fruits_object_detection_with_pytorch.ipynb

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        "<a href=\"https://colab.research.google.com/github/mobley-trent/kaggle/blob/master/fruits_object_detection_with_pytorch.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "cell_type": "markdown",
      "source": [
        "# FRUIT OBJECT DETECTION USING FASTER R-CNN IN PYTORCH"
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      "cell_type": "markdown",
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        "Welcome to this Google Colab notebook where we will be working on object detection of fruits using the Faster R-CNN model. We will be using a dataset consisting of three types of fruits: bananas, oranges, and apples. Object detection is a fundamental task in computer vision, and we will be using a pre-trained model, `fasterrcnn_resnet50_fpn`, to perform object detection on our dataset. Furthermore, we will be utilizing non-maximum suppression to improve our detection results by removing redundant bounding boxes. By the end of this notebook, you will have a better understanding of how object detection works and how to use pre-trained models to perform this task on your own datasets."
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          "text": [
            "Saving kaggle.json to kaggle.json\n",
            "kaggle.json\n",
            "usage: kaggle\n",
            "       [-h]\n",
            "       [-v]\n",
            "       {competitions,c,datasets,d,kernels,k,config}\n",
            "       ...\n",
            "kaggle: error: unrecognized arguments: — user YOUR_USER — sort-by dateRun\n",
            "Downloading fruit-images-for-object-detection.zip to /content\n",
            " 88% 25.0M/28.4M [00:01<00:00, 34.4MB/s]\n",
            "100% 28.4M/28.4M [00:01<00:00, 22.7MB/s]\n"
          ]
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      "source": [
        "from google.colab import files\n",
        "files.upload() #upload kaggle.json\n",
        "\n",
        "!pip install -q kaggle\n",
        "!mkdir -p ~/.kaggle\n",
        "!cp kaggle.json ~/.kaggle/\n",
        "!ls ~/.kaggle\n",
        "!chmod 600 /root/.kaggle/kaggle.json\n",
        "\n",
        "!kaggle kernels list — user YOUR_USER — sort-by dateRun\n",
        "\n",
        "!kaggle datasets download -d mbkinaci/fruit-images-for-object-detection"
      ]
    },
    {
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      "source": [
        "!unzip fruit-images-for-object-detection.zip"
      ],
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        "colab": {
          "base_uri": "https://localhost:8080/"
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          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Download TorchVision repo to use some files from\n",
        "# references/detection\n",
        "!pip install pycocotools --quiet\n",
        "!git clone https://github.com/pytorch/vision.git\n",
        "!git checkout v0.3.0\n",
        "\n",
        "!cp vision/references/detection/utils.py ./\n",
        "!cp vision/references/detection/transforms.py ./\n",
        "!cp vision/references/detection/coco_eval.py ./\n",
        "!cp vision/references/detection/engine.py ./\n",
        "!cp vision/references/detection/coco_utils.py ./"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZeyrCz5Lty2Z",
        "outputId": "d40120b0-c202-410a-8ddd-bdb6b8079071"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'vision'...\n",
            "remote: Enumerating objects: 320145, done.\u001b[K\n",
            "remote: Counting objects: 100% (3172/3172), done.\u001b[K\n",
            "remote: Compressing objects: 100% (152/152), done.\u001b[K\n",
            "remote: Total 320145 (delta 3023), reused 3160 (delta 3015), pack-reused 316973\u001b[K\n",
            "Receiving objects: 100% (320145/320145), 651.33 MiB | 8.87 MiB/s, done.\n",
            "Resolving deltas: 100% (294365/294365), done.\n",
            "fatal: not a git repository (or any of the parent directories): .git\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# !pip install engine\n",
        "# !pip install utils\n",
        "# !pip install transforms"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Z4UUkjNHzIwr",
        "outputId": "04017874-3bf8-4ea3-9354-db0007778704"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "\u001b[31mERROR: Could not find a version that satisfies the requirement engine (from versions: none)\u001b[0m\u001b[31m\n",
            "\u001b[0m\u001b[31mERROR: No matching distribution found for engine\u001b[0m\u001b[31m\n",
            "\u001b[0mLooking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting utils\n",
            "  Downloading utils-1.0.1-py2.py3-none-any.whl (21 kB)\n",
            "Installing collected packages: utils\n",
            "Successfully installed utils-1.0.1\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting transforms\n",
            "  Downloading transforms-0.1.tar.gz (29 kB)\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Building wheels for collected packages: transforms\n",
            "  Building wheel for transforms (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for transforms: filename=transforms-0.1-py3-none-any.whl size=39350 sha256=02f3d25f676e4242bccd096caf5e5b65cb7c7e2d930ace0224f1de35e89acb6d\n",
            "  Stored in directory: /root/.cache/pip/wheels/4e/78/13/104953e39581ccf9bc5119acfe63cf5b5491f8807235d6508c\n",
            "Successfully built transforms\n",
            "Installing collected packages: transforms\n",
            "Successfully installed transforms-0.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Basic python and ML Libraries\n",
        "import os\n",
        "import random\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "# for ignoring warnings\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "\n",
        "import cv2 # We will be reading images using OpenCV\n",
        "from xml.etree import ElementTree as et # for parsing xml files\n",
        "\n",
        "# Visualization\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.patches as patches\n",
        "\n",
        "# torchvision libraries\n",
        "import torch\n",
        "import torchvision\n",
        "from torchvision import transforms as torchtrans  \n",
        "from torchvision.models.detection.faster_rcnn import FastRCNNPredictor\n",
        "\n",
        "# Helper libraries\n",
        "from engine import train_one_epoch, evaluate\n",
        "import utils\n",
        "import transforms as T\n",
        "\n",
        "# for image augmentations\n",
        "import albumentations as A\n",
        "from albumentations.pytorch.transforms import ToTensorV2"
      ],
      "metadata": {
        "id": "XTwK8zTKt46I"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "files_dir = '/content/train_zip/train'\n",
        "test_dir = '/content/test_zip/test'\n",
        "\n",
        "class FruitImagesDataset(torch.utils.data.Dataset):\n",
        "\n",
        "    def __init__(self, files_dir, width, height, transforms=None):\n",
        "        self.transforms = transforms\n",
        "        self.files_dir = files_dir\n",
        "        self.height = height\n",
        "        self.width = width\n",
        "        \n",
        "        # sorting the images for consistency\n",
        "        # To get images, the extension of the filename is checked to be jpg\n",
        "        self.imgs = [image for image in sorted(os.listdir(files_dir))\n",
        "                        if image[-4:]=='.jpg']\n",
        "        \n",
        "        \n",
        "        # classes: 0 index is reserved for background\n",
        "        self.classes = [_, 'apple','banana','orange']\n",
        "\n",
        "    def __getitem__(self, idx):\n",
        "\n",
        "        img_name = self.imgs[idx]\n",
        "        image_path = os.path.join(self.files_dir, img_name)\n",
        "\n",
        "        # reading the images and converting them to correct size and color    \n",
        "        img = cv2.imread(image_path)\n",
        "        img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB).astype(np.float32)\n",
        "        img_res = cv2.resize(img_rgb, (self.width, self.height), cv2.INTER_AREA)\n",
        "        # diving by 255\n",
        "        img_res /= 255.0\n",
        "        \n",
        "        # annotation file\n",
        "        annot_filename = img_name[:-4] + '.xml'\n",
        "        annot_file_path = os.path.join(self.files_dir, annot_filename)\n",
        "        \n",
        "        boxes = []\n",
        "        labels = []\n",
        "        tree = et.parse(annot_file_path)\n",
        "        root = tree.getroot()\n",
        "        \n",
        "        # cv2 image gives size as height x width\n",
        "        wt = img.shape[1]\n",
        "        ht = img.shape[0]\n",
        "        \n",
        "        # box coordinates for xml files are extracted and corrected for image size given\n",
        "        for member in root.findall('object'):\n",
        "            labels.append(self.classes.index(member.find('name').text))\n",
        "            \n",
        "            # bounding box\n",
        "            xmin = int(member.find('bndbox').find('xmin').text)\n",
        "            xmax = int(member.find('bndbox').find('xmax').text)\n",
        "            \n",
        "            ymin = int(member.find('bndbox').find('ymin').text)\n",
        "            ymax = int(member.find('bndbox').find('ymax').text)\n",
        "            \n",
        "            \n",
        "            xmin_corr = (xmin/wt)*self.width\n",
        "            xmax_corr = (xmax/wt)*self.width\n",
        "            ymin_corr = (ymin/ht)*self.height\n",
        "            ymax_corr = (ymax/ht)*self.height\n",
        "            \n",
        "            boxes.append([xmin_corr, ymin_corr, xmax_corr, ymax_corr])\n",
        "        \n",
        "        # convert boxes into a torch.Tensor\n",
        "        boxes = torch.as_tensor(boxes, dtype=torch.float32)\n",
        "        \n",
        "        # getting the areas of the boxes\n",
        "        area = (boxes[:, 3] - boxes[:, 1]) * (boxes[:, 2] - boxes[:, 0])\n",
        "\n",
        "        # suppose all instances are not crowd\n",
        "        iscrowd = torch.zeros((boxes.shape[0],), dtype=torch.int64)\n",
        "        \n",
        "        labels = torch.as_tensor(labels, dtype=torch.int64)\n",
        "\n",
        "\n",
        "        target = {}\n",
        "        target[\"boxes\"] = boxes\n",
        "        target[\"labels\"] = labels\n",
        "        target[\"area\"] = area\n",
        "        target[\"iscrowd\"] = iscrowd\n",
        "        # image_id\n",
        "        image_id = torch.tensor([idx])\n",
        "        target[\"image_id\"] = image_id\n",
        "\n",
        "\n",
        "        if self.transforms:\n",
        "            \n",
        "            sample = self.transforms(image = img_res,\n",
        "                                     bboxes = target['boxes'],\n",
        "                                     labels = labels)\n",
        "            \n",
        "            img_res = sample['image']\n",
        "            target['boxes'] = torch.Tensor(sample['bboxes'])\n",
        "            \n",
        "            \n",
        "            \n",
        "        return img_res, target\n",
        "\n",
        "    def __len__(self):\n",
        "        return len(self.imgs)\n",
        "\n",
        "\n",
        "# check dataset\n",
        "dataset = FruitImagesDataset(files_dir, 224, 224)\n",
        "print('length of dataset = ', len(dataset), '\\n')\n",
        "\n",
        "# getting the image and target for a test index.  Feel free to change the index.\n",
        "img, target = dataset[78]\n",
        "print(img.shape, '\\n',target)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Aw3fKckHzq5B",
        "outputId": "1e194e30-a397-4e12-d275-e378934f6e6f"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "length of dataset =  240 \n",
            "\n",
            "(224, 224, 3) \n",
            " {'boxes': tensor([[ 22.4000,  36.4903, 163.1000,  68.6452],\n",
            "        [ 24.8500,  39.3806, 163.4500,  94.2968],\n",
            "        [ 28.0000,  52.3871, 166.9500, 127.8968],\n",
            "        [ 71.0500,  59.6129, 193.9000, 157.5226]]), 'labels': tensor([2, 2, 2, 2]), 'area': tensor([ 4524.1865,  7611.3750, 10492.0693, 12028.2041]), 'iscrowd': tensor([0, 0, 0, 0]), 'image_id': tensor([78])}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "This code defines a custom dataset class called `FruitImagesDataset` which inherits from the PyTorch `Dataset` class. The dataset is designed to work with a set of images of fruits and corresponding annotation files. The dataset contains images and their corresponding bounding boxes that indicate where the fruits are located within the image.\n",
        "\n",
        "When the FruitImagesDataset object is instantiated with a files directory, width, and height, it sorts the images for consistency, converts the images to the correct size and color, and loads the annotation files. The images and annotation information are returned in a format that can be used by PyTorch's DataLoader for training machine learning models."
      ],
      "metadata": {
        "id": "Gz7pq5vG28SD"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "- The dataset returns a tuple; the first element is the image shape and the second element is a dictionary.\n",
        "- The image is of the size we provided while defining the dataset and the color mode is RGB.\n",
        "- There are four bounding boxes in the image which is evident from the four lists in `boxes` and length of `labels`."
      ],
      "metadata": {
        "id": "h27j0JSy1894"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## VISUALIZATION"
      ],
      "metadata": {
        "id": "Oh2ujxdO3WRW"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Function to visualize bounding boxes in the image\n",
        "\n",
        "def plot_img_bbox(img, target):\n",
        "    # plot the image and bboxes\n",
        "    # Bounding boxes are defined as follows: x-min y-min width height\n",
        "    fig, a = plt.subplots(1,1)\n",
        "    fig.set_size_inches(5,5)\n",
        "    a.imshow(img)\n",
        "    for box in (target['boxes']):\n",
        "        x, y, width, height  = box[0], box[1], box[2]-box[0], box[3]-box[1]\n",
        "        rect = patches.Rectangle((x, y),\n",
        "                                 width, height,\n",
        "                                 linewidth = 2,\n",
        "                                 edgecolor = 'r',\n",
        "                                 facecolor = 'none')\n",
        "        \n",
        "        # Draw the bounding box on top of the image\n",
        "        a.add_patch(rect)\n",
        "    plt.show()"
      ],
      "metadata": {
        "id": "-Rqt1C6103DJ"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# plotting the image with bboxes. Feel free to change the index\n",
        "img, target = dataset[201]\n",
        "plot_img_bbox(img, target)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 323
        },
        "id": "DTJKXsSa3eJ_",
        "outputId": "0648bf23-122e-4e67-dc20-997fbc7c16e4"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## MODEL"
      ],
      "metadata": {
        "id": "O0rhwkks4IVe"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Function for loading the model. Will be used further in the pipeline.\n",
        "\n",
        "def get_object_detection_model(num_classes):\n",
        "\n",
        "    # load a model pre-trained pre-trained on COCO\n",
        "    model = torchvision.models.detection.fasterrcnn_resnet50_fpn(pretrained=True)\n",
        "    \n",
        "    # get number of input features for the classifier\n",
        "    in_features = model.roi_heads.box_predictor.cls_score.in_features\n",
        "    # replace the pre-trained head with a new one\n",
        "    model.roi_heads.box_predictor = FastRCNNPredictor(in_features, num_classes) \n",
        "\n",
        "    return model"
      ],
      "metadata": {
        "id": "EItzEwVO3kdv"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## AUGMENTATIONS"
      ],
      "metadata": {
        "id": "2huV_Cqo4mHS"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Send train=True fro training transforms and False for val/test transforms\n",
        "def get_transform(train):\n",
        "    \n",
        "    if train:\n",
        "        return A.Compose([\n",
        "                            A.HorizontalFlip(0.5),\n",
        "                     # ToTensorV2 converts image to pytorch tensor without div by 255\n",
        "                            ToTensorV2(p=1.0) \n",
        "                        ], bbox_params={'format': 'pascal_voc', 'label_fields': ['labels']})\n",
        "    else:\n",
        "        return A.Compose([\n",
        "                            ToTensorV2(p=1.0)\n",
        "                        ], bbox_params={'format': 'pascal_voc', 'label_fields': ['labels']})"
      ],
      "metadata": {
        "id": "aViDjAoO4aSb"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "We define a function `get_transform()` that returns a set of image augmentations as an object of the `albumentations` library. The function takes a boolean argument `train` that determines whether the function returns the training transforms or the validation/test transforms.\n",
        "\n",
        "If `train=True`, the function returns the following data augmentations for training images:\n",
        "- HorizontalFlip: randomly flips the image horizontally with a probability of 0.5.\n",
        "- ToTensorV2: converts the image to a PyTorch tensor and normalizes the pixel values to be between 0 and 1.\n",
        "\n",
        "If `train=False`, the function returns only the ToTensorV2 transformation, which converts the image to a PyTorch tensor and normalizes the pixel values to be between 0 and 1.\n",
        "\n",
        "In addition, the function also sets the bounding box format as \"pascal_voc\" and specifies the label field as \"labels\" for both sets of transforms."
      ],
      "metadata": {
        "id": "KXeHR6wr5Q4p"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## DATA PREPROCESSING"
      ],
      "metadata": {
        "id": "HQLlfPGY54Mr"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# use our dataset and defined transformations\n",
        "dataset = FruitImagesDataset(files_dir, 480, 480, transforms= get_transform(train=True))\n",
        "dataset_test = FruitImagesDataset(files_dir, 480, 480, transforms= get_transform(train=False))\n",
        "\n",
        "# split the dataset in train and test set\n",
        "torch.manual_seed(1)\n",
        "indices = torch.randperm(len(dataset)).tolist()\n",
        "\n",
        "# train test split\n",
        "test_split = 0.2\n",
        "tsize = int(len(dataset)*test_split)\n",
        "dataset = torch.utils.data.Subset(dataset, indices[:-tsize])\n",
        "dataset_test = torch.utils.data.Subset(dataset_test, indices[-tsize:])\n",
        "\n",
        "# define training and validation data loaders\n",
        "data_loader = torch.utils.data.DataLoader(\n",
        "    dataset, batch_size=10, shuffle=True, num_workers=4,\n",
        "    collate_fn=utils.collate_fn)\n",
        "\n",
        "data_loader_test = torch.utils.data.DataLoader(\n",
        "    dataset_test, batch_size=10, shuffle=False, num_workers=4,\n",
        "    collate_fn=utils.collate_fn)"
      ],
      "metadata": {
        "id": "mykKcHj-51B_"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## TRAINING"
      ],
      "metadata": {
        "id": "ig5g6IV07mcr"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# to train on gpu if selected.\n",
        "device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')\n",
        "\n",
        "\n",
        "num_classes = 4\n",
        "\n",
        "# get the model using our helper function\n",
        "model = get_object_detection_model(num_classes)\n",
        "\n",
        "# move model to the right device\n",
        "model.to(device)\n",
        "\n",
        "# construct an optimizer\n",
        "params = [p for p in model.parameters() if p.requires_grad]\n",
        "optimizer = torch.optim.SGD(params, lr=0.005,\n",
        "                            momentum=0.9, weight_decay=0.0005)\n",
        "\n",
        "# and a learning rate scheduler which decreases the learning rate by\n",
        "# 10x every 3 epochs\n",
        "lr_scheduler = torch.optim.lr_scheduler.StepLR(optimizer,\n",
        "                                               step_size=3,\n",
        "                                               gamma=0.1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 86,
          "referenced_widgets": [
            "1253a444b7a14bbda3b836914648d9ee",
            "f2f9f912782e4801ad96f9d485898c20",
            "08dcc99394374d10802708324930e5e7",
            "5b8c05bbaed64b2a96b8e303abb05989",
            "bddd64be5809407a80a8015ba6b9233a",
            "53863a265c1c4acfbd9976ef7bbfa73f",
            "2c75959b917246779dacba5dd8511e88",
            "5b9add75c61e4cc9a8c13b840f15ddc7",
            "7bdc0c3d2f5643f392672a554410271b",
            "a6de379268704ea4bae6ba9386445241",
            "efae860538d4416e84d6f44431658cb5"
          ]
        },
        "id": "QYrAxy7b7veO",
        "outputId": "30e85f54-7b00-4766-c12c-3b5e6369bb3a"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Downloading: \"https://download.pytorch.org/models/fasterrcnn_resnet50_fpn_coco-258fb6c6.pth\" to /root/.cache/torch/hub/checkpoints/fasterrcnn_resnet50_fpn_coco-258fb6c6.pth\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0.00/160M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "1253a444b7a14bbda3b836914648d9ee"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# training for 10 epochs\n",
        "num_epochs = 10\n",
        "\n",
        "for epoch in range(num_epochs):\n",
        "    # training for one epoch\n",
        "    train_one_epoch(model, optimizer, data_loader, device, epoch, print_freq=10)\n",
        "    # update the learning rate\n",
        "    lr_scheduler.step()\n",
        "    # evaluate on the test dataset\n",
        "    evaluate(model, data_loader_test, device=device)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GNFA6ruC7lGK",
        "outputId": "8172d609-9994-4313-f258-6120e0e769d3"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch: [0]  [ 0/20]  eta: 0:05:03  lr: 0.000268  loss: 1.5074 (1.5074)  loss_classifier: 1.2604 (1.2604)  loss_box_reg: 0.2377 (0.2377)  loss_objectness: 0.0044 (0.0044)  loss_rpn_box_reg: 0.0049 (0.0049)  time: 15.1546  data: 4.8040  max mem: 8205\n",
            "Epoch: [0]  [10/20]  eta: 0:00:30  lr: 0.002897  loss: 0.9368 (0.9941)  loss_classifier: 0.5418 (0.6873)  loss_box_reg: 0.2697 (0.2964)  loss_objectness: 0.0041 (0.0046)  loss_rpn_box_reg: 0.0052 (0.0059)  time: 3.0472  data: 0.4696  max mem: 8473\n",
            "Epoch: [0]  [19/20]  eta: 0:00:02  lr: 0.005000  loss: 0.6448 (0.7456)  loss_classifier: 0.3366 (0.4675)  loss_box_reg: 0.2377 (0.2661)  loss_objectness: 0.0044 (0.0057)  loss_rpn_box_reg: 0.0052 (0.0062)  time: 2.4658  data: 0.2720  max mem: 8473\n",
            "Epoch: [0] Total time: 0:00:49 (2.4699 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [0/5]  eta: 0:00:09  model_time: 0.9214 (0.9214)  evaluator_time: 0.0622 (0.0622)  time: 1.9623  data: 0.9412  max mem: 8473\n",
            "Test:  [4/5]  eta: 0:00:01  model_time: 0.8502 (0.8270)  evaluator_time: 0.0368 (0.0430)  time: 1.0987  data: 0.2143  max mem: 8473\n",
            "Test: Total time: 0:00:05 (1.1195 s / it)\n",
            "Averaged stats: model_time: 0.8502 (0.8270)  evaluator_time: 0.0368 (0.0430)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.04s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.190\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.413\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.084\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.190\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.196\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.483\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.512\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.512\n",
            "Epoch: [1]  [ 0/20]  eta: 0:01:10  lr: 0.005000  loss: 0.5187 (0.5187)  loss_classifier: 0.1893 (0.1893)  loss_box_reg: 0.3004 (0.3004)  loss_objectness: 0.0216 (0.0216)  loss_rpn_box_reg: 0.0074 (0.0074)  time: 3.5140  data: 1.2397  max mem: 8473\n",
            "Epoch: [1]  [10/20]  eta: 0:00:20  lr: 0.005000  loss: 0.3852 (0.3875)  loss_classifier: 0.1370 (0.1386)  loss_box_reg: 0.2253 (0.2293)  loss_objectness: 0.0104 (0.0115)  loss_rpn_box_reg: 0.0074 (0.0081)  time: 2.0517  data: 0.1460  max mem: 8473\n",
            "Epoch: [1]  [19/20]  eta: 0:00:01  lr: 0.005000  loss: 0.3571 (0.3820)  loss_classifier: 0.1347 (0.1400)  loss_box_reg: 0.2101 (0.2248)  loss_objectness: 0.0083 (0.0096)  loss_rpn_box_reg: 0.0068 (0.0076)  time: 1.9002  data: 0.0964  max mem: 8473\n",
            "Epoch: [1] Total time: 0:00:38 (1.9057 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [0/5]  eta: 0:00:08  model_time: 0.9063 (0.9063)  evaluator_time: 0.0225 (0.0225)  time: 1.6279  data: 0.6850  max mem: 8473\n",
            "Test:  [4/5]  eta: 0:00:01  model_time: 0.8174 (0.8063)  evaluator_time: 0.0225 (0.0230)  time: 1.0004  data: 0.1617  max mem: 8473\n",
            "Test: Total time: 0:00:05 (1.0351 s / it)\n",
            "Averaged stats: model_time: 0.8174 (0.8063)  evaluator_time: 0.0225 (0.0230)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.07s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.314\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.661\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.192\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.314\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.279\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.508\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.524\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.524\n",
            "Epoch: [2]  [ 0/20]  eta: 0:01:17  lr: 0.005000  loss: 0.3395 (0.3395)  loss_classifier: 0.1225 (0.1225)  loss_box_reg: 0.2045 (0.2045)  loss_objectness: 0.0071 (0.0071)  loss_rpn_box_reg: 0.0053 (0.0053)  time: 3.8613  data: 1.8266  max mem: 8473\n",
            "Epoch: [2]  [10/20]  eta: 0:00:20  lr: 0.005000  loss: 0.3302 (0.3222)  loss_classifier: 0.1245 (0.1213)  loss_box_reg: 0.1895 (0.1905)  loss_objectness: 0.0035 (0.0040)  loss_rpn_box_reg: 0.0055 (0.0065)  time: 2.0715  data: 0.1958  max mem: 8473\n",
            "Epoch: [2]  [19/20]  eta: 0:00:01  lr: 0.005000  loss: 0.3157 (0.3136)  loss_classifier: 0.1194 (0.1201)  loss_box_reg: 0.1883 (0.1830)  loss_objectness: 0.0035 (0.0043)  loss_rpn_box_reg: 0.0055 (0.0062)  time: 1.9294  data: 0.1228  max mem: 8473\n",
            "Epoch: [2] Total time: 0:00:38 (1.9401 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [0/5]  eta: 0:00:08  model_time: 0.8760 (0.8760)  evaluator_time: 0.0165 (0.0165)  time: 1.6842  data: 0.7659  max mem: 8473\n",
            "Test:  [4/5]  eta: 0:00:00  model_time: 0.8192 (0.8003)  evaluator_time: 0.0117 (0.0130)  time: 0.9977  data: 0.1721  max mem: 8473\n",
            "Test: Total time: 0:00:05 (1.0185 s / it)\n",
            "Averaged stats: model_time: 0.8192 (0.8003)  evaluator_time: 0.0117 (0.0130)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.03s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.446\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.831\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.401\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.446\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.344\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.581\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.583\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.583\n",
            "Epoch: [3]  [ 0/20]  eta: 0:00:56  lr: 0.000500  loss: 0.2413 (0.2413)  loss_classifier: 0.0937 (0.0937)  loss_box_reg: 0.1430 (0.1430)  loss_objectness: 0.0009 (0.0009)  loss_rpn_box_reg: 0.0037 (0.0037)  time: 2.8182  data: 0.9073  max mem: 8473\n",
            "Epoch: [3]  [10/20]  eta: 0:00:19  lr: 0.000500  loss: 0.2296 (0.2284)  loss_classifier: 0.0935 (0.0890)  loss_box_reg: 0.1272 (0.1309)  loss_objectness: 0.0030 (0.0034)  loss_rpn_box_reg: 0.0053 (0.0051)  time: 1.9771  data: 0.1163  max mem: 8473\n",
            "Epoch: [3]  [19/20]  eta: 0:00:01  lr: 0.000500  loss: 0.2372 (0.2600)  loss_classifier: 0.0935 (0.1011)  loss_box_reg: 0.1303 (0.1494)  loss_objectness: 0.0033 (0.0039)  loss_rpn_box_reg: 0.0045 (0.0056)  time: 1.8816  data: 0.0834  max mem: 8473\n",
            "Epoch: [3] Total time: 0:00:37 (1.8873 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [0/5]  eta: 0:00:10  model_time: 0.8971 (0.8971)  evaluator_time: 0.0341 (0.0341)  time: 2.1626  data: 1.2035  max mem: 8473\n",
            "Test:  [4/5]  eta: 0:00:01  model_time: 0.8234 (0.8053)  evaluator_time: 0.0175 (0.0197)  time: 1.1002  data: 0.2624  max mem: 8473\n",
            "Test: Total time: 0:00:05 (1.1210 s / it)\n",
            "Averaged stats: model_time: 0.8234 (0.8053)  evaluator_time: 0.0175 (0.0197)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.03s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.485\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.842\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.583\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.486\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.365\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.612\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.618\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.618\n",
            "Epoch: [4]  [ 0/20]  eta: 0:01:06  lr: 0.000500  loss: 0.3921 (0.3921)  loss_classifier: 0.1474 (0.1474)  loss_box_reg: 0.2283 (0.2283)  loss_objectness: 0.0088 (0.0088)  loss_rpn_box_reg: 0.0076 (0.0076)  time: 3.3213  data: 1.4448  max mem: 8473\n",
            "Epoch: [4]  [10/20]  eta: 0:00:20  lr: 0.000500  loss: 0.2549 (0.2580)  loss_classifier: 0.0945 (0.0994)  loss_box_reg: 0.1487 (0.1491)  loss_objectness: 0.0028 (0.0044)  loss_rpn_box_reg: 0.0051 (0.0051)  time: 2.0461  data: 0.1587  max mem: 8473\n",
            "Epoch: [4]  [19/20]  eta: 0:00:01  lr: 0.000500  loss: 0.2134 (0.2275)  loss_classifier: 0.0830 (0.0869)  loss_box_reg: 0.1173 (0.1320)  loss_objectness: 0.0026 (0.0038)  loss_rpn_box_reg: 0.0041 (0.0048)  time: 1.9089  data: 0.1025  max mem: 8473\n",
            "Epoch: [4] Total time: 0:00:38 (1.9145 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [0/5]  eta: 0:00:08  model_time: 0.8741 (0.8741)  evaluator_time: 0.0159 (0.0159)  time: 1.6795  data: 0.7682  max mem: 8473\n",
            "Test:  [4/5]  eta: 0:00:01  model_time: 0.8173 (0.8023)  evaluator_time: 0.0159 (0.0153)  time: 1.0023  data: 0.1735  max mem: 8473\n",
            "Test: Total time: 0:00:05 (1.0335 s / it)\n",
            "Averaged stats: model_time: 0.8173 (0.8023)  evaluator_time: 0.0159 (0.0153)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.05s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.514\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.856\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.596\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.514\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.381\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.635\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.635\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.635\n",
            "Epoch: [5]  [ 0/20]  eta: 0:01:14  lr: 0.000500  loss: 0.1792 (0.1792)  loss_classifier: 0.0653 (0.0653)  loss_box_reg: 0.1086 (0.1086)  loss_objectness: 0.0012 (0.0012)  loss_rpn_box_reg: 0.0041 (0.0041)  time: 3.7369  data: 1.6891  max mem: 8473\n",
            "Epoch: [5]  [10/20]  eta: 0:00:20  lr: 0.000500  loss: 0.1939 (0.1991)  loss_classifier: 0.0688 (0.0755)  loss_box_reg: 0.1189 (0.1177)  loss_objectness: 0.0017 (0.0021)  loss_rpn_box_reg: 0.0041 (0.0039)  time: 2.0620  data: 0.1854  max mem: 8473\n",
            "Epoch: [5]  [19/20]  eta: 0:00:01  lr: 0.000500  loss: 0.2020 (0.2142)  loss_classifier: 0.0781 (0.0811)  loss_box_reg: 0.1192 (0.1259)  loss_objectness: 0.0020 (0.0028)  loss_rpn_box_reg: 0.0041 (0.0044)  time: 1.9222  data: 0.1168  max mem: 8473\n",
            "Epoch: [5] Total time: 0:00:38 (1.9304 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [0/5]  eta: 0:00:08  model_time: 0.8914 (0.8914)  evaluator_time: 0.0161 (0.0161)  time: 1.7113  data: 0.7859  max mem: 8473\n",
            "Test:  [4/5]  eta: 0:00:01  model_time: 0.8218 (0.8099)  evaluator_time: 0.0126 (0.0135)  time: 1.0101  data: 0.1764  max mem: 8473\n",
            "Test: Total time: 0:00:05 (1.0334 s / it)\n",
            "Averaged stats: model_time: 0.8218 (0.8099)  evaluator_time: 0.0126 (0.0135)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.03s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.521\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.859\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.607\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.522\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.383\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.642\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.642\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.642\n",
            "Epoch: [6]  [ 0/20]  eta: 0:00:59  lr: 0.000050  loss: 0.2043 (0.2043)  loss_classifier: 0.0758 (0.0758)  loss_box_reg: 0.1208 (0.1208)  loss_objectness: 0.0055 (0.0055)  loss_rpn_box_reg: 0.0022 (0.0022)  time: 2.9928  data: 0.9468  max mem: 8473\n",
            "Epoch: [6]  [10/20]  eta: 0:00:20  lr: 0.000050  loss: 0.2321 (0.2359)  loss_classifier: 0.0820 (0.0879)  loss_box_reg: 0.1337 (0.1390)  loss_objectness: 0.0029 (0.0042)  loss_rpn_box_reg: 0.0054 (0.0049)  time: 2.0039  data: 0.1234  max mem: 8473\n",
            "Epoch: [6]  [19/20]  eta: 0:00:01  lr: 0.000050  loss: 0.2056 (0.2134)  loss_classifier: 0.0737 (0.0790)  loss_box_reg: 0.1238 (0.1265)  loss_objectness: 0.0029 (0.0036)  loss_rpn_box_reg: 0.0049 (0.0044)  time: 1.8816  data: 0.0826  max mem: 8473\n",
            "Epoch: [6] Total time: 0:00:37 (1.8871 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [0/5]  eta: 0:00:10  model_time: 0.9130 (0.9130)  evaluator_time: 0.0332 (0.0332)  time: 2.0023  data: 1.0249  max mem: 8473\n",
            "Test:  [4/5]  eta: 0:00:01  model_time: 0.8173 (0.8092)  evaluator_time: 0.0161 (0.0189)  time: 1.0732  data: 0.2317  max mem: 8473\n",
            "Test: Total time: 0:00:05 (1.0940 s / it)\n",
            "Averaged stats: model_time: 0.8173 (0.8092)  evaluator_time: 0.0161 (0.0189)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.03s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.525\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.856\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.604\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.525\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.382\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.636\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.639\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.639\n",
            "Epoch: [7]  [ 0/20]  eta: 0:00:58  lr: 0.000050  loss: 0.1590 (0.1590)  loss_classifier: 0.0580 (0.0580)  loss_box_reg: 0.0946 (0.0946)  loss_objectness: 0.0035 (0.0035)  loss_rpn_box_reg: 0.0029 (0.0029)  time: 2.9345  data: 0.9047  max mem: 8473\n",
            "Epoch: [7]  [10/20]  eta: 0:00:19  lr: 0.000050  loss: 0.2022 (0.2156)  loss_classifier: 0.0801 (0.0791)  loss_box_reg: 0.1152 (0.1282)  loss_objectness: 0.0027 (0.0037)  loss_rpn_box_reg: 0.0046 (0.0047)  time: 1.9853  data: 0.1161  max mem: 8473\n",
            "Epoch: [7]  [19/20]  eta: 0:00:01  lr: 0.000050  loss: 0.1967 (0.2072)  loss_classifier: 0.0788 (0.0767)  loss_box_reg: 0.1098 (0.1229)  loss_objectness: 0.0024 (0.0031)  loss_rpn_box_reg: 0.0040 (0.0045)  time: 1.8742  data: 0.0795  max mem: 8473\n",
            "Epoch: [7] Total time: 0:00:37 (1.8796 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [0/5]  eta: 0:00:08  model_time: 0.8842 (0.8842)  evaluator_time: 0.0167 (0.0167)  time: 1.7044  data: 0.7826  max mem: 8473\n",
            "Test:  [4/5]  eta: 0:00:01  model_time: 0.8207 (0.8051)  evaluator_time: 0.0155 (0.0150)  time: 1.0070  data: 0.1758  max mem: 8473\n",
            "Test: Total time: 0:00:05 (1.0382 s / it)\n",
            "Averaged stats: model_time: 0.8207 (0.8051)  evaluator_time: 0.0155 (0.0150)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.05s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.524\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.855\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.595\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.524\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.385\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.635\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.640\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.640\n",
            "Epoch: [8]  [ 0/20]  eta: 0:01:23  lr: 0.000050  loss: 0.2501 (0.2501)  loss_classifier: 0.0967 (0.0967)  loss_box_reg: 0.1443 (0.1443)  loss_objectness: 0.0026 (0.0026)  loss_rpn_box_reg: 0.0065 (0.0065)  time: 4.1542  data: 1.9996  max mem: 8473\n",
            "Epoch: [8]  [10/20]  eta: 0:00:20  lr: 0.000050  loss: 0.2212 (0.2043)  loss_classifier: 0.0758 (0.0739)  loss_box_reg: 0.1316 (0.1226)  loss_objectness: 0.0024 (0.0026)  loss_rpn_box_reg: 0.0051 (0.0052)  time: 2.0898  data: 0.2112  max mem: 8473\n",
            "Epoch: [8]  [19/20]  eta: 0:00:01  lr: 0.000050  loss: 0.2212 (0.2068)  loss_classifier: 0.0761 (0.0771)  loss_box_reg: 0.1316 (0.1227)  loss_objectness: 0.0026 (0.0027)  loss_rpn_box_reg: 0.0037 (0.0043)  time: 1.9295  data: 0.1311  max mem: 8473\n",
            "Epoch: [8] Total time: 0:00:38 (1.9369 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [0/5]  eta: 0:00:08  model_time: 0.8529 (0.8529)  evaluator_time: 0.0163 (0.0163)  time: 1.6531  data: 0.7732  max mem: 8473\n",
            "Test:  [4/5]  eta: 0:00:00  model_time: 0.8201 (0.7965)  evaluator_time: 0.0123 (0.0139)  time: 0.9931  data: 0.1738  max mem: 8473\n",
            "Test: Total time: 0:00:05 (1.0144 s / it)\n",
            "Averaged stats: model_time: 0.8201 (0.7965)  evaluator_time: 0.0123 (0.0139)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.03s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.523\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.856\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.593\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.523\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.383\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.632\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.638\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.638\n",
            "Epoch: [9]  [ 0/20]  eta: 0:00:56  lr: 0.000005  loss: 0.2044 (0.2044)  loss_classifier: 0.0789 (0.0789)  loss_box_reg: 0.1170 (0.1170)  loss_objectness: 0.0019 (0.0019)  loss_rpn_box_reg: 0.0066 (0.0066)  time: 2.8017  data: 0.7839  max mem: 8473\n",
            "Epoch: [9]  [10/20]  eta: 0:00:19  lr: 0.000005  loss: 0.2156 (0.2165)  loss_classifier: 0.0789 (0.0818)  loss_box_reg: 0.1226 (0.1270)  loss_objectness: 0.0022 (0.0026)  loss_rpn_box_reg: 0.0047 (0.0051)  time: 1.9863  data: 0.1067  max mem: 8473\n",
            "Epoch: [9]  [19/20]  eta: 0:00:01  lr: 0.000005  loss: 0.2044 (0.2069)  loss_classifier: 0.0709 (0.0779)  loss_box_reg: 0.1176 (0.1221)  loss_objectness: 0.0022 (0.0026)  loss_rpn_box_reg: 0.0042 (0.0043)  time: 1.8726  data: 0.0733  max mem: 8473\n",
            "Epoch: [9] Total time: 0:00:37 (1.8784 s / it)\n",
            "creating index...\n",
            "index created!\n",
            "Test:  [0/5]  eta: 0:00:08  model_time: 0.8895 (0.8895)  evaluator_time: 0.0301 (0.0301)  time: 1.6685  data: 0.7250  max mem: 8473\n",
            "Test:  [4/5]  eta: 0:00:01  model_time: 0.8208 (0.8035)  evaluator_time: 0.0161 (0.0180)  time: 1.0043  data: 0.1711  max mem: 8473\n",
            "Test: Total time: 0:00:05 (1.0256 s / it)\n",
            "Averaged stats: model_time: 0.8208 (0.8035)  evaluator_time: 0.0161 (0.0180)\n",
            "Accumulating evaluation results...\n",
            "DONE (t=0.03s).\n",
            "IoU metric: bbox\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.520\n",
            " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.855\n",
            " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.583\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.520\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.386\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.629\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.635\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000\n",
            " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.635\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The evaluation results show the average precision and recall of the model at various Intersection over Union (IoU) thresholds for different object sizes and detection limits (maxDets). The average precision and recall are measures of how well the model is able to detect objects in the test set. The IoU threshold specifies how much overlap there needs to be between the predicted bounding box and the ground truth bounding box for it to be considered a correct detection. The area parameter specifies the size of the objects being detected (small, medium, or large).\n",
        "\n",
        "In this case, the model achieved an average precision of 0.519 for all objects with an IoU threshold of 0.5 to 0.95, and a recall of 0.633 for the same threshold and all objects. However, for small and medium objects, the model was not able to achieve a meaningful average precision or recall."
      ],
      "metadata": {
        "id": "zSf9lmqJBitK"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## DECODE PREDICTIONS"
      ],
      "metadata": {
        "id": "beXyRaIvCTRE"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Our model predicts a lot of bounding boxes per image, to take out the overlapping ones, We will use [**Non Max Suppression**](https://towardsdatascience.com/non-maximum-suppression-nms-93ce178e177c)"
      ],
      "metadata": {
        "id": "SH9zDTqjCcpz"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Torchvision provides us a utility to apply nms to our predictions, lets build a function `apply_nms` using that."
      ],
      "metadata": {
        "id": "Evzj_ZKrDE0p"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# the function takes the original prediction and the iou threshold.\n",
        "\n",
        "def apply_nms(orig_prediction, iou_thresh=0.3):\n",
        "    \n",
        "    # torchvision returns the indices of the bboxes to keep\n",
        "    keep = torchvision.ops.nms(orig_prediction['boxes'], orig_prediction['scores'], iou_thresh)\n",
        "    \n",
        "    final_prediction = orig_prediction\n",
        "    final_prediction['boxes'] = final_prediction['boxes'][keep]\n",
        "    final_prediction['scores'] = final_prediction['scores'][keep]\n",
        "    final_prediction['labels'] = final_prediction['labels'][keep]\n",
        "    \n",
        "    return final_prediction\n",
        "\n",
        "# function to convert a torchtensor back to PIL image\n",
        "def torch_to_pil(img):\n",
        "    return torchtrans.ToPILImage()(img).convert('RGB')"
      ],
      "metadata": {
        "id": "gtl53IIPBj1f"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## TEST THE MODEL"
      ],
      "metadata": {
        "id": "nBqBoYCyDzza"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# pick one image from the test set\n",
        "img, target = dataset_test[5]\n",
        "\n",
        "# put the model in evaluation mode\n",
        "model.eval()\n",
        "with torch.no_grad():\n",
        "    prediction = model([img.to(device)])[0]\n",
        "    \n",
        "print('predicted # boxes: ', len(prediction['labels']))\n",
        "print('real #boxes: ', len(target['labels']))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hANX0QY8D2MW",
        "outputId": "a7e745c8-587d-4c4d-c6a1-ca396dc68a45"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "predicted # boxes:  14\n",
            "real #boxes:  1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "prediction"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SPT2WfC-f5EN",
        "outputId": "2bd30854-7fe5-43be-a8f8-93444d920102"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'boxes': tensor([[ 61.2029,  98.0812, 265.0255, 386.8562],\n",
              "         [191.6516, 101.8145, 315.4326, 369.2085],\n",
              "         [222.9939, 143.3630, 449.6528, 396.0480],\n",
              "         [ 77.4262,  42.3928, 441.3201, 404.2826],\n",
              "         [ 49.3119, 122.8917, 423.8429, 427.9717],\n",
              "         [154.9239,  70.1597, 353.3071, 417.6960],\n",
              "         [219.8286, 122.4041, 462.5690, 461.3153],\n",
              "         [142.0943,  58.4043, 352.0984, 456.9451],\n",
              "         [ 75.7520,  56.7903, 274.4214, 465.5209],\n",
              "         [167.9008, 101.3007, 441.5921, 395.6209],\n",
              "         [205.9366,  97.8071, 341.9937, 402.1899],\n",
              "         [ 43.3222,  60.0291, 267.3872, 400.6040],\n",
              "         [164.3123, 118.1532, 311.6446, 329.3825],\n",
              "         [174.9739,  74.2548, 307.8136, 366.3134]], device='cuda:0'),\n",
              " 'labels': tensor([3, 3, 3, 3, 2, 3, 2, 2, 2, 1, 2, 1, 2, 1], device='cuda:0'),\n",
              " 'scores': tensor([0.8592, 0.7733, 0.7232, 0.4505, 0.3654, 0.2479, 0.2476, 0.2031, 0.1950,\n",
              "         0.1699, 0.1604, 0.1576, 0.0748, 0.0609], device='cuda:0')}"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Loading the tensors to CPU\n",
        "for key in prediction.keys():\n",
        "    prediction[key] = prediction[key].cpu()"
      ],
      "metadata": {
        "id": "dgTsP-JMmH_M"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print('EXPECTED OUTPUT')\n",
        "plot_img_bbox(torch_to_pil(img), target)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 340
        },
        "id": "ZPzzEse-EHif",
        "outputId": "a3826349-ede2-45b1-c993-9433c266118e"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "EXPECTED OUTPUT\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print('MODEL OUTPUT')\n",
        "plot_img_bbox(torch_to_pil(img), prediction)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 340
        },
        "id": "l5RNfuM2HzfJ",
        "outputId": "dd77b40c-e135-4165-d474-ad8754ee0769"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "MODEL OUTPUT\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "nms_prediction = apply_nms(prediction, iou_thresh=0.2)\n",
        "print('NMS APPLIED MODEL OUTPUT')\n",
        "plot_img_bbox(torch_to_pil(img), nms_prediction)"
      ],
      "metadata": {
        "id": "gvbx2TwVEbHn",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 340
        },
        "outputId": "70a6b401-305b-46b4-8381-542fb2990a97"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "NMS APPLIED MODEL OUTPUT\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "test_dataset = FruitImagesDataset(test_dir, 480, 480, transforms= get_transform(train=True))\n",
        "# pick one image from the test set\n",
        "img, target = test_dataset[10]\n",
        "# put the model in evaluation mode\n",
        "model.eval()\n",
        "with torch.no_grad():\n",
        "    prediction = model([img.to(device)])[0]\n",
        "\n",
        "for key in prediction.keys():\n",
        "    prediction[key] = prediction[key].cpu()\n",
        "\n",
        "print('EXPECTED OUTPUT\\n')\n",
        "plot_img_bbox(torch_to_pil(img), target)\n",
        "print('MODEL OUTPUT\\n')\n",
        "nms_prediction = apply_nms(prediction, iou_thresh=0.01)\n",
        "\n",
        "plot_img_bbox(torch_to_pil(img), nms_prediction)"
      ],
      "metadata": {
        "id": "o7oIc5YsF5mM",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 698
        },
        "outputId": "0e6d9258-a2f5-4d17-aa16-937557b925a6"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "EXPECTED OUTPUT\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "MODEL OUTPUT\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ],
            "image/png": 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oweEpgHcO7zw5FUpKiAhalJyqDROQ6Yk6IzOQ6XGiphj7hz6nzuOHFecAd584zUymRn/Zds60AqC6gcIG5YhRT9j0HethQ5du8sad3+WLL/11dH6MSkIxMJjKmuIK6gtFC+pgLIlCAYlImIBScWq9oiymsSxFquDbmaeZHSxS6RGIkErBSal6+0LKWn8jKyFNqymIV8Ql1Au5KH2y7ND5RPRCwuHE+nzvrF7n5te/xEtvPsfPfubf4EOXf5qoC3PkqAdhCaWr00XP9yNG3wKVTA3+s4OLQqFn0x8irr5XFLSk6Ze17CsVsiss5i3i7HhKMTG9956ihTTYOxqCxweP87WP5iyzSxPA5YJ3kRAba0dkA8qbd97lcHWTxeKZf/ST6zz+WOMc4O4TWmqPTSwLKcUjEoBMkRVjPuB4uMGNk1d598bz3Dh4gdtHb7MajunzCV25Q5ID1CWTCGkGTZx28dSoH6qU3JCyJ2VFi626U8yIMUYTiBccisPJqfGiyrRo5eyYVrbdQamlYxErvVQFRzHYKXZM6qykFYwaoWW0jC8GxGWK9uASThI5n/D6rS+z+eJ/xS/+aYXhEhd3rjFz+wQ3r4MUtrcGm2h+r3f6DP9OFPN7s+zPMtSBk80tShnsBiGC9zaMmcjPRZRhGAkh0LahDgASEoTgPaqOlBK5sjtKMeBTlJQzWUtdTGOvKlrwBEL0SIiId2z6Q24fvMNjy1x7sec53MMS5wB3n9CtTXVBJVPcSNYjNuk6793+Gs+/8hu8fusrnIzXSWVNKWtcLGQS2SnJJbKmMzmMpVkTDUHOuIMUTRTNlJLN+WJiSBQouaZm3uoicULwgeADbrLxkWolpOZUq+JqX874c4IxYEXN5NEMH4M9pw6oZpxM38sUCikl/GxtpaIL5NKSS4NzI9dPvsYLN3+ZG28XHtn5OD/1yX+WeXmU1u3XLBGEs0OG7+sdP/NhQG1gObLZHIFTmhjAy9auqBRw4mzwgbDpBlQ8bRuNy+YcugUzRx4Ge3bncCFQSmHoB0q2v4tzDh88wdkAIhfFSca7QnGjDWnumqafx8MQ5wD3vlCKZnADox6yGd/jYPM6L7z+u7z2zpc42LxCl29Am8g+IVHQNEBwNh3NhVwUxW8v+O0zq2JLUUBreTWWwljqpVOvGxEhq5CS2lSQ2mcS8L7QhECIkeCwSaEzULFL3ZGx0iuXjNiL4VBUhaKBIg2ulrviEloCqg7vRrzL5CLkAWLrKQVKzsCIkmjbgee+/bfIQ+CNd79GOxN+4iN/gUCLZ1mnzmBpov+HxwKxm8tkRy5OyTlDKHixDEyrDVIpSk6ZlDNpTFa2y4ymjUbNUwMvdUIR8GL/T2kkp8wwDpRi77evLiRUIX3RQikJLSNSBgojwjRBPo+HJX7EAO59rNr7P8Yf8/I7v83vf/1/5iS/xMHmTbp8TJEBaTNhnsgKZVSkOBRPSoo4XxlvDiVQyBTSmWdWcip10CBkVbI6irhKraj9suIoVrGRSVsWhqqQi9CNBRm6CnhC03gaj5FeK1E351JL4gp8olbVuULR2pPTwb6nAYrDuYAXjyNScmEcpvcs4V3BN4Af2JRD1CnSDnzpO7/C/vwKn3hiDy8z0HCG84dloHL/93rqu9UU9MyfaJoSJ0Kj5JLQlIhtRFwAEZwoKZet5ArnGXPi+GTFUufMZq3RZEqpmbHdIXLODMOA5mIZ4OQ4oqfzDee93WRSIpWRPKxZrQ/IpHsumPudT3rP5+fxw4wPMMCd7U2d/UoFEp0cKKZv1gtRrNR87foXefH634L5CUUyMsu1RzQnSkspVrLkYsMDcc6a3pULp6SakVW2q1pmqAipZh+l9uLQTCnVgFIc4gS0VJACJ+CmXpmYztKeJzMk6MdMDJ4m2sTQeVt47OtL+60fmtFxRTIipZaxDjRVtyVhVHB1/R6l4Ko5sBOjhqiC8wHcSOGY9fgqX3nll7m0f41Hdn6cwD6UppJ3C+oTqKckhwt1rCBn/yKWYRq4FLQoKoVRT3j1xld5/dZXwCe0FEoqtLOGnM2VV0shO8VHZ4udk2V2q3UHYnZIWhLj2JNLQce8bQF4J/UGMcm17P0tOjDmgveNDXXq3of3bn6H4cM3CW7/zHAFqDcgOeuuLNOO1rvPv/P4448fLUq2UpvTYERVI+vahM4mjKqZwkh2x2g8RkIhtHNctOmbJyIlIGrk36KFIkrWwlhq01pq05zaz1NLwbRY2ZnSREa1i1qkbK8DYQIAAyVXB5MiVKtte26dBiDAWGDdZw6OBw6Oek5OOlLKOBeIoSFEIxkjzsjGgonGqb03UQqpKgi0Dh90+ziKclpDe0p2CNFAPKx57/DbfPWVv0en141zV0tDm/QW0NGO+0xycypRO8N1OROFnlffeoF3rr9Se5RKGkdKKtvys2hBnBKC25pXeu8Yh8Jq3YM4YmxqxueqEaYQgyeGgPe2DtDIy7LN5saUGMdsE9YyImHktXe+xvWj50kcnKEO/aEn2j/cuXkeP5D4AAPcqabwrihuC1BTxiZVVC2uUCQz6m02+QYuFlJJlpGp2RPlkunHnjEnUs71e5CLkkux0pKziaGBmZWj2ELiOjso9WNbqYllaLnkrTOt965qJ43jVcAASOoE1E+ke7t4VQt9X+h6Oz7nI227oJ0tibHZZiuTrtI+TIolzuF8YPKZK9Pg4sykUevxI5Gsig8OFzOvv/McNw6/Q9KuitQHcFUAL1SqxwT69/6NZJtR6/YmFHnq8Y8S/IK2mSPi6PuBYRiMsFPM6ijGiPeeEML2o2k9KSVWq7UBdH0p5w3Yog9457c/F2MkVAKw947gbQiBQGgcWTYMcoff/fr/yq3NNygcn/kLT0aj55nagxgfoBL1H673oZWwW7CSVOlROjbjHb75+q/ywqvPMeQN6gN5HKFkYzJkY7pnMTADZ2VpMQAToS4LpnLX7NVUxACtnB7tBHJWnlXRtxhNRTmdnCKVZyZS9wvUjQrOXstaXA5vhLItIB0ddYwps7uzYNY0hAglbbBJrreyrxScO5UuOedPgQzFVRS0462giAP1hNiioox6yOALz7/2mzzy2c/hnOd49R5N3GHWXEQ0bDPQu6ghU3PxzN/Nif1Ngmu4uPMIUZZ0+SZt05JyYUwDPrAFJ5VidI+siDiGwUpoZWSz3myzUvuLO4Lz2/fa1WmrSJ3a5mwkYAlkVZwEQrBhC/3A6ze+zG99dcFf+BNPsBP2OJWquaonljO/13k8CPEBAjj4bifXtpmNgsuVqzVReRMjR5z0r3P96Jt87flf48W3vkwnb+FaapY2UlLCVbZ70bHSsKpcqWZpKtNJPgGYnJoo1iwv5dMe1FZmJGcv+7u3uOuUD8rdvSu951+uNvKlHsNEO1lvRlI6ZrmYMZtHvA84p2hRxnE8897Y+5RLsYSkTK87TUJl4tciYvsJRAs48LMCcsSbN7/Ene5lLi+Ul9/5HWLT8vGn/hyBK1QVLtYDvbc/dZoBVSINQmDeXODi7uPcvvkyrjHtqQj4EPAhkIqRdHMFOKabBGaHxJYjVzPh4AneDD8no4OJYjPdZFRHa8eKtSQQWHcbXFb6IXHz5BX6dMCOT9i094wVvLDNQM9dRx6M+AAB3Hc7o6YL2BQJI4eksiKXntVwh/fuvMTbN7/B69e/xPWDbzGUG2QnFDcwpkzRSrYthSJCycZZw8cqEyqVGAziXe2XVdVAsaxCVRHnyEMyUJPTo4IKXJVVTx1STNe8iGxJwTDtG9jOLbYXktRsS2oGaGaOduF2YyGfbBjzyM5OS9u0DMMA2LYqG3gYH45SEG9KieAMoHNSxJtnGiK4Wsa52qNTN5IoKDd4+/ZXaILwyvV/gFK49ujH2W8u4KSx45/s1PFn7kc1c53eCwRPpPFLLu9d47U7Ld2wRmVAgjIWE/qnPBquiCDOxPYimLYUiDFCGhGBED1tE/DO/h45mwZVENOnTiqIbFItcY5xGBi0UHLGayLOFvgmk8qKQm/TZ6ZFNPebqJ6j3A87PkAAB+8/oU4b+caM7/nma3+Xd+58iYPV6xyu3+Lg+Dp93lS94QYNIyrGIUvZntPVJb9Zq6azXo256JaCYFIfk1e5CnJKMYWmc+QCqZzN1qROWWtfqpaezlnTf5sBSGFyyTaelgcyUk6zVZ2aehPBtvLHRKesBMai6GYk58x8Xogx4H2sgFnI2Rrn0YVacheDIl8VCmd6h+hU4Nt/czF4c7Hn1Zu/T5dvc2vzPCUnXn73t/nsU0/g9aoBKHo3meIsyKFM6hEQoltwYfcRlrMdNK3pU2IcOzbdpt5MHFLUBifOkZJx15yb2gFVKyv2O6SULH/UM1n9mVNGJv4bQoyO1rVMdyTPjEZ26YcTXnnjeS5+5FlimG/XX9w9tZe7bj7n8cOLDxjA3S/K9qMw8PK7/4BXb/06ox5QZEVqRpvQJRsATBSPrKD17pzTWCeNUMQ4ZCmbznOid0wTRxOEW+kTggfv6+Yme50Jrc723exndfthAHkKA0bToJZgavY+ZwYVuRRMrWBWSvZDrk4Jp+cCSmHoM0O/Zj5vWMxntLO2lsWllrU2NVVVkqnYCeIsqzR+CqJCdImmnSESGEY1qyYSb93+GjcPXyTLCSqOb778q1zafZqnL/0pPBe4i/wr09/nbB/uVOwleJowJ8TIPCxgzOiQ6PuB2DTMZjMQUyFoNlmc3SAMxMSZvtRVg0sFmxxX916w992JnBI/xOF9qJ9lmhiJLuA0UMaRoTvi7Xde4rNPr4jhIkXDFrgNM89R7UGKhxDg7lcK/GHfn/pUxmfKMtKXDnWJLMajykAiM5aMD+Y7poNDNYAWiiZ06o6JkAr0Q6VUUAcL9XW0DhVEQEel5EyMkZTy9gJDsIuqNrhzTpXCYJvXgW0WOP2G06q6nIv1AqUaZRbFeV/Lrjy1+6zPRgaM56VoLW09OWfW68Ea884xn7eIFMbRwDWltC2JSy4UT3W/hcnmm6KUnHCuQTWgFOOPyQHoTYQ54mYc96/y7df+Ho/v/xgx7COYC4tMZfddbVPdfpgq1eOlIaeCbzwz11o53JmB5Xw2p21b+qFnHEZTOdTJb9lmaUa3ESB4b71AOfMxvXKZbjAGcE3TEF0kOjFnkmHF2AmeJVeu7NG2DtV82n/7Lufeefxw4+EAuDNDAj1zEUwTrKkMs7KgACNU4qWpATYkvcmtzQvcPHmRLBuKJhArHceUUC3E6Ko3mI3+S91iVeoEFGei9zFnc+kQjJohlvlNzesJZBClZCWVAVCz7aH2x1CTUVGMkFsJb57ai5vyGDH5lYg3EHW6BQc17gMijqyFpJlShxhSicH2rmW0FGOW1CUrpRT6YaTrB1TUdhS4QMljncIWvLNy2/tpV0OVn0kkqaeMivc9k726rxmmIpX3NkIbeOPW87x7/CpPX/wQwexQ2MrYKkDIVKrX8l/rwubAPjo6kmR8G4m+odHOeqEJCgpjonUzNChD3iA5kwqM2bJrW9JTCFWpIXVibL+T/S2SDuQy4l2AUhj7jiH1lKRozngRgpuxmM84WR2Q8kDj62m4PR+nTHQ6N88nqj/seCgAzk79e6dv04ee4TppnVxW+Y0kxnLArfW3+dorf5dvvfob3EnfgdBRyARnJWjJ1lvTlNG6S9SygFx7biDOm0ZT2YKbVJaAXTCnNIrpMBVOSbpT562Wi7K9MArOC975enELeRzJquDsNy+a0az4qlLwfprOmjAsZ9sgJcJWveC2U9f3l73WFDenkeOTNWOOLHVB0zSIBFQ7gjdhv/fm4KEqRN/iJOIk4l1AyeQ8oprw7tRKqmgAUbyzhcqbfMAr73ydD138SQINd23zqgBzdpdr0WmxtbC/cxXvPOt+JIhDmkDTLOi73gYFkmhjiw9L+tyRtaPUHqErdrNwonhRvFMcUrM8ez0RJQR7Xx3T8KFYOV4avM6IERwF0cAwKOv1wDAmmkoMPh0wnM7C7wa88/hhxUMBcKeh3N+hopZTNXOz5n3PJr3Jd974Nb74rb/BO3e+Du0a19gyukmMvm2eY0ODafIJllXJxOQXA8KUik3aall6tpdjICeVPFuzNSfmKnumsT1Z7siUakEtIbVOAMvd9/0zlY8T2fbWbCeBZxgSkizj8mf3dm7VBFQiMHXia6Wp90LOytCPoGuGIaEl0UahbWY0TWOT0iI4Al4iMcxpYkvwnnHsGPpUS3O1PdOKZaZi2SICoRl599Y3WA83aJoLNcsuKB458/ecelh2w/AokUv7jxJ9iyRHtxno173J4ogUTfgQWC4u0s4WHK0PGcrawDFXDatq5czVPRFajUJx25tNSiNK3hKrHYJoxDEnsCA4wYvS+CU6XOCZpz7FzuxyLbfvBbXzjO1BiocH4LTWA9vMhHrhT6WoTUmTHrMZbvDmrS/zjZf+Di+/8zv08h46G1CHuWmU2mcDqHY7k0DdxNuTNhImkq0Wrdbguj2Fp35UqYTZu6ZmZw5SKxnXdKTTkuLaA/JGKTFws0Z/2GYGp0/nJmIqAsWIrt57O14ywdfvVTBFrf9n+DmBLibBqhejqwoJLa6+9kATPFqEJs6Yz2YG+MXjCAiRxWyXGBtyGej7rjp4TFSW096i7Z8I1VRgw+3jF3nv1ivsP/4xpswVrctMt1PUs1muBzxN2GVv8TiH3TuIdFAcw6i2mBmlbSOxXRDjDCcnOInYroxE8A5qn8x84GIFT1tIE0KklETXDSgZ563z51wguIjTBdEtzL3FFSTNEb/HI5eeRlhi+2WNKvT+fdDnQPcgxEMBcHaqTPSB6Q5cjQe17qzUQpdu89Xv/Cpfe/FXuLn+Gp2+jTQdSQq5GHlUNKMlm1SrNqNzqXKqKiso0/DAsWXyn52WimALgytPbKIEbKkBcvZ47VjBvj8B4vSLCZMkyvpeU3l5doO6Cw7vQrVG0m3m6ERIxTzdQnAEXN0bURvtchYwqsKhTi0r5OK9N5JsMpAehkL0DeOYiFFpY4tz1uxv4pJFu2tuHAo5pTMX9wRs1ucKvsFpYzeUvIawZtXfqr1Dd/r3u+evPL1P1huLRL/PJ5/5s9w6ehXVEyQ4QnEMuWEcN6zWA5vlhr4bWK96SrYWhQ0wSl0KXUFN/DbrbWKDD55hMB0qdXNYDEtiaAlhRnQ7RD83pxZRuiNhZ3GVvcU1hLYCdO2f3nf4dQ5yP+x4KADutI+rta1R+27O+mzml9azyi/zBy/8dd669XvI/DbSjKjzjMXV4qH6o1nb3gTpVYOYxmTgUC/WUkqdeNYhRjl1/BB8HWxYf2scS+1xcdc5fapYMKqCr839yfBSaoNOt3w6AzapZahNWDOzZsasmeO9Zxj6uhLPBioJiN40pM4HRBxjTuSUIITtQRiAisGKCIJRTVKagHvi3imbrgcRfGhwEojOs5wv2F1eREpgHGwQkTXX361y6cBAxXlwHkeL4hDfoCkzlGOURCkR50Ltld7bv5oO2bK4ILs8+8Sf4a3rX+eF926icoBrAl4XDIPSdwMHh0fszHdYzHZomXF4bFu4ck5mTy7gJOAkEnzEOU/bznDeMY4jk4lAE1sWzT7L+T6LxS5Ci5fAsDnm6PYhftjjyqUnWTSXUaJBmAM7Kc8dRB7EeCgAbhvq0GwgVESBgcwJsKHX27x0/bc4HF6GtmOUES+eoq5Wshkko9mWo5SqLrA+m2x925RKcq19slIBCE4ntVDQUnc0TPpMG2i+j9wplRIyASJYecnEe6vlrfXFQJzZHDkH3nlmbcvOYg9RK/vm8yUnJ0fbkteJI7ahcresZBpH28buo/15txPeCnCALVspeuokjPXpwEDveLW230WFEqEdR9brle08FWVMHTkPmEG6x/tJImaaXEdBdSRrsJLPN9w5vE7RDY4FW2uh9wHb2XCgkd34JH/yU3+R20ev8M7x1+jHgaTgfKQwkFLCucjOco9CoesHSm/G7SK26s+7WDN4jxRHHjN5zGgyjSooZCH6GaKebtMzjh1k6FYnyOBp5SLPPPZPENiz3qFMZ4x+j9/jPH5Y8ZAAnIKMEARVT9ZMlp4uXef6wTd5/fqXef3dr/HWrW+w6q8jbcH5luLKNv2TYj2zUkXk5ILz3hjvAtTFxopWJj/Wr6qPt56XGvdpmvsVAzfn2GZVZ0uVyZ7HOTe5J235bqafLJVaUmdu9bli9JW8qpXaEGjijFIKaczsLPZAlK47xoknOIcWJeUegOiFokIahzoF1u0lKOIt+8q5UmKm45o+HDhPTpmTTQcIpVVmcY6oZ9bs4INjOF6R8obgqZPKKklTy3q1KGPuwLV4N0dzy+HJDfpyhyD7cFeDfkp97y3rLdMMLHh097P8mZ/8t/iV3/kveOvO8+S4ITOiMjL0B8z8DjuLC7gQCd4IyFbS2/TdiYFsG1p88Khmuq4jpwLYprLNpidt3oXiUYFSAkECi2bBjD0ev/ppHtn7lAF0PUapk/vzrO3BjAcI4M7eBfUMTFhD2txxexJHHPXv8Pbtb/GV7/wab1z/GkO5zagnSBhx80wmU+qSEoS6oznUgYItVlE1fWXJJs0R54zzVPs/yCRNsr6c86YMGMf8vgGA9xNpdxqC3EsmPX38VHqWUo03nfXDpC5UPi19TQnRxFib4RjHDcvkvIe+9pSMLWNl+2ThVIoNSjJ6qm1FthQY1dP+3NTXM+cS6vZ2KGNm3W3IY6EJLTnCYrEk5Z6uX5ssqolbjzp0AqXK5ZMMEhAJoJH15pCT9XWWu09y2ge8l0qhZz7qhDkXvL/Ahy7/LP/0zwi//qX/ltduPQcymP8emYPDA3Z3L7G7v0/bLlj3ESmu0mWMvDtr58zaBTEE202rnVFCVKzH6QQdR3LuUIScHKkESgf7+8/w8ac+z8w9DrR2i9vKyqa9sHqOcw9YfE+AE5H/EvgXgOuq+pn6tUvALwHPAK8Cf0lV74h1s/8j4J8D1sC/oap/8L0PY+KyuS3OKSNZNoy6YkjHbNINbhy8xAtvPMcb736TW8evs0m3iLMRgvU/iuRqNilUf+46NVNSSdResm2aAlLlQiG2I1PUWP7OO+M9oYYqdskSvDX2LVPhNHtzphxwolsAUxspWranU59LMP85IUSbCtsUdMqeBC9CEwLexbp0BtBC33d0fYf3npnMUTyhTjNT7qwXmIpNdr3WAYg9b85m7eTcVK7rVmhuy2vOal/BB8vEsppJZ59GDldHjLMRdwIl16U60fqXdvxG7fDS0MY5WrD3zy1xavbhw7hiGI45Fdyfun9sX3ybydm/FRAvIC2RR/jI1V9g5+f2+ftf/O94+d3fo5MbjHrMultzeHxInLXEEImxZTM6Qt1/GsShZWCzTgw+1n0Oxnkbhn47SRc8lEz0kTbOaPUCj+x+nM9/4p/j2oXPQJnV3u/Z4+UeYDtHuQclvp8M7v8F/MfAf3Pma/8e8Kuq+h+IyL9XP/+/An8BeLZ+/DTwn9b/fx8xnRSFUtYMeovXbn6NV9/5Mm+89y1uHb7OerjDqCdo6MiuR2aJ4gzMxMHEjtdi7H+K7b703pGkOtZWZFJVUk6Y9Y+rd3mbKG7lVlovMYHgrck2esc45nrXn3plFeTE/q11EkuuJOGqlzRAm+RTgg8exsrVct7cZqtqoORsfmcl0/cbhnEkRit5Ux4YBqGdNZZp1M3sznlz0HBsOX652ODCu0jWRD92tZQG3zRb0uvECZt84LzzJgFwtppv3a1IeaBINleOJljG6l3VrgrBNXgsq3TeaB7KkuDnFB0om5FcRiaroqmveZoN1yzo3mU9NQv2RBwXeWznJ/gLP7PDb33tKt985ddY63us8m1u3nyHJjpmyxmgNnRxNbMsI3kEJJBSIY2JrluTS4/3UhUnxqakBNAF8/go1y5+lj/xyX+eJy//FJIv2nm1zdRO1RB3n8Pn8aDE9wQ4Vf0NEXnmni//ReCfrP/+r4FfwwDuLwL/jVo3/QsickFErqnqO3/4q9S7OQWVjm68zq/+5i/xxW/+bVb5Dfx8g28VFyKZEZGeIj1mA95gnKrezrtJXnDmApqGBqUuPTY6g9ZyMyPVxtvsvBO57iLw3hk3SqglqK+TzAyqtfyxLCR4v50Ims13Qdzk9krNJivQiZzmJ9shRhV910b/ZMUNhZTGLbfMifHRYhNZLmaoJrr+qIKrbI/J+UDKhfliToxzVIWT9RHoWEtXcJhDsZvoDpibsDmhTMCTzcCEwpgyXS+EsMCLaTtjCJSU61pCIfhIDLFqSD25RLSC7FgGxrHjTNfxu5wLd52BbI0lxTIszy67s4/wT/3U/4Fnn/pxvvDVv8Vrt77IanOT9dGKWeuYNZ5VX+p7NrkVzwlhxmbd0fU9JY9146xRSJrQ4FmQu5ad9kN88ulf4LMf/ae5OP8wUvbwrq2uLw6577Gfx4MWf9Qe3KNnQOtd4NH67yeAN8487s36tfcBnIj8ZeAvAzz11FPTVwGhCXOuPfY0T9z6CKs0Y51u0Msd22olAyKZkrNdpC5Zv6goUnSbcVGb+UwAV+pWKeV0H7sIk2rBGO9G3E05nX6/ZhX2fSst/SBkmQwTbZIZgoFkySZPEiD6aARUb8ehKDmPW1D0YmXiUIY64Ki7TlFMFJ9QFZoYaNsF3jU0cU4IczabgZyUGGaWhTqtEq6CqJVli+UOIdpUUJxn7HpbE6iCRCHEiBZz9y2TI25l9ec8Wr+ymBQrRlf3SXQMg2M5X1Te3IhDaEMDRWoJX8ha8LKDiwtyTvV9Gevkte5V4PubOE461e1uC22IchEvLR979DKP/KlP8dVXf5Vvv/w73Dp6kXUckPmIV4eUiEpAWODDDsOYOFmt6dcbNGeCNKAzvC7Z33mUkK/wxFOf5FPP/iyP7n+C6B7B69JKVwWRxOle2/OM7UGPf+Qhg6qq/BGWRarqXwH+CsDnP//5aZaH0OLdBf6JT/8in/30z9KlO7z6zrf40vN/j5ff+QJZ1+Q0oN5X+lKyvZfZ4920ib5s6RdqT7tl+JdcKG4igsqZJSxa/fkDY0qn088KilMZ1zSBcfBozjhx28nnJEinlG3Dfta27O1eJIRA3/f0fU8W053aFq6Md75SNeoe0DrAmDIpyw4ds6ahqCeGlvl8Dy+JbljhXKRt5gzjyo6lZnDTsKSNDX2X8M6xu7xASktUlaaZsbe7Xzl8gWJJKZtuxUl3SC4dRXuGcVXpJaXaPild39E2kTY2qJq6Izsj1RYKw9jThEiMc0LcpejI6niz5Q2aIcH325C3Zr5phGU7fhIVPAu87nCpvcTPfepp/sQn/3nevP67/Mpv/pekfJMQEiQIccGivcDRas2d2wd0qw2Nb2n9Hk3ZZbd5io88/tN8/Jmf5vErP0ZwplKABk/D5O0n8n4673k82PFHBbj3ptJTRK4B1+vX3wKePPO4D9WvfZ9hd2hhjkgkMsOHC3ziycd5/JFP85XvPMsXv/k/c3vzCpke8WZlBDbllGnx+PS/7cU+9cAs0xtT2X6toGjdIeol4IJZVRvhtlJHdNrTqba9KTr6MVVnD6nPW5CtiPtUo4oUchlp24au60hjgeBog9EWfIiMeaTrsu1MDZHgnWU9dTN7KZlx6HGuQapO1YjInuV8j5w33Dns61xF0AIlJTRm+vWG4Fs0ZcpYmLc7xDijiS27iwscHh4jxYi8q9WaWZyW8SxYb44QVRtkpB4FfLCbQ9d1JsZ35rqSU0ZcgiLE0Nr7tn2vS91hetrr48xk+XudE6nkuj/B1AkmxTodJKEtjbZEmfPRR+f8i3+25Ve/+Fe51b3AfE+JQeg2Kw5vHNGfFHaax9hfXOPJRz7Fh6/9BM889pPsNB8iyA5OG05L51Inpbm6F1sn8Dxze3jijwpwfwP4PwL/Qf3/Xz/z9X9HRP57bLhw+L37bxZTFrUNDTgcjohnzoVmyc98+l/jycc+xm9++a/y4ttfIMsGVcH5gvi6/k9tacnkRqG1Dqq5HD5Ecs6MY6pE/4mwC33fn/EUYwtW9jxKzsk2MAWppFym1hBehJTTVrVgJWshDR3eW4M/eEdcLGiaWc2GrNktWwuf0ya/c65ytAxUvDf/sWFYg9pylRgbBKGJi7rH00rd4D0ShLGMZoaJMGvnxGgl7nKxy+HhMSUfAAbom82GGCNRPHnT4VxDWEZOVoEhrdESSGmoOl6MN9Zt2NvZRaIjDVX+5jKkAe9bcwXJyUp/CUAi+Aazf+LMjeMPDyfRmv/aI1LqkDWQi/UHRetyHFqcXuWZSz/DTz57g1997l2G1R00jgzrNbHf4zM/9qd49smf4+rFT7I3e5zW7RCYNokJyGigOf1x1VfCM0w0m9MJ6nk86PH90ET+GjZQuCIibwL/PgZs/4OI/J+A14C/VB/+yxhF5EWMJvJvfv+Hsj2LLIzPUHtgAa+BGY/xzJWfZ/6zO/jfj3znzd8Bd4IwsqWz1iXH9pRW0Dhft81XvemkSEgpn25Gpw4HkNrcZwt29j7YU/rgTqVS20M9tS0/u7FJS2IcNkgs5KxGNG1mzGZLhiERvakNbIWD2pSyKCkVmhDA23OWXOjKCnAM0jMMA6HZITZz+r4HjUQ/Yyx1icykoaWQSsZnb86zTll3B2y6I0qBfnTMZwvms11Wqw1NmDOOieV8Yb1JBS2BBRfYdMesu2Ny6chlMGZiTvR9z6KdU1w1EsgjeCguowzEZheHR9XhZUbb7lTwcBMJ5HueF7bFq9SdEXZuSP28lITzoCQoDcKC4C5x7dKzLNwlVquOxc4FfuyZz/Hpp/8cj134JMFdwrEPJZjFvBT7eRKWtQUgQgW9e6vpc2h7eOL7maL+69/lW3/uPo9V4N/+oxzI2aUqlS+61Y2iilPFEXFymUd3fpKf//E1fTriraM/IIfEkDxo2toTba2JpJpSqlb2ft0MXzGwFK3fz+Q8UTqmsrZaE9VsI+dcs7xs1kNU4TvudFJb93WaDEtRl8wOvZJ0S7ELs4kNJUPWjA+mkRyTLVHxPpDLJKo/XU5sCi8zDig9NLGlbWe0Gll1Bwzj2kA1J1Alevv9+nGDufsqkz2TybQg6YI+H5KzshnMNWTe7KN4dpb79H2haSN7e5c4OrnJwcF1hqxoLRuHYSC6QBNbyljIY0GY9skmmhgIvuVYPN7bsORUpvV9nRn298dThoJI4OZ77/C7v/sFfuzTn+KZj34McU0dCAUoDhXPpf0r7C+uMB4Wfvazf4lPfOjPspArBJmjGraSM7OZB6HdZs9SAdhevc6cxaa59ycnn8eDGg+QkgGme6PI2RFbrQGry67giOzx1OXP8/OfO+HXv5K4vv4m2R1QqvWRcdGqjY2TrSzKjCqjLRbRU4nVlDwa1c0jOMaUbC1dSeAw6x2UnKs1ODbdE8wVuIwZ3LS2oC59oZBVjBibC1nVhPCaa8nYsvAz5tpShpGx77e9K0HxwVeaWbIStgKUSCEGYRxXOJQQolXkufYaVeqyaAclM+aRMY+A4kOltYRotBDdsFqvjPg8ZoKfkXNiNluy6TOqY9045bi8f5VFu+T6rbdYj7eqV14h5dGoIcGRRmsVWA+xp+REaGZ4n8AtaeO+/S3tDnbXRFLrzey0UzEtqElIyZA6XvzKH/Bf/2f/Cc/9wRd54uMf5z/8f/63zC48QqM2xZ26uK4ou3GPq09+lE9+6J+hcY/hNVa6jtTkbBLd2fHcXXnaK8vdX/z+xr7n8cDEAwNw7+vFnD3RlOr0obXJ7ol6hWeu/CnKT2T+9u//J6TxgCIgzls2VQcJaczkUmwps/OVhDt15DilzEHdHm+XlVZxpplTKmM2myZX/Rnb4M2i23vGXJ+/yFaMMeZkBU8te1XBqdL1PWMe2PQrmqal8TNmzYy2aWyd37g58/ubC62I2ZGnZHwt7xTJQkTJWWw5cXDQldp8L5QySb6mjWKlKhlkK9NynurIa4oKHzwhFAondP2G9UbwrkE3PVocly5eYd4sWbR7qEuUPEBJpHGgKxuWix1iExj7TC6JYVgxDB3eCTlv2Jk/wSxcqI165XThzOnfvu65MbpL5QhKGRm7A37rV/4Gf+eXfon3XnmJJ2YZPXqTzdE7tLsXUWfE4lL7DzkpQWY8fuVZWnfZBPVb2o+cScLOugu/76y8+zFy79fP40GPBwbg7o77gJ2asSNQBxABrxe4uvthdvxVuvF1VA4Zc2fUTbGlMSWP9XOjG5g8x8pPV62/J5nU6US0lnOc3cCkaCXqCqClbMHCeyG4SEoJcSZ+N5gslXun25IV52pGleiHnuB7+qbHR4+LDimuTg3r8tPkEF83QlUCblFhSP22Ma6i+KA4bzbrduhTZgRbKySBnA0kx9Eys1nbmGllSiA2lU7ZJF+lwDCa7nTWLjg4KjRxhjhlZ3GZcewY+47oEmm0CfFitoCyph82NK6l647svS9w+eJjRLfg7O4Ce5dP7zLuDIjknEmbNW88/xx//5d/iRe//mXeefF1jq7f5rHH91k0hZe//rv83LUnURfB2QQ0i7JOheIaLl963NQVVHB7Xwb2vXuA5/HwxgMKcPeJOhWVKn4vRWj9HovwGB+79nmG12+RxpcR15NRujxQ1Fw1piUoqpmt16TcnTWepXucBT0rU2zSGuoKQMVcRowXpXgftluc8lhQZ51wH6SSQ6UulTmd2JpFuRGQh3GgGqljS1tqPy/XvmA+daEVyXjJOPGmQpCemBrjimE23SKy7SBNhgNbckZ1IZ56iuv1akulAcjO4cRP0Ijg8T4yFBi6Dt2A9zNm4QKLdpeNOyannibMSMOAqjNLp/GIMW2IYU0Iu5SiLGYXaq+rDnVEK+n69O+gUBukdjN57vd+m7/6H/77lO4WOg7kzRrNpkhZhsjf+aX/N++9/g7PfPrTfOgjP8bla08hwdEPBXFzZs2FakH+/dJSzuODFA8PwG1NBTm9HopjNzzCn/rxf4VnPvQRfvfbv8KLb32FXO4QvTDQ44JlPE6NiU+1Fp96P5MLiF3kVdMplQZSCbM2dHDbma53Hl+pID5ExEdW6w0pnSogUEVTtRJyNixQxVb1bQcfEJ05jOSSzb5cIIQGkVLBvGBsi4I6M5gcsH0MxiWrcjAB24pqHD4jCouV3VMGqdnKbU2V51d1qpzukZiMNFHFuWDHIaM935TJqnXMYvC4+ZJSWsZhpC8buk1muViwuxNYHd+uAvsVYz/ShiUisRJ2rWy+N0GylsCU9dqmrs3BHda3rzN0A2mwnui6WzNs1uw0jpef+zVWt97gv/qP/2/8q//m/5mf/Wd+kW7T4/ycGHdPhf/nAPcjFw8NwMn2vwqSmVyCYMacp/jwpctc+BPPcu3K3+cL3/gb3B5egKA4yTiNpF7RbBeolZ1y5iK3fCdny1vObqBy0yKX4qrSwZxcQ3C0sxac53i1NpVCNv3o1k6pUkkmoCk5U2rjvNQKdEgZxjM0KzFVRAyBGALBW/M+p0zTRMZxQJ1ld6e+ayNpzHgfCCGYC0kFwJLKGdXAGWKLgmSliJId29J7GmF77whnzo7peG0bF9BsbJhROW6hbaFE0pgYR0fjPd419MOGk5M7pASUiLkh15vHfRYIOZkGTXb8n/6Jz9EsGiJLdneu8spLbzFrI6GNDOPA66++ymb1Mp88OETvrPhrf+U/5emPfRxpC9HNads9cBOoyjnG/YjFQwJwcvc/VUGqYysBdA+ve1wI+/wTH9tFfcfffe4tRk6qUiEBwbIxEXBn7+bWeyt14bLU7E2r9Xb0geDMEqhpGrMOd7aHtGSl22xYndhGKl9X+jkxPp6pI9w2o3MiRE9d/FJfq/L9tD5mu3miKMOQSFUi5cQzpoHZvKEfOpqmsQGGF1zwNI1UXSqA2TallMj5dCEy1c5pchBRZ6RZrQ4qUu2dpglMzmnbf7SyFiAjfuRkdYNu09LEJTEsEIXFfAeZe9arDcOwYW/3Mrdu36Yf1mw6k8KdTnS+C9zI9FWjZSx39vj5X/yX+dW/+V+ze3nJ0+UqJ0drrj66z8/+6Z/EO8eXfv+baNcRSk+/Oubd11/lwjM7LNslofblJnrMefxoxUMBcHLPZ3VPef336Yjf5R3m/jKPXnyGIAsckSFnSi44bHeAOrGKbpspTGL8XOkTvjL1rTwK1eiyCbHqK4NRVLOw6TYcHa/phqEemg0ypl62o/bNnAnQS6nfm4Bke5HbR9GJJBzMAWOSIuHwIdI0gdk8knImF2UYRlLO1THYMQ7Wf5sMOG1rFsQQzP5IJleUU55fqQaeNnysKo5ctmoK0K132qTNHVPC+5GkQinCMGSiX+B9JITAfDFD5pHUrdjb2+f2zZu4Mq9OKQWp/cJTiLsf4bdm0KHlz/1v/rd8+cu/zmze84mPfI7rb13niacf45133mSx3OWjzz7Li8+/yONPXuOtI2V1fId579jb2aul/Dm4/ajGQwFwljmcVRT4+rWJu2R7Np06nHrGjRLcAi0NXkxPqKVU59mtN0UFAdlqJL33+FCXlDhqY9o4ZWCgl4aRkgvrfmS16em7oU4xXe1XTQ65Spgsjpxtcs8pseVW3TPkMN82hzjPrDX3CocnhkjbLmjbGcPQcXxygHMNJ6sjnK+9Pay/psVq3ZSmPQzU15vK5mmZjYG2q1lNExuij7Yr1ZmEDKmKDjXhfynpdG9rzvWmkGibFu8caew5HIbatxOii3QnHd5nYvT067H60GWUhDItAjrr3nz2711DPI899Sy/8Of/Iu9+8x/w+KNXePTCJVb9muX8AkrkhZdeZ+fyFZq9Oa+/+DVuHt7EHxSuPfWU/d23E5Y/7CT7Ph5zHg9dPBQAd3fcazI4ybKwC1QWPPvYT/Fzn/mn+bWv/PecaIKYSUUJwRx7ddqlgJWsLphzra8i++CMVGuyrlOReDeYHXjfDfSD+cbhbOFy8K5ucJqWOkMTLLv0wSgkRdwW/EQm2oe5yjZhRghLmrBkPt9luVwSvKPr1my6Fev1kXHLxp51d8LkPAJm8yl1n+lUikqdRBpYFCvRhO0y5FwM9HJWNt3G7KRKLZtx22xtGrZY+W1fDzHS+AVtsyCGljxCca4utxBSKvRDT0lCN8JYHD0jL7/zDS7vfZzFbI+mmeHDgiAzPKFqVR0O+//WRw+BMOPDH/8J/rv/+P/Oc37AF6Vd7nDl8cdQp1y/dcLbt9bsXt5hNo986Q9+h59Y/kk++emfwbmGOrZm4jVun3cbWof0ZwnmZ0PuOtXe9+P3iUmZ876497T9vka7Z6fM93lOtrf687gnHgqAu5dNfvc5Yd18VUcWEN1l6T7MTz3zi7zxzrf51vXfY8MRdp5PqwDrTzmzCLfRqNTPPV6wKanHXDBU0Zzpx0wqmX4cmdblVUK8SbywdYSTFtV6bEY8TSmTKQSxySjqcRjxNoSGGHaYNRfxfsGi2aVxgX5YsV6vyKUDyfRjTzesKKSt79pUsJsszCOVojJdB9a097Vpfzo9noi2XthOjstk2FmlVkptVzphLAqjVkumQC8D0a3IWfEEvG+IvsURCaGxcn4eKYPjpD9iJPPcN3+N7zz/MlEis9mMZnaBWbPDznyXixeucOnCVfZ3r7KzuMjessqqxIN4Pvbpz/Hz/+y/wi//0l8lAv5wzWvvvswTTz7Kcvcq+MBqfcz+7oJudYBLnkVzGYcJ9aebwdQOuD9O6N2Puf/ZaCBzf5z5Ls95779Oz9xpavzdQ94HuPd7nvO4f8hdDh4/pPj85z+vX/ziF/+RnkPVmGQUh8hIkls89/r/xN/8vf+IY3kLaTakEZy6babi/d3WN1OG4kTNw1+EVCzDSqkwpEwuebsgOvhJXG/ZVHCeGIOBn1i558TxH/yLx/+I79B5nMdDGn8M+CIiz6nq5+/3vYcig/t+Q6hNfCKeyzzz6J/g4uxxxnTL9qR6wTRVus2wgFPbHmVbwgw5bZcxp1LIE3+OyhXTUz4bNWOLMVRbo7r7tJj06DzO4zx+OPGBAjhrqCcoARHYay/y8Q99ltsvfgv1M0JsKdJBydUa6dSccuuxX5Qi1kc6u8vBOY+KkPNovbttz83KQC/Olh+LuYFYFWOLkKf4d/96i/fgXARtaeM+u4uLNDFSykguA12/4mh1QC4jIdi6u5QTq83GBge+qiGYysUzvhcyDWKMVuKqaZ0TcxBWNcdd1GzVVfOZ8k1O+zhqC2xEJ/MCTxXpQqW+RNfQ+BlOopWlfoZ3jdF2ijL0I5tNz/rwNgdvJ/6Fn/u3+Wf+5L+FTw0iPYpHdVkpNQUVxRZF96w3dzg+uc3NW29z4+Zb3Lz+IreObzFQGJOw43f5zb/5G7z6tVeIydH4gHi4uN/y5BOPsLt/gY9/5k/wi//S/4757qP4OMf7gItmaCoxYH8IX6dJkzkpW+7id7svnZ33vq+bJ/c88D7xhz33d4vvp/X3/fXy/hjjATmeDw7AiU09QcEVINEw55NP/TTfefM3OChvkiQTom2AH9PAdOpM/CznhJyUfhyMPyfTZS9beVOoE1X73tR30+2mKhGl5LFaHpWtLAlgPp8jYkLw2XzJpQtXaeOM46M79MMGZWTUjlw6VCGEmQ0BNj2gpp3FhimTs6/thDD6hdZdB1JByYDN29q8EBjSSEn5Lima6iltxE/bxcQWT5c8DSkM1Iqap51zAacB7xoW8z0ckXGEbjNQ6oIctHB4dJ3NnVs8svwoP/bYs7iTDKlHpUexjfdQ0DIaD7EkSCNLZuzq41y78BjD7id5Y/dR3nz329w4eIv37rzDncP3ePYnHqfbHHHjxTs4DbQiaDeyvn3AXmx5/evf4K2PfoNHrm1QDTXTDvgYCW2DbyOL/X1cjLjYQGgM9BqPejnTiptG3vecb3r3P+Ve5NLTZdv3v9gns63t6Xvmq/cbKtgx3OtNp/c5tPM4jQ8OwG1PLs9kiePZ5/H9z/KRqz/FN969geoBSDRr8GLWSKrZli7jCOLJOprL7gRk3A2AImaUqVWQ7lzdvFXtkZx4XAxbzluMp29x42cgBUfGe2HTnXCyOiClrq4C7BhTT6HQtjPGlOl7c/twlc5VgGkp9dYgoO6WcNOD8AjeNlzFiIijaSK5HFP8ZOlElaG5Os21TVy2CTDY81GXRoPZIdXnAxj6AfGJQs9ms6bfjDg8ITR03YaTozuM6Yi9heOJ+SUu+pZ8cEAa7Phn7RJlZTtP04imAfKI5ITkbC2AXNB+wyUeY7m/x+P+w7wXXuP12y/wXn6HT3zyQ2zeOaEcGNePYWQ4WbOeHdLKjFuvv8zFYFPaXApFPYMIrnH4WSQtF7i2ISyWxNkS1zS45dIyvLpFTaYsr5KFxZ0OKAz/vhu8nNKBTk/PSlHaJozv5+fJmUezff67p7hTS2XLnjpHuO8aHxiAk/pfpQrF1QMLWnmcn/nUv8qt43d5e/NVcugpDNvdvd4HVLOVSVWAfnpvPZ28TSaYQC3h2Mq9JjJsCJ6mCWbTlFI9wcv2GB0BVbMZ6roV6/UaRQlBGNNIKYlcMqFpwDv6vmPMZnUuzm2zRsV6fNOpr0URtRLSu2CC99mu/RtLIMbBNn1JXVBdf3vba42rJN3GiBrizQg02CBmTCPeedq2xYkwph7VgX4Y6TYbNDtibHEI6/UtDg8PiD6wO79Mc+y4FB8nHSRGPUSLgHi6TY9qQlwg+say76yQoYymwNAyEgTKUQedY5muck0iOxfnXJtd5M3yJqunTnj+1quMXcE19r6vVkc4HO+89gKP718grzsaEZp2hm8CiYTOA3QtKThcOyfMl4RmTtzdx8cZzkfET1lmoODAefu8Umcm0vSkvriLgiI1t5dTENz+u/ZtzePvngyxKlq2//aBs9742+fQM4nhOch91/jAANxpZEo94USVwA5XFz/FL/7M/4UvvPg/8u13f42R9wjR9phONuUAOds6Qif1xJykXTWcc2h15HXBW8+tmmuibHeaDsNg/a1K+p0ihpb1pmccEyoJKtG4G2xSa09iAL3u1maJ5ARc2C7ImW7bsr0QLKtsZy3eBQRPzkITW5wLNE2Dc8J6vQIZSWkDTBZQtke1FLHHxhlSTBUxX7Q0TdgSelMeQZV+GOj7jpQGXF2lN2/meBc4OjpmvTqhnTUs2gUyNuiQafKC9Y0jctZqtzQ35+UwkkqgIyAqhBAIPpiHXy50mw5KYji6xdAXhBaXR3bLjDZdYbHjmf/EDq988026VV8n44U4QpPW3Lz5Nkd33kXWHavNhsVui289m7QmLhvCskHmLXG5g08LcA1ytEPT7tC0c2IzQ1xDykJK1pBwLiLRmxmp96fLhTjNrIxM3SISqsegqVmc95VXVJ1lThnfp89hT2T/EoeKORTLZGDqBAnB/u8m30JOQRHq857GjzL2fcAAzrIpqY1z01U2BHeFR3c+z5//8Ws8c+1TfPHb/x/evPVVaDLOBwoF1WQ7GtQBGSnFTkoELRkVRwwR1G9BDiZwq4AqvgLV5PJhC2CmmO8swStsoB87xtxDNiabectlYozknBiGvg4sDERtt6oJ51VtZ7xznjY0tHFGjDaMEBxNmPpuDSis1ytS7ki5t73s4mxBDM423mfFlUDQ1kpQB123outB6+LnnBNjGhnH0UpiIj60NKGFUjg+PqDvbJ3gYrYkehO4jy6zF+a0XSbISDYPYiuxXY93TeUbZk6Oe5xzxNDYzlbnGfoO54W9iy3rrmN95xCGATd6dtIOjzUjP//Zz/BrX/gK/WASsDjP+PUhb7/5Em9cvMSnP/Ix3r7zOoODUKAva9royGmkrIRFukDMu6hv8X6Pedknlx1S2UFkzpgi4+jJ2SMuEmJD04QKcIKmAniz0/IO9Q4kIi7iQ7Qbj/dbMDotO32dsk/rFLlLE+2cgRt48HUY4gVCQEJ9HecgeDTUQVI9J09rkDPwNpGZTy8Vzn7z/n55D3d8cABObARWB2GnUadiDfsEt+Czjy5YHbzHjZvfJjGSk/ntF81kFVSjkXMlb+1lnVSTSy04p4ibANRVVYRs9ZzOxSr/shPVMkSLdXdMroJ6cbbm0NyFJxvxQAievrft7yaytz4f4vAOgk6EZWhCsOXS4s0yXY3O4r3pWPOopJwM+HwmpaFWOh7UE8OMGGfEWcusnZlbsBcOV7fpx3UtsY3YnLVUOygB9SxnO7RxxtD1bFYnlJxo24YoDfNmSXQt3WaD18J8CITNQPFCmpea4QhaClk7igzgPEGEccxo7skpEYKn3d1hdTxwMm5oZg3zvQUnt0fUefJY2FHPTzz9Yb75rZd5784J4wCbVWYRlH5zzLee/zrLmWdx0VPimngxgAyEtmd1coOUR7pVSyN7hOUe0e+gsk9mHxl3gF1Ud1FZon6GEkm5QXJDSsVka0kJfs6A6ZibmSc2Ld7NQDOaA6V4RC2Lm/q7ZRxOrZwwUAtyd29Pqx5ZZGtNA8EZYHrZAhwx2EcTqhf/mc1gvF8BMYk2YHr9s+ajH5z44AAccNqJu+tToDbUzfnMJFjZkUdFgzl3aC0JCKDFZE/W57DGctGM04KSjd7PKbCVUrZT1qlkmQBvHMftMRwe3gHnyHmEaQkMbPefitgSl7OfmyrC1gYKZuGtRa3E8yYpS3kEhBgiEgKqgZI8pUjdgepJRZi1tt05JdtJEWNgZ7mwZrooh0e3UVG6/oRh7K23Lnlr8Z5LwbvArGmJ3rFeH5OGvipAItG1zOIuuztXiQTKwTsEN6cZlGF1BGHG0Hd4NxBiJDSB0LRkLeSUydjNpG0ack5sViuaJjKbLZHeMQxrmtmc5X7h6OYtJELJmdmu45Mfu8bBF58nq+BzQJNDg+NgfcALb77E5z7/cZqlZ3bZvPySjDiXkDHh20AOG1JJZFYM/R1C2iHGS3h3kTQe0cTLeLdDzgFxc/reMkDNitPIJveIBOaLOY3Mrc1WbBdHIeNdJIbGTp1kJbhlwqH264w0aVLCYrt6S7bqoEyTWkM/5/1dIOdCwPmABgM410SIEaKHEKGWsqWCpxmAnr1s6kxe7jWQf/jjAwZw3z0mSkRglwvzZ5jHJyg0DP2Asia7HnUjPgTIFX7U5JVmL5Rt54KUM/c7m7BORpfTcCEEGzSMY650FIuUk9kTaQExLt40iTVdaGboe4C7gNI5wdXN6kVOKSsl2z5YVGljw3KxoBRP3wsx7LBc7BNjYN3f5vBkjVMPFKJ3xLZhvlziPBwc3mIYB/qxx3nPOPY2eCl6ZkgiBB+ZzRZ4HJv1CTllvLOF2VICs7jLhZ1HWTYXWR0do72yLDO0G+hPjvGtDRCKJpIPSPDQNsTZDN80+Gg7a4dhQ/CWTZ6cHDOb79DOlxQppLHDtZHFpSUHN2+Ry5qjo5t87GOXePGllht3OjYrZd62pAhFR968/hYfOnmUp55YkOYbmr06kGmh9OCCoqGQ6Shtz5gLfTmmrA8J7pCd+TWSKOvuDo4WiTsUtZtlyqBjQGTBYnnR5GkUxjTgpSDizZFmclEecx1G2A3QTAwsE9ScLLOqAIcqUgplGE8rAsy2y0cre8VZeyMjSPC4JqJNA20DbYRZA7MWifZ+2wpG3R7DVJLK9OQfJHTjRwjgLAQp+3z6qV/k0tWrfOWlX+fF177KwclbeNdSwgal4FzCi2U51p+z9X4UywGnUNW6eb5sPddSSlvAmjSpp5FrpnhaunrnCM6TUzZwrH5tU5niq/DfXDHsseIDeRwRNxkImDrDjsGxM99j3l4iF5uSOhpCFbP76mLZtDPEwdHxAd24MeKvS4y5Z3L/naguzjmapmXWzAkuMHQDmgtNNBB26mjbXS4uH2N3fpU8evruGErLnF1kdCRVxmFECzbgQU9vHmNGNNFIwIVI0cyQi+23mM0YcmZ1tCJEWPUneFfQZiBcENK6x6UO59c8/WMXeO/33wb1DKMwZtiZBcQpr7/5Bo998qPMLzTofDDCbwi4HkKc4WPLMPaIz+RxRLMw5IFUEpJgHG4y9o5Zs0vfN0h25ASUGRf2nmBnuUeIwlg6SvFkDbTR0bYzvG9APLnAWf7blig+nZ1O0JQrBQhE1NQ3TrYW9mPX0x0dMj0ohEDTtkYuxzI1dYI0kdIEZN7iFjPYWeKWSwjB+nhiw4hpr8fZ1twHCeR+5ADOaaB1l3li+Se58tnP8LPPHnNw8jrffPVX+fabv8lJfx1tTtAwghPGkmxHaax33CzmUFEbw2dL0AncpuzL+8nkccrwrEc2Dd68D1tjynEctscIZoNkWlkbYkwctNP2tDW4xYltjw8zuq6jbZaAMqaB5fIioMjYsO48RT0heFLOHJ8cM6SRIQ3glEIma7ISuE7knHfM2xlNjIh40pgZihkWxLa1oQeONuwxjxeZxQsEtwQKTgIlRfb8ZXb8HsvmIklbtDbiRxWKi3XgYDsTUsEUIW0LYg336OakNCAqdP0J2jri3LPejKz7I8rOhsUiEFeRj80f504pPP+16/SaKSVQUmazGrj5zg2+8qWBz+1+hMVCGFwht44432W52Gez2RCayJgU1UCfBsJyASWxGa+T1ePbGcmdoNkmvUeHHVcuPk2YXyW7Du9mZHWEsGC2WOJda4twXATxePW4tlrMA5oyZUwo2TK0nCAXdMyQLMMv44ATrTc6aIKpSERr/1ah9B39mCgp1yYMhNjgZy0lOpL3yHyO29vF7y5hbwHzFg2BLAVf973KhKwfoPiRAjhrphYoLdE/QhBlMVeuzD7Kk5c+wY9/9E/ztZd+m5ff+wJH/Vsk6Zg1hUE6nGTL6BRQh5Ft87YknYCq1K021pub9n7W13dAnjhzRv1IY9pSU6bGuxli1uPVamHuI8HZn8uJQ4KYfXnNsrSenP3YM4wH7O82pLJmGHpio+CUfujoxsKYEyXbsMNWK45o9dQrpSDqaJqGxWJOUy3QUyq4SuXQDF5tkY6ThugWNH6ftrmAaCCNx2g/sMOc+Sow9iuGZomLNt11TvGxIfsZIgEVT3YOvNEiCkJoGppo2azXSMo9MhfoC4SB5WKHlQQOjldkOUJ2MppHrn1ywavvOsbbiW4INA5iFPqTgVvvHPP6i+/y7OVHSU5w7QJcJDtPFiE2kfXQk9VBjLjgEFWK9OALKgMuNDAIJRfCAjSsOVjdICDMWrh46TFmyyUSGpyfG7/QGf1Gc+33pmSAlhKMGUqxxeaTmqT1Nu4tmeyFnEbSOFJyJjhjajumlZaTNZeY9CwXypBIfU86OTY6U4hIPIHbx6SdOe7KPu7yPm5vF5pYKStUbt4f7zX5g44fKYAD6pjc1wFCJcimhkWY8cyli1y7+FPcOP6zfOeN3+Nbrz7He0cv0u5sSG5FZiSLmu9a1alO9t+nk1TdgpxO0rEaaUxWVsTI5MVW6hTWTz9fn2OaoE7WPF4cDn+6d6G6nDhn5pbDMNgqxSAU7Tje3KAfV0aPGhL9uKZLHVlTdRl2pHGsxOba36sa1PlswWKxwJLDhOZCwIM3xxQRRxkV7yLezXAsacNFSA1jHsm5x+WOy+OcnVsZPbnDyg+45iJxMSPMPbJY4BYXwDe4GM1aPAgEoThMduYCMTYUaYjM6MfAOm9Ypw1OMsuLe6xpuX3cgxvQnZH9Dzme+PiCl790xMG6w7uWi01DzsLRextee/5tnvrUFZJTXGyI7RwVR1IrTTOgXvDBo1Wd0jTCZjMivpDpKQLt7i7NfI4kZd2tafzIo49dYb7Yx4U5sdkhuDmiYudLBqcCOUMquGwDDhkr2OUCuZBKwaM2ZEDtJoLRlVLKrIYNMZjipFRvw8l5WsCkeDlv2QR5vSFn28Eb24Hx5IT+6IjmeEW4fBF3cR92FmgIRh/6INWn/IgBnMlkJt6ZZXPTdnpyxIV9WtnlQ7tXePQTn+OTT/0CX3rlb/H11/4eJ6nHhYTzim88uTjG0QYDebINn16nlnjGiTsN7wM+1swtpa0P21myKJxOXqdhgq9+bg7PrJ0TYiSlkX7orSz2xmcDR0oDWRND6lhzRAgNuWRTDQSBYsOOnG2ComrH6cQRm4blcocmGjk4DUbX8M6W4Jju1Th06j3ORbxfsGwvcXH/Efq1QsmkcY1Pa/zNnttfusHYN4xhxvLiEywvXSDtOJjvEHZH2r09nM4QyZTJmdm1trqwJMakhNmCIgEtI75ZQNmw6ROuFRYXLnA8vsfB4W0kJJr9yFMf3+fdV9ek7Mniyd4GQbKGo+srXnvhDa59bh+nRsItuZDyQC6dUXjE44PgnJLLaH6ZIVGkMOZs09JWUHEMfaJpWh6/9jSL5QWado8QWkQbyNbUdzikKHkYKf2AppHUdWi3gX4gZ8viNWVzfS51UZAqEoLZ1bctbWgIOOtlqlJSsRtQlTWoWB8vhoiWzNgPRpvznjT2JM12c+s68nrAnwzoasA9egm5sANNuyWPTxLq7fBh+8nDFT9SAGfhtrpA+1+G4CpZN1qClxe0bsEjO3N+/jOX2d+/wN//8n9OdgNZAKdEb7sZhulE5HSLvRMBcVjV5Zh6cDvLHcQZFYRJT1j7KP7M1LQ4m3RN9JMYApZyatWcRrw3WdaYEikVMiPO+Sr3GrCT1KadZnappJJRJ1venxbr77WxZT6b0TYNzcyIxuNg9ucxxLp0x+7u3lnJ6sTRyIImXOLipSdI2dENRyx9QYaRxdjQvHnCbANuhFYirluhJ56m3SW0wDCQj49xOVf+qjeeWerJLhPjHESMBuM9qsI4GBcvxAgu4Jlx8dI1cuo4OH4bF+Dq47s8+tQO14eeoYfNqFzYXeLTQN4UXvvWe3zoU9doQ8tstmTTr4xTJoXgbRgjlVSbc7IM1xf6foMWYdkuycXTdYWhh9nOkv39K8ybXSjRlnU7s4UnKzoOpK5Hh5Hc9ZRhYOw7ynoNQ29tBhupkvqBPKatakYREuDrRjfv/PYcM721M65dpfKUVCBlmhiZz+fkcWAcBjQIWUfcMBJxuNF2leRug/Qb4nAVd/ECzOeoOyuMkMqZO51CPExZ3o8UwE3kyTMy+ns4c+bmq84eFbjAjlvw5P677Db/HSs5oWCM9GkRdJzPtmTcooWcK2HSO7MxF4C1va46Ah4JavQUKdY8Pjs1rRrTlJKVGiLE6EmpVHtdI6k0TYP3nn6o+xg046RUJxWjHyStfcMCpThUxThnZcBjfcDFbJdZs2TRzgjeMaSeMW3wDlDLPqjLn72YpKpoJvjIIlxgZ/4E49qzSkeEOCBppBkcy5MF/tU7pA5C0xCcQzURm0AMC0qGtF5TxkIesvHJcqEMA9q2QIt4Ic4XNNEWa4d2TpovuX7rBn1ZE5cFYkvbXuTixYFu3DDmFXGuXHlywbtvHtOGfU5O1uzvzIihRVTp7gzcfG3gqUuP0sQdToaBMFvausWcKVnYDAPihJQTPsCYBoYx0cYFUhqOjnpIc9rmIru7V3HSkgZl5h1NaBE82g/kYSCtN+R1R9n0lME+8jjiUkJywQnVRVqYzxqK8+TRjFXFe/qxZ+w6eiDGhnY23xqxmo2XOckEcbQuGNd3NNmhSoZGrOdazIFmGHocPS4PUDpIG6TvCJseeeSylazemTStKnWAUzuuc4B7sOMeOvDdqXeVs2x3KwBaRvLYE1pQF8hO0JKAgrhAE1vbTVBGck6kPFS6yTSGt3BiW7vIlr2ViQd3pn+nqtse2/SRsrmbpDTS9RvSyQk550rwtQXKOee6BlApJHKleeSiteKRCnCZ4IX5bM68XeCkxRPxrq3lSL8dcjjn8RLx0tQFODNyygSvNM0c72YsfWS16YlecY3n+OiEfZaUN97B97CYL7l89TEee+Jpsm/ZZGXEjic0LWG5i4ZA287xcUbxEfENpXgYFO8LLio+NOCEC3tXSfS89t4tjo5WlHhIs0gsdpdc1Mu8894xziX2ry6JC0HXgAvcOTxh+cge+3sXGPKal//gbRYXLnHxsceYhQ00MKwbhnybrCNNGxmTLdLu+kQaHKK75LTgeDNQ+gbGwiOPXmHe7NOtMnuzQBNm6FDo12tS15M2HWm1Ia83MAx4LWhKkDM5mWtK1sJYMk5tl4aocQsZU+VOJhonjFkZup7u+AgfWxseBBP/Fy0kxIjZ2TSysY0UMdsvJ25rv+/EkUo2F5d1qf6IxghoSiY8cgW3O6f4yLTLwy6ThwfYpviRBLg/NARjlVMqwDlKaZFhnxCh0KP0FLFN75a5wZDSmcywUHREik1Ap5isi0wZUD3ZOKM7nOgZ9XknwOu6rsq4In2/qcOJbAqC4Ekpk3JhyLnqEKs3nNjULpXT0nnRRpZL04rmLGgSXGgQorkRD+taPptRZvAtXlqCa2jjgkS2VYwEgniWizldf4IvhTIqDXN2jgfWr55wod1jf3GBncUOm01PCYI2M3xo8LMFxIaiQtu0NlDJijgldyOuEdowwxWpnDAD3JIce4td9hc75BPlZH1MtzkkLwOxadjd3eXw9oo27jCfefqjgVk7J21WdOOGdlPoNj13bnUMfJ1rH30av7PA58KlxR63j0dCGGmalsOTY8ZuYBwLaMTLknGIaKfkjWfR7CFpgUszdncvsWz2kSSMq460WjGsVgwna8p6A32Pz9mGSaVAroCGMvQdaRjo+x4dR8Z+RJOSk20zUwouBApCkfqBY7aY42MktjNcjCRVBqx6aNpIow2L5QIHjGPCq6OkdKqh0YyOdizDMOLWHTpktO+JTzyGu7CL+mDLkpCpS/JQ9eLOAe67hhE1hDmXlh/n0x/+l3jt5nMcp1dR/67d2JytjUETSqKInDL/TX99F9F3cp8onWlvJveRra8bp+Dmz4j0beJaGe/aG1k2VM82Z//Omhn7fjvZnaLUKVvTNMQYaZqGJkY0Y9Kq5T57u5fpux4waZCrVj7BBWJo8bQ4GtIgeDcnVmmVd473Dm6wGhJNMyOMjkv9HL59g73DQDM6tE8c3Dyg3VWaHWesiLHQVgeRnNRcSea28AfnLXtRZ557CiJGgBbnaJwydCNLcfQCWpQujxysTyD25mQSEyfAhd0lN28OBDydOm4dHCNpIIwwX7bceOUWL33tNT73Zz7D7mzJsDoguDlDcZycjKyOerp+qIt1IjkXxs1IOm5Z+qs0zWPMwzWuXPgwu7MrlE2iOzmhX5+gJyvSyQlpvcGnRCwFPyZ8KUhOjH1Pvz4hOqEJnqVzHK+PuPXedbw6m5pnJY0JFYjzOUULY0pkEcZSGJqG2Lbs7F9EQkNBkeDIoqxXQhMbhs0Os9kM2TLkIBclq6Il4cW+48eEHwtalD4PjGVkJo/jLlxAXbyrb/0Q4ds5wN031NW2Q8YB+/Mn+fmf+Lf42OHP8o1X/javvPebDOWAJIkQlSIDEnQr4wKQepHeFUXBWVbnReru0lNqyTRNnTStk0oi50RKpjc1AnAAsXIjD1DUiKJG+tXtEM76dy3zeWP2Ps7hVHBZcNIS/IILe1co2Xo0pjAwOoqTQMkQmoAj0sYFrgLdOIz044ZV3zOQET9j5ht2jsB/4yb9V99jf2iJeLrjNYSGnGDoC2G5S1h6tBsoY8HN5ozpBLJxCuOOrVk0juFI7qHpaj8oONrQwGKXpI+Q5DYqx5AK63TEydGazapn1iyIjWe+M8cvlHGj+J0F49jhfKT10PcdrnV867mX+LEf/yR+PrJZH9GtN4yaOT5ZUzTQ6B59nyipYdxExnVkPz7DU1c/w4ef+gyPXvgIIS/obq/oj07I3Zq0OUE2HaEfKZs16WSFpITmxDgMpG5DHgZ86vEoSZQ4mxPXa/KNd1mdrGhCYz55LiAhkDZrYtPQNg1DzvQp0W82JO85ODhi79IVmnnLqBkJQpjNODo4ZHN0xO7uPm0zt95dTkj0NhBT41pqMusuX4wqpCibkhjJ7MYGt1igPta0Tx4qhDsHuHtDJ/6amGebjDiNzP2HePrSFR658AzP3v4pvv3qb/Hu7Zfo0x0G7pDziuLN060UcBJBrcyYopRiho7Vbkmc32ZbE9CB+dJNMjBzEgkYhSqTtVDKiKcutSmFUkwQn+tU1EuDiGM2n9G2DSFAKaPRFdTZ94nMmh28Mz0uCKWkWjabI7CouY5IpYYEHxENFC344kjOJsiz2HAhz/Av3+DgH7zA/o3MUBzoSMoZ3ICPCcxXFCmKpITEBh0T0jQUzYybNSmN+LEj+0BYzPFjiysOmXtkFtDWEdolFy89iV963MGc8dYrLNMNygjHqxuMJxkdI1cfu8aNd95AY8P6YE3QwFjAx0K7XPLMR59haDxf+Ht/wE/+3EcYVNHkWZ1skDyndXOGDYSNEHSPy+1Vnnzmx3j60R9nd/4oLjeMdxInx7cZj1ZovyFvTiibE3ydmErXk+7cQVDG9ZqDmzfQYSCPPdKvjSpSCk0TzB0mF3xOjOsVBycrurGgvjEHkuCJ7QzftsS2JTYNWSGpcOvoiNl8xoXLF9EgSNexGwKHt2+TVxuWO3uEy1dQMK6iQPSBnAvRGUmdbBy8fJRwJaHek5e7+CeegEbAx4cK3OAc4O4fVhfVlN6IsE4bHA077qN87MoVnrr0OQ5OXuXNW9/k1Ztf4q3b3yBzTNINkKuldLlr6QxAyWXrFoI3WyUtNiSYpqhT720yUBRX3V8daMlniMRTn8Y20TvnaWcLlvM95u2yupNs0DIiFIKLxLiwvppraeIOabRjmqyREHMMceJRnDXCHSTNiGaCeGJs8KJs+pG5tOx2AffKde78vedxrx4x9hHvQIOjjZUpPw6MR8fkfiB0Hc3uDnGxQzOHzeqEfOSQWQNpQPsFbtZCGonLHSQF8rrg5wmNHjf3+LlyaXaFi1eXXJs9wtGd13knvcSbdwpHx4cEP2fud9iRwO3jYxqB+azleN2jF+YM6jnujLpz49Vb/H7+Ds/++JPs7uyxun0dKTNm4SJXlhd55ENPcnH3Cfbaq/gyJ6+E/vaG0h/DkMmrDf3t28gwIP2adHLC2Pc2Rd1scONAGQdk7PnQckEOjpOjnm4YkKKsTk7QJuLnLTllWhdpYyDMZ7i8IeURLUIabMp7dOsWIQZ29y+ws7eHxJZ1t6E/PuStd97kscevoSGwuHiJec7WCxTHe/2anQsXaXd2GYeBwZtfYa4a6DGP+CHT0sLhCuc8eX6D0s6RR66w9c1/iOQO5wB3b0iVc5nyD7RqB4t5xIl6GrlEI/ssdp/g6t6zPH7tI/z9LyZurL+DSAY25hkHRqitMQFT9b6xbVwxoqVsZV6T9GvqyZVS0GJWRfUAAd0ShVEhhMhs1tK2c5xrmTc7LGa7eOc4GBJDGolNpAkzmrAkhtb8ywYYxw4oqFSDgWzDEu+8Mf1jQ6BuCcuFoQzGTRt7ZFSWCnznXW786ov4F1dccheRAF484mEYRzzQNi2NF3tv84Abe2TwbGp5FJsWlxwcH9OfrPCzlmaxRDcD63hMbFoGccQYmc1bNsOKzeaQ9eaIUjoIG8LNDc31hDvcMOpA0TUfbi+wN7dJoG9sJ0PY3aXdWdIu97i0e5mrV69xTMe4eZwLy4t8+JHPcnH3Gnvzy8z8EskBNkq6Weg2G8pJx9HN2/TrExqBMI64TU9Zb5AhoeuOtD5BcmJ15w7adTD2NBS6knAlk8bBsleBKI7UDayGkaZpkCYiCHs7O0QXOD5Z040DDLbRLYwjOo50uZBOjgnzBbOdHVot3L59mxffehNpW5oLl7jy9NOEnT3II0074/aN91gOI+1yxwxeS0G8Y0yJto3m1Nz1zKMw3jkhzw7YzFtm8xnuknnNaT2Ht8T2acr6ABKCzwHufiHm1aU6EVwx6/HtX9CjY8SJ+aJdajoutB/l1p0bOD/gZEBJ1eHh9C0WMV6VopXgW3tizuMaR8m5strT3QCHTV6lKjAEKy+c88QQmbUtTZwj0oA62jCz/g1KcJ6x+j4Fb3037xqQwFQzaiWKUtcDqmptFwpSlJIHyBkNQikCSQibwu4Q0ddv8t6vfpvmxQ2X5DJ7swXrYWMbwEoGzWYUEMw2CIF+s6LfrPFti28WiLGWGUshA1kcuxcu0ly4wOboANldgHe04jm8eZtX3n6H1cEdTk4OuHXnBs18xvLKDj6C61fsZEHbCLM5fhhZ7j7K3sULPPrxj3Llwx/m0Wc+QlgsQZUoGR89Omso4ggScdlD8gxHA5vVGoYN2g34rJTNQHf7kNj16OaEvD4hb9bElNFVB0PCpYJu1qxOjshDj8uZ/uSEOG8RNZAUDBikCXgXaGJDSkbWDjGyXm/YdB2iws5ixlLmHB+f0A8jThMiHh0G0mi9uKE7YWc+Z3/e0pJZD4njd97i6M4tdq9c5dLj15BLV9hZ7jCuTkgp0yx3zEZJhaSZdd8x854+DZAyrszIR4fozUCOnp0YkZ0dcyQxAXS1DpvOzHuUDw9AnAPc+0IQgvVS35eK20YptCZ2qghzZvIYn3ziF3A5cHP1LY6G11E9McshycAtoDplNBEZ89aOqFSSLyJVc+oplDMyL/MS8xK2Av0QPE1sAHPudeKJMiP6Zd2SJeS+JxdrbHvBpmUSECIpKc4lQsBUA2U0l5E+47XFS0GzUspAPxaiNMzCgv7kEE+D3CnotztuvnCD+OaK3ZvKBd2nJdAdHNktoRh4LhZz2rbFi7NhSW/DBHGOsukY0h3b3OUgacG3Da5pSGnNZnXAYm+fvJqzPtnw7o0bbK5fJx8eQR5ZRMdip8HvzJE44+KFixwfHXHj4A47jzzGxWeeRnb2We5dYrmzx+KRx5DlAsVD73DRoyWT+ky5Y+aVOQ+kfiR1A2m1Jm9WsNkwHp/QAIyJ4fCEtO4YTo6h35BXJ7hxIK821sPqzDm5aaL1GoHWQXd8gqPQhGhcRzJ93xGiUXSaZoGq0UbaNiJE+nVffQM988Wc2XLOnTuHlJxrv7gQnJBWxxysjrc26nuLOfPsWG3WpLde5eatm+T5LjuPPcalD3+Y9WpjZjAhsNhZELwjjcqm63AoySV8NxAOEr5kXMqskzL/8DPI5YtInqSPvF/WJQ8Owp0D3H3jfjn2WWKwIs6yEwg4vcBHr/1pPnTts5z073F79Trv3nqJ19/7A06Gt4DX7cfGiMpA41t8ExmGkZR6Y4iLx7kGXz3/c7a+mp34HrFNrcb4F4d39S6aBYonSEsTIzEGNt2GlMYKoqf+dCltKsjBuDHRfUAJzoTgpk+NlthpQUmMLtFJYbMuLDcz/OGIvnDC7b/9MrsnnkfCHrNOiMXRLiK9jBRRfHAs2oXx98S0t5tNhxajwgRxNtwoxunDCc3MpoSXH32EIsK667j99hrwzJsWv1mzEMjR42eBsGiYXbnA7rVHycslJycrigSeeOajPP5jzxIvX6LMFiS1qfDhO9fxTYNET7NYVOVJxinkfiQPI3kwLajPmbzeMB4foesNuulYbzboOEI30p+s6dcn5G6DLwmX68+PI42vl5U3bS4IwQvqzKR0TAnvbUtZ00TGcST1A75t6xLwwtibs3MIkZwyXdcTYgAVGwoUM2rQYqsdxSneB4auqwaahcVigbQtwzhwtDomjZnD9YrbJ8dcuPYE0QWkbTgaBxZ7u9UEwtF36ypP86TVhlIRbCwFWjNWJUZwjlK3yk2bvh4kcINzgPsjh9kamfzJSUCZ0coOYfYou+0nePpy4jMffoPbhy8BfwmAPfkw6/Emmjuih+gLSQaUDGJmlMEHQhMQh3m05dEUEepMsUBBS6rlnqCilNKjWUEaVusNXddViknaTmNFlCENjBxCEcY+2YpA1yBFmLVz2jinYY4OMIwbOv3/s/cnMbKtW34f9ltfs/eOyMjT3Kbeq5ZFiQQFGLZIoWzZoAeCBAO2JvLANjwxJIMAJ/bAgAcWPBPggTyxoIFhmAAHlGCAItxAsmHIcEMbNkQ1JimLLLZVZKlee5tzT5OZEXt/zVoerG9H5n18FKuKde+7j+98F3lPnjiRGTt27L2+1fybgZeqwrRlls8j2//3B9S/9Bm/8OqGZyzMD7CQnWN7XmnSIQrz5NxWQdjOF7Z1wwzmefHe5Fa8Ea9GypnlcOB0e4tMidA667ZRt8LDuwemDg3HbQVT8hxJORIPkzt8ff6KucFpOZJeBGxKvPnhZyzNsOkeJVFLRVRJKZGXhfn2Fi2VshammMhEQvHeYNtW2uVCub9nezfUN8xIwPZwj22Vum3kEDgIiHamPHFfNg6HAVo2HawEY5qyB6F58munKxaMbVuZJtf5620Q7mOk1eqbUCkUraQQWebZqXnbxulwZF1XNt1opqNt7N65S56otSJqvPrsc26f3bJMC6WvXHqhr2feto3Xn33Gx7/4K/yRf/KP8ukXrzivD3zw8cdMIRMkOlE/G8EglEp5+5YpBur3P6HfviD+ws9hWVxmfpSr8M1DkrwPcL+nJSA+Yt9Bus7BH/gycUHMeZp4+dEvX3/qn/+n/xU+f/t3+fT13+LV/d/lYf2ES/2cxgOEjgQlhIL1QiAjFpE+e3DDqWGqPgjYKKQ4eh9BKc3o90MjzDxjKH2XXRIY5tbaAmaQ0uL6ZD0yxYkUD65bNkGPyhaVWCKHFjneJ/JvXnj3//6b6N++50U9citHEsFdpIL/OcVAQlkOC6ebG+q68XD/MNy+hGWaWfJE2Ta2rTLHTJoiaZ6Y5olWN+r6QN02Wuus5xVbN7Q0D9YR0uyMhXlOlFpom1FKZX39wLIceVjPVGB5/pybBm/PK4oT12+eH+k45qy/nimXjcvdmbW7MscUI3MUyt1bznd3LgZQKqG4lHtKidCaD5vmyHa5OCFeFbOZQ0pICNTeWQ4zgtDEvNwUoauyroUQI8fjkbptYD5RjymxHA5fElA1c/8FEQf+0pXjvLCtGxojFgPaKr0pBCitM80TOSZaqUQRznf35HliSomtbNzESGmV2pTPfvM30FL4I7/2T/HOlMvDA4ysO8+zCzVMszu0CfS3b2kxUm5OHJ4t2PScLsNXYjTgHrty34z1PsD9HpdThxy+AQNY66pdQMNEEUvAcv2Zbx3/i3x8/M/zj//8W0r/grfnH/DD13+dT17/Db54+13W+jm9vQMpaFRMIpHdE9VJ7jEImJenXf0Y1HQMNAAcatK7eTk4tO8AkkbE3LJPXVsHbJDDVbicL17WouSSeHY+sfxA2f7yZ7z7S99jeaU86885yEQIRs6DqtY6McA0zcwpM08z5VJ4uLujd8cBet8ws54vmHnwFxHvJWlnO5/pqKvqns+0pky4PFNvhZigByFPkdtnJ3qtUBuHmIaBRmW9/9RLv8PCUZW3f/s3KbXysK4ObP3Fj+hihNMtrcPd67ec3z3QSyeYkGPkkBNBO1mVVgrSHO2vYuRnz9DkFoemynxMiOLMEDV6c6Og2AOoMS0TIQqtd0IMhJhIk7lUeE7QG706K2Q53jgzxpwkGELgmDLHw5G3r98MIVIDCaQQSCKEZSGEwLquzjGNPhSap5lNHSzetbOtG3Hq3MwTRZXJhPt1JYTMZ7/1d0hz5uf/yB+i3CuRSOuVy/mBmyXz7v6OF0EQfMrO3R3lh5+QPn5GOh28Z/oY3b45qdtY7wPc73H5/MH7DyCPPQgf5CPagTyCnK9AQrhh5sAUv8XN7R/h527/Kdovv+W8fc4Xd3+HT17/Tb77w19nba/QcI/aSmsXJLuzFgZ9UJwkRGo1ZDjRoxvazKEdKYP61NPow7gGRIdpjgLBWJaFEINrorWG1M5NTTx/E2n/yRe8/YufYt+vPC8njha5iZHYG4sYYkpXBx9nCYTeURO2DvfnB8yM0+k08HptaM89gphzTmytUssKQZiPC107rTTmNNObUmslpOjc1MPMBx9/iNVGWztzSGhTmjY0KGEKEOF4Wnh2e+SLzz8n1JWw3fPs2S1L7EyHhWdLYnv3QG8bxxzoqty/uwOEuCzuiAVElKLdkZBiSHLc3GW7UGthzhPtUggh00rlcHN0POMAXxOE43Lisq5M84ICh2WBEFjXDUkTMSZMjaLeCwx5ci/VGFnXC1vrbjWpjYRgotRaEIE5u/lM7Q0t1cvw4cJGCKQgRCJaigPOQ+N4WDivG7MoD5d7Up757b/x60g0jh9/myCJtEzE5GyerVbevn3DNE8cMPfkePUK+e6J2w9ekD/4ACJfXt+gNtz7APd7Xo9b1a6VJYJnVwMjtCvNPD6zA0ok4KLTicAHZHnBYfllPlj+c/zBj/4Z7v/A9/ni7jd5ff8bfP727/LFu++wlnd0bQQc2tD6RqcTxiSU4GT1MEC6UVxcc1cdsa40B7MBjzZ/U8mEGogtMJVAelOJv/XA53/1E8LfWTnezRzkFpHI6ThD28hiTN39V8mJjYL0Tq8XNGTWrlgQlnke8ujKPA0fi/GfmjrBOwoSAzFH5mXm7u4dKTqkZL17gNYhCXGaON2emKeJ+8vqZy9GJGW0FloSwmHm9sOXnF68ZDtv9AhVCwQlTsLheOBwc2CSxLuHB/r5QujGLIGLeuPfpJGWhRSi4/5qQVTJeeJ8f8YQ5uPkm4FElEBHqAbzlDkdnmEY54czrTXW1ojTTD4caGp0c07ynCbKujqnNyesNZop0zS7C1eMBITL+YykRC/FPVi7mxulnDAx5sPMjZ64v78fsvWwbhtxGpntoAR2VbbLSj4cmGfPnlutaFlJPfJbf/Wv8o//F/zaOX34knxYaMWl0rfWaKVQa/XjEuH+e98nv3zBYblBbhIW4o9c69+M9T7A/Z6Xq1zsDli2O+mOT9gMH6F/qR/x6Do5rH+HooQLPcJM4IaX84c8m/8x/sBHf5za37G1L7hfP+Pd3SvePnzCq/vv8vbhB7y5/IBW3oF50zrFmSnPxJjBAjFEYppI0SdxLs8DExMHO7BsE+Et9M8r2w/f8vo7n7F95x2nL4R5FRZdWHQiY0xTwKwScyDlhSSZS9s8c82Zel6x0phmNzeej4frjaqDHFtLQ2JADPKwVszZS0pJ3qOKKfHxyw958/kbl+FWI00T8+FATNknseZQ7IYxL5kQYT5E5hfPmF88Jx5v2B5WQs6EmElJQQLLzQmJiVo629qGpZ8QDKY0YWJMt0fm2xOZgDRjXbdRRho5RaQoW3fZ8ClOMDud7nBzcuf6eaJrRebMlCfWdfOJrUTSnEkxkFL2SWpyXm8MkQkvfWMIxOTE+OOziT7N9PXCdn+P1eag4OJMm9I2tHiQW9fVs+muhBypwwAp5jS2X89UL5eVNCcQ43iYafcXStmgNn7r13+dj//gxjwltBXmw9F7ppcLEgJbO/MmvOL244Dc3XP/3R8wffARcV5gitf74puUwr0PcL/ntSuc7qojNh6zQbgcjIgvbWkJsR0QaU+mTcPRKMiwJXRamNkLcvgFbibjg9zhttDDA2f9lPvtt/nN7/wF/spf/38h0wOtX3xY0BJU8Zc2IxIc2GtGXAPhDZTXF86ffsbrHz6wfv8Be1VJd8ZcEy9a5oaFhJCGfl2IxrPnR3KMXMrKNB24XCqV5EG+ubBmGPCFPLlEuCm06hd8CJGYHMys5uj5eUoIyjxnFNjKmWWaeff2HWDXAHj74jnTcaFqw9SNVwrVYQxiMEVOL14QjkcHDueFuNzwLB4Qi7Sy8sG3PiROB0Bo/YKERJoCyYRoQpibsx1ubphf3HLMC/VhJbx+i9AJ1XnE5VKIcyBFL4/nyT0lJEVkSqTDzJQC09a43F8gCH3ystMkggiHDz5E7h9QNY55ogylmLwryhj0UrFaOD5fKClRt4p2JYZIwdsDISW2UoDGsxfPefv2Da02anOg+FYL0v19pZR9Kt+6m/+kRIiQ1kIsjUhj/eI1361/A9PKL/3hP0yc3XSojT7z5eHBbRRj4iSZ9ZPPuPzwU24+eOGA4XEvXIFx34D1PsD9vq7xAUt4FM78e56yB8NHdKRngENcc+R2wo9Q/jRCn4jxhjk+Yz58yL3d8xf/1r9PODTyLCRxY2Wr6u5TFera0NIpl4K+atj3KvX1mWkLzD1zKBCYieaeq7HhfFQJLFNinjJximgKrKrEPLtHZytMCFEFCTMXa3SGwuyADeQpExHqVhxKMU9sayMvE3EOEGCZJn/f3ZijE/9bdSxanhMxRQ7Pb6jaffvoDtHJKTMfD5xbYT4dyMdb5hcvCTc3PNRGfvEBySCokXthevGSNC8E4OG8kU83TBboayFOE1MKEIR8OlER5HCgrgXmmSidZQ5ITJRWsegG3Gme6EDRirXO6fZIOh4gRZZTZvoocux96PRBb53tYeXV23ccpoX5wxfE2xPRzJsXY7DRLyuhVuZSoVVCV0I+Y5uLkc6HiaadGOPQCNwwa3z44UsuD2fevnkLISKCn7eBp0ytI7iZdFPz56SIikFT5hi43L3l+3/7b7FeLvyRP/rHePbhh9zbO4IEtFbuLxeCJKbpSMqZ9ZMfMn/0nLxkmCbApeW/KSHuHxjgROSXgX8D+BZ+2/4pM/vXReQD4N8CfhX4LeC/Y2avxcP4vw7887hW979kZn/pqzn8n+SSJ/8f38mP/vOXP+bHgPX3fvzy9/kXw6jW0KjkkBwvx0IoJ/7K/+Vv8uf/13+BKVd+/tnERykjXZEOlI5UgWYEFZIETHzSdmMzU49QQLuDRcHcaGXgmVKOHOaZnCOKsa0rp9OtB6zzCmpIcGPqshUM15yLKbksU3aT7F1EoPVOfXgg5Mh8c+Dm9sRxObDdvaOUOmTV8bJxjo4J6815mVMiS0I33wjci3WCvbw83CB5Jh6OFAkwL5xenKjnC4cPFLFGOB1oUUCVPs8sH39MUqOXxunmxEE7W9lQaz7o6BDSzHJ6hp43FxmYZ/JQfay1cCmdaZlZ5gWNgapCsMAyHV0iioAFwVrj+ccfozHRzhfW+7Pn/Icj4faWm0F/su5qv9ubN2xv3tLOZ9rdHT0l4mGhXh5QUW5uT2zVjWecfdGuto/HmyPny5la3Agp4OV8752UMyZuE9kxiK4leFgW7u/PxACxueDlp9/9Li8/dGrX85sTD3f3nA43fO8H32c63vDu9RcsIsjnn8MPnvHygxfEFy/c+vEbE95+ZxlcA/7HZvaXROQW+Isi8n8F/iXg/25m/6qI/MvAvwz8T4D/BvCHx9c/Dfyvxp/v1z/EUowmPpqIJrz93mv+o//jv8fp1cSLaeLn7MgpeP7Xa8dKd0VhAtHEcVTRsNSRLkM2KbFpcfFNggdCxPFgefImvkEKgZvTLSCs5xVqw6x7eTRNzMvElBMpJ1SNrm56EnD7u7jMtMuFEDOH0w2nF8+ZlpnWOiG6MXbtnZwnLHj/iBxJy8xydP+BPE+uRJInUgrE6BPY6XRLPt4Sbp7BckMD8nLk+PID1ocH4s0NYp0QzSEiCMvNidANq42ZwHw6YSi5VPrdA+VyxmLGJiE9M3rYgADz5N62akzqUuMyz8TjkfmwUEyxw4ItN2iaMAnEeeLFt36OkP1cxhgob996TzQlON2y4d4TIUZC7xxuT8TbWx5evUIDJHMZoykJ/f6O0t1+csreW50s07SybitTclHTVle09VGeRrQPBekQfboaA0jgshbmnCmDUZEHVWwrhd/+jd/k29/+RW5fPOf56Zaybrx88ZK3b98QU4KUCV+8Jn7+BeWzLzicnnlA/+bEt39wgDOzHwA/GN/fichfB34R+BeAf2Y87c8A/088wP0LwL9hLm7274vICxH5+fF73q/f7TLIlkjm/RsRxcrGX/7z/zc++dt/k2fAc4nMm2K9Qor0rTqyPbhBdVeneU0SiXWiV++ZdTq1GzEItXWyBVL2DEy70krl5nhgOky0zSEIMqhB3TrT5Nzcsm1Mk/f51LyULFtBcNzeul4wMU7PTxxONxxuDjTr3J3vCBf3XY0hkqcZutKDMB8W8pRJUyKN1zk+e4b76rhAZ8gTxw9ekE4n2ukZerx1utftc+R4JM8LbBdEzH1O64qAZ25r8TJ4mmGeHFC7boS4cDg9J+aM3t0T5zN9OqMGLWdUIAcfAoQQCPPkMuG3t97Qz4ktZSqRdLjh8OxETZF0XOgiaBCeffgxJuJshN5JeaYEb9LPMRGWI9NyQJeFPE1oztzXSmgVqZW2PRAlEqeMISzhwNbcwzalxIsXL5injVevv0D34dLwZIgiCNHZFiKknFxBZJQXx3nCaufSGq8+/SFffP4pIUVuTickRZbjkTfnO7bzmZgT66tXHD54yfbZK5af+zlIGZ7I9P+k1++qBycivwr8MeA/AL71JGj9EC9hwYPfd5782HfHY+8D3O9hCeImNU2wZCCV+0+/y7/75/5NUn3HEgrHNJNaJ9YAFaQHF9XMLm8TR6mCugkx3b1Q3QIxoWZEsUHkd4tC7Z04TcQQaKWyVUfgW1Mn78foqHs1jsuBaZrYts2ng9l/R4yjjI+BZZ44nm6cg1sLpVWCiNOKEKZlRgUayrQsHJ95wJAkrGUjhMTt7TMCwt3bB4p2pttbOD2n3xzh2QvsdGJ6dks8nZB5Is4H+nqg90pDsZxdVDJn1ocz1pUaAjJNmAgXFcIJppiQeUYON8RnG4faiThX1sR7iq12eoCbDz6gx4hME+nmSDwcXJGFiIRMmJxIr0HIKRGmdKX53Tx/CQKtdhhWkZhhpUFKBDWkFqQV5m2jm9IuZ6xGQgx0gzxPpLSQa6KUymVdOSxHcnZ6V20PDkVJk/cNo09QxYSufRhKV1e5EaNZQ1GwjrbCu7evISeKdZabG0iBFy9f8vknnzIvM9vbt5w/+4zp5UsO3/4W8+kGifknd8P8yPodBzgROQH/O+B/ZGbvniptmJmJ/O5YtiLyJ4E/CfArv/Irv5sf/ZlbJmBplJet8Nf+wr/HF7/xd7jtwtEieXO31+tFG8ShIq5KjYp6xjaYDTZkzVW8NxPjsNgR6NpJOZEG/WrbNs+isoNZratnQ3hTfJlcK6y17mj65N4Je9bU1KEP82FGBLcmrBXr3UUWA2DuCuV4s8xyc2Q6zHSMc3Ez5uNhJt0cKFuDw4HjiyPp2XPkdCC/eEH68CPCzQ0cFyxnVAKNgF5Nfjp5UKIkJp+oqnnzX1y3Tk8RmW7YzKg5YYcDM4I0JagynW5ctmmraO80M8LxQJhn8ukEhwMMPFggQjMIAXH9kkF/GaBwEZ+0x+ByUbhslqi5kWxOTCFAL6zrmWWIkj7UjW29Z2vON80xcdkaqpUUEz3B+Xwm58xhWdiKizl0U7oFd+nCmA8Lk0QupTgbZgip9jZI/NZRFV6/+ozp5kj9QjkU78OKBFLOfPHqcz5KkfXzz9lefsDD975H/uAF4cXzn9zN8iPrdxTgRCTjwe1/Y2b/+/HwJ3vpKSI/D3w6Hv8e8MtPfvyXxmNfWmb2p4A/BfBrv/Zr3xzgzDdxRVCUKoX29hX/7p/9c8QvHri1xEEP5ApmzUn7EYSEBHP5IYyuLq5Zu8s0iYI1I+UwJMqFlJzW01VccHOwD6o2SiuEFJmnmTy7YkWMgeXmyDLPO8KZlN0zVkRIOdK1EifnWB5ON/TeuTycadWFHWtxUrmihBiIU3LsWgqcLxckwVY25tPJy9Np4nKpyPFIun1Bev6c+MELpm99jE0HuDkihwWJEW0NQwg5e7DOzhONybPaaTffHkorM3jA27x5TxzGy5tTwqIZTK6gIXkjqhJzpqdION3A4QjT5OChwTihuSKMT0+4Zmi74CnRZcij+GvBeG4XUCFMifnlS1JvdMSzuQ8+4PzuNfX8wAfPb/18bkqtjRQSRNh6AYzD8YDJLXcPd7w7F7qDBxGMBcdwMjaVGLyEtaFAHUVIGN//zm8T5szb84Vv/dIv8e1v/yLTvPDhxx/xwx98n/t3b0mHAw+ffoKdjqTnz3i2LH/vNfwTWr+TKaoAfxr462b2v3jyT/8O8C8C/+r4899+8vj/UET+LD5cePu+//YPudSBnYnAd37zP+X7v/63eN6EWYev5phbqQkxJTREWjeaeUnqfqwz2jcanSTBJ2YhkByjgXRv5C+HhWmasFowHD9lAbefE/ESNUaWQx4Bwon83dxxfpomWu+03gjRoRQxJ2qtlG3zDC1PaOvoVryPNziTQTu9gzUcFJszzTrzsjiy3oR0OBDyQrw9kT54SfrgJbrM2LwQb45YGsbc4hNW70U6E4KUYcoujND7yOBc9j3E4WafGmFwT4MBc3FIY+to2ailEJs63MIEkwBD3l27Occ0xMfszAxt5gbgQ0y0qwuMppSQCARBG45VjAGSO4pZEkgRmRfyzQ397TtX78gzEi+srUIU92sw38C0+vS01cIm7sWRUmCaMmXV4RcCZatIFMIoned5Qg1qczvDRXyT21rjs+98j49/6Rf54W//Ns9Oz932MQc++OhDJ+T3Qnu4p717x933f8DNL/zCNwZ/9js5jj8O/PeAvyIi//F47H+KB7Y/JyJ/AvhP2TWB4P+MQ0R+A4eJ/Pd/Pw/4Z3KZENS5rr/5l/4K8f7CESPQXHMses+nd0FDuKL8TSJ69ZYQNnPHVKyxzItDQrRze7ohinI6zJ5JDBEBE1zCKUdUO6U0UnBOrOGBY5pmWm1I8OFCSNkhKSgWnJlggtN8sssG1ealbkqJNM+sl9W16ULg/uEBtsBtfI5MySW8Q6TUTpwWnn3wAuYD8flL7HSi54SFgOSMjWN2DFggSbrK+JAizPNQowVCpzdXOZGUR1IlWPdJo+mjqjJdERVCVFIEwTeW/WdlkDFdJkmQIUSJOHhbkktbqSodp56p+VTXUYO7j+3I6lTo1aDbtX8XYiQeFtLhwHRcyOEZ9eGMte6CBNUDs6l6zzVlQhRiSESUSQOsq6tFRzcRD+ZKygLcHG9IMXN3/4DW6kT9YWR0vnvH21cL1Yzv/Nbf5R/7J47c5BtCSiyHG7Z1I7WGni+U169ZP/+c037p2o8UZ4Oz/Z+BmPp9Xb+TKer/5z/jMP65H/N8A/4H/5DH9X49XdGBsOXunh/8tb/BLTANGlhcJg5pQbdONXWzmF5dSTYEQsw0Ve7LmZAiU07UbSMdZ455Yru/JwrMOaNqLHkmKDQ11lqHntlEb5UgOHE/R5bTkTm65FCtSlVIU0byDNLQXpjnzM3tifN6oaKkefamdqmoqct0mxDTxJwjVguxVcwCWgulCGE5sCwHQsjE6chFhTwtyLRAzpgJSRIyJUgBEZddB6Hvqsu7cQ8B6eZZVzMC4crfNBlOHMFByjFE58yKuVrGaFoGb2HByBIleJAgBCSKvzTqWTc70SW4HlwMSHdToRTyIPV7aZqm+EjzU4Hg6iP0TpoSzBmbMrLMhMOBKWcmIuXugbLeMQGmnd6q+3eE4AaQKTGnTKfw7BS43J/pzXP+bl6SVu2EnBzTVxu9d4o2YhDCEAF49/oLXnz0MV98+hkffvwFy3D10masWyVdVqbLmbyulFevrpeuDyxsTGn3r69vfVMyyffr77cGtS8EePvJJ5zfvmOZJuK6ApFIJMdMEb1yPs0UbR0TlyO0URq58XOi18LpdCIZ9JSuA4OAUIubykRhTFSFbV1JyaXSYwpMh5mwzGiDrZRrJpSmySlLGClPSBYuvbKh5KOXmTkmLnf3WNerkc5y8GyytEqaMvPpiKZAmickZ1rrbO3CEmdYjsNhzG8W0zFJ2Zv3gJkMqSgwCU8oRAwhSj9Pbp4mY+r52H96qhAjhOEtYVAb2tqQLXK8l5j/3hDdtNqjlvjjTxzV9il2wgOnXJl9gkS7lq8A1txWMuyk2+ABW81cSillItDGoMK9TNVpcKqEGOmmbMVFGGJO5BiZE+g88fBwHmYzfl7a8AEJwVWGW2uOBVQjhUA2YWuVu7dviYurtEyHmZ/79rdcmstc9WV9ODOfL1xev/nS5fuTXO8D3E/D8gjEZ9/7PmLGzekGu7/HxXMDt6cTb2t3mzpT38n7XjLq9cYvpVDKypQmL0XKxhwCrbnbfEBJwBwi8/DprLViGpCQMY2EkLAgVG2sW2NdN3KIXkqZcqkbIQkhBVoOrvF2XDgcjszzRLms1DGpte6Bo1QXflSMsExYCoQpk5eZLo7Ji9NQs33+kjz5oKD2SlMhmX6ZV3KlCY/+lP/lWq6q6mMuIaP3hoDoFch7nXiGPp4j6M7EiwGJAWKCFNEYfHo6QK4hjJTQHg9HeJycinl0s+4ipNZGzTagIiFEzAKm3l7wfcuDmyHc3J6I64X2cM8mrs4iIaC0R429MAzFdy26EIFOzpl5njivG0GMaZ6HyXd/VMUJgZzS8NUQEqASKZfVudLWeff2NTe3N5xOJyS6JqDWSnk4Ex4evnz5jkGWjzeMr5PI9c1B5L1fP3bZmLz1deXtp59zOhyZlwOn588Bwbpyf3fPZV3HDzj0Q3UENrPhxdqvPE9V5e7+gdbVjaQxHwy07gBWEc8AR+bStXsPKAbchzoiQ64nRPEpXPQSa2sbGo3ptBBvFlgmDs+f8fJbH2MxcV49q2CIeIbg0IXSG5IDFgVLEZkyRV3iSUavzqIgOUAMV0qVO7TrGBjoLsbkvbgYHs8hj6Uo4D2xXbxJngTDGNAUsBj8fUanuJlASAGil6YW5BrQ3Cdc9tPvYWJosukwZbki/IMHzj2jZHgrPA2GNoQXTHCntepg6BQTIQjn85mHy4Nj1kRpvYxS26WnQgiP101rnonFSIxOrZvnefRVdTizJTcqam4IFGMkx0QOkaB+jM5wCZTLhbqeefXpJ1zO92zbOlgv/m/l/EC9v79ev2LK41+uD/4+3yV///U+wP00LFXWuzseXr3ikAZObDmgCnTjfD7TBufTtf2dLC84wbsP4xMRcamhrgPF0Gldqb0NWfHdh7UzT9Nw8XLYSBsKFVdeaRtT08MMwQgpuKmKdfKSuXl+S5wnR9sH4bKubOtKbY0+gK4Do4IFp6JZjMRlIh1m+qAVzfPicAyMvCyQAhwmLIEkx9ftMJURMbxh79Ayz5iG5aNZ9z+D+WuOrz3IaQAdTX3SCF4BJInT3IK51EcYgFzVcb4cGIvs59iu/bv9y2QE4MEqGe94YPRGqLUOdNw80R2+eimwja/eoDe0FsyUmISYvAe4b1I6eo5hCD7skvVB3ITbMZJeigYRtlKu5uSmfmQ5JfIwCzotBxK4gGtvJIzXn38KrfLZJz+k1ELXzjJNvH39mvLwQL17ksFdN53Hj8iRMtdHv9L1vkT9qVjK+uYt/bIxx8TxdMPdZ59Ta2XCp6aqSu+NXit5z1wYjAU1NOCTUTNXrdhBvpMXDhk3e3a4ibmWnbkhzDRlN8FRF4CccvDXCWHgyIAA3RrTceLmdDOCrUM8rCt3b97RS3VebHAVW+2GRn+9tMykw0JeZubDDW1dwQLBIl2h1UqcMq27LygykVOEGD1LqGVklQHVjqBoSCNZsKsCs+DeBozsDO9e+eMj1OzVJL1h2sA61irWCmL9aiaD6nAfA3r30lWGcJbptTcWJPiAA7t6ODiq2o1mJASorumn2olmLnNUN2w9w+WMnR+wd+/olwe0FqJWH9b0xjxN7rLV1Yn0qj5UESFFD3BmnsWl5D0zEd+4Su+o7Rn/mJx2f48pBI6HA1ut6BDkjCLUh3veoTz/4AWvPvuMKc88e/6cgPFw9475cnm8dAfuzwauWcC1E/HP46te7wPcT8My482nn2LbRjBjPhz5pBRXiWg+Pe2AjWZ/GH0n3QcOCl2VEH1yt24bIcCUAqU5vCCF4Aj2wGhmG1N2fJSYK1Z0NVf1qJUYk8tX9+IUr3lyOtNxJmBc7u7IeWaWzPn8QFs3//eYmWJiezi7V2tMdGBaDoSUISS6CTFMRElYh7oVx7fFgpZKezhjiysjR3xyag9n19oLzrKQPBEmRonuHgoi4gRx/LzEnK8TTh/OuFhBEIFuUCuhVhjMC9nL4dq8L5ciaEd6h96h4rg0P/kEUzy4+lBkD4o6XLOCDTyeGDQBOkkG5WRdCff36MMdnO/oD+9ob1/Tz2dCr6468nB2u0GR0ZZwCaWOQ0dSfFQSoRdSnslpSD4NkHMw0KbX7M2ZLJkUk0/uLyuiSjA35anmncCyXrDeefPFK549f8GL+pLnt894c7mn7+0SgNaQyc2lv3RJf029uPcB7qdgWWu8efU5NsCyhEA1lyevpVExqnWCGlNwg+gYIuu2+u6pikmgyw4JBsNLzSSCjsyjdwcBSxqTvuF52Vqh9+agVA20rThwOLi4YsiJmAI5zcNAeqWVStJA0xVbizMCQiCE5OXcKFXagG00NZaUyfOBdSusayEH5XiIWDP3XJBI6tAvFzDIcQbpWLtgQdDN1U1iytAUa93fQ3N9OQwsFqdGDXoUwcG4InGcazfJobtskG0bVjYPdL1DHV8xQo/+WG/+PTpqWhyms5t3jxLaAFQJrV3Bw7Q2Uhsb56VBqXBZCZeCvXtHffsGvb+nn+/p6xmpXqZq69hgS6SUKNvmGnC1OvUuudrwnkn6dDuRWiLlzraWK4zGdMCOJNBbJ0vgOM+U1sgxksbkWW2Y2Zjx6rNPOX30MZ9//hkvP/yIm+fPeKgr5Xy+Xrt9K4R5uU6MYVfA/urvG3gf4H7i68tAyF300p4+gXK+cPf6Nb1Wem2IBPI0cWkNU6UN5eBdSjNlR+vX3mna0fFb48B4lVrd4jD5zX0FXg68kqCUrTAl90YwnNTNuMitMyAMSopDL25byWT6MEVBDTSSCdzMC+fafWooXjannCm1eXGYE00gLU5U701dVaQ17stbrAtxmcmHjJWN8/mefNMITejyMLilGcmJdDwSlnlkXKPxXje0NlCjtQ45EeaZ1JsPDBAkOQNB+sCw1YptG2wbej47Rk8VUcNqR2IaBa16FkfHJDhcRIx2WT2YhSvZFm1e6vl5C0htWG2IGL1VatnIEaQ22ApSKvX+jvXNF8i6oeuZtl4IqvRaXBqLoSKS02BJONNEWyMSPcAPzu0ezFJKpNQJUqnqM94QfMMj+OBKsnORc0gU83Nt5uT8rkpIgbt373j+8cd88sMf8Eu//Ac43p6Y55myPWZw5Xxmub3lepHtE+6v7I768nof4L4B69qR2JuwGBo8XAVTzm/eopdCHcGtnTdsaw7sjXhJo85c6CiX4a3pTqo7uds4HIb6a20IyZHyOWCtoaZu7ReEOHBRfclIWFBccYQO1pU8ZbQZW70guIu9rS4nLsz+nJiQ2ij2QJPAet4cGBoCcZqordLNIQlymLl5+YwwL1jxmz40o/dteM8mzm2lz4a9Mc6lMl/O2HklH29pISHLwXtwCG09E+aJNLv6B7VA9Z7VerkgOTGfbrDtBoLjwGKexjQ1E3A2glw2KBU5n7FtdZPtWrHhbcq60HIi3JxI5TBMhmSIdVZHpsT4OAmtlaANLQXVzhQz7bJ6aSnCjNHLRgzQyub9uctGrhW00SO0KFe8mzAUW0wo64breSopQI24A9cVR+dZl6NRfMATkiDN6Go+VEFo2gkBmvif05xZuxCbINU5qh1zrbnQuNy/4/7tO969/oJnL18wTQfut3K9tsu7txw+/ogeg5/X6zwofC1R7n2A+yauK5zLs6v13R2tFKfkhDAI7W7gXAemy3GlikiktDZwUz6Twx4nqHs4NVUsBjc6UXfBMnO1VxEPYpirbEzzhKhSSyHHhNbOer74EZoSSK4i0o1eKrUVNHamNBMsUGul90rou6EK5JwJaXJhy+OCpMRaK+X+welGImy1sZXCNM0sN0dulsW5ndvGw1bpDU5ppklzn7IWqX2jBSMfFqRktvXiPS+D0BSp1aEovaJ18+mjdXpMdFX6UBWOCJTmsue1ErWjtVDXC+3dnZeD80JPkXRzIh8PdDP3sECGBptn1CEl6lbQ1lhyoq0XL+OTi0+aKvfrhRwCmHJpjZycHqel0UuhrauX4MDlfEG3Fd028j4txYHZitHGhhVGEHHP3OAVtDrA2kaml3JiO6++kST301VTohpLzHRtbrCTlNo6FiKMz6fVxqsffMLWlU9/8H1+7hd/kWmeh2KJr+3dPVoq4fBUQunrQ8K9D3A/4SV7f8Z+9LGR0avy7s0bei0+ki+F3pW1FvoAlQoRG54FmJd2hl2ZAogPGc7nB5e33oEK6lO3HHYwaaD3zrK4ZlofMIiybo/cSwHVTlsbU55IQa5kdYBaCl2b645dMV8wT5NTgNaNEJP3h+bM6cOXMGdKb7TNdeJyCK5kUgqmndYqE4ppo20Na43ehRpXZ0WkSD3fMR9muhg9wrItXNQc9FyqZ621uw1gSrSbA3mZkRydkhYjacqElMZEGmhKMCiXM21dEfVpanvzlod3dzRx8v/h9pbz6FmG4PAcmvcYuxkxT9x+8AHB4PLq3k2re8Mi2OQ2fLptrHuPLLk8+rYWEJ8whxBoMnCD88X7bGo0bc5nlZ254dlnHJCVPqariMvT11pdVUbBZTsdNqLm6jOKIWpc1g3rnWmaULXrIKpoI0ggijGFQGuNSSLf+63f4lf+0B/i+XEZdDVfD69e8/zugXk5PMEg8qPffGXrfYD7xi6n82ht3N/d+fdDc40Ah9OJuzyxrefBJHBmwLBmcbJ3kKvfAgwg/6ARqakbCos326//5vwlWu9MyT1eyyiXljxRex8YKyNOu46Yo+DnIKOZPcpss8GEMOaU0eaab4jycHfmGJ+hKQwiv6vK5pzRul0pY6ZGSk6XupwfaGbYAK1ZbVgpIBMpC72tqDgMpa8Xh0yUgnQjIrTLBe2NNGWMhllDaiTtAgMtkmZH9UeCZ09r8angngVqc1/YZeZSCrE35P6OVjcIwlo3MKOtDW0OUpY4sX32KfPhMOhfuHKygeqG5Oxy5HhfNM0zzYyOiyeE7ODdYAN8HTwg5ckt/Zw768BjDHoALUoMQy2lNyAMzwsZrRC7goFjiHQ/GJdNj5FWlNI60+zafuD6fY5+9J5iGhLw3Vyd+M2rV5y+9fGXzJL63QPl3T3zyw+RLyVxX08O9z7AfcPWl6CPZmh1OIDoAJaOSdbx9sTpxTPeft4Gmt8zLB1lkY6LWAZiPohcwZUjBBKe7qDiDIYQRpOfoUCLsJbqXhCTuJN8L4OOhOuQTX5T1NaovZJydIPgFNCm5JyIuKpw3TYkNrR1zyZqRYNgrbOV6kEcR/7HHL0UDIIEf/8eMEHIyOw4tIjDTZpWJHlW0poSYyZmyFOknC+oKfOUCDmSUiAHo2wXFCPPE1MM0Dfq+YypH1M7b0hXoirr/T3WKqEbfXOwc1gWpHWCNtKU2IpPMm+Xme3s0+fD8YgJ9G1jmucBxHVVZBuMjjhNHrxzIh6cb6sxD/VgJ77TMpoK+bgwBXh4/ZpmnYx/4CL2hI88BiohOi83PopaqjqOb2dH1O5imc383DZ1SXtBuH84Xz1s90GFYtdAGUNwa8HW+M2/9Tf56Fd/ifl0+3gJny/0+wdoLqd/dY8bA4+ver0PcN+0NUCQe5bfSvESa5Sbap3SOmlZOL14ybu376iXlRyC3wTjORbESwv2CSlD4dd4WhoYOH911A8xZzA3g9kDUG/Ne2Lr5uKMxpOA1pimmThn1rJR1Qn+iiG9s13WK7ZtV/21MG5sVVprbOuK6NBXG0MMUdiaezkoSpyS06Y2RTvkJP4qvSLMboATo6upEEapl9iaoQIyZbQn4vHgZX2MbLXStGNiROtcLo0grshRa4em1PWCNEV6o5cVrQUxz4ZSzlzOF2LKSHay/eH0DAlCWzd6FCfg50ieF+4fzogl8jQjcyYfFqoqccqk48HLaYMeHYcWiIgKvSkmnWbKw8MDXM4cBA6nGyLGdnc3eL0D6DsMvtfLSl4O7s06Pl83Kh+Tcx2Mi95xAZOI9D4UfaGpDiFU9c88QDRx5zZGK8WUgJEE7t+94T/+j/5Dfu2P/1cfr6+tUO8fsFKRZXmklH1V98+PrPcB7ie9niJC5MtdCVGjrF7yBBwd31UpvRJNOd6eePbyJa/bZ94kxq6yP4irTzhbSX4sKcaTvCHbrUppjRQDcxJCcs+Fy/ns7loIFt0jofdGqfqodRYDRbubMOeIRSGkxPnhge3+jMxHoslw3DI0djQFFhHKw4VyviDVebCkCIdIH9SnmBN5cfOZMni0ISQXhlS379NyIR2O/p77GJ7o6EXGQGmVpsr84gWkRG2Fw7LQNqGXzeFwcUJdDI4UIl0qBHWfWSv02ohJ6M2b+DnPfjziG0QMbskn2eEqMk/EpbqL1eHkINsQXJ9vmbA5U3Ydu5zcG2LOBAWLCSXQ1Sil0ceUfHQPaK2x1sZptBDqtjk0x9Sn3109awuDBB8g5jg+a+e+avfNhRDJU6aV4qIDxtjsZMjcO/1OxB3BggXiYGJICmyt8+Llcy5fvCaJUO7uuXv1xeM13JV2Xt0R7ct7q/dMvuIs7n2A+4avWhxTFnAMW2ttZF3uefDi5UvKZeVyf4+q2++p6fAPdbURGP0380b404GGE9TD4H7774/ik8+6bt6gVnN8WuoIvrPHFKnWOcwH4jyRDzOX11+4Y/3NkTCmie712blcNndTz5OT+rOXsPdfvCZbQHQo6y4zhdXR9CRa3Qg50LTzsJ4xxKlog+8peI8pqsuxV3yqm+YJESEmKOqT0pAnx2StF0rvNBXURqEukWmaIRmtV2LK9POK5MmxYL3Tt4uDmrPbMMYpsV4K51K5XW5Znt1Sk6DRdxkNlWe3z336KJF4vHE132nCQqCZDxWKKTkK05TZVi9r/dw5tCR2oHaiwu1y5O7NO9q68q5U2uVM3TYvAc18klrdfb4NVZkg0dsbe2kJV1ha6w0dzJcg/r6aORwpRHMzGvMhRpZ0zb5SjFgSem189uoVJkIvlb5uMGBKAHVdKeuFvm4kUxcnHa//HibyM7D+foRjM2/mam/YoOEIwXfzQcfqvZOXmQ8++pByc+T+7Ru2+yFrvQM8v/RKNjJGZ0amESi8VDSaCFkEVeH+/sEbydEZDiG43FITV5dNuAdqGEBfNWM6LBxvDsToQ4xlmrlrr9l0pdXGHCLWla01bp7fQgjeYyMyj35TDoHeG8t4f7spS9NGLZUYXADAEKp2oin0xna+J6SIBeg0FxIJDHNqIadIrY37y0oM3rPTGBHNoMq2NS/J8sS205IYDvY5ITlDb8QQHPKSIphwTEdC64QpsWGkwwELsF0Ky/Pn9DgRslAuq0tNucwJ3eBwWIZSiwNta68YnbqNPmPthIGh6+tK7optDS0d2xrlfKGuFz9vUUgxsywLrTY30enGWioxKfPx+AgVEu/JBQuE7grAOSW25uox/jwXYcAvF5oaaHczI0CCeb83QOmVEJ2qtz1caOVJgNtWznd3lMuZeXyej1fkVx/j3ge4b9oadBYV9YtoW7GyeTlh7m7virfuWG/mKP+baSLlTA+By7pSSvGhw2AqxAHxCOJYrdocmLtrnYm4EbCExDQdefPwxejVRNIga3tZqNA6VpQwB+jui1p65Xg6EINRtwvBoN1tzlvsheVwABLdEpIyx2cfoiMgbVqRkDg8v8W60i4rW1cuvbCcjkiM9K0QzalUW62OtJdIFrABu8CSO37ZcP7SztZ16KoF5jCeewj0IJS1MadEXzfWy4VEdPBzEmptxCWBNmrpWHL2A71BDUhMHrRkn05m8uGZCwbMiTgXokRKbUQCp2cvuLy9YwoJaw1SpBbnodbipayN1kDrFdsasla0jCwaz8a0NoIFzpcN3bFx3SAkalP0shHy7I5eUZnmydsX5m0DstBLcaZHN0wdNsSQWBIR8uSDh6C+SXb1x0t3U3ChDqaK0LvRRRjKnGjtvPrk8+vlXB7umcqZ+vAOekMsYhIH8+arX+8D3DdmPWn8j63NVNnO56semLaOtk6SSMOb9tK7QwFQwpx5/sFLDuvGmzdvKNvmDWPvyhFNSFPmeDzy5s270f6wYdLiJPvWG6V1au9XQGfMkZASIUTv34z+liTPwIJEDsvRBxHnM2W7MKcJ7a5MkXJ2r1SNpLxgA6ycponDzQ33d3eQIuu20R5WkgTO6xk5ZFJyR3h6B2WoXEQ6rlNXykZgKPwKoM1ljmJAQ6SUOqivQtgqUiLzdHJeKyCtUs8PmCiGkG4CKWYYuLaUM3WrdFPmKdMr9NodEI3ycH+G+cjt7S2yLKTlQBNXGNlquU6zNbiGXdsaIQVygFJW94LtjTAn0rzQrZPnCTEcAhJhShFC4HK5gCq3tyfOrz6njolpCJ6dhiDU1WlbIQbobvqs5q2I3WdjWmaH/miAJiOzd2EAM3WJp6GSIuKT0jb6cbX7RPcRXycON1IddgvC6zevr9dybxWtle18HmIQ7n+LfT2DhvcB7pu6DNfL3zZvHI9pJoYT38XVKUy7U4OGuKHzBCPPnj2jrBtlW9nWC828tI1pIuXJSzTto7x0fmExw3qnNaXpcOqC69RUgk/UMJfURo3tsjLHhe3+Mqz6GjQ/xvVhRQjk7GbPpsqUZiQE7h7u2EIhmXA8nAghcrncIa1TtcLwSaU16mVlvXtAzD0QrHdMYC3FlWd9mEcviqKo4BNlifTmwbi17sY2fSIfQObMIgEtBVtXJEFeXCzAp6wBtLNuG9YbARtaexWx5lJFtXJ/945JIrVuhD5Tt4AGdejOwATW0jAt6ABqt7WTamI6HlzYwJRSN3SDkCOCIuLySbvqsZgDrGu98PrzL9iqD0cUZYpuJt1q9c+oNldHDoEUjVodkpMmd85aloXaG/qlBr9/3rsysw0lGsE5qdK8t1trdQ067MnzgADz8cD5fOH+/KgHt54vzGvh8vBAb9WZIXun5GtY7wPcN2jtPYnrlwwCfXMHqD56JHE4Z8nQbHNsU3d+Z+/uAoX3zoCReXmwurs8QIyeOd2/I+IaYEVH1zlEx5wFlwJqBsm8TNmK//556MOZKW1zlRGReRD3XayxDjXgeZ7d9b5UzODu4Z58cwPVYAPTyJQyd2/f0UshlI6oS5RLV+q6YqHT1+ImMaE5JermyJQj1irdvCep2JDn5op7g0DZHGwsQUizUe6Bi3Caj/R1RXqh9kY6Qq3eE0wmBFOsFrRWsqpzSFulnM9I66znsxM1BtgZ7bS6ITmQk1BbQwikHFnfPiCuDY+oos3oJSAtoNqIU2QyYz2fSSmSxCjaXK23duaQSDmw2RAwdeYVW20o3Yc06pZ/KaUxLFBac9ZCaw3RjqTk4gbmZuCIw4u8PDUHcetj4JIYiCFS6F/Cr+m47sDhItcqQGB9wkXVUtFS2c4XFzz4mtf7APcNXfukKRgjc+hYaz5Za+4WLzFSRkNYn0hD71Oum+ORWjdad1rPbr5S1YcT3aChjpXbtdAcG+B80ZQIyT0YmqnbAw4hx9oaMQ0HewlkSdcy2nd+t+BTxfFy1YcEIS8+9bSAteoGz/PRQbVbIfY+2A6RmLznVq0PDqXjxJZpQlv1DEaK+47ikupIIIpneW1zsn6rrlYcckRspm5nDKV2pa0bOrizSqO1lSiTA4WLY/na+Qxd0VawWpHWsVKolzNG8Eb/5UxeZvLk/rFBG4qyrheiRbRuxNbRUvw4u9Iunn2nFFGU0jZXIk6JrVa2872bVosSxAhitLpRyupZLEZI7jN7ub8fGVh0fvEuvjmA4aUU2nZBeqJqp1SXoZ8mGdk9bkJUXWIqxEiwR4WaEATpA/vmtajr5w25KTPjfLnQ1DGD+6rrhm7Fz/Mw2/461/sA901cI3Pr3Qnu1o1eK9t6IezloeuEDJ8E97nUAScR3FMh4NI4MSZKrTCYDjFPhJyRlGllGxJJ0BG6MFDx3gOkdGSaUHO9tCt74TCB7GWQE7C3dR3qsTqkkcJVosi5k0LfNnqrPDs+J3QhGZzvHaxsdUPUoHW6BuYsrKtTs8QCSXzC2lrxvmJrWIxgRmkQUyRsQs4JotC2zdOcoZlmQbFWUOvEKaFlpRUfMMgx0rRCq2jvtIcLsRj2sNHPF2zQvnIQaN0VXmqBkJDU6JcLaTnSxSgPHe3FS7nWqduZdlmpa+U4zczZZcZ771wuFxQ43yn5sJAOMzongkHsDdTJ8r2uaPO+3/HoNLGHdXV5p8mDTsoTIYjzlC0wTTNpym4G3fwz6TSqdjepViMOSHmMDr+ptSPYgIl4m8TMjyGoW5Vp331hIUmgjlK19+4tkicBrpwfqNtG3jwTRl1O/mtiar0PcN+U9XRfM4edufpr78w5cR5BSFvHaiE7sM1L2WFiEgYlSyRc6VsgzDnzcDk7ENiM0jtLCK5yUQvNPIvrpnT8Z8X87wjE4IbPYTAjbAwe0hBUjBJopVEum9OPzBvQOU8uTd6U3pWyNkQ6ccmE3tG1Ey2zXc5oLVcPTvfS9KFH146kzJSc3SDaRwnv/SntnVaqT0qnibRklzSqRhymKtqrexN0QbcVkvvA9stKezhT15U0LWhv1G1FTOjrhhRDH87o+ULfNrbLmR4jfeus92digOUw01tne/OWrjCXI3FyDJm2Qg4jG7u/Z+pQSkW3OPxWA1JcH04GRq31QlvDUGlxAHY1IypMErk9Hbm7rG4gExNlW7l/OBPEDbVDSh7UVGnq/ciubi4kpZIOCwSf7soTjOTexxXZ2x4GJlelX/fmGJucKtr1CsFJwQVLHdvyZVD5ft3sper+Xm3Alb7qScP7APcNXPtnrr3Ti0uKY24kU1SvJYGYa/j33q8lpRig7YqTcy1+py3V7oq+a6kcenM8W55cNsjcmaCPqd/Qt/XHrhI7Nhrbw8dguDy1ofzhoFKhFe89NRqpRywMIU2Bsq0cUmC7v6daQzd1E2GB2gpllN8xL+6TuhyIh5kQItvdA6rKuq6EFB3U2pW2FhfWrRVscbev4WmDRFe/VWMSo951LHvvqtyv9K2Rp0QyaOcLyzKRc0ayubjmulEfzui6Us8P9CC0VelbQQMkInWrtK3BZeVmPXF6dkQmQXJCKUQ1bueJ9rDS1pVgE12M1s2zy+7vuYlSNyUtM/NhHtppnpWXstKqIqW7BFTrxBBJMVJKIYohARLGYZD6L9tGr8OOUcTZCjF6P1J8Y3J1GR3nzK+z3YWs+/jV2SODdBCiXxl9qEQjQpJAQqndN8C4WzUCp+MNvRS284Ve6nVaO7Ry+Koj3PsA941Z9vf81YYVHmpDyRdP8fHgNuWM9opdDFMbTkiR2t0BqtU26Ecw54naLsjAO7XhrDXNM1srqHmjuI+JnUsjhWHvKVcPYxk9naqKbWVwGneFCSGYS3d382PaBlFfQhh9IYgCvRTW7QxFybhiSBSo2sjzEXIkZO//zYcDicD963feA6zKFBa0usRSK42uMrTsnDOZp0TrzTFaprTaAWViopwL99sr55haIC4zlo2QFpIaFO8ZheIuVm29UM9n+rqSQqReGla7Z0UKLQRs7lhtbHQma/QE02mYVEtAeqeXQt1Wx55FIQVnGPRSsRjo5UILcJMCUQ5+Hgc39Hz3jr51JgJt9LL2ENEHnzYgaK1MhwX27De4InMY146Ojc05uDqURsyFLqNvGrIPp1Kgl0ZXV0OWKA4/Maf/xaGGvA++gnYikEcQBNf9O68bqWwDBfC+B/czt2z/v+ya/sJuSOwXqI2mvdORtG5EjDQdmEJkksjWCnMMTDlTbfUpawxoEbopU57JQ6utFwVtXioE8TYVOJDYKd5ePYToPSU1pBSW5M5QXQUjUoe0eBRvms95onYlTBOtVndY95ciJG9mpyViUWndA0LssL67J08TxEA+3tBTRFLwclPg/PqMVj/uHHFhyFoIKQ0wshFGWWVbpQewXjkcJlJOrOuG6kZthVQ6eqnYWgnE4SvaIClJC21K3mCvxsPrt+hlQ1vjcn9Gt0YO7hFhw1h7XQtxnrGtENSwe6ERIAe2zUvGkCO9NOp6BlV6UQ8UySXQgzkzQXuDIGi8UBUudfMSz4zYHBMpRE6HA4UNamdbffKZJPi10TulrEgMpJxpbfPssHaXXApOy2u9YsNFDXWwcZBOmiaWlOijldEw98MZ6iHSuwsuiABhvLYH2dM8UxwoeL22Vyohz2SMOD4rvnoK6nW9D3A/8SUDaOZlwZf+ZbAMduDIo3+D/znnTL2sQ4wwUrdy3SX33yZBoDsV6OZw5Hy5d5DmMATeeyZXGaUB+BWgjV6c8xCHd8Gwo+tdSeKCh+DgWzUguTT2dHC7QAeRPpa5MQkSBe24YoaZl7TiGLtpmtEkLjmeksNT1pW2VXot5Dn7caqX39aV3itazR2lWnUfVBPu60ae0/WGTiJsZ6VdHKunZmOKHNCtUGhchgpJXyvnt3ekDuWyoa37/jNKxrVUCEIM2Yn4QXz63JXt4YIGJc6uMhKn7J4ytRERzBq1KJYiMYBW9YxwNOk39V2htEqProVnTamXldIMWY6YepDMOblmXfMsjugT0/mwIEGYlxnVzS+GGAk5o3FgE5tneKqKdaMx3lNMPqUfOnnYYLKMnqsZDtZm9OpEmHJ2xZeKu42Ndb5cuL299cny9dJ1rq6Erz7KvQ9w39RlYxw/lFn9UvAehwLbuvJqlCq971JKw3dz9OjMXMzQS9JOiskZBkCQSNXOlMK1VPKSx5HtfQA9YfhlihPe4whEWl2lwidzAzYQhGAuRfTRRx/z9vVrHi5nksRhPg15gIx774MeZlc0vwmcHx7Iy0yMEYmd8909Qh4quB2x5FAZVUpXSimAZyYi5vJJIWCKg2c1gTjGK1l2L4HesWZObcIgZmiO7bt88c4nxeuGloaE7PQo9c9k11PzQBeu0kQSw1UGfBIB7S5USSSqK8PYVim1ufzUlKnBsBQQ875lqdV9N8wc7BuDs0O24hp9BlOeuFwuY1oOOWVqTPQ21H9jguC4N0/WPBCZGDG5WnDbIdzmUkm1VO/B2ugHpuwBbvQA95WSMyS0KRKd2dC00xC3l5TAPM1u/4i721/OD7wgkGPywPhEYh/ec1F/dtaP67eOwCby6HUKnkWklCjrRo4ueS0DLhF2TqHtuLedPG2gjgnLOTs8YDwnxeQgYh4pOk9Up+mmNDOqCikKCZcp7+r9NdNOA4IpOXi2+Or1F6wPDwO+kOhV6d1oQxbJoVdetkqI1wzPuZ1+o26lUR8unG4mtrKBday7aGIYctnWu0+chauycA6Zps7dLZcLy2Hx568FbQrVEAWtFcXo50ZIkHV2+te2QTfmaUJb84FCa9CG6GjToazsmWgcKhy6i2LqgZwjlhoSXGpKa0O3DWmKjUCm0piXTNqDaFcSgm6VtXs21eZMTJEcAhWG3lslSkQ6vnGliLZI04LgOEA/n5XD4YbbnHnzxRvHS2onxExOyXmkfchSJRcTEJEB4JVrLzZIoFsfFoSuZKMI1ZzxokOAobVGypEcH8OKqG+CwT8gdwDj6xG7hPcB7hux9o/afuRBGRfOHuCugQpopRKD+PSyPfZF1HZD33ERDZnqNHikMYy933yypt2f71mPBzmvIsJ1gqcoTb1MheBimNvm1Ks8wRUMGqndcVSqXj6G6EyCbt1v6l1RdgCEEaeW6QAJh9mR8/Wy+fvuxvbgirDTlL0H2BrE6LzcnR8rnZiTG1T3OjiYffi0FlpvTnTvhnQDdZ5k0451IU3Js4ytUh9WYgiktFDL5oYxpQ5VZX9vvSvBXE3Fg15zWEtrtACRiaqVbV09E1dzp7BSoSt5Cs5PbZ2KQ2kCAa2VXivTkr2HuhWSzMSUsIEp1GFH2GpDtZNSpsVOlEzOE3nJmHgW17pP4UN074Wu3UtQ2SG8Dg7ehxJq6rRAuPJLnRY4Ap84TIjo12JXD3x5mrDK9fnXyzj4dTRN0zhe5etc7wPcN2GJ/+8p/diJzu5RAFwDWx/cRB1EeBv9tpQSMWcHjqqOElBGLwXv8WlgmWZ0uGyFgVkTCS41VHXvAXtLcBxTdMfnga8zTN3AJIgLS+4dYy3Vy6qcEOtYb9RmlFaR6H273vvw5UyUUhyUO1hi9MC2FbKa95a6DiR+vfIxg7i13UCz+OmTgGolSfJNQAdvdMfMRbd4771BH7zOplf3KRDaWjm3TlCI6pCTNVzo2nw6O865Gy17lgmOszNVtsvFS8+ckJ6wWtGOi2+aOXBX8QA39PZizCNL97bAupWh+OKYxmhCLY2HUpiXhRQjh/nA5XKhXDaXMid4troDfZO7g0nch1VeRqbZmSY2QNyoEoNLY03L4mVvdKFRF1LIxBhdwcVsSKs/lsCe5KkHUjybTVMe0viPq9QCweXva60D8vQ11ae8D3A/8SX2+Hl/eXkGFrNjzcDpV1fHLdlBAg4n2Q1/97WXqvvyXd8v6F0XzBR3dsIgBGLOaBvB1HxnD3vwGfAUzChlc7NjEeKTHVtGGaxd0RjG+NS7QCl6ptd7p5Q2ZMczTf3mDyHRtdJqQSS6N+dwg7KmNK1+HjYPlGEX7lQP+t0eebeODPH3YM3xWb11Wld3aY9x+DyA1QFObY1SwVpzc5XeuACH44F5Xri/uyNKGJ/FY8vAVAe7o44ug8KUCRac4J9mcnQ/irY21uIZXZomTN3OL6Xk9o4DgmHYGAA5tMSC0NZCyNPoOXp21gfft9ehMjNlN282h+K4W5YPH1KOaIDaHa/Yml6vD1UfBqnpGHSMqXR/fM5VDdhcUVnMrr1awTedlBJTSldfXoCHbaV196+Ax5j2dYmWvw9w38RlY3QpDt6N0U0/wg7OtCFo2YdCq8C2beiT6VWMcQhVBr/Qe0dCpA3frW4ub+6l6dh1g3hWoYOKM3ZvNSMN2Ir/LvdW2rF6IcjjzmyjtBnk7RTdM3XP/Ey9b1VHj8wRFc6ftFFeN+3IGDpg5kHU3OmrrauX7WY45zzSm9FNyVkGKl9HGS5+84+MFjXSwXlCvTu+K2Tnr+76eb12Ks2FM/3EemN82CMaQhr2gDoGOntGnZKbG2upaBKqVmQzqrm5S46RkH3aXAeaP4VMyrNLwEecjmWOObMxne7a2S4XlhCJeWLbnF4Xp4l6KbRW/b2aXaeTfbASVMf0c2RzYGzbiplg5gF13TYY7Q1CIIlDhxjv7XpZ4jJwwWQMblymKqTIZSvcxOjqM09K1Pl44OFy5gPTK1tin9l/HUHufYD7ia8fD3z0qlWIOZNGmSoyPCyv0JHHAYReHbd8StWH+3mM0ak0ww/A+10jmIyfl9EgVyDHYV5j5m5SEpiCcIiRHIaSBD417KMflESurl2MxvSoscd7EWqtrl83rmntQ77ajLV4EEF1cGejG6X07o5OOjIAdWu8OXojOwiUsvMe7VqSaneu5SPuRYbuk5ezBhADIXs5F8YxttavWYpIcCbJtmLdFX7DgOK0YZ0YxI8fzMn4GEigUzg/NFpQ5mHgbCFiGMvxQG2NbajD1LYRQxrlf3CrwFaYNKAoKUWsGr0XD2xDj+/22TPqpbDdn8emM9giyBDIHLaAKNM0+XPUde0CIxANtZUY3P9BQkRboTYdk1DfwCw4LnNvWYj4xBhxvmsXBwCfLysAaZ6u1/Ev/OIv8INPv+AXWrvKOV0v+/cl6s/AkiffDJCvu5IPwEaMpNORMOdBu4r0IPg4gGE07LSdPnZg9NHiDdxZfYcxuJtVJ4pf4NIqmb2RjPMjxccGU3acWhwg2jDlgV7xLKXj0zGTADENbJ36MRhu6Wdg5qWxDiPmFOKYUHqArKV6w1tcvDHEQJ4Sou76XrdG7w6uzcuEaWeeju74NSa5gqJaydkDmI5epfNzx82uhrWGhkSYIhKUcqlIVxLjmIfUO2ZI6ySLGIJW79WZiZstxzAmyNfECLqhoROCO2LlmH2qaYq16vCIIV3UWmeyCq1wGRpr67Zh2sjJaXZRoIlRzCiq5BSJKVBWVyWxUpDePLiFSDDXxFLtxMFo7wi1C2k5uJl1TEON1yEicZpdutw6ZjgXWf1z1CA0wSlYOdMRlnwcnQp1l60QKK15v1A7W+/c5McAd1oO3L1+w+XhwX3Aw8gk3wN9f1bWtVN+bcZ5T8t7Q3Ge3Rh4mQnJRSdDCGhwuehHSRvb1c6va+8TpZRwOXJcL0395pToZi8BN6fZsysbgWG3hTN16lVtwdVGhnzRTu1iQA32i54QBiDY+2gqruXfu5O/d/cmHXZ0Tvp2+eydP2um7gTVA5u6v4CKkc0BwmZGKd60tiHCaRZHGS00cUtDUe8LypCLcpknN1gOU4ISnNLVlSjRgcgtXAU9TYd3aKvDdNoYsfCaBYOMY9JR+gHCddI6zTOX8wPWOinkK1+zlY1oia08uCwVI1Eyh1Y004EhVFLOLIcDQYRzV9a2XoHDtRYkjmm4eSbLKO+rdoxAXDpNBEmJXh33JmFQ8UTcujBA27y/2U0hOHG/t2Hvo1D7AH+PabyNTPFyPkOKiOmVrwpg3fj5b/+884tTfCx7dwT5V7zeB7hv4JI92AnkZUKiMM3zwCF5JjFkHzBcMqnv4/enldkouUqthOh0HZHHaa2MPh/Ykw3VBoTkUR5JRhC5rBfnuw4UO6PHI0Azh6AQAjqCpcgAwiqk5Fkn4mKdVR21L9em+uhniRO5ac1LqTF5NRNEomeD3ai10Zt7pO6SPsFVmzzL6upzEQXrDOCqXI/bQmBaJnJz9dto0d3sB10KceFM6zqMkPcJpEtQmXpv0oFhXkoLwcu5GKiqpENGkvM+FUOby5GnFGm1U3tzYczVQcx5yg7MhhG8YS33SIyknDnf3fuUdjBJemtIdFUYkTBi2gB5q1Kam+MIULYyrBhdA3CXdXdBew/iaHCa2jCjDgO4HePYqEarwdSQKV1hSV6ae9tkzHauS8349i/8AgSHF7HTvGxcd19xkHsf4L6pS4AQWA4H8jQxzTMpZ985Y7g25FGnKEU1uvrNKva4O4qIN6F5gk8aU0Z/CSe5M24KUQcLxzBK1hCw7jr/YmFkZY6lMu1IisMs2obXQrhe8C6t5E11VWcOxDjK62FmEgZbwxkbERH3YyVkN0LBw6+EyPiFqEIpnbJVB6KGOAJ3dDBx65wftkfgTTc0CCk71ayoMscIUyLeDL/S0mlDeSOm6NnmKPNlAJBDdK05E71KghMUxTmciDMyEMGiMB2PLDcLb9+9RXEZ9WYNmvc8a6141H8UIzV18G3AmNJoN6CoNJe3KnUYMbsZdjAPKi6LrkPReJeW98GUdXWCfnCdwF6b9wqb0WP0c2s6cG8O7E0hoiGylYIR6OwiC7jqL+YZrbj3xe3pxHldefHiJfOyPF7HMRJSpktkWpZB/eJ9ifozt55se3smI0HIx4UwZVdyyOkR8AtcwcBjuokO82RxyIaEMFy17CplJOML8SlWCpEcI9sYUjiGc3fgksF4cFiF9Z2vOlQk9mORQSAbGkW236w28Ao+zRgKI0KyMOz9ZGSgERN3ZteRvSaJ1+BGcHoQ5gZSUQK9uirtlN01SrXjPoEe5GpzYdAgAdc1c7Vi60qjEZmJAtPNATVh3e5BvJycpolyudBLu2avNoKxGUiIhGSj3+VZyloKKadh/x4JUbhsF8LsgVmtOyymVxcgGDzj3ru//8HMiHHGzPF5tdl1Ct67ImLX0hAR5+22jkm99m7du1p8aj4AvNo7aadYdYXm8kgqQ+VFwgiU/lxgWDOOLFXGcEm7t0Wib349wPHmyIc3J46HA6/fvuXm9plvcGOpQV4OHF+8YFoOXypLv44Y9z7AfUPW0w/bnjwm0zTKHJ8w7nJHnlk9/swyz2y9+Xi/e7CJsve5bJS39qgoYbj6hHkGuE9Unb9obvAyAqgEDxQWd3T7mITJznP1zMzw4CYylIMZ5eMIghZcabeP3Cpkb8ITBK0DT2UwpQyS6HhD3iTQhoJxEJ/4gSsTqzlodz9jtbo8uiPSnDhu4jjB5O+SefZ+luTEPE+sl82J6hgWBXIk2eztourwEhN/n6H1UbY5Vq6W6ij/rkhwNoUaTDnR8CxtypkSvFcWJRBTvkphaTdiyH5kY8OIMWIdpmnGTB3s3QZjoTmTtKuxbf77lsOBldU5q1oGZzS6sYzpdVNstTqQGQ88/jnjWbsYUYQ6GC6Gb2hBxJVmgk+VGQPp3jsyzTz78AP/vAjc3D67lq37CsMDYjocISbPFp+0Sb7qFf7BT3m/vsr140Aie4tCxQg5cjydvGkfozdwRTCxK94ohMg0z49RcuC0cs5+sQ8qlozy5cprNaPWwjroRI8lilyb1DbKXUd9OFRguDd4ZjQGI4Me7tlciJ5JGRCj06oQJCZinpCYICZCnrEQaSZ0iahEOv73rXe22tlap5qgePkrKaEiHJ/dcvvsGVttbpQjQinVlYNr5VIqeV44HI/X/mUtdaifcPUpuLu7o2nzDBVcsmk5cPviA8I0ezktAcP7erX1MSGGyJik2qPwaG2N2ioPDw9s68XL+NG3Ay8Z83DSakPae4f6xBg5n89cLu4loU1JKRNjGq2GdgVhgzMz2uCPglx/X855KIQMkVLwqehQiDa8zdCayyuhjxvE/vm7LL7j8GS8Rxm9OYKzM07PnzPfnChqrNWlocxk2C6OFSOSEml2loWNa+vHg6N+/9f7DO4bubw8kHEV3Dy7JU8ewDqO7p+G9prWytbW0Qi3R+DpgC0AniGNCxyeYOfMb2pV5apcMyaYNiARrjzij6c8pIr6o8PSeAEgfIm7uJc30ncclUCMWIgudx4d6W8xU2vxIYIZyYRogW4ukBmym1RrGOXx6MU9nC/UrfkNE1x1o7XmsuumA+Tqst1tL7/VkC6UtSCXC/k4YzjWL0pA8d9XehtS3eOm7m6SLcN9qtaKtTFJ7p1dTqj3TgyyK+o5BW6cr10x1PmbyrwsWDN0G4GnNZ+ULkeHvAwLyGhGGTxXU3ehb12JuPpy6+0Kb5nn2QHN4bEVIePn+pA+khCIJqxtpQ51Xe9Tdjemac03s+jT+RgDKeAT6QGhUQKSAjEl3t3fo0M6Kw4q35Qew0rr3T1AUvaM/YlE0tfRinsf4L6By/dOvd68y+nEcjwQc77yQRmE62pO0q5t7OSyZxQeCPc+lIXHCdvew7k6JI3J5ZXCNa48EVwFwrzkTTm7htpQm/Anjp6NhCvsw2DYyrmMdtjFO2UwJYJzWHfcXjdBgotXdhQleGkZvUFu0h2SgtKHVFEr1aWPcP6qxeEroIFSCxICtZVxTMPAehDjsd2DYFC+RkYbRv+y1spWLzAGCW5sw1UmPIr38rTrUOC2EbgM8IFMCpGcImn4Y8RRpqs2UphcEUXCKH37MFGOxOjBUMY5rK35FH2aKGuhlHbNwMNgq7hkfXgESYvzQp16pVipDtOYsx9zhroaXXwrRbuDjMdGYAP76JtE9+lnH73d5BCgNGWaKuv57BJJo9+HCPFJgDufL3x7ci9e14n7ckjbbQi/qvU+wP3E14//cBODdxqUdLolnp4R5gMhZqaY6VIhRnpM9DYi0sBgiTjif8edxeCN+RiF0spVcUT7yLwMhhwhau7GNaYcV5wdwLatrjhBpw8YC4OqlXOk1eHR6lWc80yBEL0BLtFhCHleaHVz0r56wIwjuxCiN+Dj5D2kjk/wRlHTm+uWaTOsu3BnkEf/iWCQSFdivEUX5CS4oEAz90fFXFBAzLDmvqLWFamdKWZKd/XezboHpRgR3c+L0K1eZdzB/V9rLdfSsDUgQthc9sg133QwnzohCtYgSCKnODxUjWlKw8/Wp9EieD5o3hfrBOoYkocQfHKtRojufNV6803CjC6KJP/ZGAfhXd2DIU8TvTS0QmXwlIk0G2yQWnyoNQJgjAGTSAyB2jsxCaouBxWCMxkeYTiP13Tfqp/7Zb62LnYI1Nex3ge4n/D6++1eV4lL8Z7QfPucuBxI00SLcSRQ9mRqyeiVcC0Tr7QY/HqKMdGkDkLh+PeR8TmfNF7BvTr4l35Lh9HYdlK77bCGsdtnvGQ23e0Cvenuiq8NtSFIOVBX8+z2dpf1LToa2r17VqrizfbWzeEJ2t1rc7w/VxL2ALVLF8Xkje3dUWyXidLWwbp7eo4eW0rZRRu1u35ZDFepJlHoa0FDQLqXuowsby8N17U43q93L1vxLLkOeEhIAyaDswswcdu+EK6UuFoqKTEMvEejX7yPt64r0+LySK03VzzpnboWZyuEQO3K8ebggN3uI5taKp0CcZe5F9K0EHBxVJ+QjiNzdC8igZQytSqlNmKOxJww62PqDtiQtgoJiRlSwmpxnbsRZFMIV6MZQb7k0ZtiRGJGJi9RGVXCDo15j4P7GV8CMGWOz2+Jy0ycJ2/cy6AJubmcl4iMMpTHfs8up2QC8+AkXhvqDKqX7pnFY0kbBqwDc6K9sT9HRgk9ejfiQWddL85/HcbQrgiMT9/Uy8E4RBHv7t6N1xbq4Kda94zDhRg7vSuH44FaHrMiAQhGzBO19SupXs2b4Sl6CeRMCQ/SpobkUWIOFRJthrkn38CypYHt0hFMNsBotYLBYTkQJFDbSqNRN2OK0d23xnl0FkIgpEC1TuxGa4qIk+p24QIwYnQf2xg80+xDcmofJDk0xrOlGMT5sDpc6semtF4uZBFEzeElKY8+a2NeFkJ2OSqHeXiW3tSQkCDsV8joze7AX9QzS/P+nkTXcuuqNKukeWY6LC5SGh2uEvZr1LznGmLgKUyEEMjzTJwmwpR9Yx3Xzdex3ge4n4YVA8cXL9xCb16Q5FNIpXqZIjrURUbmtmd3jL8z+iopkafsA4kxcNBrxuXczZgSjN4NeI9GPaI9waWJ+w+ISw51VXfPCh5s+pjUycgIn2rZhehA3l2lRHX3ffALv41e4rZtrNvqGmLYVeo6xaFWOxqFJkYzb7o7oFhpzUG62ON56AMusyuxBEtoU9a6+c92ozclpji8JNQd6M0GtC2650BxvGGedkbCgGJEgTQwcCEOI5chXZS897arEKvW0UczZxcE91aQGN20B1fhUDPKQ8OG6IHiQa6ZItUliuLIiw2cjzxcsx4xkFz7nK12piUT80RsCloozSE1ce8zsp+nThyfvQXfNFpv9Mv52jdzup5/NvRBLYxfDikxT06JS252vfd8v671D4SJiMgiIv+hiPz/ROTXReRfGY//QRH5D0TkN0Tk3xKRaTw+j7//xvj3X/2K38M/+itGDs+fkW+OhHmGlCFEDzwDEnIdIDxJ+3dM1S5DXWu9YpS8VBkZ3uCNCi6wOc2zl4pxqATjGaCOyeiemfkw4THwtf44ONgHDXsTHLiWzPvx7Ri9Hdg8kH9D6PJx6ru/XogRie7vSoyQXBVjh6E0tUEp8t9lPsr07w1qay7LNGS0a2n+tTW3wYvJVXW70lt3hsTgayLCcljc9EZcbqrr3ttLfvMG5+r6tNB5sWZCa0obfdJ5XjxYxvQoLRS9l6biysIN5byuPJzPlFp9wNKHDhsuhtlrc+Cut8hcfnzgAxV/zZRn0jS7f22eyIcD03IkzQthmq+sk53mJ2MQ5ZNnJ/h3ERpCG1m57r6pZoOm5v4crbYrle2xNwm3L54TB5ZT4u62+3QC/9Wu3wkObgP+WTP7J4E/CvzXReS/DPzPgX/NzP4Q8Br4E+P5fwJ4PR7/18bz3q/f8/LdMx4OLM+fkQ4H4jRhwQGlLl0Ur0EkPIEIwJeD3Lqu1+f1PYAI3jNxhC+XdWUt22ikO8e0WfdemQg68gX3RYgjCDg520EH3v8Z1ewokR6zq70c6+bKJilNxMEA2BkSEuPAS3lGuPeNuuJ3YYxDRHHIEIWIDRmpNs6JgisXx4QOlP4+5Ig5e2nbuntLNB9a9DYCcnPoh3Yd84k4SOnGNE8uXxWDm+NkD25pmrwUy2lAb56eC/c8iCmP7yck+HtMy+LDIhzaY4OUvrVC6c2VnsYmU1unN0Ob/34J0c2jxSEbaZpI83x1tCcGSIG0zEhK5OWIxEwaxxliGpuTS4+33p321ZVmwqVWWghMxyNp9klpTIlpp+Z1h7PUbfNyfkg57QUwwHI6QYrEyVsrNgYnIt+QAGe+7sdf8/gy4J8F/rfj8T8D/DfH9//C+Dvj3/85+bocJv4RXSaQTyeW0y3zzYl8OLgVXfIbj/Do3bCf6n0AAfzYx30C9xQuwnVw4dhPdUI8bjCyZxvypFne9+BDuGrRXft/4ji7Pm6YMr621llrpePHnHImxIwEN3lmHJMqVB29PHaWhPeSGPJMO4j4So/KGQ3OorAQkJHxSYh+jOJ0tzxN/lwbMkNhkMANttIdPhgiEIhpugbnfYCRpnzNUEOMTHlyiaRRnq3rSu3V3cIGLs+ztEjIEzF7wz0fjuTl4NlUiOh4/zG5RHxMHlDn4xGLictWaDgwR2Ki4+97WhYkZc/SlsXbFyHSDLq490NHKFXHec/ENDHN06OAgziWzp2ynMbVCMQ8k+eFaV68TB2GO09Nyek7h1muUKF9pXmiByEu05W2ZwMB93VEhd9RD05EIvAXgT8E/C+B3wTemNmuNvhd4BfH978IfAfAzJqIvAU+BD7/kd/5J4E/CfArv/Ir/3Dv4h/lNUq3NE+cXrzw3XeafbeepqGwynWiueO+rj8KV2Dv3vfaNd3cBFh9osYerPYgGBAbzefgN7Mfyq5owsB3hQGKfXytnYrTxwDADKJBU9dm681pZ5igMspRdoFGu/7uPrwX1IZzeggeLEYZxn68yDCw9uAmeUhqD5hMiO40ZQzPhBgIYogGQoi0zeXMhUDKMxLsyY0vQ6jTVTXciUqJMbNuG4dldnURc4MeSbNnh70Ts08ae/dJcAheooUQSGmGlGjWh6/tkLMaX1inlcZ8vPWBw2TEyXtwcXLrxySBPOAZOiaaxCGUOSUvx8dkeVcIefnhh3z+2eeE6AE55nRlsMSYcKtnXE0kziCJ2j3o9ZHNuqYbEIQsrsISx2Bq7wXuKy8Hz1TnCYIMhMj1avl9vVV+3PodBTgz68AfFZEXwP8B+Cf+YV/YzP4U8KcAfu3Xfu3ryVd/apdACLz86CPmmyN5mT0DmGZXYu3e5N05pbqzCvafHsHMy1O79j/itSxk4Kw8uKkw3LTM6Ui7DhED+uZK41c+447u3ZH+hk9gO17WXsGcMoLRkxYOqkOKqD8BBvtUQ3Ew604VMmMEl+G7EKKLEKR45YpW7aSQEPGBRAoueySeNDivtyshDdAxYfSV5DHjJZDzRO/VJdZNXSKqP0JxdAQsG1Lq0+QQiMAQKZjdmk8EpPsk+WrI6FrxvkFpB3XCvAdWZw/MZC6XRheXOoowNrTiPTXwiWSMVzXmGMJoWwi16eiF2hDYdL2+7//gh48AboycM334O1gX1ASCl64xJecBd5dq38VI9w8w2KB1hSFdHsL1M9tXTNlVqafZs+Txul9XSfe7mqKa2RsR+fPAfwV4ISJpZHG/BHxvPO17wC8D3xWRBDwHXv0+HvPP5grCzUcvefbtj3n73e+QpwniTJVGyFCqIrQBd/Ad2wY9h9HAtiBgEdrwXMBltx1G4tlaiCNzY9exdEBtjhnVRttpXOOwdBzbrmwb1EsPxbm0e+N5Z0rAmNq20TOMDjSo3V/fm4pGGgMOL50i1p2KFgiD/zoMVVQGLzRSWkclUXonmhJTGuYrgdKK49yKekba3ItB21DEja7x5pSsSFMnwVtXpAcvr5LzbFOasOY3ae+KSRhAfz/fOXkJuw9bQgwuDKC4aUyARodW/FzU6mwRkysHVSQwTUes45Lt3WlaMeeRYXvroA+uZ6+dulUPVCKE6JCNkNxC0koh4BzRmKNPfgfOLaZMMHEanEGImSQMcrxfD2EXuhTvh0actB+DEUT3ip6QAvM8P163KTPd3BCOx1H275vigNZ8xZHudzJF/XhkbojIAfivAX8d+PPAf2s87V8E/u3x/b8z/s749/+HfV0jk3+ElyHEZebZRx8w356Yb25c2jsmUsxXHbCBgb2Wo2OIOL78GxlPEvNdP8gY3wd55I2O5+878vHmBiRe+2oeFL0f1IEG1PHV1Ibw5F5CMhrvegWutu4O7zpcoNRcoLIzjKaHoGTvXqoK4iXVuAn3DNCTCaE3G+BgoY9BiJhd1XNzji471Dq1dHpR+tbp1c1r9sJpBx23ZiARITgdSwOqbtQSYyKnTIjxavfg5w4keWPf+4mRmDJ59j5WzJkQk7+v1jk/PFAvF+e1tu70s25Yh96A7lCMacqk7ODumOKXgdxX+EWgd4fIWDe0OpND1JjTRBYh9Aa1wjDMDqPfl/JEzBOIg3lDSMTkvqzg2Z5LZ7n1oYy2SFCc5qU6GC6Oj1uOx8frNifiPhgbj8n1gvzq1+8kg/t54M+MPlwA/pyZ/Z9E5K8Bf1ZE/mfAXwb+9Hj+nwb+TRH5DeAL4L/7FRz3z9wSDEmR0/MXzDdHlpsb+vGGS6mcbo60UtyLcweNyl7W+WW1DxoMu+KxgC9BTB6f7z01DSAm1N45X87D4d4HCTvA08ak1MRLFnCPF+CqLbYfi/fwBNQzRAmByF6S7mXf9Yev90BAroHYrpHTviztf615h+DnDocxP44welPO0AiPBHSzqwSV/wDe5xKHvYTd32K8T917bcIYTOjjVDlG8jJ6TYydRm18Hv7rD8vsgUz9fEVntXvzvnmZTtzpVzsDxMtOz56cYB+yb2oE7xHuUf+qBCKDTaLiwUd1uKd1pAf/HIWhNvJ4DSBD9n3fLJ+0Oq493AHW9Z7vSOt0qEunxHI8XK9bi4HpcBwAZtg/sS+7p3516x8Y4MzsPwH+2I95/O8A/6Uf8/gK/Ld/X47u/XqyXPH28OyWw4sXrKfTwMQlzut6xcPF0fBW9QDmsDQnYtda2SVKZOh7pehqrhJ2yWt1WIXqEwycsJZyRal7E9pt43bVEFUXqwwmj2WB+G699990eBxce2syFHJHqqe9IYw+Dy5YGUdfa8fFPQa03YfBA5jowNUNoKrqY7DuqsO74ekthgda88GHdQ92pjs2Nl7pTWHcjmEwJDzVG2dC/FymKTvNMvqwQGw3unb9NjebdiC1u44p1ppj+vYJt5pnRDuIGkHEJcWjBNKSKVu5Qjv2lkIrDTN/LTO5BkfDPPMcZjSuFOxg6jpK2a52vSbMlCBuNGSDm7vDda4bSPBhzHWNOjMmz/pSnlieKPrGeSIf5ut5/7r12d4zGX5aloAFYbq95eblB9zd3DA/u+X89i1aHbcmMQ4LuI41viSOudOkrmVCCFhrj7COAbb1zCOgMqaVZlRV8vAZcNjG8Cod133fbzZGpsP1nnksjxnz0b2EHq/sg49hNDOCn2d6no3EIByWmVqKexDs01MdckV4oKOPjFHsakDtGZ5cs7kgPmVtrQ113pEF+pRl/N2zxSlPmOnVR9bMKWwuujnOmQ7Klzj+kCQoHkzcO8L11rT5V5TRJxzySdYfM8ow+K3qH8ZVjj6ENDwgfANorcKYzNL9bKQYsG600etUkyFf7hxV596OoI/T6Qaj2Ac7ceeHPn5c1rvLYkXvO9oV3xavoPBdlSYGh97ElAgpkefHDC4dD4R5ejLA+XrX+wD307QkkG5uODx/Tr49EY8HpuMBvRh1Xem4B2a3jtRAiOYXqhnLsrBtG0gf6uLhWp76736cdqoYZsPeSfZe2GCf7vLkcAX9DsWgoSrhvqs+ihjS53A1lZGre9djCf0UHiKAtuZu8MOGYSfG29PMZg90I9sQ80DmJaQ35GW8LmEohQzSv1PFGCWd82xFZEyVecwg3VtxBL6++1RfS/O9VFaF2gpTnsCgtkrdqvcL1dwDwU+Ql3z7KTc8C+4uPHql1THggHsmNSbMve3n0J+QY7q6ojkMhWGv6Fi11sV7d20Y9IwPSsamxDAWcv8Jz/xS8NJ25+Gm6CVrFb32Pv1y8Z3Kq4M8RAyS6xY+gYmkmwPhsAzsy2N5OroZX3nAex/gfkqWQ9MCIU8cP3jJ8vw5l+VAXGaku3tSTInlsHiP5upmH9i27QoVcQ8FDz4OHWmP2Zs+BpyrVtwevfwoxhUZ9njE4zc6hv+PvRsDUM+adEg5+YxXBtNggEVHuNozuLiXk8NwZT2fr2KPjJLYj8KuGWVg9Hj0EbQq+4lTL/N2zusyTdQyjHjGF+aySWG8Zx2OVGbdifIaCOrZYu967ffZKP+CuTSQxCEx1ZUwnONR9SnleH+M8+xqJ3bdXPZsm5HNSowDz9ev/bw9KxUzei1gzTPG/Xx1HzJ0dV6tqH/fW3MICD7xViAkN3s25UoFyzn7uek+Zd2hIH14Uu46Ibu/R0qJPE9XFZOUJrZxbgHm08k9feXxUtmJ/fI1FKzvA9xP0xLv8dy8fMly+4zD82c8fDqzPTwQYqBHxyHtJc8uaaSqbNt2pWyxB5AQ0GZXOhQ8Anp38rvyOMq/9u5lZE7sGdSjPM6yLIjB3f3dyEQeyeD779+9IXb5w6u2xXhNhy94xqQ7CLk7tCWMxj7jtXeRnj0z2cfIex9OGRAGfTyKvJtO7wolexA0N1TxQOG80B7EcYbahw2jYl2uUA3AvVeHMokMV6xJgsNSeiftGec4ri99DVmq/f3sf6oaQdVB3N285B0/32t7xDWqT5WdZqZXLbkYdmNq72+GKwtExmBksDMG7Gbvle4S5nFk2HG8Tf8cgwuEigz2hgOL41BAiSkzHw4ufTVWvjlc4TLeixzZ29dUq74PcD81a8iYS+D47BnHZ88oz56xHI/Uu3fElGlS6MNkJMaIpkSvxS9As+vkdCdL7+UeTwLMPtFE9gxo9OVGY/xLR2SPN6UfoauTDCLmly9i2V/36Y08hCoZ0zh/MYShVGE7S+IRc2LolzPNGIghsswH+v2Dl2qCA4jpw/FrgFNl4NBGBma7MvGO1wPoO1dyGMcUQdtOMJdrUDJ1EU6v2ANa3bnKtKGlYnUAjs2QqylOuAaWnR5lI7iFEK6y8iZ+PjxY6fh8nEpmfQR7kas6sckuSb/7tubr5HoXO7gOSUQGQNvPsw9mwuiHNtrZWwE558fX3zeS4HQzUiKl0Td84qOaUmSeD/QnQN/peMTiT8765X2A+6lYxmMcEsJ85PDBS97cHIi3N6S3M/0yoZwpdUzlYoLgctN7XwvwMuc61XQfTes+PQx7BnTNgobQpNML2C92L/lkJDDhmnmZCed19Z8Z01nPKL2ZbXt53MeQwfz3OLBOiaNfhzafMqr7d8rIRJr2x8xyBMQooHS2bfXfYTYsE+VxyNAVwQjJ6Vy9NtLAdTHUhAlcM96unUBFQmdKwlYYbUc/zj0b2yeqEgUxpZeC0q+8TEZpaH2Ui+M1JPg572MgwS5AGQKScBXebgMH56bLO/Yt7gFlTJR9nuJ6eagrGu9Qxm4uvbSX5mYDJjR6cDllmg0jGhvTaHDhU9SD95jCxOGFqur6gOD+tnkQ8JsZhEixhuSnQ4YjO2/BTb659m0fw+BXt94HuJ+i5SYiXqbefvwRnxwPTLenKzc1DFu5IG6p5wbKYfSl5NoDedIOuWZtV9WL4BSism0u8WXeXUsx0bU5bWuHVVwnY6PEwq5SOYL30gg7gHbcx54IXW9OG4324C/kgWhkJdcEUEczfgwpHocSY/qnRunFwas8mYwGBkTCA5zSRhCwK3AVGc5R0aEhrbkk+zRlcopojFcRUAlO2wrm2ZSMMtVjWffjEc+grUPr1bOfsA8rOiG5VWLV5qwRBFrw8yyKBSONYNjNPR9kDAP2YNZ7Z7eBlOAZrHYwbS4U0Copud6dXqExj9Nkd0g01stlcHj35zjGL4pDZ1xteSfDxJHJOf8Uic5aHeRZ68p0OFAx5mW6XrNh8GZ/tCI1vp71k8sd36/f1dovEAtAFG4+eMnh+TPisjAdj8Qh1xN2i74QrpLk+5buJe7jpXYF3zLi3172MYjb4x9STlflCR9SjB8IT/4cvRkTL932L+DLjl7jRzDvx+0IeOMxc0w5+0DhWkY+KYNHlrVPgfff673G0bTfxx3jucbj5jAOlZ0v/jjV5TqIcfzdMMlJA/vGmM6Kl7Ah7HJR4YozDCPYXIOwOZ8z5XTFD9ZW6daZD7PT7ZCr3eAuZYU8bgZ7X20XUrjaHu7l7BhSyJVX7GXp1QDIdg5vfzKx9tVVvzSR3rNE192L12wzDg6qjNaHv+fHFsY+sIkp0Q1unj17vHBD5PEqsx/586tf7zO4n5Y1MhIzD3LhMPHyF77N69/6LebTLdvbO2TKJFPaBmbVVVqblxMSnsAx9ggD/m+yexn4DfTosOWlcW0NKTvTYMAvZIeN7ImBP3dU0Xs7zXt9cA2s1/8LA8qgBHFrujgmu8s800NAa33EX4276XpTj2Bte2DTfeDgHaUQngYyN8GW+GiWLQBi1/eio6+lAyQbkw8zrkDj3VTbR6owGu6MoH+1TNzFQ8eE8eqAFQIqkHIa/qA4GFiMnZ8bUiRn75f2wWrw7NbP516Wu/m181V1wEi67Z+rP2//9/2z1u7nBPZhjmewvj/tQw4/V/uGeMU5mpv7tK7urKbqHFkZx2TGfDhSDaZl4fTyw8frVnbgi1w/Q56EvK96vQ9w3/Rle+9i7MQyyrIQeP7tb3H70Ydsn71GDgv2LiLTTDTXZpOhieZN/4HB2gPXWDt/VWBAIYaiLe5433X4FNR2zZ4cRzUOjsd+2tP1tDSIMRIGNerphW3jOBFXHnFc3hhC7FCKHfd1ncX6z4S9PMVxaMH8RpVxM+3feQAfpZwE9PH+HdnqPmzBvUBVqL1yvpyRBMfpQAjiZjvq/TYE76eFQIiPAc1sUL/2vqQ8bgopJ7ZW3U90SnTraNvfj4sIBHEVk9LLUDVmMA8eJeb3gVEM8eo5YTJQh1e4iQcqp5ft0vLjuJ+0FXKI1xagiFx7nFyfwZc2It+8xG0jOzBMZEJMpHnBYuT2ww+ZXzzN4GR8Lo9L+PpKx/cB7qdhyWhWjUmqil9+8+2Jn/vVP8j51VvO794S3r6GrRBsoncjJQeY9lYQ4sBx4dmA7OXqAAGvK711pmm6GigDXnoO6tbeH5MnoE3gChl5ulRAhrTRjt8K156bPPYTB1wFPBjEELhcLoiai3eIXHFv+2v5c+0aWLyf5sMDEYb5zGPQsdEr6uqYPxkyQjLoGBLELQGD98EIcNkuLDfT0GgLQ0BzlOPmJWqeksNznK3vk2t2hoai1T1SvXRT8jwxzTNEz8B6dQVdd6bKPhjQxyl4V8e0MUrn/T2llK6Bc7TTrh+HG+7wpXMWhtTH/jk5qDleryfgSmN77I96P7Wbjd6euVwTPm1NyVsW03wgHA+EaSIdD946+eDlkyvhybbzpHCQrwnp+z7AfdOX+HRyL6ei8RhMYuTlr/4BPvnOdzl88Yr5i89ZVZlionQlsAAOSYjReZVijvr3RrmhrV4v+L38dBy/XOWOwG+YKHsvyxyMy46lelxXcj/AKN0wrn2tp5i4R3FMvtwzG9lP36Eb19p3L4fFNd5GoAwMyGjcpxiu1LuXX2mUm6Ydif6+EJimPRBCNJchChnmZaERmJfZVU4wlybHs7yhg+mwiu4Z5TSEL7vplRIXcv7/t/fmUZLlV33n5/6W9yIil8raeqveF6m7tYGQhWTwQQiMQGBgLLBZxmZssI99YIzH9jHm+NjjZcYDnhkDthlsDB4DgxECc0DIwoDQggAhJCEhi00SAiGB0NZrVWbEe79l/rj39yKyugChpbs6O+45WZUZERn5XizfuMv3fr9UKkMe8cFrjzQIQ0lUpyWplqdaamq/TxU+SqiklWZy2lNVQcopA3P22FQ1jta1L+MfS+u5NRvJde+1EbDbh1QQNeGmiZeij3ulYE6OVNNJansW4j0uRPrZjH4xJwWPn8/odneZnz5gfnCw8YJgXZ1OL4xHL7YA97iIdXNWEHvSVJY7LuYcXLiBB37/95nv7TIcHlHGpFmJc/TdjJQz1KJChI1DZffYvBqqZQTZXK3aXunUgadlS87Io2s5Iqt91oThun7z0bK1jTJlMr4RiM4dKyinniACUjZKrnUjfJ2ytC+N5kyvAwBNDJXeYCWpuX5FE8n0nWZNtXHn7Ljmu3Nct0PfRS49eKg1rX0g6DpX2QBcPZbmGNZ6g8H7Sd7bSaGMhSwQfae/b8ei4FRVgy+rOm42Dtxm1a8epuHYwKY9liosoHuwm4Y+qvShU/QYo24/lCYqsJZgdwBmO5nMv6LmrIKlVaaFex1aOQiR0Hd0i4X6LDhP9YHZ/j6z/X1k3m8e+GWY9mgWqFuAe9xENXBre4xVlK+Er5y58QLvf/vbSfv7pKMVlz58H4hTn4DOMStacuZxVO0wy5L0fvUlN3mI2hQRGvWhyS9pKeVlPbk8TvJdbz60I27g6L2nC5Fq00JpWV4rlaa1pzY9rFYqtQxw3edqfcD2+2K3c6hCSSl5mnK2x81PJav6jMa+U4CLnlp1jardZ04jPjhiH1gOK1bDSh2yqkw8rgZupWQtT0WoSYnUse8MTIRSRpUyqmJzYl10Z4PcG2NkGAfNFMdCT1RNuGrabzpdmKaowzBMvwuaqanIgDs2IQeltIgNZo4/ZjJZAR4v/1nLnlv/E3G2cO+UM+kDRDO46aL5Qzh817F/+oCwmOHnczZj8geR1k9eg960FvgJii3APS6iferJlO5PpZv3zE+d4uC66zj63feyd+qA5cOXVPywZkoRJEZ8SjjRT1u8GfaWomKPjVUv1VQ4dHLXxCIbVDhE3+j296uTtmAwHaaU1sSx42xvqOkCkyVvWVu1/ltr/og6bnlk8joVQfll4izbaJPZ9jhYNuJMX406sfWrlV7eO0QCSCV0wQxQ6nQ8pVRdwneVkYwkx9HDR9SxIi3b8V59TLFy2h6Jar3EQiWICl+mMetQxWm/TcVJo5JovbAaRlaXlpRl28fVEyrJVreKbSpQJjOXcVypb6wTSrW1KYzU7FqG6xnGcWOgYBlm2w12je/oJwBLJemCfG2UnGq9RANC60HiPC4GXIxqIi4qTS/e0e/MmR8c4GYLZnsbQwY4DmD2sD9asQW4x0PIZoGHZmDTJ5/g+p69a67h90LEz+Z0iwVHw4oavC4fJAUK79WIpG0gYG+QTNNWKxN4xRiR4ijjoNneZVVhaRLjdlhT583SnM0VsFIKQ1FdtLLxN6isuXKVNV/POufabnO2SKQAnJXtihdBnEdNoSvV6eI4FKNJ2BtftAz0wRHnna4uYWRf75XA65lUPnIpjFmljchik00P1awOrUwVASkKnIBOZ71yyHKb/hrw1Kp+syFEbdyPSmshV1XdFcgUFQyo7UNEKI2yM1FRdLCiU+tMDD2+iooruJbdOnx1et82YQa0TeGMsCyNfO1MF9AED8Qr4doJecykqllxc1NzISjIhTD5f1QqPnbMT+3T7e4SFjvEDUXfBrzHX88f3dvgo4ktwD3Oo2X/e2fOsDh3hgeOjpgtFuRLl5Ck7HofKkMq+BjIacAsmKaMyXgCU/mXSyYQ1aA4m+N5GwbYRM+hYNVkg5ozE1Si9/Rdx2p5ZAfZpnLrabClVxtGNW0+sEEPwWk5u9GykY2+YLXRnImMtD8FWFkcjeFfDfRSmmgxuWTKmOlnHV0fGZM24131xE7fvCqXBFOmNubpOBofT8Rrb8yJgazgoiPGXjPCXCYQTKav1toByo1b7xGUqRSFNKbJkLl9mDWKSBtAxthZ+S6UmtcTSnG4xnu0HqZ+ePnp+cOeyzbdLLUQu44uBI5s8NReGrUWOt/ZNFklzhGnHrTimO/ucur8OeLugn5vBzfb6ME9xrEFuMdBXP6Bt5nht0/I+elTXHvn7TzwoQ9D3xP7OS5X0rDCdSprXXPBG1GToqbN3jnd5DIQUUXfauYobmpAbzaLnTiCF8bcMgomcGxNd5D1zqQTJdhe3gdq59OGDrVO5jWbGevE1m8lqvFNSingnJaFrEG2bRd455Ga8SEQo0fNhpUY7GzP0nshRjVQFu+YBU/XR0gFF50Z2xScNEcpVD2ERo5ek2k1OyzM+7lKdOek01GTpcorna5mCjF2eBfIXrPJBurjOJJzYRwGqHUiCzfLQe/VC1cfWx0WeO9N7nz9IbMpVd8Asm2itJ5kqcKQ0/RciQ1LtBer/Mk2cfUxqqBqjMQYrWR1uC6yd+4ce2fP4WYz4u4uEuJH9Tr/RMR2VetxGtPYv5Wrfcf5O27j4IbrkFmPn83wXa9lnA+4oO5LXT/HtTeNtzcoa9BpPKt231TdKfUTAnKM6nF5OPNNXa2W07Fdnl21cmo6B1jXrAZmujLFsXMsRb05tS9nUz3054rubrZVo/ZmFhEz5gl455jPZ3Qx4L2KQeoCflZpcSszxSkIVQ/VC64LSPBK67CVNOd1qtl6hi0rLXXd6+rmM6pzrMaBlDIpZXIuSBGdnIrSLVw7Pu/JSQcJThTU2jZDW5GKMeIkEEOvhOycp35bjHEC98ujzRI2gW82m00WjKUUDo8OOTxa0vW9OYNpZu98IMQO8YEQow4eXMD1M/q9U+yeO0d3ah+Zzwi7C3Ufu0pim8E9DmMT3KYGrgizM6e59vbbufj+D7E6GpCUSWlgHApxNieNCfEmSpgO8T6shTFFcE6NVhrVYfOr5kRKhdhFSlZAeERqaelcLcqhCn49YJjuS2+4PgdBybIm6dOkz4P3uAqlZiUNW2k6HU9dTwa1R2SMeeszefMLBfUg8A6819/TP93khAqMdV06ooOHKloKZinM+46aoJZkRGeoaV0+qj5a1L6ZrPdnY4ykGMi0IUmcMi/nnIoZWNPfiW6RDHkgOG+Zk3Uyaz0mp9SmqW3ntIFzFQXNFi3b000OBeb2uIgIR0dHtGyvmGmM896czIpNZtXnI/YdiAfvwTn6nR1K3zE7d5a4t6fgtrPQ/tuj2GP74+Lqgdpt/OFRN742ohFlEXN6jx3nb76JU9ddh8xnyHwGfad8udmMrpmBOMHHoCWq98QYrL+jTZdm3FuLrkS1FEk9Ehz9bDZlCQ1kJ/BqnCmO00iu9KoXUUf2vHFitVbzPoD9vT12dnZo7PxGldBeVZssY8rAOvkbU2I1DKxWKyu3VEoopaQl4GpktRwBldrWgYT2s5wPJDNodt6BF0LfU70jgzbZzUawCio1RBs6aEYZo/Yuh9VAGkbdkRWhjx0inpxNmNK8T52ZT6cxk7N6MHgf8S7gJBBCnIRKvY/krGVsSmniuo32fWtXXC4AcPnj38pWZ4OL1g9sv9OmR847xAdi3xO6Hgk6QMF7pOuIe7v0+3uE3R3oevq9PVzfTRSkqyG2GdzjLVqL6xEhZBFmZ85w/a238PAHPsADh5eQWQ+rFblUnaJ6r/Z2pSMHm5KZWm41qAlBGfPJ9k83JZVKKcdK2M1idSL0NmrHRH9wmkVc4agnTp2dVlsCK6Vw8eLFyV8Akem64+GoNU8rYM2jIaG2fMEbkBadXura1sSco1K1dKxqEF2oU1ko3hO7XhV8xWgkpag5jMkjKT3F3N+9TmxDEGLwpCYWkAvDkAB1MivFeoxG9lXumer2NUURVYPRvqb3qrqb0jhlc40IrMv4zkDQ2RZCnUraTBPrrJPSs/dB+4WbKi9OtLVZLGs2+oePgdD1+twbt9F3HTV4wmxGv7dPv7eH9D07B6dN0eTqAbhtBncComIEW3tTnr1wgbM3XE/c20H6TrMQXQdQ2zrjNoWgfamWhTVgA9TYWFRoMied0HnvGceRw6OjqVm9OZGbiLctszwWG0MDGwhM8kB2tVjPp5GaU0rrjG6job95/xVruG8cQ8tGtMfYAHp9H86oKDmrnWCMHc55aoVxTORc6PoZ850FsVOPAec84oJRK45LNdZG3hX1IF2uVqxWg9I8xsSwXE0fDN55k12vk2aTUkjC9Jh606BrUk5TRr1BDZoG0hvnXU0YoT2ul289bA4c2vfBvDzEwBor98XrlL1RVFbDQCmFOOtxXcB1HfPdfXYPThPnc3ZOHRDmi+O8yKsgtgB3AmKDngbeE8+d4cwtN7M4exaJHXE208avd/a/p3rBd1EFGL3X3lyvpsVDzmoM7GQqw1oDve2rgpasQRxB3DSIaNphWjZrfldEv6opwSrFVxSQMdKvLeQ3E4hcUe5/tV7U5lDFTro23pwIDmfeAXafTSvJecZaqD7gux6ipwalZxQyuSSQOmU28/mcEAPVq6gBXm0CR9sg0CED9ncrOJ22VhJCJTqPr47eB1U4qdVsDO2rbUzkTJVMDYXsM0VUaFMchGD6azQ/V+uzWRnsvbnR+2CZlYAEUoEhJd0fLXVSmHeW/VZVxYRazLFLOYld8CoL5UyBZBruMO0o51pxMdLN59D1dLs77J45jV8sqLM589OnIHjz1716Mrhtifp4iD/i9aKkAJV/bk166XvO3nYr133oPlYPPsyYK2m1ZEwjLkbCrJAAqQWxF2UDIoKn5MJQzVne6eBAxJtYpEzN7UYNcdImm6ypIiZRNE1drYemMkfWKxJh1qv2/5DX92djQV0DYl226v3r7xbrIVXqJBEudQ1sqvKRqM7pWlbfEWYdHk+uCUTNaBSMK23VycVA6ANZqiqupBGRSq4ZJ0EfIwNZ8U10DkrKk5R3NMOZMppRTSMd23PWykMvhdAHvHiOxoGURzz6IdEGFYU1565WIVmJi3hd8u96E6PUY2h8n7bALzbdVR6c0+GNqKvZtAkh9jg7R8LMoJ0jhkAMHblUQheZ7+4iXUe3u8uZa6/F7+qgYe+a83Sn9rU3tzEdvxpiC3AnIBrITa5SUugPTnHLPU/m6P77+MBqSUkDZRyMxKvOTKPZ3IlXQm0ak1ET2qc9a9CxT/PFbMbh0aE24yeVXmPeb5RDsKEeYmBYUCrHVGZSp+8nlYzL3hyVqmRWUOKv2BS0rtVHpuyVVp56QvRIdaQ82ps9k8bBVnEL4ishRGJn61e6P8ZyGPBkxHvGYSQUr5Z7uZCBkus0TAkh4L2zvlvA+2CL75XVatRtgFx0simaHbWy1HvViMMbGJofAhVyyngjGU8CnD6YArK50ZaMOKHve2otjGmYrBWnqWhjgYP+fafmMFSTIxchVcD0/9pNnSI/EnsFreDpd3fpd3ZwszkHp89w6uw5HvLCwdnT7F9/rXqftqfu2HDpsY0twJ2gaCYySiAT+vNnOH/7LTz4wQ+QV0v84YxhuURCIPYzasoUn/ExUpNSSFxRtYzWtJei/TKHvuFi6Ah+hUsmUT7xqhToNuWSvNMG+NBMjUWb6pk67TEeLo9s7UrTQJnk1a/8PnFNYrxWk46yN6ZgPaVAjAEodCEgI1RlGSO5bR/o+UzUE+coFJ0QOsG5YJseeerniQepQvCmImxDAh8DeRhxLlCrUlLUOLlAVj/YGCMuGpeOig9a6mOla0lFqSEGdm3yOqZktrQyAda0ewpgOn2rYbmBLUYpMRvDbNsm4nQLYkwZyDjnyVXFK6uofqUUpcb4oOcvyq2h39mhXyyQEOh3doj9jKOccQen2L9wHXF/V9sfV0/iNsW2B3eCYqJuoL0nt5hx7rZb2L/+OsLunrLMuw4JkTCfIzGq1phXGe1uNpvIs+uVHkWPBlAPP/yw7ktO1JD15PJYd7mqVFEfI96yhmkH0jKLphxyPO9bDw8Kbb1LJrCbpoYmiaT9Pz3OiurAheDJJSNB6LqgjXybaqZxVP241pQvOo1MWSeHwUe6fkYplcViQewizgne63K7C0oEFm+0kK7Tnl07F5MuUkx1CEr7cN6r70Kt+OiJfaAUVQIZVitr8gshRgXcst7MaPZ/TaxTpNJ13ZTtelmD5fQacMJYdO8216KPhzQFksqqgSdCEc3sShWqqYdI1J5lnM/wfQ8xULuoEkl9zxA8Z2+6icU152HWqfDCVYhwW4A7aWFAkIEs0J0+4Lo7byfs7+HmC7qdXcYKEgOui9qD895Mjx3eGtz6cyD2EWyS56P2oCqWSVmW5+yNU0vRPpCJZKaUuHTp0rFVrJYRTcq8bE5g5dht9TwKY8nT9sIEkBWzu6s40b3VinDp6JCHL140KaOiGch8Ri5JDVuM95WT6rDllPUgii6bh9CRx0IXe83cnK1iOUglkUp6xDTSO8fqaMlqtaIk5bhRTUjACS56hpIhOKqvEITiqpr5mIFyo4DkUtQ7QpR354KnUPDR40OcwG65XCqdo2TdgLCNhskHdVqba9NTSEbAxjt86JQixHoKXwAfIj5GzWCDeqASPMQGbh0ym7F77TWcunAd3ak9XdtqH02toXeVxLZEPUnR2lrWpy/i8F3k3K23cvp338vRQw/RDXscHh6xWg24rlf+VfC4rA3iGDuKaZuNadTXqvVugg+4qkvrsO7PdV1HLoXlajmtSNWqfR3NOtb9Ndk4VM261hxmgWniKGY36JxXKaLaLAkrTWjbObGWlkxm0KVUUqm46kgpKSet80q6reC8kntjpzuVWQoUIbioWw1FiLOeKqqwm8aVlqF5pIhllJa1jsPAEQqYag6NyRzpuYWg0+nZvCdKpLrKMArjMOALk2hBK5NTynjRLY6CZmHiHVRV8gjGXyvFbAsBbHe4UFnvxbLOpssaiFvvD+fp+p5LR0t77M3a0OtARjcWtGfnYoSu09W/+Ry/s6A/fcD+9dcyO3MG6TrqZp5Um5bf1RHbDO4ERJueNm9imokzjixC3N/jxic9idnBAXE2Y/fgFDU0EUPbVfUq5dMoED4oIz3lTBVhzIlhHJUcWtelUONaOe/oOhV7nPpA1jMqG9nEBMCNNiHHCcON4KrZhYGjU0u8plamckRlAgZptlPt8TAfhiZ6WawhX8UzjIUxF0qFlKpKFBUoYyHgcdWRh8Q4DJRcWC6Xml1JpZtFdg/2tLy1ft60sVArUrRPpwYyKok+3+kJfYAgxFmHj+or64KfemRNNMB5VSapYnLm5t3Q9R1d1+lw2beleSZC9JBGk0APG1sPjr7v6bpOaSU2PfXO2gaWRTf7P+e9SqWjpW211gXBE/qebmdBmM/odndYnD/Hzrmz+J25DiPAeodXFwcOthnciYlGsBTrd1H0g7jgqC5z5qYL3HLnnfzW/Q8wS5m0XLJKDyLBw6AZQqWoqbwoqLgQJhZ8W03SXpqSZLE+Xc6ZaiVSjNEIukz7nTYTmCgfRqtT8NOZYIM3wJRuu057RzmjjDAt+cy0UH+vYaQNKVy1jQmx6atg4KdrTBJ0IyA4/b9WnYqOo2arsetYLgfiLOL7SHLmVVoLwTtC7OhnM8pSpZZiCOvpJ6q5N5kiSGUYl2RfiLUn5ZEy6nHMFjOKbWhoxqllcq0wZB2INCGEOolmZi2r2+eEZZLFMjgXm9pJUw4JmgnmwjiOkw5f8A6hcunSRaCuDWy8rEtN0XN1Iah6yKwnznpC37F7cJpT117L/PQBhKCvucmay1oHcvVkTluAOyEhm9/YbMA1mocL+MWcG+55Mu9/z7t54L2J2c4OMqwYjw5J0VtlIzAWxGftSVWPcwpeTtp+adkgpQHOmcqs+jmovZxMmQEwjUPFwLLdl05LZTrsBngpQzo6VP00ywSpOk2stmZVUdpGU4cNk1WOgvx6cwEQx7Ba4WtUgQHnGvOYtDKxx+opCVxweDwyVPW2SEJtJWKM4IVupyenRPSBmlTOfNRtfO1xGbhWhN53KtuElqBQ1WUrD0oJycpPUxf7Qs1ZBxu2rSEiSlGpVdWAXaXUpB8uXp2xvCnG6KealqHeqD8l5+nTT8SRUqFKNckrR8KsD50qo1QHXd8jnUqT9zs79Lt7uNmcfn+fnWvOM7/2GtzePri47i3YkyjSqoerI7YAdwKigcUa5KzsmF54ahYyv+48Nz/tXi49+BD50kXibEboIil1FEnU6qg+U10Cl5Dqphet/p1Ks82r9ubLKW34O8hUngIGkmKcNb1IpcOxNx42IMAGFXXdk9sYNkgDTLeWd4JWlsvE/2tWdA2sS6nMF+ZrmiqkluEKgqcmYVglKmqJpxsDaufnxem0dQQk0nUzYh9YjStSGam+GndMjCGtQFGophwSUOaeJw8ZkpKFu74D0b3hrovkNEwKwC2z9TYprtQ1Udh7VSqpMOY0gbeIEF2kVl3GR1QDsJjqsU6Jq92ffjiUqpNU54MBlMOFqCDqHS7q4Cn0PWE2p9vdRXZ2mJ85y+Laa/AHpyB29jqTNminfUw9mpLkf1xsAe6EhDzim81v7YUXI9fefgf3/977ec/DD1OWK+JsRh4TuVSKr+Rg/KfswKgFVar1nUV3HcuaH5bz2ix483+HrjKtP+Cr6ZlZKVzyZdmWTEML7xz9fGb9L1XhDd5PZY825wWRdWai3jgyEWnBvEltouu9p/l3pbxhFmNuY33fszQNu5S1p5iKZlcpKym6WnNTUG5bXhUcjmIKIc55ddCqMr3fV8slq2FJIiNdICw8QxqJzpMH5cx5MXAsxR4bzcRaia6qvcrfm5SE0RLbe+1BRq/mNc3IWknXG0bQTqfEbaNkonQ485W1nmc3m+F9wMee2XyHxc4us91d8mLB3jXnmR+cot9dGO+tgdvGK+1qmjCwBbgnTghU5+hOH3DzU+/l/vf9AQ8eroj9nLIaSaWSrBfjQiAAYz5UJ6Va8aKrO2kcqaP1zS6jIjT6RzGTFmd2exTdPii1MOYENnhwzvZHgbai1Xh1eUyauYhMLl96Mx0QTMYsNZO1zYYXPU4tpVUlJI1ZQSMXogSlhQjTeYEC2XK51I2EXmWjcq6qZJITTpROUsjgIKD0ipQTpQg5WX9MmjJvoYiaxVDQtS/thpLHRBo1a2wZbsmFcTUSXJhWrDKZlEYoECalEftgmCYMdT1oyIP168T05oQxrdsFFZvUWu/PmViniEzfx9gRuhkuRGLsiN2M2XzBWCt7Z87QnTlFd/a0KtQcA7HNOvXqii3APUGiGiUjOWH/wg3ceM/drB66yHjxImG1gpypNeGSxyVHrUoxKRVqymoObLpjukta19I+G6tWm5sNrmUQMGUOKSnAAZOZtGYaZbqvUgqr1WoCzSkDtPK05IxDG+qlqCuWLqZr9umcadd5GEe1Pmxu922tyjlPypkxJ2IMrJ311pyx6KMCW63qMI+Ax9a4kjmS1UlTDcpkTKPcY93zdWj/0ImjpIrDMaaB4DuKoAY3AZzJNzVVFgyc1MRatPdWGvFZS16f9bxmszmr1ZJxHIBKrc4UW8pkrqOilvrh4Jwni269uODJtTAz/psLEd/3+L4n+UDY2aM/d4bZuXOEU/vTfrIOezCTnFaXXl1AtwW4J1AocyTgFp4Ldz+Zhz74YR6+7z5ktSTUgnhYjQMSAyVlpY44XeHKYyHZrqO4Mrk1NUDaJOvaNRNoaWZXbLi7MTOdfFgVANZkj3VPr2nLOcvagg+6H2l8PGcKs216N+ZCRNfNVLqt6DYDjnHMdllF3PrY2gS0FHASmM1nClilIt0MJ5WUByXVFmEYB3KueBeUUW22hZvy7CLqUF9hbbKMDmJyNaUPJ7qHag+mE6fGNSIU0ctKqbioCiLJlEKaYTNgg4vCxYsPG/m4ScI706wDqi7Qr3dhHS4Gw0p9/lzXVGWM3BsjfmeB39th99pr6M+cYef668B6iK1fenXB2SNjC3BPoGhvilwr/bkz3HTvPXzo93+fB1bK9VqtDvFdp5SFUkl1ZVlcVVpDTpOjU2P5pymrO64zVutai2wySLnCMeluqlFJLs8CXcvgdPQgUrWElkjNmp1olqfy5qpKrNmmiooI5KqTw5ptqtz6fbaSVlGw8fr7JRflsolnORyZupd/YQAAPeZJREFU1lzF+Y4YhJxHxiFBXW9w6BBEwUunmAEJzVxZycgZJRcPw2Dlu6dmHSIIQnBh6peVkic+ImLZodcemnOmxJvrtAu8pqqgpG2nsuOt1zZNdu145osFRZzKnteiw4QYER+QGJFZj+wsyIsZ8/Pn6c+e5vSNFwg7u+CNGrI51Dr2IvuYXqIf99gC3BMkBLSBjzLkiYFzT7qDC+99L/nSJR4YlvhxyTiMuBDpZnr7VNSViqAacaCy/NXcpi6Xx5ms74CwAViqTmsTTGHK5qSq16l33jKDdXbQGtgO7a1puaby3zmtV5KKgZv3XjMVU9v1br17WXPS7LOa34KBY7GtiWjy7SWNDEcrxpQnIqzSLjR71KGEZnspV8tCvRrJkBDnTQU34LxjTLpBEUM0k5iixtPo9oUgROu9jYOKbQK664rKINWqNoIhBGYzHb4MSfXn2s6qN9qIF1FXrnG0zQ+vgxB7fkJQCfLDlYJbN5sR5zo0CF1HjZEw73G7c8LBHuHMPgc3XmDvuusgqpO9axOUjYx1/SK7umILcE+QmLKiokKWxTl8cFxz841cet/7GB56kDKsGI6W6vjkVem1hqD9p66oY5RlC8V2ImOMiIjKede1CU7TZvMty1vXbg1twe6nmcVIU9hoaaLtnoYQph3SGCOLnQXLwyXL5XINnlInCe42ZKgwOdBvyjOVUiGr3Z7+DTOfqUCqHA6HHB0tiV1HP+uNSKxikmlMqFyaqe6q6Ag5rWwbQIEtpYTb9IwohRg8MXbkgmq/advOBg2NyGskXxtQNMUQnayqFl8a81QOi6hAplQmbwhdpdv44GlDFRs2rExx2MdAnOnSfj+bQwiUGNXAeW+XuL/H7rmz6tQWTJihoVi9Ap5dhTXrFuCeSNFY7pi+vg+cvukmLn3oPo4evshqtaRbDQzlovKv0KXsrKqLuJCn0qdN39zUvE9GX7DyxUjGajMnjNloFjANKaCoYxbaF9I+VbVVq80VLkcIjlp06+DBBx9kHMap91dqplYhGWh6p/KfVUzSyTTUnK05tUa7eO2LKZ9M+WE1V2oRutAxjiM+OmKvtnk5ae9Ne2nFxAg6XBWOVksVLggeHORUGQcD/aAKvC5GyIXl4aEp+lqZ2wY3Xu0EcylIcujAubQFAXLJ1NUwacM10GuepqWoG84kHgwguhPbVucQVWyW4NVMJnZalsbAikI3071Tmc1YnD7NwQ3XE/Z3IWgGnY2ofcW4ysANtgD3hAkRk9o2BpSvSqwNOzucu+N27vvQh1geHbFarhiGFS4V3Ji1JxWirmKlTIxQhoFsPK00rHTZvGRbfre+UMmk6iirFeu/KtMmU2MQl5KUAlFV3lu5+Vr+CGKll3oGlGpaa0VtC3NKumcZggKYc1D99MbHKbertvUth5JYLavzPkyT2lIKaUx4HOOwokrb2NDyV6qClivetirKxB0bcqI6BeQxJ6SIOZZFhpR0MyAEVmMCy+ZcVR6Z895KdZ36Og+r1WjDB0y3rUz+FM174XiGykQP0RU2MRKy+lI0KSdnnh0J8DGo/2nXU2NkKJXaR+LOAr+YMz84zd6588zPnIUQVZ4dVW7BPhRoJN+rOLYA90SKK3T5iwiLc2e4/vZbWT70IBcfvJ/h4kOMy1F7bykRnEBJLFcrfAh4B3lVIFWoeZqLtpbMJGdeTIG2Nh2zRicQmoy5a7LmtVCKAqTbmMg6adNYHWq0HUwxKfJWMpVSJ45v29dsBNlG6K0Ziss085kqlimWSk6FnEwzzdyupuzIyVqGKFftZYqJCRhpuAlvtlaAt+w2ZVULViFMvQ8n3kxdmvsVjEO2cjTbsETdtEpZa8FdzjlcK7eYtLnUie7S+ocqa1XNO9ZZJhuYLXaYz+dU5xktC17s7Orle/vsnjnD/OAAt7OjyiL2rMFVj2nH4mrZid3GoxXrd79mdB6kC5y/4zb2b7yBvWuvYXHqFASVUfLBq+tTDCrvTSb2PWJmJNg0Vde0hH42U+ULNgyfve13sc7OsHJ24so1uaNa1/06+62csi6kb7D0a630tmpWUYkhQSkZDWlLLpRUph1YEHLGGvP2lWG1HBiGwTxSdSOBqiDiNywSlTispXE14rLuzupuqK5T6cR0zJlhHLUkHAZS0sX9cRxVgWNSYzFwNbGC3d1ddnZ27ByZ/C82J9KblJxmRKN0ZiFb2T891y0T9h4XAy5G+vmM+XzBbLYgW6Y4X+yyt3+K0M8J8wWzg1Ps33AdYd7rcyy2B3KlUfhVHNsM7okYG83gbA1+v7vgxnvv5tL99zM++CAXH3xYy9OcycNKuWbOUZxwNKx0Vad4bf5LNX9V43s5D2IbC5OGjmZTyodbk3phqgTXTXE7vnY51bJC720YoZPBGKOSWUnURvQVVfMt9rdAaRvBeZz5HNRqNJi2p+m8ZUvF9jSVDjPrZwienNZ2fEG8bgZYDyzGaN1EzeZq1UEIwJgyKSfm87mphijPbmdnh8NLl8B6eaAAmnPm6Gg1DWxahrtJqIYNL9k21HFaklabqppwFmJ+qSq5rpLoTTSgAkerQZWfY2Cxv4/r58hsQdw/xcFNN7Jz7TWq5DvlbDbVeBzFFuCecHEcRKplcuJg/9rz3PLUp7B64EH6D93HQ0dHxC5CzQSpjGNHTbq3CkzEUaluus+j5XKjr8VGWWylm+mVtYGENvw3yq2i09rWH/OsuXXKHzMyLCjw2ACh7WZO4CgKZuKs12ZlZqN6tHUyLQFHK/mCZVLOdOa88sNEHbIcOiUtqA+qeNVwWywWXLx4kbZ4HrvOwLJAZioxPY7iKkdHR7rF4ZxOrEUIIU4ZXq1MP6+GwXT1rPy3xy2XomWw8fQEXfnCYYMTWXubShMB0Mc6V5WojLFTI5ouILMZbmeXNJ+zc/217F+4Hre70A821h808jir+bYA94QLecR3FUcRCNFx5uabuPauu/jgBz/MQ/c/wGp4wIyIq6q3DqOx/AvVOc1apFWA5tTeyuBGGNM/AtYAN5dOfWNb36odi3OO6P0kiFlF16bCRiYTJ+WPZPxVlQpq5tZaEivYNGWMNplNpd1OLBtxKv2dC64kw0dTCrZeXQiO1IxlCpPckDhnWw1q3CO1MpvNECtLxUx3JlKwCCUlxjyomCTqzNV2TLHtj80eojF+26MD6GBiNo9WgRZyGsm19QHXVI5gACjOKQHY/B6qCLP5nNnOHh++eBE/nxN2dxmCJ54+4OCmm+jOnaV6T7Vnq31Q1cdZEvcR47GIeBF5s4i8zH6+TUReLyLvFJEfFJHOLu/t53fa9bd+go59G3/SaO+XFhWaTW/rocWdXW649x5uuvse5mfPUvuO7BzFqS6/dB3VB4o4K1tV4rr1lGBq/djflIn7Vm0S0TItBZKmM1enzQXvTZusrp2kspWE08aEDQIa41/x0GSHnA0KUN5XMWcpH6Nx1eLE66pOqSS52tYV6seaK6RSWQ0jlw6XrFaj9cJ0WqsKu8KYs01DdQ82FfVLOFouGZPKGukWyNT9pzZistE32pPTlE9As9NsiiANaIHpb/f9zMraooRhey69ZbkueFNDFqpXUGxg50KkivDQ4SHS9yzOnEZ25sipXW64+8mcuf0WmPWUhmTNiEOftivNqq7a+JMknF8P/PrGz98MfEut9U7gfuCr7fKvBu63y7/FbreNqyxs6j+ZOXvam8ixe+48T/6UT+aWJz2J2d4+xashcHUeCR0uqpOU837DlEWsGS2momv9Ndl057JowGUbDN64dDmr2shyuTSyqqmDGBm3Wkk9jiPjmKb7zjkriIEBrf19pzuYY0qTa1ZTKxanO6w61NDblbo2wVGAtUQym/SQkY1TKubNgDlzTYu5DOPIcrVS/1eULqJL7zp0UNctbMWqTB8GbeLZgL0BF8I0MW1fwzBw8eJFVquVio3KWnJKPyDW0udYGa30kbXa8WpUmfP5/h7Sd8hixvW338o1t96C25lTvSdX03ZrwAzTOt3jJT4igBORG4HPB77Lfhbg+cAP202+B/hi+/6L7Gfs+s8SeZw9Kic2NkUxmRr5nnWPpTrIpjjyKZ/5PG556lNgd49k7kohakO+mkmJj4EQApOEjwEdbl3iTZNTNgYJKFduNa4YjeMVgt5XK18xQrKrEJxSQqplQ6UU+r6n73oDWW9DCI/znlyUO5bMXwCnZFvEGdgVmyJvArRM55WrAmMuFR8iatxs9npFuHRxyaVLS3LRN71v5Z8ttpeslI1iwFmrGDDq6tiwGsmp4H1ERM22EZkMdlQWyoYFzXdC1kY7xTT52k6oPsasP7TQtbbY9UgXzehZs2MxDmCYzwi7O4T9fXavuZZzt93G7MK1MJtRLRts9ejlK3mPl/hIM7hvBf4+bTwDZ4EHaq3Jfn4vcMG+vwC8B8Cuf9BufyxE5K+LyBtF5I0f/OAHP7qj38afKNqksmUoE83ASsVGJKsOCJ6D22/lKc/7DK5/yr2Mi56VAwkgoVLNdYngkaAvfOdUQcNHzY5U5mfts9oimDVhkx1Xc2LtR7lWklmZ2bhwUlGDaGQS2UzJsiLbZzWRYPq+J8Y27WQyunZh7Q6PCLloGVilWq9OqE6X/3VLSh+nnFUEUw1ZCuNQSKtKyUKpjioBCRHEM44FqZ7gO2KnzvAFR8bhbCtkHBNHh0uWRwOr5UAaTdSSljnqZLrUvFYAcYILDnHVJsa6x+tsuKJUmYirmo07EWKI+K5jzEDsqT4iPtLP5oRZj9uZI/t7dNee59Stt7F36624/T1tRWAffALi7bWh44uTxYMTkS8APlBrfdPH8w/XWr+z1vqsWuuzzp8///G86238cSEbX4+4StZWdsFz4Z67+ZTnfQbX3XkHqe9IMVJjBz7YpoBQcZMm+SR4CVMZ19y6nJWz3WymIo6uGVXrGtJqNVg2V9aH2Zrm0+6lEGPg4OAA55x6kRr3LZfMOAysTJk3xIiPfhLiVNpGphEpnFfCrdjupwt+6tOFGHWDQnRf1XtvHDst72utpNGcxmw/V/dER2pVorP3yqdrJekmWbfRQJbL1ZS99n0/9bcm0xwaF65OmnbFRD+nDym34ZBmvTfnHM6H6UPAeU+YdbhZh9uZkec9dXcHOdhj/6YLXHPX7cQzpxHj/W1SeKZsX674krmq4yOZon4a8IUi8kJgBuwD3wYciEiwLO1G4Pfs9r8H3AS8V0QCcAr48Mf9yLfxcY+p2W+k2OocMuu59ZOejgue18WO333br0IGGbJmELbmFGKkAHlUL1W3wcIP3oM48jiqk/swGNDYsrrVBSlnA1f9ue2S6g9rkMgl88ADD0y9LxFdVldbPPVRbWtjalGqMuVCM2NWQ2nnlRoSYmAS4zSicRcCSNvK0KEAxWxx7BhqrZPk0dHhIcNyBahOXK06KEgpT8fZxAnaQKFYma6cwkyqlSEllUvCABiVgio1M5o0Fdns/pwOhtRLwYMTdnf3dDOjgnjPMCa6fobzjjDrCIs5dbFATu1TD/Y5e9cdXH/PPcwvXNDStHHrTkj8sQBXa/1G4BsBROR5wN+rtX6liPwQ8CXAi4GvAn7MfuWl9vPr7PpX1skUcxtXddizZC19dVinUrvIrc94Ovv7e7wq/ijvfuvbyFnfvELRbK5UU8eolJxs1Qnln6HN6tb0TiVP/LljSr61rhvtGOAay62Bni7yW1ZnWU2tlWBKJLWYdDiOIY9adhrXWHdFq5ZcuRLA7PT07+W6VhB23lNSZkgDlEL06gOx+ULWLEl/J42ZlIoKcqLlc6152iFtjf+u6xmGwbJK+zsV0mokl6ylsEmRN5OdrgvknBjHlf6eEXaVt1cnqo4LJlip6TOjiZb6bobrOkKvS/T+YJ96+jQHd9zOLZ/0DHZvvRV2d82xbB0nAeg+Fh7cNwAvFpH/DXgz8N12+XcD3yci7wTuA77sYzvEbTz6ofVIwTYd+h7JmbO33sanf97nUVYjH8iJ1WrFcHik60y5qBhjWBNptQxUmoR3biIIO9FszduKl3LnmKzyVKRRib2KmUWt8SxbBMDKOrBJLUV9GYLKGCmAaOkczIx6SEknq7kYoOl9paOjqdSrttpVPAzjiNRKdJ6UVV59WpuqEJ2fCMSNwJyLui+IU/UTMxVTgq5zLFeryafUtaa/TWzTMEwlLLaSJs6xXK40W8MUUCr4EG0iqx9EOKeXVUglM5aK72cqUBkCvp/jbUuhP3cN48EpLtxzD4vrboD5zNa75HFZhv5R8ScCuFrrq4FX2/fvAp59hdssgS/9OBzbNh7t0JRp6v2UjStaqXjuxht52p96Fq/53Xfjdy4yjiNpHPFScVS6qNmGmiIXhmGlPawuMuakZjKuTUjbFpf17zBzZxGYKBOtVN04zI1sztu0VX9HFT6moYlXwEypMI6DArYJRFaYbAYnbp33dLJ2rQ8+gG0cpDRObllVlFdWRcGtkKcMNIRI2ypoxNvpA8PAUSktuufaz+ZGIUkK7Lb+1Rbu06hzPCm6UjYt/1fNbAv6ATCLPaHrSKXoh1IMSN/hQ4freuh7WOwQDs6QFgvO3X47Z2+7XYcKzkD2E/Kiemxju8mwjSuETUWNeiAUyphYHV7i6KEHoItcd/PNHF66xOHFi2TvqEmVdynqMVqSOkc570lj0v5RrcoZtWxGJXza1LCZrqhxi7NsqALila+myiCYkbJO9Fwzd7aS2FYNVAHDwDqXgjivkuuNaAwblAztJQannLfovfLvokewkhumXlyQoNpoeWTMWbllTgEyoxQO5YjYXoSs+YBt97UW3VW9dHQEmJimZWNF1mYzJO0tKi3E02SnclF/CZwjuDhtLaSawTm6+Rz6GVk8tetgsUBOHZB2djh7y22cu+suumvOQ4yY/S2WIz6qr7RPdJxIgJtI9I+45Pilj7zlI3/zkbfduP6Kd1uPX1X/sHuvXOlY6sYtjis3GGt/Ap2W/fzRJUW97A//UY9JnY5BX+hSK74omfXo4iUuPfwQ93/4Qzx48SEWB6e4/uabGY6OeHC5Isug2VLJdLZKlWx6hxFtEVFXd+tLNSJvyxSrgKsmesmaNd+0z9r+Zt/P8CKMKy3palGdMuea2kWdMqo8ZqqpfTQwu/whmOSHxOHIVBOljF1H33eMo3Li+r5nsbenrljjwFhG5e5Fj/qWOnKu5FqQUjZTYIBJmNI7T6GQq5o4T/uktsTvg05xsUlwHtOGioibHksXVFwgBM34sl0eYiTOZqQQCTHS7+/hDk7hTx9w3ZPu4tQdt3Hujtth3lNMANTR1uW2AHd1xvQmXr+Am1OTXl207KEeQwaZ3taXvc2P/a691cSYsDwSKI6n903w5/jn4ebO5THA2iAHUKW11R95grXB4uZRNw6tnc8GolW0tFsDqj4meuvj59NQs2m7SfuVWhhXS1ZHOiUcx4z4QPWe+e4e11y4wHjpiEvjoGVZKVwaB4IAIeogwgVi8JrV1TJRH5qCRvtTU38NkFwmGkR7TFqpl2smZ+01OVFaSy4YGVaODQ70FNSrtHG51B9CybTB+2mBvNakDX4Tisw5c3h4RKXgvcMFZ+rBhTGNjGkkeIWGpnTsQlAy8LiyJ0s2ksuqngZOBwjBNiqaJFLLEJuRTIyROAssWWomiWobpZKJsWOx2EGcZxzTZCzjY2C+t4f0PSNCWCyQxRx36hTnnvxkztx1J+fvfRJud4diMkvuhIHaZpwYgFvjW52maNOSsIBuGirA1fbyr+sbKEYUu3zNz1on7RVqAjr7qa7/sFwOioU1BB6HwjWclQ1wsXuUgpip8Pp+2m1MIgd/DLRlWsbeALzpeMXuwQyCqceJj20pdLrHPJVA+t4s5DoypmGadsYQ8VEncvSRbmeXs9dfT0oDh/c/QCmJgCOpO7OVlLZnWUXtCJ2oH3RFzVpq04JTsnCpVUs8cbb0roRhNWQuXMpLnXSKw9WKFGVatCkoTpTPlRKCUwVdUb5eFRAxc2YK89mcrgvmKraiANEHYh9JaTQf1wIU+1n5cLkkU8sVVoPSN7wPRBeR4BmCmjlTVZW3Wo+rOCGLglmMASoMqwGz/NJjs3NPw2ginEIRq3jRrM6FwCoNNthQNRIXA93eDnF3wVAr+EiZzRjnc07ffjv7dz+J03fegds/BVH3V9oHhNSTVpxqnBiAa1HNGmONP+1N7DYyN32z6fUy/ZavLT9SMCwIScBXQUkC3vws9dO0wtTkrpUNQA2aSW3iE5ulal2D5uY1Vj5tQpoYULU0w1Woomz7QIEaLPNqWcsa7C7vqSgYluncpPrNVE3fjNNjos3rNKnJQpPgcT5AF6gxkLxqyZ265jylZB6+P6kjey1EaVwtoBTt+Xv1S5joHtaXqjVPy+YheHLK+BjIpZIFXClGoF0PGUrNRB+s/2TCj8YV8+bWnquSgPteJ4VjE6xslBRbVPeiXqti7l6r1cp2P3WTAerGBHWtsqvGNesBQCmVYRgnH9K2h1vRqa1yBh0hqPSSguAm98ytzXBqVdEATTinDx+Hx7nQGmeaWQZHXMzwiznJe0aE0s0I+/ucve02brj7yVxz1510pw8UMDdeeZuVy0mDuZMDcJdVetOTJqaVhTexGUMde9Ho+1s/MfU2eQIK/S3Qh8lAUsoEIh6Vwqlr5AJJZLwtr9fj079aqG0381gmpiewdizS+6+uUqubSoiGl+oZrBmgVBV7KKAALZZ12vduylQbMOg9FNz6CKSJUhr4oNleLirjfax0FEGCowRPsUld6Tx11tEfnGKVRi499BBNv62WjHeCSNC+VNWmve1LTOtQ2AdHRrcAqhPrqzFlNO2DocmaOwMDHwNdUC23hDbsZRj0WbKeVtd3ShNhTd51TsvBYRjWj3uF5XIJQNdFfPDW4N94qwhGhalru0IrUVer1XR/IXba+E+FECIlWyYsKtoJKEG5LdKLI4ZuWs6fhjHtyTPA6xcL2is8l4LESLe3Q5jPyMFTQ2QQj9vfZ+emC5y/+8mcvesOuoN9vT+3AWSbCfwJjJMDcGBPlL4QpKhGfZZKmN5OGm11yF5igAorJrDCVkuS1iObsigAqQZ/CgYTRrTb1KDJ1gRueeP4HOr9FNrBtuK4wad+X6E45aA5mPpojmKg5azXlo2cKQbfZfqdhvjr+3d2LmX9mt7I3tqnd+tdNRWJVppOvgv2VRQhIKiUUvUB6Xu6vT2GWlhdOmQYMnghG2BnNOPVzNc+ZEqd1DAK6suQsmajqzEzC4FEpfPOAKs5cbVVK08ze2n2hOJ0AjsJb9bKpUuXjNYxAtUa886AxBkQKdVFNeA8i50dUhooJeC9UKuq+qY8KlhW7aV5mDLVIY264F9Utty5AFVItW11OMQH06UzXDdKTQgmwZSSuX/pgnwzjWnP0TCqV62q8zq63QWu60k4sgQIkbB/msVNF7jxkz+Z65/xVOY3XEeNzXu2dWdkyoZPajzO9Dn/8BCqqcEyZVWb0i76hBYo1q5tu41l6szjDboSnoxDisPlxl9PFEaq9anaC6QC9y8zf+cb/wU/89LvhTrgDHyYPNvtGC2DETSbKwx2nw1A9E2Sm4NR1SXy73nJf+Nvfd3/wkP3vQMY1Nu0BjKmLmtlGDht5RQ9Y+0oauZDzUhRS7xWpMIIZHujSUMuqEZotaxk+r+uQc47r7ua3jTWzBbPxZ4wm+NmM1JwDE4YvLAEBickr5lfckIxeXPnAz5EI706PZ2iXVSxKWuuRT+wDGgL1kczVZBk601iS/ux6/CmTjKbzZjN54iY52jb4dRPInIuDIM9D1WzoiElDo8OVdPNOXLVqedyGFgNo4KQ97gQSDrhINc8qZckA7hUCiOFISdSLaRaSbXgYiR2vVJB0LW4sWYOhyUJ/XDDqRBpFiimvVfEk50jB08Onm5/j36xiws9NfT43X3m569l7+ZbuP6pT+XGZz2Txc03UmxiWoSND257Xa7btycuTk4GZz2iqRslG1lRI0TZMEAq1nSuGBpZImf9HpoOFpYQWskqdbqr1i8TwHeed/3BB3jbG97LZ37+ixDXacNcjmf/rcNWpj5hywBNzbUZBQOuWs9KKs98xpM4txjp5zt2Hu189f5orbV2d1PPRn8/FfDeIdl6OjiEjJAtPYxMg4V2pHXjq4VsfGOKHyF2hNjj4wofelw34Mc5Mdu6FEeMg+qj5aw9OFeEMg6E4HAFShVicJQMpKyijLXixE+APNaCK2IOViZlXtdv06nSrfpREZz21WqtrMZhomLQNhZEP1RUvsj6f/aaURqdcDRqmSv2HIllnblUnSQ7R8GBF1Ypm3GNDkWq14wtF5VJF3GIB0xZVxWA9aDblgMiiFepcpVa97rxECNOHDnrRgcxUvsO6XvyfMZSHISe+bmzdNdcw/y667j+KU/hhmc+g3jNWVJQ+adgi74yvYYvr05PXr16cgDuspJshfDGN76JX37VK3j2cz+DX377O9iLhTjb477fezfP/czn84u//FZW9/0+z3r2s3nmMz6F//zil3L/xT/gec+5h2d96p+h+l2WCL/8ll/lda94OS7s8Be+8HP5pTe9lXe953e448IeL3jhF/KDL30tH/r93+Zn33Mfn/mb7+Btb3kH7/3A7/PMp97I8573/ClN/r3feQfvWTle+5M/zl133MnF+x7mAx98H94VvvSLv4jTN9zEj77slbzvt38dfOALP/ezuPPuu6hS+NCHP8CwXBHmngdXmR/+ru/j2Z/2JJ7y1E8mSceb3/IrvPaVr0Jq5lOeehfP+ewXEjy8+wMP8ZIf+AG6suSa6w744j//54jxHEe58OLv/l5On1vwoi/7chRkC5VuY+awbmpOpamBhPMesTLJdWoeTIy4rsfljKuFgCrjNqepUlXEMjiQ4BXfHeQxsxy1V1ejR1Ib8uhSu3eW4VofbsyaqVdng6O6zsyKgfKYMtQ0KZsAJs7UFudVKmntsGUlrShA1mpOVxRC0GaGt0ln04UbSts5td8PEUpVN62KKueanlzsOlJRUjCimdThasUqmR+EaPOgOAV8lSjS771XLTsP4Lw+3n2PzHtSFyF0LM6eR86eZX7rLdz1nE/lzJ13IYu5PkaijRfX8OvYB2R7di8j7Z2QOEEA10LTmaMC/+/3vZjlO9/Cm371t3nZj/80n/Ss23jzm3+Lv/1Vn8Nrf6HjO/7Nd/NN//zv8c/+j2/lr7zo+bzlTe/ms774s/gn//Rb+Yd/b8Vzn/8Cit/hnb/7HvCe97zv/XzT//qNHPozPDAe8eMv+e88+P77eP6LvpJ3/NZv8PbXvpzXve0d/Nt/9k/4hn/+j/j2/+d7eOj97+dFdmS/9Kqf4Lf27uClP/ISvuXf/Fv+6bf/Kz7p3ps4e+N5/trX/E2+9dv/b/7Ly36Wa8q7eManfz5/8699Hf/uO76Z9x3O+Q/f+d189qfdzPz0zRyNme/4rh/hlnu+lv/wN76Ou57+qfz8L76KUDJHRTjNfbzpXR/md37tdezd+Cxe8cMv5gWf/en80n9/K9dfOMe//Offw1f+z3+Vb/+//iXf+Z/+nb3Y6/TwNQu/dkFrcjtpTX2Pn3WEVU+YzYjzgTiOpFJItRBFe3RifTrnHck78mrJMIwk8zAlZ0YgdDrNHEvGi+6vStVBiXYQGjDZgr5lcYplVjqXtfOUAGMaJ35ZsEktTntlgno05KQqvyW3BoEgTgHS4ddmOH6tKIyosnE20U1P06dzOJxmmOIIXvt4KWe1E8Sc6Wsh18SYHcXWsKoTqrl6pVqRoLul1YlqvAUthX0IjLVSY6QET/aOfj5jce21nLr1Ns7deQc3PP1p7N54E9L1qgbTaCBstFw3+r7TFsgJzN7gBPXggGm3sNgb7GB+imtvOMOfesELOKDnH/2jb+D6m2+lemG5OuTeO2/h0z/j05mduY33vPPX+bZ/+7/xZ1/w+ezf9Cm8/CdeQxkeZFYzT3vS7bz5Tb/Cu975a/yPX/MV/Mt//U187d/6Wu58xmfw8v/6Cs7uiLqAzzyHy8qt1x3w/Of9ac7d9kxe9erXT8f3a7/xq1y/03E2wjXnz+BOX+B33vEuvuhLv5T3XoRfes1rOXVwmve8+1181ud8Bm52npf/+Ms42HUMaWQ1DHiEa+eeL/7KF/GjP/k6XvMLr+c1r/5pfuXnXsNX/fkX8JVf8zf4xV9/Lz/+8p/ml1//Jl79Yy/mi/7ss/myv/pXOSzn+P7//NO87VffzEt+6Pu450nneerT79GJYg1Ad2yQoKWo9qpc65XFDt91+L4jzmd0Owu63QWz/b3pq9/bpd/dpd/doVssiDtzur1dup0dwmJB7SKDc4zBc+QcF2vhSCorcawQRnEMIozOkcUZIVWsL6WcMl1pgrFmxpIm0UuVJLdsyEA6Y6WxgYQL3qbmlvMbcGnJ7Ql9JPaqJVedkGpRhd+pr5ZR/2fzbxAYSlbRzlkHwTPWwtE4MOTMUBIPH17i8GjJkBPLMXG4WjGWqnLwtTDaDqkLAd9FJDh839HN58o5DIHRHpOVE8YYCKf2OXPzzVy4526uu+fJnL/jNsKpPUoQikcViqlIKVM5/0gI2wS3LcBd1VGNfFbwvP99D/Km172OUgp333sPJVZu2Ftw79OeRqmOT33Op/L++x/kF37+Dbz7nb+KdB3/5Qdewi/+4i/xW7/2ZuZnzvDP/8X/yY/8yA/x8pe/gkVZ8hV/+cv5rz/9s/zg93w/9z94kbe/4+3s7Cz43u97Ce/+7Xcx855nf9LTGGvHq3/uTfzaW9/I7v7edHy/8pu/y1te+7Okw0Nczuxce4afet3r+ft/62/zwPvfw+iExbVnef2vvIu/8/Vfxzvf8xt86KEjfuvXfoPx6BLv+4NL/N1v+Mf88i/8FF/zNV/Eu9/zft7x7vfyCz/3KkI65J4n38JnP++5LO74ZH7x1a/hHe99H+/9zTfx7Gfey51PvpXP/+LP40df+gpKvsirXvZynv5Jd7PYn+vB2eu7ClRnjegmOS4e7wLeR5yPhNjT9z2z+Zx+MVcg21vQ7+4osO0pyMW9HcLugri3i1sskPkCWSxwix3czi55NmcVA0fiOBRhKTA4z+i8gpxzrESg6ynes8pFDW+cJ8xmSNdRgtPrSqYYv8vFSDefK+fOOGWpVPVnyJXlME7L7WJGLDTOnhOKVFLNDDkxlsIqFVIVMo6xCtUHlWqf9fgYyRTGmhjqyLIMrEgkL+QYoI+MDnIQStQBQXWeIoGMAnj1keL0Ookd2QWqLclL7BircDFlLpbKsuuo+/vMr7+eM7ffyd7NN1MWu6xy5fBoxXjpiLpc4XJCap5UUv5w7NL5PFOed7JCrgaptmc961n1jW9848d0H9W66plEEc8b3/IbvOonfpznPvMunvKnX8APfs//x5d+4Wfwlnd9iPTQ7/OCF34ur3vDb/ALr3k1i0XgL335F/Ga1/8mv/6rb+PUoud/+ItfwStf+VPcdO0B9zzl2Xz/S36Iw0v38bTbL3DD7c/gJ175WmK5xFf8xRfxqtf9Cu/97Xfy6Z/yVJ7z2Z/Hm3/t7fzMy1/O3CX+wpf/JW68+SYAfunnX80rf/YN3H5hly/4kq/g6/7Zf8Td904++d6bKMXxoq/483zrf/4Z3v9zP8ZzPvvzOHz4YT7nBS/kv73iZ9npMy/8cy/kZa/4BZ7/KXfxpGc8hze87V289ed+kk/908/lTW94PX/xRV/A7NSN/O4H7+Nl3/cS/swLP5M3/9yr+bzPeT7X3HIHDxwVfvj7X8yfeuptvPUdv80n330dT3/Wp1HcAqk6c61oY7uUQkmZPCbyOJKHxLhasVqtWB1e4tLDD3J0dMjR4SHLi4ccXbrI8vCQ5cVLHB0esTw8ZDjUy8bViuFoyerwkLwaKMNIMRWSMY+k1Yo8jEjO+FIIFUKFKErB6GuhcypqGZ3THVlQjh321qzZwFjoQlSdOOurUVXMUnyTStLXSqmFznY+U8pq/twa/ujwwTkVkmxmLs5pOe1EG/cpK3F4zMk8JbzRWHRa7l2TTrL1vaI0luADFF2o9yFM9ogFJQ23bYUCjKVCCMTFgn7/gNM3XM/OuXP0p/bZOThgdvo03alTzE8fsDhzmvnp03S7C6TvcS6u87ZHE7+mBt8nHl9E5E211mdd8bqTBXDVKBbG+qciZaRIRxaIZaBKJJHxIrjqrbdScDVT6IxnVnRnU2Bi/ldBJOGqMdNFqCR0KmWU2VLBG5+ugpC0lxTU6TyXkYrHM1Kr4+v/939Pd//b+aZ/8Xfw3fWs8Hzzd34vf/Cal/Jt3/VddLPT5jxfcSWDeJIIUioe9THQjqN2jR0jyrHzSMUmwui0lEoWb8dVqNUhDBQXFRjqujBtsj01FwW4pDJHeRgZVitWyyOOLj3M8uiI1fKI1SUDOgO25eEllpcOWR0esjw6YlguGY+OOLp4ibRckoeRNA6kQfc5cxrt/lfk1QpSwpWqz1GpzLL25nyFIEIQ0V5drQRRGo/krHNo5wghEjcMphuYpaqqIK0nl5LKOolxz9R4WrltgmnWWQbY9lud9xs+CDaMMAmkGCNdF80sRtVPvPeqe9dEAbx+X1JGrRj85E6mgqAqo+6CKocU5/Cznp29fRb7p5gfHLBz5gyzg1PMD04x37evg1PMT52i298j7O3Q7+zg+5ka5kyT5kcR4a4SgDtZQwZRm1oprLcIpMO18b/T0Xzbaaj2b0Uo0k2MEXCIFGoRqniqFFT/IdiSgUpBKrXWqvxcyM7hS52MmqrRAKbDs2lVzp6f+rnX8StveB3PvXmBFGGJ59VveDtveu3Pc6EmMMMRaZ1hUSgLVftCFFUDK0SrLgWkMzADhGn1rFaHuDJtaYDXF57raXsL2mxer/E7RAcFRlcQ+wAJxj3LedBHrlkEOo/3ql7hg36FqKYnsetZxYj4wNh1jKslbhWROCDjqOtVKZO7jtz3lDRSxkRO4+SA5YpmbaFWOufwVIIIYy0KhE6J106EVVHRSidrxeCKLsKLE7KoRWEJQXl5tTLWqlaFYo+NCMnux3sbFgh0bWAxPac6za1Vtek6EUpVeSOqqhx7b4TaCsX2VlNK4KOBqk3/nUxbFoHAbDGn39HeZbe7i5svYGcX2d3FLXaQxQ5hZ4ewsyDM5sTZTD0l7BhV3rxMSiRPxDhZANcW7G0SttlS9aDEUtbqCXWDR6ZDRHsVot+La6m9fQK2a5pXp2U9RZRn5qUx3Nb333Ye1veuS9kXzp/la/+nv8Ddt92A684TxXHL2Tl/5UWfy83Xn8XPTpEd+JLsHtoARam7uKBuUJs0PibLmGkyquYlzs46TyehZVjF0wjBbQHNTVw6EZP2qSAhHBtA1JInkq5zKscdo/amXAiELhJ6nbIOsyVx1uO7jqHvGZZL/GpFWA3k1UAaBlIayKlTcEsGejlRU6YcLUmjbg8EIDnBF91PDc7RedN6K8f3kJvYpBjnLTjdTy05G0VE1U+KadBp8VqM96jd3KrGqBOY+zSQbdOivTS0zwUuF/yQVaPOGpqSQe2+NhViBFw3iQhgQxMJkWiDhX5nQT9X0IrzOW6+wM/n+MUuoQHbfI6fzQj9HNfPlKYTgpnlrMkx9Q8ZLzwR4sQAXHtCtb9SkKahccXndQ0Hxu+lETrXOLfm1UnV+5LGkGxsUIMEkbYWb/JE0we8P/5nq0df8ZWn33M3T7v37kkjJFC49/ZbuPe2G6HtKdK2HrCJ2OaAfzpQfTNaueork2kM6OBFGRKaDlYTHRBZv+Fcy/Q2jn0t0Kjfl5w3YLZCnSnAmXGzD0F3L4OSWGPfE/uefjZnOTsizmeErmc5OyQeHRGWK/IwUA5Xpgo8kMZWrirIlZzJuZBjp33AlKjjyJAzLts+KcKqmjS4mC8D1rKQ9aNVAQ6X+sEkrEtMmvmLbZJIaz+YNeLG66vZLbqg3qJrlyxz0UIg2+th+iTQx1YEglezbLdBuYnRQK2fEWcdYdbT9TO6+YzQdYSuJ85nxNmcOF8Qd3aIiwVxPifO5oTZHJmp96mEgIRmxr2Zta1pME+0ODEAt472Zm1vfvWpVD7VhmLCtCS/Fvqrx++B9Xq7TD+rXJGCXBUjvVqZBwGpa6kkU5/bCLEcU39Pqur8YzumtPLRjkqzM39s5cxP99xur9mEr2vw2bz91B+ECZTXL/s1OaBuXNDevG0C17wBGlyHVhR7pVz4EKwkHRTouo5uGOj6GavVUt+0yxmx64lHM1ZHR8SjJWkYKDPN4MZhxTgMpHEgj4MCXcrklEgxUnJWc5WUKGmEnJGi4pS1lEmdF+PFpdJEAuokM8S0orWhFSft7a9RbMth8znTl0uTRdfdWv1AdE1ibt0maFsqyKTqK+LwzqkUeQgE7/BOBQC6vqPrVG48RJU8UmBbXx5n/ZTJdYs53c6CsJhbBtfj+4h0QSWivPpEtMxwqo2foHGCAG79JFZxU8m5oebGWjvW24uybT5UNoFF3wwtW9t4gdS1r5I2+LWBbVuTdt/Kz/K1LeWvo61W6V+sE8lSMw9ZY9ykL9d6a7B5WM3IpE7cprZ+o+C2KfQJFZnAfCrOVRa7TvocduYq911hmj5Wy+RgDfcVCFayNWlt74MBnb5Bx3EkdiviMCP2PeNqpRnd0YzVcslqudLp6XJgWA2Mw5JhtSKPBnKDZnQpJcqQSOM4law1Z8gJcqYYkNWM7aZWpFTd9a1NZ84grK1j1bVCcJX1lgbtMb0s0SkN9E3YoLUoXNOrQ6elTV5Je4L6+nDiTA5dDWZiCGqO7Tyh6/DRHrMY8aEjRP0+9h1dNyP0Pd1caTndbEa/WBB2d4g7c/yix807XN/2gD1iZtuTn2wrTZ6gcYIADqY3M+sBgjSRQ7u+1aHHszRZZy8to5rEKPV6LXpVK66KZ7o7DBQ3lBnc5v0eP7rpOKSp6U79vTVIYY5LiKl2IKbgpv20SeetMq0vyXQejc9UKcqtR+VNTGOk6tS4gfz6PBQ9qy3ttzXZVq2L09yzlT3Osjt9U3ty0P6bj0pUjeNItEyu73vGYaWSRbMZw3LFYLJCeTWyWi1VLXhYkht9ZFhNZWs6GnTrII+qCjxmaklWyiabZKqfQjEZo2x9s1Jb+Vkn2Sd18SrT66CVqbBuV7SyEsR2go9nf2p4oytWavLsCObloP1YnQL74Cd6SfB+UjHxPhC63oymwwRsoYuE2Olj1/eEXjO4ru/p+9mUwbUyNfQzfMv+vJlVu2CWg+0ZfOLGCQM4Wf879dE0nKyztOO3DJsX2Lfr3suactIyuc2+2mV/79ill/XfHhHtHjeyrY0ytf21NRN7Ql82AXl99bpsbUflqOhUkMv+ht+QVNq84grHvH4waeNoh5t03JqruhRzVQ8BFzXj6jr9f+wH0jij62YM/ZJhGJQbNwzkYTX9PA4D42rYKFVHxnFkWK6MrjJQUqKMSf+3YUTOKk+Ui/bsii25q62e7ZvWuh4kFFOToU4shsl5XjYe8fbhswFuKvoplsHJBHDRB+1FTgAnmrWFlt2ue5XNIzV2HcGyNh8DLkbdoogGbDFqiRo7upkCXJz1zHd3ibOZDiP6GTF2CpzOMjjn7XkXpSltnNMTLU4QwMn0nzzyIq6AQMcvu+y+rpzVX3ZPV7jRdIsr/L5Mx3OFY33kwV12nVzxZpef2xV/57Ke0iP+5gZCX/G8N2kRIgpo1ONZTa0Ur5yuJlNETuQxEGMkp0SMkbHvGIdRwWwcKeNq4+c1wI3DqNPVcWQclqRRwTLbIKKBXM4jedRSNdtQon1fpt5cmfpyuSro1bLhalHbgr0+Do1fOJ2vtJ5bA3V9uLyVn15EpdxbpuY80Su4tcGCD3ZdjEYIDgpM1pfT7NcysU4pNg3gtBcX6fpejXAWO0TL7GLfTdQcCWHyj239RjZA+okYJwjgtvGJjM03yFS22puoGTJP7lROsxiKlq6hU8DxMRK7QcEqtf7aMHmrbn6NjQg8jowrK1XHRBoHo5IoT660QUTO5JwoWYm3OadpIb5YNpdL07Ur64zNwHv9vay/NktTxJr3ihlNIt07nYpGy8ymUtR7HSa07M1s/YKBWYzRAK7p1nktV+1nH4M5dkUrX/W2oYs6YY2qUOJNesnHoJJYbgPYnpiYdiy2ALeNPzZahnYsC5BHXte+V8DzVDIumKJHVp+E3EVyyqScKDlDyoxJ1XhzSlqeptEoI0k9VYdh+jkbsOXRStRsAJcM4Ezu+3g2twF0DdisfK02zWmDh5bWaVJ7PHNzG/87p5NRZ5sKoWWvttI1gVYrS9v3Pkx+DFpaBhMBMDGAqMKfbTodDCDXmZ716Wygo0OKaABq5jwtA21Z3BM4tgC3jY8oNt8olY2Wn16rzfm2koSqEVMD1Vu2VAqxU/ApE+AUSA2MkmVgen1uEuQ5MQ7JQMx6byVbBpeMK5fNOyJP9583ytT21XwO6uRufzyDs2/W56T/2eTUylMxNy/rtTVeW+utTaBnZWloYGXZXbuugZzz6x6dmAT7tPcaGs/QfrbLvJW9YvfVVr2aMMI2g1vHFuC28dHF5SWr9eQa50Jds2zKW9VAR0pRbbQNdyqKgp8C3AYgWdlZSqZPuheb2iS1FHWbbyWpgVzdyN70NhsbC7VJr5dp+PDIEpWpt3j8VI8PGRr1o321dbYJxIz8LC2zC36jdDeg8l5174wT59sOqpgOnYFn25LwRqoWA7s2TGh/f6KDbFbYT/DsDbYAt42PU1xeqk6S7iITiKgUeTlWJqrCVSGXaEDUqB55mo6WVKi5UopNTGuh5kwpatTcwK02ld6NDK4NGaoBaSMCT+XpsQFDA7w6laeb59cyI2/ilg1cxLmpx9bAybt1lifeHwNEZ7cRpwDXQBEnCnCycd/W79N9Um/cQ2dE3ib1tBbjPD5t38YW4LbxJ44rZQaX9+g2J5Sb3LlmaagKu7oGp96klVJ1ja0tijdgIreyMk8gWIuBmkk71VyM82b7pZuZm2WKxdyuptK0NtLvBsBt0H6PDVY2Ac6sHJUiY4IEDeCkDR8UhLwBmMgaDF0j4nrR32/XiRKFsV3Wacf1cpqKrN2xpqzN/Ba2cTy2ALeNT0hMWdwjSlls26LaZobYekQ1Kaq1J8LkfNYArhq41Y3VLNarWg0Y2++2y2oj9doq1yMnpxvfS1lvclzhnEQEV91GT249SRaTkXHO2W6LaKnZSLcNANuXUwBbU1HcRCRuj5tzotsSE2lXJr26jQNj/ZGyBbnN2ALcNj6uMQFDNWLwRqzXz46XrtNlCFOFaGTklunVaqIHG8OAKTvboHxMQLWxdN++ZPq94+DGRgbHRgZnZ7RBJzTqCGugapzJTe5ZIwFv2hOKXEY7OTYIWHPVrtT/a7zu6Sg2fmd9iLL+BNnGFFuA28bHJR6R8VypD7RRrh4raaWBWz0OfNN9HZ90XikD2/z5D7vMXXbZIw+vrdj90efY/FQ3AenyQUSx7PVy0BJ55O9dfv/H/+gjMUszzCsf2zaBOx5bgNvGYxJX5NZZNMFGwPbVjr/FLy8tNy+//LIr/dyyuytddrlAQvvV9WGuS8jLQWqTO+euAGDTPRwDo5YVXv69/X0eiVnb6ehHHluAezTjCf7CfMQb9Y/4+Yn9SK1j+zh8bPHE3cLdxja2ceJjm8E9GnGFfs82Pvr4aIySPuLfqVdoej2i4fWRucD/keXpNh6V2ALcNh53cTlIfCTg9REDy+UTSh45kNiC1OMntgC3jcd9fCIB5zIq36PyN7fx8YstwG1jGxZ/WCb4x4HZR/t72/jEx1Vh/CwiDwO/+Vgfxyc4zgEfeqwP4hMcJ/0cT/r5wePzHG+ptZ6/0hVXSwb3m3+YM/VJCRF54/YcH99x0s8PTt45bmki29jGNk5sbAFuG9vYxomNqwXgvvOxPoBHIbbn+PiPk35+cMLO8aoYMmxjG9vYxicirpYMbhvb2MY2Pu6xBbhtbGMbJzYec4ATkc8Vkd8UkXeKyD94rI/now0R+Y8i8gERedvGZWdE5KdF5B32/2m7XETkX9s5v1VEnvnYHflHFiJyk4i8SkR+TUR+VUS+3i4/Sec4E5FfEpFfsXP8p3b5bSLyejuXHxSRzi7v7ed32vW3PqYn8BGGiHgRebOIvMx+PlHntxmPKcCJiAe+Hfg84F7gy0Xk3sfymD6G+E/A51522T8AfqbWehfwM/Yz6PneZV9/HfiOR+kYP5ZIwN+ttd4LPAf4WnuuTtI5roDn11qfAXwS8Lki8hzgm4FvqbXeCdwPfLXd/quB++3yb7HbPR7i64Ff3/j5pJ3fOi6Xen40v4DnAj+58fM3At/4WB7Tx3g+twJv2/j5N4Hr7fvrUUIzwL8HvvxKt3u8fAE/BvzZk3qOwAL4ZeBTUWZ/sMun1yzwk8Bz7ftgt5PH+tj/mPO6Ef0gej7wMlRZ4MSc3+Vfj3WJegF4z8bP77XLTkpcW2t9n33/B8C19v3j+rytVPlk4PWcsHO08u0twAeAnwZ+C3ig1prsJpvnMZ2jXf8gcPZRPeA/eXwr8PdZa7Of5WSd37F4rAHuCRNVPwYf95wcEdkF/gvwt2utD21edxLOsdaaa62fhGY6zwbufmyP6OMXIvIFwAdqrW96rI/l0YrHGuB+D7hp4+cb7bKTEu8XkesB7P8P2OWPy/MWkYiC2/fXWn/ELj5R59ii1voA8Cq0ZDsQkba3vXke0zna9aeADz+6R/onik8DvlBEfgd4MVqmfhsn5/weEY81wL0BuMumOB3wZcBLH+Nj+njGS4Gvsu+/Cu1btcv/sk0anwM8uFHmXZUhqv3z3cCv11r/1cZVJ+kcz4vIgX0/R3uMv44C3ZfYzS4/x3buXwK80rLYqzJqrd9Ya72x1nor+l57Za31Kzkh53fFeKybgMALgbejvY5/+Fgfz8dwHj8AvA8Y0T7GV6P9ip8B3gG8AjhjtxV0evxbwH8HnvVYH/9HcH6fjpafbwXeYl8vPGHn+HTgzXaObwP+sV1+O/BLwDuBHwJ6u3xmP7/Trr/9sT6HP8G5Pg942Uk9v/a1XdXaxja2cWLjsS5Rt7GNbWzjExZbgNvGNrZxYmMLcNvYxjZObGwBbhvb2MaJjS3AbWMb2zixsQW4bWxjGyc2tgC3jW1s48TG/w8CXXXVk9DmDQAAAABJRU5ErkJggg==\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}