colab-notebooks/20_HyperparameterTuning_MLFlow.ipynb

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  "metadata": {
    "colab": {
      "name": "20_HyperparameterTuning_MLFlow.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/satyajitghana/PadhAI-Course/blob/master/20_HyperparameterTuning_MLFlow.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hZDrR6KMyWtv",
        "colab_type": "text"
      },
      "source": [
        "# Outline\n",
        "\n",
        "1.   Basic motivation of hyperparameter tuning\n",
        "2.   Integrating Google colab with a local runtime (config in Google colab, Browser, Jupyter notebook)\n",
        "3.   Installing MLFlow and basic use case\n",
        "4.   Logging parameters, metrics with MLFlow\n",
        "5.   Logging image artifacts with MLFlow\n",
        "6.   Logging PyTorch models with MLFlow and loading them\n",
        "\n",
        "\n",
        "## Run in local instance (same folder as the notebook)\n",
        "```python\n",
        "pip install jupyter_http_over_ws\n",
        "jupyter serverextension enable --py jupyter_http_over_ws\n",
        "\n",
        "jupyter notebook \\\n",
        "  --NotebookApp.allow_origin='https://colab.research.google.com' \\\n",
        "  --port=8888 \\\n",
        "  --NotebookApp.port_retries=0\n",
        "```\n",
        "\n",
        "``conda install -c pytorch pytorch``\n",
        "\n",
        "``conda install -c conda-forge mlflow``\n",
        "\n",
        "``conda install -c pytorch torchvision``"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "it17VkYNgwuK",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import torch\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "import torchvision\n",
        "from torchvision import datasets, transforms\n",
        "\n",
        "import torch.nn as nn\n",
        "import torch.optim as optim\n",
        "import seaborn as sns\n",
        "sns.set()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WjsXu6Jognb2",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import mlflow\n",
        "import mlflow.pytorch"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-9JuQvPvteGw",
        "colab_type": "code",
        "outputId": "e06f5867-ebab-48ae-e429-d59974b934b7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n",
        "print(device)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "cuda:0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FGH7fglJnTXP",
        "colab_type": "text"
      },
      "source": [
        "# Params"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "R5ThTNYsnUxF",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "class Params(object):\n",
        "    def __init__(self, batch_size, epochs, seed, log_interval):\n",
        "        self.batch_size = batch_size\n",
        "        self.epochs = epochs\n",
        "        self.seed = seed\n",
        "        self.log_interval = log_interval\n",
        "\n",
        "args = Params(256, 4, 0, 20)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PfDVnJmCipJu",
        "colab_type": "text"
      },
      "source": [
        "# Dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5GwLA3QDhM1S",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "transform = transforms.Compose([\n",
        "    transforms.ToTensor(),\n",
        "    transforms.Normalize((0.1307,), (0.3081,))\n",
        "])\n",
        "\n",
        "train_set = datasets.MNIST('./data', train=True, download=True, \n",
        "                         transform=transform)\n",
        "\n",
        "test_set = datasets.MNIST('./data', train=False, download=True, \n",
        "                         transform=transform)\n",
        "\n",
        "train_loader = torch.utils.data.DataLoader(train_set, batch_size=args.batch_size, shuffle=True)\n",
        "test_loader = torch.utils.data.DataLoader(test_set, batch_size=args.batch_size, shuffle=False)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2u13ym2zkBbl",
        "colab_type": "text"
      },
      "source": [
        "# Model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CUu8MdCmiuk1",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "class Model(nn.Module):\n",
        "    def __init__(self, nH = 32): \n",
        "        super(Model, self).__init__()\n",
        "        self.classifier = nn.Sequential(\n",
        "            nn.Linear(784, nH),  # 28 x 28 = 784\n",
        "            nn.ReLU(),\n",
        "            nn.Linear(nH, 10)\n",
        "        )\n",
        "             \n",
        "    def forward(self, x):\n",
        "        x = x.view(x.size(0), -1)\n",
        "        x = self.classifier(x)\n",
        "        return x"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5voY1tdykFZn",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def train(epoch):\n",
        "    \n",
        "    model.train()\n",
        "    \n",
        "    for batch_id, data in enumerate(train_loader):\n",
        "        inputs, labels = data\n",
        "        inputs, labels = inputs.to(device), labels.to(device)\n",
        "        \n",
        "        opt.zero_grad()\n",
        "        outputs = model(inputs)\n",
        "        loss = loss_fn(outputs, labels)\n",
        "        loss.backward()\n",
        "        opt.step()\n",
        "        \n",
        "        if batch_id % args.log_interval == 0:\n",
        "            pos = epoch * len(train_loader) + batch_id\n",
        "            mlflow.log_metric('train_loss', loss.data.item()/len(inputs)*1000)\n",
        "            \n",
        "            print('Train Epoch: {} [{}/{} ({:.0f}%)]\\tLoss: {:.3f}'.format(\n",
        "                epoch, batch_id * len(inputs), len(train_loader.dataset),\n",
        "                100. * batch_id / len(train_loader), loss.data.item()))\n",
        "            \n",
        "        del inputs, labels"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ShQ7ICRQlbA4",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def test(epoch):\n",
        "    \n",
        "    model.eval()\n",
        "    test_loss = 0\n",
        "    correct = 0\n",
        "    confusion_matrix = np.zeros([10, 10])\n",
        "    \n",
        "    with torch.no_grad():\n",
        "        \n",
        "        for inputs, labels in test_loader:\n",
        "            inputs, labels = inputs.to(device), labels.to(device)\n",
        "            outputs = model(inputs)\n",
        "            test_loss += loss_fn(outputs, labels).data.item()\n",
        "            pred = outputs.data.max(1)[1]\n",
        "            correct += pred.eq(labels.data).sum().item()\n",
        "            \n",
        "            for x, y in zip(pred.cpu().data.numpy(), labels.cpu().data.numpy()):\n",
        "                confusion_matrix[x][y] += 1\n",
        "            \n",
        "        test_loss /= len(test_loader.dataset)\n",
        "        test_accuracy = 100.0 * correct / len(test_loader.dataset)\n",
        "        \n",
        "        pos = (epoch + 1) * len(train_loader)\n",
        "        mlflow.log_metric('test_loss', test_loss*1000)\n",
        "        mlflow.log_metric('test_accuracy', test_accuracy)\n",
        "        \n",
        "        print('\\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.0f}%)\\n'.\n",
        "              format(test_loss, correct, len(test_loader.dataset), test_accuracy))\n",
        "              \n",
        "        if epoch == args.epochs:\n",
        "            classes = np.arange(10)\n",
        "            fig, ax = plt.subplots()\n",
        "            im = ax.imshow(confusion_matrix, interpolation='nearest', cmap=plt.cm.Blues)\n",
        "            ax.figure.colorbar(im, ax=ax)\n",
        "            ax.set(xticks=np.arange(confusion_matrix.shape[1]),\n",
        "                       yticks=np.arange(confusion_matrix.shape[0]),\n",
        "                       xticklabels=classes, yticklabels=classes,\n",
        "                       ylabel='True label',\n",
        "                       xlabel='Predicted label',\n",
        "                       title='Epoch %d' % epoch)\n",
        "            thresh = confusion_matrix.max() / 2.\n",
        "            for i in range(confusion_matrix.shape[0]):\n",
        "                for j in range(confusion_matrix.shape[1]):\n",
        "                    ax.text(j, i, int(confusion_matrix[i, j]),\n",
        "                            ha=\"center\", va=\"center\",\n",
        "                            color=\"white\" if confusion_matrix[i, j] > thresh else \"black\")\n",
        "              \n",
        "            fig.tight_layout()\n",
        "              \n",
        "            image_path = './images/%s.png' % (expt_id)\n",
        "            plt.savefig(image_path)\n",
        "            mlflow.log_artifact(image_path)\n",
        "            "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "P-ct_608n1Uc",
        "colab_type": "text"
      },
      "source": [
        "# Hyperparameter tuning loop"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "toegseP2n0vt",
        "colab_type": "code",
        "outputId": "d3ac42fa-3694-4023-9d14-c11818d710d7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "# expt_id = mlflow.create_experiment('Fixed nH')\n",
        "\n",
        "mlflow.set_experiment('Fixed nH')\n",
        "\n",
        "for lr in [0.01, 0.02, 0.05, 0.1]:\n",
        "    for momentum in [0.9, 0.95, 0.99]:\n",
        "        for hidden_nodes in [48]:\n",
        "        \n",
        "            expt_id = '%d_%d_%d' % (int(lr*100), int(momentum*100), hidden_nodes)\n",
        "\n",
        "            print('\\nLR = %.2f, Momentum = %.2f, Hidden nodes = %d\\n' % (lr, momentum, hidden_nodes))\n",
        "\n",
        "            model = Model(hidden_nodes)\n",
        "            model.to(device)\n",
        "\n",
        "            loss_fn = nn.CrossEntropyLoss()\n",
        "            opt = optim.SGD(model.parameters(), lr=lr, momentum = momentum)\n",
        "\n",
        "            with mlflow.start_run() as run:  \n",
        "                for key, value in vars(args).items():\n",
        "                    mlflow.log_param(key, value)\n",
        "                mlflow.log_param('lr', lr)\n",
        "                mlflow.log_param('momentum', momentum)\n",
        "                mlflow.log_param('hidden_nodes', hidden_nodes)\n",
        "\n",
        "                for epoch in range(1, args.epochs + 1):\n",
        "                    train(epoch)\n",
        "                    test(epoch)\n",
        "\n",
        "                mlflow.pytorch.log_model(model, \"models\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "INFO: 'Fixed nH' does not exist. Creating a new experiment\n",
            "\n",
            "LR = 0.01, Momentum = 0.90, Hidden nodes = 48\n",
            "\n",
            "Train Epoch: 1 [0/60000 (0%)]\tLoss: 2.379\n",
            "Train Epoch: 1 [5120/60000 (9%)]\tLoss: 1.257\n",
            "Train Epoch: 1 [10240/60000 (17%)]\tLoss: 0.617\n",
            "Train Epoch: 1 [15360/60000 (26%)]\tLoss: 0.386\n",
            "Train Epoch: 1 [20480/60000 (34%)]\tLoss: 0.359\n",
            "Train Epoch: 1 [25600/60000 (43%)]\tLoss: 0.321\n",
            "Train Epoch: 1 [30720/60000 (51%)]\tLoss: 0.356\n",
            "Train Epoch: 1 [35840/60000 (60%)]\tLoss: 0.330\n",
            "Train Epoch: 1 [40960/60000 (68%)]\tLoss: 0.352\n",
            "Train Epoch: 1 [46080/60000 (77%)]\tLoss: 0.396\n",
            "Train Epoch: 1 [51200/60000 (85%)]\tLoss: 0.243\n",
            "Train Epoch: 1 [56320/60000 (94%)]\tLoss: 0.272\n",
            "\n",
            "Test set: Average loss: 0.0011, Accuracy: 9216/10000 (92%)\n",
            "\n",
            "Train Epoch: 2 [0/60000 (0%)]\tLoss: 0.308\n",
            "Train Epoch: 2 [5120/60000 (9%)]\tLoss: 0.227\n",
            "Train Epoch: 2 [10240/60000 (17%)]\tLoss: 0.199\n",
            "Train Epoch: 2 [15360/60000 (26%)]\tLoss: 0.251\n",
            "Train Epoch: 2 [20480/60000 (34%)]\tLoss: 0.302\n",
            "Train Epoch: 2 [25600/60000 (43%)]\tLoss: 0.229\n",
            "Train Epoch: 2 [30720/60000 (51%)]\tLoss: 0.279\n",
            "Train Epoch: 2 [35840/60000 (60%)]\tLoss: 0.277\n",
            "Train Epoch: 2 [40960/60000 (68%)]\tLoss: 0.207\n",
            "Train Epoch: 2 [46080/60000 (77%)]\tLoss: 0.309\n",
            "Train Epoch: 2 [51200/60000 (85%)]\tLoss: 0.244\n",
            "Train Epoch: 2 [56320/60000 (94%)]\tLoss: 0.209\n",
            "\n",
            "Test set: Average loss: 0.0009, Accuracy: 9346/10000 (93%)\n",
            "\n",
            "Train Epoch: 3 [0/60000 (0%)]\tLoss: 0.298\n",
            "Train Epoch: 3 [5120/60000 (9%)]\tLoss: 0.246\n",
            "Train Epoch: 3 [10240/60000 (17%)]\tLoss: 0.276\n",
            "Train Epoch: 3 [15360/60000 (26%)]\tLoss: 0.180\n",
            "Train Epoch: 3 [20480/60000 (34%)]\tLoss: 0.159\n",
            "Train Epoch: 3 [25600/60000 (43%)]\tLoss: 0.234\n",
            "Train Epoch: 3 [30720/60000 (51%)]\tLoss: 0.201\n",
            "Train Epoch: 3 [35840/60000 (60%)]\tLoss: 0.197\n",
            "Train Epoch: 3 [40960/60000 (68%)]\tLoss: 0.224\n",
            "Train Epoch: 3 [46080/60000 (77%)]\tLoss: 0.198\n",
            "Train Epoch: 3 [51200/60000 (85%)]\tLoss: 0.160\n",
            "Train Epoch: 3 [56320/60000 (94%)]\tLoss: 0.164\n",
            "\n",
            "Test set: Average loss: 0.0007, Accuracy: 9481/10000 (95%)\n",
            "\n",
            "Train Epoch: 4 [0/60000 (0%)]\tLoss: 0.131\n",
            "Train Epoch: 4 [5120/60000 (9%)]\tLoss: 0.151\n",
            "Train Epoch: 4 [10240/60000 (17%)]\tLoss: 0.184\n",
            "Train Epoch: 4 [15360/60000 (26%)]\tLoss: 0.151\n",
            "Train Epoch: 4 [20480/60000 (34%)]\tLoss: 0.190\n",
            "Train Epoch: 4 [25600/60000 (43%)]\tLoss: 0.136\n",
            "Train Epoch: 4 [30720/60000 (51%)]\tLoss: 0.179\n",
            "Train Epoch: 4 [35840/60000 (60%)]\tLoss: 0.138\n",
            "Train Epoch: 4 [40960/60000 (68%)]\tLoss: 0.131\n",
            "Train Epoch: 4 [46080/60000 (77%)]\tLoss: 0.110\n",
            "Train Epoch: 4 [51200/60000 (85%)]\tLoss: 0.223\n",
            "Train Epoch: 4 [56320/60000 (94%)]\tLoss: 0.114\n",
            "\n",
            "Test set: Average loss: 0.0006, Accuracy: 9558/10000 (96%)\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Model. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Module. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Sequential. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Linear. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type ReLU. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "LR = 0.01, Momentum = 0.95, Hidden nodes = 48\n",
            "\n",
            "Train Epoch: 1 [0/60000 (0%)]\tLoss: 2.342\n",
            "Train Epoch: 1 [5120/60000 (9%)]\tLoss: 0.803\n",
            "Train Epoch: 1 [10240/60000 (17%)]\tLoss: 0.420\n",
            "Train Epoch: 1 [15360/60000 (26%)]\tLoss: 0.329\n",
            "Train Epoch: 1 [20480/60000 (34%)]\tLoss: 0.450\n",
            "Train Epoch: 1 [25600/60000 (43%)]\tLoss: 0.222\n",
            "Train Epoch: 1 [30720/60000 (51%)]\tLoss: 0.291\n",
            "Train Epoch: 1 [35840/60000 (60%)]\tLoss: 0.306\n",
            "Train Epoch: 1 [40960/60000 (68%)]\tLoss: 0.178\n",
            "Train Epoch: 1 [46080/60000 (77%)]\tLoss: 0.314\n",
            "Train Epoch: 1 [51200/60000 (85%)]\tLoss: 0.370\n",
            "Train Epoch: 1 [56320/60000 (94%)]\tLoss: 0.178\n",
            "\n",
            "Test set: Average loss: 0.0009, Accuracy: 9313/10000 (93%)\n",
            "\n",
            "Train Epoch: 2 [0/60000 (0%)]\tLoss: 0.204\n",
            "Train Epoch: 2 [5120/60000 (9%)]\tLoss: 0.225\n",
            "Train Epoch: 2 [10240/60000 (17%)]\tLoss: 0.261\n",
            "Train Epoch: 2 [15360/60000 (26%)]\tLoss: 0.193\n",
            "Train Epoch: 2 [20480/60000 (34%)]\tLoss: 0.164\n",
            "Train Epoch: 2 [25600/60000 (43%)]\tLoss: 0.213\n",
            "Train Epoch: 2 [30720/60000 (51%)]\tLoss: 0.244\n",
            "Train Epoch: 2 [35840/60000 (60%)]\tLoss: 0.282\n",
            "Train Epoch: 2 [40960/60000 (68%)]\tLoss: 0.261\n",
            "Train Epoch: 2 [46080/60000 (77%)]\tLoss: 0.166\n",
            "Train Epoch: 2 [51200/60000 (85%)]\tLoss: 0.191\n",
            "Train Epoch: 2 [56320/60000 (94%)]\tLoss: 0.234\n",
            "\n",
            "Test set: Average loss: 0.0007, Accuracy: 9446/10000 (94%)\n",
            "\n",
            "Train Epoch: 3 [0/60000 (0%)]\tLoss: 0.159\n",
            "Train Epoch: 3 [5120/60000 (9%)]\tLoss: 0.124\n",
            "Train Epoch: 3 [10240/60000 (17%)]\tLoss: 0.149\n",
            "Train Epoch: 3 [15360/60000 (26%)]\tLoss: 0.206\n",
            "Train Epoch: 3 [20480/60000 (34%)]\tLoss: 0.155\n",
            "Train Epoch: 3 [25600/60000 (43%)]\tLoss: 0.158\n",
            "Train Epoch: 3 [30720/60000 (51%)]\tLoss: 0.201\n",
            "Train Epoch: 3 [35840/60000 (60%)]\tLoss: 0.147\n",
            "Train Epoch: 3 [40960/60000 (68%)]\tLoss: 0.182\n",
            "Train Epoch: 3 [46080/60000 (77%)]\tLoss: 0.152\n",
            "Train Epoch: 3 [51200/60000 (85%)]\tLoss: 0.168\n",
            "Train Epoch: 3 [56320/60000 (94%)]\tLoss: 0.072\n",
            "\n",
            "Test set: Average loss: 0.0006, Accuracy: 9585/10000 (96%)\n",
            "\n",
            "Train Epoch: 4 [0/60000 (0%)]\tLoss: 0.136\n",
            "Train Epoch: 4 [5120/60000 (9%)]\tLoss: 0.125\n",
            "Train Epoch: 4 [10240/60000 (17%)]\tLoss: 0.081\n",
            "Train Epoch: 4 [15360/60000 (26%)]\tLoss: 0.155\n",
            "Train Epoch: 4 [20480/60000 (34%)]\tLoss: 0.086\n",
            "Train Epoch: 4 [25600/60000 (43%)]\tLoss: 0.116\n",
            "Train Epoch: 4 [30720/60000 (51%)]\tLoss: 0.115\n",
            "Train Epoch: 4 [35840/60000 (60%)]\tLoss: 0.120\n",
            "Train Epoch: 4 [40960/60000 (68%)]\tLoss: 0.138\n",
            "Train Epoch: 4 [46080/60000 (77%)]\tLoss: 0.098\n",
            "Train Epoch: 4 [51200/60000 (85%)]\tLoss: 0.091\n",
            "Train Epoch: 4 [56320/60000 (94%)]\tLoss: 0.073\n",
            "\n",
            "Test set: Average loss: 0.0005, Accuracy: 9627/10000 (96%)\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Model. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Module. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Sequential. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Linear. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type ReLU. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "LR = 0.01, Momentum = 0.99, Hidden nodes = 48\n",
            "\n",
            "Train Epoch: 1 [0/60000 (0%)]\tLoss: 2.350\n",
            "Train Epoch: 1 [5120/60000 (9%)]\tLoss: 0.813\n",
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            "Train Epoch: 1 [56320/60000 (94%)]\tLoss: 0.328\n",
            "\n",
            "Test set: Average loss: 0.0011, Accuracy: 9238/10000 (92%)\n",
            "\n",
            "Train Epoch: 2 [0/60000 (0%)]\tLoss: 0.335\n",
            "Train Epoch: 2 [5120/60000 (9%)]\tLoss: 0.259\n",
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            "Train Epoch: 2 [56320/60000 (94%)]\tLoss: 0.248\n",
            "\n",
            "Test set: Average loss: 0.0007, Accuracy: 9448/10000 (94%)\n",
            "\n",
            "Train Epoch: 3 [0/60000 (0%)]\tLoss: 0.185\n",
            "Train Epoch: 3 [5120/60000 (9%)]\tLoss: 0.128\n",
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            "Train Epoch: 3 [56320/60000 (94%)]\tLoss: 0.135\n",
            "\n",
            "Test set: Average loss: 0.0006, Accuracy: 9545/10000 (95%)\n",
            "\n",
            "Train Epoch: 4 [0/60000 (0%)]\tLoss: 0.114\n",
            "Train Epoch: 4 [5120/60000 (9%)]\tLoss: 0.142\n",
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            "Train Epoch: 4 [40960/60000 (68%)]\tLoss: 0.165\n",
            "Train Epoch: 4 [46080/60000 (77%)]\tLoss: 0.130\n",
            "Train Epoch: 4 [51200/60000 (85%)]\tLoss: 0.088\n",
            "Train Epoch: 4 [56320/60000 (94%)]\tLoss: 0.108\n",
            "\n",
            "Test set: Average loss: 0.0005, Accuracy: 9584/10000 (96%)\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Model. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Module. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Sequential. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Linear. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type ReLU. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "LR = 0.02, Momentum = 0.90, Hidden nodes = 48\n",
            "\n",
            "Train Epoch: 1 [0/60000 (0%)]\tLoss: 2.369\n",
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            "Train Epoch: 1 [56320/60000 (94%)]\tLoss: 0.294\n",
            "\n",
            "Test set: Average loss: 0.0009, Accuracy: 9363/10000 (94%)\n",
            "\n",
            "Train Epoch: 2 [0/60000 (0%)]\tLoss: 0.257\n",
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            "\n",
            "Test set: Average loss: 0.0006, Accuracy: 9520/10000 (95%)\n",
            "\n",
            "Train Epoch: 3 [0/60000 (0%)]\tLoss: 0.193\n",
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            "\n",
            "Test set: Average loss: 0.0005, Accuracy: 9617/10000 (96%)\n",
            "\n",
            "Train Epoch: 4 [0/60000 (0%)]\tLoss: 0.112\n",
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            "\n",
            "Test set: Average loss: 0.0004, Accuracy: 9664/10000 (97%)\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Model. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Module. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Sequential. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Linear. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type ReLU. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "LR = 0.02, Momentum = 0.95, Hidden nodes = 48\n",
            "\n",
            "Train Epoch: 1 [0/60000 (0%)]\tLoss: 2.331\n",
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            "Train Epoch: 1 [56320/60000 (94%)]\tLoss: 0.091\n",
            "\n",
            "Test set: Average loss: 0.0007, Accuracy: 9417/10000 (94%)\n",
            "\n",
            "Train Epoch: 2 [0/60000 (0%)]\tLoss: 0.139\n",
            "Train Epoch: 2 [5120/60000 (9%)]\tLoss: 0.221\n",
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            "\n",
            "Test set: Average loss: 0.0005, Accuracy: 9626/10000 (96%)\n",
            "\n",
            "Train Epoch: 3 [0/60000 (0%)]\tLoss: 0.106\n",
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            "\n",
            "Test set: Average loss: 0.0004, Accuracy: 9662/10000 (97%)\n",
            "\n",
            "Train Epoch: 4 [0/60000 (0%)]\tLoss: 0.090\n",
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            "\n",
            "Test set: Average loss: 0.0004, Accuracy: 9689/10000 (97%)\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Model. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Module. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Sequential. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Linear. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type ReLU. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "LR = 0.02, Momentum = 0.99, Hidden nodes = 48\n",
            "\n",
            "Train Epoch: 1 [0/60000 (0%)]\tLoss: 2.334\n",
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            "Train Epoch: 1 [25600/60000 (43%)]\tLoss: 0.578\n",
            "Train Epoch: 1 [30720/60000 (51%)]\tLoss: 0.866\n",
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            "Train Epoch: 1 [51200/60000 (85%)]\tLoss: 0.421\n",
            "Train Epoch: 1 [56320/60000 (94%)]\tLoss: 0.404\n",
            "\n",
            "Test set: Average loss: 0.0017, Accuracy: 8950/10000 (90%)\n",
            "\n",
            "Train Epoch: 2 [0/60000 (0%)]\tLoss: 0.397\n",
            "Train Epoch: 2 [5120/60000 (9%)]\tLoss: 0.504\n",
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            "Train Epoch: 2 [56320/60000 (94%)]\tLoss: 0.359\n",
            "\n",
            "Test set: Average loss: 0.0012, Accuracy: 9160/10000 (92%)\n",
            "\n",
            "Train Epoch: 3 [0/60000 (0%)]\tLoss: 0.345\n",
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            "\n",
            "Test set: Average loss: 0.0011, Accuracy: 9361/10000 (94%)\n",
            "\n",
            "Train Epoch: 4 [0/60000 (0%)]\tLoss: 0.334\n",
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            "Train Epoch: 4 [30720/60000 (51%)]\tLoss: 0.270\n",
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            "Train Epoch: 4 [40960/60000 (68%)]\tLoss: 0.226\n",
            "Train Epoch: 4 [46080/60000 (77%)]\tLoss: 0.345\n",
            "Train Epoch: 4 [51200/60000 (85%)]\tLoss: 0.254\n",
            "Train Epoch: 4 [56320/60000 (94%)]\tLoss: 0.222\n",
            "\n",
            "Test set: Average loss: 0.0010, Accuracy: 9392/10000 (94%)\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Model. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Module. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Sequential. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Linear. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type ReLU. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "LR = 0.05, Momentum = 0.90, Hidden nodes = 48\n",
            "\n",
            "Train Epoch: 1 [0/60000 (0%)]\tLoss: 2.358\n",
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            "Train Epoch: 1 [56320/60000 (94%)]\tLoss: 0.181\n",
            "\n",
            "Test set: Average loss: 0.0006, Accuracy: 9528/10000 (95%)\n",
            "\n",
            "Train Epoch: 2 [0/60000 (0%)]\tLoss: 0.104\n",
            "Train Epoch: 2 [5120/60000 (9%)]\tLoss: 0.181\n",
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            "Train Epoch: 2 [51200/60000 (85%)]\tLoss: 0.104\n",
            "Train Epoch: 2 [56320/60000 (94%)]\tLoss: 0.096\n",
            "\n",
            "Test set: Average loss: 0.0005, Accuracy: 9631/10000 (96%)\n",
            "\n",
            "Train Epoch: 3 [0/60000 (0%)]\tLoss: 0.094\n",
            "Train Epoch: 3 [5120/60000 (9%)]\tLoss: 0.082\n",
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            "Train Epoch: 3 [46080/60000 (77%)]\tLoss: 0.098\n",
            "Train Epoch: 3 [51200/60000 (85%)]\tLoss: 0.135\n",
            "Train Epoch: 3 [56320/60000 (94%)]\tLoss: 0.072\n",
            "\n",
            "Test set: Average loss: 0.0004, Accuracy: 9676/10000 (97%)\n",
            "\n",
            "Train Epoch: 4 [0/60000 (0%)]\tLoss: 0.047\n",
            "Train Epoch: 4 [5120/60000 (9%)]\tLoss: 0.045\n",
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            "Train Epoch: 4 [40960/60000 (68%)]\tLoss: 0.052\n",
            "Train Epoch: 4 [46080/60000 (77%)]\tLoss: 0.088\n",
            "Train Epoch: 4 [51200/60000 (85%)]\tLoss: 0.067\n",
            "Train Epoch: 4 [56320/60000 (94%)]\tLoss: 0.142\n",
            "\n",
            "Test set: Average loss: 0.0004, Accuracy: 9704/10000 (97%)\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Model. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Module. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Sequential. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Linear. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type ReLU. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "LR = 0.05, Momentum = 0.95, Hidden nodes = 48\n",
            "\n",
            "Train Epoch: 1 [0/60000 (0%)]\tLoss: 2.319\n",
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            "Train Epoch: 1 [56320/60000 (94%)]\tLoss: 0.174\n",
            "\n",
            "Test set: Average loss: 0.0006, Accuracy: 9512/10000 (95%)\n",
            "\n",
            "Train Epoch: 2 [0/60000 (0%)]\tLoss: 0.156\n",
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            "\n",
            "Test set: Average loss: 0.0005, Accuracy: 9621/10000 (96%)\n",
            "\n",
            "Train Epoch: 3 [0/60000 (0%)]\tLoss: 0.111\n",
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            "\n",
            "Test set: Average loss: 0.0005, Accuracy: 9674/10000 (97%)\n",
            "\n",
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            "\n",
            "Test set: Average loss: 0.0005, Accuracy: 9637/10000 (96%)\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Model. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Module. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Sequential. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Linear. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type ReLU. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "LR = 0.05, Momentum = 0.99, Hidden nodes = 48\n",
            "\n",
            "Train Epoch: 1 [0/60000 (0%)]\tLoss: 2.352\n",
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            "Train Epoch: 1 [51200/60000 (85%)]\tLoss: 0.891\n",
            "Train Epoch: 1 [56320/60000 (94%)]\tLoss: 0.488\n",
            "\n",
            "Test set: Average loss: 0.0026, Accuracy: 8436/10000 (84%)\n",
            "\n",
            "Train Epoch: 2 [0/60000 (0%)]\tLoss: 0.414\n",
            "Train Epoch: 2 [5120/60000 (9%)]\tLoss: 0.551\n",
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            "\n",
            "Test set: Average loss: 0.0027, Accuracy: 8480/10000 (85%)\n",
            "\n",
            "Train Epoch: 3 [0/60000 (0%)]\tLoss: 0.746\n",
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            "\n",
            "Test set: Average loss: 0.0030, Accuracy: 7712/10000 (77%)\n",
            "\n",
            "Train Epoch: 4 [0/60000 (0%)]\tLoss: 0.570\n",
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            "\n",
            "Test set: Average loss: 0.0027, Accuracy: 8568/10000 (86%)\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Model. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Module. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Sequential. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Linear. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type ReLU. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "LR = 0.10, Momentum = 0.90, Hidden nodes = 48\n",
            "\n",
            "Train Epoch: 1 [0/60000 (0%)]\tLoss: 2.361\n",
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            "Train Epoch: 1 [56320/60000 (94%)]\tLoss: 0.153\n",
            "\n",
            "Test set: Average loss: 0.0006, Accuracy: 9509/10000 (95%)\n",
            "\n",
            "Train Epoch: 2 [0/60000 (0%)]\tLoss: 0.160\n",
            "Train Epoch: 2 [5120/60000 (9%)]\tLoss: 0.128\n",
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            "Train Epoch: 2 [56320/60000 (94%)]\tLoss: 0.184\n",
            "\n",
            "Test set: Average loss: 0.0005, Accuracy: 9643/10000 (96%)\n",
            "\n",
            "Train Epoch: 3 [0/60000 (0%)]\tLoss: 0.103\n",
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            "\n",
            "Test set: Average loss: 0.0005, Accuracy: 9633/10000 (96%)\n",
            "\n",
            "Train Epoch: 4 [0/60000 (0%)]\tLoss: 0.126\n",
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            "Train Epoch: 4 [25600/60000 (43%)]\tLoss: 0.122\n",
            "Train Epoch: 4 [30720/60000 (51%)]\tLoss: 0.096\n",
            "Train Epoch: 4 [35840/60000 (60%)]\tLoss: 0.171\n",
            "Train Epoch: 4 [40960/60000 (68%)]\tLoss: 0.045\n",
            "Train Epoch: 4 [46080/60000 (77%)]\tLoss: 0.095\n",
            "Train Epoch: 4 [51200/60000 (85%)]\tLoss: 0.142\n",
            "Train Epoch: 4 [56320/60000 (94%)]\tLoss: 0.077\n",
            "\n",
            "Test set: Average loss: 0.0004, Accuracy: 9690/10000 (97%)\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Model. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Module. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Sequential. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Linear. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type ReLU. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "LR = 0.10, Momentum = 0.95, Hidden nodes = 48\n",
            "\n",
            "Train Epoch: 1 [0/60000 (0%)]\tLoss: 2.302\n",
            "Train Epoch: 1 [5120/60000 (9%)]\tLoss: 0.933\n",
            "Train Epoch: 1 [10240/60000 (17%)]\tLoss: 0.574\n",
            "Train Epoch: 1 [15360/60000 (26%)]\tLoss: 0.331\n",
            "Train Epoch: 1 [20480/60000 (34%)]\tLoss: 0.325\n",
            "Train Epoch: 1 [25600/60000 (43%)]\tLoss: 0.448\n",
            "Train Epoch: 1 [30720/60000 (51%)]\tLoss: 0.328\n",
            "Train Epoch: 1 [35840/60000 (60%)]\tLoss: 0.333\n",
            "Train Epoch: 1 [40960/60000 (68%)]\tLoss: 0.170\n",
            "Train Epoch: 1 [46080/60000 (77%)]\tLoss: 0.217\n",
            "Train Epoch: 1 [51200/60000 (85%)]\tLoss: 0.234\n",
            "Train Epoch: 1 [56320/60000 (94%)]\tLoss: 0.197\n",
            "\n",
            "Test set: Average loss: 0.0009, Accuracy: 9394/10000 (94%)\n",
            "\n",
            "Train Epoch: 2 [0/60000 (0%)]\tLoss: 0.238\n",
            "Train Epoch: 2 [5120/60000 (9%)]\tLoss: 0.123\n",
            "Train Epoch: 2 [10240/60000 (17%)]\tLoss: 0.162\n",
            "Train Epoch: 2 [15360/60000 (26%)]\tLoss: 0.156\n",
            "Train Epoch: 2 [20480/60000 (34%)]\tLoss: 0.185\n",
            "Train Epoch: 2 [25600/60000 (43%)]\tLoss: 0.183\n",
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            "Train Epoch: 2 [35840/60000 (60%)]\tLoss: 0.133\n",
            "Train Epoch: 2 [40960/60000 (68%)]\tLoss: 0.209\n",
            "Train Epoch: 2 [46080/60000 (77%)]\tLoss: 0.163\n",
            "Train Epoch: 2 [51200/60000 (85%)]\tLoss: 0.252\n",
            "Train Epoch: 2 [56320/60000 (94%)]\tLoss: 0.132\n",
            "\n",
            "Test set: Average loss: 0.0007, Accuracy: 9470/10000 (95%)\n",
            "\n",
            "Train Epoch: 3 [0/60000 (0%)]\tLoss: 0.130\n",
            "Train Epoch: 3 [5120/60000 (9%)]\tLoss: 0.108\n",
            "Train Epoch: 3 [10240/60000 (17%)]\tLoss: 0.241\n",
            "Train Epoch: 3 [15360/60000 (26%)]\tLoss: 0.082\n",
            "Train Epoch: 3 [20480/60000 (34%)]\tLoss: 0.174\n",
            "Train Epoch: 3 [25600/60000 (43%)]\tLoss: 0.078\n",
            "Train Epoch: 3 [30720/60000 (51%)]\tLoss: 0.157\n",
            "Train Epoch: 3 [35840/60000 (60%)]\tLoss: 0.291\n",
            "Train Epoch: 3 [40960/60000 (68%)]\tLoss: 0.198\n",
            "Train Epoch: 3 [46080/60000 (77%)]\tLoss: 0.154\n",
            "Train Epoch: 3 [51200/60000 (85%)]\tLoss: 0.149\n",
            "Train Epoch: 3 [56320/60000 (94%)]\tLoss: 0.099\n",
            "\n",
            "Test set: Average loss: 0.0008, Accuracy: 9470/10000 (95%)\n",
            "\n",
            "Train Epoch: 4 [0/60000 (0%)]\tLoss: 0.087\n",
            "Train Epoch: 4 [5120/60000 (9%)]\tLoss: 0.085\n",
            "Train Epoch: 4 [10240/60000 (17%)]\tLoss: 0.129\n",
            "Train Epoch: 4 [15360/60000 (26%)]\tLoss: 0.088\n",
            "Train Epoch: 4 [20480/60000 (34%)]\tLoss: 0.168\n",
            "Train Epoch: 4 [25600/60000 (43%)]\tLoss: 0.075\n",
            "Train Epoch: 4 [30720/60000 (51%)]\tLoss: 0.158\n",
            "Train Epoch: 4 [35840/60000 (60%)]\tLoss: 0.146\n",
            "Train Epoch: 4 [40960/60000 (68%)]\tLoss: 0.192\n",
            "Train Epoch: 4 [46080/60000 (77%)]\tLoss: 0.114\n",
            "Train Epoch: 4 [51200/60000 (85%)]\tLoss: 0.145\n",
            "Train Epoch: 4 [56320/60000 (94%)]\tLoss: 0.085\n",
            "\n",
            "Test set: Average loss: 0.0006, Accuracy: 9559/10000 (96%)\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Model. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Module. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Sequential. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Linear. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type ReLU. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "LR = 0.10, Momentum = 0.99, Hidden nodes = 48\n",
            "\n",
            "Train Epoch: 1 [0/60000 (0%)]\tLoss: 2.326\n",
            "Train Epoch: 1 [5120/60000 (9%)]\tLoss: 1.264\n",
            "Train Epoch: 1 [10240/60000 (17%)]\tLoss: 0.669\n",
            "Train Epoch: 1 [15360/60000 (26%)]\tLoss: 0.932\n",
            "Train Epoch: 1 [20480/60000 (34%)]\tLoss: 0.972\n",
            "Train Epoch: 1 [25600/60000 (43%)]\tLoss: 0.718\n",
            "Train Epoch: 1 [30720/60000 (51%)]\tLoss: 1.084\n",
            "Train Epoch: 1 [35840/60000 (60%)]\tLoss: 1.030\n",
            "Train Epoch: 1 [40960/60000 (68%)]\tLoss: 1.084\n",
            "Train Epoch: 1 [46080/60000 (77%)]\tLoss: 2.376\n",
            "Train Epoch: 1 [51200/60000 (85%)]\tLoss: 1.032\n",
            "Train Epoch: 1 [56320/60000 (94%)]\tLoss: 1.243\n",
            "\n",
            "Test set: Average loss: 0.0047, Accuracy: 7125/10000 (71%)\n",
            "\n",
            "Train Epoch: 2 [0/60000 (0%)]\tLoss: 0.993\n",
            "Train Epoch: 2 [5120/60000 (9%)]\tLoss: 1.048\n",
            "Train Epoch: 2 [10240/60000 (17%)]\tLoss: 1.014\n",
            "Train Epoch: 2 [15360/60000 (26%)]\tLoss: 0.773\n",
            "Train Epoch: 2 [20480/60000 (34%)]\tLoss: 1.005\n",
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            "Train Epoch: 2 [30720/60000 (51%)]\tLoss: 1.002\n",
            "Train Epoch: 2 [35840/60000 (60%)]\tLoss: 0.937\n",
            "Train Epoch: 2 [40960/60000 (68%)]\tLoss: 1.185\n",
            "Train Epoch: 2 [46080/60000 (77%)]\tLoss: 0.988\n",
            "Train Epoch: 2 [51200/60000 (85%)]\tLoss: 0.790\n",
            "Train Epoch: 2 [56320/60000 (94%)]\tLoss: 1.404\n",
            "\n",
            "Test set: Average loss: 0.0046, Accuracy: 6777/10000 (68%)\n",
            "\n",
            "Train Epoch: 3 [0/60000 (0%)]\tLoss: 0.805\n",
            "Train Epoch: 3 [5120/60000 (9%)]\tLoss: 1.185\n",
            "Train Epoch: 3 [10240/60000 (17%)]\tLoss: 1.310\n",
            "Train Epoch: 3 [15360/60000 (26%)]\tLoss: 1.267\n",
            "Train Epoch: 3 [20480/60000 (34%)]\tLoss: 0.963\n",
            "Train Epoch: 3 [25600/60000 (43%)]\tLoss: 0.968\n",
            "Train Epoch: 3 [30720/60000 (51%)]\tLoss: 0.975\n",
            "Train Epoch: 3 [35840/60000 (60%)]\tLoss: 1.037\n",
            "Train Epoch: 3 [40960/60000 (68%)]\tLoss: 1.598\n",
            "Train Epoch: 3 [46080/60000 (77%)]\tLoss: 1.218\n",
            "Train Epoch: 3 [51200/60000 (85%)]\tLoss: 1.205\n",
            "Train Epoch: 3 [56320/60000 (94%)]\tLoss: 1.346\n",
            "\n",
            "Test set: Average loss: 0.0060, Accuracy: 5759/10000 (58%)\n",
            "\n",
            "Train Epoch: 4 [0/60000 (0%)]\tLoss: 1.055\n",
            "Train Epoch: 4 [5120/60000 (9%)]\tLoss: 1.166\n",
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            "Train Epoch: 4 [15360/60000 (26%)]\tLoss: 2.531\n",
            "Train Epoch: 4 [20480/60000 (34%)]\tLoss: 1.449\n",
            "Train Epoch: 4 [25600/60000 (43%)]\tLoss: 1.863\n",
            "Train Epoch: 4 [30720/60000 (51%)]\tLoss: 1.363\n",
            "Train Epoch: 4 [35840/60000 (60%)]\tLoss: 1.483\n",
            "Train Epoch: 4 [40960/60000 (68%)]\tLoss: 1.961\n",
            "Train Epoch: 4 [46080/60000 (77%)]\tLoss: 1.735\n",
            "Train Epoch: 4 [51200/60000 (85%)]\tLoss: 1.509\n",
            "Train Epoch: 4 [56320/60000 (94%)]\tLoss: 1.750\n",
            "\n",
            "Test set: Average loss: 0.0061, Accuracy: 4940/10000 (49%)\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Model. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Module. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Sequential. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type Linear. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n",
            "C:\\Users\\shadowleaf\\Anaconda3\\lib\\site-packages\\torch\\serialization.py:292: UserWarning: Couldn't retrieve source code for container of type ReLU. It won't be checked for correctness upon loading.\n",
            "  \"type \" + obj.__name__ + \". It won't be checked \"\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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ct+rU5eNJU3ItW6LxBL79fAiXwqNZ6bdfu798meIc+mkKTfot4sEj9Vyk5LO+HAuLxM7WGnMzM77csI8tQaey2dPYmvNBT1n12RkYwPvDhxCXYJrM2aBf/eWyJ+g3Zs/6hLS0VOrUrcfX67/X+cstByV8XbfGl+/WrwOViqpVq7Hm62/1ShP3Kpvfrl+HmUpFFRPZBOXqr4+vik2tGbNVZ1KVivaFufaNvETLeYXit8kvT540FfoI96iAPd9MpGd7l2z7B3Ztwr7vP6KsQ/F/HTPv6yCa9f+CHhPWsniyF9UqqketalUpk6Ot3IgID+eT6aYTbgJlhIuUEsVSwleN0FRISAihYaYRmlJKvErJ+ishtKUvKpVK1pbfUTQYnjt3jgEDBmhT05sSfYR7zM1gw45jbN93VrvPyb4Y3VrXw3Pc2mxlra3UP50HT1wD4O79R8QnPKXc84Dp3df9X7ZyQyPctHip6YSbQBnhIqVEsZTwVQmhKaXEqwpK/Q1FBEMZvDx50pToI9yTkQVbg09n2xcT95j+U74j4lZ2Dd/UtOxT+Ud4taCInTUnL9wE4OPFv/zLVm5ohJvq1jWdcBMoI1yklCCUUiJLlpaWBAQEUL2y6YSmlBCvUrL+pvbVEFRmKllbfkfRYLhgwQJcXV2VPIWiTHnvXXy8u9Dro29ISU3X+/hv1q3FwsKCYe/JW4aU10gvzdvSYG6ef5XNevTowZ178fh8+hmeHh3Jysoy2ma37j2IjzetTaXID76qZ9bo6hm+drf0Jt+OJuvzoFeOilny2X/WEC+a9O9BjzsHF7+y/Mmtn8h35gU2+m0gKSmJZq4upKWphZuauboQFGSccNPLyFdxy52qlSsSeuqE1taDWLUgVKlihYw3/hxT+RrxXGiq5XOhqTGjRjBxvDfJibkLTcm1Caax+TJK1B+U8VUucm6DC8Jtcr4NhnITNYA8FbMSjSewfu5gLkfEZBtNBnXgK99merbR5D1/XWTwtB9ISknL0Z7GVm6jyYdDTmr/jrp5k0Yuzhw/HQaYdsG+XBU3Xbi37cDkyZO5eCUc59o18F2rFoTKj77evBPDsMEDOBcWRuHipdnopxaaKlSslMH2NTZPnA6jvGNpNvxkvM2XMXX99fFVqdFkFTKCYQHI7ppvg2Fe0bSeWnO2WgV7DmyYpN3v81Ugfxy7klduvRaUFMUyNRqhqdatW2NuboFTWeOFppQSr1KCfOWrCt2ZrPN/LHw98wzbtm3LTz/9pJeMoUjhlXc2lbJbUGwqZTevfVWqZ1jvowBux+eeL7BC6UKcX9nD9Cc3Ia+lZ3jgwIHXcRqBQJAHiGeGAoFAgAiGAoFAoOYNeWYogqFAIDAK0TMUCAQCwEylwsws9/UbZiIYCgSCNx5xm1yw0GcKjD7lSw34UbbNZ7+8J6v8g83KrDHVbxaVSlb5gnD7o0GJ+kPBagMlELfJAoFAgAiGAoFAoEZOii4RDAUCwZuOnBRdBSGFlwiGAoHAKESiBoFAIEA8MxQIBALgn+Suusrkdwq0brIkSQwbNowVy5eZxN7mjT/TpGF9XFxcaP1Oc0JPy0/v792pNme/8uLY0m5s+LAVJQpbATCqw1scXdyN0BXqvIdWFmYUs7Pi2NJu2bYnW4cxsWsdvX0OCAjAvkQRvY97FTOmTaZmtUq4uLjQ1LUBQwb2N9rmnqDfaNygHrVq1WJg/z48efLEBJ6q7darV496dUxnV4n6g1rJrk6dOjRycaaPV3fu37+v+yAdKNWueqOSueVzFA2Gvr6+eHh44OHhwZIlS0xq29SKY9evXWPmjKkE/hZMWFgYM2b60L+vl6xj3es4MqlHXTzmBuM2dSd7z95h9ZgWdGtSCe/Otek6LxjXSTsAmNi1Do+T0nCbulO7/W9/OCFX77Nuz2W9fI4ID2fKFNOq7h0/doyfft5MWFgYJ06fxW/TFqPsKaW4p7G7bds2zl8ynV1T1x+UUfJTql0NQQhC6SAkJIQjR46wY8cOAgICuHTpEvv27TOZfVMrjllbW7P2m+9wcnICoGEjV2Lv3SMtLedM1y/SoGppDl6IJvphEgCBJ6Lo0qgCw9vVZNWuiyQ8TUMTrzYdjsx2bFXHIkzvVZ+Rqw+TkSk/qGlU9+SIY8slNTWVc2FnWb5sKXXr1mVA397cvnXLKJtKKe5p7NYwoV0l6g/KKNkp1a6GYGZmJmvL7yjmob29PTNmzMDKygpLS0uqVatGdHS0yeybWnGsUuXKdO7iAahvv6dPmYSHZzesrKx0HnsqPI5Wzk5UKK3WChnSpgbWlubUKl8M+2K2BMx6lxPLugPw+Fn24DpnQCPW7bnCHR3JMV9Go7pXr57pVPdioqNp1aYtc+bO4/z58zRp2pQ+vXoY9QVTSnFPCbtK1F+DqZX8lGpXg5DTKywAPUPFBlA0v9gAN2/eZM+ePWzevFn28aYWhJLLs2fP6Dt8OLdv3yY4OFin3We//HNRX13XN9t7lR2KMHdgo2z74n4e8i8bvZtXYc6AhrJ9XLt2LdZWFowZNUKrSS2v/rlfkLVrVmXvniDt60+mT+WLhfOJvRtFlSpVZPv3IuZkYWGu0vqn+b+QtblRn5nGrsamJtFz7nZff/1fpEePHvTo0YNvv/2Wbh4diYiIMLjHpFS7Gkz+j3U6UbzZwsPDGTNmDNOmTaNy5cqyjzO1IJQcbt26Re8enrz9dm327DuIja2tTrulBvxIYRsLHIrb8vc99a+yU0k7TizrzuXbjwg4dpOvg9XaKc9+eY9T4XG0nrkbgAkeb+NcqSTea49ks6lrbfIPP24gOTmJ+vVdSE9Xq+7Vr+/Cjl25q+7p6uFcOH+eC+fPMXDwEGwtVSSnS0iSRAYWJKfnfKyuZ0FO5Spy7PgJUjLUX9jIKLXinrl1IaM+M41dUH/2UTLsKlF/0N0Gkc+V7Nq1bklKBgwcOgJvb29i4gxXsjOkXRUThHpDptYoeiMfGhrK8OHDmTx5Mj17vlpFLj+QmJhIx/at6d7Tiy1btmBrayv7WKeSdgR/1pkitpYATPOqxy9HbxBw7CZezStjY/WP7nBoZLz275ZvO/LnBf0fHRw5dpLQsIucCA0jKCgIW1tbToSGGS0/amZmxpRJH3Lzxg0A1n+zDue69fTSrnmZdu924OSJ40SEhwPw3Xq14p6xaOyGm9CuEvUHiLkXw9DB/YmPV3/2WzapleyMkfRUql0N4U0ZQFGsZxgTE8P48eNZsWIFbm5uSp3GZHy91pdbUVHsDNjBrsAd2gGPoN/367xow6Of8GXABf5c2BUzMxXHrsYy6fvjpGVkUaKwNUcWd8P8+XKkzzaFao+r5lSUqLinitVJX+o4O/PlilX07tmNrKxMypYrz//8NhllUynFPY3d3r17k5qWRlUT2FWi/qCMkl9+UjI0M1NhpmO5na738wOKqePNnz+fbdu2UbFiRe2+/v37M2DAAFnHm1odTx/0salvCq9CfUybwksfX/X5qDW3ibrQ5xc/rz8rJeoP8tvgTVXHa7PoEHcTknMtU66ELQc/aWX6k5sQxXqGPj4++Pj4KGVeIBDkE5RYgRIYGMj69esBcHd3Z/r06Vy5coVZs2bx7NkzXF1dmTt3LhYWFkRHRzN16lQePHhAlSpVWLZsGYUKFdK7Hvl/8o9AIMjXaGbO6NrkkpyczIIFC/Dz8yMwMJDTp08TEhLC1KlTmT17Nnv37kWSJPz9/QGYO3cuAwcOJDg4GGdnZ9auXWtQPUQwFAgERqFSqbTPDV+1aXqOMTEx3LlzJ9v28jLCzMxMsrKySE5OJiMjg4yMDCwsLEhJScHFxQUALy8vgoODSU9P59SpU3Ts2DHbfkMQiRoEAoFR6DOAMmjQIO7evZvtvQkTJjBx4kTt68KFC/Phhx/SuXNnbG1tady4MZaWltjb22vL2NvbExsbS0JCAoULF8bCwiLbfkMQwVAgEBiFnNtgzfsbN24kMzMz23tFixbN9vrq1ats27aNgwcPUqRIEaZMmcLRo0ezPZeUJAmVSqX9P/u5DBu5/s8EQ6XEgO5vHK6XH3LK2w/6n2x7iVuHyS4ft3GYbLsg76IqSCJL+s6bkF9ebkH59dcPfeyavl31mXStWfufG0eOHMHNzU07pc3Ly4vvv/+euLg4bZn4+HgcHBwoWbIkiYmJZGZmYm5uTlxcHA4ODgbVQzwzFAgERmHqSddvvfUWISEhJCUlIUkSBw4coEmTJlhbWxMaqp6nGxgYiLu7O5aWlri6uhIUpF5GGRAQgLu7u0H1+M/0DAUCgTLoc5ssh5YtW3L58mW8vLywtLSkbt26jB49mnfffRcfHx+ePn1KnTp1GDp0KABz5sxhxowZrFu3DicnJ4MzOYlgKBAIjEIzmqyrjD6MHj2a0aNHZ9v31ltv5Zi/tFy5cvj5+ellPydEMBQIBEbxpiRqEMFQIBAYhalvk/MKEQwFAoFRvCk9wwI9mmxqQShTigFJksTo94fz1Qu+lS5dGrfGDbTb1s0bddoZ0+ktzqzowdHFnvzwgTslCqkzb9/8th9HF3sCcHSxJ31bqpOPOpawZcfM9oQs8eT40m70a1lVL7+VEBkKDNihFdrq3KEdf0dG6j5IBqYShJIkiVHvD2fl888qOTmZESNG4NqgLq4uzniPHkFycu6JCHJjo99PNHVtoL2uatesSlE7K4MnB2u4eOECHdu3oUGDBrRo1pgzZ0J1H6QApl6Ol1coGgy/+uorunTpgoeHBz/+KD+7ixxMLQgFphMDunrlCh6d2hOw/R/frl+7RsmSJTl26qx26zdgUK523qnjyMfdnOk673daTN/F72fvsGq0GzWcipLwNJUW03cB0GL6LvyPqHPwfda/IafD42k+bRc9F/7BipHNcChmI8tvJUSGkpOTeX/4EDb7byMsLIwuHl2ZPOlDo2y+6KuxglBXr1yhy0uf1ZIvFpCRkcHJ0HOcCD1HcnIKy5YsMtjXQUOGcuL0WcLCwjhy7CRlyjiy/KvVlClTxmCbSUlJeHp05OPJUzl79iwzZvowYuhgg+0Zg5kZOpfjFQAJFOWC4cmTJzl+/Dg7d+5k27Zt+Pn58ffff5vMvqkFoUwpBrT+6zUMf+99evb6x7cTx0MwNzfn3bbuNG1Un0ULPv/XTPyXaVClFH9eiNEKTe08eYvOjSrQso4jmZLE3s86ATC9Vz3Mnv/0mpmpKGqnTjJrZ21ORmYWWTLn4yohMpSZmYkkSTx+8hiAp0+fYmMtLzjL8dVYQaicPqsWLd3x8fHBzMwMc3Nz6td34ZYJhKEAvly6GHt7B0aOGmOUnT/2/U7VqtXo1LkLAF09u+G3aaspXDQAOXMM83/XULFg2KRJE3766ScsLCx48OABmZmZ2NnZmcy+qQWhTCkGtPwrX/r2z+5bRkYG7du3J2DXHvbuP8T+fb/z9ZrVudo5HRGHu7OjVmhqcOvqWFuaY1/UhoMXYui56A8A2tcvh3fntwD4bPMZurhW4Pq6Ppz6sgcLfwkj/kmKLL+VEBkqXLgwq3zX0da9BWXLluWbdWuYv/ALg+2Z2tflX/nS76XPqv27HahZsyYAt6KiWOP7FV5evY32OT4+nlUrl7NkmfGKhhHh1ylTxhHv0e/j6upK184dyMhUIFmiDMRtsgwsLS1ZtWoVHh4euLm5GXVboDSVq1QhYOdv1HF2RqVS8dGkKdz4O5Ko54JLxvLe+6NYvXo1hQoVonjx4kz48GN27sw923HI1ft88es5Nk1pw6GFHmRJEg8TU/ju92tM/fEkSanqi3/17kt4NlYn0f1+4jus3HmJmmN/ofHkAD7uXpdG1UrL8lHKysrxQbe5uXkOpeVx8cIFFi2cx5lzl4iOjmbajJkM7Nfb6GVpSvj6MmfPhPJuO3e8x46ns0dXo+2tX7+erp7dqVJVv+e4OZGens7e4CBGjBzN6dOn8R43gZ7dPEhNTTXatr6ItP8y+eCDDxg1ahTe3t74+/vTr18/WceZXh0v9w/j/PnznDt3jiFD1Op1tpbq9Z5F7KywtTRw4bcZWFmoKGSlws/Pj/r162ulPa3NwcbKkkJW/7aduDXnNcQNnwe1qO+zD+xsnNwm23Et33Zk5chm2vf/XOjkcIgMAAAgAElEQVQhy9+qlSsSeuqEti0fxKpFhkoVyy1RZu5tc+jA77Rs0YI6b1UH4KMPJjBtyiSSnjykdGl5QTo3X0H92UfdNc5XzWdl9/zz2LJlC+PGjcPX15eBA01zB7J161ZWrVpl8PX0IpUqlKN27dq0aqH+nPv26sF471HE3L5B7dq1jbavD2JqjQ4iIyNJS0ujdu3a2Nra0qFDB65duyb7eFOr4+nqiaRlqvjggw9wbdqC2jWr8pXvWpzr1qNUmXK5pn/P7XlcRhakZUg8S5M4e+4C27Zt46fNv5KWlsZXq9W3Z8/S/m3AcYhay6KGU1F2fdqBxpMDSUxOZ/n7TcnKgqTUdGqULcagL//k8Zah/HXpHv5H/mbDgXAu+fZi9qZQtoXcpFQRaw4u8MB77RFCrt7XmajBvW0HJk+ezMUr4TjXroHvWrXIUG5tq6td69RrwGpfX27euUfl8o74/7qDylWqUKhYKaMU5zS+hoeHU6GKPF+zcvmwNJ9VUppE0O5dfPDBB+z8bS8NG7mSlMNnlN3XXN8GICEhgYiICBo0dpMtJ5Abrdt3YvLkyRw9cZoWTV3Zd+AQKpUKx/KVX61kCNiYIBC/jByR+IIgIq9YMLxz5w6rVq3SaiXv37+fXr16KXU6o1FKDEjDJz5zmD5pIk0a1iMjPZ2evXozfMTIXI8Jj3nC8sCLHFzQBTOVimNX7zP5hxOoVPDliKacWNYNgBPX77PhgFolrd/SAyx7rynTveqTJUksD7hAyNX7snxUQmSodZu2fDRpCp3at8Ha2oriJUri/6txYkgv+mpKQSgNM2dMRZIkxnmP0u5zc2vOilVrDLYZGRmBk5MTlpaWpnARR0dHtv66g48mjic56RmWVtZs9t+GjY3xg1P68qb0DBUThAJYvXo1e/bswdzcnA4dOmRL4KgLUwtCKSUGJHekFqCQlSrHnuDLaHqGckjcOowi/Uyfwiuv21UJkaXceoYvY2el0tkj1CD3i65P/fVBtngXyvQM+/8Qyr0nuT+rdCxqzZYRjUx+blOi6DPDiRMn6hUABQJBwaQg9Px0IZbjCQQCo3hTluOJYCgQCIziTXlm+MpgOH/+/FwPFJrIAoEAwNxMhbmOfIa63s8PvDIYFi9e/HX6IRAICihKiMjnBa8MhhMmTND+nZKSQlRUFDVq1CA1NRVbW9vX4pxAIMj/qFSgq+NXoIOhhnPnzjF+/HgsLCzYsmUL3bt3Z926dTRs2PB1+Gcy9H2AK7e8meyp4c/LyzCrr4qd3PJKqO4pobgH+kyDUek1ZUYJ9JmcJrdshh51srVUkZ4pY2qNCmzyWB0vP6NzWvjixYvZsGEDxYsXx9HRkSVLlrBgwYLX4ZtAICgAqJCRqCGvnZSBzmCYkpJC9erVta9btWqlM/WUQCD472CuUsna8js6b5MtLCx4/PixtptrypyEAoGg4POm3CbrDIZjx45l8ODBxMXFMWnSJI4ePcrnn3/+OnwTCAQFgDd+nqGGNm3aULVqVY4ePUpWVhbjx4+nWrVqr8M3gUBQAFCpVNpM67mVye/IWoGSkZFBVlYWFhYWWFiIRSsCgeAf3pSeoc4BlG3btjF06FAuXLjA6dOnGTRoEHv37n0dvuWKEipuYHrFPY0ymkYdzVTKaGC4r7oU9zSqe6ZS3DPG15zsvKhkp+HO7dtUr1Ke+Ph4o+yvW7MaF+e3cHFxYdiQgTx8+DBf+bp+3RqaNqxLs0b1GNCnB3H31enZqpR3oGXThtrNX4byoqnQLQal3vI7OoPhhg0b2LFjB4sXL2bZsmX4+/vj6+sr+wSLFy9mxgzjFNZeRgkVN1BGcU+jjHbi9FlOnTplEmU0MNxXOYp7GtU9UyjuGeNrTnZeVrID2PjzT3Ro14qY6Gij7B/68yDLv1zCb8F/EBYWRsdOnZk4zjDhJiV8PXsmlNUrv+T3g0c4HnqeqtVqMP/z2Vy7do0SJUpy5MQZ7dZXh/KiKTFDfZuc61YAJtfovOe1tLTEwcFB+7ps2bKyE1QeO3aMHTt20Lp1a4MdzImcVNyaNKrPytVrjHo2oVHcq1ypoqlczcbixaZRRgPDfc1Jcc93THMOXIjRKu5p1PXMVCqyJMkoxT1jfH0ZjZJdhQr/2ImOjmb3zkACdwfjUvcto+yfPRNKm7btKVe+PADde3gx3nsUaWlpWFlZ5bmvDRo24szFa1haWpKSkkJM9F0qVa5CSIhaebFTu1Y8efKY7j17MWX6TJPqweSGHO27/B8Kc+kZXrp0iUuXLlGrVi0+//xzrl27RkREBEuWLJG1+uTRo0esWLECb29vkzoMyqi4gekV914kPj6eL7/80iTKaGC4r3IU9zp9FgxgEsU9Y3x9mZyU7MqWLctm/23UeK5mZwyNmzTl0J8HuBUVBYDf/34kLS2NBw8e5BtfLS0t2b0zgNrVKxJy5C8GDx1ORkYGrdu0Y9vOIIL2/cn+fb/zzVr5d29GI0cMqgA8NHxlz/DlpKx//vmn9m+VSqUza83s2bP5+OOPiYmJMcix3AShzMnCwlylFS7S/F/I2lyGMJQ85IlMgdzfPL8fv6V79+68Xcv0I/FyfX1RaOrymuzSl5/2awCAd6d/xIQWD2vC4mFN/mVn6XtNWfpeU0V91Ue8ye4FUS07K1W21/rwblt3Ppszh4H9vDAzM2PEiBGULFmS4oWtDbZpuK+vPt/Avl4M7OvFt99+S69unYmIiGDUqH/6NVOnTGLVqlXMmPqxQT7ri5mMtcn6PDI8cOAAvr6+JCcn06JFC3x8fAgJCWHRokWkpqbSuXNnPv5YXbcrV64wa9Ysnj17hqurK3PnzjV4kPeVRx04cMAggwC//PILTk5OuLm5sX37doNs5Jb236lcRY4dP0FKhvqLFRmlVkYzty4kOwW8LuSITIH8tPdbtmxl9epV8tKz6/krKtdX+0H/o7CNBQ7FbPk7Vt2Ldiphx/Glnkz/3ykuRCVw6VYCoA6cBy9E895Xh4lc35dSg34m8/m98ddjW3D59iNW7b6k99pkub7KFW96OT1/UpokO13/yyQmJtLEzZ0BQ0ZgZ6Ui4sYdPv30U2wKlzDYpqG+5rQ2OTIygvv37uHWoiUAvQcOx9vbGz8/P2q8XR/numrlxWepmajMLXmSkpXteJUKilibXpjJzAydAyRy9aBu377NnDlz+OWXXyhVqhTDhg3j0KFDzJkzBz8/P5ycnBgzZgyHDh2iVatWTJ06lfnz5+Pi4sLMmTPx9/c3WM1Qp4sPHz5kw4YNrFmzBl9fX1atWsXkyZNzPSYoKIijR4/SvXt3Vq1axYEDB1i4cKFBDuZEu3c7cPLEcSLC1SJI361XK6PlVxISEoiMjKB58+Z57QpOJewImtORIrbqZ4BTveryy9GbvF2hOD59XTBTqbCxVD9r2h5ykweJqdx9kESPZpUAKFXEmua1y3A6Ii7P6qAUMdHRdOrQRjszYckXC+jTt3++mSMXGxPDiKEDefB8FNp/y0beruPM5cuXWfj5HDIzM0lOTubbr9fi1bvPa/NLH93kmJgY7ty5k217cSbIvn376NKlC46OjlhaWrJixQpsbW2pVKkSFSpUwMLCAk9PT4KDg7l79y4pKSm4uLgA4OXlRXBwsMH10Nmf/Oijj7CxsSEiQv1lDgkJoVGj3IVdfvzxR+3f27dv5+TJk8ycOdNgJ19GCRU3JYmMjMDxuTJahgKCQPogR3HPwlz9G2kKxb2CRM1atZg8ZTqtWzZDkrJo1rwFy1e+xmdvOmje8h0mT/8Ej45tsbCwwNHJiY3+26le0YkxY8fj5lqf9PR0enj1Zth7uSsvmhJ9bpMHDRrE3bt3s703YcIE7WO5qKgoLC0t8fb2JiYmhtatW1OjRg3s7e215R0cHIiNjeX+/fvZ9tvb2xs1ZU1nMIyOjuaPP/7gs88+o3///kycOJFx48YZfEJT0alzFzp17qKXOppcNmzYYFKbrq6NuXgl3HQGX8AQX9fvvcr6vVf/tX/c1yHav198vngxKkE7qGIMpmrX9d/9mOP+Z6lZOe7XB+9xE/AeN0EvdbzcMLWvI0ePZeTosdn22dmYseab7w2yZxJkrE3WDKBs3LjxX4leihYtqv07MzOT06dP4+fnh52dHWPHjsXGxiabfUmSUKlUZGVl5bjfUHQGw9KlSwNQuXJlrl+/Trdu3cjIkH9Fe3l54eXlZbCDAoEgf6PP1BonJ6dcy5UuXRo3NzdKliwJQPv27QkODs42TSguLg4HBwccHR2Ji/vncU18fHy2aYD6ovOZYalSpfjuu+9wdnZm27ZtHDhwgJQU+dMqBALBm425SqXVQXnlJrPH1qZNG44cOcKTJ0/IzMzkr7/+olOnTty4cYOoqCgyMzPZvXs37u7ulCtXDmtra0JDQwEIDAzE3d3d4Hro7Bl+/vnn/Pbbb7i6uuLs7MyqVauYMmWKwScUCARvFqZM4VW/fn1GjhzJwIEDSU9Pp0WLFgwYMICqVasyceJEUlNTadWqFZ06dQJg2bJl+Pj48PTpU+rUqcPQoUMNr4ckd27Iaya3qTUvosQzQ31s6tN8tpYqk0+t0cdXfdP+F+ln2rT/+vgqN5W/qZ7tvQ67+tjUJ+1/URuzf02jyQmlptbMDLrOg6T0XMuUsrNkYRfjJ8YrySt7hg0aNMj1S3nmzBlFHBIIBAWLNz6F1+7du1+nH/9CkiSZUksqWb0zpT4MJYSmMjL1GGm0MJNdXgmhqVqTd8m2F/WVp+zyV5d1lW1X7keg72clN9OKEoJUlub6+SqnvFLh6E1J4fXKYFiuXLnX6YdAICig/GfS/gsEAkFuyBF8eiMEoQQCgSA3zJCxAuW1eGIcsnxMSUnh2rVrSJJEcnKy0j4JBIIChEr1z5K8V20FoGOoOxiGhYXRvn17xowZQ2xsLK1btxYjyQKBQIt6AEVXooa89lI3OoPhkiVL2LBhA8WLF8fR0ZElS5awYMGC1+GbQCAoAOjqFcpJ5JAf0BkMU1JSqF69uvZ1q1at/rXQ+nWjlMiSUiJTYBpBpC2bfsatcQOaN2lIu9YtORN6mqysLHxmTqdxg7o0bVSfgf16ZVuvaYifI98bxrJl+vnZsZ4jwdNbETTVnc3j3ahYyg6Asws6EjTVnaCp6mVSPRqpZym8VbYI2z5swZ5p6vda19Z/TenFCxdo3bo1zRo3pEWzxpw5E6q3jZxQSrwqOTkZ79EjcG1QF1cXZ7xHjzDqsdPFCxfo2L4NDRo0MGn99UXnUrznW35HZzC0sLDg8ePH2qHxv//+W7bxIUOG4OHhQffu3enevTvnzp0z3NMXUEJkSSmRKTCNINL169fwmTmdHTuDCDl5hmkzZjKoX29++OEHws6c4cjx05wIPUfVatWZNd2w5ZIaP3ds189Pa0szVg5uwJjvT9Fl6WH+uBTL3F7OVHUoxKOkNLosPUyXpYcBCAhVp29aOaQh3xyIpPOSw3z081nWDG+k19y6pKQkPD06Mm3aNI6fOsOMmT6MGDpYL79zQknxqgULFpCRkcnJ0HOcCD1HcnIKy5YsMsi+pv4fT57K2bNnTVZ/Q1DxfBAlly3/h0IZo8ljx45l8ODBxMfHM2nSJI4ePcrnn3+u07AkSdy8eZODBw8qqrVsKpElpUSmwDSCSNZW1viuW4/j86wfDRu6Eht7jxo1ajB/0WKsra2f72/E+q/XGeXniyJGcjB//lyoiI06YWwhK3NSM7JoVKUkWVkSv3zQXJtM1kwFWRJ4LD2szZxdqZQdT5LTta/l8Me+36latRpdunQhOV2iq2c3KleuopffOaGkeJW7uzt9+lfC7Hna5/r1Xbhy5bJB9jX179S5C4DJ6m8Ib/ykaw1t2rShatWqHD16lKysLMaPH0+1arp1PDQ9yBEjRvDo0SP69u3L4MGm/eXSiCwdPX7aaFu5iUy9mG/NEFauUicI/XP/7wbbqFS5MpUqVwbUPzSfTJtMl66etGrViqfPc+MlJCTwxcL5vG/gD4PGz/379PMzKS2Tmf7n2f5xCx49S8fMTEWvlUdwq1GaI9fj+WLXFSzNVVz4ojPD3avww6Eb2sB3+NO2lC9px9ztF/VS3IsIv06ZMo68//77nA07R/HixZm/aLFefueEKT4rUAtCAez/Y592X4cOHbRrk29FRbHG9yt813xjkH1N/b1Hv8+lC+cpWsw09TcEjRyorjL5HZ3B8NGjRxQrVowuXbpk21e8ePFcj3vy5Alubm58+umnpKenM3ToUKpUqUKLFi2M9/o5P3y3nu7du1Olqv6i5i8jvZQoUsPrkluUy7Nnz/Ae9R537txhx84g7f6/IyMZ0NcLt+YtGO39epPv1nIqwocda9J+4Z/cepDEcPcqfD3Clc5LDmvLaJ6MdaznxA+Hbmj3u887QIWStvzyYQvC7yUSEi5PiS49PZ29wUEcPHiQeg2bsGtnID27eXAt4qa2l5xfOXsmlP59vfAeO57OHvKXHb6Ipv579h2gVYtm+G8LyLP6q5DRM3wtnhiHzmDYrFmzfwUJe3t7Dh8+/Ioj1DRo0IAGDRpoX/fu3ZtDhw7JDoY2lrqbb/uv/qxatQpbGWV1UbVyRUJPndAqtz2IVYtMlSpWyGjbLyJLHc4i50e5t27dwtPTk9q1a3P4z4PY2toCcCrkEP369WPatGkmSa/2POu/LBW7qK88tX//NbvdK9/T0Kx6qRz3A2yeIF8jplKFctSuXZumTdUqfX179WC89yhibt+gdu3aOo6WhxJKfju3b2XcuHH4+voaLFwE/9S/VYtmgDL1l4u5mQoLHQMkBWEARedHffXqP+nh09LS2L17Nzdu3MjlCDWnT58mPT0dNzc3QH1rp8+zw5T03BM1JCQkaHVZTJEWy71tByZPnszFK+E4166B71q1yJSp04PJUYfLKfFCYmIirVq1ZuDgoXziM5tM4GlqFtcvhdGzZ09+9NvEux06aW+Zc0KjbaILzenl1L3W5F00r1GKJQNc6LHiL+IT0+hc34kZnrXZcy6Gqg6F8f7hFJYWZlxf5sH0LefYcuwWh3zasnzPNQJD7+JQ1JodH7fE+4fTXLj9GNCdqKF1+05MnjyZ0NBQ3q7XkCN/HUalUuFYvvIrrwelVAflKvnt37ubiR98wM7f9tKwkWuu6bx0uaqp/9ETp2nR1JV9Bw7prj/yOhn68p95ZvgiVlZW2jT+uhTyEhMTWbVqFVu2bCE9PZ0dO3Ywd+5co5x9EVOLLOV3kalv1q3h1q0odu0MYNfOAO3+Mg72SJLEHJ+ZzPFRi25VqlyZzf6GSbQaQkj4A9YfiGTrhOakZWbxOCmdkd+d5PaDZOb1dub3Ga2xeD5SvOXYLQBGf3+Keb3rMqZtNSQJFgZe1gZCOTg6OrL11x2MGzeOp0+fYWVtzWb/bdjY2ChSR1MwZcoUkCTGeY/S7nNza86KVWv0tqWp/0cTx5Oc9AxLq7yrv6l1k/MKncldHz16pP1bkiQuXrzI3Llz+eOPP3QaX7lyJXv37iUrK4uBAwcybJj8FFK6eoYa8jphqj7ItatPCq/C1ma59gZfRG7PEOT7qm8Kr0ofmjaFl9zPH5S7BpRIRKtPT0r2dwBleoZrjkbxWEdjFbOxYHyLSiY/tymR/cxQEzNLlSrFrFmzZBn/6KOP+Oijj4zzUCAQ5GvelJ6hzmD466+/4uzs/Dp8EQgEBRAzGStM5CbKzUt03jdNnTr1dfghEAgKKJoUXrluee2kDHT2DGvVqsWuXbto1KgRdnZ22v265hkKBIL/Bv+Z0eT9+/cTHBycbZ9KpeLKlSuKOSUQCAoOb/wKlLS0NKysrLhw4cLr9EcgEBQwVDIGUApALHx1MOzXrx87dux4nb5kQ59pEAVBbEYf9JkCY0h5U3JlqX7LyeSWLztik6xyCX6DZJeN+XGQrHL6os/ggFIDCXK+A0p9S954DZR8qi0vEAjyGW/8M8PU1FQuX778yqBYp04dxZwSCAQFhzd+nuHt27eZOHFijsFQpVKxf/9+RR0TCAQFA/UzQ126ya/JGSN4ZTCsXr06AQEBr3pbIBAIgP9QCi+BQCDIDTkaJwUhhdcrhyFdXV1fpx8CgaCAokv/RLPpy+LFi5kxQ61DdOXKFby8vOjYsSOzZs0iI0OdGCI6OppBgwbRqVMnxo4dy7Nnz4yqR474+PgYbPR1sG6NLw3r18HZ2Zk+Xt25f/++SeyaShlNabtKKfmZ0u7L6nAa7ty+TfUq5YmPj9dpY9S7NTm5xJPD8zvz3bgWFC9kRVFbSzZMfIeQRR4AfOjx9r+OG+Relc2TWuntsxLtunnjzzRpWB8XFxdav9Oc0NPGy1QoaVdvdGom668if+zYsWxT+6ZOncrs2bPZu3cvkiTh7+8PwNy5cxk4cCDBwcE4Ozuzdu1ag6uh6AS1AwcO4OXlRefOnZk/f77J7J4JDWXlimUcPBzCxYsXqVa9Bp/P+dRou6ZSRlParlJKfqa0m5M6HMDGn3+iQ7tWxERH67TRsnYZPuxahx6L/sDdZw/7zkWzckRTZvauR/TDJJp/8hsAI9rVoHH10gAUL2TF8uFNWDTYFZWeT6qUaNfr164xc8ZUAn8LJiwsjBkzfejf18som0raNQSVzE0ujx49YsWKFXh7ewNw9+5dUlJScHFxAcDLy4vg4GDS09M5deoUHTt2zLbfUBQLhrdv32bOnDmsXbuWnTt3cvnyZQ4dOmQS2w0bNeLilXCKFStGSkoK0dF3KVmqlNF2Ncpoffr0MYGXytnNSclvy+aNRs8NNaVdjTpcz17/1Dk6OprdOwMJ3C3vgnWpUpJDl2KITlArqOw6fYtODcoxe/NZPt18RlvOytKcJ0lpAPRsWomYR0nMfuF9uSjRrtbW1qz95jucNKqGjVyJvXePtLQ0g20qadcQNMvxdG0AMTEx3LlzJ9v2cu979uzZfPzxx1ohtvv372Nvb699397entjYWBISEihcuLA2g75mv6EoNoCyb98+unTpgqOjIwArVqwwqVCNpaUlOwMDGDdmJFbW1syeo1u+VBemUkZT2q5SSn6mtJuTOlzZsmXZ7L9Nto3QiHjGvFuLCqUKcfvBMwa9Uw1rS3NKFLIi9nEK33irNVOOXoklPCYRgB8PhAMw4B39RcKUaNeXVQ2nT5mEh2c3rKysDLKntF1DkNPz07w/aNAg7t69m+29CRMmMHHiRAB++eUXnJyccHNzY/t2dbb2rJfE2iRJ0uZYfXnljTGr0RQLhlFRUVhaWuLt7U1MTAytW7fWK9GrtQzP+vbqQd9ePfj222/p5tGRiIgIrSatscgXA3r9ds3JwsJcpbWj+b+QtblRtg2zm/vF97IgkuZ/zd8vvn6RBL9/ls6dX9kj23tXfXtle93LrTK93CrrtKMLpdoV1KqGfYcP5/bt2wQHB5vs2lLKrj6Ymal0LjPUvL9x40YyMzOzvffiD01QUBBxcXF0796dx48fk5SUhEqlIi4uTlsmPj4eBwcHSpYsSWJiIpmZmZibmxMXF4eDg4PB9VCs6TIzMzl9+jR+fn7Y2dkxduxYduzYgZeXvOcaqRm8Mu1/ZEQE9+7do0XLlthYwMChI9RBNy6BUia4XQb5YkB5YdepXEWOHT9BSob6CxsZpVbyM7cuZJRtQ+zqSnn/oiDSy2nvk9KkV6bBL/f+JgrbWGBf1IYb95+q/Sthy5EFHoxad5TLtx9x71EyCX6DGLf+GN0aV2DA8n8ewwx4pyrdG1ek//I/tft0rU1Wql1v3bpF7x6evP12bfbsO4iNra1Jri197aqQ18nQFxW6n7dpQqXmtv5V/Pjjj9q/t2/fzsmTJ1m0aBFdu3YlNDSURo0aERgYiLu7O5aWlri6uhIUFISnpycBAQG4u7sbXA/FnhmWLl0aNzc3SpYsiY2NDe3bt+f8+fMmsR1zL4ahg/trRyO3bNpInTrOJguE+Z1273bg5InjRISrbwm/W69W8suvdg3Fsbgtu2a9S5Hn3Z3J3ZzZdvwmPZpWZHrPutpyPZtW5PBlw58VaVCi/omJiXRs35ruPb3YsmWLVt7VWJSyawi6RpK1I8pGsGzZMhYtWkSnTp1ISkpi6NChAMyZMwd/f3+6dOnC6dOnjZIZUaxn2KZNG6ZPn86TJ08oVKgQf/31F+3atdN9oAxatnyH6TNm0bF9aywtLHB0Kov/tv/OahmllPzym0JgxL1Evtp1iX2fdcLMTMXx6/eZ9r/TWFmaseK9JtqpNWE3HvL13qs6rOlGifp/vdaXW1FR7AzYwa7AHWjGYoJ+32/Uj7dSdg1Bn2eG+qBR4gR46623cpyNUa5cOfz8/Ayw/m90quMZw6+//sqGDRtIT0+nRYsW+Pj4yH6ml9tt8osooWSX1+p4eW1TH7tyleFAP3W4cu/LT+FVYshGWWX1SeH1Jn5WSt0mB12+T1J6Zq5l7CzN6fK24c/zXgeKPm7t3bs3vXv3VvIUAoEgj3nj8xkKBAKBHJS6TX7diGAoEAiMQ85quwIQDUUwFAgERqFOxKBjnuHrccUoRDAUCARG8can/RfIIyMzS35hCzNZ5fXL/aaSvXZWCeEsfQWO5JbXZ+RXbtmS/X+QbTPp1xGyyz/cMkK2XbnoN8lD/jWgxP3qGy8VKhAIBHIwQyXjNlkEQ4FA8KYjBlAEAoFAPDMUCAQCAFTP/+kqk98RwVAgEBiFWIEiEAgEvDlSoQVhLmSOKCGGYyqbWzb9jFvjBjRv0pB2rVtyJvQ0aWlpjBkzBlcXZ1xdnPlk+pR/JbnUh8CAHVpfO3dox9+RkQbbehFJkhj53jCWLTOdIJZS4l17gn6jXr161Kujn3iTd+fahH3Vi+NLu7Pho9aUKKzODj2641uELOnGmZXqTClWFuqvR91KJdk/34NTy3tyYIEHrZxzz8n3KgICArAvUcSgY3NixrTJ1M+WhNsAACAASURBVKxWCRcXF5q6NmDIwP4ms60PKpn/8j2SQvj7+0vdunXTbg0bNpTmzp0r+/iUdElKfsV27uJVydHRUfr7VrQkSZK0Y+dvUvkKFV5ZXs5mqM3ElMxsW+j5y1IZR0cp/MYdKTElU/o1YJdUvnwFaeHiZVLPnj2lx0npUsLTVKlx02bSD//7+V/HJ6ZkSklpWbluDx4/k+zs7KQLl69LkiRJi5d+KXXs3EXncbrqcvb8ZalV6zaSnZ2dtHTpUqPaU7MdPX5aqlipknQv/pEkSZL04ceTpfdHjjba7q3o+5K9vb10/fp1KTldkiZNmSaNHjM212Nse30vdZz9m3Qn/qlUfdRmybbX99KIr/6Utof8LfVf8od05XaCVHaYn2TX+3tJkiTJx++UZNvre+lm7BNptO9hybbX91Ll9zdJ1+48kiq/v0my7fW9ZNvre1n+Xrh8XapWrZpUqFAhWeV1fZZJaVlSk6bNpAOHjkiSJK98clqWyb7fL3I8MkE6dO1BrtvxyARFzm1KFOsZ9unTh8DAQAIDA1m2bBmlSpViwoQJJrGthBiOqWxaW1nju249jho7DV2Jjb3HmLHj2bp1K2ZmZjx88IDHjx5RomRJg3zNzMxEkiQeP3kMwNOnT7GxtjHI1otohKu8eplOEEsp8S6NeFMNPcWbGlQrzYHz0dx9mARA4IkourhWZHi7mqzadZGEp2na3ICbD0dQqog15UsVYuOhCABiHyVz8dZD3nUpJ9vXpKQk3hs2mOXLlxtQ05xJTU3lXNhZli9bSt26dRnQtze3b90ymX19eFN6hq/lNvmzzz7j448/pqSBX/6XqVS5Mp27qBN7SiYSwzGVzUqVK9Op8z92Ppk2mS5dPbGyssLS0pLZPp9Q7+0aODiUoXmLdwzytXDhwqzyXUdb9xaULVuWb9atYf7CLwyy9SIrV/nSf8BAo+28jEa8q3z58hz56zBDh71ntM3cxJty41R4HK2dnahQuhAAQ9vUwNrSnFrlimNfzIbAWR048aVac+XRszQeJKZy8/5TBreuDkBlhyK0eKsMjiXsZPs6YewYRo4aQ7169fSt5iuJiY6mVZu2zJk7j/Pnz9OkaVP69OphtEKiIZip5G35HcWDYUhICCkpKXTu3Nnktp89e0bfvn2JjIxg3Tff5Subz549Y+igfkT+HYnvum+1+z+fv4jb9x5QsVIlPpo4ziDbFy9cYNHCeZw5d4no6GimzZjJwH698+SLIJdu3XsQHx+Pz6ef4enRkawsPZYx5oD0kmKaBnNz81yPC7kSy8JfzrJ1WjuOLO5GliTxIDGFjKws2tYrx+DlB2k5fScAnw1oBECfxX/Qs1llTn7Zg0/7NyD4zB3SMuT5/826tVhYWDDsPdMu2atcpQoBO3+jjrMzKpWKjyZN4cbfkUTdvGnS88hBH6nQfI3S9+ETJ06Udu3aZXK7UVFRUr169aR+/fpJSUlJ+cpmTnaOHDkiXbt2TVvm4MGDkrOzs0H2ly5dKg0dOlT7OiMjQzIzM5Pi4uIM9vlFhg0bJi1dutQktsLDw6W//vpL+1rja3x8vFF2/fz8pG7dumlf37x5UypRooRRNpWgcePGUp06daT69etLtWvXlszMzKT69etLd+/eNcruuXPnpJ9++kn7OisrSypcuLB0+/ZtY13WmzM3HkvHwhNy3c7cePza/dIXRafWpKWlcerUKb74Qv9buNzS/icmJtKqdWsGDxnGvLlzSMkwPp26oTZfTryQmJhIq1atGTh4KJ/4zCYTeJqaRfDv+zlz+gQb/XdgZmbGhp9+5p1WbXia+u8ehq5EDXXqNWC1ry8379yjcnlH/H/dQeUqVShUrBTJ6a/uHcpN1KCpkilS1N+8E8OwwQM4cTqM8o6l2fCTWryrULFSRtl3b9uByZMnEx4eToUqNfBdqxZvys1myf4/UKNsUYLmdKbhR9tJTE5n5Ug3siSJ69GP6dW8Cp7z9pKSlknSryP4es9lJn1/nAMLPFi16xIBx2/StJYDGye1od4H20hKVZ8st0QNh0NOav++d+cmzs7OHD8dBuTevpKOXn5apooPPvgA16YtqF2zKl/5rsW5bj1KlSn3ymtABdhYKtBDe0OyuyoaDK9du0blypWxs5P/fEUOSojhmMrmN+vWcOtWFLt2BrBr5z8iVQG79vAg7h5ujRtgZmaGW/MWfDZvoUG+tm7Tlo8mTaFT+zZYW1tRvERJ/H/Nn4JYSol3acSbevfuTWpaGlVlijeFRz/hyx3nObTIEzOVimNXY/n4+2OkZWRRsrA1Rxd3w/y5Ts+cTaEATPj6KGvHtmRmHxeepWTQZ/Ef2kCYV9RxdubLFavo3bMbWVmZlC1Xnv/5ydONUYKCMECiC0UFoYKCgti3bx8rVqzQ+9iCIgilTwqvwtZmOfYEX0afFF62lqpce4Mvok8Kr7xuVyVs6pvCy663aVN46eOrPl9LudeAUj3DsFtPSMvI/fxWFipcKhbNtUxeo2jPsEuXLnTp0kXJUwgEgjxGJGoQCAQCkDWLsCDcRotgKBAIjEL0DAUCgYA3ZjBZBEOBQGACCkK004EIhgKBwCjUK0x0l8nviGBoJPop2elfPr+j38ysvFXy01fFTm758iO3yCoXv6G/7LJ3vtMvHZec9lLyynsTruoCm89QIBDkE1QyN5n4+vri4eGBh4cHS5YsAdQ5Djw9PenQoUO2ectXrlzBy8uLjh07MmvWLDIyDJ/IKoKhQCAwClOm8AoJCeHIkSPs2LGDgIAALl26xO7du5k5cyZr164lKCiIixcvcujQIQCmTp3K7Nmz2bt3L5Ik4e/vb3A9RDAUCARGoZlao2uTg729PTNmzNCmvKtWrRo3b96kUqVKVKhQAQsLCzw9PQkODubu3bukpKTg4uICgJeXF8HBwQbXQzwzFAgERqHPPMOYmJh/yV0ULVqUokXVS/U0yXoBbt68yZ49exg8eDD29vba/Q4ODsTGxnL//v1s++3t7YmNjTW4HiIYCgQCo9BnBcqgQYO4e/dutvcmTJjAxIkTs+0LDw9nzJgxTJs2DXNzc26+kKdRkiRUKhVZL+W01Ow3FBEMBQKBUejTM9y4cWOOPcMXCQ0N5YMPPmDmzJl4eHhw8uRJ4uLitO/HxcXh4OCAo6Njtv3x/2/v3ONqStv//94dRZEcymnkMGQacorJpOQhOsmhGfEQ0xh8J2dmxLcZ8zPDYDzOxsMwvBjjVBHDGEx4qIScByGHeCTkUCkd9r6/f/RrK6d2rb2HuN+9+mPtvdZnXfdea1/7Xute9/W5e5eaNWuWuR3l+p6hEIJBgwYxd45+nNwM5eJ25vRpunXxoFWrVnz4gTPHjiUo1jSUM5ohXAcN0X5DxFmUsjjZDenyLoe+92bv1G4sG+6CdaUnlhG1bQrK2NlYPnnN1aEm0d94sv/b7myZ6IFjPetSx6nv70BZKM1gcq1atahbt26x/6LJMCUlhZCQEGbPno2PT4F9hpOTE1euXOHatWuo1Wp+++033NzcqFOnDubm5iQkFJxPUVFRuLm5lbkdBu0ZRkVFsWzZMgDc3NyYOHGi3rTPnzvHmFEhHDkcT5hjc8V6xxISmDd3NocTTmJbrQpjxk1g6pSvWLRkqSLdrKws/Hy6sWTpcnr18GFjxBaCgwZw4sw5RbqH4uJY/cs6PNw+1LmEV0lcSExkcugXxB4+RoN6tdiybQeBH/fm4uWyGw0Zov2GiLMoly5eZMKECaV6htLVoSajvJvR7dvdpNzP5qMO9swZ7Ezw4hg+7mDPxF7vF1vfysKUVSNd+WRRDAfOpdK4lhW/jOqI21c7dbYU0Pd3oMzocT7eihUryMnJKVYQOjAwkBkzZjBy5EhycnJwd3ene/fuAMyePZuwsDAyMzNxdHQkKCiobG3AgMkwOzubadOmsXPnTipXrky/fv2IjY2lQ4cOetEvdHKzr/+OXvQKXdxMTU21Lm729g0U6+7ZvYuGDRvR3auglJmvXw/FukWd0UaFDKdR4ybMmj2Heu8o+yxe5hBYVrMtQ7TfEHEWUtTJrn9/3c2xnOyrsv9sKin3swHYfvQ68z5xpo5NRbxb1+Hj2fuJn+mjXb+RrSXp2XkcOFdww/9SSgYZ2Xk4N65OzHndrkj0/R0oKyodZqDoei8vLCyMsLCw5763devWZ15zcHAgPDxcJ+2SMNhlslqtRqPRkJ2dTX5+Pvn5+Zibm+tN3xBOboZwcbt08QK2tnYMH/opbdu2xdfLk3y1sgqnhnJGM4TroCHab4g4Cymrk13C5Xt0bFaTutUKLof7dWyIuakx+WoNgxfFkJRa3LXv0q0MKpoZ08nRDoBWDWxoWqcKtlV0t3w1lJthadHzM9evDkMarKxevVo0b95ctGvXToSEhAiNRv8m1vo0LyrKsmXLRIMGDYRarVak89133wkLCwtx6NAhIYQQW7ZsEba2tuLx48f6CFMIUWAGZGVlJS5fvqwXvczMTBEQECDat28v7t9XZv5tyPbrM04hhFi8eLEYPHiwEEKIK1euiEqVKinW/Dsw1HdAV5JuZ4nEW49e+p90Wz+mbYbEYJfJ58+fJyIigr1792JlZcWECRNYsWIFQ4YM0Wl7Xcv+A+RplJeTT7p0iVu3bvGhqysVTKB/UDDDhw8n5c79l3qgiBJ6Y9Vta9HUoRktWrcDwNO7B2r1EM4mJuHQrFmZYj196hSnT52k/4CB2pLvQgjyMVFsCJWcnExATz/ee68Zv+/eSwULC0XGRWVtf0mxljZOXfh55Sqys7NwcmpJXl4u2dnZODm1ZPO2HdSuXfuF29Udsh7LCibUqFyBK7czAbCztuA/33WnyYjN2vXurgqkyYhI7mXmolLBe3Wt+ev6A+378TO8CV4cy1/XH5R6brIu3wEVYG6Ab/ybUtzVYJfJBw8exMXFhWrVqmFmZkbv3r05fPhwyRu+IlJupRA0IJC7d+8CsP7XAhe3shpMFeLZzYtrV69oR1APHvgPKpUK+wZlv29mZGTEhHGjuXrlCgDLli7h/eYtqFu3rqJYMzIy6NalE/69erN+/XosLCwU6YFh2m+IOAEOxh0m4cQZ4hNOsGPHDiwsLIhPOPHSRFiInbUFUaGdsaxQkG3G+b1H5KFrL1xfCFg/zo2W9lUB6NmuHo/zNMWSY3lBnzNQXiUG6xk6ODjwww8/kJWVhYWFBdHR0TRv/gpHvErAUC5udnZ2bAjfzJiRIWRnPcLUzJx1GyOoUEH3e0NPYyhnNEO4Dhqi/YaIUymXbmUwf/s5dn3dFSOVikMX7xK65uWPEA37dxxzPmmHmYkRqQ+yCVpw4G+KVr+8KZWuDeqOt2zZMiIjIzE1NaV58+ZMmTJF50GU8uKOV5qPrzROdobQNIQ7nqHar2ushjj+pdUtTQmv6oP1X8JL11gNdZmcnJZDvublx9XESMU71fQ3gGoIDPqc4dChQxk6dKghdyGRSF4xb0rPUE7Hk0gkipAeKBKJRAJvTDaUyVAikShCpSrZ40ReJkskkjeeN6RjaNjRZCWUl9FkQ+gaaoS2hAG/YlQyU/Eot+QNSuNv9apHk/PVuhVAALA0NyIzR7f1dTX5Kk37bYPW6LQeQPq6ICr3W13ieu9Ur8SZhX101tWVlIc5lPTRGhtBrSpv8WiyRCJ5GygP/b6SkclQIpEoQj5aI5FIJLw59wxlMpRIJIowQoUoIduVh5L6MhlKJBJl6NLtKwddQ5kMJRKJYspBriuR8tB7fS6GMAT6fcd2nFu1oGnTpvQP/Ij09HQ9RFqA0KNxz9o1q2nfthXt27aiZcuWNGvSkMoVzcrsGSuEYOing5lfJLbq1avj4txK+79h3doyx2sIQygoOF4tWrSghaOy47X+119wcW5Fh3at+UcnV44lFD+XJk4YS0AvP0WxRm3ZTIsWLWjfthVenv/gclKSTtsN6+ZAwr/8Ofi9Lz+P7EjVSsWref8y1r3YcgVTY2YPbseB7305Nqcno3wdFcWtC29KCS+DJsNly5bRrVs3/Pz8WLJkid50Cw2Borbv5MSJE4RODiPw496KNO/cucOwIZ+wbmMEiYmJNGjQkK8mh+ol3vPnzuHl+Q+9eTX8c2AQ8UePE3/0OEeOHMHW1o458xdia2tbpth8undhS+ST2C4kJmJjY0PckePa/779/lmmWAsNocaO/4Ljx48TOjmM4KABZdIqSuHxioiI4NRfZT9eFy4kEjZ5Ipu37iD28DG+DJ3MP/sGaN+PDN/IhvXKyqNlZ2fz6eCBREZGEn/0ON4+vowfN7rE7Tq+Z8sYP0f8pu3GddJv7Dr+X+Z/5qJ9f7SfIx0cih/zqf1bU9XSHPfJ2+n0v9v5zLMpzo2rK4q/JFQ6/r3uGCwZxsbGsm3bNiIiItiyZQsnT55k165detF+mSFQWdmzexdt2jrT+N13ARg67H9Yv26tYl8ReGLc89FHHynWepqZM2dSo0ZNhnw2rEzbL/v3YgZ/8im9+jyJLf5QLMbGxnTt7Eb7Nk58P23qM163uvI8Q6g1v24ok9bTum3aOvOuwuNlbmbOoiXLsCs8l1q3JTW14Fw6f/4c8+bMJnTyV4piVavVCCF4+PAhAJmZmVQwL7meY8sG1dh3JoWb97IA2HokGa/WdTE1NsK1mS1dnGrz854Lxbbp69qQaZtOoBGC9Ow8fL/dxYWbDxXFXxJvSs/QYPcMz549i6urK5aWlgB07NiRPXv24OnpqVi7vr099e3tAf0ZAt24cZ26detpl+vUrUt6ejoZGRnPmFyXlnkLFgGw70/9/BgUcvfuXf71r38Rc6jstwjmzC+I7c89u7Wv5efn06VLF76a+j15eXkE9PSlslVlQkaNKbV+UUOov06fonIVa777fmaZ4y1EX8fr6XNp0pfj8fb1Izc3l6HBg/j3Tz8/c9lcWiwtLVmwaAkdOnTAplo1NGo1f+47WOJ2Ry/dZXj3ZtSrXonrdx8xwL0R5qbGVK9szsxBzvSe8SfB/2iiXb965QpYWZjSqXktFg51oUpFM9buv8SSnecVxV8SKpUOj9aUg2RosJ6ho6MjBw8e5MGDB+Tk5BAdHa0tqa8vHj16xMcff0xS0iWWLF2uSEtoNM+dAmZsbKxI15D8vHwZ/v7+NGjYUK+6n3z6GQsXLqRSpUpYW1szYvRYtm4tW9XvvLw8/ti5g+AhQzl69CjDPx9Brx4+5OTkKIpR38fr0aNHBP2zL0mXk1i05Cc+/fRThv1PCO85vl/yxiVw5vRpvp/+LWfPnuXytf/yZehk+vcNKLEXG5d4mxkRJ1k7rhP7pnmjEXAvI4fI0C5MWnOU1AfZxdY3NVZhYmxEg5pW+H63i14z9hDcpQk+beu9YA/64U25TDZYz9DFxYXevXszcOBArK2tcXFx4eTJkzpvX1JF3uTkZPz8/GjWrBn79+1V7IPR0P4dEo7E8/8tLEhL/S9Vq1alWpVKinSfxtQI7T5ejG4nTmT4RhYsWICFqfITzcQIzExUVDJTsWbNGpycnLR2mebGUMHMlEpmpd9P/Xp1aNasGe4ffgDAx316EjL8M1KuX6FZGQ2x4MnxgoLP89p/dTheJs//7S96Lv1n317S0tI4cOAAiYmJLFk0n3v37vHw4UM+7uXLjh07Sh3r/uhduH74IY0aNQJgzKgRfDlhHFnp96he/fn389LXPWuG3rphwbo2Vub8Fub5wvVH+zky2u/JwMm68R6ljrk0vCk9Q4Mlw8zMTDw9PfnkkwLv4eXLl1Ovnu6/UC8r1JCRkYF7p04MGDiIb//fFB7nKy+s4NbZk/Hjx3Pm3EXeb/Yui378N75+/nov2KCLi5ku973u37/PpUuX6NChg14KNeRrIDdf8ChXcPzkaSIiIli9Lpzc3FzmL1xE38D+zy3cUFKNgk5dujN+/Hhi4o/yYfu27I7ej0qlwq6uvSInv8LjdfHiReo10O14Pa9QQ0ZGBu7uneg/IIhJYV+jBqxr1ObmzZvaQg2/rF7Fls0RbNy87bnFG0oq1ODYohULFy0iNTWVyjY12RK5GfsGDahUpdoLPwPboDU0rlWZbf/blXZfbCUjO485we3RaAQTVj0xVpvUx4lJAU7aQg1rxrhz7U4mYWsTqGRuwh/fdOeHzaeIOpxssEINbwoGS4Y3btxg4sSJREREkJ2dTXh4ONOmTdOLtiEMgWrWrMnS5Svp3zeAvLxcGjRsxPKVJVcCeVUkJV3CrlYtTE1Nydezr8qksClMHDeSdq1bkJ+XR68+AQwO1s3i9WkMYQgFT45XQEAAObm5NCzj8Vq6ZDHJydfYtnUL24rcCtgb/SfmllUVxVhIJ4/OjBk3gU6dOmFqakZVGxs2hpd82+FSSjpzt54h+lsvjFQq4hJvM2Hlyx0mR/0Ux8xBzhz+oQfGRio2xV4h6nCyXtrxIlQqVYn328pDz9CgJbwWL17M9u3bUavVDB48mH79+um8rSzhpRuyhJcs4fWqS3hl5Ggo6ZRVqcDK/PV+rNmgM1BCQkIICQkx5C4kEskr5g2ZjSen40kkEj1QHrJdCchkKJFIFKHLYzPlIVe+3hfxEonktcdIpdt/adi2bRve3t54enqydm3Z58WXBtkzlEgkytBzty81NZW5c+cSGRmJmZkZgYGBtG/fnsaNG+t3R0/xWidDXT9jQ3TBDdWtf5WxlnbfhrgxbohYX2X7S6ur67rvVC/dw/66rF/bpmKpNHXFSKXSaTQZICUl5Zl57pUrVy42hTI2NpYPPvgAa2trALp168bOnTsZMWKEXuN+mtc2GZY0A6Ws675KTd11S/e1raCHGSjPo2IZZpyUhCFi1fVYmb9gBsqLqGSAR0F0bX9pH4F5lQ9T6/r5P378GH9/f23BikJGjBjByJEjtcu3b9+mRo0a2uWaNWty6tQpvcT6Ml7bZCiRSN4scnNziYyMfOb1pwtraJ6ady6E0Pm5UyXIZCiRSP4Wnr4cfhF2dnYcLVKs+c6dO9SsWdOQoQFyNFkikbxmdOjQgbi4OO7du0d2dja7du3Czc3N4PuVPUOJRPJaYWtry9ixYwkKCiqopxkQoK2gZEgMOjdZIpFIygvyMlkikUiQyVAikUgAmQwlEokEkMlQIpFIgHKcDA01kTszMxNfX19u3LihN81Fixbh4+ODj48Ps2bN0ovm/Pnz8fb2xsfHh5UrV+pFsygzZ84kNFQ/vtEDBw7Ex8cHf39//P39S+WF8zKio6Pp3bs3Xl5efPfdd4r1Nm3apI3R39+fNm3aMHXqVD1EClFRUdpzYOZM5e6AYDhf8rcWUQ65deuW8PDwEPfv3xePHj0Sfn5+4uLFi4p1T5w4IXx9fYWjo6O4fv26HiIVIiYmRvTt21fk5OSI3NxcERQUJHbt2qVIMz4+XgQGBoq8vDyRnZ0tPDw8RFJSkl7iFUKI2NhY0b59ezFx4kTFWhqNRri6uoq8vDw9RPaE5ORk4erqKlJSUkRubq7o16+f2Ldvn970L1y4ILp27SrS0tIUa2VlZQlnZ2eRlpYm8vLyREBAgIiJiVGkGRMTI3x9fUVGRobIz88Xw4YNE3/88YfiWN9mymXPsOhE7ooVK2oncitl48aNTJkyRa9Pu9eoUYPQ0FDMzMwwNTWlUaNG3Lx5U5Fmu3btWL16NSYmJqSlpaFWq6lYUT+T8B88eMDcuXMZPny4XvQuX74MQHBwMD169OCXX37Ri+7u3bvx9vbGzs4OU1NT5s6di5OTk160Ab755hvGjh2LjY2NYi21Wo1GoyE7O5v8/Hzy8/MxNzdXpFnUl9zY2FjrSy4pO+UyGT5vIndqaqpi3WnTptG2bVvFOkV59913admyJQBXr17l999/x93dXbGuqakpCxYswMfHBxcXF2xtbRVrAnz99deMHTu2VEbsLyM9PR0XFxcWL17MqlWrWL9+PTExMYp1r127hlqtZvjw4fj7+/Prr79SpUoVPURc8GP7+PFjvLy89KJnaWnJ6NGj8fLywt3dnTp16tC6dWtFmn+HL/nbRrlMhq9qIrcSLl68SHBwMF9++SX29vZ60Rw1ahRxcXGkpKSwceNGxXqbNm2iVq1auLi46CG6Alq1asWsWbOwsrLCxsaGgIAA9u/fr1hXrVYTFxfH9OnT2bBhA6dOnWLz5s16iBjWr1+vtbjVB+fPnyciIoK9e/dy4MABjIyMWLFihSLNor7kQ4YMoU2bNpiamuop4reTcpkM7ezsuHPnjnb575rIXVYSEhIYPHgw48ePp1evXor1kpKSOHfuHAAWFhZ4enqSmJioWHfHjh3ExMTg7+/PggULiI6OZvr06Yo0jx49SlxcnHZZCIGJifJZoNWrV8fFxQUbGxsqVKhAly5d9FLmKTc3lyNHjtC5c2fFWoUcPHgQFxcXqlWrhpmZGb179+bw4ZdbfpZEoS/5tm3bWLNmDWZmZqXyJZc8S7lMhq9qIndZSElJISQkhNmzZ+Pj46MXzRs3bhAWFkZubi65ubn8+eeftGnTRrHuypUr+e2334iKimLUqFF07tyZyZMnK9LMyMhg1qxZ5OTkkJmZyebNm+nataviWD08PDh48CDp6emo1WoOHDiAo6OjYt3ExETs7e31dg8WwMHBgdjYWLKyshBCEB0dTfPmzRVp3rhxg88//5z8/HwyMjIIDw/X22X920q5LNTwqiZyl4UVK1aQk5PDjBkztK8FBgaWykP6adzd3Tl16hQ9e/bE2NgYT09PvSVafePh4cHJkyfp2bMnGo2G/v3706pVK8W6Tk5ODBkyhP79+5OXl8eHH35Inz7KC5xev34dOzs7xTpFcXV15ezZs/Tu3RtTU1OaN2/O0KFDFWk6ODjg6elJjx49tL7k+vhBfJuRhRokEomEcnqZLJFIJPpGJkOJRCJBJkOJRCIBZDKUSCQSQCZDiUQiAWQyLBfcuHGDZs2aFauoxjdveQAABLJJREFU0qNHD8LDwxVrDxs2TGvf6O/vT3p6+gvXzcjIICgoqNT72LlzJwMHDnzm9fj4eHx9fUvcvmnTpty7d69U+wwNDVU8y0PydlEunzN8G6lQoQJRUVHa5dTUVHx9fXn//fdxcHDQyz6K6j+Phw8fcvr0ab3sSyJ53ZDJsJxia2tL/fr1uXr1KmfPniU8PJzs7GwsLS1Zs2YNmzZtYt26dWg0Gqytrfnqq69o1KgRqamphIaGcvv2bWrXrk1aWppWs2nTpsTFxWFjY8PSpUvZvHkzJiYm1K9fnxkzZjBp0iQeP36Mv78/kZGRXL16lWnTpvHgwQPUajUDBw4kICAAKKi3uG3bNqytralfv36J7bly5QpTp07l0aNH3LlzBwcHB+bNm6et7jJv3jxOnz6NRqNhzJgxeHh4ALywnRJJqXmlBcQkOnH9+nXRsmXLYq8dO3ZMODs7i5s3b4qIiAjh7OwsMjIyhBAF9Q779+8vsrKyhBBCHDhwQHTv3l0IIcTnn38u5s6dK4QQ4urVq6Jly5YiIiJCCCFEkyZNRFpamtizZ4/w9PQUDx48EEIIMX36dPHjjz8WiyMvL094e3uLM2fOCCGESE9PF15eXuL48eNi9+7dwtvbW2RkZIi8vDwxdOhQMWDAgGfadejQIeHj4yOEEGLGjBliy5YtQgghcnNzha+vr9i5c6c2rqVLlwohhEhMTBTt2rUTaWlpL23nxIkTxfLly5V98JK3CtkzLCcU9sigoGJL1apV+eGHH6hVqxZQ0KuztLQEYN++fVy7do3AwEDt9unp6Tx48IDY2FgmTpwIQP369Wnfvv0z+4qLi6N79+7akliTJk0CKFb9++rVqyQnJxebu/z48WPOnj1LUlISXbt21cbTp08f1qxZ89L2ffHFF8TExPDTTz9x9epVbt++TVZWlvb9wumLTZo0oVGjRhw/fpyEhIQXtlMiKS0yGZYTnr5n+DRFCwtoNBr8/f354osvtMu3b9+mSpUqqFQqRJEZmM+rIGNsbFysJFp6evozAytqtRorK6tiMd29excrKytmzZpVbB/GxsYltm/cuHGo1Wq8vLzo1KkTKSkpxTSMjJ6M9Wk0GkxMTF7aTomktMjR5DcQV1dXtm/fzu3btwFYt24dgwYNAqBjx45s2LABgJs3bxIfH//M9h06dGD37t1kZmYCsHDhQlatWoWJiQlqtRohBA0aNCiWoFNSUvD19eXMmTO4ubmxc+dO0tPT0Wg0JQ7MQEGZq5CQELy9vQE4efIkarVa+35hrcK//vqL5ORknJycXtpOiaS0yJ7hG4irqyufffYZwcHBqFQqLC0tWbRoESqViilTpjBp0iS8vLyws7N77ki0u7s7ly5d0l6aNm7cmG+//RYLCwtatGiBj48Pa9eu5ccff2TatGksX76c/Px8Ro8era2ckpiYSJ8+fahcuTIODg7cv3//pTGPHTuWkJAQKlasiKWlJc7OziQnJ2vfv379Oj179kSlUjFnzhysra1f2k6JpLTIqjUSiUSCvEyWSCQSQCZDiUQiAWQylEgkEkAmQ4lEIgFkMpRIJBJAJkOJRCIBZDKUSCQSQCZDiUQiAeD/AHafl+uZy6DKAAAAAElFTkSuQmCC\n"
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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OaUuD+X7VLgC6tanHl4O9KVeqOC7NPufug8eAdp6h9+CF7Dl8kVKOhQld8znvfTSXK9dj2fvbaMbN3cShk9o8csbmGR4LD6frhx04En6SEsUKMWLUGB7Fx7No6TLZbZEVF86fZ8QnQzl65DATJ09h5KgxFtkD09v1Vfqqa9dTJ09in78Q4z4z3q6m3Oo2pNHkXU969OpN/wGDDJY19j5K164HDhygdPlKTPjCeLvK8dXr3UbMnD2HZp6NX2nWmqqDA4xmmCrjUIALP3RW/NxKomrP8Pn5QkphqnCPtRWsCDzIpp3H9fucHQrR1qsmvh9nviHt7bSvUfccvgjArTsPiLv/iFKOhbGzteGdKi6M6t2cowHjWTOnv1Ffa9epw5nzlylUqBBJSUlERd2iaDF5uiyGyC2CUKCOr2q1q45Zs2bh4OBoNBDKQdeulXKB0JY5aDQaWVtOR9Vg+Px8IaUwVbgnLQPWhYRl2hcd+x9dxiwn4nrmR6vklMxJ7Pr6N+atfPYcOX0NZ4dC7D16ia8Wb6Vu5284cuoqdjJWGdna2rJlcxAuLi7s/+dvevX+SGZNsye3CEKBOr6Ctl2DgoKoWE65dgXti/jvvvuO2XPmKmIvNwltmYPGSiNry+moGgynT5+Oh4eH4nal54bUdVhbK7v+ccxHHzBxsDcdRiwjKTmVyKi7tB++lHNXogGYt3IXchVh2/q1Iy4ujolffoWvT0syMjIU9VUJXla7Kkm7du24eVvZdv1l+Y/4+flR3tVVAQ/Vaddy5csTtGUb1apXR6PRMGLUGK7+e4VIhZ/C5KB9JWisZ/jS3TKZHDu1xt6AZ67lyhB+9LBesexujFa4p1ih7NceJh5/+m5vxqj2L3x+c8+sbMsfWfeF2b5GRERw+/ZtmjRpAsCgAX0ZPnQwifH3KabQY51S6njmtKupKOXrs+2ax0Zuu8r7i9y0IYAFCxaQV6H3a7p2BW3dI2/JaVfD5z516hQnT56kZ8+egDbbtSRJvJXPTjG/5SLnMTg3PCbn2GBoaADF870WjB49mjPnL1PdrRKLlmiFewylaS9Sdxg/TunBuYho/QCKjsTji14YQNn+zxl6fPYLCUkp+nJvV3Dmr19G0rDrLCKj7jKw07vM++JDUjJPm8rEtZvR9O7RlcNhJ3BxKs6KlaupVq06+QsVUyxdv1LqeOa0q6ko5auuXU+eOEGBwsVZvcp4u8p5hLx//z4RERE0atRIMTkBXbtevnyZ0uXltasxX1PSNXzyySd41G+MW2VX5i9aQvUaNSlWotRLV8fTICMY5oLsrjk2GBpCLeEegPo1tepqFUo7sHvFKP3+ifM389fB84yatZ6N8wdhbWXFrTsPDAZCgCZN3uXzcRNo2dwLWxsbnJxLErAxSBFflUbNdlUaXbt6eXlhbW2Dc0ll2vXKlQicnJ2xtbUlTSG9El27duzYkeSUFFxzsNCWWch5V5TzY6H6U2sA3nvvPVauXKnY1JpnkSvcY2oKr7y1lE/hpYZ406sWhMpNNtUSr5L7CPiqfVWrZ1hzRBA34h4bLFO6eH5Ofd9O8XMryUvpGe7evftlnEYgELwCxDtDgUAgQARDgUAg0PKavDMUwVAgEFiE6BkKBAIBYKXRYGVleP2GlQiGAoHgtUc8JucuTFWxk1u+SPulsm0m/jFEVvm7GwfLtgkaMjLkTgExwaxMdbjc8PijQ2YzmVzeWoUmUEN1UK0rJR6TBQKBABEMBQKBQIucFF0iGAoEgtcdOSm6ckMKLxEMBQKBRYhEDQKBQIB4ZygQCATA0+SuxsrkdHKtOt6a1f+jXu13cHd3x+vdRoSHhRk/yAjmqtj9NOI9RrR/BwArKw3f9m/MiaVdOLOsG/1bvZ2p7M4Zfhxb/CH/fOdPZZfCmT6zs7Fi69Q2BqdqSJLEgH59+P6Jylx6ejpjR4+gVg03arhVYvmPP8iv8HOopQ6nxrUC5dTxJEliYL8+zM9Cua9r5w6M+lR+xqOsUKv+oI7qoMloZG45HFWD4aJFi/Dx8cHHx4fZs2crZvfSxYuMHzeWzdtCOHHiBOPGT6RLZ3+LbB4LD+f7eXPY83coZ86coULFSkyd/KXBYzTA9mltad/4aXr4/q3epmKpQtQZuo4mozYwzK8mHpWeasAsDzlH7aHr+Pr3MH4f11K/v36VEuyd40/Dt52yPd+F8+fxbtWcoE0b9PuWLVtGxOXLHD1+mr9Dj7B44XzCjh4xowWge89eHA47zuGw4xw9epQSJZyYO38hJUqUMMseqHOt4On1Cg0NJfyEvOuVFRfOn8fnuTbVMW/ObEIP/GORn2rVH7S+t27xPhs2vOj7y0QIQhkhNDSU/fv3ExgYSFBQEGfPnmXnzp2K2La3t2fJsuU4OzsDULuOBzG3b5OSkmLkyOwxR23N2gpW7DzPpgNX9PvaNijPqr8ukJ4h8eBxCuv/jqBrs0qULKpN8R7w92UA/gy/ToE8NrhXKA7Ax741+PK3Q4Rdyr538+MPi+nzUT/ad3iqMhcYGEjP3n2wsbGhSJEidOz8IWt//5/Z7aBDKXU4Na6V1o4y6nhZtSnA3r172blzB/1yaP1BHdVBc7CyspK15XRU89DBwYFx48ZhZ2eHra0tFSpUICoqShHbZcuVo7W3D6B9TPh8zCh8fNtiZ2dnkV1TVezSMmDdvsuZ9rk4FODmM4kub919TKliBXBxKPDEX174DKD3nL/YdfymwfPNnb+ID7tkVpm7ceM55bVSLty6dcugHWMoqQ6n1rUCZdTx5s5fROfn2jQ6KopPP/2UX1b8z2IxLDXrr5bqoMnI6RXmgp6hagMoOo1YgGvXrrF9+3bWrFkj+3hDIks6Hj9+TOc+fbhx4wYhISGKCA117tCOzh3a8dNPP9HWpyUREREGv9US/xii/3lG30YA7Jvz4mOQXyPXF8oDNHrb2WQfbazAzkZDPjsNGRkZ5LWzIp+d9maztQY7W2v97+aw6tef8PPz4+0qFcy28TxqXCvQquO1ayf3emXfJro2tdOk0a93N+bNm0eFsiWxs9Zga60hvwXtCerVX4dSQltmk/NjnVFUb77Lly8zaNAgPvvsM8qVKyf7OGNp/69fv07Hdr68/bYb23fuIU/evBallL/yRG2t8RO1tW69+jJ48GCiYw2r2BVpv5QfRzTjXOQ9vg88ybavfVm27QxbDl0FYHwXDwoXsGN+4EkiVvQir+/Ttcnnl3en87QQTl+7q9+345u21K9aknQDlU/LgJQ0iYQUiTJlynD1+i1q1NIeEHnjFiWcS5GQ8qIBuV/Oa9euY+HCBfJSycswqvS1gqfX632vJiSlybte6QYWG+va9J+DR7ny77+MGjWKDAliYm6Tnp7Oo4REFv+wPMtjrY1MKFaj/s8jR2hLg7xOhqm8LlNrVH2QDw8Pp0+fPowePZr27V+U5zSX+Ph4Wjb3wq+9P2vXriVv3rwW24y+HU2vHl2Ii4sDYO3vWrU1U+U8tx6+Sq8PqmJtpaFQfjs6eVZky6Gr3LqrfXTu9G5FAJrXKk1GhsSZyLuGzBnFz8+PlSt+JS0tjQcPHrAhYB2+bc3Xmrh//z5XrmjV4ZRAjWsFyl2v56nfoCEXr1znxIkTHDx6nH4DBtGhY+dsA6Ex1Kp/TuJ1GUBRrWcYHR3N0KFDmTdvHg0bNlTU9g9LFnE9MpItQYH8sTlQ/x4u+M9dZv8xKKVi92PwWVydCnFkYWfsbKz4OeQc+89E6z/v3/ptPv+wDkkpaXSf9SeWynENGTKEC5ciaODhTkpKCn37D+Rdz6Zm21NaHU6NawXqqeMpjVr1z0lYWWmwMtI7NvZ5TkA1dbxp06axceNGypQpo9/XpUsXunbtKut4pdXxTMEUm6am8Hr2MTk7TEnhlc9Ok+UjcVaY8uUsW3HNBKOv+loZekx+nvx2Gh7LbFdjj8k6XrWSoVqPyc1m7OPW/USDZUoVycueL8z/kn4ZqNYznDhxIhMnTlTLvEAgyCGosQJl8+bN/PjjjwB4enry+eefc/78eSZMmMDjx4/x8PBgypQp2NjYEBUVxdixY7l79y7ly5dnzpw55M+f3+R65PzJPwKBIEejmzljbJNLYmIi06dPZ9WqVWzevJmwsDBCQ0MZO3YskyZNYseOHUiSREBAAABTpkyhW7duhISEUL16dZYsWWJWPUQwFAgEFqHRaPTvDbPbTHmdkp6eTkZGBomJiaSlpZGWloaNjQ1JSUm4u7sD4O/vT0hICKmpqRw9epSWLVtm2m8OIlGDQCCwCFMGUKKjo0lPT8/0WcGCBSlYsKD+9wIFCvDpp5/SunVr8ubNS926dbG1tcXBwUFfxsHBgZiYGO7fv0+BAgWwsbHJtN8cRDAUCAQWIecxWPd59+7dX1ghNWzYMIYPH67//cKFC2zcuJE9e/bw1ltvMWbMGA4cOJCpdylJEhqNRv9v5nOZN3ItgqGF3A8cYryQieWLd1sh296jgD449vhNVtm43/vItgvybipTRmhBI7u83BFaUzDVptzy8idkyBPZ0tqUafKJXTmiYJpn/q8kpky6Xr16dZY9w2fZv38/DRs21E898vf35+effyY2NlZfJi4uDkdHR4oWLUp8fDzp6elYW1sTGxuLo6Mj5iDeGQoEAoswZdK1s7MzLi4umbbng2HVqlUJDQ0lISEBSZLYvXs39erVw97envDwcEA72uzp6YmtrS0eHh4EBwcDEBQUhKenp1n1ED1DgUBgEaY8JsuhSZMmnDt3Dn9/f2xtbalRowYDBw7kgw8+YOLEiTx69Ihq1arRq1cvACZPnsy4ceNYunQpzs7OzJ1rXoIREQwFAoFF6EaTjZUxhYEDBzJw4MBM+6pWrZpl7sZSpUqxatUqk+xnhQiGAoHAIl6XRA0iGAoEAotQ+jH5VSGCoUAgsIjXpWeYa0eT1RLZUUNgx1yhqcGtqnLs+/aEzm7Lr596UiS/NjvygBZV2D/Tl/C52lRddjaZL2Ph/HacXtiBdvXLmuzr9uBt1K1VkypVqtCtSycePnxosg0dWQkt/fjDEhrXr0Ptmm/Tr09PkpOTLbKv9LVS674a99loypQpoxfc6tmti1l2shIEGzFCGUEwc1F6Od6rQtVgOH/+fLy9vfHx8eHXX39VzK5aIjtqCOyYIzQF4FnNiZF+NWgzdQeNPtvCjmM3WTioEW3rlWFwKzd8v96Bx2htyqphPtUyHbtsaBMK5rM12dfY2FgG9f+INQEbuXjxIuXLu/Ll+HEm24GshZY2bdrED0sW8cf2nYSdOENiYiKLFswz277S10pN8aZDBw+ydu1aveDWqt/XmmwjK0Gwn39axqVLlxQRBDMXKyuMLsfLBRIo6j0mHzlyhEOHDrFlyxbS0tLw9vamadOmuLq6Gj/YCIZEdizRltAJ7JQrW8Z4YZnohItsbW31wkXlypU3epy7azH2nI4m6l4CAFuOXGfx4MbktbNhwdaz3H/8VFBozd9PBak+71CTc9fvUzCv6e3w184/qeNRl4pPJBsGDhpCvTrv8P3CxSY/5uiElkqXftqWK1eu5JMRoyhatCgA8xctJdVMYSQ1rpVa91VycjInTxxn9uzZRERcoWKlysyeM5fSZUzzPas23bI5iCGDB74gCOZRt57Z/pqOnLXHOb9rqFq8rlevHitXrsTGxoa7d++Snp5Ovnz5FLGtlsiOWgI7pgpNAYRdjqVpdSdKF9emIurpVRF7W2uquBTCoVAeAsd/wKFv2wLwX4I2oDSr4UwTNye+XnfCLD9v3nxOXMrFhYcPHxIfH2+yrayEli5dukRs7B3atWlN/Trv8M3XX1GocOFsLBhGjWul1n0VHRVF02bvMW3aNI4cO0m9+vXp1KGdCStXtGQlCHbr5g1Kl1ZWEMxUxGOyDGxtbVmwYAE+Pj40bNjQIv3drHj8+DGdO3fmypUIli4zLy37y6KtXzvi4uKY+OVX+Pq0JCMjw2D50At3mLH+JGvGvMffM9qQIUncjU8iLV3ivRol6TVvL++O2wrA5C61cSmWn5m969Fv4T9kmJmvV8rIyPIb3lKFOB2pqans3vUXK39fxz8Hj3L//n2mTJqgiG0lUfq+Kle+PEFbtlG9enU0Gg0jRo0YAeHsAAAgAElEQVTh6r9XiLx2zWLbGc9dM0mSFLtechFp/2XyySefMGDAAAYPHkxAQAAffvihrOOMZeS9fv06vr6+uLm5sW/vHsW1JZRSG4t4IlzUpEkTAAYN6MvwoYNJjM9euOhRQJ8X9tV+oq9c7K08VHQuSPRv3fWfDfV5m6E+bwPw709P2/fdatkL0meFa7kyhB89rK/33ZhbFClShGKFDCXKNHyT61Tn8ttpKFmyJB07+ONcvBAAfXr1YOrUqRYrzympDGfefWXY/1OnTnHy5El69uxJXlsNkqQNWm/lsyOvrel1f1YdsWzZMkRFRVG/vtZO3J1oypZxsUgd0VTE1BojXLlyhZSUFNzc3MibNy8tWrTg4sWLso83lPY/Pj6epl5e9OjZm6+nTCYpTfl06nLUxuRw7WY0vXt05XDYCVycirNipVa4KH+hYtnaL95tBZWcC7J1Uks8RgURn5jKvH4NyJAkLkf9h3/D8rSd9idJqek8CujDspDzjP7lcCYb2ye3YlnIeYIOR+r3GUvU4PleC0aPHs2Z85ep7laJRUt+oI2vn8F2MJZ4Qac69zhFomPHjqxZF0DXXv3IkycPGzYF4l7bI8v0+qYkVVDqWpl7Xxl73E1J1/DJJ5/QpEkTnFzKseyHJVSvUZNiJUplK61gyOSz6oitfdryyy+/8H7LNjx69Ig1a9Yyf9HSrNURgbwqBEk5IvG5QURetWB48+ZNFixYoNdK3rVrFx06dFDEdm4S2TFXaOpy9EPmBp1m73QfNFYaDl6IYfTPh0lJy6BIAXv2z/LVL4H6as0xRXx1dHRk2fJf6fZhR1JTUyjvWoHlv65UxDbAxx9/zO3YuzRp4EFGejrv1KrNgsXfKWbfUtS6r6pVr8538xbg6+tLWlo6pVxc+G3V74r4PGDQEG5E/quYIJg5vC49Q9UEoQAWLlzI9u3bsba2pkWLFplylhkjtwhCqWHX1BReBTrLK29KCi+5vr7pIksgP4WXXJEtrU155wb5omBq9Qy7/BLO7YeG54s6FbRnbd86ip9bSVR9Zzh8+HCTAqBAIMid5IaenzHEcjyBQGARr8tyPBEMBQKBRbwu7wyzDYbTpk0zeKDQRBYIBKB9v2vsHa8aMg5Kk20wLGzmygCBQPBmoYaI/Ksg22A4bNgw/c9JSUlERkZSqVIlkpOTFZ/gLBAIci8aDRjr+OXqYKjj5MmTDB06FBsbG9auXYufnx9Lly6ldu3aL8O/NxJTVezklnfsKX/O4MM1vWSVv7Oql2ybIP9xSY7amxZ5ynCA0dT05mLK4IDcsirOeFOc12UAxei08FmzZrFixQoKFy6Mk5MTs2fPZvr06S/DN4FAkAvQICNRw6t2UgZGg2FSUhIVK1bU/960adMXdE8FAsGbi7VGI2vL6Rh9TLaxseG///7Td3P//fdf1Z0SCAS5h9flMdloMBwyZAg9evQgNjaWUaNGceDAAaZOnfoyfBMIBLmA136eoY5mzZrh6urKgQMHyMjIYOjQoVSoUOFl+CYQCHIBGo0GqzehZwiQlpZGRkYGNjY22NiIRSsCgeApr0vP0OgAysaNG+nVqxenT58mLCyM7t27s2PHjpfhm0HUUDFTUhnueZRWcrPE10EtqxL+nR/7Z7Thl+Hv6lX3rv7Ymf0z2rB/RhsAOjfWarW4lniLoPHN2T+jDUe+bcuwJ4lkTUGp+melDjd2tLLqcGopJFarVo067qYpJGbl27P113Hzxg0qlnchLi5OAW9Nw7gYlEa1aU1KYjQYrlixgsDAQGbNmsWcOXMICAhg0aJFsk8wa9Ysxo0zT2EtO9RQMVNSGe55lFZys8TXd98uwQjfavhO30mTL7by5/FbzB/QkIrOBbn/KIUmX2ylyRdaOYGAA1cBWDq4MZsOXqPJF1tpPmk7fd+vjKcJWbSVqn9W6nDLli0j4vJlxdTh1FRIDA0NJfyEfIXErHx7vv6gFdpq8X5ToqOilHLZJKzQPiYb3HLB5BqjwdDW1hZHR0f97yVLlsTWVp4M5cGDBwkMDDTfu2wwpGJmLlkpw61ds1qRya86JbdOnTpZbAss89W9fDH2nnlGde/odVrXduHdt0uQnpFByOSWhM7yBdC/B1q59zLrnwTGh4mp/Hv7oV6oSg5K1V+nDte+w1M7gYGB9Ozd5wV1OHNR+lrBU4XEQoUK6RUSi5qRLDar+kdHRREUFMTmrSGK+WsqGplbTifbYHj27FnOnj1LlSpVmDp1KhcvXiQiIoLZs2fLWn3y4MED5s2bx+DBgxV1GNRRMVNSGe55lFZys8TXsIg4PKs564NZj6YVsLe1xqFgHvaeuY3/zF20nqL9wxrcqioAq/ddITFFO7e0+TslqVfZkb9Oyu+FKFX/rNThbtx4ri0sVIdTUyExKCiIiuXkKyQ+T1b1dy5Zkk2bNlGpcmWlXDUdOWJQueClYbajIc8nZd27d6/+Z41GYzRrzaRJkxg5ciTR0dFmOWZMEAqeqJj16cONGzcICQmxSBTImgxsrDV6G7p/89tbKyY2BMqIF5nr68M1T5fOnV2YWYJhYudagPZ9oo6Zveoys1fdLG1dXmpez0l+/bP/43lWECkjI4O8dlZ6ASRba7CztVZEEElJoSmAdu3a0a5dO3766Sfa+rQkIiLCgDaIvPrr0P2cz07zUsWgQLsu2dgrQVNeGe7evZtFixaRmJhI48aNmThxIqGhocyYMYPk5GRat27NyJEjATh//jwTJkzg8ePHeHh4MGXKFLMHebM9avfu3WYZBFi/fj3Ozs40bNiQTZs2mWXDWNr/69ev07GdL2+/7cb2nXvIkzevRenfnUuV4eChwySlaf8ArkRqleGs7fMrmlZeCfEic3117LmSAnlscCyUl39jtL1I5yJ5OTirLeNWHuX09Xucvf4A0AbOPaej8ftmJwDTe9TBr15Zun63h9OR9/U2TV2bLLf+htYbPyuIVKZMGa5ev0WNWtrykTduUcK5VJZp8E19ia+U0NSVJwqJ73s1ISkNuvXqy+DBg4mOzV4hUW79IXPa/4QUKVsJAPUEoYy3rVw9qBs3bjB58mTWr19PsWLF6N27N/v27WPy5MmsWrUKZ2dnBg0axL59+2jatCljx45l2rRpuLu7M378eAICAujWzbyevVEX7927x4oVK1i8eDGLFi1iwYIFjB492uAxwcHBHDhwAD8/PxYsWMDu3bv55ptvzHIwK+Lj42nZ3Au/9v6sXbtWkSw673/QgiOHDxFx+TIAy3/UKsPlRCzx1alIPrZ92YK38mrf+45tX5MNoVdxK12YCR3dsdJoyGOr1d3ddOgaAF93q0PjqiVoOmFbpkCYE/Dz82Plil9JS0vjwYMHbAhYh2/bdq/arUxE346mV48u+pHetb9rFRJzmniZuSipm7xz5068vb1xcnLC1taWefPmkTdvXsqWLUvp0qWxsbHB19eXkJAQbt26RVJSEu7u7gD4+/sTEmL+u1Oj/ckRI0aQJ08eIiIiaNSoEaGhodSpY1jY5ddff9X/vGnTJo4cOcL48ePNdvJ51FAxU1sZTkks8TUi+iHztpxh99etsdJoOHjxDmN+PYJGA3M+qs+h2b7YWmu/I3/bfZmSRfMxzMeNG3GP2Tz+A72dpSHnWb3viir1M4UhQ4Zw4VLEK1WHM4ZOIdHLywtraxucS8pTSMwtmPKYHB0d/UJug4IFC1KwYEEAIiMjsbW11faco6Px8vKiUqVKODg46Ms7OjoSExPDnTt3Mu13cHAgJibG7HoYDYZRUVH89ddffPXVV3Tp0oXhw4fz8ccfm31CJRj7+ReM/fwLQFl1tFatvWnV2ls1xbUVK1bkCF9//PMiP/75oob10GWh+p917xej7iVQpLv5o7PPolT9f1z+9MvWxsaGb7/73nKjz6HktQIYOHgInwwbonj9n+Vxcoblxs1BTs/vyefdu3d/YYBr2LBh+jGK9PR0wsLCWLVqFfny5WPIkCHkyZMnk31JktBotO+Ls9pvLkaDYfHixQEoV64cly5dom3btqSlyb+i/v7++PtbNgdQIBDkXORMndF9vnr16ix7hjqKFy9Ow4YNKVq0KADNmzcnJCQEa2trfZnY2FgcHR1xcnIiNjZWvz8uLi7TNEBTMfrOsFixYixfvpzq1auzceNGdu/eTVJSktknFAgErxfWGo1eByXb7UmPzdnZGRcXl0zbs8GwWbNm7N+/n4cPH5Kens4///xDq1atuHr1KpGRkaSnp7N161Y8PT0pVaoU9vb2hIeHA7B582Y8PT3NrofRnuHUqVPZtm0bHh4eVK9enQULFjBmzBizTygQCF4vlEzh9c4779C/f3+6detGamoqjRs3pmvXrri6ujJ8+HCSk5Np2rQprVq1AmDOnDlMnDiRR48eUa1aNXr1Mm12QyYfpRyaX9zY1BodarzfU+ud4av21dS0/wW7Kpv23xRf5abyf3ZaiTFMmVrzqq+VfNkD+W2g1tSa8cGXuJuQarBMsXy2fOP9CieGyyDbnmGtWrUMRvNjx46p4pBAIMhdvPYpvLZu3foy/RA8gym9AlMEkUydIC2nvNvYbbLtXZ3nI7v8udnesu3mgr8zkzF1gric8mo10+uSwivbYFiqVKmX6YdAIMilvDFp/wUCgcAQcgSfXgtBKIFAIDCEFTJWoLwUTyxDlo9JSUlcvHgRSZJITExU2yeBQJCL0GieLsnLbssFHUPjwfDEiRM0b96cQYMGERMTg5eXlxhJFggEerQDKMYSNbxqL41jNBjOnj2bFStWULhwYZycnJg9ezbTp09/Gb4JBIJcgLFeoZxEDjkBo8EwKSmJihUr6n9v2rTpC2sLXwVqCEKBOmJASgpNqS2IZK6vLWqUYPvYd9k2pgmrP65PmWL5Mn2+9KPMmY6qOL/FmZkt2TamiX5zdZAvJQBw5vRpvLy8aFC3No0b1OXYsXCTjs+OnCwI9bzN2u9Uo3p15Wyag9GleE+2nI7RYGhjY8N///2nHxr/999/ZRvv2bMnPj4++Pn54efnx8mTJ8339BnUEIQCdcSAlBSaUlsQyVxf7W2tmNfdncG/huMzZz+7zt5hsn81/eeD3nOlrmuRTMfULleELcei8JmzX7/9G/tYtq8JCQn4+rTks88+49DRY4wbP5G+vXrIr2w25GRBqKxs7vk7lDNnlLFpLhqeDKIY2HJ+KJQxmjxkyBB69OhBXFwco0aN4sCBA0ydOtWoYUmSuHbtGnv27FFca9mQIJQlOig6MaByZcso5WqW4k316rzD9wsXmzz3SicIVLr0U/8CAwPp3XfAC4JIHnXrvTRfrZ+8F3rrSY78/HbWJKdqnx7qVyiKZ1UHfg+9zvAWlfTH1ClfhDLF8vHH6Cakp0ss3XWFHadvm+Srq2sFvL29SUyVaOPblnLlyptc5+dR4x7QCUK9ldeWB4+0glCW+qqzaWtrqxeZUqL+5vDaT7rW0axZM1xdXTlw4AAZGRkMHTqUChUqGDWs60H27duXBw8e0LlzZ3r0sPybG7SCUGXLlQOUE4QCrRgQwN5df1rqoh5D4k3PZuuQw9z5Wv92/bVTvy8rQaQzp0+/VF8TUtKZuP40Gz5txIPHqVhbaei4IBTHgvZMbl+N3j8eoVvDzMElITmdLcei+D00kvIOBVg7rAFRDxI5feM/Wb5GXL5EiRJO9OvXj+MnTlK4cGGmzZhlVr2fRY17AJ4KQvXv3x87e3smTTbeoZBjc8vmID4epJxNc9DJgRork9MxGgwfPHhAoUKF8Pb2zrSvcOHCBo97+PAhDRs25MsvvyQ1NZVevXpRvnx5GjdubLnXT3j8+DE9+/ch8voNtmx7dVKJhpCeS0Cp49n8bJaQVYJLc22b62sV57cY3qISLWb+zfW7CfR5txw/9vPg/qMUvg46R+zD5BeOmbTxjP7nK3cese1ENO9Xc5QdDFNTU9kREsyePXuoWbsef2zZTPu2PlyMuIa9vb0sGy+bdu3a0apNO35Z/hO+Pi05e8GQIJQ82vq1o3OHdiz5QTmbpqJBRs/wpXhiGUaDYYMGDV74A3FwcODvv/82eFytWrWoVauW/veOHTuyb98+2cHQmDre9evX8fX1xc3NjX179yiig/IsSimjuZYrQ/jRw3pbd2O04k3FChkaLDB86zyrjlamTBnuxUbrFdHi7kRTtoyLWQpp5vh6dZ6P/ud9E5u98PnvFTPLMDxbPis+bSkvs0nZ0qVwc3Ojfv36AHTu0I6hgwcQfeMqbm5usmwYQ6l7IOKJIFSTJk3IYwODBvRl+NDBJMZnLwhlik1Qxqa5WFtpsDEyQJIbBlCMXuoLFy7of05JSWHr1q1cvXrVqOGwsDBSU1Np2LAhoO2xmPLu0FAKr/j4eJp6edGjZ2++njKZpDTl0y0ppYzm+V4LRo8ezZnzl6nuVolFS7TiTYZsG0u88Kw6mp+fHz8t/4X3W7bh0aNHrFmzlvmLlpqlDmeOr25jt9GwYjFmd61J+3kHiHuUQquaTnzepirNvtmrL/dpy0qMaFWZ8iO1iRoCRzRi24lolu+9Sqkiedk0ohHdFh/myp1HgPFEDV7NWzF69GjCw8N5u2Zt9v/zNxqNBieXciSmZqMOZ+KjmlL3wLWb0fTu0ZWTJ05QoHBxVq/SCkLlL1TMbPs6m4fDTuDiVJwVK43b1CBPgtdU3ph3hs9iZ2enT+NvTCEvPj6eBQsWsHbtWlJTUwkMDGTKlCkWOatDDUEotVBbaEpJQSRzfT0YcZcfd//LmmENSU3L4EFCKgN/MTzVacT/TjCtUw061HXB2krD1MBz+kAoBycnJ9ZtCOTjjz/m0aPH2NnbsyZgI3ny5JFt42WhhiCUzmbL5l7Y2tjg5PzqRKaU1k1+VRhN7vrgwQP9z5IkcebMGaZMmcJff/1l1Pj333/Pjh07yMjIoFu3bvTu3Vu2Y29yclc1EnuCOslNTU3hpesZGkNuCq+8tppse4LPY0rP8HW8r9TqGS4+EMl/RhwolMeGoY3LKn9yBZH9zlAXM4sVK8aECRNkGR8xYgQjRoywzEOBQJCjeV16hkaD4YYNG6hevfrL8EUgEORCrGSsMDE1We2rwOgY/NixY1+GHwKBIJeiS+FlcHvVTsrAaM+wSpUq/PHHH9SpU4d8+Z6uNzU2z1AgELwZvDGjybt27SIkJPOEZo1Gw/nz51VzSiAQ5B5e+xUounW+p81c2iUQCN4MNDIGUHJBLMw+GH744YcEBga+TF8ET1BDGU0tzn9reEWJueVL9Vsjq9zd37ri0n+trLK3fu4qq5ypyJce18gumxsElHS89hooOVRbXiAQ5DBe+3eGycnJnDt3LtugWK1atSz3CwSCN4vXfp7hjRs3GD58eJbBUKPRsGvXLlUdEwgEuQPtO0NjuskvyRkLyDYYVqxYkaCgV7PWUSAQ5B7emBReAoFAYAg5Gie5IYVXthPDPTw8XqYfAoEgl2JM/0S3mcqsWbMYN06rwXP+/Hn8/f1p2bIlEyZMIC1NmxgiKiqK7t2706pVK4YMGcLjx/J1dLKqR5ZMnDjRbKMvCzVUzNSwqZZdtVTc1FJcCwoKwqHIWyYdM6B5JQ7P9GHv1Fb8OKQRhfPbkcfWmgX96rN/emsAFvSrTx5bbTbut0sXJnhic/Z93Yo9U1vxfk1nk86npJKhjjOnT9OyeTNq1aqlqIofqHe/moRRzWTTVeQPHjyYaWrf2LFjmTRpEjt27ECSJAICAgCYMmUK3bp1IyQkhOrVq7NkyRKzq6HqksHdu3fj7+9P69atmTZtmqK21VAxU8OmWnbVVHFTQ3Et4vJlxowZY9KUrSZVHfnE523az9qN16QQ/joZxbyP6jKq7dvYWGt4d+J2APLYWTOizdsA/DCoIYuCz9P0yxCGLDvILx83xtZa3m2upJKhDp2K38jRYzl+/LhiKn6g3v1qKhqZm1wePHjAvHnzGDx4MAC3bt0iKSkJd3d3APz9/QkJCSE1NZWjR4/SsmXLTPvNRbV3hjdu3GDy5MmsX7+eYsWK0bt3b/bt20fTpuYlHn0eNVTM1LCpll01VdyUVlxLSEjgo949mDt3Lt26dZN93Dvli7Lv7G2i7icCsDXsBt/3rcdve69wI/aaPqnv6cj7VC1VCIBmk0JIf5IPsrxjAf5LSNH/bgwllQyftenqWoFWrbX5GZVS8QP17ldTMWU5XnR09Au66wULFswkODZp0iRGjhxJdHQ0AHfu3MHBwUH/uYODAzExMdy/f58CBQroM+jr9puLasFw586deHt74+TkBMC8efMUFepRQ8VMLWW03OSrGoprw4YMov+AQdSsWdOk48Kv3GXgB5VxKZaPm3cT6Obpir2tNedvPCDmvyR9ucEtKjPy16MA+sAX9m0byhTPz/jVx8iQ2RtVUslQh07Fb/DAfpw9fYqChZRR8QP17gFTkdPz033evXt3bt26lemzYcOGMXz4cADWr1+Ps7MzDRs2ZNOmTUDWome6HKvPf0lZsnJHtWAYGRmJra0tgwcPJjo6Gi8vL5MSvZqSkVcp4R61baplV2mbnTtoFdd++ukn2vq0JCLCfMW1JUuWYG9nw6ABfbl27Rogz9e7vz1dOndyrl+mz84taJ/pd6ci+VgzKusnjlk9PZjVU95goDUZ2Fhr9P7p/s1vb23EZwN/gBlpehW/+vXrs3nzZvzb+hAZGalo50Ct+1UOVlYao0tCdZ+vXr06y56hjuDgYGJjY/Hz8+O///4jISEBjUZDbGysvkxcXByOjo4ULVqU+Ph40tPTsba2JjY2FkdHR7ProVrzpaenExYWxqpVq8iXLx9DhgwhMDAQf39/WcfLTfsPygn3qG1TLbtK2bzyRHGt8RMVt269+mq/zGLNV1z75dcVJCYm8M477qSmppCYmMg777gT+EcwJUuWzPa4Uv3WUCCPDQ4F83D1iTaKc5G8/D2tNZWGbqJ9/TJ828uDIgXsKdZbu47Z1tqKNh4uBB25rn+EXtS/Pudu/seSkAtG1yY7lyrDwUOHSUrTBpYrkVp1QGv7/Abb19B70OIlnKlS1Y2atesB0MK7Lenp/Tl38QpVDaj4qSFepZogFMYHH3S1cXY2PKD166+/6n/etGkTR44cYcaMGbRp04bw8HDq1KnD5s2b8fT0xNbWFg8PD4KDg/H19SUoKAhPT0+z66HaAErx4sVp2LAhRYsWJU+ePDRv3pxTp06pdTqBAkTfjqZXjy7ExcUBsPZ3reKaJSJb+w8eIfzEGQ6HnyA4OJi8efNyOPyEwUCow6lwXrZ88T5vPenyjPKtxqZDkbR0L8mMHnXo+O3eTOVT0zMY36Em/vXL6o9v4laC0AvyRsTf/6AFRw4fIuLyZQCW/6hVB7SEFi1bE3ntqn4EWafiV668Mu8NcwLGRpL1I8oWMGfOHGbMmEGrVq1ISEigV69eAEyePJmAgAC8vb0JCwuzSGZEtZ5hs2bN+Pzzz3n48CH58+fnn3/+4f3331frdAIFyEmKawARt+OZv+0cf05ugZVGw6FLsXy+Kpx9X7dCA3zfV9vb2ju1FUcux/LZqnB6LfiH2b08GO7tRoYkMXndcU5cuyfrfGooGepU/EYMH0piwmNs7XKuip+5mPLO0BR0SpwAVatWzXLUvFSpUqxatcoM6y9iVB3PEjZs2MCKFStITU2lcePGTJw4Ufa7pzdZHe9V21TLrik2TUnhpXtMNoYpKbxM8VXun9CrVvJT6zE5+NwdElLTDZbJZ2uN99vmv897Gaj6yrVjx4507NhRzVMIBIJXzGufz1AgEAjkoNZj8stGBEOBQGAZclbb5YJoKIKhQCCwCG0iBiPzDF+OKxYhgqFAILCI1z7tv0AeGTLXvWrRmFheWZuvUjjKVEwZ+ZVbtkinn2TbTAwcILv83XX9ZduVP3fDtPvKFFEqpXntpUIFAoFADlZoZDwmi2AoEAhed8QAikAgEIh3hgKBQACA5sl/xsrkdEQwFAgEFiFWoAgEAgGvj1RobpgLmSVqCRepI7K0EPfqVXF3d6d3z27cuycvi0p2/g3o14fvn/iXnp7O2NEjqFXDjRpulVj+4w8W+7tlcxBvvWWacJMh1qz+H/Vqv4O7uzte7zYiPCxMEbvbg7dRs2ZNalYzTbxpiHc1Ti7qxKG5/vw2qhlFCthjZaVh/qDGHFvQkWMLnq6nr+pSmENz/fXb0e87kBg4AL8G5YyeR+1rpabQlCloZP6X01EtGK5fvx4/Pz/9VqdOHaZOtTyFPKgnXKSGwM6+vXuY+91stoX8xYkTJ2jZqjXDPx5ktn/erZoTtOmpf8uWLSPi8mWOHj/N36FHWLxwPmFHj5jtb8Tly3zxuWnCTYa4dPEi48eNZfO2EE6cOMG48RPp0llegl9D6MSbNm7cyKmz8sWbPKs7M7p9TbwnB9Ng1CZCwm+weEgTujWtSOVShfEYsZF6IzcC4N+oPBduPqDBqE36bdeJm6z7O4LNh64ZPI/a10pNoSlT0WjAysiWC56S1QuGnTp1YvPmzWzevJk5c+ZQrFgxhg0bpohtnXBRoUKF9MJFRS1IQKpDJ7DTqVMnBbzUcvxYOM3ea04pFxcA/Nr5E7ztD1JSUky29eMPi+nzUT/ad3jqX2BgID1798HGxoYiRYrQsfOHrP39f2b5qhNumvXtXLOOzwp7e3uWLFuuz3Bcu44HMbdvm1X/Z9GJN1V6Rrxp7ZrVRoN47QrF2X0qilt3tfq6mw9dw7tuWextrclvb4O9jRX2T2RHk1Iyp6Vq7OZE+4blGf7DfqP+qX2tshKaWvX7OrNsWYroGZrAV199xciRIylatKhiNnXCRS4uLuz/52969f7IYpvfL1hEl67y1dvkULdeffbt3c31yEgAVv32KykpKdy9e9dkW3PnL+LDLpn9u3HjORGjUi4vCO7IRSfcVKOGacJNhihbrhytvRmiJRkAACAASURBVH0A7WPj52NG4ePbFjs7O4vsGhJvMsTRS7F41ShJGYcCAPR6rzL2ttZsD7vO/UfJXPm5O1d/6Q5AcNj1TMd+07sek38PIz4x1ah/al+rZ4WmPDw8aNO6BWnpKiS2lIGxXqFuy+moHgxDQ0NJSkqidevWittu69eOuLg4Jn75Fb4+LcnIyFD8HJbSuMm7jJ8wiS6d/fHw8MDKyoqiRYtaHAx0ZKUcZm1tbbKdZUuXYGNjQ++P+iri1/M8fvyYzp07c+VKBEuXLbfYnvRcvXUYq/uB87eZvu4Yaz//gP3ftiNDkrgbn8QYf3fiHiZR9qP/UbH/7wB82raG/rgGVRwpXigv6/6OMNtnpa4VQGpqKjtCgunbfyBhYWEM/ngY7dv6kJycbLZ/5qJbjmdsy+moPpq8du1aPvrI9F6boYy8EU+Ei5o0aQLAoAF9GT50MInx5gsXPY98tTHDFzk+Pp4P3vdiyCDt+tVbt27x9ZRJuDgVM1sXwsYK7Gw05LPTUKZMGe7FRpPPTmsr7k40Zcu46H+Xy+pVK0hISKCBhzspKVrhpgYe7gQHGxZuksP169fx9fXFzc2NfXv3kDdvXovsAbiWK0P40cOA9jpF3tKKNxUrlD/bYxIDB7ywr05FrR7vEJ9qAHTzqqT/bOZHDZj5UYNM5RM2vWjDEGpcK4CypUvh5uZG08Za/zp3aMfQwQOIvnEVNwNCU2og8hnKICUlhaNHjzJz5kyTjzWU9v/azWh69+jK4bATuDgVZ8VKrXBR/kLFFEtVL1dxzliShCvXbuHTujnhJ87iVLwQU6ZOo1PnLmiftMwbpEjLgJQ0iYQUCT8/P35a/gvvt2zDo0ePWLNmLfMXLSUh5UXbhhI1/B369EV+5LVr1HGvzqGwE4Bl6f/j4+Np6uVFj569+XrKZJLSlJET8HyvBaNHj+by5cuULl+JRUu04k2GbBfp9BOVShZi+xRvan2ygfjEVL4f2BhJkngrrx2Pk1P5dNkBbKw1xG/oz1erw5i14TgAh+b6M+qnA4Sef1Gk3FCiBnOvlbHvSa/mrRg9ejQHDofRuL4HO3fvQ6PR4ORSLltpAQ2Qx1aFsPSaRENVg+HFixcpV64c+fLlU9RuThMuMkTlKlUYPeZzvJo0QJIyaNCoMXO/X6SY/SFDhnDhUoS+R9e3/0De9cxaQ/hV8MOSRVyPjGRLUCB/bA7UZ20J/nOXRb14nXhTx44dSU5JwVWmeNPlqP+Ys+kkf8/2w0qjIfR8DCN/OkA+exvmDWjEiYWd9EL0c4NO6o+r6FyQyCeSpeai5LXKaUJTuWGAxBiqCkIFBwezc+dO5s2bZ/KxuUUQypSUXPnsNFn2AizBFJumpPB61e2qhk1TU3jlba9sCi9TrpUpb1DkCk2p1TM8cf0hKWmGz29no8G9TEGDZV41qvYMvb298fb2VvMUAoHgFSMSNQgEAgHImkWYGx6jRTAUCAQWIXqGAoFAwGszmCyCoUAgUIDcEO2MIIKhQCCwCO0KE+NlcjoiGFqIqddYTnn1Jjspj1rqgPLbVb4y3P31pq0ekVveqY+8ZAsP/teDkn1Xyyp7e4VpGWjkrGZSMxzl/FBnHBEMBQKBZbwmLw1zbXJXgUCQM1A6hdeiRYvw8fHBx8eH2bNnA9qEL76+vrRo0SLTIo7z58/j7+9Py5YtmTBhAmlp5s/qF8FQIBBYhG5qjbFNDqGhoezfv5/AwECCgoI4e/YsW7duZfz48SxZsoTg4GDOnDnDvn37ABg7diyTJk1ix44dSJJEQECA2fUQwVAgEFiEKcEwOjqamzdvZtqelWtwcHBg3Lhx2NnZYWtrS4UKFbh27Rply5aldOnS2NjY4OvrS0hICLdu3SIpKQl3d3cA/P39CQkJMbse4p2hQCCwCFNWoHTv3v2FhLbDhg1j+PDhAPrM5QDXrl1j+/bt9OjRAwcHB/1+R0dHYmJiuHPnTqb9Dg4OxMS8mFVILiIYCgQCizBlBcrq1atJT88sp1Cw4IsJHC5fvsygQYP47LPPsLa25tq1a/rPJElCo9FkmSzX3ByhkIsfk9VQXFNDcW/1qpXU96hFfY9auLu741bZlYL57Mz+BlNbcU3Jdn3eVx03b9ygYnkX4uLiLPL1zOnTeHl50aBubcXV4YKCgnAoYppC4MAPqnD027b8M92b5UObUDi/HQXz2vLbJ+8SOqMNAJ+2eRuAKiUL8c90b/12YIYPD/7XA1+P0oZOkQm1VAdNRSNzA3B2dsbFxSXT9nwwDA8Pp0+fPowePZr27dvj5OREbGys/vPY2FgcHR1f2B8XF4ejo6P5FZFUJCgoSPL29pa8vb2lmTNnmnRsUqokJWaznTxzQXJycpL+vR4lSZIkBW7ZJrmULp1teTnbgUNhUpmyZaXbcQ8kSZKkT0eOlvr1H2j0uISUDNlbSkqKVK9+A2nB4qUGyz1OznoLP3FW8vRqJuXLl0+aPmO29Dg5Q1q8eLHUomVr6b/HKdLN23elypWrSPv2H8ryeGN1MaddTfFVkiTpx59XSGXLlpMAKfLWnWyPN9aWcQ8eSSWcnKRt27ZJCSkZ0roNgVLlylUMHiP3Xjh97pJUoUIFKX/+/LLKF+q+Smoz7U/p5t1HktvwjVKh7qukgUv2S0GHr0k/hJyXlmw/JxXqvkqSJEmKvBMvNZ+8XSrUfVWmbeG2s1LAgX/1v6txrZJSFfmzfoHLMY+lc1GPDG6XYx7LshUVFSXVr19fCg0N1e9LSkqSPD09pWvXrklpaWlSv379pODgYEmSJMnHx0cKCwuTJEmSJk6cKP30009m10O1x+TExESmT59OSEgIBQsWpGvXroSGhtKoUSOLbRtSXDNXW0SnuGdra6tX3CtXrrzFvj7LrFmzcHBwpP8A86RCdYprpUuX0e8LDAykd98BLyiuedStZ7J9Jds1K1+joqLYumUzm7eG4F6jqsn+PYtOHc7b25vEVIk2vm0VuV46hcC5c+fSrZt8cbB3yhdl35nbRN1LAOCPsOss6N+A0gPW6ZPFAtjZWvMwIbOgVMMqDvjVK0OjL7bJPp8afwPmopGxAkXu4+vPP/9McnJypuz4Xbp0YebMmQwfPpzk5GSaNm1Kq1atAJgzZw4TJ07k0aNHVKtWjV69epldD9WCYXp6OhkZGSQmJpIvXz7S0tKwt7dXxHbZcuUoW64coKzimk5x7+NB/bGzt2fSZGV0nkHbhf/uu+84cMj8R5m587UZsnf9tVO/LyvFtTOnT5tlX8l2zcrXkiVLsiZgo1m+PY9OHa5fv34cP3GSwoULM23GLIvt6hQCa9Y0TSEw/Eocg1pUpXSx/Ny4+5junv9v79zjoqr2/v8eboqh4h27eElTClG8IGHk7UkUBhlEKvQJNY63Ix09aqX2s2OPHTxG/UQN7bH06MlKU/GSl1A76kkuYZKCpnKUQiARlERAkMvMev4gJkFlZth7jqLr7cs/9szsz/6uvZjvrL3XXt9PN5rY29LKqQl5hWWs+eNzAMSfzeN8bm2z+8Xj+vHu1lSzXPdqsNZ3oCGo+cz1woULWbhw4R3f++qrr257zdXVVTWfc6slQycnJ2bNmoWfnx+Ojo54enrSr18/s/evzxCqhhs3bvDSpElkZ2cTFxdnpoFT/bw0NoiXxgbxySefEKgdyYULF7Cxqe/WqnndvHH9J+h0Op7p2U1xjLeaDBkMBhwdbIymQva21aOPhpgM1WDZea3/OLfGCtSKq5mDpuFxGqrYH7ePw4cP4+Xlxa5duwgO1HLx4sUG/+iuXr2aJg52TJsSbrxhb87fVOFnvy+dO7ViTK330mPG1toO8e5CiHeX2zQ8u7fj498SpiVY4zvQIBrBChNTWO3UnTt3jtjYWA4fPkzz5s15/fXXWbduHZMnm1ci3VTZ/6ysLEKCRvPMM0/z9cHDNHV0VFRSPuM3x73nfHxoagfjJ4Qzffp0cq/U77gnzFwXu3nzl3z44UqzyrObkrzVZKhTp078nPUL7n2rd7qY/QsdOj5msSFUDZaeV1NrjW+NtW7Z+9IKcdcy+Kauqtp26EhP16fx8vKirFLg6x+IXj+ZM+kZuN7FHc7Updrf12+grKyUPn08qKysdgjs08eDHbvrdwh0mfQZTk3taNeyKT/nVfukdGzlSMKSACavjudMdiGXC8so/OwVZqxJJNCzE6HLjgCwNGwA10rKeW9H7dG8OWuTLe0rDeYNMizlQSnuarXZ5Pj4eLy9vWnTpg0ODg4EBwdz7Ngx0zuaQXFxMSNfGIpuTDCbN29WxXoy93IuE14JNc5wbv6i2nFPDevRa9eukZFxQZX7pXXR6XR8umE9VVVVFBYWsm3Ll4wODGqQljXOq7XwHenHxcyfSUmpnkGOP/otGo2GLl0bft8wPukYKSdPk5xykn379uHo6EhyykmzrFJdWjVjz/8bQXNHewDm6nqxLSmTMV6dmRf8+yV3kFdnvj1z2bj9nGt7/vXj5bpyJrmf+krNFSj3EquNDF1dXXn//fcpLS3F0dGRQ4cO4e7ubnpHM7CG45o1HfcyMi7g0rEj9vb2VJkxMrQENR3XrOVkZw1q3OFmzJhBSckNHJrcW3e4C7lFLN/9I9+8MwobGw3fpefzxj++p4m9Dcte9TI+WpOa+Ssf7T9n3O/JDi3IunrD4uPdT331oFS6tqo73scff8z27duxt7fH3d2dRYsWmX0/p7G441ly+sx1MbOkR+61O5613AHN/fKYe06rNa3jDmhJCS/nV8z7rCUlvMyN1VqXyVkF5VSZ+Duws9HQqY06E6jWwqq3W6dOncrUqVOteQiJRHKPeVBGhnI5nkQiUcQDUs5QJkOJRKKQByQbymQokUgUodGY9jiRl8kSieSB5wEZGFp3NlkJjWU2+V7rWqKpt2Dm9xEHDTfMmPm1YILaKjO/lrTfWjPf5s7SWxJr2/EbzPsgULJlEk4vmf58p3ZOnFkVYrauueReL0dvqP8ztjbQseVDPJsskUgeBhrDuM80MhlKJBJFyEdrJBKJhAfnnqFMhhKJRBE2aBAmsl1jKKkvk6FEIlGGOcO+RjA0lMlQIpEophHkOpM0htHrXRFCMHHiRKLrGA41lK/37cWzb2969uzJ+NAXa/m5KkXtWNU0rxJCMPUPk1hxh9jGvTSWObNeUxApzH9zLj26dcbDwwOvAX0JGx+qSK+Gr/ftpXfv3vR2U9Zfoo5xVVlZGeHh4Qzo684Aj15MnxpOWVmZolg/WhWDm5sb/T0s66/po1z5YfkYEqMCWT9rMK0eqa5kPcW3J/FLR5OyrLpcm4Nd9VfZ7QlnLn/63yRGBRr/P9Xxdvc5NXlQSnhZNRl+/PHHjBw5ktGjR/PRRx+pqn3u7Fn8fP9LtZLfV65cYdrkV9m0JZb09HS6dn2St9+ar4q22rH+kJLC8ugPOPxtIqdPn6Zb96dYvOjtBsemHfUCO7ffHlv0B1EkJhxVGi7fJSXx6WebOHnyJMnHT7Dxi82KNWv6KzY2lrQfG95f586exb9O+6OWRlJVVcWxlFSSU1IpK7vJB1F/a3CsNf2VmJhIyknz+2uwmwuzde4ELN7PoDe/Yv8POXw4bRCBAzsxfdTTjH53PwPmVpeZe03rBoBXz/Zsjf+JQW9+Zfxf12ZAbTRm/rvfsVoyTExMZPfu3cTGxrJz505SU1M5cOCAavr/+9EqJoVP5sUXX1RF75uDB+g/wJPuv5lYT532RzZv+tyiEl13Q+1Ya8yrWrZsaTSvat3AGnY1xk1jxtaO7ciRIxw8uJ8/NNC8qoby8nJST55g2Qfv4+7uzriXQsjOylKkCb/311MK++tO7X/OZzALFy7ExsYGW1tb+vTxIEtBzA3tL48n23D4VK7RZOqrY1n49X+CicN7sHLPj1y7UWEs97bp2wygOhn2fMyZ+KWjObJES+DATneTVw05MjTBmTNn8PHxwcnJCVtbW55//nm++eYb1fSXr4whdJz57mWmyMmpY6z0+OMUFRVRXFysWFvtWOF386rHH3+c+KPfMmHiqw3SWbYihpdCa8eWe+kSs2bN4u8bPsPW1lZRnLmXLjFk2HAW/c+7pKWlMdDLixfHBin+kVGrv5atiOHlOu1/YYQvPXr0ACDr4kVWxawgOFjZyg17e3t27txJ9y7m99fx81cY0suFJ9o+AkDY0O40sbel5+MtadeyKTveGsF37wcCcL20AoDSm1VsTfiJwQv2MG1VPCumeNP3SesWe5XJ0ARubm7Ex8dTWFhIeXk5hw4dUmwabk2EwXDHJWBKk4E1CdQFcfXqVRa+/Q6jtSMxGEysiTKDyspKJk0YT3R0NC6/2VAqoUvXruz8ai9uvXqh0Wj485zX+fmnDC7+ZrjUUP4T/XXihxRG/Ndgpv8xAj9tgGK9oKAgci6b31+J5/L529ZUNr0+nG//FoBBCAqKb1KlFwx3f5QJ0Ud4fv4eABaFVputzV73HZ8cSMcgBOm/XCc2MRP//uYb0zeEB+Uy2Wqzyd7e3gQHBxMWFoazszPe3t6kpqaavb8lFXntbcxzMauPJ7t0IuX7ZKNOQd4vtGrVijYtH1EmXAc1Yr3wm3mVj48PANOmhPOniOmUFddvXlXfnF+Ni93ZtBQu/vwTc+bMAeDy5cvo9Xr0leWsXbvW4ljT0tJITU0lLCwMqF6fLISgeTMHHO0b/gWp6S+oPp8XfzGnv0y3v8atb/PmzcyYMYOYmBiL/JPvxK391dTOvP4q2TLpttf6dWsLQJvmTenesQW5//hv43sR2meI0D5z1xgWvOihqA31odGY8dD1/Z8LrZcMS0pK8PX15dVXqy8H1q5dyxNPmP8LZW6hBoBKg/ICCIOH+zJ37lxOnz1Pr6efImb1/xIwWqd6YQU1Ys3MyWXiK+NIPn6Sx13asuHTavOqR1q2qVe7vkINNS52vfs/y7mMLGOhhsh336Hg6lWWrYi5Y+EGUzUKKvQaZs6cyQCv53i6x5OsiFlNL/fetOnwWL1FG0wVaqjpr/Pnz/NEV/P6q75CDbe6+O3bs5uZM2fy1d799Os/wGTBBlOFGmr6K/XkSZyc2/L5RtP91Xb8Bp7q2II9fxnJgDk7KS6rJPoPz2IQgvOXrhPs3ZXAvx7gZqWeki2TWBN3lrl/T+ZwpJbtSZl8uOdHnmj7CIcjtWgX7yf9l+tWK9TwoGC1ZJiTk8O8efOIjY2lrKyMbdu2ERkZaa3DKaZ9+/asWbue8S+HUFlZQdcnu7F2/af3Oqw7Yk3zKrVx69WL/x+9kpAxgRgMeh597HH+sfELxbo1/RUSEkJ5RQVPqthfb81/AyEEM6ZPMb7m7T2I6JWrGqRX019Dhw7F1taOjo+a11/nc4tYtvMURyK1aGw0JJ3LY+66ZCqqDLRyakL8e6ONifidTT8A8IeV37JiijevDO2OrY2GeRuOkf7L9QbFbS4ajcbk/bbGMDK0agmvVatWsXfvXvR6PZMmTWLcuHFm7ytLeKmvKUt4yRJe1hgZFpcbTJqYaTTQvMn9/VizVVegREREEBERYc1DSCSSe8wDshpPLseTSCQq0BiynQlkMpRIJIow57GZxpAr7++LeIlEct9jozHvvyXs3r0bf39/fH19+fzzz60TeB3kyFAikShD5WFfXl4e0dHRbN++HQcHB0JDQ/Hy8qJ79+7qHqgO93UyNPccW2MIbq1h/b2M1dJjW+PGuDVivZftt1TX3M92audkgap5n3+0dTOLNM3FRqMxazYZIDc3F71eX+u9Fi1a0KLF75V1EhMTefbZZ3F2dgZg5MiRxMXF8dpryqonmeK+TYaWrECx5LP3UtNauuZrWpYOalZjqElTBatO7oa12u9ohfabG6ulj8Dcy4epzW3TzZs30el0XL9e+7nH1157jT/96U/G7fz8fNq1a2fcbt++PWlpaarEWh/3bTKUSCQPFhUVFWzfvv22128dFQIY6qw7F0KY/dypEmQylEgk/xHqXg7fDRcXF44fP27cvnLlCu3bt7dmaICcTZZIJPcZgwYNIikpiV9//ZWysjIOHDjA4MGDrX5cOTKUSCT3FR06dGD27NlMmDCByspKQkJC6N27t9WPa9W1yRKJRNJYkJfJEolEgkyGEolEAshkKJFIJIBMhhKJRAI04mRorYXcJSUlBAQEkJOTo5pmTEwMWq0WrVZLVFSUKporVqzA398frVbL+vXrVdG8lffee4/589XxjQ4LC0Or1aLT6dDpdBZ54dTHoUOHCA4Oxs/Pj7/+9a+K9bZu3WqMUafT0b9/fxYvXqxCpLBr1y7j38B7772niqY1fckfSkQj5PLly2LYsGHi2rVr4saNG2L06NHi/PnzinVPnjwpAgIChJubm8jOzlYhUiESEhLEyy+/LMrLy0VFRYWYMGGCOHDggCLN5ORkERoaKiorK0VZWZkYNmyYyMjIUCVeIYRITEwUXl5eYt68eYq1DAaD8PHxEZWVlSpE9jtZWVnCx8dH5ObmioqKCjFu3Dhx5MgR1fT//e9/ixEjRoiCggLFWqWlpcLT01MUFBSIyspKERISIhISEhRpJiQkiICAAFFcXCyqqqrEtGnTxP79+xXH+jDTKEeGty7kbtasmXEht1K2bNnCokWLVH3avV27dsyfPx8HBwfs7e3p1q0bly5dUqQ5cOBAPv30U+zs7CgoKECv19OsmTqL8AsLC4mOjmb69Omq6P30008AhIeHExgYyGeffaaK7sGDB/H398fFxQV7e3uio6Pp06ePKtoA77zzDrNnz6Z169aKtfR6PQaDgbKyMqqqqqiqqqJJkyaKNK3tS/4w0iiT4Z0Wcufl5SnWjYyMZMCAAYp1buWpp57Cw6PapjEzM5Ovv/6aIUOGKNa1t7dn5cqVaLVavL296dChg2JNgL/85S/Mnj3brGVT5lBUVIS3tzerVq1iw4YNbN68mYSEBMW6Fy9eRK/XM336dHQ6HV988QUtW7ZUIeLqH9ubN2/i5+enip6TkxOzZs3Cz8+PIUOG8Nhjj9GvXz9Fmo3Nl7wx0CiT4b1ayK2E8+fPEx4ezptvvkmXLl1U0Zw5cyZJSUnk5uayZcsWxXpbt26lY8eOeHt7qxBdNX379iUqKormzZvTunVrQkJC+Ne//qVYV6/Xk5SUxJIlS/jyyy9JS0tjx44dKkRc7ZlcY3GrBufOnSM2NpbDhw9z9OhRbGxsWLdunSLNW33JJ0+eTP/+/bG3t1cp4oeTRpkMXVxcuHLlinH7P7WQu6GkpKQwadIk5s6dy5gxYxTrZWRkcPbsWQAcHR3x9fUlPT1dse6+fftISEhAp9OxcuVKDh06xJIlSxRpHj9+nKSkJOO2EAI7O+WrQNu2bYu3tzetW7emadOmvPDCC6qUeaqoqOD7779n+PDhirVqiI+Px9vbmzZt2uDg4EBwcDDHjh1TpFnjS7579242btyIg4ODRb7kkttplMnwXi3kbgi5ublERETwwQcfoNVqVdHMyclh4cKFVFRUUFFRwT//+U/69++vWHf9+vXs2bOHXbt2MXPmTIYPH85bb72lSLO4uJioqCjKy8spKSlhx44djBgxQnGsw4YNIz4+nqKiIvR6PUePHsXNzU2xbnp6Ol26dFHtHiyAq6sriYmJlJaWIoTg0KFDuLu7K9LMyclhxowZVFVVUVxczLZt21S7rH9YaZSFGu7VQu6GsG7dOsrLy1m6dKnxtdDQUIs8pOsyZMgQ0tLSCAoKwtbWFl9fX9USrdoMGzaM1NRUgoKCMBgMjB8/nr59+yrW7dOnD5MnT2b8+PFUVlby3HPPMXbsWMW62dnZuLi4KNa5FR8fH86cOUNwcDD29va4u7szdepURZqurq74+voSGBho9CVX4wfxYUYWapBIJBIa6WWyRCKRqI1MhhKJRIJMhhKJRALIZCiRSCSATIYSiUQCyGTYKMjJyeHpp5+uVVElMDCQbdu2KdaeNm2a0b5Rp9NRVFR0188WFxczYcIEi48RFxdHWFjYba8nJycTEBBgcv+ePXvy66+/WnTM+fPnK17lIXm4aJTPGT6MNG3alF27dhm38/LyCAgIoFevXri6uqpyjFv178T169c5deqUKseSSO43ZDJspHTo0IHOnTuTmZnJmTNn2LZtG2VlZTg5ObFx40a2bt3Kpk2bMBgMODs78/bbb9OtWzfy8vKYP38++fn5PProoxQUFBg1e/bsSVJSEq1bt2bNmjXs2LEDOzs7OnfuzNKlS1mwYAE3b95Ep9Oxfft2MjMziYyMpLCwEL1eT1hYGCEhIUB1vcXdu3fj7OxM586dTbbn559/ZvHixdy4cYMrV67g6urK8uXLjdVdli9fzqlTpzAYDPz5z39m2LBhAHdtp0RiMfe0gJjELLKzs4WHh0et13744Qfh6ekpLl26JGJjY4Wnp6coLi4WQlTXOxw/frwoLS0VQghx9OhRMWrUKCGEEDNmzBDR0dFCCCEyMzOFh4eHiI2NFUII0aNHD1FQUCC++eYb4evrKwoLC4UQQixZskSsXr26VhyVlZXC399fnD59WgghRFFRkfDz8xMnTpwQBw8eFP7+/qK4uFhUVlaKqVOnildeeeW2dn333XdCq9UKIYRYunSp2LlzpxBCiIqKChEQECDi4uKMca1Zs0YIIUR6eroYOHCgKCgoqLed8+bNE2vXrlV24iUPFXJk2EioGZFBdcWWVq1a8f7779OxY0egelTn5OQEwJEjR7h48SKhoaHG/YuKiigsLCQxMZF58+YB0LlzZ7y8vG47VlJSEqNGjTKWxFqwYAFArerfmZmZZGVl1Vq7fPPmTc6cOUNGRgYjRowwxjN27Fg2btxYb/veeOMNEhIS+OSTT8jMzCQ/P5/S0lLj+zXLF3v06EG3bt04ceIEKSkpd22nRGIpMhk2EureM6zLrYUFDAYDOp2ON954w7idn59Py5Yt0Wg0g7ohLAAAAb9JREFUiFtWYN6pgoytrW2tkmhFRUW3Tazo9XqaN29eK6arV6/SvHlzoqKiah3D1tbWZPvmzJmDXq/Hz8+PoUOHkpubW0vDxub3uT6DwYCdnV297ZRILEXOJj+A+Pj4sHfvXvLz8wHYtGkTEydOBOD555/nyy+/BODSpUskJyfftv+gQYM4ePAgJSUlAHz44Yds2LABOzs79Ho9Qgi6du1aK0Hn5uYSEBDA6dOnGTx4MHFxcRQVFWEwGExOzEB1mauIiAj8/f0BSE1NRa/XG9+vqVX4448/kpWVRZ8+feptp0RiKXJk+ADi4+PDlClTCA8PR6PR4OTkRExMDBqNhkWLFrFgwQL8/PxwcXG540z0kCFDuHDhgvHStHv37rz77rs4OjrSu3dvtFotn3/+OatXryYyMpK1a9dSVVXFrFmzjJVT0tPTGTt2LC1atMDV1ZVr167VG/Ps2bOJiIigWbNmODk54enpSVZWlvH97OxsgoKC0Gg0LFu2DGdn53rbKZFYiqxaI5FIJMjLZIlEIgFkMpRIJBJAJkOJRCIBZDKUSCQSQCZDiUQiAWQylEgkEkAmQ4lEIgFkMpRIJBIA/g8XkUpo2S7I2wAAAABJRU5ErkJggg==\n"
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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G9FUXRDCUwKuTJw2FtsI9GQrYEpazGxUT+4xe49YSdevN3cC5a8JITcs5rb9yOTsSk9PY8N2nHNs0kYB50mbUL13uT6/e0vMpasJYglCgElnaFRyEo6NhRJbA8NdvTDGkLAEvZ+f8L+BlDF91QWYik7Tld4waDL/99lvc3NwMblf5yvyiLORy4ypwmZnK6djcmRkrd+Peex5/nryK2TsQ/TL29Xfy7kxcXBxTv/4Grw6eKBQSmr/vgMTERHr06MH161GsWr1Wb3urV63E1NQU30+l/chJxRj3y1i+6oLqlaCmluG79lIz+XY0Oa81lBXLlyXi1Am1EtijByrhHpuirw+CZJF85uUa4rljurz2/Z2D83Itn/3fABeDp+f4rI0imZmJ/gp5uly/FKJeiCw1adIEgKGDBzJqxDCS43UXWXoVQ1w/qMSQvLy8qFGjBof+PGgQDZCNAetJSkqioZsLaWkqAa+Gbi6Ehuon4JV1v0B17dF39b9fxvJVF6R0g9+HbnK+DYZ5JWrwaNmGsWPHcvFyJE41quC/UiXck9di9eL1RrJmRj8uRcWwNGB/ju+Sz/jj2GIij54mqj9buY6kn1cDurR2pesX3wPgXLU0wStG0Nx3EdH3HtG7Qz3WzvIlLfO10+VKukL/xfq6XL8Ubt6Jwbdfb06En8XRvgTrN6hElgoWtTFYggFDXH98fDzNmjen3ye+zJoxnZQMwyRA+OvoSfW/79+5iZOTE8fDzwL62c+6X5GRkZSpYJj7pYuvxkrUIENCMHwPsrvm22CYF+9KvOn8tbuMnruFLYsHY2Yq5+nzJNK1CISGwljXnyWy5Nm6OWamptg76C+yZAzylRiSBLLuV7du3UhNS6NiPhYb0wkZmjNZ5/9Y+HZSeLVs2ZINGzao5wxJQaTwenc2jWX3fbFpLLvv2ldjtQydRwdpFG8rU6Ig55d2NvzJDchbaRkeOHDgbZxGIBC8A8Q7Q4FAIEAEQ4FAIFDxgbwzFMFQIBDohWgZCgQCAWAik2GiIUWXiQiGAoHgg0d0k42LUqmUNLUGZJIWvD8+6afV+aWWL979B8k2kwMHSyoft2WQZJsgI1Mhrabk78H6UGMitZ5USK9X6dUq7VmF96NbmYXoJgsEAgEiGAoEAoEKKSm6RDAUCAQfOlJSdL0PKbxEMBQIBHohEjUIBAIB4p2hQCAQAC+Tu2oqk995b9XxLl64gGfrFri6utK4YT1On47Q2+akCWOpWqkcLi4uNHBz5ZM+vSQfO7x9Tc75d+f4Yh9+HtOC4oUs+HV8K44v9lFvANu+agNAdcdi7J/jxfHFPhxb1IXWLtIy+iiVSoZ8NoBlL1TmunXrhns9V/VWyrYYPXy8tbvwbPxX1fGMWa/GeFaz+23IetUJmcQtn2PUlqG/vz979uwBoFmzZkyYMMEgdpOSkvDq4Mmq1Wvp0qkDW3cEMbB/P85evKyX3ePHjrHhl0208GhMcrr0OWkeTg6M7eJMs0m7uPsokd7NKrNieBP6LHiZRLZu5RIcXtCFL9ccAWDZ0Mb8vP8qG/Zfo3YFG/bO6kjp/hvynNt25fJlxoweSfjJE9Ss6QTA9u3bSUxTHRMRfop+vbuzeJn0tGLZyVLHOxlxjpI2RRk9Zhwzp3+N/6rVOtnL7vfoz0dw6uQJptaspZcteKmOd/TkaSqUcSAoJJRePXyI/PeWzv4Zq16N9axm+W3IetUV0U3WwNGjRzl8+DCBgYHIZDIGDRrEvn37+Pjjj/W2/ce+36lYsRJt27UHoKNXJ8qXr6CXzdTUVM6dPcPihQv4fMQwKlWuyvyFiylTtqzGY+tUKsGB8/e4+0iV0y34+E1WjfDAzNSE9AwFZqYm/PB5cwDuvCgjNzGheEELAApZmZGSrjkh3ZrvVzDg088oU+Z1n9LS0hjy2QDmLVyCY5kyrx8sgSx1PDMzM7U6nr71Ci/V8cqX01yXUshLHU8XUShj1qsxntUsDF2vumJiYqJ5OZ6G7/MDRvPQ1taWSZMmYW5ujpmZGZUqVeLevXsGsR0VeY2SJe0ZNuQz3Nzc6NiuDRmZ+mXNjLl3j2YtWjJ9xizOnz9P/QYN6N61s6QVA6euxdK8VinK2hYCoH/LqliYybEprAp2A1pVI+ZxUo5jRq85wriuLkT90JvQb9rzxeojGlc8LF7mT49eb1aZ+3ndjzg4lKKT9+v6LtrwX1THM2a9GuNZzcLQ9aozUmRC/8stwyyNWICbN2+yZ88eNm3aJPl4S7M8Kk+Rwd6wUA4ePEiDBg0IDg7Gp1MHoqOjsbCw0MnfGlUrsndPqPrzVxPH892c2Ty4G02FCrn/kicHDlb/++qa3jm+u/FTvzzLZ2fzROktZlMTMDeVUdBcVUcFzWWs9FvKmjVr1Pv0oUfXzvTo2pkffviBTh08iYqKMtgvu6EEoeCFOt6AAdy+fZuwsDAJdvOuG6PUqxGe1TdhyHrVifwf6zRi9OqLjIxk6NChTJgwgfLly0s+LiU997XJJUo6UK16DZzr1AegTftOZGYO4tLV61SvUUMnPy+cP8+F8+fo0+8TrMxkJKcrUSqVZGCa5/tD6x5rKWRphl0xK/69/xyAUtYFOLm0K479A6hdwYZNE1rz0fAtJAcOxqrLD9SpVIJNE1pTbehmtZ29szrwfeglAo/d0Lg2OUMBaRlKEtOUFDSXcfTkadLTM3Bz91C/53oTmtYmX3+hjte4SRMsTaFP/4EMGzaMmFjDqeMZQhAKVOp43Tp78dFHNdiz7yCWVlYa7Wpqeetar3lVq67Pqrbv2KTUq9EEoT6Qd4ZG7chHREQwYMAAxo4dS5cu+nXfstPGsx3RN2+oR+UO//0XMpmM8nm04DRhYmLCuDFfcPPGDQDWrF6FUy1nSbotDtYF+H1WBwpbmQEwoZsr2/6+DkDTmg78eSHn64HrMc8pUtCchtXsAKhgX5jqZYpz9kacTr4f/usQzVq00PuBi7kfQ/9+vYiLU/mx+VeVOl5+E1mKj4/Hs3VzvLv4sHnzZoPIhL4JQ9SrMZ7V/IZmzWQJy/XyAUZrGcbExDBixAiWLFmCu7u7QW3b29uzZXsgo0eNIDkpETNzCzZt3YGlpaXONms6ObFoyXK6demEQpFJqdKO/Bzwq6RjI+89Y+HOc/w13xsTmYyjlx/w5Q+qUeNKpYoQ/TAhR/lnSWn0/G4fCz9rhIW5nIxMBSNX/s2N+/E6+R4VFUnZcuV1OjY7Qh0vJ4aoV2M8q/kNExMZJhp6HZq+zw8YTR1v9uzZ7Nixg7LZRmN79epF79698zjqJXl1k7OT1aU1JNrYtO6xVrLdrG6yJrRJ4VXQXJZnFy472qTwel/U4bSxqU0KL23qVWq1avNcadOSetfqeC3mHuLuk+Q8y5QubsXBr5pJthkcHMyaNWsA8PDwYOLEiVy+fJkpU6aQmJiIm5sbM2bMwNTUlHv37jF+/HgePXpEhQoVWLhwIQULFtT6OozWTZ46dSpnzpwhODhYvUkNhAKB4P0hawVK3pt0e8nJyXz77bcEBAQQHBxMeHg4R48eZfz48UybNo29e/eiVCrZunUrADNmzKBPnz6EhYXh5OTEypUrdbqO/D/5RyAQ5GuyZs5o2kD1+uzOnTs5tufPn+ewl5mZiUKhIDk5mYyMDDIyMjA1NSUlJQUXFxcAfHx8CAsLIz09nVOnTuHp6Zljvy6ItckCgUAvZDLN7wyzuv19+/bl7t27Ob4bOXIko0aNUn8uVKgQX3zxBe3atcPKyop69ephZmaGra2tuoytrS0PHjzgyZMnFCpUCFNT0xz7dUEEQ4FAoBfaDKBs3LiRzMzMHN8VKVIkx+crV66wY8cODh48SOHChRk3bhxHjhzJ8R5VqVQik8nU/82OriPXIhgKBAK9kLLAJOv7rCWUeXH48GHc3d3VMwN8fHz48ccfiY2NVZeJi4vDzs4Oa2tr4uPjyczMRC6XExsbi52dnU7XkW+DoTbR3RhzmKTa1E68SVp5x8+kTekBeBLQV3L5mHV9JduVinaTEd6tIJK2FqWWlz5KrY14l0STL+xKvw/G+Vsx5KTr6tWrs2DBApKSkrCysuLAgQPUr1+fvXv3EhERQd26dQkODsbDwwMzMzPc3NwIDQ3Fy8uLoKAgPDw8dLqOfBsMBQLB+4Ghg2GTJk24dOkSPj4+mJmZUatWLYYMGcLHH3/M1KlTSUhIoGbNmvTv3x+A6dOnM2nSJFatWoWDgwOLFy/W6TpEMBQIBHqhTTdZKkOGDGHIkCE59lWvXp3t27e/VrZ06dIEBARod4I3IIKhQCDQC21Gk/MzIhgKBAK9+FASNYhgKBAI9MIY3eR3gQiGAoFALz6UluF7vRzP0GI4e0J/o56rM9WqVaNPr+6vLRPS1rfsAkMAJUqUyCEytGXTxjxtDP64Kifne/HX7Has/V9jihU0x9JMjt+ghhyd24Gjc1XZni3N5AB85FiM2z/04K/Z7dRbZfvCWvltyDoA2BiwgQZurjRwc8XFxYUaVStSpIC5zqsEsmPI+69UKhn82QCWvrCVmZnJ+LGjca1Vg1o1qrB2zfc62Rzy2QCWLVmktjl61P9wc3HCzcWJyZPGazk1KSf6CJgZEm2W4+VnjBoMly1bRvv27enQoQPr1q0zqO0rly/Trk2rN44u6UJsbCxDB33Kpq07uHr1KhUqVOTryZN09q1D29YE7Xzp27WrV7G2tubYqTPqrWfv3Of9NalRki861qTz3D/wmLqHfefusXRgA8Z6O2Eql9F48m80mazKzP2lV00A6lcpwfZjN/GYuke9RWmRFsyQdZBF30/6cyL8DCfCz3Dq1ClKlrRn8TI/SpYsqZddQ97/K5cv0/6V+7V69WqiIiM5deYCfx09yQq/ZYSfOind5pXLdGz7McGBO9T7AgICiLx2jRMR5zh26gxH/v4rxzm1JUvA7OzZs5wIP0PAr5s1H2QETExerkLJfXsnrmmF0Vw8efIkx48fZ9euXezYsYOAgAD+/fdfg9nPEsPp3r27Qez9se936rrVo/ILuYIhQ4ezedNGnX65swSGunR96duJ40eRy+V83NKDBnVrM/fbma8tS8qOSwVrDv0Tw70XqZFCwm/R1rU0R688YGHwRZRKULzwrUwJVbqi+lVsqVaqKH/Oascf33jS0U07ASND1sGbmDdvHra2dgwaPFRvW4a8/2+6X4GBgXziOwBTU1OKFy9Otx492fzrL5Jt/vD9Snw/HUhnn27qfZmZmSQlJZKamkpqaippaWlY6JjXMLuAWa1atejdoxu3b+mmDqg/UhK75v+modGCYf369dmwYQOmpqY8evSIzMxMChQoYDD7hhbDuXPnNo6OL4NHaUdHnj9/Tny89glX3yQwlJGRQevWrQkK2cPe/YfYv+93vl/hl6uNiKg4PGrYU8ZGFej6Nq2EhZmcS7efcv1Fay/ru+CTqj+CpNQMdhy7SctpYfxvzTEWf1oflwrWkv02ZB28SlxcHIsWLWL+Qt0mxL6KIe//4mX+9Hzlft2+/UpdlHZ8LcFAXixa6vfaMzBgwACKFStGtYplqFK+NBUrVaJ9By+dfNZHwMzQiG6yBMzMzFi+fDkdOnTA3d1d766RMVEqFG98ySuXyw1i/9PPBuPn50fBggUpVqwYI7/4kl27cs8ifexaLPOCLhAw2oMDM9qiUCp5HJ9KWqYCgNrlrQmdqhKR2ntW9Uc67udT/Lg/EoVSybV7zwk8Hk1b19KSfTRmHfy0dg3e3t5UqFhRb1tvA8UrdaFUKvWuhxkzZlCihC3Xb8Vw5fotnjx+wvKluv04lK9QgaBdv1HTyQmZTMboMeO48e91om/e1MtHXRBp/yXy+eefM3jwYIYNG8bWrVvp2bOnpOO0ychrCGWwiuXLEnHqhNrOowd3KV68ODZFNWXMzf0mZ1dbCwgIoHbt2jg7OwNgIQdLc7M3qq49CXj9XaJrRdWi9X9Xvd4tfFP57Ezs4pzn91noVgfSHvKd27eyfPlyrPJSPdQR6fdfmjpeAXMZZcuW5XFsDAVe3J+4hzGUK+uo/izVrplchoWpjEIWJuzcuRM/Pz+sC1tCYUsGfurL9u3bmTxxnBTnc3D+/HnOnTvHJ598Aqh5p3caAAAgAElEQVSyaCuVSgoXMDdKHeeFmFqjgevXr5OWlkaNGjWwsrKiTZs2XL16VfLxqRlISvsPhlFc82jZhrFjx3LxciRONargv/J7Onp566W4ll1t7cy5C+zYsYMNm7aTlpbGMj9V1+xNqeUdP/uVyvaFCfqqNe4TQ4hPyWChbz0USiUHLsSwfFBDeiw8yNkbj3kS0Jfin6hGpfd940nQiWhW7LlCGZuC/P6NJ95z/+DaPdWIsKZEDbrUgZRu2ZMnT4iKiqJRo0ZGSXsv9f4rJKrjJaUp8fb25oe1P9HKsyMJCQls2rSZZf6rSHrD/VLkUQfpmUpSM5QkpCqoU6cOGzdtoV6jZqSnp7MzKJg6bg1ISFW8dpwmiYa0TBmff/45bg0aU6NqRZb5r8SpljM2JUvnWscyNEjw6siHIiJvtGB4584dli9frtZK3r9/P127djXW6fTGzs6O1WvX0adnN9LT06hQsRJr120wmP2vpk5n4phR1K/jTEZ6Ol26dmPAwNwz2ETdj2dZyD/s+6YtJiYyjl97yISfw/nr2/bIgOWfNVCXXeBbj/E/n2LIyiMs/rQ+fZpWwsRExuRfItSBUArGqoPr16Owd3DAzMyMDAPr1RiL4cOHc+VaFA3dXEhLS2PgoCE09ZCu4fEmlixZwrDhI6jj/BFyuZzmLVoyeux4nWzpI2BmaD6UlqHRBKEA/Pz82LNnD3K5nDZt2uTIZqsJqS3DD1FkSNsUXlktQ01ok8JLah1o8/gYQxBJm3ulqWWYnQLmsje2At9oV2IdFLIweWMr8E1oI94ltV6N1TLs9VME95+n5lnGvogFmwfWNfi5DYlR3xmOGjVKqwAoEAjeT96Hlp8mxHI8gUCgFx/KcjwRDAUCgV58KO8Mcw2Gs2fPzvPAqVOnGtwZgUDw/iE3kWl8x6nNO9B3Ra7BsFixYm/TD4FA8J6SJSKvqUx+J9dgOHLkSPW/U1JSiI6OpkqVKqSmpmJlZfVWnBMIBPkfmQw0Nfze62CYxblz5xgxYgSmpqZs3rwZb29vVq1aRZ06dd6Gf/kebVv/Usprq2IntXyZIVsk24z9qaek8rfXSFtRlMW7fJGuKTW9ruVlWkxOk9pdzMjUwqiZTFJ5VdXnf3W8d4XGaeHz5s1j/fr1FCtWDHt7e+bPn8+33377NnwTCATvATIkJGp4105KQGMwTElJoXLlyurPzZo1yzP1lEAg+G8hl8kkbfkdjd1kU1NTnj17pm7mGjInoUAgeP/5ULrJGoPh8OHD6devH7GxsYwZM4YjR44wc+bMt+GbQCB4D/jg5xlm0aJFCypWrMiRI0dQKBSMGDGCSpUqvQ3fBALBe4BMJsPkv9AyBFWWZoVCgampKaamYtGKQCB4yYfSMtQ4gLJjxw769+/PhQsXCA8Pp2/fvuzdu/dt+JYnhlZxy8LQinvGUofT5/oHtarCsTntOPhNG1YPbUixguaYyGTM7u3K0W/bcXJu+xzlG1e3Y9+0jzk4w5M9U1rjqoWUQBaGrtcsgoKCsC2unQLgu7A7acJYypYtq34WdFWy27zpFxrVd6Vxgzq0bt6E0xHhpKam8sXIYbg4VaNJw7rMnjkdhUJadhxDoFkMSqb1tKZ3gcZguH79egIDA5k3bx4LFy5k69at+Pv7Sz7BvHnzmDRJP4W1VzGGihsYXnEPjKMOp8/1N65ux6h21fFZ8CctvvmdP87HsNjXDd/mlahUshBNvw7j41n7AHCtYI2Z3IQfhrkzZv0pWkzfy+Ld/7BycAMNZ8mJMeoVICoyknHjxhlc98MYdo8fO8bmzZvVz4IuSnaR167y9eSJ7AwO5ciJ04yfNJl+vboxZ84cbt2K5nj4Of4+Fs6D+zH8sHqVwXzXhAmqbnKe23swuUZjMDQzM8POzk79uVSpUpiZmUkyfuzYMQIDA3X3LheMpeJmaMW9VzGUOpw+11+7XHH+uvSAmBeqe79F3KFN7VJ0cnNk0+EbZCqUPEtKB6C7eznSMxU4j93FhVtPAShvW4jHCWla+WuMek1KSuJT334sXmwYgSlj2s1Ssps/fz71XJ11VrIzt7DAb+Ua7B0cAKhTx40HD+5z6tQpunXviaWlJTKZjA5e3jkkSo2NTOKW38k1GP7zzz/8888/VKtWjZkzZ3L16lWioqKYP3++pNUnT58+VWX2HTbMoA6D8VTcDK24lx1DqsPpc/2n/31Ekxp2ONqolAp7N6mAhZkc++JW3H2cnKOsQ3FVmYxMJbZFLDi/yIvp3Wvjv+eKVv4ao15HDh/KoMFD1Zoy+dlulpLd7NmzOXn6nM5KduXKladtuw6A6rXDVxPH0r6DF+7u7uzYvpWEhATS0tLYtmUT9+/HGMx/jUgRg9LipeGBAwfw8fGhXbt26oQxR48excvLizZt2rBkyRJ12cuXL+Pj44OnpydTpkwhI0P3TM+5joa8mpT1zz//VP9bJpNpzFozbdo0vvzyS2JidLspeQlCyVFgKpepRYCy/lvQQq63MFQWhhIZyiJg3Q94e3vzUTX9R+J1vf7Yn14unTuzIKdEZWX7IoRNbZ1jX8e6jjmOyWLDqCa6OY5hxLtWrlyJhbkpQwcP5OYLNThD3Hfd7eb9DNSoWpG9e0LVn7+aOJ7v5szmwd1oKlSo8OaD8shInZiYyIABA7h9+zZhYWEUKFCAZ88m06ZFY4oXL07Pnj25/M8FClu+Hd0REwlrk6W+Mrx9+zbTp09n27Zt2NjY4Ovry6FDh5g+fToBAQE4ODgwdOhQDh06RLNmzRg/fjyzZ8/GxcWFyZMns3XrVvr00e2HN9dbfeDAAZ0MAmzbtg0HBwfc3d3ZuXOnTjbySvvvULosx46fICVD9bBej1apuMktChpMAkCqyJDUX/fNm7fg57dcWnp2Db+iul5/mSFbKGhpil0RS248TADAvpgVh2Z6cvHWU348EEnoaZXsaOxPPfn+96vMD/6HpjXs1PsBgia0YO3+SHZH3NF6bbIhxLt+Wree5OQkatd2IT09jeTkZGrXdiEwJJRSpUq9dbuanoEL589z4fw5Pvu0P8npSpRK1ZaBaa7PQ25rjW/fukXPbt5UrVadXXv2I7e04vHjhwwd8SXTZ88HYOvmXylfoRLxKTkHUWQylfSAoTEx0byOW6oe1L59+2jfvj329vaASjcmOjqacuXKUaaMqjfk5eVFWFgYlStXJiUlBRcXFwB8fHxYvny54YNhFo8fP2bXrl0kJiaiVCpRKBRER0ezaNGiXI8JDQ0lNjYWb29vnj17RlJSEnPmzGHy5Mk6OfkqrT5uw6QJY4mKVKm4rV2jUnHLrzx58oTr11XqcIaI1fpcv30xK3aOa07jqXtISMngy44fEXjiFlH34+nTpAJ7z96j4Itm+Z7Td1EolCz7tD5xz//mZFQc1UoVoYpDYSL+fWSAK9GNw8dOqv99/85NnJycOBFxNt/aNTExYdyYL2jZvCn2juVZs3oVTrWccXR01MpOfHw8HTxb0rtff76aMk29f9euXQTtCmHztiASExNZ4beML3UUmtIFbVagxMTEvLact0iRIhQpUgSA6OhozMzMGDZsGDExMTRv3pwqVapga2urLm9nZ8eDBw94+PBhjv22trZ6zdLQGAxHjx6NpaWlWurx6NGj1K2bt7DLunXr1P/euXMnJ0+eNFggBOMr2RkaQ6vD6XP91+/Hszz0MnunfoyJCZyIjGPSL6dJz1RQ3q4Qf87wxNxU9TN+9FosAL5+h5nd2xUzuYzUDAVDVx9XD8AINJOlZOfl5UVGRialHXVTslvz/Qpu3Ypm964gdu8KUu/f9/teDh89ToO6zmRmZjLg00F09ulmyEvIE226yX379uXu3bs5vhs5cqT6tVxmZibh4eEEBARQoEABhg8frh4YykKpVCKTyVAoFG/crysa1fFat27NH3/8wTfffEOvXr0oXrw4//vf/9ixQ9poVVYw/O6777Ry7H1RxzOGOpw2N1QbX7VN4WU70LApvN71vTKWXanPgDbqgNqk8CpsafJal/hNGKubPC7kCo8S0/MsY1PQjIVe1TW2DJcuXUpCQoJ6TGLjxo2EhYUhl8tZv349oJoDeuLECUaOHMmAAQPYt081FSw8PJzly5ezYYNuDSONNVOiRAkAypcvz7Vr1yhZsqRWIzY+Pj5aB0KBQPD+oM3UGgcHBxwdHXNsWYEQVMt/Dx8+zPPnz8nMzOTvv/+mbdu23Lhxg+joaDIzM9m9ezceHh6ULl0aCwsLIiIiAAgODsbDw0Pn69DYTbaxsWHt2rW4uLjg5+dHoUKFSElJ0fmEAoHgw0Iuk6CBIrG3U7t2bQYNGkSfPn1IT0+ncePG9O7dm4oVKzJq1ChSU1Np1qwZbdu2BWDhwoVMnTqVhIQEatasSf/+/XW+Do3BcObMmfz222+4ubnh5OTE8uXLGTdunM4nFAgEHxaGTuHVrVs3unXL+c7T3d2dXbt2vVa2evXqBlvZJKllmBVtx48fz/jxb2+USiAQ5H8+lEQNuQZDV1fXPKP56dOnjeKQQCB4v/jgU3jt3r37bfrxGkqlUtJoMsgkjeYZ62Zoa1dK+fQM6RlHLE1NJJfXdoK0lPK1vtoj2V7kgnaSy5+f01aiVWn3H4z3DGizqk5qWVO5dr5KKW+scPTBtwxLly79Nv0QCATvKf+ZtP8CgUCQF1IEnz4IQSiBQCDICxMkrEB5K57ohyQfU1JSuHr1KkqlkuRksQxLIBC8RCZ7uSQvt+09aBhqDoZnz56ldevWDB06lAcPHtC8eXMxkiwQCNSoBlA05TR8115qRmMwnD9/PuvXr6dYsWLY29szf/58vv3227fhm0AgeA/Q1CqUksghP6AxGKakpFC5cmX152bNmr220PptYyyRpVUr/KlTuyZOTk509/Hm4cOHBvHXUOJVbxIDApgzewZuLjVpUNeZoYMG6LVcUldfP3YqSciYxuz6sjEbhtanrE0BLExNmNu9Fr+NbULoWFVCWAvTnI9ck6ol2PVlY518DQ4KxNnZmQZurrRr04p/r1/XyU52jPUMrFrhR7Vq1WhYzxXfT/rw+PFjvW1evHABz9YtcHV1pXHDepw+HWEAT7VHbiKTtOV3NAZDU1NTnj17ph4a//fffyUb/+STT+jQoQPe3t54e3tz7tw53T3NhjFElk5HRLB0yUIO/nWUixcvUqlyFWZO/1pvXw0lXpWbGNCff/7Jjm1b+PtYOMfDzxH//DmrV0oX7DKErxamJizs7cyIn8/QackRDlx6yNfeNfhfq0rI5TI6Lj5Mx8WHARjWspL6mC89q7C0r4tOfyjJycl8NuATdu7cyYnwM7Tv0JGxY77Q2k52jPUMHPrzIIsXzWf//v0cP3UGz7btGPU//XRwkpKS8OrgyZdjx3PmzBkmTZ7KwP799PZVF2S8GETJY8v/oVDCaPLw4cPp168fcXFxjBkzhiNHjjBz5kyNhpVKJTdv3uTgwYNG1Vo2lMhSnbp1uXg5EjMzM1JSUrh37y7ly+eSkl0L3iTeVL9ubZb6rdBq7lVuYkCpqamkpqSQnJyMXC4nJTUFC0vLt+qr3ESGDBmFX+TIL2ghJzVDwakbT7gTcRel8mU6tlLFVb41rVYCK3M5E7acZ2y7qlr7mpmZiVKp5NmzZ5QGEhISsLTQ7bqzMNYzcOZ0BC1atsbR0ZGkNCXenX0YMWwwaWlpmJub62Tzj32/U7FiJdq2U8m6dvTqZBBfdeGDn3SdRYsWLahYsSJHjhxBoVAwYsQIKlXSrOOR1YIcOHAgT58+pUePHvTrZ9hfriyRpSPHww1iz8zMjF3BQfxv6CDMLSyYNl1z0NdEXuJN2VMXaaJcufKUK1ceyCkG5OnpSYtWralZtTxm5uZUqVKNgYOGvFVfk9IymbbzIltHuvMkMQ25iYyeK45z61GSukypYqpAFXb+PgB//POQP/55SP2K2mswAxQqVIjl/qto1KgR1jY2KDIz2f/nYZ1sZccYz0C9+g1YtdKP6OhobB3KEvDzOtLS0nj06BEOL37ctCUq8holS9ozbMhn/HPhPEWKFmP23Hl6+6oLWXKgmsrkdzR2k58+fUrRokVp3749HTt2xMbGhqdPn2o0/Pz5c9zd3VmxYgXr169n8+bNHDlyxCBOZ/HT2jV4e3tToWJFg9ns5N2ZuLg4pn79DV4dPPUW41a+ko03C7lcrpO9xMREfPv25N/r1/Fb9QM//fQT0Tdvcu3GXSJv3KVc+fJMnqhbViFdfa1qX4iRrSvTbuHfNJl9kFX7r+Pf31X9fc3SRdj0v4YAHLwcq5Nvr3LxwgXmzpnFpUuX+Df6LhMmTaZPz24G0To29DPQuElTJk+ZRpcuXWjiXg8TExOsra11bhUCpKenszcslIGDhhAeHs6w/42kS6cOpKam6uWrLsh42TrMdXvrXmmPxkzX1atXf+0PxNbWlr/++kurE61fv5579+4ZNP1/7dq1Wb58Oc2aNdPbVlRUFPfv36dJE9WL/szMTMzNzXn48CE2NjY62/3ll1/Ytm0bwcHBgErjwdXVVacX6Ldu3cLLy4saNWqwbt06rKys6NixI127duXTTz8FVCqGI0eO5OLFi+/UV2OzcOFCLly4wM8//wy8vF8PHjxQJyTWFmM9A/Hx8Tx48EA9EHn37l2cnZ2Ji4vTeZnaunXr8Pf3Vyc2hZd/lzVq1NDZV11Y9vdNnmlIC17U0pQvmpZ/Ow7piMZu8pUrLzVy09LS2L17Nzdu3NBoODw8nPT0dNzd3QFV106bd4cp6Xknanjy5Ilal8UQqfRv3onBt19vToSfxdG+BOs3bKRmTScKFrXRK628R8s2jB07louXVeJN/itV4k152XxT4oX4+HiaNWuuFgPKAOJTFNSpU4et23fQuXtf5HI5m7fuoG69Bm9MA29mmndHQBdfa321h4aVrJnboxbd/I7xKCENz1olGd++GnN2XWFODycG/RjOxTvPiVzQjirjcyZqqF/RmuldPqLDopxdXE2JGmo6u+Ln78+DBw8oYm1H0M5AyleoQMGiNrk+D8Z6BhSKvJ+/6zfv0qFday5fuoSpZWFmzJxN9x69SE6H3MQtNMXI5q3bMnbsWI6cCKdxAzf2HTiETCbD3rF87tcPWOYhQaor/5l3htkxNzfHx8cHHx8fxo4dm2fZ+Ph4li9fzubNm0lPTycwMJAZM2bo5Wx2DC2y1KRJUyZOmoJn6+aYmZpi71CKrTuCNB+oAUOJV+UmBrQn9DfuzZxNPVcnLCwscKrlzKKluo0m6+rr8euPWXvoBhuHNSAtU8GzpHSGrT/Niv6uyJAxp3stddnpXT5iRuAlnfzLTvMWLRk9ZhzNmzfHzMyc4tbWbN2u3/0y1jNQtVo1xo6bSIMGDcjMVODeuDGLdbxHWdjb27NleyCjR40gOSkRM3MLNm3dgaWOg2f6YEjd5HeJxm5y9veDSqWSixcvMmPGDP744w+NxpcuXcrevXtRKBT06dMHX19fyY5pahlm8a5FlrRBql1tUnhJFQMCzS3D7Ej1VdsUXq+2DHNDagovbUSWjPUMaGoZZlHAXEZSmlRfpZ0btPgbwDgtwxVHoiV1k0c0LmfwcxsSjS3Dhg0bIpO9zBlnY2PDlClTJBkfPXo0o0eP1s9DgUCQr/lQWoYag+H27dtxcnJ6G74IBIL3EBMJK0xM3oNoqLHfJDRPBAJBXmSl8Mpze9dOSkBjy7BatWqEhIRQt25dChQooN5frFgxozomEAjeD/4zo8n79+8nLCwsxz6ZTMbly5eN5pRAIHh/+FBWoOQaDLPWTV64cOFt+iMQCN4zZBIGUN6DWJh7MOzZsyeBgYFv05ccZCqkq+NlSpjaoK3a2LtEmykw2pTPyNRiWZmpiaTyZ2Z7SrepRfkyg7dIKhe3vpfksnfW9pJULj9gDNVFY/0FfPAaKIZY4ykQCD58Pvh3hqmpqVy6dCnXoFizZk2jOSUQCN4fPvh5hrdv32bUqFFvDIYymYz9+/cb1TGBQPB+oHpnqEk3+S05owe5BsPKlSsTFKT/ukyBQPBhk5XCS1OZ/I7QTRYIBHohRePkvdZAcXNze5t+CASC9xRN+idZm7bMmzePSZNUGjyXL1/Gx8cHT09PpkyZQkaGKjHEvXv36Nu3L23btmX48OEkJibqdR1vZOrUqTobNQabf/0F93quNKpfh1bZlOFAlVmnoZtLjn26YCxlNIBdwUEULlzYYPYMpriXS73u2LGDpu71qF/Hma6dO/Lo0SO97aalpfH5iGG4uTjh5uLEVxPHaVRaHNS6CsfntufgTE/WDHOnWMGX2aFLWatWRFkXernP06UUkf5dODjTU70VspTeATJUvYJqRsbgzwawdPFCQCViNWzIQNxca+Hm4sSwIQNJTk7W2f6mjb9Qv05tXFxcaN60ERHhhpG/0BqNmsnaq8gfO3Ysx9S+8ePHM23aNPbu3YtSqWTr1q0AzJgxgz59+hAWFoaTkxMrV67U+TKMumTwwIED+Pj40K5dO2bPnq2znWvXrjJ18kQCd4Vy9ORpJkyaTN+e3QAIDQ2lRVN3Iq9d1ctXYymjAURFRvLVxHEGm65kKMW93Or1dEQ4I0eO5JdN2zh5+jxVqlRl5nTpP4652fX39ycuLpaTp89zPPwsJ44fY+f2rbnaaVLdjs/b16DL/IO0mLaXfedjWDygHgA9GpUn5KuWrx1Tr3IJVoRdpcW0veotQWIuLkPVK8CVy5dp37Y1QTu3q/d9++23ZGRkcjLiHCcizpGcnMLC+XN1sn/t6lUmTxpP8G9hnD17lkmTp9Krh49OtvRFJnEDiImJ4c6dOzm2V39wnj59ypIlSxg2bBigygyekpKCi4sLAD4+PoSFhZGens6pU6fw9PTMsV9XjBYMb9++zfTp01m5ciW7du3i0qVLHDp0SCdbFuYW+K96XRkuLS2N5cuXs3bdBuztdRPWySJLGa1o0aJqZTRrPVK9Z5GUlMSnvv2Yt2Cx3rayeJOK3eZNG7UOtrnVa8DP6/jss88oV748AF9Nnc7oMdITduRmd+TIkfz8y2ZMTEx4/OgRz54+pbh17oJQtcsX59ClB8Q8UbWefgu/jadLKUpbF6B9ndL0WPj681S/cgma1rDjz5mehHzVCveqtpL9NlS9gioZ74BPP6NL1+7qfR4eHkycNAUTExPkcjm1a7tw69YtrW0DWFhYsHL1WrWgVJ26bjy4r/qbeNtkLcfTtAH07duXVq1a5diypBuymDZtGl9++aVahOzhw4fY2r68j7a2tjx48IAnT55QqFAhdQb9rP26YrQBlH379tG+fXvs7e0BWLJkCRYWFjrZKle+vPoPU6lU8tWEsbTv6IW5uTlhYWEkpOon2JOFMZTRRg4fyqDBQ6lVy9kAHqowmOJeLvV6K/omNsWL0rNbZ25FR1OzphNztQjmed2vNKWCaVO/Ys2qFbjWcaNR46a52on49zGDP66Ko00B7jxKonfTiliYycnIVDDA/83iYo8TUtlxPJqQ8Ds0qFKCgC+a0uzrMHVAzQtD1SvA4mWqTNb7/9in3temTRt1ctdb0dGs8F+G/4rVWtnN4tU6njhuDB28OuklMqUr2Vt+eZUB2Lhx42uvRrLX7bZt23BwcMDd3Z2dO3cCoHhFqEypVKpzrL668kZXTRkwYjCMjo7GzMyMYcOGERMTQ/PmzbVK9FrQ4vVGa2JiIp8OGMDt27cJCwuj0IsyhSxMkMmggLmJep+u9OjamR5dO/PDDz/QqYMnUVFRmJjoZnPlypVYmJsydPBAbt68CagyKOuLHAWmcpnaVtZ/C1rI87afy7K9V+u1e/fuhISEsH//fuzs7JgwYQJfjhyq9VSrV+2C6l4tXjCPeXNmM3jwYMaPHvFaywBUy+yyOLuoU47v/lnWOcfna/45u4cd3crk+Hxhibckf3Wu1zxCgakJmJvKKGCuKlPAXEZERARdunRh1MiRdO3iJcm33EhMTKRHtjo2xPOlLSYmMo35CrO+1ySNGhoaSmxsLN7e3jx79oykpCRkMhmxsS9VFePi4rCzs8Pa2pr4+HgyMzORy+XExsZiZ2en83UYreoyMzMJDw8nICCAAgUKMHz4cAIDA/HxkfZeIzFVkWNt8u1bt+jR1Ztq1asTErYfUysrElIVFLIwISFVgVIJSWmKXFuJpvK8A9r1F8pojZs0wdIU+vQfqArksU90Vkb7ad16kpOTqF3bhbT0NJKTk6ld24XAkFBKlSqlk00Ah9JlOXb8BCkZqj/Y69F3KV68OHKLgnmmqn/TWuM31attSQecnZ0pVNyOpHTo2deXDm1ba9UCf5PdI0eOUKCoDVWqVAXk9OzTn3Fjvnij3fJDt1LI0hTbIpbceJgAgH0xK/6a3ZaqI1++WI9b34uqI3fyOCGNIgXMGNiyCkt3v9RY+XV0UwJP3GLbsWiNa5N1rde80v5nKCAtQ0lSmpIC5jJ+/mUTX34+gkVL/ejZq0+uMgBSkqHeunWLbp29+OijGuzZdxBLK6s8/ZQBFkb4i5eh+X2b1PbaunXr1P/euXMnJ0+eZO7cuXTs2JGIiAjq1q1LcHAwHh4emJmZ4ebmRmhoKF5eXgQFBeHh4aHrZRjvnWGJEiVwd3fH2toaS0tLWrduzfnz53WyFR8fT/s2Lenk3YX1AZuwsrIysLcQcz+G/v16ERcXB8DmX1XKaPpIRB4+dpKIsxc5EXGWoF2hWFlZcSLirF6BEKDVx204eeI4UZGRAKxdo1Kx05bc6rWzT1d2796tHkHeFRRInbrSp1rlZvfAgQNMGj+GjIwMFAoFWzb/SrPmLXK1Y1/MiuBJLdWjwWO8PmLn8ehcyyckZ/BZq8p0dHMEoFbZYrhWtGH/hRhJfhuqXnMjJCSEcWO+YNdve+nZq49etuLj4/Fs3RzvLj5s3rzZKH8TUtE0kqweUZgtbS8AACAASURBVNaDhQsXMnfuXNq2bUtSUhL9+/cHYPr06WzdupX27dsTHh6ul8yI0VqGLVq0YOLEiTx//pyCBQvy999/06pVK51srV6lUoYL2RVESDZluJA9+yhUSvoL8rwwljKaMTCU4l5e9Tp69GjafdwChUJB2bJlWfH9Wr3t7vt9L7fu3MO9nismJia4N2rMN7Pm5Gon6n48y367zO/TPsZEJuN4ZByTAiJyLa9QKvlk2d/M7VeXiZ2dyFAoGbzyKI8TpA0qGKpec2PcuHGgVPK/YYPV+9zdG7Fk+QqtbX2/0p9b0dHsCgokJDiQrDGe0N/36/UDrgvavDPUhiwlTlDpt2/fvv21MqVLlyYgIEAH66+jUR1PH7Zv38769etJT0+ncePGTJ06VfL7t1e7ybmR1U3WhKZucnbetTqesWxqk8JLar1qgzY2yw/NfcpNduLW96LEgM2SymqTwutdq+Npoxki1VdjdZNDLz0kKT3v+aIFzOS0/0j393lvA6O+bu3WrRvdunUz5ikEAsE75oPPZygQCARSMFY3+W0jgqFAINAPKavt3oNoKIKhQCDQC1UiBg3zDN+OK3ohgqFAINCLDz7t/7vGVG4iURBKu5FiQ6PdYLzMCNoy0m1qW0/GqFepNrUZ+ZVa1rrXT5JtJm0fKLn8o02fSrYrNShIHaF+YVVSeVm2/zckH7xUqEAgEEjBBJmEbrIIhgKB4ENHDKAIBAKBeGcoEAgEAMhe/E9TmfyOCIYCgUAvxAoUgUAg4MORCn0f5kK+EWOINxlLYCc4KFBtt12bVvx7/breNidNGEvVSuVwcXGhgZsrn/SRPhUlL4xRr4YUWcqOUqnE19eXJS8El6QyrF0Nzi7ryvEF3qwf3ZziLwSlhnhW5+j8TpxeqsqUYm5qQtEC5hxf4J1ji98ygFEda0o+38aADTRwc1XfqxpVK1KkgLleKeoBVq3ww8WpOi4uLvh+0ofHjx/rZU9XZBL/l98xWtaabdu28csvv6g/37lzB29vb6ZNmybp+NQMcp1neDoigt49u3Iy4hwlbYoyesw4EuLj8V+lWwp1UAnseLZuztGTp6lQxoGgkFBGjRhG5L95a1Roqr7k5GTKONhyIvwsTjWqMH/hYg4c2E9g8G6dfQVo3rQR381fSAuPxiSnS7uFmnLKGaNeY2NjqVu7JgcOHcGpRhXGjp9IQnw8y/x1VzEDleDS6M9HcOrkCaZOn8GXY8ZpPMa610941LTnx8+b0fyrEO4+TqK3RyU61ivL1sP/Mr13XVpN3c3TxDQStw3k61/CWRSUMwfnsHY16NKwPB1mhpGRqap3qfMMrcxkPE9K4+OWzejX35dBg4fmWlbTX+WhPw8yaGB//vzrGFUqlmHtug38FrKLjZu35XqMDLAyN3xQOvHvU1Iz8s5GZGFqQoOKxQx+bkNitJZh9+7dCQ4OJjg4mIULF2JjY8PIkSMNYtsY4k3GEtjJzMxEqVTy7PkzABISErC0sNTLZmpqKufOnmHxwgXUqlWL3j26cVtHYaHsGKNeDSmylJ3vV61gwMBBdO/eXXPhbLhWKsGB8/e4+zgJgOAT0bR3K8uAVlVZHnKRJwlp6kC06a+oHMdWtC/MxK4ufOb3lzoQasuiBfOwtbXLMxBK4czpCFq0bE1pR1UiW+/OPoT+FvJOBKE+lJbhW+kmf/PNN3z55ZdY56GEpi1Z4k2Ojo4c/vsv+vtKXwXwJsqVL0+79h0AwwrsFCpUiOX+q2jp0ZhSpUqxetUKZs/5Ti+bMffu0axFS6bPmMX58+ep36AB3bt2NsjqFkPXa14iS/qwdLk/vXprny36VGQszZ0cKFOiIAD9W1TBwkxOtdLFsC1qSfCUNpxYpNJYeZqYM7B807su3++5xJ043YTK4+LiWL50MfMX6q+UWK9+Aw79eYBb0arM3wE/ryMtLU1rfWtDYCKTtuV3jB4Mjx49SkpKCu3atTO47U7enYmLi2Pq19/g1cEThUL/ZKSJiYn06NGD69ejWLVaenbn3Lh44QJz58zi9Ll/uHfvHhMmTaZPz256Ba7yFSoQtOs3ajo5IZPJGD1mHDf+vU70C9EpfTFkvSpfUTbLQi6X6+Oizhy9/IA5286wZUIrDs/rhEKp5FF8ChkKBS2dS9Nv8UGaTNwFqIJfFqVtCtLapTQrfvtH53OvWbOGjl7eVKhYUe/raNykKZOnTKNXDx/c3NwwMTHB2tr6najjaSMVmq9RGplRo0YpQ0JCDGozMjJS+ffff6s/Z2RkKE1MTJRxcXF62Y2OjlY6Ozsre/bsqUxKStLXTaVSqVQuWLBA2b9/f/XnLF9jY2N1tnnu3Dnlhg0b1J8VCoWyUKFCytu3b+vlqzHqNSAgQNmpUyf155s3byqLFy+ul5/Z8fX1VS5YsMBg9oyJs7Oz8s8//zSIrefPnysjIyPVn+/cuaO0trZWKhQKg9jXhtM3nimPRT7Jczt949lb90tbjDq1Ji0tjVOnTvHdd9p3C/MaQLl5Jwbffr05EX4WR/sSrN+gEm8qWNRG57T68fHxNGvenH6f+DJrxnRSMqSlUldqaOHVdHbFz9+fm3fuU97Rnq3bAylfoQIFi9pIHvh4lbRMGZ9//jluDRpTo2pFlvmvxKmWMzYlS+dpU9MAijHq1aNlG8aOHcvFy5E41aiC/0qVyJIh5Q/SFdLulXWvn6hSqgih09tRZ/RO4pPTWTrIHYVSybV7z+jaqAJes/aSkpZJ0vaBfL/nEmN+PA7AlgmtCDx2k81/vz4TQMoAypMnT4iKisK1nruk+66p43D95l06/L+9c4+LKf//+GuqKdkkoQulbKJduknaSORL1HShQqxL29r4yWXTUlqX/drNl9ZX7Ipl3ZZ13SIiYYUv1WblfmsTqZRKpElTc/v8/kizRZczc2aW+Dx7nD/mzDmv8/6cM+fd51w+75fHCGRdvQWjLh3x7+XfYdz4QAhEQHNnjqoeoLwr1V1Vmgyzs7Nhbm6O9u3bK1VXFeZNqjLYGeY2HF/O/wqjR7hBS0sTep30cSCeXax9+/XDf2N/QMBYH0ilEnTrboJfdu1hpQmoZr+q2mRJXnKKKvHfQ9dx7j/eUONwkHG3BGFbMyAUS6Gvo4W0VT5Qf+nTs2zP3+ZTFsa6eFhWpfB2c3PvwdjYGFwul3UbAKB3nz4I/yoCw1w+ASFSfDJoMNasXa8UbUVoCw9IWkOlhlDJyck4deoUYmNj5V63pZ5hQ960yZI8u0+by1G4N6gMTXnsGt/0flWFprwlvNoHKLeElzzHSp6zkqnRlKp6hlfzKyEUt7x9TQ0O7HroKn3bykSlPUNPT094enqqchMUCuUNQws1UCgUCsDoLcK2cBlNkyGFQmEF7RlSKBQK3pmHyTQZUigUJdAWsl0r0GRIoVBYUTfCpPVl3nbe2mQokRKG7ngcSBg4g8k3NpK545y8LyYxWV4qp+Mek/YD8t63YabLdNsA0E5DDcJWqpvUw/h4aahBLGGm+WSPfOOsmS5vGrKfmd72QMbLPtw0gdFy9ajs/TiGvP2prnXabD1DCoXylsBhODFk/fr14PF44PF4iImJAVBX48Db2xvu7u6N3lu+c+cO/Pz8MGrUKHz99dcQixV/kZUmQwqFwgpllvBKT0/HhQsXcOjQISQmJuLWrVs4evQooqKisGHDBiQnJ+PmzZs4d+4cAGDBggVYunQpTpw4AUIIDhw4oHA7aDKkUCisqH+1prWJCV27dkVkZCQ0NTXB5XJhYWGBvLw8mJmZwdTUFBoaGvD29kZKSgoePXqEmpoa2NnZAQD8/PyQkpKicDve2nuGFAqlbSDPe4bFxcWQSCSNvtPV1YWubt1QPcuXRYABIC8vD8ePH8fkyZPRtWtX2XwDAwOUlJSgtLS00fyuXbuyslKgyZBCobBCnhEon376KR49etTou9mzZ2POnDmN5uXk5GDGjBlYuHAh1NXVkdegVichBBwOB9JXamXWz1cUmgwpFAor5OkZ7t69u8meYUOysrIwd+5cREVFgcfj4eLFiygrK5N9X1ZWBgMDAxgZGTWa/+TJExgYGCjcjjZ1z5AQgpDPg7DupRvap4HjYGdnB2dHezg72qNbVz2M9/NVWF+ZjnOEEHzxeRDWvoxVIBAgODgYA+ytMcCuH2aGBEMgEMiluW/Pr3B2tMeggf3xr2EuuJxV5953+FAChjg7YmB/G/iP8ZK79Pur+xUAunTpItuvzo722L93t1yamzfGwam/NT5xsMHEcWNQ1sBlr7CgAFYfmqL8yRO5NJtqv1QqxeKoCDjaW8PJwRaTJvg3OkHkhY3j3PR/WeKPFZ448+9R2DzDGXofaEKNw8F3E+2RsaKuYEnQMAvZ8i5WBkj9xh3nlo9G4kI39DVt3TBJ1eeAIsjzMNnY2BgmJiaNpobJsLi4GKGhoVi9ejV4vDobDltbWzx48AAPHz6ERCLB0aNH4erqiu7du0NLSwtZWXWl1g4fPgxXV1fFG6LKyrGJiYnE09OTeHp6kpUrV8q17otaKalqMF26eou4DnMj7du3J9H/iZHNJ4SQqlopOZeWSUx79CB37z1stF79VC1sfRro9AlJPXeBEEIYLV8tlJIXta9PWa/E+qJWShZGRpEpU6YQvkBMKqtFJGB8IImMWtzk+vwayWtT1vXbxNDIiOQ8KCT8GgmJT0wiJiam5M8//ySGRkbk5t1cwq+RkNA580jw9JAmNZraL03t18vX7xBLS8sml391ei6QvDadTbtIevQwI/mPn5LnAgmZPW8+Cfr8C0IIIT9t2U56mJkTAOR+QUmT6z8XMG//zz//TIYOG06ePK8m/BoJmTf/KzJx0uQm29/Uvm44JZ84Tbp1707+ys0nhBDy87ZfyJix/q2u1zloL/FdeZo8Kn9B+oUlks5Be8nMTRnk8MV88tUvf5KT1x4Rg+B9hBBC/ip6Tkb8+wQx/7948qyqloxZlUo6B+0lTpFHSU7Rc2I8fT/pHLSX8bGS5xx4UauaKtg5JS/I7aKqFqeckheMtL799ltiZ2dHfHx8ZNOePXtIeno68fb2Ju7u7iQ6OlpW0fvOnTvE39+fjBo1isyfP5/U1tYq3A6VXSYLBAJER0cjJSUFurq6mDhxItLT0zFo0CCF9Db/FIegzz6HqWmP174TCoUI+TwIq1bHwsTU9PWVGdDQcW5u6ExY9OqNmNVrYNrj9e0pEutgF1dYWfaE2svCoba2drhz5zZjTS1NLazfuBlG9e59/QegpOQxtm3bhqnTgmFmbg4AWLR4GZ7K0TNsKtbMP9Khrq6OkcNdUfn8Ocb4+WNh5NeMfUvs+zvg8s1scLlc1NTUoLjoEczMe6KoqAhHjxzGoaTjcLD5iHGMQPPtt7S0xHf/WQUtLa2X8x2w+aeNcmnX05TjXOjMLyAUClv1FrE174Rzt0tQ/Kyut38sqwBrP3OEvo4mtqXek72cfigzH+OczXEg/QEqBSKcv1N3w//eYz74NSI4WnRBWnbTXtWqPgcUhcNgBArTe3mLFy/G4sWLm/zuyJEjr82zsrJCfHw8I+3WUNllskQigVQqhUAggFgshlgslv1gFWHNuvUYH9i0G9ov27fC2LgbfHzHKqyvTMe5NevWY8IrsY4Y6Y7evXsDAPIfPkTc+nXw8wtgrGlmbo7RHn+79y1aGA5PL2/k5eVBLBFjQsAYODvaI3zebOh06CBXrK/uV7FYjBEjRiAx6ThOnD6H06dO4qe4HxlrAnUue0ePJOKjXj2QfuE8Jk8NQrdu3bB7fwJ6WfaWSwtovv1Dhw6FnX1/AHWl9Veu+A5j/Znv14awcZzLyn2KIR8ZwKRzXVX3iUM+hBZXHUZ62jJbUgAoelaNbvrauPeYj/Za6hjW1wgAYN9TH326dYShXvM2sqo+BxRFye9cvzkU7lMyYOfOncTa2poMHDiQhIaGKsWspikDIEtLS3LmzBnW2g2RSqWkQ4cO5P79+wprNBXrpUuXiKmpKYmOjlZIs6qqigQEBBAnJyfy7NkzMmLECPLxxx+T4uJiIpFISHh4OPH19VVKrPXEx8cTV1dXheIlhJDNmzeTnj17EolEIpsHQCFTrFfbX8+9e/dIv379yIwZM1j9zrZs2ULs7e2Jg4MDiYuLI/r6+qyNxpTNP3UOMCW3tJpkP37R4pRbqhyDNVWissvku3fvIiEhAWfOnEGHDh3w1VdfYevWrZg+fTqj9auFTY9NFksBoZjgxcsy53/dugqRSIwBzq6yeU3RWjf+xvXruHH9GiZNniIrz04IgRgaLZZqb6njWB9rfUn2Iwf3Y9asWfjv2h8xIXBSs6XamxubXJCfj/H+vuhjZYWklNPQ0NZGt27dYNXXGjqdDFAtAiZ8Og280SNQVfv6eN2WLlUa7te9u3dhoIMdLKysAQACkRRq6twm929TY5Nzc++h9PFjOA92AQAETArCzJkz8ezZM3A/6CRbjl8jhWZN0+OKmzpeTbUfAJJPnMa0KRPx5fwFmBcW/jLO1+NqrVgAn8/HQGdXTJwSjPaaHNx7UIglS5agnU6nFsvq95ixHzrtNNBVtx0elNb5pBjpaeN/347GzfwKbDn9F5IvP8KT7YFYlXgDHbU1sWT/FXxsoodbBRUyncz/eCJ4QzpuFVS0ODZZ0XOAgzqLAGXzrhR3Vdll8oULF+Ds7IzOnTtDU1MTfn5+uHjxotK3c+7cOQx1c2P1fhEAqKmp4av585D34AEAYPOmjehnbQOTl/eP2JJ8NAlz587FkWMnXruEZgKfz4en+3D4+I7Fjl17of0yEQQEBCAl+ZjsUu5I4iH0dxjAKtbbt25i6dKlkEgkEAgE2LQxDv7jxjNev6S4GMFTJ8meFh/Ytxsf9+3HylirufZfvnwZkyb4Y/PWHZgXFq6wPlB3q2S0uxsqKysBADErozFufCCj35aRnjYORwyHTru6/sV8749xMPMhki8X4tMhH0L9ZXYfO7AHkq8UghBgX5gr7Mzr/jmMGWiKGpG0UXJkirLOAUVR5giUN4nKeoZWVlb4/vvvUV1dDW1tbaSmpsLa2lrp28nJyUEPM3PWOqpynKsnKnIBCCGYNfML2Txn50GI/SGO0fqbNsYhP/8hko4kIunI3451Z1JPI3TOXHiMdINUKkWPHj0Q99MWVrEuWrwMEfPnYGB/G4hFIoz1D0BQMLMePQAMchmC8IhF4I0aDg0NDRgZG2P3gYOsYmqu/YYGXUEIwbLFUVi2OApA3f3FvQpsj43j3L3HfKxLvoOTS0ZCjcPBHzlPEPlrFkQSKcwNdHBu+WgAwO7z95GeXffqz4xNGVgTNBCaGmooqRBg6o/n5Y4ZUN45oCjvSqVrlbrjbd68GQcPHgSXy4W1tTWWLVvG+CFKc5fJr/KBJqfFS4N65Cnh9aZdzOQp4aWjpdbkJXFTyNNzYLpf5SnhpdtODZXNXBa/CtPjJU/75ampx/RYAXWXyUx4sj0QXT7bx2hZeUp4MT1WqrpMzi+vhbiV34GGGgc9Oiv+APWfQKUjUEJCQhASEqLKTVAolDfMu9IzpMPxKBQKK6gHCoVCoQDvTDakyZBCobCCw2n9fiy9TKZQKO8870jHULVPk9lQK2ZmctNOA6hR3PbgH9OUR1cqxxNaeZ56yvPkt0M7NfAZPPnVUGf+M5fnKT3TJ9/yHCt52s/0CS3A/Mm3PO03DmJeJahi92Toffprq8v16PIBrq9T/nC94ue1aM2TS10NMO74Hj9NplAo7wNtod/XOjQZUigUVtBXaygUCgXvzj1DmgwpFAor1MABaSXbtYWS+jQZUigUdjDp9rWBriFNhhQKhTVtINe1SlvovTYLIQTTpk1DbAMjIzYcTz4GR3sb9OnTB5MCx8lKObFlY9x69Lfti379+mGcny9KS5su6y6fpuLGRQ3Zt/dXDBpoj8FO/THipcnSgvnzYGdnh8FO/THYqT96mhrC2dFO4ViVabTVkOPJx2BjYwObvuyOF2nCEKueieP9MX/ebFZx3rxxA6NGuMHe3h6DP3HE5ctZjNcNce+DP7/3wfkVntgS6gK9DzShq83FL/OGIH2lF/6I8WpyPbOuH+DBpnGw66nPKnYmvCslvFSaDDdv3oxRo0bB29sbGzcq5kvRHHfv3IGH+7+U5n9QVlaGGdM/w94DCcjOzkbPnh9iSVQka93LWVlYG7saZ/6Xjps3b8KilyWWL1vCSvPc2TNY898YHEv5HVevXsWo0R6YM2uG3Do5f2VjSVQEDh5ORlrmZSyIjMLkwAB8v2Ydrl69irTMy9hz4CDaabXDpi07FI73j4wM7Px1L65evYrMS1ewaw+zyi0tUX+8EhIScP2W4sfr7p074I0egcSDr/+OYlfHID1NsbJa9VRXV8ObNwph4Qtw5coVREYtRvDUyYzWHfKxIeZ5fwzf//yOIVHJOHXtEdZNd8LX42xRVF6NQZFHMXzJcQCAY68usvW0uGrYNGswuBr/TF+Hw/DvbUdleys9PR1JSUlISEhAYmIirl27hpMnTypN/6eNcQgKno5x48YpRe/3UyfhMMARvSwtAQAhM/4P+/buVsgDpSH9HRxw804OOnbsiJqaGhQVPYI+iyKnQNPGRcnHkiAUCuXS0dTSwo8bXjdZaqgzd1YIQueGwcZWsZ5hQ6Mta2trTBwfgIL8fIW0GlJ/vCxZHq96k6Wx/o1/R2fPnsWpUyfw+Rfy/5N5Nc4PP7TAaI86q1Avbx/s2sOs5JetuT7O3XyMopceKkl/5mO0vQmW7LmMxXsuAwAM9eqK3FYKRLL1VgcNxJ7/3cdTfi2r2JlCe4atcPv2bbi4uEBHRwfq6uoYMmQIfv/9d6Xpr/1hPQInyl8xujkKCwtgYvK3q1h3ExNUVlaCz+ez1uZyuThyOBEmJia4cP5/mDrtM1Z6bIyLGmJm9orJUkQ4PHneMie4kyeOo6CgAP8XOkfhWJVptNUQZR2vpkyWiouKMG/ePGzb8StjR8DmuJfzFwwNjTAz5HMMGDAAXh7uEEuYDZnJyn2CIR8bwbTLBwCAT10toMVVRycdLUikBJv+bzAyVnoDAHKK6m4RTBnWC1x1New8c49V3PJAk2Er9O3bFxcuXEBFRQVqa2uRmpqKJ3Kahv+TEKm0ySFgbE+Genx8x+DJkydYvOQbePNGQSplVpC0KQa7DEHU10sRON4PAwYMgJqaGvT19Vu1s2yOFy9eYNqnE3A/Nxc/bvxZNj/ux7UIXxDBah+Y9+yJxCPH0LdfP3A4HHw5/ys8uJ+Lh3l5CmsCqjteIpEIQVMnITY2VtZjZqt3IiUZwdNDcOnSJcycNRtjfXiorW2915aRXYaYg9fx65dDceZbD0gJ8JRfC6FYAgCYsTENFjN/AwBE+FnD1lwfwf+yRNi2TNZxy8O7cpmsUne8bdu2ES8vLzJ58mQSFxdHQkJClL6Nllzd5GHXrl3Ex8dH9jkvL4906tSJtW5OTg45f/687LNYLCZqamqsHNcqKytJTk6O7HNhYSHR19dXyBXu4cOHxMbGhkyYMIFUV//tYFZaWkp0dXVJVVWVwnESQsi1a9fIzp07ZZ+lUinR0dEhBQUFrHSVfbzqf0fp6enExMSE2NraEltbW2JoaEi6dOlCPv/8c4V0t23bRvr3799oXpcuXcjt27cVjvVto6JaTJ6+aHmqqBa/6TBbRWWv1lRVVcHd3R2ffVZ3SbhlyxaYymFuzbRQAwCIpOwLK7gOd0d4eDhu3slBv48ssX7DT/Dy9mWtm1dYjGmTJyLz0lWYGHXBjp270bdvP3zQsXOz2q0VasjNewSexwhkXb0Foy4d8e/l32Hc+EDU3TZqft1XCxXw+XwMHToMEydPxaKvl0IMyIozpKWlob+DI6Tq2i0WbGitUINQwsHcuXMxwGkwPur9Idat34B+1jbobNi9xaIFrRVqqD9eOTk5MO3J7Hi1VKih3nHOxuET3M3NlxVqiP72G5Q/eYI169Y3W7ihpUINw0aMRnh4ONIyL2Gw0wCcSj0HDocDIxPzFttvHLQbvYx1cTjqX/hk4VHwBSKsDnKElADamuoQSwjCtmVCU0MNpb9MQtSuS9iQcreRxvW1YzB13f9w9UHdmwaqKtTwrqCyZFhYWIiIiAgkJCRAIBAgPj4e0dHRqtocawwMDLBpy3ZMmhAAkUiInh9aYMv2nax1XVyGICLya4waMQxcDQ0YGXfDgYTE1ldsATbGRQ3Z/FOdydLRI4k42sBk6UjyqZcmQ2as4gRUZ7RVf7wCAgJQKxTiQyUdL2VjZGSE/fGH8OWcUAiqX4CrqYW9BxLQrl3zZvH13CuuxNojt/D7v0fXmUz9VYoFO/6EFlcNa4KdkL7y79dqNp6424KSauFwOK3eb2sL9wxVWsIrLi4Ox44dg0QiQVBQECZOnMh4XVrCixm0hBct4fWmS3jxa6WtGqNxOEAHrbf7tWaVjkAJDQ1FaGioKjdBoVDeMO/IaDw6HI9CoSiBtpDtWoEmQwqFwgomr820hVz5dl/EUyiUtx41DrNJHpKSkuDp6Ql3d3fs3s38/ikbaM+QQqGwQ8ndvpKSEsTGxuLgwYPQ1NREYGAgnJyc0KtXL+Vu6BXe6mTIdB+roguuqm69Km42M95PcgozWV5lsb5hTVXpMl22x8sheExhsnw3/fZyaTJFjcNh9DQZAIqLiyGRSBp9p6urC11dXdnn9PR0fPLJJ9DT0wMAjBo1CikpKZg9m131oNZ4a5OhlhyRybPsm9RkrivfaautqZp0oKOCVyHacZX/b4b5sZJv2+0Z71fmMG2/vK/AvMmXqZnu/5qaGvj6+uL58+eN5s+ePRtz5vw9/r20tBRdu3aVfTYwMMD169eVEmtLvLXJkEKhvFsIhUIcPHjwtfkNe4UAIH1l3DkhhPF7p2ygyZBCofwjvHo53BxGRka4dOmS7HNZWRkMN/NTEAAACnJJREFUDAxUGRoA+jSZQqG8ZQwaNAgZGRl4+vQpBAIBTp48CVdXV5Vvl/YMKRTKW4WhoSHCwsIwdepUiEQiBAQEwMbGRuXbVenYZAqFQmkr0MtkCoVCAU2GFAqFAoAmQwqFQgFAkyGFQqEAaMPJUFUDuauqquDl5YXCwkKlaa5fvx48Hg88Hg8xMTFK0Vy3bh08PT3B4/Gwfft2pWg2ZNWqVYiMZO8bDQBTpkwBj8eDr68vfH19ce3aNaXopqamws/PDx4eHvjuu+9Y6/3222+yGH19feHg4IDly5crIVLg8OHDst/AqlWrlKKpSl/y95I36sCiII8fPyZubm7k2bNn5MWLF8Tb27uRQZKiXL16lXh5eZG+ffuyNiyqJy0tjUyYMIHU1tYSoVBIpk6dSk6ePMlKMzMzkwQGBhKRSEQEAgFxc3Mjubm5SomXEELS09OJk5MTiYiIYK0llUqJi4sLEYlESojsb/Lz84mLiwspLi4mQqGQTJw4kZw9e1Zp+n/99RcZOXIkKS8vZ61VXV1NHB0dSXl5ORGJRCQgIICkpaWx0kxLSyNeXl6Ez+cTsVhMZsyYQU6cOME61veZNtkzbDiQu3379rKB3Gw5cOAAli1bptS33bt27YrIyEhoamqCy+XCwsICRUVFrDQHDhyInTt3QkNDA+Xl5ZBIJGjfXjmD8CsqKhAbG4uZM2cqRe/+/fsAgODgYPj4+ODXX1svT8+EU6dOwdPTE0ZGRuByuYiNjYWtra1StAHgm2++QVhYGPT19VlrSSQSSKVSCAQCiMViiMViaGlpsdJUtS/5+0ibTIZNDeQuKSlhrRsdHY0BAwaw1mmIpaUl7OzsAAB5eXk4fvw4hg4dylqXy+Xihx9+AI/Hg7OzMwwNDVlrAsDSpUsRFhbGaNgUEyorK+Hs7Iy4uDjs2LED+/btQ1paGmvdhw8fQiKRYObMmfD19cWePXvQsWNHJURc98+2pqYGHh4eStHT0dHBvHnz4OHhgaFDh6J79+7o378/K8225kveFmiTyfBNDeRmQ05ODoKDg7Fw4UKYm5srRXPu3LnIyMhAcXExDhw4wFrvt99+g7GxMZydnZUQXR329vaIiYlBhw4doK+vj4CAAJw7d461rkQiQUZGBlasWIH9+/fj+vXrOHTokBIiBvbt2yezuFUGd+/eRUJCAs6cOYPz589DTU0NW7duZaXp7OwMPz8/TJkyBdOnT4eDgwO4XK6SIn4/aZPJ0MjICGVlZbLP/9RAbkXJyspCUFAQwsPDMXYs+1JLubm5uHPnDgBAW1sb7u7uyM7OZq2bnJyMtLQ0+Pr64ocffkBqaipWrFjBSvPSpUvIyMiQfSaEQEOD/SjQLl26wNnZGfr6+mjXrh1GjBihlDJPQqEQf/75J4YPH85aq54LFy7A2dkZnTt3hqamJvz8/HDx4kVWmvW+5ElJSdi1axc0NTXl8iWnvE6bTIZvaiC3IhQXFyM0NBSrV68Gj8dTimZhYSEWL14MoVAIoVCI06dPw8HBgbXu9u3bcfToURw+fBhz587F8OHDERUVxUqTz+cjJiYGtbW1qKqqwqFDhzBy5EjWsbq5ueHChQuorKyERCLB+fPn0bdvX9a62dnZMDc3V9o9WACwsrJCeno6qqurQQhBamoqrK2tWWkWFhZi1qxZEIvF4PP5iI+PV9pl/ftKmyzU8KYGcivC1q1bUVtbi5UrV8rmBQYGyuUh/SpDhw7F9evXMWbMGKirq8Pd3V1piVbZuLm54dq1axgzZgykUikmTZoEe3t71rq2traYPn06Jk2aBJFIhMGDB8Pf35+1bkFBAYyMjFjrNMTFxQW3b9+Gn58fuFwurK2tERISwkrTysoK7u7u8PHxkfmSK+Mf4vsMLdRAoVAoaKOXyRQKhaJsaDKkUCgU0GRIoVAoAGgypFAoFAA0GVIoFAoAmgzbBIWFhfjoo48aVVTx8fFBfHw8a+0ZM2bI7Bt9fX1RWVnZ7LJ8Ph9Tp06VexspKSmYMmXKa/MzMzPh5eXV6vp9+vTB06dP5dpmZGQk61EelPeLNvme4ftIu3btcPjwYdnnkpISeHl5oV+/frCyslLKNhrqN8Xz589x48YNpWyLQnnboMmwjWJoaAgzMzPk5eXh9u3biI+Ph0AggI6ODnbt2oXffvsNe/fuhVQqhZ6eHpYsWQILCwuUlJQgMjISpaWl6NatG8rLy2Waffr0QUZGBvT19bFp0yYcOnQIGhoaMDMzw8qVK7Fo0SLU1NTA19cXBw8eRF5eHqKjo1FRUQGJRIIpU6YgICAAQF29xaSkJOjp6cHMzKzV9jx48ADLly/HixcvUFZWBisrK6xdu1ZW3WXt2rW4ceMGpFIpvvzyS7i5uQFAs+2kUOTmjRYQozCioKCA2NnZNZp3+fJl4ujoSIqKikhCQgJxdHQkfD6fEFJX73DSpEmkurqaEELI+fPnyejRowkhhMyaNYvExsYSQgjJy8sjdnZ2JCEhgRBCSO/evUl5eTn5/fffibu7O6moqCCEELJixQqyYcOGRnGIRCLi6elJbt68SQghpLKyknh4eJArV66QU6dOEU9PT8Ln84lIJCIhISFk8uTJr7Xrjz/+IDwejxBCyMqVK0liYiIhhBChUEi8vLxISkqKLK5NmzYRQgjJzs4mAwcOJOXl5S22MyIigmzZsoXdjqe8V9CeYRuhvkcG1FVs6dSpE77//nsYGxsDqOvV6ejoAADOnj2Lhw8fIjAwULZ+ZWUlKioqkJ6ejoiICACAmZkZnJycXttWRkYGRo8eLSuJtWjRIgBoVP07Ly8P+fn5jcYu19TU4Pbt28jNzcXIkSNl8fj7+2PXrl0ttm/BggVIS0vDzz//jLy8PJSWlqK6ulr2ff3wxd69e8PCwgJXrlxBVlZWs+2kUOSFJsM2wqv3DF+lYWEBqVQKX19fLFiwQPa5tLQUHTt2BIfDAWkwArOpCjLq6uqNSqJVVla+9mBFIpGgQ4cOjWJ68uQJOnTogJiYmEbbUFdXb7V98+fPh0QigYeHB4YNG4bi4uJGGmpqfz/rk0ql0NDQaLGdFIq80KfJ7yAuLi44duwYSktLAQB79+7FtGnTAABDhgzB/v37AQBFRUXIzMx8bf1Bgwbh1KlTqKqqAgD8+OOP2LFjBzQ0NCCRSEAIQc+ePRsl6OLiYnh5eeHmzZtwdXVFSkoKKisrIZVKW30wA9SVuQoNDYWnpycA4Nq1a5BIJLLv62sV3rp1C/n5+bC1tW2xnRSKvNCe4TuIi4sLvvjiCwQHB4PD4UBHRwfr168Hh8PBsmXLsGjRInh4eMDIyKjJJ9FDhw7FvXv3ZJemvXr1wrfffgttbW3Y2NiAx+Nh9+7d2LBhA6Kjo7FlyxaIxWLMmzdPVjklOzsb/v7+0NXVhZWVFZ49e9ZizGFhYQgNDUX79u2ho6MDR0dH5Ofny74vKCjAmDFjwOFwsGbNGujp6bXYTgpFXmjVGgqFQgG9TKZQKBQANBlSKBQKAJoMKRQKBQBNhhQKhQKAJkMKhUIBQJMhhUKhAKDJkEKhUADQZEihUCgAgP8HWmh1cV2G1OkAAAAASUVORK5CYII=\n"
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_QZWP804Zk0f",
        "colab_type": "text"
      },
      "source": [
        "# Loading and visualising a model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gZpQYusU2s6C",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# model_load = mlflow.pytorch.load_model('models', run_id=\"7fb32ab42dcb481fa0616cfc3aa0432b\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ROPB4R2LTkEp",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "model_load = mlflow.pytorch.load_model('./mlruns/1/7fb32ab42dcb481fa0616cfc3aa0432b/artifacts/models/')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lq4cStOP2yA1",
        "colab_type": "code",
        "outputId": "77947327-b1db-4393-f763-c401ef2fc3f3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 140
        }
      },
      "source": [
        "print(model_load)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model(\n",
            "  (classifier): Sequential(\n",
            "    (0): Linear(in_features=784, out_features=48, bias=True)\n",
            "    (1): ReLU()\n",
            "    (2): Linear(in_features=48, out_features=10, bias=True)\n",
            "  )\n",
            ")\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RuYEYg2mXGgO",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "weight_layer0 = list(model_load.parameters())[0].cpu().data.numpy()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NpKQf8Xm26--",
        "colab_type": "code",
        "outputId": "9865dad3-76f7-40f1-8fe3-a27417c3e9b5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "print(weight_layer0.shape)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(48, 784)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cEdS_x2l-AdR",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "sns.set(style=\"ticks\", context=\"talk\")\n",
        "plt.style.use(\"dark_background\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TdyMGfTJYPYV",
        "colab_type": "code",
        "outputId": "13b2ef42-6a50-4d15-8384-92b2449cb236",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 294
        }
      },
      "source": [
        "sns.distplot(weight_layer0.ravel())\n",
        "plt.plot()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LSt-JF5fXtsV",
        "colab_type": "code",
        "outputId": "a9d77d38-935f-43b3-fbb0-0725594a5500",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 294
        }
      },
      "source": [
        "sns.heatmap(np.abs(weight_layer0))\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EnqgQuSbYpJv",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "weight_layer1 = list(model_load.parameters())[2].cpu().data.numpy()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8SwzNlfAZMAS",
        "colab_type": "code",
        "outputId": "e5f2af3e-5945-4a56-c0b3-6cd5334f03c8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "weight_layer1.shape"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(10, 48)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "07DXEwG_ZYSS",
        "colab_type": "code",
        "outputId": "64ed06dd-4aa3-4d31-d611-e48df9afcbc4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 294
        }
      },
      "source": [
        "sns.distplot(weight_layer1.ravel())\n",
        "plt.plot()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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+f3yqciLrcOTL7ZiMRtw8hxB92xy14wgrYpECOHXqFKGhoV3Wh4WFcerUKUs8pBD//Omnto7Nz76gdhyrUVdVTc6uvQDE3iUHg8U/WaQAtm/fjq+vLwsWLOhYFxAQwJw5c9ixY4clHlI4uM4//WyQn36uc/Dztp+BxsfH4jU0QOU0wlqYpQACAgKIi4vD09MTgN27d5ORkcGHH37I6tWrWbZsGTt27KCqqoq//OUv5nhIITq4e//zrJ9T3+1n38efqZzI+uTtzqSusgqtTse02xepHUdYCbMUQFJSEvv27WPatGkd65YvX87nn3/OH//4RzZu3MjFixeZP38+VVVV5nhIITrc/fRTeAX4y08/PWgxmTi6rW0CnGnJi1VOI6xFvwvgnXfeQaPRcOnSpS7rdu3650BbVVVVrF69Gj8/P3x8fEhOTiY/P988qYW4ZtJtc5iW1PaG9vkf/4eqKyUqJ7JeB7/4CoCgyHCGjx+nchphDfRqBxCirxISEvD39+/4byd3N2b+4hEArhacYWhTK8nJyd1uGxsbi/vwwEHJaa3OH8+m7NwFho4JZkbyElJffk3tSEJlUgDCZvj7+zNzyUJqDG3DOvhMjcLZcwitRhPGc5eJnB1/w23DoydTbuh6caKjOZy6lcWP/5ipSYtIe+Uvdj0xjuidFICwKTUGA3sOZRE0IYJZQW0jXB76cjtFR4/3uN2EsPGDEc/qHUrdxuLHf4xP4DDCYqdRsP+g2pGEimRCGGFzXNzdmX7td//igtO9vvmLf6q4eKljtjAZIVRIAQibMy1pES4e7jQ3NnYc2BR9177PohfMw8lVhoZwZFIAwqa4jgxk1MRIAI5+tYNGQ63KiWzPsW1fYzIacfXwYNKtMjSEI5MCEDbDeYgH3pPahhO/fKqAc8dPqpzINtVX15D77XeA/Azk6KQAhM0IX7YUrbMTzQ0NHErdqnYcm9a+/8ITZjLE31flNEItUgDCJkxLXszQqLZP/4e/TKextk7lRLYtZ9de6mtq0On1TF2yUO04QiVSAMLqeQ0N4O6nnwKgsbiUCydzVE5k+1qMRo5t+waQn4EcmRSAsHopz6zF3cuL5rp6qk/IcOLm0v4zUHDUBIaFjFE5jVCDFICwajGL5xM1LxGAgs+30drcrHIi+1F05DgVFy8DMP0OmS7SEUkBCKvl5uXJsv98EoDsnXsoPS4//ZiToigcTtsGtF1bodFoVE4kBpsUgLBaSU/+tG2Y57o6/u+3f1A7jl1q/xnIb+QIQqZPUTmNGGxSAMIqhc6YSkLKMgC++p+/UlVSqnIi+1RWdJ7zJ9q+Wc1IloPBjkYKQFgdvbMz916b4evc8Wz2fviJyons26HUtqEhJi+6Db2LDA3hSKQAhNWZ/6NVDAsZQ4vRxD9+84IMWWxhR77aQYvRhJvnEKLnz1U7jhhEUgDCqgSGjuW2H60CIGPj+xTnn1Y5kf2rq6wie+duAGbe3f2EOsI+SQEIq7L8V79E7+RE+fmLpP/1bbXjOIwDW1IBCI+PxS9ohMppxGCRAhBWI2bxfMJipwHwyW//gKmpSeVEjuPUd/upLikDIPauJJXTiMEiM4KJQXX9vL7ttE5OxD31EwDKsk8R7j+M8Ovm95V5fftnTFAQnrGxfb5/VU4+3oFDmfP9FJwulFBRXk5mZqYFEwq1SQGIQXX9vL7thoSH4urjjdLSglJS3u38vjKvb/+4u7njETMJg7OuT/fXKW0Xgrn6eJOwYjmZH8jZV/ZOCkAMuvZ5fdt5+HizeEnb2Se5e/eRvXt3t9vJvL79V9fQ0Glf92Ze6CiGjh2NEiBDRDsCOQYgVBezeD46vZ766mrydstPDmo6e6RtfmXXwKHo3d1UTiMsTQpAqCpwXAhBkeEAHNueQYvJpHIix3Yx9xTGpiY0Oi2BMVFqxxEWJgUgVKPRapmyZAEApWfPcTEnT+VEosVo5Py1+RZGzJCxgeydFIBQzbjYaXgF+KO0tnJk6w6144hriq79DOQ5MpCgCeEqpxGWJAUgVOHk4sLEObMAOH3oKDWlZSonEu2uXirGWFMLQNzyO1VOIyxJCkCoIiIxHhd3d4xNTeTs2qN2HHGdhgttE8VMu30Rzm6uKqcRliIFIAad1tWF8LgZAJz67gBNdfUqJxLXq794pW2AOC9PpiUtVjuOsBApADHoPMND0Tk50VhbS37mAbXjiG4oRiOlx7IBmL3iHpXTCEuRAhCDyiNwKG7BbYONZe/cQ4vRqHIicSOX9h0CYGTEeEKmTlY5jbAEKQAxqMYtuQ2NRkNNeQVnDx9TO47ogeFSMeeOy7cAeyYFIAbNuNhp+EeGAXBix04URVE5kehN+2xskxfehmdA10H8hG2TAhCDQqPRkPzU4wA0X63i8qkClROJvji27Wtqr1aic9ITn3KX2nGEmUkBiEERvWAeoydNBKAmt1DlNKKvTM3NHNjyBQAJKcvQ6vs2sqiwDVIAwuI0Wi2LH/8xAGU5+Rgrq1VOJPrju81baG1txTtwKJNunaN2HGFGMhy0sLipSxcwfFwIAGfTdxE8LlTlRKI3108mczWvkICJ4dz5+COMdvHodfuKigqZTMYGSAEIi9LqdSx67EcAHN26g7orpSAFYPWun0xGY6gDwHfcWCYtno+ptu6G23p5enJga/qg5BQ3RwpAWNSMO25n6JhgWlta2Pbn/2VmVLTakUQfXT+ZzJKwMXj6+1Ht4cyRXTtvuF3i9L5PQynUJccAhMXonJxY+OgPADiUuo3Ss+dUTiRuRmHWYQDGTonGyVXGB7IHUgDCYuKW34HfyBG0GE2kv/6W2nHETSo6chxjYyN6JyfGzZiqdhxhBlIAwiL0Li4seORhAA58lkrFxUvqBhI3zdTczJlrV2+HzZyOVienhNo6OQYg+i0hIQF//56vCg1OnIn3sKG0mkwohRdITk4GIDY2FvfhgYMRU1hAwf6DjI+bgZvnEIInTeDcsZNqRxI3QQpA9Ju/vz8zlyykxmDo9naNTsfQ29ome2m4UEzItQvAAMKjJ1NuqBmUnML8GmoMXMjOY8zkKMITZkoB2DgpADEgNQZDpzNE/lVkYjzDXZwxGY1883+f0vgvpwxOCBs/WBGFheTvO8CYyVH4BA5jWMgYObhvw+QYgDArJxcXImbFA3A663CnN39hH6qKSygtOg9AeMJMldOImyEFIMxqfEIszm6uGJuayNu7T+04wkLaJ/IZMX4cXkMDVE4jBkoKQJiNs5sr4fFtFwEV7D9Ic32DyomEpRTnF2KouArA+Hi58MtWSQEIs4mYFYeTiwvNDY3kfydTPdq7/H1tx4DGTI7CxcNd5TRiIKQAhFm4eHgQ1j7Re+Z+jE1NKicSlnbu6Ama6uvR6fWEzZyudhwxAFIAwiwiE+PROznRVF9P4f5DascRg6DFZOJ01hEAwmKnoXNyUjmR6C8pAHHT3Dw9O4YGyNuzD1Nzs8qJxGApPHCIFqMRZzc3mTjeBkkBiJs2YU4COr2eBkMtp68NGCYcQ1N9PWePngDaTgnVaOUtxZb0+X+tFStWcPLkSerr68nJyeHBBx/s8f4PPPAAiqJ0WTZs2HDToYX18PDxJmRqDAB5ezJpMZlUTiQGW37mAZTWVjx8vAmOilQ7juiHPl0JnJKSwvvvv88rr7zC1q1bWbZsGe+++y719fV88skn3W4TExNDQUFBl6K4cuXKzacWVmPivFvQ6nTUVVVz5tBRteMIFdRVVnEx5xTBkyYQMSuehoMn1I4k+qhPBfDCCy+wefNmnnrqKQC2b9+On58fzz33XI8FcOjQIfbv32++tMKqeA0NYMzkKABydu2ltaVF5URCLae+20/wpAn4DB9Gy1A/teOIPur1J6CQkBDCwsK6vNF//PHHTJgwgbFjx3a7XUxMDMePHzdLSGGdoubdgkajwVBewblj8qnPkVUWX6HkTBEAQ8aNUTeM6LNeCyAysu03vVOnTnVaX1hYCEBERESXbYYPH05gYCBTp04lNzeX5uZm8vLyWLlyZbePUVlZ2ePi7e3d7ycmLEvv7cmoiW3/22fv3IOiKConEmo7dW3oD5cAPzxHjVA5jeiLXgug/c23pqbzEL6Ga0MBe3l5ddkmJqbtoGBoaChr1qwhKSmJrKws3nvvPR5++OGbzSysgGdE28TuVVdKuZCdq3IaYQ1KzhRRdaUEgNG3xKucRvRFr8cANBoNQJdPeO3rW1tbu2xz8OBBkpOT2bVrF7W1tQCkp6cTGBjIc889x8aNGzvd39fXt8cMlZWVvcUUg8h7bDCuw9oGADuZ8a3KaYQ1ydu7n/h77mTopEj8g0dRceGi2pFED3r9BlBdXQ10/aTv6enZ6fZ/VVFRQVpaWsebf7u0tDRGjRrV62xSwrqFLpoHQMXFSxTnF6obRliVi9m5mOob0Gi1zF21Qu04ohe9FkD7b/9hYWGd1rf/9/XHBgDi4+NZvXp1l/Vubm4YjcZuS0PYhohZcfiEjAbgxNfy6V90pigKdWfa5gqYuSyZIX49f7sX6uq1AE6fPs2ZM2dISUnptP6ee+4hPz+fCxcudNkmISGBN998k+jo6I51Go2GlJQU9u7di0kuFrJZS//tJwA0lV+lrEhmghJdNVy4jLG+HidXFxLvv1ftOKIHfboSeN26dTzwwANs2LCBxYsX89prr3Hffffx3//93wAEBAQQFxfX8bPQ22+/TVFREVu2bGHFihUkJSWRmprKpEmTWLt2reWejbCo6PlzCY6aAIAh77TKaYS1UlpauZjZNiDg7BX34OzmpnIicSN9KoB33nmHn/zkJyxevJhPP/2UefPm8eCDD7J582YAkpKS2LdvH9OmTQOgqqqKuXPncuDAAV5++WU2b97MkCFDmD9/PgcOyDjxtkij1bLkibZP/+W5BRirZGJ3cWOXMg/S3NCIu7cXccvvUDuOuIE+Twr/t7/9jb/97W/d3vbOO+/wzjvvdFp3/vx57r///ptLJ6zGtNsXMXxcCABntu8keFyoyomENTPW1XPg01QSv5/CnFUr2PvRJ7Sa5EpxayND94le6fR6Fv30hwAc+SqduiulKicStmDXux/Q2tKC38gRTFmyQO04ohtSAKJXs+5bTkDwKFpMJrb9+X/VjiNsxNWLlzm2/RsAbv1B96MACHVJAYgeuXoOYeGjbaf07vv4M8qKzqucSNiSnRvfB2BkeBgRs+XqYGsjBSB6NP+HD+Lh401jXR3bX39T7TjCxlzMOdUxefytP3hA5TTielIA4oZ8hgdyy8r7AMh4+31qK2RIDtF/GW+9B8D4uBkdpxEL6yAFIG5oyc8ewcnFherSMr599wO14wgblZ+ZxaXcfABuXS3HAqyJFIDo1siI8Uy/YwkA2157g+aGRpUTCVuW8fYmAKIXzMM/eJTKaUS7Pl8HIBxL8lOPo9VquVJ4hqzPvlQ7jrAhY4KC8IyN7bROo9XQcLUKNz8fHnrmP8n/bOsNt6+oqCAzM9PSMQVSAKIbEbPiiJgVB0DqS6/JVI+iX9zd3PGImYTBWddpffPlEtz8fBgZOwV9TT2tzc1dtvXy9OTA1vTBiurwpABEJ1qdjjv+4wkACg8cInf3dyonEraorqGBPYeyOq3THT9KUmgwLu7uXHXTcTIzq8t2idNju6wTliMF4KASEhK6nZchKGEGI8aPQ2lVqNx/lOTk5C73iY2NxX144GDEFHakxWikYP8hJt16C2Gx08jbux9TU5PasRyaFICD8vf3Z+aShdRcm9oTQOvsxNB5CQDUX7jMqJCxEDK2y7bh0ZMpN8hgcKL/Cg8cImLWTJxcXQmLnUrenn1qR3JoUgAOrMZg6PQ1fVrSYgKdnWhuaGTH5o9prm/odrsJYeMHK6KwM8bGRs4cOkrErDjGx8dSsO8gLTI/iGrkNFABtF30FTp9CgDZO3ff8M1fiJuVn3mAFpMJVw8PQqbFqB3HoUkBCACmLl2ARqOhurSM01mH1Y4j7FhjbR1FR48DEDFrJhqtvA2pRfa8IHjSRAJGBwNw5KsdKIqiciJh707t3U9rayvu3t6MmRyldhyHJQXg4HROTsQsvBWAC9l5Ms+vGBR1VdVcOJkD0DZKqEajciLHJAXg4CbOne6HDYYAABKtSURBVI2blyctRiPH079RO45wIO1nAHkF+BMUGa5yGsckBeDA9F6eRCTMBCB3zz7qq+XUTjF4asrKuZTXNkjchFsSVE7jmKQAHJRGq8UnZgIarZbq0jLy9sjYK2Lwtb/ufEcMZ8T4cSqncTxSAA4qODEOJ29PFEXh4BdfobS2qh1JOKCrl4q5cvosAFG33qJyGscjBeCAAkaPYuyCtn9shQcOcfXiZZUTCUeWnfEt0PYtwHX4UJXTOBYpAAd077P/ic7JCVN9Aye/+VbtOMLBXb1UzOVThQAMCQ+VM4IGkRSAg4lbfgdhM6cDUHPiFKZuhuQVYrBl79wNgJPXEIZNlmkjB4sUgAPxGhrAHf/eNtTzlaMnaSqrUDmREG2qrpRwMScPgJD5c9DqdL1sIcxBCsCB3Lfu/+Hm5UldZRWFqTLphrAu2Tv3oCgK7kP9mZ68WO04DkEKwEHM/n4KkYnxAHz83HqMdfUqJxKis5qychovlwCw8NHV6PQyWLGlSQE4gGEhY7jjqZ8BkPVZGsfTM1ROJET3DPlnaG1pxX9UELF3d52MSJiXFICd07u4sHL9OpxcXai4eJktL7ykdiQhbqilroGSIycAWPiTH6B3cVE5kX2TArBzd635OUGR4bSYTHzwX7+hSX76EVau6OvdmJqb8QkcxtxVK9SOY9ekAOzY1KULmfW9uwHY+urfOHvkuMqJhOhdY1U1uzdtBmD+j1bhGdB17mphHlIAdipwXAgpz64FIHdPJhlvbVI5kRB9t+ONjdRercTF3Z2lT/xE7Th2SwrADrl5ebH6f9bj6uFB1ZUSPvivdTLJi7ApjbV1bH3tDQBilyXJcNEWIgVgZ7Q6HQ/+YR0Bo0dhbGzi7Z//J3WVVWrHEqLf9n/yOcUFp9FqtSz/1X+gkSEizE4KwM7ctebnRMyKA2Dzr3/XcXWlELamtaWFLb97EYCxMdHE3XOnyonsjxSAHZn30P0k3n8vAN+89R6H07arnEiIm3P64BGyPvsSgKQnf8oQP1+VE9kXudTOhiUkJODv33aGxLDJE4n6ftsZPyXHc9AUnic5+cYX0sTGxuI+PHBQcgpxM1JfepWoeYm4e3tx5y//jb8//Ru1I9kNKQAb5u/vz8wlC2lyc8F3RjQATRWVtF4sIXJWfI/bhkdPptwgU0AK61d7tZLUl1/je79+munJSzieniHDmJuJFICNa3RxwmdaFBqtlqorpex8532MjU29bjchbPwgpBPCPPZ/8jkxi24jYlYcKc+spejoCWqvVqody+bJMQAb5hsWgl/sZHR6PTVl5Xz73od9evMXwhZ99MzzNNQY8PT3I+WZtWrHsQtSADZq0m1zmPzQ99DodNRerWTXux/SVC/DPAj7VV1S1jGWVfT8ucy6b7nKiWyfFIANmn7HUla9+DxavR6joY6Mje/TWFurdiwhLO5Q6laOfNU2l8Vda39B8KSJKieybVIANmbRYz/k/t89g06vx3CpmKuZh2g0yJu/cBz/+PXvKTlThN7JiYdeeh4PH2+1I9ksKQAboXdx4fu/e4bFP/0RAPmZBzjyxvu0NhtVTibE4Gqqr+edJ5+mqb4e3xHDeehPL6B3dlY7lk2Ss4BU9q/n8t+Iq483k1am4Bk0HIDLWUe5nPo1M6ZPl3P5hV0ZExSEZ2xsn+5bsOUrJj1wD+OmT+XfN75O9gdbqCgvJzMz08Ip7YcUgMraz+WvMRi6vd1lmD8+U6LQOjuhKAqG3EI0JRVEJMyUc/mF3XF3c8cjZhIG575NCl+TU4DXxPEMi56Ar58fe179XwsntC9SAFagxmBgz6GsTuu0ej0xC29lxMwpADTW1bHv488pKzrXcR85l1/Yo7qGhi7/Hm7oUBYxi24jPGEmTkGBjL9zMZq0NBn9to/kGIAV8gsaycJHHiZs5nQASovOs+OvGzu9+Qsh2hzb/g1njxwDYFTCDL637r/Q6vr2DcLRyTcAK6JzciLq1lsIj49Fo9HQ2tpKdsZu8vbuA/lEI8QNHfz8K4b5+OEREszMZcl4DxvKe798hoYa+Ym0J/INwEqMmhjJkp/9mIiEmWg0GqqulPD1G++QtydT3vyF6IOa7HyKvtkDQMSsOJ786C1GRsjPpD2RAlCZ56iR+CVMI+HeZbh7edFiNHLym2/Z8cY7VF0pUTueEDblbPouNq15huaGRvxHBfHzD95kwU9+gFYvPwl1R34CUsnwsFAWPfZDYhbd1rHuUl4BR7ftoL6qWsVkQti2I1+lU3r2HA/+4TmGjh3N0p89wuQF8/jijxso2H9Q7XhWRQpgkAVHTeDW1Ss7vfEbqw1893kapWeK1AsmhB25lJfPi/euYsnPHmHOgysIigzn0f/dQN6efaT/9W2Kjh5XO6JVkAIYBDonJybdNofE76cQOn1Kx/rSs+coP3AEXw9PefMXwsyMjU188ccNHNv2NXf8+xOETp9CZGI8kYnxnD+Rw54PPubk17scehDFPh8DWLFiBSdPnqS+vp6cnBwefPDBHu/v4eHBq6++SnFxMQaDgbS0NMLCwm46sC0ZHT2RO9f8nGe//pxVf/xtx5v/pbx8Nq15hvXL7qfkaLbKKYWwb+dP5PDaw4/x1hO/5EJ2LtD2b/P+3z3Dr3emsXL9OqYlLcLd20vlpIOvT98AUlJSeP/993nllVfYunUry5Yt491336W+vp5PPvmk220++ugjYmNj+eUvf4nBYODZZ58lIyODqKgoauz01Cy9iwvjZkwlMjGeqHm34D9qZMdtLSYTubu/49v3PuJ01mEVUwphn/oyjEThpv+jbMwoRs2KxX9COM5urkxdupCpSxeitLZSXHCac8ezOX88m3PHT1J69pxdX1TWpwJ44YUX2Lx5M0899RQA27dvx8/Pj+eee67bApg9ezZJSUksWbKEbdu2AbB7927Onj3Lo48+yvr16834FNShd3ZmWMgYhoeFMDJ8PGOnTiZ40gT0Tk6d7ldccJojX6aT9VkaNWXlKqUVwv71ZxiJlvPFlF0uw3XEUFyHD8MlwBeNTsfIiPGMjBhPwr3LAGisraPkTBGlZ89RVnSe0qJzlJ27QNWVErsYhbfXAggJCSEsLIynn3660/qPP/6Y++67j7Fjx1JUVNTptkWLFlFTU0N6enrHuvLycnbt2sXtt99utQWg0+txdnfH1cMdl2uLu7c33sMC8Arwx3NoAN5DAxg6djQBo0d1e7Vha2sr509kk7dnH8fTMyg5fVaFZyKEY+rXMBL/IjE2jpLiYoobahkzOYox0VF4+PrgOsSj7b8nR3XZpqm+nuqSMqpKSjGUV1BfXUNDjYH66pq2pcZAQ3UNDbW1GJuaMDU1Y2xqwtjUTEtzs1V8s9AAPaZYunQpX375JZMnT+bEiRMd66dMmcKRI0c6fcpv99FHHxEWFsb06dM7rf/Tn/7Efffdx4gRIzqtr6zseW5Pb++28b6rq/t/eqRGo8HJzRWNRgNo0EDbs/7nPTr9v35TFFpbW2ltaelYet6jnen1evROTgN6Meh0OhQUWltaZVvZ1moe2xa31Wg0mIxGTCZTp3VanQ6NVotGq0Wr1aLRakAz0DeL6ygd/6fTOqXzHQBobWkZ0HSv3t7eKIqC7gZDY/T6DaD9zff63+0N10av9PLqeuDE29u729/5DQZDt/fvi4G2ZfvjDaQ8BoPJZOr0orMGN1O4jkj2V//Zwj5TFIUWK/q3OZB9plz7gHojvRaA5lrbXf8G3L6+uz+u0Wi6fcNuH9/mer6+vr3FGLD2bxeWfAx7I/usf2R/9Z/ss/6zxD7r9TTQ9ra5/pO7p6dnp9uv36a7T/qenp5W3fhCCOFIei2AU6dOAXQ5h7/9v9tvv36b0NDQLuvDwsK6vb8QQojB12sBnD59mjNnzpCSktJp/T333EN+fj4XLlzoss327dvx9fVlwYIFHesCAgKYM2cOO3bsMENsIYQQ5qD0tjz00EOKoijKhg0blMWLFyuvvfaaoiiK8r3vfU8BlICAACUuLk7x9PTs2Oabb75RysvLldWrVyvLli1Tjh49qly4cEHx8fHp9fHMuVRWViqVlZWD+pi2vsg+k/0l+8z6Fgvts77d8ZFHHlHy8/OVhoYGJTs7W1m5cmXHbe0FMXfu3I51Pj4+yltvvaVcvXpVqaqqUlJTU5Xw8HB72Wl2vcg+k/0l+8z6Fkvss16vA7B1crZB/8k+6x/ZX/0n+6z/VDkLSAghhH2y+28AQgghuiffAIQQwkFJAQghhIOSAhBCCAdl1wXwhz/8odOQ1D2ZPn06GRkZGAwGLl26xPPPP49eb/8zZg505rb09HQURemyXD8CrL2QGfH6p7/764EHHuj29bRhw4ZBSmw9YmJiaG5uJigoqMf7mes1pvr5rZZYHn/8cUVRFCU9Pb3X+44bN06pqqpSvvzyS2Xp0qXKU089pTQ0NCgbNmxQ/XlYeklNTVVKSkqUVatWKXfffXfHBXteXl49bldaWqq8/PLLSlxcXKfF3d1d9edk7iUlJUVpaWlRXnrpJWXRokXKn//8Z0VRFOWee+4x+361h2Ug+2v9+vVKfn5+l9fTmDFjVH8+g7mEh4crFy5cUBRFUYKCgnq8r5leY+o/aXMuI0eOVDZt2qSYTCalsrKyTwXwxhtvKOfOnVOcnJw61j366KOK0WhURo4cqfpzstQye/ZsRVEUZfHixR3rAgICFIPBoKxZs+aG240YMaLLdva8FBQUKB988EGndR9++KGSk5Nj1v1qL0t/9xegbNu2rcs2jrTodDrlscceU6qrq5Xy8vJeC8CMrzH1n7w5l7ffflvJyclR5s2bp2RkZPSpAM6dO6e8+uqrndYFBAQoiqIoDz/8sOrPyVLLb37zG6W6ulrRarWd1qempio7d+684XZLly5VFEVRRowYofpzsPQSEhKiKIqipKSkdFqfkpKiKIqijB071mz71R6WgewvQLly5Yry9NNPq55frWXu3LmKwWBQnnnmGeWHP/xhrwVgrteY3R0DWL9+PVFRUezcubNP93dzc2P06NFdRiktLy+nurqaiIgIC6S0DpGRkRQWFnaZo6GwsLDH5x0TE0NjYyPr1q2jrKyMhoYG0tLSGD9+vKUjD7rIyEig66i3hYWFAN3up4HuV3swkP01fPhwAgMDmTp1Krm5uTQ3N5OXl8fKlSstH9hK5ObmEhoayrp16/o0QZS5XmM2c5RTp9OxYsWKG95eUlLCjh07yM3N7dffvdGMZ3BzM5iprS/7a6Azt8XExODq6kpDQwPLly8nODiYZ599lt27dxMTE0NJSYlZnoM1sJYZ8WzFQPZXTEwMAKGhoaxZs4bGxkZWrVrFe++9h16vZ+PGjZYNbQVKS0v7dX9zvcZspgBcXV3ZtGnTDW/fuXPngIaavtGMZ+239TSdmjXry/5qvsHE1L0979/+9rf89a9/7fQtKzMzk9zcXJ544gl+9atf3VR2azIYM+LZk4Hsr4MHD5KcnMyuXbuora0F2s4yCwwM5LnnnnOIAugvc73GbKYA6urqOl5E5tTeot215pAhQ2x2BrO+7K/Nmzd3O3FPbzO3ZWdnd1l39uxZcnNzOz7N2YuBzog3kP1qDwayvyoqKkhLS+uyPi0tjYULF+Lv709FRYUF0touc73G7O4YQH/V1dVx8eLFLufPDh06FG9vb7uewWygM7etXLmSxMTELuvd3NwoLy83a0a1yYx4/TOQ/RUfH8/q1au7rHdzc8NoNNp9aQ6EOV9jqh8Bt9TS17OA3nzzTeX06dPdngYaHBys+vOw1HLLLbcoiqIoCxYs6FjXfipZT2dkHDt2TMnKylI0Gk3HuqlTpyomk0l56KGHVH9e5l5Onz6tbNq0qdO6Dz/8UDl16pRZ96u9LP3dX08++aSiKIoSHR3dsU6j0SgHDx5UMjIyVH8+g720z6/S01lAZnyNqf+ELbXcqAAmTJigTJkypeO/IyIilPr6eiU9PV1JSkpSnnzySaWhoUF57bXXVH8Oll76MnPb9fvr7rvvVhRFUf7+978rCxYsUFavXq1cvnxZycrK6nJamj0stjwjni3sLx8fH+Xs2bNKYWGhsmLFCiUpKUlJS0tTGhsblZkzZ6r+fNTaf/9aABZ8jan/hC213KgAMjIylLNnz3Zal5iYqGRmZioNDQ3KhQsXlOeff17R6/WqPwdLL32Zua27/XXnnXcq+/fvVwwGg1JSUqK8/vrriq+vr+rPx1KLrc6IZyv7a/To0crf//53pbi4WKmrq1N27dqlzJ49W/XnocbSXQFY6jUm8wEIIYSDcviDwEII4aikAIQQwkFJAQghhIOSAhBCCAclBSCEEA5KCkAIIRyUFIAQQjgoKQAhhHBQUgBCCOGg/j+IX8IlBwEpnAAAAABJRU5ErkJggg==\n"
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nF93WTZqYrNR",
        "colab_type": "code",
        "outputId": "54e89ac0-1675-44b6-cc1e-bdf5bcafff69",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        }
      },
      "source": [
        "sns.heatmap(np.abs(weight_layer1))\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xwc7w3dA3sIG",
        "colab_type": "code",
        "outputId": "1419767a-191f-408a-9ffc-0c454102282d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 640
        }
      },
      "source": [
        "nrows = 6\n",
        "ncols = 8\n",
        "fig = plt.figure(figsize=(1.5*ncols, 1.5*nrows))\n",
        "\n",
        "for i in np.arange(48): \n",
        "    ax1 = fig.add_subplot(nrows, ncols, i+1)\n",
        "    sns.heatmap(np.abs((weight_layer0[i, 0:784]).reshape(28, 28)), ax = ax1, cbar=False)\n",
        "    ax1.axis('off')\n",
        "    ax1.set_xticklabels([])\n",
        "    ax1.set_yticklabels([])\n",
        "    ax1.set_title(i)\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x648 with 48 Axes>"
            ],
            "image/png": 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tKep7stW4hnbLt6A9G1Ko36KGLYb6/bRkpF4O0bpke7ReLx/hwjpmawL17mPD+PmoGXXtkgN/YDcb57hl1QskUyjM7aeXc6ywb54veU7Ns2JcbQ5grvA50Ec2Wpc3ROHL/E7YKq+TRUQs5Fm91O6rWyv1Ms/1yRT6aWge1jTs50qc+Xq5Ooo2b45iHjyyoK9e3hfDOGlvj2YTfGRdCOue3r7yDj9T1WKcAxhfKeXdJR9G6iDD3E1OqVtusV6O0yDKoYZjB9VADyJuG97DC/NwAg8lIsaFGE9gfnoIakvAkVjM6EA/OcAwTUL84OMlh8uvO8kh8f1r7ZqM68fGxL8XSWFSrm3FIj8TsNn3T+Tnlh6pvzY/uNXwHp6cxhUN0ssOGtBr2pC8q28OJtxWclD8oJtrRv8dQw80TwdX6+X+5CRXtOzQy8f7UYf3alca6jqhqGPnWB+DsfODQYza9nAPBmCC+iVKznRO3VrUoxgT+OdNxoVhMLxTMoWSvAF6uZUe7HLtsL002VWxExsCe9rgvK1mLCDYzvnhV0SkJYoHThM5jMH0oMuLkZak8QH1AKpCjXqZx1tNGH2RojFpMXe8AG8PdqBO2mzgh7HGOHxFLf2el9qssZ2df1cMKt4/hrbSJo6IcbOAHTD7CO6DIXlsh2ifalpsHcpHdnNhYbKLJpEQLZb652ISFxEpoYer2Q3YhIglMTbGFOPhqj6BxWAXOyanpc3b9HJPLx429oUb9LKZ7pP9JddvUulhhvrN2DNDMoXhJaP1chc7xklUw0Lh8wb42J8XH66X32/EZtAr7iMM33tpAose3kQoILv/XycegB+yYB6sieP9uVbYJ489jxlz3DkmPPivtKANF0bggy9xYEEgInKcoM9+FcNv96bNrgsTeIjlR6kFDtjg+hTmgj8lvMIYWztNMgW/F/Xnzax8J2y11IV5Y1sAD208xnlOZR/J48dJ89JW+p6BPmzUbWgxJqfkemg0vvnhKkFrGl5M8kLYS/1dFYW/5LUKbyAFEvC1vD6ppwWqiNFHBmkTprltm2QSBxbeh1pcR9LwIW5qcxGRJPk2Xhs4Taj72gA2RnjN1xJDO5xViHG1NALf2502kz6uwbqC/W5v2pTJow1RfoASESm3oa2nVy/Xy8eVYA2wohVrFBv1cQP5g0EF8O3s81PtNlfX1H4hmcIRZeP08pYA2ofnAd7oWN68XS+X5qANeZ5pjMCfdPNizsm30cYlbRq0/3xXF/xOUwIPMjw2trVgLHLggdcxPLca1uXkAxi8yTHY283wv5UtWLPx+ItT4MZFzxpftcZTtDoFBQUFBQUFBQUFBQX5Glodh6U4FF5IFAuPlXc/O6YIuegpn+kf/GSXoPAgvy5ipNdsbkGIkHeTeTeTd+M5qsDRE97h5l2t4UTLCqfwFMuRH6bwiRw62sS7Cu3vKZPwfHm/LooEFDryDO9x0+5WsQV9GaTwMkd5hlix21BnwY5wfRo7Bz7aCX0rhh2XPAqv76Gdcg7pftq0EXWzOWVILiIai4m2xGHj0f7+ernMgt2NFg3tvyiIepQR/Yr78qqysXp5a7pjGlimwbtKbOvd3Yi87g5hzOwIgC7Eu5o8FiqD2D1uH20dkG/cUTmAZtq1ZFrKuGJE8j6rQ6iZKSNW2hEqoF1X9hO8O2SmvWveQRcRiVJEI5doYK1JjEXeIeLxXeiEbTcaN7a+M6Jf/mY3b7H0dqFvtoZBOemdg4jKzgiiehwptpo63nfiHeC4BXbQLQc7d9tD+C32IRwpXNdipKkVEOVuQB52E/dGEPHZRXVlf8Z21J8+u5nonMPye+plG+2pbQiC9teL6F2rg5mj0bXHdRbUJSeBsTElskIv/70QO6031X+O9xQfo5cvbDLSm68sQCTpyRR2lnl3n+OiHC2a5sG9f56EfT4axy7/ODv8a4I2mV3Unr+3IdrypzbslIuI/I3mGaZ2V5KN7HQgktZogj/7RRz9bafd/6jp+8sB337MHwCP9z0h2GQhUc947DfFsCvNfmMARYVaaOe63O2n1+HvmPYvImKj+XKwB3b/cS3andcD7aPzBxCk3fQe5DNWN2NXOkL15u+pjGPs8TpJxLizbz5EW2YCbV9GfNmmasNYK3EEeUcbfJOISCsxFM4rO0ovM23t8Dy04a4Y/FHIDH85N4hxwv1dQtEejvBwND5ItNfTrBiHIiLrTeibwRrWQF/QGpZ9O0e2TvfCp4Z88NWrKWpb2YYyr2EyDbbjPDvWb7VEMfNRxIfXA8z+6JsLH1TL8zZRgbe1IdrD85WIyFF+0Ps2tmF+4CgSR255TohRBJKjhjymOZpb24Z7s9MRgJIcMB2YASFiPE6QQxHg3WGsrXhduFxFjhQ6M75Pp6Kg8G3AD0YKCgoKCj8s8IORgsJ/CvVwpKCgoKCgoKCgoKCgIF9Dq2MqSxsdtu2TR6E5UlhhUQQOqbtJwY2pIfydTLnKdxgPiTbRoTAOe/JhND4AuIBoQV38CPflF+B7WTVlqL9CL/uJcuag7+RDy0va0eo4FNgQxv98TtzTf4OytTyG8PBPHEZa1QNV8/UyK7LwAdfaBOq+oB5tyLSuKeXj9fK7IajB9Hch9L6wGa+X0WFAPljLh17bH5zk0CirCO2Lw9ZWRhAObU8pOwDuC7bZHWmE7Y82kVJKnvGQ+6qo8QDvd0EZHTxmClWcVK5YnaUrHZAMxBGCZjpU7iFUI9u/j2kc+UR59Bf20cs7IqAH9KRQeKkd9ANWpGElpe656C8+bMxg+q2IUZSC684UVz/RbFjtkQ95ZhptXyrZpJzG9jQTBYf7bC+JZbCa2Kok7JPVM30O+ApWzWGxkXF5oC40kSDJ/DoILZR4YLciIm1EGz3eATueQ33vo8PK69tAh+MDu2sbUe8RZB87Qx3TPI/2gQa2NoTvZNpEpnF5/Ry9/FYB/NHdbggvvGmCr2DahldDe4wiuo+IyOgI+nxpbi+9zOqEMwsR5baE8V3ROOaKGivap4joKuOjeP9lkaV6+RkXVLQaiLfXntLCB/Qvy8UB9sI07O7OFlAFn6TvPS0MsYmrC0bp5VejHasTZgI8lj2HEFgozwEFjn1HI/luL/m5Y4ugcLYpjDmcqe0RmsdYdfLiclAqRUQ+D8O/n6JhPLUWgr49ygY/vIaELGLkA1iQYXMQVCNWMLQRBT1E6yQ+9O9sR6vj+YAPkWcayS9p3iziczwpxm2IYF3R04N5XkREc8PWc2m9VJ1C3Vkc5TUfKO3nxqHm9nbOML1cWAC7uTuBtm1Jo4/P0TAfdKN2vrgVdNjebiPF7r0AxFj6eLEeWNtcqZeZuj+tBcJN1+dhLL1KCqJMYS62Ym7NNFjRlf0AU0U9ZIelND8UkBgIq5+yAunKJgg48Frc2k5giSmMTJtnPzegCGI8TdRnvH6zkq2UO1DXvVHQLscXwwbXEE27hKjDdTGjiEkTCaIwHZQFvPZFGuWbQEWOFBQUFBQUFBQUFBQURD0cKSgoKCgoKCgoKCgoiMjX5DmqKECok2k6rLxSQDQRppvwe1h5prsHB523t4Iew1SNApeRVnco1RbWR2ctFyuFHTkHC1P9euYi5Mb1rqbEe2Vu0E38FJpc1YAQpIgxwRTT51rjrLKDNsh0EjdvTs+DfvvcEmMOj4+aiZLjQhjzBCc0+/dpCJkWmRDG75+CUsgKC6gexUKJdIW059OgUH0mCHtujYGCxFSEnlaESUVEZjQinP2CBxSQecTMilOCw8eqPtPLvyfa378D+B6mqLDaC9MxKtygh4mILK/5TDKFnn7QYDgfGCuyMFhNkUPbnKCVEygmyYZFjFQ1Vmdhqiwr4NjoN1i9jJX1JlJOqBUBqAJyoreJlL/q8xbQK3kMi4gU5oAyx0ngOIcY23OUaGOcRHFD3RLJJHr5R4iISHPMWN8jfKBgLWwEFYlpO+yPRuRW6OUvmtAOTIngnE41lGD3Mt8I/FYKNIPeFrTZuoSRGsAqf5x75JQc1PvFZuQTY1tvIj/FFIetIfjnwR7QdFmBsgu9nxP77Wsz1i8RN+aN+i6YXnK+Xv6HjepCCpasqllggr3sTYGesjtqrOM5HuQiu59oyMP8UMcrsWIe4GTVT7XB13yQB+rd39Pwox804T19PJgzOFnr6Ta081Yx0urerkf/XV18tF6eHobSF+coGU6UsBYN8/GsZlCmD29HLfx470eSKRTngqLUn5LqMjVnRxslLqc5kv0A01XLKdkrq1Fd5AQFlJFPjO0eCaOPXOiEz5uVBHXsfDMl7E7gCy6LIuk5U6MLLaAhTTSjfo9Svr8TqC3mUG42TvTbNw9tJGJMpMx5IDOdJ9Hn3m8DvA5iShKv/eojoP+KiESI0n5j+QS9PD+BOeRhoputSVKuISvG4hgNr18yEX2xez78660p2MTfbCjHkzR3xWD/fxKjYuaLpHLWFMb6o0mwvnnSBj9clcDahVWSee5i9WVWtRQRWV+3WDKF0ryBHb7elZLQVhFdjHNWFVAOvI2kLsqqrztJHZcV6RbWG23t+BI8E+yl5L4jnLDd9aTmV0xqg3VEd2W1Qc5ldZygfHcL5vbLSEl0Zgx0WE5ML2I8YsHPGvw+zsO0hxL6toeKHCkoKCgoKCgoKCgoKMjXCDIc6lA3Z0I3aK6Tbnofiqb0oAzerHNfcIiMuSIi5U7swJyaj0OYBfSU/3gdMhDzru2pxTgQVpfE7nhPGyIUJRT1+CKBHRrODL2+GTsPVSY8lVvMFkN9uW22k8Y7H2yPWimTfIYVJn9etP+wYDMdfnul2rhrwYf3+zmw61WehgksTKL/BtuwE3AYPY1fehcOYCeX4oDj7e9jh6CUNugGU8TN78Lu18u1OJC8SkQuL8Fh2QfysCu6hczi8wR2nznXynA/Dk9voLxFwzzYwfWa0N/v1iIfCueWGOwwyjcvl8yBDyFzFJLzYqxqRjSGd6T4QDlHHrrQjouISExDw9dEsavDuW76uTEuD8tBH79bg7vt58MhU45CzK3HLksBiQyMzEf776ZDl0NzEZVsdRuNnrN5r6D75p2fcg/uj6NIubbv7+Ar54ToRzu5LM4ykPKrrGmCgEF/ajeOFvEO1lAHdmQrKKKxmgRfUrRr3pOiRb+E2xURv+yhQ95vO2H358XRN0spKsG7iYPs8AEbaWe+D/nIdUn4vxDlqKhwwp9/3oidRT7IW5STJwPcaL9P92UucrTRAafwKJUfjMMnXBfLpfej70aY4QdHWY2iFnensVNcPQGRiHnr0K+n/BE22fQcovFDdmGOOj8Ee57kqtDLc/iwdxr1+0cjfPXOQvRLY9rQ4fJY/hi9/GgcO8BPmPAbC8ifPR1EpOp/nNjxraFxOSVuzIf3sWQOAYrWc1SxVw6ilrx+SNtJ6MMLnxKkSHuxGTv+O2i+2mqC37irJ37ri42wwbDJLP3c6ONreiFieuPvztTL1pEn6mWN7mHnTkSOZBfGd+hVrEN+RRvRvIbZmuiYIcBCQZpoUh2G3+7mgS00RI0HzzOJA4JZQ13ol5YUItHMKmifi4nZOHdXzdPLzOBI03c50ujj5W3wLwk3fOqWeWi3rhrWe+Vm2IGvBCyU6XvQx6Xk7+6QHnL8ufCLlu7wvYsfwthaacX3tiXg5zY0oX4VefjsWHeFXt6dBMNgdaBSvi/wGiBKTCxmAHBf8Hty7OizcT74oNmN8F/nlICh80krclAW5uQaIi1naegbuxVlStknrzZV6uWe1G7MbhlAOTVZTO3ZKKKqFxSAQdFAzKQ9YfQ9M85ERAZR1J7zNbFAEK9dvgqdMnLETqUzov2DnMJ3Az8YKXw78IORwndHv3YUl84GfjDqjOAHIwWFzgB+MOqM4Acjhe8OfjBS+HbgB6MfGzrlw5GCgoKCgoKCgoKCgsJ/G18pyFCShwOqfAiaD5TXEZWOqVt80NNC4T4Og60IgJLCIgG76CBie/QinX0+hNyL6Emcg6CcDtBuj4MyE6ID3nzYm/PvhOng6ChPhV4uNSG0LyLyQj0oYnyQcT2FZTnXU4BoF5nA8JLRImIMq7bPczQ9DBEJN93j0Q6EN/MEEbFTY2iTEXeDSrd4Kr4nTO8/J7gI7ykFxaQqBPOfAQ4AACAASURBVCrPLRYKc5IYwKcVRkGGP9eDurIsis/Ux7Hzd2ouDijWa6jr/GbQfDiPyTALfiMgoGh9EEAIuT5i3GmKZjDP0aDiI/XyoXJeMT2zkPIGrKH8Qif5IYpQRSF9FiQRMeYkOpRoCu8KjfGgrZxUj/Mi6OMXnBj3jCi154x6UC3H+eE/lrYaRUyYcreFDv4zFZLz5hjodpQbJZOHXkVEct376Tzmdi16dD7GwLYo/FMx54Fqhj+LEQ3iV5RfpYhowXFyvTd2x4HYT7aBxjXXDh90WRyUkd+mjLmehjsxjqfVgSJ5QhHs5aOaldIRzi87Si9vTWD3eksQVLiTCjCmF4Uq9bLhsDyJM+yLGXfBdzaukkzhgW6/1MuPRzDe2V+flYscGc0a7Pa6JNp8UitoZyIi5W7Y1Tl0wL/ZBPuuIBry+2nYwTkmzD+F9BtXhjA3MOOAqaEv2mDzrSlQYP5oNlIR79Aorx8JrlwUw32MzYOdHp+GD/ncjLlybwp+g3MCioikEpnLIdYlH33Agjg81zONtcILilBVGK93c4NeVkIHvGvowPzJzgq9PCCBdr41DJu/1wWaTnustKOPT6R8V2Nuxrwx52+YH34bgz13dYFm2hjHe1hsgXMYcY64wwvRXx6LMRrMvjpKzICl1fMlk8hx7ffFSZqXziZBp40x2Plgh1G0iA/f++hIwgQLxkODCXX30ZrhnUjH9NMWwfunN2E+YRu6uhQU0zVJtPPrIzBPvLnSuAbaR/nHdmj4rij93jlESebIwbt2vP81OrJQRtRvzvMpItLctk0yBacTPoKFwnj+Wd4AStpxJJzwRRMEhPj4CVP1/HTEZTT5kKtj6FMRkbEPQKxBq8WcZbvoZr289/gr9PInjbCXVwV2xDTtXWG8zvS3o/w0NogpsaYN67LGqFE4KU6iLl29hR2+j8WqwhGjaAdDRY4UFBQUFBQUFBQUFBREPRwpKCgoKCgoKCgoKCiIyNeo1TFlYl8bFK96UPi7N6mtlFKIb0sY4fnhboQEtyfwPZz7IE6qWLZ2ggcnkVodU/SWhEG72Us0jmACFIKNKbyHQ9seyrNjNuH3WJ1rtAeKOfuIwmSzGp8pTy5ECHM25ZDgUGWIaEGZxgEt+WZShdmUNoYbR7jQ1hwm/y0pIl1NOUAKSK1u2AYo8xR7cB8/CyCk/lEuwvA9TkJotFsIyiLOT0ApOtaNtu21eqGhrguLQEFbRbbAOYGKcvFdm1N4nfNJHUN5SJakQf/cHEE4+EgvcpjMSyH8LCISNUbJvxP2hmD3rNBUFwY1pCIX48pLFIuBuaAHzG9FXySIdpFHSmQiRuoG56I4sQT5luY1wlbnawjJ/5woSSudcBF5xDRbGAPlZx2p0+Q7UY99CbT5QK+R4uAzg2bKedC4b2qov0s9oOIw/TDTyLHub/cCh1HRZmWwssP3s7plcQ4oOA4z7JNztvRMwZ7rzXjdPQzfYyI2xvstUBTqmjdSLx9rBy1RROTfjVBgvJIETmYQnbaE2pAVR2eROhFTV5iC4SQfyfe8PUg5ScgfFLuNVNlMYnoav8N57250w7bzwdqQEmKxnhhGO/2DVDFFRHYQ7WZmEvPXhlbQOJZ3B93uvmqMgYtuQ3+8fj/akFUnZ3iJZpaEfTxNKm2/t8EH+6JGSssW6oO7W3EfccpF9n4d6F5bSFTkVhP83IcOtFmNzyicsak+c7Q6pqbymGW1Ts4FuLkZczVz/ZM56MClzRgco/LRF0yV/t80ctIwNc2XMtKZv3ChfltpvjxRQHmc+zf45yFd4MP/WQVbe8wKP3c2jctzSFHtf0L4TqZx7SIfuaoVtFwRY5u1zxOXSRxXuH99tbKtUn/tg0bQ2cpyMI9eEjUuGc+Lok02xLD+GFyKz9RS/sT32nCPzVH0/XNhVgPGfa/sj3njzVqo/75J9M88C+aSEZ/DH/ns5AREhJpdjqf8jjFaBg/PwzrS3wP388cVVNfCiXr54oY5enlCCdapIiKzM0ir89CxDJ5b2Dd57FjT8jp5TAEU6oot8ClriRI5zgHKbhVRDnsVGfNapdZhzWA9E/nmms/7jV5ubMQ8c1sbKN4n+5ADsZeG+2nzoV85X2Yd5ar7pI6ow0U4UjEs16g4ujIJO2pN4fNWOkLAzzVbFa1OQUFBQUFBQUFBQUHhq6EejhQUFBQUFBQUFBQUFORraHVOC8J3rERXGQD1pSgHVLoa0ulndbaFraDsOOg7HU6UObETq9m0x6Q4QodvE1Vpgh8huzY7aETbw6hrmoL1HFqrjyB0yN8ziyhyrVFQxfrnGylCDTGE3pk+x7S6Ehvab0ekUr4PTLSD4sjqdCIiR+agztzWt9lBfznSBlrXMg1h5EurENK/MIz7G+iCMt+1cYS5PyfFPgkhtH1tGq//JQqlmoEFoF2KiPzJgs+UC9SJLipBOPvdFO7BQs/4vy2G8lZBCn3c3QJagysHIWROJtvTTfUWkYbAFskUODnZptY9Hb6nMQZKzZ423F8p0RpYNTKcBF2BFRdFRPrl4x53BUGjXMRj0Yrxx2Pj8VokNWQFr4vdCGdzgmjGJfmgfrk0tH+jyUhpCVD4/NwCUFSilMTvnRhskFUutUMLbH5nHKB0tCWNSWtLnPBJm1tA2yl2YvywiudQSrDLvmaOGffUywSfMP8N+NHbU/A73N+fJuHL8ixGxUwfKRKyehPfB1PmYkQ/vbUA9LL5Al/ICTfnksLmzlbUg32cgTrlwLgVEckcWUtkaRPoKl09UCT6U+sSvTyJlNKOobE/xIpxaGuXQHBEDH8/T6p9N/lBUyyfDDto+QNouNsfQZv8/Dz095WPYZz0Pw00nQnvwg421JD6UgkU1e5Koe9FRMY3ztXLPB9fUHi4Xi6jpJk85l6iBLcLm+EDHs0BHVpE5HxZKpkCK0+xEt1uUqdiBT9/DmymlShalUHQfzih8qYQaI0eLyjzNqLQPOlC24weZ7TCw3bDXn1jMH4Su/B7rtv+n15Ovf+qXp6wE+9Z/gnqxH70zRBU9paEoar46xzQnEaQKmllgVEJ7sNW+IF8F+rX0LFo6LdG05d0fC/RZeuJ7n0YUfILTUa/2M2Mezw6H+uP5Qn0cR2tj7pSAulpLlDrxzaAJsqJcS+uhn2cSKctrk+DitVMFLI+uWhPZ7u9/2pStU1QP1VosJ3x1aD9bTsOVNQNLz+rlx8eeTvqVz5aL+9MfX95lTiBN1OJc2yg3zO99pNa0CJtlDieab782aNItThKR0v8Q43zfPMnmB+OefJPepmPPLBK3M25GH9n5GHMXNYE/8dr9GAC9vW4G4lpPyaFuUWNWJdF8tFHIiLVMdSD1XhdFvSxl+ZOeMKDoSJHCgoKCgoKCgoKCgoK8jWRo2iq4y0Kw0FdOjj+0zzs1u2kXAosttCUxG7SMXY8/Z9FuR7ubsTOtYhILwd2J3rSbvRfCvDUvteM33grgkN5fNib88uwIAMfWP+8GbuBI33Y2ehdgF2tRVFj/onwIcQWbHSANkB5fTKN/pb9dftX0/JDvifuws5AoRO71D9NYyf0fdo1ntuEQ9q2wxCxmdWEZ+15y9EmM5xoz4XP4b5/L7jvzc1z9XLPPPS9iPGQ7ika6vRgFPVoolwDu6OIrPDBzoFF2G3oF8dOyjwn+mjJIQ6FnlBoPFCZuT1UkZWNiOQNycdh0I0UReKd91EFOGz8Ewt2FJ1k/7Vk84l20ZQGDTs+Z7go5xi95xTKZbWNogRVpEXQ/nsPoMKBiJKvEDvz91XNw+u02znQg0iWiHFsLGtB2/gc+K7jCxDFrUxgR4gPWWcaPV1o69UtsBPOCXFMIXZ+V7UYD1EfwBbKhXR8Dna36uiw62dJ7KQ9EcLB0HCyY39SYEN7Lmk07nm5SGymiwORRj7IzW3LkcwCCuqx2AyLQTCLgA9M884/zxecpybT4LHxGw39FaY0MR6autIkJMK7ibmUN0pE5MyWBXr51fzxevlvCUR2/nkb2qRl96d6+eYjbtHLR7+C9hnoQ8R+9DvYQT/XiTE5vhTvCdGp8TftaHMRkXd8Y/Xyi05EjTlX21T3YXr56RDq6qb5boaXIsCHsLVMgOdFtgf2cwcEUERESp2w2x0a5vCz8yF49EwN8un9pBivj9EwF00igYvKCMr7lhtFa3rfAX9vPfVyvRz9FQ6XJ194Si+n6jGXWbujrjETfqOO+m9LCv3NwhNtbrx/HOVUCriMyzGOvnL0LNPoY9s/306nw/19ScxjGAlUXJVAv4iI/MuGeWBsHSK3Q30Vepnvnf3Ivyk3ZSFFDTkPzQ0JtPOTZrTnLSRA8yAxSq62G4UretyK8fDTW5Dz6uNApV4+1od8fMweaV4Cn1/SgHn6yqvg8/76JO5nLolTZBqNURJqIZZAPq2beE5e2IzoSm8v1lqllCesPol+CZOgyQgz1odtOxDBFRE5rhJrxIle5Dw6yo2o4wskgnZ7E9byi0zIubeKoqIc6eXo1xZMaXJ/8bF6+UOBL7GajOJtVRr+1xCFvRTQWCq2GVkNh4KKHClkHfxgpKDQGbD6EA89CgoKCgqdH/xgpKDwn0I9HCkoKCgoKCgoKCgoKMjX0OrsdJArTBScEYWgBJRbEaKaFQI9JkIHxHtQ+PQyGygmzUTPm3w2wobnzwadTUTksG0IwT0+pAL1uAGHV7UG0Kx2/w3UlQmUd2UNHfTfk0a4sKgI93BzEhS+1RTuW0MCBfvCxvDpYB9oUkvrEc6sDoEK5HUYD1BnEmu+1Ha/Ph+Usj/Xzje8Z1UEh1E5FLnaCv7JBTGEU7e70Q5bHgFFKN+PMPJGypcxOgF6xBwXwuJFSUSFflY+QS/PS4AmcLzVKIRwfS2oWXw4c5ANIfb1AVAAmC40gvKHLKfzzPUpUCKGUd4tzqFh+x73ClJE6WxKwJYG+VAXFvbYEUb7OD1onwExfM8ndsojZEHfiYj0NMHepp4FqoFGVEPrpOP08sh80JPSaxbr5T/9HWFqpthtCINaWu5EOH9iCULna4Poo/bYF8fYYLGFwz0VenlGPQ6VMpWqup1YQiaxprWyw9eZnlbtQLvzAXH2C5Ny4MO6p+FH1qfhg5ga2jcXNJauNsoXR/S8UxywlSsKjXmOntHQH3uJ3jHaDwogHxbfGgY95qUcjJkmOkTPuZ6GOEHNKPDiO9s0yrFDuVE431imwTntis2wvQdoPLAAzvU09ibRAfLpLiOlbJQVNJHfRZBXg22yjURQLjz893r5sSGw57ZqtOct1fhsgtzLH9vW6eUBOfBxb1yAcdv3ydWG+t08DnWv2IB57Raq33IzxsYTNtDcbzGB6rLAjM/eETTmmMskhvkx13P+QKbl76E8eDxfMmWugJYpZW5Qrj9tQBsOKwbFfnsEduvTYIfVlGtIRKTHYrRvesuNennLKhwoL92LcX92Pfr+GCfmvojAjj4LVeplFi4pobxfLUS9C1LOmtx2DOZ6ogX5nbinoJHp9J0x50vhIRb52EdiVy8Rze08V1/DZ2/R0GfD8+HzWuj4xJBc+K0TLZjLHmpeppfv8UAY5LoW2OR1OfjtJ2L4/o9obXpDA+iwZxZDEOisG43zzxAH+iDlRZ3er0duMF7LPdSA8XbXR//Wy2sfgU2stqLvI6nvj6LKuaaYvsxCTHx8hQV3qiPwlyfSHLLDBt5auWD99n4MFO/710J8SERkYiF8Sg8TFlhPxCGSM9WKufqqNL5rfgBU8Jt8yGW53Yw58Z9Vn+vlx4MYn31yYDcjrBif/6zDWkXEKFZhojKDfdFXQUWOFBQUFBQUFBQUFBQURD0cKSgoKCgoKCgoKCgoiMjX0OpYOYLVmnrYEJ4sotDaXMoXxHrqx3gREqZUEnKeG6Fbxx8f18tlZyK0JiLy4jkz9PJZe0AfmdsEys+7f8Z31ZgR0l1sBYVsVAqUhZ2C0Ggvup8XrQidb4oh5L89CBqK22bMP8Fhum6k8d5EeVrM0nGILxPoa91PNVij4b6ZliAiMrseFIS7i8bp5SpSKSmnPACLJyM0GvwYodW1m0G/Wu5EGz4aQlj1mDx8likwM9P4/vnPna+Xf3f5HENduX3tJpjo8hhoCr/2Qz/fTc/409OwwcNMoCcxTY2Vm87JAU3gxSDaKNM4zA9KACvUlVCon+3lV4WgGTgoCrzGCXvuR/dXpBmH8mmk7LPuVVA3KLWY7HkT6oYpss9pDoyBGc1okwsKQGMdTtTEtUSx25YA54NzAOVajGNmhA2UhRrKo1GVhE0d7QfNaXcUY53zrGUaFZ799r2x2UjJYMqJ9RAqlNw+fg3vWWlCm/B4uCEHY/T6WoyB9ZR/itXgFttBKfqFy+hP+gfhd14kH/RFBLbWjT5fRspgx1rQF39thFrnacXIP1VgAgVjcQwUXaZscE4sVpwSEdmcwdxuXRy4jyfJ13cluth7zaDFfUy2PckHBUSmkoiIuM24R84JdW4StOvHbejLHLKDz5bDhq9PQj3OJGifZ62go/+MFOPayAef/jL8F+eaEREZAvaQ/MIHmqOF7GtFFPPUclJRO8yB97+SgE38lRRfRUQmhzMnRNIcx1hujFKuvCL4to+IFjQgB3VcTz5lZhC0p+F+tCH78X8Hocz3GFFD51DewhliVKkqnQGf+UEatvAnUi181IK50mSq1MtvNIPyE0lgbXREAeo3trxCL3/UApuIUS63v2po79K0kRrNqpB+OynXSWaRa9tPN2RKUh/KYXi2CdThaSnQfEVEdhI1+AErbHoZnSKYk4C/fj4C/3IK5SJ7lKhcNxfCJkMmtNWokzCWyt6E/zraXaGXZ1M7LyZqrYiIMw2/Oi0PvurcJOzuNBtUVe+qBr1//N1Qr1xLRyTWtmHdU9BOWMqoafzdwFS62jBR0okqXRVC+zBV/ehc2GQrUTqnVUOP92dlWE/1tqNthhYbc28NS+Peg/Qb847A+Mn5LcZcYAo+e3YPtEioCXYzI4j5h+e7MV6sI6NE315ERzKKc7DGEBGppjbIozmbbbsmbvSrh4KKHCkoKCgoKCgoKCgoKIiISeTQ6ea75SMPAO/SbG3BE+DIQjzdNcQhqtCH8oVMMmEns0fC+HMFlLPk6MvxP3Mf7LQ3Pgb9/EuqsLt3Uxy7KUddh53pR57CbsMrMWR2d9HOIOdasNMO4IYgdtUGeZF/ov3/HKTXX0c7fJxvhHcfWce/thXZsjOBX3T/mV5uTGPXn3d1mmIdZ28+owC71z+PYCdtwmSUtz+N+7ucdgP5gPcfNOy4PG7Bk/2mNuP+CUcjL6boTx3l5alPo92aSEihKoLoAbftDYXIYL8wTYe1Ldg5mFaHvAg+Jw7mcsZuEaMtLKj6VDKFXn5EFTjXyjYaS5xZmnP5TMzFAfjXqo0HEH9eBhGOtVHs0A134pD3Woq43afBphvoUOsZv0H7P/ASbHiLoJ37CnzAndVz9XKZB7t4LM4gInK9hh31Rit2b3ZYsFs+kfQV3nfh9dcakZeCczvE09hF29eMHeNM4GfdTtPLnzZBCGZ0PqJYcxvwupuyjJ9PkaPetEsZpSAP53DjaPwAyofTPurCu14vkb32fQB2v/paHG5ebYbdP5mqlI7wvBPRl6vjiDwsbsDO7lGUz6kmjohGQ8S489bTi11mFixIUD9VNq2RTKFvIfzG75zIUfJqGlGTX5ooCmE1ikNUUa6pY9Pwyz6K0N4eh13tawMrodwNWz/GgzlqSxzvOc2OqKqDolbTkxjrfvJNjxYYs9C7i/D3/9uK/h6bxPhjIZ3jovBZYYo23J9GVGKiE/a1kfLvrApix15EpKZ1o2QK5RSl45w9W8jnXVCKg9ksZhAj4ZLxHqwxXqvBWmB0EfqeD2mLGHeXtwbxey1RzCcTihG52B3D3NKfoia/SGKcvG3DHPp+LaJZLLYznr6T58e2tPGw/sYWrCUG5GHuXN2I9Uq3XERsOFoQjhj77LvC6dxvrxwp7mcyilcsTWFeTRBTxmfGuqsfRW7rBP03nKINf22Fn3rThfXl8c3IX2Wh6AGLgp1TCP/KEXERkRnd8NvL9mLt2WrBeJjcDEbSk74xenmxHWOpB/ntF+Loi3E0ft4LYoy4KM9nc8yYY6kusFkyBV6Lt1BklHN39s6Fz9vcjPYZUlChlyvs8F8WmldmN2JOExE5pgDzXQ/q1w+DWLvyuPzfE3Dv/5qF9r+hBoyISaWQVt9LgkxbW8FEsFHf872dX4Jos4hILw1292oU0bvxLghq1NA6kvN2MlpIRK49sho5+iYPRp0Fh3ow6kw41INRZ8E3eTDKJuztEop1dhzqwaiz4FAPRj8E8INRNvFNHoyyiW/yYNSZcKgHo86CQz0YKXxzfJMHo2zimzwYdSYc6sGos+CbPBgpfHMc6sGos+BQD0aZhrIeBQUFBQUFBQUFBQUF+RpBBj5EGbHRocNCHGLfFcYBvTTRQUbT4dwdJny2iwlRlx02lEesw26K62jjIdFYiHIBEDVurguvf/EUdjTub0LonaMVLtJ1H+DBjo2Lcg308YCONMCKkHqTC7tOnI9GRGRIPkJ5AcrBMigP9IpVzd/frtD0L3X6+f48VuMBeM47clg+8k/cVQ46Qf7vJuIDEVBtLqHDkrxz9DhRVzQSc/iJBbs3J+ZhZ/llesqfEzWGxY+lsPVaOsB5tBPRh0gKdvRnN0LsW0yo021J0FVuJHGGu/0Ioy8wQ/iAcxxMKAQNJNPIt7k7fN1MNBgTUT2vzgXF4cMk6EJ/LkMfBeiw6mg7QtwiIqtN2MV/LReHFrtMwph2/s+jejldjz7e/fJjevnMKOzoDQfGwKAC2PzOIPrr1Fwcyv17DKIGkbgxOlhgxY5UXxvsKCawU68ddIzdAfiZ4SRukclDryIiHzfsP8g/Mr+34fVNYYT+WXiAD8QWkyhGgxl9c08VDvaeVIp+NRHl6qFc3PdPanCvP/WA2uYrRDRY227cMculnD3PRUFZ2BPGZ1514reLK9Bnl2zB2LMXIXo6xAoKRqMVh8VXmdEWnNuJaUSj8oztl0laHdNSZ5gwxsfb4HeeiIJSdlsStmoR2J0mRvriKsrbNsiKeeBOO6hSS+yYT1Yk0LbDHPjtwhS+h4U2jisBhXlZAPPBDSbs1KaaYfOfNIBWKiLStehovTytBYITM8jX96acgusaKvVycQmiZEtbYDtPekBrExE5N4O0Oqauc26jily01bo42pApNZUBRCvW2GCrfhfuY2E9KD7r6PB1AVH4+noxf/h9xgP6tST+sieIegzNwWeYctWQxJx4SwmEGv5MFOMelPdxbRzjOEaRVL5PHjMeuzEXokbrqUK6790ZTvPWK3f/HL0xiohbV1eFXp5fjyi632UUHWAKcCIXfvmRfPj7eAztFjCBMfISrQsH5MMHHUlzfi2xYdaQrewgUZ5fVMPXJMw0I2givW1YwxVQzsvegjqd2B9roKrNaOe3SESIRZ+YOt5Cgjw93EbxgkzS6nx21L2G8oH1oLHEfdEzD3MqH0eoJzGC44muzxS2eUQb5zx+IiJeK8bQ67UQdHjjZfi8VBqf5zl8B7GZKgOwtV+VHqWX3ySfZ7fBzx8fx/fcnYL/2hsy5hx9j/ojlup4LdEUbZNvAhU5Usg6+MFIQUFBQUFBQeG7gB+MFBT+U6iHIwUFBQUFBQUFBQUFBfkatbqSPKjBREhZqcSFJ/JdQYTH0pTbaGLJUL082owwZIxyL4Qov0NPUgnpEzce+jvhPoRrf3/rVr38TA2Unzhs1koHL08kGstgM0KmH0RAu2BlMA55c46dKIXFOc+GiMgAC2hLn0f3SkfYEkC4N9NqM+PKjxMRke5EfYmSnr2IyBqiBV3uQr+ytMREyo1TFQENzEn9NNUCqsDVJkR8ZlsRph6bQuj1sDRePzkAak3/XNAat7WhbiIi3XKge18dBb2ilcLzJxTBvuaTEsmHHtDtrjcjjBumfBqnu2BPCTL/F5uNNJbvS23GRIfs7eaOxT1G5qBt/9ED1KHmarRt8QDYub2nke5gv3SyXk59+pZetpz+G7w+6xW9/NkdGMfXaVBwOSoH1FAW/IgTvbI+AXrKjjbQHQ7kDBIx5gMSERnjARVisOCe7m2EahFTTiIJ9B/nHGoMwh9kAt6c/ZTTPrnlhteZmsB2yNQhVp9jJSym2swObtHLv/LCJjZpCPXbBT6ojwn3Wk0KUN01UGhFRHI12FQr+didRK+MUp+dlgBNY5AV/fcAiZIcmcZvr7ZQ7iuiXnG+pDVN8KnHF2N8ioh8tPcjyRTu6H6BXv4wAX/LFMKr8+AHNpPiop3665ikkXpcY0G7PdwCVa03nKDDRalv7rOD3uImuvjnLejjrT+BHZ2zBMpWixrxHqY5NyVgB5c7QbcTEYmRpsmbccwhv7KBNrjajH5aTIpeg5ygN5ebMFcWa0YRmlt3/1syhcNLx+pl9uPFlNstRH6ZKaqcS6zIBt8WJhW7Ex3wkQuT6HvOiXaxGzTfN2JGansXym/opLl+DeVYmkiKhC0kHDS9Buqn7I84R18B1Zv9IvuJofkVenlTq3HtwEptvC7J5LwkAvXHIsqlxO3hoaMM7fM1bolhPXCrBdTuM66kN8Vwv22fo5/+3074jjHkaz4xQxVwkAltOJfo9j2p75aEYee9nVg7cG5HEWNb28i+TicK7WcaxvRHNaDc9/WB6ncljcsFJtTV1K5t3tw9XTIFqw11LHbj3plizHmOunrQDodSgKsKYZyUkQonH8nY0GTM93cMKUQOsWFd/3QVlABvKTtWL/dJoE1esFAu0gTWmn0cqGtDEuuEpU2gz11eAgGi6aQW2MOFz7ZHM9Fg66JYQ4WT8DmB0KGPu6jIkYKCgoKCgoKCgoKCgqiHIwUFBQUFBQUFBQUFBRH5GrU6BodTG6IIiRXlgMrFocrFzaC7LKKn8gAAIABJREFUBPMQxgqlEPYfSAo/8+IIjZ7rAM1ARMTxB9B8xlOOofl5CDXuCiK8y2HHI00o7xT89vYAFMA4+dlgUjNqMIGalqKQ/6YkQq8iIoWkUtXdDsrd7AYkErSav78cOgcoTq9SgtBbKbQpIrKdkpV9Kgi/Hm1CfS+O4b7+KqDVpanvp1Ky1zaKIk9vXK2XAwWgMswlasAjuVBbekgDLYQpmyIiKVKRGuGt0Mv5eQj3VqdAP/mDH9878iHQeWbPgkrY6dNhN2+HYZsjXAiXn50P+oyIyOMZpC+w8iMroS1tRF1KyG77UxI+93DYoXcC6AfmCqjrpUnhTEQkNe9dvRz/AhSezffeq5ffsMMmKp0Ugm5CCPoLUpkakYO+n9+I0DbTBGOkipgkGtdAN9pZROSjZlAeuhRAwWhMARR0ZtWBhtnPh98OUrgcxIDM4EAS57pYi+F1Vr1kukt5DqgFzZQguYnoAcdZEPpfRdSVh+pAC55ENFEHUb9sRHpeGQetZGa7+nFiwKMpT8WiJvT9xmEVerngJiiCBh/+QC8P2gaq0u2UmPF4P2ytrxtKSEyp5GTAn7ajtGQSZxGV5U2iZQ3zgl62g+iEo4nm+/cwVN7GO43UP07YegQpb31I/b0hjd/2CuhGp6VJzY+oVak2dKCF9iI/o/5+zYQ55+/18FkzStCeIiJrA6C4MDWrrhB9VkBE6fOdoDkt1mAv/1u9QC+/WTBBvi8wlbyLGzmbfKR4xequrXH49DxS54po8Cm97cYk0wfwGw1riSmkVHhnEO1pb5efMJQD2znVAwXefqQQeV0Z6Man7cT72dYHkLrd+hDWMW201mH/wQmfPTQv9/AalcEq6chCP1LdyzStbveXaye/HxS2ICWt3UyU/KO9xhyUXMdWP9pw5mOYw0+cDBqn79Fb9PJTaz/Ty/+4CWs8Vs27rwz2sbgR4+2kOMbY26RYVhvBGiaRMh4t2E3Kyj/1gdL8yyKsBUfuhq+2lIKaGyIb3GHG935Mfq49FTuTKCCVwH5u/M7CBig22ohix0mULSa0lUFdldbuJUR1rSM15sGkSisiMpSodOdG8F3LCrGmWanR5zX8RhUlEi+143VO0Hpg/hURKc1BnWaEQLHjua4mbJwHuxGdkKn8A0mduprqoWh1CgoKCgoKCgoKCgoKX4OvjBzlUm6WgOApzGXB0x0fAju3ZBQ+TIl1323AwTbedQ3RwSg+NDYziR1SEZEA5W4YSAe8RpIefqkNT6JhesoPUS6Yj1rwhHoU7XKckKKDk1bsdkdJiKCKhAXaaFdFRMRGQaGP6hBBSZFAhc3yjYN0/zFOsu1vh7pcPLG/0S5zcH8ndtZmNyKitdGBjuLDbb9LYSdn0US858WFaPO9FrSPRhGGRa347T/4jtDLz5qxc3O4FQeEDy8ulVfql+t/96MDejPqET3gA481k7Grk6rDTtPG67D72PdstPkYylk1k3abN8ex69Q+WpBJcJ6PvVH8ZpIOSHJ0toUENZo+ww5k4Wnoi8QitI2lGPYvIvKHf+Iz6xPYA2lKYRewoQX2wrtRY/KxczqMREzejWCX5TAforutKYyNFtr95XveFze2bY4VO6bz6aBtZQh9OcgHMQi/Dfe9qdmYIyuT4HE63INds8+bsFs7LK9CL3OOtDzaEWehhvEx2NtveuH90/cg99YzCdzTKBsdNKcd//b2GYxjV9XvhA+rJPt6LA8RouL3/qyXo3dN0ctV22A7MdpZHJqH+18SxG6824qd4Jow/H+BE7ZyXBF2ZkVEPtrbsVDNt8F1FG24mQ6Bz7WgnQ9Lwb66JTDGWHyne7uI9TIbxt9cyvUxJReHgdfa4dMXtSLqO5d8PYsDdZ2Hdju5+DC9PJkiiz+xou+YicFCRiIiPX1438ck7DGNIuFe6pvfC+zo2TjG/esULbosAr/7fYLXDJvaEFHqkYO5PU2R5tow5eoiVojFj3E1uw19dEYBov586JznpdOL0P4iItfGMNb3UvmoEvzepXthR9uDlXp5rB8H01cHwYIY6YVf5F36QBz9vSdE+cooosaiGSIiwQT8Kgt1ZBoe+/7IAufsKaEId2ME0eFj3XhdRGRFDubVp5NoBwdF6U5MYO0Re+Q+fDiN9rmkD8bulaVYd549D2PyRAvGw8mjYUOxd7Hey6dcRl67S87zQhjnQxLh2kfruZfqEAn/0IooUh8zIhfLWvFZXy5sYiJF1JtTGU5AReBoyep0pV4+gtaxm4PwsXUhzBXnlSKXWZxYOQ00b3Ok8HoX7smfMuq1cRa0mS78ryCFPmsl4abVlHNsSzXqN7wU643fFaB+TwWxfh7mhv/6oAZiWZNKMY7XtRnXAm6KxPrt8JcsgDPQ981Sx6jIkULWwQ9GCgqdAfxg1BnBD0YKCgoKCkbwg5GCwn8K9XCkoKCgoKCgoKCgoKAgX0Or4wPVjWEcRPXnIFRW6kZYdU8K7+ljRUiSw9ycr4QPcvemQ74L63HITERkuxu0m6le0Kk44MeHvZiiNyNVqZc5NJly49OrbKBXbEyCJlJFNJZcoivwgVIRkYcoJ8ZFpRAHeL4aB64PhK5FRKKIOmYEn6X302jKKP9SudWY94bpaTcXgWqziA7PLSE6XKkLB07/thjh/nkphEYnWNBnJxbigPGpSfz2OC8oBE/Xom13RECfuqiI6JgiUkE5rzZ6EZI/2wUKzdZXQDMY8Pz5enng2bDBtn9AlGABURQ4twbTbIZ5QOMSEdnXvF4yhUMdFBzmBw2jhPpsXhTh4vOr0c53vYCx5BAae2ljHiEOQ3fxUp6xFCgIFTlo2+vS6OPlpALwWMMSvdxG0QqfC/SFw3Ir9PLWVtB3BhbiEOS6NmO+BK7HcBu1jQP91NOBelcnQe1w01gK4GsygubofruK5Bi/uIToI0miJmwjO94bhK1PKkHoP5HEHtQnu0BL7ZJCX/pt8Cl/qUfOiEuKQTnok4ud0DYx5oJbGEH7Pm6CHY/6M2hLiVdAaamfjTEwOYnv2tQG+mCS6uekg7IxyvmWYwONoZz8z/pQ5mh07fGgGRSOqzXQa/oJfNZcypVyqYa25bxMHzqMIjnP1UGAggUyLg6A6nGrHeIhv6XcIL9qweHyU72geE1y4bd/1wzBnLP9EAF6hWhxoQQmhy4pY96UvVaMS6acHGECFY/zM93tgm87zQORjotICOSLEiP9cVhgi2QKPgf6aU0jaElsSwW5aB/Od1dA9KjqNswb61pA3ZpSDLrjihRoeExV7p+PdqowGeftBNHvG4lSOXJ7pV5mIYU8yme0IoD7YbGlHTH4gL0kFMBrknwH/HxbEv39dhP6TsTo5yyO728f+9j8/RTBd6rB4HD50UdXUo6ZavJ9IiJ9XZg3psRhhwupvh8+ibY9sgx9U3zTeL1sM+P96XWYd5e+gzEzrAjj7Z7FmBN/VYp5Yhod4ZhlM845W1vhK/ZY0U+9CkH9X0Rrz0kkauUgWmgxCRzUkchXol3bZBIlJE7Ac2criRNxfs+KPPTL67VL9fK4IlDmdkbRBtyPb2uglf7EZhQJ6UEaF4usWDevovFwnA+U05lxzANdPOgnG639l6axBj01F2Je3JrdvKCf7o1jrJc4jTlHCy3wOUyN7p0Le2HhpK+CihwpKCgoKCgoKCgoKCiIejhSUFBQUFBQUFBQUFAQka+h1bFijIvoEzlWhBULSEWq3IJwcVRDUIz15lmNh2l79XHQINrnBGLVvDYTqAVj0whzzyGqko9yJIx34WD1GU5QmGoFoclFUYRb1zeT8owfNK4JdoTlnmsGZUlExE768jXpjg9KO9rlWMgk9sb20w48FvTL/BZjLgQ/6eS/FoPq2BAHwqmc5+eFOoRi3yB1qDFutOFTDXjP9f6j9HI/aoOj91Tq5dtzQZ97OoE6zAwZlfVWnAe6V+HbUGOZoYFKl5ODkK6J7k1rBAXzii2wtRXNyG/CalIcot4kRmWWTKIpBvsudKJe2wKgktRSvcpdCEHfaUHofGcYVA1W75uUY8w/wYScMKlC3uBDH4Tpfq9pAaWilxm2fmsBaKLPxED/2dOGkHyMqIlnF4N21KLhd/0Oo8pRdQRUmYVRhN53BNB/TMf1kM8pywG94qvyFHwbjCrYP+Y3hfYZXmf6Jed589pc0hE4R5OzBFTgU5OgZzxjhz3PrQcFgP1lvxT8Rq84Xp8qRpWe90itsOyPoE6kVsHuw8uQFerdVtCNcsx4fSTl9wlTrowtpDDGymNM5bVTnjtur0zjcsoz10TqiAMpB0epCf2yywb/fKkJ84E/ZhzvhUVQD1xMdGPOefRcAvPDKAfGyTP5Y/Xy6xrG+uRWUNhYqXVTAvb/qAk+9UZSwtpmNVInmWayJwHKN7GQDT52sRl+460AqErs/04L4H4yDS9RRY8oRN+w8tq2CCg8pxeAyliZRBse40UOlXdq4af+1YJ5mNck15aiH98PY245MWKkyh42Hj7stoWwXW4fO6lR/tMMO7g8DRqRmShC7JNH54PKWEu04Ao7/NcnDciTM7SgwlC/mijsvDUelu8Li4L7fWhfHyi/rURDf6QRebH+t3ii4bPFpKhoJoXVPQLf/54GBbipNWjDZVPh8+48C7/37BuYK5iauSoJP/V5PXTT5uRjjppF1Ec+tiFizAPUlVQCf0PqauFyUAgXpPB7KVqr7iGlO/aRKxqN65hMoi4Mf+Rzok3Yz+bR60Mp91ZlK+ZUnxn+hdVV68k+R9Ka8KEWo1jWhDxSstXwe6zyuj0Bu/0ZKa/+i+hsL1NOzh65WO+V0PqyiPLIMf2Unwc2txrp23spx9zRfoy/fZTDM6EZ/eqhoCJHCgoKCgoKCgoKCgoKoh6OFBQUFBQUFBQUFBQURORraHUcIi4lKgurPXR14HWvCV+3kWgDgwqgnsTfuTOIcF/YhLBZuceY/M6QQE5A2eprRvi7OyWTS1Co0UK/lyAa0bwQwuJM73NTWC5CIdM3ScWpWw7UtURENlFor94FygAnJOOkXJnGENd+ekeMqIy+XKMyz5ImUKKO9CB0OTaNEGWVBZ8f4gP9JJfoelupX4+nBGgPNiJMurwAaiWsZDaPFKSYTvZyLtTzRERMXoTkX7fg93qY0J69PntALydnv6iX/3Djeno/2oATf+0latpRPlAnmfqQabD6n5OoGgPyUC+2Wx4nS1uRkLfEZVRnORR+XgZ6zYeNoFY9GQKVgZMuzi0G3eGGGH671oz3XOBEW91F9LfVLRhLm6y4NyvRrAZ4EOYXEdmeANWiVx7Ge9CN8R0iOuduSgTZni6RSSxq2K/WxWNXxEit2k4qP5wE1U7UWQupL60Jw9adOfCRdkH7uIm27CVloj2UaHm1i5JkNoMmICJSfBraN7Ucik3pZlBAoq347YEx2NrLZvgslxm+dmMQ1D22X4P/J4oQU0yaIt/fWHKZ0M7HeUC5ipI9dxXyWURPu4ASHz5oN9K3C0249/EaaIrPxjH+ethhqzPb4FPPsoDCcW0KfmdvLvqFx/SLRbCPOfW4n/E2vL9nyli/m8dDGfG4T/H6YZSo+UOiAp2aRl0P90Adr9EMP/9FEr5QRGS3rJVMoSkGG2ggmmKa5mGeSzlJO4+fL0gpt9BFlCuizx/jgh/N1/DZkS4oZl4ehp8SETlzKSjbhRaMgVKaH/PI1v6WwntscfTNBKLuv9wAGlIt0eI46fW6pkq9fHIJ+mVNyEiV5fvj5L5L2zJL3/J8+d272+Bjj/GDPsXqqousxmMD0+qNRwwOoJ8ZdryxGapxV1jg91/JBR3umrfQzq83gMZ3Z9E41MMMuykrRdtMiWNcHO6p0Msz6qAyKSLymxJQ/2dSG1aMgm3O+JQU3EhB+VIPKJ/PtIEKaaO5vIsHVD0RkZ2xzCl28pzXQqp0nJCbj24so6TdA2n9vTGKtqqNwD5z7VgHvhFEn3poPSwiEicf+0wY4zVKCbVDKazl8yyoNydG/3UZ6Iur47C79Qn4r2gK32km37mpBePkd6WgM4uIPFA1H3V1gx7IcxYfg/kqqMiRgoKCgoKCgoKCgoKCfE3kqCs9CVcG8MRZTKIKfBixSPDkuo12jQ+jg6uzWvG0ydEofoqtcOOAlohIIz31bRQ82S8ijfcURU16uRBFWp3Azti+GHZ5HfTEvyuIe+tK+Wg2NOGw6nElECuYW4+dAxHjjuCGVuyScI6EYjd2g/fFjYe9vysGmfYLEizT0Ib1CePO7XAfdsNClN/hxTTqwjtHtRTp4n36feMQPbhgCyI8nAPnggTs426tUi+vjaA9f04H99+WmCxow8H6hofpwDsdjr03H/eQ2ohcMOkd+OwrDSv08mG+Cr3cywZbK8/F7iPnzxnnwC6jiEjHe2LfDpVkYzxmOFLJh4p5l6VLDsbh0U7syPFuSqFm3GVeQffVj3avOQ/AWtqpvCSM/jvNWq6X12jYpdoex67OmcUj9fJAwU75R0nsDC5rxM56q8u448iRmeVtlXq5mwvjry3V8SHMrS2ZHT+MA4ddNdEMud122uFH2F8M8mFXbksA9eII3wQ6ZPqzCFzu9Wm0z28LMB7+1YTd5xdasPvJedpOoDw8IiKhL+iw8ib033ETcQ/uMvjIR+tgH/sC+Gyxs+P8dCz2si1CkTAv7M5iwe744HzspouIrKrNXJ/xzt/FUewm323HTuPQGOryuANtsJByg52SMAoy7KJcN/1iuPdjXejjASSQcZ4dbfWaHbZ6Ev326kb4pqbrEM397AW851krxowtifYcnzTuRF//OepeG0U+Fpcdbd2Qgo38rgGiIDeUT9DLw+K4z5Td+BufSubAggzM/tjcgh31UflYG7xCbAL2fy7Ki/TTPOT6ercVLIGeTrQnyy7sIWGHM9x9hbGMDvgXWlDXbiTm4Se/WkvsliFO1JvFiyYWon7XxODjrtdgBwMo91Id9Ze13Y52kNY3UcrNl2mMcO2fH6opCr4rCn/HDIB3G2FTIiJ+J8SQ9gTxmSjlQjutFHPFqSnMvRNOxnrj+H6Ye+/9sEIvD1wGRsozboyfsxwYn7+gtjk9ie8/vWCc/DGE9YCV5kvOOzXvc/jLhgiixEFa0/QpwljnaFFvJ+YrD0XdRUR2Nq6STMFp6ZhtUhWFDbfP+XMAvSnazdF1nkdZBC0ch50flW8cM40Ueffb0fecB/QiO+Y7G6nI9KS2eqUOOb3KKF8c+3bOE9bNjc8O9MJWzGJkkbAoxXISyOjuxTNBK4n4fBVU5Egh6+AHIwWFzgB+MFJQUFBQ+GGBH4wUFP5TqIcjBQUFBQUFBQUFBQUF+Rpa3Y5WhPsNB8KI3rGJaFn5uQitBdMIdX5KOUM4XM6HrA00mwbQTUREPEStqtdA9+ruQaismx0hxaFm0LpmJkFzq2pDCJJ/j/XvExQO7peP8N2OKOraw2uk/TFidCiZD6k52oVcM4mmL/MLOEkQoyHWanjP+hAobWfTYf04HbhnaiKHWe8pHq+Xz9gISoSHmFzreoF2eF8U990YwA78cT4INUyrw66Okw7xi4j8tBCHVIcSZavX9QiZm7uDvpAMvKOXT/aDbrQpDgrmjjCoUE6i/3C+nh7FCJ1nGnmUf4HpczlUl6oI7DMYQ0ifaaxzUjho6SOqWYnNSAm8J417ybHDps+gg5r9c0AnYEoA5xKrInomH6QOaJQDh3zD4noIl4wtHqiXt4bgS0SMh413kR/gvFM9iF7bSHnQWOBlbS2oOJnAgb4ZVdrb8PreOCir6TTGSYBEI9inMM3g2Dj6+G6iUJUI+vXROuTDub4YAiXbNdAYmL7L7S8iMnMr+t9DGXGeWAhKJZPIUhpsrYFyaDB9I5KAD1/dDLvp5gXFYXEANJRYEn13TAEECkREMkcwETlHw+9X0vbeKBPaeQWdI/5FAnODi/ru3w4jveIMouRcEFqil5824+B4gHzeWzbY5KPlGCcPVeEg8IVl+OxFr6PPRjvgq08xgaJ1R+08vWwqguCNiMjWIGznLRcOzL9qgg+f3gsV1CrQB8du3aKX36P57uoUaNKZBs+lTEUtdaM/WCSJKVqMbk5Q/56tBc2K85j8i4RmOH8L5wraZYafERG5LecwvbzOBAq8g8ZZHb1+IvnUahK1OLMIecx+G0X7L6M+DrZhHGsa7jluw/fXRYyiTT08LDL1zXKzfBvEvvQXnFOovws2vEGDjx3kMc4znDNmAM0nV9KYe9cEu//5RNiwtQ8JdfXD2iC3P+x+18cgeprzYE8Tn6W8PzQPvmfFmGSKsIhIA/nM7S24p8dKQDtzEoXzCB/mABYYu9yFun6Qhl3XxL4/tgHnKuR1Wk0I9s0UsyjNo5wLaXsA7V/mAZ3tLC/aPD8PNnxn9VxDPXgO4dyZIZor/sdMeZXIpqrb0IY8BviZgO28rxf25CVa94I6jPWSMqNw0uF56LNNYTx3sKhI+hvms1SRIwUFBQUFBQUFBQUFBVEPRwoKCgoKCgoKCgoKCiLyNbQ6i/kQeThsoIy0JaFsURlH2IxDZWeQwszWFMKh3fMQlguSgtoyS6WhHvWRjsOV3SnHxif1yM/wCYXsDveDNvCLUtDJXqxapJfLKbxYRaG/vj7cZ1UINJT2KMkhFSFSeStxs/JTQr4vrE/ur/PGNlDeWmNhw3vuKDtWL7+X6Fh/n/vsnJIj9PIzMQgm/FWDMpKP7qk5gFBvyo72/yCvQi+f0ASFJcYtviMNf3eL4/MnX4XyP/8OO1h1/1/08s0uhExXRtB/h1OOi00Ucu5mQ7+w/v38FlDCMg3OR1BJOYK6EkWpOQKaD9tkPzfCy5uIosoKRnc1GHNf2Ki/N1EYOUK5AzaQvQTisJePafwwpc9LdJVP6jDeLihF//2sDKpr71RDdW1EoZGm5qT8IWV+9Mf2MOU+o/tj22SlyUxjb3A/zZKpGiIiayk3CYP7gJV2tgZB27jfi/Zc14jvYVoDq979jFSqXiW7CQsoBxtjRopQygIf9KETfVwu8NubSXlwmAVtPou+hykYuUQFjRJlroXUfspdoKSsJ3XPFQFjTplMYqkVc06pgAbzXrRSLw91gBb012bY4c3FyItha7c3eCMd4D6/EApbv6iaq5eZ0rngeLTP0PegrDTGizHzTh00L+cX4Dt/HoXq128oh8opxaAUJ9vRP472INfWTIFdDEnCtz26FxS9X7vgC69ygV65wAQ/+nIys7RUBtOHmUq3L4i5dHoC7RCgOWt8MdYMqwOVejlJCrCVEYwBVrNMEa30Di/a/LYAVOVERN4yoR6pFNp6J+UxO86NNn8tjddHWuC3r6GpfRPlM1plwv2cmguK8dIYqE08/wzKg22JiFSGauW/ge2x/bbL1K0QHQ8otINuWpswrsUudmB9dWsdcsz4af1wCSl0VrwNH/HBJ/BBHzmgynnTjfCL1lNP0suBe6fhPWnY8xoH7D9GlPCZAaOy3uY05rsCooS1pECNPq4A9LKHS9B/v62Bn+HZ5/+z995xcpbl+vg9ZXf67mzfbNqmhzSSEAglEBAERJpyFA9NBfwBBtQDnKigguhRpHo4R3+iIkV6iYAgARJCQiC9V1I3bXub2ell3+8fYd/repddEsKEDSf39fnM5/NkMjvzvE+5n3Jf93XznuvYQLUcLnCeLM4jxHm/XKQIuY9CSPIdaH9/PuZkLc3DGh/WhtmUC+mkMlAIRUTaSa1uUytCVqoLYW/rorA7vB/mvQ6v4azkW00hK3vjsKkZotsxne/VRqumcJUP65GHQhYaiTrOe5pPgnqOFAqFQqFQKBQKhUIO4DniUybnLOBbXA4C4zwfrPffToFwfCPxQRK3CEEnBZe7iiwBwBx4uS6Mv1lPeVr4NMg3U/mk0b8igVuyb/VDtuQg3WJv9eFmZJADwV6b83Ba3Rm33uhwoDQLVzAONgjsULA1tv8mioPcRhRWWT7DNyql1NYBygrP+aS+lkTfz6f3XyrANdmblLPqikIIMvx2CNr5ta3Q5Oe8T5dQnpzVEpcL6PeqBDcjzz+MG9I3HbiRmCy4dfpyIwQ8+PbxRfLQTCvDzd0/63FDzB6Nc/Ktwab/Fc6dJ4nzeE0oRh6AugSeaWAAgcfjfGg39oqeUoqbnAwFw7LHU0Tkt00fmOXRhXguzqLN4gecc4zzAHCuh0GUp8Cg8cy5ExgTSvCcu6NWTwfnKgjRzR3bGb5R4vp1/65coisfWWPSGhztsMPmFVPgON9oFVi8TWhDFtpgbxHbKZ678/24QfZSO49Nw5Yd7xgicbraesJAW2XSuDl/vAneWs61tp4EMVwkiMLPsDOO+TOxGDfoeykHSm9CGSLWm8Vc4vV2BOTe5YcdmUy5Z65NwA5Hy2Cb7m8BY+BJv9VjXeeHzXTRvSHnJZtAOfuumoe1jIP7z6uC/Tu581Sz/HcH5tuy0fCkDF8MMY5RNFcH51kDypdGsCa+RaJIwwtQ76c8mD+Lw7An7zgwntdHsG7ybXOusYPs70DKHzi0EG3oJ+9SxAW7z/OBhT7yaayyAMAeEkxhQYbHSTBquL/Ksl+pSWL+HUMCBP1d6JvXw1jjvlUAD98oykf1Wj7GyjGkk7Ivi3WTbdzODrQLCwDURBuk2AXbUkl5a3idyDU2te2fpyx85SOBns0RtGE/D+yXiMhv2iCQcWPlKWZ5ahJt8rAbY9WdxPd+O1Njlj0G3v/7z5BH8u58PPc1lEPy9FLYrzkNWB+ZrVPqKZCWOPqAGQ7rWawpAk8ee5f2pOHFXRfHOGjzYo8xrRB5gMKdVpGcXMJHe/GONH6f2QosbDSQ8vo0kdAHC21dSnvg1yl/VbEb3qjuYAGrU0hwKUGMg4wHZRaP4HnJ60alF30WI6/YOUF48d4kmz/MB/sR79bm+2JYm3gvzh6lg80ZdkR6jvhgpPi/Dz4YKRSKAyN+RFpu4HAdjBSBK/VbAAAgAElEQVSKQ0X3hJFHGvhgpPjs4IORQvFpcYQvsQqFQqFQKBQKhULx+eATaXUx0i53Ej2NAy2ZphNJwyWWJnfau2HkWGCd/Fpyb9XF4D49rdSa34EDLJnSZ6NySwyuwxFBBOs1UZ4WdvGtiMN9epkHrtFNRBF6uhEBnNNK4ELsnrOoIQaXPteP80FxQF2ucUZgP+0wQqIWbzSusXzmaT/6ht2yXN+xflC57ukENaTUBcri1jSelcfBQw2gce0w4I5uMOCy/rdS5IN4L1ZjlmcnrTc8dqrT6YWgVF6ShUv/rijcwCO8cLMW+NHOVTbQBBoMPD/Tf1qJQrbBefhumopdoAGsaYHABQcy8jia3YFAwwFEt1vRhrwywwJ4bns3OifTWPwUmBhNcTAn+pV/m6k9OyOggGyNYkyMLYIwxzshULeYhsdCJTwXREQaXD2LrHSQGEF/H56baYnlHrjhc02wa4js/51JpcN7fF/EOu7ryW5xHq+dRCmq8KAdjvXCNi2gPGgcMDrXj+/8axXac8UOjJUNTkq4IyKbQrBn7Qm09XiiNtaRWAkLczDVYnsIfVzoBsWOaTZ8I8v5u9i+HlsCGp6IyIr63AX+n1gAKuwuyjezOAa62KU2/P54O8b/lX5QSd52W+mge4ia6vXieY8vhQ16twNr2T9o3biDKL8ttZTv5WRQkh5dhL4ftQTv8zj/WSfm3mVEjRUR+WUpxCR+kwKdiSmg69vw9zfHkKtpThHG5uU0fn/sxDOIiHxblkuuwGPDRzZoUzvR+ogmV+UF9aWKKO2jC7Eujc1HW81qRvasAFHC6mmccw7D4wowF0RESh2oH+frYhvGuQofSWE/cHwR7MNxgnXpmlaIEpxGeaq2hNDfSfpOtsE8J0VEsjS2uU65Rhf9qIToVG1EA4zSvm57xpqv7tulEF6YlIIdWeNC3WfVWoUwujChAmtIAdmXVid++1k71okzKVRjRhLj402iNrO4ycV+63r+0yzs4s4o7PPZRfjelk486zw75klLK+rRSXZuXbLGLHOeu1yDbXox/Q6LlQ3wY27wvo738RxOwvtqXqs5TKQ1Y123eS5y7kje+59ShBxs7H0ZYYdndJ8LfdxOOVELyFYPMdD+nBeRhZqGuGAzRETWtoB1xvTdKhf2DBs69sjBQD1HCoVCoVAoFAqFQiEiNpHDqBSgUCgUCoVCoVAoFF8QqOdIoVAoFAqFQqFQKEQPRwqFQqFQKBQKhUIhIno4UigUCoVCoVAoFAoR0cORQqFQKBQKhUKhUIiIHo4UCoVCoVAoFAqFQkT0cKRQKBQKhUKhUCgUIqKHI4VCoVAoFAqFQqEQET0cKRQKhUKhUCgUCoWI6OFIoVAoFAqFQqFQKERED0cKhUKhUCgUCoVCISJ6OFIoFAqFQqFQKBQKEdHDkUKhUCgUCoVCoVCIiB6OFAqFQqFQKBQKhUJE9HCkUCgUCoVCoVAoFCKihyOFQqFQKBQKhUKhEBE9HCkUCoVCoVAoFAqFiOjhSKFQKBQKhUKhUChERA9HCoVCoVAoFAqFQiEiejhSKBQKhUKhUCgUChH5P3A4mjx5srz11lsSiUQkFArJq6++KiNHjuzraim64ZRTTpH58+dLNBqVvXv3yv/+7/9KSUlJX1dLISJ//vOfZd68eR97v7q6Wl566SVpaWmRlpYWefzxx6W0tLQPaqgQ6b2fGH/729/k7bff/pxqpOiO3vro7LPPlgULFkg0GpWOjg55++23ZerUqX1QQ4VI7/10xhlnyHvvvSfhcFj27t0rDz74oPh8vj6ooULk4Gze+PHjJZlMyh133PE51UrB6K2PlixZIoZhfOz1wgsv9EEtDw3GF/U1cuRIIxwOG/X19cbMmTONmTNnGg0NDUZjY6PRr1+/Pq+fvva/pk+fbiQSCaO+vt64/fbbjZ/85CdGfX29sXHjRiMYDPZ5/Y7m19VXX20YhmHMmzfP8n5xcbGxc+dOY9++fcbMmTON2267zWhrazNWrVpl5OXl9Xm9j7ZXb/3Er+9973uGYRjG22+/3ef1PRpfvfXRaaedZmSzWWPt2rXGj370I+PWW281duzYYSQSCeP444/v83ofba/e+un00083MpmMsWTJEuP73/++8dvf/taIxWLGe++9Z9hstj6v99H2Ohib53A4jBUrVhiGYRh33HFHn9f5aHt9Uh+Fw2Fj1qxZxuWXX255TZs2rc/rfZCvPq/AIb/++Mc/GoZhGBMnTjTfmzJlimEYhnHPPff0ef30tf+1du1aIxqNGkOHDjXfGzVqlJFMJo177723z+t3NL7sdrvx85//3Mhmsz0at1//+tdGOp02Ro8ebb535plnGoZhGNdee22f1/9oeR2on7o+c+edd5qf0cPRkdVHK1euNGpqagyPx2O+V15ebrS0tBhvvfVWn9f/aHkdqJ+WL19u7Nixw3C73eZ7N9xwg2EYhnHuuef2ef2PltfB2Lyu189+9jMjkUjo4egI66Pq6mrDMAzj29/+dp/X9TO8+rwCh/yaPXu20djY+LH3m5qajDfeeKPP66cvMQYPHmwYhmH86U9/+tj/vfjiiz32n74O78vlchmrV682DMMwHnvsMWPPnj0fM27btm3rcZO9adMmY86cOX3+DEfD62D6yePxGGvXrjUMwzAeeeQRo7a2Vg9HR1AfBYNBI5vN9nhZN2vWLCMSifT5MxwNrwP1k8vlMt544w3jpz/9qeXvxowZYxiGYcycObPPn+FoeB2Mzet6jRs3zkgkEsbtt9+uh6MjrI+++tWvGoZhGCeccEKf1/dQX1/omKOtW7dKcXGxJQ6iqKhIgsGg1NXV9WHNFF3o37+/iIisW7fuY/+3bds2KSsrkwEDBnze1Tqq4Xa7paCgQL75zW/Kd77zHclkMpb/DwaDMmzYMFmxYsXH/nblypUyZcqUz6uqRzUO1E8iIl6vV3w+n1xyySVyzTXXSDab7YOaHr04UB+Fw2EZNWqUPPjggx/729LS0h77VJF7HKifksmkfOUrX5Hf/va3lvcnTpwoIiK7d+/+3Op6NONgbJ6IiMPhkEcffVTmzJkjTz755Odcy6MbB9NHY8eOFRGRTZs2icj+deqLBmdfV+Cz4J577pELLrhAnnnmGbn55pvFMAy57777JJVKyUMPPdTX1VOISDQaFRGRQCDwsf/rEmSorKyUvXv3fq71OpoRDodlxIgRvW6kuw60+/bt+9j/1dXVSWFhoRQUFEg4HD6s9TzacaB+EhFpbW2VESNGSGdn5+dYM0UXDtRHnZ2dsm3bto+9P378eDnllFPkzTffPNxVVMjBzSXGoEGD5IwzzpD7779f1q1bJ//4xz8Ocw0VIgffTz/+8Y9lxIgRcvHFF4vT+YXexn7hcDB9NG7cOAmHw/LAAw/IpZdeKoFAQLZv3y633367PPfcc59jbQ8dX2jP0Z49e+Q3v/mNTJ8+XdauXSvr1q2TM888Uy677DJZvXp1X1dPISIbN26UUCgkl1xyieV9l8sl55xzjojsv4lQfH4wDOMTDVvXQTYWi33s/+LxuIiIKjh9DjhQP3V9Rg9GfYeD6aPu8Pl88sQTT4iIyN133304qqXohk/TT0VFRbJr1y557LHHxO12y0033STJZPIw11AhcnD9NGbMGPnFL34ht956a48XeIrDi4Ppo7Fjx0pBQYEEg0G56qqr5Lvf/a50dHTIs88+K1dcccXnVNPPhi/04eiuu+6Shx9+WN5//3257LLL5Morr5SlS5fK888/L+eff35fV08hIul0Wh544AGZMmWKPPXUUzJu3Dg59thj5cUXXzQ32EotObJgt+83C4Zh9PoZ3ZArFJ8eHo9HXn31VZk4caLcfffdsmDBgr6ukqIbDMOQSy+9VK688krZuHGjzJkz52OXe4q+gd1ul0cffVQWLlwof/3rX/u6Oope8Oc//1lmzJgh3/jGN+Tll1+Wxx57TE466STZvn273HvvveYe40hHnwc+HcqrsLDQiMfjxtKlSw273W6+73Q6jVWrVhl1dXVGfn5+n9dTX2LYbDbjgQceMDKZjNGFV155xZg5c6ZhGIYxcuTIPq/j0fzauXOnJaBy/PjxhmEYxowZMz722fvuu88wDMPwer19Xu+j7dW9n3p67dmzRwUZjtA+KiwsNN577z3DMAzjr3/9a5/X9Wh+HcxcEhHD7XYb27ZtM3bt2tXndT4aX9376cc//rGRSCSMKVOmGCUlJUZJSYkxceJEwzAM43e/+51RUlKisut93Eef9LrjjjsMwzCMcePG9Xm9D/T6YhzfesCIESPE7XbLM888Y7nFzmQy8tRTT0llZaWMHj26D2uo6IJhGHLzzTdLVVWVTJs2TQYPHiwXXXSRFBQUSCaTkV27dvV1FRWEruDjfv36fez/qqqqpK2trUfKnUKh6BllZWUyb948mTZtmjz88MNy7bXX9nWVFAeBRCIhr732mgwaNEiTlh8BOPfcc8XlcsmyZcukublZmpubZdWqVSIiMnPmTGlubpZBgwb1cS0VvaGxsVFERPx+fx/X5MD4wh6OujjADofjY//X9d4XxXX3fx3f+ta3ZPr06dLY2Cjvv/++ufk+7bTTZMWKFcrnPsIQCoVkx44dMnny5I/936RJk2T58uV9UCuF4osJv98vb775pkyaNEkeeOABuf766/u6SopuGDVqlOzcuVNuuOGGj/1fIBCQzs5OXaeOANxyyy1y1llnWV6XX365iIg88cQTctZZZ0l9fX0f1/LoRlVVlaxfv15+/vOff+z/uhwWO3fu/LyrdUjoc/fVobzsdruxd+9eY/369YbL5TLfd7lcxoYNG4zGxkbD6XT2eT31JcaSJUuMdevWGQ6Hw3zvvPPOMwzDMK688so+r9/R/urJLX7PPfcYqVTKGDVqlPleVxLYq6++us/rfDS+lFZ35L966qPHH3/cMAzDePDBB/u8fvrquZ8cDofR2tpqrFmzxsjLyzPfHzRokNHe3m688847fV7no/F1MDavK5ei5jk6cvpoz549xu7du41AIGC+N2DAACMUChlz587t8zofzOsLq4HY2dkpN954o7z44ouydOlSeeSRR8ThcMjVV18to0ePliuvvFID/Y8Q/O53v5OXXnpJXnvtNZk1a5ZUV1fLzTffLLNnz5annnqqr6un6AH33HOPXHXVVTJ37ly5//77xe12y8yZM2X58uWaV0KhOEiMHj1arrrqKmlvb5fVq1ebt9wMtYF9j2w2KzfddJM8+eSTMn/+fHnyySelpKREbrzxRjEMQ2666aa+rqJC8YXBjTfeKC+//LJ88MEH8pe//EUCgYDceOONkslkZMaMGX1dvYNGn5/QPsvrjDPOMObNm2dEIhEjEokYCxYsMM4555w+r5e+rK9LL73UWLVqlRGJRIzt27cbd911l+HxePq8Xvrq/XZu5MiRxuuvv250dHQYDQ0NxqOPPmqUlpb2eX2P1pd6jo78V/c+uu6664wDoa/rfDS+eptL3/jGN4zly5cbiUTCaGlpMZ5//nljxIgRfV7fo/WlnqMj/9VbH1144YXG4sWLjXg8brS2thqzZs2yMFGO9Jfto4JCoVAoFAqFQqFQHNVQxQKFQqFQKBQKhUKhED0cKRQKhUKhUCgUCoWI6OFIoVAoFAqFQqFQKERED0cKhUKhUCgUCoVCISIinyjlPah4vFm2i80styejZjmQ7zHLLYkOfLEdyVkznVmz7LDhPBZ0+cxyQ6zdLHd2dlrq4affqPQW42/ibWZ5gK/ULG8P1+G7DOhNDCvoZ5ajmbhZboyHeqxTKBkzy568fLPckcTfioiMDPY3yzvCSECWyKTM8phiZG1e17BYcglHXpWIWPsi32HtWju1O9crksKzVAWQATyWQcK7ovyAWa7ILzTLmzr2mGWbDeOjxFVgljvSaEMGjw+uj4jIcH+VWY534v92dqBtuZ9SnZBsH+QtN8sZA+Mu34b2qEvSuHFhPDWlMX5FRDY3Leux7ocCn6faLE8tHmGWa1MY9+2piFl2O/LMcpqeI5pKmGXHJyQ5HhUYYJbrk/iNEP1GKIF5PCCA+TPSi/Zvy6L/eO5uaN/V4/ujCvC7Hntej58REdlAY6fcHcTvpdAHVW6Mxwbqs8GeMrM8f99cySUC3iEi8vExObZosFmujbeY5ZY46vulCtjL91s2m+UiN7KB93NjvNVEG8xyQR7ZHeqjDpqf44uqzXI0a01I2ZoMm2WeW/x79dSGHofLLCezeFbupwpXkVneFqk1y+MKYMuWtW4zy2xr+/nwuyIiO1tWS64Q9A0zy8Vu2JqyfJS3dOwzyx4nbHepC/aL1zQRka1hPCPb+3w7bAe3bTAP/VrqRDlhwB6taEH7VBdUmOWGGPpiXCHG1q54o1mOZ61jMJlJ91iPfrQmbgvhGaaWjDTLHzRhPE4oGWKWfXaMAxGRhbXvSK7gdmOcZGkPUO4L9vRxy9gro3VmRwR2P07zstPAPoHXg7YE2VHq+yof7ImISEke1jW2kT4n2oT3Ely/0YUDzXKyE/3ipXnVnoZ93UHfw32Xpb0OP4+IyGAaLyn6jd2t6ySX+PdBF4uIyOzW9fhtH9bRUAZrQIXL2nclDi/KdrdZbunEOjW3Cd+bydJaTc830oNybRr7MZ5722h+lnowPrLUbuEU2pzbWcTaf2xXzyodZ5bXxWA36qKtZjlJ444VzP6931SzvDndbPm95XXvSa5QFRxjltmG8dirCWM9+aS9QRf6056Z1xyeP+OKqy1/wzbJoJbgPqiNYn3k8e1yYj8w0Ic1nP+2OYm+5/0Jz2Pu+xLam4qIrGnZYZb9veyHeUztacPY7I5PPBw1RGEw2LBnDWwIeFHnMhuV0YXYMG0JY/CFUph0PJCHFOKw0R2b27CpGh7EJq4xgbryYsgLNmNPBwZykQcLWyAPk50PdXwgHBOE0RexblRGFKBOG9t3m+VNrbvlcKHr4BWlA02YDLOIyEAPFoZNIbRhPz8WVt7o8TPyc8SyMHqDyIDypnZbO4zYwABPQPT3MQVYXESsi1OM2nNvHP00nNqWx1GFB5u4NB2UAg4Yaz741EYwef1OfIYNTa7BhmR9B9qTF/vji4abZacN82FR64dmeVgAB3wXHT54Mygi0p5B/+8io3lqOYxsqxef4TbfkcAGrSWBTffwANp/oB/GjTcEK5q3mmVPHt7vvlCVe7DI8saS26k1DSOdR8+6O4H+yzW67EW+I0/KvajjrijahA07XwpsiGBepWgjWx/BRjiWTvZYDtNFDG9qeaO9M4pNItspEREXHab5MoMXi+kV2ASsbMf7VV46hCZQV5sNCxVjcfOWHt+fUDykx/dFRHb2+j+fHryx4UWzhfqCDww+sgNrW1GTY4JWG8SLNB/Y+dJiuKfSLC9rw8Gnlhb+fh78Nv9GUwrtyfOHj2jJLMZNPG09HA0OwN7yRo/XPj5AN6Yxd9kOMzZH9vb4fi4wltaQNlqPOumyp5Y2oHy55yD7NzKA/QBfkvBlbJrW6gEBtG0sg/VqRwh7EhGRGhvsYqkXB+vONL6LN3eDCtD+H4bRbtwXvGcYG8Sht9JX1ONn3GQ7+cJWxHqAznY7OOUS8Y9sTJELdmN7B+/fMIZj3S5lJuWhrV8JbTDLXyoYZZaPL8a6trINduckX7VZnhPaZJbH+vF7fMFm0NoXoX0Irz98oBGxHpr5oiiQh78P0XfxfvGUktFmeVMU/c373FlNK83ypeVTLL+9XHKHYD7WyM3tWGfY7vPho9SNAwSvqe3JSI/vt9LeL0j7Yb4IFLFefPMc5fnX/RKiC7yn2RrCfmUQ2TVeB6sLYGsTNO7itM/dnbbOmQIX1sV2OlyNKsIZZE+kqcf6dYfS6hR9Dj4YKRRHAvhgpFAoFIovFvhgpFB8WujhSKFQKBQKhUKhUCjkALS6IeTWYjoVu/7zyFXWSB6ASrp5Zc6qjUgE/jzQHdhdV+iwUkbY9c8UOHY1c6wJ009iFKPBMSslHriQ2TXJ9WNXY3Uh2mITuTVFRI4rgduYn3UE0QN3R0DL6cgxe6vLFZwhCk6Fu8jyGaaYseuY6TlMV2GXK7dVwInP10RASwi60C9ji0En4Hig+gzGRzH18Z5Oq5tzc4g5q3DXbsnCFcv0Mo4t2hzCWCnzYEwxfYMpDuzqZZdzrnEMURNaUqC7RNIUQ0T0jMVtoC7xfGN6WgH1abxbjEyJs+f+aKfxyX3scYCetJEooFNKER8V64Q7uzIPbvslraDSMc2MaTJDvZg/IlYq0c4E+n9PGPPkxDLQGpqJFsl1zTW64sFWhaxEMKbCMPWM4xKZPsL9Wkxzg+N41rThN9juLGlB31vochS71By3Ut6+W3aCWX62DfE9xTR38+gujKl0hTSnd2fQ/pOISt3hQt9vJQpnQT5uZ3dRDJXXaY1lySU4FqOIKC5MIeR4hgTNn3EUO1bstN4s5xElLUzzhG0k0xGZvh0m25l1Y11qpXHLXP40xV402mAXOTbUTTQZESs9sIlpyETPjLsoRjPcc4xmUxz2Z1LRUMtvLAz3TJk8FNQlYHP7e0Drayb7l0f8f7ZhTK8pL4Gt2UeU6HyaG5b5SXS0gnz03fGloKuKWKlZbAuZdsP2luOGJtOav6plu1n256OP9hElnNfBAdQW69pqzDLbSxErVYnHy+FCFdkmO9nx3THYhAjtp0SsMSKNFIaxPK9n2iHv2eaFQRfnMby4FWNwFIVkcNxwiGKLmEp/Yfkks7wgZB3LTEPfE0Mfc98EnOiD9RGsg1xvLn+9bLJZTtA+JNfg+Hqey7zOlFL8JWNvB56VwyiYbt8bWmJhy78HekGj3EmxgP29GNP98zCOuG3XhGrMMs/7xjjGDe+ZP6QQmmMoZp9DdrrPC6by83yq6cCzsq34JKjnSKFQKBQKhUKhUChED0cKhUKhUCgUCoVCISIHoNWxegq7xwYHQFlg1zQrarCCDkumVnjhctvbi2rElrhVeWtSCaRbWS2FZQW95DId6Ydrzu7Hb9eS0s04i1wxnvPUPDybzQvX+dIs0bLyrcHaW6NQZ2MKBrtfmYJhFYz+7NjSvt+FPboI1C2mi4mIhOgZB/jhAt3ajrZm2g73Nys0dRL9oH8QfZkVPOv2GNytJ/ihYLWdZGa3JuDmZBU7EavbmCUYC4lCsyVkHSNdYFpDGcmOstoZw2NHvxi9KBvmAmVEc2PlJnb9riMVO1ZEKyPJ2cVEuTqjbKxZruwmILCFxuQwHyiIexOgelwSgHLd39tWmeXTSdVsbxLjnscEu7aZEjaCZO3Zlb0pa6Wisnv+WC+oE0yJ4bG2L4p6+4iOm2t8GNvfbkwrERGpJpvHcv08r+tJjezLJeibHSm04S6iqLDcNc/XgSQvP9QJStHyBPq0OzVgdyfGFFP9BpJyV3MWn+kg2hjbebbPTHdkW1ZJamysOjSAFNhYGjbXiFB6gAKiwRS6ieJHlJEqopKwUidL2YpY1cx4HDPNihXjimlOj8sDTXFOFDQrVir0kW3y5aHeUVJcurToWOkNb8VA6bswcIxZ/qcN9CQeR0MpdUUxyY4vbwENdkP48Kmo8hhlKl2Q7HijUAoPsr8DqZ1rSZ1yailU0DjFwXJSyWRFTlbsG55npZrPjkBdbagfbXVuCezfq02gqJ5bjr7ZnUK/lnsxR5myyFLEI1ktiyhd/WktNj5BkW4QqR6uqq/t9XOHgq3J/fWpon3NzhBs3JVVJ5rl17pJHzfFYPO+VDHBLIdJyjtIEt/9S9EHbhqrW0ghlal6jF9lYYOfDmK+JandXqhbapbnFp9s+fu/0xYg5IYNYZp0OUnIWyX8Ue5P9MNXW9aYZZbkzzUKaW/Nto33D5yegSm1LJ3PCnOsBscpV6YVgkrvDlr3kU5aF/MDaJPznJg/LTbMy1UG5i63z5Im2CxeabekQce0KClTqopBftgG3r+KWFX6WImYabO8L7EGI1ihniOFQqFQKBQKhUKhkAN4jjhfBt8ac0D0hxQAP7IAt2186ua/5ZvhMrpx4WA+EestEidLPKUQ3pz57Th98k1lioK07gvi1uNYN57nabrNeJkSf71BQeec96a9203oCQEEskYph9DGNtzE8Y0SBy7jjiQ36Dph74pYv7mEAvR2U6A753Q4sxyJKyOUcHUZ3S620XOM9eEGbCO122l+9Mt68uiFqT3Pr0TwooiIWz66lfAMkOfpxufCEtzQ+SkI891YjfQEHwXhcbArB2ryLQInk+Mbcc7nICKymG6APyvebd5ollkogrX4OU9BLIPbRX8B6v5v5ceZZb7FqQgMl3c7kHeFg2B5HNdF4MVY40F5RhA5GhZ14n3+HhYBGB+sNsssQpLuJdgxnknJj8pxk7fLwM1iPXk9+FaIb7iryMsSyViDgnOJLu+hy5FnEZeojeEGjD2vuzowrzgXwwgbbvrKXZQcMR9/25CFTblccIv3iwhyZ5QWwhM90lUmt2Y+qpO3XP7bifq5qZ9Oott1zgm1qhnjmZMEnlqGm/ZyO35vaxp/W0D2ckcc9pi9rcV0u1mc77fkR8sleM5ykDULyrAICd8McwBvTbje4m3iHBmcJ469hl/3gMXwoYHPPN28wixPDmJtKCpFm6ymwH2PD2so26ZHm2AHRUR+VHaSWeZg8aVp9MEQNzx2W2PwfpWT55zznjG655v7ILKtx88dCgb70G4sPFAnsC+cA5E9QV1sCBGRGf2mmeXNWdigEjsJGJBwzOYI1iX2UG9KNVvGJHtJN4bwfpRs0HFF6O+rU7Dbe/LQtu+5MI/tlJPyXRIEYCYN74265+XhHDEsmuLqhfmQC3QJGr3bCK/QySSG80rLWsvn2Xb8uvJ0s3xHI5KesoiT3YP25KTIx5egz7hNbqK16NYbsbafcj/2e3cmML9fc2N9+07VyeL8yNgDCTAAACAASURBVBfxjIi8ReN5Xz3YB1+vwDq6jTwu19kwHr/XgfXnV/3OMMv/1fS+WWbPTXE3IbFcoolEC8aQOAF7tbkNeb200drAolND/VhzzqXE2huz1r24m/ZgK0ioiJMWPyTYU/FelxPC8nxjoZNCsrtnBuERf6kBmaLYNrMA15DCSotdZJGw5gRsBefC7C33aXcckZ6jg618X4EPRkcqSnpRLjlSYB6MRCwHI8WhgQ9GRyL4YPRFgK0bre5IgHkwErEcjI5EHK6DUS7BB6MjEXwwUnx2HOljsrfkmUcS+GB0JMJJJK23cnjQP1rBB6MjEXwwyjWO7JGuUCgUCoVCoVAoFJ8TbCLSq5tmUuUpZrk23tLjZzgYm91d2U643DgHDge8MR3nOA/cmcvj1uDtcR4Ee21Poh7rWmvMcgUFnXEgKAdoHeOGm/9PY+Bye2kdqAX/tIOCESFK2PJWUCK+UobAQxGRFD13moQJGinHxT5qv/rQJsklhpRMFBGRtgTlZfJXWD7DbsztHaBecFvxZwb74AovoWDeJOcEIHf0gmY8E38nly/uB1d2uNMaCsfj6DQ7XMIxG4bnDgPjZU47fo8FPzhwMUm/0Y+C3DtInILdvt3bbHXDB5IrVBSCpsC0IKYlcVBwWxrubw5gHp0HWtamFFzqn0S7uMAJ8ZE7Gxbge+nmnClJfIM5hubeaOKMlHdirLxpgK6wtmOXWebcY9GslQrHogbXVID6+pf6ntv8bAqG3hzH+N3WvLKnjx8yXK79toDFLkRE6imwm/O5fa9golnun8U43OdAvx5DQ/1fLrTDoijaigUnppWAWsCiCMOIPjXIgXEuInJhHDd8txqwVRzczPOEPWNforG5KQma4A8dEFOZ48Tce49uZFviPcvLMFVCRKS2fWOPnzsUlARAx+Gg9wp/UU8fl2bK1XEi5brZRsIxIlbxhLsrQaMZl4TNyyf7/poHd4sbiO61IYr1a4QX86eJ1gOmaXIeM86Hdn4+6DMiIpsEz7o4AnGGMlpTOdg/Srlj2A5XUw4opuKIiKxrWCy5Ats8pucyzZ73CV8uxpxz0FitI/rpRCds058aFpnlY4JWemAXmObO4gciIlN8aN/5IVC2bi3AOvXHGEQbLvCDrlpqwP5NT2KCL3ZhTYzR1urZOCh2nKOH7S6LD4mI5FnWY/TZsroFkkucOeBsEbFScDmv5QUFoN3WdlrFk2pSPQv2cKA8i5tc6sHc/RcF3zNFi3N9tRO9dboP9uj3l6MOH/wVn78mbbUzwyi/XoZ+Y3HTZrP8SBnm+o+jWE+qqc2Py8NalhDMpQXRGrPMuYhERMLRHZIrVBZiTSijPS2LC5R5sAduTcDmsRDCACfW8Hba316dwf5oVj7afGPSGqrBORo5F9lkypfWRvt6prmdWgx7sDqCte80sue8Ru3N4rfWhvB5L4VR2MXKoOCwgQCtQTyX8mie7WvD/O4O9Rwp+hw2ObIpQgqFQqFQKL44GNYt8bhC8WmghyOFQqFQKBQKhUKhkAOo1W1qBz2Ac8+0kJY/iydwPgmHk93ooA14iP4z2AO6zy1ETXvFA+qDiMi7Wbjmip2oB1MfVtjger8ugd/4VR7oDlGqx883wWU6iKTcV4VrzPJoH9zBnN9isM1KGfGSG/i/m0FLYDUQzgFlJXN8dnSpHXU44M5kGoOISEsKlA6mGu6k3B7FpDCzKwp3av8izheE762jvC43U8B9iNzOjzQuMcvNWdSvzIF+9HcL+lvUCdpSP2rrYVR+ieg0JaT+xnQApiywC9jpQIcPL8AYXN2cO3W67mBqD1NAeVwUkdrNqmZQl77e73iz/HrrOrMcI9rMCaT8s/+7EKi4ywbaB1PpphTAFc40lhNsGB931L1rlv9nAtziDzVjPsxIYN5fmgCt4bwgaGAvUz4IEaubm2kKo4kec6qbcnukQRdixctcY/pHdLqGjJUuxvQAzo/DdJkBRN0818Czf6cdKk5M/+FcSkwvYmpiiQtjm6l0L7Qg/4qIyOM0Fr5dOdUs/7QKc2lHHWhn/+3CfDg3gzFxNlHpXGTbRwnGU6cfykYLDYzTWqI0BA+j2AGvOQMCpE5Jawirnw4tBLVtRwz9OJhUtERERlHuux12zJntFPN735Uob30UdmtGEP2X8aGPG9rRZ3+gNtnchrX13EpQM8fa0d8PNIE2JiISpz5+oILUszqglMf0q94ECEoobxorWeYapS7YEaZcFdDaxLSgDgNtvi2O9ecyL+hsiyjf4MhCrM9MVeYceJz3rjuFcBnRWpnevNGONSRD9f4u0boHnwB7vmcZ2vPrXrz/7+1Yf4YSJXYxKY+5nT2rLYrsV8zsAueJyjU2R/e3l5+C2y8uAMXxr/UYh5wLUURkqA97nBC1zxRSD3yhP2z9L5rQtjw+2V6wLeS8ka+2Ye3LPoVcVFkP+uirHtDPrjOsVO6bSLFxYAHm/tw8tHshKa2xQme9gc+caGCOvkz5d3iPLCIS7lkg8pDA6yUzbdgWxkjF9ZRizJkohRewguLtAagH7yJWvt+Gf1TmYQ6LiGwimurkEigUM+2N1aLfKsRvTCAq5I5nsM48T2tLmqioBU6sp/2KMe44G5i3Wz7PGpp/a0I1ZplDFj4M75WDgXqOFAqFQqFQKBQKhUL0cKRQKBQKhUKhUCgUInIAWh2D9e05eauLEsKyWhp/nhXEDHKbldmgOrEyC1fe71pAQxERyZCbjrEjAJf8d/1ws27PIyUmB9zZv6yfb5bvqJxuljcI3MEjfHC/TWFlnHZQrh4iJRYRa3JTrxPPVEb0BVYqyjXq4vupBhVu0Ga2hK119PaSKHVkEVQCub4VROF5qW6ZWb6AnpWpd4/T8zmJJsdJ/ljFpIgS+L3QZFUc47HDrur2ZM9UugFePI+HXMKbsnCfMq1uAFEc2EXtsFtdtD2PukMDJ25z2zFnEuTyThqguHiJDsIKiEyl42S+dSlr4rYPQlDjOb0Cc4MTOCcMPGGc6DXNpE7Iyi7+gfh8tBkUpvsdUDm6kihdSxJo/0y35LBMEfKRGbrEBXf7Ix2gUTDliSk0uUbTR3Q6Vv0SsdKCjveAznNWCuP4FqI3tXsw3k4uAcWBlS3XtSCh3rRyKEK91whqItM85lMS5KtLkChRROSVKOgSwwyyQRfChv39cYzvtxrRtpPKkWTzuoFI5he8BnTO9T9DQsRTM+iv12hO9g/gt5rjh48GxOqnLaTKVEzvTy1lWgnGmt+BecWqlSIiU91QdZqYxjOefwIocPk/fNQsn/PP68xy6Zfx244vgfJW9fpsszz9FdBEbixGDqNJl2JM2Pvhe4Y/YM0NtsgJ2kwhseHG+kHji5EN4eTYvAZv6SVJaq7BCoxMZWbaFKsajrFTUngn1pMNAsq8m2g0MUq6PNQNmlRBMebkmvad9HkrzWq0F/P4Bw5QnefQHqUkHzbW64Wtdt/0HbM8YjfmRuy5hWb5W2tg8xfb8DzHFlab5e52m8FrVkk+1uadPX34M2CoZz8V8wNScBvkwlxmKt0ZhZhXIta1icfVXR4o/q3djfZsdqEdvkkJzZ+uR67D+8pOM8tTKUF4nhfz5CGqQweN+e8msHe4KFNjqStTJ8fRnFkYQYtWUuLksQ6Mx7Fk825oetcsn1E+3iyv6bD+Xi5h2WdTiMRAP+YvU++YFs7UWd5b/UfDPLNcQnsJXl+/W4T9noiInZ73OAf2m1cFsc8ryqKdJz1xqll2TjzbLI8Y9r9m+eyfwb6uJ5t1xbnYV0x9BfNkIoXjnJa25jlanMZ3nV4MiuV77VCj7OeFHW6DafkY1HOkUCgUCoVCoVAoFHIAzxHf6hTTzUWXp0LEGlDeQbdDnH8insGNy21u3JBG6AKYb8XuKcVpU0TkNcEJ8t2m9Wa5Nop6PJSGd8PtxCk7nwQgKn046TbbcAtxmwM3ULd04vPzUxAr8NB3XlaKGw8RkSEG/u9ECkC7vQ4n816TSeUAo/37T+1LmnE67u+3Ztve04FbvFMLIXixJYkbcr8dp/ZqG07kJ5UhEJ+D9aUI7xeQN4RvcnanEDx/ohs3dfsoX8LppWPkrQYE7PsoEJJzeAxww0O0LYIbbvaS8a1AJos+zqNg3C4BCxGrTv4wCtwWEdnYaM239VnQnsIVRSSNsV7lRT8ta0VwOwcPv9uKnE6/p1s19my9LtY8ZCwOwLeTnTQSx9Bt6RsJ/PYLFAzNt202J9pqRxY3U6vpdrbGhb9lTx+LGIhYb7PWZDA2z3UgwLe2o6XHMucvsGbd+OxYT7nTTi2DrdoRh5c6Qh63Rfl4jg4KwN6QROAqB4UXkR09kebVdAduvsdXoe/mJzAGp5NARUo6ZQjZqh+6cUt22WT8jX3apWa56m/IIXUu5WrjPEzBGRhf6Tn4/JhrME7/9RfYeb65bE0ePu84o47s/tggbuc3UIB3lRv13RfD+EqTBzOatnoS2r2Yo9EC9I1rMW5F0xN+YZbPn45x4Djvq2bZXoJ+cp6IcXPiK1i7ygdTWzmxLrW/iHlYlbZKEe8l0aH/MTDPrnCgDfbY8XyrkmA7lLkx1znQn21+rsE30E6hPCN0w91O+4RZEXguGmOwWXUu9Hd/Yj14Kc8ei5i46fkuKoXYxTthrI8iIs+egPnq+jLWxFEPoR7fSKIPqr6K/raRgED4UXiL/r4Vfb/aBuu0PQX7xbmX+tGehD1FIiK+PNiN3vJM5gIDnPu9BuOLq/HbxMA4rgDe/NearcI6PJ/YFvwgtdYsnxiA8M8JgvX8D+1gjJxFHom3BX2/ktrgNi/aJxHFGJqRwF7lGQ/G3LkyShYReyGawT7vVBtsbNKNfmXP60lJ/EaKso18rRJeexYR4b2wiEiD5A67OzDfq3yoeymxfTaEMa44Zxbnr0zQXtxDXhr2ILNQxtKMlUEx3Ak70iBoq4kZ7P8mlcDeJh5+FvWoeNUsn/0PzL128g5WGhgf//kUPLKVtK/j/eXgjDVf5ksBPMeCFLxhq2jPx3bjk6CeI0Wfgw9GCsWRAD4YHYngg5FCoVAorOCDkULxaaGHI4VCoVAoFAqFQqGQA9DqOIh6awg0pjIKhuc8BccXQ/e8NAjqSyVRtJ7LwuV2jB0uumcbEcw8zwtXs4jISA9yN1xfeYpZnhuvMcvsKjsxv7LHzwRd+N4I5VbxBuCa+4860DFu7IRL8UuFoFk0ddPPT9t6DhAPeuBmZbflqvranj5+yGj+SAyB6YTxrNXdyHkE8uhMfJ672iy3kpvUY+AzXqLMPRSCK5yFECbmo49qUqBBNCRAq9tE3+MmuuM3K0+w1HV1Au2TIgrTENK9/5AoG0x5rAljPDJNjoUXOJCXEUrnMDFBNzRRgPoZZcghMZcC45nCNq0ENKl59JkXiE6zrA0UnNGFoHOIiLTTs3SkQUeIEbUgHkAbcvvUR9BnrxSBZtWwBnmtfET7Y7GP4/zVZvlLPrjI/5reYalfmOo30AF7slbw/tVVCEhfEANtJkD5OJZF0Aa5QJfQx6qQNeyZc4OxqMyUNMZxTSn6dXkYz1vlgU3hHCz1McyT8WX4zKkpym/iwrwKEZHytibkUxMRCW3/F+oXRT8ZRKdd4YRNWEH53P4wGvM4uwx0r7yzIdSw/IcYg2w/WijPB+dpqQ6g3iIiG+O7JFfg794bx/MxXWt1G7W/D23L+d9u6RZcfkMjaNAvZ/G8812grhxLYhzXv1JjloNv/t4sXxs41ixPSGKsbKPvmVJDc6Ye4+D2Wti4Io+VjN1Egke83i2kYH+XgTa4oGKSWf4gjHnCuVG2RkEdzzX4d5wkpNCf5kM8g/lwjh+5cbZ6MIYb0xhjYRL1YVs/rQz2Mp9+a1kcFNMbC9AeIiJ5Q2is/9sPzfLv7v6xWb7vbPSNfQD2N5E7EFD+yoewvTudWENXxbGODXNhjsUKYIO3teMzLNojIrKxFfSmIndADheer9svhnAy0Xw3JZCNkfPKnVhszUHZTqImBSR28r0Mnne2Dful4bQtYXGhAhvW8EURzN0ptJ4EB+J7Hvkp6MLbr55llnensa+b4LLS5FcbaOtHY6BOJkkU6cwAnu/pToy7b6fQ/scJ9nW31cNmsHhRrsFUOjfN/W00f3ujq2ZpH8/CP5tJQKMjE6fPY1+wPmzNlfb6TdhDr3gE75/Z+q5Z/q98CNJ0QmdDZpFYwt9oPKcot9tvyV0zrAD9d6eA2vknA3Nyax7GjYhIbRz/ftaOMcw51/YSzfqToJ4jhUKhUCgUCoVCoRA9HCkUCoVCoVAoFAqFiByAVldENABWuGHFmAZSldkRg5t7eQLKOv3IJcj0nfY8uPI85B5jGp2ISJjyVGwnCkGGcoaclg/tc85Wc7cNSilPOOGSLxc8z2NtUIpq8MAtXpaGu49VWn5TbM0/4SL2g5cYdjsDyJuxsHmTHC4YPWjhJTNpy79Z3765E+3eJnBV70ujLwflo8+2xOCOLnGhTRirU+j7mgjKgXxQoJgeMcUDKsLapJXawZTADNHqNhn43q8WQ93mmbolZrnYgzHbEAcdoMIDd3BjHM/Jqi6BPFBBcw3O15SknDlDyXV8jAd00FfrQDPlvjuOcm+tcdSY5W0dVqomKx89VAE3912Ui6fFwLya6gWlYxzlFLo3C2rpT0KY95sMUB9OLgQdhvMJzE5hbH2rwpqX55007MPs9g1mOUU5zXgM22ywG5w7K9fooh2yiqGIyC6iDxfSOPmbDfSF7R1w47NCJ1Ppri4HhbSALNVYkkPaRloL/z0SFIJvf4gx9EoB8uSIiBhhogqQre6c+7JZ3kMKkTcQ9au1HvOhaAyoQ+E/vWOWH6fcYIMM1LVCMK+YFjqA7IeIyEbJHTh/Tn4vVBaeb6xud2cpaNn/kFbL3zCtiNUJmVZU5R1mlm8uxzpQJ+jvZ2PIObWd7NyeLOzfHWEoMV0xD2NicxrPxoqOItbcWycFQf/5Z8Mqs3x+BdTZstQfE/yY3+82oze6z6X6kOQMnGep2oc1fUUznv24UtiONyN4n/us0huk99EXt1VA1fbsNNa06zoxD8vzsF5Zs9iJGDHKMXfvrWb5tXZQrn6xEfY5kEC/hvaAQrbRCZu1hvqPc6NtT+L9OqLTTigBXYjznomIlNBa1hzPYcd0Q3c6n4jIYKIBsiKd02a9Tx+UB7rSG01QqHOXYl5u6IAwQoMPtNQbypAT7/U4nv3NcrT5NWGsE9XvgeJVP/E1s2yQPap2oM1eDWFdERHp54ZN+jc35vFfwqvN8gqi9LekMF//dCzW3dd3Yr/4tX5Y195sBhVXRMQafPHZkMhSDkRSXmujfTaHF4yivEOlTtAAN0RAbWNaI8/PLNHtB7utKrObHkc9Jl2MJ/zxbOQNLSOz9S/KV7a6BeqZv6lEDr1rUqj3n6fB7s5ehL17mNb/IdTHd5LioYjImRT+UmignZppv8F7WFiKj0M9RwqFQqFQKBQKhUIhejhSKBQKhUKhUCgUChE5AK2OVa6YcrSsCe7lyaWgYbhs+DpWLjrdB/fY/CjcpzujPTu1zrJZE5i+ZoOrzU1KNBFS2FiahorXy1OImtOC89+eXXDp7nDAVTwmjc/8i1J3baXkokVuuCZfFmtirCJSaVmdhAs5RbQITuiW6lks7ZDR5b5Pkut1cslwy2f2xXtW6GjOghbEVDpOAtdCKkl2D9p/K9GFOknhxE9UupJ8uDBPdcHVOzyLsfKvqLVupxRBRSpGSjJMrXqpEe7UQlLiY5fpjjDGV0EA47fEjc9EiY5Rkm9VBLKSHD4bJhDFcm4D6AenV4wzy68TPYbf574YkUH731kIOs5TnegLEZFLHBjrvwwt77FOj38FbZvtgNv5nbmg991JY/3BfNRjpA3UAk72OIkSBrL7u7ueIyfgZCodK5FVEmVjeTtc8kyVyTVOK96verWofYvlfVYLakyChnZeAG78Dhee6U8uUFVGBvH5F+MY9xfaQdt4iZ7pD+3or2fXglLksKG/Tnvz+5b62UtB39o0Bcpbzwj6YKgdNuzyUlBZff3Q/p27YL82bERfOEg57fkE+mJ3BHaXleB2JPB+rsHqc7VRJMfkJJQ+sskisC/1lCS1v/iE8SZRTq4j2uEHnaBBjSK71UZXizeRIpeXqHe/uRaftw+CXXvtx2jbe1No81XNUJX7ciXqICJyHtGfVmRBL7uoAonHX24AbbaC6Ghsh5mudTjB9np3DONhACVqbEyCLlYbQV9yHcf6sG5cHoAiZJSsyuWpGrNsp9/9Xh72Huf6rOv286+iHm85YP9uKISqXeFkjJ0PX8MaEs2gX1/OgDLP9CdORpsghdQJhdVmeVIeaEsF5TxmrUphTG3LNYKO/c/FyoUjfKC2TfBiLelvt1LPd1ECzzNIrXNVR41ZPouoTs83wLadUA41zAcF6+OQ935rlmf/8edm+fePYF3a8Rxs59dIdW2KD3NkcgBrkYjICLJ/t34De9uhT6O/70yCivdEHpTdnH7sCy0hBFGUeR3LNdJE0YxlYGtOKoVNCZFyIFM6WdWWlWWZkuylPQYnoOcE8iIijUSj3vcyxsLSPNjIIgfGdIUNY3okUf04FMRjp/06TdG1+fhMAVEn9xE9vNhltWXF9BwvNCwzy7wfrk0cXEJl9RwpFAqFQqFQKBQKhYjYRHqI5v8IVUE6OZOGOgd78wm13IOb3n10C2SnG8XjSxCAuTmCG7MQ6bL391s9R5wj5tgi3AaEKOfBdfk4Gf5/s7+L367A59dMvNksfy+DIyrn0imm4LXlrThx8ymbA49FrKdx9phxQPmIIG5fNjfhRJsLTOm3PzB1bSt8HaeXjbN8hk/qHSRwMcyJm4CXKNcUY0YFAo//1oKbH86DVUK69U66eXjeQ7cF1GwzKIeAiMjKlm30OXyQvVBnFmM8bk9hfHEgq4PG6Y2UE+v3tQvMcoUPN6rcX53d+jVKObI+K/LJa8a3GAV23KyspNw4nGuAg/sZGbqpGllkDazmnE3lLjzvtjACTi8sRfD2QxPRnssX49ZwhRt9udjALRJ7IToo/04+3bes+YTg8nVtNWaZ7QPP7zVt6NfTStH3Wboxnrv3LcklnHn7xSi6G8WhlDOLBQHYW8I35d8vRbBxB+VU62/gZuvJBALQ2UvPntqzSyE88s0Mbv8v/gPeFxGRNMbIC/8Br9f6PPz2bafgljNKaaei7QiInRPBrd99cRLKoP7rLlbRhfYkxtyYQmuQ95K6+T3+zaGguniCWea8XZxLbhd5KmYEETRdRDeQjXarP3NBGu1T7IDduTiL+VNPXIvt5C3alMbN6XdsEDT52lh4o3xX4qZ8yS3ooy+3fWCWx1OAPs9VEZFLy44zyydmsOb4sxitO/PxfK9n4AmopxvgtiTGVyAPzykiUtO6VnKFMSQ+0p6CZ4ZZKLx/yFD5WD88CcfbsK9otuEzD9ej3b5KOZ2OI29pUSfa4/wKq/DPS42Y03e04Lv+iwSX6h0YI6OIYfKrFLxFSRIQGulD3++MY4/RSeJRvD7ujcCWsPCEiEgHsRqiFDyfSFhzz3xWfG3QBSIisocEmSLknSjOg60fk2fdmy1N9Jwrh+1Zbx6VkQXYE839KtbBXXMwtnfH8NtXJ8Cs+FkB5vRCO8ZWZzfLfVEaY2FlPuqxPotnvSoLmzc3H8/gIDu3O0sB/bRm/6MBDJZsN+9eJp27fJZDSrBWszgH78uZjcFMpzMon9ss8iyzyBqD17Ev0Z5LROSxM9E+9gDa4duvYG48VIm2+n0DPORe2hus6sQzDLbDg89tXk/5RNcnMHd5jx6gnE8iIuvJ+89gzyt7dD/J3qnnSNHn4IORQqFQKBQKxWcBH4wUik8LPRwpFAqFQqFQKBQKhRxAkKHCDcoV5+rggMdSD6geNqKYMB2KaXhrQzVmuSv4WURkTgoa8RzgLSIytRhUPM4XNLwQLuwTsviNzqZdKDeCmuP3wv29fR/cdPx7MQ9ceZynwetEOZK2KthXe+E6jFBQNn8vB2TmGhvb97vZObfHotYPLZ9JEDWr0od+zbpRx0IX6A7srl1EdJMLSkBp8VHmiFnt6L/HnOjXQceinZ9bjaDxsXlwbV5bCve6iMgNTe+aZdbub8jAXcs5rhhMcXw1CtoS0xq3tWMsV/jRFnk2ayaMaFxyBs47wJSyFAXw5pO7t5woFlGipw0mwYImytfUL99KyWC6ynSi9G3IYm48X7/ULAfXgIJ4KvX9t4Lo+2cbQJu60cBYW+GGe/3JBLyAPP63h6wUA6Y/MjUtksX84fxo2yjvzBAP6FO5Rtd4cNnzLe/v7gBNq7oAfcBUzDBRGbvTO7pwbytyckWI0sn5uZgSsT2Fvj9rPKionWusNvKlv6A9ZztRjwtSmNN/X0B0ryr0xx/iNHYcGDfn+GF3X25fb5bzyRaOp2DtBSnkh1nVCtGGXIPHdkE+xiHTM9vjsBWveGrM8qMu0IJceVa6zzYDfbAgBNrbJArQf5HEKGpjoKKOKwCN8AkDNu+RdVgrf34LuIyTR6BfT9gJ2ksr5eM4pRjvi4hUUG6+0UR7mutCf/Qns7iFAtWrPHjuDjvWyiBRpnINFstg+nIkn9ZIog8zTTvpQ9+8nYWwTlsGY5tFjk4Q7EPWC55vWxZ0x3earEIub7cuMsvHFUFEY7kDdX2uHhR4ptZXekmgJQaKUD3lYWJ6EteVBYEKaJ9U5rLacJ8T/1eTaZDDhbea9q/d44uqUZc8zIU00ZgXxa20pbFuiCRcIajvK36sa9+nNe5JoquuJVGRx2fDpkfpyv4xA/uYy4tALctwPsk0vqeAhFhsYvUcbe3E3NqZAOXxpjjWrHGFoHN+0w7a5ZNNWCt5b3RlJejTLzaD9ici0m5lkn8mBGgseP2Y74VO2HcfrVnvNsJevxjDGD6RcrktboK9tlMux5yaVAAAIABJREFUxV9UnGaWSzqtFOqGxXioUBj2KOvA+9EQ6sfr4CYD7c+CR6lCzL01JOQRzIdt4tyULj9+l88TIiL9aF7uJEGuMi+ouUUkvGX9ayvUc6RQKBQKhUKhUCgUoocjhUKhUCgUCoVCoRCRA9DqWGEqSLlkGqNwcdV2wHU+phguSc5Z4MuHq/PyUijupMnl9p8VUPJ5I2V13W4kVbsRhaS5nw9KVIaUZKQNFJj6O+ea5ftTcFuPDaKunLeJKRtD/XCrdlHXRETGBK1KTHVJuO6ZStQQgbt3YEG5HC4MCex3bbMiXXea1fvNcKHyMw6gXDLDCtGe20h96QIn6DjzsujXMjtcvdcXItfGtMtAm1j5KJ57oQuUiCiNrRtbrOp93+13kll+qhHqeOsz6INJhVB1qqWxeVJwpFlOkgrh+y14flZ2a4ijj4xe1Ftyga5cEiIik4uQe2MvjZ1SykUSIxomUzJak6BWuYlyGLBZaWD3OkDJ2daJufFYMVzms/Lg5i43KP/O02eY5YXfetssn+zB+HjcQP/9xIF+XeCCW5vBalUiInlETaiNoA2YzpEiygDboqY01LZyjbG+/dTPLTErDXAk0TIbE7B/TLG4Ngj6VQ0p7dSR0lGpG/ONaURTC0AtaCaK8Eqipz3+4alm+bKoNa9VG+W1+gflAKuowFy6NAVq7clbQSu5sIDyA9F92Zw4KJhMpWbluizZnGKiCwW70V5rKP/bZ0U/N8ZYnPKgNVH+qX5+fOZEN9pmfifmSf+Ilfq4w4Z1ZzjlefnvFlAhWfVoaAEoRbuIpuMlag+32wY3xsoZF8F+XfS/eIYhnajTHwwrlepDA/Os3g1bNTGL39jlxN/nEQ2sJoLv6u+DOtf61ho5XCggmna1H1RUVpmNk9ogKw8maIxFSV21lGiAW9OYA79phtoc099uLYJiHqv3iVjn4sYO9P12WgeYut9B9WZa93kVoHutiNSY5QDZr/o4bNxUL/YeSwVr2ppWkpAUa8gCP1NUcouu/cyOCNrHT4qC/V2w++d6rLmDXurYaJY3EPXreQdonCXVqPGabaAsjnJijzLfwLr2aj3s12CiMD/WAqW1wnzUb08HKKoTS7C2JqwsedmbwlrPa+0oD+bxWw1rzPIiA3sGzrs1I4g97FYDz8M5rnINVg/kfd7mNozbaeUIZ+A91KvtUB0N0drCypgNCbTNP2le/ZvTqoL7bAz9+isKf/hp1elm+Q8J7LseaVxslicTdZVDbfKIDv21IFRYAxS2sd4N6urb9eij7vtqzn16Zjm+awGF47TED27/oJ4jhUKhUCgUCoVCoZADeI4YHKzOwdR8M8a3U8MoLwhn9B1BN3cTkjhpl7hxmvt6XlDup6p5fLjJOTEPJ8VddGo/9gp81+YfItDyGTtuyV6iHD2svX8SBalxAFk7BX/yaX1X1HqjNyYAoYF14V3SEzigLtfoymi8lvL9NLjbLJ/pJI8W69vH6YauJoM+GJiHW50lRog+j1vOwQ7cKP1oKm7aHSd+BT/8KLxCZTYE6rV1YkycXjpGmrNo65fbIO7AmaG5DzjY9TvFuMnZTPmT/BSgyLcWnF+Lx0GR6/BJf9an0IYeB+rFAZUuG8b8VvIMcPDvWLrlGmaDx4xz6YiIvOnGc90gmCe/ysN9yFstCNp87FbcsDrHf8ks3+V8xix/vRNzOkmequ9TlvsVbfB0sNACe1hERNoS8KawWMbSVohoDC/ArS1/1+b2nnMZ5AKrw5hDfLPstWPscnB7Mz37wgw81nemMTcuT6EvG8jrzvm2+Ma5iQK8p5bAE1pLmcTvq62Q20bhprd/GnNjJHnXObfEDwReX8618mwrAomvL0b+kK94cAv7bBpzkj3i76es4jSMLo+2yCcHvn5a9JaVnm/Xzy4aa5b/Uvu+WZ5ejvcndPNybmuGDWO2A3to88mONiXQTwO8WGeqnLiVPtGGPmamxOL7MP73edBH4yjQ/EoH2k9E5EESO2HPRSd5ItzU3yyCUO4hgRe6XT2hzCr68EFt7nKz8FhvtKGtyik4OpzCDTKL7yyiYPEAeaD4M8WUW4+DtzkQ+/52KyuBb6xPKsWzLwxjTLmcWB+HktgSe69bEuTB98G2sThDA+WF+0kFvL4vUD8yE+DYYsw3EZFVzfhcIbEjco2VH/3O5FLk39vWgXGQpDX/QgfWABGROhKgcDkxpt/Pw3c174QtbMpgfahPo61O9oCNc1W/E83y9gzlw3Fjjt2VQX//pAzv70nAi/RrWScD6G9aUmhr9gAHAvjtr1XC/s1tg1esglgTJyTwtytcaJuBfqtQ0NYc5qNqJlszLIA+CNO42BrFerDbAVtfSKI1ccrJxWI6nFuyhZgZr9kxl0RE9iXR306yt8PT2I89ZUc78xr+9zLYptPiaM9lIYyJ8iLk56yinICcv4jnwp4w1tzu/7c5hvbgfSQzcXpfvY5Qz9H9B39mU/wfAB+MFIojAXwwOhLBB6MjEXwwUiiOBPDBSPF/H3wwUig+LY7Iw5FCoVAoFAqFQqFQfN74RBcNU1mYbjasAG69gSSKsJIoKePc+AzTd97wwu15xQS4973TQU275S9wy4mIbO3ELeTtUejef9MHyknLO3CvXUqa6IUUWMhiCc8UwHU7rhR1+kEb6DNTicL3WAwBlSP91rw8W8l9xzSPQRRMyHmico0ubf9JpaCOfRiyBkAPpT5jKlADUemYqrE0jOBQrxNuyNvcY8zymZQDx/Wtc8yyfThobq+7QdmZ4YFLNpvB2Crubz2jf3kz5R4i1+0YH4IDF7dCRGM95TayCdy77Eod4scYGks0yGISSmjOWD1Y2yR3YErgpja42wcGMMaylE+CA5h/4EDg5K+iCK58aCSoMq4Sa96bjcvg4veXIaC5pgWO5EUVoJPaR2EuJX4xwywvacZ8m9oPdc2jdvY70P6XloOWcHoa46bGaQ1+X0qUE6Z2HlOGfnq9AWNncgloGkw/WVaXu0B/EYy3vdFmy/unFqOtOGiX87mV0lj6tQ02LEM0DM63cFYhvvPVZnznpGLM4x2U36m/EzSiFzdiDIuIPG2HDfqeHe1TlkS7v9zZM4lgoBdjZSDNy+VOjBvO+8R2jcd1luwH25hco8oLWmMZtUkrzd/1SdBBqkicoSGNfllqWPMccY604/zV+C4S5zjBBwrO5iREGPh5y5yg/Gy2YY0baWA+bM5He24mkZsrqQ53dlqp0VUksvNBC+bl39tRv+pCzB8/0UeY2p6kwPFaolrmGv0on15jHO3DayTXcbgfFJzlqa09fqbUhfnD6zm3v4NytjBdiOk0IiKLyLZ9sx9oxWsSaM8Y2aaJXspVZ8NnmC5+ecXxZnkljcHX06AFTSaBkA9JvINFn0Ss1HGmduYaXb/itYPGxII5w70YUyXd0gsODMB2/NANQYBLpuB5T18EKhfT2bZSvsEzPNVm+YkmUCE5/xTP7wX5+N26WI1ZdhFlfXmrdQWvphyBpST8c6kBD1NBCuMlGkSetwTZihcpF9ySdlDCeKzlGpzDck8MdqfMDZvA4lIsOtDfj+eLpOE9XUIUx3yiWXO+0lDGmuzxci/WrDfzMQeubppnlr9UMV56wtY62OFyyge6lSicT9QiJOb7VRBpY9Gmi/thf1mXsQo9pWkNGpmHdeLtNJ6jtxyE3aGeI4VCoVAoFAqFQqEQPRwpFAqFQqFQKBQKhYgcgFa3NQR3F6udFQbh4ttCtI/2JNye80NwWbO6RgHRM2ItcE9mZsPF6vFY3d/3kEv6WFLY+F3tfLN8bz3OeddXnmKWmf4ztARuvc4k3r8/hPcvycK1HEzhmYcEp5rl/2iAC1HEqoF/ZgnUkNbEQPlhN/UnKWQcCtaG9ivkDSXqGFMOuv9+hBSmtmdBx7muFNSC88iN/BQJ7Y1IgGpT8dDlZtleCdpT5+LXzfKqLFy9Q977o1mO//R6szznn6BTiIiUOUFpetaHvrk3i3HxtTLklHm9FUpaTJ+rIMrN6ghUBE8KwFU/pwU0tSL34VOrK6L8HLWkJMNu7too3q/ywSXcBNaGDLWD2rZzB+o7YYp1VLUvwzg+cwtUd1p/ANpHaCGoKNkVq83yL/8FV/3JpOQ4PIsx9LsY2pzHWsgDusN8yjvTHLLSrH5ejDwMqx1og39RX55Xjvwhi8Kk8HSQeQoOBe2J/TYs1S1nRQvlh+D8Cas6aszyFIFKWQNRL9q9+FumRCyJgUZzPc29hWnY1CCNmwRRBt60WdtzsBN0o3cE1LE1adigXaTIxQqBLqLTrHaCAtNmYK6niV40wQ9qGdNyN5GKYF43dcJcgpUDdycxZ4J5WJeiadR9hBfrzz7KdXJcnlVdyu7FmrA4hPE2yIc5N6cd+TLKidJyZQAqS39pBx30lgLkf7tyGNrnBztAOTvbwFxfSvVpSVlpVitpDpxbibkRoTxATANjijFT5GvTaLNQ6vCJFLAyVrYTNqI1gTEzhHJFfdiBsXp2+bFmmZ8vSsppTFVnKh2DVcbK8wos/+ehcb+gAzS+EsqBU0JU2fVxrJUFpDLaRPNkHu17mL49npRd51POL6a/dxcxYVVTzk2Ya4L+1VUni4jIghjWSKbxtVF+pyecVqVezhe0zAHq0jsrYY+2tGNtOad8gln2lOA3piexFX2O1AJXtoPeP4Dyc/lpe7O7AyEVjxRPN8uRUqsS4y87kD9pkgf27+YWULme9sEOfz+J9fVJN/r4NKKLv59Pa7DHuo95PvyhHA5UuDGW2lKYS6zWyTn0WFGaczFdGESIxGzKhcRqrLfYrXmt1tnwvZPIfrrKYe8n0VhfQvvI39mwH9jSilH81VKMie1p2GeeV5xndYKgzeeGsLcRseZWa0uDcsfquAdLf1TPkUKhUCgUCoVCoVCIHo4UCoVCoVAoFAqFQkQOQKs7Jgi3MNNB2lNwUXGiuRGUfHBLO9zF7NJnBZa3GkHPOKsE7tqZMSsl4+4saBEPOUHdG1WE+vFvxCgh5tONUD65phzUuPfdcK0l6PM/i8O9eLwfLsUwufZLvVb3PLfBG41QnWK6HSsh5ZoU1KU+FMmCWsWJXkVEWijZHCfSO6cYNMAmAWXhVQ/+/od29PeA6T3nJDJC6L/6+5Fs12nD96Sf+C3en0AJ596yqhNekQGNZWMM/bQgDUoLq6t0UaFERHbb4GKvEdRpaiF+b0E73N1MX9vSllvlM0aps+ckfkxJG0zKdRFSibnIAxrM3gSoPLuzaIOyt62qLdcn15rlKyip3p6XQZGoGIdxv+Dv4E42EIXglgxc53/MQz1YNWoAUboWhqAiyFSa20tAoxMRcREtYkEElBamBjCVbqQPlIWNnaAntWDI5gRddIQJxVY6AfcT2wIfJXeeRfTfJqIUTiSFsw1ElRrqh127hKgr33SASrfQjs/cG4FtYQqziEgZJflsS8LC8FwfSom5mY5RmY/+G2zg8xOzKO/zgNKyIcp0YZrfRP05rRTKVSIib0S3S66QTwnJ+5GCW5ZUiIqJjsjJoPnzr0UwVkVEZnhhC3cV4XkXJkEBYUU1H33vPfXvmeWLKkClu2Iw2qptH2yAl57hySRUXndFYb+OLay21G+YB/aBEyc+4INCZCstnUvyMKZeaMA6yMpX3ZVXF0Zyp9FZTQlU2RazWt3eCCjUTAWKG6D/tNPc4P0D2+4dIVDeRtO+gKl9QzzW3GX/pGTjTFUqJbXB5aTayn3fQvPnlXbQ0XhdYircHjueoS4O5S3ui63dFG1ZYTaWzTUZH9iZ3f8sTOPzkQLp6ha0wa7jrFS17+2D/duZhs3jpOfVpG5ZYgclrdyF5+ufxPM97SY6tRvteX/LYrP8I1qrmSL8iB3jbGkL1hURK830nRCSDL8RwO+NOx9rXGIH7Pyb21HXELkUzvZCGXR752Gke5O9T2R6XvR4jeok6lhNCKqJpaSWyrRu3j9vaMV43lBVbfmNJ0PYV/Q21ltdqGsJzaUg0aFPLIY67gt1sE28Zw4E8PnvFyMcYB/tU08pto5HprmzPeH2mFiCPltR33vSa/UcKRQKhUKhUCgUCoUcwHPUW66K+iiCpjg4mU+fNQ6c4Pu5EVTPp7mF+bgdP7MTp/qTbLjdExG51YabtdYoTufDPQhg5HwgjfS9E4twSnyuDTevEwtwM9yaxUmXA7cyfpw2z3Lg1m5KEDdWIiJzKcCyLoFbIb5V5pvaXGN4wf4brcYEbm7GFgyyfGZtqMYsTy2Cfv8wGwLYagzc3sRtuIUYcBJuvTLNeH/ZN94wy+NHof3vDsHbMIb186vR5kYdTuw3zgzK9vtwW+EvRT1+H0Jbezpxs8WeyetJD7/CwO/d24xAS85N46Bg8VF0c1rhx+2hiMi+tt5vFT4tGtPof54nLCARy+KmaogHt22b21Gv632Yk0tseP/bYfytiEhzHN64YwO4rav+09lmOfyrp83y7TZ4Pe5JIJ9HlG5qRzro1qkdN8wTS1DXY/z42wFOeFhXi9XTcU0KfTmW8lc56Uadb27WxXCryrkdWnI8rbpuruoSrdKaiPT4maklmD/76Ob7okrchs2lwPh3W+HxPLkEN10d5IF6l7xFV1RjbF/zVdjO/7wDfe/plveE6+GigGa+Ed9NXonTiiC0UU02oI286L9ogjeEvU58S9hE42xqCZ6fvUu5xp4EnnUwCYC0pjHGeO1qdKLMog2NMdhLEZHbIhD4mUaer2H5sEEnG7jZ/GnjArMccMHWc16/FzrhtY3QgM4IbOrmUM/CPUG7VZioiG5ea2kOzMuHvdyWwTPV0vPxrbmfcv+FsodPkGFVK7xbnGulNQ4Wysgg5r6XvBUtFEw9xGVdb7uwhwK8+caZ11q+cV/uJGUbsQaeh2nsrE1gf8Me8tWt8KCMKIQXie35ID/2CZz/rYPsQXMM45Fv8ks9VkYK5wGq7LY25RJL2vZ7WE4vxpjnW36h5q/bY63j06fiWZ57D2vpKx78/ZoOrO27MrAXt6Rh21bk4/NE6pFf179rln9ZebpZfjWDthlEzIVXGiC6ICIyiNgYPPeH5KE9ownsGf7nLdiTBZ3Yy02jeUlbVfn/6xaaZbvt8PkaSt14xibK41lCIlKcS2wy5YfaEIaHiPe37OkfFcA85D36GXGrsNeuAlrjSJymMB/rF6/h5Q4Sb6O8cFHa63DuP67fgCI8m4vGxOlprH1POa32i/NcZTqteey6wCy4T4J6jhR9Dj4YKRRHAno7GCkUCoXiyAcfjBSKTws9HCkUCoVCoVAoFAqFHIBWx5SMDgoQZ53wlWFQ3u71IzB0atnJZnmHDW7/EAVathKtZFELTvnnu610h68F4cq9LgL6Auc8aKHcCSkv3ILbowjULHbhe5hKx5SDa8tBg7gwjufcRvoG82xwu4uI7I2D5sE5hBgBojI09/iJQ0dXIB67JJNeq0uRg+M5QPlPrRBPuLgYevMnkOtyxwKmLIDqESP36dQNcEHfQNSqMyiPz57bQUMpn4y+25wAZUdEpDYLN2vCTlQzF6gZRhB981wb8igwrYuD/tqzGL9hCvBtTMPNn2c7fLlZ2OVe4e15Xh3vQSDxOWmMl6EeuMt/kEK/Ts1Dn9Z3oP1FRMYXVZvlgZSvSygY2jMKVIb+O+D+DmQwR7+fBn0uTtS9OAWFjurE97xB9FafD2NotMMaDP2+G229j8QLOKjUQ+OU5ygH2+caTR9RXvz5Hsv74STGTGsGtoMFJLb0EpDbRXsVEalN4VkLKVfKw3FQFGp2Qzyk5g+gwhVSDodvFSGIWETkfRINuDxvsFn+VdsSs8w5X1hUYj0FuE6gHBUnUp4QzpXBgg/JXoKDmZqRa3idsEENKczfKM0ltgPvNSIXRr8yPNPxxWhnEZGF9Lkmyt/USUIPc+2YP0VujMPBXqxf19jx2090Yv05majZ88IQg7i4HDnbOE/O0g7QuEREGqIYO6eWI0cJU+k4EJ7nEt+id5BNZjpZrsE2L57BeGNa854oKC4s1PDNCuwl0vQcUdo/rG3F3qOK8uHVE52Q5+feqHXlZZEkr4Ooxz7Yqr0x/A1TWUe50J6b20BJZpvVSuvMxhCoTUylM2hsNUR7DmMQOfjcLIeCav9+WvSWBGwNj4smogEuLodtERGJz0P7DqW+qfZgbsRJTIdzSw0pwNx1hbHH+KGASXJhJcRNVgv2Nz8hka5CWq98lchT9JWklUb5gxjyj/2axCDmeGDbPEzfsoNPuIFosOtSEDg4+/+x991hdlVl9+9tc9v0PiFlEtJIAikkEEgDQRGkihRpfiKiIMXPEhEb6k/RWBBUUJSmIB8tSg81pEF6SCd90qfPnZl75/a7f3+EOWudyQwJ4YYJ5l3Pc55nz51z79lnl3eXd+31ViAeF8dSFBHZbWe6fyT4SGCL2+GeCMb9T1MMqfoUympKEWzeZqK2sTjNu63oSzzW3VNoH9NayMbyHCBG8Sy/TOJLyyjmnoeOWOxpw5GFMqKTXkL9Pod8N1scKMz747Cdw1z22FI2Sp+Nioh8FHmJiig9Qz1HCoVCoVAoFAqFQiG6OFIoFAqFQqFQKBQKETkArY6V19ity26pPFJke9ABd+NpAgUrn8DVNScCqgB/94406AcDXKBPiYg0dMC1t4FUygp9oAIdX1htpT/rgDt0uYG7kKkhKxqhpMPu9VFlUCv5egbfHe2CEkuM3LhdwXSS/kS1qInUdXd7VrClbV/ZTSAVrW1R+/OGELVnTQdcmkwD3E1Uw21UJmsFdJ7/SyI2REcSrs4wxXr6dRzxCFpKoU9fGcHv7FwACsU2jz3O0RAnXPJBbjtNoL0wNY2xklT5OIYEK6K5elCV8Xjsn9d0e9ehId/l6/ZzjpfxXhIUjjZSeltgUG5OQdubm0QdO7q808Ac0ExujyLew8yvor7voNBL7Ia/sAN9lONldcbTEhFJEgWmwYk234/Uw86kfnhvGHUnIlLXATf8OFKUZCWyYqItrSHKQgFRVLONoGdfPXF7FhE5uxLUp1wHzGaBC3nhGAtMOWCagodoPhNJ3Y1jUaz1ou52xBB3g2mzS5N2QkCA6DxvCWhFfYOwpZta0e8vCcBW3NcCau0eojSf44e65Mp099RHVnhkuiFTskVEsqf7KNKRIpsVRvl01p2ISA3FOyNxKRnhQZt8stGubFVdAOXIQqrX3XG0VVaTayKqxiSKoxYnFusZLvzm/DTadlMU/X6RE237hDzQlhY22+MwDS6EDWdKeYUb4/HKjhorXRmgdhRGefBYyXGDREQa2+zP/Chgai/H/WKlN6bBsIrUq6SEdUcuqFXzXOhLA/NRtqP8oEnV5MB2cr9g2yIi8q0AlHafJ7L7KlJXG0KUsE0RtOLn60DRyiEbub0D5VxOioJsO/OIsut29jwFO6EE/W9dy44e7/uomODb945rkxTjh9TE/DQXOKfQbndeDGGOw5EVK2m+GKGxbGMSc8rb47Dvd/dD+f92Z7WV/t8oxqItZL+claBf/TwIW/30dox1j3eh9j5cCFXbvgG0xzlR2K2vOTBPGEA2fB0N32GyP5szKA+/y07jyyaYEtpBczamf6/vwBy6vw92bqqgHe5xwWYtbEJfLw/gHqa31qXstLo4qS6y7WC7yFS6NLWD0TloK1WlsFkxg3qqSYHC6aLf57GF1bLZjorYY0DVUrsdRLYieZCUb/UcKRQKhUKhUCgUCoXs21Tr8aSfy0M7PKzzTjuHtp1QOgC/PIQV/xklODw6zIHdglaKqfEUxSASsa8IOYYB71pWB+GdmuqFZ+eJVng3OCZHKIqd17MqcaB5XjOiJbOefD+KzzTCjbSIyIO18I6wt4jLiWM7sLdiU+MyySa83n0H+fmAsIh9F3IrHbasJ518J+2rsjdmrB/l+VoLdv0j5C06uxyHEfMc2DeakMZuxrcbEDvknHL7IfLhTtTrH+oWWGn2+PDh6z0R7Gzx7mOn56zrd4cEsZu4tQNeFg8dCmVvIu9Ii4jsCdm9HR8Fbu5L1Gf4wPDEIvSfJvLk7I7ivXkXdUbMnr8bA+hnM1rhDcjPQZlwO3zEDQGIKxI1VjpMB7ZtsUDoMGaQYoaw94Q9liflwSMkIjKA4um8Q4da62hnniPas+e10IU21UbR4hftRfvKBgqDiA/hdqEvs6AJ2yCODcJ9qTaN+lveBFGLAXmwWeMDKP9dFP9joAe7eFdG0VavS6615ZVFXjjGGXt02R71CaAu+SA479739PkYH/rS802Iks5ed36uiMgJBbA/c3a/IdlCSR68Xu3k4WN7y6IDRTmwM11RRl6GvdQOOeZONcXZYe8gH1TPJ7GMa4rRR3ca5K+vA204QPuSzdJ9PA4RkQUxHPYv9yCvb9UhltJFVdhFZ4/G2BK05d0kGsSxe5oSdq/9jubVki3w/IHj9HA7KfejrfOObnMM+eI2NjIXfWZpCOyPSBI24TM0Ls2lGGMiInFifVTnoy9eRJ7Ud+lwOe+c96N+ybHLuN+zt85H4wzvsnMcpp3tdm/WMXloaxyrjr192bZ5X+x/oYiIrI9jjjDRR/OpphW2+/+aC9GDx3PwLmen0T43u1GXXD4vxsDG4T56Zh7GvusS+G7Ai/qq7UAfW+lF2f6uze4B5nnP8S7U2YA07NkVY9CvdqzEPYsojlmDk8QyHOijb0XhWeS6PD0fwgciIo/t+LdkC0W58Exz/+GYdqPI3vYnb12Rg4REKFbkPAfa16wG9PtRhXbRjVYSFrnVi3pa4UI+OBrSEw2Y3w7Mg8cmRR6iVhL8KPei/EeQd6mD7GIxvUNTxj7OvNYIW9iXxoBtbZhjDClAe95MHsh4HO2gK45Iz1FXV9mRBl4YHalgA3EkoqeFkeLQwAujIxG8MPokgBdGRyLyDiO1MBvghdGRCl4YHYnghZHioyP+AXT4IwG8MDpZGhxwAAAgAElEQVRSwQujIxE9LYwUhwZeGB2J4IVRtnFELo4UCoVCoVAoFAqF4uPGBwoyMOVoWCEOqq1thltxJLng6ihmDB9IjvAhLtqQDZEu/gCiyE0oAB1ARKTMCWpVkg54babDfS/TIfJzCrCL/s9axPkYXAjX2pJWuORPKKhG/ui58+vhOo+Vwu1eHrDHbGlNYHUdocNyTGFqjtvpC9lERXDfDkkOufH3Ju2xomzUGSpDhxN5LPHAm7MogjpujcEFehLFCfHS2rpS4PZ8kmJ7nESHzrckQCFweVHSnysfLdUOUL9CJDoQMmhHOXR4tdKDOuhfCioDH1SucoFmuI0OaMfpnj50cPEYb5dD5Fmk1Z1egcO/a8PYEWba5zvNiHHCdCg+VH9XAvcwBWqj0+5q5v60qQ0xcCYWoR07M/j+4pNR91eswneZjjkiQKIeEbzDKT7Yhu1R3L+oDX2suAD0MxGRHGqPfCjZTa735Y2bpTsEc7oXt8gGJhXva9+v1L5r+/yUsuFWenETDv3upH7GtAGm3l1OsTdYYOQf9Uus9ACKQ9OXKBG3Gti1K/PRhlZm7P37mBy03cEufP/fIeysfTMHfXGpG+3l0brFyCvFmVgchfhNQwb0sFwSPmAqVIkPz811Hr7DySwIxFTBJrKxTKFme/e1Yryf19jFCK4bgPu+vwc2hWnC5wVRzn1z8O5fiaO9PNCIemU6JtOWizywd1vaYS85plJHl5h5lWRDxpSAsjq7BePUxFLUMR+G5npi6urhZGn0z0eb5jhlMQeeH6WD/5wXPuDNdp+pdCxywLQZFu7plwuBmO3tdjGBMNGE30jARq4NYezjOmPBCD74PbwQVD+O28RiNlV+tKe9dKCc67EhYY9zxHTChsThmz90jvU72kCJHlqFcmMBiatb5tm+m+fF/wYVgU7aTGP4K61onxyr61SyqSsTqJvvkuDNSIP+fXt/zB821YLmy0I1kwvo+IMRaXGg3V96LOxZtB7ta20K9uSODlDCbJR+En65qALvuYNi1W0kQYtsg+0cx6Di+J7r2zAmb6b+w/ZyDVFzFzZiLpHheXUYtLNH/XhXEZFXXJiv3F6MdvxiA+hz3x8ECuCtrZgXstDWk0mMS5PpSMwjjTgOcHEpRJCaaR44vxVCEj43y4DYj14w1bkuhrwynXZDwyeMVqc4usALI4VCoVAoFIqPAl4YKRQfFro4UigUCoVCoVAoFAo5AK3uWFIEY1UbnxuuslXNUB9hRRaOuTOvCWpws8m9XxqAi4/pB1/Mh5taRGSxgdvUReu5n6XhyvujD/e4yYV/W8UUK72X3PnrPaDkDXCDolWXAUWOSRdMmanvsLu/md7EbvL1rXDZHZsPN3BTO2g52UCnWt4HUSRyiYrEaiccS2FlC+rSRXQ7jv+xpBEuzb15cL2DvGinE44jRa4UaZq8SWo/rKsvYldwm1IEGh//7pIWUK6YmlZNamBbOqBWwgp1xR5QAVa31FjprnTJbILpfl4X+k+JF32gmZRvuI6GelHO/UnYoIFczWPTdhrTMqJ1MVWH1ZeKS3DPA2tQTxs7oFxzQhCfv92Kdvu1ohOt9B8bUfunkuIe24M9GfvBTpbI3NHOMWnwnU8RjWhRC55dRYpQbRQ3LRtY2rbv98aWDrZ9vq4dfXkw2cVKoilMcoCCs9jARjAl7elGUH5K/fguU8JcpBQ1NQDa8vPR7mPEiYic5EG735EB7SIUR/oOgaoT04KOI1rQq62w1UyNZroC033YTnA9NsUOHw2oMYqyZdoT24dRxdVWeiCpzcWp5XUJ8SNe6g8XbcU7vu2D7Wf1ubFE253hRn+44FOgyf11Luz+cXH8zoMejFexIChITMvqT/QPEZESope/FwcNbHAu2mNjEr9bG8UY5yFqWoToZGOL7IqS86M1ki3Eib7HymuVRE0s9KAMWXlwVH5/K728Be2e21uCBBY+SzG5Wv1oz7XU97aSepWIyPAg+tl2ioHEbWpXO+qDaTocY4nLmSnQrKLaSHOGQj/eeVM7KEx+mleJ2Gl5pmdR4Y+M/PdtydTykdZnZQ60f6al8vEKEZFiN1gff6qFsBLTwk8vxe8W5OMdF3WAvviDHNCui9Loh9Mmowy3vg17eeWZqMuX3zjBSu9xoE20GrsAx/VbUe6srjbBg/c7lhRuT/aAFvq6G3nNJWXejWH0Q6d0MShZRAfRTzmGHFP/WG23gfobt6MQ2QG2kY1xtE9W97wxBeqdiIgrgv73xz2og3GlKOs17bBbqyIYT3bndD/fX5sC5W1EAfr9Bjo2s7wZdFpWKmalXBGRFWQrWohaPawI7ZYp7x8E9RwpFAqFQqFQKBQKhRwgzpFCoVAoFAqFQqFQHC1Qz5FCoVAoFAqFQqFQiC6OFAqFQqFQKBQKhUJEdHGkUCgUCoVCoVAoFCKiiyOFQqFQKBQKhUKhEBFdHCkUCoVCoVAoFAqFiOjiSKFQKBQKhUKhUChERBdHCoVCoVAoFAqFQiEiujhSKBQKhUKhUCgUChHRxZFCoVAoFAqFQqFQiIgujhQKhUKhUCgUCoVCRHRxpFAoFAqFQqFQKBQioosjhUKhUCgUCoVCoRARXRwpFAqFQqFQKBQKhYjo4kihUCgUCoVCoVAoREQXRwqFQqFQKBQKhUIhIro4UigUCoVCoVAoFAoR0cWRQqFQKBQKhUKhUIiILo4UCoVCoVAoFAqFQkR0caRQKBQKhUKhUCgUIvIJXhzdf//9Mnv27P0+Ly0tlfvvv19qa2ultbVVZs+eLSeffHIv5FAhsn89DRgwQIwxH3hNmzatF3N89KGnvjRu3Dh59dVXJRwOS2trqzz33HMydOjQXsihQqTnepo0aZLMmTNHIpGI7Nq1S/70pz9JSUlJL+Tw6MRnPvMZmTt3rkQiEWlvb5fXXnttvzGnurpannnmGWlqapKmpiZ55JFHpLS0tJdyfHTiYOqJ0VN/Uxw+HEwdfdh6VGQfB1MHp59+usybN0/a2tpk165dctddd0kwGOylHB8azCftuvbaa40xxsyePdv2eW5urlm3bp0JhULmJz/5ibnlllvMxo0bTSQSMSNHjuz1fB9tV3f1FAgEzJVXXrnfdd1115loNGq2b99uCgsLez3vR8vVU18aOnSoaWtrM7W1tWb69Olm+vTppq6uztTX15uqqqpez/fRdvVUT9OmTTOxWMzU1taaH/zgB+a2224ztbW1Zt26ddqPPoZr6tSpJp1Om1WrVplvfvOb5jvf+Y7ZunWricViZsKECUZETHFxsdm2bZvZvXu3mT59urn99ttNS0uLWbFihfF4PL3+DkfDdTD1xFdP/U2v3q2jD1uPevVOPZ122mkmlUqZRYsWmRtvvNHceeedpqOjw8ybN884HI5ef4eDvHo9Awd9OZ1O86Mf/cik0+luDdf/+3//z6TTaTNlyhTrs4qKChOJRMwjjzzS6/k/Wq4D1VN311133WVSqZSZPHlyr+f/aLgOVEf33nuvMcaYMWPGWJ+NHz/eGGPMjBkzej3/R8t1oHpatWqViUQiZtCgQdZnw4YNM/F43PzmN7/p9fz/t1/Lly83NTU1xu/3W5+Vl5ebpqYm8+qrrxqRfeNSMpk0w4cPt+4544wzjDHGXHfddb3+DkfDdTD1JHJoY5deH18dHWw96tW79bR06VKzdetW4/P5rHtuuOEGY4wxn/3sZ3v9HQ7y6vUMHNTl9XrNu+++a4wx5uGHHzY7d+7cz3Dt3LnTPPfcc/t994YbbtBB6Aiqp67XqFGjTCqVMn//+997Pf9Hw3UwdTRr1ixTX1+/33cbGhrMyy+/3OvvcDRcB6qnAQMGGGOM+ctf/rLfd59++ulu60+v7F2FhYUmnU53u1kwc+ZMEw6HjYiYzZs3m9dee22/e9avX29ef/31Xn+P//brYOvpUMYuvT6+OjrYetSrd+vJ6/Wal19+2Xz/+9+3/X/EiBHGGGOmT5/e6+9xMJdbPiHw+XySn58vl156qTz11FOybds22/+rq6ulb9++MmPGDOuzYDAokUhE7rvvvo87u0ctDlRP3eEXv/iFRKNR+eEPf/gx5FBxMHW0adMmOfPMM6W0tFQaGxtFRKSoqEgKCwtl7969H3eWj0ocqJ6OOeYYERFZvXr1ft/dvHmzXHzxxdK3b1/ZtWvXx5Lfow1tbW0ybNgwiUQi+/2vtLRUUqmUFBYWyrHHHitPP/30fvcsX75cPve5z30cWT2qcTD1JHJoY5ciOziYOjrYelQcPhxMHcTjcTn77LP3+/+YMWNERGTHjh2HPZ/ZQq+v0A7mcjgcxuVyWX9v27bNtqvz6U9/2hhjzGWXXWZmzJhhQqGQMcaYTZs2mXPPPbfX83+0XAeqp67X8ccfb4wxSgE6wuqoX79+pqamxrz22mvm+OOPN6NGjTKzZs0ykUjERrXTq/fqafTo0cYYY2677bb9vvu3v/3NGGPM+PHje/09jrbr+OOPN+l02rz00ktm5MiRxhhjbr755v3u++1vf2uMMSY/P7/X83w0XlxPIh9+7NLr46+jQ71Hr96rp/79+5svfelLprGx0axatcp4vd5ez+9BXr2egUO6uhquSy65xBhjzMaNG83atWvNl770JXPVVVeZlStXmlQqZc4444xez/PReB1ogLn33ntNMpk0/fv37/W8Hq1XT3V0/fXXm0QiYTqRTCbNBRdc0Ov5PVqvrvXk8XhMKBQyS5Yssd3n9XrNjh07jDFGz/B9zFcwGDQrVqww6XTaTJ061UycONEYY8xXvvKV/e79+c9/bowxKnByBNRTd/fo4ujIr6ODuUev3qunoqIia/4QDofNtGnTej2/H+Lq9Qwc0tXVcF111VXGGGPq6+ttKk0FBQWmsbHRLF68uNfzfDReHzTA+Hw+09bWZp555plez+fRfHVXRz/72c+sA8lf/OIXzVVXXWUWLFhg4vG4emKPoHr68Y9/bIwx5rHHHjOjRo0yo0ePNs8//7xpamoyxhgzceLEXs/30XL5/X7zxhtvGGOM+cUvfmFExJx66qnGGGOuvfba/e7vXBxVVFT0et6Ppqu7euru0sXRkV1HB1uPevVePRUWFppLL73UXHXVVWbx4sUmmUyaiy++uNfzfZBXr2fgkK6uhuuiiy7q8XDygw8+aNLptAkGg72e76Pt+qAB5uyzzzbGGHP55Zf3ej6P5qtrHRUUFJhoNGoWL15snE6n9bnb7TYrVqwwe/fuNTk5Ob2e76Pt6q4vORwO8/vf/96kUilrh+7ZZ58106dPN8YYM3To0F7P99FwFRQUmHnz5hljjE1YppM2/I1vfGO/73TS6gKBQK/n/2i5eqqn7i5dHB25dfRh6lGv3qsnvnw+n9m8ebPZvn17r+f9YK5PbBDYrti9e7eIiNTX1+/3v/r6enE6nZKbm/txZ0vxATjnnHMkHo/Liy++2NtZURCGDBkiPp9PHn/8cclkMtbnqVRKHnvsMamsrJThw4f3Yg4VnTDGyLe+9S3p06ePTJ48WQYMGCAXXHCB5OfnSyqVku3bt/d2Fv/rUVZWJrNnz5bJkyfLX//6V7nuuuus/3UePq6qqtrve3369JGWlhbp6Oj42PJ6NOOD6klxZOBg6kjrsfdxKHUQi8XkhRdekP79+38igpT/1yyO1qxZI7FYTEaOHLnf/wYOHCjRaFQaGhp6IWeKnjBp0iRZsmSJtLe393ZWFIR4PC4iIi6Xa7//dX7mdP7XmI5PNC6//HKZNm2a1NfXy4IFC6zJ+NSpU2XZsmVWXSoOD3Jzc+WVV16RsWPHyu9//3v5+te/bvt/a2urbN26VcaNG7ffd8eOHStLly79uLJ6VONA9aTofRxMHWk99j4OVAfDhg2Tbdu2yQ033LDfd/Py8iSTyXxixqVed18dytWdy/uJJ54w8XjcjBgxwvqsurraRKNR8/jjj/d6no/GqydqgtvtNrFYzNxzzz29nsej/epaR06n0+zatcusWbPGpizj9XrN2rVrTX19vXG73b2e76Pt6q4vLVq0yKxevdqmsnXOOecYY4y5+uqrez3P/+3XI488Yowx5q677urxnhkzZphEImGGDRtmfdYZBLa7s0h69U49db2UVnfk1dGh1KNeH289uVwu09zcbFauXGk8Ho/1ef/+/U0oFDJvvvlmr7/DwVyfmDhHB4Pp06fLaaedJrNnz5a7775bEomE3HrrrRKNRuX222/v7ewpCP379xev1/uJ0rw/WpDJZOSmm26Sp59+WhYvXiwPPPCAuFwuufbaa2X48OFy9dVXa0yJIwS//vWv5ZlnnpEXXnhBZs6cKdXV1fKtb31LZs2aJY899lhvZ++/GsOHD5drrrlGQqGQvPvuu3LllVfud89jjz0mM2bMkGuuuUbeeOMN+d3vfic+n0+mT58uS5culUcffbQXcn504WDrSdF7OJg6WrZsmdZjL+Ng+9LNN98sjz76qMyZM0ceffRRKSkpkZtuukmMMXLzzTf3Qs4PDb2+QjuUq6ddnYEDB5onn3zStLS0mFAoZJ5//nkzfPjwXs/v0Xr1VE8TJkwwxhhz/fXX93oej/arpzo6/fTTzezZs004HDbhcNjMnTvXnHXWWb2e36P16qmeLrvsMrNixQoTDofNli1bzM9+9jPj9/t7Pb//7dfXvvY1cyB03jt06FDz4osvmvb2dlNXV2ceeughU1pa2uvvcDRcH6ae+FLP0ZFVR4daj3p9vPXUee8ll1xili5damKxmGlqajJPPvmkGTJkSK+/w8FejvcTCoVCoVAoFAqFQnFUQ09VKxQKhUKhUCgUCoXo4kihUCgUCoVCoVAoREQXRwqFQqFQKBQKhUIhIro4UigUCoVCoVAoFAoREflAKW+fr7+V3idCsQ+DC/pY6U2tu610ZbDISjdFEdgzL8dvpdsSiAae48Tjfe4cK53rwf0iIn4X/rcr0milC725Vjpt0la6jw/Rd+vjrVZ6R1sd8uQNWGmPE8EuM6RPEYqGrXRVbnG394iIRBIxK13mL7TSNW21eAeP10q3RbZKNtGvaJSIiJR78eyt4Vr7PcEyK53IQIa5I428uxwohzw36mBbey3dg/V0OBG10qWBAivdFG2z0iX+fDwrhcBffYOlVnpnuOfgvNEkvjOquNpKr26usdJuqj8/taN+uXjnmnbUfWUAdRlL4/fdTnt32Nb0bo/5+rAYWDLGSvf14vkJaretKfSNiYF+Vnphx04rvZvaf8b0rKViqI3menz4Dn1eHayw0v08aDstadTr3kTISiczyGs/H96h1IW+9GrjGis9NP8YPCsHtkFEZH0M9dEUR3v5VMFwK/3k3sVWOp/664Ulo630Q9ufkWyis57YnoiI7G5vstID8lFuO9vrrXSxP89KO8RhpVtisCP988qtdDO9t4faXiyVsNLcZ7wuj5XmuhARCZJ9KfIiH3UdLdId4ulkt5/3CaJeW8lWs/0v8uH3U2RLmmLd23wRkbrW97p93qHg5KppVnp1qMZKf7n8ZCudlIyVfj28xUpflDvMSr8Rs4cRKPfAVtUmMW54yC6WuDHmrGzHs/v6Yc9q4yhz/m5RDsrN60RdvtuM8aBPEGNXuRc2VUSkLo6+6Kbf3UFtcGLpUNyfQPsKutA+0gZlE0nbgzFualwm2cKEqqlWelsEYwi344ALtonH4TIPymp+/XorPbCg0krzvGB9M+qSx4mEQfsM0rO65qmFxnqvG/kbWTjASscy6Jfcv+tiqO+mDpQ5W+dhRX3xOz30PZ6fiIiML0NdNlJdbm5c3u33DxWd/WlzeI/12eBczPHqqD3XdqANiojk5qBMW2MRKz2kELa/I4U5Bs89hgbxjJoo2vCYIOadoQy+G86grTbSvK6vD32Pxze2DSIi44oGWelNkb1Wuo8ffW5lU/dzMx5rP1uJsXxDFG2ohNqsiMiivXO6/a1DQX4QeT+fxr8FkW1W+uQg2qqL/B4xQZmXOGAHViYw79obb7bSA/0Yo5Y2w3aKiIwoRN2U0Li/OYb62xXGHOUL5Sda6Q1JjKEb2nZZ6dEF1Vb6OA/Gn7kd2610ZQ5sIduvrVF7n+H56YRc/G57Bn0uh2znCztflJ7wgYujvrlodHsieLHaKBVkfmW39/Dg2EyD5viSIVZ6L3W6UBzGqSsao+gIbFhSGXw+vACTSS74AUFUdIEvaKXDtKAZW3KslW5JIh/tcUwSbfkhAygiUki/ywbeSRXVJ4AOmO3FUWdj4YGAFy4iInucqJsSb/cLlngKZVucj0lAkQ/p2gjqbDAZQF7o5riQ9tOgzM9ldCTtAzQvlB0ODEK7ouh0J5QMtNJNNHBw/jaGsHDnOuJF6/AitJtI6vBFbW5PYqLZQBMjXgS9FsP7bUliENpM78GL+qF5KH8uJxGRY9ww1CEaVBY3b0KeUmgj7ybQRycFUba7DPo6T7TD9D6DcqustG3hSQbphTr7QjNNk/v+tNhY0oFJjsuJ/hNJor9uTnY/4c8G2hL7BniewInY22SS3os/5+/w5hAv2M1BiIMW+9BPXAnYI1701LTaNz/yaVHD9cR9qzIXC9S6MO7plw8byf04mkIb5LGABz+ux3608OMyyjb2xGDLji+sttLrU3in49x414F+bJI0C/JV4LYv4AqdsFWrYnj3CwtH4R4aMocXYsD+8555VvrUMizwQ2n0E14Q8ThT6IVt4nLjSYAI2ua++1Du11WeYqX/sme+leZNo9PLRlrpuU1YbHytfKLtGXdlcXG0khZ9vLjmxUsL2R2eP/B4xYjSYi6eTnR7T5oWxlyGXod9ulPuw4YQL27Xh7AZ1UT5y9CGiZMmWLxIy6GF1YlFmFcsad5spQvIhvMiK7fLhgLPY8wHbIR9VHSOHZV+2JCaDkw6m6NcBvZ8FOZgbsBzqg0tyPu40sFW2knvu64d5RykDfFVHRjvuMz30tj+6fIT8Fwa394L47u8sBWxLxjqIujfJ+ejnvbQJu/oPHx/bQTvsyVGi4oIxsdwTvfzxWxgVAHysj2FeW9/cgTMrEPfZQdGpQfv1OHEHLGCNnp4g2ZqLuqrX9lYWz7W04JqdQT1l86gn51djsXbkiju2RzC4psXz+vDKNtoEPZvqA/jycJW9J/WODlYXPY+XUIbd7wQfK4eGwqDCqrkYKC0OoVCoVAoFAqFQqEQXRwpFAqFQqFQKBQKhYgcgFbHLml20QfpDMMWcpUFiH/KNBjmsUeJtxtJwg3J9I+ulBamiDmJahNPI39MtUgR5WBLO7ilpX64FwvIHbwzClchcxaZDhOm92G3uIjdtcxu59IA6DHMkc02Op/JZ3eYCidid5lvbkOdlVOZ8HskyZ3NZyBK6QzRNqKnlZM7em8YrmamGTBlh89mTSsH5UNEpDEFygm74Zk2uJeonQ0dKFvmdgeI0rehFa7bE4pBG9sbw+90paZlE+cVHW+lV8TQJp8id28JnVl5pwFnNAr9qBemV6xrBQUt2oWa6CzD2YrFDRus9OTyEVaaed5eooa8TudDnFQmPqpLdm2viIOXfGIJXPLc17kviIiclAcO9VvNoPnw+airK3GGZHYYbv/axOHrSx5n9yYxSVx5Pq/DNoUpMkxDY859SxwUFabkMQ2PqbltVM4BN9oztwkRkQI3bFLUg7bAdpX7MZ+B5HNDTMlLpfE5U5uZSsdUoIYoqCpcLtkGnyltSqLcaojqmc7F2JDnRJt6rHZRj797Sin6DNuUB2PvWOnJpcdZ6T10Ho/Hx8EeUPr+3Uq8eaKc3uLFs/7qRNv+rQHN9jsZUFJERKYWga63IWbn2nfix1WnWekmB+rpXqL93dhnipV+PLSq29/JBvh8Ap8RDSVBD4wSNa4igHIry4G92NgOqhTTd/rRmckhAVBl2I7PqcMZyOMqcQRARCRCdKyaMMrznAqcKVkWRr6ZisX02DIa+yYUw/7toTNiPJcI0dkcpj+1OfG5iJ06yWNzKGI/B/JR0UkdZErncbkYR9NBlHlzyp7HIjcooS0e9MUhxbDva0PoA1w3VdQfwqnuKWkD/ahjno/yGZcT/cjrcqLGFzrtZ8yYDsd0+lca0Ad43sRzDz5+wHNbHrNLcuxjXG0Wh6lyF8p5eQTlOSIAetrnKkCBe7l+pZXe6cR783m6AQHQ1i6qGGel57SDet8csx934T46IohyXxpCm9yTxDGHGjpHx+NdiOji0SRsAJ9Je6Ue9TKG2tOQQrSblXHMpUTs1MkH97yN75eCOhmm8fiDoJ4jhUKhUCgUCoVCoRBdHCkUCoVCoVAoFAqFiByAVsdIEMWC3Yd1TriOmbZREQBtamc71I2ac+BOq/DDRcfSkV0lGM+rghxghFy/DSm4cVNEA2Na3QRSIllBLnKmm4wtAM2qlWSMmcL0QZQrlr3e1YF39RMNpiXWsxrfR0UnBSRAVJmu1MSOdPe0RaY1JEi6t57lXkmF5mSiazWSZDfL1Hb48KxheXC9bicaV5woV8tDdvU+twsUFVYRYvlaH73DpyugXFNLLt1Wotkw3ZGlduuJKsFUo2wjSeXZQLSwMqIpshQy54VVE1kKmtt8h8fuKl5OEpyscJeifFyeBzrjtCg+f6kQZTUvBjricC9Uv94Od69u80ITXOGjSUksSPQIEZF5IVD9omQ3xheiv85qA70vj2hjOT1Q37KBTvpcV3odU4kjZDuYXlgRhM1LkvKjLTwAUWqGF4EewO/H6ldMrWmg/jauGOUkIlJMsqpMJ2UbtKMN/Y/VGzl/rFjJdCFWmtzcClouU0y4bTJ9MNtY3wa6GdNJmS67gOSfmVLB6FrHq4gCx0qJZ5SDEsvS+xwG4MbKU630O0lQSbgPjHej/xQlUOb/6wJlpDWDzy/w4n1ERP53AuhlX18MGtnXiY71eAb1tCoFqvmkctABVyRBs+H6yza2R9DeWF3URqujvmbRzEsAACAASURBVM99I+KDzWP6FfeHUR6MDU0GddHPgb4wjWiGmx32dx1A9MfrqJ5WOPBbNwcxtrTkwUYuSqNsh7vQ77ek0UeZksx27e2mDd3e0zWURDVJKm+M7JHDhU71Vh5zWLKb5bqZiiUispRU+Dh0BsuC89yRaddxmssx9TgURztwkIAfU7/7UTiMDUnMudh+7UzYVU1PIanrJ2qXWGlWPGMVz1mUZhoey0rvoOMcfifyl23UpjF/ZOnyxjTKaksIFLMklTnXy7ZW3DMuH3an3RBVnEIInJ8PGr6IyBqyKTviSDMVfFgOaM+CarJ9/gwdJ+DwBXui+E2mb/MYNTeMNndSrt1GPl+3wkoz5buIxsc1LdvlYKCeI4VCoVAoFAqFQqEQEYdIz4E3crx0uJ12IHm3hw+w9Q1gRcu79rzLX0/xI4LkcWmlA1rtXWL0cCwljrHBhyL5wCN7oU7NwXdTdP/CBAWAo5gTfKh6MO3cFJJm+sYE8iAisptWu3xYm3flOOZRrEvwwY+KoL9aROxCESwsIWLfdeH/1dMhava48Q5dMdWxj3aleec034Od6C/5Ebwu7MBu2+g4yvZ7yXW2/HEcoLH52A3gA6AcqHRrgmKdeFHHq+iAHh/gPMGHndan92LX6Hja0dzZYQ9G29i2UbIFDuLGu93skZxShl2aMJVtkQv95I361VZ6KglZnO5E3xMRmRJHHz3hDJTVdxZgK2d5HH2Ad3NLyTPMsZA+E8A7YJ9IxE19ZnUa7amJYrxsatstjKtL4Q1+oB6H5PlgO+8CVlGAad5ZzPbh5MGl+w6msgCBiL2eeCc0TrawhEQn2I5wnDe2l3ke9Fc+oMr9k4NKsrgJx8YRsfddjkvCXnc+eHwMBWHmXT8WdWFbxgfhi0gMgncZeSeYxXZEROrbNki2MKgEB4853tZx5KVuoYDKnC/2IJ8YwP0iIq+HKNhoEDZlczt2wTnw+B1e9L9HnRgT+HAysyMuDGDXPMSBGYnAEaMxKib2OEcTE6j/CqqbfBfSz9Euf2Ua7egHzTic3DX+C2Phnrd6/N+HRcCP53B/YLvM4zb3q4OJB3ZRGQ6RDxMSBnHgd+bHYXeu9FTbvv+nCGxpoQf1eiKNFUnKx78bsCvNAUV3kqhPEY2DBWS3V7bVWGmOedhKdrejS5y9fgHs+DPzY0PDUskmPtfvHBGx22sWuOJ5zIg8eFBE7LGK+H8dxAzhwKoc0247HdY/Jg9lwsHo94SRD2bG8ByUPQxVueSqEJFcmmOyx3tIAYQMONYWC18M9WL+56cYWQsoqDS32aaoPf5lMmEf8z4KRpSfZKXZhjHLgN+DvY49BU1l79JphRB7GSMog35dwtU95cb43kjtJZdixLFHaRPFaLy8CgJLzzdBMGJEAYRbznejXp5NgrXipxhxuyhgbVewuBDPeVspRtxnC+FFf3j7zB5/Sz1Hil4HL4wUCoVCoVAoPgpyuwR5Vig+DHRxpFAoFAqFQqFQKBRyAEEG1iUfnA+qGlNw2I3FAgZb6eAXH8ZkBImq1xgDjYVd8CIipwbgnn+Z3GPH58EdV+EERaXMgXwvSuJQaJUb7sJhHrhx0x64YucQlYpdw60GruVw2n6wkw8r746AXlHsg0iBjbqS5TOwx+bvowEwFaGrNyZMNBemPx5XBPrInBYcgD+lGMIL85tAN6kMcHwUuLN/7hpipYtjKLf+JajXfxk8d5oXtISUsVMo+MDdxXmgmq2gw4BMz/w3xW3Ko0N4FxSOstJrkvguu96ZcsM0BpHs0urOKxltpZupLW3oALVtYROe11mnIiKtRBHivLN4yL3hd23P21wAN/lT/95mpccWoW9N9sKFvY7c5RxHiCleT1JMlF8GQWm5uWWBlb6xfKKVvrsBMUZGFtmpPM+2o03dUo7D7AtToHWF6L057paTaBche9iNj4xOCgLbPhE7tYQP8DKVlQVKmIbMVEEWZin3gSa6g4UdSMyGe8ZxBaCtbA3XCsNGVSL6STNRH6aVoi8NcMIWPlS70ErnedF/mP55UdV4K/1cHQ7TtkQpJhlRD8tJnCLb6E9xjpZQXKZGokcz3YTjlTA9clYT2qeIyOklKJ/rYqjXfxXjeWMNPt/oRJlflYRt8xahfXzGoBx+0wYqCR8wviIfgg+vxXBY+OEcuz2qPgWUmF8tg32Yk6C4ckm0NQ/1E45PUks0MD7cnW2U2MY/0GL2RLqnbHEMKabm8P1MB329FTZkrQ92kePh8VziqRRoOiJ2gRMWFDo9AWri350o898UwU6NzqBfPZSLsj0rhvfsyMB2zikG/XR7GvSnuijabyhqF23ivjWmZJAcLqzr2Dd+sihCFZVnwIXyWNNmPxJQkBPo9n88F6yg8vlULoQpXqDnXUbiQI+1dh97i+dQU8rQZxa3gbZ3Rh4o/c80gga57/vol200h+WYexzX6t0U3mcXiYqVBrqPDTk+315HL+zMHq1utA/z70UU52iMn+blbrThjUSf+2Iu5gJsE5hil0e0QQ+xeb8dsVM4Wczr7x7U2U/c+K1PBzDf53L+dwPGDaaFs7BUPVFilzdhHtg3D7bwZBLWmJSxx/urceG3nmyDfWdq+zMN9nbRE9RzpFAoFAqFQqFQKBSiiyOFQqFQKBQKhUKhEJED0OpYSYb1x5mawC7XLe2g0jExjr8bppg51UTROqcEbtJ+DvtButmk+sG0lAmFcP1+ow+e/f09dsWSTrzRBIU0pl/VkaY/q0l1EOVqdA7UP3Y57fFwFrZsstKVFJOhg+h3HAMq2+ikjbC2EavHiYgkMqBK1UTgAh1QCNrHWcVwk66OgbbTE+2p2Y26f8SD378mCbezNCH93QegnOWeeKGVTq2ba8trZu7r+CMKas+mR1Fn9xUir6sozsG2CPI9swXu+ZGkpMN0ClY+CxzGOEfbUmhjeynOEsfISlLbq4vhHo7rw3Gpcnz4fHSenbY2sxE0u2+Wn2Kl30iin7wZhXueY+Mw1ZBpdUybWuhBvZxfNsZKL0mhLvoE0RfWtdjpGFzWv9uL+j8mFxQmVpDiPHGMrGyjU6WuzG+nhTGVjtWUWJWNqQJRW8w30ErqydZsJCUftjtMQTq1DJQIGw0ix24jWemqyo9y30y0TS7P+WFQaJn2Z1OfI7XAVxqh7FVJyoH9faA7LGqEIh3HD8s2qt2gMS8g1baadpTPtaTuxO28gr57Kikmioh8Pgoq0H/8SN89EuOXKxf90lWENvzuf1C2lR7UzdsG49X9REPZ60Z7mplBWY0hpbQ/iB2eZaCUvda+1koznXNCMRTxNnSAblzuRXuuj+N5PUfv++gIE2WunRSmWCE0TNSqOfV4p0EFKAdunxzf5m1SVrTNK/KgiPa1HJTHfKedtnZlCdQKf9q62Er/IRc2bwsdD3jPhf7KFKpJRJ1c40W7eSiMPnOsC/T1MifaB6vYFvjsY/agXJRBxtiVC7OJ+PtjCpdhhOz7QOrjXP4iIm/W4R2/SGpkw0k9cEIMVKe5tB//nXxQs3/aADXF80sxnswW2JSTKWZlXQp1+YAXsah+Q9T7XIpNJ4J4kCIiN+WB5r5MuldKrs5FO+L4nDZFYlJz9ToOn68hTTTcY7ywv8/UgvbGY8Vgiis4l+KunetGm3rQRfMQWgock8Kzzi/CvFxE5KQUbN7IfrAv364Bve9fBhS2v+Xg+xdE5lFe0S+9pH37YCOUhLlvMB3zKaJLzusyDp5GtEoey46heJn5TrSLVztw5KAr1HOkUCgUCoVCoVAoFHIAzxEfUF8fgp49R7RN0o5umFbdxX4cDuvjx/0hN3bqOX4LH47NdIlxMLYQO00cBd1jsO81h1aux2LjVUIUGfdzJdhhKHbgpmcdONh5QhAiD1vj2JnaSwcwFzTbY3bwru8W0tIfWoidqb3hnrXZPyrWhfbtyvMOGx/oFxFpJo/bcYXwovxn7zIrPbAAu1t8oPkN8twFaFd7QwgHXAtKUJffjGE1/oUC7BzcfeObVvqRKS/Y8uc9G96N7Q9hR6NqHNrLLEF5bkmjbk70wKu3KoFnc734qb7PKINQw+4E7eS3Ze8AZVdsJY8W72D1IYEF9gpNKYQgRowOGBeQ2Egog929rm2So8ovIG/fjg6KWp+Ltr46gv59A+2q3dsGD9T5Bdj5XhRHO2eBlkc92FGt7IP++XA7ylxE5K8taHfHFqDvsqAJiwyMDKLu61LYmcp2jXUeIs+YtNRTrCM+XM5iC17qD5zftgTKvI5EA/hAK8cPS5CwDXvG3mmAhyePxB9ERD5VjAPsHBmcY/Q0UpykFto5Z6/QlHIIEUTo2f1z0a82Ul+voJ3LNhIFMV2EVVxOlxwOLKADyRNKsVO4uAF9YAkJ8ZR5UHdFxHRgT5GIyJhTscN60kDsOqZbUGc/mo2xbGAGn7f48FulNH79ow5iF3+5DHl9ZxbG1rOd8DwcH8Pu/Vteuye7lWLGDfajjtl7x2Iq383FDvzf4hRVvocD6NnGCQXwZm+Loj44nlx7HO1ncjnac5raEgsNrQ3DTvEB/Q4SD3mvBffMrcIOepTsqIhInYtid3nRRlY0Io4Ne9ZKaHz00K72XSHs3g/NhcgNszcmuNBuZpHoBr9b19iEu6OwhRwTLdvojJvzmbLju/3/ghCEgo4J2AU8mAHQZmA7flYPD8DDxVOt9IuxGivtozkGe/tYsGhkLuYqn0/C61uaRnns9pCYAHn1R+b2kxLyEpyQD3vrpK6/OII5w1dLJ1jpZeSFyiuottIrW/EO7EVqSttju2UTPAfg2I8sdFREHsmIQb4WN4HZNL4StoLjFl5B/ae4GHPdC67FHEFEJLEMfeP/5mLcHk5zkY0x9PUVPnh8hhWhLtfHYGu5v/bLQ/vKkBeWhVV4btMVT+xFzMQRxSibShfqvjZt9yD3BPUcKXodvDBSKI4E1HcJAnukgRdGRyIO18JIoVAoDga8MFIoPix0caRQKBQKhUKhUCgUcgBa3com6MczRWk7HXzNZOCaznGDZjCpEBSC9VFQiuJEHdoSg3t9cjEOk50p9sPQzxvct6IRFDhXGdZ2LwoO/ZUZ5HUzufOZ9lKWAxftQD/oIwtaQM1gt/1QL+65pgyuVxGRpyn+y4B8uIfZXXg4kX6/Drgu9nQ02e7hA+U7IiiTYA52V+qjoJj5iP5TSQe8+WAo0/jWteNd+WCnkDbDwlZQOz71Jtyn/+91uGpFRPZ66MD3XNRlX9qM/pwb7uFcYksk0/ijhOr4rUaIcTD9Z2wJ3L7uw7jbzTG53uzAIVamU/WlQ4Nb4qBU1ITR3xL0fv4usXgYLOIw0o36K8qH6/3P/UBPG7Mav3tPCJQ3Fl95rhUHprms7vCBrrqIivC+WtBH4hl7XB4WVplYgMOZZ5Orf1MG96wM47dqI6CpZRudNiJBtDMRkXqiQpYWoVFvbAWxj+N+pSk9qrjaSm/nvkdiHLVEx2VKspfqeGQ+2lBLl1hrLJJQSHTlCoo3xOWWTxQ9jpflJlpKUxyUPD7sW5fA5yzS4SYbk5tj37WNxyVrYOolU5H65cNG86HbPkStHmZQNmmx13HLJnynrBwZrluI95oXA71wPr07U8VaY6C9cLysCS+hDeU4cc8kF+gmbzoxPm6M90warfSgDfal9+N4YI9SnBYeD7jMvM6ebchHxapW9NlSH/K7mwSaXE7kJUN2uTEJ28QU78E+1PEpTti1J2IYW3ZR+5jdgvlCKGYPivYaPbvUj7FibCnGBKZjMz2J5zEjSOzn7UbQYM8pB63xlTjq4r1WtCHuP6eUgEotIrItijbFMYiyjcb3bdtmH57HcxeOm1bkstP7eE5VTrQupkF9NQSxhSoS6dlL8bZ4znBmOehQHvqdxwTtZkEr5mkTijB+LCAackEXGvL0ApTvhUSlu9cNuvhXQqCRMwWaRXjGFWKM2hFDnlKHUTTjjUaMvXxkojoH5bklgXafpPHni5WYr4YE4/y5MfSrO724//YQ6rHvmV+w5cN7HMr96lGYJ6z+I75/Vxr191dBP77XgX4y9lKMOT94Dve/l4aNPMuB+dCraZQz970v5drp+o9RHezuQHlwOTFd9YOgniOFQqFQKBQKhUKhEF0cKRQKhUKhUCgUCoWIHCjOEblT2S3OlJgqUtsqzAEFqpEUNQpJtaUxDrfZEIq9cEUKv7/ZY1cRCgrcm/w8jtdzUSHca8X0WnMioFOxssouipEQJD18jh/Cqkx+B37zuTb8pohIiRcu+Y0tcJmXBvA506Fa7GyOj4zh76uAbCZqTlu8w3YPx4/ZS/QaLhN28TMdhCkccVJBYaUdVvs5jmgGExNwR//q9+da6Tm3o5x+5bG7Oce64U7d4Mb6/cwoynBhDp79t3q47Zn+k0vxqIpK4GJfSxTARqIIdVXbyibWRfC+V/aZaKX/Q/GItoZBPZtCNNP1SVAyJpXhIH6lC/3qJKKSioj8g1T7VlIcKFaC/MZOVmADxYHjA0zLgfrSffXvWGmO6TPaCdf51XG8Q3sSbTDXY49H4CEKVjPRuk504NmbSNGGY5FdXzXJSv95+5OSTXSqOvbJK7F9znHKmObIVDqmCHG/YlUmjn+0ieIcMb2VlbeYDsvYEbfTZpkyxzThMaS+ucWNPsBUpeZEuNvPU0TRWlAPetJE6mMrWkC9TpGN6xpn7eCIDAcHpl9xGY4kdaL6JPp1miLAvUP0pgU+UKBFRIaFMbb8xI8ymd1O3GCiiVySU22lH0mjzn6VBxrLjY1zrHSQYokdk4Oxr4zGt99fj37yf/dh/BARWemG7d2UxvudnULf/14HlMXYPtvaFFFuOQZhtsFjAlPxT6H2w/S59WFSRPRh7N1E41o6H3VZ4kNZNcYwr+D4NpeRWurKlF0xdmVbjZUenwcV3BVE4WV7+fkKxMV6rgF2O5lBG7y2EuJCGym23Tle9MOdOZh7sLLklg479ZhFYVjNLdsYW7qPlsb9ncEU+z0Je/yyL5cjttHWDOryzHKUO6uLdirrdv0uz6lWkEoc0/WZ5vZgPsr5+FzU65/d+PyFMPqCiEheLqh7n3OiDZYk0Dc+VYDPL42jff3VQ5RkmldsNWjXe+KHj+59eimof4vpeMKgHIxTx3nRRloyeNck2ctrYijDtV6MV7/0wnYP+AFo8nM+/ZAtHy7qD8/SkH5WGmXyFy/q+55ClO26WowJOTd8G/mYeaeVPseJsetE4mL/w4G+cBfFi5vvsFMZF58Gm1PxHOqmmOqM+/rOFqhkd4V6jhQKhUKhUCgUCoVCdHGkUCgUCoVCoVAoFCJyoCCwQSiC7YzAFcyUq0EBUmcLw728Mda9ilNlLlPV4OJrc4LSdXzc7ir7LLlTf0JBwRLkBv4qBaHqNxLutBozzko/37TSSo8ohJt7FLkjV8b3WukqN1x0q2L4PN1FlSScAi2oNAAKBtPUjs2DwsjSMNyi2UBdbJ87dzAF0+RgaCL2IL4jivDua1tAIbiQaANLI3B/rwkjzepqHCSSqRocGHJSX1IqfBNleNrzN1hp53nP2PJ6dTsoC7cXjLfSs/0o9/dIveRvJdOsdEkSbaLFhTL4cQJqL05SwNnWivxxEFwRkfaObZItcH083wR1wyjRXT5XMdZKL2yDgt8tVVOs9CMty630dgoM6M+FwpKIPaBtJQVNOyEAmhzTR07PG2Klr0+gnM+sRxDLy8pRF9tScHNfnUAZshLWSKJXvlVnd19z8NtrBX3DRcqDUwLVVjqPlN3+0YAAg9lGp0Kl22E3jS2krMTKcExf5f7H9OENbaALsdqjl9Q9+wRAj+DvXl2ENrHToF/tIKVPEZErKk+y0iEK5MpgytyoHNj2/7SBtsTqhExjcRJlkJ/NdB9WRNveBhucbZSRshjTr7a0w74wtWqiD23+PAqYOs8BapqIyFUGVHAHBZY8tx/KZ/R2vG95PpQHRaCEVRVDI761crKVfjEKCuI4Cvx6y3FoHxLD71/6BXtQyfX/AX3uixm0l7keUGiKico21Q+a4as9jDknk1KkiMiLbRu7ve9Q0BIHvYaDty9tRl5KSJnxS0UYqx9oRB9nBdIc6pfLoig3pqeNz0EZ/r1hsZXm/iZiVxV8vRH2qV8u2gir4/EcgO8ZSvdcT/OQx92oIyZs83N3Ow8u0GvXALHZRKcCXUsatoyPLwygPrMhbFdQbPDjffMoQPn8Nij7XVkAmtYvaR50YwTtYHgQfTRE84dhFFSX5xh/Nuh7ORFS4o1jzB4XxPgjIvLlVpT7kiaMa0XUR483KOfP3AYa2E9/hbGyifLBdOuiLkGbs4m5zaA1jy/EWL81QRTEZuSRqatvR1EmJwZASeubRKv8Ec3Fr5+O+0ePsFM9/7MJZfpA/XwrvbAQtmZGHP2hcCjoyZ/6DeYxT5/xgJV+6mS0ocgu9DG3F2NlyzrYktMvQN2fdfE5tvyZtVACfvsd2Ng/0j27kgcXw1A9RwqFQqFQKBQKhUIhB/Ac8UqdBQX44O1gN1Zn8SB27TeksaszqQi7aqvII7E5hhVghQs7gGf9zr4LbuqwevXdjR3JX1GslcE3YXcjvggrw9lt0GVnUYn6OA4WvknpoUHs/gZpNT3Gh893uO0rz40R7CxWkydtaSN2T8LJwxenoF9g37uvaa6xPuNYKSL2nbuVzdjB5IP17Qa7IOxheLMZhyVPKKi20l5qH/MacM89pfDkzEPRSPUulMGJ34UnYOorV0ny/j9bf3/6xRFW+s5WaOmPJK/hmS7sTix14aDyaWm0iT8J2iDHXQjFsYPEO5e5rsMXUZtFDtjzyIeWV3Ygv1UUW6oyg3cKRbETw7/ZdZej3I//DfajTb5Yt8JKcxu5OIq2PmQ8Km3IMrT7NQl4DE4gz0OEPBXLG7EbOLgKnsjb+qBNiIjM2DvXSidow/QlJ/riXIoZMrqw2kpPLEYMtdey6N0TgWDC7nCj9M9DG2NvebIHT/iOMOwZx4Vjm/I2xeHgvsfeIq7Xe/bMw2/68ZsTC+DpExGZmEJ/Wurufs9rUxr1tzF54MPDLLzDed3djt3K0gD6HjMEWNhGRCSURREaLp9KN7xI9TloOxyX6uHoIivN8ZdeycfuqojIMoP+ULUEffF7e9AXFyWxO/updsQ7ebwRojBnlGB39icGdueH5yPf/5qFz9v3oG0Nvxte8zvz4Q0UEalzYWf/r4J3HSxog9vb0Qb/0d699y6ZQWVsTPQcS+mjosKPfMXpmez5a03gnV7ogO0Ylt/XSpe60faWtmHsOrsQ40Sc45tk8Jtnl8Jr8VYIfU9E5MRS9KFL3HjeGwIvMQsysMDFaeTVPi1OtvNK9JkvPol8+Lx4/7vJI8tiThyfScQu6lLg6tmr9FGxNrKPVTKAhFyaou3d3stzKBGRORRviO3c4uEYczIptMm8waingfMxhlxsIML0mAPeg2M9mF8uJk/h1jbMCQeQnf6Gl2JFZURmO+EdvikD7+KblejTS9OwhY+NICErF/rxFB/aRwuJUlUVwGYsC9fI4cLFpWAQLIqCBcRMHo6Jx0yVIX68t5dcmH9xYTwoEtjFoBO/uXIdPH0iIn911ljpS8sxvvP4M2YKCQ39+UErHf/dd6305ErYZ3cp2vnOhSjPeoPPr8tD2/r+bBpMZsMDKCLydYHXsSWJPrMhA1uocY4UnxjwwkihOBLACyOFQqFQfLLACyOF4sNCF0cKhUKhUCgUCoVCIQeg1a1qAmVlRDEO8dfH4NIPERWrjuhp7XRQuTENGtMjbrg9/S7QMIZNgSvVOe6rtnw0/M/PrXRA4GY9bulvrXTqxfut9Px5eN7oPLjW3uvAMzhWxmcLETuGD5pvTsK9HnDCFb63i9Y/x/TYFoG7lylbfNA52/sZOzv2uUcH5MOVncjYeSxtKdTHKaWog0FEi3yRNN/ZfR5ww73Jh7GZduMhil1JGmX7JtEJGjNw3VZdfY+VNkQ9ERGpduC+cwrh2r48imcscuEZQYEL+V4PKD8eoqONDcItvpOoJ81EH+D3yTaYNlWSQ/GvDFzY4/3IY0MG7uG3BG5/poKsaIZow3kBOxV1Zztcx0U5aIcnU93nOuGGD6ewT9K+G5/nUZwdjh3zDzrQeiwJEXTG3BIReakOFKHZ5PLvivlEF/p0Bu3xpQTKoK8LZbYldfjiSVQE9z2/OW7vpRxvqCmK/+V7YV84lgwLbUSIUsst/ZgAqCQsEtKShP3qzE/X33+5FvRIEZF4BeKKVAnsUS0dsv6Mv9pKb6SYJHxQneMwFfrwOw6x91HruSn0765CNYcLbqKMMDWbn392+WgrvSAEkYHpJPDi7CLIcMEI0FXiITzjxgQJuOTALo6i2B5L+qFfnbgDdvTJbbOsdOqt/7PSl9a/aaX9X7/YSv/gaxAQeNVhpzZtocPXTKEOliPG3+VEdVkSAz22U7RHxD4WDSG6iojIsshWyRZ2E02M2xi3GabIcgwdpgW9Vg8BG6aHlwlsyvIMxuoiJ8aPbUQfvakQZSMiMieD/A0mEZpXPHQQnPpPNI2+8Q0nPv98CmN+9HFQNf/pQNt0x/A+TO0cQHFqIin0bxGRONGVoz2IrGQDofcFIgYHMAZwzDY+UjEi1y5aVEE2JUnxxG7bg7nd3WPQbv/wNsa4eY040P+r0jFWejXFOZyUgN0d5IN4yFYaKwcZlOc7Att5XcxORSxwoHyd5Be4k9qRfxLodqYV9mFWBGNtDVH6OO5giIQ2so15EczFmf4/wI/2E6J4dYPdsFMvt4FOmp9H9PAU6qid5os/pXhqzWn7OzF1eroH4/PVcbT1K48BnTb0xS9b6UvWwwZspphe32xE3f8hjjlDXx/aQV/B+L8gBPptWReaZwuJq70ew299mcRednmQv8dD9pilDPUcKRQKhUKhUCgUCoXo4kihUCgUCoVCoVAoROQAtDqOCuwLUwAAIABJREFU0xNLw9U2nLTnX6xH7KAppXAxskLGIwPhfmvchXSf40EbyBkPWtCGs39vy8e0Rijc7bqVYgeE4UpPLYHrfZUXbrO1YSicuFjBIwgVjktIqevbBq7UoAu0iQX10JkvJ6qLiIibVPPYBV1KimF7I81yuNCpYJZK96wWxUgS/WRVHCoeTDErJhWdEblwYW8jWt2M4lOt9Pda3rHS3+iAwlwZ0aQmueAWf7wNSjUbHXYlv8FEs3uyAb91VgGet5m+Uyiov+Uh0EKqKL7PnjjoFdX5aJsNUVA5yvz2et3UmD0lp9oOPCdGVMMzCkDDWEpqPL8T0EdW+NBNf0Fu4M9TXKpGsdMoxxP9riGBNu3OQVu9xqAPPOwG9eHPDWgfX3LgnmMcFCOmCr/fLGjzW9J4VlsALvmGqJ3CNKYE/X20Af3hTTpEe2YFlKZeakb8Ao4JlG10UuC6UiSCRIUZVIAy2RICdYmpQwPz0MZY9XN9EtStjjRoHnGi7Ljp/oAbz+WYPsZw5BSRgS5STYqDsnAcqQqmSG2rvxOUudeITsoqe0xT4+f1z4dYxY420Ck8RD1Mpg8fDYiVz7YRxWVMMdTj3o2gnC8sAuXwh3VQ/3ukwE4p+84qtMmBadiXqMF7vf7PS610+52PW+nhi9EOmNomGZRhZgPofQ43bNw5X30e70CxcWZTbBMRkTEFsAm/rDjNSj+XBl18fpxinQRAhf8nxUA5lWKghDN2Klc2wfS96iDoLj5Sgd0Rh93p78W7r2pHflkcpZmoQ+vcsBVRahMLSOXy2Hz01ecEbUJE5Honymficfjfjs2gBv8tAzpVRwpt4hdptImWBMbN0X6kHzewte80Q9Xt+rKT8ZuCMbuB6NYi9thG61p3yOFCZ8xHF+2VM32KY7N9M26PFRUjM/SCH+9bLZg77V6Fuvnmqegnq94G9fWcVvSNZ3yg0m8hZb8NAirjiijG5peJAj02r9pK/92HdxARWR+FrWhsAc39Cj/sQ3ID+lLLGrzPFQHQZu8kFchyF+zooHw75XB1tEayhR10FGAAxZZrpzGE538Jojheng/a7awY8lRFSoDnCvreTIP3y3faFXxPyIHN/BEpTe6Ooh9/dyb63FeIrv+zFOrysgzawR2NC6z0ycWYV7Bt2BJBvXyhCO1mZgvm/SIi77WgHzup/7yTJMVE18HFo1LPkUKhUCgUCoVCoVDIATxHJRSPgHc/d9MuvI9W9luiWJ1dnovdqSUb6VAxreZ2LMQu5ZsrORp4rvxhD+Kg/LTqNCvtnHqKlU6vxYG+hjnYvZ5FByRHULyeFe01VnpAEF6db8SwQ8eH1wtc8L70ybPvVv8uB7sN9zjxvI1prIg5QnjfXBwu25DFHQURkeqCfTsW4STKMCP2nWUvCUrwjvVYH1b57wq8Luw1XNlWY6WvKIbe/rcpQnJFALva/X0oq23UJh70IF0bs8eKYjGCFYJyY1GLN73YjZ7bjkN5HXSQ9dQiHPAd70C7m5XETlOadlV41y+ZyWIwli4YWoB22J5CPXGUd+5jr9KGTYPBDg2Xc8ykbel5IexOxujQ8w/KJlnpW2/GD9/9R+yEfj6NOvtxZLmVLvVhl2r8GNq9mYedTD5gzN5H9tD1yy2TM4PY2Z/dUWOlX3Nhh+hyysf9gjrjmB8bWuw7wNmE9317VhEstIm2sJ1rpLbLXuR2EpDgw9vcxjheEHs9+PMB9JsxOoidMvad0GKK//JsCCIAUwrQB4pol76vQfo98rx66d04XZbTfWyurWHke3AhdhL5QLCIiN+Fw781zdnzwnIk+NNJiOLtJrR/bpM1aeTr1BKKgyL2GF19SYzioih2JFmc5i9X8u4sbOd95F0//xdo54n7fmqlS2YgFpKfBEqmFmOsZEmLrnGO/pZGu3fQyN2aRrsb5UeeltDuOsfp4rh8ZxaA7SEiYpf5+GjgOEc5lOEktWNuM+zpmkPezGOJ5bG4AXV8cnCAlS4i0aBLy6ZY6QcTGNMSmZRMd6Juhhp4h2laIqcYPPt/m2HnxpWC+RAij9tvcidY6UU07PocYAswk2NYCh6JN12ou4EeO3NhaQfqm21LttH4PrPg3XawQtgLzKyhh7qEAjyFvAHDyDxdOJDGtRIUygtz4JV7JYT5wzfKMa+7x+Bdhznw3VUxjD91UcxB2U73dWFOKSKyO4M6nhpAe+nwI7NDB+G9DYmvPBWCbWt0oAzOq8AcaD0xb7rGqcomziiHnVsfQb8upfhXbKP/uQeCSc8WTbXSLTTPWk1xC+9NwXN3YQDtXERkQRLvuDmDvjE9gcbwAvXXWzxIPyCwnbkudLInBN7BNwtgm37fCAYSv89ZZWCRPNe61kq7nS6Z6YdNvyoHY0NTjFgsZCNXtdbIweCI9BzxwuhIBC+MFB8dvDBSHBp4YXQkghdGnwRkutDWjjTwwuhIBC+MjlREDqMCmOLIAy+MFP/94IWR4tDAC6MjEbwwyjaOyMWRQqFQKBQKhUKhUHzc+EBaHR+irIlgBRmKY0VeTAd4w0nQf5am4fZ8jWICXOqGW/UXzUvxMFrk84FnEZGrSvDs9hlPdZvX51vxu3UJHMj8mgeUhbfJdcgH1tqJjsaHode2wEV3WhkOtXmS9l3ldxrwvGKigZX5iB6TPnwHXzthj8XS3uN97KKvCaNsz6uEFvyWBFzEaTpU/FYMNIMrykEnOIFifiwnqsA7EXg03EStYGrSlla4y0VEzq2A7j3HHprjqrHSQwJoI0zTOImodCfEUU8PUcyqNorBxZQBjiOTbXDcDhbnyCe6BR9g/hfFJZlcgEOKRRRT68U6kGD48KGIyJnkhi8irk7zU6CZjIiD9nZ1O9zwLCzwLy/K6s/rkNcpJehXtybgOr/FA7ojx4OYmbTv4nGsk9MC1VY6kEKdTfEif/8halqAKFNtWWZCJjL76LntcTuNhWP+VPoh9LEjDKool1tdB+rvwjLQMEYKaBB/cqD+WqlNGhZOyMGzONbQ0jZ7PJoJ+RATcNN9+RQD7MEo+mKZB5RpbvcsyLC+dWe3nw/NB0WUD3EzTbDVcfj23djGLmyGTf+fctDQnmhBjAsWHdhLlPC2hL1N3paLcv93ADSO6UT7nPjMF6x09Hf3WenyZzdZ6ZOmw56tacUY0vL0N630pTciztHcZowfS4k+2pAPeqSIyNY2/O6qYooF44Pn/ZF6xEk6sxRjFrdTPrQ+L4z+mm20UZ9nW1AZBN2OaZyP7V1kpS+rRF1WOVAmNUGMV00ZUEO/lsRvnjoUlK7LKZbbjk32+p7pgT1zbUGbbnJTXB+K73g6HUafGUG7u9sF+s6ahhorfVIZdrXPJvriIkG+WRxpWsYuyDCTDuGXBvC/utY9kk00RveNxWfTuNtMNKSFNL+Z2QQBLhGR4hLEDTspjj5fMvNBK73l1Jus9P80zrbSfFzihBjKYZkbtvBVoguHOe5dHtq/g2xNmmznwhb0SRGRXUF85w+G6H0bkd5DZnWFYO7x772Yq3KsrVE0RrV2GeOyGY0vnkGbTHahV3eC2Q4/pLKdeh5ykv80xp9PNaN8jiV69D31oP/eXzjZ9ownBVTRGwz62bQy0OT8QQzKt1Whre5ZjzY8uR3UuPwE8vQ/ZZhT/qsZ4+NNMYz5N+TArq1x2gVChpEQHHNp8umIDAt1tX1AXDf1HCkUCoVCoVAoFAqF6OJIoVAoFAqFQqFQKETkALS6JqKysFpTkmL5MKKk9rOwhdQvSuGurSVd/2H5oAMsbYSL73slE22/m3sM6B2+saBTOYJwlT3zHuherLT2sAuKHJeWgjb2ajucbhGilTDl7LPl0FNn3CHbbX8fR673k3xwzy+neCOsrpJt1LTW7pcPVpoSEdnZgXJgmlwxKRK+VA8qSlkA3x9eALdzkty7IYP63k6UvroMynB4Ib7LZePJRR2xcpmIyLIwyvfhPLSFXKIg7MngeRs8+JzEbWQRKeuc4wMNbFeQ4iWE8WyO7SAi0pFFgaCEQbkNL0C73xUFfdFJeWe6SQd9t5LoUHupjuJpO78sj1TKTjKk/nfHhVZ60h+esdIj10DJ5z2iU81vQ7/8aj768X0hxJ+6PQC6wlU+UEl+Teo9ri40K44p1U7vF6aD/K/E0A6Ylnp+Cfrlox/gFj8UdMYM83vssRCY3tkTDa2E4pRcnlNtpS/wg5YVyAOd9MsDEIPoW9tBC5rbjjIPuUDV6KS/iOyvRnmiA21hGynRbSXlJ6b61RHpgyk7g4mWUOjBu+2MwH64fKjLpiTaVtCDDlfotatGbYtlL07L5UVohy9HQAtjKl2/AMq2jxs0vHaiC3m7UDL2xFBPZ3agXX2/AmpPiQcesNK+az9vpcO/BL0o9fBdVnrdw6iXf3wdKpDvtGF8TJLd6eOHWmNLxh7/7fuFoJrNz6AtbEvDnjHVuYLiv51bhBhxP4+AGlXpA8VERCSb0XQ4/h9TkRirW2qs9KQyUM8WdqDvfyEIm8KKnhw7qH8ZYktt3A77+nwKtJ470/bpToBiTb2VRvte045SYPXN9xywi8dSjKwyD9rX8SV4z/oE6oipUHlO2JYqUlcr6sKWqgjARvooNku2j8iPKNg3b1hB4259B/I+llT6dnSA6icikmdgC86cirJOvfuqlfb6MTYx3etiL2xQewrvN9INWzioFJTkZ5rQvzlu4F2lUCc8OYP6cpXAToiI/LMWtM35FRDneDIGGzIzH2X+wy2IrVfkRz3tjYEWHyVRl7oI8pRtLCIKHMcCitN8enQR2t7UGMrcfSJoaD9/Fiqc3+oDu/ZICGX75XLE4Up2oa1/O4E59/fcSF9EcZIqvoO5xLxvI07YNXHYHR43+ZjOVx2wZVOCsGXjqG3dtBDt4/Nx2BgRkdUUR5DHbD7KUB6wq0L2BPUcKRQKhUKhUCgUCoXo4kihUCgUCoVCoVAoROQAtDoOOsg0jj65cMVz0NR8UtLi725IgK7gygEFhykZn6kEVabF0YXeVEvZXAHFnlQ73OIbSU2viqgCHlr/LYvju0wf4SCiff3I361xqGjM9ONZg3x2ysh/2hFEdkEGLnmm0vUJEF0iywpBQ4v20QjWUcC6saXH2u5hyiNT47jOmt1wQxZTvVaS6/+NEFRGalwo83ACFBBWzbuIlLrmE1VisK/cSvf32gPsbouB4nD6FLhTPf1A/7l9Jqm8kTpXNVEn/k9AAVjSjDJn+hwrxPXLBRVHJLv0hdFe0EHXU/C1whyUbZSoY11paJ1Y14HyyPOgfSYybbb7ihygpw06Fc9zTzjXStduAvXBLaRO1Bdue68PbaVmL9rQs0T/GZmDunxP4BYvJcqm32WnqY32g2J5Hrnq/+BEgDsOwrwziXd4thEUgGyj9H2qIvcRETtFiFWTWPnwK7lQCDwljv7wXhw0gMlDKLDtVZ+y0g+ESV2yz+lW0mwHLaH9Cbz3v7aArioisozK/fQU2sUtzQi0mEu0t3AS+QsTf3RBDMpUrJrnIToTU6DHlICesj2BHuNyHr59t0UJ0JV5nGG6sCHlpn4OtKM3iOo5Mh80ZBGR42hM2OUDrWiZQfqKV0BV+8OCF630Mb/D7+T876+t9KgRD1nps294wkoPywP1q8CFevkFUeFeccAGi4jEqD6OcaCOl0dgV6+jwLSjnGhTt1Jg09YE2gqrfmYb9UQzcpKNro10TzGvdsNefCUDpdyT/KizMXFQhLYTNXtSDO15ObElb8ng/X6TYw88PpBsbD5R3Y4hmjAHz3WR4uivnKCaJVLIR9iJ764OwoaUGHy3Oon7E8SO/XaE1HtFZEw+aFKz61fL4cKy9/szE3V5jrctgv7WNX7ZcoNx5/W5oBqefyeOMNQ3YJx5w4Hf2uvAM76Vh/bZEkX5zKW50reLQSv9WR1iYT6Wwbxupwft5uE9c2x5vawKdLE48e9/LSjnJa2op89VYu6yIAQabP8AxrvNYYzHp5TaY+68tTt7wcpHFMJWrQtDJS5CdvwyopbGUmjbo777upW+LjjCSv+mCTTDB4nC9ijZimDGvkQo9OF5wwX156Lhcv63UWc/d6PvfteL/I2Jg693RQp0u4VJ0JAvnkjl50a9DBPY8xlOe3BxPk7CZcOU73FBjJ3bmnqeS6jnSKFQKBQKhUKhUCjkAJ6jXDdWWxtCWK3yjnAdxWMJ0gEtFnB4txmHW+OFWDGyx2BFW42Vvt5nP0gXKMeyNGcAPB2PPoeVa7kPu+5b2rGTsNFgZck7i3wIOeDGrtG1HuwieGjluZtiZazqsK9WA1RO9THsluVRDBs+0Jxt7O3Yd9hsZDEOwgWd9h2ez1DMiyUkQrCxFe/CB/p2RpHf7RQjgw8Pn12KWCBLI/BajQhgB6mEdkKv8MMj8auGBbb8lfiwS1pHhy1vWYwdk6/Mxe7BQC9+920Hdkg3OdG+1rehzfJONnuOBuXTbjHtKmcbr7diR354Lrwm77Uij8eReMWuDuRlCu2wDclFu326FbuJXT1N5Qbl8/I81Me5dyDmhD+AcjgjjXLYGEI/+W6G4xbhAPTQQrwD7+7tboeX+Pwq7BS5aOdYRGROK34rUIjdrFX127p9JxYFWRfK5rFxOzo9EQ6Hw7bbHU3BFpxMO4R7KG7OS0n0pRwvPAOVtKv21Lt4j8lrl1jpY/9wmpVm717mWOxM5jaibJ1wKImIyKwWxAN5ibwmA/NQr/EM+sbgXLSJda0oz2If2peHvGWtFBNoYgni7+yK46Arx69JZLoX7ckGcskL+W4YZXJL5SQr/VT7Oit9X+s7VvrMMnj3GtP2uCQDyBvzIsXY4MPD7CFflMLzznv6eSv9zv/AW/cn2mnlMmf7+vwU9O/tK3BYeLHYvcE7EmhrZW7kacVklPsrS1D3u5N4n7URlAfHGJvXgM+zjeFFaOvs3WcWSg6JYiyJov/cdRrGTkOxzz6dgb3MvYvcdYSxT91rpTteR0eZ2GAX4PhlM57BebpdMI4uzoMt3GswB3iCPO23kCfoh060qbwMxuB8B/pVJYnnFHjwm11j1e2Io21z39qZsM8/PioK3o/hNoo8qRy/bJQb7fM/7fb20k6iTNUkHpN+B/3hxxT3cNj/Z++64+SqyvY7OzM7dXtLz6aHFBIggUBCiUEEQQRREEFRbB+K9cOoCGKBT0UR24cKIsJHUQggRVqAAKEkISSk92TTt+/O7MxO3/P9Mdn7PHeySxaYsIF9n9/v/n4nmzv3nnvKe8r7nOd14jvua4Koz+0kcsMem+ODmJM8T6IZXx4EgZE7GuEBWVsAL2qw0GezfwHy/P2dBAjO9GL8qRDkY1ELvpVj2MUz+OZqjmVpDp/NG0pe1XVJfOPU0lorvSyOdrGe5qTn+GCv/zeM72Y208UhzMdqi+B9+50bXiQRkWX7NklPqKtGGW5OYsy60Ym6LEugfDqprVd6yVt0HImvnQ5bXTDrdCs969n7rHRFIcZZEZFXKaYqi10xU8z71ssevLNPdykUhxG8MFIojgQU5CzmFAqFQvH+AS+MFIq3C10cKRQKhUKhUCgUCoWIOERyAmYQvF64WUcW4RBaXRgHb/0UD4TpSkmKhXTZIByEezwEV2VzDLSB44mq8WWxHxItzsC1vdGD9dxM0nL/oRMH/f7bwNX2vwX4+6tNoDaNKsGuwgRyuZ1j4PZ9hVx0C0MQXTi/FO4+EZHXSehhewTvG1sEGkVbCu7Jrc2Id5EPVBdnaT5lHnhgmuP2w6dMURodRPmyYAVTZPj+XR2g1Y0rAZ3qeB/K+QkSauC6n1ZSa6WZ6hel+ACrQnW2vHL8K46DMSyIw66jPEif6YB7+MetoNDESYSCqTFjAvj+9jSoAIUOu7v1zYZXJV8YXQH3coroTUw/4jLneCd/Enzrr9y4f3E7XNz3ePF8EZEVXnzLZcPhbm/YjTayLw7aTbML999VAPpCK5XPXqL6TS0G9YQx04l8PxYDnbYlYacIseABU5UqfMjf3GLQ116JgB4zJwixkbt3PdxjPt4pPJ4sFcj0bhZth/3HEb1wUxsoP6NL0MbqO9GvOL7TKB8EQMY4QZu4NI7nVxbBBt2awj33teMQq4i9TY924R3/aQX1soPEIwqIZjqjAnTXSAZ10UZx7ljAgePIcYw4Hx1e51hQIiKJRP4OJ39z5EVW+o6mZVb6uDK0i8WNGGd+PQgCF+cWo23/pAMUbRE79fUPPvSndie+916SaXETTecigz4624/63hIGZeQLnaARfa0cB6C/VIkxg4pWjt5gj6fncuJ99xL1fPY16HOf+w21QQeJ7QhsDsd7GUHjukh+x6bKYozpNV6Mq0ESoDiGxFye6ED5P12BMaBqHNG1KPRTyc1XW+mujfgm5wmgpToC6AvJv/zYlr8H/ox0nLaJ6wt67vsfSmA8ediLuthCsXVOE3znR5wYg6trYf+adsLG/TKDPvPvJlA5RezxWJiWuL3Fft+7RcBXKyJ2m3xq1WQrvboD7TBENkRE5Nxq9JMaB+aClyTR3r7tAB2U37G6FRTqnw46zUo/mcZ8ai/Rlod4ULYbOmBPWCzmOBKx4DmGiEiMxt0aoqWeIijnQqr6X0ZQzk2d9vlUN5hivb2z3vZ/+9rzR1l1ujGXPKlqYo/3VDgxnvPc4C8ktlBPsb2eonrZkcDYPsgNm+UpsM+JVoRRZ/d6MA/eR0Idoym23h8LsSZYHUe9bgshzWuI+jWgzHURxX7BeY9Y6QT11W+12o9n8Lh9YgXqpqIAFNp9afTXl/c9L71BPUcKhUKhUCgUCoVCIbo4UigUCoVCoVAoFAoROYRaHcer6SS1psGknDKelMleb4dqFbvKmErHinYZL+hyTuIT/E/SroixtR3qFyOLoaRxP8V52dAGN2u4Aio5boH7m3+bJvcuu6znt4JKxd/P8XBylbf2xqAqU1KIPDFNKmO65HAh4M6WKVPpmNqW++8VCdTTyVVQGWlPgPrHSntTy2qtdB3Fk1pDrlRWbeH4TtvI1cxKd7NLECfiygrELxARWZwGjY9pVpE03LVXkfrPgz64z6O9ULQ4Ts2a9jorzcosW8JoZ/lGgBQRj/HC9b86jvJhFbaPlqBebhG0nR1xtLWrS+AuTyTtscG+dRvUfFzT5lnp0hVPW+mCKxZa6duoee5PQC3wdB/ymvGAQjamC+o9SxxoNylya28NoTxHFdsPx3akQc/gfvL5EsQ7eyYJihCrFq0iGmu+MbwoS3XrMnZqDfetaqLG7SfK3NhS2EKmS44vRrmdQmXIb1iSQr/6bgHqclgCFIdSUmL8cMlRtvzFBO9zka3iWD6j3cj30k60td6odB0Uz4ljRlQTVSkUB+UpSjauq+vw2bsnooizxIqZrDjGSokPEU1n/mZQtz4zZJbtuawi+VuDtvtRJ+r1n6Nha369A3+/smGxlc40UXxAakcnEh3mUh8pkT36B+TpxB9a6aEBUPVERJ4YDppc2SzU059+g77Ipd4hyEfIoO3weDfLb6fHbpX80ep6o9KxUh+n5xSD3vnDOPJ+Lik8jqFYcEf/4pdWOlFPX34LqDLB00HPa33EbjdOLML4NX0n5ihnkKLh3hT6fciL9nEq8fBSRNk+KYE+87yg7w7fgLHoMVLW7SAFvGAhykhEZG8EVCdjeqf5vlt008/dNN/hOQ63F1awFBEZTQqPaynW3rUU+MZPyqmvtIEefelg9L/1BuPB7ji+ey+pUZ4VRPtIBdE+JlHszPsbQV09pgwx2EREhhNd7N/7EVNqKSkX8/y0JYY+VuXHbxOkNhjOoL455qeISD5nEzyXCdE7PaT2uC6G9n1WGdSJlznQN86Mody+F4bCaYkH9Xi5B+V8Y8gee2uBD8/9gwdt964fY5z57c+Qj4fJLvLxmq8X4h0fG0SxSx/7u5XOrAMtf00hbMmfGnF0Ym4l6J8iIsvD+A3HwAuT2nShw96Ge4N6jhQKhUKhUCgUCoVCDuE5ErFL2rL3ZHdHdnU/3j9EIrQqG3Zgt6sx3m7F/0lkkjLan905bkiG5OgD3qaXQ1vkY6XZleiWdJtNWz935/aRslNEROSbmU0yN5jdEViRqJdG2uXm3ZVHCw78vQuxHIYXVcvuA+ICQ4MV8pUDEe1fNe0y25HdDX1R7B6jacW1IpI9lDiedhb/rxkrar/LI1UHtNo7Up0Sp52FLR3Zw/DFhQGJprDizyfYq9cd0TuZSdsECYppZ6AjGZOhJG7gc2D34csVM0RE5J8dEFgQQTwer8stx5dmvT5N6YhtV6nand2BaYi1WQc3q/0l4j6wu5HqytjiDa06EC9qUmCivJK2x4FicYhu4Y4yb1CmBw/sdCZEXvd25zspt+7DwbxjK7P52xltsMojY7qk/cAud4HDYfOMtdJu+eHENA8Ozd/fkG0/E0uG2fT4OSJ7/MDOR4HDIU8ciGMzzFcpdZEDXobyUdJckN0VGisir3tRtqeLyD+/kPWCXrpinvx1xs9FROSLtx4vjsHYUQsWHei7IY8cc8Abt1ka5Rxf9p64GLm1IbtT88WaWbIoViciImM846x3ixHZnMjW33DvCPndvmz0cleBU35Rne23t8Y3SxHtynWkO2WIN3uQfGe0QaYUYedpaYY8sU785pmWbBkMD1bZ4onlE22JbFsoKQxKJGU/fMze1/YkvGVsL/Yc2O2t9pdK9YFo3WmTkQ8fEHpISJecH88+5yGvSz4ay9qsJS6RH2Sy7eP6gj0ywZ3tn1GTki8lsjvTC3xJOborWx4rHJ0yuwt9+tmCsExyZHcXd0tclsWy/bXcFbQOL48uL5XFkezOWmGBSyrc2fsjmbhsbM/eU+MvlcYDh499rkIp9WS9Few5ErF7aHlcGHnAE7sjtF+GFEEoYFdrfr2yZW7s1j+4Pxsv6vzBM2z3vBnNftNQT7m0kbDIOYOOtdILaKf5+PJxEiw+H1nbAAAgAElEQVTIenjjmbRsDGV//9GKIbZdxKGvZD3v3x4yRL5ZmR1P/rdBpPmq7M5o2Y2vyksHvOFzmpfKjErskg5zde8Ax2VVe7Z8akXkmGMuFxGRo7w1ckEqe88N0ijPTYLH+YWN8L5+VNqkc213+yyXOHnNvMSWWJnM5m+4u0TW0s7yxYOyXue0MbI9ne1LLOSRL3hpZ3tVW/aAdbk3KIUHDnonu9I2sY8U+b6eaMzGZDm34lS5PpEdw+9wjZEbDsRe+ZeIfOiF7Fj75ESnnLouWx4vTgrInHXZfvzm6SJzb8nW44NDXTJuDbyOq2ony+1xfPN/12TjVq3pCsuOZNYGFTpcNhvEHqOoNZZl5ML4gXw7RH7uyubjTPHJv7uytvobUiWrPegnR5nsM18Ru3BJYc4B+O74RvsjrTI4mI03tKs1v3GOJpRlvWvbw/U2L/7mGLzZg33Zd29N7bOJG90ThuDLtOBIWRbK9o1pxbUywpm9b0c6LLNdWY/8K7LRJtyyM50d24c4g7KoY7OIZIVORh4Qq9kbaZErB88REZGkGKk9wFhYLiJlVC9rkmCbsHjYVDdsUJNJSLkD7x57QEynLdlhCcgEXD75ni/L2vh25CX5wqCsd+vR0DoZH8jOW9eEd8ogH2I/dXtFQ+lO2XiAwcQxvvIF9ox3j3/D/VVSfUBcoj0VlSixay6JZ7/1eZ/Ibw+MyWeWzZavdsF79/Oqk0VE5DfhN6S121NWbPcYhYlBID6RT8Wzc8OTPeNlsAPezplXZ+O7XewdI28KxscrD8Sf65C0XH6A4fKGU+Ti47NjVGSXU0pnYyxjtC4jYTdntq38SUT+WpptE/+UNvHmeILa4gfeHRQpKcjmL2kykiRPkj8nDmhPcIrIT3r7T18hGgBP2vZQoEdWVOF7eGkzklWZKPDrNB9oCSFSFgml7YuIf/gxmMUDcG+u6gTthtWR0kHc83wjOm+YAhleVQ4X3wiq4KVE2eleGIlkJ0vdeLYNynUi9mBaYZpQNSXgkmclvygFd8sHgt7sRKqQAu+GEvYAhxzEjBWzhhQifWYA1KW1SaI+kHv/pHIogLD6S7kLlI8tYZRhKSnoddHA15JBOYVz1IF208KIA8KeWIpJhsuN9/16/0tWunthJCKSICqJ1WHEvlCMU7uLU3BEEZFUOn8T8DMqQIF7gCZkcQqix5PMMT4Y+CdJCbA1gYXc5AD6z36X3Qm89yH0jdduQ/kc95WTrXTiP6CQNiXR10cR/eqWBriwQ0SVGEFu7iUJTHwfbYSK2q9qTrPSm8W+0ChyoQ6Ge9F/9pLSDU+sXm4F1ZaDmUZJZScf8B+wT+mcIKadtNHA7ZhpJqy+OSoAuuY8Cgh7LilsjqLgkScYCqxdCDt6WQLl5LIpAtkDWnrJ2D97YAErYqfBNlDQ0+6Fm4jI6jaoArEdraJg30yxYzBVtpaok/5Cj+2+UKxR8oUxJbADzzeCGnIUqYOujIJmnaH6OrEU9uGxJgREFBGZQP1pRTvoGbP9qL+PrQft7N5RmJz95DLk6eyN2ARZ7Uf9jSRaT3kU6Yv/coeV/i+D3/7kKHufqWtGfQztgo1c2g4b205Uug0pjDO7KYDsWWWgZG4lG9fWFZfdHXWSL4wowniyph2KZ0w9DyXxjSP9mCd0L4xERN504p51HrTzP29Hm7ytAQus2xspWOsK/P2anfbIyYVeqOmdHKTNGbJnPK5dmEQ6Spt8J6VgK25wo4+tNbDVPlrMD6HA6LsF+WtK2TfpeAOP0/nsSyIiVYHsIiFMdZFwoB1VetDujKN3et8u2uQ7nvrM5AL8fgXRyP3UDpZH66z0aD9s58dLQEUdTlTu/Q7Y0TpqwwE35nLHe+yqxzyJ7nDCJrTGUe4/KcZcc3Axfm9o/lRANr+YNvxWtcBmNMfDYrryt+nqo3lzjILQjvOhrHYRHfEaA1v2jSZQ2172oNy+VwLq8ePtm630igyeE86x+48KynqWD86Cq5/GPDtD64AziqAgeikpGJ42ixSvp6BvFJTDLrb8B3PQSXRsYIYLc9CtTvucbRUFNJ8SRBuMUYBeXhhtDmOzJBdKq1MoFAqFQqFQKBQKOUSco7Igdtlqg1ihdpBnp4M8JTHaXT2jAge3POTmb+rCb93kwm2jQ2atFBNIxB4nhA86n1GJg5PPt+JA5Wnl2BmrS+K3X3aDTtRG3opBGezg3taFHcftEXhAKr1Y0b5VDKHhtPsVpx1uXu3nO05BkT+7Q+cq6P2gWYR2AIaT2zlNK+ovBFGeXaQ5MZp2uIeSd+U+H1bzbb0ceOMDm/dHcBj6nCB27UREnunErguLVwyiHe7XWyEkcVQp3NZrW+us9HWDTrXS68hbsYV2UbkN7SMxjXTGLmrQHrXvNL4bcF8aRgetObZSER1aXtaKHY2Z5fiti8p2hBM7xvfWI96LiMiPauAhchP18crPoB1cfA8dBqZ8rEtgVydAeeJ+z3GmhlAMgbsakI97SmZbaU8OTfYeL3ZMH6Ud/CmlOCCeawe6MdmHHb1/7368x3veKQYdEDrg3UQRkSEBeNbqyZt5SiWEM9rIG8oeybEe2ITZ5CHaWoB7SonhXNEFexKkYlvtxP31xk5zS1GfeboB5cl9vYy8rWyb2Hv8fAN2AKeW11rpMNV9OIXd8SISxeGxIJHjhe3o3CH5wtE1J1rpk7zYHfy/xtet9MQS/J2/dRMJ99SW2EVCpvmxE7qNvPvHedHe+KD6NVUYW65qRF/kHeozk+g/vi5U5l0etO17/niKlXZU0G71Luzmioi4Tvu0ld539jes9PWt8OLeS2VwLMV9ipMXfVsHxjWOWSUi0tLR+07q28X0GojCsI0+hrz7PHauaIF9n1aOsZrj4ZxIcWW6KZAi9l1eP9myhW2YF+SOjxeXQvzlP9Gt0hMu8+N9XPccO+7hnWg3M7vQN/ZlYBf/6UHfqKJ4QK8lURdrqIxERIo8+H1bDO0lk8ovRbXwgGeby2d4EDaL68iXQ0fa2QkvFtsCFncKU2ykYyrRJndQTMiTS1HOr0dQ35MC6MdDnbBf9WRrd9EcL1f46uN+tLUXqayHuGGHL6D4cden0ef4WacH0B6ZKcECNhWFeI6IyBv1L0u+MLYSHq0dIZQbi4xxX2aW1C+DoBs/5UK9bKBxnudEbcROGRGwx0E7thDvm5ZBO74pRvFLaX58UhnmeQu+gLlccgO+wTUYnqMl/0IdZ6i/JagNPu6FLWN7JyKSpHGniBhCvH6xjiWISFuk534vop4jxREAXhgpFAqFQqFQvBvwwkiheLvQxZFCoVAoFAqFQqFQyCHU6tgVxZrhCaKIsct1UgkONS6P1FlpVtmoj+Jg6IeqQL1b3gJ3/iCKoyRid/mdWzXdSi+L4vAV097ilFfOX00a+djtgct0uQvP394K1yurU13pgdv3KS++QcQuLrCXDiVWepCnaPrwKNWJiAwJZA/r8bduC9ljOrBYw/lBoiYY/ObVLlBJfERNKHDhO5a5qS678N1fSYKas8eNZz7hgMt7kAf3JOmQ9K6I/YDprHK4YpvTcAOfRhQmLnMWWHg4iTbRrbAnYhcOYdU0D5XLEB8OPYrkl1bHB91ZibGLDri2kqJWhuLEbOjAd3yM4hc8H0H+PksxBEREnknBbX2mC/Sh8+5GebKgxnpSfWSq5TFeHOwc7rYfsu/G+BSpTNYgZtWLVMfrMvY+8yaJAJxVhVg1r4bh5uZyau6Eq77tMKoLdgt3dKu0daMxhvcX0+Fo3l0KU+wmpoNujqN9F1AoE69BH7uc6ABLCvDuxx0ot6f3gS43u9oe54hxdDkOwnMcjHqqY6ZObCSqGQu3rGvDIXo+6MzCIXs6cGjW+Ra03nxiHFE6i4iyfXIFDm8Hif6zKYHyL6Tvm+SzH9g+n+g1d7tRH4+TIMqPi3CI+dzdoDZuofgaN1SCTnp5Gw5DM/adgzpyDKZYYs88YqVvutVO8210/MRKP0z2fU4xaCmTSjEGr2xDnjhOCo/rTOsVyS+tjmMbTSGK5j6K1dZOcbLKvchjisb8n9WAdhgk1tRdadjFbVGiTJEdZyElk3OCIESxwfZFkSeOj3NUAr+ZfRTet2MT3rGyELbd14W++wxRJ48R5OMRosXx3KbUa7c5THObWYUxccm+/NLq5lRmbcnWGMYMHiMric62vtOulBd0oY5PCIASHfJjjpghO76TBHS47ivJMKZo3vViE/oei1Lw8QWOp3dMOWh7Y9N2e7SS2uOpRG/+YRwiQvsjmK8E6X2vOfHdY8n+8Awhl3J4uMDtpFu5WUTkyRCEwiaQsvKVbaD3VfswLnFcpvJCPJPHjI6ceetQN76xiubTV/oxN/vq1Si3xGuwJ5GX8KxdWzDHf8iN++fSnOEznRCuml2GOWsr0bfHFmN+ImKnQjL9e5qn57WM0uoUCoVCoVAoFAqF4hDQxZFCoVAoFAqFQqFQyCFodazkxZQtDlTWSvFjWlyganD8AqYUfazmGCvdTgpnbnomuzZFxAp+JmJXtjqVaFarOkABYbfZmhbQd54eAnrRi1H8vY7UPy4aDHrSs+SmvLoVMWFyKTcBckE3Ev2HXeahhD1mRT7RHXjSRy7PrhzVlgApybxMqi2NSeT3O77JVjpMdK/9DnzHfzqgONcQBU3nWXrfUWWgdnC72RUFvWVsOdyqucpWLzXClf6n6rlWeg1p2teSUtu8criQb6KYR24Kzrk7jHdPoABttvxF8hs/gjEkCBoGx85YRnTSCaVQ5vlQNehzK8N1VvqxNsR1+WYpKD7bcoIJeqg/LUjg90d5oD6zhYKtVpHSzqYw6CObPLjnQYpV8uVq9JP5UagvMu3ojwko/zQneld4dJEqTTvF55pTAerY6xm4vydS/IKXw3ZFr3eL7gCF7TlxwphWxrEfWCmpN8z2ob3tysBeRgXt+Rbqn0+0IQDf6CCoX8dRMNEqp90GPdaAOuAgi+dUgLK4tAmxos4YBKWuhfWglXRTdEXs9GmOZ8QUR6bScZ0mM/Y+nU/wuPG3dtjoCi/aMMepOjqA8m/3ovyXhOyUikv9aLsznRhzCovxjRMTVCYUU4jpbDd2oC7+VgbVSBL9lM8vhe284SLEOdoZhV2LYFgREZHVKVCSjqUYQo/TmMiUJKaljvVh7GtKY5xO5sTzyidWtIF0xIqbrMrmJ6ruuADa+jFu0KaKiV04NIV//JcTduBLMdhRVj5rc6GvDnaC2iYi4qW94QuqoQY2g1TmZgzGWPn0ZrSjClI2ndSF9vHlpkVW+rzBaE83tCBeXCcFUB5TClpQrppeFVFz32w9fKJFS1qzNrSCaI2DXOhLMVI6HOK1U885jtoTLVC65FhWc4pQ9x+j4wlXFeC3d+5H+QwrQt2XU4wlDrw9y4sxvz2Av3OMvjqHfQ70wn6MnesDuM/nRBtke8ax3baTsh5jcxh0u1Mqeqc6v1uwbZ1F8R55HlvjxZxqfQeo0seX4/6XG6Eq116IMc7lxHezIu7pFGdKRKTEwIg97aF2bDA+7voLyuSGBOxoDak0LhXMtaYJxqtzQ2gHPGda1Iw54WBSjt3VYZ+zTS2rtdJumtNE6KiAy9E3+rd6jhQKhUKhUCgUCoVCDhHnSKFQKBQKhUKhUCgGCtRzpFAoFAqFQqFQKBSiiyOFQqFQKBQKhUKhEBFdHCkUCoVCoVAoFAqFiOjiSKFQKBQKhUKhUChERBdHCoVCoVAoFAqFQiEiujhSKBQKhUKhUCgUChHRxZFCoVAoFAqFQqFQiIgujhQKhUKhUCgUCoVCRHRxpFAoFAqFQqFQKBQioosjhUKhUCgUCoVCoRARXRwpFAqFQqFQKBQKhYjo4kihUCgUCoVCoVAoREQXRwqFQqFQKBQKhUIhIro4UigUCoVCoVAoFAoR0cWRQqFQKBQKhUKhUIiILo4UCoVCoVAoFAqFQkR0caRQKBQKhUKhUCgUIqKLI4VCoVAoFAqFQqEQkffZ4uiMM86Ql156SaLRqHR0dMjChQvlhBNO6PX+qVOnSiKRkOuuu+49zOXARl/qaOnSpWKMOeh64IEH+inXAw99qafKykq59dZbpb6+XkKhkCxatOgt+5siv3irOho5cmSPfYivU089tZ+/YGCgL33p2GOPlWeeeUYikYiEQiF59NFHZfz48f2U44GJvtTT7Nmz5cUXX5RoNCp79uyRP/3pT1JRUdFPOR54mDt3rixevFjC4bDs2bNHbr75ZgkEArZ7amtr5cEHH5SWlhZpaWmRO++8UyorK/spxwMTfaknxq233iqLFi16D3OYH5j3w3XKKaeYTCZjVq9ebb797W+bq666ymzfvt3E43Ezc+bMg+53Op3mjTfeMMYYc9111/V7/gfC1dc6CofD5qGHHjKXXHKJ7ZozZ06/f8NAuPpST8Fg0Kxfv960t7eb6667znzzm980mzdvNtFo1EyePLnfv+GDfh2qjvx+/0H955JLLjFf+tKXTCwWMzt37jSlpaX9/h0f9KsvfWn8+PEmHA6b+vp6M3/+fDN//nzT0NBgGhsbzeDBg/v9GwbC1Zd6OvXUU008Hjf19fXmRz/6kfnBD35g6uvrzfr167UvvQfXaaedZtLptFm6dKn52te+Zn7xi1+Yzs5Os3jxYuNwOIyImPLycrNjxw6zd+9eM3/+fHP11VebtrY2s3LlSuN2u/v9GwbC1Zd64uvyyy83xhizaNGifs/727z6PQN9ulasWGHq6uqMz+ez/lZdXW1aWlrMM888c9D911xzjYnH47o4OsLqqLa21hhjzGWXXdbv+R2oV1/q6frrrzeZTMacfPLJ1j01NTUmGo2aO++8s9+/4YN+vV17133dfPPNJp1O60bDEVRPt9xyizHGmOnTp1v3zJgxwxhjzI033tjv3zAQrr7U0+rVq000GjWjR4+27pkwYYJJJBLm17/+db9/wwf9Wr58udm+fbvxer3W36644gpjjDFnnnmmEcmOS6lUykycONG6Z968ecYYY770pS/1+zcMhKsv9SQipqCgwFx77bUmk8no4uhwXaWlpSaTyfQ4kDz00EMmEonY/jZlyhQTj8fNj370I10cHWF1dPbZZxtjjDn++OP7Pc8D8eprPe3evds8+uijB91zxRVX6CB0hNRR7jVlyhSTTqfN3/72t37/hoFw9bWennrqKdPY2HjQPU1NTebJJ5/s9+/4oF99qaeRI0caY4z5y1/+ctA9CxYs6LH+9Mrf5fF4zJNPPml++MMf2v4+adIkY4wx8+fPNyJitm7dahYuXHjQ7zds2GCeffbZfv+OD/rV13ryeDzmzTffNMYY849//MPs3r37fbc4csn7AOFwWCZMmCDRaPSg/6usrJR0Om392+l0yh133CHPPvus3H333XL99de/l1kdsOhrHU2ePFlERDZs2CAiIn6/Xzo7O9+7jA5w9KWeamtrZdiwYXLjjTda/xcIBCQajcqf//zn9zK7AxJvx94xbrjhBonFYnLNNdcc7iwqpO/1tGXLFjn99NOlsrJSmpubRUSkrKxMSktLZf/+/e9pngci+lJPQ4cOFRGRNWvWHHTP1q1b5YILLpBhw4bJnj17Dnt+ByISiYScddZZB/19+vTpIiKya9cuKS0tlTFjxsiCBQsOum/FihVy9tlnH/Z8DnT0pZ5ERLxerxQXF8uFF14oDzzwgOzYseM9zWe+0O8rtHd6TZ061WQyGfPEE09Yf7v66qtNe3u7GTp0qLUbpJ6jI6eO7rrrLhMKhcxtt91mwuGwMcaYrVu3mosuuqjf8zqQL66nD3/4w8YYYy666CJz4403mvb2dmOMMVu2bDHnnHNOv+d1oF492Tv+P2OM0n+OgCu3noYPH27q6urMwoULzdSpU82UKVPMU089ZaLRqI1qp1f/1dO0adOMMcb84Ac/OOi+2267zRhjzIwZM/o9zwPlGjFihLnssstMc3OzWb16tfF4PGby5MnGGGO+8Y1vHHT/b37zG2OMMcXFxf2e94F09VRPImIcDodxOp3WfTt27HjfeY7kCMjAO7oCgYBZuXKlyWQy5pRTTjEiWddePB63aD+6ODry6qhbJOOBBx4w5513nvn85z9vVq5caYwx5tJLL+33PA/EK7eePvWpTxljjNm8ebNZt26dueyyy8yll15qVq1aZdLptJk3b16/53mgXT31Jb5uueUWk0qlzIgRI/o9rwP56q2evvKVr5hkMmm6kUqlzMc//vF+z+9AvXLrye12m/b2dvP666/b7vN4PGbXrl3GGKPn+N6jq6yszOonkUjEnHrqqUZEzKxZs4wxxnzxi1886Dc///nPjTFGBU6OgHrq6dLF0Xt0+Xw+89xzzxljjLnhhhuMSPbw19KlS228U10cHVl1JCLmq1/9qvna175mu9fr9ZqtW7ea/fv3m4KCgn7P+0C6eqqnSy+91BhjTGNjo02lqaSkxDQ3N5tly5b1e74H0tVbX+q+vF6vCYfD5sEHH+z3vA7kq7d6+tnPfmYdSL744ovNpZdeal555RWTSCTUE3sE1dOPf/xjY4wx99xzj5kyZYqZNm2aeeyxx0xLS4sxxphZs2b1e94HwlVaWmouvPBCc+mll5ply5aZVCplLrjgAnPSSScZY4y5/PLLD/pN9+Kopqam3/M/UK7e6qmne3Vx9B5cJSUlZvHixcYYYzt4/P3vf9/E43EzY8YMU1FRYSoqKsz06dONMcb86le/MhUVFT3KDOr13tXRW13XXXedMcaYKVOm9Hv+B8rVWz2df/75xpieDyf//e9/N5lMxgQCgX7P/0C4+tKXzjrrLGOMMZ/+9Kf7Pb8D9eqtnkpKSkwsFjPLli2zbfy4XC6zcuVKs3//flNYWNjv+R8o11v1J4fDYX7729+adDpt7Yg/8sgjZv78+cYYY8aPH9/v+R9oV/fG6c6dOy3q8Ne//vWD7uum1fn9/n7P80C8uJ56+n9dHB3mq6qqyqxYsaLHiduiRYvMoTBy5Mh+/4YP+vVWdfRWV7cUpO7O9X89HX/88cYYY372s58d9Ltf/vKXukN3BNQRX3/84x9NPB43RUVF/Z7ngXi9VT11S3Z/5zvfOeh3V111lTHGmKOPPrrfv2EgXH3tT9XV1Wb27NkWRbVbPrr7PIVe7+31u9/9zhhjTEVFhTHGmOuvv/6ge+69917T2tra73kdyBfXU+7/6eLoMF7BYNAybDfddNNB/3/ssceaefPm2a7PfOYzxhhj7rzzTjNv3jw1bv1cR0OGDDFr164111577UH/9/vf/14n3UdIPfn9fhOLxXqkaf3rX/8ynZ2dSn/s5zria8WKFWbx4sX9nueBeB2qnrp3u6+66qqD/u/73/++McaoKMMRUE8iYj796U/3eG7ipZdeMkuWLOn3b/ggXxMmTDA7duwwV1xxxUH/d/vtt5tMJmOCwaDZtm1bj4I0GzZseMv4b3q9t/WU+3+6ODqM15133mmMMebmm2/u82/0zNGRV0e7d+82u3btsu1yDxs2zIRCIfPcc8/1+zcMhKsv9fSvf/3LJBIJM2nSJOtvtbW1JhaLmfvuu6/fv+GDfvXV3rlcLhOPx80f/vCHfs/zQLwOVU8FBQVmz549Zu3atbbNOY/HY9atW2caGxuNy+Xq9+/4oF996U9Lly41a9assalsffSjHzXGGPPZz36237/hg3w5nU7T2tpqVq1aZdxut/X3ESNGmPb2dvP8888bETE33nijSSaTZsKECdY93UFgezqLpFf/1FPu9X5cHDkOJI5oTJw4UTZs2CDt7e3y7W9/u8c4H/fcc89Bfxs5cqTU1dXJT37yE/npT3/6XmR1wKKvdfTxj39c/v3vf8vatWvltttuk6KiIrnyyiulsLBQZs+eLRs3buyH3A8c9LWeRo4cKcuWLRMRkd///veSTCblW9/6lgQCATnuuOPet3EL3g94O/Zu9OjRsm3bNvne974nv/nNb97rrA5o9LWezjvvPFmwYIGsW7dObr/9dnE6nXL55ZfLpEmT5LOf/azce++9/ZD7gYO+1tMnPvEJefDBB+Wpp56Shx56SGpra+W73/2uvPDCC3L22WdLV1dXP+R+4OCSSy6Ru+++W1577TW5++67paKiwpobzJkzR9atWyeVlZWydu1aSafTctNNN4nX65X58+fL1q1bZfbs2ZJMJvv7Mz7w6Es95WLHjh1SV1cnc+fO7Yccv3P0+wrtUNdXv/rVQ54n6ul36jk6Muvo3HPPNUuWLDGxWMy0traahx56yLYTpNeRUU+jRo0y999/v2lrazPt7e3mscceMxMnTuz3b/igX2+njmbOnGmMMeYrX/lKv+d7oF1vp57mzp1rFi1aZCKRiIlEIuall14yH/nIR/r9GwbC9Xbq6aKLLjIrV640kUjEbNu2zfzsZz8zPp+v379hoFyf+tSnzPLly008HjctLS3m/vvvN+PGjbPdM378ePOf//zHdHR0mIaGBnPHHXeYysrKfs/7QLr6Uk98qedIoVAoFAqFQqFQKN6nKOjvDCgUCoVCoVAoFArFkQBdHCkUCoVCoVAoFAqF6OJIoVAoFAqFQqFQKEREF0cKhUKhUCgUCoVCISK6OFIoFAqFQqFQKBQKERFxvdV/Xjji41Z6bXy/lQ44vVa6mNKhTMxKNydCVtrhwBqsLd5hpU8sH2+ln6lfZaW9rkJbPqr9pVb6hMBIK/1KxzYr3ULPHVU0yEo3xNvwHC+e4yvAO7pIsI+/Z0nzZis9pmSwld4XbbHlr9CJYpxUNNxKv9y43kpPrRhlpVfWvyL5xAmDTxURkQ4q/7qOBts9R5fh/Y1UNx8KjrHSC5pX9vj8eCZlpaeXj7bSnZkEnu9BmS/qQLl5qJyjaeRvRjGes6jZrov/uerjrbSP1u+vp5qsdCjTaaXP9uLb/i+82kpXe1DfUz01Vvq+/WPmxK8AACAASURBVEut9NBghZUe5q205ePlfc9LvjCo5CgrHU3FrXSFt8hKcznH04jX4HI6rXRbLGKlCxwOPMdXbHtf2mRwn+C+GD2X3819NJHBPS0x9CtnAe7xuz1WOquEm0U0hTYRLERfKnL7bflriYettNfpttIZg1gikSTKyUc2wUHf3RbZKvnExKqZIiISdHltf1/bttNKO6msRhZVW+lCB+zA5vBeKz3IX26l2xIoT0YnlRt/XyqDmCyVftQx16OIyJgi2KdQCn1jVxh2oNQXtNJlhaj7pli7lY4k0UeDhb4e88Tt1+9CO2A72J6I2vKXTOyRfKEsONZKV3ipTMgeNUbxTaPJdvM9CepvIvZ2zGMC1/cQH+zFrmijlR5XNNRKrw/t6vGZXD4lhVQX7oCVbkmiX3BfEBEZ6oN9WteO9si2orYYdrgzg3ri9sVl5nLAtoiIbGx6XfIFrid3Ad7jpnJId8FOecgOJDMHxyLKfU6M7FQshfSQAOqIy7CwwD7dCafQRrleHWQv32zBHCPghk3gOUptAGPL8iaMfS76zmLqS4N8sAfrW1GPw4rs44/t+6iOw9Htkk8MKZ100N8aqP/MqBxnpZPGXi/cfta3o91PKh1hpbdHMHfsIPvC5RmkdMCFsuI2zHaHy3xbB57PY+XY4BBbXrd0wCbzu9lW8VjENm9KEb5nc3SflWY70RDBXFNEJJ3aJ/nC9JqTrPT+eKuV5n7N9iUUxzexHHWFD3Y/THXB4wz3z9FkT0RENrfBjk8ow1zX50R/4D5XF8H4U+ktsdI8hy71kv2j+UaA5hjc3/ibwwmMdbn3jSmG3ec5UJjmodtbep7zihxicdRME9D2JCZlHQ78fU0MxpwrZzBNCPi3PPjuTKCARpWgEppjmLyLiMTSKIxO6pxHB9Fgl2YwSRrjgZHZGkID5QbDA38RpQs9+Ab+nlIXKjDjtw9axS5M/Fa0w3AdUzlW3gusbM0a8BMqsNjc2mXvmBtDu610gCatd9UvsdJHl2ORsbp1h5X+aPV0K724fZOVnlcGo7o7g3bAjbcljcY+r2qKlY52wdhPL8NCSUTk0RAWSzxojXRjsdOQRBu5K4SFdSlNOniiMbYQi+ppFXif1wFjuKwFA1u+YXqZbPEAyAuIFupX1YX4bkYJGZXmTnufqfTDEPHkybb4SGOwyV0M9JTvLtPzN3hcKEPuY3wPTzhERDIUUNHrgUHjCSsPTtwX2YDmG9155gFIxG6oeaKyO4IFe7EH9ceGeVM7BpRhwSornSZbxgM/TzgKqa9y2+5I4r0i9gkCTzh5gjaMJtftKdhkXujy5IInq35nzxOZSg/aGechd4MrmZC8gdvC/ijqaVgQ3xcsgU3n8ae5E/2KF5siIqMCGIMKqQ4aU/jNphDqMpFGW60rwCRgSglsDS+Uor0M6nuonXO5DfHD9omIvNG8xUrPrIStj5Et5Tpg8LNKaLxqSLT1dHtewO2EbUEnjefcl3jzMuVEG052oZ/whhA/kzdSAk6053W0qZGLkcWYYLNdXN2Csc9FizFud0E32hdvRI0vG2al/ZQP3lzJmGYrzWNRXdS+ocnfx4vCfKO7fItpkc7tkDddcxfsW9sxz/hwzdFWenELgrmzPeJFydgiLF7c1N9WtGJBenrVVCv9WjvG53gX+h7bLP6G4gL7mMb9b0QAm1q8YKuiNrivE/PTHTHYW15MDSd7njsvrA/lb3G0JYxncTtMUdkODcD+8Tjc24KI7aWnALaeweOEiH2hxQsini/yhhn371ABnlVFm7n7o7BBNQGUP9vIUnewx7/z3EPEvjGyL4b643bB+X4rKK1OoVAoFAqFQqFQKEQXRwqFQqFQKBQKhUIhIoeg1dWnQNWp8MAN1hCDG4xdfNU+uMTYJcwc0uGVcEPyeSB2bXJaROS0cpzXeLx+hZX+ELlxmaP8TNMaKz04UGal90bgZmN6X6kHLjt2kTMd6c020OWYXiQiclol6GVcHiuaQfWbVD5CDhe6KUrbY3DL1/jtVKxPFk+20o9Hka9SD8qNzyocU46zSP9pAC/zhMoJVnplJygmQz0o5/HEv6/rRJ7GF8C9+8f6xVa6oMC+Rh9Xgt8H6MzSM81rrfQpFWgTKzvqrPRID9yqW7twJiDhQJ3xOYAZhWiPS7pABcg3QuQKzpArvNQDdy/Tf5jW0BuFjf9e5LGf6eki+gP3J+b3cjm0JvDuTqKolPv4XBIoLfxbTvM9TK80OX2GqRZOolQ4HXRWip7FVIYRxaBE7GjJH3VBBFSKSI4NYgpOqgt8/CiVVW0R7mEb4eqFEtNM1MlBZKeqCkFV29JBdAo6M5H7TKYy8Hm+rXH0gYketPXlxOWv78T3MH2HaU6biGs+JAjKNHO5+be9nRnJB5giwe2Keexl3mCP91eX45v2x+zUyRUtsIt8ho8prvz3hBPUHqaD8rmMCypBSW41GE9WRXu2nce70bYfjYJGJ2Jvgz6iwWyLgko3OghqYITquCMN+8NnP/dH7GWQT9gozgmUYZDow61EkW2KY74xmiiOTE3s7SwYp5kKxLS1XKrsJf6JVvqhBMb3oUUYQ0b5UB8NRNPmM71JP+o+SHMdpkyPKwGFbHu4vsfvYSqUiMiYUvxmT6RZDhe66dzcf5lytaV970G/6Qbbgo2dsFXnVqHdO8lGbE/D1nAb5vPqTLlqzqBMvlo+w0o/EAXF7jNlx1jpFXQu+ZUW+3g+pQx0197OAvKYc1QxztTw+eoCP+7ZFkLfm1AKSqWISL2d6f6uwDRtblc76P1NcZTtpHJ8K1MhOd1B8719NN7xONae0yaZOr6VqH48j2mLo/9Nr8A8kstwVwTjEp9l5jGRx7uNbTgWciwdV9kXt5//3xtFP2FaONdr7nn83qCeI4VCoVAoFAqFQqGQQ3iOpngH9/j3Iid2R1LkadndiVU7H+TmXcRJfuyGNDuwtOZDwV1i32XeEMdOCx9CbyPBiE9XHmul16awmgz0okrHh7o4TywUUEWH2v10YH2iz14uW+K0i0Tfyjt9vR14ywe6d5FH+fA+R849floH8+F73kUsoR294W58+2YSrNhB3qnBXuwaHe3Cbpub3j6lkA6BC8pmVhV27UREvigo0/9zYFeBd5ROrYCHbkkIu6rtpOD2EtXrzHLsMPyldbmVjtNB6jY/dkY+PwSKMCIif9u5QPKFQeTJ4wPJ++hAOYsU8CHKRhJbKKcdcd4Fyj2wy54n3u1hL1I5qdXxzmtNCXay62iXs4Du4fy10k4RH7jlA6LbwvaD4qxkF06iDviAKR+uZK8aK90dLgQLfTZVrx0hlMNwUpViFT3O+zY6jGsTlihgBSvUSwl5N1iQgRV+Spy4n0VkRES+F8RO7YIMyvp4P3Y/j+7Cbz7hQv97pBpt4tUoDtZymfP76qM9H+LnQ/FTy2tt/7e8c4fkC7xbyh5TbnvcZ1K92OQxAbsdb/egHfJOPYv3tJIq6mTaiZ5IHmge+zKUfq4FQjMzy2Cb6klc5v4YvOOXFOMwuojIr/e9aKWn+DBmTSuqtdLVBcjrw03w+LPHmG1ArkJaXWv+PLGbyePAB62rCtGv9jkxVnPZsreOFfgqSGWxjOYhr7XCk8AMEd5l/0iOKtt+wf9NJjXTB1qh2Mdt/XuDTsbf/WCCPNaGOit3k91OYCffQ4fAuS9tDqGMWE0yF+OJTbEyVtfrfe8E3QfU99CuO3vEe1MAE7HPa/bG8PsXw6gPZh2NJe91Uxr97VcZ1PHXXXj3aW687+4OlDN7PP+X7MEXaQyfVF0uQw3y/ngK3tqTPeg/z9Ecti2JNriJmDHsiQ7lKKR1gz0j+QaPG8y48tM4yuPPjg6MV6yWyve46Zns+WERs6FBu33guSN7QFkUg7GS2FO9sVCSqZ5FmHg+xEwJVkUcV2xXJOzohRHW0IkyS+QovfYG9Rwp+h28MFIojgTwwkihUCgU7y/wwkiheLvQxZFCoVAoFAqFQqFQyCFodS+040AbH4jmuDdPNSHoJlNt+CCXlw6Rs1Z9bgAn3G9f8fNB2zMqESvnqhSy/2YGtLxGJ1yE4wvgWluaABWLXXavtiFPtUG415lKx7Ehnqq3B46qoHgZfNC8i9y1uQfS84nuA4UcGJVjq4iINBXDXVxLogXGg3yxVv3oGrhirys7wUqvKIDbcoxB+dzXibKd6EUZrovB5b2TDsKx4MM18TdteeW2863qE610A9EgjqVD5zsKQeeMcyBIik/CQeOGEmWQxTsWH8ZYEk1EE+GYOUx5Y2obu5E5MB279JN0CLw6YBfgYPcyU7MYPjrEz9Q2plf6KK+95S9FcUj425hKxwcic/PH9D7u+0yfKyEKWmvGHnshn+gOppobc4SFMDguAx8mZQEKpuTy30dRoOEKHw7wsnV4uAmiM6eTveO2emPlycKoTuEJcz32wH3dOMMJ+tYvKGBtgNJT/aDvpAQ2spUO9LNozQaKn8b2n+1gvtGbMEhJIew+t8kUHbjmwJ/cr0RExnpx+J4FBFiYgvvABRQ7bZsDdbwpBcrPzhgowj+qgC370f5FVno4CYyweFEmh17+BaIMbaR3MF3c62BRDNiH3IPV3WDaWb7BojD7OjCG81yC72FqD4s28MFxpg+vpACtTMv/5KCZVvrJFvSZDyftVNQP1YLSdvte0HMGBUEr/mrRNCudoeq4OI58jCg9zkrfH0eemojaOZyCRXM8O6ZgcgwuEZGRfvwmV0win+im07GoS7CXIKnlFO9RxC7IwjTvuSUQblqfYJo8KHNz3bBTZ7e+bKVZvOKOdsy1ji5Cf+M8saDCyiTe9UZOTCaONdVZgv7K+T6lCAFvH47DDh9bjBiQqzrwHBYdKc0pm3yGJ2exLH5nugttjGMKsRgB9xmOP7qtvWcK7fRKzM2YwidiF2ObXQFqNou3cf4qiUK7KYw56bGlmL9t6wQ9z24b0Df4G2aVoY4WNmD9IWKnvJcSVX13GO1iagXqcmV97zRi9RwpFAqFQqFQKBQKhejiSKFQKBQKhUKhUChE5BC0OnazcjyCJeFtPd0upW640wpJxaSdYqhwPAhWDmI6x6KW9bbnziWVsrokU1rgQkvR/btTUIk5xwl6yzBSzxrlQXpxK+iD7L5kCkWMVOxy4/I4yLV8VAnUoVi9z+OMy+FCN6VgQytUPEZQ2YrYXYwcj+D8IsQL2uYEDarUgfprcsDt/HIE1Lt6UsdrJRrKKD9cpn+oRfn/sBEKP60G5bE2h/Lhc4Na9UgM8SfYxTuK4mBsJ7Wav1XNtdLr3aTeYlCvzUQ//O+a2VZ6VZed1rBJ8gf+pkgK356rOtYNpmIxhgeh9sN0gN2RJtt9JUTXYzoj0+G43TLNdF8MFBimHg31o88wncLl6NmMhIk6N6nUHueLlZw4tkElxbhgV3pHimh4pEIT7pkt9I7RTS0dW2JXwQk58SIuq8lF6O9LWkDP/UkAsTe2utAO13fBjsYFf2cK8+RS0Eeea4bC2bQy0AF2OO1xhPyG4s0Ro21YCnltNGgTHh9+72J1yQKUP+f1lEKIptzSuMRK9xbPbnsEVIl8g+kWrGjI4HyVU5sKkQIfqwKKiNQl0O47Emhvc0rGW+k3o7CxzV4UdFMX+jTHF2LVr2sboDY3twZKdCOdoCNeHENdrOiy56+jAO+rT6L/zCBFwjRT7IiiOpHGJaayhdJ2anvfIoD0Db3RHzl+DGNnJ6gvR/nR3tZRTCiOt+V2stoW2QSKJ8Vzh+05NMX23ZhzPJYBPXRyAPk7LQE7PGkmbGyskeh9+2Erzvahjw6ieGUvNEBpbUIZ6LRMsWsR+/jTQnGVeN6Ub3RT6Lj/ct7fSGC+t7jRPjdjquemAswrXunAb7gdrGsFJW3WkFOtNNt6nsewUuS6COpofsUsK73VgT52z/6lVppjkomIfLgacTF3JtHXhxfChpzUhfqYVzYH7yhAn1nrQD54DG5JwV7mG6wStyuKflJOSoC7iFIYJXvEedxKVLoyUkdsI8XfSBq/ZdVPEbvKLCsJ10VgOYb4UZ4NNM4zpS9YgLVFKMlHBTAuHVWKfljkxHufJSrdqdWI3yki8lIjxsv9BZgv8vGAvZ19ixmmniOFQqFQKBQKhUKhkEN4jhy0+8YRd1nbnqPh8s4+7xTxoeXJdKhuSxgHIlfR/eVvIaMbdGIFuLkL3pC/JnH8jSNkf62zDvmmXfBGiibMu4xNMfx9Dh04O8tg1StV46S9APm9NwYxgvoEyiDgxq4HvyPfGObL7uifVIKDanVJ+wFOD+2ScmydpV7sNpxViZ2VUQbl/PsQDiYy2JvGu0O31L9qpVelUYbjXWhuC9vhEQq4PfI/RYh+fdYItItj1sEr9FmKhP2vEA7aTizDDsNrbuz0HUMiHesd2JFgr8df296w0uwpzTd4R4S9I1HyIvE9vDs+tazWSvMu0C7aaS3x+GWIj4Q26PfjA9jZ7KQ629KBXSTe1dlB8Qv4OdOKkY8XGrETWkj9iuNgcKRzn8N++J0jyScL8d176eA2H4x2UT5a4odvh667btqTEVubZoEBH8Useblpg5XmHfkU6U+8nMKu2v5EzzGC2FPI7fOkChxsri7ArmajScpPAvBmFQ9GO9q7BQICPy5Evr+ShIfiE3F8w18LsUP9UgK7akeRsMrfWhAnjL2XfECXY4QUOl2HTYSGva0s1sN/r/Gh7QwiAZb15NUpdtq9tmPdKLeZPngVTkrjPm8QnoF24itsjaMvDvegL7V7MBZdTLH4NqUxziyPox+eUVBrpZ8Xuw2vJ+88f3eE4u4VOXqOp7c9AjvKu80R8sjmG0MCKIf6Tnwve4hsnhPyIO/2ol2xAMoIEq/g3XQvxTNc2IidZY5FVSet8qnCWuvf28j7uqoJ49E3BsFjMOMOeDdSDzxspcO70NfXkUjRY60Yl8YGYXdZjoZt+GgSARntrZad1P9iJC7EXvuWDsw38oHuOHWFfozP3HO5vwdpB19EpMUgj0O8GH+mFeK7WKCkhRhID5KI0/crIVZyH4la8JyymNgvZwuecy158nOFiSYG0I/HkjjXJBIBeqQTc8cYfcN6N/r301Hcw7GC2hLIB7Or8g32InI8uSiNG7bYgSTcNLQQtnCrwNawqNVOD9pdFcXqqqooklebwGpgcaetETwrTmIQeyleFs97HTSvf5bEhdhrOKZkMP2dBNfawVhiVlRuTNQzB2GOuJHEwHZ3wOvbGysnF+o5egfghZHi3YMXRop3Bl4YKd49HI7cMMpHFnhhdCTicKpzKhTvBLwwOhLBCyPFuwcvjBTvDLwwGmjQxZFCoVAoFAqFQqFQyCFodXxg1U90No4BUuaFq3JcAC6xmIFL8s1muEmLivCcMyoQw2MZHfTf3WHfQTk+gMPcI11w613ZjIPBZ1eAEhb14N2TiuEijFHcDg+tC//Rjjg7NsEIcsM+3QX3bjhtF1doIooe0zmY+lBZfPh2MXwHKAUsRFHpCtruaSMRgtOqUO474nA3Hu2G6/6RFKhtrD1fWwSXJrtMzyrFwdeLY6B2/Nzg+R+l2BBLiSaw22nfZf7lPrjkMwb5WBDGYTsPUZu4/KNeUBmGpuD+PsWDetngAg1iPbVxFhHJN3gnfX8ENAMWJWnoRBtjNzX/dhhRhMKFqNNITps8PwCKJR+s537JAiVMPerw4bkcj2hVuM5KM10lnMY9TLswhch3WQ6Fabwb9fG6A+55jlXTSBTXCnLJt8YPX5yjbjojU+dE7HVgoxuXwTYxHe6uDA6O80Fdjt3ENM5rq0DlWZgB7Wg8Ccp0CGhAi8KguoiInBkAhaBmGFEwdsHEL6EyHJzBN1yRwN9/6UI72k7UXKasbWlHn+RD/yz64s+l3+SRcZKkGEaFRL1oIOrWIC8oXUxjml001krP6bLbyMok6vipQpRDgpyIdWkcUF4fwsFxbh/bKb7XVYMQj2qDQbtdH0H7mEH0lhvTOOzdHLUfhuY+zvRVPhjdQYfTjy3Dc9eGkVeO9eSQw+ch5XJn4QyOo9acwDcOK0KbttHeiZafprpfTwf3KynWIIvO8BGAiMMe96aeRIFOrsL4ddUI1J9r+hlWevc3/m2l74whryvidVa6hGK8rGrDnOacQaBUVtBh9Lv2Yw5zVJldtIZjbTHdON/oPvgeoHwxZZ7rMTf+25q2OivNNMo3KBbadx21Vvr3pRh/zioEHT5C9KhEF+5h8Zv6TtijuZSO0Bh17eDTrHRt2t62t9I8Y1YM+TvDgX7yDImefNuPNrgyBTv8URpb/0biNBPK7EIj6xp7j6HzdsH0+wzR+pwFHNeM4w3C/i5ugogGizBEukAvqwujXvc50daGFtkZKfup3Pl9PB9YR/GkuC9yvw8XwgZxHLmPkKDJve2rkA+aq7DNGBSw95mhDoxTzfSOoZWYbyxvxXok+hY6J+o5UigUCoVCoVAoFArRxZFCoVAoFAqFQqFQiMghaHUpcm++3oQYHkwF2knuOEOu0XaKXcMa43VxUOamBRE/ghXUnDlxhJ5ogbLFtJJaK82Hplcn4Ar/mcA1V2zg+msiF/tnWxFzwq6sBzfggja49Zi+MZgoGyIiE4oQt4BdwqUe0EwOp1rdqgNKHuOJundygd0dOioDt+RjBaB31JEy2W6KW1ThhAt0UdlxVvrWQnzHlhRoYC9H66x0PSnwXN4F+sdlUcQgYLRW2CmHlRSzZffvz7PSnQ/h99esQV5DRBXLEHUyRZSR4+K4p4RUBB8kd/W8EijriYhslZ5V+t4JuC3UE2WOaVZMpRtehPoqJopSjNrXBFITK3bYaWBvZNCfxjgpzosDFISEA8/yUd/4ZAlisGzIgFrwSgsOZ3oCuH93B9zobDOmBEEz4PgwIiKnBEFvGk5qOktDUAViO5Ck57K6Tb6jh5V7sjRcprSIiJQSXaaDYqEdGxxjpTdRf1hF6jpMLWAqHavb3ZeAWtZUD2J4uakNL4+BivVSDo3yz3tAHx5CFMmTXaAsPJeCjZxGFNrfZqAalUkTrSQAqvJzbqIVJ3qmXVYVgtK6MYS85htM8avw9KxsuqoV5TmiCPbo+ADTeTO233gNxa4hBblRHtBu+HvnVSDGxsWkBDiIFLx+Tv0wRVSjz5ZOs9LrKb7arzKo+98H7N9WUQA7UCXof/UCuxGndzxcD4VBHuOmV6LN5tKk8gnuM07ah91EbWNCCcbOTlJna6B4hqdWgvJW4UAZLHXCpnCcN1btGuZCGV7qhi0TEXk5hnF8rxP22VMD2mj6idus9JNRtJ0nkujfHBduShFoPkOJyj2iAM+/Zd9iK83zDaY7ithVtY6thL18fX/+6FoiqI+Z5XhHkuZNFaRexupsInYqHdPvOXbNPaX4/Y9SqO9tXaQaG0NUQT7O8YAfdMSPtL1spb895BTkj/rts0RJTpKNE7HHMXzGSSqSLuRpMtGskgnMQx6eCHt7yhrQslhVtiMnZlg+wTS5GM0TEmlk2E/zbKbhMfWZ56GvN2NOz3NpHq9yYxjyHGVoEOW7PwY7N6oYNozLh/s9x/LbSTbosS6MRUcFUS8bI+iTHIPusSbM0UVETqlE3M7j3ZgfPRers9JT6N1L6e+5UM+RQqFQKBQKhUKhUIgujhQKhUKhUCgUCoVCRA5BqysrhDvUXQI3fpTUqeZUw431WjNcoydVgqLEaieT3aB7BQXuO6YdDfLZaWvjPVCGeTkEt9vVZSdY6Y0FcCNuNFjzneuCq/cHMbhSiz2gjTEtrj2N+1mVKUhUDlbnEhEZVAi35epWuNvZncmUinyjm07HCjPFxq7U8oQb3xUlGtpZNdOtNKvd7e0E/XF+kGhv5Hbe0AFlpbPLQcXam0E5/11A5TmtHG3lzSh+u9/YKUL/8ymkM+tR3/7/Ot9Kf/iLy6x0gihhowV1M2EeKINLngW15rutcM/X+EF9eKoNgU3zDaYZMJWCXeRMP2U1PlYUrAvhm2ZVoY81i92lzxSVV5pBh2O3eoLe7alEGdZlQBOpcYOWwsEAOZAj96VYBs98pRX2YHyOWuOCRgTfDdB3M32gmYJCcr4HUcDajk70t3yg8wBdLVfFa3sI7Zjr765OqBUNJ/oWl9UeCorHQS/5mUzH2UEBQh8kZZ2/lkP57BOfs1NwkptBa/BdArsoflCbfkg0LdfUD1np9MI7rXTmDSh37ngQqkCvd5EqHdlqpmNwegqpF4mILN9vp1W+G4wKgLbBdG+3E8PZHKJX1KfwHZVdve8HPuBAPY0oRBtbmEY9cYDxN4hGEw9gDFkXBX2kVFD+F3pA9z4xBkP605tgg11nfhH3/PtPtvxt+CnawhsG/eQcUuXa50DdvEBKshwHrYPGr1xVxnyC+1CIyor7cogoql00RvI9GaLmPNoKGg1TiqaW11rp1iTqaAipV20Po++JiPw4Adr0/wRA33INRrnV3wRq4t1p2FRuB5Ue0FivTWE8WUACna8kMJcYWwpbyDT8XJvDwcJ3Hkb6Yzf1ialLrKD4ahv6GKvxitjriec4rApZTpTvBTRP4wCe55ECXAPRRF8hiv1nh8yy0lNSsMGnVqJsmkJo57/ah6MTIna7PZ7qYG0B6jVMVHN/JyjJnnWoi3FeUAtZkfhwqt32Ra2Qj5y83gp6+onlCCT+ZhjjJY/bHOB9XQRzM6bJi9jb5GCijZb78axyUj1cFEbb4XGjmYLaMh2Tx8EozWePK4bt3OeDPd/QjryKiHiJBpiiIxZ1HWgjTLt9K6jnSKFQKBQKhUKhUCjkEJ4j3mHiQ3K8W7ApgsOBbhItWNJCO3q0Yp9chZX9EwnsJnJ8AI65IiLiJQ/TwnLsaBSVYhf9v1uwcv17Z52VHubG7vrcQqx616VxiDxQgJ2NT9Oh4obBOLh6fxTfwweyRey7Bxz3aQJ5XJZSeeQbaw/oys+pwm7peyUPRgAAIABJREFU/4SW2+65vAw7Yzc3YNd+Qil2PPkgeF0EK2031T0f3P9M+TFW+pZ98MbMqMQu0BDyPAyiw7SfC+CQrYjI/Pm0I+XGO9JvQKN/6eWvWekHvNjtOS+JHQm3C7tXTz8PMYgqcnldVD3DSr8YwcHtmSWobxGRpzq2SL6QptgEXie+j3fb+UAlx/jh2FsVFM9jdajOSld67X2mlYQeSmiHiA85nl2AA4tPUTyqNa14bkkFfruDxDsKyAaMJI9JgjxHrsLezQt7Vjh+hasgRWm0u0gSO44Blz1mUj7Bu8Bs/3h3i7+X66mJ0hzXJUp5L/Cjvq8ecpqVvi8K714l2SkfeZ8r0zgk7Tr3E7Z8N3/jLiv996tga06mHfupP4Jt66qCZye9GF5Y10mwE6Uvwit25R7soiaD+O3CFsQea0tiR9VxGAVo2mjXvtRLfZ/Hn1aUwVeqsePcSruJf2553fbceeWwSWliO/yZ4jc94YKX5x90iHxjJ7xL5XSAneN+3dmJ+8+gGC9mL8bQ9IqnrHTLbfDiiYis6kL9bXHDnhxD8a/+7kA75f7Du/p7IvCQcTvNN1igiT1UheThi5OHuzGK/jOpHG1sphNjwxaK1cVx4dgDxc8c3oV33VwIGyciYhLI34kB2KDF/8I7HvfB/kXSdVb68iBiBSYceM7j1L5ejmOOUURx3tpIeIHnVeVue9wtjpPE4i35RrctHuJBH9+bRF2wMERzgT32Fs8FmWnEu/bTMqj7DU7cf3sjBJaeLcVcYtR41EXx1+Dh/sxV6K91LvSr2nrk++dfQjv/uZwka+7Av8/r3GClN7WTKEgN7PmmBBgR80n05uQg5p2bohgHT6nAnIuZEvnGiGLksZPyxUyEJPXxKvLwsCUeG4QNeaMF3qWxFD/UUYQxaknOvHVSKTw7kQzyMYkYYfy+84phU7dSvEUWaOGy3ZxC3afpe2op5ugbMfQLZp2IiDxe37OIFgvSdMf1EhFpCG3s6XYRUc+R4giAbWGkUBwB6MihzioUCoXi/QNeGCkUbxe6OFIoFAqFQqFQKBQKEXGIkO87B+cMP9tK76dDrayBz/EFmCqzrxNUsxRRisYUgerEh/7LPHDJDi6Em1REpIAOKsbp3Z90wkW4qwB/X0exWcLk+lveDJpUAdGZKsgFOacElLDHG0FrYPcdCy2I2LXfjyqCy24ZuSSZhhSP5+9wsojI0LJsvA2OLfWTytm2e+5N1VnpTxXWWukXulBPayPI1wnFoJj9rgrPvbkZdfwZcrefH0PZNneC0vXZQTgcviUNGsRj54Ja9q0nQFsREfnr8hutdHrtC1b6ws89ZKUHFYCm8HQYrtGRPrifJ7jhkbq6CHk6fmedlZ5VivrmZ4qI3L7zQckXnG60VY7TwnFT+O9VPvQBpqQw9fHpdlCaOPaMiMi4ElA6/U603SscaJ8XXoH7MztAo7z6ORxGv63+VSvN8Qtm+PCcDoP2v5fsxGkeUPge6EBeRUSmB+CeZyGQ9W1og4MDqL/9UbQdpiLmuy+NrsjSO4Iu+6HNCFEZmNZQGwA18U2KrTOMYkDs6gBVg6lOTGma5INdXNwGesbMUhxsvrgL9xdn7DSbiyhu26cGH2+lNyZhn9e1geZzXg1il41zgJoxJgU7dc4kHHZ9Zh3q+0k32tqiMPLKseDiGftB3vrQBskXXNSXCl2wI0MphhHHbxscJAEP6m+5VNQRXpTv0UTl8tAe4naDbx9Oh/3/r22llY6SXWQ67YmVOBh9kgt29OrPoS5/ehfa9pYu0AdFRLxEwUrTsM0H3tcTLYWP968Joe7LvBhrYyQyIJLfepoxGAIi3H+YRst9+eQylE+oC/czBWd3Ar8NkfBCcSHGEKYNzq1CLKpl7aARiYj8zQ96tZtjHVLZfqYTFPRvlqNflZDgUUsB6u+NDOxUMR1MXxdHe9wWBgVzkB92vjVhr2+mArGoVWdsp+QTw8uyFEGmDk8vxQF4PhLAMcNE7HZreQfoTkz34jniR6oQO60tg7644BgSJpqHoxCOGow5nXe/YKVvWIf3PhJB/j5C8fPqc4SeuDx9dHB/XwZ0ryDVWSH1t0UtoPdfUgnb2Sno30+028e4t6JsvV2Mo3dyPKy2ONqMh+j6TNEf5oNd5P7WmOiZus+CN7tjdipqKVE/ORbg9CLQYFnAg2PBhWguvppiIzIdk6mlcwpRx8/E66z02V60zafi9r6wlo4E8MKGxXpYkKE53PtxF/UcKRQKhUKhUCgUCoXo4kihUCgUCoVCoVAoROQQanVb4qDaMJWkoRPuOKbaHOcF3aHcBTc365VzHKBBRJupIlWzFe2gp4iIfKISCkGsLvZqAO64HeRuX9cOqs2Z5Mb1EAXj2DLQxnZRHBlWxptWBvcdK3MwZVBEZEYpnrWSdOTZjdslh09t5ozirBt6cDHoFS0576uluB1+8je+RgorX6kCBa6YYkX5K0CVOotk5f/uQ3k2NqNNfGHwiVZ6Xxdc50ua4cL81RNzrPRvpiG+gohIevH9Vrpu/ktW+qcG7zs3DPpHNansbO8EfaHehTzduQ9/n0IxMRY2rrbSrPufbwwhas/+CNrq0CJQeZzkxmfa5+WFUHMZmUC9HlMy00p3Ouzs2MuHgLqRiuG5g25DrCjnKCgExX74X1b6VYrJcULF+B7ztDKOeziOz3cqoAy2zVDMKT9sg4hIcwb0pBoX+vFWZ88mqTflq3hPN78LdMdw68qJS9aRwrcwNWFlC2LPMG1qbQds0JAA1T3RA1mp6rlmUDK4nCc4YRfPHAWFpWe2gbIoIjKmFOW7Oo66T3aBbnxz1alW+jGi0/6yASpQPxiCe67fAlpDK1HpVifwfJuSVRo0C46HkW+wYiOrGDL1qItsb2Mn7Fe1H1S6CT6MXSIiT9aDGred1KGGeVB/IaICNbtAAWEqCtNxNlHsmA0R1N+yJGjI//4rqJkzfKjXoMMeN4V7eDvZ1T1dKHcX7Xe2pEG5cTmRpwy17cE5MQXr7WJk7wq7OzGucjy3YUR/3E70x20J2JFNbRho5lTblU27wTQwfn45KcYurEdcpFKfXQ1uowdlxWV7Xf0LVnpMCfqVh4iKbzjQHxZ3gK43zItvq0+hXjieUSqDPsmqjhynRkSklWIusnLXpjzT6twHFGg5Fh23c46/dKwf9FoRkZfDaMdMGW4nymOS4lEx9e7RIsyvnEGUSdNdsKneElDTAsdhnD/vDZTHBh/6zwNtqO9Q3B4LblgRqKy7wqA6f6gGMRpHkypaOcVYOqkc49rPm6Gae2wpxubhfjxfJL+0ulaisPGxDh5bmLrKFLtWUvfkvs/2ko9krEuhfXFMQRGRj/vwvQkfes2sBNrxfwUxj/xNGmuItUTt5fiSERI/mhtAm3g0irZ1ZgBz7E6a2x7nxRglIhIqRr8MJ/FNcWqDrEgLi3Mw1HOkUCgUCoVCoVAoFHIIQQY+UFnXS4Tmo+kg1gwXdsFv2ocd/0ra6Rvhtx/oK6IDcKy1fvs+HATnuDksqjCZYiGwZ4R3oMZ5sJp/oRXehggdzJ1agdUq7+a2p+w7D8f4sav3XBsO6PGu1blV8HJtS2GXeE1bnZXO9yHyURV450VB6O6/nEKdrWyDx+2lCnjTbqbdnv1d+N5jnSjPaUncc7PB6p89dOwlO6UKO33fTdrFNc5tRzwk9jB9MoZ1+p88yMdvi7Hi/1sE7WtyEvd/oXmRla7knWHS9N9Hhw85ngN7NUVEmhPYOq1rXS35Qm05yryePK8c82NKCdrzaW7sRA/O4FtPEhweFRGpILGM6v9GeXZtwW5mVz2JGfix6/TYP+Gx+U4n4gPwYdodIezs8s5gTQBlyDtQHBldRCRDuzzP0aHWSSUQZOikuCRh2kVi742HvEXsDdnRYo8F827BwhkVPpRPiAQvhpLYQlsC9TG5GN+0nCKU8wFQFpeJpLDTd34V4gstj9mjfldQ3JwPu7BTNjSDZ73qQrnVk1dueRj9nr0svLvO+fgQxfphD9kr7fD6tsTsbdBZgPaZ6UJ9jypBG97a3HP8iXeCydXYmWQvfgXFwNndAa9FSY5HeDzFn2tO4Vv4MHBdJ2xncwy7tsyUYDbF0UHUfTUJu0zqQt3/LoK2OqsIO7AnG7uX7fed8CKeGRwnPeGfLfByDabd3aO82EV/sgn2q9oHu9gYg41jD5tIfsem7oP+InYhjBFBzAFYMp8FPXaSiAkLl+wlsYVJZSjzhjhsnIjIYC/KZEMI/emmCjAWni1Ave4kURjGWRSP6iXaBU+RzRvlgi1c2A4bxyJMLNwiIjKUvOXLyJtSS4JCTdQ22ROTT9EMEZHThp4uIiL7KbbR9tB+2z0BN9ox1x/bYh4HjiamQIA8oGybOH7VtAR5yz2ol9fSaLe7XHg+i42IiHhIIGN4GulNbvzm5BjSy7zktU9jjPu4E/b1k+Wo7y6ytRc2o82+2QL7Oqkc7VFEZE3DEskXCknciIWb2EPEdtzZS5w5ttU8HqTJmykiUku2mz3n16ZQZxNGoy+u24428TqVLTNaGgRzrW1p2CBu58yaYI9lmctuw08gQZsFEbCfOL4jfyvbuSiVUzIBb34u+tVz1JeF0ZGC3hZGRxJ6WxgdKejLwqg/wQuj9wN6WxgdKehtYfR+AC+M+hN9WRj1J/qyMDqS0NvC6EhBXxZGirdGXxZG/Ym+LIyOJPS2MDpS0JeFkaLv6G1hdKSgt4VRvnFkzEoVCoVCoVAoFAqFop/xloIMvJPOB2/Zrbc3CXc2U5QCRCVhHfMVzaCbfLgGVKNKgXvwu0NOseXjfxtxAK6MDlXeInDdLhG874Uo3M4b6WAn7wbfXDPXSl/bBvfnqKKedzxfj5Iuu8e+q3wyHYZ+omWNlWbXZm9uznxgzwEKyV/i2AnlA7giIt+vOslKz23B97LYxUuN2LU0RI1bRc9KpUB1ml2JeASvtWAFv4YOo1/jg3fjBDqwfm4MTS8pIi9SiKF7vwSaQueLqL8LNsAlv8aBdjCrCvmIdqGd8g7DQhLUWNoCauZ4igdUUWint9RJ/rCnAy7omiBc00xReqMFfaOmBt83M4W0N0A0BopJk1lppwCuuBs0tOvpXPeLTaDjTCoFDeBjpaDAuMmdfTvRW5jGUheBZ5L7w7IIdkILiKLKrmwRkTXtdVaaYzK0UIysISRW0RjrmYqYb3RTB90575hSBsrj5jAO2XPe14XR7jkuWmkh6o89QRxDYkca38dx4Wa7QceZF0fbfsVjj8O0K412xLHgarxoawWCdzBVbE4lPM7PtxJdmGw+HwJmmjTH8eH4PhzbKd9g+g7H54gRPXNWJYREmFLL4jsuh72OlzbBhg2iPuomuleIDvmOJIr40hD67mfKIHSyvQBj4lg/xpZtCdABZ5Pd4VhLK1P2GCOvN4HaeFoN+ivTUjYn8Bsep230J/LwHVOBg84iIkv25Y9WF0rCXrMIQzsdEOe4KfUxCNVMJtuUInot930WOWgi0Y2jgmB5FBeCjvOnpD3OURX1xa3hfVaa49i8kALlag+JPvFh7+IS9HWmOc0hivHaBJ7zb6rH0SXwBi+jcUlExMd9zmePyZVPvNGWFUDg9nJ0OY4a7Ilh7BritufjhWbYC6YPL072TMNlOvaeQpTnfdSPWztgm2qDsH+bW2F3v14NpsS05P+z991hdlVl9++0W+be6T11EtJIJ4SeAoQuGoqAmGgUEQQUG6ICyieCfmLBDxGVXn8gTQVCCyGkAKmk9zbJJNPrnXvn9rt/f4Sctc5lhgxwwwTnXc9znmfn5sw5++zy7vKuvV6MV0e70dcni8jbUbxvVCm+48LtmCOeV4o5kItYpplOtLvde+BBGU403e0OtJutbd1TtD4tOG4h00/ZFvLxDgaPz+Oz8ZyAQZnvDMJeM1WcxysRkV9nYb7/FHnmlhKVbnwYhfi+C3UTprx60tG2gxloN/tCqCMW2hpG1NX3oshrXpadbleQBSG4ENkHXgeMI0GuNfVHKK1OoRCxL4wUCoVCoVAoPg14YaRQfFzo4kihUCgUCoVCoVAo5BC0ukZW6SG6WUcM7vJqP9z4CQ/caWHSFWd63hfLocoUI6G8c0JEycvC34qILKWYRBeTmsg8UsJ4MVJlpVkJqyYE+kIOKV7c3AqqHuv7cxwmplNUkJ58MyliiIgsJjfkyFy49LfQYdBowq4Gkkp4P3CHX1k02fptRcyu4H5P2yorPa0QNJrpUbht/nAGyvmK9eT2JJrO2S7Qi2oMaCwMppuwuiDHmfp9IdytD2TbKYDpUy6z0k/c95aV/kXLO1banYX8cdybZqIWxnPhxh1EaoaDS0CZySf3boext7tVkjrkueDubQ35u7yHyyeL9i1edKFv9IuD1rC/A+WfeM7+rLejoAj5/OivF5SBMjI8Df3BS3GtVgra94xSxIB4sx7UvaOJYsf0liofUTC8oAhV5trpqmw3WJWGD4N2RJFvpuUFY4dvT+cg9ZbpYiIiW9rhfmf1LI4/YiiuU4kLu5b7KQ5UbQBUElZR29QOOtM3itGPm4SoAZmgH+QnnTXeESRVQaKLDaMYINUBlPngHPy+0Q87FSJqxsxytJUNQahX7fIhPSofal5s51mdTESka8LHJ0OgG4UzbyZsmY9otFUUS6eC4o3xc0REhhE9erQb48zadKp7Z4F0hXPyx1jpaxzoP+1+1NmMNsRvGVdQaaWb0lGZNUQfvc4NurCIiFAYlTCNJ6zkFCdVpkZBfbBIASs/tka7tkWpALcl2zyB8phHNBhWR2Slt3Si4+Q7cT/TTzNISXNjRzX9jufMcFfa8vc2KfPNKAKNfH8CdofjVOU57HGSDmJT5/4uf3+uDvHD3ESzZSpuTQDzE7b/InZqPLfzVOMgNctD/aeIYnhtjqA8p6fD9omI1BDdi1VH+1M/2Sj4+597QTn9tW+llS50glrKcyhvBspqXH6llWY5mnMuQ3/rXIP2vL3KXl87G2jcp3b0kyj6wzoq5l/V41t/Woh3jA6AIvocK4Amifg0dD09+kTY6weVjNv9QC+MQr4T38txnGaSOvGvimFfPGWwIXduxJGHXQbt3ySJWTsoDuibO1CGPgfytIKodIuIlpqgZ22jfjWMVIV53GD7wbTgjzqiUkzxUvl4B1NGmyP2+Xt3UM+RQqFQKBQKhUKhUIgujhQKhUKhUCgUCoVCRA5Bq2P1EXZlsULGyDy4QLcS9eSK8hOt9DMtCH5XF4fb89IMuGTriCL3XpJS1KUCd+XQMNxr/Vxw/21zwL14rIG772U3nnV0Jtyqr8fhshuZBTdpixf5O4riDtgCmSWpmq0k9ZloNvLHVER25e3/iMBTnwQ/LjxeREQeCWyxfgvH7USW4/JAmVvaDqrbIgr+FVoHBZjZMdTHV5vfttIIt2pXiTu+EDE5WmL24LkHwcpBI6ku+s2xu7/XfvVlK/1CGqgh3yeFmsd9UAUc5SElFy/cvtWkpBgmamAt5e9lCuLG1IxUI0Q0U1aLYioF97H3O0FFYEoFB56sIYpWgctehkyjmeaFalKbQbvYnwa//1BSe+S2zvGJvOSaZooWu/P5e/ZRIM6xpBAjYg86l0zBOoh+btAaWkjxKJ8oinV2EbxPjYOUn2QaC9Ni64NoVxzUlRWlTneDflpNgah3RkCxY3oRK/M81bbWSrN63+yCU6z0XlKyEhHxUZBaroP5RIUcT8GumQ64P4DyZ/rB603oY/zM7EyiCBHtxdZOoynklCQhSLZtWC4oGUyF3NYO2saxFER8FQcRJwVCEZENLVX0DuS/LQx7cZoXwVtPi6DPPG1AV2n0wc5NugplUnYvbB4HGB9Je5SneVBHftNtfHZpjKJdsLrUwGy0tZPy0O+HpqHP3N2y2EqzKlmqwcpt3K44EHxDN7HlxtN4zgEjmZrDNojtSRbZ8c4Y6vGf1K9ERMZ4QQntIGrwIlJgY9rSdKqbOjf6zKt1UAAtoSDkA3Lwt/WdsBncTovdmEskq41VuGHDI4eRlj8m/0A/qAthPGmg9sU04g0COyMi4iZaOivZMdVwej4oWz+sxQwin5SH+zlg/5xkRzYHSBmUaMXDYqjj/zyD95bG0c77u+w2/LZM0IFzHbjvfpgw2RnFPZcKqLVPEZXuAT/s4lFExWUaeKoRofbNKoaNRMNlRdFRBWjb4xPoe97+GH+oiuWXV8AGxXZiDvzcfJSBiMitnZjLb6Ex60RSjl4YAZWOKffNYQrQyrRZGkO5bxyVg3fv7sAz2eZnJPl3WLmTFSw5uCyvXz4K6jlSKBQKhUKhUCgUCjmE56gthN2tJtrB5EOOvGNZSjunjzYst9K3lCAy9UOd0Jdv8GBl+GACO/ini31H74qfYYVq6nDQ7PbHsfNw3+XYIco4HjEgvngTVsrf81MsENoZ3BhGzBbe/Xy7YYOVLiV9/h96oYsvIrIxCzGQNrXhENgxhfDWcDyOVOPgyns4Hb4elm4/HLiCtOGPonKf5kD68qnYNdn/LnZpjk/Hzk9uurPL9HsdOGzMu1y8k3ZJPg7319Dh9a/fG5arQ9jd+HIAO3x8KO/MMnjijvGijfylFM/q9KFtvizY5X0wBO8eH8Rmb9GQJNGALY3Vkirwzinv2gej+L6h9P7NbXg3H+DlHfnTS9DOkw8FD3LQLjV5i95rQznwAeNML9pqcwLuGPaGcGwP3sli70ERiZvsDaDNbWq1x08polg53R2w5B0eFnTgA/apxsG6icXjkkuHxVnAgA9Rh2mni721c/3wUPDOPgtLlGXDprB94B13Psj9kpvLKSarKA5OiP6+xI3nenK7jnXTGMKOI3u4t1I8iIG52OHnOubDwSwcwgf9RxaAUSAisqmhRlIF9ijyIfCtrfDIczy8rT78zuXJcTBE7B4mjsM1iQSBOFbHa1kY+xaSt2EXeRtefAF10R7BjuzVhRDdGEHxgB6KYZxtzrDH8GCBH/a2ckzBNeQJLyyDvX2+E2MUi8M0Rrr23KQCg7xoP16KZbK9A7aKRY/G58CmL/DjO3h3fEI+vDfcl9jHxp6+kwoxdrEXVURkazrapCEv3TfLTrDSO+Kojw1RzCVWN2O8Y9vOMByPi5gDPH9yUb9K9hxta0M5DSQvVKpxsF0xC8hPDIUcEmpwp9nZFWtbIWB1Rgna23VeiAC8mUC5faUCZXvPNLS9byxEOVRHUd8ce/B4J+YqFx6NvrBtDbw6NeloZ0MjRr4fgqeD7R/Hf2uk8c7G3sjA7880QJ7pwTzEjPxxGHOVwxnLssKD/LIHbQ/Fkyun8ZxjiVW78d3Pr4JHaXI6xqURM+BZcZyF7/v6H79py8dX/v5LK936EvrPD4jCwd6fqg7MrVkEo53WDVVpuIf7CXvX2cbt60R74r4kYreLU0ohPPZOA9YdPWU1qOdI0evghZFCcSSAF0ZHIlYlBQhVKBQKBcALI4Xi40IXRwqFQqFQKBQKhUIhh6DVnV0K1+iOMHYqm0JwhzL15aycEVZ6UQbc+JVRuKwjRGV4qPV9Kz3IAxf8NVlw94mIdDwHGs0TO+EWrEknetSMM/EHYbj4XB68z+dDXv3kku/nhqv4aCcoGzWdoM9kkTv5ubidwsQHxKo7KX4LHQIrcIDmZo9A9OnxfORAWfNh1Tea7YdPcymmytQCUA3OCOJvOrYhXTIUbtnEJqyhi9Ph5dkVg/u7vxuu7SvSQK36TRCHFxeHQG/ZQ5SrBMVdEhHx0kHnL5BG/1NBUJUeSEecHU8F2ksewo3ICa+jjjdl4/4lgSorfWU5RB6WhlNH/UmG7UBgHO2QDw9v86FdHV9Eh8hbQeFwkFhJfQzfPYP6nojI9igOAK9uZdEJ1OXYbLTbPXE8a7UPVAk/xXFgtzgfdOaD0UO9oGix6zwzSeyCaXn8N/kUs6U2gvbVSXFrmKpZE+k6xsinRTSJcrXXj8PKTM06pgiUqyGZoFDNawPNiussbhyURjvwER2giERkmEY0PI7fFybs1IARFG+EaZvuNLwvNwN9N5gFCg+3TcZQEqTZ3gnKLVMtlzWDpsnxqlg0I9VgQQYuw6F5oN3sIToHC0gEiVKxO4meyW20vwf2rJxivizrBD10kAtjxYUliN+ymUQ3bu1AOfTLxv3/CaJPNrkxpsVprHytEbZTxP6tpxNlbkXrDis9qx+EkJb40Y/HevCOdQF8Q3I8r1SC488xtZEPjvcniuTSFrQltjXcf5Y2QnSIqbk5WbAbe3yoez/1E6Yni4hckgtaclUCFJ65HXjH6Gz0Kx/FdyyimDZHe0FH2xeGnWCaLVN8ljbhO5nezzRBEZEECfccTsrWQcGFtUTJZLGYcSSmUyF2IRim0vF4tDwL+c2kvK8Moh386y2MWW1ErfprGiiEV9Bcq9yAbvzDTWg3eU60j3/7MO+ZyZMBEVkSAhWPbdWmToz712bjbxYmMP6cWIS8PiKoYxNCOXmy7DTYVIL7fjvRzUpI0IPHSKaObU9gLvePFhwV+WsBjruE70XbHn7MIiudnWeP65bmRP0XXYWYpd+9CfP9P5BQQ35B1+P5SSUYN99oRp6YDs0CF9y/Of5X8thVTvG13iVbwVRiPgr0UdZPPUcKhUKhUCgUCoVCIbo4UigUCoVCoVAoFAoROQSt7g1y6x9XiJgJ1THQaFgDv9nAlXd8Ntz4zySg+HJKFtxpw9LgKpseBM0mELRTRuJ7sIb7Txz0jh9EoCCVlgdXrNkDZYpoCJ/4xwRcdnEv8v23LDjXssgFfEMRKAqNacjfwpBdxYy13FkJbn8Q9IrGoE8OFzZ+oJAXJ4rE1NLRtnvY3c/1enUuaGWbq1CG7awi5AQ9YHgC1ITby/BND7agLvpTXa45D/SUby2Ca5PVVJqS4iKxas9fJ4MetmIJ1OeqOH+D8dx1z6FNVRTCzb+1HXXEdJhKG/M2AAAgAElEQVTFVJc7fIePVsffxMpkTPXwE7UqLl3HOJlINKviTHw3UxxFRHxxPItpKUxnW9QCt/P5RF+ckFtJz4GrPkBpWwwBoihwrBiObdQQtuePFaUiFIOKFRDf70SbZfqPOynGTypx0H3fFLSreDFFluusOAN1wKqXTCliZSRWgRroRByTtztBLWDlrJUtoEx9vQi2ZX0zKFMiIueUg9a1oGmjlT6zGNShufWIx8LUwC8UQzltRj8ohs0LVlnpiR7QUnOJqrea1LYMtdlgUpy1VILjTHEsDGc6aDetTvR9rgumlSZTlcoprgy36aY4aBjHZINClZOGflUdR3seQPFenq1fYaU5pg3H2Pl3K+xxM8XzSrbhZ2fAxv4zjPrnb4pT2ykgUZHX63E4nWOiuQ5jX2J1MKYFebOI3plAO7EpYJIiF7clbrfcr5ooXhJTyFl18BRSrhMRed6HfnKjZ4KVfo1sG1NwJuVj/CkiquVaH97BardM3d/XgbkAU3yYvpYcq45VGTlOYqpxkF56dAH6OFNzmW76fBD2SERkggvU7H1U35tDsIVcVnemY/5XQ4yoF07CmOivQvn/ZS/s0Q/CXdP++pMy69dyMY5lGzvlqiWCvsVx5YpJEe8dwbuHpKOeXiKqJVO8OB8t4cNXR1Ea//j9+wNoV6eTrd+XxbH46DnUx17MRH7vILXbsetRp8dfh6MvIiLVaeiLl5KtessNO+KidcDrDaCXD8sHRfXtNpQnH0vpICXhfX58G6v6sr1zJMVE3R0GVZrrhuNaDSEa/8ra7mn56jlSKBQKhUKhUCgUCtHFkUKhUCgUCoVCoVCIyCFodR5yYTMtiwOrre2ostJb0qBAVpIFNRdWOrouBwFUXfC0y88ycM9jbrt7OT0D7rGTElBQOnUyXGIZA4iCMBiu1dIzllnpgt1w0/n2wA2Y0wYXa5SoIXfUL7bSZRQEtqHTTrnJpSBwrFAzygM3YhZRPnaF7AExPy1O+EDZbAVRcJaSipSIvS4nFoIe8KMolNDmuFGvf25baaW/4QRlp5TkPa5qxDeNy0BljiyBS/fKRajLo4hGeYkDLuD1WXYK2XZqC84zQXc4PhNB/EK1pIC4B+nvp8HV+0AA7vYGUpAa7ALVr78D9RrLsWuXbArukVSBqVJMy+J4OkyjqCMaGgcFZcUXF7Wp7HQ7PWatv8pKc2C0ci/KxEvB/Zb40Q46ori/xIXyYZrMsHxSaPSDZuvIRJ5aoqgLpsmIiLSEQKtk5aB2ou4xzZCDMIdih4+ydTDgYdxlbwtNRItlJaAyCjq4hZSnuF653Dig4lZSSTq1FP1hdwjl6fSgXm9sW2qlmUYnIpKThnL/Ugls7IL2rVZ6VAGoXJmkvrk8AgpMG1FcR7pA41ruA6XlrHwobxUQtZMpgKyedzjB1LgVjbB5w4nCwe2T1SErKbCviEgrqUCNoIDaFUSdZLUuGr4kQWKM64heOZzKgQPWch33z4Y9GpgNajNT+0RE9qWBesR2awgprHKQzj2dGI+7Q/JYlkowTTnXAdvPlFVWpWOFzjKiYuVkg1q1OoSxocqPci5wYb4xOw/j/1ukZpkcKHtKDo4KzE1AmXZ4HmxbPgXiZfqcXQER9shBymmDKQju1jaotOUQrZCDwDJFSkREKPxfP6KCp3b2INLfe6D9cftkiipTgQdRWxMR8RC19BsOUL5/XLegy3f9IBdzgz8L5hvOGRjnvV/+vpX+5yQEHX1UUJ6PkGruljja05gI7MEWB/dQ+xjMtOQRFLB6XhtKd1xBpZU+loLOF6Whzt4gRTWmTqYarTReso0IuajOyBaOcuKe8jSMUZOK0Obfa4e9LqVxvn862vz/Nr1ny8fIXJTVburT4wR//0YTKOK2gNMUePzn+cdb6XWkOv1etOs5F6vSseJooTNprUA2k6mIMRqDe3p8Qj1HCoVCoVAoFAqFQiGH8ByVubHLzLtvHP+Cd6VPyMVhO17BDab729Kwmvtz/RIrPb0E+vK/j9r14pspbtH8Juye5q452Ur/aCtWuLGnn7HSiTBWjKuW4iDWchfFHknDSvRfTTi4yofA6wLY8Ti+yB5TJkZ7iKuaEIuHd+CLXXlyuDG79DgrvTxkXx2Pd+Hb19DuG+/aN5DoBB8mfc6P3efybHjoJqejffDhx9Nr8fwciluzm3aj9juwsyFGZARtk43PwS6N/1nUB23iyWN7sAt+dBj1lJ6O736MPFV86PL9NuyCD6b4WoczlkR3h5OznNjp3d2Bw4QDvSifETnYfeY8ru/ALhfHHRKxe1eyODaSH+044EAdc4ysY0j0YXcQu898OJljDURi2NFmDw97pna029sjH5r2ZmBnq52EJPiethB29b0OuxcqlWilQ7vNIaR55ztKdbkwgB3Ir2ePstIvRiH0wWIULETBh0n3hrFzXd0BW5vjRBly7J0vJVDOIiLDaTftKdpx5ndUZOFv+CA8HyKPky1b5oM3cYQHu+kLfPDQsOeBYxtx7KtUg3ftqwLwHrBXlPvYpaXHWullQdQL/62IyCn5sOtb6UC5201CD3TYeFsYfeN8N7zx7LFhbzDvXu6j8WQixcqqD+P3MTmwTSIio+LIhycD9ixIddYueAfbChZH2dQKu5Ec+8ceaefTgduVi7zf9sP+uGd9O3aN36N5xfnliKeyuQ31N4w8PLwr/XQHhBaO98KWsbdURGR7FH2OY8yxx2dte5WV5jHcS57wfAd2r9lDxN7yUfkYr9jrt6AReeXD8iJ2T06yoE0qUe070F6dJM5hi8tHfYkZQSIi//aBzbHBi/q4sAIiL0vaMSe6wgOv8+mzYYOi78HbEFv1HSudQ0yhMLln8xxIF5KID3qPSFk8XR6Lo62z2MlI8qLzuDskhw7rkye6g+7n8qgJgFHFY5+ISE1b6gSeuK3XhfBOFgraHobnagR5jkJkH452wB5dlAUvUAPNy9fH0daykuITlmWi/jcE0BcTNDf7cgn66xO1mK+zQMIrCdjI7X7MF+s78e7R+RAIYVtWSm3wnRbMTUXsoi4VHgjsNNBzwz1knqjnSNHr4IWRQnEkgBdGCoVCofh8gRdGCsXHhS6OFAqFQqFQKBQKhUIOQavb5YO7kaksDVEcTmbX+Zt0EIvjIo3IAt3hXIqBU1o63UrvTcfvPx+E94qILN1GuusloNI9EYS79rJr4VJ05YDmc1894mDQ2Wn5VinecXoVXG5ME5xYBKoExxngGDIidlf6tNIxdB9ICtWdh49m0v6BNvxaom0ku+Ej5Gbd34my8mShUP5eD2oiuzEbg3jWY5mgETEF5ygHKD/jKSbKahIGGOMh1zT97W9I+EJE5JU8xJf6352gMqyLE+UkA996PNE0znSAgvZ8J9oHC2UUOOGWPc8FCt9fGuECTjVK3fgO9ko0UNmWuOGWz6aDuic44Op/NwJXPccLSRYp4MOno/LhPt/YCuoKU2qYKrCxA+7yeAK/M/WOD4W2BnFYlKkLHM8pOYYHHzDdJqC0tNvoc/g+jm1wOHGQJpZMN2KKTHUHKAFT83Go+D8R7FRGqU3mZ+HbuXwK3GiHU7MrrXQF0W44dhDXy2a3nYLzRgbq/4QEnluVjf4QNlHpCmzPtxP9kWk+E3KQP24HnL/mTjyH6R6pBredIipDpnKXEI22zaBsBjhAtWhOikuyNwL70hpGPc2neFtMDyt04h188J/7A8ckKaI88TjTFrXHebN+T9ipsusz0Ade6wCdpDuqJtsALpvKXIhNdMbsRLpWSR1YbMFDFNvqjq7jlwyneCdsp94lWhbPQ3iMaqF+dQFRupZ1gELNIikiIllEs8shW8N9gIVFtrWjjmeUQEBljR95HUwiH3s6QM2cUTrOSr9Rt9ZK9/My9ccujtEWQTtiin+qcfDQfKUHeU90E2cvZOx2hymFp2ZhrrUlgfpgAZd0ot/X/Qf9b20T3v2uC+++6TjYvD+uRl2UJvCceSTIsIjGfBb9EbH3DaZP8xw2QHF2zi6HsM2OEGx+U4gEIAowf6gJgqaZarD40hZ/S5f3DCkFBZH7ezvZ/T0x5D2UiTa1n8STqkPonyzIJCLyfgfmfzy+h23vQL2yDeK2viOI+TeLlbFgxLpWvIvjqTIlPFm0hm1OkI4a8DGFHW3dxzZiqOdIoVAoFAqFQqFQKEQXRwqFQqFQKBQKhUIhIiJpIt34T0UkiyhKM8uh+LPcD3cXq7hdVEaqQAG4mn/oBtVsXQZcXaMToK7MGg73qfdcxDsQEUkrgjsu84tQMok+8TsrXfCzV6z0Q4Wg641zwI3YbyTcfX/bAqrROoH7dU0nKHKne0Cre5PiwDDlQkSkyAW6BMcx6SAX7Ug3qFFzq5HXVGDGgLNExB6H4YqCSbZ7tiXwjZlERyhMg0LN003vW+l+2XBjnpgNOtzVETSXBxx4zrNNq630UTlwr1/sgNv5tRhcqXtIBY0Vi0REIgm4aGflgo6wmmh1rNQ2Iw8qYatDFPuKvjNALtbTvVCHeqoB8ZzSk6hAHZ27JVUozoUSFiuqdEa61ofKzOia8TqYFKxY/SVZaY8pGaw4U+qEm5xVXzb40f9qyG3fPwftIINoKHGijZU4QBncF4RLvsKFfssxj0TsNJFMyh/bE1YlC5B6IlP0Gnx2tZpPi8ysA9QepvSJ2Gk3TLHbQYpE/B3F2bAJJ+Wgvb3aCHWnqUVot7tJaYhjiTiozF+rg3Ljdf2m2vI3P1hlpYNEIa0JgOpxVgn60gaKsRQiVSyme3GciAQrLFJ/ZboCx2nhtikiEqD8fVr0L8B4kkdUqVqivzF1Nkw0DFY9TKZqDvXCRs90Vnb57r2kbLo9irbKMZ7GkMpSpQOU8r1RjEVbfRhnZhQRFZuodGzPRex9nGOfcQyukXkY13j8YVXSQqJ5rm7BuCYiEgnvk1ShwAuKDKuC7vJjHKjIho3gsXMfUb+HelAvm9q7VuhkNTimv3H7jCbstNIQ0YKYlsxKnEzzZdW8d9qgZMb2fFoh+jSrPbaT0ifTuz4qZhtThJjCuaVxRbd/80lwcr/TRERkRRO+aUAOyo3H4+RxhmnCLopxNyG30kpzDL5dYRwvqA+i/3yrEHPH6ytAR3yoBnOJgTG04YcECmdr2jBOj85D38vNsKuasi0dmI6yfbIRcwCeu+ST0m6ExjumHHI/TrYnTaTq+WlRlIM5MdMft3fAjnMMIlaVG0Bxi2KU94dr3rXSPPcpcqOtTc7FHFhEZG8ENpZV/nisKM+muKGmazpouRN2cU0zqK88znLf5TGtOWSnQzO4b7GtZ5o80wE7PyKWpXqOFAqFQqFQKBQKhUIOIcjAh2q30Yp/Ih2430ar85Wd2H3mQ24vC3Yvl1McIF7prt9JcW/uaZMZETz3C9OxU9L411VWur4WK1zeZbmiZaGV/kk5dlhDW7FjtiaBnalxGVjFLqaIx/P82A2soJXuQNoRFxHZ3IHdAz5gz16B/KTDoKlE7gc6/1cVYPdlZdx+tHZzAHlkT80kEkn4XcFJVtpPTpSnw3SInzwPYUOxK2jngOMzPBTYbKX5IHtJNrwN8XjEtuvOuwoD4vj9/xo3WemJhdjReLYe7SNBAgLnlR9jpV9vw479/6Md5qtKIf4QTXKi/nVP6jxHfDCRozpztGeOR+SmmBO5jq53x9mzMpJiTIjY436wp4MPM24PYoeOD9aG3dhZ4Z35La3o31x/vDPIB9A5nkfyDlJ9CO2Td765H3Ob4F3iQNR+UD2VOFhLHZGgDM0jMReyhfv8sB0c24d3d/nA7xvNEKoZmw9P6rx6tEkPHTRn29lA9cjiA0+3rpE8qrM8KvetVE8c32ZxK7xs7O0+2gs7zDFo4tRmG0m0gb1lLMjAoh4iIuXkFdiVQs8R77azyAH3GT/ZcQ8Jl/DBXvaYidhj6JxWDru4JIJdao4x8u2c8VZ6WBnaeoHALrJF2RxHfzuxAJ5kP/fJTrzrxDw7g2IpCRPUB9Au+Lvb6bv5+wa6Mb6y94VtiIhIJIVdy3Tj2Q7QuJjhwe/NfEiebOFmH+qF48WdVAwxFI5hNIg8pM4kT8dYQR96L0G74CHMb9jbekoJxARW0mH0sTmYAzmpv26mg+ZsUzvJZg3Pga32xeziThxPMp3y7kj/yKnap8LyxgN2YXQhbJObbHozef2T5zEc++6CwvHSFSbFYdtaKVbU0WloH9UJfOuFe2CDLsyC3b0jgrkEs3q2Z6HPcF6box2yx4c+V5kLD2Q92Uu2U5va0DfGFVRa6Z0deAe3QY5/lzwGL0yh58hPfWZngvJCXsst7egnhjzIO2KYd5UTy4NjUcXJUrXEUafj02FfRUQEzUJqMtFPirPw3Bo/fq/wYC5XS6wQjn9ZRvGhgmTb20mohtsZsxsyk+Iw8TyUx0teywygeIHrP2+eI14YKf77kdzAFYreBi+MjkTwwuhIBE84FIojAbwwOhLBCyPFpwcvjBSKj4uPPHOkUCgUCoVCoVAoFH0FR6TnSKFQKBQKhUKhUCg+a+jiSKFQKBQKhUKhUChEF0cKhUKhUCgUCoVCISK6OFIoFAqFQqFQKBQKEdHFkUKhUCgUCoVCoVCIiC6OFAqFQqFQKBQKhUJEdHGkUCgUCoVCoVAoFCKiiyOFQqFQKBQKhUKhEBFdHCkUCoVCoVAoFAqFiOjiSKFQKBQKhUKhUChERBdHCoVCoVAoFAqFQiEiujhSKBQKhUKhUCgUChHRxZFCoVAoFAqFQqFQiIgujhQKhUKhUCgUCoVCRHRxpFAoFAqFQqFQKBQioosjhUKhUCgUCoVCoRARXRwpFAqFQqFQKBQKhYjo4kihUCgUCoVCoVAoREQXRwqFQqFQKBQKhUIhIp+zxdFpp50mixcvFp/PJ/v27ZO77rpLPB6P7Z6zzjpLFi1aJIFAQDo6OmTevHlywgkn9FKO+yZ6Uk89uUdx+PBxy3/cuHESDofl1ltv/QxzqehJPS1btkyMMR+6nn322V7Kdd9CT+qouLhY7rvvPqmrq5P29nZZsGCBjkufMT6qngYPHtxlH+Jr+vTpvfwF//3oSV+aNGmSvPHGG+L3+6W9vV1efPFFGTFiRC/luG+iJ/V0yimnyMKFCyUQCMi+ffvknnvukaKiol7K8SeD+Txcp556qonFYmbZsmXm2muvNb/97W9NZ2enWbx4sUlLSzMiYqZNm2bi8bhZt26d+cEPfmBuuOEGs2vXLhMKhcxxxx3X69/QF66e1FNP7tGrd+uIr4yMDLNq1SpjjDG33nprr+e/r1w9rSefz2deeOEFM2vWLNs1ZcqUXv+G//arJ3Xk9XrNpk2bTFtbm7n11lvN9ddfb7Zt22YCgYAZM2ZMr39DX7gOVU/Z2dkf6j+zZs0yV155pQkGg2bPnj0mPz+/17/jv/nqSV8aMWKE8fl8pq6uztx4443mxhtvNPX19aahocFUVFT0+jf0hasn9TR9+nQTCoVMXV2dufnmm83PfvYzU1dXZzZt2vR56ke9noEeXStXrjS7du0yLpfL+u2aa64xxhhzzjnnGBEx77//vqmqqjJut9u6p7S01DQ3N5s33nij17+hL1w9qaee3KNX79YRX7fccosJhUK6ODoC66mystIYY8ycOXN6Pb998epJHd1+++0mHo+bqVOnWveUlZWZQCBgHn300V7/hr5wfdIx56677jKxWEw3Go6QOrr33nuNMcZMnDjRumfy5MnGGGPuvPPOXv+GvnD1pJ7WrVtnAoGAGTp0qHXPyJEjTTgcNr///e97/Rt6cn0uaHVOp1MaGxvl/vvvl1AoZP2+cOFCEREZP3685Ofny4QJE+SZZ56RYDBo3dPQ0CALFy6Uk08++TPPd19DT+qpJ/coDh8+bvmPHTtWbrnlFvn1r3/9meazr6On9TRmzBgREdm8efNnn8k+jp7W0Zw5c2Tu3LmyePFi6576+nq54YYbbL8pDg8+6ZgzduxY+d73viePPPKILFmy5DPJa19FT+to6NCh0tjYKGvWrLHuWblypTQ1Ncm4ceM+20z3QfSkngYPHizjxo2Txx9/XHbt2mXds3XrVnnppZdkzpw5n3m+PwkyezsDPUE4HJZzzz33Q79PnDhRRET27t0rPp9PRo4cKYFA4EP3FRcXSywWO+z57OvoST315B7F4cPHKf+MjAx5+OGH5c0335QnnnhCbr/99s8sn30dPa2n5MVRdna2dHZ2fka57NvoSR1VVlbKgAED5M4777T+3+PxSCAQkL/97W+fWV77Mj7pmHPHHXdIMBiUW2655bDmT9HzOtq+fbucccYZUlxcLE1NTSIiUlBQIPn5+VJbW/vZZbiPoif11L9/fxERWb9+/Yfu27Fjh1x88cUyYMAA2bdv3+HNbArQ6+6rj3sNGjTIzJkzxzQ1NZl169YZp9PZ7b3jxo0z8XjcvPLKK72e77529aSePk5d6vXZ1tFNN91k2traTP/+/c3gwYOVVncE1tNjjz1m2tvbzf333298Pp8xxpgdO3aYyy67rNfz3NeururozDPPNMYYc9lll5k777zTtLW1GWOM2b59uzn//PN7Pc998erJmDNu3DhjjPncUID+267u6mjgwIGmqqrKzJs3z4wbN86MHTvWvPbaayYQCNiodnr1Xj1NmDDBGGPMz372sw/df//99xtjjJk8eXKv570HV69n4GNdBQUF5iD8fr+ZPn16t/d6PB6zevVqE4/HzbRp03o9733p6kk9fZy61OuzraPRo0ebUChkrrzySiMiujg6QuvpoFDGs88+ay644ALzjW98w6xevdoYY8zs2bN7Pe995equji655BJjjDHbtm0zGzduNHPmzDGzZ882a9euNbFYzMyYMaPX896Xrp6OOffee6+JRqNm0KBBvZ7nvnYdqo6uuuoqE4lErHui0aiZOXNmr+e7r13d1VNWVpZpa2szK1assN3vdDrN3r17jTHm83KGr9cz8LGu/Px8c+mll5rZs2eb5cuXm2g0ai6++OIP3ed2u838+fONMcbccccdvZ7vvnb1pJ56Wpd6fbZ1lJ6ebpYtW2befPNN615dHB159SQi5uqrrzbXXnut7X6Xy2V27NhhamtrTXp6eq/nvy9c3dXR7NmzjTHGNDQ02FSa8vLyTFNTk1m+fHmv570vXT0Zc1wul/H5fOb555/v9fz2xeuj6ui2224zxhizYMECc/nll5vZs2ebd955x4TDYfXEHkH19Mtf/tIYY8yTTz5pxo4dayZMmGBeeukl09zcbIwx5sQTT+z1/Pfg6vUMfOLr4CRgz549tt/z8vLM4sWLjTHGPPDAA72ez75+dVdPH/cevT6bOvrpT39qQqGQmTx5sikqKjJFRUVm4sSJxhhjfve735mioiKVXD8C6umj7rv11luNMcaMHTu21/Pc1y6uowsvvNAYY8zf//73D9330EMPmXg8bjweT6/nuS9e3fWlc8891xhjzFe+8pVez2Nfv7iO8vLyTDAYNMuXL7dt+mRmZprVq1eb2tpa43A4ej3PffFK7ktpaWnmT3/6k4nFYpZ36T//+Y+58cYbjTHGjBgxotfzfKjrc6FW1x1CoZC8/PLLMmjQICu4VElJiSxYsECmTJki//jHP+TKK6/s5VwquqqnT3KP4vCBy3/27NnidDplxYoV0tTUJE1NTbJ69WoREbnxxhulqalJBg0a1Ms57pvoaT9paGgQERGv1/tZZU3xAbiO9u/fLyKoD0ZDQ4Okp6drHfUSuutL5513noTDYZk7d24v5k4hYq+j4cOHi8vlkqeeekoSiYR1TywWkyeffFLKy8tl1KhRvZjbvovkvmSMkR/96EfSr18/mTJligwePFhmzpwpubm5EovFZM+ePb2d5UPic7E4GjlypOzevVuuueaaD/1fTk6OJBIJCYfD4vV65fXXX5djjjlG/vSnP8l3vvOdXsht30VP6qmioqJHdak4POhJHV133XVyxhln2K5Zs2aJiMhjjz0mZ5xxhtTV1X3WWe9T6Ek9eTwe2bBhg/ziF7/40D0HJwm7d+8+7Hntq+hJHW3ZskVCoZClKsgYMmSIBINBaWxs/Cyy22fR0/nDQZxyyimyYsUK6ejo+Cyz2afRkzqKRCIickBFNRkHf0tP/1xMaT+36Glf+spXviLTp0+XhoYGeeeddyy1wWnTpsmqVas+N3O8XndfHerKyMgwLS0tZu3atSYrK8v6fdCgQaatrc289dZbRkTMo48+aowx5q677ur1PPfFqyf11NO61Kv36qirv9MzR0dmPVVXV5u9e/eanJwc654BAwaY9vZ2M3/+/F7/jv/mq6d19M9//tOEw2EzevRo657KykoTDAbNU0891evf8d9+fRybl5mZaUKhkLn77rt7Pd996epJHaWnp5t9+/aZDRs22BQGnU6n2bhxo2loaDCZmZm9/i3/zVdP+9KyZcvM+vXrTUZGhnXPeeedZ4wx5mtf+1qvf0cPr17PQI+uWbNmGWOMeffdd821115rfvGLX5j6+nrT2tpqxowZY0aNGmWMMaa1tdXMmTPHzJo160NXb39DX7gOVU89vUev3q2j5EsXR0dmPc2cOdMYY8z69evN9ddfb26++WZTW1trmpubzahRo3r9G/7br57U0eDBg019fb2pr683N910k7nhhhtMdXW1aWlpMUOGDOn1b+gLV09t3tChQ40xxtxwww29nue+dvWkji644AITi8XM2rVrzfXXX29++MMfmvXr15t4PG6++tWv9vo39IWrJ/V00UUXGWOMefXVV823v/1tc8cdd5hgMGheffXVz5NIUK9noMfXJZdcYlauXGlCoZBpbm42zzzzjBk+fLgROaDadCj0dv77yvVR9fRx7tGrd+uIL10cHbn19KUvfcksXbrUBINB09LSYl544QUzcuTIXs97X7l6UkdDhgwxzzzzjGltbaPJwwsAACAASURBVDVtbW3mpZde0sXrEVhPxx13nDHGmKuuuqrX89sXr57U0WmnnWYWLFhg/H6/8fv9ZtGiRebss8/u9bz3pasn9XTZZZeZ1atXG7/fb3bu3Gluu+0243a7ez3vPb3SPkgoFAqFQqFQKBQKRZ+Gnl5TKBQKhUKhUCgUCtHFkUKhUCgUCoVCoVCIiC6OFAqFQqFQKBQKhUJEdHGkUCgUCoVCoVAoFCKiiyOFQqFQKBQKhUKhEBGRzI/6T5drkJXOd3qstDfLbaUjiaiV3t/RbKWH5fez0s1hn5VuDfqt9PiiIVa6IxbsNh++SMBK93MXWemMNKztWqL+Lu9PGIjxhePIazyRsNJF7hw8J4TnGPrbfl68NycT3y8iUh9qtdJlrgIrvbVtn5WuzC3D740rJZXI9QwVERFHBqrz1PxRtntebVzX5d9GEzErzWWS68y20pPyh1rp8Rn4vgebVlhpbh/OdIeVDiciVtoX7rTSFxZPtNKtCXu05IHpePejTSgrV0aWlT45b7iVfrVhrZVOS0uz0lnpGV3+zt/5jdLjrfQ/apbY8hGL1kiqMLXf6Va6IYr+4Kd2Pyy73Eo70lCXO4MNVvood6mV3h9Bu8vJsLfJhki7lY6buJXmummPoK0nSLRySt4IK/2eb4eVzs1CHbdGED2e+wn3t3Qqc1cm3itir4OEQTo702mlB7qKrXRFJvro+53VVnpH0/uSShR4hx3IH+VJxN72WslGTChC36gJwv4VOXOtdDCOPlAbaLHSXofLSrPdaApz3SEfzZ1oN86k8qzwFOIbsrxWmvt3bQjvZtsZoXuO8lRY6fYY+muY7Hx2BuqI20FDoM1KD8hB3YmIVLV0bX8+CcaXnWSl2fZy3lc2b7fSOQ70jWgCfYHrVETEmwW746F22B7FeBKjv/dHQ1aay5PB9Xd64WgrXR1FWTVSX43EURdDPbAHIiK7AnVWmvtWMIb2VZGNdsC2pdaPuq/MxXPZRoqIbGpY3uV3fBKMKzvRSpdmoT+saIVNGZ6DeYKP8su2aXTOQCvdRm2SnxkjG9caxz1lZDfeatxgy9+U4qOtdIDGKX8c9cp9o9rfaKW5vo8rHGal17TtttJsU7mch3hR/p1xjH01AdgPEZFid56VbgqijbQFdkoq8UD/WSIiUhRDW/2XC/kaZmCnMgXtTkTkm4Mxx1mxDf2vfxbq4FvRJit9rAv3ZAvKZFIUffGMARh3/1qPstqSgK25fwzZwqMwLpkw6uuvb2CsFBG57iyMo6Ofxzu+kjvOSn813nW+f5yOueqJ+WgH93eiv5Un7H3pR9VPSqpQnIsxubuxgsecba2oF0cmyrafB/PYNupj3kzUcQ2NUYNzMG8VEdnbgTLMcdrnHAcRjmGs4H7C72bs8sGu8VycbS2PfRVelHljEL+LiAwl28b9KUC2ejDNxT9q/vCRi6M4Zc5Ng0V9JwYk/njuNmyYHel4DQ9UXLG8cOFBR8ReSO00weaCbOzEs9j48+DkzsCEghdsPLjw98SFJiYh3F8bR+MREcmlb9rYssdKjykcbKX3+hvkcOHggHh29lHWb0+22Cu90IUJ0yk5uO+1ZgwY5TSwGjLsGzr2Wuk1CRh/XoyN8Qyw0hsD6JidMRjZ0XlYbDcnUMfvtmMiIyLSEUbb4UXNYC+MnZsWD+eVYaHloSb9dO0yKz2nHyZUj9a8Z6WrEjAQ42ixLiKyui51iyOezBRlod3yQntp0zYrne+Cwef+s57qgst/LA06IiI7A7VWusCB91XSgmMrTQi4nhrimAyO8va30k20AcGbHIxxhZVWeogTxnBu/WrbfScXY/H+ftsuKz0tf6SV3hyqt9Icb2CkG/17h6QW/bIP5Hmnr9b2e5ELA09zEIM0T57YBvEmC9eTiwYqtmVcR7zIyKBJVb8clCcvSEXsg5YjD+/zZGDQc9JigAcLXtDu8KPN80KCJ+1uWphxuigbZcTlkmrs8CGPo/NhU/bQJsIQGgOGukqs9PYg2pSXykZEZJQT94Vost2UgUXTbvp7BpfDoGzYqa0+2MKw4Jn5mXhmiBaexW7Y6Xcbt9jeweOahxaoEQdtcNnGO9wzvhC2rZTsz5v1qVu0JoPbz/4wLWJzYKt4wV5P7b6Y2tLa9iorbdu0QFHZFuy80VqciZtKsrHYEBFpjKEfd0S77otltAAL0UJmaDYmWDs7Mbnjb9sXxOQ6hxbem9uwucOLphMLsOEnIjK/YT2em4dFZKoXR3MzDsxtfp+P75u9C2PRiUWYmPfPoEIXkZ/swZzhb7NRhtE9sIUVy1DugwzqaTiavdwlKJMnatAvr6V7LnVgbrZpNfrYM5vxu4Nmoa1p9g331lVoO2+VYb5yWh36wNsufM93MtFnTh+030qHOmBHfzAAdX95lX1xlEqwvee55CCaE/FGVR7NH0K0WEmj8nEmbQ4dBNvOMG3sidjn3B6au7TQfLozinaUSe17RzvsNr+7u40lnvcMy8c8hPtM8uLI1o9dyCtv9idvQnQHpdUpFAqFQqFQKBQKhRyKVse7grSbEohiRZ7nwE4Ce2CYQsW7auw92NSOXXBe2SWvaHl1WJ6db6WrO2hnhrw3+wP4nVfWvOuUT/neTW69Cg9clu0RfAP/LXsBRERaaCc5Ix3rzaw0rHDZRd6GjfmUoCn0wS4NitC2ayciUuTADtjiDuy3j8uDd4upS+/QPU3k0uTv+2o5KGlv0/0dEfIa0q751g7soi4P2QuB98GH0y4B70B/wYWdnDcjeBbvhhTQLu8V/U620p20E8zeqGqipp3pQlmIiNh9HZ8OmdQWOmmnmHdOJxaCosXUjuoA3PhMR2PK1LoMu5eLdz+ZDnJsNnbM8ol+1UBeD353Ae1wt5Hn6JxyeOsWNW+20i7yztbHcP/0kjG2/HnS0MdnFOH/lvvhmRzvga1Y3o72NSSJbpRKHOyzo/IG2Ha92Hs9NA+7w0znYQ/M0BzYHfYUMo2Gy2pdK76bPUR5RGUMkHePdwlF7DZzD3mR2LPCngRHOu53Upppauyp5Xfv98O+sgdqEH3zPron1RiRC/vA+c0mTxAzF5a2wjPtzSKKUJp9p7eF6L1rO6qs9Ol58HKu6MSzji/CTv+JWfj2uUF4Qpnm1kj9gft9iMZN9lT099ppKEwDbImi/kscGFu2+bDDzWPfnk60iZYs5IMpKiIie1v2S6pQSPalMUJMDdqN5j42tRS0w81+2PexuWjDHfGuqYwuYhLkkc3aG8YuMdtOEXu7j3ZDFd3gr7LSPC45yX6N9YL2t7YDzBH2tsYzyaOXhX7P85Co2PM3rRR2cXewUQ4XxqYdsE8FwzEGVI/EWOgYhTZZ+Meltr/9edk0K733X/D8PRejMdzAFqwQvOOaMSjn5i0ow70ZsKnTx6M9fm09bGGOE2P4MJr4/Dto96q9ex5s7/Z5KOujr0OfGX8vnjUkA/cfF6d5nQO2/e8d6JfnNCCvjw20eyQGp64r2ew7tyueH7HndUgexsjqCNoOe12iEfxtyKBPtoUxN+P5nohIuRv2gufEad1Q6HleznR0ZikxhTYQQf/mNQF7bes6kb/SJG8w54kZbjxHZI8UZvgfhnqOFL0Oc+hbFIrPFJnph48ioVAoFIrDC14YKRQfF7o4UigUCoVCoVAoFAo5BK2ugA7x84EwVpRilQs+RM6HjcPkpnPl4JXsAuMD/cmHjQWPlVKiTS0mt/q+DrgOjy6AG74hBFdjM9Hz2A2YTs9pDsGVym49pgkmu+dZsaohjPdFiXKzu71ODhcOfsu/fBut35h6ImI/pJpOLkY+9HtSCegj03JAGQl4QQOrioAOsj4MqgaXG9frDFJo2hZGHU3KQ5mt9oFSJGKnRXqIBjMvjEObJzv7SVcIEjWhJoFvdlIdTyqCutA0ByhSTIdJNcLk/i7ORINuy0DfYDqbiygfJxfgQOziZtRXOVFAy4g2KSISprZ3ThkEOLjlft2BOnggB/kb5IDLe4UPNIXpeRBLGE+dcqcHIg9MDxvoxQH3cNLh9y3UT5xEL5vkAZ2jiZSDfETVLM4jg5BiHKQllbrt7nqm2A6g760PEq0rC3aRaWVBNygBTGWsI2rVyDzYv90dsBXcl5gae4YXdSoi8qYf9dTPiXbRj6iyLzSBmsj2b2IRnlXsxHc3hkCB4QPlZR5Qm5me1xBEnbJqkIjIptBeSRVYRS+TKBKDXKC71EaofZFC40hShAwSvVXELsDDY9D2KOgysW5EBu4iO8rCLkzd201qczyGnpSP/v1aHci8fKhaRKSM6rXQjf9zE8Wrmigt3R10biVbzbSXVIPFPUaSsAvXDdNGlzRsstLZpOT4fivs8ijqJwGi2qxvrbLS7PVlCs2xBfY+s7gR7xueh/xxHzjag98XNGJ8bXGiDMtJPYxtGdOTqn0YK0+kcXYHCedsi9up0dz3+TtSjYGxA7bAdSrU+974LVHp30FfuLd4uu1vi8LIY8VkfO8r7yHtJcri01fBdtx3H9IldAqgLgO26b4NoNs9Mhzj/ytbMEbtz0T+lkxBew7utIvC/C4D9236M/orzxGbPBDa+J+jkY+zN+JZ8yagnsYuQ72OqO16TpIKsN3pT+NPJ80ZeP7NNDLuDyxExnP0/l4880te2KPtCTt9++oIzTP4dAmZkSXoDjZWEM+vjnFRv4pttdK5DrJr1Je2tYGjyEdfkgUZjinAnIbtHx8bSGKvdgv1HCkUCoVCoVAoFAqF6OJIoVAoFAqFQqFQKETkELQ6jj20yw9KwMFYICIizaRCwwpZHKy1jYLoZRPFYRK5wOJEY3AkqQgxtYdd3uxq/kHFVCu9Jg66A8cdmkj0Nzfl4/cGz7wtE27K3SFQY8Z44N6dnxQbwmuLOUEKYOSuZaWbLY2pi58jAvcj19fODnucFv4/VgrhYL1uoshsJspcdSfocDMKQJM7PY5vPXUg0vEo1twDv0A0lNfgRq84ibTwB02w5XXn46BQ/doQdTKGtvZ8O+Izzcobb6VzKLAcC62UCep7NSnd/TMMahPHr0k1uN1n0Z4EUydYJWm8F9RQjnfBcW9qKOjyRTmoFxG7x3sd9Qd+3+v07RxkkKliBU706X/VISDv20S55WdeVDLJSm8IIyYMU0xFROoCeIeDlHg4H/zco3JBf4wkPSuVKMs+4LJnxSsRkTRy0e+hOBNsC8NZ6GPdfQer2zEljOm4o/Jga1Y0It7IMeWVVrrR2AMnF7L6JsXiec8P+shxJaBLZFIb3B6APeIAg+fkg2azOYK2xgFhN7bCvnIslmS1zFRiKAVCZhWvbfQdg+meQDrKiqlRV1EwWRGRAoO+9XYQ9oXr7wvlx1jpoAHVJkC05TlZlVZ6ezrKqiaEMmRFz4E5aGszK4610vOakVcRkfVtVVb66lIEWL237l0rfVU5vumlDtQ9j80+Go+ZLno4sb4d7YRVbU+heGftpNLopRgqRRSrqJFU+ia7QbHbSTFUzi3BeOCjWG78tyIid5WAIvZyGmzhN6PoA/8TBhV1MKkxcvwXDvZ6igeUyiaKxzaP5gzcPyfnYk7SkbDHd9xB8ZMayJ6kGrs+UNI78bdru/x/VkS7Lm2k7f+Od6NM31uC731+KGxkwVdBZ5z7G3zHxf3xfRO3gnZ7URHmA386A/dHKVTk3w3G8GPSUC8nLOo6/p6ISF0n3rH9eNjY/TvQBk9uBK115DKM2UzJvGsrx5tDXb72E9D1RUQ8P3yr27x8GlR14J3cJjnQsy0uHakjcnvLycO46yG1x8oE0idHMWcTEZk0BPPK16ph7+fT8YCNFJ/wQif6w2CKe5hL7/s/F5Rv/5AG+tyaFtDwRtNRGT4iMo0COYuI1HYTUJtV7dj2fpRwtHqOFAqFQqFQKBQKhUIObDB3q6Q8vBi7WLzblE0iDBwrgOMFDczBYWyOWttG8W0Sxn4yakbpOCt9bAZ2b/5Qt8RK887YTAqAnJuJnZwdBjtxaxx4x9wgDovzbuDjDqyA98Xwt9l0z50O7HSLiAzJwMG0d4PYkdhFZcCr1UKKdbKmHjt9qcB3Bl8iIiLPtdp3ftqC2EX5csVxVtpLB3g30WFjjjDPB5J5N/kCBw7M31630EqfTIdMr4vjUOMOB3wYu9Lsu91jE/C4jQ1jhzVMfo9NTt7FQIWPmAiv3pRVaF+dMey+PZwFb8pbbuwKL43hb/nA9Io27BKKiLT67f/+NOC+VNeJHR6OA8XiE7ZYA+S14BhbbUmxovj/5lSgn7zZAe8DC5/cGseO0gNZyMfSEHZvcjOwg1uZifb8TP0KK31WKXb62uKoo5Mo9ouIyKoY2tp+ii/FXtwRTtgN9lQdWwyBkP0Ueb66FTv8qUB53tFd/u6mA/T5dIh8fTNsSjq5KjnmD4uxFGfDbszOx47Zkgh25HjHLC0pptoPyk6x0jWC/jRY0HZeCcMesWe/1uatQ32zB9+bju9cTbF+fumBx2QN2dp3Q9jBFRHZ3Ip3l5Jww/5Wuxfk02BKv9Ot9EYf3scxhVrC2NHmfnEWxSwSsYvKcFmPdqAdLvajPqZ6UVbjExQhPh1jxdQg0rWZKOcn0vCu1e1oN8Uuu/gH4ygX8rEzBC+ZzQNJNmxXO9oRH9Auc8OG885zIkn8KJRC4YzT+59ppRtjqI/t5OUZQUIIXhJt4XbY3bcuJC8gj7UsDiRiF1cJEYOCRUauyEa7OCOOcfNBEriYH0A7YC8/i1JNy4H3YIEPdpcPhPOB8mSPOsfqKiEBFvYadnTaBYw+LVYP+qKIiNyXhneXG8wRHvSvt91/SQ7iL/3yTNj0ba+iPDMz0AcWGHzHhDBsx3GXoJwv/A/KYUo6xAHWGtivM4nhs4tiIY2N2plGf4qDabS5Be157/HwnNfuQZ4epzHORf6Cmy9C/vLvWWWl3+8HdkRLEGV2VcJeL9ubVkmqUJoLjx3PDRgJEgobQrH4uH0yo4iFhS50wzNWLfZ52hfD+Ps1TtgLFvZaFsec5i3ykg4jxtQl2RjDH/HhHhYa+lYWPE0hGvoej6DvcdzH5O/wUP/Z5ce3MpOBYzc1UR9NxhHjOepuYXQkghdGRyp4YXQkoruFkeKTITkw8ZEGXhgpPhm6WxgdKehuYXSkghdGRyJ4YaT4ZOhuYXQkIjtJ0fNIBC+MjkR0tzBSfDLwwuhIBC+MUo0jZnGkUCgUCoVCoVAoFL2JjxRk8JDQALuRWbN/bGGllT6xGG7LaorhUZkNmtXKzu1W+hKiesWI3Tc/ahcTYI33VwOgOs2nA833J0AXuuBeeKGOu3mBlf5zHehCk4vg4hs0EnSTEcNAC3rhZezcMQ1vSScOl4qIbCcN9v50qJRjOBxO/LP5wCHCqQVwvbry7VW7I0r1kQXP3KZ27K6cWIAymUjeu4FxrKGPi8GlW1txspWuIDf8dzvgTj7FgTbxHtHW5hNNSURkCO2SbgmgPB0xfMfPO0Cn+uIm0NT85JXguCuzwnDdnukCXWqjH/ESOAZAvhMHf0VEWlPofCt3YAdzGB0Wf6cFGv98oLKS4sTs7UB/YypqkRtUTf4OEZHH6pZa6V+V4eDxOjqCuJliFT1Yg37y9X6g5C0kSlETHWhmF/7uMOqF7URTFtL9nXZv8EgXbMIyElxpi6LQOc5LNlFBj/GC2plqWl30g8PHybHMWoiqszeB+mBBE6YP13fCppxVDtrhXhLB2BiHCEMu7RozvescOlz+x9pFVnpgThJlMaPr+DZHUVyfzhi8TV6iFDG1ykdxM/gg9q1+9OlRFLPGTzTWIjc86uHDuEvPVCSOP8f271WyyRyvby2JhNQE7d7MCTmVVvqp2mVW+jRiNTxZg36VqDjBSm8kL9SfO0A1PL4QNrWDyvaf2aDmXG9AxxlDh/hXB+yURY4/kkfiEY/60QfOJcGIMAlGLG7abKU5VpCPDjeLiOxKIa2uLgoq2dZWfMt4igPVFMY943Lw7c/ULbfSs6icayj2WY4TdKjpFJev3kPxWzJgQ+b5YGtFRC704G82GvzNKoqH82Lde1b6pGK0rxaKF8M0p20u9O8TckDBXBTHu7kfnpyHPDTH7eIYK1owXp5YhLp/O8W0utL+B2zbtXWweXfEMe6W0Nh1bMS+n770RVBZ59B4y5TF68guXJ2ArV+ykYU2YC9eTkM55JMwzrw0tJUnr0dbmfS/a6z0FW4SjKg4Sq6aAgrn2/PxN19uwZGAAjfywfHHxj4N27trPGiXl9ZgLLghHd+25ueYk4iIeH6YOlod22tub7b5C5XzQCeJbhEdfpwT4y7jpVCVleY+OSR3ou2+NQn8X1E6xqz/c2PM+m0/iMUwJfnBdtQTz6eZSv9IBHNrPrJjaH3AIkgseiZiPw7iIkqsk37n8REzlw9DPUeKXscQpY8oFAqFQqFIEXhhpFB8XOjiSKFQKBQKhUKhUCjkELS6EMWzcBNto4CUMPYEulY4G54L6kUHKVjlOsk9mIB7mV3K7zfZVcImk1JVXOCOY+Wa9WlwsU8qxrtXtOHA1pgC0HF+RopqoXZ8Q3Qdvpldce0JfEM8SWWP3XfDiBaxrAUUQlblSTUOUlh8VJ6DM+2UvtYMlPtyf9du+Y1E49iRgTI52wMFnlfSoDbztTCeudQJqsvUfFAAlnfgXd/OB+WjNA437O877XGjZubh0Of9Ne9Y6W/0A42vzSAfrJrSFgYty0969js8oDkNygYlaVMbaCTfLgV9Q0Tkz81rJFXgGCxHedB/mDJ6Sgmofw6KA9AYhOuYY2oUOuFGZ1exiF3L/74AVJ2CROl4hhSU/lZ6mpX+YycoIJM9iC/AGOvGN6wKoAz5vb9zo77vjoPKKCIynKgabFsqiXLItJKmGOq1M8NOyUwlktXhDiKLKLxpEqc07me70BlFOe8gFcjJ2Yiv0ZCAzWM629H5uGd7GMo8A0gB9HKvXXXt/tb3rTTTLtpIGeuiAtBEFpPCJuuVDcgEVXMz/c5x69aSchbb8yZqT5V5sIMiH01f+LgIUuwafr+ffq/wglZyOlGuFpHtu9Njp8HcHQOl48+lp1rpHzWCzsiqnE8T9e7b/SCWcW8+2vB346i/8URpuaABf3s2UScHpeF73grbVddWOfGste1VVjoQQdthNUqm0p1fCnrM4nYoNOU77FTiVIJVKHmM3NYOyuNAL9p0eRr6Ncdze5LK+W6ql5m5aJNRasT3RfD8rTHY3WHZ9jbJOnEzSKX2J34ocU4qwtiXRzSiPCq3lhAodkxT7/Dg2+YUwBZmkc24pwnfNj6v0pa/CQWk3EUUyVTjm9UHvuu3FCPwmigoTbcRpWvm9Xbb+4d7YOfme5Hf9Z0QZJk6APXxs9WwBL/aDYW0ZwtQhhe2YKwen0HKt1H8nqghlUkqz++/8k0rfcZZv7Hl9dXZsIt//ifGuy8Pwbwn7IedXwKRUXmxHuPd/wns9pk+0C7XPozvSTVCcZQz04RbKDYjj108H1gVxoeMIhXOTRGU4Q4f+kllDsr8yU7EShMR+bIHtMUXg6BI3mZALz8nhrn4ShrbWeWV3xcwmHO3EK2eYwXyt/E6Ixi1CxONI8ou25kSohxyfMGPgnqOFAqFQqFQKBQKhUJ0caRQKBQKhUKhUCgUInIIWt0OUvwpouCFWaQiwWpBjPWtVVaaFbamFIM6xEHtxhBNZ5fLTglb2QR62jnloAcwjeXMfIpZ4YT7uzkD7rinPKCMlI6DIt7qRaBBpBPJ5HtBuNc54CZTK0REziXa2YsdoDK4s+BSjCUFe0sl8p0HymtTB6hLpfn2MhxGsZkWEs3qPKJbbCPFpcFOUBbiVCYzE6Dp/E8c9IxhCZShn+h9m78LitwxfwNda38A7vU3cifb8vpNCraXT0oyyyjg5NY2pNmtzgG+WNGrld21IbhrPVmgCexKHL7YUM2doA1MIYWi4uKxVro6Cvoct5dgDHQhRoCUpr6eO872f6cJKKQcIPndbLSLGYV4X8lgtB33VrjOj3ND0euGTtAujk0DLe6bGbg/kIt7/pGB/v0tA6qYiMjrFNyvhaiQR3tAP51cCJoCB4VkdbxUoyN8oEzLkuL0MFVteC4oBEzzdZC7ntshK+08X4/Atgym7XGAVg4QWuSA/VqfQPmJ2GlvnJ7oApWIg0QznSqDKAt+ou/MKYCiGtuAvYGu4wMxla7YYY8Fl7pwynbKSKkb9bSuA7Q4jvO2gwRfuO8XZNpt8pkutNEpgvu+XAb7tD8OGsuuCRgHbmtE+RTno638oRllMqt9k5W+tWSKlT42BFrJIy701UqvXVnq2Cx8x5/y0RY4UOnOONoFU9bmt+DdHBskmSKeSvCzI6ReOL4Q1Jc1zbD1f/FhTD69BHYxQrbwhmbQrC8uRftc1gk6W04maD0cFDKaTIenceOuOPLhzMD8pojp6D7cM9JLgeP9sHMc/PlqB+YFfw9iDjOU1Lm4fydsBFeRDW1oz6Pzu6Y3pwJvNx5QO/wVBfP+WhraFMd1HPu71ba/vYds/0kBULAOzklERNaPQR9o/voFVvrsX0NlcVUE9ywYi3Ft7QaMJ1dR8Pb0EaCiLr8UbeulMx6y0iuTgrqf8gTGFnc6+nf5dvx+TSfs844voT7+uBj5+24c+bipGFR/T7GdOp5KsCpdmkG75Xhy0ThsdyMpy65vqbLS69JAK3ZQO+c5FNNhk+n6HF+vPAtt9z1SpVtIKqeshDomB/aVg7IGE10rm9qCcueh/Yfp/q3tdkVPViAty8Zc1U9KsoGofezsDuo5UigUCoVCoVAoFAo5hOeoOBsrw+xM7MDwAcSBOdiF2kdxaPjQ1Amk0V8TwW61L4odtlIPns+HN0VEPA6sMhe3YHfi+8XQUy+/DvlIK8IKda5gJfmN8/HcrGtutdK1U++x0rfH4A3h1e0s0m5fkiRoUEGHmAe6kI8gHTRb3bRTDhdG05Z9cQAAIABJREFUfbDbzoc2WexCRMRHK/4LynAQmcUZGugA3CAHDjT/q229lZ6Qg79tJI354iyUQT8qj5H3UAyOXHgNN9HO8o3SIiubsbP2xTIcXq11YAf4i5nYrXswBzusBVnYBb88E3UfprP1SwwOcx5Nu+lhOpZ7YprdW/CipA7D8rE7xTuYi6g9TyvETvSCZuz0zi4/3kqfGkE/KaSdIlfQfmA3RPseI8/HrsnEO/5opY0P/XXD9DusdB61+8dC2H1xpqEu3k2gX/22HZ7Ir1BeL4hjh/TOEL5HRMRD8STYVrB4Ae8896M4SYcz0n3xBx7yuElIDsXYaDX49roQ2lKeAzukwTjaJO8gjyKv+Kxs1PHLEex27wuiLr6cj13Rf9QssdLX9IO3QURkHcX3ilDf95NH8Y0w+uiXC7Az7KHD118lMZwro3hmsRN1xDuLlR54NHJoZ55FAnjHMNWo7sROvZ/ECDh+z4TcSit9bhra4W4H4hz1z7KzHobGiFkwFDuvU3fhuUsonNhTDWgfF4ZQ/pn5aLeXhCA2wzun/jSUT5jK9qQEnlmVbj/8fvvV+Pe+R2Grf3sM0qUvwI4uIzv/OLEbVkRRfu3xrpkfqcDODniC2IvPv08vBbNgdTvGolz69rfbYCOfzEUMtr/E0Va91A7XteA53ymHUMbamN3j/HA7PKnsnWd7tKgZTBCeD5xNXtJZxUhvyEQ7GBfEmPslN7zgvPteSB7cSJLoAov18DelGp6sA2X3xPl4309fgY1lz/eLuXZhqS+2o3zCMfzNkqPR56a8RHGBXkGd7Q6iLzZ4YSPP2YR8vLfwWis9cMZtVjrjlPOt9MSbF1vpb2Zj3vLL0qnSloZnPecHc+WRbOSvPox7fpKP2Jvr5sG2PBRBWzkpB3XJ3oWFmwbI4YKbRIg6KbYcCyBx+8zxoj+cWYbx5LgMlA8jLwEbdEwYfWHS6Y22+5zfOtNKr5g930pP/gW8wdFV8NitfgPvu47GO7bVGzrw+yU0Ri1zwE7sp/GRY+h9lBBVsRPrl/1+/H1/L+bou4JV0h3Uc6TodfDCSKE4EsALoyMRvDBSKBQKhR28MFIoPi50caRQKBQKhUKhUCgUIpImIt3yH/oXwOWdTW7rLDoctqeD4hzRo/hQ4wVFcJWtJ231CB3cYt3z5MOHg7NAd9oQhKvtUaJQTVr3Bysd+zdocsfcBJfr6odn4aF1OMi15CYcpLstE+63bDqY9kXBIefcpDOsvwqDMlTfCcpNOh0o4wN1rf5UHk8WcbkOlNdgoi4c47a7v19sRMyefh58y49doLrd2PKulR6Vh7KtCWGXmt2733Xjb/tToIl2EsFoJhrK/jTU96/PRjnNnGsv0GGZqO8/zgAtKKMcv4+4F2V+ft5oK10VpzhHRC0syMAh3f1E7dxAhxUdmWizIiKdwT2SKowrAy2TYxi1ErWU+9VQOkQeI3rZ5Qm4hEdS7K1/O+1U1P+5Dt9b8zCEVZrbQANbQt6R/8TRr3Kpr3P8nWdHoP7u3o329VYUf7umBQcz8ygGTZkLtDgR+8HJXIp/wJSBY4gaxWXA8VtCIbjkU4EC7wH60UCKUSJit1VNYdCYKtygDeTR4e0SijNWTzGaBmWCTvpSI6gaA8jVzwdifUSRm+4daqVvyrbHwJlSg3I4PQ/UPR/FA1vRDmrveWTbSwTv221AsxonoPyUEu3i134cyj4mp9JKbw0inkYk6ZDt3pb1kiqc2O9UK10VADWHqd8cF+T4HJRbbQzlNskBeykisiKC/I+meCAsCPCFKMrklSz03SBRoh4+CfWdNQz1mnHx16x0+49Bb/0L9aURUexXTnbBRoqIxBP4v1cToIxMJErfrzIxvk7Iwrt3kFDDslZ46iPxJDpuCvvTsGIIJgwigR83CTptI2oVi9A0E3WfhSmmk2jG1DDs6O2GKHlk6/ldoaQ26aL/20l03muyMZ7sTcffPNqEw/pMIXsjH/Hx/uJEf2ObdaZBfT1CMd+YFrS30y50wu25LUKCQr5tkkq0X3GGiIisfBk2OkL75jelY670rwrkSURk8360sT85MK5m0nddEoeNvLYF87ET6bjF9Az0xSaaJ9QY2D+O43hrFBTYl1yoRxfl+9pBGPdERJZuAy0/m+rmeTfa3eV4nfzNhTr+TQ79B2F/E+z535z29vX03v90+TefBDnZoK1xDL1+FM+tPQLbHSKa6FkktHF3Ac2JRqOcO3ag3Er+fIWVTqNjMyIi6f0gJhW8+RorXbcI48O+FpSJj+Y614Ux3vF4OikX9pm9NaU0ntYR/beV0jOz7FTGfxF1L0BjQH0QtpRFULY3rZLuoJ4jhUKhUCgUCoVCoRBdHCkUCoVCoVAoFAqFiBxCrS6P6C61nS1WmtUiWJXolGLQOdJJgYdjZKwh1TaOncQ0vIFZdtWwFf4q3EeUk9oEXLyxt/+flf7O7aBDPU1KUeIHHWb/H0HzeMUNd/J7NVDGuZbUoRaTWtXQDPth7co0ok6QO7ma4h8Mo9goqabVHURJVm63/zezBApwz9UhftM72YiHM60INLlJ6aiDzVQfvyI1nkUUfufHEZTnDdkUg0BAj1jYCrWYDXPxXpPE7Hy4BvS+4W+eZqWvmw03Kbe7VWHQYVj1i1WHrs+HctOfgyh/JykjRg6jChrHZZpaAtrGWorzcTbF8GIqz7djoKTcnU5KT07QTdbG7RSc6XeBUlAbQt/NJ2W/cxxw1T/VH2VliK5XeDnc6KYZ77g2RGVeC9d+KA+Ngt+bHE+FaSmT8kGVGUNUrvkxvINj8bDSzZoU0+oOxm3bGrXHT2D1uVIX+sOWVlBkvlQOGtFL9aCecTvc5UYf5fbWEAQlZVI+aAb9HXjXGz7YpvPCoEqIiHgyYWvmtYFy2krxfjhG3A6KqbWKaAqBGPrYWS600z2ZqL/puaDDvFAPWoLXAXs8MNtOS0xlLWWnEY2Gxg2ON8OxdC6Nocyfz0I7ajR2Rc+xRKXbGIEdYZu+g8bEGop59GA+KLHO74C+nV4OZauLzwb1Oz8NffqmTIxLZWNQXxle+97l+oX4m90UD2mnG+3riwbjzHFBtK8L/aBiDfKiLQ9x2mkzL1enrqb2EuU+My2jy3uY/tjfjbwwhTRG/edeUm98LQ9jey7FNvLSHIFjpdQSnVpEZAhRl7/kRZt+PASbXOUH7Y/bmpvGjZddmEZNNPj9gQCUWhcS5clPilolpAick2WfV7BN6C6eZCrw7OsHxpG/pldZvzG1ujWIdj5mi52q9qNSjEEPlaFNFl0PlcDjfjTPSg/PQ/tksPrpRYJ2cCHNMaa+d4uVXnnK76x0LfXjuUTfdRoop4qIZDkpPlAMfWtaBPU3rBLHO37tQ10GO1H39ycwRjU68e7lgdSORYxsisfIlLlaP8ZYbuszyzHfuTwMmxUnNdJIA2x68dWYHxpqnw1X3GnLxzs1UGa8mY7IZNNxi+FOlFVVBPmblAObvLET7SiYwPfURWALi7NxvGZUBvWTDKLoJx0Kao5gvuknij5jT0d9l78nQz1HCoVCoVAoFAqFQiG6OFIoFAqFQqFQKBQKETmEWp3TObC7/7JQ5gHtoz4AN/BFFIDuHT+odBnkXq+gwI7nZMJF/nTITjtzkqrM+mao0pxPNJbvh+EGnhl430p/hRRzbimBi6+9GW7471IgwXZSh2K1C1YS4wCpIiLzG+DKZbpXgRvuV6YN7m9F0MxUYEjRAboMK+UxjU/E7mI8yVNppbeRm/V4B1ym/2yFut3zbtDkZpJS1YR8PGcZxSpiFZpdpEa0YRbcpD99ERSCzTE7JSxAbtbVTWgL7Xd/2Ur/+n9BoflDzUIr/UTRqVZ6Hrm8d8fgbuXnsxJfZrqdZbq7eY2kCidUTLfSTFlwUH9gFb2JFKi2iVR6cohS1C8Nz5nbaQ8y/Mc00FJaM/Bd6dTdZ/6C2jEFfut8FfSt19bDBqynYMxzg+iHBaTMFqC87g3A7X5hoZ0GtpdUBTf4QUdghSZfBGpgY3PQdhY3gjYWjdhpHp8WGVkH+k2RO8f2ey4Fe91HAeVOLQb1rH8G7nmk5j0rPbIANMCiTNiEnZ2gDTJV+dQC0JMXt4EO1T8bdJPr0ytt+bs7UYX7iAZbng4710bKdcVpoEFwkOc5+aDe7Se6Si6pDjlpT+1ZH6hDTNkMxOzqTlUt6yRVYOWmITnoJw7qvxy0NkT9PYPy/ni2XUGx3zjQh9zXk7JpLWjaj/4c6SlZ6K/vRFDmHmKQbnOgv50cRP+Zeg1FqE4QpTWKdhBYag9aOmMT6uN0N2jJTA9c3AF7GU8gIxysOJ/666ome4y5WLRGUgWPu9JKs5IqY1sr6KuTSzBuNBE9ppyopX5Sz1xPSqO5pIx5fSHoVA/70bbbwrAnIiJXF+O+tXGimbbzfAXtpZnoZU5SNj2tGMqPbzfBNp1bgnGTVXaZRl5KVPg8UtkTEVnUAlVOB9nwVKvV7T/pVBER+WY1bO+z56Ct/vUN1N33LrGrZBb+BbTa44pRf6wS2BjF33Af/ZFgbPnSt9DuT3sQc4a5KFq5aivKykPj4ItNGKf/P3vvHV91eb6P38nZI3sSVpC9EQFBBAfqx1VrP7Zaq9Xa2lpbx6e1aK2dbu1PabWt++uedaIWBRGQKXvPQAIBspOT5KzknJP374/I+7reMSw9ECz39Xrl9Xo4nPG8n3E/477u6x5ASWr/kWKl9g7/BcbIokfxe5l22IfZNDeeCqEvR/pgw2+L4Rkub8U6GIpZbV510xZJFvapqIqIpDkxTsJEg+b5/q0cjL3riD0cakPdm2nvsdOJcb6Ukr0PEbSHiMjeFLTbzU6875MI9hLlNoydf1RjHYyRMmZxOux2aSPmRq900DT9tBc42w17t8PAPJ5kWENJflcDNcTiNHxXQyvGICt0HijERT1HCoVCoVAoFAqFQiEHEWTgAK9CL25v6qI4hdVGcMMzmQLN36mG94YDdfk0ONiB02aC/FfsKRIR2RRA0PPDBQjQZ5/XI27Uo38qvCZ8y1lVYb0N3oc1gTKzzMGSnPeGbzzSOtzwnJ4/zCwva+j8JMq3TsnGni9ust0UJDrWbfUcvVwFEYZKD25UfiW4EflVAH02wI8bmPttOKlnudGG707CDcGzCyeZ5WlB6NnPL8bpPVaONni1Ft4JEZFYG75rYg5uzk/KhSDAv+6Fl+dvNQvNctPrN5rltlW4Rfqf7fAUnjcXgyWPbu8Tbty2DO+Q9ySZnqOEtHX6+pxaeBEHU26pl/YuMctFaQjEjlM7+SgI+SY32kxE5IkU3IRynh2e0/f9BYHHp7vhmSkwMCZOpFuWOkH5iRS85xES6Xi3CreanK9sUcQarFrfgrGQ7cKYGuGGB3l+AnNpUR1u4TLcuM2qpYDdZKKjgAT/m4Oxg+SVeK8J7cn5Jzhv0aYgbspZLIH8CLKtBR6DerIbUfIuVeQUW+r3QwP//lTQ9x8EML7qyW77HLDDfBP5WjPeP9ALGxKlZ+D6cf47zutWHUFgbbLRNw1jhOcVexIm5A40y+x9vrYIgeJ9HwKrQETEPulSs7xl3E1muTGMZ7y7FXaLRYf6ezEOtkThfemfirpGSXBgch7mdPVTGNtPBWCb341YA4qvd8IWJmh4VqTgfa87YQf+4sD48pDnbzbZnNMKsHaJiMzenTzPEefTY0GnHDdue+3kEVleA9txWTfkDnq3BmyFARlYly7uBnbKexXwYPCNL4tKDfJac/9VCfqMA75LXahfjHIjhey4gr8xf4JZ/n8NWDcZ71YgL9KEPPTLUmJZDCnA+JhZY80F5qMg/DwSgaltkqRi6Y72OlxHr61+H899VR+MiQ9fJoErEbERo+aVArT8rcTMGe/GOLifWB7jBuA9972I9wx1Yp7EQhg3L10Pm/qbJ7BPuz33FLP8SQJshTskKO/fBo9Lxi3IOxT40xSzPObv8P7ck8D7v00iHdvbMJcGX4Dy7TPg2trkt+YMm5ZEzxEzj+w0lzOdeL28GWyaUhLcmebEfuesBNr8X3GsV1VNYO8M8MHuX5awioQIiS18GEV/jGjFeJnnhj1iz34ZCSG00LrJ1LXBXoyvRvIS/23vZ2b5O93GmOVtqdYNQDqtZZyPsLkF44XFLQ4E9Rwpuhx8MFIoFAqFQqH4OuCDkUJxuNDDkUKhUCgUCoVCoVDIQWh1nJ+DA78GEf1nQwABqkvqt9J7QLvZEUTgMec2eq8BbuQsJ6g1e0LWQFQORnzbgGsuTlSXzU2gq0RicLVdl41ArpftoEGsiuM37s8cb5Z/WT0H308eDXbFradnFhHp5oN7sdCL8vZGuKN7pIEuUZrk3Cz7+onpCrEOOhucg+qGGFzY89x4xiIDr9dQQKzDhTP0rzxwI+/+nAKSUyiA1o02yDkTtAbbcORRkllv4vtTrTkwGhNwgdbH4ML+3xy4zK/7XwQcpvYHvSI+C25713fONMu9FoDisLgZAbdMEd3ttI67ZMJNAaStBtzvE3JA/wmSAMjkfLRzSQTzp5lonxxg/H+NGLci1gDl3j7QBQe7UHY40K+nR9EH5U7MkyUevH67H673wmsxnk98Cr97QiHolZvb0LZ74lYuSNQON3wkgfkaIEGHQBTPN5mEDxwUJP1hkoOT94moFLitwfq7ghh7QzJAF2QBin5+0BE2NmKOu2ygpGUSxeGyLIgfzI3AplgovNSPLNrwXoc8TNWUHyLehvHFuVP480yBYzs/zA/bnkdiDssj+L3tFEBb5IfNaCYxAWcHcZNkZmkJkE3YS7SbQh/6LEpz7J5uoGKPiOD1tpVWOlTlvcjHsikCOsgCspGV9ZgDp+bDnqWnYn34JBfjY0UQtrCWqHC3/BXj6WaixrxCtMaO1M5nUkD/YRvyawfodq+60QfdKJh6F82/YZlYE9c1WdeyI4Wh6b06fb3WhnGb54dNObkN43ZdOqg2FRH0N+cgyidhqE0S6vT9bGdERLr7IOxxUQRz4Go36Hc/aMEafjNR6XYYGNGLeqI97w9iDX6jFuNrmAPzZIcX9Z4fAPVqdBZEdEREHBQwX0vU6GTj9Cnt68uNC9CGD/UDhX3xBrSHu8O+Yu+FaMOWKozJleUIhbid6IzziF54eT1oU3P/gPa55n58NuNc2NTBf0V7vu1F/rBPyb7yHrT5bWses8Z7/kc6w502zJ9PXJg/50Rhwy4W2MK98zAv8+Io9+yQJnFap7/21WBLxZrHYje8b86nnFnNREkb48C8+mMz9kEFlN9zQjq8bA2U5/BfDswfEZGyMPZInKOMKf7nkRjUIhJCaKH8TJy3K5No8osa0H+872fa+dIg7CCH9YhY6Yf8eW6/Q4V6jhQKhUKhUCgUCoVC9HCkUCgUCoVCoVAoFCJyEFpddz9UQ1hdgql0WW7QRHKccClvbUL+kW/nnWiW366CqkyCaGu5LrgEW+NW/+SIPMprYcf7Xq783Cyz4hLnVCi3EzVQ8HtZRBl5OQGaCH9Prge/5SHX7bZWq6IP/x8r7bEiVCRudfEmE5d/oezjprPuqzUrLO/p5Ueb3JkK2sGeBrhJM4jy09gKN77PBsrIbwKgrf25ALl7MkkxaarARW6/DPlCjL2gs7WRe/6nlG9CRGRSFE7U0y8E/cR5Buhz9rOvwgeI8piaD2rA4l8it8oZ9Gy7SDWqOgxaxxA/qKAiIpWNmyRZWFoHd3GuB/OE6UdMk4uQC5rdw5xHi+fJr4smW37vNEq5MN0NusOYONqKSTttKfjeM1LRJiVRuO1rW+H+Nl6BMs5V3VHX9duhTjitEaqFTOsUEQmk4Fn7uuH2txOVhN3wS8jdHj+CAh77aGisdCNizZlQEsT85/xHN3tBhXzci+fbFoAt9JFy514vOmmagJrzDuXG2Wrgs8Mpr9gEykkmIvIc0YpHZcJebmwGRYVpt8OJ6rI+jOfZ3Qra2MIgKD9Mfc0gqh/bO6ZD8zhNNhpbQclgRcTtzbDjlrWIbFPCjfa/7SmoNYmITHKDUtiLqKXvUzuwQtrFMfzGbmIGtxLF8Tu/xu+lFBeb5Xt+gxwqgSCNCaIJct4SEZHMbNiwE1yYM3eHQE9nGuXeMKhRTGPx0xo3IM2q4JbM3Cxs22xE4yyPEtWN5ngG1f2zVNBxhhAVmJUffVQeZgd98VqyLXlEXX28AgqnIiJBykvjzRxulvdQuwdoHWz0wu6MN9AXDwYxBwoE5XuyQMNzkJDZGS7kfHswBfMzkLCST5tj+PeRVH90ntROUft8JlQB/6+Ecly60E5XRa1KXzcuRbsvj+BZZuRhjS26Frbz6Sdhp5qaMX9W/QVzd68Nff/002jnxQMx5j35sFP+TRhDd9Ca2HORNfff6C0Yg6/moZ/OHIPP370Mn48RvfLuYqx31+zAOB3jxneeFT1y6xLbAp4zHhvR0Gn/EIzB5n1MFFwWv9oSQF/8IxN7n18YeNaaKEInRER+mgWFz3VtoLStCJaZ5ZcpRyar456YC+peC6lAcj36ZYBGyetJN1J/DdGzscKviMjaelDuhmZhTbWlWJ9jHxo6fbUd6jlSKBQKhUKhUCgUCjmI52h/QbsDSWyBM88G4zjRnZmL/AnsLcolQYaz0xGM7hFcvZ3hLZY36nH6zKXM82/WICivgHIv1VBglsuHW4G/1yJfzDk5qFOgDXV10+0nB7LvbELg5EWFODFXu6yn0LoW/HZVCP+XRwFysTarBn4y8fIXOXEKKCi1X7o1z1HcwI1BaTMC/O/LghjFWhtuJAq9dBuWwDi4y4sbrLPiuKnIT0Ef9R2JG6TEx++Y5f/3BOrTPw31m9tiDS4faustnSFlKHJfxLcg8/Jfr55tloMUufevZuR2clPOqgmZyF/AWN+cXKEMBgeLc74NztOyshU32ZwbjG99nRRwmO2BV+fvlQssv5dLXr1KEka4pQFzkb2+nDvhPBcCVLuTGMcQF+ZMSR2e54d7cOP4O8pDwp7n0ihuo0Sst6JuDwKu4+RR9FIbZLtQ196Up2venuQGlNu+EHtIc3iltBHzxJJnooOAyD4Eyfs23osbrWwH6s65cX4SxZxxpcA+NNNcvSIXnopfe/n2uEH+EsLnL6SM6G9Wd+6dZy/X8mbcsHFei7lV681y/0z0ZQl5v9jz0BSDDQjHrN5xzruWTPBaxMIELJqzhwKHy8MYe0UeeLU7Yk6kzCyfSLfG3/PD6zk9jNvoFA/68g8pmMf9n0Dgd8Nf3jLLK3agrd4XjNvzBO1/fz7m7aNhiDOIiDRSW28hcQ0W/OjmwBrg8mPMlrTBO8ieVxYOSTZYUCLM+YIooHxUNoK3mU3wfhVsyq8KTzXLq+IYh6spr9iJhchfVTQE6/E162C/rik4SQb+EjfQdW/i2X9dDdtWzjlivFj3t5Ez9H26Xd8Txv3zCA/6splygN3RF56RqdthF7fW4nk6ChMxk6MjmyaZeOOh9v6Y0w97s5O3IBfTWD880c+7rR7hVRHUf9kP4M3e9hbaffgdM83ymmKImJxH4iM/yoade2cw5vSc1fi9eyrQbn89D2O7e3d4Iht8VhbK+pcxRyfXLTXL/qEQdPCchvVuQXfsRf7yEdbEb5Puz6zv4tleexvff7sNntpkg/dvoVaM1Sh5kUbnwDPDNrLIgX5lG8Je4769UfcX98DTt8BplUMnEooYdvLO27FvHky5jT5vgr3kfHO8hnSjvdHZnmKzvMEJW7a2GfbyBD/2C1UtVt8PC1ntbsG4YCErFk07EI5JzxEfjBQKheJogw9GxyL4YHQs4kgdjBSKrwo+GCn++8EHI4XicHFMHo4UCoVCoVAoFAqF4mjjgLS68ma4jodkIfC1jnLgeMl1XERusFUUoDWA6BlRogOMaoNr7ROBK/ukDLg8RUSWNMLFyzmWTnQiUHNWKlx27M7v6QMFZ3UYLtM+FAS+PYKgf6YwDaAgta0taIuO9BGm4jHlhmmJWS5QoOrAckoK+mS0uzGZBtiR+jPaB6qaLwN99lgM1IQiAQ3wkla4TH8QRWA9a+P/nfJGVbahfbqvhNtzWD3oHA9TgPDq8+Ei/818643euT3gqndeeblZfvHbyI1UFIOb+c6Gz8wy0zZ5HHwrGwG324k2wRST72UhUFZE5J9JDE5mumUvGnubKGD+fKrj6ijabSLRALdGMVY5qDHXjb4TEXmwARSCIWmYM919aHeme33HBjrIn6pB0bstD3SVn4fhwh/hgdv+FKLhbUzF3LjED9rs+2FrcOxuymHUlIbPzKsG1eLsAlDFthMtL9uG+ZZs7Gpub1+maIlY6XCcW6K0CR6mR2Kgs/H84/JtXjzTqBPQx2WlmAObY6CEffq/6KMUEhOofp0UN0TER9Tgs/KGS2cwiLa0sB5jOycNdnhsHsZaLdn5YdnFZnl3pPN8YN3TQFlzUn1EREqIsvZ1kU3CElUR0CrG0rrB4+X/3KDF/Zvy5HEuEBGRYif6II1opvVCgiYeq2jLPhT0wfw2NsBehgPwoF0Txvj4CdGIzqiYb5bfykKesEFe2FERkZwU9P/KKGwk5506vxBtsIjyxXEgtseBOnWkGa4Nl0qywIIQbqKlcl1slLOskfJXMd3OQXOvnxtr/k0u2JcZbWj/s1fi+wsdsJHXT7P29yw3bOG34qjffBfaZziJ03xK+xUf5a3jMbG2BfZglAvPsHw9+jITX2OhSHVEkRd9M5Fyas3bs7ezt39l3B5qD1Uo3wvhrAlpsHEDiDL/WQzzR0Tkl9QHc19Du59+MeblXf/BmH4+gjV541iMz+u2oe8jtZh7v2mF2MhtdtjO4Bysm/8m8YgxJGrx21RrDpyyk7BOVZbArlasxW9f3QKq5ZtEO59hoK79X0AbMO3yzwms6yIi50jyEE+gbR0k0DSUBGnGOjA3VtEaUkU5sni+MaX/XxVY/8OpeP1uVm+VAAAgAElEQVS2XtaQB7sPa4jNi3n53WUY30sTGDsfk0jEGQVYlzgf1e5m1HW1BzajohVzOt+Ns0VJc+cUYRGRheHNZtlD7IUI7dlrIp2LM3SEeo4UCoVCoVAoFAqFQvRwpFAoFAqFQqFQKBQichBa3UCilTWTwszeZri+PEQ/YZe3i3IQsI55pgsu2kVeuPvq43CHdrPDnSkiMiYd7ukpKXA155KAyyDKMfIcqX5lkIoG5ydZS2pZrQnQJlykara5Aa5bVoJjlS8RkQwHnonpN/kuUtuoTx5doSNGf6GMVUWqOX67x/KelSGoffDz2lJxPuZ+OqUArvBz3EPMMith5eR0rsL1ghsuzOnrSBWLlMw+m0W5K9zWfB5PlMPFe/kvoXY3k1SZptdCtXBSPuq3K4qx+YwLOS6ua4J7nttmTC5c7Y/vtSq+JRNtRPFb1YDx2Tcd7mjOE7E7CFezg3L//NoJ2tN6O/qxVaxteM94UHBWL8GcecULWmSU6rQ9hfIqUX6Se6tA+eFnuDUTClK3p0AVpppyYpWGQDFpiGKui1hV9/ZQbp0JeaBALWsEFW8wUQPXhUEpSjb2qdKxHRCxUjRZVSqHFAPTyQ40kz37tQ90kEv6oo+bq9BH17aBzvF2Gug+7j//wyw3XnGNWa5PWFWjauKoX5EDFMvuqbB/AQMGk+nJu+KgDq2oBYW5ux/jZl1jmVk+IQNjNocohmsbMNdHZEHhSkSkRJKHyjDGG1MW9xBdtsCJNpifirFXSfliOIeNiMgpLtidQQn0v5+m1kIHbFuBwB7dtAPzKvF30G5m1IC+yDk5QjRfr++GufRYG+r3Wa01z9r9OaC4ziHVKV6PAkQBXFmHVuecH6ze19+FsSYislaSh75pGCdbGrG2sNpteQR1KfZgTeCcP1UC23S2oJ2v+Qfm1U8GQsm09pq/mGW7C9/zvW1WOvx9UXzXsLNhb+vmod7/G8KYZpW9WlLHvZnU9PxuPNu1/THXW4MYp/+pAP2qJ831uqiVb7+xHjahoz1KJvbRbX8+AH105WbYjRt641nfL7HSAH/8Y/TNX17EM/b4D9aBLJo/l3fHmnD1VvzGaamYr+t2wY5uugcKw9n/h73AZAf6/jQ75ozDA5rVEx2ovRnfwv5j6D3IeTUzA3Sv9x1YX512jJf/14rPXmrDOKik0AK7ccDt9NcCU4lro3je1XXYS+QVwA6cbYdi3GrBuNpOOT1X1WJ97VGI9v+gEnurGWGr6vF3vdgv9Uhg78jhGbYU7MFYGc7JOQwpvMZGNnx7GOOjnvYM/Ul9mSnvHUNcWKWZ1+xdBsIROAwmADP6JajnSKFQKBQKhUKhUChED0cKhUKhUCgUCoVCISIHodVtb4ILjlUhBmdDIcObChfXMkr4lOuCmy7XA5cgU83mNYJywN8fIEU0ERE7ueMuTIcbc3EILrswJWDcG4FbryEC1xxTYLx2UFomZeB5HHRe3OmD+zLLBirWZ3VWukMoBlez1472sKjmpYEysKMuubSgD2va1ZFYjWqAK9/ynnmk4jE6EzTFk22gzsxyo1494mjndFIH65sPCsF7LWVmeeEdUHpbejeoEm+S+/QSJ6gdP29CLqvL3XCRi4g8Ug+ltXtIPTCXkuqenY/P/CiGMZVqJ8UYSoTWmygbNaTC1YeSJvbsNsZSjzd3TZdkoUca6hWmZMmRBGgJrKAYZBorjeeHXHj/XQlQAK6lhLciIuOWTzDLqzzogzSa8tsT+N5FtRgfVxSCopIroCbUC75ndC+4v68qw3haIOTyp74bkwN3vIjIaqIW9nBhHq9rAv2zpxftsYPc7UxpSTZy3O02ItNhpc5ystF6SnzNdovpXr/IRTLCJhqHD5XC7X82KTeN9+L3ih9HEtHYM3eZ5YqtsKPhBGgCIiJ5Dti204l69GwENLl+LrSnl9S2NgZBp+H8RKwsel4hlKxYPbSYFL/yPZifTKlMNhJtaLd9/SUi0p3m8jlEv96cAurFrUSb+bcb/SUi8lwN5tBZlMR8UTOel9We7vShTW4aCmroU5tBn5tL7ZlGyq7NRH+zESW5hJRTi9OQjFFEZF4qxh3TUs7PQl0Xh0HFOovUHvdHUV0ZAvUr2djaiPUk3Yk1ZEMD5jjTIpmW+gtKPjmBklinp2Pux/6D5N+eid81y9lTzzLLbatBFPzoOxgfIiIpxbBbLW98ZJZXp8L2cvLNugjq0Zv65vax2Ce9sRi0usoSzNdXDIzTz1sx30b5sPeYEYLKoYiV8s1012Tj5ox25cQNazFPHERHTLXDfl3psioJv/MMyn+4lGz/a9gHvenAOtNnB+zF37LQnn+JgN/Uw4ZxcMk9UDU7Kx/0t2faYC9L2rDHqyJ1tNfzrLnWLvon+omTgnIy2o1jQalctAFUunPuwNh56R7YgCw7qLy1LdZQhmSC93asvMbhHlFao4KUlJqVh9c5MA975WJPtDkKKvD5ZOsHpWLciohMiKAeu4m1+FgK2m0T7ZU/cGBMbCPF5wIv6s100kxKfHxWOpQQF4VhM2rDsAG8pxcRqW5Bf7CSNieYZkXqA0E9RwqFQqFQKBQKhUIhB/EcDaLAya1NlHuGckCwyMGwdNyC7KRAyxTK95NJAgknZeK0+Wr1crOc3UGQIZc8F3e24Le3tuE02YtuS/3kFRpZUGyWOTfBzBoE6C8nDw97lHq7cPsYoZwynCtGRKQmitMq335tDOAWr7vf+plkYlJOexA7B7zZU6znXs5PtDOK4NMrnbhNzrXjRvEtwU3oHtKb/4kDgda/TSk2yxVP4GZyYH94N36y+xSz3EhByJwr5qNIqVzuxo3UBZTv54HuqIcrB5939sZNQMl0ypEQw/h41o02WFaBG6jidAQrfhKAF7Cf3xp8mEzkU4B4nhc3UmuCJJRBNz8saBKNoz1/5MFtyh8i8Lz6HRi3IiJzHbgZm0nPOCUDggebyGPAHs+6Nni2SilA/Pcx8tQ2oH4sDZBFnmS2H1Mc1pwt6Tl4X7ANz2fJ4eDC7ey6+jJ8F92Iz9xtzcPwdVHzhVeqJtIkaU7cgHHOMhcJg/DtFOeNKqW8GKe2wSZQXLb8i25nd7einZ+8Bnm7guQRX04NvbPZ6jnql4t53L8V8+S9HNzQ/S2MeiyNd+6F4GDXplYSraEbdA6CLaV8QpyvIt9nvaVPJvi2lG+AeRwtsuP5akkc473Q/sfL6Cx4EkpbcNvd14exG07g2QNkYheuwZxe4oS95Bxjo+xYT7pR8PaGFDxDnhO3vEtrrHnWsvPQf5zT6bVKeNrPyYcHf2a11RNhfm8LbCHf4CYbPWjNKw9inAzKRJtURuC9Yy/NxylowzfIHj0SxJz8+D+wqRcs+5lZzv1f2PfUocgPlNIfN+IiIm9d+IZZ3uTEZ6bXoj2n5EDsZzflffyeDx7IV5dgIEwg714ggrm02oF1jPdSKcSEGdvBu87CPeNJqGbB3uTmOVpitLd1jQf2axTlPBy8AuNl5zXWvVnpdNT/1nfRNzudWJM/qYT37rrs08zyn5ppnyCYG/2kc7sjVN4h+P4TUlGnXW0YTxdXxeRPUmz+e5ILdf1Zzulm+SMXxter2/AMl/RGO+ffttgs35gPVsZNRbATC3YeubmUQt7lHGJi5bhQHmfHfNtjwE5ts8O+l9XCo98rHyJmY7xYa5ktsjCOMS8ichmtibEY7JHfjb5soHxgu0nsZ0+o8/x4zCxrI5bFx43YtwzwYW9WKniGYMwqENLbD29YI4nW8OvM1lFBBsUxDT4YKRTHAvhgpFAoFIpvFvhgpFAcLvRwpFAoFAqFQqFQKBQikiJWVowFWX4ERTKtJMsFSlQt5Y3gHEaXpMEdXZwAlySTvKTPpCIIrDEBakFJk9VtzLSivhlwr5U14/PfL0Aw/auVCKzNpyB+DvziwFoOfOVg6zyiQu2OdO4SFBHp44NLfkcQQX+FHtCQ+PfWVsFFmwz8svelIiKyKgYXKAe8i1hzbDSQu3FvCG7hbSM69+AM3QDql5NoT1Mzx5plzrKzhWgiK6Loy8tcoK3UpWAgXNqK/hUR6TccdWptRrsFG0BTyB2E31i+CLSXkUPQ/s/vwDO/1ALa384gKEkD0kGHYd1/EZFELHn0BZsD43ZUDtqhLIQxnOumgPYmuI4vKhhtlleEQNUMtIBaECR6kYjIGRS8WhnDHC0L4vd6+kDFKm3G743NpmBoOwmJGKA7LA0i/4ebchtxfh+ma3VEPIH+vzkHAhAsxsF2hgNSmd4Sa02uuElhRjsNJ9Bi9benkycpRLQyzt3V3wlaQ3EK3p9lwP610nMsJgrIrCpQTwr9oMCemw46zfA2UPiqU615rfrHME9Oz0Mf76jAd73iwWdCROEMtOF5thNNjqlQTJHq7sJ37qUAWM7/tLXBSl+LJ3EuOZxo8zyy75bcGWRv95fHrmOOjFGZoAzz55l+OjYdNnJhA2hvOZSHZGcT2v/KbuPN8sQ4+m+mDXN3L1Ecz7fDls1tgx0UERliw7M+VrnILJ+RB3pMgsbXIHr/W43r8R6ikXNOMxGR8ob1kiyc3h3CCDsiaBOmonKuKc6jxvOPBTgu7Qahk54p+J4fUeD37ibYjTUu9PdzLdZsW0PdWLdZFOO0BPYxtwawVo/IKDbLe1tAk/st5QFcRxSmFbQe18VoX+HAWHFR+1cQfV1EpJlyMXJowq76dZJMbOp/noiIFIzE79kLEMpw7wegi51sZTHJk0Qh/U4b9jt/bYHATy83KHPvfBs24u4PMD6/3YI9wOvUZ28EYBdHpUHQaQCN7WoDlbo6ijHh6LC1Pb8Rc2bDCeizKwNWO7APtxiwM/+yYc/w4R2wyX98APvCv1xl/T3/Xa93+r1fBV4Pnp2pZzGybSxuwmEcNRHruNqHC3JBT59D4mhsHy4ksRcRkU2tsEn9Hejv92ohsOUjij/vF8NxtDPb3gLKvfgtP8IGuO85H6eT8leVN1np5ZwziSniRV4KkSFa3Y66VbI/qOdIoVAoFAqFQqFQKEQPRwqFQqFQKBQKhUIhIgeh1dmJCuQkOsJAUqFqIBpaDeUfYVfZSB/e7xa4vZgCsLAZLu9ubrjrREQ2BZCLoX866hSIwSXPClIxyj2ym6ghfUiljHPNMJiawdroPTxwU3LeGRErbYNzgzDlZlMD6FDJpgL9vPf3RETk3/VwbV6cbc0dNC8EGlQ1uVk559FEyhH0AxtoCrNi6Mu3EqCtpRM94p+5cJOeUor3nEw0lLPaQCcojMF1u9IqtCbfakXfLCOlQh6oPxiFMfHcGtDn8oi2OcOO8fFRHegi3K9M2bgqHzRBEZHHdv5bkgWXC3WcmAu3fBMpMWVQfoD5NRvN8iVEGY0RgXF61UqzPDIb/SgiUtIMGhOr/31IlIwTM0AjKomAVjfVi7Fzd/MKs8x5h662QZnynmbUg1EbxhiamD/Y8n9Mx/LQ3OU5PdZfbJY5H0t1GJ8NRco6/e2viuIv5g2rTopYc76xCp+LXPzLaqHq9D8Fo8zysFSM+yqBS39nHPZygB3Ule0JvM6UyK0B2I0BmbAtIiIT3RhfJ8fQng6aNFG6CvvMDhom575qofHFN2cvVIHuyBTrIh/oChUh0ASHZYIGIiLyecU8SRZ4LjFt2k4UJaaccn1ZkbKexpqIyC5SAMxwwe6wfS/0Ym3qS3nJOI/QZVlQjLMTXesqoqV+h1Qqf+bH/HwyiPl5gsea5yhBfeMlNUvOzVfWij4odKBtWMk0SDTKuri1DdZVLZFkYVAe7Ckruo5MLzbLe1pBT+N1qbcPdN7KKN7DdLvzSJmPlQr3Ej3tpy5QhKdWzbXUb2q3yWaZKcOzGmB7HTSm8oj2nGcHdY9/r7WNcs0QLY5VC5fVY6/DIQMjcmCPRawUaEZDsKTT178qVvS4SERETq6CYvA/8s8wy+fmY22YVGat071u9MGTKbCR4x2kGkY5vf6/8zHe/vMO5tJNYawzu7f/xyzHP37WLE+9A/Y1l9QeL6VcQ+fRXvFfdtBNRUQG5WFunFiKvFHjsqESeDdRKgdPge39fCbm+oWBBWa5ZDhoYEv3YH8pIvK9ylckWcj0YR/V3IFCvw+ci25BPWiNPic2WGmkFh2iXIr1UfQL06OZhiwiku8mpVAa37z35zXhNB/G9M4EzgouUrzm/KjFpJrHVNIc2gfuIhu3JWClbxf5MKb2BLFPN4iKaCeqXzSKfXlHqOdIoVAoFAqFQqFQKOQgeY6K0nAC5CDKLY04rfVJw2k55sa1vduGE+ewFNyyuOgm8/kwgsAcdLNV29JoEU/4cT6CMJ+gQNQefpzmG1txo1RHp9gMN24CMu0o8y2Vi+oainUenFedivfbU22WbNkDM3GTzLkaOPDrSGJzvP1mjW/kSuNNUhWjdqAbg90JBBH+QHBSH9qCm4Rxjbg92zwcp//cchLEoBwsf6yHB+TTArRn4Vj0y1/nIx/BXpvIL3u03zRNEBHfUNyENq+F923jLtS7jnLERGtpvFBw+u1VyBFzHt3eX5yLG673yXvCQbbvBJIXjNwR/UhI5PN63FqdnYuAx49qEIDIY3JhEDcrVSGMw/7kmQwnWiy3lnxTMoOCrEfS8/JtMo/nv6civ8BlmWi31wPIm5KgnGaD/OQhpeD1cXm4VYsZbbIuUGb+m2+FQuQp5Bw2H1EuMg7IPJHy0SxIsucIuXpqJZV+c0gmnrc8DG90PbVbJuUJcVFA/+Y2vKdPKmxQLuW9qSGP0pYwvH7cLxfSeBYRmduA28H51N+zaRywsMAgN+Z6Ld36neBAmw824L18oA5ehJFZsAEbG3HbVtaIW+XB2WijcFuLJbA3mRieXWyWtzfjtpqDfJklEKXcROx9yXB4xUcemOs88Oj+vma+Wf44A+vPYy7YpqwUfPb1W04yy0v+ifb329CvN6WQyAC1zQsR3IhXhBosZV5bdpGQDDMzSgIYLydkQNChJgVj5wQnblR30Low0G31TiUz1J/zfmWSJ5bFGVjMhTPXX0HjbS95RZk9UEmB+INteL6pp6O/F87FevxO5iRJT0H/vSQoVyT45hzbIvY6eimH24YgPBRj0mGPPqlGC15ZiHFTQwwBFjfh+dnSFhMPjccRGfC+NtItf7I9R9fG22/Yf1OEHEStxMBYVIkx8oC7QE7KwI28y4P5f/GZlAMpBc/bRslkquaiPf/txPj8lgvrYHH/b5nlazKw/jxb/blZ/lk+hE7KgthfPmYfIt8Ptnu5L5fP5cY8vG/yZLT1h7UQOfplDB750lT0jXc+xkehB88w0ob+Xl+OPegSz5GxdyJWsTPOs8neH86ZmOVGm5zswzj6uH6DWeY9gp+8S5zXTUQkncY97xmq6UzAYgtlJCbF86ehBf3N63+cmF5rGsBwYs/wamKOsCCTiFWggsG2sCoMu8qetD2dE8ja677//+o68MHoWARvWI5V8MHoWMS+g5GI9WCk+Grgg9GxCD4YfRPAB6NjEXwwOhZxpA5GyQQfjI5F8MFI8fXBB6NjEZ5jfDyKiOVgdCxi38FIRCwHI8VXAx+MjkXs72CUDBzbOwCFQqFQKBQKhUKhOEo4IK2Ogx+bhDT3KciU86NwsGqeA269h6oXdvpZpqpwAHnHILDHK/B5BwVTxSlXR1Mr6senSQ4i3xkGLYFvNr+fiQD0veSqn0fa70UeUGCqQ1bdeKbPcVAvB02zGzHZyP0iWC2baB4La603y6x7f2/eJLN8kgEv2Fvkuv1z7kSzfHYpaB9nePGs7zXCRTvMj750e3FDF6tGH91+Lc7ide+iHFgRl5zz0L7BBtSpikbo6y1wuc7bA1rJx0Sl4/GxtAm5njjIkPMBrAngOzvmPUkmeD70ysU8YYEFDmQcQMHYW4mG0pdcxTz3WuP7vxU9qwDj20MCAhWUX6VvOr53Yz3c8x8T7aO/D9TAjwVBkcV2CA7kZgwwy5uiqHfHOe2140aq2I9nzSL6Z1YaKF7lMaK1phy5O51+X8zZljZre7IoDM9lDu5siICas9SGcdXbg+Dknql4vqI2+ix5qq5OQ4D+bDc8rB9UQXCloz2pTUXw8ADqp7II7FGY7CWPg5IYKAetdlAchhGtZ0kN7Al71ZhKx4IRRX6M5WRjNeUj65mOtuW8FlURPFMoBps+wQ9KDNtLEZEKwbP/vGCCWb66GTRTYmLJAC/a+bpnMFY3pGDcb6wHBdFtx+8xlaQxldcu2AOe3yIiQ0nkoiHWueAE02yYypagNZGFGnaRIEKywcI36xrKzHKeB/YinEDf8Ii+PwAPwLNeUBbXujD2Yino78IEXvfe94BZHvbd35nld2utAfNXRfHbhblYE05uwjxhqnoPEmFgT7ibqEan5kF4ZkEYdjRI/dLDjbU4SM9f2WLtCxaHstNvJBv7xCU8BnpgYCvaYKYHr99WZRWTYsbCoGrsd4bYsca9VgdbyFTB97+L8bHsVfTfPDtoTz3jeP36fMzJXModF07F93DOyvejpTLCRXnD3gZ9eI8Dnw+EMJdOKoBnbOh2UCRZUGjer7HG1b6GZ3uw8sjt8SpJhKjIh7o7yI67yA6wWAKL7HD7DyNa96Y4xt5AEgda0mLNTzeQcvktq8G+8FRqnx/5Mc8eiOE92S7MexZhqiLBFRZTK21BX9RFwYRKpfXf77R6thrpHFDkhU1mWmJwP2JsHaGeI0WXgw9GCoVCoVAoFF8HfDBSKA4XB5TyVigUCoVCoVAoFIrjBeo5UigUCoVCoVAoFArRw5FCoVAoFAqFQqFQiIgejhQKhUKhUCgUCoVCRPRwpFAoFAqFQqFQKBQioocjhUKhUCgUCoVCoRARPRwpFAqFQqFQKBQKhYjo4UihUCgUCoVCoVAoREQPRwqFQqFQKBQKhUIhIno4UigUCoVCoVAoFAoR0cORQqFQKBQKhUKhUIiIHo4UCoVCoVAoFAqFQkT0cKRQKBQKhUKhUCgUIqKHI4VCoVAoFAqFQqEQET0cKRQKhUKhUCgUCoWI6OFIoVAoFAqFQqFQKERED0cKhUKhUCgUCoVCISJ6OFIoFAqFQqFQKBQKEdHDkUKhUCgUCoVCoVCIiB6OFAqFQqFQKBQKhUJEvsGHo+HDh0tLS4v86U9/srxeXFwsb731ltTV1UldXZ08//zzkpub20W1PL6xvz5iPPnkkzJnzpyjWCtFR+yvn8455xz57LPPJBQKSXNzs8yaNUtOPvnkLqrl8Y399dEZZ5wh8+fPl6amJtm9e7dMmzZNfD5fF9VScSg271Deozhy2F/7f/7552IYxpf+/v3vf3dRTY9v7K+fcnNz5cknn5TKykppbGyUOXPm6LrURejYR7179+50DvHfaaed1sW1PjTYu7oCXwU2m02ee+45cTqdltezs7Nlzpw54nQ65YEHHhC73S5Tp06VESNGyLhx4yQWi3VRjY8/7K+PGD/+8Y/lpz/9qcydO/foVUxhwf76afLkyTJjxgzZsGGD3HHHHWK32+UXv/iFzJs3TyZNmiTLli3rohoff9hfH51++ukya9YsWbFihfz2t7+Vnj17ys033yxjxoyRyZMni2EYXVTj4xOHYvMO5T2KI4cDtf/gwYPlnXfekbfeesvy+s6dO49W9RRfYH/95Pf75bPPPpOioiKZNm2aNDQ0yA033CCffvqpjBs3TjZs2NBFNT7+0Fkf1dTUyJVXXvml93o8Hnn00Uelurpa1qxZczSr+bVgfNP+fv/73xvRaNQwDMP405/+ZL5+9913G7FYzBg0aJD52pQpUwzDMIxrr722y+t9PP3tr49ExEhNTTX+8Ic/GIlEwjAMw5gzZ06X1/d4/dtfP61cudIoKyszPB6P+Vp+fr5RV1dnzJw5s8vrfTz97a+Pli9fbuzYscNwu93ma9dff71hGIZx7rnndnm9j7e/A9m8w3mP/h39PiouLjYMwzCuvvrqLq+j/h14j5dIJIxJkyaZrxUUFBihUMh4/vnnu7zex9Pf4diyadOmGfF43Dj11FO7vN6H8dflFTisv2HDhhnRaNS44447vtQpJSUlxqxZs770mU2bNhmffPJJl9f9ePk7UB+5XC5j9erVhmEYxnPPPWeUl5fr4egY66fMzEwjkUgYDz744Jc+8/bbbxvBYLDL6368/O2vj1wulzFjxgzj9ttvt7x/yJAhhmEYxq233trldT+e/g5k8w7nPfrXNX10wQUXGIZhGOPGjevyeh7vfwfqp/LycmP69Olf+sz111+vF+DHSB919t54PG48/fTTXV7vw/n7RsUc2Ww2efbZZ+WTTz6Rl156yfJ/mZmZ0rdvX1mxYsWXPrdy5UoZM2bM0armcY0D9ZGIiNvtlvT0dLn00kvlRz/6kcTj8S6opeJA/dTU1CQDBw6UadOmfelzubm52mdHCQfqo5aWFjnvvPPkvvvus7w+atQoERHZtWvXUavn8Y6D2bxDfY/iyOFg7T906FAREdm0aZOIiHi93qNaP0U7DtRPxcXF0qNHD5k1a5b52r74yscee0yefvrpo1rX4xWHa8vuueceiUQi8vvf//4o1C55+EYdjm677Tbp37+/XHfddV/6v+7du4uIyJ49e770fxUVFZKRkSHp6elHvI7HOw7URyLtG+/+/ftrkGsX40D91NbWJiUlJVJRUWF5ffjw4TJx4kRZtGjR0armcY2DzSVGr1695Oqrr5ZHHnlE1q1bJ++8885RqKFC5ND66XD6UpF8HKz9hw0bJk1NTfLwww9LU1OThEIhKSkpkcsuu+wo1/T4xoH6qX///iIiUl1dLQ8++KAEAgEJBoOybds2ufDCC492VY9bHI4tGz58uFx00UXy+OOPS2Vl5VGoXfLwjTkcDRkyRP74xz/Kb37zm04PQGlpaSIiEg6Hv/R/kUhERERVnI4wDtZHIiKGYUgikTjKNVMwDqWfOsLn88kLL6VA+wAAACAASURBVLwgIiL333//kayeQg6vj7KysmTnzp3y3HPPidvtlhtvvFFaWlqOUk2PbxxKP32V+aZIHg6l/YcOHSrp6emSmZkpV111lVxzzTXS3Nwsr732WqcB5ork42D9lJmZKSIid911l1xwwQVy8803yw9/+EMJh8Py7rvvypQpU452lY87HK4tu/766yUej8ujjz56FGqXXHwj1OpSU1Pl2WeflQULFuzXdZqa2n7OO5BCU1tb2xGpn+LQ+kjR9fgq/eTxeGT69OkyatQouffee+Wzzz47wrU8vnG4fWQYhlx22WXidDrlpptukk8++US+//3vf0l1S5FcHOq6pHax63Co7f/kk0+KzWaTf/3rX+Zrr732mqxfv17++te/yiuvvKL7hyOIQ+knl8slIu2HpAEDBkggEBARkffff1+2b98u9913n4wbN+6o1fl4w+HaMrfbLVdeeaVMnz79G0nz/kYcjqZOnSojR46UU089VXJyckSk/bZUpJ0bnJOTI83NzSLSvpHriH2v7XuPIvk4lD6qr69XeeEuxuH2U0ZGhnzwwQdy6qmnyjPPPCN33HFHl9X9eMHh9lEgEJA33nhDRETefPNNWb9+vTz88MN6ODrCOJR++tnPfqZ2sQtxqHPpiSee+NJno9GovPjii/LnP/9ZhgwZIuvXrz+qdT+ecCj9FAqFRETk7bffNg9GIiKNjY0yffp0ufrqq8Xn85nvUyQXh7sunXHGGZKWlvaNDqHoclWIg/3NmTPHOBhGjhxpGIZh3H333V/6/CuvvGLU19d3+XP8N/8dSh/17t37S58rLS1VtbpjtJ/y8vKMlStXGoZhGI8//niX1/14+fuqc2nf39/+9jfDMAwjJyeny5/lv/nvUPqptLT0a/Wl/h35PjpQ+++Txh8/fnyXP8t/89+h9NO4ceMMwzCMO++880ufv//++w3DMIyCgoIuf5b/1r/DnUuPPvqoEY1GjbS0tC6v+1f5+0Z4jm655RbzhLoPBQUF8vLLL8sLL7wgL7zwgmzevFl27Ngho0eP/tLnTzzxRFm+fPnRqu5xiUPpo29aQN5/Iw61n/x+v3z88cdy4oknysMPPyy33HJLF9X4+MOh9JHb7ZbS0lJ58MEH5bHHHrO8Ny0tTdra2jTu6AjjUPopEol8ic2gdvHo4VD6KBaLyfr16+X111+Xu+66y/LeQYMGiYhIaWnpUavz8YhD6af169dLNBo1lQUZffr0kUgkIjU1NUeryscdDnePN3HiRFm2bNk3mrHV5Se0r/LXu3dvwzCs+uoPPvig0draagwcONB8bV8S2B//+MddXufj7a+zPur4p56jrv/rrJ+ef/55wzAMY9q0aV1eP/37ch/ZbDajvr7eWLNmjeFwOMz39erVywgEAsann37a5XU+Hv8OxeYdynv07+j2UXl5ubFr1y7LLXePHj2MxsZGY/bs2V1e5+Pxr7N+ev31142WlhZjyJAh5mvFxcVGJBIxXn311S6v8/H2tz9bZrfbjWg0ajzyyCNdXsev+veN8BwdKh588EG56qqrZPbs2fLQQw+J2+2WW2+9VZYvX665JRSKQ8SgQYPkqquukkAgIKtXr5YrrrjiS+95+eWXu6Bmin1IJBJy4403yksvvSTz5s2Tl156SXJycuSGG24QwzDkxhtv7OoqKhTfGNxwww3y7rvvyqJFi+Spp56StLQ0ueGGGyQej8svf/nLrq6e4gvceuutcvrpp8ucOXPk73//u7S2tsrNN98skUhEfve733V19RRfoFevXuJyub6RQgz78F91OKqtrZXJkyfLtGnT5M477zQlHqdOnSqtra1dXT2F4huB0047TUTaVYGee+65Tt+jh6Oux8svvyytra1y2223ycMPPyyhUEhmz54td9xxh2zbtq2rq6dQfGPw3nvvybe//W353e9+Jw888IBEIhGZO3eu3H777bJly5aurp7iC+zcuVPGjx8vDzzwgEydOlVSUlJk/vz5MnXqVKU+HkPYJ9jQ1NTUxTX56kiRdheSQqFQKBQKhUKhUBzX+MYkgVUoFAqFQqFQKBSKIwk9HCkUCoVCoVAoFAqF6OFIoVAoFAqFQqFQKERED0cKhUKhUCgUCoVCISIHUau7qOcFZnljpMIsZzp8ZjkYj5rlXEeaWU6h70lNwb8+r4OK0tDMXma51Yib5X6uPEs9ZtdtMMsD0rub5dqWRrPcRroSHpvLLHupvCtULZ3Ba8d7RvhRp12t9WY535Fulve0NFg+z/Uo8uR0+ht7wrVmua45uUpSQ/NPFhGRDLvXfG13tNbynlE+PNeHlavMcqEfSb2aWyNmuX9akVne2rTHLF+UO8osv17xuVkentMHZVeBWV4dxbgZ68Z3Lo3iO3s5sy11/bhytVkuSkN7VofRzhfln2iW5wY2m+UhaT3N8sKaTWY5y+03y34H2qnYnWuW97Ra+3VLTfISBxdkDDLL4RiSc3K99jTXmeVROSeY5VAC7+e5182O+Tajeo3l90ZmoT9KQ0jMNjodr9tScDfyeWOJWe7r62aWV9VvN8un5g42yzzfdtJYO4nG2Sc0b9NdaHMRkaaWsFkOx/F8aU4kzPQ53J2+J9HWZpYbgqh3MmB3tI/RvplFltcTBn6zJQHly0wn+s+bCjsSiIfMcpuBtioPIkmh2+bAe6g9Hak2s9yagF1k5HoyLP+ui0IVaEgG+mBbM+ZZJI56x+h7u/kx/ypDmAMnpGMcBFqDZtlpw7JREYSNHJZdbJY3Bcot9YtGkyfp6vX0Rl1SUZdiP+xOWbDKLI/L6m+W01LR5nUJ2DsRkUAcY7KHE3ZxQT3sSyiG9W587kCzXE/9PdiNesxv3GqWh6WhX+ZWrTfLUwpGmOVMGkPvVq2w1I/nRohsiN+JedLbm2+WtzXvNcs8JupakZSRx6NIcvvpmt6XmOVVtA7wmrw3Cps3wgfbvT6Muu8Jwr7ws3IbTMkbZpbdKZg/s+s2muVhGRg3IiJ2sn/uFIyjnFS08+JQmVnOprleQLaX5+6qJrw/biTMMvdLfQxz6TQ/7HygzaqoW5fAeNwSxDyubkquet7YbpNFRKSHAzaFb82raWyXd9hXNMcwh/r4C83y6lqsGz3T8ey7mrAH4/Eca0NbTczBWrm0AXulM3KGmOWKOMbwngjqVBOBHTQMq9bY5Dx8fk7VOrOc78s0y7w2s52LJmKdfi+va/xZkeSuTU5XD7M8LmeAWY4L1qUdQcyxAg/sV6YNdVxSi7HD9pr3sD092H+vqLM+Qxutgz3T0K+FLrThStozJKhf+2ZgTTVozvDeelsIz9DUivHvdcBm9PFhnDXQXBIRibdhXauO4JkyXdg3cT8FQqhrRxzwcLQuvKfT151kSJpimDi8gdjZjMWpyIfFt9CLRkyzwdDxwrQwgAVFRGRMZl+zvDyAh8l1YzJXh7FIT87BJm5rBPXo7sVGuDoaMMt8KAi2oeE2N2CBd2ZjU5lmt2Y8394IQ84HLV5IJ2RiQH+Q5MNR2RdtPSYb7cSbSRGRQjL4Pywab5bXt2Jx7OPBxqGFDqsDMzAxnbSgnFuIA8qOFnzPRvpOPhDNJKN+YTr6SETkk9AOs9wvs7t0hp5+p1leG0GbX5Y10iw/X4sDzQjqs75OHLKWBPFb6bQZKW3rfCOaDPBBZGI2NlUbaY6dnIfXK+gAnqBFNhTHWO2VhvGf48FiLWJdgNmYtNF7SqNYqFriMP7VrTAq/cigLanHvOyXjtddtOFs5brS+A+2WjeiabSo8KFrZQB9Y6NNztgMjO0ELU4zk3w42oftgb3SKx2bXL8dtmpvCBu6HGe6dAZe7KN0uPWRkWd7xOCLFP6e4VnFlvftDMG28YExTL+X7sSicIIfh53NjbBtfCDi7+F696C68sEnz4sxWNKEOcmL4pEE2zm+xDk/DzZhTgMuSfiAmGK5whOJc5+lYz7wb4zO6WeWVzRgLUp3YjwvaMEGbaifLmtqccgamo2N+prmsk7rx23bsX4DMmAjtzbiudPSME57+NBnJUH0zWA/7Llgvy8iItuSeDjak8DeoLoF622gBa+fSmv1HDrI8CXoyALUdzFd4ozMgg36rA59zOv/OTk4NC1sttqKcWk4mMRo75IgKznZjzVkF23IM1Ncnb6fN3TFabAfm2i+2eny49/hlWa5yGe9WG2kC4kBfrRHsg9H++xIQQbWkJ2tsHF1NJ5HplkPmAwv7QvLPBhYQ7zop93N2Bvw+pDhhp3iAxEfPFeH0IZ8yHLZsf7keaz2uK8Xa9/COsy/bFovB/nQtmV0+ONLfRddiDloveP3jPJb2+bDJK5NveggsriGLoOzcekRpPYs8mC/sZQcEoOyYI82NOw0y3wRGXPDzmR0uNTMc2P/zs/O9oX3Ojk+tHMZnQnYfm1sRr82RmEb+NB6AvXjzgj6PpKwXijkuND/uTQW/LRnb6SL2QNBaXWKLgcfjBSKYwF8MDoWwQcjhUKhUFjBByOF4nChhyOFQqFQKBQKhUKhkIPQ6tg9NsgDSsZior2NyoDbmWkDBUSfY14qcyHZndbTC57jyPRiSz3YHfrtPFC5loVBAbgp/xSzXG7AvZhHtJcIcXrriJt6MnHHbXRenEQc1Ubip5cQl1tEJJXaaS/FjTDm1G7o9PVkIPMLlzTX/dzMoZb3BAzQRBz0viFOtPtrlUvNMtNrJuSBA8zccaZFDnNjfHwaAMUhzw73en0UNIH8NLimmZopItLDAzpIXSv6KUaUrevSQJupEdDhokRLqSF6WHfiUxe4MAY5VqeA3LjJRjrFCi2sBy2iO1FfysIUJ0GUj/VEIezmRB23E/VhPL1fRGRuA+ZMWRNijs6i+IZhNKfDFDs4iXjwH9aDm90nDTdxzBn+lheUt+lhUAk4lqXIbaWMVEZBgy2JoH7MK2du99x6jKnxFEOSbKR8QRXgOAcR69hgepODYl6YjlgVBlXNT5SFk4geuINojUxJ5jijwZmgQTAVroU48CJWyh1TKnPJ/m0MwF4y5YfpEUxT4Gfg17lOLW2oB49xfh4RkW21nVO0vwo4Tq82DPuQ4waFg+MQh6eD7pJjA71iWbDM8r21tCZUEk27P1FAKlrwOvPgT88AbXp7DO3Wzw67M75gIr5H0J5zyP5xDNXdHtg4EZGpQVCGJ7pBNRtNtncxrYkc68a01CVEW+o4jpKJ7jaMBxvRsUrsGPfLArAXTO1hqi5T3uqjoLZNoTjOljQ8B8cKD6X41xqKWRUR2eVCP6XQHCi0Y858SuMoy4XxtSpSapZtqUQjojF4GsXGMYVzexPWUKYXlTbDDoqInJMLSqDjCN5j9/O30944ti7bjTbgcdQxjodp1KtoPrENY8rjlPzhZrm0BTY2y4E5zbYjnfYYvL/MJBpelCjhTHNeXGulH3LMUW0cNpLp4qOzME/WNuJ5TqB4qnX1eJ1tQEMLxmaysasZc2YExXf7KCxgVBbWbV6LmBpXT/GGTO/kNg+QPRrot4Y4cJwzx/Z9TiEJV2QhLn15DDTKIT7YrLXNoPS57QiXKMrGPqEignnM8BLFvbVDKATHA/Oeg+PSRlM7zY+UdfobIuo5UigUCoVCoVAoFAoR0cORQqFQKBQKhUKhUIhIu+K2sb//7JUNF6iT3NwsJ8zy2EyZYzU4dikz/WAtUbTs5KLrqEAxxQc32Jww3NksCcrKGxcXnGSWmXrEijl15J5nxZxdLXg/071cNrj+WClFxKoA0ssFKpFL8EwryOVc3gAZ12TA7W5XLDknD/3V2Ba1vGdVAO12ejael5UBmdrIFMR+biilzK2FotCteaAyZrehj3vG4KJ9z43vebVqmVlmSUiWDBaxKrINJlfs7Kq1ZvmSbmPNcu8UUGUcNNYWxeHSXdeE8cEKYNwWW6LWIPdkSnkPyR9nlnu74O5dQ+7l0Wlwl88j5Sam3pUEQE/KJTUrppuIWKUr6yP4P1YY5N9gtzrTaZnCxKqOLMV9TiHoP+cbGP8vt6GuPxOre362HZ+vbkN5WQNoNlyn4ZnFZpnH5qrKhZJM5Ke3U2x7+6yCDDFy3zOVLkp1YcoCS2WzAlmEZERvLppsll8KQL4+14V+ZdpaUyvsEatiilhlS3m8ZJBs/QQn5tkHQcx7ll8vJUpSGYk+8DMwvbKBnplpaR3rdyDJ1MNFOq0HrMhWSNRZVjU9MRPzqikBu8hSyyIiVRHQrLJJ9SibKD9B+nwq2RpORdEcw3hmaeFTckDf9qZiPfm0FusBq+x1pFI1GegDG9O0iJ7koXUqiyR8mZo+NhuKe7zuiojM3j1TkoVLen3LLK8hVc5WGtN1ZJuGZYKGxn3DbcU0Lg/tSapjaGeWXZ7gKzbLuxN4j4jIuTZSMjOwN/i4CnNxJKVUKCK63Qx6zzkF6LN8UoVtIOXb8hi+f2cY+wemUWY5rYqjVdGGTt+3N7BRkomeWe30ve5EZ1/bgP0C/zbLb4uIjCSFtjVBrGWsAFdOVFRW9rURrYupvbxfZPpvMa2byxoxv1l97OrCk82yT6xjeyZRqM4kyuOHQdBMa6Owo0zRZ9XW7Y20b6VnmJxrVeCdUT5DkoUx3SaZ5TV1ELBiKiqvlxYZcqIdDqH0OX0d2K8vDYGOm07Kbvx8IiL/68Dnx0TxvWtcmIvbUjHuY3S8qKM96ffjsNVPpmI+ZKbiefqmwu4up70c72U5fYOINbUQj1um3zFdPKS0OoVCoVAoFAqFQqE4MPRwpFAoFAqFQqFQKBRyEFpdlh/ud064mkPuX85wXU1qMJcWjDHLM0m9bDhlCV/VBPcYZw/nbNUi1kSuQaIssMuvyAOX6/ZmuD1HUFbsnja4xd8gihdnOR6fASWsIal4zpmUHK+tQ5NVkqoGu3gnkAre/GqiMMWsandfF/soW6zwwwkZRaz0KKZEXZwLSsDLFZ+bZc5mPMKD8ikGvqeFcihemoU+cvnhwny6HJ+d1wb6RyWpqYyiRLEiVprVuma0ewYltEy3o88GO0EH+EkU5/1FLlB7FhhwpTYSNYZpMtE2q3LT5pplkiy4XKBecpZ3BrvImcLGKkmsEsfKLAN81jbkZMb9HKC6XRtFmzxDlMdVEdBe2D3PNJ2+LrRzZgpeT1CdmPZSTRneO86ZE+2Yr3kG5vs/m0FXYcrNyCxQo5pJOXJjNRQWk4GctPb5z2pLIlZVomArxgwndWUq1t4w7GKY3t8jDW14Thooxv3b8D2PhWErzvRDPanYQJuHU6zt+WjNErM8KANjjbOm9/KBHsuUHVbfY+VNTmjpssG2dKTW7MMeUuocndvP8n/LKj7r9DNfBftoxCIibqoXUyz6EgXHSfSad6qRdHM8ZZoXEdkU3G2WWTHzx3asIctsGHunxdAO5/bFZ4uXgvbCyZk5ISzT+2parXSvfeiofjUxC+tJEdG3vPR8q+Pog9VEP2FwstHGDkqhexqSp6p6cc8LzfKSJtCgOAnsRfmg+b5TCRpzf0oEzklImSLMY/WMPKizMi2Y7aArBWNFRGRPa+dqjKzceUUm1se5LejjECVI/mwk+uKkFdgLPOIEzf3XceyBJvpgy6rbMJ4aEtbklGzrmWqWzLkkItI/tz0MIUxjMkDJOHk96Jiolmm7TDPlvmkmmnwNhVv0T0Mf82+saygzy0xP7peJNY7HBNOQmRrLez8RkR2kBsvqhGP9xWZ5Vh3Gv4dU1Pr6QElmWjeHlfDziIgs2TtXkgWfp7jT11m1j5U7+XWml43ww3b2SsV7NsYxbqNEQeu4btcRjTrbib3gIAfs5axGjHW2eUyv5JCVM0l1cmEQdqKHG9/ZjVSPK0hpkPcCIiJbKewgn8IOCtygEDrpfLFo7xzZH9RzpFAoFAqFQqFQKBRykDxHYQoezkvHrSjfEIyiYN71KfBWcG4CDmzj0yPfzo23Qwxgt2EVE7jRhhs+lw0n2d/acCvKgVi96YZ0WwjviXpwImZv0QDScj8xFafNsVHS23cVm+VHAiss9ZuSSQIHdPJlEQC+eW5OcmqJvaH220I+5Xe84eEgtHNykD/h3Vrk+eHA0mo6nc+ohRBCgnIv3GFgHJRXot2eJ8fIrCDy5NzrQo6df9gxJrbHGyx5bxihGPq1mwcekBDdcnEuHm82NPZfrllklq/MgydzOT2bNbj+yOX86ObL6vT1Rrqd91JOh4CBm5Uo3VLu75afPZPt/4e+8edh7FXacAPzRxdugVbEMMeet8HDl5+KeTLWQPl3NQvMMnsSuH7sCfPbrd6GRdTWV9kgujE5DZ7bEjfGhIMCx3c2WwVRkol9HjseFyLWYOkWCnBlj0qhE3MggzybfNNouaEmL9tCgSeV+66Ugsi30fu3BK2eYfZ0cU4HFsm5yImb1HfIPg9ywV4uaEJw8oB02EX2sHLek/oo5RkiLwnfFicbCRpjfSjnkocC91dQcDjnxWAP5MoAPDwiVnGHTOq/V9uwhjSQKMbbIQQJ52zE+tgzDWvZcC/a8IQU3NTOjcMLcQ4xNKY34uaa1wwRkY8qV5nlAj/6tYHyx3FOrcnZuJGdTXn2WLAg1Gpda5OJLMrB4ndg/o9Phzc0IRiHV3Ybb5bnNGMcslDQGRnwnlUk8NxN5CE6145b/lNimBcnnWm1G5Fy1OmDMvTBa4L3zYpiHE0hj2XvNtiHBHmUenpQ1xYSKRrihdfjoX7w7j20Ha+vo3kvIlIdg30udqK/k8dnaEcfd3udfcQ8afKhPX3kceN2FhHZQayeiiDt7WgOsIAX26ko2cJiJ9b2NhIN2NoETwB7Uvl7epIIFjMdmhJRWU85iZg9w3u2t6uwn+OcQJzTiW04g1kdJcHkMoIYvJ9j5haLtvB+PYdYDMwoWhsEE2cV55OiPupFXvfKmDU32DAax2cKcv/96HTYSO9DH5rl+MI3zXLLKxCoeGYxbNPmFNTbQyJrV6Tit/Ja0RcrXejHZanWvKJlNoxH9iDXtuA52NN4IKjnSNHl2N/BSKFQKBQKheJwwQcjheJwoYcjhUKhUCgUCoVCoZCD0Oo4cDyXciZwADbr+u9sgkuruwtuYNYY58C7K5ygOLgo5UQ/ou+IiKxw4/e8ROV6qBUBuD8xQJGY6Mb3jrGh/PcEAlRvygTNqiQF1ILZMbgHF9rRPL+N4nkuyQI9TESkrA3ufRalGEyUj70RuP+sYbZfH2fltAejRijXBtPiRERK45VmuYH05idmD5TOsDEA92ueJ73T98xKgXt3hh19n2NgTHCQ9sY09H1+G9y4Lo9VS3+gHW39XAiB5uvq0H+3F51ulms9oImcFIdbvTYXAbFzwmVmmXOzsDu5ZT+u82RgnB/jcHo16DHdfKAEbKNgQg6o5Bxb1RQA6qX56bBZp/IVBcgDxTlR+hKNb1UQ7bzRib7ZG0HQ7Pco0PKh1i1meWAGqHA/sxeb5ULKcfWqC7+1nnKaiVjzmDwRw9xl+txgJ6gZO+KoE+ccSjbyvgjidHTI/8JueaYRsm3jAHjONbSlodwse4gq9U4Ic+ODNNijsTeD8rHxMdC4Bv8A9UnJGG2p3z+fQvmFKHJFXeMCXSiHmm2agf7r5oSt+AUJe2wLo8+K3KBalIZgSzhnGFM/gkeQVjcsu9gsc/sHKMg3lfqPA3ALKLB3Qi7miIjIugSoxzm0rr1XAxEHzh/yWAbyvDmJgrOO2HDbiB67pY1oQWSr643OhVVqYtaVojoFc4CDrxlMEWdxFLedhCso0Dm1A5UrYNVn+FpYGgHd7ATKlTezFjToqyj/2zsBvD4iDRRQFm7aSzQaN1Fw9tJcGlKAcXgSiVW4LjzVUr/wP0EN3mRHf5SHwGS4zQX6zyZBe74YA93OUYq6drOjX35Uje9ngaofboWNrE/A5gc6iGPsDoIe2zffSpNPJmri7eMsTDTIpXXIg3ZKLtpgV9RKY2Lau5sEDBI09jYFYP96+mHTt5FoVI0b9jWD1uQLSTBqqGBf+LcAxDsCFJS/lvYIY/OsgitXp2JuLE7BZ64pBJ2zhkI6ykiwY5QLe82PmpAzjKnwPPdERGqbtkqywOvlxkbszZjibUuFryPTjjZcXgeKKvclr1cXZUDQ5D/NeL7ebvSXiMgqoit/1or3PfIh9ojR6chvdk0G+q9csNfBzkxkRALj7lo79swj7seeKbEaueDOqcQc2zEP9lxE5B4K+5gXwH6FRSlW1x5azj31HCkUCoVCoVAoFAqF6OFIoVAoFAqFQqFQKETkILQ6VmJqJCoW56gZ4IXyzJBsqIyURUD/uSF/glleFMPrd1TPM8un58EdNtRuVZPYTrS1a1tB5YoZONv1JqrAr/ygH4zYAdfavblwq39i4D2NRAFhJb5/etE888Noi2s6uL9Dcbgwz86bZJY/aMOzliQ5t5Hl94121+onVVCVY+qJiMjI7BPMcga5z8tJjWSgE677P+dONMvfSYcq07UBtNXcVFARODfV0ma4a1lxKasN/fVEMfp08iYrBfCSlEKzPCUfDtiJKaCBvRqBa3R7E+g/L5BCycnZUD77uRsu9t8EoG1/Sje8p6oDFXGXJA8z6+AWnpw7xCy3GKQcFUPbNlGeI1Z9K85A29ziBv0qYmXHyKNBqFN1JzWfZ0kVaEwcH9ormN9+ogo83ApqAFNXTs2Be35eCtot3Y15sphymzhSrTlGtjaAcnNDEebMbFKHajCgYrOsFvXIJlW0Kqt40tfGPlU9zqMlIlLeDKqa0weVHs4Hwiplm4lKxzl/doZAP72FqL0Liao842lQKM6LY17FdmAezlloVf9b6kIfTPLADj/SDJvwew/owHbKk8TMqu42tG0d0e36ODD3dhiYb0z/TLN1nv8o2aigvHKsguYlmhXTt1lpb2IK+m6bWAfPI0609bownuvUvMlm+YEQ8nDdl8CYuMWOPg4T/ep/4pQLxADN9LtE7c10g+JYQfUuabSu/GkAswAAIABJREFUGd8tBA0wQHNjQR3oLZMdoP+U0O+x+iIrxNVFO6fnJQOs3ji3BvYv0YbfZ3W+CKnach4oO1Ekq0JYt7/f7WSzfLkN9PAFtIaPKAYFVArPtNQv83LYzwn3Yh18g3774RgoScEIbLKd1rv5NE82RTG/H8yFXdsisPMfEU2Qn3lyDuojIlIbQZ0+rFkjRwr7cp6NS8Me4YR0KP5tbIYt4/qKiAzNBKUwMxXrxo/iWGfmpeHZZ4WwJjCl/Aov1pMnGkE793nQzuMi2G8M8mPO5BGFLDUX6/kPUq00t7uC+N7RaaBsFaWCEhZPIU4sKQRuiGHtYyodr4lNsSRyUjsgEsd8H5lRbJarY5i/rOK6og62iVX3mKo7PgttxdR7zoO5NITxLyKS5oK9/WM26IgfGWiHa6nvH2jBLiqb+ulGogn27A/6om8MPis9cbawZaAvHH2RG6138M+W+oWWY91mtTqmX4/MwThfUbn/fbl6jhQKhUKhUCgUCoVCRFJEOqTAJdgcCA51UUCn5URGevOcf4KDxfmkWx/H6bqvC96e9WGc4M6irPAi1lNtGgVYVgtuMQaSCMA1fXArbXPh8S7bgFuBe9pwo3d7Kk7T+TacbmfV41brn2kIHC1IWPPhrHQhEPH1OE7Ka+oQaM55leqarafxr4sx3dpvqNaRdCVndxYRuSQX+X8+COC5fkAZwCN0o7iTvHV3tuG7bjZwU8Ha/1kk2LGmCfV4x4vbar8T7VbTYr1lXkCiDPdXwKN4QQFuCUam4Ibnnoq5ZnlULsZLNvXfCXQLvqoVtypjnLhdfbJioVlmD42ISCB0aIF7h4IRBfCe9qdxv4s8d9sop8PoTNxurGrETSPfiA/JgIdgR9AqeHBD5klm+dw4boJ2tKGfsmi+/krwG5zHhm9cWHCldzra8G923NoOzcMNUirlJJu8i25wxZqx2kf5abxUnlWJ29KT6EaQx93aqsWSTIwqQJA9exw4x8aETHghP66CJ2FENm4jOT9HLz+C0b/rxlhdYaDvFwfgGXsgHbZmnAPvaYpY896U0k3tr0LIfuK3880mvCzn5mOun5AK+7eNhALcdEvfl/LyvNGMPFo+ylnFAf07mqx9zAHCTSFrTqGvgzO7n22WlwcwRzmnU4zyaP3MD+9zFqaPnJjAvBARGTABbZXixHPdvBi3mW9UIRB8dDb60knt9nQmnjutAGPoum2wX5wvJoXaMC3F2enrIiLDSADHQ8JE/SkHyE+aIWCT74GXbKyXcse0ItCfhSFERNZVLZFk4dJe3zbLayKYD2zD+lDA9wgb+m9GBOPlQYEtnEPLRg2t//0MjPkXw2CL3OSGR+LEmDWn03byAHSnwPYU2hI95cZvjDEwZ14lQYbZ52JeFr2OG/vL8+EZXt0C28l5Zxy0l1pWj8+KWPdZLbTnaKW8SslAr+z2+cEehkAL9ml5NI56ua3CEEEaxxnkOb4hhvfdmoBtG0l5v6ZXQejkUhIQyqK8SjtoH/KQF+Om6Fx4lOa+hn55wmn1hDaSDZ/ggB3+RSbmwN0BeDi9tL/cnIDt3RzC+B3ph7dsSwQ2z22zsiOSOZd8nmKz3ELeu9TUzv0bBV702XnpmAMlcTzTJSloj49J7GU5MX9qI9b25DVkFwlWTHZDSKHQQN+8F8NY/UMC3sgVbtT7qizszcaWYv/8kB9jYkovnA9SiPUQb7U+/9I9YNa8SGsn15XzWW6u2X/WMPUcKbocCzqo1SkUXQ0+GB2L4IPRsQjbfhZthUKhOBpoPMZtuOLYhq5gCoVCoVAoFAqFQiEHEWSYlI/Acc770UB0hPUNcC//tAhB/NsToGpw0Pnb2XD3ldTDHdrgxG91j1gDZQf0RSDyH/fCXct0u0yiS5RuJT31G0FF+Le7zCy7RuI9Oc/DHeyk8+KYTNAm7mwBFW7xFNBNRESWL4KruMgO6kQdBWizi7wuyYmO9lHafliIANUSygsjIvJi5edmuY0CYiPUcB81g47AeXl+SzkBpsbhtuzrwYOcWQ/X+beyQWMZ/VPQuB54CjSuJ1vgUu9rh7tVRKRnGty9a8Jwy57vhhb/YBL/GOnE+9+qBc0pkgH3N+cGSMkkSkom+q6xQ0BlMnN+sNDHjBoEyed74NIv9oOq1kx0hZ/mgJ5RL6DBsGDBoCwKZBSRM6P4vxC5uT9woy9nBkCVSndiTOdTIDXnSGBqKFPpRvaAWzy9P8bT7Ysx/q+jPhUR+fXjGKtbfv6JWX6A5t8Pi0BFfHEv6HP/UwiKKFoyOdjwhT3LJ9EFEZFQDO25pBFtMjEPQdSWgORsjL1PU0FN4Nuo3eTq/3E2aJBbKaC/OwkDTP4z2rPvq8gJIyKSvwX1nezBb8+1lZnl7S2gkmxsAw1zkAfz7wOiCZ6UA5GBi9PwnHspF8hnjZj3k0ikY1ZVsnsGYCod07pro6BR5Lhhh7sTcywrgbYdfrt1TIY/AiV0+QLYOZ8HY/qifNB8HdSbWylg+6wK2N4eDaDQ1sZArSolCmLfDLT/KR60eSONAxGRWgrqX0jUqo31WIOvpjnzBuVnKndax/M+dHNYX1/X6bu+GvbGsT6UBECLubgbxvr2FrRbVirW9oowKI6/cMJmZUaxZ+DcL2tJICGT8uRU2tB3s1OttNSmFHz+9jAEI/p60ffvjcN7nlqK337Rj33FH+dgrOV7sFfZH7pRrq0A2XkWLxIROTkDY4HzST67M7m0un3UqTjRrNnW9/VgnqxtxlgTERmWhnWY6ZJ3p5R3+vpqWs9Z9GFBEHM614X1J4XWzT9GQLt8vBxzbGge2jCrCW27OmKtawbRKCMhUOB+2or6PUXRCCxcxfnH1ofwbJxrK5I4cnkS84kmxyIqbP84B1t3D+zOy9WgAmdQv95Ke9phJKzhJVr2JQXWXFGtZJOYXfFE5SKzfH0hqOm3t6Hdzvgd5smmh0CXvLwGz8B9f28M+9GGPdhvXODHHCs4y0pl7PYG7YlSMUe3G1j7fDbrPNsf1HOkUCgUCoVCoVAoFKKHI4VCoVAoFAqFQqEQkYPQ6qKkZLM5uKfT9/jIFTy9CTQdJymynO+Ha25kGRQ8phYg71BPoj6cVQsXnYjI2eVQPOtOsfubYnC9byfaXyWpkowcAiqWbSNcuu8+jUffLXBTvpIDv+op5XCf9iA35YY5VsUWEquTRUS5YUUuzvlg1aT5+tgYan+u/7+97wywsrraXaf3mTO9wMAA0kGagB1UBNuH3dj4PntiSWJJ9BNLjBoL0ZgYS2yxoMRYEAsCASmCFOm9wwhMb2fm9H5/nJn3ed65WCKH+3nv3c+vzeHMOfvsvfba+13r2c9yU50Cq0E/tZwmTxC1ZEcC1J5HbKDD9YoiZTpgNNr3bya9+AR+08/zQJUIkerd714BFWRJDDZ0nhfzMjahv1w+w465vFJANXtXQN861Y50/lukODKpEL+BU/ic2mc6Rn87Pn9tokqOFtpIMa7QgfRyPyfSzm1J0EempUChujsGCtQxFtDn2km1rcKkr8tzfQo0Ba7Zs7mhSmvfTAp688JQqMmnz7qoBPPKWEtxla2NoEd8XIs5vj+Beezh1KverL52qdYeNAx0qKf9+NwxO5A+Z/XLlb7sqj0yOimdLrM+9W4zWg/3dt0647Vv9oIGsCsCu53TDgW+e4vh/86Owz7cTlAD0ibQSiyXPqa1lz78gK4fkeR2rc1rupsNPojtq7O2iYjIugTmnutYlBD9Z2kU88qKgryO36iB37Z3UcsM6gU+jwis0ri2CWN+QQGUlD4gStkGF3zWHeWwqa3T9Be2byBFsPGkivZaHSidvB6WBzFuH1BtqVc98ClP3QyKV/0M+KM2B6hbk0ip8MUIKDC+sL7uWokbc1kfwPxZzXpqSScG5EJBakcA331yLvbjtYGqw/5tNrCaKLnjimEny2idMI3m1QCobdcRlfh6Up0634e19I0fNMU38lGL6vbgWq39AfndE52gDomI9EljjTPtnev6vLYKypFMz3yFlFOL0/BzQ1wY878+jt8c+QC0ntLZqLczLxe1Yp7Mwf4tohcU+ILqRGUbBfYM/chmwpr1xWB7O0lJ2E/190RE1rbSPmPjGjMYk4vcoNsyJddLqnQ90vjuZWnYNtPqVvjxXR+vxFofSfZxTQSfuYCuD4iIpEiFsC2I/aQ5CTsoou9rIxprmRHreBedJbi2UVdlt2yiwEq1/UIYH1YYLHfiXBonlVlWtyskKiOrjt6Xwut3Ceb+Q1LnFBEx0jp5sBh1vF6lfpQRjX/i29jjws//Q2sfMML/NYQwf2NdWKNzW2Dzd1FtysLC07T2lk/0c+ywYf7+3oq+n+4FLXxN8IdVsFSZIwUFBQUFBQUFBQUFBVEPRwoKCgoKCgoKCgoKCiLyPbS6UBL0juZvSRnmO5DuC5GiU4ELaWem25WS6sa+NFK0q0kRjdOzIiITDEgX/ocD6enT2pBWZ9rUuFzQ6pbfhBT7hw58zls+FP+8uwjqGsVnEf3pLaT8WZWvLRcKZyIil/cGZWHZfqSQWaHMnz56SiaRjrRpkIpbtXYpcBilInd6ihnaPqIs7iDlrf7U9VuN+NzxLVC2mpgHCsHTFVCSqVxzeBLhxSWgoawx69UJl9bAXo4vB73shhjaSynlfUwOqGmcevdaQAs6iZS0VrWC1nHABJoGK79kG0wPcJBaSjUplp3gACXDK6Af9E6DTuMjhbovGzFOpiKMv4iI1YilfZoV4xPNxbgliGZwjA1ju4HSzkEqnMhUqWZXd629kpQK+3iQnn+blPESKX0c5q/9QG+yHwuqoJ3s8Y5DWGcrDPA/+2Kg02a7oHKRNeO3tvj0SkfD8qDeyEVozyLflOPF+Jyagl/8mmhrXhvoGdMaQUPbWgSayF97gKrh+S/4Jt8V12rtu6IYAxGRC3Mw/0ma12EJ0EyeS6Gw5iSiwx0joFfsEqxvpr18Tv4vxepTZBO8FxTZ9SpoW8NVki0cCGHNDswjPxIB9e/cQlCxK1JYC9XVROOy6m3ydAs+681m7BtcUHGhb4fWzrXCv1wbhz2/YSCV0nNv1NoF+57S2q/Nw99engf1xcsi8EEXG1CsW0TkLCrm6PfgfS6idl4XxdyvtsCfTKcCms20N3gs+r02m2AVvt0hUIMv82JuComCs5noPDGiZt8dxTwxTfSTPOzzj0bha07MRcHoVwbDb5R9oS8Y/cty0IJCCfhVsxEb4RLBXjbNhT69S336jAqBbt3+ntaOv/6o1rYOQl/vWQu/Ni0F/2/qEqte1QS1rgF5mMvNkR9GC/p3MYhUK5fH4Fe5AG2yC1WtIge23hzFWJtMGMM/13yptSeWws/5ScV4WQxURt4rXyb61fWkQrjRAvs/0YHPOXEa/NpHt+u5vDdEQQ9sNMCff0R/PyiFc08OFV3eRefTAivOtt8E4YtsXYrAHq0TX5zOKcMLoKgcpfPfwRD8EatIL6Bi3MEEftMVQVx3ObsI6/MsFz5fRCROe8tuOqM8bwJV99k09qYRV4EONyWKsernwrq/3wal6hfjsIPf5kPR9u0I7PGaJnzmdeXYH0VEZvqgknoW7XERUtnjYvbfBZU5UlBQUFBQUFBQUFBQkO/JHBXShdxSFyI2rOceiOHp8Zl8PKHe7cOTaLkL0dU5FfjMWxoQrXmxAE/DeRP0Fyedf3xYa8dfe0RrP/UXfO4TKURnV6Tw5DrXhKfjcAT9/lfuSK2NKisi//kenjBrQqjBMIKe0Od1uf9atRdR9GOorsInYWQx+MJntjEqN9O3de2ICoz3DtC9x5uP6HCcBAkeiGNeu+Xh99rsmA+W75+ZROR1kAfRrJcvxmca++CJfcEezNHVcWQYft+AC/ldMbwAF1O/IBGHQxZ81sYIIpExunw4wl2ptXMNiGp/0YaIL9dzKKXaQlzLS0RkbXCvZAuNYUQgPVbMBfd9GwknvEGiIhGK5vc2Yv0UOhHB2hTQRxPv9qAey3UX4MLjQ0NwAbjqSYzJa3HM60q6wMnZojEk+PFJLSLr/fNg/1MNlVr79xGM32A7IoAiIq99g+jp8TsxBg1Uq6HWSsIhYUSd0hS9yjb2BzNRYJfFJqUOZLQ4i77Nh7H+ugRCLUGKhAZpuf/CjUjczDj+NkZrjDOep22BHRh+iyjZ+Q6M/5Qcffb66bplWntWLqJpv0xBqGG8C3+fS67/xVbMJV+45boZQ/MrtTZn0eO0llz0t0ez5oeXMjacIeVoKQtlVJDIhNuOfu2NdamnZ0aGyG1BBJmzCr/OG62134/C35ZbsH72xtG/2MQXtfYeQZT9RIr+nv7pxVo7+te/ae0blmINi4i85kOmvoxss8SMCPfwqYiI73mC6qGQuFJrFJnJtphe9CGbGEhiN5+2QYSgxYN1sjKOrEtzDHWRKu1YV0PM+K0m8n9/ofo0DgN8gsWAzMOFm2AHzxXjIreIyNI0/CrXeYuS7fpTON88G0c/6hLo96Z5D2rtxMK38QW0Hva9jXPI3Bgi1z660N/Drhd6yrWjT2PsWO/ZrEUlIlLe8b0ROhdwhmhADvx7o1XPIErRRXyuj8Pr0kDvX9IEtgN/x/klOI+1U+2naBx78s5WZBUep8xPxZMQFjJU4uL98FkDpfFWrCf/Psz3TA/m+MQE/MM2M9bJshgyTd3NWN8srnRmPs46XdlBc0L7JVtgO+ExZ+GFujDOvTfkYTzf9kPY4HyqV7ckgvG8LBdCVnkkMFIZ59kT2WqBjdzeHf52H53zeI79eTg3r+2NzOS+/Th3LrLh9/wqjjPlH8I4LzLbqSIHZ6NZrfrVMJjOpO/VQ6iLbY3PNN8lFKQyRwoKCgpdwA9GCgoKCgr/d4EfjBQU/l2ohyMFBQUFBQUFBQUFBQX5HlrdHrpo6KNU/Jh8XHisi4GyYya2C1/MZhrXF7V4vS9dqiu6BF2p/ycoNCIiln/gImt4GagM/U2gQRSZQC3gS+55ZqSmGxNIkSfNSBcOo0usnxuRNubL6L9LgCKQ6nJvfy5d6DNRErk+jH50vciYTXxRn7mExtQXrvEjoqf1DXXggn6Y0tbPR0DTSkQwJqc0gEe42QIaRh8Lxv+C9/H6nTGIZjxuxhi8mUbtl9wipKBvSepT9e2Utl44CKn6D/fQ5WEb7Kg+hfcfQ7SLNXRJusCG33ZXDlLO99aBtlTmPnrZAk4LN4dBHzm5CGnu/WH0t9WCtPPiFlCj+nlAr2gIgqp3dRnociIiCTI382m4ePzNbxdr7bfjmL84XYDu7cbY7myHHY1LYwyvzh+ntZmM2McBf1BBlM1l7XrhhGY3qBpRqiH2L6JRNgZgFzVBUD7dVn1drGyi08+5LA7d60y1YVGFSQnY28NRXKD/OgYhkl8RFWu7D1SGseRHeX1OskEYYHgU/qQuhfZqg15w5deloDTfFYaP7GUHlWtOO+yILxUzpeh4qgVjoT61EtWlloQX+LK2nS4kJ9JHT9xktw82ckoRLvP2dcGvuakW0zlh9OWPDoihfN2irx2zj+qP1QXht4YRzfeJRgj5TKKLyw+kMTfP2zBWqyPYQ/nC9GTnMVp75WWztHYB1RtZm4bNi4hMpFodDSSq0JTE3vzCH7Fm7m/GRfgSF9Z6Ll1sP/ADLyf/GMxvxnrg2m4bIqArFVlgSxYb+tidqIIHif72BX3m+HyMRzcj9ob3mkA/5Novr5j0tKdv/DhnuIkSxrTrVtqLlsaxx53jAK0r+MDTWvvJrbDBm3OpttEx+O4XtsMvfkUiPM+GQEcSERmbCxvZQntqtrHZVyUierp3bzdo0OtbiT7q0lP/asKw0dFe9JcFoYrJ9oppjpnqOVhgk0ET+vE4CWIYjfBHzST4sPUuUDaHbZiitTcdAP1KRKQnbRvDU/iOL03o6744vs9FPoTrgZ2XA7tj4ZC9Mf16zSZi5Dt6k9CJjeqJDsup1NpP1eHawpnF8FNbqQYeC4aNiOP8vY8O8s+m9MJEk9PYm+46iLn02PFZmwpxznspgDPVi7V4z/Q4fO9QK9bAIiPWyYEA1ieLUPTMwVm8xIG1JCKygkRMurux9/He5DLBEFZ/h1CQyhwpKCgoKCgoKCgoKCiIejhSUFBQUFBQUFBQUFAQke+h1VkpZccp1zCl+Ha3geKwsAQp5V1NeN1A6jGv5+JzxgjSno+/ivTkPWfpn9nSraDq7FwDCs6NKVB+ulmRXhtuRz+mUg2d85g+Z0fK9PQw0ujzL0D/Cv+OPjxmBuVpagLpOhGRQ1SvqS15+LowTJvxgQWRFXTWZWCKgi+uVyHyEaXwU6JSfJMPesD7+Zjv+5pBgyhOYv6+jkKBZYCTKF5x0DkubAM94LlC0K/G/hHp0+QmUjSZjvETEelhRSo251rUANn3YJXWntmwTmuvKh2itT9OIt1+lRHpZwspDD4RBr3IRDUt+jrxfhGRg6162s2RYHgeqDmNMYxVgFTQItSeSdSQswqgJLM6iDT3um4Ym2+CeglFK9WBqntwvtae3Iq0+ggn7LM2AarfaFLK25TEfG82woamjMV6aNwJSkvJCLxHliF9XWLXp7+/bAA9xlsKmuO6ZtDRipxQCOqdA5pHiGw522STTlVOpjGIiNipNtUhoj/emVqltUfkYi0NdKPuw5IE3v9IIehvc9LofV8r/NrU84hK0g2+pmUm/N3ZAf18RyPo72gj6C23BzdqbQ+pIZ5hBz1ieitoKXOisPm2CBzVNVRPgqkxu8j/s1JQpAv3OJuVWZhWkWPEvMxpwG89pwRr43UH9pZtMczFzcVQuRIRmToMdK/L12EPeTiJcXu0ED621AD7djqwfqJh+JRxdoxJjxTm7IQIbPgz2osWCva6AqOe2vkvH/zWUA/mj5X5/ptowuNL4Bd9RA873obf5vfo6ZlVLTWSLVxaOOKwrx9IYm/iWm2DqGbVjBqo3Q7Mx+t/zsWcfUX+qJWUwu4twHue88OPxrrYJNtroQlzfKxgjr8i5VsrqZkuJZW9GStAp7qOlN36bcdvq6iGT/21E9+bi6OHRFN62t8aUp/l2k3ZxoTCjJ0wjXYWqZGeWQJalpfWm4jIcuqzk+ywka5SVDjgw0pIAbmSKPA+qkOzI4X9cVEj9omRBfBrzxHd6x6BfQxePlNrB4z6c+Tfc9G/VXCxYrdiXlc3QSGN6WtsO1Up2O9KqpnIZ+Rsg2sj+uNYs0zXr09jb++dg77/Rwp774P+NVr7GDf8wF0BKLvxXu026SnsL7VjPV2cC/9ySQT9+CyF+e5P9P6dZszxr1ywqTdjUGplJb4nCk7W2qfQdZcnKadTlYC/FNHXpGNV29oQ1nGZ84ddn1CZIwUFBQUFBQUFBQUFBfmezBFfQuYn1FWNuPR0XCEiGp81ozotP0Xz31ZH8XT7XDOeuv9UdKrWnj67UD5M4zLWK3mI9vUfiej61PX47i9NeH1XAmGByjuhsz7pGVz6i9BFuiI7MheWK67U2qs/R7XrST483V4rtbqok52qfNfE8N1ldjyhrm/KXs2crujhyUSlGuOIXvKYi+grofd0IopVT/MxqwlP81MteP0lByKbPeOICkw04HLm1zZENmqsiKS9lESE5/KVeN08FpWyV08bKPFlyAQNnYlo9B8fwBg+cCps4quFiNJfSfWoJtuR8VpkROSbMyNeupBcb8LvXNKgr0ifTdRFYRftVLMg34LoGc8RR1A+a0S0pocbc/dGChFOcYiMpqrt261ojyjFOv6gDRElXwSR7GkkcrCbBDK43svP44j8eF57XWs7q1Evafq5M7R2ngm/M89q10VyDtqxphe34u/z7BgPrpvBl/D5gm+20R5FVC5CYgODvYhOHhL03UTRSc6Qj4ljbC9KoL+VxbDhVBvmcmYCEfsPPkJEL2rEmF95FiKcuZKS0E7Ma4pq8cyroYxGgur1UFZ7WQx1whJJfEeK5qi7B9msD5qQXeL6R5UeZHG2+iE2IfK/Zwuzhe42+ITZ9egXr5kVbchATvHC1zzRm+VD6uSrvRhrukMul6bx2zfQnzyXDz8ytRV+sbkNa3cYiXlMrVustd8sQBZ9+C3wl6kXMHd/8iH75bLoo7aDc2CDLDrEkeRLyyD+wXVr7k3BBp9NYV1WB47eJfKZzZTJy0f2e2cItj6hGK/vCoPRwDV+Wqj+0Qt25CA311VpbQ/VsuqTN0pr1wcwTiIiD5SN19qTBZ97L2WKXw3iHDOvAPu804P182Yz7GaJE2t9D4lHTCpF9nJ7COvt3SR82UCq3TfRMkDm+JBtCsVhFy1JfYYvm1gfyOzRbTF8Bwt4FFNWbQPVFxTRC7KwqA9nM7e1Yc6iJNS1hXxeaxRz4SDGTRnV1xxFjAYnxfXPe7RSawef/1Rrn3GsyPXbsUee/+ZNWjt36rNa+8AuzPEQErXa3AzWBM8lZxDT5HNMXeokZhOcueIaUkbac1pp76rIgf96KICz1RDKOLNoRmsY2TD+TSIiFvo+fwxn5Vfqkd29jepLndiOvt5nxPt3+2E7LVF8342FY7R2VRq+6dqLcQ75YgbOBTtELxIRobU7wAU20zgj1tZrgnVl/oHz9JPMHPGD0U8R/GCkcOTgByOFHwd+MPop4mgWbj0a4AejnyL4weiniKP1YJRN8IORwv/74AejnyL4wUjhyMEPRgo/Dvxg9FNEJHX09umf9olKQUFBQUFBQUFBQUHh/xC+87GQqVkuM9LWo0tBVSsxIvW/U3BhmNOAXGPm9yZcVB5cjstUX9BdySEm/YWpc+txMTFUg9T21VTz5emf0c1GulD5wTSk79rMeMr8XU+k29sb8RuScz/R2o+nkX7j9PGxJn1UlL85bMX7ltJlUwtRUbIdlHZ1XNZrpov+lQ69xv/BCC5/Hwqj3Z1qzFQZMQmtQcz3OhNoRNcL0uIb6f2z6nCB00D6+Q4PUuRta0EbuFsFAAAgAElEQVQTKHkYKe4ld0/V9TWSQBp+dRo2cvtSpPrHW0BLcVLNKjPVG5mYRCr2DaJQTLTi0izbbI6N6iiJSGsW56mULrEzhaAqBCpJoQ0CBEyx6+7EHIVItCEnjdhGfys+U0TkINUk+u+doEI+exfs4pmnMLanCsZzgwGpbTMJVlQnYRNDvwH1JPInUBQuGobVMHQ90tr3GfUqJJUu0LG4Vgb7ihqiS3Kq320+ehdfixyZeXKYrLrXq6mPx5KISSXVo6pPwNd0TyCzM6AP1s/KfXTJl+42H0eUkZfjoN1UGmETB+fDDo6P6DNxHqoZssEEmzrBhbpFX/pBNWM7yicq6vPkn5c4YF95brSjlAVcQ+tzTxtoMsX2o0d93BWkOjkk2sE0zFIrvt9N68TVH3544kDMi4jIjLlgBDwaApX1djcoNRvrsJbuMIEyMug20MB2vYB9s5sba2B8b/Q7sRd9GvUw6MwDHsR7LrbBzkREziZRhcF3gh5z1fPw59uiYF2cacfcC1Ge9kTxux0W/QX7eBYTknk22ofrcRH89GJc5O5hxLg1W/F+pgpyPZY8ongVUL2txhDssJ125OOKYM9jIrxTi7zvwP5wVRLzcUMI9Orul2OvMHiwTtb+A9/3iyRs4qrGJVr7tjJcKG+34dyyOwh60Wgv1v0xLr0g0IEI5qnI5JKjhZZIxm+NzofgAdf4WdQOkQIWlhIRaWMqF81lPe23f8yDmMszMVzJaIngvDIqD2dKFikKEBV4th/0axZPWvcbfOZbdoznP9+ZrOtr7NWX0b+9sJ0DBqqtE8T6YbGm1W24FpFrhd0wzb3cAl8kIrJfsgfej1ro/NDbDv/STOPZi2pQfkPnt2VNEHVh8YJ7ykH5PSQY/0/pqoyIyN1FmMtP46BRn98MwYN3qAbliURtWxyA2M/xVAuJKd4sVvXbmbDHXWb4uHyqicW/R0Rkbxr+89Ki8Vq7KYz1WpP8YVRilTlSUFBQUFBQUFBQUFAQ9XCkoKCgoKCgoKCgoKAgIt9Dq2PlByelWefUQSGI1epOzR+gtbeQIg2rQ6y0IbXtDCG1mSAWy+SwnjKy1QbqShHVfliTBDUuWYPU6LVfIu32VQDp/Pl56GuwBXSCfS1IL/78TaTcTjIjXe6n9PHulL6G0JJm0OfG5OM7uB4HKywtrs5m1Q+RMmsmnWun1KvbpKdLcJ2W5gjSsn1ykfb0UW2cp6wYz5V1SGcPKwe1Z0YzhBT44t6+E6juwBrQ1hprYR8Fq0BfnNeFJXWlAzSW64jitZBoXXYS45vgRdr48hZQXQJUD4fpAO9G8XtG5yF1uyMIOpOIiF7n6MiwL4i6GOVOjDlTkY71gAaTQ+ttdxQpZdbr32rH2AyJItUvInLDOPyWSC3W01NPwQ7+3PK11r64AGO+JYK+Ts4drLXPOAcjEn/zVa19aAWoLh8kc6kNKsJ+Hz5TRE+jYD+zvBkUiQlFULLaEUbqPc+i/63ZRKedHAjoRWFYle5gCPY22ov6S72JCvmSGXY47iB+Xxsty5cDm7X2YBfoO/vJVvJyYPOv+mC3hjzUhhIRmRcDlY7tPmjBmmaq8wCqCxekWiW7aR0niZ50Xy3q51xdfrzWro6BruAmxcNDwWxXoALYl3WjvWF1C2iDE0pgX1c60ZcFs+HTz34RdDYRkeZ/YT6esGM9TKiED5u9D/N0Qn+sxc+fw9z/IYF5Yl+be/V4rW3Iw34Qemuh1p4/GMpnI9dD7U1EZJcHFLEhL2BeE0RzHE01/v5S86XWriYVu/6CfSmc1PPo2rNYg4997glEo/EaMH8ro/B/232g6ZxWBL/zTRR7cncT1v6lLtRRWpULm98Qx3zHyeaft+n3bXMKdL23o1DA6kP1bU77CH+Tb8Y4bw2gr7ODUCK9qxyqu8viWJN7AvidY3Kx54yNYb5nBPRqj8NyKvH30aO3nqIdFGCuGfaV7/BUOqbRiYiMo3lqTGMOmLb7jgG+O5CAX7yVVMqeqAEd8bGy09APM8Z2D6mExkmJ8Z92nC+fmgwDDjyKPUpExOTGfLeHYUdLUziPseLoUFKu29IK+7gmD3ZXJ1g/myL6PS6b4DloIZ/CdFIX+d/lwSqtzQpzfHVgrAe1F78kWx1pgY88l1QmRUTOSWJ8Kww45xWSquq9QnX6qE7Y8AL4ZKaWcv8GekFt/mcznjNyreg3+9TTi0DRFRGZXw8a4DuC+Yin0L+TCnEOXVitX3MMlTlSUFBQUFBQUFBQUFAQ9XCkoKCgoKCgoKCgoKAgIiIGkW8vQDK54lyt/XU7FOM4DdY7B7QSps9ta0Wq8pNcKFzcKVVa+z/tSC8vSiF1PvMp0DZERPb8N6hxv4ghrfcfZlAIHPQrHmpBcao5OaBODHu4UmvPfoAKzlHq/V4j0t8DrUgvftSIFN/9RSfp+hehIfw8DgpGhOgq9WFQkhraQR3KBryuTLoyRIUgB1HRShGRlrhezawTZxBV40Mq9FjiAF2ljqhcvTyY72usSMv+I4H05JlWohERNefJG0AhCH+F9w9bqacMVDgw7rcYQGPJTYJLZ6Qx32mF3bUa8Z4QKTQtiWJemHZUaQdNsNioV6t758BHki2UewdpbVZ+bIogLc6Fk8/1IPUbpjHsRqpysyNI9R9n19ds+Wcj1AM7FdhE9HPJqoKMv3lh38Q8kQsvRrp803tI4U+zEqUliHU/xYOU96s+2JaIyGs20JbaTYjRNJDy4PQ4fh9T2cKkBOcPZVMTSGRUaUZhaq9fX+yw1AkaVC+ymSVNoNTeVAy/lUdKl1xybkESdD1W4WJly0tKQYFaEYDfLSLFQ5tBz4huTcAvDiDFphCp2G0n2ui3Ff8sc+N31gZgK08Xj9faW6jgdlka9M/H6kCN4WKKIiLr67467Pf9GFjIv5xBRUQX01xwcdoFfUChMduxljZtgy8TEenmBoXq8QTWWZ4Bfmt2AIXLo+TfWUGRVV65YOM7dvQp14s9dHYLFdI14TOfnATfICJy5Rx8Vj8jKOlM8x4vsJGIAT7yY9qXgsnD041FRDZTYccjxdgyKGAdDGP9MjXrN6R+tTABGsyKRlATp5WCZnWuC3vFs2FQeD9qgxLWJbmwiRdqlmptVq4TESkg5bt6KhL+MzP2znfJB7UTJWywA9S7OQ2gP7K6J5+NhtjQHiz4XhZEfapxua5/LlIS7O+GzS+tWSjZROf5ge12ZB729jUtoEczvVhEpF8O+rU/gPnrRgqrB4OY++4uvH6yHRSqU4he+CfB2WBXO3xWXw/2uJtNoKBf+Rr87v5b5mjt4n56GuW29fCLL9ow8lE6J6zxYz8x09rtQapwQ8xov1wLv8YqpiIia+uWSbaQ48J8JFPob58c2OEYO+ZiC1FL1zWDbsz01pVNoE5y8fUI7a/j81HcVURkUhprLkBng81U7HVPHGfdKUbM2R4TfO/OFNZbgiiSAfKprFS4uaVKa19fTj4jiP1RRCRKNOFTPbji8k0CvnRVE87f8Zj+KgVDZY4UFBQUFBQUFBQUFBTkezJH3fJw2e5YN6IprUk8JdooW7TVjyf+07144jyd6s0MSyFqdG0C0SyOWrREoXUuIjI5H9kfOz3PcbThZSMislVhtO9xIorULY4n1GIjop/bDIjk3NyMS6xnFuN7ny/Gb3Z3o6JMInL/RkT+9ibxRLw7jEjKIT9dJvyOp9Ufg85od5ieusus+jojLDYw2IWIzXAT3veeH5HXthjmiTMa9XT5dARdsBtjwRjEKBLDuYnfePC3uxr0taweMCFjxxfHp1B26rJiRPOnNyISVxnHtzyZQpTreiv6t8QAm+I6H9takOkYVwx7FxFZWD1fsgWzBRGUihxEsJIUNUnQpcFQHPY50osxuDWByNtHVDujpwGZHBGRjSn8Xh+t13q6QN8WQ2TtHFrrj5Qg8jOrBv2ea8DrpSSMckkYETYrzf0KO9Znvy71U9pNmLMoGckWipw3pjEGm8OwD64Tle0srMtRqbW5jko7Rbv50m6hHZG0NLnSg7TeU+TbuN7ZhEJk1tpT+K0skPAzM9bqg02IRHImS0Tkdgcyk3by6C/TZeMcqknHWf47YvgNn1MKviWN6OoBirw1UhZ6CEXQG+mybktCf7M/mxmJsyvO1tq7w2AA1ASRDXOYkdHadymizItIkGGKX98nvrR7fAGyDAGam2/LYG4ZWKm162thN1MNWKN/SGHNfEl1a6qpXtzJEexve2z62GUpbTt1lDj8Mo11OYzqYlmo5tsmqjuziASE7GZ9Pa+6Nn3dkCNBcQ6i1ClaG32ong9HtUtdVDMshL3inlKIHMyKIFJ8rh2Res7O8iX5jTGcBaIpfeE6ZnOc4sV8v/VL+GdDEfxtYjUue388E+vvCyv864w6iNwMy4ffvorW8awUbHZlM6L3YwsQ6RYR6WXGXEZon3j3wMeSTXTOE89RmApeTSlGJntGExgJIiLHebHH8ppvpH1mlLtSa5cTO2NDHGtpfTP2bUYPD+aCxVfeH4r+LdoAdknUoGdDbLXC9x4iwYgFbTvkcGiNYE/kbMoAytztCBz+/Gbs8t01vm2Hfd+PwaBiiFfwWZn9uNsE/84ZYYcR+3BzXJ9N68RJdozhKqo7VBtp0b1vcSnGIacM4/nQXpz/InQG4PN6WRr9eKIRGbfTCnH24Ow/nzuv94JpspnONnMb9KI1J5LYAu/HXDsrSO0djavl26AyRwr/4+AHIwWFnwL4wUhBQUFB4f8u8IORgsK/C/VwpKCgoKCgoKCgoKCgIN9T56g7XTxm+kKuGanR9a1Ih44qgMCChZ67FpqQyhvnRDr0UzPVLxoFzoD1wot0/Wh6/AutnT8R6ezqmaBRrD2AfnA6bpUJKe9qQdrXT1SJHmZEGDhifGUCae0PG0A/m9Csvyj7Wt0Kre2yILXptSEtezxdhFtak11aXazj0jXTBLpb9bSbmzzDtPZkoljMSmOe6ojKwHUmVrdhbK1EC+KLvVsMSL9u8YPKM8gDOsHf/LCn1RZcGBxqRupcRGR9BGndjQbQmR7bic/9eQHSuL8OIDXKlKe5FsyZmYgXbXHYwQVlo7T20Ywzlbhh6yEShPBQbZxgHK/fQjUgKpKYo15WzN3kGKX97Xoq6vlJpLCnmfHbu5th3xsMyNhtoBoN/1UNyo/NiHn1Uzr6QAyv1xDdIdcAms6jHqyTO9vRHxGRa2M5WvsjOz53bRhro5notWx3TCvINoqdGZvxWly615lWx99fTfV8+KLsJKLkxogS81ULaIDrA7jsXUPiB6Pp4nibEdSAod5Krd3ToqfNDoiAMnRZENQXrmtR6CRqCNWhW+TBZy0mkY/tRDkt9+ASMtvpdqJv8LjwJdtsY2cItjqM6kM1hWFvvgjW+N75GIO5duwz59ngE0VE1pPtfd0C4YUl+aB0DLwHVK7pL+A32r0kMDPnT1r74/lvau1lt4PKc08j6kbxHH1E9TxCYawLET2N7/aiE7S2l0RaBsYwH7Mt2Hc/r9+gtU8tAgWzsYtQT51+azsiMIWUaT580fqKsrFa+12ipKXTsPvFccx3Swz9/ZMPYgtPF0H8YS3t8w1R7GkDyP5FRHZTjbnxKfijT5/GmeHc/wTtzViG/euCKRjb37wEKiLX+2NBJvZYp9B+t9FcpbXLTPr6bXVJ+ByXUe8/s4lO8QQW0SpxwScsDeP1YAxzJyKyitbJI4UQ8nkqCgGeeQ2gI/YikYrGCOamkmpC5tD5siaCM94kE97z5XqM6H1J+FT228aYnua2pgl9rfBgLnW1yGgtDqazC1OdmXrH/e5GteNEskur4/qGXPPnUBh75EkFoJTxlY5uVGOznw204vokfserdIa9pRSCB60kSiYiMmAPqMiDW0BXPtYGv9pPcP7+OHaA3oOx8towT0zn5H3+b1Rrbp7g8//ViHp0vOeK6CmPFhJHYRGsg4FG+SFQmSMFBQUFBQUFBQUFBQVRD0cKCgoKCgoKCgoKCgoi8j1qdd9WT2K9v0prD3SD1lAbQ5qUlTOmppGeXGZHGuzCCFJlx/3jLK1tOgbqKCIiyRVQZxlyyyytPcNaie8wIkU42Yi09fn5oAOO3o8Unz+K1PkNpaAo9Eohff1KBOnaW22gxXm6sHoei4EuwfSBfe2gh3FNmWgUFIxs4Iael4iIXtu+KaanWf3Mhf6/49+qtSsdGCvuO6uaFFtAOVjSiL8d6MW85lLasjUBOsDWFtB0TikGneNYqhXQktZLmX0ZgILRm2b0e7MV9BEmGXwsSL0/kEDKeWLbOq19bhEoNPtJh39HG+aCa6OIZFdha3y3CVrbSjVqYlSH5gBRCMa6kLK+M4kl2vcMUADiDfjbCzfpGbJxojXxvLqNGMNupJjFyi6lRNO50oDv+x0VPdofRV9/ZgPVaFIa79+RAE0k1aWm0uNJzHFN6PA1dwbnQCHzQASpcFY/+ujAp4f92x+LwcUZmo+fbFhEpMaPPg7Kx9zUR2BLXP+t2AFKbl8n1Lluj4Gu8ltBTY1SC97PCkSsQMl1WR4x6932mS1Q8eI6FU94UQPkrTRoRMU098WkYrcxRkqObaR0R3QTpqxxLZYA0e3cFr16YjZVBTvnSERfQ6WPB+Psp5o0TAOvi2K+ulIyJpLC6uYo9o25g4iecRK+wzzlV1o7tfwTrb3396i5020U/Kj9iola+8k74EeneOC3Ewms1TMa9PsEz+u5+diPewrGupEq5/SkGlTTI6AUOYx4fasPcywiEono/30ksNuxfpmmHSU1Uq7v1c+Ls0SIKLz32PG3T4RBqWGqTJjqm3BNGva1+yN6Og3TQN8yQ1muIAdr/21ar/ech/ONaTBU2orugg/i+oL83W/lYcd6KoC1zpSi9aSsJ6Kvg7Y/CJpUthU6+xcdJyJ6Ohvvi6yqeTCOMRDRK8tym88+PCZJIhj6SC2VlSK5XmO5E3PZFAXn8ywvbGJZALR/toPBbpxPRETW+eAjJxTg74cL9qkZEexLTL8vJeo4r59DEazdmqBe2S1GtRWPFAWevod9va8HZ/Q4jT9TV/f64PfNRFvj804fO+hzDrJbViAVEakjFcI99LlMobWbYOtMwWb1v+lEmZtqBBXuOjP21gpSl15ux1oop2sGf43oVQe5bqST9iamgzI9+bvO4ipzpKCgoKCgoKCgoKCgIN8jyCAiMqkk84SXSCdlL0VeRudkIieBVFSWN2We3nrllMo3/kz0Y7C3hy4qMs2Yeco8UUqlPNX5tQnZ3BFhPE5EjKWIxuw9/V6tXfmH4+X2uxExqrB3XDBLidyazvQpVxxyXSqTBWkyilxUkolcJONG2VXbGX04IGNzM6IRCxo2y/GFuPgckc6nVIssSCNKfJmz4z1JkXUd4g7jUg55SfSiCvvbMt93jLebTu++uzvzRF4daNJqb0T192yPGGujme+2GS3S3ZzJ8jTF2qU+hCjpJ6b9ur9piWaiNpWOYlnakInejS8ZokUGLAaTLhu0JYCIItfj2dGWiY6MLegrIaojwZFbFsg43pwZj5CkZEE406eR9m6yJ4G+iohM9HRkjMIitSZEasaZMv1bnsyVSwZlnvo/3ubUXVg9P4TI7S+KM5Hzg+mwfFibEW4YWXiMLptySdFIERFZE6nWsmQNcX3mLRs4FM1Elnrbi3WZms5aF+WuAnGbEQWeWZ+5WH9n4UhZbMxEXfqKX76amxnDMSNrZdeGjoulRp9cbUBU+/X0IRlkzfzfzniLrGrMRBvPKDlWvm7NRJEvLBwurR3CJF6jVXwdWYpSo002JDPzcaXZLK+nO7MMIfm0NtOnIfmV0p0uoBZ1moRR5KaOubxT3LLUmrGJk2JWecmAaKKIPnLbaSP+WFiGdGSM0iJSR9no5nBHVsot8lkdsoLZRGeWwZ8ISRldZK3xN+uibnvaa7R+d2ZSTEajztYP+jNRxb7OMtQZs3jlto4LxA6TVYt0lVpy5YZUZl7fMLXIuvZMlHOgu7vOVhs6I3lmp1wb0duo15qxkbpEi4zJ64g0pvUZIx7zzs8qNtplQUf0tciao/s+juj2d2ZqXq2K7JZYMjOvLotNJ4LSWX8pEA+JzXT0LpGzWAdf3u/MjPolLIXWzFqOpxLSx5rZA+qirTLGk8kSrGjbI886Rmh/+5lEZGRHLaLNInKhtTOKeUhm78hEoS87KSEnvpzxhV9PERl0wm0iIrLl6Yly++8yY/hLo8hVHReoF4tV/vJ1Jrp7zxUizU8u6PjMMrn77sz6qX2xSYpOyPyG2qUi8RgyVVNdiLDe71ulG4NPmzMX3W8rGCPvBjvWt6s37WUijzUtFxGRCneRLiO5nTIDnTWduOZOtnBBcWZ829Ixaeqog+Mx2nQ1cdh+drZm+lWRUywNnQJBdpEQhXHnl2Qu9V/Q3CanOzJzNDuwW252ZpgJs1P1Wq3Dfs5yqejIku6XRonTHmU0mKRPJ3MiLnJJJLMPLsqplHs66k0NNYr4aDxDWzt+w2CRFx6num9Ud+wmY8Z/vZGukesMnXXiGuX02oz/O8eTK8MTmT1tnTkqc/2ZuSux5ckwK5gcm2ON0r/DbvcH62RoTua3fpHlzNGhQMZPDfL2kFZijIzJR7aiszagzWiRA0FkuIblVGrtg9EWne/gbDPDTpkX9ke+aGZsrSazXFeYYQ/NDe2TKxyZfvw1uka3PzJOcGfW9MK2HfLL3Mx+vjDZqBOHEhGpdCNbYqbM3AEDsgn+ODKH0STbC35bSyJA78dZp29uZq3vbsuu6JaISG6Hf2+LBXS+tblDpCTH7JCWjvmzGvVHe0/HXIQTMRmWl2F6tCVC8pApM7bTxSc3dtS7e9sWlFNTGeGmDyUo71Rgjs7YK7JkcOazun0l0nxFRgSi9L090vzQ6ZnXH1kqh+7IzEHetOVyQ1lG4OHD1k0yr6OeWENEpJUEE55JZ+Zls4gs6WCBXS0OecyUyZiOlzKZEM6sw21Wo/wthkz4qa5KrT0zslHLVjktNqkLZNaox+rQxB7CiZgmOHLgOzJHJhF56Nv+85xyFF/bHcGC4IKwi4lm1U6FQwvtoGKtNMIRjjUgTd1KEzjq5jO09r6zHtb146F5cEJxIwx6FhWDukWQXjyrDIewndVQJal2Ia1X7EA/cohqtDGFtNxEG9L8O41Iy81L6dPf24g6Vkh0GidRSxKU8ozE9Q8CR4qyjvmotOCwurHtG917WDmvjlTt9lD62060tXxSfeECskwdaqW0eD7Nt4/S0VwA8wI3HkbnhJHiDope2eoEB+yriKghoy2Y77ED8aD+r2Y44Sf8UA66oRD0zNdrocbS3QWbGOfBA3mCNmmXySb72w9fmO7HwGyDvXmJvrC8GRtdGW2wy+j13m5sUpGdOHwH62FfpUa9Uk7MgnFjpaomeugrteNvuMjgISrUfMgAdbvptaAZjswFlW5UCv34XRJ0pASp6szpsma4KJuR1nQ/F4rO8oNRQwjrcrsf9phK6tW2jhQVnszvcpn0m3AjHcbZ7rlYIisd1QWxxqIGrP25gte5CO9UC5Q+/x6ATy0lu+FCsTMp+CCi37gHEdV5dRpjyAeRMNE5N4XhA3IoIFJNdMcRNN/7A5hjpi7k2+ADutRDlPaIfv6PBCYzvieWxO/o4cC6tlNApRf5xTIaz7uNoHCIiLgpwNKbCnDWN6B945oqrf3MK6DS7VqOz3mWipC31cOXDdwI1a4Jt+B1hwXj3LoHfehhqtT1b2EEdr+L1GP3pWFH5VaMzctNUPEsoLnZ1Y7PGUvFbrs7C6TKD798pLikfLzWrk5g/XARxiZaV6w2yIfSU1wYq0fzKVAgUD6bYEZ7fgiBwOF2vM7Fv0VEjnHi/54LgU613QQ/bCOK0Ym0b7/2Cexrh2D8f03reCT5zutI1fdSE3zc60HQCk9y6u0xz4S16CBfms19SUTE2qF8aTbhsMpKbQdj+N1dKdDsn4LknxK0p+eQIquN1hjT1lqjaN9ItNnRZqzpbQnQ1nqQGi+rxJ1HVM5P2/WUqwoXqGPFZpxvIuSrtpIvjJAN5lupIDipCLZQQfKe9OBVYM+RxmD2HpDKPGwbCAYlyKfzuuKHVFYOHZyL8bnXUKm1xybhx71Es76/Qh+Au74c6+G+k/Egf++lCOLcOYqUAPfBjv5MBdMP0Znh0jTa71twzv6MrkvcECNKeRI+6uQua2ZNO869fHWGg5ZeO+a+Lfzt+5Ki1SkoKCgoKCgoKCgoKMj30OrmUcSZL1wxbYyfyHq5EYk5FMJFNYcZT6Xv0VPvdSY8Vfpu/r3WvqRdHxWtDyOqw/VGuEaC0J3+eynS93kINT+GWSq1djVdzD2d9PM3JBCRe58unfez4yl5Q4s+umY1IxrCkQS+IMdRiGyjky4xpxGRSf5uEf3lUL4szdkKvlC5sgkUCxv9vrFFEEgop5o5XwcQrXOYMN8n5eP9r7ZiLkbkIBKd6R+iVp/5EDkf5Rmptael0Y+Tt8F2ro1RlCoPF5U/9CMqN7wAF275summFPrd9YJ2NsGCHHso6ttJtRTRXybly4tRA9bMQyZEtvYF0D4tD5fJRUQ2BHEZlGtWsIAKU9OG0fjkU1SNLwXbqK8LqNbAJifWG2Mb0SfsXep0lFu9Xd8uIiJLGjD3JxahbkNNEGvx1GJcpv3iUHbpC51CFhx5E8nQhDvRTlkbpkd20lNERB4pO01rjyDhmTftiIwNEozzfAOifv9lhc3nUh2ymwdgTj/Yhv6IiJxVDJvaUIdIapiycnHy27f5kOoooiz6mmbQFTopwSIia3yIVl9YepzWXtaO9/Nl2EL74W0iG+ikD4qIFNH37A5iPRTb8ZtmNcPvDM2r1Nq7KBosInLHr7GXJbZWae2apbDdQBjrxGejuacN6BISKHnOh+8+NYLaVydUIsNg8iE62/0EzHF8qX6N8Oxs+V8AAAVfSURBVOX0PFqjfPl6IwlJ8N7Mwjic1HPRGs02VtKecLIbGfp/Uj0jPlcUu7AXce2ZJ9sxhusM8HPH0X7waRpZoRK6PL+RRA6u9MBviIi87Qf9ekwO5pUztF4jMm49V+D3HF9IGT4SgNhoxj5flUJGyU0Z2VsbUOOqJ9XJ8XURJmLaF1NHs43O2m4H/BgrD/WXa0v1cOlrEi5uwBjmUkS+QJdFxu/Y0Aw/Ukz70pA8ZABeaQB9lLPdx1OWc13k8H5/fkQvGBGgi/jjvfBnPQz4fT2TOHs0kNjPN5QprIsga8W/h8ejms682UYifXjhix7kw7b6sMZ7eXAWZ7/B56yPLThLD6e96NabsOfENujPRNaBoO4bT4PIVGopbNq3AOMwKYJ+9LsD/dj3DNZYMA0fUMT9I1v5mRXzPcYL3zmnDUwhEf06MRNtr6cL64zH6bugMkcK/+PgBaugoKCgoKCgcCQIdClYq6Dw70A9HCkoKCgoKCgoKCgoKMj31DlyOpDqZE30errQz/SJvna8p9RIlwnpGWxwAunoBSaka/mC8OagXkHiFDfSaLVJpKoPEO2t2Ip+VIVALXiS1Ih+2Y4L5ZcV4vWDKVwGXNeO1DmrslU4kZL1dLmsvZnED1iwoNSN9H4BXZTdVA9xgGxgbNk4EREpp3pEfAlfRGRofqXWZoodp625BkFPC1Leu+giK6fYT/FgXg4l8Po6unzazcWXpDH321ugIsN1Y0REBttgRxfSRbztxADZKpiz3TGkcUfakMZdFAD9sZcD87c/jN9zkKgETHEQEdnTlD1FtHIvajxxWryfG0IiO/1EqSHbiyZA1RhTAHEGpoaGEvoo2bF0gdNCFLF5dbCLAifspVN9UkRkfaAK/SbKiIeES7hmxNBcfNfGNvwt0zcHuPA7RUSc30LnmVu3XmszXZXBVMRm/+7DvufHoiIvU9Ojp0NPH6mn+g7ldAk5SWn8XQGk/q/Jg3+51oq/XRwGdejsItQucRVhjn0HMW7uQqL4PH6j1g4+8bKuf0tXY3yDRsz3hH6wqXm7QakMUFiszoTf8F4IdNoA0Qed5PM6lTlF9FTLchdspSstcUfjaskWhpagdpOTbLKFlLZYrYkvJEeJunp5F5rVRaQ69TYJTXBemzfL52qWau1CopbyHtCpDCWir93zF8Gl/LUkhFNA2jThLqIWLyWrtHYbKWox5WY4iRdsCUGlMEVjwHW3WpP6el5rapdKtnBNz4u09vQa7L0jCqlGkBkUydVt2DdO8YKOvagZ9GiugVNEY/4k1U25PQhb+5UXFNBnfWt0/evlwl4RJRU7rjm2qAH0YRPRdM4rxvf1NmCPWhLD2mC6Y3UQe9TkQtTcm0Hjcn7ZKF3/mmhuDhKta1/zeskmOs95TCs3kQ/JITGIRhLGERG5rGyM1v6wHuPbKwdje4ITNumimxz1aYzPWUnQw5ia2C+JPaDahP69F4DYQhGdrSzEQmnsojjLa7+WBHOOzccababzTTXRpM8uxpzV0Rm0gWovHevU73GzDn4m2YKVxMFctK+yah1TGav8OAN30ia7gn30FCco7A0kILQ1oa/dxPXx+pLdR8gzvuPbeNjv4zPJxm+plco4zYQ9+PM49tb66LcLmjWGMecFDtgUC/dwvThf8NvFTVTmSEFBQUFBQUFBQUFBQb4nc6SgoKCgoKCgoKCgoPD/C1TmSEFBQUFBQUFBQUFBQdTDkYKCgoKCgoKCgoKCgoiohyMFBQUFBQUFBQUFBQURUQ9HCgoKCgoKCgoKCgoKIqIejhQUFBQUFBQUFBQUFEREPRwpKCgoKCgoKCgoKCiIiMj/AjKE5+kA4BqDAAAAAElFTkSuQmCC\n"
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q2QeVcNZ4yA8",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}