHG2ovSl/U63P86tBw8q8r9QKTG7JUuUupoQu0ZOZFBIVYSp1brZqU31Z9HL/UCpAkvS1mQZmlGscC41vr6srOw+VHvpNQ/OcOw2s691i58WpaNtLFbZlf3hxH0y2Nr0kr6NDxOxpUk8Awka7se68k++6J9NtpcyTDXIiZY2sepALLx988MVMvEstKlAsEGuS4wQeoIkGzZKYPI1z8XFJBzrichhDxKUEAhhBByE9kp0vFAJ0f5g8L/iJ+B+VOoywnK/BDK/CC0nGLKMwQLxA0mLcCIP64TxO+SD2HZcDQMYkFZBf496B4DrPEP81GMGF8HrPY/vkzHH9a76gLOsB9LGdk5fnKdRpv3g5XTpFYisnt8dRFKEH4fHn6FwKRDsKyCJJGpUCNmBUTcvLOfX8QpJnQMrWTj8OLz6mNPEmamg1jSSif6nxeqEShbOUsSRZXoQrSej1Yq4AKEZZ2IlxqM4pa27WX3+rhwJsiWUQC4l4ebp2rIA7sCFLCjjfklTv06CLoQ4FQtqHXuHWRQfNzVSl4EKHV2McKFkb1108U6SQkp/ENWQuEYXHaRJoSZlC0zKS5Jcl+cWiObKEPDPNax6UlWQpLMF6d6eVVqpVyCHOUwkq2zSy1IqUJrgkqCDJ2QYmwlYl9x7xlJsD874/phEH1sHKlZjHTvlWhrHAJVL3vpa9HKkbzV80ph3RGPJFsKmQDAggoL5KHWeUhrsrEm8WEu0HpmIqFkE+vcKHgps7X+rlsfe0Yp2rJKljJju91imbdIOeH4+Bi51/q1+YruV/a55xdP4vJPqGrli9XP2fyPigso8T6P03VBZuW/UtvPRa09+ChSxLmiwvetQAVSjnK+2tdZE5X98zjZfKkqlmW27ZJl4uQkQD2DikmJZS6AnGLZzpg2t+F4e4q8uYw0HSEfHQNpAmSD8HBC1V5eFeIqDkOJhRDyuYQCCiGEkEeEqPWvtXrcVAA9RZmvopYTlLNPoZYTLPMV1Nq76gALFGeI2vwkk93BHAL1iL3XfhCDaNFaze5kaDR/kPjVOR4aO2eyRxNPdgWRCI7dHDZ+37pb9K4szbDRj1drHQQUD6rS+aFB3D3uAVMPspvpqGAYU0Rl0o0+I4jyfWl4WrTSl1EAGsWoIetkEE9iXEUXf0mIJx6DItxF4hqM3U1sH9Fp1wQJy0SqYRYsPfAU2J3vwzOkgyA0mAe7T4aEcBSts12MsoosDzrbvg5c5+GgIp45gRkqQFXPmpDwFEHzvtg93xBDRiEnyxFSnnZEOHH9RobfmaAVgkLVxc1U4cFnRhKFSJT9ZM9u6L40a6Ew2M0QWs+wZYmIZYZJtpa6mszIVkdRryBMhova3CcXn8T//IzsFwG8nbEJLdlL9WQYRct+EkWtpa9RjbbRnjkjmzZ+jc8LCEqIOHlyzSQDLnStzrWqBfFJgDqjzqeIzlRZxMyAUwLKFqhLy7zQmgBsTFRwb6QkgrLMqEWwyQkpT0hTNuNWVZSiLoxUJLESPfO8cW+YBEiNz5VhLWp8vkQ5WPeaafPf1ri9Tr3kyoTZQURx0VOSQBc3noWV+ZnoF+vcSnnUy9xiPBqfNakfL7peIcVnkxsU6wxgwTKfQus15Pk2pHyEPN+ONB0jb25zbylEPRRaW2XZl0pHKKIQQj5XUEAhhBByMdf7yzVYBZXxOg/GoVDM0HoNy/wglu1V1PlB1HqGulyBdcQoEFlsO5373U4ZrUhdDIj2pGET0P6NwH/43kgedI1/ah/abvekI2i5gTnYnYjx9U0AAlqZjbiPhHfVCIPOSM+3kHkvJ6JlaoyjbKJOBKKIzIku3qha2UYE8yFC9P3Yne3a7jbvzo2HtJqGwGrndIcWy3ZnX7wDiIfrdXeORnNVF1Ha6MXD4o0HZt2stctF4ywMsseOmWkTrlQ9kA/hwrrZSFtbvp9VwDaKZIPfjk+ACJDaWbtYEx4hkUWDAkWBtFa5XTyz/YRoli0DpQlYQ3ZKtdeojllCUd5U7AyqnRGSoiJhSi56qJeHtDeNl8W0qRuL7qKMybNFZJhb6aVbooKkCbWGONcD95ZBhgi6NVJeICj9Wvu6VQxrPg3rXl0IGdf8WMajQPhoiCgyYo760/B1VBBZLZY9pSVEnhAJbZGZmOZlOmW2zBup0LTxa5stXczFKztOMcHB20MnWLebxd/PtRRo6p8BGpklkV2SllZyl9yHp/keNdEv5t5Lr+IdsCqjGkXVHQHZs926V40Lii4ylpatpm3phZ9vXIvx/a4+IqiJSmHbFD49tmm194AbhisqtMzWjrnOSPkIFRWTFvscmI69pOfI18fYMaofd8WBz2Ya0BJCHikooBBCCLmp9D9bFUkWIG0BzCjLCU6vfQIPfPp3cHrt07jtUkFOiilVJL+bvhTLQBFs0cWDZQjMdoSIg4yB5/iXddx11Qu2w87xgO57sXuc3e/n7G8V7seO3GS1Fm/72csyqgcTGbsmmhj2Uy0LoGGBeQqT070Ba/+WomNKdGPxIC/8K1rwW3uHobYLD4vC3FT6k/GaosWCK0EzH11ihuqOqOUGrzltPLiNlrmWJZBUABwhpYScUi87ikwd3Zl/Fx7Saq57JkWPxWL7XqLTRYkU0WGf3ezrbsfzQ3IC0oSqGYoFGQrVDNWMednadRW7o19RkdyDox9gzDCA+414ZsGYIaMAWpZHbYIMUFHLgrPTM4Rfa8pWbiNSkY+P3JCzDmvCRIKyWGZAdc8OdR8UgaJ6JyPrMlOQqolgJrolVLU2xxVq5TzqZWQhlCF7RlNFXbzjjQJAaW2Yo1MO7Czce0Ox/vN0eO94OV+IjF3xMaHWMins9wIgq6CqmLTlr1FPeZE8mThTBFoXX6u2rpMoKszfpFafY0lQ3TYxxToHxTp1kbjMfoyMabPBZnNsdk+1ohQzgIVmhJdJqQW12DFqMhNgm5kNVAoyCiAJOSdosvfpUjbt/ZlaBsquyGrlWP1jqHs4WSlfhaTJZFaxnCSR0IUqildHmYexyzQupGgz4K4uEhaIKKYpN0FWUaF1tqwcyUAqrStWrVvLWKoJpZ6ilA2qblHLNZRyhnxckeplz5eaIClDJUo3x1bihBDy6EABhRBCyPXZv7m/T2Qj7GwsKBDdYnv2IMpyDWdnDyDJFkeb3qWjBb3DHVP1P5fV73Zr69KyHoi2VHa0O/gtch+fW41rJ9tkZQra78CaIaMFdy1rI9LJh0C9+4IMgQXCyNZ/LeIeHBYMRhCjIihl9I9w74o8+Z3dGNs6yLapMK+EdhfaxZCcph5kShzPXiXShaDwKxGkFjTbU+7F0Nrj9uCrB2vtgnsWg/uVhAAx6k2q0CpeFGNCQo/movzA2yuH/4H24wOKnNyPIc4BAJK64exYglHbuEJciTKSiLMtWyT19RQ1JKreWcaFLQy7bQ/jGjc5pgkqSdwsE1NbZTl5TkrKFkhCmgAyphFpG2DPwOniUF0f379iPZZqaoF5VsSd9x5Ul7ogymHE2wW395aPSQAzrm1iRGRrZYhmD5Qt1yX53PYMqdEHx8ep4kvXRp1EUFfzpkg5Sp/i/MSEw1hvLvD18iYro0lQTHIMVRc3ND4fTDLTugAun1X4R0u1jBcVk9YgVhqInJCkomL2awg0E1axzkvibaTjPTacFSCClDctE0hSbtvYWs04OrKuQEmydd9S86HJItCsLswU8+sRacImFKglrl2/nlMWW2MKNL8Q/+oCB9p7d1xDtgbQ1kMXTq0kSuvc1lYcM8rk1hJNbZ8x9s5Obb8tJ0xNFJe2jl0wC48lN8tFrdCSUMXE2rpNkHyG4yQQuQTJl+xzWAVAWZ1vvIkPydXjZyqzUQghNxMKKIQQQi6mawv7jMIFxoeWPSJ6gpMr/wbzfBXb7adxaSO4/dIG8/YUQNz1HvMlBJBp2N3oG9KFFtXIskirI4YvQo9+e9C7Fjz6H/u2zwINUUSrZ4FIMyAVD26qDu10m7HqKKhoE0/Eu8tYR5HJh68oVZs5ZPHbvSnZneaUxe/QW5VAn5fU9t9b2UbL1allkySxO9xFF0BTy2qBWElBzETzBvFynwgK1efQ80zQWxYDY6AcLZRDOKm6oFZL0Z+mqQctUZpUY15GM8rYnwXs1nLXg9wYmwhyK/1QdO8GG2f1soTWrji6N7mw0ow3PWNBRLDxDA1IFzZirYyyhh2zIrxXohOMlSNF0Bq+OpPP/4LqmUBp2gx7M3FGa18n2spv0McgCqTR86IT+lcST8CBeCaQYHN0FKu9jQ1IWMoWtS5IqSDnY0x548JF8la8BVKT5aRotUyaYhlR0q5D9jHW3vjK92FNdCf08jo7J9+jzVey8hrL5gAk2RpJKaHMs+s2UfKUACzIKSOnDaJcKDKrIAk5ZUDNS6MWE+imZGMs84KckhtX23sZc7H5F5i5bUpI6QibycqQCs6GWQ7T1AJJwLQ5Xq9/F9nEhoUp5b6u+5Xyz6eEy5dubwa8dbGMk0kSNCty3sBaeoeIZGuuVkGtwKIuaKSKnCaklDHl4yZaxXaAC6+R/aHupxSGu4PImJMJOdZVuUKrt+oubu4t6lk2G6S0iaorNC0G2rPl1ErWrGOTvf9qZMX4dVQkoJbWmSvaWquXLym2VtIjZ1DZYt6eQNIl5KlC8he48e7G5tSFGxOPBVF21t+tXdikZEIIeaSggEIIIeSzw1IHWkBrAeyMslzFvP1dLPMDKPMDQD3F0TRDUFFLhcC7Ngx/+ibvFNJFDmBd9jKIFK0kZ5d27xnroGb3T+0IuIGVAa0HzJZ1EsexQKA274V4zZhtMo4Nw5iT+VKWxQKOqliKFbSE14kFYxHwix0HcGPK2JP5IURL1RBOTADppT5V+7jChNWEpSGVYnXXWuwuOwSlWDCUNEGxQFFQytxPZ9drYfhKSbz9bngW9P03YQDdANh20bfpGSw9q6M9n3LrCgNvZSySV2KEZUzU/j3ECSzt+lZUiALzEtkXCZI2MCEqD3f0R+IYpa2PHrZZpkA3xRUINl6uYBkVGLddreOC9XqJXdSdbcdx+FlocSHPOsHA7+dj7057eKO4p4xm7wjkmVUiqMhISdq6SVBoMlkkpbX/hGUrDCNzES5BoFJRNd5zVmLUWhR7WU07D4GJbSpWajIIWK00pAl23bC0lVaprZNo6WvRvcsKU3KxMwQnAaYMeytVUz38vR/ZRpANQuLSEEZVAZmQxqq/5jcivh59ny3rYvd6ucdJ9TbO9dC1xvp6q61RuwJmMFuWGUgLNGWfbRMotYrrkYoSn7+ecZIEVn4lJrLEPIl7pzRPopZFoi1bJIk5xgDJqxkViuKlXhXLUnqJn5hpbimesSNHTQBtHkyaLJsGCZLDAyi7F5GgaHU/mmKfg7rg5KpgO1/DZnsFR5eegpSPkdIlEzzb22Y3N2ZcY5RQCCGPDBRQCCGEXIyMAdABqlpJhVTrXFHPUJYrWOaHMG8fQq0nEMxIqQI6e2DpnVXsAP73cIJoha6EEU/TFguSIkjYzReQVUvaCMbGgPXA06MIMGSQtFKIuOPqgXeEsKtRj2VI8czuXDWT2Lhz2z1GkpcIiFhg2TMdolyoH1fQ776uzVFtoy5IDQajTbEYhR0Lauwubph2WhtZVbV0es86qLLEzndild5xxYZgHgU928f3HdkyUocdRGnGkMXRzjTEo74fqRUqydsAm2BhQksEjD7/o4gS+9IQUmI+gKLqAWJ248sCkY2XIeRhquIc1/vs5VnSj4/RXDUPwexwHh6i74ttwIEJ3kObOOaZNVq91CwCxvEad8HFvke2lwXl0aLYmhDHmOPaWAeWpoN5YG1vB3XhJISuZGt3VWYHH2NkMtnng7W8jYye6ruNdTG8Z9WzV1bvI0u/URdRQoxEe0+ZEJdzf89HW+ec7bV1b84jDg/LYm3rMgpZsFrT/eXS1n1cm/H846y1lQ+ZOWx/pq8lNFGmiwLqT3lWUFmauFGltGw4VOlz0daarY9WmSYxbyGS+Xt2OCHxubLPVRdGEN16hs8XtRI887MxUSWlDBP1PB9Qy6BrxBrpn0Hm4x0laGjPqwJaBPDsu3l7tXnzpLzBhMU7NR0hMqN65lb/BoAlO4SQRxQKKIQQQm6MtCNQNAGiAtgCpQBlwbJ9CMtygrOzT2KefxdLeRCbzRYpKbLY3VStS8RDaOKJozJkIPQIDi1wDaNKkf5K2d3LjdCDDfvyO+bxhz/QRBGtC3pZRARK+8HYGr9jfui40o+ds9qdYg+K4Xd5+75DJNkgzGEtC16AFnyOWREV0dq2H9EDMs8YsP0N3WAOmuQemq+yEopavO1ZMCHqmAlsnL+u7sxrGFPAArCYR2tfqih1izDljHkQL6NC8t5BMo7JztkC+50MFC/bMRElTFfRZAwAqLq1edWMnC95+VSICd6RCHFH3sWpZq1je0mSzRuk+bNEtkRpMfI42vWdcx1+PnRHfUyBiHOwtsWlbC2Do5UvrefF3qJm3lokQb3UqPjd/5wv+bSZ8GOBeEJrFy3hJiptDVlHIQHy2oRYxFrxqib39w2hx8rTIG7SqoJSFixlhtaKnMYzDq+LDNX4EzXWUQ/kqy7QOqOq7QPVioYkZeR8hFK8bKv4+pkEfRHGvlwokGQeu/67nj1l51HK6KM0ZLStgvT9a6ew4N/Klmw+p5yxSaMx9OgpFCLg+LmE9rmwLBUiC2pNSLJBTtreb4ouzloZnSLn3EyAU0pNjO2fXbvnNWbSJb/27l0UPj8udlYvFaqqEPVMlVo8QWd28cXaeYeoGMbFdthq/z0R84xJKqiwDD2UDEXBUrdYlhPIfAVVZ2w2l3H58ow83Y6cb4eVCEXGWP88onhCCHmkoYBCCCHk+kgP39ofqlGyE3fmU4EuZ9DlFMv2QZRyglquIskZNlNBktkyS+w2I/aCxvFvXsVOcOI/h2ATx/W7uuML1+OMO63rO7OrO7/jz36ucTiRngFibX3hweDaMNPGq9j/sz2EIAsgcsruxRE+BfZiSeJiCJpfSbRWjXvhMSYAq0BoNCRtr402v2HaOYhQ0na0Dv4s+IKPr3o3Hhdl4g7yzglqe3VkwnSvmO7REsFN31qi/zHMPyGEMUtCCbEEUKkY29zuXBw7r+rXSIbn2raWGWFlUqkH0OJ329F/9vvzEJQWgKmvD0GUiYRINapBIcbE2lOsMpHGWR5j+H41sPdeWBkHx3lEi2tfyVotE0DDFFYP7Nf3Hnf4q8WcLQNKas/aSoDseLP0EjX1Upu+f8sAiu17popgzNzoAhqiTE0SUGEBeDWBzMp/Yt9eDqOKrPtzGOtJFV5O1zO6qgKigup+PKUU1FK8PG4QLaT6OrEMpN1OUisvo6ouoKxFzzYPMlyzVRkX/D1ZW8ZP1YKcNjvXNtbg4DO0uny27qqW5rVTm5dQQXYrkC5WuXgK9wZKybtYxfxLvAA9pc6FkyhbWn0e2nslMsxUxMu7kn9e9HmQFEpYfz+1axbZSz5f6nNmwp03LY/PShfXs/RMtPnsIdRlRpJjHB0BcmSeUna4tDNnflQKKYSQRwgKKIQQQi5Gx7BBoRJ/ILtBoSxQvYY6X8Fy9rtYygkUVzFNW+TsWSdaPOiJfUZpx6EsjQMD2Ms6GIQXHWOPte+JjgHRnpAy7jNKZIyUxIME9fMM/wdPn2978KBTdfijfRQQbPucst8JrpDSS0vMZ8JyHAAMQeEQxKyCrX7MKFsxPwwrE6qleilDaqUxLaDdFSPgQfkqEI1WuT1A7lkQQ7nFcEffRI/JzTLDeHQ4wMrroT8nkluwnpoHjEeFUlDEwy0Js1y/oy7JPUy6dNEC3xag2nml5EabIoiuT6l5pLRVYueWzGw0xttWmmCn/fJwen6O2syU14LX+YRXz7hW0uHv3lFKYWtS3VdDq0JS9pKIXRHFrnqtIQIOIpx7lFinGRuzRHmQWGSsXmYX4loXslptSLu2Y+lKrFRbByb8iB87uaFIqlZOUmqxa9nWYwTxabyy+3O+Ek+0rX0osNRiGS7LFlq83GWarA2wCPoaNm+gNHz+yCgmwIxVa10QJ6EtA8s67ogO18lVoD7H/n6qcxNQQgBbe9yMGUa7i0bbfkyo6O9R6Oythe1zoJfsmYBiwo+9byIjLO2IHPbxG0pIN7ONY9t7ZSjR885YktTX4PjZnfwKxhz6PrQVR/k6hglwnkwIN6P23DKozhBR5MmddOqC7ckMkSMIJqBWZAHk6MheijDB3hWGCSHkkYECCiGEkBui+t3JvLrDvgC6RT39XSxnD6JsH8IyfwqqZ0A6tTR7WQBvEwoArZ3vqmVtPKstSOiMd0R3RzXcTR1FEonAY2l3Vfs+x311gaOLH/a7GrEcIvCD3fEN4SayNDSyPiryZKauYZJokbe3X00b7zpRW8AA1eYdACSkPEGSmo+AxjE8MGveJ9YGuZQFtc6ouninFQskc5rMzwLhrWLmvBAZsmd6O+AeHFk72NzKV4qHb8swt6VdgxBlop1rGNn2oNfnZxSt1IK6tsVwnesS7Xs3EChSUm95anehrU1tRsIGgmyBU4vfwuNkHKudqooitU4nEWQuJhBoQUU3eq1lcZEldb0pznZce3G3HAlJJkz5yP1Bazsv8yZZ07NzYtts8xMlT6vOUqOI4uGhTDaWBMgmoeoGUXoWhpwQs4KN6zxlHa6Td5EpFaXOOC1XPCnAs3IESOJlS0OWi/3PJmQUS0xYse8iipSH0qjFjG5rmaE5WZlatvdrSglHm2OUPFnGAczU1PyAYu0mlLqsWlirh+JTylA5grg/SPXgv1bFdnsGLYu35jXRdplnQBI0JeSk9j7LyWN87QKJRCZSFw+SDIJNtXWjqEjTZpWNFu/hmHf1bl2lzCjVvy8ztmcJR0fHSGnCNHXDa2st7UsxwbI9EB1rknctmiB146VFBSlNyNmHLy1faBC9rBtP87txAbf7C/l5Jrsm2deX1vC7KShaIEjILlhKsndh9YVQff6sC080Pw4BJdZ1b5uMmPP2mewCLCqSZjsHLUCxLmgZAjOmLbh25d+gbE+wnF3FbXdUTJvbkY+eCMgRzAiYAgoh5JGHAgohhJAbw++eqqgbvbohbDk135P5IZRyBYoTQGYkmQHMfifb/8L3tr5WAtADxOYnGt0gVoaYY4bB7p39MTj3e9arVPseUPdWnuNu3cOhBbW9/ESHjhlNNPHjW9mI7gQCPr5xkH6+6z/spc9Fy/Do+7ab+9FtZByvz514xoSW1jrYvqoLKGGwGGVFfc7H0po+xRpxN7pHCto+tGVKKHoHE7R9jkFS+GS0TIY20aPoNmZ3+L8tu6HfiY74SxGmtmOZUM9kidIYD82HY/XAVlrmga0DgTdEEQA7Yp2GCWacig8kDGyNnhnSOiJpxZgHEgJKKwkarn/M7/Arv05WytDKGVZ31bv4ksIwN2J/CSNQadc7xmdWFNKOp+06eVcia/liXiStxMN+vy5ZahPm89RNRmOZ9rIeNGFRa1w/WQ0tRMlSq69764yU3BcDKlbiE+KO9m4xSayMJFqDQyPTxlolt/ejl6VY2YuPW4rPx7AOV+LqoJyqCSi1CaZrAWC9pofPLN++e5OYuANdXAzZtGyo9pIk7bgKtPkPs9okgmwPvFGRG7264ByZKJ74gygRbNeqia/D51e8H2KN+zWpfu2qp8yIVEQVVKzpBCvnkVJ8DrVfX2gTIu0cZJjzyN6Lx5GKEo8xnIC3MZdsbd/nEyz++bA5uh2AIk3HQIqMtMgyIoSQRw4KKIQQQm4IuzNbAS2AbAGcoZx9CvP2Cq488FEIziCyxWazIKWKnDx1W4FSLOBsBp3qd1eHO+wrcWMVdO8IKXvP1QO/D9Gm/y7JGCj3s4p7o5YlkpFkstIdLTv7G8cW37tPhDGm5scRAGjBspTh1RFsjEFyj1CSB9ndR6AfW5tJaoEk9Vd6cAQg58nKaRB3yEN4CAFlmBcBoMkzNHoZwjp470Ez3GA0jFR7uDdeOwB74x7nrvT9Nh+GHYFp9ZIe7B7aXQSo7XwOEu1wXXhwQUS1WCUKomQlzsOvt/Tradcq+Rx0I97WGciVnMgAuHFkqK+J98P4PU4qRKP9fce1aM1cVptEVkvsJwLn/j0EJdMbBAjxJ7x5qrW/jesdXXzGsbR3mkbADttGxPxIlmplZQmtU05KCTIdA9WvoVob8xApa1EUzNaJJeV1qZBMmLJAZUKVBctyimacHJY37n0jpXpsrdYmVwoUM9RLXEpd0Lo16VjKYqJWmMwmtXXUDW7tzGUUbX2dhHdIyp7541ci2nGHSGzrBcjipXxFLXOnVlSdUcoW83zm4mjBJlupXEoTFBVLCZ+VmBd1s+Uu3sGvi+3Ty7dWnapsm6XY9S7LgtIMcG0/upmQ0+SfL0frFeX7liRIU3bxxM5PQmAT//xoazn7f09CYLTH4sawWtXLqxJUZyTNOBJAyzXMpzOuQjEdXcbtdYvN8RdiOn6SzzMFFELIIwsFFEIIeZxxKLST6z3pvwzPE9QtSr2GWq9hPnsAy3wVijOIzBDpvgmlxP1TbzmLBMEE6Jh9El/1vIP7AHX47sHKqmwH7Q7oeEb7rY2Hk9WQHpIJDjLBOslsEHeGW9aK1BYbjXd27dGBcTdRwA5Wa4GVwgAQL1VpgVZkNkTmAdpd1JxSC8jDjNKC19pOJUkCZGpdksxccUKKzjUt82QYXGv3C/Qym1420q8PWmDWxuU/6xCAtf2OCynOZfX6HREsfhxu3u8RmT4tKOvBbb/Db+KHYBS9RjErsj48i6O17EUL2GxUBS27IFJ0woQz2VrpnT+kze+N6SWHArt1hkmbf8hqPnogPIqGsS57Zk2MtftBVCRMWPkMeYYAFF6eYbuxVtaRUxTFE9XnVYdGTfFe3H/PaneD9YySPvaQC6J3liTLtjFjUvWUoLEExr1N6mKCQ6pt/ynKxjxjJiUg5Q1UM0QXLyvq+2jtowWtVKmvV21rrJu+WotokYScpnaN1u2219emGxPLavskk2VIILdDWilW8vOzMZYanxVo2WTj52KIGUlKK3eqdUG0Zo6ZibUuaS3A7foc9evXxUlRGd63dfi8ESyLApPNd07hydJLAdVLeaqqC8C+ns38xk8j3stqRuT97FygsywUgVjaTxu+lVNdPp5QVLBoAepV1GXB2ekRVI6BdAlpc4wuiFNIIYQ8MlBAIYSQxyF7soIeembYxoN21QKtpyjzFWy3D+L09HdRywmAMyAVSCotRTwMY62+3Utl1FrxmtcD7I/1c7qW7FNjMDhoBBvelhGwi/1y1XElgqj2l7kFwEnMXyDJBJGNBRgR4Ev1O6cmM6wCsFEo2J81P6JaV5B6at4VEEA2GL0uejePKA2xb+FZUBFmlAWlFmQZg1PzNhE/75yOLOCEZfv0AAfeFjjEk55xEaUYlh3kWRZDMLuK3/0VVt7jwkXMccTWgvba/aycncBbgMNtlCOQ0y68hMFni/HUA8sSM70SaVY+LVHyg8jWsWBQYF4ZIuHzM5YY9fNI7ssBSf06rbJErr+GTXsaT3LncZR7adrb1SizqETWU2lCmKIOJrdrESVJQg/7+zwrFLWYqJdS+FD0sx3PS7xkSHdFy9V7S6DeDrmV66gH2ZAm4ijsVFMrfYq2yNH1Sl0TskyJUoqJO+6ZZIah0T7ZSls0CbLC17SgVvFMGpgIIOZ1M4ooEmKKz5a6iGKthxeUurSsl17+FmVjsZbi1EPgi996u3EVpLRpXcu02jEEEwSC6p2IrE2x+hz26zMuBCtNUiTMlmGSJpTqXi/w+Uww4UtibXsWYNU+t01AGcVGF5lqafNqwq2b6EKakCICJG+pvvu+tqwhADlZpo2NDNENq81VE0THDlIpTtyvs5cb2Uwh5Yzbjo+wLQVSCopeRZ3PcFoBTZch6TZs8hOQkiI6qI0ZS8POByiyEEIePo+ogPJv/s2/wXve8x685z3vwXvf+168973vxSc/+UkAwCtf+Ur85E/+5MPa39ve9jbce++9eM973oOPf/zjuPPOO/HCF74Qf/bP/ln8wT/4B29oH9euXcP/9D/9T/iZn/kZfOhDH8J2u8UznvEM/OE//IfxXd/1XfjSL/3Sh3uahBDyeYbuPC72x3Y9gZYzzKe/i7OzB3B29iDm+dNQ3UL0zP78bR4KfmNchkBT/e79KBJg/GP6HGFkb2zr52TvkcDMbfsf6dH9w/agaGUYsKyTJJuWsRFBwtrI9jxGkQAeBO8GFpaSX8rid58Tcu5msxaMRYmJrF4bd6NrXbAUK2WwcoOMnD27BN0k1jpurMsL2r58DGiiRy99kpWJqZl4dn+PQ+aMdfgq7qkw3MmWaZiPnqa/vn498O6ZPdehDaGvE3VD2J6RVAYRJ+Yn7e0nuWGuQlBduLAYN4QHXR9LFEhlvZM2nFFU2F3DMSeRpeLK2Eq11MFGFGiZNmqvMzNi39fgtTMMYOe48Dv58foyPF6/Tt2kuBa0969KRk0hfFhGgGLxwLdnUtmaGbIuogtNdFEarvXRdAyR5B1aAGTFJJMHyYOHCiKLYWltpCsWoCqkdA8cwASV5JkcCeIVWskuV/JshiqeTQIXdteigWU7JExTdmPW3pmpqqDWgu22uLBqRtCWVZJ21qOuHpuwGJ87LuIpoK2tdry4uii6YDufwQTQCTlbOWHOR8g5AbqgLOajMtcZNVnpT6nb3uI4JeQ2lmRlUup+Jhg6FSHayfsQfL0pLB8vMnsyJqQELEsXP0opJpJtZr8O2UVHoIuI3iFKxX11XMgUtfVVSxdR9v5bEz43Qz80FVTMqKXg5EQhOWOTBJukqCjYlocwbz+Fqhtc0iNMm0s4Or4MSHymXg9fu4QQ8jB4RAWUpz3taTdlP6qKP/fn/hzuvffe1e8/+tGP4s1vfjPe/OY348/+2T+Ln/iJn7huyt6HP/xh/OE//IfxwQ9+cPX7D3zgA/jABz6Av/pX/yr+9t/+2/hDf+gP3ZRxE0LIrcJFseluANApHqDO0HKCupygzFdQlmuoywlQZ1gXkMFMUqQFZrbLfl+7H2YMsNbiiSfbH8CT/8e/18eHEcAh/B3ciDA63sS2Gq/YN1Y1QWc3fb7PSbtbOpxHdKExzEdklWkQGSsHMiwiC6WbLA4bqrUitTvPxe+MFy8xiCwFgbY2sFF+E+dn59CGqgWlzmhlGclOREQHw9wQlQATUeDdNXYnPIwxe/bHKKCklFvQpC3LaF/6ioAZwI5fw7BVZDIgygJ21udYtqOlXQvxbkI9FIs16R1K2joZzy+yN2xcsY5Ek70PhnarveQpxltboBp77yfSj2R3421etb04utzYGG2l+3FWxr3D+kdvGYy9o/RztQwV8wJpnYddHEkyiHZh3uoeRbaWin+PEjIXU6M7Ugt6PSOjAirF2/u6AWhygTIlC47FzsOypFLTk7QFzz5sX5vwrKmqFakJRLWLXu683IQyKYhyGbRSt+pZdBJKis2H+ljQ11drla3Sy2n6BLesL2lZU5G91d+36p2RulgiyElQxTQw8TkI3xW095KXUSX/XHCxJqWMmmCZLLF2NcxyXUxU9QwgNSEpe5lTLJ1mPBz7iOHGOjX/lPBOMfEno+rk3ZjivRGrKz4TY12jXbtYGeN/V1p3tfaCeFraNW2lhOF7FIK8G/KWAmTJ3q0pzkdQl2uo+hDy9AQAFdOUkfKR73sUu8YxrUYPQgi5UT5nJTzPeMYz8LznPQ//+B//44f92u///u9v4snzn/98fN/3fR+e/exn48Mf/jDe8IY34H3vex/uvfde3HnnnXjd6153cB9XrlzBN33TNzXx5Du/8zvxJ/7En8Dly5dx33334Yd+6IfwwAMP4I/9sT+Gd7/73fi3/+1/+zM/WUIIuQW5MRElRIf4w3IGyjXU+QrOTj6OZb6Ks7NPQ3WG6IyjCX5X+Ahxh1xL9+foFiT9DnVkLkhkMEgFZGm/t63HbJJhfC1ocZdI7+4R/2uB62AGqSWhVoU3xLQuFpo9gIxMEEDL4n/PWzmEYDSTjJa08ce+IDJGLODZN4/tooIiTQlH0/EwF3F3dALUjXVXd0sVpS44O7mKlgGEue3PAl17ndbIMYhgNg6j/lqbj1IKlmWL5HqP1MmzCIBlOUXVipzMAyan6hkJGdbJaDw/O04pZ5iXk2GOYn4EOW8Q3ThWAcqgjKyFnv5aAB5AdpK3AOnmrDYPFQvqOC9uUGuZOF4m1aI6e23VirnM6GtvfGdEJpELVdg27wngrHlaJLkEkQmCI4Qvihl0WovbbkRqAaOdjvh21uUnt/Ow94KqYimLrVPJSHIEy5JaB3i961CCmaB6yVEryRizVBKADSLrQFWAZMa3khPydHmY9xDlQhRSlCgvKSeouoXqFpuNjduymXp2hdQKlAXw8U/TF2DKxzja3IGlCKrCusgIWrtgqLW/FQ2hRFoSV41FItWzpyqqJIjMmHK24g/pa1O8HE89q0R9hrvMFEa1dl5IFckzbUrt6yPJhJQTpqmiFsU8VyvvS9nK41ZztSsuxnttRom24jkh54TN8RG0CLQA1ka7ougM0QWCihzaTjFfE9EKlY2JMJiwmSb/q70XZG2SveNDYF2W2T/rBKqXkJOVJk5u2iuLtvbsxcuH5tnEm1oqLl2yzJWjo8nmOAlyLlZqVIr51ohgylMThlQTtAqWUjyry2dEzRjXfnCxp4mk9t+DlE20q8U6LpVS7X0l2c/SSo1SfKrXBCnZ3iPumZKx4Ozs49jWq6jLjM3RE5DxRZiOn4Bpcxsgx3vXp38mXZShQggh+zyiAsoP/MAP4AUveAFe8IIX4GlPexp+4zd+A8985jMf1j4+9KEP4Q1veAMA4Ku+6qvwrne9C5cvXwYAvOAFL8C3fMu34CUveQl++Zd/Ga9//evxHd/xHXj2s5+9t58f+ZEfwQc+8AEAwBve8AZ87/d+b3vuxS9+Me655x58/dd/Pa5du4bXvva1+IVf+IXP9LQJIeSxw0FVRQEsUF3szt58FWX7IOb5IZTlBLWcmLggZazYQQ9S+53JLoXEH649S6QLDIOQ0v6w3c0a6HtcxSwadxdv9A6i+N1t35VGNwrxoA4eZFmLUAxlLvGt+Uio3UG3Mpex+4PvR6r7VRSfhdz31DxG0uCr0QM9wNqnbjYbe52XIvWA3H/fsiHWeQh+csP8KlJSTJuhjEPdb8GzAZKglS+1a2NKy+pOcdu/jNk740U5JCYdYnfMo7gyljn0Y+8mmYoH22MGUMtsCE8R6XfL7QK6f8gBE03bp52DZQagzUets/1eFCrZ7ta7b0grofJSnWgXG9kRbY3G/lrmQqyRKM8Zshl2116bfhOI1M021f15utgCO7+VYFlQqs9TVcsGUeljieynmEf3LqnJfE3EMxnsKu2UETUz0Ipaty5UZlSZ7XuqTbCUHgp74k0IJ1FSNmSN+bVNLpZ2Y1W/hlKgnpMig+lxHMPEs+6X0g1bPWOjLsjJM2Hauh8/ThIgaga1ITqFee3K9yi1zxC0QH9op+zrqRQrKYo1MrZ8FrHuPDElQwGLPz++pw6JjtJ8RtolREE3q472xS44p+Smu4AgY55n1DJbQkdS90qy1yyltGscmSohZIb3Ufdjcv8aF7LDnyU+N+38eqlh1QKtBbX07MV4TyrCkDwyBe1UtZrwZCaz2c5Ft8iaoOUh6KxYTs1MNqlCNm72LFEKt/u5c6P/7SCEEOMRFVB+8Ad/8LPex4/+6I9iWaze9o1vfGMTT4LbbrsNb3zjG/HiF78Yy7Lgx37sx/DGN75xtc08z/jxH/9xAMDznvc8/IW/8Bf2jvPiF78Yr3rVq/C//C//C+677z78yq/8Cr7yK7/ysx4/IYTcsuhQ2DL8PW5mimdA3aJuH8S8vYL57EHMy0Oo5RRar1lg4QGj/cnrd/K1QtufysCq9aoA++2Ae4C/G0SvgvZDIkmUhqxEoIOKkP+dHH+BA9rSwvt4hvAH2sY7jkn6flpXoeyeI6PXhgWAFVFOYuKHhkASd/ndhwXiHg4SR4ugRHB8fNzmSaMNLwCtg5GpAK21sI6p86NPiSJlYEoZEQ9Z0GJp/5KyG4m2iBo9mA/z0N2gTvzc9zNQ1j/vXpddbxkf8XC9wwQy9rE2g+wlXtbgI/l8+RglWUDtJqLNw6Rlmljw3X1T1oFsiEASpVUCz8ZYCyjW4XdBTlby0Uo70MUT+/1wmiHojN2kdBiLDALKzvoZp1Tg54gQmkzEU19f2ubYrx9MPLD1ZoKGlX6tr0E7hL/fkiuk6l+tm83ooeGvtxKxrXmTIKNgBnTCIsU6GKUQtqJ0xcudtCLtfA5Iu7ZAZJuJShMemjig9kqb1t7NCt6FB74NYOU4pUR2kDVl1wQTFqfDfw5bdpm9N5JEpsvuGo95dikzxuhlOXaeApmtjXu/kv19bnpN+PKsd9/LacbjxidFrHE3d02WYWLj8IwQHccVGR6CzebIr/EErcAym6jVjZlN21pKmNRKywSr1Vs0p9pOX0JHQheHYj8a5WN+DlkmpKxY5oJSYszREjzObWmfCZImF7qKZ6oUezulCZvNBglbu/rLQ6haMJ8e2TtYFVOaoPnIha/4HBjFKEIIeXjc0l14VBU/93M/BwB47nOfi/8/e//Sa9mWnAXDT8SYc+3Mc6rK9gfo+wS2AJl7GyNLRjJdSkgWokPTEkK0DG5g8w8QSDQQEg0sGdkNGgiB+AdgsIQRliy5Ywxl0bCNP3C56lwyc++15hgRbyMuI+bcK/Mcvz7lc6o8I7Vzr73WvIz7mvGMJ574wR/8wbvH/eAP/iD+7J/9s/jVX/1V/Pt//+/xz/7ZP9vtXP3H//gf8cEHHwAw8Vr7InpuP/qjP4p/8S/+BQDg3/27f3cCKKeddtp3lN19VDziDdIBeUS/foDRH3G9/g5kPELkESKvAWxgFkujGTR8ADsdjCoOmBlz3AnU50KWz0s5nYL7x8Rnuvsz67fz7cy5nI5PWDAQeinJvYfq8trTHhvw0ZwFEqE0do8pVqvOLFGoh22Ylkxc00N2UpTCQ5eoirsSOPUoYGFSDgIIzIlB/EXd28DDE3YaLmEG+DT23V6ZO95LI880qqX/Ysc/yhx9E07QCm7Ls36wlqz9rPN3ikf6sTrKEaUvdN7LHKeZSnaWYQCerjkglQRRYOftWT1w4GTYve4wUEwktEHEw1KwuADpgIwAaA4ziWyH21JOCyCLO66WbnYWO0CzCMMKlkiEDe21NEJXhWg4O6oIMjuUMX+bzgklc2bWe4gJKg/pULh4MgMNA2uL64W6iF+bZtgRoUH14lgUwULOnMWDMgahIKxQJYwAN0nAY8PCi5fMWRk6AHVBY7mZuKwGiBRNrNmPTIQFbM6ziLOBBloTAA2a6ccdcCpYpbpgcLA8BBOIEZXneN4chdZOlZW1Uzqu82/ONQtxeUCH6eaomIhtJytpgJFWngWBFrFE2uYZNmj9T2gNZSDFa4KoiT2L2losHpoE10+a4xwetiMY4woZwMv3voR1ueDFixdY2oqHh/ew9Q2Aegid6QuJ3OyWvLosSZTL2D2zLQzEJHbdGBVgzPYSDS2ZBtOY9nXRBWcz7XGZrw7D2DqgYuLAJbUyqQCyYUXDwgKVR0AHhiqexhvcbh/iBW5Y1vfQXnwZSOZeZQyedtppp/3u7AsNoPyv//W/8Ju/+ZsAgB/+4R9+57E//MM/jF/91V/Fb/zGbzwLFfrP//k/7457m/3Fv/gX8f777+P169f4+Z//+d9j6U877bTTvjhWwYW75s6ajg4ZV/TtDUa3H9UrVG9ITRD2XCXFqVAHSiic5HrhoGXvYuBrYYqDe/gs/y/U9N0Ru/ePgEsFRMKpDgZDUMR7ub87qCUcoIajzNtPp5OC7ZBeX0mb7KyHhHp8e5Z29yhhFA5A0a795o53rb8BLYU9kbFUNO99NJ3ABHmGkNjxbmxOtbqGR4h2krdVBU6i/hH68OwmVMbGvQGX4wYwgdNsoAOpwdtZFcCyq3/uTFtjpGObeiEU4Mu8ZxKQLG7B3z+UkeDhHN6/aGCIOaiR1aeEfJjvS7MdNM71+bAjK/gf5KFY2IsNa7ZxaSNv/8xiollrZHiGTiaJpmNY0jrDhEoFRj0ydkQ3wdFm2j7qYMkELgO4gANEkQFn2TGFah/PsIz5rpYyZHhOrAWhmaQbQkh1P8f8VelLA3YmuKfgwmzwcZppcksRfZwQE0iCSVOFie8b5X/xOsYtrC1LG+S8VQv5aWrizClB63NNSnhaHUvK3jcIZk4px90yGkdK/X/4dRxCAxzEmNE3kbVKMVQ9VXPD0gBujBXsqefFwdQI3bMaGGvI5mSKbOuss4lNO4gSfR8AqQISYVsEiJCzU+ZaZSE/BsyYAG9UM8RnY37onHtQQAcIHUwNgs3Asf4aHQrSjuX2nq2rY7EonljPKYu+7+/TTjvttE+wLzSA8iu/8iv5+s/9uT/3zmPr57/yK7+yA1A+7XWWZcH3f//345d/+Zd353wa+43f+I13fv5bv/Vbv6vrnXbaaaf9/poCumFsr3F7/Aaert/AGG+g+iEaDywtAks824ZT78UzZHyy7MXRmT7+LfvPKBxnLZ+Fk1TfD4DmHnhSARRzfue9bAddcSsO3mIpWPNYzstROr7GPrGH/DguHP1wnu0eRJjgg8EUXkTCM/FC8nKlZkm86VlRMKn4eUoCNYR9O3Q8N9t1H0MyJevSHnLXt3lKWtENoh0ipoGjyFwwbnPnlmjdifBGqIju+ihCpO4BZPXH638EUdxBbMkuuM8gpYqUANMxDqAltFwwgZDpCc97RZpcJnUhT2MIMDesi7GoAigwTQwPfWIYOwOERuzOakM4e2YesuU1FA0gxYGtBCZK2NuuHaO80f5xvwZxPRvK+zgDAATR4alsJ0tijA5VwuUyhWerWK2Jps47sjJUTUPCBFePYN2wsJBLwxiCMTRBQmIFqBegzOYewRgomzxl39OOiRAhI+zAAAEeZjbkycdmXtRnWszHyr6yNmyNQbxaPdTCU5gjLfJbLPtOSv94+ZJNVdgzEGPLrBf0bmUZYtdv3DybTaxdeyAystRIrHs00we/DeQhD3lhKIS9DwVgCIaHwMT9IqzI2EdA7zfIUOiw9MxMzTWXFK0pRBVDBrjBtWOGzQm0OVaUIMOuza3oyHg2nyHDwwTr6IuxaeOsucCtiVxXXZrQFSIoRs4RJhPlJf8MegOrgjHQMCBo2OQNhrzG6BdLmT2+BOGB9fJdaMv7qKnj6zfGaaeddtqnsS80gPLrv/7r+fp7v/d733ns933f9909r/79/vvv47u/+7s/8Tq//Mu/jN/+7d/G9Xr1+PNPtnr/00477bQvnB2xi7AaYtOfIP0RfXsNyBNYrwB1CyEI8cEAGDz9Zma4UAGksC8SeSDsn1DDSTYRx/SqfEe3HDhf+W68qmsiEHIHW1VsJx0EcHMHRDz1qEAFnkni4Hh7sRMAotiZZBA8NEc9yw6xMTT8oV6CfZJb07TzxXdVzvems4Sg7vv7rdl2qsausPYUcWR0BzwWywBCDApHTGJnmMxZT7AnQiwCiDmCShHagqxf6iakAz8d9cga8zwz0pEVZLoleyiLsB9wwGSyzM9NgHSkNsYcQw4mdGPNQLnojZj+CUdIUrR3sGyEcgDtMtkQ0LiK80qeHOBSavwoDJxwhzSroAKLoDJdFMKYuhe6eT26MwNMZHZHEgJAQmBw0eNRMLfUkSB27hEHWyWyq1Rh5tnK7GPM2GArQs9nQI0ltcTNLTSMCOjjZu8FOJCpahcAq2XhiXAMGDtqybCt2lcNBAE7g6o1AGrhUOzMpgiXmYClhYio9AR35hhrO/AEIO8PgQihu/jogInwMomHFFpqZqVgc0x9GfY2UhdxDU0TwBhYtsZEammH8qQAGM6sANnf6pl7cq0ZHRGGJWKdvSwLVp/rIraA2VLnrAsHNQMkU6hnorF7RJYgY2QEWyvYGTMED5jQ4wSg4GBWz7HXWvPQP/X6CnrvCEHkZVmMdWTICwiKxgyOdOSYTCAiG6PWdRKnYKYaV4xRw7wc2nIsSkYHU4g+ExoB1GoIJIDC6kGpX2hsKdRJZDTTNcO1uXSApeN2/abpF7UFcB2d9bL6fIWDmlHAE0Y57bTTPtm+0ADKxx9/nK+/9KUvvfPY999/P1+/evXq7nU+6Rr3rvNpAZTTTjvttG8L08MfCtutxgaMR+h4g7G9BvQJhBuYbZdYRQC95K4yfPecYqdc7UE5s+vsQBQc3nPwQ7b5dw23OBQ3nGUNejfZjqTt+gpk2J1Dw0NkZAy+7TLPndqjM6/ijmubTBIDUGq4Rux4RshOAA1ACpUWz7jiQFMyoYZBMBovMwyEAcB27UUH+ri5eDphoQbmCxqLn+OhN1Bz7NPx5WQcMBpCrNFuXes8wZEIGdkLts7wkhAMFbUsQtMxcjFQClZDMHXCqfk0VgAUp+Vbv3XshV2tTyw1a4TUxI59AAGtYiNI9lKCPoFcuGOGAFCCshG/Te8DYBAXh9V6ZwcOBlgyAZQ1wx8sRe2AOuAS/iwjHE9ncWWokFl0gbhQZmaG8SxI9rkDd6ExUp1Tgu/YA/PxzhkP2kGtPPKJ1XaMG6oXrjk2VgAjU97WDDhLW7xdJTlHAYwyhoX4ESE0flhh2VaKU64kPnaGZ2o5so9sbWqRipgCavO+VANehgzLGuMACnOz22a5PK00AmBBjgelFgmAHExRDA8jUm8T1UhF7OF3pNkvkvM7BHSt36FAh+CyXrCsD1hXa/fr7ea9Rw4WGvgiGWpjjC8ZgtYszXSAaNERweYI5980bfbABogShDPB1Y7WDGxcLyswYkyYoO7QzdfvhnVpphPj2clIFUsz0E4yc9gBRCFNwCpnIQW45AK0Xo8sPwAN1VkiA23Y1rYxfCR4KKCBsuXLQaWsuT5q1d/3jGcMApPpTm1XwhgGoDCvIG5Y1vcTmEOynlDqsLd3hXmddtppf/DsCw2gPD095evL5fLOYyvQ8fj4ePc6n3SNT7rOu+zIejnab/3Wb+Ev/aW/9Kmvd9ppp532LTcVQDsgbwB5Qr99E71/BNVXIHoC0YbUPdnpF4TTN8MR9iEHQU8/MiDMocldf+rzmu98QA0HX9AHMFNn2oNvWxK6yPe5GcvCGAouQJrP9xHKobaDmnomKxiXFIdVcY0PquEzij3HotaV0skEFCojwYu3PZjbc3+k65w7rNwom2U6j84EcIeTWMGZ9qK52GmIiXrZaIZoBHCSYSoeHkTEGKPPfs62DUc/HIhwP8mbc/gGfQ2/qqETs/8mMFOPccfRNRaIg5kzx43R9s0Zt1SmljbYBDhN+FQyJCLubKAOU4zVOrbm7j2CtZMMIn8vdFcya1I4zzU0SZOJYG0dWjrmxJlAbOiQeN9hgRZR4H07FQcuxq87kRm+4zvtCktdvA92eg4Oxt/ErYRh+XERgTJ6DIv8zMDGjj7E21893ayDCVxAoHTg1SE5LlPZXpMCNIxtMutkoqeqA8y1JpTFNLbZsV4OtKgm8MAiIB5opFBtHhLi4wvBbump6WNsIAJTM7FUxQ5EnODrSHCI1J38EpJHZKnB65wP6EbGFZ2doeFAHhMb8APZ1cuwG4J0Axz66BDtoGFjgLmEhUW94UsnObiwC0Oysq3r6owTdkabYrt12NxY/MaOAmWYT3fG1fC2634/r4cL4DbmOWaOmlelv9a1uXBtsA0J6xoZdby11EFYB7i4xXiwbEmZChwOwEDQh81PAmEBQdANmorvJmIQOhgrGsTAtifCDYD2K0iBtnwJbf0egEwL6gRJTjvttE9rX2gA5cWLF/n6dru989jr9Zqvj6mO4zqfdI1Pus677JNCjE477bTTvjgWTr0AskH7E1QeTfNEngDcQB66Y45bAUB0nj8FY++BAxU0UczMI+FkBohSzn3nA2yAN7GzXB37CaAEhTw0S1Q9bAZ7p9WTsc7zk0oemgicdHu/skEnEeJAhYFT6rADUDIjEaC79jjULHe6vRmS+RKvKdtG3emMMIiZdaZhhiBNpoid5w5KvEuc1wvGEMUOMkX7OICitY3iuuFIBehTKfCljglUxG8/P0QhE3BQxyOiLWefJpNGzeGb4q0T4JnYVG3bkeyAHXh2b6xqIFRRxlLmImRbxWHjWlaWoi8S4KCK939onBSnd6fjQod2qrvtMda9vRLUIZ8H9TIxP55Vzj+f2VIoB5oWp3H2bZ4XZYcmO0J9XMVvO7P07b1xTgCV+R6gRNRt77jS7jflelGyvVCwczwNt5dVKUDMAOaCBWTAQMzCyBBF7LoqObdmOXJOFsBm6pz4PJkT1kAiqvPf5qmxqobPJS+nt6UVJubYvs8mWOKAB5NlsQmWEyy6iJ3WVAHOsMg4aesZ5TXp2fFzHVefN5ohaWo4e4pWk7NwkNhLslDKWhftwWyw2hj7cs01eQJQyV4k8jFaYLUKoJRy2epm67SohapprM/RPbSAdAPGE3R7beo76/sAGG39iq8tyLY5TqETVjnttNOO9oUGUL785S/n62NYztFev36dr4+hOnGdT7rGJ13ntNNOO+07ymSD3l5ju30TY7zGtn0D0EcwP4GwuQOl/itEXWMXGe4sBsOhgiO6fy920VNvorBa0t6tQmvOUv51+F2PcwCFVqQWgDbbSb9zeWJjNNhu9ArCCkuZ23w3MxyWK0IfYbI3YhvfyjKxJauz7BgomL457esroiG1APUUyY3Y4ZCWuhyhQzGkw9IWuy4NGKALOFPixm60lDafTt10XqaDDx5AcWTMMZoCm1OPwENZSKGypUvqkEatoBsf3rNraDI2ot88LCiulR6TgWCTLWI6FlSAGg1KP6KMEQ7S/XoHwGJXXn9PCSkSvCtvS0eZgDnmXesjmT7aZ3uSpdiFDgiMZaVKUO5QXR2ks3ChvRAxQGgJjnnl3Jk1fQ3bZbc6pZbrbIr9y914n44hBWijANHquEt1G0OPRDwkRQDd/P4mcspoICyHNku4B0AVeHVgSctakaKmmuyK7Ar/bf5/XVOQ11mWBmJNsdpgkxCpaaqo/Qi6AyrDtD8UkGbaIisAclFaKCyNMM3MSFqce9NwMSCIyYNEvH2NyWb1zdAusnNUN4wR40mybAEcmRCztV9bTLdHFKYXo8AYxjaiBFBkAikACItrxQQzZj8WDERp3i6KPnoCtNlvDgIS2To3MvzH6pzZta2RbK5ygClIAotGyuIyLgPEEZ5zsLVW5voEyDS/X+KzgRSTPYxNTQFzAGAMCDjBR4aOBoGlLG+rMxDlDeQ6ILePIQI8vOy4XL4H4AWeVzntBFFOO+20d9kXGkCprI5PynJTQ2iOgq7f+73fi//6X/8rXr9+jQ8++OCdQrJxnT/yR/7IqX9y2mmnfZvZnd3ftOppKUAdolf07RVu2yuM/hqqxj4xXQd3qOPhWGTu+lOloB+Ak12YQziyigxxoDGdzgQfomjlMZXi4bi+Ry46SLkzPB+i3SUObQx2J4cbZFCCA1oZM8HwgIuHOvskwhKIpq6I6Y1Yms3Wjhl03MNQ7PUcKEIAonThtESbebV1+H2GH+l09tD4iC3uIlQKdoeaHOhAsFBCZwXlXhGeUFgbduPceZ398XzsBBum7lQzuTyni92aD+pAhLI7deE48rNrAhF6E1AGTWc2jycHUMiEgmn2b+yCK8ZOFHMHFiF8OT70g90ry5chaW+ZN0QGTsW2O03WkTELCPqWc3UWAqYlYm2HvNx0ICmqnCyrcJgn4EgaDn4B5nbtG+McSDFdr+sUPS6FipI+6/eRY0RL22r+BHsgwCNPM00M0prOfJ4npKDKbNDZhomXoQgTE1D1aaLCNr8jDCfa38NKQD6fQpB4IMJxRAAVHzsAlAOsY69nzJ0BZoZ4+5leiQEb7Boe4NpeqbpR6jIKDud94ho/It1Ch2Ci2+oCt8uyZLgNiYmyRj2nTkphp6gAmNpOxgKZbdV7BzOjtQWN2dIkO3DDdBwz2K3HIlruJUjNHYUzY5x9lSASTTzExwcBCSat65JLi+gwPRqa4WzkzCTDc23NIm4+Isb8HkLoEk2wxlIfG1uIM1QwQnkUkAHCZmODBEoD/fEDMK3o14/QHkz3BeRAe0zOnB4nfHLaaaft7QsNoPyFv/AX8vV//+///Z3H1s///J//88+u82//7b/N437wB3/w7jV67/i1X/u1u9c47bTTTvtiWzz8ToBg/4gPdzRid3uDyBN6f41tew0Zr8F8BXBDaGzEpcKhOwrE6uFvyh344symgzidQN1dA+nYaZY07lVKT+6mpEMBZGaPOIqGp5bFBFLIspII+VZq0PLdAeYESwp4Up3N2NGM2hedkvCKE4yAsR6mwO2Yx6P5LuceeLLd21HaLZyRyL4xnXvV0EoZgBQGiovrcjRVCYNJ5/PoDGg5Zgc+IJ2wZ6mBd9ciVPZROvLuQJlDHWBIZQ/NO9bX5nv7zrgW544aSAlDZp8my4g9vCDCgWpa2XTYrTyTTWAgTStCuzNEKQY87UpnWERxrBDtg/le6KWUcRNirxFWZniV5qif4NWhRbweEYpSvMcyD++DUnNe5sXMmSUGawHvHDybdaxjYWr+RHjMbNs598k/s+vbGDB2xsQNarhOXquU0dqmhpRJKVfUN7LPFBYDewpaXly8dwrB6jDgUlAAAFi2LvElSnMMZ2kRuj/EDSQKJvb1JUAEmA5M6p7EeezhHwGi2Fo0AYZw9i2jUQUdyecwmNDaAiJBa8PYIKrOkItxWX/NcT71p2YfqsIz4MAEZNs+Gfl+yMwr1tFoGc68rmTzgnSGAmWbxUhzYDsycWmCG4RlaclU6aNDADSauicU4IyPFUtn3XaA0QyPqmBNjKMcUTu8DYCtlVCfb6aLM8YKbg/o14/B7QXADeYSNQMBj/MrpxTtfp122ml/MO0LDaD8yT/5J/FH/+gfxf/+3/8bP/dzP/fOY//Tf/pPAIA/9sf+GP7En/gTu8/+8l/+y/n6537u594KoPziL/5ihvD80A/90O+h5Keddtppn4fFQ7U/aA5/Ym2TDaDjCh1XPD39/zG2j3F7+qbpnmg3QUlIuAXpdGZsO08ne1rofOzp+dNRc0FNGGNChod9KDBTptbn0XJu5qW0HUJjNVg9x+hOZR8eU09J01ffzWRiCM0H7z5uJoZJG1pju2ZbnZXRAI+fR2oFTEe00cV2nZsm0KJZ/wHR7g//GyLkYvSb7X4PxbK8wGV9zzLIQJGaFAS0pQJR7ri6AyvSC23/agCNpzpWFbR2QaMVS2MoA8yTyeIXynaczAa/cQEKZlrVfW9UQGCCL/Y3E4OWS3mvOh3PxVvhdVe0dJ6qxsQY/Q4BxkCVy8W0zHYOaYYnhe5IvGefL84UUjFGQgBawWjhyIrEkU2q5Zic43gKwo5xAwjgNsUqbRc9ggeaj5lIoyvWH7tKUf4/31VgF9Kk7lg6cCFWcfMXE27Cwg3EDMVi7SfDG0iRDC4FGq0uGmo7+qQ2jndgis50xaqewhnNsxExuhAiu5HJdtqa0hqZ+K+PXQKcrUU292FZXtTH65DQVRrONmBweygATogZK4Z0T8Fr9Y0sVJYV64LIABbZjwz48eTq4qFOAoAs7XdbLIfTur4A8wJycelMg04EXthBggYWgmhHU2daKSCe5QVZX7a8UB76Q54B6MXlMoFQHyvaFrRuYTkyDOQQjNQsDrbIey8vVqcCOmkV8dVg1YiDNwXXK2NKhkCHYGzD0hMzY2kGQIM9DbNOoAkB2Pi1JMebM+woxhXZ79RREUsvPTaoOCswAW/LrDPDxlwfRdVYjWxrYTBYmL3fFdgebyaAzC2BOXHWjo0H2NwTX3c8tE0TeDZ2EkGctSRg3aA6QHgNuRI+/m3gxZc+wvryu/Diy/8/0PICoJeINVR3a9qJmpx22mlmb9vC+EIYEeFHfuRHABhz5Bd+4RfuHvcLv/ALyUD5kR/5kbJrZvZX/spfwXd913cBAH72Z3+27Pjs7Wd+5mfy9V//63/991r800477bRvvaXvvd+lrLtz88AB6A0iTxjbR+j9Y4i8AdTCdpI5sXO0D5bAxrP9yvlTdqqpADp1N/1I48/Lx4Z+6DCkaKPfSRVDfJfSmQi53Y1wyKXco9y/lNn3Tx0MKVoUd6pd2SwhgGi7zXOXPsRdRS2DhogBHUbZNwecDm12PzQi2Bzz0LmL76EJ3k+2Kx6MntIGGcJgWTTy7wJ+3dvZrX0R/VBp+uZjBfOGAMy2i/TM82eG28zr1R1/c3YKX6GMIXn2YxlPapmmUsW0I1AxmUQTeAk9jA3Df0Q2A8CCefUsPG2Ordhhr/eI+4QezWyTBUwrmFZQ/kyRYo0U2Mf5E+M+d+f3dZlj0nbKOdub3Rmdf6egcmSayvKFgzlbLoAI0UgxPGVVJ5sorjHZQOx9Er9nq8y1IMVP78z5ObYOoFKU5xC+Yi0f9azjjrBjkVBzoNKzTvGC1kwzJLQ5ot7V4nxuSxE8tTVpqGAMy5QTZcpzIrtVrhOVW+frFU8WHdFxHoqHo3k4G8+6MUo94YwifvcjfM6qZDJJds6Erg/Mwh3To4DIPueO43R3LMo8P37/lJcxFfchQjHX5/VEu2vGzHkZoXvJQvNwTdPAaTkndlpGWRZxMEXA1MF6A8YbjNtH2B4/RL+9gmxvQFqzzx3ZkKeddtppX3AABQB+/Md/HMtiRJkf+7Efe5Za+PHxET/2Yz8GwOJHf/zHf/zZNS6XC/7u3/27AIBf+ZVfwT/5J//k2TH/5b/8F/z0T/80AOCHf/iH8QM/8AOfZTVOO+200771dnzOaw1Ymj9HDgBXiL6CyIe4XX8bffsdAB+D6BEEC9+JtJ9HR2cPTMfD7nzI3Du+xwftYKcA9kBrO4NDFEM0RQq5kTFDGIdrT1bB7XbD9XoFEaG1hnVdTU/AcqUiGQNVeNKNmcHNHClLl7sCugC62k8KenI6KHYOG+uA50P7/cYX9HFF7zd3zh08wbjrNAKAijEv7Gdg9IExBGOI6wyQMWWK7gexpbldltidnWwWhUDQIdjsJwAdvVeGA1Jz97NZt7xJuhTTqd6Lr75rp5YOx3vIVHWGngElAWQ8Hw8JoCXSE86lsUnUQwEqSKPasfUn3LZH3G5vcNvsZ+tPkBCD3QGFM7zqWI8ElJ7VqTlTYwXhgkiPzc4GMc2de49gkdln1i1BED22qwM2SmAHUsKRZA6gYII19hPAiYEnkTa39w2937D1DWNszvDycDTve2vXZdfX3goFKK3FEwQjKDLSxPWI4HNxn3539/qtGb7wlvEXc7eBqaHx4u1g7d3aBev6Aq0FkGXgyVDBEClAio2h5m2oapogYwi22xXX2xOenh7RtxtUejmnGdsHK1TIsGiZoVgqzlNqzdc5F1gV02i53a7YtqsxsVJVGpiZoLi8ftsc0wQaloXRXDC3Aoj5U8Z4KOuIh0UGWAioAxR2vq0/WTDUedhaAFS8q99bywm19hFjTwXYbcPevl9EN4jc5me+BjMxGsdPc52XuP+CKpKrgLGrZIAwwDTA2LDwDS/WDf3p63jz4W/i42/8Bh5f/V9APgb0CqDfH9ennXbaH3j7lobw/PzP/zy+9rWv5d9f//rX8/XXvva1HeMDAH70R3/02TX+zJ/5M/j7f//v4x/9o3+EX/zFX8QP/dAP4R/8g3+A7//+78ev/dqv4R//43+MX/qlXwIA/MRP/AT+9J/+03fL8hM/8RP41//6X+N//I//gZ/8yZ/E1772NfzNv/k38fLlS/yH//Af8A//4T9E7x0vX77EP/2n//T3XPfTTjvttG+paX1Rt24pf5kYKQDcoPIE7R9h3L6Bvr2C4hWAK4iudm4REI195/h/PnzHQ3s40/UhuuqdaHk4B1K7QAmQiNcHmEILgJBOFspuKSJMwndyd05tbQR31HT4070CkYo46gCjrwfrI6+ikUmkQWE7+KFVYS9KiNJu55ayngRN/UV1xxREFqbCCoDR+GLtkOWa2V1m6Ih6WwUgQu7AOZlfXEcAdk1zssMZjPMxQYBdn7GDEUWgdfILEE7t3mpbE3aZPj6VHUGYuJIJPVr7RyYQmrvdKK/j8zSZxYmrZZ/H+Asx2mgTAgoTCbCwKjskMs0AQgPKd8CSovPw9nruQ9smc6Mdtqpi/JlD91ajgCfIq+CDTwIoqoCVCyGzc5FqqAUIBhT6mDuWVRWkxan2zCXizu3U5QFq6tldQVN4c1/3OcuCmbVhXmyGikT4TW2fvd0D+vZ1JyIX2/XmQYhNW6iIECVDIa5lwrIWAgTPeqVi9Yw0vFAG6eoAQ4ChA0MGBtucWIP9E+OOyLID3XG+Yy3j1gAVmwWqfs0NJATVC9pyAemyG/9ztRUombA1H65r7aAA2aZihP28Hfitra4Qga97Nv6IaXfMvTNNj8jmbBWf/XTAg6IeOos4y21aMMjyaxmCBMqT7FjOczLzN0ynR2VAW2jKmBaK6BWigqED19vvQLmDV8b64rvBy3sOxsx1ZdrvZh087bTTvtOM9G3bYp+B/eiP/ih+9md/9lMf/7aiiAj+9t/+2/iX//JfvvXcv/W3/hZ+6qd+6p2I99e+9jV89atfxf/8n//z7udf+cpX8K/+1b/CX/trf+1Tl/nT2m/8xm9kdqBf//Vf32UYOu200077XVv6FHceVOOBjzz1K15DxyvI9nU8PX4dffsY19vXQdhAesN8iDVnKBy36YT6ZRNMKSBJcUopgIx4zxkEM0QE/lDraIPrNFhKzHiEN7YK0cisLIyLP6ATrtcrRMRj+u36gq2ALs40wQsQLSBcELu33Fo+bA8PC2i8zn10chCltmfqbPR0UBjTkZzUe2N5XG9XL3+EnJDviC9odAHRxcrVVu8+xcgdVtkBKESEdWGYdkeH6FOGCQUzhciZMxr1gB2H8tCvAGDsgcYXACESegQmngMBpSHKz3zrXW6E5n/zHfuat7qmFs4O/CjAG5DO+bKs+9J4P5oTXHbUHTSKMBPffnY2zgbFDWN03G5PuZve2EEorLgsX0JrD95GxlaxjDSCbbsCBA/RCGecJ6RwhxVgDtjztlY1ttKzkKHYgadw8hQYI1PXWo5Zy1DSaHUGxwovmAMo0cahRdKKI16AAIgBqx4WNobNoxBCtpTXwQwKgdSW2iVEzXb/HRSMeSSZAefJx+0Nt+0NxtiMPUXNBVODDbNk2SqLbTgzBl4G00AxVkhrL8DJGDNAapcBK8NDjHk1xsjwHcDmnYXXmfZL4wm6Mbdc60S6scrGDSIdW9+MzTAUl+WCxg2XywtPNb4gdH16fyrhg2U8+Lz12YA+ho/hgd5vzuRY0ZaXYL6A6RIjHjOz0Db1n3y8NA8Lsuw8Nq8Y7Lo2BbzkGV6UbeTsGxFBxfSYLX1yjNyhEyzJMCTA02rHfLQQp8iOFiDIsrQEV8bouSZNo1zjFcb4ud42Bwa9jdmEnw2kduAs2V4VmLbWNZ2ZmSKe4CmUuUF0AegCau/hNlYMXSDL+1gfvoyX7/8RvPjS/xfL5ctY1u+y699NcX6CKKed9kW3b5X//YUWkQ1jZvz0T/80/sbf+Bv4qZ/6Kfy3//bf8PWvfx1/+A//YfzAD/wA/s7f+Tv4q3/1r37idf7Un/pT+KVf+iX883/+z/Fv/s2/wde+9jXcbjd83/d9H7761a/i7/29v4c//sf/+O9DjU477bTTvkWWbBGFpSQewPgYY/sA18ffwps3/xdbf4VL8888ReR0/vwhNHeba0aUcK6r0xdOwkFElrA/txbQ73VZV8uQI5s7bx193MAMLEtDAgAUu3+Ey+UCVUXvN/RuO+bE0+FMcdZnjUJoZIKxQoBqN0FLDVDFKfIevy8iGOIhDCQAtnxcvqwXNF58p1aLj0RY2mrhCTxDgMzppHQ8jw/ejSM7D3afzd1YB2GwIDLHxLWj3BrZMSAWAlABlAASICa8WHbvp1Un/l12/PyTnIj6ebA+JrPCPnZ2SzBJXPRxnj/TMO/bxT/PaxzKF2wgEEzQlAG1HWgL7QAiFCy1PRjmBI9gUMT5MUaOBTiAbWUsWNk0x9Q87l1tdnDOqognKrOE90ATCJFKeL4br5yJpmW+OnOqLZHiWcHcXABWLFOK9NkuCI0RlLFVGS1Vc+LIciKoMGTYldCcOeL6JXsiznFcYvZhZElR/6FWD7CyFXqCNbMzDhIgQYImQzfIGDm2QlvEsshUQGXFhRsUgrZcIaNDeoeKhdvdbkBrK5amzixRyBjZzruqKEEpgAnC0hYMB8yut9sMFxILZVxahGS1sk57inmv5PPh5Otda1AiDJmaUPF7x0axhvPyRfpknr3hLDjofcZUBQgDnLHUzxb2FPdiJq8fF/B0dnIQkchDhjjbbmpnPV9vAmhMtaOcX7GcNCDLAlEwBNwY23jC69ePePHed+FyeQmsNwz9CB99eMUYiocXT3jvSw3ULi6WXUCaEzw57bQ/0PYtBVB+5md+5lmYzu/FvvrVr+KrX/3q7+ka77//Pn7yJ38SP/mTP/kZleq000477XO2ksoXwNzN9+wXfXuFfvsY2/YxRB5h8d0DEWeu7jxEOlLbpa4Pr3eufWQNVO2TBFqcdVKcStvBrJczSIDJ3bBwCIpI6BQ7RO5QMk3pw3xwTmc7IvqBSAUcGTeyydwp2xEf0xenSR2Pjzgc2CIMOX01mNCjOYdz1765wKdlyBG148IR3QEIR/ZClGXnZXC+TygsEi31SL/k+EY4lXF26Hdgd/Rzhw/P7C3wwf6YO2EvR/+n0vWfX7w4ee/CdAiH+1CGOc1xEf3DEDQwq++g70EqK+M9R82cemMvuKvmgBRw6LrEcQII2I/SeqCJvqIcM/ssWQOTUuLdqP55B6llHDGWy7EAXgad9y9SOSXEYjLNiAmsBBFyB3rxtpvglNa1JlL7EpCRHso5tjUfMQVEazLGEEK2ns3Kjqdn49ZYJ5RlZBfJ3TMONIFDY6DEGqTRyr6uYRfGopjaJJFhh4jBpH6fKoA8QR1mA+HQXCMk5laK5M7xpqF9pBOMs9VM0RDaVF6vBHhCA2T+O65bisKw4XnNHFdWAP9zP+5EBe2w1lTx3chkJiKpZWJrHqGlOFEM26hTnaBRNjjLR+Z6t7/rZCL6uspRDr9BZDaKimt8Nx2xl2h/FNFxu8VsC4mSeuggGcjPrCDqADaoMFQGZAi26ysQGh4evgvNM2tNiwxsdYU57bTT/iDZtwUD5bTTTjvttLeYbelhakOQOQ88AHmEjke8/vi30LdvovffBtMjLm1DOBrxiJppWHdgyAQlpgsXP6GXEH8HU6M6gla0EPK0tMFFPLHfEPolzEY5X9qKyKRjZbPd01kuq/PSuNzFqeEZqtAgoKSWr8uCZbmk0yFFIFd0AMqeQSQcZattS8DHwn/MCZtZOcLIQ2mOGgNTvNQciLYAqdngAIzsPYFZp3QsymuEw8nmrI3qbO7b/Z5FKEZoroSTk21YQZfnJULVlLn/+bSWgFWECoTGivMddqFndUzpDkQ51CCdzE+0BB4CHHDmCSwEQEummThe4alhd6BhOMTA2i6I8BtLKxuhSAA4GAw0zyOyOu3KElVkLMsFe8FjH5MSgqvHNhLPTCIQAToJmC64rIunEsZbQrPs+m2ZmaN6d+2XrKM58gqFkoVMEa0ZAqMCLxPM+QegskFcuLWtllZYxZlcMDdTnTWyLgsad9P5AAEwRhURgVs423ZWmDm3s4ixYpGHoxnTwdKZj7Fh6A1EitZKdifXNiGeSBu5RoylVTYBZ7hg89pWoJmQ8e7mXqNGC7iR9bo1eIIaogJSm+vrumAMoA9L3azin9sMhqq6OHWz31iNMaKaoqjGkpoMspiqFn7ooqu+TKuH1dRQpApez7XPw7L0+RrWGuEqit47tm1LAOXFy5dYlgUPzv4T1dRWEQ89zExFqgnAiAh674ZfyD5TEvwaEerDzKAGLMxeXcLSmq/VxoqiSKV9GOF1fqhiNwcjLEgcVFMohipYB1pjvHx/gepm4t39CYIVwAs8vflt3K6PuLx4iQt9Ge0SoXKKECu+B4uedtppfzDsBFBOO+20076dzXcx7UXoaAxAbtiuH2FsrzC2jyDjNVSuBqxwPFVPZ8seaqezOJ/Y5+7zZIUUwdjUCNmzUnI3maYz41KokNwBdb0TlXSQokp7AkABT9Kk7Lv6DnXEw5NnP6HmuiOcD/uWprVHSZAUfwBwcVPAAJVlWRBZQ9KR9Afv0DGYvnxx1t/5VG10c9sxjfNLPxwAKJSyTcfetFoMNKHyo7AUnTzbPxx517bRCONQcvBmgmIh3Pp2ZTTX1Sigw7NwmjhSZHZk1DX0KSLESwO0qaDd3F4OsVzTO2ix+b03Dep/BRoo65GulFIWVuFAWKJT0UYtAYbndYpjw/EcXk8DOiJj0jyWAR24XF7M+ZSfeRuGyuWztOB36hjME2wQ/8fOtFLtsDCuANzmeLDTTe9kiAN3rtlj83eCAzOMqpVxWPsmWtgcdxEX51S2lL8Or1gqZcC0TQxiAXsGn24AbyxZRPAQE2BqysQ8CoFgMzm0j7FHhs/nDaqbARMcgq4lrCjAOx//kdGKLd4OAc1Yc0TKcMYRFA1AhhsMQFOBDlsfLL26AcSLAyMLLdZW8Cw8imS+TLZKaLysBqC01QHbGdI2U0sLqtiyyPCxwKYxwvN6nHoghQlFxkLBGEh2Bub6b+FscOZItLNnyhnOuEKwbZxhwu2zAxLKJOfWALG5BQepyNeNmLdzLRoO1KOAKBPABUyTKkl7HrrKJBCytPAMsb5VQtc3UCie3vyOiR+zYLl8BdQeQB5KeU+38V1Cvaeddtp3jp0AymmnnXbaF8Xe6rj6B3edVXcAcqtR3KG6YWyvsd0+wuivIfIE6AaClCiNApoAAO1ZCdPxKz/uYEywZDi1uu6izxAeey5nRJiR7cLaHTNF7bucx6h/ZR6UdiAHIBSmVQAsILjYJBpaEWs18MQdrqB8z21pTIfShRlzB1RdG8IcCSaUmIXaH8cd6witOdatgAgApvBhVKgcr2UX/gi07IoQmW18pzfarezEG5YRegLFkY8+eytycg/QqfWM18Wxi93xnRUAJat3CLuosUgJj+2aY/rDtUwKHMOPdmBKXimc8xpe457VLnNTADnVAa8W1zVgTnb6EFWbJvppBw/uwaMdiIKDY1aACw1RVP+hBQoLFdmzZo6tYICA7fYryK9jgALn3CfiAmTEPK5gDKXzmmwGw+LQxgILw3jINp1MrQWNjP8jHBmiHIQlDwty7RL2clh4D7lArTvPiOOjPQSCaI9u6x4UIpxMK4pQGcAFVSsQYbocFs4mCGHmEIKN+jvs5JdhGyrelQkMepuKeN8vzevSMMYAgcDOfIpezXU2wCJeoIopsEsR5jKBH03w2pkVrudiuiWw9b2EEKLAhDaM7ZpDhgsDT/AEMIaagThtssT8OyHYIoDptNjYV7SKVL7TZiu+zeqnFi4luzejTDn7Yn3VqZMU2ZesX+O+rsECeGSbYoL/1q+co4xBuEIFuF0/AljBC4OWi4UxpebPaaed9gfVTgDltNNOO+3bwt7iuBIwhVYB9A063mC7fQNPj/8H2+0bkPENAJu7dQuCQr/3Ow9Aye6+4ezcE5GNEIR7AIof6w5oZIdQ31Fc2wxxSacz7ShYeM+5j/uZo0R4D0QXEC6Tyk7u2OiA6NVfX4sT9cId54vT/KMscQt3rouTZ/Hw7U5Z7pVv/1kAGESj1D0ci3g41/LePWAGOIYR2ZvsDIM1nXMKT8/rNKTPw+8CA3H820CTw2EOOFXtkOmAR53jtWeVKXVMACXTRdd7GUNIYVmMzD79bvdsayr3BABG4wDWahtXxsG99j+Oa2cD6MDQ62yUDCVjr18ITx7LV8Cjo47RMxOA6hge5jSSQOTBw8ViTAF1LIneLBNOt5TlrArixZhKBEyW2OLuY4MxMAQQY9IAM+xPYfcfsmUbD9nQ+AUeVgNRLDsUlTC2WU1BZJQyMdXRFUTOUHFhWWb2ELw7loDtgOoNQ57sZzzZZ8xQWVyDCCBfW+y+Mf7JwvpYPM3x8OHMRXd5g2m6WOjcVESy+R/jitgZK2NARocqQaS50HPDul6gItgwoCS+/hXwmhqYGpb2ngEotCTAorI54OFjjSaAawK89LbZmWM5RWNdZ0ZFMLpY+BCzAzY+anjBFAS2/uZm/WQAtE4wxV/zvbXorkW/PZ8L+4I7sKPDwbTQVansm72Jh1K1kr7b5lcApgRuczwNrVnA6tpi32kLXaHo2K7/B11f4ypXvE+My0PHy4f3ENm3TjvttD+YdgIop5122mmft32Sr/rsSe3ejl84sB0iN2zXVxj9DXRcwWRZG5Ian85dvecBIEkzsCQ0NiZjoTrCKO8dnGCKotn7ou5AxDFBs9cZPGHFoeeMgvh7B/jMGzGvSPaJ66yYI+jOiE7hyNxh3oV+IFk3KoAUyjohxBTDIQsmyDx3b/tODRBhplueD/px7QQQdkyMCrCU2t6jigdLhxjkrIbET6Ik+rxv9tfcv5nFumP7us/fyTCJ7tr1lzmb+VorYKSH6xUQI9pkNwaAY7hKfljCHDQ5BLWPySn/7shm3evFC2BVr13bIAkqFeQqQNzuurP9IwziWb0J2LvEe/BMMZ3FmIuiCq7XOqQXh7M0xti8DDBGSICvu7HmQtJVmLiE9806BONieH8ToIzBG9BcPNmzlRCx67og56BoRweBJcSQ53XzllDoGFlvLSCb+ewViJOcWyIKYgtRIwdibWoMB6ocsIFlqQHzPnmXr4Ozr1yE1kGUOZqirxlEw+dKsCLEx5eDF8zgFgyHyRKJ+1jYSQALrkXjLKXQ3MkxwpzhRyZ4q7v0xMYsebt7X8VdFbRLLmX6TwxVD2uimVknOkIVpoESZXx7zB/mHK5r2BzrbzWCt5G131w/XTI3M7Md1jRUtlABd8nSZ2epJNZfLuutzReCgMnCPLs8QTtDbxf07Y2lgX9wnaRIG4TZfu+u1GmnnfadYieActppp532bWlHJ8t2zqBPGP0VHl//DlQ+BvCIhYMG7TvjmSHk8LingIlaAntB2ONPaDdIObECKscH6gmeiHSIePhAMCYyzWoJn9jt/D+/1tEsS8QFTBff/bZjg94uo0py+vtQT+v7/B6i6gKIk17Pxen5pPLMz8Ik6z0f6u2T5gK1M6xjaoQgnNxjfe+Wxe9KwfRAcaZrX+VVyuu37SLT/uW7fCUAFXxL3KTsZhug1WHZn4pWzjF053AvVnEAy0VKs1j3xklcozpJAQZNQCI1MsxbtzOTCULlOkdQZ88W4WBP5Hk2z8hFf5+XTyaLpFzrXuYivwMiBbOlw2YD+MgESUVl6oOkjxog3fB7dfThDJRISQxAuBks4NlxohwVoHmuPxROuLNQ4JlbWEF4hMGYcCaKhUWJAMMFVe28juGgA/MF7CK4CLCCCdo7eoA+PnYi7Kd5CuUEdkWd4TbZXaYD6/eAgmSAPMyHwTOrDzHaylknjXHg81FIM9NR6l8ABjKoOoAys+gAdp2Z0cwEpteFISTuvHutNNpSXbvIHXJRSPQfPCwTNlQj1IjhQqvkGZTYmCyZySaG7HH0OaMlaCeqS/Y/c4AODURq/cIeRuXAEFz/ZDJSjneoa0aMoTkP5hwTHOd51NErGpGHoBC99rEYouI7+JECLDVdnlgex7D+XpZZHu2WohvUXMsG3lcNxAaqCA3QtkH6gEDRH9+3cff+BmMtTgDF6vVJ+lennXbad4qdAMppp5122udl+ile3ycgYDo2vmMoV+h4jac3/wfb7SOIvAKjI8J14tFyXnsPUuz1GOLBvTjqRFN4cgcamKPBudseDASdt8lSmtPqz+P+oHwAZNR2VRu/gG/H5zVVBX3cMpsFueAgwdKPCrpvJCpix1xCrJEX9wAs3TA1q0PjF+b8uNOrA4jMROsaQAx2YEXsjs+2cNBJQ4dldlzQ7iGUjmk4iWGWUpc8ioOmY+btp4cH9bj+cwDF/mZaoKkV0RNMmbv0M21p/NSd5OdpR4PNg/l+hAPkf4CNGctOk2wW35XfgQ/UvW2m47K3MmgU7jQPv7ntPFsmnQBEwlkUgG6Y+hXeTmi742jXrrX8mHMk0+r2dKTJWU22aW3b9iLWv0srj1MaWiotoAQv8+wHwLLF2N+HcDUiF4hdfOKYY9ewonkbWH8tABYwr2i8oi2LZxYOhtUAtDtbgdFodRDAQ2t8/iiRMTES3OuQEGXFcIe5jAVqAANtvQACywjUB1QGmgpoGEi2LhdzwskYIwxCc2FWa4GQCWaw0s4fJdf8IOoY2pNBI2prwdouzroA1mU1x//mbalqIJuaoC3c8SfpYNmgYs6zsmePIQK1FcbYsuwxoooxXOQaimV5ALcVbTFxamLGthHG6A6INIAXT8s+x1OkWI71iLmB2oIhocM0nDEjADybEjVQM2ZO7wMh/BvCrQNqfcaMpTFoYYzh/apwIIWMJULGxoE4ICHAsni2ngDSCksqxijzcR3wtZsDnPEwHumACqR3E751sWr2iUYBtEg3sVlngjhXyNPDM9qyYGkL2lrCl9SBsSEYw8dgiyxm5HN0L+aqWAFE+ngX5232+fBxGdm2QBYaaBmmPIMSw3ROlEFCaErgcYPIK+jTBxgKPC7/F8v6FSyXr8yQJyXkF1vOpDKl59A+7bTTvgPsBFBOO+200z5vext4cv+N/WfhlMkVYzzidvsIffsYwBOAsQtRoHpeONX3rrkT12u7z6rAbBXoM/eoCmOGJyTToaDY9c8/JwE6rkcKohB/jV3H6cQOGSaASM2djQkAWWjOQDBsjmwDLWmAo36mhVGccWd9EDHIqevPKepHvZcpRIh4uI/jwrc/MEZ2r+Mfq4c52Lu7PnnWU3znvVnXqIeCbPe27P7u+8AAK9mJNdaMMhO9I8BDHWxMidTdZ7+f+M5whMckWhHjqgoHA8+FX99mtQ2O7oizTFLcWACN0I8o+9TYsWEbYAGwZ4FYH8YxmYUJpg0ygaFgtpgmS82MMgEUYzdYOMRs/wg1MU0Gc5QnyDSFPWcq3ij1goWDtQWIWjYm024x7RAlgaVXcpaPdmsdYk8tHQCKA2cI0c3CnvAwK0VHhFtpOKveRgQYYDNi/BtQJ6GPYfAPQuzYQBx3Th0wEXGQMepZMFwEEMECjA5Fh8jVmC4uRN20oXmqX+IVva8QcUHY7O/of9fQkAGMbu8IHClgcGO/t3iIioNjKiAMSFtA2pxt1EBtxRjdjkHzda4Z46XMmT1ASECsK2oAl4hAQCCxMts64AnllSEUvR1iuwqlAWVbs7gZk0aGOChomX5i7uVY9+8BIkJzxspxHsVczrAj77u5BvjawgRSSz0f65CVzb4rLF9Y1GaGIRlAxlDPeiQqU6eGg0XDxo7JMk3NFatb1MXupIf2VczsWhFSw+T6LWM4yD48vIuy7Dbmol8M8CI1vaAQJ8b2GoMarm8+hL5k8PLgRBmb7wGqRlefdtpp37l2AiinnXbaaV94e5uTqQA2QJ/w9PR1XJ++idvtd6DyCPAjjo63bfBGFhxnImA61xMMGPZjnlx4zZgP3PUpMYT3yhOjtnK96Zg9c4B3oRjV9g/2IpF+eMDYJpQ7mYQFTKvtJO7O0vwjYvgbFkyAyMpj7AtB793vA6zLBfMB/F1W63WPDTKzmVAJI3lWWwp2yieAZfUvHYUKX+9JAFZEml5JEMCdc1rKrjPmDnmtAdU+3pfBABJgOqdvOTaYN5gMpswUVA7/xCbO8yJ0521nVD2eUoZ0sAL4s3aW4eEzzrYKIEd1gTFWAgzsBi5BoWLOb6MFISLaeMVzW7JtZgiPh6+pgQFEAGnskls4ynPgbC+2aVcs4NdBeFlGAB/D2CNqIIiFxzQwvUDMeW5rsp4mPBa6LJG22+uuFtIBLx9zgxJDhNCcMdEYICxo7eLhbgzmOYfI15FlWU3EtnVs2xWqstPYsHKLZ3lxx5WMSQPavE8FvSuEGcQvcp2yMBt34osmCKkCsgEipqnSbbwLqQFg7BlvHHQdQzLcMNAU7qZ7IcPaoDGD+YJlMbggABfmi62obx2n4bDH774DIS0EZ1JxmG0OqbOoIltQjIberW22TXL8jEXQuGFZPukRP+bFfVFX9XCdIQacNJ7MNRRWl4pgiDHKAlwjtrnXnJWiDniYcPXUdRldMIhdlHjBkIHGU3g47rcstlZJznNCfkfpBHgmqD3XggRhnB2nEIcpNdlICViSsWoEsXYxGIKmA+ivISL46PabeNmvIAZevP+HQHwBjZrB67TTTvtOtxNAOe2000773Cy2/DAdvXvP3bQ/fL5nYozj9gpje40x3gB6BbCBPEzCSR35yJkMERJ/9nQdAJDvbgaAEkBL2RlPICXAF39dnYWdD1uFKLV8HtcJPZY7LRMOrLpYpQ4Pl3C2BnEBT9bcBUw9Ffjud5Y9Gm0CG7EzKiJGxU/RxmXPnrjTIXNfu+7kHn/CLJMEzY4+AAF1t/peZ9dxEfvRAnnWduT7voLpFPA8jVz8sNTL0tEK9owYHMAc3f0f46IyfIxOvwfsJvOp6oDUcfTJFu37XE8kxrHTBQ73VTRnD0SNfNfaqVOic5wjASa704yeqs5YhGIAguGZR/YhDtPqa2d1aE9wI8EShe2Ye3/scCufsDtH3B3Fmbq7Ag8xosXr5+l9IVPzhJytgmZzBmQgQo4F8d+x6x9zsIwHjVYiz+R9gWjzshobgnehHxM0tbIa6Nn4AmlqIAWRl3sz9os00BA8S+mdvaIwdo2tDROsomwzA08meJWhR2iJB2uMh9JfwZQBLKzJWDVG6gkN22CoxH3AzR37xXRYciw9twih0wzDCuBMDTxiAYtlvclVxu8jMq9Kvo6JGuMoUwyrhe4IzTJE6OBkDaKsx4f5lOWcjD67tGv67PReLIRKsh6FNaQhQGvAm+QUdY0b9XL5HLM2HRDaJqDmmiLMzkRUYzhFGNocD7H+VDAQz+uSAuJRT2csEozBpdYz0UcxpmJaqmwQbRj6Bn17he36EdbLSzuPX+Y83rXrW74aPxE4Pu20077QdgIop5122mmfl8UDV0U5doKN95xxKucIZFzx9PgN3G4fQLaPADyBcIPpTNhTqxA8JSiByPUcQreDGMCCmfXGU5b6rm46A75TbuEIHh5xN7SllDFNy5+EZBJo7NTbr+rCG2XfHTndnLqvHlpDIKyu/XCBZd5pdr10iMLpVa9zZUzMO4l0jOECm1naFeF46c5pP1pN0UoImnyERVRRSSAyh0wApTrH6vosM51tPbec56+n41XNgJpwmC2Kp1nb0GLOg4dnmQO35Y52hDbtXP9w7Mo909GH7vrrWRtle7C3UzBwplP4SWYOWVQ9gK9g9bhHi/oTbeieorhTxVzOdflJcTCDBJTjPS4d6IU7hCGWrBNSAbFDU8fxQXkdonDwFSI3B0+mwy8SAp2z3S0ELSudQMrzdo72iL8lnUzV4RomoTQC7wfPUEUXMBYfI5NxEm0uYqFk1WG3ObwHwWbfxJoS64TVfTLQPOOLss1bP0YbQagbcCIhdmtjd8iC1uxn1jVuGGOYIbKBONIKA5Ppxb4mRB1czLUp0MyjJxdSJfZwv9C/gLFJCA1jAAOCwCfG8PXQFGqdHbFCBmEoAA7GV5R1P39j3oYAq4XsSQK5ky3XMpMYEWFpC7qKA39eJ+Xd9ewWBqoEu8m6JzLZ1DWpsgPnuApw08rjYr8S6YQJzVk+8TeBoSHQLWq6Mr5GqKqlSPZU2LGSEKJ/NMsS7UEyAWwDTuI4q5eMOc68alAykXDsALGyxjtbLwCYZO4ZYoKleTYjqKW0jo9hLCb4cjLkZsF8+grbjfH4hkzn50GwvPfeoT33doInp532nWUngHLaaaed9rlb2U2vj1r58H88NuK0N6g+oW8fAvIKxI/QbgwU9dCDxEEiFEL1HY93VctjPmQSzXOIkPHjM44+thiPdgR+wqH23zUkwzU7oi3EnQUVyYdeFQU1C7FgduZJ5vw4UqjnTrUI0oHQzEAU9+kQ6RNIiAfpbONP8bgbAqUl9bJqeZB2TYG3ib7aKzWxzFL+2df67OcZ28PBA/U2JTXxzulMzJ3jAL4iNEpV0NqDl4bzWgYAaMkaYnUxHEUMRCAuu+4yfxeWiZUixl/o1jxDf55Z7JhrtLE7R1OkOBgklYFyB8wJUCW0E3SCQYBAuQp/xvuUmEFeLYANH4+DgMZUP0SOgwBqdmmzdYctqsJDQgBuoQSyACVdLwJ8/DTDsDiK0W4mJAoEoSr0RA3gsbZxntpkYKUIbfbEnLcw5he5/gRB7ZoaGXLiPHVRzUgiPdc3q6npHDED2+2GEIkNhgdRwwUP5oCj6grF5WNMtwRVg+UQoXgBKpG6UgwvJjzrYCAFe8UbhpjQWgM3BzP84+FxTopI/zvAo4PYADgQQI0stKu7aLX02XbHWV0YEUCAVsGCa1iWANkmgELEaM3Fsv1yBmAowIBwACjNdUWOLK/yvbFbO+4PLNGpZyPDWEIJMkCd9Re6Jc2nxTAQxJkjBnQ7c0ybM6IMXGmsaEvDkAhFjDUyWwmZPjopQwTWSEvtgI/C1nVfq6DsX5uS4EudF8i1z8YqsTGdJitJIbLBwEbNjQdbwQaYCA9Lh8hrPL0eaPSAvnV85b3vKa1XNgYOLfzJq95pp5327WAngHLaaaed9nnbzkML74qePduaTxC6DQJgg8oVMt5A9AmqV5jgqu2uT1HXcD79ZuHHFfq2/e1lqc6mP5gSTYcq8JgZz47cXXxeserQBhshHCJ3wogQuiQzVECgEjT9ybawMIFI1+nsigRPio4IzZ1NeN1MJLaAPmSgjAYtnCh3xwnxsH3/kVfL/8E8sfsDlCBK3Co0Ee516J3r5esKqhWAwsNWko6e5bSsI4Tm3RwP/n5viprH+eFYDANQ6hipTp+3aeAegSPswzSC8h8aA4D6/1MkNDx5d4cPArLBeLkLvO3GUYzrKci6Px7utMvE5GLHut6QSr12Ntth328am9bI0Ja8QW0LnhvhO+BrXp4KyGIfe/+UeTfrpXneHFT1fvPvBJzKaXPuOAsh4aJZT60X2NVnAnBTJHmClUeGDnRAc+55eu5n5bXrW9reEk4HSWFiIoXoOnuT5g8zWZhPySJF2eMBclg/JPjnx9m6AZCag53N5CCnsT4MFBEl11JxllBlb/i8IZ+P5CCMhdoUVaFDe06W0NvWlvp+XTdCS0gnWbF8zsGiUc4MNHG5CprmffMiR0d/rsFa+gVKvl4ESKuzXGxZo7qzQNTjhWL1gevhiMzxQkSWaQgl/CfGv5czWjvBkqwvElBT/x7Kc7PallHJriWlzQ9N7YAO8fy7rin2Osa6hfsxdcs8NQS3p1cgWqHjaiAcxXdcfvPOst7p7dNOO+3b004A5bTTTjvtc7V4QA4dhlHe3y/ROgZujx9juTDaAmyPv43r0+/g8fH/AHgF4Ans4ApBISSWApVCPwKeZpIBrMUtnTtztoPXPNJAoS56aYmDzYHi2HUnAnS/W07hTHgdVBsU5A/1JrwYd+3bzdJGttAtEdy2q8tSHAGHoMtf0NoF0BUWAmRpK/Px33d3RS2ESWQUx8idMMRDeQMvnobyYr+znaJdPOSi7oBLcXBqN5pzcEhJG+eIeKrY57YHfeKargFRw1SK+K0JfA5ct0fTDhgdxAuYFrz38ntAtMDESi3TioY2ggwM8R1/eXKGCbAsD5gAFxwocUe3cdm99bYoO7aWXnZDH08QsdS362rCvtOZq4KnFRyI6wB92yBj+M52ZEFqvvt+QYQqqLeP6WccGVUzVMuyzjx3VIkIy9J8yAwTvIxO1IuNq9T10Gx3zUwnBBW7j7gopdCYIFwDlGwssYcPWXYYDxsS89jW9cHbk8sOuLOeZAIjER4TRUxx3ongWBtzA1xbA1ih5OMfi4MHK4gWRGplOy4y7dg8N+FWARPAzUP21NcLaiBa0NBsFCyAiIXfbPII1Y7eN3AzIHLQE4icLYZgRdTeMgBQxNa+1tgZPTZeLJ2sQyzEeHjxkGNOXbSztTUZHDpuJhIqoXMx+7WDsKwv0JZLjkGVMeeXDIgKbtsTQp9kqI3999b3YDmFLNUuwVgsAteZEV8jPMMOwzIkiV9TpeiUxPrDAXwsDn4sO9HX6fAXtY9khYR208BlbWBesK6+BhbGRO+hQ2LvCBR9WJktQ1uMC3f8KbRUDIBqjXz9sHAtbrb2cxIHDcBkItDSABoQGehjg3Yr+2WNNZUs01FAdw4u6uieXnhYyNbS/G9BiOlWYCUky49gxLLYOjE6MNfIUh5vz8u6YlkeMJylNCIsNEO/HDTSzdvSmTHO1FIVjO0VoBcseMC4fhM36bh99GUsL/8Qlhd/CMAN8O/Y/Xg//nXaaad9u9oJoJx22mmnfW42d7bvf0RIbCOZAgSiAejA2N5A+iMINwAbLHXpncvXOwRbItgnBfyIMAOqJ2eajthRm8BGTX263y2P91E+n3UMgcDWWgIuRv+2cBpyx2I6AzPzROw25xZ/7uT7Dn7s+WXq3nqO71Rn/D1s6zHwoKIpUWs493vv7SFWXQE/inafzj54B6NlthWyvffOBspnUZqiZ5J6HYrQFggnciZCtawfkWVptgHtxsrxZs92UONYdzYs5EQQzrgBBebM7wWJj5c+7ghXzQ7BTnQXGQiybyuFMx5mOSn/i8N034gBqMV5BUBRKWLEOFw39SH8WHjYC/mOeWG5kN+HPM3xBPjII9dq3SLkJEJLps7MoYFQ4bsAGma1jGFhbqdpqRjWOcO3AkCMe4VQqOnBjBwzcKeVxEWmdYJZMefmXDInXDAdfwWgZE696ij9zdklwYJorWVdNOe8MSkSSJi0izL/D4BMZTehfmT3BbGDTKb9EknAbIUZgFrooDqwo37NOb5C08ZSD6v2Iro9U1Er4DoyDnY4ICCiFr5GHtqSIYMGFOXKS5T9laMvgLMALryfTO+kDpX9evM8bLAerIcfu3asGQa+UOrCTH2bKIOF+qSCTwn33DFtMqtQWSO9KnosdxWmLsdGXdhBNZSr1frO81xkW+GsINcIQrAErfNZD+LeMMApmFDBvoGHS0VIkYWtmbaR9EdcHz+A8gpaHsDLS8CByjr3T/DktNO+c+wEUE477bTTPkcrj23YP8hORwIAZGwABMvDAugTMJ6wXT9G316h8RWKDfYgzwXkCMdY8x77rDFAhOjoIRvJfXDHnnonFbp8xlqehotjmDH3+4dUImBdV1iserfdWtkwxhXMCxa+YOouRFlq3aowKBw8sId88R1+e3gGOBkorQAxlDT/6Ywde2aG/8TOvqgAfCwHHc6LerZ8PcOc7oBJKP59NlM5TssB+ZY5vwTXFGHT47CsINHtZI5ZpBTWAcVmO7tkjo+JZ0Z9jjbb3Wj3tY7xO1Jex08ANM2zmHSoM6Ket+/b3lMHtu6DTeGg707bgUwxFr3eODCjFK6lQ1avxNAIQxtU22xvz1ZFtQ+8TSY8VYV/Z0ca48ruwywe/jBmTSO8zP+zeSWZpjsKS+7wS85RONjU5r1ibvACVgYkgDULQZhgB8XN4JwEm3/ogAqUbA3gACMbIfRGGBYupykuG6yyZiCIDNN0USmhTTPTSa5FqRlkHRdpw8NZjoNVyRkR3peRFag4pJrthoODPYHfuB5xg7KzAoLpE6/J0glb5qHhbW0fWx6jsg7nEtl9LnmXOBiiUMgw8GSIQMZmrBhVKDMaGyPQUgO7mC8UEwA3pscMvYtFIca0A5YegigeZhIA39QSuWdl5mSq8Sn2W0MGGQYOGsAV16UEvIMRJholNcYjaw0ZkudfCwjQvMwWB+Ys0Ro5Q6f0bwBuPMdwLpOwtp6DAjmWNIF6zjKLGDBkbDH7jkxxXoqsPzEeQ0A32hZY2wLVhiGE63jCUMGrj7+OlwTQSrjwHwLxCxAuALVn36innXbat7+dAMppp5122udkz13I6pC7g+Jv28OmWpaH6xvI7UNs24cY4xWYDFwBKSAOKhBBc0fZRPzmkk+YYInsHsgtvj92DQ8ObGgd7B7oS23SYVGn1ffclQRbJhgUzRLi5sfNbA/MRklnWv1Yf7CPcu/EEePh395jNje9eXiOKrseQk3jGpeK8nNxiIqzRgBTCKgKumyeoWGgrSuIa3aQcGTVAYTSTLBdUI1MJwehYFW4xkKegOr0Wb+FAzH2/QXPpkSERs3Cm3gBaRXVvS/uS4CHU9l4IZphUJ/OCkDhmVRA1wmghKgA0W4s1fCu5xYgojvtRwXXBEYOIODuesWRQsd+nPLh+IibaYGQYI6pKHeET82iAWRjA54wumS4gY89yh8H6Ha741amCF1R7J1Mas3HPiajI/RuKOoEIPpZXXiWpmNupIbhIWzTsQ7QK/RvRK8wBkqH4obJJPL2lg4FJ7hiqcMt9IPYUhIDjEXfA4mtL6IOxrjeSrLF7vS3AZ8zrIbK+ifaMXSzcZ9CvHGcxOzNsZGYF1sfRIfZ/F8AvgBYrD4kO+DNBKa992V4liYFNXW2EoHUw34inI02gNTWHfLQRxcsTr0WOFPJWgYq1tpNPZ10a4isWUMm6+m+xVj0dUQFY1gAFvMCIhc1DprIUfMjLNopWGs55r0t828HUjgAOGcg+ZpsqdRHEmMqS5Ap9E0OrEgvgDpQwhzghhVKBrCs9l6KUys8ExCBA2ABI8FEAlQ6hgiWtnrdKRlArV3AzLgsoRFFYGreVQ6+ZFt5iCo1QEMziL0NbE6rh5cyCCQWSvn0+DsYPLCh430A6/plXNYX2K0zp5122neMnQDKaaeddtoXxo4ACtJxmykfB2RcMW6voXIF9GaZBHxXDxQsk8poqe8BM12xusPkmQhICuU6difDtJzrO6a+hUj1c8TupEJ0WCaYdE4DpIn6uSMZGRKgnkHCndFjW+xe1XKZo048tzVJGZBJua47iEGBn+BSXDsqMzUnlFysVQZEDehhjfCUAAnqFquUQsoEEjRSxd4HNCYodXg/0yLD60Ze5dCmcOeG4XoKK6rg52zn2l7TebHzQyMndn2PW8bH31G84mxROHYB8gyvU4QZ3cv+VN8p+7SKirRgjuMChujh/Leck2FKRUQycL68IwFVUFlp76jPzDKw0DCCO57B24kQMQ/L8PasbVotNDYs1MmBAdUMX4m5qlZsZ0WEU1vGUIbhzXUjgDCiYA3A/57zzRg8A4LhWkEewoOBGhZmrKsA8qKNtdzL6g5iNF7t2ryapIiOifvtzi3rWr7gMkqLnhHkWYan0ku+Ck3WRAIohc5loRoGoBA1Dytyh52Gl1/9ml5VB0oErn8RbA8K7EQ9fZIBxHDwRGOtdgAlwnXE2z8wtATDbGa71g+BAizdzTM5TLt9e9SMQ5H2l+/M92r07I85t464ywzZcZYTxRgN0EHKetFyTCRhTu+tdzyXJU+HTSDPthbZeNhAsgQQvY8crDkOI1HTRFJuzugxZpiIgtlCp9qyQLSE8AAIZp642LAxqthAUSWozO+faAeV+M5xABuKMQC6LcDjgsvLr4CoYV02mHZKrA93e+C00077NrQTQDnttNNO+0LY23ZpAUDAi+0GY/sY1zffwOOr/4t1uUGboIs71pGFxUNf7BlVoO7kxMOnve+hF7HbDL8EyT5t7aEcAPLhPx2aLLbRpmdqyoHpMoXzFyk6CWPYbm/vFo5AMGFN29V+KG1SdzFjN2+m+iRPQxnsfRHTfphaE0erjnhx6u45u6oYMtCH7UrLUCxrlINQW3SWLx6wA4jyh3m1nfTiUQIgsLbn5YxdbtTyzR1q1QYVAWEFyByEhS8mqinvYpNQOiiNPZMRFncUZvtkGue0GopV29HBEg1GUzh3lcEUgF195DiW7+jolTZMIObQrs99QzwHjJ5b6FIE8CPsZSfF1N2xMtDuvqFX4QKzDpMoGdNCyZgKEZYBwPUvHCxxEVnRzUGUrbRZ3DcAPUrmSTC0VDvAT7N+6gCAGjiwtBVgZ4fAx35qfgAh+qnaMWRzzaErLDzLWCjBQLE53D07OQHaQeggWvGwhIOseX1uq6e0FfTBEDFxUG9xTAC3imRH9SeoqkK2XgGZZhtqYq9UQ54woCQmUuzXq85+/DRuDmw9ABygbKTzdpFhFQg475vjRBUkA9Rv4CVC5RTaO8bYMOQGQLHoCrQGyqxBto6pNAg3EAtEGCKEKgRLFFmkJsC7axu/1nNQZZqFCHk4UiM0fj5L9xb3mUDYfatrW/w9WVEiBTgJ4OgO00h2DJT43MprTJUlAQ+4ADA748NCtrADUWQMUPP1Uud6KCLovZtgMdv74qwU9IZ1YVweVoxu85+bgVUSoZlen2UhLMsCcSKm6fpEXXzs9hgrll1obYSFCX28wvX1Feu6QrYrVnoP3N4Ht/cADpHu00477TvBTgDltNNOO+1zNHv2fJeT70CEbhB5wu3NB7heP0Lvr7G0DYRhO93q5+j+WgR2N3iKR1K9bt3Rhu22au7aH4CF3K2cv6c0hzkiFq8+ne2M44/ddRnxyGvOkgImGGlZOhq/AKFBZXUfee6+m4aA+r7tUTSVChU7nGyAdu7EEaSo9Yk6aDoE9lBNgDbXsmjO5VmhOoUvM8zG6fy7++eueOx61s/d3eIQ5wQm0wAImn5cJDdNfZfUNDUWTCFeSi2A4ygApgijMXK8zqmFEdoRmQwWexAEh9fz3An0ABF6E5ocBMqPiOaIQGF8WAkJ3EJY04pMCYCpj5sKKtmPRihTAITEOS6YpgbNThiWBTIcJNIBdX0hE+INcCnGWIS6KIDm4CQM5PPddtQyI5gZiv3/cwc9xp2q7MpHCTIEUBPAwxQG7mPOV2vPYFYZwCPu9ZGjCYSp/WNpe23cUWyIq4FbE1C1fifM+WNlHlYWJTuOWl4r1pbQ5ckU25ExSWf2lHBURRUqVruVAzQJPSJ3rhFjnF3rQ/Pa1LzPC6tFUisDMJFWNnArw/dm6Ih7/LkuMRGECRjOfuAGdvBIh0I5Qpiircu6oQIME5VtJYWwad8wGlYwMQYZgMLqmV+ILMwRcBaetWdkDLPqDl8BRwIWGfZCCmmac4eDyULBeLExI4rC8qtAHfv9mo+VyauyTDjWecaQQWGnzDbPFNK+vmXUjTrwIZhtjbke5mRwAImJQY1dm2TOGSZCa5WhRJMF5ECjzZ6GRqtLutj9mBuWxbOPaUcfGwI8y28WjW8Ye937gOoVrS3J4rKixloHmGA7O2AaIrQAq6KpQJ5eQaRB2yvg5Qq0l15PoDKegFn+00477dvLTgDltNNOO+1zsntu/X6vURDZdVSf0LfXePXR1zFuH0DGxxkSwrqUBzT3YR1mgJZ9xHggTrq+MVAoRD41Hkafl+7gOttxPP+eu3hV74LTEQLiodrDFQD0zY5Z2gMWfkBrKxq/ALRB0Kx8kRVDAUWHDLWsKWRpLqdsiEK6h89EZox8UA0nPsjt8X+Ucw8KRfy8eipZoobFxVkjZGEK3IbDa6ebLxKZPKYGB1Gk1Y37jGzixiuIGGMoksmR4VSazjCngGKkeHXNhci6o8AYA401UyZzDi4LFWAPtZjDQZ45RRrlewagHMaEhyVlxhLXXFFlkEQaYs5WSq2EqhkTP0RY2gIsFSCZoTSjb/MMquLEAa5FmIrXk9Sd6PDoJng1tEN5jtehVx+3YvR9ZrQIvcJkHhkMEKKwkY7bndZdtJm6ExlOnjvcVnhEJpAIb5g798FEYAcXDdQicj0eBcZmTBZie8/GhM0J4ubMCLtuowWtXRxECYCmORDAYBBGaPO41oiJoloaW5MJ0VkPnVoesX4EVBC6PAY2iWuImMOpAmgbULK2HzLQe4cOyyDTHi6e4rhlOAu4eRaexRkWitE9TEM7msL72cSKBeb8AkBrALOlbI51cKbj5QRNAtzV0LgQhrCLCPt5osZo02FZe0zg13VPPBxEhq87wWywFC0OZDQQXaA8gPGcTTKcJREhP6YB5emjQRieCnnINoVPQ6/IBX6FByxddHNwJQBXZzHJyLFOcJAjx5yJ6+bcUThDZiTYxc3WepNqinCaGcLV2HRcQohVXNg2NEj2wOJcQSbYIcaGa7Pslh4ZULaQOHBLRkjcozI6mBasLUBgAMSwrNAN1+uASMft9oSlrWBerO/gAryx7KulZL9eb3jvvfct1TnmZ6ZZJGCydoT3h4JAMtCwgLFCX38IuSpAH4LaS/CLrwCe5Wk2wh5APoGU00779rITQDnttNNO+4LZdGNjV3iDyBuM8QrX6wdAfwXIE5jMQRxKmMu5O+xQezhF8FuKAGled+44P3eUubw+lI/qTuJkiAR9njODQuyAH69lzsu6rmBqaPyAxg9gvqDxBSq+/52x9aEjwukQMDfjTdBA7IDfhaJcLNJCJ/wJ3HdbA4y43wlTR+Jora3mKD3LEgQEPR3BTgjtBmJ3aLxsBdgwIdAIb7AyZZw9goHix6UzHGEiUc8aGqF5rRmhpJ/wrF77v46Jt59kcf0MwuoOBQAdYAwwPRirCBcQrQZmYIIcec0sd5TRWQxF88fq0PLz1FkJ4eNdGFa85vI6nC2CsSucfk9sYIwsUDIxSHLwQHQAIujjhu22uZO8oPEFbQEWfmGZalqwJlAAOwOVgj+StSWAGwPiehmyIsRPDZhhwLV/1FOwPmeU2YWYYA41k2fMEShuOwDTwI+pi+KerLFonH3Bod+ROkilOqxQYSfDWF/P9qw/ZV4zgZTAzhohxGm1jXx8eSjWGDdoCL2mjsxkEUAahGYKYCOJ6UHrI3pf0MdA86HCbYVAgDFAtDiLq6T2DhZEvZTO8eOzEY54OQjJea6qp1iPtOkKqKhnMwq2l7VbY2tTIsUYDt6N7tcBWlvQVHz9jDVhzokJfMwUyMuyQFtzYGeGbhmox34PoPeeYS7krA48W/8sa9AYgm3bsn6shNYIBU/I9VYBD/OKrDcx1m1sDS0rs6+7linJxwvFmiDZDpJAXeiuBMvK76kB8kZfUQr52vJCO63x1nyMUgg22/qRK1syB61vl2ZgowxnWBVRmCiXgYwOejqcSx7yJdIwuuKK3waooYGA9/8/wBKi3XVNOu20074d7QRQTjvttNO+QLbfl5rOhsoNIk8QeQT0BkaHxZEjHyJ3/qKfvxcELc7LATyx51l13353kedlLI67lofLfEj2SqjGu5OhMY+MFJ6L75pGRpHKTtg7jzovOkNPNMQk6Xh4MkvURUxFJJ1S3mWU2NWg1OX+A24yQWLXNhg2CVLQ4UcTbMh6VXbM7odnfaLWtd3CuaOWjkeIAM92chAngJoAbeB9p9jfn2bdg/Y/gZm46PP+QITLwDISWdpT06aYoMmS4Mn+3FmmLLeXc1eGrH4BxALcCfCEDmXOsUNv6Q/rMyUuDloIPZL7TAoTl3S9i+HzpBHAKxqinvv2s/JP8csgnsyQGg8nUZhD77QcRoi/sgnVPpt+AUCEU6npfDJZf6YobfiWHn6ksWNO1sgZikExl2OOMsKpjeOIxGDA0H+56/RR/prOO4HEAZtd10fFfF2DsRSULASFA4yN42iCEJHdRZ6Ppl1/i47s1xnGIuDm193NCQdGSslmMd35pwhFo2yfxgRhdWDJ+3Y3XUpYpK+JwRbaCXbneBEDIkjR9DBfaqrhnLtW2sZWR8s85GXwpmDmmd4XkyUYIUJWtn0r7vRGnMlURVyzSBQaPQDUwoT2vUGY4yvfKcN4tqWXrqzt0fsHxs6zwtbyzLFnSy3lMcEWmt9LGnfM7w2CHQf19YD2IyLJZLOCu+9qm1q+Ho0blBb02xss11cYT++B3/uyiQRXMPPOd9xpp5327WEngHLaaaed9gU1ygfIjtv1A2zXbwL4GMxPYDI6O3T/cK++a2nOlJtaW2YSigABAABJREFUGBDIRA93ISvk7j1p+gyUL2g+uwIFHCnwTsTlE0AtQkwkH9znI2JhyGTs/YPT0RvUdVxsZzYaIMRJA/Dptm9ovq0/44bOAXIHdpY4WB127pAnZ3Y0LO0CRoRhxE9peyouDE1WjYEVIYwYjkgVbZ0P/JTO5tyFnreqjigXts7cyZ7ASKRHnWmgLTylAmGc4ELoKgCYbenOOVOUt7bTrLuiMkLeZU6tJwuXARRjPIDYnOIWrJTQWijUfCpZbeKu5oz16ahVXRV4W4TLkyFLunuP8rhwTu4xhMw5bWylVF2siBoMkBgvZY5AARVs44ohdh7zFQsx2mLikDHaI/tUOsU6x3+MAabFSkeXO+BP9Infm5Bz20BHC8EiVtOGCKdRYVoPY2QoBTzER7Egwi2IdPaBooQzkJcx5rODCtwzhGdmtCntGiwsDTCqeViNZT+xvqmO9L7foYKtC5gVy2K6L2yIkznpAGhhsFgIjg7XXsl1SDDZGhbK1btCqGMMxbJeTEeDPeyrZt45goVpnNdmDxOKUC2m1ecRA7pBSsYmhdic8PE32UCuIbLDnuo9XX9jXMHawGzjk8gEaEkEDMl1WWRY/ztQFTBmgI3iKX9bY+zr5cMiw/tSkej/vfm4ywxXAeo5SyeFhBO8sLHGzF6+AGgw535hqYWIsuR3Usv7zLmeGJafygAWTz0cKZXzirnGzZYhD48KUNrCvFQpyUnJeIGnq9bJjInqiQzTjnEG5Y0+hD42DAje+8qXjQmT6+99duNpp5327WEngHLaaaed9gWx2M0z7EIRzrFioG+vMfobrAvAYLA2jCH2yN7mUr5/XDYHJfVOdLgDBdzbffwko/y/iO/57i0vLXcYnyfxCWehOrOekSJ3gCOtsib9PNkVOhy06IDGo6xLyVYn+ljayr6hAZHNgR21Nttlw7lTXz6+HzuknobUBRBr3SL8YO627iGd+cfcMc8raz0yWDt+7aJZYOAF+50FwWwxEIx2YRzTc2HTjsm/4zoVPHnubH2SUbmGJb9QSABEUbfqrFacqdwZgKcxDX7B0amNNLXvKCPNxlQvW3XGdi4TB+ho4VBWlyWGIKhZGAAvK1QITJbyl9wxlNT8mXXS1AyJ7DFTuNMYBzHnSihTSQVNuz6jMiairPD7qwMcAaAAmd1FdbIO2PRI2Mcr7cAa9nHKZWCGMLOXwFkoNicj9OneXJkAj7FqxDRb/H4cITl3TAHP+iUQEZAoKpuKyLIcBXsngJX75u0mgPjyYaFXAwRrhwm6xG8DKdXjT+Z6Uq5a7qcBWHvIEXOAObEWBJCNeT0fztZPMgE2H9PsIq3bNiDeDkzigNUEJWLs5Hgri4eIh784mBEgRjKhHARuKdR8vw2Z2LReODIVBYj09nCTuEccU68fQEqUOcL4IgQphHMrawtkGk4h2GxNOL93dkt7BaF8PBOQ883amPK4yj6Js8nRLQNRDBiRYWtzpFa2H7sOcYCWPK/i64b1qwP2egXLE/p4xNjemK7PwwPmhscMbdW3DOnfI7x12mmnfYvsBFBOO+200z4ne+ZS+E4cRfYVWGpR1Y7b9SOM7RUeVja6vyquj5s/kC7OLJh7bJFJQ3eaJx7yQsDcAaN7JbljxQnNnU5Pecxzx3EX0kPhBt7b4Z1pWuNjY890y57AC5J5Qs6gifSvAIAVCk7Hx7atj+Xdt4eoCzZCoTrFVN9mU8tl/77tis6sCqZXYQ7HsrR0fI+hC1O0dg+G2HuaeU/ssOqslmNLGIG5FRHSYgwUugegmOAGQphSEzwp+h3Yo14ZsaP6VmeLKERq7XpMzYoRAwS2K48AnBxY2rUnzRGoIqWN7txQ3/ZBfE7lVziy0XbVZTJHMUYSoyX8FuADR8gIExgdg8UYTAjHUtNZPQJAFkbjwF80hQS4VkJ1AnyrgEEpZW2naD3OzB+62wGPELUabhHCl0rB+nEHMAGaCJ0L5sRRCylCzwTMA5MJU62OYwOjGBOwIcC1S2Kc+lk0IRVJAEXBimfzbRcO4qyLGSIzjyfPAOXRfRByYWkeIO4+5wtDiVxoOp1qfRaqQVHWwCoE0NTL8DUrgT1BhEepih2rxgaMWw4ZzhDzHuUAIBnX2w00LC2xshWE4GmyEyRFgkkhch19H6KtEqK0sSaXv5fl+fxRUZu3eU6k8h1QDWHb+wBKBdInWDFBlDjvuIZMkGUCI7GuzvkbrJ8CTCVQhf0YCK0pjXHHu7KEzWxH87vKmJNwRpevkYIEABGgqDjo2CiPm99dFYDrUDCGXkHyCBoP6NdXDqB8yddhLgN3fktWO/KHTjDltNO+OHYCKKeddtppn6PVPefY1V5YYIDBazy9+m08vv46aLzBShsaNsgYUNGSYaO5w6sALLWxZYDpMIehuwNVKMdE5cH/vtnuaEOk3BzYcqc7aP2tNXBjrOuC3gdkjELbJjCrZxDpVktqQD7ARqjETEVsgIRYOklcobph4BUUG1Q3JBeebBcdNMB82TmTRxtjYOtX9NGzzBnn/rbql6fV3PmNPstdRoRHBXvIZg/ZCFRActdfZGA4tR4gMFtqUwJZRhLAKOQe7rMsFnZBLcA0dedQAR3usISDZ0URZ0CEE5cV8fIrFGOMQlV/t6lYHam1eROtwE44xRUIAqgREOCCDohuMD2OEPydAAI7jZ8Ad0iB8GJD18EclaKjo5F5ps3jE3BafBe67A6HA5TOrGa6VCKGyAIYNAIlS0fbNxOUbb7TTCx4+WIF0ABeQfQeiFbXwHD4RT27lXREGmjK8TCwEwrO+nkRD93hSidwqATB4bgNE7sVHZ4xyMSYI9QhgSy/igzNiBUqV7eQGwXaks6fFAAlUp23BD+olMxLM7qzjcSdebhwqWUqWjiy2Uj2fcMKYra0xtSgMrCJhauwMwVEFWP0XHd2reKg3SY2Byw7kpWqsV9jfXBwkG394obWyMPLInxDwRg+jggjop4Q48muOzwsg2i1a7VgenjIBxRDNsysYGzZY5QxHBDofUtW0rLYmI/xOMEDYF0e/PwLWC/gYEZRQ1soQYohzQE2RWNjJDaQ318S8BlbN/YPu1gwxZx9DmiohMDqBIu42TjiCKfSyIamKXJdQ3du2836oTWs64q2NB+buvsBHKjUUdrA2mqMYQsBqWv71Ndw3p0BZZt/12zbhra40O1y8aVKIH2DKnlKYltzhpheS9+6gbUORjEpoN3rb9cnVUsjHeBZhIuVNS+OF0/ZTRTAy4DwFbf+CjcZ2L75AuvjG3wFDcvDd4PXL3mKakvffO9raKro1Blw2mmnfRHsBFBOO+200z53q7vj4Wx0qFzRt9e4PX2IhW6eccaE6lRceLLs4hkQYTvgBqI4C+UtD80VF/A9a9vFLUdMujXNTKw7lgnlA3Z1BgDPbOCiiUat4QJGBHhRwwSAeDgVtVh1RXfwpEPRMWntsdM46eBvbV1VjExJHOmAI61rFew8si10t/s827n0WaUMhDZHvh06CEbbF9nSKVRlzyLkzpSDCuruMhNbZA5Ho4vrzeh0YvQeBhQ7t3VPcwIcQYFPMU13IpAvI8Xu7EfrZ8CyC+3BkryGzvad53maY+0Q7RNAoWaqIcG8iJ3iOvaovpg/lC0MwNMU7/vHnB+rpI9qd14jfIIObRK7+6aPEgwla3ehCWHYeGaAFgehWjZx7lan862lYyIbT/kMAYzNY46V3wEePkeiDgaWWJurhqM9w1xqe2SQVelfv5zPyRmKN8tRhGd3pbFyW/OYBpMSzOmM05XLGQH+zdMDK7XwHDZAE+ysH8oxfVytJjAYzr5CxcKFrIlsDpk4tc0DZst+ZUQIB9C8LxQDpMc+iTEzf6uIpxaeIIaXqIz/uc7GXI7PUsdDBrgtniI7prW3pRpYvc+0VdY0XxvsYGdAKRzgIh/uNMcArNzKJkoci/1zVsbsmJz38bn30U4PKopT5nl8miwUCXah3g39SWHfg/JstAMF/a1o6MRc3g3tYZ8PGSChDG9z+pEBymJCu+RhUhxjKFlxBKQssQNIEuN5fq/a3TnHHgUqGW1dgKT4LjXQeIMOxu36BqAF/fYIXt4Hr5qbHrFc7pax8vL5XDjttNM+bzsBlNNOO+20L4DZbpiAaID0CpVH9KevY9y+AR0fgpcrWDswNmDYDjJSNFVhdPQarjNAHBoicZe6K19/71++tYy6B0/YU3oSkYm/Zvw9EM4uHAhBOnbmQJvzu0+vWm8UwEMCQ+yAETNADY1WMK1gWtAi9euutPswFkLDw/olL/OKRitmDPunsQoa8W6X38P4nbETx6qDP8YAEu0QdI/QZ4hajL8GIJSCt0A+Nis5kyOydOxDNABgqAcAkKd8BUN1RWQpmtebzqeFhvnYcUfzszUTspXIYiNXq794eFa7TGAtdplT2NPLRGVMxHt3gaznFg6MaIAUw3UnXMdEkQAIpdNuDhdRARFdq4JqCmWlfXRVuePzEBivXgGdov0BgdR2dzCFQ1vhUD3jh4QIahW6dQeQGKsL2toJM+yB2TNclUKHnsMMy6ksEz0cizKPByCBgHiYHa0AFigIOmKOuzMbgI92B9I2QAWE7mJJikvztYAW0LKCeAEvqwFYzwWV3m4O8DE3ByDZtY6inTv24RsC8swpquMAaO1bX7GZOO9YgaYWAEkFONDhxxj4uSwvEBl3qhOuYsCGIOb1KJpRvB9WpQMEHqIllmVIhWaXhcwIUYIok+nhYZstAJHjd0B9rbMshAKMzzE8wxoDBCGLVBPFElpcZRhJgBMENG6zTM/Wsgj30TK/Si6y0jcpxtwM2oywJBmCTt2/eQbGMJDCjmuWnpiMtbM5qD9koInVyzSybFiyZxajXGqCJSnGOGJnxRzakIjQyHrbwm83gBgy3qDfGNc3H6Gt72G5vAdgzcaqMF7WE7g/Hk477bTP3U4A5bTTTjvts7Z3gRGZWvf5SUYnV0BvUH3Ctn0EGa8BfQTrsF1TMQeLNIT9BOASrhMsFcAdivuZGJ4VOJzXKCY9f3jT+KeaPm485qlMBz/PL1oRkfFhOq6W4vae857pIPNaK0ycEulsMz+AYQBKlsFOLu3scfFY0PgFlqU54LPYLu7uEdWcwrqTaJebD/jZNiAgnWoUYIgsJCUZD8N/NgMQdIM5Sc3ZQ80dUyC8oWDU7ARRE0SZoQBRqpkhZE0nh9DL7uihn/O3OIBhTJwEvkqV9BPGzX6X1h2tGEsktpMcIEnu9Md9j6Km+3Y/trmNUT+KZOeYxu66fRgOcgS9TBZM/gZA4lliKERkg50U45nKNV3LBSj3DQFSKcUs5ck00pzXnseMKRq5a2KCKMcoyCkQ4UChCUQYMGFUF4GFOHsjsjU5MAcHY7DgGdsqUb9ZiCy2g0UzvMLYUwYSdHPSlcw55jnuo8y2q66A2jlDLPwuduQB6wfb+QeAyaA59vthBLzdHDwhwBkosBCprN8UFc11wtdU0rdd2YWZOeYfQNxh4K+BbTZ/C8NMCcoNy93x7CNJ95magk3G1GzekLehh+5NPR0/VkKkNn7zZO0EY4RDIyUAnsnWe5fFGlCFYEVsbYisOXGc+nGRO7m1fWaZXerjup7QPE/LOLP2xrMvn1zv/HRmC9+z78siVFvaWGWYLowqhmdu0pKViKN9fL0TVTBmeQz2CR0k1zfKzYhtzpg5abwP6hiea4hsV3RdcHt6g4eXV+DFDcQLEIw/+oTxfdppp32h7ARQTjvttNM+S/sUWMXOGawOvIcLQG9QeYN++wDSPwbpE9h3J4cQIOb0TfzCwlwyva66A+lPw/a/O26aG6d3ChaO8HzQ3R0xMQ37OGLjAQx/WBXV4rggAZQQSyS2NKe2K34BPXORxMNtQlKVwHiwHVG2nUTAdQJoTZ2AvQ/kBY2UrLxgQcO6rP6wzZ5ucjr+8RCfDoYCkb3iuUXiUMV+V9edNoU5OyN23W/OwNgAjjCREBCtYr41HKnsWKvr47hDGmEIAKC02ligFZFWmGgBZXaeqFvdea99jXQ8wyHK8fIOxzJfBRJA8HvGx9b+HE5SnuftjHsAylucu52Tb6CFBlCjcZ3JuLDOI6+DOHjVXbzT2mGIgTCsroeTGW1cXyWo+GQO3D7kKUCgIoxaxEgzpAG8c1qpOPMVlLE+cRBHPQOKdW4eryGo7AAKoyOBB4RY6wwB0UgNHqEgBbGJzEB17TGNpJniPMVB/d4xflV66lCoWKpcbhbWZOO3Ai+bMZDGDSasOQDcvB5b6eCW5Zr78bNZyWv4nB9yD2wj1z2Z/aU5HlCcVQUkQKjKdKhj3urBrBjDxZA9rTpzjBFbV0U7+riBJLKi6d11VjVYIRFSFkwMGHiCCg4Goyl0ddy5L+BJhr0UvZgZyjXrE/3Zcr05zG0f7OxNmQAepijtHiCJPp5A0V0ApX6lVJzDQykn6D7BdwOS6nUk+05E0LQ5AwgOej5PCSwqGNJNg4ZtfLJwjt0IPWVHgjQAkqivp55uzPlVokMBGtlyPuvufKFO8CTW1dFvEGm4PT1i3J6g/QZ6eM/6KNeVd4Nbp5122hfHTgDltNNOO+0LYFR2mLenj7FdP8T1zUeAPIHRobLkQ3Ps3hEbTXjIGxCb6CXUHiYt/ryB0DzbyPzJaxxM84G9YYZYeKaKYFxgpsTMNJQKc+yD/+0ADpggQpABEJrtuPlvY4HUWIgJ2pgDO5JxwrSkg6Du7DZasQ9JmuE++78tvKFxQ2uXjMlXAQb64fiyaxiFuWP8LISjHB6bnJmV2Zyv3E0WtawobC4hZ1Ydq4c5qyZwGZ7HZLJ4GEpJ50weyuUetIEhO5p+sIXMWRmREQThAART43mFnusk3GsjPDuGSGFsfoIIg/mCtiwYnfOeE/DgO9ejO8WZgJXWvk7m1EBui0fL+S7/1F8ZFoYBC7MYYs4ZOBgF9ps9giYxEczr7seLM76etVMr5Tu0V3GOVbbpsHtKbGNEkPepM7H8Xhr30w5g88s2ECxDjsoNihWqHq7jZVeaYOpcA+x6zH59F9eddfDjxNgVYxgYItIt7AVkc1gWKDVjyCVgZyFTMnqeA+pWdnQrr49vVeCmm80FUgP/VNHUxjHXcaLNAZ0FhOEZxqKs1g/EDG4FLPLfAVRAFUrDqzlBL2MC2PobIMkEU9jroiYi2/ZtFJlvhgwXwoWzbgIQRY6RAEtEHJ4SzdDHSfCo6xGyjBH2UofF8HS7lTFCZEnOhX1tTkFnYMDW1WcZ2mOUlmxqdj9f14kwJm6boKiKgmHivQGg2Jo3EoDOdgyssXz3BMMjjleYrgsxZ8r5AGpUFaMPYBH//osMP2rfL8QlQ5MD8SIQ2dC7sSDF9Yv8REwxdYF4vxiAYutBY2NvMTVo0Vsy4KcbaJ3fYwX4K+ODIWAd0HHD9c2HeHz5JbTLA16uLy20Cg07vZvdNU477bQvop0AymmnnXbaZ2HHjcuj3duNzI/c0Q3Bze0JcnuCjm5pGZUACXE6SpAhABfRDg6n0n09UUnWSu6E5YM5YGELvh2bApjmxGns7EOKc1geEONwDfdbCssgjrXsBIQGJoDZtQ1Cn4CqOGuclkFCdgMOx6AhBCIjJAIEo8sfHL6dc6sKeGYMK2l1SCZ7wMoxwQEqO4tTaBDl2vX8fbsYTlLbIwCN5jvdnmkn7+Osh/g7UvHeqQ9F97so5GQ3lPLp3E3fdYdfR1RMm5HgD/4uYIu2d3Zqn6fYazZW3jMcVFIDhiKzEpOl1LHhYyNR25pOPXmoSaYDraAVofztd6HpLEG9fXbpmsOkZAWOcLY7uiF6GM9w/CXaO0Ph9HiYN4lCgzGW7bEHgqbIcTnRJo395WEhcY8YbUrGUtqN45x0M3RoAieeWSbSoyLmd7R13D2uM6CZ1tzBGQcNjlDQHMWzmlod2+LcAjod0v0wQTjB8VHFb9UBGVEBy4CtQZ6SO8aChqPpqdmJSz+r95cBdDPEkBFhF5aS14CizP5Fe8ZFMkwyBE+TzREZdyZTiXb1CoAiWSIl2xU7IqckJZQxdG4UIWIaaZpTjDrYIwAixsM+EtNGEgs1gSK1qJ6xUEr9glWmUAydTKmso7+2w5xxIwLI8OxUvMMSg/0iaswzZk5Qgjy8tDJgIuSTmcq96yCJ0RGMsAhjinaOFOHk/YS8xly5DXw0nSoHker4qwMZ8bfuyjn/jn71jGE0x/sxhNCwW/WNCyp3MMjP1i0BZMN2e8TT0ytc3r/aOtlWazetZXv+8rTTTvvi2AmgnHbaaad9zmYunQLjCdg+gjx+BL2+Rhv2MMl0ASTERl0slhWgm4WHyBVg2/cG4HHfYtkHiMAlBIDcMYkQEg0HTSP7iGCIsyzYnLMQZCRYnHgfAh2uN7A0EBPEBVCrQyzCaPyAtqxYlosLuDZngTB6cU4FzhaQmzl37PoKkb8ytE8SDHAmhRIMBPD3CpMnHVOy8B/TZABEujudgtE7gk5OAUpEdpedQ6zZhqobImXtBIu8Lr1mziAQrVhaYSQ4MEPuJEB9lz1SZ0ZmpXCU3PFnEliYxJ6uHjuvUIVum5enhgGEOKZkOMUY1k/LssLhLywtUhtrLX4ZoeGtiLd5aM9Y75kGxKPv9AsufEFkQoE7oEtbkKKlGVIyM7bovrnnCya0y2K7yb1netGt32bfRviQn2N9GRo4k8ERuiHsWV+YFw9rcAcVGxQ3gK45NyaINguoEJCOQ38s6cRNIHC2EVQAMvaQqKJ3c8RMuDbSpTp8x97//kMQA0lHh4XxKEz3aGDbBkgXQDc0HmC6YFlWgF1nx4GX0DABOkAbFB2jX/f9C1hmqBifPo5aW9AYUCXcRLOscdqQAWYLX2HYPO8klh0FHjIlknNqAn/k6avV2FGy2YhZHmaz+g5/owsEDNUGJhNtVQ9potTaEYwuaOsF3BawdvS+4Xp9hI4bIB3SNxs3rWFZmml7WOUQwsGhj0G0GHOtEbQRQBe0tjqLwQAwZgJJGbwKbLcblmbr3sO6QhdF7zN9uMhwkeMBZRunS1ud1ZduN2xtcfBIYWDG1u38MYxFx80YLJ4+OO7BpuoBYTH41gGb3ju2sYE9vfHaLpnq2AAI63ORAe0bZHRQY9DasIdn7XXvHTIEbWlobcG62PgjAq7XJ4xMbW9zNEIpm7NP1AEgC09iH7ORsS3YYzZPjORi+iakzi7EioTmHPMnarApwDbtQh8ow9oCwhmWTrisO9kHqtj6sKO5YWUTKu/9Zms1OUhKAHHDtgl673hYHzLFuIgJ1ar4nKINj69+B6+fHtEuL/Dive/Cw/sXh9H2LtmJnZx22hfXTgDltNNOO+333e49Ggl0XKG319D+CIwrcndbw6GJMwXqgEM6yyqZFlKTeSGYmgTmhIk7hAtXxojfRgWghubZEOwh0vIoYEQ2D8oMNKn1oLE7GA4jJxhA1DwEZzroc1exJHZN0VV3KrkwM/I34mg/p7IDnDmQPwUISIctUoYWFskuDCCAGr8HhVbJsaG8/dH9NlZni6uPv8mBEiBDOgpKYDu9Hj8voV8QO6/e/sQwZznKNUGNo7jtZCHUlgXKtuZsDaoObIgRH63usFcmUhw7sE9HUxkSNsaCYTNTssbfbT/2fCd7ph3Wck0Y4ya2u3f1qKFKVCuPXf/T4VTgwCLwq2Qq2hLuEalWd8dSjmGigZkRS6EBfnmGLAJcpDTAiLnbHv1MyfZSf18x4zTUgc15jmmrBDtGDXDUGD8TDJm3K6wueAhLAdZyLlQwcGIjiCGdzRsOOtEUkQ1W2a5/LBSQyaBXIYaq6wdpS0d9jGGhftKhTGgNaLy5QOjM1KXk0qw0x5ZG/SU8Z2CO0apwUsenp9NWTMDLGSciI3WHoHBtWgOQNfUuKIVVY75OXadckHLMBghs63GsY81FloP1FXpL6u1SxL8PgtDMXm71UVAz/TioYFmlYjzvWULGLunm1BeBXFuzosetT5W9zxJU8FIpvL2ABCxjrKlAKxpKQMbvhCWLY44pBaWg7xTxnpfQbNi8SLYXafR3AF8eAsbIFPbzSrMtReb3Z36ucbxXtgDe+xFeyuHfWY3ZQGTxb0MPbRpbsJs8BE9u2G6v0ZYVDy9vAIUeS4DtOKw5p5122hfJTgDltNNOO+0zNa1Pe3eM9sfmb4GOG+T2CtofoVIAFMTDJWxXOR8l/YE5XsuIV/6cGADBBB0QoSXuhEzH0s5jUhNr9QducVBDhbCuzR9Kq8M9gZaEZHw7j3k6FqmP4Cl0I1zIi4RI05shRiE6S+Z85wN1OrgC1Xbw8sLrOTS5hwJVB0J3jiOc3l21K6LN4nrTGYh2j4wu0ACXuNDTK2DgjjIhHbBZ6ABHKoBiPTpDqKbzPR0LKfUJUCjqAYS4a7Ra3M+cvQBwXDPCndQ5FiaLIvp336jmZIQDOYfCdOTmOJj12r+Oc2a/xQ75BFDCqWFAar8GYBVOJs1jqQ6IA+ACNmcb00GrIEqGCKTTWe+3n7fzmGC+EKZoCuW/YxnUw6bIHdTZXjIBpzqWHSQhb96YDwHiGNBDsKw8xoqY6aCj7H69dBSjnmMH1Hxay7YLhpuDKISSzSkccGKIAyxQe22Mkph7ijE6ZChkAGgNUMLgDa21GcIDALzYOPBwHag53OL6Fc0BFOIVwejKICsPt9KEVDR6BDHmJNYxxQTONMKSmjE6gkEyBK0FMGJzqLUFEmtwgA2qvn5pgidEhMaEABkzjGs39gP0mmMuWqIRTNeGQ1Oojhcpa21ZmxOAdFaTDGMxihoDJrNGRR+bngijPcMTErhKdEMd361r02HO3MECqkg3MYNEy3Gl7hWHuQegINa8+kmEzzWMTA/vV4kwSY3vhPm9Mz+v4XnvqES5I1MI4059n6U1tGZrOXlKb2OObei3N+jLBTquxvDxtXHfp89Lcdppp33+dgIop5122mmfuelbnrXuvRkPcBv6eI3b7Rvo4wOIPHl6Yt8KVnt4NzZC8ys1EFYQVugwp05oAxFhWRqI3MGPp0vFnQduY1Kop0G2x8ZuzoTTj028lgBdwLyirSvCCevjCSobBLdkhDCZ7klr5NiAJg3bdr7NARQsUAVkhEMKhJCnZWkJvZAlyyx6m9eK3WQNPY14aKdDUxdhRFUXEv0EpzH9mMMDewGctt79c8ayLJ7ms/5UAOHeGCgAigYoUJ0OBkKrJsfUdLQsvaw5RhZuEg6dM4TyUsFesR1SgjEmmJZ0xoNpY7umoYvCXv1eQBTx4xtU9jv9xrQJMKOVnwqe3JkD/palHq1ipu6uKUHGDJUxh3XPSHpuM6OLQjzkY4ZdES1OswdSs0YjbIIdnNM71/fwCp9LlLvTpb602jlHJzLayN+P0CNNAVkLnyFlVMdXozbEaO0FWDeMAnCKi5cuOyLRcQxGa9T03XwoY7xeducczTQ9LPsJN9c1ag7CxZVYbRgwedrjCFULdhsm+aV3A0aEYBnF2DVEBkgExA1gdkzE1xDXQwqBVFGLO6Rn7fApTCO1sP+4WKuK6V4AwNIsTfTQybSxuRIsmQWAoPv1ZiiMIFht6lnQbCr7GhWsNWeMAK55FWtlYRVxABW0ePnUy+7RWp55SJNNdNDRscUWNDogG0zYu4FVTGOL2fWV/IcB4obG1gZKvAsTjTFa9WgidfgIAOrABswmj/aDrUuBv4wELuY5tBuz98YrDsfWq7/bxlDMTYbJwjLWZC1/fP62mgApvO7GgIvYDgekFBgdxAsaBp5efwgV4OXL78LyAljWuk6W9e7w+7TTTvv87QRQTjvttNM+E5s7h2/FSepRNUyBQlvjhiFPEL0CuNnOXmTkKLtR+9AId2bT2dX0yfcPhfUhNv6uD4bBthiWbSE2LP34GmLC3NzBVmCEQynzOdJ3WSMlbpQhnXAXjVQU9kTufM5dWkqWQQF94qE927U4C3pICXzsmqjjrh3eYbn1eu8zo/HHzu7ieTXNsT50NrS0X72Gl0LvvOnilzu8C6GsMdOg7tMSxwmm4RLtMGnwXBx+zrCqOZ6O7RI7tbhzjz2dfTri5E7y0Xk/ODpFb4X8v7mrfQC4KEJm9tfaMYbumDVBdXw0wyZqyEGO/ww/mrvUUHgIxp4dMG2U/vZyJZA0Aab8ndcIRky0RfSCF2zX5nDsjjzzSPM5P6AQTxMe97k3XuP9AN9qNejw2sNU9O0739ZfMxRsFxJWAUfHEGomGqp96AyRY0tlOxSWA0WXUCxutO96hQEK/LZSv9s0AYECXPlcTp2LCLMobRz9R0W41EeQjVtf77KYvmbYkk4zc5ZfLebCbMdYVy0cM0YYgaCsaKV98vhdX881av64fggow+N20SKODJFrA2VUWlm/SH0lEg+fis4gX/92g6z24358VhAlWDr743U3pOAC2vfWlR2bDO+2EMvdX7yUKNhkvgHwbLA9+w5Fjp343gsx2clYJECHaRmRYvQbxvaEfntEW18Ci2u9ZFuekMlpp31R7QRQTjvttNM+M/uUD+9qD1sCAfMAYQPwBNHX6ONDgF6DuMN2s6drMSGBAALMmWAsUN0AB1FiF5BKNgdNBymQCncctQqvCsYQyLi5c21ONjODsJZwmpb7fOGADukuytnALXQ1HNiIndd4MHRGiyAEEt2tYns4npkvSrhHPrBPRxcJBjhQ4ICSHR9hL3F6xP6/vY/06Ei89UBjKIw+LydKaEoYIxwY7EAFa8e7Fyuk7ZE6NgkieD8FsFAp53pvvIV+xgEEMQstGc8OQktxOuZ1n+sVxKXCUQrHt83rkkKVi48RY/fT0wFmH1UWioW9CHlWkwRP3gYWzFoHRqMYMxgoh4vmPZJxlZlpFMYUsbYwfQ+gj63cwM4VNWeSKELnXABTo97v0pchTCBpAlJVuyTYA8lDiRSsugKeYlbF9u3R3kX3r86elDWhaG3EXEonFQjm2q70NY+3eYrTyXZnPzLuBB7EzBAwWBeb8zIdxIUWCDuHiZ0V0QzIGSLgVgrgQFH0XGSnsew74pDU794yba+Is1AUu4w9sOI2jlS91qYW6jMBydYUKACvqKLm/+2jY/QRBBpwa86E4tmetog7HhH9FQy9CbARCMEhEwAgKztpzJsI11EPgZspvcmBHesDZ74g1kCDtIgBSkHXyVLzFoOt+wPDhWYn8FHBRmCuKff0pOY4ICKLUM216J4dQcn7FkwUfcd67wNn4iEVjNFguBWdoB2QsgeqQqS79w2XywMaNyzUXNvHwtRMW4jRWLE0xevba9ygeHrzAdpywbqslpGngponhnLaaV9IOwGU00477bTPwg4PYHvT6RDlRqDvBNIG6BW32zew3T7EkDdouBZnNTKXTKdYPXTFNAzqrqQLO0Jzh3A+zFZHWS0rhouhRrn8sRkgTWffstM0MDesS/NY/3we9/K4A4JglDjlOn1cf4B0RyBDc7i5wCTtmi6BmXQgYpfWaO4m/OehJKTu4LI7N8FcsdOmNki0lbrQq3eb0+G9tvv+TCZAfdPAJGbGw+Ur6TA010CZgEQ4J+GQ1h3TfWUn5Xz2j70rGOO2ey/6k6sTW4tX27CWXQnEzTMCzXpGxo8UJfWTGHBwy/p/lr9oBSBACttzt9AtczBrZpu4TzB6FNgxjZDNs/Nm9lVLoEF3152V3TfCBPfsePLCmhimoPcNRN3PN7dbJUQ+K/gUQqWH8kQxvf2k7Lhb2FnzsRZsFDs2HOJcL3YOntXRsnZExhzJtUIhttvvAA/zxVgPbPehtlpIDS2ICWxzrgOZplhdJLpBlTC6Z5Iia4c9uBP4iUK7Od4qw873fhPx0BSMfG/qivgak0yp2aaRBQxK2LoBh/bTLTvOg48RjuOGq8TYOLWsWg3aPPORCkQJ3Boul8usv4fTLMuC0HwRF3WuWk6cYSsOQnMIpFqGIaCD1cZ1pCaeoT5Rr6Jf4WCtaqosGTDTLXuOqyL5mskQMbHRGFyB9ZI6+OFgjQXHGeDS2oIucR8PZRJ4X4fOUbAfJMdQjOY5y+r6U0ai972ICVkvXM9wtpaYBlekUQaQa3Rl9bzN1PsoWT8iLp7t6Z9h4qysbKA723FjiK8fagBe+X4EFErz3uThTn10tNbQIlsUechSrCdZPULz7xPxOTp0gzGm1DNOmQhy7zcoGMti9zVdHAut6wqoNhiLqXm7C0g7SDfL6iNXvPrg62C6gNDw8OUv25h3YOnZuvPWljzttNN+P+0EUE477bTTPgPTT3y0mQ6WBm1aBwgdolfcrh+g91dQfYLSNh8II7vGLhShZAuJ3UMytyTp8mrgwUyFqTsnVIYLSHpK1OAUKCmIC22dHZxozdJURrrf45NdPCSrFkcsdqkVQ8wBGzrQaDVAxssMIqQP4tdQL9OREmLO6rD2i9CmsssdGXviPM0dca8v7W6zc6LCYapm4rN7h9rauuHhctkxQgIsosJu2IMn0S7TvberFpr6LqNGh8itXHvf3DvnPMsXTmN5L1k+DI5UwgrLFuHtyZEaN8Q2A/NzYKQCQOF+0f4uALUiotvCO5rgiRZ1gnBYKdKVavblu9yEZF6V8fdsLHobGzBXQBcHbFTUgamwqTfAodkS+B8hQbIQIk5xWEepJO6V5RhQWHTGZH7VOk7Q8179RDpkbLB0w2XdQDAeAHgKZlDz0jOYVjAvUxQYMKdZpv6LzW07XxUm6vpsnB7caTVdEBmWRYSJZruoszZgaYx54WwvYz9Iantk3zgDjZ07MYZn4hnm6C+ph0Tgxh4kVQEqnaFM1CBKENfd4MZY1tXeixA7ggEo2qEYoJLpZJ9RyNYOVXJAzMohwwAUVYA91bA3izPGrO+DzGHVt7pHyM4EOAzIEIWnPvaExUSuoTTH20ynrB5RIoBgZkNjBmuwfTQBCHHB5WUJ/aQKoNSJ4yNZI1yprk72vqj1j/HN5jzJUEKZfdVa9D08s9IEUvx2dy2zvcXxCT63mV6ZmgPHZGmTJeZkiPTWjGk+/qSsOwKIdJAuoMaWSjm+K5KFNb8AGrMBhbFOyoaxIzBa+frojnU4cNzI25tsFVCF6oLM0gUB0AFlLLyijw1vPv4Al8v7WJYXuHwZ+/VwjtQTPDnttC+QnQDKaaeddtpnZG/fZwN2j6YKEwRsCtAb6PgQT29+G7J9COAGU+lXTBHBKnKnAG8g2iB6heqAaLdjKVJmxnNjnBO0fwVRAC8bjg+NmcEDcPq2OSrssf3iIAhzs91o2C4gE6PxBcwNRAsaL+nIkQvICjbM0JtPCpWxcoVSCpcdwsYunMvuQNACcjFULrvOKMwT0Q7RDcj7F92Go/jsvZ4jYBf/T+vuWHJhS/VQpqq5YT/7bCt7h1rKuEnvCyBzdji1LYoDGrvLeY14/9OZajeHJdJGe5jV8xEcbRL0++M9y/jJUCNzkE0wNDAUa3fRbo4XGchGQgbouHOQjBSdbQ3sQQwzZ00oFQfoALSpH6fiYszDHcgNxuyomTnCdTTHmcDOSIg2KPdOwGGGvqTIZaYunuCS6qF/I+uNAjMNcykHxdy8wbLNHPo9AD8lgMJBtvm5LCuYVhAt7rgZi0Vwg7ESBnQE66zq57x9LM1Qn9q2AogxmqJNgpSCcBJVDARSgQyJFtqDKcwgWvHw4j0DOwTg9gLcLljaBcQtgSiQzRTy0EReTJiWpGEoPHTFAJXeTYhWdaa1BQhtWUDsqjUawDM5MOaADYuxTCT6FhAdIBlQtlTLwILWLJyMqRmgSzHuraYBBmmGS6kDltZGrGW8BgYTDe2hRJaa3sO0xoAMq4vQgtacOVfHkJ+vDlpI3IMAYme1DAdRKKCoqlc0vzNEhq8RDuIwYdRbiR+nY7eWPl/z6vfLHGuxsjz7zvR2MrBTweohRL7+yhCIwDI2wbPvsLGqWlvKfRTKAcp0A3i4ZcYoqAFRDw/vYYboTBaeHTJg6aZzmJeVz5hdTPDMTJWZF2v8bANu5CDOgPQndLmBl/dB0gDtuD19jMd2wXvf/TF4fQ/glwU8PaGT0077otkJoJx22mmnfcb2nLFM+TA0HUX7Q8YTRn+D3l+D5AaimYqYfAdr78C5E0YDKrajGg5hlZjdiXrOktkuGMVOWNwD+2PKg5uRBAjEZECNYjqBWT0G8+rhBJ6Vw7VTpmNuwIk5jnrnmfDgqAa4oMgHfms7QqRSZg8tCm2Pem44I7br2yGyYTr7kQGFp0OKGbLwNquhHdP5vZPOF+FMHCkt+vw3qe/iOuiTzBU93LO2UzhGur9cAQLumwI6EOKjqq5bEEwmKuPHHcJZn2yEfW20lDfS50afYQIf6noSRq0Xd9ymBs4Ete7rpiT4lm0ABNMp2n+yQCJowvV9tCPYVsYkCPZVXCva28pis4+LqzcHhfMVkPob3iYThJs6PMZmKOEr5PouMWbynrVFPVMQF+0FvyfF4hHOWeIezryiBSH8GbyYGu4XDAxNbQ9nbSEWpNCwoefF2vWFO8bOdJqhWH7fYF/cETpONoLXhwho7YKIWuB2AfGCDF8IwWkNB9d28INxBw/tg05Q0Zx/IEIDFb5uwENvvA2DxVAtBUA5suIECCYOKFhIyNQqCtBvjuNIjxvhcVWcdg4iKlNJs44EzGN1tuEIsFMAYQY5W4NchBY5zwK4MbZLpJkWNXZhhpp5mIxG32e4iAKuMyXJXgIg5OsFsqxxjxq+E+mj5zoU799b85+PMQOzIizJ9I+O2lQ7LkZ9uVsrnUVH832bI1PImAAPmwom4/yuUmfpTa2vuMe8voWSsveZIMIRHQ3La8U5ySxx7SLSDoaC0SD9hu32CO03aLsATXf1zFDWtzXcO+0EYE477bO2E0A57bTTTvt9sfIw1Obft6dv4nr9v9iu38RCj1g52Ccoz0buWBH57xtAN4g+IjVMMmykPrjWEI8AMcKRrDvw+wfS6hQRMbgRuBFu10d39ps7aiY0ywQ0fjDghBtae0hwQ2HMAyZN3UiXGnhLG1XH0Xc5EY+7thPJHEyUSB/qNdTirGA+wI6xoW9PIBruJzIUDa0tIEw2SYb//L+y2HGsopx753sPEAHB2pgMgZmsc/ZhgAT3GkzLdfTZOdMxiHI4rd6dMcV1loliPEQdTASWwhHdjclZD00RYn9P3DktoIvIVlhINk6Hep+KaeIwO4soBkg6YdZGQ5/KfecY5xwDewfDAMKr16sjUxir7ayDernH874SsXK0FEOO4/hwbDjvQM2+kzvmoV3ijpOVR/xKITY7gRvoBtAG8IacoymI7GMhAQ/TEoLrNTCt3ifhAM8U5UoDQ662A64dY2wgAl5eXpSxUteLOxo7fu0xzClsJD6fCLSYjoyIGLAbzIkQMg0gASEQbQKqRIRVF0SoE/EKgF32Y54XY1QxoDSwNBtl98q3bQ6WUrNhHMBghFEoXG9lnm/hLlYGJuuhZVkyrESk29o4ho+bhspKi/WWSMCk2EQStBqjhrE40BNCz4mm21gxH1udeWJjVpyJIkN8qW+gbBfxNSvAlpHzm0jRWvOQHxuxmw5nDdoarhT1MBHsODfCtapgt7AmQBRgmEgFLmLtCx0qBxlzWr1rbY0QF8CYLQIM+4uZ/Etzas+QA+DGKGmH9THGi3rRJzhrOk2cfbG0tXx3TsaIjBAsj+vs9XJUxQWOL9Y2w9iiVo5goNgYtO/TKJOxmAQDtK5gLGhQbLfX6ELoj2/AdAFf6sgK0PGT2jDqXu0ET0477VthJ4By2mmnnfatsMNm+XT+3JHCFdBHXJ++idv1A0CvIOp+eKHp5zVi97L7TuANSh6ikM/gdW9t/sTOYuw+z4d3ffa8lbu6+bAZeR5gOibSwbrmfXS3o+nZKOAPrEwpNBtil6anYloNu4frBAHEncyRJQL8oT2BEXPUwnHIRk4QQMvvjkgPzRzumwm+zt3wAJsCLDh2pOtPZFtFhpbar3cEVHaON56NBcrrSlLiZ/y7PYwvC89xkNeJHeoKjshhvPj7CXjEjj6BIpzDQ3nUKeZxrSn4enxwD+fIa1AcZHVwjrz/WeeuurojVlkRwdgQFXOdvC5M7IBBtJ2f0zUdxp2jxuQAhR/vdHqCeMhZN0AinHFE2BI9w0HmG3MXWgBz0AAEC0TVd52jZcoOdziPcX0d5vxWBgwQ6clr2eHjuwBSGTswAL8n8+L3aYh00XM8zy4XCdZJ1HkgwtnGuGFIR4KFz9rhOVA1oT22sA2o9xt5xhKbE1bf6cyjiJfGBj2TOcLkWi2CAYTOhY9T8XazkJlwPjvI+7atzfpCugEMGBgS88k1bNhCZeyeocfiIOIQ9DHBagN1Z9r0ZA2AnIUhEBa0BA4ErQX7ZT+ckmWlMd73QqpHVlmuEqFFIgU0cv2T0GixqB0CNd6Ha0q5Z7J+bN1mdkCKMNcIJaCCg4aqQG7dQTAfr14HIgIJQckVszwMTQTJ5jsKTO/td+HIl6EPURfdtXkfQrsU85wJSzMAdeyyZLn2TvQNkel3IZiGsdYe10l/T8tntRYK7wcfA4vPYxVQstqCHUbeOfM7QkEg/94ecrPzAIhcob3h6elDYFnwQr/s4Ms+xOq00077YtgJoJx22mmnfcYWjzpJ/s1nn2BXWOYdyGv028fYrh+D1MVC44FWiyMW5xIACsfXtTZIiwM3d3cTdMiSmH5AvJ4egsZzOlLcUs25iTTGATZYKExHUwbPx35U4GbevzSGAuF8WspOZ6d4HLvdV0wbIxxIitTHhBDSDVZJZldIAGUvRJq5CyhAow2iN98AZM+P0vbPxnrcwYzaBfwkh+PjUy0AQhXqrcAD3vH8u394r+EOJuTrYIJW57483z87z52+bDcHxHbl7oAKKLKn6ACw13WZ7UC7dqi1Gqq+S15DkAAlmqECQIInE2gKEMTKHVXLVKlRX4p6oIA6s1w5cI9Ov4MVNkc6oB0a2j+RoSRBgbAD2OX9rWqiyhqOVzibyntH2AGfmcUnwMWor4NWGAjgy4CYed/KmppjbdbZNHFmyAoCbEJzRz/a28brTswVEYYynM1g2hU7v/HOCJiglN+PTOcmZKcrsAIPMTFsb4ahGKDl5Xdg1UJPOFraAdeW2WdEBGN09HEFZWjb5sCNYpCF/YgMiDMWDEAR00Zhq5gJw9rc1BC81RBHnSEbJv7ZXMh1rpuAemaYCKnxlNXqYzjGbtZkjvMAXd+ahSbWa8AyxXh3SRE/JZ/oBoIY8EaZBams7zk/ogyH+xL7elj6qwBkCOBKNfVXatYeBYE901Ew0kxnBd73NdPSAXSgCbR/EsNv/60CHwwWdsrsot95H5trxkpx7ZS4vwMc1l/BAsHMwKau13TYRJigyn4uWGa7eGeyTGboXgYtYq5PVFo2bhPZsAQybrYuEkPHDUMYt+srtIcXeKHbBGF2puU9Pbx/2mmn/X7ZCaCcdtppp31GRoc/zL2vD7VOy6cbZHyEfvsdiHwIwiu8WE28EtpcYLA+5ALE8bBvIpjiGgZE5HTscHKmF6UutqkeHqLkrqM2rJcHc3JGh+gNIgNDNjA3LG0BYQGziVKKKLZt4HYNLRFgacCy2EM9NFLYkqdRNi9Iuu+2Y8FCkdmEwNpAQujDHkJbI3ATEA3PjhK6DeZUWEYHQEXRmod5pECkPyAzYbnYg7xR8y1+f4wrhlyheIKCLQOHLkZWYQJkAWgB1FMgE6XzZRZpnrcCT6xIto0KBB0QK694vL450muhjxd/J9xJEcccnEHgRTJaujvoB0HVsNZsBz6yXcRvVQW36cgbg8iy6NhxG5jEKeXGeCK2to2d5iNows8e4s1hEBVTc8ydVyC0NSycIQ6fwJy7Ikm7b/Rg5VMr567ODtBYKtIA0DCBobymO7rOOoEDjA03WAiEzTtjYDjg1h48/KeZfo8zfmIHXzTmmzNIoOClZO3gJetjgsbe5t5u4g5l8/A384kl2ThQv8asCabOwQqgOfOhOIuAh/zM9ol1RYWeOYJx3S7D5q12kCoYDPHxvg1LA85MqSfEvOR8Iw+DWfhlCpqahhG5VskCAaFfNxgEYbEHQxWQ7uV3AIQ8d5gKaFhOFyJGu6wIQNKYLIS1CbBt6GODYnPAL4AUYAwLsxpigNAY3cJJwFhWBxqEbF7ncPFrZGjKZPoMZ7oQ+9riKZ5779huV7TlAm6KRgNojKlXqujbFSI3yLiCXUdjWRumfsdMv57MPgdBbD32UePH9N5D0QfUlmR4REbn+F64DQfjEDpGhuQsq7PpPASld8W2WchJ40vOlwABM7wEinVhaAP6EKiw44gO5PLqQM9klQEWxjMwYEmEnOUBAUPR1ggrQ86R1pp9P1RWToL7QEODejglE4PRbHV07RAAaARPd2xrDsHSLAfAMsSYNNIHmIFBCh3wlN8zNTsRezvBgD1qaNywehs+PV6BEZnKHMiXFY0blpcLiGLN9fBQ8uujgWEhOkQrWB8gIngcT7jerrhtV9Bi37Ht4t/b2vHhR7+JQRu+/Ie/B9D3AXrAHMBvY6Ic2Y9HMPi00077rO0EUE477bTTPgObjyu5HYkj64NyJ/oGlSfIeATkCkJHY3KhPt/d9gemyqyIXeR48K8b4LG3mH+pTJABWo4Ph68hYthB3enH4YTZ7nBkaDDHL2pJpcJ7VsDc059hCfMZmefmmW/6pThgMgbM2SVoeaiH1yWudWRCTLDAL+0U7dlmhApqcMb/h+ZJOjDHh86If0/mAorzT7lDm7v70dcamiX73cidhyvp+3gtnNNDpT4FcHm+w1jLGjucNVzA9z4pxl3smgYTQ2AhN/trGaFjhkqZU3+EUHQ/DO48rD8jZ6QD4GFUrkUQDKe8UmX2pK7DsZyc1w0WiOYA8SwzkZ1KjYFkGiwW5mFOktePOMET8nGPLKmUtnQIg2K8VKfm2IYRTjHZOSGczBoJw2EMIz20Hu3rWNucMPtnTog6H+aVQg5pMg4mKMdMaBzlaIjwO8pjXL/Cy0Ouj8IMCHlAH1XtiVzwvJWC4TPLrsVBpmAxiDnvrbU5xLWOlzmHc+deJ8CZQtGiFksSUWzOMprrWS1H1UiCg7oOXoDAEmuOMxhGOOHefyFgHRm/4CyYCDeiAcrr2sVNh4QxxvAxH+tD4kFm4mwL0Rm1V9bjbJbS13N9ByIF+fxs1kN8DZ8AaYQzlrkHNQRXGawNEo65aI6Rw8Jlv0PoFwrSCOOrek57O65mu6qi/EH1t+b7BAslonpynlfXLvgQMOHfWMv3JQgmjYLVv+vQJmOGGaxAE8tqJBpzvnkaeUBDC8jbO9mIJfwmwqrY5x8xYYwOO2qAuIFVMPojen/EuD2CLxcwr3ca49hQ9Xf9/ARRTjvtW2UngHLaaaed9plbPKjFA2048q6BoG8g42Ns1w8g4wnQjkbkoQ9HMcd4cHQtA8+gAi4AA0aCJfHoLCiaHWTPxQRYamG2XXdVhbKlkhUCmvpOo+cGUDRY1L9dpPHigrEmtBhOVkpxRHkPYIxqhBeYEyKs4QmmB6F6gwkuXkG+i2esdN+dY5oMF4rdW/YdvginUKeLV2/MdpUbbNeQaAHzBc3ZNfceMlW8bjQZA4KeQA43y95juiWhQzP1aPaAyRH4eO7UWPNyOmfYgWb3jPahAck2YSgfdyMPQFI4PJmyE5jhQXa8gVByuMYBsFGD1zQp7LV4dEQF8u0oM9OSAMrUDokx46FXEuwRLewOBzHcOZ3XdFAoUvRiQLYnQCyMZ0jH0IGhpiPS2gvfcd5rDAS4o9Tc6bmn8xNOlL/2XXp10E/VQt0kw+xMH8HS8bIJ7SrMqXuri+lgRmlzw+xifsGdyui7AEGeX4dpca0YMjFnck0QEFq7ZBjEZLLB31NnUQCWMtnCOKZN8Cn6F+6kN2Koz3NzUIMtEX2oHkLDePCUwJHJJ8ajlX6GP01Ipgp1ZvP45wKVDRrZhbyNIqWxlhCVYJsRCMN1P1gcDFAYeDIGpIsR1NhER9tywXJ5gAxjvqh2qGyAp0o3uSYfp8y4XC7eXT7vBXM8awBuwUhzrZaY0xpj4XfjDAc4aPUf3Rl8am3HMBHvEkA0R0yC0SuG/zNQxPtlp8dUAS7y76j99Xb6L2Jrm9BxjTqYF1ZBUI5BZR9VpZXndVZnevkGAnnIj697FhKJHcNQVa3vNXRtmjOG7KqtLfa9A8L1aoxBtNpuBczyegpGlpNhc7bfrgCMtQlawQvw4atXEAArBpZmdbzJE/rtFd68/iZe8gN4eZjt+1ZA5PhdcQInp532rbYTQDnttNNO+8wtdvkIEcSTu1Gq2B5f4fr0Cten10aTRziRweKIByB7z1za4bud4iKFCmKnUJdHSnJswh7IrSzMRldmXsDNHHWVGWYQmgAm6AmEoGpe00GLZVmhymjNBRfBmKktq1PTMMEdA3LEdy0JCpKWIIh5XeIO5w1bfwIToWFBAEnkYnpEBlxQ7pivIL34e4CBU3VHLhyJBUwPHpLU0PgCptXYD/EwrQX4CTq8M0wkUvAinIFwGqLBpdwvnNlgexBqylwpD+uxe2x1I6Po0yz/ZO9MttGsnoFDIeY4tTcmy2P/gF/f54mdxOUStBGvVoTdEJT4AOUEoIDM8PHMCBVVm/Uhd/WT6TCBi9T5gQI1g4wKWnOwq7A/Kmhn19YEYCxcxMI1kJlJeoJyIgNEkk73zKDB04EncmfYQZ8aWlf6JsobfS6ypV4QyEKcOBgv8b87t8n8qp9mRpHqiM5wEw2hES+rKqdzOAGIAKMayEFGdTCUWTG8nxuWHCvW9IpgUXCAQgkMGWAWrBwDTAKci36boCV5Ku+cS5kBCQhdI0LDGIuHtXioW5Q9myXqsx+Fhr9GH2ZDzflFAbYB5BoiodsRAEcwQhQj2TcJPDFc+HoY6MYrGi8GJPNiIYqR6jf6G8OBIE/FrPtsP3Xcailv/bFQHwBsfQu4FspdEGUPkEabBagtni1GxfRyWjMh1sYtGzFT+yrlPYh0Zr/RvhuLn2yz80SClacgth4XDfbIc7iPyZSZRBwwVHGWJJX13++yO92zJamDdgjBcsIY8O+/ud4w2TdtH5ZVaorARtYuq8O6vICFT9n41P1o25U+gJv4LmcaPjMIfZho87I0cGtYXN8qw5R4AfGKp21gu13x9OYV1pc3rPV7ZLfuRBO/C1g57bTTvlV2AiinnXbaaZ+pzV3PcKap7PaLKrbbG2y3R2zb1TMsmCNhDu4MV6g+mrsw9tudxdx5R0c51O6Tt4yHcHMO2PVCTHTPf5w2PtND3q8X8+IPolocjXD03dFKR5wci9B8sIxaEFldyOVcDWAZxhIYvnssDTP0xkVtXSPDHoJDM2NxJgFQBRRnVh+AEPosAaCsdh61WV6KrD5RpxDdlPLancgCIEw6e90F1PJMO3doc5dZQ5/GLxN+S7bdsTfp6DtiL6paARR3DrOA9QG7/p5ijAXqQjCnFBqBMt5394yTxn40DRZKdYSzP1CcVRRHvJYh2FbdLpGskyp+6eUOer4WnyznhgNckREFMFBMPCzj4JGQs68iRS4BENLyOe1P8etFiuRkQKjrBdEAkY8Yb5OZ1eeeK+YOHnPpx3kn9Sw+E8iLscEg3jU2EjTzMKnojgxLC/DOOgw5h51pZeuRHx/tq/muO+xV/6aAKWU8BjATDCEb/wBi/suAss2PLH068ln1u3bPfVSjeBiAEZPLAUvRWK88bC7CmmKdySw8BGVrO+bFGFMprB0hljNUy8R5SygktWQYGSAyYaoQ790BJ7EuBGODZptRMrpq/95ZJ+r6UULbJLSWMnyrORh+BKTIl64AGRzAZyBEu+s327v6pZZthsho1juAree9OUHQWG8FwXyK8USu5zWbQzwLUQDUgDEljeG2D3e15jFWpBF+7DuQ2YGiBAlhYJl/1zAxlKis3KUAMaMFACmEjHVlY8XWm9muBOVI2W7fzcEMVRGM3nG7PkKGM9gml+XQ4M8W2NNOO+33yU4A5bTTTjvtW2HT5yrWMcYTPvj6b4HpEQt3hLCpdPEN+PsPQ+KpNGMXTPLhSRCpUQOwSUADDJA7Vu4EhoOwbSYc20eHjKvtmG83rOsFy+6bQXM3k9vqDgUmQJG8fS3lmQ954sKdkSGBoIDrUPAyw1VEOmR0E1BkE05kNIAWcJtgSWQhCQAk2BtwR3lme5kPm0wLQIyFV9tJbC4aCnJ+kLdVfTh1RzJi2gOv0H31Pp0pef0lWT/ViGv2nuPF74+HCIsw38ocrtBl6N1CTyiztNBbLjPfFI2+m45wjsadUEO8bh4CBTzX60A6ifUBf4ep8MH1LUwecRFY0y7xcpCW45+DGLNsDtIp0GiBNgNASC3gy8JtGLeriaFyi/SmDfZIVEGnYO3cu0c18fLezJEeV1gK356OuzakMCaxARe88+qmYxxMIio7zDZvBbftVsBI+0xFbFznGKZy1f+Hvb+LtS7NyoLha4x7rrWfquqmxY8fA3R8VWJsTQwJNrGjEYmeiGgCiZGEAzAK6ok/UfpExRgTTRQjHngggaRJ1MQIHuGBHohESIcEXxLyJbTa8PIq0Np00V1Vz8/ea857jO9gXGPc91x7P1XV3VV8XdVzdK/a+1l7rTnv/3mP677GNQQRfpP9AsCl2Gs1X8txj3A0n8ZDus2pqCTpqDuQ4TWg7kVkFYn7N0XoRnQMQCvn0wQAb/0CNY9+0AUin+0E29s8vzrBCxVJOI3tLmQzxN/a6QRVxcLFz53CqGIQb1hOEfZnBkjvEFlhvVPkOMPHYn6nskj13h7TIEmHbc43BhOQs8ZiTpuGsIs+6Cizv3zqxxqbjq0brGd7xHhqraEtC06nEyNlHNYTpJECMrP0oV/LnvVeJdBYxt9wKczwmBguBGPM49H0nLCkyrJGIENyrMj1XNx/p1uEXJXpUiE8uzVIEsSK8Ka+baFh01aoA4sKeg8Q0QxocsaiwHJ6hIaGZ5cUzvZspQBePRgwqY7jfK65dzI2gXW7C4AGjvP5ETKDVk6bE7NGXe5u9ym8r55p+7HwBijjYYcd9pbbAaAcdthhh70Fdn/rQo+bDq67wdZn6HdP4HaBywrIhhKZNb9/un111Bd7WQW0ocmCbiv2YSVXBOMEGzBcwswAUoKqqoxNl3Eq6F6b/hEyItMJbDgLXiewsZE3BzN3TGE2GVNfVPpBm39oM1xpjuUElXOAJrKgxA59hDSFY5mCkeG8XYu6JpU70+M62yBO33lCvWvwrO841dUMY8k0oMmCcBCgmMRRM80sWUXFsph65mG/YT7Jn98fg2B2LKvf3XkaOzk9mpoiZB0ExWdikpQbVOVROkMFvlU7+ywJjHmAOoVFr9uuPuXx/h4wSgdxlCH/qnTMQ/skM+bw8z7rCU1lmJg44zw2nGPXBTCQacL2YFiEgeNKgtkUoQpzlou53LynRxLdYCsNhkqmyA3mRoYKBYASDIKob0TXKEU5jZlfYmZqZgWBFGB5fboNagnNPRBdNQDAweBRDL7A5Kx65HdJwC5AwWQdce7Ixv4fYSH3QsgACJ38KImUkyyeeiZRvgRtQ0+Gd3IrXaSOTnCJ4YnZKhJrzi4Chn3uRr0NFigYO159Nq85NU6K1ZJzkuUCEMnNE3CMd1UboILTSdDaAmlabWDFrENlyck2r6xbIFAiUj9B8GSeE6lBk2UcaxLHNpFbn7NPRQcgQTB3qz4b/RpjNuZDgmcUVK2ukwKUxqiSsbbk+EoGSi4SHjOqSWZFy3E0mG3xvBqzttpkes5kg1qW3yP8S+dnR17tIXxgHo8JjCQINQExc7zPYP2wXjLKJMi/ddZ1g0iDoRPoBgWYUetprE0a4tK1fqI0kbL9Ud+JCXVzPiPC6uJ7ZqH9BXds6wXbeodtvUNbblCi6jsgebbdZgEPN1Z+7rDDDvt87QBQDjvssMPeItudDe32Lx3AHS6PX8b67NNocoHgDrBbCIL2zUO5ydH2aTPGbB0CNFUspxO0NTy7u4WlY+YTTVmS4pxAhkNJ27fugMRJq7tDTeDS4SYwoXPBfVrek9BNABGa9VkjcwWdREB42hbOomrDspwr7lyZxjh0BRpP7KY2kwAfluWMpmcs7RGaPoKkFgr3j90v4djJBpUN0BMBiyiXSWRbce9wyZPC8B4YSMNyxp2XJTUgDFSK3PVlAFbj9DK1V9wWlokeLUMgTsuZI2DW00gdHENr98Nx6oR1/y5fe2BlhOlkmFECCOV28mQTTM8ZzlWmaVXM4Veo8IARWhQaEWYjzEiR4M1MvzGINjx3oz69nelZ8w97AGly3lpoeXRbS3cGHJNBgZ8BDdl9e3YfAsBbYHoCJDRANNNRI9LLWluwLI+w6A1EzqMM12apYTHqHZpCW7WjoEOSieEd8BVuwaABkmWwsC4RGmJmWC+X3biPVOBs02q/2fFL8eD7DT2yFWXbJGAwO8ejzys8iE5k9rf7BsOFfd8xd+Q+404Kc2arpGmdtue9Qicn0zJ3hg9uwUyBwPqK1gTAFmmAVdEExQhZV0VlwUrnly2fDnmuZ/fn0ShHtoVoCuNKYRTSgn2Uw1QIROrS0BQQpWYS18fee7FF2rKgucFbgmZs65yWCZ6Y799Hzq1YG8UcpgJdhBo6PRhMDlgx7eYxkRo6EUZkxnWvgA9A0Cj+Hd+3vsG0VVmEAJdfzanOOWvT3G1NmCUo5oNqaHrkGLe+EYAaIWOnzPZWoIrUcy7bIAApq7TLTRukzWD2A/159baSaVmAKoGf3juW5cwvSJ5pMO17rGkqCDYkAIjDew92kRNCFIk1RCOF9Wlp2Azo2xSGCanU2c7rmDqfd4hEzA5sW7K1BC+99F6YCZ7e8vChR5ae7o719inunj3G6YXX8OJLL9Zz/PVb4o1AlAM8Oeywt8oOAOWwww477G2w1F4QGGB3QH8Mu7wKW19FwzMILhCskMkp9UqRCAz3gCd3upBtYbEJ6xf0jRl5yCbZUf7BE+ApLCOES3kC7TaAGolTVF0yhOG6Hul8aKWDvNZnCHFIQYqhFv06t8xzvlZPVzhPyeO93X3qlLiaYwILUuOAf0jHTsBQjQaThjz9lhKjzauNU9rZGR925XDmxtSnez3HhgNn06lnnh7G73smSbnYoyzX++CdE+3jo88rgzEwyT0ceQrh5klvaylcODRlemXioZBwHiT7GENXd4mSlzbBVZtMB8bJZNl9hw5NwYYidLD5dUkWg1T7P3j2ugs54MhnCAw8x2vOqTz9VbR2itAuLBhA16hXtkVm0SmAQgTmnd9NTRSDwtE9Q7RSt8ArTCTAzBR0XeAwrJJ6JlF3E5Ahk2NlzIcsUwCKCQxOfSFRP6vh4dVtqsHgEixjREsyXeIeqsrvJiiR7Zn30bqX2QDtiunl7B0NgGrWEolwpSWy+kAh0qHeJkbXwgxZ11DYw5YMAfgYJzW3k0nA9cen72TvVrtmung6yMLxVMy1AkcRdQIg3pGAslNHKpkTu6FzXeYExTLl7wT0ZClVtUJ7ktr1fP2hqS3gBE9i7FnRlKZ1V6bCuTE85H7o3WgzA6gdoppgxIatryNds1NjRJPFMqxWkwS8fITk5H0eDOFxMt4cFBXWKVvW/XuMNnwzlmuVAdTTWpZJWyRTqjMDXO8cLRrfjWx3ylTGGOsM69OWE1pr9WyM+cV5q8HMaq0xW7Xj7m6FuyKA+xyVDNB1x+Vyi9tnT3Hz4gZwfMoMyM0t8VxmymGHHfZ22AGgHHbYYYe9pTY7ww6gw+0C9KfwLV6KleBJZu5IY9YK193+SOhYxd/jpNF8Q7fceMv9zajMZUBRsV1IfbfxecILIWLn3ONfV6ecOaHztN++ZvaB4dAgwnl0sGDGZ+fAogeu/+DWOICb4TDzfen1fU+nAeNnMG8yzGY4ZzsgopzVuTR0kpCn2jwBdp3atrzMSgDjlR3luuzgxneUXXaHh3sXYHw9PnTf2Xi+y5BOUAgqDhFc0PFUFWZX4ck3+2tuAwWdn+emHB0OdIyJecCOa5WWxtx3ec171PoBkwQQMitJPL8UCcJdBauN71Z2kQEuCkUb57CN2b0u0Ke0WZhG3AUKG2NNQklnONHz2My2HSCKMmTIINMcH0BUaij4XPapTiIje8pob4YJVRhHZthC1UHRCM4AEwdgtIvEmiCYQqkwhQTWgBSGoES4TYYpGZ26AKwafbxYWVSivZVABKTBobEWucClQVSnLCkULn4drzjZCjN4IgQgJMNhALbH3Luj8UprZjfW4r6BdRCkcQGsw0WCITM5zQHmTDeItE0DgJoYY/N3HrIMI1GmSFdFaHG8jg2NpphnGVI52iZ97bH2eI23+053rh3536E9RI2RAmgM4oKuQGM/PzRPd8K4GMDWc9Myk6kT91fINIdyrL45sGRXiqlsBB/4o81MF2lIcF7EeGCxbzsUQBrADpjmu3RO2lJrgZVITKz/gtBbcqZp3rZkVbH92E+Z62fbVtxdbmG+QQnezkNn14K5jtaz6bDDDns77QBQDjvssMPeIptcQb5C4NX7E/jtJ7Fe/g+27RWc5BkgKwBqmOS3ZYHgNCjYcDozseEzD8FF8wvMV/pvIy5faqMHoE6FAWCdShZZRkYa0aAaVMYbxzgBdOIs5Y/mPzIrAOnb3LSHsCtPDFle95G5YrRJghnT6Z83wBeMHWIH5AERPdmma3Crn4COZ73IeiFwQHepHEPza9BqLs84VYwG2wt2jk5OICB0L6DB8OjWMYdOlQqDkzXgBBMeBImybUF6ObUxHnJOrsAHwItoYT5EQCOLjSGyn8TPbgpLrQdxoJ1KgyP8tUjlGdoOQa1H5p5Ix8dR1x1jI39KOXb7vrPp564yAeZ4ZkUJRyZSZL9ZZ+AB8O3BFNMGUUVbpP6dejpRNxvvOcNYJH56v4uqi8ARwsTQ0T8RYjOPa0WTCJ9Qzm3BGa4xNjUdNqTzLNMUIVA5nWYDQNMzUMBV5+8EYm1Dtz6tE5H943RzRmsLTvoIIic0vwEQ/Y0pI1CTDLcgAOErHJ1LSmgnORTWM2xvC1AJBuvheGpbgHaCKEVhJdaJRVvAkZmpCBucqZ2dn2u6oBHQgA3QQQWwDLdh1yazQW0AJCJkNsk0f7PnBejm6BZCqiINS6PujDRogsfu6OZw3yJNMRziHZATIAvUU1tIY33DCJepqQ2BtmQB5tASzqN0wFmwea3JcMcW2cGi+q+/TQ+QNPrBmAlohNzMGbJyYMXn7Xqdo3U69wVMaayblsPtQctr3WeJzFlxZsBrTikMEGgS9nllOZLQShJiG3mr3XMov8/2Ioi4exrbSPFdIKtcgzgCmVKytxZzL59pEINopKiOrM5LrZluMbZ8vj5izfQE5Hro6bSTAH2BmGBdhxBvzf+pv54+ew235njPb/ltuLk54SYfj443IELWA/uwww57m+wAUA477LDD3gLbb33GZhV+gdst+vYU4nfYM0/mE37SrXenk6mdAW6MmeaXG7NwUFIE7/45K5BOCJ1Z9zrQbm3S6KDj4JbCmLNQrCFFZxPImU/L8hUn5042zHzvbJ1JDPBNNejsdNcFxz1TpGWu705kMe85U/znz0/luAcAXP/0qb7cuBcd3abXCAuKT/aic4umPsV4eebi9NF3g4UBOoy8Nxk+1Ty4os3vnEavsZQU8sxi4W6F32T5zQytQlKAwdaYW3eHpOHBPsn3i/Fx1T+T1Z8nh2icNM/T4PXHizzwj9QREiT+wDaYWD51Ks/xPRWGNtpw9FcAjSGyybniQwT3ml0QjBOl/kQwT1RaCBIDU1jCrEsjAxzbpaPOXxOYG+VPcU/HnFJ3ZWrwDu1xD9UFTZTgS6u5ESF9SiFXggPm6NuGkbQ1wRwF0+pgx8yxHgCcBMAU2h5LzkD2b5Y/y8y2Ylr0JpFHKNejGoUe+hKVgyURC7Pd6ArWi8AeSMUeAEcP5gpCB4WFBKbyORkkodOSTAuyEQRw2eCZfpntEiLNWe64XGbRid7jGiBSaXOH9fEZrkOhi8N6G/t/t/6g1pmxZmSzTCjTc+fOzEDZfzbEj7McgwGiQv2qAggj5f0IvXrOna5CeOb3roq0a6t6b+ryZMnl/H4IKKgVxxEgSb1zNbd3P0dZsxQqDWghOD0YeoO9I+JkoAjX1chmNNctw7bEpTIYpRC7ahw0qEno2wA8wMgWMPT1Dh0aWb1sHTWei3+v6Q/w5LDDfjPsAFAOO+yww97I/OofMr///E1qsk9se4zt8ioEt2hyARCOyUi5CwyBzlkfYrhJW7+g9wvW7Q6iG0QNy3Lipr8DSamfNAtKULBOPXMju+D06ARAI87b46TQtstI5cl0pnHcxlP2dPgB7uIGeGAGYKGWisapnHmI32q5QnRSyqFPmv41I+EaPBmZdvbpkq83i3L1Ozf6dAIGwKFX95TpNZyTfc9egyjx+2B3JMMDcIbwZH4PABB3tATLCIzstFC4K46TdalqZSiDCBMvZ7hCgg0YTA+vOtFxkFGX4fDyc+lsgcBZA9lD4Sh7OrwVApEA2nWrOPZH0xMQkJV9yHz/ezgVCwYL5L7YbtR7KstzrlVAicwfyLqjQKVimsyAxfV0nkAUp26QygBQ4rQ/ymOpicF2kIndIDhBhC9E+4a4ajJQMmNTnr6DbZAhJlL9PCFg/GSwn6J8IV5rdotuhm4dWB1mob0CVajaBJRplUdkg4tDvWFdHevlgnLwJUCW1KOJqeCxPniEFEY2kZ5uJiDn6FcZ9UvnULDAyaARsUgljASjHB0JXqDAk2KVGQI8MRttUuMjw5Ou1yrAti2Ansa1wdNhz7Ui5qt56EVZX5HsPJUop+GECJnK7bNHyInzJ9+NFONa2XVm8MCGUi1ybooIwQkBplBItAGOBcNujOkhFktQz8gUyedSZuCZ2wIRwmkFlFTLcQyncPTQsGGkCpZT6INE6GiDqgyWy/OmuU2gAuOJbAq7GjYzFB+4DlD1uUJf2a5jPRuvADcG2D76IAtcQCiZJNkWCXQYASyt50eEqzUshb1F1zuZWWO+aGtQgqVb3yBmoQXUFiy6wAzoqhE6JwleR20FHevdE9h6ga9PgNMLSF0tQTA8S7YKuS7ea5bnteRnaa97wcMO+6K0A0A57LDDDns9e3C/MU6qnrdjCUc0HdsV2/YUZneAr1ACB+IK11Tt5zV0QylB5sZXHbqsgHa4BiCgqsVAGOktffoZ77tFNpwALTp0OUN1gWqECqlY8FwkncnYjK/bXbBQTic0bWitQSmkaD2uZX6BeGQxWJaGxvj1OPljissrsCHo5nSOqDESAogXCDrOpwgnUSjEcuNPdk41fbRt+LzpRI4MOmERMuO+AdKgjZk3XICuQePH3G6xeZ/FcT3BnWybdMRsjAGHM+VlH6e/DIsYJ7iKClvJzDnYKEBpgI7T9Tx3Nzr0M/iToUuZ2rXK5xEuFSmU5xF6NXhLj0Pp3AUrQqTxZD4ZSE5XNpyedlrCOXdlX6XzZvfSQEuOW9f6XapuBHymECohEyJZBnW67OlSRR1SCPW6Sj69kdhF4ERMLSqpCZL1S82CAAgF6YmwzPTPuoFlGWFdy3ITvwudeb7vDJVJQNRs6FIsLesVzA6lmKxKw/n8HqSmQpXdBd0iU5TKOUanDLYINENg+vANERm04B3eV5itADpUeUrOZnOednfRYA5giZ5mfxo0+rg7LhfD7W1Ha6HFcWpA0wgptL5FZqVtQ+/BYOrYABXIeYE7M+IQQHKuNyLM/uKRjUcj73nolhTQS0CgBzBb4rdOcIYOqtmFmVtGmF+NbWhorqRWCQzeN6htgG1o2qBolelH2oLldBP9uN7VvK1xYhtcl2Ad4A6QBkgneOARUtkv6Osdth6Zl87LKcATXbAswdJoukR2l0mbyPxS5T+dboKt5Dk3h1MtnoDixN4wwkoawqXSQhw59XSW5YQCrgGEFg4wNHvqMvmoQu/RB01bpNU1LfCgewjIWu8EFhVW+j4PO9lCzQ8z20FVu98k1hujtkjJm/PaUJ3EmMku85gFyZxM/Z+cEw6HTv8WBPBp7nCyq5xzOfpRau5at5rDGY7pKrA83EBD31b0zSG6wF2o+Rt1WNj3Kgu8x9pjiLHeO8e+RshQ8yvQj/2svuFGAVfH3WufREPDoxe+EgmM5Rq5e3xd4cr37QBPDjvsrbL7AZBvoX3yk5/Ej//4j+P7vu/78Cf+xJ/Al33ZlxWq/l3f9V1v6hof+chH6jtv9PrIRz7yhtd7+vQp/vE//sf4hm/4BvzW3/pb8Z73vAcf+MAH8Df/5t/E//yf//Pzq/Bhhx32RWD+nN+H0QUGhGlBfSV4siEc8QznADLtY0lHFpARmQ4iXWqHaIe2jtYMrSFi7OWh+87FixNs1ROaniCIn62ddpveCmeYTubNeqS+9R4bXGV2HdY7Nv+dp8dOcUxu8gkk6O6kMa5t3qM9fIVj5Wn5ijx5bKoRmpS1uQpjCIcXdED6+Ike4VD5Ko2IcGoH64Bb1SkLTdwqj/IIVHg6cCM9bdyPZabuADzvkfoCGQo132s6CQboNHc4w7IqZS9GGcfv83tTX1fbjh6fw5Xk6v253kOTZvwe1fX0GpGQjiBZRTqJFe/7dH7Nuif5yWrvdG59eiHBhSnUY1crAigy1wi7e+SdUVXwESYx7REwlX2kO2V5i1GV/TY3O8ulSzjmsiBDciItcoajJHCJkmIwA8xlbtpwdqFY9AzNlyy8npJJQNAnQb/UmJjG69wVFargHJOZQaVRxHXqjQJ+oFH2arfQcDFz9O7YOsthY10QMcA3uK2wvsK2FbZusK0H6OE5dxyZ0QTSAIr2RhzIrOvjEGNDbT2ut63wvpaIaznbrgVcRRun/tJ41fh1VPiUQlChON6hMOjETGuqxTiQWX9jGmfjHluAsog1J9frXC+3bcW2rejUIgnBUDBjjfByBF0rLDPYhRF2tfFvg9GW4T01JjnASvuJbCfVhtZOaHpG0xNUMy22JO5Xa7zXesWXhXNfgBh/WvcpnXHnWrVV+VKseKcF88BjcQ7lmQVlcz2p+V/9zRFdoG/O4fEMeuja+6fFfsSPyRnpjY2pjEd5hXPW0buhbzbmIVDtlM+xbVvRe/RzMi9FIjy2aYSkzc+/uHa2Yz6XYm3LZ6VqCJ+rGxbpWLBiu32M7e5p7B9qvarLTo189e/DDjvsbbO3lYHylV/5lW/n5T9r+8Vf/EX8yT/5J/Hf/tt/273/sY99DB/72MfwQz/0Q/jX//pf45u/+Zv//1TCww477J1vBmAF/CncnuDJq/8L2+2vY7u8hketozXAtwhJcUQ2lBClBOVIHJCVGyWdnKQI/YGs4ZSUQwWMXdMkyop0DgQqJ27Y+mBPSFIYAszR8LYKlAltlaCtp6hosh5y8y3gCXdueC3CDDo6N6zc2IuMjbffojNzh3qe4HoJOwYzJJ1TOktT6wZdvQOIFJDuvTKbiMzfSQeEbBnLtJTpjOVOfHbLZxDFMQCYDscdRnradABbsT7EF7gBW4V0IJycbG5J55qbfaSDHM5jhjooHU4tfnh1CEYs/uToiwCimOUi+fECThwdlTDanRt2hUqwfUSUdPDhKI97zI4P4NQLmfVYri1b+fk2uTeu03i+7ovhEFmPtKtDjLigPP43HboLHe9tAAdkNCFPgndhRnvtmF1YRL6m0AwgHeFWZUh2CdgLKgtPnB19U1hHsEFgUOkFROkpQ3gmnRGQoeQGsxWhdSRwU0A1Qi8QrA2zuCYYwqcAmmR7tqqi6AmQE5ouweQpRc448b/v8QboeloeQXGBeMe6bli9A7bB1ks5ok7h5sxC1VcUYaw1OvTLDbU/IsbEPQHJDbCOfncL0CHvvVcfaFO0pcX3CizgyhKeZ7RLhUGRWSUBdA2GAyCyQGUjcBqg4DJl/pk1QUSiJ43XN5HAgUhnEI31cwDYRpAZiIgWgs3qOwaUVlYWhjliAG2e/eFApNFNRzlZcVKCrCNchWNGQIYPgTGdPOma15g+P8/Qh2bqNdgWa76nSK3z+WUCdUf3FM7mXJD9alQMpz5C/UQUp9MDt/5c7QqYiTbeC9Xe+0q1b67pwbYxBXyLsFSRsQbFEMz2i+eDmUKUwsSqEAstKXeEoDMBFy3wKrLnbWZYCrSLv3mud2IAtgj5FMHlySs46Yvoj1+G3nwZZHkrG+6www77XOw3LYTn/e9/Pz7wgQ/gP/7H//g5X+M//If/gK/6qq967t+/5mu+5rl/e/z4Mb7lW76lwJPv/u7vxrd/+7fjhRdewE/8xE/gH/7Df4hXXnkFf+bP/Bl89KMfxe///b//cy7nYYcd9m6yh47TnvdGOkAbrN+ib09wd/sq/PIUjqDVxwbM6nz+PniSzhqvJRIb99xQ1+Ztv4GeTcrJ0Dx2BEBNErNwCJIlQbp3xesjTqOVtGmlw+42QlTMO0NnBJqPEW8BCHmcoKWAXwIxASbkBjxixYUijqnnoUwrOzMopnNGViNOkccJqsLUCWdkeMwMJMVpa/lgmaVHnEwAYG7AgIAIMFXIUbBmkvEixUBInYBwoF3p2JXjjl05rnspBXyvz0ulTi4nAKU+5vW/3dsFpl2NBM/RNGj8I43tgqGBkSFG8xhLP3mEmAztFZZl57SMrrruu4f9mKENUSyoq7/v75Pk/vlMOUGyjeVMNpMR7BnlLfIGlACIThDN/mS3Qizo2DvLug+SSnALIUrKEITIppVtmEyPmIuOdMSyf+dqE7ziyb4CgHhE9ElDamBkeJDyxF0ScMhTbGGmLclKJ7CQyhY5H4d7nOVNQEpVsCwt2innvTkzyRA0rJAKAmFsV8HCF+dzNCjXjwB83HqI0fqGbisBlHA4E1iMOjRk6IogHHlWKcJ6FFWL6p8U7dXoBzdhKEmLeS0Btu7YWJ0MBud1Ee1lagy74jql0Y8hIDrGaGaWaUukSqkQSwUdY2qfSIA3ma1JVRnKN83nnOcMm8M9QG8GD+tbKGDGpvl+7/nwxvDm/prja26DZZJvuhkgY711SqJm08xppvPumV79+hmWJLHU93h+aFDO01rUOScI7O/WqNepsYMMGmfaaIFLPPvAsKUZTBU+85yhPE4QBchnGMMh8zsFeA1QfazdsbbE9yyYWdOzf26fy+UOy90z3D57ikenDZlA7IGdyWGHHfabZG8rgPJ93/d9+OAHP4gPfvCD+Mqv/Er88i//Mn7H7/gdn/P1fvfv/t34v/6v/+tz+u73f//342Mf+xgA4B/9o3+E7/3e762/fehDH8I3fdM34Y/8kT+Cp0+f4q/9tb+G//Sf/tPnXM7DDjvsXWTXjt0u0wsdnt3nNsBX9O0x1rtXcPv00xB7DSdckCllXYzfVAIoPHvaOdxXv8/AyQMZaHKDNyx0ABKQCAfIAA3tAeFpuXDDCWkQ9aJutxS/1PiM2RoMEwdS6yEyZ5y5h1WYMRzAQltFGyn/kvoGHd23uFaKLMqCZQmBywJQ7m13s64RUuPe+TOp1QvduC2AjB3YFM7wRip9smIi8wibVub7RH0ToDEEZb/bbZS/b1iWR1A5IR+hAoYouKC1axHEdIpzwx2Ok9DNGBobkaFjpH6dQBSMjD+52a+ul3RnlU5sDcaJhaKQ7DPEewGiLOkKY3aea3fO8dj7EFpMxgqQzoft7pnOVZ2mjr+MMlV7Z2n49wcAoAwNqDL5VftKODEFcCE0JUTSiVPAgpUhCFp9tCeZE3SURqnHmIksNkNjQ5Vpu2EEyUa7wBXuDXACGNlPbH8nY8wJ2qTewf21JIVgO4waIJANcIb4WOOnh/MIDB5NQ6txPxo8xqcmMOcO51wJvZ68d8wrIFIQYzkF0GLBpEnHMOYpHVwDYILu4UBCzlCcIbiBeGOoVoA8QUPZGLqyQhCaJL3fTSEtg2VhLqH/QvFZr/6mk5zqpjXXI6QKopBk2yDYSeYNYJpa0RNElgGkoMF7IANikSEo0iorxFqAKAkE6ACjspwBngSEG4y8TOFMxpjHmOkEQ0NYlsCQNGom52KEGn9OPYzEneL9/M8AxcHQjwHyjIlkPj2jPicbszjLkiFdqvFMEaIesaYLunutYa0px4xiY9+O1MZj3sk8HWrdesgmZlwC5jLGb4APV2E/SABkfyVHhKq1Fs9OBVPd61DuCtBLoG0GeTOle5Ynx0cA0tu2RZiODRZkfHzWTfIADuEQDf2wEgXnupoRX7e3T+H6GOfHr6K99BWhgcwaDID9gFMOO+w3095WAOXv/b2/93Ze/k3buq74Z//snwEAPvCBD+Bv/I2/ce8zH/rQh/Dn//yfx7/4F/8CP/ETP4H/+l//K77+67/+N7uohx122DvJyonNzWCElgB3ePb0Zdw9/XX49hqWdsHNucG2Z7C+0UEXbgFD2BF5kouGWbtj3KRPr7QRojJvdIdjqjuHFwgHZqenUPdVKE4QbLBuwClOcRsdBfNtiA0KT7Hr5E2AFI40QzfjCeIG9RPqxJsU8M5sBefzC9TWmFkn+/AKwUgYCqA23nlq6wCkewjt1t8HAIJJmDI3myLhnJjQ4XywU7M/OxxbCEVS50B6hG+o5qacgMR02ppORfwO5GlmgQ82wxnTxpqOiqrW3xLYsNJ86APjKN2GBNCkwI9xUnztjMgD7w0HPgrKMsOHkwQCbXROvG+o7Bq7Sz0EhjzPakDVv9MxTWAnKptO4/yyag8ngIJMN4twwMUd6hIhHTKFdexCd2z6mfdPcGg+LU9Z2+uxSue1rjmc4QQxYx4uQ5ei2iyvM8qS80TVd3/zdJgkZ20AiooUlqUjmOOsqBohFhuhPtmPET6kDB1wCWaIZHieRAgNvAVGIc5/L4O3k/oRhgCpdIGcH6G10HSBOQxbMAosNEgiLClD8JiRTCetIp/XPUHvFEcWQZMAsBipEn1g8V4wq6KNm54i24lMYJItgJILoicK2zZqVzi2rVOvhCGNAFwZHkQGS4ITteZZDl3lvRPYZMjGPMo915NkXQXjQL0xiqpDCtwjgFRis4ku5HgZFxfer1hilXI+7/n6JnkNHyNxsC1sAH3mjBTzAeYAZP91pnpuXOMSWATO50eVqSfSONtovwdtLvPrLCJXKcZzvDwEIl1ftd6reZ5rMwBRNI+Q0rEOOXqxRQBSfGgb4MHKbBpjb1s7IoRn47qcZUhQuVAiuBv6dgGgaAvna16fDEU3x7atuL17jO3yGvx8A2kvAjLWn+e34WGHHfZ22PODmN9F9p//83/GZz7zGQDAd37nd3Jjet9mYdt/9+/+3W9CyQ477LAvbPOr35+3Mcm/pcjgBdv6BOvlMcQvUGxoGgr9fUrzaTJt/5zusiQLg+uUO0oktdLl8mRLBkhQHvW00VZm+yiBPqDAjNRNmFAgIE+kU+QxT08pnmhGAcUSTh3fmynxgFQdK9RmAjW8nL3hRxYLwScHehbPrDrMx5TT77sDzQRshjOcdR2KKteb7/k13ab6dRatnU5Q6ejX/6awgBGKM7fxHhyawa5kCuXJ86jzXK8Mb+AprD/wys/uTp796udDv79Bm1y1/wB+6GRN6ZcTfMmyPlzO9NzSyUiHZW+jBR4o7ywiiutX3iFCJnJeZVjJzvXYsbo4bmsMGZ3ZPFGenfz7bTT6PgRntZx1rdC4AtrYkrNTtSvcLmTPUKFx6ZBTjNhtC0DLxrwWgMK98wrA60w6JPXiGpMpsEWZzUYb2rJgOZ2wLCe0tkSK1tagbalXWxYsyzn+Lgz9MYP30E4pgdsU094BxVZjYdemYvv6Z4+KVBuL7kNyVJcCjiM1d4v32gJtpxIDLpTRM0SR/esTU0v2r13n5I8KnRqv624sGkleW/L6WuyWXG5mlkYK0frOace0TjpBDb5y/s/GB4zvGCApvjLKo1yTlEDBAFc8R/auTap2+YyYsgvFdSMspqlSD4fZ3DK8KSktAIaoM+I6yUTi2lGf4eyscYAr5uVzMBeZvj/32U7kPOdksYcmX4H94h5HHsV44XM0s5MNdp8gQ/9ybRrAvu+QK8uxNzFz8jklfM65G9b1FtYvcLtgN19kf73DDjvs7bcvijTG/+W//Jf6/Ru/8Ruf+7k/8Af+AF566SU8efIEP/VTP/WbUbTDDjvsC9pyM7IPU3jYDMAd+vYa7p59Etvl04C9hptzh2LDtl64kQJMUOCJ1blfQ9MzzuczXE5wW3HpT2B9g2136P4E7iu2fkFrC5ou8HaDOgVnnHUKqqqeeBLc0G2FQnDSBSF+GKeGo05SNWjLDW4evRiikWvH3d2lKOp9i61rZhsQAR1E4HQ6o2lsdrsxjEIlNreyoduF2Xa8wlTcuKFsg2puvSOOvBcsLcIOTi1TxSqa3sBdIT4eX3HSTDHMwn2oJWFrbYY1y6yzazODA8+3qG+e7CLCM9r110K0F8Cka8DNLQGRZAAku0Dd+JaghHNdYJ0OSAM1LjzEaTAyzzxs4Vg7Y+xnR1Qi92f8m6EVxURK55ab8hR9DKCLJ+zQxCw4bCJtagoljmbcg1T0iwboJHlNHXWGP9gHkh0Knt9Wd6VTFeBet8lJoaO04BTOR4nPKsNwEBSgZJzMjjmZDX2NEJ5gTK0wt5p75/MNZHZ+LMDRyuQCCkouCYTOJ8V0wsoBTX2WGEzijtOy4LSMHjYHIR9Fa9EBka3mWWRv2Z5F+Mt2qT5opzO0hXBsOqetJShr6HaJdMndQsg6HdEKhwDnzBkiBl1OgHeIdzx7+gQwC80PZg86aQNkgS6PAInQxFagh6Ebs+ogwBORDchQJVtjfiO0XxIcWNqCm5tz9afZcKZVW6TQbjkbYj41XfDo0YtTm4dexenRzW5sxDgOcVx3h205VwwmfTijItCWYVMx3sRzDZnGaIYTWaY7t5rrOzjFc6Sno93iu2jYNraDD80mo/C1MBW7InSzzD3SSLOtGscf3CtUS5tCOeW3dWWWnV6Mv0WXWF+XG2hrkKWhb1MbFUACiAtO7YylLfB5fotj2zZee4WoxLrdIkxqu2wQEZzaglO7cjnqMpFWOMu39Q0OoC0LWmtYlgWQBSIIdmSuITmfwCUMwnBDR3OpMCpgYgYitIJuzmd0c2i3ISRsXsyVADu9DlwzFTYEQMv+NfTOFaQ/gy8AFkT99QS3E7qt6GYUF54ZagRogZgvXMeK1ZWtn2VV4MmzV7D2ZzBE+BtLOl3zzT3LDjvssM/f3lEAynd913fhF37hF/DpT38aX/IlX4Kv/dqvxR//438cf/kv/2V89Vd/9XO/9wu/8Av1++/5Pb/nuZ9blgW/63f9Lvz8z//87juHHXbYF7Ndu6oPOXrpvEXK4m53gK9QbFBsSL0OHuvCJEN4gMGwCMc5/Ic8xRsMk2D2ko1iChfj5k7Re8f9LCbTxr2EU1GOwS5F5pS9Jn5fAEmAxcY1JP1WbkbzpHIKR8iT1bHFTqdnCIBW5gGWL1zjHttKC0coxfqCdZOnlbwnGjI+PKjXyZihfKEMUczpCHh3QlfhLjubQBXHKC9DA6KuPjFL8gg6nfBwOsdh5jjzj1/C2ZOq95xlaXa2pjIXG8erXDMes7esU4rpcqO+Yy2kxZiVKtdgAozT0myr0b91J5fqg/lv+9KP9qYLXHUYDmqOx3GlEqad2y/H3g6gQbVlCKd6hO1UeedQNZao2BmZ7SbDV1iWuvTEfKjqT+XlDI5T8hH6AwzKvszjaapbHL5HOecwoWIF7MbtzB4DMhSuUgnbBdbvAkDpK78iFIRWuHagMvNkOQbbwnzoNLiM+6YoajppORZiGk6AAOfd0OzJzFNzamdnuBdTjU96FRBAm8AsnP3oAmc7yZRCeVgspXm/IWDKi2HWFUrQouaYYPR7hmeZBYMnyyoBKmUoU7XJVJIdmwFjjhaTYgJQxhrcOKXn/n2+Xc8JQa5/CgjFwN1JOnydC2aRcj5R18PhoUs8h7BgzPex7rAJ77X3+Hz2PTwFcuf5/XDITgIEIlJhPkBkr9mNHY/xEim2+7QuZcn2dYUA13Px/nN8GuMyrTRsp1HfbPuoU4ydzBQ1WI0iuXZ2iCxooliWhdl8GF4l8xOB4wupXzPqG/081hlVhYuj+4r18gx3lyd48fQeBIJ/v16HHXbY22/vKADlJ3/yJ+v3l19+GS+//DJ+5md+Bv/kn/wT/MAP/AD+4l/8iw9+73/9r/8FAHjppZfwW37Lb3nde7z//e/Hz//8z+PXf/3XcXd3h5ubmzdVtl/5lV953b9/4hOfeFPXOeyww76Q7SGnOx1bg+MC8zts/RkEK1Q2KOnqIR4bJ7MAeIqYwAkFJg2wjZT8pLlLB8Qqpj5PKMU9dAYAxKnuvJGSB17YOX/unXvbDrQUP4zsMil06ZIbOlKTp5ibsfnMNKAejpQnkGFFKzeZN4aTjkGdng2qc7fIEiMA3HnySwClTu41TmKHlqruylbAAPKkeMA544S9XYEV2W6TWToMDSpnQDQ0EyqLx+iTscXGtCEffVG+kCcSQBHZ68/mmMh/0ikLRzLtfhjqcCYGYIXdppyg0tQcbj1SnkZKkwmkcdgu/GcaQ7uy3ivG9Dn+McvgwAjHwPQZ39072smvroXpc3N5ONYk9CfCSWnj4wTicmiUOCMwQA86884ylqM3pawVAJrVEVR5HVdhYrOnvavpcDhjXA8wIsuQoXmRIhZjviGZCmwfM4InF5jdwewW1m8juxVzCAsUXRod2cb5PUDTuHfeb70aL3H3tpwi4wwAIEMUECfkAMftHByUkGVPgR90MJxoDn9SBIjCNMAigC4NYh7AMHqtOwAIDk/9Uu2SoNA83mI82AQWIJE3A6dNzv8AjySZan2lY05GDsGkFGedAerA2gawEL9MYScFoIDzeRqvNtKJ70GGuczPcYpF2Cex/qkGxFwRHBXWNACLArAnHZUsvyfTzH2w3Ca7X4oUowbbKsdnPhuyTQwz2LgHXAYYmCyZ+PdS5d6MoWhzSB3HboErHDty1WQ5j10easMaBFWaNoX0j3k5AZnIewwAxawzUxSqzqP+nWyThhPOEbbbe1079LeUbZSs0WmtJlCm6nWPtnDM2Iq7u8dYnj3CCy9+GaTAyLl13wQyd9hhh33e9o4AUH7n7/yd+LZv+zZ86EMfwvvf/34AwC/90i/hx37sx/CjP/qjuL29xV/6S38JIoLv+Z7vuff91157DQDwnve85w3v9dJLL9Xvjx8/ftMASpbrsMMO+yKy2qQF+2SzW6zbU6yXJ6F9IhsUTMtpQkFJIEVjg+R+g3TmzVasfgvxZ3BsMNzBSXnPNMKhp3CGyhmWAoq1aTLEsj45Dw8CPgbbYgOnjXAF9Roy5GEAOwwlgQDMMgANIEFaOBixZWb2Co3wmqDk98gaCqvUmhFGkXH2g2ZvHhT/rV+QgIWaRPiAxglewBThUKkqmgs3o2HaGrxOKrnxzVD/ZNJAauMar2sRWSBPiqM9TxAoFBZtBEVrN5HhQxLgoQAlvxvAUqY5ptbJdCpKlOWB+87OFsstZBwgUwnTaSF+kWmTx+kmIgyi7rO/wxWchEzdOhyGa5Dj2tKZ1PrszsF/7vfy2vy9ALRkOj1Pkm0uV/47+yzmkEr0o0uPstDBUpwqVCgp88YwJZnqmnySAoXcJ2YG0DTnBMPXAIIewNajb8YJcmbcafycXrWJ7+5f6ZJ9HQCPNGZ5SRHTJcAcd6isZJ48Q+9PYdstzJ/BLcAQeIazaYifWodIhMUFGyXKENfocIbVpfMGeAC9DMDJEvfUpTAnoAlAAmg1ACrJItsK5PV14yBO7SCHNImXTuDHnKq7xpLButORJkthmZhmshTANJhOEULVa/xLgV0i1ACRCJUQhiMNDYu76G+JtcwAiAbI3bBU2J9eTyiktsikVQJjiBhGObJe6XjP4MnrTbdpzIRFaEpgyuRRMZwq0iZPyIK0GGMSgFcxVTxSYwvXQbNeIFjeY29vAtiRYIHV+CoR5hlAGdcdqYEHMzLaWKEtGBdxaMBwJs7VrW8FRjcK+mqLbHGtgC6G4FBvpbriqkaiBStHmcgUCc2kAU5c98PIIkRwVoG2AG4r7tYNyxKaO/EcWQDrcGF4neZ8yEx4sUoI+vScyPIEuNpaCwDXNjx79iogDV/6W6kftAOKCsJ/uJ8OO+ywt8y+4AGUb/3Wb8V3fud33qP/ffCDH8Sf/bN/Fj/+4z+Ob/u2b8O6rvjrf/2v40//6T+N3/bbftvus7e3twCA8/n8hvebAZNnz569BTU47LDD3vWWJ9IUcuzbisUDPEE6qACADO/gaaA0FOOAJ9rmFwg2QELUERJZITo3d6oLmixQOaHY4lWOfNVxHB4GUJxOOcpJjA0lT+emr9T2Usbplqggk3yU4+6T85ziez6FSaTjuDslDeZDCXX6BvMtvieCELZk+lSwrpLsknGNoYsgsApXCtZHhZlU4d7IW8nKJ/iReEeLQ1VxiCxk/yiGs4C6n5lj6Kwwpee9jnrefWcb7TYDQIMlgfpd4Peek/O15d7GOq+7D7XYO2sPle2Be9xv5Hv12ME2V+E7w5F8XvmvrzucydEec8YmJ7g0WEZDZJZO/QQUDTcp+3P8/TqsIf3TwTzp0+fyNNggLgQiJmZK1ZkO2C6MhsCDGdqEJVU4BJ1752cDcMnXBqMAbHy2VX2DAeKA5j2n+T+F7yRoUb2VcxejrlZMG4w6yehfZzmL3WIbw2M6MsQtnOxI+T0YY1MRcunyuK91i3Upp1AyXwqAnY2ASi4Y00XJHag2cTfoDkDZ2MZWQWzB/WlwDaB2nyZ+ACEBnjgd3hmMyjLYWIs9+/QKXJivPRZSXmuq4TTnVRViU7lkCKMOBorsmrYUlIrVds2i0glS+Cwdccn1bleJK+OYQtx/ZMxhG8io4whjydAgL70l99S+mm5NQCN+Jisxgd5xf5nGXaTC5hjndYfA9XW5c+6MzxG7hmqAqb0b0xNLPNurv1HrXYnRaoZVzoBugFAjlA11DxFH7xes6x0yW1TN0eyt5z4DDjvssLfSvuABlPe9732v+/dv+ZZvwd/9u38Xf/tv/208ffoUP/zDP4y/9bf+1u4zjx49AgBcLpc3vN/d3V39/sILL7zpcmaY0PPsE5/4BL7hG77hTV/vsMMO+0K0+ZQOV787pK/AdgesT6G+coMezpRC4U7hQwdENN4TwEFKvt/CcQuRS5zrVsiDoG+xCTyfX0LTR2h6DtHB0hLILVSmNPb4vjx0ihaUfBHAdat7BIAyh4CkQ8VUx1PITvhBU1rG2YEm2BLO6xoOIrZqs8yYMZfJeqQI7nnC6B2n5QzlKXJsnoNhkKedlS1h7LrD4QHgpeECSDmDk97M64IYswORbKEzBMbMRqdKRRt07x4n7p5aI0NvYiRhvnKiJ8dz3HPWF0hHIWP+s18kTt8x4WV0oJQ/W55i7jQL6JCQnRG3zUwXdlWOh2yc7l7bAGCA+6e2b2R7x2TfBw+BOXMZO+rQu1rjlAhAhQeEmG4CD5HBInkh/ChtgHF1SYBjdYB/o55e82jfNpaSQdP7M2CEYELYNmUuCQZKUKdSo4XaRHmqD0PvdzC7w7Y9g9sd4BdAVoRmUWQIicToZFikw2YO9NT0SCfOEaGCU7mytNZDNFNjMIkb0DdEGnRjmRTixqwzOV4NsLU0WbxbCLRWpqUlmAUMzxMghD+ZI90y3MEdfevo24bWGsRbhNNowBpK1l6MmD2AE8ySnHccj22AKPANYmQj8dX7ZWKgRF+ZKUwjXGNpUpmUci5UWNKU+Sgc/B4geA1XD2c6WWQzUOizzzuH+mVnSP0tHHJFhkFCP9u5FpcxcM5SEDfCLAPkUcl7XoOtb2xa4Z0D5NnbuE7vG9b1AluW0iGp6xClHOsKGYhmIVRb4HsCZsZ/o1iBXBh3wOb1+hXSPQLGfE1zwp9b5Xg0JXgWa6q4o4lg9RV3l2dQVSx6A9UXsfUNZh26ZL3JxoIGM0wkxk+FpOXzWwCGhgIByJ9Owrn/FJHJKuqVOkGiD7EpDzvssLfDvuABlDdj3/3d342/83f+DtwdP/mTP3kPQHnve98LIEJy3siePHlSv7+ZkJ+0r/mar3nTnz3ssMPeKfbQJvB608oNmBlkvUDWO/jlGaAd8x6ysnF46KAoMgxjhaGj+9NwhnyFyAYRhyqY9nHB5XKCu6NvDl0yRj8dYp6uJxODLIn9aR4Qu3VuzyYMIe4jCLFbUq/FmG3njGCGK0QjxCf0EAzoxqwzwo094/M1HH/xju6XclrjdPPEuqUz6szAo4AHsKKiUD1N+iVBp/bUVIDCLKCJqKvwhHIGgGZ2AgGeSVNCmN51T+/egwiqcZIfWiWkyAsgaHEiXSfKuenleChWyH7c+FSXEdYwTvRVMvRDWWRHt2RMjDqZg04rHVdHOMXG+6bjlaDWNS40eQeR1jreG2yh8TGHVJYjKe2X6DszhqfdAzp8fxsZjKBoP560EmWIk9xow50AJcseIMd8ejuc/UZdiBGCIAUmJnAmFE0NgCGc/LWvrGtmi1I0DVBsOK57b7Z3C5BqIhS1RsenAL0IHcg559an9hlQWmpOiHuBBwmYhZi0B8gSQYD1fclwsXT24FUYUcB7sCGwXeCqEKzQ5UzGWLITHGgnju/OfkwmTWobccwS4OnbLayvAYpYD1hRFSonQC3WmwTjDBCP0elkAeT9kxXkRhHeHBsSII+xr6wHyBvgFzVoGu8hjrZESuhkxZg70EOnJVI5c2ynLoc5Q1mcjqlBPF7uU9JrXr/qkvpLRuFv6Vw7HELx4ciaE2XtFmK5gnWstbX2GTJFeU570Zj3MfcXspuovaJAhks5EA5yhedEKM9JHM0612eZQGXUWhAZZRrnGjEDSWAw2YIcT9QSMusYGcMIRPoIzXHxGk/KkM5uMWdEUam7M1TLyXbJOZepsyOzklZ4a863mcWSc20GWYr9ODFVAC3yo0A5nhIkBtdc4TVjvRQh+ILxvlWo2jxnYo1Q1wAvCITlPN/WC6z3WDV6h2HDsgDuhq3HYYpIgLoJ7MXjhGUE21tz/UGtReYbnOFp8A7rK549fYybRw2nR48wmCjXwNdhhx32dtm7AkD5iq/4CnzZl30Zfv3Xfx2/+qu/eu/vX/M1X4Of+ZmfwZMnT/CZz3zmdYVkk0ny5V/+5W9a/+Swww57t9oDmxHpY0cHQeTgRZzurhfgcgu/ewo5d2RymMEEIMDgjaBECM8Cd3C8WmwGtxBLPekJqicspwbVG/StY9vA9Ip0xFOAzpkSFOGcQc51Pjv23OMUXNo4LWxN0RrgHularW/xeRU0nMcGskVK1M1WpnRMRogGJZ+/K7PSmBpsu2DrTynGuJDBcoI2YYpVg3eLdkToPzRdcHN+gWlhAU+RT2SoDPVg3ODaw8GHUltm7rqZNUFnKBklkk438JDzn6mbnVtcQaQIlXT8naycuoeV45IwTbbvAIGSCWFkQ6S+yRhLpa0imbo5NSrqinDf6Igq8uS7cBAIgAVaXseo3nDhOQaA6Xt7kAL5iQyPkQZtCwV084QY5eDKfKGdTWyccoAGoFUZmhJE25UR5XBl+QK8y1NcBCsKLcC9ueUJAEiG2TBzjZB9tW0XXsuxLBosh3YK9tBV+EOWr3eDiUF9pCw+nRrMWzg4qnRkU3wUMGyjj4BySgMMwQBP6FWrG+dyiKGaKKxC4gC1jXUpPgXHZYCS2xbgQ7cWGhE4QZYXIvQIAQJqEzShTpF1uK88hTc65uxjhuGYbbDtFn27kFWyxX1bQ2vUCVKOFwrIRrgb9Wka14+ZMZZZg+FQEaZ1Z0pq3yJ9e+e4MI6LLS4sAiwvNLTW0M3QN6Zj3hgStW0x6hwQnUA44YvjQycNCSO4IDkPanLQ6adwaDnsCVJwPTUzbNsa6Zp9A7DGGq8BoMS6aDDqM0V6YgSThuGAwSwL5KQwPBBwyfkjUqCTqOC8SM3Xa3PqQClCHyoYLAxz9F7pjkuPBDkUDb1vARBAGK4o9X4KHatqpBrWxiRPY64HWyfmRAAzMa5zLgUosKJbj7p4Pmdy7me2qjmTDp9jBJc0P5+hP9lGnGPukWI5LbPhRFTb0DtZlvNIb06wrJNlIipM153MHwC2cNhorBfm2C53EbqJOGBQ6dQHC3ZT71HPE048/BAMjeYOR4AjUvpOjswq57YFYKUNsA7bVjx9/AqABadHX4IAhnc9n611NSIOgOWww94qe1cAKACe+wABgN/7e38vfuzHfgwA8LGPfQx/8A/+wQc/t20bfvEXfxEA8IEPfOCtL+Rhhx32DrWHHG1wt9mBfoFvt3j62iexXT6Nc9ugsgFF404HunELE6eREed8B/gdRFa0JTarGRvelnASmp6wtDPEO0MG0sFLobt0KA1A6IYgNRFS0LE0EXKDy027NqgEa2W1lTokFzQ9BdtAyZqhF5K6BEbmi1LsLzbamU52g7nHZtvW0BfgRn6OA1/XS23elUp8AbDQYZ8o82a212bJE3JMDBacyvndZZyAkikzqOIhKJk72OtN5dB8yM38nMFkbEQb9qmJc3zo9BlBsU5yHAgdeiTdn27/8Pz53jzejE5bshY6Ss8gwbG63/R7XYIO96R7obXPHrR122VqQXgqrREsQbANkGyZ8oKR4UsP2m4/X3ANhs5G1rnhfl8874JjHGWGIpmdHIz5Ec5atneCiKMfugMwhXaH6ALN0JmydMj69F5cRyU/35DptQWdIGbwR1L/Y1c3GSf7MEHp6LA/3Z3shGncC6i5OwF3CeS5VNaOgPn2cyj1hnKMzU5plCPqPN5nOJp1SO9A71CysSydWo8wpFJ5Sec1qUYFqk5jkZm6dpmqmE7LCdoqFLIsEHF4dzQJ3adT45okS3zGJcIjXdA89IrMOrb1tgCBzBpjAujpDF2WSK41jdWQY5GMXyGI4SwnwZtkK/VtABg516xHWzG8CN6C3SKjfUWUqaVRISNjLET7q7b6fgE9SFCHc1yyLIBM4qr3Lds+/tWaQjyES5sovLXBYptYFhnulZl5ou46Dd1J62UClK7XrwR+jIAaCMyAzzAnmBwf1ypxsJbIODSb1uF5TmiBJ8/XfRo2h+YE44U/uWJV34IsHpeKttMap17jNMDHKHEeTmSWvBgzDkeH+QWqob/YOxlJmoBVhuo5542RbdSjvalFI3Bs28p1l6CfG549fQ3L8gjod2SGXqc0PoCSww57O+1dAaB88pOfxMsvvwwA+Kqv+qp7f//Df/gP1+8/+ZM/+VwA5Wd/9mcrhOcP/aE/9DaU9LDDDnunmddGhE5aejPpXLtFRot+i219Au/P0GSDzA5bnjjn6VylLGR6Y+8BRKhUZoH4XLnWUGlw5UlhnrylwzUxByTLhAxfoDYB/z4cqAbQGRE65uZMoWwr1TJZdQFyRz8L6NXBeW5kJ2ZCCOLaRPtmWaey9L4HJTSOFTFCRYZWyjidZK9MQEyVsajyAzzZO4XjZDJ6haEkU2/PP2cx0X3qWfZKnrhmuALYBDvwZAZWpnvM6X135vUZmd+j05fb/sn9K8HB4YIQ8Jr1NwjezGFDTicfPtfP5ivzz4YMLcj7zG0zl/yhbfs43xjleLD+MmuMTFfy+SOTTgTrYAzHiL/rKEeFC8zpZfnKUA4yyswU3UJZw3UeE1mWqZ4c/1K6HvO6AJR4soXDWOjAdL2BZUilBE7QoZxTz/VnXkNyug+AIrVbwvFlGFQBkUO3KNaqUFfR6sNo00b9o/SD03mOOlCbpUCJagS2bYcZGXY7weRcy+YOA+8huDdgMkyCoSviznC1ZTAaZCnGWbQjQQBnmd3hPdbVABs51gXAQpDrgb4dqYqtyhLlH6yoKI9RABd1pRxXw6GPzE+1fE5hb/dBxmTEjdDCoXszF3GMNQfTDlcfjjVj/lIJTEuuCoj+0RgBAxyY1tYJbMhLRhjjYIc4QRQTh/RONshgbolkqmb+p54XnHNk9eSadq+uoyjjWWO58oxwGlYMBc5dX6Cu49Mr14LRaiMjUMxjITskGTx1DbIYsy3cpYqQzyctcC7upQqcTgtmEWXzkdYYfGzu2X85L9n1ZPmBLBkRx7ZesK2X0CXSBW8GSDrssMPeOntXACg/+IM/WIvRN37jN977+x/9o38U73vf+/DKK6/gR37kR/DhD3/4wcXmIx/5SP3+rd/6rW9beQ877LB3lk3uAFL8EIiQAOCC9fJpbLefwnr3KSge49SehcDflOY4Nl0RNy9CQct+QYirGpo0NFW0puipa+EG2IbeHctJoW0BVo/TRBXE0bnXqSS4ySv32jdms8lNK4h2KEQfhVNC5wQAbFvR+x22/gyR+vSEJuc67VsnTQJQhtNSC0QboCGS25lNp6MXVTp08jxAICO4Mp3EhvOhzHKyQHCG4gxhaI8K0yLrYHJUet8MzxHh54PJMMe2z70Z8fcJZj2angfDGakMJin8WKNgiEiiQJTM/kOtGDpBMmK4puungzmDG5g+N+kSSIBoxqwd5VgnCMGxlcBUUdcBuksNc7YPS2AtBS95vdzs78Vgw0FI5pFQn8aM7arLSJf8psyRWU7AMb+HidLhzP57PRvAVDpYHVs5u3XSP4EmI9uMcQ4GA8VtQ7eNTp/BW0PzJQAFub5nhm9hcgptgAQcV2YUJC0QNeo3yr3Q8Uc4ZK5wI/CRY03SacPw4gCIK8Qb3BeIn6JNfYGZwLYN1qOMEXp3hrQzhCEYW2f4IR27EMA0NAGkjdABs42OZTjPbvt+lnRaAXTroWci7ENN7SWhzhE/l+E484goH5KhPg6gRdYtSKwVJoamJzRdsCwv1vxSzi3ZD1nAHd1WpJhutb8D6icECHUFY8zCrHOnc03KMDRzG1m3eeXBT4j7NA1wx3s61RkSFfewfG4US2fhM0UrLOzemiUZpDHmrnuwc8ym+T9/AYK2eIVNKYEP0Vj/XfJ5wLUhm4nsE7OtQL5IeTyxmGChzQTEWNEzFj0BmVVnWk/zuWRknsBiDZqZbjkvC0yqueIUjnX0Hg1/OiULienJa74oxhzb22Cf2E7fJNJAA6YRYiWLA5phVV4HFgkUdurCqAbz0Dz1ZTgGdK8J1bthWU44nxfgWZSjaYNtlwg5s8gw1VSjHJbAUujINAfEHOu2sYqhiwZ33D55DTenF9C3W2h7dAjIHnbYb7JdH7N8Qdkv//Iv4+d+7ude9zM//uM/jr//9/8+gMi28+f+3J+795nz+Yy/8lf+CgDgF37hF/D93//99z7z0Y9+FD/8wz8MIECYD37wg59v8Q877LB3k6XuhUumMQC8A3aLfvcK1mefRtNbqF4geoHIhtInyUswvacqnTemLnVMp4vUJYiMNCu2LV4RTy8h9jqnfwWmvfNw1vcnk/PmOkJymixQhN7GYJRYbXSt9xKLLXaCJQU67qWTrkvcfqRzzZPpPO3L+PtK9+leDtaoO2pjmzogcZKb4QU8HYyjQmRaV7MQJLzXLtkqks5Jto2xrnt2TgkkpmitX7+8Tk9fL1ND3HM6/ZUEd67Bl+yv57zy71c+wb68QYcfPyeB0ZklVKfJ4+h1fzI7TkDn76WDMj4z2vBzsWjtTGs7ypyaJrvy1v1fr62yXtiNX1z12/3+mcpEkKD38QrixdQPVwySqxuzTpFtKnVDQi+CTpUxJIGC02NeZF19329GbaBuAZTyp1jWPDkrEfIBbzBXeL6kwcniyn7vfcO2XXC53OHu7pZZB63Wlnyxo/bjIO85MQ2K9WLZZvM88SphON/Z7llyjFpwTEZesgalDpLqAm2n0N7RJcR5Wws9jx3oCYzU2FGX1MmQWmNSL+PeSGC5GjNsLbtXsXdoUdce2VRsnhec65WprNU1g+XXah3bv8YYm8u5Fy8VgthTmA3ZMLVeP+cVgrrOppHBkHAEkG2GbdvqORPfsQnkHimaq88nQKLbfn7Vb7k+2chQBp+YkK9rBIJjqoSmD8WRE0AbQNO0nl59fxSFQFOWHQSJ5jUdyWCT6bn0wLMJmXo59G0yrfnIBjYWLs33FTifzgR/xug3G+GH1wMzhnOUqwIKzfOxBwHB3/USgFyFU75ZQPuwww77fOxtZaD81E/9FD7+8Y/Xvz/1qU/V7x//+Md3jA8A+K7v+q7dv3/5l38Z3/RN34QPfehD+FN/6k/h677u6/AVX/EVcHf80i/9En70R38UP/qjP1qL8fd///fjq7/6qx8sy/d+7/fi3/ybf4P//t//Oz784Q/j4x//OL79278dL7zwAn7iJ34C/+Af/ANs24YXXngBP/ADP/CW1P+www57N5mPA3RHsCl8A/ozbHevYL0NAEXkDtA7xPKaLADwS8wEIhobINnK4c1T7NhU9bHhayEseXNzw0wH4F6LO6k68bp2KgfzYLxGeIRiGRt6RzETYlOdWiuRhabSGdeGc97kDwAlDqbpiDOGPXadjObODBT0HMPJAOsdIo1wUFxPJ8CBJ/zIsCaGN0iCNElJN4zQmvoKMu1xL6ffh8MuswDf8GidYqP7TelwYKZD+OeOl10ZSiA13V8KBE59Ikn9l7YHxUZOXFTcfG78JXVtMnwpw3yuyoHMcCMDnbgGZq6BOJdKuw1JXlP+Lft7CgWp67zeJj7AhixDfFSHhyJZEHofmP49wQb7f4OACeKEXznWp3Cla8sQkuFUAd7JWvCQI5aJQfFcx6TaPucH5w+BvcZ0u2A9Q+PBq58GaoQrYCtDSZTzL8rBrMIRbEINEDB1d7K9Qo+i8bUgw4C6bejbBttWBJArOJ1fLGewqsM+HM5uAgSjzXM0FBCUWUV0Sm2ezmUhFz6GDwHUHI955YG0DIaWSgqSUs8lM5W4B5NC9mtdXffaqa6xPP6d7azDA77u4BofAMjQCGBBlxNaAqWsLxIsNccIn2pstWl+i5GFNNa56zDFuej51qxFVSLA9sAYF4nM1gmc6AAZxEE2Riew1kvXpLXGddrHEuZDDwUzGFj9v58bBcZCEJoeGADK1eseGXzqn3xemLPdBcU82Yd2Tn1dz5dh+SzdgSgFiIx5O4PegGTUWr1n8OgzHZ+Ll/OXCOvLUNrQFos/nc8nmDkul0sVNXVm6vmd45PzKYFblZjfcJQ4uIHs1PUOi62AL4g9xzSHdvYFfV5+2GHvOHtbAZQf+qEfwo/8yI88+Lef/umfxk//9E/v3rsGUNI++tGP4qMf/ehz7/Piiy/in/7Tf4rv+Z7vee5n3vve9+Lf//t/j2/+5m/G//gf/wM/+IM/iB/8wR/cfeZLvuRL8K/+1b/C133d1z33OocddtgXp6WbFMRxB3yFXx7DHv8qZP0NLHgV2/oKVC9Yzhu/Q4Ai0w1zq2S4g8sKyDZ2aBCKrm6D7i6oGP/b2yfcZk2nkhobzG3lib47dBmby6BZJ/DgOLfcYClOp3Nt8E3WYmOoKk6nU6RPrpNmlGMr7jg1skM00g0LGqxHdpDIxrBFutVusC4wUyzLGU0XnJYbLMsJrS3YtrHxFxFEYqA88Y30jzNrBDCs2wXBXFhhvqLbHU6nM52mK00TXg+ezjFqg5pqBJlmNjbluXvNpKaDMh+XG+J+Jd5LoCp1bZQ3kHKs51CiBrVTAAgQqI6QgrhBsIOGtoqxrFWZ+pnOU3lJeYIKxaKR0UP1XBW23tHEI/ORcqzIOJEt4CjFd0UZFaVopzPvm0DH5OwpauztmBXPMbPo1+EpJODVgLbR4TgPP5pjI51Hh0a4wOQwh9OSoQ3RL903MqTS2UkAKdrXu0DRsMiZuqdRDrcGxxJBd04RSQ3W17mxPSXXAKB7hyDS5gbzpGPrt8yE04PiL4pFF6ie0BQVMjdEdA2CFYBBsUWmDetMWwss6dwLsSFEGIEsN2i2oNuCrh1NzzVGWztDdUF3wG0rsEAYHhAZeWJCxLozd1qABL0PcLctC4ShiB0dbhGWAzJKMt16W07sONldr7Up1IGe62YrQZqYm02kWB9OcFUo1CuaMQ3hrEY65cjy1fuK3i9Y1zt4n4V+74897x26LOWr9h6i2EtbphmWwFyw0To6h3f0aYaCGFPvKtNoK7TaQ88L5pTFDo/0z7rg0c0ZCaapLgSwIrtWMkKsWHrRbtoCRFpU4NJghihXD97TPXOPtNPbitUAbcHCO58Z9oVgp7g524zXMPIKl1asF62UUh1NATk1qEoBSU11AGC5mnmOrQQseD8PUWew3QrLbdfAL7C0U7SqNqy1hg72njDddjKjRJS6WhNYYhag4QT4AILGZyF1YdHNsG0UaBcwjXYNCIgDy7LEvTLcyT3Wsk6ATYDWJFIdi8TzyxwqBtUTHNEPi0U2O2T68JYrWz49uK6BgbLSSICj9goMl9snuJxvsK5Pcep3aLYQBX1Iv+mwww57q+0LWgPl67/+6/Ev/+W/xEc/+lH87M/+LD7xiU/gU5/6FLZtw5d+6Zfi9/2+34c/9sf+GP7CX/gL+Iqv+Io3vN7Xfu3X4ud+7ufwz//5P8e//bf/Fh//+MdxuVzw/ve/H9/8zd+Mv/pX/yp++2//7b8JNTvssMPeSTZctTp3BXyD9zv0y2uw9TXY9gRulwBFMvY+0ISJcREOQKhPdIj0cP4AIE/bbISWpFMv4tQvAFOlxkZVeajrEwizp8gPxxp5elcCk+MEbZSRG+Y84ZM8VR33CBp48uMp9OrCrAYDgEiVgXC0k8qeJ8h7Wnx8joXMkk8ARNZlr/PSCTatoQkjKexXF2B9Bj8nN/VsNr7nyBN+n3r6PoMnNq5DFNMLPBlCDFn3qhWG5sk8oMYpYQEEbOhg6oze21/L63MFPU0ntvTpqx/DqfDRluVsZDuMVKGAF9HF6Q4mgBKaNAlAZOHoVUxvVbNX/7HkV33teZw614H9G+yMfDP7cNRvvJfXtF37j3AgNgzr7D6DKNEvgoWZo/htTwd+zgaldYpcgygZWZjCVdwpwNwjza9FOmF40DsMCknPK8eMB4iCelEjotIuCyn7A6jIOofDFXPZlXogpbujaO3E+SmVIkQ1vqkeYqmRptuu1hCv/vMCiziW4CWyOfFMJjaa7Pra5gHBcZBZWTIEJVg4AXpYhrmJFIaYqXZzfhrnl3vq16x8bZXiWhPZk2i7TMcdYIaNqMpaP7Pt4s3Sp5HUExpAr4+hNphL7jXfsp5V5olpFWNw0kmilotqzCUzR7eOrW8VOhOMEJ36MYGlsTY8P/sVQy57MN0iZbyiRFxrnUvwFVVIkQzrGiBkAl0J3ifTb+7/aQhhonhURp3BPJHxmSn8ahotKDFXAMosNOPZMZ51CaLcAwt8HssPrEmSDC4UQyUzKc1rVI6FcR+f+rUjmVraUuuGVee8NpAlNQFSTZP5meMH4/k1r4+CsU7XGkDwpW/Y1jt4D9B1KFNf2wGiHHbYW21vK4DykY985F6Yzmdj733ve/Ed3/Ed+I7v+I63rEwvvfQSPvzhD+PDH/7wW3bNww477N1tM4BSKVD7M/j2KrZnn8Sz134N693LePTiszgiNsHIEZtXCEdPxOMETsgemEJI0qnIDW1rpADT2fVKVbu/MpCOrkxChMA+C9BwHOGC3tdICakaYQ9AbBznEz4J/ZEMP1FROMMjRJZI+SoLgaUIwVH3qlfotSwwESztXFk04IL+EO38ur2m8JYyCc0Hc8fWN6zrHcw6Wjvj0c1LMwSD1DFpCfikOC9FIfeW7Z7e0QSO+NjMxt/zlNunf/PkEwKBkf3giPClEYpklZVl6K+IJ8hAJ8cz3CfBryuUgg7tgIZGe42QqrntJsdmN3zSCZ5dsAzRkBpTIXJ57aBYnaJ6/R5OyOtbOIH3yzeuX+yrmm/3yzxMMbR2DIa1HCVHOnbp1CiADSKRGhwItkRD6JRsK3BaXsLSHqG1JeZHU0aTGGy7i6sKUxp7sAYSAHELFpb7Su0Jg+A0MvRkDarvAaeoqPcLAZQLrPO7toYwcztDLBzoCpmgg+YeJ9eijSwPOnG6xJjn++EQIzQpupTTOsCmfSiGV9eMseMAXGJ58+tuYI1savsaVBUeFBexrIMZYIbN7qJdRNDEApRVK92THN+9O1JnqfdbeN/g2wV9W4u9J5LsgqgT5YRhEGyGaFvpRDIaHAJtFAblGKyUtJy5jk4gIRghlgDAg6ESr2/BjNiibiI7veStd+rUrLDe+TyIVPbaJH1wtiVTydea9ZClRx56OmaCC1JHJICheqbVYyIBwvuipOXbI4AMZTvoA4D4GzHRXs8K5JRgbIzQGgkWSLJ8pmxZCY7tah/pnKqs1vsQ1S2hadScMukhIKvgOlpIGe9BRqINUKb7YHm659p21Q7ocIpvN12C7STAunIemwGNLKsJY4Uwxb00YDoIcBEsTeB9xbPHr+DFl74UWG6A9gjPHwuHHXbYW2lf0AyUww477LC3z65OXDFOVa8/V5/QFOjswN0T9MuruHv2G/DtKRQXtEUx9nQFi2C/qSHA4BuCrZLv8V7JVklBR003O3dWCSzsveHU+RCKpe5O4UkXrxSpcKBfIC4IwclMwdvixNYXACFMmaexecoI5CngSCkapYuTOLMOaVHf1iZ9D+oYoE73cO9EcCLSYOaElBaKgrH3TtdG6SLx5TqxJEb/hugkpuO9axAqwanJ5tPQAk5AzZRkxuT1tgkQAeBaWTMyS898ihtOy1bl0YkZEU6+7q/vOT6yjQSCyNo0tDKyTEM7Yj/G2W5mk9/H8CFBZHcBAFUkA2WfOWakh47rKWYGxp5R4DxhH+0b/49+i9AiOn6uRU93Yfrl/J5c9ZRPb+YYyjLAmB40szKlkz/rSwQYFABDsgyiZpFpBFjaC2h6LqcwDuAZiqVa8zDqy7XAPU6AM0zBElAxpni9bkGenKtBvMMkQZQAUvL7qoMtIJrIRY6x7Bqexuc4JbiREQ87rU1+vuruzhSpHP9evTUuNI2iezje1QgDsAPQPL/UvUCJCl3INiKTJG9gSvjOWE6NTFIGMIVwhmjcEgy6K82ZuVQZ9jVAQgWc4TfbBohCGirESpVaNdCJoWIwONRTCyr1VQK8fGP4ZAZgYw5nGNGyCKCOFOJOVtjDl4l5CxlcmAKgHBP8OS2gnCSZ1n4Pos6fH2UbE2uume/m2zXLKN7bh43sdU726/xnZT6Ak8bsTtlPxRZiWYrxxaIWuMIwKDMLhggAiI7wIQV678w8NNbQHBc26Rol2FKJnWpN44xJYHBuO8zgJLMXOchs46LDrEKqLaB5d4Znxt9Vp35yh8CwNAG84/bZE/TLHfxmA27mzES4jzUfdthhb5kdAMphhx32RWx+9dt+57GDPiQhFsaPb09hl9dwefYZwJ6iyYalnQN3kHGNcWUK5kl8P0CU69P6DP3hvooxOr4rSW54U+gv3R2ZUioKBVBnRzwAhjpNwxYAChpET4iT12SgBHgCNJ6eS5UJklkKdAJQrEAbQ0dDaC1oa/T998wY3zXsw/3i4uneoxxEls3LgVc42SWOSLFbTTTrmVTYRnXm/VtevfXgnn8CBIT9FPdgOuXqj2Sd+ASgpCXIsFUZbfZ8C7gYLKLhIEn9FJ50lm5LsZPmus4OUjqsVu3pDDMbDonWv2scyHXbZTkmUMT3WS0A7E7x/eq7oQfAMAKZQ5z2oSF7Z266SiErHMseoR27LEo+u7gZGkLgjw7MCD1oIeXpQNMbslPYtgVMCaQpnZucqZkefIABEXpjBYIkvJHZMzTbWuL6wvXAbIPbCutrXM8CfBNRXvt+oIbUnNJCN2Kd8YoS85G2o+67a9UCvUaonwMBRlZf+P0hMPfI8NeHA5n4Ra43iaeRKRTAjU2/B1PA84MucKaMT50UwzbauN8xhOeCEZKS8ybZD0KsgBw+Q2iG2BasBETa4Ujnnlm6gqEX1SW4dMVAyTH3hg6qZP19/JMZi6LfWjCYGDL2umYGV0UKc6S+R4m73hsd0cu7UeMJbmAANsVEwj1gZGY9ZF2EA6llCMwUe1IlSUDV5rLdb6x7YTcPfowrPw8GRj9d1dZDx2SXvQioMs7ATx42JNbemd6799SssqHFY5R7njMuTc8vn+bG/UcGnz+QmsMhtsy6aK53cwrrmI+hgTSvgygwzOFYFkW3jrtnT9DXC7xvkN3z/kBPDjvs7bQDQDnssMMOA/DGxzZ0lP0O6LeAP4H1V3F3+RS+9H2CFx69iN4EJoIuIJMgnZopzEEcgl5Mk3H1oanRNE/AhClQ/YFN4+QeZpYKocStOzeT6cw2OE+uMra720qxO54O1wY+N7V5hJ28cSmHU6UVFbpObVUAc2bxGSeajalHRU7FfMj0yPusE9f9sGGEegzuejSbQHBGU+C0CG7OZ6gssJ6OYGxcc6cbrIa5fgumPCLVS/stcLJ8pnAfOhn7Is8ARoRxRPhLY1lmAIWMBTq5Vb6KhyBb4or5MVuMgzaApR0ulCAMcD/GIlkak7BwVVdxWpY47fektg+H4xoCyXKbh1irY0OG0DgzwWjLtpOpT8acSKdsn4mDzlKNC9/f8wHfoICbYqJ4nRrDQi+iKfU1BAH6JQODbaxtYVlQwNTIF5pjaQBQ5hsBD6uiAeBpu8AtTrej2pwfTMsNSIEoJgEUKgwb1rhuz5Cg6K8Ko4oUJOHsRSOF6CozYhWrQztcBGohiCnUHIIAfU1tjY7umQloYm6kLkvOjntDifoQZGCEO51jbgCJSCeT3wgWCmfldEofDrYzTINMnWK3URskwR0CVNX26y3ZPhvxoXBO3YFt69W3YgRUJJkGHWaAWKQsBrSc5TH+RhxF8bmuHHGViU/0IMg42/ibmVOstE9reqwHy7Iwy5LBVOEe4rvCdlPzygAT2YCuwXXU9RCjDoDMPbxfjRwFDGCqi8xrLcD1aGiXiEix+oLdgRG6VUyOh+qf61myfeY17hpo/uwsMwOhnkscS4j1BGzP0k1RgppwdBWYC4WRox6nRSpcKy0BYr1u7odLhHouELQOoeqASABhqmytUKMK22J66JZtjVI+QaZ/XzTW1dW2YGH1OzS7ALoAcj/86rDDDntr7QBQDjvssC9Ke/090P7UzjzTEjrgG+Ar+voE1p9B2xYOQJPYvMwbQ89r5StZCnkLRcahl0irzBtcT6+silOO5STomaKEcVo9bWKFLk/LU0KyRIzOLjfryYFgkcLFo8OZOgvJjElxxqxbhU1kKAPSeUpnIzbHWhXLjXZhIlUnEVADZmzaB9gwrpkCoCC1udEBGgTuAVTEP2dwLNOG8rMlvJeb3XFqOkCuPAFMtztO/Oft/kjdGSooAxSZQJhsx4QkMlyrUIE8maaeSX1/f/doMzqImAdMvOd1T9nXweef8yifTpoxZQXahSrJ9IlpPCOc2mQSpDZARBzkmMyxPRymXZGncozP+fhfXhAoIUVHglkphDv6wQk6ZnLcAjNlnzK26iT5ng/gAumcWr18AmpqvLBPSv8gw35gELTSIplFaQPQ2PdF9hwrwXqwnj76PUOcpOqWPc42swEiCcN1QEfSw9Mt1szQ0MCovxA22PXL5OgKx6gy6YfLaAZ4hNj4PJ6ABOV2QS9cP4bz7lN0ltffaz5nWxGkrfslEgeuKXXteQ0etyxmCtlIQ9w6nE7LzCiIUL1k6AjHm2b4V6Zyr2vhvvk8l5j+nOEjksyv6bMpCpxZbeK5s18HMiRmsCGmtgFQjIv8X63BexbGDr+vLvD69xyu5fO9AwGACVmHGfo19WeVDcAeAKYoev07wRO5KsPuIciy85+Wa7Y8fE8zmCfTy9keCmUYWLZJ3r76lUCQ8J4J1Gd7WB4MwAl4ZJEHvHw9BMY66bu2Rb3L601sJrf5GTStlQW4BziY6wOg6NsdtssdGrNtpXj91Ij3S+e4b587fnXYYV90dgAohx122BetzXsIuXrXp3fXbYOK4WYBxDZ4f4Ynr3wCdvkNvPQeoMszPNs69NH74Gik/aZl3H5H7dB8MCtSpNCto8GhjVsy7+hMq5ib6PlUXooyLWgMpYEo3IJ9svbIBiQAluWGp9TAtl3QN4MuZ8Bze0savwYYozgXx6H3O2xbR++G5XSD1kI4Fh5pLNd1DbBCNvCgL/Q0RNCklcMyucyjbRjioLVbd3TS5uvMLWn1iHZoKsjwIsgJwA0SmEo1lkqbmVTytjBCIU8/M0QDAFkAlYmiHLI8NZxLLPWZ3Ggj3aukHDDrR1wnAYghhDnG2Bghw5EimDKBM75zwrIEyWgQbuQnBxfDKYjvJyvk/mn1PP7dO4s3XevhCVLld9zBcUHvtzDr6H2dPhFpspueilGQjmuc+E91Kh+T4JINB6x3AnRMad1ag+eZrITgp6pg60HhN9tgPcIHpDUoTjA/TZlZMpX3VLF0lATofoH7RraKMzKKYzPDRRiiJghmi5MVBD3FCJsOgDOMQfSEppG+W9sCR4etkWnFjUKwsgCLI5JqbEDq4RSLRSFLzoTRFSFqGmtHXy+wLZgW0V5aDARdlmrsSLlsFHOOcILKeNPS4WoTWNMI8GhoG6mjwsIs1jfxAFASRIE7LDCPWOlEoUur8hvBkE4gRB1QN86vcCojDDCvJ4HjdocgFbY1sswU64XsL46RZGwYgNCoAZbTCa2dcTq9EOme24LTzU3oaNw9izTUdoF4sMmgEWLRpKGdWrR5m9PiZsjQ8I4HUC4QbyT3RAr4Rc9o2ujnOrx3mCdbItJ0u3ilSw7Gxwh/jDT31PkhIGa2sh8b2rJEqJEDrS1obe8Zm5HtwBy+CrIzMLCJIZNCsJ1zZuvJpIyynk5Mn5uABoWkOz/X2hB9BQH+NomhJ9Dj0xy8fhYXwGKGdesllgweFGx9Y9phK4Ffby0YPaoMMw0NnOJzJEtSgFNTLAqshihHZi6SmJebAesaGZ5EBKdHj1gcg/UJUJ1KHMNhEksBOI/bNG9jZoYmzoLWNDLquKOhUZsnwdYO4MLQ1g23twZggeIGd09egXrD+X1fzsfl7No9D9457LDDPh87AJTDDjvsi9jCSZfpX8B8XhN/O7dI4am+wdfHsNtP43L3GXh/jEU7TCw2vPy+oc6HUY5zibrmHXLDNWKeITbuXfvJceo0Np3z6Z7XqaSEfzNRzUf2DUF4KKoObz6daKX2AZ1vEaguscH0EL1LlonImXtZMk54yudTGcN5H4KM162drJvrE9tkEUg6It4T4UCEPcUX2s75doQmCgECC10RKaduWGWFmBk9LgWCCI8UxzY4Tn8zUKHKyfLNn6tfkQ4VMMR+gdJL2dWZAFEBNNz4c6zERnsGM7RuE6mJef0dhcMnh5fXnnVB4LsyVKiQM+xr0kcZ4yKdz31/pfOcUfzB0CJgJAJltpSRgyjnhOzxI+HYLXCQQBSMqU97gRb7QTOxiOiSqzAsg8ykoMgvAeLUvFA6L2O2jsTW4YiabSHcGFUJ5hlAhg1DZdiedaLdEnAap+UC4HQiYFBhHzFOIyUswVGCShFR53B1uCHYK6qAnshaUaju1yupNoh28wJrO8sR3wPFWZ39cTU7sBsY1WPTjRBMoiGgDECSAROXCPCk1xwbTj7KB1aydLwpGlkyST0JMCwdbi0mT2ac8c400TylT+ZWZLMhkOXUt5jYA2NdyvAboUh3q1CcbYvQoG1bsW0XmF0AXzleTsiQthS7vp8ad2aEZHicjvbhPBNgjMXpe31K7zwzOOYhvxdnjb9XSBZDttxBNo1jx7TD/jqW0j0AyyWci/l5i3WBZc/06sZ0xCIC1wHwAIjwTc6PAm2LQZL3uO/Ixy1H2w1mIke4D25h732sI1fXiP6IcpvI1De83oMgwsio1JoEuDQvNRZ13ratAJRtC9FjSzanRZsup1yzr0tVIwDj2cF3PPSbzA1ikVrcMn35vbZKAfMIMerdsW0rLnfPoPoYuHsag2u5me497nzYYYe9dXYAKIcddti73PyB34Drjc6chGU4KPHmWfmbr7DLY/Rnn8G2vgr4U7QWAAqmkzMXRDrfuquj4JV04lNfgTR6T0FKOEVaud3y3LDOYMS8q87PBJiSDl3QxONkurJumEcq02QjyLTJckeGGjRdqBUQ2QfScYz9r0zOuyHFdcf1Jq2Rax2O6d8T4xwFJmTNyjm6DziJKpq26f1oMzOD6QhNkgRHyG6x6VQcsxOIfG8eHU6sIaGIUbaRGcineqQzVe8OIAhBc98n+RluL67ree9z+zYc2YrSsZjHRQoVNx4ID2HVycW4unYANOFMWd0Du6s+YMnEAFPFTnhZgA7CnwTlCtjJRqNHzXngZFH41B9uU/klQ6MQc2FO6e1J0yeAEmqtBFAyTGP23XyEAmTtxBEpiKmxQZBPVDgWRnlAsDNaUYejJ6MBhJc8nc7h4JP+72QcRF8PaCky/MSWzMwDTNEGaAPaKQAQETJf4lqp4RCDlKEtFLGVzEpjHkSSXB+mMXqvk2dcMtsE8sDYzfk6/SHn1jzPytkHWToFZUR9NRS33Qe40VLDgmyYMYY5t1PrIuesgH0fIFGAAXp/4EoCEnFvTUFhgkXb1tFtw9ZXbH0NRoevMXY8AMxgM3DV8Zz/V+sGx2/pp87rIUY967ngY8yP9NQTYDvNxQzN3IM2VkwVINb90PHIzEf3Z+/IjjPulaBO/b0GRJY1QRSGh0EAV5gxtDWfK5aC0myH/HuLBWK+x9xsI2vcaCO/LroHc8bqgGAOoNkDS/dDiZ5jrKYgABQU8DK1hXk9C0VCoD0OPXw33M2A5tNCMx5r49/31niW3QzGEE5FsF9ErtfieHYJBAsB2807tvUWFz3D757BlxvM+loHeHLYYW+PHQDKYYcd9kVgfvXbfCK0/22/uclNugHbU9jj/43/8yv/X7z2mf8XX/nlG0+jHFYx5pG5wuBY1KHukFAsvHLSx88Q9ezhPHKTtiznyvawrYZt6zid9myOsDiZ7dsG8KRc2wkCRWutgBin9kmCJKpAr7SfZDHIApEFTc9Y2iOs2x2dskGvLmFbM8BXAD0AGYwMBgFOJMAxgyhtbCBLEyRFbQUZ5uKTdktiMkOw9nnbwWj7JpEKFx7Op2dZAQyNFgUmWUW5l/b4+spTzD43s1qfDwAhYu7TR267z1Y73Ct9Hf8m/IJiiQAQ2dh2IXg7HI9kUSQraQ+suQuWdmL7dgArQqeEAp+5qb7ax6cOTtxj94f7erQAAQ2PUC9msfGqM7MuoUHlBJEFggUJO1XmmioE21MDdCngxGb2CVtqp6HQ6L2A6bYdJ12C5u6AyJkAxwC8MswKzmw3YpiBTOsrrHdqJ8vAROAIJdT8OTVWAVTZJ63+LnQ2zTtDi5gSFY52SqbWAkgn0CnwxjCUyLMLaedEouDY0pVlBpZYn7xHSEC3yOgDOnvQEJqN8ImhbSKuDLkZwppjPOXnxkAYkJ9P4+h6oPAHPcqtZ/phDNkKhqO01iAaItktdY8EtW4RsipHHOYM08gQryhDA4oBKAggRTXXvLwKVx2NEavaWAZAl5hP63aB9RXd1hIhFkvtXq8Utcbxe18odbSDm2NbV4I0Cxb2pyjXZJ21iazG+7Yl62tmMcUv5n0X2rZ3kGcRVqk/24PggUS2Mk8NDYJkyGfFYGbN16scdMUsimeda4xpgUQI3QRyOefKwBXH9a4PCHrqJ5lhWTLb0f6ZFwK8KVgdortZJ/fRLwlImlkwt94IROAaJNpCmLlArgBQtTUs7QRvbbC6prV6f6HnARcJdj9UFmqJdaAtZ7gL+kaQFQaRpZbJob8UZVwWwbZd4HiCz7z6abygC1587295oGyHHXbYW2kHgHLYYYd9EdrkGOyo3tcOAenw/Rn67St4+sr/xt2zl7Gtr0DlDJFO5zJo8rnJHCEBQGa2mB2O4QRyA42RiSQ1L65PHoHr06j6I0rEdXfKmaEBZCrQD4k9rACW6XHHBjqz3uSpbIIbQbNX5Gl7psIt1srsTMlU99HKuLdxvMaSHvi7sP3CWcxyzFke4r5xxzmbSzAgIs0xGTIJIN3b+I5j9wdxgqt/ZZmqQWfQY1fPGZR7CEAZzgs8wZPZMaVj5Jae573ywhOwyvdz3DBLind4ZkZ5cMOfl5pDkh748/2GAFKrQsY9x5hGjRXNscjypYDxHsDJPpJgSOzYCzn2r5wStqns2sUJvmUowNRWNQGS7bUhw5Dmdo+QoSlkrso5gQe70/P7abJnxob3DaYywhrMI22vgOBkXlqmOcrwlQRQNPU+APNw3nbAXn7dJ8bOfBJftZnLyXbNdrwC+UarziDK7CDOr9E+g9mQYAMKYIzOCTAn6igQ9whZQGA8qimyGpo2SEe86jWEuO+vNE49ozEiku2Rv89jVkZx4rsYYThxAcH1kjun6H1oOQby7/FsaNrhBYJixyqIapBF4gmsgQyr6O/UAw2Gxui36r+qS6Yj1wLORxrh2RI8Gb08X2OIht//rrPQ1yyPmiQ+/+RYMAtQO9dqmcdgNnW22QBeSrh899n4jDKjzpwVSPj3Gbv4XCCEWN+lyhSsqNCVyf6L+wNQBgBa8kIYxidXBZie7Q8+GvP5NH31OY/63XdGWeL7d3fPsGwXfnBmmk3j+MBVDjvsLbEDQDnssMO+KE2ud1q1sQgnKzZvF8AvwONP4NlnPoH/9f/831B5Gef2BG4XuHakMKWjwZ1idQDGued9JyN+Y2w/Iq2szKdtb3BgtjeDYYV6ZBupzAMeoTgiAtsuk9MRp+rSrZw2uAK+ALaE7gKoIUDnSrFAW4jViivch1ioMGWi6IOFQwEBn61lFhEIT8mj/LYlIABUezJUaTjPg7HRtAVE5X26+Fp1y1Ss1eQP7Fz371y5bOWAP6+ucvVKS8ChU8iTYSoyHNF5jO5zV1xdz3k9yTrReUFqiORp5vPNZ4bKjFM80AJVDjp5TRS+G+PYAXgl4IoAfLqtD10s9AbKObPJWUuwL29BTybrXW1EcdFqx8lBQ0cySMw6DCvEOwQMe8mm7Bu8e3q6EziXjmIyZ5x+42700HeMsaYAVt8mh5mOK8sWkTxEGPrkfIqg6QIINVDaEqFEggj/Kf/eq12ivSKtr1kIUUoCTHSoFEuBGwP8S6dvsBgqg/M+dodtdb2ujdALRzq5XtWKF7U5yIQRjexEjZ/XCg8MBko6qu4r1m4leFtjeQLgLJtTuOZKqEpVVJVwvrhANFJGh2CuABIhjRNekRWFQBgqGPNZpylgNkDc+yEWEeLS+wahKPKCE2/iKUcDK8DJYGSIddvgLhSYZZgRBshyz+hAiwikE3ARIYtHYZeHWDIJxMQFimkhERppFDGNN73GTs3uGvcD4ExBc5//zrEc2aCY6e1edphxTeu9wpOGrkreNQV0Q/RYd2FM2DNGrn5/Y7vuvwQb4h5Lu4GfHI/8ERaCKGaXCFMyg/V4fKqn9swVE+je2mnwB5goRrbd+XS/fapovJ4DofeFBl0WMq4cT5+8iuU975s+LAw7Iih32GGHvWV2ACiHHXbYu9p47oVrV3BkGchXhrhsdKhWAM/g/gzrs1/BevsJoP8fvPDeDS+8IICGIr60E1wjTMH9VCdhjg0GQ0sHXxG6C7ntJ7tFpthvBQDVyMqQLAt3NNXYYPagOdcG2cKZOC0LAYy8FjfhddoncANs28IJugJ2mkZmkG5SoMrSTmiiIQzqU6pdB5pqZPPpK8yCkq4i0LaglSMWmT5UTjxZHkdgzDfB0Jx9rPcaqRDCCdIsYwODRZBZFMYG3uDS4TCKTrJT84SZjIYQlZ3BAW6yE8hg+suZIh1ik1qgSsT307HHfoOep+YLMyCEYOLkACRLwfOkm8Ku7oOkNDyP2oO3lk5vDoehKwGkw4AADVLPgVlJrMcYm/UF4jtDPLbawTd+JkOLRjOl8OreH6FTinTQB/vBnQ6nKFwjA0v4QyFEqoJdmYROuyNBkXAxVBQmiL5UOjfTvE3WUbCNfDhwmBg92d7W2RadDu4dpEQZe8JuBK5yXHh56O4zv6zc3/iUA8kQivmPPCQOEOvaR8vvSHY5dSK4UokyDAU5HWcHmiFHGKFAYNiOu6E1iYxcznYVxbKcQhiaUI9K6D2E2PI2+tN4L/U4ddcWoAXHZaU/7hsyFEryVJ0ZXUQZlsQQGJHI8iItQmc8mXrpTItQWJYzgGmYHQzH0AHmZCia2Vawp2KEKg49mmxoL+BCoRHeBYkwRwI15h1CcAbqWBaF2wkwil1DEJpCBLCMWYasx/q1myxhCmBZGjJlcfYXOA5NvRzm7ht1pqxClzjkEWCjRKaibauMQikOLs71iX2awI+Aax4yLGY41PmKzFi5YDKMpncyGoSpyXPcN4ayLKHt5VHL0toq9JHjJJkkcCy6xFqQ4CAcyarLME0kYLf7yKz7lWwWwsju8Yzkc1BVoa3hhDPDSwNA73yOtnZi8ZzAHAXCnXCS5z0G+KMaGXy6bfHMa6da9wFqOmkjOJxoXaJxzNTkEXLUe8dyOpNZpCEPrvEMdJcSrXV3rNsFAXyA2soEU3NV0ggF62YA2UaGCAG69Fv0yzP022fQ8xnQxj6VAkNnsPewww773O0AUA477LB3uc0nWeOdYeWZIjyIFcAG4A6Op3B7jPXySfT1kxB8Bo9uznjxpYbuG2IjegbkBMgC8SWcDevhK4KUcp9hHA+ABgZ4nhSjTq2bajkRWdbUHZlP51Q1NvNwLKp00iwP0a5iyBMAGIKiGUbk7pH6UhfGxsf+trUFaAqRm9oUZ7aMJooN4YR2i3udz+dKKVuATe+RtlTazvkO6jHQlnCizDo3lIJ0xIt94A7XpUAGbeDm1+qz5ms4quXkS53MQgRikyjtdHIZDgdd4RJjZF+xkI3poWOIGNPq5md0OEngZldmJ25ipgh1GTjkPLsrqdvXw5bFDKAMqA0++6yconKqQHwmQqzcmDED273Ta5FkPI33R/af1KDJPyQDaN56S30mTqA5piadhtSOiKwo27g5MgtMOpVT7RnKQXQKqWUwCWhcNdAAAfPAelD/DY4AGDPELV/hhF/2AEr5UY3hEJnWdQa1JmQEHDvuI+yoiubjR7K8dn0bnbUPsfACEZSAo/kMnkzhEvle1o0OuPtIeSue7ZqMhkg97hCCGuGId7FdEYAYN4tHhpoCDDOEhs58ZGCKNOzpHAtCL8IBuElk/SJYIm0JXaJs2SmUI+fPnL3FLAG2Efoy5rsFKMPrpPZJsQ8IOgmpNDMbLcKiyOjJMeuAo0PgBASYKch63EN130DhzXNYXp/sxwK8LJGRJa6H6jMXKQ2XGpfVd3sAKNlTmWkHrlVuwT4caUKPWcQxTsa4SYBmmdbbGCcJlrQWoHYQUSIjDTMoo01g8gy+7oavVyuFlrNGiuycS5L6RECtKfVKkGVCjCNk1EllIm+P89wrfG6MIZVRF7PQ4Im06dkmo8CJ++Wzpr7XHacTILLEswlk5/DAosadAIP5N0J4MXoc1ju2dY10zi2AjMzIlVmasp9FgK3HviLXOrexf3GPPhBVBjcFkAN1gmyXeF3uIEus4xFqdh/kO+ywwz4/OwCUww477IvE5pPJ618dwTxZAb0D/A7YXoE9+yT63cvo669hWV7B/+fLFY8edagYD5kazM9wnODeGK8fYTliG4ANLp1OFjC0KDZUSEGV6/Uptg/RkaW8ly02bq4w36C+QPRcm3uXBhEbQIYbMnpgtAGBD3ds/YImDSpAwzmEAXfMlT79jDKUI0dH1wgOdFtD1DOZHsLUyNzc5ncbeCKMS4BJ2wbXyJJhyrKjQSTqlWKGjg63AFA2W6NNRLHgjMwolKe/owVnMGWNTTO86jiyTDSIN7Q5HSiBs6nJgDxJlRm0yj69cpKzLOkUT/0b4VDD2RFSwgsceFDLZP49TiVnoCE3+wUSuYWAqAiSVRR/nrVSZrQr63E9/kKk0Xs6dwzN4SlthI81aGMdM8yKbTgyRWT7SXhQxWrJKjmgwLKcpypLfUc4/s2i/xwpApqhSx3mIxU3ygnahscH6rkQuImsPiyAUAg6+26aNImlhPMyh4jlH6Z/7Zy3aE+bnG9DhBOJO3oPp9N5Ym2yxLwSQGSArwWiVKrxmJcOnwCUFoCD+9SPQxPhfJ7HXHZH9JXZipHvdoBRsAzzMArEhuOpomTPNJY1wnV0iRCWEOVtHOdjPHWKpTg92sz0YimIyzovp4bWFDg19NXvFbvanS3qPlJzx3xKp73DkfpQBBpsI1jUi2US65lCbCCKlY2MjuxDliABCPoMACjHVLxf4ym1eHItuV43JNlzddGH7npV/1xTlM+abCyFaIYSJfi6FHhn1tG7ofcBKACCNiqRF7/X9so2aUur9xzBJGtt4fNH4GQMNVXI5uji2Dau5d7h/rBrIoIQWk5BZQ+Wh1Q5739BnOExiDlYoI3EE8EdsG58VvVxSEEG2EmWGjdNFwLtMdedz/R81iUDRaa2GRmFAuwZYUwJVg8wJoDy2BOMkN79GBPuJazHeuGI7xk1ci7rMzx+/Cree34vFgqrqzxvzBx22GGfqx0AymGHHfYuMH/gN5n+vd9c3tuGCh0EbIDfwe0ZsL2Kvn4G2+Uz6PYYLrc43wg09/4eznJdh2lQIyxnCwdHYkMmeZqYoQ6INKiT+/xQqUbxuAkzd6D3q085N088efVkYuRmjY4MkubODbr1ydGeTs3ytE/jRE0rxAWA2lRMbvyrMHk67MjsOnnCGhvDBAJ8aBpgnJKKDiaOg+BTOn0ML4l2DNbHzCwANrh19H5btHbXOGn1yK9ZXTQa1Ufb7U7Z83RfyB4azm/8fWNdkqVwBcjtNqtXQIfkGBipn4X9MwCG+GzSvUujoq6ndY0HRgoCUlAkbuJVRp/KGE6lU/sjzrN7OXFSJUufjv00jTxJfZVKcx36G0mDj5NfBIBY43CMFVS55va6/w4HdZBjioae4JdVmQbbZJ3Gxrr7meEa0b7JvLgCRFjfWj2yv9LRrs8zjMvBNphZNnnJHDf5n7RgjPk9ACXCgxKADLqVcqnhHE1nu8CM/el51acAk2BVpYgpiqWRwBmm72UjGFxm0VYjAy1fgwGTgBncS6kmGSbaqOWhDGuQBAdSe4i9OYVODDYA7tUr11JIAExBluJ6MIOcGJ8fC5ZwXYsbCUEa4bgy2L5OlgCNw8VGKnjE2lqsswfmu099X2slx9X9QcKXXL9/9e9datosyPwZwf3vSfX7GH5jDIcuiUzMHSmGI7856ihK1sR0P5meGdU22K0TlmtKfVzG7zUeE2wLsFJepy00gbgEWZ0hQ7i2fNYnmwkcP/lsBDxZIx7ZnjrDqiJtcccQ1dUKQRXRYGpOY8yd4Afr1KbMPzlWzA2w3D9M/ekBCgWWEowfwt21Fo++nlZHI8vPCDzFmzBbcXe5xYt9Q8tsRgnoHDjKYYe9ZXYAKIcddti7xGYQ5fk7hfv7CJ4GyQrgAvRXge012LNfw+X2/+Du7mX07dNQXXFzg9AXgMSBLMapsIhBccuT4A2OcRqPSheZp05xIhhx/df2cNm1tThpK4E97ovMI05b4mSu9xDQFA3wA1CYdAo3KrNu5Il6OjQY12Moi4siUs+ehoMoMhxPyXoAsXFjTH1vADr9EIvyeI+Talat9xXdeh49x0sXtCZwrARQwilP5yhO5BaAIApjhJieN1gGd5fXoKpoC+PuNdLYwiOV672WdcD7SJXrRiFDc2JLDUbmDgDG9m/BDJHUZOGrBtYeENg7PQSdSsciXtpSr4buZzmaClgrRyF+zuE4+9Cc7E9FpL00idTEhZM5oBne4gk6sFhgGuPMylLO0bj2CCyLMBy3Fb1HytwEKkaGpDMghg5HU48QkkpRnVfJMke5xaWiZLIpS3lk68FkEp9kY62u40zXHGwkhurYhSfaWzhHFgCgCiAtnZwESBJ+mtqWTQ7LwZJ3M8xt77aFLshsFRO0dzDrzwCcwrCATwCKw3sAIxn2IkuEEYgK9VOTeWLUHonfjaASfOi1AKhQIQWgTKkbjhUCgKGz5jVWeoEIPgModvX7FG6XY2btXuyMRgAlGANKhxUDPEktnsy8YhSg5RgyQwksB7C6AhCoNyzSGIbSpl6jI52haLu5R8CwK+AjBBBVhD4AFOtk3kTfuPQIEpIAZxsd8YfTBLN3a35nCFqumzMD4QoQ2Y2Oe6NletkERuUrZ80VQy2avrSPuejxV4qeqpMZpOH8e4R1wgQuZJBIo47Ow/WtMS5Xq1J/APgpG5m82tIgfS8Ie48NBxl6N8JcWw70niGgU3tN4LdliuQpLCg1uLSdKAjr1PSKsaY9gId4toZuSYZjRVYt5/MtvxuaXdqWeP5yPqRGy8bQz+W0YDCMmOVHAMuISu4ZhCD30E+bOhRCthS1lJRgvDZs2x2ePn4V73nfHZbzC2inG4zJfdWchx122OdsB4By2GGHvQvt6uRxMtn9HYhdyy0gT+F4gu32f6NfPoPLs1+D2yto7QmwXOC+4u6y4rS8iKYn3N1tUAVON7k5dgguEHSob3QkAzWIjZ4H4FCfzZPwQXeevLWrclOzgpvhiCuPLB55wpYZANIni2iIPCG2yfnN36fN+PTTEWEe3eJ+ET+e4SVTmIIL4Ipg0qBO8UTGxs6YrjX2s5Oz2DfS81ckkLQs5ziR9w3isbHODC5x+htuUupBmNmkzxAAz7ZdoI26KhoaDS01HB9sVY86ZfiDZXt5pXdNkT/w3u4p1jocAyEgItWOmQI6nYoJQLlq7yjTJMRYBXwobMZQbKmZ9p8OxxySgoiPpzIFUgg16hEb9OGMc3yCzJf0pMuZyTEso0geZRRVtpfDLZxac0f3EDZ0aXB0qAuWZaRajZJd1a3mLOuewKMbul8YCuaIzFXx7XRQzNdyskvrxC4D/Js0PEwVC4Ulq4vSyUjBzxKFHc6wWWTMijEw+t+shy5I2ahZZs+pIVAsmhx/98eF2QbrhoYOQQvwz5XzTVBsqfwOf7eJBVMn1+6ABogECedNBKGTAmDb7qoItSYIPz/PCxsMjQIdU2C21qdMca6JzXC566MdZLCj0uft5eDamIOVbSfZLqmd4Qgx2QDcWjmp1Bjyjm3z6oKh/zPSrWdGrwFyMaSOAOlIzWv1sSCcaE011dQywQMWY/c6Ze/Dxs+E1/yczz/w/tX8HGAgfxeubYg2F84dcF3u1hlmpxBZWCcw/ErhpjClLgpFWveZcfbARoHvHplyBpvPoerYEM8s4ZoqEJiiPtM0NHdCzPYBAIljJkISUeUIsVyBejBkYk4kSy/mR4CnmREo53WDYpmEylMrxkpzJuZ1ZGwTNJyW066PHICZMeSJekDC7E0CzEK7oMize64nc/MNptAAfljX3YKb43KwalJkeWYDmXVs6wXr3R20PUKCbM+N5DlAlcMO+6ztAFAOO+ywd7w97xxw/HW/2UsnORxNCsbaE5i9in55GdvlM7isL6PpM6jeQnSF2xpicGpQCaaHQ3CiAx0b9RUCg5Bh4pNT4hSslCK6P1C+eWPlLCs3jxAvLc3hrOdnx6a2TtHnkINykMeZve80KYb+R4biuPeCVADwxG82qfuVu5bOTkEJVvfVEtP00jbo/QIgUomaBUjjTjHHBE9I165sM6BGQsJA6Ty6wXwDrMG4ER9ZJOSBNh9OUp1we2aPAB3VdMqymX3/3euXMKSkBBbzHtm382tuyhFuNbfv6OXsy8yoMwnZTj0fu+48uaQTh/smxYRKJ5GMg3Brdt9HCfbKeH8qdzpxTm0Fd4G4wTrHmM/hLxw3otMcHGOz3JL0a0voNqjpnmFvPmtoKERaZKFBj7pgg/sWbBTrKN2TWQMGrfpVamzyBF+0ALApgWsBaHM/Vqro1EWoMs09Q/Ag53K2RjmkE2OC9zDboJrttyH0eBzurT63K0fWLfsFQAlRZtmVztsufCcdR4wyyAQqVp1t/J4slCy7oNaZh9LaujmaZGjICFerUCzvFYpUa1UxX3J98onaMMLfxjBkmKMNRzLbpfqhQtHYF54so3HPatcCqXKopac6nPl7BLCa8/x9mtfuiX2NkJooYs4zYJfKfnfVBFP3YUO59s5jrSzH9u5vY01MnSfVYPSRU0aGjcCbcLwNIdhxmf0zNe9hqV9D8GEX2oMMNRkAyrwMzmFR7hvFT+fVi/ecwRP+NKMoa4EbPoaRp5YOgc8ZFN6x+XK8zM/NDEGNDHhGlk4+E0rs2PdrgyOFZqOvtcK/GBomIGiStZKpFLmuB3NSrp4/XgD9GMfz0z/q0CNL3rYishmNIeDTnart69d5bcdhhx32OnYAKIcddti7wmaXdL8dkd17sT0JwVjdngB+B/in8eSVX8bTx78CxacAPIPLK1jtDvALFCtEBafzuTJJ3LzwKK7md1jXO2aSyZN/xaNHZ0AET2+fwj3Cg0S5oXqw9MPpiAILgFZ/d79Mm0HBJoLT6QYqp2CiSwiuNjSIAf1yRxFKADBIc6i0AH4cOFWaTaD7XWwQLYRBu/XYPItD9QJBCEM6xfvMI0vPWV6IlKIKnJYTN5YRUpQZRFrTEH4EAFKlQ6hxhfdbMlaAfneBqQAmEF0gekJkN2qALNiFALijWzqN3OC64+b0qDIKNVnQ0KB+v53T8RNsEKxw29DXW2xbx9Y7ugFtWfDCCy/Bu6H3EPTMbEPpY6mGMKU2h0qI+m19LeAh+m8+YZ5CRdoZg3s0iXsincwAC7qvbM8N63YbG/q+InUDznJmOugF1rdweCbHw30CmrzDfYUztKX7LcOSOjSFZdspQpRai7EFR8ZfhfNxmpzVS4BkgugnLHVmakljbyeIniC6wKiDochx6ZwbBkEvoKGbDd1ShnOhXRg2EuO/0n+2FplfipGRzIUOu7sLTQWPFNci2e8OtQu2rUeq057gUCvdkeyvnaMhe9ACcDQHpHeod1ink9dSTHNBpxOuywmKCK/rfeX1MmMIGHnjFaJ3Op3QlOFGdoGgBc8/RZhEIhxLHGgxJ817aERAADlxXDQsp0hTri1CNJoC2zZ0YcDXAKE25GF4gkjumbI4BUip+5Dr684xRTB9yEATCVCtAWiRwxp9NVy2XkLEo5nTqXVI78DGcEcMwCAgBWYgmVbNOb13Mg6SYeXecT6dGCZoIyzLovGVAJTDq1279JhnTQBdAVHK+cT4ay1+7rNDEeASCo7WWhWMu2rTTEWsQJOl5vCedcC6qMH0NI3D68/cf/rFGFqKISES2Ya6TSxCGRnddL6mCJbTicBNsjqinfL31NpKDRE4qG3Vp1CYCAUKvCUAgVjHg2USKXYjDXWkfQ624Y3eRFn7VpnRRvaza4tymwtTU0efdOtY1wu2bcW2xXwLIGjhcy8zwxlEIl32smjMIwNubm6wLGdEGGuDw3FZ1xpb3QzbNoAibSh9kzh8cKjEeGttocZOjp1kky0Q6rBsW8flsqJvG1QVp9MLwcrRBVsJVAvW9RYB0DryudFkgbQFp/MLuJji9ukT3D55DJETXnjxS0HqT4B410034X2HHXbYm7cDQDnssMPelXZ9plOnijyhFmyA38L6E2x3L6NfPg3fPgNvrwFyB8gt4Bcgs3VMlOxx9plO6Qb3Tiqt1uYY3OQz6AR1elkQygzrYPp9D/fkqdbIwhIn/iOmO1Ov8gQPGUZjuWdFnniLJr2Z4TXiEepT1x0b5XzVCa/GhjlOLhXmLU7JK80sqo7gSWt+N3drKhFT76LI5BaCoNCLx4ZwQAkUn5zi/IsEAqn3RBQKD92WfM29z5PmOcQFziwGlgDM0HMQyJ6VwDKrtgChKhwmTyk3ttVw8OBZk+zryfkAUEyPXf9f/5tlFYq0IvV1MlPD5OCPhtk5GkOQc0rja7yObSUCa9SZMWGCWG66ZXc9KScoQ3EyJCP/nr+qMpRDW+nvOMhW4fgIwGA48DnyI60rCMhFFhaxtfoNU7ptSIPLgqLGV4iclMSzJkWe7SPJNOo9sgh11kkHW6bG2nzizWE+O+1xQeGY9tE+WW9nKFxrHNNW5Z/DL8bYubJk8ORpuWv1/BgDQxdipNamJpE0gDokITlC55d6P9NRPVCZwUbIDJJNwhTV8zgrMU/xad2TGrq7ECU3atyQ8cKwO6Pey1Th3ZiWndM82mtghNOYn0WxJecghgQVBpiYa1Tdz697gO/nGpbeZob/1J1qUNS3qZAy/u0Jjs3MGfabTyy7ef3Y2TVD7c14u9dgwyijyFibc3wnM+Z5l4qSD+bbvTTGvIbPX5rLMLE+qz3qJaMM1+DR1Wcfrtd4Fs5pwwczpLMT28RWQjGSIPlMSzAsQsJ0Gsv1HJ4ygFUJ6hk3XRPj2jnX52eh8/ngNUBlGhe8DvcQOxGrCYgZIU0y2o1rxbZesF0u45F3NV/qs/W7HCDKYYd9FnYAKIcddti7wOTqN7/6qxEaMMBvIbLFC6+ib5/Bk0//PzD7FBZ9FRACKLiFa2T0gC2YHXa3dCojZbFLptoEBI2nbuGQNBUCKwlSAINxkCW+2nTtNtIZHkP9jXRMJeKvE8yIFL8RbhFx5nH66QBk0fQCIsbdBd23KBP1KAJgsXq5REri+IlwEslAgTU4Fqh37sGMzJKJTpy31Nw0pvZBw4JIBe29Ae5Q8dAyQDA98uQ8UxcDUWbPkITa7DtUFvaJwmVFZuUIpy91IabNJaJf4kTWsG0rTzrpdouilZhiggWK5XQmiLLESb13ZqwIVokh6qkyiwTmWKRDxWxCEIxUyaX3Ee3o6Rz6DGyRWcHsTXtRF8b8p7khGFae/0RQ9kemHLMV7hvMqRHSe4wptABPFgDWytHKauSGPfVhIj1pm+4viJQxgKvFmElGS87M6go68f1CjZKeOTHoz6bjQIClXyASTI+ItGCbSQOU6cBdQhNTQjTYM1MK+7ycaEekNu4WDrwPTRbNQVsgRbZ3OoB7M34+BTbdBd5OZHycqlnawnAk2+JE2Od5nn4WgavKBgKmBe9kATlEQodBXeJvtX7ESXeuA00XQBvZP8p2j9Px7lFvN4YTMnQlQ7tSnylDaILxdRWSIQOcClpdjvuqElB96RFGxS7yoBdQrLVfAShz487hjldrfIFl18BCAqjGsBOGWzQM8CTnW1J/UpfGZ6WUCRdBtn2CKMCuWHOIW81ljgV7PecftcYUCFAfGc+FGHf68PfvX5D3zvtOrVNhMk5GVq6nGRaS4CNHfokIB0BsWLmGZzsPB955fZnAglEer/u4U1InmXGsd+h4cV5n17CPSsj4eW24e3cGduLz5hF2q9rQWgrRYnqGMHNZo65Oa1eA1Xg2B9jVAiytDFBeSbL2z/FhqdEzlzZSMAedqwD61vmcnQG98T2fyyGR6SraX6gfFM/Wy90ttD1DAoM7DGWq0/XO6bDDDntzdgAohx122DvSrrcoeQIjPm0VPE+EgHCgNsj2FIJbAM9wefqrWG9/A3dPfw1Le4pluQ29ARid1xYbK9wg6LY3CPpthKkIOkQ2nmgajBR9q010hH24NwiW2IhW7HJunAmqXIULzKdo8c+xcSpn1Kni3xbkKZYBPMGnuyeAIsN1Gh1/oez/Q606Oe3S+YpD83SGzFZmOFkJUOyd+mImeFKqnSBPnOoZzjARbJdn4Qwy042KwtAgOPEV9GnJUJhrZyBP2CWZFdvkw1i0xe6EneWUXu+5CKQtaCp8IAbFOsUVW1ti4y2n6DMXNo8HCJHOOfs0gJZl2o6mc5SprekkiWJskRMAUG52J1CNH6nUogksSDrQSqAL6a8C25bISbEIkBovDCVw7xRX7HRUYyNuBsgW8EHoZjrHtcLNoNJjc6/h2JeeStU1WmJh5pWZDcQBBMAj/MdWbNvTCKHqFzQ6ZEqQJn4Lhz5TEcMjXCvGoUP9BIdVZqTmZzpLAlucTBOmM4YU0AcAvYdWS6ZoFSzxkhbjAkDyxxweQE8iSdk/HmEdchJU6tvlBrosEbZDJk+k3WUmqx4sD5nmVIVZ9Uh5mloJ4XMpkcgIT0uRVtQa0qGyYGnJQGlQPcUczFAFj7Abz5AI2yqbzgBP2MbJNPDUeGB4Cx3ApYWwNBhyUUgpneME/8phFIeZoosRKUpQJgQ77wMopW5x5dY94ORdpfcNZlQjI43zX+Zxt2EGXaorua5KjfwJJXGgBHxHp+yLVVVI8MGmcZpZhmYNjqm2uTbx2j5fv9Jtz4DO/N38/v027Db0bRL0GKFs6YTTkYfDu6G1BM+U4TMYoV3SC4Qptsab8rvJoLQAWrYtWSiAoMPVYd4qnCqbsVtkz3pIU2VvUnP6IfBibjehIG7MI+H6HZ9pcsqrlR7LQ6YtwkmbNT77naDH8yEu5f2cDJnM9iMiWNqC1njoItMYyX6q+ZDPBD45OEy5G4hDETSoGNbLM4ie4fA9EL5vtcMOO+xztANAOeyww975xl3L7rTGp82vAECHYIX4Hdwew+01bLefwnb7G+jrZ7DICiV4AjjxAIGjweUE+IJYMgUplCfS0XYbeGZtQIAmAE+JeMLVe2708vhrf1I21+W6grG5Sn0LgiUESQKkSR9hbNp5VFvfa9rQLTeUsrv+cEByc+31e4Tx5P1CrNVqYzsAlDp5lEETH/VhqE05qoBIMlCkQJ50YCMzROi6gIJ62aVFha57amTl0KXK4kl1dmbYIMgVHuusAxAnqQ0RZrK/VzALmi5QPi5L1NLzNDtDY7ycC1HwWjK1IUU5a8s+6aOU88RwmJ0DNY+DyYFLKngCK9xmC5zpekcq1miHcP7NOwE2/jSHd2eWESknxzpCdBTgaWuc9rtZZK7wAFBGu0597UoHhCDEVJ8MQ3NfYR5AXO8r+nYXdZHkwSgUiiYJXkSdPDN88D0XAahhoqpoBL8UAtcl+sc2uEviXtF/TD1q5tPpMFlPQsCiFg+PeiYLYHZ4M9NGU1gyGdoSOj5tKV0GES8WSJ5uq0SPiUswWZxjGcz8lIQOE4qhsG18MD1mYLUxRTGgTKeqBWCyd2P+Up9ksI9CCFtyfHqK9SZzyQcQyfqO8C2pFLJWzjybKR0/D8aVupRIc4ELOT+vbJT5jewhhznnsSMFi4UgSoaRTJ/md8a6Ou56zW55ADy5V5YwqzViFhr1ytTy0PecjbUDUDA7v6MvH2qD67+VIPZUz2TljIOFDIuMsaEarMTQTon5kWu8SS9gQaTVc+X5wMa+jA6HWaQdLrBIEkyJELgUdo33BnhXWe3u2QDkng9fjPDbObWwA0T88v3GumVfP+dqMq5jKQDMbGTP+QKZTQzic44Pc4Y6xjO8tdg3XPUipk1MvZfgSQIqQLadQcWx9gu27TK1iT9wzcMOO+xztQNAOeyww97RttuK+vSmgI5yvp4CeAbgU7h7+r9x+9oncPv4/4XbY5zba2jCdLQWoS0ucaIdDvwJTjZEOk/rdovWHOeTBjPfB4BiFEkVGJZlQSh0LNj6CrcQowW4QSza/Cj6/a2NEBBxtBNDJlxg3SCaAA0z03jnbz2cQV2wtBM1EdrUTvMdUZkz0hUf2Vg2QEIIcOsUH+0but2h90swK8TRFmpnUI8kD85TcLURPGlN4XIqSjUcwyGDRmrJWfeEuih5uB/tJlikUZQ3NqHqilWXqn98MBzC7JtkZUS4VQyS082LUGlockalYu2pGwKKDrZyCPkLxJynosHoMKemjHVYO+F0MqieAaZ/zpCZanu1aunhqCk1Efb943RcR3pOoNJIezr7kkl1QmzVjKEg6cT2/CP/7mySyFwSDBSFSYaBCNbNERmlFND43bXDmJUjGFUrin1U2XEUp+XFcN7vOQAOxwXuF7hdsG1P0bcVfV2JCwkp7RyvZFCEQC7LTpHG0JQIZkak8xSoL1A0KAEqkw2m4cBaN3QT1tnZHFrXAChYrMkgGsDoALoGmBSfELg2oJ2gPVgX3k7QZYEs5yGOCWMkTog55+l7gr4RuqARMudAdwnalwiTEUV/L3N4gQeImCEYodHDMLQJQAmmUWi+WE/tl9C/uVzuQn+omEQ+fhZwluNRADEKf4b4Z47hZFEES4gALxczAdtZjQ7nHJYxZwG6Mr9Odb374zSurgAUgG3JUsuc4nkf1pL3XhiKlhliUg9pXLtxLdK6zv2VOldQL8bJXuvDHwBPEgxGiUDvQ/JAZ/0h0OX5TvAMos/gQYbeDNCFQCwAVF8Yunml5zWLdNXSvK4dzxMCl8QanOnmY8gMzY+8n/UQ1N22tRiE7qeYE9SHCUHkATxZgrwEvxKw8VFRtkaO3bmdor6xhse/s190GcSnCOlRLMvC8jZsW8f9YZlgpY+6EVQVAt8PgSjxLAwGZglWJ5iYYKqGqCzgrP98hXkOUiemQox6PSNjPdkArLEW2x1gK7wrvAO6pF7VAZ4cdtjnaweActhhh70j7MG9DG2/J5hPXBiPgAtgj2Hba7h78gmst5/Etr0M1dcA3KLpJWKY65RVIB5ZRVwa4AsylWQ6hEtTCqgO5z/TG5p5ZP/A2FCNVJSRMWdmSFSZeSLrjK1elgF4+KTTkBvF2PjJOOFEedBxz3mfNYnfRWw+AAmoReEBRiD8tCbJaTBuquOz0T4Efiw2ot02iACnEzfUrD8kTrQpzxfXAQ/8WN4MPYrD9RTBjdc1zT25HCO1MQg2JLLisSGngzSyRUwOYW6AuQEVaRGiIwv7m60rklWdToOpjsD+joB95QkpATRu+kUCZPLMliBSrJ3c/DszyaTuCqABGmjASAWiTE5k0waFwjjuqiwJ7hRdX8l4IAtpcjjEQxA3tEXPZA0IVCL0SOVEFk2UB8L+ZCaeSHmcoWIrATSrsqbTAjVwUtX9nWBmZEHpAVYWsNOLrVXntQlqZtrTApxinKloAS0jW4ai0rIKdV10Cc2Z5lDP7CxrfK8JWjvHOFgWiDYyusYCM6IDOIYEHEMcF8IsJi2AEWPfzBbAhcE2ghgeJ8WV2SanNTIEJx3DYK+pLlA9MTMIdSMQ7ecE3TIrTYKcqauQ6KMRWEv2ifVe7V/pmWXSc8hD+FyeCB5GRhSwvWOhcc+5knUn+6hADL6TYIIldCgVamJkHwikgOE55CU/45ZMjhhqZmBI2Vhjs9yptBHMowQIRghUsdnqnZj/qjGvkoykKZY8jYXBypn7Wuvmcd8JRLEIK4QDrbGvU6w5mTyOAgyyzqEzE5lgBgw512+U5/lskFHOnSg05rlVVRt9doXbJNPOs5wy2Hi99wr5GtcHn4lW123FgklAIJ/hGeYU/ZNt5TYxUFTH+l/9llmExrNURePgQATdkvHFVZzaVw6htFAycrgme4I9FkCshE7XeCaN9MRuY1BkGF73bM3OeSkBWkIC2EgNKR0MsQi1Gc+2yrjnyTrNyNGo4+k091k845IRCelYFIjtg017gjHODzvssM/PDgDlsMMOe8fY9dZQr9/MPaJPWhe4AHgKX38d/fZlvPKpXwDsFQhexc35MRQrBBdmPxVEaIUiQnZOseHBCXM8v4jhfLNw09Vjw+cNId6ZG+DY8C3eyuESNAgcS1u42ewYQE9sMtctTrdbW3B+FDHZsWk90QEdANF5ITNkWzFcBTpBGk6FKkKvg5kynGEdtlEAtWWd4mcTRLpiOMCUuSAIks46CJ5YN2zbFmkoK4zI0SlYCu84LYrWAPMV4grryaIwnE8nAAuQp9aWKVjHCezcvSqCpU4+B6Mk6dtNGjfFycJh+FGCQXk1UaieoLpgaTcQaRMrwYrt4j7CYtqUlUbaEtf0DXANiVeGCS3eAjxxQM0jE4sojDof6VB1z+JLpOKVhtZOaMsSsi5ow6l29kC7gSwTyAMfzpYbMnFD6IHEMDbPDEMcZpapPAVgyEeAD5m2lOwLxtmH03opZ60bgQ4HmTczTbwBHqwta1udo2dqUPcLAINoMLRgK0JHpUPRmYI6FG9UHYugAIamLej/8ABFBIA2aDuhtTMgoZsTWgqhYQKN9NcqEQwmothcY56aMzyr4Xx+AaKR6rdpsjYytGA4wOCJfsl+hBc1ACcMRsbO83RHX1f09YK+3qFvIUKMAohSUDi+q3rCgsb1gQBKu8FyOuN88wKACLHYtmfBQqMDqBLgRu8GYEPThtbOBOvC+TKLOW3bCrMOBbOUVJafOKkWFUCtwnJinMVH1nWFisFajG8iNwHETYLBs2mGVc16IB4shNVWlnuE1p1OJ2hr0KVRPynSW9sWqZclAT3rcI0Uy4JT3Tuxjc199CGzDoksA6zLjGk+vhd18GAyaaYrTlaEl3N7H7Aotx9Afm6fdca6wTm3VAGQURQhWPEM6DM7x5xhek6WAkGfuEP0adbRyDrJNmf6+FHGqawF1uV6Gw69k5aRYW2e2CnrV2CWOUwcpevljpWpsUPbYx8+5l6QGk7LUvcHECFcqfkDYGkxfwwKYdiebcEgaqcQ+FZVSEutKoKeXO+BSA3dzg3AGb7Tf4rXpW+xtIpCz5yvrG+3jssaItMtZIRqTkQIzlUbTcBgpo0GBK0LlgWACrZOgXDk+ItnPKDofaNweoBoYvE8XtcVZitOC5AMuXXb4K64efElhC6VcAzEnI+QwBXns+B80yAyRKETrDrssMM+fzsAlMMOO+yda9fgSf3c4iXPgO0V+Pob+Myn/jvu7l7GevkkWnuKpT1FaysUHb5tsBTvq9PTIfLpdQwbgEkIq6amBLipdgT4QiNo4syeATp+cbK6lDikzxsb4aaXOg65GY5PPO9k8aohZjHadHzqlLUhtfFUGzdW+dH8Hh2qrERRvA1Nz5CW4nkN3hTGbC3bFtluKtNDZgbSPCknCEMR3h2wYZ0MkODDBLKgBYJEdaIc5nl+PMJRMIMjzzUyYTLbgS7BTIAQEBo08R47azx/w0mnQwMQa3KGdAHcgsVAZ312omtzTWduziDbEvCYy7o7+qVnwU1+CnbGd0ZfGdLdzvFr1crBdGkBzmSq28awFSwQOSNOcqnzIQOY0dQdKY0MaiPMIsJ0IqJgFFfM03OWz0s0uUPpcOzALbMCAEHHsUJlHJyfoVUjUEg7TQDKORwpeRROJobLIAkokiGV+jSNaamVIW7alnKERnjJVg6Y+VbDrDRe0oEJGgQyDCqzBdkWnbytF/i2hhCt9XAa57maugrSUKKu0VloGqfpTQdAMFtkF4s+iYxSAcLGKf1GEFgDYPPUNgrgytGRPLliHSBDFMaJdw7DTOe+y5RFwNNzCDxvzjzvL6UnMRgocTr/vG8MtoVIivcaVEIgNgGQUag5JAfjb5jn57QWThIp6WQnY3DomQydk2HjlD9EuwnG9VxbWFfWT5uWfsx0t8nhD8dYPMVOAzzWlvdAgfXXrBUHAEtgbr6DTI8HG0COJAg3mDaBD2rNVWiNkqmfvcqZOIgZ0Bjuc80kfLA3s54QqCmMuiBGLZ4SDH+d68UwnYSDsjnjWwWQ7f7I70QojQ89FsMYNwD1knqtHbMstmiOr8GsGnsRhnGJTf3P8shgj/g0cUampACR4ajsdw4wXMpD/Fuu9hxcS10s2IF2CZCamkzTQ+Owww77PO0AUA477LB3rNU22K/f6YCvAJ7Bttfgt7+BZ08+ibu734DqY7R2B9UVwjSxmaHDp3jmSrcqVyd4YgGglHM/PhhOK2J/dB1LL44MU4kz9j6V2XNPhRGnPk663rAd8nOkLBTY4gY3BZpzQ5yhEW3akOamPcATlNgpndddis6xwVPni2kxe7dyGOZXOgTlYHvebwI+0klzAkX8nM/iqlVZI6xh0Rfzdd7AQvhQIXJCCtVWVoSJAu/VJdfOjVRKZ+Tptbah+eI2TomzQ6dvD8drNMW9E2yfBt++9BN4QjaMT6T+PEHnZ/2BV8Xt8wRU9YQIw2hQid8rDCQFVRJwMC9HIcCVXq/hkaHGSqVE5VyIjb+M8ua/3HP4R4MY4KUPwxCkhPokxoLIicyPc70gpwBXZN7W5ByjXo4D3no5iBkCpNrKMbIH5sJ8gp3FHLo0yVwwpLAmNNuOoXLmQeHPjEc5AJTU/awbWV6ilKulxzU0R3j9HagR9xpjd8qgg2RTKIET9o6n5DB/yuiZ+ZUjybODUjCz5rfWa9jD8/BBv7cc9X2ozshC8nxnL13BAn7dYGRnuOvV3JKpWFPb5Ts+l1vu/a2WLX5snrt7dkeUKlktGQrmzGBkAAWzEyBS7Ks5yjaDeAlYlF6J6+471fcYP5FAQDrsVZ9RdzOGMyKfTwJpMr0ngQlmJKDsR0jeZ4QpcdjnGorXATxGw++ZKnDs10TsxkbV5XqYZb13f3j+dyoYNw8ZNNtbp+nFdhcn48aiLUq8XCA+rWk5Jubfq2/m+kztMo8r5HUx/eRn2Y8hPI1YS5jueIzc3Ec4nLpb+Xysrru/aYo/SBbmAFgOO+zN2AGgHHbYYe9Yu/+4T4DjFvCnwO2v4e7xJ/D0tV/B7bP/iW6P8eKLK04n4HReKKwokVaRmy/RHg6QAhEwsJQmRoi9rhCsAaIwcweolzJ0HBoUAbJsfa3SNWZ0mR0vmTYvuSlrTBO6rWs4dvcEBJ/THh4bp2yUTnaAL48AAZQMA5eG3s5ITQrz1DqJMoemhaIYKpN4oojgdDqT9Z0b+1nAL+uWjiWviXAA1FsBQ4I+NCDokDocsNCHKFTJva5pnmE+M3iyj7m/b2RcKHU+NNgWAQhsBNA6uvmUSTOYQiYGFcCEtHQIIEtphCh6MGwI4ui8VfbUUnEADdAzItSG4BDvJd4gHjosQyunAmBGO0xtm6Mn4KtIoZ3CsiZREsvsLvHXEu4N9k2DtkeIUKGlgId0SON0eov76AITioL2ABOi/Sdh2uxz6t5EzH+HaGgeuDM9L2QKCQDEI9tOAmwGh1jMA6/sOAG3QBvQFqg+ChCs3QQIpGdE6BHnYzpSkgCKBcNJBK0ZtC04tQCExIOJwg6De4+wJwoDm2dYglW4UmQqCvBQsTB0wiEtBGgXFfapwzeGjvQLpG8Q2yItrIeYqyRbK+n7GgwKq66XWDdOJywL+wipGdMJAgfIs64dW4/QnMiEtMDdozyTwyacx6ICmHM8jnGbwGc61uHdjblVgE6LzFclTo0ESydLRxMTCDEmCCCG1pTTnGCPoN57M1YaEm50OIcjLUKHGFOdSgSY41wUQ/wWmFkMRuDRuDBEeuJkYXHs7zKxCRwNTRZmHBNkWmhBiNU2bQ8yT/Z16tSaCWZG9yUwN34vwjN1yqo1g7Nk8nhmldm3V4SxjDVTPYGfZM549VkAQSgAFgRyIy0xCiiI0JVJA8VHGZ/Ta+hkyJRIrpN9so1+Ff4vw5HmZ4ybACT6eWl96HguI8dyJSuuXs0yuEdYoney49zj0AFj/AXAsqFvweJrp3PVIrVyoq8inKr3HEuxTs4Zj17XHIxejc9pk5oLkfY+nqGhD75GS7SxlwACU2lNcNc72Wh3UNxAmuD+/ScQFg/9/bDDDnueHQDKYYcd9s613BPXyYojdl93MHuCy9OXcXf7G1gvr+B8Cgd9WRBxzaTzx8ng2FxPZ3VIIdQBSoSzMl7p4OVmq02nR0OQbmxU8sWd5739itDJjQ92C+d96K+MolV1C1yYjfejcGtm+xmnUIx3TzYHAZz5NFfohCcLARgnamOj3eikdYZIzOWjBon38pyEznNeS0AxSm7+41QwQiHi5I/tWw6QMIUrN6cDgaj2G6flo00lmQYSIqEJWo36ZriK5z9Z/wx3GMeEjvSzhGLAwSfKPs3Px8lmFMQcgAhDRIxtaGxahhaRsSR06md0UHb1GUMh2yzv62yH1G5xUqlcstCCFM9FtkdpoIx2TWp/XJ3hGuZ02ILNkNlKUrsjGhS738fYJ8NBRthO+edZzcxg4Q7XYIKoJSCaIAPDRui0x88Ef3SUF6i2SIdvzAsG59VkyH5meZPSP+tQJANlCpfKk3KLaRYMrAS2/ETmDcrBRbJakpHmU9hCdW86nMxQIlGb1hpaazVnc21K8DC1NtIxtrqfwMQYejENqGk5GvVPwIEFT+95Ep8G+6nmv6SGxrz+XK1FO+bAPQSl7jlYBhO7pcp6ff3ra3HOYYy3+59nK/v98g5gJ5kTAxDUxCU58ceSkXNt3D8XZtFsywBw1AmiUbsjmXr7dTfXV9R1Z4bLCCGiMLVhzBeMzC2e2WzY3XNV52ubjTJWmGk+r9xLdyX7pz6cNbWxVg59mJF2GB46Sft+GNcyhk3WkKwygIGH45lXGXtw/3qDAMT6B4UNhL4CdGoY47i+6/mom9Z+r2f2jjnDZ0XsIEbWKMnsZznGkkkzPeOqL7P5alBz7hJky7Gbz/rKXsR5mNhV7i9i2M1Zr6biSv6NrDf0atv9B6c1cl4fDjvssDe0A0A57LDD3rE2DmtyI9ABWeH+BNZfxWuv/iq2u0+hX17GS++JbBuGSwAomEIpcgNRYqoA8kQfAkjnXiO0T7yyX0yOr0xMEUFtqkaIw9BiGCyPfehJbbg1xft6nBDTqdk7q1HmQbwfTn6dsHk6soNZkuJ+6QzD++R4jGwcg1UCgKenbtQoabGhbbrAlxPcG0M0DHkS6Ba8CJ/qKNDIZsCSGtkY6QSUY5dsBc/gmJF2WNAIMHDDDZu2fbOjnG0a4EnTpUT7/n/svWustttVFnyNMef9rPfde7cUPg5+WERSRfAH0QikBLFoPISikkIw+APFEE8xCIm0mOg/EQEhYBqDViASI8QTaKIJ8QfYqgEVaUJUyqHCh22BtrTde7+HtZ57zjG+H+Mw5/08z1r73S2llX3P3dW13udw3/N8z3GNa1wj2oRoUxi1om70KkY4y7iexn9+miWEEcmb8VSIGQhwerh2EzyFpXhWVfRo0pgdLvDKKN6+yFNyfq6VjdEX98zfNNc4muohasSIUBfmZQJQ5s8NgAMw8IKhUDHQwowMm/8Rcja8/BG65h5xkdRViWCiDO+B2+rxXYnW2VqQNPxNxNcy5CwDNKHFmChU4Ytu9Il7VSnWt8Y8VgspQi4Pn7dufEoHxEBTM0CagSCZEj1sLTZDT8XEbbuNV4FamBCsq+FskwwVlAj/M9YQgzNqKwQ9Q3g4jCVmThCldc+aQ1Md1YRVW2/pCQesLUTd2DEXiAA5hWbbEuqsiwA0iu8ugSLEHjWF74RhnWvy7KLz3TD2qNgX45o6fW/yrE+2HRHOl8O0f00z6OQzBVswhnFav5ivGxYds5GtNIxWhywT3HBDPNAEAIkSB6OQ2cBMIrAzUObeHuE65+Erc2iLZfgCIjxIAo8L/SZnQkVJxkgyauw9EZeOis9YXIoBJhr7lqR4b4ZoUdTHw4qA7LMRPhaAo2XDyrrEKCWKA28PTfPe0tGfAxgB+I+98pRWE3XR2F9yro6sZiJRE9p+J7+H6XsB9jg4pLFT2HOLQ3vE9z/mAuon7KuT+iWImmHDHUQKYkrx3gjZAsyZojN7DO684KivGouNXF8ql48C0oHeoDIEqwNUzQfE5uy0l73s5cWUHUDZy1728n9NudM/og2gGyge4ObRO3F8/G4cb34ZLI9xqIKKjgKxrBHogGfBIVWUPLhznAgRIpyD2u6HH10NRBEzhnrvYOqe8rW494fQPQvNOLgoRBu6KEANog2K1a5PoZnhGVuc9cGsAAm6kGcHYSzLgtaa03MxQIeB3WR9LTWxoss10JwOzZGSWZNaHIf3EQ4zGSB53iV0aQbZUAVILaJCLX0zQTxVqIUOiXZ0bXYPQqbizAMcYWS5FR+/OKx2AMIWEhECle7hXC3hkF3FbbdIeVrrMuaKG0sBOokq0I8YXkLr41IWf40hUHSnYBMrylImSKaPs2Z6CdlDj7yfwhhQstCe6fN58FWHgUoxu4YR/4dCphUSEhrMAC0VEaIQhkqAEQCwrjdpQBNFi2cWhqYHvbDNoxIeTRE37GaDc1YpiTllIA4XDw9SRhe44OmS81vFwp4sdbAxfVQUnSwUyMKlRlz+2eE9OggD3Mi5HWwHHtobhr4ICN3ej1o7sCZwVo4OsGFeNKkXEcYLkCmGZx0UaACmDowQpTFGMb4cYSiK3lYotTT6EuxjAmrxe7gWEg0OkbFZFMwWapUGHCmarLae4Ebq5O0349m6dQZZCZEyddPJmAGCcwA2DGYLTfRAF6jvJSrA4XDPwgxR3LiMcIGO1q5zPyPPgmTrxPpBImROWxr7hSx0p3poWaQzZw9pCpCXYeOtkWY6jF0AhA4JAdTQiQBgmjkFpTAElrUn1sc8B9ZjT8PdAAqyfU4BeIgbwdo6Qhpng9nubUBt8Uwzg1kAr79KRwutpCynoAdQ64JSSobaJJDhCIr6GslcY5EK2sMQ7fPmEAi9KwXQegOBwRxzHRB2PSD2dvmc6W0I2Wps1DG2VHzrosjJjMJA7w2teb928WipYGTamLXWID0YKJNukNizqNQFxAGk2HWj/gnOYjBuWj+mY0C6Jk7ADkTa/i7onoFHVVzzCKjVnk0xP2NVl2J1tvDewe4CGIVNf6QU668kiLKglAhZJZQM4YpjgODYbkBkWXcOy30QLai1oHVBE8F6vLHnfD0YwxOMdV1BxCjVzhcMBjgyBgmWhcFUsXagH1dcX68QehpUO9b1GrTcR+mrP3/nObeDJ3vZywdbdgBlL3vZy/8VZQYG4v/N4xm+sA5VC91Zbz6A9fh+iDxAwYrCHUwC9jAW9XS1kQqFadxhsP0HcEIULA03/MJgBPK19Eq6RxUZuhIGHWC0WvNgiTZTy88GDgHWoBWbdmd4Jc3IsBS0kULT6h1Vnh3wQBieal50MLrceB8UMzzDgPQvbb2fGhZI/lhaVUA4DtEww1GneHgxbQfTkmgRfYE02mj28I5rKzz1cIrEMtjTs9pw+AG4eXw9Gb2ei4e8sAE5oxfcI+f3MW6GMXrUf0PVD7mcOJdHv2O+Utx//CNMMDHmwIyxsaMV02t2oFe7j1+5eIYVOOBCIGfnuCmdNrcb1grA01ibBok6++FoaT61T2lOixtQUXdygc0A6uL1KURpnjxz/WNu+cXIY/7NW03gzKpkEswmUFx8jvmaiuw6CWSMNRQ3onGj6aabCuR7tBkcG9ktG02RYXK+foaH3+a9kI5Ql2neb5kFMRYzqBLFvfAKhLGf1xA35t3ks0rrhNFGaJ+HHflgKWxvSkaOj5VCDABURSEd6ySGagOSRDghIUIMsqtHJ9tPMuwGWhVCoUPsmvx/ruXAABcDOjYhH9Ih3YDdmC+2R4SQMBxAGelkRyiEG7GuK2Tp0keYkLW9hyl6Ya6oN28bchdQYLCkmBRCYypFSJkBDxZOSGR7iiqBSGCgtn1fdXSigWWj32NdW1ija03BQYJ5n/N9e2ZYnJBOxnNAafM5G9NTQGx0RS7bXL40zYPNGw5SyZgb0U8+/nNYTqZJntIT1zLEg+N7xTOvhWMhni2b/VEduEkc0/tUsxKI/wysH3AX+b3EGY6xs4uIgc3g3GtU47mDHDsLb7N2FQfbGLEvwp8rVmED5f3fDqaGDo5ltvO+nPo25qtyXCuYXMjnizg4T+CxjzMlecrSxCuKjsxh0juI1fbaOF9QQOh+HyaTZVNFax1UbY84rtfgdsQifZuwJwdkM732spe9PGHZAZS97GUv/xeWMLhXcISn8BHr9Xtw/eAduHn0DvT2PjA9b8BJOiYFaCvUqe5wDYJSigENccCd7mNF8q5WCFBGLQX16gq9uwZBNxYFSDF8T9O13KgTmUNk4pru9fWD7eZ70JQiUTGGhuE/ZuDR7M3MGH9Nu8i8vUATQkGwZQY1eRiHd3ilFJ621gzgUgoKwriwQ615H1f0foTA2AZcy3ySjd4DAehrZAwRdF3TsCLmZIbkqc/FMiN9dKoH+m87SA8dhQGejHh/TbHco9Pe7UDLLvpIzAaoVGcG9DYuE17K9MkD4kbxTLHWNrQzmnTr39btkMwMRgAMAhNwJc+UYvMsdQeis7od2knFaNkqCDaEaIf262GUhtFZruxgr+MAHx5yVYF0Yx8RRxyRuG0VRp6BgjKHcTnuYnUN7ZsIUbIwKioj9IPm07oaO6HLESbMfIRIm4yz6QZpbHkPGCqTRovZM24oJ3PGNFOG8RygZoQU2P1UuoN73ofenym6SSEeyXkNw1HcAx3rZAY4tDhj5GSxTEKlY+K715yc+eEWO7mHPMCtIEjJZHiTKpiMIRXWp3oHGdhRHcSJUIShGRMG8dB98XWTdUQgHCcgi4cTKUEgztSDpyKPtWXiob3bfHzRRc1ozOEOIDl0QvxDEa6wATJPSoKP2a5ACuPaIXw75jmRgh0MsxBLGj+EDbgOBDCUQ5egbfR1sB5GWMuWHRIggN07vhvXC0Dulj34UpuJUlfFQAOFdPt+LXXorfhna63oXdBaH0CeBnA4gSgJJE5DFZpETNYWksw0hGTvuOBrruW7rfJor8ZaQIR2xvszyG9A1VwvA545X7dzgRURB/+6v+f6QLbWPIU0k+tqMcDigAgBGgxC3wPJGYEZlkQnP4CFRQpCBZfIwrWYK6S3CShzICa11E7HW/11Y0AZ0EugMkK4DFAsebYZIBhjqQyuDGjDr/zyO/BxnwDcf+rlAN8b7dvcay972cuLLTuAspe97OUjUO56aN924JoN/A5yAAV6YwZSfw7t+t04PvpV9Jtnof0BijYwGwWY3JOrfXih4rDIRKlrEcbgpoZhYE1+TgvTqKj1CqorVBpmSvddrRiHU02j6TbPYpy6RD1bxnTYVadUYzo05k2c2WAGmXvQejfNBR7XFA+kVxiYQieH1W3fw66jzVKxQsElvIdhDIRWwFwfmg5uQX83ECrSvULjIO5IUdx6nKTTw6yb+ox66axbM7FRxiHdDTDRNIbXdg1GgXAFa3EWR2ilzIAZXZi1m0Y6wGUhCqKS2VYsVIyATiBeoFwGc51t/KYrIOeFe1dTR8YNf4ilqDRgLECtnh58JQOfiHkAMoFPiCKy01jWk57zJACWwdg4zagCmMHu46JwsNAaUygYMAFgmWFlDBpJoMe8uf7v6EXCqEf2AqzfaBrTeW4AzihyUV5f45GhKcJ2DPwwPROVCIFpLu7qfepGsAFEp2FMwcjwqgSAB5vXlPoD87eewJ0bAjB0MrPUQkXGOjJPtYVmWJ+a1E2ky10QoEGw8mLNRer02dDLvx1kMyFp3/UmFkK0XMnCEbLawSw6Y/dge/1to7I3z1+3cRMPRYMgwaBo0zCkxzVODfxx7/OXArjY4CEDuUjhbvZwwBCynRYOwvAdmYk0hzwyyQRgMfpG83kT7DoCMvRvC6KM6216aNPObZtp0yDPXhTQWjGAdoyXhaaodhQe48eF3NC/NE/snqr2vGBYFwgkgUZinrrUrnXqPrCUv3phBoTlP8Y2w4UulHO2TjCGMLRg/D6zkHuIKwdwri6aS9OeE/Uh0i3oDg+F4gEcjv6Z+kq34xx6V3qx3Rf6YPOK5jsiDSBC74RaFt8LrP9LGSGuqsbkqqaSD4Hi8ePncXP9EOvxMUp5GkynZt+ltbqXvezlhcoOoOxlL3v5CJXbDr/D+Dg/IJuhZB6eBqIjVB8A8gj9+l1YH70b1w/eCbRfA+ljLKWhFkItQdGVTA0JqIs1DtaCxrFHtwf1jUGl5oUyz9eCpT4F6Y9Mp0DX6aCF89NeXiPMMrjBmf9KMbnt583AIOX02moAdLIAAQAASURBVJsnzQy/rWSi998mnMXp/n01zEILVMmv46KWOsyTCM/JViu8362eFk7jBg0Fi4Jd2JDTLrHvhp6C/U5vXwIoYRxHWEe8ZyPC40KQ1M1wQwa8MT5Vu4NbcQ1CHH7NAPCwqvBGOmvG6l9Ra0VBQeEDBhtoDg2iPNgGRrAFdNRYOsFYkKH3oN2MXq5XAFf31ALEpqcxWhnsCr+fGBXeQk+cgSLN79Mh7QhR+zfrAtBieihMYIx0qewH/CHcCAA9aeqEAD1GitaR8WW0fwBJnhUjKOowz/MIF+jex81Se6qlLQ2xDtHI1uEhHu61z0KWsrrQPJfJwQCMcXRjSx2ISAAFtk+Ih5JJpA+W1fWLZgAlmAEmlksc4UcDPiEqrtWRFZx+UszmiUuwZRhb0NLmgGxJaLD2aaxI9SYq27iypRwnnIYZUQIolGCJa4EEQMgRgjXtIBRQsRXTLzJX98geE0ZbAFRx79lDb5XNdOjY1m0z650J1KV5WwPICKAtWEWTUTqDEJHu2oGIrH8AFIDPdYo7IlaGgQjs3WFefQNUgr0x7Ttz+vRJmDOZIM6g6R6ilIb7yTNlDl867Q8mylTv28/PIBWy7eMZZu3pDg6UUgLnybYQGYgSqJKFipqeR3HABRpzWjZDpg6GMpAMFAWZplLWgVEKNqKvF1GhcdWz3xGedleZ283E6M2fiz1UYeDhpeYYmH8QYJDGzNjWTz0kdRbwDVbUHAdzdjrx52nPsC3Ty4m0zi+mzM/z1hsAc/IU10WxkM2CZSlOTBwsuqUUCDNEFA8fPYenHj2Hm+uHuH/1sdikRkrwaAdQ9rKXF1t2AGUve9nLR1E5PWBHcdothUDbjf3IQ6C/H319Hs89+3asj98HWd+NikdgrFioebpiRpfQJHEaLJf0NJ7eGbgA3pydMQYQoGLpeckP3stS0NdTY+ZyCfBExejDtx1lIqvNCLlxZoN7TM8r6941ALOYYe+eFSQELrPlZkAH7sM8+xBPvYFmdPSuQ7uAGctSUSujNBOV7P1obcpMReHJNwCq1kMyE0w/1ACYwTqhjSHrL1p9MvMN7G/olGVhGDaAiVSWwqA4zIJs/JVwlBsHxaw9qgKtBKLubIRZKHAy1BQAq3uUzchSFbR+TPZG9LX0FegK6s6i4QOUF0sVSuFhh+tmCCy8x8dPCzKzkUaGiw7tBgj0vjpI0czbSgBUwKHvM3R4ESyjlFvVPkJf0n5xds4EoFCISyYrZzbYPHUwhdEVBkn3+5lR3B3AMLZNZD4a8yoM1tkwHmYuoffQKwrmGPswR5+4QevCy4oOFQeZ+jrCd5yBIn317zlI51lvIiNPhCARMQotZnwX3rQ7gJ0IY3nyMhn4Pp+DWWIpamXabwY4p0BqP1gN7P4MtbnEkb0KwOZTNF1nAKGjDcEqmsK9/D1yAdBoe7CLRCN0x7SJwrMfhnnUfTZPA3Dc3P8Wy1LFxGIp0M/8WAAJvsY3e99s/I+7nPa99Tdy3wDMCDcsagDqA2gMxMrn7CQMHjcgB2ds/9yG7cxMnQTrhZAq2k9gwF4C1gF4BKMBfNH+4m1YlgOki2duitdMtFQkngVbAGVd+yaTj93crivdQoQ0aChg6xIe40A8QE4F0NrtIVcXWumAaMcYy20RHQK8wfZhZnQaoKyq2qMjweIRThUsFeJtKNBZTTYAnY9SPhMnMGyag10E67qiiwEeDHUwTm1++VdyxZ3cY57K897Q+wp7ZikUC+Bgcyn2vF3FwSEBuFjIctcOFcLVUiByxPPPvx+HZz4Jpd6buzsBxr3sZS8vruwAyl72speP8hIUWNctQAfhCOgNoNfo7Xm04wfw+NF7oOtzIHmIUhoKWZgPKSHSh8ZR9dxrB4Q3+zTmOgyXzQF+PmBjgA4Uxt1U74smwnxBBUIbgU7uDMCMmtncykNXHN7N0zXMkpJ/jXtFCRFbTYwivbdup5htoAmmACNbjzWGMHQIhogkE0P9EC8aGis1P0cepx7/BW1eM9Vy8c+5oQ9Fsj88XCQEDM0o9DqqhTaFN3X0sWtKTF2Q7eDQMQjtAPXxF4gSIM20DE4O8DZsYTGNIRijPPRPQitGQmPDOOYucmhee3QGUYNK8BHsGkbPtlZyjEewC9ITranhEWEsMXejh8J0tv4W68sJDJvHMVoYRkbUH7R1WsYYXbR7s6PDmPZ1m4b7xBiZjJCh0aDTnPJPh2Aj2Ty05rsRqkimjDpLweocIM2KzFgjfdTFGQSpiWOdYQCUWj+l+CmKa2aQM9bgFtUwPAhmdLKzMyykYcyd9GQPXGiMo89zynC80KOZO1Xzy2FID9Ya+TyMvSgAyO36Nzxx0rSZxxNhvV3Sd4g/pz0zr5l8rOl7AyTJfSv3mqjSACnOv3syF2Nfjj7QbX9MjfNvh4DryDBECAwm5ty8T1MyoKyO87NhrstgwEwKqDgFQMZYnzBlNsCg1YX8tdMwnNOiJ9+dC23GKp5LvGnHrIESoUm2lixcjRkjTXaTsc6m7r3ToRD7cPTpGOjLdSY6IQ9GHadxjWmT+4j9HbpMtm9z3mpzbQxA4qxXYzJcaAZtPiIDSCIDpnm6pv32GRVMo97RmrGxCABxGWMXTL38fT6uhNBzsbZuntE5/+f9TvO9qAegJlS9GoBSGFBpuL55bM+cKfws58wOouxlLy+67ADKXvayl49QGYfTu4sbX7qi6Q0URxR+ANZHIH0Wj579BTx6/lfxvl/9n3jqoPiYZyqePlQUIhzXjrY29OOKWhejWJclgQ/ADh29u/fqpC7pbUXPww67x2tZCpYaIm4hCGcG3fHY0VeL5T8sC8KQzFSJ80G6hxHLUIo0y/BzjRvQQuBlAWBimuGprqVAtaOt10kxri5iSMQm7CiT8Ql1/RK4V92ED4kqAEIPmnNkqfFTnDvoEaljNbKXQEGoyT4wGQHLFAQQpIQhZVlnzJs/hC1DyNZ0Qv3aqBbyIZ6SU8LgKailoBBbm9tqRklv1gYwpA9RUQp0gwjSzHQutcJEVoeHutbq6ZFXE+Z1dgJ7GAycsTJPjfzTgSdjRAzD7NzWsQwgEdpl9zsCrYPWFVxNs0SgFmqiljKTiXE1ewwnkdnwbpvQpwccsWW/uXd1H8wLiBZQ8TFEgzG4ZsOv52E879AH6BOvK0rO+2Gca447EPKdmtoOgxUC2JRmo7arIIQTI3vE6LCBzBgwAty0IwBGPbhhURgmIMOWIjkFTI1tcuyPvV0dh8XmpAEgI6wHJD5uYRibgWPrA26DeNYrFHCx+bpJPTvbG0vFcjggwY6pWMggPKRrGNOkCunHzAIiZCAXiRle4OLG0hB6Bgz4ZCABDzO6RmW2srUBcAzgSjK8ILQd5lTGYbyZsHEtJa8DGXo1pdiaL8VCIAsXSDHQsPXV2WsB6cS8HYWBkTIXAE1iwJPVjAjJyrmUOkcerhQf9flAPlaHwz2I2hY2xFxj/H1fgIVrltAsiWzcJ4akGaUe/gWbZ6f6QMEikz6to2ShiKcLdvaX66SIKMDiAP/dz0BVeFhINHh8foTNBermBrUCvXUfn9HXkUkt2qZuSIdRHzoowYprub6cFeVaVszTnrC51rbMz1nAwpOuDocEc+J7KcQuK3ipIJr2IhmMnt4t21gpBcsiKQBPDH8mL+d1KBWdBK1ZanGwCcAnaKYOiMTUIOB4XLGuxiDkwuBawQfTiVlqRYYSetuOxxs8vr7Go0ePUKuJCddq2bkKM66WBRGmKCroKmi9QcE4iGRE2NVy5XPe9gkm4GVP30cXQRcPDV0VrQPFAfTILiRqOxbQ0eSI3oHCB7T1ER48/2vostpNNvoyp7o3e9nLXp6k7ADKXvayl49AeWHwJM5ic5w7u/eIqaEdH2B98Ct47gPvws2j9+KZ+4x7B+BwMMosJk9zeG5Ix7HH0iHq8B6lN3i8nx4dHSJyZiR0LMsBChPxNFbMMFagQ8diCPhd8OJt2h8ecPdkK1K/IisdBoH3YXi0JJ2g0QZnXzhzIdMVT0J98dvApPBckmURkAh1sc8NUo0MT9c0PsnamTztSZWe/L52tQkwiv6dNAbsOmGYR//7fUh9OGkyBJ26TJoGW9xxEwqiALsmCiYmSzjiiIoz+uOFKZwkgC83vjS9nNPh0605QlDLq42/qGt5AIUp07QyL6ZdQWV4qNNYdO0Uj3VHjDfSF29AVVlQnbWgpJZlhCtqXfz+HuaUHuUT1tWm7jEnBjsjZ7R2CBgQdckM9jVm2hsBoKgPnekOuKfYwQqwtd/GboxvjpgDQiqS+hFGEAlmwggjGumgY8UNlkukpjUP72CXRGhUbD1MgDCmeRuzZhjsBJ6Airh3QFinuh4zbDGK6skrMxtBNetjfTH2DoKl3LWXZhaTr6CJmSYzIDw5/3MP9etmeIPPtU2o3CzWixGKEkCnsZzsI733jfGbs4mGB304tWNNR/MnsCT7xZlnm74K9sbc/olp5NfcsiqcfbLZZqf2htc+9uYACqY6bDoxaq9DkDjCvu56dm3ufgc4Es+EU1ZPPJc2bMM7rgEIVOIhMfp3pISPzo1sTLi8DyRwMjRIgjHBIOjEbIkhfZIwVWQfTy9hzADfmsae7KyzOfQpnw8aLEoAqPZvW8i2JwQCMt1ngBGTGk84AOK54nMvl+Q0t0+baIySbcrsmPulGMhSPKw1NIN0ulA+EQVIh0SCicA2dEnzdUrgT7EUcxJJH+nADdB0kMwZbVxsT+vtCO03gKwAldx5sQE6dxBlL3t50rIDKHvZy14+giUOblNYwfTHfG5JTQ4FgBXt5jk897534Nlf+yX09Vn81v/3Hg5VsJQOdrV9C+ERE2oM7QuE19WNchnGYh7nAzyhYdgSCLUUXPcjem8ArqDKaP0Gij4OVGGsZb3ZD3nbU9gp9TgaHQf6OTtDtFsxPKoGdhiYEI5xO9daCID4gZAThHDjOAwsNR2RzLygJv4XOiIJUAR9GDMw4XWY6yxT+sge7BEBeziKpH1mbIwhCAkAYsCNunmjDGgFpTDlCMOyECJ4fwaAosBGC0ZzTGdvm2ocFcVZN4yu9rpRynV7lFRMQqPTHGFLgakQ9/iNAcjsHbB0v0oC1goGoc6GHi8GnhA5U2honECb94Wio9n1J1tbARAXFGYUVADqGp8FTBW1HgBiC0cKk9FDTjYsimijA5M2572t1HMBigBE6qiDzT2Rskk1Swj9FbgApvhac0CTgNLJx6AkwyQAD9MqsTkza2qouNHm6Z85hZ9d5DKy2GiAV26YxlxNQ9vmV2BKlgBKrW49Zq6LPsb6QBi3BqhB62R4REjQWAMBUM6GZYAAU3f7/3v/xFwLwx5iIFu0w9eKhWoNXaVOrrEASkDvZFin/dPn7pRadwumxoyPHwMhgr1mAItM7Kqt3ssI35hScpMimEZpkGdHjGwm5G7/EZYYWhE9AYZNuJWHZI11XcHJKjNwUgVj9KfvKwZzhTGSHkMn4euN+Pa03wX7JdPOBgTw62N0xjwNQD/31ZP5c/Y9FQckZVN3A9YnkW5w9r8Z9vEMok0rZtbfDA7YZ0eYU85DmcOhnrwQbJ+ItRJhPdDi+h0DvE4mXIRHqvqSt3A7OdEPOwNr/D7MnEyqzDgnYrBoaqL4vnNH3S1cDwZ+UNSfwaWYEPkEnsQeOe8Hsdeq2Poez7LTcKuT1iTLEVjKkg6dAMdLtfHpvfkZglEYaNIh/QboNwai1CtHr4JtFPd8kYO4l728hMsOoOxlL3v5qCv28M+jINIjihWqj7He/BpuHr8H7fG78fKrDjow+vERmhB4YaO/E9KTZ8aniUWWIA0gzQoMfQa78cZfRpaelQlgEjAauh7R9dpSF7ejHaB4eMrMMAxGB4+UiBGO8gIJOyJlsYW2+EnX2SldehododMAijAhBzLURQNHU4fBFL/o1HscGSiMZty6GT3B5lHIYAg49ZhU0NqKUkbaXYWidxPS6+2YIqUm2stQUveY82TgeFpGqIEnAJgOYCwuiGjGmKgJ04o0A1y8MYUZxIzCS4IQXSOFbXOnpIdJMGCeS7i33EOQCgHOPBDpXmf/uIRR44ZYIkIFQsYqMbFcBrHRu5kYqJGJwjRiLEuHBzf4JGAQWnucmWEMPOlWF2aIGtBjPTzEGSub4UhcHDgwIUkCQ2mB9djw4IoMQGOaaUiD2cMlBAJ1sEHcM2umiQFkXWGiwGSMHps3YY35mMIBzAQD7acUMkDEryiikO4GhMY8dBCqBNOjgmnB1dU91MV+mKqtWoIBZ2AIm5uXxVOX3rK2COTinQ76CAN09PvTYPyIgMnZW0xujPC8oAAwBAZ2gTAZQsMgvqukBkQaSsHaIVSuQG8ATBBSpEG6bNLfGgDghtbEQjktA6jUQAkCYd3Y/5R7hub/jzbMjIjpOxPLbgAK1naZ2EwZHjEZ8gDMeFMHJbxDKAx+B/bivQ0G7e0thUemKWYHDh2IcGBuhNx4XRgQneut2GQEm4F9BQLA0gDNIoztBcY3+uecf3G5RLhKANQAPDzj7KpT/6kLGPNmX7FnUIQfbmBhB2wJrZmIbCnGtiuqkN6GbhMMz+JBJ3Lj3/rMQIB4Bt3aA9lPW0mpARTYfXzdg3C8uXGWk30uf7NBylC2cEtpsDTq85j5vTb96sCRh6SpKpoEKDZYNxvm0RlqRbCMOmSZorxf2DMOlVJwOCwArnwvZgt181DAWDvGdg3BW4C0W3ayqROjLwaGdQp2KlQ7CBWlFtyvC0QYDx7d2NueLYgJKEuF3Ciu1yOO149xdXWNWp4GUAEqGaG6gyd72cuLKzuAspe97OWjs9D2OGRG2You17i5fh7t+ADo17iq6mn91L2mQJk8wfb1yUDL68VvnQwFvcSe9QNReMI8LEW7HYBk+CIxqahQGsrjdBKhLiWMjItF8/+dfIFBNXcDiGZDmFw0McQnJb/LG+MmukLN+Ji9fwjQKgxiBstknE0tjB5L758KSATC4ZUWN1p6giKk5rGzs5od9mfwxKwtcW9ceKVDn8XCRdTN7jjYs3YEy8AyEUUaZatDjLvRwcMWc+9i4EhEZoyTpYNVIRC6GdE0WhxjjmDxaHAHAA2vrHcRJ9BRwKhQIghbJpsQFyXv62BNzGM/TJ2pn63FNsZ5X/ducknDKUKKMpwmQzZCXPWCnUN+rzRUE0vINqWezDQ3oSOlqaflgE6GQqTVhMIBi2Hosxv/nnMo2zSEPIsf6gmEBcwLuFQUrmA2HZuYtwlUUgAnHtJmruHs11M8IwDaXIkR5uRiuyQGJBV2bQGv+3akZgZKGJ0zOIBRhwkgGkyH8daAdMjnPIO6z5VkX3RvtxnFkm0gEzy+xQgajJwABQYQsoFdaFvXqSVTO/131vlEfBVTMGN69HVgIYj6292RQG7srTxmWd5r/JdVtZs6kEIYQA65/snE4ECA24J5IsT+Ef+6BEHFHpl7b+yfuadf7vOo3l3vn90r6zr6+Swjztl3pprS5oUBAmyRsLxuz/CPoWkl2qd+iyl/PlefNMQo9ob47umcYnDOG/jzR1zrYx7TWHrG9ojn+1TPSx1NY88nwNkgI63w5gyQWjTzszmfjKMPdLQ9UEECpdZJrdWnpbM7Y50Ho+5kjMe+wZhF6IloEjHXk5+c+gjnRAJnUCDDDx38ImNtSV8hbbX3A1fTqYl72ctenrjsAMpe9rKXj6JCJ78BO/SugF6jHd+P482v4dlf/QXQ8X2oeo171bzxjfyzXfPMNh/yhslrr/fJyweioQ8gOhlKZiCVcgVVE6EjgqWBbKuxMyqPzDWi4zBf3NMenmFFekOLi1KetzWKH2ahIGE/VK4JqDCTs1jC+2feMTOM2nSwNY/s2bVVAS2AKLoIGJIAURzgQvAU6NmGM0coTPQU6oKgcbAVFx0E3JAWSPdDYVGQp6lMA4Y8xErtIFuYwHUxForHXDCJiYGWYmkiW+i0KJal+oHTjIHeCZaBJYzp0Vd5RvZ0m/VwgAnu2oHSEhWI/RCBxNggxO41dGDALmkHZHUAi6ig1nsO9RQQFgAFVMjFI4dkHxSwdMUyRB6peh8IgAKFxbOb1ztCrQgAQ0sxT2N6Lu09AxDGvA9vsqCbp/bifLBDNmBMKtYMz58M/5iuASb17AeREyBIYcKPDhSQGNjDCSYWy8AEAxOFyCIjPCOSaZUwuFTUcgDzglKvwPXKtGPccCjKoEz5awEt6MYEEhWoxWcl4ENInzMwG92hdxNAkgqaNjO2KlxnxnVrEixpUFjKUBExw2QKkRt9QWnbpqqPBlPHjmAEBtTmCmBea6ICppbzV6UbQ8lBNIo0zhg28xwqcFpGVpkAN2I1h4E6y89StjMHdAJFQhiXiwlGFyrjYzAgUkIIE+Kg1Ay4jLrY2ASwYcD06Cn7xtBuiTA3dWaajznZ2lFnaomzyHQCc1VXxF4DqWlc4yRz2gyo+OxGZHeKPTW0LlprF/v6gy0S7BOZdVC24zR1tP01Pa4MKPONDASCTG0b4GvvHa01tOZpvD2FcSmRujvgPCTgadfX7JGoo4g9O/h03o9WYR7H7fow5lswjmI9igC9md4SmeZrZkubWVDq2j0WjXo7AqDO8AgQhcEj5LT4XhVZt7Ivo78nyqr3vbieGqgiBNoZ5IK2s4jt6LdZf0i02/gKIMTGkgzWCTmAajGlJ+t5PC8PB9PYaq2hVtsvl2WxsZUOsAJsdSNY+vd2fIz1+AgH6UCxeeUSU5m7by972cuTlR1A2cte9vJRUKYDis4HPgH0MUBHAI/Rr38N7dG7odfPgvsjVCgKiutLeEYcVgCrh0PE4VkA92qbMTl5keC6CO61HN66cYjsLWL5zdihBGgI1O1QTSADE2CHOaPzC1pfM6adeRwUrcyHs9ODEvx0LPlP969Ch80YpuBIeejGR7AV8vxFccdhdKsC2gXCxgNQ6XYPB5QmqwdhZFkoU6g/UNZRNYyJ8BRH3xIYoV1RXESVAAo9F0nRwBB3jB8lZNhNpnIs1bzziHAGHUCCuGgpM1DDi1ncoykgVPvRCkYFUXUPb4BnDZAVBR1AB7o4UBA6KAb+SLd+CQULDS4FCbCI096DEWKZXMIQIGCI+qobTdMyMBaFGwuEyas/j6PnvBHLKKMwEMfCtjjnqnlaR+iCiZLO+hVhJMRrOtqZH1EHAGJODhZWZJUKT27OXnXPuVp7mNjGKvVXvH4O6BATSNmZWR6KxAWFK8pyZaFl5Z6xT9jAB9LQfQlmkt2PKYyrmIH5BxJAUPuehYupG97qIGlHl45aFxTyee9MHy7FjGkRSG/ocoSsNyCY1s+40TB22U2TBDrUjCYQQ7kixSfpCkQVhRcLSRMChC2sRgWsimCXJRuKvP8nIPhymI2tjwjVsHr4nCea9jRnk/AICUvRThf2HeEd5IiqG6K0NcHmuWHf93kVhqwbiIi1sGGHaPY7czFsD5rMBBGxzGRs4BbBso+VYqFr6uEfkuNMEImxjj0ydqoIhIpxm0I5IgsQHGQMfRwhNzzjQeA7buwVDg7HMDDb9yiB5gEiBaklryNA7wPct/+/JUxq8+9xjSgRCjo+5697ivJom/o6DS0M3axrJEpTuOTeTmwZ4ojY0vcGmyUYYYWdFWjfGXt9ZIKyei91gUYmIde3Mq0jf8IQpZ4IM+PgGXws3NSzVZFl+LKwFu9X2rZBdWZ+0ZgrAVgQ2f4Ce/YwG8DBxZiDXAyw711xXBsOC1DrgtTEIQOfyfd0+CxIdmAlRAgPOXNTeoCQwc5TMEWWwOLhuBbC1XrH2o84HA4AQlycbT8nJONFbLHl8yfYn0yEtq6W/Y0pnyNMYy7dgr1Oc28ve9lLlB1A2cte9vJRUGjzlx/jEACK6g3Aj9Ee/xrag18Brj8ApiOWxcxTRkGB02irp15UhR1uhr6JHeQ6hn6+GySE9NTEreczQzBPADIB0aivErSTGYCgEL73Q5Qbts08n5Zqdnh55xSweVO49x3jcA+vZ4R0UISQSBibtLkEuzF42r+pb+B6FWoIANTj5zUMczdwIrOJn0PHdfxQDBm1s34MkGkyhqB5sDPgxAGU8BYqnG7v7BOS1NMwcscI+4gxLKU612CANDlzSEEsKOQMB+0opWJdVzRdQVhArqlBtIC5JqPEKtNA0mwMpEPlJu9hBrkLWOZ8isJQdBBVBNPJwqeszQgAhTBmnrb04GLUwME9ShliDgZTGnhx5+7Gc8IZDiWM+akyvOdwXZKePKKt4ZXisup3nk/TG3Ag7pYQWhqQ0U+AeupWBzLYtVlOjblggAicsVVAMBZPcYO4LAfTLqDitvVYp5xeZ0JkkDXGug59kbktAdookHR9ZSgGULCuDa13MLsHPAwRLuBaUl+ja0PrNzjePEAlwoE5g0/surYncPF+Vlu9hnsYe0hLNWORGJXueergg7NNOkhdPNgZURwGIVHuEzE+aQiH+OZUjFkQGhmhtTGyd5Cl6vCQAFOUCF2HLr6XiZr2g6fB3eyBMsbyBO7zvkam8iXqDhpF7GPszLHfD+M69nRgsDNCZLjDwgyJAa4F4GrpwH2GCjUHKl24mDmBAu/E3L9ifszrOeaNOotDEABDsTXagVAHso+q74GEeW0Fq2AIXG/Xnci4c6yX3gfLLbe/KWzoScsI/7vwuoeF5d620f9Apg4OJgwRgQ6H/AxRPMPIwMQeWh4AMeNQDqZPVHkAbw6A9Uz3bHPMQB4HGkV937T5YGyfCBNTBxAchHIAUoksxW/fMuGi7fbs8eaCYYLp4wnCDtAz1RR9ZTKdk6Uu9rwqNodFBOvxCGbGFR2QYtIEYxQmCxNWfzaAhMlYp+KaJ911tgJAiWkRWdqCgQgHZHoXHI9H1FpQPPsQtLlQuAMoZLonzOr7ls11gmV/b+vRAZSYWGJ70S3AyV72spfbyw6g7GUve/koLR3AEeCHkOMH0B68C8fnfgnro/fiXr1BpW6HcD/YFipx7E2a7FDtn66qZkKKwrNXDGOOC59lyzkrs9ZAHF78kEJuhBSyXA/hbSImN+jvuvZsHA/jNM7M5iEmaGS5QGRUmQ3XC3W1E+3JfcIkd1aNNjdwI9Z8xJxvnJvTYZp5UKeTHeKeuPAsY6r/eR+6wcXdrAgaXkYDeQSgyHgh6b0b9BvKQ2IcFBl+ShZnHEFQeIHoCtEVXA5gLijlnmlqUIleADwkQ9GgsoLQUXgYo81DUno3McLqDJkwaC2TR/FQpAbRAkbEm4sPKUHQTIi3Nag0Sznp2aJCKwJEKM6OgJyGCThwxnBQbQ698BLf8ZAIRffX9OSzYy6IdJ+Cp4FajnJN8TzBANlMUL9esE968zFTYwUZkFbdoABm8JCIUIiBCeBirij1AOKKDOnQCQwKhppnRgmdkMjsYc0PBGfb7MgEBAedmBhCdp3lUFBUfa4s4LKg1AW1BMjSoLpC5AaiR/tBsIaCCeZecJB1Ow1m0EhrasY4eAHxglKesnA1AOpGlgo89TqhOJjYgWmN+fjMaVgToAvvd2ASihGqZKEtlk3Es4SdiT/pyb9lMwcuf25+bTuPZm0HM/LGXiMyhaJN84kCnQNy/hiDzwA1oopSrsDlACoHX/N37LGbsIx5PgMhGKubuvu9YYwyZc/4kmOsm/1x/s6FN+xdvdRn473NDy7rWL1wSWhgqsd0z5g/NANWEWpz+730bG+Y2/TBFh+PWcBX69SGO9oe6e4jnC1YVQH0xjOG4llhYDZgulEa/YAI71R/dtBIR1yKib52C+HtvUMwmK29r4id+K66hjh1sl79vGFsz4bYiyLDEJNVpXf1etiPgTEBvNt6bm1NfRfmggqGena9qF+tBSLX6Osj4PgAqE8B9T50GvNLGkB72cteLpcdQNnLXvbyUVAuHcDMmIU+Rj8+i0fP/wra8VlAHqOWjoLw9thn84ypEb4Sns1xdYWDK/7brVAA49ye7O3p//Pb+c8TdGE6O01+PDM041hCXjcV0BTKcNuhKxkv+X1Ke1X9AB911NNDe3ZnHEhPGnh6IM8+cw85UYIpw7DaGt5RvRCePb2k1fXuw695rM1bZmkojRpuEQd+wAeAoJqLhaGkkerhD5HCMlg9On3PgBZnCbEZ5lQOnrGjGLjhIQkGiMxGeniGFenbJGNKmNHtw0rmQQ0NCvLQGcUALTJxh2dJ0t48HKGNQ3zqLATTSBEUbbMQ3GseGX82Yx+fcQPQJrsBOBHGlusiyokeimLz/gh/ieuevLeZuzT6KlJNuyEo8CCZxNVsnPLAnmysANFivAJs0PSYq3YHDE51MYZOxSVB19G+2Vhg0wnw0C8lBorpGQSIw549yrKpBCBrY2s6KA3GcihQ5emWAaIABq65V3jztrOGiH1PIAupizAcB38CCLH1stUliVCFzWvT7+CTzT/Wn/Pvk2G8tGwnMGO+15OX2Zj19nhqelFb+2f3zXsG+FLcW2+aJ+yhXiE2DaKz/t+mJfbdOPfWCdDQuS9Gu2LvPd37Y5+8XDT3gkvv3YY3xPNpBlAQe8otdzorm+36NjDnEhD2wiX0Ts7rPc8/ujBXzu9+XuFTAO1uMOf0grH/90z1LRn6k+OXQCbl80ZpXhux5wVoN2oSAP48pqGXpIADxRG2edI7094ZXx/iuMFK81XrYLVihLjGnmgAymCWBEu19w5GA9E9+DaCnntwB6GgkJoIf7tBb9dgXkB6BXtW+N4zdfcOpexlL3eXHUDZy1728lFQLh22TPcEN+/Gw2d/Ab/0S2/Fxz4luHcQLNQQ2V3sQc9mCLunKLylQxtgkrLTAFGGsOw4VHuq1QsnXE3J+idskR+Cy1LcQBaINKgKCleEEXneB6ev315ENQ9iCENJt97V28swNnQywLaCipTXswPkZEcTki1C0+3t54UPv0Qe664E5QA6FIWLX1NA1PLC0rsdFNW8iaUsKMQoHF5FThFSEzo18EJFgGIHTC7VmCf1HiJUqcDADukDWOtizJGNqUoLQOwprWnYCRRgD9yb2AEFirrBTQzWkgarNGOgSOvJkgrat5+gYfouzc3vEWMfdG0lBhWbJ+wzWeb+1gY/1YNkhWoDYU3DejMH7hgnDYNBdbMmiMhT+1KKR45QMtODGfNYMIMj9rnibIJhLGkCBQRePHSDAehqnt4JGCWfiKrdWTwNXdYEphKkSi2CzczzQSvgYhl9is9tYhlhQbwYW8l1V0DmRe7a0HVF0yOaXhsThRkdBzdWpnsoW9iLkum5cEEp1QQeQ9yRTVvC9JrI53mzdkQIYgCFTGlkm5E1jL0xrheAo3lqYCzR3AcJoEIWRpXG5q3T4kWWMBQLIlsSOQuJPTtT0dDWOB2p0HDyXb4UKCpIgVIOHrJwsNALDA2NszmYYMJtjSJPBXxedAq/CeDnSRkXmXFpvp5cBlDCQBcNAVnbfbrYPvtkT4QPTwmGYfe02ueZ3QQhQj1AFAXmMDPANa2A+VE6z8dx1Q9i8jkY31pzsVrFwstIsR57Ntmun6BchPhOYY4yD1CydEbhmGui6LBQuN4FtVTUemmkJOdXOAuMgenPLY013dE9ZEy5O3OyWRggFxz4gLoYqCsBbEOwthuwAE8//TIo2MLu1ua6X91CRwuhrQ9ATLh59H4sVLAs96GdAFVQqbfCbXvZy17Oyw6g7GUve/mIF80DbugbCIAjVB7jfe/5/3D98FdxdWgArVARlCsyDQ4XCWWO75gxHAb/qeZCePXC8zoOCiMlahyzN/45JTdy7wZRwjNk4qVAKZw0dA2h0tmDlYKFk6vrtG+83oRxjgvBzAA8BqNlU5uLdbTwi2jxhffT+xZslHg9KhNXHwfSoCNLD6aDx6yHtn+yXsKoDqPK/maOA60ksEE0CTKm56+blx/TmXjyxoVHz7AhctFGY/yQELgsmU44tCLKLOzrBpgIQcTADi4mVsjVQgaYF0QaTANQFJvwFg2thmaigiAAIXxp1wxRW/WQkwibCU+lqoA9tp4nFktAfgoTyQ2Nhwn/i260Q7EMrYPByBAEm2mAbafzz+Y5OXgiEuvJ54WHjFgyKV9bCGaBC0w6EMk65kip1cRhyxBrDNyIcj5bKE3Me3FGRggxG/DgAAo8tW+EdsnERBE5n+FkoTsEFyf1v0HsAr/qrBcGsTEcCi/GdABGZhSL/4NR7s3I7eR6E5tQGEGPkEBlROgI5/oxv7OoWIiVwuvv4Bo6QCPlKDnouV2TNDFvMP3o6OMMe3GWFxGAhsjaZCKyZbM2PzgzKtZBzLW4Bg8GDY2U47MX3taSh9SdGKwjO0nokBAKVRCb6O6o++ZbGPsNAN2G95yG0kSfne7vpn+CzCDlWIIZpyXu8wQ9421SYKN7tPmMyPiJPuAnAcPni2TNL734QZXRL3IRFDq//t33I8DDZy+98cHW0opIrB1FrT7m0x6tATfTyDgUYJW4sG7otSgIC1co7PlWtaJ3Qdc+gEbR1ItRvr3yWyeFzycUQAk9Ek8BxhRx4VgD1ASVDSBUKh4CyVDxk1K3Z40w+97ojo3sTHXHBLC2FX29Rjs+Qr13A6D5oyf2QhuEeWR2Adm97OVy2QGUvexlL7/hRS/8tT18NyhuIP0R3v++d0Db+3B16CAcIdrBbNTTJs0NYpix4QbzxlhMQ32YoRePOeFlvK3Om5AWHQbKVNgPY71LitGF+Csy60Hcb4Agl3pm3NfuxdPbKsP7TESeBvf2chaxk/9Ppy8a+HBCYba/LTXp9rrDACpUzJnmBl70V2aBiNSaPAw0S0OqeZhNY4oGqGDtDcHJ0X9EWwAs6m4HQDOcFJ4ZQUKHZvHQHRN9VTHGi41FACgE8UPtujZUy6FjXu5i6XR7N6Odcvx8PCKriNO6yYEuJQJEIE0MZEpD38d3ErINWrigw5R01rxH9JuSiQiS6rDXYyzCM6kORk6CkaHvkDKfOvo8unGT7cOvFQmZrC2ahn9heF9GFTwkRj37jA4ojcgYBAGg5O3D4o8wJgeQIAqBaYGIGJBiTfSKOKtLPdMWJICi6EOcGQKmd2LGSIR9WFiNGUkoaiLRZCmLI4vImGZqrB5gmmOUoxPJuec79xhn92Tn7CekmLKKmAAn4GFczdqVWi9IsCmqEbvVCPlwDMm7M4dQke10xNNEJmNk0hvufWEVw6ViuhFuj87zZlN0+j3eDy0Pmu8V1809ATjVTpm/j6xbcSHoYuOZ9dXpx2tMDjjqDOxcqPXcb6cgim9q0eYIERzA/7Zs+yUQTfv7LGQq769nP/aG+F461ugtT7BoMc4BsPHM2r426ntxKC8AGjOofv5hr8ELGN0D9D6/dlxqe+snR1ZUuwnFewYleHpiey/CGAPQg2fMg10/wG9tnqnInSCeDQrFn4OiY+3meMnZuMzng9jvS4nKOBACcqYInIwSZ5j4juSzrngqeHYGoHSkqDI7U5Foe18gsvAA0o8AGO34CNJuAO2ADDFlOpkTe9nLXm4vO4Cyl73s5SNSxllpPtg2QFegP0J7/CtYr9+NigcQPIS053BsN+ik0Keqf2f1w43Ri5ldCPZoNHjxw4QBDB7ne8dBbIAbk7cRhH7TAIKxFdi8Wq21/MYQM2X3HnUUJs/KIW4UCQqZAVJKHNjDCDTgxej8nIySLpZKt/cOKiUPNcTzAdRj5MM48feoh/2ruFoWxAFXwqC7DSpyu2dk6Ii7uPinaoIj0DBOCko5YFnMQ9Z7Q2sdNzfX6G1FF8uGw2ypg0Pn9ejZjaiMMKfeurFPeM0ZEigBw/UxSKH9iK4dqg1MFSEOaKKCYUbYmJelQg/jQNqah3mIQI/dAIve0BugUkC6gIlQK6MuV6jLgnL1NLgsqPUKNWKZJlqO6WF0tN5yTks/IlLjkhKKEoai8fg9DOkAY9zDrR2iDd2zsqBUY8QsCyzUqKdYYBgdxvQoHiY0gVCqLhxqoVAmhsmodcHV1T2E0VVKDWQDKq4pIBFK5fMtWh3CjLMBHPWoZnAWMkHGwsVDUAK88bYGsyTXgqI1q9+oJzJUjAiZtYKJYSFPbhwKPGzJADy7JlkGHdetqXVxb6uHfRCBKIRqydNtE6CRbrt6vQTQCoKgoGKheyiFsTxVoWphRCPzT/QVA83XT6mZchUuglrKggwxYQNnLDuTiR6bBlR3ozDSCYeORxjmQ7CXNsY5WfpTKJarBfWwAEyO2yruP30YgIDqENWmYNYQ0GN/I0vZ6mmch2wEjTU3gRfEBkhypqadDHQKBsyoaZlCk87ZDRgMFA7gq2ApVyAqUPHU0tohLdK+doz6+DxMEW9BT2FmSmZYgNI2ZTTXY60FtdbceyNFrar1e6ZI93lZa/U5tJ0Hwaa6K/wn3qt1HM1N/6Kg1mWwsfrEYvOdvER698L2DPF5neuo2xzuMglVl8XWKofBPCPm1nNM6YYYYNvJs8MAR8WyHOzvyg5UU6a/Hp8bgqpQOPtKwNIzxf29q3vQw2LzP5ilNIFfLh4rvn+MkBtNwFNznsW8ivBegCA4HMLBQSYQ21e0do0I/229Wb2Pirpc4VAP4FocQLJ62hnAeqOWaoFjraOWChTTqYr+X4839sioC7iS6/8sEFW0JlgOZN9TQpeO481DECuYFK0b8ydC+MT3yC62tg6HiloPOBwYvSvWYwOoI9h8Can5Gnn04H2o957BvfYKlOVpbNfvDpzsZS9PUnYAZS972ctHvhDc2Okw/YYbtJvnsT5+FgwzTEVWS18bn91k5AjvVWSxiPfCuzao13G/szjuqEd8JCi68Xn/Y1zm1Ne89cyFl3m47jVfD29U3DkO2/Z78g7H1SeP5JzN4gzsIDp5f7gLo25Btoj2ZC2iQvm1eC9CAeCZhByg8WNZivJ5WEQpBaoheNchFOFRNY2f0KeJUCfmuKkzCs68aLNaDYPc0EYXj3eHsVY8BCA+OQ+e6ZPYWIT2CDAy+1j7GZbZ42BhAVRQ6sFCf8qSRjBFJ0l4HWPM1KnZNt5GBW8G7mWK4U2zEMMUgFjM5TzOqrougis7eFaW8TnNNsdFh3Bi3GA2V5HXgw5VFAoB1xifrF8Y6sjrha2VYSEUwEgYoHCGgRsKXBwks1ERhXmHp3rNFHdEutrenEoPy0ZDcHKE35ORAMrUpTZjNWYugdzba6KwBpxwZOEhS2McAsTs9QaRhxkoRi/FXGZPS7qASc2QoVNI0mehpwgOwVNwMYA0gK+pzdZ/I3uY9dFg1QwWkIETRgaKTWDb/uF2h4WgcZ2iBdXDkijnA3XJ74z+0wQTwuhG7E7koRypO7It0Z/znmQfO2Wx+dVPmBkbzZ2xAW++mEyq6D9x1s4kIDwu48DrSbpeW6oamGF+drsvn9xcB4hi+5jmUpsqeHafzS3OmmMZyC4BLCMkw+fjKVsF5GGsAXQEy2db9wHa+07q2j40gQ1zfeL5cj6vz2qPWd9mMJ6msLd8hk17C2axaXsuGamNMFKLb787r5ktA2g898wBIdMzwGeeePhfZKPSMf9tHE3Q23aynq+pLn5t9ufVlqGVIWgT+JaYcoY/yphrqgNs1eka0zNXNNKWx55KsJDY2I+m57PviyGqH+ciIo0TEQABu25SX2/Qbh6hXT9Auedp4mMz3vGTvezlicoOoOxlL3v5KCkE6AroNSAP8fDBe/DouV9BQQPQIa3h3r0DDrVCu4lHQkxoDUqeabWgoKDLii7NjAz3Ws6exReqxwY8wXxgopEh44lOGnr2WyFY14YAHOLgXai4hzA0KijpuuxWtqp6iIEfFm9JjZzghh/KLKUpEBovd9b4BJTxC6bhGAaTumFqxiR7zLYf3D2zSC0KdEbXhsoHb2+BsB3w2mqpg0ktbCu8ZsY2mEIn0njweqm320EzZqPzE1tsuxnJi1vbHoIyGaeEjhDhbL0BagfNWhZQLSC6BxHBut6gLAdQrcBysIO3hx1txVW9f9Pr7kl2PcuOyhEKhnJ11kYc9s0wMu9wSpc4OEIwhKBAiICiUK4As4Mf/mHxMKWYZaqQQO9SsLAgtVMYKJVc35FAZYGiZHgTeXgNAaBua8yiPwIM4fSGllLg4iE5NjFrONcRZ79NphymL425JoNBYDoRPQ2Z6B/2PiEip63DnMbwOlJBCENS/ldQaEEpC2pxL7nX0r5pVPoRD2UGh/3VEtBgdJfsBZgX23ckPLx6siXYq6WYzkGthxQx5lIdgMEwqlz4FhgMlMF8mXRgNBgAps1DaqCyunZCiM0i5gCAshgIGNWaxZHz/06MQk2EzicbjT4RwEPzXmgPpOkn7mVrcdjrt18j1riwgCQQCl93IhBiRBiXifXGWM2CsNu94zQV7ymAF/tkrNFSItRpMtwR+8ltbY55dbpPbD+1+TcRuF4+kp9ndtm+N5wExtDjZFxeLgMnIh/2ed5PNaP5w2N/eZKnaJShnxThMREPGM+oi41KNpXkfhAirGNOBVA4c2IK2z4jU7NkAo4y3MadGKKDNWoC4OKsS8t+1voR1CsWFRQqOAPTLpbYoOXktwE4rC5E6201VqWPmU9zcyo0Z4wWQO25GvOpsPFbuzjYg2ZsRTXmKsG3Af+c9o5DqVAw+vExHj37XsgqeMUnVvA9BQ73sIMoe9nLk5cdQNnLXvbyESm0+dtPakQmiHb9HG4efgDXDz+AZ+6rG8dXOJQrHIrR6E0focGkA9iMdzYPvXh4BhUHICJE4uzO2/qEEGZ8JLxwxqoIL9VIlxrevstlHDMncgeA28KIgmbcLeQoPbgFzMiD/7gWjWuGtxgBkmh6FwEYPX3yMo56PFkZtpgfWNOVPYxOVTJhOzKWCHvIj8V8W4hPsABEOoQ6Gh/zgBwAyrJ4/0tk0Ygy6YTQEJY1MlLLfiIuUK0ACULrYgBTcZDtSVpmNs9gIUahmvNFVEF8AAoDhSFkZnnXDtLuoE+En2x6yg7mLiwo3e5t9mh3vMFEOzMkwY1vZnIjWaFSYF71SOsLB6DYQ0EKurohKwbMcVJD2DJesEK0QEigVCxNLyxUzI7vxQx5LlAuUCoAL6PLmSx0DJxznQptwRQ2pRbVVOvItaQgA5zIAYowyLbu/pik0/gM8ATk4RjJpopVPBgcwU+ybnSgRhUGtLBl0iEPH0OwK8acOtX2GXUKw9fqZZoKHeAGU36U9A5zieNULDo364qxk0o5DEFidt0OifAZN/qDRREsFMRrMrK3qO8J5OE/BNTKLiY5tJdM9JjApaDwwZlFxpQpcK97DgZlGFkAJsNrPmWJ8vU3+u9JAZRZo+SWjyG4ZUDshdBgDTgeSOpe9QBCuhvoAZ6sMBHQCUDRWRhXT+p9AXzmMGgxCd1u20qT0f7Ce+jlT8x2atyDc99/8jKDJvEToIo6psdEmxmeulpMUGWUMpgvm3AreCU3LJDLdbjtOTg/N0eGoQAh7QZn7Bf4/qEWWtV7ZLEZWecim02wQuBgARdjVjExShmp5QO3CRHjAOhznxZ/DpGAxEKCDayoU9/gSQb8RRR3lHi69NQyUwIXQLoBq+ZTUVv7GowTBquth3AOiGf8su60flFlC5kF0LtAZIUoo/VncX29ouOAw1OvwMv+nytwvQ+uAezGQeP2c8IEje5lLy+5sgMoe9nLXn7Dy8WHbhr7Df3meazXz+H4+HnQPUWhAi5XWPgKlQtAa3p/jfVgKV7JWRBBf+f0GE2H4Nue+DSDJwEK+AG0WNaW1loeBu0rLwSgnBzUpxP3+JrmGzNd2YyWELQEuusRqCgyd2xeaBiQhnHQxgEZOhJKmof0Abxcqvfog3EbP7i6gZ5ggbv6VNxWUQKowJT/1V9jM+LYDrU9vaV2uFNnG4A6iO2xJH2uWfztITNEbjC5rgBZNiYogbQawMGaYRbSO6Tba2aEdQTtmvz/mBmFiqdRZkt+QQJ3/qGjJ9hD2sFT6MhmKCcART2LghmrpnUzs4vUwzos1MWMF/j31IEfsBnDFhI1PK/i4BEk5ooAzGCfNwDsGhb45n+rzydPxayWSpiCpcIFSjWNL6M2SIISobFDBE95a40P0dxtMTAt/K7ngN1sfurmx5Iy24+mBoJ/Z1qf8Hop4OSy2bAdAApRdbFRmyOB30Ra5DDatwy14TU+Fa6FmqGFBCEo523UC0qeojv6zdMiF2f5KLlB6YbbHJLogEqGo7gX3yoaGTM8oxRM34PQAfQEUGpZUApb5qPQT2IPeiEdmV4yRGfeq8T+E3Edp9OfOcDuFpe1xnidWuOXCrmx533nM0Y8IwrJAFCYFMIBoJCH4zmA4mwh0TZdu+I8rfrt0EeEgKQeVbLFxu9YC0+IoJwVnYzTGUS5nE0tvnT5ZaJ4Dg0mSjAaer+7cgNYtxGNILRNaMzUbXcBKLfeY3qmRVYZA29uaauvb/KHU2iI9B4p36OtAJdYlzEelMKsYEUKJydb0XeIdKqEs0UdoAxQPBgptvcF4/DFcW9uKXTyD7K5FpmpAA/TZHLNFrHwTQGU3XFDsD7w5xl8H+nSobnnkc17ZgPaBZbuvcMYumtD18doWHD/uOLeM5+EhSq4XmFe05rA9V72spe57ADKXvayl4+C4gY0VrT1AZ573zshN8+h4hrUVyxVcHj6HkwbYUWpdsi3dJ8EiNhhkcrITOKeOANGkIepftHY80LANg2pfb9ygaCjwRX6VQYFH6c2wrnHcnMLIix1McaGO9ZD3E9c+4GdfWFSCYPeKy6EZ2Kj7knzW6VXcQoRiQNZAD9x/02I0sXOmF6cDlBx5rXDmdcJg8o+PJtwI5xRa4U6cELMJoTqh+BluQJ3M5XgGia1LOYVDOAh3X4KUE9Qy0xknwfiHjgSSz/LFcrGSim0DKFHtTZwGYDA1SFCQkxcFA44gAlLdfYGBL3f+EEViIxKk7xi9lp39pN0m5MmsUIOYhhowZ49BGypWA/LAgJ5GJR5aatY67oKDktBrcUjkhRNBMebG/TWNoLCnl0XZss74EYEIULH0EYotVqoB2rOQQowhwNUgYcGcWowmFfeBTItFYuDESH2qLdNewTgNozwC59we75nCI6zDRCU/NPvnoN9lgHIXqPizArXOd3Q9/s6jKRJoNbaFKLMPucz7GPWXXCrJGfAbBAOgLEWM2hqsbE2wIxtTslq4sAqHoo4QCNxoCa93y6MSyBjJ6E6QMzO8rLsPcFCOCzGeLHU0S7oGetFHUScQJHQpMmedRBHoNiyg4DKC8Z4ng94hP+YiCVhZqAE++Bk5GMinV1IRcbGo9YzJLbOmDTrGamfJbIybabIlIXolgkaQtyAidoyc4q5GvvBa3q6f85tOLn+i2UsSO8XXvWwjjueJwZMD/bJSAt/6XrT/Zy9ZhouHooZ82F6XjCzi+1eZmqp90mso817OhgeW+0WwPaZWN0xVwL+HGCLqjFCwnFRuDrbsE97kbWh1uogu/OrVF3I1uYheehhsEp7D40p10Rx/NmYjablRf56zoNTXHAMhrdpejPAnemLyrBsZlObg9EHKDhE04ux9+CAPLrYE5fUWZJxTdgzQMa4zRXgmCP3DoAymjCur2/w+PoxHj/3XrTjEXV5GZ76mE/A/ZetuLr31IW05nvZy17msgMoe9nLXj7CxU+ZKoA2SLvBzePnQHqDpQggxxGu4eIPJq5mHloL/whvCWVmAivj4T/CV8g9x9vCLnbZu+bBN+nQzAgdArvW9EU/c4VxGcaX2xDj7BHgTHxOIz4cm0N2XPu8htuDrX14/D1i7d3QmsMd0rvrBozqdAgch74IHxHtHg7C7hmHp0i17xkBRrNa5GAPwQ0v6d5up/+fnMPIK8XFBDyLVqsMSYqYWkYmF9EM7396brf3Vn9N3egUASx8R12QcHRyZDyCUopxptE8emxcd3LEhimYmT40hAot28yYF9G5Bs4AEYZWDaihAGwcrIHT0RkGGmgcsD1fTHF6NwWzqiP0aOCslvSy06SL42FbzAUF1erPxsiwOV1yXobwY4axAZ69RoAI4UGEGcDq4h1E8+CeT9mkkGf/6ADbwjBTFXCMt+fiNbxkGFUZRpQ/UXfrr2la+LzzH/JwGK+MpRpfLVxQJLOQjLZZfyh7JBnCO+3Gn0zgnuOLU1JeBPC6Nahij5rWIUmCQsnVUZuzDGO9kSiULDTHiDizDkOEAJixY0YweRiKZ4PhkmENpAJRsr7QkCKWnAO55+hItzxYMT33i9SAomCkjTk30rk6WBOrKlKvT+sw+sdq8gRIwwYvcyD81CiPORd7fDDFGL7uNnhYrnkDqmkKgRk6JrNBHHvXDMiMsJBzg/OUgTE2wenBcQsINcLHDGiIfrcwMJsfAUzHa6MOmIkXt3fpFFIzqjHapTkXaHx+/pTPgTlNdooG5wNw6r9prmyBhjFf/Nvj/wMo8GuKCkgJGvOL/LdG/3pY3FSHFInm0EWb+ljjb7+PerrzAg//4w044cS8iZ0x9qO5fdFrsW9qoP+BFMMYJKUwuERaY9P7sX51/ahJtyfWeGjLjHAyxrjteB6I+O7NDKYFquZguaEbE83tN+jrYzx+8H7UwwGHqwP0qoLUtLHgzMUx4ogn4+a1vezlpVZ2AGUve9nLR7DEidfo52iP0a6fxfPP/QqeWh7h3lUH5AHW1UVhPfSACqXIYmviB1hnGqxHB1EwjEuOjBpII/zUg1RKQVkW9EerncOUPG1tBdiNJug4wHSPPQb83Ei4un+FdT1i7Stc799KeIiSYh1x1d0PuWGIhQCgHc7My2oVjRS0furGbMjYoc2zBjQLT6l1yYNcKQwiQe/h6bPLkB+6w0McceBdbgDXa4CavkLPwzySQRG6EoUrrpZiMda9Q/rRPseeeYUJgu5SnZbKWUGeenO0edicHcw3MGp+B2DsjwSrolsJGN5loGvoIYgf7gsMxOE8VKoCTcYBsCzs3r8OuHZLAmB9hFIwzBBjBm6ODet6NKMShMoVvHhb1Ly4jIqqVxAyYJDLAi5XKGWZWEL20/pIg53Yi1o/31ueSuaE6BHQbuFFUnzdkJugXncHiGJ+l1JRqGLBYZrzI9NMGjgZHjT62OLhq6VfnksAaBK0eh9np8HHyogpowFqOfW+EFzXoKG3G6g0SG9g17ewbFwAKcFYQYCyAQuFTdOE02CDGclkn0HoBRQFitjahUCwJsAi0tHEGDzq2gpMjLIcAM8UxZ7OWVg8XW0HtHs4wZpdcTh4aBrT6FcE4yNANEomBzkgQyTgIs7NFxRnmIi4Hk9ZAPE0tK1liBfpksaShc0RajkAlSbb3FJZkxuLtV6ZmGRraL0ZWy/AaDaOj+TIW/0KAcSE1l1bAR2hKbR69qyl1s1GKmJ7VqxjS0NrpYllVKqLzf8INYjvbw3PaarxAMyG5C8Z0OQMhRk4Vi2AANJj77D9kBXgYlmmzLAeos0E5F5kaYjtTsmSYB4hT77iZgDTvuv6NlN2oyjruto4iqCU6ulqMYGVM9AWAK16ymQDFEXgGjqMq6t7PucKLpYAkPx7XQZQcqlIxogMsMO0o8LIDwcDudbOAEAKh87OEJ+ey2DDhH7YMPo3FUbHFmJD9nXs8USRFcfDWrT5p+OZaYCnqHiKe3teHQ73fVwsHTQ7yy4QJpHoq9hLgaXecw0Vz2AlExQkgEY6eJ8LtdY8BySw6qwuW4/GjLG1oQB1f84xuBgLsdQFXVaIjIxoqoSO1cAUGHuwlorr4+pP05LPYVULxbS9sUCcYcOVsdQDCg6AFogCj/AQfb3GwhW6PsBz7/3/UGjFoXbcu1+BegXFAvAVQME4m8fr0mjvZS8vnbIDKHvZy14+KopCoXID6BGFOhgrCDfo7TFADSoNWgjKBKwmN7gURqQiND0MhXRYrH9oD1x4xl+K2Z4ZIXbOLGlMYTIE0mWZ9YanBjaNFBG5EN/tGVCcPm+eSLtXenU3aVCNThy3CoMk6co6jI40Zt0MsteNrTAaP6fZ9IMsmQgdRwZDddG68Dia8yuvjc3R1o66ke1EtOO43qC3bmKt7rWtpXqWFgajQrSgpI+RE6BhngQ4PbxgAYPoaHHbkaGEPAQHHpoxezcVmfI2dBAogYSSB9DtQLoX0VlLRObth3Y3cOBGmBsSYUyAUIjRVeyKFntjfeoZhJjJYBcRQIsDKAczNMiNsukgmqSR9GjaOIYXWUEphCg6jLjIdBPhHJbZRyPCJvt0/Is37TdQKg788boDcznDLxclAikDpO4Rnq6bV2AQKgjFQ86czaHDk2lgp8XwdxWQmIeZ3QMLNpFWSu9xpER24xmMEa7grI4EckZNoo0KAZGzo3zdMcH1Y6JCMa8mVoHOvy37TTiTL4VYZLppjMtabcOQdLHcYN6kDkpOBvNM02LZNgSW+cqBjGSZufde5huJGXCFiocJaYaUWc/H2Fjfs4cIRpEA7TwjkoUtGhMiRDijDkQW3pAgYPa868Q4WIwIuUnwDgPEm+49JtCWcTQLpNIYzPkL3k5xwcwQHmXUWmBJoyL0wUbHtIg4ww4DPAEwAQ4j5CRuQ8SoS/VxtLmdmlsU37kQQqNx3cvPprzBHetu20W3G7HsGVhsE/Gx8nFV0ezf+IiIjDHFvOvFs4pG3wPTmEzAvzMrIsvN+EwFmDwsJ0Bt75AMzfN5glNgaEBnBlSNuQCvXyCKwSoJofdNl572HRuwsfRlgBpQD511EWYX7iZv77wnXhqhzT019javkz8X1etqYXpiYyJjXNRDeccYFw89cs2nmeGSDJTRP6Vcoa8AScdN62hKtp+WJc8BSym4OhxQKgASNL1BOz6Hx88veNnHfjxQCqAVW12oU3hrL3t56ZYdQNnLXvbyUVLUQBJtKKxgNJCuxmagBgMxyJ/fjMqMUiokjEogY5lDIM5PPXceMvPueYgxgGIW5XuSukPNiLBD6ORNzYP3OHhoHvTGFebv2MEzKLr2/RG+kN9AmG1b2nzcVKdrw8GHYairAsIW4RCG+alOygBspnbO109DQYwl1Bt6b7BQHAawgLTAssKoZ67R1NEoeYiOkBkHUCbDQzoBukLIswvRiOmeARRVh6gmEEWhIPHwIqYcpxkkCDFKM8Qj5GA2oCLjkh/01QCgMI5Jow/s2szs+BaD1ERdVdjT1y6ZDcVuudUa2BpW4QWPWP7pR+JzEVoTBq0bmDqDccj2wD87l/PjcIAtpwfnmEt2rdncJcDJXhMQlPO15A87iIhtLyPmkrQOlW7YX5hpbHWutFjbnOlhnSST4U15ndDsmD3aE9Rm92dYutIAQNiylWyd9DTNly1gNwMy2Fz7lr6l+XUDH8OQsgw8EeoxG06+7ov3FAGQaS8AEjxRaDID4F3DnolDpIMpAGLdttHBH83fmqDdvKfGPBxzk2He79hmI9SEEd8OozEyDI19aRiAEdYYxuBcObvuCB8jnsJFYgA2xQGrzIBl9SDGJPxtTAZ4C8Q3xwjh2cyStH6tbclI8X4omfK7JGMgSmQCOmd9/MYZoEQhVk0esgcUuC7T2Zqe9/YBbtEEHlnfSe4BAZgxx7q0r8sU7pbjCkZhgNXCVBKQyu6OOePr+2xljf2EeR6vAU4gmUgjbOqF+qeUglILFBWiCyxL2fwMnJ+9tjffdd35vRkTHGvB5388b6a6xvkjwoMCu4izCPMMTo79KEJ9AJuDtSxA71AyRigB6MQQVhQXDa6FcVgqqAKKDukr2voQ14+KnbnkXgJbeQSgWGHZg9is5b3s5SVUdgBlL3vZy0dJUUi/AemKQwVYOyArQA2EBnIq9jg33P7AjoPj8Bi9cBFPBWthLoxChMIFtVQ0aXd/11kMx+Nq2RsqD32TTfFQk9Cic08m++/eG/rFe2lmhrE4agbU4qbTwzsf3NwCCo9X9InpnDhAwwuYFpRyZSlvRV2r0TgixQ+p4W23Wpwya4DwKq+tQfqKLhZaRUQQ1GHYs4EHXRYPY6kgPqTRb15Hc49FiFDhCq0NrTK6NoisHgaEYUjr8HwybkDUQdKzjy19cR/5WgiYWQVx4CZVCAuUKpimMch+bWkEVjLaejBXFOraOYp7V0vOO1kc0CvdgbwIDxqe2PDsb0EbwFLuAl2OaciJh8yIA2tl8pCWZGfQsFXPhorOzrkUKJCcHIxvWThKnB9BZq2AeVEnY6eQhyphyQw4hS17kugI8xjg2ehuu1L852Fi9WkT//VMQ6Sa6a8VDakHM2oKSHd7UOZX03CChmimGymlQIUtPGD0RLJMLplN4nPnhctJh5qln3ovvfc0sAgToOZzKVO+uhguZLX6qGaIRpMhcsmoFk6mFRFmJTL0gDYCsif1T3iBfY2iQ6WZOjFVzyhkej48jaMZzgwLJ4wMOROwE+s1dTrst319gDhh3lvYjqaxbHoUW8N5C8jMjaDNPcK4LFwdvLKQGqYCJOge/e5MwR7rOzJRUYJ4ZQZbQhA8oiPTKL5rPgzD88lA+hdfMj1vAnORhYuMaef3n8NG8zeNcTEA2ucDEYQjlJNQl2oaTaVYmJIKZtHYlHT2/jKgkj1EKZ7VwGA60AThxPjZvCEQ6lJ8zpGF9fl1NbKXqYN+MjTLbgOtDASzEFdFgerQgBqghYM2NLKg2RnhvAx2qZWUTlYDMWNOuzCJMVBEQKzGvNPoN9sXiAJERYaIBUC43U+2AG+eeiatFUDQtUEVlm1uYdy7f8CxHaGiYBK09SG6CNZHz6PwgvL0Mz4ecz+eZLjCtA72speXULlwGv71Kz/5kz+Jb/qmb8IXfdEX4VM+5VNwdXWFZ555Bp/+6Z+Or/qqr8J//I//8UVd74d/+IfxpV/6pXjlK1+Jq6srvPKVr8SXfumX4od/+Ief+BqPHj3C3/27fxef+7mfi4/7uI/DM888g8/8zM/E13/91+OXfumXXmwT97KXvXzIJTwymGKk4YarMw54AkT8RwEMmu4wOpjHwW9+uNOw2G6pxvCyQqfP33m4nbxHsPh/UclD3VxOD/5xwKb5vdN7pZdVp7aHsC1he5uR1Sf+BmjjQZ89auyx3YUXMBuoUYpnCYl7TCycccifjBKdX5v9/e5NRIeieeai1X+ahwX0BBHUvdyWRgYI7RqmoCRXz7wQmUf8x41rnn7IjXWmOWTnHDXI/5IFEEyABqOReyhPZogaHnQiB3DCfpq8nll/Z4Uwm56GCXoShld3CtuY5lF47uP+uvkRZGpb4Gx8ThlTdPIThrOF+Ljhn3WW6Wd7zwGURHjTeC2ut7mjwg3OiX2S4R60Afs2QS6+BsYcdwHUEkCc/0YB4CmJEzg5XXPRthEaE3MtdRime7nbOeAUhCn/62Ea3Ib5brzP814y7UU5p6JNBFi4ga0vUQM3ZPpR6Zt/93g9xtTDnG7d2pQAZxaE4VZcEyl1PjJcLLKdzXtGMITmTGNbwGH07OVe3s7p2/ais4pPz4EhAM4n8+/SNaMeG9FXDYHjLQPn4nrTYUDPLKLzGm7HfW7vpT54oXIXG8L0rMSZkQPImtswszlOgdy8cj4zRgp0EyvmfG1+Psz7Ye/dM5JZdjJNx8Jp23TzLMt9dHp+AebUGGE103Mo73m63ifF4PztwGE+sWyS6nTv2+bd3UeIC2tYB0h56WfD8Io5NM0NItpmNwon0klr5vkbKZ9tnzO2XWgdBWhPBNNJ8mc1szpQuuJ4fIz1eI3BFtyyx7Z7/l728tIsHzYGymte8xq85S1vOXv9eDzi537u5/BzP/dz+L7v+z585Vd+Jb77u78bh8Ph1mupKv7SX/pLeNOb3rR5/Z3vfCd+6Id+CD/0Qz+Ev/AX/gL+wT/4B3c+cN7+9rfji7/4i/EzP/Mzm9ff9ra34W1vexu++7u/G9///d+P1772tS+ytXvZy14++DJ5SLod+MY6VtQSKQth6pNxXhVFUxP+JD/MlXCHppZBgBLunQc2YoBntXB6RpqDYVjdkg3SPmcHNFVBaw1E4ZW5o8UShtBk7DLNjnIvAoSwqHs/wxiZ8ZakzQegMWs1UBxCAcAOv5ZW+IBarlDrlRuiNg69E5qsCVjBDV4T24zrOmOEih9eQ0vANWoQdet+RHVDhErgYsYYUYY4Jduu7N5K9kwHVEAAaik2BzqMVQA1IzqNaQdwioLEY+i1g1Rdk2UCfewOyHkXVpFZNlZnqdPYzIPiB0gPfRqaKX74FXImj3qojvdYKVM/qKd+FvfQy6jDVLegactsHPg8C6MgqPNmzEzzIQ7fJ7Np+++xBhKwmf89LRHiue/iWpRAVF59mmcjdMcNWOZclzoBMeQaAIDN4+Jzwb6zgOuVsR14wRBpjb5cT4zxbfMSbCKNaQpghFpEWEP+PYkNf7hLUPYhkYZ3ovEj8IfwsE8ZiGKcXFBTJERGdaNhYuKdLnAEQOPfdOrht31ouycaK45dpNSYTwVsOaEAhFgq55wzYViYZz1kaJyZEUwDu08Iej8ZPLXRPbkTPAHCCC8ubhufNSDIwLf4t4j43tEdZx17QoQA9R4aKjEgOgF8wVSxeWVAhTOKYIK1YTh/MOUEZ3yx34YqcDyuEwMlxGDZnx2DGZIMFLE07XHfUyYKUUEZKL0Dag66M5t2EY37iwjWY2hXhVi3axv5vU93lZkxZOPBucaNObYgxkmSPzbAC3HgS3KfjDDNET447/3GVuno4uLKwHDaTPou4cR5oTGZQ3fjyQNgGoPBrQMJmAUInSHXGorfhYqxTBF7MPzcwLmfBX4c1ZLecew3+UwnBmotOFwt6M30yrTbOC1LwfW1AeGFCaQNooQHz78PQgX3XvGJ9oy3nGDQHTjZy16yfNgAlHe+850AgE/+5E/Gl3/5l+MLvuAL8Nt+229D7x0/9mM/hm//9m/HO9/5TvyTf/JP0FrD93//9996rb/5N/9mgie/9/f+XrzhDW/Aq171Krz97W/Ht37rt+Ktb30r3vSmN+ETPuET8I3f+I0Xr/HgwQP88T/+xxM8+fN//s/jK77iK3D//n386I/+KP7O3/k7ePbZZ/HlX/7l+LEf+zF81md91q9zj+xlL3u5XGj7t5IdZBQgNY8TkXlSxmfPH+JGS3YDiN2bNfjlG2rtpSK9oyugHg6xXB0yRMbEYV0k0cGL5eAHmvQ62kEl4pTHgS/i9d0Lp5Gpwk5ABOThU0Mo0mn6Ih3ragfBe/fuOwWd05hmHjRtglPcecSle/WgQR8OmIIZh2qMk8oFiggFWix8pRULk4i+UQM3yE9rRCYKShLAlEJoQSkAKUN1RWgzxD1DtsAcaG4A+xFTPNuQDZX64VsBamYEBwATgq4hogsgPN8ggPUeqNihVCj0aMTi3EtJsEI0pBFjOpn3DSKebtcQs602QH4Y6sKfxXUzbJ4ZWGCe/mL6Cw4mJdDmGipmmERoQswX3SwFzTZSGoM608On7CTDiIWPhXsfQxQZQeGPmTmuG45eJLtleELDGKglvPdOY3dgLRgxCA2IUm2+g7EsVyAwVGy+dhVEKIh2y7ojfbW5qcNjCqgxjbii1AOWw73Uj8lwNBXPQMNoraG30Eg6GStnFTXtNm/hGbDYkhoTl8wKE6ECRQ2usHWtEJg+iYWTMLgAhQ5IHQ3mNMgzG4iHRKkK6nIFEGfGFwPBLNxAWgO0AWrAcQAoMaWGMKezY/SkhR4OoRyMomkCueAk0CFq2VOgK8TnP2BisIflYLMh75eBBwimlOmnIEETdgYQjcnt05dQPFUwESD+dwBB8X7hgsqLZzkhwIEua64bx5k5JtaDOqARr8v0viaLgAguvMvQMsSpY5wsxGjKOGOb7ei3ZFYQlhA9lQCPLXtU6L3Ejmo4A036R3kplBLA9zCg54WuimxXKbN4Ko2QSlZQDxBiZPCy64WQ+rTWk8np7BAN4xcIfa+NTliMNxPgoYjmDLA3a50BZfu+ZXgR9H6D0voA2wLIEAtrXNfV+v4wABTAwJreu0WZEKFURS0EriH4HW2awqPIfo9Q3jIgcXZRZ1Ffp/O5wuexZ7+zjFq0aX6ylgDvn5Igk4qiS7PgFXWgt0wZ7CgARD9reOgXlACfS/N+apl3AnyqKHWxs4ZncStsWX3qUnLvDXBoPRqTs9T7sGengfiaDMGoYzHQw/Wg2B1QIvBwwQ7VBubYj45ofUXXFaQ3IKy+biMFfJmnymYOT1N2L3t5yZQPG4DyGZ/xGfimb/omfNmXfdnJQwF49atfja/8yq/E53/+5+Nnf/Zn8QM/8AP4y3/5L+MLvuALzq7z8z//8/jWb/1WAMBnf/Zn4y1veQvu378PAPicz/kc/Mk/+Sfxmte8Bj/xEz+Bb/mWb8Gf+3N/Dq961avOrvNt3/ZteNvb3gYA+NZv/Va8/vWvz/c+7/M+D3/wD/5B/IE/8Afw6NEjfN3XfR1+5Ed+5NetL/ayl73cVWavjh1CgmWhIeY6Z1AZVu/Zddz5FVb65nk+G58WArT9vvihL1L71lrycwOkiEtbuss0hDzzjB2qpvAZ+KHYwZ+4RmqUsN2XE4TxQ7a3T6Sbgdg7rq7up/czwimGV1eTVs8eijC8yoO6rbADPTtIVPLAaBZPZYs172RhJumd9y9TMlsGfXqAMpb2kpQ2KY/j+uQDEkZ+0oJVESEFQagO4cJIQyqY6NjuerM2Iw17wD2EDs6AuwM1HYXNaLN0rC7giRDpC+ECyXmo6O7pu3wiVE+fmfOBaXovrjOAHusIq8vo0MAhxjhhA+rEr9G+YHDMYQjbdeBAI3lmh8nQlNBrSVzHxsyxAlg2mGDGaLIa7JMyMQGMBaJKCIYHuaGXgBCZMCPAkNUlTqWD1ERi7UcSPIEK5lAeZgvb4WrGRSkLyNNFxdoJO1QRWig2h3jqPPUQDAnNAmVQ9RlCQKXiKWg9ZfGwix0A0aS7xzy2kIXo6zGYYwz9voAbq2Y05hrUAaJphHvoAFehwb7y2bAxXE8kHHOf8z1gmjq5BakOgMrHtDuQSERuoHHOhwTk3Got5OmYiUb7A0wdkx4D0iTLZuTZekAK5QBKHMhwEKX467OoaYJkNPo1DM8AwTXbdA6kExwAKVugIt6Fj4uOTyeoZf017m+AOXw/i6aG0KkaQJivO6ASt9AA0RllMuajzsmYkBk4HFH1wUDJfitu2NOldg1wTlILRAEE22TMzeylWctowz4bYNX8fNn2IeX8tfAgmPB7KVN/jPaN/Y424ypNpmcMu45VtG84IuD7TfYzhUbSACSj74mH2DhoW5fN3yGGm11OCSqNELXIQOThSA6kHZar6dkwjVnWxdoVtd8MV6yjBFEM3A+GLPy9AP1tH3Ugr3W03iCiqMtT04jq9seZJ7a3+3OWdWg5ZShfh4X4KHpboRKsqqP9oCG1yUDTmr88B/eyl5dS+bABKP/23/7bO9//+I//eHz7t387/sSf+BMAgH/5L//lRQDlO77jO9CaiRa98Y1vTPAkylNPPYU3vvGN+LzP+zy01vCd3/mdeOMb37j5zLqu+Ht/7+8BAD7zMz8Tf+2v/bWz+3ze530evvqrvxr/8B/+Q/zoj/4o/vt//+/4fb/v9z15g/eyl718ECWsoALVilLvoZR7YFyBdAF0gWABgcAKoMchQdz61M2hbHNlGof+F1NqrailupdNgDYJ8cFvj61Y3F2lNz/AkHtLJ0/XbHxFxos4FBl7hRDe/XEAHof08FyGtx9EBoq4cW3Ue0VP6rIfTInQZYWooPU1xRkVrlGixsaw+wxB3KBEm1eK7NBrp3wEPR4gFM+moNCMikgxWQQIpe7ZMjNGtCHDQkJIT1eodggawkudLBhU87xpR6bo5IowxQoLwIrixn9hhoixULo0b4tAWoAMzf3YAewg2wPQlFFBYcKlQ6nVDvfmOV3qPTdYBKJlfMdZJ3m4nqalbAyUYexEX0WYGvupWN3rHMaOrYfm3llA16OFhmQ/qgsfOruHilPCZwPLDBLBBGZ4eFLrq7GNiCEBCpSCkNgktUO4Iw8gKAo3b9skKCkrIA3QFSSWZtrMJM8esSw2h5crlLKgLleoxbLvtHY0QLF3aFtT50OlZ39NC9Tu3Q0w0Obkc1LPVMoo9QDQAhNFrUj8g4xhIJOBHoBIOdlKZtDEX7Dx4SGIfGchciBSUTiMtJn4f+eX55q8wGen8fQUzzGvuzQLxQBDZGLNBWgZaZadLaZnaWZPjfNRRrjI0CQpxcO7PCxMBZmmXHOuxF7jd7gAlIwQDe8NcsAdiOTMF/sh+nhcMwz0dWrGBHbFPnd6pWk/HOUcTLtYC1+PWyaNOruFzj47X3vbmvF/qaMhow/vuv8INdnWVcU0SywlvAMoRfP2sZalz314+8248AYYOrv/WQmwnVxIXKHFdyfysLJMlfzCfQ0fJ1FC0+bppgniGZ1YkWMQej7BViIiiGfWC3H3AJTmMON5bAbDKADBeJa7g6EMvSU4eLEsZdorDERalgUn3faCq3zTi6TQTBtujojjcUV3Gk0AJ0quT9aOWJZ7uKoHXD/6AJSApz7wcixXH4O6PAOUpwGqABZrH/Gd99/LXn6zl4/oCvjCL/zC/Pvtb3/72fuqin/zb/4NAGO0vPrVr754nVe/+tX4Xb/rdwEA/vW//tdnG/N/+A//AR/4wAcAAH/2z/7Zs808yld91Vfl3z/4gz/4pM3Yy1728iGVeBgXMB9Q+AAuB5iWSAE0fnj62/998aA8DJcXC54AW5q0iJjBdkGYzjzHswbE5dIjtlmGwc0OcBCTH/BmT+Tw1MVBrhTOzyV9efKMRZvDfMjsFrOoIzjcdTAAqKHLit5v0PsRvR8zy8t8qB8/IQprwrAKSzmtLrTKjEnsd4A4kWJ3xLJbHYbxEMaTi8zK/BOCs+3C3/NrIUg7gI8zoUcHCuaf6Mc0FpMdEW1r9rcDLlHfHn0n0W+WbltkdYPzRPj1TMR0/FtumVv5E2K8OubP8OIOj3HMITvwh5joeuHvFSortNuP9DYYHMFsUoHxDoz+bZPPdEvs+tNvMbAhxsEMuG4AnRggp1ghOELkxvtsTfBjnvPD8zoZMCpo0rD2G6ztBq1dY203WLtfRyN0x41eX3dm9k7stWSyuXYO+bz0bDJEyxBQHr5tpC6J3G6ohcd+1pvIcbpjC9qGYQXDIwBSuvATN6STH//8aRU3xAGdxnjrsd6s8ZhHMjFX1MRqU7PHAWGbG6fXxBjPFIEOAdqhZwLANTfG/QZQq9Pcvtx3Z+toAguzP56gqAMQ8zpSHaEotxv6muyHUyDkhcCTkU5aL/778s8tfTDXY5p/M6vt9v47qcet95ZNPTaMuWnPvVRiHmyYJ7fokPk38rkx9oOKWhcLJYrQGqfozP13Ry2yf7JvNFh2MrVn+9w1J4SkHs6cXSh1h2IOx1mAcLq6HPgJxglPAuQTcJXrIMKvLrA8nvg4Y3cezCP7YTanjIVh2hng5uYax+MxnU2FCa1d43jzEI8evA+PH34A19fPQdoNpDefh+TnsXn/2cteXlrlI5rG+Hg85t+XQI1f+IVfSC2V17zmNXde6zWveQ1+5md+Bu94xzvwi7/4i/i0T/u0fG/O9nPXdT77sz8bTz/9NB4+fIj/9J/+0xO3Yy972cuHUghABRFQy330+hTq8hSkXUF1QW5Tk7cR6MOwu+WKG+PlRTzgS6kpQth7x3o8uiFthmnY3emJvwOHTgpzHmBgInoe1nhqnNnhJMAPAGRqA0xkWWYFqJXRXaxU3FttHw0gahhcBlyo/U5j3A7ETW4SlCl88GwxMANbxXRPFABkupcxRgQdJuLawVpBaoKfdpZmqBpYM7Ns4v/HAVxA1LwPOwiUApphpKW4Jo4IwGoYR2J+YQ56sQBiGjDh+R594Z1HEeoR8eLGOIkwCmt7dxZCDCIjRXMBgBS930B09f4gsBpARGRMKgtFC+HYmB8TYyUMD8ItB/84ehvtmuECrDp860Hxz3mjakwdFWg/Ah4ykyKjsyHkAAKUXUiVM0tJiAWKgyjI0Quwz5cidwiR66dYrDwruXaOoLXhpY1+lXZjYsTrCkjP+UieKrQUy7rDHlaiShaXLx3Xx4fuHW9Qy9trTBc3eE7zDJMSmBaAGJ09BIDItFRKME8WMB8sVa8CBIHQDYQmQzGNMwVC0BGbW8HEMlfXNPDQFWwJKDbPtwAfmK2PncGUjJdI+5s6HafG1Om/T0O5Ls+nZKAg5o2xy4icugQxz7UyCJaRyoDM7qmnPdSuVAwp2gFZxbqMvaeULcCc4TlgqCBBz0gBfnv2mlPLURM0yfuFbsYZaD7+bXP31Nge4OMocn7LCyUFoG+r9QUAfwAIW7AKgAmK3uIUuM0XkMBGGPpTmNPt9dYpa/kEPp6AKAEqiEiyITLE705waZTiwNmcKrn3/gL9FqB7AOEMoCYYIdpO5o8kOHB+sWyehdC6oLTNe4X2AaKQ39sy0tn9e3+M3htabwmuhOaY+m4ZayocCOOe9p5CUT0UBxOIOAOEvXfXfhuK9R+MA8iKXvxZlgVabTyPxxXreoPnn38OKoKPedkrUNj277Y+tH333YR7zzzG1VOP8IpXLFiqoiz3MVT9507ey15eWuUjCqC8+c1vzr8/4zM+4+z9n/7pn77z/bnM7//0T//0BkB50uvUWvGqV70KP/VTP7X5zl72spcPVwlGAqBaQOUpUH0KzE+h4wpdFhRd/LMhIKp2SBYDDMwJ4uENES++ibW+dJgcBirUQQ2Gxc5HOr9+46yCI9IDK+KGFo1MOjwfUoaQZJTI5ACoxzkPvRAz4E3g1SjT0SehSWCHNJlivmfvXRxyzTMMN35cGyUOc374NvKH0+ZhBzVxfQhhD3NRTsYCY4jizd7eWWdijmqpZONEnoXDwJJJaDcP5OyHRHIBOwsJSnvMx2WwUxxISes9VFeMmSHSvI0dYAEJIYCaYJ0o/KCsxiTpYoDJSDmhzr4xds2sh5JZISYsYeiDpI/R5hFRUt+RGSIk+3GTZomG8RWG2PYYKsh0teoGxax5kp8PsMkYMwQLfYI6G0QlAZHw1jJJAhQhBFzKlYMpg2FAkxE1lwC5NNyt8AxMJA4sAosfsHu3g3pvR8jxGhABOwACACgRW69QGPhkc7yhi3jMf0Nbr93A7oCEfo2DGgSEqkVqoJCiLhWiBdIY6kyUWu+bSC1dgegKBANTNP+LtjU30oO6v+0Hw+cGk6I1QalinJfIkjX1mSuJuMllfWxhCa6u7ONkmEn0zwBKkkmVlu/JnpbAotlzGYhFQO6dF0oIMwsA8pAzChYVTMzVkgV5eAl1oMT1ZtWV+Dv2XoWFtYWBOdBsAzE8gxAUIutUvxcyynVcY6AAng3L9u9RaPNbdazK/J7E2hhrnmj+zAAYRvui7+Y6xD7mY8Bb7ZDNdyZGx8w+iRCq02IG9y29ccak8GdJrA+cX1Mx19ufTZv6hXYJgWLv9vF/YchkW5JxEdfGYK3QLYY3Ec60Xgimr9LRQGLC8lBk20PE9qSh1n4ugABd7Aoq5sRIDSzvN5oYYcyR8c5CvlprHn4GAxPtQTBl9wqmZ1Z48zelvlBkwjIGh4npNqyroDdjQRJZFieiCotfCvZonC9uG4U4g5jgsz2GB0tsbTdQCYe1Owo0QmPFxL0JqFzRseLh8+/B9c0N6oPnUHHAvftHPPOyp6w+rhu17esLbd/LXn6Tlo8YgCIi+OZv/ub895/6U3/q7DP/5//8n/z7la985Z3X+5RP+ZSL35v//fTTT+MVr3jFC17np37qp/Ce97wHNzc3uLq6uvPzUd7xjnfc+f4v//IvP9F19rKXl2IxQ4yAcgCx6aAccYBoNWCF+jDW3Cqg8CoDkyEyxAFhtrYb3rM1c0JvDtuWwugR89yrQsUyZGyo4Yo08EPEU6dr+hH28r3y5Yjz9sMrxFJ7xjXceIq4b8MVxnvxQ2RgRRxMjS0CbwcBXBDhCJsztCIBkS7NjUY7qIVBNR/+h5c02hhZKTrMCyfbdmL0aRiC9hlgZhKF8KI6iGV2VhwCB2iT7ZtABjd1IRBAm3mg1eLHzRCxKnKBGwseouOphA1A8QOpujczxWpPs/A4UyDm4Ib85HNO5zH2eZCGGG3eG1PEoBU9+a7ZPe7th1isOtywBQD0MX3TIGsm0upCrZEmeHiKB4ACdkNeCbQRXtWsLk3VH7M66gY3LtzjLx5PLzpAIgdipK/o6w3aegNdr0FznlSY9olyZEbxMfX51rp4eFm3jDURYhT9rXAGkmQvjz42vQEGoaBCPXNMrVdmmNACpup/F7tGpAxP6rsDHUlsmPkUMeYhQgpswmoQDDWa6mvXDGCK4ZnDdMw1M9xsnuaeRAEazvfd1iZmahilaZxO204alBRjb/tAqN/MQt3D2B3fszuKG46j36eLb+Y4ZceN/Sc1NMRAS8t7dTlPvE7XOnlnen20c359i5nr5vd83TkcI1/D1Nd5zRk4GRUc++RgEFICi9iQh+ZanDE4Tj6zbUCADtNK1AHY3hYCNAMnuXbn6+V9dfqc/8RzJ+c9Ye5f+DMmp8bmCtF2f37RaePG+3blAbCICFDU9IqYp5TH9qyNzGpwXRojiRkIxvNznoAI8yV7wpqmmTgD0admjk8wStP5Mtob9TKB+Ait9M8o/Nm9dZ7oye8UdwdBp0oqnE3aO1oXYw4S7Fksdu2x+gmzuC7FHpMhs35VJ4iwkmeBsrb0EKBFhQnIGkgf2bZEGrQpyqFApaMdr9G6Ym0rrh99AIyCfvUYzAu4LCcDv6Mme3lplY8YgPId3/Ed+K//9b8CAF73utfhsz/7s88+8/zzz+ffzzzzzJ3Xe/rpp/PvBw8eXLzOC13j0nWeFECZAZy97GUvL7KomZLEVyiHZ3D/6U/A4wfvwdqfxaIFEDuYcAAtCAqyMzOIUZf7pr3QV/Sm0wHJ/mBX75cpZj8o9drVDkEErDcP/DBSwQwcFuDmpoNUUE+yrVjWHhnCq4BR/sttYT0EFcJxNeHGWiuurg6wQ1rDuq5Y2xGtregdmeaTmNDWIwBCKT3bVUpFKZSpYo2CvcapctyVKuLwlQd3GodoVUvXymp9VmpNqvscm53HwWJHP4ZA0KFdcP04RGDZqcDI06kqgB4H0qF7YamKjWlDGhleNHEKIo8vh3iExnyYhI9jS48gywg6SUN+BYYdcckYi/kA9Gb6JiLNvIBcPH4fKEklZ4DuOTNKfBaFoeA6Pa6jEdlNwnPr5PrJA2sACPpqWaKku2ddILrafReGuB5IKQJLT1kcBIqwB4GlqDWNmr6uwwCLMJDo1MkQy+w+IEg3g2tZ4mCsWNejhQX4ARs+TyLddldAxDOEsKXdtC5S3Fxbm4x58hhYj6B+NIHESF9LgBQBMaFUA+Jab2jSjGEmAIuCRECzhlCOnaKq8VZELd2wdkGH/VhITUG9fw+l3AfzfRS6D3IwJTQJTGyxQ6g5qGHgrAilTsmYK1PxLmaquLoqKGyCt4WXzFZTvbZtXVNfx3AaA4+g5lkvHMYagCKWClkHe21Yiw6MhV6Rh9gxF9TDlYMeI7TQALpIVe58KkaGvsFBuDCkGB6m0C1LCsMAphIi0Y6sKSwVrEj0la1/YvG57+wD34hDX6l3yyrWXAcHECxLxQi5G4Z+9yxkuaTDmCRjFRSuZmRuwAir+xigsV9YeNVIKWt6RsbEa61NoMIACkwXgi3NbOyhznrw3se6rhmWw1Sd0WX6HZWrfxfQ7sATEaiUNIejzDpOAV5Zyl2FyjWWZUEtFYj9XCmztJ0WIkKtV4iwnAjh7F3y+sHUJB59BFhWrat7h5Mr+p7BPraovhsH89NCO6MPi++drTuDK/ZuAupijC/bwqzNq3asx45HNzd4+img1iss5crSAJdqjEhVsBr4oWzZm46t4/rmsT1HGZ5G20MSnfWxrhYesx4B4Ahgtb6s9gyObFDFU6UrFMfjY0vT7B6Jsiwoi2dUKgPAjiw19jS0zHBC0/YL24JLNcbG9fVNrserq/uo5YBlucLx2NDb0QAPD3mKMKWyVDAVLHUBwZw7y3LlbJYCLlcgWlDrgsIVlUuyqj72Yz8OobUluMbaGx4+PqKyzet79xe0tePx44fGkOWKl11VXB0qCi+eIvkxrp97B9ZHH8DDZ5/Hx/2WV+GZV/wWgK9iMzmbf3vZy2/28hEBUN785jfjr//1vw4A+MRP/ER813d918XPXV9f59+Hw+lmvi0z0PH48eOL13mha7zQdfayl718eEp6cOHARb0P8AGKaqn1wrGbvioPD5COkD+wFISeaQV98uCZMT+85+ljw8agVnWndnf3TR+HvgBbznjU4QkcXjZjXYx/G13W7hWCriG0agfk8HCH+n9xYwNuGJHbbePem8xDSn6Iidj3Ta/633Ns/dZIGZ8dv4nIDTjCEC8dftnIdpHeSZ3vodDw/J16JsNwybHwWHKNXCwjNax5x42Sr7Kt87l32Os2G0fSMcAiN32cpZSGA83ZdZAeQg4mghtfYSSkKG9ZoFSzvyTGHmPcrXpOB1LC3OGzPzGHRzTBE5Xw8it6EzvYFgahgUmTrWSaMZEK2BkaKjljo015N4qsSJ7Vhy3blBkaLvS7CcXwLCpqY3sGP2Vaa18pGr1FOSykQERVBCh2kozXhy7mTozzAA3IATR4LbarUDMUayu8a2CM7QpGnS9sKYsJBSoezqYwxkcIBmvP72/W0B0OVnIQ0LR3SurJBCsqBSwl2EHwPSZ0T8ixDIKegDRjF9vuWwnJpXEc3+Ws6wAb7TOGfI4rAvbPYLi42Z5Gbc79WNux5STwGj+xB2Az5+NzNM2HWYw5BKhFyceIT/raWQPRCo2/DJwgBGNo1MmEh+eeyy+aEb4J8XHD/mxfv1SSS+RNufCfqocS2R452jL+np8V53cwAFlzDw1Wg0zzZDAkbHmcrcqTi07WfHTH+Ur2j3oFp+fAadkwRnIu+l56yqiZHivBiBlhO9s9ERhzSULMuwTPY05ynp3oQFrsbfbeYJFMadcpnrFzaCadPCuDDQMkcw9iZwcPpR0MpD7dk3P/2+xOczOjt3K9eK+lwHt8dDAnR1/68yNZaDPzhFLwPodKLeRzZiGpd664wLfI6jpYcHClmzNDGMSC3tYIIs79pR0fYr0RCBhPvezjcf/+y8H3ljFHnmQJ7WUvv4nKbziA8j//5//E6173OrTWcHV1hX/+z/85PumTPuniZ+/du5d/z4Kzl8rNzU3+fZrqOK7zQtd4oevcVU7Dhk7LL//yL+NzP/dzn/h6e9nLS6r4oQLKIKqoh6dB5R6UD+h+djd8JA4xDFFjaSgDVIaxZwCEpOGMMDQQBzC36sJQOzUKBADridF41yE1DKcJQCFkytlBudWRhSJSA4ugqYFAy1LBpaDM8fHd6mmZDMp0R3JqMzmVHoiDNhNjxPOHoRP6BWoddmkA8uJhftvn48C3OSFNVOm4tirnmVI8LIDFQ5z8MJpGRqAWceiNf5DmOKqqU6aLfVdOT2hxVA3gyA6TkQXG0t5KemeJCJXd21itr5nI2RXRx2bUpnE5H8SDBULVw40MbNCYTwiDIjRHdDqIR/uGuOiciKFPwElmAgpNjN5BtZhYL682N3kY5sCKyJCT6TjTENoK/TEBVMJQI3CpZvBn9hl2YCH6NcRmPdPNJkTFrsNUrE88jTODUdywtXM/Q5yRo5Ohnrb92Ty0kKIIawqDcsA6J/NVwmiVBFHM2ypYpYMUqGJ9YRlhFkCD/m/GWtcQij56iuSWYxCmcuIoF4xKY52w92P0pxk1lu51HlsLmTONgjiCDQDC7tYRyF70Aw9Vk/whn2MBCnftBl4lUyNAojAgZ10U2MJ2vGUAWB196t7TPYwIqZ9h89xYddZF6hoLdu8EETBncfG9wDV7APV9vHgK9mk2TMwSnV6DmvA15b5LZ99JwCFeDw2XHDNrGzODlNAmgMjmZ8xxb38C1XNtLhTCBFJd/sClpAmqliZbNyCT6XVqMqFK/kQbbC+6ZL2+WIt2mOenz8Tzus6vizE37rhfAEx3fWYuopFG3LWa7KbTc8ifgM7UqHXO8uR7FiL7D6NwBbRDiviyGqCZqiVuJ6iF7oL9eKC+R5KdSxgI4fruc4kw0nRnli+1+TKnuQc8dE3sORXgCfu+GKK0zOQAd4QMeV11PDcuAU9jXCL0eLqvP0fyfc+OZkRJRu8rWmsgAbrrHd3cXKNKB5fq+AlhbYq1PcLDxw/wspd9HJ65/wyurp7GDNjuIMpeXkrlNxRA+YVf+AX80T/6R/H+978fpRT8wA/8wJ1ZcV72spfl36dhOafl4cOH+fdpqE5c54Wu8ULXuau8kEbLXvaylztK2HtiOgR8uI+y3EMpV5AOE2pl8yQzMbgogIKuxRgoRBlmIu5FdtcqsDlgm4FLadROJajOxKlRQGnk3nYyGIbZfAcoXDR1y0AJ8KAUC//oPQ42ii5GiS+8AIWn1IlmiNXq1GSevXglvVEKMRFP16EwUMMp1bPXeRIvvVgUCEZLeAQ3LZ7YG/BDnyrQM0tBGAgWdz66P8CFASpsey2ALtrcy/rQKd9iIo3b0Uh4In8YAKkbFvl5AqsZS5HelsAgFRfMZRAvUCppcOZBmwjs4RmgwWLIwyx5xhoVtG5GLcPCgSLUywSP/TAfCIp3LRc2ZANq9G/y+ZPzNOLhkeOZGhXeeNGYpsOAzjh9vwbDKNqMcsJA4WQhdIlwAALRYnNnzlASaSsVDrpYBibmisIHBxLYQQq2+UaLh7oN5sS2buclgBJFgJknjJB5BujIMjTENE2smdXbqwwIPMTN5qy4XkzXa18rR0hfTUzRxZ+TPTEqdV5Xb0qIUJrh4/55D7fpzULDutg6EVYQL6NPKfaI0dZgo5BqBosNeMtDjTIsjxAapqQ2p2JssfG8D8gyvNpzPwYQchsGkASh2M/EAJQkSCjMCCXxLEMO7c4ASqYrhn/PgSAVF+p0I5mLZaaZKm9kLvJU1wPsDOABasLdOtdXDciaBUKTyeFTigufMyg+DIUn7a5tsZAU21GKCWLHnkcCUDcA0EOXYNX2/pHTS/n7M5B+16b/4sumr9JZMVeBPug+lN7RqYEO8UzoqfUlDlCDFaVYtrPei4MonOLpM6CyOLvTAFMAGuGxtrVxiHWTPR916q9aa6Yp7p6hDqpQggnOO3jCqTe27elsgQMoouIgDyVwLdJgWleWRljh4a1n/TqNY+hPBVINAOL9M82HEESOM1Lv9kMHQq3VQ+qOqFQzlBZdoNQhEVbr4Oq63uD9v/YcXv7yd6PUZ/BbXvFbUMuCvezlpVh+wwCUd73rXfjDf/gP413veheICN/7vd+L173udXd+ZwYlXkikdWaAnOqRvPKVr8R/+S//BQ8fPsQHPvCBO4Vk4zqf8Amf8MT6J3vZy14+tDIcK26wLAdwOYDJUuMOBnlQvY2RUVA8C06EbhjoQBzeWjtgmMcnbnG7V03FDFij/Gq4ZudaXqi5e5LSo6XowQBRRa3jewYAwMQt2b1SODngw0J8wAIjT4TnbQoL8O8MjY0hlqc0h9J4OyIsIFK9RoffdqYOw2Zu6cZ76wZOoiODVbLNJCH+Ob9oXDxTzgbAEgfDuNb23kwMoUHlHzU5+aBfeg7DsbS6SIMpvH5xyzj0sns6NdE8vw8HgDK8myPkZdQhGRIC95Z2wJkM0mGuZC5+fR7iod6fBjpZtggjQXn4Qnpd57FQC7FKz2J0HU1z9vTH6m9x/taOQsXBk8EUEhl6CsWZLsD0e+5rVysMr3gyWYizOvA4feECFhdr9bGeQRSd54f/pglEOl99o+0B9KljPbGmuFTTpHDPsK2zyNoEA0q0Q3WFhUJZGI9In/aJMcfuCvUIrHYjJzGBBkad90xeTDBcwNeqIvtlDplTF8w9NYI1wBOlMWfBJr7A0/gHxX+zTLYrKDRBAGx0j+yTM8AJ68Op/+d+n0MOKEKKJvbIJZHTHDvfdwF1piGmvZA3oxBbl7EP7MPB0rH6bVMSi+MvAaydbnkDpJ1DOgL0Pt8HP9SyCbcYr8KeYePftidMrAvSZFQM7SJ1EeZL9wHGnHlxjZifkXeFCN0ZPvQhAFAjFC/GdcteiglNTC6Uyg7cD3A/2J6Ryc7YPOPZya5nJl0yrOt0zSfI4RuLaIAwwY7UXPjhNDhrS2Acapovoorik5iccdUd1Uk2i4OB572rMexTJ0+BetO6isJDoibPSMFQYWZj+0gHavHnprciNlEae5v0jscPH+Lhg+fx8MFzDu5NVdnLXl5C5TcEQHnve9+LP/JH/gj+9//+3wCAN77xjfgzf+bPvOD3fvfv/t3599ve9rY7Pzu//5mf+Zln1/lX/+pf5ede/epXX7xGaw1vf/vbL15jL3vZy4exDAesGVxXz4CXp1DqfbQbmLGYZ1oClYLKFgfftQFknufjuuLm5hpXVy72BsRFEaEhF/T27FMJGphRI+I+/KDD4/zwHZVnrnk4ExF0WU00MgwRP5Gs6+qHtyswMw6Hg6UJlY7rmxv3MNqBsLCFiBgLRfLQnHVwo4CoODvFwmgKm2dd8qzVMVPws8O3J7Fb+mQcJLO1bgDMGi9pnOR50sCgUobGwwhxspj0Ae7EGJ2EWXn7AKBUE9pEH5+YKpTXEFnTG2diqMA9+BGTguo+gC7tPf9tdGxO40zVNXbSmDHmiFLk44l6iMsHigOAoZ8hRpfuHdK6AwnV4vqJUbp7S5nA1QEZqWk8iDTzVq4tQaZSRkpQou146kylRsBpBtSY/W3aLWW5AlNxJldFhCn1doT2viGblBIH+imARgNMEYCKz/16Er7ijBYlKHW7kFYQe6hRajsMgNNeCcMd/kr0Z4g/nxYPePG3zI4OXRPC/eUplOUKS7kPKKEdVxyvV4CAw6F6HzcojgCJ6ctIg/YJQJkAhoLLVkIYWsGeGECtj2Nv6LKawLWsYGELWSl9mD9pMM4ASts6oSny1cQq4SGJrfYmg9KTHfMLyiMTFTlw5dc14FCT6q8O3MW8n2fU6PYp5Eg1v08KELPvPaFtxLZCUkTWs8ZIgBuxP9gG3CBgYZQCF868LFBZa3Xv/QwwjRKMF+ma70e2GgvBACKSJtbA+d7ieiZy8vqHVE771V4DTNRTFeg9MuioMRJcsHYGKuEAFXOEmt16u7uBjlvKk4TvbMOlsPn7QymiHb0TWjt6ynFJsDDWBpFaeA0xitQMoy0JdA8QpTg7JcCPEF0WkU2KZgrG1DQ+xixRgAldLOTMsvkghZVj/gTmcN5pgEBCqgnqc6BwIBMeQuoA0Eb/JEHr2O8Fl7aheY73ZFsh9+IASiN0mIlRa0VrK9b1iEOtKNUYTlf3FhAX9GZMHS4VvQHaVzx+9Dyee/Z9ONx7+QZs38teXmrlww6gPPvss/hjf+yP4X/9r/8FAPjmb/5m/JW/8lee6Luf9mmfhk/+5E/Gu971Lrz5zW++87NvectbAAC/9bf+Vvz23/7bN+/9/t//+/PvN7/5zbcCKD/xEz+RITyf//mf/0R13Mte9vKhlzTl1YwCcEWpV6jLPXQwSNnDLOxgbJkiCqhYNhJRoLeIGS/+OaCoItMvnnhmsvhrTAwKSu7k1bnLBRlMBzuYTCljFZNXP24ywIjWGtgBoPAS12LZW+IziANW3GsOnVGjEItYeIO4QRAHLiJjMPQQmcxD19w+ckCA3TBnLEFXdgOS4FRnv/+c6pOy/VZ/pgijMgFf9teIw1hzr5cbBuHZAsV77n2X+HuEscixZ+YLY49MIM58oAcQDJ44QHLcedA0/LMaOI19L/p2AtuA4S1OY8E9waNMgqOpXSCZBUE9lt/YId2AEvb55W1Ij1+OjbFVSAhcnadBaiEiADLWXQfzZ3uqjnYYwyT/dsMCAUm4B5HQ08CN9s7sorgmUwHX0/uwU+dLemGjFepGgTpTRZ3uDhhwowQIh/GKMY9dVHf052ygTfR0HuBYgqtMlk0KFg5XqDizInRIWuAVUF0RArKRoUt6t/k/tTD+LsznMKr62OQgurEX3l4XtTVPuLU/5qYJ1sZaHGsgfjK9rw6csMwUlxT5dbAMnrGkRIYhMjaHujjpZq3otOnGQrA+h3iuMu3Tmph1I+Jr/t0YKx+jDB8LDZkEgQiFGCCFUrXsR7ne4qec3HPb3QnEYnj8A4gNVpboFH4Y+4wi+zj2s1nUlLnYvrrpJ8pfcz2MacQJ8DIH4ypYBQYeh1Efe0fv2/7EVI/p6mbsRpuCBeZZfdjFxynrQuBSch/Uze/xzAkQfZZfib0nhFhPgZ3BnhrtnO8Rfxt4dgeIE9eiITiLaU6M/XnuBku7q4oRmqgWAhNAgwGWxfTDMnSQsq9VLZyOitEwLGwngPt8MiCeDPNfQ5yVNv0gp2Cazn8EE9XWraiAhCAksJBPY74Uf/abgHyMkfdFrCm1ORZMK1HB2o8GgATYr5Y9zbB9B4c0QiUtUHUutRQclgrSA4gsM5j0YNx1AMWJkrYmxUFNdQeOsVPsmdZlxXq8QV2OKMtyC7S8l7385i0fVgDl0aNH+OIv/mL85E/+JADgb/yNv4Fv+IZveOLvExG+5Eu+BN/1Xd+Ft73tbfjxH//xi+DHj//4jycD5Uu+5EvOHgJf+IVfiI/5mI/Bs88+i+/7vu/DG97whgseAOAf/+N/nH+/UHjRXvayl1+/kqtR4VbRFerhKRyunsYK05soVJwCa+AEs3mWehNIB1ozY6TUCvVUfyQwUARwTQOKc9hZKbdRcIOFkUftqd5xwHJPVhi1AJx9AQwBRUlmw/F4g1Js+y0VExvF0zOTh6A4A2AWHQyPMcIghKK1+cBuVFzNEKFxkIaSC+4S0IFCDK6EWhcwM5al4ng8Ym0tPVdLHYyC1lqm6wyjjt0gqoVx7A29rRBqKKV4OuNZYBc4zQKS1CMHuNLPFoaAKNabG/cQEgiRppJmXGocygke/+6HbCL03pMmfVrsPByHZT+Eu9ePuaQx2/1g2kVQ6xD1NfWZjtT28OwilkligCmAZ6OhjghBmwGmMadsfAkKFEItZv2R3yv0cobWh3cswVgIAcA4UBGGRaSyDsaAWSWrG43djeAAdVxrZ8KniEKEdRiGwSQAWarbNAbJ55q7+ZkZYEvHDLjBB8xJfNLgU1GgK0jU0r6m4LBlhMq0qESoXLzCA3i0S5rBVMsBTDVZD9Zn3faDMBq0Q7HmWLXWoG0YgzlbiaClXNgF3CinAD/cWncAMMQwQ7NDVBO3EG1Z10QloG7UtIvzlSLlLwU3n1DgGZS4gquBJ2WpPg7iOiiwvNMawNQIobGFIIDPWbgBGgw3cpA1NUcclx3AcfBgHDPJMJMOJAjinKhSTaOCCNRg33WDjUOHIc9nJ+LcgL/PifuMOTrCASM0agvAjFDC0KrJfQTGaDHGiicn1mBJDdB5BlaYCyA2F0spxrIad0KtwYrgDN2ylMxb8IQ9nDMMbACu4zG1HYOdZX0cYATApaSIrIps9oV57sa1ylTP0xKAk+0DoZkxUkkb6+f8GWnz5DKAchuLEYARfNTDKTdCxfb+2o4orDD8w+ot3dZMYQZX209qBSLF/Lo2iK93IgXz0BwpdQE7CGKSY9s6D1YkDUAGjhF2B1elB1abfRwAi02TAF3G+rB+dzZMIRRPnyxiWm2EYInA16ErVhGjFJtHvTXc3FxjDpmEsumoVcuuFsw5gQZctmnfYVnARDhUyyB38/ga7dggzbSZKiqI7VkOYrS1p/htPBNs+hjofPPoAUq5wv3l6Vvn1F728pu1fNgAlOPxiNe97nX4z//5PwMAvvZrvxbf+I3f+KKv83Vf93X4R//oH6G1hq/5mq/BW97ylk12nMePH+NrvuZrANjm/nVf93Vn1zgcDvirf/Wv4m/9rb+Fn/7pn8a3fdu34fWvf/3mMz/2Yz+G7/me7wEAvOY1r8HnfM7nvOi67mUve/kgSzjIJg/1sjwF3HsG11RR4J63ACMElvlBGKwLChjKDKUOpYYuN+5NV9OSmDyQVM4PgFYuwSp3F5GOduyD8RCsi4hRV8+woiFwaUYL82EDiphR3NKg6V0hNGi3wzM2aOghmgmQU2kVqs5qCRZKWQBhqK4wFopMnmOa6mWe/6CqZwiGgxI6pSiO+hLNh2PGsizpFbQDaHgIo2/n/j39dxj/oz8CQAnDUlQsRIFD2NP8azR9TMVUI4webQCFMidt+xJAFmJ8wsWRm6GHYP3THQRpFkwiChWeDt8OnPhvkeaHZjdGDGVC/kcOhDhTgcQ8l9uqReptyZSsCg8vyTAIwWycENXsUi5mTJAbu6IKIgMONveZvPKtN6hMmaLEQB6FzXMiP6xD0PvEGvC5ZtmBrG1EQO8rIB3oq6funfoE5OwDbH4oqzfCWAjmAV3doA8vvuniuCbSpTWthEwHrsOzy+ThGx54Beg2s7lsNTRmI3QanvGn0xuM3s85N+NjkUVoK4I71vO4g+Rv4jB94kZjrcxZRpyLZ/dzbZ4S4YQU8wYOTkoCJwn0qs8sHaENEeIiOmcCUYgEg8EhJGc1mE4HIdOx8wRUUPTP/GMARgGZ5I/KAHWDzTTtLds9h31dDoaJpfIeTCULa5kGaNpXCOM7JhrqgrfwvcNB0sECmveo8zlW+NzLf9tnszpqazq1Xfy+gTv6CtqEDeW6tQ5FwKS5ZojGfvkhllPWRfRBMiZv+c5tJZ4LcQ2CgcZGynMBb1J3BsCzyo1sYqLdcThbH11sfXQBWDx8TDqCWSIJkGiyvlRC0Nh1gzQAVM1ndwIiAUComMAsT+As277YWoM6K6Si2nLXglIZtTKoEyIjWbCqIqNZqQXV2WEmLq6O/9r1tTsrkALEGc9pV8cCsQvANkD6msB/70eoh+YEKJOsMfg9vK2xhols/fR+ROsE7h66yhYqFln+bm6OEO146qkrHK6KASmbMNK97OWlVT5sAMqf/tN/Gv/+3/97AMAf+kN/CF/91V+N//E//setnz8cDvj0T//0s9c//dM/HV//9V+Pb/7mb8ZP/MRP4PM///PxDd/wDXjVq16Ft7/97fiWb/kWvPWtbwUAvP71r8fv/J2/8+L1X//61+Of/bN/hp/92Z/FG97wBvz8z/88vuIrvgL379/Hj/7oj+Kbvumb0FrD/fv38Z3f+Z0fegfsZS97eVFl+NoMRCn1AFmu7ACiZij1TJ9rbmsVYyQwWbiLELkZ0txGkXy+pyf71uf93QeBOXFCmjVOX0YcpBVmyMC8SuoHoYEFhHfrJBwHs9EW2XPIg/Qnz6ODGaex5mFQRGy3nXlCRC+0RCiNpbjYOCSPsANg67GMOhtAs21H6HAEZX2u1/ZMfRIbPx+8dHxmtGdbz/i+hrE79Wl+Te3QHAYFpXuaIsPtxWKmqtGhLQyBh3HpLB+LXx9pgg1AmSvgdUQAG/65ySM5AyiZRSeMuXmYaczxDL3wNyVYRx4aJBPgxe45dVPFDXnHLUgBdNeY9fqOSQxAIX31kKmaxoL6NUPPAzjVZzCD2WGrbISBFt0AFAdPFFtQwoyly2MShWwQrGd7QxdBF7FQmplZcHYh20cSGIy0yw5G2RBo9kXuPTO+8QR1HMaJWjvJrkbZvZT9G1ecx3MLoCD/HgAFTt6H6zQEWy6y0EwhMA6AjTuY4RUA0sYwngCUu35i7cdPhp1Zfh2EYRahTFl1B0/OQBRnxajauhshJANwIZK839wdya5wMDrAytGOSwb9Fpw9C3NJwAAX2n57Ob3PXUBC3j/qQCd1gJogutchx8p72YxsX9cBSGSfxJWBaRme33tqz211jf3z9LPnoUan37rwKtEGgLBPkoM/g2kCnd+PtkT/S+4uyPHBeF4l48gvJbfMYRcFi+7ezBUa94++DPAwGGVzHxgIxqAE5o2BU04+F0Bvzmm4Lksw+HycieP+QwVqvsYcHhxhxkNLbHDiRBRUnGWkHMtv9OW0HuM5Ot7vEGnovSCErANAMe0WY8TVxVg0tEGd97KXl175sAEoP/iDP5h//8iP/Ag+67M+687Pf+qnfip+8Rd/8eJ7f/tv/228+93vxvd+7/firW99K77iK77i7DNf/dVffSfD5WUvexn+3b/7d3jta1+Ln/u5n8Ob3vQmvOlNb9p85uUvfzn+6T/9p/g9v+f33FnXvexlLx+mMqWlLFdPgZ56+UhBqpQeJGiBSoF0AvE9lAIUFnRd0fqN2RXoKNTDn2dikaowxUk/eE23Vhc+jRK6DLcfEUzErjjDQbWjrT0P/Uu955R3vx4Dlax95IBPpjt1JfygAKc4G1U/4/ihWZ1a7wY6xYEaDBEznFqDh1pUS4kMhRDD4pYDnHExz/DgevrDzmYM1VrykClq3sFstRteyDTH4ztxYBYJAd2RRlPmQ25mGrlcdPqcqkJY8mDcoZ6eWBIHsLOchXwA7p0tDCHTz+mhzbK5iZ8uawXAYK3u/esQsexP0js6GhQ9U1iKCFCaaTlcqnuKpCoUBUoMKskVQMlIMQ9/IIwDcbbfjONgLljbG3rrPo4N6uEYMU/BwRJiFK1pqlvomsDEhGPuCzaMCBKsqzG7hCNEKjRTjN1gsfdIkVkV84LWWkFcAE8ZHCDOul6bWKE2kK4gdMt24eCQTK29bRZEWBSpoEvz8BczKY2S7xl2NmWs4b4esTFGeKOc4Vl+AFaGqgViMTO0TGBeXHU2HnVzm2nCxrot08cUrJljBzCIzv8LAOKkDQ64bdPnuEEWKa+VQbDf0Bgn17zhgGlccla6s4B6hl1tjE6dWSjIeS6qmdI9171aCBYBsPSrxuRh15fgMEadBRahFVsQ09ZeKdX64uJamoWvh3G7MZAT2AmtlQtaHSfXVhVjL4TB7hlYehqp4iE3brBSiEqfgw+W9n4eocslgBkbi6GXxcTOnnLB5Ck8M8L0TBAUqB5SwsQ27ylCDSdDlibNqw/SsCUmBLkuQQA3+GfW5Mm3Lr/qcwBA7v+ZWUzte8lOSRHW2TB3zZFwKPg1RUyrIzWyHAylaewM1wggtSew13sIrdprpYZwt/qzMfqtQIRR6zgnGANHgKOzvk7azcTGfMx+qjlm6n27LIvvrYzVw/RIR/hjMD5UI9MUo7XmIXUdtURYZgEKsFRjK/V1hciKpRYcDgc/J6mve2dmUThlCsifK8bAcTZtWwEAvTdwWXA4LCZCroT1CBO9ZsCewu2uabSXvfymL79haYw/lMLM+J7v+R582Zd9Gd70pjfhv/23/4b3vve9+PiP/3h8zud8Dv7iX/yL+KIv+qIXvM7v+B2/A29961vx9//+38e/+Bf/Aj//8z+P4/GIT/mUT8FrX/tafO3Xfi0+9VM/9TegRXvZy15uLRQeVU9/igIooYsJTsbh27yPESZimh8knqrV9R64kB+s7CdCABwd8NSZfltFRHNY0RBedUG/PPBNR1M1/ZUt88KMn+6hHEFp5/AcEzkrAOmFCuOFzPaZvL6h2zK8dqItD/fGqOY8NIcxIR6zXMo4ABvFnhH6JVb/y91PHi5lTdTpUBsuvI1Zk/UHwtgYQn7+CcxQlKbBcHECbH4HQJJVdpFZceeZOyEn/3ZASjCPOBSQ7ulrZ8PYPsXqPatxeKUEl7p0z9JiMd/JACGC0iU6u2ZbIwVtjHME1dj/BqA0DrYjRCE6hqDoEiCW62l4OtxE6uA0bN32J6nVwdgfHSIWxhWMBGR6azdE/ZLihp3Q5O3kmu9FGJrNYbsWucYJS/W5atRyqDF3GALCvJ68m2FrbgtlRk/a+CkF1hXMLgtN41LB9QAoJmHH8N96q8TWj/UvgYRcRydWk3/ab0J6h5Ho4zYqGK5+9f/FinCDWOPaGhUCba8QrcSYl2MPMQGkOexnGLQ5sXIRDoAo5r9GvZzFEEYUJqYFop/OPPbY/Pt0nWYoGhUEIGSJi2cWyeR5J3Jb3+Yx5TYyvOfzTbbsOq+lku9dg5kxf3Zmyg2wi6Yf/4wowDqMdYlhMvAkmC3znh4Mvqhmvj4xHMfo2YfMSL7w3gRGCcTZlacgj2Z9RCz0rscezIqipgGDE/2k0zt9MCX625oRzw4Zc++s3A6eZFsQbRmhVyP8bzCUkjU4s9VUHHxzoCWfLz3XoNoDz56tijF+NJhT8czXaf4QPBRQ7Zk0z33TTxnPvVnoODS2mEOsuaQQe+jXKE1sFPaQHuZtv/hzu0tLsDGzQeW0pdRXE5muqZbCelnIwH0xvaEItbKIPUXXttlfc32qtym0rmAglQgnyMXMoGJg3dU9wvWxY11X9NYgvTu4upe9vDTLhw1AeSHq4wdTXvva1+K1r33th3SNp59+Gm94wxvwhje84depVnvZy14+2HK2T6Th6KKIYAgVCBirYHhm4Ue8BDXYDVWxQxk7G6Kap8XdqiBqaM09lX64ysN12CV+hkuDyJXo02jB+C2iWNs6eeoiXKOYmJ00Sw3o2QKCpdHWYS/EAU9ETvICKERaiprawcq1OHQy0KLfFPa+x4MDAPPidfPsAxcPu6d7tYeZnLjY1eO1t98b8dm9h8fMUkBb/8hGD4TcaFc4PyI6PIc/DC/z7s1dP3CtUK5A2p4Kq1pVyxQQ9UhhPhVIW70efkh2MIsKAVwsHMxBLgMcQs/ENVDQkNoIFFkyolYnmhnkIFHOByQDZQyvJNwCBUjIRECJM6NF6DFEP4bwqaVrjvnKZrqmsQ1E6Bol06hDZfX01u71zKwvPuPEKq4QgBjMkn8Xv7IIRhpaNQaF6hAcJhd1dYjTQZyexgzB1pmQsS6U5mkcwBNywIWcg+KeU1LTzuB6BS4LSr3n2TaCXQNkiIwSegArxKa5wQZMGChnaXdFpht6GvCh9TDAizDABoDIk7GpGEwSWxMEB2y8n5kI4iCNQjdzOq8fyzlniu8/adAi1ybFC75xUegGx6V0asEGPHHAMwDf2HEmoz3x0um9TfE6WCpY+3AYU1a/aQ1PeE98d3O9yaA8Kxrd7vvhVP/zD8blePrbWxh9kf0gEAeenQSIZLvN2dSA0b54Nk0ggmzW/bYOXC/rhWRdPKRESEz/N+fTqGsyJeDrKdYsSswI3AZgxM1e9ElcFdvh2YbvbENdog7TCOhUI0KyJUMbKkAUImdJUuwZvi5iM8cYr2BG2f0NTBEFWHiaTw7OxH/RjlmkPNh8kU+YpjmsYx5a+M7QwbL6OZOEagppl2Ki2uTi2pnGnFwEngeLxNJPR1YmOKvTQ2ele6gP/Pk5djNQwN5jTlpqctN4WQ4Vx0eP0doR4AqKDD8wVukMoNLYQBK0Yn8uq4epohtQqT7nl6Wi1AWKBY8fH3FcbxJE2Yz1XvbyEiv/VzBQ9rKXvfwmL/MpLxyr9+6D+OV46uM/CceHiscPnsfCQFH3kuehyUXjyA0nJhOHVEFfV5jUohiNfRYG1AFivGClBi0FYSAFqKBd3fPEqLQgM7loADUAQSBdsYoDPKhm5DJcdV88HYwdmDbChGJGaHeh2MoMKha6w6X6we7KKL5d0PoNRIGmBNJ7qHWxmqvdR7vFOqu2yQgzg1v66l5k9/aKJoihqpAWxnd8htDRTMyzFGhkj1DLDKIF6BSiqmHgC4AR5mJGvA+8a9rYt4v3FWAiq36MLHEgjowDgrDEexeriyoAdhFZQ1nMc9nd0HENESVwr3bGdkEBoZ6AQF3g3k5GFwuXUE+lPFmZU9sUra9u0OrwLLt1qyiZYrXLMBAWOlgWqMj8EUagKrSvUFmh0iCyOkXdw9FEIXIEU0GtVzgsxsgSWd22UiitMPbMMQ2NWGiVljwBCyzsihiearMAbEyuyF5NsDS6hW0+ESuIXcARAHna26GRoTlGw+ilydInYBLjFU+zZSvBvbWereqAezAhxop6uAfmClqusBwUB1L0fg3pK1p7CO3mIYV6+B8VBzwmQKZPRor/tjW1uPhk7BceFqEjDCH3gmySzekwaFULgtXCnnq2i4JQwAC6Ov19k7I3rjoBNvlrGK3SHIhM0CSMW3szGGMSAJ12rOtNhvAE/Sc1EWKKkmXjUl9HpYrtnRxe98WNPAeovU6W2tmym6gb+eT7mCL2Dg+PVEVzIWQzii1bWujqhJaS/Y6KIQ1OC1/U1LYBMEDrE9A3PO0pjOsZSlRho0AGf2iCA5L9ZsZ+3OdE02LSa4F4MJYMg19EYaC9aUhY/7gdLw7YzNezWZc/gA1JZQLD2JQKMY0dRBa31Y3tCOOZ+svr0UWwrkfHCSjFUrkMZtClQlQ8rIpSwLQ4C+FwWM77UwxkTUGWXE2n++PoV1UX6vaHMHFBUTf6dXpWw8CjFC52xLxLg6wA9XiFPVMPoxJDC8GwFZuv9gwk9Db0qZgDCDn43FlxPLrYOhStiWdIMuCDC6PwAUwdXa4S7LD56rpDasBYZHSKjGGxeAM4muc1yIR2i4Pnj443DmYzmnRQ76jFQnFV7qPwAhKGoDkzUyCyovcGOFBFBDx69ADr2lCX6k4FA3SVQhvKQp4stbuxba5vHmFdO172sk9C4Xuge9ZnvTcwW1jQ8889hOJZCJ7G4amncLj/1MV5tJe9/GYvO4Cyl73s5aOjJMsDAAhaKrAcUO89jbbeQ8PgpQQt2Aw0gaofXohcyd7jo6WDSKDkh7LMXOK09AlEOfPUpVd8Bk/s3+FFCsOK8hBcMgtPeLBmQyg8OwzzqMf7BAwv/uxVTG+3ugdJnSLs9/DfxUNzTAogQCVApLo2igMi2V/DA0dT24IKPQME5F5BclBK7fRrXUSU31EyqCqy04QXTp3OPPo3+nESWwXSsGMlAJHK1/42QMr7xT2Kogaaue6iXdE9yiKAhJEZJmmMp/d59H3oPFCGPjl1O4GAMV+MWXDq99X8CeMLFOoEJ+EElD2d4IkZId1DIGA6IQHUTdeef9TXQNTfQI6h7ZMhJBmmkz7MHBv7rySrIVgcJqExQjEiHMtuNxgVAwyjsS4AE74NLzWCDTLubWbNVhw5+wcTNyO7zVcXE4gqiA8o5Z5Ry7lafQuQGi/dPc3oII3VRD70QyBY4EyiuQqxljfIquba2YAm0xcNKI2+MCBQIyzI2SyUsUjBchrpcc/0VRAGefTL9HZm7og1PBuqmnvcCEnp0B4aQKErMwF0OgtfRpab2I9mAMUNxRyfGXiCg2K+roNtpIMNEDuN+P4UukSW3leHkQ/LIjVn5Zrn/BBRjnk7VqTN15jjvP1+MGswPgOVTZvn/XGA7XpyranpsaB9XgS7QQFQN6A1NC2Q9XIdnokJkIFXMf9cPJqIUdjmktCYE+paOyPNdAA7o7fmEEoiD7FD7BuxZi8V+v/Z+7clSXIkSxA8zICIqvklLnmv2unqJpqXeVmifdz//47dh6We7ekZqqzMjAh3N1MBmOeBL4CIqrl7ZDdRZVQIZ1qYuV5EIAAEAj58+PDd3xEUsDkx0paCrUEl5nbOhsPx9+tdtNGGLdhKJZl3MR7xDOBx+N3aSRrPY0CpZL8aI49zvOO1mblka5zrPCFSgj0lkUJDxSsk5XlsXbJ7YVSkGvGVcT/F2EY/5q2a/Tqtxb5vodCaUnsODTZMAasxdgizVozkecfctXt+axtaa6ZnRrOgbLTT7r/b7YbttqEUgnRP0ckS5pQaaHUxsK630EkCuC4orzCtTjvtP7qdAMppp532D2XDzSoAreDrt9CXH7DREwrdwNQhcgOooJTFqKTM7kwVUCm43T5aqUHtUL0BegO5oGJQZV+LwD1sUeqheNvIc9yhECFwlA5FmXya40bSnUpRfLp9QikVy7KiFAbXiiuxCzdapHE4qLFxNgeAySEYis1VpC9ZrvXsUKkzLY4bZoLmpmrsqTR/DyG74ayxAAcZ1p1JRCSZjU0Bi06LxrVM3/b+b1vf94+zPVjFpSmt3cISe21jFMQ33EEjB0pENyu2QECD57H3eQzuTbUZ64FgWh3EkBTgG3RvkW4AlQClLimOeLTevRqLs2KYbEyoFBSjtPjGvtvUUkVvHZ06tDhAFkJ/zuwhBkQY6FaOGMoQNjp8qeGALOhgS2Xi2JyPOZTgj9PWA/AbTIIQmg3vCNDucyfYMvF6AkbdIq7ETlkvdp8JoSd1H4AGk0ktqltyEuwq6DAvPvVnh9X1HlRAVAGqoLIa+6oYEGFldz1FJsEfgIu6UzbOYVIB7gzFNcX7ZGKK5js1u+8jZQ6R/uFtkhl8FCiHMwOXmDHGURfN9SYZVVT3ZZx1BkGQOj/6YNp2Df2gYAAJmHuOa9z/7KS2xNE+a+FdWftKlCKmqOrlWlOZohTO85hT1nCH6bKsejjMQ6DbmAsjLW2AFQYqd+nuJI9UvMem7vT6WDOm83zt2n483r6jXj/3/5jtWS2c7BBoqPzA7oHd3HVW43Q/B5bNzK4t4yCVg0yv2/212qsusqqDVbN7XzXHTbp42WcZ2kL0Wn/Z3No/h2yc7NlZAV1s/ZGW7LwALGLtR8DAMtpv1x+oH6bzkD3jQJ7+M0G4fq8wxXyeEBrEveditL2DUI0w6ik4ZaqOZ2uiPd9ELf0ymIcj0DKBQhMYwzwDkQ9GKQGZEPU2RiB0Cnb4M5/IRO1VOj59+oTefL/DjFoKamHIttk8UcXtdsPLyyf8t///f8Pt9gn/y7/8AYAJg0eqD5UK7UBXoJBpTl2v7/C73/0Jv/vTf3JmD/99t9tpp/3C7QRQTjvttH8Qi4j72DASKur6HnV5D65vAG4Q2tC0oUiFNkqdj0J10JR5BbFA++abF6PYm/PimyvFZzcvaRppIrHx9e2gU7mDcu6wBKCWNz9zLnaHQ4AhY3NEZBRhRQNaeGDAvDNJxoQgnSQic7aEvCqPR8eiJG/G3zM6rCYwFzSNFEqIVIuIiFrf7KKkpYCdQn8UFAznmkV2x0gHga3KRYwzpW5HjQsDXJOE4VE2VVhdFHUmgTnyhaOvy9hcm8uF4tVTNLUC5lFwhowDM46ReKRTQNKNLQMDMVSR9OYR+VaowKrcxIZ7N4cIRIvPEUqH08CtFVwWA2tU8xotbSBSOiJ9x6upJLzhFThio15M06Omk2DfMXo+e1lYBRI8824mGmkYYNvoU2z0iztw5rQFWwo5h/x3RkAN5BIMAUeboTTugQBQwpNPsMujxIdbxFI/HjvA4vcwUwPU0410QQrlRoQfDKYKin29kkeQ43rUgboRAZa4xgCaJKp2CdR/I1zbFI91xwvu1M4OZwIHdqzhh5Pf7+5KBjNLg2EBJDwlAaBM6T3uMA82lDNKnEkx82l094fu3jvaHDWPPklQ1u/hEMCmXKdHn4ZTaOVdG2bmyRj3wdwzVtP4LTLWMuXhOEY/Ty3FAJbm9038MvR/X3fkX7fZwX0EXP3PtnvdrP068ujzIQA+dEWm609GBjL96DUb43J4HQG+OBvD71VEv3ymRLBCHGCYriGHbwB0drB431gghSug1cEGA6pF1dlwQ1fE3m45VsGQe7WPD9ebeiYOPAxi0QHAzDZOTC6/xwAHrGIuxvFFARKQWOqPfa7kWES5Y7vX/LmfKVivjZMDVIQE1lU0j8nMQ8iVKIMpwR6xl2P9319jXLY9f4KxJGit4+PHZ5RyA1FJYerWFEDF+2++x/e//T1+9/s/gT298u42Pe20X4GdAMppp532D2EjOSKcnALQgnX9Frf1B5TlHRQf0CFo8gKBoKhF9QsRmJbcbDGvKNwhnaZtjrtJ6s6tb4Zys0xzW+IN++kqDprwHTBQSqTq0BSll3EcuE84eTS2+QkFhqBGIzdZufkEW4NVXJjVRfZ4ACj2QrA7nLEgTgpPZ9SBH2aAKlQZINchCXZFRuMjQjeiaLkZcyf+kYMSAAyL6ZAYqBVpPGQpEwgwy64liyrBr1UZ4Upoiq8Yu4Difac7Rx+Zc+d6DQshUlWsUo07zc5scb5KzgmlKIEJoDcom1bGHOUbaTZzlQYf7xynAA9MKyLnSm7+GVRWlLqCnKnDHJUVBNS97z3KGCLICEBBBabnQSBYRNTKVNcRlQQA8X4oNgelT7ocEulfozxxzBGLfhuYZUKzzg7waWub/QqmAqC6E6cwjYIQucR0T+2r9WgCKA4AZAnQ4zyKSPDhdQeZONO+2PR8mHx+hFA0wCiRKQOnzsA9Qne2gtkUYJCPY0SLJSoVtZGS5VR5jjZ6O3eOtg6AMAAUUmOKIAVVR6Q+dEwUmuVYBzDTXAB3Sog4gk0UMNQkSKvTz74Djy9MXasJbMTaNs4R9+PoL3vdmUrUJ30jc/B734ZTGe3WKIU7XlMZqWHBIgEp2FNglGK8pmsg/8FgWGSEngfw8XfgJ9h33v88BGVm9gEHUCqfI3t2z+vHintrMHhCrHcGTIbD/pn2vPa+V/0SB+ANuLD7dxbYHSCOZOnjSIkjX2N36YvqaZjBLvOblLmi8AJggVWh3xKoVmflhA6JqmLTwWSMOftwzThckwF6kmvfqIgj07wKc50QCLQOECWeuZZi5nM3ADftoO7zkDXHNEqJx/ioV9uzJYc/O1lFFeR6PyGO3sQZk2KpySHYThjPRXGgiKfneDDrHhkBCaBsW8OPP35AKW9BXoZZifDyolBUfPP9b/H7P/wT/vDHfzbg60ROTvuV2gmgnHbaaf+ARgAKgBW8fg9efwLKtxD5K1Q/WhxLOhQvFtWnkt9hKljqE5gYTAIR9ih4hbm4ZTrHtFnOqgjmzFBoUagC3fQSZsFF5sidH1UrYlO5O+4EYsRPKQsKL2Aq5iSIb047MCJSAabYa5FbH1qjogAXQVdAtSN0V5gIOrFiRBWFeVC91fRS2gbTasgosqUPjYiVl4DliqDIl+JU8anUa+gOULc6uD0dBQM8IjJGXnrXwBuASLEUFzFVj8SplRW2zalp1iA20wFSkFU0CBDM4RYYhbliaMDE7+bipJIgiqBY3/rYefYAQtySnd3CpSD0YqJwgznbxdtzjB4qlvLG+2vSDShk1ZicNh76BOTO37oWH1sXLaTqjCRFa82vt4JRQC6me7k8YV0vKKUCamKZvb1AegOTic4acAIvtc2AlrxHTF9h8X6E6Ys6EAUH0yKSWWq19BwHUMiZKxpiwNp3vaEKSHfxWKgze4L1MTNr4j70W7CHo7J3nFU72vbRXHhmFIgBOmLlrCxK7v0ZUW4qdvuSgy5+P4mQOxcxBwhKnACGlQMNJoWlwEVJ73RVaNbocGdqCsPqnOvmGseFeXw/HSjr60KzbonrhWhc/XCGLZVmSedvlFMdqQiPUjP2dt/36sAt7RBNB7N2/pGDPhIReQFRt1QuZygEgGIfD/A2HM65fT5j1FleZOuKOFtgvrMGiDO1xPuKPZ0iHNp9xP3rnbtZn2N/jNctGIkuNeJjMsCuwZQ4fmeqEpapL2PMH50n5tsMoPQuYLa1b07Zma/ltWuVV97vLuwL+EwhZMUg5QfsE3XgP8SgnVmxS6XKNM7D/ILdh7ZuV7BX5xKxtBt7zNg8IbL0NIqgAqxfA9zTz4AoIdw9GydIHc/ZeV7a77EGdpA0T9f1oAAGMzUAduYBLkGAOQgR98cwMjbl59A+30bEHA+gQ8TSFhXilf3g4t9Wgacui5d+DmZJQ9s2FB6AyrIsqIXxT//8T/j48Sf03vHy/IKfPjzj+dOf0fuCl1tHWRYwL/jx409onfG7P/wveP/7f8bTb/8IKieActqv104A5bTTTvvHMNLDBtI0GlCu4OUNlut7bJ8WdGEsHJubBtENXRitN1N0yJKBCwqvIDSQtiyZO8V0h9MToSz1zVT+rf6d+Jx/c9qN7bUU4tADPOFIbyCyUrmAObATQ2G/eZ4AlGizaxGo03kRUUyMyDllWWb/Gt1HM4dopWlWSIatsYsaz3u6AGfU9SWi+46UfyJyDZcJgPLc7XCBRq659ygPICQcc4axJbo0gNy5gmAUQyEfy4NDRbDNO5ELmUoKrALiLKJIxXCHkQxEAek4mkY03udSzJJ53w9M2+3olzltyUUKfZNurAPOTb6Np/W3+QJj/vDkXFngdziCIQZZVA2EK7a5tffUS2PCqrFgOHB2PaM0ODDNPd1/LvtZhlMa/RHAg7Gmoied5aIm6BtjwdQTVMyeiipNh04cDvdoyEgNcSCsNx8DBsnNxpAsBYACVfQUh6iAE2DmKFHr4pAa4+VOPI97LTtkBkGnMZqFSkcKz5z2MYOlyHs/+i/mx3ACZ+YEHY6B3XsB3A7HLLpNx2ej/zRf+DKfIvzI3T1175Cqs/iyOhHiJ84T7B3v4/jeA2edyKAuSWd7OivNa5XdgUc/c5+icDhXTq8xhvv1avzEJ+Nc83GP6/wMrMQ4PsIh9sfdf/9h+qNOvLhDetncf7o74nwtdHjNHH2RMU/mJoXD/8h5H6ml9306rwfzGnFs1e4ap/kbaa+qlPojyLXc+z3BsnEvDAaUrYFx143n0fiMYzqISnyx3r5m0X8z6zKevftvBdByHzwY/TKBS6R38wd3c8rarj6RRCUDMzEfd22a+jHW0Ei5irWFC6PWgrYZi633jt66CcpelmwDE4FqxeVyRWs33G4f0Ls4CCpoTdC6AMXOedsEoIp3777Den0LXi6G2nwOADrttP/AdgIop5122r+/xQY+9kMK2EZlAZZvcHnX8Pt/+oj/9l//Dzw//xVv3l4NFNEbnm8/AtsnPG+CulywXJ5wua4opbpgWgGjAnRzZ89+FN2dKQdS3JE27ZARUSMAdQmGC1zDQgA2ijNj4on4JkrCAQfjUi+2aSGgNxOm00IovLgTbCkRmiJ1viGdBEABRa0FkZrCuw0f7TdvOGzcALTWrJKBUuoEMFcQBK0TIgos3dI/gtps0StF77Y5LWUBlXtgJqz3jpYpKox1JdTiG77h10C7R4+LVRYopZpuDSwfXsTOC5iz9vLyCa1t2LabsQ9ABn5473QJ9ouxPJZiJSpJCa2LC7u2fWOjn2VDVCRI5kr3aF5dwz02kVAHc4zR0sB19Q1rzVKfe4t/W1+2NpVIrmv+fWvbQbPAWBddBK1tCMCj8GKgTLGyl6oFvQ2ApfCCwoz28pwbYSPxFNRSfH4ZA4Xdqe9im2vIoOR3NVZB7x0KgugNdSEs65LXaZvw0GyZqzVZtyorWgqw+t1cF5RaUTnKOY+KULGpB3kUvFu7WtscxHtxx4GhYnedOuuIUKHa7RqaJEPC2BBeEtVTiroErtCsdCgXlHUFk+kZda+8ETHzeyWJ0d8+UuHaQNXXCQqBXvayyAYUMhuIVIp9r/cXH+uY668ADR5ZZvZKHO7MmiBrRMltHorr9lhqgYtI746rmOBC1IwiTx4jWeWTGQiwVCab/73bPTPSHuxeGhWaHjnmI92ELR8hrzkcektttBLa67pOIMrMLvH0wLIcgIpYN2GjFsAKWcpEpbrr62E+P5kAFJTyWBw6U1dkAHKDCRTVU16X2bZ7vk7HGmKvAVou9ep9xDvnPVNIvO1xXiKyErhlv5Wvle++G2BHF0vty9QbP446WLvrn3kY1RhifWK/aLJgYr10BkQd7YlKQFYKeIUvDr6ukD93TBgbapVtSi0gUZSCAbT4z1rW0aRpypZq6SatWfu23p3RRnh6KhMQYSbSva0LgNXEuDmeAQNAClYgFQaxgYi9SY57b836gMpOVNe+PNJmajUAewBUA1QptaJtHb0LrtcrRBQvLxsulysu69XXMqtctSyXvD9aEzw/P3vKkM2vdVlwva5WTeel48effgTE1ud3b55ABHzoptNSiKFN0G4Nnz58AgnjenmLy5vf4OnNe3x83lClAaXgeSM8Pb3BH/7pX3C9vAM2AJd7kPW0034tdgIop5122r+bjQibjM1wRF+C9ssLuF5QL+9xuX6L3r4FFYDkBrCgJHVXrYLDtmFZrUKH0X4rQFb9xCr7NOjOYfBqKHFyMichSyrC25M56uZW9d5zsxtRU4kIucpdpDEdKxpCmhkkQ7Awji6bwzMEgAooUiIAJFOCYNcZNPq4Eo9q6riyqUQivPoJITRYjH48KkLExrtLyw3/9VKsYsIDY2bUZbEy0lOEduSX30f3d1RzhacQWBvAI/rcRaFgFFEQl8QlxB3EFPlVc5YE7BV6YjqRl1ucxn0CqtTHSz2FKXQVdD6GH4c4mAQMLs4u4dHedNx2EX2GaoNIz/FvvgkHkZVzVZ1O5NcnloJkmgIh/AqAGCpecWX6zjxv4SBe8VK/JcrQMqGWYOrIiM7ODBowSJ0lBZt7I00uT+b9LhPoGT6eAq5bw+TzhSJ6HA7oECAd82CsBwEeWtUpT5jy+RSi0NA2GEoRFod9hsLh1hB8tDUi7z3XQRjOKI8fZWgqnox2zZpCUeGD4KU+sw89xYwsFauUmoAVM9mccebTI5bDcK7Ga4/ZC3r3O8CTdJpDrHo/i6e/47pmjEWn9dC0TkTndSn6X3dYSaSZJNNq7qupOtIEo2Y7Iu3QgCJOMWSbC2MNi7bGse5YEtjN0Dx+nHaAMLj73pdszNM53SreG+eKv49slXGc+NkfR9U1L/wZcM/soNTgUi07AGf0zSNndmZH3b2FwZ6y8UzgYGKKxbxXX1OIKBmMtp49ZteICnpv0/jFb9MisTUJACEBzKoVi66eLqMozpYkntrih5HpcvfX/miuP+qf8SwiggVdVBOcz+/491LsOBlBo03JGiTFbp2YT0U7xaI890gxHM9DS+W0z7XmYLb4Ujz1AWINmVhK1k5b26xanG00pHcwAeuyYClslXm6oLfmgKxga4Knd55WRcUAZyiW9QmXN+/x5pvfoK5PAFd8TgD3tNP+o9sJoJx22mn/jqbTX8H4mDcfltrB5QK6vMP16Tto/8Eo/Eog6ungCMzh7NuG3i/uHFUXW+temUW8wgo5+8Q1NlQyxUeDgTJXwvHNrLlg7lp0SUdnFpcFFINiP9ga1krebbBmFjVRGY7JziLqGnsk8Zx0i67FxlopUo+QEd1ITdHoXde0cDcvHR4m0/xQLlnlw4QEO1rfrGSlKNb1yWCkncNlZuV2LQIZqSSUVRm8P3XeJE7OswApTaPmgNZSc5/ZqgEoomqlaR3kEhV02bKDCQpWQscAtgQCcGheuJBhdFQ6K91EXcXGLDQnEkBJJ0hBhQAO0Mk2zurMCStUEiK0B0etE6SL619oiv8ByEjqUdjRIscbVO18igIhS0MrpQAU2jHDQUkwAUMjAyCUsqaDk5VceoPpWNDwh4lMA4bZN/YE4prgQvaLR2oVxtY46jDasRilzA4ePIrfsl9DQ2iuHBHgCdH0g+GsjRLQZMyFqdqQAUNGoY/2EjTlPNgbwlyHyOJUmShTnOY1aEKIsh9mkEBMDSZKQwfTp7hA5gBqgKx+rQDJ0IYwH1YdnJup+5jG7ZGDPNaZ3oew6mBM7JlN0+jcv07jT9Fxv9q9Opchn1PehiNp69QkgJynGuthXGasdeqsAyCYJSOFbTAvjv3wqA+Orxyv8fP2ORYQMKpKzf26vx9Gv49jPm7X3fhEWuPu+zOAEs45P7iiGLSvv9bddTqIEs+v3U+ed3L5ZxDlIDS+B4rsOdX69rBPTVZpGc9QinutQnUx4fBgeR6ZfTog0Z952cfDuLiq9XWwVpkcjEQM4Jy2531H8VxwUM+r+sTUj/6zLh73h93rIVyNBJTh94Pdr4Raavbn1voQBnYQP7qUmSEOrkQDYy1lZ2MqCVTIQBgHUGotqGyvtc2YbK113DZ1ptsCoKALoQuwXN7i+uY9nt59D/AFoIm5dtppv0I7AZTTTjvt39kUIUbpsS9k9Rmobb55Bco3eHr/RzA6Pv7bJ1AvKAIDUYjAy2pONhF630AkuCwMLQSV6poaQCmLpTWIRZosAhcME9hmg6ZcfsDYMKFZAIWxP+y7EcGPDaVtyoYj3bungNCgI/P8HnUQM2qx6i3aX6eBA7GRDwq5uJNc8/zSjWo/NR6xae/dyyiCcKlX3+Cpgx8EVnNOFXO6S4A6FqkisG+u7jfFUdJZvYKLbeQUQAfIxDntb98sarM/S31wPAK5mOtSjbbdVcDFUrBas/QQc1z7+L52b7MJmza4rgiVyaMhhFgqvJKMRdvF2kajv6YQabjo2X7AHc3eIWKOs1HCZ6AGABRNbtjkJYVxkRFsdTDk6NAqVDp6e0YwnSBqJXpJoH2mtvt3qEO1e/luH1dE1YmaG3qmaFP31KVQwQRAJuRLwQQiRvEUpVJriuAqLJ3M2DN2+p3wp+sc0ASgqG5A9LuPk3R3YHYRffu3Z1XAausMQM2O0Q3YSzjQQI+ihlAYUFJMIFbMWYk7mKlgXS/2rx2qgQRBDADqUG0DOCUDywwIdZFk6zIUxNgUMK8mBEwLSl081SkAoEQDQJW9okYACv4Wc6YDBjsmKpE8stnpjrWh94nZwwEK333T14fJwfM/pW/ocsPekTezFA2evgdEhZVCo2rLnLc3VwNBzh0vc43QdimZ5mSMLb8H43gBFh+Aiv31+O+Hjt3xtXGM1JIAxrMnvhPrvY60qVh/AcrqNFFe1m7l18dqiFx7KWI1CMPATO/LXRvmFB7FjCfswKqvtDiqiDgOSJYayGNMZ/BktnDqiwtsRxrQ/J45+z0ZgntQyI5u6W4Kkc0AiGLis5UrgBWibMDovCaMRnzm6u6T7vbtj3bOKaotqw6BLIUMIZg7HS+q1fUu9qzzFZWZPMWOEcl7AUjZOXXHljmMbKZP2rEttfByWR3M79huN+tLZ+M57A8lQmHG1jxtOIDUJsbuWQpIGb1tkLblbVSKpapxYQiATTo+fXrG1gDRgt/+9g/49vs/4unte3y6AVtn/Pb3/4R33/weWN7DxMgDbD4BlNN+nXYCKKeddtq/v+2ewZobxdwyUQFoRV3fQy/f4SO/8XKjG4BmEVEP/xB8sytApN2AIkXGnEelEBSNqBeNn4dtQkbqfIeLiCsl24Pn6gBjU9m7l4OlEaEKuntGsx6GKqfI4sFZyGinwMv9jgZPQeR02EakvzuAwuliGOOAkzARaT7hnDO5yCYoHZpS4hrmaOt07cyufTG3W4dDlZviffURKBAlmscYhAMZ5T6PVVri0+GIWD59XoMq1B3i2REbHdn9Z/TP3K5wJMjnSegxKDRZTOqpKSIh8CnuXA9wQxKsMHBOu/o5FYQlKerDxCrCSLO540K7qgCYrMoOl905ApQYTCYebdcxGpYuZGlo4RREh49It6XtEEep0YLiTCX7qI5o59E/AlCcuTGLIPYefR4pOPH7ELkPqIMA9vl9TINAuBIKKMRBSdNWSPaIO6PGiohJR86MqdP6EpH0GG/rC/Wy2QawkrNYBktlgHG+knilIuZI2wk2SjBhAiSm7GuN6L3SIC3R3indpQi8YjOD4vhDijw24XgM9bYcX40SzvdAhWqdPh/IlB/ZhCKwT92L64i1y4WBk7kRy99YQw2MiHQh5DHis6+n3sQ5EzGD5n+8vePViekyp7ocQCM99uv4t/XHtIbhMykz2X/HdZMSlLR7Ilhl48YyZoLm4+ezGMIXLcABPwU7G4Ip82KSeTKxhuYuoXneHubInO706NwA+frpld/E2KTMLrCea9bok2jvXVrsnT0ClPaNp0O/impWGgoQJdJxoPt7SY7PLPg6xZHQNwCo+RnuEBn00Db1zh2MJBMYLyaU5Joz3g80rmReI9X7PM5tYFBJYAcq0C4I7os/+GMgB0hbGEQL3rx9j+v1HUQZVCqWsuDNu+9weXoPfcjSO+20X5+dAMppp532D2r2cLYNRwHjivXNn1DKBeUvf4HgLyZAx5/A5E6g+X4WPVWGLotvDKrV/T049ZYCRGBYJE52G8E9gKHT1sWAGktvUFUTafPNFBPvnMZMVwBbjRmn99vHTeSTEakK87mB1EABspRvaqWoX5IqOo+oJ3MBRNCdgRE6KBb13CziS6G1YOdhDo0Lc8D7ZiCLCbx6e5Tw8tIhsmX0Pkw1hAAVFAKCaiVNI6KMqHiz+x4Q5ZNZBUPkF/aboi+MyVKmzSLn5o2SIwPtRg5xJ0BBgHaotOyNAZ74RlqsXC3E88yP0W1P8eAAf5jQW0uBQlW4WzzGhoKOnl6rovcbpG8DROkehRYBEw7ilQrAwA30LTe8SgyQl+st7FNj3sR2EMS1Vtw5dGcJMtJcZLN23LZn61toat9YVZsC4sUZFbaJjgirsVxCnLZDe0tHbHf3OOAyUngIrdkYM7pX0DLm2Yirzgew/7A7NeTeg6iCQj8FGJVAqDjYByisXHOCFLDhCM+WSnWBYOS6Ybdjt4i6jLky0qcCmpnZJwMIsfQTB054sX5EOaQfjPsZcPCSB3gZDhoh7vUZPNmnUD2ywWyIe2s49AmcTIyFXdrF7pCxXgSbK9r+yGbQOY471j/7CcFSOF6mDlaa89o2dQZXsPcoU2YGwDM59rk2fwGpiPYlUvAaSI19qpPK+KhPHkmWQABAloY32jpEmL8EdB0d8Dy3dgx6yWhP7x2t3RKcJsfrA6zNtMGvNCuDOwStxzwY4OHnDndknMzgefyOuRiMIXsjxov8uhpUCUIdIRrPLlKu4iXYxYDtLsYQCZbjg1ZNv18DUKZ5Q+NpnyCyFhTPUWVkIi802HKuVbUH0CaQ/a5ZexBl/EzjdZjCAZTVWvHy0rFtxuSJMRKvrEPWUGNruWi06Q8B0jtqMbYgL57K2sQE4h0Ybc4+4lqxrFe8JQC0gsoTfvvbf8Zy+Rb/+reGd99/j2++/S1+88f/jFKe0LeG0NI6oZPTfs12AiinnXbav7uNrY9vLnY7kTK2ueUbUCUsb/6EFxF8/OnPeHtdbDPBHZabb9EkEcHt2Rz4QoC6w2OOX2yNQuCyISqdTGIcU/sGXdWCquHuqVUSIIBIx0YHs7jfPqoNWDUVQCBq6UaW5mO021oXp0ALWmvpaCxrHZEiEohvlsjBDcQGTsVEGdl0SZgJJA3EatkpwYh3fQtLH7GNYBdB78aksGi80XzhzB7b8HqfuAaI5fCbIxRtZjaHk0MkMMaRGIUVzB7Zi7aIoMMq0dzk5n1dsCyrRfDZgBCmYHAYmJIOv0QaFiwi2tQ25QSo9BH1e+BvcVDjRUw7w3P3KUAN79eMWqqX8i1IAMUDleZE82AtqDuvkG6CrVAwIpI5SpdaBZv7aG0BgZwqb5HY7ndJg8pmmEhsxhU5uATf4Ev3uacgVJhAMrzYrCJKzRgIFGkvnNVemKs5bOG0kB83AK3iwJ7sBWG9myBqooTW9QpxgKzLAJKyGo9MTlgABxROmSIlOJSSdWWsHwO+wAIN0ML1RlKUGCG+6alJpRrQ5+tAVkOBMS7YaGrGLKI6HGd423bsEwNFC5dDWW5Khzquazin1vHSIqLdUwDWKhA5QwlwtoV9XrUki2OuYhRgwwABTCfENJLi/sUAOAAHct1xVtcKwlgbotLKsHEdvSuUY9IfgAmNtcMvNdlTmvNYMfBsVVj1Ft6DQzvmQzQs/lKMfoixCzYDAaXYbA5dm6PDvXeAJ7HdcIhpdzoMTZ4B4MT9Po9rvBbtNwbAANTVnVwiTaddVVIDxhewPF8YUdy1jCE+PIPg965sMmoUSAEgGLBBbPdA77Z2a4/nCrtgMO7wpujv4znmsdoDKnadM1A/AyiRluZ3t+uUFU+hRc4RUav+IxJi6v7MS9Fnf9HnVikLuGheXzBMJOeyLySbC5/XmhAu+V1AIq7PQlCvnNfahtZuEFVUXgC2FEeuC0AB7Fo6qWloda9oZ6y0wuRra/X0vmoVxhC3pfUNF09lKxWlMkQZzM3SBGtcrwVcuija1v1ZQtMehyAEKCm25xsIwLKs6N7+YHB1AYQIygVlWfHNt3/A+2/+AJQnCF3x/pu3eP/dn/D2u9+h8AUEq1oW+mKP5sBpp/1a7ARQTjvttH93C1dk2iEhIjeZhgMG+D1QK5Y3v8fL8wc8bwVPT4s5ePzsUSRxpxy4yYZaCrBYRNrAFZj7qOM1A008BxrFI8KzBspUwQUAPNyuAECRHz9fkaecTBHeOcrHXKHogIxKK102XC9XlGX1jbg7h576UZfiTmUwEdyByd5zgIcsxaX45j3F7cT8NurmWBnYM4NVUfbWwYhMaxiijqWMTbS1hTO2Zxte9dSqAW6Eh25aHEh8Sp2hAtej6dqgaNhu3c9BuMoVtS5Y19BIMb0Sgm3Ke/ZppEiQ7bhdZDbhgnQK4rV57gW44o5Lag1QltUdzowBaOYQWbURFcs6ig1+LaH1YE0J6ADm/riDEjKC6tNddwKscT4iMkdAOrSLz9EOImPVmDDyrLcSjoD9tvKatok3MCiO7m1Kyn68Qige5baypFYaFEw5vuLwC0i8uk9UoRF0jfQhuDtCkL7trsvmfUvQwOjzstuIE8/OkY2FOk1D4z8BlgZTQgNH7AB5JDmOA9dCAYFd1BVsVa1s6LunEzQD5rwdcR+ISHQTci1KCrvp61gp2cmhyzne896PsuPM5giHZoYEgOKfl97T4SMisNiIms6Kj4XsHf8o/W2pbtbbO82UdIjNgWIuGUVWivnv80CjFDTuLHU7ElCcP2SOLEelqlwvRzpGsGMCYIIqSrWKIwPECKHYvXinsdj2pwxNCltDG4jgzIeohISp7x08cRBd1L43Uk28Dw7X7ZgeVOGg8QyI71+bQZQoPx1rqTHDvPxt73meeM3OM/VtNkD9VJG+uC+1vE9vm4CmZPEASpEiZusyF0LrN4QQdCl+ofO51WbE1+iskKcBQSenekrJOk4lYs7nh8F3AkZ3/TF1EMUZfjJSmKxfS66dtoIXCKySzFKH+Gprzdg7MgSLxcFB6YJaawqyRjts3bL7jF0s2so1b7htL1BV1LX4nU/gUqBEuLXgOBK62HG4A0u9+HmizD2DuIJ5Sb0yK1RG2Y+mB2PBi6oFXEwnxspTez+QzafbbTPCFBdbI/3H5rni+fkF67JiuaxotxeICEp1AE7U1kVnF3773e/wpz/9Z/RyBfiK9+//aADKt78FcIGCwbwg90KBZCLAwRNEOe3XYyeActppp/0D2LTRvtuohavp1HmuKE+/w+X9M969/BVc/gLlZyy1Yrt9xMunH8EopkC/rKBSAa7mrCtQyJMWiKFZrtQAFEB9427nCrbDtjXbs9Ahmkk8baT37bZKJ+QRG49U+/8sEkvueBXLCHBRzNvtNjbgpSBywEUF8E26OUDuoOdph2Nn/7QSkvah5oCCoSjkx1Q1Ec8AHIAARpzZQbYZM1q9ukAqUIulIPUu2LZtOCAP90+vbaqOr7vjQD1ZBcwC0QpVe1SpSvZ0uBEBvEW9oUdn6L2j9QZkZaV5oKp3V4hADkp92xq4GgtjWRYvekNgshSNLupZGZpO62ABOM9DXcukd6ALWAhQdp/InGHWEJE9OqPBqgkGynw39HDTs0fCVbltL+ZQx5wFo1ZxpgQjNF9ocrCGBWW+AR0QcQBFp6pHrhsjPQRoY1OvznwAhrO3P3Zc4yPn/LHNIz6/Zs4EB1iCiEp7X073pea6MipgCLoDFx1NXqBiaUUgv4uCYTJFylsfN1zc90Hfj/vOQIA2nBijiVl0X2z9iHQ1Y5c5E+FQ5WXuJ53Ahe6gw0gpGToOo3oUodaS7I8BeASQg5yvCiA0c4IVERVIRioO8vqOlmlCWUHK+tfYZuHoz/pC4VybE02qWa7V2EDkzIXB4NFAzWh8N94PHZ8ukgDFPh3uSzbm0pc+FuuhgR1qADVRpqqMNMzXHUlbu6OiEmfKkvfm55vgz58AtHcpWJPlXNlVExvAEBGhUEGtUbZ3X/VpPg7U4I0AvcJ4ehZaiqDDb2osqpjPmbp1MOmCW7/5/UGoUPQSwsLF03di/P35h+MsHMzQoNNZCd9x3YADXA7Uxn0zi9+OEMA4uorvEzSeLXFPAdfrJcW0t20zpt3WUZaK6oLno03x3QWqhNtLs7WmMLgstta2l/xctFukI9hTta4gVpSimWaazC6OZ3X1SnMmiR44XC0m7MwASlYQs7VZmbGsFzy9eYe3b95hub7HrRdc33yHy9vf4fs//BeU9S2AFVAHTo4VkU477VdqJ4By2mmn/QMYHX4/es/FT7mi1ies12/w5v1vobfNo/0dUKuC4eFypBMSDjZpRltHkRSP2lDo58MinUSIjT/mI/nGxWjEwdS4B37mDW44+XHKcAPIHStAs/JP6y1fC6AEiKo/sXkOirxvFl/Zr0caR+Tu5PbcnXX1vO6d2COCARDH8KtX+PWOq9g5fPRqM+423zGejyxc3CF6S56qEnRwh6NCdJUwNuiT4zkf0d6bq3lMxjEy81c8r9w55EzpfvqmdkS3VQVCkQCTyhxIUdq8Fk8N8rc5Pu/nJ50BlANY4BVOHgF1R9Al2Ak98+LtGyLd0oe8zRMVAEiHIiLwnlbSndGUVUjEmC/aQdqNpSBRKWM4j8NhejA3HzAWxl3xaB2YATIc3p/vQf8dczSp/f73VBVpAA89f9SrEUmkO2gwAvya5rMnq2x+bTqueV8WPY/rnVJmoqS63dOzg/vonphYBNPv+SdEMG2MzHELJsdo49Hpnsf6/vd8ncc+n9Nr8jtzCpayX99wtmQ+djjtNOQ8x3rjzp2GjsbULxNAMc49/0xt3YHLc4T80frweeBCB9nB17kY/xjT8f0vsTX2jEQ8GJP77x4/9xp4Mph2h7VZnXd3+E7qk8z3jDdjP7+GDg7FQk9zn45zH0VWx1Pv2KdDkBUAqNtzlKn7esOY57elqfh3X+1hwqiCNMBLW1/3fcI8s8Xm8Y8nveZ/Y7yMTRQCrwbK9N7QXZCbHwB3sfeYU79mIEvV1ut85vp7BsRP4ukUbLlYMmkCgcbf2eMRhCFnwmLMI9H8B0pdUBdBWa4gXiEoWK9vcLm+Rb2+AdECPTx7CJPg9Wmn/UrtBFBOO+20f2ebnabHQEo+tgkgKrg8fYPLQnj/ZsGf/zvw8vFfIc83FLrieiFszx9g4qEdIgzVQeEX3BDldIMmDBSn7FYQu3MDSymBNhCb5oPltC8oXjpY1fKzgwsxW3HCDOUVxO7Icjsi6qcovrljdOlonvLATFgKoxSgFEZrN3QCSq0gFrBTkQPouQvzqZUzFDUAhXiwJHzLmylCEX2NcsbFKeIRTQ/nyCK78zh9NY3gqywKdzBZ+hHIdTR6CNBq+uR1omoTa276P9+k4xbcx5yiSoIBUixs2fDaIKFngcFWsnlSDZiAgQrhANnGN3QteoIV4toWRU2Rg3ikCHFGPvmuT+28Y2Ou5KkxmUIyfZZsy9/TOTGHmmgwY4gYiP7U0Ezx2goE01bx9wTNwaoCRYANwTgSm/uTs516NQBej+jH/Imof/ym8bMDjB6x0kY/kTsSIEuVsPQ2ryIUqTYOKtDwDq0Ecr+ZmK0zUFRMzFIDwORRacIYY0eH3+9nIoAGy6L3hhAIDgCl0yjRS87oAmYwZ0o1+4zpA+ZJRNa7M0eYCL2Ts+Csz4kpNYlmhz/aHOKUsw5IgpQxJh4Rt0i3g4ddXLele7S8Qv3vGJ/C7HNHxn2KyYHPtjiQ5OtN9GEcx/AyntJ9/HsBBHmaYoJmr/cijvdZXmeu04f7UGl3v81MEKBgFk39nO3TuYaTbM706/dMlnjeASjHe2M/l6RP1cT8HFxG+xZevM9hJYzdwQ62m80p1xgCjQo5RDsGivVPpH593VwWZw/F+Bqwa+k4FGwuB7FNm8s0rSoWu+K7qmXIe2/X1wFMEDlLyeYglzkYMKXGJIAS1fPsXFwYhVewV/DqvaO3jtt2s/tOgCL78ZP4/memoqqitY5aFeTP19ASW5YVlRa00tEV6Gq/VeE6NqaZArGUH/LSyhBjRwFkYrLFUqnsfjNQ0jIcC9brOzQs6HpBpwu0XPHt93/E5e1vgXq1dVhO1slppx3tBFBOO+20f0d7sLOYNmWxYVXdx59B1R7u9B7Xd78Hl4LbD5/AtKBygZQN0m9o3QREVRnLUj1Vxo+hU7SQ3MlStWorTq2GOxPd9Se0WBldYyFYC0MP447i7oKex2iZxCU6M6U4iKJQoI8orYhCHLSxfbK1RVyMNByhkTN//DHwoXcDTyIqtYu6qTjN2x2mSDNidmHQiBx7FFMB5hF1LMXAKRE2oOZnWlCjMVqUxkxgSu6QXVVugK3NFp3bgzkKPWSPWCpCKSuGUz8AlLpcABhlnETA3vesilJlOB5kG/uo8GJlfqNPw5kLxpI4eDKVRfa2W8loKx2NaTyGvuJcZHNmZ/hrwTBI8A+7CTbYOWRlKBFpKE7fltCh0PxqRMOzbyK1C+oOsN8bACzdS/P+yEobwFTJxzRgXh13CYZBOMIEFQdCZiAlBXKPXkgAZQGgFWcDFHfuAzmY1xL/rfb9Li1BE/W/rWxvVKRyUUgFUpA014scKoz7zdcIGMgUOgsZwyZbi0h9fNzHn0G/GXQYA0Kpp8RE+NxdZmCdc7hUcgxKqTu2xByh34M3wUqZGSg+P5O675HuOaLv4I3ptYwqNOoAbw9QZJ53AYjAtRji7OH8T8cmzwvL436mDz7rrT785mMwRZMRNjNudD9GX7AEL2jcc0cAhHlUWHkNczAwKxhRNI0l7c6DADEQqTSS/Ra6RlEVSjGuJZ9JcTKNEsNDLwSw2zAYETO7YzePUq9kdG8yp3a3sI7z3fXnYL7kPEhuBe6GeO62GbwppaQwNoVYtJcEfi39yY7nwB3Fs9EqbBUHvQ1stGerBAjtwYcQwJ2v04Ad1yYrBbUUFC7Y2pYAZMmKbfa79451MaAn+kBUEmxjZk8h9TUywC8P6lC1NaNUgvSGl9a9UqA/q9QEskt9Qi0FoiuW9T3evPsN+PoOWK4GiuJxCtbdo+nLt8Npp/2HshNAOe200/4B7Gc8fRWmW6EXgN5iefNbEDPax3+1ehusYP4ISEeTGwTm3JdlsQSdfOiHM2RRr4jGW7qGb5wyWu2pGWSgBuWPOcKhsbDfkE1ROAIIutuq536VGSkR6RUZYuMrghTb8zirpWLs/MPh+BDNjhByU8sPrps8xqYJfPgHwlEj+4w5MeEISNKfx0augEgh7ZHHTIgN6IgYZ9jYImmTM5ffIkq+ABNsE+pOmOluOE1bnWFwt8MbsFU4LZbvP7uf1g9cLiAq5sB7xHtO8yZ3EohiRhDg7IYRzafwO5CpLr75D6bHTAlXH4chkGz9NDsYFv2M3fjUN+F5Y9CoafovdBIPVUt7CxBlH0Of+prHfAmn3vpKXfB0rhiEPHaMaTqGeOBYalz1dGGgHP/da1/8mccueiMcMAdRTNpxgC7ZHs1vRGqb/Uj+bRooAdj4VzWYGAFC7q9t/KGYdU0iep/GAgqQyMvfmrbMPnXHRKIJ8yQcINdXOO0YKXAAkjnBHJUz9sKsyVa402AZZw8Wzmt6G8GCAXN2CWFynCfw5CEIQeO9KAkcui2iiuILxUh7meZOnI9oP0WsM3av7dgu03/3x5vnC+2+F+vY14In8Xu37uU56OF1HJuf32DazYNHa16u1fDqNSLjTiFMaR42Hjwokvn9uf3JchJz/pmnOQK1oIM/L4N9Ms+fub+yC6Zmz9cQT6V4TM1rS/z90I/XaLv9O+YPMBhOoWc0r0VRFjzaaG3z+alqT0cdzy+miuKsFW0TY0ts3S6lpNj29CjNp7Pp83h1MxdtVQmg3aFyf9YApi+m0YcYaUylcLIzZ5A17g+V6CufJwxI69huL1irM0i9GplVLFstsNRW1PUdrm++B69vgXKBbgKUY1Wq6Wmj+CLD5rTT/qPaCaCcdtppvywjArBAQehKqO/+E+rTb4HtE55//O/4y18/oPKS2iFcVnBdQWxlXElrPvANWDAwRHSD9AbVglIYl/WKrs2j0h2qLTdVbVNstxeUUnFdC+B6E4LhPLf2AoW4+KhtmEx1v6CuC7J6CjWABORld+tSUdTK3USNG9to2aaOyDbJseEETP+lUFR8IC+PDCzLAi6MpOz7rkdhZR7naDQA1Doio+QAjgplFHJZrbTj7bZZbjU7s6eYyGrQ2EWGd0xs6VGtmbNqlRGsjwqbQG3bRqWS4kJ9VkrWgSSVjJ6lGoY0A65CNBSEoGEr4GNpDkCtFaV4lQK3SFxhvoKoArR4lSFrd1TQ8F03IqorXuUJucm2a23dHHDRm88pr4DDnGLAVuqyAvD6L+4g1FruvUIfqy4dRBVcKUErcDgudvwZKCAoFixZVhrKO0eglgIWQNRnV+idaM9rj+8wW/Uj1YIhNDrK/u5dPG+2Ow5EJftLxcEvNRHfdGgQlDAbO2OQDHAO8HQRsko34SyJA1UDFAFIKR26IBoR6VRlN+4lBSDgcPq0Qfs2MZsceHDWDZGDYKSQQu7kORgR/r8DTiLWj11alicuc6pZ+vjuFE74CsUH4NWtaA9I9j5SKbIi0cTgAYyuH05yKcXTLLyKVk58TYdOpOP2cvOXx1jK9Hfh2ckeTIn4CDNjoZrsiEjv8VPl57oDnwM0HUCAOZMGVI9KYEOYWBFsPVtHuRT01qydRCCqEC4gCsCAs49M42k44tagmF/sTnHdA0hZcmmAS8F0C/C4uBNs1zkq6kRf2vE2F8P2Cmpe9l217VgaMgFtM6gUfRh/S4yfeJqKAku1lNLmbCcr2RtCowZe9W7pqtS7PY+838XHI1keakC4yjQOguyv+btzCg8pTJDa1/4u03r+iqBvAK7xd/HnxAwYB1iWF5vPh4lF46hM7w3bdsPmlXKsX8UYHw6wLMuSaYaXyxMA8kdMz3GxpfRmzwUXgC9swunJ2CEJrpm1iRnXqwPxCADby5rPIBER1rXmM3XbbJ1YlsXSdUrBrY+JtG1bBlGgHb01XK5vUJcFH58/oW0Nt9uGZXmLUsgF3WNttWDLD3/7iyWeerUhEDkIs6DwFT/+7QU/frihrG+wXH6H3/z+v6DQBZCKslz3IE08dLB/6bTTfo12AiinnXbaP7ztcq19w6QoAC0pflmfvkW5fQDKFaKfLLIDz1NX39CQAuplTRHgQWhfdJAr64uEmr8xLApXiJIL1XpkTMToujJHG2PDfSyXaxvb7pHYokAmamhEr9OzGJFWHMuJ0hSJ8501aZ53f06LOIZY6TCZvq8Ym1XavXaMQo92OU1YRzUDVs0ofUZW/RQUl4j7qOLj3VdEmS1SNiKGzlb2kq6PWSdT+/MaHkXV45pCELbCa0lmi4z+XKcIZzhgPR2Uua/GtfnYJqDhDnFmeRXMVBPz43iEK/N1myuhlULJ+okviY+9NZqmL7Ozmow9wgMQSedssAoAjDHx8psRWjQAxB1qB5F8Cnvp4sMM8ShubrTjA8ffeakOBjgIYIWm7Is51hlsHW0d3uWBUTOmYLbXbAIjhDBEk33AJqcN7mzR9P08jmard4CXAVHq1/EAVDrQVl5lHUy3xJdZDu7IgiHkJcnh92OAUJhT9sYpguEhcs+OuGMQ+FyYndn5/QS6dud75fKmbpzxwnl92F2hI077tJexFhlGTlD2FDgd701QVY7LELqNiL+BKXN/q89h0j1QdNf7B8f4UfvHWhfCuLyrLHPs71k/ZVry8zgzkBt/V613MKZGH2P03+fm55FtMioqeQOm9fYR+0Wn/p1FiHE8ymFqJIgSY4vBQLHv+P/YwNHH8yuevcjfe/ZPMGZG23lOx/PviChEuz9nGJqpunRYL43VYfuCAgWDi6X4xHORqGRbj+1NNk6ugBMwHuv69Lkoe5894m3v3fTL5r1Gl4bQflI481Ga93uxtV0JWxOgdGgRbJtCteK77/6AN2+/Q13eArRA4/MxerFsYhrIBIQx/XHaab8OOwGU00477RdnkUZBXl4UvGD9/p8hUGwvn/Dhh09o2w1QQRHFAgatq6eDbMC0MSAoWAXEFl1r7RlAQ+uEuliEknkFxFgo7kZ6aVPLh54j3HCWyLLUjKwpgO5RPVXFOntK46KsRbM4Xzqt5JsyZz/QJPKhCtGGLgR0NcFP3zSa834MExngZJvKDsXmzrIxVwixUdo7SccKA93TXba2mfBsMeZO4ZICdgNUGIyFiMRG9Dw20Hd9cWgD4MBA1YOjNDsu1v9z9BoaKQGy+w58I124gqj6hnHqJeYUio12plDlVFrV4/nZVhOG9fSeFH0soBKowV5wmIhAXg51DwdY3/G0aR4pDAqRzXU8QgA4HMEQSAw2x4qoTNVbR7vd8Miku/ME5LxRIZ+73iIFejokNr/KJEppTtgYtzmFLcYv6fISqSQeGVVF2zoUpq1jUX6Carf7yUto752zAAej3wZwJlAExWM4M+zO+8HBo0inkpx3AaASYVQAEQcq2JP2pvs0qPg5pn7PpOOZLfycDZbE5/yRHXNDQ1/BBZCj2k8wkxz8iHOHk5xMsS+1zAGFu5enawWM/YLdlX69zboVdl2AajDRkP047vehs1K8pLqNK+PeeZcdeGInGeA5JhDF2t4n4GgWF/15Ngu+Rpt6j37vU3Uhnb4z30uYlvgQhA2gfLo6FZDIrn8SR5wd+Og7URddHsdWVRcCjupR++sdjLDH1rugt2Bg7UGaXAMx6YMkEDnaFc8F4gLydSfWUAYDWie9q8kUiKDAYPmM50XoMyHBdHFmZQhYswG3XdC1jRLToWhOGOCJRlnh0FxiKFl/1lqxtYbeejLB5n4LYMfGEQZol0gxsg8keFVCA8yZQgF00mANGpOzJ3grqmhtQ2FFKasFe6Sbxk4+owi9K/724yesG2FpFbcb4XL5Bv/P/9f/G9e3vwPqO4CvUGVsXbI/TnzktNP2dgIop5122i/MfEPi0XdjvBIKXVGv3+LNd3/E1v4KELC9NCgWqDAKKooCogvcRQShgSJ9RruDBxaJ6moRKJVgr7AzUTrATv2HovUNpYSorOlG2CY86OYMUYsJEcPZMI+2I1OEizjDiISoEbBnB5jDxEYllg7q5izKVPUlNpD70/hGsm9WhcfTAmyj5lU64Ok7GhGyAGUcTCAX0/PqGtrtmEwV4FHBx2j7ABCikN6EqB5Bdk1KI9ocwIGmAOdB8M+VgI8MH9u0WyloHKQ2zWnZUki1BLWaCOIO072Cy9AKUGiKD1ppYku7MhaGWAlqHz5jtLgoL4VwYzHhWDLgD8Ch9eHwBFCC3LhTltgOR1gdQGOQMpRaOtERxGQyBkpMM3udISy7KHD4lHYKp8aLAz5eaQjMoOoCvCogUZjHwTsFlxjzwfoZVzk7khSsovDyMh2FM42ouJisATklqfQxd6KqTrDRohND70NJoWS1ioJtYMyfIbjIbOCUIjSGCGATE44SxMFGo3GBMIFgWL+AwA6wQB7fMyNVwe/Zacwlnfr9b87PP7I9C2PcSzCA1c83IuyDmxSVcAI82WuC+LiN2XjXBgMpZvBS8vzH1J5H7b57hea/ByAUwFoAKPP8UevgAbh4O2fdn7ieYFCpr4d5T2GAjdGE4D4YCHNcDQg/R+xhjMvUv35fxJqrur9HANcsCYebRl9mGs7ErMjvsIAhCZgxEYTIK8AZYFiKCfkeTSWYkT0rKdnSOa4z+vU1ACXA5Zhvtv4MgG9mfIRYbYC+AdgCMPFuVZDGc479PrU0TY518TN9PlLW5nGgFCbuIr4mu9BqrIte5adpQ82KZ34fJIC4f44yMWqpUB7rrIg6gGLnNnAv0rwMvOk9nk1lqmq32dmmNDKO1DkaFdQiiBEpdiaObpX5IlXK+h+W5qXWlhAEZrV0yGVZ7Wdd8S//5X9FvX6H6ze/B9e36LqAUUFsqU9HbfzTTjvN7ARQTjvttF+YTZvHcEiUUXhBWd7i8vZ7LD99gy4btu0DrMSkpe3YJtmi8eaQam6cARrMC9dG6M1o16CLbxLhFVQkBViHqKtHrTAxLXzjyACUyQVqX9uRxAbdS7CSQiLCTi6W6lc9Ps/eVteXEIASQJHHAAqiuk5EQq1063BQZHJqnf3gp+uee0/u2bCDJAiAQfcOw9gsIt2z4YDZ8aNjo/JoRAvFdSfs43PViRDJHEyIfcR0Ble8x6Y0KNtgluxtS8uiB+5FOIT2jmjQ0y37XT2FBoRxPgoQxB30BGpGxNIc2slzA7zijV27RWE5oDSE0OwuxcpTDIZTo+582VQhIQjrVHVBMyKu4yj+TW8PF5//BlowV4CrOWZcAS+eTAGkwNlb1ok+Hj3HXsOvoOHI5Bzb+adTR2g4EfBoL4OjDdOdOpcxvhuz+EsNSDMQQx10c/FfzuQA72Er80nsFS8mB10DSAUZ4kRwADWEnc3RlZjhit09c2zfuFZNR9IbnNek+LyzmF9xpzW1eg5fyrslQMwUaB1shtkU43567DDvQQSb0+GIkt/zr7X1a67HoOIAIOI+AjDd73A2SbDXRpTfykw7GOwiyDE3RScx7Rl4A6ax8jmmY6bNEMuXAJSZbRIsu7j/5jSZ3bo4MW/26+dowfE743sDVAoQIwFYxDMu1sCe61QCw+HUO3jSezcA1a9zfn58joGC6bxEJoIcz794BgaQqFAQM6QPtspYFwIA9ypYMb+pOH41QMHHgFywGznbT647Ez90EG4OhkcPZhDTBKzF/fDg2h3cmQGUwQYLAIUhQsnKU1F06ikKH7pcu2ptU7vi+u2ZAxQXgVVfp4mGVlcp7No9sEqCqlDfm6jr0hgwaMBPqRWlrvjDP/0Gy9NvsLz5FioLRDydlaxMcup8Tdf9cOk97bRfmZ0AymmnnfaLs3DGDTFgECpujcHlLeq7irftI+rTe3QBtDu1GKsVGtUFUanDNqndABFhiDIKr2BiNOm4bQ39uePt24tF49X1LNAdAGD0bvTfoN4GsBG09IUuIGYspRiAoha5zdCOi90aqDPKTNqFxmbKNFruI6PzR12kUTijbXVZJs/Fo6jEoBTNG260alRtGEBOWG7kPGJ4uVwQLJRai2/wW27kRAStdXz69JwCrsORjj4Ctq3v3JPx26OFAUxhbI7N+Q2681x14fW+sfZFZQYAZTBWtu0FSps719EGi1RC6k7/Q2NT6ik37unbd5xNMUfMmUbqgV2HVWw6bseH6OPU+54ixjPgFo6RMymUZsq6i6I2RdNgQBXUGvn6I41p2DTGxc7FtBhwQeypYwQuBqCoAyYqPYFEygpD0dfDWbTrCD6FRaRNa6B5iH0AQMFmMIdgRa0L1mVFXRYwEbatHYAxxp5pNDtVvjr0BkAspQl2HxmgSlCYmK8xkiw9yFJfxHVYJJ0aURgY5VU2WABBS2dxHpu5PUeneM9I2DMJZlRpOIv74w0gbXp1d085jHMEFD1tofdgkQ1A4rHNENuDdwNAI3Z9HgMMRBW9t/zcnHLxyAHXCfOJ+3u/7kT7rS09KpbYgPg5ikGAAV6CXJeJR4qSwp3QcObLg/ZoOofZnwSvyPJl2zNzRrqasZKm0vRyD1xZXwyGnrdm55i/Nla2rnXU6XJoEvLNVCcXdQaQbLrQ0GhtyzUyS9nvwKDDGnToOkvdZNTqaZA0tKvm70a/xvW0bRtAriqYBcKaKYhAQWSijdTHvYZU9BaxM+96pF0hQZxNN9fsEoiXUJfqFd5g90XbBAJBKZGyNff3eCaqAm1rCKaNxRsM/GlbQ2st9wnMNZ8d0U4VhZClxhjwyWidLIVSBdJhmj4BuJMzUCZABQrUegGBULhivTyhlAV9c/BRAcgG0g1LFeitYWsv6GUFccH69Ba8vAH4Cd/98V+wXL8HsIJ4BVPFqLk2rn5nXwGGnnbaf3Q7AZTTTjvtF2FHjkFE4tOZoiWZEfXyHVSB5elHtNsnyPaMzaNaXFaQbIACW38BQVArQ7UAWpBiolR9Y+6JAr7bt5zqiJix7+XMuSvM7mjLtAMmECwlorAFsVsXkOuYxCXkZkmn8skmuAFA0HVzxwUeMed0HCylnXadFNTlsWH3aDuTb8bY2zD0NwK8Seq4OytWfjE0HTwy6U4eewPU88MTaHAdEnNADwKm6WTQ646i/4VkEIhrcnh0TU2DxejJUQpy1iuYnDd3qOao3ng72AlD/0K93/t0NA9NA2QgSmwwDZSw1z8fH41zTalY+ZKfm9XzauJahiNiHTZK1I4fnQYsL8fmDyznHmpgx0wR15yfw2Ea6U0mrmvIwREEYJ+vVhkpr8TBJQ0BZo7N/mAKDSZQzLfhqhBbihxAqGVBdW0amoCtGDZiB190JLvMx7UPWVUXwO4pdoYHkULjmjKSO+v76GizTp3qI0r5GZ8r09fS4UUw22aQaG+EadzyAPHm6+DJSM3B1D4/q46UiGAbHY+SfznbQ8el7Jph4EO34aaCWQJpBxZM14yJTWDHCKHUI6gzwBMDDjn7a1y6MwSJcg2L9SjWSBt3zQlAGOyhEcmP+99TKu9YDNNakG2arpXZeEsUABvhoRbH3M+vsDUegiSvfYeO/3h0TF8/KWuT5UvzcGYSGY0Ljb4MRljIRomDY0fm4j5tjHZH9yOOsSAabB9KXApx38TcD+0OIOYKgdDBJVx4Z3NizNGoMhNAWbSD/Jk80maiJLvkczLni0ZdpwF2lVLsOc2RGogJUzNAP68iRIEBew5rrIkd7GL09mzn2J0gAD/T77FqfrHuzDopHJWmmHOcQlNrHvfirMZSFq98ZS0lNQbKtr1A+g2iL+i9IdiBINc6owriC8ryBmV5gonMGmgzyVjltCP/7lehiaed9iuwE0A57bTTfjE2oiKzs2xblFKeLCKOhuXNP6Os3+LpRvj08d/w6eOf8VFfsKjgu/UttL1A2zM+ftoAdLx/u0K12qaOCKCCwgBqQdXukg9WlraUCiJG78VLjVb0foNqx1ItUt96mzYaBUAF4WI+iwq2559AZJE7y+8uKLV4qdLNnYPwhi2XuW0fvVwxoLwYU8CFGysPMc2IABZ3PPrLS+bWW9nhBVwKSjFndYjVWW60iKK1DhFABNhuDctiInnXy9UAlOIVWqTnONRqpUxHWpCgFDJHFrE59sicMzgWLLtNdJg5PZOop1ca6IgSneGYGeV7psczmf5EHost+lp4ystPYUOn2juQJU4jFw1xPsm+KYVt/GDlIo+Ueop254wMByAo5V4yNEUaJzCji2MwBNUCkUjbMY5FbJ7Np7G5L31L5kqwPWLKZNqPuCYOU+bBBxPHWlmyD+DsnsJLRj/ZxYa77JkelmJms43UGVzaIS5sKKpY1xWZ1iYdBkcFYFMSMMzIshKWZXVnwMYIPNKokvHDikKeUgMr9+0FiyZQyOZTn+n65GPJk8M39UN4aKETMtheE+wQzh9heJyq07HC2J1aAx/uARHMDZ4Hbvr3azaDPZIlcMXnbTDDKKLYmLQRHOjUqb9CzFmmOWnH6+hdbd3jwQ4yvPQoKqoJnAEBFAzwNpgXd13gl0kU9yAl4GFr0+i6ALwk73NYf4mCPI0inP+Y4wp1UJBRSk0Qd6w3e2AiAJ3ZamEs69dtlffgUfTnWJ+ir3Z9ALteS5V7rI9lY1fu2gYAXKqXSc+j7Yld+WscVzUEbW09Quj+uNYKwdb7I3skBKOPwJ0g1hbTmSmu71GKV76Lj2epcAAqo9Q6gNYaCitQCMtiDA0EICgAvDS1dDK9pgDxvQXqc39ZVm+joMuGLpvNI7Wf1lxnyUW2FcC6rq4TI1N7PV0RFsjo0/ytsYYQAaggf4YvlSErg6gCKKYTpbGW2ZrSvdw9kbi2E0DiQKsS1qViWRfUWrA1oPVu2icJwMTzaE0AReFlwKXb8w+KTx9+xO32EcAnG3v25xczbjfFhRaU5R2ovAXoCSAPIM0MsMPvmAennXbaCaCcdtppv1CLjGqLjCiCmi9gQK8AEd5++08o6xPK5YqXH/8vNHnGTQSVV5QVWNYrer/h0/MLSlETZENoG1TfLERqjDkrWtScPHeWSy1QP7fVXPU87HAmxBkrZLnfUHJhSt9UC0DsUXvAnR6nIMd1EsBsAnsGEFhE/RiV0l3fIAGDOQdcAXBvJtonFn3sqdvS7NtEKMUiwJ3JgYOI/DrYIKMUqjmdN5RaUEtJ8cBlXUeeOyJxChhh72jv3oJB4f/yiiqaoMaoRiHT60CmKAXDZrcFDNDEo6tkP3EcywKKyKg7fr1lxDUFdtm0YB46hLA2MGEIJsL/LYDK5hRyZLtz+sa4qYJCnFNh9HD/nIims6A9KOn9ri9o0stRH6tOPmatpYM1sxlIGSQMKi0rCXWPmN8nMVgbbdoMp5HYhWVdf+c+Eh9jEp7x9L6y097LAB0CgIn0rAeb9zntKaUrKBxwnto/6UUQxvxyZ9DAhBFlpkyli0jxYFHNwJ0JIR8cb1LABW1Lmefh3IOY+ocwVwaKaPp80QNIkDyAzPeCCkSaXTN59JtcUDKAEvG+mO+ZCfJLeFrVxoqMfUap4UPJwkimT/bdkbVzuF5V3INSztR5RRZKc2zyBpkYEF8ZCn/1szNwEuM69FwAu/dAeDCPx3gHQDSDJEeANN5PBlb2u1+Tr4xzBba7O+dOyypej7TSANCDixIVse7t9dSt6TP+P9OO4THGU18a4YSSySIqICVLUYkKNeWA5sDnLTwFJtiIMa6kCQraHIuJbwCDVaNjQBldNhiIKDn3ZpBngHqDS0g7PTFMzxk/x3SuPaA5X7fdLyID7AOAwgsuFwJzBVNFLatVKOrdWZKW6srEIC5obduBbuO5FX1t1l0QPrSOTN/MAiC9C0g7QITCbMC9Nry8fMTzpw8A31CXBUu9QHwN6AKUesH17TcgXg08ATuAGDsrHMZA74txnWDKab9iOwGU00477RdnO/DEvEzY5pF957QCRFifvo9yG7h9/MnYFfKCUgqYV9TlAoXg5fkjVoKLptmG1oQ/7WyCm28SXbOD1crGEtIhN+3WgDzc8VNNx0VIUfx4sbm19CCvPCCKUiyPPBxA0tAkscuwDZv7lexpEvr6hjhLmtIUZe7dxOZMfzY3xoCitShbyAmiWD46gAB8oBm1niPNW9uMgcKMWozZUIk84ibJzrBIpO4yGx5FtUTV66zMjhd251XsKfFzzGwfJR8bU9Bw/gbdH7v0FiRgFoKW1vAkVHi5zvt56dACWTZOONEKT6fyqkTxM0FkiBSsFDY27wQBglgLPCIqAepNYM9Usje0gcy6AYsSYooWJR4OvIMN8DEmWBUPksCTHlxnzAPsfItw8hSjBOd9D1Fe8TxeIIvCR6WkWWh3Luo7MJIAfsb8ydsLoz0iM7QI5PyFDCcpWAM+F2h3oAmQc8BtABwBWh0gJhdrBA0B10e9OEAaH/eHDolmW+ZjWSrLEUAJoMk5SBOyZHOEMAAJ3c3BqQd93iLZV+PHxpWTPTTfjzOA8GhN0v1rEz6UDKpDB0RaSDiTNg7qQNaXQQB68Jf1e3z9vsPjHDqJNL+2vs6gkU73iq/wB2Bp9Pu+LbTr30dgTQDhD6+RhsYQgAPA8ZUg0/G6sB/PePXRmrcbIx1zU3n//eNnbD0dz6Z4QJgTL/58LAEf2iylAPp8BRLTf7H10PcAcxucVRPr5gB1j328ByunhWcYHfvV1mjytRQaorsrgslBXKBeurp7IEbE0uJYCSJ9XFOsZzRdR8wrMRZhKQWt2f1eqlfG8+szrSrbM6h2tO2GbXsGlQ4qBQsRehA6lcB1wXp9Y8EgzbJFM6439cVh3OmVv0877VdkJ4By2mmn/SLNXQE8fILrAqAAdMF6WbHUJ+hNcPv0V3z863+FXgC6MK7vvgffVvz04S9Aa1A0XFaj9jIWd0ILWDcoFF03bO0GEFCkTBtbY2lsm4K4YKkLQqahNfsua0dU1yhlTcBFpXvxXQEX9lKFLoyomhEzdjFaZrXKJLRYtE2B1h6HGqN90UaIZmndWgo6LGVIUqG/2fUyo9aozNN9bxfOtyKZG6rOxjCQpIuARXKzG5oplj4egJLkv7nwcIhzVGOz3b3K0n7zJlOlAp1qfd4Fx5zNYDnxU2RYg3HikUlnCxiF3VM3QlOl28Y19SQ8nK+941F4V2F7URWLrBZy8T822nabBDY1RVQJRIuzHB7MZ9VDlRtrf5eGkcoUVy9+BPHjDKdLpU0Crt7XCRQQRKNilAN4HIyFWZdiuk4gatOAePG5CqBMscsJMIxv2NhMbcuy3jQ5OKF78OXdOfHQ7hnHM+Pg7Xurc/wpRJxDvyZSTZoDlKGQEM6tR73BA7Bw+r9q/4Iv/8oaBX2gpfEYaNm9rzElJiDN76vukfhIdyIKoPLzQEAefQfswdeq4roMBSV+eyTc5mBUlokKXeXhsSXZAHGdPhdU8fgbDhJJcyFnh7a5AAw731fhAw+8Pb/GIDnlu8kGmOeMpX0MIHW+Jv+UDjZfHJ4oCW2DoZIgO5BsrACmXtFWMWzBUmqO4xeAlrc012QT2LZUzIc98hip+6K9Nn8ktKiiDLMiq8KVV0bXNEzY143xnGIiE2IFoRQFUzVWGtcEmuxZ09H6hhBPL56WmqWwYbolrXWIbhkYMEaYpQAloh/rRAAjuXYeq30NoNX0nwSKavsBBgjGPLHUHMbL8zNu24atbb7m2FqzB05tnVlqhRagOFB2u90gWpyxaO0iD+rcj8MAhUyIdvP7RlDYRMCpXPByM6Fcuj6hrO9Qr+9sj6MA5ja9MmKnnXbasBNAOe20034x9tlH+C5aRIBaXjChAnzFev0WBKA//xVdPuDDp09YV4VSwfXtO0A/QtDRRFAotBJik8/u8EZk0ZLGbcPNYDI6bWsdpZBl8nDQhCfnxSNttazmaCvQxPQpgO4O24iCRaQ/6N1AwVH49T694tBLFI6psVhik1lc6K5wOI/7798JJkaZ1V1EVfLfSe+fh8Ijy+yOiWJEIudmDxZBgCHRx1PUL96bo9tzFDk3lYcool/LLERpf9v7IQrsIc10SCO6uPuJo95FZ4dp/me0M+jtwRLJdjuAYsLFOvoYmrjDnl0QFW/00IZjW2KuHXsiBA/iUzMbxD65l8IdXfsgLg7M37/jd/unaP95e+21LboLBu9gs9EnIRJ6/Nb+eON+MxDNQQeEILRM4Kv9JKNJxe815LVFRaIAMmP+iQOcXWfHe27Tl12On+vIag79nvkwp5DkjEggIMCi3ZH2v/M+mvvOJj0df5g9FXGUOo4++fz1zPN1WiUegHPw9cBSSAZAOh8/1r7Pn/O19+7BkPv3D8DbAQiza6ZpPdw7tkNofABT4+24ZwKg269V4xx699rRolVHpstg6d0bY0oV+so5qHHRD9/TvE0fs1cemM8nJsqxDTaOpfD4WsAwbRwAe5bNXIrb12rOlu763FJm41qDHWeTbA+Y+bjouBd21z8ucrzqewERE1qxilSWqvv88uy6Zh0oI3Uw2DnjmelXF+yYACUFELWgSjKQcg0wBh35g53IS3erAmqV4mqtqEtBKRZQ2pqtn0/LE7isMBdw1j15lGwY/XLaaafNdgIop5122i/CYstNd6/S7l8AWXqKkulEoAJ8wdO73+NyfYuCG/7y5/+Kv/7l3/D+HXC9ML7/45/w6ad/xfOHhq3dICSgGpHtORrFEN0g2hBanIUZlnVTsG0NIoRaMJgf2pFCp7AtymV9svYpQO3ZIrlQ3yR5BQH3Iizfu8KWawXwZbp3bHbjM7aBss3puq4WxRVB2wpCH1RY8vsAUmw1BGND98EchhCRHRHvwibWmBFAZ04QWeFeIUZUJzLa8ShMCWBCHtRCu1OlG3tnD6gcPYN7J3b6qLc12mtpRfbesrgyi2BSVERuuNkFHkOENhyf11yJSM0yRyDSMoaGztRi36g7E2I6dgoGItodVRQmB00etIDiW+54JfLhd89DPRFvwy4Xxl4LsOius8PhpmpeC8E3848dQEwjeV9tZHo9AaRg0Phr6m3/gk9mnx/NLaViprmbM+zIpYNJ6sCWaIz9cNVChDVTi5xzI2J9azhgaKHM/UkT6PmKS7KjPuz79nPOZ2gKJfNE4NpGfn1+QGuTpMs51so42cFxDEbUdOpcA1xoemYJKMHLaYfzHtf1uN0JuO7Of7z4+Dfd9UXc3wHSdrzy9S/YrJ/y2vppKTxz26NqyvwaIUtdi7r49O5LML0rJIgi6rBc3l8+T165kLmtj6ZEvJ9zwsV6g6XXH7DkAAAurP25NfPnWADEM2D8JRCFvP07FoqzvYzRGKApjA3nqTsBWA3WpNhtH6mtiPuSHDwxwVxynY+sxORr5R74jblnAAjy/h3rRQyEIua+ic1KgEcQLLVCVPHTTz/mkevKKWBtGiaRUmTnYAdoY85Lb2jNSsmv1ycUZyAl87OZuGxdVss9BtC3DegNKg31soCKCeSCVygqnjcDpH7z9C3q8gRBAdPi6/j/wAQ47bRfoZ0AymmnnfYLsUnzxP9FE/1/bx5hYgZQARd95YVx+fZf8F254PrmHX742/8PH14+QmkD44L16XdAf3F6LsGU+DuUVt/4dq+uwujSAFU0EYhsIBKUuoC5WiXaECmNdJfeIYW8MsGSm/GFL6i6QHQBkVWZsbKrhLUusEoEHUzV3aBu1y2jhO4QHiTTrwA8IqWQFikG9pmXlxuYCNXrklZvj+gMHABbawDUUpCmzfAcjR6imlbCOQVXm6eL9A5mQuHBQIl2EhTSTBuFDxHhneN+YFlYtR9yACQcndl7G5vUAE6ijeHkRNRRFdhuN3djDAgIAdjsCztYOj+ARXC5PNYkKOWoteIqKEzghR1kG3R3JvLUC6+Go4CSOPgGLw0srnnRbZO+02bx69+BD+bQB7NGvdVQxUMpBVVULl6RSP16G3pgNo8218omEMlz9HSY7KoUDUclHKP9fWt/NzQbiaDrl6iOI86ysHtBdLCZmAiF2BlfI6I/BBkJwlHydmIh9Zb9lbCDp7qpjnnOWcGFzSFNf8vaHGKZMyAwM0WibHWOV7IOousn5ohP90hBCM0cYKQ39e6CzFzAhaGsQA9GFfn/A3iCVcDKNt8PvqXnOEaVoxXaDOSCsexjJ1Bt2AKIlIbem6ULZInqNuZ/gneRfjCPd5zfqn8NXZnBEuvSDvPIv03kaUTutCo8/S6OHmDPWJ/MicYB4Yk1zdYVwMFdje+5AHPrwDyn8r7Vsa64Jk2cfzi8UfFGPDXF2r8uV1BhrximPvaU7yfTyqg4CMh2XottDRlAyDGFp3db+4NNONZtc+a1a/Zlgu3ujHMx0dLCJbW2eqQ5ItZGB0CIrdJNneaf96V0GUBwj3nTE+QgLjnXugh69/WYGL3DUlC4YikLFITn2wta3yxNRTeATDts2wTbtqFGdRquVtWLGbj1XPfiOtt2g6hi6z0BG2OPkKetVQNMFVBtljLUbgYU9Y6oJlYrUAqwrhcsi+uqqYm7MrOnuXWs67tMaa11Ra0Ltm2zOdYVl8sT1tUq+vQueP50A5UVpVZcni5QAL0ZQxYAnp6uEAFubUsw5u3bt/j0YcNff/gJbbM0qFqv6KjoansTXt7h6d1vsFzeA3SBUoV6iuKJoZx22tfbCaCcdtppvxybIloj9WA4DsNZtE/Yvt83qGSaJvXKeKKGpSp+/Ph/ot1ueL694LosqHW1iIx0aLtltJBpcQe6gS3UhB7pK+iQblGwZbmYkyMjQYCYfXPvYqIaaTG2XSlcoRCQEFRb5i4jIlIAoAKmko5eHFydubDLqQbcaQ8HbvaArYyt5HbJBRlL8RK6wZgY5YLn1Jcj1ZyYUXxMKnv71KoGSO9oraEWj+ZNozWuQSaUgqYLmMdbppdHJJwwLi1FZgP9ya8PZyP7Yhcltc2xOZzF+sT7DjRVDIJHPgOK4H3FjLlvApgaF2ORatMXIfQWzrKkww+PXuZv7yDFgzY7+MJlAFijr44R1flv66OUWdDpM2SVgphcaFbd8RHNyw9tg/nYVhLXnLhjtHkXgaZxDTl554HOe8MYCkWjjx1UwmBdiIpXBzKnrBADrFMUO8RsJ8AigbbRrxpza2LADIHJ8WMR64gUyzQ+AQwEY2wWOh59gAmYGE44TXPHAS/dfy/KwgaAot4nKj5eXBAMCBIGpa5LjKk3ZO56HBkJAxTIFZUAPNStGMBkaw0hiNkTPBllugNgMKcdyLLYPB/LwciovIQBCKv/HcLOR1O1sukgQLtdYKbLGBQzRfcn4Ay7WbcfLx338lgqrGJa9/XdADW/T8jFwSfmx5jv+2OH/stcQnxdMO5/BHDk7wa4hvHvATCNPhCvdhUftpQnB4yhO5YaTf197IRHArVcOBlIxmrUXA9EJMe26HQdh2kzp/PMleB671YpygFO8vOLA00ES4m1S2HXQTFAqvUNvW+uuWOaRTZOfi/AStaXyihqxymlgA7X3KWjd0Hro6Ja4UjbK84IKTCNFWQ1nQHqWbU84p6C7swlK+8kcAV7TpfCKNXAomVZUErFtm32PO6KdZUEs7qDX7UAxIS6FPSu2LQhZnGpFdp6pnYyMZZlwScQXl5eADV2LHEFaQW0gvmCWp+wXt6h1CtAFYrQd9o9nU877bQv2AmgnHbaab8Muxc/+PzHsff31DdlpA1c32F9y/in//S/4eXTX/Hn/+P/i5fbhkYd3795C2k3/PDD/4WnS8WyFix1hWhD6xfc2if0foPqMyytIpwwxW17QaTm9N6wLAvW9QmoK0CC3hWtmTBiOA4hRgnPaTavIOi8sbGNXGVz+nS6MibCelnTibk1q/bSe08ByNEbkZYhuL1YpJhd04B9Q2yb3djEEwovCAd221xAt5iQJFs4DQRgKXVQx3s3Ab/eww19TSID4cAneONRe9uyH9J2QB7NxeTsmoOmePUEn7f0UjRxuP1Mu0Mc3LEP549R6niU7h0+3r2uoliXBVLEK0i4I00ObkSUGKP/4Q7oSL3ZR3nH2B5n/LH9j2xcragMh8uddj4wh+6Olw7/niWgaqWedy/syvTi4NDY3AxgRdVZWGoaQwNAcYR0+vv1cY+UkXDgAoAJ6v8r1xSv0BgLu4TX51e0IZzvWU/o73FJQpTVgArrm+LLAXOdHF7yuehl1BNAC3DI25fllGZHOcb+ESXJj7X73PFK5u9/+d6LNSPTeHQIChs4F30YfT2f9/74g1mGTJHpYqmP9AAQ+JLF8UQHGKIzKPJzTUcqJlMFSFCjohnIWE0l2CPRhp7XNN8kwQ7KNk7tMsBhgD/ANHeJ8t+xViVwd0wBJGSKCU3/g47zKZw9IupZhwRUoNZg0jzohgl4Fhc69qVvKnE8GqFK6GJaHoUvqGXBulxQavV7wgAU1QbieGZGSXeFaoN6um2sp40X+4wAgm6sLeVpbGN9CcYJAGdl9G7sE2OZGkBu3A4XmK8MrjQ9a4uDQgaaEDG6FCtFDMbT9S0inWjbjPlSuCJKpQegAsBTaHkCQCmZiZ+enzFSco2x9/z8jNt2gwC4XK8oXPDSAVAFlSue3n2H9fo9LpdvgPoGwIKxtzjttNN+jp0AymmnnfYLsmMU/JFNke7dx+OvAkWFYkFdvwO04O27H9FefoTcPqB1BmnBUt8AELQO1FJhtGJBZVhEp7BHp6x6j8lKbu6kWaQMTLg4UwO0ZOWULuJyA5QpEOJO653zMoMqOjMsDm7t8EH279D84rxhtM26uE4JZRnI2IizR4/Hd3pvO7aFAgYEpFMfQnrzZt1TTu5aPK43UjGijdPREU51mLV3RF6jtGyiH3o4/GdsvO2aM3mYcaDH0220LaKsI136on0DAAEAAElEQVRg/tasqcEDfGJPLUrnwkA4zn70dni/iL8wHKJDFJmmPxQYeiEPHN+ZkTSnDIh/LyCvaYy79PwO+ZwMjtVR7Hf00NALQABj8X2aAQkawFnMPzLHKJyvGI3R49M9QC5CGddKA9Agr0oUwN5c9nf01+NJkg4oDaFm9TUlO4ZG6eMRbd8DAPQznJNZk2KvITHxXiINg3n0hhiQQQGeHNBKdT2hPSiyO/Mrrx/H9WfeYJPNoM8Q6dyn7t2f6/Xjj36ytTPZKn8PYrU73lwaWh9N7flbD36ATKeCjxc7uw1TGo2LeTOXweDxe1BEJ6rYfjjnVB1jXPiK6R9nB5OTPYIxXyKVR6d0o7CRijbWnwAW4HM6WEEB5BATeALCHvdQsIMO7aa4PyY7PNqif5grVOApPs1B0G4Fv/IejBQ/52iQJ4qSpasahmjPZvJUPJ3GDNEasrU6NIzmNgdztEABLSAqk/ZXdTbhGGcu/rye0goN7MSkyWVsn9DFecS6Ir8e0xcbQYrCAC91pPeFDo/vOSwFsgBexWhZn7Bc3oCWq+miUKiQ/Z03zWmn/YrtBFBOO+20/ziWO83JqfONYP6DVoh0NGm4Lr9FKe/w299X/O3P/zt+eul4uTVUqnjz5ntsLz/h9vyMta5GI6aKpVxQSMD0CaoNojd0eYboDcALFMZKaZ2hRFBiMC9gXtD6C4CG1m8GAkBQaIGTzn0DePSMw+GwiBe0IxgLX0aTYjPmLiYNPQQDfjzaKLFhNGcvRQ6TDWFtamwb1/h3lC4m8sK5vmEvS4VCTV/FVC4PQJbmOWwHzF4u2Nuc1WJmACXAnSFESVTG9WBsgHHYGH+uf9L3UCsvyVO/am7wj2CKAUUCMQlYadaW2elIIwAFpAVMFYWrv2bisF02mCRm9IuM49AAZkTYnSOxqgsPr/HoCO8j8WToBHabZj9M4i0YaVIApQN0PJ4BKcametTfM1Cxc5NoP78T/qBRCUpEwTxgi7wNAEgInaq1R2H3WIjZxh3EMY8ihUBdmFIHrgPlqTnxR2gBmSqlnS7YP5qMHLHLT1BHfI7PIEqmZ7yOEkzd8nWCnuSixsSc3yHqIFLHYuO+CUBPISTTOjBf693Ro2O+2I6fa1FGdhx+ON6fZfc8eCuYcva+zZu9ts7PtxCAldAzmRgpr9sEWO3K4Ea77Roti5FRCjyViVFLtXvb523P6l8y6Z8MQIMwQKJZ3ykEq6GDERcAJbsuEM+ANpkuTpdR9W382DXlnRfnmwSLo6oMkYMn7kV8bgzn9J0EMdRTJCemzN6Zt+ozVjVuwbbd0LaO3k3EHdSt5HqCET0BHrCNQ6yddVnQO2HbXqA9nl8zKOpPXbLnYPYXypgLGikxAPV4PlardFMrarFS9IZfGPhSCvnvkRJVCqM160NL/TWgg0oBmCAt2IljesGfw6UYwNKhaK2Z0L2XFwcBt9at5lYtoMKTBtwClBWX63tcnr4BLW8BusAYKD/jfjlxltNOSzsBlNNOO+0/mO2jgY/eYb5iXVYQvwC0olwV739X8fT+N/j4b/87en9Bp4ZegK4FH182FAbWWlFqRVmAlS/o/Ybb7QPQAVLGhTdECd7WLXrV2gYFoVLJXOytvbgXQAAqFITeum2EeaQy7DQNkoES1RsiPQHYtjYF+z0iRmUClDQ/G1vU4poluUHuApVmGzLf3GcJVwc3Lnox0IAsqi/ScbvdMjpW3LEzP8KicugNIi6+SwDRHNGzaO20n/3sJs2+Zx8WZ7VQYCaA5dV/5SyJU1IErd1RFg32xTHaPmaRyObtrlAhCLMBCQ+dQYJp2ACMgrrY2BArWhtAQzrpj87rDhp5SV6OnIVXQZRHDslo//E1BaV+RDp1CGFJxVTzZLJB69+dPcZC++Tkjvcjqpyf3ZUMNXq/sdQNZNrTyx1IIwcx9Eg+H9elgAF3k44PfHzNZzoCleNvm1M04LOHzuHoe4soz0CfpGPHJcCur/c+zOlaAB30fS4GvmXaGA+oj7lYIw73ux0LsPH7Od7P/5inRA+mnTl6EwvlOFb6KBnrUb/TNJ8iNWv8zYZX/myLMYOO8Q6W2N9nAQySMxns1XCiq+thKFGWNxf1kj0U33WxV0PmDqDRAMVUjZEXDKmYuwGg7EASJtMa6TOLb7wHKEgDOPI0KQeowvEPBkmkBoUWzOt9C2eAWIqOOvDzyCwrdAFRxVJX0/5SxcvLC15uNwdZQzvG+qJ7qlv+hOC0a5lYFToY+BKgPxQaE9XXILu3CInD79ZXZxJ5WqMxCoun1FW7z5VyLkZqnT3jOpa6oJYFqoTWBLfbhqjwloCOagZdDKTnfI7OY206agbSSPe0Nb+nmAtqXe2+IMXT9QlNL2i9oCxPKOsbgFYAtr6coMhpp/19dgIop5122i/LXvNr8/3Pb3jVNxklHTSA6htcCmG9XvD84QfI7SO63iDFqq9s3aJCRa0CCxGsggIpuC9gdECAQiscTXFgwvK5qXcIj0oOw8NwdgIIUAM8KKjUU1QuNkeR221sCesIVaA3wag+ElVgzClX6M7hyI08hbaEl9iFCYcC8A2btzBp4ADXCnaKO3REQQGLTHpczjbvMKBASTwlw89vvzJaP7NOMnVmGkJ3JcY2dtIFAFmv6BSl2wuXfnYqDAAGNDaxybiIjezhIJMTAxIHbfy6KP+zO4vNtAnQCieHYlyHnxbO5CBGRGQ7nA7N/sq2xsn9WizFJs49IUzZP+NkGp9PclKkG5GDYYqRJuWXp1MbprQJd7/8349BzHAu7ruLdt8h2vdkaDIkCwemM4BJQNkO7/dF9lM4HUcdFXYwj3zuTNcH5Pdnx9U7cPzWwVHCbvzibT0AG1O/7E+366ms9OLVT5ApHwWl7LUsAEx9AoQmyfj3eG1vAyjadd8r98zM+sCULxj3zv57Y24niJDHmcG9cdK708a018NnE6Cbf8/AEd1d00jHur+uzzEniCb3eQIhQPP1jX5Q/9IM45JP8mhSKZxsBGSf6mF+RvlevXuc6XE+YvTpET6meYwJvpZMFXuOkxBIYIJcyHww/vaVfvZter0vY268ivfu2mv/ZTawsJQ6BGaTCeLr2QRWdK/UZGK3++sHEZDYmO6u3d4fVYCCOXJci5BpPfGEU/+s6Z5EJaExF+17BraEGLZ9Tr20tSjApSDLKkf7/DmfwstTKfR5fNnZMgB87VZrGzEKFzTtIAVKXSC9QnsB1ytKuQKott/I0tCvDsZpp532ip0AymmnnfbLsBk4+RKIgnkTO6Kd4VrFdgUuLGv+RQFowdvf/a+43T7iw49/QecfIO0jrvoEyDNe2g94efkE6IYuN9TKeLpcUJmhugJdPfLesa7WwK4bpHds8mKlb8MxogJQBdMFzBVv17cQeYboM5Q32+tKbIILVCukK7psIHQQLJVHFejCWNeKuiyoi1enUHGmREfr3Q4mHd3FAytfsrdMZNIYJRYltLLMxISqFnXj2MwRu4gfIYQgRQS352fQekVZjc6spMBKkM5QKX5sb1P6c+5cEkCesqFqQoVbj02qb1qZrbICGeDUewA4JjhqJTg5N8lRRUhVLaOdyKsgMJisEpGqYikmghv56KZfY2DQLA47mwlAMixAbeyd7kKdygfNgUgvQQfw4gyIAvGqDiLNxYctdSBEQK3PgcoE09jpCK0dUHP2hkdfASiKRW7ZSnpCByvIwCz2CjYtnRHrQ0CF0LvFMetSUSthAaO6o7gsi/dlR5cNkWIVcsa8AwbtPqv1XshzFv493q/h+DIT1tVKbtayBEyEuiz56RkaiBLPe/OxiEi0i9LafFGfdpoRftMoMnAyHN7uqWfo42w0n4c01xMjBvFgLKSzqBMbQsdKpFFanPPqFeGk+70iglqvHlFeshrQstoBbQxNU6mUAkXBTvg0dV8URPWhyGeUELaPuzZTsi86VHo634SSwAERWcoBACL1jEKvZFKiItNgKRC8LLrqKJk7a3xMVZzM2XZHWO/ny3AW7XN+BBAhwaVwTE2Hwtq5rKuViBcZmjhzqsRkJUuUf57Kork2FVBxd3TQ4WbcMjHzWoszEYz51/oLbtuGtm07LNBhzCwuO0NMA0S2akTMJe8BFUV3Rotn4SXwKqLo7eYskmCITRVYdJQ0jrXN0ums1G/3/rsHcMxxn0veD4B4/uxgWzBXrOu6f9fTUZhXFF5wuVxR2EoRPz09odSCJjds7QW9P/t8tVTIUgxwKbyglAWFF2d/AR+en7Ftz/j0/MGeISUAiupsF3su2LVbOlSUnF4WRsECUUvngVdUstSdK5blydJzmz3bRJvPPbU0Gi8fD1SoFogSSr3gyovreRGWxYCV1jpEjH1TlwXrekVdFkvr0Xn8GUtdYSmsNlbQ0NeqoFIhmxhwxAsUK6BXXK7f4/L0W0ANRCFPgTrBktNO+/l2AiinnXbaL8eOIEraiEDuVSsiakO798cnCJGuoLBqM7y+QaWC2rqlChBBtg3EimV9g23rXkrRhBmXqrZhJ0LRC0Q2NC/zaFzonhv2Qott0Lhm9AsZ1fLoV4i5wks6UmzMg9FRzIs4bEx3P+7EZYnVXYR40paAB8g9oscBWKhHwwQu2meMkqWs6WBmZJmMiRMOQe/dqk4gBPMsvSilK6KijCqc6IBZqNZ0YA46DuOMRot2xyXy/IM+bv2nQLBZ8rpnp2ZExnesgbs5E2kZyFfDSs6pET0GQgMD/t2gyJtIr6UH9Z1miGh3MccpqpuN8TQVOJIGQejrBFsnHHgRtdLZSqYd0i0nXiSisD4tpoirUf69vDbBI72MUheUQlMJU++3vLYAebyNqlCdtXOO/aUP3svRnno7HLH47f2b7IR7R3Kc5xim97LI+5PtIuUiphtCakCVaUmYQxmlk3cDojEP59eHiCex3SOhyWHjHqCIlb+l0Yn2zZnVMxlzAdViTiAXlLI4oGYCoHZvztF0BPKQ0X4Vk9C1z09gxbGf5kkbL4tkuWzENfj4KA0tE2ICxKs1gaf+Hf3sENM0rWM0B/jxKoPB7/O7lzDPp6MzT1khLNIj6PjlANRpsCp2x4h75guWawkdX4t/zEyy+E8wA4FRon26p6b23Z9r/H1knRyvRZ0ZNlfd2V0nBTiPAZIFI+4wjvN5Y+yHrspgMYy5h92wZUoRAUqKUnQSFd6dwK4n7tVYbzDmDFMBU4FQhWKzV2nolsyll+M51lpDc0B9fHZUvgnR2HguzKwmIkqB9dEnUZa75P4i0pgMcPKkPX9WD+h0VBXLcYeD9wjNKU/bKezpQQXby2bjk8DPAL7EwWB4yW3A5v9KFygXNFWAK5bLE0q9gnlB8ETHc3H8edppp32dnQDKaaed9suyx/tme2G3W320I6DDO7FBd9YGEcrKQLngwiXBFdmewYWxXlZsP21o2wtuTdAVKLeG69OKUhcsJNgaQ9pm1XpY0Z3Z0b0SRkTWAxAxzzYTFKxNvhHuKuDQpiAGlQpgTccEYBON4xCYLb5B81K/bBFtq+SydyjTkYmNORMq7PvDGRK01gECuDPqtWa0zkoH95F7r8Fq6GAaOeBdrI3pQDA7f9m6lwLDyk17lJmNa5ydntj8Rm65jbtmfwXLwMErtdMN34Sn39Z/IdgX16AOPKUjcJg/1kZClM/ci90CodPCmf7izrp/vcs2lStVZ+Y8Pg8QWgfGogA6IrXEHFrAqjpZeezeFFYZ4uobfDJ5WgeSiCw6rw54hXSGZfTXjMoyA6UoqDiE0wO4cH0Gna91lL0m2JzLkQsn7sG8s6ucQRExh4SM0k5wcUiNtDMDemK0HiwAewtyQQowD+FlhboQpjlUgoiYF9Q6+t4IDgIo75cd2gOYRJ4Sx3Z91Ad4kKWp71Jlwrm+X6dqqaBazVnkEKG28wRbKYGU6BGNuQJ35myYRCLdL5GHqQ0Y819192NaEc2/Yo5rCJYqTY63pxmxrxkBHkUqigIQr5oVqWDh7BsrZnZM9xaA6SOLEsBjVMZ6VmvdsV9y3L5g+1StqR07UGT03TEt6NHn9gCiOmOi53upI/vacR68FiyfWZR3bvtxbd9rpgwgZE4FS1B1wgd3c0rHZ4jJmSKjiotGGqC6CPQO5OFsa6QE8l0J42E2B0NsVkAy9JRKqQ5Edwh6AvrMBVw4WUjjOIqtbcYoIUUpjGUxlouB8APc2G8u5vbFem9/29x3QXAHkIz9BdfkcR0tF5W1NYdgOmaxFsXYCFoTDyaQgUjEzqSxNeCnTx/BpeDy9OT3IDLYIqIpfC7OKKy1GrOMCl6aoq4Lrk/foCxXMF+sDcc5doIop532s+wEUE477bT/IPZg0/mzvhtRqILCKy4rUN4oWlnwsj1D2wf89PFHlPoN3r5fUZ4rVBqaNjRRkCgKryDqULV0CYamhggE2NoNoIZaLyYISgLRGxQdhRdABYWAW29QaYA0i26DUSlU/sdmDVF5Q00UNiPUqugipq7CcBAFkLmk8RRxtM2enUnAMKqxp2hkueM5xWQ4hYXZsQR1QMhFNDE29wOw2CMSM5ylLkraVSdBQvtOsnkgHpkMMCU0Pnyz3zYA6hR8SgcAQR/IKGO8pNikg5wtgEgt0OK6reQb3/hutDuOE9cZv6MyBjIvXzXKExvbo/fbIB5ExPUAwuwsvJfjyxQsi+hbhTGpCogXF6r1VIZMJ6J09EHkVVtsDAovGEyl0LlpMQIGqoW4ITzaqmQihg5EkE3JyXGdtEXmtufv/bUVBxvEUQAKx0QBIZq6Z5ofdOQo+HHJy/u6cCUpg31uUQJgMY4j+nzUtsgjEh57+XDHMgEKwxTE04dmJ1V1OHV2vWMLZmccxyCf71FdJk59uz1PjnB8eQI+0vHt+dojhxwTSKXeuEj/MfCko7Wo8kLuc4nPfXstyq9G9a5oqwF7fq1x4SAwizmVCKbgF7y2B8BTWPE0HbM9gDJ/50vASaQ57YC9+W9+3IZ0YkHT9cQ571ktYaICyNBkIaYERLabMQ1M4FsS/ArAKa5vBqFGytAeKFE4O89T3OL7CS6I5rXFOjTufWSp4wB8ArCJ80X/l1J8rg/gTVRAQiY4PjFNEriB67/M/Zk9JwA6RMnAdLFnkvQOqGK9XPy52UFi1cu4OKATrI2cj4LWmgNWglqrp+/EMwq4Xz0+Z95Kse9Z1TZLo7ltDZ7hg2WxQENgf/YsmJ89seZYv269WaUeJgd3FtR6gSqwbZY6hVz/hqaKdLu+xXGs28sznm8f8OH5b3h6+x68XLHhCU/v3uK73/wBy+UtUBacdtpp/+N2AiinnXbaL9Po1X+88srnD0buJJJv7mpZQcsVDEW/vEMH0NozmF2fon6C9hu0GYNA1LQg1KNasYmexQdlZjvA90Ta/RUGSNwpsg0itCUzhXgFgaFcoVIhJLBQNzwFITbasZF29kU4hSmQtwcyKKLJMPCAlCFqlHtWQe/DmTTncx95t803Azyi7RF1G/99bTQ4PzN+piSNOXDuznI4ChF5jHQPhZVzjaOQO7zx2744bWIRzrVCyaEIPggKqkcoabQ1rns00C0vIBJTYNF9YiiPq4sqFkCUHS3jy3c0fh3/exQd9z4AwdNOijNIgilUQMw7FkSmxzj4NVJMqs9RK/drOsFxXppOOw3KAdsJ+rqPzL575jkxHfMhOJQMl/nfx8/tnebX3gPIgTDvYgRoFQIRjPkePY6ptTQQr3H0+Cvny938CGbO3LbhaN7Nnd3HNAFFEEElqugoWm8OysFBEMrqTMZUCgdeci2YHfyd0x1gFQawkz+uk8OsgJIljREbiKIGGGUFLUzrCB2G1AEK5nnM43wBFD1eH14DTwDcCek+TBHT1+bHrnk7UMubN86TaX+vWIKg80Hx6pIXqY6llDEfZ9DnS4gP9iDKfNw4NnIOaPa1fdEBIaXDnB8ND7w2wJNRJUx3n98xWOZ5M8/x47X47WWix7uVProyxyNA3GCjWGqnOnAT7BdbO0vh1OgaQrCjvHHcp6F9Yv3lQtRfvVGgw7/GPW+sG0kAxRFQZBrixDgZDzHkd7sYsy9AudCCaV4y2p9oU/DAn7N+jVpMbLj1hq1tuN1uWC5iLNi6oNQrLpc3QHHGzFfMsdNOO+3zdgIop5122q/YZkBhZhjYv5f6Fku54PLP79Cef8SnPz/hw8f/E7dPDZflHcA3kFeaERG89A3bJrh1xRo+DxkgQwUgsY1Uax20CAo7gELq4nNW7tba1CF6s80uGOAnE3Uti52PgK4395/Zo8CWVuMBfEgPx9w1C5yGn1F530ByOtmhB1Oy2g5xOFSSzn+tNdCTjKRWrrl5NSq3gQWycxbDQY0oNvtbrsWhBJWjBzaZbxKpi+XRUwHY9CUAi9yKR06ZCMqakVDNTWw4Kk6Bdt45eaqPlZa0PPtKXuoRQb02kEPZxFwZhGP5TpWoEOOpShTaJfbd3lpqq5hoYXz/4EwkCDBSmmbRzEgjIrKoaikFpaxWwYKuiAgplajoMlIh7BotakvhCKXT3EzLRmwzDhXUwruWBetGXMCQfQ4oIYURA0gBDuDJznmYw9A2x4xpYjdPMBsiHWQPjFh/UuSCzS0Mx3Fuc/7D+mNZwtkicC0I1sfc7nlUHrjn09GHUxNWSqRaBKtjD1DMjptGH/lc2Nptp78zouWwlDqfp8EuKq4xIjMDQSWZFRyVS45X4P0662YEa0SSeWAOe3GAF0zoHS6gag55ljxnE29OMHeGmvxPUVd7UL/PX/FgZ9YFP/rMfN/9PLR8B5gMB/3xmmMvvyYm+/qJj4yU/bmDmeSfpZEaM8AKpLP/8Pg02Fk6CeMCSBClZ6oQdtogxGTsrAe2Y5MkA8WYMHUS1Q4wNq6vT1pf0QYSY9dMHZHdtmd6HdZQ7QlKENn6HOmZDEIpFetysXno1cm4GOgQz0ERoHdB692Fdiuu1wWtby7WKp6quPwMEMVXP66u81VMe0o6tq3troSJUbhCiGCP4WDvzdfN9t1bBy3VnlBeGrnUFZ+ef8DLywvW9QouJQEaw06NwdJFbO8ARWs3MBHevn2L9fKEur7B9d0f8PT0HYAn2Dw+gMSnnXba32UngHLaaaf9im127GedAwctnF1BVFCqYH3zPZpuVo5Q/gqggItAaYPAKLz23YLeN4h2LCt7RYAVqs0q61DFDNiIdDw/b1gWwro4K0ErVKxkItQizyyWAw74BlSmEolOJxcvHhLpNhbFdgfewYwMdqpaJRZ3yEuxaDYTAWJR5xLRwnDYIuKYOfUjyhv6JALyjXg4EqarYnoSEUmzvmJgRNV8cxy08bHJtuN1bSjkPafdMBBF9qWVYXZ9EPZjMkOoo0uUwHXHMTbxUyQwoqeRv89swIlqOOnHaKJXoAldEQxmDDA5UQEghEiAn6d39WordYpWThYR9PgzARTOiCSRUdZLXVGLVXSyCgsOdFAwQcY4BYjRxWjwmR6jim27ofeG1ht6Nw2M6ilR6dCRgpVRChzEGSyOGK8sp63i7gIhxINbS3RxuqaowkETUDT0OVpvCSpxgncwp/4RiyXG2XswhGEjBS6AHkSbJ1Bnp62R8yLAMeS5CeP7D0UxAa9mMlgd+TcB3TWE4oaM1Jvepwoxu+twpzKOC9OIEBnf12l+xTWIj0Gy0bJXkEDoAKniEqdKUnO/qmaqVbAMXGvWXEJmSw9xsUub+uOeumNNiKUFJaARPzOAROE0UrZt7rMco6mvot0GSsz3+nAgBxPIqnphYlnE9RcHU/edFj1r3w3Qw5ZY+zvA6yR/kKU8HYG22aLvpEd9K0VhB/fimpJFZv/eWkPvA0CJ1BvotCZPpa9nMEe6xCQAM1wMnCbwu7t+03yPUI4TVK1EvbediQ2sVh3zJz49jS/pAN+ifwa4GIKqiibN1t1Yeyl+2VouscaQrzEBIKKDUJx1UrDSCnhKVICXy2IpsUcGWt75KtlTdhwTiTbu1YJaVzAv6F7NrDWrvsPVAgmqln4jHYgSyAYKObvPn4MhHmspP8EeZBtTsUeGMQULCLY+Aozebe5axbLoX3EdmAtqsefB0/U9lvoEc/dccy0fNa/Dw6eddtrn7QRQTjvttF+pzZuGWcciqLkKEEOpAmjgQri8+z2UCHW54qcfO4AKlIj0ClQciOCKrSkUHevqJRXrBSo3j6pFBQCrhNK74MOHH/Hm6YpariilgkigylAXhrPokrjj5tErF7c0p9mADZER7e5NLNUH3aP1seWfKc4NrBMlGwUmk2HpPOHcKIzhAZAJ4kpsSJGb+ThGXFcCU6QgLcjCrxqlZ2MDHRth2yyqSjotoVHQveyvMlDIrrEU9ei8f9adzmRVkOm7CBO4SW7SgxQ9TwFz9gc7gDPCOkcOPWiu41umcYMh+VKXe2c5WQhT/FEFvSua6qh6s5uf1sZkU7jjoO7EWL8AhIpSFlwub7BUA1BG4Jk8ammOOXzuDF95OPbhgGzbC3rvXh7ZmTy1TI7b7EFS6t4cN+EJoGRLbM42UXdW5563TxYVsA4gYmZsbNsNBEtdUXfWwHuFlZGagrvXaRokG+PBSAr2xwD8JpDB55+ImA7DNM+JyCuOvO4UH9knySxRcxBrre5YB6A5ysXeH8t/x9/9/jOPzNYcddFLZ0e58ZwKMH2HiVHLgy3i5JjHv2N9ADBVIxJnOnj/Oxgx90s42np4bf4BweZEACJ+rJHyMlg3s5aJOfTkmjyA5zxhN1dTQNRKs9taGse36w9Q+JElgUpinRpso7aNkr8xXxYXdk4dksPxChcIBLftNq6JPf1kcvJLtfWIidB7x23bdmuOOGOJibEsS+qVkK/dceJkCCrAHEBuGfMwymRzAWGIRee4xxpFVi69c8/HaJ4zcA+1nNJIZSUOUGGsRwlEwe7XrW3Ip5aV8ElG45yq448+mOh5AxPA1J2xWVFxhciGl9tH73XC5XIBwGg9KurwBNKR3w86qjkxu05UAeGCWlfUsmLrz2i9Y9tuWNYLllIzmHG7NRDY2SqWDtpb6KE4+q8OjpQKLitqtSo5W+sOwtFIWaIh4r61DczA9XqB9JvrpChqZSzrCipX1PqEN0/fgJe3gC5IAMX7DAkgnkDKaaf9XDsBlNNOO+0030SPjUTEQWOjWwBeQEvF+oZRlncQAdrtr3h5foG2F0AJCwhUKpZyQVUAaF69oqLQBdfL1Z3BDVBOholtik1ccduaO/ME6RYl7K1j4QLzmQghHxp53MM401psQ2nieeZ8CGiqRBIRKHOejB1hDA5ztiwFQCw/G+Hc9OnviPTav2+3G5i705tNqM7o29GXAMXGHgRlMcdjHgLfCWuOhzumU9UKVSvkW9jSniAEkEVJe7drZadLEwHqjnwpzsyxQJ2NNgEkDp65Az1XHylUkekTOrFX0GGisDq6ctqEhjsZwIkBBs4BIC/q6iWCDYDS6fth4syHWQsgTmZpRsU39cwrCi0otLp4bE+HEhoFfWUAPz52kb4U++hgQKh6id8jYDIGysd3QSm6ey0d2ATLaPqel5d+5XhHC8dc042KfiJYJRxGzIkBLkVXD8d8ZhqBLHpdlprnHiQYV2bQw1gc/+2vqR9bEeLB99dyBwjAtYTiu+FA5lcp0Ly7Yw3ixf15ogLWvRHYBYJnJsCjo8ygBDzV43ise92MR2eMii4uQvuwxXGqGGHsQYC459V9ciLAxVZnT34GT0QGG0kAq6oWQE+Aqw6q2l3sosoE1DJKcUcll2AHHdP0Rtvtd58Ee1U0wWXx9Jf5WqO9oYEyMyMCPGutDQC2GAslWWrB/Ilr3CGFSICLYM+UGZyLeSo62pZALJnweflM2tBrFuBqrTUBnGAq3rYbUueljBLqjHg+xHN3zF27B7vpcfUOgYA4QHIf6+meGkSyBzNNYWk7/YbtttmxANR6g1W3qoOtlNeuHiRQCBGIxZmMxtS5rsUDC5Ymq2LjWUuZUpYIl+UNal1Q64JPL5+cPRZrqukJMTNqXbD458SBKZEAk6yfSl1R6xOeX25oW3N2lAGF27Zh256xtWcQX5wF6s+7XkGyAHTBSOE5dFBOntNOO+1r7QRQTjvttF+5fcaBCwcLhNAy4foGQMG6fgNow8vzBaIfoR0orCgU2hYrgOpOb4Wq5WirAs0OChUT3oiNlCrQm6CWASCEmCPYnHBRS2WgCENTiDk67TwiTKV4qVPYOfJKRwQ8q35obFoHW+Lo9MV72TcHp8L0UWzTVkpQnUMjJY4FqBYPvpEzRo7gQZyPdxvaAAHGsNn3TNjWwKWht6KABB1foyXjXFGGVjVfDSfb2jhKB2cVHh1OXpTy3feBxnDk38c+RIyBM3ZmzVjFvj/HMafxkAFWsEdhmYqJJ6KYXo4yyMsda6QMaYj/zmPvxwsQiCOM633iTsnwoXdevl1LMjsOrVadhmrPQ4no8f3GPcbosQ3wJOaCvZaOFBi0O6YBoNbPlKchJdftmNgQ02llAgm/2vS18Xvw0bifplbu5keyaF45HtHhOkcj5vtz2OjrMT/HsV6zR0DNncjuq18GZl2YL4m47gCUaQ2aPzT6aY6YI8GTSEHK703r1v21Uf4O5/tYLeYuTehR26c2JMPowfqpD9oyALf9d5PFEmKwcU8e+vE4Zwag7deGKeVy+vyjts1r1d9t3ocJKvuY9W6ARTCCwOwpZa+ImTqoBC95HRosBoTRq30Len39MPaYMxhhNEDprp3i35vT9nbXoB5e8eeN3UMlAdv4jKVKjcpQRKZXVutqwNLzJ9eLmuYXTDfIKggZ2GXHG0zD0K+Kz0S7TPOKPDDQ0NoN2/aCUosBn+JlpcUrtVEAxlMfnZjJaaf93XYCKKeddtppabT7HS5buPlAReELytJxfU8o9QppH/Gxv2Brz7i1hqUq1pVR+QIAuL1sEGFoJ6zLxSJOXM05lw729I2lWlrMtinWZbUc77Kitw7VDUCDoqM1TVo00wJyMVTyCjKFCezOVO9kbAqCAxoTYEEj/z3Aky4dILbqOyKHTaomSGIbQEEIoNqGvzs9GeAmYKqodbGNn2u0qNrGGGLiea29eFsAE4fx43nut4n/FaA0EFqWCLZqRcaWURU0q3CJ3gNUmKvLWHnnwlH5QQA0c7o8pyaK0EbE3TbtDeIglNnQaUA6eHuHVROAsc/1PjuC7gh5uodtpOdo76OUjYjGB1NkaosYcMJgY9x0A5CUO0RMf0fQnV00OZzwz0WD84iAkqKQQtmqjwDI/j7eG0BUEXocse6y+U2zF6Bl9vK9WVI7NvVfYjYIRgqa3wOkgHZPS7h37tflCfQg6krgXQnhoWUbJV8fMTk+Z68764+9xK+zu94gv2bQ9P4AA/5nWTh3878JX3+OACasjC5A/EopZTcD86z/Qqh6BqSo9yFaSy6G6n2dwrmyB120d8xASZnAhEwbIli6H0wTA7A2jPSs0e5H4JRE27MNBwBF/Iec+SGjrO9YyzQd/M/1Z3EB19m5D7AvSpPHeWP925d6RrZpME+8TLYShAQsDH18O3/WDDDVrPADAbra86w311GqFWArJW6A76ucJBt7B0VFGZANBQssgCBZXSeykYgBfvU2G30foriAAzusqJiBwZnZAox7YIi/Eth1ukyXSzqgSrheryh1yZSvwguu1zcAhvaJiJoou49ZKQxRY4uYZsmC1gMItfMULrisb0Bcks1ExHh6uoKLgrjj9pdP+OnD3/DDD38FMeF7/g36ZilXvQGsFeBHDJQTQTnttL/XTgDltNNOOw0AQI99nXzZHBdzgwuI36CuNzy9/R227QdIf0G//YguHa0BVENoMSJVHYXFqwgsEGVIJziRHLVcIRSaJaYXQryASwOXZiwOKDQqY4DApWZQicg2sCBKx0o0oQF/JaLR6sCBRelnNkA62DN44g6NuB6LRfDV0zysLcqU4peiNxD19M+H8zQi/8khCNQh0lg0qMeWdgO4zgarCehqN8jHQZ3Un1GFiNGiQZw59lCTqk1gIzfRinnA92wK6599JDw21RGJfAVA8XPOUd1BM+eYUqnjQO4UvOZ76xHI8jaQO14dAiUrea0FYCF0eTEQCB0P5/QjBoOO2U00otrT0E3HCqfyHjQYfUTzC8loUI+MDwAlnJSARsZ37ts7Q5ujQXO/3F3XfH2ZorJvt8wf+jsBj89F75Mh4P36eLA/e/T8ZUBpHhlBnxn6Q7sz48vA1KPTyQBMgqXxlc6WzZkBVDBRgh/Hz8WVzWXfw4GeRWRN/yLKZAsgPKbXdH/MqTZ0OE9W/0mGhqUFCWDaHKNhd0yPaNfdNURrDxWWAqRIoMLZJvF3AjRxvd7GAEI6d4Q+SIxrpB0BI21JdaSCzeOT4r8Tu+L+PtXpkuJ+is/CUcVQ6b4HJ3dj6OspB0jt19ldVyeXECLXpyqgu1Sh/VpkTQih1RBPNnBTk53jYrtWvgapNgzFzODai8Q6k5QphY1jzQmAQuFAHfmYENkzxcvCBygSc3RmB+WYebrStjXcbtsAwXeX7FouXIDod8S9ZoLqBAOfugAvLy8AjOHa+oYC0wOz/hcPxhg4L74uqIQIegjXz5WATgDltNP+XjsBlNNOO+20g+nu78PG0/gd4PKESoJafo+XT/+Gvn3C9lLRmuBGHUReUUQoo0+NOyoY63VF70Fh9jSTWkxvRMSD6QwuF3BpKHUDwQT9VBrCEVUKJ94ZAqRe0tc2R5wVTQaoYi6+2oaNFAyrnACEQ7wvZTk7NCmKCHaniILEYnnXvSVVOsoZM7sOgW9emdSipbEJnZ2T3JAjKxCA4ZtRABAX1htRahV1sUOFVcwhc4gkIs4E5oqoLjFKAsvd2ALh6FsPi4c4753jA318fBtBXT+KyNo4z+fh3MBLf1xJxvpCvUzp6BtAQCIg6ui9ma8jxhwiAnp/9mu71+WYnZlH0ci8fgrZiHls0i3Nl6waxF2jc76p6yEMaINTl8E9lcO5Y1QU4ajcO68HB1eODm6kCcVpFCOFy+ZeCtnOANGDGZGpHJ8BPe7e0X1bDJQidwzv2Ri7T6czPF3j9IkQA737Hg+Wwv7AQwB51765Dbv2qvdXOLwPUkce3hPjnAbkOkDxStpJNC/HdwITjmkvoVNizDBLe9DpmDOIMjrER9z1UgIoCRBlpDxisFv8e3luiRSSx4ykYC7NKTgB5BzTTGYGyq6t8RkM5kuVik62xg0GH00OuDHp4hiRuqkwtssscpzzaQeAZiftXgvR7AA7yctjO/L3yhhOwshuopJ6LlBNsJi95HXh+lBfJzsVVqUrnkfKkXJj60mmNSb4NFJehvX8d+iulGAUUgjD+n2mk4aOrx2cTEETXrZcxpJ9ZAzPYDDGUGoCKMF42rYNHz5+yGVuHrMABrnU6Rrg946lwVq7F/S+4fn5hnW9oJSCbXu26lvEUDVNrlqLpc9OwJMqA2pV/RI0uVv7x2j+fDtBmNN+nXYCKKeddtppD2x2yYYs6OQEawH4DVD+gPffPeN6eYt/kxfcXv6Kn376VyzfLViWCl4E7M5Bby/otxuqV1EoVEAcGzQGFXciqEF1g/QbFAuACtFugAKMoWJVImyjB+roKkCDbawzCmiCoFYS2DZt1SNjSgLmgmUhdLW89NbVdPrL2HSbvgqsskI1p7SU4o4IoHCq9rYBIjD5FgW0o/dPkF6gxSrFqCp66yhs2h21WGQtxR8JqEsBlCHFNqmtb7guF9sIYjEnQhjQDtJIyfFqRth8cCQZJea8W0pOjKi13Zg3u9ojU1A2JUofRJ9baw+rpNgMGbotEb3nKB05uT+93VzO0L71cA5qMFnC+Z5EgNFdhPcFHRsEL0CL3Xy/azOAdCLyEAi/VdGzCcPpKhOYtPsSxj+Nbh9CqoMlk05YOmN+nQSwV016be+dQErq0ChqLc6yQjo1eqgcc+y7rW9gluEQZeRfrCxyROiDgUA+deFiwzB/rrg4pGZVmhkMo+GP+FwR71MFvGTrADyUFDsfVE2fZgZ4HGpM9gCXUU54FkrdRb1RssT5XWfu0puMxRazKZo9AxFQL21NrmTk8zjAjtbaQzwpHNUA0CRTWjpaC+d0OLWDhcVQNie2gMCqUBYXVPU0FWbwElVxyO7B8LDdeDr2cS5I7xBP62FnEQRjj4EEKJnIStOK4PZyMwBFNfs/hGUp+gbuqiuSRMfR3gnEiHsvfgKMthEwIeuYc6VU07uI9YoNAOrJarG+5MJ5zfO1xvV36aalIgeQx0vpElkp8iMjhIiwLCvURbcpQQJB7y3FiomNJWGaVzG2igJG5RUigme1+29ZVpRaJ/bNXOIb6NM6x+ViJeeJARQghNGtBVC2zi5lGW22J5FVaENHaKdY9R9PfZHiYLyV+iVP4xMvRdy7tbVWBoJtwiYYa88Rex1+S3WI9REIEHh5b9crYYaiWypo7ygOGm/b5utRwVpWCIDt5cX6A8HQZO8HO9bzyzN6VyylWuonTBOm9w0//fgJrW0opeBPf/oTSlmx9Y6tWxWiy7vfoFzeISrVfdl+Dohygien/XrtBFBOO+2008I+sx/Yx+ojilMAuqKu34C04XL5DtIbXvADRDz/n9idPqD3F9twSUOUI6Sg1ZJtmInm9JACA0sMVCCvVGCRMR5RtIjOIijOHkeWPiJ2QEZy04lhTmYG1MtL0mDGROQ8AtaRImDlKY3JIu5gxL4rNtuRxx4pM+moiXsYHuk7UrnJD8BKriGCbEd+ntR0VBzxmPkNM4MiHHEk0PJgXOcI+fxGRDgzOj6/9Yh9Escbr4dTPp/D2hpMlfjso2o32I3D3dk0PDbZX5/CXnt0OFWMqjjTdYYDPTE35k/pK2BRnDDZPRPrhvK6I0WMpjE5nmFEZsMBdB5PRtqjnKj5rwYIfGmrrz4/LdAbpbXZwR4r0YyI0AflPZkBARAOMAiPxiivDglc7hkG9t28J7EfzfjuPPsc1kEADqnpAzKgNO616fPz7+lA2Vc55xRARvD9UDkHgskhSLUZjd9jnIbzfzhdMKpc30Omz9rcQIJVxDR0dhh5xWADnczBlpxHA4igAWLEwoR70CT7d5pXGt+JdUIffy9ZX9KTTRJzJUvwzkBQAFrZ6TAm4Dx2E5tnz+hBLFFjDtBhJP1+yMo58NS6B1WyHrKF4P0f89PbGX1roOr+CRd9zDmNNcGkBJt0zLudCC8MiGI/dpQJZtensuPN4PFYl2wNckCHIuWGxn1IPv9JE9iIFmK6u4zx0yA6wAvyNBz2tJlY68Y9O8bEzuX3DpH1dQIp03dg3xOFgX/TmAyW42DK2PMqqlTNY0RjPvr54lgGnKmBwLCVrxRG64LnZwNQVBXX6xWijNvWIGKfKcuaDJcvm56YyGmnfaWdAMppp5122lfaHMc1YwArUL8DU8U3333Aur4FgfFy+wtebs9496ag1oJ1LRDp6K1ha59Q2BT6Q9hNBRCKkpnm0BEqmFYQdRA7jbz03ARysSiZIjZZnh/uG2yLyUk6pcRIB2R28pgW35TFdbmTAcvNJjIQpExBLHNCO7ZmqUWFYhPeQRnG909KRD2NpdC7ejusdHPvXkrYP5uuSFQgVfGovI2CFWSO7wynn1F21zi39RW841WzTfJInQEm55rII8R7hxve8tzU7zRp9jY24j+vXa+09Os+6WyA/WvTBp7gABwBrhGgCmcPhA1wxgR6+VB5ZJ8OZhHVCah4cBfNbRFnQMQ8jjQA5pJsjmAFBTuDHypfuoeMoUOh6aa70wN3ikQTbAjAMa4h2jUAg4fIlM3jCVjINoo5RuF4hkNOhMEGmltN8Coa4dx5NQ37F3rT/BxSg2i0fd+u+N5E6Zf5WgyEizkgUY4X4fwBvQ8AI/ohhF7v2z6DGZQsgN67lXtVZKWSEoAW2zoHCiFj195RztK94YTXat8lZiyfATFTAHsqwd49BcT6toOYUVAmQMFnyzRGGpP4FcvUGnKdF0fcVA0kTiaXs/4otVxeqdSzO9W4z6Tb+tdbz5LJweTgV8DXAK3mezPHCQM4ISYUXgYoFs8EZjBVEFkfdWl4fn5x5opdF9Oj+25vy7I446OalpUDBeyAvDj4UMnmuihcEyRYLTO7ZQiN348Fe8qqMS5b29Dahi4Nl8vF21xRuPp4DNDIAGBPN4ybxl+Dr4UgY9swF/Tehr6NQyTWH8a0FLG03Hgec7H7jgCsteLpesXl+oQff/qArgoqnG0Q75fCawKivgT6dRowcrlUPL/8iL/85c9o7RmlEriueP74gj//24+4Pr3HUkM49u9QBj7ttNM+ayeActppp532RbuP7O523SgAXVAuv8GqhHe94ce/vWDbmmt5MBS2KVQCbu0TarVyxEUJQIFqgZJAYBVmjOERVOIKkgLl7tR+2wAG3TckIFRhaT7OJw/ntWtDVKwRJZBMJSRpuLUJGojljyeD485G5QjxjSEzufPDFu3PCPeInO61AQTEBaxiFHUd0e1wsi0SGdUw5kg0g8grr2SE3dKCDEDZj5l+LVIRlAM3wWMnbRZlfKQxkq/NzJOHDJMR8XvoDOZL84R71O7X3zraUa8gnH910M4bC1UO/OvgmA8GhIJcZ3KM6eyQEqLbvfISD2jucXdoCjNaVFfGv5ESt4NpEVF4fkRPH0BNRIppwo5C3HkWQmZnYc1jodP4fI6IE8yxcEI1+tbvzZj/A0AhByTHv8cc2bMUUtxSkekTBiSMz37e198zTGbGGHtqRDBE4icqzBAh+yn78jP3knqE3QZ/AswmoCdYZpiYJbu+hAEpoVcyp8LExMmSuXfn1wRPRC11J9YVYgYLQxhgEUiAejlRA0T8/DWGiYqzZeQAuhzBpN1I7Jhas9jscczGfWZ/dOku5O2AF0kCNY/6IdgqdwCKp6lYatgEUOgYa6YQNrWUrd4bWmu5Dkda2ZfMxm7/2QQZMeZcrP9QX98jzQozSzH6FHfLYcyTSK9sraH1lnPeUvUccC3FU5+OLDbXFlMy9qjC2SsuIOt6QskE8uOCTNeF/cfudwNvg23SvaLTsiwO9Aha71AASzWwJJ7fxGRVi6KKkwaIbPdw7x23raG1DYBatbrKeLk1vNwEt0Z4uzxhvb4FSoVTvGJWTVd72mmn/b12AiinnXbaaZ+1V8CTcCxEAa0gXFDW34BoQWXgw4d/hd4+Wm51DSV8z4PunwDuKAoDQ9QjwdKh6P4xdQChAFQtF1sLTCWg+HtOzZ2KyqRgqSKF8IRbMkasUrEdIxycOZBoDJGO0D0ARlQ8Nr6ZM948Ep2ghm2EeQJQzHkTK6srQcu3zxeyHHNjMdhnu4QeBGGpFVb+2KN8Hn02bZJRXDocH0Y5DNdwVsK7/Bzl3U9if6pvXI+z4RXHaOfTYzh6eehXHLL55fsodJzn/vWfv/sNJ/tRueSR2gJYP2fJVT22XXffC8fHHPN9tJt8QgSgJTrAk8fOL6Y5ZoyOsPiu3UfzOJhmzyOb2RazEK/ZEMsUieONSineZbvxEXnsWCeGB92NobpnaI5R3AdxTa8P4B7QHCKdwf4IYNMYV86A0AG0POwLnVIwZEoDolEed5JXsc+7Xks4zTPA9VrLw8kcJzZwk7xs+qwJEn0+31N5rwNRhmsHniTE9IrzPtJv7Fr7BKAUwEA82QMx1kaHe3W04Us2gK0B2uR3qTgucwQsZ8BxSnHSMcb5wakVAVj3Sdg6Ut1e64u4H49GTKilpphzsErGHIavu3aMbduc0dENeJn0XT5nc3rQAGjGdYqKFSeP+wOjdHThfbWYkdY3escPlO8zhRaTASg9U1jViCRRYrgMMGTfPb4GDAwfygHiWAAEOgvZdoCKlZLnYuwWXmwO9TF+TAwhe6au6woids2VZt/nBbH2BOBc64K+NZh+l6WyFSYXTBforaO1mzF56gIuBS8vHS83wdYYdX2D9foOKAuUE7ne99101aeddtrPsxNAOe200077jD3aXLivD3JfiTTSFCpovaAsK7777Qe8PL3DX//t/4OXvuEmDYUBLWy03b6BN4BrAdMC0GI7WemWngOvrECLiebpCqMUm0fDLoxpdS+dTh0J6xBAu6VYlIIuzSOkISyoYDEQg0doGOEAtt6NtcxkETiKSL5tdLete1qOgTFMno4TZZO95LKkgyoQL2tsG0+rTkS1pBMV0U8/qDulEVXcnGVAWSpThBB54/MmO8coKmeEUGH8e3LCABwql8zvuLM4OevWB48dlmmr/8pMut+4zuk/evhApIDcnyXsQXWVr3L79p9JwMIdPx6Ug3yPZ4bHA2DoWGo5nTt1ZRY1BRLLuBLXM0zUYTrWqLAhojZHpv6X/HdoGrgmxsOrVHQv42ypDO6sSlwTWUncBJaCxj8cPA+IZ7eF8xrn3vfhIZYd90we65je8xnzQw/9kMEcmdkoAS6GIPJrFqk5vcuDMZr0UHbts/EJEDaAPKu0+/hclqpRXCPEACcSAXVzNK3fSzrIxFHtxIRn534RtTSVWsq0/iS686oOi4hH9icgJUZHDGUygDA6cSoxbNc7X89rZbUDcJIE5vJcASgXTzEjTtCYy2D+PUrjkR24uZ9T43xzH4mliD1YcoJ58siyIk3McV9DbT7ZuIsK2mYivj/88AO6NJQClLIghFKjXV/DRLH2xvn8WaQK8bSdrprnvvizJ9c4DQDmcJ5pnvpQom2DecKGruY6UUuxeYfpeaaA6YtZ2o1VHiq29rDrvCiDUB1IAXrfnDmkxgBixlKv2TdjPZjBZEtjWtcrPj0/4/n5BtCCUhdQKejdnjfsjBdr3wB3TUBb8fzxA7b2gvVS0KXjcr3assoFtVxxuTDef8N4/80f8Pb9b0C1ZP+cLJTTTvufZyeActppp532ik1kk89+SolNn4EKCArld1ievgewgX94A8ULtr6ZiCCzO+1GjWbdUIqiMieA0lWgRFa5BpYSQ65TgowYj/MzMYQVLArl4u9Fy9WBEjbdkJm6HA7iCOf5ET3aJwLNdJiROpEu64S9zO2J6D6zRwfnY+8o+xE9dEFcGY7x+NYYAYvuHx0nGv/1hkQ6AtTPnr6I7Zj14PwOZ1ezL9LJxIh8Bt0/N8WP/mth530bmfa71tnCIde5DwewAvPHrCrFdJBHqQ8x7nu6/uuR+vl70c8zY2NmCORRHjFr4rXdMQeIAlWEgOuu/2aigo4+n3+QkeJgRE1tcsfi6CiqjhlrwIDsjh/XKQKnxY97fccGmC4pUi8e9d+UWbLrcyJzRHU3cuMzTOHMzWDS9HeAP8lesd+7+wE49Ne9fe79dKIfAUA+72b9jpxjD86TQr8xNzlrWeW9E+kcY/4e5hPGOMS/xyBo/lvuSlcfrvURW2ieq/HZWDP8syL772aKz4EtA2dLDLDP25STz34rTwCDYjrPPYBybOru+qbLpbwnCfOcRjRz7tNc0qb114Howc6JB8F9RR5VNdBdxFNPvL0xpsDub5q+N37b3RVpc8ARTBnlytXnfIAQNPW5QtG2lqB2vMfODAmAMVJLh+B09P20rufcc3CC1CoVW+/A2DDk6y+jlsXXLskghNqTGVFVJ8VvxyzeDcVoq7F7iI2VGsDRfH9A92l5qpGWtKH3LdfDUorJwpCVKuayoK4X1PUN6vIEUIGl1ea03c+po+nhc689tx4d77TTfkV2AiinnXbaaX+Hjcg0Ob033ikgXbC8+3+gXN/im/YRt+c/4/n5v0MIqBV4++5bvHz6hOcPH3DTH1BKwbffkofQOj49b2AuuH7/O/Te0TtwWZ8ArK6psqGj5yaxlAoS0+wg39aZ49IgXSyfnQklY/URtbPymCbuoLkxXeuCrVkJz74JQsxvXS+gamCOlQU1bRXAhGHj+yY+OJzIBHLAWD1ySQgKvFp5S1ygWhFVhBCle2VUAmqtQbvlfWO6kvhXweI6AaY9A4KVv8VIx3FuzPh+Dyo6W0njECl0QcEQ/0NQ3A8bylmXwdrr6QO921kIKYZJvOdKBIPpkYU7IlAT6C3zO493rSHquPUX+zfP4/2ox+5NsU8FIfJ8/HAk45qn95MlEc5oHMsdFVEx1gKZozZgtSN3xBlQkRrmDhWBUTIiza41QA5+7FNcwnGx1wyUTKcsBgQjlUxdrBnu0IuE+GNcxRBc7g/SnwCAi5UUf2Q7HR0azm8pxUWkXxkEDGev975rU9xSMQ7BLBF5nHKW0fLD6/HecT4lYMIWNScaoAgRJcPj2Gjmec7BWXIAPF3wwVccvBntnpkldt3i+MUMfAwtmKNFetLM+Invz2vScKxtvppQpzOgsq9GtbM78zUqnOwsNZ4lx3sKTUfKUoAWcV3BOonz1TrK6gbAF+1ndtYhrPKaCY0W3NqGntWKeCptTCAUB4WnAwH5fdM26di2hkjnfP/+ilJqpnOpAktd0DsBsPLO1Bu4jxSeovb8M4aNAi4u3nuH9p5tAQ89EyXXG/FGFf83iFz8tYO4oJQVtdpzYWsNf/vhBxQ2geHr9R1qJWfTGHCybS2vi7h4KpAJC/d+QymKwnBhWQcwOeZrrK2M1owdo4VRywVv3rzHbXvBtt2wbbcxP5hdmHZBKYutTeRMORZ0sVQi0zkj9E4o9YLrteImAlVG2wR1WZPBgnx+x5om2LYXfPr0N4g2ECnWtaJ3crDIWDOtVaC8xeX6LerTb1Au3wL/N3tvG2vbkpUFP2NU1Vxrf5xzP/oDbBowSghoQjCAoUUEFF8TPkwag2IIAkFQYgIaQ2uCxh8YJAYCxhADAYWoEKXhFybqD7BF08EgJgSl5UsSBSLQdN++5+y915xVNd4fY4yqmmutfe657b3c291zdO+791lrrjnra85V4xnPeAYSVjm6L9s2hGSzzc7Zqwqg/OzP/iz+7b/9t/ipn/op/PzP/zx+67d+CyklvOUtb8Ef+2N/DF/zNV+Dz/7sz37iOX7gB34AX/3VX/1U1/tn/+yf4au+6queeMzNzQ2++7u/Gz/yIz+CX/7lX8Y8z/jYj/1YfOEXfiG+4Ru+AR/3cR/3tN3bbLPNPgKsB2LGEKBHxFREk9aBJhUzxSUoVlxevhkcgEq3qPUFzEsGowDEmPZ75MMCQDdCDGAKATMtgIimrhAhph0oCCAFRDOEKqQWHOYZgStiTEN0zVrZNtHO5jjaRA3R317atjsrTKQbyOY0agoAEyGQai8wEXJZFGxwir+PlEUU2ejT7jKvNBKqWCStl0vV6kNYbfqO8+fHuRnLP8YwQUs9M0QMAMpi7wfAHbWze0KLlA5RXj4CCs6adFAAMNFKrzxC3YH10s/rjw7hvjP9WwFFQ+S7Xfb4fEP4ULGMY3FSA67EI7j9RWdrHFv7LB1HlddjoGwddYxGh9XX0vhvh3BGNkXvk0dhtUdeOjRY9ZYWjW4RZQcDux6Ft7s7ov4ar45pbAATAyU42NB1Slr3PXp8zxg5W2k10AACB8iZyiF8n1PuYwPD7Nr9w5oSY45y4DDMiVe3KqvxdDZCj2KfW3/UHgXN8SbA1ZgdPDlu7/p+kHad+9OTThlT3gZ9VHgai/T1ZGwW8eMG1sl9KTzSgGBnAqzBQG+uoDOkFEAxkW0DlPoaPn/vn7/2aoBWgONxyteKKQN/Rh3dqwY+0vDVs2IprNrTcdxj0+P7l5SYRsi8zCilImcXDXewcN0Z1THpGke16PNNwaW1NsmxLVnBGSYBhQBiE6i1MSJnpWnyJwCySk1B+ScDSKjfP11/ZeyvA40A7H5RrRNPVQI0JZBJ9PvTno3MsU2X0i31Xiu1gIWw318gRU2fnQ8L5uXQNElcyF1Bk54qo2NScbi7Q855mIMALw+ugK2+FuOEGCeEGFEM5CVirb4lLgYPLMsMDppGd3d3i9rmTjVUsgimaYf9gzcipWsg7PUOMBYRh56+RO0/tnieSDXZQJTNNju2Vw1A+ZzP+Rz8x//4H09en+cZv/RLv4Rf+qVfwg/+4A/iK77iK/B93/d9mKZ7IjGvoP3Kr/wKvvALvxD/83/+z9Xr73nPe/Ce97wH3/d934cf+qEfwhd8wRe86m3ZbLPNXs92upmg1TvmMLjP3zUZjbDOAO3BBOwv3wBwRpEXcfP4MXK+A0tBYsa026PmqkBCqZabzlagV1BKRogRMU7qENcM4gmoC0SAZZ5RgoDDOrfcHRLSMhbowMAqwX+1LRp77E6DMz/8fLUIhAQpMUIgi6hpJQE2h1fQHSBBbY5XcwYHMGdVLtZLRrZWvdxNGyOEBI/e1VJQqupWdAdQr3feD16DDARjdLxUM4aBU6aDlW415gPQHbD7nWY5jc4DZ14bx+ceB1JkcPqPG0mr9tDwNwaGyejs3pv2cUawdAQvvHRrK7c6OpBOPTjqp39+1FzRdIOhFOxwnnUTTlMh3CFeAQVHbdXzmLBxQQNQ2rWG+4RXY9RNnS9pTrk1xzSExjlbfep+sKH1Q9MLtOKMpsQ1UGos022pC16qt7fLoapxlMYWYHXsCHyhCTyfBz5OHhj2YifpHIGddL+H70CCM9J8HsMR6DC+X+4BUFq/fdgrnbznYNeYWqXpLD73Bto1oPzcRc5eeriOrt1ToONcapF9xvVmROe31qo6WND7radB9RTHl7L+7On3c62iwrBLNkaMrjVmGKuxI3l+LwsqaobOE5TtAbZn5PnuAMYmgwBMOp8EqC6JgwRtjPp6DqyVcsrwXCilohYxwIJPnqVeLlv7zIjRNU8sjU56iWpPl9SvxqDfXd4Gq4rHpFXlpt0eMWiA4nCYMc8ztPw2W4qQp+8YOOE4fBXc3R1QjfnI1MXSFa7oqT8pJsSUwCGizhkO4uj3CUDBQaTcBLPv7m6d7APmBAKhCMBhh6sHzyNMVyCeULDu9/oR1qIFRxO32WabvZS9agDKr//6rwMA3vKWt+BLv/RL8dmf/dn4uI/7OJRS8O53vxvf8R3fgV//9V/HP//n/xw5Z/zQD/3QS57z3/27f4e3vOUt977/1re+9d73Hj16hC/6oi9q4MnXfu3X4su+7MtwcXGBn/zJn8Q/+Af/AC+88AK+9Eu/FO9+97vxKZ/yKS+zx5ttttmHk43x+JfcV4yOGaAblRoB2QPTG5GYcB0Kcr6DVCAfHoMhiM6aIEAyQFEjy1OMVt2kgDkhRqXrai7zDqADwIScM0IFRBZ4+r3ShbUGYxCnAls0lsbKNT3qRMzqThiLQDe8uoGsjYLNEGNSpORObgRzhoiKzXoJ5FqzVd3JgNRGKycKQCAVqCWN0p2O7suPdmmUPABiIoEUzRFaMC+lO/BkkVQaPe8OMBH1+evpBzZa97FH/EOvmt3jdJ7ReOhtchCF4ClJzZmWM66XbapbVWhgvQYGpKLpJpSycojPRc/Z9TBYwQt1IHqU/7hvyjKh4T1qqQtezcM6OgCGXqq165wYxcBYHCaEPIyRCMxpdIcytzmslsahgI1eku3aJ2k099gq5WNwMI+d6XoPADACUZqyRBh1KYhUkNRBh5w1xafUvGL7iN23Q2OAATQQAgJp4J0I4JAa4+SJS3ol5rkGwu6Da/g89gTA0nFkDYyIib9yCJoO1/qpz5hyNo1IQco0TbrmQK28cG+jl2bWxroA7GFZ2vOPg69nBVDPFckGFJtxXW/L3NF7CF07BujzPoIndUTd/XylNue7s6eMFejOr4OSOF1P58aiA+F6X+jzuUBkaSV/VTBVj/MKbMzKFiERpCmAsqDWBbWqsGxjhQXo90pDbfs3iwDt+0PFUalVwVGB8wgxEEWG1XE2Zcr6O02Tpe/5PbF+5qQ0KeqAgsDrlDMVL5c+Z14hyp8tAwNlv08gDtjvL5BLxe3NHW5vbjEvd5j2FZFcmDYhhmTfhzrO82FBLgvuDrf6fkyIaadMkxBR6oJaRdP4UsLFhWmVNPH0YN9HAUQFh7vHqCXj8mIPkRm1Zsx3dwAYgSdwCCBO4LpDmh7g8uGbQeESVSYUgbICYzjzxAU21GSzzT44e9UAlE/6pE/Ct37rt+LP/bk/Zxufbp/5mZ+Jr/iKr8BnfdZn4Rd/8Rfxwz/8w/j6r//6l0zn+cRP/ET8/t//+z+o9nz7t3873vOe9wAA/uE//If4pm/6pvbe2972Nnze530e/sSf+BO4ubnBX//rfx0/8RM/8UFdZ7PNNvvQt6NY+b3v+ubj2J8QEhNEDQDtQHyBEK8RwhU43EIootSMLBWBYnOGPOLkwnAjO6AqUUU3VxxA7vXgWJDPQQmtduORfyU68ApEWUXkYdczRgSaQ6w/6m9U0KAD0ZwMQaN/Eznl3iKHtaBKQeBgEbs6VFh4mXaEVfQNYR8HT70JHADxUtCyioCfOB4eNfS4rvsCg+NzTMEfU0lWTTS6PINaFaJzlPveg/s3sE9ykARPAHXgXR1Djh51f8IZBatF4ccS0arSjpeIxcjsEAC8ZnlApKX06IlOPOyT/vY1x3Cxy7bOhj76+qorlkl/T0PMIxBxeq2eRmH3DgAZ1rd2qc9frWVwij8Y4E9Wx93HoPB7cVxn/bdei4hQ0RkZLjAr5Kq4na7fxsTbObTdZDr1eAdf3IE9Ah76Gdbw8v3rUMYX7x8in4c2HzqnwefaPj6CJ/el8Pj1CQYMH923x2CK68MoqGBrsD8J2pCdaXLvoWOTQ6/HlLVxTMTHS4a/zcayyM6E8r6ExobrTKGXstM29PtmvF8U3HSgpbaUwxHIY3ZWTGn3HYlWxhrHVe+jcXV4s6kBH4EJFJRlIna/i7MSraEVRQEOAxWYVI8kiAKbPR3Q0mYsrY0MKHFA3B+DiletmZr92ey6I/37LsRkABFDcsayHJBLNp0hGj7rui7922jJWvbZK5spI0Y1UhTEzwbMsoEfjFYi2ftfexvdFFtm/e5HhaY3asCAOCGlS6TpAswTKkIDppwJdR5AGRfMU7622WabvXoAyo//+I8/8f03vvGN+I7v+A588Rd/MQDgne9850sCKB+sLcuCf/SP/hEA4JM/+ZPxN//m3zw55m1vexu+5mu+Bt/zPd+Dn/zJn8R//a//FZ/2aZ/2qrRns802+1Cxp3OSjo9qTokQQHsQXyOE5zHt3oQqwOHwPizLY8zzY7zhwTUSJyy3d6rXUSvStAMxNQ2NUirmxWjtHME8QbBHCEoPLia8qiBMRo//+cZO1o2ldWvH/pE5ubo5EzDHVgZWhjKuYkCLb3LZhHTL4PRUEdRlgUhBiBGBI5IESHhSRLq57effte4McUdrj9LSY0gIQdOemE0YVjKIXP9EjI8zONvn7OVsHIc2kYluAtyo4THEp3J4Xo6ttTp6M57mMscj3JgDFv0GugO/+pwL5NbaGByAGMtEq2g3BoOIVS2ugKjjVAan7VxrRrDEnZIOqGBYew4alCYY2dKzaABxjkBI2Pi4o+yioaVi5QQqYNTH0kv5jk5l88yO7EQbZFU1p3/m2DnyfrV1BADcQZTjVBoxb7g72t35Pl1rx6DvAMwKEIRB0DQEtvQJL897bOI45JOwsNbP7kzLvTwOB8I6ODemh/XZl+bcO4By37nysiClpNw7L9c7AC6exuKAjKc/Aab38QSQ72msjT/BwGI1F4wdwaJVu3Nur5fGmhAEZoTEbX6etg1+7LnrGWZmsIWytGIMECmoFcZ4xHBPMFJKcJZhKRnOjnKtkdE8I5ODtTsGxBT0OlMCcQRxBKzijQO9FcBiOiNgPZ5YEFMAV4DgmiVkWmOa6hI5gDigVIaIpm+Si8dUaDl7AJUEZCXSERgcIggJKnQM+Hfm/vICKUX7/l1wc/sB5HKnKTkygRAQeAJRhAvE+rTf3N2ofhkbu4UDdrs9Qpz0OkwAC6ZdQgxrN0xEn63LshhYI4hB03bnJePiIoBDwN3dDYgiYtoBYQ+O17h+7mOwv3oeIgFFNMWYAiOAEDCqAY331WabbfbB2GtahedzP/dz29+/8iu/8qpd5z/8h/+A97///QCAr/zKr7z3C+irvuqr8D3f8z0AgB/7sR/bAJTNNvuItidtMUbeQ0uQ0dccr3AqgwQQJki4REjPIJWMmJ6FIEEQIdiZin7EUhYclowH0w5EAbksCEQIxCjlAIGVZuQECpeIdrFAjEoZQgU56wZXygKphELqxuiGky3FhUBUV36pR7almugkkW4SSVBZd6BiTI5SFqvOEW1T7ZonxhwgBlOFMDUxQHemqhQEmAitGNgkAKSiim/MT8e4+WQuJNkcWf9bqw0JbOPODAoRCQKprGkaIMD6TRYpHQurHONKtZ56iR5dbp8hoInwEqlmAQuUfaRriKERUZQ20ABJWyLuNZMcMZ4Gh3v9l/37qCqMx81j8CitwHVlRujCo88yiAR7CoIzLoS6DggTo9ii9ii2R34BqNgohh9y4dPerioDlLcqW+qilaqt0NIH2m91aBpgI5b61ZzhamvGAZQ+HiEcb3HGe9o8vKY4ZGewdlY7js2pd32iNn4ttD2O/+gQ6zU6c2fdXzGQEgb4ELgvjSG6fvwIqlLsnLWVl8UwHs4gcceVEFDqeH9qvx2oCiGY5oSnCqEBGOQ1nrEGmPwh1xhvRwCI37ncNJiAk8U7zgoRyM6h9wQ3NLABSCEoKMLqQB4OBxVsHs7jIFOICQJC9pLEcADF56anC3mkfwUAWJNdd+fYjgEJT2fxKjqjTo2nEgFo2iYEQEYwzufWwLBlWRpYKeJC3IOAMjqwwdyZiKM2ygjC3Nfm1l4Hz4xFWGoFkOHlhbUdmvpDDKSkVbC8mo+3q5ba7gEdk4i02+u3AgerSFVQ8gHMohXSTNNjmRdlk0m1IIBq/kgle0Zbmik8LY31exDabitPB8m2ZD2XimBV6HSemSyFKEaEoKC+SIBXriPo/VNLxSILKjJyuQNPBZMQag0ARYASgAmEqPCEpSdKNXHeWrCfdiBWholAK3zlrDoqc55xeaH9rfOMXLULi2uhkVdw0kpYkIjIQdfGnLHk2e5xQkwX4N1DXDx8E+L+GYCTsVS4PT5qdUR49Y2K8am1XusbvLLZZk+y1xRAmee5/f20qPoHYz/1Uz/V/v6cz/mce4/79E//dFxdXeHx48f4T//pP71q7dlss81e70ZHv8d3zgMr57ceAnXQEkAXiPEBaloQ40PdsBEAiRrppYBcMpal4poiQAG1ZDAThE1/AYLayrhaaVepYHOIK6r9t6BWy+kndSJUeC9aiWGDfFZUhB4lr348AcKA1KJOHqtzVKpG1xhACAqglGVe0aLbxt4cYK1G0N149Y/G+LJWFlKgAzhO8fHovGt4NAp6A1AURFKMhMBhAlFAJKDk8Xj7PFXgCICgo+vdE+R2xdzxaO9Rc4RbXv3g0KzGuznh+nka2zawHO5lyJz1SM1JYIf0VhPc2wFPF+vpH+6wamRaVqKv3o9GIBFnQ0gHAhqd3H9ouL47cbDzHDl1da2LEoKYYyYQ0Sh1L9Hr5x3P0Rko43iNYrQ+mL7mGgNEZChJ7s7p8HsAPEKgo2uYkLT0ce4O6rp/Djaok+z94KYT4+NPKhAEvY9OnzOuB9J+90mx6/Y0nMbkkWLt9PWo4CgTI4YJHEaR5WqOss6hHA2qa4jAgJaxf9Wqu/j8E4XhPh/W9RONVn5elc7AQYz6DCqEZZ5RnU40fpoYxKG1Z2R89D7oM67UPrcjW8PH8dy+dExjOz52BFwc+DmeQ9cVOkcVKw60+pj6A6id69jJhQEf58d1ZLGcjPIAyig/QYG1KgBqRbY1quPTtWeYCJRC03hxJ/4YYGNSIDmlXiCiWvqolIwABtUKxa1Iyx7XrMLpikcowC4OoFgpddh3CgUQeYlthtSsc52l855Yx5OYNSV2/B4MEcwRWsI86Bedr1tmFNcXqnfIdQbHgiiEWhmoAVr5xhglpuNSpep3eMkQqSZ4O7xv4r3LsiCXrO00AHheKnJR1g0AK/3uFcgYUjT4cZgXLEWr+zBXFTqOe4TdFXbXz4PDNYQSSHROyYFbwJ7b9tzU2T27btZA82abbXbOXlMA5V3velf7+5M+6ZNe8viv+qqvwi/8wi/gfe97Hx4+fIhP+IRPwOd//ufj67/+6/ExH/Mx937uF37hF57qOjFG/ME/+Afxcz/3c6vPPI39n//zf574/m/+5m++rPNtttlmrwc7jtY83Sfo5JUE4BIhPERKghSfQ5ZgEacMlooULhAiowpBN2ZKXQa0nKEKyxaUnK2cqWCKk1bmMPBBRWcjAIGEAFCBoKKUGTUTmBYwTQiIqhGC0w25iKDkioLaNuzM0aL5DoIAIhmlaKwegqESUXcmm24FilKxDRSptSJLRmQlFruYbNs0N3YATtro5WYbIXkAf0ouELCCSFLARsf26KLStAmqA/PkDaL6MecRFKr3bzDVmbFI5krk0DQ2DHQAVXMM1kDKqg3HjJSxDfc4Tn2oCPdvhJ92XevnXWMHBt4psKHv95Qb1Z1pa8YAlGolrulodXgKRnUnD1DdgCqIMYOZEWsAhwpPiTrtSxfLXYus6n8c/OhgzrHDbSwM81uZfd0RUkyanhC5aTeIlPbJ+wRgn2TurD/VgXQKOIxgUzEH+9hBPnXaBSEYI0hU64FII+9MjBANZDLnT0Ge3D7rQIqnZa0AFel/e6UPB+ieNpr9RFDF+gsDckZQIUYFkQUdrGAa9FuecC1PAfI16GyME+aI9dnL90J6+WSt7nWfttH6eu0zpegd9RRrwEt5OzDja3U9s/Y8GcBEyLqf/Xx9XbT7wRkmoroeCqr2MRjbwiy9ShDQWGLt3hyFwBycJAKn4TyodpgCexVAsPu61IKcF+Q8g0JUzZfGC+trapr2jTFDZAwUEIpkSDF9HCmolEHCVgo7aZ8iIaY9Qtgh0A5ECYIAMbZGSqm1tdQFRbLqnkiG6pZUY4RMiGFCCHtwnCwVSUs2H5Y77Pc7CIClCEIkhCkhpYScC174wPuQpoT9fq+aKBwBYaQpIQojTgHR2FZ5zqi5GMBywM3tY9zcvIicF4TdhEAXIL7GdPEGTJdvAsVnAN4BEgw0GnRlPNiwASObbfaK2GsGoNRa8W3f9m3t33/+z//5l/zMCLi8973vxXvf+1789E//NL7jO74D3/Vd34W/8lf+ytnP/e///b8BAFdXV3j22WefeI2P/diPxc/93M/ht3/7t3E4HLDb7Z6iN/q5zTbb7MPNxij6k48a/6bVi/4Kg4Iq5Ye4R60H1Jwsp5pAIYJDRdC6hRDiDoaIRs4gWkoYVdNplB6iETmNpBWNppGAuTihQIUlfbstxlIxIEKO+unRVcDBE6XiB2ZU4QYqSBVUKp1ZoYIXMPhDo+nkNHV3NFz0r6IKNIJs/YPRz3Xj10UF7VTNuDkRvTxyd6IAz3tXZ88BkKM5dHr3S8zvfc6dNnftiLuVqsATE/d3nF2g+RHqiDm7Ae5Vi27QR7bImTY0J2j4+9T89XOgw7ELdvw69bfII9CjHoazI6QzHI7acgIUjGwbd7KdnWFOua87/TGIjCzVjHufz/aWRvFa8v8Pl++lnR1Y6Yd2x1TE1ygPTjQbK0SaPkzrxz3tOWc9heJpjgXOrctRK+RE14LOjc/ATAHaPdm0Towl5lowTRNEnJ0lINGSrl6SSpcFnW+D2X3L8tz99CQA5Xj9j4yelSaNXZC5r8f7rn+OPdJBEx8XY4gY3qb6T7pmS+1jRcHvBR3g8Q5paV7StU88vYnvWcnn2hQCr9JkRobL8diMAM/4HPexaZ8nB4esfUNFLxFS4IE6g4aIDbR3xgr6OiIHtKnN2Wj+/BMDMH1tUGuDa77U3o4jkNPP3VlNBobbAAuMLVKyVgoyUJ7ad4QCLvqdmhDYNFgoAtRTdxxoUIAyt4pFHUC2FDELKIQQW1llL4MtIi0drIh+n4UQIGSaTSUj0YQYE1zo2VlThIAYPZVOv1Q1XdFT9jKKMaci7RDCBVK8wrS7xrS7BkyPxb9nxxtRjp4Ppytw/crTPts2OGazj1R7zQCU7/zO78R/+S//BQDw9re/HZ/+6Z9+77F/4A/8AXzJl3wJ3va2tzWg4ld/9Vfxoz/6o3jnO9+Ju7s7/NW/+ldBRPi6r/u6k8+/+OKLAIDr6+uXbNfV1VX7+9GjR08NoGy22WYfzkZn/npaU/CCwOC4B7gg7R9CJCMfblDKotHvfUJgBkIAQgKYEBKhlgVVFt1ES4UUgaDopqoqqKGsgAmBg0ZGLS0gcAFRBqrAc9iF9PNFANescIo4CE1c0Z1OT/thZkhRVf/R2fWNJTenWlrpWVBCFYIoOR0e5SylQGoGoTu2uuHT6Js6G+fZFYGP3Y/aAuGUnGFQIJVQW+UW04k4mVPTfDjnxB05IHr9ztwYPzKmhZRc1AW3qkM+F+6giTlUtUhzXLujKxa4fSlgZB1RPm0jnRy/7pv9YIzyUv8xOrsNA/Iy6nigHcccGlC0GhcRA8fsNdd7weDEOptCRufN3rPIObHS/NkcF10sawe5j8P58ejHnXRej2dCaGPukXSy6hg0FOegI9bJ8Xp6qTTkp3NJxMRizi/JLn7aNDJg2h+ArR1pztdKnYksvYwZHDQtwAHOWgtyWbDkxaqsFANQamMadEdenznep5WuBtxR706+32NN3+RMn+4fjPX5i/e51tX67+kyPE702WsdC9Cy9YujOsLORGnXQ+3XlbW4K4UApr4SRiBFgVG/12tLb2LiBkbdZ8py0L+daePj2/rSjlVn2fVwRpHdOgBNKwYKTNfIKuqUMlT8oQBmARtwxty1OOow7n7OzlSRo7Y9eb27/o6Xp16WBUCxcsf9PmzMQWiZeg7K2FCws6fGLfkOh/kGtRwAY06x6/vECVq9LiLGPQIre0RTgFKrNF6q6gqVsihrUwoEGYKqLBVRMGa33yOGHVJMSDECRFgWE5i1OQMRqApSUp2wXBcsdUaRghBVVJasX8rwTDqWQe/dUmaUovcjwVg1qhIFQQKFZ5DSG3B58dF4+PCjMV29Ec6wpCPgXGGmJ32n3APoPXEGN/Bks49se00AlHe9613423/7bwMA3vzmN+Of/JN/cu+xb3/72/GVX/mVJxujz/iMz8Bf+At/AT/+4z+OL/mSL8GyLPgbf+Nv4M/+2T+Lj/7oj14de3d3BwCYpgkvZSNgcnt7+9R9cpbLffabv/mb+KN/9I8+9fk222yz14u9VKzmJT7W6Mxe6SIhpSuU+Q7MF0BYEJCtpKNG3YVYhVApQGpBKQCZrGWMsUft8gKAEaJHsgJC2KFKAKpWoCCKCFE3YCRFN5RM8FKP7nwcpwGM0cIqxnoRwMvgNME/y5Vvkd/uySnoYkKOWg1D/bJasm7w2TfkwMiWUBDGW+POtf7dnG0cAQ+ARaQBkWxas9auJ0W5T/rdrzoyDohPq9KcfE6AeT4YgyEgBG1TDCoom9giuU3HxYRqjV7dYqCyToHooMgAYhCtBCpP2jRujE+aLUcvPmlFC0rx6iAYorqm5RC6IGwvbWxavwCUVeOXOGIT+O/RCbc0DAcFPG3AP3MsFutpDn2s7u9JmybRudXxg0Z/nTFleqweae/j0wVJ9VzjGBLWgMoI5qx4Cav2MN03e/ewNTDqqNQ2hqq3I8CQYjSex5kGxA6q9PtJdVQGjRYpyHmG6786sCTOwrB79rh54/zB2WQjM0heAiw5OwZAKV72HO1Z4o78iqEiopW9eJ3OdToWvZ3OwnFgiL2ajKKqxjbpoMsxgOIirKcXshQ1weoztVa43uloK/aUGZuQrgKxQzl6WadR+aryW6+U2gARHyetggVIE7H1lLiuXePlnIOlRSGMzx82jkZoc8rkf9tzUY5WMlVjhvQ1KS2Fh8CsTA1N2zHtk8gGGA3AiZg+iWuNCFlVOE9hq0AtWMoBucyQmgEiDUYwACattMMRoB2YdyBOqKJlj0NMWJYFpRQcDnfKXCFBqbMyNatVcDP2S+CEGCYrS6wpiwJLIeOAECJq0WdLSrtWDe7u9g7LkrHbTUhpAoeIUizgYCAZEWHJM0rOmA+3YDJQz/oQ4w5X1zuIRHB8Frv987i6fhNCehbga2iqcEN823eDAD1tbDVNx0+frory8u7UzTb7yLPfcwDlv//3/463v/3tyDljt9vhX//rf42P+qiPuvf4Z5555onn+6Iv+iL8vb/39/B3/s7fwc3NDb7/+78f3/zN37w6Zr/fA1iL1t5nh8Oh/X1xcfGSx7u99a1vfepjN9tss48gI8dQCIABGuECzHuAJhU7BRnGohnhvq8ZadaqBSDgwBBhSCXkrIwSULXNnOeFA0JFnVeuII5gj6wzVhurlWPjjhatK4L0SPDYMddjsNovYWw4D469C4y6oKenAFU4y91Dt+0z1FzW1fWUbeJtKUODjS1D6hTU6k6GUdHl2H2VszvEl+vgrZpm7S1Z26U+fYaIbrJZ1lU+RtBliFkPuNsxiNKd3n4U3Yt9WOz/5HUfV6Wsj06Yg1djOoyDPJ2BQq0tPYXCHboRDKG2ax/SZ+xvv/ZqvGXUM1n/NLRp6NnIhhkr/qwGAOtpPk55IOO1t6g6MepZgQrvV0/9aIvqeHxXYI87tmM6hKClCt03d0ftHFrRRVGHvvV1cjx3Bo7WAZgbXCRtmwvBWv8sjQdECFYilux+ERJLrzvtr6FOK6ZDu6/bmADrGTntYzuvr5EqqmVEa7DNP+OsIAVUKiDceDfjGvfrtLlgFUANbBXBXN9jSFXyz4yCvU0w9wiMWfXH2Sf1GKCoBtj1Xo79HZ/7hA7ydKDCWjY8vmQ4QwOoq7QfFa1FAzgaO0H0NV+fq+P99fZM0NTNLgrs3xEO0tY2rq1NomOv5aGP7xkFtZmpMWZ0bZKmtjgjrlXJ8tSs0PsnKqQMqah1QSkZtWZ7tqE/qIyJouk60VgnKhyrqWwBpcyY5wW3d7cgAmIkVMnKQBGtPMTsoJFX79ESy/7F0uZKNOhBQkhp0u9lEJa8IJeCaUoIMYBIq2MRw/RedOzykjHPB9ze3GK/v0BiFx1mcEiI0w5EEwoeIk0Psb94FhyvAbpQsAk+Zk+Cbp9sG3iy2WYvbb+nAMr/+l//C//f//f/4X3vex9CCPjhH/7hJ1bFeVr72q/9Wvzdv/t3ISJ417vedQKgPHjwAICm5LyUPX78uP39NCk/m2222Ye/PSk+/3QfVE0PQlJnP16B4h2IH4BCAdVb3Nw+QkyENEXkfKeCeHkBk25qHz++AbPg6nqnG/qSdXOquAxK7mkYSg2ekMsCKgJQMu0Qak4thn0tYJtoqWAm7HZTS8+JUcsoxhixLLPR/Q2MJoKXBeYhYllrVZikaCnQ1CK1ghh1czeWhVXzzd84fO7+VHThUgVScl4gonnnoeWNdydN04R0s51CQgy6MZdWKtPTZ04dIO9bHEQFV28NTIsxahdA2F9cwDexzgJR58RSqKR7P8SMQKQbfzmeED3NNE2tmkhjAgxgVjUhWneEAC3k4NFLr5JxrFsBAaJH9kVaGeMTzAoVIQysp6ZV4Hn58aT6iIJ9MHDCutK8Gr+EO1/q1AsRGEHXEnNbCrUWBcHMedM2VutvwXrN0NG/3dkcx0ud8lwyWBhcNS2NiFFZEIOWyq0OmBRNMdA0gWVw9juEwRxsffkcnAyiHcctxcUj6R4xliGC72PbRJjF0zLUAWVneYTQHDe10NZCyQY4SoaLGRMRaoVVGTGnXQQkmhjAJOavhsbkCFbxa1XRaACvHHBrANGg19H7I82B7/ocgr5uCxykaoBLn2xlQMHEX4tWLWmpNiOe2JrVocNxXcYY2+dcnLWlokRlKJfc2Rha7UhUr8mYSWzzHAmWOtkr0kAYuYEBuu68Moun8SgYboANoOwaGftLbS0BCoiAYZWFHMSR1oecs4EQ9owQBWsJDCFNieGgVWc0DSvafWtVxsT1NxQ0D2mClp7XSjRFKoJoWmIME+gYOBzGpgm/imhVnaKVdYi0ghVHY/wErZ6zLBk5KzgVUgTHqICH+LNTq+QQ7XCxvwKE8OKLj+1eKJh2yhYqRfuZdhNgrL+UdghxQggJFCJEGLlq2lUIE66vH0CEkJeC9773d/CBD3wAHAqmKWB/MeGw3KHUgmmaEBDAPIF4hxB2iGnScSQAWIbnGwAh7HeXCDFi2k2oteDuTlN1mRgXl1fIRfDii4+xmy6gX4EF8zyjlIz3vf939TstBExpwn6/x+3tY8wFmGVCwCUiX+Lq+i24ePBmhKuPAsIDAHuUvDQw8Kw9iZ632WabvSz7PQNQfuM3fgOf//mfj9/4jd8AEeGf/tN/ire//e2vyLnf/OY3441vfCN++7d/G7/+679+8v5b3/pW/PRP/zQeP36M97///U8UkvVUnDe96U2b/slmm232QYEn3RfqDqO5WlAq8gTmHUK8BOQxgAWlqKOtDAZYxNUYF156UEaBV68w49fwCKOmADECRDJMfaWxDtDa0v8aNSjWrIYzWh8t6tjjWoTjUvRjZNUjni6QWldO3+DqrJzIsaFkzBIYHV0GBoM4DV0I3CKn7pb73zKwGNZ9Hv9eMT70BZy1MdoqQx8IiF7VZJXHb/NyEkHXn5ZSdWTsyfn9sg0oOdYN6X/bMA1Rbm+fgyiN8WTjuE7hktX1jsORq3QD8r75e9RWhfu1zmDojIB+LNDLChPqOgLfhxQOmvW1fjyHw9it2mturINLgs608HmAgirEFSzcz2mD3R3+2tOt2oVO5+DYfJ59Xvp66NyIPkY0fOb4PDBQBRiZHqfion0QelfEwMX1XeH9UC2izpLxlJaRATG2w+ftWIMEw2urWWjsibEv62eaz4mvhwBeT+VwgvYcMsR0XN/3prQNbRv1O/rrfZ2s5pMIzshbCavieOxtLGx9NdZOYwwNc+I3id2D43NmWCJD3+0OMOBJajWxbW9zn05CT9dJYz9BQ/+O7h3SkvVgNGHU4a6Gg8RDs9dTMp7vaAxP7tHhueNVgtj0UMgYKQ4cqvZRUDCYot0fI0gq8LQ2ItOziZ4+af0ghlZms+dMu28Ynl5VilVto36+nqrnelYRzMl+6/g4E1IZMb2vLjArIsg5G9gvpj0UkLPq4ex3XgK6YMmHxpJXfZgIESAX1SsrlZBrBGMHChfYXzyDNF2DaAKEWyqtIuF0sob6Y3sDUTbb7JWw3xMA5Xd+53fwp//0n8av/uqvAgD+8T/+x/hLf+kvvaLXeBL1+g/9oT+EH/3RHwUAvOc978FnfuZnnj0u54xf+ZVfAQB88id/8ivavs022+wjy059T4LYI5dojxgfYH+RseAxKjKQA3KekfOMy8sI4oA8iwrH1QqORgVeClJkpDThsGQ4v9i1KZozCgJQABFURIMu9N8k6pCOre2U+AqUtYDqMVigkrHFzlEB4sYs0euGdedl/MM0ByDDe7Z7B60Bg0aT6U6Msg+MUWH/riKgClTWYz1FAs1JwlF/Xx0jIiv37Jt8xujS1eKCt9J+K8PDxuyMeXrFueora2eoD1wp+u/KsFSa7nCcnNsBAhPjPXf90RTsAYDuaK/AM9dQGMa7gRfueHtVHWcKEEbEx8rR9rSK3nZpzqJIT99wfYju0Z06CWOayphaAXNEtYBUhbDrgvS0nZbCtBKv6ICPVIHwOdBj/Rlt+7hGe5tl1X65F7ltQMxLOEIjKHD6pmBVypv9rmUwA8UAAabOPFFHr8mlnjtpAwnPMrruNcGyLBjTo5Qpo3okHEITDfFqQESmcQE0rY5jQOnceLTUHeKj48kEVa1FDTvRUuGBQyvj3F5nHsoY6zVr7VopDlg566S34XzbVhc+HiE7jzJwij4RRSGBakwSMvZHuxWJkHaTfrb0ymm55gHQMkCJIoSNI5l2bc5VD2gACR0U8pvQml2l670o66b/3Gc6TlqunFPQb5RakHMGOCJQMJHeiMAT1F0Ra6su/1IXiKXaEBMCq6irCsgmpeI1II7BpIAKiFBF9WLmeQYxkFJAmmDP4orACpwoaykhJRWOVU2TiFph4Mvc5qCa5laMEzgQ5uWAw+GAeT4gpdREiu8OM0opCIGtul3G7e0j3Nzc4vLi2gCYgCUXzFlZdqVE5DxhurhG2D2L62c/WlN3JEHpZAV0hsW52WabvTr2qgMoL7zwAv7Mn/kz+B//438AAL7t274Nf+2v/bVX9Bq/9Vu/hfe+970AgLe85S0n7//xP/7H29/vete77gVQfuZnfqal8HzWZ33WK9rGzTbb7CPDjuO7xhcBjAGiQnw7xJjB+4w67yH5DgBBaoHUGXXWvOtWfZiAkJI6eCioRKgEcNSoXGCGkEIS6scp2FKNTj7GDYkKCIOWA7qeglR37KttugXgiCIVJJ5WcSY86pwPp9TrhdqxfR9d+3HcHSO0MbJop0UGiaCpBIxOTRZzGFhPXEsFNeE/A1vAIIrmWFt09QQeOA8qvFyjdm53Rsga18fCnSlnEXi6lKcUuVDksTXmQ2NBnEZ2T9hDZrUIKqmwZiXSMRCAjI00sipETNzxSGlwZDP0aHsvH+2gFw2VkcRePW3X8O/BoezLxZkZayZBB+96uo7jEH6usgLHvOoVhmP7HGvJUHVA2RkXg2PtaRdi4qqdHVEHkVzRsfLTMq3EMkerrko7mphTJ6xe6tE91Yhe58zAt2P2yepwY2Ycm6fGqINv7BvTkRhTu44ZFnrZfow64A4GDEyUlYN93G4DvWrtc4cBGLBSvy7s6+0N5hDbKgSRAcotFao2EEMruJwfOBE5ESR2xx/AUCcMwzkUCIkxQITb5+BrZvhp97WtlxCGdLtOD/mgzJkMxdJ1Gkgl0sBkH6+xrHgIQZ38WhqI4lpZPn4N1DHQ2dOaagVgaZOuY0LteeDr3+7p4gwrB070+XOMt433tT/jlXnCqFXvhVoMEA8KiISQEMKkzy0BiCIC6zdJLod2j3IIEAQQpwbsliIoUsAsIBZNI2KAgpWWhoACkKaIIhNSgonbAlT12aTX15+YJsSQUIqvW2WSiAi0PHIAKGKeZwgESzkos4UZU9ohxGRjCQVPIkOQcXPzAUhdkCJht9srSCSq6SMiuL3LWDKDwgM8fOYtePDMm0AX1yDaK7vGH4gjA+usltNmm232StmrCqDc3NzgC7/wC/GzP/uzAIBv/uZvxt/6W3/rFb/O937v97Yv7HOaKp/7uZ+LZ555Bi+88AJ+8Ad/EO94xzvORil+4Ad+oP39SqUXbbbZZh95Jke/1QbqMUVw2IGRwSFZhQAP5xWUXC1QJt1xsGhaLXreCrHc9a4Z0JxPAVx8r1cw0Bb1fVV3akenx6tciJeSFQGhopJuUkcn4Cw7ADhhArijNaYZ9U+NA6Weo1TV2giBm9AnyNkPxl4ZHCEta6osgkb/JphzbOc4MWq4x1lc6IOyowj4Crhxerg7qk4TPxq7wQRYMSHc8VynkqwdVrEqSQLT+xBYadwR0OqOUWdiHI9BP097hbrj7kwUd+CaEyc9DaM72+vOuaMsR3eIa3v0sVtPSgNjhkVzX/rMfakketbe5uYIw5kxTuGvjX2CYd6aVo2M5x1TNI76OgrPrt5wB/j0LaZ+j5z5IMZ11sGO/u59TIZT7FNWIKv/bs+RFYCyBu4coznGajpL5fTijj/180gDMro+iLGU6sBIYRcdVceeeQTyRiCgr59zQ0ADS6bdiwYae4LhOSbLyLDycswnqVP2ngNmp+PVYKF7xqeP8/r4DqSO1YBIB8HAYlrdm2M61fhZHUtqQrGepqXrXs/V0pqgQMg4X12adAASATtOQA7A23OnmkhqH6Gh+7Lua3vZT10BImegRDRg1CILAYw5a6WkViKbTM/F5stBDiRBEP3+oKaVpfc4MRASI0lEDAq0EFXVczEQKrCJxnJQfaQm0lsauBQC7NoReVlQasFSZ62gxGTVhRTQIsD0aAilVBzuHoOgWmEpJIACSgaUPWMaTIiI0yUurt6AqwdvBNIeQAQqA5XsXvR5f6qlttlmm/0/2KsGoMzzjLe//e34z//5PwMAvvEbvxF//+///Zd1jl/7tV/D+973PvyRP/JH7j3mx3/8x/Et3/ItALTazld/9VefHDNNE77hG74B3/It34Jf+IVfwLd/+7fjm77pm1bHvPvd78b3f//3A1AQ5jM+4zNeVls322yzzc7ZCDHob0KtDOYJIRJougLXA3Z4iDJXZDrg0c37QSS4ur4yR5NNnBFIaYdaZxWIDanvkToWAhHT4a8M1AByXgAxiuVIMwmAApHcNrKBCAVVI51FKe0SugM8GYij6SbKoCBSh2lZFjSkY4iqx5igFXhOPZrORqDVhnydnqLvK2tlAD0oWvu5RdS5Ut9EU7DrellSB4wIKk5Y4FU7joGOPnPnHNH7Inva91zK8EpHJTojw8vPdgcx56zH3yP+5zoKtVHqXyK6aA5irb2Eqlaf0LfdYe0ClAVxihbBB9YKw2JCrmSR65664+DMytm0TbwYfara+455rJgpsu7zyjn19dzAkvG42hzkWgtyHkPd/biU0hlAq4MTxH5frZkJ2u7c/hZbK7Xms2N/ql8zAFrn5qqt+w/Cjpx7wB38NZDUQMv7wBToWjwc7gagwh1aRgiEQA4oDT/e/naOtR7QfR0TY0scgyeAMYGY+7mOwBBfE5UUeEPtaWBS3XH0VC66N1nPAQgHIXLJrUIRx2iAgopb+3onksZwINIkieN17Iy9WqqCE/A1aucmr1b15Em/b66cgZIHBgobqBRCGsATL8usY3N3p7oah8OhjW0ISSEyRgMbxntASTmCnAtyLo1lQQRMcUwz7KPszDi/zx3UFivbbL3AuDaICQEBEGksGQBgTpoeAwFzRAgJzJOVZzbxXAoAA/nmgKUcAMqgouxOgFCFUGrF4ZCx5IKreLlaSwCQSxeEjjFCJCGyMTylamlh0pSbwGzAi6UENVAK8Io3EE0RCiHi0YuPseQZlRbs9zukNGG330ME+MALjzHtLnC534MZmJcFjx49wrPPvgHXVw+BGpSNg4B5EZQKpP0zuLh6Fs+/6eMQr58D0gWQRVmcIYHCpH0/JbNtttlmr5K9agDKX/yLfxH//t//ewDAn/yTfxJf8zVfg5//+Z+/9/hpmvCJn/iJq9d+7dd+DZ/3eZ+Ht73tbfjiL/5ifOqnfire/OY3Q0Twq7/6q3jnO9+Jd77zne0h+O3f/u34mI/5mLPn/6Zv+ib8q3/1r/CLv/iLeMc73oFf/uVfxpd92Zfh4uICP/mTP4lv/dZvRc4ZFxcX+K7v+q5XZhA222yzj0jroplqFjO299CjfkwIaYda97i9IxBFxDhh4QDdQuonPMqq4AADUuD6Js5iWDk2XmpUXK/EAAwND9rntERjrQMTgjwKqxtcEnVKArPpABjdWgRCAiGL4q0i6RY+NMtFQEUjaURAcA9k4F/4zk9dH6sGYewajD8UDIAgFfQLghgBEXVsPcIM0VLPaGNuAIqXj4XYWz2y3F/T9hHBsjRcd6NHrcnZGStH0kGH0YkdHaK1gz46pe6wnTN3xDR14OwhK1NfUp1BtigqyB1XGBBgEVSFcTpU0sCZ4R37jOq5oI1BW9VPYHp4VLQDDGt2SluTziBo4zQ45DbG1cLhgu6wKXthHOMR/DrfJrcQYmNv+HkxlPvFUZQdAMITxH7J+9uaLOinOXKMvaQs9fd7apeuhwAeovfOHAh6H6GDDGQ3rIjfUYOjSFilavTrSytBjoG9sm6j/sfTlpoOzHAFZyu0x057DqzZFzZKPfI/sjNEqxitwB8bHDK2kfhgkbLPPN0KNLCY6Hjcbb34j+ak6Kpu1+7rspQKJtPA8Pvd2TQOCAxPdH2M9r7UMe0RaIA3s9+7/jRTUW9fALbi7KnU16+PhwM+pfb7FtCl6kWT2qAZE6qK96m08xB7BRzVtVGAuWvA+I/qz6guzbLkJmrOTEP/2wJp16b23aSj3PRmWHVZ1npG/ePVwUQrA8ZE4BAMOImdadTWsKDUjJJnlHKA1AUUdDAcNIR4qWPpFYv8OQjXpSlt7F3EVkFtHdsIS00k7r8doKulVWny+5A5IMSIlKbWxWnaYZoSpikayKZgNBMQQ9AxnjNQGYESUtwBdULOhGUBKgIqJVw+eCMurp5FunwDQDvU4nMXsapeR/ZdR36XPgE8vfedzTbb7GnsVQNQfuzHfqz9/RM/8RP4lE/5lCce//Ef//H4tV/7tbPvvfvd78a73/3uez97eXmJ7/zO78TXfd3X3XvMgwcP8G/+zb/BF3zBF+CXfumX8L3f+7343u/93tUxDx8+xL/8l/8Sn/qpn/rEtm622Wab3Wd9izhuh9f/DdHLNALx4hqFMh69V3DBEde7S5TyGLVmlAorQxsgRABYS4yK6hbUbCKuqI1EMUbsqYEvbA6FsQaEIDWjVo3U6ec17xyw/GzrSGBWanHaIcSdOjESsFgZVhd6VUq4O5y5jcI8a6lKPW/A5aVWNzt1fou5EaoJEpPmmrdDKAAUUGpGLQwOF5hoQuUFqKU5O80Rq2gOilUCtXHQt1VQEKt0GG70Z9UOUckVaU6Mlz/uszo48k3qwsEeAlD63vaI5eDnFRFj6Zx6sWLOwmphOSgz+i/UITsCYUoTmj6Jj65Hyr0v1RgBIM8ZsbapuGM1ccY+LprfX2vWKk9WHYMorFgI51EeakBJa68Yw6mo48NHIJL6nO6oipUSHgErGYQ/O+iyugNFzo6rlxP2FI7uLJuz6aVafRqh914MsYOUx+cbQCqCpTW08tPHpnOlZAqx/intv5SCmBIiEsi0PkJghKTixMU0FwiwcrC2phyQdDDIgJF1qXC9tAwAFHOEtLtk3cKV/o454yJorI+YevlwTxcDBqe/dBaGpjDw+j61uVuXgO7X9zTEjh32FBUvnS08lB1uoI3dWyvNoKpzslqf/Z7MywKEgBiCASZYt7WsRZG9FPY51ggRIaQIF/MeU1XYAIGW6jM0p7Tj+nXmZTYmWe1jTHZ3ix3MdiVFAQ1AqA1ACVHFeDnoc1UBFNv+u+C2fXdQYAAFNzc3WOYFORfs9hOifQetgB4HP4OLSSfta60IQXW8OBSEYOvQOlbFr+fPQAW3ycoX73Z7xDghhglMuu4VwAGIgfn2Dje3H8BSbgAqSCGAydJeTTTWy5UDCsZ7+qmL11Z0UFXbFrHkpWm4wJ5xCjTFFZiTs2rKSBWwj21M2O122O8v9Z7lgIcPrzFNESkx5nlGXvR7KjBhSgHvf/9jHA4zGDtEvsAULpHSBe5I8PhmQaEHkHSN5978SUj7a9DuAcrhgFoK0n6vgzHmXra1NIIoq5W5+tcGomy22Qdvv2dljD8Y+7RP+zT8i3/xL/Dud78bP/MzP4Pf/M3fxO/8zu8g54znnnsOf/gP/2H8qT/1p/CX//Jfxpvf/OaXPN8nfMIn4L/9t/+G7/7u78aP/MiP4Jd/+ZcxzzM+9mM/Fl/wBV+Ab/zGb8THf/zH/x70bLPNNvvwNd3Ae7FdtXucSjAoTuC0R0iXgFTkOoN5AkAmNKoOptKXq0ahqzoxyzLbhswYEwrPQPPiA2Lw7ZU7zwVsEbZSdYNPNQGUQSQmfFg7y8Aj6BZto1IAE2uVateihJbyIdU2bh2U0CisRqm50aBhTtfggDjFevAoPDffT12LGAOAh0v4RtEG5XgqoNf2GjMyTsmR0++akgJzbAL18pBg5WA4MDKwE0TOsQzcodV/ahS2CzyuUlngm/mBmWE/zL2ikZB0hsPRkmoOZjuHwkatVSLmUMcWFRdxRo9T7bUcNKqupJ5dY+FuVIzVgsQnRmAAX+/wyBLxfnb2Dcy56yW5a5UmYHm0JHT+6tHcQmyde/x+GBDq/z4Losj696hzQgaaeepBHQ4MY8rckfXIr4ExAujd9+TqT55+0XQ2ZCizS71Xta6dcV1bBg3ew166X0elm6acOFq0XsMewT9hjQyAlbe/3wsjG220fr/o5zpoF0M8YmCggSbj3I13q9SqwtlSh7VWV8CBVNXI8Pc4xKaPgfHcgrb2RpDTz9NLx69BUAdAj01ZHPXkfRcpHg4cxqw7/BTOlTyHAXrUAEAv/XsGOwQRIU2pHe+aKe0bQSoaeiPOrlEgzwFvDoxIGO5LwZh62L7DRNmIhF7JiI1BGCI1BkoFQYWTCWjpUgEE1TpRlkdQwdWg2icCaBngWlFqxuFwg3m5RS4HBZKYkVLS51oIbe0o6BIBEnCIBlx5AEG/E33tirE0/fqB7d4RfTaN9yFEMM+arqrMlQkxJux2FxBh3N4ekNKEGDWdJ+eMeS5YlgwIIaUJadohTTvk/AIgwIMHzyLwhGUWzHXGkrUK1cX1c4iXb0C8eB4cJwW9uIIQIOTV3tYm6Cy/zTbb7NWzVw1AuS+X8+XYgwcP8OVf/uX48i//8legRWpXV1d4xzvegXe84x2v2Dk322yzzUajI2fh6E07Qjc5RBEUEjhMQAmolUAcwajGDlljBU0Y1JxQSNGqpGw58HZ+3/gFUlaHVAKxoFbd9AoxquuEkIIz5KkIzD21Z2BLqN7JwLawFCFtZLUNenemvL8exVeHtzuKSus/HicCNWFSP4E70dI2xy4qCAmGYIxjv7azAEd/t8+aOyyqYNgABK84Yi57PwY9fWHVZxnmbNjHirhGiP7bnZLz7A11VNnzOAYQ6B5/uUWTe1/XznsTjTSHV9OcrMqM/SYbbwdkWmdai9ZN7NHo9fgeO3/jv9W5LM0xZdPe8PEYx8svVOvY7wF0alVIxlSUIV1ARqdi+PSJgyqDBsu6z3otDGVrT03belR25HgBnJhHjsV0K1QkuV1ncLD9hJ1p5H3r/Co/5Xng5Oi+bP0aU6d6aeZ12ezj+XwaaGZtHRQ7/aSzSfqxw/iLnGm1H3O+vHcDUMQrV3nlntgYIKtzkYDqIMA6XMMBGX/9GAS977kiRwDicb+P2WjtWDq9d1brHZ1B1QRfz4yps3RC0FK8jpXk3OdzOHX7owwl7F1PhQOB2D9T2xpQ8zQnVmFzB8JtDTPL6r4UcWFzBVGc5RHDpGkwrGms+rrrjRSUkpHLgmWZUcoCsdLFzGSgsAq89u5oCk6wZ6hW8XGgUPurmjyw56YeY9IycP2qnnhFbZRKKQpsE6vArFXpKUVQckEMwVh6hHmpmJcZJev6m6bU2FjK6iLsdxcgCshZmXalajWhaXeF6eIZcLwwEXlL22HBk4DTzTbb7NW31zUDZbPNNtvsQ9/ORYMcAGAETEh0gd10hXp3i8MC7MIOFBgiBbANpsf9mwNFHkkU5LIgSNRIX4gIFBBpssiZAJih8b8FoAVEBSkmlGJRZ3Oko11TbJNZparTLgWoS9NMECHUldDoub6ZU0zB+kItqujmkeP1xzslmUnLM1dUFKmos5aEdA0SH9tKHcRxzGV0/LGKmgq8PCcEiFGvV6unhKhYIRODMaE74waoEFl6hrJQHCyjNjfjOHTzMqhKBe/OV3UWQVsn/rlg5+wgyKnrd2boAQPezsyNiAltmoNFBEDFZXNZFLwTQaWohB4xRxSlgTMNG5Dj/q4uNETf+xyvtEuaBgcUuCE2kO5MVFWkObFjxRHvh4/MyGp4KeuMBbEKJbommAF4haFhTBXve6kZcFBPTl87sT6eBGgaAAeEIJrOFAYwSTAwKTrYBB8vqut+n2AlRyWWRnxzJVw8iITWPKTtGJPD2hCYn3qcXw1rd/Kwlrxtrhnka63W3gcQDULJR+eUI5DN1lwpBcuyNLDCnd8ntk9E00GMhcIu7joAcF0EV1qZ4eoAJtbrm0z7hW3cvQ0xPnkLr7pVXn5Z25Vztuf92Ie+IKqlyk1T1/IAOUOr6+D4fa24uYl4W5pLMOaHAnIuIC5wHSqpDAErcyxEcEiI4QIxJKQ0GUuRbPwVODkcbpDzgsN8g1oXEAEpXiBGRuAJzDswJdTiUkaayhiCVvDpClnad5MDtu86HYsYJzig3OZgBHykp4AGVqZMSjvEmAAwSllwOMyWJiWQkjEfDri9uQXHPXa7CQ+unwVRwN18QJEMUAAnwiEvKIcCpmvEdImHD9+M/XNvRLp8Fs6GATRl6BTJ3myzzX6vbQNQNttss81ecfPdzX2OU4MIoI5yAIcJlRJEgr1WETiZI09AcCcRFpnT6GJBQc0aRW20BxcQFZUCRRV1huuCioyKgkBanYY4GBAwOK8sAOVVNLRWpWgPSUFnHGjf6HVHtvfWHIG2obeSlGfO0aJ+bFCJAKjSqlwYHaSxeO71HpvzK+jaJYL1NZ2N0ftZigCsDr8zAzqIQqgtNePoujKe8wxoJr29zgJxQKML3HYzDsqqL09jDnycsxUQEbxCk13C0CeyqK2OmGlJ+LwY6+N+8MTb0H/03+tovK6FHuleV8FZd1jEIvp2+TAIo45MDT/3fXYu6u+T1lkWtKos5BImmnIm56fhhAVwdNTZx8C6zZ4CJNLFKx34c7aF/+1pRqvlJmjjMaZ89EPOtfweAVlv9siOWAE4T577J53vnJWhclU71sU/z4AVa1bTqSgt0Id3nPMReDu2Ds4dpc94+uIZBslqrI+saw3Vjqs1UHlgMlFnuvi//bzjfUIEYxlSS98JIdybRgTo9UrVCjelsXMsvZToZBplADu9spMPpoiyU9SP1986Nno/UnDWowmyigywskBT/djwRdJKO9Kf4A7qeCqN34+lZuQ8648xT5wpRVBwQyo3mFnZIybqGqJVKXLQ3Z4bKzCY2jir5tP6Pu5z0MVaY0wr1gvAJhDrn9F7V0V4K2oBdvs9pnSBGHaY8wFznlHt+6QIUCtQhTGlC6TdFabLZxDSHhzWbhq1dj8JwN5ss81ebdsAlM0222yzV9Se4EidHEfQMrsRHHYgngAkiKgmyRT2IK4a3fOqIY3mDaQ4gSA4LIfOCBAXjw2QupiQZUatGVUOKDIro4D32gqOYHOkFM9QXRJh10MxwcO2v3fdBVhkcmQBtCSTEzDB9U9aCg+MhnxmqHwjH82ZqAW6aS8FaGKj2r7qwESLqnamSfcrjEXh122OaGcvOGtCy2WqhkVhS2siQNONPBo8Mka88cdhwWPHb9jAUwfDNGouZ8YN5pjjxE6dwLGvQC2HFXOlHyaNQeAOoPunRD4mDIZoyVgM4yOs0WRZU8dHZ3Z1KWebYARSXIdlLTyr6Qbn0mMMKPPqI9T1dNrc3eNkn7MO5gzjvgJT0Mou+/TK8NmSizm32hc3rRoy6vL4OnQtlDOTKJomww0EGo5rehUOFPo4OqMHytrxKjitVPRILentdjf21NapCcfvHaeX3Oeof7Dmmh9LWayt/fwCXSfx3pSp07b58LOlIAJoIK0O6f3P4xDCyWsOnjiAMq6zxmc4Sgnq66hroHhbaq0IHGwd63opKFZlZ2TXjSCKpoKAq6WsdPAkhAgRZwau58Z1WJxBU6o+m4m0wk1kZ2C0hjdwhIgaWGMzYf1ph6Kxt7KAUtBUGo4NtGj9N/BEHDgRglRCKYIlV5CL6QoBFjzwFeul1uf5Dstyh1IzBBmg2lJVa2XkhcEBqKwC5GQiri5EuxZbHf/Wfwfra66lMZY6eKJi2cxRwU0iTNO+l1i2SjjLUlAL2ndcFcHd3QHLXFAr4fLiAfb7K8S4x4uPH+MDL35A1ysx5lxRawQQsbt4BtPlc9g/80ZQvAR4qLLz/2gb3LLZZq+cbQDKZpttttmrYi+16emOO/OEB9fP47bMuL27QckLwMDlZUTOB5R8QJgsnlcrYlLl/5p3ACpmDhrBKoK4Oy61KqiSIVgAK10sqFhytghaBHEAk6DUBUwBabqASEUGUEuGQKnxzKPzPDIXCCGGlqteipf1LMqgCQEX+yvEqNfLy6I6BXVs5XrIBIJcS3PvmAlT6tFEdQa0Qgl5dQ9ho/B7yolFPsG2AXYqelGntFaIGKhDMCeewaxivSml1TiKKJhEpM5CFa/q4Gk4nT3BxICLgQbupaBDZ/C4PoN7Jp0FYZF19DQTAM1x6u3qZU17JL4aWHS6XdbKFAUSAgIzWDqT43htMrNpigoCJ6yZM3Z18T7Yv81JEw84n2HkqCMakVIvXetgTuDQGQBD34jI+jxGhLvOD9OQcgNdotSuu46sO0tB11FtQI6PXQf49Bpp0LxQR8/HehyDglqG+8HXAAKEx9fJwM+hoou3abRSGnDZU1QU8Km1wMU3FeQw4ETkzDzqFeiELTWOU/COrNpEIKQ4NZCplx/vmiUjoMCsrIJaSxuvsQLQWZ0O1nEvuYMIbiFEAwAykt/3wzxpltoIHDaahzLIxEecFBwcUh7PWWMcGehQijI3BF3ceOxvlYo06X1YS2fB5JKb4+9jlFJqKTf6zOV2jbvbOyxZn4dXV1fGaOjAbAgEYYCrAxus7AdPdXTdo1a2t5fDXqyCj9SqlXKYEb0CnGMjPucO5qKChBA91ZLI5sfH2NYNqT5KiowUJ4SYWtt7tSBq60tTIytKBUoGgIAYklacigkcEzhGcFQ2RykFNzePMc83mOfHEGSb96WVY3bApVaCkOpTqd5JQAy7VsFHQRllqzjwqtWnFK5SNgmw3BkzJmtFOtV/iaAQAWZIMTF0iiBwq2Sm38togFoME0pl5EUDFLtdUsZnFdzc3KIUMWZMgIBxmKumMaVLpKtnEC8eAtMVQBNWZYr/H4CUU4hts802+3+xDUDZbLPNNnvF7Wk3OkZbpogpXSKnCyxpj5zV2Wej9ksVzSUgd7Z6FYZSFACpg9PQHMcWNfZyx07/R4/ogwFyhxVto00hgCXYRtuik17e1bZjK74FMaqxPEQAKboRhaXDhxD6BlugLI+jIRs3eA1IIIUbCNQraNhukFyElhgkZJvYwSE16gM5YwbHzuvauSUmy5YPK5r9msniQqOkZTdtfMjH0aLGRNwYAoGD/njVDFjJUq5AGZgsNs61OemCUvIqwtzFda3V1Pt7Pq1qGFMMkWD/xNC3flYHVvrcHM8VcF/qRa/ecmLOqsB51giZTkQ1UKn1zSP2jb0zAjkjE0iG10anWNxDPHK6103z15soLcjELPWc0lJqesli2KnH+RnbM6bO9HSjziQ5IS6hC7iODJkqtTFxmNf9FNcmOhFkVuOhfSsTsnt/fG1cZwHHgyUilnK1fs3762N5Hpg7b1VUMNvXk4uPAoJSYKwG66MJwvbqWP5b+u8BjW1tsf/eB6C0KjPSWScOrjlgdCzY2kRcYVV3pMKJbj5OY8WcnqpGKKUi54LZwWRnm6zuCwNNAMjIGvNnk6Ctoa75Iq0t87zYMYLYmHS+Bgdrw0er9Wj4qZX27WvOARQyEVhPafF7sxfMcsCwf+coOGKsLUuBIWONaEUhm+NSsCwH5GVGybOuB+r3bhckd6aWa5WoZphWAXLQrB9HbV325zvb2IzAr+ulEId2He8HgwHp/x7BZSIYWK9tZbbS2AYs1SWbILaydYow8kwIKSGkPcLuAjztAVZmSw+0rOdG1/Yrw0zZbLPNXr5tAMpmm2222WtqFmEKl9hfPIepZrywPEZZKm4ePULgghQi5rsDAAEHAnPS1Ju4QxAghBlMBhZwgBA0mmvVVTz/Rh0T3VhKjYAEhVWMsFAykACECGWlhIiQEiAFUr1E8VHVD+gGfV7m5ly6cCyo0839uFrsXEemVVrXcbJqKRAs6r6qOdIyOk9erpf7RrpRIDQyrRovWUVpK8Co0BSkQWBzFYVXpopvjvVve6+KOSbO9qHm6Dj1nYjVc7VTV6mQ0qt9gBX0aRonowPoJYjFyl+SAV8IECnIeRmi4joGxIxgDJxS5rOOYksLYBV9VK0URhVeOUj951ho8qXimD2sfVp2eDzmvHkEfNT3UB0cguBMpRb7XcoIXhgw1tgKPlfdOT4+h7era/QYAOZro5V7HbVv1oyjFXD5hP5hNc5POvq8qRhp76c6pmO6yqkVehI7ZRA21ZPoLNptFgbn0G1ZlrPr64NN8WEO1o/O9unAgzq3tVZUY3eUWix9Yt0nvf94JYBaxzYdgz7DW5Xqanl7G0YAxV930MTfFzGgrPSSv8qa0WNd9JWZkZeCZZlxe3eLUgryogybmOL5OTozpCPQVEppYM9Kv6TCWHD6m1MXv+3HrsEgEDprSNBYOMuiQEwYmF/BKhopuBUVbGv3iw2laOlhkdJYWlaNG8SiJY4DIwTq2CqAJR8wL3fI+YAqKhgboq6DEFhZPMTgkAAKIEQrUR0wpb2l1Bn7RPybw3WGFGBpz+iWVlqVSVQBICDwZP2KEDBKQa8+186mqUhKzIzWNgOqiDClHWKMSClhWTJyAVLS5wuHCWF3Ca6MpQAX18/j+sGbkB4+D6Y9sFQgyPoRvOElm232urENQNlss802e02sR0114xzAcQdcXCNOe6AeUJYKiubsupMU1dnN2dNbGCEkY2pAK3iAUKQAkqEKswp+UIvgowlVapRZQRYHBHSjaI6T1XXsgfNTJ1qgwIj3Cp6SMQAoft7OeqDVeQgGSIyOugMqMsbyPcpMwyncwQ2AmEigpSqJCJg0Gtw0YjwSC6OYOzuhXbtrFqx29rD+t8ivtLH0yKz3RjyaK4CXRSaow6AR3HOMhXV/9PRWxSOQ5uqzjbeUnvozDCKRmJbNfQ7z2E5Lh2jspXE2jtq1buA91uf0XrHOFjE+c2YbU3d4RgdZhmox0qhG3Wnv2iT2OvU129JgBkbHEXaiDrOw84v6jyvXtr6fG5fhOPEjz43TkwEGOvPX8WcI3Ynv4+HHPAG0ugdQA8t6/YytGNaJr++RoXH2SvTyI+OKJ5IJNjt40fV5Ri2Rl0rBOfl7OL5IvR9Aq+vXRgDlmC3lxziQcQxgPIm1UqWu+sHMCFFLDeth9/VP3xvXbk8DPAJPzLxKD7Oy4XxCfSz9WeBMOU+pUvFWE591dgxIQXVn1QTTBgnBXg8rBoemn/mPPggdU0YlK68cEILrY/lzt6JKRpWi9zAryMw+ns7soaAi2BQ0pSZEMEdtl7MdRZ/DVO2+bgwwAkgBfv9ecEFcEUB1YqJpzFh6VC0gBDiDxQEY7atoig70nLlklFJ1XGIEx4C66PeAjoQ/ZxSgiSki7a8xXVyDeQ9Q6l9xG2iy2WavS9sAlM0222yz18zc8bfNVLoAp4q0vwLKHQ63WvmGUY0BopGuWnQTHgIBwghhDwoGBxAAKShlAcoCyGLsC9uMWjUBhkYNOUTVXGglJgEjryibJHRtgZrdMaxrF6/2MrNM1MAZZjZhQWWg9M2+9/3YZbQEGREFHaQDBCTOBBB0z9g2wu7ACoEkABIgWBREEe13YCs4bPooQl7q178G++6frKJRkXIS1e+MBm21apw4XdwxJtM28b8HLY8gCnI1P8ec1pVf2Kr12HabgRgDYvIIsOluoLdBHSDAK2ycd8ZGZ84ZKO5wuriizcVAe2/jQ7X9+VJ2n7CrRu/PO6RNcxXuUJ8e1xgFjYGiLdbfAyA3NN1TYGqtDVBZ6a94dRMEFNdvaN7LOAbObOrgWAODyERk2/jatU4Ga2zjEZi0AmraUUfHrwGUkVVzL2hFdHbKiAgSzLklL8g9HDmwMYCu+1LMQTw2Z4w8nXWwLQRa/dZz9f6MLIsn9XPs17m/S65n203kYEgHF0cQhMmc7IH1pGlHAytNPH2PViWGV+CJAU9l0IlJKSHFZMevy487k2H8vD9L+nru63PUafGUpPa3nVl1aiqEgMD6/FQQxRlYLqZdkHPubBdmcIyqncTcNDyI2XS0CFIU9Pa2VSkgA0WIVA+VxMCTFDBNycAdglYa0s+UmlFMSB2BFMyIaVj/zkKJev2QwJwUQInKjGEKEGb7TgCg34Ja0W5gmYXA+ix1oWoQYrC0pJj0uy1X5CyIxi7S72G9rgiAKqCo5xMQ5kWBJzIwJ8So5aNhDDuQgiiSQDxh2l9hd/kMdtfPAuFSv4v5qDT5Zptt9rqyDUDZbLPNNnvNzR1YpZ7vr98MZsbj2/diqbdY5gOmaYdgQcRlWTDnxTaz1NM5SB3oWipkqag1Q2pWUVQRBHdKiYEabQOskTOhCgoFYI2TVQNThAhMqkFQS3aawKr1IhV5mRVssZxvZtIIo0UndSPuzt79HrgnSWgFh6qAgAn1kWh+OYGV4dHYIqo/0n57Sefm/FpqhqX0MJFVvhEDCoAevXfwQ/Q0BoSQVX+BdCo3m4MzpkHkZTGxz9oFHWuFl7wksiocTmZYj6S2gxTBIgZiCkhTNEcrwlMG7g4LlmVRoMH0VtiBgOb4nwNQHLDo73UQxWdgBE/GRnraiv84QuGn6w5ujHGFvTyNnXOQR6DgdKyO//b7SPvk89hfQFt/WlnFnE0rv0rEILmf5fDyTMdOarZ1Bowpak1j5MRO50whNmVnNTZB66NY5aD7gQV37J9kx30Wv8Bxq8QBjfNj9PQAytpaSgU6i0VFqVUrRJlkna1xnmGldsqO0TGsFZB6/Dlp+JfeG9TusaahM7BGRraJszNck4Qa6GfPTv10v5L4c4Ox3+8b00YsPalXvlm379hKLSYa2wGUETBxgC2l3fozw3zWYhmGQiCofkngoIK2GcgLUK0yTowRHBgxGOBBbOBFT7UiZkgt+t0BQZECkYo0eSocGnBRERDCBLZSwM6A0b4WiP1QUIYgiT87jXliDBSOycAUSyFir5ijjBUFswm5VAVeJbRlw2wgHcMqhilbxsGZGFTX5W6ZUVy3hQUkylTRqkOMedGyyilNqLKg5Irb2xdRSgEHQa0RVQhxmgAwiCOkEnIh5Jkx7S7wzPMfg93F8wBfwlksija9chV4Nttss1fWNgBls8022+x1YarzACTwdIVQDuB0iTwXlLwggpoYZI8+KiDg0U4NgK9p4x451bQPATudevgfnL1A3UFWmrGVlWy+dAFIGi2+R/1NZ0Wcm7KOsjsjwlNS3PE7Zhh0qcfuj+smuDb/k0aHpDXMnHmyRpFgnbbUI5cKImjvatMB0HHUwzSVyYO/a8LDwDxwtkGLAOt5lHFSV0KUMOaEydS0/pO32cfcKuiIVUuCWOS2pTS4HoT2r9bOpmETHOTBET27yqyP2qcOgrT2wF1Ksbk4i/RYFHatXaCCrxrxDbFX1HHWR5u3o7/H6L22sQs0joyZ4UOr8/S1Yg6kjev4SR9zvxdW1l6TJpjJ8NLJtt49PYd6Whtsrl0cdj1Kvh7G/p6Cj2NDj4GtfsSQEjY62EeH3zNTq7FaNe+e912DZpyT0zk7x3qRk2PP2Rog08Y4++H4fS0ra+wXQruf1+O67sN5sMgqFnlqYhuDIzDQn0HjMA9rdARSHEAR8rQSbqeT9uw6Pg8au8XTlnJW0LvhvudHra3x1obiZdaPVp49c0NgA30FxZ+J4/kGgJnJwIx2TLD7qII5IlAHMbxU7yo9SWBMDh2XKs484WGOI0AMgrESaRRp1b4VyfbsM8akpVx2Ye7QwGhlwVga6qhnYlXVxMdLVJsL433oQDvGuXTmmwnbglGKl2/u40UNJKsQrV0MTT1S5mcps4HmWukH7ZmsDJUqhFIZIezA8RK7i2cR4iWEFGQxSlA7HrCmbrbZZq8b2wCUzTbbbLPXhXk5UQDhGfA+4OL5j8fjF/8v7l4ULHcvInLFg8uIkCIuY7SIGQASHOY7lJxxfXUFjgH7eIn5tiIvGtUrpeIw37QI4hSVOs0S4P62C1QGIlD0ihc7ABmlZKVZc4bUGU7H8LKl0y4YbXtBzmI58Um35xbtAwilADnPKLXi8vLyjLNDIKeZQ9tQShetrKhNK0HggWjVfYlhglBBzQXE6gLENHVvBh6tndqI57ygVygii0BO6oAQNdp8KZ56VC0lqUd8S5Hm/I0sDd0HM4JHzAWtypGbOqsKnBSZLT1CfxRkIuSsTnbg7ixplDSqwCOAIALhgErBRDSVvr4W5vW/SwdrPK2qju+vmSeeggUARM52UHnRwLDqL4JSlekEAaZpAoGOtEfqUC2kwkub9pQaF+3U9dOvCeTsUWIvxT0ANkTILcKuEeRAESEFAKKpCAY85lLArKkTnhKkzlOB1BlS3clesxiICPv9XtMPBlFkL1cbQugpalXp+iJi7ersJvWS1UHStRwRDLisqCqI6/otwz3BHG1pOSDV300pnYFmDJRDL7M7tqGzbjpAkrOLtPa+s41vqyBDZHPg0frOQhABcllwzgjdsfcqYg3FEEYgtPv62FRIVlPldD613DpAvZS4tdvTYlbPFet6LQwp5nCzA5PaBMXEjLUHA2gGZoKnmgBoqS2e3sKBLU0wWKoJo1a7hwyf1TXeU3f6vaDrOybGMufVvLaxI0IIClCUqiLSpah20bSbEAKrPlKbTx1jv0erVEtdAYSKzmnoAASQEMMF9vsLlHwDSMHl/hK1qhaJPssYhKRCskxN3BdE9rw64MVHjzT1pxZMU0KMAXMWfQYyG+skIVKy9U8IpLolQsCSFyzL3NiKDrAToGWojZnBYUIICTHuFOQQwL8DmJX5VkWwzBk5F1QkW8uAoNh86z23LFoueVlmZeGEiBgTtEwxcLhbQFZyOUCfuddX17i9vcULL7wf06RCsaUekMsd5nILjllLKoeEOEWk3R6HeUYuFcuScXdIyCXh973543Bx/Tx2D34fABV1h32frcCTs3fFZptt9lraBqBsttlmm73GJs2JcSRjAsIF0sWz2JUZIhl3jxYIFlSrMENSEVOy/bnm7wus2rHpN3AICJIgVcEPUGpMA7KIuYvTigEIIoJceuqDpxnoRpyaSGCLyIpt192ptNQbPUYrydTq1U2kbbqVLHLsKAIOZLjwrMioP+BAxbGXoQ71shQth5qrJaFo7n8MEcFKS5IxC2qLojtrYfUfi6g6g2BgW0i09rtmxOjMjlH64VyAglWt+oMf7aHqXmba++jjhDZePQKqKRu62S82V9pOc1DFxrv1pwMj0qrIUHtv7bSdenDStvJDFF169Nvp90zSYQeRofu9xKocjftIE3GmgY+PzvW6+o5/yOWGAcGxMCeBrIITtTFgIggzmKtGtpm0UgmspPSqMeetOcyetmDr9MTcaQYacWX9vq0fOfemj8V99JKhjTSyLY7PVeFMC6HOunF2TmNMAJBzXvtxk1YMIW4aJWuR1C52fWLMZ9zB/oqO1Zl5NpAGcOBB11+uRe9RwSpVjo5YbaPFFJUZ5W0YGSgN5Or3RXtXdI3pnHWWi889B01/4TCWGg7tOalMMZuDNmfSxtV/L0uGVGmpMaOArT6Xc9MmEUEr+93Sz3wupD/Pta1BnykQYzFqH2NMCJwAioghgSgi8ASEDKaCyoQqbGCZMzO4gWqO5C15wTLPyEXTF2FC1hRIv6M4gBFAVppXWpqgPp+V6TXew+u1eizcSuRrl9p3Ur83VNPk9u62Pb9hFYPGFKlcdAxrkRaISCk23Rt9rhJSmuDC5MHmuYHCMJYMA0BBqQuW5WD3V7D1llQrBQp+3d5lEF9i2l9jd/0cpouHABLIxkX6jX50r2y22WavJ9sAlM0222yz18jk+G8XRKUdiAi7y+dBJIiRMd89gpQ73RTWBZCK/X4HIsFSD1qe1yKyJKqxwRyBqBFxEd266uZbuo6Cb1qt1GmtFUueTW9FRWRZ8RgU8fQRjdA6EEFEiJbWoGBH1d9gVCmoEtDcJ9INuKYkOD0a9l7fMMYYOzOBqUWCq0X3j1kVGnHUyGzJKhfIYJRScHlxid20szKaXnkma2UFNkf9CJgRUWaJv8RWTrepv8rg0JGDSq0nGJ0w/TwjhmibeH+12v+cpeDgiQmbAivHwc/fARRCCM7gGIERRtd26WPUdGJOQJRzK3MEFVTQ0H0bn5cYk+oXWF+ZBTCByhFk8/Z1FkpPIWpOHhOW7EwjgcgIurnoY2+zak+QgicypHlA9XtUy8Sj0soWYhHIUB3Fh2Jsw1raYz02KgQJhBCb3kyM1Jz3c6YsL5+LDmSdH3+dO5HSxsHTH4Ce8nVeI6YDsXqNPv9V6tAGZ4R1wVE9Rk6eR/e5bzqefY2Odt84BGOvtPUJHm4Pd8bX40Q0glXeTu1PztWeRaMwtfRen8GEppTAYWogcGnpQT0F8cQc+KgKSlRbx40dYSAHW3ndnj6jjKScS3vmEASebeLPi77eBfNBy49z0LTMVsnHwLFSCuZ5Rs4ZzF2E1VmFfn9o2tw43ibSCl27ztjRMrs7gLRsLxvTgsAQLqiSoWXOS7uPNH3GZ13TCOd5wd3dHZasJddDCqCg3x1pt1cwCQHKsmCI8jPAFA0Es2d7Y6L5OhvBSXsGIJgOigPsglKNKWVpqCVnvPjiI0vziYhpBwRq8wMo87Aa2A4IOPh4KkCeSwZA2O32qEVQltIqyhVjarmGDbEC06XMmJdbhKQCuzFNiElZNxULcql4dDvjwcMJl9fP4uLhG5Cma0CijQ9hTDDUmfvgNIU222yzV9c2AGWzzTbb7DW087HvAKIJCA+w2zFSuMBysyAfHqEs74fUO6AuKCV4ujdiACC6Sa2l4lC0io0Krwa0KpYUAakmXqjpI7WotklMAYIMkQWlVfC1iDUJiKNmEVT1AIgqqBZ1yEIEKAOVkPOiLpBVZCilaK4HzKFkFfhTXZAhem38BQ668XU2S7U2oxZzjIGWdmOjR+bE1mJUfhFUElANvXLLOWvgybE+gL+mn62ijgzDHNWjfa0X9alyvpgsEXBKVtDKL9XKHAfW1Aph0ZQcc94CR41QirJPatE0Ig4MqTBaf4aW2QzqiDoY15z2oVXStRqafg1hRIBWDQ+BTDRUmhhlKfrviGQijp2ZMKYraFqXMwSKaYz0tmh0WZubi7JQdFF7A82Z9swoWBUM6LEkClB0v31MTekMB09/YutjE90kZwDo3DHIhEaPwY2XZmmMY+ZjqeBPtesM5xQfbxNBHq8kvXKTDGtT01OmFeOjfYZM9LP1uLebLV3IzxFCZ9C0ZUB6N6mbv2qN/ticEBFiigYsYLVmngQkeVnZvi4HUKRVxlm3n4lBoZ+/mOMPsAKgMtz/Q6rRyc0JB5kqRHLTufE0Ml9fTRPKQTpjcZAES/PS55FX2WlpTcM1tDywIEtGXjKWxUBBAlJM7QoOkpXqgtMOAg0AE2gAQvRpwRwQozIhUlKhU6IODKi4rM27SBuXQFFBBniFtIDd7lJZbNX7UcFB26r9MGFVq07jDBshTeOqVuY4l4xSi66rwIhTHACgs8vBAOCAYkB28bQ3H/P2sOxzQhRAIQEcAQ4oWVCL4LAUTNOkYuUiKKViWRakiVspdAIhcLTvQWk6LQWaohiIUAzQivC0MUbghEJFK+0QAFTMy4Jq33sKYhO0+hChZEKaJtU3CTtURORC+MCjBbkAD555E97wxo/BM8+9BSHt7fuY17fsZptt9rq3DUDZbLPNNnudWAs2wyvGTAhB89d3u2dBYNwtd+pAMiNXTVLRDXRECGjU8VwURCCjGffoHSDGAqnUdSUgHuHuTqs6whaVNweZTBivioCrAJwNaGEQ6/VAfTM8pt80R8fEAZ1qrjawHkQ3vMpSGZxZIoVMXAhyIHk0x6f5G/rHqPGwooe3SL6MJznyk6X7u6IgRx0iuzRszoUH5GTle9PwX+9nb3OnbKuD4JF3MvBEHRluDBRl/ujG3R0hJenUFUPjFACgo4j/8U8HE0bTLvp6qOY4afS/VFYNHRnmdhjv/hk5+WljsmLaYPjpc+L/ljbPvQ8Eq6Ljtwy8IlF3optuDK1TMNr7ls5D3mEmrBk8fr2xmo22xoGl8bC2dr2FBkKOnxP/ezXmTvFBa+eaCtJ1etTq6qP3iafCWQzAwFZY65/IalzPWW9nYF+Ltd+9R3N70ga/jwWrdbI65vgVWxPtvMM57KLtHu8pLAYOnhmL0gA8S3lrFcFEgUefu1UXdN49BY2cmcfcGCLOgBlZJVIzcs6NtbRm0ihYoYCoVsRRVplV6OKBTdL6SyagqqlyHEZRV5/H/nM8jireqrooyswI7ZmSc2nPQ33O2U8DGI0ZN2jUVGOMqFaVjrcDKF4VThmNCsuhfbeg3e/M3LSNWnU2Z+C1S3n/+rptAqvizyEvx84rVuSKZWX/bsW6W7oQtffbs8GFZFtVKD8XAEgrq00kxuYiyxbUdjJFsOm8SCVkAMsiqIh4cPUM9pcPsL+4RquyY2viCYWlNttss9eZbQDKZpttttnrzgjt8UwBCDs8ePhWzHcfwHK3IIWCEDIePfptEDJ2UwDzDlOaEENAXg7I+RGkFhCGzTEYFLz0MUPygloPLfpXTEg0Rra0CM27F6PKX+4nBGagmo5I1Yiueny1RRVH8UHdaNZ1ugZRKyXcbXAGawV7FRsXHXWafj1OTbHIOgJ2u/0g7qib7RQngAiHZbGSnbo5D5ERQCZ6eez0qaMUHbSoQBGLtuYZMUWLxsbmDLaUkJN5pKMz93fOzfkopKmO2dxKTdswWxll3azHmIzq7pVJCMC58pdO4XDGwwB0rBp1OhbOxBEpFjHWFAp4dDi6Q+lVjsiqpwyR/iawWhv9HaSMHgXVWNedgUPu/ARzZNzVUWlhag5TDDAnukfwvXS2s2AADKKlatUoVmLvCQlQAGETAD1ywInIyoZ7P1XUU0tJrwGb4885C0XBRH99AEmOxtud09UU9DMe/d2dvtOEGrUgPeXGtU/8Xqye+iXj+TzN66Q3A8sDKJXafDYA5bQ79sud4NOxvd/0M8rWAPoNVjGCGK3ELZ/RoxnG5Pb2MQ7zvNIX8Xt3x7szn3Vwyeekam2aIwBFmW9djLlWwTLfIeeMJS9IKYEDY7ff9YovVdljNauwdhVgv784AZa8HDIzMKUdprQ7PcZwtzoArPq6AUtWPlf1S2J77fbmgFwyHj1+rEKvIeDycq+AgCzw9KZSq+mYdJZRzsWqzmSEELDf7xFNmJwCNWDp9vYGhADmhBAJHJQNM2on1VqRl8XAIyCkNNxPDpRGY9+oVgskoFRBrtB0rknXxzIfUGvF1YNrE3idsMwGYIUAEU1hXZaiYrgpaYqOiUuHwJjSXoW/Adze3oHBmHbJxkVQin7nEZn+TWAUqWBOSHGPOF0hxB1qYSxZUGrGXCbs9tf4qLf8QaSL54HdA8PuLJ2x4YIdoD399thss81eL7YBKJttttlmr6Gdd6SB7sjohhfxEpwq0v45oN6gyC1CvARTQUoEogxIwe3tDWpdtMJCIANQikYtKWgETirmJUNqBcdgvlK1YDUhUACK1oYRY4noRlp36sFKjhJTq94SGBBoBQtY9QeIijoSqwPcQBRzmMX0WNDSOjR1IQRj1cAdclgJ4GqRVB+mVXjeIptimi0asY0xgtGjkBoBR3OeNX+dANNtATqoQDCdl9qjjrkUrZ6SSceVGSHqdbqAJCvVHB691AjwKjrcHGiC6mG6Q8dN8LA5pVWLG7uGSCutKb3cr0ez/TUdNx7ID5pGIqZbIGLpEOJghI/g2gVWh8z0JoDB6XTHdWSejMyCrrNC0PQP6Rc6WvIOrHHT51iXZ5WhX943a605jn2s13oQPtbjvzu7Q4bzaUWWWmkYi6GJqzEZ2BjnRGS9LSGYg2TKBg1gcJZJ1wDS9AppVW1W0XH7jIMuroWybtl5BofrHXkpZsLR2MDH3se/z4WKjjozSNews0BG5pT/MPWS6gQ71I6PMdp46FXrqFnjg+BRfGuaVGcK9NLnfgIHS9bzqsCKClCPIK87/Zp6ofOr94ZrWJyzttalr5u+PvtrXrmoZK2iVKtgyVoBJudiKZQKOuo6ixBWODBGRoz6sAnh3P03rlVf9Oh/6+JGP6yDdFXgeWmaqVgBsFhFnITHNx/A7d0d3v/C+5BiRJomiCwgBkpZEAMjRNN2aWOtYxZjsOeNpYNKBbE/P6uBvKKC3gyQpRBFDkgx2XeRPR0MnPT7tJeb7+leKsCtTEtqADBZKtIeMUS7p2zugqWJWjnhxoix50Xa7drY6hoBdrsJKU1IUzI9LRP/JWXezS7yC2mgKZPeC17BSiqDkZSBIgr0CCIuLi4xXTxEmB6Awx5AQhfUNWusteG5dHZlbrbZZq+1bQDKZpttttlrZKebIzl6NwCkzgDCJTgRdhfPY74DljkjxCtErtBKvTNqWfD45ndBqLjaTxa91/KsmplAADJECg6HW3DQEqgsDNUfKbpdpaBgRVXlBGcS5KIOd4gWKrTcHo3EWUUEgab5OCObGRSCYjQjgmBOopcKLdU3oBpBZU5KCacOouhG2pksxqhoGhaa+646AUdRYhCoujM9AlQABWobb9WE0R22b67VIaqNeVFqMaYOAVgQY0SCluz0DTWCt69T0RWMGWZ68ItqdVFUBiE2sULXdMk5W9WI0hw210zwiLMzZcSqUqhTGGwsFFgS0ztRJwBDyV53xmTV5nFc3Tpg4EK1YyWe7sw6CEFgCFUDrsyRv8fYU81W1X3QQbzeRLi4pjJcSl+HTdTWnX6f9iOdEfS7rTGjgq7f7k+fuUMFKKX20rrMzVEb7SSdSaoBdXrllp5l404GRumatdZJH8+uU4MG9I1MhA4w9H73fw/sG/I57310P1xZO9LWDJODktQYDkAH6HQNDiAZE6bQwco+0+qwM3Mrqbwub91oKso8cACgVpSls4hGO8c28fMwc0sJKVa5plbV6qhSwEIGVCkj4hx7aJw/hgND46rp5qySJRcUE43NWVkaylpTFl5eatMGqWTaG84IZDLRVgNyh3n254CP0cq9JhVl9VWFoeJSqQJhBXQCeZUsUd2OGHF3OODRoxfx/ve/D7vdhMvLC5RyBwDIZcZ+v8P+Yo8phfbc9HLVzFGZWrqSFTSx9tfqP2LMHCtNTio2PqUEmJ6Tp5QGE+nS+/cobceFY+3vvgZ17NIUtBR4A9iUhaZjUBB5anPsgOu0UzbQ4TBrYEC09Po0TUgp4ebmBvM8q/A3VKx6njNqFUSOCMxaLltFwbAsC0p28evJfgJEIgRJyxVfPAtOD0B8AYGm+MDKFa9X1Xjfb7bZZq9H2wCUzTbbbLMPBasMoh0un3kTpv2EPF/i8Qf+LyoyhCx9BgG7dImc7/D45haXFwFTZBCnI56GixT6to1bYNO3cp4v31KAzGEqqMjVmSTBNvAejfZqFubcmLMmxzoRwIkvwhRAQQVUPSWli6GOVWO8D/XoZB+MjZ/reghFnBmDVhmimoBkH0jf9mqf3Ymfpqk7mObx++9TgEytlNrSpEQqINzKwQZOEANkSskQaCWPWhnLovMOUW0bDjqvzKk7gNYWDuZoSQGzpuMQ9Wo4Oc8AqgkjenqCzqP2bTSdC6vO2l8dHHqiqOdDAYhQPerP6OKWHmU2NkY7N/UI8/F11UdybZ2CzhvSz0gFhAwgGhgLNGiN3K/V8WTTz+haVFFhAyXHNKiXNIJrN+Ss5cWJCbUBKMq8SvH89qyneHXg0J3qkUF1Xg8Fg1YDGuAk7VHgc6DsE2rX8fvbADXTnOhASE/LivFYXdnHrjR9imM9nFJKB8QsPadri5R2onWX7ncyVzo7xjIRAVJiRFDT6IixM5b0fjt/vrXuTn/ujKCZM80kcFtrntJTSgVkwaMXH2GadkjThBQnA8t6RadSZ3ilsSrVBGEVSPN7cdUucq0dA7GM5cWWzrbMBSEAIYgCfhxbOlGVgpgYu33C5dUO05QwTWxt0PaHEJHiDtO0aywOf5Y5I0/XmgLlqGxAuTOBLF2SHRRWFhKxPZf82WpAHIGsrwY+w1IX21zr37XCnpeujM7t89zW0TB7Q/liTykMLspdgClO1r+IUgSPH92ASAGSUg0UK6W1jQ08ubi8wM3dY8zLjA+8eItpusTV1TNgmgBJCLxDkQiqEfvL5zFdPgviawh51Z37nnObbbbZ6902AGWzzTbb7DWzJ3hdaz9JI73E4LhHxAyiAo57SD2g1AVspSFDnCAoqPXOXHyy94bLiZeGtY2rObce4lchWIvoWcqMb85dn4FhzpyHr8UADwn20+OkZ33Vls4AwNNARKzoRNfo6IMxOjFnBuhlmjTH8PhHCws7vWNMHSAj3oxtOBZNHfVIah3Bk3NGfpYGWzmrw0EtWOoVWnWbYVwrGl1C02SG9BUxjRnDI1ohafI0IWmRetcUaY63KKNAo7aE0wnU+RBat8edXMsWgYN0yoCxCktgCIfBieejc/RztR8CUAn9XtAxdQFLXTPqaFqX4Wln3qcRVPjgwZPTf8vLOl+HKQGvAAMFzMSqy1RBPGFFjMAUvHcDi6mv5qGFw/WOW3AM5Bm7YABDqQGEI8tEDBR1UVcHUdaAFK3YJw7DCDCk4ng62krcmVhT9VoXhjGCPpn6SNxf4WVkt/iYMXfAIbDrwcDWZoOjVmPd1/M98yu+zobrEOljUBiawUWNIZZzAYcCLhUpeoqd6xX5tR0osH8L2rnXNqaakd2m64M8lSawH++gqjJziAUhElIKmqoTCNkYQg4yhRAb+0Pnepi/oXEtBYzEmClqnpKmukTchFz7eI/9sckY7/0GDnofbc2Jr1P77mkjpufwp2L7bhmGxrAba5/2MYSoz+xSUcRYOiEglwWlaqW6EFRHJnBoaanLMmOeD8g5Y5oIKU42p85ADOAwIe2ukKZLgBPEa1mP9/Uw10fTvNlmm70ObQNQNttss81eUzvnnJ6+JOaAEgfw7gqcEnbLAcvdi7h59NuInBGpYHdxgUkiSg5gmQHJaOBI7WwOph0IBZrvYZehakBL1cxs02Ugq6pTpICqgKXYJjH0dAcxfYTKgEwGBGRjBJzptVgsl9xZt+2wbyxX6QvnxmYUunz5u8zB/W0/gqJaBiVbAzvzxR0wgDtIUmEeWO+T6zxU05XR02gU/bzOKCHGyd5PiEFLk8aojmouszFCIjjEIeov5gX4OAkceNHKHlraWMUTe2UMT5FwWjoIkKJVSKQpGUYABoQ9AahqTRj6AqA5dgq6ka4rqs3RZo72ef9w18PQN7oj5ak3/TJdw6XUYt0fnKSq+joEIJvGjmtcrFkZhPtYGveZV9xR3RxzlldaLW5nquSM61VsfbcS2msjE7z0drYbyIfFwKPqaW8NjOz3zFD9FuPoKZDkDAn/jP5bdSkIgpFa5Kly7uSZiO9TAZcD6NVAH2lruA4Aio6nQOApWKQipXU+PScIMTjQuAaJnNEygp7EpkdDsLLQAmYrjW1A23gf0YkatIMFHaby+6ezUGwMg4Kges8KYhRL7dBDpAIlV0gyVAfB1nPBqF/iqXEhPBmg8znuhxw/D06fo0s+YF4OEFGGym5vZe5Zq+8QVLMmxQkxTGDSlMy55NU96/eCP9dCYJNcGUAxBMSgzJdpSgZUSAOV9NmqQINr8FR7tuo6JAABYLFbRUs/l1IRw1C+GQChNqYOiT0HODTx59WMSgUTYb/fg1nTdPx5IVVweXWBEBiPHi8ouUBKwW7aI6UJU7pArRWPH9/iAx94EUueQTyBQ0JIexBPEATMh4qw2+Fy9yyuH74JYfcAQvs2S5ttttmHrm0AymabbbbZ69I8ugcLzlolD9uwCxjT/hpMQL57EVIqllIw7QIArZoglVt0u1GkHRCgANdh6JVQgm5Cjc2gzpLloLNuislCgl6e0vPVVd/CykwimIulzknFGQdgdArINReolWGuYrFy2zR3Zw/ozjZ1Z+fICVpHMc+BMd0VEvRyomKisb7Dp6FtXTBV2T7FYuLc9DXWlTi0IlBFrV6pJZxcHfBUAGUlFCpG5+9RaA/KRo7dAW1OotHSBdBy1Fr9qJSCZV600oRVuIkpIIVg0WLTiWlReU8h0THxSDOaM/SkKRyjqc5msKgxAKe+E5Xu1IsJ2q5AIPRzOKOpASmAgifoDnjVSjo6/CbW6nQCYhRPMRAHTzqQ4pV0Vtc8csZP+yvtkA5aOPvAY94dcHpiHY025spC8PGnptXQkAe09SwARx+PHlUX11dZ9eYY5DjfL61GZP/gYYzg0f/TajyuMyPVgBUiSB2BRBnQm+7hO4DiFW1GJgOJl9Ad5+XJqVYdIDoFUU6OITLwxM9r911jMsSjz9wPHI7XGefJWVddv0Pvp2iEPKlAiFEFT6EAoOTZ0mEytLqQPXPY1oeJSbcyv0dWV01cgzyqr8IGIHYtp3k+4O5wA72fXLdE2Vu+JmPQtBaigFws5axkA9I6+9DXoQq0KvjCHBrYyBQRQlJRcwNJilcsEmmfHb9HXECrPRd9jggARcPz7DtqqNCls9bX5GpUjtaRV20KptdVa8U8L00IuVWqEmr3JVt1LxBhXjIeP34MqUAME/YXDzFNFyCKCHGPWhm3hwVXl3vsLx8ihAlEUdu6AlyfknayIS6bbfa6sg1A2WyzzTZ7nRtBVB9EYCV6CaAOoBziJZayIJcF0YT3YAwR0YSUwS0yAIUDaqusoxt99o2sRWGVXKGbeqbQNvFStTJBRdXKEe6cmh4HUTTnugsi9uj76HZ6/wwKIbK0EvusdIdHPZBxU2z0eijoc9YJX0Vgh88Om2kxR7EWA1Gq9c/8lU7zd3FarQiB5qA6iGPgjukWlAFAKSUjxgAR7k0bBsGrQGiaFpQhUGN3xs0h8ChqrRo91Si+AKWoQ1qc2i4ouWBeDmAilMCYclRtlGTVLtjBIWqVhFi681qrMnKGgTqx7jxSmxv3nRVkoia4qxVdxtPZOh7Sd3o6Gdm/0V5jJpSif3tlJDEAZdTJEXPiFBxUAM/LpTaQg6iVoF33bwTt7ut067z9qak3x6b3jqfEoDEQ2vvwNowAiou9KkC2SuUwNgWvnDAfc+d3WMpUAy28LQ786OS09CMBIArYoTn/Pltoc3PsfLZ1iGoOZjUtDmmw0fGAuThqT91Zp9kIOvPj5TGDRqCm4ix40t7v/dbjnOFAiCHh9Bmyxnmljaf9254VvZcOtFpqjpAJSuva1hLdXmJbIDWbyGxuKTXMhBgiojnrMUbUWrFUL7c+AOvAOuWptcTTDbuItILSFblUzMsBd3c3pldjz3TROQrs5YIVQAExSs4oVsVImSpk5ZDR9Ftcw0bbxHCZE+Zk+iKp6fsoaDPMk313kFc3GhlmIDg4rre6amwx+fccNWaKDP3Xqezg3TEAoVXElGUzLwuqCOZ5QYoRu91uuL/smR9Mn4i0cs5hyfjAo8e43CVMacLV5UNQuAAogsIORIxcNM324vIhEKYG9hzbho1sttmHnm0AymabbbbZa2pPs30iaEUeNqHQajvnBXGKePimiJsX/i/uHv8ubu5+C4SKFBgkAYCAJYNEwKgQqHBlSkmj+bNWd9FKK9TE/rIzMYjBiNDqAtDNrKMLNauYJkHbY+0MNLXqJEABqEAs0qlOm25yay4q8Bctoi2EZVnQHejOXXEnMRsDR8+vm3YiBrEghXawttfYM2Q58dJKypoTBcKyePpINBAnYJosyil9Mz5k1auzaF4JEQEcEKKKLFan4RNAQVOTwAkCwVIyvPQvrD21COYyQwSIqJAaAdJSROSaATa+xVIrigl2IhCkFBt7QUUxEc4KTsA+JU2IIILwglwL7uZsrALRiHxwRoFWGXHQoQFJzS1xdk1tzlgw4cWlVJAAkboDjuogk3GRSBRYqwWlLLbsnbqvV9CqJZYaYK/5XO/3O3h532BCna0EqDRXp2u9QKsa1bP3l6d/HN9j/iMtgt7SpWCgkM1d1w8VMFctndtSfDrgJsKqqlM7aEDs61GdbBEgl6L3tQNp8Kg8W4UeXXIcknZYFrhjnrONk4sCt1WuFlIEg0yY1KqjuB5JVXCUQ9D7MKjGQ62aztZGxzEWoGnP9GFjI6xVSC2DI+s+LHXR0Wr3X9PScAysV3TSz2naTbD0tj5vOjYh7Yz55SCTQEtlV9Rc2vV7IwTLkjVNYzyfsaPSlbVBPH0E8HSxJc8tBQ7Qylyl5MZwArwvAi1tDnXCj8BbB2tFCm7vHqGWiirUUutS3CkrIkyApbLM2csiC1RHyNKPDKQMISEiYFkqSlms6pCCLWm3Q4GmUlLJkEyoJSOXZRgaRtpdKFMuC0ARIe5w/fA5pDQhhqQpUbUgl4NWMLKqOgpCdMHqklmr7pTSAIqr/TOIISHGCbUCWbS0sUiBoKClDQo3EuE8H1R7RGYDgSJiigiBMaUdamWU2tPnQmKgZkhdcHd72wS/47RDjAlTigAIS1aRXiYXm9Xn2N3dHZZlQUoRu2mH/X6vwYU5272o647jhJB28Op4oIjdxUPsd3uEcI1KO5Sa8OiFAyju8dzv+wRcPngj+OJ5UNxBKJ48jU4hu1fPNqBms81eOdsAlM0222yz18yeckvj4ITohrdFU0mdtThd6c9yh0NO6kRI0ZQaYXM0y+A4jBRqE7AUaSAKUQcCjDtgreXmHCkAIXCnr7pGix1HtsG0o1GZQJU0ncear+kVDoKYoz+G6nvQeBgL23A3EMIADelaFxqVVCE/AlsKh55wFU03Z1WEVo4befpSa8tJI/THvNpR/LCndrjTaWkZLoi5Ij1oGssIUihrhxqPgAyU0L72CD4GZ15sLbRwtDvbxD0rgzxlxpxL7wL8t4m5kldYQUuz6PoBMrShp1VVEfCYzgBzFh0Ig40zevWWVWgffW5Gh3Q97j1VwFMcWLidZ0wl6EuFxuFeva7XOHrjTOC6vSUCOjmZt9XSLMzz1nOMMMJ63EgI64a5RobYuXwEydhf1hg+asARPWLdnaOa2a3PPrnWOsc9vd0rvRW/HrX+6Hqh1bh3O98vsus6KNWZZD09rQGhfj+1yP+4TeX2OWfvSEv18/vIP9/uwva3VsQZR8n74IPQX+1aLcYyadl3XkXJftrjzFMcYc8iffaM59W0Jy/jXFCkoFZolTQeUliIGrDgVWNKUWDU73MSatV21ibrnyFtCejstZRiW8/MBAgDQZCmHaa0Q0qTsRQFS1bgqdZi7Qwr1kmbLwQw6Tp15klgPQ+Etc/FmCVSh7YNY29j0wAWkPUblrHDYAQIsen8kC2nzmyqDuJJn1cBOrh99H3jP00cVmDMQSuPjnUKz5KV+aYsnQRQgkAr64gEgBIo7DFdPouwuwKF/ep5vbYOzL+aCMcGnmy22StrG4Cy2WabbfYhY3T0GxoJCxH7q+eQYkTBLfLyCGXOCE2LpICONqk3NzdWsjYgWDrI3eEGRBkhLLpJB4bPEY5FRXWzu8DroGp6CyMGy/8PVo1GVC9FmmfqDmlpzrA7T8zrTe2xxaARzyrGkJCKXDV6T6FqOV+PZjcGigybaQWT2vAN1RC8MpH+DZAzfVZOifp/erY+HhqVd4e6DxlBNUiqOcjcHES9SCWx9B6tlsGW2u/XU6aFORalNIfKSwFXY+aog0HafwcahiojDqqcgkF9PamWRUHJmnaUSwYA7Hc7g3a8RKu5hoNehbePjFofEhsoo/2WWrHkAkiG6rScamvUciTKOQis+pgxm/NcFZrp7JA1CAZYieFzvaV1VZ4+aQ6IASEoy8TThsbzt/b52NlarEXXgDebiBW0quvUlbrCNpx1okCMl63VlVNtznop8ZJ1Toqlb61Bq9O/2txUBzj1iaBsHgJCZ0CMuiohBMQY2ufFgDcRQUCvnNR0hwFd47Vfsw2rqL5Q65etzXEImdwxD6u5nqbYDxqeRVOaQGCUUpFLNpBB26hrE0fWQYl+vnG8CBBqYEX1+XRaxJnbxo9zcFYbrc8YpnMpQQZ+EGkKneg6i9FFcdHXggMtIqZbMluKj56SROevwudFm6hMGT3RqNnkwtdMhBAZKUUcDnfKDMoFHAnTFPDMw+eRkjI35nnG4XCHF154P2otSBMjUjBR6mTnZHv+q2YLDGhIlgJESKhFkOuCOc/IJUMk46TkNbnauOjfVBDYxXhDH2NihJQQOWkBeSnIyx2kLJCyANDvALHvIgaw1gjyMenP7hgTAE1jBIB5XjDPs5WXNyZUSIhpBwoRN48fAxzx4JlnITUgZ0JMDKGIShOun3kz0v4hLq7fBE4XQNgDLQix2WabfTjYBqBsttlmm73urYMW7e8hugYQKOzAU8Xl5fOYDwl3ZYZUrZwTyYRSxSqHCGHJpVVP0PQZBRukZiz1gBiDOeQqNgshCKrzIoChhK1oqBQgdSAraVSX2EGOzlgQIaA6s8FKZXJsLAdyGv7oZQ7eS+AxomraD1IBKz0sUI0Mr+rD5OyPc8CBl249vQ6hl3pum3ozBy1UtFVTaiqNG3OfKmOAMAGVUOso6qiHsKVZuXPTRESBxmbx1BnXPCmlQJhtLrXNbI6bDCANMTUgzD3K6lF6qyDUNvQN02Ewq4ZNcAFFijqf5tz31AsHLLTFpdbG4CC4cK6mBilpwYGsI7dSHCwiS81azxUN/dT2WarQSQWbtcPqIrnn7CxAJ8b7UQ8MbLoqDn61sVyxG2D+taYNjGPj1YJ8PYuJp7KBWR1kcAfdrm/OooNf1KLvBri0uTL9mhBWY6v3Z23/9Pd8XFt5ak8Ramu3P2cIrMBfHbVLhjSuNmbohBJ7Jomtk1KLpep4BSNfM3ZfrqZm1BJyAOw4at//dgHYXIppDekPwSrhnHlm8orRsl4nOkTVNEl0vkrWKk8hWCpaw/YciPVz+HpU5kXkBKYJK7ag/RQhAAtiSGDWNaHPBLYqSGxgiD8Hs/2owKkybqKB1dG0SJQxyEwG1jmbjFsaYAgKEjDVRiBykdiQqJXynaZdE7t2UMqfQy66GjjZd4WCSOxloSmCg4InMSrAsswZy5JxmO+wlNlS/xSUqIg6jgYSwp4jYowTbVNC4Alkx/YqbYBgQa0ZOR8gdQbKDKAMqY/KHqmWkiXV1zsjcNLvilIQOIJSsPUuOCwHZSoJbHyDPRMZtZKVftdKWdm/3ziCww4hXuLq+lnE3UMQ7RRAqqZFs8Enm232YWMbgLLZZptt9iFrJmQqAMIEZsK+PAsmxnx4hLIcIJiN+TGmqhByqeDaK9+4A1MFyGVR0TyEdjya5oQ7JEeRVQuBKj5iOhCuebByvjqowh4lHHRBtJSpNHHGdv7G7qi2iTZad2MhmL4De6KRa6MoeHEUk2/tcbHcU7OKQ+2HBp/Mq3eUdXSfvCSn/vAQBfbItJb97JVWmrYMjhgUlnZxDJ7UWk1gFJ3RA48ydzHddUrSyTCqqy44CdWrs6AOSisJSqF9WDGl6jWohxN7ZSZfD7OKNKbBKTZw4TgTxY3ZHFUZx70DNX2MuTmAbo2eL53BBOKzLouP6TkjjgZMAS0NqUpLE1if6OTMGNdprQS4/snAGBF2cOOU2TCuhTaH3NlE7X6HMWwGAGXVpwZYrcEiMmfXnVFlCWC1Xpydo+kkqm/j+i11uJ/7dXxcYQCAHVukCf76udvzRKgBifCxsNfR2nJf2gMshUZW4EkpytTRKjcOXHRjZoQz296e0tUr1ZRSrQw4KfiwulesnRjaafd15EnZGSsAxSvodEnvEBNYVAvExV71eaufcZ0aB1C0zDEwajtphZuo49qAu2DrTlChz9fAwargMIQtRaZWA1AIMSXEmBrooYK3HcjWeaWmR+JgTK2qKxOiag+FGBAoIsUdYtRzH+odcj7g7u4xcl0gqJimyVh2EeM9o2tJgUgQGgCr1zsqqy7Kfqx1QSkKoEhZEGyNhcANSK7VgT1jOUGFzmH9Y1YWJkAoZcbhcFDQGMrCYo4gjhChpnOk7SOUdh8kcNwh7i6xv3wGcXeNQgkiAdTEuTcAZbPNPlxsA1A222yzzT6EzQLXuiHkAL54FpEjLpcZN48WLLmgUu3OCLk2SEQtGXeDQOJut0cuDJA0VkjgpBt5FFDlHuQewQFR5kWj69cCKQWHwx2ICpgKSiuXWVtEfNrtGuOiVVWQ0tITzvU259xTAOx3Crq5nZc7aL56Z2AQezR2GKyBQdCduDWdnIBW3aGNtIu1kqahlGJaBpbqQkRIyaOfWu6y6XVUdUZPwCISG4OB29CYNBVk4ptVBCVbqsIgpNsrqABjSo2359TLP93Edz0TLX0aYwDRztKpgMNhgevkeHniSusUGE/zqFaR53B3hxAjyKqKMAfEZJolpk8zpugMC2tocQemRmsMiqG/CtZpakvzx07xiX6Nev4dImUvVSuu41wDEUtRGc9I0g86arn+beV64YKZnYlF9zZOwEHTlFpFF5tnJk0H886Jre1iAIqn93gk38L0mJcFpVb7rDFA2CLxIbTI+Kg70zRAioIKeSkotaxEdVuPCXAxVmV4FEtpKlb+thobQICggJ6w1s9ykJBwguU1TZlzdvP4BjmrRkVn8ii7oW9tffbUYuQuZYLjdeUpic5CKZjnGSlFAOlMC8gEVDWtUMW3GTHujRkypvC4013suRAQo49eFw7moMAIGuupokqGoIA83TJEpLTXSj0xNbBnybOm3eUFy6LjcnX9AOQirGEyLSYVa86SsYtR11ZkSNUqNDkf2voUqUgp4plnHkKggHdKCSFElFyxLBmPH99iv7/AbheA6NXflBGDWnCY73B3uMXd4TGKZIAEaTIAr68gtIptJICL5YbJfnaoJQIIIAFyPmBZMpZ6q+MjM6RkSC0IceqMKkvlrEXHX0HQAIKyaEotEMmIMSFw0O+oSpgPBRcXO8Q49XFDwOGwAESYpj3mOePRzR2K7BBiAtIeYf8A0+Wz4IsHQLyE5ADC+pm82WabfXjYBqBsttlmm32ImTot5pAMkVANi03guEfaXSPcXSAvtyj1DkxACgHA0jbsYgKuxvkAWYRWsLPKLM19tNM7DXm4Jml0kobXOgXda7D4i0Oo2s8yRnXtt+qoxBZtF2O46DltBARwXslQ3RhNjHJwCqunwviPOYotVcQi7N42dRaAMOij3DsXqwg/IcbuiBEBFSp26teqVkHHj9EIqAEqbE4FkenG2PgYI+XYPW+CteKOv0fsB3FJ6eOvaQjSnVnm1Vyc76qPmjq+rLwaCHVNDL9eSxURUhHjSiglKxBnUWGIgRdH4pY+V70ZBk7Au++A3XCEj/vAcOrrRBqAdTpnnTV07r0RNCOStr6c7TQCCJ7mpWk2bMLDAxNJh77NcQNPrGM09Hit4WJrGw4iWLFu8fttbIN+rqXyoPfP+6rpQwALAOkaJu3+sn+0tTKwTZxF0nRB7HgV8DS2koEh5KwfqpBWxtmEccmfJ/qscGZKw8KcqdVYKpaeN7TRWTVa+ldLPZOhL55G46kbPsbH83uSskSq0eL3ow+NpxCd6t8oGyMSALgeCCOGoKk5llbTBG7bp/S/TXjVPu9gXlWhmMbiAQReOr2xKpo4rQJgykoryFlBslK0qpIDJ/6jzAutxOTAkphOVC2mqVMGZpQ/v0nXFYD2nSBVBcdrGQHOo3GuntJmv1WxZPym6jgfLG3H1q4zzFreGrzaT0ApBYe7O9ze3QK8KNhNJko7rEtdA1Y9hxhiaTiBlbXTSq9LT+txAWcRaswX5qCAcUED50MIEFTkLAjThJguwHGPMO2RdpegkIBWlvx0bDbbbLMPfdsAlM0222yzD1mzcq6W9qLO2wQOhN0VMM83KKXi5gM3mCIw7feoWQGVXAKYgJgCiKv60iwIIWGa9r3kqOSOn0BTLPxfTO7gKgOFPFXGnMQYk4ET0kq6kghkiKKfsxijlqtsjlyxsqoFtWZArG1UNVppvjAzazTRhGZFgGx0dRec9Wod1fQo9HVjGPhxVcvS7ncTTsvddvfa8YdSXONBTHhQS41qulF3gABBnjM8lcn7F0JEMD0YDlbhohQbwwgqBVm6lolrn2RjAxABKSndPISIUrI5vKbJUXv6RbW0LRX57dU0ggn/ShUrz1pMw0N9E28bYE56FnPaMrog7FrzodaCZTmASICYME0TIIJauuPaARpYpY+hdC7QGEKlFNNyUMBCpOtfeEqTr8Vxjs6ZiJjzfX7t6YmcwWEsAUUJ4FU+3HzcQISUQptr9Y+1ja6NoSCGr0M7JWlljyYuTLCSv/mMzC40/cHvm1UaCYFjNNbHKKxaW1lb1VpRR5pEwaGMY3DAzJxprZpiKWQmmuqT46LRxKS6GAaQqIBnBbHReGp/coShqo7Pd5ySlVKO6qzbOtS0FWn3pWqqdJaIrv1qzBfqrLng4qZobQUqFquswoHBcKFr/Z2XuZVaJoKmvewCQgx9TZg17aaoTj2g11Xgd4Ky8bhVnOlgiMIpDvg0M5Tt7u5WwTYKIBOU3u16GWcRd/K9UhOQS8acD7g93AHQMbi6foiUdm1tUQgQA2WXXCCiwEQuBFhJZgekrq6uVEtFesUsT5ubpgnLsuBwOCjLRYCUEmKMbYwUsNZS96rvIgiqLQuGpipF4lZG2D8DyQ3SjnEy8I0hEiCI2O0uAACPHz3C+973u3j/+96HBw8nxBSQUkRgZWd1cKlXYQtJBW057rp+iwBSnQmj41TL3MCTKV1gmvb6nMkVec5IVyqu6w/+eTnguWefw/7yGaSLZ7C7fh77h28EWL83QrRUsg0/2WyzDzvbAJTNNttssw8RO3YOG1jRmATq7RICEHbYXzyLQECZbwBZcDhUBIpgnnB1/RCl3CEvN0gmyllyBQXW0hBCANxh8sjxqdPp0V4Wapoc64gkGZihKRvkbAFg5dwrsMFo6SQkVpFk0G/wiH7rvTu3jUih52OPkitowKQiicWi6DkrOFBdwJEAVHXGxEVqqcXOTydC2n8aEOFR9tER7hUw2DQwegpT05KoWn3nnLWUglE/Q1zQkRuTxce5FAe8tO/6fp+75oxS1weQxuowpocBO85aEGcXgNBK8zbvfwAXAPvbmAgefB3YKSq+OKb+SLvwyAzwyexsCFhbeolfB6HaxA9jNmpajE50Y3gALXXsxFagTsWoX9HWaYvi6z0iMLHgAQzSc3UAxnVB/DeBuoOFofIUanPk1zAQrcbp2Pwu9UO7zg4AqBA0t6j8avTvMZ9jNGZHF3ruAByMacPGFiAEQJR5FiOBqz9zqFXIUgDLx5a6s2uCzq650gHOgS1m50gp6lj49U3wWkHdzuTqfWEEVtBH16a2maBMBO9fY3HZMMUTAMXuJ2EtP0yhMU60/QZu5kXTa3KGWDWlEByYqAYOqcaJszlKUQBS1Uv8ntv1dUtR+2ipQ7VW5LxgXrS6TeDQ2qHsh6AsE2FUF/Mt/avCxXYDJ1AKiLGaDgpBJKA2ENWqQZE/VzqxgpuGlNjzoRrgnVFKxu3dLUpZTEtGgeJoFXrg97XpBOmKEAN2A6poaeDqzJBaMc93KHUBcQGRpqVNSVNldB3pd5dUgjS1Zmc09edHKV6K2kBvY56EEHF5eaUgPBjLsgAgTNMOIoxlsedxCUjpGiFeIqYrXF0/h7S7VvDEmYsbcLLZZh+2tgEom2222WYfykbtP3Cqv+oyJEz7a8RAuH30fuT5Bsv8yKoNJOwvrjDPwDLfqsMLAx8IpvLpm067DJ1CCcdO23isVu3p7WuaD0QmJmHgCZGCC8QgSNvcl9FptYsdaxYcO6yjUK2KHTgN3YU2C6pVSinGauGQ1IliaY4fWilhYNTpaM67t1M7q46loDli/adrVxQ4iCCrdsrxoB5Zi/43oEk/4M7eSo/Czr+u9nBErfcUDwBk6URgGpgf5lRY1B+AaWeMYy3NmToFDRQA6WOA9n5LkwLWn7FmEoxdA59LtP5pudje/5aatcZIxiV7vw1gwMlbrW0DSDQAIQ6GeOqIJUatx2boo6cTdeZJgQul6rqxUt9Ae9/BvfXYarrB+hpn5pYI5HokbQ336kyth3L06aNBEzIwCiY0fQSegKixRcieF2TaSjAQMoIgLChUEUMvUV5KBSHDGXTd6ffRt/vEWVTtPu7MpWDCxqv7DeM5Tu8BoqBVvBwAaO85WNHnxP8dgjOvhuNF00rIgBP2dA2voGMASi6L6dLYfUYOZDqYWpCzlgsvuahuigtkiwIfDQwBmdZKNIaLi92q7okCEQ6ghAZKaZsMwK1iIKT055WJ3wZb6y7+quAzozIr62+8H2BsGvFUNbT3de68Xwvm+U6ZKKTtjzE2cKID584K1PtAWU0RqAqgiI1rlYqcZ4hkcNDnARMQg607BGh6GhvTrs+viP/WVuaSmyBsqzQkKky933FLWyqlIoSElHYoVVCKYF4EFQEp7RDCBUK8wP7yIShdAOyg6OkqPF6Pm2222YeubQDKZpttttmHuDWmxOjUCoB4BeI9HjyYMd9+AI8zo5bHQBGEFLGfLrF/PuD25hFKzkjTBBEgL9mitAJKE6RmSM1AK9G7ZsI8nQ1im0Ed0pozUAQcYAyQIRpYnc3geI7pPijSA3j6jtHfdSNslH6uoOKONzQSac7EuLkFKpgL2OjtIGWE1AqLpo6MG26fIYuaEwkCiYrBmtNIVrmIWMvAepqAU9KdCVJKBQVn23Bvn7ijJe24HqFGGxN18Pwa2h93NjUS7k6/I1vOGqCewmOReGICPK2kMS/8N4yCMDjz5OyBY5aEH06I0aOwytLQiLQyBkI73+pToKhOYyle/rag1A4smM9nY1ORa16dQZ4y6Ktiv6MwqAzvHffIxoGkpceoiK+lZ1WDq9gcX9j8WUM66yh34EyqERyOAZHxmuM8jPNoaTFjT48YKcSMaGkkIoJQeSXIKsNUHo2M/fcIgiNGjLEDeHY9NiBF54St2gi3dQXWdK8QBNHW6bIsYFRUEGJQYWWtdEKti7rus6XuFG2NPwfaeu/r3otiiT33ZDUcdPqniDEylLFlvAqIz5uBAoG1lPt6qPpzxAGmQOY0C2GZD8hlwe3hEUrVFDdNrQuIYbIHUm0gWRFnXwhAGe7wR9prZZxgQtuigBUZGFZrQS4LQmRc0A5EFwhhQoqX2O2uEDhhyb5ueEiPo6aREkIwTQ8HZMlANz0/Myt+SMVArAyiquCFPVOZdQ6zzNpya9dhvsOyzLhb7hBCxH7aY9pfIYaEWgm5ZCz5rn3PKEgXLJVrD1BUMASeVrhApGC3ZwgSmKemqVRmwTRFpHSBeRZIIWTxCnOMLAUhMfZJXZ5aBbe3tyBmTLudPslqbWOS0g4lC0oBKCRNLeOInCukEqa0h9AEoQkpPYMQHwDhwlJ3gj3nYSChA3RDBaHNNtvsQ942AGWzzTbb7MPAhKiXpW3aCBEgRthdI5SKEB9ByowqGVU0ZzwGLTvJCPBc/SpVtRxhzjUHJZZX3RDKUGq0lXo1J2cgHHQjj1B7Y+2XB0LN1/dSnFIdDLGKHYGOtp40/O6shrHKSRevtEg29eohLeWAPZXFemDdYPd/m5PvzquMzYcLiGokvE3EOirOXi62R/RdcLaLph5Fy9v4uP6Dt917RY2REaJfSx3bURx0HH4ZWAmhpT30yL+n67imCrMMp/DoM07OfWo+xujzZ4CHipgyhENji4zmjjKqOeZyOqddtHad2jVenQhPbCNZCtOqb6vWn4I7AAbW0DDG91CIyNvV+oDVT/W+yHAFv0+YQS11zn7J8T1wX9/8qA4wgKD6REM6TANdz7YcDbNR5pmCchDXWdLj9FGzFsLt72my0CqtrwF6+lyJ0Io0zJ1Jsi6XbKAeOatqZDWN1lk+RKzwBg3j50cdrZ0Vq4utitjAnCIDa2pjTnkfqj1jPW2lr42cM5a8YMkHS9fJtkT0nBWuoaNzrylFoSdWEUBQ1gubpgtRUOhMBBCrylULqhRjgCjjxLVZWl8bqHTKXgvBz23PeR9X8eTH8X/oa96AerL+hGAljw10UbAUBoC5/g+3EslaZlk1V5ZlUUCXCSFpehKFCUQRQr2Sks5tAUTPz4EQU0QgNjCIm1iuAtQwUE2Vd9ie85qOZCw9+wqjpqPdWYMgMo0s1URiCiZEThAwiCeAJgjtEKcLpOnSUnfi8H3oN9EwbhuAstlmHza2ASibbbbZZh/y5mCGbr5bGL0CACNcPo9IEelwh+VuQcka2SfbrF9dPQOpgve/8LsQyQBVJBOHZHPowAHIJuIIAEJgMIoYowH3FWz0DeVQzQfu1NsG3aLB1fyTUlV8kZnB0Hz8EaBQR4YBOtVkMf1CVNYBkAoUmJCsiVKqyCza5hoQsJ2rglqlk/Wm19uuO26tJDNUYBm8Og2Um56Cl2nmroUiIogyaI2cLwij7Sml5eu3PoqgmCOVolUAidycpGVZBpDH6evmOFFcMWMcQGmaJ1VQ2drF7nidE1wdGT2nDIp1+o7OhQp0emrBqa2r0GBIexH7N5oDv2JRnPNLjhCarstDQ0rKKRWja5H4616dydaViQw7/FBNMHg1HgMVRsRKIhswphoz6uAvy9LSPzRarl4dVaCUU9bJefDAB8PBI3cE17odQhVClq5gQhj3JRgcD2sDUgcnfHzmrCegANDUHu8PQIOQcS/BnZJqo2SZG1ipznpfi+KEG+j95o57mysrXa3izQr8IYxrrM9vrQ4+rH8AgEx4uumpMCtzrFZLw3Fg2htkYAShiS3Xohod83LAvNwCqCC2djODg+pM5bLAGQmBe0rOsiwgMFLaIaUdYppAUUV/pQLLouk+tSwAKXOPg4IILpgKVJQ8o1AFEDQtpir4reBoQOCAKaX1GFUHS0yTRHLTP9H73wBUkgbWqq6JVgxSPZYZ1Rh8LrSsfZmw2+0ROEGEMc8LDvMBd3c3mHYqQLvf7xHjDjFeoPIOBQwir8AEWz8Zc5kBAnbTDgxNn4pxhxB3CGECZG7fUVWUVbTb7SAA7g43bZ3EycoTs34HOqtQiFGqYMl63MPrB6i1Yp4zigQIAgp2qNihYIeLB8/j4sGzoHgJfwb0b8LSx7f93kCUzTb7cLANQNlss802+xCzcQu2coI89C5Q554sBaAuSn3fXaAsE3KOWmWjFrB08cHd7gGWfId5vtGqMHBhyGqnZJAEkGgZyFq5OejCVmaVtByyOkAKnMiKKWIbcBFM007PT1Z5AwQKQCAVIV1VyoFu1kOI0Jx4Qi+SrA6t5u9bBNadVvtbCMjFHAJkE52MnfUARmBz+pxZMETMdXj9774hbrwAO9RFKL0E6tobJfu/ghLOUkhTHBghBmyR/u3pDbWltlgKiFUsYcfLGlOjV/fpxq2sbgjB2iSoRSBDmpKIpakMzBcATXeBYOVMSd0slcCg/5+9f4u1bcvKwvGvtd7HmHPd9v2cU6cuVEEBAr9oMFzEQCx5IGpRsUCiIRIDhoA+yCXh4osPmBgvxASUELEMBKOYCIIYDfqAlqAGlDIYzD9FaVXEf1VRP6jbOWfvtddac4ze2++htdZ7H2POtfc+p67nnN6q1llzzcsY/TbGnu3rX/s+pDStdnYb4MIo+iBzF/E1ugJL1uubva3QhNrHtbydGBRVcLPt6/Jw1PxumRKaePnEsWt4kCeb2dhQGZKr09U4hgYEcFDK+iTONqKF1kjwHfWs48oGSoEIQxiNgcBwHRVBVjcZagBHcsaD/rTlJyjL1LQsODgyunCsqc4olfUCqBaQjrGDUrp+mBQ0GWI0ILWyEhbXlc1PuS5Ey+hKcm5T4G5J5w/PTVBZsBlHFWkdQzm2u8FM01QAG87aFhHVd+GG1VPYGDmXax+l7Ka9BvQuliQXNx//LRAMISp4ZbbBANfSIOEC2HkJFpARgo0zpqIbRJwRIjDIALBqhRRB0p26Y4FYy0FsrNWeOOLWzZvGIgl2X1RR3TnNuLq6wm6nYrEE/cwYx1JmRPDrk0FB52KadpV5QtnuMSoOu5t2dj1ys4aBy90F5rxDSld2L/f7ERCiMob8fpmFsJt0faUkhTGj92F925ySap+Era3djGlWIVgQMIwbjMMIICJnNoAjgQgYTZxb174yeZiHckcODgaNW0AI0zxjzgmggM3mGONmg2EYcLW7QMoZU5rtLqBm7BwjGBu7NgjEGfM04epywjgeIYbRhMdJgROJSBKRMWJzdBOnZ3cxntxBHA08aUBauztgP9agLa1+9+jR4+UQHUDp0aNHj5dZrL9qlV1gaV4tO/DF4xcYNpAwIvOAedJPBsmgQRP/cXOsybNcQiQgQznOmjxk20kN4OzOCBkkqoFQUqZyXgVfNFeXRUt1F5NUwJUMZHEaNQgUCMQCMc0JPb+yUdiAnexAQfbkVywp5oIh+Xg4U0D1VZIlEwrG1OEyQUwHVCSbPW5Nhv2dDm605UPePV4JYmr3nfLugJI5/tiRQwxNSYkeSMtoCDEGpKxuJhDVSkgZZfeXTDvCxXadbt8yBcjmRFkwwXZzUQRts9ktA0AyhoX/dtDFEzQyeru6j2g7srN71pyGAgbZDy/H8qB9rj3v59W+6DisQ8+dTJNkzYJpGuHsD09ubB68zKOCM369kAEoqltDNu5kbjb7x25BFTs2ANWtGMCUkSmAHRAUsf4pcEamn+JlIO7c5GvB0Tl3IXLgoABmyUFLKMPAkmFlBbjlbx2j1s2rlMlAGRTteuCsYpoMZf/UdaUJuguSemmMj4Uef8lacqvcq6uHDfMjIcuAMGwVPEmpACjaZm2llieqixeLGHhby3CyuWuFIjNBy0vW5kqAxmGqFfb1d7hAroEX2UElasba2iSCEJTGJzKX4xKpJXyIAV4iwiYCO882JsRIeS6sLwVNIk6OzxBCRBYUbRQXvL6arrDbXWFOCv6ONJRjuXCssx/0OhPkPNX7QLkHCCQnzLOW8jGrcKq/7Wq3wzRfYs6XCF5eE81iHUAtDSMr1cnq/pV9XQUTu7XSxVn7F8KIlFRQVwHXpGVccUAcTDtESHVHWEH2ODgITZjMPUgdj/RcgVSzJMQRaRbMKRtISRjGLYZBAbqLixdUcyUns7oORiaq8s8CgIwFdP7wIWLcggdloyiDLyAjICEi04iwPcXJrXsYtqfgYbTrqQIo4mO1XoZ70VkpPXq8HKMDKD169Ojxig37MkcMihsMx2c44Rnz5YiPf+BDmHJCDhkcR4SwweZkg0yMh5dXECJkAeYkZZebYKKKlmjqTnICiSb8mcV0DzTZgbijBaAJlUD9dRRE4FICol9QYRR0JoBjANFgu4NO1R4gaTZK+UpI00GbPbHYGmxJJgpLgq4vnxFvU3mi/OaS9DZ6A/5qduaMfi13IMS1DA5FNjeig0GqVSMGKGTRMowYY3HhaZ1p2jKJvS5lUbDLLU0Lk6HqPGSBglIicGBrt5sxDJYcmSCmgxdZZoSYQTmAc2srq7R45jUzAwZmNGMmYm4XXHkipGKzZGKvnoQu50MwY0LKuyaJXwweahkRlc8pJT/ZvBCAWOZIwwVh9RjquuIaQIsRteddlNSEN01Al1mdRxBaZlAqTJ0Y6lew5KUkja5OOX/D3prntJjnAh5wBI8H7HbRMDOaNuuYEihwAdMcWGFLwhVMqO3w82oCjMJmWZb11B31dklfXV1ZaZkCDMMwYLMZMAwDqraNCdMGc1MxJNTLalRE1a8lZ4LMxW0omAZIZRctIygdBAS2/iZkVhqNao4ELalhBVK1j5rUl77nrL0kX9uEy8srY/pkZVZAEKI73+QKnEDZXCEE+63zPQ4jBgMRciYkA0mzOCfJZixosUkIQecNyvDAnJUtAgWuOCgApmV9dW6JCDFEpERIMxDjYFoowDTvsNtd4mMf/wjm+QrDyBjHAeM4GOjg93J1INK5AsDGL7Rjl/uiKLtlHDdFgyRhKveZGAdsB3W3YQ6YdslYZ5XIUVetGOvI78lWMhoHEAdkMMCEMDCGrDbPMQ6Y54zdbsIL91+AIGEYIihGhBghHLUsldSmWkA4P3+IJILNdoMwDECI2M2CbGxL8BGG4Rhnr/kcHJ/ewdHZHXAYUUu6WvCkwyI9erySowMoPXr06PFyjus23gHbKK47qhwGDOMWQWZst7cg80OQXCBLwJwEPCdkEELcAOa8oOJ9tvtXdvC5AAPtTrhjJrqDzwAFkFlUakJUSx/Kf90ytNm9qwwWpeyjsAOaPtkf7kpRX2w8RPyXfbfVBJkKM2JZ5rIaUCuLIBx4H6GeY/1pS2ydFaHNDrgOHwHMAaI93rVYilXXc7OzacwTL3cQoygc7ll9j74tL5JxWRxr9cnFE7YGOIMN3CKQeqs0YEn9XctvtPRKWQTenpzVZUhQrXb9/b7vDVnv5hoQUOxjM9a9ZsqQZq20U6ssHLU81XXMpX3LSSD4Bw+vlxa4Ip+SsuPfln2p+wybZgrKWKOZl3aMa2vr45bxUed7OSTrqG3w41Z3pQKasPVd9OUCEJS+63rxtV3OW9aaH59LG6g5vq8vLZ1TZota2qpAql7mrIyNLAY6aad8/QTTFGJmLUEEVfcrQkn0l0BlHRA2oVgtafHF4BpFsYAvhaFThkxBXGXOoTAgxMC4OaXGJriOhgurZrMrVzcjNlaSrY/ABmQM2p+G6dM+dtCXQ1DtIitTUmKRGIACbWMWBRRCNODb5hoE5kHv5yyqn8KAICHnHeZ0qeA0wZgdURkiZm3cAjG+JsjmVJlUNnakILtqTLX3Pl2HIcTSb9hx55QRg5hDV7N296/q8m8FWQmS3mp17SogpK45Ke3UfUgMYGL/t0FBIKaIwAPcXS4bQMRRy05TFqQsUF2xUV2ENmc4ObmJYXtk9tZk69SuscWNvkMoPXq8UqMDKD169OjxMo/HfU0jiupcQALmM1AcEe5+Hqar+7h6+FFM+Ry73Q6X8w5EgnF7jGm61B33rKwRT5QISp1W8cKMaZ6BbCCAJfhV08TFBFPJQ7XMoy13aACT8ttC/HGbALb91tp01WHBNWBSk2CVkh02JkC6lq2h72q/ENfza4WENH/X11QkMmGedSe6ClMeFk4V0c/U4+e9rvoOrie8gTx5ypbDLtkc1/VJzW1qoteWMqR5rskftYn/su9tuGtFDBGZVN/DnytipoCVFNRDOTvHdSjUojmBMxcNhaKBYsyTbIniavSAnABi1Jeb90hazE0Zh5xNwJVN/yfb2oiga9hLgLf70PM6pn7sENQhRMfIf1v7TOCyloSYPsmqHOy68qbrrKMfFV6ypH8sn6/AVvNDDkg0Tj4GBsyzCpkuok0gQXbdEpbJtrY5GgMjxohhGBBCwJSysdjE2FZajuOJaSnpWggzz2WduyBytJKopfZEvTEIMcSFQ822lrIzIsYKzvj4wOBYB1xEbL1oe+akOjTTXLWJQJV5k7NquYixaLTfA7abozJGMF0nIjZnJhNyNhabSL1HBWMsue2wj6uSOrJdd9rfACAMGwBkt1Et74lhQCZlj8QYABKk+RJTeojddI44ABERR0dHGDcbjOOoLCER7HY7BeLtmlRwRkvdYONeyxRJrart2s/IyEQABwybbVkDs9m0T/ME4oBNqcMyJA/L+xDDmW0BIQwACMkYPoRQrJ9jHLUcaZqsTEkZOQ6iEyKYN4hRy1ZTVkAOrA5IswDznJBmXVeb4QRnN5/B0ektnN6+B9CAjMoA9E2FDp/06PHqiA6g9OjRo8fLOB79Jc0ZELorzDwYMyRiOL0HGrYAR1xefhRpPseczhFjwDhGcE6WqrkVsCU5yAAlcw0JYGJk8uepyXFr4kik5SJEgApZGvugAU6o0MMVFEhzRpq1REhFP4Fq5boCXixxXhBRitWof8J21I0Roi4nroGwRF+IGi0UHE5mDz2nCehsCfoMwOrxh3gtewGQxc71Ho2A1MEk2+4z2bmL5olnvT7YBojsgw2aRIhUJoqLzWpZRoJrc7jdMbM/1pIDLsdXHQMXmBRnEZE7mPjf++PlZQ0O4MzzXIROuUlgvVxDtRScPdKOufaPScsu5nkugqA+hj5Oy7l1AGWHGAIQBDmHsrvfiqTuz++aJWLPZ2mSeUbO2cYAVmZiwNaK8aNtdlHZCqBoiUfLovCEUm1Vfe5AAs4ouimHghZMGCgQ4NoM5fKwsbT1oc5CKuTs4FfLNFPgbq3/Yw4kFCpfphkv15mp8xoW7xFY+Y6tpwI4NeK8WjqmayQXhlcsoIqXjcneOrE2wJAD0TGAJNiNBWT3ssJoK2BiQIxV0Nc1YIiAy8srpHnGNJs4KRGG6EwmFYwt1socsd1ssR232Gy2SLO1jEzXiRkpzTYWfl8ysNPWpFuu+xg620OZFcbYg7rysGl9kOtLkQIoIQwIWmEDwYycZkzTZdEl2W6OQKylN4FV52qep8XtRM9d2TxUlKzbkkydg3mey9pjCqBIONqemC2wmIaK69A063QdjYiyM0z8fDn7vR4YjM0TDZQiIhxttyAGQnBWZEAMG4xhi814gvOLh5imhBg3hTmzm/QaDTwgjic4vfE0Tu68BuPxTYBVEBelVBMIfnkdbn2PHj1eYdEBlB49evR4RYd/4VenBpB+ew6bM4ACJAt28yWQM+Z0qSUTHAGOuvMqxnTIAcpEMXlINnJA2SHmkouJJXyapHki4smU+3noOyqlulKgxUQis1m+lh1wUn2UWu7jDkFU86SSGfrn9G8FByprQstm8oH3NuNGtPes9fgRY92yQKSc+zrWgGotpCZBWb1XBLlNlozl04If9VjrlqxaV0o+mnPYQ22zNCCTtc4SV7c+dheSlBKoTXQBtKU67Ugp0KMnE6nj47oRuQFVVJwzoIIfB3onaMorfO0R9tKXsh5ahg5KH1SLJxuYZ/O1amcLVF1bwrP6S5NfXry/sn0qoOKsn1pSUsGGygay/+hyrK+JXWWkkGPL+vF+1jncHxq/TEoBDqHMW+u8UsetGUMcGAtjkCycp5pogbFi8d0AgQ4M1raQrUvaKwsrejrEdstYr4H1leD3Py0Rk5yhohowQFfXrpeDqaAvVmt50VX4WvHyHMVmasmKuhvpPYpJAchhGBEHTe4ViPS5c82VXO4bpbyurEkHgKnReKGm5M20QYhXWjBkt2C3y2Y41jbNalecsutKCYZhBJtGC1Eu13q937b3XoBJdNyYTdC7Acvh1w2aeYugGJBywm6eTXMJcPYKselSlc+3c+rstlAEw/WfKHVlg6gweQhDWV8AMIwjyo2OAtTKeTAwaYBkRkpAiKOyUQSYc0bOqtUSx2NsT25hPLmFYXsGYIAgg3QBrNZbjx49Xg3RAZQePXr0eMVGCw7U5ABgYLwFDsfYjMeQYcRw9QD5hRFZLnBx+VC/6AYG0gCmEYIRyA8hMiHnCySZQEgAJTADm2GwpDSD3dGGBECCO7QIgAwXgFV3A/FdU45gCgBltY2UhBCokXE1EAX65TzGjSYcErHbXSJLVhhGaPV91nRcskCk6htoIhqxjfrPoLIDUmFjPCqcVbD/vCZDMUZst1sAGcSEYOdIaW6YAmZdS2K73vvHZGYMJqKqoIN+X0+StPQlJxXG9ISySVKdKZAXia+309oKZxhQoemHoCKaCpiwtWEDLzdxl5Q5zTZmuQAsMUYrQ6iJcFBxDYgIrnY723n2INMsyEiJzaaaMY6jltcEtiTayhfEwDVx5oZrnGgbA9SpSMdUXOK3lERogpoQY8DZ2Y2SkIYQ0Noai6gjjTNjkgE87e5465oUmEBDU/phwMA0TUU/QlevAWy5OvF4kuyJMzMjNQAJOfOAFSzI02QjB31OYKUtAcMwVrAnVUBmGAbTeXHQrbomrdebiJRqovW1wKzCosSHABRLqimiZX555KbPXtJWQBXJBqXWbXyC6oPQAUFYydXW2vVY8jxjEge+UBhkXvajduAGp0Qb91CZV65noW3Q0hZP/K9jRhwdETabCpTq3AtAQIxnmOdktsMK0Oi6HgwUNn0ZAaZpMkbSld3TsmEmhCEOarfbsM84VLZMnrJpkwQT2lZdDyJukU2wXROgCSknzGlCShNyTnYNDNhsGBw2ICJd/zLpT84IHHB0dMOs32vqoDiWAvNTmsuYuR1zW8KVC1gLpMyAMCKPkAHYBAUriAjZ0L3c3MszEYRUIJY4QigiFRA5wtlPxyc3MYQIyYIYgBjZ2DLK+NpuB4zjEUI4QuAReQIkMZAHjMOAKSVcXe4gGMBxxM27r8fZ2dO4cfu14HgKyACQlQyRO4WV0dhb982qveb5Hj16vByjAyg9evTo8XKOx25+OQfAH5tDDgKIBwg2iOMJAML2+AJpCpgnZ0Qk2w2eQQEQDKCsEImArFREs62SaFEVE+RAxeml3UX05B0guHdESVDEKPguGkrrRK3pC6nEqFvFSnL9EMJCS8QYF+roo8Kk6x1m3QE25ox/6cdyF94jZ03KF6O8YGKY5klzfIGyRphaS2ONdre0ZaB4slnHD+U1T+49kSbTSSHm8nxmBptOSm3j8vg6PFKSWTKRz6phUt/T6qb4czlrn7KBAMpgwoItUMfIGEMta4Z0TYZQNQr0x9aKzZ9I/Z0cPMnGHrGJYjh1wtgQ3lcyu+2yi43C2HCR27I22742TBnJuSSxoMpBqloxtWStHdt1tCKjZGLAXCoQrBzC39esQ//MYtyaBUr2+ZY5s2xHex8wEA3tIVr2x3XlQP6eWtJSo+qe6EKjaz5bny/rwH85W01IHx/KOR2AI4IzNXLKSFmtj/VFFVll03Aph7LOen+X+iwNywH+Pr9LVWCnHT8OocxX6af9hykihmDMECmggoKlhGzaJpPbNueEOV2V/qnAayj3qdDcIwI7myQAQQVSmYJazHOAs66c7aSMLV1rWRTITWlGzm5v3dyDSMsrVXx1hmCuc9oCBOL3u7Zskxa/l9pM9l4fIAEkO5uG1BCHXJSc/C11bfil3IyDrnVlxRCreCzs/pCmScV97Z6vAr4DmEJhtUiGuVppeZNkgmSGIGCzOUEcjnFyehvb4xvg8RhwcNDEhL3UTJfLsu/L6OBJjx6vtOgASo8ePXq8YsOTJl4959/6AkAbxM0NhGGLYRNx+fDjOH8hI01AxoRIDLIdTyCp3a7sLKmcNXFOGTklRNNuoOhCkQHT7EKyDfvFk17ZT0yKjW5xX5GSEOiXfWMIZNPo4IDNeKTJyNXO+puXxyWBkNrQijCEwyO/0y7LR/bTV2UnJOx/WfbknFSgcV3cUbfHy3sB1bVoRuD6hjWRjA3iorLEjLCyNmZZcwwOs2daTQr/25NoQS01SS5aWw4GY4VkTcxUpRZBVIhREy87HpQJkXJS4eEmPHlzAMXtjA0z0Z+UUEu7THjV1gPIxTtJS7zYGiezJW7VZrSCA77GaPHjeibJfmdj3ohIYZMswJECMi0T6eJMslhLywgGoGR28Gc9VwaWSW5AvwZDLJOg8zqbsEZx0xEFsvR6abRYrDxBh2YNbBD4MH5SPs/kWjFNNAm263Ec+qxHFTom62MFTBwcIiZQ3j9Om0CnNGOaJkzTpJoyogBDsHuQX485Z10Yzv6ww7pTjVgpTrYxY6pzWsu4lhBBWA8UFRgKACEwzHFJDFSxMkohpDRjnidcXF1hmnaY5wkpT+VaHMZNAaoUfKlrT3WBrJTFbvFMsay1aqNubc/1MSgX8MTHsrKBCEn0/na1u4RgApCw2W4V6JAKMOoBra8MYxdVxx1lxTTlLc7kQTuubHo/Pp8q7gxW4EnY/r0QBTu8nAsGQqnduv4bMMQthmGDac4QmTFdXmB3dYl5nsBBwawYRwhisXFPya8ZAvGAeQKSMIARp2dP4fjkFm7fey3CcAM03EBdolWQmXBwqffo0eMVHh1A6dGjR49XbRB062+wHdtTjJaXXp6PSPMl8nShX3oZiLQBMoFlh0yCROqionoOU8mhSAgkDJYAEhXtExBkkbDa+a20yL+TZxcUFE8oRRu0+pI6z8qOCaHu7Jadcf/conAiG+DAWnJBbKKZVXOgJqONLkWzy1gb0cIIVBMJAKC68+1gSNWMcKFbTYjEtlir7aqzDpqd20e4BF0XgVlLZXKGWDmP9wuyTGQ9ilXpmhWQBbPMC0aG79gzMcCmLeMlYi7s6MhHEmO16DnYHDtaRksZXaqlNCalCQc+luEMBwdojGlAVsXkgJuDdgVEaZgRxPUYonoKKPbcjMDK4mnHsDBQaoOb9ixbqAlkBVKuFxF2PM36YtbgKScDLbULmfKBve0lICFZSp+4tfKV6tZUy3jEXyqXpANejwoFL/bBQe2HX4PNOFuwZfrlOkBGIUhcA5IQlqVSpTviIGc2FoX+5KyAIscAYr/2GDkLpimDOCpLw0sMG3eolHTOUs6mZcLYbjbIIgbM2Hg17KP9hqGwnCAG3oAU4INrB6m49DxP9nOFlCdkmYsAs1odBwMhD6BZbpMEE2Y1NykvuZqnCSnPaB2bvLTIHYWcwCRCJqitrENlGiaAZ1U8oQExbBVocrZJwwIkGEBj12EBIk3DJZljkwr9DnqNsZYvuniufiZVVl0gEAM5x7LMFO8hhGGo5zDx5HHYIsYNYhhwdbnDPO9wdXkf6kwEs8vW0qZ5VvCZMQNMEEoARTAxLucZ4BGbzRFu3HoNTs/uImxugnlbVzv5HNf1/4gV0aNHj1dodAClR48ePV7WcSgxo2serz5BgCaO0QRBBWEQjJuMeTdBJGCeJrh6ie6CCigNSJgBzBCExe52qRApTJIKklRnHHfb8a+eFZjwvLskYYvNfi2z8cTbadTD4OUTdo6K5OjzlkOrcKwmERw0MZcyIjWxLGUuDVtkMXJrQKV8n7ZdViLbVSVjbqR6Diw9QiqjgbBnYVwSssWslVNe98XdhWbF2SiewEuFk/be7/awqxIdd8pY7DzDk203/V2V+wDFEUeygAUAkzKUKEAisC4FKmOxACPatlI9L6isBd8BLj9cP+rJbAHkmvIlXVuevHnSX8EYYdtrZi5932Of+KnycmzK8yKlFOlQ1P7DhFsr2CJZShvaqEcq8q/lWClnBTFAEC9foVoGpWMOs1yWZke9AaOa5PxwCCqjZ9249npfBttEVbHgXNlF1wAoTGQshEPRgp/aHz29QKvnlG0hkpDVZ91apvNOILTD6+DgPM2qvWNtoMUYwdbV40LvXQQqAIFAQTGdNbdQT8iSSj9q+VrAXimbLK+FCr4qkFmdiYA5zZjnHURmvV+zs/WccEQGhtiNSxrWGgOgrC5cpisSOIKpAr71XldUfQBQs9a5AVAaDR2SsrQq4F3Xb7n3GhVIu6N/K0ZjDJ6m/1r+FwuIvttNmKYddrsrxIERg4vqmuisuVa5k1SmrBY6xEiJEDhiHE9xdHwT2+Nb4HgEwEt31nPv4G4HUHr0eLVFB1B69OjR41UYy6/jEUAEaACPI8awAShi3p3jPgQyP8Q0PcCGAyJl0DBgyglIGSwu+DpoAirAPGXkNGPmDOGMTFpXrmetNegpAzB2QkkI2JxbxGnetezHEwYgI891xzIOmvRs4tAkcbDHVnYE12lRh5SBBmBfn/KJRiwEZbH46NUddxW1dNvSsutcyn00GZDSL/1MTgeSRFrO0H4bBk1uXDsgJUyW5A/DUHbwYUnJ1OyiHwq1KmYk1GTS2SpzaktuHETwneSa+KugrSb/s+mUzGkChwrQsInNVgaElRzkXBgXFeRxsAQI0RJRUZaJCCPnGe5eo2BBA5D4OhCGIK1gq+tDxUYDErsdsWrKZKnaOOvIkjHt5oOvhbA9DLoYs6H8bd2lXEEGF651UWCb0AL7+VjpyspI82xlFMoMMoWgsgZau+wCZJgFbiADMhwkKgnqut3UgFEHXqPDnyuaM2wATkYBUVKxgK7j5EAaHwBjAC3dcY2PbWnY/wAA5E5JREFUEBkcoq2Riv/oGO+gZWYMYtXGiUHbEyIXhouWe8zY7SYMQ0SMEePo95N2Pdbw0q5VT2E1LUCIjZ01ii27GNuCiDCOI0QGuA6RlrAFcBxMFHaAZMG0SzY3PjrmsjM44021S1KecHn5EJeXF7i4fAAOQIyEzUZLmsZxg5QE8yQGiAcMcSzuSLPswCAcHx2bGG0suiEpteLBfn1pd4mgzBFjdmXoGptNj0k/kgHKiBTBkRFiwDTtTJNlpwdhMj0nt0nWwZMMBYKzC9PqWgqsAE+eM3bpEg8ePEBKOwjN2MQjHG03GMcjpCR4eL4D0agitKa94n0RMHYp4PTkDE89/TnYntwDb84AGaBuXXCMsbkbvxjg5DAQ3qNHj5dndAClR48ePV72cSjZvv4dy/caE8MxByEIMcK4BQgImxNMaYfdlLDJO4AmDMiIFEDDFimx0sXnXMAB88PRHeSSBBuIQhFErk3heiYCYtEEAfrF1Nklvkup/juWaMHtLG1n1TroLIvCGim76VonH4KmnkQEsHJgGLVQxJOlvV3GVTJZLEbFwQOj28O/2PvuqjICAkf9TJkdt1V20c16eGffSFY3mbbcpZ5XTGMmwmn6Ilr+REBxv2hzP2VSeBJd++NJay4sGRRQRA7osbQMEGa1RS37sCXv1p1n1RBR7YlqY70CIgjKmmhydtec0D9MpFh2i91/AhBi3b1ulz0ZILcoVWnGrsxxVnYOqIJAIqHsNhNZMicqSOtsFAC2g11ZJI8SjS1rDibyOysgM6dU5smZIyoOCgi7pbSDT+5T4+5DdQ06AJUl27FEcSVzIlKtDAUh3Y3IgZLq6LISyGXbcS+sslpURRwqvtcAllT+bq8gnTQHRr3KyBNS1+wowICNIxU7bb8wqD2i2Xj7WlAGQWC9vlXjJdk1pGMaQ6wARMP0cTvwOU3mLDWpvbAI5nRl17GKZq/LkjyhLscxAVQFZwigbK5jqsFETMrwEXMXEkKQCoe5UCxbiSGBFGjKqsNDJkwNZyvBBW91RXtJk2qcWEkQVcAMUMeflBTkHqIDsJX1QlmBbgVXYsPcyJjnqXRaNVfKJJbzu9vOPM8GHEOvoRDAQfuXcyqAqiCbZosBzxS0LMnLOkX/HXDAuICqUDtmL8Pyu7gCVgwKI4Y4IMQRMM2eLMnAInVDUlCfsUsJGYQbt+7g9MZdbE9vIsRNZbu0q7miQWUtPj7KXf/a13r06PHyig6g9OjRo8erJGTvgX4V1WTGd7I1GQ3bY9A4YJgucHFxjvuXEwa+wJYnDENCHAdshiNcTZfYTTv9gm9JZ5GHpAAh1TsAKcDADLOzdO0CILPUfebmC6raTzq8YaCDAG5ZqSCCdYgEKdvufM3u9HNQh4o4LhNdUXK/Pia23WEsAA0IIORaAvrknJNqtUA1CEIIiOaaERzQKVuzgjGOSDJXSnoTOiZUsIIMS/6TvTdUhoYnKAAwjiNijLZ7q4KyrtVAFCwBJUuiVAcgZ4FMCUS5AbB0bKdJBSwVlKnFQXo8LoCPjr2+GkNEjEOjq5GKRe9umkppgpbEKCgkCxeNCikpaITCKnBLbAdUpumy9H0YBttNH3RnP3lb2/H1hK4eT0EiAx6QkL1MBNWiWJO8ehgHGSAqIlsSdPut4AhK2cc6HGQJzBAKkKwOLHMSTGkurIPo4AlXHRgmd5OBuToBgPZjnidj7wgmeyxQoIdIhYxE1JElBmURqKt4RkpTcTMZxy2Wwp4GCDGBAmv5lkgBJAQqvFpddepOfusktQDfHPyDsa6yMg1y0oQ0YwbBGUxcgKsKoNQ1UhL2pmxKwQYGgrlTZWUEzfNUWBybMYAoAna9kk1yMhecq91F0VPJIsgScLUDAkeEMAII5apwcM41StI8K+NuTiZuzYibCKGE3FzvHFW8OmctH1KhZwfq3P3K+mxdlpyRZnUYCmJghIHTKkK81BPS+4FaFW82A2opk4qmprRDmoGUBIE3BtYoE4U5qPC0AAR9TjWN9LlpuqpzE0jHhGqJ2zzr/TPlhGma1f44BnAMiHbN6r1GSz9jIGRkJNGfIGzgr4nIJhTG02ZzBOaIOQMwrZ0QUN3DDCsfhgghxjAA43aDOKhwrEOyMR5h2BwBGJFBmDNw8XCHJII/8OY3Ynt6B9uzpwHonBewbXVNv9ioEGMHTHr0eCVEB1B69OjR41UYh7/G6U6uWLJARNicnuFkvo08XSDfP8du3iEPjPlqRrqcwFG/4DJH+B61EJRuDRjHI+puoQlHqihtAkSFDklUD8Ab5TvxNYx6IFyS6qW4pPNW7L1QxoMmcmR4imDf4WaFlJREMh94vbYl56SONJm0BIKSCjGKl034Z3P5TQb6tIAQAGRJmlAKDGBxcVO3m9bSFk1YqtaMJg5c2BvMQAyt5XH7Zd2O19qaimth6BPKJvE2aGQTFM65sovI5pbgjjhLUdJqS6xggUhGKSspCahrHaB+3gCAykBxYV/9O+UZYq44goSQGRwM+CjJvJQuKrNDrPrLtB1AyNkS55RMY6PqXYAIkrI6NolrkVTmSkqpJIvVicTLKdryhhpMVBgevkMe46ACxtg0DkQKSni5TstQ4qbUrDKIfH5NByM48EDlc34NO8vDNS84GCB24C5QGFF2/SprAvBkGajLCCBzQ6KSoHrLQMsddynvMAFRYlAw9x0MFewrgtAGzJRroTJAdKpSOfKy/XpyL6NzO2CAEeJgTIZYQCFlbEwmRq1rdBiCuVkpM4JF7H6C5vwtCIgCyjgrjd0JCtWtq6zzLDYX/t5Q2EY17D5BYqLGwfpSBZMLUCWqUzTPk7kNKTNPAQtBEQay22iMjBgDhmE0C3hju4iKxmolTb1es6iOU7KyIxbBlGcQZTCLjWsFc3JzL/BjZwHIhZWtPQ5AahnnoKwXjs29gmwdBFv3GVpqqm1Vh2JCZi0znCcTEWZGGAIEjCkBeU4AAjZHJwiDgidXEzBnwZUInnr6tTg+vYXjW08hxCMgZSiyhR49evQ4GB1A6dGjR49XUyzYJ/t8CAdR9MsrEIYR4/YYRydn2D0ckPMVkn9hzzMi6T8jXrKiDBYymr4CGEIuIgtjR8C35q0BtSzBj8WgJkmp/I8qc7H8dktwyr//rUlPFgKoJuMN7x/LsgADHkoSbI+pvLm+VxQ40J31RvSz4BX+/uY3VZFVZ9M4A0STKj+dJ8Co26qWdLbUiAoweUIllpQb86VgNL5rb6PUlFyUrnrXYcKs/rny+jIRJkNSFoK7petkCRwbWwOLc0IccPGjuZjoEkDxsfHxVgaDa8poUjinYJa1oTSzdbyhxXg5qGLimWLlO01bqJyrgiTtTypaNQ4G1PVTz7VO6L3fFU7QJDhgMEcRsvHynyUgtThc0566llgVaI3B0epkNIk7srEJapuWAErbboKzDrwRLWiQyxjZNb63Dgz4oWW5lq9vuIAoEQI0Ka5joGAHmVVtvdYN3PW5KmtqdR8gGDtBmVRs1up+bGXPcLHDdtC3lH4QCqCxBAfFL+PSPwcivY8Ofjm7x8MtmhdCqWWc6ryvZtrOmRdrowUiAWdZUbEmdnHtUga00gXSSz2AKTbiq3Us/b6yuPc210RZ5V4uRlLmzpvsGG4Fwql8Xo/dOHXBr8tg48bLtoiykgqGrrfzcqUV9k3S0qV2HYkwUhKkpPO7GUYFzxAw54wket6T09u4ceeeMVMGBbR92dk4H/63skePHq/W6ABKjx49erzs48m+zF33rgNQBPzr4kBbxJObOBoZz00fw3Qe8fzFRzGEgHEYkNIFRDJiVDHIlJMBJoQZNVEjUlFVUFALSYSCUUhKJSEru6q8bFW1GTbgYt0JIcQ4rp8Ek7EXZK6fd1sekorh2DHUQUIbtkwzq0UyLVgqTxae5Krrhu1+e2I+JUhWQUS41gVXJgBxBUnaeRKxHXsJJrqor89z1TNxW2FNWlWQN0Sl6gNURFw9aV0wfwwMIW5BiZrUCzJyVl0EB06cwDDEWMopmFH0cLIQKKPsKLdJaq7Uhgp4WYQQqnOPAJIFaU6gSAiH1IBFdRzEBWrNOpUoK7CWq8Vw1YxRMUlNrivzpLrXzDYGXDU6LGGHuVitSSjZkrE5zyaQSQuQoNjLrpGS8nlZOCNl1z4ppQyCGFf9tzbkAmokkJVe+WnCQkSzfshBrJyxuMa4ocEQk7EoVMRZcjanJrH3mjhrjKbBQhWsdICD67Uaoy/1hoUhOg8JLiK97CBTMEBlOeAcAobjscxdiHptxOhioD7nxg7iqOwtuIVwLOOQ5p1qocgMZtGymRitLI4LW4ts/TBVbSOOsZbeGbChYtEODuiPWuw646XydCpEoHNMI9drzIExqB2yCAqAIpIQw2DzLc31akynMMAZPoGHwoDy3wFLNpGDVcyMGAZ9Zg2aWtlZTvV51VChAmRJBpJoe4bBxibl0i5nq/h9jYx9wqxgjzoFuVaTXWswBmBKmKYJV1dXGMfR+rbBbtayqkDqIoSwxW5mpCzI2GB7coZbd1+D06deg+H4DHmnjkU0jjZPlYnYFmZ28KRHjx4dQOnRo0ePl3V8MsETwBkPSj2HPuYRPBxje3IbgQQPpwtkJEw56ZdwJECmZseTzPmmZNrQL6G2c1zsR2G2kp5gGWTRsAg8KnHkcE9q8tXuSusXeiq771K3L8lfb8t1lqNiBUB7LADfNRZB2W1eUvBlcRw/oZZVGBvGWRDZ2Sy+w9vsdBemAMo5/Dg5ebLliTxblwSlbED8GP7DCGz7qSKqGcECSlnbv9oJl8zWllRZC1Tb4DvgZJQiF/YlEDKzVc9U61IUoKSyUFrw5FAJjJ9T9V5q2UbLKDn0ft+pdlYBkLUSJDOYcklaWwCluJlIC+rU3yrEaYyRwtJqGBZlrnzWtPRBDDAi0/5Qp592jhuGzx7zpRWMFT9sWV91DK5nzrg7kjd1ea00yxT12MVBpbB29sd7ob2RUwU2RQAT39VyLztse4xmbZe+wNC38mxuHq+vpeZ6XrXd+8hMCFzLx5wx4yBfCAEx2/1KDEAwoE7REV6OKTWlUdU6rABGKpBaBXrbEqq2LKt8ZvWT82FQlkBWwmfD4Ja6ft1k1z9xQLKOMxGZY5izk0LR2VFwwgSEqTr5FOy1+S8RIQ6DAWfKgFLR1yp+DKRyrw+lFIvLfd7Fb/3fmMKWszlVgBUgm/YQqqislgMqgFJYMuau1DLOXPRXp1BfR4gQUv2UXRLkTNienOHo5BaObt5DGE8B3oBoBmgfrNNRYaxXbI8ePV690QGUHj169Hg1xcHvf+vEtQUhAojV1vjk5jOYxhGXDx8g7R5ini9wshkRKCPN6hpDZmIi6107Y3xofpQAyQaemKgsanJeAAxZJxSexO93g+DAz3K3u4IkrRCsJ5z+2F5zOorrE7iw5ur8zAHBkjEmsx0NpnuQXGuiTfxUX4SIVOTTEwahojOiyZWK6apoqH4+W4fbBJ+IITlZfQxKslabOdk4VTo8fFe3AUhCCEg5I4c6zq22jHCAwBkTtTc1qfak3nbKHUSBJogZMKaLa5nofwq7Iy9BikdFjLH0349X/m7BtXbq/SV2tkA2hxvGYOUCTGxioMogcPegPRDFQAICqd5JpgULpWnEYq86p1nHOInOI7OBJ1Q+15Z1CKC6K7k65nhphkAsMbWSh8VFoGtaHWic+WDHjeZA5ewI4uZas7lejX9KCbvd1LB0sia0pcyifk77l4xBgdKPUNbHCiahyjpYXMmty43l2fUesGRfuUYQGSDiYKECHm4lzs2aMX2OLLqeSct7oq1vvxMwszrVIKEKqK5Kbwo4oX+G5hxkzll71yQqmFisipvfrW7N3rVAfm+sw+RvcSv3nHzeW3YIlbKl9r7KrPonzv5galKB5txtO4jUclnP41pJVEEYu585wyeEAYFDZUyJKOABXbt692z4HOX2K6CszMEwVJAnWdtSnvWa5ajgSM7IBspwULFwIcZsQEkWAnhEpojLKWM3K8PwztldnNy8i6Pbr4GW9TjDpywmlH8vhMo926dhycHp0aPHqy06gNKjR48er+q47qvgcscXIGBzGzEc4c6zAefP/T7OP/772KUJgZLqb8jObEDNvJi5Ht/BCRJ4+Q4kwJ1wyMtmSukOld1LAPDylXa/f8k+IEzzknpeGSiEwANAVmbgO/to2BrNjjaHwdpsTJnFGLnFZ2jGxin02TRhTITUkCEtIdGEW8Uq3VJZnXnIXIiGIVj/c93JdlcYoDqtkP1elTl5xKBtKNodOUNLmPT9IbiLhVmJ+iB7Eu8JI1B25WGPuSS+KMBCdUwBkjkBDeOou/nMxdLUXTzCEA0QiQiBS9JbQIcVcFDOzYxhGOpacNr/tdVUnjS6xoW7Qvn6MPFMQ1oy1B7atSycdZKTOvakhiGg5RFqv+2J336ZjZZYqPvJXMSVU9ayjc1mu1iti98G/ogQsu3OCwhxGE2oeLn2s5XTqFmPsgHEABVnGzj4VoVaYbv62q95nktCPs0zpnlu9EMcnADckttbrBbkCg4EVoFSdciydVLK1QBwsASZCkgCA8GWDBq7Bg4yxCy5FzRuU1WkeZp2cJDFna9ynjDNCSkLYsoIBbzQUpYWJGEeAARsNmqV6wKpRHpPI1svQ9SSlsnGTazUiwh2zfk9yyy/B9VmiXEogEkLntTrzllqYpomZH3TMZnmWUvYUir21n4uZkaMR3BmVRmrpgyKHOUmUpCIUOY2Sx3rBZhK0PbA14tee1rWE0zrKCCGgBDVcpjswC6CG2IABdPDUpsxuIaUlh/pLTcERgwEcrckAuZpMu2jbAgzCsOFOWAcGEMcMaWMPGdM84Q4HmG72WIYTrCbgQfnEzbbU2yPbuDmU6/FeHQDwGgXGwFmdV3Bk/1110bnovTo8eqNDqD06NGjx6sunnTvrH6RJBDAW1AM2Bzfxu5qQrzYQab7SNgpEOI1/+ROEK7LYbaq8BydNMnzL/BG4xZLTCowsiyf8Z39kvSue7XYuW0AFNIv204UhyfRUjUJtB3ZmAsO/ACySOBaqngLMFlSKaKuLmKJryV57najrH8vYTAHHVR9DreqFWjyDSIDGCwx91Y4GHXNV3hPjGHHcaBDX2NjFdhOOep4S/O+cnRa9lcTSH9drFSrJtbORBisHS0DIJsLBzVlBp7kuTuOIRnKXlk529SyhOX6bRPIWv7l479it5DzAni1jiq7gEk/y9mStebYPr760Xa33svS1gwbBQGKWC5cWLcyEpyThKYl5e86CQoJGGsG62sgA5kyCAHCDvnpODhrpGV97K/fyl5xFo460HipRW1dvY4dSEJlYwReuMW4g4uL3hYNG67go+rjoIxfHcO2rMtHZQkckd1LnHGia6z21483mxWwWp0nc6hlRKZSjufnrYKyev+J8bBFNdnc+JileS5jnBfrpZb9tIyTehzau5SXZVh6LbjrVZpTOae7/7SlQSqUG0zY1V1xmvE3naeWsVXPuexb1aQRmG62jTzbOUzjROzfCPLyJl+fVhrFodg+VyDOkRvT3BFldsXIpitjQtSSkPKswDyxHxYOsvtcA8CUJltzgoHUeQmkDnFJkoIqx2cYj04RxyMAoZJuio203YvKPbYdJO8/9uasR48er57oAEqPHj16vCrjOhClfvHV94T6OEdAIkCC03tnOH76jfjo//n/YXf+HOarjwESIBIwjozAjHEcNLFICV62A8wGXgDgoN+DJTdfqtVCsuzM2u56zYG9XQ275VHdgbuG5CbZYwRSynnKLlLZ/JYmmd+zNfb3LVkp/nued5YYsO7miutH1Np8TRQdTGEM0XQ12JM4teUENPV2kINanRVZfrEvFrMiyiSwxD2lXBNDcptcKju/+4lcTbSYfUe6ghApVXtdTXJTEYKd53o+TxYDKxvB9VVUS2IF2ogs2AatSGVr6+vRlnYxuU7Lqh8Apt3ugK6EjrmLhbbPw4CY5EwcP0dQZlDM7S6+Aw/1jbqL3pT/EBDHAAiDZzJwDCpsyu2aW8a+SCeB4G4pa/ZJ7bMyj2zupK4HBxjaRNvHpQV8/Dhs+iUR0eaOHMPZGzIHG3JQRsIwRitpAVLW0pJpcitfLX9y22fibCVwap2rbAsFopgJc9KSDZTZkHIct9/18XAmDREZS0kbO88zUkq4uppKPjynBIHaQ+t6BWIYDTwDJFQ9GXUImxbz4fOu1xmw2+3MBSaVa4hNuJgDI4ZoIqzRWB6q0EtQ+2nXWtob3HLKpjRLcrkXuGW6lxI6G8MFXB3QaFeYgoo+bm4nvARsyvnhc86QnHF1VZk947DR6zuOmOeEnKTeg0zzByJmz81FZDY39wsNvZcGA12EgJOTMxX9zYJpmrCbrjBNWpY4bo/BBDBZ+SQzYlDRYAWKkt7nQwBoQBbGw4sJgojj01t46tk34Nad1yBuTgAa9JxY30MaYL0A7AW16cBJjx49OoDSo0ePHq/ceFKmyaGgax4zQMcgmsE04+jG04jDFpf3gTSfI08XyPkSKQnyZFoVxBDfrTe6tBi4oAltgCoHLtvsIozIVU2lkC+M87/eu6f2GMXC0/fjHRzJxiyRhljifazsk/3nljvgRE1b/JcnqUIIMBtOVNFIEXccqowQINfv6YUhU/bk6xmlcciQ5rwguOivjs+BfpdnfWefIDkVkU80iXUVL21LKXyHuSax/h5P7ubkyZGWMBAzImupE9u8eYmC7+7XYzTOQWV861gvgZD6PmYcLGVaYRDNx5qEaP2xssMu5bXCIoBZ44rsf6YwJ2CJfJ2eEBlgAjfTFjham/3YdWxQnrERJyA0WNl17KuWLUAEkDNHmrXdlooAWM2zFOYSEUp5l4N2RK4C0QI8uh6oCOLu329qjyyZL0CO/W7Kv1wk2dlbKq3TTmQFnNymF+asA1Gwj0iK45P20cufUJJkL0niwl5QsLPORmU6tayMRe/MySmbVk0SdZwqLKngbZBm3lyzpAIhMcfC2ClzX+ZM4KCeSG6ElsXYSFTuN8w6X0W81foszTpXIoqzNXTS/C7TCjuXLhIAceCWm8+SMUPctYfq8UXvrhUwMxFfgbrfmBuRNGCtEvLYLjsFmgJHXE07K39LZWGW2ZR2DSyBZCKAKUKIkYUhFDCMRzi79QyOT28gbo4AigAFs7mvrDQVGa/XXwVPmufWy7wDKj16vOriUwagvPDCC/ilX/ol/MZv/Abe9a534YMf/CA+/OEP4+LiArdu3cKXfMmX4K1vfSu+/du/HXfv3n3s8f7dv/t3eMc73oH/9t/+Gz784Q/jqaeewld+5VfiO7/zO/En/+SffKI2PXz4ED/+4z+On/u5n8N73/te7HY7vOENb8DXf/3X47u/+7vxOZ/zOZ9ot3v06NHjsyheKoBCy98CLHa+eQSwA/IOp7dfh3RyC0TA7uLjmPE8pqsJyDNmZIRou6xFe0Jr+avIgwlislvFJk9hmgS6gUVamnnDAtHSnMa1o6IOaEVihXJJkgvQYM487S6wHlVLbEpSDU9YvNTHwBjxnX5PvMyhBUqlJ9REPOVlwqoJrcMcCpAIOYji/UIBV6h8uV+zMtr5awAUclRAymvZxz9VBoqDEK32R/m7lCC1J6kCm17ykXIq1q5zSkrD51DsXStIYJowpICOJpVuEVzbwyXBUnHXQ0KzWgXQAg8rsK8NSwiXu8s+fgY2VZTAWEFc5jpG1crAardetVqSleyg/Gg/jH1ja0Stc90ZBli2t20olfVRQZzrM7W67pqxOTReDeOnMCyatUQkCp6Irv7lzrxbI1ew01+q+XC7e9+0bwVYKFPCk/9l37MQWER/gp6nruUMIJg2kAKUyuqQUiKGwGWsxMEUqmMUmIsGimoZcQMeNCK7BFNoasbPpsfPmcyqO2UFUUjM/acw1/zepePr4rzOlkkxKWAQAoLZBLcaIQ6guAOV3zfaOXdbbRel9Xt1dtAyO4Dlc0nmKORrQtuXzJGoivu60xSrTpMxnIhMnFWqZkoBmQxAcX0iBR2BOanQuLKSRK+JyGWNw/rCYIQwgjkgzZdWepULYKQi3L7efP7qvwTEqr3CHAFitU0PAzbHZ3jmtW/AsLkJHo8AdlvrOtc+vwvOjt8v5NC9ZG+Z9+jR41USJIf+hf0kxC//8i/j677u6x77vnv37uGf/tN/ij/xJ/7EwddFBH/5L/9lvOMd77j2GN/5nd+Jn/iJn1j8I7+O973vffj6r/96vOc97zn4+s2bN/HP/tk/w1vf+tbHtvmlxAc+8AG84Q1vAAC8//3vx+tf//pPyXl69OjRo8a16pqPiAP/JJQvkahfGm1XFOkcIjukfB/T+ccxPfg4Lh78PtJ8AZkeIAZBDIIQTAsiz5C8g8gM5B28rAcm6ip50l3GxonGtSSyJMCEVJFT+drsLA2OQ/0+W5J9BU/IgZSS5HlPc9PlumMsDfAiRg338XFZTxQAYC5DJ8kTmwAmFVMsNrlEmOapAAbMmmztdpcAMoZhgLNmctLkK8RQEhpudltdmLWdL80DGu6KJZW1RKbhA3hCCd9dpsIuaJ0zRLTMoYpeevLCcKFXLxlKUh2IQogYhxGnp6fwXdzdbgeBlgaFoMdLWUsf5nn2lhWGgK4BTW6vLq9Kz9oYQsSwKsdxvQ21el4CCQXYaIAJlPcIcp4hkpUV4Dv7XrLUACeu9ZKyjkGap/paeV/GZrsFmZCuh5Y1LEGc3LRTRNd8FUhtdC7Sddf00i1pHS1wsnYZateFjo1f6i17oR37/TY4wJWz9i+w6lio2GlGCBFMBiZ5suxOSMxwu+YsyX7bmiqlXQ6gKOuEaQsIN9oZrrUiDcuES5/nok/CGGJUB54wljm4vLyCGJjLBvpxIGiJ2g5+R2gBFAV8M64ur0xfRe8RgRmb7aa5xvz60mtgt9thmrTcJ8SAGFRU+fj4RNkwizlKpf11qhthZbMg1jUSbA3o9TabZopkmL7SCtQivx5cr6dcHGX82FhCRhPBPM1WlikgChjixrRZoP8eQN8XwqBuP+MGYsK30zwh5YR5TuAQMIxjARM5qCYUE2MYjgEwLi4ukNKEnHcYhlgYR4FHBB4Q+BigADEdExEgCUOIgbAB8QYcN3j6tZ+H7clNHN98GhSOAB5xNROIIkLcGECKwm5Z4MQOnMhy7BZ7DB1E6dHjszY+Vfn3p7SE5w1veAO+9mu/Fl/2ZV+GN7zhDXj22WeRc8YHPvAB/It/8S/wC7/wC/jIRz6CP/2n/zR+4zd+A3/oD/2hvWP8tb/21wp48of/8B/GD/7gD+LNb34z3ve+9+GHf/iH8Zu/+Zt4xzvegaeeegp/42/8jYPtePDgAd72trcV8OQ7vuM78M3f/M04OjrCO9/5Tvytv/W38Pzzz+PP/tk/i1/7tV872I4ePXr0eHXEY74N+m4dAZAASAQBiOMNIGVQBqZ5AnbqiCCYkPME5v2ky5MRLacIuuvvaUoL1njC5mUvrlFSkj9jaxCXxwsWBmy3nfLiM4B/6dddx7a0wBkT5b1WerKkeFd9kiXDguDADpB1R72I5tbky3exNYchVIFZKe4ausPqO8fNLqj9TeRgUGXUkO26EwCvEFIXFWuXeELt06laFHUk29KOg4sApaSD/BhkTBMqjzVfs/Ggyrhh9olvlpQnpQ2ARQbaFbHLQ20pa7F9UiBS7Wkr4wigVYekrCMFw3QUNREsxVNNqYFDVNp/sW40o9+2xUskKmWq6XehbGhkH/f69rKWRNrhal6rfSBUseFWvPTQZyqg1h6ngmr+2UXz2rOtk0n9dOmr2OXLoFKqxKUcSI9BlFGcgMqA1X6SifyGoLv/OtZZE1ox9gmxzqevmwPrwwEwB1YUtOBybrf+3e2uIAJzhlLNkkBc+lPuF4u1Vstnyr0BxkAJrdUzDPg1sdk0F7YMZ1bR3wbMapdoFU4uAwMXUnXwk2DlVuVC8vKdCvKgMFBq2xf9Ws/n+rxlDVZwEOLAmZ8rF6AFZADz4j7qYJhq4igTzj2lHLSJq/sTmXCylr25bpQCJ9pXZcEYuEwBRBGgDeJwgmFzjJOzOxi3Z6CwAYyZsgBjye/XvpLX8YQIycF75Ys/TI8ePT7741PGQHF18EfFL/7iL+Ibv/EbAQB/5s/8Gfz8z//84vX3vve9+OIv/mLM84wv//Ivx6/+6q/i6OiovP7w4UO85S1vwbve9S7EGPHbv/3bePOb37x3nh/6oR/CX//rfx0A8MM//MP4gR/4gcXrv/Zrv4Y/9sf+GOZ5xtd+7dfiP/yH//CS+vyo6AyUHj16fPrjUbf3F3HrbxKG+i3QE01nQRAgOyBf4erhfUyXD/Dw4/8vcPlRYPccKL8A0AyKM4DZPqeWtxABiVlrSlKaNomBAxlZJqjQrL1mNG5kpZJnY5bEI7NFloQkJlqbZ2W9iJ8zV5AG6s5BIAzDxn5GDMMGKoq6KzvjIspMyJhRoAZLilwnZLGZX8ZKgY7AEdEFF4vTSUKWhHF0RkIqAE4Z+maaZPWdnxm2S67MCbWhTeuN5vq50j4p4+6vbTYjODDmNBdBTO+TCJWdaBVUdcDDWQNzk5Rrn4dBd6DdspVtlxlA2e1Wtkb9bJ5zcR9iQmGBACb8ud8RsFnmOrihx1dXn8DKMFAmiq/XWgJRrJKtDV7SAsBKTgICR0s8ycyZnNVT9V/meca02y0vlTJPS40KMJnIqmaz1cHF14WYtW5oL7USo1nnljFrgS6pLi/VfpgLm6F12XHL4gIaWnZdADFjHRzWl6nWszkJqk5OZS4Qq6itC56mnMxquZZqxTggMEMkWB9dD0jBkKK9YaBCthIxEUEMG2UwpUaDZ1YGSIyhXEduk+2Cx4Ao0wv62YuLC+x2Ozz33AsKBMeIYbNFHAYMQzQwJGABIUmz1sq6Wc55K35c2TkZu6sddtMOgaPa744jhmFQphkiaomZAhAxKjA25wRnpy3uD1nnHaU8KkBsjHa7WTVEZjEmD1VB2+jlOLrAKpCopVVqM65zN00TUs56byilX14mVR2hShkZx2IrPQT9zp5zQsIlssymAcPIEkDQ+8Rm3GIYN9iMx3YtqICsu1uVssgwgGkAUwRoVHAtB1AYQRyR8gBgAMKpCsbefQbDjbtAGADSa0o5hFrq5CVAfpERUPSK6rVHBy7s5veB6/RgdAClR49Pe3yq8u/D3myfhHgceAIA3/AN34Av+qIvAgD86q/+6t7rP/IjP1Joiz/2Yz+2AE8A4Pj4GD/2Yz8GQOnMP/qjP7p3jGma8Pf+3t8DAHzxF38xvu/7vm/vPX/0j/5RfPu3fzsA4J3vfCf++3//749te48ePXp89gdd8/NSDyMHfvTFLKJfijGChhPEo1s4ufUabE7vIm5uYk4Ru4lweZUxJ8Drz0HNDxhABCgCMGq2WW6Knw6wRM8SU927hFpeFhL2op9t8pit5MIft7ve+l4UIIRKm1rbWCo7nw6OEAKYQilRKAiD/1ibPfGqrihuScvlWC07peZlzTk4FNq7CGGaEqZpxjQlc75wpsn+BNZd5WX5RCsW6mUrHNR2NISgJRklIXdNhGUJjHaxAdeaMpa2NGMpYLrUEnGgIbQAgLWhPM+MEOqPM0HacyXTY/Hdb9+dr6wKKW1ctqV1e7J+HMyKWiTLwRUuTkPtT2ja77ouhSnQrCmfCy/rgpV+kK8/akqemp9sIps5pcUaP5TY+xi3oI6upypAquUrS2vc8hlvb6Ha1KS9XZf1vXW4UkqYpgnTtMM07cxZ5Qq7eYd5njEbqKO/M+aUMc+iAElyZlNUhggPzfolWwsBwxAN9GjKroqVtJQxFMBKz3bIuYKO9aeyJbIkzPOEebb2zV7Ckqq4Mi2vLTi7Q9r7hM2zjbmvC0B1keap9j/lXMrA6j2nsjLEKT5+bGrnBWVNe3vneUJOdr8jNOus0U9ptFSqNbD1Jas9+TRN1u+WTdaAbuQgXCsS3Yy/r8HCREK5v8Sorko5q2Vxyup85MfUfysCYtwghBHEIwjBQJGILIyUGaARcXOKO/deg+Mb9xCPbwK8ASEqSwtc9F+Wt6/l/b38G9Iwf/b+Ce2ASI8er9r4jLvwnJycAAAuLy8Xz4sI/tW/+lcAgC/6oi/CV33VVx38/Fd91VfhD/yBP4D3vOc9+MVf/EX8/b//9xdf6v7jf/yPeO655wAA3/qt39oonS/j277t2/AP/+E/BAD8wi/8Ar7sy77sE+pXjx49erx8w++TC0pF85z9LqUPvsMLAAE8nCLEI2y3R9ghYZcTzl/4COZ5h4SMLREoENg8HEACMW0DvX27eW97PncBsS+/AGDWl75/6F988+qbbWVH6O42N7vJSy0M+wKdPQtpNwI8SdGzFTDEwQqqTj2LL+aawZfkk4zeTiRmW9wmm7QHKADmNoGaFIIJYgyWaecCphkcyP6NswTLSgrafxOd0SEioKZ7nviWfyPJNVeavtuYUzsUq66W/4ozE5Id04EdKjvkrdaK2iyHAjIw04KBUl14lmtS1149t+tw5AxkzkVvw9tfy2Oqvs2httZxOZQl1R1rf891m0at9oSO2wo8EZ9bPa5qwzhw4msGcLHXwgAQVMDERYGbsT9k/9yWsrg+iGtmVD0cGydVkV3Nb5Oki4DByOTuPVzOYa1eAFTzPGGaJ8yz6omAdA5CjipWe2BBMQPCnqRT0eRAc80yvKxjaXldgIZmjv04YgDbNO/M/amKGnNwAMAYSxnG3ljPv7I0Fhe7oFzLOcnq/TDgRNsWGl2bNGckuM26AVmhdbypGkZk01yP3q7XZszhFs4Z85yh1tGhgB6+XpV5wjb01DB/KniQsxQAzEE3uw0hhFCsoH0dVVCFynWWkQyMrK8pCylgiAOiMatSmkqJU73vuNhrRAwbBdYlQDIBwkCIyCko62wYMW5Oce/p1yOc3gYfnQKZm39PMvZnZhlCOGQotb8E2ol/ouiIS48er5T4jAIo7373u/E//sf/AIDCRPH4P//n/+CDH/wgAOAtb3nLI4/zlre8Be95z3vwgQ98AL/zO7+Dz/3czy2v/af/9J8W77suvvzLvxwnJyc4Pz/Hf/7P//nFdqVHjx49XmaxzvJfWmTJukPZ7Ma6lSYkYLitX2QnBFyefwwvvPB+XOwe4mra4XgDBHZhUoYETwDsC3xTbiKSIFAWA/vOrLDtKirgsueeIEb75oCACE982567yCOR0udzEiT7oq+ZoR/TARKCCO99wfbceG/XX5EeuEOK6hX4m9VOmVw4VgAxW9SckzaBGSyqFxHDUDgvJbv10iegJrekSaF3o+1raDYRxAlEoAIclERSBAgGdKRUPuNip5LzXl/LprhA+ybQ5EyyJpa+I1/YHrW8QUSdOQ4pEOxHfU/VWEAp1VDWgoBpNjBBE3YmQs4VpMqlDMc/2+yki7OiDp+3rAexpPca0u3CfNkBDXM/CkFdmgIHMFUB2nKu1j6VVGVEdYPLRGs7mnloASllYCyT/yVbgkriemiI99k39bpwAMO7XYCXxZpwW2tRltQ8YU6zXisMBE6AEIQSllv75aAgBGRa4k4EwTS7YCwWnxPYPUm0/WLomgAmzFxLjnKqa3gctaynMjOsP5AiDlvbqJ9hcfCnGaEDt1IVlCZrO2tpmDnaKFCgTjPDUK8/B2l3VztzMJPV8R0y9natXH+yFLN2EJVSt2GMxiiLytLKqsPkY5sNFx9CKNdpAhqdkQqGSmEfqZhvEYTlWhozp6mOg7lygVRfJhJjDBstVzOb5pwzBDPUhYwBBLs/DwBF7IpedwXw9XJliAx4+tnX4+jsHuKtZ/WNuwmIY1k8Uu7j1o/9Vbf/z+ET4R4vCnHp0aPHyzw+7QDKw4cP8cEPfhD/+l//a/zwD/9wsWb7nu/5nsX73v3ud5fHa3BlHe3r7373uxcAypMeJ8aIN7/5zfit3/qtxWd69OjR45UXnxzwZO+oi916ti/uWxAHjKf3IMzYTPeRdkBOUFcdERP2LNmRfql11kBheKAkRdncHsh3myGQxbnbZMxLTjzVyyCExTvbL9NiIAbaMoSWLg+u4EDT54NEhXV7TCRWxJggJtzqSV3pS1teJErnZ7cEtpTNUgdjELCBIZZUSLLx8K1qS/gWbJsKnlRHGP97mRA7gKJts98rWn7ppmNbPpaiwBCTlzBlS8yu+bFUMTu1xACfFihpw9dEaWsWK1cQYxegAHR7wIu49gMcCyksmUW3qFkHK/aJv3dtIVxPlMs5SqlR9pIdXWPiLBNS697KMGjRL038XDS4zlNenHupnyOFceJ/r9/XMrAOg38Hnm+OoUtoeQxnfuRcr9eqJaRgVgtAHgJCarebY/t7AWUpSBWGbeeoMFCwFGTNOZdEfd2nJYC4HMM2ZPF4uVYW72w+V+2bYbina6Top1RLdQXc+PrMYljxdfdpWf2u7XY2CKDW1DEGRHOz0WtsCbaRM+LIS1gETsYD1TKf/Xny8r9a+lNLmSr4VFl0wS7KgLZMqKxXfXtzXVO5JiQJUABzlLXEccQQj3F0egOb41MgRCDNS3BxscYOAHaPCn/rcpIPv6dHjx6v+Pi0ACg//dM/jb/4F//ita9///d/P77lW75l8dz73//+8vhxgi8uDrP+XPv3yckJbt269djj/NZv/RY+/OEP4+rqCpvN5pHvb+MDH/jAI1//0Ic+9MTH6tGjR4+XS7AxR2pUGjkRgByATDh55vNwPD2DGzfO8PzHP4iHDz6KafdRUJqRkRDI3FnIvrqL2R5DdHcxs+2QigEn2bNn83QICNhgDZ6AAoKzTDiDivCtRm7o5yKaOKiQp4DCsvTEWR+ah2XdOS3d9hIG/XNdhlNQBX+PgRbqnpLKV/Hs2hY5IYsgTalogQACZhN/tERnuz1W9kTSMgm1VDYGyirapPxwaUppaUlKs7gtryY4c2OvGgLDrab3ziWiZSB24qqFAEBqKUr7k1OCICOTl1MsRWQPnsfHzRkts9rmpmQ2sSGAaLAx5OJGlJLt0rsbzbWjcThKcgssEt91zNMOqRFazWYtG1gtYNGUGFnKukjEagJvUN9AZfzaUpxD4EibHO8fT4+5BNQI14ElbRvEqDqtOK63wzfFKjjg46T9DKzXsQogm+3uNc7MzIxhGApwkrOx3URweXmpZV+N3gzKKPLBZFZLWuY9IFEBjVoyU5y4sqbp5Ton18dYjvNifAxfy7b+HDDw9qkejpS/cwKiMb1cJFasZMZLtIgIPBymOCnYDFQ79go4DsNQQMxx3JpV8jGm3YSrq6mIwubkjkiqJaMAVarrDFpWhMHXgILBkvU68nkl04BaAigKYilYGEEIeq8OASEMmOeMaapAZ9C6IL3vJ0CEVSg8J/vXgCDZHNtCVPZJEDx99x7u3ns9ju88Aw4jcHlfHXdCrE1GgZJrPz7h+ORtQPTo0ePlE5/REp4v/dIvxU/8xE/gj/yRP7L32v3798vj09PTRx7HdVQAtSw+dJzHHePQcV4MgNKCOD169Ojx8oqX+EXSd8XFrWlXIQTAy3kI4C3C8V0cEyOe3MT9jw1I0zkud/dBeQdGxnYMiIExDAEpWclFGqD7kVrqACZIToXJkAEgCzhnFcP0L82SkdOkZQQ5gTlrYt6IGBIzyJIByQrZcHAGhFMBKoDCTkIptr8GSDg4Yv919soiH20BlNX4O2ihiajW6bMQKNR/pjXZn5Hs+OzWtW7lSQJiWBmI7J9LmgT6ETvr7a6+akewuZ2kAnw0TS9aKQ6maPKJZte6aciauePjhJXoqZWflP31thSF6oGkMEcM6DGWgWvrGAeiMGIA1lIBt6+2NexaKTGGYkG7nqcKDkjtR8tSallLdubKENJSLSZBZi37ybZe2dspCgQVHY1mrNcgTWvP247bHmOieX1dvtOCnXXYl4wKb0NKyQAnbSc5i6IRQ31UhMB6/bq+cpFZcjDBE+/aPi9zcaDU5zgvHJn2g7kRFi6sH2W5hOCOQ3Xu/Pxo12Izfi0DpmXdhAa4WSTkYsU0DcunnY8y1nC7Y31uN12ao9NUAMEhjqoLVHSEDvWY6i+pTlhqr2wvkZ778vJKAcZGS6e9/7ciuO6WpfNi15F9JgRfo2Isk4xhCGDx+4EeIyV3enKh4ailPCDTTqkgq5bXAYGjre1kekYJ2bzPyJgrWQI4bDGMR7hx+xmc3XoGm5Nb1ap4MIFZXoFpLaCN5UufsngSjKWzV3r0eFnFpwVA+YZv+AZ8+Zd/OQDg4uIC73vf+/CzP/uz+Jf/8l/iW77lW/CjP/qjeNvb3rb4TCsqO47jI4/fAh0XFxcHj/O4YzzuOD169OjxyoyX+s2NyldQgSgtG0C7zwevk/enaQs6uoOj7TG26S4upwn5/OOYribkOYFywhA0MQtxY8kkgBQtCZ4BS8hFMoRI9QGsVCBlQTT7WQoAJENyQspAmhM4CNg2icGeqNlOsP1HIMW6VXdmfYwcdFGnCgdvqlCm9rHImzxi5Gxz3hKxWr5QARTddSUWcIhFpFFsF7bYzoqg6h5Qw94RS0wPnNnb+6j2iY2BlU+FoO4YIjWh9gSKQKZtgMJEANFKRHOv9yUWQMoKbKrimctEdrnGoACSM1oMWNN5lmZ8GzClzJuvgXraGAJCVBrBOklPDQumFVytbaYF6uLsBS2tCsisAAQbFpRyRiAq6Jv2N5UkNq2AAmYuQJuP3aMAEw8fQwc6WjH9PX3UpvV6PL0O5snsZ80OV12gmrKqA6VD/rSv60gKJsHBLQNFOLh2hjkvmRuMoyw+c7CkvhV1LYBG02xmalxs9CeLOu0sWGNo/jbBaBExcGG/zMeBEz9vCFw+7yy2ely+FuQpzy8ARkG6nDFNO1xcXpT1GYPagDvosD7kteCZA5sNYJCz4PJyt/f+JXBl7BGp8+jP6z0I0GvDASPBnGxdh9HunRWcSykXh6bA0eY6FmFaHzsCmy08tMwI3gYDe0zUmIPbXg+g4Rjj0Q089cwbsT2+hXF7BvCowEk0zauK1DWQyWNAlA5m9OjR4zHxaQFQbt26tSif+Yqv+Ap88zd/M/7JP/kn+NZv/Va8/e1vx0/+5E/i277t28p7ttttebzb7fCouLq6Ko/XVsd+nMcd43HHeVysS4fW8aEPfQhf+ZVf+aKO2aNHjx4v+yhfRiOqvW8EaIO7z34BcrpEnu8jnX8M0+V9fOz33o+L8x2ev38f4wBEBpgismSkHEBsX+htF59YBUM9Aat6Jg56OAPALE1NJ4QtcQ5RxWOv2dq1ePwWopdzCNVjXVsmY2yFFe8DTBFCuiPPlqC4G4eCGppchhCUaZFnFBlPAdxlSMGNx5VjvJhQrRXPSRTEkWLNS+b2A6DqKRigpm4ezVgIgFR1KJwJwmCQsQOIqSSw3vfsVJNyEGNmNO5BJeGz3zEOapMaYuNqoolaFQfWs/sxNd969LgtUnYH2GS/HEab6iKvK3ToEeEMi3le2j6HQIgc9qkxcGtaLmUf8zyXspeWrbIuXVmXnJXfpamupaGioOzAGpnVNfPB9tS+q1aO2iP7mvcfnY/gAIq5MLVAmdg6zjmXkhPJ6q4EriUnLbDhrd/TeRG51l0lGUDo58pevsKk68euPTZGCBGtSo+sT7J/7ZXSNfgSlvI7lbWRkfIMkaS3Sang7jLpvy6MJVKwGVK2Rvmszltolj0b2NGKb1cNmLU2kq9LbY+omjGYK1FPMpBco8SuQeaIGKKySjgACMr0yxk5z6hW8cHmiAAZCnCXMiFlAccBxCNCPAbTBkIbvOa1n4/jk5s4vvkMOBwBYQPwYGuhdZIDHj9+PXr06PHk8Rkt4fkLf+Ev4N/8m3+Dn/3Zn8Vf+St/BW9/+9tx+/ZtAMDZ2Vl537osZx3n5+fl8bpUx4/zuGM87jiPi8fptPTo0aPHqyEW+YltrleBV/2iDCgrII6nIGyAPGLmgDgcYfPgHNPlQ8yXDyCSkLLbEhOAoCU2osciy4aIxZgplTrupIPWFcJSfN3pF/ftoUW7979mr5Nfex+tk85lArpkN9DqNdRcq900XpRYVGq/bfTC7VWJAWTz2KD2gAYCWCK1BnAepXtyXfhnmAjCrNbTokANcdtH658nqg2osigbERNRbcoOSikFKoNjUWLSfnavgXb8BrTyMxM7ZldFLgFCJgJzO+Mts+WAOO76hMuagEcPYKVoNH/I6rk1MORlR03ijWy7/ktaUTula0HVVl/m0NwrO6QyJZQBIGXMpemfs1Z0iVXQaiHg+ogxYSZlBpTxrQDKYt03nxVjIa21chxMLHO6wLMMKLIOLoCjfPharm0+dJ1rP912OAReHHcJvGqfqshy7cehEGi5WX2/Xs8tsOFsuMOgq10nDmrAwUzvj3/E1uz6frBiYrQtq2KxhGXZnl+Xet1nK9VTxtCydFEERSPHrbkJpIySnOACswS/37GtRxP0zup4pvfSEcwjKGwxDCcYxjOcnN7C9ugGwnAE0AihASpMa21coWWfLDi5R48ePT6jAAoAvP3tb8fP/uzP4vz8HP/23/5b/Pk//+cBLAGJxwm0tuyPtRbJ61//evzX//pfcX5+jueee+6RQrJ+nKeeeupF6Z/06NGjR48assxoVru+CoTo72MACeAR4eQU4TjhtSf3sDt/Ducf/V1c3v8I5qsHuLg8R4yMzeYIOV8iC5VSGSaAowtUDnC9BoddIkcgemnLbF/aZ7jOgVhiIZRBsk4kDofbDntpiCacXkJizAirvffkAbAEteRcLvooTf7iFHqztbX3iCV+OQvAgoAE0AxQC6Dk5XEO7Fo7G+SaSXt0n5nBEAwhQNBqhDQ7zkDRKuGSFFcmSmBlYyQWBIQFAJVzVjYJ2vILPS9ESvmJCpjWRJjMyYPtOIIVUHUN+FV1O3x3Xv/KMi+Ai2UoqKVpcpPY+pnW5TQHj5EXF0Td5Fd5Ut2Ez4W5sWz49Ud9qemhusGYaCmylcgkXbeNOKyDB9pH1xFZauUsGAur5gQOoNACRrkeZ6U/UhN7v14EbUmJQEutnBVyeCwIXj5UIktZn+u5YmM9OWPHmTchBozjaK5ZdjNrGDL7c6Qsl2p9vHqZHfTR+c2SimAs4Owx0wsh1ZehRdnRoQt4uYYPgSVPGmIaKjEGeCnhPCezW3bNF7t/2/2SYwCHgBiDAdUMVYAFAg+maRK030KYpx1yniEyF0t3RgDxAOKIlCaknDDPAsEA5hEhniHEI8ThDu4+9SzuPvUswuYMHDdAPNM2yZINJQ0g2lxxizHsvJQePXq8lPiMAyhPPfVUefx//+//LY+/5Eu+pDz+7d/+7Uceo339i7/4ixevfcmXfAl+/ud/vrzvq77qqw4eY55nvO997zt4jB49evTo8aRBi19iTIv6tdW/eGuSovvs+gUblMHDTcSTEcc8Yjw6Rbq8j+HBFjldIqUL20SeAAqazpInSppMiyRIrmcTgiYjwwYi+nrOXu6RrR1AW9Lh1qEgT8rti/gCOPFdVv/DkmtJTSJJtfNll7XuvsuCSUMAMhgBICAbIOOlGCIZmkepHkktEwJsn97yaxtbaiahnZ0DidXjSn20NCQVAKZoVKC6y/hx2iQXUKZH0d5wNkujD0HNc66DUtkDVv5SyhFs0Gm5uy86yYCXD9kIZyszIErK6SCf77WWRDP3barVJmNNckqFZVA+tGAcLOI6e2P/4KGPmMVxCKmc4zrHozp3uWimOJjxKHeg0pfCMGIkqZ+HlbnZ2wxctHP5tbI6dgt2tOfwta/Jt4+Tz2cFXFznpJzGmTRmSV3AOddJcebDqhFil1MZA+tnkrlyf0rb9XeMpPcj09xwEC/EgBhjsdmdU9KSFQFiKUtqh8KEbiUfnF4mrl2XpduOtyvGAcxRS4auKdmqturtONffDnA5mKLMoUaz6cAnnUDWauR4O/U1tnYpuGOHRBgiQogY4tAwScjK+dj0T0IDguVyTGULUgGamSKmeULKQBYDVWgD5iMMwylu3X4ax2d3EY9ugsIpiKyuEKT/FgAN41FWPfS/Hg2bdFClR48ej4vPOIDywQ9+sDxuy2Y+93M/F6997Wvxu7/7u/iVX/mVRx7jV3/1VwEAr3vd6/CmN71p8drXfM3XlMe/8iu/ci2A8q53vauU8Hz1V3/1i+pDjx49evS4Jpq8qwbbl/mMLIyMqDk/qbVpiEeI21Ngc4R8dR8cGZeXL+D8wceQUradxlgOzxADNwygEC93MAAlRHAARBiS1cMm52w7/Z4ct0m5MyP0eeeq6DnyKvkSS6itn63l8UJU1BPJdmCaYzTtdyFHEnc9UVFLLU8xbQZZpU9Uk/y1dsFCj+ERU9WmG23Zh7W8lmuwMxey7UyjMD/8R+2UCSIBXuYjjQiqt4mJlfmwAnHqMFn5zcLppbIzVIzS2soMdvBGqlUyUYK7ifh8VbtXP56fb81e2U9U2/Z7YuoJMNCON4HDkg3Qfna9jtr36PvqMYtV73oCyRN/Kbv+/n7vQc65LI5lSY/UEpCmi6UExppWy628lKoBKHUA7PDOFFm10RJk11EpyTw0Yy/ddOCkaZf+qoCGa3scLh2q4+HrrC3fyrSeS2ubsaMEAsoMcAYZ6ysY08XtvOeUVEw3ZfBmCzroQLQUmF6MIer4OOCUcy2b0rYYSOGaTuSaTvvjWsdtv191rbLdEw8wtATGuKJyKFotsnpfcVaMapoA6vgV44gQVetkAZUbCOpgV5ZqN17a2NwvlVfIyJnN+ptBGEC8QQjHGDZnuHHzKWxObiOMZwBOIMQAElzzav/+5vewR4PEe5/Yu86e+OM9evR4FcRnHED5uZ/7ufL4D/7BP1geExHe/va34x/8g3+A3/7t38av//qvHwQ/fv3Xf70wUN7+9rfv/YP6x//4H8fNmzfx/PPP4x//43+MH/zBHzz4j+5P//RPl8ff+I3f+Il2q0ePHj1eIXHdN8drds8BtKKEh14t37FFwQ9lkvjm8wBCBmgLHG1Amx1OTp7G0e4cNy4+jo/83u/g8uELgOyQZYLIBOKMgAzkHSgzAghZNNlMIkgJUP0QLokMwTQHJNtjNFqyqTjylFIK9h3lrPal4MIgAVBYMBnuqsEQYphpBRYpUMmbffdfn9Tyopr0hRBwOpwi5Rk5JWN/qDOHz0HOc2VNOCjBEbBkpaREkg8kYs0cUj2ElnLkkliz68g0egy7qx2KTbADJ86AyII5KYASOOj4SgAkIYSAIcayE52y2uOmlDHnCU4fcHaBM0rItqtdULbVndH+LXfXbSS0A6IsBnA2ppMl1EVwdULOyuBwpkcInqSjtGMYNgaWCNiAAJGsbZ/n0paauNddfSJGPCS4WpgXLrhaE9wQYmFRuC5GTgeYDYp4GRugsiK8T2SlN1fTVJgUZGLEp0MswxQGtfSmvNRSAVDcVZasHJ8PHABOFBAkAgIBkUctp7N2zTlh3u0wzzOSgYOBle1RxIntSGOMkCiQqOVGGUCeZ6RJ587xnxBHcGDEYbB7EMGJIBkZKQv2C2u04bQAIbg4WJEBPPOcMaeE+cqvN2rJMqsjEoRgQrRS1lKMI7y0TsE9BjCohpOY0C5T0VtZgK/Z2wOIkIlVL9tc5sqYYq0IbSkjlNx8pj706wzMABNSO7esZTkEtd0Gk2HDjCFUMWFp/0cw0etQzp1zwpwzspDeDxAQ+AjMA4iCWhanGcBGS6qSIA5n2J7ewuvf9EU4OruNeHpXrYoxwK/0jApi+Xxw07n2v0+EhDw51vJkx+vRo8crLh7FLf2E4qd/+qcXVsSH4kd+5EfwS7/0SwCAN73pTQu2CAB87/d+L2LUf3C/67u+a89a+OLiAt/1Xd8FAIgx4nu/93v3zjGOI777u78bAPDud78bf/fv/t299/zar/0afvInfxIA8Ja3vAVf8RVf8QQ97NGjR49XetBjfuxdRKsfYyz4//ZeX+5QFtq3icyKRIgMENoC4QQ83kTc3sJ4fA/j0R0Mm1vIskHGVt9DG4BG22m1c4odz56TTICwvSegFTWsiSE1m7qadnlCsDcmusXdJLhGQXfBWi8/gAouemVD/fHz+jFrtOUiroXgv11jQH80CSHRH9gOrpdFLEqJrpm7/XZp0pfNLlYdSXJhBTiDwoESp+K32XPLXIG5Hjn4sV8uVNVoaolBTU1La1cMirYE4BDjwFkHLjK6FCpFOdYCAGpYK1KbXZqz1JWhVXvanfrDa97XR/tTRUDb+W/b0TBd7LezIfJ6TD0ZNv0SBczq8VJSvY151t8pJ2SzJlYGhAIlHHjB8lher+3fdQ7bOWvXwVIcVpkGrn0iZdq97Ev2PgtoyZxr6sDmL2drv7nyLMSb7fpc6wC5s876x7WJyuebdos4yynXsfIangJgrH6a+S6/3THIS3LcfcYABrJr3DV9QIs7aGHC+LzS3nnrPbe9+6K5xx3qX2G7oWkvqFn/Yu10JgnXeWAycE4tvpOvq5R0bTbzKRBjn+Ry/yN4f90pjZESgWhEDEc4OrqJ49NbOLtxB9vTm9gcnyHELZgHCFjvrXXFLK+hxfO0GJEn+1ftmli82UGux/z4+17ySXv06PHZFp8yBsoP/dAP4fu+7/vwTd/0Tfiar/kavPnNb8bp6Snu37+P//k//yd+5md+Bv/lv/wXAApy/KN/9I8KWOLxhV/4hfj+7/9+/O2//bfxrne9C1/91V+Nv/pX/yre/OY3433vex/+zt/5O/jN3/xNAMAP/MAP4Au+4AsOtuUHfuAH8M//+T/H//pf/ws/+IM/iPe+97345m/+ZhwdHeGd73wn/ubf/JuY5xlHR0f40R/90U/VkPTo0aNHj0U0TjMA0Hwh1j3ewZ4ZgLgFxVOc3s6I8WP4fx+8F4ESNgNAYQIwIc9XIMngnM3rxw9mJTIiaPUzNEzMklA+oUyQJom/NpGsNrq+H7FOfGtZQvst2TNdE7dtwINULH71a79kKFhCtS3KaiAbwWgQRNb3o5bV6Ha1JaEHv6Xb2eUQiFDLhtaaCDWWTJDWEaWKwFYmiT9fShb8dRgDQEi1NloQ5LE6HtpPZ10IkdoYQ/YBrlastAFylufwnXcdz0ChWDO3sXQmqcdZACOkIqRo1s1jOgLXuMk5IScVc23Lqa7RJi0g0aGY5xkpJUzThKpRIqAEXO2uyhgF0/SgYNbB6cVsxdc1V8t8mldFtD8UDeTUhDxzRoQybaqr034/KvNIQYzdpKwhgpaThRgxDIOt1cPrVbIog+dAxHioFEfPO89zGcNq0/3ouVTdFFELXlbwI8RRwcmUVSSapeg1EcHEVus6tAE1C/GoJTBZANGSJn3buh0+9gQg2BXelIJR42y1Yq14GZxHzvpTQBkrwyLiwhTiwLi6nDBPysByUKUAQsHuPMY2q1ovDEIEeADRAMGAlIE5ETbDKcbtCW7cfS1Obt7E6c3bwMltIG6gaYvZIWvx5rr3Bx/36NGjxyczSB6nHvcS401vetNCFPa6eP3rX4+f+qmfwtd93dcdfD3njO/4ju/AT/3UT117jG//9m/HO97xjkd8yQPe+9734q1vfSv+9//+3wdfv3HjBn7mZ34Gb3vb2x7b5pcSH/jAB4pD0Pvf//5ue9yjR4+XeVxHYAeeZFtt/U/PMq2hyioAAMwgzBBMSJfPYd6d4/5HPoiri/t4+OA5jGGHgB3C9DEETAiY634rVRFYInXnAU3lOZCDJZpoqDioi2nWbLVgA2VnGMWZg71cAIcT63IM21GvlAbbi7VSm5TmAl64aKtuLPh7dWwINVmuu/cOekh7Qm1VAYcq0GCzUNgf2YGbrOBBFWAlDMOgSWpQWMrZDGtHmcV8NoKfdacblqyv2RsG2iQXq1wBKM17cyPwWVeLlrhU1g8UkLKvBAu7XfFSBmrG2kGv+tiT+QqQAVU3pTJEnMWQUjrILqGwLNu5DohxFkXKWg6Uc9J5tqR1UcJzKGxsY4xFtFfZJjN2V1eY54RpnsoKiuacMg5DYZt46Yg60thBVydp152vhWxsJBiLwc+x10QihDAYsyFjN+2sNK0yGnzcXGi4/UmpztPV5RVEpKxLDgExmIgpHSiVArCzkqFDEeN4PXCTM6ZpKiK9vpaGzbZxc2o/A0BQxsaFVMdxo33PFUTMXvYG7YuPW9uUwmCzH10zQGXttcBTs9aL9fQhUFdZMO08+WecuaYMNCkaNRWMDKW8jJhxcf4QV1e7wlziEBHCoCVZYYSAkKWWygkYRBGEAZIjJAeIbCEYAGzwutd/IY7PbmNzehtxc4zx6BgYj4AQAR4BChByAKVpf7vWyu9D96fHQCsv4SM9evT47IxPVf79KWOg/Pt//+/xy7/8y3jnO9+Jd7/73fi93/s9fPSjH8V2u8UzzzyDL/3SL8Xb3vY2/Lk/9+dwfHx87XGYGT/5kz+Jb/qmb8I73vEO/MZv/AY+8pGP4N69e/iKr/gK/KW/9Jfwp/7Un3psez7/8z8fv/mbv4kf//Efx8/93M/hve99L3a7Hd7whjfgrW99K77ne74Hb3zjGz+ZQ9CjR48ePV5UOH2heQyjkEsAkBE2pwjDgCAJz3884vz8AilnBTuSOvkQCVy7U5kbpi3SnMXBEE0iNDIZpLBXatKARaQsiZLowHVFaNXu/aglHu3fbflKm5xbm7KA3foUONA2B2U8wVolFFRbqv93cQep7Rf7W9wlpZYvtDzztszBWw6hAoy0CSizO+/UEhofy/1yCS3TyMaOcPZGywyR9AjqRfNDDRslm7VzaYONgTRt1h1+75u2OcuScdKKrtZSmhWIc4ChxK558gi2gpdE7R+HKlhHtW8vJRx08LFVVhDXTSdjJDjrBo2L1bqtB/ugL9b2H3ivgwnszCMylx9mBZm8f9SMiYMNCyBFQT4/fsuEoHYpGGD4yYh2Xlsw7lHToc13e2dvjx+PwWzrR1wAeM0Sq48VwHFRZhR2mvZ3f120s7eHBbTX9ELkuj4vrRB2A23XUiMu17cDRSnNAEW79nwuKxsoi4vICjhweW3aZaSk12oIjGHY4uz207hx8ylgPAHCoMAJIpBbcKzc1a6Nx7+jR48ePV5afMoYKD2W0RkoPXr0eGXFp4KB0gIo5eu8PpYMQYJMDyF5AvOMPF0iXT3Exz/8/8fu/HlM9z+ESBMiTxgiwCxgmgDMgCSITAAymExcldShBcZGEXKXirkwOhaMkdL4BowhAlOoI7IHcBwYHdIeFxZMzkZxnwv7xMPZDMGSTJGMOU26605cdq9FVKOhaJJYbqTMjDov7CyYhjlSN6ZNlLYkqnocPX8t5VE2wFTLdwy0CCHubf4f0jxZjUZ9XykvWYEQUu2c1wwUd/loP+M6DcJrXtMSCFJzGlsH9nlnGRyK4uy0YqD4nLfJdXHN4UcDKIVZY+fNzTGdAROCi4oCaa6Mqb3jAA1TqGWg7Kz8RFlNHEJhFS2YTN4nEcQ4mKtKM34NG2etH5OSC8Ee3pdzXQy1urW+pKQAYYiL24WPfzYGRMvSaeeenaHVtElZP0OZ6zbmeUa6pgZK9TgOzxMzL8p3dCwMOD3wmZwF85SKhlAIAYEZw7BRG2AODaOqCi+356+PCfOccHFxWcpnhmG0dV8Ro2oCpdfiUgOnuS8sQNHQNL8B+/w2nGECwcZeMx2XWg6nLz18+BC73RXioMyTYbNVNhAHBU6yYJrt/gbBOB5DJCBlxvl5Rs4Bt2+/HnfuvQ7PPPt5GE6eQhiOgXhiDYGyaQgKoLCK6Mpqjtcz8ZKhk85A6dHjFRMvOwZKjx49evTo8aRReRSHXvHfal+sm5cBYVCXh+3JHTBF8HwFpIeQdIHdfAlCRgzZGA7GbgABFCxprqU7ELGESMq5nMcgpXUr0EG33hftdpYDBHARxZrsU/3steNQyxcWY+C7xV5Wgqa0xEVjWfU/YP2g0pcapd0r7QQyhoZ4+xGgm8yk490ADyUZW7cNNkQLik17Hlmel8p/4LiOv72W3Eh5s5eXuMaJJ53rxHctSloYElTPX+ekbUvDfjgQbXPaRHp9bsDKLGAaF9SCO4c/V1g3slwzypixvhTG0vIzPnSe4Je+QUEGX0/6dl5o0rTjVUEhQeYM4bpuC+PiwIVay7IIRc/H+2Btnkv5i+kGcXWvwmKdyup3O0dUNTxgjI2mvzlne08qwFoL+BB7ud1+SMbBeW/Hs2VE6fONZpP12UFAF11uBaZb1ooCddl0XJbzsZwbv6QCqkh1u5YOgNXe50UHy4vLzzjbhJrruIAsUv6rACOXz4ppK4ko2yzEweziYwF6yJzKcgZSAsQ0XgQDsjDmzNgeHyPEI9y89yxObz+N7Y3bQDgGeAPwgIr6eDuBZX+l6dWLRDk+we3jF/vxjsH06PHKiQ6g9OjRo0ePlxifvK+EB9KAvXcQAhCPoHyVCaABhBE3ntpApktMmxs4v/8RPHj+w7j/4IOQfIXNOGEYMoaoVscMAtEAtnxBZAc1N7Uv6qI7s23ivmShmLUnXAOl7tyWPoixFNaaJCUOb3EG25lWgcSGZYFKhWcK4NiKP+rxiEyJxXblnU1SXEPgSd4BG1xYYk2AC/sqo6RlKCgjJ2VnaCyRBxFCSlZudKBvy8RnH9hxJssiNfLyBsBKB5aJpmpi7I+xOsy4cIMl+MGFZB00O8DiaMZ88fxiLTS9asCJPfFgb4sBKcG0SWKMOASeUKOlkXNGdicTEcw2jxApeiV7grX2uSXOp+/zMpe9fmUB2GyF57m2X5TpwhSM+YSSvIOwp8NCxj5SJooJ4ObcaJZUBpFrtAzDgMDRyqeWjKh6XNTE3fDTOq6uU2RuOinXrs8JwzAijIxo1scpJQRUttI6rkwfpu0TUMGlhSZPmT+2a11LUxQU0XXEFADGirVRLX13V1dlnY7DgGEYsAduWD8BwmazKXNqDdPrZQ/VagbKwBcFh2j1egVDFKWz1woYWq/V+klz/iogpM5dHEbEcQOYFpECV1EBlKzg2dWUsdkeI8QBkwyYE2OaGW/83C/ErdvP4OYzbwSFI4CPANkCxVWsmfe9fyBWIPNnIJ4UROngSY8er6zoAEqPHj169HgJ8Yl9JTxIlz+Up5bn2r1QBjAAHACKoBwAGhHvBpyc3cR45ykcP3+G3eVzeP65DwAyQ1LCNgJCgiTAtJuQ0oxhcIYKmtylSZDM3UaZKOtG2WNqSjca5gkJLRL1PdZD6W4FGBaJGxSE8b9bLYzcOFqsNTRc7JWcRUOaaKo+RSgbzm1fvIxApTLIWPNLBgKKG1BG1Unw1/fdbNqJdGhEmucrXCI61u6U1IxXAQ4IyNnFYpej1/bB9WMIUNYDpAqScsNYocNr0K19D4WL33qf65xg8dvno5RXNeObUwIfEB5tI6dcrWC9T9avYeRyDi9paRk/TlLxp5Rxkq9lXtS+8aJEpS3X0t8ZKRsjYQUUVQaIO/04kyWV9+rYGeDj47gATdqx1d8pZcxzKusqxAAv0cKsAJA4eMh1bRFXwEhyXlyth+a8ncd27h4VBdQkH79mDYooatEAgpIVJNLr1nRd4A5CKoKbU7NWpF4Lpc/N2YujlChrTKTqJrExehQgXrHFXHR2AdbYWAGVkbIAXHzcgl73C50lNq1aLxcC0pwxY4KAMc8EUMDR9hhCEVkGxOEUpzdu4PTsHm7dfR22xzdA8QSEQfV3iCHe35b5hOb3J0of6dGjR49PIDqA0qNHjx49PjuizafXz5U/PGE29ocDGCwI4xZBTjGmm9iMgssHx3jhwXMQ7JBpUttQZKQ8YZ51150Z9mMAjfLll+fzEoMGHHH6OkAlQSxJKw6UgRwmMayeMyBFWkFJ2v8oUdGGWMcyuXXApX66gAfNYLuGSilDKMcyFgBV62QiE0ZZWKBWNoafo3UwWnR1kcDWdpL1e3l+KcABUbYkuRHwJS8ZcfYIGgtnFAbQGmCiRpR3b/yuGVf9rCwAktWLdcYc4LAeOqtDx5jqwF4TrimibKfq9LPOGR+tt1PLPIjosLOvVDjLHaXEHhdAwf5TyoO8P/sHK0wWlPdUdpAynGr5EFFzHT9iHFwPSEVinQFSLZBVxDgDXEEBf28B4Ep7rj9XC4gdWjPrsV1m9LVcJ0sGC1AsoGycQXVenZlDBIRQmUQ5JUCqaC5E+w2s3LPERXfZ1lMDlAhK6ZVNyzVtpuVzDooUPJLKnwXBcAercv0BrY6K2BpXRy+9/lKOCDFgMxxjlxgiEeN4E2c3nsLTr3kThqNbCMPWmCdkuku2FkWvOVk1tUePHj0+09EBlB49evTo8TKM5hs1t4kBAxwQb7wRJyfP4PNuPIXdw49jd/EcHjz/u5iv7mP38AVsRmA8GjDPVyARRCaweCLvh3agQJNBAE2Srj/kVsQEVGHH65NajeXrsnjddrKpJq+e22RU4v1yW3Z5DpWC8CTH2Q7XudhoaEJKoKZvbp/LwRkPYmVGobIrRBDYXW1QkuOU/DiPCTowHs6usB/bTwdEjFMT6vtEkIGSlKJpw6cyFgwM70ebSZqWRBAtx1rrjrzU2C9hMvALyrbwOWuFZ8Oepo6vLVtr9nqrv1JEQnOdZ8DZJIcFV1POmNOM4hDDpC47AIK75RAVxpVCccYaOdhbW0O0D2hxUDesbDo4Ods6t8si5Ql5XkKPIcRrRG6t7K2U4Uh57CU4ey2TquvipTQq3Kr9ZWOQVHaOIMtc7IuJ3GHJdUJSEdXNWVlKXn6lgGw7QpV9kkWQJBvbyvqaV6VGfi+Tx60/e8+Sjge3Rl7eb+rfZvCEJA74wfpJCMMGoBG7CQCdYBjP8KY3/mFsTu9gOL2nOicUgKZMS1ec3q/q6jh0v+uISo8ePT4z0QGUHj169OjxWRBNgvfY78Xt7vhqZ9k1THgDJsZ4fAcIA2jYIuUJ07BBzhOEdpjyBEgASwYllF36Kr5KTX7PlimQJTRoEhPYzqmgiKvYS9QITe4nioeZCHJoLKh8QpMK8nKax4xU2VnnkmwbaaNpg2qrBBJIqACKJ+HlPGTj4J/25peSGG8XAa3WyrXttN17LGZ/4bayx3goLCBbA7bTXcqmGtZFFU+lAmC4jse148UEyoeBqSfGP0hZJi6uKlKdUVz49XEf17ZnHW1vdzsMPj6mAVL1YjQL5dDigAcAiuay8VmoBUelxxWkklwAAbqGvaNLqQrOuhMMk+r7FPbJtQlx7Zs2u7JJSltyBVTq2iQtI7F1nUVLoFyTRF/noktyeMxp8bsd4+vCXXbKmhNZsLCW/amlNESE0JSDSc6YRcyO3WEQZUnp8ahxE3Y2iK8j8aG341dnJEf2avmcn3B5DbUh5T/LuaLmOIv32jikLHBylYAhFCDEuJqVRTMMG5yc3sXR8R1sTu8hbk4BGgAaSrmO9yRD0Nqs7wOxayDnUxQdn+nRo8c10QGUHj169OjxWRBPwFYAsP5WW3ZdPTsRAmUGsAF4BMYjDEd3MCDh+PQG5ofP4ePjFg/ufxgPzj+GERkBCXmaEQdCCECAio2SaaCUhEIIyLL4Uu+t0Z1w2xs2YIVM14OMGVGb3tJc1lbJTzYOvpsPLAGGQ8wA3z0W0aTyUAzbUcuQ2AGXCqCIqJZI5twkcn5sXoyDum+0u92HE7USQiVZ0nKdXKyK21KaquXAJVHU53PRLFmUrBAKc2ApIuvJ5OFxDhxA8UBi2ZQ1PGkQUEETe3xIzHUdyjwAslRmSNWCaRNzHatUNFI8BRVlvjTJ+F4K6uBf87fraAhVxyVPttsyImY5uM4ANKAbgQcVzHUnoAXOmZfrQmT/mM7A8NGUnOE8C9dDUZfrWr6SszJHpmnCNE1ISa2bQxjAHBAx7LV5r8QNLUB1/fU4TRPmlEr/2OyKydtN2mZY+yTLwoEIMNbOPBtDxeAvZoQQEeNgjC8gkzRrsLmZFLYV+WSZBouAnYm2N1eyeL8/I0QFILYZACgU1RR/50LXCcBunjDNM4jVupg5AmELkYDn7++w2TBuntzEM6/7Aty++1rQjdfrbXVKhhaS9XF5XbawSjNb185Hjx49eny6ogMoPXr06NHjZRsVk6hMC5ieiYqSZgU+BMD4FALfwI14A5sbH8Ppw4/hud97D6bpATIeIs0ZnDLGgRCIEAmQrF/u2XONXO1IiQmVomJUfVAhXIiJTFKoQEBNEhvWhAvF+r6wlX+AAEkwMU4FJwIHMAd7t/ezSURtUPQ4/i5LCokACsiSSoKsCS6DOIACG78kA14WIrkm1jbOnnyFYGULUqRSzaFIEMIAICNLKnayIYTmmJ7sGYAkqk+TAYAZLMbCKPOsx8io5SUggEPEwOsSC5uXiDKOhcEAS9Spaje0pTdMAdywBcqoNthW67hTGRo6G17KwXbcaberLBizB25LQvaZCgq0BGaQM0tSArzMxkAggVhpTk32c05NQo1FSQrE2DVYghmy0ntZtMetfX2t2Hmrna1/SN/AIWDgolBj10fD2EIFuDhWhkNb5lLmD84sYczzVNykFIQiUPZpqyCH8TyQ0mQOVAmCDCJGjLay8wy1BK4gRMGKCKDACDSCoyAOimgUAMjeu9AxscuPfBgEoCyQ1CwgZyAFAyJaBg8RQmCbK+uzlbRkAVKugEklnDgowgiUQJQQaDbdEYDL/xq2ShnXZimX/5CtIxt5AghBfyRUxgplvRFaZ0UEs6BYygtHJCFcJYJIAGiLW0+/ETduPo1nX/tmnNy4BxmPMe0egjkiDiOEK8BDBZ09DJK3DJjrir4+FfHksHaPHj1eLdEBlB49evTo8bIM3TiuyWJJishTKUchLLMIZ6Bwgs14gjieYtzewP3nfx8ZsIRrB6QMDvqxYDuykn1XFxDRHeRKabek3NM3oSZfcYBjzdIASkmQl8Q0bIHyZgdiBE2pgLXDQYK9ZKMyWUQ0+VuWBBEkU3H3cfFQTbwZzOq0YRKmJUGvY9y4YwSuNrTSuMIAiEyAWB/92EERDckqtimNq0t1OfL2NNI2ZUBqAlgciSCLDfaWMeAlPOsQYMEEqYKpzbEOfI4a/Yrl+ZbPt0wYgc+dueEIX3OM+nhRgpSzgifZ58vXElU3GygQlTPvHSs3zBQ2G9+qwbFMDEv7geIS04rm1jZTWQeCgmSACAg4pI9ChYGhbTaQqQF7lG3Utr2ZlwwTJhUopMbI2XV3pLzf21NAP1vFBAePtOSp6gJ5b5viJWMrQeBSOzperDbfydqRsgq++ipsC5O0zTbHQs11T+U5QH8FqmtatA6wAI66dgp80hzdx1/vB/oKg5CX7XHmWelnaUjpV30dBSesZTuq6eL0ngISMlDvNKIq3FBHNBFGyqwllPEYp7dfh5t3X4Pbz7wRxAMEhHQ56UEi2/nrvFPz32VQ8+p+OdFLik8fBtOjR49XWHQApUePHj16vAKDGobGCOKGuk/HCEcnCEd38cbTLabLj+HB778XLzz3ETx88BwePn8fgTKOBmA7jhgCYXfxEAAQY1C2hgMHDtpYUqE/GaU059ov6bqD7FKaC22R5j1EEUS17GbtlLMXdWsZAAqgoZ+tJTJ11z5DyIVnoQBQy7RonFSsReZYdH0KIyKYprkIwTILmBUsKmKqshTn9Z13KWNyKNoksrbxOtcc0BJcuS6yOd48qlwD0KS4sj1y/Y3KUnANGAcHhhiRzCKYDbS4rvyluvXUMglvUiiAT8vSaLoKPWeS6oaTc0ZOSctqHLDg6voCLB132qOFEBBcPFhca0VK0l3euQboVsfxSClbmZuAKCMkvYZU8PZAWVMD3HkJliTT7zGnJGU1rc9IWkpj16bkytq5NmRpUm6CRvrQ+g5UG2sXaB2GoQEqDCDh9RrdX7Pl+XYorxlCMZtiduaJtgBijBTJ9dxsQjBs41qZSIfbQtyI0xZgh0qz2o9VgMruq+T6NgFXu4zdLIibU4ybE9y8dxc3774Ox6f3cHrncwEecZEHBfCYMRyNjQvW49fO8tmOevTo0eMzHx1A6dGjR48enwWx3g9/CbFIFOoRW42D+vIAIiDyTYAIRzevIHyKYfsCLp7/CGS+Qk4PMc1uKTuASJCJMAtASUAB6ngRAsgdfAp4kqDKtAqqlLMLlTKX8tMkJ/vDYuwQrsyPwyl0MwyLYZTV87RKei1pWpWkVFtjF+5sT0plR/+6kKbMRQEOY0dkLJgTy64eApHWB6ZVt64dhVXvm/OgMisqCKIMmkeKvBpRSEt2KrGJCPvgCXOT1DasFFwPoABYgEG+bpeirUsAY9GvtiylnUt7VktOWjbR9e3QYeDmOHpufbwECA4dZs0pqGUQS9ZDFiD49UpUzlP6YIdwgKidM2U/sbW1Cjsza6kbQBCqFsOH59XPlZs/l+OYzd1IxEEJA2VasWj4+NhpxECO9Vyt122ZzsPr3l/O2hi090kSNMCWHZW4rjUbE4JAqOXIrNko3PwYkCJANkaLtkPBV0YEUYBAQdcpEQRbDOOI0xtPY3N8Aye3XoOTm09jc3QT43iCjABJUIcoouIwtg8XN+PyiPhUgyjrdn2C/yr16NHjFRgdQOnRo0ePHp8Fcd1O7ZN/ev/JJoHZ22S3BAs3EDbHOHnmLk7vXkDmK9z/vffj4sFzeO7D78fDyxcg8wVOjo7BnJEpYc6TlgIIIwRC5Ki0exDYwRMA1frYtBL0j5okkjMw9DFZm5t0DCImRFuEFqgmZovkawmUeILsJSZ6aCq75CzOQKhsBLdnLkKuqDa5ytTXJLQmaJUlsA4v0an6Fs5GOSyiWkpyigPS8tiyTjzrK9i3VjmUni3OVt4mWcsxClsmHLbodcaAllO5La2NC9FSsNaERJU5oeyPfSNc75csHmcDrtTVxRPitk3Xs3N0qp3d84mEGLuDqxtS1jRe1wZKiY342NjnFuuweUmc4IAF2cHwgPbaz4vPe/kTIODgTJakiqPwcbe1Y48C63+IspXhkI3jGoiqj0WqY08LoiiAota8ITgDJeh13MJCInAMpuqiODhxKA73+VA48KT3A2raCEBaAWEq7CJ37yFycVpn5JnuDBpRXwoqHGwAipidTs4JkhNAMD2WjDEQIkXMErCbBA8eTji9cRMnp3fw7Gs+H0c37uL0qdeDeAtwhMhWR2EQMFRP5UquDNi+7qr4RP4l+OREB0169OjxqOgASo8ePXr0eBWG7l5DRogETTppAGLG0VMbjDcf4vjm07g8/yimi+fxwvO/izRdIs0PESyhHRAhCCCOAHGj2SEAApDVvaYkW85gqJQTJ5gAQrpLvCAYGMAitdRHXW6apMyVH5uUo9UsaZNaFdOM4MRVA6XZrQea0hQDetyBpdgho4IE4gKwB4I5QFBBE//ZAyea5Nm74e2mZhxUA2QNsrmrSdP30h6GLAoz9tspqGyGnNX6Njaskb13Z2dANCK4OYNMxNbLYVoAJYRQ3ltxhio865HNSccZKCLSlO1U8Ou6ciWBHY+01GQYBrg2jQ+kM2PcUtjbsh/aTxdKXZfwOANFmmM/LnSeYE5P1oa2fCgfAL3s3GygX856HbRiszmrVo4fxleSlu007B/m2tdykTVgXfaXCzIBgEu50IJTQwTiAMmzAXA2TjmbNkvAdhihYiFPAmb5uq6lQ3XcdJxTFuyJwRoFqpY6oRlTfw9VBllLPNGjKyBLpnVioDJES/+yCBIZeEYBcbPFLIxpDhg2Jzg5OsK9Z2/j7OYzOD69je3RXYThGEhHAG0gEiBJhY05RIeAEPw8PXr06PEyjQ6g9OjRo0ePV0+UJNYfGBMlAzDtgOF4g2Fziu3mCMPmCFcPT3D/8gIZDzDPGYIJjATOJo6anDlRQQBlEHApnYCDGS0Nn1CSUQdRChPFm7nYqufymEoOaSURJflrdqdXOYqXmrTOKg5sOGtlad/qiM86US7qMtZGKckummRuyVahRcJcQZ7msEVbpe7uV12WFjjwshFZJuGoLBqAyjH2B4P250RqIrpkVHgfcTDaspxiWdy0Zz3eIBRBWGnAEois4YO2uYsEePnO5ST7+du9fck6ng42ufMSAHNk2j+z6pWswRoTy8USsWighcUjacaBmEFSAZTFepB67H0dGCl9InIhZTQgwWpwCvODqtkNkQJ6OdV1vTd27Yr27vpabtcDleecnSLGRlIAhcHkYsuPAlCcrlLb0QI+63YVkKT87S1q+7IET5bHoOae157XmSf6I2BlC0lGJkEmQRICc0QYTyAzQzJj2N7G0fEZ7tx7Fqc3nsb26BaArYLQEqH31QCR1LQpAyTgJwKVevTo0eOzNzqA0qNHjx49Xp0hBCAquT0MKHUGOQN0BGxPsBlvY7x1heHuG7C7uI/z538P04OPYr54gMsXfh9Xl5eYpxdwtCXEAASaMUTGZogYwmDCnjs9h9mACgSpsDfcwQfQpGpVZmBOPaX8QIB5FgwhIHCAYK4MAUEDdphgpzMhmJGzYLfbLYYg5YRM2axTS6GAnqqUG9XEa04zKBFSSprIMhWrXGdy5JwRLDkOISyYJy5wuh9qu1qSR9E+pFmPd7WbQMQIISDGaGwaFQYm0jaolsmsji05GbmFTO/SnUnWCSoQwmBCt4JhHBBjQE7OTvHj6pgoO4UX4qUhMOKwX45wsLxpNZ61+2zlJxUkg0jJeefCglgBSeUhrRgr9etdpiVIIgLT9bHXvSQp13kchhHjOKpoMilQ6GPMTUlRxgrOKWVjQGoALp/H2oZcQIDYlHKklJCTsoFCCIghIsRYzhdDQB4GK7Val+XoAHNTdqPlUD7m7njVlK/YWMcYF2wbfxxjwDCOjfCyr/OEadK1xqxiqjQMajNOETGMer5VOZWDLXpNS5VQJmAY2q/kXnJj81zqnpYRONia4tLPRgO3Ai9lknQchNy6mCDMEKiAc5aALMAkBiwzYydApCMMR6/F7bO7OD65jVtPvw5xPAZvbhjww4A4g8XnM4NjZbft0WB69OjR42UaHUDp0aNHjx6vgKAn+25eaBNkgppLWvyS6aEAAThigIB4A6KAedgiHT3AGCKmy3NcXDwPkUvMecacE1ISSMpIUct6tKQjm4uH7yS7YGq1QNYkpPIntMTHE6O28U17XZGxUAFcS8Xf1bqE4OBG++qIfnb9NLWJt2VmpIkZm7MLm8uMvqfu2q+BispsOXzWdYIllhjq8cKCBNM+3uNuFD0VbWsVcHUAxRJ9Z41AgEwgzmW3vBAsbPzZGEP13M1oNaCBjdoKhJK9MV+839qJgn1pGzy5lvLflrVj7BxoSc0CfNpr1zVCr1KP7C1f/l6+t5Q8NWygsvwORfNalrb0pu07LIFHKX/yuXPHoMC1TMtbVkt0VmvM1iyrbU0FbQrRaM180vEJ1gbVuEmlv25frEyoZefc3WfhcEQRbjH8uOtMpJmXPWDPT+pgKPnlDaACgdwsyqVoM+pnABRmm6iwbitC404/GWpBLM5KIXUcu3nnJjabG7h99004OrqJzfYM49FtcBgBbOr9x0tznDFk/VDcp2XQ9OjRo8fLOzqA0qNHjx49Xj2xl9Q0SXu7K22JtFAAMCAMI8JwA9uTW6Cze5DpIeazu7h4+Dyef+73cP+F38fu8hz5agYjY0cJQ1Ahzu2GwQHgIO7+Wa2AKRfGSPkp5RyEwBF1n79N2tv2Awo0VLtjfU8LRhiDgngPcFBHHWdpMDIJyOxRtWCjgj3tADIzQqjJ70IrhTSpbKNN7PbG3v5eMl48GSaEEO2c/nnVv1DgIS/6VzCwUMGOFtCp4AjZZwjCUtgCkmsfXUz1EJukChRLKcfxMfNIKe0DPM2xPclV3MQeibun1Kj2wXWtFIaQiOlYHAZKHhVty7zcqLU5drBGIMgpGQulggnEXJL/g6CQs1fm6+2mw1BZLjHul3eEGEp7EqUGWGh/7Lx6SmSodbaWfzlQZEVBsu9AFGKAOkUBKRkgyFCWSM4L8MSBnsHbSrUsShBAwk112KGyoKbNAgjlcv3VkxgIo52Bgyjt9e7MMr/2UkqYpknbbtegWkXzEjASh2wNKMmMTIxEASkHdc3hCOIBPIx47Ru+ECdn93DzqTeDaANg0J9MwNT0J8YCnoCyrWc/6/L+1aNHjx4v5+gASo8ePXr0eHXGtWwMWf0AarZqNPXAAI4Qbp/h6OwKw+034vSFj2C6fIDdw48jT5dIu4e4evgAV/MOu4sLBJ4Rwg4xzAgsWobCmvByqKwIT5JEzAKZlJlCpV1rnYOaiHny3eYprtFR/17vdGu4+4xIBouAQrWwzVbuUc4qAJAxTTvspvKEASp2nJSMUbG0SN4f51YQtwrFOmNESNO8GIfChilVPg2zw8sRvM/FtnbR3+b8giYJr4l9SgkZGSj5f23PYmBLX5Z98jIP2X9pL0JTB1Smz5gSyFIAqApglYYbaOWfpmLmtOzgk4W6BS2BrCqkqy4uOSXM84yUEpLhdMpAQimjaUG0RUseITb84mMNnhzQ0yBlFWm7kpXzOKzlrj4tGLkG8mrklbitri17f+C6xmFz76KuZi0sq7IbX9cr6ApZBPM0lefdMcedcfx/Lz28H0UYxgAUgpbvDAAiMo3gsMHx2R3cuvM0bt6+h6MbzyAOKgwLex8wqGbR0HRlIb7sd6xP1rz36NGjx2dPdAClR48ePXq8emKRA9Mqb1oDJ03iVHQTGGABEEHDMeImIR7dRAhHSFfnuNqcIu0uMF09QKaPAVfnmHewHXzVH8ku6mmuJCDSRDTAABAtAlE/1DZxtmS+pGCCtgAIUnUTCLVv7eNrh8UYAOU84iycBR/EEkYApjORJIPMZjlwRGAGc8C8SjwPAyjAMpGszACXcvG2h0Vy1mppLEsyKsuEigaK/n3NDviqTZJVS6aIrZaxcWCrba2jNwf6IupiUoCg1XlaIdfSIyccmGtKHf12bloqRNsWQNJhUOdJYsnQqYCIAwOtU1HOPi9UTnUIlHsSOswhltSaybIsvansLBTAzP5eHVfXEINZdU30XFb6s3g7LdbR4lwC+yyX9ahlO4CW3BU0rzBcHAVr2S9L1lVlKXkJlEDdfCoiaOCGnTNyrB9vQBmB3iLa9U/+OV+z9l9ZzIfplhhrBggQRAzDCeJ4jNOze7h5+zW4c+9ZIJ5BKNp7quAsgUxWZjXPFWXt0aNHj1dkdAClR48ePXr0AFAS1NZ9pOx2c8Uw+EhBlJz07wgMN88wyIzNrfua0QSCXDyHdPkAL/z+7+Dhgw/j/MHvYZfuQ/IO6eGEEICBCcNIiIEwZN3RDyxwDQFalPc07SIpiZc0TTUuCGqK1gqLwjogq8SuMjQYamsqEuzYqQhOriNLQspz0UHxJLAId1qCXZgskhtbWI/avhhHBNK+tdoterAWNKk7+Gof2wAHLeOEniyNI1LLYzRAAYuVjQQ/1yH2CdCewW2JW34B0wHrZn8TLf8s4BeRgWl7+A7aufJ+LzVW2kT9xSWxCjYwmKvDjM9fFrU1nmcDhcxNh2MAh4BobJoFq6YZ/0i8KI2qrTX9EVsf8zwvRWRjLGMCaBlYToIQhqaPq4Fc9akt2ZIsVg62fOM0V+FYL4FpS85UgyVUByG7xtTm20V4rUxNCOw1PIcaZa8s9WPcDcu0hKgyT7gwZpqyHvtgmnO9MkRBzIX2id03KqNFSxKBEQkjBBEZG2SMEIx445v+H5zeuIuTO68FxWMgbO39QE4zHHThJwBll33vgEqPHj1eOdEBlB49evTo8eqMdY5ZAIYlvb/Q8JvEXPM2rk9TAIRA4VgBFAYwAkRbHN1JCCc3Md66g3T5HNJ0gfMXngPyhCQT8nSF3ZQQMCMyYQjAOAbVX5Cs+ilMIMuqs+TSzJKcR6gmgViiZQALSHeyudEjgDhvxRMxy9Ttsb7V+i2227wqn/GxcSFNgEBCCqaUne8VUGOn5ANU/zqOzkIxwIgc8FmzTqQ8nxtxW0Jr8VoBCWBlo1z6bECB9YFD1PE24MOZKACqFoa06akYmyRYoZW1bZEv1iR/uVkv5a06/NX1qLJP2tMtF6yzJURyAfqcaVNKwqDiuEurZJ8XsrVgxxYowFVYTc7+sDZxQIhkDCoq7V4SY5a0mPJXGes6j6rRUQG2wjwhKFBhP8vQOcnZWmngAnMtcBEhBesaQCtQACgjs6A61tSmVWGXqmDDYF+UIEQQ2KzJKyPIZ4SR4XVUa+ik6MFcCzoYfEYOkugZpTyqTJsWl5HF7+a+RfUzglyYdgqQbZByxDyPyLQB8Yjh6CY2xzdxdHIbp7dei83xDXA8Vb0TGXWMy/2uWjO3Wj+0frAADT854MmnU4D2yeDHF9uvT1/7e/To8amNDqD06NGjR4+Xf7yE76YFLynhZRLLBP8Qg0CTIqMJALBUGghHgFgyFgZQOMXx9gaOeQLoCtP9D2P38D7yh96P3eV9zJcv4PL+R5HnS8g8YRMJm8jgswgmYLebMQwBcWRwVGZAygngDGIgsO2OU7VvJQm1/ABebgAAGSq4mkuzyxi4i075j+ovqJhpMKAgL8aaPbFCTfPYS1MIC/vfdtwOOfQALhDrDXDZSQcv0t779T0ZvgdPWJZ7lHmysqLQJOTZWBWQDMlJSxMIiI1g6TrSPB18nuCaIcakMGYSNQCSowkLEkZJgKUsGRfgdZ0OOpCI+jFd26MI6LLBYg6e8NLmV2zu3WWGREDJ4ZNm7ESBKyf6aALOCJHAQbC7mo1tJKCspWjV7OaaCzErY2aeqoV1jBECNlCjWh4zMShgIWbroewYQpoSsgAcqlNUYVMZ9ubaPcysIrHMjfPWclxdBNjhEkX6HNBQ/SOykh0Cg1t7YoJq9VAGUTbelr/m4r71fLkgH/bh0n4+MHq1TGghBOuP3HodXr5nZTkOFOaMDLUcBzPCcIR5FzHliCQnCMMWp8dP46ln34inn30jMJ4BrAwVkQGQWIHPR91jafW7jKKUtu3DDYevs/XsfLpjryuPjCcFUTp40qPHKyk6gNKjR48ePXos4qV82XUwhc0m1LffBcQD1CHnCPF4AG92eOboHvLuIWR3jt2Dj6puysXzmK7OMV2d48HVJSAJQMAuC2gnGDaEEAnjMEIwQ2RGmmcAAqFkwA0sebddbWOG6J+Equcphd2hSXIVcAUsCRdN4p21kJt9bQeMWr2MwGGRKB6y1X10vmGZbxP7xi1rBIL2WAp+3jTP+g7T7iiMGVI2RRZpklJNYEWsDGNBUVBggUNo2C/2mWsANm+dSFbUxPVEsDq0zYUSILQ9QwwIMQKyTjClnN+dZAIL8p6Wjx+7jmdheSwgLS9NWUbRj7km2IAFDrzQcVEA5PBnxPriJTl6HAVIYgwK3uRsc9BqllT2zqKNzIulICJmVqOlRskcg/w89iFc10B3IKonaMEJtrmgwniBgxWAXnd6FG9NGY86LsrMyistIL1FuE7OwZZZ/w42e9UWA1HIHIWIkFlBtnlOyEJIl4I4HGNzehd37n0Otie3cOOZ12LcnADjCUBboJT5HAY4DjbhkS9+chgoPXr06PHZEh1A6dGjR48ePUq8WPBk9X7n2ReswBNA3cGmAISwRYhbyHwB7B5iHLZI0yWmixu4fPgC6OIFXJ0/D8kTKM+Y8wTJM2QWRBDiEJV5kN3+FEXgUltUWQ8kzY56rcdQ+KPkpquaACJL6oCaSWc7sgMtuZyp7trvgybLkTqc6HscFpltSxQWz/pBr6X2CypwQM2OPBGDQgMFrRJx8cqQxankYPsPsQYOOg/JsrTD3we4UGnLVHEWTz1yM3XN0/p5Xqy11Rg0ZTMOoEByeSfTfpK80JBZzYkzW8pn2zYaGHddqCV0aJ9ZPHoxabbr+bhYbMvO8T5Xpo7q2mg51rK/i7Kh/ZkEYKBjy24pukFrroL3n5r27QNLxeq7NMIf8WoQGtZGc90uz1lZPwJAXEQWjCSkDkoAMg0QCiA6wnB0G8enT+PszrM4Or2Fk1tPQwViAyD2Y3O7zyhqwZ8F+oj9WLJ8evTo0eOVEh1A6dGjR48ePT4VYUmUQAVWVUtltB3rgJQZs0Qc3b6HIRC2MuM0T0De4eqFj2O6PMf95z+Ky/PncfXwPl64eA48JewEkN0OkhKOImGMjO1mAFMGU0aSKy31EageLhHAEZrEBCt5ERDMKhnL8hjVeQioMrXWfmO6ND4oIOxRRPbGoCSMtO9G08ajXrsuAXsUKNOez0GEOSXVgohS2uYAVJvGu+DpMuFuGTrL5P/FJIhi5B9nPbgeiQMB+7bLq0RUAIBVa4Yds5NVmVO2Eipgd3VlDBzVsvHDK/vj8NdAf89+r2gh7OoirVm0REcZUfsRgorNcsN48fKjaZrgYsBe9pVzRggRwzAcap2WJxVQye22D43Xo8PXsrNUqtCtgTO5MrCe/LiFa6Q/5GDjI9YwAAjbPaIZ/EbLpfCHCtjTXJdFm4SQBEiS8XAHCAYIbXB69hSOjm/gzlNvxOmtZ3B693Ug3oAQABByMraXEWx4SaZpG1t/vShMpDNRevTo8cqJDqD06NGjR48en8RwFwzjF/izKGU+ntjzCI6MTKYzgAgKG1AQDCcDeLyEDCfYnD7AfPUQ89ULIJkx8g7Tw+eQdg8Q0gVEEi53OxBmTaYdVGBG5AiiUAGRBdNBDMxZsxBq6c7yx8VD2532ZVLZAiWPBkSWUeRNi/Dno5PVWh5xPevFy3VUB8KOTdr+lFMprQhBdTWKSGeT6LXitSGEyjnY25hfMTWsjWRJrqePVY9Y2Rje35SwGLMKhhgLYkESMnFYLw1hF01dles07Bs2PRQFbprPPqr86GDCK2AODXC1puQcPFwR4w0cmve4Ho8BAWx9F2XV8DVaOYVtRVRAmBaICiGgJbows471gZKUVtzY21m7ysiPXIYCyHKtt8LJheIl0LI++Mqi0lanQKlFOJkQsZcT+crRKrCF45avC7MWFkT9HBiZBoAH3Lx9E8PmFOP2JranT2EYT7A9uoVhexNaohPV7UcayKcwT+wOUGky+91/Ypyqgyc9evR4ZUUHUHr06NGjR49PcqyNRN0RRfMl0w0JASFsLPnV9wYO6nZydIxwlDDeuAdKOyDtgPkhkK6A6QEuXvgIrs6fw3T+cUy7C5yfP1frUZgRAhAHBmgAS1AdFJi2BAAiE5Qld9HJJbnT1mtbzckWmWynu2XtN/8VmGMQLcsQJO8DKYfKQiDLhF0ge+UlraNPfbwvNOrvdYBCiAAv47D5yDkXBkUVr/UxattXH7NZxO6fK1+fX7YgBVnhUwFuQmmrgzeSs1kGLwGU9rE31TVEyEquVCC2igG3AEoIoQApzMFca0px1z5wVECy/ajOS/U87WuHwoGehc2xCHKuQJIAQEogyVqKcs2x9DwVWBITqG376uf03yEELWdZ9YnJAa6WWgG/aK/VHmldjJbP7Q9bO5be3voH4C5fZFooWFwPFcgsnC8fK7ABKAGg0YCUAMEGIR7h3mvejNOzu7h1+zXA0R0Ij5guM0AROSmo6lQTN9yqNs2qA9Tyb5oOvYh4cjYQoO7wyzh0sutQuhd1qkfHNcybHj169AA6gNKjR48ePXp8isLTHldulZL8qkuGi1DWf4prShuhjJUA8AagBIQTQBKwmTAevQbDvEOeLyDTDvnyHGl+gHm+wAsv/C6urh7guYfPIV9cgmSH0+MIQgLyDgNnBALGyAhMCMxldz4j10QeGUKiP8gQZIDMPraq0cKyQLh97ONHpWYn1zFNrtc1WQIcgQ5Z3eoIzikVdxUmUsCKGVkEuzkVBoaKhWrfY4yL0prKLpCD4Ik2SgEPT5Rd00Rdb7RMipnVBaZJ/He7XXMM05uQamWswrJNCYcAMQyWt9dxKGKrVNtIwpXpZO0hY9q4MC+TAnbev5bNkSUj5YaH0iaUqWEmPGFimZNq9uSsLCkmt9dWwVyf1xCygSHZ8YX2KOWE8zzbOFN5kwNTbkvNXMGabEK+1zlqrbVRdMAVKFLxV5RxdHArhGFvnSrnqMKRgI19W5YDLFx/nGnigJuuFy39m7MKISuBzQG8jJyB3QzkrOyTzeYmxu0pjk/u4Pad12F7fBPjjacQ4xYYjuHisGE0lx4wMnNhSkEyyIR7K4Ta9mv/0YuJl2xB/JkAMjpZpkePHo+JDqD06NGjR48en4QoQqVN5ldo8E2ZgD7vCdW+WKN+VMt9CAyhAEB3jgkChIQQj4ExAXnSn6NLzNM55vkhLkHIly8gYEC6fA5pvsJlyiBJQMpILIiWLwYGolshQ512HAQo5sCM0vi2hIW0s/Ak+1DJx4sp4zk0nmtnlAPb+9efo3neE0NYSc/aTllgzABpyjrs/W3ifn1ImXfNjZcisuLtEYBIQZLcWgwttC9a/lLt9LpcqQIr0ui4+KeqpTG876g6K5KBTMY8KIBPFWAtVrsN4+XQGEizrrUNvOx3WzIGPTYTQbh+qDKQ7GyEUlLVjm+BG0p7fdyacaH99VCvy2UXpO3jdSKovk6M9dGOE/MTlqsVNom3vQ6ePswg4YZVI0VZSLtICnoQQ0jxqwRCAoPiBoGPsDm5je3xLZycPY3Tm6/B9ugG6OgWQANgArICBjigZTW1rdYhWIKiS+DDyvdeFIhRb35PBqLI4tfBlzsbpEePHp/h6ABKjx49evTo8UmNSrovfz7Bl35pEhuPhdNFSatyZYAEAaIAG0FIVwh5wjP33gSRC2B6Hs997Hdxfv/j+NAH34t5Oke+EgyUECAYAhAIiAQMg4IoHFCYGcQAkyCYOK0mmUkZNSIAnI1SQYIlK+LJY21x3JZf1LEgy2nrcxkqQnpwPK9JaovlsifxnpADmKYJ8zzrWJhuSAjRSmyuZ9cwByArS0cFUbMl2cEAqNoWd4iZF4KrhmaAwRS01CY4yMMNCHDduOp8rC1yBViUCimwk+F6q5Kq8Gy1OrbyoIVjTp3fRZ69GFezJDYx2DnNBihl01050GqpIrJZBDmlWnpk2iWHowImy7V2AK0s7d+jtJRXvKRr0VljeiQTWJWszBwvF2KOe/JBWfK1ub912AdycS6BYLvdIGfg/OIKc0rKeokjiCMQBlxNM6aUMEsAeADFY9y883qcnt7Ba579fAxHNxGP72K+SJgzYcAWgghBQBK9v2RbJ05agnHPCjAqae8OdOjhfqxf9HvZ0h79iaIzQHr06PFZHh1A6dGjR48ePQB8Ur+5l/xOMxWHVOTQm677sCzUGVDFJU1DRRpmhCfYFFQYEgGIAduzAWHzFBDPsLt4gKvzj4PzDpBZ9VSyslgSJQAJJDMIAhaAJYGyJlyBTXTVuTJWmiIFzAFkkWtxbdo1w7pX/kCP/vvQa5LzgsnRfuI6JsLicQOetGwR/v/aO/Moy6ry7D97n1tDV7XQIINidyCiDZiYhcvWaPQLEMVERRFcTnFFMEZMnIhLM5qE5coKRhwwKxNmqeBsANFEHBKiTTvQikSIJgFl0KiI2rAYeq66Z7/fH3u/ezjDvVVNVU/1/LSoe+/ZZ5999tnndr3PeYdo+OvneT6Msl9xDm44jJ9aY4BY3cYhKQ5dnhlNJIoCKpzEZKoGcD1ZTaPXU7wIpZDVl9y3JQlpbhTNrdKwn0UM4PqFJJ+ENJQMdibZziOupQuCk5NUflhEehPcAvD9R6+dcpzNzK+590fxWUOwa18TLy34/DGAWIFxBmJ9zpXm8FrrzR8oHjH+Eik/Ct40O3fvhoiFEwtnLGoBhnMArIGdnICz06gGFqtmZjExOYOpmTV4yCEPw/SqQzGx6nDYwZTv2hqIMahlCMDBSQVnTPQ2AvwyiSslaVFQyTaXLf1Qw/7JIao819a1CtdFcnmmn6Ka1oj7lhBC9gcooBBCCCEAlkpASQlJtU9NBGnaR2jYBqZ4Ol3IAdl7tYRspspUwX6u4JyBmAnATmP6IYdjFQSHHL4Ou3c8gK33boGb3wFXz2Fu11bU8z70x83vhLh5wO3yuRCkhsW8L40sNUJZFFRa+jgz1J2KBCa3xBw0m0K7xk/jk65pNy07KjbMjV0NOYm7mYUFCsSkrR3iCcSHuMCEc8tKxJZjCQEYtcNwfhhFh0HlPUiMtXBu6PN5wCTvlJEhH8HrJKuUo++b425NGCzQEAa6EuIW5Z0bQotP9lql8Kbm+uzQT7SvmNA2iCfGWMA62FBbpouUcyV57eh7M8KDKCZbVUkvaY5BX2wLIs38OalUtWl4F+loHawdoLIVbJh3Z9XDSEW19hjjuYq/bXRcZUWucGzRNSzYvnM3YAaw1TQcDJwx2DXv/H1XTWIwNYPB1CqsOeJhWDV7CA5dczSmZg5HNTEDV0/4/CzDOh60lnlATOirP7mvxLw5aAi2+sqLoTHkq9GH7Uy2m90vXTu1xpDWbS48lQmjy+9UQgjZV1BAIYQQQpaV5IdSPsA1cVv7mW/7dfGJrVpCizED/zBeBkHWqDEUX6sDYlFNTuPQhx4KYB5ADZE5iAwhMgTmtkKGu1HPbUc9N4d6zgsr9fxObLvvp7AYwpohKlQwZggTfsPUAIYwRnxBj+BuYpFycKh8kMYq482f8IhcMredGEJi8nKu6A3zkBGeEhKkA4lzl+k/3tXC+9fUKdRmYmKy15HCWOs9JkyoXuQcTAhDMSYIKfo0P1TtqaqJZi+AeI8HW5noHVM7Bxmq8W/79KYytCkTaTQsRhPYGuOTBwPIyjnbUKHHpDwmrqwuFOe/Z0Z9FaAUEjQYVNCKU/XQdRjZQbAJ8+f0IojAhFwpem6tMBCjHg4mGOBpHlKlnUYVJ1eXeWeKcXQY5RIS0kqdQnhU5IFgUE3EueomH7PJ1ltKXAzAz5GxQDXlw23MJOzENKpqEtOHrsLk9CwOeehRmFy1GhOT05iaOQS2moIdrILDhC/QNRxCExdrmWqghmh+pSgspjlRhyWtduXEoFJRNrYzAHxVJMlElHyOpENoSyJrmFcpr0Wem0dCP6rBiui3Yv5tGV6bxjoghJB9AAUUQgghK4jFe5l0PmXOE8Y2t3W+ScZCKZWY+MRVfVX8++wpde/Iwhj8QNID32iweKPVGQDOV/CoBhbGTHmD0cyHvWtgYgoYzqGemEU9OYdhEFCGczsxN1dD3ByMzEPcTgBDiOyCYA7AHIB5GHGwmiHThASb8Oa+MQg+CGGunJTzYJKMlJ+ahJgDnYUYfiBq/Emnl4TOgv9v4Y4RfznnvPEHiV4rSUTxT8SNpKSrYeBFDpI8cWn0vui8Rv65vhHVl2yYE5uNNHbatuP1f1K2LhPs5sZoepqv4SGixzZI3iVIrw0aOUo6vGTie2m8TwONv32wl4YNpfaajDXPOWIyocQGAUo9eIppDH1nvkL5cGOjWGK4RTMPS3rTvo3V3cJLkS6kHHK1i54szriiv/Z3gq+/heDZIbAQ58WTvHSxQwWRAVDNwtgJmIlpTE7NYmJyFQbTs5icnsHM6odicnoG1cQkqskZGAwgUsE5n3fF1brWBU5MCpsLAkoSmVR4SmMWk/KU6NwZUbkXXtyRpIEUArDod1jHfAug8ml7gsOYEDVXL8SErzFRYazwRMnG3xLU0FwSrc0j6cwttPh/KwghKwMKKIQQQlYYy/SHcesP+PIDEw2NwlKNv400Pur8sz9zyUiWLCA+2MQ/2Jbg5eBSa18TF04AEwx4bzQLjHGAVDDWoZo6DNWUYBIOwBBwQ6w5ajvm53diOL8DO3fcj+H8Lszvug/D+QcwnNsKwU74nCpDiMwDMsTADGGtYFDVGAwqVJWBNT4jp6tdchMI4kNV2dLIijawenXkXiZBDTAuOKqoOpCJC9Dwm2BuJ7cEn+B0ft57XRgLOxiEXCPw4Q/ZU+4q+6+oFd3wbNASyUAworP8LEmI0KsvGOThFLkoEkUCKT73uVD8YcWpKBK8S3TOXOmVI9qNZPvH8SHkOgEqU8XGMtQ+kheJH05zbpNh62IYjO+7QihJ7ByGGq6U5amp67JvYwwmJyf9vsYAHSWp1ePD6WtBWS5bmkZ1003C46vcDLJzMTF8Jju5rB8/3652cd61QpEPl9kNY20cf17tpw7ige/Dh7MYO+ET0tYG4ip4Ic1CzBTETsJOHoWJ6dVYveZIHHLoYZhdvRoTU6vgRLBrbuir78wZYH4YrtE8gArQ9WQAGAupy3pYKp6kvD9hMYXTNaEyjwBwsF44DJKnZj2SEOrjWtqUDd8nDW+fXMTKBL1yv4bnWKnPtcWTID5G4blIrqzffWgJsjZOTh/j5BUKKYSQEgoohBBCyCIpcilkr9Oz9KZ4AiRVIPxuWgotQ0O6Ho3HvmNVlWCwFgkexUGkTkaTS9VNbHjSq0+mEZ/8upB3QjuxEFQQC9iJCVSDVZiZmIG4edT1YXDz21APt6Oe34bazWE4twP1cDdcvRv13DbUUkPqedQQ2FowsL52rtQOg6pCZUwwaoMRKy6ekx+WnycB4Eyjukn0uFExJcxFMX6JT7Sb18Kq1wkkJuP1u3bnikjzHTxK8twMjTb5e6fCRvB2KVrnQlkmtnlDvU7boAJIul4mGPMh6wmsMahsKiE8VIFBpPCOUW8Wp+MUaWpPIxER1HWZLyQXDzTEpVi3xpTzVbpteHEl+8zETemu8V1qrpSGQJC5p/i5C3tJeSyvi+XXLA+/CfdEh/BirMluaRPnq3YCqR3MsI7G/ND5RL9DZ2Bi7pwBfHDMFKpqgKqqMJiYQVVNYGpylQ/dsZOwq46EGUyjmloNMVPYNQfM1b7ClAshWH4ZRIkM0SsqakdlsJwJHijW5qFfceUHb4/k5aUChREbPbMATUqrIkU+R170Mq4UhmNoXDa3BVbQoca0khrnXijxIkjIrwNJ18skEcXfZskLR1CWiW++6gvLi98vgkLwHb0TIWQlQAGFEEIIATDeimxvL8MqkpHaaFD0kQVbRNGkZXTq9hF5PHx7Fw3i5MigiUrr9HRa1ANFkOVrLDwmIDaICYqBoPbGyGASlXGYWvUQ77Fi5oB6J1DvwNyuBzCc342dO+/HcG4HhnO7sH1YQdwcnOyGGfpqIGJrGLGAcxgMJmGqClUFiKsxP5z3XhTRyJYgoIT8DE0BxX8ahp4LKDr+TDnJtBZ/Vkj5NQzivDuXe7Noy/J65CJKlxjiczikkTop33einjbxGCjmIR+LMTYavcmjQGCtwWAwgHO1v8Z1WE9Gq8gEbwtJISg6LBvnoVzhfSZiXdcQ0bClTOiQtoeJH7M3wJvCiAorrrH2m4mAY+Jdp94n2ZShkZg5eLxIKJ9rsnIzKhj513E0yQiPIVtp4WiyWp0fIzYew4nzwp+pYYzAGouh80JDXVsYM4A1AxhMAGYAmGlUgykMqilMzxyCyYlprJ49FBhMQaop2OnD4cwEdrsKrq6xa3eojGUsqoH30jL5Qg4vRSQ44eQnqmvcCyJibcvoF9gQNpOF8JjKe0qJhlgZnRrvl2RKMcJvVIGukecEOqZSXAHgQ4SclPuYDgGl8CUxUG8jCcJgNg3pRRSIw11lktdKa3zxRVvMQfHdrt/XKqaVAiEhZGVBAYUQQgiJ9Bm7PZ8Xf0w32iSVIrWRhoGpFmHTekUQYlz3cVW48aEMzdK0XkjwAkoYY50qnNSZ94W3B4J3hHp/RBOphq8cMwwGqcPcnBdDIPMwsLCYAcwU7ITDKnskMDMPyDwOPXwn6uFuzO3airndO1APd0GGuwA3B2AXds75qj/WOFSmQlVVkHo3IDWsGqQ6BiOxUkhrhgpvhob5r4Z4Xu4ZgEWV8mtkBreDwFZ+W9fxXHaZ81QlheklZXlbNfpHPu0W+CfyeYepO8BfhXCNU7JQcepxIeG8UliDqfxvFU9GEU8r0/V6H8obg9nZWQAmzFsSOACgrodJUDGplLW1XSEeHWMJ10OP5SsZ+bU7rFVgMjEhbmt/I3Amee+okJJM8Xw/v+ZFQ1ria1e2QQjFgr8jRHxuk9pYOCOYnxM4qb3YKBOwdgKrZh6KiYkZTEzOYNXULGw1AVtNYnJiFSYmpiEYAMZC7MDnQHEWu3fOQUyN2lbxQvgxO7ihaX11xO35LZBda+dj0rwnTAhNKyVaf33EWmhyWxjr+4xeHplXicl/Z+KFsbFKVD6/BkBVDbJ5z44tLtyDDRHEpOP4diY7pySgeLUlu9eKWz/Nib83XdFx7oljDABn037FfHatUUHhpUbthJAVCQUUQgghKxrJBZCOvCXNzwrjL/cWQPef3N4jxDfOvT9iYL/k3g35cRC3tcYM9VzJBRSJ25JRK1Gk0c9NfGrv4hPbdOz8GbBDLL0LB9En7sGYNGLhYGFN5UUXOwmDIQxq2GoS1s5BZABjVvnQnuFOL6AMd2J+bjvccDdcvQvhWXgIz5gPlUHUkHXByEP37AYvC70WhTEJE8fpP0j7Wz1nk3k46DxKmsnyUOEAhRdK99XJh5dyOUhxOfuEDX9tTfOTeI3yUsh6bSA+P4W16rmSQmukZ33lS1uyz3Tco0QUwPh8JZKfqxdzTEju6xPxInqa5O2a554S1Jb9oXGu6n0Q5KI09vy6W702+Y9NQlY0wtMtqB2lw4djQZPw+g1Dp6KYhYNJIS3Wh+xU1TSqahrTqw7FYLAKg4kZTEzNwNoBTDWBajCNajANF8ZTh3wjDsZ7B2l4jop/mTdFsXbyVyZ9Vgh/Eu4AI0ksyeccLogqmjDWhLbw8ysOaOXr0YOnO0SshEzVujF7bUMS2VYxc53TUtxsHypLZqv96FIxrnGfhFYiEJt/rvdtcwz6XZjGUB4vk1ry75i4NuKJtMbQppnAmBByIEMBhRBCCAHQbxD3N0siRV9TTeiqhrlr7AuN82h10UzeqfjSqS4KLLn4Ec2aGOvg+3Axv4gasJncUhiveaiMgz5313bGhKfVEozJEBJkEPKZiIORGm5oAEzCVlOYfYhFVQEG8xA3h3p+h8+XMr8b27fdDVfPww13Y4htPuRHdsNKDYshYJwPYxEXziUXeKR8YAwfsqEPoCW8zo2xiAWMOO9FISYKKDplnWKWHjN4IeRGVf4cPdp0khuTzfwsCMk70bIfx0b8aLiE9fNSwYddVGaQQrJMMvrqUMY4hqKYEH4TT0dSMtoFMD+fvEzy3z4/Sp3EG7+hCMkZeZTWnAskhAulJaqChmmJMCo8VJVmhvHCSZg11EMDn1omeTH4iC8VU9Ji0b1rgS8j7fx2n+PEj8cOpmBNBTthMTE5hYnJaczOrsHkxAympw+HyABOBhAH1DCAG8ANDYYuiIIIeUUQkiFXIWRIUuhQVE6aISNZ2FQ+tynsRtt4EcTnSekSnAycCyFegBdMYjv1QtHDhp3inJlwHlnFJEGccwEgTj1/MsEFXuQyUYjMxbVyfHpO6bPgUQMD59prIEotLuszjr2xvgA4/c4IAhPyUKSFCB56CoSQFQUFFEIIISuOcXkp4tPv7H3+ALZwSpFkHJRRJD4cxklejaUpoKQknsmIlUabrEtjvPs7kqGvOU9aj9KlRrJEXOEJkwYrwePBxd/ZifntMozvRedCxAsEYuPcuDo/n1D7QgTDoaCuw1NbmYBzsxAzARkMMTk7CXHzMG4ew93b4Ia7ALcT4oYQNweROTipMRzugDd3XJxkzZNiVQkw2fHTmYdz1vPzYU1VpYZqqKoCfR5t2gZR51LJ8rXEYzT3yQ34jh6y/DbR88C/KfrrOnzpYQQYa2OYTCpZi/Q+vYM3PsPYXRLVcry5mUlpYaz+jNTlIS+N6/vQvCj5Z3AOzlbRYyR5QPn1WA/ni7Gmp/X5PEgh1lQ2VJ8ReM+oLAFxLTXS2tUEwb7yjRdJMpEhiiYhyaozUbOoAYj4RMpOvNFuqwEGgwGsncD0zGpU1QQMLEw1gK18omUxE5ivgxgpQ0jYV1DHssMSDHXvGeLP04jPFQOtLlOErqRrY62JImaay0zgiNfHevEEEnLBmHZ3xt9HqYJNpbMdxFINp/JzVK4Q73hSwYZz1M/1e8dAXB3GmspWw/jbsHZJrDCm9JBJ5xTWQRA3kmdaEE86701/vZNGpOsoxUBFYUYQ8gqpN0oQdkxYG3r8trxdTHV6QzWFkJUABRRCCCErmmg8NizhImSi2KF7f5Nvj30FcaIQUDKjVfsO/5H0pnGM8rcGMKSEsQ3hIwooWsQzeJDoOalXBwBv6AUvBdRonWxIviDxR6vmpKSbeR4M75FivcDjLBzqICAZwFRwmIA1k0DlMKhWwaCGkXnYwSxkfjdkuAO1m0M93AVX74K4OQznAA0PgvFzGMWTSsctYVuYoyhMuZjMVdwQxgBOQthRNIRSudauJKY+jU0mCrQuUHbdRi2WXnEs5XPIS8C21l7RVVtcazcp20QDNfd66jhAEQkiSTjzzYMBq0PIQ6Oy0Il8P4t2ElMEbwut6mONhTZrTXG0Zb23gM/1YoM3iKgTFwSC+dqHfqmg4n+ZIOplv+MYco8UE/uqRQBUMHbgBQJjMRhMY1BNYmJiGqtXr8FgYhJeCAmltsV7ewyHAhifQ8iEUsMuCHa1DKEnakzl76NclILP/WKyzzLZCk7FAYEXSbJ2aYZ9CFUUFdUrJL+u6nHhb9ggKujaMxDj4hikw4MjXD5/3qZ5wfz4xdVpjqNrWPou8RWmyjEA2ZFiPp3w2pa5bLrlCv1m1M4s8mTM6RjZmI2KLiry2SDQ+bHFfyKyeei8L5tT1Ahd6/qcEHLgQQGFEEIIAYo/fsdWTuloJ8V/VDzJBY7SYM7NiPKz8QPUWj4uhtmUhrk/ngseKghxB35PMWquufgjMg+IN/iK0JMg8iRvDhNFFBVtxAV/BREY57JzFh95A50Kbxz6JLYDqGFnUPvEroMKdlDD1A+BdfOo6t2Qeg6QIWYPmYOr51DP78Lc/G7Ubgjn5uHC/xA9U2qoSenUgHQOJiTEhZ2HwGFY1+H4mSxkBJPVIBqbito6uk/zKbPkQkznNTPZ64WQmcHWZqbz6H1c5tGSRTCUni55zMeIIWkCWtGyxC54TYhgYAdIhnVm9EpefjlsC/eHr85TR+M5P9OpqamwP+Bc3Xnv5StcIBgOa/hEukAttS+ZHUKRaudCGJH3yvE/ExjOAcOhCihZZRYJYTXwgoa1PpHwhBkAZgDYCUxMrkI1mMTk1DQMKu+dYSYxrIMAEhLLqmeEsRKdzYyp/b2lRnqsjGUgtor3m1GDHWiLPHlYSV59xoWyw7othqBo/hPvAeKCOJB7DLno1WGTsKICik9EVIheRSlgq4JiyBrSEgSCqOTSXGtIXY4LSaEqa1trUYJoqZqFCR41ydOj+77wQlCHWNdsH28FiWKKdz4JcyfO50qK6l3VfbAF0f7eIIQcuFBAIYQQctDTfNrf02oJ+g79xJCaLo+DzGhHLk5kT8zHHEdTH4rUQRdpCygSDEnvBZByphgbjmFyAaUGtHJPbmyEfUSPmnkV+OOa5Ggj3uiAhEQRcFDvG1Oce/MZroGDgYUXL8QYwFbhKfAAkCGsnQTMPAQTqDAFuCGMm4egRhKCBD7Mx8+PkTqIPzWc1LBSw8kAGlqRcryEfY34vAp1tyeHhHClHBOssK4iy0Ay0OK5t57UxyOkp9xA21uj1/ZK1ykKKNEzIA4+O0pvD11DKtfimH5URGu2KcLLmkZy3A44J7HiTpGzpejPFv0U3iUSKkiZTODR8BkX8oDAwhvCusZ9fzaIQsZW/rXxv72AMonBYBrVwHtOCcLyrr3HRvQOg3orSPT7Us+L6FWTu9cYhNJO+VjUFSSE94R2RkOMBDCo0JxlDdFJniLpmL6wkI3rInmYADEMy+j41WMkeMCYDmnQq5PQel0C+DLJrStrk2dcLP9rUh9BAvbfK661dziL8kxFk9IalYhaaFWx6E1SZu7OZaCs57Yoqr8l9qMlrxtj6hFI8wTOej0IIQcHFFAIIYSsIPZMJFlo36JWpwBaQaYkD+EJFXSycY0q75oIFTucAGg8sQ/H9oJJMus1XMh7hwSjAkNv8EHg6mH0WmmcUnxCLqIlktPTWp9TQorjQhyMCyE1cN4rJZoh+tg384oI2xxSOVUfFjABVENAHIYYQqoaMEMMJgQDONRuHrEKTSZWGc2VMrcLcDXg5oN4UsOGnCqunvdVPDQcCN5LZVjPYX5+WPTn8U/S27pGDWMcjG3MW3Z24931m8fKDUdpL6GOVg5SeKC0WmYJRJtn1SWhiAC109CrUCFJvUnyfBZZZyp+xI9zu1TyN/lxBLt3746iiQvltp0IbGUxmGj+meoN86oKoTxAEE8QPG0MBraCc87/1D58a94JjJmEsRMAgtdHEFSMNZienAreDRbWDmBtBWsmADOA2AnYagAYg+EQqGuH4XCIiQFgQy4WYy1sZaHhbq6u433jPTyyvDT5erBDL37A+LLPQUiREKaUXcBszvLS1P48XJgNn8zV9+e8whOGYUP/OotBkDGIeVckiCVGxRwxHcJI2F/FFwCCKok9ZQM4U6X+kC0XY/2cBtFLaiSxN4wL4Ws0nav4ksnq0WK6PE0y4UXFDquicMe5RG+g8vvV/zKxwjxsyJdSeL/Y9LI4euqSoTqEHJxQQCGEEEKWnNzjovmz2H0RDIr0NNOLIy4YzWUOFBOMSSchh4HxoRFQTxCjAkrmeSF1FF2aQzH5U+sYnhM2Z6KM798bwDYYkqYQOIJYknkkxMSf0EpFzXAYb+C44GEgMgjjNBjWwdvEhJOOT+NVEDEwqAFMAKaGMTXETcCYGgZDWKPnHwQXOIjsBjCEaQpJcazN61RDUEPcfBRjirkzSN46zetvdC4MmusiXof4pF7fZq8N4lw5KQWUVI1F108mbJjURuLT+pKY0FhU0HBpiHly4mxkGrIVo1CyA/rSvz0la7UNTMhtkgzPus5bBk8TmJi+R5wJnlgmhJKpEOG9hXS+KmthzCS8R5PmY9FQFwtbTSFaw+Kr9dRwMFZQWYvh0IuROi2Dgf/z2TkXtI1Q6SoMMyUjNpDgzaEGv+Tba00Ia/w9GTxIvGeLXs/gxaLzZUM+oViJKIzZJ/eJcxyTBwsAOwA0oW5YFxISpXr9yUWD349HfKUclwkC+ZWwJvsglEnOr616+7gaYjo8t6z39vJ7N8ptmzTPxiSp1bexQaQuK2zpHAE6t7qqLVL64vyeTvPQXJOt6mfxNpJMYErvdbBafYoQcvBDAYUQQshByag8Jgvy9EgWoG4ML8oqKWX7Zn/Zxq6dOrr3NrX+EZ/90V+EC7jMyyRrJ2qw5+WJAQnhLGkMvv9Ygcdpf22RIGguiOV+JX0Oyb1uxIcN+dFlYTtBWIjzmZ2TCjKoY2JTddBP4oHP4SCwiFFCAgxrC6uVOXIBJRy7AoKXSRWMfgfYChAHWw2TkGPqOC5fWrghoGTjLqfHjxuaFBTaTz5vYZ6jUZYbZi6ONTfiJCS9bQzA75IJKsYk4UO9NkKraNT7t+HaoHwinoz9MA3qpSJZ0tgw2c6l0K6WyAYAkns3lIatiA/PEZfGV5Kq7piQaNQYL5RpglmPhrgkAcWF/CP+1DVMJzOmTRUqt9jgfTIAjA16ko1tjZmI56a3SS0OFQSVAK52qMPatFWFqqpC1amwJlxWatckUcC/1vLEQAznMSnnh4EmK/XbJVwQk58zkqkvTvvLvVZ821IiyBSGKKiFEsDGxGvmdH0bf49HLwvJqs+Y1Cug7cL1llxk1Q9tmJskAhVihzhokutm0uDGXRLHYGBhNZdUo1KVMUkm8d995T2QJ88tv6dHCB6tr2sVIRuiUtJTKKAQskKggEIIIYQUSPrjOf7uE1y6PmibAKmfzCsgex2fCjcf30evBgl5NkKog3NFctDsSFBjyBfH8PtUxhuwUmuy1fwE1Vuj8m7/XeNW4UONdnW9z8JnBOJL36i3ggEkCjth/MEjRcUXQA0Sl0yZTPhBOIa4eagQE8x4TA4s4FK+l3j2wQJ2xsBIFVpXABzEVbGfmPxVRSA4GMwAMa9Kdl7xVTqGQADjQ4yMDKE5ZWLC4JDA1luYWX9xe42YM8bk20ww4rvWUiKZ1SqYhc+NHi97D8RCKFGAAUJVEzWA8yufKVXFWMK1D8Z+tkN6qV4Moa33DrFJgNPBQDUDzUkSqvhoSIkglL/WUrehnXhPBC8YJGM/epRoWIZ6WOhnTvPqlAlaRQzm55Khb41WyPEVnObmdqb73FpIXWPezcGECjIpN0Y8IRg7SJdOJI3BW9nQ3B/qcSJAEPv0+pnO+RV4740kZtXpPCX3gDAhl0vYr57z7Y31IqKZCKWzVeDJPCuMwOeJ0RMw+YqJA9LPKpN7jYVVabRUsxcXRXMbQZPZal/+u8AWIUrpUHllHIm5mgzKsfjjmsZ1VfTbrYUpzrokL/scyxnnIUBpbvIxEEJWBhRQCCGEkFFIVx6K7LFjF0aKzSK5GJHva4p26XUQQcT3pZV20tPPnuPqftHAyUv16qNiycYnYZeQ/0BMs7fsWJLGlgsq4oIxFsQIE+WgTFACNGlrzMeSH0WH2BIMtK2KJ7FhMMTUs6EteokKVMF7BaJ7B0M2eu/4nXz+Fp9ktCUMSXYF8pAcsV5ogE9261vUqX8VIfI8LTHXTEiyGd9nYRvS47WSETPc6HlIOpvc9o7OB6HCiskf+atXSOsQ/vimWLe6SQ18QXq0nwzotGZSCIlzKmaE66ICigkeGHpOEvLMBAHFa4Sh1C1SxRqJVWryqix5meIwKmNg9PpnHiyIQpL2h3QrGhNNbsmvCXSfcN6ZRxigZai1E012GrYhfAeUcSfxFtd71o9FkEpp55OfiVK9HhV583JD+vYIZX2LoagcohMh8XCpyYi0rUn9jP/V+TP5943JV0a2ZsI5t3svvyOl87u4PZ72b9Pe3PVBcQN1iSOm0TQXUTKvv2JOCCEHGxRQCCGEkGWh3/j1tJ+i9nm6LN2x1ZhvjkNNOduxX9PM8p+JCWKACeFBRkUT39AE4SB6bsTtzeP3H8+LNCpC9M9nV3Ebb6ynUceqIdqXS3PhP6uBWOGkzNui7ZyBF1ei7jKEeuIIhtl+NUT8TxKBcvFEBY/g7dIUTArPjyIRSHZ+yftGQg6XWIgnPkAPxXWDwaz5RYqEr5nwEvuOwlp+zTsswr7lGnUZ722g+Uk0OWmvcasCT/BCMSGfiYGBMYMgpGRCSOjTmDwBseoR2TEkN9mDjGBN9IpQz4juMSXjP3qOwIf7eO8TZOPS5g7IPwsbUhWXdIzRhnYyyLu3ZQKW0fsX4XUj54yuXSPR+yT2FMSf1DrfV4/TkcPGdMxTMd6u+9YB6o2zx14b5bGSeKVzWv5eHM3rtrA+mnJVj28LIeQggAIKIYSQg552CeFR6NP18K4oR9nRFskrIT411kfvnWPoee+yUAyTPSkPhqAUuTL6/jhXESbkIID+Ka/ZPZvGYaYFIA+kETRfmqzP9Og8G0s+taLCCWJOCZO3z59+R2M7PFkvHq97Y8b1nK830PW8G1Ogh9IBG0ArE/kpFnhvBQmJK9Woa6ZVlVjBxF9nC80ropVIEEJKkviSqo4UOWqi94t66Tjk4TH5OjWaV6Yr50i2rwteLkVolIpVwbCO+SA0z4kL18epENPsPSQDbt0rpnF9wmcRm33q9/b5PpriRLdYYcL1F2OD54hP8uq9HwbZdSmFjyKIxKRRlz4TpYGtZycANCeqQSnEFEa+AFq1RbL+kuCTy4u29w7No/jSfJn0X9O8F0sqTf7b1DKQQmOat0Q6Ru6xk49Z70kNeUrzZmN1HttxTL9P11j1tuuMuOmla211r6/ys9zjo9FHQyDMq/rod7fuZ4rjmezX+BOIe+ZVg6K4lofYpX9PmDOFkAMTCiiEEEJIoCzPGgxkKUvRlskLs/fNsBS0RZI+8tLAUYDJxRN/tHyk43WgaGxoZ9lPQ71QoSWGGJi0LR6v3CX7vMdgkZDkMwpKoX1jjlN34cBFdzrWLElnfqhg9BVDlGSvN6NMkuEZvAFM3JDEhfwcTZaXpjh9FSmMRsYgho4YgUgwNmN+lexyZmtCqxrl77M3CxJQtFJO3CcahelHipNKx82TAueTGz1apDXlYyzisvSuGuQprCYJGN196Oc2jEjzqWgem6xdbvwX66OxhhrtuvYRqKhionaZj7ccX3otsc+yAku394EpDx/GJrF9rvpleWRM0UO6Txs0vyNKoVPPNxcJshMN7URzumRnUMxN65h5n82xLIbGxCQ1rDinFH61cMqVPXqrvxWkYwmF74Yx3+flul78LBBCDgwooBBCCCEPktF/08uChZR2r82nr2ooe2+Q0ftmZVAj6h2h/aiFpYZLPk4bDfL2GCSNQfJ2QTBxmWFeiEDtEcV9Qt/lNgsxDs5orpES70VQmo6pPKn+N69kpB4gYQf11ojChv5kOUusZNMlsVSshDmI+V+MhZEwvyGhrLNeYTP52DOhJokXNrxO7ZK40R3CE2Uv1b00uSsADXvykTghuW0WlpQmLO1TPg33a9Z2rtsRAkqWf8RY38Zl+xjjPTPGPXl3xfaGoNAYhxr20ROpKTR2jFtgYAsBpMoEm1TRpTiaQUpQi/Ba86Vk4ToG+jqcc3yd/0baJ3qw5OKZllou8YJFlxcGYv+CIIQUXjA2iVlR8Mj6id5uWQLefFunaNMlTOWbF6N0ZKJOTp7MddS6W1LSdxkhhHRBAYUQQggBkD2uRfkUsXyiWIQFxCf0wYgTl5uo0UYfe2SjZnRTQvDhIt5cl9hZ3wN8A4Rytk0DQHcI4SeZ6KBnLfA5PhCPVYc2uSeLjWMxIcxJX3sDXr1IJDPqpZiE+JQXSJ4S0fhtCjbB5LOaBNahNcEWMBoSI+m48WjRKIQfV54ENhiGcX6hc52PNp8vgVht589D87qY7MKYIFoYF+ZCkoyQJx7NjUN/XFM6IqDhAWPiDMaxltuUUNknijL+ekrW1k9Hvn9uNPvrZnoFlC5UiUKai/gkPxjtRv0fDFLDjp6Kzy1SWesGEhLM6vpp5h1pCjH53Wp9v5ILGTBeCEuqUrm3TSE8sXSu8WKIF1T0EqVqPyqgiLEwyIWRFJ6U9Ikw32EMxezHMWn55cacaaLceBpVHLgJc+hg4asZaVJd7TrMSyYKFcc1zbkM4zfI+lMyt6Xii8oLTVoJKReaTPztj5UcULKx6Bw3xuxpi0qm8XthqIyWz0B3D/n93h5PU/TpakMIOVChgEIIIeSgJ8Wdl2JIo1W5PcTnmFhtw2StchM7xN8bg3pYp660m54jlrH4ap/k41RLqFGiF4CJHgVd+OovpddLKLlaGaDwRND8FMHjwAqcC2WSoW1tON+QcNUINB8K4GCMP1ZlgFiit7KqlLTOXBOYulBmJQpDaly3yixbDAA4ODhXI6/iY4yFNXo9BJqMNfYfPExi+zCHBuJLH2eeIXoezdf+ImbtGp4wvq86jSEKMSnBbpHCNJx/XI3q3RJFIIR1p8cL1z02TuPKr3FpmqX5SKusuSZGkYlCCyas14bAZYEO41u3m6KEbau74p7sPp5R0aMhoLSN1dL4Vg+Q8rfxIkkmAJisfRRJ1MMjS1aalxBOx8s8UUyFvNSuCghlaqKw/myF1nnbJDok0QiN45o4FltV2XZ/XH8nWwgqaK6T2Mbk4lHD4O+6RnHbAJobxu/mGtv9uK3V89ffmWii82Qa9XlMltrX+D7Kc46T0zE8PaeFrmIVHA2sTWJNazz5nDT7jv9OmCi2UTQh5OCDAgohhJCDkmbcuibzC1s798kTCoZPABVIUqP4fLJZv8SYWBA4dqPPNFuVL6LAUB6/FFaCkRWNYZO1axsNIpoQ0/tApPLJ6gGRe5P4T0T9XoLxYy1grYW4UGnEaQiIjkgFhfCUXEz0QEF4guwdUdriiUBgjYUL4SFig5jg4iwhencA0Co+QabyCS2j10c4YUkCijiBel6YkFzVe4Ho8bVcsB+HCii+vyzvQxQPfH2dLNFN6D47LxGgqmJK0igiAbChCo/Jq/oEccZBUjESKddqPDdI1IDK6+a35zJeEqzS72J7Q3CT/HiF4tdTvvhBkMJrysPlUoJ+oGlhYVKCYIPG/tkTfg2hieE4pkrbesJOjAGssb5CELJEtWogGxPWQ/Cy0HUdx4QoGpggOhT3o3pOiAnt2h4p/v82t7mziVFvjdwmVwEljSUdTisTJeEgF2HS2Gz8MZnQVAgzMP5LJPYd5r8xl35uLIy1qX+D0Le/R0yVjmFNFeZFk76q4GbS+GFCXiOEz/W7138/WNvngZKJPnH+0jcKWm2VvD80rnv3d3zr2OE8urTJ8hpRSCHkYIECCiGEELLH5KKM/p3eEF+gQSHNP6DVyJVk/5a9dbTu3lZsMd47xMAGzwUvDmSPUbP9kyGjooz+nR+9bkx4HQ0ZIFn+LuxrGp4jSdRoD1C8KBPHpd4Savzkhr4PPBDYYBzGgUGTrPrD+HEYGz4zqo1IfBKc5k33czBFhtlsTmNumCAmNAS0wloyKaOG76du9WOznCouCFZWxZ9CQIk7hlwrXRVytIVkaTO0XdM7Juuvo9azc83Plk9AybvrMybV6NXbSHoN0NxgLsM8xFRxe/9xghgXyh8nASUTG6Sdr8VkwgKiF0jlDf2mca/5O2LITUNAQRJJ/BwlzxcVbiI2Fzja82FMCtdJQlBWcScexzZ+EDyALDTMpznv6iHUJUapV00xL/5sYCClx04UT3Tf5tj0BPR7IPfgcGmfrjlqJDaO7TrH3C2mJKHIqhbVTa8QUo6BEHLwQgGFEEIIaVI8+gXyP6fLOHxX5ijNhYX4OjwJbVnCvu9hnZ5ximm2yzxFwpiSIdQXwhNc+GEAK5kXigoeFdrmgRdO8uot1hr4XA4CiA2hMTVEHFxMbNrMS4Ak2nQ9uQUAEVSVDTpECLfRnB0QtPIpqPeMODhxMd9J8jLxJZoLjwr1MAFgXN6f9wiBC14hMbSnUe0m8+6wol4wYVmI5lEpz88GzxOXVYvx4T4uiDD+/HxkRfAsSRc+HDbrMwooXetGn3gnj5VR8x46bH3SFdJj8nLIC2XkcQHNQxM9SnrszNxA1naxUMwIwzWFnfj1qAlTbSFo5scBjM3bpX01FKi8DcP1st7IdlAxxcBEAaUpbgRvhiDoOPVUCfOhoUeKChVOBQf9PA04ltM2+pmetcnWnMlDeFJZYu3Nig3Xw4/RZmEpYtU7pDGuhqhSHKsaxPZRQI7rIa05G4WuML/ZtYufC0qBKYoSVkebjt0jVugaisJwtkf5qi0MNatDte480xRgmg3yfgghBysUUAghhJBAKmOsnhYdwkdulGVVIkxyoUASOIJhEp5zd0so/X+wq9uFtOzTrqokWVeCYAw28hGop0RXaEMUjNRrJXgj6PiNhFNSIzAY+EjJTItKMB3j8/2YmO8jenlYb5a2ZyjNXPLz0GujHiwGmutDxQ0APleLoP10XOA9VTIBpTD2ghiR9qpTn0AUT3Lvj3xuy4SxdZrzhkeO7u/n0sS+ywZNAcXE3yqg+ONk4peqSw3S3Gaiiz9qo90eCChwXZc7oQJRrzcDis+1KEyeSLXt5ZBGbIzORBnOU3qElcfRdqJiYxApkviRi1NpPDAhY0fmUeJ3bRji0QOliuOKoSGSBJvy3DX0JJ+jcB4mJaBVkSfta4vX/jhV/D4qBKaGgBIFDJN+upK16vnlgoT35LGl900hoDQEjPx6RIEjD+HKrpWkdeDfNq5n6zXi8UzsN357xe/aGGloNKwIGfn6SWNq3iEG7Tusb60RQg4+KKAQQgghi6BwTEEyrgAEA0xblY26Yuk9yVMli5VB6Y2RPvemvr7v9vJQg8mKFxyc9X2r90Y06GMXJjsvgcABZgAVU4w4iNQ+p4EILCqfqBYuGNyhP5cJBSP0HU32GtxG/FlK3dilFBC8n4oLxnImgEgVuhRfcVhznyANQ8UVoEqzm+Uq8SaWK/pJw6hTOyl/5+OM+4bz84JQVWzPdymfdWe4spRxSdpLnMRP1EOiGE/eeTxeOdaELfZdXNntMd4nHeMf/RQ/rcUiwazpF17yfRDFAN1UGuXFzGeiBIwBbObJAcQ1arJ9cm+OlqdGjjXBYyR5nhjkYSyI27ITDB4nKEWPoNqUokouWrTH5ZPhmuz0VBiyMJLOU+fBh+OEecgT5GZ9S9afHtnaKlX8ibiol+SrI63YMsGuA8p+i6/PNPd5u+J6w8QPVKjW/DJ5za3YvfioKFNVrTU1NnpNTKc3DiFk5UABhRBCyAqi12xF8ae+MY3XTSMMcZupBtmG3HBNDcUJXOaZkFoLbDWIBquVhmFrspbZ59ZUgGjYS+MMC88GL27UUkWjPooDphwfovgAxHKomemTnO6DwBIEFEGdCSLq09AXXqS9heO5YN5IJogUc+eFp7quYcTBBu8IP4bae5hkM1pU4AmnWNhl+dw2BBRpeKCk46sgk0Quh9zKKsWLvH0eEpUT7dTmvAiCB0uay2K/7HzzsKJyzN346162KSs+KaOr9STDNcf1aWbNUfgxj/FA0by/ZbLOUf2aItRHgPQ+dZ6901AfBEPfhj7KnEC6fwz1UVUAaR/tOx+r7mngc6OkLaWAYmzqQ70e4j6Zp0pKXJuEEJOdi55eHiID/V4Kn0cPCVEBI81XaqiiSynyFAs2EzYMbBATmhdH86skL5jkyZGEnjhPNg/XyfsyxXE1p0qYvOxYXhgCspAlnYqetWysTXPUHH3+NaFDjnlW8mTBxYQQQlYIyyagPPDAA/jsZz+Lb3zjG7jhhhtw5513YsuWLdi5cyfWrFmDxzzmMXjWs56FV7ziFXjoQx/a2cdll12Gl7/85Qs63qWXXopzzz13ZJsdO3bg7//+73HFFVfgtttuw9zcHNatW4dnP/vZeP3rX4+f+7mfW+xpEkII2c9ZeDx6euzp80mUf+6nVsmwzV3pNZRFysaBYBQXT8ODa7mBD48Jx21rIgKYUkCRkJekTLgaxqTeBgKIJk5x/reIaZkofnSpYo0Y6TQ60tAFvsyvg0ENCclqvZcKkCrpjDDCgzHvk4sKNKlraeC72NY5g1jOOSZxzXK9hHGpeGJzsSk3hvo8R1DmQIlj0qstmgg2XKNCNEH0BokCis5BfJzduE6m7bHgm3lPGBVfmtepKQgVtBLCltjGZkGXgJKfc3c/0jkAzVMzcghQY3xk/gokraOv3ahxaaWc1lBMJjpouI5ugs+Hoka6gZ9OFSUEJngt5FJIv4CSpNJQErcQO5IgYLNEry5eAgubCShNbwdrSyGoLaAgaCHpT3xTnDuy/cvvxxiW1AgJUgGlHEkQgzJvn3ybP8EqfUfm+6sYEcaSzqnRUdF3OS7N1xIFIaOhSWk/M+qGsd4LplgnuZbUOiUTvk9R3ATFrFBLIWRFsGwCyvXXX4+XvOQlndu2bNmCTZs2YdOmTXj729+OD3/4w/j1X//15RoKAOD222/Hs5/9bHznO98pPr/llltwyy234L3vfS8++tGP4lnPetayjoMQQsiBTe5PIK0/tEsjIzqPGxtKeqphjvBUM1hpQRQIMkd5QJMEiSjcGBMevCbD3IRD2UzEAGzQGupegxgATCgnDBe8OFwuZuQ5FPR86iCe1DBSZ8Z4WQ2mz6COAoTJPDU0Qaykc07tB7FvCYlgxUkWcoDwGWCjB0qHuNT6JBOlkKrnJDFFYjnkcIQY1lEUEY6ijQQdQ7J+kriSJqQ9Ej8PdRRJOhO89s3niLiDsdcAQDOEp/SqKekUJ4L/xHgBRSud9Akovk18vUDxMx7WwHuRdIy5mSAUsOlcTEpxmhLPptwgMQAnM+Zt4aVRHrHKjlXmxsg+B2KYjcCH2/lPtSxytxBUZV4rLQHFZOeUeUpYqyWQ27QFlDI0CVEAso39gDwJbhQvsu2ayNahFJjKY5uOEKB0ejFvTtbe7xNylUSPGi+g6PpS0Ui/L9rn2k4wm7aOXchhcMVOhJAVwrKG8Kxbtw6nnXYaHv/4x2PdunV4+MMfDuccfvSjH+HKK6/EVVddhbvvvhvPfe5z8Y1vfAO/9Eu/1NvXv/3bv+GYY47p3b527drebdu2bcMZZ5wRxZNXvvKVePGLX4xVq1Zh48aNeOtb34r7778fL3jBC7B58+aR4yCEELLCaf7BHO33rr+kw1/YJuklybPFiycmzxCryVubfRgvDsQ/+Vvu9PFhbjBiU6WYaIeOsG7FGRgjsEEgaMg1beMne+u9WkRdGsJxzGiDWkUSNfxN8ECJHjiZ2CACW9koWnijSbynTNOLQz118jkdi4odVfZJLjjVSdzSMTQ8hdQrxcR51w1BmFJ1a+SYBCJZuEePgNJrr/V4oPTt46e96YECaIadXgWl6+l8dqxxJEO4a2OZUHQh+knTg6C1JhCkkCIcyJ+zSpOtpKkGsEW4kQooqY8ooDTve4N2f/nG+CqJAEmg0OPYFIqU720AW4gNpSCQRBdTjCt6tHTQLofcCOGJ3iO2sWPj3BoCCgAYW8XzK4WksEsUUNr76rFz0Sr1YRDzTTUElHwuDBDLhqejd1+P9D7K3j2Y7Kc4m949CCEHF8smoJx22mn4wQ9+0Lv9hS98IT71qU/hrLPOwtzcHN7ylrfgE5/4RG/79evX47jjjtujsbzjHe/ALbfcAgC46KKL8Ad/8Adx25Of/GScdtpp+NVf/VXs2LEDv//7v48vfvGLe3QcQgghK4GFGXZA25hrGTG5NwoQwmLiRiTjXmBaD2mTONP6KAgZUUSxIwJqBDCVFwWs9Z4dzrRDcNLYg2dLMFpiElmB9yLJxt1lZuj5qFiSSg/XWf6W0nSsdB/4UJs83CYmuMwSvNo+47/r5KNolI0t90aJOU0Qr5fLxIqUKyPP4aIaTgrnGSei+DHkYUJt+uZzVObLXgElzjvQSiLb44ESH7j3KDILfRhveyvqtL0ExiEoNQw1nMuZLnOveK8T/U8pjkhSHNPnsWpOY3x9xnTRrj9prgmhRKVRHjxATLeoYEaIIdbmISlpXMaOStybb8uSx2afRRGleZr6QZzQVoNwPbpz3ziY1GYBAo8/RFlByB+/TEqb79fj2zKe5vcqsODvfULIwc2yCShVNf4r63nPex5OPPFE3HLLLfjSl760LOOYn5/H3/zN3wAATjrpJLzxjW9stXnyk5+MV7ziFXjPe96DjRs34j//8z/x+Mc/flnGQwghhERMMPXiH+g2C91IT0N9lE+HZ0qfMR4FEPVeGSEoBMNexQxjBdaocJA/gdf2elwDIzYKDNHiFgGM37fnuXIUT1wUJlwor5oLB67TqBKpo4FvdHLCfEg4h4VXkQnnogKKqHiQQnjyfCiqgZgsoYiKL1bS+1a/SZ7JXmcYCcsgO25XEtkRp9GbLHOEsCJJSSg68ysvG3ORf6dvEP3HKhuZDhEibkIygLvG1iYPc/HOI7ZjmymOlEQXPZbNXmfCR/N9sU9+XzSF0ka7jtMw4bhaFyveLRKq6IRwnNZ+eVLaIGyk/rKEs1mOluZU9uXtMKgaQonJxJO2QOJLkgPqddbdd4dABQ2XUu+UhYg7CPFVei3z4+i5dn3j5FedEEIePPu8Cs/s7CwAYNeuXcvS/7XXXov77rsPAHDOOefA9rgJnnvuuXjPe94DALjqqqsooBBCyIojCRbl6yXqvctI0BAKfZAqzbAUE5uZVsJYg67kpB1HzkSPnrHpGFxQJaTHIIo7aMWaYMyID/zQ8BsJFYJGGtQmC9cRG3ONhDMGjIXtOLYmrdXQmNwsXryAAmiCX7+vC9OQiSBR4PLbvNaRRC9B8HpBCDOK+7osTAZZf91zoaJJl1fMQjB9ITx9O3QnM0n7ZWsmn88uc3QxD+abhngZWVPIKQsO4WmLIXmf2iDvOb9zOpKmdo6nvIdz0aVJ0U7rEne2a3qfmEJA6dqtSCLbFeISBYo++XKUt4dtb9fjWcA05tGH9kizk+bRivHqr1GeKf1jzecKxe+imlBEv8cEzcns/44Y992/mNVOCDkY2acCys0334ybbroJAHDiiScuyzG+/OUvx9ennHJKb7sNGzZgdnYW27dvx1e+8pVlGQshhJD9nbZ40W6R1+EpWy/Pn9ZqJHX9k+300bNa8uFzSdsQCk5gjCcK0Bk10GlomCw0pb0H5odz0cuk8zjhd5GGM3h92Dj+tseNihyAoHYLSRI7HhGfZNI5L+BI8OaQDtFJk7WW3hG6j18B4iQTRLrKOfeVeG54vuRVgUZrHSOTyPbs4UeS7WOLc0pj9VEm7ZnNz6LX02jM8f2azD7VtdzVepyaomJeV3iQ2NZdW2nPovsk475/JeWhYwsUUPrEirBNjCZDzUNTql4PlL4HgTrupCN0e4J3eZKkbSHZbEtAAZLLV3HATHDtOMGG4BHvKGNDgtnFr5zub9pR3757IoT3i0/5L0LIymSvCyg7duzAnXfeiU9/+tO46KKLUNc+zvj8888fud+5556Lm2++Gffeey8OOeQQPOpRj8LTn/50/N7v/R4e8YhH9O538803x9ejRJrBYIDjjz8e3/rWt4p9CCGErBS6n4o3CcWHe3d/MH9b58aWqHdG1mtpjOlT1cwYzfdvjkQMzIJiLBpHaJ1Q/lS3uz9rc2+ShR7Mhx1ZPe/GWL39pjlQUlnhB4vAAsFjRgWU6AnSnK9YJQiI8x48Uox4YzwlHekTUKT3dVlK2SUvlzECyqgcKN2YEHaU1pePNGk+fffn0sxZImiIX9jDdS8o85f0eWvEsY0iv0faXgvJu6fD+DYNX6fOQ5XrfeECSv/YSwFFx52F8HTtkwkoba3HZE4ZPQJK3qY1nqq13Qs5ba+uJGr1V2wqyjdn3jxd4U8LXz99q21xK3Dh5e3zrk3zgz0+PiHkwGWvCCiXXXYZXv7yl/duf9Ob3oSXvvSlI/vYtGlTfH3PPffgnnvuwde//nW8853vxLvf/W686lWv6tzvhz/8IQAfKrRmzZqRx1i3bh2+9a1vYcuWLdi9ezempqZGts/50Y9+NHL7XXfdteC+CCGErHRG/aGet8kFk+Z/GwbYHlu5TfqFE/8wWlDZRVnzoVsXtQfTKaBICImpQ/jOUggowVMEAqMlnHMvnlgJyP8yzV1hUh5gaU9vt4DS6MSkMJmURDY7KMZrI4sN99F9EhpK0X20ZihLCpuBaixLs7TMKMN2YSE9ZVhMQqLHUrcHQ1ucbF7Q5rrvT+ZaiAXoPydjjAaGZT8aRpN8sVp9LyjRru1Vgju9dMI+qXRzfjwgL/OdNtlG4uuMcH/k32V5El/Nv6NHysXf/VOKWLJVTgg5wNmnITwnn3wyLrnkEvzyL/9yb5tHPvKROPvss/HkJz8Z69atAwDccccd+MQnPoErr7wSu3btwu/+7u/CGIPzzjuvtf/WrVsBAKtXrx47Hs3HAvjSx4sRUHRshBBCyMIZJ5AspqvcTWG5Xc37zXV9Kr4Yk94IYIxkHjId4TMx0aoNosPSeKD43CaSpq9I/Jp50XRmTw3Gn6QksgXSHe6VNUAhlEhW/ScXRcZ5oKApiCwMLVkNMbAxJKOdaye3wyU4KEjRAm29YQ8YFe6yEPUkhZ90GLtWEwI3cqQAWXJSoLwmjXVo8hCeqn0MPfICQ3gQkqhKFE4AL2LYltdKXH4L9JxICWrbB+4fk0XL2ycmqbXFbBgVP4zrWOPqxTJurKY1xj1bQxQ2CCF7DyN78i/uIrnvvvuih8bOnTtx++234/LLL8cnP/lJHH/88Xj3u9+NM844o7Xf/fffj0MOOaT3i/7qq6/G2Wefjfn5eczMzOD222/Hwx72sKLN8ccfjzvuuAPr1q0bWVYZAF72spfhQx/6EADvubJ27doFn+NiXAEX2zchhJD9BzfCcF/0M8qUFGBEo4U8du8WLNwCd98j+tz2RWJekYViRE2pvvCWFFbjQrLZlOj1wZL6Kf8i6hJQ2pOZRxy1PVDGyh7IjXX1WJHGvqMq34Q992AqJOVAES03i5bnD6B/40jpeVK2gO76YJbbqPwjC/07y/QIKKlsczu/RemRkd/fixdQACQxCuPPSaKIkDxQojiRjySIaP1hfs3OQwhP69Djqt7kv7WDXFIsWgevqQ4BZcRKSN9VjXbqzTRqLfc6/XRtWKrviOaBKdgQciDwox/9KDo5LKX9vVc8UNasWVOEzzzhCU/Ai1/8YnzoQx/COeecgzPPPBPve9/7cO655xb7HXrooSP7PeOMM3DBBRfgz/7sz7Bjxw68733vw5vf/OaizfT0NABgbm5u7Dh3794dX69atWps+xwNFerjrrvuwhOf+MRF9UkIIYQcaAhMMC4XgbowjBIcjADiYLX+rnMjmy/quMHIqgpDuukd0qo3ErowEBf8B6S5rT8/RNkwCCeagNYIjKTzG/8cf888UGzm5WL7vBKCQS06ru6eyjCnPbwupi9BahrI6P1N7snR2Cam91oUxneRPLjfAO8Pyyk9OEaF+agHik9AHEKPxKTErXlztNeBMQ2hTUPGjMHoJLJ9Q+oXVtqv9L1F9xx19yUjtmUN9kNy0YcQspLZKx4oo3jRi16Eyy+/HLOzs/jhD3+Iww47bFH7/+xnP8PDHvYwiAhOP/10/Pu//3ux/UlPehK+/vWvY3Z2Ftu2bRvZ1xlnnIHPfOYzAHxZ5cWE8IxjuRQwQgghexdBfxWe/PcCOwN64jP6jPW+A3eNaSmfvy6GPamtAYwpe4wQthOM/rF/vozYXOybHdQbqXkoR/mqs0vN5dCzcWHzrx4w6sLRV4q5u7duT4QurxoU51tMw4iFa4KAIn0XKHrnmAfnhTLKW2NB+4cKNrpHflOOzcSrNL2gelWXEePMc4iMHm8xSJ3HQtBZ2FBbK62rpFY87B4GyvR6eYzcq2jZvqvKrvzy7/qeG32c0WNbym/BRfsZEkL2EQe0B8oozjzzTFx++eXYvn07Pve5z+E3f/M3F7X/UUcdhSOOOAJbtmzBnXfe2dq+du1afP3rX8f27dtx3333jUwkq14kRx555JKKJ4QQQg4eutzrH0Rn5e+c3tKgfV3lrv3pOe+++lN/8UbauPYSDcux5zWiKo0stjoQRl+mYnjpZXyzVPMvI0KWSrGl6TnT2LbISkyKQ56jpnG4PPxEuu6PpcpXMx5jK5gswasJnh597if7+DliiQHyQt4LaW+ye2LfsPAjl/dtvxjc3eWenOGeyNr7SnYmhBwo7HMB5cgjj4yv/+///m+P+hj1j99jHvMYfOITnwAA3HLLLXjSk57U2W44HOL2228HAJx00kl7NA5CCCGELCcLNYRMf9OltjRHefYv4bFMcbDGNml6ILhiW/kmPZVfTKLfauTTfBNyi3RXwNl7RqmvXpOSyeab+kJplmEYe3KqzeEuyUAIIYQsNftcQMm9RhZSKafJz372M9xzzz0AgGOOOaa1/alPfWp8vWnTpl4B5YYbbsD27dsBAE95ylMWPQ5CCCGEPEhGWo2LMClHeuosP6b3zZL2HPG1dHL/lyx8w5QtU2nmEBK16GN3iSEqnOxrAQWx/O+Ck84u9QDkQXRK1YQQQvZ79ixMeQm54oor4uvHPvaxi97/n/7pn6IHyimnnNLafuqpp8ZktB/4wAd6vVUuu+yy+Pqss85a9DgIIYQQQvY9owKcTPHaoOr5SZVg2v+z3fuYylfyMTb83hc/+/zPWkIIIQc5y/YvzWWXXYZdu3aNbHPxxRfjs5/9LADguOOOK7xFvv/97+PGG28cuf/VV1+Nv/zLvwTgq+28/OUvb7WZnJzE61//egDAzTffjHe84x2tNps3b8b73vc+AF6EecITnjDyuIQQQshy02UgPph99/bPisGM+dkbQyjmHuGn67qkHD5LKVqkY/Yde2+tyXT8fca49bCP1wohhJAHx7JV4TnuuOOwdetWPP/5z8dTn/pUHH/88Vi9ejW2bt2Kb3/72/jIRz6Cr371qwC8yPGZz3wGT3/60+P+1157LU477TQ8+clPxnOe8xycfPLJOOqooyAiuOOOO3DllVfiyiuvjB4lf/d3f4fXvOY1nWPZunUrNmzYgO9+97sAgPPOOw8vfvGLsWrVKmzcuBEXXnghtm3bhlWrVuG6667DySefvOTzwSo8hBBCCFl+RoXLLHcoTV8Iz95LIks1gjw4xt0jXF+EHCgsl/29rALKQpLCrl27Fu9///tx+umnF5+rgDKOmZkZXHzxxTjvvPNGtrvtttvwrGc9C7feemvn9kMOOQQf+chHcMYZZ4w95p5AAYUQQgghy884AWW5yA1LCijkQGUh9wjXFyEHAgdcGeMvfOEL+I//+A9s3LgRN998M37605/innvuwfT0NI4++micfPLJOOOMM/DCF74QMzMzrf0f//jH48Mf/jA2b96MG264AXfddRfuvvtuDIdDHHbYYfiFX/gFPO1pT8Pv/M7v4Kijjho7nkc96lG48cYb8fd///e44oorcNttt2Fubg7r1q3Ds571LJx//vk49thjl2MqCCGEEEL2A/Z6Cl1CDjC4fgkho1k2DxRSQg8UQgghhCw/e6/iTZs+7w96oBBCCNm7HHAeKIQQQggh5ECFIgQhhBDShAIKIYQQQghpQAGFEEIIabJsZYwJIYQQQgghhBBCDhYooBBCCCGEkGWE3iyEEEIODhjCQwghhBByUDFKsNiXCWYJIYSQAxsKKIQQQgghBw0UTwghhJDlgiE8hBBCCCGEEEIIIWOggEIIIYQQQgghhBAyBgoohBBCCCGEEEIIIWOggEIIIYQQQgghhBAyBiaRJYQQQghZMTChKyGEELKnUEAhhBBCCFkRUDwhhBBCHgwM4SGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDEM9vUAVgrD4TC+vuuuu/bhSAghhBBCCCGEkIOX3ObObfEHCwWUvcSWLVvi6yc+8Yn7cCSEEEIIIYQQQsjKYMuWLTjuuOOWpC+G8BBCCCGEEEIIIYSMwYiI7OtBrAR27dqF//iP/8BznvMcAMD111+Phz/84ft4VGSlc9ddd0WPKK5Jsr/AdUn2N7gmyf4G1yTZH+G6JPsTw+EwRoE89rGPxfT09JL0yxCevcT09DROPvnk+P7hD3841q5du+8GREgDrkmyP8J1SfY3uCbJ/gbXJNkf4bok+wNLFbaTwxAeQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDFQQCGEEEIIIYQQQggZAwUUQgghhBBCCCGEkDEYEZF9PQhCCCGEEEIIIYSQ/Rl6oBBCCCGEEEIIIYSMgQIKIYQQQgghhBBCyBgooBBCCCGEEEIIIYSMgQIKIYQQQgghhBBCyBgooBBCCCGEEEIIIYSMgQIKIYQQQgghhBBCyBgooBBCCCGEEEIIIYSMgQIKIYQQQgghhBBCyBgooBBCCCGEEEIIIYSMgQLKXuIHP/gB3vSmN+Gkk07C7OwsDj/8cDzxiU/EO97xDuzYsWNfD48cAPzsZz/D1Vdfjb/4i7/AM5/5TBxxxBEwxsAYg3PPPXfR/X3+85/H2WefjbVr12Jqagpr167F2Wefjc9//vML7mPHjh14+9vfjic+8Yk4/PDDsXr1apx00kl405vehB/84AeLHhM5sPjmN7+JCy+8EM985jOxbt06TE1NYfXq1Vi/fj3OPfdcfPnLX15Uf1yT5MHywAMP4OMf/zje+MY34pRTTsGjHvUoHHrooZicnMRRRx2FU089FRdddBHuueeeBfXHNUmWkz/8wz+M/44bY3DttdeO3YdrkiwV+dob9XPqqaeO7YvrkqwohCw7V199tRx66KECoPPnhBNOkNtvv31fD5Ps5/StHwByzjnnLLgf55ycd955I/s777zzxDk3sp/bbrtNTjjhhN4+Dj30UPnMZz7zIM+a7K/86q/+6sg1pD+/9Vu/Jbt37x7ZF9ckWSquueaaBa3LI444Qj7/+c/39sM1SZabm266SQaDQbEeNm7c2Nuea5IsNQv5rgQgp5xySm8fXJdkJUIBZZm56aabZGZmRgDI6tWr5a/+6q/kuuuuky984Qvyyle+Mn4xnHjiibJ169Z9PVyyH5P/Q7Ju3Tp5xjOesUcCyp/+6Z/G/R73uMfJxz72Mbn++uvlYx/7mDzucY+L29785jf39rF161Y58cQTY9tXvvKV8oUvfEGuu+46+au/+itZvXq1AJCZmRn5r//6ryU4e7K/cfzxxwsAOeaYY+T888+XK6+8Uq6//nrZvHmzvOtd75JHPOIRcX285CUvGdkX1yRZKq655hpZt26dvOxlL5O/+Zu/kauuuko2b94sX/3qV+Wf//mf5QUveIFUVSUAZHJysnctcE2S5aSua3nCE54gAOSoo45akIDCNUmWGl0Hv/d7vyff/va3e3/uuOOO3j64LslKhALKMnPqqacKABkMBnLddde1tl900UXxC+Mtb3nLPhghOVD4i7/4C/n0pz8tP/nJT0RE5Hvf+96iBZRbb701PvHasGGD7Nixo9i+fft22bBhQ1yzt912W2c/F1xwQTz2RRdd1Np+3XXXxeOcdtppiztRckDw7Gc/W/75n/9ZhsNh5/YtW7bI+vXr4zr50pe+1NmOa5IsJX3rMeeTn/xkXCtnn312azvXJFluLr744vjw7E/+5E/GCihck2Q50LVwwQUX7NH+XJdkpUIBZRm5/vrr4xfCq171qs42dV3LSSedJADksMMOk7m5ub08SnKgsicCyqtf/eq4z+bNmzvbbN68ObZ57Wtf29o+Nzcna9asEQBy0kknSV3Xnf286lWviv3ccMMNCz4vcvDw6U9/Oq6B17/+9Z1tuCbJvkCfdh5xxBGtbVyTZDn5wQ9+EJ+ob9y4sTAe+wQUrkmyHDxYAYXrkqxUmER2GfnUpz4VX7/85S/vbGOtxcte9jIAwL333rugBGKE7Akign/5l38BAJx44ol40pOe1NnuSU96Ek444QQAfg2LSLH92muvxX333QcAOOecc2Bt99dIntj2qquuepCjJwcieeK522+/vbWda5LsK2ZnZwEAu3btKj7nmiTLzatf/Wps27YN55xzzoKSc3JNkv0RrkuykqGAsoxoBYrZ2Vk8/vGP7213yimnxNdf+cpXln1cZGXyve99D3feeSeAcs11odt/9KMf4fvf/36xLa+sMqqfDRs2RCOF63plMjc3F193/VHENUn2BTfffDNuuukmAP4P/xyuSbKcXH755bj66qtx+OGH4+1vf/uC9uGaJPsjXJdkJUMBZRm5+eabAQCPetSjMBgMetvlf8DpPoQsNfnaahoNTUatyYX2MxgMcPzxx3f2QVYGmzZtiq+71grXJNlb7NixA7feeive9a534bTTTkNd1wCA888/v2jHNUmWi/vuuy+ut7e97W048sgjF7Qf1yRZbq644gqccMIJWLVqFR7ykIfg0Y9+NM455xxs3Lixdx+uS7KSoYCyTOzatQt33303AGDt2rUj2x522GFRVf3hD3+47GMjK5N8bY1bk+vWrevcL38/OzuLNWvWLKifLVu2YPfu3YsZLjnAcc7hr//6r+P7F77wha02XJNkObnssstgjIExBrOzs1i/fj3e+MY34qc//SkA4E1vehNe+tKXFvtwTZLl4g//8A/xk5/8BL/yK7+CV7ziFQvej2uSLDf/+7//i+9+97vYtWsXtm3bhttuuw0f/OAH8Wu/9ms466yzcP/997f24bokK5l+twjyoNi6dWt8vXr16rHtZ2dnsX37dmzbtm05h0VWMItZkyroAWitSe1noes672dqampBYyUHPhdffDGuv/56AMBZZ52FDRs2tNpwTZJ9wcknn4xLLrkEv/zLv9zaxjVJloOvfOUreO9734vBYIBLLrkExpgF78s1SZaLmZkZPPe5z8XTnvY0nHjiiVi9ejW2bNmCTZs24ZJLLsE999yDT33qUzjzzDNxzTXXYGJiIu7LdUlWMhRQlok8Md3k5OTY9volsHPnzmUbE1nZLGZN5v8oNdek9rOYdd3VDzl42bRpE/74j/8YAHDUUUfhH//xHzvbcU2S5eR5z3teFO527tyJ22+/HZdffjk++clP4qUvfSne/e5344wzzij24ZokS83c3BzOO+88iAje8IY34LGPfeyi9ueaJMvFnXfe2en1cfrpp+N1r3sdnvnMZ+LGG2/Epk2b8I//+I94/etfH9twXZKVDEN4lonp6en4Ok+k2Ie6oq1atWrZxkRWNotZk7lrZHNNaj+LWddd/ZCDk//5n//BWWedheFwiKmpKVx++eU4+uijO9tyTZLlZM2aNfjFX/xF/OIv/iKe8IQn4MUvfjGuuuoqfPCDH8Qdd9yBM888E5dddlmxD9ckWWouvPBC3Hzzzfi5n/s5XHDBBYven2uSLBejQmaOPvpoXHnllVHY+Nu//dtiO9clWclQQFkmHvKQh8TXCwnL2b59O4CFubARsicsZk3qegTaa1L7Wcy67uqHHHx873vfwzOe8Qzce++9qKoKH/vYx0Zm1eeaJPuC3/qt38ILXvACOOfw2te+Fvfee2/cxjVJlpJbbrkFb33rWwF4AzQPQVgoXJNkX/HIRz4Sp59+OgDgtttuw49//OO4jeuSrGQooCwT09PTOOKIIwD4sl2juPfee+OXQp5oiZClJE/yNW5N5km+mmtS+9m+fTvuu+++BfVz5JFHMlb1IOfHP/4xnv70p+PHP/4xjDF4//vfj7POOmvkPlyTZF9x5plnAvBr5nOf+1z8nGuSLCUXX3wx5ubm8MhHPhI7duzAxz/+8dbPf//3f8f2X/ziF+Pn+nch1yTZlzzmMY+Jr7VsMcB1SVY2FFCWkZNOOgmAV22Hw2Fvu1tuuaW1DyFLTf6PYL7muhi1Jhfaz3A4xO23397ZBzm4uPvuu3H66afjjjvuAOCftL7sZS8bux/XJNlX5CVk/+///i++5pokS4mGHNxxxx14yUte0vnziU98Irb/y7/8y/j5li1bAHBNkn2LiHR+znVJVjIUUJaRpz71qQC8qvqf//mfve02bdoUXz/lKU9Z9nGRlcnP//zP45hjjgFQrrkuvvSlLwEAHvGIR+C4444rtum6HtfPDTfcEJ+gcV0fvNx///349V//dfzv//4vAOCv//qv8ZrXvGZB+3JNkn1F/iQ1dwXnmiT7G1yTZF+i/7YDiOsQ4LokKxsKKMvI8573vPj60ksv7WzjnMMHP/hBAD6Z02mnnbY3hkZWIMaY6LZ+yy234Gtf+1pnu6997WvxKcCZZ57ZKrd46qmn4tBDDwUAfOADH+h9OpEnZxwXykEOTHbs2IFnP/vZ+OY3vwkAePOb34w/+qM/WvD+XJNkX3HFFVfE13lVFK5JspRcdtllEJGRP3li2Y0bN8bP1dDkmiT7ijvuuAPXXHMNAJ8P5RGPeETcxnVJVjRClpX/9//+nwCQwWAg1113XWv7RRddJAAEgFxwwQV7f4DkgOV73/teXDvnnHPOgvb5zne+I4PBQADIhg0bZMeOHcX2HTt2yIYNG+Ka/e53v9vZz5//+Z/HY1900UWt7dddd108zimnnLLYUyMHALt375ZnPOMZcR2cf/75e9QP1yRZSi699FLZuXPnyDbvete74lo57rjjZH5+vtjONUn2JhdccEFcJxs3buxswzVJlpp//dd/bX335fzkJz+Rxz3ucXG9vPOd72y14bokKxUKKMvMN7/5TVm1apUAkNWrV8uFF14omzdvli9+8Yty3nnnxS+M9evXywMPPLCvh0v2Y7785S/LpZdeGn/e/va3x/XzlKc8pdh26aWX9vbzx3/8x3G/xz3ucfLxj39cvvGNb8jHP/7x4h/LP/mTP+nt44EHHpD169fHtuedd5588YtflM2bN8uFF14oq1evFgCyatUqufHGG5d+Msg+5+yzz47X/9d+7dfkW9/6lnz729/u/fnOd77T2xfXJFkqjj32WDn88MPlla98pXzgAx+Qr3zlK3LTTTfJl7/8ZfmHf/gHecpTnhLXyOTkpFxzzTWd/XBNkr3FQgQUEa5JsrQce+yxcswxx8jrXvc6+ehHPyrXXXed3HjjjXLNNdfIm9/8ZnnoQx8a18lTn/pU2bVrV2c/XJdkJUIBZS/wr//6r3LIIYfEL4bmz/r16+XWW2/d18Mk+znnnHNO7xrq+umjrmv57d/+7ZH7vuIVr5C6rkeO59Zbb5VHP/rRvX0ccsgh8ulPf3qpp4HsJyxmLQKQY489trcvrkmyVBx77LELWo9r166Vf//3f+/th2uS7C0WKqBwTZKlZKHflc9//vPl3nvv7e2H65KsRCig7CW+//3vyxve8AZZv369zMzMyJo1a2TDhg3ytre9TbZv376vh0cOAJZKQFE+85nPyJlnninHHHOMTE5OyjHHHCNnnnmmfPazn13wmLZt2yZve9vbZMOGDbJmzRqZmZmRE044Qd7whjfI97///QdzumQ/ZykFFIVrkjxYbrvtNrnkkkvkRS96kfzSL/2SHH300TIYDGT16tVy/PHHy/Of/3y59NJLF/zvLtckWW4WKqAoXJNkKbj22mvlLW95i/zGb/yGrF+/Xg4//HAZDAayZs0aeexjHyuvetWrOlMP9MF1SVYSRqQnWw8hhBBCCCGEEEIIAcAqPIQQQgghhBBCCCFjoYBCCCGEEEIIIYQQMgYKKIQQQgghhBBCCCFjoIBCCCGEEEIIIYQQMgYKKIQQQgghhBBCCCFjoIBCCCGEEEIIIYQQMgYKKIQQQgghhBBCCCFjoIBCCCGEEEIIIYQQMgYKKIQQQgghhBBCCCFjoIBCCCGEEEIIIYQQMgYKKIQQQgghhBBCCCFjoIBCCCGEEEIIIYQQMgYKKIQQQgghhBBCCCFjoIBCCCGEEEIIIYQQMgYKKIQQQgghhBBCCCFjoIBCCCGEEEIIIYQQMgYKKIQQQgghhBBCCCFjoIBCCCGEEEIIIYQQMgYKKIQQQgghhBBCCCFjoIBCCCGEEEIIIYQQMgYKKIQQQgghhBBCCCFjoIBCCCGEEEIIIYQQMgYKKIQQQgghhBBCCCFjoIBCCCGEEEIIIYQQMgYKKIQQQgghhBBCCCFj+P9PaWm1Hbil2AAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 395,
       "width": 552
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting image from dataset\n",
    "# test_img_path = val_dir+'Watermelon/125_100.jpg'\n",
    "test_img_path = 'lemon01.jpg'\n",
    "img = Image.open(test_img_path)\n",
    "# lbl_origin = test_img_path.split('/')[2]\n",
    "lbl_origin = 'lemon'\n",
    "plt.title(lbl_origin)\n",
    "plt.imshow(img);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f3da6ff-b218-4586-b77e-b4889fedb573",
   "metadata": {},
   "source": [
    "### CNN\n",
    "Now we need to create a network in order to train the model using the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "48e93d1f-8730-4d71-8472-ab2cd2c454e0",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ResNet(\n",
       "  (conv1): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)\n",
       "  (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "  (relu): ReLU(inplace=True)\n",
       "  (maxpool): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)\n",
       "  (layer1): Sequential(\n",
       "    (0): Bottleneck(\n",
       "      (conv1): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "      (downsample): Sequential(\n",
       "        (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "        (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      )\n",
       "    )\n",
       "    (1): Bottleneck(\n",
       "      (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "    (2): Bottleneck(\n",
       "      (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "  )\n",
       "  (layer2): Sequential(\n",
       "    (0): Bottleneck(\n",
       "      (conv1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "      (downsample): Sequential(\n",
       "        (0): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
       "        (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      )\n",
       "    )\n",
       "    (1): Bottleneck(\n",
       "      (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "    (2): Bottleneck(\n",
       "      (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "    (3): Bottleneck(\n",
       "      (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "  )\n",
       "  (layer3): Sequential(\n",
       "    (0): Bottleneck(\n",
       "      (conv1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "      (downsample): Sequential(\n",
       "        (0): Conv2d(512, 1024, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
       "        (1): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      )\n",
       "    )\n",
       "    (1): Bottleneck(\n",
       "      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "    (2): Bottleneck(\n",
       "      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "    (3): Bottleneck(\n",
       "      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "    (4): Bottleneck(\n",
       "      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "    (5): Bottleneck(\n",
       "      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "  )\n",
       "  (layer4): Sequential(\n",
       "    (0): Bottleneck(\n",
       "      (conv1): Conv2d(1024, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "      (downsample): Sequential(\n",
       "        (0): Conv2d(1024, 2048, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
       "        (1): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      )\n",
       "    )\n",
       "    (1): Bottleneck(\n",
       "      (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "    (2): Bottleneck(\n",
       "      (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "  )\n",
       "  (avgpool): AdaptiveAvgPool2d(output_size=(1, 1))\n",
       "  (fc): Sequential(\n",
       "    (0): Dropout(p=0.5, inplace=False)\n",
       "    (1): Linear(in_features=2048, out_features=512, bias=True)\n",
       "    (2): ReLU()\n",
       "    (3): Linear(in_features=512, out_features=131, bias=True)\n",
       "  )\n",
       ")"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create resenet model instance\n",
    "model = models.resnet50(weights=models.ResNet50_Weights.DEFAULT)\n",
    "\n",
    "# freeze initial layers except last\n",
    "for param in model.parameters():\n",
    "    param.requires_grad = False\n",
    "    \n",
    "model.fc = nn.Sequential(\n",
    "    nn.Dropout(0.5),\n",
    "    nn.Linear(model.fc.in_features,512),\n",
    "    nn.ReLU(),\n",
    "    nn.Linear(512,len(labels_list))\n",
    ")\n",
    "model"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "65a121d6-e456-461e-a473-d202e9dfbc76",
   "metadata": {},
   "source": [
    "### Training Network\n",
    "The next step is to train the network using the chosen architecture."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "a440472d-ec5d-46aa-933c-df51e4fc8e8b",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_losses = []\n",
    "test_losses = []\n",
    "def train_model(model):\n",
    "    epochs = 25\n",
    "    criterion = nn.CrossEntropyLoss()\n",
    "    optimizer = optim.Adam(model.parameters(), lr=0.001, weight_decay=1e-5)\n",
    "    scheduler = optim.lr_scheduler.StepLR(optimizer, step_size=5, gamma=0.1)\n",
    "    \n",
    "    running_loss = 0\n",
    "    \n",
    "    # tracking start time\n",
    "    print(f'starting time: {datetime.datetime.now()}')\n",
    "    \n",
    "    # setting up gpu in tensorflow\n",
    "    with tf.device('/GPU:0'):\n",
    "        for e in range(epochs):\n",
    "            # training CNN\n",
    "            model.train()\n",
    "            for images, labels in train_loader:\n",
    "                # zeroing out gradients\n",
    "                optimizer.zero_grad()\n",
    "    \n",
    "                # forward pass\n",
    "                output = model(images)\n",
    "                loss = criterion(output, labels)\n",
    "    \n",
    "                running_loss += loss.item()\n",
    "    \n",
    "                # backwards and optmizing\n",
    "                loss.backward()\n",
    "                optimizer.step()\n",
    "            \n",
    "            scheduler.step()\n",
    "            \n",
    "            # else:\n",
    "            # validating CNN\n",
    "            test_loss = 0\n",
    "            accuracy = 0\n",
    "            total = 0\n",
    "            correct = 0\n",
    "            model.eval()\n",
    "            with torch.no_grad():\n",
    "                for images, labels in test_loader:\n",
    "                    # forward pass\n",
    "                    test_ps = model(images)\n",
    "\n",
    "                    t_loss = criterion(test_ps, labels)\n",
    "                    test_loss += t_loss.item()\n",
    "\n",
    "                    # calculate accuracy\n",
    "                    _, predicted = torch.max(test_ps.data, dim=1)\n",
    "                    total += labels.size(0)\n",
    "                    correct += (predicted == labels).sum().item()\n",
    "\n",
    "            train_losses.append(running_loss/len(train_loader))\n",
    "            test_losses.append(test_loss/len(test_loader))\n",
    "\n",
    "            accuracy = 100 * correct / total\n",
    "\n",
    "            print(f'epoch: {e+1}/{epochs}; '\n",
    "                  f'running loss: {running_loss/len(train_loader):.3f}; '\n",
    "                  f'test loss: {test_loss/len(test_loader):.3f}; '\n",
    "                  f'accuracy: {accuracy:.3f}% '\n",
    "                  f'timestamp: {datetime.datetime.now()} ')\n",
    "                  # f'accuracy: {accuracy/len(test_loader):.3f}; ')\n",
    "\n",
    "            # resetting running loss\n",
    "            running_loss = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "105f0837-b280-467e-9958-bf1c7c51ffd4",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1200x100 with 12 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 85,
       "width": 950
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_cnn_filter(layer, num_filters):\n",
    "    \"\"\"visualizing conv layer filter\"\"\"\n",
    "\n",
    "    # Get the weights of the layer\n",
    "    filters = layer.weight.data.cpu().numpy()\n",
    "\n",
    "    #check size for sanity check\n",
    "    # print(filters)\n",
    "\n",
    "    # Normalize the filters to the range [0, 1] so that matplotlib can plot them\n",
    "    filters = (filters - filters.min()) / (filters.max() - filters.min())\n",
    "    \n",
    "    # Plot the filters\n",
    "    num_filters = min(num_filters, filters.shape[0])\n",
    "    fig, axes = plt.subplots(1, num_filters, figsize=(num_filters, 1))\n",
    "    for i in range(num_filters):\n",
    "        ax = axes[i]\n",
    "        # If the filter has multiple channels (e.g., RGB), select the first channel\n",
    "        filter_img = filters[i, 0, :, :]\n",
    "        ax.imshow(filter_img, cmap='viridis')\n",
    "        ax.axis('off')\n",
    "    plt.show()\n",
    "    \n",
    "\n",
    "plot_cnn_filter(saved_model.conv1, 12)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7beebec-aca4-4016-afe5-551cbe92e3b2",
   "metadata": {},
   "source": [
    "### Analyzing model training performance\n",
    "Plotting the train and validation losses is a good way to gauge how well the model has performed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "6b60645f-8433-4586-a1cf-cc39bdd64779",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 413,
       "width": 568
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting loss difference\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(train_losses, color = 'blue', label = 'running loss')\n",
    "ax.plot(test_losses, color = 'yellow', label = 'test loss')\n",
    "ax.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd018d93-5311-4757-a0d6-712789203ee2",
   "metadata": {},
   "source": [
    "### Saving model for later use\n",
    "Saving trained model for later use or transfered learning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "aafb5c00-ff81-46b9-8ea7-c4ea831cd82e",
   "metadata": {},
   "outputs": [],
   "source": [
    "checkpoint_dict = {\n",
    "    'epochs': epochs,\n",
    "    'model': model.state_dict(),\n",
    "    'optimizer': optimizer.state_dict(),\n",
    "    'scheduler': scheduler.state_dict(),\n",
    "    'criterion': criterion.state_dict()\n",
    "}\n",
    "torch.save(checkpoint_dict, 'checkpoint.pth')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aab0d1b8-b0db-401f-802b-0e838c09dffd",
   "metadata": {},
   "source": [
    "### Processing and predicting image\n",
    "Now that the CNN has been trained we can use the model to predict an image as input"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "26131f76-c1fd-49c4-997e-9ded8f0d649f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# preprocess image before verifying\n",
    "def preprocess_image(image_path):\n",
    "    # image = transforms.ToPILImage()(image_path)\n",
    "    \n",
    "    image = Image.open(image_path)\n",
    "    transform = transforms.Compose([\n",
    "        transforms.Resize((100, 100)),\n",
    "        transforms.CenterCrop(100),\n",
    "        transforms.ToTensor(),\n",
    "        transforms.Normalize(mean, std)\n",
    "    ])\n",
    "    image = transform(image).unsqueeze(0)\n",
    "    \n",
    "    return image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "d93fd115-472d-45fb-85db-604e7b6b752a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# test the model using a random image\n",
    "def predict(image_path):\n",
    "    model.eval()\n",
    "    with torch.no_grad():\n",
    "        processed_image = preprocess_image(image_path)\n",
    "        outputs = saved_model(processed_image)\n",
    "        # print(f'raw output tensor: {outputs}; tensor size: {len(outputs[0])}')\n",
    "        \n",
    "        topk_probs, topk_classes = torch.topk(F.softmax(outputs, dim=1), k=5)\n",
    "        # print(f'topk probs: {topk_probs}')\n",
    "        # print(f'topk classes: {topk_classes}')\n",
    "        \n",
    "    return topk_probs[0], topk_classes[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "b086a010-0511-4351-b7c3-d8acd0d496b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "probabilities: tensor([0.4391, 0.4000, 0.0293, 0.0267, 0.0264])\n",
      "predictions: tensor([ 60,  81,  97,  50, 106])\n"
     ]
    }
   ],
   "source": [
    "probs, preds = predict(test_img_path)\n",
    "print(f'probabilities: {probs}')\n",
    "print(f'predictions: {preds}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cb0d5a86-a9f6-4f6f-881b-ed5677be905b",
   "metadata": {},
   "source": [
    "### Plotting prediction results\n",
    "Finally, plotting the prediction output in order to put into perpective the results the model is processing using a random image from the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "4a56b2c5-1162-4ecd-b439-3ab9f487b56b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 505,
       "width": 707
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot image and chart of top k predicted values\n",
    "fig, axs = plt.subplots(2)\n",
    "fig.tight_layout()\n",
    "\n",
    "axs[0].set_title(lbl_origin)\n",
    "axs[0].imshow(img)\n",
    "\n",
    "pred_labels = [labels_list[idx] for idx in preds]\n",
    "\n",
    "y_pos = np.arange(len(probs))\n",
    "\n",
    "# print(pred_labels)\n",
    "prob_perc = [p * 100 for p in probs]\n",
    "axs[1].barh(pred_labels, prob_perc)\n",
    "axs[1].set_yticks(y_pos, labels=pred_labels)\n",
    "axs[1].invert_yaxis()\n",
    "axs[1].set_xlabel('Prediction %')\n",
    "axs[1].plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "246e2578-6972-41a3-926a-1e2c7b9a03df",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1200x1200 with 16 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 944,
       "width": 948
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "activation = {}\n",
    "def get_activation(name):\n",
    "    def hook(model, input, output):\n",
    "        activation[name] = output.detach()\n",
    "    return hook\n",
    "    \n",
    "# Hook into the first conv layer\n",
    "model.conv1.register_forward_hook(get_activation('conv1'))\n",
    "\n",
    "# Get activations\n",
    "# test_img_path = \"/mnt/data/lemon01.jpg\"\n",
    "image = preprocess_image(test_img_path)\n",
    "output = model(image)\n",
    "\n",
    "# Plot the first 16 activations in the first conv layer\n",
    "act = activation['conv1'].squeeze().cpu()\n",
    "fig, axes = plt.subplots(4, 4, figsize=(12, 12))\n",
    "for i, ax in enumerate(axes.flat):\n",
    "    ax.imshow(act[i], cmap='viridis')\n",
    "    ax.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "2321b9c1-1940-4ae8-a512-124fa4b0f2b0",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ResNet(\n",
       "  (conv1): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)\n",
       "  (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "  (relu): ReLU(inplace=True)\n",
       "  (maxpool): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)\n",
       "  (layer1): Sequential(\n",
       "    (0): Bottleneck(\n",
       "      (conv1): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "      (downsample): Sequential(\n",
       "        (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "        (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      )\n",
       "    )\n",
       "    (1): Bottleneck(\n",
       "      (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "    (2): Bottleneck(\n",
       "      (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "  )\n",
       "  (layer2): Sequential(\n",
       "    (0): Bottleneck(\n",
       "      (conv1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "      (downsample): Sequential(\n",
       "        (0): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
       "        (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      )\n",
       "    )\n",
       "    (1): Bottleneck(\n",
       "      (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "    (2): Bottleneck(\n",
       "      (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "    (3): Bottleneck(\n",
       "      (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "  )\n",
       "  (layer3): Sequential(\n",
       "    (0): Bottleneck(\n",
       "      (conv1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "      (downsample): Sequential(\n",
       "        (0): Conv2d(512, 1024, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
       "        (1): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      )\n",
       "    )\n",
       "    (1): Bottleneck(\n",
       "      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "    (2): Bottleneck(\n",
       "      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "    (3): Bottleneck(\n",
       "      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "    (4): Bottleneck(\n",
       "      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "    (5): Bottleneck(\n",
       "      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "  )\n",
       "  (layer4): Sequential(\n",
       "    (0): Bottleneck(\n",
       "      (conv1): Conv2d(1024, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "      (downsample): Sequential(\n",
       "        (0): Conv2d(1024, 2048, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
       "        (1): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      )\n",
       "    )\n",
       "    (1): Bottleneck(\n",
       "      (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "    (2): Bottleneck(\n",
       "      (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "  )\n",
       "  (avgpool): AdaptiveAvgPool2d(output_size=(1, 1))\n",
       "  (fc): Sequential(\n",
       "    (0): Dropout(p=0.5, inplace=False)\n",
       "    (1): Linear(in_features=2048, out_features=1024, bias=True)\n",
       "    (2): ReLU()\n",
       "    (3): Linear(in_features=1024, out_features=512, bias=True)\n",
       "    (4): Dropout(p=0.5, inplace=False)\n",
       "    (5): Linear(in_features=512, out_features=256, bias=True)\n",
       "    (6): ReLU()\n",
       "    (7): Linear(in_features=256, out_features=131, bias=True)\n",
       "  )\n",
       ")"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create resenet model instance\n",
    "saved_model = models.resnet50(weights=models.ResNet50_Weights.DEFAULT)\n",
    "saved_model.fc = nn.Sequential(\n",
    "    nn.Dropout(0.5),\n",
    "    nn.Linear(saved_model.fc.in_features, 1024),\n",
    "    nn.ReLU(),\n",
    "    nn.Linear(1024, 512),\n",
    "    nn.Dropout(0.5),\n",
    "    nn.Linear(512, 256),\n",
    "    nn.ReLU(),\n",
    "    nn.Linear(256, len(labels_list))\n",
    ")\n",
    "checkpoint = torch.load('checkpoint.pth')\n",
    "pretrained_dict = {k: v for k, v in checkpoint['model'].items() if 'fc' not in k}\n",
    "model_dict = saved_model.state_dict()\n",
    "model_dict.update(pretrained_dict)\n",
    "saved_model.load_state_dict(model_dict)\n",
    "\n",
    "# Set new layers to require gradient updates\n",
    "for param in saved_model.parameters():\n",
    "    param.requires_grad = False\n",
    "\n",
    "for param in saved_model.fc.parameters():\n",
    "    param.requires_grad = True\n",
    "\n",
    "saved_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "53f28244-533c-4bbf-8a2d-e36a232ace2e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "starting time: 2024-06-25 19:41:37.735515\n",
      "epoch: 1/10; running loss: 1.010; test loss: 0.698; accuracy: 80.304% timestamp: 2024-06-25 21:13:38.433080 \n",
      "epoch: 2/10; running loss: 0.928; test loss: 0.653; accuracy: 81.603% timestamp: 2024-06-25 22:37:09.003690 \n",
      "epoch: 3/10; running loss: 0.889; test loss: 0.549; accuracy: 82.951% timestamp: 2024-06-25 23:55:12.168753 \n",
      "epoch: 4/10; running loss: 0.855; test loss: 0.580; accuracy: 83.224% timestamp: 2024-06-26 01:13:20.988182 \n",
      "epoch: 5/10; running loss: 0.840; test loss: 0.567; accuracy: 83.364% timestamp: 2024-06-26 02:12:37.965097 \n",
      "epoch: 6/10; running loss: 0.737; test loss: 0.512; accuracy: 85.283% timestamp: 2024-06-26 03:01:13.548107 \n",
      "epoch: 7/10; running loss: 0.688; test loss: 0.479; accuracy: 86.139% timestamp: 2024-06-26 03:49:30.065337 \n",
      "epoch: 8/10; running loss: 0.657; test loss: 0.469; accuracy: 86.464% timestamp: 2024-06-26 04:37:38.360641 \n",
      "epoch: 9/10; running loss: 0.635; test loss: 0.443; accuracy: 87.087% timestamp: 2024-06-26 05:25:11.238746 \n",
      "epoch: 10/10; running loss: 0.619; test loss: 0.449; accuracy: 86.727% timestamp: 2024-06-26 06:13:04.662193 \n"
     ]
    }
   ],
   "source": [
    "train_model(saved_model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0be9a5cb-dd21-4709-a4cc-589dd8bf734f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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